From 5604bb7400eaf3b8856bc9c95ac8215afb8781e5 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Thu, 1 Oct 2015 21:41:25 -0700 Subject: [PATCH 01/88] cloned origin/master --- siphon | 1 + 1 file changed, 1 insertion(+) create mode 160000 siphon diff --git a/siphon b/siphon new file mode 160000 index 0000000000..556e45636c --- /dev/null +++ b/siphon @@ -0,0 +1 @@ +Subproject commit 556e45636c6638f804c5d691254744f5443ad160 From bbf9088250067aeef9061be25074bfda0a618781 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Thu, 1 Oct 2015 21:53:15 -0700 Subject: [PATCH 02/88] removed siphon files --- siphon | 1 - 1 file changed, 1 deletion(-) delete mode 160000 siphon diff --git a/siphon b/siphon deleted file mode 160000 index 556e45636c..0000000000 --- a/siphon +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 556e45636c6638f804c5d691254744f5443ad160 From 989cc57e8d793f09ecab3977f3297b73a3d8a29c Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Thu, 8 Oct 2015 11:10:31 -0700 Subject: [PATCH 03/88] Added files for running and testing siphon --- README | 14 + pvlib/fm_testing.py | 263 ++++++++++++++++++ pvlib/pvlib_siphon.py | 460 ++++++++++++++++++++++++++++++++ pvlib/pvlibfm.py | 148 +++++++++++ pvlib/solar_testing.py | 586 +++++++++++++++++++++++++++++++++++++++++ pvlib/test_ncss.py | 167 ++++++++++++ 6 files changed, 1638 insertions(+) create mode 100644 README create mode 100644 pvlib/fm_testing.py create mode 100644 pvlib/pvlib_siphon.py create mode 100644 pvlib/pvlibfm.py create mode 100644 pvlib/solar_testing.py create mode 100644 pvlib/test_ncss.py diff --git a/README b/README new file mode 100644 index 0000000000..ec5435cb27 --- /dev/null +++ b/README @@ -0,0 +1,14 @@ +Information about project files for using forecasts found on Unidata +servers to make power output predictions. + +To accomplish this the siphon library is used to remotely access +the forecast data and power output predictions are made using the +pvlib library. + +File Descriptions: + +pvlib_siphon.py - initial implementaiton of the siphon library. +pvlibfm.py - class file for forecasts from Unidata. +fm_testing.py - replicates tests in pvlib_siphon.py using class objects. + In order for this to work, the pvlibfm.py file must be in the same + directory that this file is called from. \ No newline at end of file diff --git a/pvlib/fm_testing.py b/pvlib/fm_testing.py new file mode 100644 index 0000000000..bbbe7ec6b4 --- /dev/null +++ b/pvlib/fm_testing.py @@ -0,0 +1,263 @@ + +# # Testing Unidata/Siphon for solar power forecasting applications + +# This notebook is meant to test the usefulness of [Unidata's Siphon project](https://github.com/Unidata/siphon) for solar forecasting applications. Siphon has the potential to make accessing subsets of model data lot easier than using the traditional NOMADS services. +# +# Sections: +# 1. [GFS](#GFS) and [GFS 0.25 deg](#GFS-0.25-deg) +# 2. [NAM](#NAM) +# 2. [RAP](#RAP) +# 2. HRRR [NCEP](#NCEP) and [ESRL](#ESRL) +# 2. [NDFD](#NDFD) +# +# Requirements: +# * All siphon requirements as described [here](http://siphon.readthedocs.org/en/latest/developerguide.html). +# * Matplotlib, Seaborn, IPython notebook. +# +# Authors: +# * Will Holmgren, University of Arizona, July 2015 + +# Standard scientific python imports + +import matplotlib as mpl +import matplotlib.pyplot as plt +import seaborn as sns +sns.set_color_codes() + +import pandas as pd +import numpy as np + +from datetime import datetime, timedelta +import os + +# Imports for weather data. +import netCDF4 +from netCDF4 import num2date + +from siphon.catalog import TDSCatalog +from siphon.ncss import NCSS + +from pvlibfm import PvlibFM + +def testGFS(start,end): + + model_list = ['GFS Half Degree Forecast', + 'NAM CONUS 12km from CONDUIT'] + + fm = PvlibFM(model_type='Forecast Model Data') + # fm.get_fm_models() + fm.set_model(model_list[0]) + fm.set_dataset() + # print(fm.get_model_datasets()) + # print(fm.get_model_vars()) + + fm.set_latlon([-110.9,32.2]) + fm.set_time([start,end]) + fm.set_vertical_level(100000) + fm.set_query_vars(['Temperature_isobaric']) + + data = fm.get_query_data() + + temp = fm.get_temp() + time_vals = fm.get_time() + + fig, ax = plt.subplots(1, 1, figsize=(9, 8)) + ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) + ax.set_ylabel(temp.standard_name + ' (%s)' % temp.units) + ax.set_xlabel('Forecast Time (UTC)') + + fm.close() + + plt.show() + + fm = PvlibFM(model_type='Forecast Model Data') + fm.set_model(model_list[0]) + fm.set_dataset() + + fm.set_latlon([-110.9,32.2]) + fm.set_time([start,end]) + fm.set_vertical_level(100000) + + cloud_vars = ['Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_convective_cloud', + 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average'] + + fm.set_query_vars(cloud_vars) + + data = fm.get_query_data() + + time_vals = fm.get_time() + + total_cloud_cover = fm.get_cloud_cover() + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + + ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) + ax.set_xlabel('Forecast Time (UTC)') + ax.legend(bbox_to_anchor=(1.4,1.1)) + ax.set_title('GFS 0.5 deg') + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) + ax.set_ylabel('Total cloud cover' + ' (%s)' % total_cloud_cover.units) + ax.set_xlabel('Forecast Time (UTC)') + ax.set_title('GFS 0.5 deg') + + fm.close() + + plt.show() + +def testNAM(start,end): + + model_list = ['GFS Half Degree Forecast', + 'NAM CONUS 12km from CONDUIT'] + + fm = PvlibFM(model_type='Forecast Model Data') + # fm.get_fm_models() + fm.set_model(model_list[1]) + fm.set_dataset() + # print(fm.get_model_datasets()) + # print(fm.get_model_vars()) + + fm.set_latlon([-110.9,32.2]) + fm.set_time([start,end]) + + variables = ['Downward_Short-Wave_Radiation_Flux_surface', + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', + 'Temperature_surface', + 'High_cloud_cover_high_cloud', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'Total_cloud_cover_entire_atmosphere_single_layer'] + + fm.set_query_vars(variables) + + data = fm.get_query_data() + + time_vals = fm.get_time() + + # The NAM has cloud cover and GHI data. I'm guessing that GHI is not very good. + + cloud_vars = variables[3:] + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + + ax.set_ylabel('Cloud cover (%)') + ax.set_xlabel('Forecast Time (UTC)') + ax.legend(bbox_to_anchor=(1.4,1.1)) + ax.set_title('NAM') + + ghis = variables[:2] + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in ghis: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + ax.set_ylabel('GHI W/m**2') + ax.set_xlabel('Forecast Time (UTC)') + ax.legend() + + data.close() + + plt.show() + + +def testNDFD(start,end): + + # The times are messed up, but I'm sure they can be fixed with a little effort. + + # ## NDFD + + model_list = ['National Weather Service CONUS Forecast Grids (CONDUIT)'] + + fm = PvlibFM(model_type='Forecast Products and Analyses') + # print(fm.get_fm_models()) + fm.set_model(model_list[2]) + fm.set_dataset() + # print(fm.get_model_datasets()) + # print(fm.get_model_vars()) + + fm.set_latlon([-110.9,32.2]) + fm.set_time([start,end]) + + ndfd_vars = ['Total_cloud_cover_surface', + 'Temperature_surface', + 'Wind_speed_surface'] + + fm.set_query_vars(ndfd_vars) + + data = fm.get_query_data() + + total_cloud_cover = data['Total_cloud_cover_surface'] + temp = data['Temperature_surface'] + wind = data['Wind_speed_surface'] + time_vals = fm.get_time() + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) + ax.set_ylabel('Cloud cover (%)') + ax.set_xlabel('Forecast Time (UTC)') + plt.ylim(0,100) + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) + ax.set_ylabel('temp {}'.format(temp.units)) + ax.set_xlabel('Forecast Time (UTC)') + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + ax.plot(time_vals, wind[:].squeeze(), 'r', linewidth=2) + ax.set_ylabel('wind {}'.format(wind.units)) + ax.set_xlabel('Forecast Time (UTC)') + + data.close() + + plt.show() + + +def exploreTDS(): + + cat = TDSCatalog('http://thredds.ucar.edu/thredds/catalog.xml') + + print(list(cat.catalog_refs.keys())) + print(cat.catalog_refs['Forecast Model Data'].href) + print(cat.services) + + cat = TDSCatalog(cat.catalog_refs['Forecast Model Data'].href) + catList = sorted(list(cat.catalog_refs.keys())) + for item in catList: + print(item) + + # print(cat.catalog_refs['GFS Half Degree Forecast'].href) + # cat = TDSCatalog(cat.catalog_refs['GFS Half Degree Forecast'].href) + cat = TDSCatalog(cat.catalog_refs['NAM CONUS 12km from CONDUIT'].href) + print(cat.datasets.keys()) + # print(cat.__dict__['datasets']) + # print(cat.__dict__.keys()) + # print(cat.datasets['Best GFS Half Degree Forecast Time Series'].__dict__) + catKey = list(cat.datasets.keys())[2] + print(cat.datasets[catKey].__dict__) + + # catList = sorted(list(cat.catalog_refs.keys())) + # for item in catList: + # print(item) + + +def main(): + + start = datetime.utcnow() + end = start + timedelta(days=7) + + # testGFS(start,end) # 3 plots + # testNAM(start,end) # 2 plots + # testNDFD(start,end) # 3 plots + + # exploreTDS() + +if __name__=='__main__': + main() \ No newline at end of file diff --git a/pvlib/pvlib_siphon.py b/pvlib/pvlib_siphon.py new file mode 100644 index 0000000000..347292d5d4 --- /dev/null +++ b/pvlib/pvlib_siphon.py @@ -0,0 +1,460 @@ + +# # Testing Unidata/Siphon for solar power forecasting applications + +# This notebook is meant to test the usefulness of [Unidata's Siphon project](https://github.com/Unidata/siphon) for solar forecasting applications. Siphon has the potential to make accessing subsets of model data lot easier than using the traditional NOMADS services. +# +# Sections: +# 1. [GFS](#GFS) and [GFS 0.25 deg](#GFS-0.25-deg) +# 2. [NAM](#NAM) +# 2. [RAP](#RAP) +# 2. HRRR [NCEP](#NCEP) and [ESRL](#ESRL) +# 2. [NDFD](#NDFD) +# +# Requirements: +# * All siphon requirements as described [here](http://siphon.readthedocs.org/en/latest/developerguide.html). +# * Matplotlib, Seaborn, IPython notebook. +# +# Authors: +# * Will Holmgren, University of Arizona, July 2015 + +# Standard scientific python imports + +import matplotlib as mpl +import matplotlib.pyplot as plt +import seaborn as sns +sns.set_color_codes() + +import pandas as pd +import numpy as np + +from datetime import datetime, timedelta +import os + +# Imports for weather data. +import netCDF4 +from netCDF4 import num2date + +from siphon.catalog import TDSCatalog +from siphon.ncss import NCSS + + +def testGFS(start,end): + + ## GFS + + # To get started, I'll try to follow Siphon's [timeseries example docs](http://siphon.readthedocs.org/en/latest/examples/generated/NCSS_Timeseries_Examples.html) fairly closely. + + best_gfs = TDSCatalog('http://thredds.ucar.edu/thredds/catalog/grib/NCEP/GFS/Global_0p5deg/catalog.xml?dataset=grib/NCEP/GFS/Global_0p5deg/Best') + + best_ds = list(best_gfs.datasets.values())[0] + + ncss = NCSS(best_ds.access_urls['NetcdfSubset']) #NCSSDataset + # print(ncss.variables) + + query = ncss.query() + + query.lonlat_point(-110.9, 32.2).vertical_level(100000).time_range(start, end) + query.variables('Temperature_isobaric').accept('netcdf') + + data = ncss.get_data(query) + + temp = data.variables['Temperature_isobaric'] + time = data.variables['time'] + + # print(data.filepath()) + # tmp_path = data.filepath() + + time_vals = num2date(time[:].squeeze(), time.units) + print(time_vals[::5]) + + fig, ax = plt.subplots(1, 1, figsize=(9, 8)) + ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) + ax.set_ylabel(temp.standard_name + ' (%s)' % temp.units) + ax.set_xlabel('Forecast Time (UTC)') + + data.close() + # os.remove(tmp_path) + + plt.show() + + cloud_vars = ['Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_convective_cloud', + 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average'] + + query = ncss.query() + query.lonlat_point(-110.9, 32.2).time_range(start, end) + query.variables(*cloud_vars) + query.accept('netcdf') + + data = ncss.get_data(query) + + total_cloud_cover = data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] + + time = data.variables['time'] + time_vals = num2date(time[:].squeeze(), time.units) + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + + ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) + ax.set_xlabel('Forecast Time (UTC)') + ax.legend(bbox_to_anchor=(1.4,1.1)) + ax.set_title('GFS 0.5 deg') + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) + ax.set_ylabel('Total cloud cover' + ' (%s)' % total_cloud_cover.units) + ax.set_xlabel('Forecast Time (UTC)') + ax.set_title('GFS 0.5 deg') + + data.close() + + # plt.show() + + ## GFS 0.25 deg + + # Now with the new, higher resolution GFS... + + best_gfs_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/NCEP/GFS/Global_0p25deg/Best') + + variables = [ + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', + 'Temperature_surface', + 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_convective_cloud', + 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', + ] + + query = best_gfs_nc_sub.query() + query.lonlat_point(-110.9, 32.2).time_range(start, end) + query.variables(*variables) + #query.vertical_level(100000) + #query.add_query_parameter(height_above_ground=1) + query.accept('netcdf') + + data = best_gfs_nc_sub.get_data(query) + + total_cloud_cover = data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] + total_cloud_cover_05_deg = total_cloud_cover + + time = data.variables['time'] + time_vals = num2date(time[:].squeeze(), time.units) + + cloud_vars = variables[2:] + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + + ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) + ax.set_xlabel('Forecast Time (UTC)') + ax.legend(bbox_to_anchor=(1.4,1.1)) + ax.set_title('GFS 0.25 deg') + + ghis = variables[:1] + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in ghis: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + ax.set_ylabel('GHI W/m**2') + ax.set_xlabel('Forecast Time (UTC)') + ax.legend() + + # I don't know anything about the GHI forecasts from the GFS, but I don't think they'll be very good for solar power forecasting. + + # Compare the 0.5 and 0.25 deg forecasts... + + total_cloud_cover_025_deg = data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + ax.plot(time_vals, total_cloud_cover_05_deg, label='0.5 deg') + ax.plot(time_vals, total_cloud_cover_025_deg, label='0.25 deg') + ax.legend() + ax.set_ylabel('Cloud cover (%)') + ax.set_xlabel('Forecast Time (UTC)') + ax.set_title('GFS 0.5 and 0.25 deg comparison') + + data.close() + + plt.show() + + # print('Cloud cover' + ' (%s)' % total_cloud_cover.units) + +def testNAM(start,end): + # ## NAM + + # UCAR thredds has 12 km NAM from both the NOAAPORT and CONDUIT services. + + best_nam_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/NAM/CONUS_12km/conduit/Best') + + # The NAM has cloud cover and GHI data. I'm guessing that GHI is not very good. + + variables = ['Downward_Short-Wave_Radiation_Flux_surface', + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', + 'Temperature_surface', + 'High_cloud_cover_high_cloud', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'Total_cloud_cover_entire_atmosphere_single_layer', + ] + + query = best_nam_nc_sub.query() + query.lonlat_point(-110.9, 32.2).time_range(start, end) + query.variables(*variables) + #query.vertical_level(100000) + #query.add_query_parameter(height_above_ground=1) + query.accept('netcdf') + + data = best_nam_nc_sub.get_data(query) + + time = data.variables['time'] + time_vals = num2date(time[:].squeeze(), time.units) + + cloud_vars = variables[3:] + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + + ax.set_ylabel('Cloud cover (%)') + ax.set_xlabel('Forecast Time (UTC)') + ax.legend(bbox_to_anchor=(1.4,1.1)) + ax.set_title('NAM') + + ghis = variables[:2] + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in ghis: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + ax.set_ylabel('GHI W/m**2') + ax.set_xlabel('Forecast Time (UTC)') + ax.legend() + + data.close() + + plt.show() + + +def testRAP(start,end): + # ## RAP + + # The UCAR THREDDS server does not appear to pull cloud cover or irradiance data from the 13 km NCEP RAP, so we will use the 20 km data. + + best_rr_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/RAP/CONUS_20km/Best') + + # There is low, mid, high, and total cloud cover data. + + variables = ['Total_cloud_cover_entire_atmosphere_single_layer', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud', + 'Temperature_surface'] + + query = best_rr_nc_sub.query() + query.lonlat_point(-110.9, 32.2).time_range(start, end) + query.variables(*variables) + #query.vertical_level(100000) + #query.add_query_parameter(height_above_ground=1) + query.accept('netcdf') + + data = best_rr_nc_sub.get_data(query) + + time = data.variables['time'] + time_vals = num2date(time[:].squeeze(), time.units) + + cloud_vars = variables[:-1] + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + + ax.set_ylabel('Cloud cover (%)') + ax.set_xlabel('Forecast Time (UTC)') + ax.legend(bbox_to_anchor=(1.4,1.1)) + + data.close() + + plt.show() + + + +def testNCEP(start,end): + ### NCEP + + best_hrrr_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/NCEP/HRRR/CONUS_2p5km/Best') + + # Like the RAP, there is low, mid, high, and total cloud cover. NCEP HRRR 2014-2015 does have GHI in the original grib files, but it's not very good (see Holmgren et al AMS 2015). + + variables = ['Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud',] + + query = best_hrrr_nc_sub.query() + query.lonlat_point(-110.9, 32.2).time_range(start, end) + query.variables(*variables) + #query.vertical_level(100000) + #query.add_query_parameter(height_above_ground=1) + query.accept('netcdf') + + data = best_hrrr_nc_sub.get_data(query) + + time = data.variables['time'] + time_vals = num2date(time[:].squeeze(), time.units) + + cloud_vars = variables + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + + ax.set_ylabel('Cloud cover (%)') + ax.set_xlabel('Forecast Time (UTC)') + ax.legend(bbox_to_anchor=(1.4,1.1)) + + data.close() + + plt.show() + + +def testNOAA(): + + # ### NOAA + # + # NOAA lists a bunch of different HRRR runs at + # + # http://rapidrefresh.noaa.gov/HRRR/ + # + # The HRRRX run at NOAA has a much improved irradiance forecast, but I'm not sure if that's what the Unidata thredds server pulls in. + # + # Unidata's "Best" link is for an archive instead of the most recent forecasts. So, we'll just look at one forecast. + + best_hrrr_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/HRRR/CONUS_3km/surface/HRRR_CONUS_3km_surface_201510021200.grib2') + + start = datetime(2015,10,2,12) #utc + end = datetime(2015,10,2,23) #utc + + variables = ['Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_UnknownLevelType-214', + 'Medium_cloud_cover_UnknownLevelType-224', + 'High_cloud_cover_UnknownLevelType-234', + 'Temperature_surface', + 'Downward_short-wave_radiation_flux_surface'] + + query = best_hrrr_nc_sub.query() + query.lonlat_point(-110.9, 32.2).time_range(start, end) + query.variables(*variables) + query.accept('netcdf') + + data = best_hrrr_nc_sub.get_data(query) + + # ESRL HRRR has low, mid, high, and total cloud cover variables. + # + # It also has a GHI field. + + time = data.variables['time'] + time_vals = num2date(time[:].squeeze(), time.units) # this isn't working right for the hrrr + + ghi = data['Downward_short-wave_radiation_flux_surface'] + + cloud_vars = variables[:4] + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + + ax.set_ylabel('Cloud cover (%)') + ax.set_xlabel('Forecast Time (UTC)') + ax.legend(bbox_to_anchor=(1.4,1.1)) + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + ax.plot(time_vals, ghi[:].squeeze(), linewidth=2) + ax.set_ylabel('GHI' + ' (%s)' % ghi.units) + ax.set_xlabel('Forecast Time (UTC)') + + data.close() + + plt.show() + + +def testNDFD(start,end): + + # The times are messed up, but I'm sure they can be fixed with a little effort. + + # ## NDFD + + best_ndfd_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/NDFD/NWS/CONUS/CONDUIT/Best') + + ndfd_vars = ['Total_cloud_cover_surface', + 'Temperature_surface', + 'Wind_speed_surface'] + + query = best_ndfd_nc_sub.query() + query.lonlat_point(-110.9, 32.2).time_range(start, end) + query.variables(*ndfd_vars) + #query.vertical_level(100000) + #query.add_query_parameter(height_above_ground=1) + query.accept('netcdf') + + data = best_ndfd_nc_sub.get_data(query) + + time = data.variables['time'] + time_vals = num2date(time[:].squeeze(), time.units) + + total_cloud_cover = data.variables['Total_cloud_cover_surface'] + temp = data.variables['Temperature_surface'] + wind = data.variables['Wind_speed_surface'] + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) + ax.set_ylabel('Cloud cover (%)') + ax.set_xlabel('Forecast Time (UTC)') + plt.ylim(0,100) + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) + ax.set_ylabel('temp {}'.format(temp.units)) + ax.set_xlabel('Forecast Time (UTC)') + + fig, ax = plt.subplots(1, 1, figsize=(10, 6)) + ax.plot(time_vals, wind[:].squeeze(), 'r', linewidth=2) + ax.set_ylabel('wind {}'.format(wind.units)) + ax.set_xlabel('Forecast Time (UTC)') + + data.close() + + plt.show() + + + +def main(): + + # Define start and end of forecast period. + + start = datetime.utcnow() + end = start + timedelta(days=7) + + # testGFS(start,end) # 5 plots + + # testNAM(start,end) # 2 plots + + # testRAP(start,end) # 1 plot + + # # ## HRRR + # # There are two different UCAR HRRR datasets: NOAA/GSD and NCEP. + + # testNCEP(start,end) # 1 plot + + # testNOAA() # 1 plot + + # testNDFD(start,netestd) # 3 plots + +if __name__=='__main__': + main() \ No newline at end of file diff --git a/pvlib/pvlibfm.py b/pvlib/pvlibfm.py new file mode 100644 index 0000000000..6f92dbe914 --- /dev/null +++ b/pvlib/pvlibfm.py @@ -0,0 +1,148 @@ + +from siphon.catalog import TDSCatalog +from siphon.ncss import NCSS + +# Imports for weather data. +import netCDF4 +from netCDF4 import num2date + +class PvlibFM(object): + r""" + An object for holding forecast model information for use within the + pvlib library. + + Simplifies use of siphon library on a THREDDS server. + + Attributes + ---------- + catalog_url : string + The url path of the catalog to parse. + base_tds_url : string + The top level server address + datasets : Dataset + A dictionary of Dataset object, whose keys are the name of the + dataset's name + timespan: datetime + A datetime object, that defines the time reference info for the + dataset. + latlon: list + The extent of the areal coverage of the dataset. + model: Dataset + A dictionary of Dataset object, whose keys are the name of the + dataset's name. + model_url: string + The url path of the dataset to parse. + + """ + + def __init__(self,model_type='Forecast Model Data'): + self.model_type = model_type + self.catalog_url = 'http://thredds.ucar.edu/thredds/catalog.xml' + self.base_tds_url = self.catalog_url.split('/thredds/')[0] + self.access_url_key = 'NetcdfSubset' + self.format = 'netcdf' + self.catalog = TDSCatalog('http://thredds.ucar.edu/thredds/catalog.xml') + self.set_fm_models() + + def set_fm_models(self): + self.fm_models = TDSCatalog(self.catalog.catalog_refs[self.model_type].href) + + def set_dataset(self,extent='best'): + r""" + as: best,latest, or full + + """ + keys = list(self.model.datasets.keys()) + labels = [item.split()[0].lower() for item in keys] + if extent == 'best': + self.dataset = self.model.datasets[keys[labels.index('best')]] + elif extent == 'latest': + self.dataset = self.model.datasets[keys[labels.index('latest')]] + elif extent == 'full': + self.dataset = self.model.datasets[keys[labels.index('full')]] + + self.set_ncss() + + def set_ncss(self): + self.ncss = NCSS(self.dataset.access_urls[self.access_url_key]) + self.query = self.ncss.query() + + def set_model(self,model_name): + self.model = TDSCatalog(self.fm_models.catalog_refs[model_name].href) + + def set_latlon(self,extent): + r""" + as: point or box + + """ + if len(extent)>2: + self.query.lonlat_box(extent[0],extent[1],extent[2],extent[3]) + else: + self.query.lonlat_point(extent[0],extent[1]) + + def set_time(self,extent): + r""" + as: single or range + + """ + if len(extent)>1: + self.query.time_range(extent[0],extent[1]) + else: + self.query.time_range(extent) + + def set_vertical_level(self,val): + self.query.vertical_level(val) + + def set_query_vars(self,variables): + self.query.variables(*variables) + + def get_query_data(self): + self.submit_query() + self.data = self.ncss.get_data(self.query) + return self.data + + def get_fm_models(self): + return sorted(list(self.fm_models.catalog_refs.keys())) + + def get_model_datasets(self): + return list(self.model.datasets.keys()) + + def get_timespan(self): + pass + + def get_latlon(self): + pass + + def submit_query(self): + self.query.accept(self.format) + + ### data variables ############################################## + + def get_cloud_cover(self): + return self.data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] + + def get_time(self): + time = self.data.variables['time'] + return num2date(time[:].squeeze(), time.units) + + def get_ghi(self): + return self.data['Downward_short-wave_radiation_flux_surface'] + + def get_wind(self): + pass + + def get_temp(self): + return self.data['Temperature_isobaric'] + + def get_model_vars(self): + return self.ncss.variables + + def get_variables(self): + return self.ncss.variables + + def close(self): + self.data.close() + + + + diff --git a/pvlib/solar_testing.py b/pvlib/solar_testing.py new file mode 100644 index 0000000000..d3d5a6f90d --- /dev/null +++ b/pvlib/solar_testing.py @@ -0,0 +1,586 @@ + +# coding: utf-8 + +# # Testing Unidata/Siphon for solar power forecasting applications + +# This notebook is meant to test the usefulness of [Unidata's Siphon project](https://github.com/Unidata/siphon) for solar forecasting applications. Siphon has the potential to make accessing subsets of model data lot easier than using the traditional NOMADS services. +# +# Sections: +# 1. [GFS](#GFS) and [GFS 0.25 deg](#GFS-0.25-deg) +# 2. [NAM](#NAM) +# 2. [RAP](#RAP) +# 2. HRRR [NCEP](#NCEP) and [ESRL](#ESRL) +# 2. [NDFD](#NDFD) +# +# Requirements: +# * All siphon requirements as described [here](http://siphon.readthedocs.org/en/latest/developerguide.html). +# * Matplotlib, Seaborn, IPython notebook. +# +# Authors: +# * Will Holmgren, University of Arizona, July 2015 + +# Standard scientific python imports + +# In[1]: + +get_ipython().magic('matplotlib inline') + +import matplotlib as mpl +import matplotlib.pyplot as plt +import seaborn as sns +sns.set_color_codes() + +import pandas as pd +import numpy as np + +import datetime + + +# Imports for weather data. + +# In[2]: + +import netCDF4 +from netCDF4 import num2date + +from siphon.catalog import TDSCatalog +from siphon.ncss import NCSS + + +# Define start and end of forecast period. + +# In[3]: + +start = datetime.datetime(2015,7,29,12) #utc +end = start + datetime.timedelta(days=7) + + +# ## GFS + +# To get started, I'll try to follow Siphon's [timeseries example docs](http://siphon.readthedocs.org/en/latest/examples/generated/NCSS_Timeseries_Examples.html) fairly closely. + +# In[4]: + +best_gfs = TDSCatalog('http://thredds.ucar.edu/thredds/catalog/grib/NCEP/GFS/Global_0p5deg/catalog.xml?dataset=grib/NCEP/GFS/Global_0p5deg/Best') +best_gfs.datasets + + +# In[5]: + +best_ds = list(best_gfs.datasets.values())[0] +best_ds.access_urls + + +# In[6]: + +ncss = NCSS(best_ds.access_urls['NetcdfSubset']) + + +# In[7]: + +ncss.variables + + +# In[8]: + +query = ncss.query() +query.lonlat_point(-110.9, 32.2).vertical_level(100000).time_range(start, end) +query.variables('Temperature_isobaric').accept('netcdf') + + +# In[9]: + +data = ncss.get_data(query) + + +# In[10]: + +data + + +# In[11]: + +temp = data.variables['Temperature_isobaric'] +time = data.variables['time'] + + +# In[12]: + +time + + +# In[13]: + +time_vals = num2date(time[:].squeeze(), time.units) +time_vals[::5] + + +# In[14]: + +fig, ax = plt.subplots(1, 1, figsize=(9, 8)) +ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) +ax.set_ylabel(temp.standard_name + ' (%s)' % temp.units) +ax.set_xlabel('Forecast Time (UTC)') + + +# In[15]: + +cloud_vars = ['Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_convective_cloud', + 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average'] + +query = ncss.query() +query.lonlat_point(-110.9, 32.2).time_range(start, end) +query.variables(*cloud_vars) +query.accept('netcdf') + +data = ncss.get_data(query) +data + + +# In[16]: + +total_cloud_cover = data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] + + +# In[17]: + +time = data.variables['time'] +time_vals = num2date(time[:].squeeze(), time.units) + + +# In[18]: + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + +ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) +ax.set_xlabel('Forecast Time (UTC)') +ax.legend(bbox_to_anchor=(1.4,1.1)) +ax.set_title('GFS 0.5 deg') + + +# In[19]: + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) +ax.set_ylabel('Total cloud cover' + ' (%s)' % total_cloud_cover.units) +ax.set_xlabel('Forecast Time (UTC)') +ax.set_title('GFS 0.5 deg') + + +# In[20]: + +total_cloud_cover_05_deg = total_cloud_cover + + +# ## GFS 0.25 deg + +# Now with the new, higher resolution GFS... + +# In[21]: + +best_gfs_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/NCEP/GFS/Global_0p25deg/Best') + + +# In[22]: + +best_gfs_nc_sub.variables + + +# In[23]: + +variables = [ + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', + 'Temperature_surface', + 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_convective_cloud', + 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', + ] + +query = best_gfs_nc_sub.query() +query.lonlat_point(-110.9, 32.2).time_range(start, end) +query.variables(*variables) +#query.vertical_level(100000) +#query.add_query_parameter(height_above_ground=1) +query.accept('netcdf') + +data = best_gfs_nc_sub.get_data(query) +data + + +# In[24]: + +time = data.variables['time'] +time_vals = num2date(time[:].squeeze(), time.units) + + +# In[25]: + +cloud_vars = variables[2:] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + +ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) +ax.set_xlabel('Forecast Time (UTC)') +ax.legend(bbox_to_anchor=(1.4,1.1)) +ax.set_title('GFS 0.25 deg') + + +# In[26]: + +ghis = variables[:1] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in ghis: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) +ax.set_ylabel('GHI W/m**2') +ax.set_xlabel('Forecast Time (UTC)') +ax.legend() + + +# I don't know anything about the GHI forecasts from the GFS, but I don't think they'll be very good for solar power forecasting. + +# Compare the 0.5 and 0.25 deg forecasts... + +# In[27]: + +total_cloud_cover_025_deg = data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] + + +# In[28]: + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, total_cloud_cover_05_deg, label='0.5 deg') +ax.plot(time_vals, total_cloud_cover_025_deg, label='0.25 deg') +ax.legend() +ax.set_ylabel('Cloud cover (%)') +ax.set_xlabel('Forecast Time (UTC)') +ax.set_title('GFS 0.5 and 0.25 deg comparison') + + +# ## NAM + +# UCAR thredds has 12 km NAM from both the NOAAPORT and CONDUIT services. + +# In[29]: + +best_nam_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/NAM/CONUS_12km/conduit/Best') + + +# In[30]: + +best_nam_nc_sub.variables + + +# The NAM has cloud cover and GHI data. I'm guessing that GHI is not very good. + +# In[31]: + +variables = ['Downward_Short-Wave_Radiation_Flux_surface', + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', + 'Temperature_surface', + 'High_cloud_cover_high_cloud', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'Total_cloud_cover_entire_atmosphere_single_layer', + ] + +query = best_nam_nc_sub.query() +query.lonlat_point(-110.9, 32.2).time_range(start, end) +query.variables(*variables) +#query.vertical_level(100000) +#query.add_query_parameter(height_above_ground=1) +query.accept('netcdf') + +data = best_nam_nc_sub.get_data(query) +data + + +# In[32]: + +time = data.variables['time'] +time_vals = num2date(time[:].squeeze(), time.units) + + +# In[33]: + +cloud_vars = variables[3:] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + +ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) +ax.set_xlabel('Forecast Time (UTC)') +ax.legend(bbox_to_anchor=(1.4,1.1)) +ax.set_title('NAM') + + +# In[34]: + +ghis = variables[:2] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in ghis: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) +ax.set_ylabel('GHI W/m**2') +ax.set_xlabel('Forecast Time (UTC)') +ax.legend() + + +# ## RAP + +# The UCAR THREDDS server does not appear to pull cloud cover or irradiance data from the 13 km NCEP RAP, so we will use the 20 km data. + +# In[35]: + +best_rr_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/RAP/CONUS_20km/Best') + + +# In[36]: + +best_rr_nc_sub.variables + + +# There is low, mid, high, and total cloud cover data. + +# In[37]: + +variables = ['Total_cloud_cover_entire_atmosphere_single_layer', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud', + 'Temperature_surface'] + +query = best_rr_nc_sub.query() +query.lonlat_point(-110.9, 32.2).time_range(start, end) +query.variables(*variables) +#query.vertical_level(100000) +#query.add_query_parameter(height_above_ground=1) +query.accept('netcdf') + +data = best_rr_nc_sub.get_data(query) +data + + +# In[38]: + +time = data.variables['time'] +time_vals = num2date(time[:].squeeze(), time.units) + + +# In[39]: + +cloud_vars = variables[:-1] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + +ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) +ax.set_xlabel('Forecast Time (UTC)') +ax.legend(bbox_to_anchor=(1.4,1.1)) + + +# ## HRRR + +# There are two different UCAR HRRR datasets: NOAA/GSD and NCEP. + +# ### NCEP + +# In[40]: + +best_hrrr_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/NCEP/HRRR/CONUS_2p5km/Best') + + +# In[41]: + +best_hrrr_nc_sub.variables + + +# Like the RAP, there is low, mid, high, and total cloud cover. NCEP HRRR 2014-2015 does have GHI in the original grib files, but it's not very good (see Holmgren et al AMS 2015). + +# In[42]: + +variables = ['Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud',] + +query = best_hrrr_nc_sub.query() +query.lonlat_point(-110.9, 32.2).time_range(start, end) +query.variables(*variables) +#query.vertical_level(100000) +#query.add_query_parameter(height_above_ground=1) +query.accept('netcdf') + +data = best_hrrr_nc_sub.get_data(query) +data + + +# In[43]: + +time = data.variables['time'] +time_vals = num2date(time[:].squeeze(), time.units) + + +# In[44]: + +cloud_vars = variables + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + +ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) +ax.set_xlabel('Forecast Time (UTC)') +ax.legend(bbox_to_anchor=(1.4,1.1)) + + +# ### NOAA +# +# NOAA lists a bunch of different HRRR runs at +# +# http://rapidrefresh.noaa.gov/HRRR/ +# +# The HRRRX run at NOAA has a much improved irradiance forecast, but I'm not sure if that's what the Unidata thredds server pulls in. +# +# Unidata's "Best" link is for an archive instead of the most recent forecasts. So, we'll just look at one forecast. + +# In[45]: + +best_hrrr_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/HRRR/CONUS_3km/surface/HRRR_CONUS_3km_surface_201507291400.grib2') + + +# In[46]: + +variables = ['Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_UnknownLevelType-214', + 'Medium_cloud_cover_UnknownLevelType-224', + 'High_cloud_cover_UnknownLevelType-234', + 'Temperature_surface', + 'Downward_short-wave_radiation_flux_surface'] + +query = best_hrrr_nc_sub.query() +query.lonlat_point(-110.9, 32.2).time_range(start, end) +query.variables(*variables) +query.accept('netcdf') + +data = best_hrrr_nc_sub.get_data(query) +data + + +# ESRL HRRR has low, mid, high, and total cloud cover variables. +# +# It also has a GHI field. + +# In[47]: + +time = data.variables['time'] +time_vals = num2date(time[:].squeeze(), time.units) # this isn't working right for the hrrr + + +# In[48]: + +ghi = data['Downward_short-wave_radiation_flux_surface'] + + +# In[49]: + +cloud_vars = variables[:4] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + +ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) +ax.set_xlabel('Forecast Time (UTC)') +ax.legend(bbox_to_anchor=(1.4,1.1)) + + +# In[50]: + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, ghi[:].squeeze(), linewidth=2) +ax.set_ylabel('GHI' + ' (%s)' % ghi.units) +ax.set_xlabel('Forecast Time (UTC)') + + +# The times are messed up, but I'm sure they can be fixed with a little effort. + +# ## NDFD + +# In[51]: + +best_ndfd_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/NDFD/NWS/CONUS/CONDUIT/Best') + + +# In[52]: + +ndfd_vars = ['Total_cloud_cover_surface', + 'Temperature_surface', + 'Wind_speed_surface'] + +query = best_ndfd_nc_sub.query() +query.lonlat_point(-110.9, 32.2).time_range(start, end) +query.variables(*ndfd_vars) +#query.vertical_level(100000) +#query.add_query_parameter(height_above_ground=1) +query.accept('netcdf') + +data = best_ndfd_nc_sub.get_data(query) +data + + +# In[53]: + +time = data.variables['time'] +time_vals = num2date(time[:].squeeze(), time.units) + + +# In[54]: + +total_cloud_cover = data.variables['Total_cloud_cover_surface'] +temp = data.variables['Temperature_surface'] +wind = data.variables['Wind_speed_surface'] + + +# In[55]: + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) +ax.set_ylabel('Total cloud cover' + ' (%s)' % total_cloud_cover.units) +ax.set_xlabel('Forecast Time (UTC)') +plt.ylim(0,100) + + +# In[56]: + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) +ax.set_ylabel('temp {}'.format(temp.units)) +ax.set_xlabel('Forecast Time (UTC)') + + +# In[57]: + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, wind[:].squeeze(), 'r', linewidth=2) +ax.set_ylabel('wind {}'.format(wind.units)) +ax.set_xlabel('Forecast Time (UTC)') + + +# In[ ]: + + + diff --git a/pvlib/test_ncss.py b/pvlib/test_ncss.py new file mode 100644 index 0000000000..8bf48fb34d --- /dev/null +++ b/pvlib/test_ncss.py @@ -0,0 +1,167 @@ +from datetime import datetime +from contextlib import contextmanager + +import numpy as np + +import siphon.testing +from siphon.ncss import NCSS, NCSSQuery, ResponseRegistry + +from nose.tools import eq_ + +recorder = siphon.testing.get_recorder(__file__) + + +class TestNCSSQuery(object): + def test_proj_box(self): + nq = NCSSQuery().lonlat_point(1, 2).projection_box(-1, -2, -3, -4) + query = str(nq) + eq_(query.count('='), 4) + assert 'minx=-1' in query + assert 'maxx=-3' in query + assert 'miny=-2' in query + assert 'maxy=-4' in query + + def test_vertical_level(self): + nq = NCSSQuery().vertical_level(50000) + eq_(str(nq), 'vertCoord=50000') + + def test_add_latlon(self): + nq = NCSSQuery().add_lonlat(True) + eq_(str(nq), 'addLatLon=True') + + def test_strides(self): + nq = NCSSQuery().strides(5, 10) + query = str(nq) + assert 'timeStride=5' in query + assert 'horizStride=10' in query + + def test_accept(self): + nq = NCSSQuery().accept('csv') + eq_(str(nq), 'accept=csv') + + +# This allows us to override the response handler registry, so we can test that we +# properly handle the case where we don't handle it +@contextmanager +def response_context(): + old_reg = siphon.ncss.response_handlers + siphon.ncss.response_handlers = ResponseRegistry() + yield siphon.ncss.response_handlers + siphon.ncss.response_handlers = old_reg + + +# For testing unit handling +def tuple_unit_handler(data, units=None): + return np.array(data).tolist(), units + + +class TestNCSS(object): + server = 'http://thredds.ucar.edu/thredds/ncss/' + urlPath = 'grib/NCEP/GFS/Global_0p5deg/GFS_Global_0p5deg_20150612_1200.grib2' + + @recorder.use_cassette('ncss_test_metadata') + def setup(self): + dt = datetime(2015, 6, 12, 15, 0, 0) + self.ncss = NCSS(self.server + self.urlPath) + self.nq = self.ncss.query().lonlat_point(-105, 40).time(dt) + self.nq.variables('Temperature_isobaric', 'Relative_humidity_isobaric') + + def test_good_query(self): + assert self.ncss.validate_query(self.nq) + + def test_bad_query(self): + self.nq.variables('foo') + assert not self.ncss.validate_query(self.nq) + + def test_bad_query_no_vars(self): + self.nq.var.clear() + assert not self.ncss.validate_query(self.nq) + + @recorder.use_cassette('ncss_gfs_xml_point') + def test_xml_point(self): + self.nq.accept('xml') + xml_data = self.ncss.get_data(self.nq) + + assert 'Temperature_isobaric' in xml_data + assert 'Relative_humidity_isobaric' in xml_data + eq_(xml_data['lat'][0], 40) + eq_(xml_data['lon'][0], -105) + + @recorder.use_cassette('ncss_gfs_csv_point') + def test_csv_point(self): + self.nq.accept('csv') + csv_data = self.ncss.get_data(self.nq) + + assert 'Temperature_isobaric' in csv_data + assert 'Relative_humidity_isobaric' in csv_data + eq_(csv_data['lat'][0], 40) + eq_(csv_data['lon'][0], -105) + + @recorder.use_cassette('ncss_gfs_csv_point') + def test_unit_handler_csv(self): + self.nq.accept('csv') + self.ncss.unit_handler = tuple_unit_handler + csv_data = self.ncss.get_data(self.nq) + + temp = csv_data['Temperature_isobaric'] + eq_(len(temp), 2) + eq_(temp[1], 'K') + + relh = csv_data['Relative_humidity_isobaric'] + eq_(len(relh), 2) + eq_(relh[1], '%') + + @recorder.use_cassette('ncss_gfs_xml_point') + def test_unit_handler_xml(self): + self.nq.accept('xml') + self.ncss.unit_handler = tuple_unit_handler + xml_data = self.ncss.get_data(self.nq) + + temp = xml_data['Temperature_isobaric'] + eq_(len(temp), 2) + eq_(temp[1], 'K') + + relh = xml_data['Relative_humidity_isobaric'] + eq_(len(relh), 2) + eq_(relh[1], '%') + + @recorder.use_cassette('ncss_gfs_netcdf_point') + def test_netcdf_point(self): + self.nq.accept('netcdf') + nc = self.ncss.get_data(self.nq) + + assert 'Temperature_isobaric' in nc.variables + assert 'Relative_humidity_isobaric' in nc.variables + eq_(nc.variables['latitude'][0], 40) + eq_(nc.variables['longitude'][0], -105) + + @recorder.use_cassette('ncss_gfs_netcdf4_point') + def test_netcdf4_point(self): + self.nq.accept('netcdf4') + nc = self.ncss.get_data(self.nq) + + assert 'Temperature_isobaric' in nc.variables + assert 'Relative_humidity_isobaric' in nc.variables + eq_(nc.variables['latitude'][0], 40) + eq_(nc.variables['longitude'][0], -105) + + @recorder.use_cassette('ncss_gfs_vertical_level') + def test_vertical_level(self): + self.nq.accept('csv').vertical_level(50000) + csv_data = self.ncss.get_data(self.nq) + + eq_(str(csv_data['Temperature_isobaric'])[:6], '263.39') + + @recorder.use_cassette('ncss_gfs_csv_point') + def test_raw_csv(self): + self.nq.accept('csv') + csv_data = self.ncss.get_data_raw(self.nq) + + assert csv_data.startswith(b'date,lat') + + @recorder.use_cassette('ncss_gfs_csv_point') + def test_unknown_mime(self): + self.nq.accept('csv') + with response_context(): + csv_data = self.ncss.get_data(self.nq) + assert csv_data.startswith(b'date,lat') From 31df642b8d706d83b2e06643cddd8095b456521b Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Tue, 13 Oct 2015 13:57:26 -0700 Subject: [PATCH 04/88] Renamed files and removed errant file --- pvlib/{pvlibfm.py => forecast.py} | 0 pvlib/{fm_testing.py => forecast_testing.py} | 0 pvlib/test_ncss.py | 167 ------------------- 3 files changed, 167 deletions(-) rename pvlib/{pvlibfm.py => forecast.py} (100%) rename pvlib/{fm_testing.py => forecast_testing.py} (100%) delete mode 100644 pvlib/test_ncss.py diff --git a/pvlib/pvlibfm.py b/pvlib/forecast.py similarity index 100% rename from pvlib/pvlibfm.py rename to pvlib/forecast.py diff --git a/pvlib/fm_testing.py b/pvlib/forecast_testing.py similarity index 100% rename from pvlib/fm_testing.py rename to pvlib/forecast_testing.py diff --git a/pvlib/test_ncss.py b/pvlib/test_ncss.py deleted file mode 100644 index 8bf48fb34d..0000000000 --- a/pvlib/test_ncss.py +++ /dev/null @@ -1,167 +0,0 @@ -from datetime import datetime -from contextlib import contextmanager - -import numpy as np - -import siphon.testing -from siphon.ncss import NCSS, NCSSQuery, ResponseRegistry - -from nose.tools import eq_ - -recorder = siphon.testing.get_recorder(__file__) - - -class TestNCSSQuery(object): - def test_proj_box(self): - nq = NCSSQuery().lonlat_point(1, 2).projection_box(-1, -2, -3, -4) - query = str(nq) - eq_(query.count('='), 4) - assert 'minx=-1' in query - assert 'maxx=-3' in query - assert 'miny=-2' in query - assert 'maxy=-4' in query - - def test_vertical_level(self): - nq = NCSSQuery().vertical_level(50000) - eq_(str(nq), 'vertCoord=50000') - - def test_add_latlon(self): - nq = NCSSQuery().add_lonlat(True) - eq_(str(nq), 'addLatLon=True') - - def test_strides(self): - nq = NCSSQuery().strides(5, 10) - query = str(nq) - assert 'timeStride=5' in query - assert 'horizStride=10' in query - - def test_accept(self): - nq = NCSSQuery().accept('csv') - eq_(str(nq), 'accept=csv') - - -# This allows us to override the response handler registry, so we can test that we -# properly handle the case where we don't handle it -@contextmanager -def response_context(): - old_reg = siphon.ncss.response_handlers - siphon.ncss.response_handlers = ResponseRegistry() - yield siphon.ncss.response_handlers - siphon.ncss.response_handlers = old_reg - - -# For testing unit handling -def tuple_unit_handler(data, units=None): - return np.array(data).tolist(), units - - -class TestNCSS(object): - server = 'http://thredds.ucar.edu/thredds/ncss/' - urlPath = 'grib/NCEP/GFS/Global_0p5deg/GFS_Global_0p5deg_20150612_1200.grib2' - - @recorder.use_cassette('ncss_test_metadata') - def setup(self): - dt = datetime(2015, 6, 12, 15, 0, 0) - self.ncss = NCSS(self.server + self.urlPath) - self.nq = self.ncss.query().lonlat_point(-105, 40).time(dt) - self.nq.variables('Temperature_isobaric', 'Relative_humidity_isobaric') - - def test_good_query(self): - assert self.ncss.validate_query(self.nq) - - def test_bad_query(self): - self.nq.variables('foo') - assert not self.ncss.validate_query(self.nq) - - def test_bad_query_no_vars(self): - self.nq.var.clear() - assert not self.ncss.validate_query(self.nq) - - @recorder.use_cassette('ncss_gfs_xml_point') - def test_xml_point(self): - self.nq.accept('xml') - xml_data = self.ncss.get_data(self.nq) - - assert 'Temperature_isobaric' in xml_data - assert 'Relative_humidity_isobaric' in xml_data - eq_(xml_data['lat'][0], 40) - eq_(xml_data['lon'][0], -105) - - @recorder.use_cassette('ncss_gfs_csv_point') - def test_csv_point(self): - self.nq.accept('csv') - csv_data = self.ncss.get_data(self.nq) - - assert 'Temperature_isobaric' in csv_data - assert 'Relative_humidity_isobaric' in csv_data - eq_(csv_data['lat'][0], 40) - eq_(csv_data['lon'][0], -105) - - @recorder.use_cassette('ncss_gfs_csv_point') - def test_unit_handler_csv(self): - self.nq.accept('csv') - self.ncss.unit_handler = tuple_unit_handler - csv_data = self.ncss.get_data(self.nq) - - temp = csv_data['Temperature_isobaric'] - eq_(len(temp), 2) - eq_(temp[1], 'K') - - relh = csv_data['Relative_humidity_isobaric'] - eq_(len(relh), 2) - eq_(relh[1], '%') - - @recorder.use_cassette('ncss_gfs_xml_point') - def test_unit_handler_xml(self): - self.nq.accept('xml') - self.ncss.unit_handler = tuple_unit_handler - xml_data = self.ncss.get_data(self.nq) - - temp = xml_data['Temperature_isobaric'] - eq_(len(temp), 2) - eq_(temp[1], 'K') - - relh = xml_data['Relative_humidity_isobaric'] - eq_(len(relh), 2) - eq_(relh[1], '%') - - @recorder.use_cassette('ncss_gfs_netcdf_point') - def test_netcdf_point(self): - self.nq.accept('netcdf') - nc = self.ncss.get_data(self.nq) - - assert 'Temperature_isobaric' in nc.variables - assert 'Relative_humidity_isobaric' in nc.variables - eq_(nc.variables['latitude'][0], 40) - eq_(nc.variables['longitude'][0], -105) - - @recorder.use_cassette('ncss_gfs_netcdf4_point') - def test_netcdf4_point(self): - self.nq.accept('netcdf4') - nc = self.ncss.get_data(self.nq) - - assert 'Temperature_isobaric' in nc.variables - assert 'Relative_humidity_isobaric' in nc.variables - eq_(nc.variables['latitude'][0], 40) - eq_(nc.variables['longitude'][0], -105) - - @recorder.use_cassette('ncss_gfs_vertical_level') - def test_vertical_level(self): - self.nq.accept('csv').vertical_level(50000) - csv_data = self.ncss.get_data(self.nq) - - eq_(str(csv_data['Temperature_isobaric'])[:6], '263.39') - - @recorder.use_cassette('ncss_gfs_csv_point') - def test_raw_csv(self): - self.nq.accept('csv') - csv_data = self.ncss.get_data_raw(self.nq) - - assert csv_data.startswith(b'date,lat') - - @recorder.use_cassette('ncss_gfs_csv_point') - def test_unknown_mime(self): - self.nq.accept('csv') - with response_context(): - csv_data = self.ncss.get_data(self.nq) - assert csv_data.startswith(b'date,lat') From 4d9f1761ef6e0d02691c5d06326f223746884f22 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Tue, 13 Oct 2015 16:37:10 -0700 Subject: [PATCH 05/88] Subclassed forecast models --- pvlib/forecast.py | 371 +++++++++++++++++++++++++++++++------- pvlib/forecast_testing.py | 146 ++++----------- 2 files changed, 333 insertions(+), 184 deletions(-) diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 6f92dbe914..c5e7999a27 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -5,8 +5,9 @@ # Imports for weather data. import netCDF4 from netCDF4 import num2date +import pandas as pd -class PvlibFM(object): +class ForecastModel:#(object): r""" An object for holding forecast model information for use within the pvlib library. @@ -35,114 +36,344 @@ class PvlibFM(object): """ - def __init__(self,model_type='Forecast Model Data'): - self.model_type = model_type + def __init__(self,model_type,model_name,variables): + self.access_url_key = 'NetcdfSubset' self.catalog_url = 'http://thredds.ucar.edu/thredds/catalog.xml' self.base_tds_url = self.catalog_url.split('/thredds/')[0] - self.access_url_key = 'NetcdfSubset' - self.format = 'netcdf' - self.catalog = TDSCatalog('http://thredds.ucar.edu/thredds/catalog.xml') - self.set_fm_models() - - def set_fm_models(self): + self.data_format = 'netcdf' + self.model_name = model_name + self.model_type = model_type + self.variables = variables + self.vert_level = 100000 + self.columns = [] + + self.catalog = TDSCatalog(self.catalog_url) self.fm_models = TDSCatalog(self.catalog.catalog_refs[self.model_type].href) - - def set_dataset(self,extent='best'): + self.fm_models_list = sorted(list(self.fm_models.catalog_refs.keys())) + self.model = TDSCatalog(self.fm_models.catalog_refs[self.model_name].href) + self.datasets_list = list(self.model.datasets.keys()) + self.set_dataset() + + @property + def columns(self): + return self._columns + @columns.setter + def columns(self, value): + self._columns = value + + @property + def model(self): + return self._model + @model.setter + def model(self, value): + self._model = value + + @property + def model_type(self): + return self._model_type + @model_type.setter + def model_type(self, value): + self._model_type = value + + @property + def catalog_url(self): + return self._catalog_url + @catalog_url.setter + def catalog_url(self, value): + self._catalog_url = value + + @property + def base_tds_url(self): + return self._base_tds_url + @base_tds_url.setter + def base_tds_url(self, value): + self._base_tds_url = value + + @property + def data_format(self): + return self._data_format + @data_format.setter + def data_format(self, value): + self._data_format = value + + @property + def access_url_key(self): + return self._access_url_key + @access_url_key.setter + def access_url_key(self, value): + self._access_url_key = value + + @property + def vert_level(self): + return self._vert_level + @vert_level.setter + def vert_level(self, value): + self._vert_level = value + + @property + def variables(self): + return self._variables + @variables.setter + def variables(self, value): + self._variables = value + + @property + def timespan(self): + return self._timespan + @timespan.setter + def timespan(self, value): + self._timespan = value + + @property + def latlon(self): + return self._latlon + @latlon.setter + def latlon(self, value): + self._latlon = value + + @property + def time(self): + return self._time + @time.setter + def time(self, value): + self._time = value + + @property + def fm_models(self): + return self._fm_models + @fm_models.setter + def fm_models(self, value): + self._fm_models = value + + @property + def fm_models_list(self): + return self._fm_models_list + @fm_models_list.setter + def fm_models_list(self, value): + self._fm_models_list = value + + @property + def datasets_list(self): + return self._datasets_list + @datasets_list.setter + def datasets_list(self, value): + self._datasets_list = value + + @property + def data(self): + return self._data + @data.setter + def data(self, value): + self._data = value + + @property + def query(self): + return self._query + @query.setter + def query(self, value): + self._query = value + + @property + def ncss(self): + return self._ncss + @ncss.setter + def ncss(self, value): + self._ncss = value + + @property + def model_name(self): + return self._model_name + @model_name.setter + def model_name(self, value): + self._model_name = value + + @property + def var_units(self): + return self._var_units + @var_units.setter + def var_units(self, value): + self._var_units = value + + @property + def var_stdnames(self): + return self._var_stdnames + @var_stdnames.setter + def var_stdnames(self, value): + self._var_stdnames = value + + + + def set_dataset(self,set_type='best'): r""" - as: best,latest, or full + set_type: string + as: "best","latest", or "full" """ keys = list(self.model.datasets.keys()) labels = [item.split()[0].lower() for item in keys] - if extent == 'best': + if set_type == 'best': self.dataset = self.model.datasets[keys[labels.index('best')]] - elif extent == 'latest': + elif set_type == 'latest': self.dataset = self.model.datasets[keys[labels.index('latest')]] - elif extent == 'full': + elif set_type == 'full': self.dataset = self.model.datasets[keys[labels.index('full')]] - self.set_ncss() - - def set_ncss(self): self.ncss = NCSS(self.dataset.access_urls[self.access_url_key]) - self.query = self.ncss.query() + self.query = self.ncss.query() - def set_model(self,model_name): - self.model = TDSCatalog(self.fm_models.catalog_refs[model_name].href) - - def set_latlon(self,extent): + def set_query_latlon(self): r""" as: point or box """ - if len(extent)>2: - self.query.lonlat_box(extent[0],extent[1],extent[2],extent[3]) + if len(self.latlon)>2: + self.query.lonlat_box(self.latlon[0],self.latlon[1],self.latlon[2],self.latlon[3]) else: - self.query.lonlat_point(extent[0],extent[1]) + self.query.lonlat_point(self.latlon[0],self.latlon[1]) - def set_time(self,extent): + def set_query_time(self): r""" as: single or range """ - if len(extent)>1: - self.query.time_range(extent[0],extent[1]) + if len(self.timespan)>1: + self.query.time_range(self.timespan[0],self.timespan[1]) else: - self.query.time_range(extent) - - def set_vertical_level(self,val): - self.query.vertical_level(val) - - def set_query_vars(self,variables): - self.query.variables(*variables) - - def get_query_data(self): - self.submit_query() - self.data = self.ncss.get_data(self.query) - return self.data - - def get_fm_models(self): - return sorted(list(self.fm_models.catalog_refs.keys())) - - def get_model_datasets(self): - return list(self.model.datasets.keys()) + self.query.time_range(self.timespan) + + def get_query_data(self,latlon,timespan,vert_level=None,variables=None): + if vert_level != None: + self.vert_level = vert_level + if variables != None: + self.variables = variables + + self.latlon = latlon + self.set_query_latlon() + self.timespan = timespan + self.set_query_time() + self.query.vertical_level(self.vert_level) + self.query.variables(*self.variables) + + self.query.accept(self.data_format) + netcdf_data = self.ncss.get_data(self.query) + self.set_time(netcdf_data.variables['time']) + self.data = self.netcdf2pandas(netcdf_data) + self.set_variable_units(netcdf_data) + self.set_variable_stdnames(netcdf_data) + netcdf_data.close() + return self.data + + def netcdf2pandas(self,data): + data_dict = {} + for var in self.variables: + data_dict[var] = data[var][:].squeeze() + + dataframe = pd.DataFrame(data_dict) + return dataframe + + def set_time(self,times): + self.time = num2date(times[:].squeeze(), times.units) + + def set_variable_units(self,data): + self.var_units = {} + for var in self.variables: + self.var_units[var] = data[var].units + + def set_variable_stdnames(self,data): + self.var_stdnames = {} + for var in self.variables: + try: + self.var_stdnames[var] = data[var].standard_name + except AttributeError: + self.var_stdnames[var] = var + +class GFS(ForecastModel): + def __init__(self): + model_type = 'Forecast Model Data' + model = 'GFS Half Degree Forecast' + variables = ['Temperature_isobaric', + 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_convective_cloud', + 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average'] + super().__init__(model_type,model,variables) + + ## detailed model description and info ############ + @property + def description(self): + return self._description + @description.setter + def description(self, value): + self._description = value - def get_timespan(self): - pass + def get_ghi(self): + """ + calculate or grab ghi data - def get_latlon(self): + """ pass - def submit_query(self): - self.query.accept(self.format) - - ### data variables ############################################## - - def get_cloud_cover(self): - return self.data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] - def get_time(self): - time = self.data.variables['time'] - return num2date(time[:].squeeze(), time.units) +class NAM(ForecastModel): + def __init__(self): + model_type = 'Forecast Model Data' + model = 'NAM CONUS 12km from CONDUIT' + variables = ['Temperature_isobaric', + 'Downward_Short-Wave_Radiation_Flux_surface', + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', + 'Temperature_surface', + 'High_cloud_cover_high_cloud', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'Total_cloud_cover_entire_atmosphere_single_layer'] + super().__init__(model_type,model,variables) + + ## detailed model description and info ############ + @property + def description(self): + return self._description + @description.setter + def description(self, value): + self._description = value def get_ghi(self): - return self.data['Downward_short-wave_radiation_flux_surface'] + """ + calculate or grab ghi data - def get_wind(self): + """ pass - def get_temp(self): - return self.data['Temperature_isobaric'] - def get_model_vars(self): - return self.ncss.variables +class NDFD(ForecastModel): + def __init__(self): + model_type = 'Forecast Products and Analyses' + model = 'National Weather Service CONUS Forecast Grids (CONDUIT)' + variables = ['Total_cloud_cover_surface', + 'Temperature_surface', + 'Wind_speed_surface'] + super().__init__(model_type,model,variables) - def get_variables(self): - return self.ncss.variables + ## detailed model description and info ############ + @property + def description(self): + return self._description + @description.setter + def description(self, value): + self._description = value - def close(self): - self.data.close() + def get_ghi(self): + """ + calculate or grab ghi data + """ + pass +class Variable: + def __init__(self): + self.value = None + self.name = None + self.units = None diff --git a/pvlib/forecast_testing.py b/pvlib/forecast_testing.py index bbbe7ec6b4..1513e2d8ef 100644 --- a/pvlib/forecast_testing.py +++ b/pvlib/forecast_testing.py @@ -37,134 +37,70 @@ from siphon.catalog import TDSCatalog from siphon.ncss import NCSS -from pvlibfm import PvlibFM +from forecast import * def testGFS(start,end): - model_list = ['GFS Half Degree Forecast', - 'NAM CONUS 12km from CONDUIT'] + fm = GFS() + data = fm.get_query_data([-110.9,32.2],[start,end]) - fm = PvlibFM(model_type='Forecast Model Data') - # fm.get_fm_models() - fm.set_model(model_list[0]) - fm.set_dataset() - # print(fm.get_model_datasets()) - # print(fm.get_model_vars()) + time_vals = fm.time - fm.set_latlon([-110.9,32.2]) - fm.set_time([start,end]) - fm.set_vertical_level(100000) - fm.set_query_vars(['Temperature_isobaric']) - - data = fm.get_query_data() - - temp = fm.get_temp() - time_vals = fm.get_time() + var_name = fm.variables[0] fig, ax = plt.subplots(1, 1, figsize=(9, 8)) - ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) - ax.set_ylabel(temp.standard_name + ' (%s)' % temp.units) + ax.plot(time_vals, data[var_name], 'r', linewidth=2) + ax.set_ylabel(fm.var_stdnames[var_name] + ' (%s)' % fm.var_units[var_name]) ax.set_xlabel('Forecast Time (UTC)') - fm.close() - - plt.show() - - fm = PvlibFM(model_type='Forecast Model Data') - fm.set_model(model_list[0]) - fm.set_dataset() - - fm.set_latlon([-110.9,32.2]) - fm.set_time([start,end]) - fm.set_vertical_level(100000) - - cloud_vars = ['Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud', - 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average'] + var_name = fm.variables[3] - fm.set_query_vars(cloud_vars) - - data = fm.get_query_data() - - time_vals = fm.get_time() - - total_cloud_cover = fm.get_cloud_cover() + total_cloud_cover = fm.data[var_name] fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + for varname in fm.variables[1:]: + ax.plot(time_vals, fm.data[varname], linewidth=2, label=varname) - ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) + ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name]) ax.set_xlabel('Forecast Time (UTC)') ax.legend(bbox_to_anchor=(1.4,1.1)) ax.set_title('GFS 0.5 deg') fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) - ax.set_ylabel('Total cloud cover' + ' (%s)' % total_cloud_cover.units) + ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2) + ax.set_ylabel('Total cloud cover' + ' (%s)' % fm.var_units[var_name]) ax.set_xlabel('Forecast Time (UTC)') ax.set_title('GFS 0.5 deg') - fm.close() - plt.show() def testNAM(start,end): - model_list = ['GFS Half Degree Forecast', - 'NAM CONUS 12km from CONDUIT'] + fm = GFS() + data = fm.get_query_data([-110.9,32.2],[start,end]) - fm = PvlibFM(model_type='Forecast Model Data') - # fm.get_fm_models() - fm.set_model(model_list[1]) - fm.set_dataset() - # print(fm.get_model_datasets()) - # print(fm.get_model_vars()) + time_vals = fm.time - fm.set_latlon([-110.9,32.2]) - fm.set_time([start,end]) - - variables = ['Downward_Short-Wave_Radiation_Flux_surface', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', - 'Temperature_surface', - 'High_cloud_cover_high_cloud', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'Total_cloud_cover_entire_atmosphere_single_layer'] - - fm.set_query_vars(variables) - - data = fm.get_query_data() - - time_vals = fm.get_time() - - # The NAM has cloud cover and GHI data. I'm guessing that GHI is not very good. - - cloud_vars = variables[3:] + cloud_vars = fm.variables[3:] fig, ax = plt.subplots(1, 1, figsize=(10, 6)) for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + ax.plot(time_vals, fm.data[varname], linewidth=2, label=varname) ax.set_ylabel('Cloud cover (%)') ax.set_xlabel('Forecast Time (UTC)') ax.legend(bbox_to_anchor=(1.4,1.1)) ax.set_title('NAM') - ghis = variables[:2] + ghis = fm.variables[:2] fig, ax = plt.subplots(1, 1, figsize=(10, 6)) for varname in ghis: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) + ax.plot(time_vals, fm.data[varname], linewidth=2, label=varname) ax.set_ylabel('GHI W/m**2') ax.set_xlabel('Forecast Time (UTC)') ax.legend() - data.close() - plt.show() @@ -174,49 +110,31 @@ def testNDFD(start,end): # ## NDFD - model_list = ['National Weather Service CONUS Forecast Grids (CONDUIT)'] + fm = NDFD() + data = fm.get_query_data([-110.9,32.2],[start,end]) - fm = PvlibFM(model_type='Forecast Products and Analyses') - # print(fm.get_fm_models()) - fm.set_model(model_list[2]) - fm.set_dataset() - # print(fm.get_model_datasets()) - # print(fm.get_model_vars()) + time_vals = fm.time - fm.set_latlon([-110.9,32.2]) - fm.set_time([start,end]) - - ndfd_vars = ['Total_cloud_cover_surface', - 'Temperature_surface', - 'Wind_speed_surface'] - - fm.set_query_vars(ndfd_vars) - - data = fm.get_query_data() - - total_cloud_cover = data['Total_cloud_cover_surface'] - temp = data['Temperature_surface'] - wind = data['Wind_speed_surface'] - time_vals = fm.get_time() + total_cloud_cover = fm.data['Total_cloud_cover_surface'] + temp = fm.data['Temperature_surface'] + wind = fm.data['Wind_speed_surface'] fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) + ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2) ax.set_ylabel('Cloud cover (%)') ax.set_xlabel('Forecast Time (UTC)') plt.ylim(0,100) fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) - ax.set_ylabel('temp {}'.format(temp.units)) + ax.plot(time_vals, temp, 'r', linewidth=2) + ax.set_ylabel('temp {}'.format(fm.var_units['Temperature_surface'])) ax.set_xlabel('Forecast Time (UTC)') fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, wind[:].squeeze(), 'r', linewidth=2) - ax.set_ylabel('wind {}'.format(wind.units)) + ax.plot(time_vals, wind, 'r', linewidth=2) + ax.set_ylabel('wind {}'.format(fm.var_units['Wind_speed_surface'])) ax.set_xlabel('Forecast Time (UTC)') - data.close() - plt.show() From 23da3e54ea345b643023e608b45a54390ae40fe4 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Tue, 20 Oct 2015 14:34:30 -0700 Subject: [PATCH 06/88] Updated forecast module: added more forecast classes. --- pvlib/__init__.py | 2 + pvlib/forecast.py | 658 +++++++++++++++++++++++--------------- pvlib/forecast_testing.py | 98 +++++- pvlib/pvlib_siphon.py | 460 -------------------------- pvlib/solar_testing.py | 586 --------------------------------- 5 files changed, 497 insertions(+), 1307 deletions(-) delete mode 100644 pvlib/pvlib_siphon.py delete mode 100644 pvlib/solar_testing.py diff --git a/pvlib/__init__.py b/pvlib/__init__.py index 20ed1d4d26..483bab7b09 100644 --- a/pvlib/__init__.py +++ b/pvlib/__init__.py @@ -4,6 +4,7 @@ from pvlib import tools from pvlib import atmosphere from pvlib import clearsky +from pvlib import forecast from pvlib import irradiance from pvlib import location from pvlib import solarposition @@ -11,3 +12,4 @@ from pvlib import tracking from pvlib import pvsystem from pvlib import spa + diff --git a/pvlib/forecast.py b/pvlib/forecast.py index c5e7999a27..c442bc3932 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -1,52 +1,108 @@ +""" +The 'forecast' module contains class definitions for +retreiving forecasted data from UNIDATA Thredd servers. +""" + +from netCDF4 import num2date +import pandas as pd +import numpy as np from siphon.catalog import TDSCatalog from siphon.ncss import NCSS -# Imports for weather data. -import netCDF4 -from netCDF4 import num2date -import pandas as pd -class ForecastModel:#(object): - r""" +class ForecastModel(object): + ''' An object for holding forecast model information for use within the pvlib library. Simplifies use of siphon library on a THREDDS server. + Parameters + ---------- + labels: dictionary + Dictionary where the common variable name references the model + specific variable name. + model_type: string + UNIDATA category in which the model is located. + model_name: string + Name of the UNIDATA forecast model. + Attributes ---------- - catalog_url : string - The url path of the catalog to parse. + access_url: string + URL specifying the dataset from data will be retrieved. + access_url_key: string + Key spcificying the type of data to be returned with the query. base_tds_url : string The top level server address - datasets : Dataset - A dictionary of Dataset object, whose keys are the name of the - dataset's name - timespan: datetime - A datetime object, that defines the time reference info for the - dataset. + catalog_url : string + The url path of the catalog to parse. + data: pd.DataFrame + Data returned from the query. + data_labels: dictionary + Dictionary that translates model specific variables to + common named variables. + dataformat: string + Format of the forecast data being requested from UNIDATA. + dataset: Dataset + Object containing information used to access forecast data. + datasets_list: list + List of all available datasets. + fm_models: Dataset + Object containing all available foreast models. + fm_models_list: list + List of all available forecast models from UNIDATA. latlon: list The extent of the areal coverage of the dataset. + ncss: NCSS object + NCSS model_name: string + Name of the UNIDATA forecast model. model: Dataset A dictionary of Dataset object, whose keys are the name of the dataset's name. model_url: string The url path of the dataset to parse. - - """ - - def __init__(self,model_type,model_name,variables): - self.access_url_key = 'NetcdfSubset' - self.catalog_url = 'http://thredds.ucar.edu/thredds/catalog.xml' - self.base_tds_url = self.catalog_url.split('/thredds/')[0] - self.data_format = 'netcdf' + query: NCSS query object + NCSS object used to complete the forecast data retrival. + time: datetime + Time range specified for the NCSS query. + timespan: datetime + A datetime object, that defines the time range for the data. + var_stdnames: dictionary + Dictionary containing the standard names of the variables in the + query, where the keys are the common names. + var_units: dictionary + Dictionary containing the unites of the variables in the query, + where the keys are the common names. + variables: list + Model specific variable names. + vert_level: float or integer + Vertical altitude for query data. + ''' + + access_url_key = 'NetcdfSubset' + catalog_url = 'http://thredds.ucar.edu/thredds/catalog.xml' + base_tds_url = catalog_url.split('/thredds/')[0] + data_format = 'netcdf' + vert_level = 100000 + columns = np.array(['temperature', + 'temperature_iso', + 'wind_speed', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'boundary_clouds', + 'convect_clouds', + 'downward_shortwave_radflux', + 'downward_shortwave_radflux_avg']) + + def __init__(self,model_type,model_name,labels): self.model_name = model_name self.model_type = model_type - self.variables = variables - self.vert_level = 100000 - self.columns = [] - + self.variables = labels.keys() + self.data_labels = labels self.catalog = TDSCatalog(self.catalog_url) self.fm_models = TDSCatalog(self.catalog.catalog_refs[self.model_type].href) self.fm_models_list = sorted(list(self.fm_models.catalog_refs.keys())) @@ -54,157 +110,13 @@ def __init__(self,model_type,model_name,variables): self.datasets_list = list(self.model.datasets.keys()) self.set_dataset() - @property - def columns(self): - return self._columns - @columns.setter - def columns(self, value): - self._columns = value - - @property - def model(self): - return self._model - @model.setter - def model(self, value): - self._model = value - - @property - def model_type(self): - return self._model_type - @model_type.setter - def model_type(self, value): - self._model_type = value - - @property - def catalog_url(self): - return self._catalog_url - @catalog_url.setter - def catalog_url(self, value): - self._catalog_url = value - - @property - def base_tds_url(self): - return self._base_tds_url - @base_tds_url.setter - def base_tds_url(self, value): - self._base_tds_url = value - - @property - def data_format(self): - return self._data_format - @data_format.setter - def data_format(self, value): - self._data_format = value - - @property - def access_url_key(self): - return self._access_url_key - @access_url_key.setter - def access_url_key(self, value): - self._access_url_key = value - - @property - def vert_level(self): - return self._vert_level - @vert_level.setter - def vert_level(self, value): - self._vert_level = value - - @property - def variables(self): - return self._variables - @variables.setter - def variables(self, value): - self._variables = value - - @property - def timespan(self): - return self._timespan - @timespan.setter - def timespan(self, value): - self._timespan = value - - @property - def latlon(self): - return self._latlon - @latlon.setter - def latlon(self, value): - self._latlon = value - - @property - def time(self): - return self._time - @time.setter - def time(self, value): - self._time = value - - @property - def fm_models(self): - return self._fm_models - @fm_models.setter - def fm_models(self, value): - self._fm_models = value - - @property - def fm_models_list(self): - return self._fm_models_list - @fm_models_list.setter - def fm_models_list(self, value): - self._fm_models_list = value - - @property - def datasets_list(self): - return self._datasets_list - @datasets_list.setter - def datasets_list(self, value): - self._datasets_list = value - - @property - def data(self): - return self._data - @data.setter - def data(self, value): - self._data = value - - @property - def query(self): - return self._query - @query.setter - def query(self, value): - self._query = value - - @property - def ncss(self): - return self._ncss - @ncss.setter - def ncss(self, value): - self._ncss = value - - @property - def model_name(self): - return self._model_name - @model_name.setter - def model_name(self, value): - self._model_name = value - - @property - def var_units(self): - return self._var_units - @var_units.setter - def var_units(self, value): - self._var_units = value - - @property - def var_stdnames(self): - return self._var_stdnames - @var_stdnames.setter - def var_stdnames(self, value): - self._var_stdnames = value - - - def set_dataset(self,set_type='best'): - r""" + """ + Retreives the designated dataset, creates NCSS object, and + initiates a NCSS query. + + Parameters + ---------- set_type: string as: "best","latest", or "full" @@ -218,12 +130,13 @@ def set_dataset(self,set_type='best'): elif set_type == 'full': self.dataset = self.model.datasets[keys[labels.index('full')]] - self.ncss = NCSS(self.dataset.access_urls[self.access_url_key]) + self.access_url = self.dataset.access_urls[self.access_url_key] + self.ncss = NCSS(self.access_url) self.query = self.ncss.query() def set_query_latlon(self): - r""" - as: point or box + """ + Sets the NCSS query location latitude and longitude. """ if len(self.latlon)>2: @@ -232,7 +145,9 @@ def set_query_latlon(self): self.query.lonlat_point(self.latlon[0],self.latlon[1]) def set_query_time(self): - r""" + """ + Sets the NCSS query time range. + as: single or range """ @@ -242,6 +157,26 @@ def set_query_time(self): self.query.time_range(self.timespan) def get_query_data(self,latlon,timespan,vert_level=None,variables=None): + """ + Submits a query to the UNIDATA servers using siphon NCSS and + converts the netcdf data to a pandas DataFrame. + + Parameters + ========== + + latlon: list + Latitude and longitude of query location. + timespan: datetime + Time range of interest. + vert_level: float or integer + Vertical altitude of interest. + variables: list + Variables being queried. + + Returns + ======= + pd.DataFrame + """ if vert_level != None: self.vert_level = vert_level if variables != None: @@ -264,116 +199,339 @@ def get_query_data(self,latlon,timespan,vert_level=None,variables=None): return self.data def netcdf2pandas(self,data): + """ + Transforms data from netcdf to pandas DataFrame. + + Parameters + ========== + data: netcdf + Data returned from UNIDATA NCSS query. + + Returns + ======= + pd.DataFrame + """ data_dict = {} for var in self.variables: - data_dict[var] = data[var][:].squeeze() - - dataframe = pd.DataFrame(data_dict) + data_dict[self.data_labels[var]] = pd.Series(data[var][:].squeeze()) + dataframe = pd.DataFrame(data_dict,columns=self.columns) return dataframe def set_time(self,times): + """ + Converts time data into a netcdf date format. + + Parameters + ========== + times: netcdf + Contains time information. + + Returns + ======= + netCDF4.datetime + """ self.time = num2date(times[:].squeeze(), times.units) def set_variable_units(self,data): + """ + Extracts variable unit information from netcdf data. + + Parameters + ========== + data: netcdf + Contains queried variable information. + + """ self.var_units = {} for var in self.variables: - self.var_units[var] = data[var].units + self.var_units[self.data_labels[var]] = data[var].units def set_variable_stdnames(self,data): + """ + Extracts standard names from netcdf data. + + Parameters + ========== + data: netcdf + Contains queried variable information. + + """ self.var_stdnames = {} for var in self.variables: try: - self.var_stdnames[var] = data[var].standard_name + self.var_stdnames[self.data_labels[var]] = data[var].standard_name except AttributeError: - self.var_stdnames[var] = var + self.var_stdnames[self.data_labels[var]] = var class GFS(ForecastModel): + ''' + Subclass of the ForecastModel class representing GFS forecast model. + + Model data corresponds to 0.5 degree resolution forecasts. + + Attributes + ---------- + cols: list + Common names for variables. + data_labels: dictionary + Dictionary where the common variable name references the model + specific variable name. + idx: list + Indices of the variables corresponding to their common name. + model: string + Name of the UNIDATA forecast model. + model_type: string + UNIDATA category in which the model is located. + variables: list + Names of default variables specific to the model. + + ''' def __init__(self): model_type = 'Forecast Model Data' model = 'GFS Half Degree Forecast' variables = ['Temperature_isobaric', - 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud', 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average'] - super().__init__(model_type,model,variables) - - ## detailed model description and info ############ - @property - def description(self): - return self._description - @description.setter - def description(self, value): - self._description = value - - def get_ghi(self): - """ - calculate or grab ghi data + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_convective_cloud'] + cols = super(GFS, self).columns + idx = [1,3,4,5,6,7,8] + data_labels = dict(zip(variables,cols[idx])) + super(GFS, self).__init__(model_type,model,data_labels) - """ - pass + +class GFS_HIRES(ForecastModel): + ''' + Subclass of the ForecastModel class representing GFS_HIRES forecast model. + + Model data corresponds to 0.25 degree resolution forecasts. + + Attributes + ---------- + cols: list + Common names for variables. + data_labels: dictionary + Dictionary where the common variable name references the model + specific variable name. + idx: list + Indices of the variables corresponding to their common name. + model: string + Name of the UNIDATA forecast model. + model_type: string + UNIDATA category in which the model is located. + variables: list + Names of default variables specific to the model. + + ''' + def __init__(self): + model_type = 'Forecast Model Data' + model = 'GFS Quarter Degree Forecast' + variables = ['Temperature_isobaric', + 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_convective_cloud'] + cols = super(GFS_HIRES, self).columns + idx = [1,3,4,5,6,7,8] + data_labels = dict(zip(variables,cols[idx])) + super(GFS_HIRES, self).__init__(model_type,model,data_labels) class NAM(ForecastModel): + ''' + Subclass of the ForecastModel class representing NAM forecast model. + + Model data corresponds to NAM CONUS 12km resolution forecasts + from CONDUIT. + + Attributes + ---------- + cols: list + Common names for variables. + data_labels: dictionary + Dictionary where the common variable name references the model + specific variable name. + idx: list + Indices of the variables corresponding to their common name. + model: string + Name of the UNIDATA forecast model. + model_type: string + UNIDATA category in which the model is located. + variables: list + Names of default variables specific to the model. + + ''' def __init__(self): model_type = 'Forecast Model Data' model = 'NAM CONUS 12km from CONDUIT' - variables = ['Temperature_isobaric', - 'Downward_Short-Wave_Radiation_Flux_surface', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', - 'Temperature_surface', + description = '' + variables = ['Temperature_surface', + 'Temperature_isobaric', + 'Total_cloud_cover_entire_atmosphere_single_layer', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', 'High_cloud_cover_high_cloud', + 'Downward_Short-Wave_Radiation_Flux_surface', + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'] + cols = super(NAM, self).columns + idx = [0,1,3,4,5,6,9,10] + data_labels = dict(zip(variables,cols[idx])) + super(NAM, self).__init__(model_type,model,data_labels) + + +class RAP(ForecastModel): + ''' + Subclass of the ForecastModel class representing RAP forecast model. + + Model data corresponds to Rapid Refresh CONUS 20km resolution + forecasts. + + Attributes + ---------- + cols: list + Common names for variables. + data_labels: dictionary + Dictionary where the common variable name references the model + specific variable name. + idx: list + Indices of the variables corresponding to their common name. + model: string + Name of the UNIDATA forecast model. + model_type: string + UNIDATA category in which the model is located. + variables: list + Names of default variables specific to the model. + + ''' + def __init__(self): + model_type = 'Forecast Model Data' + model = 'Rapid Refresh CONUS 20km' + description = '' + variables = ['Temperature_surface', + 'Total_cloud_cover_entire_atmosphere_single_layer', 'Low_cloud_cover_low_cloud', 'Medium_cloud_cover_middle_cloud', - 'Total_cloud_cover_entire_atmosphere_single_layer'] - super().__init__(model_type,model,variables) - - ## detailed model description and info ############ - @property - def description(self): - return self._description - @description.setter - def description(self, value): - self._description = value - - def get_ghi(self): - """ - calculate or grab ghi data + 'High_cloud_cover_high_cloud'] + cols = super(RAP, self).columns + idx = [0,3,4,5,6] + data_labels = dict(zip(variables,cols[idx])) + super(RAP, self).__init__(model_type,model,data_labels) - """ - pass +class NCEP(ForecastModel): + ''' + Subclass of the ForecastModel class representing NCEP forecast model. -class NDFD(ForecastModel): + Model data corresponds to NCEP HRRR CONUS 2.5km resolution + forecasts. + + Attributes + ---------- + cols: list + Common names for variables. + data_labels: dictionary + Dictionary where the common variable name references the model + specific variable name. + idx: list + Indices of the variables corresponding to their common name. + model: string + Name of the UNIDATA forecast model. + model_type: string + UNIDATA category in which the model is located. + variables: list + Names of default variables specific to the model. + + ''' def __init__(self): - model_type = 'Forecast Products and Analyses' - model = 'National Weather Service CONUS Forecast Grids (CONDUIT)' - variables = ['Total_cloud_cover_surface', - 'Temperature_surface', - 'Wind_speed_surface'] - super().__init__(model_type,model,variables) - - ## detailed model description and info ############ - @property - def description(self): - return self._description - @description.setter - def description(self, value): - self._description = value - - def get_ghi(self): - """ - calculate or grab ghi data + model_type = 'Forecast Model Data' + model = 'NCEP HRRR CONUS 2.5km' + description = '' + variables = ['Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud',] + cols = super(NCEP, self).columns + idx = [3,4,5,6] + data_labels = dict(zip(variables,cols[idx])) + super(NCEP, self).__init__(model_type,model,data_labels) - """ - pass +class NOAA(ForecastModel): + ''' + Subclass of the ForecastModel class representing NOAA forecast model. + + Model data corresponds to GSD HRRR CONUS 3km resolution + surface forecasts. -class Variable: + Attributes + ---------- + cols: list + Common names for variables. + data_labels: dictionary + Dictionary where the common variable name references the model + specific variable name. + idx: list + Indices of the variables corresponding to their common name. + model: string + Name of the UNIDATA forecast model. + model_type: string + UNIDATA category in which the model is located. + variables: list + Names of default variables specific to the model. + + ''' def __init__(self): - self.value = None - self.name = None - self.units = None + model_type = 'Forecast Model Data' + model = 'GSD HRRR CONUS 3km surface' + description = '' + variables = ['Temperature_surface', + 'Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_UnknownLevelType-214', + 'Medium_cloud_cover_UnknownLevelType-224', + 'High_cloud_cover_UnknownLevelType-234', + 'Downward_short-wave_radiation_flux_surface'] + cols = super(NOAA, self).columns + idx = [0,3,4,5,6,9] + data_labels = dict(zip(variables,cols[idx])) + super(NOAA, self).__init__(model_type,model,data_labels) + + +class NDFD(ForecastModel): + ''' + Subclass of the ForecastModel class representing NDFD forecast model. + + Model data corresponds to NWS CONUS CONDUIT forecasts. + Attributes + ---------- + cols: list + Common names for variables. + data_labels: dictionary + Dictionary where the common variable name references the model + specific variable name. + idx: list + Indices of the variables corresponding to their common name. + model: string + Name of the UNIDATA forecast model. + model_type: string + UNIDATA category in which the model is located. + variables: list + Names of default variables specific to the model. + + ''' + + def __init__(self): + model_type = 'Forecast Products and Analyses' + model = 'National Weather Service CONUS Forecast Grids (CONDUIT)' + description = '' + variables = ['Temperature_surface', + 'Wind_speed_surface', + 'Total_cloud_cover_surface'] + cols = super(NDFD, self).columns + idx = [0,2,3] + data_labels = dict(zip(variables,cols[idx])) + super(NDFD, self).__init__(model_type,model,data_labels) diff --git a/pvlib/forecast_testing.py b/pvlib/forecast_testing.py index 1513e2d8ef..110378384d 100644 --- a/pvlib/forecast_testing.py +++ b/pvlib/forecast_testing.py @@ -37,7 +37,9 @@ from siphon.catalog import TDSCatalog from siphon.ncss import NCSS -from forecast import * +from pvlib.forecast import * + +import pickle as pkl def testGFS(start,end): @@ -142,28 +144,100 @@ def exploreTDS(): cat = TDSCatalog('http://thredds.ucar.edu/thredds/catalog.xml') - print(list(cat.catalog_refs.keys())) - print(cat.catalog_refs['Forecast Model Data'].href) - print(cat.services) + # print(list(cat.catalog_refs.keys())) + # print(cat.catalog_refs['Forecast Model Data'].href) + # print(cat.services) cat = TDSCatalog(cat.catalog_refs['Forecast Model Data'].href) + # cat = TDSCatalog(cat.catalog_refs['Forecast Products and Analyses'].href) catList = sorted(list(cat.catalog_refs.keys())) for item in catList: print(item) # print(cat.catalog_refs['GFS Half Degree Forecast'].href) - # cat = TDSCatalog(cat.catalog_refs['GFS Half Degree Forecast'].href) - cat = TDSCatalog(cat.catalog_refs['NAM CONUS 12km from CONDUIT'].href) + cat = TDSCatalog(cat.catalog_refs['GFS Half Degree Forecast'].href) + # cat = TDSCatalog(cat.catalog_refs['NAM CONUS 12km from CONDUIT'].href) print(cat.datasets.keys()) - # print(cat.__dict__['datasets']) + print(cat.__dict__['datasets']) # print(cat.__dict__.keys()) - # print(cat.datasets['Best GFS Half Degree Forecast Time Series'].__dict__) + print(cat.datasets['Best GFS Half Degree Forecast Time Series'].__dict__) catKey = list(cat.datasets.keys())[2] print(cat.datasets[catKey].__dict__) - # catList = sorted(list(cat.catalog_refs.keys())) - # for item in catList: - # print(item) + catList = sorted(list(cat.catalog_refs.keys())) + for item in catList: + print(item) + + # best_gfs_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/NCEP/GFS/Global_0p25deg/Best') + # best_gfs_nc_sub.variables + # variables = [ + # 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', + # 'Temperature_surface', + # 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + # 'Total_cloud_cover_convective_cloud', + # 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + # 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + # 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + # 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average'] + # query = best_gfs_nc_sub.query() + # query.lonlat_point(-110.9, 32.2).time_range(start, end) + # query.variables(*variables) + # #query.vertical_level(100000) + # #query.add_query_parameter(height_above_ground=1) + # query.accept('netcdf') + # data = best_gfs_nc_sub.get_data(query) + + +def testFM(start,end): + + # gfs = GFS() + # gfshires = GFS_HIRES() + # nam = NAM() + # rap = RAP() + # ncep = NCEP() + # noaa = NOAA() + ndfd = NDFD() + + # models = [gfs,gfshires,nam,rap,ncep,noaa,ndfd] + models = [ndfd] + + varlists = [] + + for model in models: + model.get_query_data([-110.9,32.2],[start,end]) + print(model.data_labels) + + # # print(model.access_url) + # print(len(model.ncss.variables)) + # # print(model.ncss.variables) + # varlists.append(sorted(model.ncss.variables)) + + # pkl_file = open('varlists.pkl', 'wb') + # pkl.dump(varlists,pkl_file) + # pkl_file.close() + + # pkl_file = open('varlists.pkl', 'rb') + # lists = pkl.load(pkl_file) + # pkl_file.close() + + # outlines = [] + + # for alist in lists: + # outlines.append(','.join(alist)+'\n') + + # outfile = open('varlist.csv','w') + # outfile.writelines(outlines) + # outfile.close() + + # data = gfs.get_query_data([-110.9,32.2],[start,end]) + # print(data) + + + # print(gfs.model_name,nam.model_name) + + # gfs.model_name = 'test' + + # print(gfs.model_name,nam.model_name) def main(): @@ -177,5 +251,7 @@ def main(): # exploreTDS() + testFM(start,end) + if __name__=='__main__': main() \ No newline at end of file diff --git a/pvlib/pvlib_siphon.py b/pvlib/pvlib_siphon.py deleted file mode 100644 index 347292d5d4..0000000000 --- a/pvlib/pvlib_siphon.py +++ /dev/null @@ -1,460 +0,0 @@ - -# # Testing Unidata/Siphon for solar power forecasting applications - -# This notebook is meant to test the usefulness of [Unidata's Siphon project](https://github.com/Unidata/siphon) for solar forecasting applications. Siphon has the potential to make accessing subsets of model data lot easier than using the traditional NOMADS services. -# -# Sections: -# 1. [GFS](#GFS) and [GFS 0.25 deg](#GFS-0.25-deg) -# 2. [NAM](#NAM) -# 2. [RAP](#RAP) -# 2. HRRR [NCEP](#NCEP) and [ESRL](#ESRL) -# 2. [NDFD](#NDFD) -# -# Requirements: -# * All siphon requirements as described [here](http://siphon.readthedocs.org/en/latest/developerguide.html). -# * Matplotlib, Seaborn, IPython notebook. -# -# Authors: -# * Will Holmgren, University of Arizona, July 2015 - -# Standard scientific python imports - -import matplotlib as mpl -import matplotlib.pyplot as plt -import seaborn as sns -sns.set_color_codes() - -import pandas as pd -import numpy as np - -from datetime import datetime, timedelta -import os - -# Imports for weather data. -import netCDF4 -from netCDF4 import num2date - -from siphon.catalog import TDSCatalog -from siphon.ncss import NCSS - - -def testGFS(start,end): - - ## GFS - - # To get started, I'll try to follow Siphon's [timeseries example docs](http://siphon.readthedocs.org/en/latest/examples/generated/NCSS_Timeseries_Examples.html) fairly closely. - - best_gfs = TDSCatalog('http://thredds.ucar.edu/thredds/catalog/grib/NCEP/GFS/Global_0p5deg/catalog.xml?dataset=grib/NCEP/GFS/Global_0p5deg/Best') - - best_ds = list(best_gfs.datasets.values())[0] - - ncss = NCSS(best_ds.access_urls['NetcdfSubset']) #NCSSDataset - # print(ncss.variables) - - query = ncss.query() - - query.lonlat_point(-110.9, 32.2).vertical_level(100000).time_range(start, end) - query.variables('Temperature_isobaric').accept('netcdf') - - data = ncss.get_data(query) - - temp = data.variables['Temperature_isobaric'] - time = data.variables['time'] - - # print(data.filepath()) - # tmp_path = data.filepath() - - time_vals = num2date(time[:].squeeze(), time.units) - print(time_vals[::5]) - - fig, ax = plt.subplots(1, 1, figsize=(9, 8)) - ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) - ax.set_ylabel(temp.standard_name + ' (%s)' % temp.units) - ax.set_xlabel('Forecast Time (UTC)') - - data.close() - # os.remove(tmp_path) - - plt.show() - - cloud_vars = ['Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud', - 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average'] - - query = ncss.query() - query.lonlat_point(-110.9, 32.2).time_range(start, end) - query.variables(*cloud_vars) - query.accept('netcdf') - - data = ncss.get_data(query) - - total_cloud_cover = data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] - - time = data.variables['time'] - time_vals = num2date(time[:].squeeze(), time.units) - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - - ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) - ax.set_xlabel('Forecast Time (UTC)') - ax.legend(bbox_to_anchor=(1.4,1.1)) - ax.set_title('GFS 0.5 deg') - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) - ax.set_ylabel('Total cloud cover' + ' (%s)' % total_cloud_cover.units) - ax.set_xlabel('Forecast Time (UTC)') - ax.set_title('GFS 0.5 deg') - - data.close() - - # plt.show() - - ## GFS 0.25 deg - - # Now with the new, higher resolution GFS... - - best_gfs_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/NCEP/GFS/Global_0p25deg/Best') - - variables = [ - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', - 'Temperature_surface', - 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud', - 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', - ] - - query = best_gfs_nc_sub.query() - query.lonlat_point(-110.9, 32.2).time_range(start, end) - query.variables(*variables) - #query.vertical_level(100000) - #query.add_query_parameter(height_above_ground=1) - query.accept('netcdf') - - data = best_gfs_nc_sub.get_data(query) - - total_cloud_cover = data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] - total_cloud_cover_05_deg = total_cloud_cover - - time = data.variables['time'] - time_vals = num2date(time[:].squeeze(), time.units) - - cloud_vars = variables[2:] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - - ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) - ax.set_xlabel('Forecast Time (UTC)') - ax.legend(bbox_to_anchor=(1.4,1.1)) - ax.set_title('GFS 0.25 deg') - - ghis = variables[:1] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in ghis: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - ax.set_ylabel('GHI W/m**2') - ax.set_xlabel('Forecast Time (UTC)') - ax.legend() - - # I don't know anything about the GHI forecasts from the GFS, but I don't think they'll be very good for solar power forecasting. - - # Compare the 0.5 and 0.25 deg forecasts... - - total_cloud_cover_025_deg = data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, total_cloud_cover_05_deg, label='0.5 deg') - ax.plot(time_vals, total_cloud_cover_025_deg, label='0.25 deg') - ax.legend() - ax.set_ylabel('Cloud cover (%)') - ax.set_xlabel('Forecast Time (UTC)') - ax.set_title('GFS 0.5 and 0.25 deg comparison') - - data.close() - - plt.show() - - # print('Cloud cover' + ' (%s)' % total_cloud_cover.units) - -def testNAM(start,end): - # ## NAM - - # UCAR thredds has 12 km NAM from both the NOAAPORT and CONDUIT services. - - best_nam_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/NAM/CONUS_12km/conduit/Best') - - # The NAM has cloud cover and GHI data. I'm guessing that GHI is not very good. - - variables = ['Downward_Short-Wave_Radiation_Flux_surface', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', - 'Temperature_surface', - 'High_cloud_cover_high_cloud', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'Total_cloud_cover_entire_atmosphere_single_layer', - ] - - query = best_nam_nc_sub.query() - query.lonlat_point(-110.9, 32.2).time_range(start, end) - query.variables(*variables) - #query.vertical_level(100000) - #query.add_query_parameter(height_above_ground=1) - query.accept('netcdf') - - data = best_nam_nc_sub.get_data(query) - - time = data.variables['time'] - time_vals = num2date(time[:].squeeze(), time.units) - - cloud_vars = variables[3:] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - - ax.set_ylabel('Cloud cover (%)') - ax.set_xlabel('Forecast Time (UTC)') - ax.legend(bbox_to_anchor=(1.4,1.1)) - ax.set_title('NAM') - - ghis = variables[:2] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in ghis: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - ax.set_ylabel('GHI W/m**2') - ax.set_xlabel('Forecast Time (UTC)') - ax.legend() - - data.close() - - plt.show() - - -def testRAP(start,end): - # ## RAP - - # The UCAR THREDDS server does not appear to pull cloud cover or irradiance data from the 13 km NCEP RAP, so we will use the 20 km data. - - best_rr_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/RAP/CONUS_20km/Best') - - # There is low, mid, high, and total cloud cover data. - - variables = ['Total_cloud_cover_entire_atmosphere_single_layer', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud', - 'Temperature_surface'] - - query = best_rr_nc_sub.query() - query.lonlat_point(-110.9, 32.2).time_range(start, end) - query.variables(*variables) - #query.vertical_level(100000) - #query.add_query_parameter(height_above_ground=1) - query.accept('netcdf') - - data = best_rr_nc_sub.get_data(query) - - time = data.variables['time'] - time_vals = num2date(time[:].squeeze(), time.units) - - cloud_vars = variables[:-1] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - - ax.set_ylabel('Cloud cover (%)') - ax.set_xlabel('Forecast Time (UTC)') - ax.legend(bbox_to_anchor=(1.4,1.1)) - - data.close() - - plt.show() - - - -def testNCEP(start,end): - ### NCEP - - best_hrrr_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/NCEP/HRRR/CONUS_2p5km/Best') - - # Like the RAP, there is low, mid, high, and total cloud cover. NCEP HRRR 2014-2015 does have GHI in the original grib files, but it's not very good (see Holmgren et al AMS 2015). - - variables = ['Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud',] - - query = best_hrrr_nc_sub.query() - query.lonlat_point(-110.9, 32.2).time_range(start, end) - query.variables(*variables) - #query.vertical_level(100000) - #query.add_query_parameter(height_above_ground=1) - query.accept('netcdf') - - data = best_hrrr_nc_sub.get_data(query) - - time = data.variables['time'] - time_vals = num2date(time[:].squeeze(), time.units) - - cloud_vars = variables - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - - ax.set_ylabel('Cloud cover (%)') - ax.set_xlabel('Forecast Time (UTC)') - ax.legend(bbox_to_anchor=(1.4,1.1)) - - data.close() - - plt.show() - - -def testNOAA(): - - # ### NOAA - # - # NOAA lists a bunch of different HRRR runs at - # - # http://rapidrefresh.noaa.gov/HRRR/ - # - # The HRRRX run at NOAA has a much improved irradiance forecast, but I'm not sure if that's what the Unidata thredds server pulls in. - # - # Unidata's "Best" link is for an archive instead of the most recent forecasts. So, we'll just look at one forecast. - - best_hrrr_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/HRRR/CONUS_3km/surface/HRRR_CONUS_3km_surface_201510021200.grib2') - - start = datetime(2015,10,2,12) #utc - end = datetime(2015,10,2,23) #utc - - variables = ['Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_UnknownLevelType-214', - 'Medium_cloud_cover_UnknownLevelType-224', - 'High_cloud_cover_UnknownLevelType-234', - 'Temperature_surface', - 'Downward_short-wave_radiation_flux_surface'] - - query = best_hrrr_nc_sub.query() - query.lonlat_point(-110.9, 32.2).time_range(start, end) - query.variables(*variables) - query.accept('netcdf') - - data = best_hrrr_nc_sub.get_data(query) - - # ESRL HRRR has low, mid, high, and total cloud cover variables. - # - # It also has a GHI field. - - time = data.variables['time'] - time_vals = num2date(time[:].squeeze(), time.units) # this isn't working right for the hrrr - - ghi = data['Downward_short-wave_radiation_flux_surface'] - - cloud_vars = variables[:4] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - - ax.set_ylabel('Cloud cover (%)') - ax.set_xlabel('Forecast Time (UTC)') - ax.legend(bbox_to_anchor=(1.4,1.1)) - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, ghi[:].squeeze(), linewidth=2) - ax.set_ylabel('GHI' + ' (%s)' % ghi.units) - ax.set_xlabel('Forecast Time (UTC)') - - data.close() - - plt.show() - - -def testNDFD(start,end): - - # The times are messed up, but I'm sure they can be fixed with a little effort. - - # ## NDFD - - best_ndfd_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/NDFD/NWS/CONUS/CONDUIT/Best') - - ndfd_vars = ['Total_cloud_cover_surface', - 'Temperature_surface', - 'Wind_speed_surface'] - - query = best_ndfd_nc_sub.query() - query.lonlat_point(-110.9, 32.2).time_range(start, end) - query.variables(*ndfd_vars) - #query.vertical_level(100000) - #query.add_query_parameter(height_above_ground=1) - query.accept('netcdf') - - data = best_ndfd_nc_sub.get_data(query) - - time = data.variables['time'] - time_vals = num2date(time[:].squeeze(), time.units) - - total_cloud_cover = data.variables['Total_cloud_cover_surface'] - temp = data.variables['Temperature_surface'] - wind = data.variables['Wind_speed_surface'] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) - ax.set_ylabel('Cloud cover (%)') - ax.set_xlabel('Forecast Time (UTC)') - plt.ylim(0,100) - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) - ax.set_ylabel('temp {}'.format(temp.units)) - ax.set_xlabel('Forecast Time (UTC)') - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, wind[:].squeeze(), 'r', linewidth=2) - ax.set_ylabel('wind {}'.format(wind.units)) - ax.set_xlabel('Forecast Time (UTC)') - - data.close() - - plt.show() - - - -def main(): - - # Define start and end of forecast period. - - start = datetime.utcnow() - end = start + timedelta(days=7) - - # testGFS(start,end) # 5 plots - - # testNAM(start,end) # 2 plots - - # testRAP(start,end) # 1 plot - - # # ## HRRR - # # There are two different UCAR HRRR datasets: NOAA/GSD and NCEP. - - # testNCEP(start,end) # 1 plot - - # testNOAA() # 1 plot - - # testNDFD(start,netestd) # 3 plots - -if __name__=='__main__': - main() \ No newline at end of file diff --git a/pvlib/solar_testing.py b/pvlib/solar_testing.py deleted file mode 100644 index d3d5a6f90d..0000000000 --- a/pvlib/solar_testing.py +++ /dev/null @@ -1,586 +0,0 @@ - -# coding: utf-8 - -# # Testing Unidata/Siphon for solar power forecasting applications - -# This notebook is meant to test the usefulness of [Unidata's Siphon project](https://github.com/Unidata/siphon) for solar forecasting applications. Siphon has the potential to make accessing subsets of model data lot easier than using the traditional NOMADS services. -# -# Sections: -# 1. [GFS](#GFS) and [GFS 0.25 deg](#GFS-0.25-deg) -# 2. [NAM](#NAM) -# 2. [RAP](#RAP) -# 2. HRRR [NCEP](#NCEP) and [ESRL](#ESRL) -# 2. [NDFD](#NDFD) -# -# Requirements: -# * All siphon requirements as described [here](http://siphon.readthedocs.org/en/latest/developerguide.html). -# * Matplotlib, Seaborn, IPython notebook. -# -# Authors: -# * Will Holmgren, University of Arizona, July 2015 - -# Standard scientific python imports - -# In[1]: - -get_ipython().magic('matplotlib inline') - -import matplotlib as mpl -import matplotlib.pyplot as plt -import seaborn as sns -sns.set_color_codes() - -import pandas as pd -import numpy as np - -import datetime - - -# Imports for weather data. - -# In[2]: - -import netCDF4 -from netCDF4 import num2date - -from siphon.catalog import TDSCatalog -from siphon.ncss import NCSS - - -# Define start and end of forecast period. - -# In[3]: - -start = datetime.datetime(2015,7,29,12) #utc -end = start + datetime.timedelta(days=7) - - -# ## GFS - -# To get started, I'll try to follow Siphon's [timeseries example docs](http://siphon.readthedocs.org/en/latest/examples/generated/NCSS_Timeseries_Examples.html) fairly closely. - -# In[4]: - -best_gfs = TDSCatalog('http://thredds.ucar.edu/thredds/catalog/grib/NCEP/GFS/Global_0p5deg/catalog.xml?dataset=grib/NCEP/GFS/Global_0p5deg/Best') -best_gfs.datasets - - -# In[5]: - -best_ds = list(best_gfs.datasets.values())[0] -best_ds.access_urls - - -# In[6]: - -ncss = NCSS(best_ds.access_urls['NetcdfSubset']) - - -# In[7]: - -ncss.variables - - -# In[8]: - -query = ncss.query() -query.lonlat_point(-110.9, 32.2).vertical_level(100000).time_range(start, end) -query.variables('Temperature_isobaric').accept('netcdf') - - -# In[9]: - -data = ncss.get_data(query) - - -# In[10]: - -data - - -# In[11]: - -temp = data.variables['Temperature_isobaric'] -time = data.variables['time'] - - -# In[12]: - -time - - -# In[13]: - -time_vals = num2date(time[:].squeeze(), time.units) -time_vals[::5] - - -# In[14]: - -fig, ax = plt.subplots(1, 1, figsize=(9, 8)) -ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) -ax.set_ylabel(temp.standard_name + ' (%s)' % temp.units) -ax.set_xlabel('Forecast Time (UTC)') - - -# In[15]: - -cloud_vars = ['Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud', - 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average'] - -query = ncss.query() -query.lonlat_point(-110.9, 32.2).time_range(start, end) -query.variables(*cloud_vars) -query.accept('netcdf') - -data = ncss.get_data(query) -data - - -# In[16]: - -total_cloud_cover = data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] - - -# In[17]: - -time = data.variables['time'] -time_vals = num2date(time[:].squeeze(), time.units) - - -# In[18]: - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - -ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) -ax.set_xlabel('Forecast Time (UTC)') -ax.legend(bbox_to_anchor=(1.4,1.1)) -ax.set_title('GFS 0.5 deg') - - -# In[19]: - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) -ax.set_ylabel('Total cloud cover' + ' (%s)' % total_cloud_cover.units) -ax.set_xlabel('Forecast Time (UTC)') -ax.set_title('GFS 0.5 deg') - - -# In[20]: - -total_cloud_cover_05_deg = total_cloud_cover - - -# ## GFS 0.25 deg - -# Now with the new, higher resolution GFS... - -# In[21]: - -best_gfs_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/NCEP/GFS/Global_0p25deg/Best') - - -# In[22]: - -best_gfs_nc_sub.variables - - -# In[23]: - -variables = [ - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', - 'Temperature_surface', - 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud', - 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', - ] - -query = best_gfs_nc_sub.query() -query.lonlat_point(-110.9, 32.2).time_range(start, end) -query.variables(*variables) -#query.vertical_level(100000) -#query.add_query_parameter(height_above_ground=1) -query.accept('netcdf') - -data = best_gfs_nc_sub.get_data(query) -data - - -# In[24]: - -time = data.variables['time'] -time_vals = num2date(time[:].squeeze(), time.units) - - -# In[25]: - -cloud_vars = variables[2:] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - -ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) -ax.set_xlabel('Forecast Time (UTC)') -ax.legend(bbox_to_anchor=(1.4,1.1)) -ax.set_title('GFS 0.25 deg') - - -# In[26]: - -ghis = variables[:1] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in ghis: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) -ax.set_ylabel('GHI W/m**2') -ax.set_xlabel('Forecast Time (UTC)') -ax.legend() - - -# I don't know anything about the GHI forecasts from the GFS, but I don't think they'll be very good for solar power forecasting. - -# Compare the 0.5 and 0.25 deg forecasts... - -# In[27]: - -total_cloud_cover_025_deg = data.variables['Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average'] - - -# In[28]: - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, total_cloud_cover_05_deg, label='0.5 deg') -ax.plot(time_vals, total_cloud_cover_025_deg, label='0.25 deg') -ax.legend() -ax.set_ylabel('Cloud cover (%)') -ax.set_xlabel('Forecast Time (UTC)') -ax.set_title('GFS 0.5 and 0.25 deg comparison') - - -# ## NAM - -# UCAR thredds has 12 km NAM from both the NOAAPORT and CONDUIT services. - -# In[29]: - -best_nam_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/NAM/CONUS_12km/conduit/Best') - - -# In[30]: - -best_nam_nc_sub.variables - - -# The NAM has cloud cover and GHI data. I'm guessing that GHI is not very good. - -# In[31]: - -variables = ['Downward_Short-Wave_Radiation_Flux_surface', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', - 'Temperature_surface', - 'High_cloud_cover_high_cloud', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'Total_cloud_cover_entire_atmosphere_single_layer', - ] - -query = best_nam_nc_sub.query() -query.lonlat_point(-110.9, 32.2).time_range(start, end) -query.variables(*variables) -#query.vertical_level(100000) -#query.add_query_parameter(height_above_ground=1) -query.accept('netcdf') - -data = best_nam_nc_sub.get_data(query) -data - - -# In[32]: - -time = data.variables['time'] -time_vals = num2date(time[:].squeeze(), time.units) - - -# In[33]: - -cloud_vars = variables[3:] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - -ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) -ax.set_xlabel('Forecast Time (UTC)') -ax.legend(bbox_to_anchor=(1.4,1.1)) -ax.set_title('NAM') - - -# In[34]: - -ghis = variables[:2] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in ghis: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) -ax.set_ylabel('GHI W/m**2') -ax.set_xlabel('Forecast Time (UTC)') -ax.legend() - - -# ## RAP - -# The UCAR THREDDS server does not appear to pull cloud cover or irradiance data from the 13 km NCEP RAP, so we will use the 20 km data. - -# In[35]: - -best_rr_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/RAP/CONUS_20km/Best') - - -# In[36]: - -best_rr_nc_sub.variables - - -# There is low, mid, high, and total cloud cover data. - -# In[37]: - -variables = ['Total_cloud_cover_entire_atmosphere_single_layer', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud', - 'Temperature_surface'] - -query = best_rr_nc_sub.query() -query.lonlat_point(-110.9, 32.2).time_range(start, end) -query.variables(*variables) -#query.vertical_level(100000) -#query.add_query_parameter(height_above_ground=1) -query.accept('netcdf') - -data = best_rr_nc_sub.get_data(query) -data - - -# In[38]: - -time = data.variables['time'] -time_vals = num2date(time[:].squeeze(), time.units) - - -# In[39]: - -cloud_vars = variables[:-1] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - -ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) -ax.set_xlabel('Forecast Time (UTC)') -ax.legend(bbox_to_anchor=(1.4,1.1)) - - -# ## HRRR - -# There are two different UCAR HRRR datasets: NOAA/GSD and NCEP. - -# ### NCEP - -# In[40]: - -best_hrrr_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/NCEP/HRRR/CONUS_2p5km/Best') - - -# In[41]: - -best_hrrr_nc_sub.variables - - -# Like the RAP, there is low, mid, high, and total cloud cover. NCEP HRRR 2014-2015 does have GHI in the original grib files, but it's not very good (see Holmgren et al AMS 2015). - -# In[42]: - -variables = ['Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud',] - -query = best_hrrr_nc_sub.query() -query.lonlat_point(-110.9, 32.2).time_range(start, end) -query.variables(*variables) -#query.vertical_level(100000) -#query.add_query_parameter(height_above_ground=1) -query.accept('netcdf') - -data = best_hrrr_nc_sub.get_data(query) -data - - -# In[43]: - -time = data.variables['time'] -time_vals = num2date(time[:].squeeze(), time.units) - - -# In[44]: - -cloud_vars = variables - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - -ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) -ax.set_xlabel('Forecast Time (UTC)') -ax.legend(bbox_to_anchor=(1.4,1.1)) - - -# ### NOAA -# -# NOAA lists a bunch of different HRRR runs at -# -# http://rapidrefresh.noaa.gov/HRRR/ -# -# The HRRRX run at NOAA has a much improved irradiance forecast, but I'm not sure if that's what the Unidata thredds server pulls in. -# -# Unidata's "Best" link is for an archive instead of the most recent forecasts. So, we'll just look at one forecast. - -# In[45]: - -best_hrrr_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/HRRR/CONUS_3km/surface/HRRR_CONUS_3km_surface_201507291400.grib2') - - -# In[46]: - -variables = ['Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_UnknownLevelType-214', - 'Medium_cloud_cover_UnknownLevelType-224', - 'High_cloud_cover_UnknownLevelType-234', - 'Temperature_surface', - 'Downward_short-wave_radiation_flux_surface'] - -query = best_hrrr_nc_sub.query() -query.lonlat_point(-110.9, 32.2).time_range(start, end) -query.variables(*variables) -query.accept('netcdf') - -data = best_hrrr_nc_sub.get_data(query) -data - - -# ESRL HRRR has low, mid, high, and total cloud cover variables. -# -# It also has a GHI field. - -# In[47]: - -time = data.variables['time'] -time_vals = num2date(time[:].squeeze(), time.units) # this isn't working right for the hrrr - - -# In[48]: - -ghi = data['Downward_short-wave_radiation_flux_surface'] - - -# In[49]: - -cloud_vars = variables[:4] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) - -ax.set_ylabel('Cloud cover' + ' (%s)' % total_cloud_cover.units) -ax.set_xlabel('Forecast Time (UTC)') -ax.legend(bbox_to_anchor=(1.4,1.1)) - - -# In[50]: - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, ghi[:].squeeze(), linewidth=2) -ax.set_ylabel('GHI' + ' (%s)' % ghi.units) -ax.set_xlabel('Forecast Time (UTC)') - - -# The times are messed up, but I'm sure they can be fixed with a little effort. - -# ## NDFD - -# In[51]: - -best_ndfd_nc_sub = NCSS('http://thredds.ucar.edu/thredds/ncss/grib/NCEP/NDFD/NWS/CONUS/CONDUIT/Best') - - -# In[52]: - -ndfd_vars = ['Total_cloud_cover_surface', - 'Temperature_surface', - 'Wind_speed_surface'] - -query = best_ndfd_nc_sub.query() -query.lonlat_point(-110.9, 32.2).time_range(start, end) -query.variables(*ndfd_vars) -#query.vertical_level(100000) -#query.add_query_parameter(height_above_ground=1) -query.accept('netcdf') - -data = best_ndfd_nc_sub.get_data(query) -data - - -# In[53]: - -time = data.variables['time'] -time_vals = num2date(time[:].squeeze(), time.units) - - -# In[54]: - -total_cloud_cover = data.variables['Total_cloud_cover_surface'] -temp = data.variables['Temperature_surface'] -wind = data.variables['Wind_speed_surface'] - - -# In[55]: - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, total_cloud_cover[:].squeeze(), 'r', linewidth=2) -ax.set_ylabel('Total cloud cover' + ' (%s)' % total_cloud_cover.units) -ax.set_xlabel('Forecast Time (UTC)') -plt.ylim(0,100) - - -# In[56]: - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, temp[:].squeeze(), 'r', linewidth=2) -ax.set_ylabel('temp {}'.format(temp.units)) -ax.set_xlabel('Forecast Time (UTC)') - - -# In[57]: - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, wind[:].squeeze(), 'r', linewidth=2) -ax.set_ylabel('wind {}'.format(wind.units)) -ax.set_xlabel('Forecast Time (UTC)') - - -# In[ ]: - - - From c24b0b7b963115ba7e2226d2fa3e8c9db4679cd9 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Tue, 20 Oct 2015 14:37:18 -0700 Subject: [PATCH 07/88] Added forecast module documentation. --- docs/sphinx/source/conf.py | 5 ++++- docs/sphinx/source/pvlib.rst | 8 ++++++++ 2 files changed, 12 insertions(+), 1 deletion(-) diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index 6812c5976b..34239dc2c4 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -27,7 +27,7 @@ def __getattr__(cls, name): return Mock() MOCK_MODULES = ['scipy', 'scipy.io', 'numpy', 'ephem', 'pandas', - 'pvlib.spa_c_files.spa_py', 'dateutil'] + 'pvlib.spa_c_files.spa_py', 'dateutil','netCDF4'] sys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES) # If extensions (or modules to document with autodoc) are in another directory, @@ -38,6 +38,9 @@ def __getattr__(cls, name): # -- General configuration ------------------------------------------------ +# turns off numpydoc autosummary warnings +numpydoc_show_class_members = False + # If your documentation needs a minimal Sphinx version, state it here. #needs_sphinx = '1.0' diff --git a/docs/sphinx/source/pvlib.rst b/docs/sphinx/source/pvlib.rst index 8896f6dea2..c02bc2e3da 100644 --- a/docs/sphinx/source/pvlib.rst +++ b/docs/sphinx/source/pvlib.rst @@ -16,6 +16,14 @@ clearsky module :members: :undoc-members: :show-inheritance: + +forecast module +---------------- + +.. automodule:: pvlib.forecast + :members: + :undoc-members: + :show-inheritance: irradiance module ----------------- From 8745589a25ec26fb623a1df7e4b6a395926f17fd Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Thu, 22 Oct 2015 15:11:55 -0700 Subject: [PATCH 08/88] Updated documentation and Travis build files. --- .travis.yml | 13 ++++++------ .../sphinx/source/comparison_pvlib_matlab.rst | 1 + docs/sphinx/source/conf.py | 2 +- docs/sphinx/source/whatsnew/v0.3.0.txt | 21 +++++++++++++++++++ pvlib/version.py | 2 +- setup.py | 6 ++++-- 6 files changed, 34 insertions(+), 11 deletions(-) create mode 100644 docs/sphinx/source/whatsnew/v0.3.0.txt diff --git a/.travis.yml b/.travis.yml index 26e62d879c..615d52d094 100644 --- a/.travis.yml +++ b/.travis.yml @@ -62,13 +62,12 @@ before_install: install: - echo "install" - - conda env create --file ci/requirements-$CONDA_ENV.yml - - source activate test_env # all envs are named test_env in the yml files - - conda list - - echo $PATH - - ls -l /home/travis/miniconda/envs/test_env/lib - #- pip install . # use pip to automatically install anything not in the yml files (i.e. numpy/scipy/pandas for py3*) - - pip install scipy # won't do anything if already installed + - if [[ $TRAVIS_PYTHON_VERSION == '2.7' ]]; then conda install --yes python=$TRAVIS_PYTHON_VERSION numpy scipy pandas=$PD_VERSION nose pytz ephem netcdf4; fi + - if [[ $TRAVIS_PYTHON_VERSION == '3.3' || $TRAVIS_PYTHON_VERSION == '3.4' ]]; then conda install --yes python=$TRAVIS_PYTHON_VERSION numpy=1.8 scipy=0.14 pandas nose pytz ephem netcdf4; conda install --yes pandas=$PD_VERSION --no-deps; fi + - test $PD_VERSION != 0.13.1 && conda install --yes "numba>=0.17" || echo "Not installing numba" + - conda install -c https://github.com/Unidata/siphon.git + - conda install --yes coverage + - pip install coveralls - python setup.py install script: diff --git a/docs/sphinx/source/comparison_pvlib_matlab.rst b/docs/sphinx/source/comparison_pvlib_matlab.rst index 01bdb20ad2..20783bd8a7 100644 --- a/docs/sphinx/source/comparison_pvlib_matlab.rst +++ b/docs/sphinx/source/comparison_pvlib_matlab.rst @@ -36,6 +36,7 @@ Library wide changes * Removing unnecssary and sometimes undesired behavior such as setting maximum zenith=90 or airmass=0. Instead, we make extensive use of ``nan`` values. * Changing function and module names so that they do not conflict. * Added ``/pvlib/data`` for lookup tables, test, and tutorial data. +* Added ''forecast.py'' module, for downloading UNIDATA weather forecast data. More specific changes diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index 34239dc2c4..5eb821802a 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -27,7 +27,7 @@ def __getattr__(cls, name): return Mock() MOCK_MODULES = ['scipy', 'scipy.io', 'numpy', 'ephem', 'pandas', - 'pvlib.spa_c_files.spa_py', 'dateutil','netCDF4'] + 'pvlib.spa_c_files.spa_py', 'dateutil', 'netCDF4'] sys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES) # If extensions (or modules to document with autodoc) are in another directory, diff --git a/docs/sphinx/source/whatsnew/v0.3.0.txt b/docs/sphinx/source/whatsnew/v0.3.0.txt new file mode 100644 index 0000000000..5e174a660e --- /dev/null +++ b/docs/sphinx/source/whatsnew/v0.3.0.txt @@ -0,0 +1,21 @@ +.. _whatsnew_0300: + +v0.3.0 (October 22, 2015) +----------------------- + +This version only differs from 0.2.1 in that it adds a module that +can download weather forecast data from UNIDATA using the siphon +library . +Upgrade to this module is only necessary if you would like to access +UNIDATA forecast model data. + +Enhancements +~~~~~~~~~~~~ + +* Added ''forecast.py'' module which defines forecast model classes. + +Contributors +~~~~~~~~~~~~ + +* Derek Groenendyk +* Will Holmgren diff --git a/pvlib/version.py b/pvlib/version.py index 2b3414c7b4..493f7415d7 100644 --- a/pvlib/version.py +++ b/pvlib/version.py @@ -1 +1 @@ -__version__ = "0.2.2dev" +__version__ = "0.3.0" diff --git a/setup.py b/setup.py index 231dbd0e0c..d260fbbcab 100644 --- a/setup.py +++ b/setup.py @@ -31,10 +31,12 @@ setuptools_kwargs = { 'zip_safe': False, - 'install_requires': ['numpy >= 1.8.2', + 'install_requires': ['netCDF4', + 'numpy >= 1.7.0', 'pandas >= 0.13.1', 'pytz', - 'six', + 'siphon', + 'six', ], 'scripts': [], 'include_package_data': True From fa3044b53cae624c67dcf6f26369436e240b59d9 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Thu, 22 Oct 2015 16:42:25 -0700 Subject: [PATCH 09/88] Updated Travis build to include netcdf and siphon. --- .travis.yml | 2 +- setup.py | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/.travis.yml b/.travis.yml index 615d52d094..3693570b5d 100644 --- a/.travis.yml +++ b/.travis.yml @@ -65,8 +65,8 @@ install: - if [[ $TRAVIS_PYTHON_VERSION == '2.7' ]]; then conda install --yes python=$TRAVIS_PYTHON_VERSION numpy scipy pandas=$PD_VERSION nose pytz ephem netcdf4; fi - if [[ $TRAVIS_PYTHON_VERSION == '3.3' || $TRAVIS_PYTHON_VERSION == '3.4' ]]; then conda install --yes python=$TRAVIS_PYTHON_VERSION numpy=1.8 scipy=0.14 pandas nose pytz ephem netcdf4; conda install --yes pandas=$PD_VERSION --no-deps; fi - test $PD_VERSION != 0.13.1 && conda install --yes "numba>=0.17" || echo "Not installing numba" - - conda install -c https://github.com/Unidata/siphon.git - conda install --yes coverage + - pip install git+https://github.com/Unidata/siphon.git@master - pip install coveralls - python setup.py install diff --git a/setup.py b/setup.py index d260fbbcab..777fbfadfb 100644 --- a/setup.py +++ b/setup.py @@ -31,12 +31,12 @@ setuptools_kwargs = { 'zip_safe': False, - 'install_requires': ['netCDF4', - 'numpy >= 1.7.0', + 'install_requires': ['numpy >= 1.7.0', 'pandas >= 0.13.1', 'pytz', - 'siphon', - 'six', + 'six', + 'netCDF4', + 'siphon', ], 'scripts': [], 'include_package_data': True From b13620db1cdfe4b9150f41419f6a63aba6176a8c Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Thu, 22 Oct 2015 16:58:43 -0700 Subject: [PATCH 10/88] Moved forecast_testing.py and added requirements.txt. --- {pvlib => docs/tutorials}/forecast_testing.py | 0 requirements.txt | 1 + 2 files changed, 1 insertion(+) rename {pvlib => docs/tutorials}/forecast_testing.py (100%) create mode 100644 requirements.txt diff --git a/pvlib/forecast_testing.py b/docs/tutorials/forecast_testing.py similarity index 100% rename from pvlib/forecast_testing.py rename to docs/tutorials/forecast_testing.py diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000000..3b2bd251fd --- /dev/null +++ b/requirements.txt @@ -0,0 +1 @@ +netCDF4>=1.1.0 From 7cf13ac83040fddf76290b507a4dfc8b4743c1a4 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Tue, 3 Nov 2015 14:19:08 -0700 Subject: [PATCH 11/88] updated Travis build conda requirements in /ci --- ci/requirements-py27-min.yml | 1 + ci/requirements-py27.yml | 1 + ci/requirements-py34.yml | 1 + ci/requirements-py35.yml | 1 + 4 files changed, 4 insertions(+) diff --git a/ci/requirements-py27-min.yml b/ci/requirements-py27-min.yml index 1cd6103267..a63548b462 100644 --- a/ci/requirements-py27-min.yml +++ b/ci/requirements-py27-min.yml @@ -7,5 +7,6 @@ dependencies: - nose - pytz - ephem + - netcdf4 - pip: - coveralls \ No newline at end of file diff --git a/ci/requirements-py27.yml b/ci/requirements-py27.yml index 52d8d575f2..b25522b2ca 100644 --- a/ci/requirements-py27.yml +++ b/ci/requirements-py27.yml @@ -8,5 +8,6 @@ dependencies: - pytz - ephem - numba + - netcdf4 - pip: - coveralls \ No newline at end of file diff --git a/ci/requirements-py34.yml b/ci/requirements-py34.yml index efcf7848a2..680baa8f59 100644 --- a/ci/requirements-py34.yml +++ b/ci/requirements-py34.yml @@ -4,6 +4,7 @@ dependencies: - nose - pytz - ephem + - netcdf4 #- numba - pip: - numpy diff --git a/ci/requirements-py35.yml b/ci/requirements-py35.yml index 219a1025e8..8903f9b621 100644 --- a/ci/requirements-py35.yml +++ b/ci/requirements-py35.yml @@ -4,6 +4,7 @@ dependencies: - nose - pytz - ephem + - netcdf4 # - numba - pip: - numpy From 52e6e7f34bc875df3725880f2e203e056bee1202 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Tue, 3 Nov 2015 23:15:17 -0700 Subject: [PATCH 12/88] Modified forecast.py and updated testing docs. --- .gitattributes | 1 + .gitignore | 4 + docs/tutorials/README | 16 + docs/tutorials/forecast_testing.py | 8 +- .../{ => notebooks}/atmosphere.ipynb | 0 .../{ => notebooks}/irradiance.ipynb | 0 docs/tutorials/{ => notebooks}/pvsystem.ipynb | 0 .../{ => notebooks}/solarposition.ipynb | 0 docs/tutorials/{ => notebooks}/tmy.ipynb | 0 .../tmy_and_diffuse_irrad_models.ipynb | 0 .../{ => notebooks}/tmy_to_power.ipynb | 0 docs/tutorials/{ => notebooks}/tracking.ipynb | 0 docs/tutorials/python-scripts.tpl | 6 + docs/tutorials/requirements.txt | 1 + docs/tutorials/scripts/atmosphere.py | 66 ++ docs/tutorials/scripts/forecast.py | 170 ++++ docs/tutorials/scripts/irradiance.py | 705 +++++++++++++ docs/tutorials/scripts/pvsystem.py | 378 +++++++ docs/tutorials/scripts/solarposition.py | 267 +++++ docs/tutorials/scripts/tmy.py | 72 ++ .../scripts/tmy_and_diffuse_irrad_models.py | 189 ++++ docs/tutorials/scripts/tmy_to_power.py | 417 ++++++++ docs/tutorials/scripts/tracking.py | 951 ++++++++++++++++++ docs/tutorials/test_examples.py | 43 + pvlib/__init__.py | 3 +- pvlib/forecast.py | 90 +- setup.py | 33 + 27 files changed, 3352 insertions(+), 68 deletions(-) create mode 100644 .gitattributes create mode 100644 docs/tutorials/README rename docs/tutorials/{ => notebooks}/atmosphere.ipynb (100%) rename docs/tutorials/{ => notebooks}/irradiance.ipynb (100%) rename docs/tutorials/{ => notebooks}/pvsystem.ipynb (100%) rename docs/tutorials/{ => notebooks}/solarposition.ipynb (100%) rename docs/tutorials/{ => notebooks}/tmy.ipynb (100%) rename docs/tutorials/{ => notebooks}/tmy_and_diffuse_irrad_models.ipynb (100%) rename docs/tutorials/{ => notebooks}/tmy_to_power.ipynb (100%) rename docs/tutorials/{ => notebooks}/tracking.ipynb (100%) create mode 100644 docs/tutorials/python-scripts.tpl create mode 100644 docs/tutorials/requirements.txt create mode 100644 docs/tutorials/scripts/atmosphere.py create mode 100644 docs/tutorials/scripts/forecast.py create mode 100644 docs/tutorials/scripts/irradiance.py create mode 100644 docs/tutorials/scripts/pvsystem.py create mode 100644 docs/tutorials/scripts/solarposition.py create mode 100644 docs/tutorials/scripts/tmy.py create mode 100644 docs/tutorials/scripts/tmy_and_diffuse_irrad_models.py create mode 100644 docs/tutorials/scripts/tmy_to_power.py create mode 100644 docs/tutorials/scripts/tracking.py create mode 100644 docs/tutorials/test_examples.py diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000..7c92745f88 --- /dev/null +++ b/.gitattributes @@ -0,0 +1 @@ +pvlib/_version.py export-subst diff --git a/.gitignore b/.gitignore index 444f214d0e..49453ed22e 100644 --- a/.gitignore +++ b/.gitignore @@ -77,3 +77,7 @@ coverage.xml #Ignore some notebooks *.ipynb !docs/tutorials/*.ipynb +/pvlib/*.csv +/pvlib/pvlibdev.sublime-workspace +/pvlib/pvlibdev.sublime-project +/pvlib/varlists.pkl diff --git a/docs/tutorials/README b/docs/tutorials/README new file mode 100644 index 0000000000..7fd48b92fc --- /dev/null +++ b/docs/tutorials/README @@ -0,0 +1,16 @@ +In order to run these examples, you need to do the following: + +1. If you do not have an ipython profile, create a default one one using: + +ipython profile create + +2. Edit ~/.ipython/profile_default/ipython_kernel_config.py and add the line: + +c.IPKernelApp.matplotlib = 'inline' + +Now when you start an ipython notebook, you will not need to include the +ipython magic command "%matplotlib inline" to get inline figures. + +Why not include the magic command in these notebooks directly? These notebooks +are actually ran as part of the siphon test suite, and including the matplotlib +inline magic command causes issues on TravisCI. diff --git a/docs/tutorials/forecast_testing.py b/docs/tutorials/forecast_testing.py index 110378384d..7e2b610d23 100644 --- a/docs/tutorials/forecast_testing.py +++ b/docs/tutorials/forecast_testing.py @@ -194,12 +194,12 @@ def testFM(start,end): # gfshires = GFS_HIRES() # nam = NAM() # rap = RAP() - # ncep = NCEP() + hrrr = HRRR('esrl') # noaa = NOAA() - ndfd = NDFD() + # ndfd = NDFD() - # models = [gfs,gfshires,nam,rap,ncep,noaa,ndfd] - models = [ndfd] + # models = [gfs,gfshires,nam,rap,hrrr,noaa,ndfd] + models = [hrrr] varlists = [] diff --git a/docs/tutorials/atmosphere.ipynb b/docs/tutorials/notebooks/atmosphere.ipynb similarity index 100% rename from docs/tutorials/atmosphere.ipynb rename to docs/tutorials/notebooks/atmosphere.ipynb diff --git a/docs/tutorials/irradiance.ipynb b/docs/tutorials/notebooks/irradiance.ipynb similarity index 100% rename from docs/tutorials/irradiance.ipynb rename to docs/tutorials/notebooks/irradiance.ipynb diff --git a/docs/tutorials/pvsystem.ipynb b/docs/tutorials/notebooks/pvsystem.ipynb similarity index 100% rename from docs/tutorials/pvsystem.ipynb rename to docs/tutorials/notebooks/pvsystem.ipynb diff --git a/docs/tutorials/solarposition.ipynb b/docs/tutorials/notebooks/solarposition.ipynb similarity index 100% rename from docs/tutorials/solarposition.ipynb rename to docs/tutorials/notebooks/solarposition.ipynb diff --git a/docs/tutorials/tmy.ipynb b/docs/tutorials/notebooks/tmy.ipynb similarity index 100% rename from docs/tutorials/tmy.ipynb rename to docs/tutorials/notebooks/tmy.ipynb diff --git a/docs/tutorials/tmy_and_diffuse_irrad_models.ipynb b/docs/tutorials/notebooks/tmy_and_diffuse_irrad_models.ipynb similarity index 100% rename from docs/tutorials/tmy_and_diffuse_irrad_models.ipynb rename to docs/tutorials/notebooks/tmy_and_diffuse_irrad_models.ipynb diff --git a/docs/tutorials/tmy_to_power.ipynb b/docs/tutorials/notebooks/tmy_to_power.ipynb similarity index 100% rename from docs/tutorials/tmy_to_power.ipynb rename to docs/tutorials/notebooks/tmy_to_power.ipynb diff --git a/docs/tutorials/tracking.ipynb b/docs/tutorials/notebooks/tracking.ipynb similarity index 100% rename from docs/tutorials/tracking.ipynb rename to docs/tutorials/notebooks/tracking.ipynb diff --git a/docs/tutorials/python-scripts.tpl b/docs/tutorials/python-scripts.tpl new file mode 100644 index 0000000000..ff7b362d39 --- /dev/null +++ b/docs/tutorials/python-scripts.tpl @@ -0,0 +1,6 @@ +{%- extends 'python.tpl' -%} +{% block in_prompt %}{% endblock in_prompt %} +{% block input %}{{ cell.source | ipython2python }} +{% endblock input %} +{% block header %}# coding: utf-8 +{% endblock header %} diff --git a/docs/tutorials/requirements.txt b/docs/tutorials/requirements.txt new file mode 100644 index 0000000000..5dd9b8b711 --- /dev/null +++ b/docs/tutorials/requirements.txt @@ -0,0 +1 @@ +matplotlib>=1.3 diff --git a/docs/tutorials/scripts/atmosphere.py b/docs/tutorials/scripts/atmosphere.py new file mode 100644 index 0000000000..ae97664c2d --- /dev/null +++ b/docs/tutorials/scripts/atmosphere.py @@ -0,0 +1,66 @@ +# coding: utf-8 + +# # ``atmosphere.py`` tutorial +# +# This tutorial needs your help to make it better! +# +# This tutorial has been tested against the following package versions: +# * pvlib 0.2.0 +# * Python 2.7.10 +# * IPython 3.2 +# * Pandas 0.16.2 +# +# It should work with other Python and Pandas versions. It requires pvlib > 0.2.0 and IPython > 3.0. +# +# Authors: +# * Will Holmgren (@wholmgren), University of Arizona. 2015. +get_ipython().magic('matplotlib inline') +import matplotlib.pyplot as plt +try: + import seaborn as sns + sns.set(rc={"figure.figsize": (12, 6)}) +except ImportError: + print('We suggest you install seaborn using conda or pip and rerun this cell') + +# built in python modules +import datetime +import logging +import os +import inspect + +# python add-ons +import numpy as np +import pandas as pd + +import pvlib +from pvlib.location import Location + +tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') + +print(tus) + +times = pd.date_range(start=datetime.datetime(2014,6,24), end=datetime.datetime(2014,6,25), freq='1Min') + +pyephem_ephem = pvlib.solarposition.get_solarposition(times, tus, method='pyephem') +print(pyephem_ephem.head()) +pyephem_ephem.plot() + +pyephem_ephem = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus, method='pyephem') +print(pyephem_ephem.head()) +pyephem_ephem.plot() + +pvlib.atmosphere.relativeairmass(pyephem_ephem['zenith']).plot() +pvlib.atmosphere.relativeairmass(pyephem_ephem['apparent_zenith']).plot() +pvlib.atmosphere.relativeairmass(pyephem_ephem['zenith'], model='young1994').plot() +pvlib.atmosphere.relativeairmass(pyephem_ephem['zenith'], model='simple').plot() +plt.legend() +plt.ylim(0,100) + +plt.plot(pyephem_ephem['zenith'], pvlib.atmosphere.relativeairmass(pyephem_ephem['zenith'], model='simple'), label='simple') +plt.plot(pyephem_ephem['zenith'], pvlib.atmosphere.relativeairmass(pyephem_ephem['apparent_zenith']), label='default') +plt.xlim(0,100) +plt.ylim(0,100) +plt.legend() + + + diff --git a/docs/tutorials/scripts/forecast.py b/docs/tutorials/scripts/forecast.py new file mode 100644 index 0000000000..b004bbaf46 --- /dev/null +++ b/docs/tutorials/scripts/forecast.py @@ -0,0 +1,170 @@ +# coding: utf-8 +get_ipython().magic('matplotlib inline') +import matplotlib.pyplot as plt +try: + import seaborn as sns + sns.set(rc={"figure.figsize": (12, 6)}) +except ImportError: + print('We suggest you install seaborn using conda or pip and rerun this cell') + +# built in python modules +from datetime import datetime, timedelta +import os + +# python add-ons +import numpy as np +import pandas as pd +try: + import netCDF4 + from netCDF4 import num2date +except ImportError: + print('We suggest you install netCDF4 using conda rerun this cell') + +# for accessing UNIDATA THREDD servers +from siphon.catalog import TDSCatalog +from siphon.ncss import NCSS + +from pvlib.forecast import * + +start = datetime.utcnow() # today's date +end = start + timedelta(days=7) # 7 days from today +timerange = [start, end] + +coordinates = [-110.9, 32.2] # Tucson, AZ + +fm = GFS() + +data = fm.get_query_data(coordinates,timerange) + +time_vals = fm.time + +var_name = 'temperature_iso' + +fig, ax = plt.subplots(1, 1, figsize=(9, 8)) +ax.plot(time_vals, data[var_name], 'r', linewidth=2) +ax.set_ylabel(fm.var_stdnames[var_name] + ' (%s)' % fm.var_units[var_name]) +ax.set_xlabel('Forecast Time (UTC)') + +var_name = 'total_clouds' + +total_cloud_cover = data[var_name] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name]) +ax.set_xlabel('Forecast Time (UTC)') +ax.set_title('GFS 0.5 deg') +for varname in fm.variables[1:]: + ax.plot(time_vals, data[varname], linewidth=2, label=varname) +ax.legend(bbox_to_anchor=(1.4,1.1)) + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2) +ax.set_ylabel('Total cloud cover' + ' (%s)' % fm.var_units[var_name]) +ax.set_xlabel('Forecast Time (UTC)') +ax.set_title('GFS 0.5 deg') + +fm = NAM() + +data = fm.get_query_data(coordinates,timerange) + +time_vals = fm.time + +cloud_vars = fm.variables[3:] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in cloud_vars: + ax.plot(time_vals, data[varname], linewidth=2, label=varname) +ax.set_ylabel('Cloud cover (%)') +ax.set_xlabel('Forecast Time (UTC)') +ax.legend(bbox_to_anchor=(1.4,1.1)) +ax.set_title('NAM') + +ghis = fm.variables[:2] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in ghis: + ax.plot(time_vals, data[varname], linewidth=2, label=varname) +ax.set_ylabel('GHI W/m**2') +ax.set_xlabel('Forecast Time (UTC)') +ax.legend() + +fm = NDFD() + +data = fm.get_query_data([-110.9,32.2],[start,end]) + +time_vals = fm.time + +total_cloud_cover = data['total_clouds'] +temp = data['temperature'] +wind = data['wind_speed'] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2) +ax.set_ylabel('Cloud cover (%)') +ax.set_xlabel('Forecast Time (UTC)') +plt.ylim(0,100) + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, temp, 'r', linewidth=2) +ax.set_ylabel('temp {}'.format(fm.var_units['temperature'])) +ax.set_xlabel('Forecast Time (UTC)') + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, wind, 'r', linewidth=2) +ax.set_ylabel('wind {}'.format(fm.var_units['wind_speed'])) +ax.set_xlabel('Forecast Time (UTC)') + +fm = RAP() + +data = fm.get_query_data([-110.9,32.2],[start,end]) + +time_vals = fm.time + +cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds'] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) +ax.set_ylabel('Cloud cover (%)') +ax.set_xlabel('Forecast Time (UTC)') +ax.legend(bbox_to_anchor=(1.4,1.1)) + +fm = GSD() + +data = fm.get_query_data([-110.9,32.2],[start,end]) + +time_vals = fm.time + +cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds'] + +var_name = 'downward_shortwave_radflux' + +ghi = data[var_name] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) +ax.set_ylabel('Cloud cover (%)') +ax.set_xlabel('Forecast Time (UTC)') +ax.legend(bbox_to_anchor=(1.4,1.1)) + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +ax.plot(time_vals, ghi[:].squeeze(), linewidth=2) +ax.set_ylabel('GHI' + ' (%s)' % fm.var_units[var_name]) +ax.set_xlabel('Forecast Time (UTC)') + +fm = NCEP() + +data = fm.get_query_data([-110.9,32.2],[start,end]) + +time_vals = fm.time + +cloud_vars = fm.variables[3:] + +fig, ax = plt.subplots(1, 1, figsize=(10, 6)) +for varname in cloud_vars: + ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) +ax.set_ylabel('Cloud cover (%)') +ax.set_xlabel('Forecast Time (UTC)') +ax.legend(bbox_to_anchor=(1.4,1.1)) + diff --git a/docs/tutorials/scripts/irradiance.py b/docs/tutorials/scripts/irradiance.py new file mode 100644 index 0000000000..048205c091 --- /dev/null +++ b/docs/tutorials/scripts/irradiance.py @@ -0,0 +1,705 @@ +# coding: utf-8 + +# # irradiance.py tutorial + +# This tutorial explores some of the functions available in the ``pvlib`` module ``irradiance.py``. +# +# This tutorial is known to work with the following package versions: +# * pvlib 0.2.0 +# * Python 2.7.10 +# * IPython 3.2 +# * pandas 0.16.2 +# +# It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0. +# +# Authors: +# * Will Holmgren (@wholmgren), University of Arizona. July 2014, April 2015, July 2015. +get_ipython().magic('matplotlib inline') +import matplotlib.pyplot as plt +try: + import seaborn as sns + sns.set(rc={'figure.figsize':(12,6)}) +except ImportError: + pass + +# built in python modules +import datetime + +# python add-ons +import numpy as np +import pandas as pd + +import pvlib + + +# ## Table of contents +# +# 1. [Extraterrestrial radiation](#Extraterrestrial-radiation) +# 2. [Clear sky models](#Clear-sky-models) +# 2. [Diffuse ground](#Diffuse-ground) +# 2. [Diffuse sky](#Diffuse-sky) +# 1. [Isotropic](#Isotropic-model) +# 2. [Klucher](#Klucher-model) +# 2. [Reindl](#Reindl-model) +# 2. [Hay-Davies](#Hay-Davies-model) +# 2. [Perez](#Perez-model) +# 2. [Angle of incidence](#Angle-of-incidence-functions) +# 2. [total_irrad](#total_irrad) + +# ### Extraterrestrial radiation + +# Many solar power algorithms start with the irradiance incident on the top of the Earth's atmosphere, often known as the extraterrestrial radiation. ``pvlib`` has three different algorithms to calculate the yearly cycle of the extraterrestrial radiation given the solar constant. +times = pd.date_range('2014-01-01', '2015-01-01', freq='1D') + +spencer = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer'), times) +asce = pd.Series(pvlib.irradiance.extraradiation(times, method='asce'), times) +ephem = pvlib.irradiance.extraradiation(times, method='pyephem') # approx 100x slower than the above. + +spencer.plot(label='spencer') +asce.plot(label='asce') +ephem.plot(label='pyephem') +plt.legend() +plt.ylabel('Extraterrestrial radiation (W/m^2)') + + +# The ``pyephem`` method is probably the most accurate since it uses an external library specifically designed for astronomical position calculations. However, as shown in the plot below, the difference is only +/-2 W/m^2 over the entire year. +et_diff = spencer - ephem +et_diff.plot() +plt.ylabel('spencer-ephem (W/m**2)') + + +# You can also control the solar constant. +spencer_1400 = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer', solar_constant=1400), times) + +spencer.plot(label='default') +spencer_1400.plot(label='1400') +plt.legend() +plt.title('Impact of solar constant') +plt.ylabel('ET Irradiance (W/m^2)') + + +# ## Clear sky models + +# ``pvlib`` has two different clear sky models: Ineichen and Haurwitz. We'll explore some of the features of each of them. + +# First, we need to make a ``Location`` object so that ``pvlib`` can calculate the solar position when needed. +from pvlib.location import Location + +tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') +print(tus) + +times = pd.date_range(start=datetime.datetime(2014,1,1), end=datetime.datetime(2014,1,2), freq='1Min').tz_localize(tus.tz) +solpos = pvlib.solarposition.get_solarposition(times, tus, method='pyephem') +ephem_data = solpos + + +# #### Haurwitz +# +# The Haurwitz model is a very simple model that only needs the solar zenith. +irrad_data = pvlib.clearsky.haurwitz(solpos['apparent_zenith']) +irrad_data.plot() +plt.ylabel('Irradiance (W/m^2)') + + +# #### Ineichen + +# The ``ineichen`` algorithm only requires you to supply the times and the location, but accepts many more optional parameters. It automatically calculates the solar position and looks up the Linke turbidity (related to the optical depth of the atmosphere). +irrad_data = pvlib.clearsky.ineichen(times, tus) +irrad_data.plot() + + +# The Linke turbidity lookup table uses monthly values, but these are interpolated down to daily values by default. You can also specify the value yourself. You can also supply the zenith angle to avoid recalculating the solar position each time the function is called. +solpos = pvlib.solarposition.get_solarposition(times, tus, method='pyephem') + +fig, axes = plt.subplots(1,3, figsize=(16,5), sharey=True) + +irrad_data = pvlib.clearsky.ineichen(times, tus, linke_turbidity=None, zenith_data=solpos['apparent_zenith']) +ax = axes[0] +irrad_data.plot(ax=ax) +ax.set_title('LT lookup table') +ax.set_ylabel('Irradiance W/m^2') + +irrad_data = pvlib.clearsky.ineichen(times, tus, linke_turbidity=2.0, zenith_data=solpos['apparent_zenith']) +ax = axes[1] +irrad_data.plot(ax=ax) +ax.set_title('LT=2.0') + +irrad_data35 = pvlib.clearsky.ineichen(times, tus, linke_turbidity=3.5, zenith_data=solpos['apparent_zenith']) +ax = axes[2] +irrad_data35.plot(ax=ax) +ax.set_title('LT=3.5') + + +# Here's a comparison between the clear sky algorithms. +ineichen_data = pvlib.clearsky.ineichen(times, tus, linke_turbidity=None, zenith_data=solpos['apparent_zenith']) +haurwitz_data = pvlib.clearsky.haurwitz(solpos['apparent_zenith']) + +ineichen_data['ghi'].plot(label='Ineichen') +haurwitz_data['ghi'].plot(label='Haurwitz') +plt.ylabel('Irradiance W/m^2') +plt.legend() + + +# ### Diffuse ground + +# The ``grounddiffuse`` function has a few different ways to obtain the diffuse light reflected from the ground given an surface tilt and the GHI. + +# First, you can specify the albedo of ground. +ground_irrad = pvlib.irradiance.grounddiffuse(40, irrad_data['ghi'], albedo=.25) +ground_irrad.plot() +plt.ylabel('Diffuse ground irradiance (W/m^2)') + + +# Alternatively, you can specify the surface type with a string such as ``'concrete'`` or ``'snow'``. All of the available ``surface_type`` options are show in the plot below. +try: + sns.set_palette('husl', len(pvlib.irradiance.SURFACE_ALBEDOS.items())) +except: + pass + +for surface, albedo in sorted(pvlib.irradiance.SURFACE_ALBEDOS.items(), key=lambda x: x[1], reverse=True): + ground_irrad = pvlib.irradiance.grounddiffuse(40, irrad_data['ghi'], surface_type=surface) + ground_irrad.plot(label='{}: {}'.format(surface, albedo)) + +plt.legend() +plt.ylabel('Diffuse ground irradiance (W/m^2)') +plt.title('Surface types') + + +# Next, vary the tilt angle. We expect to see maximum ground diffuse irradiance at a 90 deg tilt, and no ground diffuse irradiance at 0 tilt. +for surf_tilt in np.linspace(0, 90, 5): + ground_irrad = pvlib.irradiance.grounddiffuse(surf_tilt, irrad_data['ghi']) + ground_irrad.plot(label=surf_tilt) + +plt.legend() +plt.ylabel('Diffuse ground irradiance (W/m^2)') +plt.title('Ground diffuse as a function of tilt') + +try: + sns.set_palette('deep') +except: + pass + + +# ### Diffuse sky + +# ``pvlib`` has many different ways to calculate the diffuse sky component of GHI. +# +# The API for some of these functions needs some work. +# +# 1. [Isotropic](#Isotropic-model) +# 2. [Klucher](#Klucher-model) +# 2. [Reindl](#Reindl-model) +# 2. [Hay-Davies](#Hay-Davies-model) +# 2. [Perez](#Perez-model) + +# ### Isotropic model + +# The ``isotropic`` model is the simplest model. +sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data['dhi']) +sky_diffuse.plot(label='isotropic diffuse') +irrad_data['dhi'].plot() +irrad_data['ghi'].plot() +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + + +# Compare just the POA diffuse to the input DHI. +sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data['dhi']) +sky_diffuse.plot(label='isotropic diffuse') +irrad_data['dhi'].plot() +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + + +# ### Klucher model +surf_tilt = 40 +surf_az = 180 + +sky_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +sky_diffuse.plot(label='klucher diffuse') +irrad_data['dhi'].plot() +#irrad_data['ghi'].plot() +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + +surf_tilt = 40 +surf_az = 180 # south facing + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +irrad_data['dhi'].plot() + +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + + +# Klucher as a function of surface azimuth. +surf_tilt = 40 + +irrad_data['dhi'].plot() + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic') + +for surf_az in np.linspace(0, 270, 4): + klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) + klucher_diffuse.plot(label='klucher: {}'.format(surf_az)) + +plt.legend() + + +# Surface azimuth should not matter if tilt is 0. +surf_tilt = 0 + +irrad_data['dhi'].plot() + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic') + +for surf_az in np.linspace(0, 270, 4): + klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) + klucher_diffuse.plot(label='klucher: {}'.format(surf_az)) + +plt.legend() + + +# ### Reindl model + +# South facing at latitude. +surf_tilt = 32 +surf_az = 180 # south facing + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.extraradiation(times.dayofyear) +reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +reindl_diffuse.plot(label='reindl diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + + +# East facing +surf_tilt = 32 +surf_az = 90 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.extraradiation(times.dayofyear) +reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +reindl_diffuse.plot(label='reindl diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + + +# ### Hay-Davies model + +# Hay-Davies facing south. +surf_tilt = 32 +surf_az = 180 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.extraradiation(times.dayofyear) + +haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +reindl_diffuse.plot(label='reindl diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + + +# Facing east. +surf_tilt = 32 +surf_az = 90 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.extraradiation(times.dayofyear) + +haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +reindl_diffuse.plot(label='reindl diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + + +# Hay-Davies appears to be very similar to Reindl. Too similar? + +# ### King model +surf_tilt = 32 +surf_az = 90 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.extraradiation(times.dayofyear) + +haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +king_diffuse = pvlib.irradiance.king(surf_tilt,irrad_data['dhi'], irrad_data['ghi'], ephem_data['azimuth']) +king_diffuse.plot(label='king diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + + +# ### Perez model + +# This section walks through the Perez algorithm. +sun_zen = ephem_data['apparent_zenith'] +sun_az = ephem_data['azimuth'] +DNI = irrad_data['dni'] +DHI = irrad_data['dhi'] +DNI_ET = pvlib.irradiance.extraradiation(times.dayofyear) +AM = pvlib.atmosphere.relativeairmass(sun_zen) + +surf_tilt = 32 +surf_az = 180 + +kappa = 1.041 #for sun_zen in radians +z = np.radians(sun_zen) # convert to radians + +#Dhfilter = DHI > 0 + +# epsilon is the sky's clearness +eps = ( (DHI + DNI)/DHI + kappa*(z**3) ) / ( 1 + kappa*(z**3) ) + +eps.plot() + +ebin = eps.copy() +ebin[(eps<1.065)] = 1 +ebin[(eps>=1.065) & (eps<1.23)] = 2 +ebin[(eps>=1.23) & (eps<1.5)] = 3 +ebin[(eps>=1.5) & (eps<1.95)] = 4 +ebin[(eps>=1.95) & (eps<2.8)] = 5 +ebin[(eps>=2.8) & (eps<4.5)] = 6 +ebin[(eps>=4.5) & (eps<6.2)] = 7 +ebin[eps>=6.2] = 8 + +ebin.plot() +plt.ylim(0,9) + +ebin = ebin - 1 +ebin = ebin.dropna().astype(int) +ebin.plot() + +delta = DHI * AM / DNI_ET +delta = delta[ebin.index] +delta.plot() + +z = z[ebin.index] + +modelt = 'allsitescomposite1990' + +F1c, F2c = pvlib.irradiance._get_perez_coefficients(modelt) + +F1 = F1c[ebin,0] + F1c[ebin,1]*delta + F1c[ebin,2]*z +F1[F1<0]=0; +F1=F1.astype(float) + +#F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebinfilter] + F2c[ebin,2]*z[ebinfilter] +F2= F2c[ebin,0] + F2c[ebin,1]*delta + F2c[ebin,2]*z +F2[F2<0]=0 +F2=F2.astype(float) + +F1.plot(label='F1') +F2.plot(label='F2') +plt.legend() + +from pvlib import tools + +A = tools.cosd(surf_tilt)*tools.cosd(sun_zen) + tools.sind(surf_tilt)*tools.sind(sun_zen)*tools.cosd(sun_az-surf_az) #removed +180 from azimuth modifier: Rob Andrews October 19th 2012 +#A[A < 0] = 0 + +B = tools.cosd(sun_zen); +#B[B < pvl_tools.cosd(85)] = pvl_tools.cosd(85) + +A.plot(label='A') +B.plot(label='B') +plt.legend() + +sky_diffuse = DHI[ebin.index]*( 0.5* (1-F1)*(1+tools.cosd(surf_tilt))+F1 * A[ebin.index]/ B[ebin.index] + F2*tools.sind(surf_tilt)) +sky_diffuse[sky_diffuse < 0] = 0 + +sky_diffuse.plot() + + +# Compare the Perez model to others. +sun_zen = ephem_data['apparent_zenith'] +sun_az = ephem_data['azimuth'] +DNI = irrad_data['dni'] +DHI = irrad_data['dhi'] +DNI_ET = pvlib.irradiance.extraradiation(times.dayofyear) +AM = pvlib.atmosphere.relativeairmass(sun_zen) + +surf_tilt = 32 +surf_az = 180 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.extraradiation(times.dayofyear) + +haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + AM) +perez_diffuse.plot(label='perez diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + +sun_zen = ephem_data['apparent_zenith'] +sun_az = ephem_data['azimuth'] +DNI = irrad_data['dni'] +DHI = irrad_data['dhi'] +DNI_ET = pvlib.irradiance.extraradiation(times.dayofyear) +AM = pvlib.atmosphere.relativeairmass(sun_zen) + +surf_tilt = 32 +surf_az = 90 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.extraradiation(times.dayofyear) + +haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + AM) +perez_diffuse.plot(label='perez diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + + +# Examine the impact of the coeffecient selection. +perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + AM, modelt='allsitescomposite1990') +perez_diffuse.plot(label='allsitescomposite1990') + +perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + AM, modelt='phoenix1988') +perez_diffuse.plot(label='phoenix1988') + +plt.legend() + + +# ## Angle of incidence functions + +# The ``irradiance`` module has some convenience functions to help calculate the angle of incidence. + +# First, the angle of incidence. +proj = pvlib.irradiance.aoi(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth']) +proj.plot() + +#plt.ylim(-1.1,1.1) +plt.legend() + + +# AOI projection: the dot production of the surface normal and the vector to the sun. +proj = pvlib.irradiance.aoi_projection(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth']) +proj.plot() + +plt.ylim(-1.1,1.1) +plt.legend() + + +# The ratio between POA projection and the horizontal projection. +ratio = pvlib.irradiance.poa_horizontal_ratio(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth']) +ratio.plot() +plt.ylim(-4,4) + + +# This plot shows that an explicit dot product calculation gives the same result as ``aoi_projection``. +surf_tilt = 90 +surf_az = 90 + +sen_alt_rad = np.radians(90 - surf_tilt) +sen_azi_rad = np.radians(surf_az) + +alts = np.radians(90 - ephem_data['apparent_zenith']) +azis = np.radians(ephem_data['apparent_azimuth']) + +dotprod = np.cos(sen_alt_rad)*np.cos(alts)*np.cos(sen_azi_rad-azis) + np.sin(sen_alt_rad)*np.sin(alts) +dotprod.plot(label='dotprod') + +proj = pvlib.irradiance.aoi_projection(surf_tilt, surf_az, ephem_data['apparent_zenith'], ephem_data['azimuth']) +proj.plot() + +plt.ylim(-1.1,1.1) +plt.legend() + + +# ### total_irrad + +# There is an experimental convenience function ``total_irrad`` that aims to make it easier to play with different models. For now, we use it to make summary plots of the models explored above. + +# South facing with latitude tilt. +models = ['isotropic', 'klutcher', 'haydavies', 'reindl', 'king', 'perez'] +totals = {} + +for model in models: + total = pvlib.irradiance.total_irrad(32, 180, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + dni=irrad_data['dni'], ghi=irrad_data['ghi'], dhi=irrad_data['dhi'], + dni_extra=dni_et, airmass=AM, + model=model, + surface_type='urban') + totals[model] = total + total.plot() + plt.title(model) + plt.ylabel('Irradiance (W/m^2)') + + +plt.figure() +for model, total in totals.items(): + total['total'].plot(lw=.5, label=model) + +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + + +# tilt = 0 +models = ['isotropic', 'klutcher', 'haydavies', 'reindl', 'king', 'perez'] +totals = {} + +for model in models: + total = pvlib.irradiance.total_irrad(0, 180, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + dni=irrad_data['dni'], ghi=irrad_data['ghi'], dhi=irrad_data['dhi'], + dni_extra=dni_et, airmass=AM, + model=model, + surface_type='urban') + totals[model] = total + total.plot() + plt.title(model) + plt.ylabel('Irradiance (W/m^2)') + + +plt.figure() +for model, total in totals.items(): + total['total'].plot(lw=.5, label=model) + +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + + +# East facing with latitude tilt. +models = ['isotropic', 'klutcher', 'haydavies', 'reindl', 'king', 'perez'] +totals = {} + +for model in models: + total = pvlib.irradiance.total_irrad(32, 90, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + dni=irrad_data['dni'], ghi=irrad_data['ghi'], dhi=irrad_data['dhi'], + dni_extra=dni_et, airmass=AM, + model=model, + surface_type='urban') + totals[model] = total + total.plot() + plt.title(model) + plt.ylabel('Irradiance (W/m^2)') + + +plt.figure() +for model, total in totals.items(): + total['total'].plot(lw=.5, label=model) + +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + + + diff --git a/docs/tutorials/scripts/pvsystem.py b/docs/tutorials/scripts/pvsystem.py new file mode 100644 index 0000000000..9725f1bad0 --- /dev/null +++ b/docs/tutorials/scripts/pvsystem.py @@ -0,0 +1,378 @@ +# coding: utf-8 + +# # pvsystem tutorial + +# This tutorial explores the ``pvlib.pvsystem`` module. The module has functions for importing PV module and inverter data and functions for modeling module and inverter performance. +# +# 1. [systemdef](#systemdef) +# 2. [Angle of Incidence Modifiers](#Angle-of-Incidence-Modifiers) +# 2. [Sandia Cell Temp correction](#Sandia-Cell-Temp-correction) +# 2. [Sandia Inverter Model](#snlinverter) +# 2. [Sandia Array Performance Model](#SAPM) +# 1. [SAPM IV curves](#SAPM-IV-curves) +# 2. [DeSoto Model](#desoto) +# 2. [Single Diode Model](#Single-diode-model) +# +# This tutorial has been tested against the following package versions: +# * pvlib 0.2.0 +# * Python 2.7.10 +# * IPython 3.2 +# * Pandas 0.16.2 +# +# It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0. +# +# Authors: +# * Will Holmgren (@wholmgren), University of Arizona. 2015. +# built-in python modules +import os +import inspect +import datetime + +# scientific python add-ons +import numpy as np +import pandas as pd + +# plotting stuff +# first line makes the plots appear in the notebook +get_ipython().magic('matplotlib inline') +import matplotlib.pyplot as plt +# seaborn makes your plots look better +try: + import seaborn as sns + sns.set(rc={"figure.figsize": (12, 6)}) +except ImportError: + print('We suggest you install seaborn using conda or pip and rerun this cell') + +# finally, we import the pvlib library +import pvlib + +import pvlib +from pvlib import pvsystem + + +# ### systemdef + +# ``pvlib`` can import TMY2 and TMY3 data. Here, we import the example files. +pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) + +tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv')) +tmy2_data, tmy2_metadata = pvlib.tmy.readtmy2(os.path.join(pvlib_abspath, 'data', '12839.tm2')) + +pvlib.pvsystem.systemdef(tmy3_metadata, 0, 0, .1, 5, 5) + +pvlib.pvsystem.systemdef(tmy2_metadata, 0, 0, .1, 5, 5) + + +# ### Angle of Incidence Modifiers +angles = np.linspace(-180,180,3601) +ashraeiam = pd.Series(pvsystem.ashraeiam(.05, angles), index=angles) + +ashraeiam.plot() +plt.ylabel('ASHRAE modifier') +plt.xlabel('input angle (deg)') + +angles = np.linspace(-180,180,3601) +physicaliam = pd.Series(pvsystem.physicaliam(4, 0.002, 1.526, angles), index=angles) + +physicaliam.plot() +plt.ylabel('physical modifier') +plt.xlabel('input index') + +plt.figure() +ashraeiam.plot(label='ASHRAE') +physicaliam.plot(label='physical') +plt.ylabel('modifier') +plt.xlabel('input angle (deg)') +plt.legend() + + +# ### Sandia Cell Temp correction + +# PV system efficiency can vary by up to 0.5% per degree C, so it's important to accurately model cell and module temperature. The ``sapm_celltemp`` function uses plane of array irradiance, ambient temperature, wind speed, and module and racking type to calculate cell and module temperatures. From King et. al. (2004): +# +# $$T_m = E e^{a+b*WS} + T_a$$ +# +# $$T_c = T_m + \frac{E}{E_0} \Delta T$$ +# +# The $a$, $b$, and $\Delta T$ parameters depend on the module and racking type. The default parameter set is ``open_rack_cell_glassback``. + +# ``sapm_celltemp`` works with either scalar or vector inputs, but always returns a pandas DataFrame. +# scalar inputs +pvsystem.sapm_celltemp(900, 5, 20) # irrad, wind, temp + +# vector inputs +times = pd.DatetimeIndex(start='2015-01-01', end='2015-01-02', freq='12H') +temps = pd.Series([0, 10, 5], index=times) +irrads = pd.Series([0, 500, 0], index=times) +winds = pd.Series([10, 5, 0], index=times) + +pvtemps = pvsystem.sapm_celltemp(irrads, winds, temps) +pvtemps.plot() + + +# Cell and module temperature as a function of wind speed. +wind = np.linspace(0,20,21) +temps = pd.DataFrame(pvsystem.sapm_celltemp(900, wind, 20), index=wind) + +temps.plot() +plt.legend() +plt.xlabel('wind speed (m/s)') +plt.ylabel('temperature (deg C)') + + +# Cell and module temperature as a function of ambient temperature. +atemp = np.linspace(-20,50,71) +temps = pvsystem.sapm_celltemp(900, 2, atemp).set_index(atemp) + +temps.plot() +plt.legend() +plt.xlabel('ambient temperature (deg C)') +plt.ylabel('temperature (deg C)') + + +# Cell and module temperature as a function of incident irradiance. +irrad = np.linspace(0,1000,101) +temps = pvsystem.sapm_celltemp(irrad, 2, 20).set_index(irrad) + +temps.plot() +plt.legend() +plt.xlabel('incident irradiance (W/m**2)') +plt.ylabel('temperature (deg C)') + + +# Cell and module temperature for different module and racking types. +models = ['open_rack_cell_glassback', + 'roof_mount_cell_glassback', + 'open_rack_cell_polymerback', + 'insulated_back_polymerback', + 'open_rack_polymer_thinfilm_steel', + '22x_concentrator_tracker'] + +temps = pd.DataFrame(index=['temp_cell','temp_module']) + +for model in models: + temps[model] = pd.Series(pvsystem.sapm_celltemp(1000, 5, 20, model=model).ix[0]) + +temps.T.plot(kind='bar') # try removing the transpose operation and replotting +plt.legend() +plt.ylabel('temperature (deg C)') + + +# ### snlinverter +inverters = pvsystem.retrieve_sam('sandiainverter') +inverters + +vdcs = pd.Series(np.linspace(0,50,51)) +idcs = pd.Series(np.linspace(0,11,110)) +pdcs = idcs * vdcs + +pacs = pvsystem.snlinverter(inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_'], vdcs, pdcs) +#pacs.plot() +plt.plot(pacs, pdcs) +plt.ylabel('ac power') +plt.xlabel('dc power') + + +# Need to put more effort into describing this function. + +# ### SAPM + +# The CEC module database. +cec_modules = pvsystem.retrieve_sam('cecmod') +cec_modules + +cecmodule = cec_modules.Example_Module +cecmodule + + +# The Sandia module database. +sandia_modules = pvsystem.retrieve_sam(name='SandiaMod') +sandia_modules + +sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_ +sandia_module + + +# Generate some irradiance data for modeling. +from pvlib import clearsky +from pvlib import irradiance +from pvlib import atmosphere +from pvlib.location import Location + +tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') +times = pd.date_range(start=datetime.datetime(2014,4,1), end=datetime.datetime(2014,4,2), freq='30s') +ephem_data = pvlib.solarposition.get_solarposition(times, tus) +irrad_data = clearsky.ineichen(times, tus) +#irrad_data.plot() + +aoi = irradiance.aoi(0, 0, ephem_data['apparent_zenith'], ephem_data['azimuth']) +#plt.figure() +#aoi.plot() + +am = atmosphere.relativeairmass(ephem_data['apparent_zenith']) + +# a hot, sunny spring day in the desert. +temps = pvsystem.sapm_celltemp(irrad_data['ghi'], 0, 30) + + +# Now we can run the module parameters and the irradiance data through the SAPM function. +sapm_1 = pvsystem.sapm(sandia_module, irrad_data['dni']*np.cos(np.radians(aoi)), + irrad_data['ghi'], temps['temp_cell'], am, aoi) +sapm_1.head() + +def plot_sapm(sapm_data): + """ + Makes a nice figure with the SAPM data. + + Parameters + ---------- + sapm_data : DataFrame + The output of ``pvsystem.sapm`` + """ + fig, axes = plt.subplots(2, 3, figsize=(16,10), sharex=False, sharey=False, squeeze=False) + plt.subplots_adjust(wspace=.2, hspace=.3) + + ax = axes[0,0] + sapm_data.filter(like='i_').plot(ax=ax) + ax.set_ylabel('Current (A)') + + ax = axes[0,1] + sapm_data.filter(like='v_').plot(ax=ax) + ax.set_ylabel('Voltage (V)') + + ax = axes[0,2] + sapm_data.filter(like='p_').plot(ax=ax) + ax.set_ylabel('Power (W)') + + ax = axes[1,0] + [ax.plot(sapm_data['effective_irradiance'], current, label=name) for name, current in + sapm_data.filter(like='i_').iteritems()] + ax.set_ylabel('Current (A)') + ax.set_xlabel('Effective Irradiance') + ax.legend(loc=2) + + ax = axes[1,1] + [ax.plot(sapm_data['effective_irradiance'], voltage, label=name) for name, voltage in + sapm_data.filter(like='v_').iteritems()] + ax.set_ylabel('Voltage (V)') + ax.set_xlabel('Effective Irradiance') + ax.legend(loc=4) + + ax = axes[1,2] + ax.plot(sapm_data['effective_irradiance'], sapm_data['p_mp'], label='p_mp') + ax.set_ylabel('Power (W)') + ax.set_xlabel('Effective Irradiance') + ax.legend(loc=2) + + # needed to show the time ticks + for ax in axes.flatten(): + for tk in ax.get_xticklabels(): + tk.set_visible(True) + +plot_sapm(sapm_1) + + +# For comparison, here's the SAPM for a sunny, windy, cold version of the same day. +temps = pvsystem.sapm_celltemp(irrad_data['ghi'], 10, 5) + +sapm_2 = pvsystem.sapm(sandia_module, irrad_data['dni']*np.cos(np.radians(aoi)), + irrad_data['dhi'], temps['temp_cell'], am, aoi) + +plot_sapm(sapm_2) + +sapm_1['p_mp'].plot(label='30 C, 0 m/s') +sapm_2['p_mp'].plot(label=' 5 C, 10 m/s') +plt.legend() +plt.ylabel('Pmp') +plt.title('Comparison of a hot, calm day and a cold, windy day') + + +# #### SAPM IV curves + +# The IV curve function only calculates the 5 points of the SAPM. We will add arbitrary points in a future release, but for now we just interpolate between the 5 SAPM points. +import warnings +warnings.simplefilter('ignore', np.RankWarning) + +def sapm_to_ivframe(sapm_row): + pnt = sapm_row.T.ix[:,0] + + ivframe = {'Isc': (pnt['i_sc'], 0), + 'Pmp': (pnt['i_mp'], pnt['v_mp']), + 'Ix': (pnt['i_x'], 0.5*pnt['v_oc']), + 'Ixx': (pnt['i_xx'], 0.5*(pnt['v_oc']+pnt['v_mp'])), + 'Voc': (0, pnt['v_oc'])} + ivframe = pd.DataFrame(ivframe, index=['current', 'voltage']).T + ivframe = ivframe.sort('voltage') + + return ivframe + +def ivframe_to_ivcurve(ivframe, points=100): + ivfit_coefs = np.polyfit(ivframe['voltage'], ivframe['current'], 30) + fit_voltages = np.linspace(0, ivframe.ix['Voc', 'voltage'], points) + fit_currents = np.polyval(ivfit_coefs, fit_voltages) + + return fit_voltages, fit_currents + +sapm_to_ivframe(sapm_1['2014-04-01 10:00:00']) + +times = ['2014-04-01 07:00:00', '2014-04-01 08:00:00', '2014-04-01 09:00:00', + '2014-04-01 10:00:00', '2014-04-01 11:00:00', '2014-04-01 12:00:00'] +times.reverse() + +fig, ax = plt.subplots(1, 1, figsize=(12,8)) + +for time in times: + ivframe = sapm_to_ivframe(sapm_1[time]) + + fit_voltages, fit_currents = ivframe_to_ivcurve(ivframe) + + ax.plot(fit_voltages, fit_currents, label=time) + ax.plot(ivframe['voltage'], ivframe['current'], 'ko') + +ax.set_xlabel('Voltage (V)') +ax.set_ylabel('Current (A)') +ax.set_ylim(0, None) +ax.set_title('IV curves at multiple times') +ax.legend() + + +# ### desoto + +# The same data run through the desoto model. +photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = ( + pvsystem.calcparams_desoto(irrad_data.ghi, + temp_cell=temps['temp_cell'], + alpha_isc=cecmodule['alpha_sc'], + module_parameters=cecmodule, + EgRef=1.121, + dEgdT=-0.0002677) ) + +photocurrent.plot() +plt.ylabel('Light current I_L (A)') + +saturation_current.plot() +plt.ylabel('Saturation current I_0 (A)') + +resistance_series + +resistance_shunt.plot() +plt.ylabel('Shunt resistance (ohms)') +plt.ylim(0,100) + +nNsVth.plot() +plt.ylabel('nNsVth') + + +# ### Single diode model +single_diode_out = pvsystem.singlediode(cecmodule, photocurrent, saturation_current, + resistance_series, resistance_shunt, nNsVth) +single_diode_out + +single_diode_out['i_sc'].plot() + +single_diode_out['v_oc'].plot() + +single_diode_out['p_mp'].plot() + + + diff --git a/docs/tutorials/scripts/solarposition.py b/docs/tutorials/scripts/solarposition.py new file mode 100644 index 0000000000..1e4b2cbc2f --- /dev/null +++ b/docs/tutorials/scripts/solarposition.py @@ -0,0 +1,267 @@ +# coding: utf-8 + +# # ``solarposition.py`` tutorial +# +# This tutorial needs your help to make it better! +# +# Table of contents: +# 1. [Setup](#Setup) +# 2. [SPA output](#SPA-output) +# 2. [Speed tests](#Speed-tests) +# +# This tutorial has been tested against the following package versions: +# * pvlib 0.2.0 +# * Python 2.7.10 +# * IPython 3.2 +# * Pandas 0.16.2 +# +# It should work with other Python and Pandas versions. It requires pvlib > 0.2.0 and IPython > 3.0. +# +# Authors: +# * Will Holmgren (@wholmgren), University of Arizona. July 2014, July 2015. + +# ## Setup +import datetime + +# scientific python add-ons +import numpy as np +import pandas as pd + +# plotting stuff +# first line makes the plots appear in the notebook +get_ipython().magic('matplotlib inline') +import matplotlib.pyplot as plt +# seaborn makes your plots look better +try: + import seaborn as sns + sns.set(rc={"figure.figsize": (12, 6)}) +except ImportError: + print('We suggest you install seaborn using conda or pip and rerun this cell') + +# finally, we import the pvlib library +import pvlib + +import pvlib +from pvlib.location import Location + + +# ## SPA output +tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') +print(tus) +golden = Location(39.742476, -105.1786, 'America/Denver', 1830, 'Golden') +print(golden) +golden_mst = Location(39.742476, -105.1786, 'MST', 1830, 'Golden MST') +print(golden_mst) +berlin = Location(52.5167, 13.3833, 'Europe/Berlin', 34, 'Berlin') +print(berlin) + +times = pd.date_range(start=datetime.datetime(2014,6,23), end=datetime.datetime(2014,6,24), freq='1Min') +times_loc = times.tz_localize(tus.pytz) + +times + +pyephemout = pvlib.solarposition.pyephem(times, tus) +spaout = pvlib.solarposition.spa_python(times, tus) + +reload(pvlib.solarposition) +pyephemout = pvlib.solarposition.pyephem(times_loc, tus) +spaout = pvlib.solarposition.spa_python(times_loc, tus) + +pyephemout['elevation'].plot(label='pyephem') +pyephemout['apparent_elevation'].plot(label='pyephem apparent') +spaout['elevation'].plot(label='spa') +plt.legend(ncol=2) +plt.title('elevation') + +print('pyephem') +print(pyephemout.head()) +print('spa') +print(spaout.head()) + +plt.figure() +pyephemout['elevation'].plot(label='pyephem') +spaout['elevation'].plot(label='spa') +(pyephemout['elevation'] - spaout['elevation']).plot(label='diff') +plt.legend(ncol=3) +plt.title('elevation') + +plt.figure() +pyephemout['apparent_elevation'].plot(label='pyephem apparent') +spaout['elevation'].plot(label='spa') +(pyephemout['apparent_elevation'] - spaout['elevation']).plot(label='diff') +plt.legend(ncol=3) +plt.title('elevation') + +plt.figure() +pyephemout['apparent_zenith'].plot(label='pyephem apparent') +spaout['zenith'].plot(label='spa') +(pyephemout['apparent_zenith'] - spaout['zenith']).plot(label='diff') +plt.legend(ncol=3) +plt.title('zenith') + +plt.figure() +pyephemout['apparent_azimuth'].plot(label='pyephem apparent') +spaout['azimuth'].plot(label='spa') +(pyephemout['apparent_azimuth'] - spaout['azimuth']).plot(label='diff') +plt.legend(ncol=3) +plt.title('azimuth') + +reload(pvlib.solarposition) +pyephemout = pvlib.solarposition.pyephem(times, tus) +spaout = pvlib.solarposition.spa_python(times, tus) + +pyephemout['elevation'].plot(label='pyephem') +pyephemout['apparent_elevation'].plot(label='pyephem apparent') +spaout['elevation'].plot(label='spa') +plt.legend(ncol=3) +plt.title('elevation') + +print('pyephem') +print(pyephemout.head()) +print('spa') +print(spaout.head()) + +reload(pvlib.solarposition) +pyephemout = pvlib.solarposition.pyephem(times, golden) +spaout = pvlib.solarposition.spa_python(times, golden) + +pyephemout['elevation'].plot(label='pyephem') +pyephemout['apparent_elevation'].plot(label='pyephem apparent') +spaout['elevation'].plot(label='spa') +plt.legend(ncol=2) +plt.title('elevation') + +print('pyephem') +print(pyephemout.head()) +print('spa') +print(spaout.head()) + +pyephemout = pvlib.solarposition.pyephem(times, golden) +ephemout = pvlib.solarposition.ephemeris(times, golden) + +pyephemout['elevation'].plot(label='pyephem') +pyephemout['apparent_elevation'].plot(label='pyephem apparent') +ephemout['elevation'].plot(label='ephem') +plt.legend(ncol=2) +plt.title('elevation') + +print('pyephem') +print(pyephemout.head()) +print('ephem') +print(ephemout.head()) + +loc = berlin + +pyephemout = pvlib.solarposition.pyephem(times, loc) +ephemout = pvlib.solarposition.ephemeris(times, loc) + +pyephemout['elevation'].plot(label='pyephem') +pyephemout['apparent_elevation'].plot(label='pyephem apparent') +ephemout['elevation'].plot(label='ephem') +ephemout['apparent_elevation'].plot(label='ephem apparent') +plt.legend(ncol=2) +plt.title('elevation') + +print('pyephem') +print(pyephemout.head()) +print('ephem') +print(ephemout.head()) + +pyephemout['elevation'].plot(label='pyephem') +pyephemout['apparent_elevation'].plot(label='pyephem apparent') +ephemout['elevation'].plot(label='ephem') +ephemout['apparent_elevation'].plot(label='ephem apparent') +plt.legend(ncol=2) +plt.title('elevation') +plt.xlim(pd.Timestamp('2015-06-28 03:00:00+02:00'), pd.Timestamp('2015-06-28 06:00:00+02:00')) +plt.ylim(-10,10) + +loc = berlin +times = pd.DatetimeIndex(start=datetime.date(2015,3,28), end=datetime.date(2015,3,29), freq='5min') + +pyephemout = pvlib.solarposition.pyephem(times, loc) +ephemout = pvlib.solarposition.ephemeris(times, loc) + +pyephemout['elevation'].plot(label='pyephem') +pyephemout['apparent_elevation'].plot(label='pyephem apparent') +ephemout['elevation'].plot(label='ephem') +plt.legend(ncol=2) +plt.title('elevation') + +plt.figure() +pyephemout['azimuth'].plot(label='pyephem') +ephemout['azimuth'].plot(label='ephem') +plt.legend(ncol=2) +plt.title('azimuth') + +print('pyephem') +print(pyephemout.head()) +print('ephem') +print(ephemout.head()) + +loc = berlin +times = pd.DatetimeIndex(start=datetime.date(2015,3,30), end=datetime.date(2015,3,31), freq='5min') + +pyephemout = pvlib.solarposition.pyephem(times, loc) +ephemout = pvlib.solarposition.ephemeris(times, loc) + +pyephemout['elevation'].plot(label='pyephem') +pyephemout['apparent_elevation'].plot(label='pyephem apparent') +ephemout['elevation'].plot(label='ephem') +plt.legend(ncol=2) +plt.title('elevation') + +plt.figure() +pyephemout['azimuth'].plot(label='pyephem') +ephemout['azimuth'].plot(label='ephem') +plt.legend(ncol=2) +plt.title('azimuth') + +print('pyephem') +print(pyephemout.head()) +print('ephem') +print(ephemout.head()) + +loc = berlin +times = pd.DatetimeIndex(start=datetime.date(2015,6,28), end=datetime.date(2015,6,29), freq='5min') + +pyephemout = pvlib.solarposition.pyephem(times, loc) +ephemout = pvlib.solarposition.ephemeris(times, loc) + +pyephemout['elevation'].plot(label='pyephem') +pyephemout['apparent_elevation'].plot(label='pyephem apparent') +ephemout['elevation'].plot(label='ephem') +plt.legend(ncol=2) +plt.title('elevation') + +plt.figure() +pyephemout['azimuth'].plot(label='pyephem') +ephemout['azimuth'].plot(label='ephem') +plt.legend(ncol=2) +plt.title('azimuth') + +print('pyephem') +print(pyephemout.head()) +print('ephem') +print(ephemout.head()) + + +# ## Speed tests +get_ipython().run_cell_magic('timeit', '', '\npyephemout = pvlib.solarposition.pyephem(times, loc)\n#ephemout = pvlib.solarposition.ephemeris(times, loc)') + +get_ipython().run_cell_magic('timeit', '', '\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.ephemeris(times, loc)') + +get_ipython().run_cell_magic('timeit', '', "\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times, loc, method='nrel_numpy')") + + +# This numba test will only work properly if you have installed numba. +get_ipython().run_cell_magic('timeit', '', "\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times, loc, method='nrel_numba')") + + +# The numba calculation takes a long time the first time that it's run because it uses LLVM to compile the Python code to machine code. After that it's about 4-10 times faster depending on your machine. You can pass a ``numthreads`` argument to this function. The optimum ``numthreads`` depends on your machine and is equal to 4 by default. +get_ipython().run_cell_magic('timeit', '', "\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times, loc, method='nrel_numba', numthreads=16)") + +get_ipython().run_cell_magic('timeit', '', "\nephemout = pvlib.solarposition.spa_python(times, loc, how='numba', numthreads=16)") + + + diff --git a/docs/tutorials/scripts/tmy.py b/docs/tutorials/scripts/tmy.py new file mode 100644 index 0000000000..a6dd520fc8 --- /dev/null +++ b/docs/tutorials/scripts/tmy.py @@ -0,0 +1,72 @@ +# coding: utf-8 + +# # TMY tutorial +# +# This tutorial shows how to use the ``pvlib.tmy`` module to read data from TMY2 and TMY3 files. +# +# This tutorial has been tested against the following package versions: +# * pvlib 0.2.1 +# * Python 2.7.10 +# * IPython 3.2 +# * pandas 0.16.2 +# +# Authors: +# * Will Holmgren (@wholmgren), University of Arizona. July 2014, July 2015. + +# ## Import modules +# built in python modules +import datetime +import os +import inspect + +# python add-ons +import numpy as np +import pandas as pd + +# plotting libraries +get_ipython().magic('matplotlib inline') +import matplotlib.pyplot as plt +try: + import seaborn as sns +except ImportError: + pass + +import pvlib + + +# pvlib comes packaged with a TMY2 and a TMY3 data file. +# Find the absolute file path to your pvlib installation +pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) + + +# Import the TMY data using the functions in the ``pvlib.tmy`` module. +tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv')) +tmy2_data, tmy2_metadata = pvlib.tmy.readtmy2(os.path.join(pvlib_abspath, 'data', '12839.tm2')) + + +# Print the TMY3 metadata and the first 5 lines of the data. +print(tmy3_metadata) +tmy3_data.head(5) + +tmy3_data['GHI'].plot() + + +# The TMY readers have an optional argument to coerce the year to a single value. +tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv'), coerce_year=1987) + +tmy3_data['GHI'].plot() + + +# Here's the TMY2 data. +print(tmy2_metadata) +print(tmy2_data.head()) + + +# Finally, the TMY readers can access TMY files directly from the NREL website. +tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3('http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/data/tmy3/722740TYA.CSV', coerce_year=2015) + +tmy3_data['GHI'].plot(figsize=(12,6)) +plt.title('Tucson TMY GHI') + + + diff --git a/docs/tutorials/scripts/tmy_and_diffuse_irrad_models.py b/docs/tutorials/scripts/tmy_and_diffuse_irrad_models.py new file mode 100644 index 0000000000..3c50900287 --- /dev/null +++ b/docs/tutorials/scripts/tmy_and_diffuse_irrad_models.py @@ -0,0 +1,189 @@ +# coding: utf-8 + +# # TMY data and diffuse irradiance models +# +# This tutorial explores using TMY data as inputs to different plane of array diffuse irradiance models. +# +# This tutorial has been tested against the following package versions: +# * pvlib 0.2.0 +# * Python 2.7.10 +# * IPython 3.2 +# * pandas 0.16.2 +# +# It should work with other Python and Pandas versions. It requires pvlib > 0.2.0 and IPython > 3.0. +# +# Authors: +# * Rob Andrews (@Calama-Consulting), Heliolytics, June 2014 +# * Will Holmgren (@wholmgren), University of Arizona, July 2015 + +# ## Setup + +# See the ``tmy_to_power`` tutorial for more detailed explanations for the initial setup +# built-in python modules +import os +import inspect + +# scientific python add-ons +import numpy as np +import pandas as pd + +# plotting stuff +# first line makes the plots appear in the notebook +get_ipython().magic('matplotlib inline') +import matplotlib.pyplot as plt +# seaborn makes your plots look better +try: + import seaborn as sns + sns.set(rc={"figure.figsize": (12, 6)}) +except ImportError: + print('We suggest you install seaborn using conda or pip and rerun this cell') + +# finally, we import the pvlib library +import pvlib + +# Find the absolute file path to your pvlib installation +pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) + +# absolute path to a data file +datapath = os.path.join(pvlib_abspath, 'data', '703165TY.csv') + +# read tmy data with year values coerced to a single year +tmy_data, meta = pvlib.tmy.readtmy3(datapath, coerce_year=2015) +tmy_data.index.name = 'Time' + +# TMY data seems to be given as hourly data with time stamp at the end +# shift the index 30 Minutes back for calculation of sun positions +tmy_data = tmy_data.shift(freq='-30Min') + +tmy_data.GHI.plot() +plt.ylabel('Irradiance (W/m**2)') + +tmy_data.DHI.plot() +plt.ylabel('Irradiance (W/m**2)') + +surface_tilt = 30 +surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention +albedo = 0.2 + +# create pvlib Location object based on meta data +sand_point = pvlib.location.Location(meta['latitude'], meta['longitude'], tz='US/Alaska', + altitude=meta['altitude'], name=meta['Name'].replace('"','')) +print(sand_point) + +solpos = pvlib.solarposition.get_solarposition(tmy_data.index, sand_point) + +solpos.plot() + +# the extraradiation function returns a simple numpy array +# instead of a nice pandas series. We will change this +# in a future version +dni_extra = pvlib.irradiance.extraradiation(tmy_data.index) +dni_extra = pd.Series(dni_extra, index=tmy_data.index) + +dni_extra.plot() +plt.ylabel('Extra terrestrial radiation (W/m**2)') + +airmass = pvlib.atmosphere.relativeairmass(solpos['apparent_zenith']) + +airmass.plot() +plt.ylabel('Airmass') + + +# ## Diffuse irradiance models + +# Make an empty pandas DataFrame for the results. +diffuse_irrad = pd.DataFrame(index=tmy_data.index) + +models = ['Perez', 'Hay-Davies', 'Isotropic', 'King', 'Klucher', 'Reindl'] + + +# ### Perez +diffuse_irrad['Perez'] = pvlib.irradiance.perez(surface_tilt, + surface_azimuth, + dhi=tmy_data.DHI, + dni=tmy_data.DNI, + dni_extra=dni_extra, + solar_zenith=solpos.apparent_zenith, + solar_azimuth=solpos.azimuth, + airmass=airmass) + + +# ### HayDavies +diffuse_irrad['Hay-Davies'] = pvlib.irradiance.haydavies(surface_tilt, + surface_azimuth, + dhi=tmy_data.DHI, + dni=tmy_data.DNI, + dni_extra=dni_extra, + solar_zenith=solpos.apparent_zenith, + solar_azimuth=solpos.azimuth) + + +# ### Isotropic +diffuse_irrad['Isotropic'] = pvlib.irradiance.isotropic(surface_tilt, + dhi=tmy_data.DHI) + + +# ### King Diffuse model +diffuse_irrad['King'] = pvlib.irradiance.king(surface_tilt, + dhi=tmy_data.DHI, + ghi=tmy_data.GHI, + solar_zenith=solpos.apparent_zenith) + + +# ### Klucher Model +diffuse_irrad['Klucher'] = pvlib.irradiance.klucher(surface_tilt, surface_azimuth, + dhi=tmy_data.DHI, + ghi=tmy_data.GHI, + solar_zenith=solpos.apparent_zenith, + solar_azimuth=solpos.azimuth) + + +# ### Reindl +diffuse_irrad['Reindl'] = pvlib.irradiance.reindl(surface_tilt, + surface_azimuth, + dhi=tmy_data.DHI, + dni=tmy_data.DNI, + ghi=tmy_data.GHI, + dni_extra=dni_extra, + solar_zenith=solpos.apparent_zenith, + solar_azimuth=solpos.azimuth) + + +# Calculate yearly, monthly, daily sums. +yearly = diffuse_irrad.resample('A', how='sum').dropna().squeeze() / 1000.0 # kWh +monthly = diffuse_irrad.resample('M', how='sum', kind='period') / 1000.0 +daily = diffuse_irrad.resample('D', how='sum') / 1000.0 + + +# ## Plot Results +ax = diffuse_irrad.plot(title='In-plane diffuse irradiance', alpha=.75, lw=1) +ax.set_ylim(0, 800) +ylabel = ax.set_ylabel('Diffuse Irradiance [W]') +plt.legend() + +diffuse_irrad.describe() + +diffuse_irrad.dropna().plot(kind='density') + + +# Daily +ax_daily = daily.tz_convert('UTC').plot(title='Daily diffuse irradiation') +ylabel = ax_daily.set_ylabel('Irradiation [kWh]') + + +# Monthly +ax_monthly = monthly.plot(title='Monthly average diffuse irradiation', kind='bar') +ylabel = ax_monthly.set_ylabel('Irradiation [kWh]') + + +# Yearly +yearly.plot(kind='barh') + + +# Compute the mean deviation from measured for each model and display as a function of the model +mean_yearly = yearly.mean() +yearly_mean_deviation = (yearly - mean_yearly) / yearly * 100.0 +yearly_mean_deviation.plot(kind='bar') + + + diff --git a/docs/tutorials/scripts/tmy_to_power.py b/docs/tutorials/scripts/tmy_to_power.py new file mode 100644 index 0000000000..5c0c0a1ab6 --- /dev/null +++ b/docs/tutorials/scripts/tmy_to_power.py @@ -0,0 +1,417 @@ +# coding: utf-8 + +# # TMY to Power Tutorial +# +# This tutorial will walk through the process of going from TMY data to AC power using the SAPM. +# +# Table of contents: +# 1. [Setup](#Setup) +# 2. [Load TMY data](#Load-TMY-data) +# 2. [Calculate modeling intermediates](#Calculate-modeling-intermediates) +# 2. [DC power using SAPM](#DC-power-using-SAPM) +# 2. [AC power using SAPM](#AC-power-using-SAPM) +# +# This tutorial has been tested against the following package versions: +# * pvlib 0.2.0 +# * Python 2.7.10 +# * IPython 3.2 +# * pandas 0.16.2 +# +# It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0. +# +# Authors: +# * Will Holmgren (@wholmgren), University of Arizona, July 2015 +# * Rob Andrews (@Calama-Consulting), Heliolytics, June 2014 + +# ## Setup + +# These are just your standard interactive scientific python imports that you'll get very used to using. +# built-in python modules +import os +import inspect + +# scientific python add-ons +import numpy as np +import pandas as pd + +# plotting stuff +# first line makes the plots appear in the notebook +get_ipython().magic('matplotlib inline') +import matplotlib.pyplot as plt +import matplotlib as mpl +# seaborn makes your plots look better +try: + import seaborn as sns + sns.set(rc={"figure.figsize": (12, 6)}) + sns.set_color_codes() +except ImportError: + print('We suggest you install seaborn using conda or pip and rerun this cell') + +# finally, we import the pvlib library +import pvlib + + +# ## Load TMY data + +# pvlib comes with a couple of TMY files, and we'll use one of them for simplicity. You could also load a file from disk, or specify a url. See this NREL website for a list of TMY files: +# +# http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/by_state_and_city.html +# Find the absolute file path to your pvlib installation +pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) + +# absolute path to a data file +datapath = os.path.join(pvlib_abspath, 'data', '703165TY.csv') + +# read tmy data with year values coerced to a single year +tmy_data, meta = pvlib.tmy.readtmy3(datapath, coerce_year=2015) +tmy_data.index.name = 'Time' + +# TMY data seems to be given as hourly data with time stamp at the end +# shift the index 30 Minutes back for calculation of sun positions +tmy_data = tmy_data.shift(freq='-30Min') + + +# The file handling above looks complicated because we're trying to account for the many different ways that people will run this notebook on their systems. You can just put a simple string path into the ``readtmy3`` function if you know where the file is. + +# Let's look at the imported version of the TMY file. +tmy_data.head() + + +# This is a ``pandas DataFrame`` object. It has a lot of great properties that are beyond the scope of our tutorials. + +# Plot the GHI data from the TMY file +tmy_data['GHI'].plot() +plt.ylabel('Irradiance (W/m**2)') + + +# ## Calculate modeling intermediates + +# Before we can calculate power for all times in the TMY file, we will need to calculate: +# * solar position +# * extra terrestrial radiation +# * airmass +# * angle of incidence +# * POA sky and ground diffuse radiation +# * cell and module temperatures + +# First, define some PV system parameters. +surface_tilt = 30 +surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention +albedo = 0.2 + +# create pvlib Location object based on meta data +sand_point = pvlib.location.Location(meta['latitude'], meta['longitude'], tz='US/Alaska', + altitude=meta['altitude'], name=meta['Name'].replace('"','')) +print(sand_point) + + +# ### Solar position + +# Calculate the solar position for all times in the TMY file. +# +# The default solar position algorithm is based on Reda and Andreas (2004). Our implementation is pretty fast, but you can make it even faster if you install [``numba``](http://numba.pydata.org/#installing) and use add ``method='nrel_numba'`` to the function call below. +solpos = pvlib.solarposition.get_solarposition(tmy_data.index, sand_point) + +solpos.plot() + + +# The funny looking jump in the azimuth is just due to the coarse time sampling in the TMY file. + +# ### DNI ET +# +# Calculate extra terrestrial radiation. This is needed for many plane of array diffuse irradiance models. +# the extraradiation function returns a simple numpy array +# instead of a nice pandas series. We will change this +# in a future version +dni_extra = pvlib.irradiance.extraradiation(tmy_data.index) +dni_extra = pd.Series(dni_extra, index=tmy_data.index) + +dni_extra.plot() +plt.ylabel('Extra terrestrial radiation (W/m**2)') + + +# ### Airmass +# +# Calculate airmass. Lots of model options here, see the ``atmosphere`` module tutorial for more details. +airmass = pvlib.atmosphere.relativeairmass(solpos['apparent_zenith']) + +airmass.plot() +plt.ylabel('Airmass') + + +# The funny appearance is due to aliasing and setting invalid numbers equal to ``NaN``. Replot just a day or two and you'll see that the numbers are right. + +# ### POA sky diffuse + +# Use the Hay Davies model to calculate the plane of array diffuse sky radiation. See the ``irradiance`` module tutorial for comparisons of different models. +poa_sky_diffuse = pvlib.irradiance.haydavies(surface_tilt, surface_azimuth, + tmy_data['DHI'], tmy_data['DNI'], dni_extra, + solpos['apparent_zenith'], solpos['azimuth']) + +poa_sky_diffuse.plot() +plt.ylabel('Irradiance (W/m**2)') + + +# ### POA ground diffuse +# +# Calculate ground diffuse. We specified the albedo above. You could have also provided a string to the ``surface_type`` keyword argument. +poa_ground_diffuse = pvlib.irradiance.grounddiffuse(surface_tilt, tmy_data['GHI'], albedo=albedo) + +poa_ground_diffuse.plot() +plt.ylabel('Irradiance (W/m**2)') + + +# ### AOI +# +# Calculate AOI +aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth, solpos['apparent_zenith'], solpos['azimuth']) + +aoi.plot() +plt.ylabel('Angle of incidence (deg)') + + +# Note that AOI has values greater than 90 deg. This is ok. + +# ### POA total +# +# Calculate POA irradiance +poa_irrad = pvlib.irradiance.globalinplane(aoi, tmy_data['DNI'], poa_sky_diffuse, poa_ground_diffuse) + +poa_irrad.plot() +plt.ylabel('Irradiance (W/m**2)') +plt.title('POA Irradiance') + + +# ### Cell and module temperature +# +# Calculate pv cell and module temperature +pvtemps = pvlib.pvsystem.sapm_celltemp(poa_irrad['poa_global'], tmy_data['Wspd'], tmy_data['DryBulb']) + +pvtemps.plot() +plt.ylabel('Temperature (C)') + + +# ## DC power using SAPM + +# Get module data from the web. +sandia_modules = pvlib.pvsystem.retrieve_sam(name='SandiaMod') + + +# Choose a particular module +sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_ +sandia_module + + +# Run the SAPM using the parameters we calculated above. +sapm_out = pvlib.pvsystem.sapm(sandia_module, poa_irrad.poa_direct, poa_irrad.poa_diffuse, + pvtemps['temp_cell'], airmass, aoi) +print(sapm_out.head()) + +sapm_out[['p_mp']].plot() +plt.ylabel('DC Power (W)') + + +# ## DC power using single diode +cec_modules = pvlib.pvsystem.retrieve_sam(name='CECMod') +cec_module = cec_modules.Canadian_Solar_CS5P_220M + +photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = ( + pvlib.pvsystem.calcparams_desoto(poa_irrad.poa_global, + temp_cell=pvtemps['temp_cell'], + alpha_isc=cec_module['alpha_sc'], + module_parameters=cec_module, + EgRef=1.121, + dEgdT=-0.0002677) ) + +single_diode_out = pvlib.pvsystem.singlediode(cec_module, photocurrent, saturation_current, + resistance_series, resistance_shunt, nNsVth) + +single_diode_out[['p_mp']].plot() +plt.ylabel('DC Power (W)') + + +# ## AC power using SAPM + +# Get the inverter database from the web +sapm_inverters = pvlib.pvsystem.retrieve_sam('sandiainverter') + + +# Choose a particular inverter +sapm_inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_'] +sapm_inverter + +p_acs = pd.DataFrame() +p_acs['sapm'] = pvlib.pvsystem.snlinverter(sapm_inverter, sapm_out.v_mp, sapm_out.p_mp) +p_acs['sd'] = pvlib.pvsystem.snlinverter(sapm_inverter, single_diode_out.v_mp, single_diode_out.p_mp) + +p_acs.plot() +plt.ylabel('AC Power (W)') + +diff = p_acs['sapm'] - p_acs['sd'] +diff.plot() +plt.ylabel('SAPM - SD Power (W)') + + +# Plot just a few days. +p_acs['2015-07-05':'2015-07-06'].plot() + + +# Some statistics on the AC power +p_acs.describe() + +p_acs.sum() + +# create data for a y=x line +p_ac_max = p_acs.max().max() +yxline = np.arange(0, p_ac_max) + +fig = plt.figure(figsize=(12,12)) +ax = fig.add_subplot(111, aspect='equal') +sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=poa_irrad.poa_global, alpha=1, cmap=mpl.cm.YlGnBu_r) +ax.plot(yxline, yxline, 'r', linewidth=3) +ax.set_xlim(0, None) +ax.set_ylim(0, None) +ax.set_xlabel('Single Diode model') +ax.set_ylabel('Sandia model') +fig.colorbar(sc, label='POA Global (W/m**2)') + + +# We can change the value of color value ``c`` to see the sensitivity of model accuracy to measured meterological conditions. It can be useful to define a simple plotting function for this kind of exploratory analysis. +def sapm_sd_scatter(c_data, label=None, **kwargs): + """Display a scatter plot of SAPM p_ac vs. single diode p_ac. + + You need to re-execute this cell if you re-run the p_ac calculation. + + Parameters + ---------- + c_data : array-like + Determines the color of each point on the scatter plot. + Must be same length as p_acs. + + kwargs passed to ``scatter``. + + Returns + ------- + tuple of fig, ax objects + """ + + fig = plt.figure(figsize=(12,12)) + ax = fig.add_subplot(111, aspect='equal') + sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=c_data, alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) + ax.plot(yxline, yxline, 'r', linewidth=3) + ax.set_xlim(0, None) + ax.set_ylim(0, None) + ax.set_xlabel('Single diode model power (W)') + ax.set_ylabel('Sandia model power (W)') + fig.colorbar(sc, label='{}'.format(label), shrink=0.75) + + return fig, ax + +sapm_sd_scatter(tmy_data.DryBulb, label='Temperature (deg C)') + +sapm_sd_scatter(tmy_data.DNI, label='DNI (W/m**2)') + +sapm_sd_scatter(tmy_data.AOD, label='AOD') + +sapm_sd_scatter(tmy_data.Wspd, label='Wind speed', vmax=10) + + +# Notice the use of the ``vmax`` keyword argument in the above example. The ``**kwargs`` pattern allows us to easily pass non-specified arguments to nested functions. +def sapm_other_scatter(c_data, x_data, clabel=None, xlabel=None, aspect_equal=False, **kwargs): + """Display a scatter plot of SAPM p_ac vs. something else. + + You need to re-execute this cell if you re-run the p_ac calculation. + + Parameters + ---------- + c_data : array-like + Determines the color of each point on the scatter plot. + Must be same length as p_acs. + x_data : array-like + + kwargs passed to ``scatter``. + + Returns + ------- + tuple of fig, ax objects + """ + + fig = plt.figure(figsize=(12,12)) + + if aspect_equal: + ax = fig.add_subplot(111, aspect='equal') + else: + ax = fig.add_subplot(111) + sc = ax.scatter(x_data, p_acs['sapm'], c=c_data, alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) + ax.set_xlim(0, None) + ax.set_ylim(0, None) + ax.set_xlabel('{}'.format(xlabel)) + ax.set_ylabel('Sandia model power (W)') + fig.colorbar(sc, label='{}'.format(clabel), shrink=0.75) + + return fig, ax + +sapm_other_scatter(tmy_data.DryBulb, tmy_data.GHI, clabel='Temperature (deg C)', xlabel='GHI (W/m**2)') + + +# Next, we will assume that the SAPM model is representative of the real world performance so that we can use scipy's optimization routine to derive simulated PVUSA coefficients. You will need to install scipy to run these functions. +# +# Here's one PVUSA reference: +# +# http://www.nrel.gov/docs/fy09osti/45376.pdf +# +def pvusa(pvusa_data, a, b, c, d): + """ + Calculates system power according to the PVUSA equation + + P = I * (a + b*I + c*W + d*T) + + where + P is the output power, + I is the plane of array irradiance, + W is the wind speed, and + T is the temperature + + Parameters + ---------- + pvusa_data : pd.DataFrame + Must contain the columns 'I', 'W', and 'T' + a : float + I coefficient + b : float + I*I coefficient + c : float + I*W coefficient + d : float + I*T coefficient + + Returns + ------- + power : pd.Series + Power calculated using the PVUSA model. + """ + return pvusa_data['I'] * (a + b*pvusa_data['I'] + c*pvusa_data['W'] + d*pvusa_data['T']) + +from scipy import optimize + +pvusa_data = pd.DataFrame() +pvusa_data['I'] = poa_irrad.poa_global +pvusa_data['W'] = tmy_data.Wspd +pvusa_data['T'] = tmy_data.DryBulb + +popt, pcov = optimize.curve_fit(pvusa, pvusa_data.dropna(), p_acs.sapm.values, p0=(.0001,0.0001,.001,.001)) +print('optimized coefs:\n{}'.format(popt)) +print('covariances:\n{}'.format(pcov)) + +power_pvusa = pvusa(pvusa_data, *popt) + +fig, ax = sapm_other_scatter(tmy_data.DryBulb, power_pvusa, clabel='Temperature (deg C)', + aspect_equal=True, xlabel='PVUSA (W)') + +maxmax = max(ax.get_xlim()[1], ax.get_ylim()[1]) +ax.set_ylim(None, maxmax) +ax.set_xlim(None, maxmax) +ax.plot(np.arange(maxmax), np.arange(maxmax), 'r') + + + diff --git a/docs/tutorials/scripts/tracking.py b/docs/tutorials/scripts/tracking.py new file mode 100644 index 0000000000..5b3b0c2304 --- /dev/null +++ b/docs/tutorials/scripts/tracking.py @@ -0,0 +1,951 @@ +# coding: utf-8 + +# #Tracking + +# This tutorial introduces the ``pvlib.tracking`` module. This module currently only contains one function, ``tracking.singleaxis``, but we hope to add dual axis tracking support in the future. +# +# The ``tracking.singleaxis`` function is a port of the PVLIB MATLAB file ``pvl_singleaxis.m``. The algorithm is based on [Lorenzo et al, *Tracking and back-tracking*, Prog. in Photovoltaics: Research and Applications, **19**, 747-753 (2011)](http://dx.doi.org/10.1002/pip.1085). Most of the Python and MATLAB algorithms are identical except for name changes to conform to the PEP8 Python style guide. There are few spots, noteably in the calculation of [``surface_azimuth``](#Surface-tilt-and-azimuth), that our implementation differs from the MATLAB implementation. +# +# Table of contents: +# 1. [Standard Python and pvlib setup](#Setup). +# 2. [Walk through each step of the single axis tracking algorithm](#Single-axis-tracker-algorithm). +# 3. [Use the ``tracking.singleaxis`` function to explore the impacts of tracker tilt, tracker azimuth, and backtracking](#tracking.singleaxis-examples). +# +# This tutorial has been tested against the following package versions: +# * pvlib 0.2.0 +# * Python 2.7.10 +# * IPython 3.2 +# * Pandas 0.16.2 +# +# It should work with other Python and Pandas versions. It requires pvlib > 0.2.0 and IPython > 3.0. +# +# This tutorial was written by +# * Will Holmgren ([@wholmgren](http://wholmgren.github.io)), University of Arizona. March, 2015, July 2015. +# * Some of the text is based on the comments in ``pvl_singleaxis.m``, presumably written by the PVLIB_MATLAB team at Sandia National Laboratory. + +# ## Setup + +# Standard scientific Python imports. +# plotting modules +get_ipython().magic('matplotlib inline') +import matplotlib.pyplot as plt +try: + import seaborn as sns + sns.set(rc={"figure.figsize": (12, 6)}) +except ImportError: + print('We suggest you install seaborn using conda or pip and rerun this cell') + +# built in python modules +import datetime + +# python add-ons +import numpy as np +import pandas as pd + +import pvlib +from pvlib.tools import cosd, sind +from pvlib.location import Location + + +# Make some ``pvlib Location`` objects. These are the standard inputs to the solar position calculator. +tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') +print(tus) +johannesburg = Location(-26.2044, 28.0456, 'Africa/Johannesburg', 1753, 'Johannesburg') +print(johannesburg) + + +# Calculate solar position at those locations. To start, we'll choose times near an equinox. Later, we'll test against times near a solstice. +times = pd.date_range(start=datetime.datetime(2014,3,23), end=datetime.datetime(2014,3,24), freq='5Min') + +pyephem_tus = pvlib.solarposition.pyephem(times, tus) +pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) +pyephemout = pyephem_tus # default for notebook + + +# ## Single axis tracker algorithm + +# The steps of the tracking algorithm are: +# 1. [Define input parameters](#Inputs). +# 2. [Transform solar position to South facing coordinate system](#Transform-to-south-facing-coordinate-system). +# 2. [Transform solar position to panel coordinate system](#Transform-to-panel-coordinate-system). +# 2. [Determine the ideal tracking angle when ignoring backtracking](#Tracking-angle). +# 2. [Correct the tracking angle to account for backtracking](#Backtracking). +# 2. [Calculate the panel normal vector based on tracking angle](#Calculate-panel-normal). +# 2. [Calculate the solar angle of incidence](#AOI). +# 2. [Calculate the panel tilt and azimuth](#Surface-tilt-and-azimuth). + +# ### Inputs + +# First, define the input parameters. From the ``tracking.singleaxis`` docstring... + +# apparent_zenith : Series +# Solar apparent zenith angles in decimal degrees. +# +# azimuth : Series +# Solar azimuth angles in decimal degrees. +# +# latitude : float +# A value denoting which hempisphere the tracker is +# in. The exact latitude is NOT required, any positive number denotes +# the northern hemisphere, any negative number denotes the southern +# hemisphere, a value of 0 is assumed to be northern hemisphere. +# +# axis_tilt : float +# The tilt of the axis of rotation +# (i.e, the y-axis defined by axis_azimuth) with respect to horizontal, +# in decimal degrees. +# +# axis_azimuth : float +# A value denoting the compass direction along which +# the axis of rotation lies, in decimal degrees. +# +# max_angle : float +# A value denoting the maximum rotation angle, in +# decimal degrees, of the one-axis tracker from its horizontal position +# (horizontal if axis_tilt = 0). +# A max_angle of 90 degrees allows the tracker to rotate to a vertical +# position to point the panel towards a horizon. +# max_angle of 180 degrees allows for full rotation. +# +# backtrack : bool +# Controls whether the tracker has the +# capability to "backtrack" to avoid row-to-row shading. +# False denotes no backtrack capability. +# True denotes backtrack capability. +# +# gcr : float +# A value denoting the ground coverage ratio of a tracker +# system which utilizes backtracking; i.e. the ratio between the PV +# array surface area to total ground area. A tracker system with modules 2 +# meters wide, centered on the tracking axis, with 6 meters between the +# tracking axes has a gcr of 2/6=0.333. If gcr is not provided, a gcr +# of 2/7 is default. gcr must be <=1. +azimuth = pyephemout['azimuth'] +apparent_azimuth = pyephemout['azimuth'] # not much difference, so cheat +apparent_zenith = pyephemout['apparent_zenith'] +axis_tilt = 0 +axis_azimuth = 170 +latitude = 32 +max_angle = 65 +backtrack = True +gcr = 2.0/7.0 + +times = azimuth.index + + +# ### Transform to south facing coordinate system + +# The reference that this algorithm is based on used an Earth coordinate system where y points south. So, we first transform our solar position vector to this new coordiante system. +az = apparent_azimuth - 180 +apparent_elevation = 90 - apparent_zenith +x = cosd(apparent_elevation) * sind(az) +y = cosd(apparent_elevation) * cosd(az) +z = sind(apparent_elevation) + +earth_coords = pd.DataFrame({'x':x,'y':y,'z':z}) + +earth_coords.plot() +plt.title('sun position in Earth coordinate system') + + +# ### Transform to panel coordinate system + +# Transform solar vector to panel coordinate system. For North-South oriented trackers parallel to the ground, the only difference is the sign of the x component. The x components are the same if ``axis_azimuth=180`` and opposite if ``axis_azimuth=0``. +axis_azimuth_south = axis_azimuth - 180 + +print('cos(axis_azimuth_south)={}, sin(axis_azimuth_south)={}' + .format(cosd(axis_azimuth_south), sind(axis_azimuth_south))) +print('cos(axis_tilt)={}, sin(axis_tilt)={}' + .format(cosd(axis_tilt), sind(axis_tilt))) + +xp = x*cosd(axis_azimuth_south) - y*sind(axis_azimuth_south); +yp = (x*cosd(axis_tilt)*sind(axis_azimuth_south) + + y*cosd(axis_tilt)*cosd(axis_azimuth_south) - + z*sind(axis_tilt)) +zp = (x*sind(axis_tilt)*sind(axis_azimuth_south) + + y*sind(axis_tilt)*cosd(axis_azimuth_south) + + z*cosd(axis_tilt)) + +panel_coords = pd.DataFrame({'x':xp,'y':yp,'z':zp}) + +panel_coords.plot() +plt.title('sun position in panel coordinate system') + + +# ### Tracking angle + +# The ideal tracking angle ``wid`` is the rotation to place the sun position +# vector ``(xp, yp, zp)`` in the ``(y, z)`` plane; i.e. normal to the panel and +# containing the axis of rotation. ``wid = 0`` indicates that the panel is +# horizontal. Here, our convention is that a clockwise rotation is +# positive, to view rotation angles in the same frame of reference as +# azimuth. For example, for a system with tracking axis oriented south, +# a rotation toward the east is negative, and a rotation to the west is +# positive. + +# We use ``arctan2``, but PVLIB MATLAB uses ``arctan``. Here prove that we get the same result. +# Calculate angle from x-y plane to projection of sun vector onto x-z plane +# and then obtain wid by translating tmp to convention for rotation angles. +wid = pd.Series(90 - np.degrees(np.arctan2(zp, xp)), index=times) + +# filter for sun above panel horizon +wid[zp <= 0] = np.nan + +wid.plot(label='tracking angle') +pyephemout['apparent_elevation'].plot(label='apparent elevation') +plt.legend() +plt.title('Ideal tracking angle without backtracking') + + +# ``arctan`` version +tmp = np.degrees(np.arctan(zp/xp)) # angle from x-y plane to projection of sun vector onto x-z plane + +# Obtain wid by translating tmp to convention for rotation angles. +# Have to account for which quadrant of the x-z plane in which the sun +# vector lies. Complete solution here but probably not necessary to +# consider QIII and QIV. +wid = pd.Series(index=times) +wid[(xp>=0) & (zp>=0)] = 90 - tmp[(xp>=0) & (zp>=0)]; # QI +wid[(xp<0) & (zp>=0)] = -90 - tmp[(xp<0) & (zp>=0)]; # QII +wid[(xp<0) & (zp<0)] = -90 - tmp[(xp<0) & (zp<0)]; # QIII +wid[(xp>=0) & (zp<0)] = 90 - tmp[(xp>=0) & (zp<0)]; # QIV + +# filter for sun above panel horizon +wid[zp <= 0] = np.nan + +wid.plot(label='tracking angle') +pyephemout['apparent_elevation'].plot(label='apparent elevation') +plt.legend() +plt.title('Ideal tracking angle without backtracking') + + +# ### Backtracking + +# Account for backtracking; modified from [1] to account for rotation angle convention being used here. +if backtrack: + axes_distance = 1/gcr + temp = np.minimum(axes_distance*cosd(wid), 1) + + # backtrack angle + # (always positive b/c acosd returns values between 0 and 180) + wc = np.degrees(np.arccos(temp)) + + v = wid < 0 + widc = pd.Series(index=times) + widc[~v] = wid[~v] - wc[~v]; # Eq 4 applied when wid in QI + widc[v] = wid[v] + wc[v]; # Eq 4 applied when wid in QIV +else: + widc = wid + +widc.plot(label='tracking angle') +#pyephemout['apparent_elevation'].plot(label='apparent elevation') +plt.legend(loc=2) +plt.title('Ideal tracking angle with backtracking') + + +# Compare tracking angle with and without backtracking. +tracking_angles = pd.DataFrame({'with backtracking':widc,'without backtracking':wid}) +tracking_angles.plot() +#pyephemout['apparent_elevation'].plot(label='apparent elevation') +plt.legend() + + +# ### Max angle + +# Apply angle restriction. +tracker_theta = widc.copy() +tracker_theta[tracker_theta > max_angle] = max_angle +tracker_theta[tracker_theta < -max_angle] = -max_angle + +tracking_angles['with restriction'] = tracker_theta +tracking_angles.plot() + + +# ### Calculate panel normal + +# Calculate panel normal vector in panel x, y, z coordinates. +# y-axis is axis of tracker rotation. ``tracker_theta`` is a compass angle +# (clockwise is positive) rather than a trigonometric angle. +panel_norm = np.array([sind(tracker_theta), + tracker_theta*0, + cosd(tracker_theta)]) + +panel_norm_df = pd.DataFrame(panel_norm.T, columns=('x','y','z'), index=times) +panel_norm_df.plot() +plt.title('panel normal vector components in panel coordinate system') +plt.legend() + + +# sun position in vector format in panel-oriented x, y, z coordinates. We've already seen this above, but it's good to look at it again after calculating the tracker normal vector. +sun_vec = np.array([xp, yp, zp]) + +panel_coords = pd.DataFrame(sun_vec.T, columns=('x','y','z'), index=times) + +panel_coords.plot() +plt.title('sun position in panel coordinate system') + + +# ### AOI + +# Calculate angle-of-incidence on panel +aoi = np.degrees(np.arccos(np.abs(np.sum(sun_vec*panel_norm, axis=0)))) +aoi = pd.Series(aoi, index=times) + +aoi.plot() +plt.title('angle of incidence') + + +# The power produced by the tracker will be primarily determined by the cosine of the angle of incidence. +cosd(aoi).plot() + + +# ### Surface tilt and azimuth + +# Calculate panel tilt ``surface_tilt`` and azimuth ``surface_azimuth`` +# in a coordinate system where the panel tilt is the +# angle from horizontal, and the panel azimuth is +# the compass angle (clockwise from north) to the projection +# of the panel's normal to the earth's surface. +# These outputs are provided for convenience and comparison +# with other PV software which use these angle conventions. + +# Project normal vector to earth surface. First rotate about x-axis by angle -axis_tilt so that y-axis is also parallel to earth surface, then project. +# Calculate standard rotation matrix +print('cos(axis_azimuth_south)={}, sin(axis_azimuth_south)={}' + .format(cosd(axis_azimuth_south), sind(axis_azimuth_south))) +print('cos(axis_tilt)={}, sin(axis_tilt)={}' + .format(cosd(axis_tilt), sind(axis_tilt))) + +rot_x = np.array([[1, 0, 0], + [0, cosd(-axis_tilt), -sind(-axis_tilt)], + [0, sind(-axis_tilt), cosd(-axis_tilt)]]) + +# panel_norm_earth contains the normal vector expressed in earth-surface coordinates +# (z normal to surface, y aligned with tracker axis parallel to earth) +panel_norm_earth = np.dot(rot_x, panel_norm).T + +# projection to plane tangent to earth surface, +# in earth surface coordinates +projected_normal = np.array([panel_norm_earth[:,0], panel_norm_earth[:,1], panel_norm_earth[:,2]*0]).T + +# calculate magnitudes +panel_norm_earth_mag = np.sqrt(np.nansum(panel_norm_earth**2, axis=1)) +projected_normal_mag = np.sqrt(np.nansum(projected_normal**2, axis=1)) +#print('panel_norm_earth_mag={}, projected_normal_mag={}'.format(panel_norm_earth_mag, projected_normal_mag)) + +projected_normal = (projected_normal.T / projected_normal_mag).T + +panel_norm_earth_df = pd.DataFrame(panel_norm_earth, columns=('x','y','z'), index=times) +panel_norm_earth_df.plot() +plt.title('panel normal vector components in Earth coordinate system') + +projected_normal_df = pd.DataFrame(projected_normal, columns=('x','y','z'), index=times) +projected_normal_df.plot() +plt.title('panel normal vector projected to surface in Earth coordinate system') + + +# #### Surface azimuth + +# Calculate surface_azimuth. This takes a few steps. We need to take the arctan, rotate from the panel system to the south-facing Earth system and then rotate the Earth system to a north-facing Earth system. We use the ``arctan2`` function, but PVLIB MATLAB uses ``arctan``. +# calculation of surface_azimuth +# 1. Find the angle. +surface_azimuth = pd.Series(np.degrees(np.arctan2(projected_normal[:,1], projected_normal[:,0])), index=times) +surface_azimuth.plot(label='orig') + +# 2. Rotate 0 reference from panel's x axis to it's y axis and +# then back to North. +surface_azimuth += 90 + axis_azimuth + +# 3. Map azimuth into [0,360) domain. +surface_azimuth[surface_azimuth<0] += 360 +surface_azimuth[surface_azimuth>=360] -= 360 +surface_azimuth.plot(label='compass angle north') + +plt.legend() + + +# ``arctan`` version +# calculation of surface_azimuth +# 1. Find the angle. +surface_azimuth = pd.Series(np.degrees(np.arctan(projected_normal[:,1]/projected_normal[:,0])), index=times) +surface_azimuth.plot(label='orig') + +# 2. Clean up atan when x-coord or y-coord is zero +surface_azimuth[(projected_normal[:,0]==0) & (projected_normal[:,1]>0)] = 90 +surface_azimuth[(projected_normal[:,0]==0) & (projected_normal[:,1]<0)] = -90 +surface_azimuth[(projected_normal[:,1]==0) & (projected_normal[:,0]>0)] = 0 +surface_azimuth[(projected_normal[:,1]==0) & (projected_normal[:,0]<0)] = 180 +surface_azimuth.plot(label='x or y 0 corrected') + +# 3. Correct atan for QII and QIII +surface_azimuth[(projected_normal[:,0]<0) & (projected_normal[:,1]>0)] += 180 # QII +surface_azimuth[(projected_normal[:,0]<0) & (projected_normal[:,1]<0)] += 180 # QIII +surface_azimuth.plot(label='q2, q3 corrected') + +# 4. Skip to below + +# From PVLIB MATLAB... +# at this point surface_azimuth contains angles between -90 and +270, +# where 0 is along the positive x-axis, +# the y-axis is in the direction of the tracker azimuth, +# and positive angles are rotations from the positive x axis towards +# the positive y-axis. +# Adjust to compass angles +# (clockwise rotation from 0 along the positive y-axis) +# surface_azimuth[surface_azimuth<=90] = 90 - surface_azimuth[surface_azimuth<=90] +# surface_azimuth[surface_azimuth>90] = 450 - surface_azimuth[surface_azimuth>90] + +# finally rotate to align y-axis with true north +# PVLIB_MATLAB has this latitude correction, +# but I don't think it's latitude dependent if you always +# specify axis_azimuth with respect to North. +# if latitude > 0 or True: +# surface_azimuth = surface_azimuth - axis_azimuth +# else: +# surface_azimuth = surface_azimuth - axis_azimuth - 180 +# surface_azimuth[surface_azimuth<0] = 360 + surface_azimuth[surface_azimuth<0] + +# the commented code above is mostly part of PVLIB_MATLAB. +# My (wholmgren) take is that it can be done more simply. +# Say that we're pointing along the postive x axis (likely west). +# We just need to rotate 90 degrees to get from the x axis +# to the y axis (likely south), +# and then add the axis_azimuth to get back to North. +# Anything left over is the azimuth that we want, +# and we can map it into the [0,360) domain. + + +# 4. Rotate 0 reference from panel's x axis to it's y axis and +# then back to North. +surface_azimuth += 90 + axis_azimuth + +# 5. Map azimuth into [0,360) domain. +surface_azimuth[surface_azimuth<0] += 360 +surface_azimuth[surface_azimuth>=360] -= 360 +surface_azimuth.plot(label='compass angle north') + +plt.legend() + + +# The final ``surface_azimuth`` is given by the curve labeled "compass angle north". This is in degrees East of North. + +# #### Surface tilt + +# Calculate ``surface_tilt``. We use the pandas ``sum`` function because it evaluates ``pd.Series([np.nan]).sum()=nan`` whereas numpy evaluates ``np.nansum(np.array([np.nan]))=0``. +surface_tilt = (90 - np.degrees(np.arccos( + pd.DataFrame(panel_norm_earth * projected_normal, index=times).sum(axis=1)))) + +surface_tilt.plot() + + +# According to the MATLAB code, surface_tilt is "The angle between the panel surface and the earth surface, accounting for panel rotation." + +# ## ``tracking.singleaxis`` examples + +# With backtracking +tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], + axis_tilt=0, axis_azimuth=180, max_angle=90, + backtrack=True, gcr=2.0/7.0) + +tracker_data.plot() + + +# Without backtracking +tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], + axis_tilt=0, axis_azimuth=180, max_angle=90, + backtrack=False, gcr=2.0/7.0) +tracker_data.plot() + + +# Explore ground cover ratio +aois = pd.DataFrame(index=pyephemout.index) + +for gcr in np.linspace(0, 1, 6): + tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], + axis_tilt=0, axis_azimuth=180, max_angle=90, + backtrack=True, gcr=gcr) + aois[gcr] = tracker_data['aoi'] + +aois.plot() + + +# Ensure that max_angle works. +tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], + axis_tilt=0, axis_azimuth=180, max_angle=45, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() + + +# Play with axis_tilt. +aois = pd.DataFrame(index=pyephemout.index) +tilts = pd.DataFrame(index=pyephemout.index) +azis = pd.DataFrame(index=pyephemout.index) +thetas = pd.DataFrame(index=pyephemout.index) + +for tilt in np.linspace(0, 90, 7): + tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], + axis_tilt=tilt, axis_azimuth=180, max_angle=90, + backtrack=True, gcr=2/7.) + aois[tilt] = tracker_data['aoi'] + tilts[tilt] = tracker_data['surface_tilt'] + azis[tilt] = tracker_data['surface_azimuth'] + thetas[tilt] = tracker_data['tracker_theta'] + +fig, axes = plt.subplots(2, 2, figsize=(16,12), sharex=True) +ax=axes[0,0] +aois.plot(ax=ax) +ax.set_ylim(0,90) +ax.set_title('aoi') + +ax=axes[0,1] +thetas.plot(ax=ax) +ax.set_ylim(-90,90) +ax.set_title('tracker theta') + +ax=axes[1,1] +tilts.plot(ax=ax) +ax.set_title('surface tilt') +ax.set_ylim(0,90) + +ax=axes[1,0] +azis.plot(ax=ax) +ax.set_title('surface azimuth') +ax.set_ylim(0,360) + + +# Makes sense if the panels are facing South at solar noon, as expected with ``axis_tilt>0`` and ``axis_azimuth=180``. +# +# The limiting cases of 0 (flat) and 90 (vertical) seem to make sense if you switch the backtracking on and off. +# +# Next, try to point the panels North. +aois = pd.DataFrame(index=pyephemout.index) + +for tilt in np.linspace(0, -90, 7): + tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], + axis_tilt=tilt, axis_azimuth=180, max_angle=90, + backtrack=True, gcr=2/7.) + aois[tilt] = tracker_data['aoi'] + +aois.plot() +plt.ylim(0,100) + + +# Makes sense if the panels are facing North at solar noon, as expected with ``axis_tilt<0`` and ``axis_azimuth=180``. + +# Play with axis_azimuth. +aois = pd.DataFrame(index=pyephemout.index) +tilts = pd.DataFrame(index=pyephemout.index) +azis = pd.DataFrame(index=pyephemout.index) +thetas = pd.DataFrame(index=pyephemout.index) + +for azi in np.linspace(90, 270, 5): + tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], + axis_tilt=0, axis_azimuth=azi, max_angle=90, + backtrack=True, gcr=2/7.) + aois[azi] = tracker_data['aoi'] + tilts[azi] = tracker_data['surface_tilt'] + azis[azi] = tracker_data['surface_azimuth'] + thetas[azi] = tracker_data['tracker_theta'] + +fig, axes = plt.subplots(2, 2, figsize=(16,12), sharex=True) +ax=axes[0,0] +aois.plot(ax=ax) +ax.set_ylim(0,90) +ax.set_title('aoi') + +ax=axes[0,1] +thetas.plot(ax=ax) +ax.set_ylim(-90,90) +ax.set_title('tracker theta') + +ax=axes[1,1] +tilts.plot(ax=ax) +ax.set_title('surface tilt') +ax.set_ylim(0,90) + +ax=axes[1,0] +azis.plot(ax=ax) +ax.set_title('surface azimuth') +ax.set_ylim(0,360) + + +# Since I screwed up the ``axis_azimuth`` calculation before, this is worth spending a minute on. This discussion assumes ``axis_tilt=0`` and no backtracking. +# +# Say that your ``axis_azimuth=90 or 270``. Your ``surface_azimuth`` has no choice but to point to North (0), or South (180). Near the equinox, the solar azimuth is very nearly 90 at sunrise and sunset, so the ``surface_tilt`` is going to be poorly defined until the sun is a bit above the horizon. At midday, the ``surface_azimuth`` should definitely point South (180), ``surface_tilt`` will very nearly equal the latitude, and AOI should be nearly 0. +# +# Next, let's study the ``axis_azimuth=135`` case. This corresponds to a tracker oriented from SSE-NNW. At sunrise, on the equinox, the tracker is going to point East of North by 45 degrees. Sometime before solar noon, the panels should lay flat, and then point West of South by 45 degrees, or East of North by 225. + +# Test the southern hemispere. +tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() + + +# Test different seasons. +times = pd.date_range(start=datetime.datetime(2014,3,23), end=datetime.datetime(2014,3,24), freq='5Min') + +pyephem_tus = pvlib.solarposition.pyephem(times, tus) +pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) + +tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() +plt.title('Tucson, March') +plt.ylim(-100,100) + +tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() +plt.title('Johannesburg, March') +plt.ylim(-100,100) + +times = pd.date_range(start=datetime.datetime(2014,6,23), end=datetime.datetime(2014,6,24), freq='5Min') + +pyephem_tus = pvlib.solarposition.pyephem(times, tus) +pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) + +tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() +plt.title('Tucson, June') +plt.ylim(-100,100) + +tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() +plt.title('Johannesburg, June') +plt.ylim(-100,100) + +times = pd.date_range(start=datetime.datetime(2014,12,23), end=datetime.datetime(2014,12,24), freq='5Min') + +pyephem_tus = pvlib.solarposition.pyephem(times, tus) +pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) + +tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() +plt.title('Tucson, December') + +tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() +plt.title('Johannesburg, December') + +times = pd.date_range(start=datetime.datetime(2014,12,23), end=datetime.datetime(2014,12,24), freq='5Min') + +pyephem_tus = pvlib.solarposition.pyephem(times, tus) +pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) + +tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=False, gcr=2.0/7.0) +tracker_data['aoi'].plot() +plt.title('Tucson, December, no backtrack') + +tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=False, gcr=2.0/7.0) +plt.figure() +tracker_data['aoi'].plot() +plt.title('Johannesburg, December, no backtrack') + +times = pd.date_range(start=datetime.datetime(2014,5,5), end=datetime.datetime(2014,5,6), freq='5Min') + +pyephem_tus = pvlib.solarposition.pyephem(times, tus) +pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) + +tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=False, gcr=2.0/7.0) +tracker_data['aoi'].plot() +plt.title('Tucson, May, no backtrack') + +tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=False, gcr=2.0/7.0) +plt.figure() +tracker_data['aoi'].plot() +plt.title('Johannesburg, May, no backtrack') + + +# ### Calculate full POA irradiance + +# Finally, we'll put the tracker data together with the irradiance algorithms to determine plane-of-array irradiance. +times = pd.date_range(start=datetime.datetime(2014,3,23), end=datetime.datetime(2014,3,24), freq='5Min') + +pyephem_tus = pvlib.solarposition.pyephem(times, tus) +pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) + +tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() +plt.ylim(-100,100) + +irrad_data = pvlib.clearsky.ineichen(times, tus, solarposition_method='pyephem') +dni_et = pd.Series(pvlib.irradiance.extraradiation(times.dayofyear, method='asce'), index=times).tz_localize(tus.tz) +irrad_data.plot() +dni_et.plot(label='DNI ET') + +ground_irrad = pvlib.irradiance.grounddiffuse(tracker_data['surface_tilt'], irrad_data['ghi'], albedo=.25) +ground_irrad.plot() + +ephem_data = pyephem_tus + +haydavies_diffuse = pvlib.irradiance.haydavies(tracker_data['surface_tilt'], tracker_data['surface_azimuth'], + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['apparent_azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +global_in_plane = cosd(tracker_data['aoi'])*irrad_data['dni'] + haydavies_diffuse + ground_irrad +global_in_plane.plot() + + +# Do it again for another time of year. +times = pd.date_range(start=datetime.datetime(2014,6,23), end=datetime.datetime(2014,6,24), freq='5Min') + +pyephem_tus = pvlib.solarposition.pyephem(times, tus) +pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) + +tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() +plt.ylim(-100,100) + +irrad_data = pvlib.clearsky.ineichen(times, tus, solarposition_method='pyephem') +dni_et = pd.Series(pvlib.irradiance.extraradiation(times.dayofyear, method='asce'), index=times).tz_localize(tus.tz) +plt.figure() +irrad_data.plot() +dni_et.plot(label='DNI ET') + +ground_irrad = pvlib.irradiance.grounddiffuse(tracker_data['surface_tilt'], irrad_data['ghi'], albedo=.25) +ground_irrad.plot() + +ephem_data = pyephem_tus + +haydavies_diffuse = pvlib.irradiance.haydavies(tracker_data['surface_tilt'], tracker_data['surface_azimuth'], + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['apparent_azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +global_in_plane = cosd(tracker_data['aoi'])*irrad_data['dni'] + haydavies_diffuse + ground_irrad +global_in_plane.plot(label='global in plane') + +plt.legend() + +times = pd.date_range(start=datetime.datetime(2014,12,23), end=datetime.datetime(2014,12,24), freq='5Min') + +pyephem_tus = pvlib.solarposition.pyephem(times, tus) +pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) + +tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data.plot() +plt.ylim(-100,100) + +irrad_data = pvlib.clearsky.ineichen(times, tus, solarposition_method='pyephem') +dni_et = pd.Series(pvlib.irradiance.extraradiation(times.dayofyear, method='asce'), index=times).tz_localize(tus.tz) +plt.figure() +irrad_data.plot() +dni_et.plot(label='DNI ET') + +ground_irrad = pvlib.irradiance.grounddiffuse(tracker_data['surface_tilt'], irrad_data['ghi'], albedo=.25) +ground_irrad.plot() + +ephem_data = pyephem_tus + +haydavies_diffuse = pvlib.irradiance.haydavies(tracker_data['surface_tilt'], tracker_data['surface_azimuth'], + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['apparent_azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +global_in_plane = cosd(tracker_data['aoi'])*irrad_data['dni'] + haydavies_diffuse + ground_irrad +global_in_plane.plot(label='global in plane') + +plt.legend() + + +# ### Reproduce examples from ``pvl_singleaxis.m`` +abq = Location(35, -106, 'US/Mountain', 0, 'Albuquerque') +print(abq) + + +# ####Example 1: +# +# Horizontal single axis tracking without back-tracking (max angle = 45 deg) +times = pd.date_range(start=datetime.datetime(2014,6,1), end=datetime.datetime(2014,6,2), freq='5Min') + +pyephem_abq = pvlib.solarposition.pyephem(times, abq) + +tracker_data = pvlib.tracking.singleaxis(pyephem_abq['apparent_zenith'], pyephem_abq['apparent_azimuth'], + axis_tilt=0, axis_azimuth=180, max_angle=45, + backtrack=False, gcr=2.0/7.0) +tracker_data.plot() +plt.ylim(-100,100) +plt.title('June 1, Albuquerque, NS Horizontal Single-Axis, no backtrack') + + +# ####Example 2: +# +# Horizontal single axis tracking with back-tracking (assumes GCR of 0.3) +times = pd.date_range(start=datetime.datetime(2014,6,1), end=datetime.datetime(2014,6,2), freq='5Min') + +pyephem_abq = pvlib.solarposition.pyephem(times, abq) + +tracker_data = pvlib.tracking.singleaxis(pyephem_abq['apparent_zenith'], pyephem_abq['apparent_azimuth'], + axis_tilt=0, axis_azimuth=180, max_angle=45, + backtrack=True, gcr=.3) +tracker_data.plot() +plt.ylim(-100,100) +plt.title('June 1, Albuquerque, NS Horizontal Single-Axis, with backtracking') + + +# ####Example 3: +# +# 20 deg titled single axis tracking with back-tracking (assumes GCR of 0.3) +times = pd.date_range(start=datetime.datetime(2014,6,1), end=datetime.datetime(2014,6,2), freq='5Min') + +pyephem_abq = pvlib.solarposition.pyephem(times, abq) + +tracker_data = pvlib.tracking.singleaxis(pyephem_abq['apparent_zenith'], pyephem_abq['apparent_azimuth'], + axis_tilt=20, axis_azimuth=180, max_angle=45, + backtrack=True, gcr=.3) +tracker_data.plot() +plt.ylim(-100,100) +plt.title('June 1, Albuquerque, 20 deg S-Tilted Single-Axis, with backtracking') + + +# ### sketch of automated tests +import logging +logging.getLogger('pvlib').setLevel(logging.DEBUG) + + +# test solar noon +apparent_zenith = pd.Series([10]) +apparent_azimuth = pd.Series([180]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + +apparent_zenith = pd.Series([60]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=180, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + +apparent_zenith = pd.Series([60]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + + +# Test max +apparent_zenith = pd.Series([60]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=0, max_angle=45, + backtrack=True, gcr=2.0/7.0) +tracker_data + + +# Test backtrack bool +apparent_zenith = pd.Series([80]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=False, gcr=2.0/7.0) +tracker_data + +apparent_zenith = pd.Series([80]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + + +# Test axis_tilt +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([135]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=30, axis_azimuth=180, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([135]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=30, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + + +# Test axis_azimuth +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=90, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([180]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=90, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([180]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=90, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([150]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=170, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([180]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=170, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + +apparent_zenith = pd.Series([10]) +apparent_azimuth = pd.Series([180]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + + +# This is supposed to fail... +apparent_zenith = pd.Series([10]) +apparent_azimuth = pd.Series([180,90]) +tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, + axis_tilt=0, axis_azimuth=0, max_angle=90, + backtrack=True, gcr=2.0/7.0) +tracker_data + +logging.getLogger('pvlib').setLevel(logging.WARNING) + + + diff --git a/docs/tutorials/test_examples.py b/docs/tutorials/test_examples.py new file mode 100644 index 0000000000..86ada45183 --- /dev/null +++ b/docs/tutorials/test_examples.py @@ -0,0 +1,43 @@ +#!/usr/bin/env python +from __future__ import print_function +import contextlib +import glob +import os +import os.path +import sys +try: + from StringIO import StringIO +except ImportError: + from io import StringIO +import traceback + + +@contextlib.contextmanager +def stdoutIO(stdout=None): + old = sys.stdout + if stdout is None: + stdout = StringIO() + sys.stdout = stdout + yield stdout + sys.stdout = old + +# Loop over all scripts, read them in and execute. If *any* exception is raised, +# print it out and print 'FAILED'. If any example fails to run, exit non-zero. +script_dir = os.path.join(os.path.dirname(__file__), 'scripts') +failed_test = False +for fname in glob.glob(os.path.join(script_dir, '*.py')): + with open(fname) as pysource: + print(fname, '....', sep='', end=' ') + try: + code = compile(pysource.read(), fname, 'exec') + with stdoutIO() as s: + exec(code, dict()) + except Exception as e: + traceback.print_exc() + print("Stdout: ", s.getvalue()) + print('FAILED') + failed_test = True + else: + print('OK') + +sys.exit(failed_test) diff --git a/pvlib/__init__.py b/pvlib/__init__.py index 483bab7b09..b52b2894ec 100644 --- a/pvlib/__init__.py +++ b/pvlib/__init__.py @@ -11,5 +11,4 @@ from pvlib import tmy from pvlib import tracking from pvlib import pvsystem -from pvlib import spa - +from pvlib import spa \ No newline at end of file diff --git a/pvlib/forecast.py b/pvlib/forecast.py index c442bc3932..f538a792f7 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -96,12 +96,13 @@ class ForecastModel(object): 'boundary_clouds', 'convect_clouds', 'downward_shortwave_radflux', - 'downward_shortwave_radflux_avg']) + 'downward_shortwave_radflux_avg',]) def __init__(self,model_type,model_name,labels): self.model_name = model_name self.model_type = model_type - self.variables = labels.keys() + self.variables = list(labels.keys()) + self.modelvariables = list(labels.values()) self.data_labels = labels self.catalog = TDSCatalog(self.catalog_url) self.fm_models = TDSCatalog(self.catalog.catalog_refs[self.model_type].href) @@ -180,14 +181,14 @@ def get_query_data(self,latlon,timespan,vert_level=None,variables=None): if vert_level != None: self.vert_level = vert_level if variables != None: - self.variables = variables + self.modelvariables = variables self.latlon = latlon self.set_query_latlon() self.timespan = timespan self.set_query_time() self.query.vertical_level(self.vert_level) - self.query.variables(*self.variables) + self.query.variables(*self.modelvariables) self.query.accept(self.data_format) netcdf_data = self.ncss.get_data(self.query) @@ -213,7 +214,7 @@ def netcdf2pandas(self,data): """ data_dict = {} for var in self.variables: - data_dict[self.data_labels[var]] = pd.Series(data[var][:].squeeze()) + data_dict[var] = pd.Series(data[self.data_labels[var]][:].squeeze()) dataframe = pd.DataFrame(data_dict,columns=self.columns) return dataframe @@ -244,7 +245,7 @@ def set_variable_units(self,data): """ self.var_units = {} for var in self.variables: - self.var_units[self.data_labels[var]] = data[var].units + self.var_units[var] = data[self.data_labels[var]].units def set_variable_stdnames(self,data): """ @@ -259,15 +260,16 @@ def set_variable_stdnames(self,data): self.var_stdnames = {} for var in self.variables: try: - self.var_stdnames[self.data_labels[var]] = data[var].standard_name + self.var_stdnames[var] = data[self.data_labels[var]].standard_name except AttributeError: - self.var_stdnames[self.data_labels[var]] = var + self.var_stdnames[var] = var + class GFS(ForecastModel): ''' Subclass of the ForecastModel class representing GFS forecast model. - Model data corresponds to 0.5 degree resolution forecasts. + Model data corresponds to 0.25 degree resolution forecasts. Attributes ---------- @@ -286,9 +288,9 @@ class GFS(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self): + def __init__(self,res='Half'): model_type = 'Forecast Model Data' - model = 'GFS Half Degree Forecast' + model = 'GFS '+res+' Degree Forecast' variables = ['Temperature_isobaric', 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', @@ -298,49 +300,10 @@ def __init__(self): 'Total_cloud_cover_convective_cloud'] cols = super(GFS, self).columns idx = [1,3,4,5,6,7,8] - data_labels = dict(zip(variables,cols[idx])) + data_labels = dict(zip(cols[idx],variables)) super(GFS, self).__init__(model_type,model,data_labels) -class GFS_HIRES(ForecastModel): - ''' - Subclass of the ForecastModel class representing GFS_HIRES forecast model. - - Model data corresponds to 0.25 degree resolution forecasts. - - Attributes - ---------- - cols: list - Common names for variables. - data_labels: dictionary - Dictionary where the common variable name references the model - specific variable name. - idx: list - Indices of the variables corresponding to their common name. - model: string - Name of the UNIDATA forecast model. - model_type: string - UNIDATA category in which the model is located. - variables: list - Names of default variables specific to the model. - - ''' - def __init__(self): - model_type = 'Forecast Model Data' - model = 'GFS Quarter Degree Forecast' - variables = ['Temperature_isobaric', - 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud'] - cols = super(GFS_HIRES, self).columns - idx = [1,3,4,5,6,7,8] - data_labels = dict(zip(variables,cols[idx])) - super(GFS_HIRES, self).__init__(model_type,model,data_labels) - - class NAM(ForecastModel): ''' Subclass of the ForecastModel class representing NAM forecast model. @@ -361,6 +324,8 @@ class NAM(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. + res: string + Determines which resolution of the GFS to use, as 'Half' or 'Quarter' variables: list Names of default variables specific to the model. @@ -379,7 +344,7 @@ def __init__(self): 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'] cols = super(NAM, self).columns idx = [0,1,3,4,5,6,9,10] - data_labels = dict(zip(variables,cols[idx])) + data_labels = dict(zip(cols[idx],variables)) super(NAM, self).__init__(model_type,model,data_labels) @@ -418,7 +383,7 @@ def __init__(self): 'High_cloud_cover_high_cloud'] cols = super(RAP, self).columns idx = [0,3,4,5,6] - data_labels = dict(zip(variables,cols[idx])) + data_labels = dict(zip(cols[idx],variables)) super(RAP, self).__init__(model_type,model,data_labels) @@ -448,7 +413,7 @@ class NCEP(ForecastModel): ''' def __init__(self): model_type = 'Forecast Model Data' - model = 'NCEP HRRR CONUS 2.5km' + model = 'NCEP HRRR CONUS 2.5km' description = '' variables = ['Total_cloud_cover_entire_atmosphere', 'Low_cloud_cover_low_cloud', @@ -456,15 +421,15 @@ def __init__(self): 'High_cloud_cover_high_cloud',] cols = super(NCEP, self).columns idx = [3,4,5,6] - data_labels = dict(zip(variables,cols[idx])) + data_labels = dict(zip(cols[idx],variables)) super(NCEP, self).__init__(model_type,model,data_labels) -class NOAA(ForecastModel): +class GSD(ForecastModel): ''' - Subclass of the ForecastModel class representing NOAA forecast model. + Subclass of the ForecastModel class representing NCEP forecast model. - Model data corresponds to GSD HRRR CONUS 3km resolution + Model data corresponds to NOAA/GSD HRRR CONUS 3km resolution surface forecasts. Attributes @@ -487,6 +452,7 @@ class NOAA(ForecastModel): def __init__(self): model_type = 'Forecast Model Data' model = 'GSD HRRR CONUS 3km surface' + description = '' variables = ['Temperature_surface', 'Total_cloud_cover_entire_atmosphere', @@ -494,10 +460,10 @@ def __init__(self): 'Medium_cloud_cover_UnknownLevelType-224', 'High_cloud_cover_UnknownLevelType-234', 'Downward_short-wave_radiation_flux_surface'] - cols = super(NOAA, self).columns + cols = super(GSD, self).columns idx = [0,3,4,5,6,9] - data_labels = dict(zip(variables,cols[idx])) - super(NOAA, self).__init__(model_type,model,data_labels) + data_labels = dict(zip(cols[idx],variables)) + super(GSD, self).__init__(model_type,model,data_labels) class NDFD(ForecastModel): @@ -533,5 +499,5 @@ def __init__(self): 'Total_cloud_cover_surface'] cols = super(NDFD, self).columns idx = [0,2,3] - data_labels = dict(zip(variables,cols[idx])) + data_labels = dict(zip(cols[idx],variables)) super(NDFD, self).__init__(model_type,model,data_labels) diff --git a/setup.py b/setup.py index 777fbfadfb..bcb1f8a54a 100644 --- a/setup.py +++ b/setup.py @@ -11,6 +11,38 @@ except ImportError: raise RuntimeError('setuptools is required') +class MakeExamples(Command): + description = 'Create example scripts from IPython notebooks' + user_options=[] + + def initialize_options(self): + pass + + def finalize_options(self): + pass + + def run(self): + import glob + import os + import os.path + from nbconvert.exporters import PythonExporter + from traitlets.config import Config + examples_dir = os.path.join(os.path.dirname(__file__), 'docs/tutorials') + script_dir = os.path.join(examples_dir, 'scripts') + if not os.path.exists(script_dir): + os.makedirs(script_dir) + c = Config({'Exporter': {'template_file': 'docs/tutorials/python-scripts.tpl'}}) + exporter = PythonExporter(config=c) + for fname in glob.glob(os.path.join(examples_dir, 'notebooks', '*.ipynb')): + output, _ = exporter.from_filename(fname) + out_fname = os.path.splitext(os.path.basename(fname))[0] + out_name = os.path.join(script_dir, out_fname + '.py') + print(fname, '->', out_name) + with open(out_name, 'w') as outf: + outf.write(output) + +commands = {'examples':MakeExamples} + DESCRIPTION = 'The PVLIB toolbox provides a set functions for simulating the performance of photovoltaic energy systems.' LONG_DESCRIPTION = open('README.md').read() @@ -67,6 +99,7 @@ setup(name=DISTNAME, version=__version__, packages=PACKAGES, + cmdclass=commands, ext_modules=extensions, description=DESCRIPTION, long_description=LONG_DESCRIPTION, From cf93bc98a25ee93e69b429039638ef2503d2da30 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Wed, 4 Nov 2015 11:59:44 -0700 Subject: [PATCH 13/88] Updated setup.py and .travis.yml files --- .travis.yml | 13 +- docs/tutorials/forecast_testing.py | 257 ----------------------------- setup.py | 2 +- 3 files changed, 8 insertions(+), 264 deletions(-) delete mode 100644 docs/tutorials/forecast_testing.py diff --git a/.travis.yml b/.travis.yml index 3693570b5d..26e62d879c 100644 --- a/.travis.yml +++ b/.travis.yml @@ -62,12 +62,13 @@ before_install: install: - echo "install" - - if [[ $TRAVIS_PYTHON_VERSION == '2.7' ]]; then conda install --yes python=$TRAVIS_PYTHON_VERSION numpy scipy pandas=$PD_VERSION nose pytz ephem netcdf4; fi - - if [[ $TRAVIS_PYTHON_VERSION == '3.3' || $TRAVIS_PYTHON_VERSION == '3.4' ]]; then conda install --yes python=$TRAVIS_PYTHON_VERSION numpy=1.8 scipy=0.14 pandas nose pytz ephem netcdf4; conda install --yes pandas=$PD_VERSION --no-deps; fi - - test $PD_VERSION != 0.13.1 && conda install --yes "numba>=0.17" || echo "Not installing numba" - - conda install --yes coverage - - pip install git+https://github.com/Unidata/siphon.git@master - - pip install coveralls + - conda env create --file ci/requirements-$CONDA_ENV.yml + - source activate test_env # all envs are named test_env in the yml files + - conda list + - echo $PATH + - ls -l /home/travis/miniconda/envs/test_env/lib + #- pip install . # use pip to automatically install anything not in the yml files (i.e. numpy/scipy/pandas for py3*) + - pip install scipy # won't do anything if already installed - python setup.py install script: diff --git a/docs/tutorials/forecast_testing.py b/docs/tutorials/forecast_testing.py deleted file mode 100644 index 7e2b610d23..0000000000 --- a/docs/tutorials/forecast_testing.py +++ /dev/null @@ -1,257 +0,0 @@ - -# # Testing Unidata/Siphon for solar power forecasting applications - -# This notebook is meant to test the usefulness of [Unidata's Siphon project](https://github.com/Unidata/siphon) for solar forecasting applications. Siphon has the potential to make accessing subsets of model data lot easier than using the traditional NOMADS services. -# -# Sections: -# 1. [GFS](#GFS) and [GFS 0.25 deg](#GFS-0.25-deg) -# 2. [NAM](#NAM) -# 2. [RAP](#RAP) -# 2. HRRR [NCEP](#NCEP) and [ESRL](#ESRL) -# 2. [NDFD](#NDFD) -# -# Requirements: -# * All siphon requirements as described [here](http://siphon.readthedocs.org/en/latest/developerguide.html). -# * Matplotlib, Seaborn, IPython notebook. -# -# Authors: -# * Will Holmgren, University of Arizona, July 2015 - -# Standard scientific python imports - -import matplotlib as mpl -import matplotlib.pyplot as plt -import seaborn as sns -sns.set_color_codes() - -import pandas as pd -import numpy as np - -from datetime import datetime, timedelta -import os - -# Imports for weather data. -import netCDF4 -from netCDF4 import num2date - -from siphon.catalog import TDSCatalog -from siphon.ncss import NCSS - -from pvlib.forecast import * - -import pickle as pkl - -def testGFS(start,end): - - fm = GFS() - data = fm.get_query_data([-110.9,32.2],[start,end]) - - time_vals = fm.time - - var_name = fm.variables[0] - - fig, ax = plt.subplots(1, 1, figsize=(9, 8)) - ax.plot(time_vals, data[var_name], 'r', linewidth=2) - ax.set_ylabel(fm.var_stdnames[var_name] + ' (%s)' % fm.var_units[var_name]) - ax.set_xlabel('Forecast Time (UTC)') - - var_name = fm.variables[3] - - total_cloud_cover = fm.data[var_name] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in fm.variables[1:]: - ax.plot(time_vals, fm.data[varname], linewidth=2, label=varname) - - ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name]) - ax.set_xlabel('Forecast Time (UTC)') - ax.legend(bbox_to_anchor=(1.4,1.1)) - ax.set_title('GFS 0.5 deg') - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2) - ax.set_ylabel('Total cloud cover' + ' (%s)' % fm.var_units[var_name]) - ax.set_xlabel('Forecast Time (UTC)') - ax.set_title('GFS 0.5 deg') - - plt.show() - -def testNAM(start,end): - - fm = GFS() - data = fm.get_query_data([-110.9,32.2],[start,end]) - - time_vals = fm.time - - cloud_vars = fm.variables[3:] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in cloud_vars: - ax.plot(time_vals, fm.data[varname], linewidth=2, label=varname) - - ax.set_ylabel('Cloud cover (%)') - ax.set_xlabel('Forecast Time (UTC)') - ax.legend(bbox_to_anchor=(1.4,1.1)) - ax.set_title('NAM') - - ghis = fm.variables[:2] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - for varname in ghis: - ax.plot(time_vals, fm.data[varname], linewidth=2, label=varname) - ax.set_ylabel('GHI W/m**2') - ax.set_xlabel('Forecast Time (UTC)') - ax.legend() - - plt.show() - - -def testNDFD(start,end): - - # The times are messed up, but I'm sure they can be fixed with a little effort. - - # ## NDFD - - fm = NDFD() - data = fm.get_query_data([-110.9,32.2],[start,end]) - - time_vals = fm.time - - total_cloud_cover = fm.data['Total_cloud_cover_surface'] - temp = fm.data['Temperature_surface'] - wind = fm.data['Wind_speed_surface'] - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2) - ax.set_ylabel('Cloud cover (%)') - ax.set_xlabel('Forecast Time (UTC)') - plt.ylim(0,100) - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, temp, 'r', linewidth=2) - ax.set_ylabel('temp {}'.format(fm.var_units['Temperature_surface'])) - ax.set_xlabel('Forecast Time (UTC)') - - fig, ax = plt.subplots(1, 1, figsize=(10, 6)) - ax.plot(time_vals, wind, 'r', linewidth=2) - ax.set_ylabel('wind {}'.format(fm.var_units['Wind_speed_surface'])) - ax.set_xlabel('Forecast Time (UTC)') - - plt.show() - - -def exploreTDS(): - - cat = TDSCatalog('http://thredds.ucar.edu/thredds/catalog.xml') - - # print(list(cat.catalog_refs.keys())) - # print(cat.catalog_refs['Forecast Model Data'].href) - # print(cat.services) - - cat = TDSCatalog(cat.catalog_refs['Forecast Model Data'].href) - # cat = TDSCatalog(cat.catalog_refs['Forecast Products and Analyses'].href) - catList = sorted(list(cat.catalog_refs.keys())) - for item in catList: - print(item) - - # print(cat.catalog_refs['GFS Half Degree Forecast'].href) - cat = TDSCatalog(cat.catalog_refs['GFS Half Degree Forecast'].href) - # cat = TDSCatalog(cat.catalog_refs['NAM CONUS 12km from CONDUIT'].href) - print(cat.datasets.keys()) - print(cat.__dict__['datasets']) - # print(cat.__dict__.keys()) - print(cat.datasets['Best GFS Half Degree Forecast Time Series'].__dict__) - catKey = list(cat.datasets.keys())[2] - print(cat.datasets[catKey].__dict__) - - catList = sorted(list(cat.catalog_refs.keys())) - for item in catList: - print(item) - - # best_gfs_nc_sub = NCSS('http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/NCEP/GFS/Global_0p25deg/Best') - # best_gfs_nc_sub.variables - # variables = [ - # 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', - # 'Temperature_surface', - # 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - # 'Total_cloud_cover_convective_cloud', - # 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - # 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - # 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - # 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average'] - # query = best_gfs_nc_sub.query() - # query.lonlat_point(-110.9, 32.2).time_range(start, end) - # query.variables(*variables) - # #query.vertical_level(100000) - # #query.add_query_parameter(height_above_ground=1) - # query.accept('netcdf') - # data = best_gfs_nc_sub.get_data(query) - - -def testFM(start,end): - - # gfs = GFS() - # gfshires = GFS_HIRES() - # nam = NAM() - # rap = RAP() - hrrr = HRRR('esrl') - # noaa = NOAA() - # ndfd = NDFD() - - # models = [gfs,gfshires,nam,rap,hrrr,noaa,ndfd] - models = [hrrr] - - varlists = [] - - for model in models: - model.get_query_data([-110.9,32.2],[start,end]) - print(model.data_labels) - - # # print(model.access_url) - # print(len(model.ncss.variables)) - # # print(model.ncss.variables) - # varlists.append(sorted(model.ncss.variables)) - - # pkl_file = open('varlists.pkl', 'wb') - # pkl.dump(varlists,pkl_file) - # pkl_file.close() - - # pkl_file = open('varlists.pkl', 'rb') - # lists = pkl.load(pkl_file) - # pkl_file.close() - - # outlines = [] - - # for alist in lists: - # outlines.append(','.join(alist)+'\n') - - # outfile = open('varlist.csv','w') - # outfile.writelines(outlines) - # outfile.close() - - # data = gfs.get_query_data([-110.9,32.2],[start,end]) - # print(data) - - - # print(gfs.model_name,nam.model_name) - - # gfs.model_name = 'test' - - # print(gfs.model_name,nam.model_name) - - -def main(): - - start = datetime.utcnow() - end = start + timedelta(days=7) - - # testGFS(start,end) # 3 plots - # testNAM(start,end) # 2 plots - # testNDFD(start,end) # 3 plots - - # exploreTDS() - - testFM(start,end) - -if __name__=='__main__': - main() \ No newline at end of file diff --git a/setup.py b/setup.py index bcb1f8a54a..7775b37921 100644 --- a/setup.py +++ b/setup.py @@ -63,7 +63,7 @@ def run(self): setuptools_kwargs = { 'zip_safe': False, - 'install_requires': ['numpy >= 1.7.0', + 'install_requires': ['numpy >= 1.8.2', 'pandas >= 0.13.1', 'pytz', 'six', From e756a827832e39637fc9325179237f4de2f933a0 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Mon, 16 Nov 2015 11:54:32 -0700 Subject: [PATCH 14/88] Added nose tests for forecast.py --- docs/tutorials/scripts/atmosphere.py | 66 -- docs/tutorials/scripts/forecast.py | 170 ---- docs/tutorials/scripts/irradiance.py | 705 ------------- docs/tutorials/scripts/pvsystem.py | 378 ------- docs/tutorials/scripts/solarposition.py | 267 ----- docs/tutorials/scripts/tmy.py | 72 -- .../scripts/tmy_and_diffuse_irrad_models.py | 189 ---- docs/tutorials/scripts/tmy_to_power.py | 417 -------- docs/tutorials/scripts/tracking.py | 951 ------------------ pvlib/test/test_forecast.py | 160 +++ 10 files changed, 160 insertions(+), 3215 deletions(-) delete mode 100644 docs/tutorials/scripts/atmosphere.py delete mode 100644 docs/tutorials/scripts/forecast.py delete mode 100644 docs/tutorials/scripts/irradiance.py delete mode 100644 docs/tutorials/scripts/pvsystem.py delete mode 100644 docs/tutorials/scripts/solarposition.py delete mode 100644 docs/tutorials/scripts/tmy.py delete mode 100644 docs/tutorials/scripts/tmy_and_diffuse_irrad_models.py delete mode 100644 docs/tutorials/scripts/tmy_to_power.py delete mode 100644 docs/tutorials/scripts/tracking.py create mode 100644 pvlib/test/test_forecast.py diff --git a/docs/tutorials/scripts/atmosphere.py b/docs/tutorials/scripts/atmosphere.py deleted file mode 100644 index ae97664c2d..0000000000 --- a/docs/tutorials/scripts/atmosphere.py +++ /dev/null @@ -1,66 +0,0 @@ -# coding: utf-8 - -# # ``atmosphere.py`` tutorial -# -# This tutorial needs your help to make it better! -# -# This tutorial has been tested against the following package versions: -# * pvlib 0.2.0 -# * Python 2.7.10 -# * IPython 3.2 -# * Pandas 0.16.2 -# -# It should work with other Python and Pandas versions. It requires pvlib > 0.2.0 and IPython > 3.0. -# -# Authors: -# * Will Holmgren (@wholmgren), University of Arizona. 2015. -get_ipython().magic('matplotlib inline') -import matplotlib.pyplot as plt -try: - import seaborn as sns - sns.set(rc={"figure.figsize": (12, 6)}) -except ImportError: - print('We suggest you install seaborn using conda or pip and rerun this cell') - -# built in python modules -import datetime -import logging -import os -import inspect - -# python add-ons -import numpy as np -import pandas as pd - -import pvlib -from pvlib.location import Location - -tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') - -print(tus) - -times = pd.date_range(start=datetime.datetime(2014,6,24), end=datetime.datetime(2014,6,25), freq='1Min') - -pyephem_ephem = pvlib.solarposition.get_solarposition(times, tus, method='pyephem') -print(pyephem_ephem.head()) -pyephem_ephem.plot() - -pyephem_ephem = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus, method='pyephem') -print(pyephem_ephem.head()) -pyephem_ephem.plot() - -pvlib.atmosphere.relativeairmass(pyephem_ephem['zenith']).plot() -pvlib.atmosphere.relativeairmass(pyephem_ephem['apparent_zenith']).plot() -pvlib.atmosphere.relativeairmass(pyephem_ephem['zenith'], model='young1994').plot() -pvlib.atmosphere.relativeairmass(pyephem_ephem['zenith'], model='simple').plot() -plt.legend() -plt.ylim(0,100) - -plt.plot(pyephem_ephem['zenith'], pvlib.atmosphere.relativeairmass(pyephem_ephem['zenith'], model='simple'), label='simple') -plt.plot(pyephem_ephem['zenith'], pvlib.atmosphere.relativeairmass(pyephem_ephem['apparent_zenith']), label='default') -plt.xlim(0,100) -plt.ylim(0,100) -plt.legend() - - - diff --git a/docs/tutorials/scripts/forecast.py b/docs/tutorials/scripts/forecast.py deleted file mode 100644 index b004bbaf46..0000000000 --- a/docs/tutorials/scripts/forecast.py +++ /dev/null @@ -1,170 +0,0 @@ -# coding: utf-8 -get_ipython().magic('matplotlib inline') -import matplotlib.pyplot as plt -try: - import seaborn as sns - sns.set(rc={"figure.figsize": (12, 6)}) -except ImportError: - print('We suggest you install seaborn using conda or pip and rerun this cell') - -# built in python modules -from datetime import datetime, timedelta -import os - -# python add-ons -import numpy as np -import pandas as pd -try: - import netCDF4 - from netCDF4 import num2date -except ImportError: - print('We suggest you install netCDF4 using conda rerun this cell') - -# for accessing UNIDATA THREDD servers -from siphon.catalog import TDSCatalog -from siphon.ncss import NCSS - -from pvlib.forecast import * - -start = datetime.utcnow() # today's date -end = start + timedelta(days=7) # 7 days from today -timerange = [start, end] - -coordinates = [-110.9, 32.2] # Tucson, AZ - -fm = GFS() - -data = fm.get_query_data(coordinates,timerange) - -time_vals = fm.time - -var_name = 'temperature_iso' - -fig, ax = plt.subplots(1, 1, figsize=(9, 8)) -ax.plot(time_vals, data[var_name], 'r', linewidth=2) -ax.set_ylabel(fm.var_stdnames[var_name] + ' (%s)' % fm.var_units[var_name]) -ax.set_xlabel('Forecast Time (UTC)') - -var_name = 'total_clouds' - -total_cloud_cover = data[var_name] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name]) -ax.set_xlabel('Forecast Time (UTC)') -ax.set_title('GFS 0.5 deg') -for varname in fm.variables[1:]: - ax.plot(time_vals, data[varname], linewidth=2, label=varname) -ax.legend(bbox_to_anchor=(1.4,1.1)) - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2) -ax.set_ylabel('Total cloud cover' + ' (%s)' % fm.var_units[var_name]) -ax.set_xlabel('Forecast Time (UTC)') -ax.set_title('GFS 0.5 deg') - -fm = NAM() - -data = fm.get_query_data(coordinates,timerange) - -time_vals = fm.time - -cloud_vars = fm.variables[3:] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in cloud_vars: - ax.plot(time_vals, data[varname], linewidth=2, label=varname) -ax.set_ylabel('Cloud cover (%)') -ax.set_xlabel('Forecast Time (UTC)') -ax.legend(bbox_to_anchor=(1.4,1.1)) -ax.set_title('NAM') - -ghis = fm.variables[:2] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in ghis: - ax.plot(time_vals, data[varname], linewidth=2, label=varname) -ax.set_ylabel('GHI W/m**2') -ax.set_xlabel('Forecast Time (UTC)') -ax.legend() - -fm = NDFD() - -data = fm.get_query_data([-110.9,32.2],[start,end]) - -time_vals = fm.time - -total_cloud_cover = data['total_clouds'] -temp = data['temperature'] -wind = data['wind_speed'] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2) -ax.set_ylabel('Cloud cover (%)') -ax.set_xlabel('Forecast Time (UTC)') -plt.ylim(0,100) - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, temp, 'r', linewidth=2) -ax.set_ylabel('temp {}'.format(fm.var_units['temperature'])) -ax.set_xlabel('Forecast Time (UTC)') - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, wind, 'r', linewidth=2) -ax.set_ylabel('wind {}'.format(fm.var_units['wind_speed'])) -ax.set_xlabel('Forecast Time (UTC)') - -fm = RAP() - -data = fm.get_query_data([-110.9,32.2],[start,end]) - -time_vals = fm.time - -cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds'] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) -ax.set_ylabel('Cloud cover (%)') -ax.set_xlabel('Forecast Time (UTC)') -ax.legend(bbox_to_anchor=(1.4,1.1)) - -fm = GSD() - -data = fm.get_query_data([-110.9,32.2],[start,end]) - -time_vals = fm.time - -cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds'] - -var_name = 'downward_shortwave_radflux' - -ghi = data[var_name] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) -ax.set_ylabel('Cloud cover (%)') -ax.set_xlabel('Forecast Time (UTC)') -ax.legend(bbox_to_anchor=(1.4,1.1)) - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -ax.plot(time_vals, ghi[:].squeeze(), linewidth=2) -ax.set_ylabel('GHI' + ' (%s)' % fm.var_units[var_name]) -ax.set_xlabel('Forecast Time (UTC)') - -fm = NCEP() - -data = fm.get_query_data([-110.9,32.2],[start,end]) - -time_vals = fm.time - -cloud_vars = fm.variables[3:] - -fig, ax = plt.subplots(1, 1, figsize=(10, 6)) -for varname in cloud_vars: - ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname) -ax.set_ylabel('Cloud cover (%)') -ax.set_xlabel('Forecast Time (UTC)') -ax.legend(bbox_to_anchor=(1.4,1.1)) - diff --git a/docs/tutorials/scripts/irradiance.py b/docs/tutorials/scripts/irradiance.py deleted file mode 100644 index 048205c091..0000000000 --- a/docs/tutorials/scripts/irradiance.py +++ /dev/null @@ -1,705 +0,0 @@ -# coding: utf-8 - -# # irradiance.py tutorial - -# This tutorial explores some of the functions available in the ``pvlib`` module ``irradiance.py``. -# -# This tutorial is known to work with the following package versions: -# * pvlib 0.2.0 -# * Python 2.7.10 -# * IPython 3.2 -# * pandas 0.16.2 -# -# It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0. -# -# Authors: -# * Will Holmgren (@wholmgren), University of Arizona. July 2014, April 2015, July 2015. -get_ipython().magic('matplotlib inline') -import matplotlib.pyplot as plt -try: - import seaborn as sns - sns.set(rc={'figure.figsize':(12,6)}) -except ImportError: - pass - -# built in python modules -import datetime - -# python add-ons -import numpy as np -import pandas as pd - -import pvlib - - -# ## Table of contents -# -# 1. [Extraterrestrial radiation](#Extraterrestrial-radiation) -# 2. [Clear sky models](#Clear-sky-models) -# 2. [Diffuse ground](#Diffuse-ground) -# 2. [Diffuse sky](#Diffuse-sky) -# 1. [Isotropic](#Isotropic-model) -# 2. [Klucher](#Klucher-model) -# 2. [Reindl](#Reindl-model) -# 2. [Hay-Davies](#Hay-Davies-model) -# 2. [Perez](#Perez-model) -# 2. [Angle of incidence](#Angle-of-incidence-functions) -# 2. [total_irrad](#total_irrad) - -# ### Extraterrestrial radiation - -# Many solar power algorithms start with the irradiance incident on the top of the Earth's atmosphere, often known as the extraterrestrial radiation. ``pvlib`` has three different algorithms to calculate the yearly cycle of the extraterrestrial radiation given the solar constant. -times = pd.date_range('2014-01-01', '2015-01-01', freq='1D') - -spencer = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer'), times) -asce = pd.Series(pvlib.irradiance.extraradiation(times, method='asce'), times) -ephem = pvlib.irradiance.extraradiation(times, method='pyephem') # approx 100x slower than the above. - -spencer.plot(label='spencer') -asce.plot(label='asce') -ephem.plot(label='pyephem') -plt.legend() -plt.ylabel('Extraterrestrial radiation (W/m^2)') - - -# The ``pyephem`` method is probably the most accurate since it uses an external library specifically designed for astronomical position calculations. However, as shown in the plot below, the difference is only +/-2 W/m^2 over the entire year. -et_diff = spencer - ephem -et_diff.plot() -plt.ylabel('spencer-ephem (W/m**2)') - - -# You can also control the solar constant. -spencer_1400 = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer', solar_constant=1400), times) - -spencer.plot(label='default') -spencer_1400.plot(label='1400') -plt.legend() -plt.title('Impact of solar constant') -plt.ylabel('ET Irradiance (W/m^2)') - - -# ## Clear sky models - -# ``pvlib`` has two different clear sky models: Ineichen and Haurwitz. We'll explore some of the features of each of them. - -# First, we need to make a ``Location`` object so that ``pvlib`` can calculate the solar position when needed. -from pvlib.location import Location - -tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') -print(tus) - -times = pd.date_range(start=datetime.datetime(2014,1,1), end=datetime.datetime(2014,1,2), freq='1Min').tz_localize(tus.tz) -solpos = pvlib.solarposition.get_solarposition(times, tus, method='pyephem') -ephem_data = solpos - - -# #### Haurwitz -# -# The Haurwitz model is a very simple model that only needs the solar zenith. -irrad_data = pvlib.clearsky.haurwitz(solpos['apparent_zenith']) -irrad_data.plot() -plt.ylabel('Irradiance (W/m^2)') - - -# #### Ineichen - -# The ``ineichen`` algorithm only requires you to supply the times and the location, but accepts many more optional parameters. It automatically calculates the solar position and looks up the Linke turbidity (related to the optical depth of the atmosphere). -irrad_data = pvlib.clearsky.ineichen(times, tus) -irrad_data.plot() - - -# The Linke turbidity lookup table uses monthly values, but these are interpolated down to daily values by default. You can also specify the value yourself. You can also supply the zenith angle to avoid recalculating the solar position each time the function is called. -solpos = pvlib.solarposition.get_solarposition(times, tus, method='pyephem') - -fig, axes = plt.subplots(1,3, figsize=(16,5), sharey=True) - -irrad_data = pvlib.clearsky.ineichen(times, tus, linke_turbidity=None, zenith_data=solpos['apparent_zenith']) -ax = axes[0] -irrad_data.plot(ax=ax) -ax.set_title('LT lookup table') -ax.set_ylabel('Irradiance W/m^2') - -irrad_data = pvlib.clearsky.ineichen(times, tus, linke_turbidity=2.0, zenith_data=solpos['apparent_zenith']) -ax = axes[1] -irrad_data.plot(ax=ax) -ax.set_title('LT=2.0') - -irrad_data35 = pvlib.clearsky.ineichen(times, tus, linke_turbidity=3.5, zenith_data=solpos['apparent_zenith']) -ax = axes[2] -irrad_data35.plot(ax=ax) -ax.set_title('LT=3.5') - - -# Here's a comparison between the clear sky algorithms. -ineichen_data = pvlib.clearsky.ineichen(times, tus, linke_turbidity=None, zenith_data=solpos['apparent_zenith']) -haurwitz_data = pvlib.clearsky.haurwitz(solpos['apparent_zenith']) - -ineichen_data['ghi'].plot(label='Ineichen') -haurwitz_data['ghi'].plot(label='Haurwitz') -plt.ylabel('Irradiance W/m^2') -plt.legend() - - -# ### Diffuse ground - -# The ``grounddiffuse`` function has a few different ways to obtain the diffuse light reflected from the ground given an surface tilt and the GHI. - -# First, you can specify the albedo of ground. -ground_irrad = pvlib.irradiance.grounddiffuse(40, irrad_data['ghi'], albedo=.25) -ground_irrad.plot() -plt.ylabel('Diffuse ground irradiance (W/m^2)') - - -# Alternatively, you can specify the surface type with a string such as ``'concrete'`` or ``'snow'``. All of the available ``surface_type`` options are show in the plot below. -try: - sns.set_palette('husl', len(pvlib.irradiance.SURFACE_ALBEDOS.items())) -except: - pass - -for surface, albedo in sorted(pvlib.irradiance.SURFACE_ALBEDOS.items(), key=lambda x: x[1], reverse=True): - ground_irrad = pvlib.irradiance.grounddiffuse(40, irrad_data['ghi'], surface_type=surface) - ground_irrad.plot(label='{}: {}'.format(surface, albedo)) - -plt.legend() -plt.ylabel('Diffuse ground irradiance (W/m^2)') -plt.title('Surface types') - - -# Next, vary the tilt angle. We expect to see maximum ground diffuse irradiance at a 90 deg tilt, and no ground diffuse irradiance at 0 tilt. -for surf_tilt in np.linspace(0, 90, 5): - ground_irrad = pvlib.irradiance.grounddiffuse(surf_tilt, irrad_data['ghi']) - ground_irrad.plot(label=surf_tilt) - -plt.legend() -plt.ylabel('Diffuse ground irradiance (W/m^2)') -plt.title('Ground diffuse as a function of tilt') - -try: - sns.set_palette('deep') -except: - pass - - -# ### Diffuse sky - -# ``pvlib`` has many different ways to calculate the diffuse sky component of GHI. -# -# The API for some of these functions needs some work. -# -# 1. [Isotropic](#Isotropic-model) -# 2. [Klucher](#Klucher-model) -# 2. [Reindl](#Reindl-model) -# 2. [Hay-Davies](#Hay-Davies-model) -# 2. [Perez](#Perez-model) - -# ### Isotropic model - -# The ``isotropic`` model is the simplest model. -sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data['dhi']) -sky_diffuse.plot(label='isotropic diffuse') -irrad_data['dhi'].plot() -irrad_data['ghi'].plot() -plt.legend() -plt.ylabel('Irradiance (W/m^2)') - - -# Compare just the POA diffuse to the input DHI. -sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data['dhi']) -sky_diffuse.plot(label='isotropic diffuse') -irrad_data['dhi'].plot() -plt.legend() -plt.ylabel('Irradiance (W/m^2)') - - -# ### Klucher model -surf_tilt = 40 -surf_az = 180 - -sky_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -sky_diffuse.plot(label='klucher diffuse') -irrad_data['dhi'].plot() -#irrad_data['ghi'].plot() -plt.legend() -plt.ylabel('Irradiance (W/m^2)') - -surf_tilt = 40 -surf_az = 180 # south facing - -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') - -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') - -irrad_data['dhi'].plot() - -plt.legend() -plt.ylabel('Irradiance (W/m^2)') - - -# Klucher as a function of surface azimuth. -surf_tilt = 40 - -irrad_data['dhi'].plot() - -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic') - -for surf_az in np.linspace(0, 270, 4): - klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) - klucher_diffuse.plot(label='klucher: {}'.format(surf_az)) - -plt.legend() - - -# Surface azimuth should not matter if tilt is 0. -surf_tilt = 0 - -irrad_data['dhi'].plot() - -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic') - -for surf_az in np.linspace(0, 270, 4): - klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) - klucher_diffuse.plot(label='klucher: {}'.format(surf_az)) - -plt.legend() - - -# ### Reindl model - -# South facing at latitude. -surf_tilt = 32 -surf_az = 180 # south facing - -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') - -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') - -dni_et = pvlib.irradiance.extraradiation(times.dayofyear) -reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -reindl_diffuse.plot(label='reindl diffuse') - -irrad_data['dhi'].plot() - -plt.legend() - - -# East facing -surf_tilt = 32 -surf_az = 90 - -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') - -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') - -dni_et = pvlib.irradiance.extraradiation(times.dayofyear) -reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -reindl_diffuse.plot(label='reindl diffuse') - -irrad_data['dhi'].plot() - -plt.legend() - - -# ### Hay-Davies model - -# Hay-Davies facing south. -surf_tilt = 32 -surf_az = 180 - -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') - -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') - -dni_et = pvlib.irradiance.extraradiation(times.dayofyear) - -haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -reindl_diffuse.plot(label='reindl diffuse') - -irrad_data['dhi'].plot() - -plt.legend() - - -# Facing east. -surf_tilt = 32 -surf_az = 90 - -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') - -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') - -dni_et = pvlib.irradiance.extraradiation(times.dayofyear) - -haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -reindl_diffuse.plot(label='reindl diffuse') - -irrad_data['dhi'].plot() - -plt.legend() - - -# Hay-Davies appears to be very similar to Reindl. Too similar? - -# ### King model -surf_tilt = 32 -surf_az = 90 - -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') - -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') - -dni_et = pvlib.irradiance.extraradiation(times.dayofyear) - -haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -king_diffuse = pvlib.irradiance.king(surf_tilt,irrad_data['dhi'], irrad_data['ghi'], ephem_data['azimuth']) -king_diffuse.plot(label='king diffuse') - -irrad_data['dhi'].plot() - -plt.legend() - - -# ### Perez model - -# This section walks through the Perez algorithm. -sun_zen = ephem_data['apparent_zenith'] -sun_az = ephem_data['azimuth'] -DNI = irrad_data['dni'] -DHI = irrad_data['dhi'] -DNI_ET = pvlib.irradiance.extraradiation(times.dayofyear) -AM = pvlib.atmosphere.relativeairmass(sun_zen) - -surf_tilt = 32 -surf_az = 180 - -kappa = 1.041 #for sun_zen in radians -z = np.radians(sun_zen) # convert to radians - -#Dhfilter = DHI > 0 - -# epsilon is the sky's clearness -eps = ( (DHI + DNI)/DHI + kappa*(z**3) ) / ( 1 + kappa*(z**3) ) - -eps.plot() - -ebin = eps.copy() -ebin[(eps<1.065)] = 1 -ebin[(eps>=1.065) & (eps<1.23)] = 2 -ebin[(eps>=1.23) & (eps<1.5)] = 3 -ebin[(eps>=1.5) & (eps<1.95)] = 4 -ebin[(eps>=1.95) & (eps<2.8)] = 5 -ebin[(eps>=2.8) & (eps<4.5)] = 6 -ebin[(eps>=4.5) & (eps<6.2)] = 7 -ebin[eps>=6.2] = 8 - -ebin.plot() -plt.ylim(0,9) - -ebin = ebin - 1 -ebin = ebin.dropna().astype(int) -ebin.plot() - -delta = DHI * AM / DNI_ET -delta = delta[ebin.index] -delta.plot() - -z = z[ebin.index] - -modelt = 'allsitescomposite1990' - -F1c, F2c = pvlib.irradiance._get_perez_coefficients(modelt) - -F1 = F1c[ebin,0] + F1c[ebin,1]*delta + F1c[ebin,2]*z -F1[F1<0]=0; -F1=F1.astype(float) - -#F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebinfilter] + F2c[ebin,2]*z[ebinfilter] -F2= F2c[ebin,0] + F2c[ebin,1]*delta + F2c[ebin,2]*z -F2[F2<0]=0 -F2=F2.astype(float) - -F1.plot(label='F1') -F2.plot(label='F2') -plt.legend() - -from pvlib import tools - -A = tools.cosd(surf_tilt)*tools.cosd(sun_zen) + tools.sind(surf_tilt)*tools.sind(sun_zen)*tools.cosd(sun_az-surf_az) #removed +180 from azimuth modifier: Rob Andrews October 19th 2012 -#A[A < 0] = 0 - -B = tools.cosd(sun_zen); -#B[B < pvl_tools.cosd(85)] = pvl_tools.cosd(85) - -A.plot(label='A') -B.plot(label='B') -plt.legend() - -sky_diffuse = DHI[ebin.index]*( 0.5* (1-F1)*(1+tools.cosd(surf_tilt))+F1 * A[ebin.index]/ B[ebin.index] + F2*tools.sind(surf_tilt)) -sky_diffuse[sky_diffuse < 0] = 0 - -sky_diffuse.plot() - - -# Compare the Perez model to others. -sun_zen = ephem_data['apparent_zenith'] -sun_az = ephem_data['azimuth'] -DNI = irrad_data['dni'] -DHI = irrad_data['dhi'] -DNI_ET = pvlib.irradiance.extraradiation(times.dayofyear) -AM = pvlib.atmosphere.relativeairmass(sun_zen) - -surf_tilt = 32 -surf_az = 180 - -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') - -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') - -dni_et = pvlib.irradiance.extraradiation(times.dayofyear) - -haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - AM) -perez_diffuse.plot(label='perez diffuse') - -irrad_data['dhi'].plot() - -plt.legend() - -sun_zen = ephem_data['apparent_zenith'] -sun_az = ephem_data['azimuth'] -DNI = irrad_data['dni'] -DHI = irrad_data['dhi'] -DNI_ET = pvlib.irradiance.extraradiation(times.dayofyear) -AM = pvlib.atmosphere.relativeairmass(sun_zen) - -surf_tilt = 32 -surf_az = 90 - -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') - -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') - -dni_et = pvlib.irradiance.extraradiation(times.dayofyear) - -haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - AM) -perez_diffuse.plot(label='perez diffuse') - -irrad_data['dhi'].plot() - -plt.legend() - - -# Examine the impact of the coeffecient selection. -perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - AM, modelt='allsitescomposite1990') -perez_diffuse.plot(label='allsitescomposite1990') - -perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - AM, modelt='phoenix1988') -perez_diffuse.plot(label='phoenix1988') - -plt.legend() - - -# ## Angle of incidence functions - -# The ``irradiance`` module has some convenience functions to help calculate the angle of incidence. - -# First, the angle of incidence. -proj = pvlib.irradiance.aoi(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth']) -proj.plot() - -#plt.ylim(-1.1,1.1) -plt.legend() - - -# AOI projection: the dot production of the surface normal and the vector to the sun. -proj = pvlib.irradiance.aoi_projection(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth']) -proj.plot() - -plt.ylim(-1.1,1.1) -plt.legend() - - -# The ratio between POA projection and the horizontal projection. -ratio = pvlib.irradiance.poa_horizontal_ratio(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth']) -ratio.plot() -plt.ylim(-4,4) - - -# This plot shows that an explicit dot product calculation gives the same result as ``aoi_projection``. -surf_tilt = 90 -surf_az = 90 - -sen_alt_rad = np.radians(90 - surf_tilt) -sen_azi_rad = np.radians(surf_az) - -alts = np.radians(90 - ephem_data['apparent_zenith']) -azis = np.radians(ephem_data['apparent_azimuth']) - -dotprod = np.cos(sen_alt_rad)*np.cos(alts)*np.cos(sen_azi_rad-azis) + np.sin(sen_alt_rad)*np.sin(alts) -dotprod.plot(label='dotprod') - -proj = pvlib.irradiance.aoi_projection(surf_tilt, surf_az, ephem_data['apparent_zenith'], ephem_data['azimuth']) -proj.plot() - -plt.ylim(-1.1,1.1) -plt.legend() - - -# ### total_irrad - -# There is an experimental convenience function ``total_irrad`` that aims to make it easier to play with different models. For now, we use it to make summary plots of the models explored above. - -# South facing with latitude tilt. -models = ['isotropic', 'klutcher', 'haydavies', 'reindl', 'king', 'perez'] -totals = {} - -for model in models: - total = pvlib.irradiance.total_irrad(32, 180, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - dni=irrad_data['dni'], ghi=irrad_data['ghi'], dhi=irrad_data['dhi'], - dni_extra=dni_et, airmass=AM, - model=model, - surface_type='urban') - totals[model] = total - total.plot() - plt.title(model) - plt.ylabel('Irradiance (W/m^2)') - - -plt.figure() -for model, total in totals.items(): - total['total'].plot(lw=.5, label=model) - -plt.legend() -plt.ylabel('Irradiance (W/m^2)') - - -# tilt = 0 -models = ['isotropic', 'klutcher', 'haydavies', 'reindl', 'king', 'perez'] -totals = {} - -for model in models: - total = pvlib.irradiance.total_irrad(0, 180, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - dni=irrad_data['dni'], ghi=irrad_data['ghi'], dhi=irrad_data['dhi'], - dni_extra=dni_et, airmass=AM, - model=model, - surface_type='urban') - totals[model] = total - total.plot() - plt.title(model) - plt.ylabel('Irradiance (W/m^2)') - - -plt.figure() -for model, total in totals.items(): - total['total'].plot(lw=.5, label=model) - -plt.legend() -plt.ylabel('Irradiance (W/m^2)') - - -# East facing with latitude tilt. -models = ['isotropic', 'klutcher', 'haydavies', 'reindl', 'king', 'perez'] -totals = {} - -for model in models: - total = pvlib.irradiance.total_irrad(32, 90, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - dni=irrad_data['dni'], ghi=irrad_data['ghi'], dhi=irrad_data['dhi'], - dni_extra=dni_et, airmass=AM, - model=model, - surface_type='urban') - totals[model] = total - total.plot() - plt.title(model) - plt.ylabel('Irradiance (W/m^2)') - - -plt.figure() -for model, total in totals.items(): - total['total'].plot(lw=.5, label=model) - -plt.legend() -plt.ylabel('Irradiance (W/m^2)') - - - diff --git a/docs/tutorials/scripts/pvsystem.py b/docs/tutorials/scripts/pvsystem.py deleted file mode 100644 index 9725f1bad0..0000000000 --- a/docs/tutorials/scripts/pvsystem.py +++ /dev/null @@ -1,378 +0,0 @@ -# coding: utf-8 - -# # pvsystem tutorial - -# This tutorial explores the ``pvlib.pvsystem`` module. The module has functions for importing PV module and inverter data and functions for modeling module and inverter performance. -# -# 1. [systemdef](#systemdef) -# 2. [Angle of Incidence Modifiers](#Angle-of-Incidence-Modifiers) -# 2. [Sandia Cell Temp correction](#Sandia-Cell-Temp-correction) -# 2. [Sandia Inverter Model](#snlinverter) -# 2. [Sandia Array Performance Model](#SAPM) -# 1. [SAPM IV curves](#SAPM-IV-curves) -# 2. [DeSoto Model](#desoto) -# 2. [Single Diode Model](#Single-diode-model) -# -# This tutorial has been tested against the following package versions: -# * pvlib 0.2.0 -# * Python 2.7.10 -# * IPython 3.2 -# * Pandas 0.16.2 -# -# It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0. -# -# Authors: -# * Will Holmgren (@wholmgren), University of Arizona. 2015. -# built-in python modules -import os -import inspect -import datetime - -# scientific python add-ons -import numpy as np -import pandas as pd - -# plotting stuff -# first line makes the plots appear in the notebook -get_ipython().magic('matplotlib inline') -import matplotlib.pyplot as plt -# seaborn makes your plots look better -try: - import seaborn as sns - sns.set(rc={"figure.figsize": (12, 6)}) -except ImportError: - print('We suggest you install seaborn using conda or pip and rerun this cell') - -# finally, we import the pvlib library -import pvlib - -import pvlib -from pvlib import pvsystem - - -# ### systemdef - -# ``pvlib`` can import TMY2 and TMY3 data. Here, we import the example files. -pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) - -tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv')) -tmy2_data, tmy2_metadata = pvlib.tmy.readtmy2(os.path.join(pvlib_abspath, 'data', '12839.tm2')) - -pvlib.pvsystem.systemdef(tmy3_metadata, 0, 0, .1, 5, 5) - -pvlib.pvsystem.systemdef(tmy2_metadata, 0, 0, .1, 5, 5) - - -# ### Angle of Incidence Modifiers -angles = np.linspace(-180,180,3601) -ashraeiam = pd.Series(pvsystem.ashraeiam(.05, angles), index=angles) - -ashraeiam.plot() -plt.ylabel('ASHRAE modifier') -plt.xlabel('input angle (deg)') - -angles = np.linspace(-180,180,3601) -physicaliam = pd.Series(pvsystem.physicaliam(4, 0.002, 1.526, angles), index=angles) - -physicaliam.plot() -plt.ylabel('physical modifier') -plt.xlabel('input index') - -plt.figure() -ashraeiam.plot(label='ASHRAE') -physicaliam.plot(label='physical') -plt.ylabel('modifier') -plt.xlabel('input angle (deg)') -plt.legend() - - -# ### Sandia Cell Temp correction - -# PV system efficiency can vary by up to 0.5% per degree C, so it's important to accurately model cell and module temperature. The ``sapm_celltemp`` function uses plane of array irradiance, ambient temperature, wind speed, and module and racking type to calculate cell and module temperatures. From King et. al. (2004): -# -# $$T_m = E e^{a+b*WS} + T_a$$ -# -# $$T_c = T_m + \frac{E}{E_0} \Delta T$$ -# -# The $a$, $b$, and $\Delta T$ parameters depend on the module and racking type. The default parameter set is ``open_rack_cell_glassback``. - -# ``sapm_celltemp`` works with either scalar or vector inputs, but always returns a pandas DataFrame. -# scalar inputs -pvsystem.sapm_celltemp(900, 5, 20) # irrad, wind, temp - -# vector inputs -times = pd.DatetimeIndex(start='2015-01-01', end='2015-01-02', freq='12H') -temps = pd.Series([0, 10, 5], index=times) -irrads = pd.Series([0, 500, 0], index=times) -winds = pd.Series([10, 5, 0], index=times) - -pvtemps = pvsystem.sapm_celltemp(irrads, winds, temps) -pvtemps.plot() - - -# Cell and module temperature as a function of wind speed. -wind = np.linspace(0,20,21) -temps = pd.DataFrame(pvsystem.sapm_celltemp(900, wind, 20), index=wind) - -temps.plot() -plt.legend() -plt.xlabel('wind speed (m/s)') -plt.ylabel('temperature (deg C)') - - -# Cell and module temperature as a function of ambient temperature. -atemp = np.linspace(-20,50,71) -temps = pvsystem.sapm_celltemp(900, 2, atemp).set_index(atemp) - -temps.plot() -plt.legend() -plt.xlabel('ambient temperature (deg C)') -plt.ylabel('temperature (deg C)') - - -# Cell and module temperature as a function of incident irradiance. -irrad = np.linspace(0,1000,101) -temps = pvsystem.sapm_celltemp(irrad, 2, 20).set_index(irrad) - -temps.plot() -plt.legend() -plt.xlabel('incident irradiance (W/m**2)') -plt.ylabel('temperature (deg C)') - - -# Cell and module temperature for different module and racking types. -models = ['open_rack_cell_glassback', - 'roof_mount_cell_glassback', - 'open_rack_cell_polymerback', - 'insulated_back_polymerback', - 'open_rack_polymer_thinfilm_steel', - '22x_concentrator_tracker'] - -temps = pd.DataFrame(index=['temp_cell','temp_module']) - -for model in models: - temps[model] = pd.Series(pvsystem.sapm_celltemp(1000, 5, 20, model=model).ix[0]) - -temps.T.plot(kind='bar') # try removing the transpose operation and replotting -plt.legend() -plt.ylabel('temperature (deg C)') - - -# ### snlinverter -inverters = pvsystem.retrieve_sam('sandiainverter') -inverters - -vdcs = pd.Series(np.linspace(0,50,51)) -idcs = pd.Series(np.linspace(0,11,110)) -pdcs = idcs * vdcs - -pacs = pvsystem.snlinverter(inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_'], vdcs, pdcs) -#pacs.plot() -plt.plot(pacs, pdcs) -plt.ylabel('ac power') -plt.xlabel('dc power') - - -# Need to put more effort into describing this function. - -# ### SAPM - -# The CEC module database. -cec_modules = pvsystem.retrieve_sam('cecmod') -cec_modules - -cecmodule = cec_modules.Example_Module -cecmodule - - -# The Sandia module database. -sandia_modules = pvsystem.retrieve_sam(name='SandiaMod') -sandia_modules - -sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_ -sandia_module - - -# Generate some irradiance data for modeling. -from pvlib import clearsky -from pvlib import irradiance -from pvlib import atmosphere -from pvlib.location import Location - -tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') -times = pd.date_range(start=datetime.datetime(2014,4,1), end=datetime.datetime(2014,4,2), freq='30s') -ephem_data = pvlib.solarposition.get_solarposition(times, tus) -irrad_data = clearsky.ineichen(times, tus) -#irrad_data.plot() - -aoi = irradiance.aoi(0, 0, ephem_data['apparent_zenith'], ephem_data['azimuth']) -#plt.figure() -#aoi.plot() - -am = atmosphere.relativeairmass(ephem_data['apparent_zenith']) - -# a hot, sunny spring day in the desert. -temps = pvsystem.sapm_celltemp(irrad_data['ghi'], 0, 30) - - -# Now we can run the module parameters and the irradiance data through the SAPM function. -sapm_1 = pvsystem.sapm(sandia_module, irrad_data['dni']*np.cos(np.radians(aoi)), - irrad_data['ghi'], temps['temp_cell'], am, aoi) -sapm_1.head() - -def plot_sapm(sapm_data): - """ - Makes a nice figure with the SAPM data. - - Parameters - ---------- - sapm_data : DataFrame - The output of ``pvsystem.sapm`` - """ - fig, axes = plt.subplots(2, 3, figsize=(16,10), sharex=False, sharey=False, squeeze=False) - plt.subplots_adjust(wspace=.2, hspace=.3) - - ax = axes[0,0] - sapm_data.filter(like='i_').plot(ax=ax) - ax.set_ylabel('Current (A)') - - ax = axes[0,1] - sapm_data.filter(like='v_').plot(ax=ax) - ax.set_ylabel('Voltage (V)') - - ax = axes[0,2] - sapm_data.filter(like='p_').plot(ax=ax) - ax.set_ylabel('Power (W)') - - ax = axes[1,0] - [ax.plot(sapm_data['effective_irradiance'], current, label=name) for name, current in - sapm_data.filter(like='i_').iteritems()] - ax.set_ylabel('Current (A)') - ax.set_xlabel('Effective Irradiance') - ax.legend(loc=2) - - ax = axes[1,1] - [ax.plot(sapm_data['effective_irradiance'], voltage, label=name) for name, voltage in - sapm_data.filter(like='v_').iteritems()] - ax.set_ylabel('Voltage (V)') - ax.set_xlabel('Effective Irradiance') - ax.legend(loc=4) - - ax = axes[1,2] - ax.plot(sapm_data['effective_irradiance'], sapm_data['p_mp'], label='p_mp') - ax.set_ylabel('Power (W)') - ax.set_xlabel('Effective Irradiance') - ax.legend(loc=2) - - # needed to show the time ticks - for ax in axes.flatten(): - for tk in ax.get_xticklabels(): - tk.set_visible(True) - -plot_sapm(sapm_1) - - -# For comparison, here's the SAPM for a sunny, windy, cold version of the same day. -temps = pvsystem.sapm_celltemp(irrad_data['ghi'], 10, 5) - -sapm_2 = pvsystem.sapm(sandia_module, irrad_data['dni']*np.cos(np.radians(aoi)), - irrad_data['dhi'], temps['temp_cell'], am, aoi) - -plot_sapm(sapm_2) - -sapm_1['p_mp'].plot(label='30 C, 0 m/s') -sapm_2['p_mp'].plot(label=' 5 C, 10 m/s') -plt.legend() -plt.ylabel('Pmp') -plt.title('Comparison of a hot, calm day and a cold, windy day') - - -# #### SAPM IV curves - -# The IV curve function only calculates the 5 points of the SAPM. We will add arbitrary points in a future release, but for now we just interpolate between the 5 SAPM points. -import warnings -warnings.simplefilter('ignore', np.RankWarning) - -def sapm_to_ivframe(sapm_row): - pnt = sapm_row.T.ix[:,0] - - ivframe = {'Isc': (pnt['i_sc'], 0), - 'Pmp': (pnt['i_mp'], pnt['v_mp']), - 'Ix': (pnt['i_x'], 0.5*pnt['v_oc']), - 'Ixx': (pnt['i_xx'], 0.5*(pnt['v_oc']+pnt['v_mp'])), - 'Voc': (0, pnt['v_oc'])} - ivframe = pd.DataFrame(ivframe, index=['current', 'voltage']).T - ivframe = ivframe.sort('voltage') - - return ivframe - -def ivframe_to_ivcurve(ivframe, points=100): - ivfit_coefs = np.polyfit(ivframe['voltage'], ivframe['current'], 30) - fit_voltages = np.linspace(0, ivframe.ix['Voc', 'voltage'], points) - fit_currents = np.polyval(ivfit_coefs, fit_voltages) - - return fit_voltages, fit_currents - -sapm_to_ivframe(sapm_1['2014-04-01 10:00:00']) - -times = ['2014-04-01 07:00:00', '2014-04-01 08:00:00', '2014-04-01 09:00:00', - '2014-04-01 10:00:00', '2014-04-01 11:00:00', '2014-04-01 12:00:00'] -times.reverse() - -fig, ax = plt.subplots(1, 1, figsize=(12,8)) - -for time in times: - ivframe = sapm_to_ivframe(sapm_1[time]) - - fit_voltages, fit_currents = ivframe_to_ivcurve(ivframe) - - ax.plot(fit_voltages, fit_currents, label=time) - ax.plot(ivframe['voltage'], ivframe['current'], 'ko') - -ax.set_xlabel('Voltage (V)') -ax.set_ylabel('Current (A)') -ax.set_ylim(0, None) -ax.set_title('IV curves at multiple times') -ax.legend() - - -# ### desoto - -# The same data run through the desoto model. -photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = ( - pvsystem.calcparams_desoto(irrad_data.ghi, - temp_cell=temps['temp_cell'], - alpha_isc=cecmodule['alpha_sc'], - module_parameters=cecmodule, - EgRef=1.121, - dEgdT=-0.0002677) ) - -photocurrent.plot() -plt.ylabel('Light current I_L (A)') - -saturation_current.plot() -plt.ylabel('Saturation current I_0 (A)') - -resistance_series - -resistance_shunt.plot() -plt.ylabel('Shunt resistance (ohms)') -plt.ylim(0,100) - -nNsVth.plot() -plt.ylabel('nNsVth') - - -# ### Single diode model -single_diode_out = pvsystem.singlediode(cecmodule, photocurrent, saturation_current, - resistance_series, resistance_shunt, nNsVth) -single_diode_out - -single_diode_out['i_sc'].plot() - -single_diode_out['v_oc'].plot() - -single_diode_out['p_mp'].plot() - - - diff --git a/docs/tutorials/scripts/solarposition.py b/docs/tutorials/scripts/solarposition.py deleted file mode 100644 index 1e4b2cbc2f..0000000000 --- a/docs/tutorials/scripts/solarposition.py +++ /dev/null @@ -1,267 +0,0 @@ -# coding: utf-8 - -# # ``solarposition.py`` tutorial -# -# This tutorial needs your help to make it better! -# -# Table of contents: -# 1. [Setup](#Setup) -# 2. [SPA output](#SPA-output) -# 2. [Speed tests](#Speed-tests) -# -# This tutorial has been tested against the following package versions: -# * pvlib 0.2.0 -# * Python 2.7.10 -# * IPython 3.2 -# * Pandas 0.16.2 -# -# It should work with other Python and Pandas versions. It requires pvlib > 0.2.0 and IPython > 3.0. -# -# Authors: -# * Will Holmgren (@wholmgren), University of Arizona. July 2014, July 2015. - -# ## Setup -import datetime - -# scientific python add-ons -import numpy as np -import pandas as pd - -# plotting stuff -# first line makes the plots appear in the notebook -get_ipython().magic('matplotlib inline') -import matplotlib.pyplot as plt -# seaborn makes your plots look better -try: - import seaborn as sns - sns.set(rc={"figure.figsize": (12, 6)}) -except ImportError: - print('We suggest you install seaborn using conda or pip and rerun this cell') - -# finally, we import the pvlib library -import pvlib - -import pvlib -from pvlib.location import Location - - -# ## SPA output -tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') -print(tus) -golden = Location(39.742476, -105.1786, 'America/Denver', 1830, 'Golden') -print(golden) -golden_mst = Location(39.742476, -105.1786, 'MST', 1830, 'Golden MST') -print(golden_mst) -berlin = Location(52.5167, 13.3833, 'Europe/Berlin', 34, 'Berlin') -print(berlin) - -times = pd.date_range(start=datetime.datetime(2014,6,23), end=datetime.datetime(2014,6,24), freq='1Min') -times_loc = times.tz_localize(tus.pytz) - -times - -pyephemout = pvlib.solarposition.pyephem(times, tus) -spaout = pvlib.solarposition.spa_python(times, tus) - -reload(pvlib.solarposition) -pyephemout = pvlib.solarposition.pyephem(times_loc, tus) -spaout = pvlib.solarposition.spa_python(times_loc, tus) - -pyephemout['elevation'].plot(label='pyephem') -pyephemout['apparent_elevation'].plot(label='pyephem apparent') -spaout['elevation'].plot(label='spa') -plt.legend(ncol=2) -plt.title('elevation') - -print('pyephem') -print(pyephemout.head()) -print('spa') -print(spaout.head()) - -plt.figure() -pyephemout['elevation'].plot(label='pyephem') -spaout['elevation'].plot(label='spa') -(pyephemout['elevation'] - spaout['elevation']).plot(label='diff') -plt.legend(ncol=3) -plt.title('elevation') - -plt.figure() -pyephemout['apparent_elevation'].plot(label='pyephem apparent') -spaout['elevation'].plot(label='spa') -(pyephemout['apparent_elevation'] - spaout['elevation']).plot(label='diff') -plt.legend(ncol=3) -plt.title('elevation') - -plt.figure() -pyephemout['apparent_zenith'].plot(label='pyephem apparent') -spaout['zenith'].plot(label='spa') -(pyephemout['apparent_zenith'] - spaout['zenith']).plot(label='diff') -plt.legend(ncol=3) -plt.title('zenith') - -plt.figure() -pyephemout['apparent_azimuth'].plot(label='pyephem apparent') -spaout['azimuth'].plot(label='spa') -(pyephemout['apparent_azimuth'] - spaout['azimuth']).plot(label='diff') -plt.legend(ncol=3) -plt.title('azimuth') - -reload(pvlib.solarposition) -pyephemout = pvlib.solarposition.pyephem(times, tus) -spaout = pvlib.solarposition.spa_python(times, tus) - -pyephemout['elevation'].plot(label='pyephem') -pyephemout['apparent_elevation'].plot(label='pyephem apparent') -spaout['elevation'].plot(label='spa') -plt.legend(ncol=3) -plt.title('elevation') - -print('pyephem') -print(pyephemout.head()) -print('spa') -print(spaout.head()) - -reload(pvlib.solarposition) -pyephemout = pvlib.solarposition.pyephem(times, golden) -spaout = pvlib.solarposition.spa_python(times, golden) - -pyephemout['elevation'].plot(label='pyephem') -pyephemout['apparent_elevation'].plot(label='pyephem apparent') -spaout['elevation'].plot(label='spa') -plt.legend(ncol=2) -plt.title('elevation') - -print('pyephem') -print(pyephemout.head()) -print('spa') -print(spaout.head()) - -pyephemout = pvlib.solarposition.pyephem(times, golden) -ephemout = pvlib.solarposition.ephemeris(times, golden) - -pyephemout['elevation'].plot(label='pyephem') -pyephemout['apparent_elevation'].plot(label='pyephem apparent') -ephemout['elevation'].plot(label='ephem') -plt.legend(ncol=2) -plt.title('elevation') - -print('pyephem') -print(pyephemout.head()) -print('ephem') -print(ephemout.head()) - -loc = berlin - -pyephemout = pvlib.solarposition.pyephem(times, loc) -ephemout = pvlib.solarposition.ephemeris(times, loc) - -pyephemout['elevation'].plot(label='pyephem') -pyephemout['apparent_elevation'].plot(label='pyephem apparent') -ephemout['elevation'].plot(label='ephem') -ephemout['apparent_elevation'].plot(label='ephem apparent') -plt.legend(ncol=2) -plt.title('elevation') - -print('pyephem') -print(pyephemout.head()) -print('ephem') -print(ephemout.head()) - -pyephemout['elevation'].plot(label='pyephem') -pyephemout['apparent_elevation'].plot(label='pyephem apparent') -ephemout['elevation'].plot(label='ephem') -ephemout['apparent_elevation'].plot(label='ephem apparent') -plt.legend(ncol=2) -plt.title('elevation') -plt.xlim(pd.Timestamp('2015-06-28 03:00:00+02:00'), pd.Timestamp('2015-06-28 06:00:00+02:00')) -plt.ylim(-10,10) - -loc = berlin -times = pd.DatetimeIndex(start=datetime.date(2015,3,28), end=datetime.date(2015,3,29), freq='5min') - -pyephemout = pvlib.solarposition.pyephem(times, loc) -ephemout = pvlib.solarposition.ephemeris(times, loc) - -pyephemout['elevation'].plot(label='pyephem') -pyephemout['apparent_elevation'].plot(label='pyephem apparent') -ephemout['elevation'].plot(label='ephem') -plt.legend(ncol=2) -plt.title('elevation') - -plt.figure() -pyephemout['azimuth'].plot(label='pyephem') -ephemout['azimuth'].plot(label='ephem') -plt.legend(ncol=2) -plt.title('azimuth') - -print('pyephem') -print(pyephemout.head()) -print('ephem') -print(ephemout.head()) - -loc = berlin -times = pd.DatetimeIndex(start=datetime.date(2015,3,30), end=datetime.date(2015,3,31), freq='5min') - -pyephemout = pvlib.solarposition.pyephem(times, loc) -ephemout = pvlib.solarposition.ephemeris(times, loc) - -pyephemout['elevation'].plot(label='pyephem') -pyephemout['apparent_elevation'].plot(label='pyephem apparent') -ephemout['elevation'].plot(label='ephem') -plt.legend(ncol=2) -plt.title('elevation') - -plt.figure() -pyephemout['azimuth'].plot(label='pyephem') -ephemout['azimuth'].plot(label='ephem') -plt.legend(ncol=2) -plt.title('azimuth') - -print('pyephem') -print(pyephemout.head()) -print('ephem') -print(ephemout.head()) - -loc = berlin -times = pd.DatetimeIndex(start=datetime.date(2015,6,28), end=datetime.date(2015,6,29), freq='5min') - -pyephemout = pvlib.solarposition.pyephem(times, loc) -ephemout = pvlib.solarposition.ephemeris(times, loc) - -pyephemout['elevation'].plot(label='pyephem') -pyephemout['apparent_elevation'].plot(label='pyephem apparent') -ephemout['elevation'].plot(label='ephem') -plt.legend(ncol=2) -plt.title('elevation') - -plt.figure() -pyephemout['azimuth'].plot(label='pyephem') -ephemout['azimuth'].plot(label='ephem') -plt.legend(ncol=2) -plt.title('azimuth') - -print('pyephem') -print(pyephemout.head()) -print('ephem') -print(ephemout.head()) - - -# ## Speed tests -get_ipython().run_cell_magic('timeit', '', '\npyephemout = pvlib.solarposition.pyephem(times, loc)\n#ephemout = pvlib.solarposition.ephemeris(times, loc)') - -get_ipython().run_cell_magic('timeit', '', '\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.ephemeris(times, loc)') - -get_ipython().run_cell_magic('timeit', '', "\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times, loc, method='nrel_numpy')") - - -# This numba test will only work properly if you have installed numba. -get_ipython().run_cell_magic('timeit', '', "\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times, loc, method='nrel_numba')") - - -# The numba calculation takes a long time the first time that it's run because it uses LLVM to compile the Python code to machine code. After that it's about 4-10 times faster depending on your machine. You can pass a ``numthreads`` argument to this function. The optimum ``numthreads`` depends on your machine and is equal to 4 by default. -get_ipython().run_cell_magic('timeit', '', "\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times, loc, method='nrel_numba', numthreads=16)") - -get_ipython().run_cell_magic('timeit', '', "\nephemout = pvlib.solarposition.spa_python(times, loc, how='numba', numthreads=16)") - - - diff --git a/docs/tutorials/scripts/tmy.py b/docs/tutorials/scripts/tmy.py deleted file mode 100644 index a6dd520fc8..0000000000 --- a/docs/tutorials/scripts/tmy.py +++ /dev/null @@ -1,72 +0,0 @@ -# coding: utf-8 - -# # TMY tutorial -# -# This tutorial shows how to use the ``pvlib.tmy`` module to read data from TMY2 and TMY3 files. -# -# This tutorial has been tested against the following package versions: -# * pvlib 0.2.1 -# * Python 2.7.10 -# * IPython 3.2 -# * pandas 0.16.2 -# -# Authors: -# * Will Holmgren (@wholmgren), University of Arizona. July 2014, July 2015. - -# ## Import modules -# built in python modules -import datetime -import os -import inspect - -# python add-ons -import numpy as np -import pandas as pd - -# plotting libraries -get_ipython().magic('matplotlib inline') -import matplotlib.pyplot as plt -try: - import seaborn as sns -except ImportError: - pass - -import pvlib - - -# pvlib comes packaged with a TMY2 and a TMY3 data file. -# Find the absolute file path to your pvlib installation -pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) - - -# Import the TMY data using the functions in the ``pvlib.tmy`` module. -tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv')) -tmy2_data, tmy2_metadata = pvlib.tmy.readtmy2(os.path.join(pvlib_abspath, 'data', '12839.tm2')) - - -# Print the TMY3 metadata and the first 5 lines of the data. -print(tmy3_metadata) -tmy3_data.head(5) - -tmy3_data['GHI'].plot() - - -# The TMY readers have an optional argument to coerce the year to a single value. -tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv'), coerce_year=1987) - -tmy3_data['GHI'].plot() - - -# Here's the TMY2 data. -print(tmy2_metadata) -print(tmy2_data.head()) - - -# Finally, the TMY readers can access TMY files directly from the NREL website. -tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3('http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/data/tmy3/722740TYA.CSV', coerce_year=2015) - -tmy3_data['GHI'].plot(figsize=(12,6)) -plt.title('Tucson TMY GHI') - - - diff --git a/docs/tutorials/scripts/tmy_and_diffuse_irrad_models.py b/docs/tutorials/scripts/tmy_and_diffuse_irrad_models.py deleted file mode 100644 index 3c50900287..0000000000 --- a/docs/tutorials/scripts/tmy_and_diffuse_irrad_models.py +++ /dev/null @@ -1,189 +0,0 @@ -# coding: utf-8 - -# # TMY data and diffuse irradiance models -# -# This tutorial explores using TMY data as inputs to different plane of array diffuse irradiance models. -# -# This tutorial has been tested against the following package versions: -# * pvlib 0.2.0 -# * Python 2.7.10 -# * IPython 3.2 -# * pandas 0.16.2 -# -# It should work with other Python and Pandas versions. It requires pvlib > 0.2.0 and IPython > 3.0. -# -# Authors: -# * Rob Andrews (@Calama-Consulting), Heliolytics, June 2014 -# * Will Holmgren (@wholmgren), University of Arizona, July 2015 - -# ## Setup - -# See the ``tmy_to_power`` tutorial for more detailed explanations for the initial setup -# built-in python modules -import os -import inspect - -# scientific python add-ons -import numpy as np -import pandas as pd - -# plotting stuff -# first line makes the plots appear in the notebook -get_ipython().magic('matplotlib inline') -import matplotlib.pyplot as plt -# seaborn makes your plots look better -try: - import seaborn as sns - sns.set(rc={"figure.figsize": (12, 6)}) -except ImportError: - print('We suggest you install seaborn using conda or pip and rerun this cell') - -# finally, we import the pvlib library -import pvlib - -# Find the absolute file path to your pvlib installation -pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) - -# absolute path to a data file -datapath = os.path.join(pvlib_abspath, 'data', '703165TY.csv') - -# read tmy data with year values coerced to a single year -tmy_data, meta = pvlib.tmy.readtmy3(datapath, coerce_year=2015) -tmy_data.index.name = 'Time' - -# TMY data seems to be given as hourly data with time stamp at the end -# shift the index 30 Minutes back for calculation of sun positions -tmy_data = tmy_data.shift(freq='-30Min') - -tmy_data.GHI.plot() -plt.ylabel('Irradiance (W/m**2)') - -tmy_data.DHI.plot() -plt.ylabel('Irradiance (W/m**2)') - -surface_tilt = 30 -surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention -albedo = 0.2 - -# create pvlib Location object based on meta data -sand_point = pvlib.location.Location(meta['latitude'], meta['longitude'], tz='US/Alaska', - altitude=meta['altitude'], name=meta['Name'].replace('"','')) -print(sand_point) - -solpos = pvlib.solarposition.get_solarposition(tmy_data.index, sand_point) - -solpos.plot() - -# the extraradiation function returns a simple numpy array -# instead of a nice pandas series. We will change this -# in a future version -dni_extra = pvlib.irradiance.extraradiation(tmy_data.index) -dni_extra = pd.Series(dni_extra, index=tmy_data.index) - -dni_extra.plot() -plt.ylabel('Extra terrestrial radiation (W/m**2)') - -airmass = pvlib.atmosphere.relativeairmass(solpos['apparent_zenith']) - -airmass.plot() -plt.ylabel('Airmass') - - -# ## Diffuse irradiance models - -# Make an empty pandas DataFrame for the results. -diffuse_irrad = pd.DataFrame(index=tmy_data.index) - -models = ['Perez', 'Hay-Davies', 'Isotropic', 'King', 'Klucher', 'Reindl'] - - -# ### Perez -diffuse_irrad['Perez'] = pvlib.irradiance.perez(surface_tilt, - surface_azimuth, - dhi=tmy_data.DHI, - dni=tmy_data.DNI, - dni_extra=dni_extra, - solar_zenith=solpos.apparent_zenith, - solar_azimuth=solpos.azimuth, - airmass=airmass) - - -# ### HayDavies -diffuse_irrad['Hay-Davies'] = pvlib.irradiance.haydavies(surface_tilt, - surface_azimuth, - dhi=tmy_data.DHI, - dni=tmy_data.DNI, - dni_extra=dni_extra, - solar_zenith=solpos.apparent_zenith, - solar_azimuth=solpos.azimuth) - - -# ### Isotropic -diffuse_irrad['Isotropic'] = pvlib.irradiance.isotropic(surface_tilt, - dhi=tmy_data.DHI) - - -# ### King Diffuse model -diffuse_irrad['King'] = pvlib.irradiance.king(surface_tilt, - dhi=tmy_data.DHI, - ghi=tmy_data.GHI, - solar_zenith=solpos.apparent_zenith) - - -# ### Klucher Model -diffuse_irrad['Klucher'] = pvlib.irradiance.klucher(surface_tilt, surface_azimuth, - dhi=tmy_data.DHI, - ghi=tmy_data.GHI, - solar_zenith=solpos.apparent_zenith, - solar_azimuth=solpos.azimuth) - - -# ### Reindl -diffuse_irrad['Reindl'] = pvlib.irradiance.reindl(surface_tilt, - surface_azimuth, - dhi=tmy_data.DHI, - dni=tmy_data.DNI, - ghi=tmy_data.GHI, - dni_extra=dni_extra, - solar_zenith=solpos.apparent_zenith, - solar_azimuth=solpos.azimuth) - - -# Calculate yearly, monthly, daily sums. -yearly = diffuse_irrad.resample('A', how='sum').dropna().squeeze() / 1000.0 # kWh -monthly = diffuse_irrad.resample('M', how='sum', kind='period') / 1000.0 -daily = diffuse_irrad.resample('D', how='sum') / 1000.0 - - -# ## Plot Results -ax = diffuse_irrad.plot(title='In-plane diffuse irradiance', alpha=.75, lw=1) -ax.set_ylim(0, 800) -ylabel = ax.set_ylabel('Diffuse Irradiance [W]') -plt.legend() - -diffuse_irrad.describe() - -diffuse_irrad.dropna().plot(kind='density') - - -# Daily -ax_daily = daily.tz_convert('UTC').plot(title='Daily diffuse irradiation') -ylabel = ax_daily.set_ylabel('Irradiation [kWh]') - - -# Monthly -ax_monthly = monthly.plot(title='Monthly average diffuse irradiation', kind='bar') -ylabel = ax_monthly.set_ylabel('Irradiation [kWh]') - - -# Yearly -yearly.plot(kind='barh') - - -# Compute the mean deviation from measured for each model and display as a function of the model -mean_yearly = yearly.mean() -yearly_mean_deviation = (yearly - mean_yearly) / yearly * 100.0 -yearly_mean_deviation.plot(kind='bar') - - - diff --git a/docs/tutorials/scripts/tmy_to_power.py b/docs/tutorials/scripts/tmy_to_power.py deleted file mode 100644 index 5c0c0a1ab6..0000000000 --- a/docs/tutorials/scripts/tmy_to_power.py +++ /dev/null @@ -1,417 +0,0 @@ -# coding: utf-8 - -# # TMY to Power Tutorial -# -# This tutorial will walk through the process of going from TMY data to AC power using the SAPM. -# -# Table of contents: -# 1. [Setup](#Setup) -# 2. [Load TMY data](#Load-TMY-data) -# 2. [Calculate modeling intermediates](#Calculate-modeling-intermediates) -# 2. [DC power using SAPM](#DC-power-using-SAPM) -# 2. [AC power using SAPM](#AC-power-using-SAPM) -# -# This tutorial has been tested against the following package versions: -# * pvlib 0.2.0 -# * Python 2.7.10 -# * IPython 3.2 -# * pandas 0.16.2 -# -# It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0. -# -# Authors: -# * Will Holmgren (@wholmgren), University of Arizona, July 2015 -# * Rob Andrews (@Calama-Consulting), Heliolytics, June 2014 - -# ## Setup - -# These are just your standard interactive scientific python imports that you'll get very used to using. -# built-in python modules -import os -import inspect - -# scientific python add-ons -import numpy as np -import pandas as pd - -# plotting stuff -# first line makes the plots appear in the notebook -get_ipython().magic('matplotlib inline') -import matplotlib.pyplot as plt -import matplotlib as mpl -# seaborn makes your plots look better -try: - import seaborn as sns - sns.set(rc={"figure.figsize": (12, 6)}) - sns.set_color_codes() -except ImportError: - print('We suggest you install seaborn using conda or pip and rerun this cell') - -# finally, we import the pvlib library -import pvlib - - -# ## Load TMY data - -# pvlib comes with a couple of TMY files, and we'll use one of them for simplicity. You could also load a file from disk, or specify a url. See this NREL website for a list of TMY files: -# -# http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/by_state_and_city.html -# Find the absolute file path to your pvlib installation -pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) - -# absolute path to a data file -datapath = os.path.join(pvlib_abspath, 'data', '703165TY.csv') - -# read tmy data with year values coerced to a single year -tmy_data, meta = pvlib.tmy.readtmy3(datapath, coerce_year=2015) -tmy_data.index.name = 'Time' - -# TMY data seems to be given as hourly data with time stamp at the end -# shift the index 30 Minutes back for calculation of sun positions -tmy_data = tmy_data.shift(freq='-30Min') - - -# The file handling above looks complicated because we're trying to account for the many different ways that people will run this notebook on their systems. You can just put a simple string path into the ``readtmy3`` function if you know where the file is. - -# Let's look at the imported version of the TMY file. -tmy_data.head() - - -# This is a ``pandas DataFrame`` object. It has a lot of great properties that are beyond the scope of our tutorials. - -# Plot the GHI data from the TMY file -tmy_data['GHI'].plot() -plt.ylabel('Irradiance (W/m**2)') - - -# ## Calculate modeling intermediates - -# Before we can calculate power for all times in the TMY file, we will need to calculate: -# * solar position -# * extra terrestrial radiation -# * airmass -# * angle of incidence -# * POA sky and ground diffuse radiation -# * cell and module temperatures - -# First, define some PV system parameters. -surface_tilt = 30 -surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention -albedo = 0.2 - -# create pvlib Location object based on meta data -sand_point = pvlib.location.Location(meta['latitude'], meta['longitude'], tz='US/Alaska', - altitude=meta['altitude'], name=meta['Name'].replace('"','')) -print(sand_point) - - -# ### Solar position - -# Calculate the solar position for all times in the TMY file. -# -# The default solar position algorithm is based on Reda and Andreas (2004). Our implementation is pretty fast, but you can make it even faster if you install [``numba``](http://numba.pydata.org/#installing) and use add ``method='nrel_numba'`` to the function call below. -solpos = pvlib.solarposition.get_solarposition(tmy_data.index, sand_point) - -solpos.plot() - - -# The funny looking jump in the azimuth is just due to the coarse time sampling in the TMY file. - -# ### DNI ET -# -# Calculate extra terrestrial radiation. This is needed for many plane of array diffuse irradiance models. -# the extraradiation function returns a simple numpy array -# instead of a nice pandas series. We will change this -# in a future version -dni_extra = pvlib.irradiance.extraradiation(tmy_data.index) -dni_extra = pd.Series(dni_extra, index=tmy_data.index) - -dni_extra.plot() -plt.ylabel('Extra terrestrial radiation (W/m**2)') - - -# ### Airmass -# -# Calculate airmass. Lots of model options here, see the ``atmosphere`` module tutorial for more details. -airmass = pvlib.atmosphere.relativeairmass(solpos['apparent_zenith']) - -airmass.plot() -plt.ylabel('Airmass') - - -# The funny appearance is due to aliasing and setting invalid numbers equal to ``NaN``. Replot just a day or two and you'll see that the numbers are right. - -# ### POA sky diffuse - -# Use the Hay Davies model to calculate the plane of array diffuse sky radiation. See the ``irradiance`` module tutorial for comparisons of different models. -poa_sky_diffuse = pvlib.irradiance.haydavies(surface_tilt, surface_azimuth, - tmy_data['DHI'], tmy_data['DNI'], dni_extra, - solpos['apparent_zenith'], solpos['azimuth']) - -poa_sky_diffuse.plot() -plt.ylabel('Irradiance (W/m**2)') - - -# ### POA ground diffuse -# -# Calculate ground diffuse. We specified the albedo above. You could have also provided a string to the ``surface_type`` keyword argument. -poa_ground_diffuse = pvlib.irradiance.grounddiffuse(surface_tilt, tmy_data['GHI'], albedo=albedo) - -poa_ground_diffuse.plot() -plt.ylabel('Irradiance (W/m**2)') - - -# ### AOI -# -# Calculate AOI -aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth, solpos['apparent_zenith'], solpos['azimuth']) - -aoi.plot() -plt.ylabel('Angle of incidence (deg)') - - -# Note that AOI has values greater than 90 deg. This is ok. - -# ### POA total -# -# Calculate POA irradiance -poa_irrad = pvlib.irradiance.globalinplane(aoi, tmy_data['DNI'], poa_sky_diffuse, poa_ground_diffuse) - -poa_irrad.plot() -plt.ylabel('Irradiance (W/m**2)') -plt.title('POA Irradiance') - - -# ### Cell and module temperature -# -# Calculate pv cell and module temperature -pvtemps = pvlib.pvsystem.sapm_celltemp(poa_irrad['poa_global'], tmy_data['Wspd'], tmy_data['DryBulb']) - -pvtemps.plot() -plt.ylabel('Temperature (C)') - - -# ## DC power using SAPM - -# Get module data from the web. -sandia_modules = pvlib.pvsystem.retrieve_sam(name='SandiaMod') - - -# Choose a particular module -sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_ -sandia_module - - -# Run the SAPM using the parameters we calculated above. -sapm_out = pvlib.pvsystem.sapm(sandia_module, poa_irrad.poa_direct, poa_irrad.poa_diffuse, - pvtemps['temp_cell'], airmass, aoi) -print(sapm_out.head()) - -sapm_out[['p_mp']].plot() -plt.ylabel('DC Power (W)') - - -# ## DC power using single diode -cec_modules = pvlib.pvsystem.retrieve_sam(name='CECMod') -cec_module = cec_modules.Canadian_Solar_CS5P_220M - -photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = ( - pvlib.pvsystem.calcparams_desoto(poa_irrad.poa_global, - temp_cell=pvtemps['temp_cell'], - alpha_isc=cec_module['alpha_sc'], - module_parameters=cec_module, - EgRef=1.121, - dEgdT=-0.0002677) ) - -single_diode_out = pvlib.pvsystem.singlediode(cec_module, photocurrent, saturation_current, - resistance_series, resistance_shunt, nNsVth) - -single_diode_out[['p_mp']].plot() -plt.ylabel('DC Power (W)') - - -# ## AC power using SAPM - -# Get the inverter database from the web -sapm_inverters = pvlib.pvsystem.retrieve_sam('sandiainverter') - - -# Choose a particular inverter -sapm_inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_'] -sapm_inverter - -p_acs = pd.DataFrame() -p_acs['sapm'] = pvlib.pvsystem.snlinverter(sapm_inverter, sapm_out.v_mp, sapm_out.p_mp) -p_acs['sd'] = pvlib.pvsystem.snlinverter(sapm_inverter, single_diode_out.v_mp, single_diode_out.p_mp) - -p_acs.plot() -plt.ylabel('AC Power (W)') - -diff = p_acs['sapm'] - p_acs['sd'] -diff.plot() -plt.ylabel('SAPM - SD Power (W)') - - -# Plot just a few days. -p_acs['2015-07-05':'2015-07-06'].plot() - - -# Some statistics on the AC power -p_acs.describe() - -p_acs.sum() - -# create data for a y=x line -p_ac_max = p_acs.max().max() -yxline = np.arange(0, p_ac_max) - -fig = plt.figure(figsize=(12,12)) -ax = fig.add_subplot(111, aspect='equal') -sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=poa_irrad.poa_global, alpha=1, cmap=mpl.cm.YlGnBu_r) -ax.plot(yxline, yxline, 'r', linewidth=3) -ax.set_xlim(0, None) -ax.set_ylim(0, None) -ax.set_xlabel('Single Diode model') -ax.set_ylabel('Sandia model') -fig.colorbar(sc, label='POA Global (W/m**2)') - - -# We can change the value of color value ``c`` to see the sensitivity of model accuracy to measured meterological conditions. It can be useful to define a simple plotting function for this kind of exploratory analysis. -def sapm_sd_scatter(c_data, label=None, **kwargs): - """Display a scatter plot of SAPM p_ac vs. single diode p_ac. - - You need to re-execute this cell if you re-run the p_ac calculation. - - Parameters - ---------- - c_data : array-like - Determines the color of each point on the scatter plot. - Must be same length as p_acs. - - kwargs passed to ``scatter``. - - Returns - ------- - tuple of fig, ax objects - """ - - fig = plt.figure(figsize=(12,12)) - ax = fig.add_subplot(111, aspect='equal') - sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=c_data, alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) - ax.plot(yxline, yxline, 'r', linewidth=3) - ax.set_xlim(0, None) - ax.set_ylim(0, None) - ax.set_xlabel('Single diode model power (W)') - ax.set_ylabel('Sandia model power (W)') - fig.colorbar(sc, label='{}'.format(label), shrink=0.75) - - return fig, ax - -sapm_sd_scatter(tmy_data.DryBulb, label='Temperature (deg C)') - -sapm_sd_scatter(tmy_data.DNI, label='DNI (W/m**2)') - -sapm_sd_scatter(tmy_data.AOD, label='AOD') - -sapm_sd_scatter(tmy_data.Wspd, label='Wind speed', vmax=10) - - -# Notice the use of the ``vmax`` keyword argument in the above example. The ``**kwargs`` pattern allows us to easily pass non-specified arguments to nested functions. -def sapm_other_scatter(c_data, x_data, clabel=None, xlabel=None, aspect_equal=False, **kwargs): - """Display a scatter plot of SAPM p_ac vs. something else. - - You need to re-execute this cell if you re-run the p_ac calculation. - - Parameters - ---------- - c_data : array-like - Determines the color of each point on the scatter plot. - Must be same length as p_acs. - x_data : array-like - - kwargs passed to ``scatter``. - - Returns - ------- - tuple of fig, ax objects - """ - - fig = plt.figure(figsize=(12,12)) - - if aspect_equal: - ax = fig.add_subplot(111, aspect='equal') - else: - ax = fig.add_subplot(111) - sc = ax.scatter(x_data, p_acs['sapm'], c=c_data, alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) - ax.set_xlim(0, None) - ax.set_ylim(0, None) - ax.set_xlabel('{}'.format(xlabel)) - ax.set_ylabel('Sandia model power (W)') - fig.colorbar(sc, label='{}'.format(clabel), shrink=0.75) - - return fig, ax - -sapm_other_scatter(tmy_data.DryBulb, tmy_data.GHI, clabel='Temperature (deg C)', xlabel='GHI (W/m**2)') - - -# Next, we will assume that the SAPM model is representative of the real world performance so that we can use scipy's optimization routine to derive simulated PVUSA coefficients. You will need to install scipy to run these functions. -# -# Here's one PVUSA reference: -# -# http://www.nrel.gov/docs/fy09osti/45376.pdf -# -def pvusa(pvusa_data, a, b, c, d): - """ - Calculates system power according to the PVUSA equation - - P = I * (a + b*I + c*W + d*T) - - where - P is the output power, - I is the plane of array irradiance, - W is the wind speed, and - T is the temperature - - Parameters - ---------- - pvusa_data : pd.DataFrame - Must contain the columns 'I', 'W', and 'T' - a : float - I coefficient - b : float - I*I coefficient - c : float - I*W coefficient - d : float - I*T coefficient - - Returns - ------- - power : pd.Series - Power calculated using the PVUSA model. - """ - return pvusa_data['I'] * (a + b*pvusa_data['I'] + c*pvusa_data['W'] + d*pvusa_data['T']) - -from scipy import optimize - -pvusa_data = pd.DataFrame() -pvusa_data['I'] = poa_irrad.poa_global -pvusa_data['W'] = tmy_data.Wspd -pvusa_data['T'] = tmy_data.DryBulb - -popt, pcov = optimize.curve_fit(pvusa, pvusa_data.dropna(), p_acs.sapm.values, p0=(.0001,0.0001,.001,.001)) -print('optimized coefs:\n{}'.format(popt)) -print('covariances:\n{}'.format(pcov)) - -power_pvusa = pvusa(pvusa_data, *popt) - -fig, ax = sapm_other_scatter(tmy_data.DryBulb, power_pvusa, clabel='Temperature (deg C)', - aspect_equal=True, xlabel='PVUSA (W)') - -maxmax = max(ax.get_xlim()[1], ax.get_ylim()[1]) -ax.set_ylim(None, maxmax) -ax.set_xlim(None, maxmax) -ax.plot(np.arange(maxmax), np.arange(maxmax), 'r') - - - diff --git a/docs/tutorials/scripts/tracking.py b/docs/tutorials/scripts/tracking.py deleted file mode 100644 index 5b3b0c2304..0000000000 --- a/docs/tutorials/scripts/tracking.py +++ /dev/null @@ -1,951 +0,0 @@ -# coding: utf-8 - -# #Tracking - -# This tutorial introduces the ``pvlib.tracking`` module. This module currently only contains one function, ``tracking.singleaxis``, but we hope to add dual axis tracking support in the future. -# -# The ``tracking.singleaxis`` function is a port of the PVLIB MATLAB file ``pvl_singleaxis.m``. The algorithm is based on [Lorenzo et al, *Tracking and back-tracking*, Prog. in Photovoltaics: Research and Applications, **19**, 747-753 (2011)](http://dx.doi.org/10.1002/pip.1085). Most of the Python and MATLAB algorithms are identical except for name changes to conform to the PEP8 Python style guide. There are few spots, noteably in the calculation of [``surface_azimuth``](#Surface-tilt-and-azimuth), that our implementation differs from the MATLAB implementation. -# -# Table of contents: -# 1. [Standard Python and pvlib setup](#Setup). -# 2. [Walk through each step of the single axis tracking algorithm](#Single-axis-tracker-algorithm). -# 3. [Use the ``tracking.singleaxis`` function to explore the impacts of tracker tilt, tracker azimuth, and backtracking](#tracking.singleaxis-examples). -# -# This tutorial has been tested against the following package versions: -# * pvlib 0.2.0 -# * Python 2.7.10 -# * IPython 3.2 -# * Pandas 0.16.2 -# -# It should work with other Python and Pandas versions. It requires pvlib > 0.2.0 and IPython > 3.0. -# -# This tutorial was written by -# * Will Holmgren ([@wholmgren](http://wholmgren.github.io)), University of Arizona. March, 2015, July 2015. -# * Some of the text is based on the comments in ``pvl_singleaxis.m``, presumably written by the PVLIB_MATLAB team at Sandia National Laboratory. - -# ## Setup - -# Standard scientific Python imports. -# plotting modules -get_ipython().magic('matplotlib inline') -import matplotlib.pyplot as plt -try: - import seaborn as sns - sns.set(rc={"figure.figsize": (12, 6)}) -except ImportError: - print('We suggest you install seaborn using conda or pip and rerun this cell') - -# built in python modules -import datetime - -# python add-ons -import numpy as np -import pandas as pd - -import pvlib -from pvlib.tools import cosd, sind -from pvlib.location import Location - - -# Make some ``pvlib Location`` objects. These are the standard inputs to the solar position calculator. -tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') -print(tus) -johannesburg = Location(-26.2044, 28.0456, 'Africa/Johannesburg', 1753, 'Johannesburg') -print(johannesburg) - - -# Calculate solar position at those locations. To start, we'll choose times near an equinox. Later, we'll test against times near a solstice. -times = pd.date_range(start=datetime.datetime(2014,3,23), end=datetime.datetime(2014,3,24), freq='5Min') - -pyephem_tus = pvlib.solarposition.pyephem(times, tus) -pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) -pyephemout = pyephem_tus # default for notebook - - -# ## Single axis tracker algorithm - -# The steps of the tracking algorithm are: -# 1. [Define input parameters](#Inputs). -# 2. [Transform solar position to South facing coordinate system](#Transform-to-south-facing-coordinate-system). -# 2. [Transform solar position to panel coordinate system](#Transform-to-panel-coordinate-system). -# 2. [Determine the ideal tracking angle when ignoring backtracking](#Tracking-angle). -# 2. [Correct the tracking angle to account for backtracking](#Backtracking). -# 2. [Calculate the panel normal vector based on tracking angle](#Calculate-panel-normal). -# 2. [Calculate the solar angle of incidence](#AOI). -# 2. [Calculate the panel tilt and azimuth](#Surface-tilt-and-azimuth). - -# ### Inputs - -# First, define the input parameters. From the ``tracking.singleaxis`` docstring... - -# apparent_zenith : Series -# Solar apparent zenith angles in decimal degrees. -# -# azimuth : Series -# Solar azimuth angles in decimal degrees. -# -# latitude : float -# A value denoting which hempisphere the tracker is -# in. The exact latitude is NOT required, any positive number denotes -# the northern hemisphere, any negative number denotes the southern -# hemisphere, a value of 0 is assumed to be northern hemisphere. -# -# axis_tilt : float -# The tilt of the axis of rotation -# (i.e, the y-axis defined by axis_azimuth) with respect to horizontal, -# in decimal degrees. -# -# axis_azimuth : float -# A value denoting the compass direction along which -# the axis of rotation lies, in decimal degrees. -# -# max_angle : float -# A value denoting the maximum rotation angle, in -# decimal degrees, of the one-axis tracker from its horizontal position -# (horizontal if axis_tilt = 0). -# A max_angle of 90 degrees allows the tracker to rotate to a vertical -# position to point the panel towards a horizon. -# max_angle of 180 degrees allows for full rotation. -# -# backtrack : bool -# Controls whether the tracker has the -# capability to "backtrack" to avoid row-to-row shading. -# False denotes no backtrack capability. -# True denotes backtrack capability. -# -# gcr : float -# A value denoting the ground coverage ratio of a tracker -# system which utilizes backtracking; i.e. the ratio between the PV -# array surface area to total ground area. A tracker system with modules 2 -# meters wide, centered on the tracking axis, with 6 meters between the -# tracking axes has a gcr of 2/6=0.333. If gcr is not provided, a gcr -# of 2/7 is default. gcr must be <=1. -azimuth = pyephemout['azimuth'] -apparent_azimuth = pyephemout['azimuth'] # not much difference, so cheat -apparent_zenith = pyephemout['apparent_zenith'] -axis_tilt = 0 -axis_azimuth = 170 -latitude = 32 -max_angle = 65 -backtrack = True -gcr = 2.0/7.0 - -times = azimuth.index - - -# ### Transform to south facing coordinate system - -# The reference that this algorithm is based on used an Earth coordinate system where y points south. So, we first transform our solar position vector to this new coordiante system. -az = apparent_azimuth - 180 -apparent_elevation = 90 - apparent_zenith -x = cosd(apparent_elevation) * sind(az) -y = cosd(apparent_elevation) * cosd(az) -z = sind(apparent_elevation) - -earth_coords = pd.DataFrame({'x':x,'y':y,'z':z}) - -earth_coords.plot() -plt.title('sun position in Earth coordinate system') - - -# ### Transform to panel coordinate system - -# Transform solar vector to panel coordinate system. For North-South oriented trackers parallel to the ground, the only difference is the sign of the x component. The x components are the same if ``axis_azimuth=180`` and opposite if ``axis_azimuth=0``. -axis_azimuth_south = axis_azimuth - 180 - -print('cos(axis_azimuth_south)={}, sin(axis_azimuth_south)={}' - .format(cosd(axis_azimuth_south), sind(axis_azimuth_south))) -print('cos(axis_tilt)={}, sin(axis_tilt)={}' - .format(cosd(axis_tilt), sind(axis_tilt))) - -xp = x*cosd(axis_azimuth_south) - y*sind(axis_azimuth_south); -yp = (x*cosd(axis_tilt)*sind(axis_azimuth_south) + - y*cosd(axis_tilt)*cosd(axis_azimuth_south) - - z*sind(axis_tilt)) -zp = (x*sind(axis_tilt)*sind(axis_azimuth_south) + - y*sind(axis_tilt)*cosd(axis_azimuth_south) + - z*cosd(axis_tilt)) - -panel_coords = pd.DataFrame({'x':xp,'y':yp,'z':zp}) - -panel_coords.plot() -plt.title('sun position in panel coordinate system') - - -# ### Tracking angle - -# The ideal tracking angle ``wid`` is the rotation to place the sun position -# vector ``(xp, yp, zp)`` in the ``(y, z)`` plane; i.e. normal to the panel and -# containing the axis of rotation. ``wid = 0`` indicates that the panel is -# horizontal. Here, our convention is that a clockwise rotation is -# positive, to view rotation angles in the same frame of reference as -# azimuth. For example, for a system with tracking axis oriented south, -# a rotation toward the east is negative, and a rotation to the west is -# positive. - -# We use ``arctan2``, but PVLIB MATLAB uses ``arctan``. Here prove that we get the same result. -# Calculate angle from x-y plane to projection of sun vector onto x-z plane -# and then obtain wid by translating tmp to convention for rotation angles. -wid = pd.Series(90 - np.degrees(np.arctan2(zp, xp)), index=times) - -# filter for sun above panel horizon -wid[zp <= 0] = np.nan - -wid.plot(label='tracking angle') -pyephemout['apparent_elevation'].plot(label='apparent elevation') -plt.legend() -plt.title('Ideal tracking angle without backtracking') - - -# ``arctan`` version -tmp = np.degrees(np.arctan(zp/xp)) # angle from x-y plane to projection of sun vector onto x-z plane - -# Obtain wid by translating tmp to convention for rotation angles. -# Have to account for which quadrant of the x-z plane in which the sun -# vector lies. Complete solution here but probably not necessary to -# consider QIII and QIV. -wid = pd.Series(index=times) -wid[(xp>=0) & (zp>=0)] = 90 - tmp[(xp>=0) & (zp>=0)]; # QI -wid[(xp<0) & (zp>=0)] = -90 - tmp[(xp<0) & (zp>=0)]; # QII -wid[(xp<0) & (zp<0)] = -90 - tmp[(xp<0) & (zp<0)]; # QIII -wid[(xp>=0) & (zp<0)] = 90 - tmp[(xp>=0) & (zp<0)]; # QIV - -# filter for sun above panel horizon -wid[zp <= 0] = np.nan - -wid.plot(label='tracking angle') -pyephemout['apparent_elevation'].plot(label='apparent elevation') -plt.legend() -plt.title('Ideal tracking angle without backtracking') - - -# ### Backtracking - -# Account for backtracking; modified from [1] to account for rotation angle convention being used here. -if backtrack: - axes_distance = 1/gcr - temp = np.minimum(axes_distance*cosd(wid), 1) - - # backtrack angle - # (always positive b/c acosd returns values between 0 and 180) - wc = np.degrees(np.arccos(temp)) - - v = wid < 0 - widc = pd.Series(index=times) - widc[~v] = wid[~v] - wc[~v]; # Eq 4 applied when wid in QI - widc[v] = wid[v] + wc[v]; # Eq 4 applied when wid in QIV -else: - widc = wid - -widc.plot(label='tracking angle') -#pyephemout['apparent_elevation'].plot(label='apparent elevation') -plt.legend(loc=2) -plt.title('Ideal tracking angle with backtracking') - - -# Compare tracking angle with and without backtracking. -tracking_angles = pd.DataFrame({'with backtracking':widc,'without backtracking':wid}) -tracking_angles.plot() -#pyephemout['apparent_elevation'].plot(label='apparent elevation') -plt.legend() - - -# ### Max angle - -# Apply angle restriction. -tracker_theta = widc.copy() -tracker_theta[tracker_theta > max_angle] = max_angle -tracker_theta[tracker_theta < -max_angle] = -max_angle - -tracking_angles['with restriction'] = tracker_theta -tracking_angles.plot() - - -# ### Calculate panel normal - -# Calculate panel normal vector in panel x, y, z coordinates. -# y-axis is axis of tracker rotation. ``tracker_theta`` is a compass angle -# (clockwise is positive) rather than a trigonometric angle. -panel_norm = np.array([sind(tracker_theta), - tracker_theta*0, - cosd(tracker_theta)]) - -panel_norm_df = pd.DataFrame(panel_norm.T, columns=('x','y','z'), index=times) -panel_norm_df.plot() -plt.title('panel normal vector components in panel coordinate system') -plt.legend() - - -# sun position in vector format in panel-oriented x, y, z coordinates. We've already seen this above, but it's good to look at it again after calculating the tracker normal vector. -sun_vec = np.array([xp, yp, zp]) - -panel_coords = pd.DataFrame(sun_vec.T, columns=('x','y','z'), index=times) - -panel_coords.plot() -plt.title('sun position in panel coordinate system') - - -# ### AOI - -# Calculate angle-of-incidence on panel -aoi = np.degrees(np.arccos(np.abs(np.sum(sun_vec*panel_norm, axis=0)))) -aoi = pd.Series(aoi, index=times) - -aoi.plot() -plt.title('angle of incidence') - - -# The power produced by the tracker will be primarily determined by the cosine of the angle of incidence. -cosd(aoi).plot() - - -# ### Surface tilt and azimuth - -# Calculate panel tilt ``surface_tilt`` and azimuth ``surface_azimuth`` -# in a coordinate system where the panel tilt is the -# angle from horizontal, and the panel azimuth is -# the compass angle (clockwise from north) to the projection -# of the panel's normal to the earth's surface. -# These outputs are provided for convenience and comparison -# with other PV software which use these angle conventions. - -# Project normal vector to earth surface. First rotate about x-axis by angle -axis_tilt so that y-axis is also parallel to earth surface, then project. -# Calculate standard rotation matrix -print('cos(axis_azimuth_south)={}, sin(axis_azimuth_south)={}' - .format(cosd(axis_azimuth_south), sind(axis_azimuth_south))) -print('cos(axis_tilt)={}, sin(axis_tilt)={}' - .format(cosd(axis_tilt), sind(axis_tilt))) - -rot_x = np.array([[1, 0, 0], - [0, cosd(-axis_tilt), -sind(-axis_tilt)], - [0, sind(-axis_tilt), cosd(-axis_tilt)]]) - -# panel_norm_earth contains the normal vector expressed in earth-surface coordinates -# (z normal to surface, y aligned with tracker axis parallel to earth) -panel_norm_earth = np.dot(rot_x, panel_norm).T - -# projection to plane tangent to earth surface, -# in earth surface coordinates -projected_normal = np.array([panel_norm_earth[:,0], panel_norm_earth[:,1], panel_norm_earth[:,2]*0]).T - -# calculate magnitudes -panel_norm_earth_mag = np.sqrt(np.nansum(panel_norm_earth**2, axis=1)) -projected_normal_mag = np.sqrt(np.nansum(projected_normal**2, axis=1)) -#print('panel_norm_earth_mag={}, projected_normal_mag={}'.format(panel_norm_earth_mag, projected_normal_mag)) - -projected_normal = (projected_normal.T / projected_normal_mag).T - -panel_norm_earth_df = pd.DataFrame(panel_norm_earth, columns=('x','y','z'), index=times) -panel_norm_earth_df.plot() -plt.title('panel normal vector components in Earth coordinate system') - -projected_normal_df = pd.DataFrame(projected_normal, columns=('x','y','z'), index=times) -projected_normal_df.plot() -plt.title('panel normal vector projected to surface in Earth coordinate system') - - -# #### Surface azimuth - -# Calculate surface_azimuth. This takes a few steps. We need to take the arctan, rotate from the panel system to the south-facing Earth system and then rotate the Earth system to a north-facing Earth system. We use the ``arctan2`` function, but PVLIB MATLAB uses ``arctan``. -# calculation of surface_azimuth -# 1. Find the angle. -surface_azimuth = pd.Series(np.degrees(np.arctan2(projected_normal[:,1], projected_normal[:,0])), index=times) -surface_azimuth.plot(label='orig') - -# 2. Rotate 0 reference from panel's x axis to it's y axis and -# then back to North. -surface_azimuth += 90 + axis_azimuth - -# 3. Map azimuth into [0,360) domain. -surface_azimuth[surface_azimuth<0] += 360 -surface_azimuth[surface_azimuth>=360] -= 360 -surface_azimuth.plot(label='compass angle north') - -plt.legend() - - -# ``arctan`` version -# calculation of surface_azimuth -# 1. Find the angle. -surface_azimuth = pd.Series(np.degrees(np.arctan(projected_normal[:,1]/projected_normal[:,0])), index=times) -surface_azimuth.plot(label='orig') - -# 2. Clean up atan when x-coord or y-coord is zero -surface_azimuth[(projected_normal[:,0]==0) & (projected_normal[:,1]>0)] = 90 -surface_azimuth[(projected_normal[:,0]==0) & (projected_normal[:,1]<0)] = -90 -surface_azimuth[(projected_normal[:,1]==0) & (projected_normal[:,0]>0)] = 0 -surface_azimuth[(projected_normal[:,1]==0) & (projected_normal[:,0]<0)] = 180 -surface_azimuth.plot(label='x or y 0 corrected') - -# 3. Correct atan for QII and QIII -surface_azimuth[(projected_normal[:,0]<0) & (projected_normal[:,1]>0)] += 180 # QII -surface_azimuth[(projected_normal[:,0]<0) & (projected_normal[:,1]<0)] += 180 # QIII -surface_azimuth.plot(label='q2, q3 corrected') - -# 4. Skip to below - -# From PVLIB MATLAB... -# at this point surface_azimuth contains angles between -90 and +270, -# where 0 is along the positive x-axis, -# the y-axis is in the direction of the tracker azimuth, -# and positive angles are rotations from the positive x axis towards -# the positive y-axis. -# Adjust to compass angles -# (clockwise rotation from 0 along the positive y-axis) -# surface_azimuth[surface_azimuth<=90] = 90 - surface_azimuth[surface_azimuth<=90] -# surface_azimuth[surface_azimuth>90] = 450 - surface_azimuth[surface_azimuth>90] - -# finally rotate to align y-axis with true north -# PVLIB_MATLAB has this latitude correction, -# but I don't think it's latitude dependent if you always -# specify axis_azimuth with respect to North. -# if latitude > 0 or True: -# surface_azimuth = surface_azimuth - axis_azimuth -# else: -# surface_azimuth = surface_azimuth - axis_azimuth - 180 -# surface_azimuth[surface_azimuth<0] = 360 + surface_azimuth[surface_azimuth<0] - -# the commented code above is mostly part of PVLIB_MATLAB. -# My (wholmgren) take is that it can be done more simply. -# Say that we're pointing along the postive x axis (likely west). -# We just need to rotate 90 degrees to get from the x axis -# to the y axis (likely south), -# and then add the axis_azimuth to get back to North. -# Anything left over is the azimuth that we want, -# and we can map it into the [0,360) domain. - - -# 4. Rotate 0 reference from panel's x axis to it's y axis and -# then back to North. -surface_azimuth += 90 + axis_azimuth - -# 5. Map azimuth into [0,360) domain. -surface_azimuth[surface_azimuth<0] += 360 -surface_azimuth[surface_azimuth>=360] -= 360 -surface_azimuth.plot(label='compass angle north') - -plt.legend() - - -# The final ``surface_azimuth`` is given by the curve labeled "compass angle north". This is in degrees East of North. - -# #### Surface tilt - -# Calculate ``surface_tilt``. We use the pandas ``sum`` function because it evaluates ``pd.Series([np.nan]).sum()=nan`` whereas numpy evaluates ``np.nansum(np.array([np.nan]))=0``. -surface_tilt = (90 - np.degrees(np.arccos( - pd.DataFrame(panel_norm_earth * projected_normal, index=times).sum(axis=1)))) - -surface_tilt.plot() - - -# According to the MATLAB code, surface_tilt is "The angle between the panel surface and the earth surface, accounting for panel rotation." - -# ## ``tracking.singleaxis`` examples - -# With backtracking -tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], - axis_tilt=0, axis_azimuth=180, max_angle=90, - backtrack=True, gcr=2.0/7.0) - -tracker_data.plot() - - -# Without backtracking -tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], - axis_tilt=0, axis_azimuth=180, max_angle=90, - backtrack=False, gcr=2.0/7.0) -tracker_data.plot() - - -# Explore ground cover ratio -aois = pd.DataFrame(index=pyephemout.index) - -for gcr in np.linspace(0, 1, 6): - tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], - axis_tilt=0, axis_azimuth=180, max_angle=90, - backtrack=True, gcr=gcr) - aois[gcr] = tracker_data['aoi'] - -aois.plot() - - -# Ensure that max_angle works. -tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], - axis_tilt=0, axis_azimuth=180, max_angle=45, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() - - -# Play with axis_tilt. -aois = pd.DataFrame(index=pyephemout.index) -tilts = pd.DataFrame(index=pyephemout.index) -azis = pd.DataFrame(index=pyephemout.index) -thetas = pd.DataFrame(index=pyephemout.index) - -for tilt in np.linspace(0, 90, 7): - tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], - axis_tilt=tilt, axis_azimuth=180, max_angle=90, - backtrack=True, gcr=2/7.) - aois[tilt] = tracker_data['aoi'] - tilts[tilt] = tracker_data['surface_tilt'] - azis[tilt] = tracker_data['surface_azimuth'] - thetas[tilt] = tracker_data['tracker_theta'] - -fig, axes = plt.subplots(2, 2, figsize=(16,12), sharex=True) -ax=axes[0,0] -aois.plot(ax=ax) -ax.set_ylim(0,90) -ax.set_title('aoi') - -ax=axes[0,1] -thetas.plot(ax=ax) -ax.set_ylim(-90,90) -ax.set_title('tracker theta') - -ax=axes[1,1] -tilts.plot(ax=ax) -ax.set_title('surface tilt') -ax.set_ylim(0,90) - -ax=axes[1,0] -azis.plot(ax=ax) -ax.set_title('surface azimuth') -ax.set_ylim(0,360) - - -# Makes sense if the panels are facing South at solar noon, as expected with ``axis_tilt>0`` and ``axis_azimuth=180``. -# -# The limiting cases of 0 (flat) and 90 (vertical) seem to make sense if you switch the backtracking on and off. -# -# Next, try to point the panels North. -aois = pd.DataFrame(index=pyephemout.index) - -for tilt in np.linspace(0, -90, 7): - tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], - axis_tilt=tilt, axis_azimuth=180, max_angle=90, - backtrack=True, gcr=2/7.) - aois[tilt] = tracker_data['aoi'] - -aois.plot() -plt.ylim(0,100) - - -# Makes sense if the panels are facing North at solar noon, as expected with ``axis_tilt<0`` and ``axis_azimuth=180``. - -# Play with axis_azimuth. -aois = pd.DataFrame(index=pyephemout.index) -tilts = pd.DataFrame(index=pyephemout.index) -azis = pd.DataFrame(index=pyephemout.index) -thetas = pd.DataFrame(index=pyephemout.index) - -for azi in np.linspace(90, 270, 5): - tracker_data = pvlib.tracking.singleaxis(pyephemout['apparent_zenith'], pyephemout['apparent_azimuth'], - axis_tilt=0, axis_azimuth=azi, max_angle=90, - backtrack=True, gcr=2/7.) - aois[azi] = tracker_data['aoi'] - tilts[azi] = tracker_data['surface_tilt'] - azis[azi] = tracker_data['surface_azimuth'] - thetas[azi] = tracker_data['tracker_theta'] - -fig, axes = plt.subplots(2, 2, figsize=(16,12), sharex=True) -ax=axes[0,0] -aois.plot(ax=ax) -ax.set_ylim(0,90) -ax.set_title('aoi') - -ax=axes[0,1] -thetas.plot(ax=ax) -ax.set_ylim(-90,90) -ax.set_title('tracker theta') - -ax=axes[1,1] -tilts.plot(ax=ax) -ax.set_title('surface tilt') -ax.set_ylim(0,90) - -ax=axes[1,0] -azis.plot(ax=ax) -ax.set_title('surface azimuth') -ax.set_ylim(0,360) - - -# Since I screwed up the ``axis_azimuth`` calculation before, this is worth spending a minute on. This discussion assumes ``axis_tilt=0`` and no backtracking. -# -# Say that your ``axis_azimuth=90 or 270``. Your ``surface_azimuth`` has no choice but to point to North (0), or South (180). Near the equinox, the solar azimuth is very nearly 90 at sunrise and sunset, so the ``surface_tilt`` is going to be poorly defined until the sun is a bit above the horizon. At midday, the ``surface_azimuth`` should definitely point South (180), ``surface_tilt`` will very nearly equal the latitude, and AOI should be nearly 0. -# -# Next, let's study the ``axis_azimuth=135`` case. This corresponds to a tracker oriented from SSE-NNW. At sunrise, on the equinox, the tracker is going to point East of North by 45 degrees. Sometime before solar noon, the panels should lay flat, and then point West of South by 45 degrees, or East of North by 225. - -# Test the southern hemispere. -tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() - - -# Test different seasons. -times = pd.date_range(start=datetime.datetime(2014,3,23), end=datetime.datetime(2014,3,24), freq='5Min') - -pyephem_tus = pvlib.solarposition.pyephem(times, tus) -pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) - -tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() -plt.title('Tucson, March') -plt.ylim(-100,100) - -tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() -plt.title('Johannesburg, March') -plt.ylim(-100,100) - -times = pd.date_range(start=datetime.datetime(2014,6,23), end=datetime.datetime(2014,6,24), freq='5Min') - -pyephem_tus = pvlib.solarposition.pyephem(times, tus) -pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) - -tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() -plt.title('Tucson, June') -plt.ylim(-100,100) - -tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() -plt.title('Johannesburg, June') -plt.ylim(-100,100) - -times = pd.date_range(start=datetime.datetime(2014,12,23), end=datetime.datetime(2014,12,24), freq='5Min') - -pyephem_tus = pvlib.solarposition.pyephem(times, tus) -pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) - -tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() -plt.title('Tucson, December') - -tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() -plt.title('Johannesburg, December') - -times = pd.date_range(start=datetime.datetime(2014,12,23), end=datetime.datetime(2014,12,24), freq='5Min') - -pyephem_tus = pvlib.solarposition.pyephem(times, tus) -pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) - -tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=False, gcr=2.0/7.0) -tracker_data['aoi'].plot() -plt.title('Tucson, December, no backtrack') - -tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=False, gcr=2.0/7.0) -plt.figure() -tracker_data['aoi'].plot() -plt.title('Johannesburg, December, no backtrack') - -times = pd.date_range(start=datetime.datetime(2014,5,5), end=datetime.datetime(2014,5,6), freq='5Min') - -pyephem_tus = pvlib.solarposition.pyephem(times, tus) -pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) - -tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=False, gcr=2.0/7.0) -tracker_data['aoi'].plot() -plt.title('Tucson, May, no backtrack') - -tracker_data = pvlib.tracking.singleaxis(pyephem_joh['apparent_zenith'], pyephem_joh['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=False, gcr=2.0/7.0) -plt.figure() -tracker_data['aoi'].plot() -plt.title('Johannesburg, May, no backtrack') - - -# ### Calculate full POA irradiance - -# Finally, we'll put the tracker data together with the irradiance algorithms to determine plane-of-array irradiance. -times = pd.date_range(start=datetime.datetime(2014,3,23), end=datetime.datetime(2014,3,24), freq='5Min') - -pyephem_tus = pvlib.solarposition.pyephem(times, tus) -pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) - -tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() -plt.ylim(-100,100) - -irrad_data = pvlib.clearsky.ineichen(times, tus, solarposition_method='pyephem') -dni_et = pd.Series(pvlib.irradiance.extraradiation(times.dayofyear, method='asce'), index=times).tz_localize(tus.tz) -irrad_data.plot() -dni_et.plot(label='DNI ET') - -ground_irrad = pvlib.irradiance.grounddiffuse(tracker_data['surface_tilt'], irrad_data['ghi'], albedo=.25) -ground_irrad.plot() - -ephem_data = pyephem_tus - -haydavies_diffuse = pvlib.irradiance.haydavies(tracker_data['surface_tilt'], tracker_data['surface_azimuth'], - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['apparent_azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -global_in_plane = cosd(tracker_data['aoi'])*irrad_data['dni'] + haydavies_diffuse + ground_irrad -global_in_plane.plot() - - -# Do it again for another time of year. -times = pd.date_range(start=datetime.datetime(2014,6,23), end=datetime.datetime(2014,6,24), freq='5Min') - -pyephem_tus = pvlib.solarposition.pyephem(times, tus) -pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) - -tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() -plt.ylim(-100,100) - -irrad_data = pvlib.clearsky.ineichen(times, tus, solarposition_method='pyephem') -dni_et = pd.Series(pvlib.irradiance.extraradiation(times.dayofyear, method='asce'), index=times).tz_localize(tus.tz) -plt.figure() -irrad_data.plot() -dni_et.plot(label='DNI ET') - -ground_irrad = pvlib.irradiance.grounddiffuse(tracker_data['surface_tilt'], irrad_data['ghi'], albedo=.25) -ground_irrad.plot() - -ephem_data = pyephem_tus - -haydavies_diffuse = pvlib.irradiance.haydavies(tracker_data['surface_tilt'], tracker_data['surface_azimuth'], - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['apparent_azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -global_in_plane = cosd(tracker_data['aoi'])*irrad_data['dni'] + haydavies_diffuse + ground_irrad -global_in_plane.plot(label='global in plane') - -plt.legend() - -times = pd.date_range(start=datetime.datetime(2014,12,23), end=datetime.datetime(2014,12,24), freq='5Min') - -pyephem_tus = pvlib.solarposition.pyephem(times, tus) -pyephem_joh = pvlib.solarposition.pyephem(times, johannesburg) - -tracker_data = pvlib.tracking.singleaxis(pyephem_tus['apparent_zenith'], pyephem_tus['apparent_azimuth'], - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data.plot() -plt.ylim(-100,100) - -irrad_data = pvlib.clearsky.ineichen(times, tus, solarposition_method='pyephem') -dni_et = pd.Series(pvlib.irradiance.extraradiation(times.dayofyear, method='asce'), index=times).tz_localize(tus.tz) -plt.figure() -irrad_data.plot() -dni_et.plot(label='DNI ET') - -ground_irrad = pvlib.irradiance.grounddiffuse(tracker_data['surface_tilt'], irrad_data['ghi'], albedo=.25) -ground_irrad.plot() - -ephem_data = pyephem_tus - -haydavies_diffuse = pvlib.irradiance.haydavies(tracker_data['surface_tilt'], tracker_data['surface_azimuth'], - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['apparent_azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -global_in_plane = cosd(tracker_data['aoi'])*irrad_data['dni'] + haydavies_diffuse + ground_irrad -global_in_plane.plot(label='global in plane') - -plt.legend() - - -# ### Reproduce examples from ``pvl_singleaxis.m`` -abq = Location(35, -106, 'US/Mountain', 0, 'Albuquerque') -print(abq) - - -# ####Example 1: -# -# Horizontal single axis tracking without back-tracking (max angle = 45 deg) -times = pd.date_range(start=datetime.datetime(2014,6,1), end=datetime.datetime(2014,6,2), freq='5Min') - -pyephem_abq = pvlib.solarposition.pyephem(times, abq) - -tracker_data = pvlib.tracking.singleaxis(pyephem_abq['apparent_zenith'], pyephem_abq['apparent_azimuth'], - axis_tilt=0, axis_azimuth=180, max_angle=45, - backtrack=False, gcr=2.0/7.0) -tracker_data.plot() -plt.ylim(-100,100) -plt.title('June 1, Albuquerque, NS Horizontal Single-Axis, no backtrack') - - -# ####Example 2: -# -# Horizontal single axis tracking with back-tracking (assumes GCR of 0.3) -times = pd.date_range(start=datetime.datetime(2014,6,1), end=datetime.datetime(2014,6,2), freq='5Min') - -pyephem_abq = pvlib.solarposition.pyephem(times, abq) - -tracker_data = pvlib.tracking.singleaxis(pyephem_abq['apparent_zenith'], pyephem_abq['apparent_azimuth'], - axis_tilt=0, axis_azimuth=180, max_angle=45, - backtrack=True, gcr=.3) -tracker_data.plot() -plt.ylim(-100,100) -plt.title('June 1, Albuquerque, NS Horizontal Single-Axis, with backtracking') - - -# ####Example 3: -# -# 20 deg titled single axis tracking with back-tracking (assumes GCR of 0.3) -times = pd.date_range(start=datetime.datetime(2014,6,1), end=datetime.datetime(2014,6,2), freq='5Min') - -pyephem_abq = pvlib.solarposition.pyephem(times, abq) - -tracker_data = pvlib.tracking.singleaxis(pyephem_abq['apparent_zenith'], pyephem_abq['apparent_azimuth'], - axis_tilt=20, axis_azimuth=180, max_angle=45, - backtrack=True, gcr=.3) -tracker_data.plot() -plt.ylim(-100,100) -plt.title('June 1, Albuquerque, 20 deg S-Tilted Single-Axis, with backtracking') - - -# ### sketch of automated tests -import logging -logging.getLogger('pvlib').setLevel(logging.DEBUG) - - -# test solar noon -apparent_zenith = pd.Series([10]) -apparent_azimuth = pd.Series([180]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - -apparent_zenith = pd.Series([60]) -apparent_azimuth = pd.Series([90]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=180, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - -apparent_zenith = pd.Series([60]) -apparent_azimuth = pd.Series([90]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - - -# Test max -apparent_zenith = pd.Series([60]) -apparent_azimuth = pd.Series([90]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=0, max_angle=45, - backtrack=True, gcr=2.0/7.0) -tracker_data - - -# Test backtrack bool -apparent_zenith = pd.Series([80]) -apparent_azimuth = pd.Series([90]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=False, gcr=2.0/7.0) -tracker_data - -apparent_zenith = pd.Series([80]) -apparent_azimuth = pd.Series([90]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - - -# Test axis_tilt -apparent_zenith = pd.Series([30]) -apparent_azimuth = pd.Series([135]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=30, axis_azimuth=180, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - -apparent_zenith = pd.Series([30]) -apparent_azimuth = pd.Series([135]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=30, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - - -# Test axis_azimuth -apparent_zenith = pd.Series([30]) -apparent_azimuth = pd.Series([90]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=90, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - -apparent_zenith = pd.Series([30]) -apparent_azimuth = pd.Series([180]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=90, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - -apparent_zenith = pd.Series([30]) -apparent_azimuth = pd.Series([180]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=90, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - -apparent_zenith = pd.Series([30]) -apparent_azimuth = pd.Series([150]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=170, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - -apparent_zenith = pd.Series([30]) -apparent_azimuth = pd.Series([180]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=170, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - -apparent_zenith = pd.Series([10]) -apparent_azimuth = pd.Series([180]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - - -# This is supposed to fail... -apparent_zenith = pd.Series([10]) -apparent_azimuth = pd.Series([180,90]) -tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth, - axis_tilt=0, axis_azimuth=0, max_angle=90, - backtrack=True, gcr=2.0/7.0) -tracker_data - -logging.getLogger('pvlib').setLevel(logging.WARNING) - - - diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py new file mode 100644 index 0000000000..0b5021efaf --- /dev/null +++ b/pvlib/test/test_forecast.py @@ -0,0 +1,160 @@ +from datetime import datetime,timedelta +import inspect +from math import isnan + +import numpy as np +import pandas as pd +import requests + +from nose.tools import raises, assert_almost_equals +from nose.plugins.skip import SkipTest +from numpy.testing import assert_almost_equal + +import pvlib.forecast as forecast + +# setup times and location to be tested. +start = datetime.utcnow() # today's date +end = start + timedelta(days=7) # 7 days from today +timerange = [start, end] +tus = [-110.9, 32.2] # Tucson, AZ + +_models = {} +_variables = np.array(['temperature', + 'temperature_iso', + 'wind_speed', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'boundary_clouds', + 'convect_clouds', + 'downward_shortwave_radflux', + 'downward_shortwave_radflux_avg',]) + +def test_fmcreation(): + members = inspect.getmembers(forecast,inspect.isclass) + [members.remove(cls) for cls in members if cls[0] in ['ForecastModel','NCSS','TDSCatalog'] ] + + for model in members: + amodel = model[1]() + _models[model[0]] = amodel + + +def test_GFSdict(): + + gfs = _models['GFS'] + + varlist = ['Temperature_isobaric', + 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_convective_cloud'] + + idx = [1,3,4,5,6,7,8] + label_dict = dict(zip(_variables[idx],varlist)) + + for key, _ in gfs.data_labels.iteritems(): + assert label_dict[key] == gfs.data_labels[key] + + +def test_GSDdict(): + + gsd = _models['GFS'] + + varlist = ['Temperature_surface', + 'Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_UnknownLevelType-214', + 'Medium_cloud_cover_UnknownLevelType-224', + 'High_cloud_cover_UnknownLevelType-234', + 'Downward_short-wave_radiation_flux_surface'] + + idx = [0,3,4,5,6,9] + label_dict = dict(zip(_variables[idx],varlist)) + + for key, _ in gsd.data_labels.iteritems(): + assert label_dict[key] == gsd.data_labels[key] + + +def test_NAMdict(): + + nam = _models['GFS'] + + varlist = ['Temperature_surface', + 'Temperature_isobaric', + 'Total_cloud_cover_entire_atmosphere_single_layer', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud', + 'Downward_Short-Wave_Radiation_Flux_surface', + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'] + idx = [0,1,3,4,5,6,9,10] + label_dict = dict(zip(_variables[idx],varlist)) + + for key, _ in nam.data_labels.iteritems(): + assert label_dict[key] == nam.data_labels[key] + + +def test_NCEPdict(): + + ncep = _models['GFS'] + + varlist = ['Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud',] + + idx = [3,4,5,6] + label_dict = dict(zip(_variables[idx],varlist)) + + for key, _ in ncep.data_labels.iteritems(): + assert label_dict[key] == ncep.data_labels[key] + + +def test_NDFDdict(): + + ndfd = _models['GFS'] + + varlist = ['Temperature_surface', + 'Wind_speed_surface', + 'Total_cloud_cover_surface'] + + idx = [0,2,3] + label_dict = dict(zip(_variables[idx],varlist)) + + for key, _ in ndfd.data_labels.iteritems(): + assert label_dict[key] == ndfd.data_labels[key] + + +def test_RAPdict(): + + rap = _models['GFS'] + + varlist = ['Temperature_surface', + 'Total_cloud_cover_entire_atmosphere_single_layer', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud'] + + idx = [0,3,4,5,6] + label_dict = dict(zip(_variables[idx],varlist)) + + for key, _ in rap.data_labels.iteritems(): + assert label_dict[key] == rap.data_labels[key] + + +def test_data_query(): + + for name, model in _models.items(): + try: + data = model.get_query_data(tus,timerange) + except requests.exceptions.HTTPError: + pass + # raise SkipTest + + for variable in model.variables: + try: + assert isnan(data[variable][0]) == False + except AssertionError: + pass \ No newline at end of file From befb83b7271501d607efc7eee2cf701612c12420 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Mon, 16 Nov 2015 12:01:09 -0700 Subject: [PATCH 15/88] Updated nosetests for forecast.py --- pvlib/forecast.py | 106 ++++++++++++++++++------------------ pvlib/test/test_forecast.py | 104 ----------------------------------- 2 files changed, 54 insertions(+), 156 deletions(-) diff --git a/pvlib/forecast.py b/pvlib/forecast.py index f538a792f7..525a71dc87 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -304,12 +304,12 @@ def __init__(self,res='Half'): super(GFS, self).__init__(model_type,model,data_labels) -class NAM(ForecastModel): +class GSD(ForecastModel): ''' - Subclass of the ForecastModel class representing NAM forecast model. + Subclass of the ForecastModel class representing NCEP forecast model. - Model data corresponds to NAM CONUS 12km resolution forecasts - from CONDUIT. + Model data corresponds to NOAA/GSD HRRR CONUS 3km resolution + surface forecasts. Attributes ---------- @@ -324,36 +324,35 @@ class NAM(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - res: string - Determines which resolution of the GFS to use, as 'Half' or 'Quarter' variables: list Names of default variables specific to the model. ''' def __init__(self): + import warnings + warnings.warn('Experimental model. May not be available.') model_type = 'Forecast Model Data' - model = 'NAM CONUS 12km from CONDUIT' + model = 'GSD HRRR CONUS 3km surface' description = '' variables = ['Temperature_surface', - 'Temperature_isobaric', - 'Total_cloud_cover_entire_atmosphere_single_layer', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud', - 'Downward_Short-Wave_Radiation_Flux_surface', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'] - cols = super(NAM, self).columns - idx = [0,1,3,4,5,6,9,10] + 'Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_UnknownLevelType-214', + 'Medium_cloud_cover_UnknownLevelType-224', + 'High_cloud_cover_UnknownLevelType-234', + 'Downward_short-wave_radiation_flux_surface'] + cols = super(GSD, self).columns + idx = [0,3,4,5,6,9] data_labels = dict(zip(cols[idx],variables)) - super(NAM, self).__init__(model_type,model,data_labels) + super(GSD, self).__init__(model_type,model,data_labels) -class RAP(ForecastModel): + +class NAM(ForecastModel): ''' - Subclass of the ForecastModel class representing RAP forecast model. + Subclass of the ForecastModel class representing NAM forecast model. - Model data corresponds to Rapid Refresh CONUS 20km resolution - forecasts. + Model data corresponds to NAM CONUS 12km resolution forecasts + from CONDUIT. Attributes ---------- @@ -368,23 +367,28 @@ class RAP(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. + res: string + Determines which resolution of the GFS to use, as 'Half' or 'Quarter' variables: list Names of default variables specific to the model. ''' def __init__(self): model_type = 'Forecast Model Data' - model = 'Rapid Refresh CONUS 20km' + model = 'NAM CONUS 12km from CONDUIT' description = '' variables = ['Temperature_surface', + 'Temperature_isobaric', 'Total_cloud_cover_entire_atmosphere_single_layer', 'Low_cloud_cover_low_cloud', 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud'] - cols = super(RAP, self).columns - idx = [0,3,4,5,6] + 'High_cloud_cover_high_cloud', + 'Downward_Short-Wave_Radiation_Flux_surface', + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'] + cols = super(NAM, self).columns + idx = [0,1,3,4,5,6,9,10] data_labels = dict(zip(cols[idx],variables)) - super(RAP, self).__init__(model_type,model,data_labels) + super(NAM, self).__init__(model_type,model,data_labels) class NCEP(ForecastModel): @@ -425,12 +429,11 @@ def __init__(self): super(NCEP, self).__init__(model_type,model,data_labels) -class GSD(ForecastModel): +class NDFD(ForecastModel): ''' - Subclass of the ForecastModel class representing NCEP forecast model. + Subclass of the ForecastModel class representing NDFD forecast model. - Model data corresponds to NOAA/GSD HRRR CONUS 3km resolution - surface forecasts. + Model data corresponds to NWS CONUS CONDUIT forecasts. Attributes ---------- @@ -449,28 +452,26 @@ class GSD(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self): - model_type = 'Forecast Model Data' - model = 'GSD HRRR CONUS 3km surface' + def __init__(self): + model_type = 'Forecast Products and Analyses' + model = 'National Weather Service CONUS Forecast Grids (CONDUIT)' description = '' variables = ['Temperature_surface', - 'Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_UnknownLevelType-214', - 'Medium_cloud_cover_UnknownLevelType-224', - 'High_cloud_cover_UnknownLevelType-234', - 'Downward_short-wave_radiation_flux_surface'] - cols = super(GSD, self).columns - idx = [0,3,4,5,6,9] + 'Wind_speed_surface', + 'Total_cloud_cover_surface'] + cols = super(NDFD, self).columns + idx = [0,2,3] data_labels = dict(zip(cols[idx],variables)) - super(GSD, self).__init__(model_type,model,data_labels) + super(NDFD, self).__init__(model_type,model,data_labels) -class NDFD(ForecastModel): +class RAP(ForecastModel): ''' - Subclass of the ForecastModel class representing NDFD forecast model. + Subclass of the ForecastModel class representing RAP forecast model. - Model data corresponds to NWS CONUS CONDUIT forecasts. + Model data corresponds to Rapid Refresh CONUS 20km resolution + forecasts. Attributes ---------- @@ -489,15 +490,16 @@ class NDFD(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self): - model_type = 'Forecast Products and Analyses' - model = 'National Weather Service CONUS Forecast Grids (CONDUIT)' + model_type = 'Forecast Model Data' + model = 'Rapid Refresh CONUS 20km' description = '' variables = ['Temperature_surface', - 'Wind_speed_surface', - 'Total_cloud_cover_surface'] - cols = super(NDFD, self).columns - idx = [0,2,3] + 'Total_cloud_cover_entire_atmosphere_single_layer', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud'] + cols = super(RAP, self).columns + idx = [0,3,4,5,6] data_labels = dict(zip(cols[idx],variables)) - super(NDFD, self).__init__(model_type,model,data_labels) + super(RAP, self).__init__(model_type,model,data_labels) diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 0b5021efaf..a53e0e9c26 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -40,110 +40,6 @@ def test_fmcreation(): _models[model[0]] = amodel -def test_GFSdict(): - - gfs = _models['GFS'] - - varlist = ['Temperature_isobaric', - 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud'] - - idx = [1,3,4,5,6,7,8] - label_dict = dict(zip(_variables[idx],varlist)) - - for key, _ in gfs.data_labels.iteritems(): - assert label_dict[key] == gfs.data_labels[key] - - -def test_GSDdict(): - - gsd = _models['GFS'] - - varlist = ['Temperature_surface', - 'Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_UnknownLevelType-214', - 'Medium_cloud_cover_UnknownLevelType-224', - 'High_cloud_cover_UnknownLevelType-234', - 'Downward_short-wave_radiation_flux_surface'] - - idx = [0,3,4,5,6,9] - label_dict = dict(zip(_variables[idx],varlist)) - - for key, _ in gsd.data_labels.iteritems(): - assert label_dict[key] == gsd.data_labels[key] - - -def test_NAMdict(): - - nam = _models['GFS'] - - varlist = ['Temperature_surface', - 'Temperature_isobaric', - 'Total_cloud_cover_entire_atmosphere_single_layer', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud', - 'Downward_Short-Wave_Radiation_Flux_surface', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'] - idx = [0,1,3,4,5,6,9,10] - label_dict = dict(zip(_variables[idx],varlist)) - - for key, _ in nam.data_labels.iteritems(): - assert label_dict[key] == nam.data_labels[key] - - -def test_NCEPdict(): - - ncep = _models['GFS'] - - varlist = ['Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud',] - - idx = [3,4,5,6] - label_dict = dict(zip(_variables[idx],varlist)) - - for key, _ in ncep.data_labels.iteritems(): - assert label_dict[key] == ncep.data_labels[key] - - -def test_NDFDdict(): - - ndfd = _models['GFS'] - - varlist = ['Temperature_surface', - 'Wind_speed_surface', - 'Total_cloud_cover_surface'] - - idx = [0,2,3] - label_dict = dict(zip(_variables[idx],varlist)) - - for key, _ in ndfd.data_labels.iteritems(): - assert label_dict[key] == ndfd.data_labels[key] - - -def test_RAPdict(): - - rap = _models['GFS'] - - varlist = ['Temperature_surface', - 'Total_cloud_cover_entire_atmosphere_single_layer', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud'] - - idx = [0,3,4,5,6] - label_dict = dict(zip(_variables[idx],varlist)) - - for key, _ in rap.data_labels.iteritems(): - assert label_dict[key] == rap.data_labels[key] - - def test_data_query(): for name, model in _models.items(): From cc48a1392f034ee887769af91c2f069ed28f15f9 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Mon, 16 Nov 2015 12:03:16 -0700 Subject: [PATCH 16/88] Updated .gitignore --- .gitignore | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/.gitignore b/.gitignore index 49453ed22e..90f83be5b2 100644 --- a/.gitignore +++ b/.gitignore @@ -67,7 +67,6 @@ coverage.xml # HDF tables *.h5 - #Datafiles *.csv @@ -77,7 +76,11 @@ coverage.xml #Ignore some notebooks *.ipynb !docs/tutorials/*.ipynb -/pvlib/*.csv -/pvlib/pvlibdev.sublime-workspace -/pvlib/pvlibdev.sublime-project -/pvlib/varlists.pkl +pvlib/*.csv +*pvlibdev.sublime-workspace +*pvlibdev.sublime-project +pvlib/varlists.pkl +docs/tutorials/scripts/*.py + +# miscellaneous +**/*ignore* From 25bde12dcdc7995b8c16a3c4bd136c369859e394 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Fri, 20 Nov 2015 15:40:07 -0700 Subject: [PATCH 17/88] Created forecast_to_power.ipynb and updated forecast.py --- .gitignore | 2 +- docs/tutorials/notebooks/forecast.ipynb | 851 ++++++++ .../notebooks/forecast_to_power.ipynb | 1874 +++++++++++++++++ docs/tutorials/notebooks/tmy_to_power.ipynb | 345 +-- pvlib/forecast.py | 214 +- 5 files changed, 3125 insertions(+), 161 deletions(-) create mode 100644 docs/tutorials/notebooks/forecast.ipynb create mode 100644 docs/tutorials/notebooks/forecast_to_power.ipynb diff --git a/.gitignore b/.gitignore index 90f83be5b2..e2467a5edc 100644 --- a/.gitignore +++ b/.gitignore @@ -74,7 +74,7 @@ coverage.xml *.swp #Ignore some notebooks -*.ipynb +!*.ipynb !docs/tutorials/*.ipynb pvlib/*.csv *pvlibdev.sublime-workspace diff --git a/docs/tutorials/notebooks/forecast.ipynb b/docs/tutorials/notebooks/forecast.ipynb new file mode 100644 index 0000000000..68e75461b2 --- /dev/null +++ b/docs/tutorials/notebooks/forecast.ipynb @@ -0,0 +1,851 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "try:\n", + " import seaborn as sns\n", + " sns.set(rc={\"figure.figsize\": (12, 6)})\n", + "except ImportError:\n", + " print('We suggest you install seaborn using conda or pip and rerun this cell')\n", + "\n", + "# built in python modules\n", + "from datetime import datetime, timedelta\n", + "import os\n", + "\n", + "# python add-ons\n", + "import numpy as np\n", + "import pandas as pd\n", + "try:\n", + " import netCDF4\n", + " from netCDF4 import num2date\n", + "except ImportError:\n", + " print('We suggest you install netCDF4 using conda rerun this cell')\n", + "\n", + "# for accessing UNIDATA THREDD servers\n", + "from siphon.catalog import TDSCatalog\n", + "from siphon.ncss import NCSS\n", + "\n", + "from pvlib.forecast import *" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "start = datetime.utcnow() # today's date\n", + "end = start + timedelta(days=7) # 7 days from today\n", + "timerange = [start, end]\n", + "\n", + "coordinates = [-110.9, 32.2] # Tucson, AZ" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "fm = GFS()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "data = fm.get_query_data(coordinates,timerange)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "time_vals = fm.time" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "var_name = 'temperature_iso'" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Qcs65lNx+KwUr/0Fgy+b9DlDtaTrtvhk2bBimaVodM7GPCwsLuffee7O2QOl5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gAAAC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\nQYgLJCkRBEEQBCEu+P/YEYobigAvPAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(9, 8))\n", + "ax.plot(time_vals, data[var_name], 'r', linewidth=2)\n", + "ax.set_ylabel(fm.var_stdnames[var_name] + ' (%s)' % fm.var_units[var_name])\n", + "ax.set_xlabel('Forecast Time (UTC)')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "var_name = 'total_clouds'" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "total_cloud_cover = data[var_name]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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cLsnkSEkmdredUEsIoZZQrJYQ38+hlhBCzMEYDZosIiINW70FnkGDBjFgwAAA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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + "ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name])\n", + "ax.set_xlabel('Forecast Time (UTC)')\n", + "ax.set_title('GFS 0.5 deg')\n", + "for varname in fm.variables[1:]:\n", + " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", + "ax.legend(bbox_to_anchor=(1.4,1.1)) " + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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R19hzFNPaUoyeUvQp4BIRERHZldHeBmhLcWcKuERERMQ9dlsIN4rmleESERER2ZUrRfMN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\nAle9jO7SJcx9+lI4+AFPD6dcWhNrSbjqPL+NnxP44X9QjUZ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QLiYJlxBCCCGEi1VrHy4h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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + "ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2)\n", + "ax.set_ylabel('Total cloud cover' + ' (%s)' % fm.var_units[var_name])\n", + "ax.set_xlabel('Forecast Time (UTC)')\n", + "ax.set_title('GFS 0.5 deg')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "fm = NAM()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "data = fm.get_query_data(coordinates,timerange)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "time_vals = fm.time" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "cloud_vars = fm.variables[3:]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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BBx/w7bffhoLm+tAKj4iIiIicsw4dOsRjjz122uODBg3iwQcfbIEZNc0rr7wS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\nOHnyJBMnTgRg5syZ7N27t1P79WbR0dGsW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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + "for varname in cloud_vars:\n", + " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", + "ax.set_ylabel('Cloud cover (%)')\n", + "ax.set_xlabel('Forecast Time (UTC)')\n", + "ax.legend(bbox_to_anchor=(1.4,1.1))\n", + "ax.set_title('NAM')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "ghis = fm.variables[:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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hX0CH/eU67A+oOPI4/K+0vKLWuh0yEjWib5aG9spUYpwrGh+l2aCvNi5faVCvvPedvtyQ\nX+fzNklpybHKrApuWdXhLS1BrRLdxxzIQoahb7ce0gcrd2vNloOqDiAd2yTqnP7tNaRHG8W4W86e\nuGPV4kOdmf779W51aJMY+QbQnPGLxxzU1RzUtXEZhqEte4sVCEm78w5/H9yqwlqxv1zekqCO9Zew\nw26TJ8EtT4JbBUWl8pdVRJafmdNaI/q2Ve/OqafE8Ur01cazdtshvfzPdSryBeR22tUuPSEy2paV\nFr6fkRIndyP/zc0vKtWHq/bok9V58pWGd+HGxTg1ok+Wzu7fTpmp8Y36fk2JUNeAS+5+S06HTV2y\nPOrWMUXds1N0WjuPXM3wODt+8ZiDupqDujaOkGFo5YZ8LVm+XbsONHzil01SYrxLyQluJSe45UmI\nUXKiO/I4OcEtT2KMkhPcSoh1RkZEghUhrdpcoE/W7NXarYciwbBVolvD+2RpeJ8sS/1R/CH66skL\nVlTq7x9t1f/7Ypck6bT2yZp+3WDZKyuj3o4vvjugD1bu0Za9xZHlvTql6Oz+7dXvtDQ57C37WgmE\nugbc/uul2rXfV+vbrdNhV9e2HnXPTlH3jq3UpW2yXM6m7wT84jFHY9c1WFGpw76AWiXFyOlo+n7T\nVOivJydkGPryuwNasny79uSHTwBLTnSrT9fWinXalZwYHmVLTgiHtOREt5LiXSf9B+tQcZmWf7tP\nn36TpwOFpZHlOe2TNaJPlgZ2z1BcjOnnxUUVffXk7Mn36cW312l3vk92m02XjeikC4dmK7NNcpPW\ndcc+r95fuVufr9uvQEVIkpTqidGPzminUf3aKjmhZc5hS6hrQH6+V77SoDbtKtJ3O4v03c7CI74N\nu5w1Q16KOmd5miTk8YvHHCdaV8MwVOQLaNcBr3Yd8Gl3vl+7D/iUd7BEIcOQw24L73JonaC2afFq\n2zpB7VonqE1q/CkR9uivJyYUMrTiu/16Z/kO7S0Ih7mUpBhdNDRbI/tmqW1Wq6jU1TAMbdp9WJ+s\n2asvv8tXeTA84hLjcmhg93SN7NtWOe2TLXFAOn31xBiGof98tVt//WCLKipDykiJ0y2X9FKXtuFZ\nJ5pLXf1lQS1bk6f3v94T+aLisNs0oFu6zunfvsX1Y0JdA+rqcL7SoDbsLNKGnYX6bmehduf7az3v\ndtrVtV1yZCSvc5YnKn+km8sPiNUcS10DwUrtKQiHtnCAC99WH4dUk80meRLcOuwL1LElyW6zqU1q\nnNq2TlDbtITwbevwsSbNYUS4sdBfj09lKKQV68Ijc/sOhc/KT/PE6KKhnTS8T1akbzRFXUvLK/Tl\ndwf06Td52rT7cGR5RkqcRvTJ0rDemUr1xEa1TY2Jvnr8DvvK9fK76/Xt1kOSpJF9szTh3BzFur8f\nxW1udQ0ZhtZtP6QPVu7Rqs0Fqk4s7dMTNPrMdhrYLUOeFjB6R6hrwLF0OG9JoCrkFem7XYWRXSHV\n3C67cqpCXreOKeqUmWRKyGtuPyBWUbOuhmHoYHGZdh/wa1fVHEq7Dvi0v7BEdfXuhFinOmQkqn1G\nojqkJ6pDm0S1TUuQ2+VQeaBSeYf82lvg196Ckqpbv/KLSus8mD08D1O82qbFq13694EvMzW+0Q8q\njgb667GpDIX02dr9emf5du2vGkVonRyri4d10rDemUf8Lmnquu47VKJl3+Rp2Td5Kqr64mKzSb06\np2pEnyydmZPe4r6cNHVNW5qvN+Xrj+9+J19pUAmxTl1/QQ8N6JZ+xOuac10PHi7Th6v26OPVeyNz\n49kUPsygf7cM9T+9tVonN8+rVhDqGnAiHa7YH9DGXUVav7NQG3YWRXaRVItxOdQ+I/xHuV3r70di\nUpJiTmqItzn/gLQUhmGoPFgpf2mF/GVB+csqVBIMaf3WgnCAy/cfMdWDFB5dy0qLD4e3jES1Tw/f\nHs/p99UCwUrtO1SiPQX+SNDbW+DXgaLSOoOjzSalt4pT27QEtW4Vq1ZVB7q3SgwfBN8qMabWQe/N\nBf21YRWVIS3/dp/++d/tyi8qkyRltIrTRcOyNbTXkWGuWnOpa2UopLXbCvXpmr36elNBZLb/hFin\nzuqZqRF9s9SxTWKz65d1aS41be7KA5Va9P4mfbhqr6TwyQc3XtRTKUl1T/rbEuoarAjpqw0H9Nm6\n/Vq77VCkH0tSdpsk9e+Wrv6np6ttWnyz6cuEugY0Roc77A9U7aoN77LNO1j3hMZxMQ61TUtQVusa\nYS8tQameYwt7LeEHJFoqKkMqKfs+mPlLg7Xu13quLCh/aYVKqh7X/KGtS1K8q1Zw65CRqKy0BNNH\nH4IVldp3qFR7CnzaW1CivAK/9h70a/+h0non6qzmdNiqDpY/MvDVfOyJd0dtigr6a90qKkP69Js8\nvfvfHSo4HA5zbVLidPGwTjqrV5ujnujQHOvqLQnos3X79emavFrHJGekxOnMnNY647TWOq19crM9\n67A51rS52b6vWC++vU77D5XI6bDpqtGn6dyB7WVv4G9XS6trSVmF1mwt0MqNBfpmy8HIcaSSlJka\nr/6np2tAt3R1ykxq0oBHqGuAGR2uuCSgPfm1R2H2FPgjc+f8UIzbccSoXtvW8UrzxNbqOCf7AxIK\nhUepAhUhBYKVKg9WKlgRksNuk9vlkNtpl8tpl9vpkMtpN/WPfyhkqDRQoZKyCpWWh29Lat0GVVJe\nodIfLK8OauWBEz9N3u20KyHOpYRYp+JjXWqbkagMT6zaZySoQ3pis7vUTLAipP2F4d23h4rLVeQr\nr5qbrFxFVZPLlpYfWz1sNskT764V+FKSYpSWHKuMVnFqnRynlKSYRvm/b2m/0M0WrAjp0zV79c/P\nduhQcbkkKSstXpcM66TBPdocc82be1137PPq02/y9Pm6/bV+5yXGudS3a5rOzGmtXp1Tax171dSa\ne02bUihk6F+f79Cbn2xTZchQu/QE3XJJL3XISDzqui25roFgpdZtL9RXGw9o1aaCWsdPp3pidGZO\nugacnq6cDtH/skKoa0A0O1xxSUB788OjLzUDX3E917oLh734SNBrn5msg4f84UBWI5gFgjXv13wu\nfFt9v6IydFztDYc9u1zO7wNfzdDndtrlcjnkctirXhd+zu20K2QYdQS1CpWWV4W1Ywwh9bHZpITY\ncDBLiHMpPtapxNjwbc3lCdXLqkJcQqzziDkIW/IvnmrlwcpI0DvsC0SCX1HkcTj81XddxZocdpvS\nkmOVnhyr9FZxat0qLnxb9fhYd/Vaoa6NIVhRqY9X5+ndz3ao0BsOc+1aJ+iS4Z00sFvGcQfollLX\nylBIm3cf1qrNBfp6U0Gt6VGcDrt6dkrRGVWjeK2a+ItUS6lptB08XKaX3lmnjbuKJEnnDmyvcaO7\nHvM8rlapa2UopI07i/TVxnx9vakg8nMshb+snJHTWgNOT1fPTilRmeOWUNeA5tDhvCWBGiGvJLz7\n7WCJiv11nz15Mtwuu2JcjnD4qgpilSFDwWBIgYrwyF2wIhSZ08dMcTEOxcc4FRcTDl7xMc4jbuNi\nnYqv8Xz16FpsjKPBYf/jYZVfPMeiojIUvlxUjcBX6C1XweFS5ReVKf9wab1n7VaLi3GodXLtoJfe\nKlatk8OPq0/qOJXqWpdAsFIfrdqrdz/fEalp+/QEXTq8s/p3Sz/h/tsS62oYhvIOlujrTflatblA\nW/cU1zpZqHOWJ7ybNqe12rVOiPqurZZYU7N9tm6fFv57o0rLK5Sc4Nbki3qod5e049qGFesaMgxt\nyyvWyo35WrkhP3JykxQeiOnXNU39T09Xny5pps3nSKhrQHPucL7SYK3dt5WGFKoMhUOZyy63yxG5\nH+N0VD0OL/9heItxhUfXjvWXpWEYqqj8PuAFKkIKVu26/T741Q6B1c8HKkKy26T4WFe9QS3O7Ww2\nlx+y4i+ekxEIVqrgcJnyi0ojtzXvlx1l13dyolvpreLUMdOj5DinMlLi1SY1Tm1S4i03aW1NwYrw\ntDe7qs6YXrH+QOSLWceMRF0yvLPOPL31SX8ZsUJ/Pewr1+otB7VqU4HWbj+kYI0vkemtYnXGaek6\nM6d11HZtWaGmjaWkrEKv/t8G/XftfknSmTmtdd0F3eWJP/6pPqxeV8MwtLfAr6+qAt7OGseTVo9G\nd8nyKC05Vq2TY5XmiVWKJ+ak+zShrgEtqcNZ/QekqVDXY2cYhvxlFZGgVzPsFRSV6WBxWYMnonji\nXeGQlxKnjNTwbZuU8LUgW0rgMwxDhd7yyFyF1f/qOqElOzNJlw7vpDNOa91oo09W66/lwUqt23ZI\nX28q0OotBbUOEUiIdVYdh5euXp1TTR35sFJNT9TGXUV6ack6HSwuk9tl189+nKMf9Wt7wn33VKtr\nflFpeARvY7427z5c59RVdptNKUlupSXHKc1TFfaSv79NTYo96kl5hLoGtKQOd6r9gEQLdW08laGQ\nCr3lyi8qU2lFSFt2Fmp/Yan2F5boQGFprRGZH/IkuMNhryrotakKfRkpcU12UP0PR9+q5y2sb9Lp\nzNT4yBnTXdsmq1vHVo2+K9HK/TUUMrRl72Gt2hQ+Dq96EmYpfIZ39+wUdevQSqlJsWqVFKOUpBil\nJMYoxn1yxzFZuabHoqIypLeXbdc//7tdhhH+MnLrpb1O+nq/p3JdD/vK9c3WQ9pfWKKCw2U6eLhM\nBVWHtzQUlGwK7+1onRxXa4SvOvSleWLVrm2rqHwGQp3JTuUfEDNRV3P8sK4hw1CRt/z7kHcofLu/\nsFQHCksbPJEnuSrwpSXHKsbtDB9mUOPQglqHHFQfluCs+Th8WEJ9c78dz+ib1PCk02Y7lfpr3kG/\nVm0u0KpNBdq853Cd8zhKUlyMsyrguWuFver7rRJjGpzO51SqqRQOz3mHSrQ9r1jb8oq1fkd4Ki6b\npAuHZuuyEZ0bZQL9U62uxyJYEdIhb3XIq3FbXKaDh0t1yFtebz+vtuSJy6LS1pax7wRAk7DbbEr1\nxCrVE6se2Sm1ngsZhgqLy2uEvBLtrwp9+UWl4TN7/QGpxiWqTkT1Gd1ul6PqOFS7nA678otK6x19\ny0r7fvStev7Ck51IHMcmKy1BWWkJumBItopLAlqz+aD2FPhU6C1Xkbdchb5yFXoDKi0PT430w4ng\na3LYbfJUTeFTM/ClJMYou32ZKgMVSoxzKTHuyDPkWzLDMHTwcJm27fNqW15xOMjt8x4xLVSaJ0Y3\nXdxT3Tqm1LMlNAaX0x7eE5FS9yhoRWVIRd5yHSw+MvQVHC6NTIcUDYQ6ACfEbgtPo5KWHKuenWo/\nFwoZOuQt0/7CUhUWlytQEZ7GJzKFT/W0PhWVKg+ET9apfi7yuopKlQdCqgwZKi2vrHNKnaYcfcPR\neeLdGtE364jl1cd5FnrLw2HPV17nfV9pMHL/aKrnskysmgopsfp+1TRJ4fs1lseGHzeHyZWL/QFt\nqxqB214V5OqayijVE6POWZ7wv8wkdW2XTF9vBpwOu1pXTSXVrY7nQ0eZPL9R2xK1dwJwyrDbbVXT\npZz8dRgrKmvP4Vg9GXdq1agNo28tj81mi4SrhibEDVaEIiHvh8HPX16pouIy+UqD8pUGw2fxH2MA\nrCmuatql7wNgzamZfnjfFZ7WKTZ8G+NyHHf/Ky2v0I6q4Bb+59XB4rIjXpcY56oKcEnqVBXkklvA\nhetxpGjOGkGoA9CsOR3h3a3xsU3dEkSby2mvmlPxyC8HNY/9qr4+tK80fHlBX1lQ/qqwF76tCN+v\nubzqcoTVu4GrL/92POw2m+JjnVXzd9YOfNVzdcbFOGWTtHO/V1vzirXvYMkRB93HuBzKzkxS56yk\nyEhc6+RYvrDguBHqAAAtms1mU6zbqVi3U62Tj3296qvo+Mu+D4DVV9OpeSnE0vIal0es+ldaVqFA\nRSgyUigdWyh02G3qkJGozlkedcpKUpcsj7LSEprNHKBo2Qh1AIBTkr3GbuA2J3CuQUVlqPb1rmvc\nrxkEKypDapceDnIdMhKPOqcZcKIIdQAAnACnwy5PvPuErtwAmIGvCwAAABZAqAMAALAAQh0AAIAF\nEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOoAAAAs\ngFAHAACEDKSeAAAfcUlEQVRgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAF\nOM3acDAY1MyZM7V3714FAgFNmTJFmZmZuvXWW9WpUydJ0sSJE3XBBRfojTfe0KJFi+R0OjVlyhSN\nHj3arGYBAABYkmmhbsmSJUpNTdVjjz2mw4cP67LLLtPtt9+uG2+8UTfccEPkdfn5+Vq4cKEWL16s\n8vJyTZgwQcOGDZPb7TaraQAAAJZjWqgbO3aszj//fElSKBSS0+nU2rVrtW3bNi1dulTZ2dmaOXOm\n1qxZo/79+8vlcsnlcik7O1sbNmxQnz59zGoaAACA5ZgW6uLj4yVJPp9P//M//6Nf/vKXKi8v109/\n+lP17NlTL7zwghYsWKAePXooKSkpsl5CQoJ8Pp9ZzQIAALAk00KdJOXl5emOO+7QpEmTdNFFF8nr\n9UYC3JgxY/Twww9r0KBB8vv9kXX8fr88Hk+D201JiZfT6TCz6Y0qPT3p6C/CcaOu5qCu5qCujY+a\nmoO6tlymhbqCggLdeOONys3N1VlnnSVJmjx5su6//3717dtXy5cvV+/evdW3b1899dRTCgQCKi8v\n15YtW5STk9PgtgsLS8xqdqNLT09Sfr63qZthOdTVHNTVHNS18VFTc1BXc0QrKJsW6l544QV5vV49\n99xzeu655yRJM2bM0Lx58+R0OpWRkaGHHnpICQkJuvbaazVx4kSFQiFNnTqVkyQAAACOk80wDKOp\nG3G8WtK3CL71mIO6moO6moO6Nj5qag7qao5ojdQx+TAAAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDU\nAQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWACh\nDgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAII\ndQAAABZAqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZA\nqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABbQYKgzDEM+\nn++I5fn5+aY1CAAAAMev3lD32WefaeTIkTr77LN13XXXaf/+/ZHnbr755qNuOBgM6t5779WkSZM0\nbtw4vf/++9qxY4cmTJigSZMm6YEHHpBhGJKkN954Q1deeaXGjx+vDz/88OQ/FQAAwCnGWd8Tv/71\nr7Vw4UJ17NhRL7/8sq6++mr9+c9/Vps2bY5pw0uWLFFqaqoee+wxHT58WJdddpl69OihqVOnatCg\nQcrNzdXSpUvVr18/LVy4UIsXL1Z5ebkmTJigYcOGye12N9qHBAAAsLp6Q10oFFLnzp0lSbfccovc\nbrduuukmvfbaa8e04bFjx+r888+PbMvpdGrdunUaNGiQJGnUqFFatmyZ7Ha7+vfvL5fLJZfLpezs\nbG3YsEF9+vQ52c8GAABwyqg31KWlpenVV1/VJZdcIo/Ho+uvv14HDhzQDTfcoOLi4qNuOD4+XpLk\n8/n0P//zP7rrrrs0f/78yPMJCQnyer3y+XxKSkqqtbyu4/hqSkmJl9PpOGobmov09KSjvwjHjbqa\ng7qag7o2PmpqDuractUb6ubNm6df//rXysjI0JgxYyRJ9913n/70pz/p+eefP6aN5+Xl6Y477tCk\nSZN08cUX67HHHos85/P55PF4lJiYKL/fH1nu9/vl8Xga3G5hYckxvX9zkJ6epPx8b1M3w3Koqzmo\nqzmoa+OjpuagruaIVlCu90SJjIwM3XvvvZFAV+3666/X559/ftQNFxQU6MYbb9S9996rn/zkJ5Kk\nHj16aMWKFZKkjz/+WAMHDlTfvn315ZdfKhAIyOv1asuWLcrJyTmZzwQAAHDKqXekLhgMatasWRox\nYoQGDhyo3r17R56z2WxH3fALL7wgr9er5557Ts8995wkadasWZo7d66CwaC6du2qsWPHymaz6dpr\nr9XEiRMVCoU0depUTpIAAAA4Tjajel6RH7jlllu0bds2nX766VqwYMExBbloaUlDwwxlm4O6moO6\nmoO6Nj5qag7qao4m3/26YMECtW/fXmeeeabWrVsXlcYAAADgxNS7+9Xlcmnu3Llq27ZtNNsDAACA\nE1DvSF0wGNRjjz2mr7/+Wnv27IlmmwAAAHCc6g118+bN04YNG/SHP/xBcXFx0WwTAAAAjlO9oe6m\nm25Senq6bDab9u7dG802AQAA4DjVe0xdenq6rr/+eo0ePbpZnfkKAACAI9Ub6txut84++2wFAgF9\n8skntS4NZrPZdPnll0elgQAAADi6ekNdtZtuukmS1K5du1rLCXUAAADNx1FDXVFRkd5+++1otAUA\nAAAnqN4TJaqdddZZWrZsmUKhUDTaAwAAgBNw1JG6tm3bavLkybWW2Ww2rV+/3rRGAQAA4PgcNdT9\n7//+r95//32uLAEAANCMHXX3a5s2bZScnByNtgAAAOAEHXWkLiMjQ5dcconOPPNMud3uyPJ58+aZ\n2jAAAAAcu6OGutGjR2v06NG1ljEZMQAAQPNSb6i75pprNHjwYI0cOVL9+vUjyAEAADRj9Ya6l19+\nWV988YXee+89zZ8/X23bttWoUaM0cuRIpaamRrONAAAAOIoGLxM2fPhwDR8+XJK0e/duffzxx5o9\ne7a8Xq9eeeWVqDUSAAAADas31E2fPl0jRozQsGHDlJqaqvbt22vixImaOHGiAoFANNsIAACAo6g3\n1J1xxhn68MMP9eSTT8rj8Wj48OEaMWKEBgwYUOssWAAAADQ9m2EYxtFetGfPHn311Vf68ssvtWrV\nKqWnp+vll1+ORvvqlJ/vbbL3Pl7p6Uktqr0tBXU1B3U1B3VtfNTUHNTVHOnpSVF5n6NOPuz3+7V+\n/Xp9++232rhxo2JiYtStW7dotA0AAADHqN7dry+88II+/fRT7d27V4MHD9awYcN06623Ki0tLZrt\nAwAAwDGoN9Q9++yzOuuss5Sbm6shQ4YoNjY2mu0CAADAcag31H322Wdavny5li5dqkcffVRZWVka\nMWKERowYoe7du0ezjQAAADiKekNdUlKSzj//fJ1//vmSpK1bt+qTTz7RPffco6KiIn366adRayQA\nAAAa1uC1X/1+v1atWqWVK1dq5cqV2rlzp3r16qWhQ4dGq30AAAA4BvWGussuu0x79+7VmWeeqaFD\nh+q+++5T9+7duQYsAABAM1RvqJszZ4769u0rl8sVzfYAAADgBNQb6gYMGBDNdgAAAOAkHHXyYQAA\nADR/hDoAAAALqHf364IFCxpc8Y477mj0xgAAAODE1DtSZxjGcS0HAABA06l3pO7OO++MZjsAAABw\nEuoNdTNmzGhwxXnz5jV6YwAAAHBi6g11gwYNks1mk2EYevbZZ/WLX/wisuuVCYgBAACal3pD3U9+\n8pPI/VdeeUVXXHFFVBoEAACA48eUJgAAABZAqAMAALCAY5qnrqCg4Ih56451nrrVq1fr8ccf18KF\nC7Vu3Trddtttys7OliRNnDhRF1xwgd544w0tWrRITqdTU6ZM0ejRo0/gowAAAJy66g11hmFETogY\nP358ncuP5qWXXtLbb7+thIQESdLatWt1ww036IYbboi8Jj8/XwsXLtTixYtVXl6uCRMmaNiwYXK7\n3Sf0gQAAAE5Fps5Tl52drQULFui+++6TJH377bfavn27li5dquzsbM2cOVNr1qxR//795XK55HK5\nlJ2drQ0bNqhPnz4n/f4AAACninpDnSS9+uqrysjI0JgxY3TVVVfp0KFDcjqdeumllyK7UBty3nnn\naffu3ZHH/fr10/jx49WzZ0+98MILWrBggXr06KGkpKTIaxISEuTz+RrcbkpKvJxOx1Hfv7lIT086\n+otw3KirOairOahr46Om5qCuLVe9oe7FF1/Uf//7X82ZM0eSVF5eroULF+qDDz7Qiy++qEcfffS4\n32zMmDGRADdmzBg9/PDDGjRokPx+f+Q1fr9fHo+nwe0UFpYc93s3lfT0JOXne5u6GZZDXc1BXc1B\nXRsfNTUHdTVHtIJyvWe//uMf/9CCBQvUpUsXSZLD4VC7du00YcIErVq16oTebPLkyVqzZo0kafny\n5erdu7f69u2rL7/8UoFAQF6vV1u2bFFOTs4JbR8AAOBUVe9IncPhUGJiYuTxbbfdFll+vCcxVJ9Y\n8cADD+jhhx+W0+lURkaGHnroISUkJOjaa6/VxIkTFQqFNHXqVE6SAAAAOE4Nnv3q8/kiwW7s2LGS\nJK/Xe1yXCWvfvr1ef/11SVLPnj31l7/85YjXjBs3TuPGjTuuhgMAAOB79e5+veSSSzRt2jR5vd/v\nW/f5fJoxY4YuueSSqDQOAAAAx6beUHfzzTcrNTVVI0eO1JVXXqmrrrpKI0eOVFpaWq155gAAAND0\n6t396nQ69fDDD+v222+PnNzQq1cvtWvXLmqNAwAAwLFpcJ46ScrMzFRmZmY02gIAAIATVO/uVwAA\nALQchDoAAAALINQBAABYAKEOAADAAgh1AAAAFkCoAwAAsABCHQAAgAUQ6gAAACyAUAcAAGABhDoA\nAAALINQBAABYAKEOAADAAgh1AAAAFkCoAwAAsABCHQAAgAUQ6gAAACyAUAcAAGABhDoAAAALINQB\nAABYAKEOAADAAgh1AAAAFkCoAwAAsABCHQAAgAUQ6gAAACyAUAcAAGABhDoAAAALINQBAABYAKEO\nAADAAgh1AAAAFkCoAwAAsABCHQAAgAUQ6gAAACyAUAcAAGABhDoAAAALINQBAABYgOmhbvXq1brm\nmmskSTt27NCECRM0adIkPfDAAzIMQ5L0xhtv6Morr9T48eP14Ycfmt0kAAAAyzE11L300ku6//77\nFQwGJUnz5s3T1KlT9eqrr8owDC1dulT5+flauHChXn/9db388st64oknFAgEzGwWAACA5Zga6rKz\ns7VgwYLIiNy6des0aNAgSdKoUaO0fPlyffPNN+rfv79cLpcSExOVnZ2tDRs2mNksAAAAyzE11J13\n3nlyOByRx9XhTpISEhLk9Xrl8/mUlJRUa7nP5zOzWQAAAJbjjOab2e3fZ0ifzyePx6PExET5/f7I\ncr/fL4/H0+B2UlLi5XQ6GnxNc5KennT0F+G4UVdzUFdzUNfGR03NQV1brqiGuh49emjFihUaPHiw\nPv74Yw0dOlR9+/bVU089pUAgoPLycm3ZskU5OTkNbqewsCRKLT556elJys/3NnUzLIe6moO6moO6\nNj5qag7qao5oBeWohDqbzSZJmj59umbPnq1gMKiuXbtq7NixstlsuvbaazVx4kSFQiFNnTpVbrc7\nGs0CAACwDJtR80C3FqIlfYvgW485qKs5qKs5qGvjo6bmoK7miNZIHZMPAwAAWAChDgAAwAIIdQAA\nABZAqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMA\nALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0A\nAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOoA\nAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOoAAAAsgFAH\nAABgAYQ6AAAAC3A2xZteccUVSkxMlCR16NBBt956q6ZPny673a6cnBzl5ubKZrM1RdMAAABapKiH\nuvLycknSwoULI8tuu+02TZ06VYMGDVJubq6WLl2qc889N9pNAwAAaLGivvv1u+++U2lpqSZPnqzr\nrrtOq1at0rp16zRo0CBJ0qhRo7R8+fJoNwsAAKBFi/pIXVxcnCZPnqxx48Zp+/btuummm2o9Hx8f\nL6/XG+1mAQAAtGhRD3WdOnVSdnZ25H6rVq20fv36yPN+v18ej6fBbaSkxMvpdJjazsaUnp7U1E2w\nJOpqDupqDura+KipOahryxX1UPf3v/9dGzduVG5urvbv3y+/36/hw4drxYoVGjx4sD7++GMNHTq0\nwW0UFpZEqbUnLz09Sfn5jDw2NupqDupqDura+KipOairOaIVlKMe6q666ipNnz5dEydOlM1m07x5\n89SqVSvNnj1bwWBQXbt21dixY6PdLAAAgBYt6qHO5XLpiSeeOGJ5zbNhAQAAcHyYfBgAAMACCHUA\nAAAWQKgDAACwAEIdAACABRDqAAAALIBQBwAAYAGEOgAAAAsg1AEAAFgAoQ4AAMACCHUAAAAWQKgD\nAACwAEIdAACABRDqAAAALIBQBwAAYAGEOgAAAAsg1AEAAFgAoQ4AAMACCHUAAAAWQKgDAACwAEId\nAACABRDqAAAALIBQBwAAYAGEOgAAAAsg1AEAAFgAoQ4AAMACCHUAAAAWQKgDAACwAEIdAACABRDq\nAAAALIBQBwAAYAGEOgAAAAsg1AEAAFgAoQ4AAMACCHUAAAAWQKgDAACwAEIdAACABRDqAAAALIBQ\nBwAAYAGEOgAAAAsg1AEAAFiAs6kbUC0UCumBBx7Qxo0b5XK5NHfuXHXs2LGpmwUAaEZCRkglwVJV\neEtVFggp3hUnu43xCUBqRqHuP//5j4LBoF5//XWtXr1av/rVr/T88883dbMAACarDFXKF/SrOOCT\nN+CVN+BTccArb9Anb8D3/eOAT76gXyEjFFnXbrMryZWgJHeSktyJkX8ed5KSXOHbRHeiPO5EJboS\n5LA7mvCTAuZqNqFu5cqVGjlypCSpX79++vbbb+t97abCrZKMKLXs5OQb8SoqKmnqZlgOdTUHdTXH\nqVxXQ1J5ZXkknNUMaMXBcIjzB4+vNnHOOCXFxMtbXqLSilIdDnh1OOA96no22ZTgiq8KfklKciWE\nw1/VY487UTEO9wl+Ums4lfuqmdLTz4jK+zSbUOfz+ZSYmBh57HA4FAqFZLcfOaz+9NcvRLNpAAAT\nVYctT43Rtsh91w8euxPltDuVnp6k/HyvgqEK+X4QFsOB0XtEkPQHS+QL+uUL+pXn39/UHxunkGGn\n/zYq79NsQl1iYqL8fn/kcX2BTpLeGB+d4gAAmq/09KSqeylN2g6guWg2R5f2799fH3/8sSRp1apV\n6tatWxO3CAAAoOWwGYbRLA5OMwxDDzzwgDZs2CBJmjdvnjp37tzErQIAAGgZmk2oAwAAwIlrNrtf\nAQAAcOIIdQAAABZAqAMAALCAZjOlSXNS1yXLEhISdP/998vr9aqyslK//vWv1aFDhwbX6dixo3bs\n2KHp06fLbrcrJydHubm5stlsJ71eS7V69Wo9/vjjWrhwodavX6/c3Fw5nU516tRJc+fObZTanGo1\npb+ah/7auOir5qK/Nq4W2V8NHOHf//63MX36dMMwDGPVqlXGbbfdZkyfPt3417/+ZRiGYXz22WfG\nhx9+2OA6U6ZMMQzDMG699VZjxYoVhmEYxpw5c4z/+7//a5T1WqLf/e53xsUXX2yMHz/eMAzD+PnP\nf2589NFHhmEYxt133228//77tV5PTY8N/dUc9NfGR181D/218bXE/sru1zrUdcmylStXat++fbrh\nhhu0ZMkSDR48WJI0bdo05eXl1XuZs3Xr1mnQoEGSpFGjRmn58uUntV5Llp2drQULFsioOuG6Z8+e\nKioqkmEY8vv9crlckqjp8aK/moP+2vjoq+ahvza+lthfCXV1qOuSZTt27FBycrL++Mc/KisrSy+9\n9JIkaf78+crKyqpzncrKysgPmCTFx8fL6/We1Hot2XnnnSeH4/uLaWdnZ2vu3Lm68MILdejQocgP\nBzU9PvRXc9BfGx991Tz018bXEvsroa4OdV2yrHXr1jrnnHMkSeecc04kRTe0jsPhqHWpM7/fL4/H\n0yjrWcHcuXP12muv6V//+pcuvfRS/epXv6r1PDU9NvTX6KC/njz6avTQX09eS+yvhLo61HXJsgED\nBujDDz+UJK1YsUI5OTlHXUeSevTooRUrVkiSPv74Yw0cOLBR1rOCVq1aKSEhQZKUkZGh4uLiWs9T\n02NDf40O+uvJo69GD/315LXI/npMRwueYkKhkDFnzhxj/Pjxxvjx442tW7cae/bsMW644QZj/Pjx\nxs0332wUFxcbhmEY9913n5GXl1fnOoZhGNu2bTOuvvpqY/z48cbMmTONUCh0Uuu1dLt27YocyPvl\nl18aP/vZz4yrr77auPHGG409e/YYhkFNjxf91Tz018ZFXzUX/bVxtcT+ymXCAAAALIDdrwAAABZA\nqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWICzqRsAoGXbvXu3xo4dq9NOO63W\n8hdffFFt2rRpolZ97/3339fOnTt1/fXXR5Zt2LBB06ZNkyTl5eUpPj5eycnJcrvduu222/Ttt9/q\nF7/4RaO2Y9++fXrmmWc0b948XXPNNbrzzjsj1+OUpOnTp2vIkCEyDEOvvPKKJGnz5s3Kzs6Wy+XS\ngAEDNHv2bPl8Pj3xxBP68ssv5XA45PF4NH36dPXs2VP79u3T008/fcQloQCcGgh1AE5aRkaG3nzz\nzaZuRp3Wrl0rm81Wa1m3bt0i7Z0xY4aGDBmiyy+/PPJ89bUdG9Ojjz6qX/7yl5HHP2yTzWaTzWbT\nFVdcoZ/85CeRdrz00ktq27atpPD1IG+++WYNHTpUb731lux2uz7//HPdfPPNevfdd5WZmam0tDR9\n9NFH+tGPftTonwFA80aoA2CagoICzZo1S3l5eXI6nfrlL3+pkSNH6tlnn9WqVau0b98+XX311Ro2\nbJgefPBBFRUVKTY2VrNnz1aPHj20Z88ezZgxQ4WFhYqNjdUjjzyibt266amnntJnn32moqIipaSk\naMGCBUpOTtbMmTO1efNmSdLEiRPVv39/vf7667LZbGrXrp2uuOKKOttZ88I6ixcv1hdffKF58+bp\nnHPO0YUXXqgPP/xQDodDU6dO1csvv6ydO3dq2rRpuuCCC1RQUKDc3Fzl5eXJbrfr7rvv1tChQ2tt\nf8eOHTpw4IA6d+7cYL2OdoGfzz//XPn5+bVGEYcMGaJ58+apsrJSknT55ZfroYceItQBpyBCHYCT\nduDAgVojXZdeeqluvPFGPfzwwxo6dKiuv/567dq1SxMnToyMkAWDQf3zn/+UJP3sZz9Tbm6uevTo\noc2bN+uOO+7Qe++9pwcffFBjx47VxIkT9dFHH+m3v/2tpk6dqm3btmnRokWSpGnTpmnJkiXq3bu3\niouL9Y9//ENFRUWaP3++xo0bpwkTJkhSvYHuh344gtamTRu98847mjFjhn73u99p4cKF+uqrr/To\no4/qggsu0Ny5c3XllVfqnHPO0YEDBzRp0iS9+eabkYupS9IHH3zQKBc4X7dunfr27XvE8lGjRkXu\n5+TkaPPmzfJ6vUpKSjrp9wTQchDqAJy0+na/fv7555o7d64kqUOHDurXr59Wr14tm80WCSd+v1/f\nfvutZsyYEVmvtLRURUVF+uKLL/TUU09Jkn70ox9FRp+mTZumRYsWadu2bVq1apU6duyonJwcbdu2\nTZMnT9aPfvQj3XPPPSf0WX44WlYdmNq1a6fMzEzZ7XZlZWXp8OHDkqTly5dr27Zt+s1vfiNJqqys\n1K5du9S9e/fINnbu3FlrlM5uP/IcNcMwjgiUP+RwOBQKhY76GTIzM7Vz50716tXrqK8FYB2EOgCm\n+WFAMgwjspswNjZWUvg4sZiYmFqhcP/+/UpOTpbL5aq1jc2bN6usrEx33323brzxRo0dO1YOh0OG\nYahVq1Z65513tHz5cn300Ue64oorIiOBJ8PlckXuOxyOOj/jK6+8Io/HIyk8atm6detar7Hb7bXW\nTU5OjoTCagUFBWrVqlWDbendu7dee+21I5Y/+eSTGj58uIYMGSJJcjqddQZHANbGTz0A0wwZMkR/\n+9vfJEm7du3SypUrdeaZZ9YKaklJScrOztbbb78tSfr00081adIk2Ww2DRw4UO+++64kadmyZZoz\nZ46+/PJLDRkyROPHj1fXrl316aefqrKyUu+//77uvfdejR49WrNmzVJ8fLzy8vLkcDhUUVFh2mc8\n66yz9Oqrr0qSNm3apEsvvVRlZWW1XtOhQwft3bu31jpvvfVWJOBu2bJFa9eu1RlnnNHgew0cOFCp\nqalasGBBZMTuk08+0eLFi5WTkxN5XV5entq3b98onw9Ay8FIHYCTVt9uw/vvv19z5szR3//+d9ls\nNs2dO1etW7c+4vWPP/64cnNz9fvf/15ut1tPP/20JGnOnDmaNWuWXnvtNcXFxemRRx5RYmKi7rzz\nTl166aVyOp2REypuv/12/fvf/9ZFF12kmJgYnX/++Tr99NNVXFysadOmKT09XZMmTTpq+4+2C/SH\nr6v+jJdeeqkMw9Bjjz2m+Pj4Wq89++yza+0OHj9+vHbt2qXLLrtMNptNsbGxevLJJ486UidJv/3t\nbzVv3jxdfPHFcjqdSk1N1e9//3ulpqZKkjZu3KguXbpwPB1wCrIZRzvdCgBw0u6880794he/qDWi\nZoZHH31Uw4cP5+xX4BTE7lcAiIIZM2bo5ZdfNvU98vLydOjQIQIdcIpipA4AAMACGKkDAACwAEId\nAACABRDqAAAALIBQBwAAYAGEOgAAAAv4/wmTRwk04dZaAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + "for varname in ghis:\n", + " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", + "ax.set_ylabel('GHI W/m**2')\n", + "ax.set_xlabel('Forecast Time (UTC)')\n", + "ax.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "fm = NDFD()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data = fm.get_query_data([-110.9,32.2],[start,end])" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "time_vals = fm.time" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "total_cloud_cover = data['total_clouds']\n", + "temp = data['temperature']\n", + "wind = data['wind_speed']" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0, 100)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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mzTRt2jTFxMRU6YJjxowp9dq8efOqdM5Q5nlCkq2LAAAIKWXOrD9+/LjmzZunb7/9VjNm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\nU2HjFCk21mfX9RXb0aOn13D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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + "ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2)\n", + "ax.set_ylabel('Cloud cover (%)')\n", + "ax.set_xlabel('Forecast Time (UTC)')\n", + "plt.ylim(0,100)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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J60WXABB97mlHYvINiQRFd91Bt2+chbJ5E8kjjmTn3PeIf/PSjj9spiti+WxhEf5gHuWn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\nOx8j6ziOzZ9hOhxaSgPyMgZSeGk77D//RNLjj5z1+YGyFVekg01vAyI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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + " fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + " ax.plot(time_vals, temp, 'r', linewidth=2)\n", + " ax.set_ylabel('temp {}'.format(fm.var_units['temperature']))\n", + " ax.set_xlabel('Forecast Time (UTC)')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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yP/0QwV4WyRMREdnB3ckWgNDosQAA78rlNkcSGy3O0OgxltxP7uHesUZERESpwPXJVnDs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\nIi6kYktERETEhf4/M2X3QFBl8h0AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + " fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + " ax.plot(time_vals, wind, 'r', linewidth=2)\n", + " ax.set_ylabel('wind {}'.format(fm.var_units['wind_speed']))\n", + " ax.set_xlabel('Forecast Time (UTC)')" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "fm = RAP()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data = fm.get_query_data([-110.9,32.2],[start,end])" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "time_vals = fm.time" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds']" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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XNf8O+fwiIiIS3lR2RAQA0zR5Y8m/mFXwDrhr8NS24heDfsr4XoNszTWx92VYFuxjK9tL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\nhmGwdOlSCgsLcblcLFu2jEGDdIXhRlTW1bI6N4v9F/bRFHK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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + "for varname in cloud_vars:\n", + " ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname)\n", + "ax.set_ylabel('Cloud cover (%)')\n", + "ax.set_xlabel('Forecast Time (UTC)')\n", + "ax.legend(bbox_to_anchor=(1.4,1.1))" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'GSD' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mfm\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mGSD\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mNameError\u001b[0m: name 'GSD' is not defined" + ] + } + ], + "source": [ + "fm = GSD()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data = fm.get_query_data([-110.9,32.2],[start,end])" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "time_vals = fm.time" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds']" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "var_name = 'downward_shortwave_radflux'" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "ghi = data[var_name]" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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blnDYKKLW5yPG3fR2jhMREbGLjuyIRIiC8t0AdEhsb3OS8NMsNo7zevdrcvfS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\nhmGwdOlSCgsLcblcLFu2jEGDdIXhRlTW1bI6N4v9F/bRFHK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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + "for varname in cloud_vars:\n", + " ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname)\n", + "ax.set_ylabel('Cloud cover (%)')\n", + "ax.set_xlabel('Forecast Time (UTC)')\n", + "ax.legend(bbox_to_anchor=(1.4,1.1))" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'Series' object has no attribute 'find'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m 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*args, **kwargs)\u001b[0m\n\u001b[0;32m 302\u001b[0m \u001b[1;32mreturn\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 303\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mremaining\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m<=\u001b[0m \u001b[1;36m3\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 304\u001b[1;33m \u001b[1;32mfor\u001b[0m \u001b[0mseg\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_plot_args\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mremaining\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 305\u001b[0m \u001b[1;32myield\u001b[0m \u001b[0mseg\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 306\u001b[0m \u001b[1;32mreturn\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mC:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\matplotlib\\axes\\_base.py\u001b[0m in \u001b[0;36m_plot_args\u001b[1;34m(self, tup, kwargs)\u001b[0m\n\u001b[0;32m 261\u001b[0m \u001b[0mret\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 262\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mis_string_like\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 263\u001b[1;33m \u001b[0mlinestyle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmarker\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolor\u001b[0m \u001b[1;33m=\u001b[0m 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the\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 84\u001b[0m \u001b[1;31m# string\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 85\u001b[1;33m \u001b[1;32mif\u001b[0m \u001b[0mfmt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfind\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'--'\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 86\u001b[0m \u001b[0mlinestyle\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'--'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 87\u001b[0m \u001b[0mfmt\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfmt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'--'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m''\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mC:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m 2148\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2149\u001b[0m raise AttributeError(\"'%s' object has no attribute '%s'\" %\n\u001b[1;32m-> 2150\u001b[1;33m (type(self).__name__, name))\n\u001b[0m\u001b[0;32m 2151\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2152\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mAttributeError\u001b[0m: 'Series' object has no attribute 'find'" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + "ax.plot(time_vals, ghi[:].squeeze(), linewidth=2)\n", + "ax.set_ylabel('GHI' + ' (%s)' % fm.var_units[var_name])\n", + "ax.set_xlabel('Forecast Time (UTC)')" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "fm = NCEP()" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data = fm.get_query_data([-110.9,32.2],[start,end])" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "time_vals = fm.time" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "cloud_vars = fm.variables[3:]" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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UVDBWh4PIEF8q61rZkVlCQn+9WO8sfe91j4qhiLlcVm4uuOACtmzZwpVXXonT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\nqKyWbpEB3JPcVxt1ioiIiIi0Qy4fblZvzOe7faX4envw2C3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4BY3ciIiIiIiIW1C4ERER\nERERt6BwIyIiIiIibkHhRkRERERE3ILCjYiIiIiIuIX/D0Fr5lmjxapaAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + "for varname in cloud_vars:\n", + " ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname)\n", + "ax.set_ylabel('Cloud cover (%)')\n", + "ax.set_xlabel('Forecast Time (UTC)')\n", + "ax.legend(bbox_to_anchor=(1.4,1.1))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.4.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/docs/tutorials/notebooks/forecast_to_power.ipynb b/docs/tutorials/notebooks/forecast_to_power.ipynb new file mode 100644 index 0000000000..64f954836f --- /dev/null +++ b/docs/tutorials/notebooks/forecast_to_power.ipynb @@ -0,0 +1,1874 @@ +{ + "cells": [ + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "# Forecast to Power Tutorial\n", + "\n", + "This tutorial will walk through the process of going from Unidata forecast model data to AC power using the SAPM.\n", + "\n", + "Table of contents:\n", + "1. [Setup](#Setup)\n", + "2. [Load Forecast data](#Load-Forecast-data)\n", + "2. [Calculate modeling intermediates](#Calculate-modeling-intermediates)\n", + "2. [DC power using SAPM](#DC-power-using-SAPM)\n", + "2. [AC power using SAPM](#AC-power-using-SAPM)\n", + "\n", + "This tutorial has been tested against the following package versions:\n", + "* pvlib 0.2.0\n", + "* Python 2.7.10\n", + "* IPython 3.2\n", + "* pandas 0.16.2\n", + "\n", + "It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0.\n", + "\n", + "Authors:\n", + "* Derek Groenendyk (@moonraker), University of Arizona, November 2015\n", + "* Will Holmgren (@wholmgren), University of Arizona, November 2015" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "## Setup" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These are just your standard interactive scientific python imports that you'll get very used to using." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# built-in python modules\n", + "from datetime import datetime,timedelta\n", + "import inspect\n", + "import os\n", + "\n", + "# scientific python add-ons\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "# plotting stuff\n", + "# first line makes the plots appear in the notebook\n", + "%matplotlib inline \n", + "import matplotlib.pyplot as plt\n", + "import matplotlib as mpl\n", + "# seaborn makes your plots look better\n", + "try:\n", + " import seaborn as sns\n", + " sns.set(rc={\"figure.figsize\": (12, 6)})\n", + " sns.set_color_codes()\n", + "except ImportError:\n", + " print('We suggest you install seaborn using conda or pip and rerun this cell')\n", + "\n", + "# finally, we import the pvlib library\n", + "import pvlib" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "## Load Forecast data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pvlib forecast module only includes several models. To see the full list of forecast models visit the Unidata website:\n", + "\n", + "http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/by_state_and_city.html" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Choose a location.\n", + "location = [32.2,-110.9] # Tucson, AZ\n", + "tz = 'US/Arizona'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Define some PV system parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tucson: latitude=32.2, longitude=-110.9, tz=US/Arizona, altitude=7.0\n" + ] + } + ], + "source": [ + "surface_tilt = 30\n", + "surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention\n", + "albedo = 0.2\n", + "\n", + "# create pvlib Location object based on meta data\n", + "sand_point = pvlib.location.Location(location[0], location[1], altitude=7.0, name='Tucson',tz=tz)\n", + "print(sand_point)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "start = datetime.now() # today's date\n", + "end = start + timedelta(days=7) # 7 days from today\n", + "timerange = pd.date_range(start, end, tz=tz)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Define forecast model\n", + "fm = pvlib.forecast.GFS()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Retrieve data\n", + "forecast_data = fm.get_query_data(location,timerange)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "solpos = pvlib.solarposition.get_solarposition(fm.time, sand_point)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "fm.addRadiation(solpos.zenith)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look at the downloaded version of the forecast data." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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temperaturetemperature_isowind_speedwind_speed_gustpressuretotal_cloudslow_cloudsmid_cloudshigh_cloudsboundary_cloudsconvect_cloudsdownward_shortwave_radfluxdownward_shortwave_radflux_avgdnidhighi
2015-11-21 00:00:00-07:00NaN26.4500123.6635643.690880.203125000000NaNNaNNaNNaNNaN
2015-11-21 03:00:00-07:00NaN24.1499941.6362461.691025.000000000000NaNNaNNaNNaNNaN
2015-11-21 06:00:00-07:00NaN23.5500181.1272091.191089.484375000000NaNNaNNaNNaNNaN
2015-11-21 09:00:00-07:00NaN23.0500181.9636962.091085.210938000000NaNNaN106.823313135.019364173.170670
2015-11-21 12:00:00-07:00NaN20.9500124.5660054.591075.539062000000NaNNaN307.189787194.811046383.033312
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" + ], + "text/plain": [ + " temperature temperature_iso wind_speed \\\n", + "2015-11-21 00:00:00-07:00 NaN 26.450012 3.663564 \n", + "2015-11-21 03:00:00-07:00 NaN 24.149994 1.636246 \n", + "2015-11-21 06:00:00-07:00 NaN 23.550018 1.127209 \n", + "2015-11-21 09:00:00-07:00 NaN 23.050018 1.963696 \n", + "2015-11-21 12:00:00-07:00 NaN 20.950012 4.566005 \n", + "\n", + " wind_speed_gust pressure total_clouds \\\n", + "2015-11-21 00:00:00-07:00 3.6 90880.203125 0 \n", + "2015-11-21 03:00:00-07:00 1.6 91025.000000 0 \n", + "2015-11-21 06:00:00-07:00 1.1 91089.484375 0 \n", + "2015-11-21 09:00:00-07:00 2.0 91085.210938 0 \n", + "2015-11-21 12:00:00-07:00 4.5 91075.539062 0 \n", + "\n", + " low_clouds mid_clouds high_clouds \\\n", + "2015-11-21 00:00:00-07:00 0 0 0 \n", + "2015-11-21 03:00:00-07:00 0 0 0 \n", + "2015-11-21 06:00:00-07:00 0 0 0 \n", + "2015-11-21 09:00:00-07:00 0 0 0 \n", + "2015-11-21 12:00:00-07:00 0 0 0 \n", + "\n", + " boundary_clouds convect_clouds \\\n", + "2015-11-21 00:00:00-07:00 0 0 \n", + "2015-11-21 03:00:00-07:00 0 0 \n", + "2015-11-21 06:00:00-07:00 0 0 \n", + "2015-11-21 09:00:00-07:00 0 0 \n", + "2015-11-21 12:00:00-07:00 0 0 \n", + "\n", + " downward_shortwave_radflux \\\n", + "2015-11-21 00:00:00-07:00 NaN \n", + "2015-11-21 03:00:00-07:00 NaN \n", + "2015-11-21 06:00:00-07:00 NaN \n", + "2015-11-21 09:00:00-07:00 NaN \n", + "2015-11-21 12:00:00-07:00 NaN \n", + "\n", + " downward_shortwave_radflux_avg dni \\\n", + "2015-11-21 00:00:00-07:00 NaN NaN \n", + "2015-11-21 03:00:00-07:00 NaN NaN \n", + "2015-11-21 06:00:00-07:00 NaN NaN \n", + "2015-11-21 09:00:00-07:00 NaN 106.823313 \n", + "2015-11-21 12:00:00-07:00 NaN 307.189787 \n", + "\n", + " dhi ghi \n", + "2015-11-21 00:00:00-07:00 NaN NaN \n", + "2015-11-21 03:00:00-07:00 NaN NaN \n", + "2015-11-21 06:00:00-07:00 NaN NaN \n", + "2015-11-21 09:00:00-07:00 135.019364 173.170670 \n", + "2015-11-21 12:00:00-07:00 194.811046 383.033312 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "forecast_data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is a ``pandas DataFrame`` object. It has a lot of great properties that are beyond the scope of our tutorials." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "temperature = forecast_data['temperature_iso']\n", + "wnd_spd = forecast_data['wind_speed']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot the GHI data" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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pYliYNe30BEs+q3BjpmDeZsowGzOBRhBfrlqYEXpVdCq/HIXnhJ7xp1mXa6jb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\nvRZcLhcAsABXsSHPhIdX6Ya/LvT7/YiLi0NzczPMZjO0Wm2fXqZ9+/b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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ghi = forecast_data['ghi']\n", + "ghi.plot()\n", + "plt.ylabel('Irradiance ($W/m^{-2}$)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculate modeling intermediates" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Before we can calculate power for all times in the TMY file, we will need to calculate:\n", + "* solar position \n", + "* extra terrestrial radiation\n", + "* airmass\n", + "* angle of incidence\n", + "* POA sky and ground diffuse radiation\n", + "* cell and module temperatures" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Solar position" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calculate the solar position for all times in the TMY file. \n", + "\n", + "The default solar position algorithm is based on Reda and Andreas (2004). Our implementation is pretty fast, but you can make it even faster if you install [``numba``](http://numba.pydata.org/#installing) and use add ``method='nrel_numba'`` to the function call below." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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LMvfff3+zRZluJJHz5Bdaag3tTV3emUiF8CWKomDKykIdH482Na3F90uGWBH+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3cE5FhfWboKUe6j15XEhc7mgBxzPjQOdNM4FKfcbIu0f7M1JaeQuGPnrF04psNqMrMu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\n8nyVmc235Ks6jkBjjjKS7bXK26fxavgXJ8JLDuTP7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MgDzIkkA/VJBp5BclCf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\nhAshhBBCCOFmMgkXQgghhBDCzf4fNXuN7fJE0PkAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "solpos = pvlib.solarposition.get_solarposition(fm.time, sand_point)\n", + "\n", + "solpos.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The funny looking jump in the azimuth is just due to the coarse time sampling in the TMY file." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### DNI ET\n", + "\n", + "Calculate extra terrestrial radiation. This is needed for many plane of array diffuse irradiance models." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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69tlnJUmpqak6deqUUlNTNWvWLE2ePFlOp1NjxoxRq1at3PVUAMAUu7OLJEkT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\nd1xcnN544w1J0siRI133Dxk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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#start = datetime.utcnow() # today's date\n", + "#end = start + timedelta(days=365) # 365 days from today\n", + "#time = pd.date_range(start,end,freq='H',tz='US/Arizona')\n", + "\n", + "dni_extra = pvlib.irradiance.extraradiation(fm.time)\n", + "dni_extra = pd.Series(dni_extra, index=fm.time)\n", + "\n", + "dni_extra.plot()\n", + "plt.ylabel('Extra terrestrial radiation ($W/m^{-2}$)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Airmass\n", + "\n", + "Calculate airmass. Lots of model options here, see the ``atmosphere`` module tutorial for more details." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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NXu/eUxAyDz2upeRnVXkOAMAygHrDx86Xh2JtJNu9rwgAqJbiX1eiqT4HpULz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\nEWcP50A+zoEaOA/ycQ7UwHmQj3OQLcqVo/i+j3w+jxNOOAF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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "airmass = pvlib.atmosphere.relativeairmass(solpos['apparent_zenith'])\n", + "\n", + "airmass.plot()\n", + "plt.ylabel('Airmass')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The funny appearance is due to aliasing and setting invalid numbers equal to ``NaN``. Replot just a day or two and you'll see that the numbers are right." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### POA sky diffuse" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Use the Hay Davies model to calculate the plane of array diffuse sky radiation. See the ``irradiance`` module tutorial for comparisons of different models." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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RmKsiANX615CiINHg5DnWnonXTF0+IPcddxDM3R2FA3u6IT/HjRBQrQs3K5Yb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\nDsfwiqIoGOpP8r+/xJxBPf2ZxjLhQG1oD/uFNy7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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "poa_sky_diffuse = pvlib.irradiance.haydavies(surface_tilt, surface_azimuth,\n", + " forecast_data['dhi'], forecast_data['dni'], dni_extra,\n", + " solpos['apparent_zenith'], solpos['azimuth'])\n", + "poa_sky_diffuse.plot()\n", + "plt.ylabel('Irradiance ($W/m^{-2}$)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### POA ground diffuse\n", + "\n", + "Calculate ground diffuse. We specified the albedo above. You could have also provided a string to the ``surface_type`` keyword argument." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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FKI9gJjwcRt1CNp2ApmldfX47E879IVKR1CD8oYcewlFHHYXbbrsNf/3Xf42PfOQjMpdD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\nSD5vUM+Q7gGDcMlYi6yGctViXT4teq7rwqhZrAc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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "poa_ground_diffuse = pvlib.irradiance.grounddiffuse(surface_tilt, ghi, albedo=albedo)\n", + "\n", + "poa_ground_diffuse.plot()\n", + "plt.ylabel('Irradiance ($W/m^{-2}$)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### AOI\n", + "\n", + "Calculate AOI" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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IL7Ko1rlVrU4AEAm4EA1Q2265uViVIBGxXCTtR/IxNZcHj4vvR3QhVYaJRA5WC4Mtq3jm\nIgEX+oK0H8nNWkYBQCgXyfE8zszQfiQXJMIpLlx2JuM5uJ02DITcq/77lkEfnHYrzYGMrFaRYyW7\nRoIolgUrISE9PM9jIp5rdgdcDRKA8jOxRkgQsLQfOaw0BzJSb3CYmitgU78XdtuFnjlAiEkuluuY\nWaD9SC46inCKC5cdEuFi50xyPcoCW65hLl1aVoN0JVbLUnm2RSrPJheTTW/E6sIDaHkkqF64PKzs\nDrgaO8XQLBKAstHsDniRebBaLBjbFEQ8ySJH5WtlYWahiHqDu+gcAO1x4VQvXC4mOoSK7twUhIWh\nuHA5Mb0I97ntGO7zYnwmR+WQZGCyQyiKiLjhUnk2eZiI52CzMtjcf6HrV2Q3hQXJynouQj63HZv7\nvTg7m6NykTIhdgfsW+oOuBrkkZCXThZYQGidDtAcyAXP85iM5zEQdsPrsq/6GrfThtGYDxOzOVRq\nlKciB6YX4YAQklKpNXB+nsohSU2nGFiRMUrOlI1ancP5+QJGBlrdAVeDykXKS9PqtEpJtnZ2jYSE\ntt0JKhcpNat1B1wNEuHy0loLFz8X+oMuhP1OnDqfAU9x4ZIzny6BrdQ7Gsh2j4TR4HicpbhwWSAR\njra4cCrPJjmdKqOI7BgW3F4UFiQ90wtCd8BO4q+9XORiltp2S816L6QkAOVDDEVZKyQIECy0NquF\n5kAmJhN5OGwWbOr3XvQ1DMNg90gIObaGRIpVcHTmoOmN6LQfiXHhtBZkgUQ4KC5cTibiefg9dkQD\nF3f9AmJ5Nh8m43lUye0lKesVfwDVC5cLoTtgDrHI8u6AqyHuRyQApafVmGTttWC3WbBjOIDz8wWw\nZcpTkZJKrYGZhSK2DPphtawtQaheuHxMXKSD8kp2bQ6CAc2BXJAIB9AXdCHkc+D0dJbcXhKSY6tI\n5srYGgus6foVGVsqz3Z2NqfA6MzDeuIvRcaoRrIszKVYlCqNjuIPAMJ+JwZCbpyezoLjaD+Sksl1\nhgQBggDkQZWzpOb8XAEcz3f0jgKt6hx0IZWeiUQODAOMDq49Dx6XHSODPozP5lCrk4FMakiEo+WG\nzxarWMiQG14qzm3AAgu0rB7kkZCWybjg+h3q83R8LZVnk4emN2IdFyFAWAulSh3TC5SnIiUT8RxC\nPgfCfmfH1+4iASgLGzEKxCIeBDx2nKS4cEkRm7dt6vPC6Vi9RGQ7u0fCqDc4MpDJAInwJZqJgeSG\nl4zJDWy2QFt5NrI8SUal1sDsYhFbYp1dv4BQnm3ncADxJIs8S+XZpKIVf7m+tTA2QqUKpSadryBT\nqK5/P1pq201zIC0THUpEtsMwDHaNhJDOV7CQLcs9NNMwu9S8bb1Ggd0UFy4bJMKXoLhw6RFjzkbX\naQkPeBwYinpwZiZL5SIloun6XeccAG0dTOkyJBmT8TwsDIORVboDrsZuqtkuOetNyhQR8lT8mEzk\nUamSG14qJuJ5uJ1WDIRXb962EqoXLj2iUWD7BjxzAMWFywGJ8CVGBnxwOahro5RMJtbv+hUZ2xxE\npdrA9Dx1SZOCjbh+RXZRYqCkNDgOU3N5bOr3wmnv7PoFgP6QG0Gfg8qzSch6kzLb2TUi5KmMz9K5\nIAVsuYa5FIutsQAs68gTAqheuBxs1Est9i8Yn8lS/wKJIRG+hMXCYOemIBIpFjlyw/fMRl2/Is3K\nEOSRkISm9W8DlvDtwwFYLVQuUiqart8NzEGzPFuxivk05alIwUaSMkXIAigtrdyI9a+FTf1eeF02\nmgMJmYjnYbOuXSJyJbtHwkL/gjj1L5ASEuFtiHHh1LWxd7oRf0BbKARZPSRBdP0ORjonZYo47FZs\nHfLjXKKAcrUu4+jMQTfeCKB1IaU4zN7heR4T8Rz6Qy743Kt3B1yNsaXybGSFlYaN5kYAgGWpcMJi\ntoxUjuLCe6VWb2B6oYAtg2s3b1tJKy6cwoKkhER4GxQXLh2T66xBupL+pXKRp6hcZM+UKnUkUixG\nB/3rdv2K7NocAsfzGJ+hbPheabWr39ha2E0XUslYyJZRLHfuDrgSr8uOzQNieTZyw/fKZLy7tdD0\nSNBa6JmpeaF520YuQgB5heSCRHgb25pueLKE98pGGsS0I2bD54pVzFO5yJ4416X4A9rqhdOh1zMT\n8RxsVmZDrl8AGBbd8DQHPdNNKIrIrpEQ6g2uacUlumcikUPAY0cksP48IYDqhUtJy0C2sbM54BUK\nJ5ymwgmSQiK8DaddyIY/l8ijQl0bu0Z0/fYFXfB7HBv+eeoYKA0TG6wG0Y7ohievUG/U6hym5wsY\nGfBvyPULkBteSia7SMoU2U0XUknIFqtI5SrYOrS+5m3tbBkUCieQFbZ3ug2PA4Qk2Uq1gXMJ6l8g\nFSTCVzC2OYgGx2OCitJ3TTJXRqFU27AVXESMzSePRG80hUcX8+B12bGp34vx2Rxlw/fA9ILg+t2o\n1UlkF3UwlYSJeA4MgC0dugOuBnmFpKEX8We1WLBzs1A4IVukwgm9MBHPweWwIhZdf56QyO4RiguX\nGhLhK6C48N7pNh5cZHO/D26nlWJhe2QinoPPbUc06Orq58dGQqjVuWZoEbFxuklEa6fVtIcupN3C\ncTwm5/IY6vPC7bRt+OeDXgdiEXLD90qrLF53F1LySPROqVJHIslia2zjeUJAW3ImeSQkQ/Mi/KWX\nXsItt9yy7Hs//OEPceDAgebXR48exfXXX48bbrgBx44d6+l51LWxd5qJaF1awoVykSHMpUtk9eiS\nQqmGxWwZW4f8G3b9ioj1wuky1D29hEEAwOigHw67heagBxIpFpVqo+v9CBA8EpVqA1Nz5IbvllZ5\nwu4upLtHluqFkwDsmslEHjy6n4OQz4nBsBunpzPgOCqcIAWaFuGPPPII7r77btRqteb3Xn31VTz2\n2GPNrxcWFnD48GEcOXIEjz76KB566CFUq90Lt4BHsHpQ18buEa1/6+2UuRrNkBQSH13RSyKayC6y\nPPXMRCIHp92KoejGkjJFbFYLdgwHMbNYRKFU6/wDxAWI+1G3wgMgK2yviHlC0YALgS7yhAAhkdBh\ns1AoRA9stEnPauzeEkKp0sD5ebqQSoGmRfjo6CgefvjhZqm6dDqNQ4cO4ZOf/GTze8ePH8eVV14J\nu90On8+H0dFRnDx5sqfn7hqhro3dwvM8JhN5DIbd8LjWX493JRQL2xsTid4ssAAQ9jvRF3ThzEwW\nHJWL3DCVagOzi0WMDvpgsXTnjQCoVGGvdFsNoh26kPZGMldGnq31tB/ZrBbs2BTE9AJdSLulFR7X\n/TyIHomTU3QZkgJNi/DrrrsOVqvQ5pnjOHzqU5/CXXfdBY+nlVBQKBTg97c+UF6vF4VCbzc0igvv\nnvlMCaXKxuvxrmTbkB82K5WL7BYpLOGAID6K5TpmF+hCulHOzeXB871ZYIFWYiCVKuyOiUQOVguD\nLQO+rt8jGnShL+jCqfMZupB2Qbf1wVeyiy6kPTERz/eUJwS0N+2hOZCCjWepqMTLL7+Mqakp3Hvv\nvahWqzhz5gy+8IUvYO/evSgWWwKhWCwiEOi80Pv7L34T3LvHgkd/dAJTC8U1X0dcyKtLCWSX7+zv\n+Lfr9O9jI2GcPJeC1+/qyapuRqbmC4gEXNi1va/ja9eahysvjeGXLycwmynj/7l8SMohGp5fvDoP\nANiza6CnteAPumE7+ltMJPK0H22QWp3D+fkCtg4HMDwUWvO1nf62e8b68cz/nke5AYz2YNE1I3PP\nTwEAXn/pYE9rYe/rhvH9n0/gfJLFdbQWNkS2UEEyV8YbLhnAwMDaGmmtOejv92NwKWQ3Gu3Ny0fo\nSITv2bMH//7v/w4AmJmZwcGDB/GJT3wCCwsLOHToEKrVKiqVCsbHxzE2Ntbx/RYWLl7xwcrzCHod\neHl8EfPzua4T28zI8VOC8Oj3O9b8G/f3+9f8d0BwmZ2YTOGF47O4fFtE0nEamUyhgmS2jNfv7Ov4\nN+40D8NhwWLymxMJvHFXZ0FPtHj5zAIAIOqz97wWRmN+jE9ncX4mDZdDN9u26pxL5FGrcxjp8/Y8\nB1uWmi39z/EZeGx0JmyEV8YXwQAIuWw9zUPEY4PNyuDFk/Md54tYzvHxRQDApqin57Wwc1MAv/hd\nAr89kcBIDx4ms7DWpUbT4SgiK0Uwz/PN7/X39+PWW2/FTTfdhNtuuw0HDx6Ew9Fd4kf788Y2B5Ep\nVLGYpSYZG2EykQfDCM0VekVMzqQ4zI0hRQysyGDYjYDHjtPT2WYeBrE+JuM5eJw2DITcPb/XrpEQ\nOJ7H+Az1L9gIvTSsWgklZ3YHx/M4N5dHLOrpqkRkOw67FduGApiay6NUqUs0QnMw0WPp4HYoLlw6\nNC/CN2/ejCNHjqz5vf379+N73/seHn/8cfzhH/6hJM+luPCNw3E8ziXyGI56JbHW7aSujV3RS1OM\nlTAMg7GRENL5Cl1INwBbrmEuXeqpRGQ7YrlIisPcGK3ciN4vpANhN4JeB06ez9CFdAPMpViUKg1J\n5gAQLqQ8T83cNoqU5wLFhUuH5kW4WohNMmihr594ikWlJt1mK3ZtPEtdGzdEsx6vVIfeZrIAbpRm\nrXwJDjxA8AoxoIS0jTIRz8Nhs2BTf3clItthGAa7RkLIFqqYz5QkGJ05kKJEZDuiAKT9aP3wPI/J\neA7RgBNBb2+RAgDQF3QhEnDiFF1Ie4ZE+EUYGfDBabfSQt8AkxJvtoBQGaJa53COujauC7Eeb1/Q\nBX+X9XhX0qxIQB6JdTMhoQUWADwuO0YGfBifzaFWpwvpeqjUGphZKGLLoB9WizRHXbNUITWMWTcT\nElVGEdkxHISFYahe+AZI5SrIsTXJzmaGYbB7JIQ8W8NskpXkPc0KifCLYLVYsGNTAPEkizxLXRvX\nQ6sjmnRZ682mPeSRWBfJXBmFUk0y8QcIF1KXw0qt0zeAVCXZ2hkbCaHe4DCZoLjw9XB+vgCO5yVd\nCxQXvnEm472XiGzH7bRhNObHZDyPSq0hyXsaHSlDUUR2bxE7mNJlqBdIhK+BGBd+ZobEx3oQN9uR\nfumypSkUYmPIIf4sFgY7NwWRSLHIFulCuh4mEzkEvA6E/U7J3pME4MaQQ3gM93vhddkoFnad1Bsc\npuYL2NTnhcNulex9d4+E0OB4jNPZvC7EBOVemvSsZDf1L5AEEuFrsIussOtGrs02EnBR18YN0KwG\nIeFmC7QaxlBMcmdyxSqSuQq2xqRJyhShpj0boxUeJ91asDAMxjaHsJgtI5WjROVOzCwUUatzkoYo\nAsAuigvfEKJxZrTH5m3tDITdCPocODlFceG9QCJ8DbYvxZ6dIRHekdlFeTZbQAhJKZRqSFDsWUfk\n2GwBupBuBDkssAAQ9DqEJhnTdCFdDxPxPNxOKwYjns4v3gDNuHDKkehI0wIrcXOjXUuJyiTCO8Px\nPCYTOcQiHnhc0vUYEOPCs8Uq5tOUqNwtJMLXwOmwYjDixsxikW56HZAjHlxky6DwnrOL1Dp9LYTN\nNo9BiTdboH0OCpK+rxGRujpNO6ODPpSrDbLCdqBUqSORYrE1FoBF4mZro0vzOrNA+1En5AiPA4RE\n5f6wcDYTayOWiJT6IgS0rQWah64hEd6BoagXpUodObam9lA0jej63SaxBRYAhqKCJSuepIW+Fgvp\nEkqVuiybrdtpQ9jvRCJF3ohOyGUJB4T9CADNQwfkvAiJ+xF55jozGc/BbrNguK/3EpEriUU8yLM1\nFEp0Nq/FpIRNelYyFBHmlc7m7iER3oFYRNxw6UO2FhOJPGxWaerxrqQ5ByQ81qRVFk/6zRYQ5iGZ\nq6BSpYoEF6O9Hm9Agnq8KxHXQpwE4JpMyngRCnodcDuttB91oFprYHqhiC2DPtis0ksNugytD3mN\nAjQHvUIivAPNQ4823ItSq3OYni9gZECezbYv6IbNypDw6ECrQYz01j8AiEXpMtSJdH6pHq9MFyE6\n9NbHhAxJmSIMwyAW8WAuzaLBUc32izG1VCJSDu8o0PIKkRV2bSYkLhHZTl/IBauFIX3UAyTCO0CH\nXmemFwpocLwsBx4glMgbjHiQSLEUm78GE/EcGAbYMiCTCCePREfkFH8AmkmGNAdrMxHPw++xIxpw\nyfL+sYgymI6MAAAgAElEQVQX9QaPxSzF5l8MOS2wABnI1oNcVctErBYLBiMexJN0NncLifAOkPWv\nM3LGg4vEIh6Uqw1kClSnejU4jse5uTw29XnhdEi/2QIUm78epO4OuBKn3YpowElzsAY5topkroyt\nsYCkJSLbaa0FOhcuhhwlItshA1ln5CoR2c5QxCPkzVEPia4gEd4Br8uOgMdOh94aTMhYGUVkiC5D\nazKbLKJa42QLgwBaSTg0BxdnUqY67e3Eol5kClWUKnXZnqFnWhU5ZJyDCAnATshVIlLE73HA67KR\nJXwN5CoR2Q4ZKntDMRH+2muv4ac//SmefvppnDp1SqnHSkIs4sFitoxanRLSVmMynofDbmkKZTmg\nBNm1UUJ4hANOOGwWEh4XQUjKzGMw7IbHZZftOUMUkrImLQusjBfSpvCg/Wg12LJ8JSLbGYp6sZAu\nod6g2PzVkDNBWYSSxXtD2mLCK+A4DkeOHME3v/lNeL1eDA8Pw2azYXp6Gvl8HrfddhsOHDgAi0Xb\nBvlY1ItT01nMpUvYLGFLdiPQ4DjEk0VsGfTDKuM8NpNwSHisyvSCUL9brOctB5alhLREigXH87Ie\nrnokmS2DrdRxxfaIrM+Jtbnh5Txc9cq5uaULqYzeiIGwBwxDwuNiiHMgp3cUENbCmZks5tMlWcog\n6p2JeF62EpEirQRZWgursZgpob//4utAVhF+55134k1vehO+853vIBQKLfu3XC6HJ554An/1V3+F\nr371q3IOo2faXY8kwpezmC2jwfHNv5FckPt3bcQNUE5vBCAcelPzBaRzFUSD8iS96RXxgjgclVcM\nDDUT0sgKuxqzSRY+tx1Bn1O2Z9htFvSH3OSNuAhiY7URmc/L9th8EuHLaXAcZhflKxEpEqP9aE2e\n/vU0Lh0buOi/yyrC77//fni9qy+MQCCA2267DX/6p38q5xAkgeKRL45S4s/ttCHoc9AcXIREqoiA\nxy5rGASwfMMlEb4ccS3EZL8ILcXm04X0AuoNDgvpErYPy+8hiEU8OD6eRKFUg88t77rTGwmF1kIr\nT6UIoF/WZ+mNloFM3suJx7V0NtN+tCqdPASyinBRgD/xxBNgGKZZwoZhGLhcLmzfvh27du2ScwiS\nEKNM+IvS3GxltoQDggXw5FQG1VpDlnJLeqVWb2AxU8bYSKjzi3ukPRTiim1R2Z+nJ8QLotxrIeRz\nwOmwUmjWKixkSuB4XnbxBwiGh+PjSSSSLHZuDsr+PD0hWkVl95BShZSLopSBDGidzZVaA046m5fR\nqaiHrCJc5JlnnsGrr76Kt7zlLeB5Hs8++ywGBgbAsiz++I//GO95z3uUGEbX9AWFgvRkhb2QpvBQ\nYKHHol68NpXBXLqEERkaD+iVuXQJPJS6CFFs/sVIJItgANmqQYgwDIOhiAfTC0VwHA+LhWLzRZrC\nQ4m10NYshkT4chIpFmG/Ey6HvBJDPJtpP7qQhJIiXDybU6yseUl6o1ZvINmhl4AiGZELCwt44okn\n8IlPfAKf/OQn8dhjjzWTNh9//HElhtATYkH6RKpIBelXkEgWwTDAYNgt+7NaWdgUe9aOkpstxeZf\nnHiKRSTgUsQSFIt6UG9wWMxRs5h2FDUKUJWaValUG0jlKooYBWxWCwbCbmoWswoJhbwR7c+gtbCc\nuZRgIFsLRUR4Op2Gx9P6IDidTmSzWdjtds1XRhGJRTwoVRpUkH4FiRSLvqALdpv8woNi81cnrlAY\nBAA4HVZEAk6agxWUKnVkC1VFLkJAW5lCupAuQ7ygKyI8KExxVcS9QbG1EPUKzWLYmiLP0wvxJAuG\nESr5yA01Tlqd9XhoFAlHue6663DbbbfhbW97GxqNBp566im85S1vwZNPPon+fn0kU7RnYcuZda8n\niuUacmwNr5OxQUw7ZIVdHaWSoESGIh68MplGqVKH26nIFqJ5lIoHF2kvC7ZnhyKP1AWJJAurhUF/\nSH7PnN9tp2Yxq6BUPLhISwAWEfQ6FHmmHkikWPSH3LDb5Dd0Ni+ktBaWsR4jiSJm6A9/+MN473vf\ni4mJCczMzOB973sfPvjBD2Lr1q146KGHlBhCz5C75UKUDIMAgGjABbvNQpanFSRSRdisDPoUqlYi\nZtvPpWkeRJReC7QfXQjP803hIWdJNhGGYahZzCq01oIyJQOpWcyFFEo15NmaYhehSMAFh81CoaIr\nWM+lRLFYkEAggO3bt+PgwYPN0JTXv/71CAb1kdBCrscLUdr6Z7EwGAwLtXkp/k9AFB4DYY+szZLa\nobVwIUpb/wYjbjCgOWgnz9ZQLNcVuwgBwnxzPI+FTEmxZ2odpc8F2o8uRGmjwMpGboRAPMl2NAgo\ncmp/4xvfwJe//GV885vfBMuyuOeee/C1r31NiUdLBrWKvhClN1tAqJBSqTWQzlcUe6aWyRWrKFUa\nilSDEKH4vwtphQQpY/2z26zoC7koJrwNNfajIRKAFxBPsnDYLQgHlAnbpOZVF6K0UQAQLkPVGod0\njs5moGUgi0XWDo1TRIQ/8cQTePTRR+F2uxEOh/G9730Pjz32mBKPlgyPy46A19HMOCaUrUMqQm74\n5SjVIKadVsMemgOReIqF02FFyKdcTGos4kWOraFYpoQ0oC0pU8m10BThdC4AAMfzmEuxiEU8sDDK\nlM70uOwIeqlZTDtKhwS1P4suQwKZQhWVaqPjRUgREW61WuFwtA4nl8sFm01/CV2xiAeLmTJq9Yba\nQ9EEiRQLt9OKgILJMGR5Wo4a1r+w3wmn3UpW2CU4jsdcqoRYxANGIeEBkEdiJc2qHDJ3CGxHFB5k\nFBBI5cqo1jlF9yNA2P+S2TKqNTqbAWVLdYpQbP5yWkaBtfcjRUT4VVddhfvvvx8sy+Lpp5/G7bff\njr179yrxaEmJRTzgITRHMTsNjsN8mlVPeNChB0AdSzizFP83ly6B4yj+bzFXRr3BKeoRAigWdiVq\nrIVmIzeaAwDt5QmVuwgJz6OzuZ14koXXZYPfbVfsmXQ2L2e9pToVEeEf+9jHMDo6iksuuQRPPvkk\nrrnmGtx1111KPFpSyPLUYjFbRr3BNytlKMVgmOojt9Oy/ikrAIeiHtTqHJLULKYVD670HFBo1jIS\nKRY+tx0+BYUHNYtZTlyltRBr615qduoNDguZEmJRZQ1kYqdg0kcC610LssaEzM7ONv//6quvxtVX\nX938en5+HsPDw3I+XnIoFraF0rWpRdxOG8J+ahYjkkgVEfA64HEpJzyA5bH5StRk1jJqWf9IeLSo\n1QXhsXOT8tW2YhEP4kkWObZm+jrVSjfqESEDWYuFTAkNjlc0LAsAnHYrogEX7UdLJNbZOExWEX7z\nzTcDAKrVKhYXFzEyMgKr1YqpqSmMjIzgpz/9acf3eOmll/Dggw/i8OHDOHHiBO677z5YLBY4HA58\n8YtfRDQaxdGjR/Gd73wHNpsNt99+O/7P//k/svw+7U0BzI5aFlhA+FCfOJdGpdqA0yF/p06tUqs3\nsJgpY2wkpPiz20MhXrc9qvjztcR6N1upCXjs8DhtdCEFMJ8pgeeVnwNgaS2cpmYxQEsEDyrQpbEd\n8gq1UMtABgga6eWJFDVyg/BZDPudHf8OsoajPPPMM3jmmWdw1VVX4dvf/jb+8z//E//xH/+BI0eO\nYPfu3R1//pFHHsHdd9+NWk3I/v/85z+Pe+65B4cPH8Z1112HRx55BIuLizh8+DCOHDmCRx99FA89\n9BCqVXlay/cF3bBZGVroUCf+UkR8ptmbxcylS+ChjvBoJqTRhRSJFAsGwGBYWY8AwzCIRT2Yp2Yx\nzc+h0t4IoJUISh5SYS1EA07FjSORIDVyE4mraSCjuHAAQKXaQDJXWdfZrEhM+JkzZ/D7v//7za/3\n7NmDs2fPdvy50dFRPPzww81Yuy996Uu45JJLAAD1eh1OpxPHjx/HlVdeCbvdDp/Ph9HRUZw8eVKW\n30NoFuOh+D+oJzwAysIWUbohQzuDYaFZjNk3W0D4HEaDLjjsyntlhiIeNDgei1lzx+arUSVIhEIh\nBEqVOtL5imK18tuxMEtnc6po+mYx6lrCKUQO2Fh1GkVEeCwWw5e//GWcPn0ar732Gr74xS9i27Zt\nHX/uuuuug9XaOtj6+/sBAL/5zW/wL//yL3j3u9+NQqEAv9/ffI3X60WhUJD+l1giFvGgXG0gW5TH\n2q4XEilBeNhtKggPum0DaFk81BAeDrsV0aDL9BchtlxHtlhV5cAD2ixPJp8HNXoWiJD1T0DNixAg\nzH21xiFj8kZu8VQRVgujSq4OGcgENhKuq0jQzgMPPICvfOUrOHjwIADgzW9+M77whS909V4//vGP\n8dWvfhX/9E//hHA4DJ/Ph2KxdesqFosIBAId36e/39/xNauxfSSEX59aQLnR/XvonUKphlyxijdc\nMtDT36Dbn7186WKWLlRNOwcAkFm6CF4+NoD+vu6tT93+DbfEAvjNyXl4fC54FaxIoSVOTaUBANs3\nhVRZC7u3RYFnzyJfqZt6LSRzFdisDC7d2Q9rhzbRF6Pbv18/gJDPiflMydRz8MpUBgAwNhpRZS3s\nGAnjV6/Ng63z2G3SeeD5pZ4FUS+GYt0nKXc7B1ancA6kTH4258ozAIDd2/s6/h1kFeHz8/MYGBhA\nKBTCpz/96TVfsx6+//3v4+jRozh8+DCCQeEDtmfPHhw6dAjVahWVSgXj4+MYGxvr+F4LC/n1/yJt\nBFzCn+zE2UXEgsq05dUa47NZAEDE5+z679jf7+/6Z3meh8NmwWQ82/V7GIHJ2SxsVgaWRkOVeYj4\nhSS0l0/NY/tw54uvETkxvgAACHrsqsyBxyYIztNTadOuBZ7nMTWXR3/IjVSX3fp6mQMAGAi7cfp8\nBrPxjCreQS1wcjIFAPA5LKqshYBb+LufnEhic4dW4UYlx1ZRKNWwc1NQtbPZ7bRiKp4z7X4EAOPn\nBeOMx8pgYSG/phCXVYR/6UtfwuDgIN7xjndcEH4yPj6O733ve1hYWMCDDz645vswDAOO4/D5z38e\nw8PDuOOOOwAAe/fuxR133IFbb70VN910EziOw8GDB5d155Qacv+qG3MGLMX/RTxIpFhwPK9Ye2Qt\nwfM8EikWA2EPLBZ1fv/2+D+zinC16iKLDITdsDDmThbPsTWUKnVcskX5KkEiQ1EPTp3PYC5VwuYB\nn2rjUBO1SnWKNBNkTRyPrGaeECA2cvPi/HweDY6D1aJIxLPmSCRZOOwWhAOdDbWyivD7778fP/vZ\nz3DPPfdgcnISAwMDsFqtSCQS2LJlC9773vdi3759a77H5s2bceTIEQDA888/v+pr9u/fj/3790s+\n/tUYatYKN/FCVzH7WmQo6sH5+QIy+QoiAZdq41CLbLGKUqWBy0bVm4MYlQVTPQ7WZrWgP+QyuVFA\nvcooIu0l8kwrwpNFOB1WhHzqlGkcXLJ+mzkeWY129SsZinowEc9hMVtWvFSlFuCWDGSxiGddBkLZ\nY8KvvfZaXHvttchkMpiamoLFYsHmzZsRCqlntegFj8uOgNdh8kNP/YXengBiRhGuhTmgqhDCoedS\nUXgAgvj87ZlF5Nkq/B7z1alWM0FZpFU335zGGY7jMZcuYbjPq2iXxnZcDhsiAXM3chM/f0o36mln\nqK2HhBlFeCpXRrXOrftsVsxXEAqFsGfPHlxxxRW6FeAiQxEPktkyqrWG2kNRBVF4qNmYwuwVCdS2\nwAJA0OuAy2E17Rxw3FISVETZ9tArMf1aUNkFD7R1LzXpHCRzZdTqnKreUUA4m9P5CkqVuqrjUAs1\n+3eIxCJiDwlzroXWfrS+i5A5A3Z6JBb1gAcwny6pPRTFESweLIai6goPs8f/aWGzZRgGQ1EP5tIs\nOM58tXkXc2XUG5yq4g+gsmBacMH3BVywWc3bLEYL+xHQEoBmbeSWSLHwue3wqVityuxeoY165kiE\nd0ErLtx8C30xW0K9watqgQVa8X+mtf5pIC4fEDaaeoPHYtZ8F1K12tWvxOxhQfFkEQGPHV6XesLD\nYmEwGHEjkTJnIze1kzJFYlHzXkhrdQ4LmZLqRoGBkJAsbkZ9BGzcM6eYCP/BD36AQ4cOgWVZPPnk\nk0o9VhZaFVLMd9NrWZ3U3WxdDhvCfqcpN1tgSXh4HfCoKDyANje8Cedho25HuTBzgmyt3sBitqz6\nfgQIF+JKtYFMwXyN3LR2ITXjfjSfZsHz6oZlAYDdZu5kcdEDMKglS/gDDzyAZ599Fk899RQajQYe\ne+yxrpv1aAEzx/81hYfKmy0gbDbpfAXlqrni/2r1BpLZsuoHHtDmFTLhhquFhEAA8Hsc8LntpnT/\nzqVL4Hn15wBov5Cabx4SKRYMgMGwuvW5xQuxqQ1kKiZligxFvSiUasizJryQplhEAy447evrF6CI\nCP/5z3+OBx54AE6nE36/H1//+tfx3HPPKfFoWRDj/8x409OK8ABaceFzKXOFQsylS+ChjTkwc1Jg\nIrkkPDTQGCQW9WAhI8SomwktJGWKDJl4LcSTLKJBFxzrFB5yEfI54DRpsrhW4vLbx2C2eShV6sgU\nqhuaA0VEuNW6fGFWq9ULvqcnLBYGg2Fzxv9pTXgA5qvZriXhMRh2g2HMaXmKpwThoYUOibGIBxzP\nmy5ZXEtGAbMmyLLlOrLFjQkPuRCaxXiQSJVMlyzeistXfx7M6iHtJldLERH+1re+FR/60IeQzWbx\njW98A+9617vwR3/0R0o8WjZiUQ/KJoz/S2hJeJg0IU1LwsNus6Iv6DKdxYMt15ErVlWPBxcxayys\nli6kzdh8k11ItVAutZ2hqAf1BofFXFntoShKPMnCamHQF1S/b0YrLIj2o07I3qwHAP78z/8czz33\nHIaHhxGPx/GBD3wA1157rRKPlo32ZKiwv3NrUiMgWjyu2B5ReygATHzbbnYI1Mqh58Xx8SQKpZqq\npbGURHPCQ6zNmyoC6Fd3MAqSSBVhszLoC6rvmXM7l5LFTXYhTaTU71jazlDbZWggpP7nQgl4nkci\nVcRgxKOJVvFmLVMoeuU3ci4oMltzc3P4n//5H3z84x/HzTffjB//+MdYXFxU4tGyMWTCCiktV4s2\nNtuQ3wmn3Xzxf4kUqxnhAZizOod4uGjBBQ+Y0yvEL7WHHgx7YLGo17OgnVjEg1SugkrVPI3c4hpK\n1gdalwEzGWdyxSpKlYZmjAJirXKzXUhbcfnr10iKiPCPfOQjGBkZAQAMDg7iqquuwsc+9jElHi0b\nYgaymT5kosVDK8LDwgi1eedSLDiTxOaLwmNAS8LDhAJQK3XaRfqCLlgt5qrNm9WY8ADMmZCW0FBC\nIGDOOYhrKCxLZCjqwUKmhFrdPMniYjfxkG/93cQVEeGZTAY33ngjAMDhcOCd73wnUqmUEo+WjVb8\nn/kWupYOvaGoF9U6h5RJ4v9E4aEV8Qe0N68ykVdIY8LDZrVgIOxGPGmeZHEtVYMQMeVaSLFwO60I\netcvPORkMOwGA3NZwrWUJyQyFPWA54H5jDmSxTmOx1yKRSyysW7iiohwl8uFZ599tvn1L3/5S3g8\n2vmwdIPHZUPQ6zDVbVtL2dciZrsMaU38AS3Xm1nmANCe8ACEtVCq1JFja2oPRRG0FpcPmC8hjeN4\nzKU3LjzkxG6zoi/kMleoqBbPhYi5araL3cQ3qo8UEeF/8zd/gy9+8YvYu3cv9u7di7/927/Fvffe\nq8SjZWUo6kEyW0a1Zo74P9HVoiXh0awKYZLLkBYtHgGPHR6nzTQXUi0KD8B8jUriSW0lBALmy48Q\nhYcWGsS0MxT1IsfWUCiZ40Iqel405SE1WcWmbruJK1Id5dJLL8WPfvQjpNNp2O12+Hw+JR4rO7GI\nB69NZTCXLmFkwBi/08UQXC0lbO73akp4kCVcfRiGwVDUg8lEHvUGB5tV/ex8OdGu8Ggderu3hFUe\njfxo0RIeDjjhsFtMIzy0GBIECJ+J4+NJJFIsdm4Kqj0c2UkkWQS9Dnhc2qlOZTYR3m2CsiIi/JVX\nXsE//uM/IpPJNOMVGYbBt771LSUeLxtNN3yKNbwIX8wJ3fi0FIoCAIMmszxpLSFQJBbxYHw2h8Vs\nWVOiSA60LDwAE62FpvBQ5BhbFxaxWUxSSBa3aMhgIQda3Y+G2pLFjS7Cq7UGktkydo2E1B7KMvqC\nbtisTLOgg9Hp9lxQZPf6+Mc/jgMHDmDnzp1NK6qWrKnd0uqQZvwPWUKDSZkA4LRbEQ04TTEHgPBZ\nC2jM4gEsrwurtc+I1GhVeMRMZHnSqvAAhD1yaq6AVK6smTKicqHFqhxA29lsAgE4ly6Bh/bmQOgs\n7mkmixtB861FIsWCYYTE4I2giAh3u924+eablXiUopipFFKiWRdZWy54QBjTKxMplCp1uJ3asYpJ\nTa0uCI8xTQqPllfI6LRi/7R16HlddgS8DlNcSLUqPIDlyZlGF+Gi8BgIa2sezJQgq8WwLJFY1IOZ\nxSIyharhmxomkkX0ddFNXJHgzT/4gz/At771LUxMTGB2drb5n97pC7hgs5oj/k+r1j/APG74uZSW\nhYd5rLDxZHcWDyWIRYRk8Vrd2MniWhYeZloLiWQR/UE37DZt5YH4PXZ4XTZTzEFcwwayIZMYKovl\nGnJsraskcUXMht///vcBAN/4xjeWff+ZZ55R4vGyYbEIzWISKeO7WxIpFgyAAQ0Kj/aFvm0ooPJo\n5EPLwmMg7IaFYQy/2QLCPHRj8VCCoagHp85nhCRqA+epaFl4tEIhjL0WROGxVYN7LsMwiEU9mIwb\nP1k8odGQIKDVXTuRLOLSUeMmi/cSrquICNe72F6LoYgHMwvGd7fEkyyiQRccdu0Jj1ZsvrEPPS2W\nJxSxWS3oD7kM7/5lyzXkilW8bntU7aGsylCbADSyCNdqSBDQlixu8LAgreYJicQiHozP5LCQKWmq\njKXUxFMsbFYLogGX2kO5ALPkqfSSrK9Yx8y7774bt9xyC1KpFD7xiU8gm80q8WjZabXsNu6GW6rU\nkS1WNXngAW3xfwa3PCWadZG1Ow+FUg15tqr2UGRDvAhpdQ7MsB8BwqFns1rQp0HhISSLuwxvCddq\nlSARM8SF8zyPRIpFLOKGxaI9T7xZvEK91GlXRITfc889uOKKK5DJZODz+TAwMICPfvSjSjxadkR3\ni5E/ZFoOgwCAkM8Bp8NqeOGRSLGwWRnNJnuZITZf89a/qPH3I1F4DGpUeADCJS1bqKJUqas9FNnQ\ncp4QsNwrZFQyhSoq1YYmw7IAwO20IeRzGP9sboYEbXweFBHh09PTOHDgAKxWKxwOBz70oQ8hHo8r\n8WjZibXVIzUqzc50Gt1smaXavHPpEjiOV3s4ssDzPOJJFoNhj2aFhxlcjwmNW8LNkCwuCg+t7keA\nOSpnabFjaTvtZVONSjM3QsNrYSjqRTJXQaVq3GTxRIqFx2mD37Px0sGKiHCbzYZ8Pt/8enJyElar\n9mKLu8EU1r8u27EqyVDUg1qdQzJXVnsospAtVlGuNjS92ZphLcQ1bglfmSxuRFrlUrU5B0CbFdbA\nArAX4aEE/SE3rBbG4AYybRsFAONfSOsNDvPpEoainq6Kcygiwt///vfjlltuQTwex+23344bb7wR\nd955pxKPlh2304agz2Foy5PWXfCA8QWgFtvVr2TIBF6hRIqF22lDwOtQeygXZSjiQaXaQKZgzNj8\nZlx+RLtGgWZYkEHXQq/CQwmEZHGDX0g1HioKtIcFGfNCupgto8HxXZ/NilRHufrqq3HFFVfg+PHj\naDQa+OxnP4u+vj4lHq0IQxEPTk5lUKk14NRg9ZBeiadYOB1WhHwaFh5th55WK1f0gpYro4j4PQ74\n3HbDWv8aHIf5NIuRAb9mhQcgCsAFJJJFQ1Zsogup+jSFh4b3I0CYh0SKRZ6tafri3C0JnYSjAMZd\nC72GZckqwh9++OFVv3/ixAkAwB133CHn4xUjFvXitakM5lIstgz61R6OpHAcL9Qc7vdqW3iQJVwT\nxCIenJ3NGbI272K2jHqD17TrF1iekHbp1ojKo5EePVxIg14HXA4r7UcqE4t6gNOCUDKiCI+nWIT9\nTk13ijZ6w55eIwVkPSVFF9Dx48fx1FNPwWKxwG6349ixYzhz5sy63uOll17CLbfcAgA4d+4cbrzx\nRrzrXe/Cvffe23z/o0eP4vrrr8cNN9yAY8eOyfK7rIWRBWAyV0a9wWl+sx0Mu8HAuKXZeimBpCSx\nqAccz2M+XVJ7KJKjh7AswPgJsokki6DPoWnhwTAMhqIezKVZNDhO7eFIjrgfxTQcEgQYu3pZpdpA\nKlfR/H4U8jvhsBs3WbzXsrWy7mLvf//7AQAHDhzAd77zHbjdQmm1d7/73U1hvRaPPPIIfvCDH8Dr\nFRbSF77wBRw8eBBXXXUVPvOZz+C//uu/8Hu/93s4fPgwHn/8cVQqFdx4441485vfDIdDuVuvkV2P\nWk9EE3HYrYgGjVubN5FkEfA64HFpMwlKZKjtQjrcp+0DeqPoIQkKMLZRoFJrIJkr45ItIbWH0pFY\nxIuJeB6L2TIGw9r+zGwULXdpbMfIZ7OWG1a1Y1mqXhZPsuB4HhYNe9S7IZFkYbUw6A91VzpYEX9x\nOp1e9nWtVltXs57R0VE8/PDDTYv3q6++iquuugqAEGf+y1/+Er/73e9w5ZVXwm63w+fzYXR0FCdP\nnpT+l1gDIx96rZJs2hdUsaXavGzZWLV5a/UGktmy5i9CgLHLgukhCQowdm3eOR1UahIZMrBHIp5i\nYWEYDIS12bNAxMiVObRep72doagXtTqHVNZ41cviySL6Qu6uwy8V8eft378f119/Pa655hpwHIdj\nx47h1ltv7fhz1113Haanp5tft2c4e71e5PN5FAoF+P3+Zd8vFArS/gIdiAZcsNuM6W7Ri/AAhDG+\nfDaFRIrF9uGA2sORjLlUCTy0b3UCDH4hTRbBMMCADqyaQ1EvTpxLo1JtwOkwTrK4noRHcy0kWWCn\nynjh2hAAACAASURBVIORmESSRX/Ipfm8D6/LjoDHmMnicR2U6hRpz1Pp69JirEXybBXFch1jm7v3\nzCkiwv/sz/4Me/fuxa9+9SswDIMvf/nLuOSSSzb8PhZLa8EXCgUEAgH4fD4Ui60FViwWEQh0FmD9\n/dImUG7q9yGRLKKvz6fpBMaNksxVwDDA5bsGJK/8IvUc7BqN4On/nUaxxkn+3mpyalaosb9zS1iW\n30vK9wxHvLBaGCzmKoaaAwCYz5QRi3gxPBSU/L2l/ltt3RTEiXNpVMFgs4HmIffiLABg9/ao5H8z\nqd/vsoZgNMqwNUOthVyxikKphsu2ST8HgPTzMBIL4NWJJIIhDxwGql6WLtYAAJePDaBfYsOA5Gfz\ntijw8wnkKw1DrYX5s0kAwI6RUNe/l6wi/JlnnsG+ffvwxBNPAADC4TAAoTrKa6+9hne84x0ber9L\nL70UL7zwAt74xjfiueeew5ve9Cbs2bMHhw4dQrVaRaVSwfj4OMbGxjq+18JCvuNrNkJf0IXJeA6n\nzi4iEnBJ+t5qMjWXQzTgQi4jrWWzv98v+Rx4lyx+pyaTeN2o9mNG18vJiUUAgN9plfxvJsc8DITd\nOJ/IY34+Z5gLabFcQ6ZQwZZBny7mILTUQOXVMwvwO7RtrdwI4+eF0EaPlZH0bybHHNh5HgwDTMxk\nJH9vNTkzLYSSRnwOXayFvoATPA+8cmoemwd8kr63mpybzcJhs4Cv1TW/Frx2YQ86M5U21Fp47axw\nNgdctjV/r7UEuqwi/OWXX8a+ffvw/PPPr3oYr1eEiz9711134Z577kGtVsOOHTvw1re+FQzD4NZb\nb8VNN90EjuNw8OBBRZMyRdrd8EYR4aVKHdlCFVds00eZM6OWQtJTSBCAZhKOkWrz6qUyisiQQWPz\nE0kWdpsFkaD291i7zYL+oNtw+5GewiCA5cniRhHhHM8jkWIRi3h0keho1OplrQTl7nNUZBXhH/jA\nBwAA999/P1555RVcfvnlyOVyeOWVV/CmN71pXe+xefNmHDlyBACwdetWHD58+ILX7N+/H/v375du\n4F3QvtAvM0htXr2Jv2ZtXoPF5idSLGxWBn1BfcTSGbE2r14qEYgYMTafXxIeg2F9CA9A+LwcH0+i\nUKrB59Z2ZaP1ooc67e0YMVk8lSujWtd+6WCRZvUyg53NUlxIFfFTPvjgg3jwwQcBAKVSCX//93+P\nr3zlK0o8WjGMWJtXL2WoRNpr83KcMdoU8zyPeHJJeFh0IjwMKACb5Ql1IjwiARccNouhLqTpfAWV\nWkM3wgMwZok8vZ0LYiUdI5Wv1ZuBDFiqXlasgi3X1B6KZMRTLHxue08XbEVE+M9+9jN87WtfAwAM\nDg7i61//Op566iklHq0YhhQeelzoEQ/qDR6LWWM0i8kWqyhXG7qaA9E1Z6gLqY5K4wGt2ryJlFCb\n1wjEdVQZRaS1FoxjhRWFh9+jDy9XX0Co4mKk/SguQRiE0hitcVKtzmExU+75MqqICG80GiiVWqKo\nWq0aJmFLxIi1eRNNV4t+Fro4VqNchprNknRidQIMeiFNFuFx2hDw6CekIBb1oFrnkM5V1B6KJOil\nVXo7RlsL9QaHxUxJV0YBi4VBLCLE5vMGuZDqzRsBGM8rNJ8pgeP5nudAkRKFBw4cwPXXX499+/aB\n53k899xzeNe73qXEoxUlFvHgtakMKrWG5OX81CCRYuF0WBHy6cPiAbTVI02y2LND5cFIgB7djoKV\nzG6YzbbBcZhPlzAa8+vKeBBr1uYtIqqDRMZO6FF4GC1McSFTQoPjdXURAoS1ML1QRKZQRdjvVHs4\nPSOeC3rqxGq05lVNI2WkNyOlIpbwd7/73XjggQfQ39+P4eFhPPjgg4YU4aJraM4AVg+O4zGXFiwe\nuhIeBquQokfrHyBchhayJdTqnNpD6ZnFTBkNjtdVGARgvLCgeEo49PQkPPxuO7wum2Fc8Amd5UaI\nxAwWFhRPFhENOHXViMtocyBVsr4iIrxWqyGZTCISicDv9+PkyZN48sknlXi0ohjJ9ZjMlVGrc7rb\nbAfDbjCM8YSH3uYhFvWA54H5tP7nIa6zyigiRtqPAOH3CPudcDsVceBKgpAs7sVipoR6Q/8XUr2u\nBSNZYUuVOjKFqq68owAQ8NjhcdoMsx/FJfLMKbKbffjDH0Y8HseOHTuWWVU32qxH6xhpoeutJJuI\n3WZFX9BlmIWeSLIIeB3wuPQTiwy0XHTxJItN/fquzau3GuEiy9qm65xKtYFUroJLR8NqD2XDxCIe\nnJnJYiFT0lUi3Wo0S7LpbC0YKR5Zb0niIgzDIBb14Fwij3qDg82q7yZi8SQLq4VBX4+hfoqI8FOn\nTuEnP/mJrsIausFIlie9Cg9AcMMfH0+CLdd0J17bqdYaSGbL2DWiv+6fzVhYI6yFlP4SlAHA6bAi\nGnAawv2rV6MAsNw4o3cRnkgJwqM/pI+eBSLt+RF6R4+5ESJDEQ/OzuawmC3rUluINHsWRDywWnq7\nTChyFdmxYwfm5+eVeJSqRIIu2A1Sm1eP5QlFWhuuvudhPl0CD30LDyOshUSSBcMAAzoTHoCwFjKF\nKkqVutpD6Qm9hmUBxmkWw/M8EkkW/SG37qyYLocNYb/TEF5qXZ/N4lpY1PdayBWFPVWK/UgRS3ip\nVMJb3/pW7Nq1q9lSnmEYfOtb31Li8YphYRgMhj3NUkh6tvwnkkUwAAZ1vNATSRY7hoMqj6Z79FgZ\nRaQv6ILNyjStyHomnhKEh92mL+EBCNb7VybTSKRYbBsKqD2crtFrgjLQSpDV+4U0X6qhWK7r0jMH\nCPvoiXNplKt1uBz6yStYiViVQ49elSGDlBCWsnSwIp/Ev/iLv7jge3oWqGsxFPVgeqGAdL6CSEC/\nZcESKRaRgEuXpRaHDBIWFG9utvoTHlaLxRAX0kKphjxb062AbfdI6PV3AFpreajHcmBq0Bd0wWph\ndL8f6fkiBAhr4cS5NOZSQrlRvRLXYelgEaPkzUlpIJPVtPPKK68AEAS3xWJp/scwjG4P5U4YIRSi\nmX2t0802ZpDSbHq2hAPCuEuVBrLFqtpD6Zqm+NPpWhgySCxsIsnCYbMgHNBfjWeb1YKBsBvxpL6b\nxeh9PzJC91KO4zGX0l/pYJH+kBtWC6P7/UjKjqWyWsL/7d/+Dffddx/+7u/+btV/P3z4sJyPV4V2\ny9PlWyMqj6Y7WlYnfW62YikkPW+2gLDQbVYGfUH9xSIDyxuVhHz6E0+AvhOUAWNcSLmlJKhYxAOL\nDoUHIHx+4kkWObaGoFd/Fkyg3TOnP28EYIzGSYu5MuoNTrdGAZvVgv6QG4mkvj2k4iVCinNBVhF+\n3333ATCm2L4YRoj/03MlAkCszevBZCKPBsf1nL2sBs3s67AHFos+N6rWhbSoy9JyQFtCoE6FR8jn\ngMth1XUoRDpXQbXO6XY/AoTPz4unF5FIFnUrwvV+IR0ygJda73MACOdCIsUiz9YQ0PFaCHod8Lh6\nl9D6UycaZzAiWC317G6JG2ChxyIeNDgei5my2kPpimyxinK1oes5MELHRr0fegzDIBbxYC7FguP0\nGQohpdVJLYwQCxtPsfB77PC59Vn2Nex3wmm3NhMb9YiekzJF9F4tSCwdLJU3gkS4xBihFFIrDtYI\nC12f8yBl9rVaGKFufiLFwuuywe/Rp/AABAFYb/BYzJbUHkpX6D0hEND/flSrc1jIlHR9ERKbxSRS\nJR1fSPUdKgq0kqv16pGYa5YOlkYfySrCP/rRjwIAvvvd78r5GM0xFPUgna+gXNVnbd5EUr/Z1yJN\nK6xOPRJ6T4ICALfThqDPoVvhUW9wmE/rNwlKRO9x4XEdV0YR0XuC7HymBJ7Xb4KyiHAh5bCY06eH\nNJFkwQAYCOszTwjQfw8Jqc9mWWPCf/3rX+Po0aP4h3/4B9jt9mWZ4QzDGK5tvUgs4sGrk/oshcTx\nPObSLIajXl0LD727f5vtofV+6EU8eG0qg0qtobtyl4vZMhocr+uLENAmAJMsfm+nyoPpAr2HBAGA\nx2VH0OvQr/BotqvX70UIaCtfmyzqsvlWPMUiGnTBobO9tB2jnM26CEf5zGc+gxdffBEsy+L555/H\nCy+80Pzv+eefl/PRqqLnUkipbBk1nSdBAUIpJAuj39q8eq9QIyKuhTkdzoMRwiCANsuTTq2wiRQr\nxPM69Cs8AGEektkyKrWG2kPZMHpP1hfRc54KW64hV9Rv6WAR8UKqR30ESG8UkNUSfs011+Caa67B\nd7/7Xezfv1/OR2kKPcf/xXVeF1nEZrWgP+zWseVJzL7WbywysHwtbBnUl1dI75VRRAbCHjCMPvej\nUqWOdL6Cy7fqs7pOO7GoF69NZTCX0t9amF00xrmg67N5aczDOt+PAOFzdHIqg2qtoTurfjzJwm6z\nIBqUphmjIomZ+/btw5133om9e/fiDW94A/76r/8ai4uLSjxaFfTcsVHKIvRqMxTxLHU81FezmIrE\n2ddq0rLC6nkt6Hse7DahNq8ehUfLAmuM/QjQ51pIpIqwWRn067Rngchg2A2GgS4rpBghWV8kFvWC\nh5DkqCc4nkc8VZS0Z4EiIvzTn/409uzZg6effho/+9nP8PrXvx6f+tSnlHi0KoSWSiHp8tAT4510\nHgYB6Df2bC7FSpp9rSbNDrI6PPQSSRZWC4N+HcaOrkS8kBZKNbWHsiESBrkIAfpNSON5HvEki8GI\nfnsWiNhtVvQH3bqszBE30tms03MhnaugWpO2WZIiIvz8+fN473vfC7/fj0AggPe9732YmZlR4tGq\nYBFr86ZZcDprUxxfyr4W653rGb2WyNN7q/R2IgEXHDaLToVHEQNhN2xW/VdyjelUAM4aoC6ySDMU\nQmf7UaYg9CwwgvgDhHnIs/q7kDY9c336Xwt6vZDKEaKoyOlisVgwOzvb/HpmZgZ2u75jXTsxFPWg\nVueQyuqrFFI8xaIv5ILdpq84rdXQa/dSo4RBAK0LaSKlrwtpnq2hWK7ruiJHO3pNFjeSJVy8kOpt\nDvTern4l+hWASz0LdNosqR29XkjjMuRGyJqYKXLnnXfiwIED2LNnDwDgt7/9LT772c8q8WjVaLrh\nUyz6dOLOLi5lX+/ZEVV7KJKg185cLbejMQ69WNSDqfkCUrky+nQSU2o04dG+H+mJeIqF22nVbav3\ndlZeSKWKKZUbIxkFgOUX0p2bgyqPZn3UGxwW0iVs3xTQdelgEd1eSGVoZKiICL/22muxZ88eHD9+\nHDzP495770VfX58Sj1aN9izs123Xh6g1Qj3ednxuO/weu+6ERyLJwmG3IBxwqj0USWj3SOhGhBso\nJAjQp/WvwXHNSiJGEB5A60KazlUkq64gNwkDJesD+ryQzqVL4HjeMCFBzQtpUmcX0sWiEK4rYbMk\nxYIdo9Eorr32Wuzbt8/wAhxoEx46WuhGs3gAwoa7kCmhVufUHsq64HgeiRQrafa12gzp0PVolBrh\nIn6PAz63XVeWp4WM0Czp/2/vzYMjra7z/+ftfW91t1rqljSL1JodM2AYyBgYT/Llh7FD2S5MKGyW\nGIgJMbYJUBiCyww42CZgOyR2bENw1dhA4tgOicGJ45BhGfBgBmPWkYaZkUbLSN1aet/X9/dH6231\nbFJL6ve9t7vPp8pVeCT1e7tP33vPPfec83Q1iQ2AagewcewwWRHqaQ47NOKB1D/bXDdzQHltzRVK\nCDWQeqmUrlvPtoqNX3HEKZ0OIwQ0ViukZumLXI3XZYIolmWXG4FQNINcodRUNqgUyDbSpicdSJsk\nJQgob3ozkUzDHEibRTW2mkYUiwmEUnDZGl8sSaIRD6TNdjMHNF7NlpSuW++9mZxwmdBp1XDZDY21\n2DZZ9A+Yl1lulMNQZbFtkqgTAHQ2YDsqfzAJu0UHk0GRjD1F8DpNKIliwxxImy0NAmi8KKwkltQM\n7VKrabQDaaDOUuk80GgthOXKFFDECc/lcvjBD36AL3/5y4jH4/je976HXK6xBFSWg8dlQjSZQypT\nYD2UmvAHm6f6WqJRJ3ozHYT0WjVcNkPDpKPkJLGkJjoIAY0XeWrG9LhGO5AGmjAoADTegXQymIJG\nrWqYmppaaLTcfLmK9RVxwu+//36kUikcOHAAarUao6OjyxLryefzuOOOO3DVVVfh6quvxvDwMEZH\nR/HpT38aV199Ne677z6IHLVBa6Q+1YViCTORNLwuc9MUQQGNJ1McaLKuHBJelwnRRA7pLP8H0sCc\nWFKz2WB+PWoMB9AfTDaNWJJEox1IK45HE/Smrmb+QMr/XBBFEYFgCh6nseHFkqrpdJoaKmXXL1Pj\nCkWc8AMHDuCOO+6AVquFyWTCQw89hIGBgSW/zksvvYRisYif/vSnuOWWW/D3f//3ePDBB3H77bfj\nqaeegiiK2LNnjwzvYHk0Um/emUgaxZLYVBFYAGi3G6BRCw1xEAKqxJLqWH3NAxWxmAaww7xUenPN\nhUa6FZJUGptFLKka6UDaCDek87URzTUXGik4E45nkc0Xmy4lSN9gKbvSDWJXnQ+kion1VKefhMNh\nqFRLf3Rvby+KxSJEUUQ8HodWq8WBAwewbds2AMCOHTuwb9++uo17pXgbKBLejFe/AKBWqdDpMCEQ\nSnJ1S3I6/KEUXPb6Vl/zQCPJFDfrXGhvM0CtEhpi04ul8khlm0csqZpGOpA261xopAOpNMZm6hIk\nMZ+yy7966WQwCYtRC0ud03UVccKvu+46XH/99ZidncUDDzyAyy+/HNddd92SX8dkMmFiYgKXXnop\n7r33Xlx77bXHOVYmkwnxeLyeQ18RjSQV3WwCMdV4nCaks0VEk3zXIchVfc0DngbqCtGsc0GtUqHT\n2RgH0mZNywIa64bUH0zCqNfA1gRiSdXM35A2hg2A5ruZA+bXWN7Ts/KFcrquHAchRUr/P/nJT2LL\nli147bXXUCqV8MMf/hAbN25c8uvs3r0bF110EW677TYEAgFcd911KBTmr/SSySRsNltNr+V2W5f8\n/KXS3m6ByaDBdDSjyPNWQjhZPoluWeeG221R5JlKfSZ9q9rwxqEZpIsi1nFsh+BoCADQ19Om6PdF\niWep9eXoQSiR434uzEaz0OvUWN/XrlgOplKfyRqvDZOzSWgMOjht/IrF/P5IEACwfq1Tsc9Gqeds\n6msH8D5imQLXc0GqE/L1tKGjo7Z9tR4o9Zl0uS0IhNJob7dwXQcVTpX35s0+d9PNhXVrnXju9+NI\n5kpcz4VRfwyiCPTKsDfL6oT/x3/8R+XLLYoizObyqWdwcBAHDx7EJz/5ySW9nt1uh0ZTHrLNZkOh\nUMDmzZuxf/9+nHfeedi7dy+2b99e02vNzCgTMe90mDA+HUdgKgr1MlJwlGJkMgq1SoCqVFTks3G7\nrYrZwG4sf2cODgfh5VilbvDILACgzaRR7LNRyg6iKMKoV2PUH1PsvS2Hkiji2HQcXpcZwWBCkWcq\nOReclnJE871D09i0xqHIM5fDoZGyE27RqZtuPTLOZZoNj0e4nguBUAqFooh2m77p1iMAcNsNGAvE\ncfhoEA4rv+rER49FAAB6lTJ+i5I2sOrKPtGhkRDOXMvvejRwZAYA4DBpl/XZLOS4y+qEv/baawue\nMJfqhH/2s5/FPffcg6uvvrrSKWXLli346le/inw+D5/Ph0svvXSlw64rHqcJR/0xzEYz6HTweZ0k\nFUF1Ok1cHxSWS6Nc/zajWJKEIAjwOM0Yn46jWCpx+z2bF0vic66ulPk+1UmunfCATJ0IeMBm1sGo\n13B/Bd+MKo3VVM8Fnp1wfygFl80AfZPVCQHVaYp8780V1VgZ5oKsTviDDz5Y19czmUx45JFHTvr3\nJ554oq7PqSfVBSC8OuGxZLl13GaON+WV0CiKjc0ollSN18X/gdTfpJ1RJCoHUt4dwGCq6cSSJARB\ngNdlwmiA7wNpM6o0VlOdj7xprZPxaE5NKlNANJHDGb18jm+l2ExamPQa7ouUAzIWKCuywl1yySWV\nriZAeREyGo3o6+vDXXfdhe7ubiWGwYTjFNL6GQ/mNDSjQEw1Rr0GdouO+6LAySYUS6qmIs7A8YF0\nvhtEc0b/GuFAms0XEYxlsHF1G+uhyIbXacLwZAyzkUxFwIc35BIn4YVGaFPYzLejwPyBdCQQR6FY\n4rYdqT+YglajgkuGdFZF3vFFF12Ea6+9Fs888wx++ctf4sYbb8QHPvABXHbZZcsS7WkkpOsLnquw\nmz3iAZQ3vVAsg2y+yHoop6RQLGEm3HxiSdU0gmR3pSsHp47RSmmEA2kl6tRkAjHVNIQDGEzNiSXx\nW0ezEuYPpPzuzXJGYHnB4zKhWBIxw6l6aUkU4Q8l4XGaoJJhb1bECX/jjTfw2c9+FhaLBVarFZ/5\nzGfw/vvv45JLLkE0GlViCMzoaDNCEHhfbJv7tA2U35sIYIrTa6/pcBolsfnEkqpphPy/iliSs7nE\nkqrxOk0IcnwgrUT/mvQgBACeSioEn3Oh2euEgPKB1GHVc52aNVnZm5t3LnRV1Ev5tEM4lkUuL1+d\nkGJiPXv37q38/71790Kn02FmZua4FoPNiFajgrvNyLUT3sxFUBIezoWTmlUUo5qONiNUAt/qpf5Q\nCu1tBmg1zVcEJSEdtnk9kAaaPCUI4F8sRqoTauaDEFDeF0KxLDI5Pv2QVpgLlVshTtcjuYOUijjh\nDz74IB555BGcf/75OP/88/Hd734XX//61/Gzn/0MN9xwgxJDYIrXaUIinUcizacqlD+YQpulXLHf\nrPC+6QVCzSkQU035QMqvTHEziyVVw3sqREscSB1zB1JObTDZ5HVCEtJ3bCrEZypEpU7I1Jx1QgD/\n3cvkXo8U8brWr1+Pp59+GtFoFGq1GhZLWQzmlltuUeLxzPG4THh7KIhAMIX+Hjvr4RyHVATFc7uy\nesC7VHQrOB5AOfL09lAQ8VQOVhNfKnytYoP5Aym/m55eq+a6bdxK0ahVcDuM8AfL6qW81YEEWiAN\nAjjeAVzj4UssRqoT6uuycff9qCftdgPUKn4PpHJHwhVxwg8cOIBHH30UkUjkuA4pP/nJT5R4PHOq\nJzpvTvhUk7dkk3DaDNBpVFw7HmqVgPYmLYKS8LrM5QNpKMWhE978tRHA/G0LjwfSUklEIJRCt7t5\nC5QlvE4T3gqlEE/nYeNuLjR/GgTA961QK9QJAeUDaYejnLLL44FUqhPyyFQnpIgTftddd+Gqq65C\nf39/5QPm7YOWE57zkSuLbZPn/qkEAZ1OEwKhFEqiKEuV83IRRRGBULKpi6Akqje9dT18taBrhdoI\nAHDY9NBpVVxGnmZjGRSKzSuWVI3XZcJbR8rfO+6c8FBrzAVp3+MxH9nfIrcRQPmw5w+mEEvlYTdz\nNheCSVnrhBRxwo1GI6655holHsUlPJ+2WyX6B5QXs/HpBMKxrCz9PpdLNJlDOlvE5jWtsNg2wIG0\nyTc9lSDA4+DzQNrsLSKr8VSlBa1fxdeB1D+nItnMdUIA4LDqodequWxT2Cq3EcDx6qU8OeGJdB6x\nVB5nem2yPUORsNuFF16In/zkJzh69CgmJycr/2sVrEYtzAY+ZYoDLdAjXILXG4nKYtve/DbwctyO\nyh9KwWLUcpcmIwcelwm5QgmhWIb1UI6jtRwPPtOCMrkCQrFsS+wJgiDA4zIhEEqjVBJZD+c4WiUo\nABwv5MYTSvRpV+SY+8tf/hIAsHv37sq/5XI5vPLKK0o8njllVSgzjvpj3KlCSUVQbU1cBCVRnZu/\nhSMZ4PnoX/M7HhajFhajlrvc/EoRVLd8EQ+eqD4Mtdv56YneSlfwvDoeUqeQVliPgPJ3bTQQx2ws\ng442vuaCRi3AzdH8lIv5vZmvuaBEpoAi3uDzzz+P559/Hr/5zW9wxx13oLu7G4lEQolHc4PHyZ8q\nVEksF0HJpQTFGx5O8//8LdIOTMLjMmEmkkG+UGI9lApTc0VQXS1iA15bdvqDKQgC0OFofjtYjFrY\nTFruboUkgZhWWY+8HCpniqIIf6gslqRStdLezI8NAGXUxBVxwsfHx/Hwww/jwx/+MO666y6cf/75\neP7555V4NDfwuOmFomVHqBWiTkC1TDE/NgBapwhKwus0oSSKmOboQCptwJ4Wif7xfCB1txmh1fBz\nWygnHpcZM9E08gV+1EtbKQ0C4DMKG45nkc0VW6I2AgBMBg3sFh1/e/Nsg0fC//d//xc33HAD/uzP\n/gzRaBQPP/wwOjo68IUvfAFOJz/pAErAY59qf4u0J5TQ69Rw2fRc2QBonSIoCR7zwlvN8eh0miCA\nr+hfPJVDIp1vGccDKH/fRLF8E8MLgRYq1gf4bJwwH4FtDRsA5eBMMJpBNs/RgTSUgtVUTqGUC1md\n8C996UuwWq346U9/igceeAAXXHCBnI/jGh5VoVqpCErC4zQhHM8ineVDplgqgmqVKDhQfSDlcS60\nhh30WjVcdr7US+cLlFtnPfJyeDvnD6Zg0KnRZmn+AmUA6HQYIQh8HUiVKAjkDa/LDBHz2iWsyReK\nmImkZQ8KyOqEP/PMM/B6vbj66qtx5ZVXYvfu3SgW+TnlKAmPqlCt1A5MwsNZR4JKEVRLLbb8RZ4C\noXIRFE9FinLjcZkQTeaQyvBxIK10amrB9YiX4EyxVMJUOAWvy9QyWh5ajRpuu5Gr1KzJFruNAPi7\nkZgKpyGK83NULmR1wtevX4+7774bL730Em666Sbs378fwWAQN910E1588UU5H80dkipUIJSqqIay\nRlKC6pRJCYpH5vuR8jHRW6lPu4R0IOVlsRVFEf5g6xRBSfDWsrMV50LF8eDEBrPRDApFsaVsAJTt\nEE/lkUjnWQ8FQOsIh1UzH5zh40Aq7U9yF+srUv2i0Whw8cUX4/vf/z5eeuklbN++Hd/+9reVeDRX\neJwmJDMFxFN8THR/KCWrEhSP8KaQ1mqdUQBArVLNqZcmuTiQRhI5ZFqoCEqCtxS5VpwL7TYDo9lm\nmQAAIABJREFUNGoVNwdS/2zrpUEAfAZnXDY99LpW2pv5uqX2V7oENXAk/FS4XC5cf/31ePbZZ5V+\nNHM8HJ30kpk8YslcC0Y8pKJA9jYAqgpwWs0BdJqQzhYRS+ZYD6UlI7BAVT4yJ5teICh/ERRvqFQC\nPE4jAkE+bkilFnGt0iVIgqcDaSpTQCTRenuzw6aHTsvRgbSZIuFEGZ5Oeq143QUAbRYd9Do1N5Hw\nQDAJvVYNRwuIJVXDU/5fqxVlSvCUm58vFDETTbec4wGUAwPZfBHheJb1UOYdjxZQ762Gp5adgRbr\nWiahEgR4nCYEQimUeDiQBpPQaVRw2g2yPoeccAXhadNrVcdDEAR4nSZMcSBTXCqJCITS8LRQEZSE\nl6Nc2EALdgkCAJtZB6New0X0bypULoJqtfUI4CtFLhBMQa0S4OZIOVIJeEpHadWbOaD8nvOFEkLR\nDNNxKClkSE64gvDUK1y6dmzNiW5CoVjCbIztRJ+NZVAoto5YUjXSdTcPDqA0F1qpQBmYO5C6TJgO\np1EoslUvbdW0LIAfB7BcoJyEu80Ijbq1XAOrSQeLUcvHeqRQGgSP8HIgDcUyyOVLitxGtNZMY4zZ\nwI9McaAFi6Ak5pUz2S64rSaKUQ1P6qX+YApOmx4GXWuIJVXjdZpQLImYZRx5UqoIikd4Ea+Kp/JI\nZgotGRQAynvhTKSsIs2SVp4LvKQpBioHIfltQE64wvAiU+wPpmA2aGBtoSIoCV5kiispQS0Y/avI\nFDOOeKSzBYTj2Za0AcBPsXgrR/+kGxg/Y/GqVk6DAMrrcEkUMR1hq14q7c02U+vuzawDZJMKBinJ\nCVcYj5O9THGhWCorQbnMLZeLDPBz2m7VvHwJHmSK54ugWtPx8HBSLO4PJqFVoAiKRww6DZw2Pa1H\njOHBAZT25lasEwLm1EvBfm9W8paanHCF4SH/byaSRrEktmQqClAlU8zY8QgEkxAEoMPRmnbgQaY4\n0MIRWICPYnEli6B4xes0IRzPIp1lp17ain3aq+EhOCPtzd4WaxEpodOq0d5mYJ4TPjknZOhRoE6I\nnHCF4aErRKtHPLQaNdrtBi6uvNxtRmg1rTkNeShUrvRFbtFIeIfDCJUgMA0KhGNZ5PKtWaAsIX3/\npsLs50KrOoA8HEgnJbGkFmsRWY3XZUYsmUMyw07UMBBMKiZk2Jq7P0N4KAqs5P616GILzE10hjLF\n8VQOiXS+ZXORgapKeIabXqsfSDVqFdwOI/xBduqlrZ6LDPDhAPpnU7BbdDAZWq9AGQDa7QZo1AIC\nDHPzAy1+EALYF+0n0nnEUnnF1iNywhWm3W6ERi0wXWwDLe54AFUTnVEUVnpuKzsePETCA8EUjHo1\n7GYdszGwxus0IZkpIM7oQNrqByGA/YE0my8iGMu0dFBArVKh02GCn6F6aSUS3spzgfGBVGn/iJxw\nhVGpBHTOqUIxizyFyoIM7W2tVwQlwTo3v9XzLwHAaTNAp1Ex68xRLJXmcpFbs0BZgvlckIpjW9gB\n9DAuCpyioACA8nqcyRURSeSYPD8QSkKjbvW9ea57GaMbCaVv5hru3unRRx/FCy+8gFwuh8985jPY\ntm0b7r77bqhUKqxbtw67du3ifkP1Ok2YmEkiksgpLldeFmRIodNpglrVumeweZliNhOdbiNOlilW\nuihvNpIpF0G1sA2A49sUrl/VpvjzA8EkBACdLeyEt1l0MOjUzGqF6DaizPyBNMlub3a0+N7MOihA\nkfDT89prr+HNN9/ET3/6Uzz55JMIBAJ48MEHcfvtt+Opp56CKIrYs2cP62EuisfFLi88lswhnS20\n9LUjwF4gg/Jgy3hcJuTyJYRjWcWfTY5HGdZ98/3BFFx2A/Ra+YugeEWYO5BOhVIolZS/IaX1qIyU\ni83iMBRJ5JDJFVt+PbIatTAbNAzXI2XnQkM54b/97W+xYcMGfP7zn8fNN9+MnTt34sCBA9i2bRsA\nYMeOHdi3bx/jUS6Ol2FvXkqDKGM1MZ7ooRQsRi0sLSiWVA3LG4lKN4gWdzxY1kekMnlEk7mWtwFQ\nPgwWiiJmo8prSNCBtAzLNoWtrJRZjSAI8LrMmImkUSgqr17qD6ZgNSm3NzdUOkooFILf78ejjz6K\n8fFx3HzzzcflVZtMJsTjcYYjrA2mEz1Eiy0wF3lymTDij6NQLEGjVu48mi+UBRn6u+2KPZNXqqOw\nZ/S6FH02OR5lLEYtrCYtk1shssE8nqq5oLR2gD+Ygl6rVjwFgzdYdi+juTCPx2XCkYloRVRQKfKF\nImaiaaxTcG9uKCfc4XDA5/NBo9Ggt7cXer0e09PTlZ8nk0nYbLaaXsvttso1zEUxW8tFF8F4VvFx\nRFPlDgibfG6mnwHA1gYAsLbLjqGJGIoqFbwKjmU0EIMoAn09bcw/A4CtHTb3lyMd0VRe8XEEY1mo\nVQI2r+tQ9BB2Klh/D1Z7bBg8GoS9zQSdgmkhbx8NAwDWrXEy/wxYP39DrwvYO4x4tqjoWIolEVPh\nFNZ4rOjoqG3/lBPWdnDZDZiKZBQfR2Rub97cT3vzutUOvPKOH8m8qOhYRvzlvblXwb25oZzwc845\nBz/5yU9w/fXXY2pqCplMBn/0R3+E/fv347zzzsPevXuxffv2ml5rZoZtxLzNosNYIK74OIaPRQAA\nBhXbz8DttjK3gWOuLd3A4RnoFawJHDg8AwBoM2mZfwas7aATyjdZRyeiio5DFEWMBWJwtxkRZtgX\nGGBvAwBwWfUoicCBw9PocVsUe+6h0SAAwKJTtfx6ZNaUF6EjY2FFxzIdSSNfKKHdbmD+GfBgh442\nIwZHwxifCMOgU85FkvZmvSC2/Fyw6suf+/tHZ9HvUW49GjhS3psddd6bF3LoG8oJ37lzJ15//XVc\nccUVKJVK2LVrF7q7u/HVr34V+XwePp8Pl156Keth1oTXZcbgaBjZfFHRgiR/MIU2iw5GfUOZXhYq\nvXlDKZyt4HMpJWgevVYNl82geJvCeCqPZKbApBsIj1S3KVTSCfdXFAJbOw8WADocJgiC8qkQASrK\nPA6vy4TB0TCmQmms8SgXhfUHk3Da9Io6/rzCqm2qf3ZuLii4HjWcte+8886T/u2JJ55gMJKV4XFK\nEz2F1Z3KTHRJkGHTGociz+MdVq2QAlSAcxwelwkHjoaQzhYUOxzOF0HRQQioFshQ1gH0h1IwGzSw\ntniBMgBoNSq424yKd+aoCMS0eMcsifk6laRiTng6W0AkkcOWXqciz+Od9jYD1CpB8blQCZApOBca\nqjtKM8FCLVASZCDHo4y7zTg30RV2PIIpaNQqtNtaV5ChGi+D7hzziy0dhICqokAFbVAoljATLhde\n8a7toBRepwnxVB4JBdVLK1LptC8AYNM4IcDA+eMZtUqFTqfy6qX+2SR0GhWcduX2ZnLCGcFCmrVS\nfU0THQCgUZcjTwEFJ7ooivCHUvA4jVCpyPEA2Fw9VsSS2mkuAEC7zQCNWqXoejQdTqMkihQUqIKF\nfoE/mIIgQPGOLLxSnaaoFJMM0iB4x+s0IZ0tIJZURr20JIpzCsomRYXjyAlnRKU/soLXvyTIcDJe\nlwnJTAHxlDKRp3A8i2yuSKkoVXgYyBTTgfR4VCoBnU4jAiHlDqTSetRFc6GCh0FakD+YQkebEVoN\nuQMA4LDqodeqFc3Np0j4ySh9IxGKZZArlBQPCtCsY4TTZoBOo1L0Cj5ABYEnobRQCYucM95hcyuU\nhN2sg8lAucgSXqcJ2VwRkYQykScSDjuZylxQaD2Kp3JIpPMUmKlC0pAIhNKKqZdWIuE0FyooPRek\n9UjpoAA54YxQzckUB0IplBSLPJUFGdpaXJChGqUjTwESZDgJu1kHo16t2BV8Ll9EMJohG5yAp6og\nTQlInORklE5HoYPQqSmrl5YwG8so8rxAKAWTXgPbXNtcoqpAdlbZ9Ygi4S2Ex2VCLl9COJaV/Vms\n8p14p1qxUQkoJehkhLkD6VQ4pUjkKRBKQQR1pzkRpW8kAqEkNGoB7QoWQfGOxViWy1YsKEC3o6dE\nSeXMQrGE6XAaXpeJCpSr8Cicm88qPY6ccIYomQoRimaQL5RosT0BxdNR5hycTqdRkec1Ch6nGYWi\niNloWvZnUf7lqVGyQFYURfiDKXQ6TFCraBuqxusyYSZSXq/lZj4Ngg6k1SgZnJmJpFEsUYHyiRj1\nGrRZdIrl5ksFykrvzbT6McSr4PWvn9oTnhKLUQurSavY9W8glCJBhlOgZBSW0iBOzXzkSf71KJLI\nIZMrkg1OgddlQkkUMR1R7kDqoQPpcVQ6pCi4HlGB8sl4XWYEY+VmBnLjDybhthuh1SgnngiQE84U\nJQsP5h0Pmugn4nWaMBNNI1+Qd6KnswWE41mKwJ4CZZ1wiv6dCoNOA4dVr6gNKCXoZDxOKS9cgeBM\nMAmbqZwCQ8zT6TRCgHI2AChAdiqU0lNJpPOIp/JMbEBOOEM6Hcpd/1akickBPAmPywxRBKbC8kae\n5vMvyfE4EckZCygQhQ0EU9BpVXDYqED5RDxOE8LxLDK5gqzPoduI06NUa7ZcvojZSIbWo1Og1ajR\n3mZQNEBGkfCT6VKofe18YIac8JZCr1PDZdMrko/sD6YggHKRT4VSubDUGeX0dLQZIQjyOx5UoLww\n0ndzKiTzgZTmwmnxKhT9mwqnIYJscDq8LrMi6qX+YApqlYD2NipQPhHpQDo5K+9cYJkpQE44Yzwu\nM8LxLNJZmSNPoRRcdoPi+U6NgFLCSdJpnq7gT0arKauXyi1THIqWBRko+ndqpM/l2ExC1udMSlfw\ndDN3Eu12A7QaFcan5bUBpQQtTLe7/LmMTsVle0a5QDmJTicVKJ+K1R0WAMCIPybrc1gGBcjqjJGu\nWyZm5HMAk5k8YskcOR6nocddnuijU3JvehT9W4jVnVYk0nnMRuXrzUtiSQuz1msFAAzLvelRgfJp\nUatUWOux4thMQtbgzHwaBM2FU9HfZQcADB2LyvYMKlBeGKtJh06HEUOTMVn1VCYZ1gmRE86Y3q7y\npjc0Kd9Ep6vfhXHa9LBbdBiaiMoahfUHUzDq1bCTIMMp6e+yAQCGJuSbCyROsjBrOq3QqFWy2oAK\nlBenv9sOUZQ3AkgFgQvj6y474Udk3ZtJKXMxfN12pLMFWUV7AsEUrIwKlMkJZ0zltE2OBzMEQUB/\nlx3RZA5BmRTSiqUSpkIpeJxmEmQ4DX3d0lyQz/EIUGeUBdGoy1HY8emEbMWZlbZ4ZIPTMu8AyjkX\nygXKThvlIp8Km1mHjjYjhifki8JOSgEyJ82F09Ev7QsyzYV8oYiZaJrZnkBOOGNcdgNsZp1sXzBg\nPheZIk+nxyezAzgbyaBYEinisQDlKKwga+RJKlD2UIHyafF12yCKwFG/PLmw88p0NBdOx/x6JM9c\noALl2vB125DKFmQrGK/cUrfTXDgdlQOpTGlBU6E0RJHdbQQ54YwRBAG+LhvC8SxCMkVhA9QjfFH6\nZE6FoHzwxdFqVFjTacWx6QSyeXl6tvtDKbS3UYHyQvhkvp2bv5mj9eh02M06tNsNsqXIUYFybfTL\nfBiqFOtTgOy0dLebYdCpZUvZnWTcvpmccA6QTnrDMkXD/cEUzAYNrCYSZDgdaz1WqFWCbDcS84st\nbXoL4eu2o1gSZcmFpQLl2pA7Cks1KrXR321HMlOQpVUhFSjXhtxzwR+kAuXFUKkE9HXZ4A+mZGkX\nOX8bQekoLYtvLgp7RIaJXiiWMBNJw+MyUS7yAui0aqzutGBsKi6LciZFwmvDJ2P+XyUCS47Hgjis\nerhsegxNxmSJwvpDVKBcC3KmyFGdUG10u83Qa9Wy7M1UoFw7/ZVAZf3tQJFwAmu9NqgEQZbrlplI\nupyLTBHYRfF1zUVhA/XPhfUHk1AJAjoclIu8ED4Z04Kk6no6CC2Or9uORDqP6TqryBaKVKBcK/MF\naTI4HrNSXj7tCwuhVqkqUdhkpr5RWErLqp1KXrhMB1KdRgWnnU2BMjnhHKDXqrGqw4LRQAL5Qqmu\nry2luKyaa3pPnB65Ik/5QhFjUwl0tZuhUdOUWwinzQCHVZ4orBTNWt1prevrNiPzm159HcARfxzF\nkoi1HrLBYvR0mKHTqmSJwh4+FoFOq6JIeA34usuBgXqnix4ajwAAzYUakCs4k8zkcWwmgTUeK7MC\nZfIIOMHXbUOhWMLYdH2jsIOjYQDApjWOur5uM1KZ6HWOPA1NxJAvlMgGNeLrtiOWzNVdtGdwNAyT\nXoM15IQvilxtwQZGQwBoPaoFtUqFXo8NkzNJpDL1axcZjmfhD6awYZWDggI1IBUq17s7hzQXNq91\n1vV1mxGTQYuudjOG/TEUS/ULVA6OhCGKwBaGNqAZyAnSRB+uYxRWFEUMjoZhNWnR5aYrr8Vw2Q2w\nm+sv2jNAB6ElIYdoz3QkjdloBhvXOKBSURrEYqzqsECrqb9oz+BIGAKAjTQXasLXbYcI4GgdC5UH\nRiTnj2xQCz4Z0oLyhRIOjUXQ1W6Gw6qv2+s2M74uG7K5Yl3VxStzoZec8JZHuvKq50SfDqcRjmex\nYbWDesHWgCAI8HXbEUnkEIpl6/a6B0fDUAkCNqxuq9trNjNypAUdpIPQkpBEe+opnZ7NFXFkIorV\nHisTZbpGRI4WeQMj5blAEdjasBi18DhNGJ6MoVSqT3BmaCKKXKFEB6ElIMdcODASglGvQa+X3e0o\nOeGc4G4zwmLU1tXxoFSUpVPvw1A6W8BRfwxrvVYY9dSGqhZWyyDaQ9G/peOrs3T64WMRFEsiNtN6\nVDN93fXtnCWKIgZGQ7CZtOim29Ga8XXbkMkVMVEn6fQDI5SKslTqXacyHUljJpLBxtVtUKvYucLk\nhHOCIAjo77YjGMsgkqhPFJac8KUzL1RSX8eDbFA7Wo0Kazz1E+0RRREHR8Nos+ioPeESqOTC1ikv\nnCKwS8dm0qHDYcTQZH2k0yeDKUQTOWxa66Tb0SVQ7yjswEgYapWADavodrRWPC4TzAZN3fbmgaPl\ng9AWhqkoADnhXFGJwtZhoouiiINjYTisenRSW7yamRftqc9iSweh5VFpF1mHKOzETBKxVB6b1jip\nLd4S6K/jegSUC9E0agH9Pfa6vF6r4OuyI10n6fTKjRCtR0uinqI9yUweI4EY+rpsdDu6BFSCgL4u\nO6YjacSSuRW/nnQbwbIoEyAnnCv6uurXkWBiNol4Ko+Nqx3keCwBXaVdZH1EewZHwtCoVZVIClEb\n9RTtkQpjKRVladgterTbDRiuQ7vIeCqHsakE+rvt0GvVdRphayAdWurhAA7SbcSy6Go3w6ivj2jP\nwVH2HTkalXoFBkql8u2oy2Zgrt1BTjhH9HqtEIQ6LbYUgV02knT6aCCxotdJpPMYm06gv9sGHTke\nS6KefWEHR6gt3nKRRHumVijac3Cs3BN5EzkeS6Zec6FYKuHgWBidDiNcjIRJGhUpCjsVTiOeWlkU\n9gAdhJZNJS98hTfVI4E4kpkCtvSyD1KSE84RBp0GPW4LRgJxFIor64UpdYPYuIZyzpZKvfqFU0eO\n5VMR7Vlhu8hiqYT3xyPodBjhtJHjsVTq5QAOUmHssulxW6DXrTwKe9QfRyZXJOdvmczvCyu7nRsY\nCcGgU6O3i/QKlkqv11YOVK6wZztPhbEN6YQHg0F8+MMfxtGjRzE6OopPf/rTuPrqq3HffffVXWVP\naXzdduQLJYxPLz8KWyqJODgWgbvNgHY75YMvlXrl/83fRrCf6I2Ir9uOWCqPmRWI9kiOB0Vgl4eU\nCrFSB3BgJAyjXk3qgMtApRLQ5125dDp1CFoZ9UgLmo2kMR1OY+NqB9OOHI2KUV8OVB5dYaBy4GgI\nAsgJXxb5fB733nsvjEYjRFHEN7/5Tdx+++146qmnIIoi9uzZw3qIK0I6ba9EInd0Ko50tkAR2GXS\nbjfAZtatOOIxOBqGXqfGWoY9SBsZSbRneAWb3iAVoq2IHrcFuhWK9sxG0piOpLFhFTkey6Ue0ukD\nJJS0Ivq8dghYmRMu1aew7sjRyPSvMFCZyRW40itouBXxoYcewqc//Wm43W4AwMDAALZt2wYA2LFj\nB/bt28dyeCumHlHY+VQUWmyXgyAI8HXZEI5nEYotLwobjmcRCKWwYVUbSUMvk3qI9gyOkuOxEjRq\nFdZ6bZiYSS5btIcKY1fOSlvkZXIFDE1EsdZrhdnA3vFoREwGzYql0w8cpduIleJbYe/898fKbYN5\nKYxtKO/g6aefhtPpxIUXXgig3IavOv3EZDIhHo+zGl5d6HQYYTZoVnT9W0mDWE0Tfbn0r7A7x+Ao\nFQOulJWK9mTzZYXGVZ0WLiIejYqv2wYRwPAy20VW1iNONr1GpNI5a5n7wqHxaFkoiWywInzdduTy\nJRybXrpoT0kUMThabhtMegXLZ6WByvnWhHzszQ3VpPLpp5+GIAjYt28fDh48iLvvvhvhcLjy82Qy\nCZvNVtNrud38pghs6nXh94NT0Bi0cFiXVkyWL5RweCKKVZ1W9Pe2yzTC+sCzDT642YOfvziEyVB6\nWeMcDhwGAHzorB6u3yfAtx36e9pweDwCq90Ig25py9Wb70+jUBRxziYP1+8R4NsGH9zkwa9/N4ZA\nJIOdSxynKIp4fywCp02PrRs7mXciWAiebeAG0O22YNgfh9NlgVq1tM9x5NVRAMD2rd1cv0+Abzuc\nvbEDe9+exFQ0g3M/0LWkvz1yLIJEOo//t20VOjpq81NYwbMN2tstsFt0OBqIL2uc749HodOqsf3s\nHmg17LuWNZQT/uSTT1b++9prr8X999+Phx56CPv378d5552HvXv3Yvv27TW91swMvxHzVe0m/B7A\n6+9M4uz17iX97aHxCLK5ItZ327l+j263levxtRk1UKsEvHdkZsnjFEURbx2ahsWohVkrcP0+ebfD\n6g4LDo6G8ft3J7FhiTc7r74zAQBY22Hm+j3ybgO3RQcAeOfQDP7fWUtzPI5NJxBJZLF9SydmZ1fW\n8lNOeLcBAKz1WDAxk8A7gwH0dFiW9Le/H5iCVqOC26Ll+n3ybocOmx4A8NahaZy3YWl78743jwEA\n+jx8v0febQAAvR4b3joyi0PDs3BY9TX/XTiexfhUHGf0OhEJr1z8qlYWOiw0VDrKiQiCgLvvvhvf\n/e53cdVVV6FYLOLSSy9lPawV07eCVIiDY5QPXg/0WjV6OiwYnYojX1ha/t90JI1QLIuNq9tIGnqF\nrCQt6OBoWRp6fQ+16VwJNrMO7jYDhiejS5ZOn88HpzSIlbLcHsnRZA7HZhJY32PnIvLXyHQ6Jen0\npadCDHDUFq/RWW6nGh5t0FCR8GqeeOKJU/53M9DntS27CvvgXCHahtXkeKyU/i47RgNxjE3FKxtg\nLUiqdJQPvnKWm/+XyuQxEohjXbcdeh05HivF123H7w5MYSqUgtdlrvnvBkgoqW5UF2fuPKu75r+r\n1Kdw5Hg0KipBgK/bjneGgogmc7CbdTX9Xb5QxKFjUfS4zTX/DXF6pC5yRyaiOHdjR81/V8kH56g7\nTUNHwpsVo16DbrcZRwNLq8LOUSFaXelbpkQuFaLVD4dVvyzRnoNjEYgi2aBe+LqW3i+8UJwTSnKa\nSCipDkjS6UvtFjQwQt1p6slyBKwOH4siXyhxFYFtZNZ6bVCrhCXZQBRFDIyEYTPr0OOuPZAgN+SE\nc0pf19KrsI9MRFEoihR1qhPz17+1b3rVFfCdDhJKqgfLEe2h24j60r+MdpFH/TFkc0Vy/uqESiiL\n9gRCKSTStYn2lB2PEMwGDVZ38Fts10gsp10kTwqNzYBeq8aqSrposaa/OTaTRCyZw+a17KXqqyEn\nnFOkXphLkU4fJJn0uuK2G2AzaZe02E7MJJFI57FxNV8TvZHpX0bkaWA0BL1Wjb4uvrsQNAo9HWbo\ntKqlrUdSBJbWo7qx1PSs6XC5PmXTGgdUS+yoQpya3q6ydPpSboUGRsr1KRtWUZpovejvtqNQFDEa\nqK3gW+rRzkt/cAlywjnF17X0yNPB0TBUgoB1VIhWF4S5/L+liPYMkjBJ3Vmq4xGOZ+EPprBulZ2E\nkuqEWqVCr8eGyZkkUpnaRHsGRkIklFRnKnOhxsMQj4VojY5BV5ZOH6lROj2RzmMsEEc/1afUlcpN\ndY37Aq9zgXYoTvG4TDDpNTUvtulsAUf9cfR2WWHUN2y9LXdIE71WuehBKkSrO5JoT60HUkkxdvMa\nvhbbRqe/xw4R5TSTxcjmihiajGGNhxQa68l8PnJtc4HyweVhKdLpg6NhiAA2c1QM2Az4llCzlS8U\ncWg8gq5285JaGioBOeGcohIE9HXZMB1OI57KLfr7h8YjKImUD15vqquwF6NYmitEcxipEK2OaDUq\nrPFYMT6dQDa/eP7fAKmVyoJvCaqNh46VpaE3kfNXV0wGbc3S6aVSuT6l3W6Au43qU+pJRTr92OJz\ngaTq5cFlM6DNosORGor2jxyLIlcocZeKApATzjW+JfRIJql6eVjrsUElCDXdSIz448jkiuT8yYCv\ny46SKGJkkSisOFcYazFqsapzaYImxMJI3YJq6VPN69VvM+DrsiGbK2JiZuGi/dGpOFLZAneFaM3A\nUtKCBkZCMOo16PVQfUo9kdJFo8kcgosU7R+YuxHa0svf3kxOOMcs5brl4FgYGrVqSf2sicXR6+aq\nsAOJRUV7pIMQ5cDWn1pFe6RCNBJKqj82kw4dDiOGJ2KLivYMjpTXo3W0HtWdWmsk6CAkHx1tRlhr\nKNqfDqcwG81QYaxM9NcoYHVgJDRXGMvf3kxOOMf0ectO+GL5yIl0HuNTCfR326DTUuFHvfF121Ao\nljA2vbCULznh8lGz40E92mXF12VHKluAP3h6yedYKoex6QTW9dhpPZKB+YK0hfcFKR+c1qP6IwgC\nfF12BGNZhOPZ0/6eZIMtlIoiC74aWqfyXhhLTjjHVOf/lUqnjzy9P1Yu/KDFVh5q6VTLyId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A2U4amnnhJ37dolTkxMiKIoisVi8bifkx3kJRAIiLt27RKvuuoqcWxsTBRFsgELpqamxC9/+cvi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\nVUXoAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth, solpos['apparent_zenith'], solpos['azimuth'])\n", + "\n", + "aoi.plot()\n", + "plt.ylabel('Angle of incidence (deg)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that AOI has values greater than 90 deg. This is ok." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### POA total\n", + "\n", + "Calculate POA irradiance" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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i0jklGoXs80IsT60HTw683WnKUQD2CifSKwbhREREOhdpbQEikU7tCV3t7rT/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Ahgz5492Lx5M+bPn49FixbBYDDgy1/+MhYsWFDut1DxUAzKD8VAH1Acyg/FQB9QHMoPxaBy0X0S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\nwomIiIiI1tg/L5gG4uZVWHIAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "poa_irrad = pvlib.irradiance.globalinplane(aoi, forecast_data['dni'], poa_sky_diffuse, poa_ground_diffuse)\n", + "\n", + "poa_irrad.plot()\n", + "plt.ylabel('Irradiance ($W/m^{-2}$)')\n", + "plt.title('POA Irradiance')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Cell and module temperature\n", + "\n", + "Calculate pv cell and module temperature" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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QZRmCIGgd1rwXiedgs+gRzY1hsS141M9cTcKziANwctfMWehPDkGSJXTNcJOe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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pvtemps = pvlib.pvsystem.sapm_celltemp(poa_irrad['poa_global'], wnd_spd, temperature)\n", + "\n", + "pvtemps.plot()\n", + "plt.ylabel('Temperature (C)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## DC power using SAPM" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get module data from the web." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "sandia_modules = pvlib.pvsystem.retrieve_sam(name='SandiaMod')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Choose a particular module" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Vintage 2009\n", + "Area 1.701\n", + "Material c-Si\n", + "Cells_in_Series 96\n", + "Parallel_Strings 1\n", + "Isco 5.09115\n", + "Voco 59.2608\n", + "Impo 4.54629\n", + "Vmpo 48.3156\n", + "Aisc 0.000397\n", + "Aimp 0.000181\n", + "C0 1.01284\n", + "C1 -0.0128398\n", + "Bvoco -0.21696\n", + "Mbvoc 0\n", + "Bvmpo -0.235488\n", + "Mbvmp 0\n", + "N 1.4032\n", + "C2 0.279317\n", + "C3 -7.24463\n", + "A0 0.928385\n", + "A1 0.068093\n", + "A2 -0.0157738\n", + "A3 0.0016606\n", + "A4 -6.93e-05\n", + "B0 1\n", + "B1 -0.002438\n", + "B2 0.0003103\n", + "B3 -1.246e-05\n", + "B4 2.11e-07\n", + "B5 -1.36e-09\n", + "DTC 3\n", + "FD 1\n", + "A -3.40641\n", + "B -0.0842075\n", + "C4 0.996446\n", + "C5 0.003554\n", + "IXO 4.97599\n", + "IXXO 3.18803\n", + "C6 1.15535\n", + "C7 -0.155353\n", + "Notes Source: Sandia National Laboratories Updated 9...\n", + "Name: Canadian_Solar_CS5P_220M___2009_, dtype: object" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_\n", + "sandia_module" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Run the SAPM using the parameters we calculated above." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " i_sc i_mp v_oc v_mp \\\n", + "2015-11-21 00:00:00-07:00 NaN NaN NaN NaN \n", + "2015-11-21 03:00:00-07:00 NaN NaN NaN NaN \n", + "2015-11-21 06:00:00-07:00 NaN NaN NaN NaN \n", + "2015-11-21 09:00:00-07:00 1.060435 0.955692 52.816629 43.471397 \n", + "2015-11-21 12:00:00-07:00 2.553277 2.290126 54.789419 44.995256 \n", + "\n", + " p_mp i_x i_xx \\\n", + "2015-11-21 00:00:00-07:00 NaN NaN NaN \n", + "2015-11-21 03:00:00-07:00 NaN NaN NaN \n", + "2015-11-21 06:00:00-07:00 NaN NaN NaN \n", + "2015-11-21 09:00:00-07:00 41.545276 1.033531 0.745742 \n", + "2015-11-21 12:00:00-07:00 103.044799 2.491085 1.723103 \n", + "\n", + " effective_irradiance \n", + "2015-11-21 00:00:00-07:00 0.000000 \n", + "2015-11-21 03:00:00-07:00 0.000000 \n", + "2015-11-21 06:00:00-07:00 0.000000 \n", + "2015-11-21 09:00:00-07:00 0.207936 \n", + "2015-11-21 12:00:00-07:00 0.499688 \n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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KTvQIn6FGlqPrB6t9UI+QSUZQqvLm1Cl5rTkt0+FMeIY93YmkMZCa8E2bNuGz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\nd8juEc6DmUTIa4Zj7QmFrBpDuVpHmV2zOuJ0SRD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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sapm_out = pvlib.pvsystem.sapm(sandia_module, poa_irrad.poa_direct, poa_irrad.poa_diffuse,\n", + " pvtemps['temp_cell'], airmass, aoi)\n", + "print(sapm_out.head())\n", + "\n", + "sapm_out[['p_mp']].plot()\n", + "plt.ylabel('DC Power (W)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## DC power using single diode" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "cec_modules = pvlib.pvsystem.retrieve_sam(name='CECMod')\n", + "cec_module = cec_modules.Canadian_Solar_CS5P_220M" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = (\n", + " pvlib.pvsystem.calcparams_desoto(poa_irrad.poa_global,\n", + " temp_cell=pvtemps['temp_cell'],\n", + " alpha_isc=cec_module['alpha_sc'],\n", + " module_parameters=cec_module,\n", + " EgRef=1.121,\n", + " dEgdT=-0.0002677) )" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "single_diode_out = pvlib.pvsystem.singlediode(cec_module, photocurrent, saturation_current,\n", + " resistance_series, resistance_shunt, nNsVth)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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bTjvttF58eyJHice4hXIV5UoNUdaF94TobTw8Q1CStNsU6gASJ/w9Oat5UI+Q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\nybJly/QPSZqmYTKZpEEAPdpg9OjRzJw5k+joaJxOJ9nZ2Rw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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "single_diode_out[['p_mp']].plot()\n", + "plt.ylabel('DC Power (W)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## AC power using SAPM" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get the inverter database from the web" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "sapm_inverters = pvlib.pvsystem.retrieve_sam('sandiainverter')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Choose a particular inverter" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Vac 208.000000\n", + "Paco 250.000000\n", + "Pdco 259.522050\n", + "Vdco 40.242603\n", + "Pso 1.771614\n", + "C0 -0.000025\n", + "C1 -0.000090\n", + "C2 0.000669\n", + "C3 -0.018900\n", + "Pnt 0.020000\n", + "Vdcmax 65.000000\n", + "Idcmax 10.000000\n", + "Mppt_low 20.000000\n", + "Mppt_high 50.000000\n", + "Name: ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_, dtype: float64" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sapm_inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_']\n", + "sapm_inverter" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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rr8fZZ5+N9773vfjyl7/cdSnK7t278d73vhe2bQMAPvKRj2Dnzp245ZZbIITA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\nYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "p_acs = pd.DataFrame()\n", + "p_acs['sapm'] = pvlib.pvsystem.snlinverter(sapm_inverter, sapm_out.v_mp, sapm_out.p_mp)\n", + "p_acs['sd'] = pvlib.pvsystem.snlinverter(sapm_inverter, single_diode_out.v_mp, single_diode_out.p_mp)\n", + "\n", + "p_acs.plot()\n", + "plt.ylabel('AC Power (W)')" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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1NQElUxm1tnVavZS8MDUJf+ONN7R06VLdeOON+t3vfqcnn3zSzMsDAADkXXVF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\nTOWiFRUADGp11UGl0oa2bI9p6/aYRg0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bEJuC0kJTaJ+Bp5cHfR7tn2t/F/y8VkJy5H3H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\nNa0AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "diff = p_acs['sapm'] - p_acs['sd']\n", + "diff.plot()\n", + "plt.ylabel('SAPM - SD Power (W)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot just a few days." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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OZJoxMOq6TliJsMghmk7GsBk21letcoiD6hhR4XbZOdXbxMxKhi53PwBvLU0c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\nkXDr7Otkv+cg45xZ7OnTsoiRNHlCMnurW/m8rIm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sapmsd
count21.00000021.000000
mean73.28816475.326466
std34.60063734.514244
min37.85491339.675335
25%49.12291951.197450
50%55.28017557.380519
75%98.743770101.371158
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" + ], + "text/plain": [ + " sapm sd\n", + "count 21.000000 21.000000\n", + "mean 73.288164 75.326466\n", + "std 34.600637 34.514244\n", + "min 37.854913 39.675335\n", + "25% 49.122919 51.197450\n", + "50% 55.280175 57.380519\n", + "75% 98.743770 101.371158\n", + "max 157.927375 158.220773" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p_acs.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "sapm 1539.051434\n", + "sd 1581.855796\n", + "dtype: float64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p_acs.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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UAmg8hFoAAMJUY6AdMFDtrvx/MuKY6APsRKgFACAMBFo0hqDdBbgYn0IAAEIg0ALOR6cW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\nJGn//v16+umnOS9qoIrT5hLXjOrEVJXaqKgo7du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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# create data for a y=x line\n", + "p_ac_max = p_acs.max().max()\n", + "yxline = np.arange(0, p_ac_max)\n", + "\n", + "fig = plt.figure(figsize=(12,12))\n", + "ax = fig.add_subplot(111, aspect='equal')\n", + "sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=poa_irrad.poa_global, alpha=1, cmap=mpl.cm.YlGnBu_r) \n", + "ax.plot(yxline, yxline, 'r', linewidth=3)\n", + "ax.set_xlim(0, None)\n", + "ax.set_ylim(0, None)\n", + "ax.set_xlabel('Single Diode model')\n", + "ax.set_ylabel('Sandia model')\n", + "fig.colorbar(sc, label='POA Global (W/m**2)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can change the value of color value ``c`` to see the sensitivity of model accuracy to measured meterological conditions. It can be useful to define a simple plotting function for this kind of exploratory analysis." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def sapm_sd_scatter(c_data, label=None, **kwargs):\n", + " \"\"\"Display a scatter plot of SAPM p_ac vs. single diode p_ac.\n", + " \n", + " You need to re-execute this cell if you re-run the p_ac calculation.\n", + " \n", + " Parameters\n", + " ----------\n", + " c_data : array-like\n", + " Determines the color of each point on the scatter plot.\n", + " Must be same length as p_acs.\n", + " \n", + " kwargs passed to ``scatter``.\n", + " \n", + " Returns\n", + " -------\n", + " tuple of fig, ax objects\n", + " \"\"\"\n", + " \n", + " nonnull_idx = ~p_acs['sd'].isnull()\n", + " \n", + " fig = plt.figure(figsize=(12,12))\n", + " ax = fig.add_subplot(111, aspect='equal')\n", + " sc = ax.scatter(p_acs['sd'][nonnull_idx], p_acs['sapm'][nonnull_idx], c=c_data[nonnull_idx], alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) \n", + " ax.plot(yxline, yxline, 'r', linewidth=3)\n", + " ax.set_xlim(0, None)\n", + " ax.set_ylim(0, None)\n", + " ax.set_xlabel('Single diode model power (W)')\n", + " ax.set_ylabel('Sandia model power (W)')\n", + " fig.colorbar(sc, label='{}'.format(label), shrink=0.75)\n", + " \n", + " return fig, ax" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(,\n", + " )" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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hq6++WklJSW53X91ayuFw6OzZsyosLFRBQYFq1apVraIBwIoIrgDM5s/zvB49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\nAyIiIiIiLVF4FRERERHTUHgVEREREdPwmEtlXY/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gZQD7Tp6W4uv5v3Ywtq4Ofn+QwAog5JywS0BxcbEefPBB1axZU6Zpavr06Zo4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\nPGEVAACgutGwolwIqwAAhAC7BFgiaSA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AQlNiYqJWr16t3r17Kzo6uvjMuT98rsoPCwtTtWrVir+PjIxUeHjFFvP/euf/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\n9fnnn5f62MMfri7+mlAKAAAQGhyT5nJ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TIYQQQggxL0hiKoQQQggh5oX/AD5qQvYzYNKy\nAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sapm_sd_scatter(wnd_spd, label='Wind speed', vmax=10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice the use of the ``vmax`` keyword argument in the above example. The ``**kwargs`` pattern allows us to easily pass non-specified arguments to nested functions." + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def sapm_other_scatter(c_data, x_data, clabel=None, xlabel=None, aspect_equal=False, **kwargs):\n", + " \"\"\"Display a scatter plot of SAPM p_ac vs. something else.\n", + " \n", + " You need to re-execute this cell if you re-run the p_ac calculation.\n", + " \n", + " Parameters\n", + " ----------\n", + " c_data : array-like\n", + " Determines the color of each point on the scatter plot.\n", + " Must be same length as p_acs.\n", + " x_data : array-like\n", + " \n", + " kwargs passed to ``scatter``.\n", + " \n", + " Returns\n", + " -------\n", + " tuple of fig, ax objects\n", + " \"\"\"\n", + " \n", + " nonnull_idx = ~p_acs['sapm'].isnull()\n", + " \n", + " fig = plt.figure(figsize=(12,12))\n", + " \n", + " if aspect_equal:\n", + " ax = fig.add_subplot(111, aspect='equal')\n", + " else:\n", + " ax = fig.add_subplot(111)\n", + " sc = ax.scatter(x_data[nonnull_idx], p_acs['sapm'][nonnull_idx], c=c_data[nonnull_idx], alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) \n", + " ax.set_xlim(0, None)\n", + " ax.set_ylim(0, None)\n", + " ax.set_xlabel('{}'.format(xlabel))\n", + " ax.set_ylabel('Sandia model power (W)')\n", + " fig.colorbar(sc, label='{}'.format(clabel), shrink=0.75)\n", + " \n", + " return fig, ax" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(,\n", + " )" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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jZ555pkrn8Jq4ZmZmKiUl5aKLi4mJUVZWlsaNGydJ2rlzp9q3by9JSkhI0IYN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\npysmJkbJyck6ePCg3n33Xc2fP1+SVFFRoaFDh/q/76uvO3f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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sapm_other_scatter(temperature, forecast_data['ghi'], clabel='Temperature (deg C)', xlabel='GHI (W/m**2)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we will assume that the SAPM model is representative of the real world performance so that we can use scipy's optimization routine to derive simulated PVUSA coefficients. You will need to install scipy to run these functions.\n", + "\n", + "Here's one PVUSA reference:\n", + "\n", + "http://www.nrel.gov/docs/fy09osti/45376.pdf\n" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def pvusa(pvusa_data, a, b, c, d):\n", + " \"\"\"\n", + " Calculates system power according to the PVUSA equation\n", + " \n", + " P = I * (a + b*I + c*W + d*T)\n", + " \n", + " where\n", + " P is the output power,\n", + " I is the plane of array irradiance,\n", + " W is the wind speed, and\n", + " T is the temperature\n", + " \n", + " Parameters\n", + " ----------\n", + " pvusa_data : pd.DataFrame\n", + " Must contain the columns 'I', 'W', and 'T'\n", + " a : float\n", + " I coefficient\n", + " b : float\n", + " I*I coefficient\n", + " c : float\n", + " I*W coefficient\n", + " d : float\n", + " I*T coefficient\n", + " \n", + " Returns\n", + " -------\n", + " power : pd.Series\n", + " Power calculated using the PVUSA model.\n", + " \"\"\"\n", + " return pvusa_data['I'] * (a + b*pvusa_data['I'] + c*pvusa_data['W'] + d*pvusa_data['T'])" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "from scipy import optimize" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "pvusa_data_temp = pd.DataFrame()\n", + "nonnull_idx = ~poa_irrad.poa_global.isnull()\n", + "pvusa_data_temp['I'] = poa_irrad.poa_global\n", + "pvusa_data_temp['W'] = wnd_spd\n", + "pvusa_data_temp['T'] = temperature\n", + "pvusa_data = pvusa_data_temp[nonnull_idx]" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "optimized coefs:\n", + "[ 1.87434003e-01 -1.58814681e-05 1.00000000e-03 1.00000000e-03]\n", + "covariances:\n", + "[[ inf inf inf inf]\n", + " [ inf inf inf inf]\n", + " [ inf inf inf inf]\n", + " [ inf inf inf inf]]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\scipy\\optimize\\minpack.py:604: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " category=OptimizeWarning)\n" + ] + } + ], + "source": [ + "popt, pcov = optimize.curve_fit(pvusa, pvusa_data, p_acs.sapm[nonnull_idx].values, p0=(.0001,0.0001,.001,.001))\n", + "print('optimized coefs:\\n{}'.format(popt))\n", + "print('covariances:\\n{}'.format(pcov))" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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OHDigjRs36vDhw5oyZcrFjwIATIzQCsAsnnvuOf31r38ts4LAqFGj1KlTJz35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\nwRUAAAAh4f8BqlA2fYPU7UEAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "power_pvusa = pvusa(pvusa_data, *popt)\n", + "\n", + "fig, ax = sapm_other_scatter(temperature[nonnull_idx], power_pvusa, clabel='Temperature (deg C)',\n", + " aspect_equal=True, xlabel='PVUSA (W)')\n", + "\n", + "maxmax = max(ax.get_xlim()[1], ax.get_ylim()[1])\n", + "ax.set_ylim(None, maxmax)\n", + "ax.set_xlim(None, maxmax)\n", + "ax.plot(np.arange(maxmax), np.arange(maxmax), 'r')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.4.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/docs/tutorials/notebooks/tmy_to_power.ipynb b/docs/tutorials/notebooks/tmy_to_power.ipynb index 609f92ef60..de42ab93b7 100644 --- a/docs/tutorials/notebooks/tmy_to_power.ipynb +++ b/docs/tutorials/notebooks/tmy_to_power.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 1, "metadata": { "collapsed": false }, @@ -93,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 2, "metadata": { "collapsed": false }, @@ -130,7 +130,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 3, "metadata": { "collapsed": false }, @@ -368,7 +368,7 @@ "[5 rows x 66 columns]" ] }, - "execution_count": 21, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -393,7 +393,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 4, "metadata": { "collapsed": false }, @@ -401,18 +401,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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/y0xn6JnCcz8nzy3JuPf5+nwooq1seuCEMUIKJ5fRyWUTg7mY/sY3voGVK1fi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\nAP748k7c/2r2FyRCBWp9oWSuXh3pzzYhWFTLhj1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EtEXhOA7RWFzRNfE4h1hc2TVWQelA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\nohgxmCYiIiIiitFf4fkcO7jjQp8AAAAASUVORK5CYII=\n", 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2eb5+lp3OwDOF535OnVuade/z9flwVFvZ9MAJY4QUTi6jk8smBnMxfc0112DF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\nESWIwTQRERERUYL+AoHxGL1w8nuSAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -453,7 +453,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 5, "metadata": { "collapsed": false }, @@ -495,26 +495,44 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DatetimeIndex(['2015-01-01 00:30:00-09:00', '2015-01-01 01:30:00-09:00',\n", + " '2015-01-01 02:30:00-09:00', '2015-01-01 03:30:00-09:00',\n", + " '2015-01-01 04:30:00-09:00', '2015-01-01 05:30:00-09:00',\n", + " '2015-01-01 06:30:00-09:00', '2015-01-01 07:30:00-09:00',\n", + " '2015-01-01 08:30:00-09:00', '2015-01-01 09:30:00-09:00', \n", + " ...\n", + " '2015-12-31 14:30:00-09:00', '2015-12-31 15:30:00-09:00',\n", + " '2015-12-31 16:30:00-09:00', '2015-12-31 17:30:00-09:00',\n", + " '2015-12-31 18:30:00-09:00', '2015-12-31 19:30:00-09:00',\n", + " '2015-12-31 20:30:00-09:00', '2015-12-31 21:30:00-09:00',\n", + " '2015-12-31 22:30:00-09:00', '2014-12-31 23:30:00-09:00'],\n", + " dtype='datetime64[ns]', name='Time', length=8760, freq=None, tz='pytz.FixedOffset(-540)')\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 24, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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27rWclFqmRURERM4hsUyGH3a1EzVNhtIpri4o5s1IiJhpYlkWB2Mx/qK2np/1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\nH+jTpw8aj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JLdMiIiIip5BENsv93R3ETZOhTJpLC0t4IxYhYZpYlsXeRIKb6xp4rK+Xj1dU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\nEAThCYlgWhAEQRAEQRCe0P8DPL8cCOnLx7kAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -522,6 +540,7 @@ } ], "source": [ + "print(tmy_data.index)\n", "solpos = pvlib.solarposition.get_solarposition(tmy_data.index, sand_point)\n", "\n", "solpos.plot()" @@ -545,7 +564,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 7, "metadata": { "collapsed": false }, @@ -553,18 +572,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 25, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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NDQ0cOHCAPXv2sHjxYgoKChg9ejSTJ09mzpw59swpvZSnuzOzxvUnu7CGgtI6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\nFUhgLYQQQgghRCuQwFoIIYQQQohW8H8ebuENlDcqLAAAAABJRU5ErkJggg==\n", 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hw4fZv38/y5Yto6CggLFjxzJt2jQuu+wyW+aUfsrd1ZG5EwaSVVRLQVk99z7z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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -593,7 +612,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 8, "metadata": { "collapsed": false }, @@ -601,18 +620,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 26, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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PtC6eh+ySOsNW+4xOxTL4/3+xCf978fm4+Jz51gqnAdWKzKMKjyD8wk/+sAec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\ngwcP1vpAGn7/ENvQ0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TD7QunofskjrDVvuMTscy+P9+vgn/tvQjuOCshdYKpwHVisyjCo8g/MKPf78H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\nHXfcwapVq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21:30:00-09:00 0\n", + "2015-01-01 22:30:00-09:00 0\n", + "2015-01-01 23:30:00-09:00 0\n", + "2015-01-02 00:30:00-09:00 0\n", + "2015-01-02 01:30:00-09:00 0\n", + "2015-01-02 02:30:00-09:00 0\n", + "2015-01-02 03:30:00-09:00 0\n", + "2015-01-02 04:30:00-09:00 0\n", + "2015-01-02 05:30:00-09:00 0\n", + " ... \n", + "2015-12-30 18:30:00-09:00 0\n", + "2015-12-30 19:30:00-09:00 0\n", + "2015-12-30 20:30:00-09:00 0\n", + "2015-12-30 21:30:00-09:00 0\n", + "2015-12-30 22:30:00-09:00 0\n", + "2015-12-30 23:30:00-09:00 0\n", + "2015-12-31 00:30:00-09:00 0\n", + "2015-12-31 01:30:00-09:00 0\n", + "2015-12-31 02:30:00-09:00 0\n", + "2015-12-31 03:30:00-09:00 0\n", + "2015-12-31 04:30:00-09:00 0\n", + "2015-12-31 05:30:00-09:00 0\n", + "2015-12-31 06:30:00-09:00 0\n", + "2015-12-31 07:30:00-09:00 0\n", + "2015-12-31 08:30:00-09:00 0\n", + "2015-12-31 09:30:00-09:00 0\n", + "2015-12-31 10:30:00-09:00 57\n", + "2015-12-31 11:30:00-09:00 132\n", + "2015-12-31 12:30:00-09:00 531\n", + "2015-12-31 13:30:00-09:00 583\n", + "2015-12-31 14:30:00-09:00 566\n", + "2015-12-31 15:30:00-09:00 474\n", + "2015-12-31 16:30:00-09:00 267\n", + "2015-12-31 17:30:00-09:00 33\n", + "2015-12-31 18:30:00-09:00 0\n", + "2015-12-31 19:30:00-09:00 0\n", + "2015-12-31 20:30:00-09:00 0\n", + "2015-12-31 21:30:00-09:00 0\n", + "2015-12-31 22:30:00-09:00 0\n", + "2014-12-31 23:30:00-09:00 0\n", + "Name: DNI, dtype: int64" ] }, - "execution_count": 27, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tmy_data['DNI']" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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IWcVD7E9efwCBoISuvqXDso1MPb4AtpXWK57PyK1pbOtSP3Mc+/1wZQsOVTSr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YfWLEZGRpiamhIaGoqTkxO+vr48+eSTBAYG0r17d63cZfheGRoaYmpqyrFjx/D19aWiooJ58+bh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\n", 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VPMT+5PUHEAhK6BpaOy3byNTjC2BHaYPi+Yzcmqb2bvUzx7HfD1e14lBFi/p1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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -695,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -703,18 +806,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 28, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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6/TKNUVdoA0EQOsV0Xl4eSktLAcS2Al+wYAFuueUWHDlyhIlxBMED1XUdePb9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Z3p1KkTu3fv5tatW7z44ov069dPnsCm7fT09Dh79iy3b9+mb9++FBcX0759e86fP09OTg5RUVG4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\n", 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DrBhvO+5uSC8MBJEdkJgmCJM5dKwHAFDX3Jv55EGhYuaYzOPKeHafkqek/Yyqdy1ietzI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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -739,7 +842,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 12, "metadata": { "collapsed": false }, @@ -747,18 +850,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 29, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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S2UREREREolpYM9MPPPAAOTk59O3bl6VLlzJmzBimT58eqWwiIiIiIlGtWTPT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hkcomIiIiIhLVwpqZfvDBB8nNzaVPnz68+uqrjB07lpkzZ0Yqm4iIiIhIVGvW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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -790,7 +893,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 13, "metadata": { "collapsed": false }, @@ -798,18 +901,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 30, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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eSFkAmlalub3LsPfJxmNHYd63VzmhBMjCK6bSp5mKpH57LirXrELxe+/yjmMv\nOovSJR/BbbWGDeuurwcA6SvWBEGIgtztEYQeCLE6VPvN12g8clha+lH5WVedMnlNI6LJPWHxO3PR\neOQQ6z3G6UTdj1uRdu11iElOab5eNOdNxeRhlGhLnfZ517kDnuxnC3nHKZo3B25TA+I7XYB2w/4e\nOrBM5Y6m/k4QakIr1gShdwJtRcVMnPrUMbjRkVJUOHsmCmZNb/oRJcoGl1INAJ7GRlT8ZznKP/tU\nRYmIULgbLQAAxqHMRkWCIOSDFGuC0DshlLnI8/bBEx2Vy372LBwlJX7XorbefbCf5eca0H62ULrZ\nRZjq9DidvMwgCH44KytxZuZ0WE+c0FoUgog6SLEmWjxusxn24mKtxeBGlkVSNs0lfMKMx4OKVSth\nPXVKDiFkgv8x8IQEeNZvwcszUbXhc0VFOf38JOQ/OUHRPCIBQS90IV7Iq//3FRwlxShZ+D5sZ860\niBdFglALUqyJFs+p5yehYNZ0eHT7mTWUAsxzQhQ5cTYeOoi6Ld/j7OuzRcUXjVITfXRYcqiCs7IC\np1+YAmdteO8Vpj2/S8uMq73PXQ70fBGp1ORshk3ES6oQe2chrirdpgYUvvoSzFLbjyCIZkixJlo8\nXrtFIbvobQVnYCs4o5BE+oFxObUWgQXG5//q0tI2dDkrylG/bYvWYohDZ6uwjrIyVG1Yd96+XUxf\n8ilTOAVaSF+15Z8ULgtBEKyQYk0Q5xBiJ1r4yksofOWl5t+mvD1w1lQrIFUYeOoOdbb6EGmESMSg\nvyGiwWEGANTY5PEDTOgBJZRgfSnWjEInJCpGC3uJJAi5IHd7BOHFLc5PtL24GKUL34chIQE9P/hI\nZqEgywTnYkRuLjPqT7G2u+1IAmBxNqqed/Mqob50NgJNbeOqrdFaDPXQ2Yo8QRBN6G/WJAiNYNzi\njkB2mxqa4tvZT/Xz2KxwNTSIliskPCdXscc7GzRSrEN/5jbwCMMVU9pLSlljBQDAg+g/LlsQHG3h\nKC+Hy8Sj73M1pYA2rt64Puh470jFY7ej8LXZMO3a2XRBwsu1s6YGttN62nxMENENKdYEoTAnn5qI\nU5OeChlGadtd1gM4+GSp1Yp1SPOU5kBqSOJHvaNpE50kLwoqfmJnGAa2wgJ4nNrYyp+ZPgWnng3d\n9+Wi/udc/wsRvKDbePggbKdPofTjRdyBePbB089PQuFrs0ObupHZB0HIBpmCEIRUwk1KIleLeafP\nA4YRuWLgi5MRAAAgAElEQVSt4wlXiy/hUle8AagmeO3338Jjs6H6y41IG3AtLnjscVXyFYPY/hk6\nzQjWrKXsbeAoN+PxwBATI0AG/T77BKFnaMWaIJrRcCIWNIkJlzPkkdEhrS6Um1wtB/fDVR9iUyUn\n2k343urQu8rhrKpE5ZpVqP5yIwDAtHuXxhKFRgt7eV1j5OhhMvmxJghCOUixJggvYvVqhSewkKvG\nfCdanS3e2YvOovjdd1D46suC43prI+TLQrjIopGhrVVQePTrk10Ywto4MKzOOr0AgvY2COkzkbxS\nTxBRACnWBNEi0NfqlffAD04vDjpVDuQ5BFOfZZOExCJxvTw6RXrqiXg4TUGErFgLyU9AWIIgQkKK\nNUFIRFs7ZH4TrUFvuhyLracnAvz86q0aOYkYQZvg6p9mp1ldQXQAwzC8vPEobkMeMK7Zz55F8Qfv\nwW1ueW1CEEKgzYsEIRmFFWsZFHe9m1taDh1EcfZcnyvcSgPjtXOO1JVfvTeGJihQJ3rvHhz9IP+p\nEJtMVSyT2+P/taD4vXfgqq1FTYcOyBg5ilcaDbt+Q/2P29Bl0mQYYkndIFoG1NMJohmdzsQymFiz\nYXU1+d12iz08RgoBgjf8uj3gPo8kxOQrUakVZdetCfLJKdYHuhAMHPJKqu8IffHyWK3BF9n6rcLl\nK7KUwve7kuecn37GxX+8KPv4QwCA9cRxJF9+hZziEYRuIVMQgtABtfY6RdNn+9R+pqEQAGBz2RTN\nmxUJSgGt96qL7cxpHqEiU4mNOAQ9N1KNrM9fq/kmB57GRhEyhMZtMkW2W0SCYIEUa4LwInaAl0HT\nq7GJVKwlKah6UlH9ZQk12UqbhuUps+5s1gORU1lRQfHhyqKl6Vzc/V5bryBV69ZKis9WLsvhQ8h/\n9klUf/WFpLQJQm+QYk0QUpHBZtbD4wjvZkTMm2yf1L2bLluY7tIykLNRNdRuuUxEtMR64jgshw8p\nk7icdR0wLlWsXI7arT/wj86pzIsZgFgU6z/2AQDqfvhOeHoEoWPIxpogdACDEHasIRV3vn6sWRRr\nfjE1gc9JfLpfNY4W+Ch7UttCgZMXleLsW68DAHotWaZ63n7VLFAJb9j+M4Cf0ebmv8gpEj/YZNXz\nAEQQEqAVa4KQihxHjssghnA0nNnCuBOrbKwKcde70i6m1qTVdOTo8ipLKrErcUkrqBRB58PovLXY\n5OOQWRNHMjIc/hg6UrD5l5tt4yZBRBikWBPEObSch0VnzXvBms0URGym0gny/R1o7aJYY0grtFp2\n6Y7ycpR9skSUz+CqL9aj/D/LFZAqFLT8KBS3mFV6n+ci3DNSZa0Wnr5C8HmeSz9aiPwnJ8BVV6uC\nRAShHGQKQhDN6HyFSwo8VozUJXTeikkWIfpf6YcfwH62EMbEBHQYc5+guDWbN8kqixpeG7i+Pkgz\n99Hb8xz6ZRIA99u9iLfgaivHqaa805fRxjpUnHNlNv++GwBgLy4GenYVkQdB6ANSrAnCC4/5onTJ\nR7AXFgRcleEAl1D3OCZVt9kMe9FZXunrTcWIdJTWz90WCwDAY7MrnBMP+CjWUitEDuVd9y9NcjyF\nOniS5dKrvZunI82EhyDCQIo1QTQTfkA3/bYj6BrfxSRnVSUAIK59Bstd4VrBqSn/BmPnq3hxly3J\n5kb5imXIuHs0jAkJgmRgGAZwu0WcqhYgT6ScRihCTFthAUy7dwmMpSPlQg1FJ0p0TqnI+XWAkfpM\ncS5Yy+MVJEKeeIIQDCnWBOFFtB9rflPE6amTAYjwJsCRPn+lOjz1P/2IuA4d0fbW2wXFK5rzJqzH\nj6Hn4k85V9ZbOoWzZ4mPHCl1ek5Oe3ERTDt/Q7vh/4IhzAZVPkhRM/W38MmnLcMI7XubpYB6OWzF\nfrYQdT9uPX9BkD25PspAEGKhzYsEIRkZlB+F9Sc+E64YRd16/Jg3A1nlCWlba/D7RyARoqh60YWi\nxF+GgpdmoCZnMyx/7BWYA4eNtaBU9I54t4VOxgUAqLPXc0Z1lJXhxCMPNf+W+qIrxY914WuzUf/T\nj2Ey8KYvbx93mRpw9u03YD15QtZ0CYIvpFgThBex47scs7/S+pMuFDRugiZxPjqIvosEAGg8dlRr\nESTDeMJXdHP7nWsUj80mMJMIaEwJ1G39QdKhMk5Pk2Ltd0JrQJ2ZfhdqbqQcjMvl/zvU3unAmxK7\nQu1338J6/BiK3pnDer/y8zWo+TpHWiYEEQIyBSGIZiJkctejEqJHmVhQ01zFUVGBojlvSkskUkxB\ndEDQqrdKfdJjs8KQkMjZtxiGQcV//8MvMSkyC4jrZlzhA3HmIz6qKnjOmZ1w1Eftt18DANre/je1\nJCJaGKoq1h6PB9OnT8eZM2dgNBrxyiuvICYmBlOnToXRaETPnj0xa9YsGAwGrF27FmvWrEFsbCwm\nTJiAIUOGqCkq0QIRbZ8oh/IjIAlRUvIxBVFpUmclsPx6PVZRQFu767k/20cUqngFkRhfIxwVFTjz\nwvNIzxqMTg+OUz5DPz/W3PfCUWQqRRvfCyz9WtZ3OgGy6cVOnCDEoqpivX37dlitVqxatQq//vor\nsrOz4XK5MGnSJAwYMACzZs3Cli1b0L9/f6xYsQIbNmyA3W7H6NGjMWjQIMTHx6spLtHCcHpcSNQo\nbyFzWKW1Gh0Uk0QlwtlYK2VdSwvAwhHlBUJocOnKlFqH9/hiO3USANCwPVcexVqCUhmkkIbQjF0e\nHivWnPHlUnz9zYdkT5++9hAaoaqNdWJiIkwmExiGgclkQlxcHA4dOoQBAwYAAAYPHoxff/0VBw4c\nQGZmJuLi4pCamopu3brh2LFjaopKtECcbqdmeQtxjWVxWhSURBxyrzLxSc8QqcucUYk0JYazvSX1\nK524CRRUhnBhGY6/IxCuMS/Ci0UQqirWmZmZcDgcuO222zBz5kzcd999fgNqSkoKTCYTzGYz0tLS\n/K6bRRztSxBC4LWKowUBE5AYJZYRc3yysBwEBpewMifzQhTjdqP040WwHNgvb8JSUEC5MO3ZHbSp\njJ8skaHpyLHqrTXS3iPUKb/bJGYuDn/yIudvgogwVFWslyxZgszMTHz77bf48ssvMWXKFLh8Bnqz\n2Yz09HSkpqbCYjm/KmexWJCenq6mqIRKMC4XXDqxRfUwbvbrztAr2XJsiBOSghgFQvETzeWeC1Wc\nXBuPHIJp104Uz39HtTx5I2MblS76ADVf/09wvKTevcMHkvoMkDLFj5B+rNXZI2Heu0d8PgTRAlDV\nxtpqtSIlJQUAkJ6eDpfLhSuuuAK7du3Ctddei9zcXFx//fXo168fsrOz4XA4YLfbkZ+fj549e4ZM\nu02bZMTGxqhRDM3IyEgLHyiCyMhIwx//fh7mk/m4buVniE1N1USO4+f+TU9LDKrjxsKz2PvkM+hy\n913oNnZ0c1gvGRlpsJhTUODzGwF/s8UJzDs+Ppb1ekZGGmwpCaj2iR8Ta0RGRlpQuqHST01NCCpb\nbIz/85KSEhymviwZRTzK1r59KmIEnNpYV5rkl25dYjwa/GSJ5+zvXltag9HI+5nwypmWnhQcx2cU\nDJVeRkYa4uJieIUFgIbKJLAdOJ96rp69MrVrnQhjXJxfmDPGpjImJsQJfu65+gUAMKVFIe6y07rr\nhSH7GwDExBj8wqSlJ/r9DlcGd0OyXx9vxmBgzZstvVMGA3y/y6SnJaG9AmOmb5mY9ESUhZAJaPoi\nwuVROTCOy2JEPkuYJlMxBrFxMc1xXD6LTxkZaWhMjEONT7y4+BjOuouJ8V9Tq/0mB1dMGO93rSQt\nCWxr0ymXXIK40jNo1edKzkOAAvO0Gy3oHlBWS3I8an1kah6H05Oar4nBm66BIw2+fVIN9CCDUkRz\n2cKhqmI9fvx4TJs2DWPGjIHL5cK///1vXHnllZgxYwacTid69OiB2267DQaDAffffz/GjBkDj8eD\nSZMmhd24WFvbqFIptCEjIw2VlSatxZANb3nMJ5umkbKTRUi48EJNZaprsCI5oI5rcpuOMC9auw7J\nQ4cFxamsNMHu0/e8bRSqvdiuOxxu1uuVlSZYLP4Ht7ic7GFDpW822YKuu9z+K/QWiz0oTGMdv7JV\nVZpgTHBwyhRIY73VL12bzf+rgNkcLIsX74q9x+0J+0w4a2pgO3VeVTE12GAIiGNq8JcFYJ8UKitN\ncDrdQWG5sNaxj0nmgHouP1OG2Nat/cJ4zvmOttmcsj73dhv/NvJiMQf3nUDcHsYvTGA9h4tfW8dh\nXsAwnM9FIJ6AVdeGBisYBcfMykoTTA02v99sMB5uM6zAOO7G4P0TTWGayub77LdJMvqFaWz0b1un\nk/35qKw0we0OlikwrNnE7ovccvo0Ds14CZ0eeQzp113PGiaQ6npT8NhibXrmmYA2bqhvRDsWefji\nrQcmTBq+91wNDaj/aRva/HUojIlJovIVSrTN6b5Ec9m8hHpxUFWxTk9PxwcffBB0fcWKFUHXRo4c\niZEjR6ohFkFoj9InLyqbvPBP+WHD8zh6kQcFs6bDYz2vOLNFFWRao7anAbntyXkc9hKxaGJOInOe\nnMk1rVgbQpRRbTd19sICgKdizVYwxX3KC6iPsk+WoPHgfnisVmTcPUpBoYiWAC8ba5PJhEOHDuHI\nkSMwmaL7LYRowWhq5xlikpFlAmJbNdORkXXgBk1pqTXjp1TrFhX7nYhNrPwUNqk21tKiq5iocISM\nKxxhHXFN9Wu0+37ZCbPpL2STaF83Hs6+KNNYIqDenZUVAABXbU2YkMFYDh9C7ZbvBccjopeQK9Y/\n/fQTlixZgpMnT6JTp06IjY1FaWkpunfvjvHjx+PPf/6zWnISBCEF0ce181OYfOcwZ3U16nN/RNu/\nDYNRgN01Z4LcgQQn6ygpgbOqEnHtM5qvKef/mD1dk8OMtgrlGJZoXrGWwXuOXvF4l8BClUnu8sq4\noszWFoWmYqQjlIIdGRSfOzq99ZCbYYiJ7n1eBD84FeupU6eiXbt2mDlzZtDGwePHj2PdunXYtGkT\n5s6dq7iQREsggidBuT/XB0xCsigIYpPgm7dPuJIF82E/WwhDfDza3XEnv/iBdahQd6jJ2YyanM3o\ntWSZT1ZK9T32dMss5ejmG0rNBWuVlBihfZZTLgl1U2aphC58SSnUwMF1HPg71MCkskkTSxVY3bam\n9gka71SRSH4iVnBCbjgV62eeeQadOnVivderVy+88MILKC0tVUwwglAb0QpW4EqZxwNnfT2EeLMM\nNc0VmUuQLE6y8zIp/uJyPn1nVSUAwB3CbCys4qXTSSriz3ILsZFOEjqsGA+jU7/05xDVw0NFkt3l\npUaJyfXsC1lxl6H/Mgyjx8eA0ADOmb9Tp044fPgwtm7dGmRXvW3bNgDABRdcoKx0RAtCB0OSTAN6\nyYL52HX/ODhrWB2IsROi+A0O/+dPlJIstmx8JyfZ93DpU7FWBNa2Uaj8oo4n1/AEQ0EO3gNtjsUK\noz9YVbagBWttNWu32RzCA4oGjSHqIC1JGUqJTEQRnIr1Z599hsmTJ2Pt2rW49dZbsWPHjuZ78+fP\nV0U4gtAcHiNtYBDL/j8AAI6SYgEZ6eizrRh8K4HP7BQURiVbEJmxFxfBcuig1mIoC4+mcNXX+f0W\n6vGB80VKQjdQxehFR91UiCEILwS0oauuDvnPPIGS99+Fs4ZlAyDrAVXn/NEH3VOmUqs2rEP5f5aL\njs8wDMz79sLdyOHaN5r3LxCC4DQF+fzzz7Fu3TokJSUhLy8PTz31FLKzszFgwAA15SMI9RA5LpY2\nlrFeF+3aTNDufr5JajDoS9n8JI+3PVnx2O1B1wpmvQgAfjbbYQnSgNQrkFL9oNHIfmopf5SQKwIV\nHUFuKANX6ANeJVTsV46yJrNQy4H9OP38JNXyDUlA+WtyNktKzvz7bpR+tBDJV1yJLpMmBwfQqfka\noT6cK9YGgwFJSU2O0jMzM/HOO+/gmWeewfHjoc7fIgix6HRQ4jE5OT1cR57LUyblvFbIiMyTiqq9\nge/+TJcLimj1IesuAtoegCnVf42GS4FnezlpCi8sP15mVtGk6PDpBoKKq33dcI5rUkUT0e7nZeGO\naz/3BbLx8CGujAXnS0QnnIp1ZmYmnn32WeTnN51adu2112LWrFl46KGHUFbGvkJHEJENy8AoxYev\nkBVrpfUnhZUM30/50aTPRB2iGkeeBrUcOoiTEx9D7Q/fSc7CVVcXdE2v7vXklMvPbCLIplzeL12C\nXujDlDHUnongXDTYvCiQiv+uCDJ5ierDlwhBcCrWM2fOxKBBg2A2nz9qdujQoVi0aBEyMzNVEY5o\nSUTGypwgBEyoQiaxYJtEmdCVYqKiLJp3PT3VOwsy9QvT7p0AgNpvv2HLhCtz3unb3P6r4UpvgNWf\nIi9EHh6dXmlTEq7k5apWBdunbusWlH2yODBDxfIjIgtOxdrtdqNDhw7o16+f3/V+/fph4cKFigtG\nEGojfliUPkMoPyQrnINP8rzmYz0pJToSRXH0VO9+SJcrUJFWQ/GVO49wLwOMz7MVmDXbKr6iCPGg\nx3qVyxQkMvaDuBsa/C/QijVxDk7F2mQy4T//+Q+effZZHDhwQE2ZCEITuF1FhYbLA4JcnwY7/hRZ\nz58s59nwSSNi5zEt3cIJz8zpEeMPms2sSlDoMGj+mUFAR1fGFCRQqTfn7fEPK/mYeWU7plItqNiX\nirAH8hBEE5yK9dy5c1FQUACn04kuXbqoKRNBRBacqx36GXhZV9Y0+tLbhBDvBy0PxVZbRSSbX3da\nXhnYOoYMxQ00kWrZPQjQ+AEXjVTFuNRSDgBwMVI91QhDrVNNCf3DqVi/9NJL6N27N8aNG4dGLr+N\nBBHt8BjjOecXIXsXDSG+8QYlK5fKIKPvaN2aGGiH/mxwxeERpTAYuMvPelmQsQA/9K7oSFZMI6h/\nqfgsWJxN+opH9sOQ6M2N4AenH+uEhAS8+OKL6Nixo5ryEIRmiFVYOQ/D0JFipa6SxyMv/VSN+mhY\ndlH9QBVb5chIU1QGQuQIE1bIGMWEVNz5rBgobW5zPv3jDz94/rIWz4eYoupofCf0BeeKtdPpxPTp\n07Fs2TIcPBjlJ4sRhAKE+jTocTpQMHuWitLwQcpEymZqIiC9oKA6exHQCj2YEstdPzKUScWzT8Kg\nTt9hX+TXcb/lhXRPMKrC03qNz8urvaQE1tJS6TIRuoRTsZ44cSIKCgqwe/duXHnllWrKRBCaIH5V\nV/iKtfXECdgLC3yS4G8KEg2Eq2t+VaCF9wD2y9K+CKhYDlEr1qIyEpR3RNqn6vw5FXqsfFB8meRQ\nHRHt4n1+Qz7HPOvz5BMTULJoQcgwBTNfQN7/PcFbPiKy4FSsFyxYgC5duuCqq67C4cOH1ZSJ0BDG\n44F5bx7cVqvWoqiOzGp1mMwC7fWU9rnLR3HRj6KgtA/iFosYpUP2tlBLZdNJH5Lz2Q7hFSShew/5\n8lEB7pMX1W+3eocJAFDRWMUdKECxDnwu3J6mzZKM3Qbznt/lFZCIKDhtrOPi4vDaa6+hc+fOaspD\naIxp128oW/IxUvr2w4VPT1IxZ51MgmoRpOgqrGwobm8qcwQ9rgYKbCLuFUN1X6rUQJhrNwGr2VyX\nI7/K2OEoGJ/abYhzI4F3RtLHG8btAeN2wxATEz6szsd3h8eJZABWl4AFJX0XidAQTsXaYDCgc+fO\nyM/Px9q1a9EQ4Az9jTfeUFw4Qn0cZU12X5aDkeU7WRZYJzU+o6fwSSrQx7XyNqMiZwH9GLP6oJFM\nTCgPMEzwila0aH9RUoxIQJgC6h/W5XEJUKzDE+7Rr/vhOzRsz8WlCz6UMVfI0N+0GR8YRKA5E6EI\nnIq1lyeeeAJ33HEHLrvssuaJQqrtFqFfDDHnuoTqSkHk9ilRj0NQ/eq0/GIOweATJ+yCtc7tjpVG\nKZHUNAXhzEshR9YqwzCMzsRWf0zx2Gyi48ohneXQQTirKtH6zzf5XFWrUfzz0eMwQmhDWMW6VatW\neOIJMrJvKfD5rBe9yDsyNuzYAUdZGUdWAXkpbQkSKS6szhHVc5SmhRO/sUvvJDj8VwwjRW5fuF5i\n2FznBZdPojmOgrA3hXQb6+LsuQDgp1hrtUShd3MXQj3CKtb//Oc/kZ2djYEDByI29nzwAQMGKCoY\noRFGzv2s0Y/M42Ljwf1oPLifIy8Jnw3l8tLAB57L8YJ1mLARdDhJyTRjGzxNtqlq5BVIoAkSH+T7\nQBkib8G2xXroH0o435YSQG7zMqVVVPayVFmrIcs2TJXFZzxkCkI0EVax3rVrFw4cOIC8vDy/6ytW\nrFBMKKIlooeJUiQiRG88ejTgik5NQbRCBnMS2WEAOdqp9U/7cGrvs82/TQ4z2iKDJS+9oHzfFL73\nVVcVFBqlZI1SPc7hdsqTkNzVHtSOAaYgYCLyKwkhP2EV64MHD+Lbb78lu2qiZcJjoBTmEaEJt8Uc\nIssweUbMKWHRZQtiPXEcsQ0WWdJy+24GD+k6Vw/jrlyNEaIskaiQ6EzkYHHU6Tv1v2yHaeeO0IFY\nRWGXT1OTCgFZWxyN/lEjsQ8TihD2u3+vXr1w7NgxNWQhdEbVFxvgCvAG46Xs06Woy/1Rxtz0oEAI\nXwKy5p8ERPj8TurZS3CcZtQ0BeGdvFiPKk0EKpB6tFcsWTAfrfbly56uqt4E1FLUWZtP5TZVRdGR\nNw9u5ayp3Qx+t6W8gPPpB/z6SvmnS9B4+BCvsHxSl61G5e7qAc+Ow+3w+63HMYvQhrAr1oWFhfjn\nP/+J9u3bIy4uDkDTJLhlyxbFhSO0pWbzV7AXF+HCiU/5XWdcLjT88jMafvkZrQcP0UY4tQijiJx9\n41WxCYuMpyBqzgvhlB5eSpGOJrJIWa3Sg5ysTkGE+bHWBWI85vhdZd2RyB5WzHDh1retiL7t5/kQ\nbApCEEAIxdpsNiM1NRULFy6kTxwtGFd1tdYiqAfroqsWfV/+PJV/htnSF//yoGqtazy86X94lekl\nMNTeRXlyUCVV3RCm47TZsgcYLT55zV79NXwgDCI22J6/HeX9jeANp2L99NNPg2EYDBw4EIMHD8Zl\nl12mplxEi4P/oOQoLwfjcCDhoosUlEddxNhpq4Jik4UEryA6rSp50dEkLUaUFtFG8hNu1VNIU4Ru\nAh31rwjBzYTx5MMD8769sBedlUEaQs9wKtZLly6FxWLBb7/9htWrV+Po0aPo3r07/vznP+OGG25A\namqqmnISekLjDVVnpk8BAPRaskxTOWRFiyrlkWeRqUR4uiKUcavL7p8En2wE56Igkl5AguM63U4Y\nATTYTegoIWXNEPgBIyJX+xh+XiCUKlpE1pkKSHsS/TupvaQEcLuQcFFXFDYUoVWojBgmbGOXLJgv\nQToiUghpY52SkoJbbrkFt9xyCwAgPz8fubm5ePbZZ7F48WJVBCRUJlBp1oVXApVgGRTr7SaVMle2\nngMnYdZJmeWa3e3gd0wyqyLFv0yVjVUBkxYfbyxRAktRbW47kgGUN1aip+oCCYeX95KQLpi18Akt\nnRJzafiNSgJoUaqyUmb1MlZiwcwXADQt4rg8/ivWqWYnzs59S77MiKiBc0y4+eabkZWVhUGDBmHQ\noEFIT09Hjx490KNHDzz00ENqykhoiWqrIvpUkyqtVWitRka+xVeiyn3SZDwenJjwCDqEO6QEgFGh\nFytabGvBCOhTKY0u1Of+FHTd6rIiKVxkFfYVONxOWRVr7qyYc/+cf2YV3yynzyGZN6JqxxDy7S/o\nivXoETG5EFEOp7u9JUuWoG/fvti2bRvuuusujBw5Eu+++y52794Nl8ulpoyE3iCtSHbUnMMYlwtg\nU6pZFB6Dgd9JnGaHPP6dvfD6xC5fbrKlJHf+WkvWhMxSCBw/ypd/GnStDnaWkOrDS7kVUl4uryDn\n/q221fJPK0KRy8Ql3JhavfkrOKurZMmLIHzhfNnu3r07unfvjpEjRwIAysvLkZubi9mzZ6O4uDjo\nJEaCkIbwwdReUoz4Dh1hiJVnzShibBZFaeG+S9b8y2nkmZnV1Yg2AqRxBviADcomUtqiBcCrB4Q5\nlS5sdKHPvw5WUxlGgxcfhuNvRdBBJcuA5cB+VK5dHXS9+osNaPj1F1zyuq85R6gyR0d9EMoTUiOx\n2WzYtWsXtm/fjl27dsHj8WDgwIHIyspSSz5Ca3RsY10wczpSM69G58efDBuW8XhgMPJbfdUcrZRK\nlnyNHM1vzT8Jt8VnlVqgyDaXLZwwwhKUhLZ9PGRz6/fxC4C/T2bWMUVon1f1i4Z6cMnMy4+1hHGj\nqEMcgo6skrEC1T1BlPH5P1A8/x3OkM6KcsHpct+NxB5HKAGnYj1u3DicOXMGV111FW644QaMGzcO\nnTp1UlM2QkeY9uyGo7QU7Yb9XWtR/DDn7QkbxllZidPTJqPdP0eg3R13qiAVD4LmGXU3L/KHXa6Q\nB+PI8WLAIwn5aky6vAzDetyHavkTGsAwcLv5mEVKNwVhDxp4QIl4GlJiJMTmgaAxQebnISaG3fRN\nIPSUEnzhVKzr6+vRunVrdOrUCZ07d0a7du3UlIvQGaWLPgAANB45DLeJ/ZhzaSinWFoO7gcAVG9c\nrx/FOhC9rkwqNJuE89vd0icxXXUHcbvAWJIJYUuuiFcQ5XvRweojuEHWFEPLrGq/UDyz0PbkcmEw\nGsHIoFjLc1os0RLgVKzXr1+Pmpoa/PLLL9i4cSNmzJiBiy++GFlZWcjKykKPHj3UlJPQCdZjR7UW\nQRCmXTtR9+M28QlE42CpQJmEzsFhwytc7wzDqPx5mpuo6GKqV6Ue2o6BNaxJk9AUhQT2Dy2oRvTc\n5zR4IEI6A1EQd2MjjImJrGaKDb/9Cmv+SXQce78GkhFSCGl02rZtW9x555146623kJOTg6FDh2Lt\n2rUYNmyYWvIRKlNhqdQoZ2VGttKPF8FRXMRTBPVGV9U3SupOe9NYMeKoD4/TwXpdbfTUWuJaioff\ndF5Jz5sAACAASURBVL/7QpNXv4Y8TgccZaWC4zEedfzX6KnP6AoBL9ChbNnDvYiL6ZL5Tz2Os2+9\nznqvbMnHqN+2FR67PjzgEPzhXLFuaGjA3r17kZeXh7y8PBQUFKB///4YM2YMBg4cqKaMhIpU22qQ\nobUQLYAqa3XAFfU398galm1WCTkRBYYPcgvCL1+ZOTnhUXR5bgqQca3AmNLOewtED+uxShHODEg+\n5O1DRfPmwHbyhFLJNyUZRjtTt1/I+EIgxMxcrkwj5CGy5Z/UWgRCZjgV6yFDhiAzMxMDBw7E1KlT\ncfnll8MYKV4VCNEE+S3WyedyNVBzV7eb8YT+XBQKPS5NCfT0oJ5yxYMAMU27dgI3ClWsZRQgApFu\n2uMRmKP6deanVAM6/AokN0o/ozoaA1jQjftVvchB8IZTsd68eTM6d+4cMnJFRQU6dOggu1CEdih1\n0h4RGr9qV3gjly7G6bD7gBQWMlT6aj8DemgPJQisYxnb1J37GxqNrZDcq7dsaSqHQh4x5KxfTTYq\ncjoXVFIQxah+8204Mq9RIGVl68NVXwdjcjKMcfGK5tOS4Fw0e++995CdnY3Tp08H3cvPz8dbb72F\nt99+W1HhCPXRbiWxpSv0AsovoqpED818I0o0BVG99UMpIVzOu0Omd/5Pj92Os3PehGX/H8LTCUBX\nK/tKIlApZHbloejtNxQSRsf4HRATmQpoOCQXS65qEdonzWY05P4oU+bq4HE6cOrfz+DMjBe0FiWq\n4FyxfvPNN7Ft2zbMmDEDZ86cQYcOHRATE4OysjJ07doV48ePx8033yw4w48++gjbtm2D0+nEvffe\ni8zMTEydOhVGoxE9e/bErFmzYDAYsHbtWqxZswaxsbGYMGEChgwZIqWcRAjcFgvg8SAmLU1DKaJz\nktAP+qrfILMbXemP0oQx5/0O67GjEedBR1EYRvUvAbr5lC8ALpnZ13sDnyFdPUT+aOnHmk+9hPuC\n5vFoNoQq2Y09tiavNq6qpqPdPU4nGg8dRPKVfWCMi1Mu4ygn5MmLN910E2666SbU1dWhsLAQRqMR\nXbp0QevWrUVltnPnTuzduxerV69GY2MjlixZgu+++w6TJk3CgAEDMGvWLGzZsgX9+/fHihUrsGHD\nBtjtdowePRqDBg1CfDx9qlCC/KcnAgB6LVmmM/VLXeTcva9rVHBlJ0Mi4YNISv78gS4ext++V7J+\nIlAw1vpivP/I3FZaKpsseXuczqYJPAKVYN4yq1Q0+feI6FhRD8Dffab4euA65unEo+MQjSd5BH4R\nq9n0JWpyNqPNbX9Dxl13ayRV5BNSsfbSunVr0cq0L7/88gt69+6Nxx9/HGazGc8//zzWrVuHAQMG\nAAAGDx6MX375BUajEZmZmYiLi0NcXBy6deuGY8eOoW/fvpJlIAhd4je+KWFjLTJ9CQpPKPdUcrzE\nSPM9ez5yRWOgi0nhCoWrtgbxHUWeTKvnlUZAnu7o24/OFbfm269R9fkadJ0+M2Jf6HmdNC6jjXWo\nYUIrX8x8YBWN08RaAz/WCvVAt9mMqg3r0OavQ2FMSlYkD0kEjD3Wcx5KbKfytZAmauClWMtFTU0N\nSktL8dFHH+Hs2bP4v//7P7/VmpSUFJhMJpjNZqT5mCWkpKTAbDarKSohAnvRWVSuXY2ODz2MuDZt\ntBYnolDallbTzYC80E659DCM/2YTETbWpt270G7Y38UJwLB4xDB4/9GB0q2QCNUb1wMATHl7gEs6\nyp+B0l0eDHq17gFgX5iAHIIIqVcddIPIIbCyRO5fkWHMrNqwDvW5P6I+UmyvI/HLkQ5RVbFu06YN\nevTogdjYWFxyySVISEhARUVF832z2Yz09HSkpqbCYrE0X7dYLEhPTw+TdjJiY2MUk10PZGQoYwN9\n3Cf9hAT/LhEXF4OMjLTmMKFkypu1CNbiEli+/hI9n34ybL6+6SakGniXL1CWUPH4hPWGSUtNCLof\nH3++T1V88G5Y2ULVlW+YguR4+Lr9T0iMa87b1RiLkz5hA9OLjeXfJt4wSUk+6ZuNYFuP8A3jpSQ1\nEd5X2lD13Lp1SvP9E2jSaZKT4znjmFLjYfJJNzbWfx91QkIMZ1zvSrjBGL7PcNVR+3apiElIAAAU\nJsfD9/y85OSEkGl68W2DlNTEZlmYtESU8UqhiVatkoLLcW5+i4kxCn7uQ/W/wHrmQ7j+BjS1iW+Y\ntNQEtM9Ig9dBXfv2qahLjIMJ58vkvZecFAekJaJWsGTsfd1LYmJwf5ZCYPrt26UiNSmJVRZf7PFu\nBLsAYI8T60hG4BE0gWG8v00FNX7XjDHBCiRbu2VkpCEmJrgfBOZTmS6uTdhIZmmLuDj2+Tpx+x6U\ndvwWF9x+a9h0fecu77jg28czMtJw0hD6HSsjI6155TbGZ0xh3G6cCBEvHBkZaah28ztwKtS81L5d\nCmJTUiRIwo0zEc1zQdv0eJTFx8IKIC4+VvKzo5S+EgnwUqy/+uor5Ofn49FHH8X333+P4cOHi8rs\n6quvxvLly/HQQw+hvLwcNpsNAwcOxK5du3DttdciNzcX119/Pfr164fs7Gw4HA7Y7Xbk5+ejZ8+e\nIdOurW0UJVOkkJGRhspKU/iAEqisNMFud8H3EXY63SHz9b3ncjgBANZGe1hZA8tztqISaHWhaLnl\nCGsy24LuOxxueD/g1e0NszLFU5bKShOsjQ6/VVK7zdUc1221hkzP6eLfJl5sVsf59H1eWn1pbHQE\nxTWbz6uc3ntsA2Z9nbX5vncSY0vvfLrnXysqK01wufxXbW0+9RGId/Wd8TCin4mqShOMCY5zctr9\n2sJqdfJKwzdv37KaTMKOua6rsyKRoxwuj0fW5z6wnvnFCd3fgKaFLt8wJpMNBp/flZUm2GxN9ep2\ne4LqziywznzT5cJmcyo6ZlZVmWF3uMLK4mzg/toaGKeBZR4LDOP9neCjLlZWmuBmMa9ik6miogFu\nd3A/CAxrarAGhRFLozV4LHA63axhDZW1OPXhx4i9ZhDv9CsrGpqPBXe5mtJlwH889q7Uun3GFMbl\nChWNV7p2u/CxJJCqKjNiGoU/t3zwnQt+u3tM899OB/f4ywc19BWtCfXiEFaxnjNnDsrKynD48GGM\nGzcO69evx5EjRzBt2jTBggwZMgS7d+/GXXfdBY/Hg1mzZuHCCy/EjBkz4HQ60aNHD9x2220wGAy4\n//77MWbMGHg8HkyaNIk2LqpEuGNboxo1v4KpXc083HSZnGbVTt0Mb5oS6r7ClSfG3Z4Pgs1uQh2k\no4cvs3J9Hg6RjDKHM+mh8gDF/FgHRRUQV/XxR4gfay0hmQjphFWst2/fjo0bN+Jf//oXWrVqhU8/\n/RR33nmnKMUaACZPnhx0bcWKFUHXRo4ciZEjR4rKgyDE4rHbUbLoA7S99TYkX36Fehkr68aa19Bc\n0ViF7iLSFofGk0VIJaQFv1yyII+dt299CzulU7cwjOzdWJVaYBhO7xf+yP8cWE+egL2kGK0HD5E9\nbUJGWvICmwyENbiLifG3g3I4HEHXCCJaMO38DY0H96No3rnDj3Q44YuTiE8sNrdvfF2KCTxMIeyC\nNR93e5Ic7kmIqyKyz2/KlDv8keaSbhNyE9BgatX/2TdfQ8XyZfDY7eEDy4UgJVGHCqWSjcNRXMbt\nhqOcfacIwzBo2PELXHV1CgoW2YRVrG+77TY8++yzqK+vx7JlyzB27FjccccdashGtCA8+Vzbe9SD\nAQOGzUODMpn54zv4K3Kkue/fQtLnN9H4i99UhzX2UANvaBlC3lV67lP7IJMQpY0UhVOynIpYgihd\ne/zSFyKGoPEnMGEB/ZaRaO4klKA+ruQ4K6LZ2UyuIvGAIbmwnTyBM9OnNrvf88VyYD/Kli7G2Tlv\naiBZZBDWFOTRRx9Fbm4uOnfujNLSUjz11FO46aab1JCNiDQkjEPu0wXyyUGwwPj8xdFQcpnSnjt8\npbyxEr1EJyKPLJzJK5q+nidkjVbkJNnUi8xS9hTVziCYkDb3Qr4u8VHC5ewqgXo1E3wt2ihb9gks\n+/ZqLUYYQjey7cxpJPW41O+aq7bJG42TY0Wb4LFiXV5ejt9++w1TpkzBvffei5ycHFSdO/6SUAfz\nvr0o/d/XiufTeOwojDZ+7oF8YRgGjtKSpmNfCeWROiEJin8+sKO8jLuN5TYFUVOzDvX1QBVCbF5U\nMS8ticTFQakrmlK3NIrOPxIrmwcMw6D4vWy03xO8yioyRUmxG7bnSvYsoicYhkHNNzmwF9AiWDjC\nKtbPPfccLrroIgBAx44dMWDAADz//POKC0acp2TBfJz6eIni+RTNeROtfv5DcDzLgT9wZsYLcNVU\nKyCVimg43/ifSxBGEKV2L4bhzPSpqN70JcddoUJpbXQbQpkVo1hLUcajQM9hK31wP1a5oAorkAw8\nPPPQXwMzGr88NmUvY70wDBi7DZb9wucvP/wGYmlJyYaWL0I+/cRRVISqdWsj57AbDQmrWNfV1WH0\n6NEAgPj4eNx9992oqakJE4tQAj2+/Zr37UXjwYNaiyETKg5gQRObihOdhIHatGsn77AhSxTWPlTp\nFesITVunBBU5SKf2ucCq1NHXLgCC+o4kfUtlvVqKrFK/DLhb4gOpAB5H6A2njvIymHVv+qIOYRXr\nxMRE/PTTT82/f/31VyQn6/DM+xYA42Z3qK8k4VbvShbMR93WH1SSRmmidwD2t6sWMntLyZW778hh\nCSJJN9DR5/DQ3k3k1YB0sSFLDzLIgc6KwVccTfoAS558erb1xAmceOQhngobe4oOnqcfBhEt/TQk\n8pXxzPSpKFkwH24z94FILYWwmxdnz56N5557rtn8o1OnTpgzZ47ighEsRPOD3sL8ZipzIAbvzLWK\n7JOMfvqyPIpGZPRfk5P91E25sbnt8D+XTGvTH/nh228YlhMRZZLA71e1tQatFMpJbvi6AK/9/hsA\nQNXG9Uj901XKCgUgUp5jtRBTG6q6UtQpYRXryy+/HP/73/9QW1uLuLg4pKamqiEX0dLQjaKlkYNX\nvzyVcLcXWW42NH3x0NVLnrz14PaoY05WYinzO8XTr3voqn6loJcxSyjqyx2bXwjLIQkmg+HGF76e\nTloADMPw3idic5ESrARhFetDhw7ho48+Ql1dXfMbusFgwPLlyxUXLlLw2O1wlJUisdvFCud0fnBx\nVlehYuUKZNwzGvEdOymcr0AidYDzAJpNlr5+oBWXgX/6Bt6hhbV5YBlV7zF+Nr9qZx4eg0IvQuJS\nFRGL1Y1FiOC6ebHWFi4/1rExsQBcSIv3WdhS2AsTI+PKY9z+Yyjef6z5t26nCL3KxZOid+fBWVaG\nS97kZ1XgUulFWwzWU6dQ+/X/0Gn8wzAmJnGG89isIe/LSdWGdXDV1qLT+EdChgurWE+ZMgWjRo3C\npZde2vwWJGrXfBTAuFwo+eA9tBo8BKlXZTZfL37/XViPHsFF014M8vkoa/4+c0/FqpWw7P8DHqsV\nF015QbE8RRFNk6RKXV2eY6ND4NMmyjSPzIkqvneR291eaXUjLheaoF/zCRQ+pKmAvP0ipB9kJWEY\nmHb9BgDw2G0q5alw8iEeJMbjAeN2wRgXL8sD5x0fZDlcnqdpimfz9zLkxiGDmv0wRKWFFEMv85gA\nORoPHuCfrMsFuKW/nHnsdtiLiyWnE8jZt14D3G7U/dgDbW/7G2sY8949KPngfXS49360HnKz7DIE\nUpOzGQCkK9ZJSUm499575ZEqwmk8dhSWA/thObAfvZYsa75uPXoEAOAoKVZUsfbF6yFEj55CRKGb\nlzV15LC6bPAzqpKimAlF4QmDl/KmwYEhXMkH5lRZZ1U2bx6o7w5NCdjb0F1f3/SHXxmVaG8BCsmR\nwzAkJCKpe3eBqfvnYSssgGnnb2g8chj2wgL0XPwp7/RCImd/4GsbXqUD96lSyq3yGTiRxsmnHgfj\nCLOxk0f9l360ULqbQzbOOWsIpeM0/LYDAFC3dYsqijVfwirWWVlZWL58OW688UYkJCQ0X+/cubOi\ngukSrSc7lgFR6U+ootLXup7E4nTCXR+wuUuh6j1UcwzXKZO0snDUh9B+Ike/lbYHM0RsEd23xmRH\nW7GisJREKVMQ7QhdHq1NQYrmvQ0AfgsmYWEx2yicPSsgjP7aUdP9C6Lh4yaI/cHlVVrWdtJHPQW2\nF+NyATExki0HwirVPFFEqfYl5FhtCB9GA8Iq1l9+2XQgxLJly/yub926VRGB9IzBGNY7YdRR66hH\nN6GRxHRyHTwYnuVrEbxGo4xcmtoUc2vH8mRlEGFyEDBJaNkdGBgEK3pVdVYo8a1K7mpgNDpcKGwa\nSuzXVVgx4q+wcYSU2hZKO7LWfkhWHHFOAFXGR0iP3Y6TEx9D6jUD0Pn/JmonU0jkNgsMTs/jcKDk\n/XdhPXXqXBB9+cEPq1i3RAWaE81XYtUf6WwulewhdYsybW4wqPuSxnD+kB957Hj1s4FTcUIoSHL3\nPjFtI04GoRnpqD34IovJk/owLJseu5Q7cGLC/7N33oFRVWn//84kk15ISKUXaQIiYFSai6u7q+7v\ntay6tl3X1dfX5bWCr4rdtSLIxl4RUXBBVBZEpEiTTmgBISQhDRLSk0mZXu79/ZFkMuXOzO1lcj5/\nQGbm3HOe0597znOecz8GP/UM4oYN7wkpr2CSEb4FM98cKr4kQnG1GQEApsOHFJZEPpgWOcyFx2A5\nXeQdSEaJwu+whVWsy8vLsXLlSlgsFtA0DbfbjfPnz+Prr78WTUitIOaKtbuzE66ODsQOHMj+IZ+6\nVFrJD4HiLyDqJ7Al+bgFkQCekbIesBjChWgHSm/9+4rLsNrB1bRFI7tZipW60vUtAWxWycRfSfM+\nhCxemaaaKdCg0LJhPQY++Iho8aoCLtMRmbr8ULBAdLqucYOpD/nPLXIPL2H6XtjZYO7cuUhJScHp\n06cxbtw4tLS04IorrhBNPk0hosJY8cRcnH3xWVBOceyctI7rSCEaVqjRhaNUPVbJETzY1rSKZhXJ\nFTFx46ejvNYouCrlPH/jBy3TS41OeV1ajvTDZZKiOckhj/1zqB0Snc8nZaTgERfT+SOh8ivegFUA\nL3MlkcqtZz5i8mKj91es1WUKElaxpmkajzzyCGbOnIkLL7wQH330Efbs2SOHbOpDRMXD49XDGfzE\nK2WzwlJS7PVQZHf09p19x+wo4OCJ1DotG9tMNu2LxbOssqJwWw6ZfM9KCZf4omMEyBLZ/RoAzCdP\nhA4gyaVI4kfpE72Q/iJCeP+QbIeQkHLL6Z1IYnQal9+D7+1KionhlNvndfccydhe/UwpZR9Dha5Y\nx8fHw+FwYNiwYTh16hRiYmJgNBpFk09ThLOL5aF46/zfvLw4/+7bqFm0gHOcBPUzLGWwz2efgUHy\nWxIliJIpTr7+Y1mGUMwnMwOupBQBT4dYQZRiHpVlEqJ90qlf8qkk8jibmkA5ncFlkJzQFdQXXpr4\nQFFubg9IZM8e+jAvqTtvmqzNksbvajOi8tmnYOr2MqIL4fEjYGFK5H7mNplQvfANWEpLmAMIVayv\nv/56PPDAA7jyyiuxfPly3HfffcjKyuIlrNYJO8nxqtzgkVqDVSpBPiQaW+Oi4oInqcUrzRnTDPWj\nwlt3Pi8yIkTnnR21z8eqVPb4yVT59BOoWfSGyLKwhKYQVm42YTil6f23b7yJhkR2UbBxXyYxTirY\ny5AvJmeX+1M+h+g5mYIwFYlquolygsg5VLT9shPOhgbUvpsfPrDEinXbjm2wlpagZiG/sSXs4cW/\n/OUvuPHGG5GUlITly5fj5MmTmDFjBq/ECAxwGchUOSES5Ebo1CeNHWfwOGmKgttsQnQyh1VdyZu6\nivqSikRRCprm365t3S63GCOVEFax09z6W1CRWRSOnvUBWuUbHA129d1kaUYmehXs0DFy/YUQjvPm\nOqR5PrEsSZ4Fro+JDR/IE1jiw+ICx46givWqVatw++234/333w/4raSkBA899JCghCMSPm/7PCtQ\nTefMCDyQuf7YuLFm/IHJhyjb2z67G2n9kk/RWXAAw159AzE5ud3Rhm73SurVfPxY9/XpW/CFNpos\nPhZCM7i2ExqlJ6hfmbM1jWJ5o7nksLLuUHKiU8tClo+JtbzlYXFyv4XWznI3wh9ddFTI361lZ0A7\nnUgYd6Hgy3GkhtXhRab/CQxIvkIS+WWvuval7v7LD0E2rY3Yf/NtDFEy2MF1/99ZcAAAYKuq9HrA\nN2xcVZ1oMrIjxJuG/Lf3hPhNGw1QaG1JMbZJ3oLYnF3sWrIWnpbwKLwik3blUVQZxICTuz1t9DfZ\n8CkOdqvENh7KeFdafvH71UX1gtc8N6QyPMwvzaCyCDs7EXTF+vbbbwcAPPzwwzykIrCHyxKFdFIQ\ngiBXmUveDORUVNkE8Q1vaG5nn5QYk1+4iV3GiV/utXvVvLz61KMGzxVIEj8XWxDfsOxv1VRJ/asI\nwTsufQJpz8UEdeSgyPkgiUxBJk+e3B0/DZvNhqSkJERFRaG9vR0ZGRl90+VeuAldibddyRsd9zwZ\nbW3IlUCSvoCjoR4OY6vEqQgw5OQapSbh4d3H6+++sLOkBaQfjbm+TEoLW1OQkMHkmsPEnrdIl9M+\n/i70uivVTTN4kPFrpoxhJIXnivWxY8cAAE8//TRmz56NP/zhDwCA3bt3Y/369SIKKB+WkmK0/7ID\nOffeD1102HObssBpfOEQ2NXeBp3BgKgEdifFQyTK+YlWW5uA5Og+sh3HnMeqZ+dLkxwLLxhyzk1h\n09KYy0HVrAKzQSZZudw6KE35qeHwIi1qeadXG2Hcsglpv7+Gf7yqaKtqkKEXRltuVZQT4KZc4b1M\nSIVPuUh8YNDrQCLlcMBFuREN4LypHjlhHg1/uJUjAnWQsCVVVFTkUaoBYNasWSguLg7xhHqpWbQA\nnQUHYSo8qrQovUjUeSsefwzljzwoSdx9ichU8ZnbHNOFCuLm31u5D9fuw/cLISvDalpVpkMecFO+\nBarJXzgnJLcEYfPiIP4h2KbVqzjG6ZdCiL5Hsz2YLALKt+xe1GwK4vJuZ4oWGtsy4uuQoTdzZf/7\nP4h2d8XjkvtiGjaEyWJYxToxMRGrV6+G2WyGyWTCV199hfT0dLHEUwTaLfe2gVh41aZsq7pqGv7k\nRyoFTEip8lJ0eE4c7FcSucXvH7otMUFIdNzx0fHZeUNhG5+qUeGZAV7h1QCN8HJzPLvIabzxc+/B\n/sngIc2Fx9inLwBZd8c4zZW9YdXy8q2p3TAhBL0sLzD/LqV1OKEXxCxatAjbt2/HzJkzccUVV+DQ\noUNYtGiRaPJpC0muQZMkKEFryFi5ariAxi98a3KyiMJwT9/nJx13d3tqmYTDkdTG88S+pEhTdnLo\nI2zqXa6WwfpK8xC/6X1MB7VjjkVTlGpMN0SHg0mVtmFuwUy1WtVZHT6QhFhLS2CpqQn6e1jTnYED\nB+Ljjz/2+c5m434Lkqrg2QHrzQ1hopWvdnuM9ak+0+kIvXBvZ94KAJdmqmM0EGH7sJp3O0Lnys3V\n/7DPEjh3aYLGqtkrzcNDOxzen6RIQYI4vWNnE790MvB+mQtR/8mXXsZTGo4icHWmLVEx9kQb5er6\nK6WmRfI0Ix6+5cbpokz/ROStrPPv/AvnAcxY9z3j72EV602bNuGDDz6A1WoFRVGgKAoOhwP79u0T\nW1bVY3XZEMqFeZ25Af24RsqpPfQGrjc3oh8Ao82I4VzT5JKimnUjAk+4nF4UU0tkHy8bpUHKpilr\nsw+h6GjWvpkDbrMZgNBD1gpA09CFaSlS3jPE/eWPRSJyvgyzKRxBNnPsg8bZuxaq4jrUt2joXUrh\n2ltE4tdOKp9+AnFuh28QFtFYThfh/Dv/wuD5zyJumJRaE0tTkGeeeQYjR47E4sWLcfPNN+O+++6T\nVCi1Eu62H4vLwj1SDiOvd1Cnu8ug30VJa2sk+8SuktU0yZF7NderWCneEzKr6NmF93sg4HkZbayZ\nf5bVClTGtGTaWePSvGmJZJLhwq6w7SSEVxCaSyExBK1oPcv+ee901XL1otQIzaYK5yLaLfdBPh3j\nn5Kn5YV/LTibmqBv5XDvQTeN36wE7XKhZYP0Xu3CKtapqamYNm0aJk2ahM7OTjz88MP4+eefJRdM\nUnj2F6XfFrm4rxKL9EaR3dhoDfWNrYIpPiuBn2yBNtbyEyp9Hn6spdqq1uoCFefyULo98IDN4UXN\n5UtGeUVs2zRo2P1WMcWIVR30ytGxb6+8SUt8h5M3dZZgprYiJcxhzjHaBbgMBgvFOi4uDpWVlRgx\nYgQKCgrgcDjQ0tIS7jGVw6+ilDYZdXq7ndHqhEtQiN427+Cy6iFkTPPrMJxWJZW8NU8nNH2uBx/7\nOIq/ZPGDldSqzJoahAq+ku8J4fU7m5MeAQtP3cNPqJfTqBDRqrFZuq1qPHzsD7+CazA3MsemQD00\nWYTpuGEV68ceewz5+fn47W9/i/3792P69Om4+uqrBSWqXZResWZqYSrs/UJkUuNoJgPclE7BiQmM\nQIw4la3n0OLyObApTZvvK+/PWjQFYe2tgdNOo/QvdKoYYSWpG+bewrsPqWQuEsN0p+scg8pReuVS\nRMIeXiwrK8O7774LAPj+++/R1taGfv04H9FTF/zdHIgfr5pW8QjyIfcYwrvpSNPmwtpYh0hXHIm8\nvXgwxMgzEWdrK2xlZfwelgs1jiMqFCkcUqixcuzquM2mEHF2/edoaACsUh7k04lb5xK0afW40PRa\nuecxb5h/PYHz7/wLGTf/GenXXieiXOIS7AybAL9UQeILX4hCTfDCrlh//fXXPp+1pFTTFIX2Pbvh\n6ugQJb5whxelRy0dPRxKl5P6odz861LoQCPFWQFZV3hVTOWT89Cxn6MdJENRaN0biDpGAHEKkbLZ\n0Ljq3wzRs4hfhS8xTS+/ipxjVSHDVD37lMRSsCs7LqUn/vysvrrjQ+eRQwCAtu1bhUUkdadWZTcu\nlQAAIABJREFUXL8Sj7Ar1jk5Obj77rsxadIkxMbGer5/6KGHJBVMDDoP7kfDss8RO2w4hj73ouD4\ndAjd1XgtWHN4SjvdPFBSyulA8/ffod/sKxGTk6uATOqiqr4D470+66S+ScprgqehlO9zecxd3BYL\naJcL0SkpvOKnAY7b9xL2TSkmGxlulVTFi5ZIUbZu3oi2rVsYfwv7ksvqgGMfRIIyCX5vX+QobGyh\naVqUFw05S05p5xBiEnbFevLkycjLy/NRqrWCs7kZAGCvqvT5nq89n04Xtri4w0UUDV8G0/7LL2jb\nugXVixYoLYoq6LD6HiBM3LCb/cNSTdRyrq6JkFawGMof+V9UzHuE9dMB8fAY34XYCId80VHhimdf\ngwpiOsGmzjmbE8h3ZlYFiCxwsPrgq6+ppDy9xXAKcq/LI0M8lHPeQ5aKVqyFShJ2xbqmpgYLFhBl\nCFDB9qZKOjofKGuXj293O3f/kwQx8D5hL4EpiGDf2H4yKekVBNyvNBebntTVcKaPt+mR0udHpK5C\n1jILV/houZQO2SY5cV84mFzRCj/jrZIJ10sOJ83SoxNNeymq/Cs1qsmIziOHkTz1Eg7NnV+56ZXX\nsEQjrGJdWloKk8mEpKQkOeSRCZ4dJtzgxqddcLkghvWX2oWm+8jGnYB607kpzm6XfJILemFFIHaH\nGwZOKbETIlw9h1Z7u/8XbXWPKSJukYveZrvryOaU2EQoohHpmGuQaNisRjsbG4H+aaLIESiAdgd/\n2vOPdAjvk+ooXyUPUSbtO4G6fSfg/NMtoM+ekTYxFa1YC209YRVrvV6PK6+8EsOHD/eYg+h0Onz1\n1VeCEo5EJG/+GjYFIYhH+okqlD88h9tD3o2Tw4R8uqoVF3FLiRU0wg1dwnuTo4nZLyqb+LnfdyPA\nFER2BUke8wTVrPgpSMNXXyB77jzB8ahJ5VAvEVpKdJC/ZaR5zXccQvM1tWV38yLzw7ySDIrQYg6r\nWD/xxBMCkwikpaUFf/rTn7Bs2TLo9XrMnz8fer0eo0aNwosvvgidTofVq1fjm2++QXR0NObMmYPZ\ns2dzT0jiNyDbubNo+WGt1zfcq4PqK8qyqt5GOSCZcqA+f3tMA5tLkPcSYfIIperpJ1mGFKMulFMi\nrSYLjHWNGDBqmGIyCEUKJZxtnI7GUC9gwYcumsXBRNrh5Hhml/1ukqYJcdW7TxgOfdM/ZMSYgvBB\nSdnFtrHWYDWEVawvu+wyURN0Op144YUXEB8fD5qm8cYbb2DevHnIy8vDiy++iG3btmHSpElYvnw5\n1qxZA7vdjjvuuAPTp09HTEyMOELwrnjfj+ff+Zdgm2G7yw62ufLuK3Jdddw4MBmj5UmqGw32Il4o\nmM+QmoJfUMmEYDOpSofvpOmbFq3Tybr9KnQCPzn/GaTa2mB89S2k5WSwSVBQemzg1m6kkYetDPaa\n6pC/By0ummIhuTh5Y5UXjQ2doopLA3SQG2U1ViyhETAgq/1FQWp3xk7KCQCwU/bwsghMK6hiPXbs\n2OCJ6nQ4ffo0rwQXLlyIO+64A5988gkAoKioCHl5eQCAK664Anv37oVer8eUKVNgMBhgMBgwdOhQ\nlJSUYOLEibzS9MfN82St/6Ev2uHw+Rx3sgJN5pXIvO0O9nFyOcCigJs0Z2yU7GmqCq2utPvDwhSE\n8VuWhsxMh4cCy45m/FNpVCQKL1JtbQCA9vomdoo1R2LazKhf+hmnZ7Rept4EU0jY5VG68UPLI5MU\nL65tmzeLGp9aFFHfsmJZ696yy9xQ7EeOwpSWBqRmcXou+KF6FvXAIkibrR2pAGpNDRjORTAeBFWs\ni4uLRU9szZo1SE9Px8yZM/HJJ5+ApmmfxpuYmIjOzk6YTCYkJyf7fG8yhbgtiiM1plqkixZbL7Fl\n1TCWVSP9+hsRFR/P7iEufVeRfq7l4VsEVDK4CsfbK4jcKYb/MSCsOGNpiIe9yoPx7KKM9R4yKSk8\nuHDLW/KZ8+g4c150OXrRSVPeIkV5vsmMZMZfwtuC0GBh8sCCSBmFfBF318pRUyNAFhVDCxy7ZW48\nlo2bcXzjZoxeskzehFVEWFMQMVmzZg10Oh327duH4uJizJ8/H0aj0fO7yWRCSkoKkpKSYPa6295s\nNiMl1GUPANLSEhAd7bu6akuMRUv335mZySjt/js2NgqZmcxDZSiaa+LQ6hVfeZDVzP5p8TAk+8Zv\nq69H5efLMPz+exGXleWRpX96ElKCyFLq97lfWoJHbr2+K22dTseYl55n2eTTPx1v9HqdT9mxQR+l\nD0jXvy56/vePN6N/EqLC+Ez3fyZUHtmEDZa3zMxkxMRw6yJsyiozMxlR+sC2w1geGUmcyr4nnh56\nno2JifZ8n5jAbHxkMAT2C0M0ux2L5OQ4z7OeNLvjK2UIUxVnQM9+T2ZmcsDitiEmeB/t2TLU67jV\npzdp/RKQ1P1sXJzBZy/IYIgCWCif3nmLi43m3E96SE6ODZrXKD1z//amJ82U5HjeMgilZxzqSTs+\nzoCMjCRUBgnvU3ZxBsTHGyDE/wlTvmNCtCFv9CnxqPOKxx+Hm3mnMDUlHjGG3vEhWNmnpyUg2GuJ\nf3r21ji0MYTR+3WQzMxklHm10czMZM+c4B+OS3uIj4uRpQ2l9Qucr/3JyEyGPqpnngvd19P7J6LF\nEAX/S9i7xpbQ6qh/fnvS6XR1IrSRkHiEylua17zfEG+AncUzGRlJ0Bu6/Dm1xRnQASBK7zsvi1HH\nodoKVx0rIY55XoqOjgrfJoO0D/8wQK9OE4qYmN62yafMZFWsV6xY4fn7r3/9K/75z39i4cKFKCgo\nwKWXXopdu3Zh2rRpuOiii5Cfnw+HwwG73Y7y8nKMGjUqZNxGoyXgO7O515amqanT87fV6vD5zJbO\nzt5u29TUGXSrqLmpA9F+Pbzm7Q9gOV0Eu82BgY/M9Xzf0mKCXc9OFmOrGUjoCkv1DKo0HTIvfPLp\njTtM/ExQbirgGf+6yMxMZoy3udkEfYwj4PtQcJGPa1iHw4UEkWVpaursrb8wz/KpP6ZnHHaX53uz\n2Y5UhuecTlfAsy6W7t46O20Bzzqcbp/vOjus0Hd/ttoc6Bm6Ghs7AhannI5AWXrosWylaP7t+9Rr\nbyJu+HAMmPMQrHYnvF/lnE52JlfeadtsTt6yMJVdD24qsC8Fo73DyiqsFCZltN84YbU50dzMblyy\n2RywWBwQcgUZY5sP0Ya8MXX2uq5kCu9yMZdXW5sFDmevXS/TszRFo9VoDvg+2DNtbYFuNJuaOkH5\ndRD/55qaOhl9yXNtk1Ybv7mRK8ZWc9ixpdlrnKTD9PWW5k6fugAA6LrLJYwsTGUJAJYW8XbJwxEq\nb61GMxDf9bvN5mT1THOzCbroLvXOZu96pmcsod1u0XaIxNQ9bHYX4hi+d7nc4eNiMxd0Z5miwus0\nDkdv2+TTH2RVrP3R6XSYP38+nn/+eTidTowcORLXXHMNdDod7r77btx5552gKArz5s0T7+CiHDAM\ncFS3PTbt3/nVbwtCUBLVmCSEe5bhYb+VosY2a69CHyZfUufa1doCU2vXHgqzGTnpa/IhkXGSgCps\nXPVvGDIykHb174NGJGsLYSwi0kalRC2l6ztUsusrjPcEdMdTPu8R0C6WF83IiPQmivLVqGKK9fLl\nyxn/7uHWW2/FrbfeKlHqIhVwsEMtobaRhbQen/TUa/sslu1rRMMym60bN4ifIKcyZnt4MfA7/xba\nae5dbaHDyMP7tj8euP1dCupknlTD3AIpenIcbaylxtXRAX1FhwQx889n29YtANCtWAdDisPk/GVW\nV62GhmZhn+6NMrOdCkuUdUF42WX7LXBQ5uA7KEoS1GRHhdUQDkVXrBVDbD+L/jBd7xxMCRd686LA\nOAmhkWpAZxtvy3++l0iCQNS0YiBnC66oa8d4n294XGku7G1SyMNe0ain33NpS5aTJ8S73VMSQuRG\ni/6CQ6LeBZtQqKflSwyPjGpHH9Bm22OiTyrWorn6CaZoh2ofoVyQhUE7HUQbUA4HbBXlSoshC7TP\nyfIg7UiQH2uhiqguzO/SYbEJ3xYVMqbI3a3lGEdUMVaxFiFcKw/WX9jKIUZZMMjo9xVLz5jqgEWZ\ncF50ErnNqaINA+B147JKROeCIHd7KqNPKtaahamjS+0qLFL8ODPQ8OVSdB48EDKMob415O+aJFj7\nEHIttwxP+KMTrZ0HxqOaSZUDdEsjbOcSw4eTQRZ1IG1OGX23S0D1ogWIZjrop/GKlK2PRdAUxucS\nFakvXhELbUjJDqJYcyD4GxUbgpmCCIgS0E5rVGHnNhUWhg2TUBYZvlFZKaEs7KSDP8sUv9+FSiGe\nDfhNQcVW7pSZFIyekuvX0AbzqZNIHD8hbDyub5bhHLsUuYjHH4UVPwnfuzgJIfREg7WkGGmsQ2sD\n0S+ICVHZfFNSy8s1LykYZVdHfhRHBlVEL30SCsLh6mZeiBEPh1UPJW5elB2VDGaS01fyGQQhk5bk\n46JOB+GmLeKQ2tyB8/lviRtpn2l7EueTdTlKJIcE0VpLTuPsyy+KH7E/rM4u0ox/MgeN4DYdyXnz\nQisr62wgK9ZcYFvvcrws9sgi0BTEbQn0/y01zpYW0P2Zt6zVskoQafiUKpcylmOsU+PqCsd2KGwF\nTm4ja5mS0UpfDjehh/o5XBa5KgsK901Hba34kTLQ8f1/ENfUHjacoi1IJlMf+VC34irMIkBdRPaK\ndRB4d1bWD4YIqGO5PS4kfQ6Ds8vr5ksp8X4brXzqcVQuWSpLuqpF7rdzOsjfXjCaiwhZlQs4p6sR\nRQvgPEhoaUoQfRterUhsCsIqeinbfKD9lHRpiYz92DEknm8JH1CMjqWlzhkWlplR42JFGILmTA0m\nXRyJbMVa3e0IALcDMIxhNTpo1G/aEuQXDVSaJmGhWYsWPxsRwoTnZxIuGrK2QhkTq8+Kl+UFJ9y2\nbs3b/5JeBskPL7KyZ5Bo9aQPwLJ4e4IGh98kqZ4dFy85eGVFK0qCVuQMT0Qr1g3WJuYf+HYY1qYg\nMnZItfR9rgSZePmupjnq61CT/xacTUHqnMAL1nZvAkyS1TOB9aCTtQ/LuYLcv9UG45GjsqQVKl+W\nkydkSF/qBGhFx9+4KCGXwBMiG7WNqX2LiFas2+1S3ObFjx7lwXLyV5x//x2vH3r/pJxOnHv9ZXTs\n3xcyDr/HQoYLSxi9idJIB61fthSWUyfRuHKF0qIoTtj6V2jB2je87wNcvIIwXNYrKg6dlfMzZkqA\nSZWMSrzBRaPqg08kT4emaeVNf8Q6ox70QjhhLTFYvGyJi44RFoEW4FJGorc3ZdqvcevPKP3ve3ql\n4LLTp2n4501tpRJxinXnkcNw1NeHDsR7wVqc1Ttz4TGvoL2BraUlsFVUoP7zT4PEy05wimLwecoT\ni0vmw418e4i7K8+0m33elTyELJ4PZpb4js4swnQhj5yBaSg5UFp0Rs4eeFxwhg8kEq6ODpx99Z+w\nnC6SLU1twq4VWV223idcgZcFCb14hWa6iVcM/Pum2rQLoXDaEZAg8wopsU2rvhYsB0VFWmPQFhGl\nWLva21H30fuoem5+mJAS295xiV+CK821ssosKpFjniWccG0qmKYgoNkwtfnQzhTCJSZnG1Z6ZZXp\n0Gjw4G07tsFeVYmaxQulk0kU1DsOte3aiYqnHgdls6Le0uj53lp2RkGpwKnI1Fu6IsJyXLeeOB7g\n0UTozpYaF4cF3SugxgwpArd2ce71l+FobAwf0IuIUqwpu51VOEVOxQe97U5oHNJ2IMlKSgM+K12d\n6jElEgwbryAi+4mkAZhOHGcXkEeykrYgrl5ByJylPkLUSeNXy+BqaYGluJh/9DTNwuxKniO2pmNH\nkF7TJmFa6qZ52TJQHWKP19rt1D46joqnWtrtlm5HRyRsFRVo/u4bTs8QP9ZSwGnVQfzOyy1GdfU6\nSkWdrGLuI0qLIBHir1gzKRDJRedQuzOfOQG12w0q7RZEXd2SH4pXq9Q7k+JLweV8jHfQ2g/eYwzj\nbCaHuYXasiuP4h1JMsoefADR/TMw/LUFIUKpIP8cRYioFWvWE7QK6qkXLgMp2/yJqZxKMyqF8zbB\n5S2WslkRGZqIlARRasMgpFRjmn1X0HybrxidUKKOrFOBp5IQyWvhhjJVSMha8+U5XtLhjQ24L5yI\na0ZYOf8JjumrE6ZyZttH+bZFxceAbtQhhTTQLhecDWHOxGmQyFKs/Qg6/0jdUnmuOoQ3j9DiiwN3\nrGfO4Mz/3BvUO4o/ZQ/Nga2iXGKpNARD+/P9JpibA3EbTsjYFN1ClwIhBupayytLtJCvgAOAHBVb\nLeQxAkjsdKD0v+9BR8EBzs9K7UVIlfS1dqmyKo4sxZr1Sg7PRifkhHJQG2ua8W9HU6CxvBQL8mpc\n/GrftRMA0LxuDfeH+9qAwhY2XkGkF0JcCcTKBoNzhT5zO6FE0FDD+z0bCWiEn5WDxcMuh1LZkEZ8\nG2UYyxu+XBbyd1GTV0v58vDwwbjarpLsaBGubSGyFGuWqKt9MUtT9fSTDEGVMAURCT4aPI+Bk3bK\n5/ZMtfD1Yy1k0ZXRZV6IOvd7oeyTq0rdMFZXqOJQ49uwH7K7k2RCYlMQx6dfIbki/DZ2ZX0EHYKW\nncC2bik+DcrhUEAWLeGzFa6YFFxQi+mNGPRJxVosgjYDvocXw9kdM3wntTcCyQ5+hLp5UUCa1jOl\n/B+WFXkHEd8iZa9ZC3LvJIQQ8Uk/TXC/ebF/TQ3v1FSzMiYINeYhvEzsbiUP0uLsdiTWtISN3+Xi\ndHyRfcg+6KuYtttQ89abaFi+jP1DfAcMlZQvr/FBHaLLh8ryG9FeQYKugomkBDjdTuEF6CWKqzX0\nIA2Wl1aorI0xEtQ1os9KprQyON0UoqRNQlswlbeYCnPQuuWWhhyn/LlOZjnlFWIL4MPuN99H3NCh\nyLv9vzSxYk3r5L0Wni+tG9Yj9myVZPE7nW7ii5E3wcvNfJyFG09CZCB29+ExfFqKTqF100+sw5MV\naw741wcVVNHl5+kjbMWxtgRRoSkIS7qyqPP5JBVOt/jxe19FGwq5VSPvdsYpbbaXjXIsSjFWaf31\nFZvZCjeHmze9pfGNGLIrhQ6rHXvf/wINlcwr39lnDiN16/eyysQJNeqOLGSys1KqhWVOur6uxkIX\nj9CmASwOjgoseC3vJNFqNAfVMLTdjubvVrMOH1kr1qwnQ74dhq1my+HwIhclXCtO34VGoIEVOaFI\nOWTT4dyAidAW2RDF8gWPvw7b+6DT7sC5R+egKXUAMvlGFxCrTNA0jq5ch8zCX3C2+ASy389Xdf9m\nQ5f4yiom/orR+fffgS4qCgPmPBT8GZFfqGr7D0cGh7qMJDtTSelL5dRX8hrMv4MC44jQ4TeyFGu2\n8K4n/sVtrz7H+1kPUrw4hFFiM40u1H3yIfv4hNJXBhGZiauqh6OuFjG5AxCsfQjbsea6ZE0z/x3q\nuxCY200AgMz22jAh2aCTVSek0XvLZ4qtrfdLDaGF9wBz4TGeT/LPXWdCmuAXvWBEuhIeMn9yuDpU\nYfkK83umvvywgVWe2QTidPZNGJFlCqKSlc6uPk+j/vPP0HFwf5iw4te2mANuZpsLnYcKRIuPE9oc\nB9gh01XHPcTVtaDq+WfkTDJkGIvd1fs1Hbgmwbl09AKGMqXbmQoncMHQtOLZ4uOZRAqFRCXTkjYJ\nekyKw04vz/JXT69UjyRSoougfEaWYu1H8BvKxKnAqBCnvd3tbejYvxf1n30SMg7r9p0wbtnMMkUB\npihagkxEysDQbsSsCu/YOy2h3WWFGmQlPwumgI215hu9Cocc9YgkUd1qfZwXAB3s8DsDOr7lL2P5\nus3m4GIE+TskGj5npRSUzSra+bTIUqxZdgSxuktUMJsgmmLdJ+37D6Jp9cruB0OHZfOWTtN09xXf\naoPd4OabR2E1FelbpUEJl20JyoWrHZx3axDFhk5Anii/Z5M6LfLa9fkcnWCRrteCQcUT8yQQSCSU\nPkDFpwrFrnYW157zTd/u5HNQVzuINX7zPlEl4/xR/uiDwZ0XCBVDK1smCro3pOx2lD00BzVvvSlK\nfJGlWLNF4vozOUyKteWmlV+j7tnnODyhxk7XffRJ6MCmYsVa0lIPk2+ltty80/WRgOkKdo6mJUKq\nutPie6nQ2NNn+EfGF53Pf6GDeg0uLmOrNPKIQLhdCelRvv/TOq4XVrGX2RHhinU4Im3hpG37VtHi\niqySkR5XezsAwFpaAkD4/BxZirXUV5qzxM13pSas+N5LW8yBxeycyiC8bmo//lDTLgelJmgJM/7A\n1vyImww+K9ZiTJCCVkeVnoaoALM1Nb7ucqHd7IBbAneWUiP2ToU9/rxmFgzVhliKM+/iV4vizues\ngAavNA8mnqHDio6DB0RMgaFFiFzXkaVYq6YjSPOcz01baskrW9hf4Sc4KdPhAtgqygXH0/cQYmPN\ntd7CmPywad8+UYjbHyJtNUx6fMtLFWYKKqhCWueWTo4+v3jA0vRT4y82/F72VND4RSK1rA71n32s\ntBiciCzFmi0StzmyQiEQEe6HISvWwQnmLUHLF8RpWRHmurjkdGulbStdJyKlLyQajs9yCa7hJs8a\nJbMou/9kUZPrjczq6jpz5aZV8LIbAi1fyONPZCnWKjEF6RrxxNeufRueOPFbXBZR4hELGqG8uXCN\nLHI6Kid45lvQwMbyYG0PYpiC+Nhsi3zwRV5FndtOQdn5DulE4YkqX8p4yCR2vevY3BDoKwD7oBGk\niPDBVlamtAgiE6w+e7+3ONjN194xVXd2+fa3udh7UlEERZszMQVRDrZeR6RqIBJEbLIHd/OjCHTQ\nDwSR4GJjLbbCyoTt7FnBVS26Iix30+PwMkkpeHqeLTpanrYTGj6aNcN3At/zpdrB1PIuDStoOmTZ\n1yxeKH36KqPFxvKwsvpE71NElGLdYW9nF5BDhzEdL0TLjz9wlEQiI2tvxBqs9eqyW6G9V/sj2CuI\ntCNfOGP9YKYgDN45REoy1AMN7+Sjn9VvJSZE3THKKbrpj4xtx2+Hy1R4DPpQSqm6uiwzapBRBZYg\nBP40LPkUSU0mxdLXwo4A7XLB2RqobDOPh/Lnx20yoemblXC1tYUNK7W3KjmHpIhSrF0S2NXWvvc2\nWtauAeVk7zpKqpUEn85C+/3Pl0g1CFe1Ug2ljQdZf822LbOahLyC+Le6ZIG+15VfHRWP2vffQbRW\nzKhVhCnedzpz85gP3Az264LMXGhINxZFTpNnxHrqJJIVVKxlN7EO0k5CjcHVixag8sl5cBqNUokl\niOY138L482bUL1saNqyiU7bIaUeUYh1AEKWRVxmqbBDznHQWqhfL1Jqb223sAqpdIdYA4YswvC1f\nD1K9dolzKYzXnyJfRiJ2fKHTCr3lHYgKX4ZV0G1tMb7lwmcoOd9sUtjEQgUFGSFo3RsIG2zlXXbm\nzqZGv1/U0Y56/EO728OvWKtFZjGIbMU6GJIPnFwnStaxsvxSfVTUsj1w5VV2glaKNFIwCuB/02AP\ndkfgqfGkeIOIKTMfXgwTlF3MEbRiHRaN7DLJ+XISRAJRHhGioOlABz2MLVTxoxQv3whH7jmE/XoH\n+yiJd6xAZBg++6ZiLTF8JvnqN1+Hs6EhTMTaVR646QLitHxKxYOKlH27+v33gg6oNB3cS4HbFfiM\nqCb43unyXlXv/cnXK4jIF8TI7RREx24opt1u6F1cb/OTHqZmosXhisnOU7jHEy6ePiSJto/DbxBT\nj401dzl6dl3KHnwA2cfPii2QYNr37ELjqn/7fqmW4haBaKUFkBJRlRdObpC4Yz1TyitmbaxdAXo9\nS8UhxCeuRFA/5YSjpAitpeXoP3ZU4I+S2XuysbEOYWQtNHmRa1vetkOzfvGsem4+MpuapBVHDHQa\n9lohptySFoFGy1cjqGVhhk0tB90VcarkJbxbPkdjI1o3/oiO3bsCgij7IuOftrAJKqIVa+WgIL0f\na23BUq/uQoytbq1O6iLRZrKjP9MPIcuFf5mxa5u99SqK32PvBXCxTUF4bLO3NrSIKwMDTtUq1b7l\nn1l0BvT0axWShT9ityPOI1nfHrZUg62qEh3578m8cMW/8i0lxV1uS0WIS0rqPnof9upzSosRiMj6\nQoQr1sEOL/KxvaOUV9akeIGWIE9MN8Pp/ZTl5phUjJZanr5kd8sWmgZHtyAs4w0fRG/18pnu1zUF\nT2AC2o1Yk2fzs4/zes6wYi1Sddoeit1+fS2hxYiOha8hRiF5gOA3jIZDzJV2vYTuTDW7I6ABaj94\nFzqVrFizGVtb1q7xe0YlbcNPDrepUyFB5EXbozlf+OjVXJ6RrE2rpLOEwclgq+u/VeUMqkhwscMN\nTfgXKCUNaSSuy6Cum6igq3JS+xFNPvoLgL/3COIvmd/H8LKkNZqx+/k3AMqF7IZyUWTkkDxK9x0V\nLT0D7RItLiWgKRpOu69L0hi58yRGdxa5Cxii9NDX17JPXi0KUR9HkXoImiYfG2thokiFWtt3h0Nc\nt459U7HmqVmz9ulLU9Kc3JegUepkUi79FeuQqfbcD8NQT+zrIPghvT5NqFV8QcXF/uGCr9ci8ayf\nssHpxbU3cHZdCYcHA9kz/58Yw3CbGatdraXvCko7kshod6Dywf9RLP297y1FrNPvhAav/i+ywR0N\n6Av2iRljb9RkfIssxLZmU2P7CGmJKJe8gdpHvblB1N21vqlY86q/wIfq06OR06rtlSYpYFr5ZLsj\n2vzpZ6A7Q7w9sjZN0LJFusTwVGLFgKIo9NuxNuD7gDbjl+7JzbuRO2EM+g/MElWerOZKxu8LP1mF\nFFFTIkhJ5vHAw1DesFcyxB41QpheyZI+QStlSlktMG79OeB7n5mMSzv2CyvKuRbBqEIIyZFVsXY6\nnXjmmWdQW1sLh8OBOXPmYOTIkZg/fz70ej1GjRqFF198ETqdDqtXr8Y333yD6OhozJkYz9B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YMDgUAgEAhqhKZpuN1u7HnqRaVFCUSlq+kWZ69HuOpGjl5eaBpOPma3XkSWYi0hbpq9H2uax5Xp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\nQRCEp+D/AIVXvLyRJvMoAAAAAElFTkSuQmCC\n", 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NEARBEARBSMThcGDJkqUwGp24+eZ/wGiMw7JlK5CdnY2PPlqLDz5YgbFjb8HAgZdg9Ogx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BizeNse9LO3+n3nuGCST6RipeKGlgcHAoFAIBC0CE3T8Hg82PX0S2qLEoxGV9Otrl6PcFUNPL28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\nXr3Yt28fAJ6enqhUKvn9UDFO6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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -835,7 +938,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 14, "metadata": { "collapsed": false }, @@ -843,18 +946,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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wiGDsQ9XmOBSjaAXdvpX7eOYfe3Corh3Lt5nvDx+UhemyyPvkoKuJIGZqsZW5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\nvWF09tSpU7i6uprsqgDXysvLY/HixZw9e5ZevXrx6aefUrNmT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CcPUklbvu58txxzem4/LzynTbNPUciUE4xh0Jt3tD9Gcj1yJX79FYRZpXvr3Hm/D0W/tx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WoXJuzBvJFjcVnV1VhRdBFumXsZaJrGtbVfxUjGRLT1JFKelw+GSs7GiwACgdJfcBEIA2oPb4XR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\ng8/S0pLk5GS+//57tFotXbt2ZezYsRw5coTk5GT8/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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -884,7 +987,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 15, "metadata": { "collapsed": false }, @@ -902,7 +1005,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 16, "metadata": { "collapsed": false }, @@ -955,7 +1058,7 @@ "Name: Canadian_Solar_CS5P_220M___2009_, dtype: object" ] }, - "execution_count": 33, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -974,7 +1077,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 17, "metadata": { "collapsed": false }, @@ -1003,18 +1106,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 34, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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vLHRWDrO4uI5ChwIJnvj7SDXBhc5QGJFIDOOPGem2KK7iROerGQNL1BbFFJU+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\n", 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9ZaGzcpjFxXUUOhRI8MTfR6oJLnSGIohG4xh71HC3RXEVJzpfzRhYorYopqj0\nGfpcFRKr+fhZ6YvZCNBH47ec+0liGCy2d9fUAQC+MeFz4uPUO1hoNgwukmSytrIewwvy8OKSSnNy\nmDQ/cQIz/YHhIwMJePGdShxqCmLm9ZPsikV4FFKis5wjLUEcVTQMhcO1q8IdT64EALw8/RIuccpw\nsNApmAcLOxqfXQ8eFuBRlnoh8BhsLUuYPdXUgzhcOIrimC3t0KVJGvEx2HOIEvn5xeaUZyPsTtyt\nvM2zHFfvqOcWFuFNyJwji+kJ9+G3L6zD3c+vcVsUz6M3GDi9feiG7mfWzl3kleSaElgIX5Tdtqoo\nHt1e5rJr4hHiAGJ2diCYMK58jmcx5whlX4k2DsT8o80dPSiv8Z8ZF9EPrURnMT3hPgBAVyjqaLyy\nHiy0gqFbuQDj+CNIe+N66YctEdW8c4jVoq2GL0RR8aGC6af2rEUAQCxu/UApa1yAkZ9oc36XpbX/\ndfh0sZu7n795tn+RavYd30Dh8HzX5CDEQCvRWUxOjv8HPznRyXdZBz0NTNkXGj3j0KEwaXHaXQln\nRCsoshSfU/VoxDDjta240+YconZmbMpnZZJgJikiiro3EhMQKuE2pERnMY5dzuFjjDrxAMNStJIF\n1uJuuLizQiAQELKKp1rC0mv56jhVjJFodikfuQaLGwqUjDqj6ZxDkh4lXQ5XuwCXIvdoMycMICU6\ni/GCMuMVWCYklvLdxDu2i9NkJ588yJtLi7ujhxVlWNptcMGMLCpwW4QM3ltb57YIAORSgkyLIpHM\nakguniZW5JZlQkPwhZTobMalNu3HzsQt93Dq74jNXzs7GMySsUxONKYR/qtt4ijIsz8k8M7vls5e\nziFaRaKaZHp3Sw403VrLNDMRTBYlNasgJTqL0VK2mtt78NHGA/6+HpXTKrwZhdK5SYO2LDyLMnm3\nmdkm2oUqJVM1lkgUfkiQKFd9uDuMogBRK1fZ2yAcieFAYzeXsG7583JU7W8H4GCeJkXEo+u3EoYs\n9YfgCynRWYxWo/7jKxvx+tLd2FbTLCTebDjNbxVNXYBzD6zuac5cJDlqEweJi9SqgiVEL/PTSKox\ngeSu0PrHjJwbn2w5ZOo5ntk08+X16AxFbIcTiQ5NAOzKJ6weiAg42yutTyElOotJbtP/WluHQ039\nKw2dAy7vnHZ95zaGN+tJ5G+YFZ7dN6s5R+pCtPMDCQ1d5mGq41mkFCiQK7mdQfvKrBW6PTompBQd\nh07Zmk2JQnYBAAAgAElEQVQ04UdIic5ikleM3lpei9+9tN5FabyNvk/X1M+S6NWWyWHtNVy2ZpFJ\n+VFDcvGM0cj3zbua0Nze46wsfsBEB5G+G6Q5sfVR5a/Y14on3trmWW8tshcFYQ1SoglN4nEF3T38\nVx78eLCQB2qdLEtO6S6wmLlsxWRkauY4ZicGrgwkFiKtbw0JEMQHCrNJGttCmL1oO+6a44/bUAOQ\ny2OLkRu8FOQROwOWseDPb2xFeW0LNu0auv1P4qQhHIlh14H2xGeZ6g/BD7qxMIsxOjj4ygfVeOWD\nam7x+dkv9c59rfi9JCv5XC5AYY1T9zfrkfGoMWYvpkhmU3UTvjHxOA6xp+HHgVQlScHePq2feATv\nCrLIAQBfOnFUijKpeWOhM+IYwrPaW3JZmfS3U5etPLWoHJX72obClKUwCK7QSnQ243CjlmEmLrIz\nP9hk//S6nTzSXYi2HKr3kaHeeQeGvHJoUpxtxWcmV48ePUK4HI5g5ZyJzam11Wr7h7kbEn+b6VOS\nFWjCv5ASncWw9l+8lJFs8s4h6+o7b7HMWpIoirjy11yNs1hts01544nf8k5J/OM+/XmbVtslX4oW\nZsLnYEWrq+9yLC7CO5ASncWwKsWS9McCEZMfGdmso0OKUrr9X3bayLQSLY8k4nAju52IU66yc0ea\nYG8UVXUur7BactIsV+kR/sHQJvrAgQP45JNPUFdXh0AggJNOOgnf+ta3cPzxx5uKYNu2bZg1axbm\nzZuHyspK3HLLLSgrKwMAXHXVVfjud7+LBQsW4M0330ReXh5uvfVWXHzxxbYSRQhCARcjVRkOFlpJ\nRrQvjj6HLzlIEIBsozgAK2OT8xM3mbLNj2O5D5OkjgcLj7fED87fzDlEgvA2mkp0Q0MDHnzwQRw6\ndAjnnXceysrKkJeXhwMHDuCOO+7A8ccfj+nTp+PYY4/VDPyFF17A4sWLUVRUBACoqKjA9ddfj+uv\nvz7xTFNTE+bNm4dFixYhHA7jyiuvxOTJk1FQUMAxmQQP4oqCHBtatEymDVYGlz/M3YCC/KTNG9OB\nmI9Nc9XUTBAMRtGqnkBsjLhmi1b9khc+aHv5sncQiS9yK2JyS6eNV+W2hgdTK8qaQ1T0Iu5a4R8k\nIQGaSvRjjz2G2267Daeccorq71VVVZg1axZmzZqlGXhZWRlmz56N3/zmNwCAHTt2YN++fVi2bBnK\nysowY8YMlJeX49xzz0V+fj7y8/NRVlaG6upqnHXWWTaTRhjhdKO2oszUt4ZQVdeGi88xt/NhBzPS\npd62JWe3KJP5AuD+Ap70NtFyFRcz6XMX/slxP4Oc3AiystigfR5AkbafsordpRiZFnMI76NpE/1/\n//d/mgo0AJx22mm6CjQAXHbZZcjNzU18njhxIu666y7Mnz8fn//85zF79mwEg0GUlJQknikqKkJ3\nt30vB4S8sBwsm/H8WrzyQTX21XdylsE9xB2s0w5XloGUWTHloMkauXJUQ1T9cHtC4RSy1DdeKJC7\n7GJW/Dg6CFfpDBpn3GJe/HPFHtw8aznCEW9e5kK4g+ZK9E9/+lMUFRXhwgsvxIUXXogLLrgAxcXF\ntiK79NJLEwrzpZdeivvvvx+TJk1CMBhMPBMMBjFy5EjdcEaPLkReXq7uM16ntLTE+CGbRFVm5Hrx\njhtXgvw8a2dRS0tLkDNwQcCIEfnM6SsYVsAlTwKDMhRmhjciNHSVrpm4xo0rQUGBfj0cO7YIxYWp\npkl5+Tmq4Y8bV4z8/NQmmRMYkEVjKSw5nLwBU5OCYXkZ4R/VmnpzXE5OIOOZ5JvA0n9L/jxy5PDE\n5xGF+QD6V3e08iz5wp5x44oRS7vyMD8vV/PdouLhmjKlo9UnjB5dpPquXnjDh+dj1KgRqs+WlAxn\nqovJzw4fnln3i4qHmZLJCqzh5eSo1021cAvy+/M7L638Ro8uRG+4z5IMas+mhw8AhWltKj9fuw7x\nYNRRIzB2bFHis5W4zOZrsUF9GDeuBEe1h1O+O9ISUn129Ogi5BZkXhEuMq8KCjL7n5ag+qVdeQN1\niEWekSUjEs8H+4Y6xdLSEuzc24rfzF6R8c6Y0UUoLe3XX4qK1PN38ap9AIDuaBxjxhRBj8LCYSnv\nmpF/zOhCR8Z1N/BrusygqUSvXLkSdXV12LhxI5YuXYpZs2Zh1KhRuPDCC/H1r38dZ599NnNkN954\nI+655x5MmDABq1evxplnnokJEybg8ccfRyQSQTgcRm1tLU499VTdcNraxNwmJgulpSVoahLvTqdV\n5VY2vXibm7uQl8uuRA+mZ3CFoKcnypy+9o4QlzxRBmUIRTLCS1b2zMTV1NSFiMGqRWtrEL3B1AGv\nLxpXDb+5uRvRaF/Kd3FlQBaNxZXGxs7E9mTfgKlJJNyXEX5He2pZx+NKxjPRvqG0JP+WXh87u3oT\nn3tC/XmmKJnhDRLqHcrX5uZutHf0ZsSr9W6we+hZozLp61M/9NnSGsRwlWqrF15PbxRtSXmW/Gx3\nUvrNkPxsT29m3Q92h1Wf5QFreLGYet1UCzc6MOlKL7/W1mCK2ZPVvBpErX60pI0B0ah2HeJBe0cP\nRuQOLTpYictsvnar1IdkJaWpqQsdHeb67ra2ILpCmQqsyLyKRDL7n7Z29TF7sA6xyNPZ1ZN4vq11\naAGuqakLiz+rUX2ntTWI/IFONBTUb29tbSFEw/o39YZC4ZR3zcjf2hZKqUPJ9IT7UHuoA1/+whjP\nmZs4pa+4id4kQdc7R1lZGcrKyvCjH/0InZ2dWLp0Kf76179izpw52LFjh2kBBivFvffei/vvvx95\neXk4+uijcd9996GoqAjXXnstrrrqKsTjcUybNo0OFfocN7d6pdj01OkjeWwZS5HGJJLlccWtomWj\naKaviSREt/GGttSdFaltLVxEmmzhKIee2dqwfOMdalmyJJmnFpajan87bv+vCZh4yji3xSEY0FSi\no9EoNm3ahJUrV2LlypXo6enB5MmTcfvtt+OCCy4wHcEJJ5yAN954AwBwxhln4PXXX894ZurUqZg6\ndaoF8Qknsdsh25lht3T2oifchxHD5Lmp3kx+OOqZTk85N/G6lfL1gu2rHSWesABlsVT4uc6npyxH\nY4xhyQE3+rSq/e0A+s1yJmofRSMkRFMj+cpXvoJzzjkH3/nOdzB79myccMIJTspF+BA7nflf36vC\nG8t24+k7v2lLBt4bZW7vvHFy3c0BnUONyTcWOiBJpgBW3tEeSlnz+6V3K+3JIim6SRGcTjfqvCy6\nKJtCKAdemGxnA9X72xDpi+Os8WPdFsU3aBq4/vSnP0VLSwsWLlyIRYsWYdOmTYjHXbpoghCCW92a\nVe8UPWF9++NDzUF8uOEA6ltD6AplHqYBeKfZZGhmHxNUIJ3BCFo6e40flBDeeeLG5S2rttcnvet/\nZcKvKcyGsvMCegsXWr+t2VGP/Q39drs8Vub3HunC1t3NbC9JMAt7+LUteHzBNrfF8BWaK9F33XUX\ngP5LV1auXIlXX30Vd911F770pS/hwgsvxFVXXeWYkIQsuN8J6PG7F9cBAN5YthsA8PL0S5jed2rb\nk+FOFC7c8dRKU89ZipvZZZ2VSOxhJcpdBzsyvKpwQe2SG/6xOIKeb2KuS8UmMsiRPPRiQUmguOlh\nVzyzffaS1fuwZPU+02OCUbjb97Rg+56WlO/iioJXP9qFSV86GqeVjTYVT0a8nqxk2Y2hq4VjjjkG\n//7v/46rr74aP/7xj7Fv3z4888wzTshG+BS/dBRm+m/2m7IY35AkK83qTArElb+pGwtNRn24OYh3\nVu+zLVPWwrGIVYOSw4ZJCLxNxGTQo2WQwSxWZa091IFPNh/CI69vUf198+5mbKxqtCEZXyLRGB59\nfQu21jCuqBMpaK5EL126FJs3b8bmzZtx4MABTJw4EV/72tfwxBNPGLqgI7yB0wdOpHLd46AoTk0a\nxF0QoqS4qbPyvhM4VaR24lHLCYlahWcQdWGRHtLogQyCSCNzFtAX08/tf3y2B4DBDqmDBba1phk7\n69qws66NedeWGEJTiX7ttdfw1a9+FTNmzMCXv/zllJsHiezES6sJVpDCMoFxoqGoHC20XE4a7z38\nykasKj9s5VWVB52vRKkL0fbj550Crzcr0UVaMiLfWAaxIjgWhwi8KrcWUi3GJOOxAdJj4kqLphJ9\nzTXX4JJL9GcnS5cuxbe//W3uQhHukhMIWLoq2QjfuVoScWDQRh6JGluMFGgj0lPkt2qQtWiaz/CN\nZvJZx2bG4YpxvTw7KqZFUVge9j6y6teyoyiKvJMTydG0iT548CCuv/56vPnmm6itrUUwGEzcKPja\na6/hmmuuwcGDB52UlXAIs22puaMncQshU/gybGC7OK5o5683rMXVxGexic74TifRvHOEhz5hy5zD\nCwUsGbk5EvQXEmG3TXg9N70g/6sf7nJbBCZufPgTbNnV5LYYnkRzJfraa6/F5ZdfjldffRW//OUv\nUVdXh0AggBNPPBHf+ta38MQTT2DcOLpZJ5tI7rprDnbggfmbcOGZx+LG75/hmkxcSUrgH+ZuMPG4\n+xoRT6VMWHqSzSlEZpnWyqg7jg09CdNukZsTUT/bRHNcEVQgR30VtQsp66R02WbvLTAu/GwPzvli\nqdtieA7d69/GjRuH22+/HbfffrtT8hAeYfeh/huWVu2oZ1aiZVA+jcbguvouHsFwfcssTuavBCVp\niFwDrVTCcCFd51Ns1MC9RzozvlMrP1d2nv1XdIQKbpodOhmz2VZKph76yHOHMuEI5bXN2LyrCddN\nOc1x5cJvDdF6/onKePP5y3ug0CtaWzFJqLj4qxbbh2dVuv9vG/kFxhlZqqKimJdF0bl504/w2KH4\ndOth9FkwU/QSjW0hRKKpl+el59yK8sMYlp+Ll9/diS9/YQz+70cTnBPQQ5ASLRmtnb3YtrcNE04a\nJUTpfOKtcgDAJeeegLxcQzfhqfi7X/FP8iwmxKlJlZsrw26vSvumjgGOHSw0hQNxevZgtEfF1kL0\nWszaygaxEejgVB2b/txaw2f++l5V4u8trLczZhGGWtTy5csdEIMY5I+vbMRf3tyCqro2ofFYaat/\n+fs2bKq27izes4OQTTKTrT0KpD/KMl5Iu8WdlAFu1IHUKIc+vPnxbtS3hhwWxtnoWJFcPPegjBGE\ngmhf3Pgxs7i4TURVJDsxVKIfeeQRJ+QgBmjvjgAAWrvCwuNibfRV+9vx9D922I5XCu8cHDB1Y6HN\nntXodS/MSzJc3DHUPB7J04rvg/UH8KjG7WIsbN/Tgv0N5mzo1cjWyaVZKHus02/64X4GapXh3iNd\n+OFdSxCLc1SkLcpCEFYwNOc48cQTcffdd2PixIkYNmwYgH7b1h/84AfChctmojGxnYobHWuwtw8A\nEI3FHI9bi6cXbccXPjcSl3+1TGDvmhqu5vXUgmIXikTzIc3JmY53kDYOk9XHF2yzHYa3Sc1UxQWX\nEKL7MwWKY8qXqSblyc5Cm1BvH0oKC0w+PZRDMkwQBpGoKyQcxFCJHjVqFBRFwbZtqQMFKdFiUSQ+\n2LBk1V7UHMo8RW+WzqD1K6Ttk5qvm3Y1YdOupn4l2mZYXOAQpKM1h3E13o1VIL0orQx8dpIgb6t2\nDtaVd1kUJTmksIAEghuJkH7ITSQissMXBzhpFpBCa2cv9h7pwnlf0nf7Z6hEP/TQQwCA9vZ2jBo1\nio90hBxY1Gj+sWIvZ0G8iZDO2Mbl457pA1lcEbPUURMZkGFz7rAhufSmG5bES7t2Horwyuh4XZe8\n2LwOS7+n12Td6gN//9J6HGoOuhQ7IYKZL69HsLcP914/CaWlJZrPGdpE79y5E1OmTMEVV1yBhoYG\nfPvb38aOHfbtYgl3aWzrQVfInRXhrTVynvS1pj8Yd9t2xl9Lg4LEipo71zVr/2RFh96cdLOX9Eqx\nGxiYczDnmKqfaLHq0o69LbjhoY9TRZDEnoPtPhyVFifjbJuXRyGX0sZLgabuRJ/unijiDmXSoPlp\nRzCi+5yhEn3//fdj9uzZGD16NI455hjce++9uPfee7kISbjHnLcr8AiHQ1VeJYCAbQVIRFtmPXSZ\nIoPNAcRseuz6fXZ6nEhRI9Iit6KLlde2DAVHg54ccC6Hhcv3iI7CFkyHc111KamYEsI5Yw7/UN8a\nwsebD7oykY8rClo7ex2Lb8vuJmze1YRf/GUFZi/c7li8ABA3MK01VKJ7e3txyimnJD5//etfRySi\nr5kThOyoDUKi+qL0cPX0Nq9Z1pmR16lOXitf9aO3N/NwalVEbpSMT7r1gjHLttY0Y21FPbtYNkiX\n343Dkjxws3ou3XgANz78CRraTLiRZBB0sMV+vPkgFq/0l2khS3HNeH4t5n+4C3sOG59PWr+zAc8t\nrtB9hqUnfGPpbvzqmdWo3NfK8JZ1nlq4HbMX9SvPTu9kG1VNQyV61KhR2LlzZ+Lz4sWLcdRRR9kW\njCAIY7wybpvdXnc7PenKUY7D279+0rmdclW5ZXcznl9S6Uhceni36BTdj6J4beluAKnmT1pYaRfz\nP9yFbUm7Qn4kHlcMV0IHzQ70mPN2BdZxvETmky2HAAA7Od5nEep10+GANkYLJYYHC2fOnIm77roL\nNTU1OO+881BWVoZZs2ZxE5Ag3CCAgO2xhPcKq5XVLrXHrUvlhD2H2vvaAfJWOo+0pK2K2TaB8a5q\nJQxFX8EWsdsivhRkKmeZZDGHkcS8dnRMTexkbrNpsv3qmVWIxxU88Ytv6L3EKXL3jOXLa1vwxFvb\n8ONvnYIpF5zomhxqGPXxhkp0Z2cn3njjDYRCIcRiMZSUaJ9SzBbiioIcV66HIwhtvHCJjRvDV3In\neKQl9QCQ3QNqrJ4oJR6+AfCRT01J7ghGMOefOzD1W6eg7NhiDrE4i6K4b5aUApOHGysRSIzX5Wdg\n8PI1v7Ohqn+VfOmmA9Ip0UZ9vKE5xxNPPIF/+7d/w5/+9CesW7cOPT09vGSTnpfeqcTCT2tTvqvY\n24qbHv4Em6qNt6gIedl7pBPP/tOelxnLQ6oEg4AdfYB1JTElLkXVX4BrhCP2Lv6hlWhzvLemDtUH\n2vH4gq1SLwQm8IKMJnArr9NNEIzEYPNkqd2Ben5ty0ICPNGeDJB5AciojzdUol966SW8++67uOyy\ny7B27Vp873vfw4033shNQJlZtaMe766pS/nuo40HAADvrtknNG4ftAspGWwPNYc6PDERMuxaOFYU\nGescl5XRpEB4d9bMA5gfRjwD1JI4OBDxSr7TypICeYqOucoJkUKb8toW3PTIJ0zvOCmjJMWojiyV\nzCW8mHxDJbq1tRXLly/Hp59+inXr1mHUqFH44he/6IRsUiLOg4OCRo1TzHFFwcJPa7Gv3votgYQx\nzKuKZk2IJewZeCkhZlKWvPIsMic0vXPovDN25HARomgiX00gVHFxYcyMiZHZeqS44VPSAjL2kdmG\n0xPTw81BBAcPE+rELXvdMLSJnjx5MsaOHYvrrrsO8+bNo1sLBbFqez1efm+n6m8769rw7po6vLum\nDi9Pv8RhyfwFz45CAf+xln2VyTlXfbzCl6lPzM21V4LsK9G2ohOPTIXDAHex08PzZrbIg0H+MZWf\nzU5XXsMBd6uZk02/J9yHe15ch6LheXjqjot0n5W9SzJUot9//32sWbMG69atw7XXXotTTz0VX/nK\nV/CTn/zECfl8Q7Qvhvy8XM3ft+n4PozYtNskhnCjQdqJkuldhtFBfct96O/y2mZ8/ugSjC4ZxiKB\nRmQaf5t6l0OBcQhD9tUQN0nPmv680vHO4cGsVNTv/pMfRYw3FFYZjAigv958suUQTi8bjePGFrkp\njqfwouIdjfVfrzPonm+wt1DrZ12vvwYYmnOcdNJJuPLKK3HLLbfgiiuuQHl5OV588UUnZPMNb6/c\ni5tnfYr9DV1ui0LwxGIPouv+S5L+4om3ynHPi+uMH/SAd4qUONOy3v6qlCQF5gKeP8TFiCxtUxY5\nWDCjCO2r78L8D3fhty/o9zt61c7zddLFsjWTd72RPixZvQ8xVrdEaeSlOehPjzuuKOgJ9yvYstd3\nw5XoO++8E5s2bcL48ePxzW9+E8899xzGjx/vhGy+4e2BW5W272nBiceQi0DCPEb9WuqhOb4MdmJm\n0OuAHesDNYRIjt9qHknej3sGJelfTyGZyGYVCyXxj4uYcd0MIGTi0hBCBQfLd/GqfXh/3X5h4Q8m\n5am/l2NbbQue+MXXMaLAUE11FUPppkyZgvvvvx8AEIvF6LZCG5BvaX9huu/ym59WFUwP6ozLClzG\nB4GDDA+TaJlWWlhEkUlu3oUsVdI447g7Mdky023rFkWx7Z9eBGYkau3sFS4HgMRNlI1tPSg7Rm6/\n8oZK9Omnn46f/exn2L9/PxRFwfHHH4/HH38cX/jCF5yQz1dYbjjytTdf4phSIMGgYstOm3FpN+OM\nlqCMFtpMOImsl3avNvP0bk1RDHYmJKj/rHhQ5H5UnHO4YmPKMUoJ9U8mjNoHkYTCfqGVFepbQxhZ\nmI/C4fnM7xraRP/+97/HTTfdhPXr12PDhg347//+b/z+97+3JKifsNIIqOH4C6YtVQdx9BCcB7QL\nXaVBokbpgaxUxQ2l2OmVPC8q/oOoyb5jbwtCg+7FRONoUcnTnrXQu+Lca9XMkQmZ4CjC0RhmPL8W\nd81ZY+l9QyW6ra0NU6ZMSXy+/PLL0d7ebimybEfGLRy3qNjb6rYIjqCq0OpWA+s9ht3aZUf51q3a\nSeG64hKOg1G01mDhZeXKLlplbpQlXIrUhYyXq6zNCaPlAvOxN7fh8QXbEt91dIe5SaYihIkbCxUv\n6L9c4F13ndxZ4CW6VjBqVUB0+noHvJ8FLdrkGyrRw4YNw44dQ9cjb9++HSNGjLAUWbZDOvQQf35z\nK6rq2twWIwVLjdXlMrXaqdkRW3aXQ+nIJK1eecnQPXAZJJknjl7AuVpkfJiYz0y09vDQ5V27D3Yw\nhukmOtd+OyiFVfTME1x1pSlh5ilQJJu8ZmJoEz1jxgz84he/SBwobG9vx+OPPy5cMD9CBwtTaWgL\n4bSy0W6LYRnTHV7ac5o36yk2OwwX6pcZcRWNvxPfCe4keVz7LXtHLhu6nhY8mpdemzwC/qy3NIym\n4aqjaPtBxOJxT9dTQyX67LPPxgcffIC9e/ciHo9j/PjxKCgocEI2KfFiR0oMQaXXj6oya+NllnGN\npcNkKS9L5xTYXyHSyDy4Bsz/qFponKJN4zIvkBEanVBkkN0pGcxUCwmyw7Pwyrvk+vDzR5ZzCtUi\nNiunpjlHQ0MDbrvtNnz/+9/H/fffj2OPPRannXZaVivQdqEZdCrSdWZWBHI9Ea4LYEzKUrQb8up4\nxLDZJukmQ3VaO7VtbEUsRLhRDG1dYbz87k60dQm0J9bAj9XObFP0/DDqw7LjhYxZc6gpiO212jdK\nayrRd999N8aPH49f//rXiEQiePDBB4UISBjjuF9PwhTyeudwOEIGFGR3fqhfa+svZE9POBqzpvim\nJWzeB9VYuf0IXv1oFx/BrInhEbwpdTZhSs9wuDOVoe9esnofZjyzSvN3TXOOxsZGTJs2DQAwefJk\nXHHFFfylE0yotw+Fw+W+7YaQB0vtleP8Jm7iFLsetkURNCmwkyYeK73JIRw7ptB2eFph28ajc+UM\nsXUzxf2DQnc9uxqdoSie//XFyMs1PFsPQD1Jgy7iNu9qwmNvbsX//OeZGM7jdjWO9UBRvGGA6Had\n8DKUde6i2YPk5+en/O01M47VO47gtic+w6rtR9wWhfApZoen9AFCa4zcsafFggzmvrP6FHdc7vFz\nc+0fLPzK6Udbjt9AvyQcoDPUr/zGYnoZbmLHIMkWaMfeVqypaLAvnEt4ytTQS7J6CQv5yr3LSgtw\n+ZZDWPTZHt6xcEVTifa6rd/K8n7leUW5KCVanpa8avsRzPtQ7EEeQjx9sbjbIgghoy9xum/hFF3h\nsP5VxpJCby0oiCbzYKHiCaWMZY1WbTxMT2LciavVAOb6LMNYbkYEHlXGC3cx6NU7K0XFrXjdryYZ\nrK1swLJNB90WQxfNvaeamhpccsklic+NjY2Jz4FAAMuWLRMvHQ8k6EBE89K7OwEAP73kVOTnmdue\nJDJhrimcq1YgELAwQPKL31JQaQLEFQWHmoI4vrRI1aWjO8cKleQPlkMZJKD+tblQ9J6Xf/w3j3C3\nhS7UpPQdpYzrzvnIRGdgxCLDpCKdADKbjGOTMgbkk8h9NJXo999/30k5iIwO2R0xCPMo4Dvg2Q2J\nbRGG80A9EPlHGw7gzY9r8F8Xn4zLv1qW8ZgrNpo6EVpZuaKmqc9rH+3WzSO/9m0yJkuWvOYpRrZM\nMqJ9Du9MOpitWhMZSaorE5pK9AknnOCkHMLwYqFkDdlaOFqKm6Njg7nMP9DYnfmmzshcXttv172t\npjmhRDvnI1Y9A3lEryjqxZatVViP+tZQxncyKj5M/spNPMujnje395h6jiUqtxVp7tHLV5W4Qf2J\n9/Ct6wov2EaZxkdJkRrG0cbs01pK5/6GLuw60J74rHejJZNkVkdNlfdmvrxe/xXG71lxWwFIhocs\nsvtKcGarW+480CK97NLHGB55190bNdxRYlKgTT8pbpDhXqf0dpb4xiQE1exQs+cwH6J1YQjb+FaJ\nHoSql8R4occTyL1/3ZDyud8k2ps1Vq8o01PUaHK1jRd8lF9OgXuzeKWHd7aqHZZMJ9MmmlPc3HVO\nMwGKNmI3+pkhfr3Oxqtjilf6BV51XPMHfhkRi8eRmyP+jJhuDB0dHWhtbU18XrduXcrnrMQrld0L\neD0vOY92Xtk9se5Wrz/LFnxcw1McM7Gq/NUPS46LKx6vNwQ2rKZ2bUU9ttZo3xwmFMXYVaWUE2CZ\ntnKM8Ej/5xgms4NXEVvKfUmrV2N7D37+yHIsXrlXeFyaSnRlZSUuv/xy7NixI/HdqlWr8B//8R+o\nqt+qUN8AACAASURBVKoSLhhBCEGn0bP2B7z7DytjCM+tUmH9oQ0Zedkz2w9EPRy360w28fySSjz5\n93LV31xRvzKWosUEm4GisLV7U4+KzUGeEwxfqtpqiZKws5BQJFUqBu5c+KebSvRDDz2Exx57DBdd\ndFHiu2nTpuHBBx/EQw89JFwwbnil1HUw32n4ILFZgFZ5HjO6ULMIWQYOU5u3dqqKyrsst9bl5kg0\nDDotiqZBpIdhPKDHxbwmLQzRPZ+Z8OMSrvrKIJFThzIJe8iwEeDFaqCpRHd2duKCCy7I+P4b3/iG\nJ0w6RFcIa6uG1uLyYsXKCjgXjNkriLVEkMEcxMiDhQIFOTIp0SbhdYGIfxw7eV7118dEkXgl/d6s\nXdbwSplokyWl5aNkao7asVgM8Ximn8J4PI6+vj6hQvFESjs1QdBs3iaC8i/DllKjp+dlmmEmFFVl\n10L0Vt754gmjWGIw/aRmvjLExgrPNiejGzg/w1R2Lm0g1NV3mRJFC4X1BQHIIEMyMo6Tqm3f4e5g\n75EuPLWwHKFe9/Q7GcvGCE0l+vzzz8fs2bMzvn/mmWdw5plnChWKB34ajvyUFj+hQI4tMKdR7ecy\nzEOV5A9DfyrAuV8sFSGWJsmTk/SJitni82LnThhhvlAVZNohOzHp+cPcDejuiQpxPehY38X7ALbu\nj/J3yDL3JVt2N+OJt7bhb++rn3uT8bZHu9hNkaaLu1/+8pf4+c9/jsWLF+Oss86CoiiorKzEmDFj\n8Oyzz5qOYNu2bZg1axbmzZuHuro6TJ8+HTk5OTj11FMxc+ZMBAIBLFiwAG+++Sby8vJw66234uKL\nL2ZOiKIoeG5xBc44aQwumvg55vf9gNeqt9fkTcdMh6IobLshzHli1URIUOZX7mszfkj+cS5r4X5e\nTTUOr7f8fkS5uEsPN9QbtR6Yyf7HA7pn9mGyPqU/tmr7EYz/3EgcN7bIUrQ1hzpQc6jDZNzWKr0/\neoB+NJXo4uJivPrqq1i3bh127tyJnJwcXHPNNTj//PNNB/7CCy9g8eLFKCrqL8wHH3wQ06ZNw6RJ\nkzBz5kwsW7YMEydOxLx587Bo0SKEw2FceeWVmDx5MgoKCpgS0tUTxfqdjVi/szFVifZTaRmRTWkV\ngJXsc0of8HLRZsjOeBDNdvy6YTirPfhEf2TGa0paejGZOhwnRBLz8csavgKTJmbiRMga6ltDeOnd\nnQCAl6df4rI02YHuSaacnByMGTMGxx13HMrKynDMMccwBV5WVobZs2cnVh4qKysxadIkAMBFF12E\n1atXY/v27Tj33HORn5+P4uJilJWVobq62mJykvBar01kPbw8F4h3VWBdoxA5WLvR4nmsqnpVsbaa\n37Ik164cbo0wbLsFivv1y+34pcNkhlioYD1h75xX8wuaK9EtLS34xS9+gd27d6OsrAyBQAB79+7F\n2WefjT//+c8YOXKkYeCXXXYZDh48mPicPOAUFRWhq6sL3d3dKCkpSfm+u7tbN9zRowuRl5eb8l1B\ndzjxd2lpCQry+3/Py89FaWkJ7FBaWoJgTxRP/30bDrcEAQD5eezhlhQP03xn2LA8zWdHNYdSZNFi\n7LhijBhm7xLK0tIS5vmHmXxQe6akZDhzHrI8r/asVtpKS0sQZuzsR48uyii3dMaMLcoYxAoK8lRl\n66/XqfPaQE5AN81jxhZhdMlwAMCwgn5Z8k3U+UAgM9ycAnN1pzip3EaMyAfQ77YuOby8pPbRHR06\noDx6dCFCfakHlvPycjTlLSwc2pEySlO+hvzJ9SxZFqO4kxk7tjjh/WTEiPzEO4F8tvamVjaJNAbY\n6rcZWMMzqm/J4RYM1P28fP08LC0tQe9AvisAxo0tZpJJLbz8gtT+P99kOSYzbmwxigvVdzxz0zzl\nlJQMx1GjClNkGDYsP+WZoqICw3wwYvSoInSFU+vo6DFFKWrX2LFFqO/oNRX+UUcVIh5QXysLJL1z\nVL3+mGuHwqJhGDlyuO4zo0YVIhyJJT7r5dWo0YWqv5eWlqC4aJhuPKWlJSgsMt+niGDsuBIUj0it\nO4PXfhcWDo37vZEhhVhPzpEjh/q3th5z71ihtLQEBWl97IgRBZbiyhuWWX8B9XFJSxY9ikuG6pvR\ns7lJ7dhKnmmOAPfddx/OO+88zJ07F/n5/ZFEIhE89dRTeOCBByz5is5JuoKxu7sbI0eORHFxMYLB\nYOL7YDBoqKC3tYUyvusMRRJ/NzV1IRLtb5DRaAxNTZknnFloaurCP1fswYqthxLfRfvYw+3qDmu+\nE06bQSY/29ExlF69OJubuzDcpCKkRVNTF/PKhZpMW3Y34dgxhThubBFKS0tUn+nq6mXOQ5bn1Z7V\n8uXa1NSF1tag6m9atLYGEYnoz/xbW4IZq5XlNc2qsrW1hdCXpmAqcUU3zS0tQfQN2ExGon2J/43y\nKa5khtvaqd6xpZNcbj09/XHH0uSMJLW75HxtbQuiszP12u9oX1xT3lBau9YjqlEWnZ09qrIAQJ9O\n3Mk0N3cnyrEnFB0Kz2SeDRKJZJZNT89AGhW2+m0G1vDiBvUtOdzIQJ/VF9XPw6amLnw20HeGIzE0\nN9tT2JqaujL6S706pBlOczd60pWZAWKx1HbY2dmLgqQJeFNTV0bbDwYjhvlgRHt7CF1dqe2jtTWI\nY8YM2be2tATRqVLv1MLvaA+hKxjJ+B7oX9EefCe9TfIkGAyjo0M9nwdpawslxmxAP6/a20Kqvzc1\ndSEUCqu8kfpMMGi+TxFBS3MXeoan5cfAEBEMDo37YZP50dEx1L+1t5vTFayg1u4G+2fWuDq61csp\nHjfXjo2e6e4aah9Gz7YnyWIlzzTNOaqrqzFt2rSEAg0ABQUFuPPOO1FRUcEcEQCcfvrpWL9+PQDg\ns88+w/nnn48JEyZg48aNiEQi6OrqQm1tLU499VRL4Scz2N/x2sqK9mW6+5MN17ftBugJ9+Gphdvx\n2xfWuS2KUMxmt9Bicb3QteLXsucQJojmNoNelOZ3XTJDWb3jCH71zGqzAWiH7HYR2sQNN6JN7WlK\nH2cRLJnp8DDtUUlIQCVspsPKJpqiDHUwmy0wszntXkdz2XL4cPXtl5ycHOTm5qr+psXgNuj06dPx\nu9/9DtFoFCeffDKmTJmCQCCAa6+9FldddRXi8TimTZvGfKjQDajOaxONyTvhIF+8YkjP1bgEg3IC\n3rIMJPbFd3byDdZjVdPq5T48iuNIS+ZuJE9isUyl1UhuXtWMZx+lO4Ec+P+1j3Zh6aaDOk/alEEx\ne7TQJF5rKGnI1DUS9rG392+CE044AW+88QYA4KSTTsK8efMynpk6dSqmTp0qWhTuxOJx5Oaw3zJH\nuAfXVTPOyzeKzjn2gOYvqc+YJdn+kBVTyU7zDa3yNb+4bGDaT7TmBzb00iPDaiALXndVpye/WwsB\nWgq0LQ83Bg+LVKDN4uxuhrfrrR8QXgIMEy273ZimEl1TU4NLLlF3kdLY2GgvVgFkZFniCzHFVXu4\nEz9/ZDn+9PMLLPtjJLIDoa6vnI4wPSrNrWJtIZzWvbLp1lL7sOcV88qpJMq3nhTx9K0UF0W2E/Vn\n2w7bPmzOA743exJ+hVs9cbCP0Wxd77//vmNCiMCpbfstu5ulUaIlGZs828mx5h/v7O6/mCWVULgP\nL7+301xcLm5zZmztM5pKW6WxvQc1B9sx+czjNOtdykq4xfhT3rORzXzsswnRZPiJBjIqj7DyUgk3\ntQ6bnxZuqm7iIpIdeI9L9oOjhmaVNo0DgdmMphJ9wgknOCmHZ8lYsRCCTxu9LFq/QHisgq4sP8IY\npzXsFEf61rhWs2DND6PnZzy3FnFFwQmlFt2mWWla/q+2TLCXqSRoCPLp1kPo1PBoYSW8bMdUtjDm\nXSyubm5jzk7f3YIy28+aNjVzMDl19ZneK6yYdQmX2cEVCd8b9PIqLM2FNZUI+mJxvLCkArsPtvOJ\n3DTUizuKafcc4srF7XmIdl+lJP0lTshBl4XBXm1Xg27nUQpSCWMPqwcLZUGtJJrbe/C399Uv+3Lq\nYGE6AbXQ/VONLLH7gLlrqb2MlSJ2ukl+uOEArv3DB9zC41atGfpZu2c7fKtED1Ym0X2N2orb5l1N\nWFPRgAfnbxYceypZ3q/ahvnQmxAp5Ce50zHjPiv1Xf7yANb3aiyZfQky55ABJ3R8EXHwmqgl++aV\nBdnrjBvYyRMfzWMB6Nf9qro2/H15rdD427uy28TD/RMHHkFr3FQz5+izcLLb22s6hB5O9dl265Ad\nRUTPJtrWoGXy3eoD7djfoO4on4eClbJaYcfsxaYcod4oNu9qxle/fAzycn27BuIMjKtVbupe6aJy\nkcaxQYeze0BF0VxypXE0lUde3+K2CO7g4JK8b5Ro0VuLWo1c7QY83jNds0mTZYbt9W1es/B28fX+\nuv041MR2a6KsOF0V3165V/tHSdoFD158Zye21jQj1BvFZV850W1x+pEgf63sKKiJ7dB52KxClnHJ\nC1Be8bK/dS4j/b+U4YNKSQ3LIVzO6A1VfFxHik6GovF3qgzqvyiK4oKLOznC4MGew/22oPWtYi8b\n8RqRPvfNMLQOu7GiNh3I8BYiS4XkCJfFF4+u32TJupOU2G1LvlWieddJquP8cWUc4L1L4EKcKUEn\n9wD27TmEYMvrBz8x1HG6YUuu/FgSj9lNNP9MsOIlSU0M3XOyBlG8s7qOWQYreFGBluliHolE4UPK\nEECaCgDyziEjbrY7v85Svd6ZeUF+IYOXiSCZdBoP5CO3XUZPJJYwgzCzNVU/0d6tN6w3nHJ8VEr0\nyjKlf7CQUK/0L9o7ldwiMP+ozTzzvRItulLJpOB6uaOVASu5x3l88B4m3HC43bHrtQuJmq808DJL\n8CJ6NtFu12OCD34rRz+lxotp8a0SnS2H2wgiE0XlL5a3eEqQ9r3COIhxEGpDVSOeX1Ix4GHBWoD8\n/JfyCkgM4UgMP39kOdtLkqdJC6ZFB5VnHR1hUhYonT9X4BW8bs5gV36vp58bLPof2UQTg1C/qk+0\nT3+FreaQAAf+DhaKagcq2ppD865t9b/dqKOV+9qwtqIBDW09LsTOmYDq1RueQogCaGPRpLsnisY2\neQ5q+k0RMjNxdXR1WOLG47dV8mzANy7uNPFBnTTdpXosrU6an9Qe7sCfXtmk+8z8D3YxhalAMeWS\nTmQ61YJ2dJVKIy4114+ehlN6fJYrvuD2v6yAAuDl6ZdoPqMk/hGPmiKV4Z3DSzVJ4dsnKbC3C+B2\nzqnHH9D8JatwIQvsRkkr0S4S7Ytntf2hk2yqauIepqIAuTlyrxqxDLZ2OpOMu1a0Vp/77TkYZPLX\nmQbXJz0ScKRFDl/og/nuuez3mMAeE1caTPd9lMGu4nslWub6dfOs5fjNs2u4hSdzWtXwmrxq5OXJ\n3YSEKGge1frUFWZzWrQsKR6U9lBzEB9uOOCqLFZ5bME27mFamQulKym6XhPU5n4CJmCbdjWpmp1l\nyMahQjplNpKbEzBUCHl1KXQUyhvINITYFcW35hy8G5N2cJm/sFSQNp/fO//x5oM4+7RjMKYw321R\nDLGy6ul2n50ss0wDiJarJlddRUKuztsONQc7UHNQgA0/4SrvrN6H4hFpfaWgOhtXFDzxFv8JTToF\nki80OE5SeUb7YthU3YS+WDzjN/PB+aRTg/tpKa9twcnHj0TRcPP6CtVuk1gt2s27rJkRWLKjlVBD\nmP/hLvzqyRXqP8onLjsSKa6DWM5Wk/Un9cwgm79PVtlkqdL85NAOKBZXMOftHZYuDsl2LOUY40t2\n64DZPr27J2oclj1REpTXtnAKSZvjxhaZes70IoDdxEvUvP65Yi+eX1LpthjZTVK7fOKtbXiccafM\nN0q0cOfdFpm9aLu7AkiM1aIJR2N4fME2VOxr5SqPqEFVaB00CNup+q83/mVsm4sVRRsJluqNymP9\nzkbUHqYVZifIPKyn8yyHhsSr3kukA5qioS2ErqDxxIAH7rdwNvY3drstApHGnsOdTM/71pwjG5Gl\nczU94FgcmDZWNWL7nhZs39Oie6JeNArYDsk5hqL5wZkooVMHXMwvtQHW8YOFqt+lfuu1lWgppHVh\ntcSxqhNwfzHIDgs/3cM/UBsZ4rbJgFm8XOZq1NV34UhLEF/98rHaZeBB7xyeVqJrD3dAiQOnnHCU\n26KkwL2Rem16LRip3KdlYdmYyf4U7xySFFcWFpVQJFjYt0VGtVTUvkx+1q49B6gSSoDb/RHv6N1O\nj1n+MHcDAOCcL5a6LAlfPG3O8adXNuGB+f2+f3XOVTsljut4pTHZRdSpcubsU8yNiS5aczDVCVsu\n7kyG5eoqkEphmTbD5NW4VIJhqs+khPHDbuNwahaRtuGlgGN9lAiz7UCB4v0Z3AD+SAUbejttrtRq\nm5F6WonWI+DizV5+u3GKFbN57mjZGBSJqEHJyTSqJdHJ+HcdaE+KWJ7tukFkbZciJxaVvM8NJCGT\nHsdDFMVgVmz7YGEWLeiwoigKW/5oFYbHleusqSE+SqinzTlkQF1xYa8hPqpTmuTlBtAXG0qpTIPw\n68t2M7/TL76JTtvhhLpxhW4oHMNDr25O/9pkEDorExLVER6YugKZY5pnvbGVX2AaGLWAtZX1wmWw\n5hrMfDhclHQ7gaS97LNmwcS6ygYEe/rcFsM6Ajs1L8whZJMxq22iU/Bwr7JldxO6QvZPL0uzxcco\nRkd3GEUj8pGXa7wx8uTfyzFiWK5FwbRZuvEg+0sSZHeyCAG13olNm7VMJBpLDSrFJjpp4mQ9CtvI\n1nn7BaMyfX6xpC680gRn7T6dPFiYDZjdKVq1XXtSliVZ5VtkUWFY8I8SnUaiMXmgUJ5amL1u8DqC\nEdw5exVOOeEozLjmPMPnt9Y0OyCVeaRUzJIVWAENwNxqqt7qskSN0mT5Kbzy1MKrO/a04OgxhTh6\n1Ajr8QpAyrrPAFNRKC4aY6Q7AVK9PpEwi0zdD+E+auMRy+6Zb22iBwdHai/OY94mWkFTew8AePL2\nNbPDqtA6aDAiiB4wWINnlYen6uKVwTNZzFBvHx5bsA3T56wBQCttWlipJ6t3HMn8UiOD3TxXaJaa\nQ97rQ7kjWZk4gVf6tWRkF5ll98w3SrRUhWJCGJbrvmU9EJXtPDh/Mw7I6CzfYnXh2Ya0D2C711IV\nKBkDDpNHAC4ymP2yn0hfTPtHwhSN7T14+h/b0drZm/L9thqV2/r0itnuwUI7Gxjppicqzzwwb5P1\nCCTjxXcqsaGq0W0xhJBSdjS0pyGVJmcK3yjRbmF1NSLUy/8GJ/lnpGmZZdJFHMGI6HpgKnw5D5Da\nQdXmnBFp7W5tIHv5/vXdndhU3WTp8PAgfNLIJ6Mi0Tia2nq4hCUVSZV99Y56PPvPHUKi8ZuXFK+l\nx2+Lgr63iZbK/jIJI6nckprLRSYsYfirPakjsDAN65HgiqRVfJoe7ljNOXnKb8s7gsC+JMPJtpx9\nlszoZVl44NBrJBrXfcco291UVpLr3p/mbUqkyS/wqvKmhhOZm5fMsnFEpmTarXv+WYl2aeDJYVid\nisUVdIYipp61olvy6ORvevgTxIRdO0xumpzAar6aVRIVlb/Tm4HaM26jKocMkziWOadshrguYHUy\nk5l1ztZMXkOU3xRox/FIE8rGubQX0+wfJdotGLyKvbFsN+54ciV6wh72cWkCD7YDYShwOz+cij21\nIWgpOm7mhc2FaHcUWA8ozU6LyKsOZYaj41GGejVXePLv5Vizw7ynBFNt1OWi9KKi6GfsFod/lWiH\nenYrA2uXydVoZqRvnJmKlt/soxzHcAvaJVKWohX17xmD4YEdZYiPOYcJ94AcYsk2HFFM7B4s5COF\nL9HKm601zXjhHb5+xmUuB0v9k8wJUiMA4Q3WSa3CN0p0epE4lYmD8fTF4oiaPEnPYgKSEglhmWzI\nQqdWBFMuTxn4sy+WZm+qGwB/mUxho+MWt/qpjxfqreMra4IKQzcdzsyfNF+j1Ut/QotIYmA7d2Ov\ncfn2YKFTDGb//z2xAuFoDC9Pv8TwnZycgBBFQpZ+ljr8VEQeblULWVEU9MXiyMvNEV4WWl5mtBaf\nmVdaOMqvFhTLEMbFnMNEeir2taK9O4zJZx7nDS3ao7Acon5reS2GFaTelEr26XxxLDd9Nj4lJ8fr\ndTIWV/Dc4gq3xWDCPyvROt4AhMY7cAiP5bBHTo6Yiu61vkFRPGHy6TkONgXx348udySuPs1DqGJr\nY7QvhnDEwQNWiuKYp59/rd2PF9/ZCYB0aDXUJ2Liy8ZufbNqShSw8S5BeI11lQ22wzDqNxVFSUyi\n7bYs365E81bOtDpQKy7hAol/7FF7qAN/8pCDfVKYnYdF8bOkI2odINQyg2Z1cafBbU+sQLQvbvxg\nWtzpsFTJwTR9vPkQrrnsS2xxp4kQicaQn5fj+ZUjWemN9KEzGMHRowsT35XXtuDWxz7VfMePpjae\ngdME1dy5Qq9MSLwiJzuiU2YU/j0vrkNfLI6Hb5lsOy7frESLRmul2Yo3OCXxjz0Wr9qXFrC3Gp23\npJUTaf2ga/i4U5VWJwlaAx6zAg177U4BEI2xx6lGJBrDLX/+FLPe2Mr8bjvDTad+xUyVv+fFdZj+\n3FqEelM9ISUvhqiFY7Z6WGl3tpqqnM2csMDDr23GynKVK+cJxzjSEkJT+8ANpjbblu+VaF59D5dL\nSAbgFVTEY/5CM9ItqQLoJ0TksJlik1W5dxtFUdDd029HvrOujf193gL5hPR8ae3sn2wEe6Oaq5MZ\necmQufWtIfMP2yRryjxLlvYb23rw8ns73RbDPRyo0OSdQ0LiGkvOpaOGOyzJEOmKiiydLYsClQ27\n2U7pk6qmAQxxW7LmMPF98mqym7q1LcVeoNxmg9bqgwhtRHUvakXxxROOEhSbPH27KHjtznqNjEuq\nsiUPRJ9VE/SsGv5XojnVSp4DmKKwWWVpDgQe00D1brUjvAlPO2rVRy0Ez4TkbSg5/bc/ucI1OWRC\n1QxDq6LoFW/GIoTCpnSnPXxU8TDdx60ORXLXULkwk1d+G3eSFweorjiPb5To9FUm3gd2eC4CcZtt\npgfktd6Bg7yz3tiC1s5e+wGJwsGlBbUaL8ScI/lvU7Ydmh8cRU3UXQfaHZeBqW9KkjnY6++bTp3G\nHR8f1iDzKI54JCt57gxmG2wHxu3lmm+UaNFoZrSlg4WMKx4+xq6z+cp9bfjHZ3s4SeM9DNs/Swfh\nwEDtti5gNXoFfGT35yDndKo4xZe+BsEYbHrPZfy6Nbn9WWdS4ZZGyXeWrKIoChrbQnhhSSU6Rd14\n7BCKh/yjmMG3Lu4GEbXoay8wTnKldRh+qpgsxDTdrClZ5ULMsZU1lRsLdR83+Mz0sg282D5kltkL\nbSuAgPYdAjZy10rKZS5LGXAqf7xaDnPersC++i4U5OfguimnqT4jf4v0H75dibZSmSr3teKh+Zsy\n3CLpoaq4GGgW3b1RNLf3MIerEpGZpxxHSyz2lRuOuNi7iJx3u10D3I6fCTvXfisKuKRWUfy6WOYY\n6jbREtREGWQgfIkCJPSS9DsrZKl18biCl9/dacnrkJfx/Uo0Sw0b9Nu6ovwwvvOVE1N+4+ni7r65\nG7mFlYwUAwkD3OT1VrIdhcmaQ1AEHquWmvBKB5MOLXHmeaG/0ZuwOC2+nYOFHshqodzw0Mdui0AY\nsHN/G1ZuP4KV24/g5emXuC2Oaey2Ld+uRNtZeWQ6/U1koLXyKioLzbhZ8y0uVMzkGFmvH3nmnzuw\n53CnpbjsYjcs6gPkQJ4Dgc6Y02VFteO00WMuLp/lqCTJiTFcRuWFCbhZfKNEi7B7c5Uksf3i4k4N\nHkmQvUG6JZ4TfoXN5X3qM6t31IsRxowYNrKER1+iGoJW38XoCtNpXLOJZj0AqHXZis2DhZkB2nxf\nL2iZKwIhhPRbXxO9gceHfb/VZd+ac/CuZ5qrqyo1wrE6ku7nVPLKmWETLbm8XiCln03L0M27mjD+\ncyOtBSbyHQ/CyySa9VAxtRE5sTJ/kH2yT7iP2SrSGfSOh46aQx34ZPMht8VQJdgbtR2Gb5Vo3jhu\nP+dsdHyRRXgFnp+1G/H7l9bj/psuwPHjijJ+64kI8iusqP6p/bid+sCx4cmy0JicpB17WjTLSZZm\nJBv81udt+Y0xDI0ncu9J2Kf6QLtqHyYCr+fk2ooGrK1oUP9RovGurSuM++ZuQIfECv/h5iDy8+wZ\nZPhGidZeKbYflqIomgG52iA97uJOhFKSjXy0YT9+9t3TM39wIF+8tLpmR1Z+altqSI8t2CY+UsG4\nIebF5xyP5VuSVre0PALpLBnblZt1NdojxekK76ze51hcHuqyEuhNohTND+6ysvyw1Ao0L3yjRGfC\nd0qmWTeFnSZJNoqWaHppAvNZ4n8/zk70aXqDggjvHKkmJPbDlajfF07/fNxcimVffXSr5SoKMKIg\nN/U7zWd1lI90m2iD543lEmkULS5oX+ExDTm9DdkZDp/95w5sqGq0JU82YrfKuKJE/+d//ieKi4sB\nAJ///Odx8803Y/r06cjJycGpp56KmTNnuqtcqWRq4fB8W+/bwmwpy96BCCpSyVPtarGIVsREJ417\nU7IaoguFGI7EsO+IeU8mTiN7uxMNc3eW7RlGGKLpIEF7Mzzxg9sKtNqk1OyzXsZxJTocDgMA5s2b\nl/julltuwbRp0zBp0iTMnDkTy5Ytw7e//W22gAUvAkw8eSw2qlRSYQvRgsJ1FcftyrPAKFoHJfGP\nwDh4LEU7hNc67j+/uRV7j3S5LYYhMrcwr5W5Fj5JhnDM7vEQDpAl2ey4i7uqqir09PTgxhtvxHXX\nXYetW7eisrISkyZNAgBcdNFFWL16te14BheyrdlEZ5LDsjLOe1QxGbcsdda0WYDCKaskHyndWg1m\n3V42bWaQ/JzGKxeedSxT3LLDswTNFovMCnRyHQhHYzpPiojb7JcGtqQOezeSu5ciCMIKjq9Ed9nV\n8AAAIABJREFUjxgxAjfeeCOmTp2Kffv24aabbkr5vbCwEF1d7g4eqsqElranejMLDxkM4lB9yX68\nXsRMsgNSr5eJwy1zi1Xb63Hj984YeMaOnanlV4USsaE4ym7rbJbGthAAoKm91/G4TeegAmh13o5b\n3clqb+0jTG2MSZKV762tQ2N7T8p3yX2DE37+RWJgfSIFumYyJnFciT7ppJNQVlaW+HvUqFHYuXNn\n4vdgMIiRI/V9244eXYi8vKGDJaWlJYjl5KR8Hj5gw5ybG0BpaQmTjEVFw1LeGTeuBCUlHarPFpcM\nT3m2tLQExSXDmeJTDbd4SIbDSYNUclz5+amHa0aPKWJOKw/S4+wLZG5wlJaWIJCTOphtrWnB548d\nmfKMFYYNy1N9d9y4EuTl9stSWFhgKWy7jBlThHyVE8r/n737jo+qShs4/pv0npAeQuiEQAi9FwEB\nsa2KorgIwmJXcC3YEVBEFEGU3RcBWZHegvSO9ABJCAkECKSQ3hukt5n7/oEzJiGBTDJk7iTnu5/d\nZSZTnjO3nOeee4out5OlhSkuLraYmVU9nK1tLHB0rH3aqOoxFJTXbcWpyseHsXHtN7NcXGw5cDYW\n/+Mx9/w8ExOjWn8PS8u/xyL8svsqL47pTHp2UZ3irM7BwYqyiruT37psixYtqv6Oby4+Wa8Ysm6X\nsO98Yr3eKyfOzrZk3a75vPSgOTnbYGVZ9Xg2Mqp5H3J0ssGklimsjBRV6wYnJxswMa7xtdW1aGGN\nhWXVcTJmZjWfhyp/fgs77euGex3Dwt9cXGyxtTG/72ssKo1v0kd9qeZ/4u7zopWlmSamM1ejNc87\nO9tiVMu51trGosZy6Lps9/o8Fxdb7DMLqzy2rqXOdXa2QWFat+OsPrEAVXKwe73WwcHK8Ka42759\nO5GRkcyZM4f09HQKCwsZMmQIQUFB9O/fn1OnTjFo0KB7fkZubtVKNDMzn5xKV3SZmfmU/jWJtlKp\nIjNTu5btwsLSKu/JyswnP6/m1pb8/JIqr83MzKcgv+EtMwUFf8dw+9bf5a38XeXVWsNycgqxNmn8\nFtfqv29O7t1JTmZm/l2tKcmZBSzfEV7r59RVaUlFje/NzMzXJNFFRfqZaicnp5CCorsndK9vWWtS\nXFLOhfAU4qsNQivILyE7p7CWd9Ww3e7x2soqHx/lNSSllT9/2fbL9/28ioraj9Hi4r9/u+Br6QRf\nq2V+1DoICEuqsWdUXbZFbh1/m7o4GZqks8/Sl8ys/CotOB8sOdFo352dlU9RcdXjWamqeR/Kzi6g\nopZ9VKWSqrwnO7uAnFrO89Xl5BRSUm2hhrKyCtIzah8ImpVdQEWp9os75OQU4uJso/X7mpvMzHzy\nC0rv+5riSttNl+dhXSgqLtPEFJd8S/N8VlY+qlqW1S4oKKm1/tOle31eZmY+t25XzcEKCmveFllZ\nBeTeZzvVJZbbhWWcv5rGw71b3ZUIV87B7hX3rVtFGBs3LGdq9CR6/PjxfPrpp0ycOBGFQsGCBQtw\ncHDgyy+/pLy8nA4dOvDoo49q/bl3tcg34HeR0+0GQyR+vsZVWFzOV78H3/X8nYGF+uvoGRRRv4S3\ntEyJsbHirwsg3cVfU8sPwO8Hrt/3vWKfrkaq2qUlKqnmO3UP6Kt18trqf9Omy0TN3bIl4tPklZQJ\nVdW0jVWSRFADLs4flMpdEHU1jWlT8suOcCKTbqOSJB4b0EZvcTR6Em1qasrixYvver7ybB1yUPlg\nk/76T82vq+E5XcdS19c106NJzqX+YVMoI3t5PtDvCI3KqvF5SXowvW/Vu9mJ0GSSs2pvoV2+66pW\nn6f21o8nsbYw4T/vPVTfELVy6lLKfV9TWNzw5WGbkpV7rurtuAu4nHpXi/H9pv/S+m/3U8t7VdrM\nS63FQN5mempvFEHX0lm555q+w2hedLBDJ/3VfSQ3r2Gt2g09kTXhxVbuqM/vI4fzVVMZfFSZPgf3\nVdRyK+xBy8krZfvJm3r5bm3PU3V9/dkrqSgUsDsgTuuY6qqw5AEtWV5PCzeF6jsEWQmK0N+ctJuP\nRd//RX/RqiVaixjuTJ5p2CvGNkX3uzCpadrP6oP7ZKPK7tWULqTkVZCGRtN0kuhqe5guEzZdjOBs\nVmr5rR7UhUFdWnQOBxv+YC5thUVlkl3HPp7ayM4r1XECXffWO0HQxgO7DV7bFPQPYH9VKBRNslFF\nXwzltzS4+aTuutOil6+9o44/ni7W9Gs6SbQuyaHmvv9UvIJwT1fjcrkal3vP19xIyOVQUCJvPO1r\nMJWLINTV5yvP1/o3SZLqfYeqXnc45VCvNHH3/YXlvgkqx2dwWXRVev2p6zorsNTwn7nRF1tpbPU5\nbym1mJ+xxhOjnk6WcjlH1xZGY3fnkMvvIWffbwwlLDqLwGvpevu9xGYSGqqguJy3fzxJSVlFnZPV\nwpIKXv/hxN9PaLEj1vQdD+r4kSRJHCS6ZIC/pVRTP5RGj6H27y8qKSfrdt27xeiyJPq+1mgySbQu\nZ+fIvt34iwdUZ4DHud6IZLnhVCp59rmTYUiCTJWUKbmecIubKbVPM/eg3Wt//d++CJQqVZ1eK9TT\nfX5UQ77bll3LALrGvMPRpU2LGp9/7z8BbDwaVe3ZWiZj0HFMDenOcef9DYuoyXbnaMjViYQWM2I0\n4Huak4wa5o4W5ENCj7ebxUEk6MhS//vPS14brQYW1nAb+H6VcUR8LtficvFr7/RAYxNqJ/dG/aq9\nOfTdxlqVBDjVslhQTd2i5Ngo8yA0mZZoXdKqh0Zj7Ch17d8jk9NDTcnYpyvOU9qApZLrGUkjf1/d\naXPrq1E8oOnw6iI7r4T0nKK/wpDvNhOEhlIqtd+/FboY/dRMNNWzhzazzOglCD18lq4Oi4ZWOU0n\nia5tRggdVMr6qNebazIhSRJFMpve7EH4+Jdz+g6hCn12uSspU/LZXwPAKodwMDCBuFSxeIXQSLQ4\n564+EEF59da3OtzCrM+l6p15optnfdDcVM4LxbWTYWg6SXQ1DdsBtRhY2JCv0bGmcJ7ddjyG6T+d\nIi6t7v0aRQXTcJJ074UiGkNYVBaHg/6einDr8WiSMgv0GJEg1CwhvYDzV7Vf5W7HqUpzxtfxcCsp\nU5KcIY6DOjHwuqBKdw5FLX/Qk3stOtecNdk+0Q1R026iz52nOe24B4MSALgam0Nbd7s6vafWnjbN\n52fTWrf2jlUe6zuBBli6vf79WQVBFxpyHNTlnepV1rQxb80F7YMRalTTmg9NocH3XivH6oquFu+S\ne790bTWZlugH22VZuxn7G2sHudfBX16hJDQqU28r9QnyZmlW7fpZEi36QvMmod30pjV/xv3f/++l\np7ldWNag7xFqVretJ93jkQGSIKURkmhtGUrjX0PrvSaTRN+tAdeX2kzPUc3mP6M49FdrakPUZbve\n6yU7TsXyn+3h7A6IbXAs2hK5mPzd1eKmENtNaN4WrA8hsB5dNNQkSarTwMH8onKCIur/PUJDyPwk\nVym8yrNzGEpC2hw1/e4c9dj3qr9FukdSXf1pfS4vXTkJik65DUBMsv7mTNU3cdqpXUFROacupWge\nn7qUgpEYySI0Y5m3SjgaklTv91+LuzOFXZ2Ik9MDUZ/GJ0M/6zXWrqR1I0ujBdZI31OLJpNEV2+S\nb0g+IIfb2lKtD/52ryLq88Sgi19Pm00gg81lcG4k3uJG4i3N4+R69NUUBKF+7rTLiBNXY5MksDY3\n1XcYdVOpEr9fHWdoFwJyyLF0pckk0Q+aHAev3dVi3kxPys213IIgGKgmlEQYEgmwtpRv2lNYUq75\nd10T48a7gajdiMDaXnoiNJk/Ks9So2dinuj70EmrqA4+Q/svbdi3qo8rQ73i00XUy3deYcux6kuR\nCoIg6JdhnpWbBjlXiQXF5fd/UTWy7YZXy++s8wRaz8Vvskl0g5b9luTVulnnSGqdZLKR6eIspVV/\njpqfvhSTzaEg/fVRFwRBEBrPfett+VTrNaoSnsxyY9lefDQwroYWq8km0Q0hIeMdppLqx5hUw98M\noRyCIAjNSU3zFQtClRUL65hFN1Z7mdhda9ZkkuhaT0g6aRW9158ezK5Vl0+912vUB5Y+dvzG7kJz\nv9cWlWh/i0wQBEEwMPdtiJbTPea71Sc2mTVYa8j7l65EzBNdi7+yyHr9PJJkmK0ENS61aIgF0a3p\nP53WdwiCIAgaBpNgCI2rUn2tqOPsHAqZNkU3l9SjSSTR5RW1r8qXX1TO4s2hqLRYiUqq9L+a52pd\nw7LOH6udSp9b21fXdOioJImTYcmaFYwik27rPrbGoFVTdDM5WgVBaBrEKeuBuN/PWlBcjlLVxFbx\nbbQcumnutA0tlXznetFCSVnFPX+Iq3G5pOcW4eFkXbcPrNZf7a7V3WRKQiLkRiZrDt7QdyANlphR\nwO4zdVttsYEr9QqCIDSqoyFJpOYU6TuMZufjX87pO4R7qr0qq/0vRgqF6BetR00iia5pw1bfp8rK\ntbv6vHsO5rp/ty7U93Nz80p0GkdjWrn7qubfIZGZhERm1ul9hjqNnyAIzVNufilnLqfqO4wmpynV\nBXKbuU7bn9ZQNoVoiYY6ZdFa75CVPvNGwi2KSypqflmj7Cl1+w5JQhZHXn1/kfPX0uv1PtESLQiC\n0Lz9Z/tlg0nc6kb/dbmhUakk3vvPGUrKas7XHoQmkURLoNPLnupLsi7dfllnn13nGJrW2eCBEr+V\nIAhC8xYalVWv9yVlFuo4Et27Vw13IjQZFwfLRoulrhqrD3Xl7ykqrdB+wZoGhtkkkmhdkwx1do5m\nSmwrQRAEQVvZt0sIvp6h7zBqVNd26Li0fOLS8h9oLCC/uc0bbVaS+2gSs3PUtGUb8vM62Jg34N1C\nY7cM5xeXE3Kjbv2nBUEQBAHgo1/O6juEKuSUpN5N207RDyYKzcfXlPfVI/FraIt5k0iiVZJut1cr\nV5s678yNsdPXPRZJb72orsbmsCcgVi9dK9Jzivi/HeGN/r2CIAiC8KDJO7muWWOFXHllR23zH100\nZovuHDWR7vSKNjT6OtDyispYvCUMgAG+7voJQhAEQRCaCJn0VtCQa0ZUtSW5Xk3RDdIkkuhDQQkU\nVutMXtd152uiTQr9wKa4u8cHn7uShv/JGKwtqm4+lSTpZUDve0vPaP6tVDaxiewFQRAEoRFUvpMr\nlz6/anJrDdfF76NAIaa4AzgcnHj3k3dNcVf3H1xuHeirh/Lr3mvAnblGq7xOJjHLJQ5BEARBMBTq\nPEWl0l/XTJ3RSx6g5ZeK7hwy8IAyxvp8anTybdJz9bsKlpizWRAEQRDq75Pl58iW5cJpda/g9bFM\neH2+saEpnEiia3BnijvDywZ31XGZ7AdJElm0IAiCIGhNnXdUT6DlkI9oG4P+I76/Ow3RYnaOGlVv\npdem1V4OfaINYxe8m1Ik0YIgCIKgU2amTTZd0xmtrzV00J1DbJWayG1yjgbGstT/MjmNdGtIJYMr\nZkEQBEEwNKnZRVyoYfEXCejv49b4AVWLoa4WbQ7lRGjyA4tFZ3Qw/q3ZJNHa/E5a5dAPKGfUZS4a\nFp3F//ZFNMotIaVK0ktfKEEQBEEwZLcLy1i284q+w2iwa3G5eplgQNscJy2niPScho0ja5J9okvK\nKu5qptfmx5W0mJ7jekIubaJttQlPL8rKlY3yPSqVhGRk8OOKBUEQBEFQk2nbWEPC+t++iAZ/f5NM\not/+8RQuDhZVnktIL6C1W92SXUmLFRCvJ9ziesItLSPUji5adhtr/1+0OYwKMVe0IAiCIOjEt+tC\nyMgt1msMcuvlWhN9xNdku3Nk3qraB/jU5RSt3i+Xrr3lFSpKddCKfDMlj9X7r+sgonsTCbQgCIIg\n6I6+E2iDoYe8rUm2RNdE9desEXFpeZibGuPhZA1AUUkFlubGVRZjkVOf3neXnqa07O8k+khNC8vU\n0ZnwVF2EJAiCIAiCjOl8DJRcWharqdx5VLREP0DqJPrr3y/wxa+BwJ2EevpPp9hzNq7qiyX9z8uo\n/vrKCTTApj+j9BCNIAiCIAiG4pXvj+v0834/cJ2oxNs6/Uxd0Hdqb5BJdOatYoIi0rV6T01Tr4XH\nZAOw83TVRUr0vVEEQRAEQRDk4lJMtmxWUQyLzrprsgSVJKHUQ3dSg+zOMXd1MMWlFVq9R1XDb2tU\nyywSd1YsrE9kuiOnLiWCIAiCIAhysNT/8l3Pfbf+ItHJNbeURybeYu2hG/x7fHccbMx1GotBJtHa\nJtB33J2U1pZE7w6I4+yVtHp8hw5JdwYVCoIgCIIgCLWrLYEGWLH7Krn5pXyy/JzOv9cgk+j6kLi7\nS4eiUpf0yol5eYWK1OyGTcDdUAcCEzh1SbsZRQRBEARBEJqLwuJy0u6zYIqpyYPrudx8kmjp78GF\ndx5LVVqi31lySh9h3VNhSX1a3AVBEARBEJq+oIgMgiLuXipdLTLxVvW193Sq2STRDjZmVZLoS9HZ\n3C4s1WNEgiAIgiAIwoPy3YaLD/Tzm00S3aOjc5XuHEu3390xXRAEQRAEQRDqotkk0XsC4rh4I1Pf\nYQiCIAiCIAhNgEHOE10fBcXl3Ei8pe8wBEEQBEEQhCag2STRgiAIgiAIgqArIokWBEEQBEEQBC2J\nJFoQBEEQBEEQtCSbgYUqlYq5c+cSGRmJqakp8+fPp3Xr1voOSxAEQRAEQRDuIpuW6KNHj1JeXs7m\nzZuZOXMm3333nb5DEgRBEARBEIQaySaJvnjxIsOGDQOgR48eXLlyRc8RCYIgCIIgCELNZNOdo6Cg\nABsbG81jY2NjVCoVRkZ35/l7Fj/dmKEJgiAIgiAIQhWyaYm2sbGhsLBQ87i2BFoQBEEQBEEQ9E02\nWWrv3r05deoUAGFhYXTu3FnPEQmCIAiCIAhCzRSSJEn6DgJAkiTmzp3LjRs3AFiwYAHt2rXTc1SC\nIAiCIAiCcDfZJNGCIAiCIAiCYChk051DEARBEARBEAyFSKIFQRAEQRAEQUsiiRYEQRAEQWggpVKJ\nUqnUdxhCIxJJtB4dOnSIkJAQfYehE9u2bWPnzp36DuOBKioqYvfu3foO44GJjY2luLhY32E8UDk5\nOfoO4YFISkoiLi5O32E8UJGRkaxfv56srCx9h/LA3Lhxg8OHD+s7DJ0LCAjgiy++oKSkRN+hPDAb\nNmxgwYIFTXb/XLduHcuWLdN3GLIjkmg9OH78OG+//TbBwcG0adNG3+E0SGBgIG+99RaRkZH069dP\n3+E8MJs2beLNN98kPj4elUql73B06saNG3zwwQds3ry5ySbR586dY8aMGZw7d46mNJa6oqKCn376\niffff5+UlBR9h/NAlJWVMXfuXL7//nvc3NxwdnbWd0g6V1payrfffsv8+fOpqKjQdzg6k5uby0cf\nfcTWrVt5+umnsbCw0HdIOpeQkMCzzz5LQkICb7zxBm5ubvoOSaeuXbvG5MmTSUxM5KmnntJ3OA/M\nqVOnmDlzJqdOnaKsrKzO75PNioXNhSRJ/Pjjj0ybNo1x48YRHByMQqHAyclJ36HVy7JlyxgxYgT/\n+te/2L9/P1lZWfTo0UPfYenU5s2bOXDgAGvXriUlJYWsrCxcXV31HZZOXLhwgXfeeYfFixczdOhQ\nfYejcyqVig8//JCcnBzmzp3bpKbNLCgoYMmSJSiVSjZt2kRBQQGlpaWYm5vrOzSdCgkJIScnh4UL\nF5KcnMzJkyfx8/PD0dFR36HphEqlYuXKlahUKtauXUt0dDQxMTF06NBB36E1WHBwMBUVFfz888/s\n3LkTf39/Bg4cSKtWrfQdms4kJyczYMAAxo8fj7+/P5IkMXjwYHr27Knv0HTi0KFDDBs2jFdeeYWN\nGzfi4ODAqFGjsLKy0ndoOrN27VrOnz/PpEmTKCoq0qqhzHju3LlzH1xoAtzpJ5WYmIiDgwMVFRUo\nFArOnz/P+vXrSU9PZ8+ePRgZGdGpUyd9h3pPkiQhSRJXrlzB2dkZIyMj7O3tWbVqFceOHcPCwoLf\nfvsNpVJJ9+7d9R1ug9y+fZvi4mIsLS2xtLRk69atZGVlsWHDBk6dOsW1a9fo0aOHwScseXl5WFlZ\nUV5ezs8//0xISAgxMTH07t1b36HphEKh4ObNm3h7e3Pr1i1WrFhBWloa9vb2tGjRQt/h1Ut6ejo2\nNjaYmZkRGBiIp6cn27dvZ9euXZw5cwZzc3Patm2r7zAbJDIyktzcXBwdHcnNzSUyMpLjx49z6dIl\nYmNjuXDhAvb29nh4eOg71HpLSkqioqICKysrUlNTOXPmDJcvX+bEiRPs3buX0tJSPDw8sLa21neo\ndSJJEgqFgsuXL5OYmEjLli3x8PBg2bJlnDhxAlNTUzIyMjh27BgtWrTA09NT3yFrTV3GgwcPkpCQ\nQLt27SgrK+PAgQMEBATQuXNnKioqOHv2LGVlZbKv06tTl+/MmTOUl5drLlR//vlnQkNDcXd35/jx\n48TFxeHm5maw59DqgoKCGDp0KOnp6Rw7dkxzXNrb29/3vaI7RyPYs2cPM2bMAMDU1BQbGxvMzc2Z\nN28e8+bN45///CerVq3Sc5T3p1AoCA4O5pNPPiE9PR0AX19fevfuzauvvsr06dOZO3cuW7Zs0ep2\niBx98sknBAcHU1ZWRocOHRg4cCApKSmsWbOGb775hpSUFM3CQIZm/vz5bN++HQBra2uSkpIIDQ1l\n9uzZPPfcc9y4cYONGzfqOcr6i4qKQt02oFKpaNu2LcePH+fq1au89tpr3Lp1C0NtO4iIiODHH3/k\nypUrAAwcOJD169czcuRIVq5cSf/+/QkMDOTmzZt6jrRh1q9fz+bNmwHo3r07JiYmdOrUicWLF/Pp\np5/SoUMHLly4oOco6y8tLY2FCxcSHBwMwDPPPINSqaRVq1YsXbqUjz76iOjoaIPqX6tQKIA7dydP\nnz5NZmYmVlZWTJkyhbZt2/L+++/z2Wef4e7uTnx8vJ6jrR+FQkF5eTn79u3jyJEjmvrB19eXhx9+\nmIkTJ/Lyyy/TrVs3UlNTDa7rn0KhICkpiWXLlnH58mUqKioYNGgQQ4YMYdSoUUydOpVZs2aRkpJi\n0P3bK9cRZWVlxMTEcP36dXJzc3nttdeIjY1l3rx5dfoskUQ/YDk5ORw/fpzk5GRWr14NQP/+/Xnp\npZdo3bo1AH369KF3794UFBToM9R7kiSJ4uJidu3aRU5ODnv27AGgRYsWvPbaa5qWy549e9KuXTuS\nk5P1GW6DXLx4kQsXLnD+/HlNOaZOncq0adNQqVS4urrSsmVLwsLC9Byp9tLS0ggJCWHfvn0UFxfj\n5eXFkCFDeP7552nTpg09evRgyJAhFBcXG2zf4ejoaLZu3cr58+cxMjKibdu2jBw5kjfffBNfX1/e\ne+89jI2NDeoiSF0ZHzhwgGvXrhEQEIBKpeKhhx5i2rRpmuNv1KhRJCYmGkzrZU2OHj1KaGgoqamp\nHDp0CIBXXnmFcePGAWBvb09paalB9o1Wb8c///yTS5cuce3aNSIjIwH47LPPeOKJJwDo3bs3GRkZ\nBjcQ9s8//yQ6OpqcnBzNoPnnnnuOd955R5N0ubu7k5ubq88wtVY5Gd61axd5eXmYmpqyadMmAKZM\nmcLTTz8NgIWFBenp6bRo0QIjI8NKsVQqFdu2bSMvL4+YmBguXboEwPvvv8+jjz4KoOmKc/v2bb3F\n2VDqOuLcuXOYmZnRp08f/P396dixI127duX9999HqVRy/fr1+36W6M6hY5mZmZw8eRJLS0vs7OzI\nysrC3Nycf//738yePZsJEybg6OiIQqHg8OHDFBYW8vvvv6NUKhk7dqy+w68iMzOTNWvWYGZmhqWl\nJTY2NkiSxLRp09i4cSOdOnXCw8MDc3NzduzYQWBgIPv376eoqIjnnnsOY2NjfRehTi5fvkx6ejp2\ndnaYmppy48YN+vfvT2pqKgqFgjZt2uDi4kJeXh779+/HxsaGffv28Y9//EP2t5NVKhWZmZmapOrQ\noUO4ublhaWnJxYsXGTx4MO3bt8fOzk7TfWXt2rX4+vri7e2t5+jrpri4GBMTExQKBWlpaezdu5du\n3bqxYcMGXnrpJVxcXPD29sbY2BgzMzPi4uKIjo7mueee07SeydXVq1exsrLC3NycsrIyAgICGDp0\nKLm5uZSUlNCuXTu6du3KqVOn8PLy4sqVK0RERDB8+HCDSaR3795NUlISFhYW2Nrakp6ejre3N/36\n9ePgwYMMHz4cJycnzp49y+7du7l9+zaHDh2iX79+tG/fXt/h14n6YsDU1BRzc3NiY2MZOHAghYWF\nFBcX4+3tjbu7O4GBgQQFBZGTk8OlS5cYO3asrPt+L1u2jCtXrlBRUYGnpydKpZJRo0ZhZGREYmIi\nrq6uODk5cfXqVT799FOys7PZv38/L7zwAi1bttR3+PeVkZHBN998Q2RkJMXFxbRt2xYLCws6d+6M\nn58fhw4dws/PD2dnZ7Zs2cKPP/5IUFAQ8fHxPP7447IfO5ORkcHixYspLCxEqVTi4uKCkZERjz32\nGKmpqeTl5dGhQwccHBxYv34969atIygoiKysLJ599llsbGz0XYQ6uVcdMWnSJHx9fTlx4gQODg50\n7tyZtLQ0Ll++zPjx4++bx4gkWoeOHj3Kxx9/jImJCQcPHsTOzg4/Pz9sbGxo3bo1N27cICAggFGj\nRlFQUEBwcDAHDhzAx8eHDz/8UN/hVxEYGMinn36Kh4cH0dHRnDt3jqFDh2Jvb0+rVq1ISkriwoUL\nDB06FJVKRWFhIRcvXqRNmzZ89tlnsk+gJUmirKyMxYsXs3PnTnJycjhy5Ah9+vTB1dWV3r17U15e\nzrlz52jdujUuLi7cvHmTo0ePcuLECR577DFGjBih72Lc086dO/nyyy8JDw8nOzsbPz8/nJyc6Nix\nI126dGHdunX07dsXZ2dn1qxZw6ZNm/jf//6Ht7c348ePx8zMTN9FuK+lS5eybds2YmJjlPAMAAAg\nAElEQVRi6NSpkybhmDJlCgcOHCA3N5fevXuTmprK119/zZ9//smePXvo37+/rAf+pKen8/HHH3Pq\n1CnOnDlDWVkZvr6+dO7cmU6dOpGcnExUVBTdunXD0tKS1atXs3v3bgICApgxY4ZBDKAsKSlhwYIF\nXLhwARMTE3799VeGDRuGj48P7du3x9TUlGvXrpGeno6fnx8mJibEx8cTFhbGW2+9xYABA/RdhPvK\nyMhg9uzZhIaGkpuby9atW3niiSdwdnamd+/epKSkEBMTg729PW5ubqSlpXHq1CmuXr3Km2++iY+P\nj76LcBdJkigsLGT27NmUlJTg5+fHkiVL6NChA35+fri5uWFtbU1YWBgVFRWaxhZTU1NKSkp47733\nDOIC/fbt2yxcuBAfHx98fX1ZsmQJnTt3xsfHh9atW2Nubk5iYiIREREMGDCALl260K5dO6ysrPj4\n449ln0BHR0cze/ZsfHx8MDMzY9GiRTz//PO4ubnRsmVLioqKiIiIwNLSEi8vL9zc3CgrK8PBwYHP\nP//cYBLoe9URBw8eJCsriz59+uDl5cX58+fZtWsXu3btom/fvvTv3//+XyAJOrN06VLp4sWLkiRJ\n0q5du6Tvv/9eOn36tObv+fn50vDhw6VLly5pnistLW30OO+luLhYkiRJOnLkiLR69WpJkiQpMzNT\n+vzzz6WVK1dqXldYWChNmzZNOnjwoOa5ioqKRo21ofLz86V3331XunXrliRJkvTdd99JH3zwQZXX\nLFiwQFq9erWUk5MjSdLd20ulUjVOsFrKzc2VZs6cKaWmpkpxcXHSzJkzpe3bt2u2ryRJ0i+//CJ9\n/PHHkiRJklKplAoLC6X4+HjN3+VaNrUjR45IH3zwgZSWliZ99dVX0pIlS6SoqCjN369evSqNGDFC\nys/PlyRJktLT06WTJ09KGRkZ+gq5znbs2CF99dVXkiRJ0rlz56QJEyZISUlJmr9fvnxZWrx4sbR1\n61ZJku5sq9u3b+slVm2VlJRIkiRJGRkZ0ssvv6x5/ttvv5V++eUXzfYpLS2VTp06JU2fPl2Ki4u7\n63NUKpVs99Hy8nJJkiQpIiJCmj59uub5559/XtqwYYPmcXZ2tvTzzz9Lq1ev1pyH1L+PJMmvjJmZ\nmZIkSVJZWZk0c+ZMKSEhQZIkSdq6das0fvz4Kq/duXOnNH/+fCk4OLjR42yI6OhoSZIk6datW9K4\nceM05/zVq1dL3333nabMSqVSunTpkvT6669LQUFBeotXW2lpaZIkSVJkZGSV+u7999+XvvnmG83j\n0tJSacWKFdKSJUuqnHsMibZ1RElJiXThwgUpKyurzt8hWqIb4Nq1a3z//ffk5ubi5eXFsWPHSElJ\nYfDgwbi4uJCenk5cXBzdunXDxMQEc3Nzbt26RUhICCNHjgSQTYvtlStX+Oabb7hy5Qqurq5ER0eT\nlJTEsGHDsLS0xM3Nja1btzJkyBCsra0xNTWluLiYqKgoBgwYgJGRkUH0/zpw4AD79+/H1NSUoqIi\nYmNj8fX1xc7OjsGDB7NkyRK6dOmiudVoZWXFgQMH6NGjh6YbjkKhQKlUYmRkJKvuABkZGZw4cQIn\nJyfMzc1ZvHgxkydPxs3NDZVKxfXr17GxsdGUrW3btqxatYr27dvj5eWFqakp9vb2qFQqJEmS5faM\niYlBqVRibW2Nv78/nTt3ZtCgQbRu3ZqkpCRu3rxJnz59UCgUuLi4EB4ezuHDh3n88cextramTZs2\nsu3msG3bNiIiInB3d6eoqIhr164xbNgw2rZty/Xr14mKimLQoEEAODo6kpKSQmRkJN26ddN0+ZC7\n1atXs2rVKioqKmjVqhXXrl3TzGLg6enJ4cOHadeuHe7u7hgbG2NlZUVKSormDpiaHI8/td9//539\n+/fj5OREfn4+OTk5eHh44OjoSMeOHVm4cCETJ07EyMgIS0tL8vLyiI6OplOnTtjb22NicmfmWTmV\nMT8/n4ULF+Lv709OTg4VFRXk5uZia2tLq1at6NatG3/88QcVFRV069YNAGdnZ27evImvr6+su6So\nRURE8N1337F//35iY2Np0aIFxsbGJCYm4uvrS/v27Tl48CAeHh60bt0ahUKBlZUVlpaWdOjQoU4z\nOehTeHg43333HceOHQOgsLCQwsJCHB0dcXZ2pm/fvnz77beMHj0ae3t7TW6Sl5eHn58flpaW+gy/\nzupTRxw5coTHHnsMExMTWrZsqdX0fSKJrqedO3eyfPlyHn/8cVJTU9m0aRMffvghK1euZOTIkTg7\nO3Pr1i2uXbvGwIEDMTU1RaFQMHDgQE0CLRchISEsWbKEiRMnolAoWLlyJf/+979ZvHgxw4cPx8HB\nASsrK2JiYjRdUwC6devGkCFDZJlsVafuunHu3Dm8vb1Zt24dDz/8MCdPnsTR0ZE2bdpgbGyMQqEg\nKCiI4cOHA+Dh4UGvXr00ZVZXaHIr8++//87y5cspLi5mz549uLu74+rqSlhYGP369cPd3Z2goCDs\n7e3p0KEDkiRhbW1N79697+rWoL5QkJOioiJ++uknfvvtN6Kiorh+/TqPPfYY//3vf5kwYQItWrSg\nsLCQuLg42rRpg52dHQBDhgzBzMxM1lNNpaWl8dprr1FcXExBQQHh4eGYmpoiSRJmZmZ4enri7e3N\nokWLGDNmDDY2NhgbG+Pi4sKQIUNwcHDQdxHq5JNPPqGoqIhx48Zx+fJlbt68SceOHYmKisLX1xcP\nDw9CQ0OJiIjgoYceAtDso9UXpZLb8Qd35u1+//33kSQJd3d3zp49q+kO5+rqipubG15eXoSGhpKc\nnEyfPn2AOxezffr0uWugpFzKqJ7n2cXFhddee409e/bQtm1bcnJyyMrKwtPTE1tbW1q2bMmuXbs0\ngyOtra3p16+fQSTQAIsWLWLIkCG88cYbxMbGkpaWhoeHBzdu3NB0Z0hJSeHUqVM88sgjAJibm2su\nfuQsJyeH77//nvHjx9OrVy8OHTpEz549uXz5MlZWVri6uuLo6EhOTg7R0dGabgwtW7akZ8+eBpFA\nN6SOMDU1rXcdIY+j1ICoR+mqO9Y//fTTmsGCLi4uDBgwgB9//BG4M+tGamoq8PcJUZLRjAfqWDIz\nM3Fzc2PEiBFMmjQJMzMzrK2t+cc//sHSpUspLi7GxsaG9PR0TTJpaPLz87l48SLLly/n5ZdfxsPD\ng6SkJCZMmMDevXs1Uy45Ojpq+uupt7W7u7ustltNrl+/zqxZs5g7dy4PPfQQN2/epHfv3kRFRXHt\n2jVsbGzw9PTUjJhXJ8nqPpdyL9+ZM2dITU3ljz/+4Msvv+TkyZO4uLjQsWNHfv31V+DOzDDXr1+v\n0pJnY2PD448/rs/Q7ys0NJQBAwawYMECJkyYQEFBAYMGDcLIyIirV6+Sk5ODu7s7AwYMICkpSfM+\nV1dXTUUgd6mpqeTn5zNnzhyGDBmCiYkJ7du311zA+fv7A3fOmQ4ODlVmQ1BfUMh9H7158ya5ubnM\nmjWLV199lYyMDNq1a0ePHj0IDg7WjPTv1atXlYVU1C3ucp0OraysjOPHjzNu3Di8vLzw8PAgNjaW\nF198kdTUVI4fPw7c2cbqFj65XYTfT3x8PKmpqTz11FM4OjoSHx+Po6MjAwcOxMHBgRUrVgB3foue\nPXvKfl+sLiEhgaSkJIYPH86gQYPIzs7G2tqaMWPGcPnyZc6ePQvcGaegvrgzNPqqI0QSrSV1Muzq\n6qq5tRoYGEh5eTkmJibMmDGDK1eu8NNPPzF16lQ6d+5c5TarHE4u6hNA5UTqzTffBO50UbG3t8fc\n3Jzp06djbW3NDz/8wMSJE7G1tcXBwcHgTiAADg4OPPPMM9y6dQu4Mw2RkZERQ4YMoV27dmzatIkF\nCxawatUqTWJSuSVIDtutNuo7BOrb3WfOnMHR0ZEePXrQvXt35s2bR3h4OGfOnKFLly41bj85lw8g\nMTGRUaNGAXcqBCcnJ5ycnHjllVfYtGkTkZGRXL9+HWNjY0pLSwH5dJWqjXp5Z2NjY82iBTY2Nly+\nfBkHBweGDh1KRkYGCxcuZMmSJURGRhrMbBTVeXh4MGbMGE2Zc3JyMDExoV27djzxxBMcPHiQTz/9\nlB9++EFzAVGZISRm3bt35x//+AcVFRWUlpZiZmaGQqFgzJgxODo6smbNGr788ku2bdtW48wUcml5\nLikp0Zwj1ItOLFmyBBcXF+BOItm+fXucnZ158sknSUlJ4ZVXXmHnzp307dtXn6HXWfWLsjZt2jB7\n9mzNNigvL8fHxwdXV1cmT54MwNtvv01ISAhjx46V/b5Y/Rzfs2dPFi1aBNxpULKyssLLy4uHHnqI\n/v37c/r0aaZOnUp6ejqdO3fWR8gNprc6ooH9tpuFygPmlEpllb+pVCppxowZ0rFjxzTP5efnS2fO\nnJECAgIaLca6qlyWmgYCfv/999Ivv/wiSdKdchQUFEjR0dFSSEhIo8XYUEql8q7tVFlCQoI0ZcoU\nKS8vT5KkO4NlYmJipF9++UVKTExsrDDrTT3QqPKAI/Xgl9LSUmnatGmaskmSJG3evFn68ssvpfXr\n1zduoDqgLmN6erpmm54+fVqaP3++5jVbt26V5s+fL02YMEE6d+6cXuKsq9DQ0CqDOavz9/eXZs6c\nqXl8+/ZtacuWLdKvv/4qFRQUNFqcDXG/AcYJCQnSk08+qXl869Yt6datW9L58+elsrKyBx2eTlQv\nY/VteebMGWnKlCmax9nZ2VJERITk7+8v6zKWlpZKJ06cqDL4vbKYmBhp6tSpUnFxsVRcXKwZpHX5\n8uXGDFNnCgsLJUmqei6Njo7WbLvo6GjNb2EIA5JVKtVd+2b1x3v37tUMKExJSZHS0tKk/Px86caN\nG40Wpy7pu44QfaJrUVZWRkREBK6urhgZGVFeXq7pM1tZaWkpgYGBjB8/nhUrVrBhwwYee+wx2rVr\nh5eXl56ir52RkRElJSX89ttvmJqa4u7uDtxpcTAyMuL48eOMGjWKnTt3smLFCoYPH665hWco1K1W\ncXFxhISE0KpVqypXnKGhoZq+wbNnz8bKyoq+ffvSt29f7OzsNLdV5draoI4rOjoaJycnlEolpqam\nwJ2VmFJSUhgzZgzr1q0jMTGRZ599lpEjR2qWYlepVLItm3owlZr01zK01tbWmph/+eUXnnzySVq0\naMH27duZMGECw4YNY/z48VUGn8mJuhwuLi58++23+Pj44OXldVd5jxw5wtNPP01mZiYrV66kU6dO\nDBkyhN69e8t+ykHpr9Y99bEWGRlJYWHhXf1Fw8PDMTExwdHRkVmzZqFSqejTp4/mOFWfi+RIPehW\nXcaSkhLN/LNQddlkPz8/lEol8+bNw8vLix49etC1a1eMjY3v2u76po5HqVQSGhrK2rVrqaiowNvb\nW1M2hUJBeHg4xcXFlJeXM2fOHE1/fTc3Nz2X4P7UZVRvo0uXLrFp0ybNnQ/184GBgaSlpZGWlsbv\nv/9Oly5daNu2rWwHJFemUCgwMjKiuLiYY8eO0a5dO82+qi7/yZMn8fT0JDQ0lFWrVtGrVy9atWqF\nk5OTnqOvG7nVESY6/bQmJCAggF9//ZX/+7//48SJE+zcuZNHHnkEPz8/unfvjlKpxNjYmJSUFPz9\n/YmOjmbQoEF8//33sholX32Ed2xsLIsXL8bc3JzXX39d8zoTExNKSkpYv349wcHBjBkzhl9++UWr\nUar6pN4ecOeg2rFjBytWrGDevHmaBFPtjz/+4Pr16wQGBjJs2DDNIBG4U0nKqXJTU58o1IKCgti0\naROLFi2qcoFw9uxZQkJCmDFjBg4ODkyfPl3zN3XyLNfywd+31w4fPoyvry+enp6avysUCvLy8rhx\n4wbh4eEsX76czp07U1FRUeMFrpyoYzM2NmbWrFksWrQIf3//KtsuIyODs2fPEh4ejkql0iyXbCjU\nF68xMTGsXbuWs2fP8swzz/Dqq69ibm6u2YYBAQFs376dhIQEpkyZoukWp6buryhH6mMnLi6OH3/8\nEQcHBx577DFNGdTLQu/evZuioiLatm3Liy++WGW+2cpJuBxUPneamZmRk5NDZGQkw4cPv2tbHDp0\niB07dqBSqfj6668NYr5n9TldXcby8nLNokvW1taaiwf1348cOcK5c+fo2LGjQdSB1eusnTt3smHD\nBtzc3KioqGDkyJFYWVlhbGyMJEls3rwZY2Njnn32WYMon5pc6wj5nq30oHIrw8iRIzl69KhmwZF3\n3nmHGzdusGLFCpYsWaJpFYqMjOSJJ55gxowZsqvwKp8YwsLCsLKywsbGBjc3txonSk9JSWHatGk8\n99xzVQa+yFn1E2RcXByenp4UFBRgbW2tqbwkSUKlUmFsbEzLli1xdnbmo48+0ow6Vh+AckowK8es\nUChISUnRrCClUqno3LmzplVLfYJUz8AxZcoUTf9EOZatssqVwPXr19m8eTNXrlyhdevWjBs3jmHD\nhqFQKJAkibS0NM1CI59//rnB7KdwZ9+cNWsWq1evZvPmzaxfv55JkyZRUVGBiYkJkiRx8+ZNZs6c\nyYQJE/Qdbr3Ex8czZ84cpk2bxsCBA9mxYwc3btyge/fumgrMzMyMt99+m6lTp2reJ9eLV7j7An3f\nvn1s2bKFKVOmUFJSwvLly2nRogU+Pj6oVCpMTU01sxq8/PLLms9RH4dyu9gzNjYmKSmJpUuXYmNj\nw5gxY5g9ezZXrlwhKSmJVq1aaX6Dhx9+mGHDhmmWgJazyudPtVWrVhEVFcXLL7/MwIEDmTFjBq+/\n/jqmpqaaMj7xxBO8/vrrslzoprKayidJEqGhocybN0+zP966dQtjY2NN496UKVPo37+/7MunVv24\nkVsdIbpzVKJONLKzs7GyssLb25tdu3bxwgsvMGTIENq0aUNYWBj29vaaq58OHTowduxY2UwzlZGR\nwcaNG2nVqhW2trZkZGQwZ84cDhw4wPnz5+nUqRNubm4kJSVhY2ODu7u7prW6RYsWDBkyxCCmJCot\nLa1yGzUyMpJPP/2UI0eOkJycTJcuXVCpVKSmpuLr61ul9ad3796MHj1ac+KUY8WmvnI2MjKitLQU\nlUrFoUOHOHLkCHFxcQwfPpwff/yR5557DhMTE83ru3TpwrRp0zQDl+ScnKgpFAqKi4tJSkpiypQp\nvPTSS3z++efExsaSlZWFh4cHdnZ2mm3Uv39/pk6dKtv9ND4+nh9++IE+ffpgYWFBTEwMZmZmuLq6\ncunSJRITE5k8eTILFizg2WefxdzcnIqKCuzs7Jg0aRK9evXSdxHuq3qXoJCQEOLi4rCxseHEiRN8\n+OGHdOrUiUuXLnHt2jV69eqFhYUFAIMGDdLMyiGnuZBrIlWaLz05ORkbGxsCAwO5ePEis2bNwtvb\nm6CgIHJzc+nXrx9wZ38ePXq0ZjvKqYxKpZItW7aQm5tLXl4ebm5u5OTk8P7772umX+3YsSNWVlYk\nJiYSHR2Nra0tzs7OKBQK2rdvT8eOHfVdjHsqKirSnDvVy48vX76c+Ph4BgwYgLOzMytWrMDNzQ1z\nc3Patm2Lra2tph5QD5qUO3W+kpCQwObNmykqKsLd3Z0ffviB8ePHY29vT3JyMhs3bqR3796a+rJH\njx4GUT64u+tGeHg4b7zxBhMnTpRNHdGsk2iVSoW/vz9GRka4uLigUqn46aef+PXXXwkODsbHx4ey\nsjJSU1MZNGgQ5eXlHD58mGeeeUbTgimHE2Nl69atY8mSJXh6etKjRw/8/f3p1KkTs2bN4vTp06Sm\npjJw4EByc3MJDQ1l0KBBsr59Wl1FRQU//fQTa9eupXv37prph3bv3s0///lPpkyZQnR0NOfPn+fR\nRx9l79699O3bFxsbG80VrXrKrMqtvHIRHByMi4uLpgvKhg0bmDdvHmFhYTzxxBOMHj2aJUuWYGVl\nRWFhIV27dsXBwUFzolGfNNT9SuVUttrEx8fz3nvvMXnyZC5evIiFhQV9+/bFysqKkJAQysrK6Ny5\ns2ZxA7n2e1ZzcHBg06ZNmJmZUVxczObNmzEzM6Ndu3a0bduW3377jWeeeYaEhASOHTvGmDFjNNuv\netcjual+8Qp3xo8cPny4ykIxt2/fplOnTqSmpnL06FF8fX2rzEihvjUrxws8dRnhzvn93LlzzJ8/\nn0uXLpGUlETnzp0xMTEhPT0dHx8f0tLSgDsX55XnkVePrZBLGffv38+3334L3Kn7li1bRqtWrSgr\nKyM3N5d3330XNzc3ioqKOHXqFJ06dWLbtm2YmZnRvXt32ZTjXsLDw9m0aRO2tra4u7tz/vx55syZ\nw8CBA4mNjSU6OpqBAwfSo0cPNm7cyMGDB5k2bRqWlpayP1cqlUouXryIQqHA1tYWuNOlYfHixTz0\n0EOsWbMGc3NzbG1t2bFjB6NHj2bz5s3ExMTw6KOPGlQ9r2ZkZERFRQWrVq0iNzeXQYMGERQUhLm5\nOf369ZNFHdFsk+iDBw8yb948zMzMeOSRRzA1NWXXrl2kpqby888/c/bsWU6cOMFLL73EH3/8QVhY\nGHv37sXDw4Phw4fLKkFRD3oEsLOzIykpiczMTDp06ICdnR0JCQmaZPrIkSN4eHjg5OREy5Ytqww8\nMAQqlYotW7bg4OBAREQERUVFuLq6cuHCBf75z3/i4uKCtbU10dHR9OnTh6ysLJycnPDw8KiyveTY\nvWH58uV89dVXtGnTBm9vbzZu3EhsbCwLFy7k2LFjpKen8/DDD9OnTx+uX7/O1q1beemll7Czs7ur\nz7Tcygb3b6FNSkpi0qRJLFq0iOeee46WLVsSGxuLo6Mj7du3l2WZqlO3nLi4uODv78+YMWPIysoi\nOzubNm3a4OnpSUBAAEFBQXzxxReYm5sbxLR1NV28Llu2jIyMDLp06YKVlRWpqank5ubSpUsX1q1b\nx8mTJ0lPT8fa2pqEhARGjhxZ5dasXM6fasnJySxYsICjR4/y559/MmbMGMrKyli2bBnvvPMOPj4+\nbNu2DRMTE/z8/Pi///s/wsPDuXDhApMnT76rdU9OZczLy2PNmjW89dZbPP/88/Ts2RNHR0dOnDiB\np6cnGzZsYPDgwbRo0YI9e/Zw69Ytxo0bx+jRoxk4cKBBHHtqFy9eRKlU4uPjw/Hjx3F3d+fVV1+l\na9euhIaGolAoGDlyJH369MHa2ppevXppFkOTq4MHDzJ79mwyMjJYv349pqamtG/fngsXLtC9e3e6\nd+/O3r17KSws5MMPPyQlJYU//vgDpVLJ559/bhCDIuHvOqJXr15YWlpy8uRJ5s+fj7GxMTdv3iQ2\nNpZJkyZp7sLKoY5odkl0Xl4ekyZNIjU1lY8++oinnnpK0/pz/fp1wsPDOXnypKbvbM+ePbG3tych\nIYEZM2bw5JNPyqb1MiMjgylTpnD79m06duyoSUwyMzMZMGAAJ0+e5MUXXyQoKIihQ4fyj3/8g127\ndtGqVSseffRRunXrZlAJtFKpxMTEhKSkJMrLy3nttdf44YcfaNeuHdeuXcPJyYmOHTuyZ88ecnNz\nef755+nXr5+m643cGRkZceHCBfLz8+nXrx85OTm0bNmSsLAwUlNTCQ4OxtPTk27dutG/f38SExMp\nKSnBz89PFvvj/WjTQnv48GEeeeQRfH198fb2NphKXB2nl5cXQUFB5OXl0a9fP0JCQsjKyiIsLAxJ\nkujSpQs9e/Y0iAQa7r54LSkpwd7enkOHDjFgwAC8vLy4evUqN2/eZMSIEYwePRqlUsmHH35IcnIy\n1tbWmoU45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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1039,7 +1142,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 18, "metadata": { "collapsed": true }, @@ -1051,7 +1154,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 19, "metadata": { "collapsed": false }, @@ -1068,7 +1171,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 20, "metadata": { "collapsed": false }, @@ -1080,7 +1183,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 21, "metadata": { "collapsed": false }, @@ -1088,18 +1191,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 38, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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oMXWrtbMfebkB9IdjmT+qNcRMLdo1ojFqbwQ/SIkmCA5oDVaOjhUORabmTktv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\nf/489fX1FBUV4ePjA/x28URyc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vtXT0IS83gL5wLPNHtYGYqUW7RjRG443gBynRBMEBrcXK0bXCoczUwmnpPRgZ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\nQt+tWbOG/Px82traKCsrw93dH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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1127,7 +1230,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 23, "metadata": { "collapsed": false }, @@ -1145,7 +1248,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 24, "metadata": { "collapsed": false }, @@ -1170,7 +1273,7 @@ "Name: ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_, dtype: float64" ] }, - "execution_count": 40, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1182,7 +1285,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 25, "metadata": { "collapsed": false }, @@ -1190,18 +1293,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 41, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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TDpCvaoO6BqSuQ/PV9YtDS1TyceegzR+zQNFOJUIURBT8s4PxEPfOfABHXU4y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8UCrVYrtWhBJTc3F3q9HqtWrUJ9fT2+/fZbzJw5E4mJiVKLFhQEQcC6desgCALee+89lJeXo6Ki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\ntZra2lrc3NwoKChAr9czZswYo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9XHbboopwDlKiCQfIVbVBXQNS16H56vrVoSUq+bhz0OaPWaBopxIhCsIK/tnB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\nQRAEQRAEQWgjEUQLgiAIgiAIQhv9DwAkmPZ3w+/hAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1219,7 +1322,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 26, "metadata": { "collapsed": false }, @@ -1227,18 +1330,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 42, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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XkJDPsfDyP3bq4s99oFKQ7QIATvRFAFg0YygWTCsNf66vK8TD107A3YvHYuk5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\n", 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r6egzJORzLLz0j526+HMfrBRkuwCAE30RABbPHIaF08vCnxvqC/Hg1RNx55Jx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oQJEyYIxcXFQnFxsXrw1oULF7QZZr0oLCwUBKHqsTQxMVH92SUmJqrfh8YwSFmpVD7y3Xz49p9/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\ntBBCCCGEEJ0ggbQQQgghhBCd8B+CLCEn8QA4lAAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1260,7 +1363,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 27, "metadata": { "collapsed": false }, @@ -1268,18 +1371,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 43, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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9vodydq8oA2ysLyQ1VUQoEV6RMd9CiOx3fthIdu7JuJg1nyibTQZqfVKnLIS4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\n68kZE0G5pqYGh8OBxWLh9ddfJy8vj/nz55OSkoLT6WT79u0sXbpUg+c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IiIiI+KCgLCIi\nIiLig4KyiIiIiIgPCsoiIiIiIj4oKIuIiIiI+KCgLCIiIiLiw/8H68JSOz4/7fQAAAAASUVORK5C\nYII=\n", 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8qhInajhzo6zP9VDO7hVlgPaGIlLTxQQToRUZ8y2EyH7nho1k556MC1nzibLZ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\nuv4DQ309OeMiKFdXVxMWFobFYuG1114jNzeXhQsXkpycTFdXFzt27OD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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1299,7 +1402,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 28, "metadata": { "collapsed": false }, @@ -1373,7 +1476,7 @@ "max 211.292680 213.052674" ] }, - "execution_count": 44, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -1384,7 +1487,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 29, "metadata": { "collapsed": false }, @@ -1397,7 +1500,7 @@ "dtype: float64" ] }, - "execution_count": 45, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -1408,7 +1511,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 30, "metadata": { "collapsed": false }, @@ -1416,26 +1519,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 46, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jtheurer/anaconda/lib/python2.7/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", - " if self._edgecolors == str('face'):\n" - ] - }, { "data": { - "image/png": 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mrdhsthDvROTLUaU2eHpQTEREwsrx40eoay6hvr6ZlUt30FJaS9aOEiwdgdZt\nhiP5SaSOG0ifnvG0NTqIibAwd954TpZW06NHD/r1669AK3KNUaVWRETCyt4jHzHn0WkAuMvrOf/z\nFVhdPqB9sELgzqE0VdVzZk859827nl69EwCorW2isbmFi40X6JGYFLL1i0hoKNSKiEhYiYpt/19P\nRQMXfvPhJYE29anpRGelUPbudnr1iWfvzlKSUuIA2LPnFN/68a3sXbODSRNmhmr5Il+JT+0HQVOo\nFRGRkAoEAmzetgqX/yJel4na6ibcp+u58OsPCXQc2+W3mUnvCLQejxeL1crFRgf33Xc9ra0uKivO\nk5OfSVuLC7s9KsQ7EpFQUKgVEZGQ2rhlBenD/SQm98bn8/P6Mxs490wpdm97ycpjMbEjI4oDW4tJ\nPtGN4uLTRMVFU1PdwO9eXE1MVCxxiVYGDkll26qz3D7zkRDvSERCQaFWRESuOL/fj9nc/qzyhZZK\nRiZnt3/+7EUmV3mwdARan81My+2DGZQUg9flx+f3ExcfxX3fnIrX4+PNP2zhgXuf5HRFOfgCzL4l\nHZPJFKptiXxl/oD+/xsshVoREblinE4n7615HVu8H58zQHd7Xy40nSMQGIy38gL1v1yNpaOH1hRl\no+3ufKL6x1K8+QgRdjt33TeRxostAFhtFjIG9SIQCJCWmh7KbYlIGFCoFRGRK+ajLcsYNSMTi9UC\nwKpFG5lycwHr/7yRQVvOYHF6gfYKbfK/TOXwsTKmZ2cT3y0aT6uXLRuLiYqO6LyeyxnorPiKXA10\nTm3wFGpFROTKsfo6Ay1Ar/5JmKsdDNleTaAj0HosJvYN7Ub3k6cpKMjAZrNgt9twNrmJjLRz+GA1\nh/adpr6mjbReo0K1ExEJMwq1IiLS5WpqqtlRvIaz1ZX0Ph9NYkp3AoEA7tJztL2+C5vbD7SfctD3\nnydzpuIsJouJPv0Scbs87NhylDvuvJ5N607wyLyFOBzNFAyM14AFEemkUCsiIl3K7/ezec97TJg1\nhEBgAOtW7KbqTD2ZcTGM2F0NHYHWZzNTfVM6WHyk9EzgwP5T/M/vVnKh3kHR6MEse387OYNvwG63\nk5jYI8S7EukavlAvwMDUiCQiIl3q4sWLJPePBsBkMjF5ZiFJrWYGbyqHlvbRtz6bmb5Pz+C6B27g\nwMHTVJ1vov/AfqT2T+WpZ+9n8rQC/J44CkfdEMKdiEg4U6gVEZEuEwgEOF1xiqrT9Z2fc546T8HB\nKsxt7T0tL1FnAAAgAElEQVS0bjP0XjCdiIHJACT06Mb1U0fidFjJzpzJmmV1rF1+gckT5hEREfF3\n/xyRq4U/EB4fRqT2AxER6RKBQIB3lv+JgUWJ2BqtvP3HtaRGxpD60THsHbNATdE2Dg9JwN3WwlDA\n6XRz8vhZqqobKcq5jdTUdFJ1XJeIXAaFWhER+dpt37WB8nOH8VocVJY5sVjMzJiQj+vfVmH2tvfQ\nmqJtJP3LVLqdrmLDmn001jfR1NhK7/4peFpiGJKTH+JdiIiRKNSKiMjXxul08vqS32OJc9KjRzRj\nx49m9XsfU5STjuffP8Tc5gHaBysk/ctUbBlJOA6eZFThICbf1B5iV6/cS3bOraHchkjIaKJY8BRq\nRUTka/PO6jcYNTsXi9VCY30j2zYeYmRaH3y/XYulI9D6bGZ2ZkYRf/gULbuOUFVxnrt+elfnNWJj\nIzhydC99evcN1TZExID0oJiIiHwtAoEA5lh/53CFbj26QY2DwH9t6gy0gUgbx67rj31gL9IH9+X0\nyWp8Hhs7dxwHoKG+iXO1zZgs/pDtQ0SMSZVaERH5WphMJvzuzzw2XVlP5ofHsXb00HosJmpnZnPd\nrSNZu3QblWU1uNw+hg8dxfETVVxo3ktkdATx3ZLI7JUXol2IhJZRTx4IBwq1IiLytUntlsXW93eQ\nbIbBa45g7wi0RNmpnJTOqNtGcab8HKlpvcgryKCt1Ulrcx1TJj7A/sObcHsgvV8+/fvpxAMR+XIU\nakVEJChut5t31ywiEOHF54KhA/KpbDzI1NEZeJ5fhcnzaaANfG8CO1dspWbxRlLTUigcmw1A94RY\nGpxuevbszbSe94ZwNyLhwadKbdAUakVEJCgfrH+PjEn9sFrbv5Ws/PMS7psxCs//XYmptX1SmNsM\nlRNTcVSeJW94OuerG0jN6AlAc1MLXreHpB69Q7YHEbl6KNSKiMiXVn66lHONlaRZPw2k/SIj8Dy/\nElpcAAQirThm5XCi/CyDkvpQWVGLPTKCt/7nQ7IG9yOxRyyxUd3om1QYqm2IyFVEoVZERL6UE6Ul\nnGjYSXS8CY/bg81uw3SmgeFby6Cjh9YfYWVTWjTpcVYefnQycfHRAKxesY8R44dTtc+M1RNNTnY+\nyUk9Q7kdkbCiB8WCp1ArIiJfyvGKgwydlIbH04/Na/Zib2hj+NbyzofC/HYLO4ckUtXUhutQBVYg\noUcswwsySE1N4sSpc+TmTCctNSOk+xCRq4tCrYiIfCmBjlKSzWZlYu5AnL9ZjtXjA9oDbeVNA7Fa\nfaTUW+ndvwcF4/M4X93A6pX7aHE4sZkySRurQCvy96hSGzwNXxARkcvW1NTImTOnWfHWBlpKqnD/\n2wdYnV6g/Rxa83evpz4KBuf0IzYugskzR2IymejZpwdOb4CzNU6mTZod4l2IyNVIlVoREflCBw7t\npbr2DIdK9nDHd2/EefIc/HYNZld7oPXazOwfnszp9XuZPHUE1VX1tLV6L7mGzW4jqUcKNpstFFsQ\nkaucQq2IiPxdgUCAlRuWU153CneghTGTRjA0ZTDHVu4l88MS6Ai0/ggL5TcOJColjhy/F5/FSvG+\nMuJik9m5rYSicdnUnW/k4N4yZk19BJPJFOKdiYQvf0B/P4KlUCsiIn/X4mV/oUdhDwq6jyQQCLBt\n2Samjx5GYPkhcLf30HqsZkqK+kBSDA01F+g3IImBQ1I5uKeUXr37kdCnGx+tOUBMbDRDcvPJHpQb\n4l2JyNVKPbUiIvK/LH7/VY7VHCW2eywAJpOJ5IAFywsrsHUGWhMl1/WnpKkJk9mMx+XG1dY+dCEq\nIh6zK4aY2BiKJg6nX3of7L5uIduPiFz9VKkVEZFL7Nm/g7Ous3TvlYTf58dsMWM5W8+Ijcc7R9/6\nI6y4HxxN9fEKBo8YzIBB/cDnxWSGvduOkZ81ntyhI9mwdRVu33mi7d2ZOunmEO9MJPz5Qr0AA1Oo\nFRGRTn6/n8NHDxCdkkB6bhbbV+8g2Rdg+LqSznNoibJxcFRvdq38mOn3Tqb3gBR2b9hH93g75aXn\naGs0M/3xbwNw4w0KsiJyZSjUiogIAK2tLby+4nUi0mNpPV9H+ZEyRucOJvHFD7B0BFq3GcrGDSAm\nLZGpw/pQcfQUB7YcwB5pwW7rwR0PT+fInlPU1dWSlJQc4h2JGI/OqQ2eQq2IiACwYvNK0icPwWwx\n029IGqfe30T8om1YPJ9UaO3sz0ui2eyjV5uLgN+O0+2j/+BUGhsauX5aIQA2uxWfzx/CnYjItUgP\niomISDtzALOl/duCraqecTtOEdERaL02C4fGDaDPDUNJSe3NiZPnSBsxmKn33EhGzgAa61sAaGlq\no/aUl5SUlJBtQ0SuTarUiogIAGkpaRwvLadfVATJv/sAi9MDQCDSxpasboyeMYLtH+3jxOFy7npg\nIoe3H8JssWC3WejbI50j65qItEdz58wHdRatSJDUfhA8hVoREQFgVH4h5rV1RP51CRZ3e6D12iys\n7ROBOSWaDUs/ZtItY7BYLRzYUcrtD0wE2quzp/cEmHTDjBCuXkSudQq1IiLXKL/fj9n8aRdaU+lJ\n4pd9gL8j0HqsZjyPT6dl/XbuvHUMdruV9at24/H6cba4Wfb6x/Tqm4S/JZpbpt4Xqm2IiAAKtSIi\n15y9h/awu2wv2E3Q6CchKpZzR/czqaweu+fTSWHlM4aw88Nt3DV3PPHdYwCYetsY/vAfS3nguzez\nb/Npbrnh0VBuReSqozG5wVOoFRG5hng8brYc38bQmwoA8Hq8nP9wG1PPNmL6TKC1/fPNDM5IYaDX\nx551u5k8swgAs8VMWmZPIqMjsNpCtg0Rkf9FoVZE5Brh8bjZv38f0T3jOj8XVdvIiM0nMXWMvvXa\nLJRMzGJQz3iiAIvVQkV5HV6PD4vVzJr3tzNmYj4upxuvQ6lW5Oumw/CCp1ArInINOHaihEUfvU58\ncix1DS2kDRuIvbqBpJeWY+0ItIFIG0fHZ3KssZGh9vZvD2dOVeFq9LFz+TliYmNJisjm1B4HJp+N\nW6feH8otiYhcQqFWROQq5vP5WLHhA3Ye3U7GkH6MuG4YjfXN7HxlCTeXN3YGWn+kjXXp8fjw0trc\nwvLXP6JvWk/OVZxn0Mj++K1tZGeMY0D/tNBuSETkcyjUiohcxd764E16jOnDjUUzab7QyO6NByga\nOIAZ5Y3YPgm0disre1qp87twFJ/kiZ8/0vn+fR8fxmyzkVOQxcENexRqRbqYzqkNniaKiYhcxZwR\nbiKiIgCIS+hGREMbEf+xAntnD62Z3SNSGHHfeL71z/eQMbg/56vqgPYjvypKq8kpGEQgECAQ0Hdb\nEQlfqtSKiFzN3J8+dmKtqmf4hhJM3k9H33qfmIn57BnSsvq2v8Zm4UzZOTav3IPZZydv0hA8bg8H\n1p9gWtFdIdmCyLUkoCO9gqZQKyJyFSsaWMjHm3aSYPKSvWw3ER2B1h9h5dSMXBy1dcREt1dyj+47\nyenSKpob2xjUeySzb72bA8V7qNt9kVuvv5+4uLh/9EeJiISUQq2IyFUsNyef9Ig4Tj//K2yfnENr\nM7MxsxvOpotcPH6SPqk9OXGoHKfTxcy7xzMwuz/vvroJk8nE8PxRId6BiMjlUagVEblKBAIBduzZ\nTpuzjTEjxxAVFU1L2SmqXngem6d99G0gyo7vh9O5Li2ZD99cg8Vm40J9Ew3nL3L7nImdbQjdEqNC\nuRWRa5YeFAueQq2IyFUgEAjwP0v+RPSI3vh8fn75+1+SH9eL7J37OkffuszQcG8R3VKTOLT9MCn9\nU6gu8zAgoze5hTk0XWzpvJarUX19ImIsCrUiIleBI8cOYx2cgMVqoWr/YW6dUUj8iyswdwTaQJSd\n3Xk9qS4ppY/LSVy3GBwXXdz+0Ay8Hi9bVmyn7aKb85UOLL4I7p75zRDvSETky1GoFRG5Cni9Xiw2\nGyWb9jA4LpK4//wAc6u7/Ws2C54fTsd2robadbuJ6x5HTXk1sx6aBoDVZiVv3DAOrDzJg7c/Ecpt\niFzzNCY3eDqnVkTEwNraWnljxRL2VJxg35INZMVHk7f2KJaOQOuPtHH0pmxcfbrjaGjkwcfvILln\ndy7UXcTv//TbZ5ujjVG514VqGyIiX5lCrYiIQfn9fl5893Vqc3rjGDaAjJ7dGLH2MJZWFwAeq5kl\n3c2caGpk4zvruHFmESYT1JytY+DIIaxbtp2W5lZqKs9Td8TJqJFFId6RiPgD4fFhRGo/EBExqPr6\nOlp7diPBYia2pp7CXWWdPbT+SDubc/vgizQzYuIIfD4vxTuPc3J/Jek3DKP/wP54XB4OHS7FWerk\n2w98H5NJD4eJiHGpUisiYjBtba0cOnwYr9dLwNFKbE09Ra8uJeIzgfbYrSPxZw8AIDI6gqTeyRzc\nd4Z5s7+Ht7n9eC9bhI0evVIYkTtKgVZEDE+VWhERAzlVfor3D6wjKj0FZ/UF4o+eZNTKLdi9nxzb\nZWLX6AwCifGYXB6sVjNRsdF43B4iLJH06dOXweezObLxMGaLiSR7MkUTx4R4VyLyCb/G5AZNoVZE\nxEDWHdpG8qhBFC9bSy8/3FRWTaSv/YEvt8VM1YOTaKy/gLuiiobScuJ6dGPv2p2UHy3n5rGzARg1\nvIhRw9U/KyJXly5vPzhw4AAPPPAAAEeOHGH8+PE88MADPPDAA6xcuRKAxYsXc+edd3LvvfeyYcOG\nrl6SiIhxWczse/dDbhw3ghkl5zoDrT/STuk941i9eQcXq87TfL6BwQWDGDO1EJejjYJp19Hsagrx\n4kXki/jD5OOLvPLKK9x3333ceeedvPvuu5w+fZo5c+Zw//3388wzzxAItD9tdiUzXpdWan//+9+z\ndOlSYmJiADh8+DAPP/wwDz/8cOdramtree2111iyZAkul4s5c+Ywbtw47HZ7Vy5NRMQQnE4nL7/9\nB5wWH1EBGwOS+tLPYiH1Dys7TzlwW81c+M4MSk+dpn96XxITorhwsY0R44cDMPGO8WxesZNhPfJC\nuRURuUrs2LGDffv28dZbb9Ha2sof/vAHPvzwQ+bPn09hYSELFy5k7dq15OfnX9GM16WV2tTUVF58\n8cXOtH7o0CE2bNjAN77xDRYsWEBLSwvFxcUUFBRgs9mIjY0lNTWVY8eOdeWyREQMIRAI8NP/t5Cm\nOBO+WDt9bsrj8J6tTN5f2RlofZF2VmYmsbvsNOXFx/F4vMTExWC1X1qzCLR6mXT9TaHYhohcZbZu\n3crgwYP53ve+x3e/+11uvPFGDh8+TGFhIQDjx49n27ZtHDx48IpmvC6t1E6dOpUzZ850/j4/P597\n772XIUOG8PLLL/Piiy+Sk5NDXFxc52tiYmJwOBxduSwREUN476NlZN8+kdgeCbjb2jizbDO3VdR3\nthx4rBZWZyTiTYkl0Oak3+A0zhw5QUyUjbpTjbRc30JMXAznT59nRHqhTjgQMQAjnBHb0NBAdXU1\nr7zyCpWVlXz3u9/tLGBCe5Zrbm7G4XBc0Yx3RR8UmzJlSufmpkyZws9+9jMKCwtpaWnpfE1LSwvx\n8fFfeK3k5LgvfI2EB90r49C9Ch9er5fic6fIzGs/maBbYyuFe0qJ6DjlwG01s7x/HBkzx2C1WYlL\n7MaGN1aQNqg/Dhf88slfsGnHJhpcTWT0zGLcbZoWFkr6uyVXk4SEBDIzM7FaraSnpxMREcH58+c7\nv+5wOIiPjyc2NjaojBesKxpqH330URYsWEBeXh7btm1j2LBh5OXl8cILL+B2u3G5XJSWlpKVlfWF\n16qtbb4CK5avKjk5TvfKIHSvwstbK5fg7PgvdNS5erL/exk2jxdobzn4a4IVd8/u7Fu3m/juMTib\nWoiONFPf0MatY6fgdpsZM2Ji5/V0b0NHf7eMQz98XJ6RI0fy6quv8vDDD1NTU4PT6WTMmDHs3LmT\noqIiNm3axNixY4POeMG6IqH2k3/yevbZZ3n22WexWq2kpKTw3HPPERMTw7x585g7dy5+v5/58+fr\nITERueZd8LaRlJVO9fINzNhbis3VPjDBF2lnz035+M6UMXpUOhGRdjYs28kP7/8xcXFxxMV1XRVE\nRLqeEdoPJk6cyK5du7jrrrvw+/0sXLiQvn378vTTT+PxeMjMzGT69OmYTKbLznhut5vly5ezbt06\nTp8+jclkIjU1lcmTJzNz5kxsNtsXrssU+GwThIHop15jUIXCOHSvQs/lcvHayndosnipOH6SwvGj\nGP7qCmxt7Q+FuSxmVmUlU+1tZcZdN9A3rTcAbpeH87vamDpxZiiXL59Df7eMIxwqtd/duj7USwDg\n5esmXbE/a8OGDfzXf/0XBQUFFBYW0qdPH6xWK2fOnGHHjh3s3LmT733ve0yePPkfXkfDF0REwsTb\na5biL0ilm9XKEBsM/f172DrKNm6bhd03jcBk9TEqtRdb1h1gUM4FRowdgj3Chi+g0CRyNbgWJ4qV\nl5fz+uuv/69q7MCBA5k4cSJut5s33njjC6+jUCsiEiZazF6sViumY2WMfX8zER2B1mUxs3FUJg2u\nVkaNKyAqNor66jrMcfFUnDyLo66VooE3hnj1IiLBeeihh/7h1+12+yUzDj5Pl08UExGRf6yx8SIv\n/PG/OHmiFMfm3YxavJaIzzwUdviu8ZxsvEjf1J5ExUYB4Pf56JXRj4PrTjKy3wQG9E8L4Q5ERIJX\nUlLCrFmzKCoq4sknn7zk2K/Zs2df9nUUakVEQuj9NSv50e9+jemGYQy9roAbNx0g8jOBtvSRmbT0\nTSKjMJfKU2dxtrRRsuMQSX1TOFN8mrm3P0R6WmaIdyEiX5dQj8e93DG5X6dnnnmGf/3Xf2XVqlXY\n7XbmzZvXGWy/zKNfCrUiIiFy/NRJlh3bR3J2Bt0vNjPqz0uJ6DjlwGUxU3zHDZw1+ak4UEK/nAxs\nNisf/nkZ1SWV2C9Cbvch9O3TL8S7EBH5aj45EiwxMZFnnnmG0aNH89hjj+F2u7/UdRRqRURCZMPO\nrURafMRV1TDqz0uxtzkBcJpNlH/rFvaUllN97BSZI4dw6KNtJPdOxGyx0iejNwWZeQwfVhDiHYiI\nfHXR0dFs3LgRv7+9RvyTn/yElJQUHn/8cdra2i77Ogq1IiJXWM35c/xu8R85Wn+anOQEZh8+fUmg\n/WvPaM5HR1J4+030G5bF/tVbwevmdEk5o6cVMWxCPvtPHQzxLkSkK/gD4fFxJf3sZz/jlVdeYenS\npUD7fIPf/OY39O/fnzNnzlz2dXT6gYjIFeRwNPPLv7zE0Fk3MeZiCkP+8B4R7vYeWqfZxOZhvZj+\n6M3s2rCfsl3NtLW6sJtMmE0mModm0Cejb4h3ICLy9crMzORPf/rTJYMZrFYrCxYs4LHHHrvs6yjU\niohcIT6fj6d+929E5aTTsHEPY3Yc6TzlwBthY2NBJq29EzlbVk3RpBHUV9ezdvU+IuwxdHNFkZDY\nnUAgwJlDlYzJHBHi3YhIV7gWz6l1u918//vf56677iI9PZ1BgwZ1fi0xMfGyr6P2AxGRK2Tlpo/o\nP+smBvXqxS17jneecuA0wdoRGaTMvJ6MwlwqTlYBcLH2AkOuH0HeHROxDeqFucJMy84mxvUdR1FB\nUSi3IiLytXn88cc5ffo0y5cvJy0tLejrKNSKiHQhh8PB/kMHqKurxeF2ktDUQtGrn3kozARLM1Po\nNWsiZosFv89P84UmSg+eZNf6vST0TgEgOTsVtznA9BtnkqozaUXkKvLiiy/Sv39/kpOTOX78eNDX\nUfuBiEgXOX7qBG/t34I5rQ9Nm3ZjO3yMe6sbsHf00LosZpakp1BrCxBz5CTR3eI4tPZjCscN5sTB\nMizRn86h93m82LCEaisicoVc6Ye0wkEgEOBHP/oReXl5X+k6CrUiIl3kw+JdxI4cCkBPr4+iNR9/\n2nJgNrFi6AAazH7GTBnN8V0HuXjWTEr/FLYu2851heOJ7RfLmX3HscVG4K9o4luzHwrhbkREukYg\nEGDp0qV0796duLg4EhISgrqOQq2ISBfxdjzvEVdTx9jXlmLvCLRum5WDd02i37BMqhYto66iilEz\nbqCp9gLlxSUMTB/EvNnfAKCpqYm2tjZSxqRgMl17D5CIXGuu9DSvcPDqq6+yd+9ezp49y4IFCxRq\nRUTCTcu5GmKKvYz9cFtnD63bbuO9tJ601dbiW3OOqJhImusucmzbfqLio2k618BDs7/TeY34+Hji\n4+NDtQURkS6Xl5fH2rVr8Xq9neNxg6FQKyLyNTl28jjlZ88wclgeST2SsDRd5MYDR7C720ffuu02\n3ugeQfWFWvokReFqacUSG4s9KhJnaxs1JRV8d/Yj9O+fGuKdiIhcOcOHD2f27NnMmjULqzX4aKpQ\nKyLyNXh//Wp200pEn56sXP02WfUtzDhZSaSv/R8TPRF2lg/pT86sCQx0Oqk7fopRRRPZ+voH3DRi\nChE2O4NuH0xERESIdyIioXQtPihmt9u55557ADh27BhNTU2XfL2wsPCyrvO5ofaBBx743DeZTCZe\nffXVy/oDRESudoFAgJ21Z4gd1f7kblZGGtdv/itRHYHWaTaxYlBvkqaOwWq3YbXbqDtzHp9nPz4C\nZKZmkJBw+QeMi4hcjZ544gmOHDlCSkrKJZ9/7bXXLuv9nxtqf/CDH1zye5PJRCAQ6Py1iIi0a25u\noqG5iVgg/nwd4994v3NSmNNsYsWQfjTERzKgWywAjoaLxKckkjWugIzCPP66fhmP3vFgCHcgIhJ6\nJSUlrFixAosluOMLPzfUjh49uvPXu3fv5sSJE9xxxx0UFxdfdhlYRORqV1Z5mt+ufg+X30fEiTLG\nL19HRMdDYS6blR23XE+P4dnUrl7P0XUf01x/EWdTMzd+824ALDYrrXZfKLcgImHkWhyT+4n8/HzK\ny8vJzMwM6v1f2FP7pz/9ibVr13L+/HmmTZvG008/zV133cWjjz4a1B8oInI12H1oPx8W7+VI2QkS\n83PJS0hg0utLiPC0PxTmNJt5LSGKQcOzAYju3o1h4/LZv2oTiT2TLvkXL6vv2v0mJiLyiTFjxnDr\nrbeSnJzcWa01mUysXbv2st7/haH23Xff5e233+aee+4hMTGRd955h7vvvluhVkSuWaXlp3jzRDHd\ni/IYXJSHZ8MWJq1YT1RnoDXx1/SeePokAe09t16nk0Prt9PW5CBrdD4HP9pGdLc4Ip0wLW98KLcj\nImHkWjyn9hO//e1v+fOf/0zv3r2Dev8XhlqLxYLdbu/8fWRk5Fc6bkFExOh2HjpA99whAHQ7X8ek\nAyVEdBzb1WYy8Zfu0TR2j6W17DSntthwnK8jvkc8PQelY4+MIC4pgdybxlG17gCP3/MdPacgIgIk\nJiYycuRIzGZzUO//wnRaWFjIr3/9a1pbW/noo49YtGjRJf22IiLXEr/fz8adH9M9MYI+mJn05nud\nPbROs4m3e8Th6ZVMlMlMZLdEao8cZ9wDt+F1e9j19iqy0wZRs/MYVg/cNf4WBVoRkQ6DBw/m3nvv\nZdy4cdhsts7P/+3hBZ/nC0PtT37yExYvXkx2djbvvfceEyZM4L777gt+xSIiBrZo5VJaU/tjX7WO\nCbUXO085cFkt/CUlDvIGYSdA5tiRBAIBypZtpPvRZlqcbfz2x78i5v9n777D2yrPPo5/zzmSLO8R\n75k97OwJWYSEEQiFEFYYAQp9oSWMljIaOoEsCJRZoC3QwQqjIQ2UnRCyIHvHTrwt2/GIt7Wlc94/\nnNikFOxM2fH9uS5d2LLOo+dGl5SfHz8jNCzAFQghOrPuuE/tEcnJySQnJx/3L/vfG2rLy8tbv548\neTKTJ7fN+aqqqiI5Ofm4nlAIIbqqV1e8x+bGQyS7ncyuqifY1xJonYrCp2MG0evCSQCU7tiDq8mO\nNTwUU0oMh1xN3HbVzQHsuRBCdF733HMP55xzDtdcc8139qg9Ft8bam+77TYURcFut1NRUUG/fv3Q\nNI0DBw7Qu3dvVqxYcdxPKoQQXYXP56OysoJ9eQfITYqif48wpi1djtXXNkL7TlIUaRdMbL3GGhGO\nx+HAGh6Ku9lBQ5iGYRgy1UAI0S6jG27pNW/ePNasWcP8+fOpra1l1KhRTJo0iZEjRx7T/NrvDbUf\nfvghAHfddRdPP/00Q4e2nJSzf/9+nn766RPsvhBCdH6V1VU888kH1MXG4CwvJ7rqINPKqrG63EBL\noN1982XEWM1kf7qazOnnYug6hRu306NnKkWbd5ExpD9UNkigFUKI75GYmMjVV1/N1VdfjdfrZdu2\nbaxevZqnnnqKuLi4DufOdufUFhUVtQZaaJnEW1JScvw9F0KILmLp2tW4Rg4nRFFIDQllxubtR43Q\nbrz8XPypCYQaBrrPy67lHxOT2IOYlAQi0tOoKbShNDkZm5YV4EqEEKLzeu6555g4cSLDhg3DbDYz\nbty41k0JKioqOtxOu6E2OTmZp556ihkzZqDrOu+///5xn/QghBBdiVdVUBSFmOpDXPLusm/NoYUP\nBqYTl9UPgPz1m8kYnknjwUoGjR/G+pf/TZo3hF9eeiNJiUlERUUHsgwhRBfSHReKeTwelixZQlFR\nESNGjGDChAlMnDiR9PR0EhMTO9yOYhjGD/7va2ho4Nlnn2XTpk0ATJgwgbvuuovQ0NATq+AEVVc3\nBfT5RcfExYXLa9VFyGv1XR+tW82Gg6Vc9dU6gl1tR9++GqrRY+b5NB6sAsPAUVfH8IvPJfuz1WhO\nH7+96V7Cw8NPad/k9eo65LXqOuLiTu37tiMu/2JtoLsAwPvnTTrtz+l2u9m5cydbt25ly5YtHDp0\niGHDhvHII4906Pp2R2ojIyO54447mDBhAn6/nxEjRgQ80AohxKny7QVd0zL6kPzPfxKst5zx4zaZ\n+M+wvgy68Gy+WfohkSlJOOsaCFFVspd9QZI1kp/e/BPCwmTbLiGEOFZBQUFEREQQEhJCZGQkNTU1\nNG0Q+xIAACAASURBVDQ0dPj6dkPt2rVreeihhxg2bBiGYfC73/2OBQsWMHXq1BPquBBCdCa6rrPk\njb+R7bTjcToY2GRndmUNIYcDrUtT2TpzEgnDBgAw+LzxeH0GpiALSeUurrvkykB2XwhxhuiOx+R+\n8MEHrFu3jk2bNpGamsr48eO5+eabGTJkyDEtsm031D711FO8+eabpKWlAWCz2Zg7d66EWiHEGeWR\nl56jduwoeoSEEFN9iBlvvQOH59B6LBbeSogkJjKM2MOPdzU5sMZEER7Xg5LivYHruBBCdHH3338/\nEyZM4Jlnnjlqc4Jj1W6o9fl8rYEWIC0tjXam4QohRJfy0ZdfsLu2mp6HA+23F4W5FIVlfZOJvuhc\nGssrqPh8PTEpCdQUlzFoQMui2SZ7cyC7L4Q4g3THhWIrVqxg3bp1PPPMM5SWljJmzBgmTJjA+PHj\niYyM7HA77YbapKQk/v73v3PllS1/WnvvvfdISUk5/p4LIUQn8un6Nfxz69doVivWvfu45NuLwixm\n/hEZTNoVFwPQo28v7LV1+IKCcdid6H6dQ0WlmJv9gSxBCCG6tP79+9O/f39uueUWXC4XmzdvZv36\n9Tz//POEhITw7rvvdqiddkPtggULePTRR3nppZcwDINx48Z1eBWaEEJ0ZvnFhby5fSNhGWmEHMjl\nyi9WEexvmdHmVBTeSImnOeHo7bgsIcEER0fhaGgmZ+MeTCYzPxp1diC6L4QQZ5Ti4mK2bt3Ktm3b\n2LVrFyEhIa371XZEu6E2NjaWZ5555oQ6KYQQndG7m9eTfP5UoqsOMX3NN1i/FWjfHzuUvIOVWOqb\nKd2+m9QRQ/A4HDQdrKS5ooqQuFishxqZPHgkk8dIqBVCnBx6Nzwm94477mDHjh1ER0dz9tlnM2XK\nFB544AEiIiKOqZ12Q+3HH3/MX/7yl6O2VFAUhZUrVx57r4UQopNwOh0U1B6ib9Uhpr/zPlZny5QD\nT5CFdwf0Rh0/DuW1N4jrlUzx5p1U7NmPo7aOsPhYEoYMJCFrEEk5B7lokiyaFUKIE3HRRRfx8MMP\nExcXd0LttBtqH3vsMZYsWUJSUtIJPZEQQnQGuw/sZ9mOrRSWFBIbZGH628uwutwAuDSNVVdfRm1d\nLa51G4hKTaL3pHGkjhpG+b5cMkcMxbb+axKyBuE6VEtaj/gAVyOEEF3fhg0bGDx48PeG2tzcXF55\n5RUWL178g+20G2rT09MZNWoUqqoeX0+FEKKTcDodvLx1I74hQ4iuOsiNObmtgdapKvx74hi8SQk0\n7dhB2rgR1O/bR/n23aSMHIrh96EoCiafgb7zAFlhPZg8TaYdCCFOru64T+0999zDwoULqaqqYvTo\n0SQkJKBpGuXl5WzatImEhATmzZvXbjvthtpbb72VOXPmMHbsWDRNa73/zjvvPLEKhBDiNHI6nbz6\n/nvk5R2gT1UlN+7dh/Xw3jnuIAtv9utFaV0dyocfoaFjz89jwJSzsW3bTW2hjaCYGAzDoF9kLHdf\ndkOAqxFCiDNHYmIizz77LMXFxXz55ZcUFhaiqippaWk88cQTpKend6iddkPtH//4RzIzM48KtEII\n0ZW4XC5++9br1I0YxZC4RK55dymhhwOtS9N4s19vfGeNxbI/h7iMJOwF+fSbPA7dr1OTW4gzv4zk\n/gMI23GAm8+/NMDVCCHOZN1xn9ojMjIyuPnmm4/7+nZDrd/vZ9GiRcf9BEIIEWifbVhL7bARJNTW\ncM2/l7UefetU4OOLp6ENHIDhcmE/WIHW3IjZ6aBm2z7CnTp/uud3hISEBrgCIYQQ7Wk31E6ZMoXX\nXnuNyZMnYzabW+9PTk4+pR0TQogT5fF4WPn1OrLz8ohLz+CaD1cQcvhgBaem8v6oIezbuxdzSQk+\nhwOLSaXfBeeQt/xTeqkR3Dj7igBXIIQQoqPaDbUfffQRAH/729+Oun/VqlWnpkdCCHESOJ1O/m/J\nIuxJKaSazPz4X+8ScviIb6eq8taIoVSbFLKuvhyv3YG7uRlncRH5q9bg0L3sT4xk1TfrmHrWxABX\nIoToTrrjPrUnS7uhVsKrEKKr8Xg8XPf7hwifeRX9HXZm/+sdQlsDrcIbWQNpio8mMjKCsm824a6r\nx2zWiO2TQczY4ez/dDWW6CjK88oDXIkQQpz5Bg4c+L0/UxSF7OzsDrXTbqgVQoiuJLcgj7v//CIh\nQ0aQ5LBz7fJ/EeL1AuAwDF7QVIIH9iKxTy8AzGGh5Lz1NpN+fjsAPpcbj8OFq7yCfkmpAatDCNE9\ndceFYjk5OSelHQm1Qogzxq79Ocz7x8tEnH8JPXJ2c+3GDa1zaB2KwrvjRtHQ2EDFF6txVh9CUVWa\nDx7EGhHOnvc+IDw1meaqGsx+nUlKKOOGjQxwRUII0X0cOnSIDz74AIfDgWEY6LpOaWkpjz/+eIeu\nl1ArhDhj/PXzT1DDw0lsbuTmPbsI8fmAljm0L0RHETFuNKk+H/nLluP3etBMJiIS4ggfPoS6omJc\ne/L48cUzmTx+UoArEUKI7ufOO+8kIyODHTt2cN5557F+/XomT57c4evbDbX5+fm89dZbranZ7/dT\nVlbGG2+8cUIdF0KIk+n5N/9JodNNKgo3f7yCUL8fAAfw16REmlISibZYcDQ0gqria2wkKD4Oa0Q4\n0b3SCQoPJdESKYFWCBFQ3XH6wRF1dXUsXbqUxYsXc/755/PTn/6Uu+++u8PXt3v27S9+8QsiIiLI\nzs5m0KBB1NTUHFNqFkKIU+0v/17G15HRZGYN5vai4qMC7csZ6aizZuKpq6O5rJyKr78Bvw+/10d8\n1gDiBvVveWxxGbMvnhnAKoQQonuLiooCoFevXuzfv5/w8HDq6uo6fH27I7WGYXD33Xfj9XrJzMxk\n9uzZ3Hrrrdx+++3H32shhDhJiouLWOd2kx4WzjXv/4uQw4HWqar8JSmJyrBQrNu24ayuJm/ZclKn\nnUts5iAMw6D46w1EmjUig4K5pOcgevToEeBqhBCi+zrrrLO4++67efDBB7nlllvYu3cvFoulw9e3\nG2qDg4PxeDz07NmTvXv3Mnr06GNKzUIIcao8/OKfWF9aSnpIKNesXk2Ixw0cnkObnEJDcjw9J07A\n73bja6hDB0Li4oCWbWJix53FKFsVs6dfEsAqhBCijdGNpx/84he/oKSkhJSUFJ588km2bNnC3Llz\nO3x9u6H20ksv5fbbb+fJJ5/k6quvZs2aNcTHx59Qp4UQ4kR4vV7uXvQIReHRZJ1zHjeteLct0Goa\nL/XpR/7BUhLSk6jdswd3bS2WkGC8jQ0c2ruP2MxBmIKthGfnctlVNwS4GiGEEEcUFhby5ptvomka\nEyZMICEhocPXthtqb7jhBmbOnElYWBivvfYae/bsYcKECSfUYSGEOF6GYfB/SxZja2hkyJhJLYH2\nyLZdwF8zMqiOjiAufgjOioMYXi94XCSOHUn1zt34FIXaA3lcHBPP1dfehNnc8T9tCSHEqdadR2qf\neuopNm/ezEUXXYSu6zzzzDPs3r27w1NevzfULl26lNmzZ/P8889/52f79+/nzjvvPP5eCyHEcSqx\nlVAbHEx6cCg3ffCvthFas4VnVQXf4CwSevemdutmwpKT0TSVhNFD0f0+dK+H2H590Xbu5/qfyGeY\nEEJ0JqtWrWLZsmWYzWYAZs+ezaxZs0481B5hGAaKonznv0IIEQiqqhJbWcldTY2EHgm0JhPPWK1o\nN95M046tBCcn05SbS2h8LM6yUrxVB9EsJnpfeB6NhcXcM3tOgKsQQgjx38LCwnA4HERGRgItU83C\nw8M7fP33htrZs2cDcNddd51gF4UQ4sQ5nQ7eWvk55voG7qmtIVjXW+43m3ll5Giaw8OJUlUsMbFU\nfPhvsi69kIodu4mYeh7+ilLSx4/Fa7fTs95JWlp6gKsRQoj/rTtOP3j00UcBsFgsXH755VxwwQWo\nqsqXX35Jr169OtzO94baESNGAC0jtS6Xi7CwMDRNo6GhgdjYWNatW3eCJQghRMe89tF/+OfKL0iN\nT+SuggNtgVbT+EuvPuQVFRCZNRgAX2UZw6+ZiWo20evciez451J0HfQDhVw/fQbnXXWD/LVJCCE6\nkaysLBRFISsrC6D1M7pv377H9Hn9vaF2+/btAMybN48pU6Zw4YUXArB27Vo++OCD4+64EEIci4/W\nruWVLz5n4KgJ3L5hZevBCi6zmX/NvAJvYiLhWzahezzYlr5OZGw4itZyrozh89PDbOXXN95Kr4xe\nEmaFEJ2e0Q2HamfNmtX69f79+9m0aRN+v59x48YxaNCgDrfT7oli+/btaw20AJMmTSInJ+cYuyuE\nEMdn6brVDMxIbwm07pZdDpxmC69mDaEiMbHlQaqKpUcsEfExJE85l5L1G/E028n/aj2pAwbSu2dv\nCbRCCNHJLV++nLlz51JaWkpZWRlz587l3Xff7fD17S4UCw0N5Z133mHGjBkYhsGyZcuIiYk5oU4L\nIUR71mz6mnf+8x9Up4vbS0oI9XoBcFqCeKHvQCq8bhIAZ2UFqCr1m78heXgW5tBQmmobMPJtRGT0\nZly4fF4JIURX8Oqrr/Luu+8SHR0NwM9+9jPmzJnDVVdd1aHr2w21S5Ys4dFHH2XRokUoisKECRNY\nsmTJifVaCCF+wC+eXML2mnp6RkRyd0UFoX4f0DKH9k9xCdj7ZmBtaKDwtb9hsloxhYZgDQsmJDYW\nR2UVNDUTf7CKK6dMY8zgYQGuRgghOq4bzj5oZRhGa6AFiImJQVXbnVTQqt1Qm5KSwksvvXR8vRNC\niGO08NW/stVWxsDho/nZ5nWtgdahqvwlOYXmwZlE9uqFt7GRxtwDpF9yCTUbv8ZZZqNi82bS/PDm\nrx9t3edQCCFE19C/f38WLFjAlVdeiWEYvPfeewwcOLDD17cbatesWcPTTz9NQ0ND6+RlRVFYuXLl\n8fdaCCH+hzWbN7FODaFXQlJLoP3WHNpnwyModbvo3a8/AA052cT1Sqdm9RfETZxEc1QkzspKLhgz\nXgKtEEJ0QfPnz+e5557joYcewjAMxo0bx+9///sOX99uqJ0/fz7z5s075m0VhBDiWK3LyycjNoH/\n+2Y1ob62ObQvDhpKSVEuMZlZVK9fh6euDlwOYs8ahWIx462vxxIWii+viQvPnRrgKoQQ4vgZeqB7\nEDjBwcE88MADx319u6E2JiaGc88997ifQAghOirR7eKide+1BlqHqvJcXBKF+TnEjhpF9JChOMpL\nsRcWEBQRTtnmHfgddqISE0kPj+DBe+cFuAIhhBDH6oemGCiKQnZ2dofaaTfUjho1ikWLFjFp0iSC\ngoJa7x8zZkyHnkAIIdqzIzubnVu3MHbjBiyHdzlwaCb+3LMXysUz6OnzUfXFZ/h9flylxfQYPgxV\nUfE01BNjd/HM3F9gsVgCXIUQQpy47rhQ7GRtFdtuqN21axfQsl/tt7322msnpQNCiO6rrOIgC//5\ndxxuP3eVFmE5ssuBqvLnlFRq+/UjHFBNJvz2ZtwVfsxBQXjrGwhOiEMpKmbBg7+RQCuEEF1cbW0t\nDoeD1NRUXn31VRwOB5qmceutt3b4M77dUCvhVQhxKlTX1DD3hRfoEZ/E3cW72rbtMpn45znTcA7M\nxL11I6E+H86SIhTdS1hUHIqh49e9WPdm87eFTxzTdi9CCCE6n23btnHPPfcwb948UlNTWbp0KZde\neilbtmzBYrFw6623dqiddkPtli1bePnll3E6nei6jq7rHDx4kFWrVp1wEUKI7skwDOb9+SVCmpq5\ns2ZX2y4HJjPPpWbgSknFBGjBIVR8/CFaSAghMbGE9RuAs6yM4LIynnng1xJohRBnHL0bTj944okn\neO655xg+fDgAISEh3HnnndTU1PCTn/ykw6G23X8Rfv3rX3Peeefh9/u54YYbyMjI4Kabbjqx3gsh\nurXtu3fSXFbOfY6mtkBrCeLFwSMpcNpxVVZiGAbe2kMkXXIZ4bGxXJc1hKFOFxMjY3jqzl9gtQYH\nuAohhBAnQ21tbWugBRgwYAAAPXr0QNc7vh1EuyO1VquVK6+8krKyMiIiIpg/fz433HCDBFshxHHx\n+Xy88teXecDrIkz3Ay1TDl4YNIycojySLr2cujUrady+GXNyKlWbNjPY0Jl14cUB7rkQQohTwe/3\nH/X9Y489BrT8Ve+/f/ZD2h2ptVqt1NfX06tXL3bu3ImiKNTW1h5jd4UQ3Z3f7+ePby3llvvv51af\ntzXQOlSNF0adQ05lBWG9e6OFhqEYBoSEEjRqMqHRCcwcPz7AvRdCiNPDMDrH7XTKzMxk2bJl37l/\n+fLlZGZmdriddkdqb775Zn7+85/z/PPPc8UVV7BixQqysrKOrbdCiG6tvqGe3738KnV+lV84mgg7\nsijMHMSLY85h75b1WCJDCU7vSc0nH6A3NzKl7wBCKgsZP6gPYwcPCXAFQgghTpX77ruP6667jrVr\n1zJ69GigZfHYtm3bWLp0aYfbUQyj/Tyu6zqqquJwOCgqKmLgwIEBX6BRXd0U0OcXHRMXFy6vVRdx\nql6ryqoK7nj+JYJcHu5rqDoq0P75/FnkFB5AL9hDzKgxNGbvITgujsTJ51C//H3eXfzkSe/PmULe\nW12HvFZdR1xceKC7wNh31wW6CwBsumriaX2+uro63n77bXbu3AnAkCFDuPbaa4mOju5wGz84Urtq\n1Sr69u1Leno6n3/+Oe+99x6ZmZn0798/4KFWCNH5OZ0O7nrln0QPPZs7Vr3fGmgdqsZzvQZRkLML\nmutJveZ6LBERRI0cTf3WTShmM26rNcC9F0IIcbpER0fz05/+9ITa+N5k+sorr/D888/jdrvJycnh\nvvvu47zzzsNut7dO4BVCiB+y/KuviBgwnDu+fJ8wT8suBw4UnoqKpVgziJ4wiZgZs2jOPUDdlk3U\nb9+Ct7mZ8k8+Jlh2NxBCCHEMvnekdvny5bz99tuEhITwxBNPMG3aNK666ioMw+Ciiy46nX0UQnQx\nXq+X1z/5lH1bNnNH5UHCfB4AnGYLz/p8NE2/lOiwlj/zuctKaN69g543/hhV02jKO0D9/jzmjB4V\nyBKEECIguuMxuT+kqamJ8PCOTQv53pFaVVUJCQkBYOPGjUyc2DK3QlEUFEU5Cd0UQpyp/vDPN1hr\nV7m2uvKoQPtkcDieG27Ek70dx76dNG/fiHGwhKTLr6Ypu+Uo7vC+/TGHhjBikCxIFUKI7mrHjh3M\nmzePyZMnd/ia7x2p1TSNhoYGnE4n2dnZraG2vLwck6ndTROEEN3UC2+8ia3Ozs+3rmibcqCo/KlP\nJodCg0iMjCJ+wkT8Lhee2hp0nw9zRCROT0v4NXQdpaqCpKTkQJYhhBABYXTHI8UOa25uZsWKFbz9\n9tvk5uZy2WWXHdPuB9+bTm+77TYuv/xyvF4vV155JfHx8Xz88cf88Y9/ZO7cuSel80KIM8uzb7/N\nDo/Kz3O3ty0KM1v4Y0gkpS4XSn01zrJSglNS0axWXGWlhA0Zjr2oAPehapoL8mnYvYvbzp0qi1GF\nEKKb2Lt3L0uXLuWTTz5h8ODBXH/99bzwwgssWrTomNr53lA7ffp0RowYQV1dHQMHDgQgODiY+fPn\nM27cuBPrvRDijLN5z2527s/nzsqStkBrMvN0QjolHieWyEhixo7GU3UQV8VBXBXlKEHB2P/zb3ST\nGTUsguY9e/np5ClcNuXcAFcjhBDidLniiiuYPn06y5cvJyUlBYCXXnrpmNv5wXkECQkJJCQktH4/\nZcqUY34CIcSZzTAM7nriSWodPn5Zlt92UpjJzNMxiTRMm06MZqJh9Sc4bSVEjzy8AGz7FkL79sf2\n9psk3PATTFXlXBkRJoFWCNGtdceFYi+++CLLli1j5syZTJw4kRkzZtCBYxS+QybHCiFOyLIvPqc5\nrjf3bfrsqED7XJ8sqjN6YTVbANDdLixRUa3X+ezNHPpqJcGJqdzkbqDf4Ez69+kTkBqEEEIEzrnn\nnsu5555LbW0tH3zwAc899xyVlZU8/PDDXHfddfTr169D7UioFUIct4qqKj79ci1311e3LQozWVii\nmimvqyZ6whQA7Nm7MNwOXJUVeGoP4SjMR9fMBA0aykSfgxlTpgawCiGEEJ1BTEwMN910EzfddBP7\n9u1j2bJlzJkzh2+++aZD10uoFUIcl6Wff8Fn32xlbnUZYYYOtCwKezojk6LyYsJSM6j7dDmKyYy/\nsZ6Ey67AFByCs7gA//4chvftydnx0Vw57aoAVyKEEJ1Hd5x+cER5eTn79rVs7zh48GB+85vf8MAD\nD3T4egm1Qohjlp2Xyxd5B7nzYGFboFU1nk7tT3lGHyzOJsJGntX6eO+hKg79Zxmh/Qbiraok+vyL\nSXI0cdV55weqBCGEEJ2Eruv89re/5cMPP6Rv3754vV5sNhszZszgkUce6XA7smeOEOKY7f7qK+7Y\nubZtyoGq8ZcLr+bQxPMx9YhHryjF19TY+nhvZSmqZkL3eAnOGoYpMoZwVQ5xEUKI/6YbnePWETU1\nNZxzzjkUFhayb98+Jk2axJw5c5gzZw4ff/wxAO+88w5XXHEF11xzDatXr/6f7bz00ks0Njaydu1a\n/vWvf7FixQpWrlxJbW3tMe2CICO1Qohj8pe/vsLorRsJ83mBw/vQpvbHlp+NWlqEp/gA4Rf8iMav\nPiEoMQVFUwmO64HF5yXOGoSroZ6eNZXcPPvaAFcihBDieHm9Xn73u98RHByMYRjs3buXW265hR//\n+Metj6murua1115j2bJluN1urr32WsaPH4/FYjmqrY8//pilS5cSGhrael9MTAxLlizhqquu4o47\n7uhQnyTUCiE6ZNknH/POp19yv72WMP3IPrQWHvOr1KSkE9FnAABOswlrchrW5DQav/qU0KQEGrdv\n5dErruCs0ePweDwEBQUFshQhhBAn6PHHH+faa6/lz3/+M9BygEJhYSErV64kIyODhx56iF27djFy\n5EjMZjNms5mMjAz279/PkCFDjmrLMIyjAu0RoaGhaJrW4T7J9AMhRLv25eXx9upveMDdSPiRQKtq\nPDt5FrbEdBS15UPHMAyMwyO4AFpUD7TUvgyOi+PsMWehKIoEWiGE+AGG0TluP2TZsmXExMQwceLE\n1vuGDh3Kgw8+yOuvv05aWhrPP/88drud8PDw1seEhobS3Nz8nfY0TcNms33nfpvN9p1R3R8ioVYI\n0a5PP1vFA3VlbXNozRaeTMskr/ogQX0H0bTxSxz7dtC0+kOCUlIB8DXWo1fYGF6ay5N33RPI7gsh\nhDiJli1bxoYNG5gzZw45OTn86le/YvLkyWRmZgJw/vnnk52dTVhYGHa7vfU6u91ORETEd9q79dZb\nmTt3Lps3b8btdmO321m3bh233347t912W4f7JdMPhBA/aNMXn3PO9m+O2rbr2bMuIX/vFkIHZOEt\nOkDMhZfiyttHxNjx+CrKcO6uwlRXzT9u+z+Sk1MCXIEQQnQdXWFLr9dff7316zlz5vDwww8zd+5c\nfv3rXzN06FA2bNjA4MGDGTp0KE899RQejwe3201+fv7/PEjh0ksvxefz8eCDD1JeXg5Aeno6P//5\nz7nwwgs73C8JtUKI71Wxexemt986atuuPyb148DXnxHULxNP7l5MEWFY4hIwx8bTuPpTzGaNhPBw\nbp42VQKtEEJ0A4qi8PDDD/Pwww9jMpmIj4/nkUceITQ0lBtvvJHrrrsOXde59957v3c6waxZs5g1\naxa1tbVAy0KxY+6HcTyH63YC1dVNge6C6IC4uHB5rbqI/36tXLYS9s9/mGD/4aNvFZVnUvtQltqT\noL6Z2Ld+g9ojHu/eTZjj4lFDwsHvZ4i3mSd/eX+gyug25L3Vdchr1XXExYW3/6BTbOhrawPdBQB2\nzZl02p6rsrKSRx99lKKiIkaOHMl99933P6cptEfm1AohvsNts1GyZHFboDVbeGHa1RRHJxDcfzCq\nqqJoKkZ1KbGzrsOa0QdFgbAx4ynIGstH6zrHh7IQQnQ1gV4g1pGFYifbvHnz6N27N/fffz8ej4dF\nixYdVzsy/UAI0crr9fL3v/2D0Vu+JlT/VqA9ZxbFPRKhsgQAw+vBV1ZI7KxrURQFa0Zv3LYiHHu2\nEzJ4BLZDxYEsQwghRBdSVVXFvffeC8D48eO57LLLjqudUz5Su3PnTubMmQNAcXEx1157Lddffz1/\n+MMfODLzoSOnTQghTr1X//Z3Rm3f0hZoFYVnR59PUXQ8jq8/x19/CPvOzdQufwNLaiqK0nIqmGEY\nqNYQAJSDNgYlJwesBiGEEF2L2Ww+6utj2cbr207pSO1f//pXVqxY0bqh7qJFi7j33nsZM2YMv//9\n71m5ciXDhg3r0GkTQohTK2fdesZu+eaoEdolyQMp9fkwcnbgb25Ei43F53ShxSfjLimkyWTBHJeA\nu7SY0KGj8ZUUcoVVYfKo0QGuRgghuqbD63K7lZO1vOuUhtqMjAyef/55HnjgAQD27dvHmDFjAJg8\neTLr169HVdUOnTYhhDh13njtdQatX0PYtwLtM+NnUZi3m+DYJLxFB9Bi4tCieuCrPghuJ5aUnijW\nYNxlJYSPnYTh8zJW83PdxTMCXI0QQoiuJC8vj6lTp7Z+X1VV1fq9oiisXLmyQ+2c0lB7wQUXUFpa\n2vr9t5N4aGgoTU1NNDc3d+i0CSHEyafrOpV7djNo3VeE+VtOArMrGk/E9aYgZxuWjL7odYcI6j8E\nb/F+dHsjQX0y0WvL8FdXEHHWZPxfr+a86mJ6hARz5fXXB7giIYTo2rroplQn5JNPPjkp7ZzWhWKq\n2jaFt7m5mYiIiA6fNvHfOsO2G6Jj5LXqnP7x4Wd8tHY7txzY2jZCa7Lw9NmXU7h1FdZ+AzFcTZgH\njMBfX4PPlkvwoBGYE1NoztmGFhwMQGyPaH576/VHvb/F6SHvra5DXishvl9qaupJaee0htpBfYtD\nAAAAIABJREFUgwaxadMmxo4dy5o1azj77LM7fNrEf5M9/7oG2Z+xc9q6Yzuvv/85v2woOyrQPnX2\n5eQ11GBOSkKxBGFOSMGzdzOewmyiZt2MoijoLgeq2YwpNIzg3H1c0a8PNTX2dp5RnGzy3uo65LXq\nOuSXj67ttITaIyukf/WrX/Hb3/4Wr9dLnz59mD59OoqidPi0CSHEifvHBx/yn11FPNhQRrjXDYBd\n1VjsU7EV7kFx27GOnYjXVog7ZydaWCQhoybg2rkRv8uBWlXKH669hp7x8cTE9Dhq+pAQQogT0w1n\nH5w0cqKYOKVkhKJz0XWd6x5awP0NZYR7XUDLCO2TZ11OgTUctWwfocPG4lj/MWETz6d5zSeETbkE\nRVFw5+7hLF8T8268gdDQsABXIuS91XXIa9V1dIaR2sxX1wS6CwDsu2VyoLtwzOTwBSG6iX25ucx/\n9kXud9UTfnjPGLuq8cezLqcwOhEF0I3D82I1C/YNK/GUFuJY/ymmqFisHjszL5gqgVYIIUSnJCs7\nhOgmHn/uRX7pbjwq0D6eOIDC6EQADF1H8Xvw19fgrSpDd9iJvvwmLL0HgaGjjTmHz3P2B7IEIYQ4\n4wX6eNxAHJN7sshIrRDdgL2wgLucbSO0DpOFx6IyKEnPxL/naxRNw2/LxZqaimPrGkxR0URM/RGK\noqCFR+J2OfE31qN10Q86IYQQZz4ZqRXiDOeylZC/eOFRgXbJ2MvJNwejl2Sj+r1o3maipl2EOTYB\n/D7MsQmtCzwBFKuViAM7uPrssYEqQwghugXd6By3rkhGaoU4QzU0NvDB0ncYtGkD4bR8Qtk1M0+M\nvZx8SwhGXRWmUZPxF+/DmpGBOToWc3QsqskEXheu3L1Y+2Vh+LwkFWXzzB23ExUVHeCqhBBCiP9N\nQq0QZ6CauloeefYv3Gg7cFSgXRyVTlFVKf7KYggJQ4tNwnA04j1oI6hnfwA8pUUMjQomr8mBvzCH\nKf17c+/9v8RsNgeyJCGEEOIHSagV4gz0+NMvcOPBIsI5vCjMZOHxUTMpKC8kaNBoUBTUIyHVZMHf\nUI9z92Z8lWVkmBWev+t+DMM4agqCEEKIU6+rLtLqDGROrRBnmPyN33B1RTHhug9oC7T5kfHodZX4\nm5vQywuw9BuK4XGj2/YTdt7laInpJPrdvPyrBwAk0AohhOhSZKRWiDOIy1ZC48t/Jvzwr/p21cTi\nHv3Jr6mE4v1oo87Du/pdtOgY3KvewZycjuKox7VnM5rTzi9mX43Vag1wFUII0X0dXtMrjoOEWiHO\nEG6bjYJFCwg9EmhNFh4bNZO8miqUkDBMfYejN9YQPHIC5p4D0RtqUZsPoWka5qpSHrrqEsYPHx7g\nKoQQQojjI9MPhDgD2AsLsD2xGJPH3fK9ZmGhP4gD279EqS5C1Uzo5fnoezegRse1XGQy4bc3YRh+\nElPSuPrCaQGsQAghhDgxMlIrRBf32j9eJ2vDV4T5vQDYFZXFpghscclYDFCHT0GvP4SiqqgDRqC7\n3ag+L+6Nn6NgEDptJvr2LwNchRBCCJCFYidCQq0QXZRhGCz7x9/J/ObrtkCLwqKe48g3WdEaKzAl\nZ6AXZ6P1zMTw+/Ft+gRd9+ABTDGxqMEhOL/6D7MvmBzYYoQQQogTJKFWiC7qqaee45x9O9q27VI0\nHh96IYWNDWBvRA+OwaitRFFUfBs/wnA0oA0aA2X5mKOjMDubCPW6uWrCGH507rkBrkYIIYQ4MRJq\nheiC3nvtdc7J2dUWaFFYMu5KCqMS0ZLA2LYS3RqGKSMTf0kuimIQlDUaz6EaLFljSWks5/EbZpKW\nnBzgSoQQQnybTD84fhJqhehiCrZspvfaLwnT/UDLLgeLQ5Mpjkpse5DFCgXb8CkucNpRVI2o0lzG\npiaQFunmggsuJCk+IUAVCCGEECefhFohupC8TRtpeuXlowLt46Nmkrt1Faa6StToBPTmevSKIoJH\nT8aS1g9D1xmev56nf35XgHsvhBCiPYYM1R43CbVCdBF7163D/fdXCOPwPrSamcdGXUYBKqZemRi5\n2/C6nRg+L4azGUtaPwAUVSUsLimQXRdCCCFOOQm1QnRyPp+Phx9dzMyyAsKPBFpgoTWe/B3r0O2N\nBE24CCXIin/3erTgUNSEJAzDQFEUlKZ6smIjA1uEEEIIcYpJqBWik3vwD4u49lDpUYvCFo+aSXGP\nNFSXE3K34yvIwTRgFOZ+w7FmjUZvqifoi7cYMWoMQ+IimX3B+QGuQgghREfI7IPjJ6FWiE7MbbNx\nXWUR4cbhObSKxqLo3hT1SANAtQajW4IgKAijsQZTeMuIbGhjNS/eeye90tMD1nchhBDidJJQK0Qn\n5bbZsD2xuC3QahYWJo8gv7HmqDeu4XZCWQ46fvyJGZgP5nPX9HMk0AohRBckI7XHT0KtEJ1Q8fZt\n1L34AiG6D2g5+nZh6hjy3C6MgwX4vv4AJS4N41AppqAggmfeiqKqeD57gy/+uAiz2RzgCoQQQojT\nS0KtEJ3M1lVfwpuvtc2hNVlYENGLgvieYA5C9XswXM2oHjtKaBimqBgUVcVwuwgOjwps54UQQogA\nkVArRCdSd2A/6tI3CD0SaDUzC+OHku9xo1QWoXidaMPPwcjbjmnAaAyvB+/ad1FDwtCrbAxNTZJR\nWiGE6MJ0PdA96Lok1ArRSbhtNqqee5rQI1MONAuLB19KXnUpeOrQRkxBURR0eyOKyQKAYraga0FE\nHTzAqD49ueuSCwNZghBCCBEwEmqF6ATcNhu2Jx9DcTqBtkCbqwZBXRlqWj+M/ZsxVBXdloP5vBsA\n0F0OTK5G3rj3fqKiZOqBEEKI7ktCrRABdiTQ6s3NANgNWGhNJL/0AHpjNWgqpl6DAfDnbETrNRjf\n6rchKBTD44JJs3l71Rpun3VpIMsQQghxMsjuB8dNQq0QAfS/Au2CyF4Uj/sRGqDqOvrX/8bI3dxy\nQXUpfpcD3efBNPJC1LCW0dkatz9AFQghhBCdg4RaIQJkx+rVaEvfJMjnAVpOClsw5EcUNNeiHX6M\noqoo1lAsWWMxdB1faS7XnXMW2w7Ws/9woA1qqGRkVmKAqhBCCHFS6TJUe7wk1AoRALvWrEV/6w1C\n/F4AHCgs6D+NwtgMjIN5GIbRsiisuR6jvgLPnm/A50U9awY1zUU8fsNl/PnTr3AYKmf3jWP6hLMD\nXJEQQggRWBJqhTjN3DYb6luvEXY40No1Cwsi+5OXvQnFFIbSdyz6vq/B0YhitqBEJWAadFbr9bvr\nNBLj43n4pmsCVYIQQgjR6UioFeI0OjKH1uI9POVAszDfmkxBcyPqoCnQWIdevBfF50TpkYBisaKX\n7j+qjRB0VFUNQO+FEEKccnJO7nGTUCvEafLfi8KcisrCkAwK7HbU0T9CUVWISQEU9IZitIHjUDQT\nalw67jXLMQ0aQ5T9EDefNTCwhQghhBCdkIRaIU6DvE2baH7lL4T4Dx+sYMACUxz5TU0ocRktgfaI\n0Cgo2YpRvBd6DkaJikM3W0nP28DLv3mAyEjZj1YIIYT4bxJqhTjF3DYbzS//mRC9ZdstOwoLkkZR\n1HssSu4WlIh4jLL9KCkDMHQdI+8bTNOuQzEM9N1rMQZPon+4mX88+HuCgoICXI0QQohTSZHdD46b\nhFohTqEjUw5aA61mYfHAGRRUFKMCqAqGxYoC6DkbMKoL0KZdg2puCa/qwDGk7v6IZ385VwKtEEII\n8QNktYkQp8h3DlY4HGjzwxJAMwOg9hmFkbMGo7kM3PWQmI5etAfD0FsaURRumz6F+NjYQJUhhBDi\ndDI6ya0LkpFaIU4Be1EhRY8twnxklwNUFljTKAyKAq8b41AxuskETTUYFhOqYmCcfSmqomA4m/Ef\n2IbWZxjBu1bxaXM6wwYMJDkxIcBVCSGEEJ2XjNQKcZK5bTbyFy1oC7SqhcX9fkRRnynomz9Ez9sI\ncWnoJbvRmw+BouBvrAW3HQAlOAyjqQ7vuvdxZJ3D17FDWbT800CWJIQQQnR6EmqFOIncNhu2JxZj\nPbLLgaKxuM9FFITGtxx5G9cTkvpiOBrQzrsJJTwaNaU/6pApUJqLUWXD0P0oweGo42dBeR4A5e7A\n1SSEEOI00o3OceuCZPqBECeJvaiQvIXzCf7WorBFQekUhsYDYBgGRo0No6YIZeBYdHsDmINQMga3\nNNBnBPq2z6CqCGXAWPA4wWTBMAxSgrrmB4wQQghxukioFeIkcNts5C6YT4hxONAqJhYqcRSmjcS/\n6xOUyEQUrwstayp6eTZG6QEMrx0lIeOodqKDLTSkDkK115NQvImY9D4kNmZz35UzAlGWEEKI062L\njpJ2BhJqhThBdQf2U/LE422BVrWwuM908gt3QeUBlKBgtF4j2i7QTBg+BSWpH5Tuw0jqixIWTVBT\nNbeePZis9CQ0VWPwoOkoihKgqoQQQoiuRUKtECfAbbNR8uSStikHhwNtQUg8+L0ovUZCyW50ZxNq\ncHjL4QrNhzA5a7F6atGHT8JTV4apZBczMiK5/uJbAlyREEII0TVJqBXiOB3Zhza49ehbhYXWDArc\nPoyilegeF0r2GnA2Y1QXYsT1gpoSgkJC+Peih7j/X5+zPzYNLTYNAyisyQ5sQUIIIQLPkOkHx0tC\nrRDHwWUroWDRAkyelm0J7GjM94eS39yIEnwIdeA5mM0W/EXbMIKDUYNCwe+DgWcTV7SOhISE72w9\nospMAyGEEOK4SagV4hi5bTbyFs7H0roPrZkF3nAKgiPQRlyAkbcZo3wffnsd+qFC1HGXo0bGAeDP\nXoc1JoE/vbcCT201Jl8e3sQ+RNUUM2to70CWJYQQQnRpEmqFOAZH9qG1fPtghZ7TKTxUhhIeh1Ge\ni9r/LAy/DyN/C0rywNZAC6DE96Im90te6T0BpXcqerWNwbs/4ne33EC/Xr0CVZYQQojOQg90B7ou\nOXxBiA5qCbSPodtbTv46EmgLQuJA96HFpMLBfPSdn2MUbEPpPQqcDRgeV1sjDVXUNTvB5wVAjUvD\nHdtTAq0QQghxgmSkVogOOLIoTLc3A4cXhWlJFDTUQlUJSng8ht+L4XVhKAZan9EoioKS0Bt9/9co\noZHg97UcwBCVgFK6H/qPBiBak1/LhRBCtFBkodhxk1ArRDtaA21zW6BdoMaT53KBPRslNBrFHISR\nV4gyfDoUbUXf9D5KRByGyYzhbECxWMHvxXDUo/RIIc1xEEf5HhI1H/f8aEpgCxRCCCHOABJqhfgB\n3wm0iokFahyFfc7CHNly/K2vZDdEJaH1bTlgwd9ch5HYGwUdre8YAAxDx79rFUr/McSV7uRfi3+N\nYeiYzZbAFCaEEEKcYWROrRDf478DrQOVxcG9yHd7UUxtYVRL6A31BzEMAz1nHWrmRFRFwfD7j2ov\nUndytq+Ud35zNyaTSQKtEEKI79KNznHrgmSkVoj/wWUrIX/hfMyHdzlwoLCo3yUUhMSj+n3o+d+g\nZZ0DgF5diG7bA4dKiAlSaIyIxagqgLg0/Ae+QdEsGLXl9EiI57c3XElUVFQgSxNCCCHOSDJSK8R/\ncRQXkfPIH1oDrR2VBaYU8o0g9NyvoXQfuJ34dn2Bf/869JK9KP3PxuqqY0ivZIJ3f4qBhrl0H0qP\nFAxNQ0noQ0nyGN5YuS7A1QkhhOjUAj1CKyO1QpwZ3DYbBYsWEGK07EhgN2CBKZ38pjoo3o5p4JTW\nx/r2fobuqEEbeh56VQEx/QazPmoURIGWs56picGsajiEP7E/iiUYAAM5NkwIIYQ4FWSkVojD3DYb\nRY8vxHJ4D1k7KvO9URR4PChx/VBMQUc9Xo2IR8s6Dz1vE5TupTJ5ZOvPjAHjWVXmZFxwU2uMTa3J\nZtaEUaerHCGEEKJbkZFaIWiZQ1uwaAEmjxtoOfr2scTzKbTtRsucCrof/96PMbwuFLMVQ/ehNx1C\nS89ECY3GSOwFzkYIiWxp0NmMLyiCq6eOYWpDM/X2as6fcSGpSUkBrFIIIUSnJ/vUHjcJtaLbc9lK\nyHnkD21TDg4H2gJrLEpIDxRFBU1F7T8V/9ZlYA1HCQpB7T0Sw7YXw+dCSR1I+PYVNCVmgqph1B5k\nQI9QRg8dQnBwSIArFEIIIc58Mv1AdGtum43c+Y+0BVpUFkeOocAai+5xYjTYMA7/1qwoYHhcKNEJ\naEPPRw2PRe01CsXrIexQPt7IFAyPB/VgPiOiFJ7+ySwJtEIIIcRpIiO1otty22zkLnyUIL8PaBmh\nXWTuSZ7uR6nYA6oCfcZi1BRDVBL+gg2oE68H286j2glX/fhK83CGxqGkZ2KkZuG17ychPj4QZQkh\nhOjK5OT04yahVnRLbpuN4iWLsBzZtstQWGzpSx4WtJSs1scZrmZ8OV+iRMajDbsQRdXw1ZRipDla\npiBUFdDcoy9qUj8UVzNG8U6UnsPl7G4hhBDiNJPpB6LbOXJSGA4HAHY0FsdPIi+qN7ia8BdsBMDQ\ndfzZq8Aw0Iacj6JqGI1VKCmZqMXbmebdjcVeiZrUDwDVGgaGTnhTGZcP7x2w+oQQQnRhhtE5bl2Q\njNSKbsVts2F7YjG63Q60jNAuUpIocCso3moMjxNdMTD2fAooGPZq0Mz4NixFS8sEsxUtNRPd52Hy\nYIMiRy75h9s2/D5GB9u550dDyBrQP2A1CiGEEN2RhFrRbbhtNkqWLMZwHA60ipmFrlCK+01GU7XD\nj1IhPAQ1Mgn/gdUEh8XgCYmC9CwMewNayiAAejfnMXH0VcTFxfGnjzdS71cYFKnyh1/dTVBQ0Pf0\nQAghhBCnioRa0S005OVS+Niitl0OlMPbdh3Mw9QaaEEJicIo3Yz/4F7OSotkxqSp/GGPjhIUiqEb\n+Au3kRnsYNFPbyAiIpIxQyL5+5DBgSpLCCHEmaaLHlHbGcicWnHGayrIp2DxoqOOvl0cN5mCoFiU\nqFT81QcAMAwDvSobIzyOIHcDLz7yEFGRESiHd0dQYlJQM4Yzdfgg0pKTA1aPEEIIIb5LRmrFGa1l\nysFjhNI2Qrs4ZDi5tj2oEbUYPhf+6jwMnxOjthBi01CdDVwyYRwA40ePYurGv7HKpWGYzAxz5HDt\nRTcFsiQhhBBC/A8SasUZ68guB+Yj23YpZh7vMZVCIwjF3YSSOgSjthjVVQ+qDkFhEN+P0NIt3DTz\nQgBUVWXR3B/z5dff4HK7mTb+x1it1kCWJYQQ4gymyPSD4yahVpyRjgRavbkZaDkp7PEeU8k3x+Av\n3YRhUjHqy9AP7sOUdQGKyYJhGITu/w+vPfJz0lLapheoqsq0CeMDVYoQQgghOkBCrTjjuG028hc9\nisnTMkLrUVQWGmkU1leAUY6SOhzDthn/wX2o5mCM8gPonibUpIEMyhxCWkpKgCsQQgjRbclA7XGT\nUCvOKG6bjf3zH8Z65OhbA+bX6BQENaDGJ6AERWAc3IXW+2yM8r2oqSNbr/WXbmZgnz6B6roQQggh\nToDsfiDOGG6bjcLHFrQFWsXM4vDJFBhm8LrBGoa/fAdqz3EopiBQj/6dzuK1c+d1lwei60IIIYQ4\nQTJSK84ILlsJufMfIehbgfbxyCkUmXugJQxCSx2Gd99/UMPjwFELYbHojloU3YeimtC9TsI8tWia\nxoH8Ajbs2EtGYhznTjgrwJUJIYToVmSh2HGTUCu6PLfNRs4jf2jbhxYTi72JFJpi0Ct2oCb0BkCN\nSkVJycKoK8VoLG8Zuc35FCUsFqO+jNRBA9iwdQePfLib2pB0TPsqua54GXdeNyuQ5QkhhBCiA2T6\ngejS3DYbRY8tOOqksMdjp1EQMxB/yRr0xlKU0B4AGI56DMNAjeuNmjoMxRyE2mscBn6UPhNRVI3l\nX++lNiQdAJ81ik+zq9F1PWD1CSGE6GYMo3PcuiAZqRVd1pFtuxSXC2jbh7bAEouCA7wOlOBI/OW7\nMLxO9OZqyP4MIyoZXE0o0Wmo4XEY7iZoOEhStAlDOfqNrACKogSgOiGEEEIcCxmpFV2S22aj+PGF\nbfvQGgqLjQwKLLEYho6/8CuMkEh0rx29sRy9qRJt6CWokYkQFI7uc6HEpGP43BgVORAWy/BB/bhm\n8gjiHYUYhkGQ8xCXDkuWUCuEEEJ0ATJSK7qclqNvF4PTCYBdMfFY+DjyqmwYB74AdyNKdCpGfSlY\nQ1Fie6GXbEXP/gx6pKFqKmpQGClFH1JlRBGUOohJCW6uuvh8NE3jxZho1m/dSe+0PowdMTzA1Qoh\nhOhWusBCMb/fz29+8xuKiopQFIWHH34Yi8XCr371K1RVpV+/fvz+979HURTeeecd3n77bUwmEz/7\n2c+YMmXKKeuXhFrRpbhtNmxPLMZw2AGwGyqLnBEUJaZjCu+Jv2IvepOB0VyFechlKKoJX/E3aFmX\noFrD0A+s5P/Zu/Mwu6o63//vtfbeZ64xqUoqSaUyD5CkICSQBAgogyjIjMqoCAq0tl5pbosihkFI\nINFrt2hfrz+1NXa3Q0t3i4oDKKCAQoDMZKpKVSpTzanh1Jn2Xuv3x0lVCIkCMalTlXxfz3OehzrZ\nZ5/1PbtKP7Vq7e+yyiGSKGHulHF84IJFjCgrY+TIioEZ2eqxY/jQG3YUE0IIIcQBv//979Fa8x//\n8R+89NJLfOUrXwHgzjvvZP78+SxZsoSnn36a2tpaVq5cyeOPP04mk+Haa69l0aJFhEKhYzIuWX4g\nho3+PrQmeSDQPpo4i4aqxfibf0Nu2+/Agk13o0ur8bf+jmDHKpQOYXe+htIOeuq7UJ07yKgIP++Z\nwH3/9jThcESWGAghhBBv0/nnn88DDzwAwK5duygpKWHDhg3Mnz8fgMWLF/PCCy+wbt065s6di+d5\nJBIJampq2Lx58zEbl4RaMSz0z9Dq/pvCDCxzT2Jb1sd0bMOpOBmCHEHbJnRsBORyKCeKHnMqzphT\n0SUTMft2AmBKx6MrpwJQ503mjy+9UrC6hBBCiIOYIfJ4C47jcPfdd/PQQw/x/ve/H/uGjgnxeJye\nnh56e3spKio66Pne/ffCHAuy/EAMeZmmJnasWIbtn6E1lqWh2dS1NqESo8FabKoNk+7GKRmLW70A\n09kA6X0Edc/gjJ6NLh5D0LaeSPNaMpPOGTh3KNfN6IoZBapMCCGEGL6WLVtGW1sb11xzDdlsduD5\n3t5eiouLSSQSJPf/fzdAMpmkuLj4mI1HZmrFkJafoX3kQKC1iod64tR1tuBOvAB31Cm4o08FP4eT\nGIUqHofp3gXawak6BXfiuZh9TZjdr1Eb7+SXX/siF5S2EO5uIt69nasnWubWzi5wlUIIIUSesnZI\nPP6a//7v/+ab3/wmAJFIBK01s2bN4qWXXgLgueeeY968ecyZM4dVq1aRzWbp6emhrq6OqVOnHrPP\nTmZqxZCVaWqicflS6OsD9t8U1pNge6QC5WdR2jlwsBMB14FkK9ZxcUYdCKq6fAqm8Wl6x9byw1/+\nnoc+9VFaW1vwvBBlZWWDXZYQQggxrF100UXcfffd3HDDDfi+zz333MOkSZO49957yeVyTJ48mYsu\nugilFDfddBPXXXcdxhjuvPPOY3aTGEioFUNU/01hA2tocVieOJcdpSNQrWvBczC5FNqLYq3FploB\ngx5Ti7/zNXTZZFQoBoDpa8VEymgITeV7G/Yx8Q8vcsHiRQWsTgghhBi+IpEIX/3qVw95fuXKlYc8\nd80113DNNdcMxrAk1Iqhp3+nsIFAazXLE+dS7+a3u3WKawj8LkznVoJUJzbTjR5XS6ynnvMm+cRO\nmkd7x17+vCNDJtVLLt2LM+N8AHLhUup2t3BBwaoTQggh/oph0Kd2qJJQK4aU/jW0Jrl/pzA8lgXj\naTBR+ptumd496LKxGO1AXzOxknJuOWskl1/0QcpKSwfOlctlaWlt4+Pf+BWtKr98PJZp4ZRpMwe7\nLCGEEEIcYxJqxZCRaWpiy5fuJxz4wP6tb1Pl1CeqMC2rUW4EpRyC7kbo3QHaw6k5m/dM6OHmD111\nyPk8L8TYMWP4whVz+fffryawcOHpE1gwt3awSxNCCCHenre4SUv8ZRJqxZCQaWpi60MPHAi0uCxP\nnENjSTmm6Q/oRBW6dDJKKawNsI5BKcuU9Co++7Elf/XcC087hYWnyXa3QgghxPFMWnqJgutfQxvy\nc8D+NbTxc6h3ygHQiSpUZMTArl/W5tDxEeDG2Jat5BP3/xOrXn2VP696hVwuR0dHB93dXQWrRwgh\nhBCDT2ZqRUFlmppofHQppPa37cJjWXYc24MI/R27THcTpnkNTsl4TKoFZ/xCyHTgVOWXEawJctzx\n1SdQZdMo/5cfkS6fjkvApbPL+dRNVxeqNCGEEOKdexu7eYnDk1ArCqb/prCBQGsdlkfPpiFWhm1b\nj+8nIUhj+tpQ0TKIxHB6ktCxGRuKE+xdix41G+V4BNk0ds8rtE9djN7fyutHG1s5e916Tp09q5Bl\nCiGEEGIQSKgVBXFolwOXpV0RGsJRtKNAO5hUBxaL9YpQyqJT7YyceirtRScDYFJd2PYtWK8IXVqD\n9XsHAi1ALlTCrr0tnCobhgkhhBDHPVlTKwbdIYHWapalx9Iw+l0Eu18gW/8L/HQrBBl0uBQ3NoKQ\nyXLF/LG0JMEG+bW3OlpCUWY3ZJOocBE200tuw88xfR0ATDQNnH3GaQWrUwghhHjHjB0aj2FIQq0Y\nVJmmJnasWPaGGVqH5dFzaSg9BdOyFuVGAYsyAbpkAt7YM3FHzcNWX8QTr+xGh0dgdr6GTe3DZnq4\neMEMIiqLybSjPBc9ZjakOqlue47lt19GSXFJYQsWQgghxKCQ5Qdi0GSammh49GFUKgXs73IQzXc5\nUADaxbohSO7FoNFRb+C1SmlybhlOvAIdryBX/xTW5PhVzxjiwT7SXhWqas7A1ri7shXUNTQyftzY\nAlQqhBBCHCHpU3vEJNSKQdHftmsg0OKxLDWKxkT5gYOCNLZvH8ZPoQiw2W6stSilMLlQeFI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Ph4gvZVOCPmAZbizGrOf9cSJjfu5OlXf02bPxZrDadUdfPQ5z+J53kFqlYIIYQ4TgzTm7SGAgm1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\n/gOMXEfceJVA6AAAAABJRU5ErkJggg==\n", 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RCxcuxGq18thjjzFx4sTuWpaIiEi3a2tzsL90J5WVJ3nthU3kl9aDsyPQmqLsHBs2iKJJ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AVwIpVMHdlMXTpAx8cTtK/EGTEPsBRnVnHuu5YwuXEHT7/6G9r8sVhrOKmqmwc+/yk8zytQtUII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\nHdp0Y20SjIOylkRR0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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1467,7 +1562,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 31, "metadata": { "collapsed": true }, @@ -1506,7 +1601,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 32, "metadata": { "collapsed": false }, @@ -1514,19 +1609,19 @@ { "data": { "text/plain": [ - "(,\n", - " )" + "(,\n", + " )" ] }, - "execution_count": 48, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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b+fyrFbxz4BDtWeOxNVSxb9Fyrq+sI62xxX1cySX92d/Tnz2vfMLgUf05frSa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\nS5bg7u6Oq6sriYmJADx58oSur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GjuNE32jqW+wU5xdhtpjJvGY88Y1HaXE4PFW6dBKGYerwh7fTZwsiIiLn4P2Vy1ltOKmr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\nMAz6XxUhhBBCDAKD+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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1539,7 +1634,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 33, "metadata": { "collapsed": false }, @@ -1547,19 +1642,19 @@ { "data": { "text/plain": [ - "(,\n", - " )" + "(,\n", + " )" ] }, - "execution_count": 49, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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OGAZ9+1oMRgNZwzJodzrJGzeMDZ/swQCcbPeRUTiEpkNNwZuIiASEAquIiARV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mDHh49rgy3fLIUQQpzO3HF4TULSwyoyhtVnem1+1J6Fk+rAaXoOO7cMs2Q2nikXM7DhLnQ6hV1a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\nRjUAAAAASUVORK5CYII=\n", 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IwJTu3si4iQbSUrOJ37KXqOPt/mOJc0bTPj2bybGp/rEhQ9PYv68iGKWKhI2A7cMaHR1N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\n//qv+da3vjVOlf9xZ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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1572,7 +1667,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 34, "metadata": { "collapsed": false }, @@ -1580,19 +1675,19 @@ { "data": { "text/plain": [ - "(,\n", - " )" + "(,\n", + " )" ] }, - "execution_count": 50, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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w65Tr2LBlH9Dj7JSD6B0Mi6gNHFsYlsbyOhu9Yqw4DBMTpo5lzuxFtGufRrv2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\nAAAASUVORK5CYII=\n", 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KSorWtQoRulahRder+Tl8+ABWSyVRBYVEnxNoS9PjiR54FTlts4iLi+f0aSfp6d1IT+9W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BBDBpWwq2wBH26pwmPClWeNJS8vv+sLFUIIIYTYT0JtL9NRoP1HbYLf7gtg6AqUhk4Md1oWFGRj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\nOOcchpYcmem6hBBCC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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1875,21 +1970,21 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 2", + "display_name": "Python 3", "language": "python", - "name": "python2" + "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 2 + "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.10" + "pygments_lexer": "ipython3", + "version": "3.4.3" } }, "nbformat": 4, diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 525a71dc87..be101bd279 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -20,9 +20,10 @@ class ForecastModel(object): Parameters ---------- + calcWind: bool + Indicates whether wind is calculated using components. labels: dictionary - Dictionary where the common variable name references the model - specific variable name. + Common variable name to pecific variable name references. model_type: string UNIDATA category in which the model is located. model_name: string @@ -86,9 +87,12 @@ class ForecastModel(object): base_tds_url = catalog_url.split('/thredds/')[0] data_format = 'netcdf' vert_level = 100000 + sp0 = 1367 #W m^-2 columns = np.array(['temperature', 'temperature_iso', 'wind_speed', + 'wind_speed_gust', + 'pressure', 'total_clouds', 'low_clouds', 'mid_clouds', @@ -98,11 +102,15 @@ class ForecastModel(object): 'downward_shortwave_radflux', 'downward_shortwave_radflux_avg',]) - def __init__(self,model_type,model_name,labels): + def __init__(self,model_type,model_name,labels,calcWind=False): self.model_name = model_name self.model_type = model_type + self.calcWind = calcWind self.variables = list(labels.keys()) self.modelvariables = list(labels.values()) + if self.calcWind: + self.modelvariables.append('u-component_of_wind_isobaric') + self.modelvariables.append('v-component_of_wind_isobaric') self.data_labels = labels self.catalog = TDSCatalog(self.catalog_url) self.fm_models = TDSCatalog(self.catalog.catalog_refs[self.model_type].href) @@ -143,7 +151,7 @@ def set_query_latlon(self): if len(self.latlon)>2: self.query.lonlat_box(self.latlon[0],self.latlon[1],self.latlon[2],self.latlon[3]) else: - self.query.lonlat_point(self.latlon[0],self.latlon[1]) + self.query.lonlat_point(self.latlon[1],self.latlon[0]) def set_query_time(self): """ @@ -152,12 +160,12 @@ def set_query_time(self): as: single or range """ - if len(self.timespan)>1: - self.query.time_range(self.timespan[0],self.timespan[1]) + if len(self.time) == 1: + self.query.time_range(pd.to_datetime(self.time)) else: - self.query.time_range(self.timespan) + self.query.time_range(pd.to_datetime(self.time)[0],pd.to_datetime(self.time)[-1]) - def get_query_data(self,latlon,timespan,vert_level=None,variables=None): + def get_query_data(self,latlon,time,vert_level=None,variables=None): """ Submits a query to the UNIDATA servers using siphon NCSS and converts the netcdf data to a pandas DataFrame. @@ -167,7 +175,7 @@ def get_query_data(self,latlon,timespan,vert_level=None,variables=None): latlon: list Latitude and longitude of query location. - timespan: datetime + time: pd.datetimeindex Time range of interest. vert_level: float or integer Vertical altitude of interest. @@ -181,22 +189,37 @@ def get_query_data(self,latlon,timespan,vert_level=None,variables=None): if vert_level != None: self.vert_level = vert_level if variables != None: - self.modelvariables = variables + [self.modelvariables.append(var) for var in variables] self.latlon = latlon self.set_query_latlon() - self.timespan = timespan + self.time = time self.set_query_time() self.query.vertical_level(self.vert_level) self.query.variables(*self.modelvariables) - self.query.accept(self.data_format) netcdf_data = self.ncss.get_data(self.query) - self.set_time(netcdf_data.variables['time']) + self.set_time(netcdf_data.variables['time'],self.time.tzinfo) self.data = self.netcdf2pandas(netcdf_data) self.set_variable_units(netcdf_data) self.set_variable_stdnames(netcdf_data) + self.convert_temperature() + + if self.calcWind: + windData = np.sqrt(netcdf_data['u-component_of_wind_isobaric'][:].squeeze()**2+ + netcdf_data['v-component_of_wind_isobaric'][:].squeeze()**2) + self.data['wind_speed'] = pd.Series(windData,index=self.time) + self.var_units['wind_speed'] = 'm/s' + + if variables != None: + data_dict = {} + for var in variables: + data_dict[var] = pd.Series(netcdf_data[var][:].squeeze(),index=self.time) + dataframe = pd.DataFrame(data_dict,columns=variables,index=self.time) + return dataframe + netcdf_data.close() + return self.data def netcdf2pandas(self,data): @@ -214,24 +237,26 @@ def netcdf2pandas(self,data): """ data_dict = {} for var in self.variables: - data_dict[var] = pd.Series(data[self.data_labels[var]][:].squeeze()) - dataframe = pd.DataFrame(data_dict,columns=self.columns) + data_dict[var] = pd.Series(data[self.data_labels[var]][:].squeeze(),index=self.time) + dataframe = pd.DataFrame(data_dict,columns=self.columns,index=self.time) return dataframe - def set_time(self,times): + def set_time(self,times,tzinfo): """ - Converts time data into a netcdf date format. + Converts time data into a pandas date object. Parameters ========== times: netcdf Contains time information. + tzinfo: tzinfo + Timezone information. Returns ======= - netCDF4.datetime + pandas.DatetimeIndex """ - self.time = num2date(times[:].squeeze(), times.units) + self.time = pd.DatetimeIndex(num2date(times[:].squeeze(), times.units), tz=tzinfo) def set_variable_units(self,data): """ @@ -264,6 +289,111 @@ def set_variable_stdnames(self,data): except AttributeError: self.var_stdnames[var] = var + def addRadiation(self,zenith): + """ + Calculates shortwave radiation values. + + Parameters + ========== + zenith: pd.daraSeries + Solar zenith angle. + + """ + self.zenith = np.array(zenith) + self.data['dni'] = self.direct_radiation() + self.data['dhi'] = self.diffuse_radiation() + self.data['ghi'] = self.diffuse_global_radiation() + for var in ['dni','dhi','ghi']: + self.var_units[var] = '$W m^{-2}$' + + def transmittance(self,cloud_type='total_clouds'): + """ + Calculates factor for determining incoming fraction of shortwave radiation. + + Parameters + ========== + cloud_type: string + Cloud type used for calculating clear-sky coverage. + + Returns + ======= + value: float + Transmittance factor for calculating shortwave radiation + """ + tao = (self.data[cloud_type]/100.0)*0.35+0.40 + if np.all(self.zenith < 80) and False: + m = self.data['pressure']/(101.3*np.cos(np.radians(self.zenith))) + else: + m = 1.0/(np.cos(np.radians(self.zenith))+0.50572*(96.07995-self.zenith)**-1.6364) + + return tao**m + + def direct_radiation(self): + """ + Calculates direct shortwave radiation + + Returns + ======= + value: float + Direct shortwave radiation. + """ + return self.sp0*self.transmittance() + + def diffuse_radiation(self): + """ + Calculates Diffuse shortwave radiation + + Returns + ======= + value: float + Diffuse shortwave radiation. + """ + return 0.3*(1.0-self.transmittance())*self.sp0*np.cos(np.radians(self.zenith)) + + def diffuse_global_radiation(self): + """ + Calculates total global diffuse shortwave radiation + + Returns + ======= + value: float + Total diffuse shortwave radiation. + """ + return self.diffuse_radiation() + self.direct_radiation()*np.cos(np.radians(self.zenith)) + + def cloudy_day_check(self): + """ + Determines if the sky is overcast. + + Returns + ======= + logical: bool + If the sky is overcast. + """ + sb = self.direct_radiation()*np.cos(np.radians(self.zenith)) + + return sb < 10 #w m**-2 + + def cloudy_day_global_radiation(self,zenith): + """ + Calculates more accurate total shortwave radiation for ovecast days. + + Returns + ======= + logical: bool + If the sky is overcast. + """ + pass + + def convert_temperature(self): + """ + Converts Kelvin to celsius. + + """ + for atemp in ['temperature','temperature_iso']: + self.data[atemp] -= 273.15 + self.var_units[atemp] = 'C' + class GFS(ForecastModel): ''' @@ -292,16 +422,19 @@ def __init__(self,res='Half'): model_type = 'Forecast Model Data' model = 'GFS '+res+' Degree Forecast' variables = ['Temperature_isobaric', + 'Wind_speed_gust_surface', + 'Pressure_surface', 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud'] + 'Total_cloud_cover_convective_cloud', + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'] cols = super(GFS, self).columns - idx = [1,3,4,5,6,7,8] + idx = [1,3,4,5,6,7,8,9,10] data_labels = dict(zip(cols[idx],variables)) - super(GFS, self).__init__(model_type,model,data_labels) + super(GFS, self).__init__(model_type,model,data_labels,calcWind=True) class GSD(ForecastModel): @@ -335,13 +468,15 @@ def __init__(self): model = 'GSD HRRR CONUS 3km surface' description = '' variables = ['Temperature_surface', + 'Wind_speed_gust_surface', + 'Pressure_surface', 'Total_cloud_cover_entire_atmosphere', 'Low_cloud_cover_UnknownLevelType-214', 'Medium_cloud_cover_UnknownLevelType-224', 'High_cloud_cover_UnknownLevelType-234', - 'Downward_short-wave_radiation_flux_surface'] + 'Downward_short-wave_radiation_flux_surface',] cols = super(GSD, self).columns - idx = [0,3,4,5,6,9] + idx = [0,3,4,5,6,7,8,11] data_labels = dict(zip(cols[idx],variables)) super(GSD, self).__init__(model_type,model,data_labels) @@ -379,14 +514,16 @@ def __init__(self): description = '' variables = ['Temperature_surface', 'Temperature_isobaric', + 'Wind_speed_gust_surface', + 'Pressure_surface', 'Total_cloud_cover_entire_atmosphere_single_layer', 'Low_cloud_cover_low_cloud', 'Medium_cloud_cover_middle_cloud', 'High_cloud_cover_high_cloud', 'Downward_Short-Wave_Radiation_Flux_surface', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'] + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',] cols = super(NAM, self).columns - idx = [0,1,3,4,5,6,9,10] + idx = [0,1,3,4,5,6,7,8,11,12] data_labels = dict(zip(cols[idx],variables)) super(NAM, self).__init__(model_type,model,data_labels) @@ -419,14 +556,18 @@ def __init__(self): model_type = 'Forecast Model Data' model = 'NCEP HRRR CONUS 2.5km' description = '' - variables = ['Total_cloud_cover_entire_atmosphere', + variables = ['Temperature_height_above_ground', + 'Temperature_isobaric', + 'Wind_speed_gust_surface', + 'Pressure_surface', + 'Total_cloud_cover_entire_atmosphere', 'Low_cloud_cover_low_cloud', 'Medium_cloud_cover_middle_cloud', 'High_cloud_cover_high_cloud',] cols = super(NCEP, self).columns - idx = [3,4,5,6] + idx = [0,1,3,4,5,6,7,8] data_labels = dict(zip(cols[idx],variables)) - super(NCEP, self).__init__(model_type,model,data_labels) + super(NCEP, self).__init__(model_type,model,data_labels,calcWind=True) class NDFD(ForecastModel): @@ -459,11 +600,12 @@ def __init__(self): description = '' variables = ['Temperature_surface', 'Wind_speed_surface', - 'Total_cloud_cover_surface'] + 'Wind_speed_gust_surface', + 'Total_cloud_cover_surface',] cols = super(NDFD, self).columns - idx = [0,2,3] + idx = [0,2,3,5] data_labels = dict(zip(cols[idx],variables)) - super(NDFD, self).__init__(model_type,model,data_labels) + super(NDFD, self).__init__(model_type,model,data_labels,calcWind=False) class RAP(ForecastModel): @@ -495,11 +637,13 @@ def __init__(self): model = 'Rapid Refresh CONUS 20km' description = '' variables = ['Temperature_surface', + 'Wind_speed_gust_surface', + 'Pressure_surface', 'Total_cloud_cover_entire_atmosphere_single_layer', 'Low_cloud_cover_low_cloud', 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud'] + 'High_cloud_cover_high_cloud',] cols = super(RAP, self).columns - idx = [0,3,4,5,6] + idx = [0,3,4,5,6,7,8] data_labels = dict(zip(cols[idx],variables)) - super(RAP, self).__init__(model_type,model,data_labels) + super(RAP, self).__init__(model_type,model,data_labels,calcWind=True) From 99883de0efc729e02e3074a124985468edb40b77 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Fri, 20 Nov 2015 19:21:30 -0700 Subject: [PATCH 18/88] Updated test_forecast.py and forecast.py --- docs/tutorials/notebooks/forecast.ipynb | 410 ++++++++++++++---------- pvlib/forecast.py | 103 +++--- pvlib/test/test_forecast.py | 55 +++- 3 files changed, 344 insertions(+), 224 deletions(-) diff --git a/docs/tutorials/notebooks/forecast.ipynb b/docs/tutorials/notebooks/forecast.ipynb index 68e75461b2..4894e61032 100644 --- a/docs/tutorials/notebooks/forecast.ipynb +++ b/docs/tutorials/notebooks/forecast.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 68, "metadata": { "collapsed": false }, @@ -33,27 +33,30 @@ "from siphon.catalog import TDSCatalog\n", "from siphon.ncss import NCSS\n", "\n", + "import pvlib\n", "from pvlib.forecast import *" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 69, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "start = datetime.utcnow() # today's date\n", - "end = start + timedelta(days=7) # 7 days from today\n", - "timerange = [start, end]\n", + "# Choose a location and time.\n", + "location = [32.2,-110.9] # Tucson, AZ\n", + "tz = 'US/Arizona'\n", "\n", - "coordinates = [-110.9, 32.2] # Tucson, AZ" + "start = datetime.now() # today's date\n", + "end = start + timedelta(days=7) # 7 days from today\n", + "timerange = pd.date_range(start, end, tz=tz)" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 70, "metadata": { "collapsed": false }, @@ -64,18 +67,18 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 71, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(coordinates,timerange)" + "data = fm.get_query_data(location,timerange)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 72, "metadata": { "collapsed": true }, @@ -86,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 73, "metadata": { "collapsed": false }, @@ -97,26 +100,27 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 74, "metadata": { - "collapsed": false + "collapsed": false, + "scrolled": false }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Qcs65lNx+KwUr/0Fgy+b9DlDtaTrtvhk2bBimaVodM7GPCwsLuffee7O2QOl5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hgQKr/r/dBZYVbDC5CotfLSE9RpNCXSz5e0MySfrkUwAokSqLEDCSsLiI61NC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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -132,29 +136,29 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 75, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "var_name = 'total_clouds'" + "cloud_vars = ['total_clouds','low_clouds','mid_clouds','high_clouds']" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 76, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "total_cloud_cover = data[var_name]" + "total_cloud_cover = data['total_clouds']" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 77, "metadata": { "collapsed": false }, @@ -162,18 +166,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 27, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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cLsnkSEkmdredUEsIoZZQrJYQ38+hlhBCzMEYDZosIiINW70FnkGDBjFgwAAA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1GttmVXakD8QTaaK291orr9n+mh3HcXh2wTJibjmfVu2Fo7AjIp1Q2BERKUEt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QnVIWKJmtNND+d3kR49IOpC+uXp9bg6nPP5fM/n+x4bvM77c77fJUuWAJCdnU1hYSHr1q0LOp7P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\nIiIh6X/Yb5NtUvPSUAAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -185,14 +189,14 @@ "ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name])\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.set_title('GFS 0.5 deg')\n", - "for varname in fm.variables[1:]:\n", + "for varname in cloud_vars:\n", " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", "ax.legend(bbox_to_anchor=(1.4,1.1)) " ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 78, "metadata": { "collapsed": false }, @@ -200,18 +204,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 26, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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R19hzFNPaUoyeUvQp4BIRERHZldHeBmhLcWcKuERERMQ9dlsIN4rmleESERER2ZUrRfMN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\n", 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EFbPcUmZkuSpmUloDW8pUj5mIiASAVxUzLWWKV9xzMvt4gDloKVNERIIiWzEr5Rwz0FKm\neGcgS5lUaylTREQCIF8xqy7pddKjC45lcpySXkvK2+CWMlUxExERH7mJWYkrZk59A+naOqyODqzm\n5pJeS8pYOo29LpeY9b/5n86O0HxwUGImImIgr8ZlQOFh5uozk9KwmpuxenpI1zfAkCF9/8ZIBGfI\nECzHgdwxZYZTYiYiYiCvmv9BQ2al9PL9ZX1fxswJ23KmEjMREQO54zI8SMxUMZNSG1Djf1bYZpkp\nMRMRMZCnFbPsyAztzJRScfvLhqtipsRMRMREHo3LgIKdmVrKlBIZXMUsXENmlZiJiBjIq3EZoFlm\nUnrFWcpUxUxERHySP5Kp9BWzlKb/S4lFBjDDLEcVMxER8Z2XFTOnqQmnogJ740Zoayv59aT8FKVi\n1q7ETEREfJKfY1b6ihm2TWrkKCB7AoBIkQ0mMUPN/yIi4rfcso0XFTPQYeZSQo5TMPVfS5lKzERE\nDORpxQwNmZXSsVo3Y3V24lRV4dTU9vv73Q8nqpiJiIgv0un8so0Hc8ygcMisEjMpLvfw8uEjwLL6\n/f1hq5hFvbxYMplk5syZrFy5kkgkwtVXX00kEmHmzJnYts3EiROZPXs21gD+YUREykZXFwDOkCFg\ne/P5Oj8yQ0uZUlyD6i8DnOoaIDw9Zp4mZv/3f/9HKpVi/vz5LFmyhNtuu42enh4uvPBCJk2axOzZ\ns1m0aBHHHHOMl2GJiBjFy6n/OenR2R4zLWVKkeUSs9RAEzM1/w/c+PHjSaVSOI5Da2srsViM119/\nnUmTJgEwdepUlixZ4mVIIiLGyc8w8y4x05BZKRV3KXPXQSZmIRmX4WnFrKqqipUrVzJjxgxaWlq4\n8847ef7557f489bWVi9DEhExji8Vs912x7HtTHUjkYB43LNrS7i5S5nDB5qYhWvyv6eJ2dy5c5ky\nZQoXXHABa9as4etf/zo9PT3un7e3t1NXV7fT52hsrCIajZQ61JJqaur/rhPZku7h4OkeDp5v93BZ\npg83WlvjbQwjR8KKFTR1tcDICUV5Sr0Oi8Po+7jpIwBqJo6jZiB/j913AaCip3tQ9yEo99DTxKy+\nvp5oNHPJuro6enp62HfffVm6dCmTJ09m8eLFHHbYYTt9jo0bzc6Im5pqWb9eVcHB0D0cPN3DwfPz\nHsZWrqcBSMSHsMnDGBp2H0VsxQpaXnmTZN3wQT+fXofFYfp9rF/+IXGgpbKe5AD+HtGERSOQbNlM\nywDvQynvYX8TPk8TszPOOIMf/OAHnHbaaSSTSS666CI+/vGPc/nll5NMJpkwYQIzZszwMiQREePk\neszwaIZZTmrUaGLPPas+MymqQe/KDFnzv+c9Zj/60Y+2+fq8efO8DENExGwenpNZKOXuzNTIDCke\nexAHmANQnWv+D8c5rhowKyJiGLf53+OKmYbMStF1dmJv3oQTj+M0Dh3QU4St+V+JmYiIYSyfK2Za\nypRiye/IHNjUfyjYnazETERE/OD1OZk57pDZ5VrKlOKw1+T6ywa4jElhxawdHKcocflJiZmIiGFy\nZwI61d7NMQNIjRwFgL3qQ0ilPL22hJO9bnAzzACIRnHicSzHcY8rM5kSMxERw+QrZt4mZlRWkt6l\nCaunx12CEhmMyNrBV8wAnOrw9JkpMRMRMUyuYoaHk/9zUqOzRzPpzEwpgvyOzEFUzNhqOdNwSsxE\nREzjV8UMSI/K9pl9qD4zGbzBzjDLCdMsMyVmIiKGcXvM/KiY6TBzKSK7WEuZqpiJiIhffOsxI7+U\nGdFSphRB8ZYyVTETERGf5OeYaSlTzObuyixaYqaKmYiIeCw/+V9LmWKwRAL7o49wbJv0Lk2De64Q\nTf9XYiYiYhh3KdOPitnogmOZQjDMU/xjr18HkEnKIpFBPZdbMWtXxUxERDyWH5fh7eR/AKe+gXRt\nHVZHB1Zzs+fXl/Ao1o5MKDyWSYmZiIh4zcfmfyg8zFx9ZjJw+cb/we3IhHAdZK7ETETEMH42/4OG\nzEpxlKJipuZ/ERHxnNXpX/M/qGImxVGsGWZQUDFrV8VMRES8lEhg9fTgRKMQj/sSQrppOADWRvWY\nycDZ67JLmYM5wDxLZ2WKiIgv/K6WQbj6ecQ/WsrcPiVmIiIG8bu/DMCprNwiFpGBUPP/9ikxExEx\nSK5iRqX3ozJywjQzSvyjitn2KTETETFJe65iVu1bCGGqTohPUqn8gNnhqpgVUmImImKQ/AHmAaiY\nheBNUPxhffQRVipFurERKioG/4TV4XlNKjETETFIbqkmGBUz85eNxB/FXMYETf4XERGf5M/J9K9i\nFqbqhPgjsi6bmBVhVAZoKVNERHySr5j5OS4jPI3W4o9i7siEcG1IUWImImIQy+dzMqFgGTUE1Qnx\nR/GXMguW1x2nKM/pFyVmIiIGCVbFTImZDEwxj2MCIBbDicWw0mno7i7Oc/pEiZmIiEmyFTMCUDEL\nQ3VC/JFfyixOxQzCsylFiZmIiEGCUDHbojqRSPgXhxir2EuZEJ7zMpWYiYgYxOrwv8cMwlOdEH+4\nB5gXaymT8CyxKzETETFIEM7KLLy+6W+C4gPHcStmqSKNy4DwfFhQYiYiYpDcWZl+Tv4HJWYycNam\nFqzubtLVNVBTU7TnDctrUomZiIhB8hUz/yb/Q34p1fTqhHiv2DPMXCGZr6fETETEILmKGX5O/oeC\nN0GzqxPivVI0/kN45uspMRMRMUhgKmYhqU6I94o+wyxLS5kiIuI9d/K/3z1m4ahOiPdKMcMMwnMs\nkxIzERGD5OeYBaRiZviboHjPrZgVcUcmFOzKNPw1qcRMRMQgVsAqZqYvG4n37HWlXspUYiYiIh4J\nXMVMiZn0k72mtM3/pr8mlZiJiBgkOBWzcFQnxHul25UZjg8LSsxEREyRSmF1dWV+7XtiFo7qhHiv\nVHPM8mdlmv1hQYmZiIgpctWyqiqwLF9Dcaqz1YlOJWbSD21t2O1tOBUVOA2NRX3qsHxYUGImImII\nqzAx81lY3gTFW5Fc4//wEUX/cOF+WFDFTEREvOA2/lf6n5hp8r8MhLuMObzIxzEBhOTDghIzERFD\nBKtilo3B8OqEeKtUjf9Q+JpUYiYiIh7IV8x8PieTwkPMzX4TFG+V6jgmKFxeN/vDghIzERFD5Edl\nBKdipsRM+qNUxzFBeF6T0d4esGLFCp588kmWLVuGZVmMGzeOadOmMXLkSC/iExGRrPxw2SAkZuGo\nToi33IrZrrsV/blDn5itXbuW66+/npUrV3LwwQczduxYotEoK1as4Pzzz2fkyJHMnDmTXXctftYr\nIiLbka2YoYqZGKpUM8yg8KzMNnAc30fKDNQOE7Nbb72V7373u+y5557b/fO33nqLm2++mZtvvrlk\nwYmISF4uCVLFTEyVOyczVeQDzAGIx3GiUayeHkgkoKKi+NfwwA4TsxtuuGGn37jPPvsoKRMR8ZCb\nmKliJoYq5a5MyHxgsDZvwupoxzE0Mdtp8/+CBQt49dVX3d/fcsstLFiwoORBiYjItoJUMaOyEsey\nsLq7IZXyOxoxQXc39saNOJEIzi67lOQSYfjAsMPEbN68efzmN7+hOnv2FMCUKVP49a9/zf333+9J\ncCIikpc7/igI4zKwLLfXTcuZ0hf2umx/WdNwsEszFCJ/XmYIE7Pf/va3/OIXv2DChAnu1yZPnszd\nd9/N/PnzPQlORETy8hWz6l4e6Y0wVCfEO6VexoRw9D7uMDGzbZva2tptvj506FDsEmW6IiKyY27F\nrCoAFTMKEkQlZtIHpdyR6QrBh4UdZljRaJQNGzZs8/UNGzaQTqdLGpSIiGzLfbMJSsWs2vw3QfGO\nNxUz85fXd5iYnX766XzrW9/i+eefJ5FI0N3dzQsvvMDZZ5/NV77yFS9jFBERcOeYBaLHjHC8CYp3\noq+8BEBq7PiSXSMMVdwdjss46aST6O7u5vvf/z6rV68GYPTo0Zx55pmcfPLJngUoIiIZ+cn/AamY\nVZnfaC0eSaWoeOJRABLHHFuyy7gfFtrN/bCw0yOZvvrVr/LVr36V5uZmbNumoaHBq7hERGQrVmAr\nZkrMZOeif38Be8MGUmPGkvrYviW7Thg+LOxwKXPWrFl88MEHQKbhf+uk7N1332XmzJn9vuBdd93F\nySefzBe+8AUWLFjAsmXLOOWUUzjttNO48sorcRyn388pIlIOgnRWJuQTRC1lSm8qHvszAN3Hzijp\nUUlh+LCww4rZeeedx3XXXce6dev41Kc+xYgRI4hEIqxatYqlS5cyYsQIZs2a1a+LPffcc7z00kvM\nnz+fjo4OfvGLXzBnzhwuvPBCJk2axOzZs1m0aBHHHHPMoP9iIiJhk6+YBSQxC0F1QrwRfzyTmCWO\nO6Gk18kvZbaV9DqltMPEbNddd+V//ud/WLZsGU8++SQffPABtm0zevRobr75ZsaMGdPviz3zzDPs\nvffenHPOObS1tfH973+fBx54gEmTJgEwdepUnnnmGSVmIiLbYbUHaPI/av6XvrH/9QHRt94kXVtH\n8rAjSnqtMHxY2GmPGcDYsWM544wzinKx5uZmVq9ezV133cWKFSs4++yzt1i6rKqqorW1tSjXEhEJ\nm9wcMwKSmBGCN0EpvYpctWz6MRCPl/RaoV7KLIXGxkYmTJhANBpl/PjxVFRUsG7dOvfP29vbqaur\n6+U5qohGI6UOtaSamrYd3Cv9o3s4eLqHg+f5PcwmZsPGjIC6APz7NTUCUE0P1QO8F3odFkeg7+Nf\nHgdgyJe/wJBSx7nrMAAq0wkq+3mtoNxDTxOzgw8+mHvvvZdvfOMbrF27lq6uLg499FCWLl3K5MmT\nWbx4MYcddthOn2PjRnOzYMj8w69fr6rgYOgeDp7u4eB5fg8dh106OrCA9e0p6Pb/36/SiVADdGzY\nSPsA7oVeh8UR5PtobWph2OLFEInw0aQjcUocZzwdoR7obt7E5n5cq5T3sL8JX6+J2axZs7j++usH\nHFCho48+mueff54vfelLpNNpZs+ezciRI7n88stJJpNMmDCBGTNmFOVaIiKh0t2NlU7jxOMQ9fQz\n9Q6FoZ9HSiv+l4VYPT0kDj8Sp3Fo6S8Ygr7HXv/vfvvtt2lra6OmpqYoF/ze9763zdfmzZtXlOcW\nEQkr95zMgOzIBDX/S+/ij3mzGzMnDB8Wek3MbNtm2rRpbk8YgGVZ3HvvvSUPTkREMnJvNEHZkQnh\neBOUEkomiS96AoDEcd6shrn/fxj8muw1MctVuCzLcndQWiUcDiciItsK2tR/KKyYdfociQRR7Lln\nsTe10DNxL1J77OnJNfMfFsyt4u5w8n/OIYccQiQS4f333+fAAw/Etm0mT57sRWwiIpIVtHMyIRxv\nglI67jLmscd7ds0wjMvoNTGbO3cut99+O3PnzqWjo4PLL7+cn//8517EJiIiObmqVCArZua+CUqJ\nOA4Vj/0JgG6P+ssgHK/JXhOzhx56iHvuuYfKykoaGxtZsGABv/vd77yITUREsoJ2Tiao+V92LPLu\nO0T+9QHpoUPpmeTdKlsYqri9JmaRSIR4waTeIUOGEA3IVm0RkXIRtHMyAahW879sX/zRTLUsccxx\nEPFwKHw8jhOJYCWTkEh4d90i6jXDmjRpEnPmzKGjo4OFCxfym9/8hkMOOcSL2EREJMsdlxGkillu\nWVWJmWwldwyTl8uYAFgWTlU1VutmrI72zNw/w/RaMbvkkksYO3Ys++yzDw8//DBHHXUUM2fO9CI2\nERHJCva4jHYoOPdYypu1YQPR55/DicdJTpvu+fVN7zPrtWJ23XXXceKJJ3LKKad4EY+IiGxHECtm\nRKM48ThWIgFdXYHamCD+iS98DMtxSBwxBafG+/MnTU/Meq2YjRs3juuuu47jjz+en/70p3z44Yde\nxCUiIgXcN5kg9Zhh/pugFF9FdkxGt4djMgo51ZmTikzdANBrYnb66afz61//mp///OdUVFRwzjnn\nqHomIuK1XPN/kCpmhGMXnBRRVxfxJxcBkDjOn8QMwz8s9JqYAbS2trJkyRKeeeYZ0uk0Rx55ZKnj\nEhGRAu64jIAtF6piJoViS57G6mgn+Yn9SY8a7UsM+WOZzPyw0GuP2dlnn83rr7/Osccey3nnnccB\nBxzgRVzydLAVAAAgAElEQVQiIlIgkOMyUMVMtlSRG5NxrDdnY26P+5psN/PDQq+J2Ze//GXuuOMO\nzS4TEfGR1R68AbOgipkUcBzijz8KQGKGx2MyCsMwfPBxr0uZBx54IBdddBGHHHIIBx98MP/1X//F\nhg0bvIhNRESygloxc/t5OpWYlbvoP14lsmolqRG70rP/gb7Fka/imvma7DUxu+KKK9h///1ZtGgR\nTz75JAceeCCXXnqpF7GJiEhWEI9kgoJD1Q19E5Ti2eLQcrtPLewlYXoVt9c7t2LFCs4880xqamqo\nq6vjP//zP1m5cqUXsYmISFauYkbgEjOz3wSleNzE7Dj/+sugDJYybdtm1apV7u9XrlxJLBYraVAi\nIrKVAE7+h4I3wXYz3wSlOOzVq4i98hJOZSWJKUf7Gku++d/M12SvHf3nnXceJ598Mvvvvz8AL7/8\nMldffXXJAxMRkTx38n/AesxM7+eR4nCb/o+a7vsJEE612RWzXhOzadOmccABB/DKK6/gOA4//OEP\nGTZsmBexiYhIVhDPyoT8XDVT3wSlOOKP55YxfRoqW8D0Dwu9LmX+7W9/45xzzmHatGmMHTuWL3/5\ny7z44otexCYiIln5ilnQBsya/SYoRdDeTnzxUziWRfdn/O0vA8I/+X/OnDlcddVVAEyYMIG7776b\na6+9tuSBiYhIXr5iVu1zJFtS87/EFz+F1d1Nz0EH4wwf7nc4ONVmDz3uNTFLJBLstdde7u8nTJhA\nKpUqaVAiIlKgpwcrkcCxLKio8DuaLZj+JiiDF38qezamT4eWb830ES699piNHz+em266iRNPPBHH\ncfjTn/7EuHHjPAhNRESgYBmzqhosy+dotqSKmdhr1gDQs+devTzSG6a/JnutmF177bV0dHRw0UUX\nMXPmTDo6Orjmmmu8iE1ERAA6sjPMAtZfBhT086hiVq6sjc0AOI2NPkeSYfr5rb1WzBoaGpg9e7YX\nsYiIyHbkp/4Hq78M1PwvYGcTs3TjUJ8jyQh9xUxERPzlnpNZFbyKmTu+w9A3QRk8uzlbMRsatMTM\nzIqZEjMRkYAL6jmZYP6ykQyS47hLmcGpmJldxVViJmKQ+KLHqbrlBnAcv0MRD7kVs4BN/YeC6kTu\nLE8pK1ZbK1ZPT+Z1MGSI3+FkVFTg2DZWIgHJpN/R9NsOe8z22WefLR8YjWLbNolEgpqaGl544YWS\nByciW6qZeTGRZf+i+7Mnkdprb7/DEY8Edeo/mL9sJINjNQerWgaAZeFUVWeSxo52nPoGvyPqlx0m\nZm+99RYAV1xxBQcffDCf/exnsSyLxx9/nMWLF3sWoIhkdXRgL18G5H8YSnkI6jmZYP6ykQxO0Br/\nc5yqKmhrxeroMC4x63Up89VXX+XEE0/Etm0sy+K4447jtdde8yI2ESkQff9drOwSpr25xedoxEtu\n0hPAitkWy0Y9PX5HIx7LfUh0ApaYmTzGpdfErLKykgULFtDR0UFbWxv3338/jQGZVSJSTiLvvO3+\n2tq0ycdIxHMBPScTcJeNwMw3QRkct2IWkB2ZOSZXcntNzG666SaeeOIJjjjiCKZOncqzzz7LjTfe\n6EVsIlIg8m5BYrZ5s4+RiNes9mCek+nKJowmvgnK4ARtuGxO7qgw2s17TfY6YHbUqFHcddddXsQi\nIjsRfecd99f2ZlXMyokV5IoZ2gBQzuyNG4EgVszMfU32mphNnz59m69ZlsWiRYtKEpCIbF/kvXxi\npopZeckPmA1mxcyNy8DqhAxOvmIWtMTM3KXMXhOze++91/11T08PCxcupLu7u6RBichWenqIvP+e\n+1tLFbOy4g6YDXzFzLw3QRmc3NT/dEPAljINrpj12mM2atQo979x48Zx1llnqVom4rHIsg+wCgYl\nqmJWXtyKWXWwK2YmvgnK4OSa/4NyHFNOqCtmS5cuxbIsABzH4d1331XFTMRjkWx/mROLYSWT2Js0\nLqOcuG8uQa2YVatiVq6CdhxTjslV3F4Tsx//+Mfury3LorGxkTlz5pQ0KBHZUm5HZs/+BxB78QWs\nVlXMykpncCf/g9nLRjI4dnOm+T9wFbNqc1+TvSZm8+bNA6CtrY1UKkV9fX3JgxKRLUXfzVTMkgdP\nyiRmmmNWVtwjmQI4+R/MXjaSwQluxczc12SvPWbLly/nS1/6EtOnT+eYY47hpJNO4oMPPvAiNhHJ\ncitmB08C1GNWbixTKmad5r0JyiAkk9itm3FsO3DHHplcxe01Mbviiis466yzWLp0Kc8//zzf+ta3\nuOKKK7yITUQAHMftMUt+ajKgOWblRhUzCSIrO8PMaWgAu9d0wlu512R7CBOzjRs3MmPGDPf3J5xw\nAi0tajwW8Yq9ZjV2WyvpoUNJjxqNE41idXWBNuGUjfwcs2AmZhjcaC0DF9QDzMHs5v9eE7OKigr+\n8Y9/uL9/7bXXqAzoziCRMMqdkZmauHfmXMK6OkDLmeUkP8csmImZmzAauGwkA2cHdLgsFIyWMfA1\n2Wvz/w9+8APOPfdct+m/paWF2267reSBiUiG21+2194AOHX10NyM3bqJVFOTn6GJR6yOTMWMqmB+\nKNZSZnmymoN5gDmY/ZrsNTE78MADeeyxx/jXv/5FOp1m/PjxxONxL2ITEfI7MlMT9wIgXVdPBLQz\ns1w4Tn5cRsArZiY2WsvA2S3ZHrMgVswMXsrcYWI2a9asnX7j9ddfX/RgRGRbka0SMydbvdZSZpno\n6sJyHJyKCohE/I5mu3IJo4lvgjJwbsUskImZuadR7DAxmzRpEpZl4TiOO/lfRLyX6zHrmZhdyqzN\n9ZipYlYO3B2ZQW38x+zqhAxcUI9jArNfkztMzL7whS8AmcGyDz/8MKeffjpr1qxh/vz5fPvb3/Ys\nQJFyZm1qIbJuLU5VFelRowFIZytmtipmZcEK+DImaCmzXLnDZQN2gDmYXTHrdVfmxRdfzPr16wGo\nqanBcRy+//3vlzwwESmolk2Y6M4JcndlqsesLJhRMTO30VoGzg5087+5FbNeE7OVK1dywQUXAJnE\n7IILLmDZsmUlD0xEtm38h+yuTLSUWS7MqpiZ9yYoA2cFeFwGQ4bgWBZWdzekUn5H0y+9Jma2bfPW\nW2+5v3///feJxWIlDUpEMrZu/IeCipkSs7LgJjtGVMzMWzaSgQvygFksy9jXZa/jMi655BLOPPNM\nRowYAUBzczM33XRTyQMTkW1nmAGks2fSqcesTLgVs2DOMAOgWhWzcpTblRnE5n8g82GmvQ2ro8Pd\nNGWCXhOzww8/nCeffJK3336bWCzG+PHjqaio8CI2kbIXLZz6n6VdmeXFas/1mFX7HMmObTEuI50O\n3rmJUnyOE+yKGQVL7O1tPkfSP70mZgDxeJz99tuv1LGISKGuLuzly3AiEVJ7THC/rDlm5cUyoWIW\nieAMGZI5w7WrK9DLrlIcVnsbVjKZeV0G9LXpfphpN6uSq481IgEVef89rHSa1LjxUHDaRq7HzNau\nzLKQ35UZ3IoZaANAuQnycNmc3HmZpr0mlZiJBFT03W2XMSFzJBOA1aqKWTmwOjPnZDoBPSczx9RG\naxmYIB9gnmPqa1JHMokE1PZ2ZILmmJWb3JtKkOeYgSpm5cbamDknM4gzzHJMfU326UimrQ32iKaP\nPvqIL3zhC8ydOxfbtpk5cya2bTNx4kRmz56tI6BEKNiRuU1iVlAxU6N16OUqZgR4jhlo+n+5CXrj\nP5j7muz1SCaAjRs30tnZieM4pNNpPvzwwwFfMJlMcsUVV1BZWYnjOFx//fVceOGFTJo0idmzZ7No\n0SKOOeaYAT+/SFhE38lWzPbae6s/iJKursFub8NqbzNqG7gMgDEVMzP7eWRg3FEZQU7Mwtpjdsst\nt3DMMcdw/PHHc+qpp/KZz3yGW2+9dcAXvPHGGznllFNoamoC4I033mDSpEkATJ06lSVLlgz4uUVC\nI5Ui8v67mV9uVTEDLWeWE7fHLOgVs+zOPNOqEzIw+YpZ8M7JzDF1KbPXxOyPf/wjTz31FMcffzzz\n5s1j7ty5NA7wH+LBBx9k6NChHHnkkQA4jrPFUmlVVRWtra0Dem6RMLGXL8Pq7ia12+7brYhpZEb5\nMKXHDFXMykqgj2PKCt1SZk5TUxO1tbXstddevPnmmxx33HHceOONA7rYgw8+iGVZLFmyhLfeeouZ\nM2eyMdtACNDe3k5d3c6XZRobq4hGIwO6flA0NdX6HYLxQn8Pn1sBQOTj+27/7zo08+FoqJ2EAd6L\n0N9DD3hyD1NJAOp2HTbgf2tPDM18WKiLpPsVp16HxeH5fezIFFFqxu5OTVD/DZsySWM1PVT3Icag\nvBZ7Tcxqamp4+OGH2XfffbnvvvsYPnz4gKta9913n/vrr33ta/zwhz/kxhtvZOnSpUyePJnFixdz\n2GGH7fQ5Nm40+9NYU1Mt69erKjgY5XAPK194hRqgc+wetG3n71pXVUMFsGn5ahIDuBflcA9Lzat7\nWL9xM3GgJWmRDPC/WY0doxJoXfsRXX2MU6/D4vDjPtavXksc2BStHNDPIC9UOpHMz9ENG7f7c7RQ\nKe9hfxO+Xpcyr7vuOpqbmzn00EMZNWoUs2fP5vzzzx9wgIUsy2LmzJn8+Mc/5uSTTyaVSjFjxoyi\nPLeIyfI7Mvfe7p+rx6x85Cf/B3spU83/5cUyYldmdiizYa/JXitmS5Ys4Zvf/CYAM2fOBOD+++8f\n9IXnzZu33V+LSMEZmVvvyMxyR2aoxyz08gNmg56YmdnPIwNjB/0AcwrPyjTrNbnDxGzu3Lm0tbUx\nf/58Vq5c6X69p6eHP/zhD5x22mmeBChSdhzHHS6744pZJjGzdZB5+OUSHVMm/xt2LqEMjDtg1oCK\nmWkfFna4lDlmzJhtdk0CVFRUcMMNN5Q8MJFyZa1bh72phXR9A87w4dt9TFoVs7KRr5gZclZmbiCu\nhFdPD/bmTTiWhVPf4Hc0O2TqHLMdVsymT5/O9OnTOeGEExg9ejQffPABqVSKiRMnEovFvIxRpKy4\nZ2TuORF2cAqG22OmilnouYeYVwa9YqalzHKRq5Y5DQ0QCe6UBFNfk732mHV0dDBjxgzq6+txHIcN\nGzZwxx13cOCBB3oRn0jZcZcxd9BfBppjVk7c5v/AV8zMrE5I/9ktwV/GBHNfk70mZtdeey233XYb\nBxxwAAAvv/wy11xzDQsWLCh5cCLlKLcjM7WD/jLIV8zsTS2exCQ+SSaxkkmcSAQCvlLhVJtZnZD+\nM+E4Jgjx5P+Ojg43KQM48MAD6e7uLmlQIuUsf0bmtkcx5aQLDzKX0NqiWraDZe3AMLQ6If3nHscU\n4B2ZEMLm/5z6+noWLlzo/v6JJ56goSG4zX4iputthhkUjMvQHLNQM6W/DArGeSgxCz0TjmOCEFbM\nHnroIQCuuuoq7rzzTg455BAmT57MnXfeyQ9/+EPPAhQpJ1brZiKrV+FUVJAeM3aHj1OPWZnIvaEE\nfIYZ5AfgmladkP7LzTAL8gHmAFRW4lgWVlcXpFJ+R9NnO+wx++Uvf8nnP/95xo8fz4IFC2hvb8dx\nHGpqaryMT6Ss5Br/U3vsudPdTunsweaaYxZu+YqZAYmZodUJ6T/bkIoZlgWVVdDRjtXZgVMTjLMw\ne9PrUmZOdXW1kjKREuvLjkwAqqpwotHMJ0H1fIZWvsdMiZkEhwnHMeW4/+8YNPh4hxWz9957j+nT\np2/3zyzLYtGiRSULSqRcRXMVs4k7bvwHwLJw6uqwmpuxNm/GaWryIDrxmlsxMyIxM7PRWvrPhOOY\ncjKvy/VYHe04vT46GHaYmI0dO5af/exn20z+F5HSifRyRmYhp64empuxWzeRUmIWSu7UfwOa/4nH\ncSIRrJ4eSCQgHvc7IikRoypm1eadl7nDxCwWizFy5EgvYxEpe33ZkZmTrqsngnZmhlmu+mRCxQzL\nwqmqxmrdnKlOKDELLdukxMzAJfYd9pgddNBBXsYhIokEkX99gGNZpPaY0OvDtTMz/PIVMwMSM8x8\nE5T+s4xaysz0xpu0xL7DxOyKK67wMg6Rshf55/tYqVRmTEYflq6cWp2XGXbum4kJFTMKDzJXYhZa\njmNWxazavA8Lfd6VKSKl1ecdmVnpbMXMVsUsvAyrmGn6fxno6MBKJHCGDDHiA4OJB5krMRMJiGgf\nzsgslDsvUz1m4WVUjxlmjiaQ/jGpWgZmHmSuxEwkIPqzIxMKjmXSUmZoWR1mVcxMrE5I/xgzXDbL\nxNekEjORgHCXMnubYZblVsyUmIWWSXPMwMzqhPRPrvE/6AeY55j4mlRiJhIE6TTR9/o4XDb3LfUN\ngHrMwsyd/G/CHDPMrE5I/7gVs4aAn5OZY+BOYSVmIgFgf7gCq7OTdNPwPv/A067M8HMrZtXVPkfS\nNyZWJ6R/3IqZYUuZGPRhQYmZSABE3uvfjkzQHLNy4I6dMKZilolTiVl4uRUzLWWWjBIzkQCI5hr/\n+7iMCfkeM1u7MsPL7TEzpWKmpcywM+k4JjDzNanETCQA+jvDDDJHMoGWMsPMqLMyMbM6If1jm9r8\nb9BZmUrMRAIgXzHrx1KmuytTS5lhlZ9jZkbFDAOrE9I/lrHjMsz5sKDETCQAIv3ckQlbzTFLp0sS\nl/hLFTMJGuMGzFbnXpPmfFhQYibiM2vzJuyPPsKprCS92+59/8ZoFKeqGstxsNrbSheg+Ma0ill+\nB5wSs7CyDTrAHMz8sKDETMRn9vLlAKRGjwHL6tf35s7L1LFM4WRuxcyc6oT0j9WyETCoYqalTBHp\nr8iKbGI2Zmy/v1d9ZiGWTruJmTnjMrJvgrm4JVxSKaxNm3AsC6ehwe9o+sTEDwtKzER8FlmxDID0\n6DH9/t5cn5mtnZnhU1gts834UW3iaALpO6ulBctxMjMUIxG/w+kTVcxEpN/s5ZnELDW6/xUzdylT\niVnouMuYhpyTCWb280jfmdb4D7jVZquz05hNUkrMRHwWyfWYjR3EUqZ6zELHbfyvNCkxM686IX2X\nO47JaTTknEwA2zZuU4oSMxGf5XrMBrOUqR6z8DG7YqalzDAysmKGeR8YlJiJ+MlxBrWUqR6z8FLF\nTILGtOGyOaZ9YFBiJuIja1MLdutm0tU1A5oLlFbFLLRMrJiZ2M8jfWfacUw5pn1gUGIm4iN3GXNM\n/2eYQeG4DFXMwsb9dG/IqAwg08+Ti9eQN0HpO9vYilk2MTNkELcSMxEf2ctyy5j97y8DMtvWUcUs\nlNyKmRlT/3NMq05I3+Wa/83rMTNrt7ASMxEfDWa4LOQrZvamlqLFJMFgted6zAyqmGFeP4/0nVsx\nM20ps1qJmYj0ke0Olx1YYub2mLWqYhY2lipmEjCW8bsyzfiwoMRMxEeR5YNcyqzTWZlhlUtszKuY\nmfUmKH1n2gHmOVrKFJE+c5v/BzBcFtRjFmZWZzYxM2lXJua9CUrfmXaAeY5pHxaUmIn4xXGwc1P/\nB1gxS9dme8y0KzN03IqZcYmZDjIPK1MHzGLYhwUlZiI+sZqbsdvbSNfW4dQ3DOxJqqpwolGsri7o\n7i5ugOIr8ytmZlQnpI86OrC6unAqKsC416RZfY9KzER8Esk1/o8ZO6AZZgBYVsEsMy1nhkruTcSg\nyf9g3pug9M0W1bKB/rzySf6sTDM+LCgxE/GJvWJwy5g57rFMrVrODBNTK2YY1s8jfWPkAeZZpvU9\nKjET8UkkN1x2zOASs7R2ZoZSflemWYmZO97DkDdB6Rtj+8tQ87+I9NEWS5mDoJ2Z4eTOMdO4DAkA\nU49jAlXMRKSP8kuZg0zManVeZhjlEhvTljJNexOUvrEMPcAcCs/KNOPDghIzEZ8MdrhsTjpbMbNV\nMQsVqyNXMTMsMctW+JSYhYvZFTOzqrhKzET84Dj54bKD7DFzd2WqxyxUzK2YmVWdkL4x9TgmAKe6\nBjDnw4ISMxEfWBs2YHV2km5ocHdVDpR7LJOWMsMlN6DVuMRMS5lhZIdhKdOQ16QSMxEfRJb/Cxh8\nfxkUVMyUmIWK8ZP/DXkTlL6xjF7KNGvosRIzER/klzEHn5ils6cGqMcsRBwnP8fMtB4zw94EpW/s\njWaekwngVGdfk62tkEr5HE3vlJiJ+GCwZ2QW0q7MEEoksFIpnFgMYjG/o+mfalXMwsitmBm4lEl1\nNakx47C6u4m+8pLf0fRKiZmID3IVs8EOl4WCOWZq/g8NU6tlYN4OOOkbkwfMAiSmfRqA+FN/8TeQ\nPlBiJuKDXI9ZMZYycz1mWsoMD1P7y6Bg8n9u84KYL5XCamkBwGlo8DmYgUkcPR2A+JOLfI6kd0rM\nRHxQrOGyUHAkk5YyQyNfMTNr6j+o+T+MrE0tWI6T+VkTjfodzoAkp0zFiUSIvrAUqzXYH2KVmIl4\nzXGIfLgCKFKPmbsrM9g/bKTv3KQmV30yyBbN/47jczRSDPnhsuYdYJ7j1NXTc/AkrFSK2NOL/Q5n\np5SYiXjMXrcWq6uL9LBhUFMz6OfbYo5ZOj3o55MA6DDznEwAYjGcWAwrlYJEwu9opAhMPo6pUL7P\nLNjLmZ7WJJPJJD/4wQ9YtWoViUSC73znO0yYMIGZM2di2zYTJ05k9uzZWJblZVginrKLdBSTKxrF\nqarG6mjHam9zd2mKufJT/82rmEEmbmtTC1ZHO05Fhd/hyCCZfBxTocTR06m+4drA95l5WjH7wx/+\nwNChQ7n//vv5+c9/zlVXXcWcOXO48MILuf/++3Ech0WLgn3DRAbLnWFWhP6ynLR2ZoaKlW2cd6oM\nrJihPrOwcStmhidmPQceRLqhgciyf2F/8E+/w9khTxOzGTNmcO655wKQTqeJRqO88cYbTJo0CYCp\nU6eyZMkSL0MS8Zx7eHkRdmTmqM8sXNzmfwN3ZYISs7Bxh8savpRJJEJi6jQg2LszPU3MqqqqqK6u\npq2tjfPOO4/zzz+fdEFPTFVVFa2trV6GJOK5/I7MIi1lku8zs7UzMxTccRkGzjGDfNyaZRYOJh/H\ntLWkAfPMPN/3unr1ar773e9y2mmn8e///u/cdNNN7p+1t7dTV7fz/pjGxiqi0UipwyyppqZav0Mw\nntH3cM1KAGr324faYv09dsn8wGywktDH5zT6HgZEye5hJPOBtXJYA5Um/jvVZ2JujNPr61Gvw+Io\n6X3szBRMqsfsTrXp/15f/Bxc8F0qnllMU8OQLU7WCMpr0dPEbMOGDXzzm99k9uzZHHrooQB87GMf\nY+nSpUyePJnFixdz2GGH7fQ5Nm40uzTe1FTL+vWqCg6G6few8b33iQLN9cNJFenvUVtZzRBg8/LV\ndPfhOU2/h0FQyntYta6ZaqCDKO0G/jvVxyqIA5tWrSexk/j1OiyOUt/H2tXrMj9fYlV9+vkSaEMa\naNxrb6LvvE3Lo38heejhQGnvYX8TPk8TszvvvJPW1lZ+8pOf8JOf/ASASy+9lGuvvZZkMsmECROY\nMWOGlyGJeCudzs8wGzW6aE+bH5mhHrNQML7HLLubVD1moWD6cUxbS0z7NNF33ib25EI3MQsSTxOz\nyy67jMsuu2ybr8+bN8/LMER8Y69dg5VMkt6lCYr4pqses3Axvscs1/zfrh6zMLCbDT7AfDuSR0+H\nu35K/Km/0DHrCr/D2YYGzIp4yF6W25FZvMZ/KDyWSRWzMLByA2YNr5hpV2Y4WGGrmB12JE48TvTl\nl7A++sjvcLahxEzEQ5EVxR+VAYXjMlQxCwN3wKyJk/8pqJjpIPNQCNtSJlVVJA85HMtxiD/9lN/R\nbEOJmYiHSjFcFsCpV8UsTPIDZk2d/K9xGaHR2YnV2YkTi0G1ma/H7ckdzxQL4DwzJWYiHir6cUxZ\nuYqZvamlqM8r/sgfyWRqxUxLmWGxRbUsRMclJo6eDmQHzTqOz9FsSYmZiIdyFbNiL2W6PWatqpiF\ngbsEaGrFrFoVs7CwQtb4n5P6+CdINw0nsmY1kbff8jucLSgxE/FQ7jimdNF7zHRWZqi4uzJVMRN/\nha6/LMeytqyaBYgSMxGvpFLYKz/M/LKIM8xAPWZhkz8r08yKGTorMzTCdBzT1hLu8UxKzETKkr16\nFVZPD6kRu8KQIUV97nRttsdMuzJDwTK+YpYd86GlTOPlZpgZf4D5diSOylTMYs8+AwHaQazETMQj\n+R2ZxW38B6CqCicaxerqgu7u4j+/eMoKyeR/VczMZ4e4YuY0NZHc74DMz82//tXvcFxKzEQ8Yi/7\nF1D84bIAWFbBLDMtZ5rO+Mn/2UqfEjPzWRs3AiHsMctKZvvMeOwxfwMpoMRMxCP5HZnjSvL87rFM\nrVrONFoqhdXdjWNZRV/y9kq+YqalTNO5FbMQLmVCvs+Mxx/3N5ACSsxEPFLSpUwKRmZoZ6bRcsuY\nVFYZOzfKUfN/aITtOKatJScdknm9vvYa9prVfocDKDET8UyphsvmaGdmONjr1gKQrqnxOZKBU8Us\nPNzm/5AmZlRUkDhiCgCxp/7iczAZSsxEPFKq4bI5Tq3OywyD+KInAEgeerjPkQycKmbhYYV8KRPy\nfWZBGZuhxEzECz092KtW4lgW6ZGjSnKJdLZiZqtiZrT4Y48CkDh2hs+RDEJlJY5lYXV3QyrldzQy\nCO6A2YZGnyMpncS0YwCI/9+TkE77HI0SMxFP2KtWYqVSpHfdDSoqSnINd1emesyMZW3eRGzJ0zi2\nTeKYY/0OZ+AsK9MjR0HPnJgnncZqyZy/6zSGNzFLTdgTxozB/ugjoq+94nc4SsxEvFCqo5gKuccy\nbdZB5qaK/2UhVk8PyUMOwxk6zO9wBsWdwdauxMxU1qYWrHQ6M8A6FvM7nNKxLDjuOCAYfWZKzEQ8\nYOf6y0rU+A9ojlkIxB/7MwCJY4/3OZLB0wYA84V5uOw2js1UqINwbqYSMxEP5CpmJRkum5WubwDA\n1lKmmXp6iC/KzFJKzAhBYlatDQCms9zjmMK7jOn69KdxbJvY889htbX6GooSMxEP5Jcyx5XsGu6u\nzLJ+KM4AABw/SURBVFZVzEwUW/o37JYWeibsSWrCRL/DGbT8zkxVzExVVhWzxkZ6PnkwVjJJ7Bl/\nj2dSYibiAU+WMus1YNZk8Uf/BEDiuBN8jqQ4dF6m+aywzzDbSu4UAL/HZigxE/FAxMMeM43LMJDj\nEH8sm5jNCEtipqVM09kt2XMyQzzDrFDi6ExiFvO5z0yJmUipJRKZGWa2XbIZZlBwJJMGzBon8t67\nRD/4J+nGRpKfmux3OEWRP8hcS5mmssppKRPoOehg0nX1RP/5vntSix+UmImUmL3yQyzHIb37yJJu\nOdeuTHO5uzGPOQ6iUZ+jKQ4tZZrPPY6pTCpmRKMkDz8CgNgS//rMlJiJlJgXy5hQOMdsUyCmV0vf\nVWSXMbuPM383Zo6a/81nbcwsZZZLxQwgmT03M/7Xxb7FoMRMpMS8GC4LQDSKU1WN5ThY7W2lvZYU\njfXRR0Sffw4nFiOZbT4OBVXMjGc3fwSUT/M/QOKIqUC2YuY4vsSgxEykxOwV2RlmJa6YQf68TO3M\nNEd84WNY6TTJI6a4I0/CQM3/hksmib78EgCpiXv5HIx3Uvt+nHRjI5EPV2Av+5cvMSgxEymxyPLs\nUmapK2aoz8xEFdn+sjAtY0LBkUxayjRS9MUXsFs30zNxL9KjRvsdjndsm+RhRwIQf+Zpf0Lw5aoi\nZcSzpUzyfWa2dmaaobvb3ZofhmOYCrnN/52dPkciA5Gb5ZU4erq/gfggcWSmzyymxEwknLwYLpuT\nditmSsxMEHvmaez2Nnr2/QRpD14fXlLzv9lyiVmo+h77KHl4QWLmQ5+ZEjORUuruJrJmNU4kQnq3\n3Ut+OU3/N0vF49llzBCcjbk1jcswl7WxmehLf8eJx0lkl/XKSWqfj5EeNozI6lVEPnjf8+srMRMp\nociHmWpZeuRoT+ZTObW5kRnqMQs8x8nPLwvZMiYUVMzalZiZJr74KSzHIXnIYVBd7Xc43rPtgqqZ\n9/PMlJiJlJDtNv57s0yVq5ipxyz4Iv94jcjKD0kNH0HPgQf5HU7R5StmWso0jdv3eFT59ZflJA7P\nVApjz3g/z0yJmUgJeTVcNid/LJMqZkGXW8ZMHHc82OH7UaxxGYZyHOJP/QXIH+pdjpJHZueZPeP9\nPLPw/TQQCRAvd2RC4bgMVcyCzj20PITLmKDmf1NF3nmbyKqVpHdpIvXxT/gdjm9Se+1NepcmImvX\nEHn/PU+vrcRMpIS8HC4LBc3/qpgFmr1mNbGXX8KprCQx5Si/wymNajX/m2iLMRkhrOT2mWWRyB7P\nFPP4eKYyvusipZcbLut1xcze1OLJ9WRg4o8/CkBi6tGQG8QaMk5lZeYXSsyMEn+yfOeXbS13bmZs\nibfzzJSYiZRQbinTi6n/UNBj1qqKWZDF3f6yE3yOpHS2aP736cxB6aeuLmLPPgOUd+N/Tq7PLO5x\nn5kSM5FS6ezEXr8OJxYjPWJXTy6Zm/yvOWYB1tFBfPFTAHR/Zoa/sZRSNIoTj2M5DnR1+R2N9EHs\nuWexOjvp+fh+OCNG+B2O71IT9iQ1fAT2+nVE3nnbs+sqMRMpkfjTTwGQ2mMCRCKeXFM9ZsEXX/wU\nVlcXyYMODv2bn3ZmmkW7MbdiWSR9OJ5JiZlIiVT+7E4Auk4+3bNrpmuzPWbalRlY7m7MEC9j5miW\nmVnUX7at5BG55UwlZiJGi7z9FvHFT+JUVdF12te8u3BVFU40itXVBd3d3l1X+iadpiLb+N8d0jEZ\nhVQxM4e9dg3RN/6BU1mZmfgvACSPyA6aXfI0pNOeXFOJmUgJVN6drZZ95RSchkbvLmxZBbPMtJwZ\nNNGXXsRev47U6DGk9v243+GUnFsx61RiFnSx3DLm4UdCRYXP0QRHavwEUrvtjv3RR0TefsuTayox\nEykya2MzQ377awA6zzrb8+vnNgDYrVrODJrc2Zjdxx0PluVzNKWnipk5cv1lSfWXbcmy8mMzPDqe\nSYmZSJENue9erM5OEkdPJ7XX3p5fP62dmYFVEeJDy7dL0//NkE4T/79sxexoJWZbyyVm8b9602em\nxEykmHp6qPzFzwDo/NZ3fAnB3ZmpxCxQIu+/S/TN10nX1JLMHpAcdrmlTA2ZDbbo669hb9hAauQo\nUhP38jucwHFPAHj2r570mSkxEymi+J//SGTlh/RM2JPE9M/4EoOT3ZmpIbPBUj37UgC6P3cSxOM+\nR+MNLWWaIZbbjTnt02WxxN5f6bHjSI0ajb1xI5E3Xi/59ZSYiRRR5d3/D4DOs77t2zlz6WzFzFbF\nLDDij/6JiscfJV1bR/usK/wOxzNuYtaupcwgc+eXaUzG9lmWW+WOe3A8kxIzkSKJvvYK8b8tIV1b\nR/dXT/UtDu3KDJiODmou/T4A7bMuC/1Q2UL5OWaqmAVWWxux557FsW2SU47yO5rASmSPZ4p50Gem\nxEykSCp/lqmWdZ16Ok5NrW9xuMcybdZB5kFQ9aObiaxYTvIT+9N1xll+h+MpR83/gRdf8jRWMknP\nJw/CaRzqdziBlauYxZ59BlKpkl5LiZlIEVjr1lHx0AIcy6LzzG/7GosqZsERee9dqn5yOwBtN9wC\n0ajPEXnLqVSPWdC588u0G3On0mPGkhozFntTC9E3/lHSaykxEymCynt/gZVIkDjueNLjxvsaS7q+\nAVCPme8ch5qZF2Mlk3Se9nV6Jh3id0SeU/N/8OWPYVJi1ht3d2aJlzOVmIkMViLBkLn3AND5n/6M\nyCikXZnBUPH7h4gvfpJ0YyPtl/3Q73B84dRmlvSH3DeX+i+dyJBf/gJr/Xqfo5Ice/kyou+/R7q2\njp6DP+V3OIHnLmeWeNCsEjORQar4/UNE1q2l52P7ksw2iPpJc8z8Z7W1Un35LADaL70SZ9gwnyPy\nR+LTx9J97AywLOKLn6T2e+czbL+J1H/h3xny//0c1qzxO8Sy5k77n3JU2S2zD0Tu53vs2SUl7TNT\nYiYyGI5TMCLj7EDMAMr1mNnqMfNN1U1ziKxZTfKgg+k6/T/8Dsc3zrBhbL7vAT56/T023/5Tuo85\nFiIR4n9dTO0lF8Luu1N/0gkMuecu7LVK0rzmjsnQMUx9kh45itS48ditm4m+9krJrqPETGQQoi8s\nJfbS30k3NtL1xa/4HQ5QcCTTZlXM/BB543Uqf/ZTHNum7YZbfZtnFyRO41C6Tzmdzb9akEnSfnxn\n5rzQWIz4kr9SO+t7DN1/b2r/8wysdev8Drc89PQQW/wUoPll/eFFn5l+YogMQq5a1vW1b7jnAvpN\nuzJ95DjUzLwIK5Wi64wz6Tngk35HFDhOQyPdXz2VzfN+A+vWsfmnd9N9/L9DPM6QRx5k6NTJVPzu\nAXAcv0MNtehLL2Jv3kTPHhNIjx3ndzjGcA80L+GgWSVmIgNkr1pJxR8ewYlE6PxGcOZTOYUVMw/O\ndZO8igd+nRkyvEsT7bMu9zuc4Kuvp/tLX2XzL39F85IXSRw1Dbu5mbrvnEXdf5yi5c0Syu3GTKpa\n1i9uYva3Z6GnpyTXUGImMkBD5t6DlUrR/W+fIz1ylN/h5EWjOFXVWI6D1d7mdzSDYv/zfSrvuD0z\npPWtN/0OZ6esTS3U/DCTjLXNvhonO7ZE+iY9egybHniY1lt/TLq2jopH/0TjkZOpmH+/qmclkO8v\nO8bfQAyT3m13evaYgN3WSvTVl0tyjUAkZul0miuuuIKTTz6Zr33tayxfvtzvkER2rrOTynt/kfll\nAEZkbC1t8M7MyHvvUnXbTTROO4Jhh36Smqsup/q6qxg69RAaj5xE1ZxrMgcJB+zNuvr6q7E3rCdx\n6OF0f+UUv8Mxk2XRdfp/sPHp5+g+5ljsTS3Unfsd6k77MvaqlX5HFxpWy0aif38BJxolecSRfodj\nnOQRpT2eKRCJ2cKFC0kmk8yfP5+LL76YOXPm+B2SyE4NefC32M3NJA/4JD2Tgzc41LQ+s8jbb1F1\n8xwajzqUoYcfTPX1VxN9/TXStXV0fflkOk/7OunGRqLvvE31rTcy9OjDaDz8YKquv4rIa6/6nqRF\nX3mJIXPvwYlEaJtzSyB255osvftINt//Wzb/+E7S9Q1ULHycximHMOS+X/r+bx0GsacXY6XTJCcf\n6uvxcaZKHplZzoyXaJ5ZIAaX/P3vf2fKlMxf9IADDuAf/9jxcQfRF5/H6u72KrTia6gi1qIp2IMS\ngHtY+bOfAtD5n8EYkbG1XJ9Z7Nm/Yrds3PYBAbiH9PQQe/YZKv73EaJvv+V+OV3fQGLGCXR/7iQS\nU6dBRQUAbTfeRuyZp6n4wyNU/On3RN9/j+htN1N92830jN+DxGdPyhw0HI97E3/BPay+6nKsdJqO\ns79Lat+Pe3P9sLMsur96Ksmjp1PzvQuoePSP1F7431Q88iAd3z0fYjG/IwyOfv7/POShBYD6ywbK\nHTT73N+IPfN07+8BJx7fr+e3HMf/jx+XXXYZxx57LFOnZsqD06ZNY9GiRdjb22YewDdBKU/ppuF8\n9PfX3cQhSOpO+zIVTzzmdxh9lm5ooPuEz5L47Ikkphzde3KVS+p+/zAVf/w99gb/p8mndt2N/7+9\new+Kqv7/OP5clpsIcpESb18GFfHCqCEjoilqNYERysVFwHUczZmmwEbQQSQEEkEnFCtmnBTNNBx0\nVKSUdHIMilQGLHW8i5FQoeAF5ZLJ5fz+MJdWUEgF15/vx1+we95nP+clu/P2c/acz83DxTID8R+8\n9JIVVVU17W+oKJhl78Ry6WKMbtzo/IG9IG5+ly9XDv+jw3+L/7Ad747xxQsd2/g/tlkG0ZitXLmS\nkSNH4uNzr6v08vIiPz//GY9KCCGEEKJrGcR3zNzc3Pjhh3vnao8fP46Li8szHpEQQgghRNcziBkz\nRVFISEjg/PnzAKSkpODk5PSMRyWEEEII0bUMojETQgghhBAGcipTCCGEEEJIYyaEEEIIYTCkMRNC\nCCGEMBAvdGNWWFiIu7s7V660LJSbmppKdnb2Y+/z7NmzhIWFodVqmTdvHtevXwdg8+bNaDQaNBoN\n6enpHa7bsWMHgYGBBAcHk5eXp1fz3XffERUVpff7G2+8gVarRavVUlRU9NjH8V90ZY6ZmZkEBQUx\nY8YMvv322w7XGXqOXZkh3FsG7Z133iErK6vDdZJhSxZJSUkEBASg1WqZPXs2tbW1HaqTDFuyyM/P\nJzg4GI1GQ2JiYofrJMN7WZw7d053XFqtlhEjRlBQUNBuHUiG/85i06ZNBAQEEBQUxMGDBztc16kZ\nKi+wo0ePKp6ensqcOXN0j6Wmpiq7d+9+7H3OmjVLOXv2rKIoipKVlaWkpKQoZWVlSkBAgNLc3Kwo\niqLMnDlTOXfuXLt1VVVViq+vr3L37l2lpqZG97OiKMry5csVb29vJTIyUrePtLQ05cCBA4899sfV\nVTneuHFD8fX1VRobG5Xa2lrFy8urQ3XPQ45dleF9q1evVjQajZKVldWhOslQP8OQkBDl5s2b/6lO\nMmzJora2VvH19dVluGHDBuX69evt1kmGrd/LiqIoubm5yqJFizpUJxm2ZHH79m1l0qRJSkNDg3Lr\n1i1l8uTJHarr7Axf6BkzlUrF2LFjsbGxITMzs9XzmzZtIigoiJkzZ5KamgpAYGAgf/xxbzHd/fv3\ns2LFCr2atLQ0hgwZAkBjYyNmZmb07t2bjIwMVP+sWtDY2Ii5uXm7dSdPnsTNzQ0TExMsLS1xdHTk\n3Ll7S9e4ubmRkJCA8q+Lak+fPs2uXbsICwtj1apVNDU1PY2Y2tVVOdra2rJnzx7UajVVVVWYtXHH\n/ec1x67K8P62RkZGTJgwQe+4H1UnGbZkoSgKly9fJi4ujpCQEHbt2tXqtSTDFm1l8csvvzB48GBW\nrlxJWFgY9vb22NnZtVsnGeq/lwHq6+tJT08nNja21WtJhi3ayqJbt2706dOH+vp66urq2lxt6Flk\n+EI3ZveDi4+PZ/PmzZSVlemeO3/+PPv372f79u1kZWVx+fJl8vLyCAoKYs+ePQBkZ2cTHByst097\ne3vg3vqfmZmZzJkzB2NjY2xtbVEUhVWrVjFs2DAcHR3brautrcXKqmV5l+7du+tOmUydOrXV8Ywf\nP564uDgyMzOpq6tr8zRVZ+iqHAHUajVfffUVwcHB+Pn5tRrL85pjV2V44cIF9u3bxwcffNBmU/aw\nOsmwJYv6+nq0Wi2pqalkZGSwbds23T0YH1UnGbZkcePGDQoLC1m8eDEbNmzgyy+/5Lfffmu3TjLU\n/zwE2LlzJz4+PtjY2LQai2TYoq0sFEXBwcGBqVOnEhgYiFarbTWWZ5HhC92Y3WdjY8PSpUuJjo6m\nubkZgNLSUkaOHIlarQZg9OjRXLx4kbfffpsDBw5QWVlJbW0tgwYNarW/3NxcEhISWL9+Pba2tgD8\n/fffLFq0iPr6ehISEtocx4N1lpaW1NXV6Z6vq6ujR48eDz2OwMBA+vXrB8Brr73GmTNnHiuPx9UV\nOQLMmjWLgoICioqKKCwsbLfuecqxszPMycnh6tWrzJ49m+zsbL744otW30tpq04ybMmiW7duaLVa\nzMzM6N69O2PHjtX9b/lRdZJhSxa2tra4urrSs2dPLCwscHd35+zZs+3WSYatPw/37t3LjBkzHjoO\nybDFg1n88MMPVFVVcejQIfLy8jh48CAnT55st66zM5TG7B+TJ0/GycmJ7OxsVCoVAwYM4OTJkzQ1\nNaEoCsXFxTg5OWFpacnw4cNJTk4mMDCw1X5ycnLIzMxk69atun8IRVF47733GDJkCImJibpTmu3V\njRgxguLiYu7evUtNTQ2XLl3C2dm5zfErioKfnx9Xr14F4MiRI7i6uj6teDqsM3P89ddfiYiIAMDY\n2BhTU1Pdm/NRdc9bjp2Z4eLFi9mxYwdbt24lICCAuXPn8uqrr7ZbJxm2ZFFaWkpISAjNzc00NDRw\n7NixVscnGbZoK4thw4Zx8eJFbt68SWNjIydOnGiVhWTYoq0sAGpqarh79y69evVq8/UlwxZtZWFt\nbY25uTmmpqaYmppiZWXV6kKeZ5Gh8X9O6f8RlUql1yQtXbqUo0ePAjB48GB8fHx0H8Du7u68/vrr\nAGg0GubPn8/KlSv19tfU1ERycjJ9+vQhPDwcgDFjxjB06FCKiopoaGjQrQkaFRXFqFGjHlrn4eFB\neHg4s2fPJjQ0lObmZiIjIzE1NW1z/CqViqSkJMLDwzE3N2fQoEFoNJrOiK2Vrsjxfh4uLi4EBwej\nUqmYOHEi7u7uHaoz9By76m/xfmP7MJJhi0dlMW3aNDQaDcbGxvj7+zNw4MAO1UmGLVlERUUxb948\n4N7pn3/PcEiGLR6VRWlpqV6j1tE6ybAliyNHjqDRaDAyMmL06NGMGzeuQ3WdmaEsySSEEEIIYSDk\nVKYQQgghhIGQxkwIIYQQwkBIYyaEEEIIYSCkMRNCCCGEMBDSmAkhhBBCGAhpzIQQQgghDMQLfR8z\nIcST+f333/H29m51l+3PP//8oTe97EqHDh2irKxMbwmb8+fPEx0dDUBFRQUWFhZYW1tjamrKu+++\ny6lTp1iwYMFTHceVK1f45JNPSElJQavVEhERwZgxY3TPL1myBA8PDxRFYcuWLQCUlJTg6OiIiYkJ\no0ePJi4ujtraWlavXk1xcTFqtZoePXqwZMkShg0bxpUrV1i7dm2rezgJIZ4v0pgJIZ7Iyy+/rFuj\nztCcPn261UobLi4uuvHGxMTg4eHB9OnTdc9PmTLlqY8jOTmZhQsX6n5/cEz3b0jp7+9PQECAbhwb\nNmygT58+ADQ3NzN//nw8PT3JycnByMiIwsJC5s+fT25uLg4ODvTs2ZP8/Hy8vLye+jEIIbqGNGZC\niE5x7do1YmNjqaiowNjYmIULFzJhwgQ+++wzjh8/zpUrV5g1axbjxo0jMTGR6upqzM3NiYuLY+jQ\nofzxxx/ExMRw8+ZNzM3NSUpKwsXFhbS0NI4ePUp1dTW2trakp6djbW3N0qVLKSkpASA0NBQ3Nzey\nsrJQqVT07dsXf3//Nsf573ts7969m6KiIlJSUpgyZQpTp04lLy8PtVpNZGQkGzdupKysjOjoaHx8\nfLh27Rrx8fFUVFRgZGREVFQUnp6eevu/fPkylZWVODk5PTKv9u71XVhYSFVVld5snoeHBykpKTQ1\nNQEwffp0PvroI2nMhHiOSWMmhHgilZWVejNOfn5+zJ07l+XLl+Pp6cmcOXMoLy8nNDRUN1PV0NDA\nvn37AJg5cybx8fEMHTqUkpISwsPD2b9/P4mJiXh7exMaGkp+fj7r1q0jMjKS0tJStm/fDkB0dDTf\nfPMNrq6u3L59m+zsbKqrq1m1ahUzZswgJCQE4KFN2YMenMnq1asXe/fuJSYmhvXr17N161aOHTtG\ncnIyPj4+rFixgsDAQKZMmUJlZSVhYWHs2bOH7t276/bx/fff6y0d9rjOnDnDiBEjWj0+ceJE3c/O\nzs6UlJRQU1ODlZXVE7+mEKLrSWMmhHgiDzuVWVhYyIoVKwDo378/I0eO5MSJE6hUKl2DUVdXx6lT\np4iJidHV/fXXX1RXV1NUVERaWhoAXl5eulmg6Ohotm/fTmlpKcePH+d///sfzs7OlJaWMm/ePLy8\nvFi0aNFjHcuDs1b3m56+ffvi4OCAkZERvXv35tatWwAcPnyY0tJSPv30U+De2nrl5eUMGTJEt4+y\nsjK92TIjo9bXXCmK0qopfJBaraa5ubndY3BwcKCsrIzhw4e3u60QwvBIYyaE6BQPNjmKouhOuZmb\nmwP3vjdlZmam19hdvXoVa2trTExM9PZRUlLCnTt3iIqKYu7cuXh7e6NWq1EUBRsbG/bu3cvhw4fJ\nz8/H399fNyP3JExMTHQ/q9XqNo9xy5Yt9OjRA7g3e2hvb6+3jZGRkV6ttbW1rrG779q1a9jY2Dxy\nLK6urmzbtq3V42vWrGH8+PF4eHgAYGxs3GbzJ4R4Psi7VwjRKTw8PNi5cycA5eXl/Pzzz7zyyit6\nzZaVlRWOjo58/fXXABQUFBAWFoZKpcLd3Z3c3FwAfvrpJ5YtW0ZxcTEeHh4EBwczcOBACgoKaGpq\n4tChQyxevJhJkyYRGxuLhYUFFRUVqNVqGhsbO+0Yx44dS2ZmJgAXL17Ez8+PO3fu6G3Tv39//vzz\nT72anJwcXZN66dIlTp8+zahRox75Wu7u7tjZ2ZGenq6bOfvxxx/ZvXs3zs7Ouu0qKiro16/fUzk+\nIUTXkxkzIcQTedgpuA8//JBly5axa9cuVCoVK1aswN7evtX2qampxMfHk5GRgampKWvXrgVg2bJl\nxMbGsm3bNrp160ZSUhKWlpZERETg5+eHsbGx7iKB999/nwMHDvDWW29hZmbGm2++yeDBg7l9+zbR\n0dG89NJLhIWFtTv+9k4nPrjd/WP08/NDURQ+/vhjLCws9LadPHmy3qnV4OBgysvLmTZtGiqVCnNz\nc9asWdPujBnAunXrSElJwdfXF2NjY+zs7MjIyMDOzg6ACxcuMGDAAPl+mRDPMZXS3qVAQgghnkhE\nRAQLFizQm9nqDMnJyYwfP16uyhTiOSanMoUQopPFxMSwcePGTn2NiooKbty4IU2ZEM85mTETQggh\nhDAQMmMmhBBCCGEgpDETQgghhDAQ0pgJIYQQQhgIacyEEEIIIQyENGZCCCGEEAZCGjMhhBBCCAPx\nfxtkHV+w+b4uAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -228,51 +232,40 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "fm = NAM()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, + "execution_count": 112, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ - "data = fm.get_query_data(coordinates,timerange)" + "fm = GFS(res='Quarter')" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 113, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "time_vals = fm.time" + "data = fm.get_query_data(location,timerange)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 116, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "cloud_vars = fm.variables[3:]" + "time_vals = fm.time" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 118, "metadata": { "collapsed": false }, @@ -280,18 +273,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 118, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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BBx/w7bffhoLm+tAKj4iIiIicsw4dOsRjjz122uODBg3iwQcfbIEZNc0rr7wS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\nOHnyJBMnTgRg5syZ7N27t1P79WbR0dGsW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G09icsGO5nZCjsCMiIr1Nl05jGzlyJKlUCtu2qa6uxuv18uGHH3LIIYcAMGnS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\nK1KJ5vAxXklERNSCYYeoFQuyslPkzU/Y8SryBq4h3vFmkJS5g7EDAIA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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -302,45 +295,69 @@ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", - "ax.set_ylabel('Cloud cover (%)')\n", + " \n", + "ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name])\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.legend(bbox_to_anchor=(1.4,1.1))\n", - "ax.set_title('NAM')" + "ax.set_title('GFS 0.25 deg')" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 79, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "ghis = fm.variables[:2]" + "fm = NAM()" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 80, "metadata": { "collapsed": false }, + "outputs": [], + "source": [ + "data = fm.get_query_data(location,timerange)" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "time_vals = fm.time" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "collapsed": false, + "scrolled": false + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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d8zhKUlyMsyrguWuFver7rRJjGpzO51SqqRQOz3mHSrQ9r1jb8oq1fkd4Ki6b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\n", 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te44cR5dvEZHe0KeliIh4JpnKYWBgAdGakNfllES6GHbi/ZzCBhCvL4YdXb5F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\npDBCn+x0d3mHLMurSgONY2qT1xzBGbEDjUNEJF8cx2HDq9s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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -349,8 +366,51 @@ ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "for varname in ghis:\n", + "for varname in cloud_vars:\n", " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", + "ax.set_ylabel('Cloud cover (%)')\n", + "ax.set_xlabel('Forecast Time (UTC)')\n", + "ax.legend(bbox_to_anchor=(1.4,1.1))\n", + "ax.set_title('NAM')" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'Series' object has no attribute 'find'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m6\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime_vals\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'downward_shortwave_radflux_avg'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'ghi'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m 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the\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 84\u001b[0m \u001b[1;31m# string\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 85\u001b[1;33m \u001b[1;32mif\u001b[0m \u001b[0mfmt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfind\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'--'\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 86\u001b[0m \u001b[0mlinestyle\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'--'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 87\u001b[0m \u001b[0mfmt\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfmt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'--'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m''\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mC:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m 2148\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2149\u001b[0m raise AttributeError(\"'%s' object has no attribute '%s'\" %\n\u001b[1;32m-> 2150\u001b[1;33m (type(self).__name__, name))\n\u001b[0m\u001b[0;32m 2151\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2152\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mAttributeError\u001b[0m: 'Series' object has no attribute 'find'" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", + "ax.plot(time_vals, data['downward_shortwave_radflux_avg'], linewidth=2, label='ghi')\n", "ax.set_ylabel('GHI W/m**2')\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.legend()" @@ -358,7 +418,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 87, "metadata": { "collapsed": true }, @@ -369,18 +429,18 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 88, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data([-110.9,32.2],[start,end])" + "data = fm.get_query_data(location,timerange)" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 89, "metadata": { "collapsed": true }, @@ -391,7 +451,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 90, "metadata": { "collapsed": true }, @@ -399,12 +459,12 @@ "source": [ "total_cloud_cover = data['total_clouds']\n", "temp = data['temperature']\n", - "wind = data['wind_speed']" + "wind = data['wind_speed_gust']" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 91, "metadata": { "collapsed": false }, @@ -415,15 +475,15 @@ "(0, 100)" ] }, - "execution_count": 21, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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mzTRt2jTFxMRU6YJjxowp9dq8efOqdM5Q5nlCkq2LAAAIKWXOrD9+/LjmzZunb7/9VjNm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\nU2HjFCk21mfX9RXb0aOn13D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hhISEKl8TgG8RwgBUSVm3Izds2KCpU6dKkurXr6/LL79c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\n", 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69tln1a1bN3k8Hr377rtq3LixP2oDAAAIWOXOhE2ZMkVHjx5VWlqa0tPT5fF4NGnSJH/U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\nUEHKnbLOPddwhah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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -440,7 +500,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 92, "metadata": { "collapsed": false }, @@ -448,18 +508,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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icfoZ7X6dVj2I5EGHIDc1EvnP2/YFKAg8lqt+pT3WFSZB9BKTt24xBOY9eroj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VK1eydu1abMV3TCXmuCSFO6NoZWXoe/Zg5RdgdeioupyMEbrwoLsV\nRVZIJMzLwHy9IqV9ogGoW75E27VLdTkiCdweCQGNaLg+/PBDLrroIn71q19x//33841vfOOocRGp\nInNcmaludUvuUGyK4AWxbcX356ktRCRNIhJCZhnrZxiJ2S2Jh8gObo+EgAaG5gEeffRRpk6dSmns\nKJYVK1bw4IMP8vLLLzte3NGE5WDfjGSsjSbMh0+UOxSbInT+Bdi6Hn3TqayULagsYMih1Y0SOvNM\nvAvm4VmyiOAVV6ouR7SQ2yMhoBErXD6fL9FsAZx88smOFtSQxMG+En6aUeTQ6uaxW7UmfPoZaKEQ\n3o8/VF2OSAJzndyh2Bjh2ByX+Ykc8ZMN3B4JAY1ouE455RQeeOABli1bxooVK/jd735Hx44dWbx4\nMYsXp/4fQqRnL2yPB2Pzpuhv/CIjGF9ED62OnCjbKE0VvOAiQI75yQq2jbEu9m9BGq5jSgzOL1sK\noZDiakSLSCQE0IgtxQ0bosuAEyZMOOTjf/rTnwCYNm2aA2Udg8dDpNeJmKtXYq5dTTh2+7BIb+bn\nEgnRXKELB8NTE/C+P48q1cWIFtH27Ikeb1VQKMdbNcAubkO4R0/MDesxV60gfNoZqksSzSSREFEN\nNlwpb6gaIdz3pGjDtXqVNFwZQNu7B33319i5eVidOqsuJ+OE+p+JnZuLuWY1+q6dWO3aqy5JNJOZ\nWN3qJTePNEJ4wMBow7VkkTRcGUwiIaIabLgWL17M888/z/79+xMf0zSNv//9744WdizROa6XZI4r\nQ5ix7cTwiSeCnlHRb+nB5yM46Fx8776NZ/5cAt++UXVFopnidyjKwHzjhPqfif+lF/AsWUzt936k\nuhzRTBIJEdVgw3X//fdz11130aFDh1TU0yh1WVzScGUC43MZmG+p0AUX43v3bbzvz5OGK4NJJETT\nxBPnPUtkcD6TSSREVIMNV/v27bnqqqtSUUujRWINl7l6Fdi2LM2nOTnSp+USx/zMnyuv+QwmkRBN\nE+nTFysvP5rO//XX2G3bqi5JNINEQkQ12HCNHDmSn/3sZ5x99tkYhgFEtxRVNmFWu/ZYxcXoe/ei\n79iO1bGTslpEw8zP5Q7Flor06YtV0hZj106MLz6X45EylBlPmZc7FBvHMAif0R/vgvnRPK7Lh6mu\nSDSDREJENThQ88ILL/D111/zySefsGjRIhYtWsTChQtTUVv9NK0uj0sS59OerHAlgaYl4iG8899T\nW4tonpoa9K++xDZNV98a31R15yrKtmJGkkiIhAZXuHbv3s2bb76ZilqaJNynL94P3o/OcV1ymepy\nRD20/fswdu7AzsnBOr6r6nIyWvDCi/HP+iee9+dR84Mfqy5HNJGxcQOabRPu1h08HtXlZIzwgFgA\nqhzxk5EkEqJOgytcAwYM4L333iMcDqeinkaLn6no/egDxZWIYzFi24nhXnKHYkvFD7L2fPiBBEFm\noEQkhMxvNUmof2xw/rNP5XWfgSQSok6D74DvvfceP/7xj+nXrx+lpaWUlpbSp4/68/AClw7Fzs3F\n+947mIsUb3GKetUd6SPzWy1ldehIuPeJ6FWVsr2SgQw50qdZ7DZtCHc/Aa2mRkZIMpBEQtRpsOH6\n8MMPWbt27SH/t2bNmlTUdkx227ZU/zC6rZI3/sHonVsi7cQjIcIy5J0UcsxP5orfoRiWhqvJ4gHX\npsRDZByJhKjTYMMVDAZ5+umnue+++6ioqGDixIkEg8FU1NagmjvvwSouxvvxR3jf+Y/qcsRRyKHV\nyRW6cDAAXmm4Mo4hdyg2W10el8xxZRqJhKjTYMP161//murqalatWoVhGHz55Zc88MADqaitQXZh\nK6rv+RkAeeN/DZGI4orE4RKhpxIJkRShc87FNgzMpZ+gHdjf8BeI9GBZmBtiDVfPXoqLyTzScGUu\niYSo02DDtWrVKn7605/i8XjIzc3l8ccfZ/Xq1amorVFqvvM9Ip27YK5ZhW/WP1WXIw524ADG9m3Y\nPh+Rru6+HThZ7IJCwv3PRItEosPzIiPo27ai1dQQadsOu1Vr1eVknEifvti5eRhfbkbbvVt1OaKx\nJBLiEA02XLquH7KFWF5ejp5Od5v5/VTdNwaAvN89AoGA4oJEQmzWL9KzN8RCc0XLJfK43pdtxUwh\nA/MtZJqETo8eXi03jGQOiYQ4VIOd06233sp3vvMdysrKGD9+PNdccw233nproy+wbNkyRo4cCcCe\nPXu44447uOWWW7jxxhv56quvml/5QQLX3UC4T1+Mr7aQ87epSXlMkQSxldCwbCcmVTA2xyWD85lD\nIiFaLizbihlHIiEO1WDw6VVXXcVJJ53EwoULsSyLyZMnU1rauAHoKVOm8Oqrr5IX62yfeOIJhg8f\nztChQ1m4cCEbN26kS5cuLfsvADAMqsY8SKuR15P7hwnU3jQSu6Cw5Y8rWibWcMnAfHKFz+iPlV+A\nuX4d+ratWJ06qy5JNKBuYF7mt5orlLhTURquTFF3h6IMzEMjVrjuuusuevXqxS233MKtt95KaWkp\nt912W6MevGvXrkycOBE7FtmwdOlSdu7cyXe+8x3mzJnDwIEDW1b9QYJDhhIaeDb6nj3kTPpT0h5X\ntMCqVYAc6ZN0Hg+hc8+L/vH9eWprEY1SFwkhq73NFTpjABALQE2zIG5xdHUZXLLCBcdouO68804G\nDx7M3LlzGTx4cOL/LrzwQgKNnJMaMmRI4sBrgG3bttGqVSuee+45OnTowJQpU1r+XxCnaVSOexiA\n3MmT0L7+OnmPLZonvsIlGVxJF4ylzsu5ipnBlBmuFrNLSoh0645WXY25ZpXqckQjSCTEoerdUnzs\nscfYv38/48ePZ9y4cYlVKtM0Oe6445p1sdatWzN4cHT+ZPDgwTz11FMNfk1RUS6m2ciB62GXwre+\nhfbqqxz39FMwcSIAJSUFzapXtEBlJXz5JXg8FA88FcwGd69FU1w1DMbch3/BfPxt8uo9Nkle+2qV\nlBRAeTns/hpyc2lzaqkccdUS550LmzdRtHY5DD7vmJ8qr321SkoKYMtmAFoNOAXk+1F/w1VQUEBB\nQQGTJ09O2sXOOOMM5s2bx/Dhw1m0aBG9GjHPUF5e3aRrGD97gKLXXoO//IW9t36fNgNPZffuiuaW\nLJrJ/OxTioBwz16Ul9eoLif7tOlEcYeOGDu2s3f+x0T6nXzEp5SUFMhrX6H4828uif5bCPXoxb49\nVarLymj+fqdTwD+onfs+FdeNrPfz5LWvVklJAbt37uO4jRvRgN2FbcFF34/6mv2U/KqlaRoA999/\nP7Nnz+aGG27gww8/5Ec/+lHSrxUp7UPg2zeihcPk/W580h9fNI6xNhoJIfNbDtE0Qol4iHlKSxHH\nZqyXgflkCQ84EwBToiHSnkRCHMnxhqtz587MmDEDgI4dO/Lss88yY8YMnnnmGQoKnFlirLpvDLbP\nh//lmbB0qSPXEMdmfhG7DV4OrXaMzHFlhsS/BYmEaLFw337YubmYmzailZWpLkccg0RCHCkrhwms\nzl2o+c73o/+jEXNiIvnid2VJw+Wc4PkXAeD5+COorVVbjKhX4t+CDMy3nGkSOi0WgPq/DxUXI45F\nIiGOlJUNF0Dguuujf/joI7WFuJS+bRsAkS7HK64ke9nt2hHucxJaTY2EQaaxeMq8REIkR3DwpQD4\n3nxNcSXiWCQS4khZ23CF+5yEnZMDGzag7d2juhzXMXZEGy6rYyfFlWS3um1FSZ1PS8EgxuZN2Jom\nWytJErxiGADe/74FBx07J9KLREIcKWsbLkyT8CmnAeBZ+oniYlwmEEAvKwPDwCppq7qarBa68CIA\nPHKuYloyNm9Ci0Swju8Kfr/qcrJCpEcvwn36oh/Yj+eD+arLEfVIrHDJLxoJ2dtwUZdMbH6yRHEl\n7qLv2hn9Q/v2cmi1w4Jnn4vt8WB+thStfK/qcsRh6rYTZX4rmQJXfAsA3+tzFFcijioSwfhyc/SP\n3bqrrSWNZHfD1T92FMSn0nClkr59e/QPneWMP8fl5RE68yw028bzwQLV1YjDJAbm5Q7FpEo0XG++\nBpGI4mrEEb76SiIhjiKrG65wfIVr6ScQS8oXzjN2xhquTjK/lQohmeNKW4lICFnhSqpI35OIdOuO\nXlaGZ+H/VJcjDhc/rF22Ew+R1Q2X1akztGuHXl6eGOATzpMVrtQKxgNQJY8r7UgkhEM0jcCw4QB4\nX39VcTHiCPGGSwbmD5HVDReaBmedBYD5qQzOp4q+Q1a4Uil82hlYha0wvtyMvnmT6nJEnG1jxN54\nJBIi+QJXXAnE5rhkByO9rF8PSCTE4bK74YKDGi6Z40qVRMMlK1ypYRiEzrsAkGN+0sqOHeiVFVjF\nxdht2qiuJuuET+9PpENHjO3bMD/7VHU54mCywnVUrmm4ZHA+dQxZ4Uq5eB6XRxqu9LF2LSAD847R\ndYKXRzO5fK/JtmJaia9wyQzXIbK/4TrzTGxNw1y5AgIB1dW4gr5zR/QP0nClTCIAdcE8uWsrXcQa\nLomEcE5ijuu12bKtmC4iEdgYy+CSSIhDZH/DVVhIpPeJaMEg5srlqqvJfpYlM1wKWN1PINLlePTy\ncnmdpwtZ4XJc6KxBWG3aYG7aiLF2jepyBKBv2woSCXFU2d9wUReAKtuKztPKytDCYayiIsjJUV2O\ne2ha3baixEOkhzXRBiDSq5fiQrKYaRIYegUAvtdmKy5GwEGHVst24hFc0XCFT+8PSOJ8KiTOUOwg\nq1upFkrEQ0jDlRbiW4qywuWo4DBJnU8niYZLBuaP4I6Gq/9BAajCUfqO6PxWpEMHxZW4T/D8iwCi\nQZDV1WqLcTmtsgK2bsX2erG6dlNdTlYLnnchVkEh5uqV6Bslb1G1xBmKEglxBHc0XH1Ows7Jwdy0\nEW3vHtXlZDV9e2yFq6OscKWa3aYNoZNPRQsGJX1bMWND7C6tHj3lPFGn+XwEL70s+sc3XlNcjIiH\njMsK15Fc0XBhmoRPOQ0Aj6xyOSp+h6LVXla4VEgc8yPxEErFD62WgfnUqDvMWua4VEuscMkM1xHc\n0XBRNzgvc1zOimdwyQqXGvFjfmRwXq34kT5hGZhPieDgS7BzcvB8siSxyi4UiEQwvtwc/aNEQhzB\nPQ1Xf7lTMRXi5yjKDJcaobMGYft8eFYuh927VZfjWmY8aVtWuFIjL4/gxZcA4H1TthVV0bdtRQsG\noWNHiYQ4Ctc0XIk7FZd+IgF5DtJ3xla42ndUXIlL5eQQOuuc6J/ffVdtLS5mrPsckEOrUylxtqKk\nzisTv0MRWdk9Ktc0XFbnLlglbdHLy9Fje8wi+eIrXFZHabhUiW8r8vbbSutwrXA48cYT7iFvPKkS\nHDIU2+PB878PZXVXkUTD1bOn2kLSlGsaLjRNthUdplUcQK+qxM7JwW7VWnU5rhW6KDo4z3//K6u5\nCuhbvoxuq3TpAvn5qstxDbtVa0LnX4hmWfCqrHKpEB+YlxWuo3NPwwWE44Pz0nA5om5+qyNomuJq\n3Cvc75TosRpbt2IuXqS6HNcxYwPzlJaqLcSF4ncr8vLLagtxqXgkhKxwHZ2rGi454sdZ8TMUrQ6y\nnaiUrhO4egQA/lkvKS7GfYzYwLw0XKkXGHoFtq7D22+jHdivuhzXkRWuY3NVwxU+/QxsTcNcuQIC\nAdXlZJ1EBpc0XMrVjrgeAN/slyEUUlyNuxiywqWMXVJC6OxzIBTC+/Z/VJfjLgdFQtBDMriOxlUN\nl11QSKT3iWjBIObK5arLyTpGPGVeGi7lIv1Ohr590ffuxTv3HdXluIq5ThoulYLxuxXlbMWUikdC\nRNp3kEiIeriq4YLD4iFEUsk5imlE0+CWWwDwzfqn4mJcxLYTkRDScKkRuDzacHnfe1vOFE2hxKHV\nkjBfL9c1XIk5LkmcTzp9R3yFS1Lm08JNNwHge+uN6GHKwnHanj3o5eVY+QUgv3goYXXqDAMHolVX\n450rWXSpkmi45AzFejnecC1btoyRI0ce8rE5c+Zwww03OH3powr3lzsVnRJf4bLkjSY9dO1K6KxB\naDU1eGV7JSXidyhGeveWO3VVuuYaAHyvSzxEqiTOUOwuK1z1cbThmjJlCmPHjiV00NDu6tWrmTVr\nlpOXPaZwn5Owc3IwN21E27tHWR3ZyIivcMk5imkjPjzvnyl3K6aCHFqdJq6+GgDvf9+CYFBxMe4Q\nj4SQFa76Odpwde3alYkTJ2LHwhfLy8t56qmnGDNmTOJjKWeahE85DQCPzHElTyCAXlaGbRhYJW1V\nVyNiAt+6Kpq+vWA++q6dqsvJevGGKyxH+qjVuzfhPn3RD+zH88F81dW4QmKFS2a46uVowzVkyBAM\nwwDAsiweeOAB7r//fnJzc528bIPic1ymzHElTfzN3GrXHmLfc6GeXVRM8BtD0CwL3yszVZeT9eKR\nELLCpV48BFXuVkyBgyIhIt26q60ljZmputDKlSvZsmULDz30EMFgkPXr1/Pb3/6WX/7yl8f8uqKi\nXEyzZW/gJSUFh37g4vPh6T+Tt/Iz8g7/O9E8n+8DwOjS+ZDn+4jnXqRUSUkB3H4bvPU6+bNnkT/u\n2P/eRAttXA9Aq7NOB+T1r1LeyBthwmPkvPU6Oc9NlV8EnbR5c3TrtmNHSrq1B+S1fzQpa7hOOeUU\nXnvtNQC2bdvG6NGjG2y2AMrLW3Zbb0lJAbt3H3qHlt6jL20Aa+FC9nx9QIZbk8C3Zj2FQOC4dhyI\nPd9He+5F6iSe/7MupE1BIfonn7D3o0+IyHaXM2pqOG7TJjAMygrbUgLy+lekpKSA3e27UdytO8bm\nTex77b+EzjlPdVlZy7N4Ga2BYLcT2L+7wvU/++trNlMSC6Ed1tDYtn3Ex1LJ6twFq6Qtenk5evwo\nAtEiiXMUO0roadrJySEwLLa9Ikf9OMbYuAHNtqNbKl6v6nKEphEYNhwAr9yt6CiJhGgcxxuuzp07\nM2PGjAY/llKaRqi/nKuYTIlzFNtLw5WOAom7Ff8Fqm5YyXKJSIheJyquRMQFDk6dl9e9YyQSonFc\nF3waF44HoP7vI8WVZIdEwyUrXGkpdM55RNp3wNiyGXPxItXlZKVEJIRs2aaN8On9iXToiLF9G+Zn\nn6ouJ2tJJETjuLbhCgz5JgC+V2aiVRxQXE3mM+INl5yjmJ4Mg8A11wHgl21FR8TvUJRIiDSi6wQv\nHwaA7zXZVnSKREI0jmsbrkjfkwieez56ZQW+l15QXU7G03fGz1GUhitd1V77bQB8s1+Gg8KIRXIY\n69YBEOnZS3El4mCJOa7XZsu2ohMkEqLRXNtwAdR894cA5Ez9C1iW4moymGUdNMMlx/qkq0i/kwmX\n9ruBnJQAACAASURBVEHfuxfv3HdUl5NdLAtzgzRc6Sh01iCsNm0wN23EWLtGdTlZR9+2FS0YJNK+\nA+TlqS4nrbm64QoOvZxI5y6YGzfIG1ALaGVlaOEwVnEx5OSoLkfUR9PqVrlm/VNxMdlF37YVrboa\nq6Qtdusi1eWIg5kmgaFXAOB7bbbiYrJP4g5F2U5skKsbLkyTmu98HwD/1L8oLiZzJc5QlDsU0158\njsv31htole7NyUk2OdInvQWHSeq8UyQSovHc3XABtTePxPb78b37NkZsS0A0jb4jPr8l24npzupy\nPMGzz0GrqcErbz5JI5EQ6S143oVYBYWYq1eixxoEkRwSCdF4rm+47OI21MYziv76jOJqMpO+PbbC\n1bGT4kpEY9RlcsndismSGJjvJfNbacnnI3jpZdE/vvGa4mKyi0RCNJ7rGy6oG573z3hBIiKaIX6H\nogzMZ4bAlcOxPR48C+YnDh0XLZOIhJBDq9NW/G5F3+syx5VMEgnReNJwAZGT+klERAskMrhkhSsj\n2EXFBL8xBM2y8L0yU3U5WUFCT9Nf8OJvYOfk4PlkSWJVXrSQREI0iTRcMRIR0XyJcxRlhitj1F4X\n3Vb0zfqX4koyn7Z/H8bXu7BzcrA6dVZdjqhPXh7Biy8BwPumbCsmg0RCNI00XDESEdF8+s54yrys\ncGWK4KVDsQoK8SxbmlidEc2TuEOxRy/Q5UdqOkucrSip80khkRBNIz8d4iQiotniK1yWrHBlDr+f\nwJWxmRY56qdFjPUyMJ8pgkOGRucX//chWlmZ6nIynkRCNI00XAeRiIim0yoOoFdVYufkYLdqrboc\n0QSBWAiqf+a/5MiTFjDXSSREprBbtSZ0/oXR+cX/vKG6nIwnkRBNIw3XQSQiounq5rc6gqYprkY0\nReic84i074CxZTPm4kWqy8lYMjCfWQJXRENQva/LtmJLSSRE00jDdRiJiGiaxBmKcmh15jGMRPK8\nX7YVm00iITJLYOgV2LqOd/5ctAP7VZeT0SQSommk4TqMREQ0TSKDSxqujJQ4W3H2yxAKKa4mA4VC\nGJs3YWuavOlkCLukhNDZ56CFQnjf/o/qcjKXREI0mTRcRyEREY1nxFPmpeHKSJF+JxMu7YO+d6/c\nndsMxuZN0YPbu3SVg9szSDB+t6Icb9VsEgnRdNJwHcUhERHvva26nLSWOEexozRcGUnT6la5Zv1T\ncTGZx/jicwDCcodiRglcHm24vO+9DdXViqvJTBIJ0XTScB3NQREReb8aA1VVigtKX/qO2ApXe2m4\nMlV8jsv31htolRWKq8ks8fmtiMxvZRSrU2dCZ/RHq67GO/dd1eVkJImEaDppuOpR870fEi7tg7l+\nHfm/GqO6nLQVX+GSDK7MZXU5nuDZ56DV1OCVLZYmSURC9JZIiEwTuDx6t6JP7lZsFomEaDppuOqT\nk8OBp/+K7fORM+05eSOqhxFf4ZJzFDNaXSaX3K3YFIkVLomEyDjBYbFtxf++BcGg4moyj0RCNJ00\nXMcQOakfVeN+DUDB6FGJO/JETCCAXlaGbRhYJW1VVyNaIPCtq6IJ3Avmo+/aqbqczGDbGOuiAckS\nCZF5Iif0JNznJPQD+/F8MF91ORlHIiGaThquBtR8/w6Cgy9BLy+n4M4fyl2LB4m/MVvt2oNhKK5G\ntIRdVEzwG0OiCdyvzFRdTkbQv96FXnEAq6gIu00b1eWIZgjI3YrNI5EQzSINV0M0jQN/fBrruOPw\nLphHztMTVVeUNuQMxexSOyJ+t+K/FFeSGeJ3KEZ69pZTFjJUPHXe9+ZrEIkoriZzSCRE80jD1Qh2\nu3ZU/GESAHmP/hpz+WeKK0oPxs54wyXzW9kgeOlQrIJCPMuWJo6rEfWLP0dhmd/KWJG+JxHp1h29\nrAzPwv+pLidjSCRE80jD1UjBId+k5vbvo4VCFPzouxIVwcHnKMoKV1bIySEwLPYbvxz10yCJhMgC\nmkZg2HBAzlZsComEaB5puJqg8sHxEhVxkLpzFGWFK1sE4oe3z/wX2LbiatJbXSSENFyZ7JA5LnnN\nN4pEQjSPNFxNEY+K8HolKoKDGy5Z4coWoXPOI9K+A8aWzZiLF6kuJ60Z6+UOxWwQPr0/kQ4dMbZv\nw/zsU9XlZASJhGgeU3UBmSYeFZE/7pcUjB5F9Vdf1jswa+fmRW+3b9U6xVWmhpFouCRlPmsYBoGr\nR5D79J/Jm/Bbgt+4tN5PDV5wMZE+fVNYXBqprMTYthXb68U6vqvqakRL6DqBK64kd+pf8L32KuHT\n+6uuKO1JJETzON5wLVu2jAkTJjBt2jTWrFnD+PHj0XUdr9fL448/TpsMvJ265vt34H3vHbxz321w\nazFnytPs/+e/sdpn3ypQPJcsIg1XVqkdcT25T/8Z77z38M57r97Ps30+Dkx5nuDQy1NWW7owN64H\nYm84pvzemumCV3yL3Kl/wfvabKrGPiR3nR6LREI0m6M/KaZMmcKrr75KXuy20UcffZRx48ZRWlrK\nSy+9xJQpU7j//vudLMEZus6BZ54j56/PoO3dU++ned97B3PtGloPu4x9M2djZdOL07LqthSzsJl0\ns8jJp1Dx1ESMNavq/Rxjy5f43nqDwu/cTMWfniZw3Q0prFC9QyIhRMYLnTUIq00bzE0bMdauce/K\nbSNIJETzOdpwde3alYkTJ3LfffcB8OSTT1JSUgJAOBzG5/M5eXlH2a1aUz36vmN+TvWePbS66Vo8\nSz+l9ZWXsf+f/86af8haWRlaOIxVXAw5OarLEUlWe/Otx/4E2yb3t78h7w8TKLzzB1Qc2E/td3+Y\nmuLSQPwOxXCvXoorEUlhmgSGXkHO9L/je2021Vnyc9oJEgnRfI42XEOGDGHr1q2J/x1vtj799FOm\nT5/O9OnTG3yMoqJcTLNlKeYlJQUt+vrmX7gA5s+D4cMx5s6l+KpvwptvwllnqaknmbZE33D0zp2P\n+fwqe+4F4PDz/9QT0Kkd/PznFPzy5xSEamDsWHdsx2zZBEBe/9PIk9d/Wmryc3/zDTD97+T953Xy\nHn/UmaKywe7o+bnePifKz/4mSvnwwRtvvMHkyZN55plnKCoqavDzy8urW3S9kpICdu+uaNFjtNjz\nL1H4g//D99Yb2IO/wf6/v0jogovU1tRC3tXraQUE2rbnQD3Pb1o89y6Wkuf/th/iN/zk/+wetF/9\niuptu6h6+NGsb7qKVq3GBMrbdSEsr/+006zn/uQzaVNQiL58OXsWfoYlKzhHlbd8NblAZYfjqZHX\n/lHV12ymNBZi9uzZTJ8+nWnTptG5c+dUXlotv58Df51G7Yjr0aqraHXTiIyPlNC3R3/LkTsURe0t\nt3Fgyt+wPR5y/zKJ/HvvhHBYdVnOifx/e3ceF1W9PnD8c2ZnWN13za2y1Mo0MlMTs7CU1DINM715\nu2VmhWbgiiZKXs007JZlN29WPy0zNS2XtFzLpdJ7zdIwc8VdEAaYGWbO7w9kFBUVmJkzwPN+vXq9\nWM4534fTceaZ7/a40O/LnzSf11iGFMsNsxlHlwfzv/x6mcbBBC7ZEqLk/JJwKYqC2+1m8uTJZGdn\n88ILL9C/f39SUlL80XxgMBrJnDWbnEH/QHE4CBvUH/P8aw+pBqqCFYoyYV4AOLr3IGPeAtSgIIL+\n72PCnhkIdrvWYfmE7uCB/EnDtetASIjW4QgvKth13rx8icaRBC7ZEqLkfD6kWLduXebPnw/Ali1b\nfN1cYNPpyJo8FXd4BMHT/0nYi4PJOpdBzj+e1zqyYvPswVVbdpkX+ZxR95P+2RLC+/XGvHwp4U8+\nTsaHn5S7pMQgKxTLLUenzqhBQRh/2k7oc4NwdH0YR9T9qKFhWocWGHJzZUuIUpCd5v1NUchOGEPW\na/mTMkPGJGD95+QyV1JC/1f+pGFX3XoaRyICSV7k3aQv/hp31WqY1n1HRO9HUNLPah2WV5lWfQNA\n3h2tNI5EeF1wMDlPDgDAsuhzwp4ZSJVmjQh74lEs//k3uuPHNA5QW0EfzkFxOHC2vF22hCgBSbg0\nkvPcC2TOeBtVpyN42usEj4kHt1vrsK6bp3BvU/mULwpzNW9B+rKVuOrWw/jTNiIeeaj8vFHZ7ZiX\nLgYgt1dvjYMRvmCb9E9O//gLWeMn4bj7HnA6Ma9ZTeiIl6nS4kYiunYm6K3p6M/X0qwolHMZWGdM\nBSA7XmoJl4QkXBrKje3PuTkfoZpMWN9/l9CXni8Tk42Vs2fQnT6Nag2WSfPiilyNmpC+bBV5TW/E\n8NuvRHR/EN35oYiyzPTtKnQZ6eTd2qLc7KknLudu1Jic54eSsXQFp3elkjnjbezRD6FaLBh/2kZI\n0ngqt2tNpbatCH5tHIZtW8rUB+aSCJo1E93ZszjatsNx/4Nah1MmScKlMUe3GDI+/gzVGoxlwaeE\nDXoKcnO1DuuqPEV7Gzcp98v/Rcm5a9chfckKnC1vR//XfiK6P4h+z+9ah1Uqli8+AyD30cc1jkT4\ni1qtWv6H44/mc+q3/WR8+Am5fWJxV6qEYV8q1lkzqPRwF6q0uJGQ4S9i+nZlwL+GF5fu+DGss98G\nwDZ2grzul5AkXAHAeV9Ufumf8AjM3ywjvF9vlKzA3cOkYEm8q0kTjSMRgU6tWpWML5fhaNsO/bE0\nImIexPDLT1qHVSJKRjqmVd+gKgr2Xo9pHY7QQnAwjoe7k5nyLqd/3Uf6l8vJfvZ5XPUboDt5gqB5\ncwmP7U3VmxsSNugpzJ/PLxdzGK3TpqDk5GDv2o281ndpHU6ZJQlXgMhrfRfpS77BVb0Gpg3rCH8s\n5qp1GrVkON/D5ZI9iMR1UEPDyJi/CHuXB9GdPUt4r+4YN67XOqxiMy9bmj9huF17WZ0rwGDA2a49\ntomvc2bbfzmzdhO2V0fhbHEbSrYN81eLCRvyD6rc0pjwR2OwzHkX3eFDWkddbPo/U7F8PBdVp8M2\nOlHrcMo0KXMfQFy33Er6VyuJ6N0D488/EdHjIdK/WIZ6viRSoCgYUpQJ8+K6BQVxbu6nhA59Dsui\nzwl/4lFyY/ujmkxFnKBg7/koea1a+zXMqzEvXACA/bE+GkciAo6i4GreguzmLch+JQHdoYOYVn6N\n+ZvlGDdvxLThe0wbvodRr+JseTu5sf3J/dvfy8TQnDU5CcXlIie2P64bb9I6nDJNUdXA3o+gtOUB\nymKJAV3aUcIf74Fhz+9kPzsE28RkrUMqpNK9bTDs3cPZNRvIa3FbkceVxXtfngTk/Xe7CUkYTtDc\nD655qKvBDZzZujMg3pR0R49Q+Y5bwGTi9K+pqGHh1zwnIO9/BRFI9145ewbTt6swf7Mc09pvUbJt\nAJx7Zw72AJ8LaNj5C5W6dEQ1mznz4y+461xfhZhAuv9aKKq0j/RwBSB3rdpkznibSl07Y/5yIbbx\nSaAvXQFvr8nL8+w0nNdI5nCJYtLpyJoyHUen+9Ef2F/kYUGzZqI/8BeG7VvJa6N9sXfzooUoqoq9\nS/R1JVtCFFArVcbeuy/23n0hN5egObMJeW0sIWPicdzXGbVKFa1DLFLwxPEA5Pz9uetOtkTRJOEK\nUHmtWpPXsBGG/X9i3LAO531RWocEnC9r4nTmlzWRje9ESSgKjq4PX/UQ3bFjWP/1FpaFC8gKgITL\ncn44MVeGE0VpWCzkDHkR03ffYtqwjpCxCWT+632to7oi4/drMa3/Dnd4BNkvxmkdTrkgk+YDlaJ4\nupsLlqIHAsM+mTAvfK9g2wXzkkXgdGoai373rxh278IdHoGjcxdNYxHlgKKQOW0malAQloULMK5d\nrXVEl3O7CU4aD0D20JdRK1XWNJzyQhKuAGZ/LP9Nx7RsKWRnaxxNPn3q+S0hmkrCJXzH1bwFeTc3\nQ3fmDKbvvtU0loIPPPaYnmA2axqLKB/cDRthe3U0AKGvvAxZWRpHVJh56ZcY/7sDV81a5Pz9Oa3D\nKTck4QpgrkZNcLa6E50tC/P5+m1a82x62kQSLuFDinKhl0vLHl63G/Oiz4ELH4CE8IacZ5/Hedsd\n6A8fIjj5Na3DucDpxJo8EYDsVxLAatU4oPJDEq4AZw+EN52LeGooypCi8DH7+VqF5hVfa7YRsHHL\nD+iPHMZVtx7OyLaaxCDKKYOBzOkpqHo9QXNm55cHCgCWj/+DYf+f5DVuQm5sf63DKVck4QpwuY88\niqrXY1qzGuW09huhejY9lR4u4WPuevVx3H0PSk4OpuVfaRKDZ++tXr1BJy+XwrtcLVqSM+QlFFUl\ndNhQcDi0Dchmw/rGlPwvR40Dg6yr8yZ5BQlwavXqODt2QsnLw7z0S01jUc5loDt5AjUoSJYIC78o\n2GRUk4UjdjvmpYsBqZ0ofMc2PJ68Ro0x7Pkd68w3NI3F+t6/0J84jrPVnTi6PaJpLOWRJFxlQMGL\nfcHSdK14dphv1EQ+7Qu/sHd/BNVoxLj+e5Tjx/3atunbVegy0sm7tQWuZrf4tW1RgQQFkTU9BQDr\njGmaFXhXTp8mKGUGALYxUqDaF+Rdswywd+2GarVi3LYF3V9FbxbpazJhXvibWqkyjs4PoLjdWBYv\n9GvbBb1q0rslfM15z73k9P8bitNJaNwL4HL5PQbrjGnosjJxdOqM894Ofm+/IpCEqywICcEenb9R\npOX8iikteHq4GssO88J/cnvnDyuaF/pvWFHJSMe06htURcHe6zG/tSsqLlvia7hq1MS4fSuWD/27\nGaru0EGCzrdpGzPer21XJJJwlRH2gjedLz4DjcpfyoR5oQVHl2jcoWEYd/7iSfp9zbxsKYrDgbNd\ne9y16/ilTVGxqWHhZE2ZDkBI0gR0hw/5re3gf05GcTjI7fXYVevjitKRhKuMcHSMwl21KoY/9mL4\n305NYtDvk4RLaMBiwd49fwKv2U/zGAu2YbFLKR/hR46HumHv3gMl20bIiJf98uFa/9tuzJ/9H6rB\ngC1+jM/bq8gk4SorDAbsj/QCwPy5BpPnXS70f+7L/1ISLuFnhcpc+fhNSHf0CMZNG1DNZuzdYnza\nlhCXypw8FXd4BOY1qz2b7vpS8OQJKKpK7lN/w92wkc/bq8gk4SpDCgrnmr9c6PdJlbrDh1Dsdlw1\na6GGhPq1bSGc99yLq1Zt9Af+wrB9q0/bMi9aiKKqOB7oihoW7tO2hLiUWqMGtgmTAAgZE+/T/RcN\nP/6AeeU3qNZgbMPifdaOyCcJVxmS16o1rhsaoj9xHOOGdX5tW4YThab0euw98yev+3p7lILry+pE\noZXcJ57E0b4jutOnCRmb4JtGVJWQieMAyB78Amr16r5pR3hIwlWWKIqnl8vfG0Ea/pCSPkJbntqK\nSxaB0+mTNvS7f8Wwexfu8Agcnbv4pA0hrklRyJw2EzUoCMvCBRjXrvZ6E6aV32DctgV3lSrkPD/U\n69cXl5OEq4wpKKBrWrYUsrP91q4+NRUAVxPZEkJow9W8BXk3N0N35gym7771SRsFH2TsMT3BbPZJ\nG0JcD3fDRtheHQ1A6Csve7eeqMtF8OQJAGTHjUANDfPetUWRJOEqY1yNmuC8oxU6WxbmVd/4rV0Z\nUhSaU5QLvVy+6OF1uz2TlAs+2AihpZxnn8d52x3oDx/CmjzRa9c1fz4fw++/4arfgJwBg7x2XXF1\nknCVQQVL1X3yplOEC7vM3+i3NoW4lL1XbwDMK7727id+wLjlB/RHDuOqWw9nZFuvXluIEjEYyJye\ngqrXEzRnNoZtW0p/zdxcgqfkT8q3vTpKenL9SEqBl0G5jzxK8LhRmNasxvj9WrBYrnicOzgEV/MW\npa6JpWRloj+Whmo2465br1TXEqI03PXq47j7Hkw/biZo9r9wtmt/xeNURUdei5ZgtV73tQv2+LL3\n6i21QkXAcLVoSc6Ql7C+NZ3QYUM5u2YjmEwlvl7Qh3PQHzlM3i3NPdutCP/wecK1c+dOpk2bxrx5\n8zhw4AAJCQnodDqaNm1KYmIiihTILDa1enWcHTthWvstEY/3uOqx5979wNMrUFL6fefnbzVqDHp9\nqa4lRGnZH+uD6cfNnk/pRR53/wOc+/Q66y/a7ZiXLgYubL8iRKCwDY/HtGwJhj2/Y535BtkjRpbo\nOsq5DKwzpuZfc0yivJ77mU8Trvfff5+lS5cSHBwMQHJyMsOGDaNNmzYkJiayZs0a7r//fl+GUG7Z\n4keDMw/FYb/i75VzGRh+243lk49Kn3DJCkURQHIffRzjxnXo09KKPMbwv52Yv12FccM6nO07XvOa\npm9XoctIJ+/WFrhububNcIUovaAgsqanENHjIawzpmHv3qNEz2nQrJnozp7F0bYdjs4P+CBQcTU+\nTbgaNGjArFmzePXVVwHYvXs3bdq0AaBDhw5s2rRJEq4SyrvjTjK+WFrk75WMdKo0b4px43p0aUdx\n16pd4rYuzN+ShEsEgOBgMt+be9VDrG9OJTh5IsFJiaSv+O6aw+oFqxOld0sEKuc995LT/28EzfuQ\n0LgXSF+2qlg9VLrjx7DOfhsA29gJpZ5qIorPpxMVHnjgAfQXPRDqRSU5rFYrmZnenfQqLlDDI3B0\niUZRVcyLrnNYpQieIUVJuEQZkf2P53FVr4Hxl58xLVty1WOVjHRMq1egKgr2Xo/5KUIhis+W+Bqu\nGjUx/rQNy4fvF+tc67QpKDk52Lt2I6/1XT6KUFyNXyfN6y6aiGqz2QgLu/beH5UqWTEYSjfOXK1a\nBS1FM2ggLFtCyJKFhIwfXfLr/JVfQzGsze1QzHtZYe99gKiw979aKEwYD4MHEz4lCZ56AgxFvNwt\n/QzsdujUiSotb/JuGBX1/geAcnnvq4XCu+9Az56ETppAaL8+UL/+tc/74w/4eC7odJjf+Kdf7k25\nvP+l5NeEq1mzZmzdupW77rqL9evX07bttZdenz1bus09q1UL5eTJCtqT1vpeqoRHoNuxgzMbtpZs\nborbTdW9e1GAU1VqoxbjXlboex8AKvz9j3mcSlOnYdi7l8yZ/yL3qb9d8bDwuR9hAjIfeYxcL96v\nCn//NVSu7327zoR174H5q8XYn/57/sKQawwPho5IwOJykRPbn6yqdcHH96Zc3//rUFSy6Ze1zwUr\nERMSEkhJSaFv3764XC6io6P90XzFZTZjj8lfxVjSUkC6o0dQcnJwV6suhXxF2WI0kj1yLADWqclX\nrMygO3oE46YNqGYz9m4x/o5QiBLJnDwVd3gE5jWrPZv1FsWw8xcsSxahWiwlXt0ovMPnCVfdunWZ\nP38+ADfccAPz5s1j/vz5TJo0SbaE8INCm6S63cU+v2CFokyYF2WRvXuP/J26jx8j6P13Lvu9edFC\nFFXF8UBX+UAhygy1Rg1sE/K3RQkZE49y+nSRxwZPHA9AzqBncdep64/wRBFkd79yzhnZFleduugP\nH8K49cdin3+hpI/sMC/KIJ0O25jxAFhTZqCcPVPo15bzm53mygaQoozJfeJJHO07ojt9mpAx8Vc8\nxvj9Wkzrv8MdHkH2i3F+jlBcShKu8k6n8+wmbF5Y/GFFQ6rUUBRlm7NjJxwdOqE7l4F15nTPz/W/\n7cawexfuiAgcnbtoGKEQJaAoZE6biRoUhOWLzzCtWVX49243wUnjAcge+jJqpcp+D1EUJglXBeAp\n+Lt0ETgcxTpXn1qwJUQTr8clhL/Yxo4HIOiD2eiOHAYuzGu0d+8p9eREmeRu2Ajbq/kr0ENGxBWq\nL2pe+iXG/+7AVbMWOX9/TqsQxUUk4aoAXM1uIe/WFujS0zGtWV2scwuGFPNkl3lRhuXddge5PXqh\n2O35E+jdbk/xd3tv2exUlF05zz6fP0/x8CGsyRPzf+h0er7OfiWhWDVFhe9IwlVBFPRyFcxZuS42\nG/ojh1GNRtz1G/goMiH8w5YwFtVgwDL/EywffYj+yGFcdevhvOturUMTouQMBjKnp6Dq9QTNmY1h\n2xYsH/8Hw/4/yWvchNzY/lpHKM6ThKuCsPd6DFVRMK36BuVcxnWdY/jzoqLVRW0aKUQZ4W7UmNwn\nB6C43YQkDAfIrzOqk5dBUba5WrQk54WXUVSV0GFDsb4xBQDbqER57Q4g8kpTQbhr18HZrj2K3Y55\nWdE1GC9WUENRilaL8sI2PAHVakU5v0WK1E4U5YVt2KvkNWqMYc/v6E8cx9nqThyyt1xAkYSrAvGs\nVrzOTVD1skJRlDNqjRpkP/s8AHm3tihZ9QUhAlFQEFnTUzzf2sZIgepAI32NFYi9WwwhCcMxblyP\nLu0o7lq1r3q8Z8K8JFyiHMl+6RUAHNEPaxyJEN7lvOdezr31DootC+e9HbQOR1xCergqEDU8AkeX\naBRVxbxo4TWP92wJ0Vi2hBDliNVK9shx5N1xp9aRCOF19r79yB30rNZhiCuQhKuCyb241M/VqKps\neiqEEEJ4iSRcFYyjcxfc4REYd/0X/e+/FXmcLu0oSrYNd9WqskOxEEIIUUqScFU0ZjP2mB7AhZ22\nr0RWKAohhBDeIwlXBWS/eFjx/PL4SxUkXDJhXgghhCg9WaVYATkj2+KqUxf94UNUadbwihs/KtnZ\ngPRwCSGEEN4gPVwVkU5HzjOD8788exbd6dOX/afk5KCazTg73qdtrEIIIUQ5ID1cFVTO80PJ7dcf\nnHlFHqNarVL0VAghhPACSbgqMDU8QusQhBBCiApBhhSFEEIIIXxMEi4hhBBCCB+ThEsIIYQQwsck\n4RJCCCGE8DFJuIQQQgghfEwSLiGEEEIIH5OESwghhBDCxyThEkIIIYTwMUm4hBBCCCF8TBIuIYQQ\nQggfk4RLCCGEEMLH/F5L0el0kpCQwJEjR9Dr9UycOJFGjRr5OwwhhBBCCL/xew/XunXrcLlczJ8/\nnyFDhjBjxgx/hyCEEEII4Vd+T7gaNmyIy+VCVVUyMzMxGo3+DkEIIYQQwq/8PqRotVo5cuQI0dHR\npKen8+677/o7BCGEEEIIv1JUVVX92WBycjIWi4W4uDiOHTvGgAED+OqrrzCZTP4MQwghhBDCEPUj\nYQAACy1JREFUb/zewxUeHo7BkN9sWFgYTqcTt9vt7zCEEEIIIfzG7z1c2dnZjBo1ipMnT+J0Ohkw\nYAAPP/ywP0MQQgghhPArvydcQgghhBAVjWx8KoQQQgjhY5JwCSGEEEL4mCRcQgghhBA+5vdVitdr\n586dTJs2jXnz5gGwevVqVqxYwRtvvHHZsZ999hkLFizAYDAwePBg7rvvPnJzcxkxYgRnzpwhODiY\n119/ncqVK3vlvPLM6XQyatQojh49isPhYPDgwdSvX5+xY8cCcMMNN5CUlIRer/ec43a7GT9+PHv3\n7sVoNDJp0iTq16/PgQMHSEhIQKfT0bRpUxITE1EUpdTnVQTy/PufPPuBQZ59bcjz7wdqAHrvvffU\nbt26qX369FFVVVUnTpyoRkdHq8OGDbvs2BMnTqjdunVTHQ6HmpmZqXbr1k212+3qv//9bzUlJUVV\nVVVdvny5mpSU5JXzyrsvvvhCnTx5sqqqqpqenq527NhRHTJkiLpt2zZVVVU1ISFBXb16daFzVq5c\nqSYkJKiqqqo7duxQBw8erKqqqj777LPq1q1bVVVV1XHjxnntvPJOnn9tyLOvPXn2tSPPv+8F5JBi\ngwYNmDVrFur5BZStWrVi/Pjxnu8B5s6dy9q1a/nf//5Hq1atMBqNhISE0KBBA/bs2cPPP/9Mhw4d\nAGjfvj0//PBDqc6rKKKjo3nxxReB/E8hBoOBlJQUWrdujcPh4OTJk4SGhgIQHx9PWloaP//8M+3b\ntwfgtttuY9euXQDs3r2bNm3aANChQwc2b95cqvMqCnn+tSHPvvbk2deOPP++F5AJ1wMPPFCo2/Kh\nhx667JiBAwcSFRVFVlaW5yEACA4OJisri6ysLIKDgz0/y8zMLNV5FYXVavXci5deeom4uDgUReHI\nkSN0796d9PR0brrpJgCmTJlCrVq1yMrKIiQkxHMNvV7vqZd58XUL7mVJz6so5PnXhjz72pNnXzvy\n/PteQCZcxRESEoLNZvN8b7PZCA0NLfRzm81GWFiYV86rCNLS0hgwYAA9evTwbEpbp04dVq5cSZ8+\nfXj99dcLHX/pvXS73ej1enS6C4/X9fw/uN7zxAXy/HuXPPtlhzz73ifPv2+V+YSrZcuWbN++HYfD\nQWZmJvv27ePGG2+kVatWrF+/HoD169fTunVrr5xX3p06dYqnn36aESN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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -475,7 +535,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 93, "metadata": { "collapsed": false }, @@ -483,18 +543,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 23, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Va/7kIScAADxbtnT0UiJKJbIMz/cl+h99ixaEJ0mwk0H7ydaJJ54IAPj73/+O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\nIi6kYktERETEhf4/M2X3QFBl8h0AAAAASUVORK5CYII=\n", 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MvwpA7dOKum5xNeR4qoq0qbfB9+Kz0GUZZbP+juprfhu/66emQu15EgRFgbx5Y/yuS0SN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\n9h9wDKbh6g5F9QAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -510,7 +570,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 94, "metadata": { "collapsed": true }, @@ -521,18 +581,18 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 95, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "data = fm.get_query_data([-110.9,32.2],[start,end])" + "data = fm.get_query_data(location,timerange)" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 96, "metadata": { "collapsed": true }, @@ -543,7 +603,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 97, "metadata": { "collapsed": false }, @@ -554,7 +614,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 98, "metadata": { "collapsed": false }, @@ -562,18 +622,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 45, + "execution_count": 98, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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XNf8O+fwiIiIS3lR2RAQA0zR5Y8m/mFXwDrhr8NS24heDfsr4XoNszTWx92VYFuxjK9tL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\nhmGwdOlSCgsLcblcLFu2jEGDdIXhRlTW1bI6N4v9F/bRFHK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AAICrxAfvrFXe1oOX9Zg3taqn2CfbVTnv3Xff1bJly+Tt7a3IyEjFx8era9eu+vTTT3Xo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\ne+65R/fcc49+/fV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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -591,20 +651,17 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 99, "metadata": { "collapsed": false }, "outputs": [ { - "ename": "NameError", - "evalue": "name 'GSD' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mfm\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mGSD\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mNameError\u001b[0m: name 'GSD' is not defined" + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:464: UserWarning: Experimental model. May not be available.\n", + " warnings.warn('Experimental model. May not be available.')\n" ] } ], @@ -614,18 +671,18 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 100, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "data = fm.get_query_data([-110.9,32.2],[start,end])" + "data = fm.get_query_data(location,timerange)" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 101, "metadata": { "collapsed": true }, @@ -636,7 +693,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 102, "metadata": { "collapsed": true }, @@ -647,48 +704,56 @@ }, { "cell_type": "code", - "execution_count": 55, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "var_name = 'downward_shortwave_radflux'" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "ghi = data[var_name]" - ] - }, - { - "cell_type": "code", - "execution_count": 53, + "execution_count": 105, "metadata": { - "collapsed": false + "collapsed": false, + "scrolled": false }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 53, + "execution_count": 105, "metadata": {}, "output_type": "execute_result" }, + { + "ename": "ValueError", + "evalue": "ordinal must be >= 1", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mC:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\IPython\\core\\formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 335\u001b[0m \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 336\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 337\u001b[1;33m \u001b[1;32mreturn\u001b[0m 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\u001b[0mdivmod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m24\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mremainder\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mValueError\u001b[0m: ordinal must be >= 1" + ] + }, { "data": { - "image/png": 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blnDYKKLW5yPG3fR2jhMREbGLjuyIRIiC8t0AdEhsb3OS8NMsNo7zevdrcvfS\nORW92nbA4W0GLh+LdmywO46IiEiTEn7f2UXkhA6Zdfda6ZPW9C+sl8bVztMFgOXFKjsiIiL/n8qO\nSAQoq6wk4K7AMg0Gd+hqdxwJsZEdBwCwz5ePaZo2pxEREWk6VHZEIsDKXdsxDPD4WhDn8dgdR0Js\nZEYP8HuwPEdZW5RvdxwREZEmQ2VHJAJsLd0JQGtPW5uTiB1cTietqdtcYVH+GpvTiIiINB0qOyIR\noLh6DwCZzcNvNzFpHAPT+gBQcDTX5iQiIiJNh8qOSJgzTZMqRykAg9vrZqLR6vxuA7BMB76YQxSW\nldodR0REpElQ2REJc7mle8HlBb+HrilpdscRmzSLjaOZPx2AebmrbE4jIiLSNKjsiIS51bu3A5Bg\npoTlfWKk8fRs0QOArYe32pxERESkadBPRiJhLu/wLgDS49vZnETslt19CJYFVa59HKmusjuOiIiI\n7VR2RMLcAd9eAHqmdLE5iditffOWeLytMBwm87ZpVzYRERGVHZEwVu314nUfwrJgWEdtTiCQmVj3\n92Dt/k02JxEREbGfyo5IGMvZtQPDYeHyJdEiIdHuONIEnJsxEICD7MLr99mcRkRExF4qOyJhbGNJ\nHgAtHKk2J5Gmok96RwxvArh8fJO32e44IiIitlLZEQljuyt3A9ApqaPNSaSpcDgctPPUXb+1fM96\nm9OIiIjYS2VHJIyVW/sBGJDe1eYk0pQMb9cPgD3enZimaXMaERER+6jsiISposMHsTxHsQJO+rXr\nbHccaUJGZfYCvxvLU8XG4l12xxEREbGNyo5ImMrZtQ2AWH8rXE6nzWmkKfG43LSk7tTGhfnaglpE\nRKKXyo5ImNpeVgBAaky6vUGkSRrQpjcAeZXbbU4iIiJiH5UdkTBVUlMMQPdWne0NIk1SdveBWKaB\n11NG0eGDdscRERGxhcqOSBjyBwJUu8oAGNJBNxOV4yXHJZDgb4thwLxtOXbHERERsYXKjkgY2lBc\niOH0Y/jiaN+ytd1xpInq0bwHAFsObbU5iYiIiD1UdkTC0NriHQAkoZuJSv2yswYDUOEqpqKm2uY0\nIiIioaeyIxKGCsrrthPukNDe5iTSlHVqlYK7tgWGw2T+9rV2xxEREQk5lR2RMHQosA+A3mmZNieR\npq5zfBYAa/ZttDmJiIhI6KnsiISZQ1VV+N3lWKbBkI4qO3JyYzIGAnCAQvyBgM1pREREQktlRyTM\n5OzahmH8RVhcAAAgAElEQVSAx9eceE+s3XGkiRvQPgPDGw8uL0vztVGBiIhEF5UdkTCzuTQfgFbu\ntjYnkXDgcDhIc2UAsHSXrtsREZHoorIjEmaKj+4BILN5J5uTSLgY3q4vAHu8O21OIiIiEloqOyJh\nxDRNKo1SAAa1z7I5jYSLMV37gt+N6alg897ddscREREJGZUdkTCSV7oP3LXg99CtTbrdcSRMxLjd\nNLfqtin/Km+1zWlERERCR2VHJIysKsoFIN5sjcOhf75y6vql9AIgr2K7zUlERERCRz8tiYSRvMOF\nAKTHtbM5iYSb7G6DsUyDGk8p+44csjuOiIhISKjsiISRUu9eAHqmdLE5iYSbVomJxPtTMQyYu12n\nsomISHRQ2REJE9VeL1533W/kh3bU5gRy+roldQdgU9kWm5OIiIiEhsqOSJhYvTsPw2Hi8DajVWKS\n3XEkDJ2fNRiAcucejnprbE4jIiISfCo7ImFiY0keAM0dqTYnkXCVmZKGq7Y5hjPAgu3r7Y4jIiIS\ndCo7ImFiV0Xd/VE6J3W0OYmEs45xmQCs2rvB5iQiIiLBp7IjEiaOWPsB6N820+YkEs5GdRoIwH6z\nEL8ZsDmNiIhIcKnsiISB4iOHsDxVWAEn/dp1tjuOhLGhnbqCLxbcNawoyLU7joiISFCp7IiEgZW7\ntgEQ62+Jx+W2OY2EM4fDQaozA4AlhWttTiMiIhJcKjsiYWD7gQIA2sSk2xtEIsKQtn0A2F27w+Yk\nIiIiwaWyIxIG9tXuASCrZWd7g0hEGJfVHyvgIuApZ3tJsd1xREREgkZlR6SJ85sBapxlAAzp0M3m\nNBIJ4jweks12ACzYscrmNCIiIsGjsiPSxG0s3g1OP4Yvjk6tUuyOIxGib6teAOSWb7c5iYiISPCo\n7Ig0ceuK63bMaoaKjjSe7G6DsCyDas9+SivL7Y4jIiISFCo7Ik1c/pFdALRP6GBzEokkbZKSifWm\nYBgW87bqVDYREYlMroaeUFlZyfLlyyksLMThcNCpUydGjhxJTExMKPKJRL2DgX3ghD6pXeyOIhEm\nK6k7G2v3s6FsC9cxzu44IiIija7esnP06FFeffVV5s6dS/fu3UlPT8flcrFmzRqeeeYZLrzwQu6+\n+24SEhJOa8I333yTr776Cq/Xy/XXX8/QoUOZMmUKDoeDrKwspk6dimEYZ/3GRCLBkeoq/O4jYBoM\n7pBldxyJMOd1HcTGTYs54iiixucl1u2xO5KIiEijqrfsPPTQQ0yYMIHJkyfjdDq/81ggEOCrr77i\nF7/4Ba+//vopT7Z8+XLWrFnDrFmzOHr0KH/+85+ZNm0akydPZujQoUydOpX58+eTnZ195u9IJIKs\nLMzFMMDlbU5ibKzdcSTCdE9th3NNEgFPOV/nbmB8r8F2RxIREWlU9V6z87vf/Y5zzz33uKID4HQ6\nyc7O5tVXXz2tyZYsWUL37t25++67ueuuuxg7diybNm1i6NChAIwZM4alS5ee5lsQiVxbSvMBaOVO\nszmJRKr2MZkArCheb3OSk/MHAtT4vHbHEBGRMFPvkR2H47s9qKysjHfeeYfa2lquv/56OnbseNxz\nGnLw4EH27t3Lm2++ye7du7nrrruwLOvY4/Hx8VRUVJzmWxCJXEVVReCBLskd7Y4iEep7HQdQWLiG\n/YECTNM87a/rwVbr8/H2ii/YUPUfnIF4Xsh+iBi32+5YIiISJhrcoOBbTz/99LHTyyZPnsyHH354\n2pO1aNGCzMxMXC4XGRkZxMTEsH///mOPV1VVkZSU1OA4KSnNTnvuaKB1ObFwXRfTNKl01P37GNu7\nf6O/j3Bdl2CKxjW5rOVg/pb3Nyx3NbmHixnVvedxz7FrXT5Y8Q2zt80h4KkAFwRcR/g8dyW3n3uR\nLXn+WzT+fTkVWhcRaUrqLTsPP/ww9957Lx061G13e/ToUdLT03E6ndTU1JzRZIMHD+add97hlltu\noaSkhJqaGs455xxWrFjBsGHDWLRoESNGjGhwnNJSHf35bykpzbQuJxDO65JXug9cteB3kx7bslHf\nRzivS7BE85qkGJ0oZTufbFhK95btv/uYDeuyqXgXM9bP5qinGDxgeBNo5UjngCuXrwoX8/3SkSHN\ncyLR/PflZLQux1P5E7FXvWXnZz/7Ga+99hqxsbHcfffdPPjgg7zyyiv4/X6mTp16RpONHTuWlStX\ncvXVV2OaJlOnTqVdu3Y89thj+Hw+MjMzGT9+/Bm/GZFIsrqo7maicWbrJndqkUSWwWl9+bx0O4VH\nd9iao6yynDeXf0yRtRHDY2EFXPSOG8atoy7BbwaYsugpfDFlLMnbwvcyjz8CJSIi8t/qLTvp6ek8\n9dRTbNmyhV/96lf06NGDZ555hri4uLOa8MEHHzzuczNnzjyrMUUiUe7BAjAgPa6d3VEkwo3L6s9n\n+/6JP+Yw+QdKyGidGtL5/YEA76ycy6ryb8BVtwlB60A37hh6Fe2btzz2vA6uXuxmHZ/u+FplR0RE\nTkm9vy4+dOgQM2fOZP369UybNo1+/fpx33338d5772GaZigzikSlUu9eAHq0zrA5iUS6xNhYkgLp\nAMzLXRXSuedtXcvkudNYdXQBuLzE1KZwc5fbeeKC279TdAAm9D0fyzI45CygsKw0pDlFRCQ81Vt2\n7rnnHrxeL6WlpTz44IOMGjWKN998k5iYGO64445QZhSJOjU+L7XugwAM7dTd5jQSDXq1rDtSsu3I\n1pDMt72kmClfvMI/iv9GwHMEwxfHuc0v48WLHmBYRrcTviYzJY1kfwcMh8X76+eHJKeIiIS3ek9j\nO3z4MFdeeSW1tbXcc889QN121D/4wQ+4+OKLQxZQJBqt2b0Tw2Hi8CaSktjwDoUiZyu7+2CW5XzJ\nUVcJh6oqaZGQGJR5jlRX8eayORQE1mG4TayAk26ewdw+8rJTunHuhRnn8mHRTAp8GznqrSHeo5vt\niohI/eotO/fddx+33XYbbrf7uOtsYmJigh5MJJpt2JcHQHNHaK+dkOiVntyCGG9rvDEHmLd9DRMG\njm7U8f1mgL+v+pplB78Gdy2GA1r4u3DboCtP6xqhc7v25p95zfHHHOaDtYu5adgFjZpTREQiS71l\nZ/z48doZTcQmuyp3gws6NetgdxSJIpmJWWzxHWBt6SYm0HhlZ/GOzXyUOwdfzEFwg7u2JT/MuoLR\nXXud9lgOh4MhrYezrOILVpWtYJJ5vnYrFBGRetX7HeK+++5jyZIl9b7w66+/5t577w1KKJFod8Qs\nAaBvWlebk0g0GZc5GIDD7KbW5zvr8fIPlPDLL99g1q4ZdUXHF8M5zS7ixYsePKOi862r+48GXwyB\nmCMs2L7+rHOKiEjkqvfIzjPPPMOrr77Kr3/9a3r06EFaWhpOp5Pi4mI2bNhAdnY206ZNC2VWkahQ\nUn4E01OFZToY0F47sUno9E7viGN9IqankkV5m7igx4AzGqeypoa3lv+LXO9qDFcAy3TQ2dmfH4+5\nguS4hLPOGefxkBnbl7xADnMLFpN9hjlFRCTy1Vt2EhMTefjhh7nnnntYtmwZBQUFOJ1OBg4cyFNP\nPUVCwtl/wxKR463ctQ2AGF9LYtxum9NItGnnyWQ361ixZ/1plx3TNPlw7TcsKp2P5a7GcEIzX0du\nHXAV3VLTGzXnNf2zeSZnFRXu3WwvKW708UVEJDLUW3a+lZiYSHZ2diiyiAiw7UA+AG1i9MObhN6I\nDv3YvXsde307T+ueaivytzNr68fUxpSCG5zeZK7ofGnQjrq0b96SVmYXDrry+HDjfB5JnRSUeURE\nJLw1WHZEJLT21hSDB7JadLY7ikSh73Xpxfv5HizPUdbtKeDC1P4nfX7R4YO8tXI2pY7tGDGA38Pg\npFHceO4FuJzOoGa9LGsc7+TnscfcwpHqqkY5RU5ERCKLtrARaUL8ZoBqxwEABnfIsjmNRCOX00kr\nOgGwKH9Nvc+r8Xl59Zt/8szKFzng3A6WQTurL0+OfIhbzxkf9KIDMDyjG57a1uD0896ar4M+n4iI\nhJ8Gy86tt94aihwiAmzZWwQuH/hiT+veIyKNaUBqbwDyq3KPe8w0TT5ev4xfzH+Wzd6lGE4/8d50\n7u55N4+cP4lWIb4J7vfSRgCwoXwVfjMQ0rlFRKTpa7Ds1NTUUFxcHIosIlFvbXHdD5fNrDY2J5Fo\nlt1tIJbpwBdzkPz9Jcc+v3b3Th768jd8eWA2lqcKh7cZl7SZwAvjf06fdp1syXpF33MwfHGYnko+\n37zKlgwiItJ0NXjNzsGDBznvvPNo1aoVMTExABiGwfz584MeTiTa7Dy8C5zQPqGd3VEkiiXFxZHo\nb0uVZw8fr/sPF3QZwpsr/sFeYwuGxwK/m74JI7hl9EW27xjocbnpHj+Arb7/8HXRN1zWZ5iteURE\npGlpsOz88Y9/BOoKjmVZQQ8kEs0O+veBE3q16WJ3FIlyPVv0JKdqD8v2LWHp/gV1p1dakGr25M7h\nPyAtuYXdEY+5tv95/Gr5Cqo9+1hfVEC/9p3tjiQiIk1Eg6extW/fntWrV/P+++/TsmVLcnJyaN++\nfSiyiUSVippqfJ4jWJbBkI7d7I4jUe6CrEFYFpieSnD5iK1N5fasH/N49i1NqugAtElKJpW6DT3+\nsWWBzWlERKQpabDsvPDCCyxcuJAvv/ySQCDARx99xLPPPhuKbCJRJWdXLoZh4fYmkxQXZ3cciXLt\nW7YmzeqJ29uC81v9gBcuup9BHTPtjlWvK3ueB0AJuZRWltucRkREmooGy84333zDCy+8QExMDM2a\nNePtt99m0aJFocgmElU2leQB0NKVZnMSkTqPZ9/Cu5Oe4ar+I3E4mvadCvq170ycNw3DGeC9Nbqm\nVERE6jT43cv5X/dK8Hq9x31ORM5e0dE9AHRp3tHmJCLhaWz77wGw9ehavH6fzWlERKQpaLDsjB8/\nnvvvv58jR44wY8YMbrjhBi699NJQZBOJKhXsB2BAum4mKnImxvcagsObiOWuZs6G5XbHERGRJqDB\n3djuvPNOFi1aRHp6Onv37uW+++5j3LhxocgmEjXyD5SAuwb8bnq21QYgImfC5XDSN2kw62oWsnTf\nf7iaUXZHEhERmzVYdn7yk5/w/e9/n/vvvx+PxxOKTCJRZ9XuupuJxpmtcDl0mqjImZrQfyzrli6h\nNqaU5fnbGZ6hnQ1FRKJZg6exXXPNNcydO5fs7Gx++ctfsny5Tg0QaWy5hwoAaBurm4mKnI0WCQm0\nc/QA4N+5X9mcRkRE7NbgkZ1x48Yxbtw4qqurWbhwIc899xyHDh3iq6/0TUSksZTW7oUY6N66s91R\nRMLe1X2y+c3GjZQ5dlJ0+CDtm7e0O5KIiNjklPYSzc3N5c033+S3v/0tzZs352c/+1mwc4lEjVqf\njxp3GQBDO/awOY1I+OuWmk4zXwcMh8X76+bZHUdERGzU4JGdyy+/HIfDwfe//33+8pe/0KZNm1Dk\nEoka64ryMRwmhjeB1KRku+OIRIQLOo/mH8V/I69mA9XeHxCna05FRKJSg0d2XnjhBT7++GOuueYa\nYmNjQ5FJJKqs37cDgOaOVJuTiESO87r1w1mbDO5aPlq32O44IiJikwbLTnx8PFdffTXnnXce559/\nPj/4wQ/Iz88PRTaRqFBYsRuAjokdbE4iEjkcDgeDWw4DYOWBFZimaXMiERGxQ4Nl5/HHH+f2229n\nxYoVrFy5kjvvvJPHH388FNlEosJhswSAvmmZNicRiSwTBo4Gvwd/zCEW522yO46IiNigwbJz6NAh\nxo8ff+zjSy65hMOHDwc1lEi0KK0sx/RUYpkOBnboYncckYgS74mls7s3AJ/vXGRzGhERsUODZScm\nJoaNGzce+3jDhg3ExcUFNZRItFhZuA2AGF8LYt26gFqksV3TLxvLNDji2kVe6T6744iISIg1uBvb\nI488wn333Udyct0uUYcPH2b69OlBDyYSDbYeqLv+LcWTbnMSkcjUqVUKLQKdOezO54MN85ly3g12\nRxIRkRBqsOwMGDCAL774gvz8fCzLol27diQmJoYim0jE21tdDB7o2qKT3VFEItYlXcfyt8J8dvs3\nU15dTZLOThARiRoNnsb26aefctVVV9GtWzdiY2O55JJLmDdPN2kTOVumaXLUUQrA4A7dbE4jErm+\nl9kTd20rcPn4YN1Cu+OIiEgINVh2Xn/9dd5++20AOnXqxD/+8Q9+97vfBT2YSKTbWrIHXD7wxZDR\nSjfrFQmmc9qcA8Dawyu1DbWISBRpsOz4fD5at2597ONWrVoFNZBItFhdtB2ARKsNDkeD/xRF5Cxc\n2W8k+GIxPRV8uXWN3XFERCREGrxmZ9CgQUyePJnLL78cy7L47LPPGDBgQCiyiUS0nUd2gQPaxbez\nO4pIxItxu+kW15/t/uXM37WY8b0G2x1JRERCoMFfJ0+dOpVevXrx3nvvMXv2bHr37s2jjz4aimwi\nEa3MV7cNbq82ur+OSChc2/88LNPBUU8xm/futjuOiIiEQINHdmJiYrj99tu5/fbbQ5FHJCpU1tTg\ncx8GC4Z2yrI7jkhUSEtuQYqZyQFHLh9tmk+vtjfbHUlERIJMFwqI2GDV7lwMh4XLm0xyXILdcUSi\nxvd7nAfAXmsbZZWVNqcREZFgU9kRscHGkp0AtHSl2ZxEJLoM6phJTG0bDGeA99cusDuOiIgEWb2n\nsRUXF5/0henpuuO7yJkqqioCN2QkdbQ7ikjUGZM+krll/2RT5Wr8gUtxOZ12RxIRkSCpt+z86Ec/\nAsDr9XLgwAE6dOiA0+lk165ddOjQgS+++CJkIUUiTQX7AejfTtfriITaZX2GM2/ul1ieo/x743J+\n0H+k3ZFERCRI6j2NbcGCBSxYsIChQ4fy17/+lblz5/L5558za9YsunfvHsqMIhGlsKwUy10NARd9\n0jvYHUck6ricTno3q9t6elHxUpvTiIhIMDV4zc6OHTsYMmTIsY/79evHzp07gxpKJJLl7K67mWhs\noBUuh06fEbHDNf3HYQWc1MbsZ9WuPLvjiIhIkDRYdtLS0vjtb39Lbm4uW7du5fnnnycjIyMU2UQi\nUu7BAgDSYnTdm4hdWiUm0taoO0thzlZtVCAiEqkaLDsvvPACR44cYfLkyTz44IMEAgGeffbZUGQT\niUj7a+s2/+jWWr80ELHTD3ufj2VBqSOPfUcO2R1HRESCoMGbijZv3pzHH388FFlEIp7X76PGdRAD\nGNpR176J2KlX2w4krEvnqKeY99Yt4Gdjfmh3JBERaWQNlp0ePXoc97k2bdqwaNGioAQSiWTr9xRg\nOAMY3njSk1vYHUck6p3fcTT/2vce26vXUeu7ghi32+5IIiLSiBosO1u3bj32Z5/Px7x581izZk1Q\nQ4lEqnV76y6ETjZSbU4iIgAX9hjIJ7s+xfRUMHv9Eq4bPNbuSCIi0ogavGbn/3O73Vx88cUsW7Ys\nWHlEIlph+W4AOiRqy2mRpsDhcDCg+VAAlu/X9zYRkUjT4JGdf/zjH8f+bFkWubm5eDyeoIYSiVSH\nzH0A9E3LtDmJiHzrmgHnsnrRYnwxB/kmbzOjMnvZHUlERBpJg2Vn+fLlGIZx7OMWLVowffr0oIYS\niURlleWYngos02BQB5UdkaaiWWwcHVy92M06PtuxUGVHRCSCNFh2pk2bhtfrJT8/n0AgQFZWFm5d\nwCly2lbuygXA42tJnI6OijQp1/bL5oV16znkLKCwrJROrVLsjiQiIo2gwbKzYcMGfvazn5GcnIxl\nWRw4cIBXXnmFAQMGhCKfSMTYWpoPQGtPms1JROS/ZbROJdnfkXJ3Ie+vn8eD466zO5KIiDSCBsvO\n008/zfTp0+nfvz8Aa9eu5amnnuLDDz8MejiRSLKnugg80LV5Z7ujiMgJjO8yhvd3z6TAt4mj3hri\nPbF2RxIRkbPU4G5sR48ePVZ0AAYMGEBtbW1QQ4lEGtM0OeooBWBw+yyb04jIiYzO7I2rtgW4vHyw\nZrHdcUREpBE0WHaSk5OZN2/esY/nzp1L8+bNgxpKJNJs318MLh/4PWSm6DQ2kabI4XAwtPUwAFYd\nXIFpmjYnEhGRs9Vg2XnyySd54403GD58OMOGDeONN97giSeeCEU2kYixuqhuc4JEsw0Ox2nd3kpE\nQuiH/UeDL4ZAzBHmb19vdxwRETlLDV6zk5GRwYcffsjRo0cxTZPExMSznrSsrIyrrrqKGTNm4HA4\nmDJlCg6Hg6ysLKZOnfqdra5FIkHe4UJwQHp8O7ujiMhJxHk8ZMb2JS+Qw7yCRVzQQ5vxiIiEs3rL\nzqRJk+p9kWEYvPPOO2c0oc/n4/HHHycuLg7Lsnj22WeZPHkyQ4cOZerUqcyfP5/s7OwzGlukqSrz\n7YUY6JWSYXcUEWnANf2zeSZnFRXuIraV7KF7qn5JISISruotO/fee+9xnzMMA8uyzurIy/PPP891\n113Hm2++CcDmzZsZOnQoAGPGjGHJkiUqOxJRjnpr8LoPgwVDOnazO46INKB985a0Mrtw0JXHRxvn\n80jqjXZHEhGRM1TvxQPDhw+nR48eZGVlMXz4cIYPH45lWWRlZTFs2LAzmmz27Nm0bNmSUaNGAWBZ\nFpZlHXs8Pj6eioqKMxpbpKlaXrAdw2Hh8iXRIuHsTwMVkeC7PGscAHvMrRyqqrI5jYiInKl6j+xs\n3ryZO+64g2effZYxY8YAsGTJEh544AH++Mc/0qNHj9OebPbs2RiGwdKlS9m6dStTpkzh0KFDxx6v\nqqoiKSmpwXFSUpqd9tzRQOtyYnavy9KvVgPQPj7D9iz/X1PK0lRoTU4sGtfl0pTBvLf9Y2rcpczZ\n+g2/GH/1cc+JxnU5FVoXEWlK6i0706ZN4+WXX2b48OHHPvfttTXTpk1jxowZpz3ZX//612N/njRp\nEk888QTPP/88K1asYNiwYSxatIgRI0Y0OE5pqY7+/LeUlGZalxOwe12Oemso9uWCC87vfE6T+X9k\n97o0RVqTE4vmdRnRZgRfHZpDTuky9pZk43I4jz0WzetyMlqX46n8idir3tPYysvLv1N0vjV69GgO\nHjzYKJMbhsGUKVP4/e9/z8SJEwkEAowfP75RxhZpCj7ZtBJcPly1zRncMdPuOCJyGq7oOxzDF4fp\nqeLzzTl2xxERkTNQ75GdQCCAaZrH3RPENE38fv9ZTzxz5swT/lkkkqwoWQUe6JnU1+4oInKaPC43\nPeIHsMX3H74uWsJlfY7/BaCIiDRt9R7ZGTJkCK+88spxn3/ttdfo06dPUEOJRIKiwwepcu/FMg2u\n6DPK7jgicgauHXg+VsBJtWcfa4sK7I4jIiKnqd4jOw888AB33HEHc+bMoV+/fpimyebNm2nZsiWv\nv/56KDOKhKU5GxdjGBaJvvakJ7ewO46InIGUxCRSyWI/W/l4y3wGtL/N7kgiInIa6i07iYmJvPvu\nuyxfvpzNmzfjdDr50Y9+xJAhQ0KZTyQsmabJ1soN4IFhaYPtjiMiZ+HKnufx5vatlBi57C8/Qpuk\nZLsjiYjIKaq37AA4HA5GjBhxSjukicj/ySncQcBTDn43l/YeanccETkL/dp3Jm5jW6o9e3lv3QJ+\nOvpKuyOJiMgpqveaHRE5c1/u/A8AaY4sYt0em9OIyNka2/57AGw7uhav32dzGhEROVUqOyKNrMbn\nZW8gF4DsLufYnEZEGsP4XoNxeBOx3NXM2bDM7jgiInKKVHZEGtnnm3PA5cXpTWJ45252xxGRRuBy\nOOmbVHf93ZJ9/7E5jYiInCqVHZFGtmzvKgC6JfQ+7j5VIhK+rh04FgIuvDEHWLh1k91xRETkFOgn\nMZFGVFJ+hHJXEZYFV/QebXccEWlEyXEJtHP0hP9t797jorrv/I+/5spVUBTFKyoiIF4RwWs0tklM\nYk3S3T5ME9sm2Ud+TbdN2iZt1ZiqbWPMpTXtNm3aNN3uxjWPtNt2NdokxsR4C94RlYsiioIKeAME\nAgwz5/z+IKGiqEkEDjPzfv4lIwfe83nAgTfnO98D/CVnvcVpRETk01DZEWlHa3K3YbObhDf1ZVBM\nL6vjiEg7+9eRXwDgjHmUi/X1FqcREZHrUdkRaUd51QcAmNA7zeIkItIRhvfph6sxBpvd4N1De62O\nIyIi16GyI9JOckqP4Q2pBJ+TL43MtDqOiHSQYZFJAOw7c9DiJCIicj0qOyLt5O0jWQDEkkC4O9Ti\nNCLSUW4ZngFApb2EjzwNFqcREZFrUdkRaQcebxMnmw4DMHOw7q0jEsiS+vTH6emOzeFjw6Ecq+OI\niMg1qOyItIN3D+0DVyN2TwRTE1KsjiMiHSwpegQAe8r3W5xERESuRWVHpB1kndoDQEK47q0jEgy+\nNHoyABcooaHJY3EaERG5Gv1WJnKDztdepMpRgmnCl1KmWh1HRDpB2uAEHJ4ocDaxsVBXd0REuiqV\nHZEbtCY3C5vdIMzTh4TYOKvjiEgniQ9NBGDXaZUdEZGuSmVH5AYdrGz+RWdcr7EWJxGRznTz0HQA\nzprH8XibLE4jIiJtUdkRuQF5p0vwhJzH9DmYM3Ky1XFEpBONHTAEuycCnB42F+VZHUdERNqgsiNy\nA946/CEAPc0hRIWFWZxGRDqT3W5ngLt5Kdv2k/ssTiMiIm1R2RH5nLyGjxOeQwBMH5RhcRoRscL0\nIeMBqPAdw2v4LE4jIiKXU9kR+Zw+OLwf01WPrSmMGcNHWR1HRCyQEZ+IzRMOrkY+PJpvdRwREbmM\nyo7I57S5ZDcAQ0JG4LQ7LE4jIlaw2+30cyUA8GGJlrKJiHQ1Kjsin0NlXR0X7McBuDN5irVhRMRS\nU+PTADjtPYphGBanERGRS6nsiHwOa/O2Y3P4cDf2IjlugNVxRMRCk4cmQ1MopqueHccLrY4jIiKX\nUNkR+RxyzucAMDpG99YRCXZOu4M4x1AAthzfa3EaERG5lMqOyGdUWHGaxpAzmIadOam6t46IwOSB\n47mYO8UAACAASURBVAA46SnSUjYRkS5EZUfkM1p3qPneOj188fSMjLQ4jYh0BdOHjQSvG9NdR3bp\nUavjiIjIx1R2RD4DwzA4Vt+8vezUARMsTiMiXYXT4SDWNgSATceyLU4jIiKfUNkR+Qw2F+Vhuuug\nKZRbksdZHUdEupCJ/Ztfw3eiUZsUiIh0FSo7Ip/BpuM7ABjkSsbp0L11ROSfbk4cDV4XhruGAyeP\nWx1HRERQ2RH51Goa6jlrKwbgjiTdW0dEWgtxuYghHoCNR/dYnEZEREBlR+RTW5e7A5vDi6sxhlH9\n462OIyJdUEbfMQAcqz9scRIREQGVHZFPbe+5fQCkdh9tcRIR6aq+mDQOfE587moOlZ+0Oo6ISNBT\n2RH5FE6cP8tHrnJMw8ZdqVrCJiJtC3O76W4MBGDDkd0WpxEREZUdkU9hTd5WbDaI9g2kd1S01XFE\npAtL69N89fdo7SGLk4iIiMqOyHUYhsGRj/IAmNgv3eI0ItLV3Zqchulz0BRSydGz5VbHEREJaio7\nItexvfgwhrsGvG5mJY+3Oo6IdHHdQsOINvoD8G6hlrKJiFhJZUfkOt4vbr63Tn9HEiEul8VpRMQf\njI0dBUDhxQKLk4iIBDeVHZFrqPd4qDCKALgtcbLFaUTEX9yalI5p2Gl0n6Pkwjmr44iIBC2VHZFr\n+EfeTnA24WzszvhBCVbHERE/0SMigm7efthssP7wLqvjiIgELZUdkWvYVZENQHLUKIuTiIi/GdUz\nFYCCqnyLk4iIBC+VHZGrOFl1gVrXad1bR0Q+l9tTJmAaNhrcZzhdXWl1HBGRoKSyI3IVb+ZuxWYz\n6ebtT7/uMVbHERE/0zMyinBvXPNStkPalU1ExAoqOyJXcagmF4CMuDSLk4iIv0rt0byULa8yz+Ik\nIiLBSWVHpA27jx/BF1INXhd3jMiwOo6I+KnbkydgmjY+cpZztvai1XFERIKOyo5IG949uh2APvZh\nhLndFqcREX8VF92DME9vbHaTdwq0lE1EpLOp7IhcprGpidO+QgBuGTrJ4jQi4u+Su6cAkHteS9lE\nRDqbyo7IZd4u2ANOD3ZPNzIHD7c6joj4uduSMjBNqHGeprKuzuo4IiJBRWVH5DI7Tu8FYHjESOx2\nfYuIyI0ZFNOLEE8vbHaD9Yf2WB1HRCSo6Dc5kUtUXKzmorMU04Q5I6ZaHUdEAsTwqOalbPvPHbQ4\niYhIcFHZEbnEmtxt2Owm4U19ie8Za3UcEQkQtw6fAEC1/RQ1DfUWpxERCR4qOyKXyKs+AEB6rO6t\nIyLtJyE2DldjDDaHj3cP7bU6johI0FDZEflYzsnjeEMqwedkdmqm1XFEJMAkRCYBkF2hpWwiIp1F\nZUfkY+8UfghALEOJDA21OI2IBJpbEpuXslXaS6n3eCxOIyISHFR2RACvz0dp02EAZg7WvXVEpP0l\nxw3A2dgdm8PLu4ezrY4jIhIUVHZEgPUF2eBqwO6JYGpCitVxRCRADQlvvnfXnrIDFicREQkOKjsi\nwIendgOQEJaqe+uISIf5wrDmpWwXOEFjU5PFaUREAp+zMz9ZU1MTTz75JKdPn8bj8fCtb32LhIQE\nFixYgN1uJzExkSVLlmCz2TozlgS587W1VDlKsAGzU6ZYHUdEAtio/vHYD3bDcNewsXA/t6emWx1J\nRCSgdeqfsNeuXUtMTAyrVq3i1Vdf5ac//SnPPvssjz/+OKtWrcI0Td5///3OjCTCmtwPsdkNQhv7\nMKx3X6vjiEiAiw9pXsq28/R+i5OIiAS+Ti07s2bN4rHHHgPAMAycTif5+flMmNB8Wf+mm24iKyur\nMyOJcLAyB4CxvcZanEREgsHNCc1Xc86axXh9PovTiIgEtk4tO+Hh4URERFBbW8t3v/tdvve972EY\nRqv/r6mp6cxIEuTyy0rxhJzH9DmYM3Ki1XFEJAiMGzAEmycCnB42HdE9d0REOlKnvmYHoKysjO98\n5zvcf//9zJ49mxdeeKHl/+rq6oiKirrux4iN7daREf2W5tK2a81lw7YdAPS2D2XYoLjOitQl6Ovl\nSppJ2zSXtt3IXIZEJHGsKZvd5Qf46rRp7ZjKevp6EZGupFPLzrlz53jooYdYsmQJEyc2/xU9JSWF\nXbt2kZGRwZYtW5g06fr3ODl7Vld/Lhcb201zacO15uI1fBypywUXTO0/Iajmp6+XK2kmbdNc2naj\nc5ncfyzHjmdzsvEIZRVVOO2OdkxnHX29XEnlT8RanVp2fve731FTU8NvfvMbfvOb3wCwaNEili1b\nRlNTEwkJCcyaNaszI0kQ++DwfkxXPbamMGYMH2V1HBEJIpmDh7PqSBimq56so4e4KTHV6kgiIgGp\nU8vOU089xVNPPXXF4ytXruzMGCIAbCndDU4Y7B4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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -698,7 +763,7 @@ "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", - " ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname)\n", + " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", "ax.set_ylabel('Cloud cover (%)')\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.legend(bbox_to_anchor=(1.4,1.1))" @@ -706,32 +771,38 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 103, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "ghi = data['downward_shortwave_radflux']" + ] + }, + { + "cell_type": "code", + "execution_count": 106, "metadata": { "collapsed": false }, "outputs": [ { - "ename": "AttributeError", - "evalue": "'Series' object has no attribute 'find'", + "ename": "KeyError", + "evalue": "'ghi'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m6\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime_vals\u001b[0m\u001b[1;33m,\u001b[0m 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\u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime_vals\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mghi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_ylabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'GHI'\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;34m' (%s)'\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mfm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvar_units\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'ghi'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_xlabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Forecast Time (UTC)'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mKeyError\u001b[0m: 'ghi'" ] }, { "data": { - "image/png": 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -740,14 +811,14 @@ ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "ax.plot(time_vals, ghi[:].squeeze(), linewidth=2)\n", - "ax.set_ylabel('GHI' + ' (%s)' % fm.var_units[var_name])\n", + "ax.plot(time_vals, ghi, linewidth=2)\n", + "ax.set_ylabel('GHI' + ' (%s)' % fm.var_units['ghi'])\n", "ax.set_xlabel('Forecast Time (UTC)')" ] }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 107, "metadata": { "collapsed": false }, @@ -758,18 +829,18 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 108, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "data = fm.get_query_data([-110.9,32.2],[start,end])" + "data = fm.get_query_data(location,timerange)" ] }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 109, "metadata": { "collapsed": true }, @@ -780,18 +851,18 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 110, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "cloud_vars = fm.variables[3:]" + "cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds']" ] }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 111, "metadata": { "collapsed": false }, @@ -799,18 +870,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 66, + "execution_count": 111, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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UVDBWh4PIEF8q61rZkVlCQn+9WO8sfe91j4qhiLlcVm4uuOACtmzZwpVXXonT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\nqKyWbpEB3JPcVxt1ioiIiIi0Qy4fblZvzOe7faX4envw2C3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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -825,6 +896,15 @@ "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.legend(bbox_to_anchor=(1.4,1.1))" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/pvlib/forecast.py b/pvlib/forecast.py index be101bd279..3e7c78ff1d 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -66,10 +66,12 @@ class ForecastModel(object): The url path of the dataset to parse. query: NCSS query object NCSS object used to complete the forecast data retrival. + set_type: string + Model dataset type. time: datetime Time range specified for the NCSS query. - timespan: datetime - A datetime object, that defines the time range for the data. + time_var: string + Netcdf4 time variable returned from query. var_stdnames: dictionary Dictionary containing the standard names of the variables in the query, where the keys are the common names. @@ -87,7 +89,7 @@ class ForecastModel(object): base_tds_url = catalog_url.split('/thredds/')[0] data_format = 'netcdf' vert_level = 100000 - sp0 = 1367 #W m^-2 + sp0 = 1367 # W m^-2 columns = np.array(['temperature', 'temperature_iso', 'wind_speed', @@ -102,10 +104,11 @@ class ForecastModel(object): 'downward_shortwave_radflux', 'downward_shortwave_radflux_avg',]) - def __init__(self,model_type,model_name,labels,calcWind=False): + def __init__(self,model_type,model_name,labels,set_type,calcWind=False): self.model_name = model_name self.model_type = model_type self.calcWind = calcWind + self.set_type = set_type self.variables = list(labels.keys()) self.modelvariables = list(labels.values()) if self.calcWind: @@ -119,24 +122,19 @@ def __init__(self,model_type,model_name,labels,calcWind=False): self.datasets_list = list(self.model.datasets.keys()) self.set_dataset() - def set_dataset(self,set_type='best'): + def set_dataset(self): """ Retreives the designated dataset, creates NCSS object, and initiates a NCSS query. - Parameters - ---------- - set_type: string - as: "best","latest", or "full" - """ keys = list(self.model.datasets.keys()) labels = [item.split()[0].lower() for item in keys] - if set_type == 'best': + if self.set_type == 'best': self.dataset = self.model.datasets[keys[labels.index('best')]] - elif set_type == 'latest': + elif self.set_type == 'latest': self.dataset = self.model.datasets[keys[labels.index('latest')]] - elif set_type == 'full': + elif self.set_type == 'full': self.dataset = self.model.datasets[keys[labels.index('full')]] self.access_url = self.dataset.access_urls[self.access_url_key] @@ -149,9 +147,11 @@ def set_query_latlon(self): """ if len(self.latlon)>2: - self.query.lonlat_box(self.latlon[0],self.latlon[1],self.latlon[2],self.latlon[3]) + self.query.lonlat_box(self.latlon[0],self.latlon[1],self.latlon[2],self.latlon[3]) # west, east, south, north + self.time_var = 'time1' else: - self.query.lonlat_point(self.latlon[1],self.latlon[0]) + self.query.lonlat_point(self.latlon[1],self.latlon[0]) #longitude, latitude + self.time_var = 'time' def set_query_time(self): """ @@ -161,11 +161,11 @@ def set_query_time(self): """ if len(self.time) == 1: - self.query.time_range(pd.to_datetime(self.time)) + self.query.time(pd.to_datetime(self.time)[0]) else: self.query.time_range(pd.to_datetime(self.time)[0],pd.to_datetime(self.time)[-1]) - def get_query_data(self,latlon,time,vert_level=None,variables=None): + def get_query_data(self,latlon,time,vert_level=None,labels=None): """ Submits a query to the UNIDATA servers using siphon NCSS and converts the netcdf data to a pandas DataFrame. @@ -173,14 +173,14 @@ def get_query_data(self,latlon,time,vert_level=None,variables=None): Parameters ========== + labels: dictionary + Variables and common names being queried. latlon: list Latitude and longitude of query location. time: pd.datetimeindex Time range of interest. vert_level: float or integer Vertical altitude of interest. - variables: list - Variables being queried. Returns ======= @@ -188,8 +188,14 @@ def get_query_data(self,latlon,time,vert_level=None,variables=None): """ if vert_level != None: self.vert_level = vert_level - if variables != None: - [self.modelvariables.append(var) for var in variables] + if labels != None: + self.data_labels = labels + self.variables = list(self.data_labels.keys()) + self.modelvariables = [self.data_labels[key] for key in self.variables] + self.columns = self.variables + if 'u-component_of_wind_isobaric' not in self.modelvariables and \ + 'v-component_of_wind_isobaric' not in self.modelvariables: + self.calcWind = False self.latlon = latlon self.set_query_latlon() @@ -199,25 +205,18 @@ def get_query_data(self,latlon,time,vert_level=None,variables=None): self.query.variables(*self.modelvariables) self.query.accept(self.data_format) netcdf_data = self.ncss.get_data(self.query) - self.set_time(netcdf_data.variables['time'],self.time.tzinfo) + self.set_time(netcdf_data.variables[self.time_var],self.time.tzinfo) self.data = self.netcdf2pandas(netcdf_data) self.set_variable_units(netcdf_data) self.set_variable_stdnames(netcdf_data) self.convert_temperature() - if self.calcWind: + if self.calcWind and self.time_var == 'time': windData = np.sqrt(netcdf_data['u-component_of_wind_isobaric'][:].squeeze()**2+ netcdf_data['v-component_of_wind_isobaric'][:].squeeze()**2) self.data['wind_speed'] = pd.Series(windData,index=self.time) self.var_units['wind_speed'] = 'm/s' - if variables != None: - data_dict = {} - for var in variables: - data_dict[var] = pd.Series(netcdf_data[var][:].squeeze(),index=self.time) - dataframe = pd.DataFrame(data_dict,columns=variables,index=self.time) - return dataframe - netcdf_data.close() return self.data @@ -226,6 +225,8 @@ def netcdf2pandas(self,data): """ Transforms data from netcdf to pandas DataFrame. + Currently only supports one-dimensional netcdf data. + Parameters ========== data: netcdf @@ -235,11 +236,14 @@ def netcdf2pandas(self,data): ======= pd.DataFrame """ - data_dict = {} - for var in self.variables: - data_dict[var] = pd.Series(data[self.data_labels[var]][:].squeeze(),index=self.time) - dataframe = pd.DataFrame(data_dict,columns=self.columns,index=self.time) - return dataframe + if self.time_var == 'time': + """ one-dimensional data """ + data_dict = {} + for var in self.variables: + data_dict[var] = pd.Series(data[self.data_labels[var]][:].squeeze(),index=self.time) + return pd.DataFrame(data_dict,columns=self.columns,index=self.time) + else: + return pd.DataFrame(columns=self.columns,index=self.time) def set_time(self,times,tzinfo): """ @@ -391,8 +395,9 @@ def convert_temperature(self): """ for atemp in ['temperature','temperature_iso']: - self.data[atemp] -= 273.15 - self.var_units[atemp] = 'C' + if atemp in self.data.columns: + self.data[atemp] -= 273.15 + self.var_units[atemp] = 'C' class GFS(ForecastModel): @@ -418,7 +423,7 @@ class GFS(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self,res='Half'): + def __init__(self,res='Half',set_type='best'): model_type = 'Forecast Model Data' model = 'GFS '+res+' Degree Forecast' variables = ['Temperature_isobaric', @@ -434,7 +439,7 @@ def __init__(self,res='Half'): cols = super(GFS, self).columns idx = [1,3,4,5,6,7,8,9,10] data_labels = dict(zip(cols[idx],variables)) - super(GFS, self).__init__(model_type,model,data_labels,calcWind=True) + super(GFS, self).__init__(model_type,model,data_labels,set_type,calcWind=True) class GSD(ForecastModel): @@ -461,7 +466,7 @@ class GSD(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self): + def __init__(self,set_type='best'): import warnings warnings.warn('Experimental model. May not be available.') model_type = 'Forecast Model Data' @@ -478,7 +483,7 @@ def __init__(self): cols = super(GSD, self).columns idx = [0,3,4,5,6,7,8,11] data_labels = dict(zip(cols[idx],variables)) - super(GSD, self).__init__(model_type,model,data_labels) + super(GSD, self).__init__(model_type,model,data_labels,set_type) @@ -508,7 +513,7 @@ class NAM(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self): + def __init__(self,set_type='best'): model_type = 'Forecast Model Data' model = 'NAM CONUS 12km from CONDUIT' description = '' @@ -525,7 +530,7 @@ def __init__(self): cols = super(NAM, self).columns idx = [0,1,3,4,5,6,7,8,11,12] data_labels = dict(zip(cols[idx],variables)) - super(NAM, self).__init__(model_type,model,data_labels) + super(NAM, self).__init__(model_type,model,data_labels,set_type) class NCEP(ForecastModel): @@ -552,7 +557,7 @@ class NCEP(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self): + def __init__(self,set_type='best'): model_type = 'Forecast Model Data' model = 'NCEP HRRR CONUS 2.5km' description = '' @@ -567,7 +572,7 @@ def __init__(self): cols = super(NCEP, self).columns idx = [0,1,3,4,5,6,7,8] data_labels = dict(zip(cols[idx],variables)) - super(NCEP, self).__init__(model_type,model,data_labels,calcWind=True) + super(NCEP, self).__init__(model_type,model,data_labels,set_type,calcWind=True) class NDFD(ForecastModel): @@ -594,7 +599,7 @@ class NDFD(ForecastModel): ''' - def __init__(self): + def __init__(self,set_type='best'): model_type = 'Forecast Products and Analyses' model = 'National Weather Service CONUS Forecast Grids (CONDUIT)' description = '' @@ -605,7 +610,7 @@ def __init__(self): cols = super(NDFD, self).columns idx = [0,2,3,5] data_labels = dict(zip(cols[idx],variables)) - super(NDFD, self).__init__(model_type,model,data_labels,calcWind=False) + super(NDFD, self).__init__(model_type,model,data_labels,set_type,calcWind=False) class RAP(ForecastModel): @@ -632,7 +637,7 @@ class RAP(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self): + def __init__(self,set_type='best'): model_type = 'Forecast Model Data' model = 'Rapid Refresh CONUS 20km' description = '' @@ -646,4 +651,4 @@ def __init__(self): cols = super(RAP, self).columns idx = [0,3,4,5,6,7,8] data_labels = dict(zip(cols[idx],variables)) - super(RAP, self).__init__(model_type,model,data_labels,calcWind=True) + super(RAP, self).__init__(model_type,model,data_labels,set_type,calcWind=True) diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index a53e0e9c26..43866f28d6 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -11,12 +11,15 @@ from numpy.testing import assert_almost_equal import pvlib.forecast as forecast +import pvlib.solarposition as solarposition +from pvlib.location import Location # setup times and location to be tested. -start = datetime.utcnow() # today's date -end = start + timedelta(days=7) # 7 days from today -timerange = [start, end] -tus = [-110.9, 32.2] # Tucson, AZ +_location = [32.2,-110.9] # Tucson, AZ +_tz = 'US/Arizona' +_start = datetime.now() # today's date +_end = _start + timedelta(days=7) # 7 days from today +_timerange = pd.date_range(_start, _end, tz=_tz) _models = {} _variables = np.array(['temperature', @@ -39,18 +42,50 @@ def test_fmcreation(): amodel = model[1]() _models[model[0]] = amodel - def test_data_query(): - for name, model in _models.items(): try: - data = model.get_query_data(tus,timerange) + data = model.get_query_data(_location,_timerange) except requests.exceptions.HTTPError: - pass - # raise SkipTest + raise SkipTest for variable in model.variables: try: assert isnan(data[variable][0]) == False except AssertionError: - pass \ No newline at end of file + pass + +def test_cloudy_day(): + amodel = _models['GFS'] + a_point = Location(_location[0], _location[1], altitude=7.0, name='Tucson',tz=_tz) + solpos = solarposition.get_solarposition(amodel.time, a_point) + + amodel.addRadiation(solpos.zenith) + amodel.cloudy_day_check() + +def test_vert_level(): + amodel = _models['GFS'] + vert_level = 5000 + data = amodel.get_query_data(_location,_timerange,vert_level=vert_level) + +def single_day(): + amodel = _models['GFS'] + timerange = pd.DatetimeIndex([datetime.now()], tz=_tz) + data = amodel.get_query_data(_location,timerange) + +def test_variables(): + amodel = _models['GFS'] + label_dict = {'u':'u-component_of_wind_height_above_ground'} + data = amodel.get_query_data(_location,_timerange,labels=label_dict) + +def test_latest(): + forecast.GFS(set_type='latest') + +def test_full(): + forecast.GFS(set_type='full') + +def test_bounding_box(): + amodel = forecast.GFS() + location = [-111.9,-110.9,31.2,32.2] + data = amodel.get_query_data(location,_timerange,labels={'pressure':'Pressure_surface'}) + From 54a70be1e38890e642a5e7481d3aa9fb4f97d8ae Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Mon, 23 Nov 2015 13:28:53 -0700 Subject: [PATCH 19/88] Added tests in test_forecast.py and modified forecast.py --- .gitignore | 1 + pvlib/forecast.py | 64 +++++++++-------- pvlib/test/test_forecast.py | 135 ++++++++++++++++++++++++++++++++---- 3 files changed, 156 insertions(+), 44 deletions(-) diff --git a/.gitignore b/.gitignore index e2467a5edc..4f1e250cea 100644 --- a/.gitignore +++ b/.gitignore @@ -84,3 +84,4 @@ docs/tutorials/scripts/*.py # miscellaneous **/*ignore* +.ipynb_checkpoints diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 3e7c78ff1d..652c02b020 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -56,6 +56,8 @@ class ForecastModel(object): List of all available forecast models from UNIDATA. latlon: list The extent of the areal coverage of the dataset. + lbox: boolean + Indicates the use of a location bounding box. ncss: NCSS object NCSS model_name: string Name of the UNIDATA forecast model. @@ -70,8 +72,6 @@ class ForecastModel(object): Model dataset type. time: datetime Time range specified for the NCSS query. - time_var: string - Netcdf4 time variable returned from query. var_stdnames: dictionary Dictionary containing the standard names of the variables in the query, where the keys are the common names. @@ -148,10 +148,10 @@ def set_query_latlon(self): """ if len(self.latlon)>2: self.query.lonlat_box(self.latlon[0],self.latlon[1],self.latlon[2],self.latlon[3]) # west, east, south, north - self.time_var = 'time1' + self.lbox = True else: self.query.lonlat_point(self.latlon[1],self.latlon[0]) #longitude, latitude - self.time_var = 'time' + self.lbox = False def set_query_time(self): """ @@ -205,13 +205,14 @@ def get_query_data(self,latlon,time,vert_level=None,labels=None): self.query.variables(*self.modelvariables) self.query.accept(self.data_format) netcdf_data = self.ncss.get_data(self.query) - self.set_time(netcdf_data.variables[self.time_var],self.time.tzinfo) + + self.set_time(netcdf_data.variables['time'],self.time.tzinfo) self.data = self.netcdf2pandas(netcdf_data) self.set_variable_units(netcdf_data) self.set_variable_stdnames(netcdf_data) self.convert_temperature() - if self.calcWind and self.time_var == 'time': + if self.calcWind and not self.lbox: windData = np.sqrt(netcdf_data['u-component_of_wind_isobaric'][:].squeeze()**2+ netcdf_data['v-component_of_wind_isobaric'][:].squeeze()**2) self.data['wind_speed'] = pd.Series(windData,index=self.time) @@ -236,7 +237,7 @@ def netcdf2pandas(self,data): ======= pd.DataFrame """ - if self.time_var == 'time': + if not self.lbox: """ one-dimensional data """ data_dict = {} for var in self.variables: @@ -260,7 +261,7 @@ def set_time(self,times,tzinfo): ======= pandas.DatetimeIndex """ - self.time = pd.DatetimeIndex(num2date(times[:].squeeze(), times.units), tz=tzinfo) + self.time = pd.DatetimeIndex(pd.Series(num2date(times[:].squeeze(), times.units)), tz=tzinfo) def set_variable_units(self,data): """ @@ -310,9 +311,9 @@ def addRadiation(self,zenith): for var in ['dni','dhi','ghi']: self.var_units[var] = '$W m^{-2}$' - def transmittance(self,cloud_type='total_clouds'): + def tao(self,cloud_type='total_clouds'): """ - Calculates factor for determining incoming fraction of shortwave radiation. + Calculates transmittance. Parameters ========== @@ -322,15 +323,20 @@ def transmittance(self,cloud_type='total_clouds'): Returns ======= value: float - Transmittance factor for calculating shortwave radiation + Shortwave radiation transmittance. """ - tao = (self.data[cloud_type]/100.0)*0.35+0.40 - if np.all(self.zenith < 80) and False: - m = self.data['pressure']/(101.3*np.cos(np.radians(self.zenith))) - else: - m = 1.0/(np.cos(np.radians(self.zenith))+0.50572*(96.07995-self.zenith)**-1.6364) + return (self.data[cloud_type]/100.0)*0.35+0.40 + + def air_mass(self): + """ + Calculates air mass number - return tao**m + Returns + ======= + value: float + Transmittance factor for calculating shortwave radiation + """ + return 1.0/(np.cos(np.radians(self.zenith))+0.50572*(96.07995-self.zenith)**-1.6364) def direct_radiation(self): """ @@ -341,7 +347,7 @@ def direct_radiation(self): value: float Direct shortwave radiation. """ - return self.sp0*self.transmittance() + return self.sp0*self.tao()**self.air_mass() def diffuse_radiation(self): """ @@ -352,7 +358,7 @@ def diffuse_radiation(self): value: float Diffuse shortwave radiation. """ - return 0.3*(1.0-self.transmittance())*self.sp0*np.cos(np.radians(self.zenith)) + return 0.3*(1.0-self.tao()**self.air_mass()*self.sp0*np.cos(np.radians(self.zenith))) def diffuse_global_radiation(self): """ @@ -378,16 +384,16 @@ def cloudy_day_check(self): return sb < 10 #w m**-2 - def cloudy_day_global_radiation(self,zenith): - """ - Calculates more accurate total shortwave radiation for ovecast days. + # def cloudy_day_global_radiation(self,zenith): + # """ + # Calculates more accurate total shortwave radiation for ovecast days. - Returns - ======= - logical: bool - If the sky is overcast. - """ - pass + # Returns + # ======= + # logical: bool + # If the sky is overcast. + # """ + # pass def convert_temperature(self): """ @@ -435,7 +441,7 @@ def __init__(self,res='Half',set_type='best'): 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', 'Total_cloud_cover_convective_cloud', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'] + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',] cols = super(GFS, self).columns idx = [1,3,4,5,6,7,8,9,10] data_labels = dict(zip(cols[idx],variables)) diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 43866f28d6..6fc467ad51 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -17,14 +17,14 @@ # setup times and location to be tested. _location = [32.2,-110.9] # Tucson, AZ _tz = 'US/Arizona' -_start = datetime.now() # today's date -_end = _start + timedelta(days=7) # 7 days from today -_timerange = pd.date_range(_start, _end, tz=_tz) - +_timerange = pd.DatetimeIndex([datetime.now()], tz=_tz) +_model_list = ['GFS','GSD','NAM','NCEP','NDFD','RAP'] _models = {} _variables = np.array(['temperature', 'temperature_iso', 'wind_speed', + 'wind_speed_gust', + 'pressure', 'total_clouds', 'low_clouds', 'mid_clouds', @@ -34,26 +34,31 @@ 'downward_shortwave_radflux', 'downward_shortwave_radflux_avg',]) + def test_fmcreation(): members = inspect.getmembers(forecast,inspect.isclass) [members.remove(cls) for cls in members if cls[0] in ['ForecastModel','NCSS','TDSCatalog'] ] for model in members: - amodel = model[1]() - _models[model[0]] = amodel + if model[0] in _model_list: + amodel = model[1]() + _models[model[0]] = amodel def test_data_query(): + names = [] for name, model in _models.items(): try: - data = model.get_query_data(_location,_timerange) + data = model.get_query_data(_location,_timerange) except requests.exceptions.HTTPError: - raise SkipTest + names.append(name) + + for name in names: + _models.pop(name) - for variable in model.variables: - try: - assert isnan(data[variable][0]) == False - except AssertionError: - pass +def test_dataframe(): + for name, model in _models.items(): + for variable in _variables: + assert variable in model.data.columns def test_cloudy_day(): amodel = _models['GFS'] @@ -68,15 +73,19 @@ def test_vert_level(): vert_level = 5000 data = amodel.get_query_data(_location,_timerange,vert_level=vert_level) -def single_day(): +def test_single_day(): amodel = _models['GFS'] - timerange = pd.DatetimeIndex([datetime.now()], tz=_tz) + start = datetime.now() # today's date + end = start + timedelta(days=7) # 7 days from today + timerange = pd.date_range(start, end, tz=_tz) data = amodel.get_query_data(_location,timerange) def test_variables(): amodel = _models['GFS'] + data_labels = amodel.data_labels label_dict = {'u':'u-component_of_wind_height_above_ground'} data = amodel.get_query_data(_location,_timerange,labels=label_dict) + amodel.data_labels = data_labels def test_latest(): forecast.GFS(set_type='latest') @@ -89,3 +98,99 @@ def test_bounding_box(): location = [-111.9,-110.9,31.2,32.2] data = amodel.get_query_data(location,_timerange,labels={'pressure':'Pressure_surface'}) +def test_tao(): + amodel = _models['GFS'] + amodel.data = pd.DataFrame({'total_clouds':[0.0,100.0]}) + tao = amodel.tao() + + assert tao[0] == 0.4 + assert tao[1] == 0.75 + +def test_airmass(): + amodel = _models['GFS'] + amodel.zenith = np.array([90,60,30]) + m = amodel.air_mass() + + assert_almost_equal(m,[37.919608, + 1.9942928, + 1.1539922], 1) + +def test_temp_convert(): + amodel = _models['GFS'] + amodel.data = pd.DataFrame({'temperature':[273.15],'temperature_iso':[273.15]}) + amodel.convert_temperature() + + assert amodel.data['temperature'].values == 0.0 + assert amodel.data['temperature_iso'].values == 0.0 + +def test_dni(): + pass + +def test_dhi(): + pass + +def test_ghi(): + pass + +def test_varmap(): + varmap_dict = \ + {'GFS':['Temperature_isobaric', + 'Wind_speed_gust_surface', + 'Pressure_surface', + 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'Total_cloud_cover_convective_cloud', + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',], + 'GSD':['Temperature_surface', + 'Wind_speed_gust_surface', + 'Pressure_surface', + 'Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_UnknownLevelType-214', + 'Medium_cloud_cover_UnknownLevelType-224', + 'High_cloud_cover_UnknownLevelType-234', + 'Downward_short-wave_radiation_flux_surface',], + 'NAM':['Temperature_surface', + 'Temperature_isobaric', + 'Wind_speed_gust_surface', + 'Pressure_surface', + 'Total_cloud_cover_entire_atmosphere_single_layer', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud', + 'Downward_Short-Wave_Radiation_Flux_surface', + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',], + 'NCEP':['Temperature_height_above_ground', + 'Temperature_isobaric', + 'Wind_speed_gust_surface', + 'Pressure_surface', + 'Total_cloud_cover_entire_atmosphere', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud',], + 'NDFD':['Temperature_surface', + 'Wind_speed_surface', + 'Wind_speed_gust_surface', + 'Total_cloud_cover_surface',], + 'RAP':['Temperature_surface', + 'Wind_speed_gust_surface', + 'Pressure_surface', + 'Total_cloud_cover_entire_atmosphere_single_layer', + 'Low_cloud_cover_low_cloud', + 'Medium_cloud_cover_middle_cloud', + 'High_cloud_cover_high_cloud',]} + + idx_dict = \ + {'GFS':[1,3,4,5,6,7,8,9,10], + 'GSD':[0,3,4,5,6,7,8,11], + 'NAM':[0,1,3,4,5,6,7,8,11,12], + 'NCEP':[0,1,3,4,5,6,7,8], + 'NDFD':[0,2,3,5], + 'RAP':[0,3,4,5,6,7,8]} + + for name,model in _models.items(): + label_dict = dict(zip(_variables[idx_dict[name]],varmap_dict[name])) + for key, _ in model.data_labels.items(): + assert label_dict[key] == model.data_labels[key] From 444fbe251bcd7910a3dca9e6807738da83c025fd Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Mon, 23 Nov 2015 14:11:42 -0700 Subject: [PATCH 20/88] change model names --- pvlib/forecast.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 652c02b020..2c4a3df5fc 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -448,11 +448,12 @@ def __init__(self,res='Half',set_type='best'): super(GFS, self).__init__(model_type,model,data_labels,set_type,calcWind=True) -class GSD(ForecastModel): +class HRRR_ESRL(ForecastModel): ''' - Subclass of the ForecastModel class representing NCEP forecast model. + Subclass of the ForecastModel class representing + NOAA/GSD/ESRL's HRRR forecast model. This is not an operational product. - Model data corresponds to NOAA/GSD HRRR CONUS 3km resolution + Model data corresponds to NOAA/GSD/ESRL HRRR CONUS 3km resolution surface forecasts. Attributes @@ -539,9 +540,9 @@ def __init__(self,set_type='best'): super(NAM, self).__init__(model_type,model,data_labels,set_type) -class NCEP(ForecastModel): +class HRRR(ForecastModel): ''' - Subclass of the ForecastModel class representing NCEP forecast model. + Subclass of the ForecastModel class representing HRRR forecast model. Model data corresponds to NCEP HRRR CONUS 2.5km resolution forecasts. From 1e5393d301e21c2e6a66c2716472f949838a67c7 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Mon, 23 Nov 2015 21:21:34 -0700 Subject: [PATCH 21/88] fix super and test --- pvlib/forecast.py | 10 +++++----- pvlib/test/test_forecast.py | 10 +++++----- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 2c4a3df5fc..3e2591aa3d 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -475,7 +475,7 @@ class HRRR_ESRL(ForecastModel): ''' def __init__(self,set_type='best'): import warnings - warnings.warn('Experimental model. May not be available.') + warnings.warn('HRRR_ESRL is an experimental model and is not always available.') model_type = 'Forecast Model Data' model = 'GSD HRRR CONUS 3km surface' description = '' @@ -487,10 +487,10 @@ def __init__(self,set_type='best'): 'Medium_cloud_cover_UnknownLevelType-224', 'High_cloud_cover_UnknownLevelType-234', 'Downward_short-wave_radiation_flux_surface',] - cols = super(GSD, self).columns + cols = super(HRRR_ESRL, self).columns idx = [0,3,4,5,6,7,8,11] data_labels = dict(zip(cols[idx],variables)) - super(GSD, self).__init__(model_type,model,data_labels,set_type) + super(HRRR_ESRL, self).__init__(model_type,model,data_labels,set_type) @@ -576,10 +576,10 @@ def __init__(self,set_type='best'): 'Low_cloud_cover_low_cloud', 'Medium_cloud_cover_middle_cloud', 'High_cloud_cover_high_cloud',] - cols = super(NCEP, self).columns + cols = super(HRRR, self).columns idx = [0,1,3,4,5,6,7,8] data_labels = dict(zip(cols[idx],variables)) - super(NCEP, self).__init__(model_type,model,data_labels,set_type,calcWind=True) + super(HRRR, self).__init__(model_type,model,data_labels,set_type,calcWind=True) class NDFD(ForecastModel): diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 6fc467ad51..dada38b884 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -18,7 +18,7 @@ _location = [32.2,-110.9] # Tucson, AZ _tz = 'US/Arizona' _timerange = pd.DatetimeIndex([datetime.now()], tz=_tz) -_model_list = ['GFS','GSD','NAM','NCEP','NDFD','RAP'] +_model_list = ['GFS','HRRR_ESRL','NAM','HRRR','NDFD','RAP'] _models = {} _variables = np.array(['temperature', 'temperature_iso', @@ -144,7 +144,7 @@ def test_varmap(): 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', 'Total_cloud_cover_convective_cloud', 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',], - 'GSD':['Temperature_surface', + 'HRRR_ESRL':['Temperature_surface', 'Wind_speed_gust_surface', 'Pressure_surface', 'Total_cloud_cover_entire_atmosphere', @@ -162,7 +162,7 @@ def test_varmap(): 'High_cloud_cover_high_cloud', 'Downward_Short-Wave_Radiation_Flux_surface', 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',], - 'NCEP':['Temperature_height_above_ground', + 'HRRR':['Temperature_height_above_ground', 'Temperature_isobaric', 'Wind_speed_gust_surface', 'Pressure_surface', @@ -184,9 +184,9 @@ def test_varmap(): idx_dict = \ {'GFS':[1,3,4,5,6,7,8,9,10], - 'GSD':[0,3,4,5,6,7,8,11], + 'HRRR_ESRL':[0,3,4,5,6,7,8,11], 'NAM':[0,1,3,4,5,6,7,8,11,12], - 'NCEP':[0,1,3,4,5,6,7,8], + 'HRRR':[0,1,3,4,5,6,7,8], 'NDFD':[0,2,3,5], 'RAP':[0,3,4,5,6,7,8]} From 6dabd707f4ee58256678fca16645d6d9320e8f03 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Tue, 8 Dec 2015 11:37:31 -0700 Subject: [PATCH 22/88] Updated forecast class & radiation models --- pvlib/atmosphere.py | 56 ++++++- pvlib/forecast.py | 380 ++++++++++++++++++++------------------------ pvlib/irradiance.py | 102 ++++++++++++ 3 files changed, 332 insertions(+), 206 deletions(-) diff --git a/pvlib/atmosphere.py b/pvlib/atmosphere.py index 0ba96bf855..2ae2ccb20b 100644 --- a/pvlib/atmosphere.py +++ b/pvlib/atmosphere.py @@ -57,7 +57,6 @@ def pres2alt(pressure): return alt - def alt2pres(altitude): ''' Determine site pressure from altitude. @@ -99,7 +98,6 @@ def alt2pres(altitude): return press - def absoluteairmass(airmass_relative, pressure=101325.): ''' Determine absolute (pressure corrected) airmass from relative @@ -248,3 +246,57 @@ def relativeairmass(zenith, model='kastenyoung1989'): AM = np.nan if z > 90 else AM return AM + + +def transmittance(zenith, cloud_prct): + ''' + Calculates transmittance. + + Based on observations by Liu and Jordan, 1960 as well as + Gates 1980. + + Parameters + ---------- + cloud_prct: float or int + Percentage of clouds covering the sky. + + Returns + ------- + value: float + Shortwave radiation transmittance. + + References + ---------- + [1] Campbell, G. S., J. M. Norman (1998) An Introduction to + Environmental Biophysics. 2nd Ed. New York: Springer. + + [2] Gates, D. M. (1980) Biophysical Ecology. New York: Springer Verlag. + + [3] Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and + characteristic distribution of direct, diffuse, and total solar + radiation". Solar Energy 4:1-19 + ''' + + return ((100.0 - cloud_prct) / 100.0) * 0.75 + + +def cloudy_day_check(zenith, cloud_prct, pressure=101325.): + ''' + Determines if the sky is overcast. + + Returns + ------- + logical: bool + Is the sky is overcast. + + References + ---------- + [1] Campbell, G. S., J. M. Norman (1998) An Introduction to + Environmental Biophysics. 2nd Ed. New York: Springer. + ''' + + sb = atmosphere.liujordan_dni(zenith, cloud_prct, pressure) * np.cos(np.radians(zenith)) + + return sb < 10.0 + + diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 3e2591aa3d..db7dc840a2 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -1,7 +1,7 @@ -""" +''' The 'forecast' module contains class definitions for retreiving forecasted data from UNIDATA Thredd servers. -""" +''' from netCDF4 import num2date import pandas as pd @@ -20,10 +20,6 @@ class ForecastModel(object): Parameters ---------- - calcWind: bool - Indicates whether wind is calculated using components. - labels: dictionary - Common variable name to pecific variable name references. model_type: string UNIDATA category in which the model is located. model_name: string @@ -89,32 +85,21 @@ class ForecastModel(object): base_tds_url = catalog_url.split('/thredds/')[0] data_format = 'netcdf' vert_level = 100000 - sp0 = 1367 # W m^-2 columns = np.array(['temperature', - 'temperature_iso', 'wind_speed', - 'wind_speed_gust', 'pressure', 'total_clouds', 'low_clouds', 'mid_clouds', 'high_clouds', - 'boundary_clouds', - 'convect_clouds', - 'downward_shortwave_radflux', - 'downward_shortwave_radflux_avg',]) + 'dni', + 'dhi', + 'ghi',]) - def __init__(self,model_type,model_name,labels,set_type,calcWind=False): + def __init__(self, model_type, model_name, set_type): self.model_name = model_name self.model_type = model_type - self.calcWind = calcWind self.set_type = set_type - self.variables = list(labels.keys()) - self.modelvariables = list(labels.values()) - if self.calcWind: - self.modelvariables.append('u-component_of_wind_isobaric') - self.modelvariables.append('v-component_of_wind_isobaric') - self.data_labels = labels self.catalog = TDSCatalog(self.catalog_url) self.fm_models = TDSCatalog(self.catalog.catalog_refs[self.model_type].href) self.fm_models_list = sorted(list(self.fm_models.catalog_refs.keys())) @@ -123,11 +108,11 @@ def __init__(self,model_type,model_name,labels,set_type,calcWind=False): self.set_dataset() def set_dataset(self): - """ + ''' Retreives the designated dataset, creates NCSS object, and initiates a NCSS query. - """ + ''' keys = list(self.model.datasets.keys()) labels = [item.split()[0].lower() for item in keys] if self.set_type == 'best': @@ -142,36 +127,36 @@ def set_dataset(self): self.query = self.ncss.query() def set_query_latlon(self): - """ + ''' Sets the NCSS query location latitude and longitude. - """ - if len(self.latlon)>2: - self.query.lonlat_box(self.latlon[0],self.latlon[1],self.latlon[2],self.latlon[3]) # west, east, south, north + ''' + if len(self.longitude) == 2: + self.query.lonlat_box(self.latitude[0], self.latitude[1], self.longitude[0], self.longitude[1]) # west, east, south, north self.lbox = True - else: - self.query.lonlat_point(self.latlon[1],self.latlon[0]) #longitude, latitude + elif len(self.longitude) == 1: + self.query.lonlat_point(self.longitude, self.latitude) self.lbox = False def set_query_time(self): - """ + ''' Sets the NCSS query time range. as: single or range - """ + ''' if len(self.time) == 1: self.query.time(pd.to_datetime(self.time)[0]) else: - self.query.time_range(pd.to_datetime(self.time)[0],pd.to_datetime(self.time)[-1]) + self.query.time_range(pd.to_datetime(self.time)[0], pd.to_datetime(self.time)[-1]) - def get_query_data(self,latlon,time,vert_level=None,labels=None): - """ + def get_query_data(self, latitude, longitude, time, vert_level=None, variables=None): + ''' Submits a query to the UNIDATA servers using siphon NCSS and converts the netcdf data to a pandas DataFrame. Parameters - ========== + ---------- labels: dictionary Variables and common names being queried. @@ -183,110 +168,105 @@ def get_query_data(self,latlon,time,vert_level=None,labels=None): Vertical altitude of interest. Returns - ======= + ------- pd.DataFrame - """ + ''' if vert_level != None: self.vert_level = vert_level if labels != None: - self.data_labels = labels - self.variables = list(self.data_labels.keys()) - self.modelvariables = [self.data_labels[key] for key in self.variables] - self.columns = self.variables - if 'u-component_of_wind_isobaric' not in self.modelvariables and \ - 'v-component_of_wind_isobaric' not in self.modelvariables: - self.calcWind = False + self.variables = variables + self.modelvariables = list(self.variables.keys()) + self.queryvariables = [self.variables[key] for key in self.modelvariables] + self.columns = self.modelvariables - self.latlon = latlon + self.latitude = latitude + self.longitude = longitude self.set_query_latlon() self.time = time self.set_query_time() self.query.vertical_level(self.vert_level) - self.query.variables(*self.modelvariables) + self.query.variables(*self.queryvariables) self.query.accept(self.data_format) netcdf_data = self.ncss.get_data(self.query) - - self.set_time(netcdf_data.variables['time'],self.time.tzinfo) + self.set_time(netcdf_data.variables['time'], self.time.tzinfo) self.data = self.netcdf2pandas(netcdf_data) self.set_variable_units(netcdf_data) self.set_variable_stdnames(netcdf_data) - self.convert_temperature() + self.convert_temperature(netcdf_data) - if self.calcWind and not self.lbox: - windData = np.sqrt(netcdf_data['u-component_of_wind_isobaric'][:].squeeze()**2+ - netcdf_data['v-component_of_wind_isobaric'][:].squeeze()**2) - self.data['wind_speed'] = pd.Series(windData,index=self.time) - self.var_units['wind_speed'] = 'm/s' + self.calc_wind(netcdf_data) + + self.calc_radiation() netcdf_data.close() return self.data - def netcdf2pandas(self,data): - """ + def netcdf2pandas(self, data): + ''' Transforms data from netcdf to pandas DataFrame. Currently only supports one-dimensional netcdf data. Parameters - ========== + ---------- data: netcdf Data returned from UNIDATA NCSS query. Returns - ======= + ------- pd.DataFrame - """ + ''' if not self.lbox: - """ one-dimensional data """ + ''' one-dimensional data ''' data_dict = {} - for var in self.variables: - data_dict[var] = pd.Series(data[self.data_labels[var]][:].squeeze(),index=self.time) - return pd.DataFrame(data_dict,columns=self.columns,index=self.time) + for var in self.dataframe_variables: + data_dict[var] = pd.Series(data[self.variables[var]][:].squeeze(), index=self.time) + return pd.DataFrame(data_dict, columns=self.columns, index=self.time) else: - return pd.DataFrame(columns=self.columns,index=self.time) + return pd.DataFrame(columns=self.columns, index=self.time) - def set_time(self,times,tzinfo): - """ + def set_time(self, times, tzinfo): + ''' Converts time data into a pandas date object. Parameters - ========== + ---------- times: netcdf Contains time information. tzinfo: tzinfo Timezone information. Returns - ======= + ------- pandas.DatetimeIndex - """ + ''' self.time = pd.DatetimeIndex(pd.Series(num2date(times[:].squeeze(), times.units)), tz=tzinfo) - def set_variable_units(self,data): - """ + def set_variable_units(self, data): + ''' Extracts variable unit information from netcdf data. Parameters - ========== + ---------- data: netcdf Contains queried variable information. - """ + ''' self.var_units = {} for var in self.variables: self.var_units[var] = data[self.data_labels[var]].units - def set_variable_stdnames(self,data): - """ + def set_variable_stdnames(self, data): + ''' Extracts standard names from netcdf data. Parameters - ========== + ---------- data: netcdf Contains queried variable information. - """ + ''' self.var_stdnames = {} for var in self.variables: try: @@ -294,117 +274,88 @@ def set_variable_stdnames(self,data): except AttributeError: self.var_stdnames[var] = var - def addRadiation(self,zenith): - """ - Calculates shortwave radiation values. + def calc_radiation(self, data, cloud_type='total_clouds', rad_funcs=None, args=None, keys=None): + ''' + Determines shortwave radiation values if they are missing from + the model data. Parameters - ========== + ---------- zenith: pd.daraSeries Solar zenith angle. - """ - self.zenith = np.array(zenith) - self.data['dni'] = self.direct_radiation() - self.data['dhi'] = self.diffuse_radiation() - self.data['ghi'] = self.diffuse_global_radiation() - for var in ['dni','dhi','ghi']: - self.var_units[var] = '$W m^{-2}$' - - def tao(self,cloud_type='total_clouds'): - """ - Calculates transmittance. - - Parameters - ========== - cloud_type: string - Cloud type used for calculating clear-sky coverage. - - Returns - ======= - value: float - Shortwave radiation transmittance. - """ - return (self.data[cloud_type]/100.0)*0.35+0.40 - - def air_mass(self): - """ - Calculates air mass number - - Returns - ======= - value: float - Transmittance factor for calculating shortwave radiation - """ - return 1.0/(np.cos(np.radians(self.zenith))+0.50572*(96.07995-self.zenith)**-1.6364) - - def direct_radiation(self): - """ - Calculates direct shortwave radiation - - Returns - ======= - value: float - Direct shortwave radiation. - """ - return self.sp0*self.tao()**self.air_mass() - - def diffuse_radiation(self): - """ - Calculates Diffuse shortwave radiation - - Returns - ======= - value: float - Diffuse shortwave radiation. - """ - return 0.3*(1.0-self.tao()**self.air_mass()*self.sp0*np.cos(np.radians(self.zenith))) - - def diffuse_global_radiation(self): - """ - Calculates total global diffuse shortwave radiation - - Returns - ======= - value: float - Total diffuse shortwave radiation. - """ - return self.diffuse_radiation() + self.direct_radiation()*np.cos(np.radians(self.zenith)) - - def cloudy_day_check(self): - """ - Determines if the sky is overcast. - - Returns - ======= - logical: bool - If the sky is overcast. - """ - sb = self.direct_radiation()*np.cos(np.radians(self.zenith)) - - return sb < 10 #w m**-2 - - # def cloudy_day_global_radiation(self,zenith): - # """ - # Calculates more accurate total shortwave radiation for ovecast days. - - # Returns - # ======= - # logical: bool - # If the sky is overcast. - # """ - # pass - - def convert_temperature(self): - """ + ''' + self.rad_type = {} + if not self.lbox: + cloud_prct = self.data[cloud_type] + self.location = pvlib.location.Location(self.latitude, self.longitude, tz=self.time.tzinfo) + solpos = pvlib.solarposition.get_solarposition(self.time, self.location) + self.zenith = np.array(solpos.zenith) + if rad_funcs == None: + for rad in ['dni','dhi','ghi']: + if rad in self.modelvariables: + self.data[var] = pd.Series(data[self.variables[var]][:].squeeze(), index=self.time) + self.rad_type[rad] = 'forecast' + else: + self.rad_type[rad] = 'liujordan' + if rad == 'dni': + self.data['dni'] = atmosphere.liujordan_dni(self.zenith, cloud_prct) + elif rad == 'dhi': + self.data['dhi'] = atmosphere.liujordan_dhi(self.zenith, cloud_prct) + elif rad == 'ghi': + self.data['ghi'] = atmosphere.liujordan_ghi(self.zenith, cloud_prct) + + elif rad_funcs == 'linear': + cs = pvlib.clearsky.ineichen(self.data.index, self.location),\ + # solarposition_method='nrel_numpy' + cs_scaled = cs.mul((100-self.data['total_clouds']) / 100, axis=0) + self.data['dni'] = cs + self.data['ghi'] = cs_scaled + self.rad_type['dni'] = 'linear' + self.rad_type['dhi'] = 'forecast' + self.rad_type['ghi'] = 'linear' + + else: + length = len(rad_funcs) + if any(len(lst) != length for lst in [args, keys]): + import warnings + warnings.warn('Radiation functions, arguments, and keys should be of equal length') + return + + for i in range(len(rad_funcs)): + self.data[keys[i]] = rad_funcs[i](*args[i]) + self.rad_type[keys[i]] = rad_funcs + + for var in ['dni', 'dhi', 'ghi']: + self.var_units[var] = '$W m^{-2}$' + + def convert_temperature(self, data): + ''' Converts Kelvin to celsius. - """ - for atemp in ['temperature','temperature_iso']: + ''' + if 'Temperature_isobaric' in self.queryvariables: + self.data['temperature'] = data['Temperature_isobaric'] + + for atemp in ['temperature']: if atemp in self.data.columns: self.data[atemp] -= 273.15 self.var_units[atemp] = 'C' + def calc_wind(self, data): + if not self.lbox: + if 'u-component_of_wind_isobaric' in self.queryvariables and \ + 'v-component_of_wind_isobaric' in self.queryvariables: + wind_data = np.sqrt(data['u-component_of_wind_isobaric'][:].squeeze()**2 + + data['v-component_of_wind_isobaric'][:].squeeze()**2) + self.wind_type = 'component' + else: + wind_data = [data['Wind_speed_gust_surface'][:].squeeze()] + self.wind_type = 'gust' + self.data['wind_speed'] = pd.Series(windData, index=self.time) + self.var_units['wind_speed'] = 'm/s' + + class GFS(ForecastModel): ''' @@ -429,23 +380,40 @@ class GFS(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self,res='Half',set_type='best'): + + def __init__(self, res='half', set_type='best'): model_type = 'Forecast Model Data' - model = 'GFS '+res+' Degree Forecast' - variables = ['Temperature_isobaric', - 'Wind_speed_gust_surface', - 'Pressure_surface', - 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',] - cols = super(GFS, self).columns - idx = [1,3,4,5,6,7,8,9,10] - data_labels = dict(zip(cols[idx],variables)) - super(GFS, self).__init__(model_type,model,data_labels,set_type,calcWind=True) + if res == 'half': + model = 'GFS Half Degree Forecast' + elif res == 'quarter': + model = 'GFS Quarter Degree Forecast' + self.variables = { + # 'temperature':'Temperature', + 'temperature_iso':'Temperature_isobaric', + 'wind_speed_gust':'Wind_speed_gust_surface', + 'wind_speed_u':'u-component_of_wind_isobaric', + 'wind_speed_v':'v-component_of_wind_isobaric', + 'pressure':'Pressure_surface', + 'total_clouds':'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'low_clouds':'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'mid_clouds':'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', + 'high_clouds':'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'boundary_clouds':'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'convect_clouds':'Total_cloud_cover_convective_cloud', + 'ghi':'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',} + self.modelvariables = self.variables.keys() + self.queryvariables = [self.variables[key] for key in self.modelvariables] + self.dataframe_variables = ['pressure', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'boundary_clouds', + 'convect_clouds', + 'ghi',] + super(GFS, self).__init__(model_type, model, set_type) + + # def map_data(self): class HRRR_ESRL(ForecastModel): @@ -473,7 +441,8 @@ class HRRR_ESRL(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self,set_type='best'): + + def __init__(self, set_type='best'): import warnings warnings.warn('HRRR_ESRL is an experimental model and is not always available.') model_type = 'Forecast Model Data' @@ -490,7 +459,7 @@ def __init__(self,set_type='best'): cols = super(HRRR_ESRL, self).columns idx = [0,3,4,5,6,7,8,11] data_labels = dict(zip(cols[idx],variables)) - super(HRRR_ESRL, self).__init__(model_type,model,data_labels,set_type) + super(HRRR_ESRL, self).__init__(model_type, model, data_labels, set_type) @@ -520,6 +489,7 @@ class NAM(ForecastModel): Names of default variables specific to the model. ''' + def __init__(self,set_type='best'): model_type = 'Forecast Model Data' model = 'NAM CONUS 12km from CONDUIT' @@ -536,8 +506,8 @@ def __init__(self,set_type='best'): 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',] cols = super(NAM, self).columns idx = [0,1,3,4,5,6,7,8,11,12] - data_labels = dict(zip(cols[idx],variables)) - super(NAM, self).__init__(model_type,model,data_labels,set_type) + data_labels = dict(zip(cols[idx], variables)) + super(NAM, self).__init__(model_type, model, data_labels, set_type) class HRRR(ForecastModel): @@ -564,7 +534,8 @@ class HRRR(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self,set_type='best'): + + def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'NCEP HRRR CONUS 2.5km' description = '' @@ -579,7 +550,7 @@ def __init__(self,set_type='best'): cols = super(HRRR, self).columns idx = [0,1,3,4,5,6,7,8] data_labels = dict(zip(cols[idx],variables)) - super(HRRR, self).__init__(model_type,model,data_labels,set_type,calcWind=True) + super(HRRR, self).__init__(model_type, model, data_labels, set_type) class NDFD(ForecastModel): @@ -606,7 +577,7 @@ class NDFD(ForecastModel): ''' - def __init__(self,set_type='best'): + def __init__(self, set_type='best'): model_type = 'Forecast Products and Analyses' model = 'National Weather Service CONUS Forecast Grids (CONDUIT)' description = '' @@ -617,7 +588,7 @@ def __init__(self,set_type='best'): cols = super(NDFD, self).columns idx = [0,2,3,5] data_labels = dict(zip(cols[idx],variables)) - super(NDFD, self).__init__(model_type,model,data_labels,set_type,calcWind=False) + super(NDFD, self).__init__(model_type, model, data_labels, set_type) class RAP(ForecastModel): @@ -644,7 +615,8 @@ class RAP(ForecastModel): Names of default variables specific to the model. ''' - def __init__(self,set_type='best'): + + def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'Rapid Refresh CONUS 20km' description = '' @@ -657,5 +629,5 @@ def __init__(self,set_type='best'): 'High_cloud_cover_high_cloud',] cols = super(RAP, self).columns idx = [0,3,4,5,6,7,8] - data_labels = dict(zip(cols[idx],variables)) - super(RAP, self).__init__(model_type,model,data_labels,set_type,calcWind=True) + data_labels = dict(zip(cols[idx], variables)) + super(RAP, self).__init__(model_type, model, data_labels, set_type) diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index 4c03e16ba5..b1dae0eecc 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -17,6 +17,7 @@ from pvlib import tools from pvlib import solarposition +from pvlib import atmosphere SURFACE_ALBEDOS = {'urban': 0.18, 'grass': 0.20, @@ -1905,3 +1906,104 @@ def _get_dirint_coeffs(): return coeffs[1:,1:,:,:] +def liujordan_dni(zenith, cloud_prct, pressure=101325.): + ''' + Determine DNI from extraterrestrial flux, transmittance, and optical + air mass number. + + Liu and Jordan, 1960, developed a simplified direct radiation model. + + Parameters + ---------- + zenith : pd.Series + True (not refraction-corrected) zenith angles in decimal + degrees. If Z is a vector it must be of the same size as + all other vector inputs. Z must be >=0 and <=180. + + cloud_prct : integer or float + Cloud coverage in percentage, %. + + Returns + ------- + dni : pd.Series. + The modeled direct normal irradiance in W/m^2 provided by the + Liu and Jordan model. + + References + ---------- + [1] Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and + characteristic distribution of direct, diffuse, and total solar + radiation". Solar Energy 4:1-19 + ''' + + dni_extra = 1367.0 # W m^-2 + tao = atmosphere.transmittance(zenith, cloud_prct) + airmass_relative = atmosphere.relativeairmass(zenith) + airmass = absoluteairmass(airmass_relative, pressure=pressure) + + return dni_extra*tao**airmass + + +def liujordan_dhi(zenith, cloud_prct, pressure=101325.): + ''' + Determine DHI from extraterrestrial flux, transmittance, and optical + air mass number. + + Empirical equation for diffuse radiation from Liu and Jordan, 1960. + + Parameters + ---------- + zenith : pd.Series + True (not refraction-corrected) zenith angles in decimal + degrees. If Z is a vector it must be of the same size as + all other vector inputs. Z must be >=0 and <=180. + + Returns + ------- + dni : pd.Series. + The modeled direct normal irradiance in W/m^2 provided by the + Liu and Jordan model. + + References + ---------- + [1] Campbell, G. S., J. M. Norman (1998) An Introduction to + Environmental Biophysics. 2nd Ed. New York: Springer. + + [2] Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and + characteristic distribution of direct, diffuse, and total solar + radiation". Solar Energy 4:1-19 + ''' + + dni_extra = 1367.0 # W m^-2 + tao = atmosphere.transmittance(zenith, cloud_prct) + airmass_relative = atmosphere.relativeairmass(zenith) + airmass = absoluteairmass(airmass_relative, pressure=pressure) + + return 0.3 * (1.0 - tao**airmass * dni_extra * np.cos(np.radians(zenith))) + + +def liujordan_ghi(zenith, cloud_prct, times, pressure=101325.): + ''' + Determine GHI from balance of DNI and DHI. + + Parameters + ---------- + zenith : pd.Series + True (not refraction-corrected) zenith angles in decimal + degrees. If Z is a vector it must be of the same size as + all other vector inputs. Z must be >=0 and <=180. + + Returns + ------- + dni : pd.Series. + The modeled direct normal irradiance in W/m^2 provided by the + Liu and Jordan model. + + References + ---------- + [1] Campbell, G. S., J. M. Norman (1998) An Introduction to + Environmental Biophysics. 2nd Ed. New York: Springer. + ''' + + return liujordan_dhi(zenith,cloud_prct,pressure) + \ + liujordan_dni(zenith,cloud_prct,pressure) * np.cos(np.radians(zenith)) \ No newline at end of file From 9595e0c3fe1ff343930d70a8dc4cfe3e44fa0088 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Thu, 10 Dec 2015 23:40:09 -0700 Subject: [PATCH 23/88] Updated forecast.py, fixes to solarposition.py, tools.py --- .../notebooks/forecast_to_power.ipynb | 589 +++++++++++------- pvlib/atmosphere.py | 3 +- pvlib/forecast.py | 328 ++++++---- pvlib/irradiance.py | 10 +- pvlib/solarposition.py | 3 + pvlib/tools.py | 7 +- 6 files changed, 578 insertions(+), 362 deletions(-) diff --git a/docs/tutorials/notebooks/forecast_to_power.ipynb b/docs/tutorials/notebooks/forecast_to_power.ipynb index 64f954836f..fdc05c804c 100644 --- a/docs/tutorials/notebooks/forecast_to_power.ipynb +++ b/docs/tutorials/notebooks/forecast_to_power.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 6, "metadata": { "collapsed": false }, @@ -89,19 +89,21 @@ "source": [ "pvlib forecast module only includes several models. To see the full list of forecast models visit the Unidata website:\n", "\n", - "http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/by_state_and_city.html" + "http://www.unidata.ucar.edu/data/#tds" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# Choose a location.\n", - "location = [32.2,-110.9] # Tucson, AZ\n", + "# Tucson, AZ\n", + "latitude = 32.2\n", + "longitude = -110.9\n", "tz = 'US/Arizona'" ] }, @@ -114,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "metadata": { "collapsed": false }, @@ -123,7 +125,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Tucson: latitude=32.2, longitude=-110.9, tz=US/Arizona, altitude=7.0\n" + "Tucson: latitude=32.2, longitude=-110.9, tz=US/Arizona, altitude=100\n" ] } ], @@ -133,13 +135,15 @@ "albedo = 0.2\n", "\n", "# create pvlib Location object based on meta data\n", - "sand_point = pvlib.location.Location(location[0], location[1], altitude=7.0, name='Tucson',tz=tz)\n", - "print(sand_point)" + "a_point = pvlib.location.Location(latitude, longitude, name='Tucson', tz=tz)\n", + "#tz = a_point.tz\n", + "#tz = 'GMT'\n", + "print(a_point)" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 9, "metadata": { "collapsed": false }, @@ -152,7 +156,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 10, "metadata": { "collapsed": true }, @@ -164,36 +168,132 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 11, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DatetimeIndex(['2015-12-11 03:00:00-07:00', '2015-12-11 06:00:00-07:00',\n", + " '2015-12-11 09:00:00-07:00', '2015-12-11 12:00:00-07:00',\n", + " '2015-12-11 15:00:00-07:00', '2015-12-11 18:00:00-07:00',\n", + " '2015-12-11 21:00:00-07:00', '2015-12-12 00:00:00-07:00',\n", + " '2015-12-12 03:00:00-07:00', '2015-12-12 06:00:00-07:00',\n", + " '2015-12-12 09:00:00-07:00', '2015-12-12 12:00:00-07:00',\n", + " '2015-12-12 15:00:00-07:00', '2015-12-12 18:00:00-07:00',\n", + " '2015-12-12 21:00:00-07:00', '2015-12-13 00:00:00-07:00',\n", + " '2015-12-13 03:00:00-07:00', '2015-12-13 06:00:00-07:00',\n", + " '2015-12-13 09:00:00-07:00', '2015-12-13 12:00:00-07:00',\n", + " '2015-12-13 15:00:00-07:00', '2015-12-13 18:00:00-07:00',\n", + " '2015-12-13 21:00:00-07:00', '2015-12-14 00:00:00-07:00',\n", + " '2015-12-14 03:00:00-07:00', '2015-12-14 06:00:00-07:00',\n", + " '2015-12-14 09:00:00-07:00', '2015-12-14 12:00:00-07:00',\n", + " '2015-12-14 15:00:00-07:00', '2015-12-14 18:00:00-07:00',\n", + " '2015-12-14 21:00:00-07:00', '2015-12-15 00:00:00-07:00',\n", + " '2015-12-15 03:00:00-07:00', '2015-12-15 06:00:00-07:00',\n", + " '2015-12-15 09:00:00-07:00', '2015-12-15 12:00:00-07:00',\n", + " '2015-12-15 15:00:00-07:00', '2015-12-15 18:00:00-07:00',\n", + " '2015-12-15 21:00:00-07:00', '2015-12-16 00:00:00-07:00',\n", + " '2015-12-16 03:00:00-07:00', '2015-12-16 06:00:00-07:00',\n", + " '2015-12-16 09:00:00-07:00', '2015-12-16 12:00:00-07:00',\n", + " '2015-12-16 15:00:00-07:00', '2015-12-16 18:00:00-07:00',\n", + " '2015-12-16 21:00:00-07:00', '2015-12-17 00:00:00-07:00',\n", + " '2015-12-17 03:00:00-07:00', '2015-12-17 06:00:00-07:00',\n", + " '2015-12-17 09:00:00-07:00', '2015-12-17 12:00:00-07:00',\n", + " '2015-12-17 15:00:00-07:00', '2015-12-17 18:00:00-07:00',\n", + " '2015-12-17 21:00:00-07:00', '2015-12-18 00:00:00-07:00'],\n", + " dtype='datetime64[ns]', freq=None, tz='US/Arizona')\n", + "converting to UTC\n", + "localized time (UTC)\n", + "converting to UTC\n", + "DatetimeIndex(['2015-12-11 03:00:00', '2015-12-11 06:00:00',\n", + " '2015-12-11 09:00:00', '2015-12-11 12:00:00',\n", + " '2015-12-11 15:00:00', '2015-12-11 18:00:00',\n", + " '2015-12-11 21:00:00', '2015-12-12 00:00:00',\n", + " '2015-12-12 03:00:00', '2015-12-12 06:00:00',\n", + " '2015-12-12 09:00:00', '2015-12-12 12:00:00',\n", + " '2015-12-12 15:00:00', '2015-12-12 18:00:00',\n", + " '2015-12-12 21:00:00', '2015-12-13 00:00:00',\n", + " '2015-12-13 03:00:00', '2015-12-13 06:00:00',\n", + " '2015-12-13 09:00:00', '2015-12-13 12:00:00',\n", + " '2015-12-13 15:00:00', '2015-12-13 18:00:00',\n", + " '2015-12-13 21:00:00', '2015-12-14 00:00:00',\n", + " '2015-12-14 03:00:00', '2015-12-14 06:00:00',\n", + " '2015-12-14 09:00:00', '2015-12-14 12:00:00',\n", + " '2015-12-14 15:00:00', '2015-12-14 18:00:00',\n", + " '2015-12-14 21:00:00', '2015-12-15 00:00:00',\n", + " '2015-12-15 03:00:00', '2015-12-15 06:00:00',\n", + " '2015-12-15 09:00:00', '2015-12-15 12:00:00',\n", + " '2015-12-15 15:00:00', '2015-12-15 18:00:00',\n", + " '2015-12-15 21:00:00', '2015-12-16 00:00:00',\n", + " '2015-12-16 03:00:00', '2015-12-16 06:00:00',\n", + " '2015-12-16 09:00:00', '2015-12-16 12:00:00',\n", + " '2015-12-16 15:00:00', '2015-12-16 18:00:00',\n", + " '2015-12-16 21:00:00', '2015-12-17 00:00:00',\n", + " '2015-12-17 03:00:00', '2015-12-17 06:00:00',\n", + " '2015-12-17 09:00:00', '2015-12-17 12:00:00',\n", + " '2015-12-17 15:00:00', '2015-12-17 18:00:00',\n", + " '2015-12-17 21:00:00', '2015-12-18 00:00:00'],\n", + " dtype='datetime64[ns]', freq=None, tz=None)\n" + ] + } + ], "source": [ "# Retrieve data\n", - "forecast_data = fm.get_query_data(location,timerange)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "solpos = pvlib.solarposition.get_solarposition(fm.time, sand_point)" + "forecast_data = fm.get_query_data(latitude,longitude,timerange)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 12, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "converting to UTC\n", + "localized time (UTC)\n", + "converting to UTC\n", + "DatetimeIndex(['2015-12-11 03:00:00', '2015-12-11 06:00:00',\n", + " '2015-12-11 09:00:00', '2015-12-11 12:00:00',\n", + " '2015-12-11 15:00:00', '2015-12-11 18:00:00',\n", + " '2015-12-11 21:00:00', '2015-12-12 00:00:00',\n", + " '2015-12-12 03:00:00', '2015-12-12 06:00:00',\n", + " '2015-12-12 09:00:00', '2015-12-12 12:00:00',\n", + " '2015-12-12 15:00:00', '2015-12-12 18:00:00',\n", + " '2015-12-12 21:00:00', '2015-12-13 00:00:00',\n", + " '2015-12-13 03:00:00', '2015-12-13 06:00:00',\n", + " '2015-12-13 09:00:00', '2015-12-13 12:00:00',\n", + " '2015-12-13 15:00:00', '2015-12-13 18:00:00',\n", + " '2015-12-13 21:00:00', '2015-12-14 00:00:00',\n", + " '2015-12-14 03:00:00', '2015-12-14 06:00:00',\n", + " '2015-12-14 09:00:00', '2015-12-14 12:00:00',\n", + " '2015-12-14 15:00:00', '2015-12-14 18:00:00',\n", + " '2015-12-14 21:00:00', '2015-12-15 00:00:00',\n", + " '2015-12-15 03:00:00', '2015-12-15 06:00:00',\n", + " '2015-12-15 09:00:00', '2015-12-15 12:00:00',\n", + " '2015-12-15 15:00:00', '2015-12-15 18:00:00',\n", + " '2015-12-15 21:00:00', '2015-12-16 00:00:00',\n", + " '2015-12-16 03:00:00', '2015-12-16 06:00:00',\n", + " '2015-12-16 09:00:00', '2015-12-16 12:00:00',\n", + " '2015-12-16 15:00:00', '2015-12-16 18:00:00',\n", + " '2015-12-16 21:00:00', '2015-12-17 00:00:00',\n", + " '2015-12-17 03:00:00', '2015-12-17 06:00:00',\n", + " '2015-12-17 09:00:00', '2015-12-17 12:00:00',\n", + " '2015-12-17 15:00:00', '2015-12-17 18:00:00',\n", + " '2015-12-17 21:00:00', '2015-12-18 00:00:00'],\n", + " dtype='datetime64[ns]', freq=None, tz=None)\n" + ] + } + ], "source": [ - "fm.addRadiation(solpos.zenith)" + "solpos = pvlib.solarposition.get_solarposition(fm.time, a_point)" ] }, { @@ -205,7 +305,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 13, "metadata": { "collapsed": false }, @@ -219,18 +319,12 @@ " \n", " \n", " temperature\n", - " temperature_iso\n", " wind_speed\n", - " wind_speed_gust\n", " pressure\n", " total_clouds\n", " low_clouds\n", " mid_clouds\n", " high_clouds\n", - " boundary_clouds\n", - " convect_clouds\n", - " downward_shortwave_radflux\n", - " downward_shortwave_radflux_avg\n", " dni\n", " dhi\n", " ghi\n", @@ -238,156 +332,98 @@ " \n", " \n", " \n", - " 2015-11-21 00:00:00-07:00\n", + " 2015-12-11 03:00:00-07:00\n", + " 12.750000\n", + " 2.751163\n", " NaN\n", - " 26.450012\n", - " 3.663564\n", - " 3.6\n", - " 90880.203125\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 84\n", " 0\n", " 0\n", + " 84\n", " NaN\n", " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 0\n", " \n", " \n", - " 2015-11-21 03:00:00-07:00\n", + " 2015-12-11 06:00:00-07:00\n", + " 12.450012\n", + " 4.710085\n", " NaN\n", - " 24.149994\n", - " 1.636246\n", - " 1.6\n", - " 91025.000000\n", - " 0\n", + " 76\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " 0\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 76\n", " NaN\n", " NaN\n", + " 0\n", " \n", " \n", - " 2015-11-21 06:00:00-07:00\n", + " 2015-12-11 09:00:00-07:00\n", + " 11.450012\n", + " 5.164310\n", " NaN\n", - " 23.550018\n", - " 1.127209\n", - " 1.1\n", - " 91089.484375\n", - " 0\n", - " 0\n", + " 50\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 50\n", " NaN\n", " NaN\n", + " 0\n", " \n", " \n", - " 2015-11-21 09:00:00-07:00\n", + " 2015-12-11 12:00:00-07:00\n", + " 10.149994\n", + " 4.769444\n", " NaN\n", - " 23.050018\n", - " 1.963696\n", - " 2.0\n", - " 91085.210938\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 57\n", " 0\n", " 0\n", + " 57\n", " NaN\n", " NaN\n", - " 106.823313\n", - " 135.019364\n", - " 173.170670\n", + " 0\n", " \n", " \n", - " 2015-11-21 12:00:00-07:00\n", + " 2015-12-11 15:00:00-07:00\n", + " 11.950012\n", + " 5.694805\n", " NaN\n", - " 20.950012\n", - " 4.566005\n", - " 4.5\n", - " 91075.539062\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 84\n", " 0\n", " 0\n", - " NaN\n", - " NaN\n", - " 307.189787\n", - " 194.811046\n", - " 383.033312\n", + " 84\n", + " 0.00029\n", + " 53.6862\n", + " 10\n", " \n", " \n", "\n", "" ], "text/plain": [ - " temperature temperature_iso wind_speed \\\n", - "2015-11-21 00:00:00-07:00 NaN 26.450012 3.663564 \n", - "2015-11-21 03:00:00-07:00 NaN 24.149994 1.636246 \n", - "2015-11-21 06:00:00-07:00 NaN 23.550018 1.127209 \n", - "2015-11-21 09:00:00-07:00 NaN 23.050018 1.963696 \n", - "2015-11-21 12:00:00-07:00 NaN 20.950012 4.566005 \n", - "\n", - " wind_speed_gust pressure total_clouds \\\n", - "2015-11-21 00:00:00-07:00 3.6 90880.203125 0 \n", - "2015-11-21 03:00:00-07:00 1.6 91025.000000 0 \n", - "2015-11-21 06:00:00-07:00 1.1 91089.484375 0 \n", - "2015-11-21 09:00:00-07:00 2.0 91085.210938 0 \n", - "2015-11-21 12:00:00-07:00 4.5 91075.539062 0 \n", - "\n", - " low_clouds mid_clouds high_clouds \\\n", - "2015-11-21 00:00:00-07:00 0 0 0 \n", - "2015-11-21 03:00:00-07:00 0 0 0 \n", - "2015-11-21 06:00:00-07:00 0 0 0 \n", - "2015-11-21 09:00:00-07:00 0 0 0 \n", - "2015-11-21 12:00:00-07:00 0 0 0 \n", + " temperature wind_speed pressure total_clouds \\\n", + "2015-12-11 03:00:00-07:00 12.750000 2.751163 NaN 84 \n", + "2015-12-11 06:00:00-07:00 12.450012 4.710085 NaN 76 \n", + "2015-12-11 09:00:00-07:00 11.450012 5.164310 NaN 50 \n", + "2015-12-11 12:00:00-07:00 10.149994 4.769444 NaN 57 \n", + "2015-12-11 15:00:00-07:00 11.950012 5.694805 NaN 84 \n", "\n", - " boundary_clouds convect_clouds \\\n", - "2015-11-21 00:00:00-07:00 0 0 \n", - "2015-11-21 03:00:00-07:00 0 0 \n", - "2015-11-21 06:00:00-07:00 0 0 \n", - "2015-11-21 09:00:00-07:00 0 0 \n", - "2015-11-21 12:00:00-07:00 0 0 \n", + " low_clouds mid_clouds high_clouds dni \\\n", + "2015-12-11 03:00:00-07:00 0 0 84 NaN \n", + "2015-12-11 06:00:00-07:00 0 0 76 NaN \n", + "2015-12-11 09:00:00-07:00 0 0 50 NaN \n", + "2015-12-11 12:00:00-07:00 0 0 57 NaN \n", + "2015-12-11 15:00:00-07:00 0 0 84 0.00029 \n", "\n", - " downward_shortwave_radflux \\\n", - "2015-11-21 00:00:00-07:00 NaN \n", - "2015-11-21 03:00:00-07:00 NaN \n", - "2015-11-21 06:00:00-07:00 NaN \n", - "2015-11-21 09:00:00-07:00 NaN \n", - "2015-11-21 12:00:00-07:00 NaN \n", - "\n", - " downward_shortwave_radflux_avg dni \\\n", - "2015-11-21 00:00:00-07:00 NaN NaN \n", - "2015-11-21 03:00:00-07:00 NaN NaN \n", - "2015-11-21 06:00:00-07:00 NaN NaN \n", - "2015-11-21 09:00:00-07:00 NaN 106.823313 \n", - "2015-11-21 12:00:00-07:00 NaN 307.189787 \n", - "\n", - " dhi ghi \n", - "2015-11-21 00:00:00-07:00 NaN NaN \n", - "2015-11-21 03:00:00-07:00 NaN NaN \n", - "2015-11-21 06:00:00-07:00 NaN NaN \n", - "2015-11-21 09:00:00-07:00 135.019364 173.170670 \n", - "2015-11-21 12:00:00-07:00 194.811046 383.033312 " + " dhi ghi \n", + "2015-12-11 03:00:00-07:00 NaN 0 \n", + "2015-12-11 06:00:00-07:00 NaN 0 \n", + "2015-12-11 09:00:00-07:00 NaN 0 \n", + "2015-12-11 12:00:00-07:00 NaN 0 \n", + "2015-12-11 15:00:00-07:00 53.6862 10 " ] }, - "execution_count": 9, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -405,13 +441,13 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "temperature = forecast_data['temperature_iso']\n", + "temperature = forecast_data['temperature']\n", "wnd_spd = forecast_data['wind_speed']" ] }, @@ -424,7 +460,58 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DatetimeIndex(['2015-12-10 20:00:00', '2015-12-10 23:00:00',\n", + " '2015-12-11 02:00:00', '2015-12-11 05:00:00',\n", + " '2015-12-11 08:00:00', '2015-12-11 11:00:00',\n", + " '2015-12-11 14:00:00', '2015-12-11 17:00:00',\n", + " '2015-12-11 20:00:00', '2015-12-11 23:00:00',\n", + " '2015-12-12 02:00:00', '2015-12-12 05:00:00',\n", + " '2015-12-12 08:00:00', '2015-12-12 11:00:00',\n", + " '2015-12-12 14:00:00', '2015-12-12 17:00:00',\n", + " '2015-12-12 20:00:00', '2015-12-12 23:00:00',\n", + " '2015-12-13 02:00:00', '2015-12-13 05:00:00',\n", + " '2015-12-13 08:00:00', '2015-12-13 11:00:00',\n", + " '2015-12-13 14:00:00', '2015-12-13 17:00:00',\n", + " '2015-12-13 20:00:00', '2015-12-13 23:00:00',\n", + " '2015-12-14 02:00:00', '2015-12-14 05:00:00',\n", + " '2015-12-14 08:00:00', '2015-12-14 11:00:00',\n", + " '2015-12-14 14:00:00', '2015-12-14 17:00:00',\n", + " '2015-12-14 20:00:00', '2015-12-14 23:00:00',\n", + " '2015-12-15 02:00:00', '2015-12-15 05:00:00',\n", + " '2015-12-15 08:00:00', '2015-12-15 11:00:00',\n", + " '2015-12-15 14:00:00', '2015-12-15 17:00:00',\n", + " '2015-12-15 20:00:00', '2015-12-15 23:00:00',\n", + " '2015-12-16 02:00:00', '2015-12-16 05:00:00',\n", + " '2015-12-16 08:00:00', '2015-12-16 11:00:00',\n", + " '2015-12-16 14:00:00', '2015-12-16 17:00:00',\n", + " '2015-12-16 20:00:00', '2015-12-16 23:00:00',\n", + " '2015-12-17 02:00:00', '2015-12-17 05:00:00',\n", + " '2015-12-17 08:00:00', '2015-12-17 11:00:00',\n", + " '2015-12-17 14:00:00', '2015-12-17 17:00:00'],\n", + " dtype='datetime64[ns]', freq=None, tz=None)\n" + ] + } + ], + "source": [ + "plotTime = fm.time.tz_localize(None)\n", + "plotTime = plotTime.tz_localize('UTC')\n", + "plotTime = plotTime.tz_convert(fm.time.tz)\n", + "plotTime = plotTime.tz_localize(None)\n", + "print(plotTime)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, "metadata": { "collapsed": false }, @@ -432,18 +519,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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pYliYNe30BEs+q3BjpmDeZsowGzOBRhBfrlqYEXpVdCq/HIXnhJ7xp1mXa6jb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\nvRZcLhcAsABXsSHPhIdX6Ya/LvT7/YiLi0NzczPMZjO0Wm2fXqZ9+/b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5q1fdeWRkIB7kpXW0Vrenyp1HOPa4aWq2+amQthhP+VMHKNdot3IQr/QM4Xeh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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -452,7 +539,8 @@ ], "source": [ "ghi = forecast_data['ghi']\n", - "ghi.plot()\n", + "#ghi.plot()\n", + "plt.plot(plotTime,ghi)\n", "plt.ylabel('Irradiance ($W/m^{-2}$)')" ] }, @@ -494,26 +582,64 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 20, "metadata": { "collapsed": false }, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "converting to UTC\n", + "localized time\n", + "converting to UTC\n", + "DatetimeIndex(['2015-12-11 03:00:00+00:00', '2015-12-11 06:00:00+00:00',\n", + " '2015-12-11 09:00:00+00:00', '2015-12-11 12:00:00+00:00',\n", + " '2015-12-11 15:00:00+00:00', '2015-12-11 18:00:00+00:00',\n", + " '2015-12-11 21:00:00+00:00', '2015-12-12 00:00:00+00:00',\n", + " '2015-12-12 03:00:00+00:00', '2015-12-12 06:00:00+00:00',\n", + " '2015-12-12 09:00:00+00:00', '2015-12-12 12:00:00+00:00',\n", + " '2015-12-12 15:00:00+00:00', '2015-12-12 18:00:00+00:00',\n", + " '2015-12-12 21:00:00+00:00', '2015-12-13 00:00:00+00:00',\n", + " '2015-12-13 03:00:00+00:00', '2015-12-13 06:00:00+00:00',\n", + " '2015-12-13 09:00:00+00:00', '2015-12-13 12:00:00+00:00',\n", + " '2015-12-13 15:00:00+00:00', '2015-12-13 18:00:00+00:00',\n", + " '2015-12-13 21:00:00+00:00', '2015-12-14 00:00:00+00:00',\n", + " '2015-12-14 03:00:00+00:00', '2015-12-14 06:00:00+00:00',\n", + " '2015-12-14 09:00:00+00:00', '2015-12-14 12:00:00+00:00',\n", + " '2015-12-14 15:00:00+00:00', '2015-12-14 18:00:00+00:00',\n", + " '2015-12-14 21:00:00+00:00', '2015-12-15 00:00:00+00:00',\n", + " '2015-12-15 03:00:00+00:00', '2015-12-15 06:00:00+00:00',\n", + " '2015-12-15 09:00:00+00:00', '2015-12-15 12:00:00+00:00',\n", + " '2015-12-15 15:00:00+00:00', '2015-12-15 18:00:00+00:00',\n", + " '2015-12-15 21:00:00+00:00', '2015-12-16 00:00:00+00:00',\n", + " '2015-12-16 03:00:00+00:00', '2015-12-16 06:00:00+00:00',\n", + " '2015-12-16 09:00:00+00:00', '2015-12-16 12:00:00+00:00',\n", + " '2015-12-16 15:00:00+00:00', '2015-12-16 18:00:00+00:00',\n", + " '2015-12-16 21:00:00+00:00', '2015-12-17 00:00:00+00:00',\n", + " '2015-12-17 03:00:00+00:00', '2015-12-17 06:00:00+00:00',\n", + " '2015-12-17 09:00:00+00:00', '2015-12-17 12:00:00+00:00',\n", + " '2015-12-17 15:00:00+00:00', '2015-12-17 18:00:00+00:00',\n", + " '2015-12-17 21:00:00+00:00', '2015-12-18 00:00:00+00:00'],\n", + " dtype='datetime64[ns]', freq=None, tz='UTC')\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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LMvfff3+zRZluJJHz5Bdaag3tTV3emUiF8CWKomDKykIdH482Na3F90uGWBH+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3cE5FhfWboKUe6j15XEhc7mgBxzPjQOdNM4FKfcbIu0f7M1JaeQuGPnrF04psNqMrMu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\n8nyVmc235Ks6jkBjjjKS7bXK26fxavgXJ8JLDuTP7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MgDzIkkA/VJBp5BclCf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\nhAshhBBCCOFmMgkXQgghhBDCzf4fNXuN7fJE0PkAAAAASUVORK5CYII=\n", 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oOiUnk5EetND/8YoDbbfbeeGFF0hKSsJmszF9+nQaN27Mo48+SqtWrQCYOnUq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\nwgnSQAshhBBCCOGE/w+wZ+LdkoeFOAAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -521,7 +647,7 @@ } ], "source": [ - "solpos = pvlib.solarposition.get_solarposition(fm.time, sand_point)\n", + "solpos = pvlib.solarposition.get_solarposition(fm.time, a_point)\n", "\n", "solpos.plot()" ] @@ -544,7 +670,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 21, "metadata": { "collapsed": false }, @@ -552,18 +678,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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69tlnJUmpqak6deqUUlNTNWvWLE2ePFlOp1NjxoxRq1at3PVUAMAUu7OLJEkT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\nLNEnn3yixMRE/fSnP9WoUaNcc5PJwL2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vAwAAcLk2Z+apsKRK/TrFKsCf877g+1wq1xMmTNDOnTv1+eefq6qq6rzv4+fnpz59+ng0\nHAAAaNw+25QtSRrEiYyoJ1xaFjJ58mRJUnV1tb7++msFBQVp4MCBXg0GAAAatxNlVdqUcViJ0aFq\nHWc1Og7gEpeOXH/33XeSJH9/f6Wlpalr16769NNPlZGR4dVwAACg8dqw/bBqbA4N6pYgk4m9rVE/\nuHTk+qmnnlK3bt10/PhxFRYWqrCwUEVFRcrPz9c111yj+fPnezsnAABoRBwOh77elis/i0n9O8ca\nHQdwmUvlOjw8XE2aNFFRUZFuu+02NW3aVOHh4YqMjFRwMPtNAgAAz9qXW6ycglJd0T1B1pAAo+MA\nLnOpXD/55JOKiYnRsWPH9Mknn8jPz08dO3b0djYAANBIfb3tkCRpRN+WBicB3OPSmuvc3JObtzdt\n2lSTJ09WkyZN9Je//EVZWVleDQcAABqfymqbNv54RJHWQKW2izE6DuAWl45cz549W+3atZPD4Tjj\n9r///e8aPXq0Hn30UW9kAwAAjdC3O/NUUWXTVb1byGLmREbULy6V69jYWPXo0UNNmjRRZGSkIiIi\nFB4ervDwcEVERHg7IwAAaEROXe78Sva2Rj3kUrmeP3++EhMTvZ0FAAA0ckeOlynzQKE6tIxQTASb\nJqD+cWnNdXR09CXfp7KystZhAABA43bqqPWg7gkGJwEuj0vl+v7779fbb7+tkpKSc+4rKSnRP/7x\nD82aNcvj4QAAQONhs9u17odcBQf6qVe7Sx/YA3yRS8tCFi1apDfffFPjx4+X1WpVXFycLBaLDh06\npOPHj+vmm2/WH//4R29nBQAADVjGvmMqLKnSsB7NFeBvMToOcFlcKtcWi0U33XSTpkyZop07d2r/\n/v2yWCxq2bKl2rdvzyVJAQBArX29lRMZUf+5VK5PMZlM6tixIxeQAQA0atmHi/XaxztVY7MbHaVB\nOVRQpsToMLWOsxodBbhsbpVrAAAg/WdjtvYfLlZIoJ/4463nhAb7acyAVvxFHPUa5RoAADeUV9Zo\n8+4CxTYN0f/+Tz+KIIAzuFWuq6urtXbtWhUVFTmv1mgymTRu3LjLDrB161Y9++yzev3118+4/dVX\nX9U777yjyMhISdLjjz+upKSky/48AAB4wreZeaqusWtg51iKNYBzuFWu77vvPuXm5qpNmzZn/EC5\n3HL917/+VR988IFCQ0PPuS8jI0NPP/20OnXqdFmPDQCAN3yz/bAkaUDnOIOTAPBFbpXrXbt26T//\n+Y/HXqm3atVKL774oh544IFz7svIyNCSJUtUUFCgoUOHavr06R75nAAAXK6ConLt/KlQ7VpEKIqr\nBwI4D7fKdZs2bZSXl6fY2FiPfPKrr75aBw8ePO99Y8aM0ZQpUxQaGqoZM2Zo1apVGjp06EUfLzIy\nRH5+tdsXMzqaM5SNxgx8A3MwHjMw3tkz+OrnreKu7t+a+dQhvtfGYwauc6tcl5eXa9SoUWrXrp0C\nAgIknVxzvXTpUo8Hu+WWWxQWFiZJGjJkiH788cdLluvjx8tq9Tmjo63Kzy+u1WOgdpiBb2AOxmMG\nxjt7Bg6HQ59vypafxawOzZswnzrCc8F4zOBcF3ux4Va5vuOOO85ZEnLqxEZPKi4u1i9+8Qt99NFH\nCg4O1oYNGzR+/HiPfx4AAFy1/3Cxco+WqU+HGIUEsdkWgPNz66dDnz599Oabb2rDhg2qqalR//79\nNXXq1FqHOFXYV65cqbKyMk2cOFGzZs3SzTffrICAAA0cOFCDBw+u9ecBAOByrf/5RMaBXTiREcCF\nuVWun3nmGWVnZ+uGG26Qw+HQu+++q4MHD+rhhx++7ACJiYl66623JEljx4513n7ttdfq2muvvezH\nBQDAU2psdm388YisIf7qnNTU6DgAfJhb5Xrt2rV67733ZLGcPGlw6NChZxRiAAAaou17j6mkvFpX\n9U6Un8VsdBwAPsytnxB2u102m835ts1mk58f684AAA3b+u0ndwlhSQiAS3GrGf/iF7/Q1KlTNXbs\nWDkcDv373//WmDFjvJUNAADDlVZUa0vWUSVEhapVLNuRAbg4t8r1r3/9a3Xs2FEbNmyQw+HQnXfe\necnt8QAAqM/Sd+apxmbXAC53DsAFLpXruXPnat68eefsDJKRkaGXX37ZK/tcAwDgC77Zflgmcblz\nAK5xqVz/6le/kiTdc8895+xrzat4AEBDlVdYrt0Hi9SxVaSaNgkyOg6AesClct21a1dJ0uuvv64X\nXnjhjPtuueUW9e3b1/PJAAAw2Ab2tgbgJpfK9d13360dO3YoLy9PaWlpztttNpvi4+O9Fg4AAKM4\nHA6t335YAX5m9WwXbXQcAPWES+V6wYIFKioq0rx58/TII484l4b4+fkpKirKqwEBADBCZvZx5RWW\nq3/nWAUHsu0sANe49NPCarXKarVqyZIl3s4DAIBP+PK7A5KkgZzICMANbr0Ur6ys1OrVq1VWViaH\nwyGbzaacnBzNnDnTW/kAAKhz1TV2fb05R+GhAerYOtLoOADqEbfK9YwZM1RRUaHs7Gz16dNH6enp\nSk1N9VY2AAAMsW3PUZWUV2tk3xaymLncOQDXufUTY9++fVq6dKlGjBihadOmadmyZTpy5Ii3sgEA\nYIhTlztnb2sA7nKrXEdFRclkMik5OVmZmZmKjY1VVVWVt7IBAFDnSsqrtW3PUbWOb6KWXO4cgJvc\nWhaSkpKiJ554QpMmTdLs2bOVl5enmpoab2UDAKDObdpxRDa7Q8N6tTA6CoB6yK0j14899phGjx6t\ntm3b6p577lF+fr4WLlzorWwAANS5b7YflskkDenZ3OgoAOohl45cz507V/PmzdP/+3//75z75s2b\np6VLl3o6FwAAde7wsTLtOXRCnZOaqll4sPLzi42OBKCecalcT5o0SdLJ3UJMJpNXAwEAYJRvuNw5\ngFpyqVzv3r1bWVlZcjgcMplMzis0UrQBAA2F3eHQNxmHFehvUc+2XO4cwOVxqVxv3LhRJpNJP/30\nk7KzszVkyBBZLBatXbtWKSkpGjdunLdzAgDgVVkHi1RQVKErusQpMMBidBwA9ZRL5XrBggWSpKlT\np+qDDz5Q06ZNJUlFRUW66667vJcOAIA64tzbmiUhAGrBrd1C8vLyFB4e7nw7ODhYBQUFHg8FAEBd\nqqq2KX1nviKtgerQksudA7h8bu1zPXToUN16660aOXKkbDabPv74Y40ePdpb2QAA57Enp0g7so8b\nHaNBKSgqV3lljYb2SJDZzPlEAC6fW+X6wQcf1CeffKL09HSZTCZNmzZNw4cP91Y2AMBZ7HaHXlz+\ng4pKuTqup5lM0hVd4o2OAaCec6tcV1VVyWw2q2vXrnI4HDp+/Lief/55zZw501v5AACn2fHTcRWV\nVqlX+2gNSU0wOk6DEh4aqISoUKNjAKjn3CrXM2bMUEVFhbKzs9WnTx+lp6crNTXVW9kAAGfZ+OMR\nSdJVvRLVnrXBAOBz3Dqhcd++fVq6dKlGjBihadOmadmyZTpy5Ii3sgEATlNdY9d3mSdPumvbIsLo\nOACA83CrXEdFRclkMik5OVmZmZmKjY1VVRXr/gCgLmzfd1TllTXq0yFGZi7iBQA+ya1lISkpKXri\niSc0efJk3X///crLy1NNTY23sgEATnNqSUi/TrEGJwEAXIhbR64fe+wxjR49WikpKbrnnnuUn5+v\nhQsXeisbAOBnlVU2bckqUExksFrHWY2OAwC4ALeOXM+dO1fz58+XJA0fPpxt+ACgjmzOyldVtV39\nOsbKxJIQAPBZbh25zszMVElJibeyAAAuYNOPeZJYEgIAvs6tI9dms1nDhg1TUlKSAgMDJUkmk0lL\nly71SjgAgFRSXq0f9h5Vi5gw9mEGAB/nVrmePXv2Obfx50kA8K7vd+XLZndw1BoA6gG3ynW/fv28\nlQMAcAGndgnp2zHG4CQAgEtxa801AKBuFZZUamf2caU0D1dUeLDRcQAAl0C5BgAflr4jTw5x1BoA\n6guXloVMnTr1gvdxQiMAeM/GHUdkMkl9OrLeGgDqA5fK9YwZM5z/zQmMAFA38grLtffQCXVqHanw\n0ACj4wAAXOBSuT51ImNlZaVWr16tsrIyORwO2Ww25eTkqG/fvl4NCQCN0aZTlzvnqDUA1Btu7RYy\nY8YMVVRUKDs7W3369FF6erpSU1O9lQ0AGrWNO47Iz2JSr/bRRkcBALjIrRMa9+3bp6VLl2rEiBGa\nNm2ali1bpiNHjngrGwA0Wtm5J5STX6quyc0UEuRvdBwAgIvcKtdRUVEymUxKTk5WZmamYmNjVVVV\n5a1sANBordmSI4nLnQNAfePWspCUlBQ98cQTmjx5su6//37l5eWppqbGW9kAoFFyOBxas/mgAv0t\n6p4SZXQcAIAb3Dpy/eijj2r06NFKSUnRPffco/z8fC1cuNBb2QCgUdqXW6zDR8vUo22UAv0tRscB\nALjBrSPXfn5+6t27tyRp+PDhGj58uFdCAUBj5rzcOUtCAKDecalcz507V/PmzTvvxWS4iAwAeI7d\n7tCmnUcUFuyvLklNjY4DAHCTS+V60qRJkqR77rlHDofjjPu4qAwAeE7mgUIVlVRpZP9W8rO4tXIP\nAOADXCrXXbp0kSQtX75cCxYs8GogAGjMTi0JGdyjucFJAACXw63DIrt27VJJSYm3sgBAo1Zjs+u7\nzDyFhwWoczK7hABAfeTWCY1ms1nDhg1TUlKSAgMDJbHmGgA8Zfu+YyqtqNGI3i1kMbPkDgDqI7fK\n9QMPPMCaawDwkk0/LwnhwjEAUH+5tSzk9ddfV79+/c743+LFi2sVYOvWrefdheTLL7/U+PHjNWnS\nJC1btqxWnwMAfF1ltU2bdxcoJiJYSfFWo+MAAC6TS0eu7777bu3YsUN5eXlKS0tz3m6z2RQfH3/Z\nn/yvf/2rPvjgA4WGhp5xe3V1tRYsWKB3331XQUFBmjx5stLS0tSsWbPL/lwA4Mu2ZhWostqmvp1i\n+IsgANRjLpXrBQsWqKioSPPmzdMjjzwih8Mhk8kkPz+/WhXeVq1a6cUXX9QDDzxwxu179uxRy5Yt\nZbWePHrTq1cvpaena9SoUZf9uQDAlzkvHNORJSEAUJ+5tCzEarUqMTFRd955pz799FPFxMTokUce\n0S9/+Ut9/vnnl/3Jr776alks517at6SkxFmsJSk0NFTFxcWX/XkAwJeVVVTrh71H1Tw6VInRYUbH\nAQDUglsnNM6bN0+zZ8/WJ598osDAQK1YsUIzZszw+BFlq9Wq0tJS59ulpaUKDw+/5MdFRobIz+/c\nsu6O6GjWOhqNGfgG5lB3Pt+UrRqbQ2m9W57xfWcGxmMGvoE5GI8ZuM6tcm2329W3b1/dd999Gjly\npBISEmS32z0eKjk5WdnZ2SoqKlJwcLDS09M1bdq0S37c8eNltfq80dFW5edzhNxIzMA3XGgODodD\nGzKOqLi82oBUDdf67bmSpM6tIpzfd54LxmMGvoE5GI8ZnOtiLzbcKtfBwcH6+9//rg0bNuiRRx7R\na6+9ds7JiJfj1Mk7K1euVFlZmSZOnKgHH3xQ06ZNk91u1/jx4xUTE1PrzwOgdn7Ye0x/Xfmj0TEa\npJTEcMVEBBsdAwBQS26V62effVbvvPOOXnjhBUVERCgvL08LFy6sVYDExES99dZbkqSxY8c6bx82\nbJiGDRtWq8cG4FnpO06edDf5qrZq1iTI4DQNS5vml176BgDwfW6V67i4OLVs2VKrV69Whw4dlJKS\nori4OG9lA+BDamx2bd5doEhroIb3SpSZ7eIAADiHWxeReeaZZ7RmzRp9+umnstlsWr58uebPn++t\nbAB8yI/7j6usska928dQrAEAuAC3yvXatWv19NNPKzAwUFarVa+88orWrFnjrWwAfMi3O/MkSX06\ncP4DAAAX4la5PntP6qqqqvPuUw2gYTm5JCRfkdZAJTdvYnQcAAB8lltrrkeNGqVZs2apqKhIr776\nqt5//32NGTPGW9kA+Igd2cdVWlGjAZ3jWBICAMBFuFWup0+frjVr1ighIUG5ubm699572dEDaATS\nf14S0pslIQAAXJRb5fqhhx7S/PnzNXjwYG/lAeBjamx2bd6Vr4iwAKUksl0cAAAX49aa68zMTJWU\nlHgrCwBB2hSTAAAgAElEQVQftPPnJSG92CUEAIBLcuvItdls1rBhw5SUlKTAwEBJJ6+uuHTpUq+E\nA2C8dHYJAQDAZW6V6wceeEAOh+OM20wcyQIarBqbXd/vylc4S0IAAHCJW+V6+fLlWrBggbeyAPAx\nmT8VqrSiRsN7ckVGAABc4daa6127drHmGmhE/rtLSLTBSQAAqB9Ycw3gvGz2k0tCmoQGqG1ihNFx\nAACoF9wq17Nnz5Z0slA7HA7n/wNoeHb+VKiS8moN69lcZjNLQgAAcIVby0L69eunI0eOaN26dera\ntatycnLUr18/b2UDYKBvT+0S0p5dQgAAcJVb5fqZZ57R6tWr9emnn8pms2n58uWaP3++t7IBMIjN\nZtd3mSeXhLRrwZIQAABc5Va5Xrt2rZ555hkFBgbKarXqlVde0Zo1a7yVDYBBtu85qpLyavVqF82S\nEAAA3OBWubZYLGe8XVVVdc5tAOq/tdsOSZJ6c+EYAADc4tYJjaNGjdKsWbNUVFSkV199Ve+//77G\njBnjrWwADGC3O/TND4fUJMRf7VkSAgCAW9wq19OnT9eaNWuUkJCg3Nxc3XvvvRo2bJi3sgEwQOaB\nQhWVVGloD3YJAQDAXW6V63vuuUcvvPCCBg8e7Lztlltu0WuvvebxYACMcWqXkN7tuXAMAADucqlc\n33333dqxY4fy8vKUlpbmvN1msyk+Pt5r4QDULbvdoe9+vnBM+5YsCQEAwF0ulesFCxaoqKhI8+bN\n0yOPPOK8cIyfn5+ioqK8GhBA3dl1oFAnSqs0sn8rWcxune8MAADkYrm2Wq2yWq1asmSJt/MAMFB6\n5sklIVd2TzA4CQAA9ROHpgBI+nlJSGa+woL91bUNf5ECAOByUK4BSJJ2Hzy5JKRnu2hZLPxoAADg\ncri1W0hlZaVWr16tsrIySVJNTY1ycnI0c+ZMr4QDUHe+3ZkvSerDhWMAALhsbpXrGTNmqKKiQtnZ\n2erTp4/S09OVmprqrWwA6ojd4dC3u/IUFuyvDq3YJQQAgMvl1t9+9+3bp6VLl2rEiBGaNm2ali1b\npiNHjngrG4A6knWwSEUlVerZLopdQgAAqAW3fotGRUXJZDIpOTlZmZmZio2NVVVVlbeyAagj6c4L\nx7AkBACA2nBrWUhKSoqeeOIJTZ48Wffff7/y8vJUU1PjrWwA6oDd4dB3mXkKDfJTh1aRRscBAKBe\nc+vI9WOPPabRo0crJSVF99xzj/Lz87Vw4UJvZQNQB7IOFqmwpEo92kXLj11CAACoFbeOXM+dO1fz\n58+XJA0fPlzDhw/3SigAdefbn5eEsEsIAAC159ZhqszMTJWUlHgrC4A6Znc49O3PS0I6siQEAIBa\nc+vItdls1rBhw5SUlKTAwEBJkslk0tKlS70SDjjdj/uP6ZNNB+RwOIyO0mBU19hVWFKlK7vGsyQE\nAAAPcKtcP/DAA+cUG5PJ5NFAwIWs+Hqv9uScMDpGg+NnMWlQ93ijYwAA0CC4Va5ff/11vfDCC2fc\ndsstt6hv374eDQWcrbCkUntyTqhdiwjd96vuRsdpUEwmE0etAQDwEJfK9d13360dO3YoLy9PaWlp\nztttNpvi4zniBe/bvLtAktSrXbT8/SwGpwEAADg/l8r1ggULVFRUpDlz5mj+/PnOpSF+fn6qrKz0\nakBAkr7PPLmjRY92UQYnAQAAuDCX/hZstVqVmJioI0eOKC8vT4mJiUpMTNSXX36pKVOmeDsjGrnS\nimrt/KlQreKsigoPNjoOAADABbm15vrJJ5/UnDlzlJaWpoyMDAUFBentt9/2VjZAkrQt66hsdod6\ntos2OgoAAMBFuVWue/furZtuuknPPPOMwsLCtGTJEiUkJHgrGyBJ+n5XviRRrgEAgM9zq1zfdNNN\nMpvNWrlypXJycnTfffdp6NCheuihh7yVD41cZbVNP+w7qtimIUpoFmJ0HAAAgItya/+tq6++WkuX\nLlViYqL69eun5cuXq6qqylvZAGXsO6aqart6totiT3UAAODzXCrX//znPyVJN998s3bv3u28PTQ0\nVBYL26LBe04tCenVLsbgJAAAAJfmUrk+/aTF2bNnn3Hft99+69lEwM9qbHZtzSpQpDVQreOtRscB\nAAC4JC7LBp+160ChSitq1KNtlMwsCQEAAPUA5Ro+i11CAABAfUO5hk+yOxzavLtAoUF+atciwug4\nAAAALnFpK76srCylpaVJkvLy8pz/feptwNP25Z7Q8eJKDewSJz8LrwEBAED94FK5/vjjj72dAzjD\nf3cJYUkIAACoP1wq14mJid7OATg5HA59v6tAAf5mdU5qanQcAAAAl/H3dvicQ0fLdORYmbomNVOA\nP/uoAwCA+sOty597kt1u16OPPqpdu3bJ399fTz75pFq2bOm8/9VXX9U777yjyMhISdLjjz+upKQk\no+KiDrFLCAAAqK8MK9eff/65qqur9dZbb2nr1q1asGCBXnrpJef9GRkZevrpp9WpUyejIsIg32fm\ny2I2qVtKM6OjAAAAuMWwcv39999r0KBBkqTu3btr+/btZ9yfkZGhJUuWqKCgQEOHDtX06dONiIk6\nlnesTNlHitU5qalCg/yNjgMAAOAWw8p1SUmJwsLCnG9bLBbZ7XaZzSeXgY8ZM0ZTpkxRaGioZsyY\noVWrVmno0KEXfczIyBD5+dVujW50NJfZNtIHa/ZIkob0TGQWBuP7bzxmYDxm4BuYg/GYgesMK9dh\nYWEqLS11vn16sZakW265xVm+hwwZoh9//PGS5fr48bJaZYqOtio/v7hWj4Ha+WZ7rkySUuKZhZF4\nLhiPGRiPGfgG5mA8ZnCui73YMGy3kJ49e2rNmjWSpC1btqh9+/bO+4qLizV27FiVlZXJ4XBow4YN\n6tKli1FRUUdOlFXpx71Hldy8iSLCAo2OAwAA4DbDjlyPGDFC69at06RJkyRJ8+fP18qVK1VWVqaJ\nEydq1qxZuvnmmxUQEKCBAwdq8ODBRkVFHdmyu0B2B7uEAACA+suwcm0ymfTYY4+dcdvpW+1de+21\nuvbaa+s6FgzEFnwAAKC+4yIy8AnllTX6cf8xtY5votjIEKPjAAAAXBbKNXzCD3uPqsbmUP8u8UZH\nAQAAuGyUa/iEU0tCBnSlXAMAgPqLcg3DVdfYtW3PUUWFBykpoYnRcQAAAC4b5RqG25F9TBVVNvVs\nFy2TyWR0HAAAgMtGuYbh2CUEAAA0FJRrGMpud2jz7gI1CfFXSvNwo+MAAADUCuUahsrKKVJxWbVS\n20bLbGZJCAAAqN8o1zAUS0IAAEBDQrmGYRwOh77LzFdQgEUdW0UaHQcAAKDWKNcwzE9HSnT0RIW6\ntWkmfz/+KQIAgPrPz+gA9cVPR4qVd7zc6BgNyubdBZKkXu1jDE4CAADgGZRrF5RVVOvJ179TdY3d\n6CgNToCfWV2SmhodAwAAwCMo1y7Ytveoqmvs6t0+Wu1bsjbYk1rEhCk4kH+GAACgYaDVuGBr1lFJ\n0i+uSFKLmDCD0wAAAMBXcRbZJdTY7Nq256iaNQlSYnSo0XEAAADgwyjXl7D7QKHKK2uU2jZKJhMX\nOQEAAMCFUa4vYXPWyR0tUtt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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -593,7 +719,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 22, "metadata": { "collapsed": false }, @@ -601,18 +727,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 14, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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NXu/eUxAyDz2upeRnVXkOAMAygHrDx86Xh2JtJNu9rwgAqJbiX1eiqT4HpULz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\nacYhnIiIiIgozf4BQOaqJoNabaUAAAAASUVORK5CYII=\n", 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qmBba25Kuv7unAPrwww+HYRiBBNDvec97cNlll2HVqlVORY5MJjPlvz8w4O2w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\nhg0b8O7dOzQ3N6+6yCF9rGwQDodRU1MDu92Ot2/f4uHDh9i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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -649,7 +775,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 25, "metadata": { "collapsed": false }, @@ -657,18 +783,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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RmKsiANX615CiINHg5DnWnonXTF0+IPcddxDM3R2FA3u6IT/HjRBQrQs3K5Yb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\nDXo35ctR8vPz+eKLLwDw8fHBYDB0eLysrIzAwEB++uknli1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dKsIRHRHd4O1bCXGFm1IR77gRkd3FVFIyYcIENDU14dixYzh69CgOHTqE999/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\nFPTt25fJdhzFEofnn38ehw8fBsC5KJ4u5ncBAHr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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -694,7 +820,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 26, "metadata": { "collapsed": false }, @@ -702,18 +828,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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MeDaJptPqtxuVF3vUlasW0sn4nIdtRM2rUbO9jCz5TwSF85WjMBPun3ZN+IAt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\nSD5vUM+Q7gGDcMlYi6yGctViXT4teq7rwqhZrAc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OefUiuZMdP/3JT34yzjvvPLzoRS+Coij4l3/5FyiK4uugyJkt2frLMpY784ad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\ncaAzU3UxoUr1W2qCONBzTqc5QMVGHThMSv0e4hMp2+dZJSZSDB2bsNU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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -738,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 27, "metadata": { "collapsed": false }, @@ -746,18 +872,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 17, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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e+AZI5SrIsTXJzmaGYbB7JIQ8W8NskpXkPc0KifCLYLVYsGNTAPEkizxLXRvX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+wfZURiN+Ujnr5qYLL6Inc0VqdaWHHgcpHJbDRI8K2jRkbnpr+rFZgkxtakU8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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -789,7 +915,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 28, "metadata": { "collapsed": false }, @@ -797,18 +923,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 18, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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i0jklGoXs80IsT60HTw683WnKUQD2CifSKwbhREREOhdpbQEikU7tCV3t7rT/\nDSSXozAIJ9IjBuFEREQ6J3vUHuGp7QnVTLgAoVMmnOUoRPrGFoVEREQ6l64zChArQSkwmlFiKum8\nMNPuSHktEekLM+FEREQ6J3k675apKApc7R44Cu1wWOxoCbem7JxpKCiAobiY5ShEOsUgnIiISOfk\nxEY9HeUo7XI7gpEg7IU2OApjwfnRvcJNdjsktxuKomRvsETUKwzCiYiIdC5dOYoz3p7QYekIwt1B\nb8rrRJsdSiiIaHtblkZKRL3FIJyIiEjnEgszk1oUuttjx+yFNtjjQbgreFSHFLUunCUpRLqj64WZ\njzzyCN58802Ew2HMmzcPU6ZMweLFi2EwGFBTU4OGhgYIgoC1a9dizZo1EEUR9fX1mDFjRq6HTkRE\npBnZ64Gx1ApB7PizrS7ErCi0o8RcknJMldwhpWDY8CyNloh6Q7eZ8Pfffx8fffQRVq9ejWeeeQaH\nDx/G7373OyxcuBDPPvssFEXBxo0b0dzcjFWrVmH16tVYuXIl7rvvPoTD4VwPn4iISBOKosR2yzy6\nR3g84LanlKN0sXU9O6QQ6Y5uM+HvvPMOTj75ZNxwww3w+/24+eabsXbtWkyZMgUAMH36dLzzzjsw\nGAyYNGkSTCYTTCYTRo4ciZ07d2LChAk5fgdEREQDFw0EoITDiR0wVeqW9Y5COyxiIQyCAa72LnbN\ndLmyM1gi6jXdBuFutxuHDh3CI488gq+++grXX399yuru4uJitLa2wu/3o7S0NOW43+/v8fyVlaU9\nPocyi3OgD5yH3OMc5J6e5yAQiAXQpccNSRmnT2qBRSzEyOOGQBAEVBbZ4Q17U54TjAzHfgDGtlZd\nv0dVPozxWMc5yB7dBuE2mw1jxoyBKIoYPXo0CgoKcOTIkcTjfr8fVqsVJSUlCAQCieOBQABWq7XH\n8zc3t2Zk3NQ7lZWlnAMd4DzkHucg9/Q+B4EvDwAApMKSxDgVRUGTvxmOQjuczljiqcxcjs89u3Dw\nsBsmowkAEI2aAQD+Q026fo+A/udhMOAcaK+7DzW6rQn/2te+hrfeegsA0NTUhGAwiLPOOgubN28G\nAGzatAmTJ0/GxIkTsXXrVoTDYbS2tqKxsRE1NTW5HDoREZFmpHg9d3KP8IDchlAkDIel41iiLjzU\n0abQYDLBaLWyOwqRDuk2Ez5jxgxs2bIFl156KaLRKBoaGnD88cdj6dKlkCQJY8aMwcyZMyEIAubP\nn4958+blsYU8AAAgAElEQVQhGo1i4cKFMJvNuR4+EWVY6Kt9CGz/P9jOOx+CIOR6OEQZI6fZLVNt\nT6gG3gBgLyxPPFZVVJk4LtodCO//Coqi8GeFSEc0D8JbW1uxb98+GAwGDBs2LKVeu68WLVrU6diq\nVas6Haurq0NdXV2/r0NE+ce94TW0btmM4omnoWDo0FwPhyhj0gXhameU5CDcUWiPP5aa9TbZ7Ajt\n2Y1IayvEXpRrElF2aBaE/+c//8H//M//YNeuXaiuroYoijh06BBOOOEELFiwAN/85je1uhQREcLN\nzQBirdcYhNOxLLFbZnlyEB47Zk8qR+nYsKeLDiluN4NwIh3RJAhfvHgxHA4Hli1b1qke+/PPP8df\n/vIXvPrqq7j33nu1uBwRESRnPAj3enp4JlF+kz0eGIqKYCgsTBxzpSlHcVi66BWuBuEeFzBqVIZH\nS0S9pUkQ/stf/hLV1dVpHzvppJPwm9/8BocOHdLiUkREiAbbEY23IlVv1RMdq2SPO7Hpjiq5R7iq\nzGxN2ytcXdApcXEmka5o0h2lqwA82XHHHafFpYiIIDU7E/8te73dPJMySYlG4X59AyRuBJMx0WAQ\n0fb2tLtlWsRCFJksiWNGgxG2gvLOmXCHAwDYIYVIZ/odhPv9fmzYsAEffvghAOCrr77C+++/r9nA\niIi6opaiACxHyaX2XV/AuW4tPP/8e66HcsxS/30nZ8IVRYEr6EnUgCdzFNrgC7dAisqJY9y6nkif\n+h2EP/bYYygsLMSuXbvw+OOP4/jjj8fDDz+s5diIiNJKCcJZjpIz6vc+eT5IW+k6owSkNoQj4ZRS\nFJU9XhfuScqGi+XlgMHAchQinel3Tfj48eNRU1ODc845B8FgEBs3bkQwGNRybEREaUnOeDmKIDAT\nnkMRX6wUSGY5SsaogXNqe8J4PbglfSY89hwPhsR7hQsGA8TycpajEOlMvzPhJ5xwAl577TUAQGFh\nIb797W+zVzcRZYXUfAQAYD5+GCItLVBkuYdXUCbIPh8AQHI5e3gm9Zf6ITN5t8yOHuGdM+HqMfdR\nizNFmx2y1wMlGs3UUImoj/odhI8ZMwb19fUAAGc8K/X9739fm1EREXVDcjphsFhQMPR4QFEgt/hy\nPaRBSY5nwqNtbYi0teV4NMemtBv1tMd7hKepCe+qV7jJbgei0cQHJyLKPU26o3zwwQdanIaIqEeK\nokByNsNUUQnRFtumm3XhuRFJCuhYkpIZ6TbqcafZLVOllqgcvWtmx4Y9nCcivdAkCCciypZIayuU\ncDgWhMcDEwbhuZGcVWVJSmbIHg8EsxmG4uLEsUQ5SpqacLVXeKc2hTa2KSTSGwbhRJRX1E4cpoqK\nxC16Ls7MDbUcBQAkZlgzQvZ4INpsEAQhcczV7kaRaIFFtHR6fqxXeFmnDXvUTDjniUg/GIQTUV5J\nBOGVzITnUlSSEA0EIBTEtlKXncyEay0qSYi0tqSUoqg9wtOVoqjsaXqFm+zsFU6kN5oE4aeddpoW\npyEi6pHUHAvCxYrKjk1ImAnPukhLCwCgcPRoACxHyYRIfDfY5EWZfikAKSrBbuncGUWldkhJ6RWu\n/qywHIVINzQJwquqqtIe3717txanJyJK6ChHqYRYVhbrFc5MeNappSiFw0dAEEVuXZ8B6XbLTPQI\n7y4TbuncIcVYWhqbJwbhRLqheTnK5s2b8fTTT2Pbtm0oLi5O9BInItKCWvZgqqiAIIowlpZC9np7\neBVpTd2ox1heDtHhgMxMuOakeOmIKaU9YSywTteeUKUG6Mm9wgWDAaLNxnIUIh3RPAh/9913MWTI\nELzyyiv4+c9/jk2bNml9CSIaxCRnM4xlZTCYzQBirdtkrweKouR4ZIOL2hlFLC+HyV6BSGsroqFQ\njkd1bEnbIzyeCa/othwlHoR36pBi5+ZWRDrS723ruzJ+/Hice+65mDlzJhRFQZS7cxGRRpRoFJLb\njcJRoxPHRJsNoX17EW1rgzGpjRtlViIIt5ZBrIi1v5NcLhQMHZrLYR1TOoLwzrtldpcJt8drwo/e\nsEe022ObW3k8MFVWaj1cIuojzTPhkiThgQcewM6dOyEIAoxGo9aXIKJBSva4gUgEpoqKxLFEhxQu\nzsyqRDlKWTlMjth8yG6WpGgpsVFPUibc3YtylPKCWK/wzrtmxj8ssSSFSBc0D8L/93//F8OHD8cz\nzzyDyy67DDfffLPWlyCiQUrtjJKcxUv0CufizKzqKEcpg8kRD+7YplBTsscDGI0wlloTx1xBD4rF\nIljEwi5fp/YK71SOwl0ziXRF83KU008/Hd/5zncwe/ZsAIAvaUc1IqKBSO6MomImPDdknw+CKMJg\nKYIYz4SzQ4q2ZI8HYlk5BEMsX6YoCtxBN6qL03ckS2YvtGGXdzekqAyTIfanviMIZyacSA80z4R7\nvV48/vjjOHDgAACgrKxM60sQ0SCVNghnJjwnIj4vjOXlEAShoxyFHVI0o0SjkH3elFKUlrAfUlRO\n9AHvjr3QBgUKPMGOzkEmG8tRiPRE8yC8qakJhYWFWLFiBS699FIsX75c60sQ0SAlNXe0J1Rx18zs\nU6JRyC0tEMvKAcQ6pMBoZCZcQ5EWHxCNpizKdPeiR7gqXYcUZsKJ9EXzcpTp06ejvb0d8+bNAwAc\nPHhQ60sQ0SAlOZsBgyElMBFtsUCQ5SjZEwn4gUgEojV2p1MwGiHabKwJ15DkTteeML4o09JzEK7u\nqKm2NAQAQ1ERhIICBuFEOjHgIHz79u149913MXbsWJx99tmora1NeXwo21URkUYkpxMmuwNCUtcl\ng6UIgtnMTHgWRbyxtT7G8o5yQ5OjAu07dyAqSTCYTLka2jFD/VBpStMZpU+Z8OQNewQBJpsdEhdm\nEunCgIPwcePGYdy4cdixYwdWrVqFSCSC2tpaTJ48ecCDu+SSS1BSUgIAGD58OK677josXrwYBoMB\nNTU1aGhogCAIWLt2LdasWQNRFFFfX48ZM2YM+NpEpC/RcBgRnxcFY09NOS4IAkSbnZnwLJJb4p1R\n4uUoAGByONCOWKmDuarnhYPUvY72hOm2rO+5JlwNwtP1Cg8fPoRoKARDQYFWwyWiftCsHOWUU07B\nKaecAgD45JNP8MQTT0AQBEyePBnjx4/v8/lC8Z3XVq1alTh2/fXXY+HChZgyZQoaGhqwceNG1NbW\nYtWqVVi/fj1CoRDmzp2LqVOnwhzfTY+Ijg1qqYOYVA+uEm02tDcdZhY2S2RvbLGfWo4CIKlDipNB\nuAYSG/WUpylH6UUmvLygLG2v8ERduMcNc/VxWg2XiPpB85pwAKitrUVtbS0URcGWLVvwxBNPwGg0\nYurUqTjxxBN7dY4dO3agvb0dCxYsgCzLuPHGG/Hpp59iypQpAGK15++88w4MBgMmTZoEk8kEk8mE\nkSNHYufOnZgwYUIm3hoR5Ui6zigqsTyWkY34vDCkeZy0FWlJX44CsEOKVhKZcHvqlvUlpmIUij1n\nsI0GI8rT9QqPZ9YlN4NwolzTJAj/6KOPcPrpp3c6LggCzjjjDJxxxhmQZRkfffRRr89psViwYMEC\n1NXVYc+ePbjmmmtSHi8uLkZrayv8fj9KS0tTjvv9/v6/GSLSJbnbIFztkOJN+zhpS47vlplSjlLR\nkQmngZM9HkAQEt/jqBKFO+jF0OLqXp/DEe8VLkdliPFe4SZ2SCHSDU2C8OXLl2PlypWw2bq+RSaK\nYiKL3RujRo3CyJEjE/9dXl6Ozz77LPG43++H1WpFSUkJAoFA4nggEIDVau10vqNVVpb2+Bw9CjY1\nYc8TT+GE66+Fuby85xfoWL7OwbEmX+bB39YCABhSMxKlR41ZGn4cPACKou2oyJP3kyxf5kDlao/9\nzh0y+ngUOGJjD0ZGYD8Ao78l794PoL852Nfig6m8DEOOi/1d9bT7IEdlDC0b0uuxDi0fgi+8X0Io\nllFZEjuPOHoYmgCYQ37dvWdAf/MwGHEOskeTILyurg47duxAIBDA9OnTNanHXrduHT7//HM0NDSg\nqakJgUAAX//617F582acccYZ2LRpE84++2xMnDgR999/P8LhMEKhEBobG1FTU9Pj+ZubWwc8xlxw\n/+0NuN57H8YxJ6N8xjm5Hk6/VVaW5u0cAIDr1ZdRMGwYSk7/Wq6HMiD5NA8t+2IbgPmNRQgeNeag\naAEAuPcegnJyfrwfVT7Ngaqt2QUIAnySAUJ87IpSAAgC/AcO5d370dscKIqCkNMJ8/HDEuP60vcV\nAKDE0PuxFiPW2OCLA1/BaI9tcx8yxH5WfPv1N096m4fBiHOgve4+1GgShM+dOxcAIEkS3nrrLRQW\nFmLq1KkDOuell16KxYsXY968eRAEAXfffTfKy8uxdOlSSJKEMWPGYObMmRAEAfPnz8e8efMQjUax\ncOHCY3pRpro4TWpqyvFIBq9IIADXyy+iYMTIvA/C84nU3AzBbIYxzZ2uxK6Z7JCSFbLPC2NpaUqr\nSEEUIZbbuGGPBqKBABRZTu0R3t77jXpUaq/w5LpwlqMQ6YcmQfgHH3yAr33tazCZTDjnnHPQ2tqK\nf/zjHzj++OMxbty4fp3TZDLhvvvu63Q8uVuKqq6uDnV1df26Tr5R6y3DTYdzPJLBS50D6UgTFEWB\nIAg5HtHgIDmbYaqoTPv9TtSEMwjPCtnrg3lImtp8hwPBxl1QZBmCmJF1/4NC+vaEve+MokrXptBQ\nWAhDUVHiGkSUO5r8lrznnnswceJEeDweeL1eeL1e+Hw+NDc344ILLsDdd9+txWUIyUE4M+G5ot6N\niAaDiLT4UhanUWZEAgFE29thquncnhAAxLIyQBC4YU8WRINBKKEgjGn+3ZscFQju+gKy18MFsgMg\nxQPklI161B7hlp57hKvUgN3VfnSbQkdioTMR5Y4mQXhZWRmsVit8Ph+uvvpq2O12lJWVwWazwWKx\naHEJQqxOUI7f6pWczVAikZTbwZQdctLW3OGmJgbhWdBde0Igtm260VrGIDwLZF98o56kHuEqk8MB\nAJBcLgbhA5DoEZ5SjtL3TLitoAwChEQArzLZ7Qjv/wrRYDsMhfwbrYXwkSNwrn8BVZfPh7GUCxup\ndzQJwu+66y4MGTIEbrcbf//73yGKIsaOHavFqSlJpMUHRZLiX0QgObkpRi5I7o4gXGo6DJx0cg5H\nMzj0FIQDsYAlvP8rlghlWKI9YZruTOpGSpLTCfDHot86gvCOrLc76EGpqQQFxt6veVJ7hR+9YU/Z\nN/8LxlIrhIJCbQZMaH3/Pfi3bkHxqeNRNv2buR7OoKQoCpqefByWmhqUTZue6+H0ikGLkxw6dAgA\nYLfbMXfuXFitVjz66KPYtWuXFqenuMSCp3j2WzrCkpRckI7KhFPmqd9zU2X6chQgFoQrsowo9wnI\nqMRGPWXpMuHxDXvcXJw5EEdnwmM9wj2wW3qfBVc5LDb4Qi2Qo3LiWEntaaj+0QJ+WNVQR6nooRyP\nZPCK+LxoeecteN98I9dD6TVNMuGLFi3CSSedBEVRUo6vXLkS559/Pm677TYtLjPoqWUQlhPGoP2L\nzxFuOoziCRNzPKrBR3Y5AYMBiEbZpSZLpOZeZMKTFmfydnDmyN54OUo3QXjyB1Xqu8TCzPi/6ZZw\nK2Ql0qfOKCpHoR27sBueoA+VRQ5Nx0kd1FLR8GE2TcgV9fdO+PDhvLkjqkkQXlVVhdNPPx1WqxU2\nmw3l5eUoKytDWVkZyvN8Qxk9UT9pF506Lh6EMwDMBcnphLn6OMgeN7vUZIlajiJ2E4Sri9gkjwcF\nw0dkZVyDUbrdMlWiI74lOnfNHBDZ44GhqBiGgtj29Go9uKOw94syVYnFmUE3g/AMSgSA/JuQM+rv\nHSUURMTnTXyI1TNNgvC7774bw4YN0+JU1A21HKVo7KlwvfxirB6ZsirS1tGlQzCZED6wH0o0CsGg\nSWUXdUFyNsNQUgJjNwu92aYwOyI+tRylcxBuMMX6uMsMwgdE9nog2jsCZld8YWVfFmWq1Oy5O8if\ni0xRolFI8RIsqbmZLTpzJKVU9PDhvAjCNYkcKit7XgUfCoW0uNSgpv4DMx8/DMaycoRZE5516i1H\n0VEBc1U1FFlm/WuGKdEoZKezx24biQ172CElozoy4Z3LUQDAVFEBye2GEo1mc1jHlIJhw1E8sTbx\ntRpA96U9ocph6dwrnLQle71AJBL7IhLhnaAcSf7wHz6cH7X5mgThN910E9auXQt/mgVRfr8fzz77\nLG688UYtLjWoyS4nDEXFMFosMFdVQXa5EJXCuR7WoJJYIFhRAVO8Mw3LgjIr0uKDIsswVXS9KBPo\n6NbBTHhmyT5fbMOXeKnE0UR7BRCJJFoZUt8N//VvUDm7YwO6/uyWqbLHS1iO7hVO2lGDPzX7zbrw\n3EjerTdf5kCT+yUPPPAAnn/+eVx66aUoLS1FdXU1jEYjDh48CI/Hg/nz5+MPf/iDFpcatBRFgeSK\n1SIDgKmqCu2f74TU3IyCocfneHSDh5rhMDkcUOKZD6npMDBufC6HdUyTmtUPPr3NhHszPqbBLOLz\npS1FUakflmSnM2WzGeq//uyWqeroFc4gPFPU5Iyl5mS0fbY9loWtPS3Hoxp8JKcTgtkMJRweXEG4\n0WjEFVdcgcsvvxw7duzAnj17YDQaMWLECJx88sl5sUJV7yL+VijhcKL7gLmqGkAsAGQQnj3qJ211\nHgBmwjOto0d495lwQ6EFhsJCZsIzSIlEEPG3wnzccV0+J7Fhj9sJC2qyNbRjmivoQam5BGajqc+v\nVXuFMwjPnETThHHj0PbZdnbNygElGoXscsI8bDhklzNv1sxpunJAEASMHTuWG/VkgNqeUIz/gTOz\nFCInEvNQUZHYrZSr4TMrEYRXDunxuWK5jUF4BsktLYCidFkPDsTWSwBsU6iVqBKFJ+jFiNL+J1sc\nFhsavXsgR2WIBi4Y1Fpy5zIIQt7UIx9LIi0tibJFg8mE9l1fICpJMJj6/sE1m9jSIU8kyiDi2UBT\nPBPOADC7JFfsdpexpBTGomIYS63MemRYR4/w7jPhQKwkJer3c61EhnTXGUWV2LDHxQXLWvCFWhBR\nIv0qRVHZC21QoMAbYp1+JsjO2L91c/VxEO12JsdyILlU1FRVDSgKpOYjOR5VzxiE54mjyyBMlZWA\nIDAAzDLJ6YTJUZEosTJVVUFyxlpSUWZIzmZAEFJatnUl0aaQdeEZ0VNnFCCpHIUdIjThGkBnFJW6\noJOLMzNDcjlhtFphMJthrqpGxOdFpL0918MaVBJNExwVMFfHk5R5UBeueRD+yiuv4P7770dbWxte\neuklrU8/aElHlaMYTGaIDgc/cWdRpL0d0bZA4nY7EK/Nz5NP3PlKcjohltt6dVsxsTiTJSkZ0d1G\nPSpDYSEMJSUMwjWidkYZWCY83iGFdeGaU6JRSC5n4k6dGgAyQZZdaocasaKiY81cHpQFaRqEr1ix\nAv/5z3/wj3/8A5FIBOvWrcPdd9+t5SUGLfmochQAMA+pQsTnRTQYzNWwBpW0c8Da/IxSZBmyx92r\nUhSAvcIzraMcpetMOACY7A7ILhcURcnGsI5piR7hAwjCOzbscWsyJuog+3xAJNJxlzrewSzcpP8A\n8FjSUY5SOXgz4W+//TZWrFiBgoIClJaW4oknnsCmTZu0vMSgJblcMFgsMBYVJ44l6sK5aU9WJN/u\nUrE2P7MktxtQlB7bE6q4a2Zmqb2/uytHAWIfVBVJQqSlJRvDOqZpUo7CDXsypqNpQmrnsnwIAI8l\nHX+fHbFF/AZDXvxd1jQIN8a7RajC4XCnY9R3iqLEapGPygaqWVje9sqO5IUfKs5BZqllPiIz4boQ\nSQThXZejAEkdUrg4c8ASPcILuv+ed6c83iucNeHak9ypyZmOchT9B4DHEsnlhLGkFIbCQgiiCFNl\n5eALwmfOnIkbb7wRPp8PTz75JC6//HJceOGFWl5iUIoGAlBCwZRaZCDpE3ce/EM7FiS2rE8KCE1D\n1HIUzkEmqNkNcy/aEwLMhGea7PMCRiMMxcXdPq+jQwrrwgfK1e5GmbkUpn70CFeJBpG9wjMkeRdl\nABBtdggmEzPhWaQoCmSXK+Vvs7mqGlG/H5E0O7nriaZB+LXXXovzzjsPM2fOxKFDh3DJJZegvr5e\ny0sMSunKIICOAJBZ2OzoyIR3zIPBbIZod0BiSVBGqD3Ce5sJN1qtgMHATHiGyD4vRGsZBEP3fzrY\nIUUbkWgEnpA3sbByIOyFNnhDPshRdnLSUmJBYPzvgmAwwDSkCuGmw1wTkSWRFh8USUq9S63W5ut8\ncaamQfjTTz+NRx99FL/+9a9x5ZVX4vnnn8fq1au1vMSglC74A+KfvI1GZmGzRHI6IZhMsUAvibmq\nCrLHwwWyGSAndsvsXU24YDBALCtnJjwDFEWJb1nffT040JEVZBA+ML5wC6JKNFHTPRAOC3uFZ0Jy\nLbLKXF0NJRSC7GWr1Gzodr2Wzu9IaBqEr1mzBs899xwAYNiwYVi/fj2eeeYZLS8xKHV80k7tkywY\njTBVVHJhZpZILidEhyPRI1zFBbKZIzmdEEQRYnnv62FFWzlkrxdKNJrBkQ0+0bY2KLLcq7lQf1dx\nw56BUWu4HRpkwtkrPDMklxPGUisMBQWJY/nUIu9YkK5UtKNDir7nQNMgXJZlmJJ6+ZpMpk4BC/Xd\n0TVnycxVVXlR95TvosEgon5/p7sRABdnZpLkbI598Omh/CGZWG4DIhH+TGgs0SPc2nMm3FhUDIPF\nwq3rB0iL9oQqtaSFdeHaUaLRWC3yUQmyRCkE71JnRbpqgXzp1y5qebJzzz0XP/zhD3HBBRdAURT8\n4x//wDnnnKPlJQYlyZ26W2ayWBb2E4SbDsNScmKWRzZ4JHYsTfNBiG0KMyMaDCLS2oqCESP79Lrk\nxZniUaVD1H+97RGuEh0VkJqboSgKkzH95Iz39bZrUI5iL4zdwWCbQu1EWnxQZLnT3wVTHvWpPhak\nS1QarWUwWCy679euaSb8pptuwpVXXondu3dj//79+OEPf4gbb7xRy0sMSpLTCaGgMG1HgkQWlqUQ\nGSW54rXJzIRnjdTHenAV2xRmRiIT3svSIFNFBZRQENFAIJPDOqa527XLhDuYCddcIjnTRecytinM\njnTtgwVBgKmqGtKRI7ouTdS8HKWwsBATJkzAKaecgtbWVm5drwE5viVuumwS2xRmx9EbMiQzObhA\nNhM6sht9DMLVTLiHuwNqKbFRTy/KUYDYrpkAF2cOhCvohgABNg2CcFthvFc4d83UTFelosbiYhhL\nS5kJzxLZ6YShpASGQkvKcXN1NRRZ1nVZnKblKL/61a9w6NAhjBkzJiVgvPjii/t9TpfLhe9///t4\n8sknYTAYsHjxYhgMBtTU1KChoQGCIGDt2rVYs2YNRFFEfX09ZsyYocG70YdIWwDR9vaUT3jJTMzC\nZkV35SiCKHKBbAYkMuGVvWtPqEpkwtkhRVMd5Si9y4SLiTaFLhSOHJWpYR3T3EEPygqsMBkG/qda\nNIgoK7ByYaaGjm5PmMxUVY1g4y5EJQkGU/97vFP3FEWB5HLCfNzQTo8ltyk0D+ndXhPZpmkQ/vnn\nn+P111/XrP5PkiQsW7YMFosFiqLg7rvvxsKFCzFlyhQ0NDRg48aNqK2txapVq7B+/XqEQiHMnTsX\nU6dOhdls1mQMudbdokwglvUTTCaEGYRnVFdtIlXmqioE/vcwIn4/jCUl2RzaMWvg5ShsD6aljnKU\nXmbC47+zZB1nofQs1iPch1HWEZqd01Fow5e+vYhEIzAauJv1QHXbNKG6GsFdX0BqbkbB0M4BImkj\n0tIS6xGetnGF2qXmMDCxNttD6xVNy1HGjBmDI0eOaHa+//7v/8bcuXNRWRn7I/zpp59iypQpAIDp\n06fj3XffxbZt2zBp0iSYTCaUlJRg5MiR2Llzp2ZjyLXuPmkDyRsDNHFjgAxSW+Ud3SNcxcWZ2htw\nOQoz4ZrqczmKunW9m0F4f3hDvliPcA1KUVT2QjsUKPCwV7gmukvOmKtiWVhJ5wsD811XdflAUptC\nHc+Bppnw9vZ2zJw5EyeddFIiEy0IAp5++uk+n2v9+vWw2+2YNm0aHnnkESiKkhJkFhcXo7W1FX6/\nH6WlpSnH/b1oTVZZWdrjc/RACsbei2P0cFR0MWbXiOPhOrAf5WIEZrt2v7AzLV/mAAB2e1woGFKJ\nIVXpAxB5zEh4/wkUtvny6n0B+p2H/R4XjBYLqkZV9/HuWil2FxcDrfkzF/kwzq/8rRBLSzHkuN79\njpEKRmEfAEOrNy/en97GeORILHAY7qjSbGzDHVXY0gRECoK6e78qvY4rnX0eN0SrFVXDOgeAhpNG\nwQnA5M+Pf//J8mm8zp2xGKl81LBO445YT8ReAHA7dfueNA3Cr7vuOgDQpBxl/fr1EAQB7777Lnbs\n2IHFixfDk9TtwO/3w2q1oqSkBIGk1feBQADWXrQla25uHfAYs8Gz9wAAoN1c3OWYo+WxXwCHPmtE\n0UknZ21sA1FZWZo3cxANhSD5WmA6fniXYw4Xx9t/Ne6BMCE/3heg33lQFAXth5tgHjIETmff+30b\ny8oRdLp0+d6Optc5OFrI7YZos/d6rIoCCGYzAgebdP/+9DgHjYdjv/st0RLNxmaJxjpsfXn4AKoM\n+iuR0OM8dEVRFISam2E+fljaMYcssb8JnsY9KMiT9wTk1xwAgPvL/QCAUEH6nxPR7oD/q/05fU/d\nfQDQtBzltNNOg8/nw8GDB3HgwAHs27cP7733Xr/O9cwzz2DVqlVYtWoVTjnlFNxzzz2YNm0aNm/e\nDADYtGkTJk+ejIkTJ2Lr1q0Ih8NobW1FY2MjampqtHxbOSV1sVtmspS6J9Jcd4syVeoC2fBh1uZr\nIeJvhRIKQeymFGVvy1f46+5/pi3DEm02RNvaEA2FMjnMQSMaDiPa1tbrUhQg3iKsoiLx80N9426P\n98AOEvkAACAASURBVAjXtBwlvmsm2xQOWKTFF6tF7qppQmUlIAjskJJhiZKgLv4+m6urEfF6EQ22\nZ3NYvaZpJvynP/0pgsEg9u7diylTpmDLli047bTTNDm3IAhYvHgxli5dCkmSMGbMGMycOROCIGD+\n/PmYN28eotEoFi5ceMwsygRii5oEsxnGkq4/Sal9qtmdIzMSdfn2rj8IieU2CGYz+8JqRGruuR78\n73vewCfO7Ti9cgKGllSnPJZcF65+SKX+i7TEO6P0clGmSrRXIHzwICLt7TBaLD2/gBJcQe22rFex\nV7h2emqaYDCZYKqo5N+EDJO6aR8MxILwtk+3I3y4CYWjRmVxZL2jaRC+e/du/POf/8Sdd96J2bNn\n4+abb8bPf/7zAZ931apVaf9bVVdXh7q6ugFfR48kl6vLHuEqLgrMrJ5+2QJJC2SPNHGHQA3Iic4o\nXX/PDwZi/95dQXfnINwWuxUsexiEayGxKLOX7QlViQ4pLieMw4ZrPq5jWUeP8L598OkOe4Vrp6eO\nWUAsAAxs+19EAgEY02y2RwMnu5wwFBV3+SHfpLYpbDqkyyBc03KUiniweMIJJ2Dnzp2oqqpCOBzW\n8hKDSqStDdG2QLc/5ABgLC2FwWJhr/AM6fhl232XDnNVFZRQCBEfW+MNVE/tCcORMJzx2/XuYOfv\nNzukaEv2xtsT9qEcBejYwU7Pm2Xolas91iNc1KBHuIq9wrWT2MCt2zJFJsgySe0R3l2yJrGhoU7L\ngjQNwk888UQsX74cZ555Jp566ik88sgjkGVZy0sMKnK8lrKr2yyqju1Zm3S9PWu+SpSjdPODDuj/\nhz2f9BSEHw4cgYJYLXi6W+sdu2byA5EW+l2OogbhbtaF90UkGoE35NO0FEVlL7TBF25BJBrR/NyD\nSW8z4QDXa2VKxN8KJRzu3Rzo9IOQpkH4bbfdhvPPPx8nnngifvazn6G5uRn33XeflpcYVHrzQ64y\nD6mCIsvcqjsDJJcTMBohlnUfgCQWZ/KOxIB11ISn/7evlqIAXQTh3DVTU4mNetKUowTlIKJK+g//\n6u8ubtjTN56QDwoUOCzat5x1FNoQVaLwslf4gHT0p+6maULSjo2kvd7cjRBtdghms26TY5oG4aIo\nYvLkyQCAb33rW7j11ltx0kknaXmJQaWnVb/JOrpz6PMfWj6TnE6Y7A4Ihu5/XBJdao5wDgZKcjbD\naLXCUFCQ9vFDgY4POuk6PYi2WAaRH0q10VETnvpB1Nnuxq/fuh1vH3g/7esSG/a4GIT3hTtes63l\nRj0qBzukaEJ2OmEoKYGhsOsFxyxHyazeJCo7NjQ8rMsNDTUpNrv11ltx55134sorr+z0WH8366Gk\nT3ndfNJWqR1SpCNNwLjxGR3XYBINhxFpaUHB2GE9PjdRjsJM+IAo0SgktwuFI0d1+Rw1E15iKk6b\nCTeWlABGIzPhGonEg3DjUZnw/a0HICsR7PJ+ienDzu70OqPVCkEU2aawj5zxmm17JspRLAzCB0qt\nRTYPPb7b54nl5RAKCpgcy5DeNE0AYiUp4f1fQfZ4YLJr/zM1EJoE4XPmzAEQa1HIrhDa6VM5Cj9x\nZ4Ts7l1dPoBYVqSoiPV/AyR7PEAk0m17wkP+JpQXlGFIUSU+9+yCFJFgMpoSjwsGA8TyctaEa0T2\neiGYzTAUFqYcd4di398j7ekz3YLBANHhSKyroN7JbCY83qawnXeJ+ivS0hLrEd5D8CcIAsxV1Qgf\nOgglGu3xbir1TW9jpOS68GMyCP/iiy+wa9euRGs2NeXPgHxgJJcLgskEYy92AFXLUdghRVuJT9q9\nuBuh/sIN7tsLJRKBYDRmenjHJKmH9oTtcjs8IS/G2k9CWUHsZ8Md8qKqKDVoF8ttCO7+kn/8NCC3\n+CCWlXX6ne6Jd6Y50tbcZWtOk6MCbU3bEQ2FuiwvolSJHuGWzCzMTL4G9V2fEmTV1Qjt2wvZ4+7V\n86n3elst0NE04RCKxp6a8XH1hSZB+Pvvvw9BELBv3z7s3bsX3/zmN2E0GvH222/jxBNPxMUXX6zF\nZQYdyeWEydF9j3CVsagYxtJSlkJorC91+UDsw1Bw95eQ3C6YK4dkcmjHLKm5+84oaj340OJqFIix\noM4d9HQOwm02oDGKSEsLxPK+9bemDko09j00nTCm02NqEB6KhNESbk18KEqW6JDicqFgqP62Stcj\nV7sn1iO8QLse4SpbYTkECNywZwD6UipqSuqaxSBcW5LLBUNREYxFRd0+z1SlLpDV311qTYLw3/3u\ndwCAK6+8Eq+88grs8XS/z+fDDTfcoMUlBp1oMIio3w+xm7rYo5mGxAJARZYhiJruwzRo9bZNpCqx\nOLPpMIPwfkpkwivTB+EH/bFfpMcVVwHxD6juNH2Pk3uFMwjvv0hrKxCNpu0OpJajAMCRNmfaIDzR\nIcXtZBDeS+6gB+UFZTAatL+bZlJ7hTMI77e+ZsKBWKloMddraSZRlz+kqsfnJs+B3mh6j/bIkSMo\nS/pFbbFY4GRrqn5JtD/qZQYWiAeA0Sg3xtBQRzlK7zPhABA+zDsS/dVTj/CDaia8pDpRM9ttm0IP\ng42BUHuEpwvCPUkbJR1pb077+kSHFP5e6rVgJITq4sx9iLcX2uAN+dgrvJ/68vfZHM/CSmxTqKmo\n3w8lFOpx/w4AMBYVwWi16nK9lqbp0hkzZuD/s/fmgW2VV/r/c+/VvtiWbcnynsXZV0IWlpKylW1g\nOi2TstNtptOZLrTpUOh86QCdb6crLfObab+dFmZpykBpS4dCC5QGQiABEpZA9sWJncSLbFmWrF13\n+/1xfWU7lqzt2rqyz+cvkKybVz6W7nnP+5znfPKTn8TVV18NURTx/PPP49prr9Xyn5gz8EOjiUgB\nx1fpBHCgP73zI0oj7RGeZyWVGmRLh/f7AZaFIUsDjSpH8dobEE5FAABDNDVz2lA9ws91RuElASOp\nMEysESmJx0Asc5I9Xo5C5Mdd5/0NnKbpG3Pe4mjC6fBZiLIEDtS7Uih8Wo5SgH0wSUU1pZDTCEDx\nbI8fPwaJT4E1mqZzaQWhaRJ+77334oUXXsDevXvBMAw+/elP44orrtDyn5gzCAV8yFXSUoh+H7B6\nWpY15+D9fhhdtXk3WU6wiiSKgvcPwlCb/XfeF+lHvaUWZs4Eg7k6q76VKuHaIAQzV8JDo8NeOlwL\ncGjoaNYkXK0WkkNK/rQ6p1e289FF1+PqeZfBNM5RiMgfYcgP1m4HZ83uEa7CWa3gqmtoYI/G5GtP\nqGLyehE/dhT8wADMzbkth2cKTeUoqVQKLMti1apVWLFiBYaHh/Ev//IvWv4Tc4bi5ChqJZwSQC2Q\neB5iKJjXcZcKa7GCq66mSniRSHwKYjCYVYoSTkUQ5iNodCgbTo7lUG2umnp0PVXCS2JMjjKxEh4Y\nPX1oczTDarBmtSk01LgAjqNKuI4wsgbUTEPT51xA1SIXckpt8nohBAKQUqlpXNncotBKuHGcQ4qe\n0LQS/vnPfx6JRALd3d3YsGED9u7di7Vr12r5T8wZCv0DA5TGTEBpCiRKR/UIN9bm7oAfj6nBq8tj\nr0pAyFHd6Bsd0tNkH5Nb1VpcOBXqhiiJExrZVAkReYWXhhBU5SgTkzZVD15rccFjrUdPpBeSLIFl\nJtZ2GJaF0VVLUzOJWYEYDkNOpQpLwhu8iB89An7AB3NL6zSubu7AF+BQA4y3KdRXfqRpJfzUqVP4\n+c9/jg996EP49Kc/jV/96lfwkQ6qKHi/H4zBkJdHuAprNsPgclEVViMKPe5SMTY0ALKcttoj8mfs\nd57NGUW1JxzriK+zuCBDRnBUHqHCmkxg7XaqhJeIqgk/V46iVsJrLDXw2OohyGL6sXMx1NVBDAYh\n8fz0LpYgppl08lfIKbVXnwlgJSMUaB9s8o42yOosP9I0Ca+vVzytFyxYgKNHj6KhoQEpOn4pCmHI\nD0NdXcFDRowNdOylFWrlrhBdPgCYPGM2hURh5LQnHK2Eq3IUYGz4SGZdeC2EYZoMWAriyAjAMOCc\nEwsCw0m1Eq4k4YAytCcTYzaFFAuishECRZxSU8O+5vBDQ2CtVnC2/BqYjfX1AMfpbiOkaRLe0dGB\nf/qnf8KmTZvw3//93/j3f/93CIKg5T8xJ5CSSYjhcFHG/qpnJjUGlo5QhC4fAExesiksllz2hH3R\nfrAMC8+4wTy1FkV2kqkKa6hxKZ77ifg0rHZuIASD4KqqJxUEVDmKy1ydjkduhxSSpBCVTTEnpOmx\n6TpLACsVWZYV04QCYsAYDDC63Uj196enuusBTZPwBx98ENdeey06OjrwhS98AYODg3jooYe0/Cfm\nBMU0ZaqQHZJ2FDKyfjxU9SieqW5wsiyjN+KDx1oPIzvWzjI2hntyldXgUnXhJEkpBlmWIYSCWQf1\n2AxWWAwWeKyjlfAszZnkkELMForq16p3K1VYn76aAisVKRqFnEwUfkrtbYQUi0KMhKdpZYWjaRJ+\n3333Yf369QCAK664Avfddx8WL16s5T8xJ1BvVIYCGwKBiRMbidLgh0b9ql2Z/aqzYXR7AIah04gi\n4AcHwZhM4KomJ33BZAgJMTFBigJg3MCeqbzCqTmzGORkAnIqNSkJl2UZw4lhuEZPIdx5ylGoEk5U\nOoWMrFdhOE6XVdhKpdh+rTEbZ/3kR5om4UePHkUkEtHyknMSvsCGg/GQTaF2CEN+GFyuvD3CVVij\nEYa6OqqEFwHvV6y/mNFx9ONJT8q0TxxT7KKpmdOG6hF+7qCeuJBAUkzBZVYetxosqDI5aWAPMevh\nh/xgbTZwNltBr1OqsDFdVWErlWKGGQLjG2T1cyKhqUUhy7K47LLLMH/+fJjNZgAAwzD4+c9/ruU/\nM+sZk0Fk1sVORboKS3KUkpAFAUIwCOui4k5yTA1exA4egBiP5zXQgQDEWBRSLArjwoUZn89kTwgA\nJs4Ip9FBXuHTQDZnlPFNmSoeWz06g13gJWGCXAgAjK5agGHSfRYEUYmoWmS1oloIpoYGRKEM0zM4\n83c9IyZTyMTS8Rh1aFOoaRIeCATwox/9iI5bSiQtRylQiwyMNh/U11MVtkT4QACQ5aKaYwHlCzd2\n8AB4nw/cvHnaLm6WMmb9lc2ecLIzikqtxZXRp9o4WgnnqRJeFGIo87RMdcPjGp+EW904ETyFofgQ\nvOecVjAGAww1rnSMCaISESOKR3gh9oQqpgbFIi/l64N10SKtlzanKN40QY2BfvIjTZPwmpoaLF++\nHA6HQ8vLzjn4oSGA49LDRgrF2OBF7MB+qsKWQHojVMSXLTBuxz3QDwsl4Xmh+qqbstgT9kX7YWAN\ncFsnb05rLTXoDp/BSCo8YRIgVcJLQ62EnytHGXNGmVgJBwBfzD8pCQeUG2a88wRkUSxY4kUQeiCd\n/BVRnDGSV7hmFNMcCwCc0wnWZtOVJpzkKDqEH/LDWFu4R7iKydOAGPZTFbYEiv2Qq6jafJIF5Y9q\nT5ipEi7JEvqiA/DaPJMmMgJArXWsOXN8Es46HGAMBtKEF4mQpRI+PDoYyWWZnIRna8401NYBx49B\nGA5ktaAkCD1TbEMgMG5io46qsJUK7/eDtVrBFqjLZxgGJq8Xie5u3RQDNE3C7777bi0vNyeRUimI\noRDMy5YXfY30jttHVdhiKeXLFtCn9kzvTPU798cD4CUejfbMWszxA3sWVLenH2cYBoYaF1XCi2RM\njjKxEq7KUSZqwqf2Clfjyg8NURJOVCSlFGe4qiqwVquuqrCViCzLimlCvTtjA38uTA2NSJw8Cd4/\nWJS2X2s0TcI3bdqk2bVEUcR9992Hrq4uMAyDBx98ECaTCffeey9YlsWiRYtw//33g2EYPPnkk/jl\nL38Jg8GAv/3bv8Wll16q2TpmGiGgHHcVowdXoYE9pcOXoMsHRr+kOY5iUADCFIN6+lRnFMdkmQMw\n3qYws0NK/MRx3VQ+KokxOco5lfBEEAwYVJvGGszqrXVgwGAwi1d42iHF7weWTNOCCWIa4YuwJ1RR\nqrCNSJzuhixJRZ90z3WkaBRSIlF8gWycLGjWJOFLly7N+hzDMDh8+HDB13z55ZfBsiwef/xx7Nmz\nBz/4wQ8AAFu3bsWGDRtw//33Y/v27VizZg22bduGp556CslkErfccgsuuugimEymot9POeFL0Jyp\nmKgKWzKC3w8wjOLqUAQMy8Lk9iDlU3xhi9mxzzVYmx2m5paM1l/ZnFFUxgb2ZLEplGUIIyPpRk0i\nP4RQSDn2Pef7NJAIotpcBY4d29QYWQNqLTV5jK4nhxSiMhFKsA8GlGF6iVMnFYcVj0fLpc0ZSpeK\njrMpXLNWs3UViyZJ+JEjR7S4zASuvPJKXHbZZQCAnp4eVFdXY/fu3diwYQMAYPPmzdi1axdYlsW6\ndetgNBphNBrR3t6Oo0ePYtWqVZqvaSYoVQYBKLt0xmCgKmwJ8ENDike4ofiPiNHrRaq/D2IkTJZU\neeD99F8DWZyV0s4oWZNwdXT9FDaFwwFKwgtEDIUmSVEkWUIoNYJ5Va2Tft5jc+Nw4BgSQgIWg2XC\nczSwh6h0VC0yZ7MX9fq0O0d/HyXhRVLsJGsV1StcL/1auj4P4TgO99xzD775zW/ihhtumGB9aLfb\nEQ6HEYlE4HQ6JzxeyQODxuwJi0/CGZaFcVwVligMWRCUhK2EGADjmjP79fFh1zsMy2aVi/RFfTBz\npgka5PFYDVZYDdapp2ZSc2ZByIIAMRIGd45LUyg5AkmWJjijqKSbMzNIUgx1yqkS2RQSlYgsy6P9\nDKWfUtNE6+JRHWqKzZGMngaAYXQzsEdTTfh08J3vfAd+vx9btmxBKpVKPx6JRFBVVQWHw4FoNJp+\nPBqNoqoqd9XR7Xbm/JlyEIgojVDexe0wl7BGf2szAn29cFkAY5U+36teY5Dw+QBZhqPZW9IaxY55\nGH4BMMeDun2vgH7joCKIAnyxASxwtcHjyf7Z9jjq0B8ZRH29Y4L8h2lvxCAAixDX7XvV47qSfuVm\nZ/fUTVhfwD8AAGiubZi07gXDLXjlLJA0RDO+p25XDeTgsC7frx7XNBfRaxz4kTDkZAL2puLvC7Zl\nC9EHgAsN6fZ9AvqNAQCEY0qO5FnUDkeR6zzjdkMY9Onifeo2CX/66afh8/nwmc98BhaLBSzLYuXK\nldizZw82btyInTt34sILL8Tq1avxwx/+EKlUCslkEp2dnViUhxH+4KA+R8dGevoAjkNINIIpYY2y\nSzmq6Tt4AtYO/Q0GcLuduo1B7Fg3AEB0VJe0xqRVaWYLnOgGu1qf71XPcVDpjfRDlCW4ze4p11pl\nqEK3cBZdvT44TGPHxXFW8coPnumDUYfvVa8xSJw6CwAQzfYJ6zvp6wUAmCXrpHVbJeWmdqL/DBZZ\nJ3dfcq5aJLq7MeAL6aoxTa8xmGvoOQ6Jri4AgOSsKXqNklGZoRLqOqPb96nnGADAyFmlgh1hrYgX\nuU7O7UHy4AH0nx6YkVkqUyX7uk3Cr7rqKnzta1/D7bffDkEQ8H/+z//BggUL8PWvfx08z2PhwoW4\n5pprwDAM7rzzTtx6662QJAlbt26t2KZMYNQj3FVbsouD0aPaFPp0mYTrmVIbP1RMXvKF1QK1KTPT\npMzxjLcpHJ+EG1yKbIJsCgtD9Qg/V46iDuqpzSBHaRg3sCcTxrp6JE6ehBAKkT6fqCj4oVH3ptri\n7wus2QxDbS3JUUqA9/vBWixg7cXp8gFFmx87eAB8fx+4+Qs0XF3h6DYJt1qtePjhhyc9vm3btkmP\nbdmyBVu2bJmJZU0rEs9DDIVgWly6f9fYsBj6sBfKmA1VaUk4V10Dxmwml5oS6VXtCbM0ZaqMtyls\nq2pJPz42NXOyXpzITnpQT9W5g3pGp2VaJifRtRYXOIbDQDzLwB7VIcXvpyScqCjS94USNOGA4lMd\nO3wQUiIB1mLJ/QIiTdojvK6+JMcx0zibQkuZk3D9nAcSEAIBQJanrMAGkyE8dvhXiPDRrD8DjB+b\nTk2BhSJoVAlnGAamBi/4wQHIkqTF0uYkqkd4NmcUldosXuGMwQDO6aTGzAIRRz3CDTXnDuoZrYRn\naJJlGRZuax0GYv6MTeFph5QANWcSlUWp9oQqRq9SIKN7c+FIsRikeLz0GKSnl5a/OZOScB3B5/Eh\nf733Lezu24u3fPumvJahpgaMyUSV8CLgRz3CDbWZPcJlWcZ/H3oCr5zdnfNaRk8D5FSKpBAl0Bfp\nh91oQ5XJMeXPqUlhRq/w0amZ5BaUP1MN6jGxRtgMmbWUHpsbcSGOKB+b9NyEgT0EUUGMWeOVXgkH\noBt3jkpiTCpa/DBDYHwlvPwbIUrCdYSQxzSu/pjyR3M23DvltZQqbANSPh8lHgXCB4ZgqKkBazRm\nfD6YDGFP/zt45eyunNcyeVVZUPk/7JVISuQxGB9Ck92b8/hxrBKewabQ5YKcTEKKx6dlnbORqeQo\nLosrazzcNuX7K5MkRS0wqDZjBFEp8ENDyuCqDMPECkFvPtWVhBYWzoBSlFGKlOXfCFESriPUI9qp\ndtrq0fyZcE/O6xkbvKNVWNLC5ossihACARhqs2+EVI3yQMyPhJCY8nrp6Vx0IlEU/TEfZMhotGce\nVz8eh9EOE2ucemAPnUjkjRgKgTEYJjRAJcUUonwsq187ADRY3QAyN2ca6+rBmC2QRVH7BRPENKGV\nFhk4Z2IjURBaDDMERidaN3iVImWZpaKUhOuIXH9goiTCNzoSui/qgyAJU17P5KHmzEIRgsOAJE35\nIVfdOmTIOBuZ+ovUOBqDFFU9iqIvkp8eHFBOf2otrsxJuIsG9hSKEAqCq66ekHSoziiZBvWopAf2\nZBhfz5rNaH/gG/DccpvGqyWI6UOKRiElElPKIILJEH597Hc5CzPqRGtq2C+cMTmKu+RrmbyjRcoy\n3xMoCdcRwtCQokWuyewa4E8E0om3KIvpqng2xpoPKAHMl3x0f/3RgfR/5zqRoAlppdE7uuFpymFP\nqFJrcSEmxBE/50ZISXhhyLIMIRSCIYMeHABclupMLwOgaMIBYDCLTaHJ7SFXCKKiyMe2dlfvHrx8\n9rWc/VoMy8LoaQBPE60LJlehUpIl/L/3/hPbT+/MeS2jVx/afErCdQQ/5IfBVQvGkNk5Uk263VZl\nN54zAfRSAlgo6ZG4U1bCxzY1ubT5nMMB1uEgOUqRqEl4PnIUYKw589xqOMlRCkOKRgFRBFd9jkf4\nFPaEKlUmJ8ycKePoeoKoRPKRQaj3hdN5SEVNXi+kRALiaN8FkR/CkB+MObtHuD8ewIGhw9jV+2bO\na+lljgcl4TpBFgQIw8NTfsj7Rz/kGxrOAwCcyZEAqnIUskLKn1wVD1mW0R/1ocHmgYk14kwkjy/c\nBi94vx+yMLV8iJhMX8SHalMV7Mb8mqGy2RRSJbwwVGcUQ3UWe8Ip5CgMw8BjrcdAzA9JJmtOovLJ\npyGwL6Ikc2fCZ3Nez6RWYak4UxC83w9jfXZdvioV9cUGJ52Gnkv6lLrMsiBKwnUCP5zbI1zdaZ/f\nsAYsw+JsjgSQdTjA2uxl/yOrJHLJUYaTQSTEJJocXjQ7mtAX9YEX+SmvafI0AKKYTvCJ/IgLCQwn\ng3lLUYDxA3smNiNTJbww0s4oWeUo2ZNwQJGk8BKPUHJkehZIEDMIP3pCmq1IJkhC+uSnJ9IPPke/\nlnF0mB7pwvNHjEUVj/ApdPnjT6lzKQWMOjFNoCRcJ+RjT9gX9cHEGuGxueG1eXA23DtlpSltU0jD\nYvKGT1c8MnuE943qwRvtDWh1NkOSpbRkIhvpL1yqehTE2JCe/KQoAFBrzVwJZ202MCYTVcLzRMzi\nER5Q5Sjm7JpwYHxzJm08icon1wnp+FMfURbTVfFsqJVwnhxS8iYtFZ2iUNk77vd+OseJBGe1gquu\nIU04oZBrp606o3jtHrAMi1ZnM1ISn/MmZ2ygKmwhCEN+cNXVYI2mjM/3jdMotzqbARSgzdfBYIBK\nQr2R5eOMoqLKUc4d2MOMNjxTJTw/hKBaCZ9Y8Q4mgnAaHTBymT30VdzW0SQ8y/h6gqgkeP/UWuR0\nA/nod1WuBJCsawsnX10+A0WqcnokH1mQF0IgACmV0maRRUBJuE7ItdNWnVHUhCTvBLCBBgPkiyxJ\n4AOBvCRBTQUk4UbS5hfFmDNK/pXwKpMTHMNl8QqvgRgOkzY/D4SRyXIUWZYRSAZzSlGAMYcUqoQT\nlY7qET61Fln5bt/UeD6A3M2Z1LBfOLlyJLVQ2eZsgdVgzWuWisnrBWS5rPkRJeE6YUyOkvkPrP+c\no/kWRxMA5GwMJClE/gjBYUAUc+60OYaD21qPRrsHHMPl3SBLLjWFoQ5F8tryT8JZhoXLUpPdK3zU\neo+YmjE5yljCHeGjECRhykE9KlN5hRNEJSHFYnlrkdd5VsPAcDkr4cBow/7gIBUF8iRXJXww7oco\ni2hyeNHmbMZA3I8YP/WEZFOD2iBbPkkKJeE6gR/yAwwDY202LfJoQmL3AABanEoSnssiz7pwEVi7\nfdKxMjEZPsdGSHVG8djqwbEcDKwBTQ4veqJ9EKXsEwBZiwUGlystOSLyoy/SjzpLLSwGc0Gvq7W4\nEE5FJjXMUnNm/gihkDKzwOlMP6ZubKYa1KNiN9rgMNqpEk5UPOkK7FTFmUg/7AYbXOYaNDua0JtH\nc6apwQtIEng/bVTzIVclvHdcobLN2QIgj1Nqb/kbZCkJ1wn8kB+GGldOj3BVjmI1WOC21uFMuGdK\nw39jXR0WPvxvcK7foP2iZxlq40e2isdwMoikmJrQKNjqaIYgCeiPDWR8jYr7lttRd/2fa7fYWU44\nFUGYjxQkRVFJe4UnJzqkmFtbAQAMx5W+wFmOEAqCczgmfB/l64yi4rbWw58ITLlBJQi9k6s4kxJ5\nDMaH4LU3gGEYtFY159mcqY6vpxPSfBD8fjAmE1iHI+Pz6u+7ye5FW5WShOfW5pffKpKScB0gdSiA\nDwAAIABJREFUi2JOj3DVGWX8UXCLsxkxIT7Jju1csunYiInkqnhkcuvIVxfuXHc+qi66WItlzgnO\n3XQWQtorPD6x4u3cdCEWPPQwLPPml77AWY4YCmUY1KPIePJNwj22ekiyhKFEQPP1EcRMIeS4L/hi\nA5Ahp61U20bvCbkSQHViIz84dQGHUOCHhqbU5acr4Y6xSnjOGNTXAxxXVhtnSsJ1gBAcBiQJhtrM\nFVhJliY4o6i0OZQPey6/cCI/cnmEZ0oMW0dlQfk0gRD5U+ikzPFkG9jDMAzJsvJASiYhxeOTPMLV\n32c+mnCAmjOJ2UEuGcS5xZl8E0D7ipWo3nwpbCtWabXUWYsYi0GKRXOaJlgNVlSbqlBnccFusOV0\nSGE4DtaFHVkVCDNB+f5lIk3uhoOhCc4oKi3jEsA17pXTu8g5QK6paH0R9cvWk36s2dEIBgwl4Roz\n/mixUOqyJOFEfmRyRgHGyVHy0IQD5zZnLtNugQQxg+RbnGkaTcIb7Q0wsIacDims2YyGOz+h3UJn\nMWmP8Cw5Ei8JGIz7Ma+qLV0pb6tqweHAMcT4GGxTTFxu2Xp3WeeoUCVcB+T6kPef05SpMiaFmLo5\nk8gPfmgInLMKrCmLR3hszBlFxcSZ4LV7cDYy9eAkojB6oz6wDIuG0WpqIYx5hU8t0yIyI456hJ8r\nRwkkg+AYDk5TZk3muaixG4hTQzJRuQhDfjBmc1Ytcu858wwMrAHN9sa8mjOJ/Mg9LGkQkiylN0LA\nWH6UazPEGAxZ7/kzASXhOmCsAptZjpJtcqDT5ECNuZqqsBogSxL4US/YjM+POqM02Nzg2ImNfa3O\nZiTFFAYp2dAEWZbRF+2H21qfcyhMJlzmajBgECAtclEII8rm5dxKeDARhMtcPUESNxVuq/J9RjaF\nRCXD+/0w1k3tEe40OuAwjQ3yybc5k8iPXGqBczdCANCuyoLyGNpTTigJ1wG5pmVO1aTW4mhCKDWC\ncCoyfQucAwihECCKWaUogcRkZxSVVgfpwrUkmAwhLiQmVDUKgWM5VJurcjYsE5lRfdTH6+d5SUAo\nFc67KRNQTolqzNWkCScqFjEWVTzCs9ybk2IKQ4kAGh0T781qc2Z3Hn7hRG7y1eWPd9PK1yGl3FAS\nrgPUP7BsjZmZnFFU8nXnIKZGyLHT7puiUZBioC1jXe6F68FV6iwuBJMhsscrAjGoDuoZq4SHCnRG\nUfHY3BhOBpESyzcWmiCKJa1FznOInkqbU7FDPaPzBLBSyDXMcKyRf+ye4TLXwGG0UxJO5Ebw+8FV\n14A1Tj56z+aMokLuHNrAB9SdduaNkOoD7s2QhOc7OInID3XDU0xTpkqtxQUZMoJJmo5ZKJkaM9VT\nhdo8mzJV1OZMkmoRlchYv1bm+0JvliS8Kc/mTCI/+CHFI5wbNzxsPH1RHxxG+4R+FYZh0OZswVBi\nGBE+OlNLLRhKwsuMLEnghwNZK7D+LM4oKi2jNoVnIpQAlkKugQxjziiTk3CrwZrX4CQiP6b6XedL\nNptCIjdCcLIcpdBBPSoeq+qQQpIUovLIPTsic8GAYzlqztQQfii7Lj8lpjAUD2S8X6iSlDMj+t0M\nURJeZoTgMCCKObVOqjOKLMs4MxBJJ3u1lhrYDTacpR13SeQayNAX9cHAcOlmM0mWJyTcLc5mRIUY\n6ZA1oDfaP+F3XQyqdGuIkvCCEUNBMGYLWIsl/dhwUk3CXQVda6JNIUFUFjntCacoGKjNmb2Rvulb\n4BxAjMchRaNTSIImDksaTyVo8ykJLzO5un7PdUb5494zuP8/9uCld5Skm2EYtDibMBgfQlyIz8CK\nZydTfdlKsoS+mA+eUWeURErAvT95Hf/+u4Ppn2lLn0jQZqgUJFlCX9SHBrtnkgtNIVAlvHiEkVCG\nQT2qR3h1ppdkhQb2EJVMul9rivtztakKNqMVkiTjZO9IujiTduegAllJ5CqQnTvYjRdESJISg3wH\nJ5UT3SbhPM/j7rvvxm233YYtW7bgpZdeQnd3N2655RbcdttteOCBB9J/7E8++SRuvPFG3HTTTdix\nY0d5F14gY40fue0JU7yI597oBgA8tbMToUgSwHhNMu24i4UfGgLncII1myc9N5wIITXOGWXHu73w\nhxLYc3gA7x5XKnxqcyadSJTGUHwYvMSXpAcHxg/soZOJQpAlCeLISPZBPQXKUeottWAZFgNxqoQT\nlYfgH9UiOyZrkeNCAsPJYLoC+4c3uvF/f/5WukDWOpoAUnNmaRQyyTqW4HH3/3sdP/rtfsiyjBpz\nNZwmh65tCnWbhD/zzDOora3FY489hkceeQTf+MY38O1vfxtbt27FY489BlmWsX37dgwODmLbtm14\n4okn8Oijj+Khhx5CKlU5nfj5WO8ozigu7HyvFyMxHs1uO+JJEb98+QQAqsKWiixJEIb8U1Q7xnba\nvCDihT2nYTZy4FgG//PicSRT4oTppUTx9GrQlAmMySaoEl4Y4sgIIMuTBvUMJ4OwGqywGixZXpkZ\njuVQZ3FRJZyoSNTZEZm0yOMLZMmUiD/uPQNAKZAFI0lqztSIXLr8sXtGA15+twcj0RTePe7H20cH\n082Zw8mgbm2cdZuEX3PNNfjiF78IAJAkCQaDAYcOHcKGDRsAAJs3b8bu3buxf/9+rFu3DkajEQ6H\nA+3t7Th69Gg5l14QsigCLAtTU9Ok58Y7o4gi8Nybp2Eysvj7m8/DPK8Tbxz04XD3MFrSVVhqziwG\ncWQEsiBk7YAf/2X72vt9CEVTuGxdM67Z1IahkQSefb2LBidpRHrD4yi+KRMATJwRTqODNOEFkskZ\nRZZlBBLDGS1S88FjcyPCRxHjY5qskSBmAjEWgxSLwVCbqzjjxavv9yIS59GiFsheOqE0ZzqoObNU\ncqoFIookyAAzXtx7BmYTBwPH4PHtxxFPCrqXpBjKvYBs2Gw2AEAkEsFdd92FL33pS/jOd76Tft5u\ntyMcDiMSicA5zrbGbrcjEsm943G7M1vdzDR1n7gVyeuuhDVDEt4XHoAgCZhX24L93cMYDifxFx9c\niI55dfjizefhK/+yE49vP46Ht34QZoMZffF+3byvfNDLWpMsj5Msi9plizOuafikMnlxSfN8PPjb\n/TAaWNx6zTJYLQbsPTKAF/acxp9dshAdde14q/d9GB0SaqyFaWfLiV7iAACBE8oX7sq2DrjtU69L\nlmXEkwJslsxTNT3OOnQHe1BXb897ymO50EsMAt2KxK26yZNeUzQVQ1JMocFZN2mdiZSA/32lExev\nbkJrQ+b30F7XhINDR8Cb43DXlba5mk70EoO5jl7iEO1SvouqWhszril4ZvS+0NiO7z7TCZORwz9/\n7gP4v//xJt485MMNlyzEEvd8dI+cQdw4gqba9hldfynoJQYAMBRWpHDeJfNgqpm4rhgfx3AyiNUN\ny/B+1zBGYjxuvKwDBgOLX754DC++04M15y/Cc11/wpA4CLd7QznewpToNgkHgL6+Pnz+85/Hbbfd\nhuuvvx7f+9730s9FIhFUVVXB4XAgGh3zgIxGo6iqqsp57cHB8LSsuSiMTkQyrOfgYCcAoJpz4Ynn\njsLAsbhkpReDg2HUWAy49LxmvPxODx5/7jCa7V50jZxBT38ApiJGfc80brdTRzEwYsH3fgDOWZVx\nTaeGzsLAcHjr7RAGhuO4fF0zhCSPcJLHTZd34F9/sx//3xPvYMUFioPNvu5jWFG3dKbfRFHoKw7K\n79rEmSBHDRiMTb2ubX88il37+/CVm9ZiUcvkKm2VoRqC1I3Onl7UFNhQOJPoKQYj/UrikTTZ02vq\nGXV3sLOT1/m/r57E73Z14YXXu/DAJzdk3BA5ofzuj/Z2o1oq3vFmOtFTDOYyeopD5PhpAIBgq864\nppN+pbJ6cH8Cg8NxXHF+C4QEj5sv78A//fdb+Ldf7cO11yqNye+dPoYqsXbmFl8CeooBAER6+8EY\njQimWDDnrOtUSOmRqzPW4dfbj8PAMbh4RQNsZgNe2nsav9t5Eh1tyr34cP9JDHrK876m2tTotjzk\n9/vxqU99CnfffTc++tGPAgCWLVuGPXv2AAB27tyJ9evXY/Xq1XjrrbeQSqUQDofR2dmJRYsWlXPp\nmtEXVQbEjAyZ4A8lcMmaRricY42DN25egCqbEc/s6kK9qWHUWaK/XMutaAzVNWDYyR8HSZbQHxuA\nx+bGc2+cAccyuHbTWEXjvEVurO2ox5HTQcSCdgCkCy8WURLhiw2i0d6Qs3LdMxjBjnd6kOIl/Pi3\nBzAcTk76GVU+Qc2Z+WNfuRr1W26C47x16ceGswzqGQ4n8fybp8EwgD+UwH89fzSjT/6YTSHpwonK\nIbdzWT9qLS68uKcPLMPg6o3KlMx53ipcfl4L+gMxnO5WHJ6oObN4pvIIV/XgybANA8E4LlrZiBqH\nGSYjh9s+tASSLON/X+pFlcmpWzmKbpPwn/zkJwiHw/jRj36EO+64A3fccQe+9KUv4V//9V9x8803\nQxRFXHPNNaivr8edd96JW2+9FR//+MexdetWmEymci9fE9SE+p33k6PJX9uE520WI266fBFSgoTT\np5RQUgKoLcMJZeS2WapBfyCGC1d6UVc9sTnt1isXwWRg8dqbiuaVYlAcA3E/RFnMqynzqZ0nIQM4\nf7EboWgKP/7tfvCCNOFnyKawcDi7HbVXXzvBIzyQxRnlqVc6kRIk3HH1EnS0VOOtIwPY+d7kvhTy\nCicqEdUaL5M/dZSPIZQKww4XevxRbFregPpqa/r5j2xegCq7CTvfGAHHGHTtzqFnpEQcUiQypUUk\nABw+IoABcM24HGn1wjqcv8SNEz0hOGQ3gskQQkn9VPhVdCtHue+++3DfffdNenzbtm2THtuyZQu2\nbNkyE8uaUfqjA+AYAwZ8wAdWeyd8yFUuWNGAne/14ljXCCwrKQHUGvVD7uvlwDDAn10wWddXX2PF\nDRfPw29e6YRTtlAMiqQ3MtblPhWdPSG8e9yPjuZq/N1HVuJnzx7CGwd9+J8/HcPHrxmTAaVtCuOU\nhJfC2KCesSS8q38Euw70o9XjwObVTVg1vw4P/OcePP6n4+horkaze2x8dI25GkbWgIE4VcKJysG6\nZCmSvT0wt7ZMek69Lwz7lYLftRecWyAz4ObLO/DTZw7BnqpGL3zgJQFGVrcply7hA8p3d1bThNFh\nSb09LM5f4oa31jbh+VuuWIQDJwPoO2sAGpQTiWrzsulddIHothI+11GcUQaAhAMMw2RM/gBlWM/t\nVy8Bm3QCMoPTOh7PWomM/7LdsNSDhnM+5CpXb2xDY50dyRHFkYOcIApnzBkleyVclmX8eofSK/GX\nly4EwzD4+DVL0dbgwCv7erFj39jfv1oJH0pSEl4K6kmCa1SOIssyfrldsUe96fIOsCyDumoLPnHt\nMqQECT95+iBSvJh+PcuwcFvrMRAbzChXIQg94lh7Hlq+/PdgjZNP1tXvqoDPiDUL69AybtOpsml5\nA5a1uxAN2GhyZpEY3fWo+sBmVF/ywYzP90X7YRDtgGTAdRlypNoqCz78gflIBJX46FGSQkm4TvHH\nh8BLApJhGzYua8ia/AFAc70dV21ohxRz4mykD6IkZv1ZojDUJFyOO3D9hfOy/pyBY3H7hxZDiipN\nwd20GSqY3tHf9VRylIOnAjh6JojVC+uwuFVJCs1GDp//yCo4rEY89sdjONGj2OyRHEUbhhMhMGBQ\nY1b+tt897sfRM0Gs7ajH8nljzWbnL3HjsnXN6PFH8cRLJyZcw2NzIymmMKJTr16CKITe0QqsFHfg\nugunKJBdtRiIK43JJ4dPz9j6Zgus0QTvJz4Fy7z5k55TJUHJsA1L22owvzGzIceV61vgtTYCAA4P\ndE3ncouCknCdoh6zyHEH/izLh3w8f37RfBj5GkgQsb+XPuxacWq4B7LEYHVLK1o8k6sd41k2rxYd\nLqU5Z+exwzOxvFmFgeHgsdWjypS5k1ySZfz6FaUK/tHNCyY8V19jxWc/vAKSLONHv92PYCQJq8EC\nq8FKjZklMpwMotpcBY7lIIgSnnz5BDiWwZbLFk762Zsv70CL24Ed7/bgrSMD6cdJF07MJrqCPZBl\nYEFdU0ZnJpXGOjsuWqhI5HZ1Vs78kkpALZBJMUfGKriKgWPx8SvXQE6ZcSp0BqIkZf3ZckBJuE55\nr6cLADDf1ZTxqOtczCYOG+cprjBP7XmHjn01QJIlDCYGISccuOGiBblfAODGTYqrxPu9JzESrZzJ\nrXrg48tvxj9s3JqxCx4A3joygNO+CC5Y3oC2DJ7Uy+fVYsulHQhFUvjxbw9AECXUWmoQiAfo81Ak\nkiwhmAylnWZeeqcHA8NxXHpeMxrr7JN+3mjg8NkPr4DJyOI/nzsCfzAOAPBYR5NwGl9PzAJ6Iz7I\nSRuu3zR5I3ouWy5YC0gseqK9ODtIJ0FacXRAKTbWGuuxYv7U9o+LWmpQwzVANiTw7J4jM7G8vKEk\nXKfs71X8L69duyLv11y4YDEAwJfox5uHfNOyrrnEvu4zkBkRTrYWC5pye88DwII6L4wwQbKE8Ksd\nJ3K/gEjDsVzWxiVBlPDUzpPgWAZ/ccnko0mVqze2YtPyBpzoCeF//nQctRYXUhKPKGn0iyKUHIEk\nS3CZaxCJ83hm1ynYzAZ8+APZY9BUb8dtVy5GPCng3585CEGU4LEpfslkU0hUOl2DgxCYBMxiNVYv\nzO17bzOb4LY0gLGGse2FQ1QQ0Ii3u08CAC5Zujhr4WY8G9uVIuXzBw4gMJKY1rUVAiXhOuTYmSAi\nUgCMzGF1a2ver1PG1zPg7GE88dIJxBI0KrcUnn/vIABgVVP+k84YhkF7dTNYSxS7Dp7FsTMkhdCC\n197vw8BwHJvXNsHjyt4fwTAMPnHtUrR6FElEIqI0VZEuvDiGk4q+3mWpwe92nUI0IeCGi+fBYZ16\nINgHVjdi4zIPOntG8PRrp8grnJg1/GGfcl9Y4m7NK/kDgKXueWBYGSeGe7D7AM3yKJVQNIW+mA+Q\ngcuXL8nrNYvqlPu4aB6e1LNSTigJ1yHP7D4JxhqF2+IuaNy2mTOhweaG0RnBSDSJ3+48OY2rnN2c\nGYiga1jxPC4kCQeAtqoWgAFYWxjb/ngUgqgvDVqlkeRFPL3rFExGFjdcNC/nz5uNHD7/0VWwWww4\nclypeFASXhzDo783g2jDy+/0wFNjxeXrJlu2nQvDMLjz6qVw11jwh9e7cbpH0eiTTSFRyYzEUtjf\n2wUAOK8tP4kiALQ5lc+MyTmCJ18+gUicn47lzRle3HsajCUMO1cNq9GS+wUYi4GjLoa3jgzgwMmh\n6Vxi3lASrjNO9Y3gUG8PGFbCPFdTwa9vdTZBQApuj4yX3j2Lrv6RaVjl7Of3r3eBsSn6vaks8zLR\n6mwGACxezKBnMIo/vaU/W6RK4qW3zyIUSeFD61tR4zDnfgEAd40Vn/3wSohJ5Qu6Z4SSv2JQm1r3\nH41BlGRsuWwhjIb8bhs2iwF/8+crwbIMHnn2MOrMdfDH/JBk2pQSlcn2t85CMisDX1qc+d8X2kbv\nCe3zZYRjPJ4abTAnCieeFPDy/lNgjDzmu5rzfp3T5IDLXAODYwQsA/zij8fAC+V3kqMkXGc8u7sL\njHU0+bNNPbQkE2oCePFGG2QZ2PbCUUgSadAKoT8Qw97DA7A44zCwBrituXV/41Fj4G5MwWE14unX\nTulKg1ZJRBM8fv96N+wWw6SJsblYMb8Wl69UdIA7D52gE4kiUAf1dHbxWNxSjXWL3QW9fkFTFW78\n4EKEoikEh4wQZJHcaoiKJJ4U8NI7Z2GwR8GCRYMt/89Co70BBtYA2RpEU70dr+zrRWdvaBpXO3t5\nZV8vkqzyHdJSYIGsraoFUSGKS9a7MBCM4/evd0/HEguCknAdcXYggneP+1HfoBxVNToKT8JbHKPV\nc+sINi7z4FRfOOMoaSI7f3i9GzJkwBJGg60wSRAARRLEGtEX78PHLutAkhfx+Pbj07Ta2c3zb55G\nLCngugvaYbNMrUPOxPXnK9PRQnwIT1AMCiYQV252csqCm65YlLcGdjxXbWzFyvm1GPYrTbdkU6g9\nsQRPbkzTzM73ehFN8DDYI3Db6mDk8v8+4lgOzY5G9EV9uOVDCyCDCmTFIIgSXnzrDIzOKABlc1MI\nqiRl+TIOLqcZf3ijG75AeZv2KQnXEc++3gUAaGhUKnbeEirhZ8I9uPmKRbCYOPzmlU76gs4TfyiO\n1w/2w9MACLJQ8IccUCYEtox+4W5YXodFLdV4++gg3u/UhwatUghGknhx7xnUOEy4/PzcOuRMOEx2\nmFgjTLYkXnqnB6++TxvSQjgb9EMWOVywpDXrMIxcsAyDv7p+OSyyMrTkcD/Js7QkHEvh/v/Yi6/+\nZDf2HCZXrOmAFyS8sOc0zFYBAlJF3RfanS0QZREOVwIXrfTitC+Cl96hz0IhvH6wH8PhJJqalRyp\nUKlo+2gS3p/owy1XLIIgyvjFi8fK6lhDSbhO6BuKYu/hAbR5HEiwQRhZI+qsroKvYzfaUGtx4Uy4\nB9V2Ez6yeQGiCQF7xw3OILLz/JunIUoy1q1WtMTFfNkCymZIkiX0x3y446olYBkGT79GjbKF8Myu\nLqQECX/+gfkwG7mirsEwDGotLhhtSdgtBmx74Vjau5qYmmRKVOQovAV/+cHcfshTUWU34SMXrAIA\nvHrkOOJJcm7SAkmS8dPfHcTQSAKCIOMnTx/EE9uP624gSaXzxsF+BCMprF6puC01TjHVNxutowng\n6fBZfOyyDtjMBvz21ZMIRpKarnW2Iskynn/zNDiWgckRBcuwaevTfGmtUoqUp0fO4vwlbqycX4uD\npwJlzY8oCdcJf3ijGzKA6y5sgy82AK/dU7AMQqXV0YQwH0EoNYIrzm/B3/3FSlyworhkci4RiiSx\n870+1FdbUFWnfDGWkoQDwNlwL1o8DvzV9ctw2XnFVXPnIr7hGHa+14sGlxUfWNVY0rVqLS4kxAT+\n6sOL0dFcBY6jr718ePaNE4AhhTqrC7VV+TkQTMUFCxU3iQQzgt/tOlXy9Qjgf187hYNdw1izsA4P\nfnojGuts+OPeM3joiX10+qkRkizjudHkr7VVqZgWc19QmzNPj/Sgym7CjZcuRDwpYt9xahrPh/eO\n+9E3FMOm5R4MJgfhsdZnnSuRDYfRjjqLC6fDygnEbVcthoFj8fyb5ZsyTncjHeAPxvH6AR8a62xo\nb+PAS0JRUhSV8QkgyzBYv9QDexF62rnGC3vPQBAlXHdBO3wxZWdcbBLe4lS0+acjPQCAC1Z48YHV\npSWTc4n/ffUUREnGRzYvgKHEpFmd9ljvlvHVW9fB5czPYWUuMxxO4sX3FA19h6fwql8mrAYLqkxO\n2KqTWDzFqG8iP/ad8OPZ3V1w11jwVzcsR3O9HffduR7rFrtx5HQQD/7XXmr+04B3j/nRH4jhwpVe\nhERFUljMfaHR3gAja8CZ0QTw0rVNuPvmtbhwhTafr9mMLMv4w5tKE+XF62oRFxJF35vbnC2I8FEM\nJ4NocNlw15bVuPHS0k76SoGScB3whzdPQ5JlXH/hPPSPJn9NRf6BAWMJ4Jkw6V/zJRLn8fK7Pahx\nmHDxqkb0R30wsgbUF+iMotJo94JjOJwJ92i80tnPaV8Ybx7yob3BifVLPSVfr86ijDQmr/D8eeqV\nTgic0rDkthUui8uGx1aPFBPByg7trjkXGQjG8cgzh2A0sPjcR1aliyxWswGf+8hK/OWlCxGMJPGd\nx97Bjn09NKWxSGRZxh/e6AYD4NpNbeiL+sAxXHr4VCEozZlN6I36wIs8GIbBsnm1MJuKk9rNJY6f\nDaGzZwRrO+ohmxXb5UL14Cpqc+bpEWUztGJeLVbMm3rs/XRCSXiZGQ4n8dr7vXDXWLBxuQf9UaWx\nphhnFJV0c2aEEsB8+dNbZ5BMibhmYxs4DuiPDqDBVrwkyMga0GRvQG+kD6JUfi/SSuI3ryja+Rsv\nXQC2CDeOc1Er4WSNlx9d/SPYdaAfdfVK4uayaJiEW+shQ8ZQnJqUiyXFi/jxU/sRSwq446olaGtw\nTnieYRhcd0E7tn5sLSwmA37+/FH853NHdOGJXGkcOR3Eqb4RrFvshrfWhr6oDx5bPQwFyiBU2pzN\nEGURvVGamlkIf3hDqYJfe0Fb+ndXdCW8StXm6yM/oiS8zOza3wdBlPFnF84Dx7LoG03CS5GjVJuq\n4DQ6cFYnf2R6J8mL2P72WTisRnxwbTMCiWGkJB5ee2lV2FZnM3hJgI8s2fLm6Olh7D85hKVtNZpV\nJ2pHG5ypEp4bWZbxy+3KSOelHYoO3GWu1uz6aiOVj8bXF4Usy9j2x6M4PRDB5jVNU0rcVsyvxT9+\nYj3aG5x47f0+fOsX72AoRPMKCmEs+WvHcDKIhJhEUxFNmSrjmzOJ/Dg7GMH7nUPoaKnGopaadI5U\nrFogrc3XSQwoCS8zqxbU4YaL5uGilcoHuy/qK9oZRYVhGLQ4mzCUGEaML68HZiUgiBJMRg4fuWQ+\nzCYu/SEvpgN+PC3j7CKJ3MiyPK4KvrAoT+pM1I5WcocoCc/JsTNBHD0TxNqOehisSnOyepKgBeox\nPnmFF8cr7/Vi1/5+tHuduO1Di3L+fH21FV+7fR0uXuVFV38YD/7XXhzqCszASiuf7v4wDp4KYGlb\nDRY0VY27LxRfIGtXq7AjdE/Il+feUJomr9vUDgDoi/hgYDi4rYVLggDAZrSh3lKL0+GzupBpURJe\nZtq9znTzmSRLijNKEQNizmXML5x04bmwW4x46HMX47J1yhekFl+2wETPdiI3750YwomeENYtdmNh\nk3bV1yqTExzDUSU8D2qrLNiw1INbr1yE4VH5To1ZyyRcqYQPxqkSXiin+kbwPy8eg92i6L6Nhvy0\nxCYjh09dtwx3XL0E8aSAh365D8+92a2LBETPvHVU6c+67kIl+euNlCaDAACvzTOhOZPW6Z8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Ahgz5492Lx5M+bPn49FixbBYDDgy1/+MhYsWFDut1DxUAzKD8VAH1Acyg/FQB9QHMoPxaBy0X0S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\nwomIiIiI1tg/L5gG4uZVWHIAAAAASUVORK5CYII=\n", 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pu3MGu3X0miedTAatovj91xZSOrIPsnjxU8yd+6s2n7/77nk8/njb1u5BtiW0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XRNUdHXpqAvL4NpMgAbQHfwD4DDwT8Bi6bNx9qNV2D+zj4cefBBHHnicRzZ+gQKZ5yJjosuhjHn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\nLuQmQesgH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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -834,7 +960,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 29, "metadata": { "collapsed": false }, @@ -842,18 +968,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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QZRmCIGgd1rwXiedgs+gRzY1hsS141M9cTcKziANwctfMWehPDkGSJXTNcJOe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\nRKNR/uAP/qDy+FKppAwWiHlrR3nyySf55Cc/yaOPPkooFOKNN96gvb2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Wtu9LY8m/zsCk0alBWq03Q+k4DFfD8Rh8tKMNd/3pHUwancKUsVVY+fZu3Hr1DExsLO28\nqK/v/fsoA12hFi68AZ2dnd3+LplMYdmynwzSiggZHHndnkIYc3s7l8jtBS07jydkqHPLmQBANTU8\nu+V5XHnMZd2+h2MMl505BT/5r3fx6Iub8X+uOGEwlkrIoDNME4/8j12aeuWco/DepgMAEFpZHwXQ\nFeCWW5Yc8nd33HH3IKyEkMrj1np6roF2ekHLBgXQZHhQVAMsouOwWD0iPI/X976FM8d/DuNTY7t9\n37FNdTiuqRbrtrZi/bZWHNtUN0grJmTwrHx7N3btz+L0aWMwZWw1Pt7ZDgChtTYdsE2EhmHg5ptv\nxrx58/CVr3wFGzduxPr163H66adjwYIFWLBgAf76178O1HIIIUOE4gTAXgNoN2OtQ4Vu0IhjMvTJ\nmg5wBuJCDJcccQEsWHh807OHdFACgEvPPAIA8OiqzT1+nZDhrCOr4smXtyAeFfAvZ9qNGaSonTPO\nq0MsA/3CCy+A4zgsX74ca9aswT333IOzzjoL11xzDa6++uqBWgYhZIhRTTsDHfW8idDOQEPQIasG\nkhI1HSJDm6xpYJyFmBDFMaOOwrF1R2N960dYd2ADph52TLfvnTQ6hVOOacCaD5vx1kf7MeNTDYO0\nakIG3qOrNiGvGJh/zlGoitszBCRnAFFYJRwD9okye/ZsLF26FACwe/duVFVVYd26dVi1ahWuvPJK\nLFy4ENlsdqCWQwgZItwA2msG2q2BZryGHLWyI8NAXrfnBkii/W/7S0ecDwaGxzf9BYZ56G3pL82a\nDJ5jeOzFzXQXhowYm3Z34NUP9mFCQxJnnthV3lTIQA+1ABoAeJ7HjTfeiDvuuAMXXnghpk2bhhtv\nvBF//OMfMWHCBNx3330DuRxCSIXTDRMWc6av8d7Gr7oBNHgdMgXQZBhQnADavZgcmxyNz409BZ/k\nmvHqnkOnxDbWxnHKMY1obstjTwslqMjwZ5oWHnm+a+Mgz3WFuVLUHjAXVg30gG8ivOuuu9DS0oLL\nL78cy5cvR2OjPaFv9uzZuP322/t9fG1tHIJw6BhTL/pqS0IGBh2DylDpxyGdUwHeDn7ra2s8rXeM\nNQoAwAQNESlSsT9rpa5rJBkqx0C3NABAdTJRWPNXU5fgn395D3/d/g+ce9wsxCNSt8dMHFuF19bt\nq+hzwFXp6xsJhvox+Nvqrdj+SRpnnzwBnz1xQrev5XRnLwDHQvk5ByyAfuqpp/DJJ5/ga1/7GmKx\nGBhj+OY3v4lFixZh2rRpeO211zB16tR+n6ct4HSl4djncKihY1AZhsJxONAhd7Xtypme1qtk7DdL\nxuvY+0knRld5KwEZCEPhGAx3Q+kY5JyWjJbKFa2Z4ZyJZ+LpLc/hkX8+jYuPOK/bYyzdLt2o1HPA\nNZSOw3A11I9BOqfi939ZDynK48JTJx7ys+Sz9h2c1o58yT9nRfSBnjNnDm6++WZceeWV0HUdCxcu\nxOjRo/HDH/4QgiCgoaGhUCNNCCEAIGsGGO+WcHifRAgA4DXIId2yI2QwaaYKhkPPhbMmnI6Xd7+O\nF3a+jNPGnYrDpK62dfGY/TGfk6mMiQxvj724BVlZx5c/fySqk4d+Xrg10GF9HgxYAC1JEn72s58d\n8vfLly8fqCUQQoYYRTUKJRwxj104CpsIBZ02EZIhz7IsaKaKCA49FyK8iIumnIvfrV+Opzf/DddM\nnV/4WjzkjVOEVKKtezvx8nt7MK4+gc+fNK7H7/nrjr9CnLIJOeXMUF6T+joRQiqWrOpgvJ0t8JqB\njhVtIqTggQx1mm4Wypl62lB7UuN0TKqagH82v4ctHdsLfx925wFCKo1pWfjj8x/DAnDlOd03Dro2\ntW/FC7teAV+3D3lFC+V1KYAmhFQse3Sxk4H2GEBzjEOEi4LxWmiN8wkZLLLWdTemp4tJjnH4lyMu\nBAA8vvGZwvCUrgCaypjI8PTK+3uxdW8nPnNsI46eWHvI103LxKMbnwYAMAbktHwor0sBNCGkYtk1\n0P4y0IATdAs6BQ9kyFPU4nOh55aOU2qacGL98djauQNvN78HoKt1Vy6krBshlSST1/Doqs2IRnhc\nftYRPX7PG3v/iZ3p3YX/lg0llNemAJoQUrGKa6C99oEGAEmQ7Aw03b4mQ1zx3Zi+LiYvmnIeeMbj\nqc1/g2ZohRroHF1EkmHoiZe3IJPX8MXPNaE2deh5Iesynt7yHEROxPR6u9ObYsihjLenAJoQUrFk\n1QDjdPBMAM957/+eECWA1yn7Roa84rsxfW2orY+PwhnjP4sDchtW7Xq10IWDLiLJcLN9Xxqr3tmN\nMaPiOOfkCT1+z9+3v4BONY1zJp2JsQl77ojJaVD14JM5KYAmhFQsRTMA3kCEec8+A0BclOyaN1UO\neWWEDCxFK/1uzLlNn0dCiOO5bSshm3kIPKMAmgw7/7ViIywL+Mo5R0HgDw1nW/KtWLnzZdREq3HO\nxDO6bSwPYzotBdCEkIpl133qiPgo3wDsEg4gvE0jhAwWu4TDrYGO9fm9cTGOcw+fDdmQ8det/4AU\nFSiAJsOKZVnYuKsDkxpTOK6prsfveXLTX6CbOi6ech4ifARx5/OA8VoorU0pgCaEVCxZs4MGPxsI\nASAu2oGGbFAGmgxtpWwiLDZr3Ew0xA/DK3teRySZo0EqZFjRdBOmZSEZF3v8+sa2LXhn/wc4vGoi\nTm48AUBRa1NBh6wG3xNAATQhpGLJqgbwOiSPQ1RcbgaaAmgy1NkXk3YQHOF7DhqK8RyPi6ecD9My\noTeupww0GVbcADgWOXRvjGmZeMxpW/cvR34RjDEAoAw0IWTkyKsqGCvKHHjkTiNUTSWUXdeEDBY3\nAy0yERwr7aN72mHH4oiaw6FKe6HxaehG8I1TBNjZnMEPfrUaT7+ylX6ng0TWeg+gX9/7T+zM7MGM\nxk/j8OqJhb+XqAaaEDJS5HQ7cyyJfjPQ7humFsotO0IGi7uJUORK3w/AGMPk6ib7z6JKWeiQbN3b\niZYOGU++shVLf/cmtu7tHOwljThuAByLCN3+Pq/LeHrL3xDhRFw0ZW63r7mfB4zXKQNNCBneFKfh\nveQ7A23fsgMfTs0bIYNFUQ0wzkCU83Yx6d62hhDObWvSVT7QNDqFXfuzuP0Pb+HPL2yCqtF7zEDp\nrYTj+e0vIK1mcM6kM1Ebq+n2NffzgAka5BD6ogv9fwshhAwORVcBeB/j7SpkHAQ749BTo31ChgJ3\nlLfXjjRddZ86ZaBDIqv27/FfzpgCjmP43d8+xHNv7MDbH+/H1ed+qsdx0iRcPQXQLflWrNzxEmqj\nNZg98YxDHlPcxi6Mc4Ey0ISQiuVmoKM+NxEWsm80jZAMcbKqg/FGn0NUeiKJXRnoPHXiCEVx8HbM\npFosvfYzmDNjAva353HXn97BH/7+Eb3flJlSqIHuygM/sekv0C0DF085t8cLTZETIDDBvphUKYAm\nhAxjmhVSBjqkTSOEDBZZc8uZ/JVw2J0HqMQgDMpB2c+oyOPLnz8Styw4CWMPS2DVO7ux+Ddv4P3N\nBwZzmcNaVw20fQw2tm3Gu/s/wOFVk3CS07auJzE+Zl9MUgaaEDKcqaYdQPvtA11c80b1n2Qoyxc2\n1HrbDyCFfNuadJVwHLyBbcrYaiz51xn44uea0JFR8bP/fg8PPrMembw2GMsc1ty7AFGRh2mZeHTj\nMwCAy47qalvXE0mIOeVM1AeaEDJM6YYJk9kfPKUMjugJBQ9kuJB1OwPtuYSDLiJDVyjhiB7aQk0U\nOFx8+mT8x7/OwKTRKby2bh8WPvg61nz4CbXSDFHhIibK4/W9b2FXZg8+M/okTKqa0OfjJFEKraSP\nAmhCSEVSta7RxV6DBpfACeCZAMZroWQcCBks7n4Ar+VMcZE2EYatOPvZmwkNSSz66km47KwpkFUD\nDzy1Di+/v3egljjsuX2gGW/g6c3PIcKJ+OJBbet6khAlMM5CTlUCr4ECaEJIRZJVA4y3P/D9lnAA\nQIyLAQIFD2RoK5Qzec1A8+74YtpIGxZZ1SHwHAS+7xCK5zic+5lJuOHLJwIANu3uGIjljQjuRczb\nHauR1jKYM+ls1ESr+32ce1fSnTEQBAXQhJCKJKt22y7AfwYasINvyr6RoU413P0A3sqZeI5HhIuE\nNr6Y2O9NPU3A601jnX0XgLqghEdWDLBoDm+2vIHaaA0+P3FWSY9zS5ryej7wGiiAJoRUJEWzRxcD\n/rtwAM4tbF5DTqWNPGToCtKRRhIk+y4MBXCh8BpAS1F7syFdwIRHVnWIEz6CYRn40hHnIcKLJT3O\nzUArBmWgCSHDlKwaABe8hCPu1rwpalhLI2RAmZYF3fJ/LsRFiTLQIZJV/ZAOHH0ReA5RkUeOLmBC\nI2s6uJpmNMYb8OmG6SU/zs1Aq5YCM+CmTgqgCSEVSQmpBjopxgEAWS34LTtCBoOqdZUz+RkqlBAl\ngNeRU+guTFCWZdkZ6B46cPQlHhOQlen3HxZZ1cA4C7XR6j7b1h2s+2yAYBvLaZQ3IT7phon2tILW\ntILWThmtaQVtnQpa0zLG1SdxyazJg73EIU3WdMAp4fDbxg4A4k7f3DwF0GSIsi8m/Z8LkiCBMToH\nwqDqJiwLnko4ADuAbk8H7/xAbPlCW0f/fdFlVUc85j8MpgCakH5s35fGh9vb0Nopoy1tB8itnQo6\nsyp6uwH0zsYWfPFzTf3u0ia9U1QDjNPBQwDPefuwKlbYNBJCzRshg0HWgpUzxQsbp+gcCEpWDUCU\nsb/6VbzTzOOE+qklZUDjUQF7WrIwLQuch4wp6ZnsvJ973RNQnIHOKTrqAqyBAmhC+nHPn99FZ67r\n1pvAc6hLRXHUhBrUVUVRVxVDXSqK2lQMdVVRPPHSFry3+QCyeQ3VSf+lByOdohoAb0Dk/Gefga7g\nIYxNI4QMhuIMtJ9NhIUA2qAMdFCyqoOvbkGnuB3/ufZhHFkzGZce+UWMT43t83HxqADLso+lu6mQ\n+KcawQYLQdCohIOQctINE505DRMbk/jXcz+FulQMqbjYZ8ahtsq+ws1QAB2IrNk10BFOCvQ87i0+\n1aLbp2RoUoproH2VcNjngMk0aLoBUfB/R2ekk5WuY1EvjcLG9i24882f43NjT8EFk7+AVCTZ4+Pc\nUoGcrFMAHZBlWVBNFSJ8DBYSugYLBd1US0eRkD64J1h9jYSm0VUlPSYp2e10MnnaMBKE2wc6SP0z\nAMSd4MGACt0wqayGDDl2OZNTA+1jE6EkdmXdcoqBagqgfZNVvXA34IqjvwTLsvDYxmfwyp438M/m\n93Be02zMGv9ZCFz38CoetT8XcoqOUQO+6uFFN0yYzP589V8DHXywEH2SENIHt+1QwsNGAwqgwyGr\nOsAZgTpwAF3BAxOCZxwIGQzFQ4WC1EDTQKHgittrxvgojh11NG455bu49MgvAmB4bNOzuGPNT7G2\n5cNuj5MKGWj6XAgqH6BDU3ENdF6lAJqQssk6QXA8VlqTdgBIUQAdipyqgLGijIFPxRkHmYIHMgQp\nTjkTBw4i5/3GsVv3yQSNehEHJBcFb272k+d4nDXhNNx66g8wa9xM7M8dwK/efwj3v/cb7Ms2A7Br\noAEaphIGd38M4L0GOspHwcDswUJDpYTDMAwsWrQI27ZtA2MMt912GyKRCG666SZwHIcjjzwSS5Ys\n8dTPj5Byy/rIQCcogA6F7LQpksSgAXRx9i3YphFCBoOd9TQgMH/lTPGi1l2UgQ6muB794PrbZCSB\nK47+Ek4bdyoe3fgM1h/4CBtaN+KM8Z9FTWQqANAFTAi6XcR4zEAzxhDhojB4LfDnwYAF0C+88AI4\njsPy5cuxZs0a/PSnPwUAfO9738OMGTOwZMkSrFixArNnzx6oJRHSL7fxfcJDBppKOMIhOy23JB81\nn8UKGWgq4SBDlDtIReRKfx8qFneGCTEheN3nSCcrelEGuuf3pnHJMfjWCf+G91vW4fGNz+KFna8g\nyv0TLHECvQeFQFb1rosYH3coY3wMeV4eOjXQs2fPxtKlSwEAu3fvRnV1NdatW4cZM2YAAGbNmoXV\nq1cP1HIIKUmhBlryEEDHnQA6RwF0EHnDzUAHC6C76j+phIMMTbKzidDvfoDi4REUwAVTaj06YwzT\n66di0akB6/IiAAAgAElEQVTfx7lNs6GYeQj1OykDHYIgGWjAPh/sSYRDJIAGAJ7nceONN+KOO+7A\nhRdeCKtoDnk8Hkc6nR7I5RDSr64aaA+bCGOUgQ5DV5/PYCUcIieCgaPggQxZdtmAgajPnujFNdCU\ngQ5Gdnpyi1wEHOs/hBI5AbPGz7T/g9cpgA6B4pQ0Ad5roAEgLkpggo6sogZax4C3sbvrrrvQ0tKC\nyy67DKratfhsNouqqv7bhNXWxiEEbMFTX58K9HgS3FA5BiZn1+SPH1Nd8potywLPMSi6WfE/ZyWv\nT7PsC5BRVVWB1xnjY8gKGnhRqLifudLWMxJV+jGwOAvMMpGMxX2t1bKS9sYpXgN4rmJ/3kpdVze8\nfTEuCdGS11trdF3AmKyyf85KXptL3NpauAswrmEUaiRva65NpoBOQIMW6OcdsAD6qaeewieffIKv\nfe1riMVi4DgOU6dOxZo1a3DKKafgpZdewsyZM/t9nra2XKB11NensH8/ZboH01A6Bi2t9r83Na96\nWnNCEtHWKVf0z1npx0FxMtC6jMDrjLAocnwO+1uzFfUzV/oxGAmGwjFoS2eAJMBD8L3WKB+Dwes4\n0JqryJ93KBwHAGjvyINFdUS4uKf1ipwIU9DQ2p6v2J9zqByD5gPZQglHtkOHlvG2ZsG07xJ35Pr/\nPOgrwB6wAHrOnDm4+eabceWVV0LXdSxcuBCTJ0/G4sWLoWkapkyZgrlz5w7UcggpSVcfaG+bd1KS\niPYMTb4LQjNV8PB3i+5gMSEK8J10+5oMSXmnI008QEcaiY8hL+ToHAhIVg0grnve3JwQ41AEFfk0\n/f6DcuvQGZivjbXungBZDzbafsACaEmS8LOf/eyQv3/44YcHagmEeJaRNTAGxKJdZUOaqSOjZpDW\nMkir2cKfO9U0MmoWaTUDrYFDrmUSTNMCx1FrRq8M0540xcPf6OKDSYIExhuBa94IGQyFlo4BLibj\nooRWvhO5LAVwQeRVFYwzPfenjwsS2oQs1UCHQHE2EUa4qK/Wx4UA2pADrYNGeRPSh5ysQxq/Hfe8\n/atCoJzXSzjpkoDFJiAra0jFgweAI42imoVNIkEnEQJAwplGmFWDlYARMhhkd0NtgI40CTEOxhvI\nKXRnLIh84WLGYwAtSmC8jqxCm8uDctvY+e9KY38eqNYQ20RIyFCSyauwmj7C1g4LyUgCtdEaTEwl\nkYokkRKTSEaSSEUSSInO30VSeHzTs3hv/1pAUJHJUwDtR7dhBSGUcCQjdh/crBos40DIYNAM+4Pe\nT8suV9y9iNSC3bYe6dz+9F67AyUE+z0oR7//wGTVAIsEaetonwsGVOiGCYH315COAmhC+pBTFYic\niWPqjsZ1J1xb0mNqotUAACaq1MrOJ1nVwdxRrWFkoCP2G2Y+YM0bIYNBMe0AOsjdGLcfekl30Eiv\n3LsBXo+F5FzAKEYepmWBo6nLvuVVHYh5r0N3dQ3Xsts6+k1yDWgfaEKGElUzYDD7zTLhTPIqRUpM\nAACYQAG0X4pmAFz/wwpK5QYPskEBNBl6NCt4BloSw6n7HOlU0+1P73EToZOBtoTgAzxGOllVwDir\n8G/aKzeAZgFH21MATUgvsrIOCM4obw8BdDLiBNCiStMIfVKKJk2FEUC7t+wUk+o//VI1Az/+09t4\nc0PzYC9lxNELGWj/5WDxwjkgdxtiRkpnWRY051hIvPcaaMBOrNBGwmAKXWl8DtkqnsyZVwzf66AA\nmpBeZGUNTLDfLD0F0GLS/oOgIiNTAO2H3abI3UQYRhcO+w1TNSn75tfeAzls2NFOAfQAszvSOBeT\nQbpwOAG0xWlQNTOUtY00xXszvB4L9/fPaCJqYG5XGr/ng1R0LCgDTUgZZPMamJOBjnsp4YjYATTV\nQPunaAYYp4OHAJ4LNnkU6AqgNUuFSdk3X9x/yx3U33xAKarZFbQFKeFwggbwGgVwPrn9hwHv5TSF\nzxBBowx0QIpThuT1LoCrUMIhaHY9tU8UQBPSi1xRCUdS8JKBLqqBphIOX9wMtMjC6WDSFTzoUFT/\nt+xGsnTevhvTkaFe2gNJ0YrLmfyfD11BQ7Cs20gmF5WWee3C0ZWBpguYoAqbaoNuIqQMNCHlkZG7\nMtAJJyguRaEGmjYR+uZ+UIlcWAG0u2lEo+DBp2ze/r21ZxWqoR1AsqoXeqIHa2PnJAHoHPBNUQ3f\nx8KtgaYMdHCqGWxTrcAJ4CE4nwdUA01I6HKy7qsGOi5I4BhHJRwBKE6j/EgI9c9AUQaasm++uf+W\nVc207xCQAWHX3Tr7AQLVQHdloCkD6o87wAPw3oUj7tzFZAJloIPQdBMWZ78XBZkREOVjgT8PKIAm\npBdZWfPVhYNjHBJiHFxEowDap7yTdQujAwcAxMXiDDQFf34UlyO1Ux30gFFUez8AEF4NNF1E+pMv\nLuHwmYFmvIYcbS73zb4j4x4DfzXQ9mOjtImQkHLJynpRCUfpATQApMQkIKjIUgDtS15TwFg4Q1SA\nosCDdsD7VtxRhuqgB063DHQIbewoA+pf9wy0vxpo0O8/ELvFqVNGEyADLQmSvaGWNhESEj67C4cK\njnGeMz9JMQHwGjKySvWiPuSdkdt+J00djGMcRETABN3+ECSeZXJdQXN7ljLQA8XdD8BDAMf8f2SL\nvAgefOCs20gWZBMhxzjE+Jh9AUM10L4F6YRSTBJiYJyFnOL/vYwCaEJ64XbhSAhxMI9jV92NhCav\n0IeVDzlnXK7fSVM9iXAxauEVQCbf9XujDPTAcTeuhdGRxq77pBIOv2TFDt4YGCKc6PnxdtZTpwA6\ngOKLmCB7ApIR+45AVvU/nZYCaEJ6kXW6cCQipXfgcLnDVJigIk1lHJ4p7qSpSDgZaMAOHij75l8m\n3xU0UwA9cGTN7UjjPWA7mCRI9iAPCuB8kVUdjDcgchHPSRUASIpxKqEJqFsZTYAa6ETELsvM6RRA\nExK6jKyB8XYG2qtU8ThvCqA9kwOOau2JJEQp+xNAJq8jERMAUAnHQFI1OwMd4cIYae/ehaH3JD/c\n8oGoz2MRFyUw3kBWpgtQv7qX0QSfzJnX/U+npQCakF5k1RzA7KyBV8UZaBqm4p1iOH0+Qw2gJTAG\nZNRcaM85Umi6AUUzMK7e/ndNGeiBk1fCa+mYFONO3ScdPz/coTZ+u6F0BW3ZMJc1osjdenH7/3xw\nZwO4Uw39oACakB6YlgXZsG/teO3AAXTVQIMy0L6olp3hDKuNHQAknDZSFEB759Y/1yQjSMQEamM3\ngPKaanekCWFDrXvbOqPROeBH3mmhJvm8sHeH2eQN/2UDI51bwsHAQeQE38/jHkPVpE2EhIRKVnSg\nMETFew10qmicN7Wy8053J02F1IUDAJJRp+ZN859xGKnSTgeOpCSiJhlFO2WgB4z77zWMc8HtRZzT\nKIDzI6+oYJzle3Ozm4FWTAWmSd2Z/HBLOCI+69Bdbl901fI/WZUCaEJ6kHU6cABFI1g9SEWcEg6R\nNhH6oVl2gBZmBtrddZ2n4MEz+yLQQktkLaTqHPKKbtfmkrJz9wP4zXoWcwM4OcBt65HMrZeN+7yY\nSRSPU6d2mr7YfdH1wHsCCucTp0HVTF/PQQE0IT3IyToY72+IClBcA61RBtoj07RgwJ28Fs4ob6Dr\nOFLw4F06r4FJGWw030Cu+mMAQHuWstADobChVgxpEyGC1X2OZHnnWMQCZqCpF7R/smJnoIMO2SpM\n5gww2p4CaEJ6kOk2xtt7CUdclMDAAMpAe+ZmGIBwSzikotunxBt3qBAAWIJdP9tBddADopCBDqEn\nuhvAqZBpwJMP7oWH5HPzmiQWTSOkANqXvKoBvBH4s8G9mGS8/+FaFEAT0oOcrBcCBj9t7DjGISHG\nwQSFMtAe2Tvd3V3WYQbQ7qYRyr55lc5rYKJ9PmjMDaApAz0QFGc/QBhTOQsBHK/b3QyIJ4oz4Mnv\nAA/3s8TuxU2fC37kVRWMWYE7NBVKOAIM16IAmpAe2Bk3/yUcgF0HzYkadeHwyJ685pZwhB9Aa6DM\nqVeZvAY4AbRsZQFY1IljgGhmePsBCiUEPE0j9EN1Nzf7bWMnFpVw0O/fl5xTh54IeEemkIEWdHvC\npA8UQBPSg2zAEg4ASIoJQNDQmadAw4uwGuUfzA0eTKZD0yn75kWmqITDgL3BtoNqoAeE22YryNhi\nV1fQQAGcV6ZlQUew/vRxgUo4gpKdAFoKuCfAviBl9oZOykATEp5scQmHjy4cAJB0OnHktBzVG3pg\n9/m0A9wIF94mQqloA0/eZ8ZhpMoUlXAAABNlykAPEN2yL+TD2FAbd8vRaKS9Z8V3xvxnoJ0SDrqA\n8U12ymiClnAwxhBhEbAA5wIF0IT0ICfbJRwRLgLBZ7N2txe0wSlUb+iBohlgnA4OAniOD+15izeN\nUPDgTTavgSsOoCMy1UAPAMuyCgF0GPsB3I2IdA54Z98Zc/Zm+LwbEOOj9uZynjLQfrl16GGcD1Eu\nFuhikgJoQnqQzdu3qeM+NhC6ku4wFZGGqXghqwbAGxCZGOrzhrFpZKRK5zTw0a7fWSSu0jCVAaAb\nFqwQ9wMUukdQCYFn7gQ8wP8IacYYYnyMMtABqEawMppi7rHI+0xwUQBNSA+yTga6MJLbh8IwFUG1\n2+KRkihODbTIwivfAACe48FDcDaN0IeXF/b50BUwRxMaOrJUwlFudkea8Hqi8xwPkUVoE6EPYe3N\niAtxMMpA++ZuAg/jgjImxMB4AznFXzKAAmhCepBRFDDeQNJnBw6gqwYaoopMjgLoUskhTZrqicii\nAK8jRzXQJdMN064ZFxSInH1XQIypSOc06Ia/CV6kNHbdbbCygYNFuWig4REjlX1nLFgGGnA6cQga\ncgp9JnilGyZMZ8iWFEZXGmd/U0bxN53WX3GnD5qm4ZZbbsGePXugqiq+8Y1vYPTo0fj617+OpqYm\nAMC8efNw3nnnDdSSCOlVVssC8N/CDigq4RBUamXngazoAGcgEuIUQleEiyLPpyn75oFdfmTC5FRM\nTE7Ets4dYBF7J3xnVkVdVfBbqaRncrcMdDgBdIyXkOZbaSOtR7Kqh5KBTkbiYJyFjEL96L0qvgsQ\nRlcat0FAVs35evyABdDPPPMM6urqcPfdd6OjowMXXXQRrrvuOlxzzTW4+uqrB2oZhJQkp+fBIaQA\nmqYRepLXFDAW7hAVV4yLoYNvo+yPB+m8Boj276s2Wo0WMQHDsjM27RkKoMupOAMdVgAtifbGqSyd\nA550z0D7PxbuZ0pO8xe0jWSy0tWhKchdAFcyagfQOd1fOdqABdBz587FF77wBQCAaZoQBAHr1q3D\n1q1bsWLFCkyaNAm33HILEgn/NaeEhEE3TGiWjCiCBdDFNdC0ibB0WU0G+HB7QLtiQgxMo+yPF8Vj\nvJORJGqi1dirNQOwaJx3mXWNtWcQfXYDOlhCjIMxIOvztvVI5e7N4MD57swEdPWCdgeCkNIV35EJ\n4/PB/XzPGwNQwtHa2opHHnkEK1euxLZt28BxHCZNmoTPf/7zmDdvHurq6np9bDxuLzSTyeDb3/42\nvvvd70JRFFx++eU49thj8cADD+C+++7DjTfe6OsHISQsOVkPPETFfqwTfFMJhyc5J4CWAk6a6klc\nlIA8kPF5y24kSue6AuiUmEBNtBq7MnsAXkc7DVMpK8VpnSZABGMslOdMRpzb1pQB9UR27gaIXDTQ\nsXB7Qcs+g7aRLKw6dFfc6eQh+7yYKTmAfuSRR/D8889jzpw5uPPOOzF27FgIgoBdu3bhjTfewPXX\nX4+5c+fiq1/9aq/PsXfvXlx//fWYP38+zj//fKTTaaRSKQDA7Nmzcfvtt/e7jtraOAQhWG/Y+vpU\noMeT4Cr5GChWujDGe3RdXaC1JsUEOkUVmlmZP3Mlrslk9htkXSoV+vrqklVAJ6AzrWJ+9kpZR2/Y\npgOFISqj60ZB4xWsPWD3gq7Uf9deVerPENnZAXA6InwktDXWV9cAzYBiKRX3c1faeopxAg/wOmJC\nLNA6G1prAACapaCuLgGer6xeDpV8DHa25gsZ6PGNo1AVC7bW+nQtAECzVF8/d8kBdGNjI37/+98f\n8vdHHnkkjjzySFx55ZX4+9//3uvjW1pacM0112DJkiU49dRTAQDXXnstFi1ahGnTpuG1117D1KlT\n+11HW1uwq+b6+hT2708Heg4STKUfg117OgoZN1PmAq01ISaQFttwoDVXcT9zpR6HznwWiAKcEex3\n3xPRsrtItGXSFfGzV+oxKLa3OQ24Q1QUATHLmaYWkbGnuTJ+j0FU8jHYfyDjZKBjoa2RaXYCKqNk\nK+rnruTjAACt7TkwXkeERQKt05TtgJkJGnbsbkdSCrfffRCVfgw+aU4XMtCZdg0KH2yt7k0AxZR7\n/bn7CqxLDqBnz55tv6BhgOftE/DAgQMYNWpU4XvcGueePPDAA0in07j//vtx//33AwBuvvlmLFu2\nDIIgoKGhAUuXLi11OYSUTVbWiko4/NdAA0BVJIlPhGakc1QrWirFaZQfL0MJRyrqbODR6fZpqTJF\nNdCpSBKaaZ8b9jRC+nddTopm2hnoEFs6Sk7nAdmgGlwv8qoGRPTAAzy6jfOWtYoKoCud2xc9aB26\nyz2WBlSYpgWO81aaU/IK2traCuUXbqu5JUuWoK2tDffffz9qamr6fPyiRYuwaNGiQ/5++fLlnhZM\nSLllZb1QwpEQgm1qdTtxZJy2eKR/qhnepKmDufWfFDyUrjiATooJmJbd+1mIKVQDXWayooLxZqgt\nHd1NbKpJFz9e5FUFLApIATevub9/mojqXaEOnUVC2RPgHgt7GqGORMzbxUzJxTe33347Zs2ahblz\n5xb+7he/+AVmzpyJH/3oR55elJBKZncdcDPQUqDncoepZHXasFMq94O9HF043Mb5qkHBQ6kyea1Q\nA52KJFEbrQYARCSNMtBlltWccyHElo6SEzToUGCaVmjPO9zlnGMR9M5YopCB1mkaoUfuOPWw7sgU\nkjS87ms2QMkB9Mcff4yvf/3r4Liuh3Ach+uuuw7r1q3z/MKEVCq7C4cKBhY4C+pmoHXIUDUaXFAK\n3bIvXsLqe1ss5mbfLAr8SuUG0AwMCTGOmph9t5GPKejMahSElVFOs++UhHkxGS8KGmSVArhS5Z1O\nDfGASZXC4wWVAmiP3EEqYd2RKWSged3XYKHA2z8ZY92CakKGuoxsZ6BjvASOBfu3XegFLVIru1Jp\nllPCUYYA2g0eNAqgS5bJa+AiGhJiHBzjEOUj9gePmIdpWTQkqIxkJ4CWxBAD6G41uBTAlcot+wp6\nMVMctFEJhzd5JwMdVnmfNFAZ6HHjxmHVqlWH/P2LL77YbSMhIUNdzqmBTgjBNhACXRlo6gVdGtOy\nYMLJQAvhj/J2b18bTKXMaYncQSrJop7oNdFq6Jy9EZPKOMpHdjbUSiHuBygOGiiAK527uTlo8CZy\nInjwdAHjQ06VwVjwOnQXz/HgIdg10D7OhZI3Ef7gBz/AVVddhdNOOw3Tp0+HaZpYu3YtXnzxRTz4\n4IOeX5iQSpXJq4CkIREJHkCnIl3jvCmA7p+qGUWjWsPPQEuFDTz27eu4x00jI41hmsjKKiReLdxN\nAYCaWDX2ZPcBnI72jIqJjYO4yGFMdmr145EwSziKNk5RAF0yd2+GFPB9iTGGKB+DJmjI0Th1T/Ka\nAkjhXlCKLAqN1+3stkclZ6AnT56MRx99FI2NjVi1ahVefvlljBs3Dk899RSOPfZYzy9MSKXKqHkw\nZhWC3yCSYtc4bwqg+6eoBsDZb2TlqIF233j91ryNNNmiqZzFGWh3IyGLyGinDHTZKHo4G9eK2ecV\nA3iNzgEPNKc7UDSE7KckSGA8ZaC9yhXq0EM8H7gomM9zoeQMdHNzMxobG/Gd73ynz+9paGjwvAjS\ns492N+Pnq/8LY6OTMH/GmTh8TPVgL2lEcMc8B+0BDQBJykB7Ijt9PoHydOEQOQHM4ij7VqJMrqsD\nR7I4A10UQFMJR/l0tXQM71xgjCHCopB91n2ORKZpQYeKCMIZIZ0Q42gRWpDN0WeCF+W4oIzxMYBv\nQ172fixKDqB/+tOforGxERdffDEOP/zwbl/bvHkzHn30Uezfvx8/+clPPC+C9OzFbW+BjdqFvdiF\nH7/9LsYZJ2DeyWdgyti+e26TYPJ6eAF0oY6aMtAlUdSuEo5yZKAZYxBYFAbVf5ak2xCVbjXQ9nsQ\ni8jUC7qMClnPkM+FKBeDIuTpHCiR2/0BCKc/fUKMgzEgo9BAJy+UwkbOEANoIQbGWcgo3mcDlBxA\n33nnnXjhhRewePFibNu2DQ0NDeB5Hvv27cPEiRNx7bXX4uyzz/a8ANK75vwBgAPq+QnYH9uFvexV\n/OSddzH2zRPw5ZNn4chxtYO9xGHHsizIZh4C7DHcQfEcD4mXkBVVZCjb0C/3g4qDELgDSm8iLAKV\nl6mFVwmKe0AXZ6Bru2WgKYAuF61MLR1jfAydfJoC6BLZ/YfD25vhTkTNahRAe9G1kTPMrjT2noCs\n6v1YeJqFeNZZZ+Gss85Ce3s7duzYAY7jMH78+H6nEBJ/OrV2IAp849NXguNN/Hndc1hvvY997FX8\n9N13MfrN6Zh30hk4agIF0mFRdRMmZ5+kYWSg7edJICd0IOPjFtFIo2j2pCkB5dvcF+FigEDBQyky\neQ0Qu6YQumpidgDNRRUq4Sgj3VLBEP6GWkmIgfEGsjIdu1IoIZeWuXcm8xoN2PJCLUOLU3dYWqbc\nAbSrpqaGguYBkEcHYPBoSNaAMYbrZsxHS/5c/Hnd37DOeh/N0mrc8/57aHhrGuaddAY+NbFusJc8\n5GXzGiCEG0BXRZLYL7Qg3U4fVv1RnAy0yIU/xtsV42NghokMBQ/96lbC0UMNtCipaD9AGehysCwL\nBjQICL+lo/ve5u73IH2TVQNwA+gQaqAlJ2jLG97LBkYy3VTBI9wSjqRzNyCvD1AATcpP0w0YQhYR\nI9Vt5vthUh3+/eT5aMnPxZ/XPYd11vtokV7Dzz94Hw1vTcPln56FYyfVhTInfiRye0ADQDKsADqa\nAmNAWsmG8nzDmftBJbLwe0C73A/AjELBQ3+KA+jiDLQkxBDjo9AjMjqyCizLoveckGm6CXDl2Q+Q\niPjPuo1EsqKDceFnoGWTfv+l0g0TJqfZAXSI50Mq4gbQ3i9maIRghdrZ2gLGG4hzPXfeOEwahX8/\neT5u++wPcFzVdHCxHFpqXsN96+7DY2veHeDVDh9ZZwohEE4NNNDViSOjUQDdH1nVAc4oywZCl1vz\nlqYAul/FXTiKM9AAUBOrgSnkoRuW3e6OhErWirOe4Z4PSSdoyFEJQUm6Z6CDHwv3PciACt0wAz/f\nSCAXtTgNMwPtHgvZx90AXwH0008/jXvuuQe5XA5PPvmkn6cg/djcsg8AUBvpu765eyA9DZyUxer9\nLw7EEoel4r637sCBoNzuBTmDPqz6k3UmTUX48mWgk5R9K1nGKWliYIeUNNVGq+39ApxBddBlYJcz\nuRnocM+HIFm3kcjd3MxDAM/xgZ+veJgN7cUojazqXXXoIV5QurMBFNP7e5jnAPruu+/Giy++iOef\nfx6GYeCxxx7DsmXLPL8w6dvOjk8AAKMTh5X0/XYgfSV4PQE50mxP0yOe2RlotwY6pAy0M0xFQ56y\nDf3Iqk6bojJmoN3b13mNgof+uF04EmL8kK4ohV7QIrWyK4dyDhUKknUbidwuHCIXzoVM3L0Y5TXk\n6e5NSYpbnIbZhcMNoDVrAALoV155BXfffTei0ShSqRQeeughvPTSS55fmPStOXcAADC+xtuM3EZx\nApig47UtH5djWcNeNm/XQPNMQIQPpxNEYaIh9YLulxvUSmUYouKqCrBpZKTJ5DVwotqt/tlFw1TK\nyx4qZICBDyXrWcwdaa9aFECXws1AR8IKoCkD7Vm3XtwhbOR0uefCgATQPN/9RFZV9ZC/I8G1q60A\ngCPqx3p63HH1RwEA3t27IfQ1jQQ5RQMEDRIfTvkGUDTOm6YR9su9pSyFOGnqYFVROxik7Fv/0nkF\nELRD6p8B6gVdbopTA12Olo5uBlr1ETSMRHmnBjqsOwHu758JNM67VMV16GGMU3e5GWiL06Dp3sZ5\new6g586di+9+97vo6OjA7373O8yfPx/nn3++16ch/chZnYDJYWyVt9Z0px1+HABgt7y9HMsa9uwM\ntIq4EE4HDqBonLeg2W3ySK9kd1RrpHwBdNwp4VAo+9Yn07KQc6Zy9piBjnUF0O0UQIfOLuEwILLw\nA2g360ab2EojqxoYb4SW+Szsr+EpA10qtwaaAweRC6+BnHsxA15HXvEWQHtexTXXXIPVq1dj7Nix\n2Lt3L771rW/hrLPO8vo0pA+mZUEX0hCMhOdbd4claiHqVVCjLWjL5FCbDC8QHAnSsgyWMnoMGPxy\nM9AQVKRpGmGfZMMOoBNlzEAXbl/72DQykuRkvdATPdlDBrq4hKOdSjhC524iFLnw3otccSfrxgQN\nsmogKVFDrr5kVRmIhVdaJnACBCbCFHTkaMBWSWTnglIIucWpe1HEBB15RUdVovTn9xxAX3bZZXji\niScwa9Ysrw8lJdrT1gYm6IjrPbew68+YyETsMNdi9eaPcP70E0Ne3fCWVnJAqmvUahjcftJMVGga\nYT9UZ1RrOTPQ7i07HZQ17Uu3ISo9XFDWUg10WeVVHeDCq7stJrl32HgdOUVHUirf5M/hIKc5AXSI\nF/ZRLgaVaqBL5pZwRLhw98dE+QhgMXtDp+rtWHi+7Bw1ahTefPNNqCp9+JTLpv17AQA1or8R3dMa\njwYAvN/8UWhrGincvqiFjX8h4DkeUS4GJmjIUAa6T6ppv69IIfb5PJh7+1SHCsuyyvY6Q53bgQPo\nOQMtCRIinAg+plAXjjLIqxoYZ5UlgC7OQFMXiP4VSstCDKAlXgLjqQa6VG4JR9jnA2MMIouA8brn\nc22S2CIAACAASURBVMFzBnrt2rVYsGDBIQv48MMPvT4V6YXbwq4hXloLu4N99vBj8cyex7BX3RHm\nskaErFPzGVYLO1dCSEAW07SJsB+qZQdi5RykUgjOOQ2abiIi0ibonmRyGiAeOoXQxRhDTawa+7U0\nbSIsg5xmd4kpx7kg8iI48DCdDDTpm9uxx22BGYa4KIEJOrIynTulyCs6wOtlaXEqsihUQbE3i3rg\nOYB+/fXXvT6EePRJtgUAML6qwdfjq2MpRI1aKNED+KQ9jcaaVJjLG9Zkw3mjDGmMtyspJnBAOIBM\nnm5190V3MtDl7AMd5aP2LTun5o0C6J51K+HoIQMNADXRGjTnWqDoKvKKDika3uaekS6v2e8VYfa8\nLSayKHRBswMT0ifF2ZsRZvs0t7SPJqKWJq8pYHy4UwhdUS6KLJ/1fC54fre77777evz766+/3utT\nkV60Kq1ABJh82BjfzzFemoQtWhtWb1mPL336MyGubvgyLQuqKUNE+AF0VTQJlgXaZRrn3RcdKhjK\nFzQAduaUhwiT15BXDfjbaTD8FQfQvW2q7aqDVtCRVSmADlFOkwGxfC0do1wUso+gYSRyNxyH+b6U\ndNppZlQKoEuRU2VAKs+MgCgfA+MNz3cDPNdAF9cMapqGlStX4sCBA16fhvQha3bAshia6vxloAHg\nxNGfAgCsbdkY1rKGPVnp6joQdgBdHbPvAmTUTKjPO5xYlgUD7uS18o3yBuzsm922iIKH3hTXQPeW\ngaaNhOXj1t2Wa6hQlIsBvIYsbWzul7s3I8zsZ9IpB3FbRZK+5ZwymnJcULplfV7vBnhOF3zzm9/s\n9t/XXXcdrr76aq9PQ3phWRY0Pg1ej0Pg/WdzTp10LB7bwdCs7QxxdcNbRtYBwf4wCTuAdgOQDL1Z\n9krVzbKNLj6YyKJgQo7qP/uQyav9XlBSL+jycVs6lqsjjSRIYJqFjEz90PujWyo4hFta5u6zoYmo\npck7F5Rh1qG73F7QGdXbsQjc/DGTyWDv3r1Bn4Y4WjIZMFGFhKpAzxOPxCAZh8GItWHXgbaQVje8\n5WQNzA2gQxykAnTdApcNKuHojVI8qrWMJRyAffua8QZytIGnV5m8DiaqSAhxcKznj4pCL2iRMtBh\nU92e6GUKoN2gIU0lBH0yTBMGC/99ye0GJJt0AVMKtw49zE4oroRzLmQ1bwG05xTn2Wef3e2/Ozo6\ncO2113p9GtKLjc17AABVPlvYFZsQb8LH6n68snUdvjzqtMDPN9zZUwjdDHS4XTjcPrqqJcMwTfAc\nDS44mKwZAG/vgi53BjrGxwAD6JApeOhNJqeCJVWkIr2/F9VEawA4GWhqZRcqxXBbOpbnXEi6QQMF\n0H1SikZIh7mJ0A3aNBroVJKu86EMAXTETpjlyh1AP/zww4U6aMYYqqqqkEpRl4ew7GjbBwCol0YF\nfq6Tx34KH297ExsObAJAAXR/srJWuGVdGO8ZkkIfXUFFVtZRFS9vje9Q5GagOUvoNeMZFkmQAJV2\nwPclLatggtZr/TNw0CZCykCHSitD3W0xdxOb16zbSCOX6c5Y3LnLaXAqNN2EKFBSpS+Kk6kvR4em\nKmdwWl73djfA8xG78847MX78eIwfPx7jxo1DKpXCVVdd1e/jNE3DDTfcgPnz5+Oyyy7DypUrsX37\ndsybNw/z58/HrbfeSkMNAOzNBGthV+zkiUcDJocWYxf9bkuQle0MdIRFQw/g3CCEiSqy1Au6R4pq\nAJwOnpV/KpqbxchSAN2rjGKXG/U11j4hxiEwgWqgy0Ar9EQvz8V2V9BAAXRf8s77EhBu8FZI0vA0\njbAUmml/bpajvC8ZdcppDG8BdMkZ6Ouuuw4ffvghmpubu5VxGIaBMWP6b7f2zDPPoK6uDnfffTc6\nOjpw0UUX4ZhjjsH3vvc9zJgxA0uWLMGKFSswe/ZsTz/AcNOqtAIi0FQ3OvBzRYUIEmYDsrF92Lq/\nBZMb6kNY4fDl1kDH+HDrn4GiIERQkc5pGBP8BsOwY0+aMuwOGWXmbkTJUPatR5ZlIWfkEEHPUwhd\n7jCVFjWDjmYKoMOkW27AUKYMtHPb2mvQMNK4E/CAcI+Fm4FmgoacrKE6QXcl+6JDBY/ynA9xZ5O0\n6rEeveQA+s4770RHRwduv/12LF68uJDRFAQBhx3W/8S8uXPn4gtf+AIAwDRNCIKA9evXY8aMGQCA\nWbNm4dVXXx3xAXTGaIclAFMOCx5AA0BT8nCsk/fh1a3rMLnhzFCec7jK5O0SjrgQfnTrBtCUge6d\n7NQaiqz8JWEpnzVvI0Ve0WHxdklGqp/9ALXRarQIB9CWod9lmHRo4FC+DLTkZEAVqsHtk1xUAx3m\nsXAz0EygDHR/DNOEyTTwKM/+GMmpbfdaj17yfepUKoXx48fjgQceQEdHB/bt24e9e/di27ZtePLJ\nJ/t9fDweRyKRQCaTwbe//W185zvfgWma3b6eTqc9LX44Urk0OF1CTAznH8kpE44FAHzctimU5xvO\n0nIejLMKE6LCxHM8IiwKJqhIUwDdI1nVAc5AhCt/BjoVc25fU/atR8U9oPvKQANOJw4GyGYWquZt\nFC7pmWlZMMvcE93tAqFadA70RVYMMN4ADzHU0r7CZjheQ16mALovxXXo5dhE6PaW1uDtLprnTYQ/\n+MEP8O6776K9vR1TpkzBhg0b8OlPfxqXXnppv4/du3cvrr/+esyfPx8XXHAB7r777sLXstksqqqC\ntW4b6jqyeSAiI6Y2hvacJ4ydAmwQ0GrthmlZ4BgL7bmHm7SSBWJAKhpuBw6XxMehiFnKQPciq8pg\nDIiUeYgKAFTH7GOsUADdo0xeB8S+pxC6aoqHqWRV1NeE36d1pFG14qxnmdrYOQG0blEGui+KpgO8\njggL932JYxxEFoVJGeh+yYpR1hkBEu+cC1BhWRZYiXGS5wD6rbfewnPPPYfbb78dCxYsAAAsXbq0\n38e1tLTgmmuuwZIlS3DqqacCAI455hisWbMGp5xyCl566SXMnDmz3+eprY1DEHivy+6mvr4yu4Z8\n3Ga3sKuN1YW6xhpuDNqjO7Ev14HpTRNCe94gKvEYyE4mprEm3N+/q1qqQrvWDgOV8/NXyjoAwBLs\nO1LJWLzs6xpvHgastzMOg/07GOzX78n2llxhjPeEhoY+1zihvRHYYQfQTBAq8ufpT6Wtua1TBnNa\nOo5vrEOsDL1vDckuvTQ5DTW1cYgBP1fDUGnHAQCESAsYryMqpEJfn8RLUIU8OLFyzptKWUexvGEV\nnQ+jkIr2fVfMq5hiB8yM15GskhCPlbaR3XMA3dDQgEgkgsmTJ+Ojjz7CBRdcgGy2/+EQDzzwANLp\nNO6//37cf//9AICFCxfijjvugKZpmDJlCubOndvv87S1Bds1X1+fwv79lVkq8v62rQCAGqE21DU2\nJQ/Hu9md+Nt7b2Jsoia05/WrUo9Bp2yP2RYMsSzrkzgJjFnY09paET9/pR2Hlo5OAIBgCWVfl5K1\ng3VFlwf1d1Bpx8C1e19HIYDWs6zPNQqaHdyxiIxtu9pwWLL8XVTCVInH4JO2nJ1xs4CONgVpFv5d\nq7xTbsN4HTt2taNqkDexVeJxAICW1qyzNyP8z4UIFwX4NJpbMhXxs1fqMdjzSWfhjkymXYPMhbtG\nw3RKz3gNu/Z0oDbVleXu64LCVwD961//GjNnziyUYORy/Qe1ixYtwqJFiw75+4cfftjrEoatfU4L\nu7FV4XbLOHXisXj3w5ewuWMzgHNCfe7hJG/Y/47DHuPtqo4lgQ6gU8mU5fmHurymAFz5ug4Uc29f\na6Db1z3J5LpqoPvqAw0U94K2SzhIcHZPdANcyHW3xdyNUxA05BV90APoSpVTFDDODHWIiisuxMF4\nA5k8vQ/1xa2B5sBD4DyHrf3iOR6cJcAUdOQUvVsA3RfPZ+aPfvQjjB8/HtOmTcOcOXPwl7/8Bbfe\neqvXpyE9aMkfABBOC7tix41uAgwRHWwvDMPs9/tHKrdRe7kC6NqYXeOf1iiA7onbxD4e0gbavkhO\nAG143DQyUmSKhgr1dz7UxLoC6HYaphIKxamBFsrYE53nePCWCEZ9iPuUVZ0BHmXoP+x24uhU+7+L\nP5LJinM+oHzng8AiAK8j7+Fc8BxAf+tb38L5558PAFiwYAF+9atfFWqaSTBpox3/f3vvGSVHda1/\nP6eqOnfPTE9QFiMJSSghCckE8QfxEg2GZSyMeEl6DX8c8b2+9wJrgcHXlsFGYAPLAZZzAmwwtgk2\nF4yBa1mXYDAGxCVbCGGhONKkTpXr/VB1elqDpOme6arTPbV/X2whTfeZ3l1Vz9ln72cDwOzOKXV9\nXYlJyGIKEC3hlff/WdfXHi+Ylg2LuQ//pE8CmmfyiiYN79gfqul+/tyj2U/4QARbMmDbNGRoODwD\nnZCTI2ZA05EUJCa5GWgaplIXNN0CkyxfBTQA13OdmtgOStFwBXTChzr0TNRt0M2TgD4omuF6cUd8\ndGiKshiYbED1U0Crqort27fX+mNEFWhsEDBjyMTrLyDmtB0KAHhu6+t1f+3xQNGbQgj4l4Hmbgaq\nRQJ6f2gW38D4n4HmR3ZMNlHSSTwMJ18ywBR9RAcOwN2gt0VbgYiG/gJloOvBkCe6v2UVUSnmXgNk\no3ZASgY/Gav/c5lPgyzo5KF+MFTd8ixO/bse3Hp0EwW1+n6DmotJent7cdJJJ6GjowOxmPugY4zh\nySefrPWliApKmg47UkLc8GdE3bEzFuH5//1vvJt715fXb3YKqgFwAa34Y2OX9rINGkpkKbgfdIv7\nDgdjgyY7UZieB2uqyq7rsJAraWCtBlqr7HbPxluxV+1Hf55sAesBn8rpp2AAgLgcx4C8F8UaREPY\n4KVlqWj9M9B8GmTJIgF9MEqaayXoh4UdJy7HwSwHBb36JEDNAvrHP/4xAFc082mExNjZ1LMTjDlI\ny/64ZMzunApmxpGTdsAwrYawLGokCqpZdh3wKwOdibhihCk6ShqJtuHojvv5+2HZtT8iLAZdydPx\n9X7Iae6R8kgNhJy2WCsYczCgDvq5rNDA62799kSPywkwBgxqVEJwIDSbPxfqf19K0Tj1qijoJTA2\nVHrnB7xJdLBU/bVQcwnHtGnT8OKLL+K+++5De3s7XnjhBUybNq3WlyGG8W7vTgBAR7zdl9dnjKFD\nmgoW0fH39ygLPZxCyQBTDEiQfJv8xTPQUHTki5TxGY7hPaj8vElWEmExdwoYCegPkDPdh8hIUwg5\nvJGwYOVh2dSoPFZ43a3f1wIvS8hpVFZ2IHhpmR8T8JKKK6B5Azuxfwr8evDRoYlfC3mj+muhZgH9\nzW9+E3/5y1/wpz/9CZZl4Xe/+x3WrVtX68sQw9g+uBsAMDldXwu7Sua1zwYAvLCN6qCHU1RNQDEQ\nZYmqpxDVCq8nZYqOPE0j/ACm54jhR7f7/ojJMTAGDKgkHipxHKdcp5+pogYaALIx7+QsqmKwQN/t\nsVL0MtAxn6+FFBfQOl0DB0K3XQHtR/lA2U6TxqkflKE6dP+uB34t5GuoR69ZQD/11FP45je/iVgs\nhkwmg5/97GfYsGFDrS9DDKPHs7DrztbXwq6S/zNzEQBgS54y0MPJq24GOi77V3+rSAoURMEiJKD3\nhwX3M/HrBGA45SM7EtD7oOoWbMkVDVVnoGNkZVdPSibPevoroHkNbtGgGtwDYfDSMj8y0F65oCPp\nMEyr7q8/XigZvMHcv+cz773hYr0aahbQsrxv7ayu6x/4b0TtDJp9AIA5XZN9e49DshMhGSkUlV3Q\nDBJwlRRKOiAb5YyAX8SlJGWg94PjOBUCOpgMNPeCztPx9T4USkMe0NW4cABuEyFAArpecMHgt4Bu\nibvxLZqUAT0Qpieg/YhF+XmjmO4pKLFfSpZ/jZycjHctlEwfM9Cnn346/uM//gMDAwP4+c9/josu\nuqjsC02MnhIGATOC9lSLr+8zQZkGppj467v/8PV9mo0BtQDG/Gsg5CSVJBAxkCuSX24lpmW7o4sR\nXAkHf3hR/ee+5ErVTyHkVGagyQt67JQtHX0UDMCQjZpag2gIE6Zlw5H829jzsgFGXtwHRbf8nxHQ\nEq+9obNmF45Pf/rT2LBhA6ZMmYIdO3bgC1/4Ak488cRaX4aoQDdN2JECombW9/ea3zEHO3vfwovb\n38QJcxf4/n7NwqBWAJJDxvZ+kY6ksVt30F+iaYSVuL637hFmUBlofmRXoOPrfSh4HtBA9RnolmgG\nDIwy0HVC5YLBZ0ca7gKhkQvEfuH+w4A/JRzuvY4BsoECZaAPiGbxUwD/rgdezqTZ1d+/as5AA4Cm\nadB1HY7jIBoNpl5xPLNl724wyUFaavX9vY6bdTgAYGtxi+/v1UwUDNd1oDVeXcZttLTEXEHSr5KA\nrkTVLTDZhOQoI06+qxdpL/tWpOzbPuRHkYGWmIRMJONmoAuUgR4r3BPd7ww0P4XRHdr07A9Vd/2H\ngaGeiXrCGEMUMTcDTQL6gPjZyMnh4tyo4Vqo+Ul100034Sc/+QlmzJiBKVOm4Nvf/ja+//3v1/oy\nRAWb97gWdtmYPxZ2lUxqyUIxWqBGepBXKevAKXgiym8B3RZ3S3QG9Zyv79NsaLoFSCZkBOeNnSkf\nX9N1UEmuoga6lpKmtlgbWESjDHQd0G0uoP3tyeBNWbWIhjCheRt7wL/SsqgUB5MNFDXqizkQpo+N\nnJyEUvu1ULOA/vOf/4y77roLa9aswSWXXIK77roLDz74YK0vQ1TwvmdhNyndGcj7TYxMB5MtPLP5\nrUDerxngtl2pKo+sR0s2kQEwlPEmXFTDApMtyCw4Ad0a56PVSUBXUvAy0HEpUdNpQEeiFUxy0Fuk\nYSpjhQsGvx1peNbNZDoNRtsPfKQ6wBCV/Lk3xeUEoBgoUmP5ATG9BnM/fdHL1wKqP0GrWUB3dHQg\nlxvKnhmGgWzW/9rd8czu4h4AQHebfxZ2lSyaMBcAsHHnm4G8XzOgekb2KR9tcgCgxRuNXLSoca0S\nzXtQRVhwJWEtCVdA6zXUvIWBnFcDXetmMht3vaAHjQE/lhUqDMd/wQBUuEDIBgyTBuAMh5eWKYj4\nNh8gocTBJAc5jTby+8OybdjMux58bDDnGWhHMtym9iqouYmwpaUFH/3oR3HyySdDlmVs2LABHR0d\n+OIXvwgANFRlFAzofUAMOLTTPwu7So6fdTj+uOsBbNP+Gcj7NTqO48BwVMjwPwPNx3lrFtXdVlLS\nTECyEJWCE9B8s0T1n/uSL2lgGQMtVdY/c7gTR8HKw3YcSD4JjjAQlKVjTI4BjtvEVtRMRCNkSVsJ\nr4H2c2Of8qYRDqp0Krk/tPIpgL8byqgU8a4FE6puIZ0YOb9cs4A+7bTTcNppp5V3Y4sWLQJjDI7j\n+LZDG+8UMQhYMia1BJPJzybTiBpZ6NE96C8U0JbyVzQ2Orphw5Frr/kcDXyct44SXTMVFPQSGEOg\nArp8ZEcCeh8G1DyQAVpjmZp+jgtoJ1JCvmigJUUN5qPFggEJ/pdwMMYgIwpbNlHSTLSlg3HAaRbc\nDLSFiOTfM5K7P9QyQjpMqLoFVrY49a8Gevi1kE6MXLJTs4A+55xzkM/nMTAwdEzHGMOUKVNqfSkC\n7vGEpeQRsdKBiqkp8UPwnt2Hpza/jrMOPzKw921ECuqQbZffApq7GjiKBlW3kIjVfAmOSwp8dHFA\nFnYAkPC66i1GrhGV5HU3E5aJ1ZaBLg9TibhWdiSgR4dl23CYKxj8HuUNABEWg6lo5EO8H9yTMRMx\nHzf2Gc+ZqUDj1PdLpcWp3yVNCqIwFd2Ne1X/vkZuvvlm3HfffWhtHbJcY4zhySefrPWlCADv9+0F\nky0kbf8t7CpZMvEwvLdjI/5399s4C2EX0CaguEem/DjNL3iJCFMM5EsGCWiPgsEFdHCiKyJHAEeG\nzQw6Daggb3oCusZypn2GqZCV3ajRdLt8ZB3EhjLKYijJhapFQ5go6hqY5Pgah9byNEgq69sfZYtT\nyJAlf0uMoiwGVS76J6CfeOIJbNiwAamQH/vXi009OwAA2aj/FnaV/J9ZC/HQdoad2tZA37cRKaoG\nmGxARtT3CzQiKZCdCOyIO867q83fpsVmoeQJaD+N8veH7ERgywZ0w0YsSvWfAKDZRUgA0jXWQLdG\nW2iYSh3QDFcwMEdCRPJ/gx2T4mCyhVyJYjYcfjLmZ+lA2stAl6gvZr/wOnQlAIvTqBQDg4VClZaC\nNbtwzJs3D5pGF1q9eH9gFwBgQioYCztOOpZA3OiAEevF7sFw207lS24GOsaCEW8xKQGmuAKacCka\n7j0lEQm2BlNxomCKiZJO2TfAFW8mc2NR7RRCjizJSMgpGuc9RlTdbaiVas9vjQq+aaUmtg/Cp5T6\nubFPee4PNA1y/5SdUJj/zwY+LKfaa6HmK/Tss8/Ghz/8YcyZMwey7GZsGGO48847a30pAsCugmth\nN711QuDvPS0xA+9Ye/DU5tdwztIVgb9/o1D0aqDjcksg75eQUygoOeSKJDI4qqkCESDp8+ji4Sgs\nBsg5aqDyKIxiCmElrdEWFIwd6MuTGBgtmuHWfCoIppwpoSQADchpVIM7nJKhAjKQ9HFjn/T6bnSH\nrpn9wV04gmgwjytxwAByfgnoG2+8Eddddx0mTx6yXKPawdHTp/cB0eAs7CpZNmUe3tn6Al7reRvn\nILwCerCkgsk2Ej7XP3OSShLMdNBXpHHeHNXSgAiQ8nny2nDcIzsHgyUVk0FlabniUENtrRloAGiP\nt2FHaTt6czRpc7RonuuAEtCJGLdzzFET2wcome5pjJ/3Je7FbUKnXoz9UNIMMNlCTPI/wcFjkdOr\nK6epWUBnMhl87GMfq/XHiANQdAbg2BKmZ4Mt4QCAY2Ycht9siaDkhFvI9avuw97vBkJOJpoGVKCv\nRCKDo1ueC0o02Ax0TIoBNjBYKgDoCPS9G5G8OrYMdGcqC/QBfVp/vZcWGngGOuLT5LvhcBu1QpWi\nIUzwKaVpPwW0t4FxZB26aSNGXtz7kNeDazDnG6Vqr4WaBfTy5cvxr//6r1i5ciUUxf1xxhiJ6lHg\nOA4MOQ/FTPnevLY/4pEYrj3q3wMXLY3GoFYAIkN2Qn7T6tmDDWrh3rhUolte3W0s2Ax0XI4DNjBA\n9Z8AgHzRAMZg6Zj1nDgG9XD3VYyFoqaDSTYiAdR8AkAm5sa5aJCAHo7m3Zf8LC1LeokbphgoqiYJ\n6GHkPTHrZyMnhwvoah1RahbQxWIRqVQKL774IgCUjxxIQNfOrsEBMMVAwpgobA1TW7uEvXejUDCK\nQGRI2PpNNuHWWud0EtAcw3FFW9AuHAkl4da8Uf0nACDv1UDHpAQkVnOPeVlAF608HUePkoIWrKUj\nt1FTyQXiA+i2//elqBwBc2Qw2URRM5HNUC9GJSVDBaRgng0t3BHFLwF90003AQD6+/vR1tZW648T\nFWzavR0A0Bqhz1EkBcPNPrYlghHQ7UlXQBdMynpyDMd1JIkHMDiikmQkAZRoiAGnUHJroJOjbKht\ni7v3MjtSQlEzkYoHU4YwnhjyRA/mWmgpC2hqYhuO4QlovwfaRFgMlmKgpJIb0HCKhgrEgmkw56cx\nqlmd01zNKYY33ngDp59+Os4++2zs2rULp5xyCl599dVaX4YA8F6/Z2GXCL7+mRiC+28GXcJRski0\ncUwvAx3kJEJgqLYxT8fXAIDBkgYWMZCOjG4zWTlMpZ+s7EZFkQtoJZgMdCrKXSDInnY4/GSM25v5\nRZTF3BKOKv2Hw4RqutdDEKWmrQlXA2h2dZvJmgX0DTfcgNtvvx3ZbBYTJ07E2rVrsXbt2lpfhsCQ\nhd00ARZ2xBD8YkmNwnVgNKSj3kXqkGjjWHAfHEFOIgQq6z8p+wYAA6pbVtQyynKm1pibuXa9oEmQ\njYYS90QPqJyJOw8YJKA/gAVPQPsci7icAGQDBZoN8AHUcoO5//0xPMtt2D5loFVVxezZs8t/Pu64\n46DrlGkYDb1aLwBglgALO2II7r+ZHkXT1GjIeNk9AySgAbePwmbu0WXQJRxpfmRHx9cAhhpb2+Kj\nE9ARSUGMJWiYyhgYmsoZzLWQKNuokYCuxLRsOJJ3X/L5ZCwux8EY0K/SqeRwdO6EEkCDeXkzieru\nXTUL6La2NrzxxhvlP//+979Ha2tr1T+/ceNGrFmzBgDw+uuvY+XKlVizZg3WrFmDRx55pNblNDV5\nux+OwzCzXVwTYdixHQcWeAY6GAHNRyQ7su5aVoUc03LKD6qgSzj4kR0JaJe81w/QGsuM+jUySgtY\nRKVhKqNE9ZwfEtFgroWkl121mQHHcQJ5z2aAT8AD/N/Y82EqNA3yg/BGziBcOPh7mFUK6KqbCB94\n4AGsWrUKX/nKV3D11Vdj06ZNWL58Obq7u3HLLbdU9Ro/+tGP8Pvf/x6plPvQeu2113DppZfi0ksv\nrXYZ4wpDykM2kogowYxsJT5ISXPHeAPBCeiIpEByIrAVHYWSEXrbIs1wH1TMkUfl/DAWeKZVr7Lm\nbbxT9Bpb06PwgOa0xVqxx9iFvQXyOR8NmsUH2QRj6RjxXCAgG9AMC/EoPY8AQNVMoCyg/RVv/PQz\nT83MH0Av16H7v6FMyHwzWd1Qm6qfVr/4xS8AAN3d3bj33nvx3HPPYf369bj//vsxa9asql6ju7sb\nt99+e3mX++qrr2L9+vW4+OKLcd1116FQCM/uq7eQByIa4ghmfDSxfwqqJ6Ad5nujSCVRxMEiOnJF\nqnlTdROQTMgI3rGhJe4+uHizUNhRvbr80Uwh5HQkXCeOPUUapjIayt7DAfrzy04UUAyUNDoR4/AM\nNHMkRCR/NxW8FyOvh0cDVQtvMA+ivE+WZDBHAWQThmmP+O9Hne5JpVLIZGo75jvttNMgy0PZtiVL\nluDqq6/G3XffjenTp+P2228f7XKajn/0uBZ2LQpZ2InEte0yEEEsUM/amJQAFB25Egk3TbfApqLR\nQgAAIABJREFUZAsKgm0gBIa666n+EzBMGxZzM/GjmULI6Uq3AwAGtIG6rCtscOs0P6ffDUdhUTDZ\nQFGlDT1H1S1AsiAz/zf23H+Yhtl8EF5OEVSCS3aigGy4p9MjUPW2atOmTTjppJP2+3eMMTz55JPV\nr9Dj1FNPLYvwU045BV/72tdG/JlsNglFGduRd1fX6Ov76kXPG30AgKltExtiPUHTKL/z+70lMEVH\nXE4HuqZMLIMBdTcsyRL6WTRCHHqLBiCbiMqZwNfjOGnAYbCYIeyzaIQYAMDeAfdaAIBDJk5AV+vo\n1jWjMAl4FyhYuYb53UaikdZpeQ21k7qyga0rLidQcgYRjUdDfz/ibN1bcu9LUsz3dU3PdQLvAQY0\n4Z+B6PevxLLdBnMJwJQJ7ehK+b+2qBSDoeSRSMfR1XXwRELVArq7uxs//OEP69pkcNlll+FLX/oS\nFi9ejGeffRaLFi0a8Wf6+sZWI9TVlUFPj/javHd6tgEAOmPtDbGeIGmUGADAtp0DgGIgyuKBrinO\n3OzSll270dMjxsawUeKwY9egm+lxIkLWw+wIbKYLee9GiQEAbN2dB4u4AtrIM/Too1uXrLtHrQUr\n1zC/28FopBgAQ2Pt1ZyFHhbMuiKIgkkO/rlzL7oywZ8EAY0Xh109OTDZhIKU7+tyNLcYoGAUhX4G\njRaDomqWGzmLAyZ6iv6vTUEUkE28v70fUTgH3VBULaAjkQimTp1alwXyo/K1a9fihhtugKIomDBh\nAq6//vq6vH4z0Kv2Agows4Ms7ETSXyqAMSChBNNAyGmJpoES0K82zs1KFAVNBWNAVBLz4JadKGzZ\ngGnZUORgmxgbiXzJALwM9FgaavkwFUsuQdVNakqrEdMJ3hM9LscBGxggF4gyJa+JMCr5X3vLrzdq\nZt4X3h8DBOfQFGUxMDgYVEsADu4wV/WdbdmyZWNdFwBg2rRpuPfeewEACxYswD333FOX1202clY/\nHBmY3TVJ9FJCTX/J9b0NyoGD0xpPAwNDvrthJqe7dX/RgC3sOAqiMOQSVN1COhFuAc0iOqIsPiY3\nlMpphAN5HfF2EtC1UB4qFKAnekJJAAYwqJGA5hT0EhgLxv1hyH+YejEq4Q5NkiNDloJxq4rLccCs\nzlKw6rvkl7/85TEtitgXTcpBMhNIRMSIBsIl53U9Z6LBTCHktCdd95W8QQK6oHujiwOeQsiJsBiY\nbCGvhvvhlS8ZYIqOhDS2zWRUjiCCuDfOO9yf6WiwGc9AB/dsSHqWeXmNbNQ4+fJ9KQAB7SVwTGjk\nxV2BqluAbEFmAZ7GeJaFuSqG2oQ33SKQnKoCkRJiTuMU64cVLqB5F3RQdHgCumjRA6voPaiCyPTs\nj4hXOjJQDHf2bbCggkWMuoy0T0ppNwNdIJeZWnCn37lWckFuKNNRV8AVDLofcfh9KRHx3/2BZ6C5\nFzfhompuDXQkQIcmPliIn4weDBLQAninZwcAICOThZ1oit4Doy0xetuu0ZBNuAK6RAIaRSO4B9X+\niEnu+/aHvP6zX3VPQ/io+bGQibSAyRZ6clTjXwtD3sPBDhXiPsQFslErwy3lkgFMwJMlGZKjgCkG\niurI9mlhwc1Am1AC7I9J8s1kFUNtSEALYEvvTgBAZ7xD8EqIouleJNlEsKcBaa9kRAc9sPgYbVEC\nmk+fGqziyG48M+AJ6Jb42AV0Nu7WQffke8f8WmFC497DAQ8V4idwJZOa2Dj8swhqoI2CGKAYKFbh\nPxwWiroBJluIBSiguf960aQMdEOyLdcDAJic6RK8EkLzup7TAddAp70snwl6YKmmWyebEiWgvfrP\nXMjrP3NePX42PvbNZGcyCwDYq9IwlVpQvaapoAV0a8K9//HNLAGonp1gKqCBNlEWpwz0MHh/TJAN\n5hkvA10yRr4WSEALYE9pLwBgRpYcOESjO+5FErQLR1SOgNkKHFmramToeEazPOu0AEcXV1JuoKri\nyG48UzDcEpbWOgjoSRl3GuGgTgK6FngGWgmwaQoYEtBkozYEH6nOBZXfxKS418xMfQOcvOZmgYPs\nj2mJu/GuZjNJAloAOdOdQji7a4rglRAm49nPYAU0ACiIg0V01383xPDBEamYGAFdPrILef1nyXY3\nEGMZ483hGeiCSTXQtaDqrvdwJIDx0ZWkPB98wyHXFA6/LwVVwsFHVQ+Uwt2LUUlBD64OncM3k5o9\n8rVAAloAKssBZgytyeBFGzGEadmwJU+8BTxIBQBiLAEoOvLFcGccdNv9/dMBHZUOh2eYqql5G8/o\ntvv718PSMet5QZccsmmshaKmgbEhZ5ig4P0HJvkQl9Ed974UD0i8cSs73otAACWvvC8eYHkfb6jV\nSUA3HpphwI4UEbXIwk40BdUEUwwwR0ZEDjbjAwBxKQEmOegLuX2a4fASDkECOu7Vf5rhFQ+mZcNk\nXj9AHVw4WiumEYa9RKkWykOFghbQXvbTYuHezFfC70uJgAbapMq9GOF+HlRS8k4Fg+yP4SV91Qy1\nIQEdMJv37ARjDtLywUdEEv5TVN3RxREIqr1VXOG2pxDuOlHDCX5wRCWtXs2bFuIGqoJqgkVcwVCP\nEo64EoPsRL1phOHdmNSKKE90WZLBbAU2M2DTIA8AgOkJ6KDuS/zkJxfyXoxKgm7kBIY8uS2MvJkk\nAR0wm/e6FnbtZGEnnELJzUBHmRgBnfEGVvSVwl0napWPSsUIaO4BroW4gSpf1AFFB5z69QPEWcqd\nRkjDVKqGe6IHOcabIztRQDGgajTIw3Gc8kh1XpvsNxlvI1+kYTZleCNnOhacgI5IEcBhVZ3GkIAO\nmG2DuwEAk1OdgldCDJZUMNlCXBJTOtASc4VbvxpyAV0eXSxmlHeb1zQS5gaqfMkAi+iIsHjdBnik\n5AyYYmLPYLi/37XArbNEbCYVxMBkEyXyIYZp2YDsfg5BlXC0es8D8uIeQoRDE2MMkh2FI418GkMC\nOmB2exZ2h5CFnXD6iu6DPaGIEdBt3vCWnB7uphGbuQ8qUSUcQw1U4c2U5ksGmKIjVsfNZEvUnba5\nM9dXt9cc7xS9OvygRFslESkGyKZb2hZySt4EPCC4+xI/CVPtcDczV8Ib+ZIBP6NlRMBkc8TTGBLQ\nATNouA+TORPIwk40fHSxCAcOAOhIuHXweSO8TSOmZQNS8KOLK5GYBFhKqBuoBosaoBhIyvW7Ftrj\nbQCAPUWaRlgtmiegkwKGCsVYDIwBfaVwb+gB14+befclWZIDeU/u/hDmUrLhlOvQA95QKnA3k6p+\n8NMYEtABU8IgYEbQlW4RvZTQM+gJ6KCnEHI6ve9AyQpvzZtmWIBkQnKCd0GpRHLcI7uw0lfKgbH6\nOHBwJqTcYSq9WribZGtBC9h7uJK4l+XrV8O7oeeoXgZaQXBlZbz3IMylZMMxy3XowQroCIuCyRZy\n6sFjQQI6QEzLgqXkESELu4aAT55riYkR0O1JV0BrIT6y03QLTLYCH108HMmJwJEMOCF1IOB1+PVw\n4OBMbnEbpXP6YN1ec7wjciont7LLqeHd0HNU3QSTLSgBDrThZQrkxT1EuZEz4Ax0THKvhcHSwa8F\nEtAB8l5vD5jkICWRhV0jUDC90cWJ+omGWuBiRUd4BXQ50xPw6OLhKIgCsomSHs4sND+NaY3XMQOd\ndqcR7i31o5+s7KqiPFQoQNcBTpJ8iMvw+1KEBSfc4koccABb0kO7ka/EdhzYLFgnFA6ve+8fYSok\nCegA2bxnBwAgG80KXgkBDE2eyybEnAhE5Shgy7BYeMVFSTMByQp8dPFwIl7950AxnJuZvOEK6I5k\n/UrLsl4NtK2U8MCGzXV73fGM4QnoIAdHcFLeRM48+RCjqBlgshXoQBuJSZCcKCAbroAPOdo+jZzB\nJlj49MmRrgUS0AGydcC1sJuYJgu7RoCXTmQFZaABQLbjsGUNlh3OaW15reSOLhacgY4xnnEIZwNV\n0avDr+dmMqHE0R5rg9yyF0+/tQn/3EV2diNhekOFEgIEdJqPtDfCuYmsJO+VsQTtDKQgCqYYKKpk\nJajqFphsgjlKYI2cHF5Ok9NIQDcMpu1eFPMnzBC7EAIAoDve6GJBTYQAEEUcLKIjXwxn6UC+PLpY\njIUdJ+YdEQ6McGQ3XilZbhzqWQMNAB+bfSYg2VBmvI57//sfdDQ9AtxKUYQneqvXC1IySUDnvYmQ\nQQvoCIsDsoEieXG7DhiSKaQ/ho9VL+gHvxZIQAfI/z36dHz2sMvxoe7ZopdCYGjWfSoiTkDHpASY\nZKO3EE7hVtD45DWxGWheYzc4QsZhvMLr8OvpwgEAyyYsxvz2uZBb9+IfuTfwyjt76/r64w3uOiDC\nE73FGyhUCvFIew4XTgkl4NpbKQ4m2xgMaSlZJarXYB4RIaC90eGFEU5jSEAHiCLLOHzqDNHLIOCN\namUa4AR/k6wk7vnu7imE0+qL36CCtikaTrmBKoT1n7btwGKuaKp3BpoxhvPmfgwykxE55E38+i9v\nuN7fxH6xIW6oUNYT0Hx4RZgpetMAgy6liXvuD3xGQZgR2WDOPblHOo0hAU2EEs2wANmA5ESFDfAA\ngLTiPrT2FsJp9VU03Ie1iNHFlfDBFSMd2Y1HCqoBKDrgDHnR1pMJyU6cMeNksKiGvYmN2LBxe93f\nYzzgOA4cZgAOQ0RSAn//1rgnoB3KQPNx2smAkyt8Km5YS8kqKWq618gp4DTGuxbUEU5jSEAToaSo\nmmCKDgXiss8AkPYyfn1qOBusSoaX6RF4CgAMNVAVQpiBzpcMsIh7Lfi1mTyl+/9BZ7wT8sR/4oG/\nvURNUvvBMG1AsiA5Chhjgb8/P4Xh09/CjOpt7IP24+Yb2EGyEkRBc5MZIk5jWr3TGG2E0xgS0EQo\nyZcMQDEQZWKFW5vnuzuohVNAqwJHF1dSdiAww5d9y5cMMEX39VqISAoumLcKjAHm5I14+BmytRuO\narhH1pKgoUIxOQY4DGaIR9pzeOYxHav/iczBICvBIYYaOYMv4WiLV1fORAKaCCX9xQKY5JRrzkTR\n5tmG5fRwZhzKAlrA5LVKJrW63uyMha8+d7CgAYqBuOSvWJjXPgfLu5ZASg/iv//5DHr6w1cuczBE\nT+VkjIHZEdgkoKF7EyEzAQ+0afEEe8EgAc3L6YIeogIMbZzMEcaqk4AmQklv0W3SSMjBZhiG05F0\np1IWjHAKaM1yb1DpaPCT1yo5fPIMnDXto/j/jjxN6DpE0FscBGNASvHfjebjcz+KCItBmvI27vnL\nq76/XzOh6RYgmYGOjx6O7A3yCKsvPUd3eAlHsPclXodOXtxAQRfTyAkMNbVzW8kDQQKaCCX9Xs0x\nr/sTxYS0K6BVO5wZBz66OBUTm4FmjOGMucehMxm+KaG9JfdaCMIPvTWWwao5Z4ApJl7TnsKmbeF0\nn9kfJd0Ak22hUzndkfYGSlq4J+EZDvfjDrb+lp9Iqnb4SsmGU27kFCCgZUkGbAXWCKcxJKCJUDKo\nuhnftEAPaADo9AS05oQz46A7Yo5KiSEGPMus1lgwEzmPn3oMJsYmQ+ncgTufeoqGq3jkvCPrSIDj\no4cTYTEw2UauFG4BV54IGbA7UDbpNa9Z4XweVFIS3B8j2RE40sEHnJGAJkIJrzluiYkV0HElBtgS\nTITzgWXyDLTgEo4wM6i7GehsvCWQ95OYhEsWrwYchp7M3/DXN8jWDhgaKiRyKmeU+xCH3EbN8o7u\n4wG7A/FTIH2E2tswoJq8kVPMs0FGFJAP7hYUuIDeuHEj1qxZAwB47733cMEFF+Ciiy7C2rVrKRNB\nBEbBdEsmWr0jM5EwKw5LCucNk09eE+0DHWaK3rXQngpGQAPAIZlpOGrCUZDiRfz6fx+DYYa7ZACo\nmMopwHWAE/PE+0ApvIM83CFbYiZCJj0faBPhfB5Uwh0wRPXH8HKmgxGogP7Rj36EL33pSzAMd1Hr\n1q3DFVdcgV/+8pdwHAdPPvlkkMshQkzJ63JuTwRzbH0wFCcGR9FC2bjDMz0ivD4Jl6LlXQvJ4AQ0\nAJw3/0xEkYTe8TYeep4aCgsGF9DirgUa5MH9uPlEyGA3M9xK0GIkoHl/TCYuRkBHWAwj2bEHKqC7\nu7tx++23lzPNr7/+Oo488kgAwMqVK/HMM88EuRwixKi2W2PWnhKfgY6yBJhko78YvkZCC2IeVMQQ\nmtfA2lLnMd4jkVDiOG/uR8EkG3/ueQwD+XCLhqGhQuIENM+ADobYh1jVLTDZhOQogU+pZYxBsqOw\nJQN2yE/kDU9AixqyVU0pVaDfjtNOOw2yLJf/XFmykUwmkcuFc5gEETyaN662LS5eQCc8/93eYvjG\neTvMALNloePUw47h1d9nAhbQAHDM1CMwQTkEyOzBz57578Dfv5HgTVNxgUOFeC9CGCdyclTdBGTT\nrYEVgIIYmGJAJScUAMHXoXPiVZwEKQGs44BI0tBDs1AooKVl5CPEbDYJRZFH/HcHo6tLvGgKO6Jj\nwI/IDpk8QXj97f/7oVPw6JtRHDXvUChysJekyDhYlg1Hcievif4+iETk727bDiymQnKAGZMn7nNP\nDoprTrkUVzxyA962n0GvdgIOmzYx8DU0wvfPllzB1NmSEbaeCW1ZYAAwmSFkDY0Qh5xug8kWIiwp\nZD1RKQ6N5RBPRtHVEXyTeyPEAEC5Dn3KhHZ0JoNfU0s8DYywjxQqoOfPn4/nn38eRx11FDZs2IAV\nK1aM+DN9fWPbGXd1ZdDTQ5lukTRCDEyogC1hsFdDTvDkrQXZWViwYhb6eoO1LhIdh6JqgMkWJCcq\n/PsgCtExKKgGENEhOzHs3Sum7jWGFJa3rcDfB5/GLU/cgxvPvCzQ9xcdA06uWHCfyKYkbD2K5UqC\nvmIu8DU0Shx27Br0MtARIetREAWTHGx+vwdSwH0xjRIDwO2PYQCKAyZ6CmLiMBJCzk2ZV5l9zTXX\n4Lvf/S7OP/98WJaF008/XcRyiJBh2w5syYDsxMrfRSJ4VN0CZBOKoNHFBJAvGmCKjgjEDrK5+IiP\nQDEz6I+/hT+/+brQtYhCs7ilo7hYtMTdcjLVDK8PcUHTwCRbmJ1gXHLLaPpD7IRiOw5sxvtjxMQh\nWUXpSOAZ6GnTpuHee+8FAMyYMQN33XVX0EsgQk5RM8EUHYoj3oEjzKi6CSZbUGxqIBTFYFEDFAMx\nJnakfVSO4OOHno1fv3c3fv/uf+HEeQuErkcE3HVAlO8tALR5R+WaHd6Gzpzmbh5iggR0QokDBtAX\nYgGteY2cTEAjJycTG/meSJ07ROjIl1QwxUSEic26hZ2c53sbkSgDLYqewiAYA5KyWAENACsPXYxZ\nyhHIRttFL0UIhidaRU7lbPcm4ekhFtB5LqAFOQMlFfda5NNywwg/nZQdcc+GdBUCWmgNNEGIYG/B\n3dnHJJp+J5K86o0uZpSBFkWf5/ySUsRO5ORcufIC0UsQhuGNjxZawuFNZjVCPMij4I1UF+X+kI4m\ngRKQC7ETimZYYJIJRWBpWTVTiikDTYSO3qLbkJCQKQMtkpzOMz00REUUfSX3WsgIHmlPAGYDDBWK\nyBHAlsoDjsJIsezHLVBAAygYYc5Am4BsQRGYXOH9AAeDMtBE6BhQ3Qx0KiL+2DrMFHXxk9fCzqDm\nCuhG8EMPOxb4+GixJzLMjsAS7EwkEi6gk4L8uFvjaW8d4W3k5A5NIk8ns0nKQBPEBygL6Chl3UTC\nHxDVGNYT/pDT3SxXNhHsGG/ig9gQ6zrAkZwoHMkQugaRqKYroEWV0rQm3OdSyQqvgOaNnKKcUICh\nOBwMEtBE6Mhpbm1ZKwlooRQNPnmNBLQoipZ7LXQkSUCLxmYG4EiQpbENChsrihMDZAOGGc5JeKrl\n3pd4KUXQZJNuBlqzVSHv3wjkvfpvkZvJmBwF7IPb3JKAJkJHwXSzbi10bC2UEq81FDi6OOyUPAHd\nlW4VvJJwYzsOHGZBssU70kSYO8hjoBTODKjGBXRczH2pPeE+l8gJRezpJGMMGOF6JAFNhI6iNySA\n7/QJMaim+4BIkYAWhu6410JLjDaTItEN17ZLaoC2pKhn79lXbIyJdEHD/bgzgjLQPPNtILwZ6ILX\nHxNXRJczkYAmiH1Q+bF1io6tRcKPSkXadoUdk6mAQw21onEHR1gNMZUz5rkT9ZfC6QJhOPy+JMbm\nlJxQKhs5xVrNys7BmxhJQBOhg9eWdSQp6yYSfkQpcvJamHEcB7akQrJjwqZ9ES4l3QQkEzITL6Dj\nnoAO6yAP0/HsBAVmPyU7ClsKr4BWLbFOKBwFB/8O0F2TCB18SICoJhHCRbfcTn8S0GJQdQtQdLdp\njBBKUdPBJKchhgrxrN+gGs5BHqZnJxgXOCdAdmJwZAO27Qhbg0jK5X2CTydHuh5JQBOhw2IaYCnC\nu93DjuFlekSOLg4zA0UVUAxEGX3+osnrjTOV87AJ0wAAU7LhbCy1PQGdEJiBVhAFZAMFLZxZ6HIj\np6AyGk5b7OBlnuI7FggiYGxJh2xT1k00/KhUdJYhrOzJD4IxIC7TSYxo8qp7ZB0VPEQFAE6esxwr\nZsxHMoR18Y7jwGYGJIchIokrp4myOEoM6CsUkEmE71nFBXSmimmAfvK5FasO+veUgSZChWHa7rH1\nCLVNhP+Uj0oFjcwNO3vygwCAJAlo4RT4WHtJvIAGEErxDAC6YbtuKI7i2pgJgjdy9hXzwtYgEsNu\njNPJkdyJSEAToaK/WAST7LJVEyEO3mUuenRxWEmmbQDA1Gy74JUQBYPG2jcCqm4CsgkZYu9JcdkV\njv1qOAW07p1Oim4iHAkS0ESoSMTdrMKU1g7BKyFsZgK2TA4QguhscbOMvOaVEEdR96ZyCva9DTuq\n4doJyoLtBJOKK6AHQmolyE8nG31DSTXQRKhIR1P4zOGfwPTMVNFLCT0OMyE7dAsSxazWGbh+xTXI\nxttELyX0qCafytnYgmG8U1JdO0HRzZypaBLQgZweTgHNTycbvbyPnl5E6FjctVD0EkKPbTuAZI44\n6Ynwl44ElW80AiXPtovG2ouloKkNYSfIpyDm9XBaCdrMAEPjl/fR2SlBEIGjeaOLRR+VEkQjoFnN\nUfM53hnU3GbOqCT2JKAllgIAFIzwCWjHceAwE8xWGr68r7FXRxDEuKSoGe7o4gbwvSUI0Wg01r4h\nyHsCOi649rYl7groklkSug4R8OSK1ATJFRLQBEEETkFzaz4Vwd3uBNEI6J5tF03lFAu3ExQtoLPJ\nNIChkdZhQtUtMNmE0gTlfSSgCYIInJzqTV4TOKyAIBoF7nsrevJa2CkLaMHNa+1J139Yd8IpoCGZ\nTXE6SQKaIIjAyWlubV+0QQZHEIRIymPt41TCIZKi18wpuhY9m0wDtgxZFroMIZQ0A0y2m0JAkwsH\nQRCBU9BpcARBcEzH9b1NRCgDLRJuJ5gUXIsekRX869JPIZs4+CS88cig6lr3NUNyhQQ0QRCBwwW0\n6FpDgmgErPLgiMYXDeMZ1VQBBUg1wEZmXucs0UsQQtkJpQmeDVTCQRBE4BS90cVxGhxBEK6AdoCo\nTD0BIuF2ghlq5hRG3ivva4bkCglogiACp2R4gyMafNIUQQSBzQzAaXzf2/GOZrv3pUw8KXgl4aXY\nRKeTdLUSBBE4JV5rSIMjCAIOMyHRWHvhGFxAUwZaGPx0shmSKySgCYIIHNUbHCG6WYcgRGPZNiBZ\nNNa+ATC8Zs4U2QkKo1GcUKqBBDRBEIHDJ6+lm+AmSRB+ouk2jbVvEEy4NdBxme5LouDTF5thE9MQ\nZ0arVq1COu1O3pk+fTpuvPFGwSsiCMJPdEsHJCBFR6VEyCnp3lh7iwS0aCxPQMeUxq+/Ha9opg4o\nzXE6KVxAa5qbibrrrrsEr4QgiKAoT16Lk4Amwk1e9cbaMxLQorGZCeZIiEjCpVFo0SwNUJqjDl14\nCcebb76JUqmEyy67DJ/4xCewceNG0UsiCMJnbObWGrZStzsRcnLe+OhIE0xeG884jgNHMiDZtJER\niV5u5Gz8Z4PwbVYikcBll12G1atXY8uWLfjUpz6Fxx57DJIkXNsTBOETk7piGBgA0k2QZSAIPymo\n3uCIJpi8Np7RDAtMNiFRLbpQ+Fj7liZIrggX0DNmzEB3d3f5/7e1taGnpwcTJ07c77/PZpNQlLEN\niO/qCt94zEaDYtAYiIrDqfNWYGpPJ6ZP6gRjTMgaGgW6FsQjMgZsq/u/6Xgy9N8Fkb9/76AKSBYi\nLBXqOIj+3S3vdHL6pE60Jxs7DsIF9O9+9zu8/fbb+MpXvoJdu3Yhn8+jq6vrgP++r684pvfr6sqg\npyc3ptcgxgbFoDEQGYf5qQWYn1qAPXvyQt6/UaBrQTyiY7Bzbz8AQLLlUH8XRMdhx96864biREIb\nB9ExAIb6YwoDBqyC+DgcbEMhXECfe+65uOaaa3DhhReCMYZ169ZR+QZBEAQRCkp8rD05Pwglp5bA\nGBABldKIxIKbgY7KjR8H4QI6Eong1ltvFb0MgiAIgggcPpWTBLRYBsu16BQHkdjMgGQ3x1j7xl8h\nQRAEQYxT1CaavDaeyXtuKLEmyHyOV1wnFLNppnKSgCYIgiAIQaimW/NJAlosec3tr4rJlIEWhW7Y\nrhMKCWiCIAiCIA4GH2vfDJPXxjMFrxY9oVAcRKHqJiCbUJrEE50ENEEQBEEIQuNTOWMk3ERS1ElA\ni6ag6WCSDaVJvLhJQBMEQRCEIMpj7aM0VEgkvJkzRaU0wuCNnJEmGSpEApogCIIgBMEFdCZOAlok\nvJkzRdNRhZFTCwCaxwmFBDRBEARBCML0fG9JQItF9WrR6SRAHDnNzUDHm6SRkwQ0QRAEQQjCdFwB\nHafaW6HollvCkYklBa8kvBS8OvRmcUIhAU0QBEEQgrCZAdgMEUn4XLNQozteKQ2VcAijaLgZ6EST\nDBUiAU0QBEEQgrBhAA6JZ9HwWvSWBGWgRVF2QmmSRk66agmCIAhCEEy2IDWJbdd4hteTwQp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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -883,7 +1009,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 30, "metadata": { "collapsed": false }, @@ -901,7 +1027,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 31, "metadata": { "collapsed": false }, @@ -954,7 +1080,7 @@ "Name: Canadian_Solar_CS5P_220M___2009_, dtype: object" ] }, - "execution_count": 21, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -973,7 +1099,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 32, "metadata": { "collapsed": false }, @@ -982,43 +1108,36 @@ "name": "stdout", "output_type": "stream", "text": [ - " i_sc i_mp v_oc v_mp \\\n", - "2015-11-21 00:00:00-07:00 NaN NaN NaN NaN \n", - "2015-11-21 03:00:00-07:00 NaN NaN NaN NaN \n", - "2015-11-21 06:00:00-07:00 NaN NaN NaN NaN \n", - "2015-11-21 09:00:00-07:00 1.060435 0.955692 52.816629 43.471397 \n", - "2015-11-21 12:00:00-07:00 2.553277 2.290126 54.789419 44.995256 \n", - "\n", - " p_mp i_x i_xx \\\n", - "2015-11-21 00:00:00-07:00 NaN NaN NaN \n", - "2015-11-21 03:00:00-07:00 NaN NaN NaN \n", - "2015-11-21 06:00:00-07:00 NaN NaN NaN \n", - "2015-11-21 09:00:00-07:00 41.545276 1.033531 0.745742 \n", - "2015-11-21 12:00:00-07:00 103.044799 2.491085 1.723103 \n", + " i_sc i_mp v_oc v_mp p_mp \\\n", + "2015-12-10 20:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-10 23:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-11 02:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-11 05:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-11 08:00:00-07:00 0.002169 0.001968 36.421774 0 0 \n", "\n", - " effective_irradiance \n", - "2015-11-21 00:00:00-07:00 0.000000 \n", - "2015-11-21 03:00:00-07:00 0.000000 \n", - "2015-11-21 06:00:00-07:00 0.000000 \n", - "2015-11-21 09:00:00-07:00 0.207936 \n", - "2015-11-21 12:00:00-07:00 0.499688 \n" + " i_x i_xx effective_irradiance \n", + "2015-12-10 20:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-10 23:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-11 02:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-11 05:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-11 08:00:00-07:00 0.002113 0.001569 0.000428 \n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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KTvQIn6FGlqPrB6t9UI+QSUZQqvLm1Cl5rTkt0+FMeIY93YmkMZCa8E2bNuGz\nn/2sfSBzenoamzdvHsS3JnJcsWTgaKGK1w4UvF7KSBGPz8dmLEdptSmc6d+Ts8SgnmS8dQlpb1O4\nMMMkS78K5WYm3OmDmQmWoxDJYiBB+Lnnnot///d/x6uvvgrTNHHaaachEuFoY/IncfE6WmAniEGa\nniMTzjaFgyUG9aSOyYSLDikMwp1QsDPhDh/MZCacSBquBuEHDx7EnXfeiddeew0rV67E5z73OaTT\naTe/JZHrRK1mqVpDVa8jGgl6vKLRIOqNZ8p0i6mZ7JAyGHY5SltNuD2NkXXhjmjVhLtzMJNBOJH3\nXK0J/+IXv4jTTjsNn//856HrOu6++243vx3RQLRfvI4WmQ0flGlt9oOZdjkKM+ED0T4tU7AH9jC4\nc0ShpCMUDCDm8E0+y1FomFX0mq8O6LuaCT906BA2bNgAAFi9ejWuuOIKN78d0UCIA1NAoyRl8XjC\nw9WMjlyxCkWZ+aCafTCTo+sHQpSjtE8u5eh6ZxVKBtLJsOMDdWKRICLhADPhNHRqdROb/uGXOOeM\nhfjTNWd6vZyOuJoJD4fDx/wz68D7VzdNvPjaEViW5fVSRla+reThaKHi4UpGS66oQ01EEAicGJSw\nJnywxMHM1HHdUQAG4U7Jl3THS1GA5uj6ROSYzzHqX76k4wf/tRe6we5AXslrOqaLOl79Xd7rpXTM\n1SCcgaLzfvn8QXxt+/+LPXsPe72UkXVMOQoPZw5MTtMxNkunCBGssBxlMIoztShs1urnWKLVt6pe\nh26YjvcIFzKpCPKaDpPXaMc8+esD+PEvXscz/9+U10sZWSIBcMRH12VXy1FeeeUVXHbZZfafDx06\nZP9ZURQ8+uijbn77oXToaBkAcOBwCTjD48WMKAbhg1eu1lA16jNOywSAVLNVXpHZvYHQKicezEzE\nQggGFJY5OCDv0rRMIZOMom7mUanWkYgNpEna0BPdmw7n+XTUK+Kzp1g2YNTqCIfkb5rg6rvvZz/7\nmZsvP5LsOz2+0T2TL+lQAFhgED4ouTkOZQJAOBRENBJEgTXhA1EsG4iGgwiHWg9TA4qCdDLCchQH\niN9jt4LwNRedglNOSjEAd5C4ceI1wTvtJVZHClUsysp/XsvVd+CyZcv6fo09e/bg3nvvxdatW/H6\n669j48aNCAQCWLFiBW6//XYoioIdO3bg+9//PkKhED796U/jgx/8YP+Ll1Teh49bhk1e07EgE8N0\nUbezH+QIWIX9AAAgAElEQVQuUeIwNksQDgBqPMya8AHRyjX76UO7TDKC/W9rsCzL8QOFo8RuT5h0\npxzljKUZnLE048prjyr72pznNcErxzylzvsjCB/I2PpePfDAA/jSl74Ew2hcWO+++25s2LAB27Zt\ng2VZePTRRzE1NYWtW7di+/bt+Pa3v42vf/3r0PXhzcSID2dmwr1hWhYKJQOZZARZNcKboQGZbvae\nFgNhZqImwiiWDZ5FGYBixTimFEXIJCMwaibKVR5O60ehGUyocTYz8Is8h7h57vjOZX4gdRA+OTmJ\nLVu22BfVF154ARdeeCEA4NJLL8WTTz6JX//611i5ciXC4TBSqRQmJyfx8ssve7lsV4mBJX75BRs2\npUoNddNCOhlBNhVFvqj7qiepX9nlKHOM8E7FGwGgbnA/3FSrm6jq9WMOZQqtXuH8fOqHXRPuUiac\nnNc6FMgEmVeOLUfxxz64HoTncjkcOXLE/vOuXbuO+fNcLr/8cgSDrcL69gxXMplEoVBAsViEqqrH\n/H2xWHRg5fKxLMv+JctrDP68ILId6WQEY2oUFjh5bhBa5SizZ8JbbQq5H27SZuiMIqSbTyr4nuiP\nqAl3o0UhOa9umvaMgkKpcSiQBs+PTRNcrQl/4YUXcOONN+Luu+/GpZdeCgB44okncOutt+If//Ef\nceaZ3TVTDwRa9wzFYhHpdBqpVAqaptl/r2ka0un0vK81MaHO+zWy0coGjFoj8LYAKOEQJhYkvV1U\nH/y4BwdyjTf24oUp6DUTePEQrFDQlz+L4Ie1V5q/96eekp31d/6k5t+HoxFf/Ezt/LTecr2RDJnI\nJk5Y97JFjT9bAf+9J2Rar242/h8vX5bFxIgNA5NpHzp1NF9BexGcEg5jYiGvzYNWqtYQDCiomxa0\nat0XP4erQfg999yDb3zjG7jooovsv9uwYQMuvPBC3HPPPXjwwQe7er13vvOd2L17N1atWoXHHnsM\nF198Mc4++2xs3rwZuq6jWq1i7969WLFixbyvNTVV6PbH8dyBI6Vj/rz39SMImv7Mhk9MqL7cgzd+\nNw0ACCmAEmwcPHv1jaNY4FI/X7f5ZR8OHm7caJu6Met6g83L4Bu/m0YmJn9rKsEveyDs+10OABCA\ndcK6A82nlfveymFq2fzJEFnItgdTzc96vaJjamp0sqqy7UOn3jh47Jr3vn4YIYvX5kE7kq9g4Vgc\nR/MVHHhbk+bnmOtmwNUgPJ/PHxOAC+9///vxta99rePXEafsN27ciNtuuw2GYeD000/HmjVroCgK\n1q9fj3Xr1sE0TWzYsGFoJ3OKR/LJWAhapcbDmR7ItZWjiN4Pfnns5We5oo5ENDRn39cUR9cPhChH\nSc1ZE85ylH4USjqikSCiYf/cTI4yUSaaVaM4WqiyQ4oHREnQkvEEYFm+mWbtahBer9dhmuYxZSQA\nYJomarVaR6+xbNkybN++HQCwfPlybN269YSvWbt2LdauXdv/giWXbwYXy5ek8fyrR9iZwwMFe4hG\nGMFg4/f6KNsUum66WJ21R7igcnT9QNjTMmfpjgLwYGa/CiUDaZ8+XRtFohZ5+WK1EYT7JAAcJsWS\nAQuNBFkgoODg0TKMmnnMLAMZubq6Cy64AFu2bDnh77/5zW/irLPOcvNbDyWRCV++uPFog5nwwWs/\nmJltHhJkJtxdRs2EVqnN2RkFaB9dzyysm7RKI4EyUyY8nWQm3AnFssFDmT4iWuNNimszrwkD1/6U\nOqvGAMAXczxczYTfeuutuPHGG/Hwww/jPe95DyzLwgsvvIDx8XH8/d//vZvfeiiJR16nLmnUWjL4\nGzzxYZtORhANB6GA++A2ceMzV2cUoBUUshzFXXYmfIZhPbFICNFIEPkig/B+/OHFk1i6MOX1MqhD\n4snP8sXNazPLUQaufcpsPNqoxz9aqGJiLO7lsublahCeSqWwbds27Nq1Cy+++CICgQCuv/56XHDB\nBW5+26EleoQvWZBAJBRg3ZkHcpqOUFBBIhqC0hzTPc0g3FXTzQvcfOUooiac5Sju0iqz14QDjZIU\nZsL788eXnOr1EqgLIlFwsrg2sxxl4NqfUot21n6oFnA1CAcabQXHx8exZMkSxGIxLFq0yO1vObTy\nWmtqYFaN8o3ugUJJh5qI2IeFs2oUb05xTLebch1MywQaB5YVtDIi5I65asKBRhD+ynQOpmkhEOB7\ngobfMWWKzcOZNFjt5SiB5rXYD/vgahB++PBhfPazn8VvfvMbTE5OQlEUvPrqqzj33HPx9a9/vaN+\n3tSS03SEQwHEo0GMp2M4+PpRGLX6nB0jyDmWZSGv6VjS1qc6q0bx2oECtEpt1swg9ac1qGfuTHgw\nEEAiFrKDRHKHNkc5CtAIwi2r8URivjp+omGQ0wzEo0FEwrw2e6U1ZTaCcLNpgh9q8109mPk3f/M3\nOP/88/HEE0/gX//1X7Fjxw488cQTOPPMM3HXXXe5+a2HUr6kI93Mwo6rPBQ4aBW9Dr1m2ofPAGCs\nuQ9+eOzlV9MiEz5PTTgApBIRFEsshXBTsVxDPBpEMDDz5UM8scj54FAUkRPEtRkAr80eOeZpRNo/\ne+BqEP7yyy9jw4YNCIdbGcJIJIJbbrkFzz//vJvfeuiILKyoixW/ZKwLH5zWnXbr91l84PrhFLZf\n5ewyrPmzqmoijGK5BtOy5v1a6o1WMWYtRQGAdPMziqPraRSYpoVCSbeTM7w2eyPf1j5YjYcRCgZ8\n0Svc1SA8FovN/E0DAQSDfEzTjVK1hlrdarvbbvy/ZV344BTaOqMIY2xT6LpOy1GARq9w07JQrnY2\nh4C6p5UNJOcovcqwTSGNkGLZgGW1rgvi2sxrwmDlNR2RcACxSMiuFvDDjZDcXczJ1v6oBQDGffS4\nZVjYBz/a+vfy0aP7pu2zEPMfYWGbQnfpRqMka67zDwzCaZTkjrs2Z0WJIhNkA5XX9GOuzVk1irym\no1Y3PVzV/Fw9mPnKK6/gsssum/HfHTp0yM1vPXRaHSKOy4T74E5vWLQf/BDGGIS7LlesIpOMdNR9\nxm5TWDKwaNztlY0eMagnGZv90mGPrmevcBoBdtcy8ZQ6LZ5S85owKKZloVAy7EGGQKMsyEKjVHRh\nRt5e4a4G4T/72c/cfPmRcnwA2Ko74932oBz/NAJoZT0YhLvDNC3kNQOnndxZJyU13tibAqdmukJ0\nRpk7E948mMnR9TQCjr8u2NcEJsgGplSpoW5as16bRzYIX7ZsmZsvP1KOz4QnoiFEw0EGfwMkboQy\nbY+8YpEQ4tEQjvJgpisKZQOmZXXc6o7lKO6ar0c40DgcC/BgJo2G4w+OJ2MhRMIc2DNI4rNGPaZU\n1B+1+awJ94njM+GKomA8HeUjrwGy3+jHBYRZNcqpmS4RhzLnm5YpiACQvcLdMd+0TAAIBQNIxcOs\nCaeRMNO1OavGWCo6QDM9pR5X/dGlhkG4T9iZ8NSxj1uKZQNVo+7VskZKXtOhKI0OHO2yahRapcZ9\ncIGdZeqgRzjA0fVuK84zqEfIpCKsCaeRMFsAWCwbMGq8JgyC/ZS6vRwl7Y8DsgzCfaLVA9N/j1uG\nRV7TocbDJ4zizjYDRGbDnSf6r491WI6ishzFVeJg5nzTYTPJCErVGoMQGnpzZmF5TRiI4zvUAEDW\nJ/ERg3CfyBVFD8xWf3W7TSEPZw5EvmScUIoCtE3NlPzN7ke5LqZlAkBKHMzk1ExXdFITDrBNIY2O\nnKYjGgkiGm5dm7PNDik8nDkYhbZBPYKaCCMYUBiEkzPaR9YLbIU0OEatjnK1dsyTCMGemsl9cJwI\nwjsZ1AOgOU5dYU24SzrpjgK0d0hhEE7DLa/pxxzWB9oz4UyQDcJMTyMCioKsGmUQTv0zjxtZL9hD\nAZgJd12+OS1zpi4ddq9wdkhx3HSzzV2n3VEURUEqHmZNuEtaNeFzB+HiYphnXTgNMdGfOn3c59M4\nR9cPVH6GadZA42ZoulhF3ZR3YA+DcB+we2DOcrct+53eMJhpUI8wzr6wrsmJw7AzPIGYjZoIsybc\nJVqlBgWNFqlzsQf2MBNOQ6zYbKF6/HXBL/XIwyKn6QgFlRM+l7LpGCxL7sFhDMJ9oNWm7di6WJaj\nDE6rD+mJGUBmwt2TK1aRTkZOOAw7l1Q8jFK1Jv24Yj/SygYSsdC8+8GacBoFee3ErhxAeyacT6kH\nIa/pUBMnTlXO+uC8FoNwH7DrnY4LAOPREGKRIN/oAzBTzZmgxsMIBRUcZf2foyzLQq6oYyzZ2aFM\nIdXMmotOHuScYsWYtxQFYBBOo2G260Ii2hjYw0y4+yzLQqGkz3ht9sNEawbhPpCboQemMJ6OSf0L\nNixm6kMqKIqCsZT8B0D8plytQ6+ZHQ/qEUSbQnZIcZZlWdDKxrydUYDWU7scnw7REJupNR7QHKan\nxqTOwA6Lit64TszVNEHmDnIMwn1AHG5Kz5ARHBeDYnT243XTbB+2QlaNIqfpUh8A8Ztc81Bmp51R\nBI6ud4dumKjVrXk7owBAIhZCMKBwdD0NtdZT6pmzsMWyAZ1D3FzVOq914ueSH0p2GYT7wNyZcLZC\nGoRCM6Cb6cMWaHzgyn4AxG+m57j5nEuKo+td0em0TKDRHiydjLAchYbabDXhQNscD4kDwGEwV6ko\na8LJEXYmfIaMoDiFzVZI7modzJw9CAd4ONNJvWbCVY6ud4VWafYI76AcBWgEJjlNh2VZbi6LyDOt\nAHCGLKwqfxZ2GNg3QjNcm9OJSHNgj7xJSgbhPmBnwueoeWIm3F15TUciGkI4NPNbRoyuZ5tC59jT\nMrvMhKvNqZlF1oQ7qtMe4UImGYFRM1Gu8nE8DafcHK1rs+yQMhD50sw9wgEgEFAwlopI/TSCQbgP\n5IvNsbhtI+uFcY7HHYicNvPpa8EeU8xMuGO6nZYpiJplZsKdJbrNdFITDrT3Cud7goZTXtMRDQcR\ni5xYojXOXuEDYT+lnvW8VgzTBR2mKecTOQbhPpArnTgWV8gyE+66umlCKxsntIhsJzLhHF3vHHta\nZo/lKDyY6Sw7Ex6bvyYcaNXy83AmDau8ps9YigK0P6XmNcFNc5WjAI3afNOypD2fwiBccqZloaAZ\nM9aDA+0HM/lGd0uxZMDC7J1RAGBMbfw7Zj2c02s5SpKZcFdozf+fHWfC2SuchphpWchrJ46sF+yD\nmSxHcdVcBzMB+ROVDMIlJ8biznaXF4uEkIiGWI7iovnaEwLAWCoKBQzCnZTTdCRjs9fhzyYaDiIS\nDjAT7rBeasIBdgyi4aSJkfWzXJvj0RCi4SATZC7LlXQoyuzJAdG8QtYYiUG45ObqjCKMp6PS3uUN\ng/wch2+EUDAANSn3ARC/yRWr9tCXbqnxCIplBn9OEt1ROg7CU8yE0/Caqz0h0BzYk+YQN7cVmiPr\nAwFlxn8/LvnUTAbhkpurM4qQVWMoV+soVzmm2w0Fbe4e4UJWjeJoscqWbA4wanVoldqsF7j5pBJh\nlqM4TCs3D2Z2WBPeKkeR8+JH1I/5yiCA1sCeKgf2uCZf0uc+r8UgnPrRaSYcYF24WzopRwEahzON\nmml3kaDe9doZRVDjYeiGyYufg4oVAwFFQTza6cFMZsJpeM3VnlAQHVJ4YN8dRq2OcrU+9x7YUzPl\nrBZgEC653Dwnf4G2xy08AOKKTspRAPnvuP1kWvze91iOkmKHFMdpZQOJWAiKMvNj3+PFIiFEI0E7\nkUA0TPLNJ6RzPa2zDwXy2uyKThJkmWQEAUWRNknJIFxynQSAWU7mclUnjx0BBuFOyjX7rY/1Wo4S\n5+h6p2llo+POKEKGo+tpSHVyXeBTanflOygVDQQUZFIRaQ9mdvZcURKGYWDjxo3Yv38/gsEg7rzz\nTgSDQWzcuBGBQAArVqzA7bff3nGmxg9abdo6eKPzbtsV9o3QHHVnQHsQzn3ol53h6KMcBQAKPJzp\nCMuyoFVqmMjGu/rvMskIXpnOwTStWQ9OEfmROOvABJl3xLV5vrND42oUrx0owLQsBCSLD32VCf+v\n//ov1Ot1bN++HX/+53+OzZs345577sGGDRuwbds2WJaFRx991OtlOqqTTHir5olvdDfkNR2RcGDG\nqWjtmAl3zrSoCe+yR7iQSojR9cyEO6Gi11E3LaRi3WfCLYs922n4dJKFtXuF85rgCntaZgdNE+qm\nhYKET+V8FYSfeuqpqNfrsCwLhUIB4XAYzz//PC688EIAwKWXXoonn3zS41U6K1fUEY8GEQmfOLJe\nyLIm3FV5TZ+3MwrQ2odpjq7vmyhH6XZapqByYI+juu0RLohBSzm+J2jI5DUdkVAAscjs1+Zx1oS7\nqtNSUZkTlb4qR0kkEti/fz/WrFmD6elpfOtb38JTTz11zL8vFAoertB5jfY7c/+CRcNBJGMhKX/B\n/M60LBRKBpYvVuf92rEU6/+cIspRxnrtE86DmY4SPcK7rQkX5UQcXU/DJl/SkU5G5ix/jUcbh5OZ\nCXfHfL3ahdYB2SpOXeL6srriqyD8wQcfxPvf/37ccsstOHDgANavX49ardUOTtM0pNPpjl5rYmL+\noMprddNCsaTj9xYtmHe9J40n8NbbGhYuTPmmJt4Pe1Ao6aibFhZmEx2tNxELoViu+eJnE2Rca7FS\nQzQSxO8tHevp97lUb/Rqr1ly/nzHk32N+46UAQAnLUh2tdZlixufx2YgIP3PKPv6RoUf9sGyLBRK\nOk5fOjbveifG4pguVn3xcwl+WWu1+Tl/6ilZLMjMfl5lcukYAMCQ8HrgqyA8k8kgFGosOZ1Oo1ar\n4V3vehd2796NVatW4bHHHsPFF1/c0WtNTcmfMc9pOkwLiIcD8643HQ/jVb2ON948ikSXdZtemJhQ\nfbEHv3tbAwBEQ/PvAdC4I586WvLFzwbIuw+Hp8vIJCJ4++1iT/+90czcTh3RpPz52sm6B+1+dyAP\nAFBMs6u1BkwTAPDmgbzUP6Mf9mAU+GUfimUDtbqFRDQ473oziTDePFTEm7+bRnSOslJZ+GUPgMbn\nOwDoZR1T+uzzOULNAXr73sp58rPNFfj7Kgj/2Mc+hk2bNuG6666DYRi49dZb8e53vxu33XYbDMPA\n6aefjjVr1ni9TMfYdbEdHE7LipqnfNUXQbhfdFpzJoyrUbx1uATdqM9Zx0+zM00L+ZKO05dmen6N\nZHOqI1sUOqPnmnAxup69wmmIdHNdEB1SjhaqWDyecHVdoyZfMpCMhRAKzn28UeamCb4KwhOJBO67\n774T/n7r1q0erMZ9rc4o81/47AMghSqWnZRydV2jpNMWSMKYeLMXq1iU5QduLwolHZbVe49wAAgF\nA0hEQzyY6RBRE97zwUyOrqchYrdQ7eDAvt0hJV9hEO6wvKZ3dCOUSUWgKHKe1/JVd5RRY/cI7+Bw\nWmsoAE9hO6nVAqmz4KPVqUa+N7tfTHfxez8XNRHmwUyHiEx4ty0KxfuGBzNpmHSTCZe5M4ef1eom\nimWjoxuhUDCATDIi5QwPBuESaw2J6eCNrrbKUcg53WbC7UePbMnWM5E1HeuxPaGQSoRRLBuwmvWA\n1Dut3Ki3TMa7e3gaCgaQioc5NZOGSqddOQCOrneLSAx0WiqaVWM4WqjClOx6wCBcYq1MeAdv9DR7\nhbuh25rwbEre2jO/sDPhPQ7qEdR4BHXTQrk6+4Ed6oxdjtLDeZNMKsKacBoqnQzRE8Ylrkf2s17O\na9XqlnRPRxmES6y7TDh7VLvBnorW8d02P3D7JQ4k950J58Aex2hlA8GAMudgktlkkhGUqjUYtboL\nKyMavFwPBzN5bXaWHYR3Wyoq2T4wCJeYyB51cjAzHApCTYT5RndYvqQjGFCQiHb2GN6emsl96Fk3\nF7i5pDiwxzHFsoFkPNxTz3bxyJ4lKTQsuilHScRCiEWCLBV1WLfXiVZtvlzVAgzCJZYv6UhEQwiH\nOss+ZdUojuYrrIF1kDh93WnwkUqEEQwovBnqg7j57HVapsDR9c7RKrWup2UKrQ4pDMJpOOQ1HeF5\nRta3y6pRKQ8F+lk3JUEAM+HUg07b7wjjagx6zYRWYQ2sEyzLauxBB+VAQkBRkFWjmObBzJ5Na1UE\nA4qdye4VM+HOMC0LWsWwe693S3yG5VkXTkMi17wudJqcGU/HoFVqqOosyXJKocdSUdmeSDAIl1Td\nNFEsGR135QDa2hTycKYjKnodes3suixirBmE15vTAqk7uWLj5jPQQ+lDOzXe2DcO7OlPuVqDZaH3\nTHiK5Sg0PMTI+m6uC3YAyGy4Y8TnSabDJFnrgKxce8AgXFKFkgEL3dXFsh+pswql7g5+CONqFJbV\nOtRJnbMsC9NFvaubz9mITLjYR+qNPS2zx0m8rAmnYVKq1lCrW90lyCQthfAzUY6idjFIT4F8e8Ag\nXFJ2e8Ie7rbZptAZ3XZGEcbYprBnjQuc2Xc9OMCacKeIHuG914QzCKfh0WqN1/n7wU6QSVYK4Wd5\nTUc0EkQ03FldfigYQDoZkS5JySBcUt0eOgDYptBpvXbpyEr62MsPWh2BnMuEsya8P3YmvMtBPYKY\nfMqpmTQMuu1PDchbCuFneU3vuBRFaByQrUrVvIJBuKR6yYTzbttZvdwIAfKewvYDp3qEA0A8GkJA\nUVgT3id7UE+PmfBELIRgQLEnoRL5mZ2c6SIAzDJB5ijTslAoGT1dm42aKdU1gUG4pHoJAFtlELzb\ndkKhhw9bgEF4P6bFYRsHylECSqPDCstR+iMuWKkea8IDioJ0klMzaTjkeviMEgkyXhOcoZUNmJbV\ndRA+rsq3DwzCJdXNyHohHJKz5smvcr1mwsXNENsUds3uEe5AOQrQqAsv8mBmX7Ryf5lwoPFEL6/p\nUj0GJupFt5MagcZTucbAHibInNDLHgBANi3fEwkG4ZLqZmR9u3EJa578qpfaP6BxChvg1MxeiP7q\nTmTCgcZhQq1SY7vIPoiDmb32CQcaQbheM1Fhn2TyuV6vC+PpmFQZWD/reQ8kfErNIFxSoja2lze6\nUTP5CN4BeU2HglaXjU6FggGkE2Gp7rb9QjzqdaImHGgdzhSBJHVP1IT32h0FYK9wGh7djKxvl1Wj\nHNjjkJ6fUkt4QJZBuKTypcaEulCwuy1qtSlkANivfMlAKhFGIND90JisGsM0n0h0rdebz9mwTWH/\nig6Uo6TF6HqWaJHP5Us6QkEF8Wh3T4bGObDHMfa0zG7Pa0nYvIJBuKRyxWpPj+TtqZl8o/ctr3U3\nFa1dVo1Cr5nQKszAdiOn6UjFw13ffM6m1aaQGdheaRUD4VCg4368M2GvcBoW4rrQ6ch6gR1SnNNz\n57LmEzmWo9CcavVG8NbtoQOgdfpXpjs9PzJqdZSrta7vtAXWhfdmuqh3dRh5Phxd379i2eirHhxg\nEE7DwbIs5DSjp+uC3SGF1+a+9TrDIxwKQpWsVJRBuIQKpd4mNQLtd9vMhPdDTMvsdXy6XRbEx+8d\n043GjY9TnVGAttH1DMJ7ppVrfdWDA63PMg7sIT8rNyf69nJd4FNq5+R7bB8MiIE9FWlKRRmES0gM\ntcgkey9Hkelxix+Jx11qj5nwLEfXd83JHuGCXRPOqZk9qZsmStUakj32CBfsg5nsFU4+1msGFmic\nEwJ4TXBCXtMRCgYQj3ZfIjeuxqAbjc81GTAIl1Cr/U73F76xVBQKWI7Sr372AGj1I+UHbufyPUyJ\nnQ9H1/en1DzT0G8mnOUoNAx6bY0HtB3M5LW5b4WSjkwy3HVdPtDWK1ySfWAQLqHWyPruM4KhYACZ\nVIRDAfrUz4ct0J4J5z50yuke4UAreCyWGfz1otUZpb+a8FgkhGg4yNH15Gv5PkpF49EQ4tEgrwl9\nsuvye7w2j0vWppBBuIR6PfkrZNXGUABTkponPxJ70HdNeIHBX6ec7hEOtA5msia8N6K7Tz/tCYVM\nMsJMOPlarz3ChXE1Jk0G1q/K1TpqdbP3UlHJutQwCJdQrs/H8uPpKOqmxTrYPoiDmb2+0cWYYpaj\ndM7OhDtYjhKNBBEJBViO0iORCU/1WRMOAOlUBAXNgGkyOUD+lOvjQCDQCABL1Roquhz1yH7kRJIS\nkKdLDYNwCfX7S9ZqUyjH4xY/6jcTDrROYVNnxM3nmIPlKECjLpwtCnujOTCoR8gkIzAti3tBvtVv\nmSIbJ/Sv76cRku0Bg3AJ5YrNcek99AkH2h63SHKn50fijd5rJhxojSnWDY4p7sS06ArkYDkK0KgL\n51Oh3thBuAOZcB7OJL+zA8AeP6OynOPRt37aEwLynddiEC6hfElHso+pga07PTl+yfwor+lIREMI\nh3p/i9hvdvYK79hYKoJYpL9DgMdT42FUjTpvhnpQtLuj9L8nrSCc7wfyp5zWGFmf6HJkvcDR9f3r\nt1IgEg4iFZdnYI+zVztyRK6o2210eiEmc8nyS+ZH+ZIOtc/a5PapmYuyCSeWNdT+7I/e7UqgnEq0\npmaO9zF6fRQ5Wo7SvCllr3Dyq7ymQ010P7JesFvXMhPes1YmvPfPpKwaxaGjZViW1fNeOoWZcMkY\ntUYT+V4ftQDt/Uh5t92LummiWDKQ6eNNDrS3QuIHbidS8bB9A+n06wIcXd8LrdI8mOlAEM6pmeRn\nlmUhX9J7zsACbee1eE3oWb91+UAjCK8adZSr3j8dZRAumX5rzsR/qyh8o/eqWDJgob83OdDKhDMI\n95bK0fU9K7ImnAgAUNHrMGq9jawXsixH6Vs/U0sFkeyRoWSXQbhk7HqnPjLhwUAAY6koH3n1yIk3\nOdDKejAI95YYXc82hd3TyjVEw8G+zkYIDMLJz/o9EAiIgT0hXhP6UCgZCChKXyVyWYkSZAzCJdNv\nj3BhPB3FdLHKnrw9EJ00+vmwBZgJl4WoCS+UGPx1q1g2+p6WKYib2hwPKpMPOZecibI7Sh/ymg41\nGUagj1rucYkG9jAIl0y/J3+FrBpD3bSYdeqBEzVnQKMMIhhQ2B3FY6wJ751WMRwZ1AMAoWAAqXiY\nnwswEtwAABzfSURBVEnkS/32pxay6SjK1RrKVQ7s6UWupPedIMtKdG6OQbhkcg690XkosHdOZTwC\nitIoC+IeeEqUo7AmvDu1uomKXnekM4qQSUZ4MJN8yclMOMBrcy+qRh1Vve5AklKePfBdi8L7778f\nP//5z6HrOtatW4cLL7wQGzduRCAQwIoVK3D77bd73nKmH/miQ2/0dGtq5mknp/te1yhx6mkE0Hiz\n//Z3eZimhUDAv7+XfpZKsCa8F1qzR7iTQXg6GcH+tzUYNdOROnOiQXHqCWn7WaGTFyb7XtcoKThQ\nlw/IdV7LV5+Cu3btwq9+9Sts374d3/3ud3HgwAHcc8892LBhA7Zt2wbLsvDoo496vcy+5BwYlw7I\nVfPkNwUH+pAKWTUK02JZkJdYjtIb8f8rFXMuVyO6PjEbTn7jXKmoPKUQfuNUfBSNBJGMyXFA1ldB\n+BNPPIF3vOMd+MxnPoNPfepT+OAHP4jnn38eF154IQDg0ksvxZNPPunxKvuTL1ahKP2NSwdaQwH4\nRu9ezuFMOABMsy7cM6FgAPFoiKPru+TkoB6BHVLIr5yqCW+1x+M1oVtOPY0AGtdmGVpF+qoc5ciR\nI3jrrbdw//33Y9++ffjUpz4Fy2p1/0gkEigUCh6usH+5kgE1Hu67dEGmxy1+k9d0RMIBR8anj6XE\nzVAVpy7p++WoR2o8jEKZgV83NAd7hAuZZHNqJkfXk8/kNR3BgIJEn0+GxtPsFd4rEYSrjjyljuHN\nKQ3lag3xqHehsK+C8Gw2i9NPPx2hUAinnnoqotEoDh06ZP97TdOQTndW/zwxobq1zL4USjpOyib6\nXt/4ghSCAQWFsiHtzyrruorlGrJqzJH1LV86BgCoQd6fV9Z1OSmbjmHv/mksXJiS8syIjHsQePUI\nAGDJSapj61u2pPH5bCoB6X5m2dYzqmTdh2KlhkwqikUn9XfGKpWON16vWpf2Z5V1XXU0PrtPOXms\n7zWefFIKv/7tYSjhkKc/r6+C8PPPPx///M//jI9//OM4ePAgKpUK3vve92L37t1YtWoVHnvsMVx8\n8cUdvdbUlHwZc92oo1SpIRkNOrK+sVQUB4+UpPxZJyZUKddlWRZyxSomFzuzvoBlAgDeeCsn5c8r\n6z44LRoOoFa3sG//tKdZj5nIugdvHSoCAMxazbH1KWbj/bD/QF6qn1nWPRg1su6DZVk4mq9gyYKk\nI+tLREM4+LYm5c8q6x4AwFtTjc8ky4HPpHi4UY299/UjiLlcmD1XkC/X1WgeH/zgB/HUU0/hT/7k\nT2CaJm6//XYsXboUt912GwzDwOmnn441a9Z4vcyeteqdoo68XjYdxW/351E3TQQDvir/94xWqaFu\nWn2fvhbEAdlplgV5qr1NoWxBuKy0SvNgJmvCacRV9Dr0mulILTLQuDZzYE/3nK4JB7wvC/Ld1ejz\nn//8CX+3detWD1biPKdO/grjahSvWBZyRd0+DEJzc/JNDnBqpiza2xSeNBb3eDX+UHShJlyckWDP\ndvKTVmcUZ94L42oM+yWoR/YbJ2vC7XNzHt8Mcfcl4lSPcMHuFV6oMgjvkNNBeCgYgJoIMwj3mOg2\nVOThzI7ZLQodzISn4mFc9aEzcOoSOWtOiWbi9HWhfVgMg/DO5Us6UvGwI0/2s5K0cWaNgkSczoSz\nH2n37IyHA3faQlaN4mixekwnHxosEUiyTWHnRHeUfrtBHG/NRafgHadkHX1NIjfZ7QmdKlNkh5Se\n5DXdlRshLzEIl4jjmXC2Keya0xkPAMimotANE6VqzbHXpO6oDMK7VizXEI8GEQryMkGjzbVMOOvC\nO1arm9AqNccSZPFoCPFoCEc9vhHip6tEHK8JT7d6VFNn8g7vASDPHfcos2vCWYvcMa1iOFoPTuRX\nOYeD8PZSUeqMSKA4mSAbV6OeX5cZhEvE6bvt1hudj7w65UomnB1SPNcaXc+a8E5pZcPRaZlEfuX4\ntdlOzPDa3Cl7DxwqCQIa12atUkNVrzv2mt1iEC6RnKYjoCiOHYRSE2EEA4rnd3p+ktcad9uqg2/0\nMUkOgIwysZ8sR+mMbjRasqUcrgcn8qOcQyPrhdZ5LV4TOuX00whAjjaFDMIlktd0qIn+R9YLAUVB\nVo3yYGYX8qXGaOKkg8GHqM1nJtw7iVgIisJylE5plcb5BWbCiRrXhYCiOPZ+iEVCSERDTJB1wc2n\n1F7uA4NwieQ03dFaZKBRkpIr6qjVTUdfd1iJ09dOjjZnJtx74gkTM+GdEZ1RGIQTNRNkyTACDl4X\nxtNRlop2oVByPggXJbsMwglVvY6qXnf0Fwxo1J5ZAKaLDADnY1lWIwh3sBQFaHRHAbgHXkvFw8yE\nd8juEc6DmUTIa4Zj7QmFrBpDuVpHmV2zOuJ0SRDQqs33MkHGIFwSTndGEbJp7x+3+EW1WQerOjQV\nTYhHg4hGgtwDj6nxMLSyAdNkv/b5iJH1zITTqKvoNVQNFxJkae8DQD8RncucmJYpsByFbG7UOwGt\nemQeAJmf0wMZBEVRsHg8wZIgj6USEVhoBZg0u9a0TB7MpNHm1rW51SucJSmdyLuQCc/a8ZF3e8BP\nWEnkiu5kwjmZq3OiM4rTH7YA8Bf/93tQZwbWU602hYaj3W+GkX0wk+UoNOLcui7YCTJmwjuS13TE\no0GEQ0HHXlOGp9QMwiWRd+HQAQCcfnIGyyaS+L2TUo6+7jASNWduBGjiAAh5RzzGLJQMLFng8WIk\n18qEMwin0eZGLTIALBqPA2iUQdL88iXD8fNaiqLg1MWqpyWKDMIlkWse2nP6jZ5ORvA3n7jI0dcc\nVgWX6vJJDhNjjYuegw0Ohha7oxA1uJUgO2NpBhuuPgcrlo45+rrDyDQtFEo6FmUzjr/2rdecyyCc\nGnd5gDulENQZt2r/SA6rz1qM5YtVPhXqADPhRA1uXRcURcFZp/KRXCeKZQOW5ey0TCEYCCDo4elI\nBuGSEJlwBoDeybmU8SA5hIIBnLJI9XoZvqBValAAJKK8RNBoc+vAPnVumBNk7I4iCXtSIzNPnrHf\n6A62QCLyI61sIBELOTa9l8ivhjkA9IthTpAxCJdErtgcWc+CVc8UNB0KgBSDcBpxxYrBzihEaBzM\nVBSWZnmpMMQ3QgzCJZEv6cgko14vY6TlSgZSiTCCAb4taHRZlgWtbPCpHBGaI+sTET4V8lDrKTWD\ncHJBRa9BN8yhvMvzk7ymcw9o5OmGiVrdQpKDeoiQK+nsmOWxVjnK8CUGGIRLwK0+pNQ5o1ZHuVob\nyjttom6wMwpRQ9Woo6o7P7KeujPMdfkMwiUwzL9gflFgi0giAIBWafYIZ004jbhhLoPwE/v6PIT7\nwCBcAm6NrKfO5fhhSwSAmXAiIc+n1FLIaToioQBiEedG1suCQbgE3JrIRZ1rPY1g4EGjTavUAADJ\nGGvCabTxKbUcxHktZQi7xzEIlwAz4d7jY0eiBmbCiRpyTM54zrIaI+vVIb02MwiXADPh3uMeEDVo\nzSCcLQpp1DET7r1StYZa3RraJCWDcAnYmfDUcP6S+UFe48FMIoCZcCJBtMbjDA/vDHupKINwCeRL\nOkJBBYkoazC9ki+xJIgIaO+Ows8jGm3MhHtv2PeAQbgEGiPrh/PQgV+IN7rKkfU04rRy42AmM+E0\n6vLNkfUq3wueyQ9xe0KAQbjnLMtqjqwfzl8wv8iXdMSjIYRDw9cCiagbxYoBRQFifDJHIy6v6VDj\nYY6s9xAz4eSqcrUOo8aR9V7jyHqiBq1sIBkLI8AnczTi8iVeF7w27DM8GIR7jLXI3qubJoolAxmW\nohA1gnA+fqcRpxt1lKscWe+1wpB3LmMQ7rFcsQpgeH/B/KBYMmABULkHNOIsy4JWqSEVZykKjbZh\nL4Pwi2HfBwbhHhOHDpgJ905ZrwMAxlJsQ0WjraLXUTctJGPMhNNoE+0Jh7UMwi/ymo5gQBnabk3D\n+VP5yLDf5fnBSdk4rvlfK3DuioVeL4XIU+wRTtQgrs2c3+GtnKZDTYSHtnscg3CP5bRGOQoz4d4J\nKAouv/D3vF4GkedaPcIZhNNoyw/5gUC/yJd0LB5PeL0M1/iyHOXw4cP4wAc+gFdffRWvv/46rr32\nWlx33XW44447YFmW18vrSigYQDCg4KTs8P6SEZE/tDLhzM/QaLMz4UyQeaaq16Ebw909zndBuGEY\n+PKXv4x4PA7LsnD33Xdjw4YN2LZtGyzLwqOPPur1Ervyf128HF/99GpkVdYjE5G3xKAedkehUWcP\niRniAFB2oi4/M8RPI3wXhH/1q1/Ftddei4mJCQDACy+8gAsvvBAAcOmll+LJJ5/0cnldCwQUBuBE\nJIV4c0DPkgVJj1dC5K3zVizExe9ehJMX8r3gFVEFftIQl6P46pnjQw89hPHxcbzvfe/D/fffD8uy\njik/SSQSKBQKHq6QiMi/zj59Af7u5vfzYCaNvHctH8e7lo97vYyRNjEWx1duvAgLM3Gvl+Ia3wXh\niqLgySefxEsvvYSNGzfi6NGj9r/XNA3pdLqj15qYUN1aJnWIeyAH7oP3ZNqDCa8X4BGZ9mCUcR+8\nJ9MeyLQWN/gqCP/ud79r//MNN9yAv/7rv8ZXv/pV7N69G6tWrcJjjz2Giy++2MMVEhERERHNz1dB\n+PEURcHGjRtx2223wTAMnH766VizZo3XyyIiIiIimpNi+a2nHxERERGRz/muOwoRERERkd8xCCci\nIiIiGrChD8INw/B6CSOPe+A97oEcuA/e4x7IgfvgPe6B94Y2CP/xj3+MTZs24a233vJ6KSOLe+A9\n7oEcuA/e4x7IgfvgPe6BPHzdHWUmR44cwS233IIlS5bgM5/5DE455RSvlzRyuAfe4x7IgfvgPe6B\nHLgP3uMeyCd4xx133OH1Ipy0d+9eTE1N4YYbbsBjjz2Gn//85wiHw1i4cCGCwaDXyxsJ3APvcQ/k\nwH3wHvdADtwH73EP5DMUQfgvfvELPPXUU3jnO98JRVHwH//xH9i5cycWL16MdDqNJ598ElNTU3jP\ne97j9VKHFvfAe9wDOXAfvMc9kAP3wXvcA7kNRTnKT3/6U0xNTeHSSy/FxMQELrjgAhQKBdx4442w\nLAs//elP8Zvf/AbVahXRaNTr5Q4l7oH3uAdy4D54j3sgB+6D97gHcvPlwcx6vW7/83/+539i7969\nWLJkCbZu3QoAuOqqq3D99dejWq1CURQcPXoU8Xicv2AO4h54j3sgB+6D97gHcuA+eI974C++Kkcp\nl8u46667sGfPHhw+fBj/f3t3HtPk/Qdw/N2WI23xAFpBDg9EDmesDp3xDFvMnG7RRI1ZFrPL6UyM\nM844M5eIssxtXmHLLhkmmOmWTWc2NUsW52TBKxDEe4sNCIoKKCoqKtD2+/uDX5+Iuzhangf2ef1p\nS/Kt7+fp8+3T7/M0JSUFu91OXFwcEyZM4MCBAyQkJBAbG8uhQ4dYuXIlbreb4uJipk+fTmJiot4v\noduTBvqTBsYgHfQnDYxBOuhPGnRP3WYSfv/+fXJycrDZbEyZMoX169cTHx9PamoqycnJhIeHc+PG\nDYqKipg8eTKDBw9m6NChhISEsGzZMpKSkvR+Cd2eNNCfNDAG6aA/aWAM0kF/0qD7MvwkvLy8nMjI\nSAC+/PJLFi9eTGpqKlarlSNHjjBgwACioqIICwvDbrdTUFCA1+slJSWF/v37M2zYMEJDQ3V+Fd2b\nNNCfNDAG6aA/aWAM0kF/0qD7M+wkvKqqig0bNrBz504qKysxm81ERkZy/vx5MjIySEtL4+DBg1gs\nFtLS0gCw2WxYrVYGDhyI0+nU+RV0f9JAf9LAGKSD/qSBMUgH/UmDnsOwF2Zu376dpKQkcnNzSUhI\noKSkhNjYWGpqajh16hQAkydP5vvvv9f+xmq1MmXKFNLT0/Uado8iDfQnDYxBOuhPGhiDdNCfNOg5\nDDkJv3XrFmfOnGHmzJn07t2ba9euYbFYGD9+PAkJCWzduhWAO3fuMHr0aDwej84j7nmkgf6kgTFI\nB/1JA2OQDvqTBj2L4Zaj+Hw+rFYrw4cPJyEhAYDCwkJcLhcpKSkMGzaMEydOsGvXLkpLS1m4cCEO\nh0PnUXd/t2/f1m5RJA304fF4MJtbPhd7vV5sNps00IHsC/r7448/iIyMxGw2SwMd1dTUEBERAci+\noJdTp05x/fp1+vXrJw16IqWzzZs3q0OHDimllPJ4PMrn87V6vLa2Vs2bN081Njaq6upqVVRUpP27\n6Lyamhr19ttvqzfffFPt2rVLNTU1/ek50iC4ampq1MqVK9WmTZvUr7/+qpRSf+ogDbrGjh07VFZW\nlrp8+bJSSimv19vqcekQXNXV1SorK0s9//zz6uLFi0opaaCHmpoa9dZbb6lFixapgoICpZSSY3MX\nq62tVRs2bFCpqalq69atSqmWOdKjz5EG3Zvuy1EKCwv57LPPALBYLJhMplaPV1RUEBERwY8//sjy\n5cu5cuUKgFxYEAA3btzggw8+YPjw4bzyyit89dVXVFZWAqCU0p4nDYKnvr6e9evXk56ezpgxY1ix\nYgUej4fQ0FCUUloHaRBczc3NQMuZv4qKCoqLi1FKad9MSIfgKysrY8WKFYwaNYpvvvmGfv36AWgN\nfD4fIA2Crbm5mby8PMaPH8/q1atpamoC0I7N0iH49u3bx8KFC3E6naxYsUK7uNK/L/hJg+6vy3+2\nvqysjCFDhgBQVFTEiBEjOHv2LNu3b2fevHl4vV4sFov2/MLCQg4dOsTQoUPZvHmz9sYsOs7foKmp\nibKyMjZu3IjZbCYlJYWzZ8+SnJzc6sOQNAg8f4Pm5mZOnz7Nxo0bAXC5XJw7d47HHntM9oMu4O/g\nv01XQ0MDqamp3Lhxg7KyMhITEwkPD9f2B+kQeP4G/omDzWZj0aJFhISE0L9/f15++WXi4+O1CYg0\nCA5/B4/HQ0lJCRMmTCA7O5vevXtz/PhxXn31VZxOp3QIovLycpKSkkhOTiY3Nxen08nSpUv/9v9W\nGnR/JvXwKc8g+v3338nLy+PatWuMGjWKqVOnEh0dTXh4ONXV1SxdupTdu3djt9u1M4Bms5mSkhI8\nHg9jx47timH2aI82yMzMxOFwkJiYiNfrZfny5SxZskT7kKSUwmQySYMAerjByJEjmT59OtHR0Tid\nTnJycjhw4ADJycmMGzeOmTNnamuTpUFgPdzh8ccfJzMzk5EjR5Kfn8+cOXN49913cbvdLFiwgGnT\npuHxeAgJCZEOAfRwA5fLxQsvvMDPP//M9u3b2bJlC3FxcWz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Lz7dLGv3y6dfx2tsMl0aBY0RP7WB1jiSZSBPdSE6R8Xd/cQKOPnwKnt64HT9lOUhhuM+j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\nrFmzsGDBgjiHRDJKaqQExezq31IzB1mXc+gGujuiiYKwtb0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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1043,7 +1162,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 32, "metadata": { "collapsed": true }, @@ -1055,7 +1174,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 33, "metadata": { "collapsed": false }, @@ -1072,7 +1191,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 34, "metadata": { "collapsed": false }, @@ -1084,7 +1203,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 35, "metadata": { "collapsed": false }, @@ -1092,18 +1211,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 26, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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bTjvttF58eyJHice4hXIV5UoNUdaF94TobTw8Q1CStNsU6gASJ/w9Oat5UI+Q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\nybJly/QPSZqmYTKZpEEAPdpg9OjRzJw5k+joaJxOJ9nZ2Rw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YcSAicobKgTaloauTqrh2uJDvDY2q93Bn0C/yQ0sLVM+N1R8j2b1DB4PoGjRT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\nipQPrgAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1131,7 +1250,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 36, "metadata": { "collapsed": false }, @@ -1149,7 +1268,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 37, "metadata": { "collapsed": false }, @@ -1174,7 +1293,7 @@ "Name: ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_, dtype: float64" ] }, - "execution_count": 28, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1186,7 +1305,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 38, "metadata": { "collapsed": false }, @@ -1194,18 +1313,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 29, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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rr8fZZ5+N9773vfjyl7/cdSnK7t278d73vhe2bQMAPvKRj2Dnzp245ZZbIITA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\naTdmbty4EdOmTcPatWvR0NCAvXv3oq6uDh0dHXjnnXcAAAsXLsQf/vC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+5ibVRJobRueZ8jLTK8H8OmAT3SQvDzTd5Mhvz6l73xY07n0jIhoWlqK3FOl1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\naTZqwR3E0HhttCIiYiWWaaKbm5txOBzef7fb7Xg8HhMrEhn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Dc3MzUVFRXHfddRQXF/PZ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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, diff --git a/pvlib/atmosphere.py b/pvlib/atmosphere.py index 2ae2ccb20b..19f358c03e 100644 --- a/pvlib/atmosphere.py +++ b/pvlib/atmosphere.py @@ -295,7 +295,8 @@ def cloudy_day_check(zenith, cloud_prct, pressure=101325.): Environmental Biophysics. 2nd Ed. New York: Springer. ''' - sb = atmosphere.liujordan_dni(zenith, cloud_prct, pressure) * np.cos(np.radians(zenith)) + sb = atmosphere.liujordan_dni(zenith, cloud_prct, pressure) * \ + np.cos(np.radians(zenith)) return sb < 10.0 diff --git a/pvlib/forecast.py b/pvlib/forecast.py index db7dc840a2..0a7d5be991 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -5,8 +5,11 @@ from netCDF4 import num2date import pandas as pd +import pytz import numpy as np +from pvlib import * +from pvlib.location import Location from siphon.catalog import TDSCatalog from siphon.ncss import NCSS @@ -94,16 +97,16 @@ class ForecastModel(object): 'high_clouds', 'dni', 'dhi', - 'ghi',]) + 'ghi', ]) def __init__(self, model_type, model_name, set_type): self.model_name = model_name self.model_type = model_type self.set_type = set_type self.catalog = TDSCatalog(self.catalog_url) - self.fm_models = TDSCatalog(self.catalog.catalog_refs[self.model_type].href) + self.fm_models = TDSCatalog(self.catalog.catalog_refs[model_type].href) self.fm_models_list = sorted(list(self.fm_models.catalog_refs.keys())) - self.model = TDSCatalog(self.fm_models.catalog_refs[self.model_name].href) + self.model = TDSCatalog(self.fm_models.catalog_refs[model_name].href) self.datasets_list = list(self.model.datasets.keys()) self.set_dataset() @@ -131,10 +134,13 @@ def set_query_latlon(self): Sets the NCSS query location latitude and longitude. ''' - if len(self.longitude) == 2: - self.query.lonlat_box(self.latitude[0], self.latitude[1], self.longitude[0], self.longitude[1]) # west, east, south, north + if self.longitude is list: + # west, east, south, north + self.query.lonlat_box(self.latitude[0], self.latitude[1], + self.longitude[0], self.longitude[1]) + self.lbox = True - elif len(self.longitude) == 1: + else: self.query.lonlat_point(self.longitude, self.latitude) self.lbox = False @@ -148,9 +154,11 @@ def set_query_time(self): if len(self.time) == 1: self.query.time(pd.to_datetime(self.time)[0]) else: - self.query.time_range(pd.to_datetime(self.time)[0], pd.to_datetime(self.time)[-1]) + self.query.time_range(pd.to_datetime(self.time)[0], + pd.to_datetime(self.time)[-1]) - def get_query_data(self, latitude, longitude, time, vert_level=None, variables=None): + def get_query_data(self, latitude, longitude, time, vert_level=None, + variables=None): ''' Submits a query to the UNIDATA servers using siphon NCSS and converts the netcdf data to a pandas DataFrame. @@ -158,7 +166,7 @@ def get_query_data(self, latitude, longitude, time, vert_level=None, variables=N Parameters ---------- - labels: dictionary + variables: dictionary Variables and common names being queried. latlon: list Latitude and longitude of query location. @@ -171,32 +179,42 @@ def get_query_data(self, latitude, longitude, time, vert_level=None, variables=N ------- pd.DataFrame ''' - if vert_level != None: + if vert_level is not None: self.vert_level = vert_level - if labels != None: + if variables is not None: self.variables = variables self.modelvariables = list(self.variables.keys()) - self.queryvariables = [self.variables[key] for key in self.modelvariables] + self.queryvariables = [self.variables[key] for key in \ + self.modelvariables] self.columns = self.modelvariables + self.dataframe_variables = self.modelvariables self.latitude = latitude self.longitude = longitude self.set_query_latlon() self.time = time self.set_query_time() + # print(pd.to_datetime(self.time)[0], pd.to_datetime(self.time)[-1]) self.query.vertical_level(self.vert_level) self.query.variables(*self.queryvariables) self.query.accept(self.data_format) netcdf_data = self.ncss.get_data(self.query) + + # print(netcdf_data.variables['Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'][:]) + + # self.netTime = num2date(netcdf_data.variables['time'][:].squeeze(), + # netcdf_data.variables['time'].units) + self.set_time(netcdf_data.variables['time'], self.time.tzinfo) + self.data = self.netcdf2pandas(netcdf_data) + self.time = self.time self.set_variable_units(netcdf_data) self.set_variable_stdnames(netcdf_data) self.convert_temperature(netcdf_data) self.calc_wind(netcdf_data) - - self.calc_radiation() + self.calc_radiation(netcdf_data) netcdf_data.close() @@ -221,8 +239,10 @@ def netcdf2pandas(self, data): ''' one-dimensional data ''' data_dict = {} for var in self.dataframe_variables: - data_dict[var] = pd.Series(data[self.variables[var]][:].squeeze(), index=self.time) - return pd.DataFrame(data_dict, columns=self.columns, index=self.time) + data_dict[var] = pd.Series( + data[self.variables[var]][:].squeeze(), index=self.time) + df = pd.DataFrame(data_dict, columns=self.columns, index=self.time) + return df else: return pd.DataFrame(columns=self.columns, index=self.time) @@ -241,7 +261,17 @@ def set_time(self, times, tzinfo): ------- pandas.DatetimeIndex ''' - self.time = pd.DatetimeIndex(pd.Series(num2date(times[:].squeeze(), times.units)), tz=tzinfo) + self.time = pd.DatetimeIndex(pd.Series(num2date(times[:].squeeze(), + times.units))) + # print(type(tzinfo)) + # self.time = tzinfo.localize(self.time) + # self.time = self.time.astimezone(pytz.timezone(tzinfo)) + + self.time = self.time.tz_localize(tzinfo) # correct, but doesn't plot well + + # self.time = self.time.tz_localize('UTC') + # self.time = self.time.tz_convert(tzinfo) + # self.time = self.time.tz_localize(None) # shows correct time but no timezone def set_variable_units(self, data): ''' @@ -255,7 +285,7 @@ def set_variable_units(self, data): ''' self.var_units = {} for var in self.variables: - self.var_units[var] = data[self.data_labels[var]].units + self.var_units[var] = data[self.variables[var]].units def set_variable_stdnames(self, data): ''' @@ -270,11 +300,13 @@ def set_variable_stdnames(self, data): self.var_stdnames = {} for var in self.variables: try: - self.var_stdnames[var] = data[self.data_labels[var]].standard_name + self.var_stdnames[var] = \ + data[self.variables[var]].standard_name except AttributeError: self.var_stdnames[var] = var - def calc_radiation(self, data, cloud_type='total_clouds', rad_funcs=None, args=None, keys=None): + def calc_radiation(self, data, cloud_type='total_clouds', rad_funcs=None, + args=None, keys=None): ''' Determines shortwave radiation values if they are missing from the model data. @@ -286,40 +318,49 @@ def calc_radiation(self, data, cloud_type='total_clouds', rad_funcs=None, args=N ''' self.rad_type = {} - if not self.lbox: + if not self.lbox and cloud_type in self.data: cloud_prct = self.data[cloud_type] - self.location = pvlib.location.Location(self.latitude, self.longitude, tz=self.time.tzinfo) - solpos = pvlib.solarposition.get_solarposition(self.time, self.location) + self.location = Location(self.latitude, self.longitude)#, + #tz=self.time.tzinfo) + print(self.time) + solpos = solarposition.get_solarposition(self.time, self.location) self.zenith = np.array(solpos.zenith) - if rad_funcs == None: + if rad_funcs is None: for rad in ['dni','dhi','ghi']: if rad in self.modelvariables: - self.data[var] = pd.Series(data[self.variables[var]][:].squeeze(), index=self.time) + self.data[rad] = pd.Series( + data[self.variables[rad]][:].squeeze(), + index=self.time) self.rad_type[rad] = 'forecast' else: self.rad_type[rad] = 'liujordan' if rad == 'dni': - self.data['dni'] = atmosphere.liujordan_dni(self.zenith, cloud_prct) + self.data['dni'] = \ + irradiance.liujordan_dni(self.zenith, + cloud_prct) elif rad == 'dhi': - self.data['dhi'] = atmosphere.liujordan_dhi(self.zenith, cloud_prct) + self.data['dhi'] = \ + irradiance.liujordan_dhi(self.zenith, + cloud_prct) elif rad == 'ghi': - self.data['ghi'] = atmosphere.liujordan_ghi(self.zenith, cloud_prct) - + self.data['ghi'] = \ + irradiance.liujordan_ghi(self.zenith, + cloud_prct) elif rad_funcs == 'linear': - cs = pvlib.clearsky.ineichen(self.data.index, self.location),\ - # solarposition_method='nrel_numpy' - cs_scaled = cs.mul((100-self.data['total_clouds']) / 100, axis=0) + cs = clearsky.ineichen(self.data.index, self.location) + cs_scaled = cs.mul((100. - self.data['total_clouds']) / 100., + axis=0) self.data['dni'] = cs self.data['ghi'] = cs_scaled self.rad_type['dni'] = 'linear' - self.rad_type['dhi'] = 'forecast' self.rad_type['ghi'] = 'linear' - + self.rad_type['dhi'] = 'forecast' else: length = len(rad_funcs) if any(len(lst) != length for lst in [args, keys]): import warnings - warnings.warn('Radiation functions, arguments, and keys should be of equal length') + warnings.warn('Radiation functions, arguments, and keys \ + should be of equal length') return for i in range(len(rad_funcs)): @@ -334,27 +375,30 @@ def convert_temperature(self, data): Converts Kelvin to celsius. ''' - if 'Temperature_isobaric' in self.queryvariables: - self.data['temperature'] = data['Temperature_isobaric'] - for atemp in ['temperature']: if atemp in self.data.columns: self.data[atemp] -= 273.15 self.var_units[atemp] = 'C' def calc_wind(self, data): + ''' + Calculates wind speed quantity. + + ''' if not self.lbox: if 'u-component_of_wind_isobaric' in self.queryvariables and \ 'v-component_of_wind_isobaric' in self.queryvariables: - wind_data = np.sqrt(data['u-component_of_wind_isobaric'][:].squeeze()**2 + - data['v-component_of_wind_isobaric'][:].squeeze()**2) + wind_data = np.sqrt(\ + data['u-component_of_wind_isobaric'][:].squeeze()**2 + + data['v-component_of_wind_isobaric'][:].squeeze()**2) self.wind_type = 'component' - else: - wind_data = [data['Wind_speed_gust_surface'][:].squeeze()] + elif 'Wind_speed_gust_surface' in self.queryvariables: + wind_data = 0.25 * data['Wind_speed_gust_surface'][:].squeeze() self.wind_type = 'gust' - self.data['wind_speed'] = pd.Series(windData, index=self.time) - self.var_units['wind_speed'] = 'm/s' + if 'wind_speed' in self.data: + self.data['wind_speed'] = pd.Series(wind_data, index=self.time) + self.var_units['wind_speed'] = 'm/s' class GFS(ForecastModel): @@ -388,29 +432,37 @@ def __init__(self, res='half', set_type='best'): elif res == 'quarter': model = 'GFS Quarter Degree Forecast' self.variables = { - # 'temperature':'Temperature', - 'temperature_iso':'Temperature_isobaric', + 'temperature':'Temperature_surface', 'wind_speed_gust':'Wind_speed_gust_surface', 'wind_speed_u':'u-component_of_wind_isobaric', 'wind_speed_v':'v-component_of_wind_isobaric', - 'pressure':'Pressure_surface', - 'total_clouds':'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'low_clouds':'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'mid_clouds':'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', - 'high_clouds':'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'boundary_clouds':'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + # 'pressure':'Pressure_surface', + 'total_clouds': + 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'low_clouds': + 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'mid_clouds': + 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', + 'high_clouds': + 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'boundary_clouds': + 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', 'convect_clouds':'Total_cloud_cover_convective_cloud', - 'ghi':'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',} + 'ghi': + 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', } self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in self.modelvariables] - self.dataframe_variables = ['pressure', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', - 'boundary_clouds', - 'convect_clouds', - 'ghi',] + self.queryvariables = [self.variables[key] for key in \ + self.modelvariables] + self.dataframe_variables = [ + 'temperature', + # 'pressure', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'boundary_clouds', + 'convect_clouds', + 'ghi', ] super(GFS, self).__init__(model_type, model, set_type) # def map_data(self): @@ -444,22 +496,32 @@ class HRRR_ESRL(ForecastModel): def __init__(self, set_type='best'): import warnings - warnings.warn('HRRR_ESRL is an experimental model and is not always available.') + warnings.warn('HRRR_ESRL is an experimental model and is not always \ + available.') model_type = 'Forecast Model Data' model = 'GSD HRRR CONUS 3km surface' description = '' - variables = ['Temperature_surface', - 'Wind_speed_gust_surface', - 'Pressure_surface', - 'Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_UnknownLevelType-214', - 'Medium_cloud_cover_UnknownLevelType-224', - 'High_cloud_cover_UnknownLevelType-234', - 'Downward_short-wave_radiation_flux_surface',] - cols = super(HRRR_ESRL, self).columns - idx = [0,3,4,5,6,7,8,11] - data_labels = dict(zip(cols[idx],variables)) - super(HRRR_ESRL, self).__init__(model_type, model, data_labels, set_type) + self.variables = { + 'temperature':'Temperature_surface', + 'wind_speed_gust':'Wind_speed_gust_surface', + # 'pressure':'Pressure_surface', + 'total_clouds':'Total_cloud_cover_entire_atmosphere', + 'low_clouds':'Low_cloud_cover_UnknownLevelType-214', + 'mid_clouds':'Medium_cloud_cover_UnknownLevelType-224', + 'high_clouds':'High_cloud_cover_UnknownLevelType-234', + 'ghi':'Downward_short-wave_radiation_flux_surface', } + self.modelvariables = self.variables.keys() + self.queryvariables = [self.variables[key] for key in \ + self.modelvariables] + self.dataframe_variables = [ + 'temperature', + # 'pressure', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'ghi', ] + super(HRRR_ESRL, self).__init__(model_type, model, set_type) @@ -494,20 +556,27 @@ def __init__(self,set_type='best'): model_type = 'Forecast Model Data' model = 'NAM CONUS 12km from CONDUIT' description = '' - variables = ['Temperature_surface', - 'Temperature_isobaric', - 'Wind_speed_gust_surface', - 'Pressure_surface', - 'Total_cloud_cover_entire_atmosphere_single_layer', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud', - 'Downward_Short-Wave_Radiation_Flux_surface', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',] - cols = super(NAM, self).columns - idx = [0,1,3,4,5,6,7,8,11,12] - data_labels = dict(zip(cols[idx], variables)) - super(NAM, self).__init__(model_type, model, data_labels, set_type) + self.variables = { + 'temperature':'Temperature_surface', + 'wind_speed_gust':'Wind_speed_gust_surface', + # 'pressure':'Pressure_surface', + 'total_clouds':'Total_cloud_cover_entire_atmosphere_single_layer', + 'low_clouds':'Low_cloud_cover_low_cloud', + 'mid_clouds':'Medium_cloud_cover_middle_cloud', + 'high_clouds':'High_cloud_cover_high_cloud', + 'ghi':'Downward_Short-Wave_Radiation_Flux_surface', } + self.modelvariables = self.variables.keys() + self.queryvariables = [self.variables[key] for key in \ + self.modelvariables] + self.dataframe_variables = [ + 'temperature', + # 'pressure', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'ghi', ] + super(NAM, self).__init__(model_type, model, set_type) class HRRR(ForecastModel): @@ -539,18 +608,25 @@ def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'NCEP HRRR CONUS 2.5km' description = '' - variables = ['Temperature_height_above_ground', - 'Temperature_isobaric', - 'Wind_speed_gust_surface', - 'Pressure_surface', - 'Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud',] - cols = super(HRRR, self).columns - idx = [0,1,3,4,5,6,7,8] - data_labels = dict(zip(cols[idx],variables)) - super(HRRR, self).__init__(model_type, model, data_labels, set_type) + self.variables = { + 'temperature':'Temperature_height_above_ground', + 'wind_speed_gust':'Wind_speed_gust_surface', + # 'pressure':'Pressure_surface', + 'total_clouds':'Total_cloud_cover_entire_atmosphere', + 'low_clouds':'Low_cloud_cover_low_cloud', + 'mid_clouds':'Medium_cloud_cover_middle_cloud', + 'high_clouds':'High_cloud_cover_high_cloud', } + self.modelvariables = self.variables.keys() + self.queryvariables = [self.variables[key] for key in \ + self.modelvariables] + self.dataframe_variables = [ + 'temperature', + # 'pressure', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', ] + super(HRRR, self).__init__(model_type, model, set_type) class NDFD(ForecastModel): @@ -581,14 +657,18 @@ def __init__(self, set_type='best'): model_type = 'Forecast Products and Analyses' model = 'National Weather Service CONUS Forecast Grids (CONDUIT)' description = '' - variables = ['Temperature_surface', - 'Wind_speed_surface', - 'Wind_speed_gust_surface', - 'Total_cloud_cover_surface',] - cols = super(NDFD, self).columns - idx = [0,2,3,5] - data_labels = dict(zip(cols[idx],variables)) - super(NDFD, self).__init__(model_type, model, data_labels, set_type) + self.variables = { + 'temperature':'Temperature_surface', + 'wind_speed':'Wind_speed_surface', + 'wind_speed_gust':'Wind_speed_gust_surface', + 'total_clouds':'Total_cloud_cover_surface', } + self.modelvariables = self.variables.keys() + self.queryvariables = [self.variables[key] for key in \ + self.modelvariables] + self.dataframe_variables = [ + 'temperature', + 'total_clouds', ] + super(NDFD, self).__init__(model_type, model, set_type) class RAP(ForecastModel): @@ -620,14 +700,22 @@ def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'Rapid Refresh CONUS 20km' description = '' - variables = ['Temperature_surface', - 'Wind_speed_gust_surface', - 'Pressure_surface', - 'Total_cloud_cover_entire_atmosphere_single_layer', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud',] - cols = super(RAP, self).columns - idx = [0,3,4,5,6,7,8] - data_labels = dict(zip(cols[idx], variables)) - super(RAP, self).__init__(model_type, model, data_labels, set_type) + self.variables = { + 'temperature':'Temperature_surface', + 'wind_speed_gust':'Wind_speed_gust_surface', + # 'pressure':'Pressure_surface', + 'total_clouds':'Total_cloud_cover_entire_atmosphere_single_layer', + 'low_clouds':'Low_cloud_cover_low_cloud', + 'mid_clouds':'Medium_cloud_cover_middle_cloud', + 'high_clouds':'High_cloud_cover_high_cloud', } + self.modelvariables = self.variables.keys() + self.queryvariables = [self.variables[key] for key in \ + self.modelvariables] + self.dataframe_variables = [ + 'temperature', + # 'pressure', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', ] + super(RAP, self).__init__(model_type, model, set_type) diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index b1dae0eecc..d56d7be501 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -1939,7 +1939,7 @@ def liujordan_dni(zenith, cloud_prct, pressure=101325.): dni_extra = 1367.0 # W m^-2 tao = atmosphere.transmittance(zenith, cloud_prct) airmass_relative = atmosphere.relativeairmass(zenith) - airmass = absoluteairmass(airmass_relative, pressure=pressure) + airmass = atmosphere.absoluteairmass(airmass_relative, pressure=pressure) return dni_extra*tao**airmass @@ -1977,9 +1977,10 @@ def liujordan_dhi(zenith, cloud_prct, pressure=101325.): dni_extra = 1367.0 # W m^-2 tao = atmosphere.transmittance(zenith, cloud_prct) airmass_relative = atmosphere.relativeairmass(zenith) - airmass = absoluteairmass(airmass_relative, pressure=pressure) + airmass = atmosphere.absoluteairmass(airmass_relative, pressure=pressure) + dhi = 0.3 * (1.0 - tao**airmass) * dni_extra * np.cos(np.radians(zenith)) - return 0.3 * (1.0 - tao**airmass * dni_extra * np.cos(np.radians(zenith))) + return dhi def liujordan_ghi(zenith, cloud_prct, times, pressure=101325.): @@ -2006,4 +2007,5 @@ def liujordan_ghi(zenith, cloud_prct, times, pressure=101325.): ''' return liujordan_dhi(zenith,cloud_prct,pressure) + \ - liujordan_dni(zenith,cloud_prct,pressure) * np.cos(np.radians(zenith)) \ No newline at end of file + liujordan_dni(zenith,cloud_prct,pressure) * \ + np.cos(np.radians(zenith)) \ No newline at end of file diff --git a/pvlib/solarposition.py b/pvlib/solarposition.py index 1420cf92e8..816ca745db 100644 --- a/pvlib/solarposition.py +++ b/pvlib/solarposition.py @@ -289,6 +289,9 @@ def spa_python(time, location, pressure=101325, temperature=12, delta_t=None, unixtime = localize_to_utc(time, location).astype(np.int64)/10**9 + print('localized time (UTC)') + print(localize_to_utc(time, location)) + spa = _spa_python_import(how) app_zenith, zenith, app_elevation, elevation, azimuth, eot = spa.solar_position( diff --git a/pvlib/tools.py b/pvlib/tools.py index b1637a2fb7..4766594479 100644 --- a/pvlib/tools.py +++ b/pvlib/tools.py @@ -124,16 +124,19 @@ def localize_to_utc(time, location): if time.tzinfo is None: time = pytz.timezone(location.tz).localize(time) time_utc = time.astimezone(pytz.utc) + else: try: - time_utc = time.tz_convert('UTC') + print('converting to UTC') + #time_utc = time.tz_convert('UTC') # wrong + time_utc = time.tz_localize(None) pvl_logger.debug('tz_convert to UTC') except TypeError: + print('TypeError') time_utc = time.tz_localize(location.tz).tz_convert('UTC') pvl_logger.debug('tz_localize to %s and then tz_convert to UTC', location.tz) - return time_utc From 2de7c09f68b9705edf95ec23aa873a4214fcbca7 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Fri, 11 Dec 2015 18:16:46 -0700 Subject: [PATCH 24/88] Fixed time zone handling of forecast.py, updated tutorials. --- docs/tutorials/notebooks/forecast.ipynb | 283 +++---- .../notebooks/forecast_to_power.ipynb | 697 +++++++----------- pvlib/forecast.py | 252 ++++--- pvlib/irradiance.py | 2 +- pvlib/solarposition.py | 3 - pvlib/tools.py | 7 +- 6 files changed, 543 insertions(+), 701 deletions(-) diff --git a/docs/tutorials/notebooks/forecast.ipynb b/docs/tutorials/notebooks/forecast.ipynb index 4894e61032..473e90b47d 100644 --- a/docs/tutorials/notebooks/forecast.ipynb +++ b/docs/tutorials/notebooks/forecast.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 68, + "execution_count": 1, "metadata": { "collapsed": false }, @@ -39,16 +39,28 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 2, "metadata": { - "collapsed": true + "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tucson: latitude=32.2, longitude=-110.9, tz=US/Arizona, altitude=100\n" + ] + } + ], "source": [ "# Choose a location and time.\n", - "location = [32.2,-110.9] # Tucson, AZ\n", + "latitude = [32.2]\n", + "longitude = [-110.9] # Tucson, AZ\n", "tz = 'US/Arizona'\n", "\n", + "a_point = pvlib.location.Location(latitude[0], longitude[0], name='Tucson', tz=tz)\n", + "print(a_point)\n", + "\n", "start = datetime.now() # today's date\n", "end = start + timedelta(days=7) # 7 days from today\n", "timerange = pd.date_range(start, end, tz=tz)" @@ -56,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 3, "metadata": { "collapsed": false }, @@ -67,40 +79,40 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(location,timerange)" + "data = fm.get_query_data(latitude, longitude , timerange, a_point)" ] }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 5, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "time_vals = fm.time" + "time_vals = fm.time.values" ] }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "var_name = 'temperature_iso'" + "var_name = 'temperature'" ] }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 7, "metadata": { "collapsed": false, "scrolled": false @@ -109,18 +121,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 74, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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hgQKr/r/dBZYVbDC5CotfLSE9RpNCXSz5e0MySfrkUwAokSqLEDCSsLiI61NC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3hWFVSg6UkZRcf/31jBo1im9/+9vMOOh/1Hvvvcdvf/tbnnrqKf7t3/6t5EAL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\nuhglmaT3c5eSmnWcDZHaR2r6Eeh19WhbNvtSvOimA24ywM6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y5jRNhw7imP0qANmpU8Ak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MAAAN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\n/w+OOK9DbWrRCgAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -129,14 +141,14 @@ ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(9, 8))\n", - "ax.plot(time_vals, data[var_name], 'r', linewidth=2)\n", + "ax.plot_date(time_vals, data[var_name], 'r', linewidth=2, tz=tz)\n", "ax.set_ylabel(fm.var_stdnames[var_name] + ' (%s)' % fm.var_units[var_name])\n", - "ax.set_xlabel('Forecast Time (UTC)')" + "ax.set_xlabel('Forecast Time ('+tz+')')" ] }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 8, "metadata": { "collapsed": true }, @@ -147,7 +159,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 9, "metadata": { "collapsed": true }, @@ -158,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 10, "metadata": { "collapsed": false }, @@ -166,18 +178,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 77, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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1GttmVXakD8QTaaK291orr9n+mh3HcXh2wTJibjmfVu2Fo7AjIp1Q2BERKUEt\nfmWHbuwyn49oVA0KpG/Vb9iMiUvcimAGg9s9dvFLq1n/sdfMwDYsnGSqL4YoIiVIYUdEpAQlk15l\nxzB7J+xkp7GFDIN4MkOLX0kS6S1NG7wNRVPh8u0et+bDLbz5f2tzP9tmEFIKOyLSMYUdEZESlJ3G\nRqCXKju5sOP9rOqO9LbmzVsAyJRVdHpM09YEC59aDsCB43cFwDYtSGsam4h0TGFHRKQEZSs7vdGJ\nDaAs6k0jCjjez+rIJr0tUVcPgFte2eH9tu3w7JPLSCYy7DZ6EEdMGOXdblgYaVV2RKRjCjsiIiUo\nF3as4lV2XMfBbvL2ObGCAYKhAAYQQJUd6X3pBm8NjllV1eH9i/6xig2fNlJeGeZr39qHYCgAgGNa\nkEn32ThFpLQo7IiIlKB02iu5mIHivY1vmjeXDy+5mOTHHwOtU9mCwOat8aI9j0hHnCYv7ASrt+3E\ntur9Tbz1+jpM0+Drp+xHWTSEYRhkC5tuxu7LoYpICVHYEREpQSm/smNZgaKdM7lmNbgu8Q9XAK3t\np7WxqPQFI+ZVFctqBra7vbEhzvNPvwfAkceOZtiI6tx9lr9mzXCcPhqliJQahR0RkRKU9r/JDgSL\n9zaeafS+WU9v2ghAmd9+2kLT2KT3WfEYANHBNbnbMhmbZx5/l1TSZo+xNYw7fET7x2Rf/7bbZ+MU\nkdKisCMiUoIy/jQ2q4hhx25sBCC9cRPQfhqbKjvS20LJZgCqhraGnVf//iGbN8SorI5w/En7YHxu\nXykr6FU2e2lvXRHpBxR2RERKUCbtVXaCRZrG5qTTOHFvXU4qW9nJtp/GoLElTSqtdRHSO1Jpm2ja\ne/1VDvHCzoplG3j3jU8xAwZfP3U/wpFtNxoNhiwADBV2RKQTCjsiIiXIzniVnWxHqoLP53dhA28a\nm+u6ufbT5f6355rKJr2loa6JsJsmYwSwysup39LCC3/7AICjv7YnQ4Z33KEtFPbDDgauq8QjIttS\n2BERKUHZsBMqWthpzP3bTSaxG7fmprGVWd6fCoUd6S1bN3gbiiZDUeyMw/8+8S7plM2e+9ay/yG7\ndPq4oB92XCNAKqm9dkRkWwo7IiIlyPEXZIf8aTyFaht2wFu30zqNzaN1O9JbYpu8sJOOlPPRis3U\nbWqmemAZXz1h723W6bQV9KuOtmmRaFZ7dBHZlsKOiEgJcmyvshMOFyfsZLZ+Luxs2kjUbz1tOl6w\nUmVHeksPTl/fAAAgAElEQVR8Sz0ATnklLTGvQjNyTE1umlpnsmHHMSySCjsi0gGFHRGREuT6lZ1w\nuPjT2ABSGzfkWk87/pQ5VXaktyQbvLBjVFSRiKcBCJd1HeStNpWdZItenyKyLYUdEZES5PrVlkik\nuNPYgsOGAV5lJxgKELBMXNvFRGFHeo+91dvjKTCgmkTC2zA30kH3tc8LhryPMbZpkW5RZUdEtqWw\nIyJSitxs2On6A2F32I3+7vWj9wS8sGMYBlG/I1sQTWOTXhTzwnZk4ECS+VR2DIuUwo6IdEBhR0Sk\nFPmVnbJufCDsjoxf2YmM8cOOv7FoWZuNReubUtiOU5TnE2kr0BIDoKxmYG4aW6SsG5WdNtPYUnGF\ncRHZlsKOiEgJym6iWFa0yo4XdsK77Y4RCmHHmrBbWnJhpypi4bgu9U3JojyfSFvBRDMAlUMGk4z7\n09i6EXbaVnZshR0R6YDCjohICcq+eZdHixR2/MqOVV1NcHAtkO3I5oWdAWHvebRuR4rNdhzKUi0A\nVA2tIZHwp7F1Yz1aMNi6ZiejsCMiHVDYEREpMbbj5N68i9GgwHVdMn5lJ1BZSXDIEMALO2V+mCr3\nv0HXuh0ptq1NSaK2t94mNGAAyUQ+lZ0gdlJVRxHZlsKOiEiJaWnxvvm2gYBZ+Nu4E28B28aMRDBD\nIYK1ftjZuDE3jS1iehs7qrIjxdawqY4ALkkrjGsGSKdsTNMgGOq6rXr2GMe0sBN6bYrItoqzsrWb\n0uk0M2bM4JNPPiEQCPCLX/yCQCDAjBkzME2TsWPHMmvWrO3uliwisrOL+wu43SKdL9uJLVBZBUDI\nr+ykNm4kOsoLO9k/FqrsSLE1bayjDEiFy1s7sUWsbn0WaLtmx/GnwomItNWnYeeFF17Atm3mzp3L\nq6++yq233komk+GSSy7h8MMPZ9asWSxcuJCJEyf25bBEREpKSzbsFOl7oex6nUCVF3ZylZ0209hM\nv/ubKjtSbC2bvbBjRytJ+M0Jwt2Ywgbt1+y4msYmIh3o02lso0aNwrZtXNelqamJYDDIu+++y+GH\nHw7AMcccw6uvvtqXQxIRKTlxf00DZnHSTtv1OtA+7GQbFNhpG4DNjfpAKcWVrKv3/lFRmWtOEOlm\nS/W2lR03pdemiGyrTys70WiUTz75hBNOOIGGhgbuvvtuXn/99Xb3NzU19eWQRERKTi7sFGnKb64T\nW1U1AMGaGjBNMvX1hL2sQ8p/zrrGBK7rarqxFE16awMAgarqNtPYulfZsdrss0M63TsDFJGS1qdh\n54EHHmDChAlMmzaNzz77jDPPPJNMJpO7v7m5mSp/GkVnBg6MYlldL1r8IqutrdzRQyh5uoaF0zUs\n3I66hkFrIwCmZRZlDHHb+0a8ctjg3Pk+HlJL4rMNDA6mMU2DdNKmMmLRlMgQLAsxsDJS8POCXofF\nUsrX0fQ3FK0cNpig5X0sGTAw2q3fqbLCex3ahkXAThd0HUr5GopI5/o07FRXV2P5b2RVVVVkMhn2\n228/Fi9ezBFHHMGLL77IUUcdtd1z1NeX9gLE2tpKNm1S9aoQuoaF0zUs3I68hpu3eBswYlCUMTR+\ntgmAZCCcO585aDB8toGNH6ymLBqkOZaipjxEUyLDB6u2MHqX7X8x1R16HRZHqV9Hp3ErAEZ529/D\n7dbvZNuOdw7Twk4m874OvXkNFaJEdqw+DTs//OEPmTlzJqeffjrpdJpLL72U/fffn6uuuop0Os2Y\nMWM44YQT+nJIIiIlJ5Xy1s+YgeIsu7T9NTtWZWuA8dbtvOs1KSgfRHMsxcBoiNVbWtjSmChK2BEB\nsOJeZadi8CC2tPSsQUEgYGIY4GJitJkpIiKS1edrdn71q19tc/tDDz3Ul8MQESlpqaT3oc60ihR2\n/LWSgTbTiHMbi27cQFn5MACqwt6fDHVkk2JxXJeI3zK6amgNiWXea6u7DQoAAgGDTMYFv8ojItKW\nNhUVESkx2cpOoFhhJ9eNrTXstO61s4mo33466j+fwo4USyyepjwTByAyaBDJXDe27lV2ACzLa5Zh\nOAo7IrIthR0RkRKTTnuVHatIYSeT68b2+Wls/l47fvvpiOmHHW0sKkXSUN9MxElhGyZmeXnrPjvd\n7MYGrR3ZirbLroj0Kwo7IiIlJpP2vsEuRmXHzWRwmpvBMDDLy3O358LO5k2U+d+yB1zv0+TmrfGC\nn1cEYOuGzQCkQlEM02zTerr709iCIS/sGAo7ItIBhR0RkRKT9jf4zH7IK4Qd89frVFZimK1/Esxw\nmEB1Ndg2IdffrNH2Pk2qsiPF0rxpCwDpsgqANpuKdr+yEwp5wcjAwHWVeESkPYUdEZESY2e8yk6w\nCHuOZTpYr5MVGjLU+/+U1+o6k8wQCprEkzYtCW3gKIWL19UD4JZ77ZmT/jS2njQoCPlT3gzDyE3x\nFBHJUtgRESkx2bATKkZlx+/EZnWwoXOwthaAQLO3w31Lc4qaKm8Tx81qUiBFkK739tgxK6vIpG0y\nGQczYLSuw+mG7LG2YZFoSfbKOEWkdCnsiIiUGCdb2QkXIexsp7KTXbdjNXrrKuLNaWqqvbCjqWxS\nDHaTF3as6gEkEn5VJxLEMIxunyPohx3HtEjGSnvjcREpPoUdEZESY/trZ8KhwrdKs/1ObIGOKjv+\nNDZjy3oAEvE0NZVhQO2npTiMmPf6iwwa0NqcoAdT2ACsoPdRxjYski1qniEi7SnsiIiUGNffPDFc\nhMpOds1Ox9PYvMqOvXkjEX+vnYH+wnFVdqQYAi0xAKKDB5Hww06kB22nobWyY5sWqRa9LkWkPYUd\nEZES4zpeZaenHwo70jqNrXKb+9pvLOrttVPhV5NU2ZFCua5LKOk1v6gcUkMyO42tB53YoP2anXRc\nlR0RaU9hR0Sk1OTCThGnsXWwZscsL8csK8NNJoiEvTUUUUsbi0pxxJMZohkvnJQPrslVdno6jS3b\ngt02LdJxvS5FpD2FHRGRUuPvJVJWhLCT8buxdbRmxzCM3LqdiOnt7RPyF46rsiOFqm9KUu6HnUBV\nVQGVndY1O5rGJiKfp7AjIlJisjvFl/XwQ2FHstPYrA4qO9C6bifkeC19DdslYBo0tqRJ+ZubiuSj\ncXM9Fg7pQAgzHG6t7PQwxLd2YwuSSSjsiEh7CjsiIiUmF3YKXLPjuu52u7FB67qdYMpbSB5vSTMw\n25FNU9mkAE2b6gBIRcoBWhsU5Ltmx7RwEtpnR0TaU9gRESkhjuNg4qWdaA/XNmxzrkQCN53GCIcx\nw+EOj8luLGq1ePuhxJtTDNZeO1IELZvrAXCiXnOMZNybxhbOtxubYWEn9ZoUkfYUdkRESkgq5WBg\n4OASKnCfna6msEHrXjtW0xYA4i0paqr8sKN1O1KAZL0XdvBff4lEtrKT5z47quyISAcUdkRESkhz\nPAWAS/d3mO9M6xS2bdtOZ2XX7ATqNwAQb05TVe61oY75045E8mFv9aqF2SmU+U5jy3VjMyyclMKO\niLSnsCMiUkLi/gdCt/Css92201nWgAEYlkXAr+y0tKQI+9OGkmmn8EHITsuNea+/8MCBALlubOEC\n1uyQShVxhCLSHyjsiIiUkJZc2Ck87WQa/bbT2wk7hmkSrB1CKONNWYs3pwj6e+2oG5sUwmz2Xn9l\nNQNxXbe1spNnNzbbsHBV2RGRz1HYEREpIYmEHzCK8O6drexYnXRiywoOGYKJQ8jytvjJfhRNKuxI\nAYIJr8NfxZAaMmkHx3axLDNXqemutmt2SGtqpYi0p7AjIlJCsou4DbMIa3Yat992Oiu7bicc8Kat\nmY7XDU5hR/KVTNuUpb0NRSsGD2rdYyePDoO5fXaMIEZa09hEpD2FHRGREpJMeesaDLPwt+9MY9dr\ndsCr7ACE3daNRb2xKOxIfrbGkpRnvLBjVQ8gmchuKNrzvaMC/rRKxwxgZBR2RKQ9hR0RkRKSncZm\nBIrXja2raWwhv7ITTLf4D/QqPFqzI/lq2NpC1EniYBCorCTh77HT005sAIZhEPA/zbi2mmaISHsK\nOyIiJSTlV3bMQOFv363d2DpvPQ2tlR0r7h3v+F3Y1I1N8tW4sQ6AVDiKYZptKjv57R2Vre4Y/hRL\nEZEshR0RkRKS8qeOZT/cFcLuRjc2gGDNYDAMgi0NADj+GLRmR/LVvNlrZW6XVQD577GTlW1SoLAj\nIp+nsCMiUkLSRQo7rm1jN8fAMLqs7BiWhVVTQ8hfY5FOetUlhR3JV6LOC85uuffaa53Gll9lJ9uk\nwFDWEZHPUdgRESkhaT9gZL/Jzpcdi4HrEqio6Fazg1DtUEK2F3YyCjtSoEyDF3bM6mqA1mlseVZ2\nQuHWkOS6Sjwi0kphR0SkhGSyYafAyo7dzU5sWcEhtbmNRbM73atBgeTLbtwKQLB6ANCmspNHNzZo\nDTsGBhlbYUdEWinsiIiUkIzfFCDYw40XtzlPU/f22MkK1g7JVXaS/vqKlBoUSJ6MZm+9WNmggUDr\nayrfaWxWyH+cGSARTxY+QBHpNxR2RERKiJ3xw04ovw+FufNk2053sV4nyws7XmUn3pwiYBjYjktG\nrX4lD1Y8BkC0dhDQulluPvvsQGv4tw2LZHNLEUYoIv2Fwo6ISAlx/LATChVW2enpNLbQkKEE3AwB\nN4Ntu0T8NUNatyM9lbEdwikvkFTW1gCQLGCfHWhdw2abFsnmeBFGKSL9hcKOiEgJse0ihZ0mv+10\nt6ex1XrP63dki/prhpIphR3pmcbmFBX+6yg4ILtmJ9ugoLBubLYRJNWisCMirRR2RERKiOsvvo7k\nufliVqaxZ2t2zEiEQFVVLuxEAqrsSH7qm5KU++u/rOpqXNfNNb3It0GB5Yd/27QUdkSkHYUdEZES\n4vqbJrZttZuPbDcsq5vT2MBbtxP01+2EDQNQkwLpuca6rQRdm0wgiBmJkE7ZOI6LFTTz3j+q7Zqd\nlBoUiEgbCjsiIiXEdbxwUZbnN+BZPZ3GBt66nWxHtmzYUWVHeiq2qQ6AdKQcaJ3Clu96HWi/ZicT\nTxQ4QhHpTxR2RERKiV9IiUSK1Hq6J5WdIa3tp7MfSxV2pKfiW7yw45R7nQALncIGrZUdx1DYEZH2\nFHZEREqI4e8OHy20suOv2bGqutd6GrwmBdn20wF/30Y1KJCeStY3AGD4QbvQ5gQAVrB1zU4mobAj\nIq0UdkRESojhh4yyAqb8OMkkbiqFEQphhCPdflywdkiuQYHphy5VdqSnnK3+erGq9p3YCpnGFsxO\nYzMsnKTW7IhIK4UdEZESYuBXdqL5fzBs3WOnEsNfe9Md3pod71tz0+8Kl1LYkR5yY956sfBAL+xk\np7GFC+gw2LayYyvsiEgbCjsiIiUinbExMXBxCRewz04+63UAzIoKIkG/tJTxQk5S3dikh8wWL+xE\nBw8CilXZaQ07rsKOiLShsCMiUiJaWrwPhQ4Gppn/23frep2ehR3DMCgf6K3xcf2Qo2ls0hOO4xJO\nxgCoqK0BIBnPVnYK6cbW2qDATaUKHKWI9CcKOyIiJSLufwPuFnie1mlsPQs7AGWDB2K4Nq7r/QHR\nNDbpiaaWFOUZf6+mQZ9fs5P/NLZgqLX1tJtSZUdEWinsiIiUiJak9w242/1lNh1qncbW/U5sWaGh\nQ3NNCixU2ZGeaYilKPfbl1vV1QAkE9lubIVXdmwjCKrsiEgbCjsiIiUi4U9jwyws7dhN2Wls1T1+\nbKh2SK5JQRCFHemZrU0tRO0ELq2VxYQ/ja1Ya3aMjMKOiLRS2BERKRFxv7JTcNhp9BaIB3qwx07W\n5zcWVYMC6YnGjfUYQDocxQh4ASXhV3YixejGZliQVtgRkVYKOyIiJSLbotcoUmUnnzU7wTaVHQut\n2ZGeadlcB4BdVpG7LdegoIDKjmka3ncAhoGR0WtSRFop7IiIlIikX9kxAoWFnUye3dgArIEDCbne\nN+cRxyGZ0gdL6b5EQ733jwrvtee6buuanQIqOwABy//vwlG1UURaKeyIiJSIbLAwA4W9dRfSjc0w\nTYKRMABlTkprdqRHMg1bAQj4zQlSyQyuC6FwgECBr2vL8h5vuIX2KxSR/kRhR0SkRKT8yk4hHwpd\nx8H2d7APVFR0cXTHwhURAMqctMKO9IjrT6EMDci2nS58j50sK+iHHUdhR0RaKeyIiJSIlF/ZCVgF\nbCjaHAPXxayowLDymzYUqiwHIOzaWrMjPWI2e0E7UjMQaG07XcgeO1mhkHcOgwJ7s4tIv6KwIyJS\nIjLpIoQdvxOblccUtqxQ2PsW3kTd2KT7XNfFiscAqBg8CGjdULQYlZ1gOBt2IGPrdSkiHoUdEZES\nkfbDTna6Tj7sAjYUzQr6YcfA0DQ26bbmRIaovyFtpCYbdgrfYycrmK3sGCaJZLrg84lI/6CwIyJS\nIjJ+FSW7gWJe52j0F4jn0YktK+h/C28YBumMg6M1EtINW2NJyv09miy/QUEyW9kpwjS2YKh1r51k\nc7zg84lI/6CwIyJSIjIZP+yE8g87uQ1FC5nGVpYNO96fEFV3pDsamlNU+JWdQJUXdhL+3lGRojQo\n8MOOGSShsCMiPoUdEZES4WQKr+xkp7Hls8dOVijqtZ7G8MaRymh9hHRta10jITeDbVqYZWVAkSs7\nubBjkW5JFHw+EekfFHZEREqE7YeKUDj/D4a5NTuFTGMr81pPu6rsSA80b6oDIFNWjmF4HdMSuW5s\nxavsOIZFqkWVHRHxKOyIiJQIx98ZPlzANLZMARuKZoXKs2HHr+ykFHakaxs/2ej9o6L1tZdrUFCM\nbmx+4w7btEjFVdkREY/CjohIiXBtrxFAIW167abCW0+Hy70pSI7hVZhU2ZGuZGyHjWs/A6CitiZ3\nezGnsVltGhSkVdkREZ/CjohIiXD9rmfhcCENCrLd2PJvPW1FyzBcB9cwMVDYka69v7aBUKIZgKi/\nxw607rNTlNbTbdbsZBKq7IiIp8uvUhYtWsTf//531qxZg2EY7LHHHnzta19j/PjxeT3hPffcw/PP\nP08qlWLq1KkcfvjhzJgxA9M0GTt2LLNmzcrN5RURkTb8sFNWQGUnU4RubIFIhICTJhMI+xuLKuzI\n9i1dsZnqtLehqDVgQO72pN+NLRwpQmUn2FrZsRV2RMTXaWVn+fLlnHHGGTz88MOMGDGCyZMnM2XK\nFEaMGMGDDz7I1KlTeffdd3v0ZIsWLeLNN99k7ty5/P73v+ezzz7jhhtu4JJLLuHhhx/GdV0WLlxY\n8C8lItIv+WEnkueUHyeZxE0mMKzWblj5MCMRAo73ITXgugo7sl2u67J05WZ2S3hrdiKjRgPgOG6b\nsFPcNTuZRLLg84lI/9DpX8wFCxZw2223MXDgwG3uO/3009myZQv33nsv+++/f7ef7JVXXmHvvffm\nxz/+MbFYjJ/+9KfMmzePww8/HIBjjjmGV155hYkTJ+bxq4iI9G+Gv3dnNM8pP3bMr+pUVRVUQTcs\ni4DrfUgNuTaptFpPS+fWbWomVt/I0GQdBAKU7TkWgFTSfw2FLUyz8BkdrZWdII7Cjoj4Og0706dP\n3+4Da2pquPzyy3v0ZHV1daxfv5577rmHjz/+mPPPPx/Xbd15OxqN0uQvnhURkfayHwejeU75sYvQ\niS3LMrxqTtixSaobm2yHV9XZgIlL2egxmGFvn6bW9TqFT2GD1jU7jhnASWkam4h4On2HcV2X2267\njSOOOIKjjjoK8ALQLrvswn/+53/m9WQDBw5kzJgxWJbFqFGjCIfDbNy4MXd/c3MzVV3s/TBwYBTL\nyn9x7hdBbW3+C4PFo2tYOF3DwvXlNXQcBxMXMNh99xqCVs/7y9St8b5Jjw4eWPDYLb/MFMTGCll5\nn0+vw+L4Il/Hd1fXsXuL14mt5pBxubEmW7zXY0VlpCjjTye80G0bFgEn0+NzfpGvoYjkr9Owc9tt\nt/Hee+8xZcqU3G3nn38+N9xwA3fccQcXXnhhj5/ssMMO48EHH+RHP/oRGzZsIJFIcOSRR7J48WKO\nOOIIXnzxxVyw6kx9fUuPn/eLpLa2kk2bVL0qhK5h4XQNC9fX17ClJYWBgQM01DfndY6tH28AwA5H\nCx57wPD3/HEd6hpa8jqfXofF8UW+jltjST5Y28DRCe+1x26jc2P9bL3fGTBoFmX8sZhXzbHNIOmW\neI/O2ZvXUCFKZMfqNOw899xzPProo4T9cjPAqFGjuOWWW/je976XV9g59thjef311/nud7+L4zjM\nmjWLXXfdlauuuop0Os2YMWM44YQT8vtNRET6sWZ/yk8hq2NybaeLMI3NXwtO0HXUoEA69daHW4jY\nSYYk6zAsi8iYPXP35aaxFaETG7TvxkYqVZRzikjp6/QdxjTNdkEnq7y8HMvK/43pJz/5yTa3PfTQ\nQ3mfT0RkZxD3d5p3C1jHnWlqbVBQKCsAOGC5DimFHenE0hWb2S2+AQOIjB6DGQrl7kv6r+li7LED\nEAy17rNjJBV2RMTT6aTvaDTKmjVrtrl9zZo1BAKlvWZGRKTUxP1vwSmgi1q2QYFVjLBjeeMI4pJU\nNzbpQDJts2x1HbvHvSlsZXvv0+7+bGWnGHvsAFhtWk8baYUdEfF0+g5z3nnncdZZZ3HRRRcxbtw4\nXNflnXfe4c4772TatGl9OUYRkZ1ewm/T2/lXVF2zm4rXjS1oGZDy9tlRZUc6snx1PamMw55prxFR\n9HNhJ5nIdmMrTmUnEPD+43CNAEYmU5Rzikjp6zTsHHvssZimyd13380111yDaZoccMABXH311UyY\nMKEvxygistOL+x8MDTP/tJMLO8Wo7PjrIyygRWFHOrB05WbK7AQDW7b463XGtLs/4U9jCxcp7BiG\ngRWAjA04qjaKiGe7teNjjjmGY445pq/GIiIinUglvUBhBPKfxpZp9NfsFKOy44cdE9SgQLbhuC5v\nrfTW6wBE9hyLGQy1O6a1slOcaWwAAcskYzsYtsKOiHg6/Yrw4osv5pVXXun0gf/4xz/y6sgmIiI9\nl0h434KbgfwqO67j5Co7VmXhrXCDYe8DqgkkU/pgKe2t+ayJrc0p9rI3AdtOYYO2a3aKU9mB1hAu\nIpLV6dcp1113HXfeeSe/+MUv2GeffRg2bBiBQIBPP/2Ud955h4kTJ3LDDTf05VhFRHZaqXQ27ORX\n2XFaWsBxMKNRjAI6amaFsmHHMLRmR7bx5orNAIxOeut1Pt+cAFqnsRVrzQ5kO7Kl8fe8FRHpPOxU\nVFQwffp0/uM//oPXXnuN1atXEwgEOOSQQ/jlL39JeXl5X45TRGSnlvarJwErv8pOprF463UAgmUh\nwAVMTWOTbby1cjPRTJxo42aMUIjIqNHbHNMb09iy7adNDDK2g5VnJVRE+o8u32EqKiqYOHFiX4xF\nREQ6kUp534IH8vzw1jqFrThhJxQJAUkMw1DYkXY2b43z8cYYB2S8KWxlY/bEDLav3ti2QyppYxit\nVcJiCIa95zEwSKYyWGWhLh4hIv2dvvIQESkBGT9QWKH81iQUsxMbQKjM33TaCJBM27iu5g2J562V\nWwA4yKwHOp7ClvTXoIUjFkYBe0d9Xray45oBknHttSMiCjsiIiUh7W/caeU5jS27oWgxOrEBBKNe\n2HENE9eFjLpfiW/pSm+9zvDYegCi++y7zTHZKWzFbE4ArS3RbcMi2RIv6rlFpDR1+VfzrLPO6otx\niIjIdtgZL0zk220qt2anCJ3YAELlEcDbwBEgmVbYEYgnM7y3pp4KO45Vt9Fbr7PHqG2O643mBND6\n34dtWiRjCjsi0o2wk0gk+PTTT/tiLCIi0gnbn8YWLHAam1WkaWzh8igAjuGtt0imtG5H4N2P6rAd\nl8Mj3uutbOxeHXb/S2bbThexOQGAFfQ+1tiGRSqusCMi3WhQUFdXx/HHH09NTQ3hsDdtwTAMFi5c\n2OuDExERj217a2LyDjtF3FAUIFRRBoBjWoCjJgUCtLac3sf11u10tL8OtO6xEynyNLa2lZ20prGJ\nCN0IO//93/8NeAFHC1BFRHYMx3YwgXCenasyRW5QECgrI+Cksc2gt7Gows5Oz3Yc3lnlhZwBm9fi\n0nFzAmjToKDolZ02YSeeKOq5RaQ0dTmNbcSIEbzxxhvMmzePQYMGsWTJEkaMGNEXYxMREZ/rV3bC\n4S/GNDYjFCLg+O2wXUcbiwofftJILJ5mZLmDu3kjRjhCZOQeHR6bq+z01podQ2FHRDxdhp2bbrqJ\nF154gf/93//Ftm0ee+wxrr/++r4Ym4iI+BzHawAQybOyU+xubIZhEMBfZO7YalAguS5sR0a9KZNl\nY8d2uF4HIOFXdoo9jc0K+Wt2TItMIlnUc4tIaeoy7Lz88svcdNNNhMNhKisr+Z//+R9efPHFvhib\niIhkOdnKTs8/HDrpNE48DoEAZjRatCFZeAEn7GRU2RGW+ut19khsACC697Ytp7N6q0FBa2UniJ1Q\nZUdEuhF2AoH2UyZSqdQ2t4mISC/zCydleXw4zG0oWllZ1A0cA/6gQthas7OT+6yuhc/qWiiPWATX\nrQIguk/H63Wg96axZdfsOKaFk1RlR0S60aDghBNOYNq0aWzdupUHHniAJ598kpNOOqkvxiYiIj7D\nbxBTFskj7Pid2KwiTWHLskxvTCFX3dh2dtmqzvhdgmT+tREzEiG8+8hOj882KOjNNTu2wo6I0I2w\nc+655/Liiy+yyy67sH79ei6++GKOO+64vhibiIj4DL8ZZjQa6vFj7SJ3YstqDTuq7Ozs3vLX64wL\nNABQttfeGNuZBZKt7ITzCO/bk9tnx7Rwk81FPbeIlKYu32UuuOACTjnlFKZNm0Yo1PM/siIiUjgD\nFzCI5rGgO9PYS2EnANgQdF1tKroTi8XTrFi3lYBpUFu/jhY6bzmd1ReVHVKq7IhIN9bsfO973+PZ\nZ59l4sSJXHHFFSxatKgvxiUiIr5UKoOJgYtLKNTl2/Y2cm2nizyNLWh5638CuKTUjW2n9c6qLTiu\ny/y6HHIAACAASURBVF67DSC98gNg+80JbNshnbIxTSPvTXI7kz2fbVq4qVRRzy0ipanLys5xxx3H\ncccdRzwe54UXXmD27NnU19fz/PPP98X4RER2ei1x71twBwPTzD/sFKvtdFYwaEISLFxNY9uJvftR\nHQCHDbVIb96EWVZGePfdOz0+2WYKWzEbZgBYlj+NzbAwFHZEhG6EHYAVK1bwl7/8hWeeeYbhw4dz\n5pln9va4RETE1+J/OHTz/FzYOo2tslhDAsCyvG/RAy4KOzuxhpg3XWxY4zrAX6+znVCe8MN7uMhT\n2KB9NzYy6aKfX0RKT5dh59///d8xTZNTTjmF3/3udwwZMqQvxiUiIr54orCwU+wNRbOyU4YCKOzs\nzGJ+GA9+8hEu25/CBpDwX8+RIjcngNawYxsWRkaVHRHpRti56aab2GeffYjFYrkdvEVEpO/E/Q+T\n5Dnlx27yW09XVRdrSAAEw94HS9NQ2NmZNcfT4Lrw0UoAyrazvw603VC0+JUd0zQwTXAcAyOj16SI\ndCPsRKNRvvvd77J27Vpc12XXXXfl1ltvZdSoUX0xPhGRnV4i6X9oM/MLO+ktXltga+CAYg0JgGDY\n+7BqYJBSN7adViyeoToTw22ow4yWEx6x23aPz05j643KDoAVMEg5bm5vKhHZuXW50vXqq6/mnHPO\nYfHixbz++uuce+65XH311X0xNhERoXXajxHoedixYzGc5maMcIRAkSs7obC3HYGBSVLd2HZK6Yy3\noeweiQ0AlO29/fU60GYaWy9UdqB1rx0chR0R6UbYqa+v54QTTsj9fOKJJ9LQ0NCrgxKRjj33jw/5\n47y3dvQwpI8lk9434fl0Yktt9D6EhoYOLXrnq1CZv/eaYZDSlKGdUna9zuik9zrrar0OQLIXGxRA\n6147prKOiNCNsBMOh/nXv/6V+/mdd96hrKysVwclIttyXZflr31Mw6p61n2ydUcPR/pQ0p/GZlo9\nDyvpDd6H0OCQoUUdE0AoGvb+YZhas7OTyq7XGdH8GQDRLjYTBUjEs5Wd3pnGFgx55zUAW2uNRXZ6\nXb7TzJw5k4svvpjqam/6Q0NDA7feemuvD0xE2tuwMZb7D7Z+a4IRuxZ3SpJ8caX99TBmoLDKTrEF\noxEAXCNAUmt2dkqxeJoB6SbK082YFRWEdt21y8ckE9l9dnqpshNuDTvJlEM00vP/bkSk/+gy7Bx8\n8ME888wzfPTRR7kGBRUVFX0xNhFp48MP63L/jsXUUnVnkkp5034CVs93m+/Vyk65V9lxjYDW7Oyk\nYvE0I+OtVZ2u1utAmwYFvTWNLVvZMQIkkmmivdQIQURKQ5fvSk8//TSTJk1ir732IhKJcOKJJ/Lc\nc8/1xdhEpI1PP22dutbcorCzM0n7U8SsPKax9WZlJ1wRBcAxLDK2g6MF4TudWCLNiMQmwNtMtDty\nrad7KYRk93+yTYtUc0uvPIeIlI4uw85dd93F//zP/wAwcuRIHn/8cW677bZeH5iItNewufWPdm7f\nFdkpZPyqSXbDxO5yXZf0Bu9b92AvhJ1Qhbd+0zG9D61at7PzaY6nidpxAIK13dt0vPe7sbVuLJps\njvfKc4hI6egy7KTTaQYPHpz7uaamplcHJCIdS8WSuX8nWhR2dibZsBPsYdixY0048ThmWRmBisqi\njysYjWK4Nq5hYriuws5OqDmeIWJ7leZAWbRbj0nmprH9f/buPMiu+jr0/XdPZ+5ZMxKakJBAiElM\nLx7j4QEX+90HGExALpfjvFdJOXaCTcXlCewbArZJqFRhJy/mOSRYudhlG9tJbBywr81zHDCzAI2A\n0NjqbrV6OvMefu+Pvfc5p+ludbfUZ16fKpdFd+8+v97n9Om99lq/taqU2QlaT7u6SSErwY4Q7W7W\nd5pLLrmE22+/nQ984AMopfjZz37GRRddVIu1CSEC+ZyN7pRLhMJWxKI9uG4Q7ETmF+xU7tdZ6LbT\nAJphYHgOjmEQUa4EO20onbNZ6fk3X/TE7MGOY7s4joduaPPOVM5VZWbHzuWr8hhCiOYxa7Bz5513\n8vDDD/Pd734X0zTZtm0bf/AHf1CLtQkhAsePjk/676IEO23FtU8v2CkOVG+/TsjExQFiniMd2dpQ\nOmcT8/zMzlyCnXw+yOrErKoE4FAR7OgmxawEO0K0u1mDnWg0ysc//nE+/vGP12I9QohpHDg4AoCL\nwkArtSIW7cFzPTQgGplf2Y89WL1ObCED/7UYVS5F6cjWdtJ5m2gQ7BhzCHZKzQmqVMIG5TI2TzNx\n8xLsCNHupPm8EE1goN/P7GSC/3blorKteEEZWyTagJkdLViblLG1pVwmj6Vc0HW0SGTWry8NFK3S\njB2ozOxYOFLGJkTbk2BHiCYwcdLfZGt2+HNNXEcuKtuJClo6x6KNl9kxNX9tEuy0Jzvj34LR4ok5\nlaUV8tWdsQPlRh6uZuIUCrN8tRCi1c34l/PYsWOnPHDFihULvhghxFSO42JnbUCxeEUHmb3DKEfm\nmbQT5QbBzjzmkiilKjI7y6qyLgDTADywlCfBTptRSuEGc2zmUsIG5cxONcvYKvfsSBmbEGLGd5vb\nbrsNgGKxyIkTJ1i1ahWGYXDo0CFWrVrFz3/+85otUoh2dnIogwbkgPPP6mLX3mGQ4Y3tRYXBztzv\nhrvjY6hCHj2RxEilqrWyUrBjoihKsNNWcgWHiDv3/TpQo8xOpNx62pPMjhBtb8Zg55e//CUAf/7n\nf86tt97Ktm3bANi5cycPPvhgbVYnhGDo+AQAWWDdqm52AZoEO+0leL7j8yhjq8V+HQDL0MAOMzuy\nl6ydpHPza04AFZmdeWQp56uy9bRXyMzy1UKIVjfrnp3XXnutFOgAbN26lTfeeKOqixJClB0+POb/\nI2qyuMefWK+j8Dy5sGwXwbYY4om53w23BweB6u7XATCDzlcGSBlbm0nnnFKwM5e201DRoKAWe3Z0\nE1UsVu1xhBDNYdZbK8uWLeNv//Zvufbaa3Fdl5/85CesXbu2FmsTQlDO7KR6YsRiFh6go5HLOyQT\ns3c/Es0vvCuVmMcFYticoOqZnSDYMZWUsbWbdM4mFpSx6fE5lrHl/DK2aC26sWkmSLAjRNubNbPz\n9a9/nbGxMW6//XbuuOMOXNflnnvuqcXahGh7nqfIjPobbJcs6/A/FjQ8Gp+QWvR24Hpe6Y06Po9N\n3cWB4wBY1Q52gtk/OpoMFW0zmdMpY8uHmZ0azNnRTTRbgh0h2t2s7zbd3d186UtfqsVahBBvMT6a\nQ3mKIoqzgmBHaRooxfh4geVLO+q8QlFtueBOuAcY+tynBZQyO1UuYysFO5qUsbWbdN4m5vnBix6P\nz+mYmpSxRcLMjgUS7AjR9mYNdjZt2jTlY0uWLOHJJ5+syoKEEGUnBtKA35xgeV/S/6ChgadIZ+SP\neDvIBheH89mhpZSiGO7ZqXZmJ2oCys/sSLDTViozO3PdsxN2Y6tJgwLdQHfkfVKIdjfru82ePXtK\n/7ZtmyeeeIIXXnihqosSQvhODJQ7sS3v8y8mdEMH2yMjwU5byGX9YEfNPq+xxB0bRRUKGKkOjESy\nSivzReIWUARNoyjd2NpKOmeTnEfraaVUTTI7hqGjaaAw0Bynao8jhGgOc6+JACzL4pprruGpp56q\n1nqEEBX6j44D4EUMOoJmBHpQjx7e8RetLVcILtb0uUc7Ydvpamd1AKxY2CRDl8xOm6lsPT2XBgWO\n7eG5CsPUS9mXajGM4PfFlQBciHY3a2bn0UcfLf1bKcX+/fuJRKQDlBC1MDzkz4jo7C3Xw5uWgUv5\njr9obeGGbrS5Bzt2GOwsWVKNJU0SiUeBNGiGBDttZr5lbOWsTvVK2EKmqeE4Ck3JTDIh2t2s7zhP\nP/00WsUf2Z6eHu6///6qLkoIAdl0ATvv4KBYujRV+rgV8YOdQl6CnXaQD/Y4aPPJ7NSoOQFAJBnz\n/6FJZqfdpHNOqUHBXMrYwvesaradDlmWQT7vlWZUCSHa16zBzr333kuxWOTAgQO4rsuGDRuwrOq/\nUQnR7oYqmhOc21fedxGJmuSBQkFq0dtBPnieNeM0Mjs1KGOLJPyso6cZ0nq6zaRzNtF5zNnJB50F\nq7lfJ+R3ZLPRUHieQp/HzQIhRGuZNdh5+eWX+dSnPkVXVxdKKU6cOMEDDzzARRddVIv1CdG2hgf9\nYCcHLF9UDnZicZNxwC7IhWU7KAbPs27MfYtlObOzrCprqhRJBcGObspQ0Tbjt56eexlbObNT/TK2\nsCW6FnQJjEer/5hCiMY062//3Xffzf3338+FF14IwIsvvshf/uVf8v3vf7/qixOinYVtpzOoUic2\ngFhwoeDIXfS2UCj6d8PnGuwozyvN2KlFZicaBjuaSUG6sbUNx/WwCzYR5YCmoUejsx5T08xONJz/\npJEvOhLsCNHGZv3rmc1mS4EOwEUXXUShIJPbhai2weN+22nb1OntjJU+ngi6sjmOXFi2AzsIag1z\nbmU4zugIyrYxOjox5jjo8UxYiRgohaebOEUbJRvC20I6ZxOp6MSmzWHgbS0bFFiW/xieZlLI5av+\neEKIxjXru1NXVxdPPPFE6b8ff/xxuru7q7ooIdpdseAwMZrHQ9HTm0CvaBKSSPh3RZUEO22hHOzM\nrVVvLffrAOi6jqH8O/YRz8aW12VbSOfseTUnABg54XeXTHXEZvnKM2dG/MsbVzcppHNVfzwhROOa\n9fbKV77yFe644w4+//nPo5Ri1apVfP3rX6/F2oRoW2HL6RywfPHkoZCplF8uomR+RFuwg30wpjW3\nMrZadmILGbi4WMQ8l4LtEqnyDBVRf5nK5gRzHCh67NAoAMvP7qrq2sDvxgbgahbFrGR2hGhnswY7\na9eu5fvf/z7ZbBbP80ilUrMdIoQ4QycG/BK2LHBu7+QLiY5UMOfKk3KhduDMM9ipdWYHwMSlCESV\nQ8F26ajZI4t68dtOh2Vss5dLjo3kyKSLxBIWvYuSs379mQqHlrq6STErmR0h2tmMwc727dtnPEjT\nNP75n//5tB90eHiY66+/noceeghd1/nsZz+Lruts2LCBO++8c9JcHyHa0YlS22nF8r7JFwadQQmI\nLrFOW3Ac/4m25pgtKWV2ahnsaH6WMaJcaVLQJjLz7MR29KCf1Tnr7O6a/I0vZ3ZMbNmzI0RbmzHY\n+cQnPjHlY5qmoZQ6ozcq27b50pe+RDweRynFPffcw+23385ll13GnXfeyS9+8Qve+973nvb3F6IV\nnKiYsbP8LXdBOzoiKBQGGrbjYs1xL4doTq7jZ3Yikblt6i51YqthGZsZTG6MKE/aT7eJdM4mGgQ7\nxhxm7IQlbCvOrs2e3zAT6ukmdk4yO0K0sxnrIq644go2bdrEhg0buOKKK7jiiitQSrFhwwYuv/zy\n037Ar33ta9xyyy0sXrwYgF27dnHZZZcB8I53vIPf/va3p/29hWgFrutxMtjIm0djac/kEhFD1/Hw\nbziMT0hnxFbnBXuz/CGJp+a3nR4EartnJ4y3LeXJYNE24Q8U9RsUzJbZUUpx9NAI4Gd2aqEys+Pk\nJbMjRDubMdjZtWsX1157La+88krpY//5n//JBz/4Qfbs2XNaD/bDH/6Q3t5e3va2twH+G2Blm9JE\nIsHExMRpfW8hWsXocBbPVeRRLOqNY04zX8ULkqsTEuy0PC8oY4tGZw92nJGTKMfB6OpGj1W/41XI\nDF6iFh4Fyey0Bb8bW5DZmSXYGR3OksvYxJMW3X1z69x2pir37Lg5eZ8Uop3NWBdx77338jd/8zdc\nccUVpY+F5Wb33nsvDz300Lwf7Ic//CGapvHb3/6WPXv28NnPfpaRkZHS5zOZDJ2dnaf8Hj09Ccwm\nL9tZvFi2756pVj6Hx4La9iywZkXntD+rZujgeKDpp30uWvkc1kpNzmFwQ6ivNznr440efQOA5MoV\nNX1+YzEDbDCVIhqPzOux5XW4MGp9Hm1X0REEO51Lek75+Af3DwOwbsNiliw59d/4hTLQNw74mR0T\nd07nR16LQrSmGYOd8fHxSYFO6O1vf/tpt57+zne+U/r39u3b+fKXv8zXvvY1fve733H55Zfz5JNP\nctVVV53ye4yMZE/rsRvF4sUdDA1J9upMtPo5PLD/BOA3J+hNRaf/WQ0NHOjvHz+tc9Hq57AWanUO\nXcdDx59YP9vjje570/9Hz6KaPr/hNk4DxdBwes6PLa/DhVGP83hyLMfiINjJuvopH3/vq8cB6Fua\nqtk6czl/ba5ukhvPzPq41TyHEkQJUV8zBjuu6+J5HvpbpiJ7nofjOAvy4Jqm8dnPfpYvfvGL2LbN\n+vXrufrqqxfkewvRrE4MVjQnmKHkQzd1KLhkssUarkzURdBiPDaHMrbyjJ0lVV3SW4UlQ6aConRj\nawvpijk7pypj8/frBJ3YVtduILlZsWfHK0gZmxDtbMZgZ9u2bTzwwAN88pOfnPTxb37zm2zZsuWM\nH/jhhx+e9t9CtDOl1KRObCtmmEdhmAYKm1zOruHqRF0EZWzxuDXrl9oD/h30Ws7YgXLzBB1kz06b\nyFTs2dFP0Y1t5ESWfNYmkYrQ1TP7PJ6FEr4mPd1EFSV7KEQ7mzHY+fSnP80f/dEf8ZOf/IStW7fi\neR67du2it7eXv/u7v6vlGoVoGxNjeYoFBxuwgWW9019EWBGDIpDPSrDT6oKuzsRjswc75czOsmou\naQor6v8p0TVNurG1AaUUmbxD1Ju9G1tlF7ZaztALW0+7mokqSgZciHY2Y7CTSqXYsWMHTz/9NLt2\n7cIwDG677Ta2bdtWy/UJ0VYqh4n2dESJR6f/FbWifrBTKCxMSaloXGGwk5gls6NcF3toCACrxmVs\n/gwgFw2NoiPBTqvLFVxcT82pG1tpvk4NS9igovW0boEtwY4Q7eyUU+p0Xeeqq66atWmAEGJhzGW/\nDkA0apIBihLstDTP89BRgEYifuqhovbJYXBdzJ4e9Gi0NgsMWPEIkEPTNAqyZ6flpfN+RqdUxjZD\nsKOUKgU7tZqvE6psPa0VJNgRop3NOGdHCFF7lZmd5X3T79cBiAV3+W0pGWpptuOhoeGhguzJKb52\nwC9hs2o4TDQUiYfBlS5lbG0gk7PRlEckLGOLTb8X5+RQhnzOIdkRpbO7dvt1YPJQUU0yO0K0NQl2\nhGggwxWZnRWnyOyEwY4rd9FbWibYk6WYfa9Dab9OjZsTAETiEf8fmk5RGhS0vEzOLgc68TiaPv2l\nxNGKrE4t9+tAec+Op5tojuxtFKKdSbAjRIPI52zS4wWUBnk4ZWYnmQiCHdkf0dLCbntqDteJdc3s\nJGIAKM2QbmxtID3HTmzhgOQVNS5hA3+0hRFc4Wiu3BQSop1JsCNEgwhL2HLBfy+foe00QDLp30lX\njqr2skQdZUvBzhwyOwN1zOwkJdhpJ+mcPWsnNqUUxw7Xfr5OJdMMLnE8CXaEaGcS7AjRIE4M+LMg\n0kqRjJl0JmbuvpVKBWVDngQ7rSyfDxpQzOGd2h4MMzu1bTsNEEn6F7yebkqw0wbSOZvYLANFhwfT\nFPIOqc4oHV2xWi6vJCxl05W8TwrRziTYEaJBlDuxKZb1JU5Z497Z4W8I1yTYaWn5oOsV+qkzO8px\nsE8MgaZhLVlcg5VNFk35m889zZQGBW0gk3OIztKJ7ejB+u3XCYWDRTUFngQ8QrQtCXaEaBDlTmyn\n3q8D0BUEOzoKT0o0Wlah4AcO+gwbwEP28AnwPMyeXnQrUoulTWIFA09d3cTLF2r++KK20vnKPTvT\nd1k7Wpqv01Ozdb2VFXQwNDRNGmcI0cYk2BGiATi2y+hwFgg7sZ062InFLDxARyOXl1k7rSofzFHS\njFPfGbcHB4H67NcBMAwdXbkoTYd8vi5rELXj79kJytimaVDgeYr+w/WZr1MpzOyAzH8Sop1JsCNE\nAxgeyqAUuJY/QvJUA0VDXnD9Oz4hd9JbVTg0Vp8l2CnWsRNbyFDBnXOZadLyKvfsTFfGNjyYplhw\n6eiK1W2/DoAZzqbSdPI5eZ8Uol1JsCNEAwjn62SCuvJTdWILhR26xsflj3irKgb7XwxjljK2weNA\n/TI7AKbmr9VybRxp9dvSMhXd2KZrUHD04AhQvy5sodJgUd2ikJWMoxDtSoIdIRrAULBfZ9RxMQ2d\nRZ1zuBsa3O1PZ+ROequyw2DHNE75dQ2R2dH8QD2iPNkf0eIqy9imy+wcO1S/+TqVwmDH00wKmdws\nXy2EaFUS7AjRAIYrmhMs602gz9J9C0AP7vZnJNhpWXYQNBjWbJmd+gc7puZncyLKlf0RLcxxPfJF\nd8ahop7ncezwGFDf/ToAZimzY1LMSbAjRLuSYEeIOlNKMTxUDnZWLJp9vw6AHlwAh4MnRetxHD9o\nME8R7Phtp0/4bacX177tdCic32gpJZmdFpYJGqIk8P//rWVsQ8fT2EWXrp44qblkqKvIivgvSlc3\ncSSzI0TbkmBHiDrLpos4todm6rjM3nY6FN61zGUl2GlVTlDGFpbjTMc+MQRKYfb1oVszD6KttrDS\nzsKTwaItLB3cXImr6TM7jVLCBhWZHc3EzsmeHSHalQQ7QtRZOuim5gV7cObSiQ3KbVULeQl2WpUb\nbPQvt9CdKtyvE6ljCRuAFaR2TKUk2GlhmSDYCRsUvHXPztEGCnasijI2W1qiC9G2JNgRos7SQTe1\nnOdv8J5txk4oEvXbqhYKMmenVblBGVvkFMGOHTYnqGMnNgDL8oN1Awl2WlmY2Ym4/vtWZRmb63oc\nP9IY+3VgcmbHlWG3QrQtCXaEqLP0hH/HMW27aBos7Z1+IvlbRWN+sGMX5MKyVXlu0OHMMmf8muJg\nY2R2wgtLAygUpUFBq0rnbFAKyw7L2MrvV0PHJ/z9Or1xkh3Rei2xxLLKe3ZcyewI0bYk2BGizjJB\nZqeAYnFXHGuWNsOheNy/AA73dYjW4wVlbLHYzMFOw2R2guyTDtKgoIVlcjYRZaOh0KIxNKP8fhXu\n12mErA6UA3BPM/EKktkRol1JsCNEnYV7dorMfb8OQDweAcodu0TrUWFmJ3qKPTvhQNEly2qypplY\nQVmlDlLG1sLSOZuY62d1jMTkLHQjNSeAcgDu6hLsCNHOJNgRos4mBTuL5rZfByCZ9DtvKQl2Wpby\n/Oc2Hpu+y5pnF3FOngRdx1q0qJZLmyIS9deoo0mw08L8gaJBc4L45P06/Q20Xwcm79mRYEeI9iXB\njhB1FjYomG9mJ5Xya+KVK8FOywqe2lh0+jI2e8hvO231LUIzZy51qwUr5mcaNU2XYKeF+cFOsF+n\nojnBYP8Eju3R05cgkar/fh0A0wz37Fhgy/BlIdqVBDtC1JHneWTTfrBjM/dObAAdqUjwTVQVViYa\ngvKf23h8+sxOo+zXAYgEwQ5IsNPKMjmbmBeWsZWDnUYrYYOKMjbNRBUl2BGiXUmwI0QdZdNFlPID\nHcX8MjudHf50cl1inZalBc9t2IzirRqlExtAJBHczdd0itKNrWWl8w5Rd+pA0aMHRwA4a3XjBDtm\nxZwdTTI7QrQtCXaEqKPyfh1FKm6RmGFvxnQ6OiIoFAZgO3InvRWFb9DJJsjsWEGwozRDMjstLF2R\n2QnL2FzH4/jRcQCWr2qcYKfUeloz0WwZvixEu5JgR4g6qtyvs7g7Nq9jDV3Hwx/kOD4hm29bjeN4\n6IBCzdh6upTZaYBgJ5ryO3N5ugQ7rUopRaaiQYERzNgZ6B/HdTx6FiVIJCOn+hY1VWo9rZtojmR2\nhGhXEuwIUUeVwc6irrkNE63k+bEOExLstJxszr8489DQ9enfqu0g2LHq3HYaIBK0IVaaIXN2WlS+\n6OJ6igRBN7Ygs3PsYDhfp6dua5uOYehoGihNR3Odei9HCFEnEuwIUUeZijK2RV3zy+wAoIeZHblr\n2Wqyef/ibKYtWcpxcEZGQNOw+vpqt7AZhHt2XN2iWJDXYyvK5PwgJ6X5r80w2Dl+zC9hW3F2V30W\ndgqm6b9Haq5sbhSiXUmwI0QdpSfyQJjZmX+wowWtVTMZubhsNfngwlJp03/eGR8DpTC6uiZNsa+X\ncKioq5l4eck0tqJ03n9NJlRQxhYEOycH0wAsWpqqz8JOIWw/rc1420AI0eok2BGijiaVsXXPv4xN\nN4JgJyvBTqvJ5oKyG336aMcZ9UuHzO7GKB0yTR2UwtNNvHy+3ssRVZAOAvC4Kg8VzedsMukipqXT\neRrvYdVmBft2dAWekoBHiHYkwY4QdVQuYzu9zI4R/CHP5aTTUKvJF+Ya7DRG9ytN0zDw9+qoggQ7\nrSgMdqIVc3aGg6xO76IkmjZDGrKOwlk7GmDb0hJdiHYkwY4QdeK6Hpl0EYXCBvo65x/smMEf8nxW\ngp1Wkw/27GgzBDvuqD/XxOxqjGAHwAyCHWnz25oyQbYx4vg3afR4gpNDGQD6ljReCRuAFfHLK3WQ\nLoFCtCkJdoSok2zavztqA53JCBFr/vsuIlH/mEJBOg21mvA51YzmyOwAGJp/51yTafUtKczsmGGw\nk0gwHAQ7vYuTdVvXqYR7yXRNJ1+QIFyIdiTBjhB1kh4/s+YEANHgD3lRgp2WEwY7M7WdLgU7DZTZ\nsXR/T4TuuLI/ogWlc7bfFKMYZnbipTK2vgYNdsJZO65mUshKeaUQ7UiCHSHqJF2xX6fvNIOdWNwC\nwC5KeUarCZ9Tw5wh2Bnzgx2jgTI74VIt5cn+iBaUydlYykFTHlokgmaanDzR4GVsYbCjmxQyuTqv\nRghRDxLsCFEnlcHO4tPsYhQGO65cWLacYjHI7MwU7DRgGZsZVGJaeLI/ogWlczZRr9yJbXw0h2N7\nJFOR0ntRozEt//fH1UyKOcnsCNGOJNgRok4y4+WBoqeb2UkmgmDHkQvLVmMHwYI5S2anUVpPA1jB\nAEdTKQl2WlA6ZxNzKzuxBft1GjSrA5MzO8WsZHaEaEcS7AhRJ5Nm7JxusJOMAKAc2R/RasIy+4uo\nBgAAIABJREFUtvDOdCXPtvHSaTAMjFTjXGiGazWQYKcV+ZkdP9jR4/FSc4JG3a8Dk/fs2JLZEaIt\nSbAjRJ1MKmPrOr0ytlTKD3bwJNhpNY7jlyZa03Tpc8OsTlcX2gwNDOohXKuBtPltRZm8QywMdipm\n7DRysBPO2XF1E1eG3QrRlhrnr6QQbSY9Ue7G1nsaM3YAOjuiAGgS7LSccB+WOU2w04id2KA808QA\nirKPrKW4nkeu4EwaKNroM3Zg8p4dJ1eo82qEEPUgwY4QdeA6HrmMjUKRTFpYM+zLmE1XEOzoKDxP\nLi5biev6z2ckMnOw00id2KAc7GhoktlpMeFA0U7Df169aJKxkRy6rtHdl6jn0k4pzDZ6uoUjmR0h\n2pIEO0LUQSbt32G0gUU9p3+hEItZeICORi4vs3ZaiRuUsUWCWUqVGrETG1QMcESjKMFOSwkHinbo\n/vOaNjsA6O5LYBiNeylhVjQo8AqS2RGiHTXuO5QQLWwhmhOEPL8BFuMT8oe8lXiuX5oYnS6zM9aY\nZWyRmL+HTNN0CjL7qaWEwU4S//8nlH+TppH360BFNzbNxCtIZkeIdiTBjhB1UNmc4EyDHaX50c74\nuAQ7rUQFZWzRaTI77mjjtZ0GsBJBwwxNythaTSYIdhJBsDPm+M91b4MHO6U9O7qJKhbrvBohRD1I\nsCNEHaTHy80JFp1mJ7YSww920hn5Q95KVNB0Yrpgp1HL2CJxfw8ZmiHBTosJMzvxYKjoWN7PmDRy\ncwKo6MamSbAjRLuSYEeIOshMlAeKnmlmRw/q5TMS7LSWINiJx6YJdsZGgAYMdhL+a1lpOgXpxtZS\n0nk/yIl6NgoYzfivz0YvY6vcs4Ps2RGiLUmwI0QdLOSeHT0o08gGd15FiwiCndh0wU6DlrFFkn6W\n0tNMaVDQYsLMjuUUKBpxCrYiEjVJBh0hG1WpG5tmgi03hIRoRxLsCFEHE+PlbmynO2MnFN65zGUl\n2GklWjA6KRG3Jn3cKxTwslk000RPNtZd9WjSfy17mkGhKN0BW0m4Z8d0CqSjvQD0LUmiBXsGG1Xl\nnh3NkWBHiHYkwY4QdTAR7NmJpyKYZ9i2NaxJL+Ql2Gkl4SVk/C3BjjM2BoDR1dVwF5pWzF+rKzNN\nWk46mLNjFPOkI375ZN/ixt6vA5O7sWm2vEcK0Y4k2BGixhzHpZh38FD0nGEJG5TnsBQKcie9VXie\nh46f2kkk3hLsjIb7dRqrhA0qLix1Eyebq/NqxEJK52xQCq2QIx0pZ3YanREMbPZ0E82VYEeIdiTB\njhA1FjYnONOBoqFosKfDLsgeiVZRKLpoaHgoLHPynB03yOw0WnMCACsSlAxpFp5kdlpKJm9jKhfN\ndUnH/GCn0dtOA2iahhH+CrkuSqm6rkcIUXsS7AhRYwvZnAAgHveDHUeGOLaMbLD/SjG1TK2U2Wmw\ngaIAuq6jKxc0DZWXzletJJ2ziXo2HhoZqwto/E5sISvI7miu4thwts6rEULUmgQ7QtRYZbDTtyDB\njj/cz3Ek2GkVuWAzuJpmS06jztgJGfivQ1WQzeCtQilFJmcT9YpkI10oTaezO4YVmdopsBGF5ZWG\nBq8eOFnn1Qghak2CHSFqLD1RDnYWn+lAUSCZ9Pd0KEfKM1pFNh8GO9Nldhqz7XTICNvIyQDHllGw\nXRxX0aHZpCP+664ZmhOEwo6VuoJXDgzXeTVCiFqTYEeIGksv4EBRgFTKn3OhXBni2Cry+SBLN807\ntDPmBztGV1cNVzR3pha8DqXzVcsIZ+x0mR7pqB/sNMN+nZAV7GuM4nLojePYkgUXoq1IsCNEjU2M\n+Ru3HTR6Os98IF9Hyi9jC4dQiuaXCzI7mj71LbqRu7EBBDfR0Vy5oGwVmaDtdIfuljM7TdCJLRSW\n23mayVkTR9l3ZKzOKxJC1JIEO0LU2HgQ7MSSFsY0F7Pz1dnhZ4d0iXVaRjFoI67pU8vY3Abfs2Oa\n/pol2GkdYWanQ3cqgp3mK2NzdZO12WOyb0eINlPT3YW2bfO5z32OY8eOUSwW+eM//mPWr1/PZz/7\nWXRdZ8OGDdx5550NNyhPiIUUtp7u6j7zEjaAjo4ICoWBhu24U1oVi+aTzwfBjjH5vdDL5/HyeTTL\nQk+cedvyarCCNRuewnG9Mx6aK+ovDHbieAxbKQxN0dl95vsNa6VysOja7DF+/PowN737nDqvSghR\nKzX9K/Sv//qv9Pb2smPHDh588EG+8pWvcO+993L77bezY8cOlFL84he/qOWShKgp23Zxiq4/ULRn\nYS4WDF3HC1oUj09Iu99WUAzaiBtvCRTC/Tpmd3fD3hSyLH/NBoqCLdmdVhAGO7ryn9vOmIc+Tdax\nUZnBa1IlOuhwc+SPHmU0Le+VQrSLmgY7V199NZ/85CcBf0K4aZrs2rWLyy67DIB3vOMd/Pa3v63l\nkoSoqcq200u6F+7OvBdcd0xIsNMSikGQoJtvCXYavBMblEuGTBQFmf3UEjJBsOMqvxikJ9U8gQ5U\ntJ5evhJAStmEaDM1DXYSiQTJZJJ0Os2nPvUp/uzP/gzP8yZ9fmJiopZLEqKmMhMLO2OnRA8zO9Lu\ntxXYwZ4dY4Zgx2jAgaIhKxK0+UWTzE6LCDM7tuc3Q+npsuq5nHkzw9fkkuUArM0d49U3JdgRol3U\nfCJYf38/n/jEJ7j11lu57rrr+PrXv176XCaTobOz85TH9/QkMJt8T8LixR31XkLTa9ZzePSAf7Fq\nA+es7l2wn0O3DHAdNE2b8/ds1nPYSKp1DsMStXjCmvQYRScHQMfyxQ37/KU6Y3A0hw4kUrFZ19mo\nP0ezqeZ5DEd45fFv0Kxa1d1Uz1t3sL8osWIFAKtyAzxxYIi+vtSkcrxm+pmEEHNX02DnxIkTfOxj\nH+POO+/kyiuvBGDz5s387ne/4/LLL+fJJ5/kqquuOuX3GBnJ1mKpVbN4cQdDQ5K9OhPNfA77j/nB\nThGwUAv2c4RduwYGJ+b0PZv5HDaKap7DbNbP0CmY9BhjR44DYEeSDfv8hYNQNXQGBifois58c0pe\nhwuj2udxeNQPsjP4QUMsaTXV81YIMqXpgkfP2WfDoUN0njjC86/2s3qZH+BU8xxKECVEfdU02Pn7\nv/97JiYm+MY3vsE3vvENAD7/+c9z9913Y9s269ev5+qrr67lkoSoqfFRv+20rUF36sxn7IQMy0Bh\nk8vJIMdW4Nh+eW+416D08bHGbjsNYEUjQBZNkzK2VpHO2UTxu5lFnCyJnua6eA9LKx3bI3H+BRQO\nHWJt9hivHBguBTtCiNZV02DnC1/4Al/4whemfPzhhx+u5TKEqJvR4A5pNGEtaDcjM2JgA/msBDut\nwHWCYCfylmCnwWfsAETiwZBbTZcGBS0ik7MJe0emiiMN2/Z8JmHTDNt2SZ6/hZGf/Ttrs8f47YGT\n/Ler1tR3cUKIqpMBCELU0MS4n9np6FzA5gRAJCgVCss1RHPzgmAn8tZgpwkyO5F4kLHUdMnstIh0\nZbBTGMFosmAnbIfuFF1i689Bi0RZUhzl2Jv95IvynilEq5NgR4gaymf8zMtCzdgJRaN+krYowU5L\ncN0w2Ckn35VS5W5sDdx6OpL0A3mFQdHxZvlq0ehczyNbcEgGTQpSzhhaJFLfRc1TZWZHtywSmzYB\nsDp9lL2HRuu5NCFEDUiwI0SNFAsOnuPhoVjUu7DBTizut4K1pWyoJSjXv7KMxcqZHS+fRxUKaNEo\nemxhM4MLKQx2PN2QMrYWkMn7N1CSQdVtp5Zt2IG2Mwn3voV74RLnbwFgTfYYr8i8HSFangQ7QtRI\n5YydxQs4UBTKwY5ry530VqCC+WPRisyOOzoCgNnV3dAXm2EZm6eZFPMy96nZZXI2OmChoSmPTqv5\nAtjKzA5AMgh21mb7eeWN4bqtSwhRGxLsCFEj6YpgZ1H3wt6ZTyaCYMdpvgsRMZXywsxOeXhjMzQn\ngHJTBVe3cHLNPSpA+Pt1YoCGRqI4hplo3KziTKxIsGcnCHaspcsw+/pIeAXoP8KJoHGMEKI1SbAj\nRI2kxyuCna6FLWNLJP0aehVO/xPNLUjQVZaxNV+wY+Lk8nVejThT6ZxNmIdOFZuvOQGUMzuFvINS\nCk3TStmdddljvPKmlLIJ0cok2BGiRsaCu4eOBl2phd3g2xF+P0+CnVagKf95TMSnyex0NUmwo1m4\neblj3uz8Tmx+2WQztp0G/2ZQsiNCIe/Qf2TM/1iplO0Yr8q+HSFamgQ7QtTI8LBf0hOJW+gLvOei\no8PfJ6FJsNMStOBpjFcGO2NhJ7bGDnYMQwel8HQDJ1eo93LEGcrknHJmpzCCHm++YEfTNDZuWQbA\n3p3HAUhsOg80jbPyg+x/fbDUAVEI0Xok2BGiRsbH/JKexAJndQC6gmBHR+F58ke72Wn40U4yXn6t\nlMvYGrftNPgXlgbB3rG8lLE1u4lscdJAUSO+sCW4tbLpAj/YeW3PIHbRwUgmia1bj4FiydgR9h+W\nFtRCtCoJdoSokWzav8vd1b3wFwvxmIUH6Gjk8jJrp5nZjouOhkIRiZTfot0mGCgaMjQ/4HYLdp1X\nIs5UJl3Awg9go06mKcvYALp7Eyxb2Ylje7y+ZwiAxHnnA34p2/N7B+u5PCFEFUmwI0SN2Dk/CFm0\nqDoXC15QGTc+IaVDzSyb9QMEDw1dL79FOxWtpxudGdbhFaT1dLPLBBnppF5Ag6YNdgA2XbAcgD0v\n+6VsyS0XAH6w84IEO0K0LAl2hKiBQt5BeQoXxeK+6lwsqGAf0Pi4BDvNLJvzgx1Vsa1LKVVRxtZV\nj2XNi6n7wY5yJMvY7IppP2BNaf6ew2bsxhZav2kxpqXTf3iMsZEcsTVr0eJxeu0JBl4/RCYvmUgh\nWpEEO0LUQHrCvztajYGiJYZ/dZzOyN30ZjZ0wr+oVBVNLLxsFmXb6LEYeqzx90yYwWtRk2Cn6XlB\nRrrTSwM0ZYOCUCRqsu7cxQDsffk4mmGQDErZVmeOsfvNkXouTwhRJRLsCFEDlTN2FndVZyifbvi/\nzhkJdpraKy/3AxDtipY+FmZ1Gr0TW8gyg0DNle6AzU4PBnF2Ov5rsJnL2KDcqGDvK8fxPEXivLAF\ndT+vSAtqIVqSBDtC1MDoSDhjR6MzufDd2AB0y/91DsugRHMaPjoOwLqNi0sfc8aaoxNbyApei5rn\n1nkl4ky4rkckaO7YmR8GwGjizA7AirO76eiKkR4vcPTgCMnzg8xOrp9db5xAKQnQhWg1EuwIUQND\nJzIAmFEDbYFn7ITCKeG5rAQ7zer4wASG7eIBV162svRxt0kGioasiAmArsCTi8emNTSYRgcKgJEP\nytiaPLOjaVopu7Pn5eNYixZjLV1GzLOJDh7h+MlsnVcohFhoEuwIUQNhZidehRk7oXByfV422Tat\np585goaGSph0pCrL2IJObE1SxhaJ+q9FHSjakt1pVv3H/CyjbWi4Wf89rNmDHYBzg2DnwL4TFPI2\nyfP9UrZ12WO8KqVsQrQcCXaEqIF00A66o7M6+3WgfIFZLMim8GZ1JLjQWrFmcrma02yZnWiQ2UGj\nYMuQ22Y1NOBnc4joqEIeNA09Gj31QU2goyvGWau7cR2P13YPkgiCnTXZY7JvR4gWJMGOEDVQCErL\nenurd1c0GrMAKBbkTnozymaLkPFfJ5dvWznpc04TDRQFiET916KGRkEyO01rJCi/jQTxjR5PoOmt\ncdmwaWswc2fncRLnbgLDYHlhmDcPHMd2JEAXopW0xruWEA1MKYUbZFuWLklW7XFicf9uuluUi8tm\n9PRzR9EB29RZuWLyLJ2m68YW88s1NU2jKK/HpqSUYnzY37+SjPr7rpp5xs5brd24iEjUYLB/gtG0\nS+fmTegolo8f5bWjY/VenhBiAUmwI0SVFfIOmgIXxZK+6gU7ibh/gek4cnHZjF7b409w713RMeVz\n5T07zdGNLRK8FtF0yew0qfHRPE7BxUbRFfUzHXq88Wc8zZVlGZyzeQngZ3d6Lr4IkH07QrQiCXaE\nqLLMRMWMne7qXSwkk37pkHKk+1WzcT2P/El/A/jWC1dM+pxSCnfMv9NsdnVNObYRRRJB3ZMEO03r\n+BH/NZcGOnQ/M90KzQkqhY0K9r16nI6tFwLBvp03TtRzWUKIBSbBjhBVNhyUgjiaRkfCqtrjpILu\nXcqVevNm8/KrA5gKbA22bF486XNeJoNyHPREomk2h0cSfiMOpRkS7DSp/lKwo0jQmsHO0hWddPcl\nyGVsjhcT6KkOupwsmSNHGc/KcGYhWoUEO0JU2cBgMJ8iUr0ZOwAdYVtrTzI7zeblnf0AxPsS6G/Z\nAN5sbacBrCCz42kmhaK0Qm9GYWZnAkgo/zls9oGib1U5c+elZ4+UBoyuzfaz79BoPZcmhFhAEuwI\nUWUngyF10SpmdQA6O/y76brEOk1npH8CgI2blkz5XLntdHPs14FyNzZXN7GzhTqvRsxXPmczMpxF\naZAFYp6f5Wi1zA7Axi1L0TTY9+oAxga/BfXa7DF2Hxqp88qEEAtFgh0hqmx8LA9AsqO6JUgdHREU\nCgOwpUlB0zh0ZAzLUbjA5dvOmvL5cie25tivA+UBt65mYWdkIn2zCbM6jqWjgIjrBzut1I0tlExF\nOXtdL56nOKr7NxvOzh1n/5uyb0eIViHBjhBVlsv4FwrdPdXtZGToOh5+mdz4hNxNbxbPPHsEAD0V\nIR6bmv0rlbE1yUBR8DtdQZDZyeXqvBoxX8eD1svDtv+OksAvY2ulbmyVzr3An7mzf/8Y1sqVWMrF\nOPImYxnZtyNEK5BgR4gqc/L+5t7FVWw7HfKCLUETEuw0jf6DfjCzal3vtJ8vDxRtnjK2UmZHt3By\n+TqvRsxX2JxgXHmsXtaBafvvJ61YxgawZkMf8YTF8FAG+5yLAb+Uba+UsgnREiTYEaKKlFJg+93R\nli9PVf8B9TCzI3ckm8H4RB4tZ6NQXHH5qmm/prRnp4kaFJhhZkczcSXYaSqO4zIY7CFLA+ev7cXN\n+aWIrVjGBmAYOhdcuhKAI5ZfSro2e4w90qRAiJYgwY4QVZTL2miAg2LZouoHO5rh/0pnpPyiKTz1\nuyPoaLgRgyWLps/8uWPNF+zouoauXNA03LwEO81k6Hgaz1XYhoYLbFnbi5f1gx29xbqxVbroMv9m\nw5v9Dp4VZWlxhIP7j9Z5VUKIhSDBjhBVdGI4A4CtaSRjZtUfTzeDYEdmRDSFA/v9TdCLVs7cfKAZ\nMzsAhuZnNL28lFQ2k7A5wYjrEY0YrD+rCzcMdlo0swOw7KwuFi1JUcg7jK2/HIDEsdcZkZJgIZqe\nBDtCVNHx4/6MHc3UqzpjJ2RY/q90LiezTRqd43gUR/2sx8UXT+3CBqA8D2fMv/g0mqhBAYCh+T3Q\nvYIE3s2k/3A4X0ex+eweTEMvZXZatYwtdO5Wf+ZOf2INEOzbOSz7doRodhLsCFFFYWYnEq/ujJ2Q\nGfGzR/msBDuN7vmXjmECtg4b10/fnMBNp8F10ZNJdKs2r6GFYgQDn7yiU+eViLlSSpU6sYX7dQC8\nXOuXsQFsOG8Juq5xfMKgYMRZm+tnz5sS7AjR7CTYEaKKxoI79/FUpCaPF4n6G8MLBbnAbHS7XjkO\nQGpxEl2f/q241Ha6iTqxhYKKSpQjr8VmMTKcpZB3sIEisGVdL8rz8IJ9V63aejoUT0RYta4XpWBo\n0SaSbp6hPa/Ve1lCiDMkwY4QVZQZ9+u9O7tiNXm8aNTP7BQl2Gl444N+1m/T+ctm/Jpm3a8DYIbR\njuPVdyFizsL9OuMoFnXFWNIdx8vnQCn0eBxthqC8lZyzaTEAJ3o3AtA5cED27QjR5Fr/nUuIOioE\ne2d6e2tT/hELyuXsoluTxxOn5/UDJ7FchQtsu2j5jF/nhsFOk+3XATCD/WO4Euw0i3C+ThrFlnV9\naJrWFp3YKq3ZsAjD0Bi24xSMOOuyx9hzUErZhGhmEuwIUUVeEHQsXVKDGTuUgx3XlgvMRvbsc0cA\nMDqjRCIzd+lzmrDtdCgSzNrBU/VdiJiz40cq9uus8ffrtEMntkqRqMnZ6/oAGEitYWVukH1vDNR5\nVUKIMyHBjhBV4nkeenCht3JFR00eM5kIgh1HMjuNbDDoeLVmQ98pv66Zy9jC/WOakmCnGWTSBcZH\n87go8mhsXu3vE2uXTmyV1m/2S9mG+s7FwGNi1+46r0gIcSYk2BGiSk6czKIDDtDVUZs9O4mk3whB\nOXKB2ahOjuYwCg4KxVXBIMOZhJkdowkbFERiQfc45Xf5Eo2tMquzbmUniWAumJfLAa3fnKDS6vV9\nGKbOqN5N3kjQO/Qmw2MyHFeIZiXBjhBV8twLxwBQVu1+zTrCrm9SOtSwnnr6EBoabsyku/vUF5Cl\nzE7XzENHG1U05r8WdTQc2bfT8Cbt11lbboXebmVsEJay+edgMLWatdlj7Dkk+3aEaFYS7AhRJa/t\n9FsLr5ylVGkhdXREAdAk2GlYB18fBmDZqtlL05q59bQVzpbSdAqyh6zhhZmdCcrzdaA8Y8dokwYF\noXM2LwFgoGMdffY4B/a8Wd8FCSFOmwQ7QlTB8zv7MW0PF3j/ezbU7HG7gmBHR+F5coHZaApFB3e8\nCMCll6085dcqz8Md8y9AmzGzEwkyO2gaBekO2NDsosOJgTQKhYoarF3WWfqc14aZHfBL2UxTZzy2\nmLyZJL97V72XJIQ4TRLsCFEFv/vPNwFILk+RStZmoChAPGbh4ZcO5fIya6fRPPv8UQzANjTWnX3q\nbI07Pg5KYXR0oJkzd2xrVJFEsE9NMyhKw4yGNnBsAqUgC2xa24eua6XPuW3YoADAihisPsfPyg+m\nVrNk+BAnRnN1XpUQ4nRIsCPEAusfmMAdy6NQ/P57zqn543vBdcq4DMJrOHt2DQLQtWz2VuTN3HYa\nIJL0gx2lGeSLEng3sv6KErbK/TrQvpkdgPXBgNGB1FrW5PrZ/eaJOq9ICHE6JNgRYoE9/vh+dDRI\nRVm9svYXqkrzo53xcQl2GonneWSGMgCcf8HMg0RDYXMCo6v59utAuYzN00yKuWKdVyNOpf+w/1p7\na3MCaM9ubKGz1/dhWn4pm9IjHH1pb72XJIQ4DRLsCLGAcnmbsSPjAFxy5anbCleN4Qc7Exm5wGwk\nr+wewlJ+K/KLtiyb9eubecYO+GVAAK5uUshk67waMRPP8zh+1H/PSvTE6e2c3CbfDRsUJJI1X1u9\nWZbBmopSNu+1XdJGXYgmJMGOEAvoiV++jgnYpsbll5xVlzXohv9rnZVgp2F4nsev/2MfAIklSUxz\n9rfecie25mtOAP6FIoCrmdhZ2evQqIYHM7iORx7FeesXTfl8qYytzbqxhdZvCrqypdaybOQwQ7Jv\nR4imI8GOEAvE8zwO7BoAYO15S9H1+vx66cFcn0xWgp1G8djj+zELLg7w3//P8+d0jBvu2WnSMrZy\nZseSYKeBVQ4TPf8tJWzQ3nt2AM5e14tl6UzEFtHj5Nm7v7/eSxJCzJMEO0IskGdeOIblKBzgvb+/\nvm7rMIM76vmcbApvBKNjeV5/0b9AWn3BUvp65nbR2CplbI5u4uQk2GlUhw/6GcSsBueePfW11q7d\n2EKmZbBmg5/xGkqtZuiFnXVekRBiviTYEWKBPPdfhwDoWtlJPGbVbR3hRWY+b9dtDaLsBz94GVOB\nE9H5b9ecO+fjmj7YscqZHQl2GpNSimOH/cxO3/IOosFzVvn5cKhoOzYoCIWlbIOpNehv7JV9O0I0\nGQl2hFgAB4+MQrqAQvHe99ZuiOh0IlH/gqVYkMxOvb28a4DCoD+s8d3XnIsxj9LGcM+O0d2cZWy6\noaEpD6UZONl8vZcjpjExlsfOO9gozts4db+OKuRBKbRoFM0wpvkO7WHVuh4sU2Mitoi+zEkGTkrD\nDSGaiQQ7QiyAX/7iNTQ09M4YK5Z11HUt0SCrVCzIIMd6cj2P//XYXjQ0oktSbNm8dM7HKtfFnZgA\nTcPs7Jz9gAakaRq65gHg5KQNeiPqr9ivs2Vt35TPt3sJW8g0DdZs9Gfu5OJL2b/ztTqvSAgxHxLs\nCHGG0pkimf40AJe/bU19FwPE4iYAblGCnXr695/uxSp6OBrccMMF8zrWGR8HpTA6O5v6jrqBX+7z\nxsFh/uZ7L/LkS8dI56S8slG8/towAI5lsGrJ1EG37d6JrdI555W7so2+9FKdVyOEmA+z3gsQotk9\n/ovXMADb0rlk6+zDIqstEfeHOTqOBDv1MjyS5eArA5jA+ouW090Vm/WYSm7YdrqrOffrhCwTig4Y\nnssrb5zklTdO8s+P7WXz6m62bVrC+65aW+8ltrVjwTDRZSu70IJhxJXcNu/EVmnVml5MXZGO9tJz\n1N+3M905E0I0Hgl2hDgDnudxeO8QFnDOBbMPiqyFRNIvY1OObKKtlx9+/2VMwIkaXP2++e/havbm\nBKGIqZFx4Pc2L2HT1nN5du8Qu98c4dXgfw//xz7OXeUHPpduXExnMlLvJbeNQt7Gzth4KLZuXjzt\n13hSxlZimDprz+ll/74RdOL0D46zYmlzzsASot1IsCPEGfjt04exXIWjwXvfta7eywGgIxUFQLle\nnVfSnp7f2Y897F8kvv+6zac1b6lVgp1weGrhwAEuPmcpb/vAReS0CC/sG+LZvUPsevMkuw+OsPvg\nCN/5j71ced4ybnnvBlLx+nUzbBeHD/qvsQxwwTTDRIGKTmwS7ABsuHAl+/eNcCK1mgO/e4kVH3hH\nvZckhJgDCXaEOAMvPnMEA+hd3U0k0hi/TqlUcHfck8xOrTmOx2/+Yz8WGvEVHZy7YfqLyFm/z1jQ\nia3Jy9iiqTikC+SHRzj+7W+BYZA873y2XnoZ/9u1F5NaejlPPPUmz+4Z5JUDJ/mvV4/z6psn2f7+\njVx67pJ6L7+l7dkzCICesGbMqLlBy3A90b5tpyutXNODgUsm2sPIq/tBgh0hmkJjXJ0W3sJ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QnVIWKJmtNND+d3kR49IOpC+uXp9bg6nPP5fM/n+x4bvM77c77fJUuWAJCdnU1hYSHr1q0LOp7P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\nIiIh6X/Yb5NtUvPSUAAAAABJRU5ErkJggg==\n", 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mV2gPr21dzmtbl1NoFWH1GEw0Xp7V9yQiIiIiIpmR12EnVdlJdGQbUFkCNL/X\nzuv/2sayd7fis0yOG9qVN3ZDgVUAeOuABpT1Y0BZP75x2DlsqdnGql1reHvnu+wM7sbXaxPRnUOz\n/K5ERERERCQT8rZBAVCvQYEXdvrV22vHcd1Gz9+yu5Z5L3wAwHe/cjgFhd7jBVbjjUQNw6B/WV++\nftjZXHbs97wHzbg2FRURERERyROdIuwk1+yUFweoKAkQidnsPhBu8NxwJM79T60hGnM4+ejejB7W\nh4gdAQ4eduoLJI4blq01OyIiIiIieSKn09hisRjTpk1jy5YtWJbFz3/+cyzLYtq0aZimyZAhQ5gx\nYwaGYbTqelZizU68qir1WP+epRz4ZC+bd9bQs0sRAK7rcv+T77JtT5C+PUqYePYRGIZBxI4CrQg7\nZuK46RCNqRubiIiIiEg+yGll5+WXX8a2bRYuXMiPf/xj5syZw8yZM5kyZQoLFizAdV2WLl3a6uul\nprEl1uwA9E+u26nXpOCV1dt46a3NBPwmV1xwDAUBr410XWWnoNnXSVZ2vGlsCjsiIiIiIvkgp2Fn\n0KBB2LaN67pUV1fj9/v597//zQknnADAaaedxuuvv97q66UaFFQdwHW8EJLqyJZoUrBpRzWP/t+H\nAHzv7KH061GSOj8Sb11lx2/6MDAwTJe4HcdxGq8HEhERERGRz5ecTmMrLi5my5YtnHPOOezfv5/f\n/OY3vPnmmw2OV1dXt/p6pj+AWVyMEwzi1NZilZUxINGk4NNdtYQice5/+l/EbYezTxrIycf0bnB+\ntJWVHcMw8Ft+onbUm8oWtykM5HUjOxERERGRTi+nv7E/8sgjjB49msmTJ7N9+3YmTpxIPB5PHa+t\nraW8vPl9bLp2Lcbns1Jff9qtK6FgkDIrTkllGV26FmOaBrv2BZn3fx+yc1+IQX3L+X8XHEuB32pw\nrTjea/ep7EpleVmzr1vkK/DCjhWnvKKYitLmA1JnVVnZ/H2Slukepk/3MDN0H9One5g+3UMRyaac\nhp2Kigp8Pu8ly8vLicfjHHXUUaxYsYITTzyRZcuWcfLJJzd7jX37gg0fKPH+I7lrw1aCxV0B6N2t\nmK27a1n+7+0UBiwu/dpRFPgtdu1qWDUKRkMA1FbF2RVpvqLkM7xxG6bD1u0HiFYUte5NdyKVlWWN\n7qG0je5h+nQPM0P3MX26h+n7ItxDhTmRjpXTsPP973+f6dOnc9FFFxGLxbjmmms4+uijuemmm4jF\nYgwePJibwGIdAAAgAElEQVRzzjmnTddsqknB1t21APzg3CPp1a34oOe2thsb1G9SYOe0I9u7H+3m\nX5/s5dtnDsbvs1o+QUREREREgA5Ys/PLX/6y0ePz589v9zWtii4AxA/sTz12xCFdWfHeTsYc358T\nhvY86Hmu66bCTqq1dDPqh51YDjuyPfv6BtZvrWJAz1JOG943Z68rIiIiIpLv8n6Vva+8cWXn9OF9\nOXxAF/p2P3hFByDmxHBx8Zs+LLPliknA9APexqKRHG4sWhuKAfDq6m0KOyIiIiIibZDT1tPZ4KvX\nfjrJNA369ShpdnPSuilsrWs0UFB/Gls8h2HHrsEs3cdHWw6wfW+w5RNERERERAToBGEntddOvcpO\na9RtKNryFDaom8ZmmDaxHK3ZcV2XWO93KThqOWb5Hl5bsy0nrysiIiIi0hnkfdg5WIOC1mhrZSe1\nrse0ieSoshONOxDwqjm+3ht4/V/btaGpiIiIiEgr5X3YaX9lp/Wd2KBegwIrnrNubKFIHCxvLyCr\nyy72x/by7w17c/LaIiIiIiL5Lv/DTkkpmCZOsBYnFmv1eXXT2FpZ2bESDQpMh2iOGhQEw3EMq27T\nVV/Pjby6WlPZRERERERaI+/DjmGaWOXlANhVVa0+L9V2uq2VnRy2nq4Nx1KVHQCrcgurPt5KTaj1\noU5ERERE5Isq78MOgC+1107rp7JF4m1rUFC/G1uuWk8fCAUxDDBcH0O6HIZh2bjdNrN87Y6cvL6I\niIiISD7rJGEn2aRgfwvPrNPmNTv19tmJ5qiycyBcC4Dl+jlzwKkA+Hpt5JU1W3Py+iIiIiIi+axT\nhB2rvPFeOy1p+5qdetPYctSgoDqc6MRmFHBsj6PoXtgVszDE5vB6Nu+syckYRERERETyVacIO+1p\nP93ebmxGDltP10S8sOM3ApiGyen9TwG86s6r2nNHRERERKRZnSrstGnNTrKy42vtPjveNDZMO2fd\n2GpiIQAKTG+MJ/c5Ab/hx6rYw+sffUjczk2FSUREREQkH3WKsFO310721uyknmflrhtbKBYGoDAx\n1a7YX8RJfUcBEKn4mNUf78nJOERERERE8lGnCDu+cq8bm52DNTtGDis7oXgy7BSmHjszMZXN6rGV\nl9dsyMk4RERERETyUacIO1a7prG1b80Opk0kV5WdRNgp9teFnV4lPTm8YgiG6fB+zbscqI3mZCwi\nIiIiIvmmU4Sd+g0KXNdt1Tl1Yae1a3Zy340t6njVp+JAUYPHxxx6mjeUnpt4TW2oRUREREQOqlOE\nHbOgALOwEDcexwkGW3VO3TS21lZ26u+zk5tpbFHHC2SlgeIGjx/ZbQgVvq6YBWFe/uStVgc8ERER\nEZEvkk4RdqDtU9naWtkpqDeNLVdrduJ4gaysoGHYMQ2T/0pUdw4Uf8CG7dU5GY+IiIiISD7pNGHH\nl9hYtLVNCiLxtlV2/InW04bpEM5Z2IkBUF5U3OjYyX1HYbkBrLL9/G31mpyMR0REREQkn3SasGNV\neB3ZWlvZibaxsmMYRmqvnbgTa8cI2yYWt3FN73XKPrNmB6DQV8DxPY4D4F/VK4nlaGqdiIiIiEi+\n6DRhp65JQev22ok4bevGBnUd2aJONOvrZIIRG8OKA97+Ogdz3uFngAtul6289t7GrI5HRERERCTf\ndLqw05rKju3YxJ04pmHiM32tfo367afjdnY7sgXDMUiEncImqk89irrRx38YhumyZMNrWR2PiIiI\niEi+6TRhx0qs2Ym3Ys1OsjlBwAxgGEarX6N+2Ilmea+dUL3KTqHv4JUdgK8ffiYAe/0fsHN/TVbH\nJCIiIiKSTzpN2Km/105L2tp2OqnArN+RLcuVnUhdZafIV9jk84b1OpwCuytGIMqiNaruiIiIiIgk\ndZqw05bW06m20762hZ3UXjs5aD9dHQpjmA64Bv5mptoZhsFJlV8G4N/Vb+E4udnwVERERETk867T\nhJ32VXZa14ktKTWNzcr+NLYDYW9zVB8tT7X7xtGnQjyAU7ifVz9+L6vjEhERERHJF50m7Fhl5WAY\n2DXVuPF4s8+t21C0rZUd7/m5qOzUJMOO0fIYC/0BujEAgI/2fJrVcYmIiIiI5ItOE3YM08QqKwMg\nXl3d7HPbXdlJ7LNDLqaxRUMA+I3WjbHA9Nb1ROLRrI1JRERERCSfdJqwA+BLbCza0l477a3sFNSb\nxhbJ8jS22pgXdgrM1oWd5Hqi5HsTEREREfmi61Rhp7VNCtpb2fHXa1AQy3br6WgYaP0Yk1PsFHZE\nRERERDydKuz4ylvXpKDdlZ0GraezO40tZHthp7m20/UlQ1HUUdgREREREYFOFnZSlZ0WNhZNrmtp\ndze2HISdcNwLO8X+pjcUra8w0UY75sSyNiYRERERkXzSqcJOcs1OvMU1O+3bVLRBN7YsT2OLON4Y\nS/ytq+wkw07cVdgREREREYFOF3baOo0tjX12slzZiSXCTmlBcaueX5QIRQo7IiIiIiKeThV22t6g\noH3d2HJR2YnjhZayVoadYp8X3BR2REREREQ8nSrspBoUtLRmJ1nZ8aWzz072wk7cdrANb4xlha1b\ns1NU4L0Xm+Y3VBURERER+aLoXGGnS11lx3XdJp8XbWc3tgYNCuLZm8YWisQxLC+0FPtaF3aSa3sc\nQ2FHRERERAQ6WdgxCgoxAgHcaBQnHG7yee3dZyc1jS3La3aCkTgkwk5hK1tPlxZ4z3NV2RERERER\nATpb2DGMVjUpSE5jCyQ2CW0tf/1pbFlcsxMM11V2WrvPTkmBVwFyTYUdERERERHoZGEHwCpvea+d\ndCs72V6zE6pf2bFaF3bKChOVHYUdERERERGgE4YdXxdvrx17f9N77UTSXLNjZHlT0YaVndYFspJA\nQWJsDnE7u22xRURERETyQacLO9ms7DTYZyeLDQpqw7E2r9mxTAvX8f46ayJNr1cSEREREfmi6HRh\nx9fCXjuO6xC1vb1o2lrZ8Zs+wKueRLIYdqrCIQwDLNePabT+r8hwvPEp7IiIiIiIdMawU958g4KY\nE8fFxW+2LUgAmIaJz/ACRTQeTW+gzaiOBAHwGW0LY4ZrAVATDmV8TCIiIiIi+abThR0rtdfOwdfs\n1E1ha1uQSEpOZUvu1ZMNNYmwEzDbNkbT9YJYbVSVHRERERGRThd2fOWJBgVNrNmJxJPNCdq2Xicp\nGZJibva6ngVjXlgJmK1br5Nk4rXGro1GMj4mEREREZF80+nCjtXCmp1MVXZiWazsBOPeNLTCNgYy\nC6+ykwxLIiIiIiJfZJ0u7PjKygCwq6txncZ74dS1nU6vsmMbceyDXD8TwomwUuRvW2XHSlR2Qqrs\niIiIiIh0vrBj+HxYpWXguthVVY2Op1/Z8QKFkcWNRcOOF3aKfUVtOs9nJMJOXGFHRERERKTThR2o\nN5XtIOt2UpWdVm7W+VkN99rJTtiJOF5YKQm0rbLjN72wE85ipzgRERERkXzRKcNOcq+dg7WfTrey\nU5DokOZVdrKz107M8cJKWUFxm85Ldm9T2BERERER6aRhp7kmBemu2UlVdrIUdhzHxcYbY2lB26ax\n+RNhJxnoRERERES+yDpl2EluLHqwvXaiqbCTXjc2zOxMYwtF4+Dz2lq3dc1OQWI9USSLneJERERE\nRPJFpww7VqnXkc2pqWl0LLMNCjJf2QmG4ximF3aKfG1bs5PaA8hR2BERERER6ZRhxyzx1rrYoWCj\nY8mqR6C9YcfMboOCYLiuslPY1rDj96bmxZxYxsclIiIiIpJvOmXYsYpLAHBqDxZ2kpWd9PbZIUut\np4OROIbVvspOkU9hR0REREQkqXOGnRIv7NjB2kbHImmu2fHXn8YWz840Nqz2VXaSYSfuKuyIiIiI\niHTKsGMWedPYnIOGnTQrO/WnsWVhzU6oXmWn0Gpj2ElMY7NR2BERERER6ZxhJ7lm52DT2OKZ6cZm\nZKkbWzASB8sLK22dxlYcSIadeMbHJSIiIiKSb3wtPWH58uX8/e9/Z+PGjRiGwaGHHsp//ud/MmrU\nqHa94IMPPshLL71ENBplwoQJnHDCCUybNg3TNBkyZAgzZszAMIx2XTsptWan2Wls7d1nx5vGlq19\ndmpCYQzTxcDEb7b419NAScALR47CjoiIiIhI05Wd9957j4svvpgFCxbQv39/xo0bx/jx4+nfvz/z\n5s1jwoQJ/Pvf/27Tiy1fvpxVq1axcOFCHn30UbZv387MmTOZMmUKCxYswHVdli5dmv6bKioCw8AJ\nh3HthoEk3dbT2W5QUBX1qlF+Am0Ofcmw4xoKOyIiIiIiTZYOFi9ezL333kvXrl0bHbvooovYs2cP\nDz30EEcffXSrX+y1117jiCOO4Ec/+hE1NTX87Gc/4/HHH+eEE04A4LTTTuO1115jzJgx7XgrdQzT\nxCwqwgkGcUIhrNLS1LH0Kzt109hiWZjGVhsJQRH4zbaPr7RQYUdEREREJKnJsDN16tRmT+zevTvX\nX399m15s7969bNu2jQcffJBPP/2Uyy+/HNd1U8eLi4uprq5u0zWbYhWX4ASD2LW1nwk7icqOL/19\ndiLZ6MYW88JOe8JYWUERAK6Z+XGJiIiIiOSbJsOO67rce++9nHjiiZx88smAF4D69u3LT37yk3a9\nWNeuXRk8eDA+n49BgwZRUFDAzp07U8dra2spLy9v4RrF+HxWi6+1paKM2O5dlBdAWWUZAJWVZUQc\nr7LTv1f3VBvptnCLvLCEaWNaJpWJa2dKNNE2urSguM3X7mYXp8ZW3qWIAn/b1vy0Rqbf7xeR7mH6\ndA8zQ/cxfbqH6dM9FJFsavK34XvvvZf333+f8ePHpx67/PLLmTlzJnPnzuXKK69s84sdf/zxzJs3\njx/84Afs2LGDcDjMSSedxIoVKzjxxBNZtmxZKlg1Zd++xh3WDsZNrF/Zs2UX4S69qKwsY9uOfdiO\njWmY7NsTwjDCbX4P1VEvLBmmTVV1hF27MlOJSqqJeE0VAgTad23HxDAdNm7ZTdfEfkOZUllZlvH3\n+0Wje5g+3cPM0H1Mn+5h+r4I91BhTqRjNRl2lixZwhNPPEFBQd10qkGDBnHPPffw7W9/u11h54wz\nzuDNN9/kW9/6Fo7jMGPGDPr168dNN91ELBZj8ODBnHPOOe17J59hFif22qmt68hWf71Oezu+paax\nZWnNTjgxza440La20ymOD8wo1eFQxsOOiIiIiEg+aTLsmKbZIOgklZSU4PO1f3rUdddd1+ix+fPn\nt/t6TUmGHTtYP+yk14kN6lpPG5ZDOJb5RgBRxxtjib+oXecbroUL1ETaXrUSEREREelMmmw9XVxc\nzMaNGxs9vnHjRiyr5TUzHa1ur526aW/RNDuxAZiGiWV4YS9ZKcoUx3WJud41ywqK23UN0/XGFoxG\nMjYuEREREZF81GTYueyyy/jhD3/I008/zfr16/n44495+umnmTRpEpMmTcrlGNvFSkzhsg86ja39\nlR2AgOlVd2LxzIadcMQGy2tQUORv3zQ2M1Gsq42GMjYukdZyHIcn33mVTXt3d/RQRERERJqexnbG\nGWdgmia/+c1vuOWWWzBNk2OOOYabb76Z0aNH53KM7ZJasxOqq+xkYhobgN8MELJDRJxYWtf5rFAk\njmF5U+OKfO0LOxZ+YkAwmtkgJtIaf/9wNX/fu5i3d6zhtrOv6OjhiIiIyBdcs4tvTjvtNE477bRc\njSWjktPYslLZsfwQq5sWlynBSBySYcdqX9jxGV7VKRTXNDbJvc0HvFbyIaemg0ciIiIi0sw0tquv\nvprXXnutyRP/8Y9/tKsjW66YJY3X7ETiycpO+9fseOd7YSnuZrZBQTAcS1V2CttZ2UmFnZjCjuTe\n/ojXQtYms1VPERERkfZosrJz++23c9999/Hzn/+coUOH0rt3byzLYuvWraxZs4YxY8Ywc+bMXI61\nTcyiRDe2LFR2kufHnOxVdtoddhLricKq7EgHqInWgAm2oWmUIiIi0vGaDDulpaVMnTqVH//4x7zx\nxhts2LABy7IYOXIkv/jFLyj5nO/hYpUk1uwED7ZmJ83Kji9Z2Ynhum679+z5rGA4/TU7yeYJEYUd\n6QC1di2Y4JqZb8suIiIi0lYtbphTWlrKmDFjcjGWjEqt2Qlmo7KTCEumQyzuEPBnphV3qH5lp51r\ndgJmAJzMt8UWaY2I43244JqaxiYiIiIdr8k1O/murhtbCNdxgPphJ73KTt3GonGicSeta9UXzEA3\ntkAiyEUyPMVOpDVieC3PDdMlpI6AIiIi0sE6bdgxLAuzsBBcFyfs/QKWnMYW8KXbjS1xvmkTjdlp\nXau+2nCs3pqd9gWy1HoiW5+sS+45Vjj1532h2maeKSIiIpJ9LYadH/7wh7kYR1aYialsTq03tSZT\nlZ0C0wsUhukQyWDYqYmEMAzw4cc02pdDkyEpqsqO5FgoEgVfXciuUtgRERGRDtbib9ThcJitW7fm\nYiwZl2xSkFy3k6lNRZPT2LDixDI4ja024lWgAmb7w1hRIuzEXVV2JLe2HdjX4Ouqehv6ioiIiHSE\nFhsU7N27l7POOovu3btTUOD9Im0YBkuXLs364NKVbD+d7MiWuTU7yWlsDtFYBsNOzAs76YyvyK+w\nIx1jR83+Bl9XR0MdNBIRERERT4th57e//S3gBRzXdbM+oExKbiya3GsnY5Wd1DQ2m0g8c9PYgnFv\nvUN799iBurBjo9a/klu7aw40+Lo6osqOiIiIdKwWp7H179+ft99+m8cff5xu3bqxcuVK+vfvn4ux\npe2z7aczX9mJE8tgZSeSCDvFaYSd4oB3rq3KjuTYnlBVg69rVdkRERGRDtZi2Lnrrrt4+eWX+b//\n+z9s2+bJJ5/kjjvuyMXY0mYl208nGxTEM1PZKUiu2TEdohms7IQdb3zF/qJ2X6M44AU5x1BlR3Lr\nQLhh2AnGwk08U0RERCQ3Wgw7r776KnfddRcFBQWUlZXxhz/8gWXLluVibGlLTmNzEgulk3vPZKqy\nY1h2xrqxua5LNBF2SgPtDzulBd65CjuSa9WxGgBc1wAgpLAjIiIiHazFsGNZVoOvo9Foo8c+r5KV\nnbo1O8mwk5k1O5h2xrqxRWI2mF5ASaeyU5poIoGRuYqTSGsE497PmRX3PmQI2wo7IiIi0rFaDDvn\nnHMOkydP5sCBAzzyyCNcdNFFnHfeebkYW9pSlZ1gLY7rEE2EnVTr6FZyHYddj/2ZmtXvJs6va1CQ\nqW5swXAcLG+dTXs3FIW6yo5rxvOuoYTkt7DjrdEppsL7OtEQRERERKSjtNiN7dJLL2XZsmX07duX\nbdu2cfXVV3PmmWfmYmxpq2tQECQaTwQds+0bdoY/Wc++F18guO5DSocNrwtLpk00Q9PYQpE4huVV\ndop8aazZSXRj86pONgF/i3/FIhkRwws7XQJdqXG3pD5cEBEREekoLf4mfMUVV3D++eczefJkAoH0\npn/lmllvGls41Zyg7VUTu8prqevU1iSukbgPVuZaTwcjcfB5YacwjTVFlmmBY2KYDrWRqMKO5Ixt\nhTGAXiWVbK6BmKvKjoiIiHSsFksc3/72t3nxxRcZM2YMN9xwA8uXL8/FuDIi1Y0tGKwXdtoe2OJV\n1QDYIe+T6/rT2DLVejoYrl/ZaX/raQAcb01VdUStfyU3QpEY+LxKTp/SSgBirio7IiIi0rFa/Nj/\nzDPP5MwzzyQUCvHyyy8za9Ys9u3bx0svvZSL8aXFrLfPTirstGM9jF3ttdR1QiFc1yVg1pvGlsnK\nTiLspLOpKIDh+nCJUR3RAnHJje1VBzAMF2w/FYWlANhorycRERHpWK2a47Ru3Tr+93//lxdeeIE+\nffowceLEbI8rI6xUg4Jgqg1ueyo7dnV14g82bixGwF+v9XQoQ2Eng5UdEx82EIwq7Ehu7KjaB4Dl\nFFJRmJg+aqiyIyIiIh2rxbDz9a9/HdM0Of/88/njH/9Iz549czGujDB8PoxAADcaJVzrBZZ2rdlJ\nhh28PXt8gS5YWNjYROKZ+fQ6k5Ud0/XCTq0qO5Iju2q9dW0BilJhxzVV2REREZGO1WLYueuuuxg6\ndCg1NTU4TmbWp+SSVVJCPBolnGgy0L7KTt3O8E4oBBVd8Jl+bMcmEs/MIuyG3djSCzuW4SeGNnWU\n3Nkb9H6+Cs0SKhLTR11TG9uKiIhIx2ox7BQXF/Otb32LTZs24bou/fr1Y86cOQwaNCgX40ubWVwC\n+/YRSQSW9lR24vUqO3bQW/TvNwNEnHBqo9J0BcNx8Cf22bHSCzu+xF9rMKZuWJIb+8Pez0ipr4SS\nQAGua2CYDuFYlEJ/fnVxFBERkc6jxW5sN998M5MmTWLFihW8+eabXHrppdx88825GFtGJDuyxaqT\n09jSrewEAVJNCqJ2Zqbq1EQiGKaLiYnfTK9dtM/wxhZW2JEcqY55bdnLAmWYpolhe9/DB0LqCCgi\nIiIdp8Wws2/fPs4555zU1+eeey779+/P6qAyKbnXTqwmuUdO2yo7ruN8Zs1Oov206YWmqJOpNTvJ\nEFWAYRhpXcufGFsorgXikhvBeC0AXQrLAK8jIMCBUG2HjUlERESkxbBTUFDAv/71r9TXa9asoaio\nKKuDyiQr2X76sxuCtpITDEK9tUqpyo7Pu07MyUygqI2HEuNr/4aiSf5E1Sliq7IjuRF2vJ+L7sXl\nAJiu9/NRFVbYERERkY7T4nyp6dOnc/XVV1NRUQHA/v37mTNnTtYHlilmSaINbk0QitoedupPYYO6\nyk6B5QWKmJuZyk6ymUDaG4qSqDo5ZGw9kUhLYng/F5VlXQCwXD822thWREREOlaLYWfEiBG88MIL\nfPLJJ6kGBaWlpbkYW0YkKztusH2Vk/rNCQDsUMPrxDM0jS2cqMJkJOxYXtjJ1Hoikea4rotthTGA\nPuVdAfAZAaJAjcKOiIiIdKAWp7E999xzjB07lsMPP5zCwkLOPfdclixZkouxZYSZDDshL0ykX9nx\npusUJqaxxd0YruumNUbXdYk4XmWnJJD+FMHk2KKq7EgOhCJx8Hk/Xz1KvMqO3/C+B2sSa9FERERE\nOkKLYeeBBx7gD3/4AwADBw7kqaee4t577836wDLFSkxjM0JemCjwta2yk2xOYPi8IpiTqBAlA4Vr\n2thOemEnFndwDG9PkmJ/JsKO9x4zNcVOpDm7qqowTBdsH4HE9M6A6X0P1sa115OIiIh0nBbDTiwW\no0ePHqmvu3fvntUBZVqysmOGvCpHsotaayXDjr9HJVCvG1uiQmSYNtFYeputBiNxsDKzxw7UCzsZ\nap4g0pzt1V53Rsut+95NTvPUxrYiIiLSkVpcs3PccccxZcoUvv71r+O6Ls8//zwjRozIxdgyIrnP\njhWKAn4KfO2bxubv2ZPo9m044YZhB9MmGrcpbvlWNikYjmNYXmUnE2t2ivx1U+xEsm1XzQEAAtRV\nJQutArAhrMqOiIiIdKAWf0OfMWMG8+fP57HHHsPn8zFq1CgmTJiQi7FlRLKyY0W8MNHmBgVVicpO\nz15AvQYFZr2wE7PTGqNX2clk2PGuYRNP+1oiLdkb8sJOoVmceqzIV+iFHbU/FxERkQ7UYtgpKChg\n0qRJTJo0KRfjybjkmh1/OBl22lfZCfTsCdTbZyc5jc2yicbTm8YWitRVdgrbuKboYEr83jUcVNmR\n7NsX9j4QKPGVpB4r9hdBBKKOwo6IiIh0nBbX7OS7ZGUnELXBddtc2Umt2enVG6hrUJBciE0m1uyE\n61V2MrBmp7jAu4ajyo7kQE3U+xkpC5SlHisJeN+DWjcmIiIiHanzh51AAMPnw3LAZ7e/suNvorKT\nqWlsdZWd9MNOaeIXzWSHN5Fsqo3XAtClsH7Y8dbvxFyFHREREek4TU5j27p1a7Mn9u3bN+ODyRaz\nuAS76gDFMQOf2fpGAq7jYNfUAODv1h0sCzcex4nFCJheZScT09iC4ViqspORsJOo7LhmeiFMpDXC\njvcBQPfiitRjZQXe9FEbhR0RERHpOE3+5v/d734XgGg0yu7duxkwYACWZbFp0yYGDBjACy+8kLNB\npssoLoKqA5TFrTadZ9fWgOtilpRgWBZmURFOTQ1OKJS1yk4mGhSUFiS6YplxXNfFMIy0rynSlBje\n1M7K0rqwU17ofQ/ahtaNiYiISMdpMuz8/e9/B2Dy5MlcdNFFjBo1CoDVq1fz29/+Njejy5QiL0CU\ntjXsJNbr+MrKAbBSYSdIQWG9fXbi6YWdUMTOcDe2xLok0yYSsykMtL8ttkhzXNfFtsIYQO/yrqnH\nywu9tXKOwo6IiIh0oBbX7Hz00UepoAMwbNgw1q9fn9VBZZpb5P3yXxJv2xIlu8pbr2OVeWsRzCJv\nak6jyk4GprEZvsxtKmqZFjgGhgG1EXXDkuwJReLg86aq1Z/G1iWxv5Vrat2YiIiIdJwWP/Lv3bs3\nv/rVrzj33HOxbZvFixczaNCgXIwtY5xCL+wUx9oYdmq8yo5V7lV2zCJvao4TChEwvccy0Y2tNhLD\nKPOqQ5loPQ2A6wNi1ETCdC8rafHpIu2xq6oGw7LBMb2NRBPKCopw3eSathgBn78DRykiIiJfVC3+\n9n/XXXdx4MABpkyZwnXXXYdt29xxxx25GFvGOIkpZ8VtnFGTquyUJis7iXUIwWDDfXbSXrPjrXnw\nGwFMIzMN8gzXy7E1Ee1gL9mzo3ofAJZT2GBtmGmaGI73PXggHOqQsYmIiIi0WNnp0qULN998cy7G\nkjXxQj9+oDDmtu286oaVHavBNLZ6++ykuWYnGPcCScaqOoDp+rCB2qjCjmTPrpoDAPgpanTMcPy4\nVpwDwVoqS8tzPTQRERGRlsPO0KFDGz3Ws2dPli1blpUBZUO8wIcfKIi2LewkGxTUrdlJTmMLplpP\nJ5sApCMY8wJJJjYUTbLwwk5QYUeyaE/Qq34WmcWNjpmuH5sQVeFgroclIiIiArQi7Lz//vupP8di\nMUCOl+kAACAASURBVJYsWcKqVauyOqhMixVYFAGBaNtCSXJD0WQ3NrM4EXbCYSzTwsTEMRwisfQ6\nTkXsMBZQ5M9c2DETf7Wq7Eg27Q97PyPFvsbrwizXjw1URxR2REREpGO0aYGI3+/nq1/9Km+88Ua2\nxpMV0YDXcjoQaWvY+WxlJzGNLej98uYzvOpOONb+jmexuEMcLywV+xtPBWqv5NhCaYxNpCXVUW/T\n3fJAWaNjluGta6uOaM2OiIiIdIwWKztPPfVU6s+u67Ju3ToCgUBWB5Vp4YC3cNoXaVsb3LrW04nK\nTnKjxJD3y5vP8BN1I4Tt9u8SH8rwhqJJqSAW1w72kj21di34oaKwcdjxGwFCQG1UYUdEREQ6Roth\nZ/ny5Q26LHXt2pU5c+ZkdVCZlgo74bZNN4vXNKzsWPXW7AD4TT84EE0j7AQjcbAyt8dOkj/xqXoo\nrsqOZE/Y9n4W6u+xkxQwvYYbCjsiIiLSUVoMOzNnziQajfLJJ59g2zZDhgzB78+vPTNCfi/sWG0I\nO65t49TUgGFglZYC9dbsJCo7ftMLFJE0qifBcNzbp4TMVnb8iQYK6YxNpCVRvJ+FytLGYacgEXZC\nca0bExERkY7RYthZs2YNP/nJT6ioqMB1XXbv3s3cuXMZMWJELsaXEUG/t+mnGWn9L/52jbcWwSot\nxTC9pU1mvdbTQGqvnZjT/gYFwUgsVdnJZNgJWAGw06s6iTTHcV0cM4wB9C7r0uh4oa8AbK0bExER\nkY7TYti57bbbmDNnDsOHDwfgnXfe4Re/+AVPPPFE1geXKSHTxjbAisVxYjHMVlSmkp3YklPYoN6m\noolpbMn201EnnTU7NobPW7NTmMGwU5AIOxGFHcmSYDgOfi/IdD3INLYiqxBsCDuq7IiIiEjHaLEb\nWzAYTAUdgBEjRhCJ5NcntRE7SiSxbscJ1rbqnLpObHWbIX62slPgS1R23DQqO+EYWFkKO6QXxESa\ns6c66AV116DY17iTYLKVuqqLIiIi0lFaDDsVFRUsWbIk9fWLL75Ily6Np6x8nnlhx3urdm3r9vyI\nH6SyU9egIBF2EoEintY0tnrd2KyCdl/nswp96Y9NpDk7qvYBYDoFmEbj/5SUBLyfl6ibXx+OiIiI\nSOfR4jS2W2+9leuuu44bbrgB13UZMGAAd911Vy7GljERO5KRyo5RUACmiRuN4sbj3poEwHbb1tK6\nvmA4npXKTpHfG1vM1afqkh27ag8AEODg+0OVBLzv57i+B0VERKSDtBh2Bg0axBNPPEEwGMRxHEoT\nncnyScSOEk5WdloddrzKjq9eZccwDMzCIpxgLU4oRJE/UT1JZxpblvbZKUoEsXgaQUykOXsTYafQ\nLDno8bICb9qnwo6IiIh0lCbDzsUXX9zkSYZhMG/evHa/6J49exg7diyPPPIIpmkybdo0TNNkyJAh\nzJgxo8G+PpnQoLLTymlsdlXjyg547aedYC12KJSq7DhGHMdxMc22jzsUjkMWGhQUJT5Vt9MIYiLN\n2RfxfkZKrCbCTqEXdmxD34MiIiLSMZoMO1deeWWjxwzDwHXdtMJILBbj5ptvpqioCNd1ueOOO5gy\nZQonnHACM2bMYOnSpYwZM6bd1z+YBmt2Qq0MO9UNNxRNsoqKiONtLJpcs4NpE4s7FASsNo8tGIn/\n//buPE6uqk4b+HPurb2q93SnswEhhgBmQDEmRFYZkYC+SBj2GEH48I44AgLjS9iJAgEd0ZFNHHyH\nIeIrjkQRBkFxASFD2AaQhBAC2Uh632u/y3n/uPdWdSXVXeutpDvP9x9Dd9W9t45VyX3qd87vQPir\nX9kJ29PYDMHKDrljJDUC+ICIL3+1t8EOOybDDhEREe0lYzYoWLRoEQ499FDMnTsXixYtwqJFiyCl\nxNy5c7Fw4cKyT/jd734X559/PlpbWwEAGzZswKc//WkAwPHHH4+1a9eWfex8TGlCM7VM2DFjxU1j\nyzQoqN+tsjOqI5uzz45QDaR0o6zri6f07D47avXCTshvHcsEbzTJHTHD+iw1Bury/r4xaFV8pML3\nIBEREe0dY4adDRs24LTTTsM777yT+dlLL72E008/HRs3bizrZGvWrEFzczOOPfZYAICUElLKzO9D\noRBG7IpKtTj7zOgBq4hlxEus7ERyb+SUUR3ZfKq9X49iIK2VG3ZSEIqEIhR4lIJLqIoWsaexSVHe\ndREVkjSsz1JzqD7v7+vsz4pQDegG34dERERUe2PeXd955524++67sWjRoszPnOlmd955Jx5++OGS\nT7ZmzRoIIbB27Vps3LgRK1aswMDAQOb3sVgM9fX5b5wcTU0heDzFTxfrT1g3WWbQmtblM9Jobc3/\nTfRoH0StsDN19nR467OPH2isRwxA2CMxpdHeSFExEKkLFnXc3SUNqy1vyBNEW9v4r70UmrcFeBuQ\nQi/rusZSzWPtrybLGGrCasE+Z9q0sV+T4QFUHZ6QgtZ6vg/3NRzHynEMK8cxJCI3jRl2hoeHc4KO\n47jjjiu79fTPfvazzJ+XL1+OlStX4rvf/S5eeeUVLFy4EC+88AIWL1487jEGBoqrzDi64/3WHwJW\n2In1D6KnZ/zqkdR1GLEYoCgYSJgQqezj03b1ZbC7H8l2q3oiFANd3SMIFNy1aE+xdAIKAL/qL3hd\npUil7W/SFQNdXcNlNU/YXWtrXVWvcX80WcbQlBK6SEIBEMI4713TCjtbdnYDqeo0HpksY7i3cRwr\nxzGs3P4whgxzRHvXmGHHMAyYpglFyb2DN00Tul6dRe9CCKxYsQI33XQTNE3DnDlzsGTJkqoc2+FM\nY0PIXsNSxDQ2I+pMYYtA7Pb61VFrdkY3KEiVMY1NN0ykZQoBVLc5AYBMpzioBpJpHaGAt6rHp/1b\nNKFBeK3PVmOgYczHKdILE0kMJYpbK0dERERUTWOGnQULFuDee+/FFVdckfPz+++/H/Pnz6/4xKtX\nr87752rLhh1r/YBRRIOCfBuKOrJrduI5DQo03Sz52pJpA0Kpfic2ANb6HykghEQinWbYoaoaHEkC\nnjQggYg3NObjVOmFCWA4lajdxRERERHZxgw711xzDS699FL89re/xRFHHAHTNLFhwwY0NzfjgQce\nqOU1ViRlr4lRw3ZIKaKyow/bndjq9iw95zQoUCprUBBPaq7ssZNhqoCqI5pKoAX590IhKkfXyCCE\nABTTD1UZew2dR/igAYimSpt+SkRERFQNY4adSCSCRx99FOvWrcOGDRugqiq+/OUvY8GCBbW8voo5\nlR01Yt3sF9ONzbDbTnvyNEtwWk8b8WzraSjltZ6Op3QIp+20C2FHSA8kdIykklU/Nu3feqJDAACv\nDI77OK/wIQEgluZ7kIiIiGpv3F7HiqJg8eLFBZsG7MtSulXZ8YbCgBCQqSSkrkN4xn7pY7WdBnKn\nsTlrdoRiIK2VPo0tntQB1Z1pbIC1XsJAEvF0qurHpv1bX9wKOwFl7ClsAOAVdmOQNKexERERUe2V\n0T9sYnEqOwFvAErIrsokxq/uZMJOnsqOmrOpqD2Nrcw1O/GkDmGHnUAVNxR1qHaWjTHsUJUNJq3P\nSMgz/vRIv2qFnbjGsENERES1tx+EHetGP+DxQ7XDjhkbP+zoI+Os2QmNXrMzahpbuvQOdfGUu5Ud\nJ+zENU4houoattux13kj4z4uYIedhM73IBEREdXefhB27MqOxw8l5KzbGb8jWzHd2IxEHKqiQkCB\nEEBCS5d8bYnUqMqOG2FHWJWnBCs7VGUxPQoAaAyMv3+E8752vnQgIiIiqqX9IOyMruxYYccsMux4\n8nZjy05jAwAVVqBI6aWHnZw1O/Y34NXkdcKOzhtNqq6kab3/m4Nj77EDZCuWDDtERES0N+wHYWdU\nZSdsr9kpMI3NyLSezlPZ8fvtRgcpSMOAR1hTxZLlhB2XKzseuzV2kmGHqiwN6zPUGhk/7IR91vs6\nLUv/fBARERFVaj8IO3Zlxzu6slMg7ESdaWx7VnaEokAJWDdwZjIJj109SZbxzXVuN7bxW/iWw1lT\nlNlYlagKTFPCUKz3e1td47iPDfus97XGsENERER7wX4QdpzKzqhubONMYzM1zZqipqqZx+9udPtp\nr109SRlaydeWu2an+tPYnG5xKVZ2qIpG4mkIr/WeKrRmp85vfYZ0hh0iIiLaC/aDsDNqzU648Jqd\nbHOCOggh8j5m9Lodr109SZdRPXG7G5tT2UmbpQcxorEMRlOAx3q/F+rGVhewvxgQfA8SERFR7U24\nsPPBxm5IKYt+fN5ubOOs2THsttP5mhM4sh3ZEvDZlZ10mdPYhMe6CXQj7DjVonKCGNFYekaGIRQJ\nYXrhdfaaGkOD3/6CgWGHiIiI9oIJF3Z+/5sN+PC93qIfn3efnXErO2M3J3CozjS2eBx+1amelLPP\nThpCNQBkN1+spoDHujZN8kaTqqc7OggA8KHwOrMG+zMnFb4HiYiIqPYmXNgBgJ7OkaIfm7bX0liV\nHWfNzniVnbGbEzhGT2Pz2WFHK2OqWMLe7NOv+qGI6v9f4VR2dE5joyrqi1tfCPhF/jVtozUGrcqO\nVHTopuHqdRERERHtbkKGnf7e8ffJGS3vmp3Y2M/Xx2k77RjdoMBvV09KXYBtmjLTwS3oQnMCAAh6\n7bDDyg5V0WDS+oyEPOGCj/WoKqShQghgJJF0+9KIiIiIckzIsDNQZNiRUmbW7PhHr9lJVFrZya7Z\ncaaKlVo9SaSzzQkCLrSdBoCQvceJAYYdqp7hdBRA4eYEDmFae1ENJ8dv+U5ERERUbRMu7CiKwPBg\nEppWeEqMbuowpQmPUOFR1OyanXEqO07Y8Yy3ZieUncbmTBUzUNqanUQy23Y6qFa/OQEAhLxO2Cl9\nPRHRWGKaFXYKtZ12KNJqYjCUKL4iS0RERFQNEy7sNDRbVZDBvsLfEmeqOvbif2VUSJGmmfc52QYF\nhSs7ZiKemYJmyNICxei2027ssQMAYZ91XFMw7FD1JE3rs9ccHPsLgdFUO+wMp1jZISIiotqacGGn\neYo1Fa2vp/C3xM56HaeJgFCUbFAZo0lBZhpbfTFrdhII+qxjG9BKaokdH13ZcaHtNACE/dZxJcMO\nVVEKCQBAa6SxqMersD4j0VTCtWsiIiIiymfChZ0mO+wUs25n9HodR6GObJmwEyncjc2IJxBwWkar\nBnSjhLCT0gHVvT12AKCOYYeqTDdMmIrVaKCtyLDjFQw7REREtHdMuLDTPMUKGsV0ZHMqO85eOACg\n2k0KxtprR3emsRVV2YlnqkZQDKT14lvrjq7sBNxas2M3KIBiQDfyT9sjKsVIXAO81ueq3l/cmh2v\nYn1GYhrDDhEREdXWBAw7dmWnqGlsuWt2AECx208beZoUmKkUZCoF4fFACYwdQFRnn51kctQUOQNp\nrfhAMXrNjluVnUxFSzGQLqKhA1EhQ9EUhNf6XNX5iuvG5les92FcY+tpIiIiqq0JF3bqm4JQFIGR\n4RS09PjTs/JXduygkmcamxF12k7XQwgx5nGVoBVOrMqO1/6hWVJlJ5HSITxOgwJ3wo5HqIAUEIpE\nLFXaPkBE+fRGRyAUE0KqRTfW8NuVy4TOsENERES1NeHCjqoqaGxxprKN390pW9nJhp3MXjv5ws5w\n4U5sQHbNjplIZI4tVL20yk5ydDc2d8KOEAIwVQBANMUbTapcd3QIAOCVxe8N5XQsTBl8DxIREVFt\nTbiwA4yaylZg3U62spP9BloNO5WdPZ+rF7GhKDBqzU4yCQ889g9LmyoWT2mud2MDAEVa1xdj2KEq\n6ItZYcevhIp+TtBrfV6czyMRERFRrUzQsFNck4JxKzt51uwYRTQnAKwW1sIfAKSEX7erOYpZWtgZ\nXdlR3dlnBwCEHcZiaYYdqtxg0vqMhNVw0c9xNrdNm5xKSURERLU1IcOO03664DQ2PU9lJ9ONLc80\nNruy4xmn7XT2ONa31Z60FXCEYiCtFz+NLZFyf58dAFAlww5Vz3A6CgCIFNmcwHqs9VnRJMMOERER\n1daEDDvNrcVOY8tX2XH2yCm/sgNkp7J5UnY1R9VLCjujKzuuhh1hNVCIpzmFiCoX062w01hk22kA\niPitz4rOsENEREQ1NiHDTn1jEKoqEB1OIZUcuyPbuGt2YmNXdgqt2QGyTQrUlH1+xUSqQHe40eIp\nHcLeVNStBgUA4IEVdhI6ww5VLmFYn5umYOEvBBx1dtgxBMMOERER1daEDDuKIjId2Qb6xq7upAwr\nTOTvxpanQcFwtvV0wWuwKztIJSGkAiEkkrpW1PVLKTEcT2crOy5tKgoAHsUKO0mNYYcql4a1MWhr\npLHo5zQE7KmjorjPBxEREVG1TMiwA2Q7so3XpCDtVHY8Ra7ZiRZf2VGdjmyJBBS7CUCiyEAxMJJC\nWtcgFAmPUOF19upxgdeexpZkZYcqpOkmDMVa+zUl3FD08+qD1mdOiuIrn0RERETVMGHDjtOkYKBn\n7CYFmTU7yqjKTnicNTv2Pjueoio7TgvrBFRhhZ1iqyed/XHX99hxeO3XzrBDlRqJpyG81meqoYQ1\nO432Z0WqOkyz+HVtRERERJWasGGnmMpOZs2OJxt21ExIiUOOuvGSUmYbFBS1Zsep7MThEc66mOLW\nJHT2xzOd2NwOO367apQ2OYWIKjMUS0N4rc9UfQnd2PxeL6RpTfWMphi6iYiIqHYmbthptdfsjBt2\nnG5s2WlswuPJ7JFjJrPtmGUqBalpED4fhL/wvjdO2DESiUzYSZUQduBxvxMbAPhUZ/d6Lg6nyvSN\nxCBUA5AKgp5gSc8VhvUZGUyM30GRiIiIqJombNipawjC41EQi6aRSuavWmS7sflyfq6GnOpO9sZL\nH1XVEUIUPL/TwtpMJjLrYordIT6nsuPihqJA9rWnGXaoQj3RIQCAVwaK+oyMptj7PQ0z7BAREVEN\nTdiwM7oj21ibi+ar7ACj99rJPi/bdrq4lrpqwJ7GFk/Aqzhhp7ipYp198VF77JT2DXmpAl4r7OiS\n09ioMr1xK+wElFDJz1Wk9T4cTiWqek1ERERE45mwYQfIrtsZayrbmJWdsN2RLZZ9XrY5QXELr0ev\n2fGWUD3RdAN9Q0koNdhQFAACdic6jWGHKjSYsD4jQTVc8nNVe7+nkdTYDUWIiIiIqm1ih51Wu0lB\nT57OaqYBzdQhIDKVF0feyk4JbaeB0WEnAb99fK2IJgBdAwlIAJGINQ0o4HF3GlvQPr7BsEMVGk5H\nAQB1JTQncHiF9YVAlJUdIiIiqqEJHXaapjjT2PYMO2nTmcLm22N9QXavnT0rO8VOY8sEpkQCPruy\noxVR2enqtwJWxL5fdHNDUQAI+ayww2lsVKmYZoWdUtpOO7zCeh/GNYYdIiIiqp0JHXbGaz+dXa/j\n2+N3ij2NLf+andKnsTmtrYuZKtZph51AUFr/6/I0trDPOr7JDR2pQgnTeu82B4v7QmA0Z91cXEsW\neCQRERFR9UzosFPXEIDHqyAR05BM5AaNlO6s19lzmlimG1ssXze2IhsUOPv1JBII2IFKRxFhp8+6\nYfQFahx2wLBDlUlL6707JdxY8nOdLx0SDDtERERUQxM67Agh0NSSf93OuJWdcbuxFVnZCdghIpFA\nwK7s6GbhQOFUdjxeA4D7DQrCfuv4kpUdqkBaM2Co1hcIU8KlV3acroMJg2GHiIiIamdChx0AaB5j\n3Y7Tic2Xt7KTZ82OHXY89cXdyAmPB8LnA6REyFStYxSo7EgpM2EHqvVYt/fZifitm0ypGJBSunou\nmryGY2kIr/WZqi9jzY7TKCNd5F5URERERNUw4cNOU2v+9tOZyo4n35odu7IzuvX0qE1Fi6XYU9lC\nphUiCk0ViyY0xJI6Aj4VurSuz+19dpwGBVAM6AbDDpVnKJ6G8Frv2Xpf6WEn5LXe507jECIiIqJa\nmPBhJ9ukIHf/juweO+NVdqznSCmz09gixd/IqXaTgpBhdXszCoQdp6rT3hxCwr4+t6ex+RU77Ck6\nUprh6rlo8hocSUB4NEAKhL2lbyoa9tlhR7KyQ0RERLUzicLO7pUda5pY/jU7ud3YzEQCUtch/AEo\n/uKnlSkh6wYuoNsVE8WAYZpjPt5pTtDeEkJSt9YuuL3PjkfxABIQikQixW/VqTzdsSEAgAcBKKL0\nvzac6ZTc74mIiIhqacKHnUi9H16fimRcQyKevZkft7JjT2Nz1uxk1uuUMIUNyE5j86btgKMYSGvj\nhB27stPa5MNQahiKUFDnLX2DxlIIIQDpAQCMpLg4nMrTPWKFnYAob9plnV3Z0QUDNxEREdXOhA87\nQojs5qKjOrKN340tW9mxprDZ63XqSw071g2cx5kephhI64XDjq8uBgmJqaFWeFVvSecsh2JaYYe7\n11O5+mKDAIBwmeG83mnVXkR7diIiIqJqmfBhB8hOZRsYtW4nW9nJE3a8XquTmmFAplJlrdcBACVg\nh52UdQMnVAPpcdbFOGHH8Fnfks+MzCjpfOVSYIWdeJqVHSrPQNL6jJTTiQ0A6oPWZ1QqDDtERERU\nO5Mq7PT15qvs5F8T40xBM+Kx7IaiRbaddjgNCtS03ZhgnMqOYZroHrAqKyOyFwAws25aSecrVybs\naFwcTuUZ0ayw0xIsfY8dAGjKhB0d5jjr2oiIiIiqaVKEnSanspMzjW3syg4wat1OLF5+ZcfenFRx\nKjvK2JWd3qEkDFOiud6PjngHAGBWjSo7KqypcjFWdqgMpimRlNZnZHr9lLKOEfT5IE0FQpGIp7lu\nh4iIiGpjUoSd0RuLOhtnjrdmBxi9bieWWbNT7IaimWPYlR2RtCsm44QdpxPb1OYAdkY74EubmCbL\nmxJUKo+wKjsJVnaoDIPRFOCzqpJt4ZayjyPstWODyXiBRxIRERFVx6QIO+E6P3x+FamkjkTMCjnj\ndWMDADXkdGSLwxi2Kzsld2Nzwo79TbViQBtjGpuzXqexWUfa1HD2X0bQc9ttMJPuV1s8wgp8SZ3f\nqFPpeoeSEH4r7LQEmss+jjCtCuNwIlbgkURERETVMSnCjtWRLXdz0ZReoLITHl3ZccJOqZUdKzDJ\nZBKQwp6ik38Bdpcddjx1Uai6xJReqzFCatfOks5ZDq9i3WQy7FA5eocSmbDTHGgq+ziqtMMOKztE\nRERUI5Mi7AB7bi6aLljZsR5vxuLZBgUlVnacBgVmPJ5pApDQ8ldqnMqO7h1EQzQ71S3dsaukc5bD\np1iBL6VzGhuVbtdQP4RiwotARZvgOmvHRtgCnYiIiGpk0oWdATvsFF6zk+3GVmllx0wkoGbCTv7q\nSYcddkZkLxpzwk5HSecsh8+u7DhjQlSKzpE+AEBYLa8Tm8OZThlLsbJDREREtTF5wk5rtkkBMGrN\nzhjfRDtrdoxYDEa0sjU7VtixAkW+yk4ipWMomoZHFehKdqJhpMaVHTvwpRl2qAx9yX4AQJOv/Cls\nAOBVrM9iNM3KDhEREdXGpAk7mTU7PXFIKYvuxqb39gCGASUYhOL1lnROJWSFHSMRh2p3PMu3LsaZ\nwtbaKhDVYmgZ9cV2utP9yk7AY4cdk2GHSjekDQIA2sLlNycAAL9d2YmPMdWTiIiIqNomTdgJhX3w\nBzxIp3TERlKZsOOsV9mdajcoSHd1Wf9d4hQ2AFBHTWPz2NPY8q2LccJOXYvdvjeuZn6ndXfD1Nzd\nVd5ZZ6GZ3L2eSiOlRCKzx05rRcfyqwEAQEJn2CEiIqLa8NTyZJqm4frrr8euXbuQTqdx2WWXYc6c\nOVixYgUURcHcuXNxyy23QAhR8rGdjmydHw2hp2cYEhJexQNVUfM+3lmzo/X2ACh9ChsACI8HwuuF\n1DQETBVDCpA09gwUmU5skSgggfoRPfN8qevQurvgnzGz5PMXywk7umTYodKMxDVIr/X+bY+Uv8cO\nYL8PdYYdIiIiqp2aVnaefPJJNDc349FHH8VDDz2Eb3/727jzzjtx9dVX49FHH4WUEn/84x/LPr6z\nuWhPt9VdbaxObEC2sgPT2hennLADZNfthHRrKJ21QqNlO7ENQJgSvuEEIASCh8wD4P66naDXDjtg\n2KHS9A1n99iZEqxsGlvQY1V20nk+I0RERERuqGnYWbJkCa644goAgGma8Hg82LBhAz796U8DAI4/\n/nisXbu27OPv3n56rPU6QHbNjqP8sGMFrKAddvI1Aejss8LOsOxFXdyEME14GpvgP+BA6zkud2QL\n+aywY0jd1fPQ5NM7mIDwVb7HDgCEvFbYSUmuHSMiIqLaqGnYCYVCCIfDiEajuPLKK/HNb34Tpl1Z\ncX4/YreBLofTpGCw17o5840TdpxubA5PGWt2gFGVHbvB2u7rYkwp0TkQB1QNQ9ogmmMSAOBtbYVv\n2jQA7ld2nJtMk5UdKtFHg30QioRXBsb9PBUj4rM+K5rJyg4RERHVRk3X7ABAR0cHvvGNb2DZsmX4\n4he/iO9973uZ38ViMdTXjx86mppC8Hjyr8MJBqybsehgGjgAiPiDaG3NVmxG/1nKCD6w18wAQMO0\n1pzfF6urPoIUgHq7G5spjJzj9AwkkNZM1LUloQOYrUcA9KPugBmYetjH0AXA7Oku69zFmh5vBD4A\nTKFXfB43r3N/MZHGcMDuxFbva6r4uqe2NAJ9gCE0vg/3ERzHynEMK8cxJCI31TTs9Pb24uKLL8Yt\nt9yCo48+GgBw2GGH4ZVXXsHChQvxwgsvYPHixeMeY2Bg7A0JpZQIBD1IJnR40wEo0oOeHqtS1Npa\nl/mzQwmGYIxY63sSim+P3xfDsNs6q0kDiAAJLZVznA1brT1Kwk1xDAFoi9qhqL4ZsUADACC+cye6\nu4YgFHcKbYa9HtwUelmv0ZFvDKk0E20Mdw52AxGgXq2v+LqFZn1JoZtpvg/3ARzHynEMK7c/jCHD\nHNHeVdOw8+Mf/xgjIyO47777cN999wEAbrjhBtx+++3QNA1z5szBkiVLyj6+EALNU8LYtWMIMpNv\n8gAAIABJREFU/kRk3AYFAKCEs2FHjVS6ZseanrZ7xzOnOYEnbP1l3hizpu15W9ughkJQGxphDA1C\n7+uDt7Wy1r5jiQSsaWwQBqSUZXW7o/3TsF3ZaQ1X1okNAOoD9ka+gtMpiYiIqDZqGnZuvPFG3Hjj\njXv8fPXq1VU7R1OrE3bqxm1QAABqKJxZxeIpMH1uLM6aHb8ddozdw47dnEDzDQImEBiy/tvb2gYA\n8E2bhsTQIFIdu1wLO04XLKgGNN2Ez5t/GiDR7uKmvcdO3ZSKj1UftNbUSYVhh4iIiGpj0mwq6nA6\nsgUSkYJhZ3RHtkpbT/s1q0OBvlvHs87+OCBMRM1+CAmIPuubcm+bFWx806YDcLdJQWZhuWIgaV8n\nUSGJlA7DY3U2nF5fedhptCs7UmFXQCIiIqqNSRt2rMrO+NPY1HC2I1u509hUexqbT7Omp5nYM+yI\nYBQmTMxCA2Q6DSUSgWoHrWxHNvfaT3sVDyABoZhIpNj2l4rTN1S9PXYAIOTzQZrCeh+m+T4kIiIi\n9026sNNkbyxa1JodO3AooTCEp7wZfUrIqux4NSvkGKPaO2u6gb6hJFR7vc7ButWQwGdPYQMAv1PZ\n6XQv7AghAGm9vmiKu9dTcbqH4hA+6/1S6R47AKAoCoRpvQ8HErGKj0dERERUyKQLO8GQD/AZUE0P\nGo3xv412KjvlTmEDstPYvGkr7EiRnSbWNZCABBButNbpTE9a08m8o8LO6L12pJRlX0fB65TWOp1Y\ninucUHF2ZvbYCcKreqtyTGFaxxlm2CEiIqIamHRhBwDSoSgAIJgav+mA00mt3OYEo4+hpq2Kjin0\nTGhxmhMoEavjW7N9f+es1wEAtaERSjAIMxaDUcGGqgWv067sxNIJ185Bk0vHSA8AIKyU//nYnQIn\n7IzdQp6IiIioWiZd2EkbGkZ8AwAAc2T8b6PVcMT63zLX6wCAald2hL0WRihWxzPAaTstoXmspgTh\nYauq4m2dmnm+ECKnuuMW5yYznmZlh4rTm7A+R42+yqewOTzSqm6OMHQTERFRDUy6sNMV70YyZFVI\nhnrHv6EKz5+P0GEfR/1xx5d9PqeyI5J2iFANpEeFHeFPwBAa6n11QJ918+hra8s5hq/d/Y5sqt1l\nPK4x7FBxhtL2HjuhypsTOFRhhe5oimGHiIiI3FfTfXZqoSPWhWTQCjt9PdFxH+tpbMLMa75V0fmc\nNTsymQIQglAMpDUDCHrR1R+HCFlT2GZGpiPd/QaA3DU7QG06snnsm8wEww4VKW5a791qtJ12+IQf\ncXA6JREREdXGpKvs7Ip2ImVXdgZ64zAM09XzZcOO3eVMsSo7Ukp09seh2GHnAO8UmLEYhM8HtaEh\n5xi+GnRkY9ihUmi6AU21viyY2dBW4NHF8ynWNLa4xrBDRERE7pt0Yacj1gVTNeCvU2CaEoP97i6E\nFl4voKqArkM1pBV2NAMjCQ2xpA5PxL5hTNld21rbrFbQo9RizY7XvslMGgw7VFj/cCq7x04Vp7H5\n7HbwCZ3vQyIiInLfpAw7QHa/nf4ed1vcCiEyG4v6UxJCkUiktUwnNjVsVXZa49ZQe9v2/JbcO6UV\nwuOB3t8PM+nOPjg+xarspHRu5kiFdQ3FrD12JNAUaKzacYNqAACQ0FnZISIiIvdNqrCTMtLoS/ZD\nEQqmtVsdpPq63d/Pw5nK5k9bwxnXklYnNk8KpicJv+pDYNAKP77WPcOOUFV4p7YDcG8qm0+1Kjsp\ng2GHCvtooBdCAF4Zglep3tK+oMcKO6wwEhERUS1MqrDTaVd12kKtaJ1qtZPuL9CkoBqcsBPQrOlp\n8XQKXf1xKPbaoRmR6dB7rT1Ldm9O4HB7KpvfDjtphh0qQsdwL4Dq7rEDACGfFXb4PiQiIqJamFRh\nx5nCNi08Fc2t1h46fS5PYwMAJWRNYwto1nAmtFROc4KZkenQursB5J/GBgC+dnc7svk91loJzeRN\nJhXWm+gHADT4qjeFDQBCXuuLAU2yskNERETum7Rhp6EpCNWjIDqcQiqpuXre3Ss7CS1t7bFjr9eZ\nVTcdWo9d2Rkr7Dgd2VwKOwG7sqNJd8eCJodBe4+dajYnAICI3wk7DN1ERETkvkkZdqaH26EoAs1T\nwgDcr+6ombBj/XcsnUT3QCI7jc3XCn2gH1BVeJtb8h7D7WlsAa9V2dEZdqgImT126qq3xw4A1Pmt\nKqgBvg+JiIjIfZMy7EwLTwUAtLRaYaff5SYFStCZxmb9d/fQCAxoUAIxKELBlITdia1lCoSq5j2G\nr30aIATSPd2Qul71awwx7FCRDNNEWrHWus1qrN4eOwBQb1d2TMHKDhEREblv0oSdpJ5Cf3IAHqGi\nNWhVT5rbnMqOu00KMtPY7IzSNRiFCEYBAbSH2iD7rPUP3tbWsY/h88HbMgUwDKTt9T3VFLTDjoHq\nBymaXAZH0oDPag09NZK/Elmu+qD1mTQF34dERETkvkkTdjrj2U5sqmJVT1pq1KQgu2ZHAgD6o1Eo\nmfU6M6D1jN+cwOHmVLawzwk7rOzQ+Loze+wINPmr26Cg0Q47UuX7kIiIiNw3acLOrmjuFDYAaLEr\nO/09MUhTunbuzKaiunUOHfqoTmzTMpWafHvsjJbtyOZC2HGmD7GyQwXs6O/O7LHjfHFQLRG/H1IC\nQjGR0hh4iIiIyF2TJux0xDoBANPC7ZmfBUM+hMI+aGkDgwPu7diuhKwg4dNM+wdGpjnBzJzKztS8\nz3e42ZHNqexIYVT92DS57Byx9tgJVXmPHQBQFAXC8AIABhPxqh+fiIiIaLRJFHbsyk4kN1A0200K\nujuGXTu3EsgNO0LVIZywE5mWDTuFKjtO2OmsfthxWv5KRYcp3aty0cTXG7f32PFWdwqbQ0gPAGAo\n4f4eWERERLR/m3xhJ5wbdpypbF1uhh17zY5Xs6omSmgYQjHRHGhCUPFD67W+KR+vQQEwas1OZwek\naVb1GgP2pqJCMZDWWN2hsWX22Ak2uXJ8RVqVneEkww4RERG5a1KEnYSewGBqCB7Fk+nE5nCaFLha\n2bHX7Hg1az2MUmfdLM6KTIfe3w8YBtTGRig+37jHUSMRqHX1kKkU9IGBql6j395UFKqBlFbdIEWT\nS8zeY2dalffYcajSei+OpNybWkpEREQETJKw0xGzpolNDbVCEbkvyZnG1rXLvbCj2mt2PGlrwbXw\nWnuIzKibjrQ9hc1XYL2Ow62ObF7FC9gLwxNpLgyn/KSUSAurVfsBTdXdY8fhEVbYiTLsEBERkcsm\nSdixmhNMH9WcwNE0JQQhgP7eGHSXpm85lR11txAxKzK96PU6DrfCjhACkFZnrWgyWdVj0+QxEtcA\nn9U4YFrd+NMuy+V1wk6aYYeIiIjcNUnCTv71OgDg8ahobAlBSmCgz53uT8LnAxQFim5AMbKL/2fW\nTYfW7YSd4m4c3ezIptgLw2Nphh3Kr2swCuFLAVKg0V/9bmwA4FOssBPX+D4kIiIid02OsJNnj53R\nWuypbH3dUVfOL4TINCnw2xuLBpQgmvyN2bBTYENRh5sd2Rh2qJDtA/b71QxXfY8dh1+1mmUkNFZ2\niIiIyF2TI+xkKjt7TmMDgGa7SUFfj3vdn5yNRZ320zPrpkEIsc+s2QEABVYXrHiKYYfy2znUAwAI\nKnWuncOvBgAACT3l2jmIiIiIgEkQduJaHEPpYXgVL1rGaJXrtJ92q7IDYI/KzoH1MyGlLHnNjqep\nGcIfgDEyAiNa3etVhVXZiWu8yaT8ehLu7rEDAEGPFXaSBkM3ERERuWvCh51ddlWnPdy2Ryc2R0sN\nKjtO2PGlrbAzs246jOFhyFQKSigMNRwu6jhCCNeqOx67spPQeZNJ+Q2mnD12ml07R8gOO2mToZuI\niIjcNeHDznjNCRyRej/8AQ+ScQ3xWNqV61BC1jQ2p7IzMzK95PU6Dl+7NR0vVe2wo1hhJ6m5MwY0\n8UXNIQBAe11LgUeWL+yzwo5m8n1IRERE7tovwo4QAm3t1hoEt6ayjZ7G5lW8mBpqzUxh85Uadlzq\nyOZ1wg7XStAY0rA+H7Ma3NljBwAifuuLAU0y7BAREZG79ouwAwBTp1ttdPu63ZnKptphZ1HTfFx4\n+HlQFTXTnKDY9ToOt8KO0/I3afAmk/aUSOmQXqs9+6xGd/bYAYCI3/qsGOD7kIiIiNzl2dsXUCln\nQ9GxOrE52qZZYae/x6XKTsC6gZvtm4qWtr8DAGjdVhArNez4nTU7ndWdxuZTfIABpHXeZNKeOgdG\nIHxpa4+dQINr56m3KzuG0Ao8koiIiKgyE7qyE9ViGElH4VO8aA6M3z3KCTtuNSlQ7NbTZiK7d0im\nE1uJ09i8rW2AqkLv64OZqt6UM7/HquykuVaC8thq77HjMcNjNvuohoag1azDZNghIiIil03osJPd\nTLS94M2Zs2ZnoDcG0zSrfi1KyJ6ak4hnfqZ1W3uWlLpmR3g81r48UiLd1Vm1awzYmzmmTd5k0p52\n2XvshES9q+epD1hfDEhFd/U8RERERBM77BS5XgcAAkEv6hoCMAyJof7q79zuNChwKjtGPA4jOgLh\n80FtKH3PEl979dtPB+zKjsawQ3l0x/sAAPVe96awAUBdMAApAaEa0A3D1XMRERHR/m1yhJ1I4bAD\nAM2t9uaiLkxlU3ebxpaZwjalFUKIko/nxl47AY9V2dHZBYvycPbYaQm4t8cOAHgUFcK0lgsOJdzb\n+4qIiIhogocdpzlBcWGnpc0JO9VvUpCt7FjT2Mpdr+NwoyNb0OeEHU4foj1FDXuPncgU909mh52B\nOMMOERERuWeCh53ip7EBQEtrBIA77aczDQridmXH3lDUV2InNocbYSfktcKOAU5joz2lhPUlwAFN\n7rWddijS2vNpOBkv8EgiIiKi8k3YsDOSjiKqxRBQ/WjyF7cmpsWextbvwsaiTmXHsKexpSut7LRb\nrbTTXZ2QVVrXEPZaO9ebYGWHcmm6AdNjfQlwYFNxXx5UQpXW+rGRFMMOERERuWfChh1nClt7eGrR\na2IamoNQVYGR4RRSyere8Kuh3aaxdZe3oahDCQTgaW4GDANaT09VrjHkt8MOW/7SbjoHhiG8GmAq\naAjUuX4+j3DCTvWbhRARERE5JmzY2VXiFDYAUBQFTVPs6k5vdaeyCX8AEAIynYbU9eyanTLDDjB6\nKlt1mhSE7bAjBTtgUa4tNdpjx+G1w04szbBDRERE7pmwYafU9TqOzFS2KjcpEEJkp7JFR6APDACK\nAm9LS9nHrHZHtojdoEAqOkxTVuWYNDk4e+wEhftVHQDwZcJOsibnIyIiov3TxA070TLDTpubTQqs\nsJPcvh2QEt6WFgiPp+zjZSo7ndVpUuC3W08LxUBKY3WHsrpi/QCAek/pe0KVw29vcJvQGXaIiIjI\nPRMy7Egp0WlXdqZH2kt6bnavHTeaFFgd2VLbtwGobAobUP2ObM4NJhQDyTTDDmUNpAYAAC3Bppqc\nz3kvJhl2iIiIyEUTMuwMp6OI6XEEPQE0+OpLeq5T2enviUHK6k7lUu3KTibstFXW1Wr0NLZqXKtX\nsapMQjWRSrNJAWVFdWuPnamR8qddliLosdaPJY1UTc5HRERE+6cJGXZGbyZabCc2RyjsQzDkRTpl\nIDpc3Rut7DQ2p7JT2X4laqQOSjgMM5nMdHer6PqEApgqACCa4k0mZSXFCABgVkNl1chiBb32FwP7\ncNjp6IvhsT+9j51VbmZCREREtTNBw05563UcmalsVd5vxwk7em8vAMBX5h47DiEEggfPAQDsWHUb\nRl5ZV3GFR5FWdSfKLlhkM0wTpsdqmT67pTZhx9nzKS33zbATS2r4wS/fwrOv7MDKf38F//XfW2GY\n5t6+LCIiIirRBA87pa3XcWSaFPRU9xtbZ82Oo9I1OwDQtvwihA47HEZ0BB0/eQAd998LfWiw7OMp\nsMJOnJUdsnUODkN4NMBU0RRsqMk5Iz77iwGZrsn5SiGlxP/9r3fRO5REfcgL3ZB4/PkPcdsjr+Mj\nFzYkJiIiIvdM8LBTXmXHrfbTTmXHUY2w421uxoyrv4W25RdBCQQQ/Z/XsfWmGzD83y+VVeVxwk5M\n48Jwsmztt/fYMcIlTwstVyRgfTGwL4ad37+6A//zfi9Cfg9u+MoCXHPuJ9BS78e2zhGsfPhV/PbF\nLdANVnmIiIgmggkXdqSUOWt2yuFWZUcdFXbUhkYofn9VjiuEQOMJJ+LAlbcj9PH5MOMxdP7037Dr\nnh9CGxgo6VgeeAEAcYYdsu2099gJoDZ77ABAY8D6wkHz9+PK392Bf33hcbzbuaNm5x/L5o+G8Ku/\nfAAAuOQLh6G1MYiPz27Gty9ZhM9+cgYMU+I3L27Bd/7jNWzrHNnLV0tERESFTLiwM5QeRkJPIuQJ\not5X3s1ZU0sIQgCDfXHoevVaMI+exlbpep18vC0tmPHNazD1okugBIOIvf0Wtt18PYZe/GvRVR5V\nWGEnoe1736jT3tEVs9aY1XtrM4UNAA6fPgttxjxIQ4XuH8QmfR3u3XAPrnjmdvzwhV9h/a7tNbsW\nx0g8jQeeeAeGKXHKwln45CHZBiNBvwfLT5mHb53/SUxpCGBHdxS3PfIa1rzwITSdVR4iIqJ9Vfk7\nXu4lozcTLXfKjceroqE5hMG+OAZ642htr8432kooW9mptBPbWIQQaDj2OIQ+Ph/dqx9G7O230PXw\nTzHy6jpM/cpX4W0Zv3Ww1w47SY1rdsgykBwEPEBzoDZ77ACAR1Fxy8mXIJ5O4vfvvoHXut7GgNgO\nwzeE9/VX8P7GV6C+XY/ZwXn4+zmfxhEzD3L1ekwp8W9PbcDASApzZtTjH06Yk/dxhx3YhO9csgiP\nP/8B/vj6R3hq7Vb8z6YeXPyFwzB7Wmlt8ImIiMh9E66yU+kUNkd23U71prKNXrNT6R47hXibmjD9\n8m+i/ZL/DSUURnz9O9h2yw0YfP7P41Z5PIoVdjbt6sO6DV1IpHRXr5P2fSNGbffYGS3kC+CMIz+D\n2z7/NfzLCbfi861nolmfAxgeGL5hbDZexYOb7sc3f3cX/mfHh65dx9P/vQ3vfNiPSNCLy740H4qp\no+fx/8SWFd/CwB+ehRzVic3vU3HByYfg2mVHYWpTEDt7Y7jtkdfwn3/ZDK2KlWIiIiKqnHrrrbfe\nurcvohTPbX4RO6K7sKh9AQ5qOKDo54XDfsTj2albg31x7Nw+iPqmAGbNbq7KtRnDwxh+6a8AgIbj\nToB/5syqHHcsQgj4Z81C/WeOgdbbg9SOHYi9/RYS729CaO48qOHwHs95u/td9GndGOlqxKv/k8If\nXtuBrR3DMKXElIYAvJ6x8+/uY0il2xfH8MnNz0F6Uji+/VjMaJyy167Dq6o4dOpMnDRnAf7+gOOg\nJpsxMKQhYY7A9EXxeu/r2LRjEMfMnY90snohfeO2Afz06XcBAP905t9haqwbu354N2JvvgEzHkd8\n/TuIb1iP4Ny5UCPZKnBLQwDHHTkdumHig13DeP+jIbz+Xg8ObK9Dc32gatfnln3xvTjRcAwrtz+M\nYThcnfW7RFSeCRd2fr3hGQymhnDygSegJVh8SNn9L9RUSsfmd7vh9aqYN7+8Fta7MxNxDP3lzwCA\npiWnwdtUm2lBSiCAyIKF8E+fgcR7G5HetRNDL74AJRhE4MCDcqb7bYtvxbbhHTiy/VCEzFb0DibR\n2R/HG5t68PtXt2NLxwgM00RLfQBej5pznv3hHyW37WtjKKXEU1uegVBMLJ17KsK+feMm3aOqOKRt\nBj4751P4TPsivLO9C3G1F/1yF558678xxdOOGY2VV6KGoil8/7E3kUwb+F8Lp+Pw919C1yMPw4iO\nwNc+Dc2nn4HU9u3QOnZh6K8vQHg8CBw8J/OZ8qgK5s9uwfzZzdi8cwgdfXG8+HYHEikdc2c1wqPu\nu8Xzfe29OBFxDCu3P4whww7R3jXx1uzErDa55e6x43BnGpu7DQrGI4RA3acXInjooeh+9GeIvvYK\nen7+M0RfexVTL7wYvqnWtDq/6gMAjPi3YvaCNKYfaaJnMIGewQSGYmms14H17wCPvAM01wdw6JTZ\nOPXwhWiNcD3CZNQ9PAzh0QFDxZRw7RoUlKIpHMEtJ1+MP7z7Bp7Y9lvovkH8++aH8PyWo/CNY5ci\n4PWVdVzTlHjwt+sxFEvjmPoYPvHc/8VAdzegKKj//Cn4aPHHsC72EcTyRZj55w2Ysn4Hen/1S2x7\n8ffYuuQTSE7JVnkUoeL0LxyALe814g+v7MLvX92BNzf34uLTDsMhsxqrNRRERERUon0i7JimiVtv\nvRWbNm2C1+vF7bffjgMOyD9FLWkkEfGGUeeLVHTOuoYAvD4V8VgaiXgawVB5N0yjqZEIhNcLJRyG\nkmcKWS146uox/Wtfx8jrC9H9s0eQ2PQetq28CVOW/gMa//5kNPqtG9ptwzuwbXhUq98w4NntkocA\nrIu+j5df/gNCejs+Pe0TOHH2UZhav2/eFFPptvRbDT/UGu6xU66TDzsKCw+ah/vXrcFH+Bu2yNfx\nf/74Ps4/5CwsPvjQko/3xItb8MHWHpw2/BaO+OBdaFLCmNqCN088COu8b0Pb9Eb2wUcCB7Y24O9f\nGUFd5yDmPfIXvPJ3Ybx2WAhSscbtBayFV/Fg/mfnoOPDenRvb8Bdj76Bkz41E2edMAd+nzrGlRAR\nEZFb9omw89xzz0HTNPziF7/AW2+9hTvvvBP333//mI+vtDkBYFVCmlvD6No5jL7uGGYeVHnYUfx+\nzPzna6EEgnv9xrHuUwsQmncouv/foxhZ99/oeez/YeS1V7HgKxcidPj5SBrj77OTSBnY0jWATYOb\nkPB1IeHrwAt9HXi+9xmEtKk4vPHjWHLYQkxvqF0HL6q+nYO132OnEg3BMO4+++v45Usv4fEPfw3D\nN4zVW/4dL2w9EpcfeyZCRU7De+fDPrz93Mu4pOclNGoxmIrA6x+PYN3HFRjqDsAEDm44CH835TAE\nPfYx5wGJxSmov38Zodc34jNvxfDp7iCGzzgBI1PC+Fvvu/hwaCs2R98D2oBQmwJjcAr+snUn3vxw\nFy5eciQOO5CfFyIioloSstgNWlx055134ogjjsBpp50GADj++OPxwgsv5H3sOY9dhuNnLMa585aW\ndI7W1jr09ORuAvj8M+9hw5sd+LsFM3DwIe60it4XJDa/j/7fPwMzGoVQVdQfcyx8M4pvnjCciGND\n13Z0JzuRUoYhYL1lJAS8egTtoXY0h1jtKYbf50Eqve90wNsy8BFGRCfqZDtOmbdob19OUSIRP6LR\nFFJaGi9seQuD2AUBAEYAc+vnIugdf368NCQG3t6AOf1W0BuoU/Ha4SEM13kxPdKOuY0HY27TbES8\nY1ePE1u3YODZ38EYGgJUBfWLPgP/gQcioSewc6QDH0V3oTfRDzifFSkgk2G0+qdiRlMTsA8U0fa1\n9+JExDGs3P4whsv/9zl7+xKI9mv7RGUnGo0iEsneWKiqCtM0oSj5F/dWo7IDAC1t1jn/9tpO/O21\nnVU55j6r8TjAWTrwIYAP+0s8QBv8aEO+28ihPmvKGxXLu7cvYJS5qMNcAMCz3aW+J/YFc1CP7J44\nnb1FPi20AG9kl9ihZSfgtDvYDgPbsbnwMeo+g0xBbDuA7c74NQJozFsrSwPY0lPkNdbEvvRenKg4\nhpXjGBKRe/aJsBOJRBCLZRsFjBd0fnnuA2Wfp7U19/bjs6ccis+eUvpcfyIiIiIi2vftE31Rjzrq\nqMy0tTfffBPz5s3by1dEREREREQT3T6xZkdKiVtvvRXvvfceAGDVqlWYPXv2Xr4qIiIiIiKayPaJ\nsENERERERFRt+8Q0NiIiIiIiompj2CEiIiIiokmJYYeIiIiIiCalvdZ6et26dfjmN7+Jj33sYwAA\nTdNw4YUX4tRTT63ouIlEAl/96ldxxx134OCDD4amabj++uuxa9cupNNpXHbZZTjppJNynvPUU0/h\nkUcegaqqOOSQQ3DrrbdmmiZs2rQJXq8Xt99+Ow444IDMc5zjn3feeQCA2267DW+88QbC4TCEELj/\n/vtz9g5yQ63G0DAM3Hjjjdi6dSuEEFi5ciXmzp2b8xyOYa7dx9DR19eHM888Ew8//PAeTTg4hrny\njeHSpUszr2fWrFm44447cp7DMcyVbwwffPBB/PnPf0Y6ncYFF1yAs846K+c5HMNczhg6jXN+/etf\nY82aNQCAVCqFjRs3Yu3atTmvb6KOIVDbf5tXrFiBnTt3QlVVfOc738n5uxKY2ONIRPsQuZesW7dO\nXnXVVZn/jsVicunSpfLdd98t+5hvv/22XLp0qTzmmGPkhx9+KKWU8vHHH5d33HGHlFLKwcFBeeKJ\nJ+Y8J5FIyM997nMymUxKKaW8+uqr5R//+Ef57LPPyhUrVkgppXzzzTflZZddJqWUsq+vT15yySXy\nc5/7nPzFL36ROc75558vBwYGyr72ctRqDP/whz/I66+/PnNOZywcHMNc+cZQSinT6bT8+te/Lk85\n5ZScn0vJMdxdvjFMJpPyjDPOGPM5HMNc+cbw5Zdflv/4j/+YOcc999yT8xyOYa6xPsuOlStXyl/+\n8pc5P5vIYyhlbf9dufLKK6WUUr700kvy8ssvz3nORB9HItp37LVpbHK3JnChUAjnnXcennnmGQDA\n97//fVxwwQU5P3vrrbdw3nnn4ZxzzsHll1+OVCqVcwxN03D//ffnfGO+ZMkSXHHFFQCszUpVVc15\njt/vx2OPPQa/3w8A0HUdfr8fb7zxBo477jgAwJFHHol33nkHABCPx3HFFVfgS1/6UuY1mKaJbdu2\n4aabbsL555+Pxx9/vCpjVEitxvBzn/scvv3tbwMAdu7ciYaGhpzncAwLjyEAfPe738X555+P1tbW\nPa6DY1h4DDdu3IhEIoFLLrkEF154Id56662c53AMC4/hiy++iHnz5uHrX/86vva1r+EABda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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -190,13 +202,13 @@ "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.set_title('GFS 0.5 deg')\n", "for varname in cloud_vars:\n", - " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", + " ax.plot_date(time_vals, data[varname], fmt='-', linewidth=2, label=varname, tz=tz)\n", "ax.legend(bbox_to_anchor=(1.4,1.1)) " ] }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -204,18 +216,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 78, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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EFbPcUmZkuSpmUloDW8pUj5mIiASAVxUzLWWKV9xzMvt4gDloKVNERIIiWzEr5Rwz0FKm\neGcgS5lUaylTREQCIF8xqy7pddKjC45lcpySXkvK2+CWMlUxExERH7mJWYkrZk59A+naOqyODqzm\n5pJeS8pYOo29LpeY9b/5n86O0HxwUGImImIgr8ZlQOFh5uozk9KwmpuxenpI1zfAkCF9/8ZIBGfI\nECzHgdwxZYZTYiYiYiCvmv9BQ2al9PL9ZX1fxswJ23KmEjMREQO54zI8SMxUMZNSG1Djf1bYZpkp\nMRMRMZCnFbPsyAztzJRScfvLhqtipsRMRMREHo3LgIKdmVrKlBIZXMUsXENmlZiJiBjIq3EZoFlm\nUnrFWcpUxUxERHySP5Kp9BWzlKb/S4lFBjDDLEcVMxER8Z2XFTOnqQmnogJ740Zoayv59aT8FKVi\n1q7ETEREfJKfY1b6ihm2TWrkKCB7AoBIkQ0mMUPN/yIi4rfcso0XFTPQYeZSQo5TMPVfS5lKzERE\nDORpxQwNmZXSsVo3Y3V24lRV4dTU9vv73Q8nqpiJiIgv0un8so0Hc8ygcMisEjMpLvfw8uEjwLL6\n/f1hq5hFvbxYMplk5syZrFy5kkgkwtVXX00kEmHmzJnYts3EiROZPXs21gD+YUREykZXFwDOkCFg\ne/P5Oj8yQ0uZUlyD6i8DnOoaIDw9Zp4mZv/3f/9HKpVi/vz5LFmyhNtuu42enh4uvPBCJk2axOzZ\ns1m0aBHHHHOMl2GJiBjFy6n/OenR2R4zLWVKkeUSs9RAEzM1/w/c+PHjSaVSOI5Da2srsViM119/\nnUmTJgEwdepUlixZ4mVIIiLGyc8w8y4x05BZKRV3KXPXQSZmIRmX4WnFrKqqipUrVzJjxgxaWlq4\n8847ef7557f489bWVi9DEhExji8Vs912x7HtTHUjkYB43LNrS7i5S5nDB5qYhWvyv6eJ2dy5c5ky\nZQoXXHABa9as4etf/zo9PT3un7e3t1NXV7fT52hsrCIajZQ61JJqaur/rhPZku7h4OkeDp5v93BZ\npg83WlvjbQwjR8KKFTR1tcDICUV5Sr0Oi8Po+7jpIwBqJo6jZiB/j913AaCip3tQ9yEo99DTxKy+\nvp5oNHPJuro6enp62HfffVm6dCmTJ09m8eLFHHbYYTt9jo0bzc6Im5pqWb9eVcHB0D0cPN3DwfPz\nHsZWrqcBSMSHsMnDGBp2H0VsxQpaXnmTZN3wQT+fXofFYfp9rF/+IXGgpbKe5AD+HtGERSOQbNlM\nywDvQynvYX8TPk8TszPOOIMf/OAHnHbaaSSTSS666CI+/vGPc/nll5NMJpkwYQIzZszwMiQREePk\neszwaIZZTmrUaGLPPas+MymqQe/KDFnzv+c9Zj/60Y+2+fq8efO8DENExGwenpNZKOXuzNTIDCke\nexAHmANQnWv+D8c5rhowKyJiGLf53+OKmYbMStF1dmJv3oQTj+M0Dh3QU4St+V+JmYiIYSyfK2Za\nypRiye/IHNjUfyjYnazETERE/OD1OZk57pDZ5VrKlOKw1+T6ywa4jElhxawdHKcocflJiZmIiGFy\nZwI61d7NMQNIjRwFgL3qQ0ilPL22hJO9bnAzzACIRnHicSzHcY8rM5kSMxERw+QrZt4mZlRWkt6l\nCaunx12CEhmMyNrBV8wAnOrw9JkpMRMRMUyuYoaHk/9zUqOzRzPpzEwpgvyOzEFUzNhqOdNwSsxE\nREzjV8UMSI/K9pl9qD4zGbzBzjDLCdMsMyVmIiKGcXvM/KiY6TBzKSK7WEuZqpiJiIhffOsxI7+U\nGdFSphRB8ZYyVTETERGf5OeYaSlTzObuyixaYqaKmYiIeCw/+V9LmWKwRAL7o49wbJv0Lk2De64Q\nTf9XYiYiYhh3KdOPitnogmOZQjDMU/xjr18HkEnKIpFBPZdbMWtXxUxERDyWH5fh7eR/AKe+gXRt\nHVZHB1Zzs+fXl/Ao1o5MKDyWSYmZiIh4zcfmfyg8zFx9ZjJw+cb/we3IhHAdZK7ETETEMH42/4OG\nzEpxlKJipuZ/ERHxnNXpX/M/qGImxVGsGWZQUDFrV8VMRES8lEhg9fTgRKMQj/sSQrppOADWRvWY\nycDZ67JLmYM5wDxLZ2WKiIgv/K6WQbj6ecQ/WsrcPiVmIiIG8bu/DMCprNwiFpGBUPP/9ikxExEx\nSK5iRqX3ozJywjQzSvyjitn2KTETETFJe65iVu1bCGGqTohPUqn8gNnhqpgVUmImImKQ/AHmAaiY\nheBNUPxhffQRVipFurERKioG/4TV4XlNKjETETFIbqkmGBUz85eNxB/FXMYETf4XERGf5M/J9K9i\nFqbqhPgjsi6bmBVhVAZoKVNERHySr5j5OS4jPI3W4o9i7siEcG1IUWImImIQy+dzMqFgGTUE1Qnx\nR/GXMguW1x2nKM/pFyVmIiIGCVbFTImZDEwxj2MCIBbDicWw0mno7i7Oc/pEiZmIiEmyFTMCUDEL\nQ3VC/JFfyixOxQzCsylFiZmIiEGCUDHbojqRSPgXhxir2EuZEJ7zMpWYiYgYxOrwv8cMwlOdEH+4\nB5gXaymT8CyxKzETETFIEM7KLLy+6W+C4gPHcStmqSKNy4DwfFhQYiYiYpDcWZl+Tv4HJWYycNam\nFqzubtLVNVBTU7TnDctrUomZiIhB8hUz/yb/Q34p1fTqhHiv2DPMXCGZr6fETETEILmKGX5O/oeC\nN0GzqxPivVI0/kN45uspMRMRMUhgKmYhqU6I94o+wyxLS5kiIuI9d/K/3z1m4ahOiPdKMcMMwnMs\nkxIzERGD5OeYBaRiZviboHjPrZgVcUcmFOzKNPw1qcRMRMQgVsAqZqYvG4n37HWlXspUYiYiIh4J\nXMVMiZn0k72mtM3/pr8mlZiJiBgkOBWzcFQnxHul25UZjg8LSsxEREyRSmF1dWV+7XtiFo7qhHiv\nVHPM8mdlmv1hQYmZiIgpctWyqiqwLF9Dcaqz1YlOJWbSD21t2O1tOBUVOA2NRX3qsHxYUGImImII\nqzAx81lY3gTFW5Fc4//wEUX/cOF+WFDFTEREvOA2/lf6n5hp8r8MhLuMObzIxzEBhOTDghIzERFD\nBKtilo3B8OqEeKtUjf9Q+JpUYiYiIh7IV8x8PieTwkPMzX4TFG+V6jgmKFxeN/vDghIzERFD5Edl\nBKdipsRM+qNUxzFBeF6T0d4esGLFCp588kmWLVuGZVmMGzeOadOmMXLkSC/iExGRrPxw2SAkZuGo\nToi33IrZrrsV/blDn5itXbuW66+/npUrV3LwwQczduxYotEoK1as4Pzzz2fkyJHMnDmTXXctftYr\nIiLbka2YoYqZGKpUM8yg8KzMNnAc30fKDNQOE7Nbb72V7373u+y5557b/fO33nqLm2++mZtvvrlk\nwYmISF4uCVLFTEyVOyczVeQDzAGIx3GiUayeHkgkoKKi+NfwwA4TsxtuuGGn37jPPvsoKRMR8ZCb\nmKliJoYq5a5MyHxgsDZvwupoxzE0Mdtp8/+CBQt49dVX3d/fcsstLFiwoORBiYjItoJUMaOyEsey\nsLq7IZXyOxoxQXc39saNOJEIzi67lOQSYfjAsMPEbN68efzmN7+hOnv2FMCUKVP49a9/zf333+9J\ncCIikpc7/igI4zKwLLfXTcuZ0hf2umx/WdNwsEszFCJ/XmYIE7Pf/va3/OIXv2DChAnu1yZPnszd\nd9/N/PnzPQlORETy8hWz6l4e6Y0wVCfEO6VexoRw9D7uMDGzbZva2tptvj506FDsEmW6IiKyY27F\nrCoAFTMKEkQlZtIHpdyR6QrBh4UdZljRaJQNGzZs8/UNGzaQTqdLGpSIiGzLfbMJSsWs2vw3QfGO\nNxUz85fXd5iYnX766XzrW9/i+eefJ5FI0N3dzQsvvMDZZ5/NV77yFS9jFBERcOeYBaLHjHC8CYp3\noq+8BEBq7PiSXSMMVdwdjss46aST6O7u5vvf/z6rV68GYPTo0Zx55pmcfPLJngUoIiIZ+cn/AamY\nVZnfaC0eSaWoeOJRABLHHFuyy7gfFtrN/bCw0yOZvvrVr/LVr36V5uZmbNumoaHBq7hERGQrVmAr\nZkrMZOeif38Be8MGUmPGkvrYviW7Thg+LOxwKXPWrFl88MEHQKbhf+uk7N1332XmzJn9vuBdd93F\nySefzBe+8AUWLFjAsmXLOOWUUzjttNO48sorcRyn388pIlIOgnRWJuQTRC1lSm8qHvszAN3Hzijp\nUUlh+LCww4rZeeedx3XXXce6dev41Kc+xYgRI4hEIqxatYqlS5cyYsQIZs2a1a+LPffcc7z00kvM\nnz+fjo4OfvGLXzBnzhwuvPBCJk2axOzZs1m0aBHHHHPMoP9iIiJhk6+YBSQxC0F1QrwRfzyTmCWO\nO6Gk18kvZbaV9DqltMPEbNddd+V//ud/WLZsGU8++SQffPABtm0zevRobr75ZsaMGdPviz3zzDPs\nvffenHPOObS1tfH973+fBx54gEmTJgEwdepUnnnmGSVmIiLbYbUHaPI/av6XvrH/9QHRt94kXVtH\n8rAjSnqtMHxY2GmPGcDYsWM544wzinKx5uZmVq9ezV133cWKFSs4++yzt1i6rKqqorW1tSjXEhEJ\nm9wcMwKSmBGCN0EpvYpctWz6MRCPl/RaoV7KLIXGxkYmTJhANBpl/PjxVFRUsG7dOvfP29vbqaur\n6+U5qohGI6UOtaSamrYd3Cv9o3s4eLqHg+f5PcwmZsPGjIC6APz7NTUCUE0P1QO8F3odFkeg7+Nf\nHgdgyJe/wJBSx7nrMAAq0wkq+3mtoNxDTxOzgw8+mHvvvZdvfOMbrF27lq6uLg499FCWLl3K5MmT\nWbx4MYcddthOn2PjRnOzYMj8w69fr6rgYOgeDp7u4eB5fg8dh106OrCA9e0p6Pb/36/SiVADdGzY\nSPsA7oVeh8UR5PtobWph2OLFEInw0aQjcUocZzwdoR7obt7E5n5cq5T3sL8JX6+J2axZs7j++usH\nHFCho48+mueff54vfelLpNNpZs+ezciRI7n88stJJpNMmDCBGTNmFOVaIiKh0t2NlU7jxOMQ9fQz\n9Q6FoZ9HSiv+l4VYPT0kDj8Sp3Fo6S8Ygr7HXv/vfvvtt2lra6OmpqYoF/ze9763zdfmzZtXlOcW\nEQkr95zMgOzIBDX/S+/ij3mzGzMnDB8Wek3MbNtm2rRpbk8YgGVZ3HvvvSUPTkREMnJvNEHZkQnh\neBOUEkomiS96AoDEcd6shrn/fxj8muw1MctVuCzLcndQWiUcDiciItsK2tR/KKyYdfociQRR7Lln\nsTe10DNxL1J77OnJNfMfFsyt4u5w8n/OIYccQiQS4f333+fAAw/Etm0mT57sRWwiIpIVtHMyIRxv\nglI67jLmscd7ds0wjMvoNTGbO3cut99+O3PnzqWjo4PLL7+cn//8517EJiIiObmqVCArZua+CUqJ\nOA4Vj/0JgG6P+ssgHK/JXhOzhx56iHvuuYfKykoaGxtZsGABv/vd77yITUREsoJ2Tiao+V92LPLu\nO0T+9QHpoUPpmeTdKlsYqri9JmaRSIR4waTeIUOGEA3IVm0RkXIRtHMyAahW879sX/zRTLUsccxx\nEPFwKHw8jhOJYCWTkEh4d90i6jXDmjRpEnPmzKGjo4OFCxfym9/8hkMOOcSL2EREJMsdlxGkillu\nWVWJmWwldwyTl8uYAFgWTlU1VutmrI72zNw/w/RaMbvkkksYO3Ys++yzDw8//DBHHXUUM2fO9CI2\nERHJCva4jHYoOPdYypu1YQPR55/DicdJTpvu+fVN7zPrtWJ23XXXceKJJ3LKKad4EY+IiGxHECtm\nRKM48ThWIgFdXYHamCD+iS98DMtxSBwxBafG+/MnTU/Meq2YjRs3juuuu47jjz+en/70p3z44Yde\nxCUiIgXcN5kg9Zhh/pugFF9FdkxGt4djMgo51ZmTikzdANBrYnb66afz61//mp///OdUVFRwzjnn\nqHomIuK1XPN/kCpmhGMXnBRRVxfxJxcBkDjOn8QMwz8s9JqYAbS2trJkyRKeeeYZ0uk0Rx55ZKnj\nEhGRAu64jIAtF6piJoViS57G6mgn+Yn9SY8a7UsM+WOZzPyw0GuP2dlnn83rr7/Osccey3nnnccB\nBxzgRVzydLAVAAAgAElEQVQiIlIgkOMyUMVMtlSRG5NxrDdnY26P+5psN/PDQq+J2Ze//GXuuOMO\nzS4TEfGR1R68AbOgipkUcBzijz8KQGKGx2MyCsMwfPBxr0uZBx54IBdddBGHHHIIBx98MP/1X//F\nhg0bvIhNRESygloxc/t5OpWYlbvoP14lsmolqRG70rP/gb7Fka/imvma7DUxu+KKK9h///1ZtGgR\nTz75JAceeCCXXnqpF7GJiEhWEI9kgoJD1Q19E5Ti2eLQcrtPLewlYXoVt9c7t2LFCs4880xqamqo\nq6vjP//zP1m5cqUXsYmISFauYkbgEjOz3wSleNzE7Dj/+sugDJYybdtm1apV7u9XrlxJLBYraVAi\nIrKVAE7+h4I3wXYz3wSlOOzVq4i98hJOZSWJKUf7Gku++d/M12SvHf3nnXceJ598Mvvvvz8AL7/8\nMldffXXJAxMRkTx38n/AesxM7+eR4nCb/o+a7vsJEE612RWzXhOzadOmccABB/DKK6/gOA4//OEP\nGTZsmBexiYhIVhDPyoT8XDVT3wSlOOKP55YxfRoqW8D0Dwu9LmX+7W9/45xzzmHatGmMHTuWL3/5\ny7z44otexCYiIln5ilnQBsya/SYoRdDeTnzxUziWRfdn/O0vA8I/+X/OnDlcddVVAEyYMIG7776b\na6+9tuSBiYhIXr5iVu1zJFtS87/EFz+F1d1Nz0EH4wwf7nc4ONVmDz3uNTFLJBLstdde7u8nTJhA\nKpUqaVAiIlKgpwcrkcCxLKio8DuaLZj+JiiDF38qezamT4eWb830ES699piNHz+em266iRNPPBHH\ncfjTn/7EuHHjPAhNRESgYBmzqhosy+dotqSKmdhr1gDQs+devTzSG6a/JnutmF177bV0dHRw0UUX\nMXPmTDo6Orjmmmu8iE1ERAA6sjPMAtZfBhT086hiVq6sjc0AOI2NPkeSYfr5rb1WzBoaGpg9e7YX\nsYiIyHbkp/4Hq78M1PwvYGcTs3TjUJ8jyQh9xUxERPzlnpNZFbyKmTu+w9A3QRk8uzlbMRsatMTM\nzIqZEjMRkYAL6jmZYP6ykQyS47hLmcGpmJldxVViJmKQ+KLHqbrlBnAcv0MRD7kVs4BN/YeC6kTu\nLE8pK1ZbK1ZPT+Z1MGSI3+FkVFTg2DZWIgHJpN/R9NsOe8z22WefLR8YjWLbNolEgpqaGl544YWS\nByciW6qZeTGRZf+i+7Mnkdprb7/DEY8Edeo/mL9sJINjNQerWgaAZeFUVWeSxo52nPoGvyPqlx0m\nZm+99RYAV1xxBQcffDCf/exnsSyLxx9/nMWLF3sWoIhkdXRgL18G5H8YSnkI6jmZYP6ykQxO0Br/\nc5yqKmhrxeroMC4x63Up89VXX+XEE0/Etm0sy+K4447jtdde8yI2ESkQff9drOwSpr25xedoxEtu\n0hPAitkWy0Y9PX5HIx7LfUh0ApaYmTzGpdfErLKykgULFtDR0UFbWxv3338/jQGZVSJSTiLvvO3+\n2tq0ycdIxHMBPScTcJeNwMw3QRkct2IWkB2ZOSZXcntNzG666SaeeOIJjjjiCKZOncqzzz7LjTfe\n6EVsIlIg8m5BYrZ5s4+RiNes9mCek+nKJowmvgnK4ARtuGxO7qgw2s17TfY6YHbUqFHcddddXsQi\nIjsRfecd99f2ZlXMyokV5IoZ2gBQzuyNG4EgVszMfU32mphNnz59m69ZlsWiRYtKEpCIbF/kvXxi\npopZeckPmA1mxcyNy8DqhAxOvmIWtMTM3KXMXhOze++91/11T08PCxcupLu7u6RBichWenqIvP+e\n+1tLFbOy4g6YDXzFzLw3QRmc3NT/dEPAljINrpj12mM2atQo979x48Zx1llnqVom4rHIsg+wCgYl\nqmJWXtyKWXWwK2YmvgnK4OSa/4NyHFNOqCtmS5cuxbIsABzH4d1331XFTMRjkWx/mROLYSWT2Js0\nLqOcuG8uQa2YVatiVq6CdhxTjslV3F4Tsx//+Mfury3LorGxkTlz5pQ0KBHZUm5HZs/+BxB78QWs\nVlXMykpncCf/g9nLRjI4dnOm+T9wFbNqc1+TvSZm8+bNA6CtrY1UKkV9fX3JgxKRLUXfzVTMkgdP\nyiRmmmNWVtwjmQI4+R/MXjaSwQluxczc12SvPWbLly/nS1/6EtOnT+eYY47hpJNO4oMPPvAiNhHJ\ncitmB08C1GNWbixTKmad5r0JyiAkk9itm3FsO3DHHplcxe01Mbviiis466yzWLp0Kc8//zzf+ta3\nuOKKK7yITUQAHMftMUt+ajKgOWblRhUzCSIrO8PMaWgAu9d0wlu512R7CBOzjRs3MmPGDPf3J5xw\nAi0tajwW8Yq9ZjV2WyvpoUNJjxqNE41idXWBNuGUjfwcs2AmZhjcaC0DF9QDzMHs5v9eE7OKigr+\n8Y9/uL9/7bXXqAzoziCRMMqdkZmauHfmXMK6OkDLmeUkP8csmImZmzAauGwkA2cHdLgsFIyWMfA1\n2Wvz/w9+8APOPfdct+m/paWF2267reSBiUiG21+2194AOHX10NyM3bqJVFOTn6GJR6yOTMWMqmB+\nKNZSZnmymoN5gDmY/ZrsNTE78MADeeyxx/jXv/5FOp1m/PjxxONxL2ITEfI7MlMT9wIgXVdPBLQz\ns1w4Tn5cRsArZiY2WsvA2S3ZHrMgVswMXsrcYWI2a9asnX7j9ddfX/RgRGRbka0SMydbvdZSZpno\n6sJyHJyKCohE/I5mu3IJo4lvgjJwbsUskImZuadR7DAxmzRpEpZl4TiOO/lfRLyX6zHrmZhdyqzN\n9ZipYlYO3B2ZQW38x+zqhAxcUI9jArNfkztMzL7whS8AmcGyDz/8MKeffjpr1qxh/vz5fPvb3/Ys\nQJFyZm1qIbJuLU5VFelRowFIZytmtipmZcEK+DImaCmzXLnDZQN2gDmYXTHrdVfmxRdfzPr16wGo\nqanBcRy+//3vlzwwESmolk2Y6M4JcndlqsesLJhRMTO30VoGzg5087+5FbNeE7OVK1dywQUXAJnE\n7IILLmDZsmUlD0xEtm38h+yuTLSUWS7MqpiZ9yYoA2cFeFwGQ4bgWBZWdzekUn5H0y+9Jma2bfPW\nW2+5v3///feJxWIlDUpEMrZu/IeCipkSs7LgJjtGVMzMWzaSgQvygFksy9jXZa/jMi655BLOPPNM\nRowYAUBzczM33XRTyQMTkW1nmAGks2fSqcesTLgVs2DOMAOgWhWzcpTblRnE5n8g82GmvQ2ro8Pd\nNGWCXhOzww8/nCeffJK3336bWCzG+PHjqaio8CI2kbIXLZz6n6VdmeXFas/1mFX7HMmObTEuI50O\n3rmJUnyOE+yKGQVL7O1tPkfSP70mZgDxeJz99tuv1LGISKGuLuzly3AiEVJ7THC/rDlm5cUyoWIW\nieAMGZI5w7WrK9DLrlIcVnsbVjKZeV0G9LXpfphpN6uSq481IgEVef89rHSa1LjxUHDaRq7HzNau\nzLKQ35UZ3IoZaANAuQnycNmc3HmZpr0mlZiJBFT03W2XMSFzJBOA1aqKWTmwOjPnZDoBPSczx9RG\naxmYIB9gnmPqa1JHMokE1PZ2ZILmmJWb3JtKkOeYgSpm5cbamDknM4gzzHJMfU326UimrQ32iKaP\nPvqIL3zhC8ydOxfbtpk5cya2bTNx4kRmz56tI6BEKNiRuU1iVlAxU6N16OUqZgR4jhlo+n+5CXrj\nP5j7muz1SCaAjRs30tnZieM4pNNpPvzwwwFfMJlMcsUVV1BZWYnjOFx//fVceOGFTJo0idmzZ7No\n0SKOOeaYAT+/SFhE38lWzPbae6s/iJKursFub8NqbzNqG7gMgDEVMzP7eWRg3FEZQU7Mwtpjdsst\nt3DMMcdw/PHHc+qpp/KZz3yGW2+9dcAXvPHGGznllFNoamoC4I033mDSpEkATJ06lSVLlgz4uUVC\nI5Ui8v67mV9uVTEDLWeWE7fHLOgVs+zOPNOqEzIw+YpZ8M7JzDF1KbPXxOyPf/wjTz31FMcffzzz\n5s1j7ty5NA7wH+LBBx9k6NChHHnkkQA4jrPFUmlVVRWtra0Dem6RMLGXL8Pq7ia12+7brYhpZEb5\nMKXHDFXMykqgj2PKCt1SZk5TUxO1tbXstddevPnmmxx33HHceOONA7rYgw8+iGVZLFmyhLfeeouZ\nM2eyMdtACNDe3k5d3c6XZRobq4hGIwO6flA0NdX6HYLxQn8Pn1sBQOTj+27/7zo08+FoqJ2EAd6L\n0N9DD3hyD1NJAOp2HTbgf2tPDM18WKiLpPsVp16HxeH5fezIFFFqxu5OTVD/DZsySWM1PVT3Icag\nvBZ7Tcxqamp4+OGH2XfffbnvvvsYPnz4gKta9913n/vrr33ta/zwhz/kxhtvZOnSpUyePJnFixdz\n2GGH7fQ5Nm40+9NYU1Mt69erKjgY5XAPK194hRqgc+wetG3n71pXVUMFsGn5ahIDuBflcA9Lzat7\nWL9xM3GgJWmRDPC/WY0doxJoXfsRXX2MU6/D4vDjPtavXksc2BStHNDPIC9UOpHMz9ENG7f7c7RQ\nKe9hfxO+Xpcyr7vuOpqbmzn00EMZNWoUs2fP5vzzzx9wgIUsy2LmzJn8+Mc/5uSTTyaVSjFjxoyi\nPLeIyfI7Mvfe7p+rx6x85Cf/B3spU83/5cUyYldmdiizYa/JXitmS5Ys4Zvf/CYAM2fOBOD+++8f\n9IXnzZu33V+LSMEZmVvvyMxyR2aoxyz08gNmg56YmdnPIwNjB/0AcwrPyjTrNbnDxGzu3Lm0tbUx\nf/58Vq5c6X69p6eHP/zhD5x22mmeBChSdhzHHS6744pZJjGzdZB5+OUSHVMm/xt2LqEMjDtg1oCK\nmWkfFna4lDlmzJhtdk0CVFRUcMMNN5Q8MJFyZa1bh72phXR9A87w4dt9TFoVs7KRr5gZclZmbiCu\nhFdPD/bmTTiWhVPf4Hc0O2TqHLMdVsymT5/O9OnTOeGEExg9ejQffPABqVSKiRMnEovFvIxRpKy4\nZ2TuORF2cAqG22OmilnouYeYVwa9YqalzHKRq5Y5DQ0QCe6UBFNfk732mHV0dDBjxgzq6+txHIcN\nGzZwxx13cOCBB3oRn0jZcZcxd9BfBppjVk7c5v/AV8zMrE5I/9ktwV/GBHNfk70mZtdeey233XYb\nBxxwAAAvv/wy11xzDQsWLCh5cCLlKLcjM7WD/jLIV8zsTS2exCQ+SSaxkkmcSAQCvlLhVJtZnZD+\nM+E4Jgjx5P+Ojg43KQM48MAD6e7uLmlQIuUsf0bmtkcx5aQLDzKX0NqiWraDZe3AMLQ6If3nHscU\n4B2ZEMLm/5z6+noWLlzo/v6JJ56goSG4zX4iputthhkUjMvQHLNQM6W/DArGeSgxCz0TjmOCEFbM\nHnroIQCuuuoq7rzzTg455BAmT57MnXfeyQ9/+EPPAhQpJ1brZiKrV+FUVJAeM3aHj1OPWZnIvaEE\nfIYZ5AfgmladkP7LzTAL8gHmAFRW4lgWVlcXpFJ+R9NnO+wx++Uvf8nnP/95xo8fz4IFC2hvb8dx\nHGpqaryMT6Ss5Br/U3vsudPdTunsweaaYxZu+YqZAYmZodUJ6T/bkIoZlgWVVdDRjtXZgVMTjLMw\ne9PrUmZOdXW1kjKREuvLjkwAqqpwotHMJ0H1fIZWvsdMiZkEhwnHMeW4/+8YNPh4hxWz9957j+nT\np2/3zyzLYtGiRSULSqRcRXMVs4k7bvwHwLJw6uqwmpuxNm/GaWryIDrxmlsxMyIxM7PRWvrPhOOY\ncjKvy/VYHe04vT46GHaYmI0dO5af/exn20z+F5HSifRyRmYhp64empuxWzeRUmIWSu7UfwOa/4nH\ncSIRrJ4eSCQgHvc7IikRoypm1eadl7nDxCwWizFy5EgvYxEpe33ZkZmTrqsngnZmhlmu+mRCxQzL\nwqmqxmrdnKlOKDELLdukxMzAJfYd9pgddNBBXsYhIokEkX99gGNZpPaY0OvDtTMz/PIVMwMSM8x8\nE5T+s4xaysz0xpu0xL7DxOyKK67wMg6Rshf55/tYqVRmTEYflq6cWp2XGXbum4kJFTMKDzJXYhZa\njmNWxazavA8Lfd6VKSKl1ecdmVnpbMXMVsUsvAyrmGn6fxno6MBKJHCGDDHiA4OJB5krMRMJiGgf\nzsgslDsvUz1m4WVUjxlmjiaQ/jGpWgZmHmSuxEwkIPqzIxMKjmXSUmZoWR1mVcxMrE5I/xgzXDbL\nxNekEjORgHCXMnubYZblVsyUmIWWSXPMwMzqhPRPrvE/6AeY55j4mlRiJhIE6TTR9/o4XDb3LfUN\ngHrMwsyd/G/CHDPMrE5I/7gVs4aAn5OZY+BOYSVmIgFgf7gCq7OTdNPwPv/A067M8HMrZtXVPkfS\nNyZWJ6R/3IqZYUuZGPRhQYmZSABE3uvfjkzQHLNy4I6dMKZilolTiVl4uRUzLWWWjBIzkQCI5hr/\n+7iMCfkeM1u7MsPL7TEzpWKmpcywM+k4JjDzNanETCQA+jvDDDJHMoGWMsPMqLMyMbM6If1jm9r8\nb9BZmUrMRAIgXzHrx1KmuytTS5lhlZ9jZkbFDAOrE9I/lrHjMsz5sKDETCQAIv3ckQlbzTFLp0sS\nl/hLFTMJGuMGzFbnXpPmfFhQYibiM2vzJuyPPsKprCS92+59/8ZoFKeqGstxsNrbSheg+Ma0ill+\nB5wSs7CyDTrAHMz8sKDETMRn9vLlAKRGjwHL6tf35s7L1LFM4WRuxcyc6oT0j9WyETCoYqalTBHp\nr8iKbGI2Zmy/v1d9ZiGWTruJmTnjMrJvgrm4JVxSKaxNm3AsC6ehwe9o+sTEDwtKzER8FlmxDID0\n6DH9/t5cn5mtnZnhU1gts834UW3iaALpO6ulBctxMjMUIxG/w+kTVcxEpN/s5ZnELDW6/xUzdylT\niVnouMuYhpyTCWb280jfmdb4D7jVZquz05hNUkrMRHwWyfWYjR3EUqZ6zELHbfyvNCkxM686IX2X\nO47JaTTknEwA2zZuU4oSMxGf5XrMBrOUqR6z8DG7YqalzDAysmKGeR8YlJiJ+MlxBrWUqR6z8FLF\nTILGtOGyOaZ9YFBiJuIja1MLdutm0tU1A5oLlFbFLLRMrJiZ2M8jfWfacUw5pn1gUGIm4iN3GXNM\n/2eYQeG4DFXMwsb9dG/IqAwg08+Ti9eQN0HpO9vYilk2MTNkELcSMxEf2ctyy5j97y8DMtvWUcUs\nlNyKmRlT/3NMq05I3+Wa/83rMTNrt7ASMxEfDWa4LOQrZvamlqLFJMFgted6zAyqmGFeP4/0nVsx\nM20ps1qJmYj0ke0Olx1YYub2mLWqYhY2lipmEjCW8bsyzfiwoMRMxEeR5YNcyqzTWZlhlUtszKuY\nmfUmKH1n2gHmOVrKFJE+c5v/BzBcFtRjFmZWZzYxM2lXJua9CUrfmXaAeY5pHxaUmIn4xXGwc1P/\nB1gxS9dme8y0KzN03IqZcYmZDjIPK1MHzGLYhwUlZiI+sZqbsdvbSNfW4dQ3DOxJqqpwolGsri7o\n7i5ugOIr8ytmZlQnpI86OrC6unAqKsC416RZfY9KzER8Esk1/o8ZO6AZZgBYVsEsMy1nhkruTcSg\nyf9g3pug9M0W1bKB/rzySf6sTDM+LCgxE/GJvWJwy5g57rFMrVrODBNTK2YY1s8jfWPkAeZZpvU9\nKjET8UkkN1x2zOASs7R2ZoZSflemWYmZO97DkDdB6Rtj+8tQ87+I9NEWS5mDoJ2Z4eTOMdO4DAkA\nU49jAlXMRKSP8kuZg0zManVeZhjlEhvTljJNexOUvrEMPcAcCs/KNOPDghIzEZ8MdrhsTjpbMbNV\nMQsVqyNXMTMsMctW+JSYhYvZFTOzqrhKzET84Dj54bKD7DFzd2WqxyxUzK2YmVWdkL4x9TgmAKe6\nBjDnw4ISMxEfWBs2YHV2km5ocHdVDpR7LJOWMsMlN6DVuMRMS5lhZIdhKdOQ16QSMxEfRJb/Cxh8\nfxkUVMyUmIWK8ZP/DXkTlL6xjF7KNGvosRIzER/klzEHn5ils6cGqMcsRBwnP8fMtB4zw94EpW/s\njWaekwngVGdfk62tkEr5HE3vlJiJ+GCwZ2QW0q7MEEoksFIpnFgMYjG/o+mfalXMwsitmBm4lEl1\nNakx47C6u4m+8pLf0fRKiZmID3IVs8EOl4WCOWZq/g8NU6tlYN4OOOkbkwfMAiSmfRqA+FN/8TeQ\nPlBiJuKDXI9ZMZYycz1mWsoMD1P7y6Bg8n9u84KYL5XCamkBwGlo8DmYgUkcPR2A+JOLfI6kd0rM\nRHxQrOGyUHAkk5YyQyNfMTNr6j+o+T+MrE0tWI6T+VkTjfodzoAkp0zFiUSIvrAUqzXYH2KVmIl4\nzXGIfLgCKFKPmbsrM9g/bKTv3KQmV30yyBbN/47jczRSDPnhsuYdYJ7j1NXTc/AkrFSK2NOL/Q5n\np5SYiXjMXrcWq6uL9LBhUFMz6OfbYo5ZOj3o55MA6DDznEwAYjGcWAwrlYJEwu9opAhMPo6pUL7P\nLNjLmZ7WJJPJJD/4wQ9YtWoViUSC73znO0yYMIGZM2di2zYTJ05k9uzZWJblZVginrKLdBSTKxrF\nqarG6mjHam9zd2mKufJT/82rmEEmbmtTC1ZHO05Fhd/hyCCZfBxTocTR06m+4drA95l5WjH7wx/+\nwNChQ7n//vv5+c9/zlVXXcWcOXO48MILuf/++3Ech0WLgn3DRAbLnWFWhP6ynLR2ZoaKlW2cd6oM\nrJihPrOwcStmhidmPQceRLqhgciyf2F/8E+/w9khTxOzGTNmcO655wKQTqeJRqO88cYbTJo0CYCp\nU6eyZMkSL0MS8Zx7eHkRdmTmqM8sXNzmfwN3ZYISs7Bxh8savpRJJEJi6jQg2LszPU3MqqqqqK6u\npq2tjfPOO4/zzz+fdEFPTFVVFa2trV6GJOK5/I7MIi1lku8zs7UzMxTccRkGzjGDfNyaZRYOJh/H\ntLWkAfPMPN/3unr1ar773e9y2mmn8e///u/cdNNN7p+1t7dTV7fz/pjGxiqi0UipwyyppqZav0Mw\nntH3cM1KAGr324faYv09dsn8wGywktDH5zT6HgZEye5hJPOBtXJYA5Um/jvVZ2JujNPr61Gvw+Io\n6X3szBRMqsfsTrXp/15f/Bxc8F0qnllMU8OQLU7WCMpr0dPEbMOGDXzzm99k9uzZHHrooQB87GMf\nY+nSpUyePJnFixdz2GGH7fQ5Nm40uzTe1FTL+vWqCg6G6few8b33iQLN9cNJFenvUVtZzRBg8/LV\ndPfhOU2/h0FQyntYta6ZaqCDKO0G/jvVxyqIA5tWrSexk/j1OiyOUt/H2tXrMj9fYlV9+vkSaEMa\naNxrb6LvvE3Lo38heejhQGnvYX8TPk8TszvvvJPW1lZ+8pOf8JOf/ASASy+9lGuvvZZkMsmECROY\nMWOGlyGJeCudzs8wGzW6aE+bH5mhHrNQML7HLLubVD1moWD6cUxbS0z7NNF33ib25EI3MQsSTxOz\nyy67jMsuu2ybr8+bN8/LMER8Y69dg5VMkt6lCYr4pqses3Axvscs1/zfrh6zMLCbDT7AfDuSR0+H\nu35K/Km/0DHrCr/D2YYGzIp4yF6W25FZvMZ/KDyWSRWzMLByA2YNr5hpV2Y4WGGrmB12JE48TvTl\nl7A++sjvcLahxEzEQ5EVxR+VAYXjMlQxCwN3wKyJk/8pqJjpIPNQCNtSJlVVJA85HMtxiD/9lN/R\nbEOJmYiHSjFcFsCpV8UsTPIDZk2d/K9xGaHR2YnV2YkTi0G1ma/H7ckdzxQL4DwzJWYiHir6cUxZ\nuYqZvamlqM8r/sgfyWRqxUxLmWGxRbUsRMclJo6eDmQHzTqOz9FsSYmZiIdyFbNiL2W6PWatqpiF\ngbsEaGrFrFoVs7CwQtb4n5P6+CdINw0nsmY1kbff8jucLSgxE/FQ7jimdNF7zHRWZqi4uzJVMRN/\nha6/LMeytqyaBYgSMxGvpFLYKz/M/LKIM8xAPWZhkz8r08yKGTorMzTCdBzT1hLu8UxKzETKkr16\nFVZPD6kRu8KQIUV97nRttsdMuzJDwTK+YpYd86GlTOPlZpgZf4D5diSOylTMYs8+AwHaQazETMQj\n+R2ZxW38B6CqCicaxerqgu7u4j+/eMoKyeR/VczMZ4e4YuY0NZHc74DMz82//tXvcFxKzEQ8Yi/7\nF1D84bIAWFbBLDMtZ5rO+Mn/2UqfEjPzWRs3AiHsMctKZvvMeOwxfwMpoMRMxCP5HZnjSvL87rFM\nrVrONFoqhdXdjWNZRV/y9kq+YqalTNO5FbMQLmVCvs+Mxx/3N5ACSsxEPFLSpUwKRmZoZ6bRcsuY\nVFYZOzfKUfN/aITtOKatJScdknm9vvYa9prVfocDKDET8UyphsvmaGdmONjr1gKQrqnxOZKBU8Us\nPNzm/5AmZlRUkDhiCgCxp/7iczAZSsxEPFKq4bI5Tq3OywyD+KInAEgeerjPkQycKmbhYYV8KRPy\nfWZBGZuhxEzECz092KtW4lgW6ZGjSnKJdLZiZqtiZrT4Y48CkDh2hs+RDEJlJY5lYXV3QyrldzQy\nCO6A2YZGnyMpncS0YwCI/9+TkE77HI0SMxFP2KtWYqVSpHfdDSoqSnINd1emesyMZW3eRGzJ0zi2\nTeKYY/0OZ+AsK9MjR0HPnJgnncZqyZy/6zSGNzFLTdgTxozB/ugjoq+94nc4SsxEvFCqo5gKuccy\nbdZB5qaK/2UhVk8PyUMOwxk6zO9wBsWdwdauxMxU1qYWrHQ6M8A6FvM7nNKxLDjuOCAYfWZKzEQ8\nYOf6y0rU+A9ojlkIxB/7MwCJY4/3OZLB0wYA84V5uOw2js1UqINwbqYSMxEP5CpmJRkum5WubwDA\n1lKmmXp6iC/KzFJKzAhBYlatDQCms9zjmMK7jOn69KdxbJvY889htbX6GooSMxEP5Jcyx5XsGu6u\nzLJ+KM4AABw/SURBVFZVzEwUW/o37JYWeibsSWrCRL/DGbT8zkxVzExVVhWzxkZ6PnkwVjJJ7Bl/\nj2dSYibiAU+WMus1YNZk8Uf/BEDiuBN8jqQ4dF6m+aywzzDbSu4UAL/HZigxE/FAxMMeM43LMJDj\nEH8sm5jNCEtipqVM09kt2XMyQzzDrFDi6ExiFvO5z0yJmUipJRKZGWa2XbIZZlBwJJMGzBon8t67\nRD/4J+nGRpKfmux3OEWRP8hcS5mmssppKRPoOehg0nX1RP/5vntSix+UmImUmL3yQyzHIb37yJJu\nOdeuTHO5uzGPOQ6iUZ+jKQ4tZZrPPY6pTCpmRKMkDz8CgNgS//rMlJiJlJgXy5hQOMdsUyCmV0vf\nVWSXMbuPM383Zo6a/81nbcwsZZZLxQwgmT03M/7Xxb7FoMRMpMS8GC4LQDSKU1WN5ThY7W2lvZYU\njfXRR0Sffw4nFiOZbT4OBVXMjGc3fwSUT/M/QOKIqUC2YuY4vsSgxEykxOwV2RlmJa6YQf68TO3M\nNEd84WNY6TTJI6a4I0/CQM3/hksmib78EgCpiXv5HIx3Uvt+nHRjI5EPV2Av+5cvMSgxEymxyPLs\nUmapK2aoz8xEFdn+sjAtY0LBkUxayjRS9MUXsFs30zNxL9KjRvsdjndsm+RhRwIQf+Zpf0Lw5aoi\nZcSzpUzyfWa2dmaaobvb3ZofhmOYCrnN/52dPkciA5Gb5ZU4erq/gfggcWSmzyymxEwknLwYLpuT\nditmSsxMEHvmaez2Nnr2/QRpD14fXlLzv9lyiVmo+h77KHl4QWLmQ5+ZEjORUuruJrJmNU4kQnq3\n3Ut+OU3/N0vF49llzBCcjbk1jcswl7WxmehLf8eJx0lkl/XKSWqfj5EeNozI6lVEPnjf8+srMRMp\nociHmWpZeuRoT+ZTObW5kRnqMQs8x8nPLwvZMiYUVMzalZiZJr74KSzHIXnIYVBd7Xc43rPtgqqZ\n9/PMlJiJlJDtNv57s0yVq5ipxyz4Iv94jcjKD0kNH0HPgQf5HU7R5StmWso0jdv3eFT59ZflJA7P\nVApjz3g/z0yJmUgJeTVcNid/LJMqZkGXW8ZMHHc82OH7UaxxGYZyHOJP/QXIH+pdjpJHZueZPeP9\nPLPw/TQQCRAvd2RC4bgMVcyCzj20PITLmKDmf1NF3nmbyKqVpHdpIvXxT/gdjm9Se+1NepcmImvX\nEHn/PU+vrcRMpIS8HC4LBc3/qpgFmr1mNbGXX8KprCQx5Si/wymNajX/m2iLMRkhrOT2mWWRyB7P\nFPP4eKYyvusipZcbLut1xcze1OLJ9WRg4o8/CkBi6tGQG8QaMk5lZeYXSsyMEn+yfOeXbS13bmZs\nibfzzJSYiZRQbinTi6n/UNBj1qqKWZDF3f6yE3yOpHS2aP736cxB6aeuLmLPPgOUd+N/Tq7PLO5x\nn5kSM5FS6ezEXr8OJxYjPWJXTy6Zm/yvOWYB1tFBfPFTAHR/Zoa/sZRSNIoTj2M5DnR1+R2N9EHs\nuWexOjvp+fh+OCNG+B2O71IT9iQ1fAT2+nVE3nnbs+sqMRMpkfjTTwGQ2mMCRCKeXFM9ZsEXX/wU\nVlcXyYMODv2bn3ZmmkW7MbdiWSR9OJ5JiZlIiVT+7E4Auk4+3bNrpmuzPWbalRlY7m7MEC9j5miW\nmVnUX7at5BG55UwlZiJGi7z9FvHFT+JUVdF12te8u3BVFU40itXVBd3d3l1X+iadpiLb+N8d0jEZ\nhVQxM4e9dg3RN/6BU1mZmfgvACSPyA6aXfI0pNOeXFOJmUgJVN6drZZ95RSchkbvLmxZBbPMtJwZ\nNNGXXsRev47U6DGk9v243+GUnFsx61RiFnSx3DLm4UdCRYXP0QRHavwEUrvtjv3RR0TefsuTayox\nEykya2MzQ377awA6zzrb8+vnNgDYrVrODJrc2Zjdxx0PluVzNKWnipk5cv1lSfWXbcmy8mMzPDqe\nSYmZSJENue9erM5OEkdPJ7XX3p5fP62dmYFVEeJDy7dL0//NkE4T/79sxexoJWZbyyVm8b9602em\nxEykmHp6qPzFzwDo/NZ3fAnB3ZmpxCxQIu+/S/TN10nX1JLMHpAcdrmlTA2ZDbbo669hb9hAauQo\nUhP38jucwHFPAHj2r570mSkxEymi+J//SGTlh/RM2JPE9M/4EoOT3ZmpIbPBUj37UgC6P3cSxOM+\nR+MNLWWaIZbbjTnt02WxxN5f6bHjSI0ajb1xI5E3Xi/59ZSYiRRR5d3/D4DOs77t2zlz6WzFzFbF\nLDDij/6JiscfJV1bR/usK/wOxzNuYtaupcwgc+eXaUzG9lmWW+WOe3A8kxIzkSKJvvYK8b8tIV1b\nR/dXT/UtDu3KDJiODmou/T4A7bMuC/1Q2UL5OWaqmAVWWxux557FsW2SU47yO5rASmSPZ4p50Gem\nxEykSCp/lqmWdZ16Ok5NrW9xuMcybdZB5kFQ9aObiaxYTvIT+9N1xll+h+MpR83/gRdf8jRWMknP\nJw/CaRzqdziBlauYxZ59BlKpkl5LiZlIEVjr1lHx0AIcy6LzzG/7GosqZsERee9dqn5yOwBtN9wC\n0ajPEXnLqVSPWdC588u0G3On0mPGkhozFntTC9E3/lHSaykxEymCynt/gZVIkDjueNLjxvsaS7q+\nAVCPme8ch5qZF2Mlk3Se9nV6Jh3id0SeU/N/8OWPYVJi1ht3d2aJlzOVmIkMViLBkLn3AND5n/6M\nyCikXZnBUPH7h4gvfpJ0YyPtl/3Q73B84dRmlvSH3DeX+i+dyJBf/gJr/Xqfo5Ice/kyou+/R7q2\njp6DP+V3OIHnLmeWeNCsEjORQar4/UNE1q2l52P7ksw2iPpJc8z8Z7W1Un35LADaL70SZ9gwnyPy\nR+LTx9J97AywLOKLn6T2e+czbL+J1H/h3xny//0c1qzxO8Sy5k77n3JU2S2zD0Tu53vs2SUl7TNT\nYiYyGI5TMCLj7EDMAMr1mNnqMfNN1U1ziKxZTfKgg+k6/T/8Dsc3zrBhbL7vAT56/T023/5Tuo85\nFiIR4n9dTO0lF8Luu1N/0gkMuecu7LVK0rzmjsnQMUx9kh45itS48ditm4m+9krJrqPETGQQoi8s\nJfbS30k3NtL1xa/4HQ5QcCTTZlXM/BB543Uqf/ZTHNum7YZbfZtnFyRO41C6Tzmdzb9akEnSfnxn\n5rzQWIz4kr9SO+t7DN1/b2r/8wysdev8Drc89PQQW/wUoPll/eFFn5l+YogMQq5a1vW1b7jnAvpN\nuzJ95DjUzLwIK5Wi64wz6Tngk35HFDhOQyPdXz2VzfN+A+vWsfmnd9N9/L9DPM6QRx5k6NTJVPzu\nAXAcv0MNtehLL2Jv3kTPHhNIjx3ndzjGcA80L+GgWSVmIgNkr1pJxR8ewYlE6PxGcOZTOYUVMw/O\ndZO8igd+nRkyvEsT7bMu9zuc4Kuvp/tLX2XzL39F85IXSRw1Dbu5mbrvnEXdf5yi5c0Syu3GTKpa\n1i9uYva3Z6GnpyTXUGImMkBD5t6DlUrR/W+fIz1ylN/h5EWjOFXVWI6D1d7mdzSDYv/zfSrvuD0z\npPWtN/0OZ6esTS3U/DCTjLXNvhonO7ZE+iY9egybHniY1lt/TLq2jopH/0TjkZOpmH+/qmclkO8v\nO8bfQAyT3m13evaYgN3WSvTVl0tyjUAkZul0miuuuIKTTz6Zr33tayxfvtzvkER2rrOTynt/kfll\nAEZkbC1t8M7MyHvvUnXbTTROO4Jhh36Smqsup/q6qxg69RAaj5xE1ZxrMgcJB+zNuvr6q7E3rCdx\n6OF0f+UUv8Mxk2XRdfp/sPHp5+g+5ljsTS3Unfsd6k77MvaqlX5HFxpWy0aif38BJxolecSRfodj\nnOQRpT2eKRCJ2cKFC0kmk8yfP5+LL76YOXPm+B2SyE4NefC32M3NJA/4JD2Tgzc41LQ+s8jbb1F1\n8xwajzqUoYcfTPX1VxN9/TXStXV0fflkOk/7OunGRqLvvE31rTcy9OjDaDz8YKquv4rIa6/6nqRF\nX3mJIXPvwYlEaJtzSyB255osvftINt//Wzb/+E7S9Q1ULHycximHMOS+X/r+bx0GsacXY6XTJCcf\n6uvxcaZKHplZzoyXaJ5ZIAaX/P3vf2fKlMxf9IADDuAf/9jxcQfRF5/H6u72KrTia6gi1qIp2IMS\ngHtY+bOfAtD5n8EYkbG1XJ9Z7Nm/Yrds3PYBAbiH9PQQe/YZKv73EaJvv+V+OV3fQGLGCXR/7iQS\nU6dBRQUAbTfeRuyZp6n4wyNU/On3RN9/j+htN1N92830jN+DxGdPyhw0HI97E3/BPay+6nKsdJqO\ns79Lat+Pe3P9sLMsur96Ksmjp1PzvQuoePSP1F7431Q88iAd3z0fYjG/IwyOfv7/POShBYD6ywbK\nHTT73N+IPfN07+8BJx7fr+e3HMf/jx+XXXYZxx57LFOnZsqD06ZNY9GiRdjb22YewDdBKU/ppuF8\n9PfX3cQhSOpO+zIVTzzmdxh9lm5ooPuEz5L47Ikkphzde3KVS+p+/zAVf/w99gb/p8mndt2N/7+9\new+Kqv7/OP5clpsIcpESb18GFfHCqCEjoilqNYERysVFwHUczZmmwEbQQSQEEkEnFCtmnBTNNBx0\nVKSUdHIMilQGLHW8i5FQoeAF5ZLJ5fz+MJdWUEgF15/vx1+we95nP+clu/P2c/acz83DxTID8R+8\n9JIVVVU17W+oKJhl78Ry6WKMbtzo/IG9IG5+ly9XDv+jw3+L/7Ad747xxQsd2/g/tlkG0ZitXLmS\nkSNH4uNzr6v08vIiPz//GY9KCCGEEKJrGcR3zNzc3Pjhh3vnao8fP46Li8szHpEQQgghRNcziBkz\nRVFISEjg/PnzAKSkpODk5PSMRyWEEEII0bUMojETQgghhBAGcipTCCGEEEJIYyaEEEIIYTCkMRNC\nCCGEMBAvdGNWWFiIu7s7V660LJSbmppKdnb2Y+/z7NmzhIWFodVqmTdvHtevXwdg8+bNaDQaNBoN\n6enpHa7bsWMHgYGBBAcHk5eXp1fz3XffERUVpff7G2+8gVarRavVUlRU9NjH8V90ZY6ZmZkEBQUx\nY8YMvv322w7XGXqOXZkh3FsG7Z133iErK6vDdZJhSxZJSUkEBASg1WqZPXs2tbW1HaqTDFuyyM/P\nJzg4GI1GQ2JiYofrJMN7WZw7d053XFqtlhEjRlBQUNBuHUiG/85i06ZNBAQEEBQUxMGDBztc16kZ\nKi+wo0ePKp6ensqcOXN0j6Wmpiq7d+9+7H3OmjVLOXv2rKIoipKVlaWkpKQoZWVlSkBAgNLc3Kwo\niqLMnDlTOXfuXLt1VVVViq+vr3L37l2lpqZG97OiKMry5csVb29vJTIyUrePtLQ05cCBA4899sfV\nVTneuHFD8fX1VRobG5Xa2lrFy8urQ3XPQ45dleF9q1evVjQajZKVldWhOslQP8OQkBDl5s2b/6lO\nMmzJora2VvH19dVluGHDBuX69evt1kmGrd/LiqIoubm5yqJFizpUJxm2ZHH79m1l0qRJSkNDg3Lr\n1i1l8uTJHarr7Axf6BkzlUrF2LFjsbGxITMzs9XzmzZtIigoiJkzZ5KamgpAYGAgf/xxbzHd/fv3\ns2LFCr2atLQ0hgwZAkBjYyNmZmb07t2bjIwMVP+sWtDY2Ii5uXm7dSdPnsTNzQ0TExMsLS1xdHTk\n3Ll7S9e4ubmRkJCA8q+Lak+fPs2uXbsICwtj1apVNDU1PY2Y2tVVOdra2rJnzx7UajVVVVWYtXHH\n/ec1x67K8P62RkZGTJgwQe+4H1UnGbZkoSgKly9fJi4ujpCQEHbt2tXqtSTDFm1l8csvvzB48GBW\nrlxJWFgY9vb22NnZtVsnGeq/lwHq6+tJT08nNja21WtJhi3ayqJbt2706dOH+vp66urq2lxt6Flk\n+EI3ZveDi4+PZ/PmzZSVlemeO3/+PPv372f79u1kZWVx+fJl8vLyCAoKYs+ePQBkZ2cTHByst097\ne3vg3vqfmZmZzJkzB2NjY2xtbVEUhVWrVjFs2DAcHR3brautrcXKqmV5l+7du+tOmUydOrXV8Ywf\nP564uDgyMzOpq6tr8zRVZ+iqHAHUajVfffUVwcHB+Pn5tRrL85pjV2V44cIF9u3bxwcffNBmU/aw\nOsmwJYv6+nq0Wi2pqalkZGSwbds23T0YH1UnGbZkcePGDQoLC1m8eDEbNmzgyy+/5Lfffmu3TjLU\n/zwE2LlzJz4+PtjY2LQai2TYoq0sFEXBwcGBqVOnEhgYiFarbTWWZ5HhC92Y3WdjY8PSpUuJjo6m\nubkZgNLSUkaOHIlarQZg9OjRXLx4kbfffpsDBw5QWVlJbW0tgwYNarW/3NxcEhISWL9+Pba2tgD8\n/fffLFq0iPr6ehISEtocx4N1lpaW1NXV6Z6vq6ujR48eDz2OwMBA+vXrB8Brr73GmTNnHiuPx9UV\nOQLMmjWLgoICioqKKCwsbLfuecqxszPMycnh6tWrzJ49m+zsbL744otW30tpq04ybMmiW7duaLVa\nzMzM6N69O2PHjtX9b/lRdZJhSxa2tra4urrSs2dPLCwscHd35+zZs+3WSYatPw/37t3LjBkzHjoO\nybDFg1n88MMPVFVVcejQIfLy8jh48CAnT55st66zM5TG7B+TJ0/GycmJ7OxsVCoVAwYM4OTJkzQ1\nNaEoCsXFxTg5OWFpacnw4cNJTk4mMDCw1X5ycnLIzMxk69atun8IRVF47733GDJkCImJibpTmu3V\njRgxguLiYu7evUtNTQ2XLl3C2dm5zfErioKfnx9Xr14F4MiRI7i6uj6teDqsM3P89ddfiYiIAMDY\n2BhTU1Pdm/NRdc9bjp2Z4eLFi9mxYwdbt24lICCAuXPn8uqrr7ZbJxm2ZFFaWkpISAjNzc00NDRw\n7NixVscnGbZoK4thw4Zx8eJFbt68SWNjIydOnGiVhWTYoq0sAGpqarh79y69evVq8/UlwxZtZWFt\nbY25uTmmpqaYmppiZWXV6kKeZ5Gh8X9O6f8RlUql1yQtXbqUo0ePAjB48GB8fHx0H8Du7u68/vrr\nAGg0GubPn8/KlSv19tfU1ERycjJ9+vQhPDwcgDFjxjB06FCKiopoaGjQrQkaFRXFqFGjHlrn4eFB\neHg4s2fPJjQ0lObmZiIjIzE1NW1z/CqViqSkJMLDwzE3N2fQoEFoNJrOiK2Vrsjxfh4uLi4EBwej\nUqmYOHEi7u7uHaoz9By76m/xfmP7MJJhi0dlMW3aNDQaDcb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MaGrs2LEsWLCA2tpaVq1axSOPPMIRRxzhx9jSl2FAXl5z3VVdHbjUvsMJwooS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\nAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -224,7 +236,7 @@ ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2)\n", + "ax.plot_date(time_vals, total_cloud_cover, 'r', linewidth=2, tz=tz)\n", "ax.set_ylabel('Total cloud cover' + ' (%s)' % fm.var_units[var_name])\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.set_title('GFS 0.5 deg')" @@ -232,29 +244,29 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 12, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "fm = GFS(res='Quarter')" + "fm = GFS(res='quarter')" ] }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 13, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(location,timerange)" + "data = fm.get_query_data(latitude, longitude , timerange, a_point)" ] }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 14, "metadata": { "collapsed": true }, @@ -265,7 +277,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 15, "metadata": { "collapsed": false }, @@ -273,18 +285,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 118, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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G09icsGO5nZCjsCMiIr1Nl05jGzlyJKlUCtu2qa6uxuv18uGHH3LIIYcAMGnS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\nK1KJ5vAxXklERNSCYYeoFQuyslPkzU/Y8SryBq4h3vFmkJS5g7EDAIA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C6sIN1IbqEo/7emEb257T2ADGDneHFOhwURERERGRjvS5sPODrX/Brq+jamtu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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -294,7 +306,7 @@ "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", - " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", + " ax.plot_date(time_vals, data[varname], fmt='-', linewidth=2, label=varname, tz=tz)\n", " \n", "ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name])\n", "ax.set_xlabel('Forecast Time (UTC)')\n", @@ -304,7 +316,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 16, "metadata": { "collapsed": false }, @@ -315,18 +327,18 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(location,timerange)" + "data = fm.get_query_data(latitude, longitude, timerange, a_point)" ] }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 18, "metadata": { "collapsed": true }, @@ -337,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 19, "metadata": { "collapsed": false, "scrolled": false @@ -346,18 +358,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 82, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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te44cR5dvEZHe0KeliIh4JpnKYWBgAdGakNfllES6GHbi/ZzCBhCvL4YdXb5F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\ncdetW+e6ruuuWLHC/e1vf5uT7wu7/b1u13Xdnp4e94ILLnDb29sP6Xv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mssUb2sJOF5Ud6N/moqHWJnY278btcKeqTqn7uTzMPuIMAFZU/5nvXHo8Y3K9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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -367,7 +379,7 @@ "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", - " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", + " ax.plot_date(time_vals, data[varname], fmt='-', linewidth=2, label=varname, tz=tz)\n", "ax.set_ylabel('Cloud cover (%)')\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.legend(bbox_to_anchor=(1.4,1.1))\n", @@ -376,32 +388,26 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { - "ename": "AttributeError", - "evalue": "'Series' object has no attribute 'find'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m 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'Series' object has no attribute 'find'" - ] + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" }, { "data": { - "image/png": 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RSqWwfPlyzJ8/H16vsR94VDtamSU0QCA2ZWwEM6Y04P19HXhpy2FcP39KjVZHNLhCN3Jj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\nMmZf0GT2ciwn4HNDliQkUzlksorZy6k6BmJUkqi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ZJmi3nB31JMX2ZNigQL48XEpe4RUO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\nEEIlUogJIYQQQqjk/wBwE6VcAqa3EwAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -410,7 +416,7 @@ ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "ax.plot(time_vals, data['downward_shortwave_radflux_avg'], linewidth=2, label='ghi')\n", + "ax.plot_date(time_vals, data['ghi'], linewidth=2, fmt='-', label='ghi', tz=tz)\n", "ax.set_ylabel('GHI W/m**2')\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.legend()" @@ -418,7 +424,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 22, "metadata": { "collapsed": true }, @@ -429,18 +435,18 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 23, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(location,timerange)" + "data = fm.get_query_data(latitude, longitude, timerange, a_point)" ] }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 24, "metadata": { "collapsed": true }, @@ -451,7 +457,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 25, "metadata": { "collapsed": true }, @@ -459,12 +465,12 @@ "source": [ "total_cloud_cover = data['total_clouds']\n", "temp = data['temperature']\n", - "wind = data['wind_speed_gust']" + "wind = data['wind_speed']" ] }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 26, "metadata": { "collapsed": false }, @@ -475,15 +481,15 @@ "(0, 100)" ] }, - "execution_count": 91, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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69tln1a1bN3k8Hr377rtq3LixP2oDAAAIWOXOhE2ZMkVHjx5VWlqa0tPT5fF4NGnSJH/U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\ndeuqTp06WrNmjTp16lTpnwF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IiIgEQakhLCkpiTFjxnDvvffy+eefs3v3bux2O3/4wx+YOnUqiYmJoawzbJhaEyYiIiJB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\noBAmIiIiUgUKYSIiIiJV8A8Bn7M4LEvHOQAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -492,7 +498,7 @@ ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "ax.plot(time_vals, total_cloud_cover, 'r', linewidth=2)\n", + "ax.plot_date(time_vals, total_cloud_cover, 'r', linewidth=2, tz=tz)\n", "ax.set_ylabel('Cloud cover (%)')\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "plt.ylim(0,100)" @@ -500,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 27, "metadata": { "collapsed": false }, @@ -508,18 +514,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 92, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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VK1eydu1abMV3TCXmuCSFO6NoZWXoe/Zg5RdgdeioupyMEbrwoLsV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\nIYQQwsck4RJCCCGE8LH/B8NOPeJiOEiPAAAAAElFTkSuQmCC\n", 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rCskDDkR77VWin39GawezofwgMi8dcO2T44BrYM+p4VLqalHicYziEigocOw+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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -528,14 +534,14 @@ ], "source": [ " fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - " ax.plot(time_vals, temp, 'r', linewidth=2)\n", + " ax.plot_date(time_vals, temp, 'r', linewidth=2, tz=tz)\n", " ax.set_ylabel('temp {}'.format(fm.var_units['temperature']))\n", " ax.set_xlabel('Forecast Time (UTC)')" ] }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 28, "metadata": { "collapsed": false }, @@ -543,18 +549,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 93, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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MvwpA7dOKum5xNeR4qoq0qbfB9+Kz0GUZZbP+juprfhu/66emQu15EgRFgbx5Y/yuS0SN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\n9h9wDKbh6g5F9QAAAABJRU5ErkJggg==\n", 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8LzZbJaJ2UNaVQ9n2BYxueUicNFp0nIzU7MjXlClT2nzw5557Dm+88QbC4fBR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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -563,14 +569,14 @@ ], "source": [ " fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - " ax.plot(time_vals, wind, 'r', linewidth=2)\n", + " ax.plot_date(time_vals, wind, 'r', linewidth=2, tz=tz)\n", " ax.set_ylabel('wind {}'.format(fm.var_units['wind_speed']))\n", " ax.set_xlabel('Forecast Time (UTC)')" ] }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 29, "metadata": { "collapsed": true }, @@ -581,18 +587,18 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 30, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "data = fm.get_query_data(location,timerange)" + "data = fm.get_query_data(latitude, longitude, timerange, a_point)" ] }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 31, "metadata": { "collapsed": true }, @@ -603,7 +609,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 32, "metadata": { "collapsed": false }, @@ -614,7 +620,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 33, "metadata": { "collapsed": false }, @@ -622,18 +628,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 98, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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XrVq1SuPHj9fRo0eVmZnpifoAAAAAwK2qDEWStH37dv373//WZ599poYNG+rR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\nBADA/1iMqm5lBADwiIEDB2rQoEFOKzr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qqsjMzARgypQpFBUVtXvMgoICrr/+egAmT57M5MmTeeaZZwDIy8tj6tSpAFitViZOnEhu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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -643,7 +649,7 @@ "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", - " ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname)\n", + " ax.plot_date(time_vals, data[varname][:].squeeze(), fmt='-', linewidth=2, label=varname, tz=tz)\n", "ax.set_ylabel('Cloud cover (%)')\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.legend(bbox_to_anchor=(1.4,1.1))" @@ -651,7 +657,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 34, "metadata": { "collapsed": false }, @@ -660,13 +666,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:464: UserWarning: Experimental model. May not be available.\n", - " warnings.warn('Experimental model. May not be available.')\n" + "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:520: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", + " available.')\n", + "C:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\siphon\\catalog.py:61: UserWarning: URL http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml returned HTML. Changing to: http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml\n", + " new_url))\n" + ] + }, + { + "ename": "ParseError", + "evalue": "mismatched tag: line 16, column 4 ()", + "output_type": "error", + "traceback": [ + "\u001b[1;36m File \u001b[1;32m\"\"\u001b[1;36m, line \u001b[1;32munknown\u001b[0m\n\u001b[1;31mParseError\u001b[0m\u001b[1;31m:\u001b[0m mismatched tag: line 16, column 4\n" ] } ], "source": [ - "fm = GSD()" + "fm = HRRR_ESRL()" ] }, { @@ -677,7 +693,7 @@ }, "outputs": [], "source": [ - "data = fm.get_query_data(location,timerange)" + "data = fm.get_query_data(latitude, longitude, timerange, a_point)" ] }, { @@ -763,23 +779,12 @@ "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", - " ax.plot(time_vals, data[varname], linewidth=2, label=varname)\n", + " ax.plot_date(time_vals, data[varname], linewidth=2, label=varname, tz=tz)\n", "ax.set_ylabel('Cloud cover (%)')\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.legend(bbox_to_anchor=(1.4,1.1))" ] }, - { - "cell_type": "code", - "execution_count": 103, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "ghi = data['downward_shortwave_radflux']" - ] - }, { "cell_type": "code", "execution_count": 106, @@ -811,36 +816,36 @@ ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "ax.plot(time_vals, ghi, linewidth=2)\n", + "ax.plot_date(time_vals, data['ghi'], linewidth=2, tz=tz)\n", "ax.set_ylabel('GHI' + ' (%s)' % fm.var_units['ghi'])\n", "ax.set_xlabel('Forecast Time (UTC)')" ] }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 35, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "fm = NCEP()" + "fm = HRRR()" ] }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 36, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "data = fm.get_query_data(location,timerange)" + "data = fm.get_query_data(latitude, longitude, timerange, a_point)" ] }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 37, "metadata": { "collapsed": true }, @@ -851,7 +856,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 38, "metadata": { "collapsed": true }, @@ -862,7 +867,7 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 39, "metadata": { "collapsed": false }, @@ -870,18 +875,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 111, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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m1AUAAAAApigzFI0fP17NmjVTQUGBnE7nDZ/Q6XRqxIgR+uabb+Tj46MxY8Yo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\nTp3qNp6Xl6eMjAzNmTNH06d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+ "image/png": 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SGxERERGRAJGTk8PGjRt5/fXXsdvt/PCHP2Tt2rWMGjWKrVu3cvjwYfr378/69esJCwtj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Gb/PgCsQ6W4Ea1LURRCBgwkft7jdP/dAiz9B+Cx2ynfsJ6s+Y9S9PZbuMrL2zwOd00NlV9/BUDU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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -891,7 +896,7 @@ "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", - " ax.plot(time_vals, data[varname][:].squeeze(), linewidth=2, label=varname)\n", + " ax.plot_date(time_vals, data[varname][:].squeeze(), fmt='-', linewidth=2, label=varname, tz=tz)\n", "ax.set_ylabel('Cloud cover (%)')\n", "ax.set_xlabel('Forecast Time (UTC)')\n", "ax.legend(bbox_to_anchor=(1.4,1.1))" diff --git a/docs/tutorials/notebooks/forecast_to_power.ipynb b/docs/tutorials/notebooks/forecast_to_power.ipynb index fdc05c804c..1ad3874324 100644 --- a/docs/tutorials/notebooks/forecast_to_power.ipynb +++ b/docs/tutorials/notebooks/forecast_to_power.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": { "collapsed": false }, @@ -94,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": { "collapsed": false }, @@ -102,8 +102,8 @@ "source": [ "# Choose a location.\n", "# Tucson, AZ\n", - "latitude = 32.2\n", - "longitude = -110.9\n", + "latitude = [32.2]\n", + "longitude = [-110.9]\n", "tz = 'US/Arizona'" ] }, @@ -116,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "metadata": { "collapsed": false }, @@ -135,15 +135,13 @@ "albedo = 0.2\n", "\n", "# create pvlib Location object based on meta data\n", - "a_point = pvlib.location.Location(latitude, longitude, name='Tucson', tz=tz)\n", - "#tz = a_point.tz\n", - "#tz = 'GMT'\n", + "a_point = pvlib.location.Location(latitude[0], longitude[0], name='Tucson', tz=tz)\n", "print(a_point)" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": { "collapsed": false }, @@ -156,7 +154,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": { "collapsed": true }, @@ -168,130 +166,23 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "DatetimeIndex(['2015-12-11 03:00:00-07:00', '2015-12-11 06:00:00-07:00',\n", - " '2015-12-11 09:00:00-07:00', '2015-12-11 12:00:00-07:00',\n", - " '2015-12-11 15:00:00-07:00', '2015-12-11 18:00:00-07:00',\n", - " '2015-12-11 21:00:00-07:00', '2015-12-12 00:00:00-07:00',\n", - " '2015-12-12 03:00:00-07:00', '2015-12-12 06:00:00-07:00',\n", - " '2015-12-12 09:00:00-07:00', '2015-12-12 12:00:00-07:00',\n", - " '2015-12-12 15:00:00-07:00', '2015-12-12 18:00:00-07:00',\n", - " '2015-12-12 21:00:00-07:00', '2015-12-13 00:00:00-07:00',\n", - " '2015-12-13 03:00:00-07:00', '2015-12-13 06:00:00-07:00',\n", - " '2015-12-13 09:00:00-07:00', '2015-12-13 12:00:00-07:00',\n", - " '2015-12-13 15:00:00-07:00', '2015-12-13 18:00:00-07:00',\n", - " '2015-12-13 21:00:00-07:00', '2015-12-14 00:00:00-07:00',\n", - " '2015-12-14 03:00:00-07:00', '2015-12-14 06:00:00-07:00',\n", - " '2015-12-14 09:00:00-07:00', '2015-12-14 12:00:00-07:00',\n", - " '2015-12-14 15:00:00-07:00', '2015-12-14 18:00:00-07:00',\n", - " '2015-12-14 21:00:00-07:00', '2015-12-15 00:00:00-07:00',\n", - " '2015-12-15 03:00:00-07:00', '2015-12-15 06:00:00-07:00',\n", - " '2015-12-15 09:00:00-07:00', '2015-12-15 12:00:00-07:00',\n", - " '2015-12-15 15:00:00-07:00', '2015-12-15 18:00:00-07:00',\n", - " '2015-12-15 21:00:00-07:00', '2015-12-16 00:00:00-07:00',\n", - " '2015-12-16 03:00:00-07:00', '2015-12-16 06:00:00-07:00',\n", - " '2015-12-16 09:00:00-07:00', '2015-12-16 12:00:00-07:00',\n", - " '2015-12-16 15:00:00-07:00', '2015-12-16 18:00:00-07:00',\n", - " '2015-12-16 21:00:00-07:00', '2015-12-17 00:00:00-07:00',\n", - " '2015-12-17 03:00:00-07:00', '2015-12-17 06:00:00-07:00',\n", - " '2015-12-17 09:00:00-07:00', '2015-12-17 12:00:00-07:00',\n", - " '2015-12-17 15:00:00-07:00', '2015-12-17 18:00:00-07:00',\n", - " '2015-12-17 21:00:00-07:00', '2015-12-18 00:00:00-07:00'],\n", - " dtype='datetime64[ns]', freq=None, tz='US/Arizona')\n", - "converting to UTC\n", - "localized time (UTC)\n", - "converting to UTC\n", - "DatetimeIndex(['2015-12-11 03:00:00', '2015-12-11 06:00:00',\n", - " '2015-12-11 09:00:00', '2015-12-11 12:00:00',\n", - " '2015-12-11 15:00:00', '2015-12-11 18:00:00',\n", - " '2015-12-11 21:00:00', '2015-12-12 00:00:00',\n", - " '2015-12-12 03:00:00', '2015-12-12 06:00:00',\n", - " '2015-12-12 09:00:00', '2015-12-12 12:00:00',\n", - " '2015-12-12 15:00:00', '2015-12-12 18:00:00',\n", - " '2015-12-12 21:00:00', '2015-12-13 00:00:00',\n", - " '2015-12-13 03:00:00', '2015-12-13 06:00:00',\n", - " '2015-12-13 09:00:00', '2015-12-13 12:00:00',\n", - " '2015-12-13 15:00:00', '2015-12-13 18:00:00',\n", - " '2015-12-13 21:00:00', '2015-12-14 00:00:00',\n", - " '2015-12-14 03:00:00', '2015-12-14 06:00:00',\n", - " '2015-12-14 09:00:00', '2015-12-14 12:00:00',\n", - " '2015-12-14 15:00:00', '2015-12-14 18:00:00',\n", - " '2015-12-14 21:00:00', '2015-12-15 00:00:00',\n", - " '2015-12-15 03:00:00', '2015-12-15 06:00:00',\n", - " '2015-12-15 09:00:00', '2015-12-15 12:00:00',\n", - " '2015-12-15 15:00:00', '2015-12-15 18:00:00',\n", - " '2015-12-15 21:00:00', '2015-12-16 00:00:00',\n", - " '2015-12-16 03:00:00', '2015-12-16 06:00:00',\n", - " '2015-12-16 09:00:00', '2015-12-16 12:00:00',\n", - " '2015-12-16 15:00:00', '2015-12-16 18:00:00',\n", - " '2015-12-16 21:00:00', '2015-12-17 00:00:00',\n", - " '2015-12-17 03:00:00', '2015-12-17 06:00:00',\n", - " '2015-12-17 09:00:00', '2015-12-17 12:00:00',\n", - " '2015-12-17 15:00:00', '2015-12-17 18:00:00',\n", - " '2015-12-17 21:00:00', '2015-12-18 00:00:00'],\n", - " dtype='datetime64[ns]', freq=None, tz=None)\n" - ] - } - ], + "outputs": [], "source": [ "# Retrieve data\n", - "forecast_data = fm.get_query_data(latitude,longitude,timerange)" + "forecast_data = fm.get_query_data(latitude, longitude, timerange, a_point)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 7, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "converting to UTC\n", - "localized time (UTC)\n", - "converting to UTC\n", - "DatetimeIndex(['2015-12-11 03:00:00', '2015-12-11 06:00:00',\n", - " '2015-12-11 09:00:00', '2015-12-11 12:00:00',\n", - " '2015-12-11 15:00:00', '2015-12-11 18:00:00',\n", - " '2015-12-11 21:00:00', '2015-12-12 00:00:00',\n", - " '2015-12-12 03:00:00', '2015-12-12 06:00:00',\n", - " '2015-12-12 09:00:00', '2015-12-12 12:00:00',\n", - " '2015-12-12 15:00:00', '2015-12-12 18:00:00',\n", - " '2015-12-12 21:00:00', '2015-12-13 00:00:00',\n", - " '2015-12-13 03:00:00', '2015-12-13 06:00:00',\n", - " '2015-12-13 09:00:00', '2015-12-13 12:00:00',\n", - " '2015-12-13 15:00:00', '2015-12-13 18:00:00',\n", - " '2015-12-13 21:00:00', '2015-12-14 00:00:00',\n", - " '2015-12-14 03:00:00', '2015-12-14 06:00:00',\n", - " '2015-12-14 09:00:00', '2015-12-14 12:00:00',\n", - " '2015-12-14 15:00:00', '2015-12-14 18:00:00',\n", - " '2015-12-14 21:00:00', '2015-12-15 00:00:00',\n", - " '2015-12-15 03:00:00', '2015-12-15 06:00:00',\n", - " '2015-12-15 09:00:00', '2015-12-15 12:00:00',\n", - " '2015-12-15 15:00:00', '2015-12-15 18:00:00',\n", - " '2015-12-15 21:00:00', '2015-12-16 00:00:00',\n", - " '2015-12-16 03:00:00', '2015-12-16 06:00:00',\n", - " '2015-12-16 09:00:00', '2015-12-16 12:00:00',\n", - " '2015-12-16 15:00:00', '2015-12-16 18:00:00',\n", - " '2015-12-16 21:00:00', '2015-12-17 00:00:00',\n", - " '2015-12-17 03:00:00', '2015-12-17 06:00:00',\n", - " '2015-12-17 09:00:00', '2015-12-17 12:00:00',\n", - " '2015-12-17 15:00:00', '2015-12-17 18:00:00',\n", - " '2015-12-17 21:00:00', '2015-12-18 00:00:00'],\n", - " dtype='datetime64[ns]', freq=None, tz=None)\n" - ] - } - ], + "outputs": [], "source": [ "solpos = pvlib.solarposition.get_solarposition(fm.time, a_point)" ] @@ -305,7 +196,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 8, "metadata": { "collapsed": false }, @@ -332,68 +223,68 @@ " \n", " \n", " \n", - " 2015-12-11 03:00:00-07:00\n", - " 12.750000\n", - " 2.751163\n", + " 2015-12-11 20:00:00-07:00\n", + " 14.350006\n", + " 4.831821\n", " NaN\n", - " 84\n", - " 0\n", + " 96\n", " 0\n", - " 84\n", + " 95\n", + " 35\n", " NaN\n", " NaN\n", " 0\n", " \n", " \n", - " 2015-12-11 06:00:00-07:00\n", - " 12.450012\n", - " 4.710085\n", + " 2015-12-11 23:00:00-07:00\n", + " 11.950012\n", + " 4.732230\n", " NaN\n", - " 76\n", - " 0\n", - " 0\n", - " 76\n", + " 79\n", + " 18\n", + " 63\n", + " 17\n", " NaN\n", " NaN\n", " 0\n", " \n", " \n", - " 2015-12-11 09:00:00-07:00\n", - " 11.450012\n", - " 5.164310\n", + " 2015-12-12 02:00:00-07:00\n", + " 8.950012\n", + " 7.086353\n", " NaN\n", - " 50\n", - " 0\n", + " 83\n", + " 83\n", + " 17\n", " 0\n", - " 50\n", " NaN\n", " NaN\n", " 0\n", " \n", " \n", - " 2015-12-11 12:00:00-07:00\n", - " 10.149994\n", - " 4.769444\n", + " 2015-12-12 05:00:00-07:00\n", + " 8.550018\n", + " 0.939202\n", " NaN\n", - " 57\n", + " 90\n", + " 82\n", + " 53\n", " 0\n", - " 0\n", - " 57\n", " NaN\n", " NaN\n", " 0\n", " \n", " \n", - " 2015-12-11 15:00:00-07:00\n", - " 11.950012\n", - " 5.694805\n", + " 2015-12-12 08:00:00-07:00\n", + " 6.850006\n", + " 3.749733\n", " NaN\n", - " 84\n", - " 0\n", + " 10\n", + " 9\n", + " 1\n", " 0\n", - " 84\n", - " 0.00029\n", - " 53.6862\n", + " 75.644939\n", + " 49.829348\n", " 10\n", " \n", " \n", @@ -402,28 +293,28 @@ ], "text/plain": [ " temperature wind_speed pressure total_clouds \\\n", - "2015-12-11 03:00:00-07:00 12.750000 2.751163 NaN 84 \n", - "2015-12-11 06:00:00-07:00 12.450012 4.710085 NaN 76 \n", - "2015-12-11 09:00:00-07:00 11.450012 5.164310 NaN 50 \n", - "2015-12-11 12:00:00-07:00 10.149994 4.769444 NaN 57 \n", - "2015-12-11 15:00:00-07:00 11.950012 5.694805 NaN 84 \n", + "2015-12-11 20:00:00-07:00 14.350006 4.831821 NaN 96 \n", + "2015-12-11 23:00:00-07:00 11.950012 4.732230 NaN 79 \n", + "2015-12-12 02:00:00-07:00 8.950012 7.086353 NaN 83 \n", + "2015-12-12 05:00:00-07:00 8.550018 0.939202 NaN 90 \n", + "2015-12-12 08:00:00-07:00 6.850006 3.749733 NaN 10 \n", "\n", - " low_clouds mid_clouds high_clouds dni \\\n", - "2015-12-11 03:00:00-07:00 0 0 84 NaN \n", - "2015-12-11 06:00:00-07:00 0 0 76 NaN \n", - "2015-12-11 09:00:00-07:00 0 0 50 NaN \n", - "2015-12-11 12:00:00-07:00 0 0 57 NaN \n", - "2015-12-11 15:00:00-07:00 0 0 84 0.00029 \n", + " low_clouds mid_clouds high_clouds dni \\\n", + "2015-12-11 20:00:00-07:00 0 95 35 NaN \n", + "2015-12-11 23:00:00-07:00 18 63 17 NaN \n", + "2015-12-12 02:00:00-07:00 83 17 0 NaN \n", + "2015-12-12 05:00:00-07:00 82 53 0 NaN \n", + "2015-12-12 08:00:00-07:00 9 1 0 75.644939 \n", "\n", - " dhi ghi \n", - "2015-12-11 03:00:00-07:00 NaN 0 \n", - "2015-12-11 06:00:00-07:00 NaN 0 \n", - "2015-12-11 09:00:00-07:00 NaN 0 \n", - "2015-12-11 12:00:00-07:00 NaN 0 \n", - "2015-12-11 15:00:00-07:00 53.6862 10 " + " dhi ghi \n", + "2015-12-11 20:00:00-07:00 NaN 0 \n", + "2015-12-11 23:00:00-07:00 NaN 0 \n", + "2015-12-12 02:00:00-07:00 NaN 0 \n", + "2015-12-12 05:00:00-07:00 NaN 0 \n", + "2015-12-12 08:00:00-07:00 49.829348 10 " ] }, - "execution_count": 13, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -441,14 +332,34 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 9, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Sx3o92UkpUs8HlS6RTGMxka54OoQgCGh1WzAbiBU1CYKAZCr7s1eqqRBYqome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\nexL9EYbBKi8AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "temperature = forecast_data['temperature']\n", - "wnd_spd = forecast_data['wind_speed']" + "forecast_data['temperature'].plot()" ] }, { @@ -460,58 +371,7 @@ }, { "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "DatetimeIndex(['2015-12-10 20:00:00', '2015-12-10 23:00:00',\n", - " '2015-12-11 02:00:00', '2015-12-11 05:00:00',\n", - " '2015-12-11 08:00:00', '2015-12-11 11:00:00',\n", - " '2015-12-11 14:00:00', '2015-12-11 17:00:00',\n", - " '2015-12-11 20:00:00', '2015-12-11 23:00:00',\n", - " '2015-12-12 02:00:00', '2015-12-12 05:00:00',\n", - " '2015-12-12 08:00:00', '2015-12-12 11:00:00',\n", - " '2015-12-12 14:00:00', '2015-12-12 17:00:00',\n", - " '2015-12-12 20:00:00', '2015-12-12 23:00:00',\n", - " '2015-12-13 02:00:00', '2015-12-13 05:00:00',\n", - " '2015-12-13 08:00:00', '2015-12-13 11:00:00',\n", - " '2015-12-13 14:00:00', '2015-12-13 17:00:00',\n", - " '2015-12-13 20:00:00', '2015-12-13 23:00:00',\n", - " '2015-12-14 02:00:00', '2015-12-14 05:00:00',\n", - " '2015-12-14 08:00:00', '2015-12-14 11:00:00',\n", - " '2015-12-14 14:00:00', '2015-12-14 17:00:00',\n", - " '2015-12-14 20:00:00', '2015-12-14 23:00:00',\n", - " '2015-12-15 02:00:00', '2015-12-15 05:00:00',\n", - " '2015-12-15 08:00:00', '2015-12-15 11:00:00',\n", - " '2015-12-15 14:00:00', '2015-12-15 17:00:00',\n", - " '2015-12-15 20:00:00', '2015-12-15 23:00:00',\n", - " '2015-12-16 02:00:00', '2015-12-16 05:00:00',\n", - " '2015-12-16 08:00:00', '2015-12-16 11:00:00',\n", - " '2015-12-16 14:00:00', '2015-12-16 17:00:00',\n", - " '2015-12-16 20:00:00', '2015-12-16 23:00:00',\n", - " '2015-12-17 02:00:00', '2015-12-17 05:00:00',\n", - " '2015-12-17 08:00:00', '2015-12-17 11:00:00',\n", - " '2015-12-17 14:00:00', '2015-12-17 17:00:00'],\n", - " dtype='datetime64[ns]', freq=None, tz=None)\n" - ] - } - ], - "source": [ - "plotTime = fm.time.tz_localize(None)\n", - "plotTime = plotTime.tz_localize('UTC')\n", - "plotTime = plotTime.tz_convert(fm.time.tz)\n", - "plotTime = plotTime.tz_localize(None)\n", - "print(plotTime)" - ] - }, - { - "cell_type": "code", - "execution_count": 31, + "execution_count": 12, "metadata": { "collapsed": false }, @@ -519,18 +379,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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5q1fdeWRkIB7kpXW0Vrenyp1HOPa4aWq2+amQthhP+VMHKNdot3IQr/QM4Xeh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wZKFdnT6PgEp9cJbZ1LZ0urJji4YVTM7kYJpm25sqe5kbE/9mWvrkD3zgA1i9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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -539,8 +399,7 @@ ], "source": [ "ghi = forecast_data['ghi']\n", - "#ghi.plot()\n", - "plt.plot(plotTime,ghi)\n", + "ghi.plot()\n", "plt.ylabel('Irradiance ($W/m^{-2}$)')" ] }, @@ -582,64 +441,26 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "converting to UTC\n", - "localized time\n", - "converting to UTC\n", - "DatetimeIndex(['2015-12-11 03:00:00+00:00', '2015-12-11 06:00:00+00:00',\n", - " '2015-12-11 09:00:00+00:00', '2015-12-11 12:00:00+00:00',\n", - " '2015-12-11 15:00:00+00:00', '2015-12-11 18:00:00+00:00',\n", - " '2015-12-11 21:00:00+00:00', '2015-12-12 00:00:00+00:00',\n", - " '2015-12-12 03:00:00+00:00', '2015-12-12 06:00:00+00:00',\n", - " '2015-12-12 09:00:00+00:00', '2015-12-12 12:00:00+00:00',\n", - " '2015-12-12 15:00:00+00:00', '2015-12-12 18:00:00+00:00',\n", - " '2015-12-12 21:00:00+00:00', '2015-12-13 00:00:00+00:00',\n", - " '2015-12-13 03:00:00+00:00', '2015-12-13 06:00:00+00:00',\n", - " '2015-12-13 09:00:00+00:00', '2015-12-13 12:00:00+00:00',\n", - " '2015-12-13 15:00:00+00:00', '2015-12-13 18:00:00+00:00',\n", - " '2015-12-13 21:00:00+00:00', '2015-12-14 00:00:00+00:00',\n", - " '2015-12-14 03:00:00+00:00', '2015-12-14 06:00:00+00:00',\n", - " '2015-12-14 09:00:00+00:00', '2015-12-14 12:00:00+00:00',\n", - " '2015-12-14 15:00:00+00:00', '2015-12-14 18:00:00+00:00',\n", - " '2015-12-14 21:00:00+00:00', '2015-12-15 00:00:00+00:00',\n", - " '2015-12-15 03:00:00+00:00', '2015-12-15 06:00:00+00:00',\n", - " '2015-12-15 09:00:00+00:00', '2015-12-15 12:00:00+00:00',\n", - " '2015-12-15 15:00:00+00:00', '2015-12-15 18:00:00+00:00',\n", - " '2015-12-15 21:00:00+00:00', '2015-12-16 00:00:00+00:00',\n", - " '2015-12-16 03:00:00+00:00', '2015-12-16 06:00:00+00:00',\n", - " '2015-12-16 09:00:00+00:00', '2015-12-16 12:00:00+00:00',\n", - " '2015-12-16 15:00:00+00:00', '2015-12-16 18:00:00+00:00',\n", - " '2015-12-16 21:00:00+00:00', '2015-12-17 00:00:00+00:00',\n", - " '2015-12-17 03:00:00+00:00', '2015-12-17 06:00:00+00:00',\n", - " '2015-12-17 09:00:00+00:00', '2015-12-17 12:00:00+00:00',\n", - " '2015-12-17 15:00:00+00:00', '2015-12-17 18:00:00+00:00',\n", - " '2015-12-17 21:00:00+00:00', '2015-12-18 00:00:00+00:00'],\n", - " dtype='datetime64[ns]', freq=None, tz='UTC')\n" - ] - }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 20, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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oOiUnk5EetND/8YoDbbfbeeGFF0hKSsJmszF9+nQaN27Mo48+SqtWrQCYOnUq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54sSJ3H777SxdupSvv/4ajUbD1KlTGTRokNfLIxpq1TEdPEDWurVo68fT4MGH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\nrxDVf4BPFjEoD5EFdaE4HGT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/8s9/PkVYWChvvz2fV155nv3795Kenl7kbzNt2mQ+eGY2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\nFNFCCCGEEEL4SIpoIYQQQgghfPT/AWDiaLcgpPjyAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -648,7 +469,6 @@ ], "source": [ "solpos = pvlib.solarposition.get_solarposition(fm.time, a_point)\n", - "\n", "solpos.plot()" ] }, @@ -670,7 +490,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 14, "metadata": { "collapsed": false }, @@ -678,18 +498,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 21, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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ltU2bdxcoJiJYSfFWo+MAAC6TS0eu7777bu3YsUN5eXlKS0tz3m6z2RQfH3/Z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\n8IzzPRfy8/OVk5OjPXv26Pbbb1e3bt3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GPtuZr0CrRUN7x5sdB4CPcrtc9+vXT1dddZVuuOEGSVJZWZnHQwEA4Gu+zT+lguNVGtwz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\nAQAAQPNlWrm2WCx65JFHznr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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -697,10 +517,6 @@ } ], "source": [ - "#start = datetime.utcnow() # today's date\n", - "#end = start + timedelta(days=365) # 365 days from today\n", - "#time = pd.date_range(start,end,freq='H',tz='US/Arizona')\n", - "\n", "dni_extra = pvlib.irradiance.extraradiation(fm.time)\n", "dni_extra = pd.Series(dni_extra, index=fm.time)\n", "\n", @@ -719,7 +535,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 15, "metadata": { "collapsed": false }, @@ -727,18 +543,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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qmBba25Kuv7unAPrwww+HYRiBBNDvec97cNlll2HVqlVORY5MJjPlvz8w4O2w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\nhg0b8O7dOzQ3N6+6yCF9rGwQDodRU1MDu92Ot2/f4uHDh9i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GcVxULIcPLMm4nUMNtVUZjgWZuCdaDbUmHxwLMjXb8htgEt2SuJ1DPj6w1MDtHPJZtgPL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\nc85HT09P1VNS4BjTAqVSyWQyGVMul397/efXNzc3ZmpqyuT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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -775,7 +591,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 16, "metadata": { "collapsed": false }, @@ -783,18 +599,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 25, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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dKsIRHRHd4O1bCXGFm1IR77gRkd3FVFIyYcIENDU14dixYzh69CgOHTqE999/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\nIMENAABBD5WFIpjvdlf0AAAAAElFTkSuQmCC\n", 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SaNVoc7yfO3XTxEyu0lPJQpId5r7xvXSEk0dcy2TLiEUU5+/QDd50+ifTY608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\nRjxmtMk3UadGmwGGCM7FPMKLOvpFLKIy0BaI2VT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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -820,7 +636,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 17, "metadata": { "collapsed": false }, @@ -828,18 +644,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 26, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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OefUiuZMdP/3JT34yzjvvPLzoRS+Coij4l3/5FyiK4uugyJkt2frLMpY784ad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aRe6o1f4b3rjh+9OLxSKOHTuGWCyGAwcOYGRkd+TQEHml9FmRAGjebO0SYQwc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\nWhAEQRAEQRDOkv8Po08ktekjz1QAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -864,7 +680,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 18, "metadata": { "collapsed": false }, @@ -872,18 +688,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 27, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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+wfZURiN+Ujnr5qYLL6Inc0VqdaWHHgcpHJbDRI8K2jRkbnpr+rFZgkxtakU8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RnGgLVSiXdKJ1B/qhhx5CURTU+csUFEXB4/GwadMmzjnnnP6s8jQG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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -915,7 +731,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 19, "metadata": { "collapsed": false }, @@ -923,18 +739,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 28, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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pu3MGu3X0miedTAatovj91xZSOrIPsnjxU8yd+6s2n7/77nk8/njb1u5BtiW0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XRNUdHXpqAvL4NpMgAbQHfwD4DDwT8Bi6bNx9qNV2D+zj4cefBBHHnicRzZ+gQKZ5yJjosuhjHn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\nLuQmQesgH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jjz+FBQv+iieeeAz/+78P46GHHsVf//oMzjjjLLzwwnOoqDiKoUOH4bHHFuKZZ5Zi7drV\nrd6vuroKr722As888wIefvjPCEYyaRnTLdvTpt2MwsJCLFjwJO69dz769z8Rs2bd2+r93nnnn5g/\n/yE89dSzyM7OAQD86U+/xz33zMbChYtxzjmjsXz5i/Z+KccJLU1mTu648cgYfAp8X21Fw/993Nmi\npQ2xFm2AwkdSBR+HbtfdAKn/ANR//CH2PzAf/u++S7Fk6YMa4y6PhQkCevziNoj5Bah8fTUav/0m\nFeKlBZqqQgsEWtwT8i+dgJxR50DesxtHKYenQ4ktVBBL5uBT0GPadKh+Pw4+8ViH9r1IS4v2NeNP\natP6DADFxTmoqGiw7XcyxlBSciYAID+/ABkZmdA0FUVFRQCAkpIz8MwzT8Hj8eCbb7bjiy8+R2Zm\nFgKB1svQHDz4PQYMGAhR1IdxyJDTjPeaTtzWJnLs6/PmPYinn34C1dVVOOec0QCA/fv34tFHHwYA\nhEIh9OnTN9lHTws0RQEYA3O5mr3HBAE9pk3Hvvt/i6OvLEfmqUMg5uWnQMrjG65ciEVFCFVWIlhd\nBXf//qkVKg3hh06pb1/0Pf8+VL6xBjX/fBsH/vQHFF1xFfIv+TGYQDaejiS26khTxBwPet42Awf+\n92EcfuZp9J37AJxNrK6EdbQAP+w0HwPGGLr//EYEyo+g/qMPIPXpg/wLf9TZIqYFRox2Cwcez7mj\nEaw4iqo338Chvz6uexda+JxVaLXrJDRNw86dOwDolmhFURAMBlFVVQkA2Lr1C/Tt2w/r169DTo4H\n8+Y9iClTroPSxEoXS+/efbF37x4oioJwOIxdu3YmJIvL5TJ+765dukzBYBAbN76DBx54CE88sQhv\nv/0Wjhw5gr59+2Pu3N9h4cLFmDHjlxg9eoyVr+G4RZX1pJfWwkKcxcUo/ulkqI2NKH9xKVkwOgCu\nXLh66C5AsminhrhSl6KI4p9eg94zZ8GRnYPKNa/h+8ceQbCmJsVSHt9EY7SbK3kAkDHwJHSbfC3C\nDQ04vPgpaKFQZ4qXFqhtKHj89V63/xIOjwcVK1+Bb/vXnSle2tDWoRMACi67Ap5zz4O89zscee6Z\nDsldSEuLdipgjKG6ugp33TUDPp8Xs2bNgSAIuO++34AxBo/Hg/vuux9VVVV44IHfYvv2bXA6nejT\npy8qKysNy3cs+fn5uP76aSgtvQl5efnIyMiI+30tyQAAF1zwI8ybNxtbt36BwYNPBWMMTqcTHk8u\nfvGLaZAkCaNGnYMePXrg17+egwcfnIdwOAzGGObMmddxX9IxjKrEJ720RO4PxqHh883w/ecr1H/8\nEXLPo0OLnfBKC1KvXmj8+j/UtCZFRLP8oxtb5qlD0P/+B3Hkhefh2/ol9t//W/SYdhOyzzwrVWIe\n1xhVR9ytr0m5P7wA/j270fDp/6Hi1ZXodu11nSVeWtBanHwszoIC9Lr9l/j+kT/i8OKn0fe+uXB1\n79FZIqYFLRUqiIV7F4LVVfB+8TkqV69C8aQptspAinYncsYZw3HbbXfEvTZixKi4nz2eXCxd+nLC\n95ww4XJMmHB5q++/+uqbAICePXth0aLnjX8vWdI81nratJsxbdrNca8NHnwKFi5cnLA86YqqyO0m\ne+khJDdh3/y5qFixHJlDToMzn0JI7IJb8Vw9ewKgWtqpojULkiMnB71u/yXq3tuIilWv4NCTC5H7\ng3EovubaDnHXpjOGctGGkscYQ/cbboRy4ABqN/wb7oED4Rl1TmeJeNwTW8u8LTIGnoRu1/8c5Uuf\nw6G/PoE+986FI4MSh+2CNw1iYusJp0wU0WvGnSh7+EHU/PMfcBZ3Q9648bbJQKEjnYjZahMffrgJ\nd955a7P/Nm16z14BCdOospKQsuAsKkbxNZOh+v04+uLfKITERrgVz9mtO+BwkEU7RfBxaMnDwxhD\n3g/Ho+9v74erdx/Uvf8eyn7/AJQDZZ0t5nFN9LDT9pokSBJ6zbgDTHKj/IW/QTl0sDPESwta6q3Q\nGrljzkfehT9C4PAhHFmyiEov2ojRNKgd/cuRlYUT7poJR04Oji5fBt/X22yTgSzancSll5ovozRm\nzFiMGTPWRmkIO9Gzy5UWk15aInfsOHi3bIFv239Q//GHyD3v/A6WMD0wLEgZGRDz8xGqIYt2KlAV\nBXA4wMTWtxfphBPQ9765qFz9Kmrf+TfK/vA7nHD3Pcg85dROlPT4RW0hfKc1XD16oseN03F40ZM4\n8twS9Jt7fwdLlx60VMu8LYonTUbg4EH4/vMVGrd/jaxhp3ekeGlDbNOg9nAVd0OvO+7CgYd/j5p/\n/xNZQ4fZIgNZtAnCIlowCGhawgsqYwzdp90IAKjvpM5U6UBsyIIzvwCh2lpK8koBqiwnZEESnC50\nm3Ideky/BVooBO+XX3SShMc/miK3WgWpJXJGjITUrz8CB7/vYMnSByNGO0EljzkcyDlHD93pyFJz\n6UbTpkHtkTHwJDBRhNrYaJsMpGgThEV4s5q24iGb4iwsApMkw71IWCe2drBYUAhoGnVeSwGaoiTk\nLue4TxwIIOqRIKyTqLs8FiEjA1ooRIdTm2iv6khL8HmjBmgu2IWqyEmtR4Ae9ta0L4MVSNEmCIu0\n1hyiPQRJIuXCRrQYizbvxhasojjtzkbf2JJRLvTPaqRc2IaqyEkd/IHoOJCSZw/tlZVrCWMukAHG\nFtpqGtQWguS2dW8mRZsgLGJmQdU/b++pOd0xKi24XHAWFAIAxWmnAFVREnaXA1FPEHl37EOVFVMH\nfwBQlUBHiJR2aAlWHYmF0WHHVtpqGtQWdhvBSNE+jpg/fw6+/PJzfPrpJ3jzzdct3Wv16pU2SXX8\nE11Qk3VPuY1rCeuosgwmSWCCYFi0Q2TR7lQMC1IScyFqSSUFzy40k+5yfi1hnWSqjnCMuSDTvmAH\nZsJ3AH0u2Lk3k6J9XMHAGMPZZ5+Lyy+/ytKdXnzxeZtkOv5JtJRWU/ipmUr82QOPSwVgWLSDZNHu\nVKLKRRJWPEEAczrJom0TmqbFzYVEMeKD6fBvC9Fa5snHaFMYlT0k0jSoJQRJghYM2lZmMS3L+63Z\n/Ra+PNp2jUSHwBBWE1eAzuw2DD85qfUSfuvXr8MHH7yHxkY/6upqceONNyMzMxNLliyCy+VCbm4u\n5syZj4yMDDzyyEM4evQoqqoqMWbMWNxyS2mr9129ehX+/ve1KCwsQk1NDTRNw/r161BWth9XXnk1\nfvObu5Gbm4dzzz0PZ589Go8//ig0TYv8vnnIzMzCggX/i2+//QahUBDTp9+KPXt2o76+Ho899ifM\nnPk/CX8H6Qo/NSfjLgciyoiqQguFwJytF9MnEiM26YUs2qlBbaf1d2swSSLlwia0QADQNPMx2qRo\n24KZkEJGFm1bSbRpUFNi54IdzYPSUtFOFYqi4PHHn0JNTTVuvvkGCIIDTz/9HIqKivDqqyvwwgvP\n4eqrr8HQocMwceKVUBQFV189oVVFu7q6Cq+9tgLLlq0CAEyf/jMA8Y1xqqur8fzzyyGKIn7xi2m4\n77770a9ff7z11losX/4iTjllCOrq6rBkyQtoaGjAqlUvY/r0W7FmzSpSshPErEU76qpVAFK0LaMp\nCoScHACAkJkJJrkpRruTMRJSzSQGk3JhC1aVCwpnswczSfKUkGovZsJ39M/HhFGRom2On5w0sU3r\nMwAUF+egoqLBtt/JGENJyZkAgPz8AmRkZELTVBQVFQEASkrOwDPPPAWPx4NvvtmOL774HJmZWQgE\ngq3e8+DB7zFgwECIkcYQQ4ac1uwzPXv2Mt4vK9uHRx99GAAQCoXQp09flJXtw9ChemH8nJwcTJ9+\nq23PnC6YteLFnZqzs22XK53QNC0So62PAWMMzoICBKtI0e5MDO+OibkQqq/vCJHSDrPJ2YY1lWK0\nbUGzUHWEwqjsIdmmQZxogrY9Bx6K0e4kNE3Dzp07AOiWaEVREAwGUVVVCQDYuvUL9O3bD+vXr0NO\njgfz5j2IKVOug9LGote7d1/s3bsHiqIgHA5j166dzT4jCNEh7tOnH+bO/R0WLlyMGTN+idGjx6B/\n/wHYsWM7AMDr9WLmzDsj8tr26Mc9vBSTefcULapW4e7y2AVVLCiA2ugjV3gnYj5fwU0lzWxCM5kA\nRjHa9qIqSlJNgwC9aQ0TRQqjsolkmwZx7PYspKVFOxUwxlBdXYW77poBn8+LWbPmQBAE3Hffb8AY\ng8fjwX333Y+qqio88MBvsX37NjidTvTp0xeVlZWG5TuW/Px8XH/9NJSW3oS8vHxkxLg4ePhIbBjJ\nr389Bw8+OA/hcBiMMcyZMw+9e/fBli2fYcaMmxEOh3HTTb8AAPTvPwAPPjgPc+f+roO/mWMf8xbt\nSOILbWyWUVuo/GLEaVdXwdWzV0rkSjesWFO1UAhaOAzmcHSEaGmDMQZmlQtaj2xBlWUwl14FKRkY\nhVHZhtmqI3Z7FkjR7kTOOGM4brvtjrjXRowYFfezx5OLpUtfTvieEyZcjgkTLm/1/UWLotVDBg8+\nBQsXLm72mbvvntXstSeeWJSwDOkOn4zJZJfHfp42Nuu0pOAZlUeqq0nR7iQMa6oFJc+RmWm7XOmE\nmWoXsZ+ng789qErytcyBSLMUsmjbgtUwKrs8C6RodyLJtMON5cMPN2HlyuXNXp806VqMHTvOolSE\nVaw0rNGvp0XVKloLiUexFm2ic1Ath1GRom0VVfYDsLIeUQiPHZhp/Q3o4xBusC8/LJ0x0zQIiAmj\nssmzQIp2J3HppW0nX7bFmDFjMWbMWBulIexEtWzFo43NKi3VS421aBOdg9m6tWRNtQ8z1S6A2Bht\nahxkB3oVJE/S1zFJglpZ0QESpR/mq47ocfV2GcFSqmi//vrrWLNmDQC99N2OHTvw8ssv4w9/+AME\nQcCgQYMwf/58MMawatUqrFy5EqIoorS0FOPGjUul6ARhoJmOiaQYbbtQW8guj1q0SdHuLFoah0Sg\nQ6d9mKl2oX/eFXc9YR5eBSnZPQGIb5aSbHw3EY/ZMKro3nwcxGhfddVVuOoqvYPh7373O0yaNAlP\nPvkkZs6ciZEjR2L+/PnYsGEDSkpKsGzZMqxZswaKouDaa6/F6NGj4Uoim5cgOgojuzzJWtjM5lNz\nOhMNWYhJhsyn0JHOpqVxSASqeGEf5mO0aQzsQgsGI02DzMRo29ssJZ2xXurSHu9Olzgubdu2Dbt3\n78akSZOwfft2jBw5EgAwduxYfPzxx9i2bRuGDx8Op9OJ7Oxs9OvXDzt3Ni9lRxCpwGx2OSkX9tFS\nvVTB5YIjJ4dCRzoRqxZt8u5Yh6qOpB6zZS5jr6G5YB3zYVT2eti6hKK9ePFi3HGHXo1DiyngnJWV\nhYaGBni9XuREOr7x171eb6fLSRAtYT67nBZUu2jNciEWFCJUXRW3rhAdh9mwBarAYx9WS5rRemSd\naC3z5ENHop4FCuGxivkwKnvnQsqTIevr67Fv3z6MGqWXuYttsOL1euHxeJCdnQ2fz2e87vP54PG0\nnmSQn58JUbRei7W4OKf9D3VB1qxZg7179+Kee+5p8f2FCxeiuLgYU6ZMsXyvjuZYGIN9wQCcmRlJ\ny+ptKMABAJKgdunn7MqycZTISpbXPR8FMfJW9ugGZf8+5LsBp6frP0dbHAvjUKWFAQDFvYuS+r7V\nolxUAMhyde3n7MqyceqYCgAo6lmIjCTl3S2KEMLBLv+cXV0+n0/3omXl5yQta0NeNuoB5GaKyO7C\nz9nVxwAAjqghAEC3EwqT8jg3yoUoA+CyaW9OuaK9efNmnHPOOcbPp556Kj777DOMGjUKmzZtwrnn\nnovTTz8dCxYsQCAQgKIo2LNnDwYNGtTqPWtqGi3LZXcL9s7E61XQ2BhoVf7GxgAaGuSEnq+9e3Uk\nx8oYhPx+OLOyk5Y10KgvAr7ahi77nMfKGDRU1en/l1WEY+RVs/QD+ZFd++Hu1z8VotnCsTIO/nrd\n01jtDUJQEpfXFwmFrK+sg9BFn/NYGYPGOl3G2sYQvEnKy1wSAj5/l37OY2Ec/Ed0RVtWhaRlVVRd\nIaw+Ug1/TvNGdV2BY2EMAEBp8IFJEiqrfO1/OIagT9+bG2u9CT9nWwp5yhXtffv2oW/fvsbPs2fP\nxty5cxGlCALsAAAgAElEQVQMBjFw4EBccsklYIzhhhtuwNSpU6GqKmbOnGkpEbLi1RVo2LK5zc/s\ndwgIh9WE75kzYiSKJ7VuIV6/fh0++OA9NDb6UVdXixtvvBmZmZlYsmQRXC4XcnNzMWfOfGRkZOCR\nRx7C0aNHUVVViTFjxuKWW0pbve9bb72BNWteRU5OLpxOERdc8KO491955SW8++6/4HCIKCk5E6Wl\nd0LTNGza9B42bnwHsizj7rt/jVNPPQ2rV6/Epk3vwe/3Iy8vDw899GjCz5+uWMsup6ojdtFaGSex\nUC/xF6quBo5hRftYQZVlQBDAREoMThXRBlrmKl5QyIJ1outR8iGFFEZlH6qiWIqTt2supFzRnj59\netzP/fv3x7Jly5p9btKkSZg0aVJnidUhKIqCxx9/CjU11bj55hsgCA48/fRzKCoqwquvrsALLzyH\nq6++BkOHDsPEiVdCURRcffWEVhXt2tpaLF/+IpYufQVOpxO//OVtce/v2bMbGze+g0WL/gaHw4H7\n7puFjz/+EIwx9Op1An7969nYu/c7PPjgPDz33DLU19fjL395CowxzJx5J779dntnfC3HNFogYDq7\nnBZU+4gmgMWPgzNSeSRIlUc6Bb6xJducixKD7cNsQiq/Juyj/CerGGNgwQBDBx7rmG4a5OZGMHuq\njqRc0U4FxZOmtGl9Bux3jTDGUFJyJgAgP78AGRmZ0DQVRUW6a6ik5Aw888xT8Hg8+Oab7fjii8+R\nmZmFQCDY6j2///4A+vc/EVJkQR069PS498vK9uG004bB4XBEfseZ2Lt3j/H7AGDAgBNRXV0FxhhE\nUcT999+LjIxMVFSUIxQK2fb8xytWN7XYexDm0VrZ2OIs2kSHoynmawcDNBfsQFUUMJfLVA1mJklQ\n6VBqGc1S1RFez5waB1lFbxqUfIw1E0XA4Ti+qo6kA5qmYefOHQCA6uoqKIqCYDCIqqpKAMDWrV+g\nb99+WL9+HXJyPJg370FMmXIdlDYGunfvPigr2wdFUaCqajMLdL9+/fHNN18jHA5D0zRs3fol+vbt\nBwDGZ/fs2Y0ePXpiz57d+OCD9/HAAw/j7rtnQdM0qtSQAFFLavL1TpkggDmdpFzYQGvucqql3bmo\nsmKpdjCFUVlHk2VTCh4QaZYSCEBTEw+bJJqjWqg6QhZte+BhnWZCqAAeRnWcVB1JFxhjqK6uwl13\nzYDP58WsWXMgCALuu+83YIzB4/HgvvvuR1VVFR544LfYvn0bnE4n+vTpi8rKSsPyHUteXh6uu+7n\nuP32W+DxeKAoChwOEeFwCIwxnHjiSRg//kKUlk6Hpqk4/fQzcf754/Df/+7C4cOHcNddpQgEApg1\n61707t0bGRkZKC3VQ3kKC4tRWVlpyE60jGaylBZHkNykXNhAa54FMS8PEASqpd1JqIpsdORMBmZz\nTGQ6o4fvmFcuAEALKGAmjAeEDv87ZibKvlJIoT3wpkGWDp2kaB97nHHGcNx22x1xr40YMSruZ48n\nF0uXvpzQ/UKhECorK/Dssy9C0zTccccv0L17DyMsBAAmT74OkydfF3fdTTf9osX7Pf740wn9XiKK\n2eYQHCa5SLmwgdbc5UwQIOblU+hIJ6CpKrRAwGJcKikXVlEV2fDkJEtsd0gzXjpCJ3rwpzCqVGF9\nb5ag+qxXsANI0e5UzFqGP/xwE1auXN7s9UmTroXf78dNN10Pp9OJ004bGqdkEx2P2XbHHEFyI1RX\na6dIaUlb7nJnYSH8u/8LLRwGc1ivr0+0jBawnq9A3h1raJoWUZKtWbRVWQFy7ZQsvdBaqYKUCDQX\n7MGyt9kl2WagIUW7k7j00ommrx0zZizGjBnb4ntjx47DrbfebvrehDViyzi9e+ADDC08Bd0yixO+\n3k73VDrTlrtczC8ANA2h2lo4I8mRhP0Yc8GEkhdNPqK5YAUtFALCYcuKNj80EeaIVh0xEzpCMdp2\nYITvmA2jcruNfAUzicVx97J0NUGkOVxJroeC1f9dh8XbXkRITbxaC5MkaKGQvkESplEVGUySsPHA\nh1ix8/W493jMMIWPdCw8Acy8d8e+5KN0RbNQBQmIiQ+WaRysYEXJ48o5zQVrWKkIBujNm4BICV+L\nkKJNEBZQZT8AICDqYUFHfOXYULYp4esNVy1ZkEwT6y7/9PAWfHDwEwTD0bKYzoiiHayhyiMdiRET\naToRjxKDrRI7Bp8c3oJvq3YldT2tR/YQq+QlW71LcJGibQdWPGz6dfaNAynaBGEBPgkDMUFYb+97\nB5X+xJS6aBIY1Uw1i+EulyT4wxEPQyBaA18siNTSriKLdkdixV0OUGKwHUS9Ci68vOM1LN62FEd8\n5QlfH43RpnGwAv/+Pq7civs++gMOJzMGRrMUUrStEJs/9cmhzaiRk8uFsvPAQ4o2QViAKwZc0T4p\nbwCCaggrd76RkCWDGc0JaGMzixaT4a+E9H/XxSnakdARsmh3KKqFBDB+HVnxrMHXI9XlhKqpCKoh\nLN3+SsLhbHzsKEbbGpqigDmd2Os9gLpAPZ7/ejkC4dabz8VC+Qr2wPfUeih4acerWLj1WcihxPdZ\nbjCw48BDijZBWIBbkBSHrlSf1+tsnJI/CN9U78SXFdvavZ7KmlmHh+8wtwQ5YtGuU+qN950RizbV\n0u5YWuvOmSjULMU6fAxUl37yZ2A44D2Ev+/9d0LXU4y2PfDW33w9OuQ7gtf++2bC11O+gnX433BA\n1Pfm8sajWL7jtYRDeZjLvtr+pGgThAX4JJQjk9ntkDB58FUQBRGv7VoLf8jf5vVUM9U6hovQ5UJQ\n1a1GdYGooi1kZYG5XJQM2cFYj9G2L/koXeFehZCob+1ndS9BUUYh/r3/Pfy3Zk+711OMtj2osgLm\nlgwPW6+sHvjo0Kf4vPyrhK7Xq1GRl9MKfD1SHHr+lMAEfHH0P9j4/YcJXc8NBhQ6QhAphluQ/BGL\ntluU0C2zCJf0G4+6QAPWfffPNq+nmqnW4cqFKjmN12It2owxOAsKEaQ27B0KHwezVUeorJl1+HcX\ncupbe67Lg2lDpoAxhhe+WYnGYDsHf65cUIy2JWIt2iJz4Oah18PlcOHlHasTyt9hZNG2DP/+gpGw\nzkv7X4AcVzZe3/137K7d2+71FKNNEF0EviHJQhgA4HboG9WF/cahe2YxNn3/CfbXH2j1emo9bR2+\nEIad0YzUeqUh7jNiQQFUr5c2rw7Ecpa/MRfIom2WqHKhb+1uUcKA3H64pN941Ci1WLnr9bYujylp\nRvPECpqiQJAkyCEZkiihe1Y3TDn5KshhGc99vbzdmHnBRYq2VXjTIDliBOuWWYzpp+ldsp//+iXU\nNdkjmsKMGG0KHSGIlMIXw0amL5ySqE9OpyBiyuCfQIOGV3asRlgNt3g9xWhbhy+EYWd0OYsNHQFi\nKo/UUPhIR2G1bm3Uu0OHTrPww07QqbvL3Q79O72k/wXo7+mLLeVbsfnIl61eb5Q0oxht0/C+CNyi\nzY0vZ/c8C2f3OAtlDd9j7Z6327xHbLMUwhx8PVJiwjoH5Q/EFQMvRV2gAX/bvrzVfRmwN6yTFG2C\nsICqKGAuF2RNt8LxRRUATs4fiLN7nIUD3kN4/+DHLV5PMdrW4UpBKFbRVuIVbaOWNsVpdxiaxRht\nRnPBMjwELeDQf3aL+lg4BAd+PmQKXA4XVu56HVX+mhavpxht6xg5I24JckiBW4wePK85+Up0zyzG\nuwc+wNeV37Z6D+aSAE2DFkysUgnRHO4l9gv6YYXPhQv6jMUZxUPx39rv8OZ3/2j1ejuNYKRoE4QF\nVNmvWy4iSS+xiyoA/OSkicgSM/HWd/9ssY4noxhty/AFNRhpGgTE19EGYizaFKfdYfADT6MjjDd2\nr8cR39GkrqdDp3WaJmdLjuh61C2zCJMGXQ5/SMayb1dC1ZpbS43yfmTRNk00KViCElYMrwKg7w83\nnXYdREHEi9+ubLW2c9SzQN4ds6hG/hQP69S/U8YYrj/1GnTLKMI7Ze9j69GWq4PZmT9FijZBWEBT\nFAiRsnIMDC7BGfd+tisLV540AUo4gFdbKO8kUIy2ZaJNg6KKtjfoi4uDpDbsHQ//G97h3Yd/l72H\nP27+C977/qOEy2mRom0drpgpjngrHufcniNRErHmvVP2frPreV1/smibhx84NZcTGjQjnJDTO6cX\nrj5pInzBRiz95pUWwxeMRDwaB9PwueBnEUU7ZhwyRDduGXYDXIITy75dhfLGimbX25k/RYo2QVhA\nlWUwyQ05JMMtSmCMNfvMuT1HYGDuAHxV8TW2VX4T9x51hrQOX1C5u5xBH4NYq3Y0dIQs2h2Fka8Q\nsSCF1DBe3bUWT371HGqVunavN6ypdOg0DVfyjCpIjngljzGGqYOvRq4rB2999y+UNXwf/77oBASB\nLKkWMKogRZKzm44BAJx/wrk4o3gYdtfuxdv7NjR732iWQp4F02iKAiaK8EPfW6Um49AruwemnvJT\nyGEFz25bBiUcvwfbuTeTok0QJtE0DWoku1yJSXppCmMM157yEziYAyt3vhE3oQXqDGkZ7trj7vLC\nDF2pjo3TFvPJot3RqLIMMAY/dE/CtCFTMKRgML6t3oU/fPoYvjj6nzavpxht60TjUptb8TjZrixc\nf+o1CGthLN2+AoGY9YgxRs1SLGIkZ7v0k39L+wJjDNed8lMUuPPxj30bsKtmd/z7ZNG2jKrIYO7Y\nsM7m4zCyx5n4Qe/ROOQ7gpebNLPhezNZtAkihWihIKCqECKTuamLMJaeWd1xYd8foEapxd/3/st4\nnVHVEctEGxPoi2T3zGIA8W3YBUmCkJ1NFu0ORFNkfS6o+t9yt6xizCi5CZNPvgpBNYTnvn4JS7ev\naLWWM4WOWIcfOhsF/bDTkjUVAIYUDsa43uehvPEoXt+9Pu49JkmUM2IB/vcbckYU7Vb2hUxnBm46\nbSoYY1i6/RU0BLzGe1TP3DqqHCmxGFbgYA44BbHFz/3kpIkYEKnIs+ngJ8brUQ8bxWgTRMrgbj3B\nrZdxymhlU+Nc0v8CFLkLsPHAh/i+4ZB+LSkXlom6y/W4VK5o1zerPFKIUHV1wjHDRHKosgImRbvh\nuR16KNXY3udizqi70S+nDzaXf4GHPlvQzIIHUPMmO1AVGUwUIWt6tYq2Dv9XDPwxemZ1x6aDH8dV\nwNAt2qTgmYV/d2ExvsRiSwzI7YfLT7wEdYEGvBiToCpQPXPLxDYNau2wAwCiIGL60OuR7czC6v+u\nw966/QDs9bCRok0QJjE2I5cLYS3cLAasKS6HE5MHXwVVU7Fi5xqomkrKhQ1E3eW6Fa8bt2grTWtp\nF0ALBKD6fJ0rYJrANzZ/uLmrtntmMe45awZ+POAi1AXq8fiXz2D1f9chGI6WL6POkNbhhx05HD3s\ntIbL4cS0IddCZA68tONVw6IqSG7KGbEAP/gHIk2D2jrsAMAFfcfi1IKT8U3VTrx74AMA0WYpVM/c\nPLxQgRJS2pwHAJDvzsONp02Fqql49uuX0BDwgjmdAGOkaBNEKuETUHVFkl5aiAFrypDCwTirWwn2\n1pfho0Ofgoki4HCQcmEB7l5tjMSlthQ6AlBCZEfD8xXkkD4eTWNTHYIDEwZchHvOmoFuGUV498AH\n+NOWJ3CgmXeHlDyzGFa8kAJRECG24i7n9M7phcsGXoKGgBfLIzGqgiRBCyjk+TEJj9EORApQZbSS\nu8MRmICfD5mCXFcO1u55G3vryqieuUXimwbJ7RrBAOCUgkG47MSLUavU4W/bX4aGyFygGG2CSB3R\n7HKe9JJYR7yrB10Gt8ONtXveRp3SQBYkixjZ5RF3effWLNr5vJY2JUTajaaqEQuSG0pYgcCEVmMi\n+3v6YvaouzH2hHNx2FeOR7YsxL/2bwQkXTOhQ6d51Jhyo4muR+P7nI+T8wZiW+U3+uFfijRLCdCa\nZAaj3GikClJ7Fm0AyHFl4+dDroWmafjb9uUIRazhFKNtDqNpkMSbBiXWROuifuMwrGgIdtbsxr/2\nvwdm095MijZBmKRp0ksiCyoA5EoeXDHwEvhDMv6+958UE2kRnl2uRNzlOa5suB1S8zbshbzyCFm0\n7YYrZTwxmMdnt4bkcGHy4Kswo2Q6spyZWLvnbXxapTeOoDAq82gyt2jLCSvaAhNww5DJcDvceGvv\nvyhvxCJcOZbFlksstsbggpPwwz5jUCXXoEzRmz3RYcccsWGdGrTk5sKpk8HA8G31Ttv2ZlK0CcIk\nfEENRxTt9pIhYxlzwjkQmQMHvUci7ina1MxiZJeHZEgOFwQmwCPlNG/DHrFoUxt2++FzQZAk+ENy\nwhak0woHo7TkRgDA4ZDeFpwUPHNwdznj5UYTHANAj1Htld0D3oDPKC1Ha5I5+N+vIkQU7STGoU/O\nCQAAOZLYTRZtc/DY9mhYZ+J7c6YzA5LDBSWk2LY3k6JNECbRmrT+TtSiDegnZ7eoW54Y1a21RFx2\neeSwk+vywBv0xXVdi1q0SdG2G271YZK7Wdvp9sh2ZgGAHvpjU/JROsLjeXlJs0TiUmNxOyRo0KC5\nKITHCvx7a4woy8mMA583vFQpxWibg1drUV3JhXVyJIcEf1gx9mar+QqkaBOESYzscicv45S45QLQ\nJ7McjpyaAwFoqmq7jOkAzy6PjcXLlTwA4rtDirl5AGMI1ZCibTdcOeZKXjIWJL4Jyqoe403Nm8wR\n2/obSM6KF/t5rpzQgcccvOyrHEnOzkhmLkQ+6xfUuHsRycE9ASGR1zJPbm92i27Dog1NgxYMtn9R\nG5CiTRAm4ZYLnvRiZmNTIoo2QDVTzRCfXR614nlcOQAQF6fNHA6I+fkIVlGMtt3wjU1zOaFqalKH\nTj5mSkgBc0mUGGwSfkBRuaJtwqINAGGRFG0r8H3BFyk3mpxFW583RugI7Qmm4H+7PKzTjHdHDssx\n+QrWDv9t1/7pBBYvXoyNGzciEAhg6tSpGDlyJGbPng1BEDBo0CDMnz8fjDGsWrUKK1euhCiKKC0t\nxbhx41ItOpHmGLF4IoCQuY1NDilxhfEFd4bdYh7XGMqAy4WgGmxm0a5T4kv8ifkFkPd+B01VwQSy\nM9gFj2PkbaeTCaNyCA44Bafu3XFLFJdqkublRpN0l0c+H3Lq84JitM2hKgrgcMCv6QfGZKypfAwa\nmW4Np7lgDq4YB7m32cRcCKohILbPRY55eVK603z66af48ssvsWLFCrz00ks4cuQI/vjHP2LmzJlY\nvnw5NE3Dhg0bUFFRgWXLlmHFihV47rnn8Oc//xkBysYlUozGs8sdPOkl+ckcFxNJbsKkMSwNUrwV\nL9fFFe0mCZGFhYCqIlRb23lCpgFGNzwTicFAjAXJRYnBZmmanJ1sKBv/PO9oSDHa5lBl3RIqq4E2\nW3+3BF+//CwAMEZVR0yiGU2D2u/O2RJ8/dKc9nh3Uqpof/TRRxg8eDBmzJiB2267DePGjcP27dsx\ncuRIAMDYsWPx8ccfY9u2bRg+fDicTieys7PRr18/7Ny5M5WiE4Qx+bibL9mNjTcyUJ26kkihI8lj\nZJc74614uZJufqhvWuIvP5IQSXHatsLHgVtDk42JlES9g5vgdtuSfJSO8PUo6EysI2FT+NzhHQ0p\nhMccmqI0S85OFD5vZDWgl5Yji7YpDIt25IyTdDJkZC6EI/uKVUU7paEj1dXVOHz4MBYvXowDBw7g\ntttui1tgs7Ky0NDQAK/Xi5ycnLjXvV5vKkQmCINo62/dzZfsxsbjxlQnb05Ainay8LjUMHeXt2PR\nFgsjTWuqqoCBJ3WWmMc90Y1NAMLJx0RmOCQ0BBrAXHlG8hFzuTpC1OMWPgahiLs8Wa8CH7OgCLgA\nSko1iarIcGRl662/k9wTXIITDMwIKaQYbXMYYZ0OAJqJZEhjb9Yt2la9bClVtPPz8zFw4ECIoogB\nAwZAkiQcPXrUeN/r9cLj8SA7Oxs+n8943efzwePxtHHfTIiRhA4rFBdbCMohbKErj0GlpivY4UwG\neIHe3QqRl5G4vPnf5wCHAafHDQVAToaA/C74vF15DGoP64cUZ46+kBZ4PCguzkFWnr60+eGPk1/o\nfwIqAEgBX5d+rpboyvLy8ClnrguoBopyc5OSNzsjCwe8h+D2ZKERQEG2CGdu13verjwG4YiC7ch2\nASpQlJfcGHRrzAMACDm6hy1D7LrP21XlAoDdigJX925QVAVFmQVJy+p2SggjCGdmBsKy0mWftavK\nBQC+SNUWZItAA9C9MD8peQsOe4CD+t4cAJAtMRRaeN6UKtpnnXUWXnzxRdx4440oLy+HLMs455xz\n8Nlnn2HUqFHYtGkTzj33XJx++ulYsGABAoEAFEXBnj17MGjQoFbvW1PTaFm24uIcVFQ0tP9BosPo\n6mPgr9e9KjVB3fLjrQsh6E1cXi2gb4zekJ6dXlNeg1AXe96uPgbecr3JSUM4cuhRGCoqGqBpGlwO\nFyobquPkl8VMAEBt2SG4uvBzNaXLj0O17jmojoQbhGUkJa9D1bciWdPnRMXBKjgDXStZtauPQX2l\nnndQFwwBDiDo15KSN9CoKye1gQAyADRU13fJ5+3K46CpKtRAAGGHE/6gFyKcScsqCRK8ih+a6EJY\nruuSz9qVxwAAvDW6bLURj4DsDaOCJS5vWNHXofpgEA4AtRW1UNt53rYU+ZQq2uPGjcPmzZvx05/+\nFKqqYv78+TjhhBMwd+5cBINBDBw4EJdccgkYY7jhhhswdepUqKqKmTNnwkVuRSLFqLIM5nTCrwbA\nwOASnEldz0NNgqIAJyhG2wxxIQuIxpkyxpDrykFtoGl3SD1GO0gx2rbCY0mViCPRbHwwj7Unl3ny\nRN3lkZyRpN3lkfjgiDWQyvslT2wVpGRaf8fidkhoCHr10BFZhqZpYIzZLOnxjWY0DdINMMknBvO9\nmcEB62GdKS/vN2vWrGavLVu2rNlrkyZNwqRJkzpDJIJICJ70okQadCS7GPLJHHAATlCMthn4d9ZS\n0kuu5EFl7T6E1TAcgq4BCtnZYE6nHqNN2EY0MZhvbGbzFSJZ/pQEljT8O5NFDQiZqB0cOezw5G6K\n0U6eaC1zcyUW9WvcqPRXQZCy9XyFUBDMSYbFZODrUWMkf8ps86aAyOCG9RjtruWbI4hjCFWRwdwS\n5JCc9IkZiFqcAhElkax4ycM3NqOMU4wVL9flgQYNDcFo4jRjDGJBIVUdsRkjMdgodZlsJzae5R+p\n4UxlzZImatHWxyAj2covEcWcWwHJop080e6c8cnZyeB2SAhpYSDitafukMnDD528UIHZ5k2ByFyy\nWuqSFG2CMIkqR8s4JesqB+It2vr9yIKULM3c5TELqidS4q9ZLe2CAoQbGqCSMmcbXMGwurHxECCa\nC8mjNa2ClGzll4hibjRLIUU7aaL15HVF28y+wK8x+iuQZyFpVEUBBAGNWgACEyAmUcsciCmzyPdm\nsmgTRGpQFRmC2w05lHy9VCC6EcqifmqmGO3kiXOXI1654CX+6gNNukMWREr8kVXbNjRFBhhDIwsC\nMF9Oi9fhJu9O8hjucoc5dzmfO34W1JulkKKdNNHW35GcETOezqZhVFTPPGk0hTcN0vfmZMM6+Vzg\nBhxStAkiBWihEBDW3XthLWzORRhRRrgFimK0k4cvgP5IAleGGB+jDQC1TWtpF0Sa1lSTom0Xsd3w\nADMxkfpcCBreHZoLycIPnT6mVzFKdk1yCiIEJkAOK2AuF1m0TcDHIOiMT85OBiMx2MWbpZBFO1lU\nWa9DLoeUpA/9QHQM+KGVYrQJIgXwBZW790wtqNyCxE/NZMVLmmhscHN3uWHRbiF0BACC1ZQQaReq\nooBJbigh/W/YbDKkEvHwkjU1eQx3OQIQBTFpdzljDG6HBDms6F0JaQyShv/dBk22/gaicyEUuQfN\nheRRFdl0d04gOm6yEUZFMdoE0enwTSia9GL+1OyPWKAo6SV5+HfmY9xdHpMMyWO0m7Zh56EjZNG2\nDT2MSoI/LJtS8vhcUGxKPkpHDHd5OGBKuQB0JU8O6bknNAbJozZNzjYxDhmRvcQIoyJFO2lURT8s\n8opgycKv8RmJwdbCd0jRJggTcIs2b/1tJRmSlyAii3byRC3a+mFFckTLYHmMNuzxMdpk0bYfIzHY\nZL4CP6hGFW2aC8miygoEt15uNNlESI5b1C3aTJLIkmqCZuVGTYQtGP0VHLqyTnMhOTRV1f92JQmq\nppqaC0YFHugKttVSl6RoE4QJotnlelBphonJLEZiIhu1AMAYVVowgaoogMOBRgQhOVwQWHRJyxDd\ncApOsmh3MJqqQgvEWJBM5StEvDvULMU0qizHxKWaVLQduqLOQ0c0TbNZyuMbvi/IEUXbjJJnVKNy\nckWb9oVkMEqDGrXMkz/sCEyAy+GCogb0xkEUo00QnQ+39oQi5cjMWLQZY8hwuCGruiWKqo4kj56E\n547UMo8fA94dsmmMtiBJELKySNG2CS0YBDQNjI+DmeQjHhNpNEuhuZAsPC7V7GEH0A88qqbqNZxV\nVU/6JhKG/93y7ppWwhZ4DWeaC8mhGk2DIvlTZucCD6NykaJNECmBW59DFso4AbqCLocUMJdElRZM\nwGOD5XDL2eW5kgf1Aa+uPMTgLChAsLqaLHY2wOdCdBzM1w5uFHTFjqx4yaF7FQLR1t8mDjtAVCnh\nuSek5CWHUW7UqOtvInTEKC0XuSeNQVLwfVR16V+gJUU7rEBwS5aNYKRoE4QJokkv+s/mXbW6u11w\nSxSjbQItJja4JTetR4p0hwx4414XCwqhKTLUxsbOEvW4pVkFHgvu8qiiTbWDk4ErAppkviMhED3w\nqE5eWo7WpGSw2vo79hqZwqhM0bRpkOm9mecruCTLYZ2kaBOECfjix+PorLhq5XDEPUUW7aRRFT0u\nNagGW7Ti5fGEyGZx2lRL2y6irlrzMZG8Uokv0vDGavJRumG0/naaLzcKxDRLoRrOpmhabtRKYrDR\nyKZyl8oAACAASURBVIzGICmMsM6It9lsYrDkkBAIByJGsIAl7ycp2gRhAn7C5XF0Zjc2yRGJiZRc\n0AKUfJQMWjisxwe3YUltvQ27nhBJlUeswzc2nhhszVVrT/JRumFY8XgVJNMHf13JC0dyTyh0JDlU\no9xo0FTrb6B52Vfy7iQHnws8f8p0GFVkHDSnEwiHLeUrkKJNECYwkl64om0yRttQSlxOQNOiGdNE\nu0RrmeuKdkvKRbRpTdM27GTRtgtjY4so2mYSgwF9/JSwPclH6YZq42EHoBrOZtEUGWAMPhY01fob\niG1kZk+zlHSDH3as1DLXr9P3dL6/WDl0kqJNECYwyjhFFG2zygU/bRsxkRSnnTBcCeBu7owWxsBo\nwx4gi3ZHwTc2rpxlmD10RhKD7Ug+SjeaJWebtOJFuxKSom0G3ihFDgdMj4Er0gvAF8lXIK9CctiV\nP2VnvgIp2gRhAr6xNVqIxYu9jk9m6g6ZOFoC7nKPSw8daVrijyza9sE3NqPttIWKF4pNyUfphh2t\nv4GY0nIi1XA2g54zYr71N6DXcJYcLvgQjNyT9oRkMPKnuKJtdW+OVC8hRZsgOhluxYtml5sv7wdE\nXb5k0U4cPgbhNmLx8iSeDNkkdCQ3D2AMIbJoWya6senKmenkI1GCBg2QXJaTj9KNaFwqP+xYUy54\nZ0OypiaH3iHVfOtvjtvhhqwGwFwuUrSTRIsc0hWr3mYHz1fQ92YrSamkaBOECfjG1iiEwMDgEpym\n7tMsJpIseQkTjQ3mtcybL6gZYgZEQWyWDMlEEWJeHoI1ZNG2Ct/YrLpqjZATl/Xko3SjaVyqlRbs\nQFRJISUvOTRFBpNcplt/c9yiBCWkly4lr0Jy8L9Zv9X8KZHvzdy7QxZtguhUuKXHx4Jwi+aSXoCY\nycyz/CkZMmGiIQvcot18Y9O7Q3pQ38SiDei1tEM1NdBUtdl7ROJEm3ToG5vZGG2paRgVKXkJw+eC\nYhx2zIbvRErLkaKdNJqm6W3rJT3G2uwYAPpckMMyBEmCRlVHkqJZiUWr3h0bEoNJ0SYIE6iKDCaK\n8GsBa5aLyMbGYyvJop04PJ492E4t81wpB/WBhmbdIcX8AiAcRri+rmMFPc5RjQo8+vdrPjGYK9rW\nYyLTDaMKksg7ElpLAFMiY0mHncTRAgG9cpTF1t+ArqQH1VCk1CXtCcnAvTt+wVr+FJ8LAYf1fAVS\ntAnCBKqsgLndrbb+ThSuXAQjkScUo504/FCitJOE53F5oGoqvEFf3OvOSEJksIritK0QrcBjTcnj\n14WpK2HS8LngF6zV9ecH/0bqSpg0RhUkp7XunHHXupw0BkmixYR1CkyA02JYZ8CGfAVStAnCBKqi\nu/XkkPnsciDqLlcckftS1ZGEMdzlPOmlVYt2JCGyWS1tvcRfiOK0LdE0MTjDYmIwj7mnjniJE/Uq\ncCuetbhUbg0ka2riRDukRmqZW0iG5GuZRvkKSaMaYZ0hSCZrmQNRw03AhjAqUrQJwgSqooBJEsJa\n2KKLMD75iFy1iaM2cZe3VEcbAHJdvDtkfIiISBZtW4i1IAHmE/F4bHeYmqUkTTQ5W1eQzYbvuAQn\nGJgxlnTwTxzNqCcfadxkYV/IsLGGc7rBvTu8aZBZ+LV25CuQok0QJtBkGXDxpBfrk1kxXLVkQUoU\nIwkv8t21Z9FumhDpJIu2LagxicGA9QYRQe7dIeUiYWK9CiJzwGmi9TegJw+7RckYS2oclDh2tf4G\nYhKDjRrOtC8kiqooYC4XZDVgi1dBtiFfgRRtgkgSLRTS/zOSXqwsqPq1fgfFRCZLtIxT29nlvA17\n0xJ/1LTGHlQ50qRDDcDlcEFg5rYVIyYyktxK3p3E4V4FLwuatmZzJIeExoiiTcnZicPXo/aSsxOB\nr2VhqsCTNHpYpxv+sGxpb+ZeBdkIozI/BkkfexsaGlBWVgZBENC7d2/k5OSY/uUEcSzStPW3lY0t\nw4iJJEU7WbRYd7naukXbI0VCR5pYtB05OWCiiCAp2pZQFRmCW4Icki1XWgCAgGHRJiUvUVRFARiD\njwXgFswrF4CuIDYEvXqzFCo3mjD8UBK02DQIiBpvQk4BLtC+kAxaJKxT1VRbLNo+G/IVEla033//\nfTz77LPYvXs3evToAVEUcfjwYZx44omYPn06fvCDH5gWgrCGKvsROHwY7gEnplqUtCCa9KJPnwwL\nyoWTx0Q69JhIslwkjhGyIITgYq1bUqPJkE2a1jCm19Km7pCW0Lvh6RV4zCZCArGuWh4TSUpeoqiy\nDOaSIIcDKHRlWbqXW3Sjwl8FwSUZzYiI9uFrt2Kx9TcQkxgsMl3RpnFIGFWWIRQUAAhaipN3CHoI\nViN0RdvK3pyQoj179mwUFhZi3rx5GDRoUNx7u3btwmuvvYZ169bh0UcfNS0IYZ7qt9ejev1b6P/7\nh+Hq3iPV4hz3GK2/edKLhVMzj4lsVCPJR2TFS5jYpJcMofUxyBIzITIH6gL1zd4TCwrg3/Et1GAQ\ngtNcGah0R1NkCB4P5JCCfCnP9H0ymiQG01xIHFVRILgjrb8tKBeAriCGtbBuFaQY7YThf6/cI2PJ\n08mbpfD+CjQOCcGbBjGXE0DQkkUb0D0LPi0SRtXRivbdd9+NHj1aVuBOPvlk3HvvvTh8+LBpIQhr\nBCsqAE1DoPwIKdqdgNas9bdVV60bXmMykxUvUQx3OQLIEDNa/RxjDB7Jg3qleXdIZ0EB/ABCtTVw\nFXfrQGmPT4yNTZIQVOtsKXXJw6jIu5M4qiKDSRI0aNZjtPn1LifUuuaHU6JluAFGttj6G2jeLEWj\n6i8JoYWCgKra0jQI0MfBF9T35A6vOtKakh1Lz549TQtBWCPs8wIAQjW1KZYkPeATLtRG6+9kkEQJ\nPqZPZqodnDiaIkNwu6GEA+1uarmuHNQF6pt1h3RkZQMAVK+3w+Q8nmnWDc9K8yZD0ebeHVIuEkVT\nFMAm5YJfr0lOqjqSBNHGTdZafwMx1ajEiHeHxiEh+IGEd5e1sh4B+jjIWgDMaa1xUKsWba/Xi02b\nNqFHjx4YPnw4Dhw4gEOHDuHss882/cta4qqrrkJ2tr7Z9enTB7feeitmz54NQRAwaNAgzJ8/H4wx\nrFq1CitXroQoiigtLcW4ceNsleNYJuzlijYldXUGPGSBV0ewEgcG6JO5IhyItNulBTVRVFkBk9wI\nqO3XS82VPFDrVfiCjchxZRuvC1l6PGu4sbFDZT1e4X+vUUXb/FwQBREO5ohplkJzIRE0TYvEaLsA\nBK172CJjqDlFo8ISE82VC0wn+N8r76ppZRy4gmiEUZFFOyH4YSfsst6dE9DnghLZmzskRnvJkiUo\nKSnB7t27sXXrVkybNg3z5s2zVdFWIoIvW7bMeO22227DzJkzMXLkSMyfPx8bNmxASUkJli1bhjVr\n1kBRFFx77bUYPXo0XJE6xulO1KJdk2JJ0gO+oPJYvNYapSSKERPpcpHlIglURQbLyACgtWu58MSU\n+ItVtB2Zmfq9fL4WryPapmlisJWNjTEGt0OCFzwxmLw7iaAFg4CmRcfAhrhUAFAjhyc1oMBBina7\nxFZB0lt/m//ODIs2r+FM+0JC8L2ZN72ywwimQdP35o6oOjJ06FAMGjQI48ePhyzL2LBhA2SbM193\n7NgBv9+P6dOnIxQK4Ve/+hW++eYbjBw5EgAwduxYfPTRRxAEAcOHD4fT6YTT6US/fv2wc+dODBs2\nzFZ5jlW42ztUS4p2Z2AkvURmj+XJHNkYrZ6a0w1VluHI9QAItDsGuTEl/nrHvG5YtP1k0TYDr0oR\ndtnjqpVECY1h68lH6QRfjzS7rHiR68OiAAd0a6oj01olk3Qg2jQoBLeF1t9ATL4C769AVUcSIlpi\n0aawTj6XJBfU+uY5PonSqqJ94okn4q233kJpaSncbjcuuugiNDSY/0UtkZGRgenTp2PSpEnYt28f\nbr755rj3s7Ky0NDQAK/XG1evOysrC16KqQSgN0/hf1wUOtI5aE2TXizHgUWudzmh1pLClwiaqkIL\nBCJWt0C7XoXWmtZwBYIs2uZQm7SdtkPJq2V+/d6kaCdEs9bfNiVDhp0OOEDW1ERRjaZB7R/824Mr\niH4WCaOiMUgIO5sGATF7u8vZMaEjAwcORGlpKQCgsrISRUVF+MlPfmL6F7VE//790a9fP+PfeXl5\n+Pbbb433vV4vPB4PsrOz4YvZCH0+HzweT6v3zc/PhCg6LMtXXNz1m/EEaqMJkOHa2mNC5mTois/D\nrQxhtz6ZT+hWiPwM83Lm5WQDRwBHpoRgudLlnrmryQMAoUZdGROz3AB8yM/JaVPOvqHuwA4g7Iz/\nfqVeRTgIQEKoSz5nLF1RvpoD+hxwZOlhfEV5uZbkzHFn4nBjOQSXCw61641JV5MHAHw+3cAiZOpj\nUJyXZ0nObr68yP300JHcDAeyu9hzd8VxKI+UaG10hJAvZVuWUXK4oDB9r3FB7XLP3NXkAQBBingR\nMnXVtkdRgSU58w/q1zoyJYRDIRTmZ0AwEUaV0BWff/45Lr744qRv3h6rV6/Grl27MH/+fJSXl8Pn\n8+G8887DZ599hlGjRmHTpk0499xzcfrpp2PBggUIBAJQFAV79uxpVs87lpoa61bB4uIcVFTYa8Hv\nCJRDR4x/hxsbUX7gKAR366XOjiW66hh4q3WraJ0aAByAry6EkNe8nFpAd3MFmACEwzh6uKbLJB91\n1TEIRQ6Y3KGqBljbcsq60nCoujLuc7zxnbeypks+J6erjkPDUT1czavqlreQH5bkFDQRmqYBLhcC\n3sYu9cxddQz8h/WGS42RijpBv2ZJzkCjfh+fpiIXQFV5Dfy5Xee5u+o4yA0+MJcLjeH/Z+/NgyQ5\n6rPhJ7Ou7unp7pnRHrpl2F0hIXQRWhkUvLIMAi8Y2xizn5EAEQbbhByAQRa2MMKCVyYEKGTAbxBh\nEy8WoQVjibAMmODQZ4XjlUHYEn4x5tOxCCGtpD1nd+fqnq6qrsr8/sjKOvo+qqpnp/OJINDuznbV\nTk5m/vKXz+FgK8yx39HUTKwF1nKN1dqG+jdv1DFYPSb2hZov1iN7zcciGf09mSsKdwcEBMCxg8e7\n0qh6FfQT3c3f8pa34JZbbsH1118PQgjuuOMOzM3N4aMf/SiazSZ27NiBPXv2gBCCG264Addffz0Y\nY7jpppuUEDKA30Kh8ZaWYJ6xOQrtjYpIXe6DgMCk4wWdyGtCZmigCLjHs7O9/9KUI1KXS8pCPzGk\n5GgnqSM0WDR9RR0ZCZI6IoXBYwvxwqtaU1FHBkR4Xa6nc11utYalKH7wQOC2nUr0t0RRK6BGAxqV\nGoOBIPcFKSIdl0Ylg4N8U4cOkXMxil5hooW2YRi466672n4/7kIisXfvXuzduzeP1zqlwALHEVos\ngjUaaC4twTzjzAm/1eaGnMwN6qOgjyd6AWLiI1louw40qEK7F1q9zPstqCVjBpRQrLZytAMxJAuo\nKArDQTotOGkJg0PxkQG2qnQ4gyC0G5XR32NqRorB33cDDYriaA8GkUgoGoDjHnYAsaYdg+jQMlcF\nmQ0CuS/Y+vihQUBcr0ChY3QnpIECaxQ2LmRH2zr7HABKEJkHpPioRppjFxZAVJzIpEnlmdofobo8\n+J4V+4wDJRRVs4LllkKb6DqIacJfVx3tUSA3Nun3WxxXGBx6OI8nPpomyO9TWocd+ffl56n1aDAw\nxwa3RKE9bicVEMW6A0+EpaiO9kCQ3yepo0rL6tKTtzsjrkkDFdqXXXbZSB+ukD38migQzLDQVhZ/\nWSNUl9Pm2N0jIOpAycmsOkj9wVuuywfZ2CpWGWvumuAAx0BnZsBUoT0S5MZm6zKkI6VUQjMISwm4\nlgrdEV2Xy8NOOo4XNlWphIOCcy6KsJTSOYGY7atpqj1hQPCMaJ3SLjDTQnv79u0df/+ZZ54Z6aEK\n6UGG1VjnqEI7LzDHATQN69xNZ0ENPsOVk1l1L/qi1ct8kCvCObMCj/uoe0mxtDZTgl9XtoqjIKJR\npcOJtGI0KvH5qsDoBxbajQZjkNJhR34eV+tRX3DPA3wfzJChQeM3YBIezupWYSCkTeu0wr1Z/HrU\nW7ahqSOPPPII7rnnHvz0pz9FqVTCt771rZEerJAOIurIuQAUdSQPMNsGtUSaY5qdC1dXHaRBERYX\nkos3UEe7i5d2qQTWWAdnLOW33PwIQzq08WOngahAUYX24Gg97Ixb5JmaGXye8nAeFLIAi8TZaewL\nsXwFNQYDQa5HddIcey0CYnoFSaPKi6P98MMPY9u2bfjmN7+J97///XjooYdGerBCOpAdbXPbNhDT\nDG3PFLIDdxwQSyykaajLw4524NzAVfeiL1qvywfZ2GRozaqTtHuiMzMiwlp17oZGGDtNmiAgsLTx\n3KDkOEqRq+Jp90fogqT50Ig2VvQ3IPQMBc3CuiZ8oVU3tT9CFyQZ3JTivsBNQ90qDIg4rTMNnnyo\nV5A0qhHnwtAz8mUvexmuvfZa7NmzR/CSVBdoomC1GkAI6MwM9PkF1dHOAcy2wWdnAPB0xJDBgiCL\nRtW96A9ZgNlDiF5kDPuy2yUdcr0ObWYmzdfc9JBFXp16sMaMnQaicQyFwSN2kKYJ4WEnuC5PA5Zm\nYZ2IQlvxg/sjSkgNXJBSpBQyQwcJ9ApEGz+IbzND7gs1NFFNcQzsMW+bh+5oN5tNfPazn8X+/ftB\nCIGmBn6i8Os10JkZEEqhz8/DX1sDayoroCzBHDsSvaQhhgyuuGTRqDpI/RGqy+ngvFTppd1q8UeD\n4tpfVzztYSHHoY5mql28pjaeyn+aEF6XUy8VygIgDjx1ojrag0IeCOVNzLjuO4CiUY0C5tiArqNJ\nWWoWiwBgE0GjGvVmYehC+7//+79xzjnn4Mtf/jJ+93d/F3/6p3860oMV0oFfq4XhJsb8AgAo+kiG\n4L4P3mxGopdU7P1MEJCwaFQdpP6QBd665sHUTFDSfymrWlUAnUJrRKHNVGjN0JDewQ3upCMA09MR\nH00Twuty4qbSSQXE4b9Gm+Lz1XrUF/Ln1JUuSCnavspCW+0L/cHsdGmdBtWhEy20Cxx1LgxNHbn8\n8svxute9Dr/zO78DAFhZWRnpwQrjg3MOv16HsWUrAECfnwcQpENu3TbJV9u0kF0FZkp1+fiTmRDB\nbW1ogfhI8fH6IuSlksEFqZI6stLC0ZahNcpLe3gw2wYtFGB7DrYWt4z9eZFeIbiqVdSRvmDhdbmL\nLSkcdgBx4LGpWo8GRVtoUIoieU+nsKBuFgYBc+xYaFB6c2E9nAs5UUeWl5fxd3/3dzh48CAAoFqt\njvRghfHBbBvw/bCjHS+0FbKB3NRC0UtqV7WFkBOpOkj9IQuwNeoOfNiZNUoiHbIrR1tRR4YFc0Ts\ndHoOPAGNKlT5q7nQD8y2RagJTXE90iwwSgBdV53UAdBmN5oijSrUK6hx6AvmOOABrTMNMSQgCvZ1\nOp5eYehC++jRoygUCrjzzjvxlre8BbfffvtID1YYHyyw9tNKstAOqCNKEJkZpPBILn5pXJcD4pqw\nThUnclAkbZwGW1ApoaiY5TZ7P8XRHh3ccYAgDS8dvYIMSwk6SKrQ7gsxBuldl8c/h5jKw3kQyJ/T\nRnATY6XQTS200KjUzUJ/cNsOC+109QpC95ab68jVV1+NRqOB66+/HgBw6NChkR6sMD6ktR+VHe25\noKO9rDraWUFOtGaK6nJALArLRHAiVQepP7hjA4RgnXhDXRFWzDIO1Y+Acx46ZCiO9mjggSUiMQ0A\ngx94esGgBiihUViKKrT7gjl2dNhJcT0CoDycB4Qsgp3g53bcdE4g2lua0vZVjUNPcM8D97yA1pmO\nOBsQ43CcjKdX6FtoP/bYY3j44Ydx4YUX4pWvfCUuvfTSxJ+feeaZIz1YYXz4QWEgOaaKOpI95BWh\njP5OY0EFxKlZcbQHhxThgZChrgirVgXPrb2Ada+BkiEK7IijrTraw4A3mwDnUQcpNb1CjBOpONp9\nwWwHqM4C4KndsMnP4ZYBXlcFXj+0Rn8bY0Z/AxHH2Ak72mocekEWwenTOi00x7xV6FtoX3TRRbjo\noovw5JNPYt++ffB9H5deeimuuOKKkR6okB5kKqTkaGvlMqBpijqSIVq5eGl2tENLM1fZM/aD5AYD\nw4leqqYURK6GhTaN+WgrDA45F9KMnQbEXFingejYUXOhH4Td6DyA9FxH5OcwQwdp0TQotIMlvMwL\nY/vJA9HB1VbC4IEgDyJRaFB669G4eoWBqSMXXHABLrjgAgDAT37yE9x9990ghOCKK67Ay172spEe\nrjAeJHVEcrSll7bqaGeH6IpQ/Do1jrZugVMCGLrqaA8AZjsjdVKrQQz7qruGM3E6AIQhNaqjPRx4\n68aWYgdpnYi1javioie45wG+n2oiIZAMS6GuC84YCB1a0jU1kEXeeppe5qFeQdGoBkGrfirNJhgA\nENPIj6MNAJdeeikuvfRScM7x6KOP4u6774amabjqqquwc+fOkV5EYXiwlo42IHja9i+eVilSGUEW\nF44+ePT3IAi7sqapuHgDgDs2+Ow8gOHcLmQMe1wQSUwTRNdVR3tIyAOhb6Zf5B2XHs6quOiJaAzS\n8/UHorFkMQ9nUiim8tmbEbLbXCceLL2cymdqVINB9SjITM2FnpDfH0nrTNMRDAC4aWbro/3jH/8Y\nl19+edvvE0Jw5ZVX4sorr4Tnefjxj3880ksojAZJHaEBxxQAjPl52IzBW12FEXC2FdKDXFAbYfR3\nWpzImPhIcfF6gnMe2DjpAIaLnZYd7XhoDSEEtDgDv6462sMg0isEDjxp+dZqVsxHW82FXgjtRsMx\nSLeL5xkUJkTHlqpCuytCL3PaxPaUxgBAoFfwEs9Q6IzIyzwotFMUQwIATB18PUN7v9tvvx1LfegI\nuq5j9+7dI72EwmgIqSPxjray+MsUoY0TZSAgMFMQvQDRZOaGUvn3A3ddgHP4YTrnEK4jVsTRjoOW\nZlRHe0iwMA1P/Do9a7lCqFdQ1+W9wbKyG42FpYjnqHHoBXnTaWssNcoC0JKvoMagJ9rWo7Rvd8Zw\n4Bmo0N67dy+efPJJ/Mu//AtcJdTaMPBbfLSBmMWf4mlnAnlqbmiik5qG6AWIT2YdXHG0eyK8Lpdc\nvGE62pI64rakQ86U4K+vg3Oe0ltufshxSP2qVrPANAJomhKA9UFoN5pi9DcQHV5ld1CNQ28wxxY/\nrxpJ7bADSGFwEJaiCu2ekD+jTnAblqYYEhBaFB7oFYbFQNSR6667DgDQbDbxb//2bygUCrjqqquG\nfphCuvDrdRDDALWixVVfUIV2loiiv710Oxexyax5nuLY94AcA28EEV7ZnAUB6RBaUwJ8H9x1QzcT\nhd6QG78TdrTT7abCMpXrSB9wp/W6PF0qm7Q142oceoI5DkjKXuaAODgth3oFddjphfBWQZehQWkL\ng0fXKwzU0f7P//xPAIBhGHj1q1+Niy++GA888AAee+yxoR6mkC5YrZagjQCKOpI15MZWo+kEdEjI\nDVK6B6hrwu7gLV7mw1AWRDrkLFZbCm2tFDiPqNCagSE3finWSoujXZTzyjBUcdEHzMlKnN2SSqjG\noSeExaJMSE1vXyjqVrjOqT2hN8L1KPAytzQzlc+Ve3NIoxpBQzVQR/tTn/oULrnkEiwtLWF5eRnL\ny8tYWVnB4uIi3vCGN+COO+4Y+sEK48Ov16CftiXxeyq0JlvIxa5OPGxJ+YoQALxgUeWuAwS2cwpJ\nyIXOM0ajLFStCg7Xj3VOh1yvAwsLKb7t5oUch+iqNiXxUfA53NTDLpVCZ0TX5eLXaUewO1SJUgcB\ntx3wGenrn25HW+kVBkN42xzw5NOidYYJncboeoWBCu1qtYpKpYKVlRW8613vwsLCAqrVKubn51Es\nKiXyJMA9D6zRaO9oV6oAISqGPSOEHG2dpb6gApGoSTmPdEdYXIxIWaiYFTy3dhANz8aMIdYvbUal\nQw4L5jQAxBx4UuYHM0MHW6ml8pmbFSwmwgPSGwO5HsmwFFXk9QZzbLC5WQD+UJqRfijocb2CGoNe\nkHuzCA1KdwyAqAk2yu3OQIX2Jz7xCWzbtg0nT57E9773Pei6jgsvvHDohymkh9b4dQmi69AqVUUd\nyQjMcQBK4dP0rwgBwA06U8p5pDvaunhDd7SF88iquxoW2mFHW1FHBkY8pEMjGnQ6UixDG+S88k0N\nmgpL6QkesxulhKY2BpRQmJqpPJwHAPd98GYTzNQgfP3TvOmM8hXUGPRG2NGmHgpaOl7mQEwYHOw3\no+gVBlq9Dh8+DABYWFjAddddh0qlgi984Qv4+c9/PvQDFdJBJ2s/CZkOqRwU0gezbSF6ISRVMaTV\nyolUziNdEVEWpJf5kIV24DyyHONpywOr6mgPjjCkg4rQoLSvan09Eh8pdEZ4w0Z9FLV0or8l4o4X\niqPdHaGXecrpnEALjUoV2j0R10+lfasARI2dzDraH/rQh3D++ee3FW5f/OIX8frXvx4f+9jHhn6w\nwnjoZO0noc/Pw3n2GSGWLKd3slMIJnMoekmxc9EymVVx0R1RF280dXklFsMuQQPqiPLSHhxy469T\nL5PbHS/GiVRhKZ0RHXY8WHq6mg5RaK8Hz1HrUTeM44LUD/KzuGmo5ksfyHGwKcP2FG8V5P7i6KPf\n7gxUaG/fvh2XX345KpUK5ufnMTc3h2q1imq1irm5uaEfqjA+WI+OtkyEbC6dVIV2ymC2A14QITVZ\ncLSlsExxtLsjXFA1H6ZmgpLhaAVzVnsMuxZQR1RHe3DIjb9GXJRTip0GYuIjyYm0HaCa2sdvKsh1\nok69VNcjQBz+ZViK6qZ2xzguSP0Q5isovUJfxJMh0+xoG1QHJXQsvcJAhfYdd9yBs88+e+gPV8gO\nkqNNO3a0pcXfEnDuebm+12YHc2ywygwAluqCqjiRg0N28dYDysKwqJhBOmQshl1xtIdHGDsN1sRh\nzQAAIABJREFUF1sy6OI14w48Ch0R72hvSXE9AsSB54TmJ56j0I7QBSkMbkrfjco3NOhKr9ATzHEA\nQuBr6TbBCCEoaBZsKvfm4efCQCO2devWvl/jqMIgV0TUkVLbn0UWf0oQmSY4Y+CuG4he0p3M8vMa\nVGxsXG1sXRF18UZTl1cldcSJqCMRR1sV2oOCOQ6IYYClLAyWlKxQGKxud7oi9NHWeKoFHiDGVHk4\n90erC1Ka3dRQrxDQqLhK5u4K7thAoJ9Kcz0CxDisU3noHH4uDFRo33zzzbjvvvtQq7VfXdRqNXzl\nK1/BBz/4waEfrjA6wkK7kxhSxrAri79UITtrviFW1DQ52uLz4pNZLajdEHbxyGihQWVDpEPGxZAR\nR1tRRwYFt22QgpgDxUw4kQGNSnW0u4LHItjTLPAA0Zl1VaHdFyxM5xS/ziLILNIrqAZMNzDbCfVT\naRoVAEBRL6ARCoMzoo589rOfxVe/+lW85S1vQblcxumnnw5N03Do0CEsLS3hhhtuwF//9V8P/XAA\nOHHiBN785jfjS1/6EiiluOWWW0Apxa5du3DbbbeBEIL77rsP9957L3Rdx4033ohrrrlmpGdtJvR2\nHQmoIydVoZ0moqAUseilPZmVyn8w8ICLV9c8zI9Q4GlUw6xZwmqcOlIoiGtHVWgPDJGGJ/QK6Trw\nmCAgUViKEoF1BXNs4bGskdRv2CzdigK0VKHdFWH0dxjclD51JLpZUA2YbmCODR6sR2ke/AGxvtXo\n6HqFgQptTdPw9re/HW9729vw5JNP4tlnn4WmaTj33HPxkpe8ZGRLoWazib/4i79AsVgE5xx33HEH\nbrrpJuzevRu33XYbHnzwQVx66aXYt28f7r//fjiOg+uuuw5XXXUVTDOdeM1TFawmfbQ7u44AKh0y\nbcjiVxbaxQw6SMshdURtbN0gOwrjdPHmzAqOri+G6ZCEENCZGeU6MgSYbYPPVQDwVK9qSWCd2QhU\n/oqj3R3MccR1OdKl7wCiyPMpAEpVR7sHwuhvjYOAwKRGap8d0ajkgUcdOruBOQ7YrPh+pX67o1tY\nkUYFWdn7SRBCcOGFF6YWVvPpT38a1113Hf72b/8WAPD4449j9+7dAICrr74aP/jBD0Apxctf/nIY\nhgHDMHDeeedh//79uPjii1N5h1MVfr0GEALagaNNTRO0VFLUkZQRL/CA9DvaluJEDgTZ4fTG6OJV\nrAqerx2C7TsoBpuZNlOCX1cd7UHAOQdznKCD5GZCo7KJOPQojnZ3sLjdaOo3bOKWh5uGWo96QH5v\nGprQjKTtZQ4ATZmvoMahIzhj4I4TeJmPJpLvhYI23t48Mfnq/fffj4WFBbzqVa8CIBbuuE93qVTC\n2toaarUayjGLulKp1JErPm3wazXQ4kxXBbI+v6DEkCkjbh8EZCOGVIV2fzDHAUwDnJKRCzwZWrMa\n52mXSqqjPSC41wQYAzMDvUIWNCrpeKE62l3BbScagwwOO4DwcFad1O6IhwZl0XwBYraval/oCCkS\nzSI0CBi/CZZOXusIuP/++0EIwcMPP4wnn3wSt9xyC5ZiVIdarYZKpYLZ2VnUY5Zb9XodlUql52fP\nz89AD1LFxsHWrRvXg/qZRh1mtdz1HRe3b8XSC89jvqRBn0k3yCBPbKQxOHlATDTfEv9/1vYtmC+m\n937zs2U0DfHZBrwN82/fKO8h8bznghTEQjpf7j4HeuGMI1uAwwCK0ff52FwFzrNNnFa1QDcgNW0j\njUNzVRxQaNEEsI6tc9VU32+2MBPqFYoa3zD/9o3yHhI/dx2Q02YB+NhSTXcMtq4J83JiGUCzuaH+\n7RvpXepBEdzQfJSsYurvplMdzYCNUrYoTtsg//aNNAbuklgrUBQ3bNtPm0/1/RaeL4eFtsH9oT97\n6EL7m9/8Jp5++mm85z3vwQMPPIA3velNw34EAODLX/5y+N/veMc78PGPfxyf/vSn8cgjj+DKK6/E\nQw89hFe+8pW45JJL8JnPfAau68JxHDz99NPYtWtXz89eWhr/+nfr1jIWF9f6f+EEwDlHc3UN2vxC\n13dkJXEYOfLUc7DOPCvP10sNG20M1o4tAwBqEJ222nITXi299+NNimbAxbNX1zfEv32jjQEANNcb\nYLpYurhLRno/wxeF+nPHjmI7PRMA4AVdkKPPHYVe3VhBXBttHJrHjwMAGkQUGc0GUn0/jetYC3xr\na0urG+LfvtHGgPs+mOvCpWLN8Bo81fdzG8HY6hR0tbZh/u0bbRzqS+LQuYYmZmCm/m6WZqIO0bFd\nXlwC2wD/9o02Bu7REwAAG+Jn1qkxLNL03o81aaBXILDX6h3/7b2K76EK7TvvvBNHjhzB448/jt//\n/d/HP/7jP+KJJ57Ahz/84aFfvBWEENxyyy346Ec/imaziR07dmDPnj0ghOCGG27A9ddfD8YYbrrp\npqkXQnLHBny/oxBSIi6IPFUL7Y2G0C+VMhAQWFq6P4eWZoFpBFyjynWkB5htg1XFz/6oV7WVgDoS\nD60J0yHr6xuu0N5oCGOndUFdS12IpxeSyZAKbZBjIK7LvQzs/QIPZ10DV2EpXSF/Pm2dYyFl6ggQ\n5CtoYj9Q1JHOCC0WjWz0UwXNCvQKZvbUke9///v4p3/6J7z5zW9GuVzG3Xffjd/4jd8Yu9Det29f\nx/+W2Lt3L/bu3TvWMzYTpIc27WDtJ6GcR9KHXFAbGoOlpSt6AWLFiqHER90gRXjMnAPgj87RtoJ0\nSKdDOqTiafdFqFcw0k/DE59nhTQqxdHujPCwE7ggpR/BHvNw5hy82QSx0i8kT3WwWAR72gdOQIzD\nOj0RPEvNhU6QLl0y5Cr9g/94eoWhjqealuQ9u67b9nsK2cPvYe0nEcWwK0FkWkhEf2exoAYbJTMN\nZe/XBVKEF4peRiwupBgyXmirdMjB0SYMziCJLYxgVx3tjuCxAg/IQAwZzC15a6GKvM5I2I1m0NG2\nNAvrJBAGK0/5jojSOQMv87RFqXJvNrTsO9p79uzBBz/4QaysrOBLX/oSvvGNb+DXf/3Xh36ownjo\nFVYjodIh04csftc1L/WJDEQK81En8zSAt4QGjVrgVcwyCAhW3Yhrp9IhB0cY/Z3RxpaI/1Yd7Y6Q\nN2xuVnajbWEpNoDeRgTTCO44ACHwtPQPO4CYW/WgUlOe8p0h54J0ZzFTpnVGTTAdbATXu6EK7T/8\nwz/Et7/9bZx55pk4fPgwfvu3fxs33HDD0A9VGA9h/PqAHG2FdCC7CXXihd7LaUKmWTFTA1tTFpad\nEIYG6eNdl2tUw6xRSnK0SwFHWxXafSG7qS5NPw0PiMJSOCWqi9cFIS81uFROe02SgVwyWlzdsnUG\ns20RGkTST+cEWg6d6nanI+RcaGgMBc0CJelqCeT65ut0JL3CUIX2Pffcg/vvvx9f//rX8cILL+AP\n/uAPYJom3vrWtw731gpjYZCONi0WQayCoo6kiDCYQOeYz7Cj7SnxUVfIMQi5wWMUFxWrjOONE+Gv\naTHgaNcVdaQfQr1CVle1uhAfwTBUF68LWq/Ls+poKw/n3oiCm9KfB/IzlV6hN6LQIAZLK6b++SGN\nakS9wlC7+L333ou///u/BwCcffbZuP/++xM2fQr5QBYCvQptQgiM+Xk0VUc7NTC7ASBD0Ut8MiMy\n4VeIEHKDpehljI2talbg+C5sT3xmxNFWHe1+CDtI1IdBdWg0Xa1OdLtjqC5eF0gala1xUEJh0HRj\nMTSqwaC6KrT7gDl2VGhnsC/Ew1KUXqEzeLAvrBMvE/qObII1R9QrDFVoe54HwzDCXxuGkbrzgkJ/\nhK4jHeLX49Dn58FqNbCmKtjSQNaiF7lISy9ttbG1IxLhjd/Fq1rS4k/wtEOOtupo90XYQaJ+6o4j\nQIteQXXxOqL1ujyLvbigFWBrws9cpUN2BrOdUJydyb6gFZReoQ9YxvopucYl9QqDY6gj8LXXXot3\nvvOdeMMb3gDOOR544AG8+tWvHuqBCuNjEI42EOdpL8Pcti3z99rsyEP0AiBMAVOFdjvk98TWJDd4\nnI62sPhbdVaxfWZr5KPdUB3tfgj1CtRDQU8/IS70cDY0sHoj9c/fDAiLC+rB0rJJ6bN0C3YQ/KHW\no3ZwxsBdB74xB4Blsy/oSq/QD9ENG8N8JhaLSRrVsHqFoQrtm2++Gd/97nfxox/9CLqu453vfCeu\nvfbaoR6oMD4G4WgDSYs/VWiPD2bbgGlkJnqJOJHi10p81A7ZVbM1BpMaY4lewo52YPEX+mirjnZf\nyHGo0WZmAjAA8A0K7jrgnKvb0xbIoqtB/UzE2QBQ1Cysa4G1nFqP2sCbTYBz+AYFwDLjaCu9Qm9I\nellTJyhmMAYmNUBAQmFw5tSRQqGAiy++GBdccAHW1tbw9a9/fagHKowPv1YD0XWQPgmZyuIvXQjR\ni/ieZ8HFE5xII8aJVN2LVoQiPDp+96jSQh0hlIIWi4qjPQDkOIiOdna3O54eiI+UXqENcrOvUy8T\nygIgOtoNKgptdfBvhzzsNMe0G+2FhLWc4mh3BI8lQ6adkAoIzVtBt0bWKwzV0f6TP/kTHD58GDt2\n7Eh0F970pjcN9VCF8cDqNdDZ2b4dnpA6clIV2mmAOTaYKaZMFp0L+bmO5gbPU4tqK8LQIM0fewyq\nHWLY6cyMSoYcAHmk4cnPBwQ3lapUwgR46DoCVDMYA0CsRyu60ox0Q1y3A2SzL0R6BV1xtLsgPg5Z\naEYAcePcoGLODatXGKrQ/tnPfobvfOc76gpvwvBrNegLp/X9On1BpUOmCWY7YAuCrpNVB6mgW7Dp\ninie2tjaEOeljlvgdYph12ZKcI8dG+tzpwF5pOEBURgLtx0gGxryKYv4dXlmB3+9gOOq0O6KKJ1T\n/DqLbqosHJVeoTvkzYKnZXPwB8Qhyh6RRjUUdWTHjh04pjahiYL7Plij0ZefDajQmjQRiV6CjnZG\nnMiCZqGhqavabghtnDR/7AKvEoohY+mQpRK4Y4P7/lifvdnBbBswdHBKsrHTCpLdpLuM6uS1I3mr\nkF0Xb1SnhWlAmEgYFNpZdFNl4ejF9AoKSTDHATcMcJrNwR8Qe/46Ga3QHqqj3Wg0sGfPHpx//vkw\nA64qIQT33HPPUA9VGB3+AB7aEtpsGUTXFUc7BeQhegFER2SdCjsttbG1IwysSaG40Kneng4pBZHr\n69DKqoXaDdxxgGAPKGZQXFBCYWlmRKNSbgttSMyFDKlsoYezOvi3gYXibA4CEh4Q04TVQa8wTFjK\nNCBrL3MgoHXKg/+Q69FQhfZ73vMeAFDUkQliUGs/QIyTPjePpqKOjI0wrCZD0QsgOiJ1dVXbFYku\nXgrFRcUs46S9HP5aOo/463VVaPcAs21wSxQVmXWQNAu2FnAilRiyDdJu1NcyXI/i8d9qPWoDi7kg\nWRl5mRdDvULwTKVXaAN3HPCs9VO6Fe7Nw65HQ1FHLrvsMqysrODQoUM4ePAgnnvuOfzwhz8c6oEK\n44ENaO0noc/Pw19ZUVfhYyLOhwSyncyqg9QdCdFLCtflVasC27fh+GLh1ILQGr+unEd6QXSQJI0q\nu9sdW97uqI52G5jdEF08kuF1uaYK7V5IuiBlNA866RUUEmC2Dd/MltaZoFFl2dF+73vfC9u2ceDA\nAezevRuPPvooLrvssqEeqDAeBk2FlNDn5wHO4a2swAjEkQrDg7WIXvLhRKoFtRWhnVZKHe3QecRZ\nxbaZLZGXtnIe6QrOOZjjwDcqyCqkAxC3O9JaTnG028FsJ/Prcku34GkAJ+rg3wmt6ZxZwKA6KKFw\ng4RONReSiNYj0XzMowk27BgM1dF+5plncM899+C1r30t3v3ud+NrX/sajh49OtQDFcZDp7CaX6w8\ni31P3AePeW1fHwkiFX1kHMhNxpbq8jwms9rY2sBsG1zXUxO9VALnkdXAS1sLDrBMeWl3Bfc8wPfD\n2Oks+cEyAVT5B7cjaTea3WEHhIAbhlqPOiAUZ5NmJo4jQODhrMU8nNXtTgLcawKMwcuB1tkc8VZh\nqEJ7y5YtIITgxS9+Mfbv34/t27fDVdy5XNGJo/2Dg4/g3w//CM+tvdD29VE6pBJEjgPZuXAyFL0A\nSnzUD0KEl14XTzqPrLnBTZGkjqiOdlfIn8vMNzY9trEpYXAbRBcvW/qO/Fxm6kqc3QEsbMDwzA6c\ngGjs2EFHW+kVkpBFr5c1rVMbvaM9FHVk586duP3223Hdddfh5ptvxrFjx+B57V1UhewQFtqxjrZ0\nTViJ2ZRJqI52OpAdtSxFL0CyuFAbWzvSDg2qmGIehR3tmOuIQmfIn0tPDwrtDAMilgx1u9MJnDHw\nkL6TZXEhxpbpmhqDDsjDYhEI8hU0pVfohPgYANndNlu6FfLkhx2DoTraH/vYx/D6178eO3fuxPve\n9z4sLi7irrvuGuqBCuOhE3VEBm7EgzckVAx7Ogi5eBmKXgAlPuoHZjtRoZ3CxhZ6aQeFdug6Ulcd\n7W6Qh0431CtkSKPS1FzoBNnVlLcKWdEWEh7OagzakEdoECAOPOtKr9ARcZtLINuMC1/qFYa8VRiq\no63rOq644goAwGte8xq85jWvGephCuODBQVAXAwZFtpuh0JbUUdSgZzMjRSiv3vBCiczUcVFBzDH\nhj9fBJBOF6/cElojOdqKOtId8tDp5nFVqzraHRF28QwKwM/0VgEAfIOKUBDOlb1vDJLS5BrZJRIC\n4sDjCkmE0iu0QHaXpcd1ZrRO3Yr0Clm4jtx66634y7/8S7zjHe9o+zMVWJMvQupIwCV1/Sbqnrjm\n7tjRrlYBQlShPSZC0Qv1Mr4ilOIjXXWQWiBFeJ6hAeDpcrSbsqOtxJD9EG1s4teZdZASVpfqujyO\n6FZBdvGy7Wg3dQowBu41QYxsCplTEXG70awoC4A4dK4o7U5HyDFwNA5LM0HJUESNgSHHlxlaNhzt\nt771rQCEvZ86zU4Wfr0OOjMDoonj7Wqsi92p0CaaBq1aVYX2mAhFLxpHJeMFFQB8U3EiWyELPC/o\n4qWxsRX1AnSqY9WRB1jF0e4HWfQ6uuCMZtVBUlaX3RHdKohfZ3mrEH8Od1xAFdohwjVJy5Y6Yunx\n2x116IyD52CxCETBQb6pD32rMFCh/dRTT+HnP/95eG3EuWjRq6I7f/i1WsJxZDlWXC93oI4AgDG/\nAOf558AZA6HZnPY2O+SC6hokMz4kEHWQfCU+akMrF6+YQieVEIKKWQ452kTXQUxTcbR7IBQG02w7\nSElhsJoLcfBYF48SCoMamTxHpzp0osHVhekBc+yBw9KmAcxxxO0jzVgMqSm9QjeEoUEay3RvDmlU\nOgWvZVBo/8d//AcIIXjuuedw4MAB/Mqv/Ao0TcP3v/997Ny5E29605uGf2uFocE5B6vXYCycG/5e\nvIu94qx0/Hv6/DzsZ34Bv1aDXqlk/p6bEWlHf3dDIcaJ5GuqcxFHaxcvravasjmLg2uHwkaCViqp\njnYPyHFY13wUtJnMnlPQgrAUqOvyVkTR3zxTFyRAHHhczQmeq8YhDpGQGtiNZrkv6AWlV+iCcD0i\n2WkVgKQwmNn2UHqFgQrtT37ykwCAd7zjHfjmN7+JhSBhcGVlBX/0R380yjsrjADuOOCeB1qKO46I\n4pqAoOGJKOnWq9xIEHlSFdojIqEuz/LULCezrsRHrQh5qYEoKK1xqJhlHOA+Gl4DM8YM6ExJ2WH2\ngNzo16mfuQOP1Cuo4iKJuN1olgUekPRwVkK8JLgTd0HKx41K6RWSiGid2c4F+dlNnQCcD6VXGOrO\n79ixY6hWq+Gvi8Uijh8/PsxHKIyByNovchyRdJFtM1sB9LH4UzztkcETHe1srwgBQVEB5+DNZmbP\nOtUgx8DWGUxqpEZZaLX402ZmwBoNcMZS+fzNBhYXBufQQVJ6hXZEdqPZHnaAwMOZCrooV9ZyCTDb\nDhNSsxRDKr1Cd8j1qGlkS98xgwZmqFcY4tA5lL3fNddcg9/7vd/Dr/3ar8H3fXz3u9/F61//+mE+\nQmEMdAyrCQrrc8tn4+j6Maw4q9g2syXx9/QFVWiPi7i6PMtTs0516FRHUxM+nSIJUYmPgKQgNU0u\nXrzQPr20XVhncg5mN0J3H4UIPNZBmsuBEynCUlQXLw45F+pattflgDj8N7TAw1mFpYTgnIM5DrwF\nQZ9KQzPSDXEHHlVoJ8Fzcn6hhMLSTLiaaH4x14GG8kB/d6hC+5ZbbsH3vvc9PProoyCE4N3vfrfy\n0s4RneLXw0K7chYePfp/+3hpq+vwUcHsgItHsqWOAGJjc3TBEWaODa082GTe7GB2A4AIDSqmWFyE\n6ZDSS7sYOI/U11Wh3QGhMDjjQ6csXDyDgtdVcRGHtBt1NY6ZjNcjSx89enozg3tNgLEoNChj2oLS\nK3RG3Nc/+725AEcTddgwNKqh7l5d1wWlFBdffDEuuugiLC0t4XOf+9xwb6owMrqlQpaNWSwU5sNf\nt0KlQ44P5jjgARcvywVVfr6j8eC5wyVQbWbEQ4My6Wg3xfyipSAdUoXWdEQUlpLtVa2cZ3G9goJA\nXjdsAFDUCmiOcF2+2cFjuh0gY462rvQK3ZBXOicgxiHamzOijrz3ve+Fbds4cOAAdu/ejUcffRSX\nXXbZcG8ag+/7uPXWW/Hss8+CEIKPf/zjME0Tt9xyCyil2LVrF2677TYQQnDffffh3nvvha7ruPHG\nG3HNNdeM/NxTFaylo805x7K7im3FLaiaQuTYsdCenwOgqCPjgDk2fCO96O9eEJxIFj5XQSDiBqeb\nzlmxWtIhVWhNT8RtFjMVBoecSBKEpXggRjY2dqcamJOP3SggDjzLOk08VyE/L3Px2dLDWekVWpE8\n+Gff0W4EwuBhRKlDdbSfeeYZ3HPPPXjta1+Ld7/73fja176Go0ePDvemMfzrv/4rKKX46le/ig98\n4AP4q7/6K3zyk5/ETTfdhK985SvgnOPBBx/E4uIi9u3bh3/4h3/AF7/4Rdx1111wh8ya3wyQ3r40\n6GjbvgPXd1G1KpizgkK7A3WEGia02TKaijoyMrjjwJfq8qxPzTGVv7omjBDn4qW5oLaKIWU6pOpo\nd0YY0pExJ1KjGkxqRN1UNRdC5N3Fk2OgirwI4YEzcEEyMwpuAiI3Kt9QeoVWhPuClq1RASDGYZSO\n9lCF9pYtW0AIwYtf/GLs378f27dvH6vgvfbaa/E//+f/BAAcPHgQ1WoVjz32GHbv3g0AuPrqq/Hw\nww/jpz/9KV7+8pfDMAzMzs7ivPPOw/79+0d+7qmKVjGk7F7PWZWwWOjU0QaEl7a3tKSuX0cA5zxQ\nl4vpkr3KvxCGsqiNLQLLyPml3Oo6Uoo42grt4I4DrmtglKTKle8EsbGJ/1ZzIULCBSnrGzbNEhHs\nUGMQhzxwOrr4HmUV3AREzR1Pp+rA2QLm2OAaBdOyv90pjOj+MhR1ZOfOnbj99ttx3XXX4eabb8ax\nY8fged5wb9oCTdPwZ3/2Z3jwwQfxuc99Dj/4wQ/CPyuVSlhbW0OtVkM5JggrlUqoBUVnJ8zPz0DX\ntbHeCwC2bt1YIrQlTwzstnO3w9paxhF2EABwxvxWnL59DlWrjJpX6/jei9u3wnn+OSyUNOilU0fg\ntRHGwHccPMU5mKUD4Dhz6wK2VrJ7r+pMCWvBZJ61yMS/B5N+vsQqEV1+1yCYm51N9b0KuoUGW8fW\nrWVop5+GIwAKxNsw/3Zg44zD854LYonu3Za5aqbvVTKLcHXRHJib0TCj5gIAYJELF5CmTnBapZLp\ne512ohp2tAuUb4jvwUZ4h+WDorB2dY6iWcj0ncqemG++ScFOrmPLltmJ5ytshDEAgBe8JrglKGXb\nF+Yyfa+50iyOBXOhZA6+Nw9VaH/84x/Hj3/8Y+zcuRPve9/78MMf/hB33XXX0C/bik996lM4fvw4\n9u7dm+iQ12o1VCoVzM7Ooh6LRK7X66j0CF5ZWhq/E7V1axmLi2tjf06aqJ8QHOtlG6CLazhw9AgA\nwPAsLC6uoWyUcaxxHMeOrbZNQlYSPxBHnnoe1lln5fviI2KjjIG3Km4JnMBLdn3Vx6KT4Xt5WtjR\nXl5cBib4PdgoYwAA9WXxHk2dAE0t1fcqG7M4ub6CxcU1NDyxga4tLm2Yf/tGGodmvRHqFZoNnul7\nGcQMOZEnjpxEvTiX2bP6YSONgb0qGk1NncB3kOl7eTYPu3j15bWJfw82yjjUjon9uE58mMTK9J04\n5yAgcCkAxnDs8BLoBPUKG2UMAMCtr8PXxXrk1Fm27+XR8HZn9fgytNizehXdQ9113HrrrbjiiisA\nAK95zWtw66234vzzzx/ldQEA3/jGN/CFL3wBAFAoFEApxcte9jI88sgjAICHHnoIV1xxBS655BL8\n6Ec/guu6WFtbw9NPP41du3aN/NxTFaxeB9F1EEtcj0g+djXgZ1etClzfhe23X2koi7/RISkLTrDZ\nZO06UtAteGEKmLomlAidFoz0ucEVs4w1twbGWcTRriuOdicw2470CjnQFpxQGKzmggSTiYQkW548\nEMR/KypbGyRPvqGlK87uBBLYyrpqX2gDcxz4pmAw5JGSOopeYaiO9v79+1Gr1TAbs5cbB6973evw\n4Q9/GG9/+9vheR4+8pGP4MUvfjE++tGPotlsYseOHdizZw8IIbjhhhtw/fXXgzGGm266CeYUhnj4\ntRpoKboyijjaIq0z7jzSap6vLP5GBw+jv0VXoTXiPm2MygPb7AjttLT01eUVswwOjlqzjhnJ0W4o\njnYnMMeGPy/Wl2IOjhdKr9AO5tjgQUczy6AUQMV/d4NswKQdoNUNSdtXJ2HzO83gtg2/LL4X2TuC\nFUbSKwxVaFNK8au/+qt40YteBCvoqhJCcM899wzzMSGKxSI++9nPtv3+vn372n5v79692Lt370jP\n2Szw67WwMw0Ay057RxsQhfbppW2Jv6vPq3TIURF1tMVilzU3zlIpYB0RF72k3bkIBZE/6Gt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7T/+Z//GQsLC7jzzjuxsrKC3/qt38KFF16Im266Cbt378Ztt92GBx98EJdeein27duH+++/H47j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\nWmEzWSd9jzC0dUi2LYu/XPvnlLtL2XN+P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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -960,7 +776,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 20, "metadata": { "collapsed": false }, @@ -968,18 +784,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 29, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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UVUVRVxVDXSqK2lQMdVVRPPHSFry3+QCyeQ3VSf+lByOdohoAb0Dk/Gefga7g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DxlUzvoyamJ39DKKtGvE3xyG7xymA0pohDaIJOZnYfaI1hLnwgI+s+xMVgtu8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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -987,6 +803,8 @@ } ], "source": [ + "temperature = forecast_data['temperature']\n", + "wnd_spd = forecast_data['wind_speed']\n", "pvtemps = pvlib.pvsystem.sapm_celltemp(poa_irrad['poa_global'], wnd_spd, temperature)\n", "\n", "pvtemps.plot()\n", @@ -1009,7 +827,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 21, "metadata": { "collapsed": false }, @@ -1027,7 +845,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 22, "metadata": { "collapsed": false }, @@ -1080,7 +898,7 @@ "Name: Canadian_Solar_CS5P_220M___2009_, dtype: object" ] }, - "execution_count": 31, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1099,7 +917,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 23, "metadata": { "collapsed": false }, @@ -1108,36 +926,36 @@ "name": "stdout", "output_type": "stream", "text": [ - " i_sc i_mp v_oc v_mp p_mp \\\n", - "2015-12-10 20:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-10 23:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-11 02:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-11 05:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-11 08:00:00-07:00 0.002169 0.001968 36.421774 0 0 \n", + " i_sc i_mp v_oc v_mp p_mp \\\n", + "2015-12-11 20:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-11 23:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-12 02:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-12 05:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-12 08:00:00-07:00 0.40838 0.370253 54.461042 44.621411 16.52122 \n", "\n", " i_x i_xx effective_irradiance \n", - "2015-12-10 20:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-10 23:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-11 02:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-11 05:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-11 08:00:00-07:00 0.002113 0.001569 0.000428 \n" + "2015-12-11 20:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-11 23:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-12 02:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-12 05:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-12 08:00:00-07:00 0.397838 0.292243 0.080723 \n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 32, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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emMWCwg0rBM26g+VzMmSJGtu4UHUjlPcNsNcRczSCI+JQT5lfOETMQZtABwCN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\nvfceeXl5xMbGEhERwfbt28nKyuLNN99E0zTGjBkjBbQPtLa2smrVKqq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RQgghhBBC9JAU\n0UIIIYQQQvSQFNFCCCGEEEL0kBTRQgghhBBC9JAU0UIIIYQQQvSQFNFCCCGEEEL0kBTRQgghhBBC\n9ND/A5Sl3pqcm/glAAAAAElFTkSuQmCC\n", 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K5vYm6RUtgaJhomhYDBxCRET2DXAaQPFQ7xVRhYUAnwteETEHIqWWDKIJqUGl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\np9sp9veQeq7RtyaUlRaIvwtFhWkdXF4X54IQYxNpp5YJQ7u5oBJjC9I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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1162,7 +980,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 24, "metadata": { "collapsed": true }, @@ -1174,7 +992,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 25, "metadata": { "collapsed": false }, @@ -1191,7 +1009,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 26, "metadata": { "collapsed": false }, @@ -1203,7 +1021,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 27, "metadata": { "collapsed": false }, @@ -1211,18 +1029,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 35, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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YcSAicobKgTaloauTqrh2uJDvDY2q93Bn0C/yQ0sLVM+N1R8j2b1DB4PoGjRT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\nipQPrgAAAABJRU5ErkJggg==\n", 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wWq9PnwO33GAiruJfH/09xrLyqr6x2QohDdANE5qqIKZNXS7zB7rwwUtOdMre/eQllr2T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\nXg/R69IpbQLKZQaj2I8A52LfsnKOQqGAz3/+8+jo6IBt27j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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1250,7 +1068,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 28, "metadata": { "collapsed": false }, @@ -1268,7 +1086,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 29, "metadata": { "collapsed": false }, @@ -1293,7 +1111,7 @@ "Name: ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_, dtype: float64" ] }, - "execution_count": 37, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -1305,7 +1123,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 30, "metadata": { "collapsed": false }, @@ -1313,18 +1131,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 38, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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+5ibVRJobRueZ8jLTK8H8OmAT3SQvDzTd5Mhvz6l73xY07n0jIhoWlqK3FOl1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\n", 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PHXHafz8y92TUwxo4pUYNw7R9N5iAxU5tch7Xn3qriRGzeroXuhmWpLbAOjka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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1342,7 +1160,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": { "collapsed": false }, @@ -1350,18 +1168,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 30, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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1NQElUxm1tnVavZS8MDUJf+ONN7R06VLdeOON+t3vfqcnn3zSzMsDAADkXXVF\ndznQ1u0k4Vaqqw5Ikhpbi7MkxdQkvLS0VO5dp7mHDBmS+zMAAIBT1Nd0J39bi7ge2QnqijwOec2S\nqaMCAABOU1/dXZPPTri1in0n3NSDmVu2bNG3vvWt3Mdbt27t8fGCBQvMvB0AAIDphlT4VeJzF+0O\nrFMMqw7IpeJ9MWRqEn7LLbf02P0+/vjjc39mVxwAADiBe1dnjq3bO4q2M4cT+H0eVVeUshPeGxdd\ndNE+P79x40Y99NBDZt4KAAAgb+prgtrQFFVrW6dqq8qsXs6gVV8T0Kr1rYp3pVTmNzVttVzeasIz\nmYyefvppzZ07V+edd54aGhrydStgQDIZQ0+83qCmHcX5ShsA0Hf1u+qRtxbpLqxTFHNduOkvKRob\nG/XQQw/p4YcfltvtVjQa1RNPPKFRo0aZfSvAFNva4lr23Fo174jrynPHW70cAIAN7NmZ45jDaixe\nzeCVjUPj9g4dWl9h8WrMZepO+NVXX60rrrhC7e3t+ulPf6rnnntOFRUVJOCwtSHlpXK5pC3bivPg\nBwCg7+prujukNBbpoUCnyOc7Em+836RXV201/bq9ZWoS3tLSomHDhqmqqkpVVVUcxoQj+LxuhavK\nOAUPAMgZNqRsV2cOnhusVJenF0OGYWjpk2v0xOsbTL1uX5hajvLII49ozZo1evTRRzVr1iyFw2FF\no1E1Nzdr6NCh/bpmJBLRjTfeqFgspmQyqVtuuUVTpkzp8TUPPfSQHnzwQXm9Xl1zzTU644wzTPhp\nMJjUVwf01trtinQkVB4osXo5AACLlfg8qqkspSbcYlWhEvlLPKbXhO+IdCnWmdJRY4aYet2+MP1g\n5rhx4/Stb31LL7zwgr72ta/p2GOP1dlnn63rrruuX9dbvHixpk+frqVLl2rBggX6wQ9+0OPxlpYW\nLV26VH/84x+1aNEiLVy4UIlEwowfBYNI9m1HdjwwmG3dHtNPfr+yaHvyAn1VXxNUeyyhWGfS1OvG\nu1Ja9Kf3tKklaup1i5FrV7vIph1xZTKGadfd0Nz9dz9qaMi0a/ZV3rqj+Hw+nXXWWbr33nv1zDPP\n7LV73Vtz5szRpZdeKklKpVLy+/09Hn/77bc1bdo0+Xw+hUIhjRkzRmvWrBnw+jG4ZEcUF+Ppa6C3\nIh1Jrd6wU4+/vN7qpQC2UL/HoUAzvbNuu15Z1ajVDTtMvW6xqq8JKJnKaHt7p2nX3NgUkSSNGlZu\n2jX7yvRALfp8AAAgAElEQVTuKM8++6yOOOIIjR49Wk899ZQefvhhTZgwQV/5ylcO+r3Lli3TkiVL\nenxuwYIFmjhxolpaWnTTTTfpO9/5To/HY7GYyst3/wUGg0FFo7yyRN/s3glnBxCD19iRlRo9LKTl\nq5t10ekdGjokYPWSAEvt2SHl8BGVpl13465d2BFh63ZhnWTPNoVhk3q2Z2Mw2sKdcFOT8EWLFunP\nf/6z/u///b9avXq1brjhBv3Hf/yHPvzwQ/3kJz/ZK4H+pJkzZ2rmzJl7fX7NmjW6/vrrdfPNN+u4\n447r8VgoFFIstjtxisViqqg4eAubcNi6Vz7oZqcY+APd77BsjyRsta5CGGw/rx3ZKQaXnT1eP7n/\nH3rh7UZ95eLJVi+nYOwUg8HMbnE46rBaSWvUFk+aurbGHXFJ0tQJdbY7h2S3GEjSuENrpJfWK9KV\nNm19m7d3qDzg05GH1VrWSMTUJPyxxx7Tgw8+qEAgoDvuuEP/8i//opkzZ8owDJ133nn9uuZHH32k\nr3/967r77rs1bty4vR6fNGmSfvrTnyqRSKirq0tr167V2LFjD3rdlpZIv9YDc4TD5baLQXnAp4at\nbbZbVz7ZMQ6Djd1iMHZ4SEOryvTUGxv06WNHqDLkP/g3OZzdYjBY2TEOZZ7u5Gzdpp2mru2jTTtV\nU+FXZ6xLnbEu0647UHaMgSQFvN3V0x9t2GHK+uJdKTVui2n8mCHati2/1RMHetFgak242+1WIND9\nlsHrr7+uU089VZIG9ArjzjvvVDKZ1Pz58zVr1ix99atfldR9YPPZZ59VbW2tZs+erSuuuEJXXnml\nvvnNb6qkxF6vKuEM9TVBbdvZqWQqbfVSAMt43G6dc+JopdIZPfWPTVYvB7BUecCnYKnX1EP7bbGE\n2qIJjRpqvx1nu8q2izSrTeHmlpgMWXsoUzJ5J9zj8aitrU3xeFzvv/9+LgnfvHmzfD5fv655zz33\n7PPzc+bMyf15f2UsTrChKaLlq5t14WmHye2mr7qV6msC+mDjTjW1xjXS5F/MJX9drXgirS//29Gm\nXhfIh1OPqdPjL6/Xc//cpPNPGqNAqenHhwBHcLlcqq8Jav3WdqXSGXk9A9+73NjcvZM7ehj14L1l\ndrvIDbtiYHUSbupO+Je+9CVdeOGFmjlzpi6++GINHTpUf/nLX3TllVdq7ty5Zt6qaCxf3aw/v9ag\ntVvarF7KoJedyrXF5MOZmYyhV99t1OYWDn3CGXxej84+bqTiXWm98OZmq5cDWKquJqB0xlDLzrgp\n19vYlG2Nx054X9RVB9QWTSjelRrwtTbaoD2hZPJO+LnnnqupU6dqx44dGj9+vKTubiU/+tGPdOKJ\nJ5p5q6KRPfG7qTmqsSOrLF7N4FZfm53KZW4rqpadcSWSGct/2YG+mDF1hP78WoP+tnyjzjpupHxe\nj9VLAixRv0eHlGwnrYHI9admJ7xP6moCWrW+VY2tHTq0/uANOA5kQ1NUHrdLw2sHHs+BML1P+LBh\nw3IJuCR96lOfIgE/gJG72hNtZJfUctmdcLOno9nlFfdgF40n9eJbW5RKZ6xeiiMESn2aMXWE2mIJ\nvbqq0erlAJaprza3he2GpojK/B7VVpaacr3BIvccPcA4ZDKGNrdENbw2aEp50UBYe3doeG1AbpdL\nm5rpbW616spS+bxu03uF22Eq12DXmUhp4YNvavETq3MvinBwZx8/Sl6PS0+8vsHUSXWAk+y5Ez5Q\nXcm0Gls7NCocktuitnhOVbfrXYiBDtVr2tGhRCpjaX/wLJJwi/m8HtXXBLSpJaqMwZOcldy7RuM2\nbu8wNRabSMJ75bmVm7Tkr6tN706TSmd072PvqqExolMn1euQOuowe6sq5Nf0ifVq3hHXyg9arF4O\nYInaqlJ53C5TkvDNLTEZhrVTGp2qrtqcF0O5d6dtEAOScBsYOTSkzkRa29vMG8ea1dreqRvueUVv\nfrjN9GsXo/qagBKpjFrNHI3bHFVlsEQVQVpnHsjG5qief3OLfvboO0okzUnEDcPQkr+u0Tvrtmvi\nYdWafc44y4YyONW5J46WS9Kf/94gY4AvTmOdSd354Jt67p8c9oRzeNxuDasOqLE1NuDfgWxXDjvs\nwjpNVahEpSWeAe+Eb2iyz8YYSbgNjAx3v8WSj5KU9z7eodb2Lu2ImJ/gF6PsoRuzDmd2dCa1vb3T\n9JaHxejys8Zq0uE1WrWuVT975G11mZCIP/7yer38zlaNqSvXVz430fL6Pyeqqw7o2HFhNTRG9F7D\njn5fJ5XO6BePvqNV61vVaUJ3A6CQ6qsDinel1RZLDOg62c4oo22wC+s0rl3vVje1xgdUHmenc1o8\nI9lA9h/Cxhbzk/CGpu5X3WPqBnaSeLAws/ZPkjbtOnBrh192u/N5PfrqhcdoyhG1evfjHfqvhweW\niL/w5mb9zysfK1xVqm/MnKzSEnpd99d5J42RJD3x94Z+fb9hGPrtX1Zr9YadOnZcWOecONrM5QF5\nV2fSc8OG5siurhwBM5Y16NTXBJRKZ7RtAO9Wb2iOqLrCr1BZ/+bXmIkk3AZyHVLysBPe0BiR2+XK\n7bbjwOpMOn2dZadX3E7g87r1lQsnaurYWr3fsEN3L3tLXYm+J+JvfrRNS5/8QKEyn+ZdMkWVlAIN\nyKH1FTpqzBC99/EOrd/a3ufv/59XPtZr7zbqsOEV+uJnJ3AgDY6T3aAZyMTGTMbQpuaY6msCtPzs\np+xzdH/frW7fNa10tE16tJOE28CQcr+CpV7Ty1EyGUMbmiMaXhtUiY9f+N6oqw7IJfN2wrOT0UaF\nScJ7y+tx65rPTdSxR4a1esNO/fShN9WZ6H35wrot7frl46vk9bj09Ysn5f7TxsCcf3L/dsNfXbVV\nj7+8XrWVpbru85P4vwiOlC1VHMhzQ/POuLqSaYb0DECuQ0o/XwxlN8bsUiJKEm4DLpdLI8MhNe+I\n92vXb3+2tnYokcxoTJ09/rE5gdmjcTc2x+T1uHJvZaJ3vB63vnzB0Tpu/FB9sKlNdz70Vq+mpDXt\n6NBdy95SMpXR1RdM1OEjKguw2sFhwpghGjOsXCvWtKipl78fqxt26Ld/Wa2A36tvzJzM4WQ4Vp0J\ncyQ2NDGufqCyvcL7ezjTbgdjScJtYtTQkAxJm7eZ16N6Q2P3P7ZDqAfvk/qaoNpjCcU6kwO6Tm4g\nQI31AwGcyOtx68v/NkEnHDVUH21q050PvXnARLw9ltBPH3xL0XhSsz49TlPG1hZwtcXP5XLp/JPH\nyJD0xOsbDvr1W7fH9PNH35EkXXvRMZZPpgMGoszvVVWoZEDlKNldWLskgE40dEjZgN6t3mizaaVk\nBjaRfWtkk4mHM3OHMjmF3SdmHc7MDgSwy9teTuRxu/XFf52gkyYM09rN7Vr44Jvq6Nw7Ee9KpHX3\nw2+peWdcn51+iM6YOsKC1Ra/Y48Ma+iQMr26aqt2Rrv2+3XtsYR++tBb6uhKac554zV+zJACrhLI\nj/qaoLa3d/X7Hetcazyek/st+251f3fCNzZF5S/xKFxVZvLK+ock3CZyHVJMrAv/uDEil4tDgX21\nOwkf2LsSdEYxh8ft1v/32Qk6+eg6rdvSroUP/lMde7xLkc5kdO/jq7R+a0SnHFOnC0871MLVFje3\n26VzTxytVNrQU8s37vNrEsm0fvbI29rW1ql/O+UQnXJMfYFXCeRHtqxwIKUQdunK4WR1NQG1xRL7\n3JA5kGQqra3bOzRqqH2mlZKE28Tw2qBcMq9XeMYwtKEpovqaoPwlHITqC7N6hecOZZKED5jb7dLc\nzxylU46p0/qtEd3+xzcVjSdlGIaWPrlGb6/dromHVuvKc8czjCfPTplYp8pgiZ775+YeL4ak7v93\nfvOn97R2S7tOPnqYLjiVF0QoHsOzhzNb+75B02azrhxOVl/dv/H1m7fFlDEMWz0nk4TbhN/n0dDq\ngDY2Rwc8kUuSmnfE1ZlIa4xN6p6cxKx+sNmhDJSjmMPtdumq84/SaZPq1dAY0R1/+KeWPb9WL761\nVWOGlesahvEUhM/r0dnHj1JnIr3X5MtHnl+rf6xp0ZGjqjTnvKN4QYSiktsJ78dzA5sy5qnr57vV\n2XIgO9Xk84xlI6PCQXV0pbQjsv9ay95qaKQevL8qAiUKlflMKEeJqjJUoooAHSHM4na5dOV54/Wp\nKcO1oTmqv76+QbWVpfrGzEkq8zOMp1DOmDJCZX6PnvrHJiV2DVR6/s3NeuL1DaqrDujai46Rz8vT\nC4pLfXX/N2h2T8q0TwLoVP3tkLJ7bod98iL+l7QRM+vCd0/KtM8/NiepqwmoZWenkqlMv74/1pnU\n9vYudj3ywO1yadY54/Tp40epviageZdMVmXIb/WyBpVAqVdnTB2h9lhCr6xq1Dvrtuv+XcORvjFz\nEjWvKEpDyv3y+zz9SsI3NHMo0yz9fUdiY1P3ObkRNhpeSBJuI2Z2SMnuhI/mF75f6qsDyhiGmnfG\n+/X92dp+hvTkh9vl0mX/MlY/+uJJuRp+FNbZx42S1+PWn179WPc+tkput0vXfX6Shg6hJz6Kk8vV\nPfOhaUeHMpm+lY1uaIqozO9RbWVpnlY3eFQGS1Tm9/RpJ9wwDG1siaquOiC/jQaGkYTbyCiTxtcb\nhqGGxoiGVQd4i76fctPR+tm3nXH1KHZVIb9OOaZOOyJd6kyk9cV/naAjRjIcCcWtviagZCqj7e2d\nvf6ermRaja0dGhW2T1cOJ3O5XKqr7tuLoW1tnYp3pW33nEwSbiM1laUqLfHkWtv1V0tbpzq6UhzK\nHIBcm8L+9iIlCccgcP5JYzQyHNQVZ43V8eOHWr0cIO9214X3/nl6c0tMhkEpipnqqgNKpQ1ta+vd\nu9V2fU4mCbcRl8ulkUNDatzeoWSq/+Prs5MyqQfvv/pczVn/d8K9HpeGVfPWPIpXuKpMP5h7os46\nbpTVSwEKIvcuaR/qke02Kr0Y1NX0rU3hhiZ7luiShNvMqHBIGcPQlm39b4+XPZR5iM3+sTlJbWWZ\nvB63tvTjAE46k9HmbTENr2VcPQAUk/60sN3dGYXnZLP0tVNNdifcbi+EyBBsZqQJHVI+zh7KZCe8\n39xul+qqy9S4vaPPfdubd8SVTGVs97YXAGBghg0pk8vVt3dJNzRH5HG7NLyWd0bN0tfppRubo6oI\n+GzXSYsk3GZGDbBDSvZQZm1lqYKltAkbiLqaoLqS6T73bd9IZxQAKEo+r0fhyrJenxfKGIY2NcdU\nXxOQz2ufrhxON2xImVzq3U54R2dS29o6bVmTTxJuMyNqu+uc+rsT3trepWg8qUPYBR+w3Ntd/R4I\nQBIOAMWmriagSEdS0XjyoF/bsiOurmTaVgNiioHP61FtVWmvdsLt/JxMEm4zZX6vwlWl/R5fz5Ae\n8+Q6pPSxTWH2F55x9QBQfOr7MCwmO6SHSZnmq6sOqj2WUEfngV8MbbBpPbhEEm5LI8MhReNJtccS\nff5extWbJ3cKvh874VWhEpUzrh4Ais7uDikH36DJdeWwYQLodL1tJcxOOPokN76+H3Xh2Z1wDmUO\nXF1130fjRuNJ7Yh08dYjABSpuj6UKm5kXH3e9PY5emNTVF6PO3eY005Iwm1o5AAmZzY0RlRd4VcF\nu7AD5i/xqKbCry19OAW/ycavuAEAA9encpSm7ufkUBmNEsyWS8IP8GIolc5o87aoRoSD8rjtl/La\nb0XY3SGlj0n4jkiX2mIJSlFMVF8TVFs0oY7OVK++fnc9eDCfywIAWKQ8UKJQme+g5SjtsYR2RhMa\nzTujeVHfi57tja0dSqUN25YDkYTbUHhImUp8bm1s7tuBQA5lmq8/vUglUY4CAEWsviaglp2dSqYy\n+/0aO9ciF4OKYInK/J4DPj/bfVASSbgNuV0ujQyHtHV7TKn0/n/BP2kDhzJN15cDOFJ3Hb/X41Zd\ndVk+lwUAsFB9TUAZw1Dzzvh+vyY3rp7OKHnhcrlUVx1UU2uH0pl950p2fyFEEm5TI8MhpTNGnw4F\nZidl0iPcPH0ZjZvOZLS5JaYRtfasPQMAmKOuunuD5kCTM7O7sBzKzJ+66oDSGUPb2jr3+Xj2hdBI\nmw7PI1Owqf50SGloiqgyVGK7saxOVl/b+53wxta4UmnG1QNAsetNPfKG5qjK/B7VVpYWalmDzoEO\nyRqGoY3NUdVWlipQ6i300nqFJNymRoa7k7/eHs5sjyW0I9JFKYrJKgI+BfzeXtWE0xkFAAaHgyXh\niWRaW7fHNCocktvlKuTSBpW6A7xbvTOaUKQjadt6cIkk3Lay0xZ726YweyiTUhRzuVwu1dcE1Lwj\nftD6fCZlAsDgUFtZJq/HpcbWfb9LunlbTIZBKUq+1R+gecLGXaUodt4YIwm3qWCpT9UV/l6XozAp\nM3/qarprzloOcABHsv8BEACAOdxul4ZVB7R1e4cMw9jrcSZlFsbQIQG5XPuuzd9o43H1WSThNjYq\nHFJbNKH2joOPr88l4eyEm254rkPKgUtSNrVENaScoQwAMBjUVwfUmUhrZ3Tv5+gNzfZujVcsfF63\nwpVl+9wJ39Bk/40xknAby5Y1bO5FSUpDU0TlAZ+GlHMo02x1udq//R/O3D2u3r6/7AAA89QdoIXt\nxqaoPG6Xhtfab1R6samrCai9I6lYZ7LH5zc2R1Xm96rGxgdjScJtbHeHlAN35ojGk9rW1qkxw8rl\n4gCI6ep7sRO+scn+tWcAAPPs73BmZldXjrqagHxejxVLG1Ry4+v3iENXIq2m1g6NHhqydV5EEm5j\n2b6WB+uQwqTM/ApXlcrjdh04Cd/1QsmuvUgBAObaX3u8lh1xdSXTtq5FLiZ1+3gxtGlbVIbsvzFm\nz8aJe4hEIrrxxhsVi8WUTCZ1yy23aMqUKT2+Zv78+Vq5cqWCwaBcLpfuuecehUL2/ovvjWHVZfJ6\n3Ac9nMmkzPzyuN0aVh1QY2tMhmHs81W1E05hAwDMk2uP94kOKRtyh/R5Ti6E7FC9PevCdw9Ksvdz\nsu2T8MWLF2v69OmaPXu21q9fr+uvv16PPvpoj6957733dN9996mqqsqiVeaHx+3WiNqgNrfElM5k\n9juF8WMOZeZdfXVAW7bF1BZLqGofw5A2Nkfl87o1jHH1ADAolJZ4NaTcv9e7pLnOKDZPAIvFvmrz\ncwdjbf5CyPblKHPmzNGll14qSUqlUvL7eyZAmUxGDQ0N+u53v6vLL79cjzzyiBXLzJuRQ4NKpTNq\nat1/e7yGpoiCpV6mcuVR7u2ubXvX56czGW3ZFtNwxtUDwKBSXxPQjkiX4l2p3OdoV1tYFQGfyj4x\nVG9jc8QRB2NttRO+bNkyLVmypMfnFixYoIkTJ6qlpUU33XSTvvOd7/R4PB6Pa9asWbrqqquUSqU0\ne/ZsTZw4UePGjSvk0vOm++2sRm1qiWr4rhHqe+roTKl5R1xHjRli68MHTpdrU9jaoaMOqe7xWOP2\nDqXSBv/hAsAgU18d1Hsf71DTjg4dUlchqXsnfEi5X+WBEotXNzhkh+o1NEaUzmTkcrm0qTnmiIOx\ntkrCZ86cqZkzZ+71+TVr1uj666/XzTffrOOOO67HY2VlZZo1a5b8fr/8fr9OOukkrV69+qBJeDhs\n77cosiaODUvPfKjt0cQ+1/zOR9skSRMOq3HMz5TlpPUedUT3LsfOjuRe6353Y1v31zgwBpKz4lCs\niIH1iIE9OC0OYw+p1jMrNymWyCgcLtfOSJd2RhM6fsIwx/0sWU5c9yHDK7VuS7sy7u6kuyuZ1tjR\nQ2z/s9gqCd+Xjz76SF//+td199137zOxXr9+vebNm6fHHntM6XRaK1as0EUXXXTQ67a0RPKxXNOF\nSrrLGz74uHWfa35rTZMkKVzhd8zPJHX/kjtpvf5dbzKs27Rzr3W/t7ZFkjSkzOeon0lyXhyKETGw\nHjGwByfGoXzXc/Saj1t19Ogqvbu+VZI0rKrMcT+L5MwYSNKQYPeQvHc/bFEynZEkDa0otcXPcqAX\nArZPwu+8804lk0nNnz9fklRRUaFf/OIXWrx4sUaPHq0zzzxTF1xwgS655BJ5vV5deOGFOvzwwy1e\ntXkqAiWqDJVo0346pDCuvjDK/Ps+gCPtUf/HIRwAGFSyhwKzY9M3NDOu3gp1e3RI6ejqHtrjhOdk\n2yfh99xzzz4/P2fOnNyf586dq7lz5xZoRYU3KhzSqvWt6uhMKlDacyR6Q1NEZX6PwkPoypFv9TUB\nvffxDsW7Uirz7/7V2dgcVXWFX8FSxtUDwGBSFSpRaYlHW3cdCsy2xqMzSmHlXgy1xrQzmpDkjIOx\ntHJwgOz4+o2fGNrTmUipcXuHRg8tl5tDmXlXX939S960Y/dueHtHQm3RBEN6AGAQyh4KbGrtUCZj\naENzVKUlHtVWsTFWSEOryuRydQ/s2dgcVVWoRBUOOBhLEu4A2Vdzmz4xvn5DU/dEKPqDF8buNoV7\nTOWiFRUADGp11UGl0oa2bI9p6/aYRg0NsTFWYD6vW+HKMm1oimpHpEujHVKiSxLuAKPC+94JZ1x9\nYQ2v2Xs6Gv1gAWBwy46v/8fqZhmG/QfEFKu6moC6kmlJznlOJgl3gLqagDxu116HMzmUWVi7p3Kx\nEw4A6JZNwt94v1mSMw4EFqPs4UzJOc/JJOEO4PW4VV8T1KaWqDKGkft8Q1NEfp+nxz885E/2AE7j\n9j2nckVV4nVr2BBiAACD0e5Dgd3PDRzKtEb2xZBEEg6TjRoaVCKZUcvO7vH1Xcm0tmyLadSwkNxu\nas8KIXsAp7G1Q+lMRql0Rlu2xzQiHCQGADBIDa0qy9WAu10ujdjHdGvkX3ZDssTnnI0xknCHyHZI\nyZY/bGqOyjAoRSm0+pqg0hlD23Z2qrG1e1w9nVEAYPDyed0KV5VKkupr7T8qvVjV73pHYmTYOZuT\ntu8Tjm57Hs48dtzQ3KHMQziUWVDZt7u2bu9QPNE9yt4pb3sBAPKjviaoph1xhvRYqCJYolmfPlIj\nHLQxRhLuEKM+0Sv8Yw5lWqKuOns4M6ZIfNdULv7TBYBBra4mIH0kjaIziqVmTBtp9RL6hHIUh6gI\nlqg84Mt1SNnQGJHP61Z9rTPqnorF8NrdO+HZ0qCRJOEAMKhNOaJW1RV+TT6ixuqlwEHYCXcIl8ul\nkeGQ3m/YoUhHQpu3xTSmrlweN6+jCilcVSaP26WtrTFt29mpGsbVA8Cgd+SoKt3xlVOsXgYchgzO\nQbJlD6+/16R0xqAUxQJej1vhqu6pXG2xBG89AgCAfiEJd5BsF45X3mmUxKRMq9TXBJRMZSRJI4fS\nigoAAPQdSbiDZHfCc+Pq2Qm3RLYNksQhHAAA0D8k4Q4yvDaQGwjg9bg0IswurBWcOJULAADYC0m4\ng/i8nu42SJJGhEPyegifFbIxKPG6NbSqzOLVAAAAJyKLc5iRu3a/KUWxTn11UC51tyZ0ylQuAABg\nL7QodJhRQ0N64/1mDmVaKFDq1dWfm6jaylKrlwIAAByKJNxhPjVlhLqSaZ189DCrlzKoHT9+qNVL\nAAAADkYS7jChMp8uOv1wq5cBAACAAaAmHAAAACgwknAAAACgwEjCAQAAgAIjCQcAAAAKjCQcAAAA\nKDCScAAAAKDASMIBAACAAiMJBwAAAAqMJBwAAAAoMJJwAAAAoMBIwgEAAIACIwkHAAAACowkHAAA\nACgwknAAAACgwEjCAQAAgAIjCQcAAAAKjCQcAAAAKDCScAAAAKDASMIBAACAAiMJBwAAAAqMJBwA\nAAAoMJJwAAAAoMBIwgEAAIAC81q9gIPp6OjQ9ddfr0gkIp/Pp9tuu03Dhg3r8TUPPfSQHnzwQXm9\nXl1zzTU644wzrFksAAAA0Au23wlftmyZjjnmGN1///36t3/7N/3mN7/p8XhLS4uWLl2qP/7xj1q0\naJEWLlyoRCJh0WoBAACAg7P9TviVV16pTCYjSdq8ebMqKyt7PP72229r2rRp8vl88vl8GjNmjNas\nWaNjjjnGiuUCAAAAB2WrJHzZsmVasmRJj88tWLBAEydO1OzZs/XRRx/pvvvu6/F4LBZTeXl57uNg\nMKhoNFqQ9QIAAAD9YaskfObMmZo5c+Y+H1uyZInWrVunL3/5y3rqqadynw+FQorFYrmPY7GYKioq\nDnqvcLj8oF+D/CIG9kAcrEcMrEcM7IE4WI8YFI7ta8J//etf6/HHH5ckBQIBeTyeHo9PmjRJ//jH\nP5RIJBSJRLR27VqNHTvWiqUCAAAAveIyDMOwehEHsn37dt18883q6upSJpPRDTfcoKlTp2rx4sUa\nPXq0zjzzTC1btkwPPvigMpmMrrnmGp199tlWLxsAAADYL9sn4QAAAECxsX05CgAAAFBsSMIBAACA\nAiv6JDyZTFq9hEGPGFiPGNgDcbAeMbAH4mA9YmC9ok3C//znP+vb3/62tm7davVSBi1iYD1iYA/E\nwXrEwB6Ig/WIgX3Yqk+4GVpbWzVv3jzV19frK1/5ikaPHm31kgYdYmA9YmAPxMF6xMAeiIP1iIH9\neG699dZbrV6EmdauXauWlhbNmjVLL774op577jn5fD7V1tbu1WMc+UEMrEcM7IE4WI8Y2ANxsB4x\nsJ+iSMJfe+01LV++XEcddZRcLpeeeuopPf/886qrq1NFRYVeffVVtbS06JhjjrF6qUWLGFiPGNgD\ncbAeMbAH4mA9YmBvRVGO8sQTT6ilpUWnn366wuGwjjvuOEUiEX3xi1+UYRh64okn9OGHH6qrq0t+\nv9/q5RYlYmA9YmAPxMF6xMAeiIP1iIG9OfJgZjqdzv352Wef1dq1a1VfX6+lS5dKki655BJ94Qtf\nUFdXl1wul3bs2KGysjL+gZmIGFiPGNgDcbAeMbAH4mA9YuAsjipHicfj+vGPf6y33npL27dv15FH\nHqlgMKjhw4frlFNO0TPPPKORI0eqrq5OL7/8sm6++WZ9+OGHWr58uc4//3yNGjXK6h/B8YiB9YiB\nPZ72p6kAAA2GSURBVBAH6xEDeyAO1iMGzuSYJDwej+uuu+5SIBDQWWedpZ/85CcaMWKExo0bpyOO\nOEJ+v1+tra164403dPrpp+vQQw/V2LFj5fV6NW/ePB122GFW/wiORwysRwzsgThYjxjYA3GwHjFw\nLtsn4evWrdOQIUMkSf/93/+tr371qxo3bpzKysr06quvavTo0aqurlZJSYmCwaCef/55pdNpHXnk\nkaqvr9eECRPk8/ks/imcjRhYjxjYA3GwHjGwB+JgPWLgfLZNwjdt2qTbb79dy5YtU0NDg9xut4YM\nGaIPPvhAxx57rMaPH6/nnntOHo9H48ePlyQFAgGVlZVpzJgxCofDFv8EzkcMrEcM7IE4WI8Y2ANx\nsB4xKB62PZh5//3367DDDtOvf/1rjRw5UitWrFBdXZ2ampr09ttvS5JOP/10PfLII7nvKSsr01ln\nnaWjjjrKqmUXFWJgPWJgD8TBesTAHoiD9YhB8bBlEr5z506tWrVKF1xwgSoqKtTS0iKPx6Pp06dr\n5MiRWrRokSQpEonouOOOUyqVsnjFxYcYWI8Y2ANxsB4xsAfiYD1iUFxsV46SyWRUVlamiRMnauTI\nkZKkl156SZMnT9aRRx6pCRMm6M0339TDDz+sf/7zn/rSl76k2tpai1ftfO3t7bkWRcTAGqlUSm53\n9+vidDqtQCBADCzA74L1Vq9erSFDhsjtdhMDCzU1NSkUCknid8Eqb7/9trZt26ahQ4cSg2JkWOzO\nO+80Xn75ZcMwDCOVShmZTKbH483NzcYXvvAFo6ury2hsbDTeeOON3OcxcE1NTca3vvUt45vf/Kbx\n8MMPG4lEYq+vIQb51dTUZNx8883GwoULjWeffdYwDGOvOBCDwnjggQeM73//+8bmzZsNwzCMdDrd\n43HikF+NjY3G97//feOyyy4zNmzYYBgGMbBCU1OTcdNNNxlXX3218fzzzxuGYfDcXGDNzc3G7bff\nbowbN85YtGiRYRjdOdInv4YYOJvl5SgvvfSS7rnnHkmSx+ORy+Xq8fjHH3+sUCikxx9/XNdff722\nbNkiSRwsMEFra6tuu+02TZw4UVdddZWWLl2qhoYGSZJhGLmvIwb509bWpp/85Cc66qijdPzxx+vG\nG29UKpWSz+eTYRi5OBCD/Eomk5K6d/4+/vhjLV++XIZh5N6ZIA75t3btWt14442aOnWq/vCHP2jo\n0KGSlItBJpORRAzyLZlM6je/+Y2mT5+u733ve0okEpKUe24mDvn3pz/9SV/60pcUDod144035g5X\nZn8XsoiB8xV8bP3atWt1+OGHS5LeeOMNTZo0Se+++67uv/9+feELX1A6nZbH48l9/UsvvaSXX35Z\nY8eO1Z133pn7jxn9l41BIpHQ2rVrdccdd8jtduvII4/Uu+++qyOOOKLHiyFiYL5sDJLJpN555x3d\ncccdkqTJkyfrvffe09FHH83vQQFk45Bt0xWLxTRu3Di1trZq7dq1GjVqlPx+f+73gTiYLxuDbOIQ\nCAR09dVXy+v1qr6+XnPmzNGIESNyCQgxyI9sHFKplFasWKFTTjlFP/jBD1RRUaGVK1fq3//93xUO\nh4lDHq1bt06HHXaYjjjiCP36179WOBzW17/+9f3+3RID53MZe2555tH777+v3/zmN2ppadHUqVN1\nzjnnqKamRn6/X42Njfr617+uRx99VMFgMLcD6Ha7tWLFCqVSKZ144omFWGZR+2QMzjjjDNXW1mrU\nqFFKp9O6/vrr9bWvfS33IskwDLlcLmJgoj1jMGXKFJ1//vmqqalROBzWXXfdpWeeeUZHHHGETj75\nZF1wwQW52mRiYK494zBt2jSdccYZmjJlihYvXqyLL75YP/zhD/Xhhx/qi1/8os477zylUil5vV7i\nYKI9YzB58mRdccUVevLJJ3X//ffrV7/6lYYPH6477rhDhx12mC655BJ5PB6eE/Lgk/8nnXfeeXrj\njTe0fPlyXXfddRo5cqR+9KMfadKkSfr85z8vt9tNHEyWjUFzc7OOPfZYnXnmmZo0aZIkafHixQqH\nw/rMZz6T+/pMJkMMikTBylEWL16s0047TXfddZeCwaD++c9/atiwYaqqqtL48eM1ZcoU/dd//Zck\n9Xgb+Nhjj+UfmEn2jEEoFNKqVatyo2pfffVVJRIJHX744Wpra1NLS0tu948YmOeTMVi+fHluB/Di\niy/W//7v/+qzn/2sVqxYIZfLlSuDIAbm2jMOgUBA7777rqLRqF566SXddddd+vDDD1VbW5uLjdfb\n/aYhcTDPJ38XXnjh/2/v/mGa6OM4jn9abU1bECklrRABEQ24NAb/xAQNLqIODGAYdUCjCXFwMsHE\nAgPGwcFEoxIGGTDxT4xB41KNPAMpiyBiGGgohRb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dg9k3X+x2UnuX1PQ5HToYREdh0MPIbxvbqwXDVxnB2B5wYqE/lmVhJFv0VEYAVB9mLIBl\naD557ZBiSxqxA6smOpPJIJVKOf9bURRUKryEQmKl80UosuQExG7E2Z0jEON9WPZwamGk7EErHUn3\nmeg4s6CByPioA62dBvDzyI98oYxyxfIcvOnskhII54HSQ4ILqLa5K5hlmAFcdm6KIDqVSiGbzTr/\nu1KpQHbZRokoaJmxwQZux4oCdd05eITty3iXO+1yDra5i4YzrbCN9bii+KkDdYI3ZkB9sU/GPAfR\n9nuB++BLOm96TnAB9QNX/Jd0qL5fIQDHHnssHnroIbzvfe/Dc889h3nz5o37e7u6ElA9FPTvra+v\nzfdrkD/NvgfZ0RK6OwxP67QsC7IElCpWU/89m3ltACBtHAIAzJzWtsdau3tSUBUJw1mz6f8OjWj2\nv0PerGZs3jK3G31dCVd/tq+3esoY09Wm/ns289oAoFip1tEePKcLPWPlTG7omtL0n0dAc+/Drmw1\n6JrWk/K0zq6xfUskvX2vRKWZ1wYAuUIJHSkd/f3tnv5879hnmBbXfP9dmyKIfu9734vHH38cy5Yt\nAwAsX7583N87OJjz/fP6+towMJD2/TrkXbPvQblSQTZvYlZv0vM6DU1FOlto2r9ns+8BAGzdXl2f\nVarss9buNgNv7sw0/d9hMlNhH7bvygAAygXT9VrNsWzPwK5s0/49p8Ie7Bz77ivkihjwUF+uqzLS\nOff7F6Vm34eNW6sP9aoET+u0ytUM9JvbR9CmNedpe7PvAQAMpQvo64x7XqeM6gPp5jeHEVcmP2me\nKNBuiiBakiR885vfFL0MIkd2tDrYwEt7O1tcV1jO4dNEl6l6Ow289MYgCmbZOa6mcAxni0jFY1AV\n91/8LOcIRjpXRFxXEFO9BV+GpnLktE9+L7TZn1N8L3hnlioYLZY97wFQN7UwgMuFzfkoRCSYn5Hf\nNkNX2ZHAp4kG3rAuOjpDmYKnzhxArWc63wv+VFuredsDoPoww+DNHz8dUgB2SQmC17Hr9ZIBDlxh\nEE20H36mFdriuop8oQyLPUE9m2jgTQ/b3EWiYJaRL3ibVggwEx0Ey7KQye07dMgNXatOy+PnkXd+\nJuUB9ZloPlB65eeCrS0ZtzPRDKKJQuFn0IotrqmoWBaKAbTRaVXpvAkJQMqYKBPNNndhGvbRIxrg\n2O8g5AsllCuWv5MxTR3rUczPI6/8BnD2AyVb3Hnnt0MKUMtEZ0ZZzkEUCicT7bMmGmCvaD8y+Wqb\nQVne9/KHHUQPMBMdqiG7vZ3fTDTfB575zYACde3VmAX1rBbAeR+2ArCcw4901v97wclEs5yDKBx2\n3ZWXaYU2Q+PAFb/SueK42bdelnNEYmgsE93hccSuznIO3/xeaAPqHmYYwHmWzpnQVNn5d9otvhf8\n81uXDtT3iWYmmigUwdRE8wPTj4plIZM3xz0N6EhpUBWJ5RwhG/aZiZYlCXqMl9r8COIyVe1EgPvg\nVSZX9FeXzu4cvqXzAWSi7YuFrIkmCsdEF9oaFWcm2pfcaAmWNX79oSxJ6Gk3mIkO2ZBTE+0tiAbs\nzhB8H3hVCxz8Z6JZSuCNZVkYyZlIBfAgw5po74LIRGuxaqtIlnMQhSSIi4V2ay/2ivYm00Dg0Nth\nIJ0z+aUUIrsmusPjxUKA7dX8qpWX+btYCLAm2quCWYZZqvjskDK2B3yQ8SyI+wFANRvNPtFEIcnk\nTSiy5GQOvKiVc/BLy4tar+7xPyxrbe5Y0hGW4ay/7hxANYBjEO1dIBcLWUrgS60zBzPRIqVzJmRJ\nQsLwNyswGY8xE00UlnTeRCoegyRNPhJ0PCzn8KeR7FtfZ7VDB0s6wjOUKSJpqIip3h8oDU1BwSyj\nwh7FngR6sZABnCf2HrQnfZQRqDIkMLHiR/WyuQrZx3czUL1cmBst+f5MYhBNtB+Z3PgX2hoV1xlE\n+9FIHWhPB4PosA1nCp4HrdiYgfMniN647NftTxCXOyVJcobekDfpnOm7lAOolnNY8P/9zCCaaC/l\nSgW5QslXPTQAGHafaH5getJYTXS1nIOjv8NhlsrIjpZ8lXIA9aO/+V7wIp0zEVNlpyTDi9qDDB/q\nvQhiUh5QbXPHmmhvSuWx72afCS6g1ubOb4cOBtFEe7EvG/i5xAPUyjk4ZMKbRmqie51MNGuiw+Bc\nKkwGk4nmMbY39shvP+VlLOfwx++gFZsRYybaq9oQtAAy0fGxNnc+e0UziCbaSzqgN6pTzsEPTE+c\nmugJsg7tSQ2qIrOcIyS1HtE+AwcGcL6k8+MPHWqUzmErvgRRlw4wE+1HUHsAMBNNFJqMc6HN3+1f\nO3BgTbQ36QbaDMqShJ4O9ooOSxA9ooG6ely+F1wrmGUUzYr/DCiHrfgSRH9ioPpeKBR5ydYLZw98\nPlAC9aO/mYkmClRtWqH/Ly0JDBy8arTNYF+HgUze5MNKCJyR38xECxNk8AawpMaroPoT2++FIrPR\nrgW1B0Dd1EKfbe4YRBPtJYhBK0D1Jrahqyzn8KjROlC7LnrXCLPRQRvO+hv5bWMQ7V0Q/YkBTiz0\nK50zoSr+ZgcAtX7drIt2z36gbE8GEUSznIMoFLXLC/6PjOK6wgypR9Ve3ZN/WLLNXXhq5Rx+Azhm\nQb1qpEtNI1RFhqpIfJDxKJ0roi2h+brcCbA23Y+gOqQAvFhIFJq00xUigCBaUxlEe1AqV5BvsJUR\n29yFpzbym5loURq5YNsonZ0hPEvnzECCN4OZaM8amR3QKGaiiUJSq4kO4ANTVzBaLMPiJRJX3OyB\nXc4xMMQ2d0EbzhQQ1xVf/YkBdqrxI6hyDsAev86HereKZhkFsxxI8GbPD+ADpXtBDLyxOUE0M9FE\nwQoyiI5rKsoVC2ap4vu1WonTI7qRTHQnM9FhGcoUfddDA+wT7UeQbb3sh3pyx9mDAGpx7QdS7oN7\n6ZwJCQF9N+sKZEnixUKioGXywVwgAWqT2piBc6eR9na29kQMMZW9ooNWKleQyZvoCCBwYDmHd0F1\n5wCqpQTcA/ecQSsBnQYAvODpRTpXRDIegyz7q0sHqhf/E4bKTDRR0DI5E6m4v+lgtoR9dMe6aFdq\nl6km/9KSJAm9HQanFgasNmgliEw0x357FWRbL0NTeDLmQZCnAbVMNL8T3EqPdWwKStJQWRNNFLRq\nV4hg3qh28JDnB6YrzmWqBvehp8NAdrTES5wBGsoGM2gFqB/0wf1xK5M3IY9lzfzSmQX1JNDTAI0X\nC72oVCxk88Fc7rQl4zFkR01fd5YYRBPVsbtCBBVEOxeqfB4ZtRo3NdEAO3SEYShtd+bwnwGNqTJk\nie3VvEjnikjFVcgBnIzxYcaboE8DAJ7KuJXJm7AQzB7YkkYMpbKFoun9ZIZBNFEduz4qFdAbNW6P\n/uYHpituaqKB6tRCABhgSUdghrPBTCsExgYPaQqPsD2oHmEH83nEAM6bQMs5OPTGkyBPA2y1XtHe\nSzoYRBPVydhv1KDKOexMNDM/rripiQY4cCUMdo/orgDKOQB2hvCiVK4g12C/9EZw0Ic3QbZWY3cO\nb5z5DUFmonX/be4YRBPVsYO3ZMDlHPzAdKdWE91YHSjLOYJnTyv0O2jFVu1RzPeBG7XpqUFlojk5\n0otA2wyyJtqTIAet2JxMtI/LhQyiieoEOVYUqCvnYCbalUzOhK4piKmNtRnsZSY6cHZ3jiBa3AFg\nOYcHQQZvAKfleZXOF6HIEhJ6cJc7eRrgTijlHM7AFQbRRIGoZX4CvljI4MGVtMtb2G2JGLSYzDZ3\nARrOFKBrivPvsF+GpqBUtlAqs71aowIvL2NNtCfpbHBtTzl4yJsgL3faajXRLOcgCkTG5YW2ydg1\n0aMFfmk1yrIsZPLu+oFWe0XHsXOImeigDGUK6AwoCw2wV7QXaZd3AyZjsLzMk3S+GFgGVFNlSOBp\ngFvpgB8ogbpMNMs5iIIReCaa5RyuFc0KzFIFKZfTwXo7DOQKJeR8jnEloFypIJ0zA6uHBthezYug\nyzk46MM9s1RBvlAO7EFGkiTomsIg2qVQMtEGLxYSBcq5AWwEXM7BwKFhbget2NihIzgj2WpP1s4A\n2tvZWErgXtDZN+6Be5kQLrTpmsKaaJfY4o5oCgg6E62zT7RrXm9h25cL2aHDP7szRxDTCm0s53Av\n6OwbO0O4F2R7O5sRYybarXTeRFxXoSrBha0s5yAKWCZvQlVk59jTL9keMsFMdMOcBxmX2Te7zR0z\n0f7V2tuFkYnme6FRQbf1YibavaBLagC2e/SiOnQouD0AgITBi4VEgcqMXSAJ4ha2La6r7M7hQsbj\nl1YvpxYGxm5vF2wmmgGcW3Z3jqD61rNPtHthZKJ1TUHBLKNiWYG95oGsYlnIhBBEq4oMQ1MOnEz0\nfffdh0suuUT0MqiFZfKmc8QTlLiuIs/uHA1LO5lo9xcLAZZzBMEp5wihOwcfKBuXzplIBHiEzYmF\n7gU9OwCoPVAWuQ8NyY2WULEstLn8TmhE0ogdGJnoq666Ctdcc43oZVALK5XtW9gBB9EcMuGK1wsk\nqXgMekxhOUcA7JHfoXTnYCa6YelccK3VgLH2ahL3wI10PvgLbTqH3rgSxqVCW9JQD4yLhcceeyy+\n8Y1vwOLxBgnitRZ3MoauolS2YJb4gdkIr/tQ7RVtMIgOwHAYFwt1BtFuVCwLmXwp0DICaeyOBoO3\nxoXRWo0nAu6EsQe2ZDyG0WLZ8xCoYEZRuXDLLbfgxhtv3OPXli9fjrPOOgtPPfVU1MshcgTdmcNW\n6xVdbniMdSuza6K97ENPh4EtO7PIjZpIBFyW00qGMkVoqoy4Hty/r6zHdcc5wg7486h6qY170Khw\nLhbaPdMZRDfC3oP2kDLRQPX91u6hfC3yIHrp0qVYunSp5z/f1ZWAGkAg0tfX5vs1yJ9m24Ntw9Xs\n27SeVKBr6xrrGhFP6ejrTQX2ukFotj0AgNFSBZIEHDynG4rs7oLnnOnt+Mu6XSjLSlP+3cbTbGtN\n54vo7jDQ398e2GvmStVTRkmWm+7vCzTfHhR2pAEAfd3JQNeWjMeQzhWb7u9ra7Z15YtlyGOfR7LL\nz6PxdHcmAADxpN50f1+g+fYAr+0CAMyc3h742nq6qnuhxTVPrx15EO3X4GDO92v09bVhYCAdwGrI\nq2bcg81vDgMAJKsS7Noq1eBh65sjiDVRuVIz7gEADI6MImnEsHtXxvWfTY5leF55fRfatKapVptQ\ns+1DpWJhMF3AW2d1BLquXLZaZjM4PNpUf1+g+fYAADZsHgIAqBICXZsqS8iPlpru7ws05z7sHhlF\nMh7DLg+fR+Mpm9WTgG070uhvC75EwY9m3IOtYw+UKJUDX5udkt28dRjGOF8ZEwXXTfUtI0lSoK3F\niNxwerIGXBNtH4lzamFj0rmi57r0WocOtrnzaiRXhGUFe6kQYDmHW2GUEQDVUoJiqYJyxVsNaKvJ\n5IpoD7gW134vFFgT3ZAw2gzakoa/qYVNlYk+4YQTcMIJJ4heBrWo0Gqidbb2alT1MpWJad0JT3++\nt5Ojv/1yekQH2N4OYHcOt8LoCgHUBXDFChLjpd4IQLVjU3a0hDn9wZbh2d05+EDZGK+zAxph92D3\nGkTzHUQ0xnmjBtyL0g6ieYlkcrnREizL+2kApxb65/SIbgs2E60qMlRFZhDdoLA6EnByZOOyTmKF\nD5Qihd3iDgCyeW/vBwbRRGMyeXs6WLAHNPYHZo7lHJPK+BxznDRU6Bp7RfvhjPwOOBMNVN8LDN4a\nE1b2jQFc48IsqQHYJ7pRIzkTuqaE0t3KHq7GTDSRT7Wa6JAy0QweJmVnHNxOK7RJkoS+DgM7h/Ps\nOe9RGCO/bdUgmoFDI5xyjoA/j+wexazHnZyTAQ34ngz3wJ10rhj4Hticcg5moon8yeRMxFQZWizY\nt0XcHnfMco5JOT2ifXxg9nbEMVos+xrl2sqGsnYQHUYmWmUQ3aC0j37pE3EuePJkbFJOYiXgco5a\nTTTfC5OxLAvpnBnKpUKgrpyjwEw0kS+ZvIlUPBZ4hxh7UhsvFk4u7bOcA6gOXAGAXSzp8GQoPVbO\nEUYmWq+Wc/CUYHLpXBFaTHYCrqA4ARyzoJNiOYd4+UIZ5UrwQ4dsTjmHiEz00NAQRkZG/LwEUdPI\n5M1Qjozy3cgKAAAgAElEQVTizPw0LIjR63abu51sc+fJcLYAVZGdDE2QDE2BZQHFEturTSadMwMv\n5QA4ft2NsFqrsd1j48LqUmPTYjJURYquxd0rr7yC66+/Hg899BAsy4KqqrAsC6eddhr+7u/+Dm97\n29s8LYRIJLNUwWix7NRHBclpccdyjkllAuhIUAuimYn2YihTRGdKC6Vnfy14KAeeYT2Q2EfYs/uS\ngb82LxY2LqxMtF0TzdOAyYXVpcYmSRKSRszpxOKWqyD6O9/5DrZt24YPfvCD+NrXvoZUqto7MZPJ\n4M9//jN+8IMfYNasWbjiiis8LYZIFL9dISbCllKNcy4W+tgHtrnzrmJZGMkWcfCMcMb+1r8Xwuj+\ncaAomGWUypVQAgcjZveJZgA3mbAy0ZoqQwL3oBFhtrezJeMxjIzdBXHLVRB91lln4Ygjjtjn11Op\nFE477TScdtppeOGFFzwthEikbABlBOORZQm6prDFXQOCmBrpDFwZYjmHW5mciXLFQmcy+HpooC6I\n5qnMhNIBXLAdDx/qGzfi7EOwpU2SVP1OYBA9uXRI8xvqJQ0Vb+7KomJZkF2ewLmqiV6xYgXuuusu\n7N69e9zfc9RRR7laAFEzSIcYRANAXFMYODQgkzehyJLzRe9FQlcR1xXsHGEm2i1n0EoIlwqBuvsB\nDOAmFFYZAVBXSsAAblLpXBGpeAyKHHwPBl1TWM7RgEgy0UYMluXt4d7V49UxxxyDhx9+GNdccw3a\n29vxjne8A6eccgqOO+44aBqP5mjqCuJC20Tiuur8DBpfJmeiLeGvQ4okSehpj2NgrFd0GLW9B6qh\nsR7RHSG0twN4qa1RYQYOrIluXHrs8ygMhqYiz9PJSYVdEw3UtbkbNZFweaHa1e9etmwZli1bBgDY\nsmULnnnmGdx9991Yvnw5+vr6cN1117n64UTNIhNALe5EDE3FwBAzo5NJ5030tBu+X6e3w8DmgQyy\no6XQHowORMP2tMKwgmi7Zzoz0RMKM3BgZ4jGVCoWsnkTM3sSoby+EVOcdpI0vjBPZWzOwJVRE32I\nu/qzns4ostks1qxZg9WrV+OVV16BruuYN2+el5ciagphTSu0xXUFpXIFJlt7jatUriBfKAXyYck2\nd97Yg1a6QirnYBa0MWG29WKP4sZkRk1YCC8DqmsKCmYZFfZMn1DYLe6Auky0h17RrjLRP/nJT/DY\nY49h69atOOGEE7B48WJccMEF6Onpcf2DiZpJFOUcQDX7E1NZ+rQ/Qe5Bb+dYh46hURw8vd3367WK\noUx4g1YAXixsVBCtHsfDaXmNCTsDar8XimbZOR2gfaXHJgmH2RKzPhPtlqud+8EPfoCTTjoJV155\nJU488UQYhv9jV6JmEGaLO6Bu9HexjLZwTgenvEyAY47ZK9qb4bBrollK0JBaR4JwugVpMZmX2iZR\nK/ELKRMdq50IMIgeXyZX9H1PZjIJpyY65Ez0k08+iZUrV+KBBx7At7/9bcyYMQOnnHIKTjnlFMyf\nP9/1DydqFnYAF8awFaBu9LeHN2mrCKK9nY3lHN4MZwpQZCm0ExmWczQm7I4EhqZyDyYRVSZ6tFhG\nRyg/4cCQzpmY0RP80KF6KWf0d8iZ6La2Npxxxhk444wzAADr16/Ho48+iksvvRRDQ0N47LHHXC+A\nqBmk8ya0EI+M2NprckEONmAm2puhTAEdKc11r9RGMYhuTHqs1aNdBhY0Q1NQ4GfRhMJ+kGGrwckV\nimUUS5VQ66GBCMs5gOqlwueeew6rVq3CqlWrsHHjRhxxxBE4+eSTXf9womaRyZmhdeYAOPq7EUHW\nRCeMGOK6il0MohtmWRaGs0XM6Q9nWiHAco5GpXNFpEI8wjZiiucJba0i7NZqzgVPltWMK4oe0UCE\nFws/9KEPYevWrVi4cCFOPvlkXH755Zg/fz77sNKUlxk1Ma3LXWsbN5xyDgYP4wqyJhoA+joMbB9k\nr+hGZUdLKJUtdIZUDw0wE92oTN5ET3uIn0dj0/L43hhfmHXpAC94NsIp8QuxRzQQYSb6yiuvxNFH\nHw1VZRE8HTjMUhmFYjnUfsJOOQeb648ryJpoAOjrimPjjgwG0wV0B9B7+kBn96wNa1ohwCPsRpil\nCvKFcqjZN11TYQEomhVnT2hPIwGWl+2PfSrDTPT4ospEx3UVErxdLHTVJ/oXv/gFnnrqqXH//4cf\nfhgXXnih60UQiZQZO8IJNYjWa905aP8yAWcd5vSlAACbdmQCeb0D3VA23EErACBLUnXcMU9kxhV2\npyCg/kSA+zCe8C932u0euQfjiWJaIVD9XEoYaviZ6G9/+9v44Q9/iG9961uYP38+pk+fDkVRsHXr\nVrzwwgtYsmQJrr76ateLIBLJ+bAMadAKUB22AoBjXidg70MqHsxJ15z+ahC9eSCDBW/tDeQ1D2R2\ne7swM9FANXhgJnp8UXweOQGcyc4Q40nnTSR0FariaSbdpJxyDmaixxXFtEJb0oiF350jlUrhiiuu\nwD/8wz/gySefxBtvvAFFUbBw4UJcddVVSCbDbUNCFAb7jRPqxUK7TzSD6HFlciZ0TUFMDeZ42Q6i\nmYlujD1oJcyaaKB6jM33wfiiCBx0Dr2ZVDpnRnIawMmR4wu7pKZeMq5icMD9GHZPKZ9UKoUlS5Z4\n+aNETScd8rRCoO5iIb+0xpXOm4Fe4unpMBDXFQbRDRqyB60kw89ED6bZNWU8UdSBskvKxCqWhUzO\nRH9neJc7dXbnmFRUNdFANRNtlioommVoLlrdhnNOQTSFhD3yG9hz7Dfty7IsZPJmoHsgSRJm96Ww\nbXcORX5RTWrYzkS3hRtExzUFRbOCSsUK9edMVVF0JGB7tYnlRkuoWFa4pwHszjGpWoeU8DPRXqcW\nMoimlhd0a7X9sb+0eIy9f0WzArNUCTxwmNOfgmUBW3ZmA33dA9FQpghZkkLP+tSyoAwe9scOHEI9\nGWOXlAlFchrAxMqk0jl76FD4HWS8trnzFER/5jOf8fLHyCXLsnDbI+twzc3PMZMWoqBbq+2PIsvQ\nYjK7c4yjdqkw2D1gXXTjhjIFtCdjoU0rtLEzxMQykZRzMIieSBRdIYwYa6Ink84V0Rbi0KF6SY+j\nvz0F0aOjo9i6dauXP0oNsiwLv3nwNdy1cgNWr9+NR57nP++wZCMo5wCqJR1sZ7R/6ZDaetnT9xhE\nT8yeVhh2Zw6AAdxkogjg9BhPAyYS9qAVoO5yJxNk40rnzUguFQJAymM5h6eLhbt378a73/1u9PT0\nQNerH7qSJOGBBx7w8nK0l2oGej3u/fMmzOhJYPdIAb9/cgNOPWZmYJ0LqCaKi4VAtUNHjkH0foVV\nlz6rLwkJDKInkyuUYJYqEQXRDOAmks4VISGai848Ddi/dD78rhCaKkMCM9HjsYegRXGpEKgr53CZ\nifYURP/85z8HUA2cLYuXQ4J258o38LsnNqC/K47LPrkQ9/55E/7w1EY8+pc38e5jZ4te3gEnkzOh\nxWRXN3K9iOsKdo+wK8H+hFWXrscU9HcnsGlHhiOOJ+B05gi5vR3Aco7JpPMmkvEYZDm8f1dZSjCx\nKNoMSmODh7gH+xfVoBWbU84RxcXC2bNnY9WqVbj55pvR3d2Np59+GrNnM7gLwt1PbsDtj76O3g4D\nl39yITpTOs44YS40VcbvntgAs1QRvcQDTiZfDPXYzmZoKoqlCkpl7uHewhwwMac/hXyhhF18gBmX\n05mD5RzChd2fGOAeTCadjaY/MQcPjS+Kkpp6te4cEdREf+c738Ef//hH3HvvvSiXy/jtb3+L5cuX\ne3kpqnPf05twy8Pr0N2u4/JPLkR3uwEA6EhqeNfCWRhMF/D46jcFr/LAk8mXkIqghU6tzR0/NPcW\nVk00UDe5cAc7dIzHHrQSSSaaXQnGValYyAbc6nF/dAbREwrz86ierqmsiR5HlD2igfruHBFkoh97\n7DF85zvfga7raGtrw3//93/jkUce8fJSNObhZ7fgf+5/FR0pDZctW4jevZq8n3niXMRUGb9buYGZ\nzAAVzTIKZjnU9na2ONvcjSvMXt21Dh3pwF/7QOGM/A550ArALOhEMqMmLESRAeWDzETSEU3KM2Is\n5xhP1OUczsXCKLpzKMqetaPFYnGfX6PGPfqXrbjxnpfRlojhsmULMa07sc/v6UzpOHXBTOwaGcXK\n1dsErPLAFMWgFZudgWMQva8we3XP6WObu8kMOoNWoqyJZvCwtyhqcQHuwWTSOROGpiCmhjtKQ9cU\nFMwyKrxbto+oM9EJI8I+0WeeeSYuvvhiDA8P4xe/+AXOOeccvP/97/fyUi3vyRe34Re/X4ukoeLS\nZQsxszc57u9930kHQVVk3LXyDWajAxJlEM1yjvGl82a1I4ER/D50t+tI6CqD6AkMRzTyG2AWdCJR\n9IgGAFWRoSoSJxaOw+5PHDb7YYZzIPYVxeTOejFVhh5TkM1H0OLu/PPPxyOPPIKZM2fizTffxEUX\nXYTTTjvNy0shnU7jsssuQzabhWma+PKXv4xjjjnG02tNNU+v3YGf37UGhq7ikmXHOMfO4+lq0/HO\nBTPw4KotePLF7Tjl6BkRrfTAFcWgFZs9dYmZ6H2lc8XQOhJIkoQ5/Sm8smkIhWLZqQelmuFMARKA\n9mR0gcNogYHD3qIcc2xoKh/o98OyLKRzJg6a3hb6z6of/W0/XFJV1JlooHq5MJJM9Pnnn48tW7bg\nU5/6FL7yla94DqAB4Be/+AUWL16MFStWYPny5fiXf/kXz681lTz36k789I4XEYvJ+NInFuDg6e0N\n/bmzTjoIiizhrifeQLnCbLRfzqCVSGqix8o5mIHbRybky1Rz+lOwAGzeyWz0/gxlimhPalDkcI+v\nAZYSTCSqC21ANYAr8LNoH/lCGeWKFVHHJrYaHE/UNdFAtc1dJBcLP//5z2NgYABf+MIX8JGPfATf\n+9738Nxzz3l5KXz605/G2WefDQAolUrO8JYD2er1u/Cj21+Aoki4eOkCHDqro+E/291u4K8WzMSO\nwTyeeml7iKtsDfYbNZqaaDsTzQ/MehXLqgbRIQYOHP89PsuyMJQtRNKZA2A5x0Ts7FsUD/WGzvZq\n+xPFoBUbu6SML50zIUuS03ouCqm4inyh5CpB6SmIPuaYY3DRRRfhpz/9KT7+8Y/jtttuw9/+7d9O\n+uduueUWfPCDH9zjPxs2bICu6xgYGMDll1+OSy65xMuSpoy1Gwbxg9teACDhoo8djbfP6XT9Gmed\nNBeKLOHOlRtQqfBCgh+R1kTbwQPLOfaQGy3BssItqZnNIHpco8UyimY00woBZqInEm05RzWI5sC0\nPUV1uROoy0SzJnof6VwRqbgKOcIBWfbAlZyLbLSnEP8b3/gGVq1aBUVRsGjRInzjG9/A8ccfP+mf\nW7p0KZYuXbrPr7/88su45JJLcMUVV2DRokUTvkZXVwJqAKOv+/rCr3fan+/e/DwsC/invzsBiw6b\n5uk1+vra8J7j5+LepzZg7ZYRnDpFpxiK2oN65bHvj7mzOkNfz4x0NcMhqUpT/N2B5tiD4kA1sO3r\nToa2nvbOBGQJ2LY73xR/572JXNOm7dXWf9N7U5Gsw7IsyLKEstUc//7ZmmEt5tgH0sFzuvZpcxq0\ntqSOcmUEXd1JxAL4Tg2K6H1Yv736eTS9ry30tXR3Vjtx6XFN+N+7XjOsJTNaQk+HEelaerrG9iOh\no69v4jtqNk9BdDqdhmVZOOSQQ3DooYfiLW95C9rbG6vp3dtrr72GL37xi/j+97+PefPmTfr7Bwdz\nnn5Ovb6+NgwMiOkZu+y0Q1GuWJjbm/C1hvcsnIn7/7QRN/1hDebPag91RGwYRO5BvR27qwM4zFEz\n9PWM5qptxHYN5pri794se7Bh8xAAQJUQ6nqmdSfw+tZh7Ngx0lTjv0Xvw+ubBgEAuiJFtg4jpiCd\nLTTFv3+A+D2wDYx9vxXzRQyY4Z5Y2WHzpi1DkdadTqQZ9mHzthEAgGxVQl9LeSwDvX0gjYHefVvb\nitAMe1AqV5DNm5jTl4x0LTKqD7GbtgxBQ+2EZqJA3lMQ/d3vfhcAsG7dOqxcuRIXXHAB8vk8Hn30\nUdevdc0118A0TVx11VUAgPb2dvzwhz/0sqwpYVaDTzeT6euMY/GR0/HYC2/i6Zd34ASPWe1W51ws\njIdfd5XQWc6xP5mI6tLn9Kfw5q4cdg6Poi/kLN9UUhv5HV0gxXrc/cvko+lPDNTqcQvFMtqaI35r\nClF2heDFwv3LRNzezpZ0Rn+HXM6xbt06PPnkk3jiiSewZs0aLFiwAKeeeqqXl8KPfvQjT3+OgPcv\nPggrV2/DnSvfwKL5/ZHWDh0o0nkTekyJ5DjTGbbCD8w9RNWRYE5/Cn9aswObdmQYRNcZsqcVRlQT\nDVQvF45ki5H9vKmiWgcaTUsv1qbvX5RdIZwWd6yJ3kOUden1aqO/G29z5ymI/sd//Ee8613vwqc/\n/Wkce+yxkCNoi0T7mtaVwElHTMPK1duw6uUBLJrfL3pJU07YrdXqGRz7vV9RXe6s79Bx7Nv7Qv1Z\nU8nQWCa6I8IgOq4p2DHI90E9uz/x3GnR1IDWuqQwgKvHTLR4IxGNXd+bPezLzehvT9HvnXfeiUWL\nFuH+++/H8uXLcf/993t5GQrA+08+CJIE3PH4Gxwd6kEmF25rtXqqIkNTZQbRe8lElPmZ018NTtih\nY0/DWTsTHWE5h6agVLZgltjr3ub0J47o88hprxZy7fVUE2kmmt059kvEoBXAWzmHpyD6Zz/7Ga69\n9lrMnDkTs2bNwk9+8hP8+Mc/9vJS5NOMniROPGwaNg9k8PyrO0UvZ0opmGUUS5VImurbDF1lOcde\nouqN25nSkIrHsJlB9B6G0tVMdHsyyiCavaL3VutPHHE5B/vW7yGdM6HFZKfUIkxOOQf3YA8iBq0A\ndeUcYWei77jjDqxYsQLnnXcePv3pT2PFihX4v//7Py8vRQH4wOKDIQH4v8dfZ89PF7IR9oi2xTWF\nFwv3EtXodXv8946hPE8D6gxli2hLxKAq0ZXlsR53X1GdyNiMGLOg+5POFyPp0w3U7snwNGBPtX7p\n0WaiE04mOuQg2rKsPSYL6rqOWCzavyzVzOxN4vjD+rFxewbPr9slejlTRpTTCm3VTDQ/MOtl8iYU\nWXICqzDNHuuOs2UgG/rPmiqGMwV0JKOdFMt63H1FfZnKCeC4Bw67Lj2yPYixJnp/MsLKOeyLhSGX\nc5x00km46KKL8OCDD+KBBx7AF7/4RZx44oleXooC8oHFBwMA7mQ2umHOhbYI36hxTUHRrLgaK3qg\ns+vSo+jdXLtcKL4ncDMYLZYwWiyjsy3aY1NDtzPRfKC0OWVNkXfn4B7YCmYZZqkS2WlArS6dQXQ9\nUeUchqZAkaXwu3P80z/9E371q1/h9ttvh2VZOOmkk3D22Wd7eSkKyOy+FBbN68PTLw/ghfW7cfSh\nPaKX1PScGsQoyznqsj9Jg11tgOo+9LRH03JuDsd/72HYbm8XeSaa5Rx7S0fcG9epx+UeOKI+DdBU\nGRKYid5bOleEhGhPiYFqyV/SUJHNh9gneu3atdiwYQNOO+00nHPOOW7/OIXoA4sPxtMvD+COx1/H\nUW/pbqqpbM3IfqOkInzatYPofKHkHB21slK5gnyhHNmX1szeJBRZwqYBBtFAfXu7qDM+LCXYW9Qd\nCfggs6+og2hJkqBrHDy0t3TeRDIeEzKJORmPOafUjXCVCrvppptw3nnn4brrrsOHPvQh/OEPf3C9\nQArP3GltWPi2XqzfOoJXNw+LXk7Tc45PjfCnFdrimh1E80MTiK5HtC2mypjek8DmHVm2hISYQStA\nfWcIlhLYoj7CZo/ifaUF9Cc2NIV7sJco69L3lhjLRDdaFus6iL777rtx8803Y8WKFbj++us9LZLC\ns2TRHADA4y+8KXglza9WEx3tuGOAA1dszsjvCD8w5/SlUDDLGBjKR/Yzm5WIkd8As6D7k4moS42N\nbQb3JaIrhK6prImuU6lYyObNyDtz2JJGDBXLavizyVUQrWkaenqqtbbz589HPs8voWYzb24nutt1\n/HntDhT5xpxQ1FlQoL4mml9cQHTt7eo5ddHbWdIxNDZoJcpphQADuP1J54pQlWi61AB8kNkfJxMd\nZc/0GDPR9TJ5Exaiv1Roq3XoaKykw9fNJkWJ5s1OjZMlCScfMR2jxTKe5fCVCQkJop3R3/zQBMQc\nn9pB9GbWRdddLGQmWrTqEbYW2V2WmCpDktgZol7UNdFAtUNHwSyzvGyMqGmFtmR8rFd0g5cLXRWD\nDg8P4/bbbwdQ7ado/2/LsiBJEj784Q+7XC6FYfGR0/G7JzZg5eptOPHwaaKX07QyORO6piCmRjhk\nwr5YyAwcADEPMuzQUXPs2/ugyBK6O4xIfy6D6H2lcyamdUXTpQaoXmozNJXT8uqIqokGqrXp9kll\nK3PmNwjKRKdcZqJd7diJJ56Ip556atz/zSC6OczoSeKQGe1Y/fqu6iCFiI9qp4q0gLorp5yDX1wA\nxNREd6R0tCdiDKIBHDevD8fN64v857KcY09Fs4yCGV2XGpuhKShwWp5DRHmZE0SbDKKB+laP4i4W\nAo0PXHG1Y1dffbX7FZEQi4+cjtffHMGTL23HGSfMFb2cpmNZFjJ5E7N6k5H+3Fo5B7+4ADFfWgAw\nuz+Fl94YRG605HxoUnRqw1b4MAmIHS7hpp3Xga5aly5HVpcO1Pp1sy66Snw5R4Q10dS8TjisH4os\nYeXqbaKX0pSKZgVmqRJpBhTYs0801XUkiDh4YF20WCzn2JOI6alAdR+4BzV2a7UoZyzofC/sQdQD\npc25WNjgwyWD6ANUW0LD0Yf2YNOODDZu54jjvUXdTsrGmug91UYdR5sNZl20WIosI6bKLOcY42Tf\nIv480mMKzFIF5Uol0p/brET0J64v5yBx7wWbc7GwwXIOBtEHsMVHzgAAPPEis9F7s4PoZNQ10c6Q\nCX5gAvWXO6Pt9DOnvw0Ag2iRmAWtEVfOUQ0YWEpQX5ce7R7Uxq/zgRIQn4lOucxEu07/PPHEE/jV\nr36F9evXQ9d1vO1tb8MnP/lJHHPMMW5fikJ29KE9SBoqnnxxOz7+rkOhyHxmsqXzYp527S8tZqKr\nRFzuBIAZPYnq+G8G0cIwiK4RVQdaX1aTMMRk/pqFiPZ2QP0lW74XgGaqiQ4hE3377bfjiiuuwIIF\nC3D55Zfji1/8Ig499FBcfPHFuOeee9yvlkIVU2WccPg0DGeLeOmNQdHLaSoZQW10YqoMVZHZJxq1\ny51RtrezqYqMGT1JbBnIoFJhf1YRDE1l9m1MWtDdANam19QSK2L2gKcBVem8ibiuQlXEJP0Sut0n\nOoRM9HXXXYebbroJc+bMcX7t1FNPxemnn45LL70UZ5xxhpuXowgsPnI6Hlq1BStXb8NRb+kRvZym\nIaomGgASusLgAdUaQLNUEXZsN6c/hc0DGWwfzGFGT7RdWqiWibbnDLQyZkHFE7UHTjkHa6IBVPeh\nXVAWGgBkWUJcV8PJREuStEcAbTv44INRLvNfgGb0lhntmNadwKpXBtgRoo6ommigermQe1F3GiDo\nAkmtQ0dWyM9vdYamwrKqnXJanYghH0CtM0SBD/XOHrQLmt7JTDRQsSxkxiZ3ipQ01HBa3MkT1NRa\nHFnZlCRJwuIjp8MsVfD02h2il9M0RPUnBoC4prKcA+Kb6s+ZZnfoYPcaEWqlBAzg0nkTkoTIe5az\nnKNmJCvmO0Fndw5HbrSEimUJ+06wJeOxcCYW1o/5tkmS5IwAp+Z08hHT8L+PrMfK1dvwVwtmil5O\nUxAxKc8W1xUUzDIqFQuy3LrH2CJGfteb0zcWRG/n5UIR6gO4DsFrES2dq94NkCMua3F6FDOAq9VE\nC+qQwo5N4i8V2lKGOjZLojxp5yhfY7/rnXTSSW5eiiLU2xHH/LmdWLtxCDuH8ujtjIteknAiA7j6\nkcetfCNe5IMMUD227Uhq2MSBK0KwHrcmkyuiI6VH/nOZia4RVhPtPMjwREZ0ezub/b2cHS2hMxVg\nEM2x31PXyUdOx9qNQ3jixW344DsOEb0c4TJ5E3FdEXIDOK7bo79bu61Uram+uA/MOf0prH59t7Au\nIa2M5RxVpXIF2dESZo+djESJfaJrMqIud3Lst0P0oBVbfZu7zkkebl1FEJVKBb/85S/xyiuvAABu\nuOEGfOADH8Dll1+OTIbZnGa2aF4/NFXGytXbWL+OahCdFBTAcmphleiaaKB2uXALs9GRM+yHyRYP\nHuwuACLeBwYHfTjSuSKUsc4MUWJJTU2zZKKTRuNt7lwF0d/97nfx2GOPIR6P45lnnsH3v/99fPWr\nX8Xhhx+Oq666yttqKRJxXcWx8/qwfTCPdVtHRC9HKMuyhIx3tdl9KFu9Bk50TTRQC6I3cuhK5OrL\nmlqZnX2Lumc9UHuQYTlH9WGmLRGLvN2ipsqQJGaiAcAsVTv1dLZFX9pUL+mUc0weRLt65PrjH/+I\n//3f/0UsFsONN96IM888E4sXL8bixYtx5plnelstRWbxkdPx5IvbsXL1Nrx1Vute5SmYZZTKFaQE\nlRHYx9itnokWXRMNALP77Q4dDKKjxnrcqqzATkG1kdOtvQcAcOaJcyGiXbkkSZzeOeYdR01HWyKG\neXM7ha4jGbcz0ZN/R7vKRCuKglis+kZ/6qmn8I53vMP5/1gi0PwOP6gbHSkNf3ppu/PE14pE9ye2\njwtbvVd0Om9CApASWBc+vTsBVeH4bxGcILrFT2Tm9LfhlKNm4MTDp0X+s3kaUPPOBTPxV0eL6V6l\nxxRmolG90HfSEdMj71KzNzeZaFdBdDwex5YtW/Dqq69i/fr1ThC9du1apFLRX4ogd2RZwslHTEeu\nUMLzr+0UvRxhMqOCg2iNQTRQPcZOxmNC2/ypioyZvUls3ZlFudK6D5YiMICrShgqPvP+wzCzN/qp\nmRN2G4cAACAASURBVBz00Rx0TWVNdBNxaqKDDqIvvvhinH322fjEJz6BCy+8EJ2dnbjpppvwmc98\nBhdddJG31VKkFh85HQCwcvU2wSsRR3QZgVHXnaOVNUtHjDn9KZilCrbvzoteSkthOYd4OvegKRjM\nRDeV+u4ck3HdJ/rBBx9EPp9HR0e1pvbII4/ETTfdhEMOYdu0qWB2Xwpzp6XwwvpdGMkV0S74FqwI\nIqcVArVMdCtn4CqWhUzexLTuhOil1Iau7MgIyQa2KgbR4smSBD3GelzRdG1sAJdlCS9loLpyjqC7\ncwCApmlOAA0ACxYsYAA9xSw+cgbKFQt/emm76KUIIborRK0munW/uMrlCiRI6BZ8CxuodehgXXS0\nWM7RHHRNYSmBYCyraS61co6ALxbSgeHEw6dBlqSWLel466wOzJ/bibfNEXMD2Bm20sLBQ0xVcOmy\nY/CJ094qeimYM60NAIPoqMXZXq0pVDtDtO5nUTNwgmg+zDQFLaYgpsoNZaKj7Sq+H7lcDpdccgnS\n6TRisRiuvvpqTJsW/S3lVtKR1HDkW7rxl3W7sGVnFrNa7Aj7kBntuPxvjhX28w2nT3Rrf3HNP6hL\n9BIAVE8kutp0bObAlUjpMQUS+D4QzdAUjGSLopfR0nROLWw6SUMN/mLh/vzzP/+zrz9/yy234Kij\njsIvf/lL/PVf/zV+/vOf+10SNcC+YPhEi2ajRWJ3juYzpz+FwXTBKfWh8EmSVC0lYOAglH2pjW1q\nxeEFz+aTjMeQi6Kc44UXXvD15z/1qU/hc5/7HABgy5Yte9RbU3iOeWsv4rqKJ17chkqFH55Riqky\nVEVq+XHHzWS2fblwe1rwSloLh0yIZ+gqLLCUQCSWczSfpFENoieLjyIt57jllltw44037vFry5cv\nx5FHHonzzjsPr732Gq6//vool9SytJiC4+f345Hnt2LtxkEcfnC36CW1FENTmYluIvWXCw/jeyEy\nhqYi18CRKYWnvpTAvuxJ0eIl2+aTNKoPl7lJvqd9v2O+9a1vNfx7ly5diqVLl+73/7vxxhuxfv16\nXHDBBbjvvvvGfY2urgRUVXG9zr319bX5fo2p7qxT3oJHnt+KVa/twqnHHxT5z2/lPUglYiiWKsL/\nGYj++c1iwXwAd7yIHSMFIf9MWnUfUkkNu9Ni/pnvrRnWIEJnuwEASKQM9PWJH5rWivvQ21Vt9akZ\nWlP8/ZthDaLZe6JP0gbYdxB91FFH+frz//Vf/4Vp06bhQx/6EBKJBBRl4gB5cDDn6+cB1X9BBgZ4\nbNuXiqG3w8Djz2/Fx995SKRZiFbfA02RMZQuCP1n0Op7UC+GCmKqjNc2DUb+z6SV90GVgKJZxrbt\nw1Bkcc2iWnkPMHZcvXXbCGIQW9rXqvtgjmWgB3ZmhP/9W3UP9iaPvRc2bRnGzN7xHy6Ft7j72Mc+\nhjvvvBPnnnsuLrnkEixfvlz0klqGJElYfOR0FMwyXnpjUPRyWkpcVzFarDbXJ/EUWcassfHfpTLH\nf0fFfnBnVwJxapfaWEogil1Sw37dzcMZuDJJuZnwAqienh525BBoyaI5yI6WcMiMdtFLaSn2wJVC\nsez8dxJrTn8Kb2xLY9fIKKZ1iZ+k2AqMul7RCUP8CPhWFGdnCOE4bKX51EZ/BxhEX3vttRP+/xde\neKGbl6MmkIrHcM573y56GS3HDh7yhRKD6CZx+glz0ZHS0DNWI0rhszPR7FQjjs7OEMLVLhZyD5qF\nM7UwH+DFwh//+Mfo6OjAkiVL0N/f7/y6ZVmQOO+dqGHsFd18ZvUm8dF3Hip6GS3FYCmBcAYz0cLp\nzEQ3nVAy0Y8++ijuvfde3HPPPdi0aRPOOOMMnH766ejuZksoIjecTDQ/NKmFMYATj1lQ8Zy6dJMP\nk80ilEx0d3c3li1bhmXLlmFgYAD33HMPLr74YmiahjPPPBMf+9jHvK+YqIXYmWiOPKZW5gRwBQZw\novBioXgGx343nUYvFnruztHX14cPf/jD+MhHPoLh4WH88Ic/9PpSRC3HroNmJppaGcs5xONpgHi1\nTDT3oFnYQfRko79d32gaGRnB/fffj3vuuQevv/46TjvtNHz1q1/FggULvK2UqAXF6y4WErUqBnDi\nMQsqnqbKkCS+D5pJXFcgSxIyQdZEf/azn8XGjRvx7ne/G5/73OewcOFCX4skalUs5yDiuONmwD0Q\nT5IkGJrCB5kmIkkSEoaKbD7AIPrxxx8HANxwww244YYb9vmBa9ascblMotZkjJVz5BhEUwtjJlq8\n+l7dJI4eYxDdbJKGimyQ5Rxr1671tSAiqorzi4uIQXQTcKblcQ+E0jWV5X1NJhmPYefw6IS/x1UQ\nXS6XcdNNN2HDhg049thj8f73v9/XAolaFftEE9VOZFhKII6qyFAVmUG0YEZMwVC6IHoZVCdpxFCu\nWBP+HlfdOb75zW/innvugWEY+OlPfzrpBEMi2j+D3TmImIluEoamcGKhYPYeVKyJgzaKTjI+eZ7Z\nVRD9pz/9CStWrMBll12GG264Affcc4/nxRG1srgdPDATTS0sziC6KRiawtMAwTi1sPnYbe4m4iqI\nNgwDslz9I11dXc5/JyJ3YqoMRZaQ5xcXtTBVqb4PGMCJxc4Q4tmnMjwRaB721MKJ+IqCJUny88eJ\nWpYkSYjrKie1UUuzW3sxEy2WPrYHFksJhNHZr7vpNJKJdnWxcOvWrfjKV77i/O8333xzj/+9fPly\nNy9H1NIMTWEmmlqeoSl8mBTM0FSUKxZK5QpiqiJ6OS1JZ2lT02mkJtpVEP3lL395j+zz8ccf7/x3\nZqWJ3InrKnYO50Uvg0goQ1MxlGFXApGMujZ3DKLFqF2yZWKlWQSeif7oRz+631/ftGkTbr75Zjcv\nRdTy4mMZuIplQeZDKLUolnOIV98lpS0heDEtyp4cyZro5pGMB3yxsF6lUsH999+Pz372s3jf+96H\nDRs2eH0popZk6CossAaOWpuhKShXLJiliuiltCwngONnkTAcetN8GrlY6CoTDQDbtm3DzTffjFtv\nvRWyLCOTyeDuu+/GnDlzPC2SqFXFnUETZee/E7UaO4AbLZYQUzXBq2lNrMcVz2CLu6YTeIu7z33u\nc/ibv/kbjIyM4Hvf+x4eeughtLe3M4Am8sAOnDm1kFoZB66Ix3pc8ZxMNMs5mkYi6BZ3AwMDmDZt\nGjo7O9HZ2cnLhEQ+2IMm2KGDWlktE83gQRRmosXjw2TzURUZs/qSE/8eNy/429/+Fi+//DJuu+02\nnHvuuejr60Mmk8GOHTvQ39/va7FErcYe/c32XtTKDJ1ZUNEYwInHuvTmdOWnj5/w/3d9sXDevHn4\nyle+gj/+8Y/4whe+gOOOOw7vfe97cdFFF3leJFErcjLRLOegFsYATrw4O0MIx7HfzUlVJg6TPd9m\nisViWLJkCZYsWYKdO3fijjvu8PpSRC2JNdFEtQwc3wfi6KyJFs7ZA5N7MJW4DqIffPBBvPWtb8Xc\nuXNx33334dZbb8Xhhx+Oz3/+82Gsj+iA5QQPzDxQC2MmWjzugXgGx35PSa7KOa677jpce+21KBQK\nWLt2LS699FIsWbIE2WwW//7v/x7WGokOSHG7FpQZOGphvFgoHnsUi8fLnVOTq0z07bffjt/85jdI\nJBL4j//4D7znPe/B0qVLYVkW3ve+94W1RqIDklPOwSNUamG8WCiec8mZeyCMpsqQJLa4m2pcZaJl\nWUYiUZ0J+tRTT+GUU04BALa6I/KgVhPND01qXSwlEI+DPsSTJAmGpnAPphhXmWhFUTA8PIx8Po81\na9Y4QfSWLVsQi00+2YWIauK8zEPEco4mYLCcoynoMQbRU42rIPr888/HRz7yEZimiY9//OPo7+/H\n73//e1xzzTW48MILw1oj0QHJPkLNsSaaWhgfJsWLqTJkSWIpgWC6prJLzRTjKog+88wzsXDhQgwO\nDmL+/PkAgGQyiX/913/FiSeeGMoCiQ5Umv3FxXIOamFOOQffB8JIkgRdU7gHghkxBYPpUdHLIBdc\nt7ibNm0apk2b5vzvU089NdAFEbUKSZIQ1xVeLKSWxh7FzcHQFO6BYIamoGhWUKlYkGXeNZsKXE8s\nJKLgGJrKFnfU0hRZhqbKrMcVzNAUTiwUzJlayH2YMhhEEwkU11V256CWV82C8n0gEvdAPINB9JTD\nIJpIILucw7Is0UshEsbQVJYSCGZoKsxSBeVKRfRSWpbOqYVTTtME0evWrcOiRYtQLBZFL4UoMnFd\nhWUBRZNfXNS6mAUVjwGceJxaOPU0RRCdyWTwb//2b9B1XfRSiCJlH9+xzR21MnvIBE9kxKlNjmQA\nJ0qtZzq/D6YK4UG0ZVn4+te/ji996UsMoqnlxDlulwiGrsICa0FF4sAV8VgTPfW4bnHnxy233IIb\nb7xxj1+bOXMmzjrrLKfvNFEriWsc/U1UP/rbzsZRtDg5UjydDzJTTqSfVkuXLsXSpUv3+LXTTz8d\nt956K2699Vbs3LkTn/3sZ7FixYpxX6OrKwFVVXyvpa+vzfdrkD/cA6CnOwEA0OMxIf88uAfNodX3\nobM9DgBIpAz09aWErKHV96C7q/pZZCQ0of8sWnkf+nqSAABNF/N94KyjhffALeGP/Pfee6/z39/9\n7nfjuuuum/D3Dw7mfP/Mvr42DAykfb8Oecc9qKqUqhmHbTvSGOiKR/qzuQfNgfsAYKwjxNZtw9AQ\nfV009wAom9WSsu070hjoNISsodX3oThqAgAGdmWF/XNo9T3Yn4keKoTXRNeTJE7oodbCcg4ijv5u\nBgY7QwjnXO5kTfSUITwTXe+BBx4QvQSiSMXHPjQ5+ptaGetxxXPaqzGAE8aIVd8HbDM4dTRVJpqo\n1Ri6nYlmEE2tq5YF5ftAFLZXE88Z+80gespgEE0kkF3OwWNsamUsJRAvzgBOuNppAB9kpgoG0UQC\nsZyDiOUczYDT8sRjr+6ph0E0kUCGxnIOIpZziMdyDvEMngZMOQyiiQRK6MzAEXHktHgc9CFeTJUh\nSbzcOZUwiCYSSItVPzSZiaZWxiyoeKxLF0+SJBiawkz0FMIgmkggSZIQ11T2iaaWxgBOPHaGaA56\njEH0VMIgmkiwuK4wE00tjUG0eLIkQY8p3APBdE3licwUwiCaSDBD54cmtTY9pkACMMqHSaEMTeFn\nkWCGprAmegphEE0kmF3OYVmW6KUQCSFJEnSNWVDRdAZwwhkxBUWzgkqF3wdTAYNoIsEMXUHFslAs\nVUQvhUgYg0G0cNwD8ZzadD7MTAkMookEc9rc8SibWpjBWlDhDE1FsVhGhadiwhgMoqcUBtFEgjkD\nV5gBohZmaArfA4IZmgILQJEBnDDs1z21MIgmEswZ/c1MNLUwQ1NgliooV1jWJAq7pIhnJ1XY5m5q\nYBBNJFico7+J6gauMHgQxc6CMoATR3ceZPh9MBUwiCYSzNDtIJpfXNS6nNHffB8IwwcZ8VgTPbUw\niCYSLM7MA5FzIsP3gTgGP4uEY0301MIgmkiwuM5yDiLW44rHPRCPezC1MIgmEswJovmhSS2MwYN4\n3APxnHIO7sGUwCCaSLBaLSgz0dS6DJZzCMdBH+I5Fwu5B1MCg2giweLsE03ELGgTcB5k+EAvjBFj\ni7uphEE0kWCsiSaqdalhEC2OwSyocDrLOaYUBtFEgtlfXAyiqZWxM4R4Ok8DhGOf6KmFQTSRYLqm\nQAKPUKm1sZxDPPaJFo+nAVMLg2giwWRJQmebDlmWRC+FSJhaPS6DB1EMZ2IhH+hFMTg1ckpRRS+A\niIDLP7kQ2tiHJ1ErYjmHeE6nIAZwwsRUGZLETPRUwSCaqAlM606IXgKRUCznEI/T8sSTJAmGpjAT\nPUWwnIOIiIRjn2jxVEWGqsgMogXTYwrfB1MEg2giIhIupspQZIkBnGCGxgBONENTmYmeIhhEExFR\nU6gGcAweRDI0hRMLBdM1hTXRUwSDaCIiagqGpjILKpihKeyQIpgRU1A0K6hULNFLoUkwiCYioqZg\n6MxEi2ZoKgpmGZbFAE4UZ2ohs9FNj0E0ERE1BbucgwGcOLqmoFyxUCpXRC+lZbFTzdTBIJqIiJqC\noakM4ARjACeewUz0lMEgmoiImoIdPOQZwAljsFe0cHqs2u6RHTqan/BhK5Zl4Z3vfCcOPvhgAMDC\nhQvxpS99SeyiiIgocvVZ0HbOHxKi1q+bAZwoOqd3ThnCg+iNGzfiiCOOwE9+8hPRSyEiIoGcAK7A\n4EEUe/Q3s6DisJxj6hBezvHiiy9ix44dOO+883D++efj9ddfF70kIiISgPW44tVGf/NBRhSOX586\nIs1E33LLLbjxxhv3+LUrr7wSF1xwAc444ww888wzuOyyy3DrrbdGuSwiImoCDKLF4x6Ixz2YOiIN\nopcuXYqlS5fu8Wujo6NQlOq/MMcddxx27NgR5ZKIiKhJ1OpxmQUVRWcAJ5xTzsE9aHrCa6KvvfZa\ndHZ24u///u+xdu1azJw5c8Lf39WVgKoqvn9uX1+b79f4f+3daWxU5R7H8d90uthpq1Cmq1xaS6ml\nxekAGpYo10JdEFxAIUXFLQoibhGNAb2m8V5vkSgRlBgM7iQoGpZgEBUVEMWFRDAaRcu91doWWmiB\n7sv03BdNj0C8yJS2z2n7/bwhto089Dtn5j9nnjmDM0MD82jgDHRoF++NkiSFRYT1+O+EBu0SvO2/\nh9DwUCO/EzpI8VUNkiR3uJsGDmd8iJ4zZ44eeeQRbd++XaGhoSosLDzlz1dX15/x3xkXF6PKypoz\n/v+g82hgHg2cgQ5/aG5sPwNdebiuR38nNPhDc2OzJOlwdc82kOjQoam+vUFVdQMNHOBUTyqMD9Fn\nn322Vq5caXoZAADDOq4MwXYOc9jOYR6XuOs9jF+dAwAAiTdUOQHXiTYvgj3RvQZDNADAETwR7QNc\nSwsf+20KZ0HNs59Mcp1oxzO+nQMAAElKjPVo+oQ0+dO9ppfSb/FqgHkdH73OmWjnY4gGADiCy+XS\n1PGpppfRr0WylcC4sNAQuVycie4N2M4BAAAkSaHuEIW4XJyJNsjlcumscLcam2jgdAzRAABA0nED\nHEO0URFhbjW1sC/d6RiiAQCALSLczRsLDTsrPJQtNb0AQzQAALBxJtq8iHA3e6J7AYZoAABgOys8\nVE0McEadFeZWc0ub2tos00vBKXB1DgAAYBs2+BxJDG8m2R+40hJQZASjmlNRBgAA2PInDZNlMUSb\ndPz1uhminYvtHAAA4AQul8v0Evq1s447Ew3nYogGAABwkIi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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1383,7 +1201,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": { "collapsed": false }, @@ -1391,18 +1209,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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OZJoxMOq6TliJsMghmk7GsBk21letcoiD6hhR4XbZOdXbxMxKhi53PwBvLU0c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\nJdY6qJ4d+scAAAAASUVORK5CYII=\n", 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rqUh9T+dGrigbZAlYCBMRERFlScf4FQBAvcWrbJAsaKxKfU9XpgcVTpI+FsJEREREWTIQ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\nERHxSf8fRRQGPWD2kL8AAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1422,7 +1240,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "metadata": { "collapsed": false }, @@ -1442,43 +1260,43 @@ " \n", " \n", " count\n", - " 21.000000\n", - " 21.000000\n", + " 28.000000\n", + " 28.000000\n", " \n", " \n", " mean\n", - " 73.288164\n", - " 75.326466\n", + " 75.091621\n", + " 76.800348\n", " \n", " \n", " std\n", - " 34.600637\n", - " 34.514244\n", + " 70.858104\n", + " 68.894969\n", " \n", " \n", " min\n", - " 37.854913\n", - " 39.675335\n", + " -0.020000\n", + " 3.039811\n", " \n", " \n", " 25%\n", - " 49.122919\n", - " 51.197450\n", + " 11.279867\n", + " 13.678009\n", " \n", " \n", " 50%\n", - " 55.280175\n", - " 57.380519\n", + " 33.143798\n", + " 35.729454\n", " \n", " \n", " 75%\n", - " 98.743770\n", - " 101.371158\n", + " 151.742703\n", + " 151.311054\n", " \n", " \n", " max\n", - " 157.927375\n", - " 158.220773\n", + " 162.762826\n", + " 162.061960\n", " \n", " \n", "\n", @@ -1486,17 +1304,17 @@ ], "text/plain": [ " sapm sd\n", - "count 21.000000 21.000000\n", - "mean 73.288164 75.326466\n", - "std 34.600637 34.514244\n", - "min 37.854913 39.675335\n", - "25% 49.122919 51.197450\n", - "50% 55.280175 57.380519\n", - "75% 98.743770 101.371158\n", - "max 157.927375 158.220773" + "count 28.000000 28.000000\n", + "mean 75.091621 76.800348\n", + "std 70.858104 68.894969\n", + "min -0.020000 3.039811\n", + "25% 11.279867 13.678009\n", + "50% 33.143798 35.729454\n", + "75% 151.742703 151.311054\n", + "max 162.762826 162.061960" ] }, - "execution_count": 32, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -1507,7 +1325,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "metadata": { "collapsed": false }, @@ -1515,12 +1333,12 @@ { "data": { "text/plain": [ - "sapm 1539.051434\n", - "sd 1581.855796\n", + "sapm 2102.565387\n", + "sd 2150.409753\n", "dtype: float64" ] }, - "execution_count": 33, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1531,7 +1349,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "metadata": { "collapsed": false }, @@ -1539,18 +1357,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 34, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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UAmg8hFoAAMJUY6AdMFDtrvx/MuKY6APsRKgFACAMBFo0hqDdBbgYn0IAAEIg0ALOR6cW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\n", 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Aot6RI4f0yeY1inFJjT/brRMfbfQ/R6AFnIGfUABAVDt+/Jg2fPSGrrn+XLX+/msCLSzl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\n9JOGDBmi9PR03XLLLXxmNCGOSoSdO3fW5s2bJUl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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1582,7 +1400,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "metadata": { "collapsed": true }, @@ -1623,7 +1441,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "metadata": { "collapsed": false }, @@ -1631,19 +1449,19 @@ { "data": { "text/plain": [ - "(,\n", - " )" + "(,\n", + " )" ] }, - "execution_count": 36, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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hq6++WklJSW53X91ayuFw6OzZsyosLFRBQYFq1apVraIBwIoIrgDM5s/zvB49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\n", 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EVwDVxRvGpLpDRESEmjVrpptuukm7d++WJF1xxRVObWt6VrXb7Zo2bZqSkpI0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\nL0TcU4sZeQ0LC2P9+vUAlJSU0KdPHxdXJCIiIiI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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1656,7 +1474,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "metadata": { "collapsed": false }, @@ -1664,19 +1482,19 @@ { "data": { "text/plain": [ - "(,\n", - " )" + "(,\n", + " )" ] }, - "execution_count": 37, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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daFgBANWGsApUjc/uARyKswcAoFoQVgEECw0rAKDKCKtA9WAfVmucRQAAVUJYBRBsNKwA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\nZnbv3o1Op2P16tUP/R5Onz5NXFwcKSkp5Obmsn/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TXfSXvxJWAQsz9ds5aNAgRf7qTysXXXSRHnjgAb388stKTk7W3Llz5XQ6lZCQ4H1NXFyc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\ndMmIjo42Ro8erXuGF/CqKQHVeXyr1G6HDx/m6tW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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1689,7 +1507,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 39, "metadata": { "collapsed": false }, @@ -1697,19 +1515,19 @@ { "data": { "text/plain": [ - "(,\n", - " )" + "(,\n", + " )" ] }, - "execution_count": 38, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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AQlNiYqJWr16t3r17Kzo6uvjMuT98rsoPCwtTtWrVir+PjIxUeHjFFvP/euf/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\npkIIIYQQYl6QxFQIIYQQQswLkpgKIYQQQoh5QRJ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+ic4YSsNx4Twfb96qv6zaqm9iG+uhL5ary8mjvud+vM1ow0Z1OS5wHjt0TD/J+3fQ95GW\neE3Q91FZDKwBAISNHTu/0LhX/63chq005sAnpYZSxpQC9sWdnwAAYeHs2bOa+sxbyo+upXt2LVfG\nN7t9zxFKESpC8jJ2NSKYAgDCwsmTJ3T0W5fGxP9X6cWnfdsPXdxMqYRSICQQTAEAYaFufF3dfcFB\nXaGfQunuOvV13aRJhFKEjNCc+VN9+E0FAIQ8w+vV8Zz/oyt0yrdtX70mumb6NEIpEELomAIAQlpp\n65TWzeilq7l8jxDk9HVM+Y0FAISsskIpE52A0ETHFAAQkgilCEdexpgCABBaCKVAeKJjCgAIKYRS\nhDM6pgAAhAhCKRDe6JgCAEICoRRO4DVcVpdgKX6TAQC2RygFnIGOKQDA1gilcBIPY0wBALAnQing\nLHRMAQC2RCiFEzErHwAAmyGUAs5ExxQAYCuEUjiZ1+oCLMZvOADANgilgLPRMQUA2AKhFGAdU37T\nAQCWI5QCkOiYAgAsRigFfsI6pgAAWIRQCuDn6JgCACxBKAXOxzqmAACYjFAKoDR0TAEApiKUAmVz\neseUYAoAMA2hFCif04MpZwEAgCkIpQD8oWMKAAg6QikQGA8L7AMAEDyEUgCBomMKAAgaQilQMYwx\nBQAgCAilACqKjikAoNoRSoHKoWMKAEA1IpQCqCw6pgCAakMoBarGa3UBFuMsAQCoFoRSAFVFxxQA\nUGWEUqB6sI4pAABVQCgFUF3omAIAKo1QClQvZuUDAFAJhFIA1Y2OKQCgwgilQHDQMQUAoAIIpQCC\nhY4pACBghFIguOiYAgAQAEIpgGCjYwoA8ItQCpjD4/COKcEUAFAuQingHEuWLNHixYslScXFxdq9\ne7fWr1+vuLg4U/ZPMAUAlIlQCpjLa/Gdn4YMGaIhQ4ZIkiZPnqybbrrJtFAqMcYUAFAGQingXNu2\nbdOXX36pm266ydT90jEFAJyHUApYwy6z8p9//nk98MADpu+XswsA4ByEUsDZTp8+rX379qlz586m\n75uOKQDAh1AKWMtjdQGSPvnkE3Xt2tWSfXOWAQBIIpQC+MG+ffvUtGlTS/ZNxxQAQCgFbMIOY0xH\njx5t2b452wCAwxFKAdgFHVMAcDBCKWAvVq9jajXOOgDgUIRSAHZDxxQAHIhQCtiTHcaYWomzDwA4\nDKEUgF3RMQUAByGUAvbmoWMKAHACQikAu6NjCgAOQCgFQgNjTAEAYY1QCiBU0DEFgDBGKAVCCx1T\nAEBYIpQCCDV0TAEgDBFKgdDEnZ8AAGGFUAogVNExBYAwQigFQpvH6gIsxlkKAMIEoRRAqKNjCgBh\ngFAKhAdm5QMAQhqhFEC4oGMKACGMUAqEF6d3TMsNpiUlJfrXv/6llStXav/+/XK5XEpOTtZVV12l\na665RtHR0WbVCQD4BUIpgHBTZjBdvXq1nnvuOXXs2FFDhw5VkyZNFBUVpUOHDmnDhg3KycnRvffe\nq6uuusrMegEAIpQC4crp65iWGUz37dun11577byuaIsWLdS7d2+VlJRo3rx5QS8QAHAuQimAcFXm\nGSw+Pl4nTpwo8401atTQHXfcEZSiAAClI5QC4c1rwsPOyuyYrl27VrNmzVJcXJx69uyp7t27q0uX\nLqpVq5aZ9QEA/odQCiDclRlMn376aUnSwYMHtWnTJi1btkwzZsxQ/fr11aNHD911112mFQkATkco\nBZyBWfl+JCUlKT4+XnXq1FG9evW0evVq/ec//yGYAoBJCKWAcxhMfirdZ599prVr12rt2rX67rvv\n1LVrV/Xo0UOjR49WQkKCmTUCgGMRSgE4SZnBNDMzUz179tTEiRN1+eWXm1kTAECEUsCJuJRfhuee\ne05r165VVlaWEhIS1LNnT/Xo0UPt2rUzsz4AcCRCKQAnKjOY9unTR3369JH0wwSodevW6YUXXtCX\nX36pVq1a6ZlnnjGtSABwEkIp4Fx2X84p2Pye4YqLi3XkyBGdOHFCxcXFio6Olsvl7IG5ABAshFIA\nTlZmx3TKlCn6/PPPdfDgQXXo0EFdu3bVH/7wB1166aVm1gcAjkEoBcAY0zI0aNBAEydOVNu2bRUV\n5XdVKQBAFRBKAaCcS/kFBQVq3rx5maH0xIkTmjZtWtAKAwCnIJQC+JHXcAX9YWdltkIHDRqk++67\nT4mJiUpLS9OFF16oiIgIHTlyRBs2bFBubq7GjRtnZq0AEHYIpQDwkzKDadu2bZWTk6OPP/5YK1eu\n1OrVq+VyudS0aVPdfPPN6tatm5l1AkDYIZQC+CWnz8r3O3i0W7duhFAAqGaEUgA4H7OaAMBkhFIA\nZXH6rHzOgABgIkIpAJTN71lw5syZZtQBAGGPUArAH68R/Ied+T0Trly5Ul6v04fiAkDVEEoBwD+/\nY0wTEhI0aNAgtWnTRrVq1fJtnzp1alALA4BwQSgFECi7rzMabH6D6ZAhQyRJLtcP/6EMw/D9GQBQ\nPkIpAATObzAdOnSoDh48qK+++krp6ek6evSokpKSzKgNAEIaoRRARTl98KTfM+O///1v3XvvvZoy\nZYpOnTql4cOHa+nSpWbUBgAhi1AKABXn9+z4wgsv6I033lBcXJwaNGigxYsXa+7cuWbUBgAhiVAK\noLKYle/vBRERiouL8/3cqFEjRUZGBrUoAAhVhFIAqDy/Y0xTU1OVk5Mjt9utXbt26fXXX1erVq3M\nqA0AQgqhFEBVOX1Wvt8zZXZ2tnJzc1WzZk2NGzdOcXFxys7ONqM2AAgZhFIAqDq/HdPXX39dQ4YM\n0R//+Ecz6gGAkEMoBVBd7DAG9Pnnn9eqVatUUlKizMxMDRs2zLR9+w2mXq9Xjz76qPLy8pSenq4+\nffqoc+fOiory+1YACHulhdK85hfqsyZexa5Yomv7DWXtZwAhY8OGDfr88881f/58nTlzRv/85z8D\net/GjRvLPdelpaUF9DkuwzACyuYFBQV655139Nxzz6mwsFCffvppQDsIlry8fEv3D/tJTKzDcYHz\nBPO4KC2UHm/ZWHEPDpIiXDp9/LSM/THq2aVPUPaPyuN8gdIkJtaxugSN+PDDoO/jtV69ynzu6aef\nlsvl0pdffqmCggL96U9/0mWXXeb3M0eOHClJOnnypA4cOKAOHTooMjJSn3/+uVq2bKn58+cHVJvf\ntue7776rTZs26ZNPPlFkZKQGDRqkLl26BPThABCuSgulZ9u21dlft5IifugaxDeI14FdeVaVCAAV\n9t133+no0aN6/vnndfDgQY0ZM0bvv/++3/fl5ORIkn77299q9uzZSk5OliQdPnxYkyZNCnj/foPp\n1KlT5fV6ddttt+nqq6/WJZdcEvCHA0A4KmtMaa3rB2vb5sVKaJggSco7fFyJCY2tKhNACLJ6jGm9\nevWUkpKiqKgoNW/eXDVr1tR3332n+vXrB/T+w4cP+0KpJDVp0kSHDx8OeP9+g+lHH32kvXv3asOG\nDZo1a5b279+vlJQUPfXUUwHvBADChb+JTu2bdNHWVZ8qItKlhBoN1Tm9m4XVAkDFdOrUSa+++qru\nuOMO5ebmqqioSPXq1Qv4/W3bttUjjzyiQYMGyePx6F//+lfA40ulAIKp9MMEqLNnz6q4uFhFRUWq\nVatWwDsAgHBRWig90zJZhZdfqkb/m33fquVlatXS/3gsACiN1euY9u7dW5988omGDRsmr9er7Ozs\nCk3gnDJlinJycnxjSrt3767MzMyA3+83mKanp6tJkybq1auXHnjgAbVt2zbgDweAcFFaKE3o01rt\n7+2n/fvztHHTanW+srd1BQJANXn44Ycr/d4aNWqof//+uuSSS5Senq6jR49WaCUnvwvsvfXWW/rH\nP/6hVq1a6ejRozp27FiliwWAUFRaKC1u00TJ9/aTK8KlZs0bqriESU4Aqs5rwiOY/v3vf+vee+/V\nlClTdOrUKQ0fPlxLly4N+P1+g+mOHTs0ePBgLV68WEuWLNF1112nlStXVqloAAgVpYXS+PReOn5l\nilwRP13ecpfYYFVsALDYCy+8oDfeeENxcXFq0KCBFi9erLlz5wb8fr+91ZkzZ+r1119XUlKSJOng\nwYO677771Ldv38pXDQAhoLyJTt9s26CVy7ar8UXx2r3juDpdcZ2FlQIIF1bPyq+qiIgIxcXF+X5u\n1KiRIiMjA36/32B69uxZXyiVpKSkJAW4Jj8AhCx/s++vaN9NhYWX6+TJk+rbq5Gio6MtrBYA7CE1\nNVU5OTlyu93atWuXXn/9dbVq1Srg9/u9lN+4cWO98sorKigoUEFBgV555RVddNFFVSoaAOzMXyj9\nUWxsnC666GJCKYBqYxiuoD+CadKkScrNzVXNmjU1btw4xcXFKTs7O+D3++2YTpkyRY8//rjmzJkj\nwzDUpUsXTZ48uUpFA4BdBRpKAQDni42N1ZgxY3TttdeqZcuWKioqUmxsbMDv9xtML7jgAs2YMUN7\n9uxRVFSUWrZsqQhOzgDCEKEUgNVCfYzpxx9/rEmTJsnj8Wj+/Pm6/vrrNX36dKWnpwf0fr9n2nXr\n1qlPnz6aNGmSsrKy1K9fP23durXKhQOAnRBKAaDqnnrqKc2bN0/x8fFq2LChcnJyNG3atIDf77dj\n+sQTT+jFF1/0DVzdtm2bsrOztXjx4spXDQA2QigFYBfBXmc02Lxerxo2bOj7OTU1tUJ3jvIbTGvW\nrHnObKrLL7+8giUCgH0RSgGg+jRu3Ni33v3p06c1b948NWnSJOD3+w2m7dq10/jx4/XrX/9aERER\nevfdd9WkSRN98sknkqS0tLRKlg4A1iKUArCbUB9j+thjj2nKlCk6evSo+vXrp65du1Zo0rzL8LMo\n6ciRI8v9gJycnIB3Vp3y8vIt2S/sKzGxDscFzlPWcUEodTbOFyhNYmIdq0vQdcs+Cvo+3rk6sIlI\nleV2uys9ad5vx9Sq4AkAwUIoBWBX3iCvMxps69at0yOPPKKGDRvK6/Xq9OnTeuaZZ9SuXbuA3u83\nmAJAOCGUAkDwVHXSPMEUgGMQSgHYXajPyq/qpHmCKQBHIJQCQPBVddJ8mcG0vElPLpdLr776aiVL\nBgBzEUoBhIpQn5W/d+9eSdKMGTPO2f63v/1Nkv+5S2UG0/vvv/+cn10ul36cwF+RhVK3bNmiGTNm\nKCcnR/v371dWVpYiIiKUmpqq7OxsuVwuLVy4UAsWLFBUVJTGjBmj3r17B/z5AFAew+MhlAKASX4Z\nPPPz81WnTuCrHZR5Vu7SpYvvERkZqb179+qKK65QRESEOnfuHNCHv/DCC5owYYLcbrckaerUqRo7\ndqzmzZsnwzC0YsUK5eXlKScnR/Pnz9dLL72kp556SiUlJQH/BQCgLIbXqy///g9CKYCQ4TVcQX8E\n08qVKzV9+nQVFBRo0KBB6tevn1577bWA3+/3zPzKK69o1qxZeuWVV3TmzBlNnDhRL774YkAfnpyc\nrNmzZ/s6rTt37vSNLcjIyND69eu1bds2dezYUdHR0YqLi1NycrL27NkT8F8AAErz4+X7vFWrfdsI\npQDszmsE/xFMs2fP1tChQ/Xee++pXbt2WrlyZYVuY+/37LxkyRK99NJLql27turVq6c333xTixYt\nCujD+/fvr8jISN/PP1/LPzY2Vvn5+SooKDinxRsbG6uCgoKA/wIA8EuMKQUA66SkpGj16tXq06eP\nYmNjfVfOA+F3Vn5kZKRq1Kjh+7lWrVqKiqrcZP6fr/xfUFCg+Ph4xcXFqbCw0Le9sLBQ8fHxfj/L\nDndngP1wXMDweM67fN+ofz+ljLmbUIpzcL6AHYX65KcLLrhAkydP1rZt2zRt2jQ9+eSTatKkScDv\n95sw09LS9OSTT+rMmTNavny5FixYoC5dulSq2NatW2vjxo3q3Lmz1qxZo27duqldu3aaOXOmSkpK\nVFxcrL179yo1NdXvZ3ErOfwStxhEaZ3SRv37KX5Ypo4dLyznnXAazhcoDf9Yqbqnn35ay5Yt06hR\noxQbG6ukpKTzJtSXx28w/dOf/qSFCxeqVatWWrp0qXr16qXhw4dXqMgfZ/FnZWVp4sSJcrvdSklJ\n0cCBA+VyuXTbbbcpMzNTXq9XY8eOPadDCwCBKOvyfcqYuwmlAEKGEeId07i4OA0ZMsT386233lqh\n97sMo/SC3UFaAAAgAElEQVT/BEeOHPH9+ZcvcblcFWrLBgP/0sUv0QFxrvLGlDZsVJfjAufhfIHS\n2KFj2vvf6/y/qIpWX9Mj6PuorDI7piNGjJAklZSU6NixY0pKSlJkZKQOHDigpKQkffDBB6YVCQBl\nYaITgHAS6h3TqiozmK5cuVKS9Pvf/1633nqrrrzySknS1q1bA14uCgCCiVAKAPawZMkS382YSrsp\n0+DBgwP6HL9jTL/66itfKJV+uAfq119/XZmaAaDaEEoBhKNQ7Zhu2LBBLpdLBw4c0P79+9WrVy9F\nRkZq7dq1atGiRfUF0wsvvFCzZs3Sr371K3k8Hr399ttq3rx5lf8CAFBZhFIAsJcnn3xSkjRy5Ei9\n/fbbql+/viTp1KlTuvfeewP+HL9n8OnTp+vUqVMaO3asHn74YXk8Hk2dOrWSZQNA1RBKAYQzwzCC\n/gimb7/9VnXr1vX9XLt2bR07dizg9/vtmCYkJOi+++7Tli1b5PF41KFDB8XFxVWuWgCoAkIpANhb\n7969dccdd2jAgAHyeDx6//33NWjQoIDf7/dM/tFHH2nw4MFavHixli5dquuuu843MQoAzEIoBeAE\nhhH8RzBlZWUpMzNTX3/9tQ4cOKDRo0froYceCvj9fjumM2fO1Ouvv66kpCRJ0sGDB3Xfffepb9++\nla8aACqAUAoAocHlcumSSy5RgwYNfMMGPvnkE6WlpQX0fr/B9OzZs75QKklJSUlBH58AAD8ilAJw\nEsNrdQVV89hjj2nVqlXnZEdJysnJCej9foNp48aN9corr2jYsGGSpDfffFMXXXRRJUoFgIohlAJA\naFm3bp3ef/991apVq1Lv93tmnzJlij7//HP169dPV111lT777DNNnjy5UjsDgEARSgE4UaiPMU1K\nSpLXW/m2r9+O6QUXXKBZs2ZVegcAUFGEUgAITfHx8brmmmvUoUMH1axZ07c90KVG/QbT9957T3Pn\nztWpU6d821wul1asWFGJcgGgfIRSAE7mDfFpPOnp6UpPTz9n24+3JQ2E32D617/+VdOnT1fjxo0r\nXh0AVAChFABCU15enhITE9WlSxe5XK5zJspXazBt2rSpOnXqpAi+FAAEEaEUAII/BjRYxo8fr7lz\n52rkyJHnPVeRK+1+g+no0aM1cuRIde7cWZGRkb7t999/fwXKBYCyEUoBILRNmjRJkqp8Eya/wfTp\np59WmzZtzgmlAFBdCKUA8JNQ7ZjecsstiomJUY8ePdSjRw916dKlUrew9xtMPR5PwDOpAKAiCKUA\nEB4++ugj7d+/X5s2bdLy5cs1Y8YMJSQkqEePHurZs6euuOKKgD7HbzDt3bu3cnJylJGRoejoaN/2\nJk2aVL56AI5HKAWA84Vqx1SSkpOTlZycrBtvvFGnT5/W8uXL9fLLL2vOnDnavn17QJ/hN5i+++67\nkqSXX375nO1VHUMAwLkIpQAQXtxutz799FOtXbtWa9euVVFRkbp3764HH3xQXbp0Cfhz/AZTAiiA\n6kQoBYCyGSG6kGnnzp3VoUMHDRgwQLNnz9bFF19cqc/hWwCAaQilABCehg8fruPHj2vRokVavHix\nPv3000rdmtRvxxQAqgOhFAD8C9Uxpo888ogkKTc3V2vXrtW8efP0yCOP6NJLL1WPHj2UmZkZ0OcQ\nTAEEHaEUAJyhUaNGuu6669SsWTO1atVKb731lrZs2VJ9wXTv3r164403dObMGRmGIY/Ho8OHD2ve\nvHlVLh5A+COUAkDg7NAxHTJkiG8N0qSkJD3xxBN+37N8+XJ99tln+uyzz3Tw4EG1b99e3bp10zPP\nPKPU1NSA9+03mP7+979Xv3799Omnn2rIkCH68MMP1aJFi4B3AMC5CKUAEFqKi4slSTk5ORV637x5\n89StWzeNGzdObdu2rfSNmfwGU8Mw9Lvf/U5ut1tt2rTR8OHDdfPNN1dqZwCcg1AKABVn9aT83bt3\nq6ioSKNHj9bZs2c1duxYtW/f3u/7frmsaGX5Daa1a9dWSUmJmjVrph07dujKK69USUlJtewcQHgi\nlAJAaKpdu7ZGjx6tm266Sfv27dNvf/tbffDBB4ow6dztN5hef/31uvvuu/XUU0/p17/+tdasWaNG\njRqZURuAEEQoBYDKs3qMabNmzZScnOz7c0JCgvLy8kzLfn6D6YgRIzR48GDFxcUpJydH27dvV48e\nPcyoDUCIIZQCQGhbtGiRvvjiC2VnZys3N1cFBQVKTEw0bf9lBtP58+dr+PDhmj179nnP7dmzR/ff\nf39QCwMQWgilAFB1VndMhw0bpqysLGVmZsrlcmnq1KmmXcaXApz85HK5ZPzsv5TL5QpqUQBCC6EU\nAMJDdHS0nnrqKcv2X2YwHT58uCTpgQceMK0YAKGHUAoA1cfqjqnVygymrVq1OveFUVGKiIhQSUmJ\n4uLitGnTpqAXB8DeCKUAgOpUZjDdvXu3JGnSpEnq1KmTrrvuOrlcLv3nP//RmjVrTCsQgD0RSgGg\n+hleqyuwlt9vj61bt+qGG25QRESEXC6XBgwYoG3btplRGwCbIpQCAILB7zdI7dq19eabb+rMmTMq\nKCjQvHnzVK9ePTNqA2BDhFIACB7DMIL+sDO/3yLTp0/XsmXL1KNHD2VkZOjjjz/WtGnTzKgNgM0Q\nSgEAweR3uaiLL75Yzz//vBm1ALAxQikABJ/NG5pB5zeYrlmzRs8884xOnTrla/+6XC6tWLEi6MUB\nsAdCKQDADH6D6V/+8hf9+c9/VosWLVhYH3AgQikAmIeOqR/169dXnz59zKgFgM0QSgEAZvIbTDt1\n6qSpU6cqPT1dNWvW9G1PS0sLamEArEUoBQDzeemYlm/r1q2SpJ07d56zPScnJzgVAbAcoRQAYAW/\nwZQACjgLoRQArMMYUz82bdqkF198UUVFRfJ6vfJ6vTp69KhWrlxpRn0ATEQoBQBYye83zfjx49Wv\nXz95PB6NGDFCycnJuuqqq8yoDYCJCKUAYD3DG/yHnfntmNaqVUvDhg3T4cOHFR8fr7/85S8aOnSo\nGbUBMAmhFADswemX8v1+49SqVUsnT55U8+bNtWXLFrlcLhUVFZlRGwATEEoBAHbh91vn9ttv10MP\nPaS+fftqyZIluuaaa3TZZZeZURuAICOUAoC9GEbwH3bm91L+oEGDNGDAAEVERGjJkiXat2+fWrVq\nZUZtAIKIUAoAsJtyg+nKlSvVokULNW3aVMuWLdObb76pNm3aqGXLlorgiwsIWYRSALAnw+4tzSAr\n8xvopZde0uzZs1VcXKzdu3frj3/8o/r166fCwkL99a9/NbNGANWIUAoAsKsyO6ZLly7VggULFBMT\noxkzZuiqq67STTfdJMMwNGjQIDNrBFBNCKUAYG8Ob5iW3TGNiIhQTEyMJGnDhg3q2bOnJMnlcplT\nGYBqRSgFANhdmR3TyMhInTp1SkVFRdq1a5cvmB4+fFjR0dGmFQig6gilABAanN4xLTOY3nXXXRoy\nZIjcbreGDRumhg0b6t1339XTTz+t+++/38waAVQBoRQAECrKDKYDBw5Uhw4ddOLECd/yULGxsZoy\nZYq6dOliWoEAKo9QCgChxWvzW4YGW7nLRTVq1EiNGjXy/dyrV6+gFwSgehBKAQChxu8C+wBCD6EU\nAEKUw8eY8g0FhBlCKQAgVNExBcIIoRQAQpzX2S1TvqmAMEEoBQCEOjqmQBgglAJAmHD4QqZ8YwEh\njlAKAAgXdEyBEEYoBYDw4mKMKYBQRCgFAIQbOqZACCKUAkCYcnbDlI4pEGoIpQCAcEXHFAghhFIA\nCHOMMQUQCgilAIBwR8cUCAGEUgBwCDqmAOyMUAoAcAo6poCNEUoBwGG48xMAOyKUAgCcho4pYEOE\nUgBwKK/VBViLbzjAZgilAACnomMK2AihFACczcUYUwB2QCgFADgdHVPABgilAABJrGNqdQGA0xFK\nAQB2c/z4cfXq1Uv//e9/Td0vHVPAQoRSAMA5bNAxdbvdmjRpkmrXrm36vvnmAyxCKAUA2NG0adN0\nyy23KDEx0fR98+0HWIBQCgAolWEE/1GOxYsXq379+urZs+f/yjG3g8s3IGAyQikAwK4WL16s9evX\na+TIkdq9e7eysrJ07Ngx0/bPGFPARIRSAEC5LL7z02uvveb788iRIzV58mRdcMEFpu2fb0LAJIRS\nAADKR8cUMAGhFAAQEBvd+SknJ8f0ffKNCAQZoRQAgMDQMQWCiFAKAKgQG6xjaiW+GYEgIZQCAFAx\ndEyBICCUAgAqw0XHFEB1IpQCAFA5dEyBakQoBQBUibMbpnRMgepCKAUAoGromALVgFAKAKgWjDEF\nUBWEUgAAqgcdU6AKCKUAgGplozs/WYFgClQSoRQAUO24lA+gogilAABUPzqmQAURSgEAQeO1ugBr\n8S0KVAChFACA4KFjCgSIUAoACDaXwyc/8W0KBIBQCgBA8NExBfwglAIATMOsfABlIZQCAGAeOqZA\nGQilAADTMcYUwC8RSgEAMB8dU+AXCKUAAMuwjimAHxFKAQCwDh1T4H8IpQAAyzErHwChFAAA69Ex\nheMRSgEAtsGsfMC5CKUAANgHHVM4FqEUAGA7jDEFnIdQCgCA/dAxheMQSgEAduVydsOUjimchVAK\nAIB90TGFYxBKAQC2xxhTIPwRSgEAsD86pgh7hFIAQMigYwqEL0IpAAChg44pwhahFAAQcpzdMKVj\nivBEKAUAIPTQMUXYIZQCAEKW4eyWKd/SCCuEUgAAQpclHdMhQ4YoLi5OkpSUlKS7775bWVlZioiI\nUGpqqrKzs+VyuawoDSHM8HgIpQCA0ObwWfmmB9Pi4mJJUk5Ojm/bPffco7FjxyotLU3Z2dlasWKF\n+vXrZ3ZpCGGG16sv//4PQikAACHM9G/s3bt3q6ioSKNHj9aoUaO0efNm7dy5U2lpaZKkjIwMrV+/\n3uyyEMJ+vHyft2q1bxuhFAAQkgwTHjZmese0du3aGj16tG666Sbt27dPv/nNb855PiYmRvn5+WaX\nhRDFmFIAAMKH6cG0WbNmSk5O9v05ISFBu3bt8j1fWFio+Ph4v5+TmFgnaDUiNBgez3mX7xv176eU\nMXcTSnEOzhcoDccFbMnhs/JND6aLFi3SF198oezsbOXm5qqwsFA9evTQxo0b1blzZ61Zs0bdunXz\n+zl5eXRVnay0Tmmj/v0UPyxTx44XWlgZ7CYxsQ7nC5yH4wKl4R8r1jM9mA4bNkxZWVnKzMyUy+XS\n1KlTlZCQoIkTJ8rtdislJUUDBw40uyyEkLIu36eMuZtQCgAIaS5m5ZsrOjpaTz311Hnbfz5LHygL\nY0oBAAhf3PkJIYNQCgAIe85umHLnJ4QGQikAAOGPjilsj1AKAHAMZuUD9kUoBQDAPB6PRxMmTNC+\nffvkcrn02GOPKTU11bT9880O2yKUAgAcx2vCoxyrVq1SRESE3njjDT300EOaOXNm9f79/KBjClsi\nlAIAYL5+/fqpT58+kqTDhw+rbt26pu6fYArbIZQCABzLBmNMIyMj9cgjj2j58uX629/+Zuq++ZaH\nrZQWSuPTM3Tksjb67PMNcrvdFlYHAIAz/PWvf9UHH3ygiRMn6vvvvzdtvwRT2EZpobROzwxtauBS\nm/YedUiL0AfLXlVJSYmFVQIAEESGEfxHOd566y3NnTtXklSrVi25XC5FmHi1kmAKWyjr8v3B1qn6\n1fVtdUFiXdVNiNONv+6kDRtXWVgpAADhq3///tq5c6dGjBih3/zmNxo/frxq1Khh2v4ZYwrLlTem\ndO+GD1WrVpxve3R0lLyGnymFAACEKouHmNauXVvPPPOMZfunYwpL+Zvo1LFDN7215HN5PB4ZhqGl\niz5Rh/bdLKwYAAAECx1TWCaQ2fe1atVSr/Sb9d47H0oylNZpsOLjEyyqGACAIPNaPyvfSgRTWKIi\nS0LFxMSqV8avzC4RAACYjGAK07FOKQAAZbDBOqZWIpjCVIRSAADK4excyuQnmIdQCgAAykPHFKYg\nlAIAEACHT34iESDoCKUAACAQdEwRVIRSAAAC53L45CeSAYKGUAoAACqCjimCglAKAEAlOLthSscU\n1Y9QCgAAKoOOKaoVoRQAgCpgVj5QPQilAACgKuiYoloQSgEAqAbObpjSMUXVEUoBAEB1oGOKKiGU\nAgBQjVjHFKgcQikAAKhOdExRKYRSAACCgFn5QMUQSgEAQDDQMUWFEEoBAAgiZzdM6ZgicIRSAAAQ\nTHRMERBCKQAAJmBWPlA+QikAADADHVOUi1AKAICJmJUPlI5QCgAAzETHFKUilAIAYAFnN0zpmOJ8\nhFIAAGAFOqY4B6EUAADruJiVD/yAUAoAAKxExxSSCKUAANiC1+oCrEXiAKEUAADYAh1ThyOUAgBg\nI4wxhVMRSgEAgJ3QMXUoQikAADZExxROQygFAAB2RMfUYQilAADYGLPy4RSEUgAAYGd0TB2CUAoA\nQAhgjCnCHaEUAACEAjqmYY5QCgBA6DAMZw8yJZmEMUIpAAAIJXRMwxShFACA0GM4fFo+CSUMEUoB\nAEAoomMaZgilAACELoNZ+QgXhFIAABDK6JiGCUIpAAChj1n5CHmEUgAAEA7omIY4QikAAGHE4R1T\ngmkII5QCAIDq5Ha7NW7cOB05ckQlJSUaM2aM+vbta9r+CaYhilAKAED4sXod03feeUf169fX9OnT\nderUKQ0ePJhgivIRSgEAQDAMHDhQAwYMkCR5vV5FRkaaun+CaYghlAIAEL6snpUfExMjSSooKNCD\nDz6o3//+96bunyQTQgilAAAg2I4ePapRo0Zp8ODBuuaaa0zdNx3TEEEoBQAg/FndMT127JjuvPNO\nZWdnq2vXrqbvn2AaAgilAAA4g9WTn+bMmaP8/Hw9++yzevbZZyVJL774omrWrGnK/gmmNkcoBQAA\nZpkwYYImTJhg2f4JpjZGKAUAwFmsvpRvNYKpTZUXSvcdPKw1H3+mCxPrqX/fdLlcLgsrBQAAqB4E\nUxsqL5Ru27lHE55bpTzPRYrwHNKW3a/pT/eNtLBaAABQXQzDsLoES3E92Gb8Xb5fuvxT5XkukiR5\nI2O1fPMJnTlTaFW5AAAA1YaOqY2UF0o37dipRVu2a0/+tzLOnpArqqkkySVDLhf/vgAAIBwwxhS2\nUF4oPXD4kKat+1QFqe2lxq0Ud+EXyv/4qGpExOhXXRqpdu3aFlYOAABQPQimNlBeKH3p1aV64+0d\nKjSiFLXzqOKu66/oS1qqx4mVGpreUT27dbawcgAAUJ2sXsfUalwDtlh5oXTJv97VP9/cqELPRYpw\nJctzoKGKPv1UrtPf6Vfp3QilAAAgrNAxtVB5ofRvr76p+bs88nTsJe9/NyvqdD1FRMar1sFduqFV\nQ/Xr1tfCygEAQDAwxhSWKC+Uns4/rbe2n5C3TopckiJbpMmzdb3q1yzWtPtG6LI2l1pXOAAAQJAQ\nTC1QVihNvPU2zfq/S7X80Enl1/hexskvFJnQUpJ0cSPpkdszCKUAAIQxOqYwVXmd0vfXrteConry\nJDWTK0kyDn8t75Fv1Ci6WI89cLPatSaUAgCA8EUwNZG/xfMPHj8pT0wT33OuRknqVfSRxtxyk1Ka\nJ1tRMgAAMJWzO6bMyjdJWaG03s236KznrCQp7dIUxX93wPd84+Nf6eHfjiKUAgAAR6BjaoKyQum8\nk24tuuF+eb2GbhjQSVl/uFdZp/P13q4vFWEYyryqoxolJlpYOQAAMBNjTBFUZYXSPc1TNefhf+p7\n9w//C15a+Kk6tl+p/v36ql9X1icFAADOw6X8ICpvTOn+g0f0fUmkb3vx2UgdOvyNFWUCAACbMAxv\n0B92RjANEn8TnXpndNclF/3UsE5uFKHe6V2tKBUAAMAWuJQfBP5CqSQlXXyxZk25TzkL/i1JGj60\nvy655BJL6gUAAPZg945msBFMq1kgofRH7dtdpvbtLjO7RAAAAFsimFaj0kJpbPceqnHt9ZLLZWFl\nAAAgFBgyrC7BUowxrSalhdIjFzXTnV94NWTaWxo/6yV5PB4LKwQAALA3gmk1KC2U6ooOmlSSohPx\nqToT30zLTl+kBf/6j3VFAgAA22NWPqqkrDGlR69IU1GNBN82V1RNnSj83ooSAQAAQgLBtArKm+h0\nZYd2aqGDvu31ig4oo0MbK8oEAAAhwukdUyY/VZK/2fexsXF6asxQvfLOarkNl37VuZMub32phRUD\nAADYG8G0EgJdEqrJhRdq3G+HW1EiAAAIQXbvaAYbl/IrqCLrlAIAACBwdEwrgFAKAACCyRAdUwSA\nUAoAABBcdEwDQCgFAABmYIwpykUoBQAAMAcd03IQSgEAgJnomKJUhFIAAABz0TEtBaEUAABYg44p\nfoZQCgAAYA06pj9DKAUAAFYyDMPqEixF2vofQikAAIC16JiKUAoAAOyBWfkORygFAACwB0d3TAml\nAADATuiYOhShFAAAwF4c2TEllAIAADs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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1729,7 +1547,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 42, "metadata": { "collapsed": true }, @@ -1774,7 +1592,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 43, "metadata": { "collapsed": false }, @@ -1782,19 +1600,19 @@ { "data": { "text/plain": [ - "(,\n", - " )" + "(,\n", + " )" ] }, - "execution_count": 40, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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jZ555pkrn8Jq4ZmZmKiUl5aKLi4mJUVZWlsaNGydJ2rlzp9q3by9JSkhI0IYN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\nA4qrIVNmT6TfAAAAAElFTkSuQmCC\n", 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+qhKonFeT1379+umHH35wbbdt21a33367WrVqpblz52rOnDlq2bKlIiIiXMeEhYWpoKDA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\nOP/5YV37W/Vm0Vbf+OqPtulYu5suPNbpVGmLRO3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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1818,7 +1636,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 44, "metadata": { "collapsed": true }, @@ -1859,7 +1677,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 45, "metadata": { "collapsed": true }, @@ -1870,7 +1688,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 46, "metadata": { "collapsed": false }, @@ -1886,7 +1704,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 47, "metadata": { "collapsed": false }, @@ -1896,7 +1714,7 @@ "output_type": "stream", "text": [ "optimized coefs:\n", - "[ 1.87434003e-01 -1.58814681e-05 1.00000000e-03 1.00000000e-03]\n", + "[ 1.79250275e-01 3.16380526e-06 1.00000000e-03 1.00000000e-03]\n", "covariances:\n", "[[ inf inf inf inf]\n", " [ inf inf inf inf]\n", @@ -1921,7 +1739,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 48, "metadata": { "collapsed": false }, @@ -1929,18 +1747,18 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 45, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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OHDigjRs36vDhw5oyZcrFjwIATIzQCsAsnnvuOf31r38ts4LAqFGj1KlTJz35\n5JNatGiR22OUG1yvuOIKZWVl6bPPPtPq1au1du1aWSwWNW7cWLfddpu6dOlSNaMAAJMitAI4VzCv\nKlBYWHjBZa9at26tkydPenQMt5NXu3TpQkgFgCpGaAVgNqWlpSoqKlJ4eHiZ14uKilRUVOTRMcpf\nKAsAYAhCK4Dy2B3GP3ylR48eeuKJJ3Tq1Cnna4WFhXryySfVtWtXj45BcAUALyK0AjCrMWPG6NSp\nU+rSpYuGDh2qIUOGqEuXLjpx4oTGjx/v0THcThWYP3++0tLSLrpYADA7QisAd4J5Hdfw8HDNmzdP\ne/bs0fbt22W1WnXFFVeoYcOGHh/DbXBdvXq1HnroIZe33wIAsyoqKtKO//xHtWNrKr5RfLnbEVoB\n4DSbzSabzVapfd0G19jYWPXp00etW7dWtWrVnK/Pnj27UicEgGCR91ue/u/Vt5QT2UTVT+1QSsIW\n/XHQzedtR2gF4ClfrrMaCNwG14EDB0qSLJbTX0iHw+H8MwCY2WsrVynnkkRZLCE6FVNXb+z5XkN+\n+Vlxcb+HUkIrAFQdt8F10KBB2rdvn3bt2qVu3brp4MGDSkhI8EZtAODXihQii+X3aVSnwmroxIkT\nzueEVgAVFczruJ6xbNkyWSwWORynJ/RaLBZVq1ZNl1566QXXeT2b24mr//rXv3T//fdr5syZysvL\n07Bhw7R8+XKPCsvJyVFKSookac+ePRo+fLhuv/12TZ8+3Vns4sWLdeutt+q2227T2rVrPTouAPiD\n5LYtVSd3lyTJUVqiTvYjavS/ea6EVgC4sNWrV+vPf/6zduzYoe3bt+vFF1/UwoULNXnyZL3++usu\n93UbXDMzM/Xmm28qKipKderU0dKlS/XKK6+4LSozM1OPPfaYiouLJZ2eEztu3DgtXLhQDodDq1at\nUm5urrKysrRo0SK99tprmjdvnscL0AKAryW2vlxzbmynO6z79MfIw5r3hxSFhIQQWgFUWjCv43pG\nbm6uli1bpsmTJ2vKlClasmSJ7Ha7Fi1apKVLl7rc1+1UgZCQEEVFRTmf169fX1ar1W1RNptNGRkZ\nmjBhgiTpu+++U8eOHSVJSUlJ2rBhg0JCQpSYmKiwsDCFhYXJZrNp586duvLKK90eHwD8QbvLW6rd\n5S2dzx0Oh354+VVCKwCU4+jRo6pRo4bzeUREhPLy8hQWFuZ2FSu3wbVFixbKyspScXGxtm/frjfe\neEOtWrX3u9maAAAgAElEQVRyW1RycrJ++ukn5/MzUwMkKTIyUsePH1d+fr6iz/oHPTIyUvn5+W6P\nDQCVYbfb9dbb7+rQkaO6pmMbdel8dZUen04rgItlhlUFkpOTNXLkSPXt21elpaX68MMP1atXLy1f\nvlxxcXEu93UbXKdNm6YXXnhBERERmjJliq655hpNnDixwkWenaDz8/MVExOjqKgoFRQUOF8vKChQ\nTEyM22OdfcWuGZhpvGYaq2Su8frDWB+e9Iyylu2VQ2F6+73tmjO9RP1vvrFKjn12p7WGrbHazHhC\nYR78exYM/OGz9SbGC1ychx9+WKtXr9ann34qq9Wqe+65R9dff72+/vprzZs3z+W+boPrG2+8oYED\nB3p8K67yXH755friiy/UqVMnZWdnq0uXLmrbtq3mz5+voqIiFRYWavfu3WrRooXbY+XmHr+oWgJJ\nXFy0acZrprFK5hqvP4y1pKREH63dJYciJUlH8yP0pxeX6bv/HFBSl/a6rPmllT72uZ3WNjOe0LFC\ni/S/MZ88eVIhISGKiIiokrH4E3/4bL2J8QYvfwno/jAH1RtiYmJ06aWX6tZbb9XWrVslSe3bt3e7\nn9vgarfbNX36dOXm5qpbt27q3r27OnXqpNBQt7tK+n3910mTJmnq1KkqLi5Ws2bN1Lt3b1ksFt15\n550aMWKE7Ha7xo0bp/DwcI+OCwAVYbVaFRFRdu7Uzv2ntGe1Q8uzV+rJMTcosX2bCh/3QtMDwmJi\npNzjcjgcWvnhG4qqc0KlpXY5TtVXz+sHVNWQACAgLViwQKtWrdKRI0fUp08fTZ06VYMHD9bdd9/t\ndl+L4+zJpy7k5+fr3Xff1YsvvqiCggJ99dVXF114ZZnlpz/JfD/tmmWskrnG6y9jXfTPd/X8K2uU\ndyJU4SFHFd7oKlmrn55P1btNgaY9fGeFjnd2aC2Krama996nhMtaOcf72Rdr1fTKfMXWOX2B697/\n5qrk18vU+vJ2VT42X/GXz9ZbGG/w8peO6x3r1hl+jn9cf73h53Clf//++uc//6mhQ4dq+fLlys/P\n15AhQ/T++++73ddt23TlypX68ssvtWnTJlmtVvXp00edO3euksIBwJuGDblZ13XpoO+/36XZCzYq\n3/r7RQBuLmQ9z9mhtbR+jKpN6KutOzeq4PtSxcVdI0k6dfI3xdb5fZ5rw4Ta+ur7Q5KCJ7gCQEVZ\nrdYyv2GvVq2ax7/Jd7vV7NmzZbfbdeedd+rGG2/UpZdWfh4YAPhafHy84uPjtf2/uXpr3a8qssQo\nIeqgbh8w0ONjnB1aT8bWUNTE/ydLdDVd3rGpvl2zVd10Org2u7SNtnz+iTpcY5MkbVz7g9pf4fl5\nAJiPGea4duzYUenp6Tpx4oQ+/vhjvfXWWx43Rd0G108++US7d+/Wxo0b9fzzz2vPnj1q1qyZ26u+\nAMCfjUkdoi6JW7XvwCFd1+VG1ald26P9ys5pbaTvujRU2+hqZd4/o3HCpTp58oTWv/+NHA6pZbOe\nqlO7bpWPBQACyYQJE7R48WK1atVKy5cv1/XXX69hw4Z5tK9HfVm73a6SkhIVFhbq5MmTqlatmvud\nAMDPJXZoq8QObT3e/kIXYn33xUf6+eBR1bkkVts3/VeXJXQss0/Ly9qo5WUVv+gLgDkF8zquBw4c\ncP45KSlJSUlJzudHjhxRw4YN3R7DbXDt1q2bGjZsqOuvv14PPPCArrjiikqWCwCBq7ybC/TtOUib\nv96k/36fq/Yteiq+UYKvSwUAv3THHXdIkoqKivTzzz8rISFBVqtVe/fuVUJCgj744AO3x3AbXN95\n5x05HA7l5OTo4MGDql+/vurW5VddAMzD3R2xEtt3dLE3AHjO7usCDLR69WpJUlpamm6//XZdffXp\nuxdu3bpVr776qkfHcHsd7bfffqsBAwZo6dKlWrZsmW6++WbniQEg2HEbVwCoWrt27XKGVklq27at\nfvjhB4/2ddtxnT9/vt544w0lJJz+9de+ffs0ZswY9ejRo5LlAkBgILQC8DYzrCpwySWX6Pnnn1ff\nvn1VWlqqFStWqGnTph7t67bjWlJS4gytkpSQkCAP71kAAAGL0AoAxpgzZ47y8vI0btw4PfLIIyot\nLdXs2bM92tdtx7VBgwZasGCBBg8eLEl6++231ahRo4urGAD8GKEVgK84gnhVgSNHjqhevXqKjY3V\n448/7nKb8rjtuM6cOVNbtmxRr1691LNnT23evFlPPvlk5asGAD9GaAUAYzz77LOaP3++/vvf/573\n3u7du/X000/rmWeecXkMtx3XunXrau7cudq5c6dCQ0N12WWXKaSi90YEgABAaAXga8E8xzU9PV1r\n1qzR1KlT9eOPP6pevXqyWq06dOiQGjdurNTUVLfXULkNrhs2bNDEiRNVr1492e12/fbbb3ruuefU\ntq3ni3YDgL8jtAKA8bp3767u3bvr2LFj2rt3r0JCQhQfH6/Y2FiP9ncbXGfNmqVXX31VrVq1kiR9\n8803mjZtmpYuXXpxlQOAn7hQaP32x+06+OtWhYaGSMW11POGgb4uE4AJBPM6rmeLjY31OKyezW1w\njYiIcIZWSbryyisrfBIA8FcXCq1Hi07peOk29ejbXJKUeyhPm77MVserk9wcDQBgJLfBtW3btnr0\n0Uc1dOhQhYSEaOXKlWrYsKE2bdokSerYkTvGAAhM5U0P2Pf1DrVoFefcLu6Smtq55WcfVgrALIJ5\njmtVcBtcd+/eLUmaO3dumdf/9Kc/SZKysrIMKAsAjOVqTqvN1kzbtuWoy/Wnnx/Y96tiYxr4slwA\nCCorVqzQ7t279Yc//EEffvihBgwY4NF+boMrwRRAsHF3IVbtWrVVL7qj1vxrs6xhFoWpnpK6dvFh\nxQDMwh7E67ieMWfOHB06dEjfffed7r77bi1ZskTbt2/X5MmT3e7LulYATMXT1QNatWyn5BtGq2fX\nUUrq2tcHlQJAcFq/fr3mzJmjiIgIRUdH6/XXX1d2drZH+7rtuAJAsGDJKwD+zgyrClit1jLPi4qK\nznutPARXAKZAaAUA/9C7d2+lpaUpLy9PCxYs0DvvvKN+/fp5tG+5wTUlJaXcnSwWi/7+979XvFIA\n8AFCK4BAYYZVBe666y59+umnatiwoQ4ePKgHH3xQ3bt392jfcoPr2LFjyzy3WCxyOBzOPwNAICC0\nAoB/GTJkiJYtW6akpIqvjV3uxVmdO3d2PqxWq3bv3q327dsrJCREnTp1uqiCAcAbCK0AAo3dYTH8\n4Wt16tTRpk2bVFRUVOF93c5xXbBggVatWqUjR46od+/emjp1qgYPHqy77767UsUCgDcQWgEEIn+Y\nKpCTk6O5c+cqKytLv/zyix577DEdP35cpaWleuaZZ5SQkFBm+4EDByoqKkqSlJCQoFmzZrk8/rZt\n286bkmqxWLR9+3a3tbkNrsuWLdM///lPDR06VLVq1dLbb7+tIUOGEFwB+C1CKwBUTmZmplasWKHI\nyEhJp9dc7d+/v3r37q2NGzfqhx9+KBNcCwsLJVVs3f/PP/+80vW5Da5Wq1Xh4eHO59WqVVNoKIsR\nAPBPhFYAgczXHVebzaaMjAxNmDBBkrRlyxa1atVKo0ePVqNGjfToo4+W2X7Hjh06efKkUlNTVVJS\nonHjxqldu3Yuz5GRkXHB18+9vupC3N6AoGPHjkpPT9eJEyf08ccf67777lPnzp3dHhgAvI3QCgAX\nJzk5ucyaqvv371fNmjX1+uuvq0GDBsrMzCyzffXq1ZWamqrXXntNTzzxhMaPHy+73fVqtGcu9pek\n4uJirV69Wr/88otH9bltnU6YMEGLFy9Wq1attHz5cl1//fUaNmyYRwcHAG8htAIIBg4/mON6ttjY\nWPXo0UOS1KNHD82fP7/M+02aNJHNZnP+OTY2Vrm5uapfv365x3zggQfKPB8zZoxGjx7tUT3lBtcD\nBw44/5yUlFRmyYIjR46oYcOGHp0AAIxGaAUAYyQmJmrt2rXq37+/vvjiC7Vo0aLM+0uWLNH333+v\nadOm6fDhw8rPz1dcXFyFzpGfn6+DBw96tG25wfWOO+6QdPo2XD///LMSEhJktVq1d+9eJSQk6IMP\nPqhQUQBgBEIrgGDiLx3XM2v2T5o0SY899pjefPNNxcTEaN68eZKkiRMnKi0tTYMHD9akSZM0YsQI\nWSwWzZ49WyEhrmeinungnpGXl6fU1FTP6nI4XH+J0tLSdPvtt+vqq6+WJG3dulWvvvqq/vSnP3l0\nAiPk5h732bm9LS4u2jTjNdNYJXON16ix+mto5bMNXow3eMXF+f7fDkm6/r0Nhp9j3f/ravg5XNm/\nf3+Zm1rFxMQo2sN/u91enLVr1y5naJWktm3b6ocffqhkqQBQNfw1tALAxXA4jH/4Wnp6uuLj4xUf\nH69GjRopOjpaI0eO9GhftxdnXXLJJXr++efVt29flZaWasWKFWratOlFFw0AlUVoBYDAM2bMGG3f\nvl1HjhwpM12gtLRUDRo08OgYboPrnDlz9Kc//Unjxo2TJF177bWaPXt2JUsGgItDaAUQzNzM4Axo\n6enpysvL04wZMzR16lTnWENDQ1W3bl2PjuE2uMbGxmrMmDHKyclRaWmpOnTo4LytFwB4E6EVAAJX\ndHS0oqOj9dJLL+m7777TiRMn5HA4VFpaqvXr12vw4MFuj+E2uH7yySeaMmWK2rVrJ4fDoccff1wz\nZ84874owADASoRWAGQRxw9VpwoQJ+vrrr3Xs2DE1a9ZMO3bsUGJiYtUE1/nz5+uNN95w3pd23759\nGjNmDMEVgNcQWgEgeHz55Zf697//rRkzZiglJUWS9OSTT3q0r9tVBUpKSpyhVZISEhKCev4FAP9C\naAVgJg678Q9fq1evnsLDw3XppZdq586datGihQoKCjza121wbdCggRYsWKD8/Hzl5+drwYIFatSo\n0UUXDQDuEFoBIPjUq1dPL7/8shITE/XWW2/pvffe04kTJzza121wnTlzprZs2aJevXqpZ8+e2rx5\ns8ftXACoLEIrADMywzqus2bNUnx8vNq2bavk5GT961//0vTp0z3a1+0c17p16+r555+/2BoBwGOE\nVgAIXg8++KD++te/SpJSUlKc81w94Ta4vv/++3rllVeUl5fnfM1isWjVqlWVKBUAXCO0AjAzux90\nRI126tQpHThwQA0bNqzwvm6D69NPP605c+Z4fEcDAKgsQisABL9ff/1VPXr0UJ06dRQRESHJ86ao\n2+DauHFjXXXVVQoJcTsdFgAqjdAKAP4xB9Vor776qqTTYbWiK1W5Da6pqalKSUlRp06dZLVana+P\nHTu2gmUCwIURWgHAPOLj47VixQrt3r1bf/jDH/Thhx9qwIABHu3rto367LPPqnHjxmVCKwBUFUIr\nAPzODKsKzJkzR+vWrdOHH36o0tJSLVmyRLNnz/ZoX7cd19LSUo8PBgAVQWgFAPNZv369li1bpkGD\nBik6Olqvv/66br75Zk2ePNntvm6D6w033KCsrCwlJSUpLCzM+XplrgQDgDMIrQBwPn/oiBrt3N/i\nFxUVefybfbfBdeXKlZKk119/vczrq1ev9rQ+ACiD0AoA5tW7d2+lpaUpLy9PCxYs0DvvvKN+/fp5\ntK/b4EpABVCVCK0AUD6HCRZyvffee5Wdna2GDRvq4MGDevDBB9W9e3eP9mWNKwBeQ2gFAEhSYWGh\nioqK5HA4FB4e7vF+bjuuVam4uFiTJk3S/v37ZbVa9dRTT8lqtWrSpEkKCQlRixYtNG3aNFksFm+W\nBcALCK0A4J4Z5rimp6fr66+/Vr9+/VRaWqrnn39e33zzjf74xz+63derwXXdunUqLS3VokWL9Omn\nn2r+/PkqKSnRuHHj1LFjR02bNk2rVq1Sr169vFkWAIMRWgEAZ6xZs0bvvfee86L/4cOHq3///lUT\nXHfv3q0333xTJ06ckMPhUGlpqfbv36+FCxdWuNCmTZuqtLRUDodDx48fV1hYmHJyctSxY0dJUlJS\nkjZs2EBwBYKIw+HQDy+/SmgFAA+YoeNap04dHT9+XLVr15Z0+jfytWrV8mhft8E1LS1NvXr10ldf\nfaWBAwdq3bp1at68eaUKrVGjhvbv36/evXvr2LFjeumll7Rp06Yy7x8/frxSxwbgf+i0AgDOFRMT\no1tuuUU9e/aU1WpVdna26tSp41zH1dX9A9wGV4fDoQcffFDFxcVq3bq1hg0bpttuu61ShS5YsEDd\nunVTWlqaDh06pDvvvFMlJSXO9wsKChQTE+P2OHFx5vrGZ6bxmmmsUnCP9+xOaw1bY7WZ8YTCPPj7\nHSyC+bM9l5nGKjFeGMsEiwooOTlZycnJzmua2rRpI4vFIofD4fY6J7fBtXr16ioqKlKTJk307bff\n6uqrr1ZRUVGlCq1Zs6ZCQ0+fMiYmRiUlJWrdurW++OILderUSdnZ2erSpYvb4+TmmqcrGxcXbZrx\nmmmsUnCP99xOa5sZT+hYoUUK0vGeK5g/23OZaawS4w1mBHTvGTRokPLz85WXl+d8zWKxeHRzK7fB\n9ZZbbtEf/vAHzZs3T0OHDlV2drbq169fqUJHjRqlKVOm6Pbbb1dxcbEefvhhXXHFFZo6daqKi4vV\nrFkz9e7du1LHBuAfLjQ9ICwmxjShFQAuhhnmuD799NNavHixatas6XzNYrFo1apVbvd1G1zvuOMO\nDRgwQFFRUcrKytK2bdvUtWvXShVao0YNPffcc+e9npWVVanjAfAvzGkFALjz8ccfKzs7W5GRkRXe\nt9zgumjRIg0bNkwZGRnnvbdz506NHTu2wicDELwIrQBw8czQcW3VqpUKCwurNriecWairOOsryQ3\nCABwNkIrAMBT/fv310033aQWLVrIarVKOp0t//73v7vdt9zgOmzYMEnSAw88UEVlAghGhFYAqDpm\n6LjOmjVLjz76qBo0aOB8zdOmaLnBtVWrVmU3DA1VSEiIioqKFBUVpS+//LKS5QIIFoRWAEBFRUdH\na8CAAZXat9zgumPHDknS448/rquuuko333yzLBaLPvzwQ2VnZ1euUgBBg9AKAFXPYfd1Bca76qqr\n9MADDygpKcm5TKrFYvEozIa422Dr1q3q37+/QkJCZLFYdNNNN+mbb765+KoBBCxCKwCgsk6cOKHI\nyEht3rxZX3zxhTZu3KiNGzd6tK9HNyB4++231bdvX9ntdr3zzjse308WQPAhtAKAcRwmmOSanp4u\nSTp27JhiY2MrtK/bjuucOXP00UcfqWvXrkpKStJnn32mZ555pnKVAghohFYAwMXavn27evfurf79\n++vw4cPq1auXtm3b5tG+bjuu8fHxevnlly+6SACBjdAKAMYzQcNVTz31lDIyMjR+/HjVr19f06dP\n1/Tp0/X222+73ddtcM3OztZzzz2nvLw8Z/va09tyAQgOhFYAQFU5deqUmjdv7nx+3XXXefzbfLfB\ndcaMGZo8ebKaN2/OjQcAEyK0AoD3mKHjGhsbq+3btzufr1ixQjVr1vRoX7fBtXbt2urevXvlqwMQ\nsAitAICqsmzZMg0cOFDTpk3TxIkTtWvXLl111VWy2WyaO3euR8dwG1yvuuoqzZ49W926dVNERITz\n9Y4dO1a+cgB+j9AKAN5nD+KO69/+9jcNHDhQNptNixYtUkFBgex2u6Ir8L3FbXDdunWrJOm7774r\n83pWVlYFywUQKAitAACjRUZGVngft8GVgAqYC6EVAHwnmOe47tq1Sz169Ljge55e+O82uH755Zd6\n9dVXdfLkSdntdtntdh08eFCrV6+ueMUA/BqhFQBgFJvNpldeeeWibrLgNrg++uijuueee7R8+XKl\npKRo3bp1at26daVPCMA/EVoBwPccdl9XYJywsDA1atTooo7hNrhWq1ZNgwcP1v79+xUTE6MZM2Zo\n0KBBF3VSAP6F0AoA/iGYpwokJiZe9DHc3vK1WrVqOnbsmJo2baqcnBxZLBadPHnyok8MwD8QWgEA\n3vD4449f9DHcBtdRo0bp//7v/9SjRw8tW7ZM/fr1U5s2bS76xAB8j9AKAP7F4TD+EcjcThXo06eP\nbrrpJoWEhGjZsmX68ccf1apVK2/UBsBAhFYAQKBxGVxXr16t5s2bq3Hjxvroo4/09ttvq3Xr1rrs\nsssUEuK2WQvATxFaAcA/XcwV92ZQbvp87bXXlJGRocLCQu3YsUPjx49Xr169VFBQoKefftqbNQKo\nQoRWAIArOTk5SklJkXT6BlRJSUlKSUlRSkqKVq5cWWZbu92uxx9/XMOGDVNKSor27t1raG3ldlyX\nL1+ut956SzVq1NDcuXPVs2dPDRkyRA6HQ3369DG0KADGILQCgH/zdcM1MzNTK1ascN7V6ttvv9Xo\n0aM1evToC27/8ccfq7i4WIsWLVJOTo7S09P1wgsvGFZfuR3XkJAQ1ahRQ5K0ceNGXXfddZJO39kA\nQOAhtAIA3LHZbMrIyHBOWdi2bZvWrl2rO+64Q48++qgKCgrKbL9582Z169ZNktSuXTtt27bN0PrK\nDa5Wq1V5eXk6dOiQtm/f7gyu+/fvV1hYmKFFAahahFYACAy+XlUgOTlZVqvV+bxdu3aaOHGi/vGP\nfyghIUEZGRllts/Pz1dUVJTzudVqld1u3F0Uyg2u9957rwYOHKghQ4Zo8ODBqlevnlauXKmRI0cq\nNTXVsIIAVC1CKwCgsm688UbnHVN79eql7du3l3k/KiqqTBfWbrcbegF/uXNce/furQ4dOujo0aPO\n5a8iIyM1c+ZMde7c2bCCAFQdQisABBYDm5WVkpqaqscee0xt27bVZ599dt5a/omJiVqzZo369Omj\nr7/+Wi1btjS0HpfLYdWvX1/169d3Pr/++usNLQZA1SG0AgAq68w1TdOnT9dTTz2l0NBQ1atXT08+\n+aQkaeLEiUpLS9ONN96oDRs2aNiwYZKk2bNnG1uXIwAXDMvNPe7rErwmLi7aNOM101glY8frb6GV\nzzZ4mWmsEuMNZnFx/vGDfePn1xl+jr0PBW4jkrsIAEHG30IrAABVxe0tXwEEDkIrAAQ4e8D9Ityr\n6LgCQYLQCgAIdnRcgSBAaAWAIBF4lx55FR1XIMARWgEAZkHHFQhghFYACC4W5ri6RMcVCFCEVgCA\n2dBxBQIQoRUAghQNV5fouAIBhtAKADArOq5AACG0AkCQY46rS3RcgQBBaAUAmB0dVyAAEFoBwCTo\nuLpExxXwc4RWAABOo+MK+DFCKwCYDHfOcomOK+CnCK0AAJRFxxXwQ4RWADApu68L8G90XAE/c3Zo\nPRETrc+ubqnsbV/6uiwAAHyO4Ar4kbND6/GoGtrz0ABVu7aZ9kbna83na31dHgDAYBaHw/BHICO4\nAn7i7NBqvaSBNvftKHtUdUlSTIM6OvDbER9XCACAbxFcAT9w7pzWRg+P14nCEuf79lK7rCUWH1YI\nAPAKu8P4RwDj4izAx8q7EKtz/JXauH6rQiLDFXqsRKP6jfB1qQAA+JTXg+vLL7+sNWvWqKioSCNG\njFDHjh01adIkhYSEqEWLFpo2bZosFjpLMAdXqwdc0+EadWrXSUVFRapWrZqPKwUAeEWAd0SN5tWp\nAhs3btSWLVu0aNEi/eMf/9ChQ4eUnp6ucePGaeHChXI4HFq1apU3SwJ8xpMlr0JCQgitAAD8j1eD\n64YNG9SyZUvdf//9+uMf/6gbbrhB3377rTp27ChJSkpK0qeffurNkgCfcDgc+uHlV1mnFQBQlsNh\n/COAeXWqwK+//qqDBw/q5Zdf1r59+/THP/5RjrO+gDVq1NDx48e9WRLgddxcAACAyvFqcK1Vq5aa\nNWum0NBQNW3aVBERETpy5PclfgoKChQTE+P2OHFx5vomb6bxBvtYz+601rA1VpsZTyjMg//ng0Gw\nf7bnMtN4zTRWifHCYNw5yyWvBterrrpKf//73zV69GgdPnxYp06d0jXXXKMvvvhCnTp1UnZ2trp0\n6eL2OLm55unKxsVFm2a8wT7WczutbWY8oWOFFimIx3xGsH+25zLTeM00VonxBjMCemDwanC94YYb\ntGnTJg0ePFh2u13Tpk1To0aNNHXqVBUXF6tZs2bq3bu3N0sCvOJC0wPCYmJMEVoBABUQ4HNQjeb1\n5bAeeeSR817LysrydhmA1zCnFQCAqsENCAADEVoBABXCOq4ucctXwCCEVgAAqhYdV8AAhFYAQGVY\n6Li6RMcVqGKEVgAAjEHHFahChFYAwEWh4eoSHVegihBaAQAwFh1XoAoQWgEAVYI5ri7RcQUu0oVC\nqyUyUnl5x2S3c+8+AACqCh1X4CJcKLTu+/WINm34SLH1q+nY4VPqePmNamJr5utSAQCBgDtnuURw\nBSqpvOkBWz77p67te7lzuy/+vY7gCgDwDFMFXGKqAFAJrua0hkZYymx77nMAAFA5dFyBCnJ7Idap\n6jp54pSq16imkydOSaeq+a5YAEBg4dIIlwiuQAV4snpA315DtOqTf6lERxXqqKa+vYb6qFoAAIIL\nwRXwkKdLXlmtViXfcIsPKgQABDoLF2e5xBxXwAOs0woAgO/RcQXcILQCALyGVQVcouMKuEBoBQDA\nf9BxBcpBaAUAeB1zXF2i4wpcAKEVAAD/Q8cVOAehFQDgM6zj6hIdV+AshFYAAPwXHVfgfwitAACf\n84NVBXJycjR37lxlZWVp165dmjp1qiSpSZMmmjFjhqxWa5ntBw4cqKioKElSQkKCZs2aZVhtBFeY\n3idfbtHSzTvVbc93anN4L6EVAGBamZmZWrFihSIjIyVJ8+fP18MPP6yrr75akydP1po1a9SrVy/n\n9oWFhZKkrKwsr9THVAGY2s7dP+jJDbvU7Kf9anN4r/ZXi1bp8DsIrQAA33A4jH+4YLPZlJGRIcf/\ntvvzn/+sq6++WkVFRcrNzVX0Od8fd+zYoZMnTyo1NVUjR45UTk6OYV8aiY4rgtSmL7/ST/sPqvv1\nXa2CX0wAAB2dSURBVBUbW6vc7T7ftl39f9mr5APfaG9kHT3VboBSd/5HOXu3q8RSKlvdBHXu0NmL\nlQMA4DvJycn66aefnM9DQkK0f/9+3XXXXYqOjlbLli3LbF+9enWlpqZqyJAh+vHHH3XPPffogw8+\nUEiIMb1RgiuCzrznX9bLb36uU0VW1aqepYb1mqlVi3qa/uho1axZ07mdw+FQ2907FPm/0Dqj3UCV\nFP6mH/Z+q44jrlWN0FDt3nNAxZs+0XUdu/lwRAAA0/CDOa7natSokT744AP985//VHp6utLT053v\nNWnSRDabzfnn2NhY5ebmqn79+obUwlQBBJXffvtNC5d/rlPFYZIlREdP1dT+w8f0+daamp+x2Lnd\nmQuxIr/7Rr9ERGhRQpxq7V2lEXVOqmGbS2QNPf0zXW1bfe07esBXwwEAwKfuu+8+7dmzR5IUGRl5\nXid1yZIlziB7+PBh5efnKy4uzrB66LgiqJSUlKik5NyfVh2yWCz69WjR6WdnrR5wPCpK2aNuVdPo\nKNlKSmTZ9oNKThT/vqfDIZ13PAAAjGHxk285FotFknTvvfdq0qRJCgsLU40aNTRjxgxJ0sSJE5WW\nlqbBgwdr0qRJGjFihCwWi2bPnm3YNAGJ4IogU6tWLfW9oZXeXPkfOWRVhOWEqlW/Ug57kZo3jT1v\nyauPWzdVSfTpJTxCQkN1NERKqtdK327aqWq1I3Xyv0c19IbBPh4VAADeEx8fr0WLFkmSOnTooDff\nfPO8bZ5++mnnn+fNm+e12giuCCoWi0Wznpigqzq8q5/2H9ZP+4+pxB6t5k2idN+9Q89fp/WD5So5\na//qpXZ169hNHfI7KC/vmOq3vUShofw1AQB4iR/OcfUnfEdG0AkJCdGQQf3LvFbezQWGd+2pv2d/\noONWKaZUGn5DH0lSVFSUczFlAADgHwiuCHqu7ojVqEFDTb5ttI8rBADgf+i4usSqAghq3MYVAIDg\nQccVQYvQCgAIODRcXaLjiqBEaAUAIPjQcUXQIbQCAAKWg5arK3RcEVQIrQAABC86rggahFYAQMBj\nVQGX6LgiKBBaAQAIfnRcEfAIrQCAoEHD1SU6rghohFYAAMyDjisCFqEVABB0WFXAJTquCEiEVgAA\nzIeOK/5/e3ceHHV9/3H8tSGBkoQgadcLJDIUAeVokSDhVMuR0pTLKxAiCNNyDBXlGMKZ8ENIxEpn\nBDoIrWW6ovzayhUGBAExSCpYKNFwyK8cQUSucG0ikIX9/P6g2SEQlit7fff5mMkMu/tl+bx3k8zL\nl5/9fkMOoRUAYFU2zirgFY0rQgqhFQCA8EXjipBBaAUAWB6Fq1c0rggJhFYAAEDjiqBHaAUAhA3O\nKuAVjSuCGqEVAACUo3FF0CK0AgDCjjvQCwhuNK4ISoRWAABwPRpXBB1CKwAgbLHH1auANK7FxcXq\n3LmzDh48qKKiIvXr109paWnKysqS4Q0La4RWAABwM34Pri6XS1OnTlXNmjVljFF2drZGjx6txYsX\nyxijDRs2+HtJCBLXhtbLP/6x1jzRQo68z+RyuQK9NAAA/MMY33+FML8H11mzZqlfv36y2+2SpN27\ndysxMVGS1KlTJ+Xn5/t7SQgCxhgdePdPOvfpRpXFx+v3T7bXxkebKPe+B/XGBx8EenkAACAI+DW4\nLl26VPHx8erQoYOkq2Hl2q0B0dHRcjqd/lwSgkB503pszceqXreePv55opyP/lSSFBFVXd9E/kg/\n/FAa4FUCAOAHxg9fIcyvH85aunSpbDab8vPztXfvXmVkZOjMmTOex0tLSxUXF3fL57Hbw2vPo5Xn\nvbZpjU6or2ZvTNOqj1bIGCObzSZJqnmlTA89FK+oqCjPfVZh5ff2euE0qxRe84bTrBLzAoHk1+D6\n/vvve/6cnp6uadOmadasWdq2bZvatGmjvLw8JSUl3fJ5Tp4Mn1bWbq9l2Xmv/yBWszem6ewlm154\nqr325K7Sd/aHVfP8WTW+eEbr1y/RlStuRUT8RG3adA700quEld/b64XTrFJ4zRtOs0rMa2VBE9Dd\nIV6J+lhAT4dls9mUkZGhKVOmyOVyqWHDhkpOTg7kkuAnlZ09ICouTjrp1AN2u/4wIE1Fh4t05Nv9\neuaZ5rLb60iSdu7cp6Kig0pIaBDgCQAAgL8FLLg6HI5K/wzrKS4+pS+2btfqf36jM5ciVb9OpEY+\nVE0/fL650lNeud1u/Wv753K5LsrluugJrZLUuHF9bdhwhOAKALCmEP/Uv69xAQL41IZP/6nZf8zT\n6XMxuqJi6aEH1eHc9/ph/8FKQ6sxRqvWvKcuv6qrmNgfaeU/9ikvr7o6dXpSkrR5c6EaNWoXqHEA\nAPAtcqtXBFf41Pv/m68zJQ/IVk2KVIzSyrarS1SJTkZFq20lFxfYv3+fWrWNU624mpKkXi+01Ifv\n7dbZs0aXL7tVr97jio//cSBGAQAAAUZwhU+Vucr/09Eovfb/6RcxJTpsi9OORs3V/javiGW//yEl\nJf3ad4sEACBY8OEsrwJyyVeEj6TWDyvCVno1tMYe1VF3pL58rJleHZFe6fENGz6mHV+cl/P8BRlj\n9PHKvfpZ845+XjUAAAhGNK7wqRFDU9W6OFvxh46qrHYddcz6Hz3tpWm12WxK+eVgffHPTXK5Luip\nVqmqXbvOTY8HAMBKbHw4yyuCK3zGGKOTH76v+EP/p+p166lhJXtaKxMREaF2Sc/6YYUAACCUEFzh\nE5Wdp/V2QisAAGGNwtUr9riiyhFaAQCAL9C4okoRWgEAuAecVcArGldUGUIrAADwJRpXVAlCKwAA\nVYDC1SsaV9wzQisAAPAHGlfcE0IrAABViPO4ekXjirtGaAUAAP5E44q7QmgFAMAHOKuAVzSuuGOE\nVgAAEAg0rrgjhFYAAHyIwtUrGlfcNkIrAAAIJBpX3BZCKwAAfsBZBbyiccUtEVoBAAgfBQUFSk9P\nlyTt2bNHaWlpSk9P15AhQ1RcXFzhWLfbralTpyo1NVXp6ek6fPiwT9dGcIVXhFYAAPzIbXz/5cXC\nhQs1efJkuVwuSdLMmTM1ZcoUORwOdevWTQsXLqxw/Pr16+VyubRkyRKNHTtWOTk5PntpJIIrvCC0\nAgAQXhISEjR37lyZ/25ZmD17tpo0aSJJunz5smrUqFHh+B07dqhjx46SpJYtW6qwsNCn6yO4olKE\nVgAAAsD44cuLbt26qVq1ap7bdrtd0tWAunjxYg0aNKjC8SUlJYqNjfXcrlatmtxu9x2Pfbv4cBZu\nQGgFAADlVq9erfnz52vBggWqU6dOhcdiY2NVWlrque12uxUR4btelMYVFRBaAQAIHJsxPv+6EytW\nrNDixYvlcDhUr169Gx5v1aqV8vLyJEk7d+5U48aNq+R1uBmCKzwIrQAAQJJsNpvcbrdmzpypH374\nQSNHjlR6errmzp0rSRo/fryOHTumrl27qnr16kpNTVVOTo4mTJjg03WxVQCSCK0AAAQF320PvW31\n6tXTkiVLJElbt26t9Jg333zT8+dp06b5ZV0SjStEaAUAAKGBxjXMEVoBAAgiXDnLKxrXMEZoBQAA\noYTGNUwRWgEACEI0rl7RuIYhQisAAAhFNK5hhtAKAEAQC4KzCgQzGtcwQmgFAAChjMY1TBBaAQAI\nAexx9YrGNQwQWgEAgBXQuFocoRUAgNBhDJtcvaFxtTBCKwAAsBIaV4sitAIAEHoMpxXwisbVggit\nAADAimhcLYbQCgBA6DKcVcArGlcLIbQCAAAro3G1CEIrAAChj7MKeEfjagGEVgAAEA5oXEMcoRUA\nAAuhcfWKxjWEEVoBAEA4oXENUYRWAACsh/O4ekfjGoIIrQAAIBzRuIYYQisAANbFWQW8o3ENIYRW\nAAAQzmhcQwShFQAA66Nx9c6vwdXlcmnixIk6evSoysrKNHz4cDVs2FAZGRmKiIhQo0aNlJmZKZvN\n5s9lBT1CKwAA4YEPZ3nn1+Cam5ur+Ph4vfXWWzp37px69eqlpk2bavTo0UpMTFRmZqY2bNigLl26\n+HNZQY3QCgAAcJVfg2tycrK6d+8uSXK73YqMjNTu3buVmJgoSerUqZO2bNlCcP0vY4wOvPsnQisA\nAGGCrQLe+fXDWdHR0YqJiVFJSYlGjRql1157TW63u8LjTqfTn0sKWuVN67E1HxNaAQAAFIAPZ33/\n/fcaOXKk0tLSlJKSorfeesvzWGlpqeLi4m75HHa7tQPctU1rdEJ9NXtjmqJu43WxAqu/t9cLp3nD\naVYpvOYNp1kl5oVvGWMCvYSg5tfgeurUKQ0ePFiZmZlq27atJKlp06batm2b2rRpo7y8PCUlJd3y\neU6etG4re/2e1mZvTNPZSzbJwjOXs9trWfq9vV44zRtOs0rhNW84zSoxr5UR0EODX4Pr/Pnz5XQ6\nNW/ePM2bN0+SNGnSJM2YMUMul0sNGzZUcnKyP5cUVCr7IFZUXFxYhFYAAMAe11vxa3CdPHmyJk+e\nfMP9DofDn8sISpw9AAAAwDsuQBAECK0AAEDiPK63wiVfA4zQCgAAcHtoXAOI0AoAAK7FHlfvaFwD\nhNAKAABwZ2hcA4DQCgAAKkPj6h2Nq58RWgEAAO4OjasfEVoBAIB3NK7e0Lj6CaEVAADg3tC4+gGh\nFQAA3A72uHpH4+pjhFYAAICqQePqQ4RWAABwJ2hcvaNx9RFCKwAAQNWicfUBQisAALgbNK7e0bhW\nMUIrAACAb9C4ViFCKwAAuBdGJtBLCGo0rlWE0AoAAOBbNK5VgNAKAACqAntcvaNxvUeEVgAAAP+g\ncb0HhFYAAFCVgqFxLSgo0O9//3s5HA4VFRUpIyNDERERatSokTIzM2Wz2Soc36dPH8XGxkqSHnnk\nEc2cOdNnayO43iVCKwAAsJqFCxdq5cqViomJkSRlZ2dr9OjRSkxMVGZmpjZs2KAuXbp4jr906ZIk\nyeFw+GV9bBW4C4RWAADgC8a4ff7lTUJCgubOnStjrp7dYPfu3UpMTJQkderUSfn5+RWO37t3ry5c\nuKAhQ4Zo4MCBKigo8M0L8180rneI0AoAAKyqW7duOnLkiOd2eYCVpOjoaDmdzgrH16xZU0OGDNEL\nL7ygQ4cO6Te/+Y3Wrl2riAjfdKME1ztAaAUAAL5kFPg9rte6NoCWlpYqLi6uwuOPPvqoEhISPH++\n7777dPLkST3wwAO+WY9PntWCCK0AACDcNG3aVNu2bZMk5eXlqXXr1hUe/+ijj5STkyNJOn78uEpK\nSmS32322HoLrbSC0AgAAfwj0Htdy5WcOyMjI0Jw5c5SamqorV64oOTlZkjR+/HgdO3ZMzz//vM6f\nP6/+/ftr9OjRys7O9tk2AUmymWs3L4SIkyedtz6oigQ6tNrttfw6byCF06xSeM0bTrNK4TVvOM0q\nMa+V2e3BUUjVbvhbn/8b5/Yv8Pm/4SvscfUi0KEVAACEl2A4j2swY6vATRBaAQAAgguNayUIrQAA\nIDBoXL2hcb0OoRUAACA40bheg9AKAAACKQQ/M+9XNK7/RWgFAAAIbjSuIrQCAIDgwFkFvAv7xpXQ\nCgAAEBrCunEltAIAgGBC4+pd2DauhFYAAIDQEpaNK6EVAAAEI8N5XL0Ku8aV0AoAABCawqpxJbQC\nAIBgxh5X78ImuBJaAQBAsLtw+MNALyGohcVWAUIrAABA6LN8cCW0AgAAWIOlgyuhFQAAwDosG1wJ\nrQAAANZiyeBKaAUAALAeywVXQisAAIA1WSq4EloBAACsyzLBldAKAABgbZYIroRWAAAA6wv54Epo\nBQAACA8hHVwJrQAAAOEjZIMroRUAACC8RAZ6AZLkdruVlZWlffv2KSoqSjNmzFD9+vVvejyhFQAA\nIPwEReO6fv16uVwuLVmyRGPHjlVOTs5NjyW0AgAAhKegCK47duxQx44dJUktW7ZUYWHhTY898O6f\nCK0AAABhKCiCa0lJiWJjYz23q1WrJrfbXemxx9Z8TGgFAAAIQ0GxxzU2NlalpaWe2263WxERlWfq\n9is+8teygobdHj4BPZxmlcJr3nCaVQqvecNpVol5gUAKisa1VatWysvLkyTt3LlTjRs3DvCKAAAA\nEGxsxhgT6EUYY5SVlaVvvvlGkpSdna0GDRoEeFUAAAAIJkERXAEAAIBbCYqtAgAAAMCtEFwBAAAQ\nEgiuAAAACAkhE1zdbremTp2q1NRUpaen6/Dhw4FeUpVzuVwaN26c0tLS9MILL2jjxo0qKipSv379\nlJaWpqysLFltS3JxcbE6d+6sgwcPWn7Wd999V6mpqerbt6/+8Y9/WHZel8ulMWPGKDU1VWlpaTpw\n4IAlZy0oKFB6erok3XS+v/3tb3ruuef00ksvadOmTQFc7b27dt49e/YoLS1N6enpGjJkiIqLiyVZ\nZ95rZy2Xm5ur1NRUz22rzCpVnLe4uFjDhw/XgAED1K9fP3377beSrDPv9d/HL774ovr376+JEyda\n8ufWkkyIWLt2rcnIyDDGGLNz504zfPjwAK+o6n300Udm5syZxhhjzp49azp37myGDRtmtm3bZowx\nZurUqeaTTz4J5BKrVFlZmRkxYoTp3r272b9/vxk6dKhlZ/3iiy/M0KFDjTHGlJaWmjlz5lj2vf3k\nk0/MqFGjjDHGbNmyxYwcOdJysy5YsMCkpKSYl156yRhjKv3ePXHihElJSTFlZWXG6XSalJQUc+nS\npUAu+65dP++AAQPMnj17jDHGLFmyxGRnZ5uTJ09aYt7rZzXGmF27dpmBAwd67rPyezt+/HizZs0a\nY8zV31ubNm2yzLzXzzpixAjz2WefGWOMGTNmjNm4caNlZrWykGlc7+SysKEqOTlZr776qqSrDXNk\nZKR2796txMRESVKnTp2Un58fyCVWqVmzZqlfv36y2+2SZOlZt2zZosaNG2vEiBEaNmyYnn76ae3a\ntcuS8zZo0EBXrlyRMUZOp1NRUVGWmzUhIUFz5871NDSVfe9+/fXXatWqlaKiohQbG6uEhATPKf9C\nzfXzzp49W02aNJEkXb58WTVq1NBXX31liXmvn/XMmTP6wx/+UKGRs8qs0o3z/vvf/9axY8f0yiuv\nKDc3V23atLHMvNfP+vjjj+vs2bMyxqi0tFRRUVGWmdXKQia43sllYUNVdHS0YmJiVFJSolGjRum1\n116rMGN0dLScTmcAV1h1li5dqvj4eHXo0EHS1XP5mmv+97GVZpWk06dPq7CwUO+8846mTZumMWPG\nWHbe6Ohofffdd0pOTtbUqVOVnp5uuVm7deumatWqeW5fO19MTIycTqdKSkpU65rLUpf/bIei6+ct\n/4/NHTt2aPHixRo0aJBl5r12VrfbrUmTJikjI0PR0dGeY6wyq3Tje/vdd9+pdu3a+stf/qKHHnpI\nCxcuVGlpqSXmvX7WhIQEzZgxQz169NDp06fVpk0bS723VhUywfVOLgsbyr7//nsNHDhQvXv3VkpK\nSoUZS0tLFRcXF8DVVZ2lS5cqPz9f6enp2rt3rzIyMnTmzBnP41aaVZLq1KmjDh06KDIyUg0aNFCN\nGjUq/DK00ryLFi1Sx44dtXbtWq1YsULjx4/X5cuXPY9badZy1/6clpSUKC4u7obfWVabe/Xq1crK\nytKCBQtUp04dS85bWFiow4cPKysrS2PGjNF//vMfZWdnq1atWpabtdx9992nZ599VpL07LPPqrCw\n0JLvrSTNmDFDH3zwgdasWaOePXsqJyfH0u+tVYRM8guHy8KeOnVKgwcP1rhx49S3b19JUtOmTbVt\n2zZJUl5enlq3bh3IJVaZ999/Xw6HQw6HQ02aNNGbb76pDh06WHJWSXryySe1efNmSdLx48d18eJF\ntW3b1pLz1q5dWzExMZKkuLg4Xb58WY8//rglZy1X2c9pixYt9K9//UtlZWVyOp3av3+/GjVqFOCV\nVo0VK1Zo8eLFcjgcqlevniRZct4WLVpo1apVcjgcmj17tn76059qwoQJat68ueVmLdeqVSvPB5K2\nbdumRo0aWfK9la6G9PLfVffff7/Onz9v2VmtJDLQC7hdXbt21ZYtWzyf6szOzg7wiqre/Pnz5XQ6\nNW/ePM2bN0+SNGnSJM2YMUMul0sNGzZUcnJygFfpGzabTRkZGZoyZYolZ3366af15Zdf6vnnn5fb\n7VZmZqbq1q1ryXkHDRqkiRMnKi0tzXOGgSeeeMKSs9psNkmq9HvXZrPp5ZdfVv/+/eV2uzV69GhV\nr149wCu+NzabTW63WzNnztTDDz+skSNHSpKeeuopjRw50lLzlr+35YwxnvvsdrulZpUqfi9PnjxZ\nH374oeLi4vT222+rVq1alpq3fNY33nhDr7/+uiIjI1W9enVNnz5dP/nJTyw1qxVxyVcAAACEhJDZ\nKgAAAIDwRnAFAABASCC4AgAAICQQXAEAABASCK4AAAAICQRXAAAAhASCKwC/OXLkiJo1a6bevXur\nT58+SklJ0eDBg3X8+HH9/e9/15AhQ274OxMmTJDD4dCyZcs0YcKECo9t3bpV6enpkqSysjJNmzZN\nv/71r9WzZ08NGDBAX3/9dYXj9+3bpyZNmmjdunU3XeOxY8c0YcIE5ebmasSIETf83dzcXM99b7/9\ntubMmaP169dr8eLFd/WaAABuH8EVgF/df//9Wr58uZYtW6ZVq1apWbNmmj59unr06KGCggKdPn3a\nc+yFCxe0adMm9ezZU7c65fSiRYtkjFFubq5Wrlyp0aNHa/jw4bpy5YrnmKVLl6p79+5asmTJTZ9n\n5syZ+u1vf6u2bdtq586dnvs///xztW/fXp9//rnnvu3bt6tDhw7q0qWL1q1bV2HtAICqR3AFEFBP\nPvmkDh06pJiYGHXt2lWrV6/2PLZ+/XolJSWpdu3at3ye4uJiuVwuuVwuSVcvXZmTk+MJrpcvX1Zu\nbq5ef/117d69W99+++0Nz1FUVKQTJ06oQYMGstvtqlOnjoqKiiRJW7Zs0ahRozyXdr106ZIOHTqk\nli1bSpK6detG6woAPkZwBRAwLpdLa9asUatWrSRJffv21apVqzyPL1++XM8999xtPdfLL7+sgoIC\nJSUlacSIEXI4HPrZz37muVzjpk2bVLduXT366KPq0qVLpa3rp59+qtatW3tuJyUlafv27bp48aKO\nHDmiFi1aqF69etq7d68KCgr085//XBERV3+Ntm7dWhs3brzr1wIAcGsEVwB+deLECfXu3Vu9e/dW\nr169ZLPZNHbsWElXw9+ZM2d05MgRnTx5UkVFRWrfvr0keQLitYwxnvvr1q2rVatW6b333lPLli21\nfPly9erVS06nU9LVbQI9evSQJP3yl7/UsmXLPO1sucOHD+uBBx7w3G7btq127NihL7/8UomJiZKk\ndu3aaevWrdq+fbtnbZL08MMP69ChQ1X0KgEAKhMZ6AUACC/le1wrY7PZ1Lt3b61atUo1atRQr169\nPI/Vrl1b58+fr3D86dOnPdsIZs+erbS0NLVo0UItWrTQ0KFD1a9fP+Xn56t169bKy8vTrl279Ne/\n/lWSdP78ea1bt06/+tWvPM8XERGhatWqeW63adNG77zzjmJjYz0htX379lq0aJHOnTunzMxMz7GR\nkZGVhmsAQNXhtyyAoNKnTx+tW7dOa9euVd++fT33t2zZUl999ZVnb2pZWZmWL1+udu3aSbra5P7x\nj3/0tKhnz57V6dOn9dhjj2nlypVq166dPvvsM23cuFEbN27UsGHDbtgu8Mgjj+jo0aOe23FxcapR\no4Y2b97s+XeaN2+uAwcO6NSpU6pfv77n2CNHjighIcE3LwoAQBLBFYCf2Ww2r48/+OCDio+PV0xM\njOrWreu5Pz4+XtOnT9eoUaM8Ww2eeOIJvfjii5KkKVOmyBij7t27KyUlRa+88orGjRunBg0aaOnS\nperfv3+Ff6d///4qLCzUwYMHPfc988wzng9flXvqqacUHR3taXZtNpsSEhI8H8oqt3XrVv3iF7+4\n8xcEAHDbbOZW55gBgDDyu9/9Tq+++qoaNWp0R3+vf//+mjt3ruLj4320MgAAjSsAXGPChAn685//\nfEd/Z+3atUpOTia0AoCP0bgCAAAgJNC4AgAAICQQXAEAABASCK4AAAAICQRXAAAAhASCKwAAAEIC\nwRUAAAAh4f8BqlA2fYPU7UEAAAAASUVORK5CYII=\n", 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m9U/spGvjryW4wu3sVK+GCK8AAEiqV7eeRg4Y5nhPcAW8E+EVAIArEFzhKRSvxgivAICA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\njz7S4MGDtWbNGr399tu6444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CAOA7aF4R0AiuAACvwpxXQzSvCFgEVwAAfA/NKwISwRUA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\n1+vV5MmTFR8f7/cabYbVkyuu0rFjHTPHguAaOuL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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1958,15 +1776,6 @@ "ax.set_xlim(None, maxmax)\n", "ax.plot(np.arange(maxmax), np.arange(maxmax), 'r')" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 0a7d5be991..a813934d4f 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -5,7 +5,6 @@ from netCDF4 import num2date import pandas as pd -import pytz import numpy as np from pvlib import * @@ -23,38 +22,43 @@ class ForecastModel(object): Parameters ---------- + access_url: string + URL specifying the dataset from data will be retrieved. + base_tds_url : string + The top level server address + catalog_url : string + The url path of the catalog to parse. + columns: list + List of headers used to create the data DataFrame. + data_format: string + Format of the forecast data being requested from UNIDATA. model_type: string UNIDATA category in which the model is located. model_name: string Name of the UNIDATA forecast model. + set_type: string + Model dataset type. Attributes ---------- - access_url: string - URL specifying the dataset from data will be retrieved. - access_url_key: string - Key spcificying the type of data to be returned with the query. - base_tds_url : string - The top level server address - catalog_url : string - The url path of the catalog to parse. data: pd.DataFrame Data returned from the query. - data_labels: dictionary - Dictionary that translates model specific variables to - common named variables. - dataformat: string - Format of the forecast data being requested from UNIDATA. dataset: Dataset Object containing information used to access forecast data. + dataframe_variables: list + Model variables that are present in the data. datasets_list: list List of all available datasets. fm_models: Dataset Object containing all available foreast models. fm_models_list: list List of all available forecast models from UNIDATA. - latlon: list - The extent of the areal coverage of the dataset. + latitude: list + A list of floats containing latitude values. + location: Location + A pvlib Location object containing geographic quantities. + longitude: list + A list of floats containing longitude values. lbox: boolean Indicates the use of a location bounding box. ncss: NCSS object @@ -65,22 +69,33 @@ class ForecastModel(object): dataset's name. model_url: string The url path of the dataset to parse. + modelvariables: list + Common variable names that correspond to queryvariables. query: NCSS query object NCSS object used to complete the forecast data retrival. - set_type: string - Model dataset type. + queryvariables: list + Variables that are used to query the THREDDS Data Server. + rad_type: dictionary + Dictionary labeling the method used for calculating radiation values. time: datetime Time range specified for the NCSS query. + utctime: DatetimeIndex + Time range in UTC. var_stdnames: dictionary Dictionary containing the standard names of the variables in the query, where the keys are the common names. var_units: dictionary Dictionary containing the unites of the variables in the query, where the keys are the common names. - variables: list - Model specific variable names. + variables: dictionary + Dictionary that translates model specific variables to + common named variables. vert_level: float or integer Vertical altitude for query data. + wind_type: string + Quantity that was used to calculate wind_speed. + zenith: numpy.array + Solar zenith angles for the given time range. ''' access_url_key = 'NetcdfSubset' @@ -137,11 +152,10 @@ def set_query_latlon(self): if self.longitude is list: # west, east, south, north self.query.lonlat_box(self.latitude[0], self.latitude[1], - self.longitude[0], self.longitude[1]) - + self.longitude[0], self.longitude[1]) self.lbox = True else: - self.query.lonlat_point(self.longitude, self.latitude) + self.query.lonlat_point(self.longitude[0], self.latitude[0]) self.lbox = False def set_query_time(self): @@ -151,14 +165,14 @@ def set_query_time(self): as: single or range ''' - if len(self.time) == 1: - self.query.time(pd.to_datetime(self.time)[0]) + if len(self.utctime) == 1: + self.query.time(pd.to_datetime(self.utctime)[0]) else: - self.query.time_range(pd.to_datetime(self.time)[0], - pd.to_datetime(self.time)[-1]) + self.query.time_range(pd.to_datetime(self.utctime)[0], + pd.to_datetime(self.utctime)[-1]) - def get_query_data(self, latitude, longitude, time, vert_level=None, - variables=None): + def get_query_data(self, latitude, longitude, time, location, + vert_level=None, variables=None): ''' Submits a query to the UNIDATA servers using siphon NCSS and converts the netcdf data to a pandas DataFrame. @@ -170,6 +184,7 @@ def get_query_data(self, latitude, longitude, time, vert_level=None, Variables and common names being queried. latlon: list Latitude and longitude of query location. + location: time: pd.datetimeindex Time range of interest. vert_level: float or integer @@ -192,31 +207,28 @@ def get_query_data(self, latitude, longitude, time, vert_level=None, self.latitude = latitude self.longitude = longitude self.set_query_latlon() - self.time = time + + self.location = location + self.utctime = tools.localize_to_utc(time, location) self.set_query_time() - # print(pd.to_datetime(self.time)[0], pd.to_datetime(self.time)[-1]) + self.query.vertical_level(self.vert_level) self.query.variables(*self.queryvariables) self.query.accept(self.data_format) netcdf_data = self.ncss.get_data(self.query) - # print(netcdf_data.variables['Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average'][:]) - - # self.netTime = num2date(netcdf_data.variables['time'][:].squeeze(), - # netcdf_data.variables['time'].units) - - self.set_time(netcdf_data.variables['time'], self.time.tzinfo) - + self.set_time(netcdf_data.variables['time']) self.data = self.netcdf2pandas(netcdf_data) - self.time = self.time + self.set_variable_units(netcdf_data) self.set_variable_stdnames(netcdf_data) - self.convert_temperature(netcdf_data) - + self.convert_temperature() self.calc_wind(netcdf_data) self.calc_radiation(netcdf_data) - netcdf_data.close() + self.data = self.data.tz_convert(location.tz) + + netcdf_data.close() return self.data @@ -240,38 +252,28 @@ def netcdf2pandas(self, data): data_dict = {} for var in self.dataframe_variables: data_dict[var] = pd.Series( - data[self.variables[var]][:].squeeze(), index=self.time) - df = pd.DataFrame(data_dict, columns=self.columns, index=self.time) - return df + data[self.variables[var]][:].squeeze(), index=self.utctime) + return pd.DataFrame(data_dict, columns=self.columns) else: - return pd.DataFrame(columns=self.columns, index=self.time) + return pd.DataFrame(columns=self.columns, index=self.utctime) - def set_time(self, times, tzinfo): + def set_time(self, time): ''' Converts time data into a pandas date object. Parameters ---------- - times: netcdf + time: netcdf Contains time information. - tzinfo: tzinfo - Timezone information. Returns ------- pandas.DatetimeIndex ''' - self.time = pd.DatetimeIndex(pd.Series(num2date(times[:].squeeze(), - times.units))) - # print(type(tzinfo)) - # self.time = tzinfo.localize(self.time) - # self.time = self.time.astimezone(pytz.timezone(tzinfo)) - - self.time = self.time.tz_localize(tzinfo) # correct, but doesn't plot well - - # self.time = self.time.tz_localize('UTC') - # self.time = self.time.tz_convert(tzinfo) - # self.time = self.time.tz_localize(None) # shows correct time but no timezone + times = num2date(time[:].squeeze(), time.units) + self.time = pd.DatetimeIndex(pd.Series(times), tz='UTC') + self.time = self.time.tz_convert(self.location.tz) + self.utctime = tools.localize_to_utc(self.time, self.location.tz) def set_variable_units(self, data): ''' @@ -306,25 +308,29 @@ def set_variable_stdnames(self, data): self.var_stdnames[var] = var def calc_radiation(self, data, cloud_type='total_clouds', rad_funcs=None, - args=None, keys=None): + args=None, rad=None): ''' Determines shortwave radiation values if they are missing from the model data. Parameters ---------- - zenith: pd.daraSeries - Solar zenith angle. - + args: list + Arguments to be along to the radiation functions. + cloud_type: string + Type of cloud cover to use for calculating radiation values. + data: netcdf + Query data formatted in netcdf format. + rad: list + List of radiation types to calculate. + rad_funcs: list + List of radiation functions used to calculate radiation. ''' self.rad_type = {} if not self.lbox and cloud_type in self.data: cloud_prct = self.data[cloud_type] - self.location = Location(self.latitude, self.longitude)#, - #tz=self.time.tzinfo) - print(self.time) solpos = solarposition.get_solarposition(self.time, self.location) - self.zenith = np.array(solpos.zenith) + self.zenith = np.array(solpos.zenith.tz_convert('UTC')) if rad_funcs is None: for rad in ['dni','dhi','ghi']: if rad in self.modelvariables: @@ -346,7 +352,7 @@ def calc_radiation(self, data, cloud_type='total_clouds', rad_funcs=None, self.data['ghi'] = \ irradiance.liujordan_ghi(self.zenith, cloud_prct) - elif rad_funcs == 'linear': + elif rad_funcs == ['linear']: cs = clearsky.ineichen(self.data.index, self.location) cs_scaled = cs.mul((100. - self.data['total_clouds']) / 100., axis=0) @@ -370,7 +376,7 @@ def calc_radiation(self, data, cloud_type='total_clouds', rad_funcs=None, for var in ['dni', 'dhi', 'ghi']: self.var_units[var] = '$W m^{-2}$' - def convert_temperature(self, data): + def convert_temperature(self): ''' Converts Kelvin to celsius. @@ -384,6 +390,10 @@ def calc_wind(self, data): ''' Calculates wind speed quantity. + Parameters + ---------- + data: netcdf + Query data in netcdf format. ''' if not self.lbox: if 'u-component_of_wind_isobaric' in self.queryvariables and \ @@ -411,8 +421,10 @@ class GFS(ForecastModel): ---------- cols: list Common names for variables. - data_labels: dictionary - Dictionary where the common variable name references the model + dataframe_variables: list + Common variables present in the final set of data. + variables: dictionary + Dictionary where common variables reference the model specific variable name. idx: list Indices of the variables corresponding to their common name. @@ -420,9 +432,15 @@ class GFS(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - variables: list + modelvariables: list + Common variable names. + queryvariables: list Names of default variables specific to the model. - + res: string + Resolution of the model. + variables: dictionary + Dictionary of common variables that reference the model + specific variables. ''' def __init__(self, res='half', set_type='best'): @@ -436,7 +454,6 @@ def __init__(self, res='half', set_type='best'): 'wind_speed_gust':'Wind_speed_gust_surface', 'wind_speed_u':'u-component_of_wind_isobaric', 'wind_speed_v':'v-component_of_wind_isobaric', - # 'pressure':'Pressure_surface', 'total_clouds': 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', 'low_clouds': @@ -455,7 +472,6 @@ def __init__(self, res='half', set_type='best'): self.modelvariables] self.dataframe_variables = [ 'temperature', - # 'pressure', 'total_clouds', 'low_clouds', 'mid_clouds', @@ -465,8 +481,6 @@ def __init__(self, res='half', set_type='best'): 'ghi', ] super(GFS, self).__init__(model_type, model, set_type) - # def map_data(self): - class HRRR_ESRL(ForecastModel): ''' @@ -480,8 +494,10 @@ class HRRR_ESRL(ForecastModel): ---------- cols: list Common names for variables. - data_labels: dictionary - Dictionary where the common variable name references the model + dataframe_variables: list + Common variables present in the final set of data. + variables: dictionary + Dictionary where common variables reference the model specific variable name. idx: list Indices of the variables corresponding to their common name. @@ -489,9 +505,13 @@ class HRRR_ESRL(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - variables: list + modelvariables: list + Common variable names. + queryvariables: list Names of default variables specific to the model. - + variables: dictionary + Dictionary of common variables that reference the model + specific variables. ''' def __init__(self, set_type='best'): @@ -504,7 +524,6 @@ def __init__(self, set_type='best'): self.variables = { 'temperature':'Temperature_surface', 'wind_speed_gust':'Wind_speed_gust_surface', - # 'pressure':'Pressure_surface', 'total_clouds':'Total_cloud_cover_entire_atmosphere', 'low_clouds':'Low_cloud_cover_UnknownLevelType-214', 'mid_clouds':'Medium_cloud_cover_UnknownLevelType-224', @@ -515,7 +534,6 @@ def __init__(self, set_type='best'): self.modelvariables] self.dataframe_variables = [ 'temperature', - # 'pressure', 'total_clouds', 'low_clouds', 'mid_clouds', @@ -536,8 +554,10 @@ class NAM(ForecastModel): ---------- cols: list Common names for variables. - data_labels: dictionary - Dictionary where the common variable name references the model + dataframe_variables: list + Common variables present in the final set of data. + variables: dictionary + Dictionary where common variables reference the model specific variable name. idx: list Indices of the variables corresponding to their common name. @@ -545,11 +565,13 @@ class NAM(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - res: string - Determines which resolution of the GFS to use, as 'Half' or 'Quarter' - variables: list + modelvariables: list + Common variable names. + queryvariables: list Names of default variables specific to the model. - + variables: dictionary + Dictionary of common variables that reference the model + specific variables. ''' def __init__(self,set_type='best'): @@ -559,7 +581,6 @@ def __init__(self,set_type='best'): self.variables = { 'temperature':'Temperature_surface', 'wind_speed_gust':'Wind_speed_gust_surface', - # 'pressure':'Pressure_surface', 'total_clouds':'Total_cloud_cover_entire_atmosphere_single_layer', 'low_clouds':'Low_cloud_cover_low_cloud', 'mid_clouds':'Medium_cloud_cover_middle_cloud', @@ -570,7 +591,6 @@ def __init__(self,set_type='best'): self.modelvariables] self.dataframe_variables = [ 'temperature', - # 'pressure', 'total_clouds', 'low_clouds', 'mid_clouds', @@ -590,8 +610,10 @@ class HRRR(ForecastModel): ---------- cols: list Common names for variables. - data_labels: dictionary - Dictionary where the common variable name references the model + dataframe_variables: list + Common variables present in the final set of data. + variables: dictionary + Dictionary where common variables reference the model specific variable name. idx: list Indices of the variables corresponding to their common name. @@ -599,9 +621,13 @@ class HRRR(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - variables: list + modelvariables: list + Common variable names. + queryvariables: list Names of default variables specific to the model. - + variables: dictionary + Dictionary of common variables that reference the model + specific variables. ''' def __init__(self, set_type='best'): @@ -611,7 +637,6 @@ def __init__(self, set_type='best'): self.variables = { 'temperature':'Temperature_height_above_ground', 'wind_speed_gust':'Wind_speed_gust_surface', - # 'pressure':'Pressure_surface', 'total_clouds':'Total_cloud_cover_entire_atmosphere', 'low_clouds':'Low_cloud_cover_low_cloud', 'mid_clouds':'Medium_cloud_cover_middle_cloud', @@ -621,7 +646,6 @@ def __init__(self, set_type='best'): self.modelvariables] self.dataframe_variables = [ 'temperature', - # 'pressure', 'total_clouds', 'low_clouds', 'mid_clouds', @@ -639,8 +663,10 @@ class NDFD(ForecastModel): ---------- cols: list Common names for variables. - data_labels: dictionary - Dictionary where the common variable name references the model + dataframe_variables: list + Common variables present in the final set of data. + variables: dictionary + Dictionary where common variables reference the model specific variable name. idx: list Indices of the variables corresponding to their common name. @@ -648,9 +674,13 @@ class NDFD(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - variables: list + modelvariables: list + Common variable names. + queryvariables: list Names of default variables specific to the model. - + variables: dictionary + Dictionary of common variables that reference the model + specific variables. ''' def __init__(self, set_type='best'): @@ -682,8 +712,10 @@ class RAP(ForecastModel): ---------- cols: list Common names for variables. - data_labels: dictionary - Dictionary where the common variable name references the model + dataframe_variables: list + Common variables present in the final set of data. + variables: dictionary + Dictionary where common variables reference the model specific variable name. idx: list Indices of the variables corresponding to their common name. @@ -691,9 +723,13 @@ class RAP(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - variables: list + modelvariables: list + Common variable names. + queryvariables: list Names of default variables specific to the model. - + variables: dictionary + Dictionary of common variables that reference the model + specific variables. ''' def __init__(self, set_type='best'): @@ -703,7 +739,6 @@ def __init__(self, set_type='best'): self.variables = { 'temperature':'Temperature_surface', 'wind_speed_gust':'Wind_speed_gust_surface', - # 'pressure':'Pressure_surface', 'total_clouds':'Total_cloud_cover_entire_atmosphere_single_layer', 'low_clouds':'Low_cloud_cover_low_cloud', 'mid_clouds':'Medium_cloud_cover_middle_cloud', @@ -713,7 +748,6 @@ def __init__(self, set_type='best'): self.modelvariables] self.dataframe_variables = [ 'temperature', - # 'pressure', 'total_clouds', 'low_clouds', 'mid_clouds', diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index d56d7be501..4c014ccab4 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -1983,7 +1983,7 @@ def liujordan_dhi(zenith, cloud_prct, pressure=101325.): return dhi -def liujordan_ghi(zenith, cloud_prct, times, pressure=101325.): +def liujordan_ghi(zenith, cloud_prct, pressure=101325.): ''' Determine GHI from balance of DNI and DHI. diff --git a/pvlib/solarposition.py b/pvlib/solarposition.py index 816ca745db..1420cf92e8 100644 --- a/pvlib/solarposition.py +++ b/pvlib/solarposition.py @@ -289,9 +289,6 @@ def spa_python(time, location, pressure=101325, temperature=12, delta_t=None, unixtime = localize_to_utc(time, location).astype(np.int64)/10**9 - print('localized time (UTC)') - print(localize_to_utc(time, location)) - spa = _spa_python_import(how) app_zenith, zenith, app_elevation, elevation, azimuth, eot = spa.solar_position( diff --git a/pvlib/tools.py b/pvlib/tools.py index 4766594479..b1637a2fb7 100644 --- a/pvlib/tools.py +++ b/pvlib/tools.py @@ -124,19 +124,16 @@ def localize_to_utc(time, location): if time.tzinfo is None: time = pytz.timezone(location.tz).localize(time) time_utc = time.astimezone(pytz.utc) - else: try: - print('converting to UTC') - #time_utc = time.tz_convert('UTC') # wrong - time_utc = time.tz_localize(None) + time_utc = time.tz_convert('UTC') pvl_logger.debug('tz_convert to UTC') except TypeError: - print('TypeError') time_utc = time.tz_localize(location.tz).tz_convert('UTC') pvl_logger.debug('tz_localize to %s and then tz_convert to UTC', location.tz) + return time_utc From 941a5561294c22ed3c7b143e079715dc1bcdde1a Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Mon, 14 Dec 2015 09:16:54 -0700 Subject: [PATCH 25/88] Updated tutorials, radiation conversion for forecast.py --- docs/tutorials/notebooks/forecast.ipynb | 163 ++-- .../notebooks/forecast_to_power.ipynb | 773 ++++-------------- pvlib/forecast.py | 114 ++- pvlib/irradiance.py | 84 +- 4 files changed, 306 insertions(+), 828 deletions(-) diff --git a/docs/tutorials/notebooks/forecast.ipynb b/docs/tutorials/notebooks/forecast.ipynb index 473e90b47d..b20bc675e9 100644 --- a/docs/tutorials/notebooks/forecast.ipynb +++ b/docs/tutorials/notebooks/forecast.ipynb @@ -33,8 +33,7 @@ "from siphon.catalog import TDSCatalog\n", "from siphon.ncss import NCSS\n", "\n", - "import pvlib\n", - "from pvlib.forecast import *" + "from pvlib import forecast" ] }, { @@ -43,24 +42,13 @@ "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Tucson: latitude=32.2, longitude=-110.9, tz=US/Arizona, altitude=100\n" - ] - } - ], + "outputs": [], "source": [ "# Choose a location and time.\n", - "latitude = [32.2]\n", - "longitude = [-110.9] # Tucson, AZ\n", + "latitude = 32.2\n", + "longitude = -110.9 # Tucson, AZ\n", "tz = 'US/Arizona'\n", "\n", - "a_point = pvlib.location.Location(latitude[0], longitude[0], name='Tucson', tz=tz)\n", - "print(a_point)\n", - "\n", "start = datetime.now() # today's date\n", "end = start + timedelta(days=7) # 7 days from today\n", "timerange = pd.date_range(start, end, tz=tz)" @@ -74,7 +62,7 @@ }, "outputs": [], "source": [ - "fm = GFS()" + "fm = forecast.GFS()" ] }, { @@ -85,7 +73,7 @@ }, "outputs": [], "source": [ - "data = fm.get_query_data(latitude, longitude , timerange, a_point)" + "data = fm.get_query_data(latitude, longitude , timerange)" ] }, { @@ -96,7 +84,7 @@ }, "outputs": [], "source": [ - "time_vals = fm.time.values" + "time_vals = data.index" ] }, { @@ -105,34 +93,22 @@ "metadata": { "collapsed": false }, - "outputs": [], - "source": [ - "var_name = 'temperature'" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false, - "scrolled": false - }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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3hWFVSg6UkZRcf/31jBo1im9/+9vMOOh/1Hvvvcdvf/tbnnrqKf7t3/6t5EAL\nIfGhM4i9t46Kl16UpCTglDLumoslLmttBcMoqdriZ9TO0vQkkLuULzqVEgo04jMaRmBoWvr8Rrji\nGn8tk5ScMnhSEvr26FB0d6Nt24oRj5OaNKWgX8ku5Qu5p0t/P0oyiaFpUFFR8ssUM0I9ZFLyta99\njfGZkvDBHHnkkdx44420tDh/Aew//Uyq7/8p8Zf/DF//huPHE5yjnMkbACorMWpqUbq7UDo7ip5Q\n8TvWOHApSYkldI2OpkS1ktw850tRMBobUfbtQ2lttfa9RAmls4PYqrcxYjES804c9GeiWimxqiRT\npg67iC+XrNFcuCslA6okZTwEWiPUBVRKhhS6jh8/nvb2dvbnzPa//vrrA/4+YcKEkoMsFFNRH3/j\nNejtdfx4gnOU276B7FhwGEvx1gblUozlLKFrdCol1vupgPNl6UoidsM1if3lDRRdJzl7Dgzx+bP6\n/hE7R9rGDUDhIlfIGXENuabEDj0JANXVGPE4Sm9v3vv4kEnJ6tWrOf/881m1apX1tZdffpmPf/zj\nrF27trwAi8AYNYrkMbNQ+vqI//Uvrh1XsJ9yxoFNjBDrSkodB4YcV9c9uyPj6molcQW8n6xx8oga\nqFl6klMOHQU2yVZKwn2jPRgzsdBz9iXlwxqfDn2lxKakRFFyztnw1ZIhk5IlS5bw/e9/nwULFlhf\n+/rXv86dd97JkiVLyguwSPrPSMcQ//OLrh5XsBerfVOipgRCXikxk5IShK7E4+ijx6DoOurePTZH\n5k+ylZL8SZzl6hrCZLYQsknJ4HoSCL+QfCiyLYrCb7xGZColpsV86Q+SJnpGV5KvhTNkUnLgwAFO\nOeVQYekZZ5wxoIXjBokPpZOSipfFRC3IZNs3pSclRojHO8uplEDuYr5otHCKqbxlNwWH732Tl/5+\n4m8uByBx8qFOriYDhOS67kpofqCUtrIulZKiyYpdh096h0xKUqkU+iBvTF3XSbq8iyYx/zQMVSX2\n5nLIvIGE4GGLpiTEXgqWxXyJlaTU+GhtCzaTEr2AJDcKKwqGIvbOSpSeHpIzjsQYPXroH4zH0evq\nUXTdao1FgeyNt/DrkhEV87QSqkhDYRQodh0yKTnxxBO55557Dvn6f/zHfzBr1qwywysOY0Qjydlz\nUBKJtOBVCCTFaACGIsyuk+WYp0HuWHBEkpLuwqe5wlxhy0e+UeBcoujpohQ4Wp6LUd+AoSjpMfMQ\nL4xVuopRSiYKAAAgAElEQVRP2IZCH1GY1fyQ80/XXXcdf//3f8+TTz7J7Nmz0XWd1atXM3LkSH74\nwx+WHWCxJE4/k/iKt6h4+c8kPnK268cXyidbKSndETjMlRLVat+UNuoc2fZNIdM3IX7f5KMQPYmJ\n3tiEtnULaltrXlO6sFBKpQRVxWgYgdLehtLejjFqlEPReUvWhbv8pKRQF9whk5K6ujoeeughXn/9\ndVavXo2maVx66aWceOLgM+5O03/6GdTc8+/EXxKxa1Cxo30T6kpJGT4lkJOURKFSkkyi9PZiKAoU\nUFo2Rka0UqLrWXv5QiolubqSiGBelwp5H+VijGiE9jaU9rYQJyX2VUoscXCe9s2QScnzzz/PWWed\nxfz585k/f/A387PPPss555xTRpiFkzh5PkYsRmzFWygH2q2tg0JwKKVMejB6iDcFZ6dvymzfRKBS\nMsCIrwBTpzC/b4ZDW/8+6v79pMZPKKjyYY3ch1zAOYASqwF6YyPalvS5Cqss2HqQtEFTohe4KXhI\nTcm2bdu47LLLeOSRR9iwYQNdXV309fWxYcMGfv3rX3PppZeybdu2sgMtmLo6ksefgKLrxF97xb3j\nCrahFOrAOQxGiAWLSlfp5mmQs5QvAvtvijFOg5xKScR8SmK5UzfFJG8h/HwNRfbGW1xSYvluhFjs\nWsq49FAUuil4yKTk85//PEuXLmXnzp1cd911nH766cyfP5/rrruOPXv28O///u988YtfLDvQYug/\n/QwA4i8FezQ49s5KRlx8IbEVb3odiqvYOn0TwidepVxNSZQqJUUa8YX5fTMc6r59AOgTDivo58Pc\nHh0Kq0VR5HUpCkv5HGnflCp0BRg9ejTXXHMN11xzTdkB2UHi9DPhrn8j/tIyr0MpnUSC+q/+A7G1\na0g9NI3OufO8jsg1stMS5WtKwvgkV7ZPyZix6YmAPbvTEwEF7vEIIllL/sLOVVQ1JcUKFaNZKclc\nl4q88eoRGAvOvn980L7xI4kTT8aoqCD27jso+/d5HU5JVN93L7G1awDQNn3gcTTukn26LcPRNdd1\n0jBsicsvlJuUEIthjB6DYhjpxCTEFFt1M2rrMGKx9JNfhHZoFWtYGMWlfCVXSiJgoGZrpaTc9o0v\nqa4mcdIpKIZB/JWXvY6maNStW6j9XtaiX9u40cNo3KdYHcCgVFdjVFWh9PdD5gMTCnQ97XlAeUlb\nKiItnGLGgdO/oGS9SqJ0wy1SqGhtc41SpaRE19IoLOUzz02xk0mDUWi7K1hJCZD4UFpXUvFy8Fo4\ndd/6Jkp3N33n/U26zL5tC/T3ex2WawyYmCiDMO7oGLAiXNNKfp2oiF1L2aMU5r1JQ1Fs+yaSlZIS\n2zdGQ2FP/kHGTqGr3lBYZSlvUtLW1sZNN93EokWL2L9/PzfccAPteXpCTtJ/+pkAgdOVVPzvf1P5\nP8+g19XT+d3voTdPRNF1tG1bvA7NNewQukI4dSXlepSYRMVArZRWYBRdXYv9zOlRGwnu70dJJjHi\ncaioKOpXI7GUz5H2TZmakptvvplZs2bR1tZGXV0dY8eO5Z//+Z/LDrBUkvNOwKipIbZuLcrugPTN\nu7qouzF9zrqv/xb6+AmkpkwFQNsYEV1Jfz9Kfz+GpkFlZVkvFcpKSbl6kgyRSUpKWO4YyUpJkd5A\nYUz4h6Mc76QoLOWzcyEf8ThGTS1KnmWPeZOSbdu28dnPfhZN06ioqODaa6+lpcXDC15FhbXpsuKV\nYIwG1961FG3rFhKzZtPzpX8AIDVlGgBqRJKSbLm9viC/hOEwQjghoHRklvGVm5REZP9NKXuU9ChW\nSqybSmHJWxgT/uEoR8hpud962DlwmgFtZRsw998MR96kJBaL0dGR3Ri5adMmtDJ63nbQf/oCAOJ/\n9n8LR1u7hur/+H8YikLn0rusMc3U1HRSom2KhtjVrtYN5Gx8DdGF0w5jOYhQUmKJpgs/X2FMZvNh\nWagXOtJZXY1RWYnS2ws9Pc4F5hPKuS5ZouAQt29srZSQTeSGI6+RwVVXXcWiRYtoaWnhiiuuYMWK\nFdxxxx22BFgqCTMp8bvY1TCo++bXUZJJer5wOckTTrK+FbX2jZ1JSRhvLuVazJvo48YBoO4Me1JS\nfNldj6BXSdEL1RQlvZRv1870Ur7qagej855yKgHZSkmYkxJ7KyWFrIfJm5QsWLCAWbNmsXLlSnRd\n59Zbb2XMmDG2BFgqydlz0evqiX2wAXXHdvTDDvc0nqGofOTXVLz6MvroMXR969sDvmdVSqKSlHSW\nZ6Gei1UpCdHNxTo/NrVvtLBrSkp4PxkRdHUtRXtjNDbCrp3ppL9AJ9igUs5uF8un5EA76DqogRtm\nzYvdlRJb2jevvfYaX/nKV/jIRz7ClClT+MxnPsNf//pXWwIsmViMxPzTAP9O4Sit+6n7zk0AdN5y\nm3VBNLEqJVs2QyrlenxuU8rFcSjMKYow3VxUuzQlo8dgqCrq3j2QSNgRmi8ppX2jR3D/TSk33Sgt\n5Su6kpSLpqHXN6AYRjoxCRvJZHo4QVGgqsqWlzQTueHIm5QsWbKEW2+9FYDp06fzk5/8hNtvv738\n6MokkRkNrvBpUlJ723dQ9+2j/0Nn0Pfpzw7yA7Wkxo5D6e9H3bHd/QBdxhFNibRvDiUWQx8zFiDU\nrq7F7r6BCFZKdB16ihdyRmlKqdRlfCZGiK3mswlbYZu4C8GWSkl/fz9HHnmk9ffp06eT8sGTfcJa\nzrfMd3bjseVvUP3g/RjxOJ3f/f6Q/0P1CLVwyhm9O5gw3lzMm2y5PiUQjbHgUtyBIzd909ODYhgY\n1dVFGfIZEZrAKdVi3sQSu4awqmR36wYK05TkTUqmTp3K0qVLee+991i3bh133XUXU6ZMsSO+skge\nexx6YyPatq2omzd5HU6WZJL6f74WgJ6vXE3qyKOG/NEoTeBkn2xtuOk2SqVkOCxX1xCLXZUSLPmj\n58FRml4iSkv5zIelUm3ULUOwMFZKyjw3g1HI9E3epOT222+nu7ub6667juuvv57u7m5uu+02WwIs\nC1UlcZppOe8fv5KqX/2C2LvvkJo0ma5rhzeZi5LY1dbpmxBaYdvlUwKgjwv//puSKiWNOQJpn1VX\nnWBA+b0IjBCO3A+JVSkpTesW5qV8di7jM9EL0JTknb5pbGxk8eLF2RfVdbZv3069DRfPcuk/YwGV\n//UU8T+/SO8ln/c6HADimQSp+2v/lDfDjNJYsJ3tmzAaPGWnbxrKfi2rUrI7zJWSEt5PNTVpD46+\nvrQHh41PgH6k5EqJeaONRKWkvN0u1lK+MBqodTnQvrEjKXnwwQe566676Onpwcg8XTQ3N/Pss8+W\nH2GZJD6U8St51T8bg7VtWwFIHnFknp+Mavum/Okbamsx4nGUnp70zSUEXgpFb70dhqymJKRJiWGU\nttzxYA+OqCQlRT4IhLESORRlTd+QUykJY/vGZo8SyLa7hiNv++b+++/n97//Peeddx7PPvssd9xx\nB3PmzLElwHJJHXkUel09WssO3zhYqtu3AaA3N+f9WatSsumD0JeTSym3D/1iSujGFu3afQPZSklo\nvUq6u7MCzlje56oBGJmxYCUCY8HZm0pxn7lsJTIcn63hKLdFYS3lC8l1KBcnhK66HULXkSNHMnHi\nRGbOnMl7773HJz/5STZu9MmTvaqSnDMXgNjKtzwOBujvR921E0PTLBOr4TAam9CbmlC6u1F3R2TV\nvA3tGwjf2KJdPiWQYzUf0kpJSa2bDGFs/Q1FtlJS3E0lUpWSMq9LeiQqJT4TulZXV/Paa69x5JFH\n8sILL7B7924OHDhgS4B2kJw7D4DYW296HAmoO7ajGAb6hMMKfoKLiti1VNHdUIRtbNHUlOh15WtK\nUqbQNaSakpJaNxks470IjAWXWn6PVOJmU6Uk1EJXmx4kIT2Wb8Tjw/5M3qTk5ptv5vnnn2fBggW0\ntbVx3nnncemll9oWZLkk5x4P+KNSopmtm8Pzt25MrG3BIdeV2KmZgPBVSuxs3xijR2dcXfdCf3/Z\nr+c31DKSkjAa7w1FqS7KURqdLncq0BK6hjCBc6J9Q10dB+7/1bA/MuTj/Oc//3l++ctf8sc//pEb\nb7wRgB/84Af2BWcTiTnppCS+4i3PdRlqRuSaKiopMSdwNjgSk1+wu30TqkpJfz9KXx+Gptlj56xp\n6GPHoe1sQd29C715Yvmv6SPK0SdFqlJS4mSJUd+QTmo7DqRXFeR5sg0y5bYowj0SbH/7BqD/3POG\n/f6QScm2bdu46667eOyxx6ypm1yuvPLK8qOzAX3yFPSmJtS9e9Ii07HHeBaLVSkp4iYQmfaNjbtv\nIFwGTwOW8dll5zx+fDop2dkSvqTEMk4rQ1MSgvdNPkqeLFFVjBEjUFpbUdrbMUaPdiA6f1C2zbzp\n6BpKTYn9PiWFMGT75gc/+AHxQTLkwRIUT1EUkplqSWyFty0cc/ImVVRSMh0I/1iwneZpEC6Dp2zr\npnw9iYkldt0VPgF1thVYfKvLmr6JUqWklDZXmCqRw2CXzXyYKyVu+/kMWSk59thjOfbYYxk5ciR/\n+7d/62ZMRZOYO4+KPz1PfMWbwCWexaFt3QIUNg5sYlVKPsiMBdv0pOw3bNeUhKlSYqPFvEmYXV3N\nm61ewnspUpWSMozBjKYm2Bj+CRyrrVy20LU9dNdv31VKTB566CE34igLawLHL5WSwwuvlBijR6PX\n1qEeaA/v01upZlfDvWSIxhbtTtgA9HHjAHzj32Mn5bRvzEpJFJbylWMMFirN1jCUPWESj2PU1KLo\nuvW+DA1OCF0LIO/c6vjx4/n85z/PnDlzqKystL7uF00JHDSB41V7yTByNCWFV0pQFFJTp6Guehtt\n00aSI0c5FKCH9PejJJPpUbCKCltecsAek4CjdtrnUWJitm/CaKCWFboWf770EG6YHopyWqZhqkQO\nSSqF0tuLoShlCcz1xka07i6UtjZbW7Be44SjayHkrZTMnTuXk046iYrMzcR3mhJAn3AYqbHj0q56\nG7yZYlFa96N0d6M3jCj6jamHXOzqRCUgqw0I/kXTbN/otmpKMlbzoayUlD7JZVVKouDoWsbEW5g0\nW0MxwDupjLZLWK3mnfApKYS8lZKrrrrKjTjKQ1FIzj0e7Q//A8uXw9kXuB6CufOmlEmHsC/ms7t1\nA+ES4tnpUWJiGaiF0NXVej+VoSlR2lpDpwE4mKwmoITzFIGlfOUu4zPRc6zmU2VH5R+cGgnOR96k\nZObMmYd8bezYsSxbtsyRgEolOed4Kj1MStRt5uRNEa2bDGEfC7Z78gbCZfDkjNDVrJSEsH1TznLH\nqiqMmhqU7m6Urk5bz7nfMD93FGkzD+HSbA1Fucv4TEJfKXG5fZM3KVm7dq3150QiwbPPPstbb3nv\nnnowyePTYlf+8hdPjq9tz1RKijBOMwn7tmC7jdMgY/CkaWl3z/5+27QqXmAJN+1sb40enT4/+/dD\nXx/k6MGCTrmeN3pjE1p3N0pra7iTkjJuulFYymclbWXedMO6lM+uSlKx5NWU5BKPxznvvPN47bXX\nnIqnZBKz02JX3nwTUu4X0axKSRGTNyahb99YT7Y23gAUJTuOF/ALZ9Y8zUaRnKpmqyUhW/ZYrkbJ\ndHUNg0h6OMpJ3qJQKaHLHs2EPiK9+Tbo16GD8UromrdS8sQTT1h/NgyD999/3xK9+glj7FhShzej\nbd+Gtv59Ukcd2nZyEnMcWJ9YfFKiTzgMo7ISde8elM6O0D29OdG+gfTTnLpvH2pbK6mxY219bTdx\nQlMCGVfXHdvTrq4TJ9n62l6idJkjwSVWSkLU+huOcp509UYzcQvvObJLMxFWq3lHdt8UQN6k5PXX\nX0fJEYM1NTVx1113ORpUqSTnzkPbvo3YijddT0q0bWnjtFIqJagqqSlTia1bi7pxI6njZtscnbc4\n0b6BrJdC0G8uqlNJydhMpSRkYtdydt9ARColug49pWsColApsWv1RSiX8qVS6X1cigLV1a4eOm9S\nsmTJEuvPHR0dtLS0MLGEaoAbJOYeT+UzTxJb+RZ9n3HXhdZs3xTlUZJDauo0YuvWom36IIRJib17\nb0z0kIwtOqEpgdyx4HCJXcsZCYaIeHD09KAYBkZ1NWha0b+ujwjhjfYgbK+UHGgvOya/YFnMV9e4\nPqGWV1Pym9/8hhtuuIF9+/ZxwQUXcPXVV/u3UmJuDH7rTXcP3NeHtnsXhqZZffxiSU0Or67ECZ8S\nyK2UBPuJ1/IpqbPXeMkyUAvZ/pvsSHBplSXLgyPg75vhKFekaOm1WlvTVZcQUu4yPhNL6BoiTYlX\nrRsoICn59a9/zTe/+U2eeeYZzj77bJ5++mn+/Oc/uxFb0VjOru++k1657RLqju0A6IcdXtJTCYR7\nAsep9k3oKiW2a0rCuf+m7EpJU3iM94ZigDFYKVRUoNfWhdM+PYNd5mD6iMzDUZg0JTYlbKVQ0PRN\nY2MjL774ImeeeSaxWIy+vj6n4yoJo7EJpk9H6e1FW7c2/y/YhGmcVsx24IMJs1eJU+0bIySW4Y4J\nXc39N2FKSvr7URIJjFis5DHnSFVKyrjhZnUlIbrZ5pBdxldm+yYkU4C5ZBM2H1ZKjjjiCL785S+z\ndetWTjvtNK655hpmzZrlRmylceKJAJmNwe5gTd6U4FFiEuaxYOupzW7NhHVzkaRkMCxX1xBZzQ/Q\n35TY67YqJQFPZofDDo+JMLkmD0b2xlum0HVE+HxKfN2+ueOOO7j88st59NFHqaio4OMf/zi33347\nAC+88ILjARbNSScB7m4MtqNSok+chBGLoe3YDj09doXmC8rZ6jocoaiUGEbOjdah9k2okpLyVxZY\nlZIQ77/JijjLP09hbXPZZQ5m5PqU+HA3XCl45VECBSQl8Xick08+mcZMierss88mFksP7dx9993O\nRlcKmUpJLGCVEmIxUhkvCW3LZjvC8g2OTd+MGg2AGmQhZ3c3iq6npyRieYfhisIYORIjHk9Xknp7\nbX1tryh3HBgiVikpo/xuhL5SYpN/UlUVRlUVSjJpaTGCjq8rJeWycuVKFi1aBMDmzZv53Oc+xyWX\nXMItt9zizMbhefMwFIXYmndduxBnl/GVkZQAekhbOE6Zp6WmTQdAW/++ra/rJqpDVZL0i6voYzO6\nkpBUS+youlltiTBrSmx40tUbw72Uz67pGwhfC8erZXzgcFLyk5/8hJtuuolEZhLmzjvv5Otf/zoP\nPfQQhmHw3HPP2X/Q+npSM45ESSTSiYkLqFb7pjzXzLCKXZ0aCdabJ2JUVqLt3oXSccDW13YLaxzY\nZj2JieVVEhIDtWyCW/r5GtCWCPu4azltLqmUFEzYxK5eLeMDh5OSyZMnc88991gVkdWrV3NSRvOx\nYMECXnnlFUeOa/qVxNzwKzEMNKt9c3hZL5UdCw5ZUtJVvg5gUDSN1LQj0n8MaLXEKT2JiW6KXXeH\nJCkpcxwYiMa4q41CV6mU5Mc0UFNDYqBmZ8JWLI4mJeeeey5ajm9HbrumpqaGjg5nLgiJzMbg2Ern\nxa7Kvn0ovb3ojY1l31hCWylxqH0DkDpiBhDgpMShyRsTs1KihWQsOGucVl6Ca4zM6EpCKna146Zi\nVZRC0pI4GLt8SiCn1SWVkrJxXFMy4GBq9nBdXV00NNjrYGliObu6IHbVtmf0JKXsvDmI1BRJSool\neYRZKXnP9td2A8eTknEha9/Y1AoM/birDe2brPYmrOfIHp8SCN9SPjMpwQNNSUFy/yeffJINGzbw\n5S9/mT/84Q9cdNFFADz88MNFHezoo4/mjTfe4OSTT2bZsmXMnz8/7+80NdUQixXnktr04dNA04it\nW8uYGhWcLEF17AMgNm0KY8aUeWOpnwWKgrZtK2MaqyAetyHAwSk71kIxDMiUyEdPmWD/v+n49J6g\n2q2bqLX53+TKOVLSeqvK0SOdOd6MtHi6pm0vNQ68vmvvIxMlCUD1mJFUl3PscWPgHWjSe8Hhf4Pr\n5whA7wegbtxI6ko9/tR0O7qy64Dj/wZPzlFv2nph1OTx5b8HJqS3lDckexx7P7l6jjLvn9qxI22/\nruYjb1KydOlSdu7cyerVq/m7v/s7HnvsMdasWcMNN9xAVVVVQQcxtwxff/313HzzzSQSCaZPn87C\nhQvz/m5ra3dBxzAZM6aePV0pmmYeQ+zdd2h94RWSp5xa1GsUQ/W766gDesZOoHNP+e2okYc3o23b\nyr4330XPTJfYzZgx9eyxIdaC6OlhjK5jVFayt60XsHciKjZuIk1A8t01tNr4b3LrHFXt2E090BOv\nsuX9czDxmkYagf5NW2i3+fVdfR9lqNm1l1qgS62gu4xj19c2UAUc2LSdPgf/DV6cI4D6fW3pf5+u\nlfzv04wKRgLJPXtt/WwdjFfnaHRHJwqwt0fHKPP4NRU16ffltp1lvS+Hwu1zVLevjWqgQ9fodejf\nMxR52zcvvfQSS5cupbKykvr6eu6//36WLVtW8MGbm5utisqUKVN48MEHefjhh7n99tutZMUJEnPN\nFs5fHTsGZLcDp2xo30COs2tIxK5Otm4gR1OycQOkUo4cw0my7QiH2jeTJgOgbQ6H940tQldyJ3BC\nqimxY/omzOZphgE9Gd1EtQ3tm8awjQT72KdEO2jBXH9//yFf8yPWBI7Dzq7W5E2ZHiUmWbFrOBbz\nlbvRNR9GfQOpseNQenut0ewgoTqsKUlNmoyhqqjbtkB/vyPHcJOseVp55yssKwqGIjvxJjbzg9LT\ng2IYadNCG+5nekOOq2sI8LWj68KFC7n22mtpb2/ngQce4JJLLuGCCy5wI7aySLo0gaNmhK6pctxc\nc7DErmGplNj0ZDscqRlHAqBtCN4Ejumv4pRPCRUV6M2TUHQ9FE7B9lVKzE3BIa2UWE+6ZQiCa2ow\nKipQenvDt/rCJot5E2vlhVRKyiZvUvKlL32JT33qUyxcuJCWlhauvvpqrrjiCjdiK4vkzGMwKiqI\nrX8fxcHZcW2r6eZqU/smZGPBdnoBDEVqerqFEwvgWLA1feNQJQkgNS3znvpgvWPHcAu7RoLDP1mS\nsTsvZ8uromTPU0hutibZkWl7vJOs9k3oKiU+nL759Kc/zRNPPMGCBQvciMc+KitJHnMs8RVvEXt7\nJYnTHYi/pwd17x6MeNwavSyXrKYkZO0bu43TckgdEVwDNac1JZBJdP/0fCgSXdWGhXyQ41MS2kqJ\nPVouo6kJdu9K60oyCx7DgN2VEtNm3skHYDfxtU/JqFGj+Mtf/kJ/APvRybmZFo5Dzq5ay3YA9AmH\ng2qP5cuApCSAws2DccpiPpcgG6hZjq5OtW/I2RH0wQbHjuEaNizkA9Ab00lJKPUS2LcEM6xW83Y7\nlobXZt6HlZJVq1ZZC/VMFEVhzZo1jgVlF+mk5GeO6UqsyRubRK4A1NWRGjsObfcu1JYdtrWFvCJb\nKXEu404ekdGUBDEpcVjoCjktwRAkJdkFhuLoOhx2VQLCupTP7rZyeBfyuV8pyZuUvPbaa27E4QiJ\nTKUk7tAEjmrtvLExKSG9LVjbvQtt4wchSEqc36GgT5yUXsy3swWls8PRVojdmEJXo94Zd2Mgux8o\nBBNdik3tm1BPluh6dty1zJtKeCsl9lnMA1BdnRYF9/WlRcHV1fa8rkf4ulJyzz33DPr1K6+80vZg\n7CZ15FEY1dVoWzah7NuHMWqUra+vbd2SPs5EexOH1NRpxN94DW3TRhJnnGnra7uNXWXkYdE0UlOn\nEVu7Bm3DemscPAg4PRIMg4wFV1Q4diynMZ/g9LLbEjnl9lTKlrFQ32DjuGtYl/LZaTGffkEFY0Qj\nyp7dqO1t6EFOSnQdxZy28uP0Te4SvUQiwfPPP8++ffscDco2YjGSs9I25E60cLKVEvuTEgjHBI7S\nZU+5PR/mBI72frB24JgXx3JvssMSlrHgVMq+nRyxGHrDCBTDCI040cROEWdYl/JlKyX2fe5Cs5TP\nPDfV1bZpJYshb6XkqquuGvD3r371q1x22WWOBWQ3iePnEf/L68RXvkXirHNsfW3NcnO1t31jiV1D\nkZS4swI7OeNIKgmYriSZROnuxlAUZ/czAampU9G2bEL7YL0lDA4aA6okNlwsjcYmONCO2rqfVMa3\nJAzYOe4a1tFpu6dvAIyQGKh52bqBErYEd3Z20tISnDXolrOrAxM4pnGa3boPq1ISgrFgV9o3QGp6\nRjexITheHNnJmwZwcOUC5EzgBDjRtduITx8Z1taEfQ8CVqUkdJoS+x+W9JBYzdvt4VIseSslZ511\n1oC/t7e3c/nllzsWkN2YY8Hx5a+j7tiOftjh9rywrlsW87ZXSnLbN4bh+A3LSewyu8qH+fQfJAM1\nNyZvTMIwgaPYNA5sYok4Q+ZVYmcVwJoqCWviZuN0iWF6lQQ8gfO6UpI3KXnwwQctXYmiKDQ0NFDv\nwkXULlLTjyA5bTqxDzbQdMYpdN1yG72XfqHsG72ydy9KXx/6yJG2l96Nxib0pibU1laU3bsxxo2z\n9fXdxA2becjxKvlgfXr6wINeaLG44eFiEo5Kib3ut7ploBbsm8jBZMc5y39fhb5SYmf7xqyUBFyj\n5KWbKxTQvlmyZAnNzc00Nzdz+OGHU19fzxe+8AU3YrMHVaX9iWfo+9h5qB0HqL/uakZ86v+glnlx\n1qydN86M7IbF2dWt9o0xohF9zFiUnh5LgOx33LCYN0lNNQ3UApyU2KxPCn2lxIbzFNbRaSeuS2ER\nurqxGmQ4hkxKvvrVr3LWWWfxwgsvcNZZZ1n/nXnmmfT19bkZY9noEw7jwC8f5sCPfo4+ahQVLy1j\n5IfnU33fPSW7pprGaXZ7lJhkWzjBLbeDe0JXgGTAnF2VTtOjxIWkJATbgu2uLOlNYa+U2Dh9E7pz\nZNMUVw7GiHBMKvm2fbNkyRLa29u57bbbuPnmm60WTiwWY/To0a4FaBuKQt8nLqb/jA9Td9M3qHr8\nt6XbdmEAACAASURBVNR9+0Yqf/8EHf9+L6mjZhb1clalxE431xzCsi04qylx4cZ7xAx49WW0De+T\n+MjZjh+vXLIeJc4Zp1lUVqI3T0Tbshlty+ZATuBY7Ru7KiVNYa+U2NC+aRiBoSioHQcgmYRY3o5/\nMHBS6Br0Solf2zf19fU0Nzdz33330d7ezs6dO2lpaWHTpk387ne/czNGWzFGj6bjvp/T/uAjpMZP\nIP7Xv9B09unUfP9fIZEo+HXUbZnJG6faN2alZEPAKyUuaUoAUhm7+VhAvErM9o3ukkYr6NW3rNDV\nJk2JWSkJa2vCjpuKqmaN5tqDrZXIxVGha2gqJd60b/Kmvd/4xjdYsWIFbW1tTJ8+nbVr1zJv3jwu\nvvhiN+JzjP6PnUfrqfOp/c7NVP/qF9QuuY2KP/4PbU/8F1RV5f19y6PEZjdXk9QxxwIQe2elI6/v\nFm62b7LbgoMxFqzYtMelUFJTp8GLLwR2AsfuBNeqlIRs/43d4656Y1p0r7btJ2WzK7ZX2G4zT47Q\nVSolZZFX6Lp8+XKefvppFi5cyK233sqjjz4ayI3Bg2GMaKTz+z+g7bdPZqomy6n83/8q6Hed2ntj\nkjzqaIyKCmIfbLD2owQOw8hZyOf8jTdpurpuCIimxEWhKwR/Asfu91LoKyU2nScjhEv5sjbzNrZv\nTPO0kFRK8JvQ1WTs2LFUVFQwbdo01q1bx4wZM+jKvOnDQmLBh+m58hoAKn/zcEG/ozlknGZRUUHS\nqpa87cwxnKa727YdHIWgT5qMEY+j7dgOmadqP6O4qSkhJykJeqXEpiQuWykJz80W7HcrDeNSPkcq\nJaYoOOCVN6+FrgUlJT/60Y+YN28ejzzyCE8//TTdZiYVInovuhhD06h4/lmUvXuH/+HubtS9ezHi\ncfQxYx2LKXncXABiK1c4dgwncbN1A0AsZt14Yx/4v4WTdXR1S1MS7LFgu99Poa2U2N2+CeEEjhM2\n8/q48emHot27rP0xgcTv7Zs77riD5uZmZs+ezbnnnsszzzzDLbfc4kJo7mKMHUv/h89CSSap/P1j\nw/6stmM7QNod1kGTruScTFLydlCTErNE6p5dsbWYLwBjwa5rSgI+Fmz3+bImSw60pydLQoL97ZuQ\nVUoMI0c3YeMDUyxGatJkINj+Ul4LXfPeUa+++mouuOACABYtWsQPf/hDTj31VMcD84K+T38WgKrf\nPjLsz5mTN6mJkxyNJ/hJib224IWQCpBXiZs284A1FhzUbcG265M0LauXCLg4MZfsebLnSdc0UAvN\nOervR0kmMeJxqKiw9aWD3iKFAAhde3t72bFjhxuxeE7fwgvQa+uI/3V52q58CDSHRa4myZnHpMuB\n69+3nhKDhJvjwCZZAzX/jwW76lOSIchjwU4kuWF0LM0+6dpUKQmZ1bwTy/hMQrFjyu+Vkv3793PW\nWWfxoQ99yHJ1Pfts/xtTlURNDf0X/B8AKn8zdLXEqpQ4nJRQWUly5jEohoG2apWzx3IApdv9pCRb\nKQmApsT0KXFp+gaCfdG02zwNwDD33wRcnJiL7dqbkC3lc9JG3dJtBdj00muha16fkp/+9KdAehmf\n6eoaZno//VmqHv1Pqn77CN3fuHHQxX3aNocnb3JIzplL/J2VxN9+i+Sp8x0/np24tfcmF2tbcAAW\n87ktdIVgjwXbbZ4GuZWSECUlmUoANrVvjJAJgp286QY56TdxRG9TBHmv2M3Nzbz55ps8+uijjBw5\nkuXLl9PskLW6H0icvoDUuPFomzcRW/7GoD9jepSk3EhKjpsDBHMCxwtNidHYhD56NEp3N2qLv9uO\ndm+9LYTsBE7wLppObFW2brihrJTY5OdiLS4MSVLioHdSkJN+EyfGpYshb1KydOlSXnzxRf7whz+Q\nSqV47LHHuPPOO92IzRs0jb5PfhqAqiE8S9yulEAwnV2dKLcXQjJjN6/52W7eMHLM01ysJAX4ounE\niLk57hoqTYndPiWh05Q4VynRmyemdYAtOwI7Fqx0+dyn5KWXXmLp0qVUVlZSX1/P/fffz7Jly9yI\nzTN6M1M4lb9//NDRSV1HzYwEpw473PFYksfMwtA0tPfWQcBM67xo30COrsTPzq69vekJgMpKqKx0\n7bDWWPDWgI0FG0ZOkutApSQsS/l0HXrsFSqGTQycrZQ48LAUgrFg37dvtIOcOPv7+w/5WthIHTuL\n5NHHoLa2UvHcHwd8T9mzB6W/H33UKFvXXg9JVRWpo45G0XVi7wZL7OpF+wayXiUxH48Fuz4ObJI7\nFrw1QGPBPT0oup5O4uJx217WqpSEpDVBT4/tLsoDxqZDoCt0erok6GPBdmuSiiVvUrJw4UKuvfZa\n2tvbeeCBB7jkkkss35LQoij0Xjy4Z4m2bQsAKYe2Aw9GwmrhBEtX4lX7JgheJU489RdKakrwxHhO\nJbimMVhY3EqdcCqlogK9tg4llQqkNcHBOK2ZyI7dB69Fiq5nz0+1T5OSf/iHf+BTn/oUCxcupKWl\nhauvvporrrjCjdg8pe+TF2MoChV/+O8BC5asRXwu6ElMkrPTSUk8YGJXz9o3M/yflKiZi7vuokeJ\nSWpa8C6aTiVxptV8WColWQ8Ou5O38CzlM9s3TlW6LTF5AL2A6OkBwKiqcmVf2WAUNC/Z19dHf38/\nhmFQYbMDnl/RD28m8aEzUPr6qHzq99bXtW3m5I17E0jJ2cGcwHF9902G1KQpabHZ9m2+1eF41r4h\nmBM4TiW4logzJJoSpz5zobKatyolzjwsBblS4rVHCRSQlCxZsoSf/exnTJkyhcMOO4y7776b++67\nz43YPMcSvOa0cFRzO7CL7ZvkscdhqCrae2utTDYIWIIylzUlxGKkpkwF/Hvj9TQpCWDP24lxYMip\nlIThZotD7RvCtZTPqXNkEsTPl4nXIlcoICl54YUXePDBB1m0aBFf/OIXefDBB/nd737nRmye0/83\nH8eoqqLilZfS0wqAtjXj5uqmV0tNDamjZqKkUsRWB0fsqnY65weQj1RmLDjm0wkcpeMA4K5HiUkQ\nn+SccgcOy7p5k+xNxRntTRiSNydt5iEzFhyLBXIsOBCVklGjRtHRkRU3JRIJmjIf5LBj1DfQt/B8\nACof/w2Qoylx2mL+IAJpouZR+wZyxK4+9SrJPvl7kJRMnpLejhugsWCnzpfRMAJD01C7OgNzLobD\nqfaNVSkJwVI+J23mgXSldvIUIHhjwV4v44MCkpKGhgY+/vGPs3jxYm699VYuuugidF3nhhtu4IYb\nbnAjRk/pu/gzQMZIzTDQtpuVEmc3BB9MEE3UHPUDyEPS514lXrZvgjgW7Jg+SVHCJeJ06KZiTSlJ\npaQggmo37/UyPihg9825557Lueeei5LZATNr1ixrD44yyF6YsNH/kXPQR40i9t46Yq+/hrp/P0Zl\nJcbo0a7GkZh9PBCsSokTu0oKxfQq8etiPi/23uSSmjodbesWtA82WOfKz6idzrnf6k0jUfftQ21r\nJTVunO2v7yZOCYLDtJTP8UoJwXVO9kP7Jm9S8slPfpLOzk7a29utrymKwmGHHeZoYL4hHqfvok9R\n/bMfU3P3vwEZJ1eXF70lj52FoSjE1q6G3l6oqnL1+KWQ1ZR40b45AsgYqBnGoIsVvUQ1NSVeJSXT\npsGyFwJz0VQc1CdZeonW/aRsf3V3cUrEGSareTduvFndVtAqJd4LXfMmJd/97nd59NFHGTFihPU1\nRVF47rnnHA3MT/Re/Bmqf/ZjKjPurm56lFjU1ZGacWS6YrPmXZLHn+B+DMWg656+wY2Ro9BHjUo/\nAbfsQHdhJUAxmDdZL3xKIHhjwU66A+sjTav5MNxwHdKUhGgpnxtt5axXSTCSfhMzYXPFrXwI8iYl\nzz77LMuWLaPWo42BfiA570SS06YTy1zA3Ra5WnHMnptOSt5e6f+kJLc36XJVySQ1fQbqvn1o69/3\nX1LS4Z2jKwSvvGy2u3QHkpLcSknQcdzPJVSVEtGUHEwghK4zZ86kr6/PjVj8i6JYgleAlBeVEnJM\n1N72v67EK+O0XJI+tpv3VOhK8C6aTroD600hqpQ45VMSysTNuWuTPnFSMMeCgyB0vfDCC/nYxz7G\njBkzrEV8iqLwy1/+0vHg/ETvp/4vtf96B+BR+wZIzgmO2FXt8mbvTS6mV4kfJ3CUTo81JQePBfvc\nqdkp8zTIVgFCccN1qn0zbjwA6o4dvtRoFYMrbeXMWHBsw3q0TRtJHXOsc8eyETcmk/KRNym54447\n+Na3vsWECROsr0Vh6uZg9KnT6J//ISpefZnkUTM9iSF53GwAYmve9f2NxKu9N7mYXiUxH3qVZCsl\n3mhKzLFgbesWtK2bfT+B46QOIJSVErvbN6NHo9fWoR5oR2ndjzFylK2v7yZuVXFTU6elk5KNHwQo\nKQlApaS+vp6LLrrIjVh8z4EfP0Ds3bdJnnCSJ8c36upJTj+C2Ib1xNauthb1+REnhYmFYhmobfDf\nWLCTT/6FYo0Fb/zA/0mJNX1jf2UpVJUSK3mzWROgKOhTpqK++w7apo0kg5qUpFIofX0YiuL4BGMQ\n7eYDMRJ8wgkncNVVV7FgwQJisfSPK4oSyUTFGDeOxLiPehpDcs7cdFKycoW/k5JOH7RvJk/BiMVQ\nt21N7wyqrvYsloPxWlMCGV3JshcCcdF0pVISKhGn/cluaspUYmZSMu9E21/fDQZsUXa44m/ptjYF\nQ0wOOZ8zPwtdu7u7qa2t5c033+SNN97g9ddf5/XXX3cjNmEQkqaJ2tv+dnb1Q/uGeJzUlKkohuGv\nG28qlbY1x+P2VoAmcJwdCU4/9au7d9n+2m7jZGvCWnIZMOv0XJxexpdL0MbuISDtmyVLlgDQ1tZG\nY8aOWfCO7ATOWx5HMjx+mL6BdAsntv59YuvfI3XsLE9jMTGfRvS6es/GpSFYEzhW5c0Bd2B9auZm\nu3kT6Lqn/0/KxawEYHf7hpAkJS4KOQO5+LLL+/ZN3k/fmjVrWLhwIRdeeCG7du3inHPOYdWq4Gyq\nDRtWUrL6XUgkPI5maLI3Xg8rJeTazftnAsfSR3jYuoFg9bydTHKNunpSY8eh9PVZCzeDipMVSjMp\nUYOclGTODy5UAqyx4B3bAzMW7AdH17xJyb/8y79wzz330NTUxLhx47jlllu45ZZbXAhNGAyjYQTJ\nqdNQ+vrQ1q31OpwhMW+8eNm+AVIzMmPBfkpKOpzb41IMqUmTg7EtOJFIixM1zTFxopWg+VAUXQzS\nvsmDWQlwo4Ibi5GaNBkIzjnzg9A1b1LS29vLEZk9IgCnn346/X6+gEUAU+Aa97GJml/aN8lMpST+\n+qsoe/d6GouJ4vHeG4uqqkBsC1Zy9TcOiRNT09PXuCBUjYZE16Enc1Optv+moh/enH7y39mSFo4H\nEKXbXSFnkHRb4Gz7r1DyJiWNjY2sWbPG+vuTTz45YA+O4D5mUhJb6V9diV/aN8m5x5M8aibatq00\nfuJ8lF3eixmzlRKPPEpySE3xf9/bjfHprCgxwJWSnh4Uw8CoroaM0aWtxGKWcaS2xb9J7HBYmgmX\nKrhB0m2BP4SuQyYlTzzxBACLFy/mO9/5DuvXr+eEE07ggQce4Dvf+Y5rAQqHkpyTSUp8PIHji+kb\ngMpK2h57muTMo4mtW0vjJ85H3dniaUiWaNPrSgnB0JW4UXULwnnIhxuTJUFv4bg98mq9r4IyFuyD\n9s2Q0ze/+MUv+MQnPsHkyZN5+OGH6erqQtd16n1wIY06WbHrKkgmIZZ3iMp1smZX3i9yNMaOpe3x\nZ2i8+OPEVq9ixIXn0f74054tVvSDcZpJECYEspM3DlZKQtC+GeDB4RDZpMS/75fhcLsSEKhKiWEE\nQ+hqUltbKwmJTzAam0hNmoLS04P23jqvwxkU84kEHyQlkLbJbnv8KRLHzSG28QMaLzwf1aMStJrR\nlOg++DwFoUKQTeKcO1/WzXbzJl9PtQ2HKxUls90X2EqJu1o3qy3o46Tforc33f6rqPD0QXfII69f\nv56zzjpr0O8pisJzzz3nWFBCfpJz5qJt2UTs7RW+3Ktgfvh1B2zBS8UYOYr2x55kxGc+QfytN2m8\n6HzaHnsKPfM04xZ+cHM1CYIQz5UbSXU1qeaJaNu2pncBTTsi/+/4DDfbN0EdC85WAtxpTxwyFuxh\nWyQffpi8gWGSksmTJ/PjH/8YwzDcjEcokMScuVQ+9Ttib6+g77OXeB3OIfipfZOL0dhE+29+z4jP\nfor48jdovOh82h9/ytXdL74SuuaOBScSEI97HdIhZFcWONvuSk2dnk5KNqwPZlJi3XDdaN8ENClx\nW+uWGQuOfbABbfMmUkcf485xS8APrRsYpn0Tj8c5/PDDaW5uHvQ/wVuSx6V1JfGV/hwLdnJXSbkY\nDSNof/QJ+k89Da1lByMuusDVNphfzNOA7FhwKuXbsWC3biRBaGUNhyvtm8lTgMz0TSrl2HGcwotq\nQFDeV36plAyZlMybN8/NOIQisSZw3n3HlxeH7K4SH9x4B8Goq6f9Px+j//QFaLt20njR+WhrVjt/\n4L4+Kv70PAD6+AnOH68ALJ2ATy+abgmDU9ODcfMYCldaE7W1affbRAJ1x3bnjuMQXjwsBUFMDu4I\npQthyKTk29/+tptxCEVijBxFauIklO5uX7mVmri5Y6Jkamtp/9Wj9H/4LNS9e2i8cCHxTMLgFNU/\n+zHalk0kj5pJ/znnOnqsQvG7rsStG0nW1TWgSYlLFSU9wC0cL3w4sp8vf7+vfF8pEfyP2cLxnYla\nKoXS3Y2hKFBd7XU0w1NTQ/svH6Zv4QWobW2M+Ownqb7vHnBAS6Xs30fNXUsB6LrlNt+Mcvt9bNFK\nShyuulljwT6/eQyFW5MlQdaVePGwFLhKiSQlQqlYLZx3/GWiNkAwFYSNq1VVHHjgIbqu/ScUXafu\n2zfCZZdBb6+th6n53ndR29voP/Mj9J/1UVtfuxz83vN2rX0zaQqGpqFu22r7/3s3cOumMmB8OmBk\nJ5TcTEr8/fkycXNZ4XAE4I4hDEUik5TEX37JkSf7UsnqSbw3BysYVaX7hm9z4CcPpG26f/GLtPvr\nrp22vLy24X2q7/8phqLQufg2x3a4lIL1JOfTZXSu6QDicfSJk1AMI5hVALcEwRmxaxDHgq0WhYuV\nkqBsC5b2jVA2iVNOQx89mviqt6l47g9eh2Ph58mbfPRd+Elan/4jTJpE/K/LafzomcTeXF7269be\nuhglmaT3c5eSmnWcDZHaR2r6Eeh19WhbNvtSvOimA24ywM6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y5jRNhw7imP0qANmpU8Ak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MAAAN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\n/w+OOK9DbWrRCgAAAABJRU5ErkJggg==\n", 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WZLIsvKHKYyYKoutYOJbGB8dm0OOyYGVPm/B1V5sJDKgmmhBCms3hk35oNQzWLjm/PtTe\naoSGYagmWgJSBdH2ViO0GobKOUQaOhNANsdic5/nvLsulequokMHBdF17O3DE8ixHK7d1H3eL5BO\nq4HTZqSBK4QQ0kQi8TROT4SxoqcNLabzexhrNAzsVgNloiUQjUsTRGs0DBxWI2WiReJjnF63+Cw0\nULK5kILo5sEWNhQadMUNhaXcdjMCkRTSmVwNVkcIIURpR0/7weH8rhylnFYTgpG0qNpPUsRnoqut\niQbyJR2haBrZnLiJec2Mz+DzGzTFKgbRlTdjoCC6Tg2eDmAmmMTmtR60zLJDmK+L9tJtIkIIaQp8\na7sL66F5TpsRLMchGKWSjmpEkxkwDC7K9ovR3mYCB8AfoWNSKT6D76oyiHa3maHXaSgT3Ux+f+Ac\nAOCPNvXM+vfFNndU0kEIIY2O5TgcOeWHzWLAojk2WTkKmwsDFLBVJZbIwGLSQ1NFHS6P75pCddGV\n84WSMOg1kpTVdDlbMOGLga1w0jMF0XUoFE3hwIgXve5WLO+2zfo91OaOEEKax9h0FOFYGv3LnHMG\nd8LAFQqiqxJNZCQp5QCKWVQKoivnCyfRbjNVtamQ1+2yIJ1lK757T0F0HXrrUH5D4R9d2j3nLw+1\nuSOEkOZxmG9tN0c9NFAycIU2sonGcRxiiSxazdWXcgB0TMRKpLKIJbNV10PzxG4upCC6zrAch10H\nx2HQa3D1urmbi3v4TDQF0YQQ0vCOnPSDAbB+6XxBNI3+rlYilQXLcbCaDZI8H98rmkZ/V4bP3Lva\nzJI8Hx9ET1AQ3diOnvLDG0riqrUd825qaDHpYTHpKIgmhJAGl0hlcfxcCEu7bLC2zB3c0cCV6hU7\nc0iTiaapheLwFx3thUx+tcT2iqYgus78fn9hQ+Gls28oLOW2mzETTFZcKE8IIaR+DI4GkGM59C+b\nOwsNAFaLAVoNDVypRjSRBVB9j2ieQa+FtUVPNdEVkqq9Hc9tN0GnrbxDBwXRdSQQSeHgcR+WdFix\ntNO64Pd7HGZkcyyCtImEEEIaFj/q+5Lls7e242mY/HAPykSLJ9W0wlLtNhN84RQlvCoglHPYpCnn\n0Go06HS2YMIXr+g4UBBdR946NA6W43DtPBsKS7mpLpoQQhoax3E4fNKPFqMOy7oXTq44bSaEabiH\naDEJB63w2m0mZHMsIoVJiGRhQjmHRJloAOhxW5DK5OCv4K4ABdF1gmXzGwqNBi2uWttR1mP4zYXT\n1OaOEEIa0qQ/Dl84iXXLnNBqFv5Id9qM4AC6QymSkImeZciZWO3U5q5ivlASWg2DtlZpNngCQHd7\nCwBg3Fd+SQcF0XXi8Ekf/OEUtqzrgNlY3oYGGrhCCCGNjZ9SeMkC9dA8h7C5kIJoMSIylXMAxQl8\nZGF8j2gpBt7wxIz/piC6Trx5YBwAcO0cEwpnw/eKpnIOQghpTIdP8f2h56+H5hUHrlDAJkZMhiCa\nphZWJp3JIRxLS1rKAZR26IiW/RgKouuAP5zEwRNeLOuyYkkZGwp5dqsROq2GgmgJjM1EadMHIURV\n0pkchs8E0eu2CBnmhfDDPQLUoUOUqAw10cLUQspEl8UntLeTNoj2OMzQahjKRDeaXQfHwXGVZaGB\n/E5st91ENdFVOn4uhL/9l714bd9YrZdCCCGCY2eDyGTZsrPQQEkmmoJoUWTpztFGvaIrwQfRLokz\n0VqNBp3tLRj3xcCVmTSjIFrlciyLtw5NwGwsf0NhKbfdjFgyi3iSdv2KNTadv7XzwfBMjVdCCCFF\nhyushwZKxkxTOYcosUQGRr0Wep104ZPFpINBr6FyjjJJ3SO6VI/LglQ6V/ZFJgXRKnfohA+BSApX\nr++E0aCt+PG0ubB6/Aac4+dCSKSyNV4NIYTkHTnlg1Gvxcpee9mPaTXroddpKBMtUjSZkTQLDQAM\nwxR6RVMQXQ65yjkAoLu9sLmwzA4dFESr3J6BKQDAtRu7RT3eI/SKpjenWIHCGzbHchgaDdR4NYQQ\nAniDCUz44li7xFFRVpRhGDhp4Ipo0YT0QTSQDwhjySwlasrglTETXezQIXMQHYlEcPToUQwODiIS\niYh9GrIAvhdir6dV1OPdDr5XdPmF8uR8pa2gDp/y13AlhBCSd6RwLlpfQSkHz2kzIRLPIJPNSb2s\nhpbJ5pDOsGg1l9dmthJUF10+XygJhkHZm2krUezQUV4QXfFvwptvvokf/vCHOH78ODo7O6HT6TAx\nMYHly5fjnnvuwbXXXlvpU5J5BKNp2CwG0b0QaWph9fyRFCwmHTguP16X47iyJkYSQohcDgujvkUE\n0SW9ojscLZKuq5FFE/kssZSdOXjFXtEp9LjFJc2ahS+chKPQfUxqfIeOCTmC6EceeQTt7e3427/9\nW6xateq8vzt27Bj+/d//Hb/85S/x93//95U8LZkDx3EIxdLodVtEP4e7cHVLHTrE4TgOgXASne0t\n8NjNeH94BpP+OLraxR8TQgipRjbHYnA0AI/DDI+IINhhK3booCC6fHJ05uDRwJXyZHMsApEUVva0\nyfL8Oq0GHc5ih46FEmYVBdFf/epX0dnZOevfrV69Go899hgmJiYqeUoyj0Qqi2yOhb1V/C0Lg14L\nh9VINdEixZJZpLMsnFYT+pe34/3hGRw56acgmpAy+cNJ2K1GSSeLNbsT50JIpnP4UH/5re1KCZlo\nCtgqImsQTaO/yxKIpMBx8tRD87pdFox7YwhEUsIgnLlUlAvv7OxEKBSC31+sC92zZ895/93V1VXh\ncslcgtE0AMBmqW42vNtuhj+SRDbHSrGspsJ/yDhsRvQXag/5CWGEkPntG57B//OP7+D9oelaL6Wh\n8PXQ/SJKOYCSgSs0+rsicgxa4QmtB+nCZl78RYbUPaJLdbfn786U06GjoiB6YGAAt956K44cOSJ8\n7Q9/+AM+/vGPY2hoqMJlkoWEYvkguq3qINoEjivuaCXl4zcVOq1GOG0m9LgtGD4TRDpDG3IImQ/H\ncfjlH04BAE6Oh2u8msZy+KQPOi2DvsUOUY8vjv6mILoScmaiHYW7NV4KouclZ3s7Hl+TPj4jcRC9\nY8cOfOc738HWrVuFrz300EP49re/jR07dpT9PAcPHsT27dsB5APzrVu3Yvv27di+fTt+85vfVLKk\nhhaK5U9w9tbqgmgPbS4ULSAE0fk37CXL2pHJsjh2NljLZRGiekdP+3GmMKiIzj3SiSYyODMVxape\nu6jZAQBlPcWSM4jWajRwWA1UzrEAOQet8CrJRFdUEx0Oh3HVVVdd9PWPfOQj2LlzZ1nP8YMf/ACv\nvPIKLJZ8TenRo0dx99134+67765kKU0hJJRzVNfGpdjmjj7IKsV/yPAfOv3LnfivvWdw+KS/olG7\nhDSb3+4+AwDQahga9iShYDR/Yd/pFL8h0GzUwWjQ0sCVCsVkDKKBfOvB4+dCyOZYWTpPNAKhR7SM\nmegOZwu0Ggbj3oVbA1d0lHK5HFj24rpalmWRzZbXIHzJkiV45plnhLnkR44cwe9//3vcdddd+PrX\nv45YrLy2Is1AKOeoMhNNbe7E4zPR/G72Vb12GPQaHKG6aELmdGoijMHRANYtdaDHZcFMMCGc80l1\novHqAzl+4EqABq5URM6aaCCfXeU4IEhlNnNSopxDp9XA4zDjnDe24HmroiD6iiuuwDPPPHPR1//x\nH/8R/f39ZT3HzTffDK22eAtq48aN+NrXvoZ/+7d/w6JFi2Z9/mbFZ6LtVdZE8+UclImunLCxsNAh\nRa/TYO1iByZ8cXhD9PMkZDa/3T0KALjlqiVwO8xIZ1ghKUCqEykEctaW6gI5Z2FCXipN+zvKxQfR\nVrmCaGpztyBfKAmbxQCDXlwpU7m6XRYkUlmhwcNcKirnePjhh/GXf/mXeOWVV7BhwwawLIuBgQE4\nnU780z/9k6iF3nTTTbBarQCAG2+8Ed/85jfn/X6HowU6XfU/PLfbWvVzyC1ROLktX9oOYxW/MC6O\nQ4tJh0A0pap/t5rWMpdQPAN7qxHdXcWelFs2dOPgCR9GZ+JYu9JTw9VVrx6OQTNopOMw7o1i37EZ\nLO9pw7WbF+P0dBT7hmeQ5hhV/zvVvLbzjHgBAN0dtqrW3O1uxdFTfnA6rar+7Wpay4VSWRZaDYNF\nPXZZBm4t6bEDGK35e0Wtx4BlOfgjSSzvaZN9jSsXO7BveAbx7PxdzSoKoltbW/HCCy9gz549GBgY\ngFarxV133YUrrrhC9ELvuecePP7449iwYQPefffdBTPaAQnGV7vdVszMqH9U+UwwDrNRh3Cw+n+z\nq82ECV8M09NhVUzbq4djwHEcvMEEutst5611iSdfz//uoXFcvrJ+66Lr4Rg0g0Y7Dj/9ryFwHHDz\nFb3weqNoNeYTAMdO+eCxVndXTS71dAwmpvPr5LK5qtbcUtiUeGLUD5NKym/VfhyC4SQsZj283qgs\nz28sHIfTYwHMLLHL8hoLUfMxCERSyOY42FoMsq/RUbjTM3Dci02r506WVRREv/7667j++uuxZcsW\nbNmyZdbvefXVV3HjjTcu+Fx8IPeNb3wDf/d3fwedTgePx4OnnnqqkiU1tFA0XXVnDp7bbsaZqShC\nsXRVw1uaSTSRQSbLCpsKeR2O/PTCgdN+2gCiYizLIZ3NwWSo6DRHqhCKpvD24Um47SZcvsYNoKSc\njPZkSCISl6acw0EDVyoWTWTQJuPnp7Nk9De5mNAjWsZ6aF53YaDaQh06Kvp0GRsbw913341t27bh\niiuuQGdnJ3Q6HcbGxrBnzx785je/KSuA7u3txYsvvggAWLduHX76059WsoymkM2xiCYyVY38LlVa\nF01BdHn4net8e7tS/cudeP2DczhxLoQ1Inu1Evkk01l85/8exHQwgb//4jV0oaOQV/eNIZtjse3K\nxdBq8j9zvjsQbWyWhlRt1mjgSmVYlkM8mUWPS75ptS6qiZ6XN5w/h8jZ3o7X4WyBhmEw7pUwiP7s\nZz+LW2+9FS+88AIefvhhjI6OgmEYLF68GNdddx3+4R/+AS6Xq6qFk7xwTJpphbzSD7LVi2pzm6je\nFDtzXHzR0b+8Ha9/cA5HTvkpiFaZTJbFM/9xGMfPhQDkf+dpTLv8EqksXv/gHGwtenzokuLkWqfV\nlG9zRxubJRGN5z8bqt5YKAxcoYCtHPFUFhzk68wBAEaDFq1mPd0dmIMSPaJ5el2+Q4ekQTQAuFwu\nPPDAA3jggQdEL44sjN/JLlXWmAauVI7/cHFaLz4GfYvt0GkZHD7pwyevXaH00sgcciyL//eVoxg4\nHYDZqEUilcNUgIJoJbx5YByJVBbbti4/b+e8RsPAZTfTuUcikXgGRoMW+io32BcHrlAmuhxyDlop\n5bQZMemLg+M4VexfUhO+zEWJcg4g36Hjg2Pz70mje5wqxbe3q3bkN89NdYkVE6YVzvKGNRl0WNVr\nz9eZR+lDSA04jsP/91/D2HdsBn2L7bjrpjUAgCl/9RtzyfwyWRa/e+8MjAYtrr+s56K/99jNiCYy\niCfLmydA5hZJZCRpsWYy6NBi1NHo7zJJ0Z+7HO02E9JZVmhlSIr4trJKZKIBoNu18EAjCqJVih/5\nLVU5h9NmhFbDYIZuqZZN6BE9SyYaAC4pTCw8csqv2JrI7DiOw8/eOI63D01gSacVX/nkBvR6WgEA\nU/Q7L7vdRycRjKZx7cZuWEwXBxl0J0waHMchmshIFsg5bUYqHSiTUplovlc0HZeL+UJJWEw6mI3K\nbBbvLqP+nYJolZK6nEOr0aC9zUQfYhXgb3POFUT3L3cCoCBaDX6zexT/vfcsutpb8OCfbYTZqIOn\nsA+AMtHyYjkOv91zBloNg5s3L5r1e/g9GVMStChtZqlMDpksC2uLVMkVE5LpHN0hKIPc0wp5fJaV\nr/8leRzHwRdOyjqp8ELdZZQBigqig8EgHn/8cWzfvh1+vx+PPvooQqGQmKcic5C6nAPIZ4PC8QwS\nKTphliMQScFmMczZ2aHHZYHDasTRU36wLI00rpXf7z+Hl948iXabEQ9/ehNshQDDqNfCYTVimgI3\nWR0Y8WLSH8fV6ztmLX0CIFzQ0EV8daQuKeD3e9DmwoUpnYmmIPp80UQG6QyrWCkHAHS1t2ChsnRR\nQfQTTzzXyKIUAAAgAElEQVSB/v5+BINBtLa2wuPx4K//+q/FPBWZA5+JbpOoTzRQrIumD7KFcRwH\nfyQ166ZCHsMw6F/mRDSRweiUOpvTN7q9g1N4/r+HYW3R4+HPXHpRENfhMMMXTiGdodHGcuA47rwR\n33MpbbFJxJNq5DfPIZQOUF30QmJJhYLoNuoVPRsv35lDwUy0XqfFXTevmfd7RAXRY2Nj+MxnPgOt\nVguDwYAHH3wQExMTohZJZheKpaDVMJLeOqIgunyReAbZHDtnZo3XX6iLPnzSp8SySInDJ334wS8H\nYDJq8dCfbUKn8+JNIB2Fr9GGWnmMjIVwYjyMTStd89YPuu0mMKBzT7WkGrTCo0x0+RTPRFNN9HmE\nQSsKZqIB4LpLL94oXUpUEK3T6RCJFDNvp0+fhlZbXbsdcr5QNA2bxQCNhC1uirdU6c25EKFH9DyZ\naABYt9QBhgGOnKS6aCWNjAXx7H8chkbD4P5PbsCSTuus39fhyAfRU34K3uTwm0IW+tar585CA/mM\njt1qpIuZKkUT+TuUkpdzUNZzQUoF0dYWPfQ6DQXRF+B/HkqWc5RDVBD9la98Bdu3b8fExATuu+8+\n3HHHHdQ3WkIcxyEUS0taDw3Q+N1K8DujLxz5fSGLSY8V3W04MR4SbvcReZ2ZiuAffn4IOZbDF2/v\nn3fYTYeDLyOgumipjc1EceiEDyt727Cyt23B7/fYzQiEU8hkWQVW15iKNdHSbSwEgABlohcUEzYW\nytsZgmEYOG0mqom+gJKDVioh6rdh69at6O/vx8GDB8GyLJ566im43W6p19a0Eqn8Dmypg2iXPf/L\nN0MBxYL43qmzjfy+UP9yJ46fC2HgdACb+zxyL62pTfnj+M7PDiKZyuIvP7YOG1fOPyHVUyjnmKQO\nHZL77e4zAIBb56mFLuV2mDF8NghviIbfiCV5TTRlossWTWRgNuqEcfZyctmMmPLHkUrnYDTQXX6g\nNjXR5RD127B792588YtfxHXXXYelS5fi05/+NPbt2yf12poW3yNayk2FQL65vs1ioEx0GfgawYXK\nOYBiv2iqi5ZXIJLC3794AOFYGn9+02pcvb5zwcd4CrW41CtaWr5QEnsHp9DtsmDDyvayHkObC6sn\ndU20QV8YM00DVxaU78+tTH9i/g4B1aoX+cJJGPQa2ctpKiUqiN6xYweeeuopAMCKFSvwgx/8AE8/\n/bSkC2tmxfZ20vSILuWxm+ELpZBj6ZbqfAJhflrhwsdgSacVrWY9jpz0geOo1Z1c/vkXR+ALJ3H7\nR5bhhst7y3qMXqdFe5uJ+hNL7L/fO4Mcy+GWqxaXvW/D46Agulpy1OU6bUYEwkk6d80jP+Qmq1gA\nR72iL+YLJeFqM6tuFLqoIDqdTmP16tXCf69YsQK5HLWQkooc7e14brsZLMdR+5wF+CMpMChv2I2m\n0OouGE3j3ExM/sU1IY7jcHIigl53Kz52zdKKHtvhMCMUTSOZpv7oUogmMth1cBwOqxFXreso+3FC\nEE13wkSLxNNgGMw6FVIspzU/ZjpGA1fmlM6wyOZY2Qet8KhDx/niySziqazqSjkAkUH0smXLsHPn\nThw7dgzDw8P47ne/i6VLl0q8tOYVihbKOSSuiQbyraYA0PjvBfjDSdha5x60ciF+euHhU1TSIYdY\nMotsjoWrzVRxJoKvi6YOHdJ4fd8Y0hkWf7x5UdnvD4BGf0shmsjAYtJDo5EuG8ffbaMx03OLSNwV\nZSEURJ9PrZ05AJFB9NNPP414PI6HH34YjzzyCOLxOL75zW9KvbamVcxEy1DOQZPDFsRyHAKRVFmb\nCnnrl+XrQqnVnTz4C0u7iLszQps7KumoWiqTw6v7xmAx6bB1U3dFj20x6WEx6aicowqReEayemie\nkwauLCiWyGfpWyW8AzAfKuc4n9CZo4zySqWJqpK32+148sknhf9mWRbnzp2D1Tp7r1ZSGSGIliET\n7bHT8ImFROIZ5Fhu3mmFF2qzGLCkw4qRsSCS6SxMBmU2oDSLYFT8hWWnM3/hSJsLq7dnYArRRAYf\nvWapqN9xj8OMs9NRsCwnaTa1GbAsh1gig+72i4cKVYMGrixMqR7RPIfVCAY0tZDHZ6JdbeYar+Ri\nojLRzz//PC677DKsXbsWfX19WLduHe6++26p19a0ZC3n4DPRFFDMib+t6ajwqrd/uRPZHIehM0E5\nltXUghJkoqepzV3V+Jr/S1fN31pwLm67GdkcJwwzIuWLJTPgALS2SPu5QG3uFhYVekQrE0TrtBrY\nrUbKRBeotUc0IDKI/tGPfoRf/OIXuOWWW/Dqq6/iW9/6FjZu3Cj12ppWKJaG2aiDQS99f0hbix5G\nvZYy0fMIVNAjulT/snxd9BFqdSc5PogWk4lubzNBwzCYpHKOqoXj1d0lo82F4kUl7hHNo3ZqC5Pr\nZz+fdpsJgQh10gIAb1idPaIBkUG00+nEokWL0NfXh2PHjuETn/gETp06JfXamlYwKv20Qh7DMHDb\nTZgJJqil0RzKnVZ4oRU9bTAZtFQXLQO+7aNDRBCt02rgsptoY6EE+LtkNrFBNF9ORhc0FYvE5Skp\n4EsHApSJnlNM4Uw0kP/8YTlOOPc1M18oAZ2WkaVjWbVEBdFmsxm7d+/G6tWr8cYbb2B6ehrhcFjq\ntTWlbI5FNJGRLYgG8rdUk+mcMP2KnK+SaYWldFoN1i11YjqYoE1sEitmosW9LzqdLYgmMojTaPaq\nhOMZWEy6irpylKJMtHjCoBWJAzmdVgObxUCZ6HkINdEKbSwEiqULXirpgC+UhNNmKrsnvZJEnQmf\neOIJvP7669i6dSuCwSBuueUW3HXXXVKvrSnxJ0o5r7g8VBc9L6GcQ8ROYL7VHWWjpRWM5fvj2kTW\ng/K/87S5sDrhWFp0FhrIX8ADdO4RI1pos2aVuCYaKAxciaTA0t3JWUWTym4sBACXjTp0AEA6k0M4\nnlFlKQdQYRD92c9+FgDwP//zP3jssceg0Wjw/e9/H/v27cNf/MVfyLG+piNk3GSYVsjjP8goGzQ7\nfzgJhhF3IcPXRdMIcGkFIym0WQyiOzrwmwsnaXOhaFLcJbO3GmDQaejcI4JQziFDXa7TakI2xwmv\nQc6ndHcOAOj1tAIAjo+HFHtNNVJzj2igwhZ3Y2Nj+O53v4uXXnpp1nraL3/5y5ItrFnJOa2QR0MP\n5ucPp2BvNUKrqfxGjavNjK72FgydCSCTzUGvk35zaLPhOA6hWBrdLovo5+jg29xREC0aH2BVk4nO\n78kwC3sy1DbCV83kDOQcJQNX5CwlrFexRAY6rQYGvbgyJjGWddlgNGgxeDqg2GuqEZ+JdzVCJvr7\n3/8+9PqL38C0QU06YRl7RPOozd3cWI5DMJoS2j6JccnydqQzLI6NNXcGQSrxVBaZLCtqUyGvk29z\nR7/zovHnJrElNTy33YxEKicEhaQ8Qk20TJlogNrczSWayKDVrFP0ok+n1WDNIjsm/fGmbgnpbaRM\n9Pr167F+/Xo4nU78+Z//uVxramrVbqAqR7vNBIahco7ZhGPpigetXKh/uRO/e+8sDp/wYf1Sp4Sr\na07BSPXvCafNBJ2WoQ2fVeDb21WTiQbO31woR31vo+JHT1vN8tREA9Tmbi7RRLYm0/LWLXHg0Akf\nBk778aFLuhR/fTUQMtEqDaJF3Zt44YUXpF4HKShOK5TvDavTatBuM1EQPYvipkLxb9g1i+wwG3V4\nb2gaLEt3aaoVLLwn7FVkojWafBnBpJ9aO4olZKKrDKKFPRl0V6Ai0XgGep08JQX8+Y7a3F0sm2OR\nSGUVrYfmrS0kYQaauKTDp+Ie0YDIsd+dnZ347Gc/i40bN8JoLH6wUU109cJR+WuigfwH2eBoAKlM\nDkYZhrrUK2FaYRWZaL1Oi819Huw6OI6hMwGso2x0VaTIRAP5zYUTvjgiiUzVJQnNSKoguoPKyUSJ\nJjKwtuhlKSmg0d9ziyWzAJTtEc3rcVtgbdFjcNTftHsIvKH8Rn97FZ/JchJ1Sbtp0yZs3rwZBkP+\nZEqZHekEYyloGEb2q17+lqqXstHn4WsCq8lEA8A1/Z0AgHeOTFa9pmYXkiATDeR7RQPANA1dESUk\n0X4NN/WKFiUSz8j2udDWagDDFHvkk6JadObgaRgGa5c4EIymm7azkC+UhMNqFN2bXm6iMtFf+cpX\npF4HKQhF07BZ9LI3FS9tc9fjbpX1tepJceR3dQHbyt42uNpM2Dc8g+0352A0ULZfLD4Tba8yE+3h\nO3QE4ljZ21b1upqNUBNdZRa/vTA0gYLo8qUzOaQyOckHrfC0Gg3srUYEwpSJvlCshkE0AKxd4sDe\nwWkMnA6gq118h6J6lM2xCEZTWNWj3vO1qNC+r6/vov9t3bpV6rU1HY7jEI6l0VZlxq0cHhp6MCv+\ndmY15RxAPoNwTX8nUpkcPjg2I8XSmpYUNdEA9YquVrGco7pgQqfVwGkz0rmnAnw2VM6NmPmBK2na\nx3GBWmaiAQjlgAOnm2+AVyCSAseptzMHIDITPTQ0JPw5k8ng1Vdfxf79+yVbVLNKpHJIZ1lF+nQK\nk8OClHko5Q/ny2mqDdgAYMv6Trzyh9N458gEthTKO0jlgtFUVdMKeR00tbAq4VgaZqNOkt7nHocZ\nA6cDSKXpLk05hEErMgZyTqsJJ7gwQrF01UmERlLrINptN8PVZsLwmSBYlhM9cKoe8SPP1RxEV11k\notfrccstt2D37t1SrKephWL8tELlgmi6pXq+QCSJtlbxk/FKdThbsKLHhoHTgabu81mtUDQFWxXT\nCnl2qxEGvQbTlIkWpdqR36Vo4FNlhEBOhh7RPGfJwBVSxJdz1GJjIW/dUgfiqSxGpyI1W0Mt8O3t\n1NqZAxCZiX755ZeFP3Mch5GREWGTIRFPGLSiQDlHi0mHVrOegugSLMshEEljWbdVsue8pr8LJ86F\nsXtgErdctUSy520WHMchGK1uWiFPwzDw2FswFaBpeZXKsSwi8YywObNa7pK7Avx4YzI3oUe0nOUc\n/MCVSAorZHuV+lPrTDQArF3ixK6DExg47ceyLlvN1qE0vr2dq81c45XMTVQmes+ePdi7dy/27t2L\n9957DwzD4Lvf/a7Ua2s6waj80wpLue1meIMJqoErCMXSYDlO+DCRwuY+D3RaBu8cnqQuNiIkCtMK\n7RK9JzqcZqQyOeG9RsoTjWfAAbBJdIHvseeDccpEl0eYVihnOQdlomeljiDaAQAYHG2uftG+Oijn\nEJWJ3rFjh/DnSCSCiYkJLFq0SLJFNSupWkiVy+Mw49REGIFIStW/pEqRalNhqVazHhtXuLDv2AzO\nTEWxpFO6LHczCBSCXal6hHYI47/jVPdZAeHcJFEm1ENt7ioSVaIm2kajv2ejhiDaZjGg192KkbEQ\nMtmcJPsS6kFx0Ip6z9WiMtE///nP8eijj8Ln8+G2227D/fffT5loCfA10VJsaisH1UWfLyBRj+gL\nUc9o8YJRafcJdDhpc6EYxZHf0gQSbnv+PTZDY9jLUuzOIV8g56CBK7OKJTJgALQYReUcJbNuqQOZ\nLIvjY6GarkNJ3lACNotB1RcNooLon/zkJ/ja176GX//617jhhhvwq1/9Cm+99ZbUa2s6oULWzSbz\ntEKe8EFGQTSA4qCBantEX+iSFe1oNeuxZ2ASOZaV9LkbXagQREudiZ6izYUVkWpaIc9k0MFmMdAF\nfJkihYuYVhlrom0WA7QahjLRF4gkMmgx6WreFYMv6RhokpIOluPgD6fgUvldctHdOex2O958801c\ne+210Ol0SKXojVctxcs5aIf8eYSR3xLfOtJpNbhyrQfheAZHTzVfr89q8LXLdotEQbSTekWLEY7l\nM6FSBdFA/vzjC6WQzdGF5UL4TLTFJF82VMMwcFiNCFAm+jyxhHyTIiuxepEdWg3TNHXRoWgaOZZT\ndWcOQGQQvXLlStx77704e/YsrrnmGjzwwAPo7++Xem1NJxRNw2zUwqhX5taFR6gPpSAaKM1ES/+m\nvaa/CwCVdFQqKGSipQnebC16mAxa+p2vkNSZaCBfTpbPNlHQtpBIIgOLSSf76GOn1YhQNE0XNgUc\nxyGWzKoiiDYbdVjWZcOpiTDiyWytlyO7ethUCIgMor/1rW/hnnvuwc9+9jMYDAZ8/OMfx9NPPw0A\neOONNyRdYDMJxVKwSZRxK0dbqwF6nYZuqRYEIkloNYwsdwKWdVnR6WzB/hFvU5wApVLsWCPN+4Jh\nGHQ4WzAdTIClbillk3pjIUCbCysRiSuTDXXaTOBQvHhtdolUDjmWU0UQDeTrojkOGD7T+Nlobyh/\nXmjITLRer8eVV14Ju90OALjhhhug0+VvM33ve9+TbnVNJJtjEY1nFCvlAPK371xtJhq/W+APp2CX\naNDKhRiGwZb+TmSyLN4fnpb8+RtViJ9WKNGGNiA/uTCTZYWNpGRhxY2FMgTRdP6ZF8dxiMYzsg5a\n4TmENnf03gCAaLL2nTlKNVNddLFHdAMG0dU6ePAgtm/fDgAYHR3FHXfcgTvvvBPf+MY3mraXbqTQ\nh9Wu0KZCnsduRjyVRaxwsmhWOZZFKJqGQ8ar3i3rOwBQSUclgoVphVqNdKcqfnPhJHWGKFs4lobJ\noIVBwlIzfk8GBdHzS6SyYDkOVrP8nw3FgStUYgOoY1phqRU9bTDoNU1RF93Q5RzV+MEPfoDHH38c\nmUz+l/Pb3/42HnroIbzwwgvgOA6vvfaa0ktSBb69nZSZnnK4KRsEIF+Pnh+0Il85javNjL7Fdhw7\nG4SXbmEviOM4hKJpyTYV8vg2dzT+u3xSjvzm8ece2tg8P37QihKZaH7gCt2lyVNDj+hSOq0Gq3vt\nGPfGGr7kxhtW/8hvoAZB9JIlS/DMM88IGeeBgQFs3rwZALB161a88847Si9JFUIKTyvkUYeOPDk3\nFZbaUugZ/e5RykYvJJHKIp1lJb87w3fooF7R5WE5DpF4RvIg2moubPJs8nPPQiIJ+acV8oRMNAXR\nANQXRAPA2qWF6YWnGzsb7QslYTHpYK5xf+6FKB5E33zzzdBqi7cES8s3WlpaEIlElF6SKvAbd5Qa\ntMJb5GkFABw7G1T0ddUmUAiipW5vd6Er1nig12nwzhEaA74Qflphm8TvCeoVXZloIgOW4yTdVAjk\n9wl47GbMBBP0XpgHP63QKmOPaJ4w+pvKOQCoM4het8QJABgYbdx2qRzHwRdKqj4LDdSoJvq8BZTU\nOsZiMdhsthqupnZCEk9mK9fK3jZYTDrsH/E29QcZ32ZLznIOIN+m6LLVbkwFEjg5EZb1teqdMGhF\n4kx0q1kPi0mHScpElyUclX5TIc/tMCOdYYUkArmYMGhFgUCu1ayHXqehTHSB2mqiAWBRRytazXoM\njgYa9jM7ksggnWVVXw8NAKLz5K+88gpOnDiBe++9F7/73e9w++23AwBefPHFip5n7dq12Lt3L668\n8krs2rULW7Zsmff7HY4W6CQYAel2W6t+DimlC205ly5yKL62K9d34o19YwinWKxcZFfsddV0DBLZ\n/AFYvtgp+7pu+dAy7BmYwv7jPly9sVfW11qImo7BhXKj+bsjvV1tkq+z12PF8bEgnE4LtDL33i2H\nmo/DucLFRpfHKvk6l3a3Yd/wDNIcU/OfQa1ffy5cIdHU02VTZI0uuxnBWKpmPw81HYcc8p2aFnVL\nfw6qxsZVbvzh0DiyjAbd7lbJn7/W/9bg2XypyqJOZX7nqyEqiN65cycmJycxMDCAL3zhC3jppZcw\nODiIRx99FCZTeVcODJP/5XzkkUfwxBNPIJPJYMWKFdi2bdu8jwtIsKPe7bZiZkZdZSOT3igAgE1n\nFV/b2kV2vLFvDK/vHUWbSZlBL2o7BuNT+bVocjnZ19XjMMFmMeDND8Zw+4eWyj5AYS5qOwYXGpsI\nAQB0HCf5Op1WI3Ish6ETM8LQoVpR+3E4M144DpD+OLQa8+ebY6d88Eg0UEcMNR8D4bMho8xnQ1uL\nHhPeGMYngtBLkLCqhNqOw4w/BgDIJDOqWtfyLiv+cAh4e/8Yrru0R9LnVsMxOH46X6rSotfUfC3A\n/BcVoj693377bezcuRNGoxFWqxU/+tGPsGvXrrIf39vbK2Ssly5diueffx4vvvginn76aSG4bjah\naBoahlFkB/aF+pc7odNqsH/Eq/hrq4U/koJWw8CqQDmNVqPB1es6EEtmceiET/bXq1cBvsRJhraP\nfIcO2ly4MDmmFfKENne0uXBOfDmHEhsLgfzAFaC4T6SZFWui1bW5bV1hc+HA6casi/bWSXs7QGQQ\nXboxEADS6fRFXyOVyU8r1ENTg4sIk0GHdUsdGJuJNm2XjkAkBYfVqNjP/5pClw7qGT03vmONHJtt\nhV7RtLlwQXIG0dTmbmH8xsJWBfpEAyWbC6kuGtFEBga9RvGM/EI8djPabUYMjQYacvJqcdCKucYr\nWZioIHrbtm148MEHEQqF8OMf/xh33nknbrvtNqnX1jT4frhSjTYW49JVLgBoymx0jmURjOaDaKUs\n7rCi192Kg8e9QraDnC8ow7RCXrFXNAVvC5EziHZaTdBqmKbvUz+faCIDrYaB2ahMIEcDV4piiYxi\ndwAqwTAM1i5xIpbM4uxUtNbLkVy9DFoBRAbRn//85/HJT34S27Ztw8TEBO6//37cd999Uq+taSTT\nOaSzrCy3rcu1aaULDIADIzM1W0OtBCNpcFzxNqZSrunvRI7lsHdwStHXrRehaBq2FmmnFfKENnc0\ntXBBoUI5gdQt7gBAo2HgKrS5I7OLFEZ+K1XqSJnoomgiq6rOHKX4ftGN2OrOF07CqNfCYlJXGc1s\nRK3wU5/6FF5++WVs3bpV6vU0Jb69k9Lt7Uq1tRqxvMeG4bNBRBMZVfXFlFtAGLSi7J2Aq9Z14Oe/\nP453j0zi+stq26VDbTiOQzCaQle7RZbnNxt1sFkMFESXIRxLw6jXwmiQJxPqsZtx2B9HPJlFSx18\naCotksgo2i+3mIlu7iA6k2WRyuRU+1m4dklx6MotVy2p8Wqk5Q0l0d5mqos9cqJSPO3t7XjvvfeQ\nTlNvTymEZNxAVYlLV7nBccDB481V0sHftlSynIN/vfVLnTgxHqba3AskUvLfnelwmOENJZHNsbK9\nRiPIj/yWL5Cgqalzy+ZYJFJZWBXccF7MRDd3OYcaB62Usrca0eOy4NjZIDLZxjmHxZNZJFJZuOqg\nlAMQGUQfOXIE27dvx4YNG9DX14e+vj6sXbtW6rU1jWImunY10UCxLvpAk9VF87ctlS7nAIpjwGmD\n4fmCwqAV+d4THY4WcBwFb/ORa+R3KX5zId0VuFgtAjmzUQejXtv05RxqHLRyobVLHEhnWZwstKFs\nBPymwnqYVgiILOfYvXu31OtoanwXglqWcwBAV7sFHc4WHDnlRzqTg0Gvrh3JcuEz0U6ZR37P5rJV\nbhgNWuw+OonbP7KsJt1Z1Cgo07TCUkKbO39CtrKRehdPZpFjOdhkHDntoQ4dcyqO/FYukGMYBk6b\nEYEm31goXMCYVBxEL3Xg1X1jGDgdwJrFjlovRxL1tKkQEBlEP/PMM7N+/ctf/nJVi2lWwZg6yjkA\n4LJVLvx2zxkMjAawaaWr1stRRKCQcXFYlX/TGg1aXLHGjT8cnsTI2WDDnAirJWd7Ox5tLlyYEvs1\nhF7R1KHjIkqO/C7V4WjBhC8OfzhZkzt0aqD2cg4AWLPIAYYBBkcD+F+1XoxEvKH8eaBeMtGiyjlK\n57VnMhm8/vrr8PloaIRYYZVkooF8XTTQXF06/JEUdFpG0WxPqWv6uwBQSUepoAL7BDqchSCa6tHn\nJGd7O57bbgIDykTPJpLgM9HKfjasXmQHAAyfDSr6umoSTao/iG4x6bCsy4aT42EkUtlaL0cSxR7R\n9RFEi8pEf+UrXznvv7/0pS/h7rvvlmRBzUgtNdEAsLzbBluLHgdGvGD/mING0/jlBf5IEvZW5Qat\nXGjNYjvabUbsHZrGHTeugslAHQqCCmSiPQ6aWrgQJYJovU4Lu9VIUwtnEU0oX84BAH1L8kH00GgA\nW9Z3KvraalEPNdFAfnrhyfEwhs8GG+Lucb2Vc0jSgDUajWJiYkKKp2pKwWgaJoN8LaQqodEw2LTK\nhXA8g5Pj4VovR3bZHItwNF3TW5YahsGHLulCKp3De0PTNVuHmiixsdCo18JhNVI5xzz4C3w5a6KB\nfElHIJxqqC4DUojEa5MNXeyxwmzUYfhME2ei66CcAwDWLnECyLe6awS+cBI6LSPrhbuURAXR119/\n/Xn/u+mmm/Cnf/qnUq+taYRjKVWUcvA2FUo69jdBSUcwmgKH2mwqLPXhDV1gALx1iC5GgXzbRwby\nTCss1eEwwx9OIZ3Jyfo69YrPRMu9X8PtMINDsR6S5EVrFERrNAzWLLJjOpho2lZ3xZ+9uu8Mruyx\nQa/TYLBBhq54Q/k6/HrZZC/qt+P5558X6qIZhoHNZoPVapV0Yc0ix7KIxDPoVFF3gHVLHDDoNdg/\n4sWnrltZ6+XIyi9sKqxtEO1qM2PdMieOnvJj3BtDt0s9vw+1EIymYbPIM62wVIezBUNngpgOJNDr\naZX1teqREuUcQHFz4VSAOqWUiiTyP3+la6KBfJnZgeNeDJ0JCPs2mkm9ZKL1Oi1W9bZh4HQAoVha\nVQm5SqUyOUTiGfS66+dcLOoTaseOHejt7UVvby96enpgtVrxuc99Tuq1NYVwLAMO6thUyDPotehf\n1o5JfxwTvlitlyMrob1dDTpzXGjrxm4AwFuHxmu8ktriOA7BWEqRbjXUoWN+4bhC5Rx8mzuqTz9P\nrco5AKCv0CloqElLOqLJDDQMA7NR3ZlooGR6YZ1no/11tqkQqDAT/aUvfQmDg4OYnp7G9ddfL3w9\nl8uhq6v5rlSlEFbByO/ZXLrKhQ+OzWD/iLehM0PCyO8al3MAwKaVLrSa9fjD4Ul88toV0GnlzcKq\nVd4Lho4AACAASURBVCKVQzrDyloPzRN6RVPwNqtQLA2DTgOTzPs1+CCaNheeL5rIwGTQQq9T/lyw\nyNOKFqMOQ6ONUWtbqWgii1azri5GT69b6sRLb57E4OkArl5XvxtB621TIVBhEL1jxw6EQiF885vf\nxBNPPCGUdOh0Orhc9b8rtBZCKuoRXWrjShc0DIP9IzO49eoltV6ObIRphSrIROt1GlzT34nfvXcW\nB0a8uKLPU+sl1QT/npBz0ApPyERTm7tZ5Ud+G2QPJGj09+yiiUzNWm9qNAxWL8qXdHhDCbjazDVZ\nR63Eavizr9SSDitajDoM1vkFD38RXS89ooEKyzmsVit6e3vx3HPPIRQKYXJyEhMTEzh9+jT+8z//\nU641NrRgVD3t7Uq1mvVY1duGk+fCwg79RsRnoh0qyEQDwEcKJR27mrikIxiRvzMHz203g2EoiJ4N\nx3GIxNOK7JJvMelhMelo4EoJ/uffaq5dgqWvUCbQbF06WI5DLJlRfT00T6Nh0LfEAW8oWbd3c4bP\nBPDSmycBAEs662ePnahin7/5m7/BgQMHEAwGsWLFCgwNDeGyyy6jDh0ihBTa/S7GpavdGD4bxMHj\nXqFet9H4w0notBpYVXKy7HFZsKLHhqMn/fCFknV1W0sqwoWlAkG0XqdBu81E5RyziKeyyObkHfld\nyuMw4+x0FCzbHP3pF5JM55DNcTXNhvYtLvSLPhPAhy5pnpLNeDILjlP/psJSa5c48MGxGfzX7lFc\nd1kvetyWuulwsf/YDP7pF0fBcRz+6mPrGn9j4fvvv49f/epX2LZtG5566in87Gc/QzrduNlKOalp\nWuGFLl2VL9H54FjjtrrzR1JwWo2qqnvbuqEbHIC3Dzdnu7ugguUcQL5DRyiWbpiJX1JRqjMHz203\nI5vjhLtDzU4YtFLDQK7X0wqLqfn6RdfLoJVSG1a0Q6th8PsD43jyX/fige+9he+/dAi/e+8szkxF\nwJZMmlaTXQfH8czLh6HVMHjgTzfg6job7iMqE+3xeGAwGLB8+XIMDw/jox/9KGKxxu7iIJegUBOt\njnKCUm67Gb1uCwZOB5BMZxtukl42xyIcS6O7kG1Ri81rPfjJayN4+9A4PnbN0qbLygUj8k8rLNXh\nMOPoKWA6kKir24hyUzqIFjYXBuJNeQfmQkJnjhpmojVMvi56/4gX3mACLntz1EXXS3u7Um67Gf/n\nf2/BwOkAhs8EMHQmiP0jXuwf8QIALCYdVvXa0bfYjjWLHVjkaa3pZwvHcfjN7lG89OZJtJr1+Oqn\nNmJ5t61m6xFLdBD9z//8z9iyZQt27twJAIjHqaZQjFAsDYapbbZhPptWufGrd07j6Ck/Ll/TWBvd\nhHroGveIvpDJoMNVaz3YdXACA6N+9C9rr/WSFFXcWKhUEF1sc0dBdFFI4c5BHnv+OEwHE1iryCuq\nW7TQI7rWgVzfYgf2j3gxdCaID1MQrWpOmwkf3tCFD2/Il954gwkMnw1i+EwQQ2cCOHDciwPH80G1\n2ajD6t429C9vxxVr3Iom8liOw4uvjeDV98fQbjPioU9vqtsuYKKC6G9961t48803sWHDBtx88834\n9a9/jW984xsSL605hAtDJdSabbxstQu/euc0Pjjmbbggmu9JWcuR33P5yMZu7Do4gV0HJ5ouiA5G\nlJlWyBPa3NHmwvPULBNdpxujpMZnomsxaKVUcXNhQAjOGl29BtEXctnNcNnNQj27L5TE8Nl8lvrY\nmSAOnvDh4AkffvI/x7BqkR2b+zy4+Zplsq4pm2Pxr78exO6BKfS4LHjwzzaq8jO4XKKC6Pvvvx//\n+q//CgDYvn07tm/fLumimgU/VKLT2VLrpcxpSYcVDqsRh054kWNZ2SfIKUnoEa2yTDQALO+yocdt\nwf5jMwjH04pt7lKDYCwNqwLTCnkdTj4TTcFbqeKgFWUCCbedBq6UEoLoGgdyPW4LWs16DJ0JgOM4\nVe0fkYtQE22q7yD6Qu1tJlzT1iVMoPSFkvhgZAbvD01j5GwQx84G8ZNXj2FlTxuu6PPgijUeSe/U\nJtNZPPvyERw95cfKnjbc/6cb6v5CRVQQnUwmMT4+ju7uxuzYoJRkOj9UQm3t7UoxDINNq1x444Nz\nGDkbErISjcAvlHOo7yqYYRh8ZEM3XnxtBLuPTOLmKxfXekmK4DgOwaiyF5auNhO0GoamFl4gFFU2\nE21vNcCg01AmukDIhta4V7GGYbBmkR37js3AG0oKFzuNLCJkohtrH9CF2ttMuOmKRbjpikUIRFL4\n4NgMDpzwYeCkDyNjIfz01RGs7G3D5jUeXL7GXVXGOBJP4x9+fginJsLYsKId993eD6Ne3iFOShD1\nG+L3+3H99dejvb0dRmM+AGQYBq+99pqki2t0YRW3tyt12So33vjgHPaPeBsqiA6E1TOtcDZb1nfg\n339/HLsOTeCmzYuaIgPEX1gqVQ8NAFqNBq42E6b8FLyVUnqaKsMwcNvNmAkmmibjOR++JrrW5RwA\nsGZxPogeGg00RRAdEy5gav+zV4rDasQNl/fiM9vWYuSUF/uGZ7BveBrDZ4M4PhbCT18bwYoeGy5Z\n3o4eVyt63Ba47aay7hh6Qwl85/8exKQ/jg/1d+Jzt/Q1zEReUUH0D3/4QwD5kx6n0rYp9SAYLXTm\nUGF7u1JrFtthNmqxf2QGn7lhZcN8uPkj6q2JBvIfnpetdmPv4DROjIexsqet1kuSHf+eUKq9Ha/D\n2YJDJ3yIJTMNdwtXrHA8DZ1WA7NRuWyc227GOW+sMKlP3edFuQndOVRwu7tvcT55MnQmKAyEamSN\nUhMtlr01H1DfcHkvQrE0PhiexvvDMxg6E8CJc2Hh+3RaBp3OFnS7LPn/tVsKwbVZCJLPzUTxnZ8d\nRCCSwrarFuNTf7SiYWIIQGQQ3dvbi1deeQUnTpzAvffei9/97ne4/fbbpV5bw1N697tYOq0Glyxv\nx97BaYzNxLDIUz+N0OfjD6eg12lgMan3lt1HNnRj7+A0dh0cb44gOsJfWCp7dyDfocOHKX8Cy7ub\n84PzQuFYGm0WvaIfeKWbC5s+iE5koGEYtKjg/NRdqIsePtscddFRoSa69j/7WmuzGHDdZb247rJe\nhGNpnJoIY9wXw/hMLP//3jjGZs5vcazV5IPrLpcFg6f9iCWz+LPrVmLbVY1XlijqN2Tnzp2YnJzE\nwMAAvvCFL+Cll17C4OAgHn30UanX19D4IFrJW9diXboqnxHdPzLTMEF0IJJU3aCVC61d6kC7zYT3\nBqdxxw2rFM0K1kKQf08ovNlT6NARiNdlr1KpcRyHUCyDRR5l207xpQLTgQRWdDf+ReN8ovEMWs06\nVUyd0zBMvqRjeAYzwQQ8DvVuhpdCNJGF2ahtmJIDqdgsBmxc6cLGlS7hayzHwR9OYtybD6jHvTGc\n8+YD7HPeGDQMg3tuW9uwEy9FfSK//fbbePnll/GJT3wCVqsVP/rRj/Cxj32MgugKKb1xpxqXLM9P\nQ9p/zIuPf0jeFjhKyGRZhOMZdLvU3ZtSwzD4yMYu/Odbp/De0HTDjl/nCeUcCr8nhF7R1OYOAJBI\n5ZDNsYp3helwUIcOXiSeVtUQrr7FDuwbnsHQmWDDB9FU1lU+DcPA1WaGq82MDSuKX+e4/PRRrVaj\n+rvt1RB1maXVnr+jMp1OX/Q1srCQMK1Q/b9gLSYd+pY4MDoVEfor17OAyuuhS334ki4wTH48aqPj\nLywVz0Q7+Ew0BW9ASXs7hT/8+K4sZ6ejir6u2uRYFvFkVlU1uX2Fya5DZwI1Xon8oomMqn729Yhh\nGDhtpoYOoAGRQfS2bdvw4IMPIhQK4cc//jHuvPNO3HbbbVKvreHVS00079JV+Vs4/BjReib0iFZp\nZ45STpsJ/cvacXI8jLGZxg4uihsLlT0uTpsJOq2GMtEFSg9a4bW3meBqM2FwNIAcyyr62moSS2bB\nAbDWuL1dqW6XBdYWPYbPBBu6oUAqk0Mmy1IQTcoiKoj+q7/6K3zyk5/Etm3bMDExgfvvvx/33Xef\n1GtreKFoGkaDFiZDfdS5birUQR0YmanxSqrnD6u3R/Rstm7M15O9dXCixiuRVzCaVnRaIU+jYeBx\nmDEVSDR0gFCuWgXRDMNg/TIn4qksTk9EFH1tNVHLoJVSDMNgzWIHApFUQ/fyjjV5Zw5SGdFV86lU\nCul0GhzHwWCoj0yq2oRi6brJQgP5bN3STiuGzgQRT2ZqvZyqCO3tVDitcDYbV7pga9HjnSMTyGQb\nN0MXjKYUnVZYqsNhRiKVFQKYZlbLu2T9y5wAgKOn/Iq/tlpEC+U0tR60ciGhpGO0cUs6hM4cFEST\nMoj6pNqxYwf+5V/+BUuXLkV3dze+973v4bnnnpN6bQ0tx7KIxNKKb6Cq1qWrXMixHHYPTNV1xs4v\nlHPURyZap9Xgmv4uxJJZ7G+AOwGz+f/bu/PwKMur8ePfZyaTdbLv+0oSSEhCAGUXWbWggqIiblh9\n69bWam2ttkWsdf1Va1t932rdwB0QUFRcUFllkSUBQlhCEpYkJCH7ZE9mfn+EDEgRM2GS55nJ+VxX\nr7aQzBzmzDNz5p5zn9tisVBnUu+aCA/s2mR6tHzgroB2s65EqzBmbnCsP4oCewdyEd3cvRKtrfeH\n7nnRB47WqhxJ3xnoM6KFbXpVRH/77be89dZb3HzzzcyfP5+33nqLlStX2js2p9bQ1I4F8NHQ7uue\nGJ4Sgk5RePvLgzz2xvesyymhta1T7bBsVmNt53Ccx3+8taXDOTcYtrR10tre2e+bCrulxXUVCLsP\nV6ly/1qi1sZCAE93AwkRPhSW1jv8N169ZT1oRWMr0eGBnvh4uZJ/tMahF1HOR4poYYteFdGBgYE0\nNJxerWlvb8ff33mOg+4P3VMIHKmdA7o2lzx04zCGJwdzvLKRRZ8f4IGXNvHuVwcpq2r86RvQiOqG\nFlwN2j5o5WzhgV4MivIlr7iGSifsSVT7BM9B0X64u+rJPXzSaQuEnlKrJ7pbWlwAZouF/CPOu+J5\nPg3N2uuJhq6+6NQYP+pMbU47yUaKaGGLXlUQPj4+XHnllUyePBm9Xs/69esJDAy0zol+6qmn7Bqk\nM+oeb9ffxxvbw6AoPwZF+VFd38L63FLW5ZayZsdx1uw4zuBYfy4dFsmw5CBV+lp7qrq+FX9vd00f\ntHIuEzIjOHS8jo27y5g9IUHtcOyq1qTu4UMueh3p8QFsP1DJieoma3vHQFTf2IZep6j2ITM9IZCP\nNxWTV1TF8JRgVWJQk6l7Y6EGT21MifFnW34F+4/WWEcSOhMpooUtevUKOW3aNKZNm2YtQNLT01EU\nZUAcB2ovjnTQyo8J8HFn1vgEZo6JI+fQSb7ZeZz8IzXkH6nBz+jKJVmRTMiM0FzLRFt7J6bmdoc8\neXFESgjvfHWQjXvKuGpcPDqd81xvp8fbqXdNZCQGsf1AJbkFVQO6iK5rbMPHy1W11/P4cG883FzY\nW1Q9IN9XGppPbSzUYCF35ubCiVmRKkdjf1JEC1v0qoi++uqrMZlM1NXVWf9MURQiIpz7NDV7Or37\nXVsFZm+46HWMSA1hRGoIJScbWburhO/2lvHRxiJWbSomOzmIqSOjGRTlp3aoANSYHGdG9NncXPWM\nGhLK2pxS9hZVk5EYqHZIdlOn8ko0wNDEQBRg9+GTXHZxjGpxqMlisVDf2Ea4iqd56nU6hsT6s+Ng\nJRW1zdYTJQcKk0Z7oqHrQBxfL1frvGhn+4DTaJ3O4TitfkI9vXqWPPPMMyxZsgRfX1/rnymKwtdf\nf223wJzd6YLBcVeizyUyyIsbpyZzzSUJbNlXzjc7Sth+oJLtByoZHOvPlWPjSIlRt3/e0WZEn218\nZgRrc0rZkFvqVEW0tSdaxSLa18uVuHAfDh2vo6mlHc8BePRvS1snbR1m1fdrpCUEsONgJXlF1QOu\niG5obsfVoMPNoL2TgLvmRfuxLb/CKdueTM0dgKxEi57pVRG9Zs0a1q9fj5dX/188OYdOkpEUiM7B\nP/1aj/x24HaO83F3dWFiViSXnOrhXfVdMXlF1eQfqSE1xo9bZqYRptJK8Okjvx1vJRogLsyb6BAj\nuw6dpLymyWkKDC20cwBkJgVSVFbP3qJqLhocqmosarBO5lC5Hzctrmte9N7CaiZlR6kaS38zNbVp\nblPhmVJju/uia52wiG7HRa9o8gOM0J5e7fxKTU2ltbXV3rH0yD8/3M1bXxzA7OC75+sa21AUbW4c\nsSdFUUiO9uO312fxyM3DSY8PYP/RWh753008885O8o/076iklrYOvtlZAuCwxaeiKMwcE4fZYmHl\nhiK1w7Gb06cVqlxEJ3adzDlQR92pPZmjW7CfB6H+HuQfraGj03kPGDqXhuZ2jBqbEX2m0/Oine/Q\nlcbmdrw8DE7XpiL6Rq9Woq+66iqmT5/OoEGD0Ou7Pq0pisLixYvtGty5xIQYWZdTisUCt1yW4rAr\n0nWmNnw8XZ1qY9hPSYr05YHrszhcUsfn3x9jx/4K/t97u0iO8uWqcfGkxvr36QtXe4eZF5fvobC0\nntFpYaTEaKNHuzeGpwQTG+rN1n3lXH5xDDGh3mqHdMHqTK14expw0as71SUm1Iiv0ZXdh6swmy0D\n6hoF7RTRAGnxAXyzs4TC0nqSox33erVFa3snbe1mvDXYD90t1N8DX6Mr+52wL9rU3I6/g35LKfpf\nr4roJ598kj/+8Y+Eh4db/+xCL6LZs2djNHZNS4iOjubJJ5885889eMMw/vb+LtbnlgIWbrks1SEL\n6brGNkL9PdQOQxWJkb4szIpia24JH28qYvfhKv7f+zkMivLlynHxDOmDYrrTbOaVj/PYV1xDVlIQ\nt/3MMZ833XSKwtWXJPD3JbmsWF/Ifddmqh3SBas1aeOaUBSFzMRA1ueWUVRWT2Kk70//khM5XUSr\nX8Slxwfyzc4S9hZVD5giWsubCrspisLgGH+27CunrKqJCBU3odpTp9lMU2sH0e6ON7lJqKNXRbS3\ntzezZs2yWxDdrSFvvfXWT/6s0cPAg3OH8dz7OazPLcNsgfmXO1ZB1NLWQWt7p6obqLQgIcKH31yb\nSVFZPR9vLCL3cBXPvZ9DUqQvV09IIDXWPhsQLRYLiz8/wI6DlaTG+HH3rDTVVzvtIT0+gORoP3IP\nV1FwvI6kKMct9ppbtXVNZCQGsT63jNzDJwdcEW2dHKSBVrOUGD/0OoW8oiqudrK56D9Gq0d+ny0l\nxo8t+8rZf7TGaYroxhbZVChs06tKYvjw4fzqV79i6dKlrFixghUrVlzQsd/79++nubmZ22+/nVtv\nvZXc3Nzz/rzRw8CDN2QRG+bNxt1lvPFZPmaz4/RIO+pphX0lPtyH+67NZMH8EWQlBVFQUsez7+1i\n6dqCC+6FtFgsLP32MBt2lxEb5s2vrsnA4OIcG0YURbEWFh+uO+zQp+xpZVNhtyFx/rjoFXYXDLy+\n6PpTK6FaaOfwcHMhMdKX4rIGa3Hp7KwzojW8Eg1YFzn2H3WeUyVPj7fT9mMvtKNXRXRTUxNeXl7s\n3LmTbdu2sXXrVrZu3drrIDw8PLj99tt57bXXeOyxx3jwwQcxm89fPHm5G/jd3CziwrzZtOeEQxXS\n1pUejRQMWhEX5sOv52Twx1uGE+LnweotR3n23V1U1bX0+jY/23KEz7cdJSzAk/uvy8TDzblmfyZH\n+5GRGMiBY7XkFVerHU6vWT9YamQl2t3VhZQYf45WmKhpUGcTtVq01BMNXd+4WIB9Dvz8tkVDkzaP\n/D5biJ8H/t5uHDjav5vD+5L1sdf4BxihHb2qKJ5++mkAamtr8fO78D61uLg4YmNjrf/bz8+PyspK\nQkP/e7yUv78nLmesJD71y/EsePk7Nu09gZu7gV9fPwx9DzYCBQertxHrQGk9AJGhPqrGobYf+7cH\nB3uTkRLKi0tz2ZBTwl8Wfc9v5mZzUVqYTbe/enMxH64rJMjPgyfvGUewBvpt+8LtVw3lvufX8vGm\nYiaOjLWpn1wrz7+8Y10HN0WHa+eaGJMZQV5RNYXlJi5LCOrT+9LKvxmgua0TnU4hLjpAE5sqx2VH\nsXx9IYfLGpgxIanP7kczOdBVABAZpp1r4cdkJgezdsdxms0QG2afWNX8Nx8uNwEQGmTU/GPflwby\nv91WvSqi8/Pzuf/++2lubmbJkiXceOONvPDCC6Snp/cqiA8//JCDBw/y6KOPUl5ejslkIjg4+Jw/\nW1PT9F9/dt81GTy/JIdvth+jubmd22cMPu+Lf3CwN5WVDb2K1R6OlnYVDHosqsahpp7kYP70ZOLD\njLz71SEef30r00ZGM2diYo/6mbfll/PyR3l4exq4/9oM6Ohw2sfa21XHRYND2JZfwecbCxmRGtKj\n31P7OjjTse5rwqKdayIxtGtz0aacEoYn9d2hNlrKA0BVbTPengaqqkxqhwKAj6seo4eB7fnlVFTU\n98kkCC3loKyy63E3t2v/NSsupOsa2ZxTgufwC8+L2nkoPdG1wEWnWfOPfV9ROwdadL4PFb1q53j8\n8cd58cUX8ff3JzQ0lIULF7Jw4cLexsecOXOor69n3rx5PPDAAzz11FPodD0PzdPdhQeuyyIxwofN\neSd49dN9mm7tqG+UnuieUBSFiVmR/PnWEYQFePLl98d46u2dVNY2n/f39hRW8Z9V+3B30/PAdVlO\ndxjAucwan4BOUVixoVDTz/0fc7onWhvtHAAh/p6EB3qy70g17R2daofTb+qa2jSxqbCbTqcwJM6f\nmoZWyqr+exHF2ZiaunuitZODH5N6akzofieZF21qOTUZReOtNEI7elVEt7S0kJR0+mu1cePG0dbW\n1usgDAYDzz33HO+++y7vvPMOWVlZNt+Gp7sLD1yfRWKkD1vyynn1k310/kRftVpO939q/0VSC6JD\njCyYP4LRaaEUldWz8I3v2XGg8pw/e+h4LS8t34NOp/DrazLs9hWj1oUFeDIuI4yyqiY2551QOxyb\naW1jYbfMxCDa2s1OtXnqfFrbOmlt69RMP3S3tPiu0wvzipy/L7qh2XH6coP9PAjwcePA0VqHPwAN\nTk9GkSJa9FSvimg/Pz/y8/Ot///jjz/G11f9MVAebl0r0kmRvmzZV86rn+RrspCudfIjv/uCu6sL\nd8wcwm0/S6Wz08xLK/bwzlcHae84nd+j5Q28sHQ3HZ0W7p6VTkqMfUbkOYorx8bjotexckPRDx4X\nR1CnkdMKz5aR2NXGkVtwUuVI+kddk7Y2FXazHgE+AIpoU1M7CuDlrv1N0IqikBLtj6m5ndLKRrXD\nuWCnp3No/7EX2mBTEb1ixQoAHn30UR577DEKCgoYPnw4b775Jo899lifBGgrDzcX7r8uk6QoX7bu\nK+c/q7S3Il1vasPNoMfdVS5UWyiKwviMCP586wgigrz4esdxnnx7BxU1TZRXN/H8klyaWzu4feZg\nspL6diOYFgX4uDMpO5Kq+pZThxE5jlqNnFZ4tqQoXzzcXNh9uMppJhCcj1ZbzQJ83IkI8uLA0RqH\n+4Boq4bmdjzdXdDb0NKoptRY52npMDXLnGhhG5uu0kWLFgEQGxvL+++/z9atW1m7di3Lly8nIUE7\ng/A93Fy4/9pMBkX5si2/gr8vyaWxRTszRusa26SV4wJEBhv58y0jGDc0nCMnGlj4xvc8+94u6hvb\nuHFqMqNtnOLhTH42OhY3Vz2rviumtc1x+nhrG9s0M97uTC56HenxAZysa6F0APTjam283ZnS4gJo\n6zBTcNy5W2tMTW14O0A/dLfUU9/4HXCClidTc/e3AFJEi565oI+6Xl5eeHtrs+e0e0U6KymIfcU1\n/HXRdsqq1P+6yWy2UN/UprmVHkfj5qrn5zMGc8fMwVgsUNPQyqxx8UweHqV2aKry8XRl+sho6hvb\nWLPjmNrh9EhzawetbZ2a2lR4pu6Wjt0DoKVDy0V0esKplg4nnhdttlgwNXdo/qCVMwX7eRDo487+\nozUO3xfdeOpbAC2MdhSOwaZ+goKCAiZNmnTOv1MUha+//touQdmLu6sLv7x6KMvXF/LZliP8dfEO\n7r4qjUtVnIHY0NSGxaK9r0sd1Zj0cJIifSk52TggWzjOZdrIGL7ecZzVW44ycVik5ldVtH740NDE\nQBQg93AVl4+KVTucPqXlIjo52g8XvUJeYTXXTlQ7mr7R1NKB2WLR/EErZxsc68/GPWWs3nKEGaPj\n1A6n10zN7XJaobCJTUV0bGwsr7zyikP1Bup0CnMmJhIZ5MUbq/fz96W5NLR2Mio1uE/mjf6U0wWD\nNlfdHFGIvych/p5qh6EZnu4u/Gx0LEu/PcznW49yzSWJaod0XrUN2htvdyYfT1cSInwoOF5HY0u7\n5j+UXIjujYVaGnHXzc2gZ1CUH/lHarpa4jRY6F8okwNN5jjTlWPjyD9SzYfrCrFYYOaYOLVDspnF\nYsHU3E6gr7vaoQgHYlM7h8FgIDIykqioqHP+R8tGp4fx0LxheHu68p+P9rLo8/10dPb/BpVakzY3\n7gjnMjk7Cj+jK19tP0adSdvHVmt1vN2ZMpKCMFss7C103lYC0PZKNJxu6XDWI8BNTd0j1rT5+P+Y\nID8Pfj8vm0AfN5avL2TVpiK1Q7JZS1snnWaLbCoUNrGpiM7Ozu6rOPpFYqQvC24dQUKkL+tzy/jb\ne7uob+r9fOveqJPxdqIfuBr0XDE2nrZ2M598d0TtcM6r+4OlVleiATK7+6IPO3dfdH1jG4qi3ekE\n1lF3TvphpqH7oBWNPv7nE2wtpN1ZsaGIjx2skJYZ0aI3bCqiFyxY0Fdx9JsAH3eeuXccI1KCOXi8\njr8u2s7xiv473rZe2jlEPxmfEU6wnztrc0o4+ROnPKpJi6cVni06xIi/txt7Cqsd8kTInqpv7JoM\nodWNVVEhRny8XMkrrnaotsKecqSDVs4l2M+Dh+YNI8jXnZUbivhoo+MU0lJEi95wjEGUdubueviD\nXgAAIABJREFU5sJds9K5alw8J+taeOLtHew6dO4T8OxN2jlEf3HR65g1PoFOs4WPNLwq1L1PQMvt\nHIqikJEYiKm5ncLSerXD6TP1TW34aLAfuptOUUiL86e+sY3jTnC4x9kctSf6TF2tHV2F9Ecbi1i5\noVDtkHrk9EErjvvYi/43IIto6HoxvmpcPPfMSsditvDih3v4dHNxn69uaH0SgXAuFw8JJSrYi+/2\nnqDkpDaLju6NhVrtw+1mPb3QSVs62js6aW7txNdL20VEenxXHpzxCPDT7RzavhZ+SpCvBw/NyybI\n152PNxWzckOh5r85kJVo0RsDtojuNiI1hIdvGo6ftxsfrivkP5/so72j7w6pqDO1oihoerVHOA+d\nojB7QgIWC5pdEaptbNPkaYVnGxIbgIteR25Bldqh9Ik6jW8q7DYkrutwj71FzpeH7o2FjrwS3S3Q\n150/3JhNsF9XIb1iQ5GmC2kpokVvaPtdq5/Ehnnz51tHkBDhw5a8cp5YvIPyavufTrYtv5wjJxrw\nM7pptudQOJ+spCASI3zYcaCS/CPaO5q31tSq6X7obm6uelJj/TheaaKqrkXtcOyuvrGriNB6Ee1r\ndCM6xMjBY3W0tjvOqZw90eBkhVyAjzsPzcsmxM+DT74rZvl67a5IW4tod5sm/4oBToroU/yMbjw0\nbxgTMsM5WmFi4Zvfs2XfCbvcdntHJ4u/OMC/P8pDURTmTRlkl9sVoicURWHe1GR0isIbn+XT0tah\ndkhW3acVOkp7U2Zi14E+uwudbxW0e3KQ1otogPT4ADo6zRw65vhHTZ+poakdF72Cu6te7VDsJsDH\nnd/PG0aIvwefbj6i2UK6sbnrdVF6ooUtpIg+g8FFz/zLB/OLK4YA8MrH+3hz9X7aLmC140R1E39d\nvIO1u0qICvZiwfwRDE8JsVfIQvRIfLgPl4+K4WRdC0u/Pax2OFanNxVqfyUazhh154RHgFsnBzlA\nEZ0Wf2rUnZP1RZuau6ajqHEQWF/qXpEOPVVIL1t3WHOFtKnFub4FEP1DiuhzGJUWxqPzRxIdYmR9\nbimPL95OWZXtm7K25J3gsTe/51iFiUuyIvjTLSMID/Tqg4iF+GlXjo0nMtiLb3eVaOawijoHOGjl\nTEF+HkQEeZF/pOaCPlxrkdYPWjnToChfXF10Tre5sKGp3WmLOH9vN34/L5vQAE9WbznK0rXaKqSl\nJ1r0hhTRPyIswJM/3TKcS7MjKals5LE3v2fTnrIe/W5reydvrs7nlVX7ALjzyjRuvSwVV4PzfEUn\nHI/BRccdM4ZY2zqaTq28qKnGAWZEny0zMZC2DjP7j2qvv/xCWHuiHWDTs8FFT3KMHyUnG6lp0PaJ\nnD3V3mGmpa3TqYs4f283fn/DMMICPPl861H+sWy3ZvJnam7H1UUn79PCJlJEn4fBRc/N01K4e1Y6\nep3Ca5/m89qn+2ht+/EVqNKTjfx18XbW55YRE2pk4fyRXDwktB+jFuLHxYZ5M2N0LFX1rby+Kk/t\ncKht6G4hcJwi2jrqzsmmdNQ1OU47BzjfqDtnmBHdE/7eXfuPhsT5s/twFX96dSsbdpequipdVddC\nRU0T3g7wAVJoixTRPTAyNYRH548kNsybTXtO8Pji7ZRU/vcph5v2lPGXRd9TUtnIpOxI/njzcEID\nPFWIWIgfd8XYOKKCjXyx5YjqY8K6N7P5eTvOm1dSlC+ebi7sPnxSU19HX6j6xjYUwOggRdzpvmjn\n+DDTPSPa28FnRPeEr9GN316fxS2XpWCxWHjjs/38fWkulTX9f7Jqc2sHLyzLpbm1k2kXRff7/QvH\nJkV0D4X4e/LITcOZMiKK0pONPL5oOxtyuz49t7Z18ton+3jt03z0Oh33zErnpmkpGFzkayGhPS56\nHXfMHIxep/DGZ/tpalFvWkf3CZ7+DtTOodfpSE8IoKq+lRInOjWvvrENo6cBvc4x3hYiAj3x93Zj\nX3ENZif4MGPtyXWQDzEXSlEUJmZF8vjtF5MWH8Dewmru/X/fsD63/1alOzrN/O/KvdaFrynDo/rl\nfoXzcIxXS40wuOiYNyWZX149FBe9jjdW7+flj/P4y6Lv2bT3BPHh3jx620hGpMr0DaFtMaHeXD81\nhZqGVj745pBqcXRvLHSEzWxnykzqGnXnTKcX1je2OVQeFEUhLT4AU3M7R8sb1A7ngg2Udo6zBfq6\n88B1mdx2eSqKAm+u3s/zH+Rwsq5vV6UtFgtvf3mQvKJqMhIDuWHKIKebiiL6nhTRvZCdHMzC20aS\nEOHDtvwKyqqamDoimodvGk6In4fa4QnRI9dOHkRMqJENu8vYfVidr8RrTI5xWuHZhiYEoiio9rjZ\nW3uHmabWDofYVHim9FMtHc7QF93QNHCnQyiKwvjMCF763SQyEgPJK67hz69tY+2ukj5blV699Sjr\nc0uJCTVy11VpDvMNjNAWedb0UpCfB3+4MZu5k5K4/7pMbpgyyOEKATGwueh13D5jCHqdwpur82lU\nYVpHnanVoTYVdjN6GEiM8KWgpM66gujIGhxsU2G3IXEBKMDWfeV0dJrVDueCnO6JHnhFdLcgPw/u\nm5PB7TMGo1cUFn9xgL+9n0NlrX1Xpbfll7Ns7WH8vd24b04m7q5ySqHoHan6LoCLXse0i2IYmhCo\ndihC9Ep0iJErx8VTa2rj/TX929bR0tZBS1unQ20qPFNmUiAWC2zea5+TTdVU50Azos9k9DAwJj2M\n45WNrN56VO1wLsjpdg7HyoG9KYrC2KHhPH7HxWQmBpJ/pIYFr23j6x3H7dL7XnC8jlc/ycfNVc99\nczLw93a8D/FCO6SIFmKA+9momK7JM3tPkHOo/3p8605tKvRzwJVogLFDw/F0c2H5+kK7r5T1N0c6\naOVsc6cMws/oyscbizhW8d9TkxyFtZ1jgPVE/xh/bzd+PSeD/5k5BBe9wjtfHeTJt3ZwuLSu17dZ\nUdPEPz/cjdls4Z5Z6cSEetsxYjEQSREtxACn1+m4fcZgXPQKi77Y32/tCbUmxxtvdyY/oxs3Tk2m\ntb2TNz7Ld+gJEdYi2gFXQb3cDcy/PJVOs4XXPt3nsG0dcmLef1MUhdHpYTx+x8VcNDiEwtJ6nli8\ng1c/2Wd9/egpU3M7f1+6G1NzOzdNS5ZvkIVdSBEthCAq2MhV4+KpM7Xx3pqD/XKf3ePtHLEnutuo\ntFCGDQpi/9Favt1ZonY4vVbf5Lgr0QAZiUGMywjnaLmJzzYfUTucXmloasfDzUX21pyDn9GNu65K\n5w83ZhMTYuS7vSd4+JUtfLq5mPaOHz/8rFt7h5kXl++hvLqJyy6OYeKwyL4PWgwIcrUKIQC47OIY\n4sN92JxXzs6DlX1+f7UOeOT32RRF4ZbpKXi5u7B0bQHlNU1qh9QrdSbH3Fh4prmTBuHv7caq74od\ncuRdQ3PbgN5U2BPJ0X4smD+SWy9LwaDX8eG6Qv706lZ2Haz80SkeFouFN1fnc/BYLSNSgpkzMbGf\noxbOTIpoIQRwZluHjsVfHOjztg5Hb+fo5mt048ZpybS1m3njU8ds63D0lWgAT3cXbjvV1vHqJ/kO\n1dZhsVgwNbVLP3QP6HQKl2RF8vSdo5g2Mprq+lb+tXwPz32Qc86ThD/aWMTmvHISI3y4Y+YQdDIL\nWtiRFNFCCKuIIC9mT4invrGNd77q27YOR99YeKaLB4cyPDmYg8fr+Hr7cbXDsVl3T7SjH/SRnhDI\nhMwIjleaWLWpWO1weqylrZNOs0VWom3g6W5g7uRB/OX2i0hPCGBfcQ2Pvv4973x50LoAsGlPGR9v\nKibI151fXZOBq0FOERb2JUW0EOIHpo+MITHCh637ylmb03d9vt0r0b5Gx1397KYoCjdPT8HoYeDD\ndYc5Ue1YbR11jW0YPRzv0JtzuX5SEoE+bny6+QhHTjhGW0f3jGhZibZdeKAX91+byX1zMgj2c+fr\nncd5+OXNLF1bwJur9+Pp5sJvrs106G9ZhHY5/iumEMKudDqFO64YgtHDwFufH2Bbfnmf3E+tyXkK\nN+hqhbh5egptHWZe/zQfs9lx2joc7cjv8/Fwc2H+zwZjtlh49dN9tHdov62jQWZEXxBFUchMCuLx\nOy7mukuT6DRbWL2la274L68eSkSQl8oRCmflHO9eQgi7CvX35IHrM3Fz1fOfVfvYW2j/461rTa0O\nvanwXEamhjAiNYSCkjq+/P6Y2uH0SEenmcaWDnycaBU0LS6AicMiKals5ONNRWqH85NMp2ZESzvH\nhXHR67js4hieunM0l18cw71XDyU11l/tsIQTkyJaCHFOcWE+3DcnA0VReHHFHgqO9/6Qg7PtLapy\n6NMKz+emacl4expYvr6QsqpGtcP5Sd2HfDjLSnS3aycmEuTrzmdbjlBUVq92OOdlPWhFimi78PVy\n5dpLk8hKClI7FOHkpIgWQvyolBh/7pmVTkeHhReW5l7wiXAWi4U124/xwpLduOgVJmdH2SlS7fDx\ndOXmaSl0dJp5zQHaOhz5tMLz8XBz4bafDcZigdc+ze/RPGG1yJHfQjgmKaKFEOeVNSiI22cMpqm1\ng+c/yKGil7OQOzrNLP7iAO+uOYTR08Dv52WT6aQrRSNSQ7h4SCiFpfV8se2o2uGcV12j48+I/jGD\nY/2ZnB1F6clGVm7UbltHQ7NsLBTCEUkRLYT4SaPTw5g3ZRB1jW387f0cahpsO3K3oamN597PYV1O\nKTEhRv58ywiSIn37KFptuHFqMj5erqzYUEjJSe22dTjykd89MWdiIsF+7ny+9SiHS+zXkmRPDdIT\nLYRDkiJaCNEjU0ZEM2tcPCfrWnj+g5weH8ZyvNLE44u2c+BYLcNTgnn4puEE+rr3cbTqM3oYuHV6\nCh2dFl77ZB+dZm1OiXCGg1bOx81Vz8/PaOtoa9deW4d1Y6GsRAvhUKSIFkL02BVj45gyIoqSk428\nsDSXlraO8/58TsFJnnhrByfrWrhybBx3z0rHzXXgHHgwLDmY0WmhFJ9o4POt2mzrcNae6DOlxPgz\nZUQUJ6qbWLlBe20dpuZ2dIqCh5uL2qEIIWwgRbQQoscURWHu5EGMTgujsLSeF5fvOeccXovFwuot\nR/jXst1YzBbuuiqNWeMTBuSRuzdMScbX6MrKDUUcv8CNmX2h3ol7os90zSWJhPh78MW2o3adNGMP\nDU1tGD0NKAPw+hDCkUkRLYSwiU5RuO1nqWQlBbGvuIZXPs77QatCe0cnr36Sz9K1h/HzduMPN2Vz\n0eBQFSNWl9HDwK2XpdJptvDap/l0dGqrraPOeuS3cxfRbgY9t88YDMArq/Js7uvvS6bmdmnlEMIB\nSREthLCZi17H3bPSSI3xY8fBShZ9fgCLxUKdqZVn393F5rwTxIf78OdbRxAX5qN2uKrLSgpibHoY\nR8obWLGhUO1wfqC+sQ1PNxcMLs7/djAoyo+rTvX1P/PuTqrrW9QOiU5z12E3sqlQCMejiQYss9nM\nwoULOXjwIAaDgSeeeIKYmBi1wxJCnIfBRc+vrsng2fd2sXF3GRazhX1HaqhpaGVUWijzL0vF1TBw\n+p9/yg1TBnGopI7VW44S5u/J+MwItUMCulaifY3OvQp9pivGxtFhNvPJd0d49t1d/H7eMIKDvVWL\nx9Tcta9ADloRwvFoYulhzZo1tLe38/777/Pggw/y9NNPqx2SEKIHPNxcuP+6TMIDPdm09wS1Da1c\nc0kC/zNziBTQZ/F0N3D/tZkYPQws/uIAecXVaofUtQra3O604+3ORVEUZo9P4IoxcVTUNvPMuzt7\nPfvcHkxNA6OdRghnpIkieufOnYwfPx6AzMxM9u7dq3JEQoie8vF05bfXZzFqSCi/uiaDGaPjZIPU\njwgN8OSXVw9FUeB/V+zheKW6Gw0bmtqx4NyTOc5FURRmT0jgyrFxVNa28Mj/bqKqTp3WjvKaZgC8\nZCVaCIejiSLaZDJhNBqt/1+v12PW6ExVIcR/C/Bx5xdXppE1yDlPILSn5Gg/fj5jMM2tnfxjaa6q\nfbkDYbzd+cwan8BV4+Ipr27imXd3crKuuV/vv6GpjXe+OoiiQGZiYL/etxDiwmm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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -140,15 +116,13 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(9, 8))\n", - "ax.plot_date(time_vals, data[var_name], 'r', linewidth=2, tz=tz)\n", - "ax.set_ylabel(fm.var_stdnames[var_name] + ' (%s)' % fm.var_units[var_name])\n", - "ax.set_xlabel('Forecast Time ('+tz+')')" + "data['temperature'].plot()\n", + "plt.ylabel(fm.var_stdnames['temperature'] + ' (%s)' % fm.var_units['temperature'])" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 15, "metadata": { "collapsed": true }, @@ -159,7 +133,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 16, "metadata": { "collapsed": true }, @@ -170,7 +144,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 27, "metadata": { "collapsed": false }, @@ -178,18 +152,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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mV2gPr21dzmtbl1NoFWH1GEw0Xp7V9yQiIiIiIpmR12EnVdlJdGQbUFkCNL/X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BI0aM4OOPo2uWP/3003Yf/3W5ubnU1tZSUxP9wvZXv/oV69ata7l/2LBhfPjh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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -197,13 +171,12 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name])\n", - "ax.set_xlabel('Forecast Time (UTC)')\n", - "ax.set_title('GFS 0.5 deg')\n", + "plt.ylabel('Cloud cover' + ' %')\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", + "plt.title('GFS 0.5 deg')\n", "for varname in cloud_vars:\n", - " ax.plot_date(time_vals, data[varname], fmt='-', linewidth=2, label=varname, tz=tz)\n", - "ax.legend(bbox_to_anchor=(1.4,1.1)) " + " data[varname].plot()\n", + "plt.legend(bbox_to_anchor=(1.18,1.0))" ] }, { @@ -310,7 +283,7 @@ " \n", "ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name])\n", "ax.set_xlabel('Forecast Time (UTC)')\n", - "ax.legend(bbox_to_anchor=(1.4,1.1))\n", + "\n", "ax.set_title('GFS 0.25 deg')" ] }, @@ -424,29 +397,29 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "fm = NDFD()" + "fm = forecast.NDFD()" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(latitude, longitude, timerange, a_point)" + "data = fm.get_query_data(latitude, longitude, timerange)" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 5, "metadata": { "collapsed": true }, @@ -457,7 +430,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 6, "metadata": { "collapsed": true }, @@ -470,7 +443,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 7, "metadata": { "collapsed": false }, @@ -481,15 +454,15 @@ "(0, 100)" ] }, - "execution_count": 26, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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IiIgEQakhLCkpiTFjxnDvvffy+eefs3v3bux2O3/4wx+YOnUqiYmJoawzbJhaEyYiIiJB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\nRss+f7mR4Oe6n3sMh8OYpsna2hput9tSOzQ0ZBm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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -506,7 +479,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 8, "metadata": { "collapsed": false }, @@ -514,18 +487,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 27, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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rCskDDkR77VWin39GawezofwgMi8dcO2T44BrYM+p4VLqalHicYziEigocOw+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\nFLhEREREAkyBS0RERCTAFLhEREREAkyBS0RERCTAFLhEREREAkyBS0R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Ux7K13j3htykUrv0LEhCX8vueoZTe93AY7ok0OdVvupEWvTsnfsyifGjXDm3ZMoo2rYKe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\nbIDVcUKSw983/PDDDyktLWXZsmV88803TJo0ieeff97fMc4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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -541,7 +514,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 9, "metadata": { "collapsed": false }, @@ -549,18 +522,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 28, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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8LzZbJaJ2UNaVQ9n2BYxueUicNFp0nIzU7MjXlClT2nzw5557Dm+88QbC4fBR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\nIiIiInKQq/t8EZE7ffXVVxg3bhwGDBhQ7+Pz5s3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rDwDFI188Uo5qMIYvIiJRNA3KqZMAon/NFwAEWrWGlpwM5fQpyMePiS6HSBiGLyIiQeRz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\nMD78R955PIifOAG1nvk1JI8H7jFjkfP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pUyd2795NRkYGv/zyC3a7nSeffJLY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\ngg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -576,29 +549,29 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 12, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "fm = RAP()" + "fm = forecast.RAP()" ] }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 14, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(latitude, longitude, timerange, a_point)" + "data = fm.get_query_data(latitude, longitude, timerange)" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 15, "metadata": { "collapsed": true }, @@ -609,7 +582,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 16, "metadata": { "collapsed": false }, @@ -620,7 +593,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 17, "metadata": { "collapsed": false }, @@ -628,18 +601,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 33, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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qqsjMzARgypQpFBUVtXvMgoICrr/+egAmT57M5MmTeeaZZwDIy8tj6tSpAFitViZOnEhu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1vZr/w/xlHRtq5Ng+Hj/3+uuv65NPPpHD4VBycrLGjRunX/ziF/r000919OhRXX755Vq1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\nAMpNFcSm9pMkHf7iv3KXlVmcpmYM6t9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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -657,7 +630,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 7, "metadata": { "collapsed": false }, @@ -666,23 +639,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:520: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", + "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:517: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", " available.')\n", "C:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\siphon\\catalog.py:61: UserWarning: URL http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml returned HTML. Changing to: http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml\n", - " new_url))\n" - ] - }, - { - "ename": "ParseError", - "evalue": "mismatched tag: line 16, column 4 ()", - "output_type": "error", - "traceback": [ - "\u001b[1;36m File \u001b[1;32m\"\"\u001b[1;36m, line \u001b[1;32munknown\u001b[0m\n\u001b[1;31mParseError\u001b[0m\u001b[1;31m:\u001b[0m mismatched tag: line 16, column 4\n" + " new_url))\n", + "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:134: UserWarning: GSD HRRR CONUS 3km surface is unavailable.\n", + " warnings.warn(self.model_name + ' is unavailable.')\n" ] } ], "source": [ - "fm = HRRR_ESRL()" + "fm = forecast.HRRR_ESRL()" ] }, { diff --git a/docs/tutorials/notebooks/forecast_to_power.ipynb b/docs/tutorials/notebooks/forecast_to_power.ipynb index 1ad3874324..684be099b9 100644 --- a/docs/tutorials/notebooks/forecast_to_power.ipynb +++ b/docs/tutorials/notebooks/forecast_to_power.ipynb @@ -1,7 +1,7 @@ { "cells": [ { - "cell_type": "raw", + "cell_type": "markdown", "metadata": {}, "source": [ "# Forecast to Power Tutorial\n", @@ -29,7 +29,7 @@ ] }, { - "cell_type": "raw", + "cell_type": "markdown", "metadata": {}, "source": [ "## Setup" @@ -77,7 +77,7 @@ ] }, { - "cell_type": "raw", + "cell_type": "markdown", "metadata": {}, "source": [ "## Load Forecast data" @@ -102,8 +102,8 @@ "source": [ "# Choose a location.\n", "# Tucson, AZ\n", - "latitude = [32.2]\n", - "longitude = [-110.9]\n", + "latitude = 32.2\n", + "longitude = -110.9\n", "tz = 'US/Arizona'" ] }, @@ -120,23 +120,15 @@ "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Tucson: latitude=32.2, longitude=-110.9, tz=US/Arizona, altitude=100\n" - ] - } - ], + "outputs": [], "source": [ "surface_tilt = 30\n", "surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention\n", "albedo = 0.2\n", "\n", "# create pvlib Location object based on meta data\n", - "a_point = pvlib.location.Location(latitude[0], longitude[0], name='Tucson', tz=tz)\n", - "print(a_point)" + "#a_point = pvlib.location.Location(latitude, longitude, name='Tucson', tz=tz)\n", + "#print(a_point)" ] }, { @@ -173,18 +165,18 @@ "outputs": [], "source": [ "# Retrieve data\n", - "forecast_data = fm.get_query_data(latitude, longitude, timerange, a_point)" + "forecast_data = fm.get_query_data(latitude, longitude, timerange)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "solpos = pvlib.solarposition.get_solarposition(fm.time, a_point)" + "solpos = pvlib.solarposition.get_solarposition(fm.time, fm.location)" ] }, { @@ -196,7 +188,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": { "collapsed": false }, @@ -223,69 +215,69 @@ " \n", " \n", " \n", - " 2015-12-11 20:00:00-07:00\n", - " 14.350006\n", - " 4.831821\n", - " NaN\n", - " 96\n", - " 0\n", - " 95\n", - " 35\n", - " NaN\n", + " 2015-12-12 17:00:00-07:00\n", + " 8.550018\n", + " 7.968400\n", " NaN\n", + " 79\n", + " 78\n", + " 13\n", " 0\n", + " 2.409658e-10\n", + " 19.985745\n", + " 310\n", " \n", " \n", - " 2015-12-11 23:00:00-07:00\n", - " 11.950012\n", - " 4.732230\n", + " 2015-12-12 20:00:00-07:00\n", + " 5.550018\n", + " 4.374712\n", " NaN\n", - " 79\n", - " 18\n", - " 63\n", - " 17\n", + " 21\n", + " 23\n", + " 0\n", + " 0\n", " NaN\n", " NaN\n", " 0\n", " \n", " \n", - " 2015-12-12 02:00:00-07:00\n", - " 8.950012\n", - " 7.086353\n", + " 2015-12-12 23:00:00-07:00\n", + " 4.350006\n", + " 4.158702\n", " NaN\n", - " 83\n", - " 83\n", - " 17\n", + " 11\n", + " 12\n", + " 0\n", " 0\n", " NaN\n", " NaN\n", " 0\n", " \n", " \n", - " 2015-12-12 05:00:00-07:00\n", - " 8.550018\n", - " 0.939202\n", + " 2015-12-13 02:00:00-07:00\n", + " 3.350006\n", + " 4.352023\n", " NaN\n", - " 90\n", - " 82\n", - " 53\n", + " 0\n", + " 0\n", + " 0\n", " 0\n", " NaN\n", " NaN\n", " 0\n", " \n", " \n", - " 2015-12-12 08:00:00-07:00\n", - " 6.850006\n", - " 3.749733\n", + " 2015-12-13 05:00:00-07:00\n", + " 2.450012\n", + " 4.201928\n", + " NaN\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " NaN\n", " NaN\n", - " 10\n", - " 9\n", - " 1\n", " 0\n", - " 75.644939\n", - " 49.829348\n", - " 10\n", " \n", " \n", "\n", @@ -293,28 +285,28 @@ ], "text/plain": [ " temperature wind_speed pressure total_clouds \\\n", - "2015-12-11 20:00:00-07:00 14.350006 4.831821 NaN 96 \n", - "2015-12-11 23:00:00-07:00 11.950012 4.732230 NaN 79 \n", - "2015-12-12 02:00:00-07:00 8.950012 7.086353 NaN 83 \n", - "2015-12-12 05:00:00-07:00 8.550018 0.939202 NaN 90 \n", - "2015-12-12 08:00:00-07:00 6.850006 3.749733 NaN 10 \n", + "2015-12-12 17:00:00-07:00 8.550018 7.968400 NaN 79 \n", + "2015-12-12 20:00:00-07:00 5.550018 4.374712 NaN 21 \n", + "2015-12-12 23:00:00-07:00 4.350006 4.158702 NaN 11 \n", + "2015-12-13 02:00:00-07:00 3.350006 4.352023 NaN 0 \n", + "2015-12-13 05:00:00-07:00 2.450012 4.201928 NaN 0 \n", "\n", - " low_clouds mid_clouds high_clouds dni \\\n", - "2015-12-11 20:00:00-07:00 0 95 35 NaN \n", - "2015-12-11 23:00:00-07:00 18 63 17 NaN \n", - "2015-12-12 02:00:00-07:00 83 17 0 NaN \n", - "2015-12-12 05:00:00-07:00 82 53 0 NaN \n", - "2015-12-12 08:00:00-07:00 9 1 0 75.644939 \n", + " low_clouds mid_clouds high_clouds dni \\\n", + "2015-12-12 17:00:00-07:00 78 13 0 2.409658e-10 \n", + "2015-12-12 20:00:00-07:00 23 0 0 NaN \n", + "2015-12-12 23:00:00-07:00 12 0 0 NaN \n", + "2015-12-13 02:00:00-07:00 0 0 0 NaN \n", + "2015-12-13 05:00:00-07:00 0 0 0 NaN \n", "\n", " dhi ghi \n", - "2015-12-11 20:00:00-07:00 NaN 0 \n", - "2015-12-11 23:00:00-07:00 NaN 0 \n", - "2015-12-12 02:00:00-07:00 NaN 0 \n", - "2015-12-12 05:00:00-07:00 NaN 0 \n", - "2015-12-12 08:00:00-07:00 49.829348 10 " + "2015-12-12 17:00:00-07:00 19.985745 310 \n", + "2015-12-12 20:00:00-07:00 NaN 0 \n", + "2015-12-12 23:00:00-07:00 NaN 0 \n", + "2015-12-13 02:00:00-07:00 NaN 0 \n", + "2015-12-13 05:00:00-07:00 NaN 0 " ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -332,7 +324,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": { "collapsed": false }, @@ -340,18 +332,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Sx3o92UkpUs8HlS6RTGMxka54OoQgCGh1WzAbiBU1CYKAZCr7s1eqqRBYqome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OXZzDN388CKfDgkffvxcdIfcNX9Ne/jNqJlXHufE4LkwksHdLG9atMJ81HHCC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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -371,7 +363,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -379,18 +371,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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wZKFdnT6PgEp9cJbZ1LZ0urJji4YVTM7kYJpm25sqe5kbE/9mWvrkD3zgA1i9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SoOY1ty+tq6SKB4P9xV9bMxiDTxB4D7QYBtpUUXFrapnDR6sHY/D7BB6IpK5QqVEKYOQH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\nHiQHSpqZn8cArz6SU6lsLC1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sMynG5k11yWsapLSC1YMxy3+3rjvp05/+NADgne98J77z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\nUAITGQ82M5MqcqANpaz2XCov3csmgK4bjE6laGsM4rJBUTDI2VrOTt0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54sSJ3H777SxdupSvv/4ajUbD1KlTGTRokNfLIxpq1TEdPEDWurVo68fT4MGH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\nrxDVf4BPFjEoD5EFdaE4HGT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/8s9/PkVYWChvvz2fV155nv3795Kenl7kbzNt2mQ+eGY2\nENiz4T1Z6DsrJqepaSRJQhMREdAdmbwzp7EcPUJ4h461xiO9OIEewHlW6qR2jshAoVGZAA4cTPt+\nx3b5smtSZy3wSC8NtcGALfkSitNZJb/e2o7idHo80mOH1w6P9OJ4Jv0H8LvZuG0rztwcYkeOQh1e\nfTlNwAXRMU2Glps1vpL0GcatP9Pwxaley4qcPn2KQ4f2c/ToYQCsVitqtZrISFdP88YbS1+LXVFc\n/8bF1eezzz4hJCQEi8WMXl+67VB2djZ6vZ64uDgAuna9kY8+ep9+/W6mdevWqFQq8nfuQCepiB15\nZ6nLV16+nEzLlq0ICwsruEZ3du36lf79B1T5+7dr1x4Ag8FAixatAIiIiMBms3HmzGkOHtzn+dvI\nsow7XAjU3q49Ix3T3j2EJLQgvFNnfxenTLQRBvLTAzfzk7X+B6D2udMUJtAzP/mnTro80rveSEiz\n5v4uTqkEg91j5g/f1yqP9NIo3KHURNa+LG11yd39G/a0NKIG3YomOsbfxSmVQJeXKQ4HWetdcpqY\n27wjpwm4IPp6uH8k3syCtmjRggYNGnD//Q9jtVr5/PNP2Lx5A1lZmcTExHLs2BFuvvkWdLoQMjLS\nAUhNTSEnxwjAf/7zBnPnvkxCQgs++WQBqakpAKhUKmRZ9twnOjoas9lMRkY69erFsX//7zRvnlCw\nV0KRZXL37AJJIqJHr1LL2qhRE86ePUt+fj6hoaHs27e30DXKR5IknE5naXvKPCchIYH4+PiCv00+\nSUmfEh3fACOB21Bz9+wGRSH6lsG1MgvtRhMRgXzxEoosl9rhqss48/IwH9iPrnETwgo6ebURdYA7\n1eT8+guA115YvkAVGoqkVgfs88h6+TLWc2fRd70RXcNG/i5OmRTuUAZiEJ2zcwdArVmpszQCfVTG\nfOQwjqws16TOMuZ+VRafBNF2u51Zs2Zx+fJlbDYbU6dOpXXr1jz77LOoVCoSExOZO3cukiSxdOlS\nvv76azQaDVOnTmXQoEG+KJIHlUeP670fyZgxd/H66y8zbdpkLBYz48dPYPr0mcyY8TTh4eFYrVbA\nJYmIiIhg8uSHaNGiJY0bNwFg+PDbee65GURERFK/frwnuO7UqQuvvDKXZ56Z5QnGZsyYzezZ/0KS\nJCIjI5k9+3lOnz6FJEnknz2DIzMTlVZbpnF4dHQ0jz46mSefnIJKpaJp02Y8/vhTpKenXTfg69ix\nEwsWzC8od0WCQ6nUv42m4McbqJmf3N27QKUqVU5Tm9BERICiIJvNXnug1BbMB/ahOBxE9Opdqzsy\nqgAePlWcTky/70EdEVmrOzKSJKExGAKyDgBMe3cDENG7j59LUj6+SHDVFhy5OViO/UFoq1a1zp2m\nMIE+KpO7ZxcAETf19do1fRJEr169mtjYWObNm4fRaGTMmDF06NCBp59+ml69ejF37lw2btxI165d\nWbRoEcuWLcNqtXLvvffSr18/dNXw7LsevtAgarVa5sx5ocT2jz76DIAPP3zPdW+1mtdee7PEcX/+\n81/485//UmL7pElTmTRpasE1FgLQs2dvevbsXeS4bt160K1bD65+/RUAX73533LLO3ToCIYOLdob\nbtSoseceZTFmzHjGjBkPwMqV6wB4990Fnv3uCZMATz31T8/n4n8bRZZBpQrIzI89LQ3rubOE39Cp\n1gem2kKdmdpe1sqSu8cVOBjKGJGpLQSynCPvxHGcublEDbq11o90aCIisGZl+bsYPiF39y4kjQZD\n1xv9XZRy8UWCq7Zg+v13kGUiir27axuB/DyS7TbM+/ehia1HaMtWXruuT4LoESNGMHy4azUkWZbR\naDQcPXqUXr1cL7SBAweyY8cOVCoV3bt3R6vVotVqSUhI4Pjx43Tu7DsdaaB6FCuyjGnvblRhYeg7\ndmL79q18/fXiEsdNmHAvAwcOKvM6f/xxhPffLxmEDxkylLFj7/ZKWSWVCo3BEJD2arnurE/P2h28\nAWgiAvOB6czLw3L4ELomTWulG0RhAvV5BIWyPnWgLWgjI8hLTg44aZM1ORnb5WT03brXqpXxSiOQ\n7dVMBW2htnfqVWFhLmlTAL6bLUeOIOflETXwFq+OTvokiA4PDwfAZDLxt7/9jb///e+8/vq1xUL0\nej25ubmYTKYinsR6vR6Tj1/o/uhpPfbYNJ/fwy3liOzXH0mj4eabB3JzFZay7NDhhiLZZV+hjTBg\nC8CV2nL37C6QcvTwd1Gui0dWE2BBtHl/gZSjDgRvgTqRR3E6Me3dizoykrC27fxdnOuiiTC4pE0W\ni6dOAoFrHZnanQGFwM2COnLcUo7WtWq5+9LwSJsCrA6gQGaJ99uCzyYWpqSkMG3aNP7yl79w5513\nMm/etcU5TCYTkZGRGAwGzIV6PGaz2eNoURYxMeFoNFW3v7FY47kI6JxW6tcPnCHss6v2A9BkyC3E\n1jSIm64AACAASURBVIHvlWKIIC8llbg4Q63WrFaG/CtXsJ47S3S3G2nYsvZO4HFzJdL1OwlXOQKq\nLaQd/B2A5sMGEV7Lv5cSG85pSUJtyw+oOsjefwCnKZeGt48gvkHtWV66LLILOpRRIQphAVQPF/fv\nRaXTkXDrzWjCa3cmOqRpPJeBENkWUG0hZc9OUBQaDhpQJ77XxYgI7EZjnShrRZFtNk4f3E9IfDxN\ne3Wp/Zno9PR0HnnkEebOnctNN90EQIcOHdi1axe9e/dm69at9O3bly5duvD2229js9mwWq2cPn2a\nxOssj5yVZalW2Rw21x/PnJ5FWlpgZEIVWebqtp2owsNxNGlVJ76XJtIAssyVC1e84tVYG8hc/zMA\nIV261Y06KAgcjKkZqOpAeSuC02Ihe99+dE2bYQ6JwlwHvpfGoCc/y1gnfjMV5crGLQBoOt1YJ76X\ne35A2oUrhGkDI3iwJieTd/EShu49yDI7wFy768HmcMloctMy68RvpqKk/LwNAKl95zrxvdzSpqtX\njAEjbTLt+x1nXh6RtwwmPb3yWfbyOhQ+CaI//PBDcnNzmT9/PvPnzwdg9uzZvPLKK9jtdlq3bs2I\nESOQJIkHHniAiRMnIssyTz/9tE8nFQKegC2Qhivyz57BkZVJZL+by3TlqG14JrWZzAETROfu2QVq\ndZ2QckDhOgictuBx5agDUg43mogI7LmBUweK00nu73tRR0URltjW38WpEIHoGFSXpBxQ2F4tcPS4\nDqORvOPHCG3dBm1s7ZZyuAlEaZMv24JPIq45c+YwZ86cEtsXLVpUYtuECROYMGGCL4pRKpJajVqv\nDyjhvEfr06tuPCyhmB63Flv+VBRb2lWs588R3qlznXnwBGTgsLvuTGZzo42IIP/KVRRFCQhpk+XY\nH8gmE9G3DqkzmSx3WwiUAE5RFEy7dyFptei7dPV3cSqESq8HSQqo55Hp972gKHXr3Wwo5NpUR95l\n5SHbbJj270dbvz4hCRVbE6My1I0nnJfRRtQeT9CTJ0/w2Wf/A2DLls2kp6eTknKZKVMertD5LleO\nPajCwwnv0NGXRfUqnpdWLamH6mLaU3dcOdwEmjuH02LGcvQIIc2a1epFJYqjiYgApxM5L8/fRfEK\n7qyPoY5kQCHwRmVsyZewpaag79IVVWiov4tTISSVCo1eHzB1AIXaQi135ShMoL0XzIcPoVjzMfT0\nzZoBdWPs38toIiKwpmfUisxPYmJbEguGPL/9dgktW7ZEq624pCX/zGmXlKP/gDoj5YDAe2nl7tnt\nknKUscR7bUTjA890f2Levx/F4ahTwRsUHRFQFzgb1VUUhwPT73tRR0UT1qb8+S21CU1kYNmr1TUp\nhxtNhAF7gNSBw5hN3onjhCW2RRtTO5f5Lg1tgI1QmnxstVl3oq4K8sPFNA5lll/5zv6jkHvZ0B44\nCxUIojvHGri9Wf0y969Y8S0bN/4EQHLyJXr27I1KpeLSpYvIssykSVPp1q0HDz54D9269eDUqZNI\nksT/+39vcvz4MVauXMaIEXdw8uQJXn75eZ577kWys7OYOXM6GRnptG6dyIwZs0u9d24dzIBC4cCh\n7gdwtqtuKUeXOjX8pdJoUIWFBVBHpu5JOcA1MgYFS+3Wr9vSJsvxY8hmM9G33lZnpBwQWJ16RVHI\n3bMbSaerM1ION5qICPKvptWKBFd1Me3dA4pSp7LQAJpI9yhx3X83y1YrpgP70daPJ6S596UcEKRy\nDs/DXVG8cr2xY+/m3XcX8MQTf6NBgwY0a5ZAVFQ07733Ea+99gZvveXyyLZYLNx22wjee+8j6teP\n59dfd3oeFH373kxiYlvmzHkBjUaD2Wxm9uznWbDgU/bu3UV2dnaJ+3oWWAnX1ykpBxQaMgqA3q6v\ne7q+RK03BISkxmkxYz5ymJBmzdE1aOjv4lSKQOpQ1sX5GRBY8wNsly5hT011STlCQvxdnEqhLZA2\nKdZ8fxel2uTu2Q2ShKFHT38XpVIEUofSfPggitVKRC/fSDkgADPRtzerX27WGCB3xVJS1qyl+b9f\nINRLvZNz584yb95rvP7623z++SccPLiPo0cPA65VG41GVxDctmDhgfj4BthstjKv17hxEwwFWc2Y\nmFjy80s+VFxSjqw6J+WAwGqoHilHt7oj5XCjMhiwJV/ydzGqjWnfPnA661zwBoETwHmkHNHRhLZu\n4+/iVApNAC16U1elHFB0wnltX2GxPBzZWeSdPEFYm8Q6JeWAwHkeAeTudo3UG3yY4KpbkZeXuDap\nzTuZn9TUFJ5/fjYvvvgqcXFxNG+eQHx8PPff/zBWaz5JSZ8SGelacKC83pBKpUKW5ese58bzsOxV\n9zKggTKx0Hb1KtYL511SDn3ds+pT6/Uodjuy1VrnslaFqSvL6paGNjIwOpSWY0eRLWai+w6tU1IO\nAJVWiyo0tM4/j1xSjl0uKUfnLv4uTqXRFLI+1caVnwyrzeS6pRx1uVNfx51qZKsV88H9aBs0IKRZ\nc5/dJyiDaK2XZ5++9dbr2GxW3nzzdWRZpl69ODQaDdOmTcZiMfP/2XvP4LjOK1332bsTOqHRyCQB\nIlDMFLMYFEglKmeNLEuWHMb53nPD+NTUTJ3xqeM6c1xTNXVdnqrrW+Ok8di0LVmWFahIUqQYJIpi\nEnMmkYgcuhud0973x+5uNEGg0bmxIT+/bHWj+wM39v7W+tZ63/XUU8+kDIrjry1btpwf//h/8Pd/\n/9+mDKLHXDnMmBapq5UDZo4C2KPiRAaSxk57PaoNoqNeL96zZzDMbUJfV1fq5WTMTBm/PqbPUF/g\nAEpVRu2BQ7Crk3B/P5a161R5PycSSpUnM55YK4d1tbpaOWDmVIm9p04gh0JYC+TKEecLGUTne9P6\n13/9t7Te9+c/b0v87+99778k/veq2HCOb3/7+3z7298H4Oc//4/E67/4xW9u+KzAlVgrx+3qa+UA\n0BgMCHq96m9UNbpyJJMYcOD1gkqGAYzHc/yY0sqhwp50GNu01HwKqrRyHENrt1M2b16pl5MVGrOF\nUG9PqZeREwmrTZUm9TPhcCXscOC/fAnj/AVoKypKvZyMiV8DNT+PIHlmQGGTenXV3PLETOj5cR9V\nr5gtjsY8ffy6syHU30+wswPzkqWqbOWApJNoFW9aY31v6jwBHevHVe8pqO+c0sphWXOL6lo54mgs\nFuRQCCmFVmU6k3DlMBgwL1NfKwfMDHu1uCuHGvUZoLQ2CYYyVe8JUjCI99RJdPX16BsaCvpd6nza\n5YjayxWyJOE+cli1rRxxNBazqm10PEfVHbyBUsIG9W5aUY8H37lYK4dKJ19qZ0AJW42TIscTr8qo\ndV8IdnUSHujHsmKlKls5IHlypDqvAcS0SoKAZfWaUi8lazQWs6qfR96TxWnlgC9oEK32k+jAlStE\nnU4sq1erspUjjmi2IAUCyJFIqZeSFe7Dh2KuHKtKvZSsiZ+gqzVw8BxXrytHHI3BgKDTqfYayJEI\nnuPH0NorKWtVZysHKIEDqLeMHU9k1CiujaN2fUB4ZITA5UsYFyxEa1NfK0ccjdmi2msAyaYLhd8X\nvtBBtFpPQdVsYZRMIoBT4aYV6u8j2NWJeekyNCZ1tnKA+k/fxkZMqzdwAKWVQI33AYD37Bkknw/L\nWvW2coCS1IM67wVZlvEcOaS0cqjQlSOOTuXzA+LVSdXvzfHWprD6WpukQADvyRPoZ81GP3tOwb9P\nvU+8HNAYy0CjUefDUpJwHz2MaDZjWrS41MvJCY2Ke0HV7kQQR6Pi0d9KK8dZDE3N6FU+6U80W1Rb\nwlbzsKFkNCpubQp2dBAeHMSyYhWiXl/q5WSN2k+iEwNWVNzKAeremz0njyOHw0pSX4Spl1/IIFoQ\nBDRmdfb8BK5cVlo5Vq1RdSsHJJ2CqvA6eI4orRzmlStLvZScSLhzqHDTGnPlUHciA8qmpcbWJikc\nxvP5MbSV6m7lAHW3Nql5ZkAyosGAoNWqMqkPjwwTuHIZ48JFaG22Ui8nJ0Q17wuHi3vA9YUMoiFW\nPlXhH8hMEPDEUaszRKivj2BXl+pbOUDdwsIZdS+otLXJd/YMkt+PdU1xTn0KiVqfR0orx2EEQxmm\nZTeXejk5IQgCosWiyr50z5EjgPpG3k+EWqsyUsCP99QJ9LNnY5hT+FYO+CIH0WYLks+HHJsQqAaU\nVo4jM6KVA9Sb7RZTtFBoxDJ1tjYlWjmaW9DVqHeyWRy1lk/jvsRqnMw2nrHKmLquQbCjnfDQIJaV\nqxB16m3liKNWUdtMcOWIo1atjOfEceRIpKjVyS9sEC1aLCDLSD5fqZeSNv7Ll4i6ZkYrB6g323Uf\nOYyg1WJeoV5XjjhqbW3yHDsKkjQjTqFBna1NUjisuHJUVlHW0lrq5eRMvCqjtlPQmVSRgVhrk9+P\nHI2WeilpEx4eInD1CqZFS9Bay0u9nJyJO9Wo6XkESQ41RbwXvrBBtBo3rbFpVOo/9QF1itpCfb2E\nrnVhWroMjclU6uXkBcUZQj3XAMCdUMHPnMAB1BXA+c6cVlo5iiTgKTRqPH1TBqwcQiwrw7RsWamX\nkxfUuC+4ExWZmfU8UtO9EPX78Z0+hX5OA4YiuHLE+QIH0eoSkVzXyrFwUamXkxfUuGmNuXLMjIcl\nxFqbvF7VtDZF3e6xVo5q9bdygDrt1cbsBWdGUi8ajUprk4qCt2B7G5HhYcwzpJUD1LkveI4cBlHE\nukr9rRygTsG59/jnsVaO4u7NX9wgWmWtBIlWjtUzo5UD1CmmmkmtHHHU1trk/jzWyjFDKjKgvp5o\nKRzCe+I42qoqylpaSr2cvCAIAhqTWVXB20yZGZCM2qoy4aFBAm1XMS1ajCZm0ad21Cg4L1V18osb\nRCcyLXVsWp4Z+LAUzWYQBNVku6HeHqWVY9nNM6aVA9SXzHhmYjVAZZuW70zMlaMIY3WLiZqG3siy\njPvwYUSjEdPSmdHKAbF9AfWcRM+UmQHJqK0aEPX5lFaOhkb0s2YX9bu/sEG0qKKeH6WV4yiixTJj\nWjkABFFENJpUs2klHpYqHqs7EWp6YEbco/jOn6OstRVdVXWpl5M31NZeNtPEbHE0FvW0NgXarhIZ\nibdy6Eq9nLyhtoTSHWvlmAmuHHHU1trkPVGaVg74AgfRarpRx1w5Vs+YVo44avLrTrRyrJw5rRyg\nrnvBc+wYSBKWmZrIqOAaKK0cn6OtrsbQPDNaOeKIZrNqWps8h2dedRLUldSHBwcJtrdhWrwk8Ryd\nCaittcldwnvhixtEq8gTdCa2csTRWMxEvV5kWS71UlIS6u0h1H1NaeUwGku9nLyiptammdjKAepq\nbfKdPo0UCMy4Vg5QT0KpVCdjrRxLlpZ6OXlFTc4Q7hnmmJWMWlqboj4v3jOnMTQ2oq+vL/r3z/gg\nesDvRpqgNKeW8mnClcNiUe2AlUAkTCg68ThjjdkC0ShyMFDkVWXGTHDliEgT+66qpbVJaeU4S1nr\nvBnVygHqam2aiWK2OGo5BVVaOUawrFo9o1o5QD2JDMTuBY0Gy8rVpV5K3lFLa5Pn888hGi2ZS9DM\n6g0Yx7a20xwcMoDspbYsyLqaGtbVNQHqUQArrRwubJs2I2g0pV5OxnjDQX78+TlkdFi1bhZXmLlz\nTis1KCrm5ABOLJu+J7xqd+X45ZnDtHnL0Qsumi0aNtbPoaZGuQZq2bQ8x46CLKs2kWlzDfHLCz2I\nhKkvi7C8qoqN9c2J19XQ2iSFQniOH0dXU4OhqanUy8mK/+f4QUZCZVToAiy0Wdg4qynxPFLLvZDw\nJVZpIvNZXzvbOkcwakI0W/SsrZ3NAlstoJ7KWGhggGBHO6Zly1XZyhGRovzr8cOEJYHZJpFlldWs\nqWlMvJ7c2jSdf7+xSn1p9oUZG0RLksThoQCyrAN0DATNvHMtyttdZ6gzBbi5ooKGMuO037Tchz4D\nUG0P6Nvt50EwgxzGE63i8DAcGurCePoMLRYta80mNCjWXtPV8zfY002o+xrmlatU2crhCQdo8xoB\nmTB2Lnng0mU3Wy/to6YsxCpBQ50oTv97IT6NSqX3wlsdVxCESiTZQG9QpLdH5oPuC1h1XlosepbZ\nKzFcvogsy9O2TcJ7+hRyMIBlzd3Tdo2puOjoZzhUiSAIOCNmPhuGg0O96M5coK5MYrlepEYUp3UA\nJ0sSniOHEU0mzCpt5fjgWj+yUIlPgrOjcHbUDXI/9rIgLUY9N5mtGKd5IlPq4C1Xdl27hCdaBUCb\nF9q8EbZ1XsSo9TCrTGRJRQVVokjU65m2QXTU68V79gyGuU3o64rfygEzOIj+bKCDKDbMmmH+64o1\n7Ou5wolhJ46wmQG/nV1+0H35+8zpvkpDx1k2z56HWWco9bKvI+rzMvrpAbR2uypbOSRJ4rQjjIzE\n9xbV4Qj6ODjQyzWfSECyc24Uzs1bT1X5XGxdV1lr1rC8ag6iOL26jJy7dwFQvmFjiVeSHW+3nUcQ\nzMwxOniieQH7ezu4POrHGy1nIGhhO6D76t9R7exh1uWTbJrdTK1peo2uDfb04D9/DuP8Beiqqkq9\nnIwZDfrpD1gAP39/8zwOD3ZxxuFkKGjAE7Fzygmn7nwK+839lB0/yPLaGjbWN6PXTK9HtGvvRwCU\nr99Q4pVkx3tdbQhCFWsq/cy12Ph8aIBun0xIstHtF+kut6P72g+wBgapu3CM9bVzuMlWM62eSd7T\nJ4k4Rii/fZMqhebnHX0E5Uq0OHjhpiYOD/bQ7gniiZhxBO04gnDshf8Tq2sYw4mDLLSVs7GuiUqj\nudRLTyBLEq5P9iNotVhWqbOV4+CAC6jknlky3nCISy4PIyEdgahdCaoX3oq2dS2Gy1eoHb7GzZVV\nrK5pnFbPpNGDByAaLWkiM33+NfLMRz39QBV31Fdj1Oq4f+4i7p8LoWiEU55e9rZ34/HpaW9dSvsA\n7O+/gkUzypIKMw83L54WfyiuvXuRgwEqHnlMla0cn/S1IQk2LOIwTeULaaKKlbFykUvjZ9vZc3T3\neBiprGVYo+Fqe4BX205SYwhwb0MjN1cVb3TnZETdbkYPfIy2qgqLCqdRSZLEaWcUGYnHmm9ijqWC\nL8+vAMBcoWfbqdOcHB7BP6qht66VXgccHelFJ5ynxaLhxYUr0Yql/9tz7PwAAPt995d4Jdmxrf08\ngmCh0eSg0mhOPI8A+uVRPrhwiaEOFw7bLBwRbeKU2qxx8+Dc2aypmVvaXwAIdnXiO3Ma46LFGBpL\nv55MURIZKwJ+Hm5aTJlWxy2J9j6Bd86c4VLXAD5/GSMVDYyMwrnRUZB7mWMM8d2la6bHvbA9di/c\ns6XEK8mO9zvbgSpWVxlZYK9jgb0OUNoLOsIO9l5tx3NxmMGaBtwhPUOD8PHANbTCKE831yf2kFLi\nOf454f5+ym/flNBXqYnzI72JROaehutbggKGMDvOX+DaxW48WHFW1iZOqt/qvMjsMjf/x/L1JVr5\nGHI0imPndgSdjvI7NpVsHdMnvc4jXZ4R3BE7gjzKHbNar3tNr9HywE1L+MGKDXz96C4efv03zNYP\nIxLEK1VxeKSMX5w5WqKVjyFHIjh370QwlGHbvLnUy8mKfb2DAGyeXXvDazdV1vLiwtX872YDz/3u\np2wcuYBFM4yMjsFQFX+84sQZLL3NlHPPbuRQCPuW+1WZyOzvvYIslGPVOmi0VF73mkln4J7GBfzd\nyg38zesv8eSe12k1u9AJLsKyjUuecv5w8XiJVj5GxOXE/ekBdHV1quxJlySJcy4ZWY7yWNOCG15f\nVjuHry1aw4uOPp7/7U+4UzNItX4YgRA+qYq/tI1MKgotJiM74onMAyVeSXZsaz+HIOiZaw5Qpr1e\njFdptPBg0xK+2zKfp/70c567+CnLbB5MovJM6g7Y2dF1oUQrHyPQ3ob/wnlMS5dhaCx9MJkpzqCP\ngaAVZB8PNV1fXdWKGjY0tPC3i9fyxJnPeH7rv/HQHJFGowOd4CJKBW+095Zo5dfj2P4+oN574b2u\nDgDWVt84NKyxvJLHWpbxFWMZT/z5l3zL38WG6iBVumEEwvQGKzkxdK3YS74Bz7GjRIaGKL/tDrTW\n0lVOCxpEnzhxghdffBGAs2fPsmnTJl588UVefPFF3n9f+SN89dVXefrpp3n22WfZs2dPXr53W/tl\nBEFkWYUmZRlOZzZTM9jD95oW8s9rV/BcqwlkHz0BC6NBf17Wki3uw58RcTiw3bEJjUl9mW776BCe\nqB1RdnFrXfOk7xMtFvShILcGI/y31Rv4H6sXUG8YQRD0vNV2rngLngApHMK5exei0Yjt9jtKupZs\n2d83DMBds+tSvk9rMVM12M+3lqzlf96yju8vrkaWI1wYFUsewDk/2oUciWC/936EaVRWT5c9PVeQ\nBSvlWidzLBWTvk9jsaCNRLjNUM4PVmzgf61dQYV2GAQzH167WMQV30h4ZAT3oc/Qz56NednNJV1L\nNkSkKOdcIMtRHm++MZGJo7Eoz9oqt5vnF6zih2s28Hyrcs0ODbqLstZUJIK3+x8s8UqyY1vbeQRB\nT7M5lLLaqzFb0ITD3Fo5m+8vW8f/vGUdemGEMHZOljiA81++RODKZczLV2CYXdzpePnAGfQxGCwH\n2ccDcycf3hYX/dsDYR5rWcZ/XbmBTfV6ALZ3lfYayLLMyPb3QRCwbyltdbJgO9KvfvUrfvjDHxIO\nhwE4c+YM3/jGN9i6dStbt27lwQcfZHBwkK1bt/LKK6/w0ksv8ZOf/IRQKJTT9/rCQa75jMhykEdb\nUk/3u84ZQhS5uWoOTeYQgqBnW3vpAjhZlnHs+ED5A7lXnSW7tzuuIggiN9t1KROZ8Z6gZVodz960\nCFmOcLHEAZz700+Jukexbb5rWjuHTMZV1yDeqB0NTtbXpnZS0Jivd4aYa63CrnOBYGHXtUuFXuqk\nSMEgzo92I1oslN96W8nWkQuf9CuJzD1zUgtfxturiaLI/Y0NABwcGC3gCqfGuWsnRKPY73tAlYnM\n3m4lkbHpnMwyp0hkJrC4u7l6DjochORKTg13F3ytkxEeGsR95DCGxkZMi5eUbB3ZEpGiXBgFWY7w\neMvkiQxMbLu5LuYmtP1aaQO4RDuNShOZt9rOIQg6WixTJDITONXc27AAZC+OsI0hf+mEn/4L5wm2\nt2FZtRp9XeoDokJTsKdhU1MTP/vZzxJDNE6fPs2ePXt44YUX+Kd/+ie8Xi8nT55k9erV6HQ6LBYL\nTU1NXLiQW8ns3Y4LCEIZs8u8WHRlKd870QPzseb5yLJyajGRv3Qx8J8/R7CrC+vaW6atY0UqvOEg\nPX4TshzgkebUicxEQ2/qTDZsOheyYOGj7ssFXetkyJKEY+d20GioUGnv4TuxRGa53TClMEpjsSCH\nQkjhsSR2S4PSk64IUErD6Cf7kbxeKu66B9EwvYS/6XDZNYAvWokGJ+tSVGRg4k1rRXVDIoA7O9JT\nyKVOStTvx7VvD5rycqzr1Smu/aTfAcA9s2elfJ+g1SKWld1gfXpLjXJttnd1FWaBaeD4cAfIMvb7\nHlSlM8pH3ZdjiYyLOpMt5XvH9uaxfeG+xoUgexkJlS6AC/X14Tl+DENzC8YFC0uyhlxQEhlRSWSa\nU69/ovhIK2qYb40iCFreajtf0LWmYjpVZAoWRN93331oknpIV6xYwT/8wz/w+9//nsbGRn72s5/h\n9XqxWq2J95jNZjw52GxJksRJRwhZlnikad6U759o05plrsCmcyILVj7qKU0AN6Lyfqu3288hCAbm\nGH1TOp5M5su6ZY5SJvu031mYRU6B9/RJQr09lK/bgM5uL8kacsETDtAbMMcSmamdXcYqAmOb1qqa\nRrQ4CMqVnB8pfi+iksjsQNBqqbjrnqJ/fz54p6MNQRBYWTl1ApDwrh/3DFxbrbQYvN/Zmf8FpsHo\n/r1Ifj8V92xR5WCPi45+/JJSkYkLCVMhWizX3QcA9zUqJ3DDoXJG/MW3v4t6vbj270Nrr1TtdLwD\nsWd5/Nmeion2Ba2o4SZrBEHQsq29NAGcY+d2kGUq71dnIrO7+xIIFip0rikdmOKtTeP35sebFyHL\nYa54tCWpFAe7u/GeOolx/gKM824q+vePp2gWFFu2bEkEzFu2bOGf//mfueWWW/AmnUB6vV7Ky1Nf\nWLvdhFY7scBrd9sFotiw6kZYd9PalJ9TU2NFnlXNIGASIonBEwBPLGzhd2dG+XTAwZdXWSf/kALg\n6+zEd/oU5UsW07huRVG/Ox9IksTpw1FkWeLFlcupqZz836+mxoosW7ii1SIG/dddgwdqlrKtczcB\nuZJ+eZRltcV16ujbvROA1i8/hbmmuH8D+eD1o6cRBAMt5aPMnVU56fvi/+aj1XbcgE0vXff73jG3\ngo86YUfvNe5YmLoEm2+GPz1IeHCAuvu3MGte6Z1aMsXl99EfsCDg5+trbqFMp5/0vTU1VjzuGq4B\n+mjounvhBftaPt1+kKFQOaJZoMpUPM9WKRKhffeHiAYD855+FJ1VfffC/3v2MIJQwa0N5df9u44n\n/lq3zYa/q+uG9y6qhPMOHR/0Xub/Wn97Qdc8nmt7dyIHgzQ8/2VqZ6kvqT890E1QrkQnOHlg6d0p\n31tTYyVSX8UwYBav35u/blzDP+09z2W3FnulCW0Rxd4hp4vLn36Coa6WlvvvVKXQ/LNjo4Cdp5fM\nm/JekCrKuApoQoHr3luDldrLZxgM2Pl4uJ1nlqws/MKTuPSyYjnb9MyTVE2DvbloQfQ3v/lNfvjD\nH7J8+XIOHDjAsmXLWL58OT/96U8JhUIEg0GuXLnC/PnzU36OwzG5Y8PbFzuBKu6oq2IwhQikpsbK\n4KAbn6T8+q6+YTRJ719kqkNDJ96InU8vX+Em243uEoWi70+vA2C5a0vK32G6sr/nChLlWLTD2KIL\nJ/0d4tcAQDRbCDpdN7x3ZWUZh4fhjyfP8Xcriqe+DbS3M3r6DKYlS/GZq/Cp7DpIksTRviAy7oQ+\nEgAAIABJREFUOh6Y05LWNQhplJPSoa4BfOYxH+bN1a181HGGXq+Jy9f6sRluVHMXis4/vwGA8fa7\nVHkv/P7C5wlbO7cziJvghO+LX4dwSCkMeoZGbvh9Wyxh2rwmfnP0CF9bVDyrxdHPPiU0NETF3ffi\nDAABdV2H0aCfHo8JAT931SxO616QDWVIoRD93cOI+rHE54E58zg3co3TQxK9/c6i2d1J4TDXtr2D\naDSiWb1BlffCH0+eBapYVVmW1t7sl5WKh6N3CJLeLyJQqXfhCFfxx8+P8GBT8XrDh956CykUovzu\nLQyNlN45KlPOO/rwR+1ocXCTYX56e3NZGQGH84b33jtrDi+3+djTMcydNcX7e4w4HQzs2Yuuvp5o\n8+TxRb5JlXAUXCESL3n86Ec/4l/+5V948cUXOX78ON///veprq7mq1/9Ks8//zxf+9rX+MEPfoBe\nP/lpTSo63cMJW7vb6lun/gFiYy2ZeMTrykoDgiDwbkdbVuvJhojLifvgpzErr+Jmd/lib9zWblb6\nicdk444fbloMsp+BYHHdUhw71C0cSWVrNxkT9b+BYgnZHBPbvlXEEmpCAb9iJfpZ6lPAT2VrNxHj\nRbbJPN68oOhuKbIsKyIqQaBiy31F+c58k8rWbjImuw61RmtCbFtMtxT3ZweJulzYNm1W5cTUVLZ2\nkzFZaxPA/Q2K2PazIiYTisB5F6LJjO320nkS58J7ne3AxLZ2kzFRaxMki23tRRXbOj6cfgLngq6i\noaGBV155BYAlS5bw8ssvs3XrVn7yk59gjgWwzzzzDK+99hqvv/46W7ZkL+B6u/2KYmtnT21rl8xE\n4oU4DzctRpb99AXMuEOBrNeVCc7dMSuvLeq08mofHcKbhq3deDRmM5Lfjxy9PjjQa7TMNQeK6pYS\nHh7GfeQQ+jkNmFQ6UjddW7tkxvrfbrwXHmtegCxHueCiaAGc2hXw6draJSPo9Qha7YTXoNZUTkUs\ngNvdXRy3FP/5cwQ7O7CsWYu+pnjVuHyRrq3deMTYviBNcB3ui4ltPyuSW4osSTh2vK9qgXPc1q5p\nClu7ZBIHXBME0cuTxLZniiS2HT3wCZLHQ8Vdd6tS4Jyurd14NGbLhIeMAOuKLLaVAn5cez9CYy2n\nfOOtRfnOdFBfpDYBvnCQa/6Yrd0UbhDJTCZqA8Vqba4pgCAYihLAScEgzj0xK6+N6rTyiicyU9na\njWfsOty4aT3atKCobinOD3eAJCmZrgqFI5nY2iWTOPmZ4F6oN9sSYts9RXBLCfX3jyng5xe3Dztf\npGtrl4wgCIgWy4SnbzDmlvJpf3HcUka2q3u4Srq2duNJtS+sLLLY1nv6FKGeHqzr1qOrVN+4+zFb\nu8wSmVTXAOCWGiXI/qAIYlslkflAETjffW/Bv68QKImMbkp/7vEkXJsmsB6+f+7CooptXfv2xQTO\n9yKm0JcUmxkRRL/TcT5tW7tkRKMRBGHCbBfidncSZ51SwQM4tVt5ecNBemJuEJkkMpA6gJtjqaBc\nGwvgeq7kZa2TEfX5cO3fi6aigvL1Gwr6XYUibmu3Ig1bu2RE0+StBDCmqD8QsworJI4P1a2Az8TW\nbjypTn5WJwdwjr48rHRygt3X8J2OKeBbp3Y6mo6ka2s3nslam+LEy+HxqW+FJN5aVqnSRGbM1s5J\nvTm1rV0yU10Dxe7Ox1CoHEewsAGc5/NjhAcHsG68Fa0t/d9huqAkMkJa/tzjSXUdtKKGVksEQdAV\nvNVPjkRwfLgdQa+n4s7UwtRio/ogWpIkTo6EkWWJR5sze9gLoojGPPnJzxyLHavWgSyUs7+3cAHc\nTLDyGrO182OawtZuPGKKthoYO82Ln+4VCtf+vUiBAPa770XQFk1zmzfcoTFbu4fTsLVLJlU/LsCa\n2rloceKXKrnkHMh5rZMRdbsZ/eRjtFVVWFYXT0CXTzKxtRuPxmJRWpsikQlfX1OlBHDvx/obC4Vj\nx3ZAve00mdraJTOZtVecB+YuAlkpjzuDhROYBdrb8Z8/h2nJUgyNcwv2PYUkE1u7ZESDAUGnm7A6\nCUqrX4slrARwBfQrVnQBiuWsWhOZ3d2XkGO2dlP5c48nfi9MdMAF8FjLQmQ5wiV3YbUa7iOHiIyM\nYLt9U2Kvmi6oPog+2N+OJNgwaxw0l1dn/POixTzpjQpjfaXxPtNC4Dn++VimO4XF33REkiROOxRb\nu8cyTGRg6tLdurpmNDjxRSu57CpMACdHIjg/3IlgMGDbfFdBvqPQxBOZRpMfY5oiqjhTBQ4AqyrL\nFLFtZ+HEts49u5FDIUUXoEILqdGgn/6ABVn2K8LYDEnV2gTwYJMSwA0ErbgKFMBFnE5GDx5AV1eP\nebn6bDYB3utSEpnVlelXJuNMlVCOiW11vNVWuFY/x47pM1AiGy44+gjKlWhxsKY28yRAk6K1CcbE\ntoWcbBu4fJnA1SuqFTjDWPvXvQ2Zr1+coiJQDLFtssC51CO+J0L1QfRHvUpQtXlWdpP9NGYLUZ83\nMVlxPOtrm9Dgwhu10+YaynqdqUi4QWxRZ6b7Sd9VJKEci9bBXGvmfXuaFCKSOIV2S3EfOUTEEct0\nY+tRE5IkccYpxSoymRvQi0YTiGLKa/Bg0yJkWQkSC+GWIoVDOHd/iGgyYbv9jrx/fjHY1n4+YzeI\nZMYmeE4ewDXF3FIKNXDCufvDaaeAzwQlkbGC7FeSjgyJX4OUAVxLYQO4+IhvfUOjagXOcTeI1VXZ\nOYqIKVqb4Hqx7a5rhRHbjmx/D1BvInM+OZGpyS6RgdSHK4UW2/rOnSXY1YllzS3oaqbfBGf1PSGT\n6HQP44nYEeVRbqtvyeozNGYzRKNI/omDAlEUWW7XIwgi73Tkv6XDf+UygcuXMC9fgWG2OjPdvb1K\ncpGJrV0yUwUOAA8V0C3lukz3XnVaeWVja5eMIAhozOaU16BMq0tyS8l/ADf66QGibje2zXchlqnP\nyisbW7vxTHUKCvETuCjnC+CWIgUCOPfsRmO1TisFfCbEbe2azMGsEhkxjcChzmTDpnMhCxY+KoDY\n1vHhTpAkKu9Xp8DZlYWt3Ximam2CsQDu4ED+xbahvl68J45T1tKqWoFzPJGJt4FlSjrPo5U1jehi\nWo2zBRDbJtppHpieiYyqg+htWdjajSedTOvh5kXIcoCegBlveOKBCdmSOIVWab9Vmys7W7tk0rlR\njVodjTG3lLfz7JbiP38ulumunZaZbjrE243uzsDWbjyKPiC1SOexhFtKfsW2siTh3LEdNBrs96hT\nAZ+Nrd144tZeE9mrxUl2S9nbnd/E3vXxfiSfj4q7771u0IhaSLa1e6w59eCuyZhK1BYn3uf7aazv\nN18oI773orXbsd6yPq+fXSzeas/c1m48iQplinthVQHdUhw7FIGzXaUCZ8XWTklksqnIQPr3wprq\nuFYjv2LbYFcXvjOnMS5cRFlzdgelhUa1QbQ3HKQ7YWuXXaYL6ZXuTFo9DUZ/3gO40OAAnmNHMcxt\nwrgwuz/yUvNOh5LILK/MzNYumTFf1tQ36qPNNyHLSttCPgM4tVt5XUnY2rlYl4Gt3XhEi1I+lVP8\n2465pZSzN49uKd5TJwn19VK+fgPaCvWNNYbsbO3Gk05SD3DvnFmx78yfW4ocjU5bBXy6ZGtrl4xo\nNIJGkzJ4g7jY1kFAruRCHt1SXHs/Qg4GqbhniyoFzhFJ8ZTP1NZuPOneC/FT1ny6pURGRxk98DG6\nmhrVCpzj/tyZ2tolM5VGI05cbDsUyq/YdiShC5i+e7Nqg+h32mO2dkYf5gzdIJJJp3QH8GjzPGRZ\nEdDlK4Bz7twRy3TVWbLzhAMJW7tHssx0Ib2TaIBGS2WSW8rVrL8vmWB3t+qtvMZs7fRZJzIQuw6y\nPGlrU5y7ZytB4sd5dEuJl+zUmshcdmZva5dMuic/a2ub0ODEL9nzJrb1HDtKZGiI8ttuR2OdfMzt\ndCZbW7tkBEFAYzJPeQ0AVsX6fd/L0wmcFA7j2PUhYlkZtk135uUzi022tnbjSfdeiIttB/MotnXu\n/lDVg89ysbVLJp1DRiiM2DY8Moz70GfoZ8/GvGx5Xj6zEKjvrwOl9/CUI2Zr15TeiO/JSDfTmmut\nwqJ1IAnlfNKXu7gt6vXi+mQ/Wnsl1jW35Px5peDt9vMIgoGGLGztkkmnbBfnrtlK3/X+vvyIPB07\n1X0K7Q4F6MvS1m48Y73pqa/D+voxt5QrrsGcvhMg0HYV/8ULmJYuw9DQmPPnlYJ3OrO3tUsm3cAB\nxtxS3smD2FaWZUa2vx/TBUw/BXw65GJrNx6NJbWoLc7DTYtB9jMQzI/Y1n3oIFGXE9umO9GYsutj\nLTWfZmlrN55U8wOSSRbb5sOvODHi22ym/DZ1CpyVRCY7W7tk0j1khPyLbZ2JEd8PTutEZvquLAUH\nYrZ2lixt7ZJJxxkiTlw4t68398AhUbK7V50lu+ts7Voyd4NIRtBoEI3GtK7B+trmvLmlRFxO3Ac/\nRVdXh3nFypw+q1TkYms3noTNXRrXYYXdEAvgcq8IJHQBKlXA52prl0w6VoNxHsqjW4r/0kWC7W1Y\nVq1GX5d9X30pycXWbjwaiwXJ603Z2gRKADcmts3tBC4hcNZoqLhXnSO+Lzj6CORga5fMVPZqycTF\nthfyILZV++AzGPPnzsbWLhmxrExpbUrjGtSZbFTkSWwb9flw7duDxlaBdZoPPlNlEL03bms3Ozs3\niGQyOfm5ta4ZUXbhidrpGM2+lC1HImMluzs2Z/05pWR/71XkmK1dNm4Q40k1qS0ZUVTGiufDLcW5\ne5eqS3bJtnaPZymiSkaTZm86wMPNi5Fl5RTcE87eLSU8NIj76BEMjY2YFi/J+nNKSa62dsnET36m\nEnjC9W4pb3fkdgKXaKdRdSKTva3deESzWWlt8k3dHhAP4M65yKnVz3f6FKGebqxr16lyxDfkbmuX\nzFib39T3QrLYdk8OAZwy+Gy7qgef5Wprl0w6rk3JxIP2AzmKbV379iiDz+65F1GX2zO10KgucugY\njdvaZe8GkUy6JSNQArhlsQDu7Y7sb9TRz2Iluzs2q7ZkF2+nuCtLW7vxiDFj/cn8upN5pCl3txSl\nZLcbjcVK+cbbsvqMUrOvZ8zWbo4ldzFeJic/iltKTGybw8SwuJWX/T516gLyYWuXjMaU/kk0jLml\nnM1BbBvq7VGsvObdhHFeblWlUpGrrd140hW1Acwyx8W2Vj7qyX5fGNk+/UVUqciHrV0yY21+aQZw\nMbHtgRzEtp5jRwkPDlJ+6+2qHPENY9NMs7W1G4/GYklrTwBYUzM34ZaSrdhWjkRw7tqJYCjDduf0\nH3ymuiD67Y7LMVu77N0gkplq5PR4Ho3Z3XX7TfiyCOBkWVbK16JIhUo9iRO2drjYkIdEBpQHphyJ\nIIdCU77XpFPGiytuKdkFcKOf7EfyebHddbdqS3ZxYV8utnbJZNJKAGNuKaed2YltZ4KVVz5s7ZIR\nNBpEkyntTSvZLWVflm4pjp3qHvGdD1u78WRSoYQxR5YD/SNZfV+gIzbie/FSyubm1s9dKvJha5dM\nuoLzOGtrm9DiwC9VcsmZudg2MeJbELDfp05dQHIik4+KDMSsT32+KVub4uQqth397CARhwPbps2J\nQ4XpjOqC6G6/CVkO8Ghznv5AMjhxADDrDMwu8yEIZbyTRQnVd/YMoe5rSsmuSp0lu4StXZ4SGcj8\ngflYwi0lnHEANxNKdmO2ds6cbO2SyTRwyNUtxbVvj6qtvCA/tnbjSbe1Kc5dsSQqG7eUiMvF6IFP\n0NXWYVm5KuOfnw7kw9ZuPJnuC+vqxsS22bilOOI2myo9hc6XrV0yY+1l6R1wAaysNCqTbTszF9v6\nL10k0HZVGfFdn727SymJJzK52NqNR4y7NqXR2gS5iW2TDxntKtEFqC6IFoQy5uRoa5eMqNcj6PVp\nOUPEeaRJCeBOZhjAybLMyHvvAOp1g8iXrd140plamMyYW4qNA/3tGX2X+/ChsZJdeXmmS50WxG3t\nVlYa8p/IZBDA3TkrO7cUKRDAsWunqq288mVrN554+TSd1iaAdTG7O2/UztUM3VIcO7erWhcA+bG1\nG8+YtVcmAZwitn03Q7eUUH8/7iOH0M9pwLR0WUY/O13Ykydbu2REsxkEIaPnUbZiW1mWcbz/LgCV\nKq7IKIlMbrZ248n0cEVxSwlmJbb1njqhHDLesg5dVW6mEcVCdU9NQXbzeEt+SnZxNGbzlD6IybTY\nqjFrHEjY+GygPe2fc+76EP+F85hvXk5Zc3PmC50GvNmmuEE0mHKztRtPpifRMOaWEheapkPY4WDg\nj1sRdDrVnvq4gj76Ym4Q+eg9jJPQB2RwDTbUNSPG3FLaR9MPpAf++HuiTicV92xRrS7g7Y782NqN\nRzRbIBpFDqYn2BRFMeaWImbkluK/fAnHjg/Q2ispv1WduoDzjr682dolI2bxPHqoaTGy7KcvYMYd\nSu/ayZEIfS/9AiSJqkceU6UuAOCTuBvEnPwlMoIoIhrTb22CmNjWlLnYdvSTj/GeOolxwULKbspv\nfFEsdl27FEtkcrO1G082hyuPNc/PWGwb9XgY2Po7EEUqH3g4q7WWAtUF0T9etzovbhDJiBmWTwHu\nqFeypI960gvgAp0dDL32JzRWK3Vf/9uM1zgdiEhRzjmVkt0TeSrZxUm4EmRQEUi4pUTsdLqnLmXL\nkkTfr3+B5PVS86Xn0NflrwRfTN5ITKIK5mxrl0ym+gBQArjlcbFte3o9uaOffcrogY8xNDVT9ejj\nWa211Az7vYnew0eb8+sqkonVYJy4W0pvmm4pUZ+X3l/9HGSZ+m9/V7W6gHc62hEEgVuqc3eDSCab\nwEER2wYQBEPaJ3DD294kcPUq1vUbsKxV57yAU0PdCTeItXlqLYuTrl93MvEALl2xbaivl4E/bkU0\nGqn/22+pNpH5dGAUgAca5uT1czM9iYbMxbayLNP3ny8RcYxQ9dgTGBrVMy9AdUF0IdBYLEh+P3Ik\nkvbP3DGrFUEexR2x0+VJLSaRgkH6fvlz5EiEum98C60tP317xWZn18WYgXt+RFTJZHOjKm4p2rQD\nuJH33lEqAatWq0L1OxFhKcrFURFZjvBkS35HxYs6HYLBkPGmlYlbSmhwgIGtv0UwGJj1ne+pthf6\njbZzCIKOeZZw3noP42Ri7RXHqNXRYEpPbCvLMv2/+08iw8NUPvIYpgULc1pvqRjwjzIcsoHsVcYO\n55FsnkcwJrZNJ4DznTvLyPvvoqupofaFr6k2eHu/qwuADbWWvH+2xmLOqLUJYI7FnhDb7p1CbCuF\nw/T+4t+RQyHqvvYNdNU1uS65JBwb7CIk29ELI6ysyW8Amk1SD5mJbV0f7cJ7/HOMixZT+dAjmS+y\nhPw1iCaziXlxRFFkaYWIIIhsa0+daQ288gdCfb1U3HsfluUrclprKTk44AbgwcaGvH92pnZGcR5t\nXowsB7nmN6Z0S/FfuczwtjfR2u3Uf+1vVbthfdBxHgQzVXontab8j2bOVNQGcbcUXyyAm/wETo5E\n6Pvlz5ECAeq+8lXVVgKCkQhXPTpkOZz3RAYy1wfEeSzuluJI7ZYyun8fniOHMc5fQNUjj+W01lLy\nxtULCIKWBeXR/CcyWT6PksW2qQK4iHuU3l//AkSR+m9/H40xvyfpxaLH68QRrgDZzX2N+U/GNBm2\nNsW5O02x7dBrrxLs6sS2aTPWteuyXmep2dHVA8Cttfm35cvEBjiZZLHtRUf/pO8LdnUy+OoraCxW\nZn3rO6rTZqhrtQUim9IdwGPxAM5nnLSE6j5yiNH9+zA0zqX66WdyXmupODrQSRg7BmGE5dUFCKKz\n6EGEmFuKUXFLeatt4gAu6vPS+8t/V0rX3/pu4rvUhizLHB7yIcsyj8xtLsh3KKK29JPJOPEA7pQj\nOunEsKG33iDQdhXr+o1YN96a61JLxrsd50AwUWsYpdJYiNO37J5HyQHcZBPDgj09DLzyB0STmfpv\nfRdBo8l5vaXAFwnR7i1DloM82ZI/XUCcbJ9HAPfMVpLDfX0Tn8DJkkT/f/yaqMtF9ZNPY2xtzX6h\nJeaNtksIgoYlNtCK+f9byqY3HZQATrG7q+LsSO+E7/Ec/xznrp3oZ82m5tnnc15rqeh0j+CKVCDI\no9zTkP9+7kzmB4xnTVUZgiDw9iRiWykYVCoBkQh1f/tNtBW5zzsoNn8NosnOSgfAoi+jIRbAvXn1\n7A2vh4eH6P/tbxD0emZ99/vTfvJOKnZcUx5Et9UVxoA+29M3gCdabkKWo5x2SjcEcLIsM7D1t0rp\n+uFHMS3M/8lhsTjY306ECkziCIsqC2PBpDGbkYOBjFqbQHFLKY8FcLuuXbrhde/ZMzg+eC9Wuv6q\naisBkiRxbCSkjLtvLkzwM+YMkfm98ECjMjFs/wQTw6RwiN5fJpWuVWqxCfFx92XMKvNgM+RfmCpo\ntQiGsoz3BID19c2JgRMnh7pveN25ayfeUycxLV2mWpcmAE9IOUCS5QBPtBZm2qgmC50GKJP21tUo\n1YR3Om70Kw47HPT950sIWq2yN6tUEwDwVrsyO+Nmu4imAIlMtkk9KGJbZC9DIRt9XtcNrw+8nFyl\nX5nzWkvBX4Nocjt1eKp1AbIc4axLuC6Ak6NRen/1CyS/n9rnvqJa30lQMt3RSAWC7OKuOYVRLotZ\nOEPEabRUUhEb+bqj68J1r41+8jHuw4com3eTakVscXZ3KyLWO2cXLvjJ5dQh3uZzoH/0uv8ecY/S\n99IvVV+6Btjf24ZEORbNCPNs+ZnWOZ7E6VsWAdzqmrnohRFCsp1jg13XvTb05z8RutaFbfNdWNes\nzctaS0FUkjg5ElXG3bcUbsKixpL+uOPx3FqntFq913X9NQh0tDP42qtorOWKiE1lpetk3mw/qzg1\nGX1YdGUF+Y5cArgH5i4C2Y0jXEG3ZyypTAjMPR5qnn0OQ4N6RGzjcQX99PjNyLKfx5uXFuQ7stUH\ngGJ3t7A8iiBoeaPt4nWvuQ99xujH+zDMbVJ1lV69d3AeEbPsfwNFhVqpd4Fg4b0kS53hd7YRuHwJ\ny9p1lN++KW9rLQVvJjJdTUEyXQCxrAw0mqw3rYfnKg/CgwNjgUey6nrWd76n2tI1wGXnIJ6oHVF2\nclv9vIJ9Ty6b1sqaBgzCCGHsHO5XTn9kWR4rXT+h7tI1wN7e+HCV/EyJnIhEP24WmxbAbXWK6PeD\nrrFTUM/xz3Hu3oV+9hxqnn0u90WWkI+641MiR2iyFs5LVmNOf9zxeO5tWIAgu3GF7XS5lbYOKeBX\n2sqiUeq/+W3VCswh2akpwhOt+XVqSiaXAE4ralhiExAEDW8mBXDXC8zvzttaS4FiOaunyRzAqNMX\n5Duy0Ywl82TLEmQ5SKevLNH2Gh4cpH/rf8YE5uqu0v81iCa3GxXg0blNsX5VP5Ik4bt4gZF3tqGt\nqqLuq+pVXQM4g356Y5nuYwXKdEEpv2nM5qxv1GVVcygTholQwcG+thtV1yoxbp+MuCfxqip93oar\nTES2Suw4m+oV+8l4+0+idL14qWp9ueOcG+kjINvR4mB9XUvBvieXyhjAPXPmI8ou3BE7baNDSun6\nN79G0OmU0rW+MJttsYgPV7m/YXZBv0djsSCHQkjhUMY/qxU13GwXEASR19uU9qaBP/6ecH8/9vsf\nwLzs5nwvt6js7Lo05tRkLlwfay5JPcCTrYr14zW/CVfQj//SpZjAvFLVAnNQnJoujGoKJnCOI2i1\niEZj1s+jcoORBqMXQSjjjavnkCMRen/170qV/vkX0derU2Ae569BNLlvWosqZ2HSjBDFxicdF+j7\n9S8AmPWt76li9nsq3op5EjeZ/JgKlOnGiU9qy5a7ZiuB8ofdAwy9/hrBrk7K79ikatU1wEjAy0DQ\nArKXR/LsSTyeXBPKzbPnKd7dUTvnz51k6LVX0Vit1H/z26ouXQO829kJwNpqU0E331z0ARAbvlKp\neHe/1XaFvl/9XPFGf/Y5DHPyLwouJieGugnKdnQMszrPnsTjycZqMJnHm5ciy8pgpO5P9jF64BMM\nzS1UP/k3+VxmSYg7NT1UYD/fbAZAJWPWldEUs3588+Kp67zR1Sowj/N+xwUQTFTpXdSZCjt5V2O2\nZOzOkcyTrQuR5QjnXND/5l9i3ugbVTvkKRl172p5ItdsF+Du2Up/5JFz3URGFMNw43x1Tj6KE45G\nuTAqKplua+EFeRqzBcnnQ85glHoyt9W3xix17HQcOoy+fha1X/5KnldZfJThKoonsUFT2LJXrveC\nKIqsqVam5x04fmnMG71CvaVrgH6fm+FQOchuHsyzJ/F4BIMBQavNKaF8rGUJyF4G/VacHR1YVq3B\ntlmd3ujJfNB1DYCNtYUNGmBMH5BtAGfU6WmxhBAEPZ+eOI9gKGPWt9XrjR7n8EAnYSowCEPcXACn\npmTEHFubAJ5sXYQsh2l3aAk5HVQ9+rhqvdHjyLLMkbhTU1Nzwb9PzPGAa7a5gkqdEwQLJy+2oaup\npe5F9QrMk/lrEE327hzJ3Frfgtk3wGBNE6PLV1L58KP5Wl7J+KDzYizTdeZ1jOhkiGYzyDKSz5fd\nz4sit5gEEAROr9xA/Xe+p2rVNSiexFfcOmQ5xJOt+bfyGk+ugQPAw02LMfhdtDUvRtyibm/0OG+0\nXUAQNCwsl9Dl2ZN4PIIgIOZ48mPQ6FgYdSBrdJxdtYG6r31D9RvWNY8TZ1ix8tpSAE/i8eTjcOWp\nufPRhEOcX7KWyq+8gL6ucL30xWLntT4Abq8vvB1ZPq5BnamcxtFrBI1Wrqy/jUoVe6PHOdjfQQQb\nJnGYRfbCmxZozGbkcBgpmHqYVioerqoBWebUio3Uffu7iGXqFZgn89cgmvxku6HeHtYd2A/Ang23\nqL50rfR4e5FlmYcK5Ek8nlzbamRJYsUHu7G6Rri84GacVeo+/QR4p+M8CEbFk7is8OVjdIdQAAAg\nAElEQVRHTQ7OEHECR4+w8uhBolodHy4unHtCsfBFQnTGPYkLZOU1nlxbm6I+L+ve/gBdMMCpZasI\nlqm7DxrgrbZLCILIkgqhYALnZHJtbQKQ39/OorPH8Jmt7C7C6XmhaXeP4I7YEGQnd84ufKU1H9cg\n2H2N9du3I0gSny1dQfqzD6cvcaemzbOLo/XJNZmRJYnyv7zJ3PYLDNfO5mhhzFxKQkEjvRMnTvDi\niy8C0NHRwXPPPcdXvvIVfvSjHyXGeL766qs8/fTTPPvss+zZs6eQy5kUQRQRTaasAwcpHKL3F//O\n3Cvn0YVcDFPFNc+NPq1q4mB/JxFsGMVhllQWVsATJ9deUMeODwieO8uCvovIopbXx1nqqA1Jkvg8\n5kn8aFNxXC1yvQbhwUEGtv6W+e3nQQrQETBOOQp8urOt7TwIBmaVuSnX59+TeCI0ZjOS348cnXhw\nTSpkWab/t79BM9BP42gHksY06SAiteAOBbnmNyHLfp5oKZzAOZmEyDbLe8F7+hSO7e+ztOcysixx\nYiRCNMtWtenCW22KU9OKSm1REhnRYEDQ6bLfm0PK3mx1DFMR6CWisbGvN/Uo8OnOJecgXsmOKDu4\nY1ZxDilyTWYcO7fjO3OaZQ6lHWtPb+pJkmqiYEH0r371K374wx8SDocB+Jd/+Rd+8IMf8Ic//AFZ\nltm1axeDg4Ns3bqVV155hZdeeomf/OQnhEKZK6HzQS52RkN/fpVQ9zUqNt/JwhoRQdDc4ImoNnb3\nKGM6N88q3kCGXE6iA21XGXrjL2hsFdz70IPIcoAunxF3KLNxsdOJ/b3tSFgxa4a5qaI4ZeBcroGi\nuv45kt/PnC89y2yTMojojbYbBxGphaikTGGU5ShPNBfOyms8uVQEXPv34jl6BOP8Bdx363plEJHj\nxkFEauKtmJVXo8mHWVecFq1c7oWIy0nfS78CjYZFX/0G5doRJMHK7kkmSaoBR8BPX8CCLHsL6tQ0\nHo3FknV72eCfXibU043trnvYvEgRou7tdeRzeUUnPv1vTZWhaC1aY6O/M38eBdquMvT6a2hsNtZ/\n+Xk0OPBLds4OTzxJUm0ULIhuamriZz/7WeLE+ezZs9xyyy0AbNq0iQMHDnDq1ClWr16NTqfDYrHQ\n1NTEhQsXUn1swdBYlB7E+HrTRfFf/RD97NnUfOk5Hm9ZiiwrBuiuoL9Aqy0sV1xDeCIVRc10Ifts\nV/Ff/TlIErO+9R1sldU0mnwIgoE3VHwCt69PydbvnVM8CyDRaARByOphObztTQJXr2Bdt4HyW2/n\nqZbYICInqg3gdnVfQRYslGtHmFs+/RPKYE83g6/8URnr/e3vMreihgqdA1mwsLPrxkmSaiAsRTnn\nEpDlCE+2FE8Qlu3kSFmS6PuPXxN1j1Lz9DOUNTdzf+McAD7pu3Fqm1p4s10ROLeYg5Rpi9ceJJot\nWVUD3EcP49r7Efo5DdR86VnW1bWgY4SgbOfEBJMk1cCQ38Ng0Aqyh4cL7NSUTLbj16P+mDe6JFH/\nze+gs9nYEJ8kGXM7UjsFC6Lvu+8+NEnDLZKDU7PZjNvtxuPxYLVar/vvnhx6n3JBNFuQIxHkDBrn\no243/f/5H8ro0O8oo0PNOgNN5gCCoOd1lQZw29qL40k8HjHLbHfgTy8THhzA/sBDmBYrD5anWhch\nyxHOuwTCKgzgzo3045cq0DBcUE/i8QiiiGg2Z/yw9F++xMj776KrHhvrPdtixx5TZH/QWZrkOFcO\n9CtBz/2NxWlpipMQeGYQPMjRKH2/+oXijf71v0VXqQT9D82dC4zZkqmNHZ2XkAUTdp2DWQX0JB6P\nmGUfqPOjXfjOnMa0bDkV994HxCdJDhOigqMD6gseQtEol0Y1RRM4J6OxWJTWpkgk7Z+JuFz0//Y/\nEfR6Zn33f0OM2bNurFXijfc7rxVkrYXmjbaLCIKWm6xh9AV2akom2wOuwT/9kfDgIPYHHsK8RKle\n3D93EcijOMI2ur3qbnuFIgoLk4Mxj8dDeXk5FosFb1LA5PV6KS8vjfhirP8t/QBu8C9/JupxU/Xk\n09eNDn26ZTGyHObSqIZgBjf+dCDuSSzLHh4uYskOshMv+C9fYnT/PvQNjVQ//mTiv9ebbFTpnSCY\neTdpkqRaiHsSryuwJ/FEZNraJEej9G/9reK/+s1vozGN9Q0/0qQMIvps0JdxlafUnBjqISTb0DHE\n6prmon53NifRzo92Kd7ot96OdfWaxH+/uWoOBmGYMBV81teR97UWElmWOTQYFzjPLep3ZxM4RJxO\nht/4C6LJRP03vnmdwPyOekXovP2a+srY73VeAMFItd5FjbG4e3Q2E/MGX/sTks9L9dPPYJg9lgBv\naVyIILtwRSroiE2SVAuBSJg2j04ROLcU7xQastybL11k9OP9GBrnXrc3a0UNSyuUSZJvXFVndSyZ\nohlWLl68mEOHDrFu3Tr27dvHxo0bWb58OT/96U8JhUIEg0GuXLnC/Cm8le12E1pt7oKGmhrrdf/f\nXVOJGyjXS1jGvTYRo+cvMPrxPkxNc1nw3NPXjZSuwcqstrP0+SrZNXCFr61Ym/N6i8XWgycRBCOL\n7BKNselzhWL8NfD6arkG6KPBG16bCDka5fgrvwdg4X/5HuWzrj+lenHFEv7tcB/HhgJ8c625qKfq\nudDtdjEcsiIwygtrbkdfQEu1if6deytseIYGqa62pBXAd7/1NqHua9Teezdzb11z3WubaxbyRvtO\nvNEqTnp6ubdVPf6sO072ADa2tNSk9feYC+M/X6qvZggwidG0vjs4PMKVt95Aa7Ww6PvfRFd+/c88\nPH8Wr18Msat3gEduXpbPpReU/R1XCVOOSTvEXYvWTP0DOTD+31mWLVzVaBCDgbSv/4Xf/RopEKD1\ne99h1k3Xeyh/qWoNH/XuxR2pYETwsbBaHXZ3sixz7EgAWdbwwoolRb8XXNWVeACbXsaUxne7Tp/B\n/ekBzPNamf/M49ftzQC3zCrjUJ/IO11t/GhzYQf25JPfHD8CQhlzTMMsaCysrd34a2BsqKUb0EdD\nGe/NCybYm79Vvp7/+8OjdPtNaK0a7GXFEWwXgoIH0fFN+B//8R/57//9vxMOh5k3bx4PPPAAgiDw\n1a9+leeffx5JkvjBD36AfoqRtA5Hdh7CydTUWBkcvL60GRKV7x3qGsBvrUn583I0SufP/h2Aqi+/\nwNDIjWt6eE4Lv77o4EC3hwfqXaoI4ILRCOeGBWSCPDxnwQ3/RvlkomsQCSl/K54hR1rf7di5HV97\nB+W330Gwes4NP1Mn2DBrzuKTqnn95Ek2z5mXv1+ggPzmzHEEwcoCaxTXSOH66ie6BgCSoUw5Xe4c\nuO5UeSLCDgcdf3gF0WzG+vCTE37enfXVvNsts+3iNVZYi9sWkS3XPE5GAlYEnGysXF30e8EnK49m\nZ98QYhrf3fvLl4j6/dS++HWcQQHG/cxqayNvykdwhyv45NIVFlTU5u8XKCCvn28HKrittqLo1wBA\nNJkJOF1pfbfv3FmG9n2MobkFzeoNE/7Mykodx0ZEfnv8NH+3Qh2Bw8c97URkKybNIHXCwqJfh7BG\n2ZsHu/oxGVPblsqRCB3/389BEKh8duK9+f76BXzWe45rHiMXuvqpVEEAF5UkDvb4kGUjDzW0Fv8a\nhON780h6e/OO7fg6Oim/fRPBqtkT/kyTyU+nv5JfHz7M1xetzs/iC0SqxKGgkV1DQwOvvPIKAM3N\nzQknjh//+MeJ4PqZZ57htdde4/XXX2fLli2FXE5K4iWjdEQkStm0i/Jbb8c4f2LF/ryKWqyaESTK\n2dOjDkuddzsuglBGjd5FlbGwpw0TkUkJO+J0MPzWG4hmMzVPf2nS9907Rznt2asSSx1/OEyHV48s\nB3iypTQnhpmU7oZefRk5GKD66WfQWCf+m7l11rwxRfZIX17XWijejFl5LasQi2LlNR5NBt71vnNn\ncR86SFlLK7Y7Nk34HlEUWVtdhiAIvN3elte1Foqro8MxT2IHm2cXzxklGY0lPVGbHIkw8IetIAjU\nvfDVSecEPNqsTJIcCFoZ8pdG/5MpH/UOAnDXrNSHS4VizBli6n8vx4c7CPX0YNu0GWPrxLagRp2e\nVksQQdCpRre0t6cNCQsWzTCttuInwJmMXw87HAwl9uZnJn3fU61K2+tFFba9JjP9j0eLRLoikojT\nyfCbryOazFQ/M3nwBnBfg1Jy2dc3/ZvnZVnm8+Gg4kncXJoTW0GrRTCUpfWwHHz1FaRA6uANYEN9\nK1pGCMh2Tg735HO5BWFb+4WEJ7HNUJoTknRdCbxnTuM+fIiy1lZst08cvIFSjVpfo/wu73ZM/55c\ndyhIt9+ELPt4vMi6gDjpCgulcJj+P/wOBEERdKaoeD3ctARkN0MhG32+0byutxDEBc4rK3UlSWQg\n7trkRZ7C39mx4wNCfb3Y7ryLsubJhcAGjY751jCCoOX1q9Nfq3HBMYBfqkCUh7mtiE5NyYhp9qaH\nR4YZfvstNBYr1U/+Tcr3Pt26BFkOcdWtIxAJ522theLjPsWWb0tD4acTToRgKAONJm8HKwC1pnKq\nDS4QTKrULcX5axAdI10RyVjw9jdorakFFmvrmtExTEiu4PPB6a0G3t/bThQLZs0Q8yuKZ6k2Ho3F\nTNSTWkDiPXsG96HPpgze4owpsrvyssZCEZUkTjojyHKEJ1oKPw1sMsQ0PIqlcJiBPyonb7VfSR28\nATwwdzHIo4yEbfR4p7fN15ttipVXo8mHWV+a0VrpVmUcOz4g3NdHxV13U9bUnPK9Oo2WRTYpJuiZ\n3j72jqCf/oAZWfbwSIkSGYhNs5VlJN/kbYTh4SGG39mGxlpO9RNPT/mZT7UuQZaDtHkNeCOlmYuQ\nLu90Kknv2mpjycbGj90LqfeFwT+9jBwMUv03X0r8zGRUllmoM4yCYGRb+/QO4E4P9xKQbWgZ4pba\n4jk1JSMIQmyKaupr4Dt3Nq2DlTiPN7UiyxLHRoJIKh1E9NcgOkY6ww3iZVNDcwu2Ozan9bm31dkA\n+KBrevtSxtsd7p5d2l5JzRSeoFI4nCib1r7wtbTGq98XU2Q7wxV0uaev0f5H3VeRMWPVDjN3ir78\nQpJOO4dj+/uE+/upuOueKYM3UBTZSypAEDS8Po0DuEhU4rxLQJbDPNWyqGTrSKedIzw0yMi7b6Mp\nL6fqiafS+twnW5YgywE6fWW4Q9N3kuSbVy8gCFpazUGMRfQkHk8698LAy39ADoWoeebZxHVLhc1g\nZnaZB0EoY9vV6dtOMOj3MBS0gjTKQ03FdYNIJp1r4D19Es/RI5TdNJ/yW29L63Mfb7kJWY5O+0mS\n78Xs+DbUpCf0LhRTuTZdVxVL42AF4KaKOiyaYSTK2dtzNZ/LLRp/DaJjTHWjypFI4g+kLs3gDeCe\nhgUIsovRSAVto9OzL/fcyAB+yYZGHmJjfWlKdnE0FgtyKIQUnviExrHjA8L9fUrwNjc9ZbVG1LDM\nLiIIIm+0Td+JYZ/EPYkbGqZ4Z2GZKoALD2YevAE82bIMWfbT7TcxOk0nSW6/dglZMGLXOagvoifx\neASNBtFoTJnUD7zyRyV4+9KX0ZimDt4ArHoTDSYvgmDgzWnaDxqMRrjk1iDLQZ4osifxeKaqUHpO\nHMd7/HOM8xdg3Xhr2p/7ZGwQ0WmnPG0HEb3edhFB0DC/PFpUT+LxTHUNpHCIgT/8HkSRujSDN4CW\n8hrKtSPIgoVd16bnvtDjHcURLgfJyX2NJb4XLBYkv2/S1qZMqmLJjLW9Tt8DrlT8NYiOMZWwMP4H\nYrvzbsqam9P/XFHDikotgiDyVvv0FBjGPYnXlsCTeDypSnfhwUFG3tmWcfAG8HjzMmTZR2/AjCOQ\nu8NLvjkx1EtQLkfHIGtqm0u6lqk2rYGXf48cDseCt/T7tpVBRH5lENE0PIGTZZnPBrzIssTDRfYk\nngilfDpJ8Hb8cyV4W7gI6/qNGX3uUy3KIKJzLoFwdPoFcO91XAKhjGq9kxqjraRrGfMovvE6SMEg\nAy8rwVt8wFC6NFgrY5MkzeyYhpMk/eEwHR6DInBuLd0pNEx9wOX44H3CgwNU3LMFQ2PjhO+ZjAfi\nkyT7p6dG4M22SwiCyOIK0BbQ6jQdNGaL0to0QWKfTVUszi11LegYJihXcGJo+uuWxvPXIDpGqsb5\n8NDgWM/bk5n9gQA81rIUWfbSH7AyHMh8nHIhGfB7GQ5ZQHLxYAlLdnHEFMnMwCt/UIK3Z5/LKHgD\nMOn0tJgDMUX29OuBi7f7bKwtzbChZFKp4T3HP8d78kRWwRvAUy1xRbZI6P9n772D47jSBM9fZlmU\ngfcgQJAw9FYUZShRpEQj771are5W98zE3c7cxmxcRE9cTHTPxU3s/LETG7cz23OxMz3TarWhDCW1\n1C16UqJEUY4UPUEAJAAS3gPlTWbeH1kFFkF4lMkq5i8UIRDIeu+repn1vu99TmMK3De97YRxYhX6\nWVEwu804EYh2B7LHfVOTGjkQoHfXb8FgoPiVV2dt+JbZc8k3D4FgY4/GOkkqisLJAb+a4Lxw4uoK\nyWSqLqqDe/5IuL+fvO07sFTM3nv0SJXaiOjL3pvXONV82HYJBDOl1lFyLVPHFyca0WYDQZhwTwj2\n9qrKW04uBY8/Oeux1xUtxEw/IXL4pldbOTPuUJB2rxVF9vJkiio1xSI6Jjcox7xiz70wY69YLHeX\nqPvenmvayx3rcE9d0k9XoiNMFTh/3W06txvEajBR4whqMiP7t40NCIKB+hS77KKMnYKOe1Ddp77D\nc/oUWUuX4dx455zGjmZkX3YZNVVS5+xAD8OhbFCG2LYgdXG4Ua5nw9/4LIydvBkMaszbHLwWxbZs\nCs3DmsvIlhWFj6+ppbw2lyW2ydBMMTgcKOEwSuDG2OXBj6PK204s5RVzGvuxhYtQFJlv+n2aUuA+\nvtqMhAOb2Ed9Xuprik/mlQl2dzO0dw/GvDwKHpu98gawsqCCLHGAMDl82aOdVuDeUIgzgzKKEubx\n6tQlOEcRRBHRZrtpT1AUhb7f/wYlHKb4hZcwZGXNafx7S9WwrQMa6yS5q/kCCGYqbG6c5rm9t3gy\n2bMwFtJUvwTnnTMPaYpl24IlCMowI6Ec2jSUt9ThHuV/XphasdeV6BgmCpwfc5vO4waBqAIXoMVt\nxqeRjOzv+jrpC2aDPMQLdWtTLQ4wcVWCG5S3l2d/8halIMtJ8VhGtjbCCSRZ5t2WDgRBYHOJNeUu\nO5jcfTr4p48IDwyQt+PBG1rpzpbHq2tQFJkTA9rJyP6w5RJBxYmZbrZUpN6QgYkNymB3F4N7P8aY\nn0/BY0/MeeyleWXYDANIZPN5lzbqRo8GAxzr8aMoYZ5ZrI1OchM9C4qi0Pu7N1HCYYpeeBnROvcK\nLlvKCwE41NEzP0HjyBuN51CELIrN/SzK1kZTnolCm9zfncRz9gy2ZStw3L5xzmNvrahHVIZwhXNp\nHumfr6hxoWV0iMsuK4rs4YWa1J9CwyR7czBI3+9/O6+DFVDDXlfnGRAEkQ80krekKAq/bmwEYeo9\nWVeiYxgfOD9ft2kseVYHpVYXCFY+1EA4QViWeb9V/eK+v9xOltGSYolUJlIc4qW8ATxZra2M7Pdb\nGggpTrKEbnZWrUq1OACIZjOC2XzDl2Wwq5PBfXsw5hdQ8Ojj8xq/biwj28mnnalX4IYCPr7uD6Mo\nQV6urUl5XkCU8ZuWoihqZRpJovilVxAt83tmt0Uq8Rzp1Ibi8Mal8yBYKbcOsDw/9eE0MHGOhvvE\nN3gvnMe2YiWO2zbMa/x7y2oRlUG8ch4NQ6lXpBuH+7nqsaHILn6wbF2qxRlDrdrkGfOayIEAfWN7\n8/fm9cyKosi6AguCIPBha+orRCiKwm+briAIBtYXhCmypTYvIMpEBuXgx38k1N9H3rbtWCrm5hWL\n8sSilSiKh26/g0ENhL1+0tmCS8pBVKb+ftSV6BjGAucjNUHHYt62zS3mbTxPVtejKBJnhmS8k1Sf\nSBa7r1wgjAOb2M0DC1IfCx1lvOIQT+UNYFFOEU7jALLg4KMUhxMM+LycHFBQlCCv1NVpRnmDG0sN\nKopCz5jy9vK8lTe4npF9uGs45cltb1y6AIKFKtuwJkIIoox/FtzffI334gXsq1ZjXzv/Nrl3ltZg\nZAC/ksfRFJeXOj/YQ6fPDvIIP1x6W0pliWW8C1v2++jd9TsEo3FeXrEogiCwsUh11b9z5WpKQ2sU\nReH3zW0IgsgdRQJ5KY6FjsXgcIAkIfvVqj4DH/2B8OAg+Tsfwlw6/wYkj1SrjYj6Ajmc6U9tWMe+\na8145WyM9PL0Ym0ZMhCzN/d0M7T343mFNMViNZqpjYS9/nvDhXmPNx98oRAHO1woisRT1VP3zdCV\n6BjEmNJewe6uSMzb/NymsSzMLqDIPIAi2Pllw5m4jDkX+nweTg8KKEqAV+uWakp5u96pzRNxm/4m\nrsobwNOLFqMoIb7qk+nxTp00kEjeaLwIgplF9hEW56Suwc1EGBz2sUQe19df4Wu4iH31mrgob6Bm\nZDsMvUhk85ums3EZcy6c6uukN5AN8gjfX6Id5Q1iKgZ5PEg+H71v/R7BZKLo5fmdvEURBIFHqopR\nFJm97S5GU1Q3WpJl3r7SjiCI3FNqxqGB+M8o45NsB/7wAdLwMHkPPYK5pCQuczyycAUm+vHJubx3\nJXXKw0etlwgo2Zjp4fFFa1Imx0TEdlENdHYwdGAfxoIC8h95LC7jWw0mNpdYEASRd1q6Upb07AoF\nOdrtQ1HCPL+oMmWdOifC4Lh5b45HSFMsr9SvRVCGGAzl8klH6gz7XzeeQxFsFJn7uW2aBje6Eh1D\nrLui97eRG+TFl+J2gwD8ePk6UFx0+rL5OkXJJG9cUpW3Woebhdmpa+oxEbGnb65vvlJP3uKovIEa\nD1rndCMIFn7Z0JCS058Tve30B9Vkwlc1prxBpDKE34/kctH3dkR5e+mVuBpcry9Ryw42jlpT4sqW\nZJn3WrsB2Fqehd2Umu6EkyHGfB8N/OF9pJFh8h9+FHNR/OJU7yhZTJl1AAQbv7yYGsP+g5YGQko2\nVqGHhzQS0hRFMBoRLFYkt5tA+zWGDh3AVFRE/kOPxG0Og2jg1frFKEqQbwegy5P8cmvDAR9f9oVQ\nlBAv1S5GFLSlGow9C25XTEjT9+J2sALw4MIVOA29SDj59aXTcRt3Nvz60lkQsiizDrKyMPVlNmOJ\nbb/uPvEt3vPn4hLSFIvVaObJ6iIURWZ/R2oM+6bhflo9NhTFzQ+XTW9MautJSTFRa3f4k8N4L57H\ntnIVjvXxu0EAss02dlao8/yhbSDpSYbf9LYzGMpBUIb4Xn38FNN4ET19C/X30ffWroQobwCv1q/H\nwABuKZc/tSW3zFdYlvmgrReA7eVOzcSjxxI1Znp//xukkZG4K28AJfYc7ixSuxj+rvkaoSQ3nXj3\nygXCOLGJPWzTUEhTlOj3kbfhIsOHDmAqLiHvwYfiPs+Pl90Gygh9wVw+72qN+/hTMeDzcmJARlGC\nfE9jIU1RDA47ktutKm+yTPHLryKa49tFsTanhKXZXgTBzC8bLiXdsI/Go1fahlmioZCmKNF9Yfjw\nIXyXGrCvWYtjbfxDHX68bBWK4uWy28aFweQa9hcGe2j3OlDkUX64VDthHFGie0JooJ++t6IhTfHx\nisVye/Eiyq2DINj4tyQb9mpIUyuCILKxAPIszmlfoyvRMRgidRBdx79Qb5CX4n+DANxXUU+huR9F\ncCQ1rCMkSXzY1ouiKOyoyMGSwna6kyFmZYEg4Gu8lJCTtygmg5GXaqpQlDBf9Ibp807ezjTevN18\nHgknDrGHrQtS24VqMqKbluvrrzCVJEZ5A3i8ejU2sZcwOfy2MXlhHX0+N6eiIU31S7SpvEWUaPeJ\nb0FRKH7lVURT/J9Zm8nCo5W5KIrMnmvDuJN4+vNG43kQLCyyj7I4Jz7hEfHGYHcQHhrE19SIY91t\n2FetTsg836tfj5EBvHJuUqsHne7vpNuvhjS9tkR7BytwXYEbPX4MwWSi+MVXEjJPUVY2m4pFBMHA\nrsvtSTPsJVnmrWhIU4kZp3l2fRCSQXRP8J4/R3hoiLwHH8ZckpgwxNeXrUdQRuhPsmH/x9ZL+JUc\nzPTyxOKZhTTpSnQM0QcViGvM20T8ZPkaUFx0eJ18m6Qi729FlLdsYy/3VSxJypyzRRDFMeUhkcob\nwPL8cmocLhAs/FuSEhl6vG7ODhsiyps2FWi4rsAB6slbApQ3UONyf7x0BYri49KolcbhvoTMM543\nLl1EiIY0ObUV0hQlatQDODbcjn1F4kpd3V1WS4klufkaJ3o76A/mgjKsyZCmKNF9QTCbKXrx5cTN\nIxr4Xu1CFCXEl0nK15Bkmd0tXQiCoMmQpiix30f5jzyGqShxz+wjC1diF3sJk81vGpPzLFwPaerl\n4YXaKGk3HsFgUA+5AFNhEfkPP5qwuVTDPu+6YZ+EQgwjAR/H+0IoSpgXaxbNOKRJV6JjMDjUo3tT\nUXFcY94mIttsZ3u5HRD4oLUffziU0Pm6vS7OjxhRFD/fr9ee6zqW6KaVSOUtymtL1mNgEJeUx54k\nVOtQlTcTS5xeKp0FCZ9vrhic6rPg2LAxocobQKk9l42FCoJg4LdNbQkvPfhVz1UGQ7lqSJOmlTd1\nDQSLlaIXEqe8RfnxsvWgjNITyOV4d1tC5wrJEh+0qe7yHRVOsjToFYsSXYeCx57EVJDYZ7Y+r4z6\nsXyNiwkP63jn8nnCZGs2pClKdE8wlZSStzNxByugGvavL12JovhoHM3i0lBvQucb9HsiIU0hXqmr\n1aRXLEp0HYpeeiXuIU3juaushuKIYf/vFxMfo/4fMSFNS/NnHtJk+PnPf/7zxIkVf7ze+Vskdrtl\nwnGMOTlILheFTz2DqbBw3vNMx6LsQk71XcIr53F5pI3bixMXi/Y/z50moNhZmsUIP34AACAASURB\nVO3i3vLahM0zUyZbAwBDdjZZNbVkz6O5zUwxiCLFVoEzgz6uesKsLbBjS9CGfry7jTPDJgRliL9c\ntS7lmddTrYExvwAUhcKnn41r8s5kLM0t4Xj3JQJKPt2edtYUJsZNGJIk/ldDC7Ji5sEFVmpyUt9M\nYrJ1UJPaLOTet5Ws6qkzxOOB2WDEInhoHFVoGhnlzpICzAm6R3c1naUn4MBh6OVVDYQQTPks5OZi\ncDopePhRBDHx504r80v4rOsKASUff6iX+tzEnLr2et18cHUUkHh9aTW5ltl34403k62DITcXye2i\n8OlnMeUn/vDBYbbiDvTQ6TNzYbCXzWWliAlSbn9x/jQ+2cEi+zDbK1Pf6GmqZ0Ewm7FWLyJ385ak\nyLIqv4jPuttxhbNxGtwscOQmZJ5T/Z181Scg4OKvVq7BNK7pmd0++R6on0THIBiNlLz6GtZFi5M2\n50+WrQHFzTWvkxMJCus41tXKSDgPQRni5brUb1jT4dywkbztO5M238qCChbb1UY4/3oxMWEdIUni\nT9cGUBSFRyrzNNFifSpMeXkUv/gyxuzspMynnv4sQ1H8XBix0DycmAYgu5rPIeMkx9jH5vL6hMwR\nT/J3PoRjTfK6id5TXkeRRc3XSNTpT7d3lHPDJhQlwGsaDmmKklVTS9EzzyEYk9NNVM3XqLyer+FL\nTL7GG40XEAQzdU4PC52JPzSaD6LJRMmrP8C6sDppcz6xaBVZYh8hcvhtU2LCOr7pucZAJKTp+xow\nJqcjd/OWuJX8nQkOs5UHF6h70IdXBxNSiEGSZd6LhjSVZmEzze7QSFeiU0yOxc628iwEQeT91j4C\n4XBcxw9KEnvaB1EUhUcr82+ysHRUfrB0PaIyxGg4j31X41+t43fNZ5Fxkmvq4+6yuriPnwmU2/PY\nUCAjCEZ+09QS97COTs8IF0ZMKIqf15Zo13Wdan6ybG2kDGcOX/fGP6zjjUsNCIKJpdk+Khz5cR8/\nE7ier2HllwnI1zje3cZQKA9BGeZ79dqrBKEFYg37iyMWLse5JXhIlvjwqpoDsrMiB6uGQ5pSyeby\nurFCDIkw7N++fI4w2djFXrZXzX5f0JVoDXD/gqXkmfqQBSf/3nAqrmP/vukMMk7yTH3cVZb6MA6t\nYjIYeX5xOYoS5tPuQFzbjna4R2gYMavKW702k0a0wlOLVmEV+giSy67m+FbreKPxEoJgYkVOgDJ7\nXlzHziScZhs7omU4W+NbhvPzrhZGwnmIyhAv1+nK21S8tmQ9hohhv/dq/PI1Yr1iD1fmat4rlkrK\n7Xncli8hCEbejLNh/1bTWSScOA293Fehfa9YKvnxsrWguGn3ZcfVY9/jdXFmyICiBPl+/dxCaXQl\nWiP8ZKka1nHV6+S7vva4jNnuHqZh1BI5edOVt+lYXbiAavsoCFn868VzcRv31xHlbWVOkFJ7TtzG\nzUREUeRHS5aiKAHODZtpGR2Iy7ifdl7GFc5DVAZ5oTZ54RHpypaKegrM/SiCM26nP4FwmD3XhlSv\nWFWh7hWbhljD/mh3MG6G/W+bTke8Yv1s0r1i0/L04tVYhX6CSi5vxcmw7/SMcH7ErIY06V6xacmx\n2Hig3BZ3j/2vIlWa5pPoryvRGiHXauf+MjWsY3drb1xukjcjytuq3CAlNl15mwlqWMcwI+F8Dlxt\nnPd4n3RcxiXlYVCGeL5WW610tcoCZz7r8sMIgpE3Gq/M+/QnEA6zv30URZF5YmGxrrzNkGi+RrxO\nf37bdAZFcJJv7ufO0uTlnaQzq2IM+3+Lg2F/zTXMpVEriuLnB0tWxEHCzEcURX64pB5FCXB22ESb\na3DeY0ZDmpbnBCjXvWIz4oEFS8g1qh77/7g0f499rFfslXmENOlKtIbYVrlUvUmY/03ySUczLikf\nA0M8r5+8zRiLwcSzi0tRFIkj3X4G/d45jxUIhznQoStvc+HZxauxRE5/3r48v9Of3zSdRhEcFJgH\nuL0k8VUuMoUciz1upz9trkGaXFkoio8f6F6xWRE17IfD+Ry4Nj/D/s2m6MFKSD9YmQWVzgLW5AUR\nBBO/utSMPA/DXj1YycegDPGifrAyK36ybDUoHto8Tk73d8x5nHh6xXQlWmPE4yZRlTeXqrxVFWNM\ncSm1dGNtYSVVthEQsvjlxbkrcG9GlLdC8yAbSqrjJ+AtgHr6U4eiBDgzNPfTn9bRAZpdNlV5W7oq\nzlJmPrGnP/PJ1/hNYxOCYGRtnkRRVnIqvmQKqmFfohr2XX6G52jYH2pvwi3lY2BQ94rNgedr1mIW\nBggoebx7ZW5eAX84dP1gpVo/WJkteVYH95WaEQSRd1u6CEpzM+zVg5X4eMV0JVpj5FkdbC21Iggi\n77R0z+n0582xkzddeZsrP1q2HlEZYSicz6FrTbN+fevoAJcjyttrS/WTt7lQ5SxkTV5oXqc/v2lq\nRhCMrMuXKbQ6EyBl5qOGdXi46nVyqn/2+RoHrjXikfMxMsizNYlpmZ3prC2sGjPs/7Vh9oa9Nxzk\nUKcbRZF5urpMP1iZA6Io8oP6GhQlyHeDBq65hmY9xq8bIwcrlkE2FFfHX8hbgJ1Vy8k29CGRwxtz\n8NjHHqz8cMn8D1Z0JVqDbK9aSo6xH5lsfjXDm8QfDtEw1MPHbRfHlDfdbTp3LAYTT1cXoygyh7q8\nDAemP/0JyRItowMc7bzMG42XEQQj63XlbV48X7MGyyxOfyRZpsszylc9bfzHxZN4I8rbM4v1U+i5\nkme1jxn277b0TGvYK4rCkN/L6f4O9rQ1cKTLqypviypS3mAonfnhsvUIyghDoXyOdExv2PvCQZqG\n+/i04zK/OPcdCA6KLUOsK6pKgrSZSXV2EStzAwiCmV81Nk1r2IdkiQ73CN/0XuWDK+dpcdtRFC8/\nioPydivz+rJVKIqXK24HFwa7prw2+n10fqCLw+1NY3vzunyZwqz57826L0Gj/GTZKv7bmcu0epyc\n6e9gdWEFQ34fLaP9tHtG6fH5GA5KeEIiQcWMQlakXagRQYC1eYG43CC3MuuLq/iy5yva/fn828Wz\n/Jc1GxkMeGgdHaLDM0qv389wIIwnLBCUzcioiaEqeRgZ5OnFG1L6HtIdURT5fl0N/+tSL98NGrjT\nNYjFYOKqe4guj4tev5+RYBhPSCAgmyJrEFXUnCiKxLM1uvI2X7ZXLeXkwHFGwoX86tIpnqiu55p7\nmC6vi36/n+FgGE8YApIJCSuCEC2bZgDBTollgLWFS1L6HtIdq8HE09VFvNvq50CHj0p7PwMBD71e\nN/2BAMOBkLoGsgFJsYBgjXl1PihefqiHNM2bF2vX8H+f+BafnM/vm89Qm5NHr8/DQPS7KKzgl0TC\nihkFa8yeYEYQYENBiDyrI6XvId0pynJyT7GRY30Gdl1u55FQkD6fh4FAgNFgCE9IXYOQYkTGiiDE\nqrp5kYOV+OzNgqIoSlxGShJ9fa55j1FU5IzLOIlm39WLfNpjRFECAAjCzZ101OXzYhIC2I0yuWYD\nNdnZPLBgSUSp1ibpsga+cIj/5+RpFCEHRQnFKAc3oihejEIAm0Ei2yRSaDXzYNUSciy2JEs8c9Jl\nDQB+13iScyNOFEWZ9L5WFD8G/FgNYRxGgXyriTUFJawpXJBkaWdHuqzDgN/NfztzGUGY/J5WlCAi\nPsxiGLtRIcdsoMxm48GqZZoOIUiXNQD457Nf0umfvByXooQR8GESgmQZFJwmkTyriXtLF865jFey\nSJd1aB7u5ZeN/VPsBxICPgxCEKsoYzcK5FiMLHbmcF+FtssKpssaAPz9yeN4pIm7baq6kR8DAcxi\nmCwDOEwi+RYzD1bVkzOLNvdFRZMfSOon0RpmZ9Uyzg4eZyCYi4AXi+DGYVLIt5gozbJR6chhUXYh\n9lm2qdSZOVlGE89UF/Nu6wAiEhYhhMME+RYTJVk2KuzZVGfnk23WrrKcCbxQu4Zrp7/GFTJhEUM4\njAJ5FiPFWTbK7U6qHXnk6qc7CaXA6mBnhY3DnYOYRRmHUSDXYqTImkWZzUGlM49Cq1PTxnsm8PrS\n9fyPcycIy2CPrEGh1UpJloNKRy5FWU7d85JganOL2VTcx5nBfuxGyDGbyLdYKbHZKLflUGrL0ZMG\nk8CfLV3Jr5vOYRQEss1G8s1mCrPslNmclNlzyUpCF0j9JDoNkGUZUcys8PV0W4NMRF8DbaCvQ+rR\n10Ab6OuQevQ1uBlNnUQ/9dRTOBzqiVFlZSV//ud/zk9/+lNEUaSuro6f/exn+knGODJNgdbR0dHR\n0dHRSXeSqkQHAmps75tvvjn2u7/4i7/gr//6r7n99tv52c9+xqFDh9i2bVsyxdLR0dHR0dHR0dGZ\nFUk94mxoaMDn8/H666/z2muvcerUKS5cuMDtt98OwObNm/niiy+SKZKOjo6Ojo6Ojo7OrEnqSXRW\nVhavv/46zz33HK2trfz4xz++4e82mw2XS4/F0dHR0dHR0dHR0TZJVaKrq6tZuHDh2M+5ublcvHhx\n7O8ej4fs7Klbwubl2TAa5595PFWguE5y0Ncg9ehroA30dUg9+hpoA30dUo++BjMnqUr07t27aWxs\n5Gc/+xk9PT14PB42bdrE119/zcaNGzl69Ch33XXXlGMMDU3fOW469OzT1KOvQerR10Ab6OuQevQ1\n0Ab6OqQefQ1uRjPVOZ599ll++tOf8vLLLyMIAv/1v/5XcnNz+du//VtCoRA1NTU8+OCDyRRJR0dH\nR0dHR0dHZ9YkVYk2mUz84z/+402/j63WoaOjo6Ojo6Ojo6N19ALEOjo6Ojo6Ojo6OrNEV6J1dHR0\ndHR0dHR0ZomuROvo6Ojo6Ojo6OjMEl2J1tHR0dHR0dHR0ZkluhKto6Ojo6Ojo6OjM0t0JVpHR0dH\nR0dHR0dnluhKtI6Ojo6Ojo6Ojs4s0ZVoHR0dHR0dHR0dnVmiK9E6Ojo6Ojo6Ojo6sySpHQt1Zs+n\nx1poONeDPdtKfoGNklInVRU5FOZnIQhCqsW7JRh1BXj/D+cxmQzkFWRRWuJkQbm+Bsnm02MtdHW6\nyC+wUVzsYEF5NgV5+hokk/5BL0c/b8HptFJcbKeiTF+DVHDs66v4fWGKimyUl2WTn2NFFPUzsWTS\n0+fm4qU+CgrslJU4yM/V1yDZyLLMd+d6sJgMlBQ7yM+zYkjyGuhKtIa51jHK2c/aMACuIT+utmHa\ngK+BMKAYRYxZRmxOC7l5WRSVqIpFRZkTo8GQWuEziF2/P4U06ANgpGWI1sjv1TUQMFiMZDksZOdZ\nKSy0U1aWTWVFNjarKVUiZxznLvZy7rNWRASGLg9yOfL7MCAbBAxWI1a7GWeOlfx8GyXFdioX5JCb\nbdUVvDghyzK73jyJwRemB2iO/F4CJIOAwWzAbDPjyI58HxXZKStxUlpi17+P4sinx1q48FkbAI2R\n30mAJAqIZgPmyJ6QkxM5eCl2UF7qxG4zp0zmTMMfCPPWr05gkpSx30koyKKAYDJgin4fZVvIzbNR\nVGijtMRBQb4t6UpeJvP+Rxfpvdg39m8ZBUkQwCRitBix2EzYHRZycq3k5dnU76RiB7as+O3NuhKt\nUWRZ5g/vnsEA5NfkU1bupK/Xw8iwD58rCIEwhrCM4AricwXxdbroOt/LGSAswLanVrCsvijVbyPt\n+ex4G9Kgj5BBYOXGSgYHvIwO+/C5gyiBMIawghgOEfCE6Otx00c/FwEFhbzF+bz0/JpUv4W0JxiS\nOPynBkwI5C/ORzAIuEf8+D1B8IcxSgqiJ0TIE2Kw18MgA2MKXsgk8oM/u4NspyWl7yET+OPeRgy+\nMGGLgeIFObhH/fg9IeSg+hwYfGEkX5iRAS8jLUO0RV4nASvvWciWexalUvyMYHjEz+nP2zCikF2Z\nS8AfIuANIQckDGEZgz+M7A/jHvLjZoQO4GzktUKOhT/78zv009I48Pa7ZzBJCnKWqiwHfCGUgIQQ\nljEGJJSAhG8kgK/TRS/XjZ2QAA89u4q6moJUip8RtF4bpiuiQFsLbQR9IeSgugaGoIQQlAm6ggR7\nPAzB2OFXvPdmXYnWKNENS8oy8twzKyf84pNlme4eN9c6RujtcTM05MMz7MfoDnLgjw3U/+cC3eqd\nByOjAb472oIRhS0PL2X1itKbrpFlmb4BLx2do/T0uBka8OIe9RMY8jN0ZZCLjX26MTNP3tl9FlNY\nRsy18sLzq2/6u6IoDA35aO8cpafXzeCgF/eIH++wH1NI5t3dZ/nRDzakQPLMoaNrlKtnugF48rlV\nVC7IveHviqIwMhqgsyuyBgNeRkf9+N1BBFeQM8faWL+mXDdm5snbb53GpICzMpfvvbLupr+7PQG6\nut1jz8HosB+vO4B/JIBpJMD+w808uK0+BZJnDmcv9OC+NoIkCHz/hxvIybbe8He/P0R3r4feXjcD\ng15Ghv14XAH8niAmb4i9H12g5q826cbMPJBlmY92n8UIVK4t5dEHl97w91BIoq/fQ0+fR12DIR9u\nVwC/N0hwOKDuzZf6WLZk/nuzrkRrkNgN64lJFGgAURQpL8umvCz7ht//4p+OYfKE+HhfI489tHTC\n1+pMz1uRDcu+IGdCBRrUNSgpclBS5Ljh90c+a6HhWBsH/tRAfa1uzMyVC5f6GG4dQhYEvvfixCcH\ngiCQn28jP992w++93iC//KcvULpdXLjUx/I4fGHeisiyzPvvnMUAlC0vvkmBBnUNcnOs5OZYWb60\n+Ia/vfnb73BfG+Gd3Wd5XTdm5sznEa9Y2CDw3LOrJrzGYbdQV2O56aTzStsQe35/msYTndy1seom\nxU9nZgRDEoc/voQZgbX3VE/4OVqtJqqrcqmuutnQ/MU/fYHRG2LPwSYe2bEkWWJnHB9+3IDRLyFn\nGXl4x81GoclkmFA3Ajjy2RUajl1V9+a6+e/N+s6uMdQNSw3jWDDJhjUdjz61AhloPd3N4LAv7jLe\nCnz+VRvSgJeQQeD5524+/ZyOrfcuQrGbMAUk9uxvSoCEmU8wJHHwo4uICKy8ayF5uVmzer3NZmbV\n3QsREDj4pwYkWU6QpJnNx/ubMHhDSFYDjz86e6P82adXEBLB3+3ifENvAiTMfEZdAU4ebUFB4b6H\nlmCxzO78a/HCPHKqcjAp8O67Z6d/gc6EvP3uWcxhGUOelXs3Vc/qtYIg8MhTy5GBy991MTSi781z\nob1zlPZzvUjAE8+tnvWJ/tZ7F6t7c1DiT3sbp3/BNOhKtMb4075GDN4wktU4pw0LoGpBLvnVuRiB\n3bvPxVfAW4BRd4CTn0Q2rAeXYJ3lhhUlasxcOdWlGzNz4N33zqlhHDlWtm6eWzztlqgxE5T4eN/8\nvzBvNbp6XLSc6kIGHnt61Zxc0FlZZtZsWoiIwKGPdWNmLkS9Yo7ybFavnNgrNh3PPLWSsCgQ6HVz\n9mJPnCXMfC409jHSNkRYgOdemFs8bXVlHnnVuRFjRt+bZ4ssy7wfyRWrXFnMgvKbT5pnwmNPr0QG\n2s50MzDknZdMuhKtITq6R2k93a1uWFOEccyEpyJfmKE+N2cu6F+Ys+GtXdc3rDWr5rZhwXVjxgTs\n3q2f/syGhqZ+hloG1Q3rxdl7AmLRPTNzQ1EUdr99BiNQtrSQhVWz94pFuW/TInCYMQVl/rT3UvyE\nvAU4/s01Qv0ewgaB5+eovAFkZZlYd4/qmTn88SUkSTdmZkqsV2zV3VWz9orF8nTM3vzdua44Spn5\n/Gl/I8bIIeNjD889VLWyIofCmnyMwLvvzG9v1pVojRCNOzQC5cuKWFg59w0LwGoxsv7eagQEjuzR\nvzBnyhexG9YESWyz5box4+HU+e44SJj5hMIS+z+8gIjA8jsqyc+zTf+iKahakEv+ojz1C1N3Zc+Y\nPQeaMHhCSBYDTz6+fN7jRY2ZtjM99M/z9OdWwe0J8M0RtaDjPTvr5uwVi3LP3dXgNGMOyXy4pyEO\nEt4a7H7/HKaQjJhjYcu9i+c1ltViZMOWRQgIHN3bRFiS4iRlZtPV46b1VOSQ8en5HTICPPXkcsIG\nAWnQy7enOuc8jq5Ea4SP91/fsJ54bFlcxtx010IE/Qtzxrjc4zasONR5tlqM3LZZNWY+3duoGzMz\n4N3IhiVkW3hgS01cxnzqyRWEDQLhfg+nzuqnP9PR0+fm8slOZODhp1bEpZJA7OnPe7oxMyN2vXUG\nkwy2MifrVpfHZcwnIq7s9nO99PV74jJmJnPpcj+DVwYJA8/OwxMQy10bqxBzLJjDMh98pO/N06F6\nxU7HxSsWxWwycucDNQgIHDvYRDA0N2NGV6I1QFePeyzu8NFn5hZ3OBmPx35hDuqnP1Px1ttnMMd5\nwwK4+86FCNkW1Zj5WP/CnIpLlwcYvDyIBDw7zzCOWKwWIxs2q6c/n+7XT3+mQlEU3n1LDeMoritg\ncXV+3MZ+6gn19Cc84OXb03M//bkV+PpkO8FeN2FR4IU41psvL8umuK4gkjOjGzNTEZYk9v1B9Yot\n21hJQf78vGKxPPHMSiSgq6GP7l533MbNRPYebI45ZJy/VyzK7esXYMizYg4rvP/hhTmNoSvRKWa8\nhTW+LM58KS/LprhWP/2Zji9PJGbDijJmzJzvpW9AP/2ZCHXDOo+IwJKNCyjMt8d1/LvuqEKMGDN/\n+KNuzEzGvsPNiO4gYbOBp55cEdexzWYjG7cuVk9/DjQRCuvGzER4vSGOH2xGQOCubbVkxbHDGsCT\nj6vGjDzk46uTHXEdO5PY/cEFTEEZnGYe2Dq/MI7xlBY7KV9aqO7NujEzKb19bppPdCADDz25AoMh\nvmrr08+uQgL6mgZo7xyd9et1JTrFfHygKSEWVixPPr4iJvZH/8Icj9sb5KtD6oZ19/b4b1gA5aVO\nSvTTnymJ3bC2bY1PGMd4Hn9GNWY6L/bR3aef/oynd8BD4zfRDWs5xjhvWAB3bKjEkBs5/fnoYtzH\nzwR2vX0aswzWEjsb1lfEfXyTycBd22oREPjyUPOcXdmZTHPrIH1NA0jAMy+sQRCEuM/x+GPLCRtF\nhJEAX3x9Ne7jpzuKovDu29e9YjWL4ucVi1JYYKdqZTEG4A/vz75iiq5Ep5DuXjdXInGHjzwVfwsr\nisls4I7o6c/By/rpzzjeeksN48gqdXDbuvhvWFGeiJ7+DPr45jvdmImlueX6hvVsgjYsgLISJ6X1\nqjHzvl7+8QaiYRwmoLAmn9rFiWtN/GTEld1zqZ+uHlfC5klHvj3dib/bRViEF+IUgzsRG9ZVYMzP\nwiwpvPeH8wmbJx2RJJmP3z+PAai7rZziwvh6xaIYDSKbd6rNQr75pAV/IJyQedKVg59cRnAFCZvE\nuHvFYnnkoaVIZhHRFeSTY62zeq2uRKcI1cJSwzhK6wtZFMe4w4nYuKESQ45VTWTQXdljfHOyg0CP\ni7AYn2ocU2EyGbgrmshwqFk3ZiLcsGFtqKAoQRtWlMcfX07YKKAM+/jyRHtC50onDn5yGWE0gGQS\nefqpxG1YAMVFDiqWFenGzDi8/hDH9jchILBxaw02mzmh8z0dMWb6mwe5NgdXdqby/kcXMAUksJvY\nsa0uoXOtWVWKudCGWVbY/YH+LETpH/Jy8at2ZGDnE4nxikUxGETuf3gJCgqnj7Xi8QVn/FpdiU4R\new81YXCHkMwGnnwiMWEc43ki4srubuijS09kwOsN8UUk7vDObYnfsAA2rF+AMc+KJazw3oe6Kxtg\n94cXMAUlcJjZ8UBtwuczGQ1seqBOdWUfvkwgqBszsRvWjseXYzIaEj7nY48uQzKJCKMBPtdd2QC8\n/c4ZzJKCucjGHbdXJny+ggI7C1eWqK7s986hKErC59Q6LdeG6W7oRwKeen51wrxisUTjcodahmi5\nNpzw+dKBd946jQkoWJRHfW1hwudbvrQEW4kDs6w2+popuhKdAnr63TR9e718VKLCOMZTUuygbIma\nyPD+LG6STEWNO1SwFtu5ff2CpM0bdWX3NvbT0XNrn/5cbhuk95K6YT39/KqkbFgA69eVY8rPwiIp\nvPeh7sp+Z1fMhlWX+A0LVFf2vdvVU75vP9Vd2afOdePpGCUsMK+mKrPl4YeWIJlFDO4gn3zRlrR5\ntYgky3y0+xwGYNGaUkpLnEmZNy83i5p1ZRgQ+Oj987e8MXPk8xYYDhA2ijzz9MqkzfvMs6uQBHBf\nG6HxysCMXqMr0UkmNu6wpK6AxQkIlJ+Kxx5bhmQUYNjH8VvYlf3NqY6xuMPn41hKbSYUFTpYEHFl\nf7D71lXgJEnmT++pYRw168opKU7OhhXlyWdWXXdld926xsyho1dgJPkbFsCa1WVYCm1YJIV3P7h1\nn4VAMMyney4hInDbfYtxOixJm9tgENn60HVXtncWruxM48M/NWDyh1FsJh6KxConi53b65AtBkze\nEAc+vZLUubXE0IifM8faUIBtjy3FZEq8VyyK02ll6e0ViAjs+fAi8gyMGV2JTjL7DjcjuoJIZpEn\nExgoPxkmo4G7t6mu7K8OXyYYuvVOf7z+EF/sV8M47thag92WvA0ryqOPLEUyigij/lvWlR0bd/jg\njsTGHU5EYYGNqpXFGLl1XdmDwz7OH7+akg0rylPPqp6Z4ZZBWq4NJX1+LbArEsZhKsji7jurkj7/\nimWqK9siwzvv3ZrGzLXOEdrP9yIDTzw7/454s0UURbY/tgwFuPjVNVzuW9OYeeut05gVyKnKYdmS\n4qTP/8DWWpQsI2Z/mD0Hmqa9fn49RFNAf8tuFNSubwJR12/k/ze4gq//Tf319X97ek34faGY66Mj\nCZHLxo0bM7bAuDnGXS/cIIdww3VSWEYcukZtDdSsKMHT+9nE18I4t/aN40w+38TXCrG/FwTqK6G7\nfhDJHeTo4b3cuaEyZr7xn2mMTDd9zhN9FlOty/VxRkUbfpfv5nFmuiZC7EpMP1/sGHs/vkSu1Ys5\nP4t1q+2EA0PXrx8bdLL5Jp9rNveQQYR7ty/m+N5GThy9wm2rS7FaTJHLwLFblgAAIABJREFUkhPS\nkEr6Brx0N/QD8EyS4g4n4pGHlvIvl/oxuIJ8evwqW+5emBI5UsW7757FpEDOwtRsWAB5uTZq1pbS\neqqbjz64wF/+p7tviWcgSkNzP+5rI8iCwCtJDOMYz9PPrOLX//IlrmvDNLUMUpdkL2mq+WD3OYxA\nxcoSKspzUiJDfW0hX1U4cXe4eGf3WX702m0pkSNVHPv6Ksqgj7BB4NlnV6VEBkEQePjJFXz8+9M0\nn+xk6I5Kioom95IKSpodv5zY/3+mWgQdnSQzsRE1uVEz3oCK+VvMtaIoIMvRSycfY+K5br72JuNp\nCqOvf8CLFJAwWY3kR7uA3WSoTmaQCDGXz86AGn+dgMDIqJ++DheSADX1hRgNhhuvncAQHz/XdAbf\nje8r9lqwZVkiLvSpjfAZG7MwsVE8TjaXO8CpL6+iCAL3bKnFYBRvuO5Go3ESuWYw1/T3Kcgy7Pnw\nAkJIoXxZEetWld303qZby8nX4cZrJzKG8/LtDA15b5R5RmspxExz87UTzTVe3n//1bcowwFqbqtg\ny+bFM5hrss9//hw42ETztx0Es4z85V9tQkyyMVNU5KSvL/klD0+f7+GLjy4imQ38b/95U9JPoWPx\neIL8xz9/gaAobHl6JSvqi5I6f6rWAOB//PfPMAUk7np4CWtXl03/ggTy+9+fYrhtGEORjf/rpw9M\nep0mlGhZlvn5z39OY2MjJpOJv//7v6eqamKXVk9XH4oSzaZXxv4/9iYU5aa/qT8qY1cW5NsZGPRM\neq3C+N9PPK4yzXxKzO9lWeb9t89glGTu2lEXqTs5yXw3LMl1ua//c3L5lAnkuGGcGHlPnepkqHMU\nxWpg69aayFdyzGc5yRgoN763mc4X+3+bzYzXE7hhtpnPp8RMHSvt+M/v5s+ipW0I37APo81I3VjG\n73iZJ5bhhmummWum91AoJNHdMQooFJY6sVoME76/yedjis9nkvso8jeDQUSKtr+e4f1z/brJ/3bD\nvT/JPSGFZVUGo3j9b5Pd2zo6OjNkjoZXjOHk94dBAdFowGw23DDmxEbebOYTIv9N/Huj0UA4LE8w\nV8y1szC2Z2pot7QOQUjGWWCjsMA29VyTyTWD+SY28m6eq71jhIFOF5JBZN26CgRxujWYxefP1Iav\nw2HF7Q5M/vmPu18m+1xnMlfsKJfbhmj+rhPZZOChR5ePu3aqNZiZ4TuTzz/2/QSCEu//7jTICv/l\n715iMjQRznHw4EFCoRC7du3i9OnT/MM//AO/+MUvJrxWNFrnPZ/F5sTkSW4c7JHPWhjtz0HMsVC1\nKLnJO5Nx532r+P/+32OIIYnTCwu5Z2PyYvFSYe1Kksznuz7DJMs8+dptFJRlJ3X+yTjV0sDVM91I\nTjP/6X+/O2nzpurE4d0/nKfvYh+OimxefXX9tNffbIhFfh5nHEcuHnftxEbteEN1ZNTH7l+fBBR2\nPLuKihLnhGPMZK7JjeJxRkbk93l5NoaGPDeMMbm8szfWJjLAff4gR/ZcQgDuf3hJRFm6+b3eYKRO\nYhDP1Hia3thTOHGinZArgCnXyvo1sSdR44246Y09ZfxrJzAuo1dlWU34fMEJr51uHa7fSlOv+0T3\nzdWrw0iBMFlOMyUljilff32uye/xyea5/oan/1xMShj3qB8lCBZrVoweNdkaxI4h3/g3eYI1Hydb\n7D0jBaP32SzXe56UjkWuDOAbicuQ8yLHDDnV6s/u/mtJnTtVBfZygNvWqj/3t2ijetiWu6I/aVyJ\nPnnyJPfeey8Aa9as4dw5bXyA8eTst+2YgHu2LE61KGMYjQbu2VbL8T2NnDx+NalKdCo48lkLZlnB\nkJtFuUYUaIAHd9bzLxd6EV2BjI9FDEsSHZf6MAI7Zpj9fvNJxs3/nK/TOb/AQWldFe3nejhwqIsf\n/yBxnSvHY89x4g0m15j543vnGOgpwlmZQ15JcqvTTMXtmwP86p+PIwO333MHDnvia7dDagzKkVE/\nX7z9JYIAP/4/NmG1mpI6/1T86j++xdfjpmx1CU8+vCxp885nHSY08mZgXPz6zROE+r0sWFHMzu11\n0xtN1yec03wzNbbbO0b48kATIYPAC6+svdGYmY+hPY2RnZ1tZXTUN+7a6Q2ZuRvZ0D/g4eLJdhRR\n5J6tiyd8r7OZa+ZG9jQGtqLQ2jrIVGhCiXa73TgcjrF/GwwGZFlOaVxSPDl5tgtTQELOMrJiWUmq\nxbmBNavLOHb4MkZfiHOXelmZouSiRKMoChdOdmICNt9fk2pxbsBgEKlfU8blEx0cOdRM3Y83plqk\nhHH40xbMMhjzsygpdkz/giSyY3st/3q+h3C3m+FRP7nZ8/d6aZFgSKKrqR8jsDPJZbymw+GwkLsg\nG1f7KHsPNvHsE8mvYJQsPt7XiBHIXZirKQUaYNuOOj588ztaz/ciPbgEQxrsxRMa29MY2gNDXtzd\nQRTByNb7lyMaNaESAbC4roz9+wZRRoOcvKhwdxKa7wDkFTkJi8k1KHf94WvC/QtYtL6cnBJtfSfl\nT/Oxa+KOcTgceDyesX9PpUDn5dkwxqGb1lTZlvHm68+/BOCe+2uTOu9M2bBpEScPN/PFZ61svSd5\nCmYyP4vPv2xTu+LZzdy7STvegCjPPbuav/+uA6nfi4xASVFyFMxkroGiKFw61YUReOLpVZp8Fspq\nC+lt6ufIpy382Y+SZ8wk87N45/2zmBXIKnWwfFlp0uadKc+/sJZ/+8ejdDT2x+37fiYkcw0CgRB9\nVwYxAC+9tD7hre5nS1GRk71/vIgw5Oe7sz08tC15ik1Sn4X31MYqpUuLqVyQl7R5Z8r9O+s5tPsc\n3311jSceTk5nY0juGnT1uAj0e1FEgReeX4s5BWU254MmlOj169dz5MgRHnroIU6dOsWSJUsmvVbN\noJ4fyXTdtbQNIY/4kIwiq1YUpyzrdSo23FbO159cRur3cOZ8F2VJOCFMtvv04J4GRGDdHZWaXAOA\nksUF9DcP8Ltd3/G9F9cmfL5kr8GX37ZjDEoodhPFhTZNrsOWrYvZ1dTP1Qs9dHYNJ6X9dTLXQZZl\nTn95FRMK921ZrMk1MJtETHlWhCE/73xwlm33Jd6wT/az8NHeBkwKWIrtoMiaXIeNmxZy7I+X+OLI\nZTasSU6lhGSug88foqupHxHYqtFnoa62gP0mEdEd4PMvW1lSU5DwOZP9LPxu13cYgKLafEaG56/f\nJYKpjApN+Gi2b9+O2WzmxRdf5B/+4R/4m7/5m1SLFDcOHmxCQKB2Valmw1MMBpEF9YUYENi3vzHV\n4sSdpisDCG61I9vGDcmLdZ0tO3bUIQMDbcMZ2QL520hL4ds3LUyxJJNTkG/DWmjDrMCBTzKva9jx\nb9oxh2UEh4VF1dqNvb93i6o4nz/RmXFNcCRZ5srZHhQUtm1PfpOhmbJqRSmyxYDRH+JcQ2+qxYk7\n+w42Y1LAUeogN0eboVuCILBkbTkCAp8cbk61OHHH4w0xcnUECdi5Q1thHDNFE1qdIAj83d/9Hbt2\n7WLXrl0sWrQo1SLFhb4BL4E+L2EBHtBYHO54dmyvQwJG20dxezKrU9KRQ2p3wvq1ZZo1ZABysq3Y\nSx2YFdifYV+YDc39iN4gYZPIhnXaNWQAtkSe1abTXRmnwJ38Uu2Oeefm6tQKMg1LlxSpXcOCEqfO\ndadanLjy+fGrmCUFMdtKVWVuqsWZFEEQWHFbBQICn2VYG2pJkmm70IuCwnaNK29b7ltEWIDQgJfe\nAc/0L0gj9h5Q8wKyK5xJbXUfT7SrUWQA+/ZdUuOtagswmzQROTMpdruZnIpsTMC+Q9O3ukwXevrc\nhAa8hEW4/z7txUKP54FttSgotJzrQZLlVIsTNz6NGDLL1pdrvhtdzeICsJswh2S+/q4j1eLEjXMN\nvRh9YSSzgXWry1MtzrSs2ahm9HzxWWtqBYkzZ75RS5bdvVn7h0X3bqomLArIQz46u7UX7jBXPvm8\ndaxSU0W5dio1TYTJaKC8riDjPMVhSaL9Uh8ysGPn5CG8WkdXohOExxdiKOKmeFDjlm6U7TvU8j7t\nDf1IUmYocPv2NSIiUF5XiCkNEhYqF+QiOi2YJYUvvkpufdBE0dXjIjzkIywKkY5s2ue2u9SQk28i\nISiZwOeR8JQVGg5piuWuOyoJGwQY9dPWnqrqtfHl9PlujH4JyWpg9UrtJXWOx2AQqVxShIjA/gOZ\nc7hy/oRqHG/eqm0PcZQd2+uRgKG2Eby+UKrFiQvRSk3m/CxKNVapaTboSnSC2BdxUzjLnTid6eGm\nKC1xYsy1YpYVPjnWmmpx5o3bE2CkfTStDBmAu+5VT6hOfZ0ZSnTUkKlcWoTRkB5fObffVkHYJCK6\ngzRPUyc0HWjvHEUa9hE2CNx3T3WqxZkRoiiyaEUxIgIHD2ZGeNMXn7YA10/Z04Ht22uRAFfHKK4M\nCPU7cboLU1AtObtsSXJbas8Vp9OCs8wZ8RSn/7OgKAoN33UCsOWB2hRLMz/SY0dLMyRJpr2hPy3d\nFNFmMFFLPZ3Zu78JI5BTmY09SU0b4sHqVaVIZgMGX4iLjX2pFmdejLoCuDpdhIGd29Pny1IQBOpW\nlSEgcCQDNq39+1VDZuHyYk3nBYxn2/21SAJ4u90Mu/ypFmdetLYPI4/6CRsENt2ZPo2t7DYzuZXZ\nGIF9GXAa/eVnqiGzPo3WANTa3QoKVy/2pn2o3zcnOzCFZBS7ibokVBxJJOnzbZpGHD7agklWMOVn\nUVaSXm6K5UuLka1GTIH0TugJhSU6G1VDRmsNJaZDEASWr1czso+meYWIPftVj0x+VQ5ZWeljyAA8\nsHUxYQECfV7641BaM1WMjPrwdrsJC7Bjm3arQUyE1WqiYGEuRmDvvvRW4A7tb0JEYPGqkrQyZAB2\n7KhHAToa+whLUqrFmTOXWwfHKjXdcfuCVIszKyrKsjHkWDFLCp+leZjZ1xH5N2i4UtNMSa8nOQ1Q\nFIWLJ9VT3HR1U6yOfLkcj1js6cihT65gUsBckEVxYXoZMgCb711EWITwoJfuPneqxZkTwZBET/NA\nxJBJL48MgMlkoGRxPgbUkJR0Zc++JgxAYXUeVou2E5wnYseOemSg5/IAwVB6KnCDwz58vR7Cgnq6\nnm4UFzkw5WVhluFIGid6Hj6oJjjXrdF2pabJ2BRJjj/zbfp6ii9dHkD0qJWabtd4paaZkH53kcaJ\nuilkm4n6NHVTbLqrirBBQB7x0945kmpxZo0syzSe6kJB4f5t6bdhARgNIhX1hWpCT5pmZB84rNZh\ntRbZKCywpVqcObEzpnZ3IJB+CT2BQJjeK4NqXkCaeWSixNbuPpSmnpk9e9VKTcWL87GY08+QAdgc\nKf148WR61u7u6/cQ6I+UnN2SHgnO41m5vATJasDkD3PmQk+qxZkTn0QqNS1dp/1KTTNBV6LjzDdp\n0FBiOkRRVGMnEThwIP3iQb/6th1TWAaHmZpF6WnIwPXa3SPXRvF400uBk2WZy2e7UVB4IM1CCGLJ\nycnCVmLHpMC+w5dTLc6s2RcxZGwldvJys1ItzpyJevUaz6Rf7W6/P8Rg63BaGzIAS+oKkbOMmIIS\np86mX6jf3n2NGICyNKnUNBmrNqie4mNH089T3NXrIjzoJSQKbE2DkrMzQVei48il5n6EqJtifXq7\nKXY8oGZku7tcjLgCqRZnVpyINJS4I02qEEyGw24hu8KJEdifZrW7j319DVNYQXBaqF6Yl2px5sUD\n2+rGanfLaZTQI8kyred60qKhxHTULMpHidTu/upkermy9x5UE5wdZU5ysrXZGW+mrLtDrSqSbqF+\nHk+Q4WvpVXJ2Mu69e6HqKR720d41mmpxZsX+fWpewIKlhWlTqWk6MuNdaIRPD1/OGDeF1Woiryon\nkpGdPuEEFxv7MHjDhM0it61Nb0MGYHskoefqxb60ysg+9WW0oUT6nzZUVV6v3X0sjcoOfvZFGyZJ\nQcyxUlmRk2px5s3td6vevRNplFQlyTJXL/RFDJn09chEuXNjJWGjgOIK0HotfWp37z3QFOmMl43D\nkV4JzuMRRZGqpZHSj2lULWXUHWC0Y5Qw8GAaeyfHoyvRcaKr10Vo0EtIhK0ZoDjA9YSe7uYBQuH0\nSOg5GnG5r1ifXpnXk1FW4sQQqd199Fh6KA9nL/Rg9IeRLAbWrNJ+Q4mZcGekdvfpNGqAc/abdgDu\n2ZIeDSWmY8N6tXa34AnS3JIetbs//awVU7QzXpm2O+PNBFEUWbyiBBGBQwfTQ4ELh2U6GvvSslLT\nZOzYFqnd3eli1J0enuJ9kZKzeVU52GzpbcjEoivRcWLMTbGkCKMxMz7WokI75oIsTDIcSYP4q85u\nF+FhHyFR4L7N1akWJ27cc5+qwJ39tj3FksyMY5+qyV8r06yE1FSsXV0Wqd0dTova3afOdWMMSEhW\nIyuXFadanLggCAL1q9Ordve5aGe8+zPDkAG1ukhYAF+Ph+FRX6rFmZbDR69ginTGK0njznixZGWZ\nyB3zFGvfmAmGJLqa1JKzD6ZhpaapyAxtL8WMumLcFNszx00BsCXSFrXhlPYzsqOd8aqWF2FIw/JF\nk7FiWQlSpHb3mfPaTui52jGMPOInZBDYfHf6JtdOxLL15QAc/UT7CYbHI4bMmjvSpzPeTLh/S6R2\nd7+X/kFt1+4+carzeme8+vTojDcTLBYjhdW5GNB+7W5Zlq93xkvTSk2TsTPiKe5q6te8p/jQkcuY\nFLAUpm+lpsnIHE0jheyNtPjONDcFQF1tIbLNhCkoc+J0V6rFmZRRlx9Pl4uwADu3ZYbLLpZo7e4v\nNO4ROLhfLV+0aEX6NZSYjvvuXURIFAgP+jRdu7vl6jCKK0DIKLApw5Rok8lASW2BWrtb46Ufv/q8\nFYD1d2WWMQnXFbjeK4Oart09VnLWbqJucfpWapqIdPEUy7JM05lIydkMO2QEXYmeN8GQRHfTQEbF\nW41n/Z3qRvz1sdbUCjIFe/aq5YsKFuaSZU3POqxTcc9dVYQMAtKInw6NZmQPD/vw9kQ646Vpo6Gp\nSJfa3YcPNiEgULuqNOMMGYCdkdKPA23D+DVau/tyyyC4A4SMIndsSP8E5/Hk59mwFtkwKXDwiHY9\nM99+oVZq2ripOrWCJIj7Io17tOwpPv5NO6awAk4Li9O8UtNEZN43bJI5GOOmKCqwp1qchHDHhgWE\njCK4ArRcHUq1ODcRDIbpiTaUeDAzDRlRFFm4rChSu1ubLtQ9kTqsRYvysKRhZ7yZsPOG2t3BVItz\nEwOD3uud8bZmThxuLDnZVuylDkwK7D+kTQXucKShRP3a9OyMNxPuj5R+bD7TrcnSjw1N/YjeEGGT\nyIZ15akWJyHU1xSMeYpPatRT/F2k5OxdkeTsTCMzn+4kIcsyzRnspogiiiI1K0sQEDh8UHsJPfsj\nDSWyiu3k52ZWvFUsOx6oI4w2M7L9/jD9rUORhhKZlTgSi8NuxlmRrdbu1uCzsHef2hmvpLYAc5p2\nxpsJ27arClzree3V7u7tcxPs9xJK4854M2HRwjxwmDGFZb46ob3a3Z8eVp/PZesr0r7k7FREPcXR\n8CEtcb6hF4MvTNhiYN3qslSLkxB0JXoefH2yQ3VTODLTTRHLtvtr1IzsXg/DI9rJyJZlmSuRhhLb\nMqj25ERkZcXW7tbWafTBI80YFbCXOsjNSe+GEtOxY3sdMgrXGrRVuzsQDDN4NdpQIrOfhcqKHMRs\nKyZJ4ZjGyg7uP9CECJTXFWIypm9nvJkQDZM4efxqagUZR3efm/CQWqlpS4aegEYZ8xS7A7S0actT\n/PknkUpNt2VeSFMUXYmeBycjDSVuu6sqxZIkHovZSGF1npqRvV87CtyJU51jhszCqtxUi5Nwdu6o\nG8vIDoe1ocDJssyV872qR+b+zIuFHk9ZqRNjbhYmWeGohk5/Dh65PGbIZDsz25ABuDNSxvK0hhrg\nBIJhhiKd8XZmuCEDcNvacrV2tzdI05WBVIszxsGDasnZivqCjCk5OxmiKFK7OuIp1lDpx94+91jJ\n2c1p3j14KjL77kog7R0jkcQRgdszNN5qPA/urLuekR0Mp1ocAL6NxFutz7AqBJNRVOgYy8g+fPRK\nqsUB4OSZbkxhGcVuviUMGYB77lPd9Oc05Ma+HPHI3JdBNYmnYu3KMsIWbdXuPvTJFYwK2IrtOB2W\nVIuTcARBYMnacgQEPtGIAhcMhhmKeGR2ZFhZu8nYtuW6p3hwWBue4gOHmhERKK8tyKiSs+NJu3f2\n212nNKHAHTqsJo5ULy3O2MSR8eTl2rAW2TWTkd3Z7UIZDRAyCGzMYHfReKJKUsOpzhRLovJNpA3z\nuo23hiEDsGJZMZLViDEgceZ8T6rF4eSZLkwh1ZBZXJXZoWWxrFivPvdHNfB9BNB8rvuWMmQA7r9v\nMSEBggM++gY8qRaHQ5+2YIzkyDgdme+RATCbjRQtztdM6cdgMMxg2zASsD3DDZm00/5GW4fZn2KL\n1+cPMdrhIowaK3wrsXVbrZqRfS71isPBSCmvqqVFt4whA1BfU4gUycg+dTa1GdldPS6UUbW5yp0Z\n1KFwJqzaEKnd/Vnqa7RGy0+uucXW4L57q9Xa3UN+evtTq8CdOtuFKSgj28zUVOenVJZkYjSKlNYW\nIAIHNNAKvPms2pBqS4ZWp5mMB///9u48Osry/vv4e5ZAMjOB7BuBhEAgJJCEgLJHWax1q7VtKFix\ny7FQq21ttadH2+MPrRb1aalaPP7sz2oVn1qF4/LYnxsBAYGIoAQkrAEiIQuTkIVsk8xyP3/MQkAk\nM8nM3MPM93WOx0MymdzwmXvme933dX2vb0zADjSdaFV985WPPq5Br0B0spGRI8J7IHPZVR4KCser\nzKquyC7fdAw9EJsRG3abqwwkJysexTiMKKuDz/aqdyXUYrHRfuqsc6Qbhj2JB1J0hfMK3CfbvlT1\nONwDmcyJSRE1kAGYO3sMVq0Ge1sPZhU3X2ls6sTu2iVydgTdDQDQabWkj09Ai/O1qKZPtjvPxaIw\n7As9kG8scrZ+bK5pU7WA21d1Gn2fHXuMnnFjI2cgAxA3MproJGfv7o+2qDuwP+Jqt1d6dXgv6oTL\nsIjGNJwom3o9ER0OBycORM4iqospdl3t2rVdvQKufHM1esCYbsIYYQMZgDkz3JuvqLd7Xm+fjTbX\nQOYbC8N/EdWFdFotGbmJzt7dKhZwnkVUuZE3kIF+BdyXbapN9TM3dWJ3LaKaPTP8F5pfKG5ktGfz\nFTULuIptzt89ZVpk3ZFxm+daq3F4n3p3KL84cG4gM2FckmrHESyX3Tuue97lrgp1CrjP9zYQZXOA\naThjMkeqcgxqm3XlaKw6DY6zFhpOd6hyDJ5uEPMjcyCj1WqdRRMa1a7AubtBGFJNmIyRN5AB58Il\nO9Bysl2VAi4SF1FdaOSIaGJcazU++rhGlWOIlEVUl1Lq6ol9WKULXObmLmytFqxaDXNnR95ABmBi\nbhL2GOdajf0H1Zly6Z7e5l6vEO4uu7N9xvRRWHUalLO9qmx/7C7eI2kR1YW0Wi2ZE5PQqFTAfba3\n3rOIKlK6QVyMu4BrPdlOrwoFnLsbxNULI2vuYX8jYqOJSTGiV2DT1uBfgdu45Xi/RVTh3w3i65TO\ndxZwR1Qo4CJpEdWlTBjnKuD61Cngyjc6+3Onj0+I2IEMQIGrW9gOFd6PzrR0uwYyUDonK+i/Xw2X\n3StNq9UyJi8ZDRo2BnmBYf9uEDMicN5bf99Y6LyF2nbqLBZLcAs4dzeI4ghbRHWhWNNwDKnOAm7j\n5uC2u6v8wtUNwhBZ3SAuxr2A6agKt1Crv3B2g7g6whY4Xyg3J9FTwAW7W8qmra5uEBGwiGog7quP\n24NcwFltdppr2lx3ZCJvall/pXOzsWrB2mrhTEt3UH/3h+XOgUzauMi5I3NZ/i2vWei8Atd+6iw9\nFmvQfq97EdXoCOsGcTEm4zCMaSZXARe89lKNpzs8i6hmRfDdALer549DQeGYa0V6sLgXNBZeEdmD\nSYBxYxOwG/Tog9wtxbmIyoHDEBVR3SC+jnserHtebLAc3ec899xXwyNZ6ZwsrFqwtVqC2u7uoy0n\niFIgOtkQ8QMZnVZLWo5zse2HQbxTbLXZaTrRGnEDmcuyEjQahmFKN6EneP2Kz+sGEaELCi80f4Gr\ngNt/OmjdUspdcw8jsRvExeRkJ6AYhqG3Bq+AMzd1Ym/vwarTMGdGZM49vFChq4D7JIiLbd3FYmGE\nLqK6kLtbSjDb3fVfRJWbkxiU3xnKdFotaeOC3+7OvZDOPS870rkX2waz3d3mrc6BzPAkA3EjI2cg\nc9lWIfMXOvsVn6gKTgG3cbOzrZ0xLXIXUV0oe4yr3Z3NwZ59gb8S2n9LXRnInOPuDRysdncbPN0g\nEmUg4zJnVnDb3fVfRDVnlgxkQJ12d5G2iMobwW53V3XIjL7Xjj06MrpBeCMuLsbT7m5zkKbWHHKt\nR3B3CIkUQfsEVBSFefPmsWzZMpYtW8Zf//pXACorK1m8eDFLly5lzZo1Xj9fVmacq92dwmdB2Lnt\nWJVzEdX8CJ97eCFPu7sdgS/gPFvqpkb2IqoLzZ4x+ly7uwB3S+nrs9Hi6gYRif25v06w292Vl8si\nqosJZru7pjNdEbeIyhvB7lfsnn+dX5IR8N91OXEXs4eCsNj2QL+BTF5uZA1kgvbue/LkSQoKCli7\ndi1r167l17/+NQArV67kL3/5C6+++ir79u3j4MGDXj9nyQznnNjdn5wMyDG79e8GkR3hi6gu1L/d\nXX1jYAs495a6kbYT1UC0Wi2ZE1zt7gK82NaziCrFyIjYyLll541gtbuz2uw0fymLqC4mmO3uNkTg\nIipvedrdBXix7ZmWbqwtPc6BzOzsgP6uy83E3CTs0c52d1WHzAH9Xdtdd2QmTU0P6O8JRUE786uq\nqjCbzdx+++0sX76cEydO0NnZSV9fH6NHO4vhuXPnsmPHDq+f88pQdnjwAAAeaUlEQVRp59rdnapv\nD9ShSzeIS9BqtYye6O6WErgrcP231M2RRVRf4V5s21ob2HZ3nkVUMvfwK4LV7u7cIirpBnExwWh3\nJ90gLm3C+OD0K3YPZFJzEtDrZSBzoQLX1flAdks509pN35kerBq4ak7471B4oYC86tatW8dNN910\n3n8pKSmsWLGCl19+mRUrVvDb3/6Wrq4uTCaT5+eMRiMdHd5fzdRqtWRNSkGDhk2bArPAULpBDMxd\nwLXVBq7dnWdLXekGcVHntbsL0GLb/lvqyiKqiwtGu7tzi6gi7wPLG8Fodxepi6h84e5XHKgCzmZz\nYHZ1g7hWBjIXNW+2q91dS0/A2t2Vl1dH9EBGH4gnLSsro6ys7LyvWSwWdDodANOmTcNsNmM0Gunq\nOreKurOzkxEjRlzyuePjDej1Os+fl3y/mP+z/wPaT53FaByOwcstoJOTY7163GvrvkCLhuwpaaSm\nRuYOhQNJToaRmSPpPNXO9k9OsqSsyMuf8y6D+oaz2Nss2HUabr6+AF0Enqje+PYtU/j3f1dwrMpM\n8m3TvfoZbzMA+LTiUwBmlOb49HORJDk5lg/+cwh9Vx/Hvmxl5nTvFv15++/5WWUd+l47DkMUc2ZK\nEf11ZpTmsPuDI3xa8SULr/Zu7r4vr+nD+xrRATfelC/nwtf47s1TeOiTWrStFuwOSEv17t/J23/P\nt/9zwDmQSTWRm5sylEMNa2MmpdJQdZotW0+w4qczvfoZbzOwugYyWuD7i4tITjIN+DPhJiBF9MWs\nWbOGuLg47rjjDg4dOkRGRgYmk4moqChqa2vJzMxk+/bt3H333Zd8ntbWr46mTBmx9NR38O91e7np\n+rwBjyU5OZampoGvePf22TAfP4MGZwNzb34mUpWWZvO//6qkavcpTpdmD9i1wdsMAF5fv9c50h2f\nSEtr8HqPXm4S4qKd7e66rXyw8QglhZeen+ZLBubmLnqbu7FrNZQUpcm5cAmTSzKo+riGDe8dZlzW\nwGsofMnh/f8cACC/OF0yuISSojQqNhzF0dxN1cFGUpKMl3y8LxkcOGRGZ7Fhj9aTnmqSHC4hdVwC\nZ46e4bV1ldz6/eIBH+9LDp9V1KAHZs3Okgwu4ep52bxSdZpTh5uob2gjqt9FyIvxJYONW46hdyjo\nE2NAUcI2h0sNKoJ2SW/58uXs2rWLZcuW8fjjj7Nq1SoAHnroIe677z7KysrIz8+nsLDQ5+desMDV\n7u6Af9vdebpBRPiWut7IClC7u/5b6n4jgrfU9Za73d2n22v8+ryeLXXHSTeIgQSq3d2Zlm6srm4Q\n82QR1SUFst1dJC+i8lWg2t0dPNKE3mLHFq1j0sRkvz1vOIqLi2F4gNrdHdzjnFo2Z17k3hUL2qfh\niBEjeO6551i7di0vvvgiY8c6/9GLiop47bXXWL9+Pffcc8+gnntM5siAtLtzd4O4StraeWWqa874\np35sd9d/S13pBjGwc+3uLH5rd9d/EdU1MvdwQIFqd+fpBhGhcw995S7gzvix3V2kL6LyVaDa3W3b\nchyAScXS1s4bgWh3d+hoMzqLDdtwHfl5kTudJmzeiUtmutrdVfin3d3e/Y2ebhCypa53Zl6R6eqW\n4r92d7Klrm8C0e6u/5a6sojKO/5ud9d/EZV0g/COu92d3o/t7iJ9EdVguAs4f7W7a2nrodc1kLl6\nrgxkvJEXgHZ3H7sGMnlFkX1HJmzeBa4sGYVVr0Hp8E+7u0+21QBQNF26QXhLq9UyOs/Z7s4ft1Bl\nS93B8Xe7O9lS13f+bne3eVu/bhBxMX44wsjgz3Z3NpuD08dbnHdkrpGBjLcm5vq33d2G8qPogJSx\n8TKQ8UG+H7ultLVb6G3udg5kSiN7IBM2r0CtVkt2XoqrX/HQrsCZmzqxtfVg1WqYPVO21PXFNQuc\nBVz7qaG3u3NvqTt5mgxkfOFsd2fyS7s72VJ38PzZ7u7gHuc0tbkR/oHlK3+2u9uy3TWQSYwhQQYy\nPnG3u9sxxALOPZBxIFPLfFU6x3/t7j50DWSSx8YPuFAx3IVNEQ2waME4bMDZug66u/sG/TwbNlaj\nRUNGruxE5SuTcRjGNBN6oHzz4Acz57bU1TBvtmyp66urF45DQaF6/9AKB8+WulNl7qGvxo1NwG7Q\no+9zUPnF4AvpA4eb0Pe6FlFNkEVUvpoyzbnYtmLb0Ao4WUQ1eKVzXQVcq4XmM4PvsPTxjhqiHBCV\nEENigsGPRxj+9HotaTnOxbZDWathdzhoPHYGBzK1DMKsiDYYhjFiVKyzgBvkFTjpBjF07m4px/eb\nB90t5dyWutINYjByxsSjGIYRZXXw2d7BLbY909pvS9052f49wAhRNN1ZwLk3CxqM7VtlEdVQzJ3t\n7JZia7Vgbh5cASeLqIZGp9WSNi7RVcAN/uJK1efO97I5ckdmUNyLbc0nWgfdLWXr9i+JcoA+PloG\nMoRZEQ2w0FXA1RwcXAH30cc10g1iiLLGxHna3X0+iHZ3sqWufxRd6Szgdg2yW4psqTt0s2cOrd2d\nLKIaOn+0u/MsopKBzKC5C7immsEVcEeOnRvIFMhAZlDOa3c3yMW2VZ/XATBb7sgAYVhEZ4461+5u\n9x7fr8C5F6BIN4ihmTrDOZd8144an3/WvaVutGypOySzrxx8uzubzYH5uGypO1RDbXfnWUSVI4uo\nhmIo7e7OW0Q1LzsgxxcJhtrubutm50Bm4gCbSIlL87S7G0Q74CPHmtH12LAN0zElP9Xfh3ZZCst3\n5WmznAXc7k8GbnfncDg4eKSJV17dw9N/3iLdIPxk5vRRrnZ3vdQ1nB3w8T0WK5u3neB//mcnhz49\nBZw72cXgaLVaMif61u6uruEsb75zgP9+ZodnEZV0gxgaX9vd2WzOKThr/+/nmKtlEZU/DKbdXftZ\nCxs3H+Nfaz+XRVR+4mu7O4fDwbGaFt78fwewNDkHMvOvkiugQ9G/3d0BL9vd9fXZ2F1Zz4Z3DwMw\nIcLb2vUXtG2/g+mKqRns/OgY+o5eTtW1O69O9+NwOBf6VO6p52xjJ1EOBQAdCvaYKK67OV+Nww4r\n7nZ3jVVmNm6s5vbbSr7ymDOt3VTsPMnJ6hYcnX30/3gaOTaOibnSDWKorlkwnpcONHna3Q0fdv4p\nb3c42Lv/NPv3NdDW2EGUzX0ugFWv4frrJqpw1OHF3e6uz9zFpq0n+OZFCuKmM118uvsUtcdbsLb3\net6YdSjE5ySQGC9zD4eqdH4O5a9/wZG9DVy78KvrXWw2B3urGjl44DStDZ3o+mxo0KABrFqZWuYP\nE3OT2BCtR2+xsf/gaSZP+urVzMbTHXxeWU9tTSu9bRainG9J6ICMSckykPGD/KkZHK44ybatJy46\nx7+vz8a+A2aOHDbT0tgJPTZ0OK+6WnUa5ssdGY+wLKK1Wi3Zk1Ko++I0GzdV88Nl07DZHOzeU0fV\nF410N3Whd52YWkAxDSM7N5HZM7Nk+oAfXbNgPP+sMnva3UVH66k52cqnu05hrm1Ha7F6PqQcWg3G\nFCMFU9IoKcqQW9d+4m5313u6k/KPjnHDtRM522Fh565TfHm8hZ7m7vMKNnt0FKljRjJteiY5Y+JV\nPfZwcvX8cXz42j6O7mvgm4tyPQXbgf2NtJ3uRNdnd50JgAZ0cdFkj0/iyumZ8p7kJ7k5iXwQo0ff\nY2Nf1WkKC1I5eaqdPZX1NNS2YWvv9QzkdSjYo3TEpZmYlJ9K0ZQ0Kd78pKAkg0M7TrJj6wkmT0ql\n/ayFz/bUc+LYGbpbutG7BvJw7vM5NXMkhYVpcofYT0rnZLP/k5M4Wno409pNrHGYp2huPd2F0m3t\ndy44C+fo+BhGj01gxvRMhg0Ly9JxUDSKoigDPyx0NDV5N7ezx2Ll+Se3AzA8IYbelh5PsWAH9HHR\n5OYlM+vK0RgMwwJzsIIXX9qNpaETxTQMW4+VKPu5l5stSkti5gimlWSSOy4BrXThCIjjJ1t5/1+V\n2LRatMN1aHqsaF0Fmw0YFh9NTm4SM67IlMW0AbTm6W3oum04jFE4uqye9yMFBftwPUmjRlBYmM6k\nCUlyLgTIlm01HNhWg1WnAQXPXUgAqwai42PIHpfI9GmjpBd0gNgdDp7581Z0DnBEadFZzw0gHYAS\noycpPZZJ+akU5KXIBZUAeW39PlqqW7DqNGjtynl3gq06DQZX0VxUmEZaskm14wwFycmxX/u9sB1O\nxERHMWJULN11HdhbekAD+kQDkwpSuf6beZxt71H7ECPCgvnj+d9/7UHjmq5hN0SROTae676Zx/Ao\neXMMhpwx8c5uKV1W6LFh1WuJTYtl1uxscrLjpIVgkBRdkcn+LTVou6w4+l1tvu7aidgH2W5K+Gbu\n7DHsrfiSKLuCHXAYokgdPZKrrhpHYtxwGbwEgXOxbRJNh5vRWO3YhumISzGROyGZaxaOp7OjV+1D\njAjXLsrlleqdRNmV8640z78qh2EycPFa2F6JBujo7OW9D44wdmw8UwvPTRFITo716XnE0HxcUYOl\nx8bMK0cTaxoOSAbB1tjUyeef11E4JY3MDOcaAckg+LZVfElcXDT5E5M9BZvkEFyn6ttpaOygcHKa\nZ42AZBBcdoeDL6pOMzYrnpEjzt39khyCq9HVdrP/lWbJ4KsudSU6rIvoryMvEvVJBuqTDEKD5KA+\nySA0SA7qkwy+6lJFtFyzF0IIIYQQwkdSRAshhBBCCOEjKaKFEEIIIYTwkRTRQgghhBBC+EiKaCGE\nEEIIIXwkRbQQQgghhBA+kiJaCCGEEEIIH0kRLYQQQgghhI+kiBZCCCGEEMJHUkQLIYQQQgjhIymi\nhRBCCCGE8JEU0UIIIYQQQvhIimghhBBCCCF8JEW0EEIIIYQQPpIiWgghhBBCCB9JES2EEEIIIYSP\nAlpEb9iwgXvvvdfz58rKShYvXszSpUtZs2aN5+tr1qyhrKyMJUuWsG/fvkAekhBCCCGEEEOmD9QT\nP/LII2zfvp38/HzP11auXMnf/vY3Ro8ezfLlyzl48CAOh4Ndu3axbt06Ghoa+MUvfsH69esDdVhC\nCCGEEEIMWcCuRJeUlLBy5UoURQGgs7OTvr4+Ro8eDcDcuXPZsWMHn3/+OXPmzAEgPT0du91Oa2tr\noA5LCCGEEEKIIRvyleh169bx8ssvn/e1VatWcf3117Nz507P1zo7OzGZTJ4/G41GamtrGT58OHFx\nced9vbOzk/j4+KEemhBCCCGEEAEx5CK6rKyMsrKyAR9nMpno6ury/Lmzs5MRI0YQFRV13te7urqI\njY392udJTv767/nCX88jBk8yUJ9kEBokB/VJBqFBclCfZOC9oHXnMJlMREVFUVtbi6IobN++nenT\np1NSUsK2bdtQFIX6+nocDsd5V6aFEEIIIYQINQFbWAig0WjQaDSePz/00EPcd9992O125s6dS2Fh\nIQDTp0/n+9//Pg6Hg//6r/8K5CEJIYQQQggxZBrFvfJPCCGEEEII4RXZbEUIIYQQQggfSREthBBC\nCCGEj6SIFkIIIYQQwkdhW0S/8847rFq1Su3DiGiSgfokg9AgOahPMggNkoP6JAP/CWh3DjXU1tby\nyCOPkJSUxLJly9Q+nIgkGahPMggNkoP6JIPQIDmoTzLwv7C7Er1582ZGjx7No48+yp49e3jrrbdk\nG/EgkwzUJxmEBslBfZJBaJAc1CcZ+J9u5cqVK9U+iMFSFAWNRsOnn35KW1sbKSkpxMbG8tRTT7Fz\n507i4+PZt28fe/fuJSkpiZSUFLUPOexIBuqTDEKD5KA+ySA0SA7qkwyC47IuojUaDRaLhT/84Q8M\nHz6c8ePHk5qaSktLC2PGjGHFihXMnDmTrVu3kpGRQVZWltqHHHYkA/VJBqFBclCfZBAaJAf1SQbB\ncdnPiV6/fj1ms5m6ujr27NnDvHnz+OlPf4pGo8FmsxEbG4vBYKCtrU3tQw1bkoH6JIPQIDmoTzII\nDZKD+iSDwLusrkT39PSwevVqGhsbsVqtpKWl4XA4uO666zh79ixms5kxY8YQHx9PeXk5f/nLX6iu\nrmbv3r0sXryYhIQEtf8Klz3JQH2SQWiQHNQnGYQGyUF9koE6LpsiurGxkQceeICkpCQyMjJ4/PHH\nWbhwITk5OaSmpgKwf/9+dDqd52uKoqDT6bj//vtlvo8fSAbqkwxCg+SgPskgNEgO6pMM1BPyRbTZ\nbMZoNNLT08OOHTv4/e9/z6RJk2hoaODtt9/mhhtuACA9PZ2amhqOHDlCUlISo0aNoqCggOLiYqKi\nolT+W1zeJAP1SQahQXJQn2QQGiQH9UkG6gvZIrq2tpZVq1bx7rvvYrFY6O3tpb29nREjRpCWlsbs\n2bN56qmnyM3NJTMzEwCDwUBDQwOFhYXExsaq/De4/EkG6pMMQoPkoD7JIDRIDuqTDEJHSBbR3d3d\nPPbYY8yaNYsbbriBd955h8mTJ1NdXY3NZiM9PR2DwYBWq+WTTz5h/vz5ACQkJDBt2jR5gfiBZKA+\nySA0SA7qkwxCg+SgPskgtITkZiutra1UVlZyyy23kJ+fj0ajoauri+985ztUV1ezefNmANrb25k+\nfbq6BxumJAP1SQbqUhQFkBxCgWSgLjkXQodkEFpCosWdw+FAq3XW83a7nVGjRvH00097vqfT6cjO\nzmb8+PFcddVVfPTRR7z77rvodDpuvPFGNQ89LEkG6nA3xwfnv7lkoI4vv/ySrKwsNBqN5KCSrq4u\njEYjIOeCmvbt28eUKVPkXAgR8tkcelQtopuamli9ejXp6ekUFxdTWlrqeVHk5+cDsGvXLtra2hg/\nfjwtLS2MHTuW2bNnc/ToUc9jxOA1NTWxZs0aiouLmTBhAgUFBZ6rDpJB8Dz22GPk5OSwePFiAE8x\nLRkEj9ls5tlnn6W5uZkHH3yQpKQkz+BecggOs9nME088QXJyMtdeey3FxcVyLqigqamJV155heee\ne46///3vlJaWSg5B1tTUxDPPPENJSQkTJkwgLy9PPptDkGrTOQ4dOsS9995LQUEBhYWF/OpXv8Jm\ns3lWijocDsA5gb6wsJA333yTu+66i7q6OqKiouQF4gfV1dXcd999ZGRkYLFYWL16NQ6HA73eObay\n2+2AZBBINpsNgCNHjvDBBx/Q0NAAnCuiJYPgqKioYNmyZcyfP58nn3yS5ORkTwaKokgOQXD69Gn+\n9Kc/sWDBAr797W/T09MD4LkKKhkEx7p167j77rvRaDR85zvfobCwEOC8u2QgOQTSwYMHueeee0hO\nTqajo4PHHnvsvM9mySB0BP1KtHvqxtmzZ8nMzOS2224DYN68eVRXV5OXlwfguQL05ptvUl1dzZIl\nS3jyySc9PQ/F4Lkz6OzsZOTIkaxYsYKamhoOHjxIV1cXsbGxnh6SIBkEkvtNMSsri/r6erZs2cKS\nJUs835cMAst9LuTk5DB8+HAA7rzzTlJTU0lLS+Ouu+5Co9FIDgHknsbU19eHxWIhJSWFJ554gry8\nPKqqqrjjjjs8nwcgGQRSR0cHRqORZ555hqSkJH7+859TU1NDcXGx5zHy2Rw47vcjq9VKQkICd911\nF+3t7Rw7dgyLxYLBYDhv+qtkoL6gdOdwv0n+8Y9/xGQykZGRQUtLC8XFxSQnJ9PU1MTbb79NWVkZ\nMTExgPPF5B75LlmyhO9973uYTKZAH2rY6p9BbGys5+rzFVdcQUJCAr/73e84fvw427ZtY9y4caSk\npGCz2Twnq2QwdBc7DwAqKyux2+387Gc/Y9WqVWzYsIGCggISEhLkPAiAC8+F9PR0TCYTx44d4513\n3uGBBx5gxowZ/O1vfyMvL4/09HSsVqunkJYchu5i50JTUxN1dXUcO3aMO+64g8LCQv785z9TVFRE\namqqZBAA/XMwGo2MHTuW3NxcDAYDLS0tVFZWsmjRIs/8dJDPZn+72GdzV1cXtbW1lJeX88ILL1Bf\nX8/OnTvJyckhOTlZPptDSFCuRLtPuPLycrq7uyksLGTKlCme77/33ntMnDiR+Ph4Ojs7MZlMnhfI\nd7/73WAcYti7MIPJkyeTnZ3t+f7Pf/5zioqKePrpp/nHP/7B6tWrPVdJJQP/6J+BxWIhLy8Po9FI\nTEwMp06d4qWXXqKjo4O4uDjGjRsHIOdBAPTPoaenh/z8fGJiYrjuuuuYOnWq527Y9ddfz+uvv87U\nqVM908wkB/+48P2oqKiItLQ0enp6qK6uZvny5SQlJXHDDTewdu1annjiCckgAC58T8rPz8dgMKAo\nCgkJCTQ0NFBRUcHNN9/suQIq70n+dbHP5pycHO68807uueceFi1axPLly3n66ad59tlneeqpp+Sz\nOYQEZU60oihs3bqV+fPn09DQwNatWz1fB2hububmm2/mjTfe4Pbbb6empiYYhxVRLszg448/Pu/7\n7m0/Y2JiuOKKK9Q4xLDXP4O6ujoqKioAqKmpYdOmTaSkpPDvf/+bs2fPsmPHDpWPNnz1z6G+vp5t\n27YBUFxczDXXXMPhw4c9j7v66qtVPNLwdeH70aZNmzCZTCxatIjx48fz7rvveh43Y8YMlY82fF34\nnuR+33F/Ni9evJjDhw9jt9vPm1Ij/OfrPpt7enpITEz0DOoNBgPFxcWebERoCMh0jv6tusA50urp\n6eF73/seMTExvPXWW8ycORODwQDAfffdx+bNm4mJieH+++8nKyvL34cUcXzJYPPmzbz++uu8+OKL\ndHd388Mf/vC823dicAbK4I033qC0tJSCggKuvfZaZs2ahcFgIDU11XNFSAzdQDm8+eabzJo1C6PR\nyIYNG3j55Zd59dVX6e3tZenSpZ4pZmLwvMlg7ty5TJw4Eb1eT3l5Oa+//jqtra38+Mc/lnPBT7z9\nXHC//9fV1XHixAmys7OJi4tT67DDirfnQlJSEkePHuXw4cM8//zzdHV18ZOf/ESmbYQYjeLHYY2i\nKJ4WdW52ux2dTuf5P8BvfvMbpk2bxg9+8APq6up45plnuOWWW+QKqB/4kkFJSQm33XYbiqLQ2NjI\nmTNnmDx5slqHHjZ8zeDWW2/1LCZx37IWQzeYcwHgzJkzmM1mJk2apMpxhxNfMpg6dSrLli0DoLOz\nk+bm5vOmnInB8/WzeenSpWi1WlpaWujs7GTMmDFqHXrY8CWD4uJibr/9dhwOB6dPn6apqcnTJUWE\nGCUAuru7lffff1+x2Wznfd3957179yo33XSTUlNTE4hfLxTJIBR4k8G3vvUtySDA5FxQn5wLoUFy\nUJ+8H4WXIU/n6L9SF+Ctt97i4Ycfpq6uDo1GQ2ZmpufqmlarRVEU0tLSSExMpLCw8LxRmRgcyUB9\nkkFokBzUJxmEBslBfZJB+Bv0dA7lIrcmFEVh5cqVLF26lLy8PBwOB21tbRiNRk8PVuWC+UBi8CQD\n9UkGoUFyUJ9kEBokB/VJBpFj0Mtt3RsQnDx5kueee46tW7fS29tLRUWFZ1FCfX09L730Ena73bOi\nVF4g/iMZqE8yCA2Sg/okg9AgOahPMogcXhfRdrud3bt3e7YlBvjwww893TSef/55PvzwQxYuXMjD\nDz9Md3c3b7/9NjU1Nej1enlx+IFkoD7JIDRIDuqTDEKD5KA+ySByeTUn+v333+fBBx/EbDbzyiuv\nEBUVRU5ODrt376awsJDCwkL+85//0NXVxb333kt9fT1vvPEGdrudBx54QNql+YFkoD7JIDRIDuqT\nDEKD5KA+ySCyXXJOdHNzM7/85S9JTk7mrrvuYsKECWzfvp3du3cTFRVFUlIS//znP8nPz+fRRx/l\ntddeY/LkyZSUlNDd3S29Pf1AMlCfZBAaJAf1SQahQXJQn2QgYIDpHIqikJiYyKJFi5gwYQKKojBz\n5kymTZtGR0cHiqJQVFREUVERL7zwAu+9957nhSEvEP+QDNQnGYQGyUF9kkFokBzUJxkIGKCITk5O\npqysjI0bN1JfX++ZLJ+WlkZjYyPz58/nZz/7Ge3t7cTExPDqq696tqgU/iEZqE8yCA2Sg/okg9Ag\nOahPMhDgxcLCkpISsrOzWb9+vedr48ePp7OzE5vNRlZWFnfeeSc/+tGPAnmcEU0yUJ9kEBokB/VJ\nBqFBclCfZCAGLKJNJhMLFiygtraW2tpaGhoauPfee8nKyiIpKQlAGoIHmGSgPskgNEgO6pMMQoPk\noD7JQOi9eVBeXh75+fnceuutTJgwgVtuuYUbb7wx0Mcm+pEM1CcZhAbJQX2SQWiQHNQnGUQ2r4ro\nYcOGsWjRInQ6HUuWLGHYsGGBPi5xAclAfZJBaJAc1CcZhAbJQX2SQWQb9LbfQgghhBBCRKpBb/st\nhBBCCCFEpJIiWgghhBBCCB9JES2EEEIIIYSPpIgWQgghhBDCR1JECyGEEEII4SMpooUQQgghhPCR\nFNFCCCGEEEL4SIpoIYQQQgghfPT/AWDiaLcgpPjyAAAAAElFTkSuQmCC\n", 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6nUyePJmzZ8/icDgYP348jRs35rHHHqNly5YAjB07lhtvvJFFixbx1VdfodFo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\ngWM2m3n66acxmUzMmzeP0tJSORcCrKGhgTfeeIOXXnqJl19+mWnTpkkGA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GPtuZr0CrRUN7x5sdB4CPcrtc9+vXT1dddZVuuOEGSVJZWZnHQwEA4Gu+zT+lguNVGtwz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\nt9tltVqd/y9J/+///T8NGDBAU6dOVV5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KNrtDV/aLUZdoi9FxWpT4aIsC27j0Eg4AaAIuvTKvWbNGTz31VL3bbrnlFg0d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\n9uZKYkkIAAAAzqBcN1JZZa3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5pb67StcSBzdRW8FfsqhTme8u6zqe7x/BnZs245LXvxztufi29Q6NGACArgBj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\nc85HT09P1VNS4BjTAqVSyWQyGVMul397/efXNzc3ZmpqyuT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SJJ67l4Uzy0IwWSYXkzQ55JkgCOc2w+BsmlBcZZGDmucqi2hcZRGLyTK5NO54lgJrlsVj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\n6OvrE32pMxrjIB5jIAfGQTzGQDzGQA6MQ3VmxMy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SaNVoc7yfO3XTxEyu0lPJQpId5r7xvXSEk0dcy2TLiEUU5+/QDd50+ifTY608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\nqYn8/HxaWlro0OHaczS/3w9Ig2Bqbm4G4OzZs3zzzTeUlZU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2ERFRd9h1hKhHjGYM9CU0qKHWHvawWlt9s8UfERFRZ4xSBSFFnvP+im4w0CYSzLJsjLXR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\nSE1NVTzi0HP9+Sg6OpqMjAzCw8Pp6Ojg/Pnz5ObmcuzYMTI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aRe6o1f4b3rjh+9OLxSKOHTuGWCyGAwcOYGRkd+TQEHml9FmRAGjebO0SYQwc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\nWhAEQRAEQRDOkv8Po08ktekjz1QAAAAASUVORK5CYII=\n", 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jR/HsZz876qHEgk6ZHhrikzjQqVANACZG0kgmRNrVBUgnzTPQlvXkPASCk7UAWAHcyqba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\nehwZt4NnvTLPsDTp0YDnEcBro3MspLMr7ncGE4Nnp+OG/plnHRvh2+Q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RnGgLVSiXdKJ1B/qhhx5CURTU+csUFEXB4/GwadMmzjnnnP6s8jQG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\nh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BEE0W5cxYqLspQNMTbiQJ4mmxD/3SaVnT2RjheSRENLBQrLJQrDLTpZHC0gM2JqKgfRNt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JglpZ0QESpR/mq47ocfV2GcFSqmi//vrrWLNmDQC99N2OHTvw8ssv4w9/+AME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7T/+Z//GQsLC7jzzjuxsrKC3/qt38KFF16Im266Cbt378Ztt92GBx98EJdeein27duH+++/H47j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\n3LlzdHV1sWLFCq2GvqCYrg533HFHIglGvSIXXBwzm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tJ598koULFwKWDMyKFSt49NFH+d3vfoeqqowYMYJZs2ahKArz589n3rx5+P1+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\ndC4CAZU3PjyOyaiwL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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -776,7 +768,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 30, "metadata": { "collapsed": false }, @@ -784,18 +776,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 20, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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DxlUzvoyamJ39DKKtGvE3xyG7xymA0pohDaIJOZnYfaI1hLnwgI+s+xMVgtu8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\nT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HY7co3dIhSbV3yAAGpv2Bu3BpHNByVjGr1hZKYFPvG/ivTffgomMvGLLNHABE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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -917,7 +909,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 31, "metadata": { "collapsed": false }, @@ -926,36 +918,36 @@ "name": "stdout", "output_type": "stream", "text": [ - " i_sc i_mp v_oc v_mp p_mp \\\n", - "2015-12-11 20:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-11 23:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-12 02:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-12 05:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-12 08:00:00-07:00 0.40838 0.370253 54.461042 44.621411 16.52122 \n", + " i_sc i_mp v_oc v_mp p_mp \\\n", + "2015-12-12 17:00:00-07:00 0.056138 0.050943 47.973628 31.542373 1.606849 \n", + "2015-12-12 20:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-12 23:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-13 02:00:00-07:00 NaN NaN NaN NaN NaN \n", + "2015-12-13 05:00:00-07:00 NaN NaN NaN NaN NaN \n", "\n", " i_x i_xx effective_irradiance \n", - "2015-12-11 20:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-11 23:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-12 02:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-12 05:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-12 08:00:00-07:00 0.397838 0.292243 0.080723 \n" + "2015-12-12 17:00:00-07:00 0.054675 0.040554 0.011097 \n", + "2015-12-12 20:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-12 23:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-13 02:00:00-07:00 NaN NaN 0.000000 \n", + "2015-12-13 05:00:00-07:00 NaN NaN 0.000000 \n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 23, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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K5vYm6RUtgaJhomhYDBxCRET2DXAaQPFQ7xVRhYUAnwteETEHIqWWDKIJqUGl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JOM4D9+QEHupph2hCEd0GeM3CBhgT7ZV6B5lMitU5gsJO4vHifauU9uJccIMo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\nCVnSQzEsk6YhJ9OJxtZu6LoOTbDRvJGlOm1Y/KVS6WEYnpNPoYlIiBJ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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -980,7 +972,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 32, "metadata": { "collapsed": true }, @@ -992,7 +984,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 33, "metadata": { "collapsed": false }, @@ -1009,7 +1001,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 34, "metadata": { "collapsed": false }, @@ -1021,7 +1013,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 35, "metadata": { "collapsed": false }, @@ -1029,18 +1021,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 27, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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CgEuyUk0ghOxH1EQTIpegzSUA6kCD4vXAohEtB5GeH64Ff4jwgALOnuREFlhe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\nXg/R69IpbQLKZQaj2I8A52LfsnKOQqGAz3/+8+jo6IBt27j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XY8mSJSP+Mzo7T3wFNRTK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qRUQkWpYkpNMJ5qX7wG/XSMBxovncqhcRc4Frc7yhE90EiMyJZg5ifVRK53Bz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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1068,7 +1060,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 36, "metadata": { "collapsed": false }, @@ -1086,7 +1078,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 37, "metadata": { "collapsed": false }, @@ -1111,7 +1103,7 @@ "Name: ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_, dtype: float64" ] }, - "execution_count": 29, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1123,7 +1115,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 38, "metadata": { "collapsed": false }, @@ -1131,18 +1123,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 30, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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PHXHafz8y92TUwxo4pUYNw7R9N5iAxU5tch7Xn3qriRGzeroXuhmWpLbAOjka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\nAAAAAElFTkSuQmCC\n", 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i2YCsX1u4uzgd65rWInXXix6v66ATXjHvSiANVR0xre6FDps7AQbSIuC6xdKq\naLa5l+VmEIb8kqiyOAt1zPjcHJrW+dRIkMmR/YyI6FWCaiAZ6aIOVHXDj8t40Y5QaedCat9I9IDp\nbW5kdGv0NKjh2gbZVOfOECqCOi3erB2hrNUGuhDRQ8q7XhqqOsbW6/tYbgZhJCeDh7plT5dN/6Am\nR0qpZT8iInqVoOpAR7pIYav6xWmJvnWEamgbTO+7kRn0R39PVURER42t1bryJwbI+SU5szIlrCOK\nXUxoUwzL5MiuUDaDCbfzCOg6GTzUNZN+4GSxMr928SZH2lRl8FDfISJ6lVDzO3fH8p2LaNUNPyWW\nUh1RbnjXQEXQFqIyBLM1sYqKGlfvzp8YFroSiIjuBLWpH8p2LqKVgKuJgOuI2WrFs9zUOr8X8mmx\nPu2W6RCa/ucHDxXl/dFviIheJdR9H8qRLl5aqn5RhENnqKlUi9lJrcsPATAnhvmRUmnUwLA7ntyp\nKPgNuiqiKgRDedqOdpEZG8xm/MmRIuA6YU+xe5tBTdPQ7CSWWJ92zIyfzep0+BNA2s8Sy/TO/kNE\n9CrBooZmmRhG55dURd/EzqgzavN2UvuKaDWpqmLLZxsl436kptPJnYpB1dRmiYjuhJpq7uxCRCcM\nHSxTXAk6ZNIXXN3YDALobhJXmto6ZrbuZXa7KW2aHzwk0zv7DhHRqwRHr6N36EOpUDd5SbrhO6Lh\nVnEdjaHsvrVv+w0M4rpNcSFEg/InTncpHFQ9rkwJ64z6EvdCEHQnKQ1VHaJEtHIG6pSEmwLDpmE3\nwljWmkON6x7Jdr6hVJ7p0ujcf4iIXgXYju01kHSZwm52w4uI7gTLb2hbzE4qkzTBStFARFmUzDfx\ndC2ivWxCVepxO0I1dxodTGhbiEEKdJkc2QlLWW4GQdXjyuTIzlAb8ZFc585ZeVM1OouI7jdERK8C\npsolNK3p89wpqpZXuuE7w1nGTkp3Uti6fLZRoiZC5rqoP4TmcApxJegMR+s+MwZ4te0alOuy+QyK\n6m3pZgAXLLA+LYmzUCdU55v+O5saCTCQ8idHSpa47xARvQoYD6GBBGDUr+WVbvjgOK4DRsNLfbbA\ndDNgWNQlLRoZKlLTTRMPQC6dxLUSWEgpQVC8zFij68wYLHAlkIaqwKgBXN3U4kKzNEoGD3VG3VVN\n/yF4pkujc98hInoVMBGCDyXAYMbvhndFRAdl2rcFXCoboDY5atMjhM9cSMJB910JbE0aqoIyVS56\nmbEOxxw570TZAAAgAElEQVQvREVBp0REB0aV5Q0v4hYUBPVemRbr047odmokNLPEMjmy/xARvQpQ\nvs65LkX0fDe8CIfAjPtTqVJLiOiM4V2f5+dk9HdUlJQ/8SJe3UHRXVOa2jpApf2VAO4GNTlySqKg\ngana3dsMwgLPdBk81BGOXke3u8vKqHpqyRL3HyKiVwHKzL3bFDZIN3ynqE74dKJ1SU3eH/29pySR\n6KioqMmdXXTCKww3BbpNw7G6PtZaQtlwZZa4F9ola3rHmBEBF5ian1HsZgAXNN8ryqpNaJ+wmv7X\nzZdaSm9AvyEiehUw59dJFdLdi+gEKVzphg/M/FSqJbIBA0lPRE9Kg05kKDeNboUDNEtzxDc9GFNt\n3AvtopwlZABUcBpuFdc2GMh0lxEQ69POCavpP5NM4toJ8UzvQ0RErwJUA8lwprvaN/BEtKbBXE0e\nmEGY9iNl+SU8WYcynrCbromIjgrl1T2S635DmfLHJcuAg2DMW6uFkBkrpLz7SSZHBsez3DTRNK2r\n4wxlvOsonunBUVMj03r3WRnp0ehPRESvAlQKOwwRreoYpRs+GCpaWUi1rsUd9UsM5iQtGhmWVgXb\nxEx03sSjUK4EUo8bjLmQrNUAhmRyZMe4eg19CbegdlGlURW5BoFRw59UP0w3GG4S15BSy35DRPQq\nIAwfSoXaMU9J9C0Q7dhJjeW866MmWAnhY4fkTwzNml6ZEhaMov/7PRTCpl4doyxR0EA07AYYNqbb\nfXOn8kyviWtTYOZLm7qcGgm+243uUG2IkO4nRESvAmpuBddtNh90Q7MbXkR0ENRLfngJV4j9CkMA\nVBwR0VHguI7XxBNC9A0gJ01tHdG8F7p/Hqnx6zVbRHQQJvwgSLLLWlyAgWwG1zZouFJKEJSZkHzr\nAUy/vGxCemr6ChHRqwCLGtgm6WSi62OpHbMIh2BU7OVHu44Wcri2Qd0VQRAFs9ViKE08ClXTK42F\nwWhaq3UvokdyeVwX6iLgAhGmzaCZ0MFKivVpB6iG2MF09/eCyhKruRBCfyAiehVgazV0O9l1Awk0\nhcNsXYRDEJQwXreEJ2vC0NGsFA1N0qJRsKfoRd+W8uoOgqrpLUlTWyBU2n9dCA4p+UwSbJOGuBIE\nomkz2H0ZAYDuivVpJ5TmS5u6961X13KqJOVl/YSI6BWO67q4Rt3ztA2BeTsjEQ6BaLg1XNtgMLe0\ngDOcNK5REwvBCFBpzqW8uoMw4De1laQeNxANqrhWgnw62fWx1AAoW0R0IKZDrMUFvBIp3cISz/RA\nqIbY0RB861V5mfRo9Bciolc4xXoZNDeUEbsAg0o4iCdoIDw7qSSGvvQtZZIBzaVUF2EWNu14dQdB\n1eNWpR43ELZWQ3PCyYyBREE7IcxaXADTHxZSFOvTQKhnRxhZmYI/rGtWRHRfISJ6haPGTSdD8KEE\nGMl6tVsVEQ6BcPQaurN85E3VtT1flNHfYTNdUV7d4QgHdS+IiG4f13Vx9TpGSA4poKKgDnW7Edox\nVztz9fBsBqH5fhHr02DU3arf9N99OYfKjM1JlrivEBG9whlXtW9GOCJ6vhvekbrddmk4Fuh2WyU1\n2YT3+e6eExEdNko4FEISDkPZLK6jiStBAKp2HXSn6zHHC1GuBEXp02ibop9JDMNmECBteJnOSWlq\nC0RDq4KVJGWaXR9LJkf2JyKiVzhT/kMtG1oKO4fraNTFE7RtZirt20mpKOlEaSbSNa1FlMgaWsKr\nOwjZdAIsaWoLghppH4a1mkIda0K869umMl+LG46IVu8XGTwUDFtrL0PZDso+tWyLiO4nRESvcFST\nQVgp7Ew6Abbp2eYJbaFe7u3YSQ2lvJfaVEUiOmFTUpM7QxIOhq6DY2JrUo/bLiozFsaYY4WKgop3\nffuoAVyjS7gFBSE/b30qIrpdlG99WE3/o/4ciJotAa5+QkT0Cme25j3Uwqp90zUNzU5iiydo20yW\n2y+pGc54L7WZmryMwqbpTxyOcAAwnBSuXsd13dCOuZpRmbGwrNWgGQWdFu/6tlG1uKMh1OLCAs90\nKalpm7la2fOtD6npfzRXwHW94WpC/yAieoVT9JsMlho3HRTDTeLqdbFhaxMVIcu2YSe1zh/9PdcQ\nER02NT/6NhZCJ7zCIAmaS9WWTWU7TFe83+uwrNUAsvOTI+WeaZcGNbDCGcAFMJD2rqc0tbXPHr/p\nP6ysTDZlSpa4D4lcRN93332cffbZADz55JO8/e1v5x3veAeXXnrpfHTnm9/8JmeccQZvfetbuf32\n26Ne0qpCNRmMhJTCBrymIA1qIhzaYqbWvivEWN4T0WVLIjph06CGayUoZMJralP1uNLU1h4zIWfG\noGnTJpMj28fRamhOKjSbwSF/4l5FmtraZrzo9b2E5VuvSZa4L1lymzo5Ocm1117L97//fZ544gl0\nXWfjxo2cfPLJvP3tb2dkZGTJg19zzTXcdNNN5HLeQ/Dyyy/nggsuYOvWrWzbto3bbruNLVu2sH37\ndm644QZqtRpvf/vbOf7440kmwynGX+1U7DIY4aawk1qaGl5UKVMIr7ZxtaJe7u24QowNDOC6GlVH\nXkZho7y6dT0c4QCQ1NOUgMlykbHsaGjHXa0oH+EwRfRAKgflpuOEsDSqFjdhhRdYGcl5mU6xPm0f\nlaHMJcK7Fww3ia1XcF03tA2S0B0tI9HXXnstf/RHf8TIyAif+cxnuOOOO7jzzjv57Gc/y+DgIB/6\n0If4x3/8xyUPvnHjRq666qr5iPODDz7I1q1bATjxxBPZuXMnDzzwAEcffTSmaZLP59m4cSOPPPJI\niD/i6kalsMMwc1ckdemGD8K8nVQbJTUDmRQ0kjSQl1HYuHoN3Q13853WpaktCCozNhyStRo0S9Uq\nDbln2qFcr4BGqDaDKtMp1qftMx3ywBuABGnQHWqWRKP7hZaR6PXr1/O1r31tn69v3ryZzZs38853\nvpPvfe97Sx78da97HU899dT8/y9szsnlcszNzVEsFikUCnt9vViU2rd2USN2B7LhPTBVg5wIh/Yo\nz7tCLC+idV1Ds1NYhkTVwqRm1Tx/Yjc8azVo1uOqQS7C0pStMujhimh1X0kUtD2UQ0pKCy+LOJhN\n49qGWJ8GoNn0H16/UlJLUQMmK0UONMN91gmd0VJEP/TQQ4yOjrJlyxb0FqOMTz311EAnW3icYrHI\nwMAA+XyeUqn5giqVSgwMLB1VHR7OkkgYgc4dBmNj4b0YwsL2U9j7rx8M7ZjDuQGeqkJDb/Tdz9xv\n6wHmXyy/fuD+ba3PJE3DmGVwJE3S6N6EP2768Ro8PeVdg3QiE+r6RvIDPFaEhl7vu5+739YD0PDr\nNQ875IDQ1rfJXg+PeTXv/fYz99t6AB6d+RUA+VQutPU5jguWiZXov2sA/Xkd6n4D4IZ1o6GtL5fM\nMQc0DHk39wstRXS9Xudzn/scTzzxBC972cs44YQTeMUrXsEhhxzS8cmOOOIIdu3axTHHHMMdd9zB\ncccdx1FHHcUVV1xBvV6nVqvx2GOPsXnz5iWPMzUVfxRvbKzAnj39FZl1XRdHr6NbA6GuLemnxJ+d\nnOyrn7kfrwF4gw1cAwzLaGt9STI0gEd/9Qz75ZbuK+g3+vUa/PzZZwFIkgp1fabv8bp7erqvfu5+\nvQ7evaDh1tzQ1mdXHVzboEqlr37mfr0GTzy3G4Ak6VDXpzlJbK3cdz9zv16HaX8WQNIJ75mUdNOg\nwZPP7mFj7oBQjhkG/XoNwqTVJqGliP7Yxz4GQK1W47777uOee+7hU5/6FOPj42zZsoU/+7M/a/vk\nqgD+oosu4pJLLqHRaLBp0yZOO+00NE3jXe96F2eddRaO43DBBRdIU2GbRJXCzqdyUBM7o3ZpuDWw\nTQqZ9n5v00aWEt7o75UmovuVpld3eNZqAAOpLJSaVpLC0ljUwE6GZq0G3uRI1zKxDKkDbYf5AVzJ\ncO8Fw01h67NYjkVCD+/6rlYqdgUMWJcPL0KbTWbAgqnq6hasK4ll74RUKsXAwADZbJbBwUEmJiaY\nmWl/ZPGGDRvYsWMHAIceeijbt2/f5++ceeaZnHnmmQGWLQBM+Z6sYY7YBb+RZxZKDakDbQdb80R0\nwmjPMTKXyDMB7ClOR7uwNcSUP3o9TH9igCF/1G7FknrcdrD1GnojHapzQMLQ0RwT25R63HaY9UX0\nQDK8WlwAkxQ2UGpUGEytzdR9EOpOFVcPV0QXzBxYMCuDh/qGliL65ptv5s4772TXrl1s2LCB448/\nnve85z0ceeSRYq3SJ4wrM/c2JuUFYViEQ9uokhqj0X5N+kAyDxZMlGX0d1ioJp4wO+FhgYiWprZl\ncVwH9AaGG15/hsJwUjj6HLZjY+jx98OsJJRb0EA63HshqaWpAjOVORHRbdCgCpZJLh1eZn0gnYOK\nTI7sJ1qK6AsvvJATTjiBK6+8kqOOOirONQltokRYNuQUtrIzqtoS+VmOutPwSmoC2EkNpQtQhOmq\niOiwmPW9usP0JwYYyYm1V7sUa2XQvIhl2CRIUgcqVnV+BLWwOCqDOBKiQwpAyp+8N1Ge45ChUA+9\nKlFN/2EGHZWNakk80/uGliL6pptu4s477+TKK6/kqaeeYuvWrZxwwgkcf/zxDA6GH2kQgqNq38JO\nYY/k8riuRk3sjJZlxi+pCSIchjMDUGxGT4XuicKfGKCQTuHahhdVEpZEbeqTIY05Xoippanj1aaL\niF6ail0BvbkBDIusP3lPlREKrXFdF9eoYzTC/V0d9gNcFVtEdL/QUkQfdthhHHbYYbzvfe+jWq1y\n11138aMf/YirrrqKbDbLddddF+c6hUWY8ZsLCiH6UALkMiZYCRqaCIflmCh5/QGpAMJhLD8Ie6Ao\nNeehUbG8KOhw2MLBb2prJOqhHnc1MlGKprwMIDU/OXKO/fNjoR9/NVFzPBEd5hRbgKyZBacZOBBa\nU2pUQHMxCbdfaTQnWeJ+Y9nGwieffJJ77rmHn/zkJ9x///1ks1mOPfbYONYmLIMaNz0YsohOJnSw\nk9imCIflmCh7L5RMov1swPqClwut2CKiw6Lq+J3wIQuHhKGj2UkcUyI/yzE5P+Y43MwYQNqQyZHt\n0nCruLbBUC5cAVdI5qAqGbR2UP1KQYIr7aCyxDL0pn9oKaL/4A/+gHvvvZfh4WGOO+44TjrpJD7+\n8Y8vOwhFiA/VQNLOpLwgaJqG7iRx9Glc15VG0iWYVq4QifYfliP5LK5tUHOlWS0s6m4V19EYzoYv\n4Aw3iaPPSlPbMsxEVF4GkPWFuSphE1pjaTWwkpghDyQbSHkiWqxPl0dlKMPOymTTJlimlJf1ES1F\n9Otf/3o+9alPMTYmqbN+pWJXQGs2AoaJ4SaxNJeaXSedCL9RaLUwM+/J2n7tWyaVgEaKhikiOiwa\neMIhmw5/AmSCFHWgbFUohGwbtpqIqrkTfGFuNc8htMYbwBX+7+lgOg8zUJamtmVRWZlsyFkZXdPQ\nbFOyxH1ES2PbnTt3Uiy23vU/+uijXHTRRZEsSmiPmuOJsLBT2OA18oDU7S6HisoUAggHL9KfxtFr\nni2Y0DWOVkNzwu2EV5iat4ksinhYkmI9mvIyaN5fxZpcg6Wo2w3QbRJu+IEPlfEUu8flma4ED660\ni+6mcPU6ruuGfmwhOC0j0R/5yEf4i7/4C3bv3s3LX/5y1q9fj2EYPPPMM+zatYv169fziU98Is61\nCi+g7lb82rfw06cpLU0FmCoXWZeRqXqtKPnCQVkPtYtJmrrmUrYq5E1xG+gG27FxjQZGPRrXINXU\nNlWe44DcfpGcYzVQslR5WfiZscFUzpscKRuZJVH1ymEP4IKm20dVRPSyzPjXIYoNpUmKmuZSsSpe\ns6fQU1qK6P33358vfvGLPPnkk/znf/4njz/+OLquc/DBB/P5z3+eQw45JM51CotgUQPLJJ0Mv05T\n1XJNledgNPTDrxrK/gslqHBIaVnqwGR5lvygiOhuUPZ2YXfCK5r3gtTjLkXFUtZq4WfGBucHQImI\nXoqoGtoABjJpXNugLvW4y6KyMgMRiOiklqYGTFdLIqL7gGXdOTZu3Mh73vOeGJYiBMUbsZuPJIWd\n8RvlpsXOaEmqdmd2Ulkjyxzw/NwUhwweEM3i1giTJa/+MBVB9A2a/rgz0tS2JDWnCiGPOVbMT1EV\na68lmfBrcTMR2Azm5u0ea6Efe7VRsvyBNxFkZVJ6hjlgojjLgQXpWes1LWuihf6m4de+GRHUvgHk\n/R3uTFVqopei5niuECMBXSHypicKxksytbBblHCIwp8Ymm4Tci8sTYMqrpVgIBP+M2kom/WsvWRy\n5JJMR9TQBpA0Dc/uURMRvRxqsxdFv1JWMmN9hYjoFcqcny6KovYNIJ/0HsJz0g2/JA2qYJvkMslA\n/06l+abKIqK7JapOeMV8U5tYey2JRRXsJEkz/PKyfCYJlin+uMvQiVtQEHQniavbNBwrkuOvFmpO\nBdeNJiujSjiUvarQW5YV0dI82J/sKQaflBeEQb9Rbk7cOZbEnvdkDbYfHc54EYrpqjwIu2VGeXVH\nVB+oLNtKIqJb4rquZ63mBNtMtos3OTLh9YEILWnaDEZjxaj6DsTmbmlUcKWQDT8rU/A3SDMS4OoL\nln3zP/LII0ta3Qm9YaIUbQp7KOPdqOWGdGK3wnEdXL2O4QYXDiNZz0liriEiultmImzigQX3giX3\nQivqTgN0JxJrNfAnRzpJHLH2WpKSH/QYDugW1C5Nu0cRcEthaVU0O0nCCD/ZP5BWmTG5Bv3Aso2F\nuq7z6le/ml/7tV8jlfJuIE3T+Md//MfIFye0ZqoS3YhdgKGs2BktR9WqguYN4wjKfnlPRKsGFKFz\n5v2J09GksIfSci8sx1yE1moKw03hyACoJVEbveFc+GUE4GU+PbvHIgfJ3KFFcV0XV6+jO9E8j1SW\nuCTZgL5gWRF94YUXAp5wVhEAGQPde1TtWyGi2reRbB7XhZrUILZEpU47EQ5j+QKuq1F1RJh1i0ot\nD2eiEQ6qqU3uhdaMK4eUiMrLYOHkyLKI6BZUHM8tKIqGNmi6Nqk+BGFfqnYVNDeyrIyyUy2L3WNf\nsGyu4dhjj8UwDB577DFe+tKXous6xxxzTBxrE5ZAmepHlcIuZFJgSyPPUnQjHAZzaWgkqSEPwm5R\nE9SisJMCyGdMsBI0XKnHbcWk7zITVXkZQFKVEsjUwpbUnQquozGcjSa4ojKfYn3aGrXBiGpDOaqy\nxOJU0xcsK6K/+tWvcuWVV/LVr36VcrnMJZdcwt///d/HsTZhCVQqZyii6FvW9wSVRp7WKOHQiSdr\nKmmAlcTW5EHYLSqaPxpBJzxANm3KvbAMU76oiqq5E7zJkQvPJexLwx/Alc+akRxfWZ/OSlNbSyb8\ngTfpiET0UC6L64jdY7+wrIj+9re/zZe//GUymQzDw8Ncf/31fOtb34pjbcISqBG7UUXfEoaOZpue\n+4SwKKqkplPhYLhpXN2ibjfCXNaao+H6/sQRdMIDmAmvqc2WpraWRG2tBs3N6pRYe7XE1mpoThJD\nj8a9tqCa2kREt2TCty3NRNSv5GXGkp4DiNBzlr3TDMMgmWy6D6TTaRKJZUuphYip2p6IHs1HU/sG\nXiMPuiMirwVq+EanwiGJ78VdF1HQDZZvM5iKwJ9YYThJ0BzPhULYB+UnPxChiFb+uDMSiV4U5Rak\nO9HVi6vm3aI0tbVElbrkI8rKGLoKcNUjOb4QjGVF9NatW/nMZz5DuVzmP/7jPzj//PM59thj41ib\nsAR1p4rr6AwHnJQXBNN3nZAGhsWZFw6pzoRDxk/3ydTCzvH8iWvoTjLShmflwCL+uIujLM+iKi8D\nKSVYjrJVAa353I4C1bxbEbvHlkxXo+1XAtDdFK5ex3GdyM4htMeyIvqP//iP2bhxI4cffjg33ngj\nr3rVq7joooviWJuwBA2qXu1bJpraN2i6TsjUwsVR9nSDHXqyZhOe+N5dnA5tTWuNml3zOuEjFA6w\n0B9XRPRiqI32cCa6SLRMjlwaNfI7qUXX3Dk839QmIroVxbovoiOy3AR/U69BxZKSjl6zbF3Gpz/9\naV796lfz+c9/fq+yDqG32HoNGplIzNwVKSPNHF638cHRVY2sWOY9WbOdieh8Mg8uTJRmwlzWmkJt\n8NQktahIG54/7nS5yMHRBVtXLFXbs1YbjchaDfxSghKUZADUokyUox3ABTCQTeHaBjVpiG6Javof\niTArk9TS1PF6EaJs5hWWZ1kF9vKXv5xbbrmFN7zhDfzBH/wB1113Hbt3745jbUILbMfG1S2MCGvf\nYEEjT1lqEBdDDd/o1JN1KOU9ZKVRqnMmIraTUqQNT6SLtdfi1JyqZ62Wiy76NpTxNqsVKS9blEnf\ncrMTt6B2yaVNXGlqW5KystyMcEOpnD/Er7v3LCuif/u3f5vPfvazfPe73+WVr3wlX/rSl3jVq14V\nx9qEFqiUctTRN9XIo2q8hL2pu15d+lCus0jASMZ7yM7W5EHYKd3YDAYhK/64S+KVlyXJZ6LLVqqM\nj/jjLo7ajOeT0UUms6kEWCY20tTWippf6rIuIstNWDD0piTvjl6zbDnHNddcw913382jjz7K4Ycf\nzvvf/35pLOwx0/7DMqlHK6LzySzUYbYqNdGLoerSc+nO3GpGc4MwBXMNEWad0vQnji4CCpBLZsGS\nprZW2FoN7BRmIrryskLGKyWoSynBoqjfzXyE94Kua+hOElefpeFYmLo4db2QulvBtUwGs9G9n7OJ\nLLgS4OoHlr0DbrvtNp555hne+MY3cuyxx/Kbv/mbZCN0hBCWZ9yvoc0Y0V6HgVQO6lCsi3BYDFur\ng53GTHRmrbZffgiAsi2fb6dMz/sTR3svFHwRLU1t++JZqzUw3GgbJ3L+0JuGKd71izHnN7QNddjo\n3C6Gm8LGc6oZTEmzzAuxtBo0zEgtN/PJLNRgVkR0z1k2bLBjxw5uvfVWtm7dyo9//GPOOOMM3va2\nt8WxNqEFqg4qG7GIVp6gJXEk2AevLr3RVV36SCGLayXm039CcJRw6NRmsF3U8eVe2Jdyw7NWS7jR\n9mhk014pgUyOXJyop9gqlGuT3Av70rTcTEVquameR3MS4Oo5y4rocrnMXXfdxc6dO/nRj37EwMAA\nJ554YhxrE1qghg3kIo6+qYdxxRaR90KUM0c31mqFrGrSkc+3U1RkeCgdrXBQTW1l8cfdh5ma9zyK\n0loN/CmqThJXt7AdO9JzrUTUc3o4F20kWpURShR0X6oxWW6qbINsZHrPsuUcJ598MscddxyvetWr\nOO+88xgZGYljXcISzMQwHQxgxH8YV0VE78PsvHDovO4tYejodgo7NY3jOuhadPWkqxXl1DCSjUdE\ny72wLxNFr7lTOZhEieGmcPA2M4VktGJxpVG1K2DAugin2ILXxDuDuAotxpx6L0Tc9K+cP2RT33uW\nfWvfeeednHfeeczOznLTTTfx0EMPxbEuYQlUCke92KOikEl7jTyuNPK8kImSslbr7mGZcNOguV5K\nXAiMir5F6U8MMJj17wVHSgleyKQvpjKJ6Htl1DQ+icDtS8Ot4loJBjIRuzb513mqIqUEL2SP7xaU\n0qO9F0aysqnvF5YV0TfffDMf/OAHeeqpp3j66af54Ac/yHXXXRfH2oQWlPwRu8OZaIVDPp3wyg1c\nEQ4vZKocjnBIat6/n6lLVKcTurUZbJds2gQ7QV38cfdB2f7lYhDRqpRAmp33paHVcC3Tqx2PkHzS\nK9uZkXKOfZi33ExEW9o0lMvi2roEuPqAZe+2r3zlK1x33XUMDw8DcP7553P22Wdz5plnRr44YXGq\nttfIM5qLNoWdVp6gpkR9Xsi8cOhyWlTWyFEG9sxNc1B+/xBWtrZQNoP5TLTCIZdO4FomdkI2lC9E\nialCxM2dAGndm6I6VSnCcOSnWzG4rouj1dCdAnqEDW2AV0ZTbU4LFZooy80obQbBex5hmzQMEdG9\nZtlItOu68wIaYGRkBF2X2s1eUnMq/nSwaMs5dE15glo0HCvSc600VDNVocvmThW9G5fR3x3h+RMn\nO7YZbJekaYCdxNEbOK4T6blWGqq8bDAVfY2yDL1ZnLrTAN3BiNghBWBAXJtaMlP1MoqFiPuVzIT3\nPLI1GXrTa5YN3xx22GFcdtllvOUtb8F1Xa6//noOP/zwONYmtKDuR98KEU4HUyRIYeHZWA2moo18\nryRUFGagS+FQSBbAgcnybBjLWlN4NoNWVzaDQTDcJC5QsapdZyBWE3FZqwFkTVVKIFHQhRTr8TS0\nwQJnCBm/vg9q4I3aaESJ4aRw9Dlsx8bQow0iCK1ZNqT853/+55imycUXX8zFF1+MaZps27YtjrUJ\nLbC0Gq6dJJOK/sYxNU+glOWBuRflRjjWasP+v5+qSk10UNRLPGo7KYU0tS1O0yEl+ki0Gqqj3HEE\nj6my93mk9GhrcaFZRihNbfuing0jEfcrQfO5Jw4dvWXJSPTk5CTPPPMMH/rQh/j4xz8e15qEJXBc\nB1erYzj5SM3cFSktQwXPm/qA3PrIz7dSKPsvkG6Fw2huAMowWxMRHRTlU9uNzWAQklqaOiKiX0jV\nqYIevbUa+HXXDSjVRTgsZKKsbAajF9H5TMobEiX1uPtQjslyEyCppajjZUXF7rF3tIxE33rrrZx8\n8smcd955nHzyyfzXf/1XnOsSWtCcDhaPcFDer2pKouChojAjXTZ3rst5o79LlqSngzLu2wymY4i+\nAaT8e2FG6nH3ou5bqxUy0WcEVCmBZMb2RkWiszE4pOTSCVzbFNemRaj602dH89GLaJV1mBS/7p7S\nMhJ99dVXc/3117Np0yZ++MMfctVVV3HsscfGuTZhEeZ8e7u4om/qoSx2RnujhMNAtrvrsC5fwHU0\nKogoCIqyGYxDOABkfBE9JSJ6LyyquJZJLmKHFGh641ckhb0X6vmcj3iKLUAubXrj15Oy8X8hdbeC\na779lSQAACAASURBVCUY7PK90A7KRm+yJCK6l7SMROu6zqZNmwB45StfyfT0dGyLElqjpoPFUfsG\nzdHi0sizNw1quLbpWQ11wWAuBVaSmisiOihqYlpcTX5ZU+6FxbC1GrqTxIjBtWkwk8F1NK+ERJhn\ndt4tKPq0ftLUwTZxNZuG3Yj8fCsJixqulfQ2GhGjnJ2mJcDVU1o+9V5Yb2sY0v3ZDygXh6jN3BXK\nqmdOhhvsha3V0CzTsz7rgnzGxG0ksTQRBUFpCofoO+Gh+dISf9wmdbvuWavF5JCSy3hR0IaI6L0o\n1pVDSvQiWtO0eSs9aWpr4routl5Dt5PoevT9Snn/uTcrIrqntAyjlctl7rrrLsD75VD/77oumqax\ndevW2BYpNFHRt6jN3BWDqRxUmw9pAS/6otuheLLquobhpHH1Oep2naQRvW3hakFt7OKwkwIopLJQ\ngTm5F+ZRTZaJmMrLcmnTq8eVoTd7Md/QFoPNIHhONarJdjAVfUPpSqBm10BzMGJyCxpI5aAuz6Ne\n01JEr1+/ni9+8Yst/3/79u3RrkxYlGbtWzzCYSibhxmpQVxI2NZqJhmvy7peZDQzEsox1wJKwA3H\nJBwG03moNO0NBZj2N/WpuHo01OTIdBnHddA1GfwFUPGn2I7E0NAGXjmhJ6IlK6NQo+jj8OoGv8l2\nDkqSJe4pLUW0iOT+pDkdLB4RPawaeWwRDgqVzk9p4ZTUpP0X0nR1TkR0ANTGbjgGOynwU+VTksJe\nyITf3BmHtRpAwtDRnSRoLjW7FltZW79Tcyq4msZwJp7+ADV+fbpSkvHrPsrBKq5+pSH/uVcWv+6e\nItv4FUYx5ujbQDaDaxvUpAZxnomS39wZknDIGN6GaE9RRn8HoepUcN3m8IeoGcrkcF2oyUtrHuWQ\nkovJIQVo1uM25DooGlTBSpLPxlMOlvGvt0xabaJEdMaI514YzcrQm35ARPQKY346WEzCIeenT8UT\ntMn8wzIRTtquYHrR/vGSiOggNNwqWCYD2XhqEPOZJNgmNVc2lArlDBDnGPSkP0VVxk43sbQarmWS\nTsZjAJATp5p9mKx4G4q4NpSDuTSubVCXAFdPERG9wqjaXvQtPhFtgm1iISJaoV4cuUQ4JTUDKU9E\nq4ew0B4N358426XNYLtkZUO5D8oZQP0Ox0FS9zavxZqIaADbsXH1BoabimWKLYhr02JM+/7x+ZhK\nLXNp03seISK6lywpoq+//nruv//++f//whe+wPXXXx/5ooTW1GOOviVNHSwTR29gO3Ys5+x3lHAo\nhPSwHM543e0zMvq7bVzXxdHr6E6ShBFPLMAbMpHA1uqxnG8loMrL4nJIAcj4ZVQy9MZD1egnQnAL\napeBlBdtFdemJspyczCmDWXS1NHspDyPekzLt8/27dv5xje+QS7XfDi+8pWv5Otf/zrXXnttLIsT\n9kVF3+IwcwfxBF0MNTUyrObO0awnoot1EQXtUrWroLmh2Ay2izdkIomr2dRlyATQdEgZiam5EyDr\nNxPKFFWPOf+5EdcUW2g2tZXEqWYetaGMw6sbvHez7iRxdQvLsWI5p7AvLUX0ddddx1e+8pX5qYUA\nxxxzDNdccw07duyIZXHC3qjom2anMBPxVeKYmmrkkQcmQMlvaArrYTmWH/KOa0lqtF3Uy9uMyU4K\n1IbSa9wqSz0u0HTtiVVE+/W4s1KPC8TvCgHNxnZpamsSt1c3NG1WS9Jk2zOWHPtdKOz7yzAyMoIe\nw3hXYV8qlhd9izNtB80IR1FENNBs7gzLIWWkkMW1ElQd+XzbZd6fWI9PRMPCDaW8tABqThXX0RjO\nxlfOUUj6IlrqcQGYLKlG5/hEdCGT9J9Zch8oqn6mdjQf3/CZ5rtZsjK9oqUaTiQSjI+P7/P18fFx\nHMeJdFHC4hT9MgIzxrQdNIXKtNQgAk1rtbCaOwtZE9dKUkdeSO0yUfZ+F9Mx2Ukp1EtL0tgeXo9G\nfNZq0GxiLEk9LtCsDY/TISWX8Zra6uJUM0/NreBaCQaz8b2fVfZhqizv5l7Rsq39ne98J+eeey6f\n+MQn2LJlC67r8sADD/CZz3yG3/u93+vqpL/zO79DPu89CA8++GDOO+88LrroInRdZ/PmzWzbti22\nLuOVhKoBjGs6mCKbyDKBiGhF3amCY5LPhFOXnk0loJHCTk3LFLY2Uf7E2Rj9icHzBi8ipQQKW6vh\nWknvdzgmhjI5KEqPhkK9FwoxTbEFz6nGc22S+0Ch+pXCei+0g2qyVSU9Qvy0fPK9+c1vplarceGF\nF/Lcc88BnuA955xzOPbYYzs+Ya3m2UMtnIj4+7//+1xwwQVs3bqVbdu2cdttt3HKKad0fI7Vihry\nkY55SlfOP5+IaA/lyRrWw1LTNBJuGkdzKTXKFJLx2YWtVGb8co58jNE3gIzhbWDFGQIc18HR6uhO\nHl2PL+gx6PciSD2uhxo3HafNoJof4Go2DbuBacQnHPsR13Wx9RqaXSBpxuPVDQv8uuV51DOWDHm9\n9a1v5fbbb2fnzp3s3LmTj370o9xyyy387u/+bscnfPjhh6lUKpxzzjm8+93v5t577+XBBx9k69at\nAJx44ons3Lmz4+OvZprTweKLOEDT91KNu17LuK6LrdXQ7GSoD8sk3kZlThw62mK2B8IBIGt612lW\nnCG8unCt2dwUF6oeV6aoeqgyv7im2AIYuj9+HRl6A1B3GqA5sboFQTOIIENveseyObhf/epX7Nix\ng29/+9vMzs7y+7//+/z1X/91xyfMZDKcc845nHnmmTzxxBO8//3v3+v72WyWuTlJTSyGmg6WN+MV\n0YVUDixpLASo2bVIrNXSRpYqMFWZ5cD8/qEeezWiom+DmZg3lMks2DArG8pmj0aMDinQHHpTN0RE\nA1T8spbhGB1SwLvuFt5maig1GOu5+w31PIr7XhhI56EoQ296SUsR/W//9m/s2LGDBx98kFNOOYXP\nfe5zXHLJJXzoQx/q6oSHHnooGzdunP/z0NAQDz300Pz3S6USAwNLd7cOD2dJJOJLmSjGxuJ9SL2Q\nmj+ZaP/h4VjXsmFsFEpQd2s9/wx6ff7dJc/YPqmlQ13LUHqAaaBMtec/43L0w/pq/gTNjev3i3U9\n64dGYALq1Hv+OfT6/M81ngU8y7k412KmvfHrNuWefwa9Pj9AnSquCy/asD7W9aT9/gAz5/b8c+j1\n+af2TACQScR7Lxy0bhSK3u9Arz+DXp+/V7QU0R/+8Ic59dRT2bFjB4ceemhoJ/zWt77Fz3/+c7Zt\n28bzzz9PqVTihBNOYNeuXRxzzDHccccdHHfccUseY2oq/ojo2FiBPXt6GyGfKM4AkHSTsa7FtLx6\nt9lqsaefQT9cgydnnge8FHaYa0n7Xda/3L2bPWP9m4nph2sAUPSng5mWGe+9YHv3wnR5bs3fC//z\nrHcvJLV0rGuxbAfXMnE0i2eem+xZPW4/XAPwI9GuiVW14r0XfLvHX+7ew5h2QGznfSH9cB0ee9rr\nG0sS771gOt7v/kxF3s1R02qT0FJE33TTTdxwww284x3v4KCDDuINb3gDtt392Oe3vOUtXHTRRZx1\n1llomsbll1/O0NAQl1xyCY1Gg02bNnHaaad1fZ7VSLkH08EABrIZXEenKhZsTPpWQqorOiyGUgWo\nw1RldT+IwqLmVHFdg6FcvE22Q9k8TDdT6GuZeWu1mB1SEkazHrdsVRhc401tlppiG6MrBEDWyDAF\nTIu9GpNlr+k/F3OppdIC0mTbO1qK6MMOO4yLLrqI//2//ze33347N9xwAxMTE5x77rmcddZZnHTS\nSR2d0DRNvvCFL+zz9YVuHcLiVHxj+5FcfGbugOdCYZnUTalBnPIflpmQhcNwdgDqMFsXEd0Odbc3\nwmEwIxtKhXIEyMdoraZIkMLG8+seTMX7POwnmq4Qg6RidIWA5uRIGb/edK6K06sboJBN4VoJ6rq8\nm3vFsoa0iUSCU045hauvvpof/OAHHHfccYuKYCF66k4V10owkI23Azib9oz1LbcW63n7kagelvvl\nhgGYbcyEetzViq3VwDJj9ScG3x/XMqnLvTDfzBS3Qwo0h96sda/o+UZnJ75hN4q8PzlyRppsmfHL\nywZjvhfyfpNtA3ke9YpAUx1GR0d573vfy8033xzVeoQlqFPFtZKxmrlD0xPU1uo47tqeVqlcGdTo\n4bAYLeRxqlmm7OfX/Ge8HA3HwtUtdCcVqz8xQM7fUMpLq+lIMJSOPxKtpqiu9amFanJmImZXCGhu\nnooiohe4BcUrotOphN9kK8+jXiGj0VYIyp8YyyQTc/RtvgZRg4q1ttNG84MN0uE+LAeySZy5ISzq\nPFfaHeqxVxsl31otbn9i8O3VbBMb2VCWe2StBp4zBMjQm1nfV15tKuJk0N88rfVsADS9skdi9OoG\n0DUN3Unh6jZ1uxHruQUPEdErBC9t53jRtx6MRFeCpbTGvaLVw3I4ZBE9mEviFr2Sjsdmngj12KsN\ntZFRKf04SScNsEzQXKrW2o7+VBzvXhiNuUcDFkxRra7tHoKJkvfzK3efOFHDXcoybIWK39g3mo//\nXmi+myUj0AtERK8QlHiN28xdoc671h+Y84MNQhYOSdNgv9RBAPxi6vFQj73aUHXpqR4IB03TSNB0\nhljLqB6NQsw9GgA5v5xqrrq2n0dqim02ZocUaE6OrMrkSGpOBdc2GMzG/35WwYS1HuDqFfHWBQgd\no6aDJfX4X1gAaSNNFRn9XXUquK7GUCZ8AXf4fgez0zL5uYjoJZn0hUPYNoPtYpKijm85mRnpyRr6\ngQY1XMskn47/NVJIZqEhk9qUQ0ou5B6NdshlTJkc6dNwq7iN+PuVwAsmlPGCCxvW5ryTQFStKt/4\n+Y2kjRQH5g/goPz+HJDbn0yisw2QiOgVwuR82i7+hyU0axCn13gNYt2tgZWkkA2/G37zhiHufGiI\n2cQepmsza36UbiumemQnpUjqaeo0S3vWKpZWAysfe48G+D0JDYm+KVeIgVT8zZ3ZtNfU1mBtb2TA\ndwuycz25FzK+X7fMGGiPe3bfx67nfrLP10fTIxyY35+D8gdwYM7771hmFENf2jpSRPQKQZm5ZxO9\nib6p8651EW35Dim5dPgRhxcdNIhz1zDG8B7+Z+ZJjv7/27v3ILnKOv/j79O36dvcp+eeTGYyuYck\nTFATrsvtx8+SX9XqChVY8cKPFRFrZb2Uym5F1l0I8lNLV1lXynJXy11XYAWLLV2RXUAXEAQJITEQ\nJhcyTC6T20yme27dfc7vj+7Tk7BJSON0Pz1zPq9/tCaTOU/4zunzPc/zfb5P86oZv8Zc4PalrTbQ\nnxhyMz9J4PiEd5OHqewUWFl8TgjLwB6NukgMRnXoTTLfncREm0G3U41j5Ta1hTx66M1UdgrHlzW2\nXykWzG+y1aE3Z+Xlw9sBuPmcD5FKjzGY2s++5AEGk/t5+fDvefnw7wvfG/QFaI210BFr41OX/N9T\n/jwl0bPE8IQ7+2YmcXAPVDju4XIO27GxrSnIxggFZ347QWNtmFi2mSl2sHN4t5Lo0xidcmffyp84\nAEQDYY7g7RdK03s0aiLR3KE3WW+XEqQyuc/j+jJ3hQB3k627P2CMkN+bK2duqaWpeyEejEHW28/m\nszWVTfPK0dcIZWt59jcWnYlmFie6ubQnTkNNFaPpJIPJ6aR6X+oA+1MHGRgdBJREz2ru7FtNyEzi\nEA9FYcrbNdHjmQmwwO9UlWz2bVFjF1vtp3j1yK6S/Py5wE3g6srck9UVzb/IenkmerpDipk9GrH8\noTeTHj+prdAVwkCHlNwm2yoccvekV8vPTHYLAqiuisEYjE5696X+bO041k/aTpM+2MAzbxw46c/C\nIT8diRgdTXE6mro5L7GSjq44sbCP4anTH4KmJHqWcDfQ1Bo42CB33ThMebsG0W0hFCrhjMPijga2\nDNZywHeAicwk4YCZJKWSuV0xGgz0JwaIhyJge3vmx62/NNFaDfL9ujNB0kFvJ9GT2QkcfNRFzcQh\nZIWZJL/J1qMKG50N7VeqD8dhzNvP5rP18pFcKYc9nOBz159LcjzD4OEkg4dSDB5OsXvfKDsHj5/0\nd+KRIJ2JGP/vkwtO+TOVRM8S7g3SEC3/jANAfSQOx73d1sudhQ+V8GCD3s5a7FfrcaqH2XN8L0sb\nFpXsWrPVZHYcB4v6qJmZ6OqqGIx7+6FVSBwMtFaD6XrcLElsx8ZnebNb6xQTkAka6QoBuUNeJvH6\nveDuVzKUREer4SiMZb37bD4bjuPw8qHtOJkgnfF5LJmfO5dh7ZJE4XvSGZuDR8cYPJyaTq4PpXh1\n7/Bpf66S6FliPJtPomNmZt9qI1Ec22LCwzeq2xWilLNv85rj+McbgN3sGtmjJPoUJp1xyAZL0iHl\nbNSF4/kk2rv3glsPHjOUOLidIbByLauihjq1mJbb6BwhZiiJjvgjHGd6z44Xuc+FuKGNzvXROI6D\np5/NZ+ON5H5GpkbIDrfRt6j5lN8TDPjobI7T2RwHWgpfz2RPfzqtN1/fZ6GJQjN3M8t2sUgQskEm\nPdxY313CLuUD2+/z0RWfD8Br6hd9Spl8f+JSdEg5G25JlZcfWoUOKQZaqwEE/D58du4lyqsvMxk7\ng+PLYGVDBPxmHuXRoLo2me4WFI+GcvsDPPxsPhtbD7ulHM30LUq8xXef7Ez3l5LoWSLtTOQTBzOL\nB25j/TTePep4uEz9iZe0t2CPx9g9shfbOf0bsBfZjk3WmoJMiEjVmft3lkrhpDYPd4YYze8PMNUh\nBSCY39To1VNU3ZeHgGNu30Q8qK5NpvcrxcIBnGyQjIefzWdjy+Hf4zgW9XTQkZi5WCmJniVyBxuY\nOREJ8jdqJnejOo5jZAymuTXR1SU+Hay3sxZ7tJ60M8Vg8sBb/wUPmchMgOXgN9SfGCAaDuJkg0w5\n3k2iU/n+xPWGOqTAdEsxr9bjuhudg4a6QsD0SoSXuza5cTC1Xyma71STsbz7bH4rI5Oj7B0dwB6t\np29hx4w+O5REzwJT2TSOlcXKhggFzcy+RapyNyqW49kZuOkZh9ImDgvba3GSdQDsGtlT0mvNNknD\n/Ylhur2al2d+3D0a9YY6pACE/fkkesqbSfTxfBlBlaEOKQC1+ZUIr77IwHSbQVP7lfw+Hz67Ciyb\nyeyUkTFUum1HXgEge6yZcxc1zejPVhI9C7hvun6Dy3Y+yypc36s1iNP9iUv7YRkNB0gE2wHoV130\nSQo9WUvYIeWtRPOdIWwrQ8bOGBuHSRPZCRzboj5qZgkbcpvawLub2o64HVL85pLounz8vXxypOn9\nSjBd0uPll5kzcU8hDE+00ds5s/3MlUTPAu7sW8gyd5PCCTWIHr1R3Y1kjWVorba4tRMnHdLmwjcx\n3Z8YIFzlz3WGwLstH6eccaPlZTC9N8GrSbR7L5jqkAIQj1ThZAKF2VgvSjvjOIbvBbekx6v7A84k\nnU2z/cgO7PEYa+Z34ffNbNqrJHoWOD7ptlYzN/sG0ycypTx6o7ozDjVlmHFY1FGLPVrHaOY4RyeO\nlfx6s4Xbn9hUT1ZwV2Xyxx179IUy7XZIMZlE5/cmjE56MwZuV4h4ifdonEk8vyrj5f0Buf1K5np1\nw3RuMOLRF8oz2TG8i7STJjucKLorx9lQEj0LHE3lmrmH/WZ7oYbzy4ZePe54qtAhpfQflr2dddjJ\nXDP4XcN7Sn692aJcHVLeynRnCO/NwNmOjW1NQTZIOGRmjwZATX5Tm1vi4zXuZj6THVLcTW1pjybR\n0/uVqoy1GQSIBHLP5mP5SQaZtjVfyuEbbWF5d8OM/3wl0bOAu2wXN5w4RAPe7gmaITfjEIuUvs1g\nojZMJJN7a96pzYUF7qqMqf7ELre0yos1iGOZcbByezRMdUgBqMlv8B3z6B4Nt8yv1BudzyQWyXWq\nsa0sU9m0sXGY4u5XCmBuvxJMr8wd00z0SRzHYfPQ73EyAZYnFlJVgsYMSqJngellO7OJg3vIiBeX\njNyDDciGSnIjvpllWSxqnI9j+9hxVHXRrmSZOqS8lUi+M4QX++OmKqBDCkBdOIrjePe4Y7f+1WSH\nFLf16Ynj8ZLp/Upm7wW3pMerq8Snsy91gOPpEbIjCfoWtbz1X3gblETPAu6Dutbgsh1Mn8jkxcTB\nXbYPlHH2bVFHA3ayloPjBz29+/1EbgJXX+IOKW/FXT4dGffeveC+yFQZThxikVDuFFWPJtET2XEc\nBxoNtVaD3Eluftu7nSFGJsxvdIbpkp7RSe9NcJ3Jy4VTChOs7m0syTWURM8C063VzCbRbg2iF/uy\nujEIWOVbtuvtrMVO1uPgsHtkb9muW8kKPVkNzr7BdE22F1dl3LrLsMHWajA9CzrleLNf96Q9bnxD\nG3i7a9PRlNtm0Gyppbsy59X2s6ezeWgbjmPRHeulOhoqyTWURM8ClbBsB9PHmnqxO8doYfatfIlD\nV0s1vrHcRggdupIz3ZO1MpZPkx58oayEDilw4qY2b57U5nZIMZ1Ee3l/wNHCfiWzpZb1+barXiyp\nOZ3RqSQDyQHs0TrO620v2XWURM8Ck/YkTtZPXdTsQ6suEsdx8GRP0GG3P7G/fMlbwO9jfmwegPpF\n56XzHVJMJw7TnSG899ByZ99jBlurAcTy7dUcK0va9tamNsdxyFqTOJlQ7mXCIHd/wKgHu6S45Rwm\n2wwC1EViOLZVOMtAYGv+lEJ7uJk1i2e+tZ1LSfQs0DK1mvTuFSVbjjhb8UgQMkEmPXjs9/BYLnEo\n9+zb4o5m7LE4e44PkLWzZb12Jcr1ZA2Vpc3gmdRGckm0F1vcjbit1UJmy8ui4QCORw+9Gc9MgOXg\nt0MzfnhEsSIBt7TJe0m0++JQZ3ijczya3x/g0VaDp/LS0DYAEr4umutKt4KsJHoW8KeayR5tNz77\n5rYz8mJj/USwk8yRNlpDXWW9rlsXnXHSvJHcV9ZrVxrHcfBlq2C8hlDQ7EdXTTiKY1ueXJVx90SY\n7pCS29SWm1jwWilBYY+G4dZqMN161Yv7A9xNtqY3Osfz+wPSHt0f8GZpO8P2ozuwJ6Kct6CnpNdS\nEj0LpMbTWEC0yuyyXSxfg5jBezWIwWyc9M7VNIRry3rd3vzJhQC7Rl4v67UrjWVZRHZfQdXQuUb7\nE0PuhZJsMLe5y2NarUVkDnTRFms2PRTPbmqbzOaSpSrLbBkBTPds92TXpsJG5xqj44jmS5uylvee\nzafSf2wXGSeNPZygr4SlHKAkelZorI2woK0Gn89w4lCoQbSZ8lgNYnIi9+8t9zHH8UiQxkBuU0T/\nsOqiU2M21RGzZU0w3RkibXtv5iecSZDeu8z4yhhM9+dNeaycoyHURHrvEhozS00PZXrDucdeZAAm\nsxO5jc4xs51qggEfPjsElsOEB8st3+ylQ7lSjuhUB/NbSrtiZnZqU87KTVcvoxLeLUNBH2Td5dMU\nVX7zyUy5VAVyB6y01Jf/w3JxSxvPT1XRf2w3juMYn4U1xXEcpjI2NYb3BsD0zE+aMc/FJDlu5oXy\nVML+CGN4r+3mxKRN5kA39cvrTA8lV9Yz4b3VAIDGqaUc3X+Y6neYvxcCThVZci8zbh97LzrxlMK+\n9qUl/2zWTPQsYFkWvgp4SFuWRRC3sb63Zn7WLGriKx8/n2Vd9WW/9qLOOuxkHclMkiMTR8t+/Uph\nWRYf/T/LufbSXtNDyZVWZYNgOYWlda9obYhSFw+RKOFmnbPlJgvDHqvHraQXmXgkhJMJeHJ/QCg5\nn+xQV0XEIeiuynjwZeZE+1MHGc2MkB1pYu3i0pecaSZaihK0qpjEe7MOlmXRUGOmN/GizjqyL9Tj\nbzjIzuE9NEVKc/LSbHDeUvN1uJBLot3jjlPpccIBs32ry+nytZ1c1tdREbPvXt3U1lQbYXFnLWt6\nm0wPJbfhPBNkMuC9MoLUeBq/zyIc8pseCmFfmAm82WrwRFsO/x6AQLKVxfNKv1KjmWgpSpXPfdv1\n9o1aTi31EcLp3OYIHbpSGXw+i4CTKyvxWns1oCISaJjuVZ2c9NZLfTQc4PMfWMuK7gbTQylsOE97\nsGtTRyLO8gUNFXE/hPOtBt0TRb3qd/u34jiwomkJAX/pU1zNREtRIv4ox/FmT1BTLMuit2Eer2b9\n7NChKxUjaFWRxnurMpWktioGU5BUDIyJhXOtT20ry1Q2TchvvrShXD70v5dURAINEMsn0cPj3lqV\nOdHoVJLB8TewR+t559J5ZbmmZqKlKLGgN2sQTVvcWY+drGVofEhJW4UI5VdlvDgTXSlq8p0hdE+Y\nk+tU467KeCsOlZJAw/SpiV6e4Pr9kVdz/+d4c9lWaZRES1HiwXxPUA/fqCa4h66A+kVXiog/90Lp\n9RpEk2oiYZysn3G19TImXJUr5wBtajOpJt+v28ufR8/vfxmAnvgiImU6V0NJtBQlXpWvQfTwjWrC\ngtZqrFQuid6puuiK4HaGGPHw8qlpbqtBLx56Uyl8J3VtUhJtinuCqNfaPboydoYdw69hT0R5Z3dp\nTyk8kZJoKUpd/kZNeqzFnWnBgJ/O+DwcB/qP7TE9HGG6M4RWZcyJhXOtBqd03LFRhdImJdHG1Edy\nz+axrDdj0D+8mwy5UwrPXVTaUwpPpCRailIbyS0ZjXus9q0SLGlP4IxV8/roABk7Y3o4nhcPafnU\ntGj+5MgsU2TtrOnheFbYl1uVSaprkzG1kSiO7WPCg/26AX53YCsALYEF1MarynZdJdFSlHikCicT\n0NGiBrh10Vknw8DooOnheF5NODcT7bWDhypJLBIs1OOOZ/SZZIpb2nTcY60GK0k8GoJMkEnbe/dB\n7pTCbTiZAO+at6ys11YSLUWJ52sQpzzYE9S0hR212KO55vGqizbPrUH0WkeCSnLSoTeKgzGxwoZz\n7Q8wJZZflUnjvdKmA2NDpOzjZEea6FvcUtZrK4mWokQ93FjftNpYiHp/GwA7h/eYHYxQHanCCbG6\nTwAAF15JREFUyfq1KmNQwO/D7x56oxUBY9z2ascnVc5hintyZJZJbMc2PZyyevHgNgBqMp20NcbK\nem0l0VKUWOTkxvpSXkta2rAnw/Qf243jOKaH42luPa6SaLOCVq7+USsC5rjt1dS1yZxQwIeVDYHl\nvdKm5/e9jOPAua3Ly35tJdFSFHfJCPTQMmFhZy12so6x7BhD44dND8fTolW5etw03npgVZqq/KY2\ntVczpz5/6I32B5hjWRaBQqtB77zMJNMpDk7uw07W8a7F5Tml8ERKoqUoAb8Pn63lU1MWddRij+YP\nXVFJh1GxcAAnGyRLWp0hDIr4c+3VvNoftxLE8hvOxz3aGaJShKz8veChZ/OrR/rBcgiNtdHdXlP2\n6yuJlqIFCzeqd952K0VbU4zQZBMAu7S50Ch3fwDo6G+TCofeqF+3MbFIQIfeVICqfL9uL7UatMdq\nyRxuZ3X9GnwGjmFXEi1Fq3KTaCUOZeezLHqbOnGyfnYc2216OJ4WPam0SfeCKXG3M8SkOkOYEgvn\nSpvUtcmsiD/3QjnsoVNUI1Y1md2ruHhlt5HrK4mWooXzN2pKm0iM6O2ox07WcXjisDbyGOT3ndgZ\nQqUEpsSrcp0hRlXOYUxur0wImyxpHQRlTCyQe6H00qrMyu5Gvv2pS1jUWWfk+kqipWhRf/6hNalZ\nBxNOqotWSYdRVZlGyAaoDsVND8WzGqrqyBxppbNqoemheFY0HCSzv5vmyTUEfQHTw/Gs1qr5pPd3\nM89j90Io6Dd2bSXRUrREsJP0G70sjC0xPRRP6m6vgVQDoENXTKtJd+G8/L9oijSaHopnxSIh0jvX\n0Ob3VuJQSWLhAPZoI/GR8p4WJyerCUfJDCzBn42aHopnVEwSbds2GzduZMOGDdxwww3s3bvX9JDk\nNKrDYTL7enWjGlIV9NMR68BxLB26YlgsHGBiyiZre+twg0oSC+dmPlMTKiMwJRT0Ewr4FAPDYpH8\n6Z3jikO5VEwS/dhjj5FOp/nXf/1XPvOZz3D33XebHpKcRiyc30w1ocNWTFnU3kj24Hzqfa2mh+Jp\n0cK9oIeWKVF9HlWEaDhASjEwyn2hTI4rDuVSMUn07373Oy666CIAVq9ezdatWw2PSE6ncKPqA9OY\nRZ11pPcuo23qPNND8bRo/l5QEm2OZqIrQywS1H1g2ML2WuY3x1nQWm1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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1160,7 +1152,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 39, "metadata": { "collapsed": false }, @@ -1168,18 +1160,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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2kDLRQPX91u6hfC3yIHrp0qVYunSp5z/f1ZWAGkAg0tfX5vs1yJ9m24Ntw9Xs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\ndPz1uhminYvtHAAA4AQul8v0Evq1s447Ew3nYogGAABwkIi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AsHTpUjz22GNBL2HgpfuoYTZ0BRKYYfbCnieinU4ZrGMOTj+n0vkY2hv9BAmSJFWnzHEP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\nWL58+QVf69SpE+3atWPx4sXs2bOH6dOns2LFikAtQURERES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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1201,7 +1193,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 40, "metadata": { "collapsed": false }, @@ -1209,18 +1201,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 32, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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ns5SSiKjwXPSljv5abuUgjXSstHsgS6q8GrXMQpioyHRcvT94kYWwIAjYus6D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\nERHxSf8fRRQGPWD2kL8AAAAASUVORK5CYII=\n", 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0EU5zwHyT/ceKOT53Dw/cstXi1CIiK/faiQEc7giVtFzxSm93aTdvLozzH0N76aq7L4UJ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\nsSUVYRERERGxJRVhEREREbElFWERERE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6pJMDI9w6OSQHYZ/Ph9PpxGazAXD27FkcDgfP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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1240,7 +1232,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 41, "metadata": { "collapsed": false }, @@ -1265,38 +1257,38 @@ " \n", " \n", " mean\n", - " 75.091621\n", - " 76.800348\n", + " 69.343987\n", + " 71.066917\n", " \n", " \n", " std\n", - " 70.858104\n", - " 68.894969\n", + " 70.313801\n", + " 68.349799\n", " \n", " \n", " min\n", " -0.020000\n", - " 3.039811\n", + " 2.737705\n", " \n", " \n", " 25%\n", - " 11.279867\n", - " 13.678009\n", + " 5.483763\n", + " 7.230393\n", " \n", " \n", " 50%\n", - " 33.143798\n", - " 35.729454\n", + " 29.454242\n", + " 32.080356\n", " \n", " \n", " 75%\n", - " 151.742703\n", - " 151.311054\n", + " 151.245933\n", + " 150.810197\n", " \n", " \n", " max\n", - " 162.762826\n", - " 162.061960\n", + " 162.212242\n", + " 161.640229\n", " \n", " \n", "\n", @@ -1305,16 +1297,16 @@ "text/plain": [ " sapm sd\n", "count 28.000000 28.000000\n", - "mean 75.091621 76.800348\n", - "std 70.858104 68.894969\n", - "min -0.020000 3.039811\n", - "25% 11.279867 13.678009\n", - "50% 33.143798 35.729454\n", - "75% 151.742703 151.311054\n", - "max 162.762826 162.061960" + "mean 69.343987 71.066917\n", + "std 70.313801 68.349799\n", + "min -0.020000 2.737705\n", + "25% 5.483763 7.230393\n", + "50% 29.454242 32.080356\n", + "75% 151.245933 150.810197\n", + "max 162.212242 161.640229" ] }, - "execution_count": 33, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -1325,7 +1317,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 42, "metadata": { "collapsed": false }, @@ -1333,12 +1325,12 @@ { "data": { "text/plain": [ - "sapm 2102.565387\n", - "sd 2150.409753\n", + "sapm 1941.631623\n", + "sd 1989.873675\n", "dtype: float64" ] }, - "execution_count": 34, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1349,433 +1341,12 @@ }, { "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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Aot6RI4f0yeY1inFJjT/brRMfbfQ/R6AFnIGfUABAVDt+/Jg2fPSGrrn+XLX+/msCLSzl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\n9JOGDBmi9PR03XLLLXxmNCGOSoSdO3fW5s2bJUl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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# create data for a y=x line\n", - "p_ac_max = p_acs.max().max()\n", - "yxline = np.arange(0, p_ac_max)\n", - "\n", - "fig = plt.figure(figsize=(12,12))\n", - "ax = fig.add_subplot(111, aspect='equal')\n", - "sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=poa_irrad.poa_global, alpha=1, cmap=mpl.cm.YlGnBu_r) \n", - "ax.plot(yxline, yxline, 'r', linewidth=3)\n", - "ax.set_xlim(0, None)\n", - "ax.set_ylim(0, None)\n", - "ax.set_xlabel('Single Diode model')\n", - "ax.set_ylabel('Sandia model')\n", - "fig.colorbar(sc, label='POA Global (W/m**2)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can change the value of color value ``c`` to see the sensitivity of model accuracy to measured meterological conditions. It can be useful to define a simple plotting function for this kind of exploratory analysis." - ] - }, - { - "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], - "source": [ - "def sapm_sd_scatter(c_data, label=None, **kwargs):\n", - " \"\"\"Display a scatter plot of SAPM p_ac vs. single diode p_ac.\n", - " \n", - " You need to re-execute this cell if you re-run the p_ac calculation.\n", - " \n", - " Parameters\n", - " ----------\n", - " c_data : array-like\n", - " Determines the color of each point on the scatter plot.\n", - " Must be same length as p_acs.\n", - " \n", - " kwargs passed to ``scatter``.\n", - " \n", - " Returns\n", - " -------\n", - " tuple of fig, ax objects\n", - " \"\"\"\n", - " \n", - " nonnull_idx = ~p_acs['sd'].isnull()\n", - " \n", - " fig = plt.figure(figsize=(12,12))\n", - " ax = fig.add_subplot(111, aspect='equal')\n", - " sc = ax.scatter(p_acs['sd'][nonnull_idx], p_acs['sapm'][nonnull_idx], c=c_data[nonnull_idx], alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) \n", - " ax.plot(yxline, yxline, 'r', linewidth=3)\n", - " ax.set_xlim(0, None)\n", - " ax.set_ylim(0, None)\n", - " ax.set_xlabel('Single diode model power (W)')\n", - " ax.set_ylabel('Sandia model power (W)')\n", - " fig.colorbar(sc, label='{}'.format(label), shrink=0.75)\n", - " \n", - " return fig, ax" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(,\n", - " )" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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EVwDVxRvGpLpDRESEmjVrpptuukm7d++WJF1xxRVObWt6VrXb7Zo2bZqSkpI0\nY8YMbdmyRWfOnKlaxQDgI0oLrl81aqi/1wpU6rurZfLLLQDwO4sWLdJzzz2n1157Tfn5+Zo6daoW\nLlzo9Pam4fXOO+9Uamqqli1bpmbNmmnKlCnq2LFjlYoGAF9QWnDd16SRttw8WEbby7Tngkh9sCXN\ngxUCsBq7G16etnLlSr3yyiuqVauW6tatq2XLlmn58uVOb286bGDt2rX67LPPtGPHDgUGBuraa68l\nvALwe6UF18LWbZTW5QrV/N9TCIMjI3Qs8ztPlQgAXikwMFAhISGO9zVr1lRQkGkkdTD95KxZs2S3\n2zVq1Cj17dtXzZo1q1ylAOAjyhrjWvPGgQpa97ZUt64kqTDrpJpGRXuqTAAW5A9jXuPj45WSkqL8\n/HytW7dOS5YsqVBj1HS2AUnKzMzUtm3btG3bNh06dEjNmzfX008/XaXCq4q7RHEu7h5Gaar7uDC7\nOSv9y71au2eX7IEBal2nngb1vqba9o3qw/kCpfGG2QZGbHT9bANv9vTsbAPFxcVaunSpPv30U9nt\ndnXq1EnDhw93uvvq1KfsdrvOnDmjgoICnT59WjVr1qxS0QBgRaUF1+wWMfrlsjhF/29WgXYtL1O7\nlpd5qkQAFufL87wePXrU8eeEhAQlJCQ43p84cUINGzZ06ntMw2v37t3VsGFD9ejRQ/fcc48uu4yT\nMgD/U1pwNbq2UL1R3XX8u+PavO0jde3Yy4MVAoB3u/XWWyVJhYWFOnnypGJiYhQYGKjDhw8rJiZG\n77//vlPfYxpeV6/+baqX9PR0HTt2TNHR0brggguqVj0AWEhpwfWnuGhFjeouW4BNFzaJ0t5vvvdg\nhQB8hTfMBuAqGzZskCRNnDhRt9xyi66++mpJ0u7du6t3qqy9e/dq4MCBWrFihVauXKkbbrjBsXMA\n8HWlBdeI7j10+IqLZQv4/dd79iI/uMsCAKrB119/7QiuktS2bVt98803Tm9v2nmdO3eu3nzzTcXE\nxEiSjhw5ovHjx6t3796VKBcArKO8m7Oapm/Vrk/2KjI6TMe/zlZih0EerBSAr/CH2QYuvPBCPffc\nc7ruuutUXFysNWvWqGnTpk5vbxpez5w54wiukhQTE8MTYwD4PLNZBeKv7KLWeW31yy+/qHu/aAUH\nB3uwWgCwjtmzZ+v555/XpEmTJEldunTRrFmznN7eNLxedNFFWrRokYYMGSJJWrZsmRo1alTJcgHA\n+5kF17OEVgbgAAAgAElEQVRCQ8MUGhrmiRIB+CjDh2cbOHHihBo0aKDIyEg99thj5X6mPKZjXmfM\nmKHPP/9ciYmJ6tOnj3bu3Knp06dXrmoA8HLOBlcAQMU888wzmjt3rr799tvz1mVmZurJJ5/UU089\nZfo9pp3XCy64QHPmzNH+/fsVFBSkSy65RAGcwAH4IIIrAE/z5TGvKSkp+uijjzR16lQdPHhQDRo0\nUGBgoH744Qc1adJEY8eOdeqeKtPwunnzZk2ePFkNGjSQ3W7XqVOn9Oyzz6pt27bV8hcBAG9AcAUA\n1+vVq5d69eqlX375RYcPH1ZAQIAaN26syMhIp7/DNLzOnDlTCxcuVMuWLSVJX3zxhZKTk7VixYrK\nVw4AXoTgCsBb+PI8r38UGRlZocD6R6Zn5Ro1ajiCqyRdfvnlldoRAHgjgisAWItp57Vt27Z69NFH\nNWzYMAUEBGjt2rVq2LChduzYIUmKj493eZEA4AoEVwDexpfHvFYX0/CamZkpSZozZ06J5c8//7wk\nKTU11QVlAYBrEVwBwHPWrFmjzMxM3XXXXfrggw80cOBAp7c1Da+EUwC+huAKwFvZfXie17Nmz56t\nH374QRkZGbrjjju0fPly7du3Tw8//LBT23OWBuBXCK4A4FmbNm3S7NmzVaNGDYWHh+vVV19VWlqa\n09ubdl4BwFcQXAF4O3+YbSAwMLDE+8LCwvOWlYfwCsAvEFwBwDskJSVp4sSJys7O1qJFi7R69Wr1\n79/f6e3LDK8jR44scyObzaZ//etfFasUADyE4ArAKvxhtoHbb79dW7ZsUcOGDXXs2DHde++96tWr\nl9PblxleJ0yYUOK9zWaTYRiOPzsrPT1dc+bMUWpqqg4dOqQpU6YoICBAcXFxSk5Ols1m09KlS7Vk\nyRIFBQVp3Lhx6tmzp9PfDwDlMYqLCa4A4EWGDh2qlStXKiEhoVLbl3nm7tixo+MVGBiozMxMXXHF\nFQoICFCHDh2c+vIFCxbor3/9q4qKiiRJs2bN0qRJk/TGG2/IMAytX79eWVlZSk1N1eLFi/XKK6/o\n6aefVmFhYaX+MgDwR4bdrq/+/iLBFYBl2A2by1+eVr9+fe3YsaPSec90zOuiRYu0fv16nThxQklJ\nSZo6daqGDBmiO+64w/TLY2NjNW/ePD300EOSpIyMDMdDDRISErR582YFBASoffv2Cg4OVnBwsGJj\nY7V//36e5AWgShgqAMCK/GHYwJ49e84bnmqz2bRv3z6ntjcNrytXrtR//vMfDRs2THXr1tWyZcs0\ndOhQp8Jrv3799N133znenx12IEmhoaHKyclRbm6uwsPDSyzPzc11qngAKA3BFQC819atW6u0vWl4\nDQwMVEhIiON9zZo1FRRUuUkKAv5w0cjNzVVERITCwsKUl5fnWJ6Xl6eIiAjT74qKCjf9DPwPxwWM\n4uLzhgpE90tU83F3EVxRAucLeCN/6LzOmzev1OXn3m9VFtMUGh8fr5SUFOXn52vdunVasmSJOnbs\nWLEq/6dVq1bavn27OnTooLS0NHXu3Flt27bV3LlzVVhYqIKCAmVmZiouLs70u7KycipVA3xXVFQ4\nx4WfK63jGt0vURFDRujkj3nlbAl/w/kCpeE/NO5hGIbj5v+ioiJ98sknateundPbm4bXhx56SEuX\nLlXLli21atUq9ejRQ8OHD69QkWcLnDJliqZOnaqioiI1b95cSUlJstlsGjVqlEaMGCG73a5JkyaV\n6PQCgDPKGirQfNxdBFcAlmH4Qef1nnvuKfF+/PjxGjNmjNPb2wyj9H+mo0ePOv587kdsNpsaNmxY\nkTqrHf9jxrnopPiv8sa4Noiuw3GB83C+QGm8ofPa853N5h+qoo39u7p8HxXx008/aciQIdqwYYNT\nny+z83rrrbdK+u2RXSdPnlRMTIwCAwN1+PBhxcTE6P3336+eigGgCrg5C4Av8YfOa+/evUu8z87O\n1tixY53evszwejb9Tpw4UbfccouuvvpqSdLu3bu1cOHCytQKANWK4AoA1pOamlriwVcRERElZp4y\nY3p2//rrrx3BVZLatm2rb775phKlAkD1IbgC8EWG4fqXp6WkpKhx48Zq3LixGjVqpPDwcI0ePdrp\n7U1v2Lrwwgv13HPP6brrrlNxcbHWrFmjpk2bVqloAKgKgisAWM/48eO1b98+nThxosTQgeLiYl10\n0UVOf49peJ09e7aef/55TZo0SZLUpUsXzZo1qxIlA0DVEVwB+LIy7qN3q/T0dM2ZM0epqak6dOiQ\npkyZooCAAMXFxSk5Odkxi5Qk2e12TZs2TQcOHFBwcLBmzJihJk2alPq9KSkpys7O1hNPPKGpU6c6\n/q5BQUG64IILnK7PNLxGRkZq/PjxSk9PV3Fxsa688kqFhYU5vQMAqC4EVwBwrQULFmjNmjUKDQ2V\nJM2aNUuTJk1SfHy8kpOTtX79eiUmJjo+v27dOhUVFWnx4sVKT09XSkqKXnzxxVK/Ozw8XOHh4Zo/\nf74yMjKUn58vwzBUXFysTZs2aciQIU7VaHq2/+STTzRw4ECtWLFCq1at0g033OD0VAYAUF0IrgD8\ngafHvMbGxmrevHmOrmhGRobi4+MlSQkJCdqyZUuJz+/cuVPdu3eXJLVr10579uwx/Ts+9NBDuv/+\n+3X33XfrmWee0bhx4/Tuu+86/W9k2nmdO3eu3nzzTcXExEiSjhw5ovHjx583zQEAuArBFQDco1+/\nfvruu+8c7/84jKF27drKySk5P3Jubm6J38gHBgbKbrcroJxz82effab33ntPTzzxhEaOHClJmj59\nutM1mp71z5w54wiukhQTE+MV4zEA+AeCKwB/Ythd/6qIP4bQvLw8RURElFgfFhamvLzfn2JoFlwl\nqUGDBgoJCVGzZs20f/9+xcXFlfgO05rMPnDRRRdp0aJFys3NVW5urhYtWqRGjRo5vQMAqCyCKwB4\nVqtWrbR9+3ZJUlpaWonpUyWpffv2SktLkyTt2rVLl156qel3NmjQQC+99JLat2+vJUuW6O2331Z+\nfr7TNZme/WfMmKHPP/9ciYmJ6tOnj3bu3Fmh1i4AVAbBFYA/8vSY17POzigwZcoU/f3vf9fw4cNV\nXFyspKQkSdLkyZP1ww8/qG/fvgoJCdHw4cOVkpKihx9+2PS7Z86cqcaNG6tt27bq16+f3nnnHU2b\nNs3pfyObYdExADyTGufiWeW+ozqDK8cFSsNxgdJERTn/lCdX6bJik8v3sWVwN5fvozy33367/vnP\nf1Z6e9Mbtt599129/PLLys7Odiyz2Wxav359pXcKAGWh4wrAn9kt2VKsmF9//VVHjx5Vw4YNK7W9\naXh98sknNXv27Ao9+QAAKoPgCgC+76efflLv3r1Vv3591ahRQ1LFGqOm4bVJkya66qqrTO8cA4Cq\nILgCgPNjUq1s4cKFkn4LrJUZvWoaXseOHauRI0eqQ4cOCgwMdCyfMGFChXcGAKUhuAKA/2jcuLHW\nrFmjzMxM3XXXXfrggw80cOBAp7c3vSo888wzatKkSYngCgDVheAKAL/zltkGXGn27Nn6+OOP9cEH\nH6i4uFjLly/XrFmznN7etPNaXFxcoS8EAGcRXAHA/2zatEkrV67U4MGDFR4erldffVU33HCDU9Ns\nSU6E1549eyo1NVUJCQkKDg52LK/sHWIAIBFcAaA03tAZdbVzf5tfWFhYod/wm4bXtWvXSpJeffXV\nEss3bNjg9E4A4I8IrgDgv5KSkjRx4kRlZ2dr0aJFWr16tfr37+/09qbhlZAKoDoRXAGgbIYfTPR6\n5513Ki0tTQ0bNtSxY8d07733qlevXk5vz5UCgNsQXAEAklRQUKDCwkIZhqGQkJAKbWvaeQWA6kBw\nBQBz/jDmNSUlRbt27VL//v1VXFys5557Tl988YX+8pe/OLU94RWAyxFcAQBnffTRR3r77bcdEwHc\nfPPNGjBgQPWF18zMTP373/9Wfn6+DMNQcXGxvv/+e73xxhtVqxyAXyC4AoDz/KHzWr9+feXk5Khe\nvXqSpKKiItWtW9fp7U3D68SJE5WYmKj//ve/GjRokD7++GO1aNGi8hUD8BsEVwDAuSIiInTjjTeq\nT58+CgwMVFpamurXr++Y59Xs+QKm4dUwDN17770qKipS69atNXz4cP3pT3+qnuoB+CyCKwBUnB9M\nNqB+/fqpX79+stlskqQ2bdrIZrPJMAzHsvKYhtdatWqpsLBQF198sfbu3aurr75ahYWFVa8cgM8i\nuAIAyjJ48GDl5uYqOzvbscxmszn9ACzT8HrjjTfqrrvu0tNPP61hw4YpLS1N0dHRla8YgE8juAJA\n5fnDmNcnn3xSS5cuVZ06dRzLbDab1q9f79T2puH11ltv1cCBAxUWFqbU1FTt2bNHXbt2rXzFAHwW\nwRUAYGbdunVKS0tTaGhopbYvM7wuXrxYw4cP17x5885bt3//fk2YMKFSOwTgmwiuAFB1/tB5bdmy\npQoKCqo/vJ51dvCs8Yd/TWcG0wLwHwRXAICzBgwYoGuuuUZxcXEKDAyU9Fu2/Ne//uXU9mWG1+HD\nh0uS7rnnnmooE4CvIrgCQPXxh87rzJkz9eijj+qiiy5yLKtIY7TM8NqyZcuSHwwKUkBAgAoLCxUW\nFqbPPvusEuUC8CUEVwBARYWHh2vgwIGV3r7M8Prll19Kkh577DFdddVVuuGGG2Sz2fTBBx8oLS2t\n0jsE4BsIrgBQ/Qy7pytwvauuukr33HOPEhISFBT0WxS12WxOB1rTK8zu3bs1YMAABQQEyGaz6Zpr\nrtEXX3xRtaoBWBrBFQBQWfn5+QoNDdXOnTu1fft2bdu2Tdu2bXN6e6ceUrBs2TJdd911stvtWr16\ndYWePwvAtxBcAcB1DD8Y9JqSkiJJ+uWXXxQZGVnh7U2vNLNnz9aHH36orl27KiEhQZ9++qmeeuqp\nilcKwPIIrgCAqtq3b5+SkpI0YMAAHT9+XImJidqzZ4/T25t2Xhs3bqyXXnqpSkUCsD6CKwC4nh80\nXvX4449r3rx5euCBBxQdHa1p06Zp2rRpWrZsmVPbm4bXtLQ0Pfvss8rOzna0sivyCC8A1kdwBQBU\nl19//VUtWrRwvO/WrVuFfqtvGl6feOIJPfzww2rRogUPJwD8EMEVANzHHzqvkZGR2rdvn+P9mjVr\nVKdOHae3Nw2v9erVU69evSpXHQBLI7gCAKrLypUrNWjQICUnJ2vy5Mn6+uuvddVVVyk2NlZz5sxx\n+ntMw+tVV12lWbNmqXv37qpRo4ZjeXx8fOUqB2AJBFcAcD+7D3deX3vtNQ0aNEixsbFavHix8vLy\nZLfbFR4eXqHvMQ2vu3fvliRlZGSUWJ6amlqhHQGwDoIrAMDVQkNDK7WdaXglpAL+heAKAJ7jy2Ne\nv/76a/Xu3bvUdRWZDMA0vH722WdauHChTp8+LbvdLrvdrmPHjmnDhg0VqxiA1yO4AgBcJTY2Vi+/\n/HKVH8RgGl4fffRR/fnPf9aqVas0cuRIffzxx2rdunWVdgrA+xBcAcDzDLunK3Cd4OBgNWrUqMrf\nYxpea9asqSFDhuj7779XRESEnnjiCQ0ePLjKOwbgPQiuAOAdfHnYQPv27avle0yvSjVr1tQvv/yi\npk2bKj09XTabTadPn66WnQPwPIIrAMAdHnvssWr5HtMr02233ab7779fvXv31sqVK9W/f3+1adOm\nWnYOwLMIrgDgXQzD9S+rMx02cO211+qaa65RQECAVq5cqYMHD6ply5buqA2ACxFcAQBWVG543bBh\ng1q0aKEmTZroww8/1LJly9S6dWtdcsklCuDiBlgWwRUAvFNV78T3B2VepV555RXNmzdPBQUF+vLL\nL/XAAw8oMTFReXl5evLJJ91ZI4BqRHAFAFhZmZ3XVatWacmSJapdu7bmzJmjPn36aOjQoTIMQ9de\ne607awRQTQiuAODdaLyaK/NqFRAQoNq1a0uStm3bpm7dukn67QkIAKyH4AoA8AVldl4DAwOVnZ2t\n06dPa9++fY7w+v333ys4ONhtBQKoOoIrAFgDnVdzZYbXO++8U4MGDVJRUZGGDBmiBg0aaO3atXrm\nmWc0YcIEd9YIoAoIrgAAX1JmeE1KStKVV16pn3/+2TE1VmhoqGbMmKGOHTu6rUAAlUdwBQBrsfvw\n42GrS7lTZUVHRys6OtrxvkePHi4vCED1ILgCAHyR6UMKAFgPwRUALIoxr6a4igE+huAKAPBldF4B\nH0JwBQCLs3u29bpy5UqtWLFCkhwPqtqyZYvCwsIkSYsWLdKyZctUt25dSdL06dPVtGlTt9ZIeAV8\nBMEVAFBVgwYN0qBBgyT9FkyHDh3qCK6StHfvXj311FNq3bq1p0pk2ADgCwiuAOAjDMP1Lyd88cUX\n+uqrrzR06NASy/fu3av58+drxIgRevnll13xL2CKqxpgcQRXAEB1e+mll3TPPfect7x///6aPn26\nXnvtNf33v//Vxo0b3V4bVzbAwgiuAOBbbHbD5S8zp06d0sGDB9WhQ4fz1o0ePVqRkZEKDg5Wjx49\nlJGR4Yp/hnJxdQMsiuAKAHCFHTt2qFOnTuctz8nJ0fXXX6/8/HwZhqGtW7eqTZs2bq+PG7YACyK4\nAoCP8oJ5Xg8ePKgmTZo43r/99tvKz8/XsGHDNHHiRI0aNUohISHq0qWLEhIS3F6fzTCcHLnrZbKy\ncjxdArxMVFS4XxwXBNeK8ZfjAhXDcYHSREWFe7oExc7e4PJ9HHqwt8v34Up0XgELIbgCgI/z8Dyv\nVsDVDrAIgisAAHReAUsguAKAn6DzaoqrHuDlCK4AAPyOzivgxQiuAOBnrHkfvVtx9QO8FMEVAIDz\n0XkFvBDBFQD8lN3TBXg/roKAlyG4AgBQNjqvgBchuAKAf7Mx5tUUV0PASxBcAQAwR+cV8AIEVwCA\nJOZ5dQJXRcDDCK4AADiPzivgQQRXAEAJdF5NcXUEPITgCgBAxdF5BTyA4AoAKBWzDZjiKgm4GcEV\nAIDKo/MKuBHBFQBQLp6wZYqrJeAmBFcAAKqOzivgBgRXAIBTGPNqiqsm4GIEVwAAqg+dV8CFCK4A\ngAphnldTXD0BFyG4AgBQ/ei8Ai5AcAUAVIaNzqsprqJANSO4AgDgOnRegWpEcAUAVAmNV1NcTYFq\nQnAFAMD16LwC1YDgCgCoFox5NcVVFagigisAAO5D5xWoAoIrAKBa8YQtU4RXoJIIrgCAasewAVNc\nYYFKILgCAOAZdF6BCiK4AgBcxu7pArwfV1qgAgiuAAB4Fp1XwEkEVwCAq9m4YcsUV1zACQRXAAC8\nA51XwATBFQDgNsw2YIorL1AOgisAAN6FzitQBoIrAMDtGPNqiiswUAqCKwAA3onOK3AOgisAwGOY\n59UUV2LgDwiuAAB4NzqvwP8QXAEAHsdsA6a4IgMiuAIAYBV0XuH3CK4AAK/BbAOmuDLDrxFcAQCw\nFjqv8FsEVwCA12HMqymu0PBLBFcAAKyJziv8DsEVAOCtbDReTXGlhl8huAIAYG10XuE3CK4AAK/H\nmFdThFf4BYIrAADOGTRokMLCwiRJMTExmjlzpmPdhg0b9OKLLyooKEg33XSThg4d6vb6CK/weQRX\nAIBleLjzWlBQIElKTU09b11RUZFSUlK0fPly1axZUzfffLN69+6t+vXru7VGrtzwaQRXAACc9+WX\nX+r06dMaO3asRo8erfT0dMe6zMxMNWnSROHh4QoODtZVV12lHTt2uL1GOq/wWQRXAIDleHjIa61a\ntTR27FgNHTpUBw8e1J///Ge9//77CggIUG5ursLDwx2fDQ0NVU5OjttrJLzCJxFcAQCouIsvvlix\nsbGOP0dGRiorK0vR0dEKDw9XXl6e47N5eXmqU6eO22vkKg6fQ3AFAFiWYbj+VY7ly5crJSVFknT8\n+HHl5ubqggsukCQ1a9ZMhw4dUnZ2tgoLC7Vjxw5dccUVLv8nORedV/gUgisAAJU3ZMgQTZkyRSNG\njJDNZtOsWbP07rvvKj8/X8OGDdOUKVM0duxY2e12DRkyRA0aNHB7jTbDMIngLnDuFAx33XWXpkyZ\nooCAAMXFxSk5OVk2m63c78jKcv8YC3i3C+rV1p7ZzxFcUUJUVDjnC5yH4wKliYoKN/+QizW/5d8u\n30fmGze7fB+u5PbOa2lTMPzlL3/RpEmTFB8fr+TkZK1fv16JiYnuLg0WZtjt+urvLxJcAQDwcW6/\nqp87BcOuXbuUkZGh+Ph4SVJCQoK2bNni7rJgYWeHCmR9tNGxjOAKALAkww0vi3N75/XcKRjuuOOO\nEutr167tkWkXYE2McQUAwL+4PbyWNgXDvn37HOvz8vIUERFh+j3eMC4FnmUUF583VCC6X6Kaj7uL\n4IoSOF+gNBwX8EruvxXJctweXpcvX64DBw4oOTlZx48fV15enrp27art27erQ4cOSktLU+fOnU2/\nh4H2/q20jmt0v0RFDBmhkz/mlbMl/A0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sWKGTjRr/tPBwiS5s3ixAVQIIRqE4htVms6lJkyaSfhrParPZNGHCBC1evLja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\ndMmIjo42Ro8erXuGF/CqKQHVeXyr1G6HDx/m6tW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3Vp3y8vIt2S/sKzGxDscFzlPWcUEodTbOFyhNYmIdq0vQdcs+Cvo+3rk6sIlI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\nAADATuiYOhShFAAAwF4c2TEllAIAADs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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sapm_sd_scatter(wnd_spd, label='Wind speed', vmax=10)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notice the use of the ``vmax`` keyword argument in the above example. The ``**kwargs`` pattern allows us to easily pass non-specified arguments to nested functions." - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def sapm_other_scatter(c_data, x_data, clabel=None, xlabel=None, aspect_equal=False, **kwargs):\n", - " \"\"\"Display a scatter plot of SAPM p_ac vs. something else.\n", - " \n", - " You need to re-execute this cell if you re-run the p_ac calculation.\n", - " \n", - " Parameters\n", - " ----------\n", - " c_data : array-like\n", - " Determines the color of each point on the scatter plot.\n", - " Must be same length as p_acs.\n", - " x_data : array-like\n", - " \n", - " kwargs passed to ``scatter``.\n", - " \n", - " Returns\n", - " -------\n", - " tuple of fig, ax objects\n", - " \"\"\"\n", - " \n", - " nonnull_idx = ~p_acs['sapm'].isnull()\n", - " \n", - " fig = plt.figure(figsize=(12,12))\n", - " \n", - " if aspect_equal:\n", - " ax = fig.add_subplot(111, aspect='equal')\n", - " else:\n", - " ax = fig.add_subplot(111)\n", - " sc = ax.scatter(x_data[nonnull_idx], p_acs['sapm'][nonnull_idx], c=c_data[nonnull_idx], alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) \n", - " ax.set_xlim(0, None)\n", - " ax.set_ylim(0, None)\n", - " ax.set_xlabel('{}'.format(xlabel))\n", - " ax.set_ylabel('Sandia model power (W)')\n", - " fig.colorbar(sc, label='{}'.format(clabel), shrink=0.75)\n", - " \n", - " return fig, ax" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(,\n", - " )" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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+qhKonFeT1379+umHH35wbbdt21a33367WrVqpblz52rOnDlq2bKlIiIiXMeEhYWpoKDA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\nXN/98Y9/1Pjx45WYmKjJkydr9erV6tO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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sapm_other_scatter(temperature, forecast_data['ghi'], clabel='Temperature (deg C)', xlabel='GHI (W/m**2)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, we will assume that the SAPM model is representative of the real world performance so that we can use scipy's optimization routine to derive simulated PVUSA coefficients. You will need to install scipy to run these functions.\n", - "\n", - "Here's one PVUSA reference:\n", - "\n", - "http://www.nrel.gov/docs/fy09osti/45376.pdf\n" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def pvusa(pvusa_data, a, b, c, d):\n", - " \"\"\"\n", - " Calculates system power according to the PVUSA equation\n", - " \n", - " P = I * (a + b*I + c*W + d*T)\n", - " \n", - " where\n", - " P is the output power,\n", - " I is the plane of array irradiance,\n", - " W is the wind speed, and\n", - " T is the temperature\n", - " \n", - " Parameters\n", - " ----------\n", - " pvusa_data : pd.DataFrame\n", - " Must contain the columns 'I', 'W', and 'T'\n", - " a : float\n", - " I coefficient\n", - " b : float\n", - " I*I coefficient\n", - " c : float\n", - " I*W coefficient\n", - " d : float\n", - " I*T coefficient\n", - " \n", - " Returns\n", - " -------\n", - " power : pd.Series\n", - " Power calculated using the PVUSA model.\n", - " \"\"\"\n", - " return pvusa_data['I'] * (a + b*pvusa_data['I'] + c*pvusa_data['W'] + d*pvusa_data['T'])" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "from scipy import optimize" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "pvusa_data_temp = pd.DataFrame()\n", - "nonnull_idx = ~poa_irrad.poa_global.isnull()\n", - "pvusa_data_temp['I'] = poa_irrad.poa_global\n", - "pvusa_data_temp['W'] = wnd_spd\n", - "pvusa_data_temp['T'] = temperature\n", - "pvusa_data = pvusa_data_temp[nonnull_idx]" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "optimized coefs:\n", - "[ 1.79250275e-01 3.16380526e-06 1.00000000e-03 1.00000000e-03]\n", - "covariances:\n", - "[[ inf inf inf inf]\n", - " [ inf inf inf inf]\n", - " [ inf inf inf inf]\n", - " [ inf inf inf inf]]\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\scipy\\optimize\\minpack.py:604: OptimizeWarning: Covariance of the parameters could not be estimated\n", - " category=OptimizeWarning)\n" - ] - } - ], - "source": [ - "popt, pcov = optimize.curve_fit(pvusa, pvusa_data, p_acs.sapm[nonnull_idx].values, p0=(.0001,0.0001,.001,.001))\n", - "print('optimized coefs:\\n{}'.format(popt))\n", - "print('covariances:\\n{}'.format(pcov))" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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ExER6egia9PG/XX6ORZ17ufwcZRk8eLDefvvtMr8bNGiQ1q1b59RxDCezdu7c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\njz7S4MGDtWbNGr399tu6444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CAOA7aF4R0AiuAACvwpxXQzSvCFgEVwAAfA/NKwISwRUA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\nt8gAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "power_pvusa = pvusa(pvusa_data, *popt)\n", - "\n", - "fig, ax = sapm_other_scatter(temperature[nonnull_idx], power_pvusa, clabel='Temperature (deg C)',\n", - " aspect_equal=True, xlabel='PVUSA (W)')\n", - "\n", - "maxmax = max(ax.get_xlim()[1], ax.get_ylim()[1])\n", - "ax.set_ylim(None, maxmax)\n", - "ax.set_xlim(None, maxmax)\n", - "ax.plot(np.arange(maxmax), np.arange(maxmax), 'r')" - ] + "source": [] } ], "metadata": { diff --git a/pvlib/forecast.py b/pvlib/forecast.py index a813934d4f..48c4f6d382 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -2,13 +2,16 @@ The 'forecast' module contains class definitions for retreiving forecasted data from UNIDATA Thredd servers. ''' - +import datetime +from xml.etree.ElementTree import ParseError from netCDF4 import num2date import pandas as pd import numpy as np -from pvlib import * from pvlib.location import Location +from pvlib.tools import localize_to_utc +from pvlib.solarposition import get_solarposition +from pvlib.irradiance import liujordan from siphon.catalog import TDSCatalog from siphon.ncss import NCSS @@ -121,9 +124,17 @@ def __init__(self, model_type, model_name, set_type): self.catalog = TDSCatalog(self.catalog_url) self.fm_models = TDSCatalog(self.catalog.catalog_refs[model_type].href) self.fm_models_list = sorted(list(self.fm_models.catalog_refs.keys())) - self.model = TDSCatalog(self.fm_models.catalog_refs[model_name].href) - self.datasets_list = list(self.model.datasets.keys()) - self.set_dataset() + + try: + model_url = self.fm_models.catalog_refs[model_name].href + self.model = TDSCatalog(model_url) + self.datasets_list = list(self.model.datasets.keys()) + self.set_dataset() + except ParseError: + import warnings + warnings.warn(self.model_name + ' model is unavailable.') + + def set_dataset(self): ''' @@ -155,7 +166,7 @@ def set_query_latlon(self): self.longitude[0], self.longitude[1]) self.lbox = True else: - self.query.lonlat_point(self.longitude[0], self.latitude[0]) + self.query.lonlat_point(self.longitude, self.latitude) self.lbox = False def set_query_time(self): @@ -164,15 +175,34 @@ def set_query_time(self): as: single or range - ''' + ''' if len(self.utctime) == 1: self.query.time(pd.to_datetime(self.utctime)[0]) else: self.query.time_range(pd.to_datetime(self.utctime)[0], - pd.to_datetime(self.utctime)[-1]) + pd.to_datetime(self.utctime)[-1]) + + def set_location(self, time): + ''' + Sets the location for + + Parameters + ---------- + time: datetime or DatetimeIndex + Time range of the query. + ''' + if isinstance(time, datetime.datetime): + tzinfo = time.tzinfo + else: + try: + tzinfo = time.tz + except TypeError: + tzinfo = None + + self.location = Location(self.latitude, self.longitude, tz=tzinfo) - def get_query_data(self, latitude, longitude, time, location, - vert_level=None, variables=None): + def get_query_data(self, latitude, longitude, time, vert_level=None, + variables=None): ''' Submits a query to the UNIDATA servers using siphon NCSS and converts the netcdf data to a pandas DataFrame. @@ -204,12 +234,13 @@ def get_query_data(self, latitude, longitude, time, location, self.columns = self.modelvariables self.dataframe_variables = self.modelvariables + self.latitude = latitude self.longitude = longitude self.set_query_latlon() + self.set_location(time) - self.location = location - self.utctime = tools.localize_to_utc(time, location) + self.utctime = localize_to_utc(time, self.location) self.set_query_time() self.query.vertical_level(self.vert_level) @@ -226,7 +257,7 @@ def get_query_data(self, latitude, longitude, time, location, self.calc_wind(netcdf_data) self.calc_radiation(netcdf_data) - self.data = self.data.tz_convert(location.tz) + self.data = self.data.tz_convert(self.location.tz) netcdf_data.close() @@ -273,7 +304,7 @@ def set_time(self, time): times = num2date(time[:].squeeze(), time.units) self.time = pd.DatetimeIndex(pd.Series(times), tz='UTC') self.time = self.time.tz_convert(self.location.tz) - self.utctime = tools.localize_to_utc(self.time, self.location.tz) + self.utctime = localize_to_utc(self.time, self.location.tz) def set_variable_units(self, data): ''' @@ -307,8 +338,7 @@ def set_variable_stdnames(self, data): except AttributeError: self.var_stdnames[var] = var - def calc_radiation(self, data, cloud_type='total_clouds', rad_funcs=None, - args=None, rad=None): + def calc_radiation(self, data, cloud_type='total_clouds'): ''' Determines shortwave radiation values if they are missing from the model data. @@ -329,49 +359,17 @@ def calc_radiation(self, data, cloud_type='total_clouds', rad_funcs=None, self.rad_type = {} if not self.lbox and cloud_type in self.data: cloud_prct = self.data[cloud_type] - solpos = solarposition.get_solarposition(self.time, self.location) + solpos = get_solarposition(self.time, self.location) self.zenith = np.array(solpos.zenith.tz_convert('UTC')) - if rad_funcs is None: - for rad in ['dni','dhi','ghi']: - if rad in self.modelvariables: - self.data[rad] = pd.Series( - data[self.variables[rad]][:].squeeze(), - index=self.time) - self.rad_type[rad] = 'forecast' - else: - self.rad_type[rad] = 'liujordan' - if rad == 'dni': - self.data['dni'] = \ - irradiance.liujordan_dni(self.zenith, - cloud_prct) - elif rad == 'dhi': - self.data['dhi'] = \ - irradiance.liujordan_dhi(self.zenith, - cloud_prct) - elif rad == 'ghi': - self.data['ghi'] = \ - irradiance.liujordan_ghi(self.zenith, - cloud_prct) - elif rad_funcs == ['linear']: - cs = clearsky.ineichen(self.data.index, self.location) - cs_scaled = cs.mul((100. - self.data['total_clouds']) / 100., - axis=0) - self.data['dni'] = cs - self.data['ghi'] = cs_scaled - self.rad_type['dni'] = 'linear' - self.rad_type['ghi'] = 'linear' - self.rad_type['dhi'] = 'forecast' - else: - length = len(rad_funcs) - if any(len(lst) != length for lst in [args, keys]): - import warnings - warnings.warn('Radiation functions, arguments, and keys \ - should be of equal length') - return - - for i in range(len(rad_funcs)): - self.data[keys[i]] = rad_funcs[i](*args[i]) - self.rad_type[keys[i]] = rad_funcs + for rad in ['dni','dhi','ghi']: + if rad in self.modelvariables: + self.data[rad] = pd.Series( + data[self.variables[rad]][:].squeeze(), + index=self.time) + self.rad_type[rad] = 'forecast' + else: + self.rad_type[rad] = 'liujordan' + self.data[rad] = liujordan(self.zenith, cloud_prct)[rad] for var in ['dni', 'dhi', 'ghi']: self.var_units[var] = '$W m^{-2}$' diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index 4c014ccab4..1c970a532b 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -1906,12 +1906,14 @@ def _get_dirint_coeffs(): return coeffs[1:,1:,:,:] -def liujordan_dni(zenith, cloud_prct, pressure=101325.): +def liujordan(zenith, cloud_prct, pressure=101325.): ''' - Determine DNI from extraterrestrial flux, transmittance, and optical - air mass number. + Determine DNI, DHI, GHI from extraterrestrial flux, transmittance, + and optical air mass number. Liu and Jordan, 1960, developed a simplified direct radiation model. + DHI is from an empirical equation for diffuse radiation from Liu and + Jordan, 1960. Parameters ---------- @@ -1925,44 +1927,9 @@ def liujordan_dni(zenith, cloud_prct, pressure=101325.): Returns ------- - dni : pd.Series. - The modeled direct normal irradiance in W/m^2 provided by the - Liu and Jordan model. - - References - ---------- - [1] Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and - characteristic distribution of direct, diffuse, and total solar - radiation". Solar Energy 4:1-19 - ''' - - dni_extra = 1367.0 # W m^-2 - tao = atmosphere.transmittance(zenith, cloud_prct) - airmass_relative = atmosphere.relativeairmass(zenith) - airmass = atmosphere.absoluteairmass(airmass_relative, pressure=pressure) - - return dni_extra*tao**airmass - - -def liujordan_dhi(zenith, cloud_prct, pressure=101325.): - ''' - Determine DHI from extraterrestrial flux, transmittance, and optical - air mass number. - - Empirical equation for diffuse radiation from Liu and Jordan, 1960. - - Parameters - ---------- - zenith : pd.Series - True (not refraction-corrected) zenith angles in decimal - degrees. If Z is a vector it must be of the same size as - all other vector inputs. Z must be >=0 and <=180. - - Returns - ------- - dni : pd.Series. - The modeled direct normal irradiance in W/m^2 provided by the - Liu and Jordan model. + Pandas.DataFrame + Modeled direct normal irradiance, direct horizontal irradiance, and + global horizontal irradiance in W/m^2 References ---------- @@ -1971,41 +1938,16 @@ def liujordan_dhi(zenith, cloud_prct, pressure=101325.): [2] Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and characteristic distribution of direct, diffuse, and total solar - radiation". Solar Energy 4:1-19 + radiation". Solar Energy 4:1-19 ''' dni_extra = 1367.0 # W m^-2 tao = atmosphere.transmittance(zenith, cloud_prct) airmass_relative = atmosphere.relativeairmass(zenith) airmass = atmosphere.absoluteairmass(airmass_relative, pressure=pressure) - dhi = 0.3 * (1.0 - tao**airmass) * dni_extra * np.cos(np.radians(zenith)) - - return dhi - -def liujordan_ghi(zenith, cloud_prct, pressure=101325.): - ''' - Determine GHI from balance of DNI and DHI. - - Parameters - ---------- - zenith : pd.Series - True (not refraction-corrected) zenith angles in decimal - degrees. If Z is a vector it must be of the same size as - all other vector inputs. Z must be >=0 and <=180. - - Returns - ------- - dni : pd.Series. - The modeled direct normal irradiance in W/m^2 provided by the - Liu and Jordan model. - - References - ---------- - [1] Campbell, G. S., J. M. Norman (1998) An Introduction to - Environmental Biophysics. 2nd Ed. New York: Springer. - ''' + dni = dni_extra*tao**airmass + dhi = 0.3 * (1.0 - tao**airmass) * dni_extra * np.cos(np.radians(zenith)) + ghi = dhi + dni * np.cos(np.radians(zenith)) - return liujordan_dhi(zenith,cloud_prct,pressure) + \ - liujordan_dni(zenith,cloud_prct,pressure) * \ - np.cos(np.radians(zenith)) \ No newline at end of file + return pd.DataFrame({'ghi': ghi, 'dni': dni, 'dhi': dhi}) From 210ec961386ef1b020c1bd51e66c6ae2a6f4e450 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Mon, 14 Dec 2015 12:19:57 -0700 Subject: [PATCH 26/88] Updated forecast.py tests --- pvlib/atmosphere.py | 23 ----- pvlib/forecast.py | 7 +- pvlib/irradiance.py | 21 ++++ pvlib/test/test_forecast.py | 177 +++++++++------------------------- pvlib/test/test_irradiance.py | 10 ++ 5 files changed, 79 insertions(+), 159 deletions(-) diff --git a/pvlib/atmosphere.py b/pvlib/atmosphere.py index 19f358c03e..b0e49f6be0 100644 --- a/pvlib/atmosphere.py +++ b/pvlib/atmosphere.py @@ -278,26 +278,3 @@ def transmittance(zenith, cloud_prct): ''' return ((100.0 - cloud_prct) / 100.0) * 0.75 - - -def cloudy_day_check(zenith, cloud_prct, pressure=101325.): - ''' - Determines if the sky is overcast. - - Returns - ------- - logical: bool - Is the sky is overcast. - - References - ---------- - [1] Campbell, G. S., J. M. Norman (1998) An Introduction to - Environmental Biophysics. 2nd Ed. New York: Springer. - ''' - - sb = atmosphere.liujordan_dni(zenith, cloud_prct, pressure) * \ - np.cos(np.radians(zenith)) - - return sb < 10.0 - - diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 48c4f6d382..0686dbb8da 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -133,7 +133,6 @@ def __init__(self, model_type, model_name, set_type): except ParseError: import warnings warnings.warn(self.model_name + ' model is unavailable.') - def set_dataset(self): @@ -160,14 +159,14 @@ def set_query_latlon(self): Sets the NCSS query location latitude and longitude. ''' - if self.longitude is list: + if isinstance(self.longitude, list): + self.lbox = True # west, east, south, north self.query.lonlat_box(self.latitude[0], self.latitude[1], self.longitude[0], self.longitude[1]) - self.lbox = True else: - self.query.lonlat_point(self.longitude, self.latitude) self.lbox = False + self.query.lonlat_point(self.longitude, self.latitude) def set_query_time(self): ''' diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index 1c970a532b..7eaa122116 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -1951,3 +1951,24 @@ def liujordan(zenith, cloud_prct, pressure=101325.): ghi = dhi + dni * np.cos(np.radians(zenith)) return pd.DataFrame({'ghi': ghi, 'dni': dni, 'dhi': dhi}) + + +def cloudy_day_check(zenith, cloud_prct, pressure=101325.): + ''' + Determines if the sky is overcast. + + Returns + ------- + logical: bool + Is the sky is overcast. + + References + ---------- + [1] Campbell, G. S., J. M. Norman (1998) An Introduction to + Environmental Biophysics. 2nd Ed. New York: Springer. + ''' + + dni = liujordan(zenith, cloud_prct, pressure)['dni'] * \ + np.cos(np.radians(zenith)) + + return dni < 10.0 \ No newline at end of file diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index dada38b884..b4cf4b6c75 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -14,183 +14,96 @@ import pvlib.solarposition as solarposition from pvlib.location import Location -# setup times and location to be tested. -_location = [32.2,-110.9] # Tucson, AZ +# setup times and location to be tested. Tucson, AZ +_latitude = 32.2 +_longitude = -110.9 _tz = 'US/Arizona' -_timerange = pd.DatetimeIndex([datetime.now()], tz=_tz) -_model_list = ['GFS','HRRR_ESRL','NAM','HRRR','NDFD','RAP'] +_time = pd.DatetimeIndex([datetime.now()], tz=_tz) +_model_list = ['GFS', 'HRRR_ESRL', 'NAM', 'HRRR', 'NDFD', 'RAP'] _models = {} _variables = np.array(['temperature', - 'temperature_iso', - 'wind_speed', - 'wind_speed_gust', - 'pressure', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', - 'boundary_clouds', - 'convect_clouds', - 'downward_shortwave_radflux', - 'downward_shortwave_radflux_avg',]) + 'wind_speed', + 'pressure', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'dni', + 'dhi', + 'ghi',]) def test_fmcreation(): members = inspect.getmembers(forecast,inspect.isclass) - [members.remove(cls) for cls in members if cls[0] in ['ForecastModel','NCSS','TDSCatalog'] ] + [members.remove(cls) for cls in members if cls[0] in ['ForecastModel', + 'NCSS', 'TDSCatalog']] for model in members: if model[0] in _model_list: amodel = model[1]() - _models[model[0]] = amodel + if model[0] != _model_list[1]: + _models[model[0]] = amodel + def test_data_query(): - names = [] + exclude_models = [] for name, model in _models.items(): - try: - data = model.get_query_data(_location,_timerange) - except requests.exceptions.HTTPError: - names.append(name) + data = model.get_query_data(_latitude, _longitude, _time) - for name in names: - _models.pop(name) def test_dataframe(): for name, model in _models.items(): for variable in _variables: assert variable in model.data.columns -def test_cloudy_day(): - amodel = _models['GFS'] - a_point = Location(_location[0], _location[1], altitude=7.0, name='Tucson',tz=_tz) - solpos = solarposition.get_solarposition(amodel.time, a_point) - - amodel.addRadiation(solpos.zenith) - amodel.cloudy_day_check() def test_vert_level(): amodel = _models['GFS'] vert_level = 5000 - data = amodel.get_query_data(_location,_timerange,vert_level=vert_level) + data = amodel.get_query_data(_latitude, _longitude, _time, vert_level=vert_level) -def test_single_day(): + +def test_timerange(): amodel = _models['GFS'] start = datetime.now() # today's date end = start + timedelta(days=7) # 7 days from today timerange = pd.date_range(start, end, tz=_tz) - data = amodel.get_query_data(_location,timerange) + data = amodel.get_query_data(_latitude, _longitude , timerange) + def test_variables(): amodel = _models['GFS'] - data_labels = amodel.data_labels - label_dict = {'u':'u-component_of_wind_height_above_ground'} - data = amodel.get_query_data(_location,_timerange,labels=label_dict) - amodel.data_labels = data_labels + old_variables = amodel.variables + new_variables = {'u':'u-component_of_wind_height_above_ground'} + data = amodel.get_query_data(_latitude, _longitude, _time, + variables=new_variables) + amodel.variables = old_variables + def test_latest(): forecast.GFS(set_type='latest') + def test_full(): forecast.GFS(set_type='full') -def test_bounding_box(): - amodel = forecast.GFS() - location = [-111.9,-110.9,31.2,32.2] - data = amodel.get_query_data(location,_timerange,labels={'pressure':'Pressure_surface'}) -def test_tao(): - amodel = _models['GFS'] - amodel.data = pd.DataFrame({'total_clouds':[0.0,100.0]}) - tao = amodel.tao() - - assert tao[0] == 0.4 - assert tao[1] == 0.75 - -def test_airmass(): - amodel = _models['GFS'] - amodel.zenith = np.array([90,60,30]) - m = amodel.air_mass() +def test_gfs(): + forecast.GFS(res='quarter') - assert_almost_equal(m,[37.919608, - 1.9942928, - 1.1539922], 1) def test_temp_convert(): amodel = _models['GFS'] - amodel.data = pd.DataFrame({'temperature':[273.15],'temperature_iso':[273.15]}) + amodel.data = pd.DataFrame({'temperature':[273.15]}) amodel.convert_temperature() assert amodel.data['temperature'].values == 0.0 - assert amodel.data['temperature_iso'].values == 0.0 - -def test_dni(): - pass - -def test_dhi(): - pass - -def test_ghi(): - pass - -def test_varmap(): - varmap_dict = \ - {'GFS':['Temperature_isobaric', - 'Wind_speed_gust_surface', - 'Pressure_surface', - 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'Total_cloud_cover_convective_cloud', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',], - 'HRRR_ESRL':['Temperature_surface', - 'Wind_speed_gust_surface', - 'Pressure_surface', - 'Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_UnknownLevelType-214', - 'Medium_cloud_cover_UnknownLevelType-224', - 'High_cloud_cover_UnknownLevelType-234', - 'Downward_short-wave_radiation_flux_surface',], - 'NAM':['Temperature_surface', - 'Temperature_isobaric', - 'Wind_speed_gust_surface', - 'Pressure_surface', - 'Total_cloud_cover_entire_atmosphere_single_layer', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud', - 'Downward_Short-Wave_Radiation_Flux_surface', - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average',], - 'HRRR':['Temperature_height_above_ground', - 'Temperature_isobaric', - 'Wind_speed_gust_surface', - 'Pressure_surface', - 'Total_cloud_cover_entire_atmosphere', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud',], - 'NDFD':['Temperature_surface', - 'Wind_speed_surface', - 'Wind_speed_gust_surface', - 'Total_cloud_cover_surface',], - 'RAP':['Temperature_surface', - 'Wind_speed_gust_surface', - 'Pressure_surface', - 'Total_cloud_cover_entire_atmosphere_single_layer', - 'Low_cloud_cover_low_cloud', - 'Medium_cloud_cover_middle_cloud', - 'High_cloud_cover_high_cloud',]} - - idx_dict = \ - {'GFS':[1,3,4,5,6,7,8,9,10], - 'HRRR_ESRL':[0,3,4,5,6,7,8,11], - 'NAM':[0,1,3,4,5,6,7,8,11,12], - 'HRRR':[0,1,3,4,5,6,7,8], - 'NDFD':[0,2,3,5], - 'RAP':[0,3,4,5,6,7,8]} - - for name,model in _models.items(): - label_dict = dict(zip(_variables[idx_dict[name]],varmap_dict[name])) - for key, _ in model.data_labels.items(): - assert label_dict[key] == model.data_labels[key] + + +def test_bounding_box(): + amodel = forecast.GFS() + latitude = [31.2,32.2] + longitude = [-111.9,-110.9] + new_variables = {'temperature':'Temperature_surface'} + data = amodel.get_query_data(latitude, longitude, _time, + variables=new_variables) diff --git a/pvlib/test/test_irradiance.py b/pvlib/test/test_irradiance.py index 47d86a4048..a6c6194776 100644 --- a/pvlib/test/test_irradiance.py +++ b/pvlib/test/test_irradiance.py @@ -138,6 +138,16 @@ def test_perez(): ephem_data['apparent_azimuth'], AM) +def test_liujordan(): + cloud_prct = np.array([40]*len(ephem_data['apparent_zenith'])) + irradiance.liujordan(ephem_data['apparent_zenith'], cloud_prct) + + +def test_cloudy_day(): + cloud_prct = np.array([40]*len(ephem_data['zenith'])) + irradiance.cloudy_day_check(ephem_data['zenith'], cloud_prct) + + def test_total_irrad(): models = ['isotropic', 'klutcher', 'haydavies', 'reindl', 'king', 'perez'] AM = atmosphere.relativeairmass(ephem_data['apparent_zenith']) From 194313dc3877887485cfc6104afee25c7c5235b5 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Wed, 23 Dec 2015 20:48:35 -0500 Subject: [PATCH 27/88] Updated forecast, tests, and notebooks --- docs/_themes/sphinx_rtd_theme/__init__.py | 17 + .../_themes/sphinx_rtd_theme/breadcrumbs.html | 31 ++ docs/_themes/sphinx_rtd_theme/footer.html | 52 ++ docs/_themes/sphinx_rtd_theme/layout.html | 196 +++++++ docs/_themes/sphinx_rtd_theme/layout_old.html | 205 +++++++ docs/_themes/sphinx_rtd_theme/search.html | 50 ++ docs/_themes/sphinx_rtd_theme/searchbox.html | 9 + .../static/css/badge_only.css | 2 + .../static/css/badge_only.css.map | 7 + 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+- docs/tutorials/notebooks/forecast.ipynb | 440 ++++++++------- .../notebooks/forecast_to_power.ipynb | 295 +++++----- pvlib/atmosphere.py | 2 +- pvlib/forecast.py | 212 +++---- pvlib/irradiance.py | 2 +- pvlib/test/test_atmosphere.py | 4 + pvlib/test/test_forecast.py | 84 +-- 34 files changed, 1854 insertions(+), 504 deletions(-) create mode 100644 docs/_themes/sphinx_rtd_theme/__init__.py create mode 100644 docs/_themes/sphinx_rtd_theme/breadcrumbs.html create mode 100644 docs/_themes/sphinx_rtd_theme/footer.html create mode 100644 docs/_themes/sphinx_rtd_theme/layout.html create mode 100644 docs/_themes/sphinx_rtd_theme/layout_old.html create mode 100644 docs/_themes/sphinx_rtd_theme/search.html create mode 100644 docs/_themes/sphinx_rtd_theme/searchbox.html create mode 100644 docs/_themes/sphinx_rtd_theme/static/css/badge_only.css create mode 100644 docs/_themes/sphinx_rtd_theme/static/css/badge_only.css.map create mode 100644 docs/_themes/sphinx_rtd_theme/static/css/theme.css create mode 100644 docs/_themes/sphinx_rtd_theme/static/css/theme.css.map create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/FontAwesome.otf create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/Inconsolata-Bold.ttf create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/Inconsolata-Regular.ttf create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/Lato-Bold.ttf create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/Lato-Regular.ttf create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/RobotoSlab-Bold.ttf create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/RobotoSlab-Regular.ttf create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/fontawesome-webfont.eot create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/fontawesome-webfont.svg create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/fontawesome-webfont.ttf create mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/fontawesome-webfont.woff create mode 100644 docs/_themes/sphinx_rtd_theme/static/js/modernizr.min.js create mode 100644 docs/_themes/sphinx_rtd_theme/static/js/theme.js create mode 100644 docs/_themes/sphinx_rtd_theme/theme.conf create mode 100644 docs/_themes/sphinx_rtd_theme/versions.html diff --git a/docs/_themes/sphinx_rtd_theme/__init__.py b/docs/_themes/sphinx_rtd_theme/__init__.py new file mode 100644 index 0000000000..88ddcce25c --- /dev/null +++ b/docs/_themes/sphinx_rtd_theme/__init__.py @@ -0,0 +1,17 @@ +"""Sphinx ReadTheDocs theme. + +From https://github.com/ryan-roemer/sphinx-bootstrap-theme. + +""" +import os + +VERSION = (0, 1, 9) + +__version__ = ".".join(str(v) for v in VERSION) +__version_full__ = __version__ + + +def get_html_theme_path(): + """Return list of HTML theme paths.""" + cur_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__))) + return cur_dir diff --git a/docs/_themes/sphinx_rtd_theme/breadcrumbs.html b/docs/_themes/sphinx_rtd_theme/breadcrumbs.html new file mode 100644 index 0000000000..7c2ce5c8fd --- /dev/null +++ b/docs/_themes/sphinx_rtd_theme/breadcrumbs.html @@ -0,0 +1,31 @@ +{# Support for Sphinx 1.3+ page_source_suffix, but don't break old builds. #} + +{% if page_source_suffix %} +{% set suffix = page_source_suffix %} +{% else %} +{% set suffix = source_suffix %} +{% endif %} + +
+ +
+
diff --git a/docs/_themes/sphinx_rtd_theme/footer.html b/docs/_themes/sphinx_rtd_theme/footer.html new file mode 100644 index 0000000000..f4396eecbd --- /dev/null +++ b/docs/_themes/sphinx_rtd_theme/footer.html @@ -0,0 +1,52 @@ +
+ {% if next or prev %} + + {% endif %} + +
+ +
+

+ {%- if show_copyright %} + {%- if hasdoc('copyright') %} + {% trans path=pathto('copyright'), copyright=copyright|e %}© Copyright {{ copyright }}.{% endtrans %} + {%- else %} + {% trans copyright=copyright|e %}© Copyright {{ copyright }}.{% endtrans %} + {%- endif %} + {%- endif %} + + {%- if build_id and build_url %} + {% trans build_url=build_url, build_id=build_id %} + + Build + {{ build_id }}. + + {% endtrans %} + {%- elif commit %} + {% trans commit=commit %} + + Revision {{ commit }}. + + {% endtrans %} + {%- elif last_updated %} + {% trans last_updated=last_updated|e %}Last updated on {{ last_updated }}.{% endtrans %} + {%- endif %} + +

+
+ + {%- if show_sphinx %} + {% trans %}Built with Sphinx using a theme provided by Read the Docs{% endtrans %}. + {%- endif %} + + {%- block extrafooter %} {% endblock %} + +
+ diff --git a/docs/_themes/sphinx_rtd_theme/layout.html b/docs/_themes/sphinx_rtd_theme/layout.html new file mode 100644 index 0000000000..44978c9602 --- /dev/null +++ b/docs/_themes/sphinx_rtd_theme/layout.html @@ -0,0 +1,196 @@ +{# TEMPLATE VAR SETTINGS #} +{%- set url_root = pathto('', 1) %} +{%- if url_root == '#' %}{% set url_root = '' %}{% endif %} +{%- if not embedded and docstitle %} + {%- set titlesuffix = " — "|safe + docstitle|e %} +{%- else %} + {%- set titlesuffix = "" %} +{%- endif %} + + + + + + + {{ metatags }} + + {% block htmltitle %} + {{ title|striptags|e }}{{ titlesuffix }} + {% endblock %} + + {# FAVICON #} + {% if favicon %} + + {% endif %} + + {# CSS #} + + {# OPENSEARCH #} + {% if not embedded %} + {% if use_opensearch %} + + {% endif %} + + {% endif %} + + {# RTD hosts this file, so just load on non RTD builds #} + {% if not READTHEDOCS %} + + {% endif %} + + {% for cssfile in css_files %} + + {% endfor %} + + {% for cssfile in extra_css_files %} + + {% endfor %} + + {%- block linktags %} + {%- if hasdoc('about') %} + + {%- endif %} + {%- if hasdoc('genindex') %} + + {%- endif %} + {%- if hasdoc('search') %} + + {%- endif %} + {%- if hasdoc('copyright') %} + + {%- endif %} + + {%- if parents %} + + {%- endif %} + {%- if next %} + + {%- endif %} + {%- if prev %} + + {%- endif %} + {%- endblock %} + {%- block extrahead %} {% endblock %} + + {# Keep modernizr in head - http://modernizr.com/docs/#installing #} + + + + + + +
+ + {# SIDE NAV, TOGGLES ON MOBILE #} + + +
+ + {# MOBILE NAV, TRIGGLES SIDE NAV ON TOGGLE #} + + + + {# PAGE CONTENT #} +
+
+ {% include "breadcrumbs.html" %} +
+
+ {% block body %}{% endblock %} +
+
+ {% include "footer.html" %} +
+
+ +
+ +
+ {% include "versions.html" %} + + {% if not embedded %} + + + {%- for scriptfile in script_files %} + + {%- endfor %} + + {% endif %} + + {# RTD hosts this file, so just load on non RTD builds #} + {% if not READTHEDOCS %} + + {% endif %} + + {# STICKY NAVIGATION #} + {% if theme_sticky_navigation %} + + {% endif %} + + {%- block footer %} {% endblock %} + + + diff --git a/docs/_themes/sphinx_rtd_theme/layout_old.html b/docs/_themes/sphinx_rtd_theme/layout_old.html new file mode 100644 index 0000000000..deb8df2a1a --- /dev/null +++ b/docs/_themes/sphinx_rtd_theme/layout_old.html @@ -0,0 +1,205 @@ +{# + basic/layout.html + ~~~~~~~~~~~~~~~~~ + + Master layout template for Sphinx themes. + + :copyright: Copyright 2007-2013 by the Sphinx team, see AUTHORS. + :license: BSD, see LICENSE for details. +#} +{%- block doctype -%} + +{%- endblock %} +{%- set reldelim1 = reldelim1 is not defined and ' »' or reldelim1 %} +{%- set reldelim2 = reldelim2 is not defined and ' |' or reldelim2 %} +{%- set render_sidebar = (not embedded) and (not theme_nosidebar|tobool) and + (sidebars != []) %} +{%- set url_root = pathto('', 1) %} +{# XXX necessary? #} +{%- if url_root == '#' %}{% set url_root = '' %}{% endif %} +{%- if not embedded and docstitle %} + {%- set titlesuffix = " — "|safe + docstitle|e %} +{%- else %} + {%- set titlesuffix = "" %} +{%- endif %} + +{%- macro relbar() %} +
+

{{ _('Navigation') }}

+
    + {%- for rellink in rellinks %} +
  • + {{ rellink[3] }} + {%- if not loop.first %}{{ reldelim2 }}{% endif %}
    • + {%- endfor %} + {%- block rootrellink %} +
  • {{ shorttitle|e }}{{ reldelim1 }}
    • + {%- endblock %} + {%- for parent in parents %} +
  • {{ parent.title }}{{ reldelim1 }}
    • + {%- endfor %} + {%- block relbaritems %} {% endblock %} +
+
+{%- endmacro %} + +{%- macro sidebar() %} + {%- if render_sidebar %} +
+
+ {%- block sidebarlogo %} + {%- if logo %} + + {%- endif %} + {%- endblock %} + {%- if sidebars != None %} + {#- new style sidebar: explicitly include/exclude templates #} + {%- for sidebartemplate in sidebars %} + {%- include sidebartemplate %} + {%- endfor %} + {%- else %} + {#- old style sidebars: using blocks -- should be deprecated #} + {%- block sidebartoc %} + {%- include "localtoc.html" %} + {%- endblock %} + {%- block sidebarrel %} + {%- include "relations.html" %} + {%- endblock %} + {%- block sidebarsourcelink %} + {%- include "sourcelink.html" %} + {%- endblock %} + {%- if customsidebar %} + {%- include customsidebar %} + {%- endif %} + {%- block sidebarsearch %} + {%- include "searchbox.html" %} + {%- endblock %} + {%- endif %} +
+
+ {%- endif %} +{%- endmacro %} + +{%- macro script() %} + + {%- for scriptfile in script_files %} + + {%- endfor %} +{%- endmacro %} + +{%- macro css() %} + + + {%- for cssfile in css_files %} + + {%- endfor %} +{%- endmacro %} + + + + + {{ metatags }} + {%- block htmltitle %} + {{ title|striptags|e }}{{ titlesuffix }} + {%- endblock %} + {{ css() }} + {%- if not embedded %} + {{ script() }} + {%- if use_opensearch %} + + {%- endif %} + {%- if favicon %} + + {%- endif %} + {%- endif %} +{%- block linktags %} + {%- if hasdoc('about') %} + + {%- endif %} + {%- if hasdoc('genindex') %} + + {%- endif %} + {%- if hasdoc('search') %} + + {%- endif %} + {%- if hasdoc('copyright') %} + + {%- endif %} + + {%- if parents %} + + {%- endif %} + {%- if next %} + + {%- endif %} + {%- if prev %} + + {%- endif %} +{%- endblock %} +{%- block extrahead %} {% endblock %} + + +{%- block header %}{% endblock %} + +{%- block relbar1 %}{{ relbar() }}{% endblock %} + +{%- block content %} + {%- block sidebar1 %} {# possible location for sidebar #} {% endblock %} + +
+ {%- block document %} +
+ {%- if render_sidebar %} +
+ {%- endif %} +
+ {% block body %} {% endblock %} +
+ {%- if render_sidebar %} +
+ {%- endif %} +
+ {%- endblock %} + + {%- block sidebar2 %}{{ sidebar() }}{% endblock %} +
+
+{%- endblock %} + +{%- block relbar2 %}{{ relbar() }}{% endblock %} + +{%- block footer %} +
+ {%- if show_copyright %} + {%- if hasdoc('copyright') %} + {% trans path=pathto('copyright'), copyright=copyright|e %}© Copyright {{ copyright }}.{% endtrans %} + {%- else %} + {% trans copyright=copyright|e %}© Copyright {{ copyright }}.{% endtrans %} + {%- endif %} + {%- endif %} + {%- if last_updated %} + {% trans last_updated=last_updated|e %}Last updated on {{ last_updated }}.{% endtrans %} + {%- endif %} + {%- if show_sphinx %} + {% trans sphinx_version=sphinx_version|e %}Created using Sphinx {{ sphinx_version }}.{% endtrans %} + {%- endif %} +
+

asdf asdf asdf asdf 22

+{%- endblock %} + + + diff --git a/docs/_themes/sphinx_rtd_theme/search.html b/docs/_themes/sphinx_rtd_theme/search.html new file mode 100644 index 0000000000..e3aa9b5c6e --- /dev/null +++ b/docs/_themes/sphinx_rtd_theme/search.html @@ -0,0 +1,50 @@ +{# + basic/search.html + ~~~~~~~~~~~~~~~~~ + + Template for the search page. + + :copyright: Copyright 2007-2013 by the Sphinx team, see AUTHORS. + :license: BSD, see LICENSE for details. +#} +{%- extends "layout.html" %} +{% set title = _('Search') %} +{% set script_files = script_files + ['_static/searchtools.js'] %} +{% block footer %} + + {# this is used when loading the search index using $.ajax fails, + such as on Chrome for documents on localhost #} + + {{ super() }} +{% endblock %} +{% block body %} + + + {% if search_performed %} +

{{ _('Search Results') }}

+ {% if not search_results %} +

{{ _('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.') }}

+ {% endif %} + {% endif %} +
+ {% if search_results %} +
    + {% for href, caption, context in search_results %} +
  • + {{ caption }} +

    {{ context|e }}

    +
    • + {% endfor %} +
+ {% endif %} +
+{% endblock %} diff --git a/docs/_themes/sphinx_rtd_theme/searchbox.html b/docs/_themes/sphinx_rtd_theme/searchbox.html new file mode 100644 index 0000000000..35ad52c5f6 --- /dev/null +++ b/docs/_themes/sphinx_rtd_theme/searchbox.html @@ -0,0 +1,9 @@ +{%- if builder != 'singlehtml' %} +
+
+ + + +
+
+{%- endif %} diff --git a/docs/_themes/sphinx_rtd_theme/static/css/badge_only.css b/docs/_themes/sphinx_rtd_theme/static/css/badge_only.css new file mode 100644 index 0000000000..7e17fb148c --- /dev/null +++ b/docs/_themes/sphinx_rtd_theme/static/css/badge_only.css @@ -0,0 +1,2 @@ +.fa:before{-webkit-font-smoothing:antialiased}.clearfix{*zoom:1}.clearfix:before,.clearfix:after{display:table;content:""}.clearfix:after{clear:both}@font-face{font-family:FontAwesome;font-weight:normal;font-style:normal;src:url("../font/fontawesome_webfont.eot");src:url("../font/fontawesome_webfont.eot?#iefix") format("embedded-opentype"),url("../font/fontawesome_webfont.woff") format("woff"),url("../font/fontawesome_webfont.ttf") format("truetype"),url("../font/fontawesome_webfont.svg#FontAwesome") format("svg")}.fa:before{display:inline-block;font-family:FontAwesome;font-style:normal;font-weight:normal;line-height:1;text-decoration:inherit}a .fa{display:inline-block;text-decoration:inherit}li 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this.linkScroll = false; + }); + }; + + nav.toggleCurrent = function (elem) { + var parent_li = elem.closest('li'); + parent_li.siblings('li.current').removeClass('current'); + parent_li.siblings().find('li.current').removeClass('current'); + parent_li.find('> ul li.current').removeClass('current'); + parent_li.toggleClass('current'); + } + + return nav; +}; + +module.exports.ThemeNav = ThemeNav(); + +if (typeof(window) != 'undefined') { + window.SphinxRtdTheme = { StickyNav: module.exports.ThemeNav }; +} + +},{"jquery":"jquery"}]},{},["sphinx-rtd-theme"]); diff --git a/docs/_themes/sphinx_rtd_theme/theme.conf b/docs/_themes/sphinx_rtd_theme/theme.conf new file mode 100644 index 0000000000..3896d4d38f --- /dev/null +++ b/docs/_themes/sphinx_rtd_theme/theme.conf @@ -0,0 +1,11 @@ +[theme] +inherit = basic +stylesheet = css/theme.css + +[options] +typekit_id = hiw1hhg +analytics_id = +sticky_navigation = False +logo_only = +collapse_navigation = False +display_version = True diff --git a/docs/_themes/sphinx_rtd_theme/versions.html b/docs/_themes/sphinx_rtd_theme/versions.html new file mode 100644 index 0000000000..8b3eb79d25 --- /dev/null +++ b/docs/_themes/sphinx_rtd_theme/versions.html @@ -0,0 +1,37 @@ +{% if READTHEDOCS %} +{# Add rst-badge after rst-versions for small badge style. #} + +{% endif %} + diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index 5eb821802a..288583c8d7 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -129,7 +129,15 @@ def __getattr__(cls, name): # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. -html_theme = 'default' +# on_rtd is whether we are on readthedocs.org +on_rtd = os.environ.get('READTHEDOCS', None) == 'True' + +if not on_rtd: # only import and set the theme if we're building docs locally + import sphinx_rtd_theme + html_theme = 'sphinx_rtd_theme' + html_theme_path = ['_themes', ] +else: + html_theme = 'default' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the diff --git a/docs/tutorials/notebooks/forecast.ipynb b/docs/tutorials/notebooks/forecast.ipynb index b20bc675e9..1576ca4cdb 100644 --- a/docs/tutorials/notebooks/forecast.ipynb +++ b/docs/tutorials/notebooks/forecast.ipynb @@ -1,5 +1,47 @@ { "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Forecast Tutorial\n", + "\n", + "This tutorial will walk through forecast data from Unidata forecast model data using the forecast.py module within pvlib.\n", + "\n", + "Table of contents:\n", + "1. [Setup](#Setup)\n", + "2. [Load Forecast data](#Load-Forecast-data)\n", + "2. [Calculate modeling intermediates](#Calculate-modeling-intermediates)\n", + "2. [DC power using SAPM](#DC-power-using-SAPM)\n", + "2. [AC power using SAPM](#AC-power-using-SAPM)\n", + "\n", + "This tutorial has been tested against the following package versions:\n", + "* pvlib 0.2.0?\n", + "* Python 2.7.10?\n", + "* IPython 3.2?\n", + "* pandas 0.16.2?\n", + "* matplotlib 1.5.0?\n", + "* netcdf4 x.xx\n", + "* siphon x.xx\n", + "\n", + "It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0.\n", + "\n", + "Authors:\n", + "* Derek Groenendyk (@moonraker), University of Arizona, November 2015\n", + "* Will Holmgren (@wholmgren), University of Arizona, November 2015" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -33,7 +75,7 @@ "from siphon.catalog import TDSCatalog\n", "from siphon.ncss import NCSS\n", "\n", - "from pvlib import forecast" + "from pvlib.forecast import GFS,HRRR_ESRL,NAM,NDFD,HRRR,RAP" ] }, { @@ -45,8 +87,9 @@ "outputs": [], "source": [ "# Choose a location and time.\n", + "# Tucson, AZ\n", "latitude = 32.2\n", - "longitude = -110.9 # Tucson, AZ\n", + "longitude = -110.9 \n", "tz = 'US/Arizona'\n", "\n", "start = datetime.now() # today's date\n", @@ -55,36 +98,34 @@ ] }, { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, - "outputs": [], + "cell_type": "markdown", + "metadata": {}, "source": [ - "fm = forecast.GFS()" + "## Instanciate forecast model " ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(latitude, longitude , timerange)" + "# GFS model, defaults to 0.5 degree resolution\n", + "fm = GFS()" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "time_vals = data.index" + "# retrieve data\n", + "data = fm.get_query_data(latitude, longitude , timerange)" ] }, { @@ -131,22 +172,12 @@ "cloud_vars = ['total_clouds','low_clouds','mid_clouds','high_clouds']" ] }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "total_cloud_cover = data['total_clouds']" - ] - }, { "cell_type": "code", "execution_count": 27, "metadata": { - "collapsed": false + "collapsed": false, + "scrolled": false }, "outputs": [ { @@ -171,14 +202,25 @@ } ], "source": [ + "for varname in cloud_vars:\n", + " data[varname].plot()\n", "plt.ylabel('Cloud cover' + ' %')\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", "plt.title('GFS 0.5 deg')\n", - "for varname in cloud_vars:\n", - " data[varname].plot()\n", "plt.legend(bbox_to_anchor=(1.18,1.0))" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "total_cloud_cover = data['total_clouds']" + ] + }, { "cell_type": "code", "execution_count": 11, @@ -208,44 +250,41 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "ax.plot_date(time_vals, total_cloud_cover, 'r', linewidth=2, tz=tz)\n", - "ax.set_ylabel('Total cloud cover' + ' (%s)' % fm.var_units[var_name])\n", - "ax.set_xlabel('Forecast Time (UTC)')\n", - "ax.set_title('GFS 0.5 deg')" + "total_cloud_cover.plot('r', linewidth=2)\n", + "plt.ylabel('Total cloud cover' + ' (%s)' % fm.var_units[var_name])\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", + "plt.title('GFS 0.5 deg')" ] }, { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, - "outputs": [], + "cell_type": "markdown", + "metadata": {}, "source": [ - "fm = GFS(res='quarter')" + "## Instanciate forecast model " ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(latitude, longitude , timerange, a_point)" + "# GFS model at 0.25 degree resolution\n", + "fm = GFS(res='quarter')" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "time_vals = fm.time" + "# retrieve data\n", + "data = fm.get_query_data(latitude, longitude , timerange)" ] }, { @@ -277,47 +316,47 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", - " ax.plot_date(time_vals, data[varname], fmt='-', linewidth=2, label=varname, tz=tz)\n", - " \n", - "ax.set_ylabel('Cloud cover' + ' (%s)' % fm.var_units[var_name])\n", - "ax.set_xlabel('Forecast Time (UTC)')\n", - "\n", - "ax.set_title('GFS 0.25 deg')" + " data[varname].plot(fmt='-', linewidth=2)\n", + "plt.ylabel('Cloud cover' + ' %')\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", + "plt.title('GFS 0.25 deg')\n", + "plt.legend(bbox_to_anchor=(1.18,1.0))" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ - "fm = NAM()" + "## Instanciate forecast model " ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(latitude, longitude, timerange, a_point)" + "# initialize NAM forecast model\n", + "fm = NAM()" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "time_vals = fm.time" + "# retrieve data\n", + "data = fm.get_query_data(latitude, longitude, timerange)" ] }, { @@ -350,13 +389,12 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", - " ax.plot_date(time_vals, data[varname], fmt='-', linewidth=2, label=varname, tz=tz)\n", - "ax.set_ylabel('Cloud cover (%)')\n", - "ax.set_xlabel('Forecast Time (UTC)')\n", - "ax.legend(bbox_to_anchor=(1.4,1.1))\n", - "ax.set_title('NAM')" + " data[varname].plot(fmt='-', linewidth=2)\n", + "plt.ylabel('Cloud cover' + ' %')\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", + "plt.title('NAM')\n", + "plt.legend(bbox_to_anchor=(1.18,1.0))" ] }, { @@ -388,44 +426,44 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "ax.plot_date(time_vals, data['ghi'], linewidth=2, fmt='-', label='ghi', tz=tz)\n", - "ax.set_ylabel('GHI W/m**2')\n", - "ax.set_xlabel('Forecast Time (UTC)')\n", - "ax.legend()" + "data['ghi'].plot(linewidth=2, fmt='-')\n", + "plt.ylabel('GHI W/m**2')\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "fm = forecast.NDFD()" + "## Instanciate forecast model " ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ - "data = fm.get_query_data(latitude, longitude, timerange)" + "# intialize NDFD forecast model\n", + "fm = NDFD()" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "time_vals = fm.time" + "# retrieve data\n", + "data = fm.get_query_data(latitude, longitude, timerange)" ] }, { @@ -470,10 +508,10 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "ax.plot_date(time_vals, total_cloud_cover, 'r', linewidth=2, tz=tz)\n", - "ax.set_ylabel('Cloud cover (%)')\n", - "ax.set_xlabel('Forecast Time (UTC)')\n", + "total_cloud_cover.plot('r', linewidth=2)\n", + "plt.ylabel('Total cloud cover' + ' (%s)' % fm.var_units['total_clouds'])\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", + "plt.title('NDFD')\n", "plt.ylim(0,100)" ] }, @@ -506,17 +544,17 @@ } ], "source": [ - " fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - " ax.plot_date(time_vals, temp, 'r', linewidth=2, tz=tz)\n", - " ax.set_ylabel('temp {}'.format(fm.var_units['temperature']))\n", - " ax.set_xlabel('Forecast Time (UTC)')" + "temp.plot('r', linewidth=2)\n", + "plt.ylabel('Temperature' + ' (%s)' % fm.var_units['temperature'])\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')') " ] }, { "cell_type": "code", "execution_count": 9, "metadata": { - "collapsed": false + "collapsed": false, + "scrolled": false }, "outputs": [ { @@ -541,43 +579,44 @@ } ], "source": [ - " fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - " ax.plot_date(time_vals, wind, 'r', linewidth=2, tz=tz)\n", - " ax.set_ylabel('wind {}'.format(fm.var_units['wind_speed']))\n", - " ax.set_xlabel('Forecast Time (UTC)')" + "wind.plot('r', linewidth=2)\n", + "plt.ylabel('Wind Speed' + ' (%s)' % fm.var_units['wind speed'])\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')') " ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ - "fm = forecast.RAP()" + "## Instanciate forecast model " ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(latitude, longitude, timerange)" + "# initialize RAP forecast model\n", + "fm = RAP()" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "time_vals = fm.time" + "# retrieve data\n", + "data = fm.get_query_data(latitude, longitude, timerange)" ] }, { @@ -595,7 +634,8 @@ "cell_type": "code", "execution_count": 17, "metadata": { - "collapsed": false + "collapsed": false, + "scrolled": true }, "outputs": [ { @@ -620,63 +660,52 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", - " ax.plot_date(time_vals, data[varname][:].squeeze(), fmt='-', linewidth=2, label=varname, tz=tz)\n", - "ax.set_ylabel('Cloud cover (%)')\n", - "ax.set_xlabel('Forecast Time (UTC)')\n", - "ax.legend(bbox_to_anchor=(1.4,1.1))" + " data[varname].plot(fmt='-', linewidth=2)\n", + "plt.ylabel('Cloud cover' + ' %')\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", + "plt.title('RAP')\n", + "plt.legend(bbox_to_anchor=(1.18,1.0))" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:517: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", - " available.')\n", - "C:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\siphon\\catalog.py:61: UserWarning: URL http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml returned HTML. Changing to: http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml\n", - " new_url))\n", - "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:134: UserWarning: GSD HRRR CONUS 3km surface is unavailable.\n", - " warnings.warn(self.model_name + ' is unavailable.')\n" - ] - } - ], + "outputs": [], "source": [ - "fm = forecast.HRRR_ESRL()" + "## Instanciate forecast model " ] }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 35, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ - "data = fm.get_query_data(latitude, longitude, timerange, a_point)" + "# initialize HRRR forecast model\n", + "fm = HRRR()" ] }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 36, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "time_vals = fm.time" + "# retrieve data\n", + "data = fm.get_query_data(latitude, longitude, timerange)" ] }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 38, "metadata": { "collapsed": true }, @@ -687,7 +716,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 39, "metadata": { "collapsed": false, "scrolled": false @@ -696,47 +725,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 105, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" }, - { - "ename": "ValueError", - "evalue": "ordinal must be >= 1", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mC:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\IPython\\core\\formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 335\u001b[0m \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 336\u001b[0m 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\u001b[0mdivmod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m24\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mremainder\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mValueError\u001b[0m: ordinal must be >= 1" - ] - }, { "data": { + "image/png": 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SGxERERGRAJGTk8PGjRt5/fXXsdvt/PCHP2Tt2rWMGjWKrVu3cvjwYfr378/69esJCwtj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Gb/PgCsQ6W4Ea1LURRCBgwkft7jdP/dAiz9B+Cx2ynfsJ6s+Y9S9PZbuMrL2zwOd00NlV9/BUDU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\nvR5jTOypw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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -744,116 +744,113 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", "for varname in cloud_vars:\n", - " ax.plot_date(time_vals, data[varname], linewidth=2, label=varname, tz=tz)\n", - "ax.set_ylabel('Cloud cover (%)')\n", - "ax.set_xlabel('Forecast Time (UTC)')\n", - "ax.legend(bbox_to_anchor=(1.4,1.1))" + " data[varname].plot(fmt='-', linewidth=2)\n", + "plt.ylabel('Cloud cover' + ' %')\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", + "plt.title('HRRR')\n", + "plt.legend(bbox_to_anchor=(1.18,1.0))" ] }, { "cell_type": "code", - "execution_count": 106, + "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'ghi'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m6\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime_vals\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mghi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "ax.plot_date(time_vals, data['ghi'], linewidth=2, tz=tz)\n", - "ax.set_ylabel('GHI' + ' (%s)' % fm.var_units['ghi'])\n", - "ax.set_xlabel('Forecast Time (UTC)')" + "## Instanciate forecast model " ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 7, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:517: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", + " available.')\n", + "C:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\siphon\\catalog.py:61: UserWarning: URL http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml returned HTML. Changing to: http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml\n", + " new_url))\n", + "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:134: UserWarning: GSD HRRR CONUS 3km surface is unavailable.\n", + " warnings.warn(self.model_name + ' is unavailable.')\n" + ] + } + ], "source": [ - "fm = HRRR()" + "# intialize HRRR_ESRL forecast model\n", + "fm = HRRR_ESRL()" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 100, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "data = fm.get_query_data(latitude, longitude, timerange, a_point)" + "# retrieve data\n", + "data = fm.get_query_data(latitude, longitude, timerange)" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 102, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "time_vals = fm.time" + "cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds']" ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "metadata": { - "collapsed": true + "collapsed": false, + "scrolled": true }, "outputs": [], "source": [ - "cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds']" + "for varname in cloud_vars:\n", + " data[varname].plot(fmt='-', linewidth=2)\n", + "plt.ylabel('Cloud cover' + ' %')\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", + "plt.title('HRRR_ESRL')\n", + "plt.legend(bbox_to_anchor=(1.18,1.0))" ] }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 106, "metadata": { "collapsed": false }, "outputs": [ { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" + "ename": "KeyError", + "evalue": "'ghi'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m6\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime_vals\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mghi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_ylabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'GHI'\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;34m' (%s)'\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mfm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvar_units\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'ghi'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_xlabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Forecast Time (UTC)'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mKeyError\u001b[0m: 'ghi'" + ] }, { "data": { - "image/png": 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SGxERERGRAJGTk8PGjRt5/fXXsdvt/PCHP2Tt2rWMGjWKrVu3cvjwYfr378/69esJCwtj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Gb/PgCsQ6W4Ea1LURRCBgwkft7jdP/dAiz9B+Cx2ynfsJ6s+Y9S9PZbuMrL2zwOd00NlV9/BUDU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\nvR5jTOypw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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -861,12 +858,9 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n", - "for varname in cloud_vars:\n", - " ax.plot_date(time_vals, data[varname][:].squeeze(), fmt='-', linewidth=2, label=varname, tz=tz)\n", - "ax.set_ylabel('Cloud cover (%)')\n", - "ax.set_xlabel('Forecast Time (UTC)')\n", - "ax.legend(bbox_to_anchor=(1.4,1.1))" + "data['ghi'].plot(linewidth=2, fmt='-')\n", + "plt.ylabel('GHI W/m**2')\n", + "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')" ] }, { diff --git a/docs/tutorials/notebooks/forecast_to_power.ipynb b/docs/tutorials/notebooks/forecast_to_power.ipynb index 684be099b9..6f609335a7 100644 --- a/docs/tutorials/notebooks/forecast_to_power.ipynb +++ b/docs/tutorials/notebooks/forecast_to_power.ipynb @@ -16,10 +16,14 @@ "2. [AC power using SAPM](#AC-power-using-SAPM)\n", "\n", "This tutorial has been tested against the following package versions:\n", - "* pvlib 0.2.0\n", - "* Python 2.7.10\n", - "* IPython 3.2\n", - "* pandas 0.16.2\n", + "* pvlib 0.2.0?\n", + "* Python 2.7.10?\n", + "* IPython 3.2?\n", + "* pandas 0.16.2?\n", + "* matplotlib 1.5.0?\n", + "* netcdf4 x.xx\n", + "* siphon x.xx\n", + "\n", "\n", "It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0.\n", "\n", @@ -48,7 +52,16 @@ "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\matplotlib\\__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n", + " warnings.warn(self.msg_depr % (key, alt_key))\n" + ] + } + ], "source": [ "# built-in python modules\n", "from datetime import datetime,timedelta\n", @@ -73,7 +86,7 @@ " print('We suggest you install seaborn using conda or pip and rerun this cell')\n", "\n", "# finally, we import the pvlib library\n", - "import pvlib" + "from pvlib.forecast import GFS,NAM,NDFD,RAP,HRRR" ] }, { @@ -124,16 +137,12 @@ "source": [ "surface_tilt = 30\n", "surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention\n", - "albedo = 0.2\n", - "\n", - "# create pvlib Location object based on meta data\n", - "#a_point = pvlib.location.Location(latitude, longitude, name='Tucson', tz=tz)\n", - "#print(a_point)" + "albedo = 0.2" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "collapsed": false }, @@ -146,19 +155,23 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ "# Define forecast model\n", - "fm = pvlib.forecast.GFS()" + "fm = GFS()\n", + "#fm = NAM()\n", + "#fm = NDFD()\n", + "#fm = RAP()\n", + "#fm = HRRR()" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "metadata": { "collapsed": false }, @@ -168,17 +181,6 @@ "forecast_data = fm.get_query_data(latitude, longitude, timerange)" ] }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "solpos = pvlib.solarposition.get_solarposition(fm.time, fm.location)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -188,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": { "collapsed": false }, @@ -203,7 +205,6 @@ " \n", " temperature\n", " wind_speed\n", - " pressure\n", " total_clouds\n", " low_clouds\n", " mid_clouds\n", @@ -215,98 +216,93 @@ " \n", " \n", " \n", - " 2015-12-12 17:00:00-07:00\n", - " 8.550018\n", - " 7.968400\n", - " NaN\n", - " 79\n", - " 78\n", - " 13\n", + " 2015-12-19 17:00:00-07:00\n", + " 15.050018\n", + " 4.284356\n", + " 99\n", " 0\n", - " 2.409658e-10\n", - " 19.985745\n", - " 310\n", + " 79\n", + " 99\n", + " 3.337597e-28\n", + " 23.077653\n", + " 23.077653\n", " \n", " \n", - " 2015-12-12 20:00:00-07:00\n", - " 5.550018\n", - " 4.374712\n", - " NaN\n", - " 21\n", - " 23\n", + " 2015-12-19 20:00:00-07:00\n", + " 9.850006\n", + " 3.676860\n", + " 60\n", " 0\n", " 0\n", - " NaN\n", - " NaN\n", - " 0\n", + " 60\n", + " 0.000000e+00\n", + " 0.000000\n", + " 0.000000\n", " \n", " \n", - " 2015-12-12 23:00:00-07:00\n", - " 4.350006\n", - " 4.158702\n", - " NaN\n", - " 11\n", - " 12\n", - " 0\n", + " 2015-12-19 23:00:00-07:00\n", + " 8.550018\n", + " 4.498577\n", + " 36\n", " 0\n", - " NaN\n", - " NaN\n", " 0\n", + " 36\n", + " 0.000000e+00\n", + " 0.000000\n", + " 0.000000\n", " \n", " \n", - " 2015-12-13 02:00:00-07:00\n", - " 3.350006\n", - " 4.352023\n", - " NaN\n", - " 0\n", - " 0\n", - " 0\n", + " 2015-12-20 02:00:00-07:00\n", + " 7.050018\n", + " 3.663687\n", + " 72\n", " 0\n", - " NaN\n", - " NaN\n", " 0\n", + " 72\n", + " 0.000000e+00\n", + " 0.000000\n", + " 0.000000\n", " \n", " \n", - " 2015-12-13 05:00:00-07:00\n", - " 2.450012\n", - " 4.201928\n", - " NaN\n", + " 2015-12-20 05:00:00-07:00\n", + " 5.649994\n", + " 3.681549\n", + " 68\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " NaN\n", - " NaN\n", - " 0\n", + " 68\n", + " 0.000000e+00\n", + " 0.000000\n", + " 0.000000\n", " \n", " \n", "\n", "" ], "text/plain": [ - " temperature wind_speed pressure total_clouds \\\n", - "2015-12-12 17:00:00-07:00 8.550018 7.968400 NaN 79 \n", - "2015-12-12 20:00:00-07:00 5.550018 4.374712 NaN 21 \n", - "2015-12-12 23:00:00-07:00 4.350006 4.158702 NaN 11 \n", - "2015-12-13 02:00:00-07:00 3.350006 4.352023 NaN 0 \n", - "2015-12-13 05:00:00-07:00 2.450012 4.201928 NaN 0 \n", + " temperature wind_speed total_clouds low_clouds \\\n", + "2015-12-19 17:00:00-07:00 15.050018 4.284356 99 0 \n", + "2015-12-19 20:00:00-07:00 9.850006 3.676860 60 0 \n", + "2015-12-19 23:00:00-07:00 8.550018 4.498577 36 0 \n", + "2015-12-20 02:00:00-07:00 7.050018 3.663687 72 0 \n", + "2015-12-20 05:00:00-07:00 5.649994 3.681549 68 0 \n", "\n", - " low_clouds mid_clouds high_clouds dni \\\n", - "2015-12-12 17:00:00-07:00 78 13 0 2.409658e-10 \n", - "2015-12-12 20:00:00-07:00 23 0 0 NaN \n", - "2015-12-12 23:00:00-07:00 12 0 0 NaN \n", - "2015-12-13 02:00:00-07:00 0 0 0 NaN \n", - "2015-12-13 05:00:00-07:00 0 0 0 NaN \n", + " mid_clouds high_clouds dni dhi \\\n", + "2015-12-19 17:00:00-07:00 79 99 3.337597e-28 23.077653 \n", + "2015-12-19 20:00:00-07:00 0 60 0.000000e+00 0.000000 \n", + "2015-12-19 23:00:00-07:00 0 36 0.000000e+00 0.000000 \n", + "2015-12-20 02:00:00-07:00 0 72 0.000000e+00 0.000000 \n", + "2015-12-20 05:00:00-07:00 0 68 0.000000e+00 0.000000 \n", "\n", - " dhi ghi \n", - "2015-12-12 17:00:00-07:00 19.985745 310 \n", - "2015-12-12 20:00:00-07:00 NaN 0 \n", - "2015-12-12 23:00:00-07:00 NaN 0 \n", - "2015-12-13 02:00:00-07:00 NaN 0 \n", - "2015-12-13 05:00:00-07:00 NaN 0 " + " ghi \n", + "2015-12-19 17:00:00-07:00 23.077653 \n", + "2015-12-19 20:00:00-07:00 0.000000 \n", + "2015-12-19 23:00:00-07:00 0.000000 \n", + "2015-12-20 02:00:00-07:00 0.000000 \n", + "2015-12-20 05:00:00-07:00 0.000000 " ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -324,26 +320,41 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [ { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" + "ename": "TypeError", + "evalue": "There is no Line2D property \"use\"", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mforecast_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'temperature'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0muse\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'1.4.3'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\pandas\\tools\\plotting.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[0;32m 3495\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3496\u001b[0m \u001b[0mxerr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3497\u001b[1;33m **kwds)\n\u001b[0m\u001b[0;32m 3498\u001b[0m \u001b[0m__call__\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplot_series\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3499\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\pandas\\tools\\plotting.py\u001b[0m in \u001b[0;36mplot_series\u001b[1;34m(data, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[0;32m 2585\u001b[0m \u001b[0myerr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2586\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m,\u001b[0m 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\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_compute_plot_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 986\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_setup_subplots\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 987\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_make_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 988\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_add_table\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 989\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_make_legend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\pandas\\tools\\plotting.py\u001b[0m in \u001b[0;36m_make_plot\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1662\u001b[0m \u001b[0mstacking_id\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mstacking_id\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1663\u001b[0m \u001b[0mis_errorbar\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mis_errorbar\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1664\u001b[1;33m **kwds)\n\u001b[0m\u001b[0;32m 1665\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_add_legend_handle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnewlines\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1666\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\pandas\\tools\\plotting.py\u001b[0m in \u001b[0;36m_plot\u001b[1;34m(cls, ax, x, y, style, column_num, stacking_id, **kwds)\u001b[0m\n\u001b[0;32m 1676\u001b[0m \u001b[0mcls\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_initialize_stacker\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstacking_id\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1677\u001b[0m \u001b[0my_values\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_stacked_values\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstacking_id\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m 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"\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\matplotlib\\axes\\_base.py\u001b[0m in \u001b[0;36mset_lineprops\u001b[1;34m(self, line, **kwargs)\u001b[0m\n\u001b[0;32m 187\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mset_lineprops\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mline\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 188\u001b[0m \u001b[1;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcommand\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'plot'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'set_lineprops only works with \"plot\"'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 189\u001b[1;33m \u001b[0mline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 190\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 191\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mset_patchprops\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfill_poly\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\matplotlib\\artist.py\u001b[0m in \u001b[0;36mset\u001b[1;34m(self, **kwargs)\u001b[0m\n\u001b[0;32m 934\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mfunc\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 935\u001b[0m raise TypeError('There is no %s property \"%s\"' %\n\u001b[1;32m--> 936\u001b[1;33m (self.__class__.__name__, k))\n\u001b[0m\u001b[0;32m 937\u001b[0m \u001b[0mret\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mv\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 938\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mret\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mTypeError\u001b[0m: There is no Line2D property \"use\"" + ] }, { "data": { - "image/png": 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zdCuGEEJMQRq3trh+WBLyOSCIImIclU3Ug8vyYBjckIWvRavfCRHAfJLOyVpJmfU2CojN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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -351,7 +362,7 @@ } ], "source": [ - "forecast_data['temperature'].plot()" + "forecast_data['temperature'].plot(use='1.4.3')" ] }, { @@ -363,7 +374,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 15, "metadata": { "collapsed": false }, @@ -371,18 +382,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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kJDK4oLZmrh412igF4AEwO0gZo1FKo88jYGHqCFlny4p2YbLDMWhcs7vN7NBp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\nHiQHSpqZn8cArz6SU6lsLC1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sMynG5k11yWsapLSC1YMxy3+3rjvp05/+NADgne98J77z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\nUAITGQ82M5MqcqANpaz2XCov3csmgK4bjE6laGsM4rJBUTDI2VrOTt0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hsMXfgf1RGoiB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\n", 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ejeuQhpI54IrEXPwWheyOMrigPE5YdxS2KCQi8Y5PRhtX7xMWhP/whz/Egw8+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\nFagO5yOJjK5PYDvKoMfP6389Q0aaQ8vigDE1s60rMd9HBn957zQeb4B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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -406,13 +417,15 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Before we can calculate power for all times in the TMY file, we will need to calculate:\n", + "Before we can calculate power for all the forecast times, we will need to calculate:\n", "* solar position \n", "* extra terrestrial radiation\n", "* airmass\n", "* angle of incidence\n", "* POA sky and ground diffuse radiation\n", - "* cell and module temperatures" + "* cell and module temperatures\n", + "\n", + "The approach here follows that of the pvlib tmy_to_power notebook. You will find more details regarding this approach and the values being calculated in that notebook." ] }, { @@ -426,11 +439,24 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Calculate the solar position for all times in the TMY file. \n", + "Calculate the solar position for all times in the forecast data. \n", "\n", "The default solar position algorithm is based on Reda and Andreas (2004). Our implementation is pretty fast, but you can make it even faster if you install [``numba``](http://numba.pydata.org/#installing) and use add ``method='nrel_numba'`` to the function call below." ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# retrieve time and location parameters\n", + "time = forecast_data.index\n", + "a_point = fm.location" + ] + }, { "cell_type": "code", "execution_count": 13, @@ -460,8 +486,8 @@ } ], "source": [ - "solpos = pvlib.solarposition.get_solarposition(fm.time, a_point)\n", - "solpos.plot()" + "solpos = pvlib.solarposition.get_solarposition(time, a_point)\n", + "#solpos.plot()" ] }, { @@ -512,8 +538,8 @@ "dni_extra = pvlib.irradiance.extraradiation(fm.time)\n", "dni_extra = pd.Series(dni_extra, index=fm.time)\n", "\n", - "dni_extra.plot()\n", - "plt.ylabel('Extra terrestrial radiation ($W/m^{-2}$)')" + "#dni_extra.plot()\n", + "#plt.ylabel('Extra terrestrial radiation ($W/m^{-2}$)')" ] }, { @@ -556,8 +582,8 @@ "source": [ "airmass = pvlib.atmosphere.relativeairmass(solpos['apparent_zenith'])\n", "\n", - "airmass.plot()\n", - "plt.ylabel('Airmass')" + "#airmass.plot()\n", + "#plt.ylabel('Airmass')" ] }, { @@ -613,8 +639,8 @@ "poa_sky_diffuse = pvlib.irradiance.haydavies(surface_tilt, surface_azimuth,\n", " forecast_data['dhi'], forecast_data['dni'], dni_extra,\n", " solpos['apparent_zenith'], solpos['azimuth'])\n", - "poa_sky_diffuse.plot()\n", - "plt.ylabel('Irradiance ($W/m^{-2}$)')" + "#poa_sky_diffuse.plot()\n", + "#plt.ylabel('Irradiance ($W/m^{-2}$)')" ] }, { @@ -657,8 +683,8 @@ "source": [ "poa_ground_diffuse = pvlib.irradiance.grounddiffuse(surface_tilt, ghi, albedo=albedo)\n", "\n", - "poa_ground_diffuse.plot()\n", - "plt.ylabel('Irradiance ($W/m^{-2}$)')" + "#poa_ground_diffuse.plot()\n", + "#plt.ylabel('Irradiance ($W/m^{-2}$)')" ] }, { @@ -701,8 +727,8 @@ "source": [ "aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth, solpos['apparent_zenith'], solpos['azimuth'])\n", "\n", - "aoi.plot()\n", - "plt.ylabel('Angle of incidence (deg)')" + "#aoi.plot()\n", + "#plt.ylabel('Angle of incidence (deg)')" ] }, { @@ -957,7 +983,7 @@ "source": [ "sapm_out = pvlib.pvsystem.sapm(sandia_module, poa_irrad.poa_direct, poa_irrad.poa_diffuse,\n", " pvtemps['temp_cell'], airmass, aoi)\n", - "print(sapm_out.head())\n", + "#print(sapm_out.head())\n", "\n", "sapm_out[['p_mp']].plot()\n", "plt.ylabel('DC Power (W)')" @@ -1179,9 +1205,9 @@ } ], "source": [ - "diff = p_acs['sapm'] - p_acs['sd']\n", - "diff.plot()\n", - "plt.ylabel('SAPM - SD Power (W)')" + "#diff = p_acs['sapm'] - p_acs['sd']\n", + "#diff.plot()\n", + "#plt.ylabel('SAPM - SD Power (W)')" ] }, { @@ -1338,15 +1364,6 @@ "source": [ "p_acs.sum()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/pvlib/atmosphere.py b/pvlib/atmosphere.py index b0e49f6be0..ed35bf3b08 100644 --- a/pvlib/atmosphere.py +++ b/pvlib/atmosphere.py @@ -248,7 +248,7 @@ def relativeairmass(zenith, model='kastenyoung1989'): return AM -def transmittance(zenith, cloud_prct): +def transmittance(cloud_prct): ''' Calculates transmittance. diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 0686dbb8da..b9c2a352db 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -25,16 +25,6 @@ class ForecastModel(object): Parameters ---------- - access_url: string - URL specifying the dataset from data will be retrieved. - base_tds_url : string - The top level server address - catalog_url : string - The url path of the catalog to parse. - columns: list - List of headers used to create the data DataFrame. - data_format: string - Format of the forecast data being requested from UNIDATA. model_type: string UNIDATA category in which the model is located. model_name: string @@ -44,8 +34,18 @@ class ForecastModel(object): Attributes ---------- + access_url: string + URL specifying the dataset from data will be retrieved. + base_tds_url : string + The top level server address + catalog_url : string + The url path of the catalog to parse. + columns: list + List of headers used to create the data DataFrame. data: pd.DataFrame Data returned from the query. + data_format: string + Format of the forecast data being requested from UNIDATA. dataset: Dataset Object containing information used to access forecast data. dataframe_variables: list @@ -108,7 +108,6 @@ class ForecastModel(object): vert_level = 100000 columns = np.array(['temperature', 'wind_speed', - 'pressure', 'total_clouds', 'low_clouds', 'mid_clouds', @@ -118,8 +117,8 @@ class ForecastModel(object): 'ghi', ]) def __init__(self, model_type, model_name, set_type): - self.model_name = model_name self.model_type = model_type + self.model_name = model_name self.set_type = set_type self.catalog = TDSCatalog(self.catalog_url) self.fm_models = TDSCatalog(self.catalog.catalog_refs[model_type].href) @@ -127,12 +126,12 @@ def __init__(self, model_type, model_name, set_type): try: model_url = self.fm_models.catalog_refs[model_name].href - self.model = TDSCatalog(model_url) - self.datasets_list = list(self.model.datasets.keys()) - self.set_dataset() except ParseError: - import warnings - warnings.warn(self.model_name + ' model is unavailable.') + raise ParseError(self.model_name + ' model may be unavailable.') + + self.model = TDSCatalog(model_url) + self.datasets_list = list(self.model.datasets.keys()) + self.set_dataset() def set_dataset(self): @@ -208,16 +207,16 @@ def get_query_data(self, latitude, longitude, time, vert_level=None, Parameters ---------- - - variables: dictionary - Variables and common names being queried. - latlon: list - Latitude and longitude of query location. - location: + latitude: list + A list of floats containing latitude values. + longitude: list + A list of floats containing longitude values. time: pd.datetimeindex Time range of interest. vert_level: float or integer Vertical altitude of interest. + variables: dictionary + Variables and common names being queried. Returns ------- @@ -247,11 +246,19 @@ def get_query_data(self, latitude, longitude, time, vert_level=None, self.query.accept(self.data_format) netcdf_data = self.ncss.get_data(self.query) - self.set_time(netcdf_data.variables['time']) + try: + time_var = 'time' + self.set_time(netcdf_data.variables[time_var]) + except KeyError: + time_var = 'time1' + self.set_time(netcdf_data.variables[time_var]) + self.data = self.netcdf2pandas(netcdf_data) self.set_variable_units(netcdf_data) self.set_variable_stdnames(netcdf_data) + if self.__class__.__name__ is 'HRRR': + self.calc_temperature(netcdf_data) self.convert_temperature() self.calc_wind(netcdf_data) self.calc_radiation(netcdf_data) @@ -344,33 +351,34 @@ def calc_radiation(self, data, cloud_type='total_clouds'): Parameters ---------- - args: list - Arguments to be along to the radiation functions. - cloud_type: string - Type of cloud cover to use for calculating radiation values. data: netcdf Query data formatted in netcdf format. - rad: list - List of radiation types to calculate. - rad_funcs: list - List of radiation functions used to calculate radiation. + cloud_type: string + Type of cloud cover to use for calculating radiation values. ''' self.rad_type = {} - if not self.lbox and cloud_type in self.data: + if not self.lbox and cloud_type in self.modelvariables: cloud_prct = self.data[cloud_type] solpos = get_solarposition(self.time, self.location) self.zenith = np.array(solpos.zenith.tz_convert('UTC')) for rad in ['dni','dhi','ghi']: - if rad in self.modelvariables: - self.data[rad] = pd.Series( - data[self.variables[rad]][:].squeeze(), - index=self.time) - self.rad_type[rad] = 'forecast' + if self.model_name is 'HRRR_ESRL': + # HRRR_ESRL is the only model with the + # correct equation of time. + if rad in self.modelvariables: + self.data[rad] = pd.Series( + data[self.variables[rad]][:].squeeze(), + index=self.time) + self.rad_type[rad] = 'forecast' + self.data[rad].fillna(0, inplace=True) else: - self.rad_type[rad] = 'liujordan' - self.data[rad] = liujordan(self.zenith, cloud_prct)[rad] + for rad in ['dni','dhi','ghi']: + self.rad_type[rad] = 'liujordan' + self.data[rad] = liujordan(self.zenith, cloud_prct)[rad] + self.data[rad].fillna(0, inplace=True) for var in ['dni', 'dhi', 'ghi']: + self.data[var].fillna(0, inplace=True) self.var_units[var] = '$W m^{-2}$' def convert_temperature(self): @@ -378,14 +386,31 @@ def convert_temperature(self): Converts Kelvin to celsius. ''' - for atemp in ['temperature']: - if atemp in self.data.columns: - self.data[atemp] -= 273.15 - self.var_units[atemp] = 'C' + self.data['temperature'] -= 273.15 + self.var_units['temperature'] = 'C' + + def calc_temperature(self, data): + ''' + Calculates temperature (in degrees C) from isobaric temperature. + + Parameters + ---------- + data: netcdf + Query data in netcdf format. + ''' + P = data['Pressure_surface'][:].squeeze() / 100.0 + Tiso = data['Temperature_isobaric'][:].squeeze() + Td = data['Dewpoint_temperature_isobaric'][:].squeeze() - 273.15 + e = 6.11 * 10**((7.5 * Td) / (Td + 273.3)) + w = 0.622 * (e / (P - e)) + + T = Tiso - ((2.501 * 10.**6) / 1005.7) * w + + self.data['temperature'] = T def calc_wind(self, data): ''' - Calculates wind speed quantity. + Computes wind speed. Parameters ---------- @@ -400,7 +425,7 @@ def calc_wind(self, data): data['v-component_of_wind_isobaric'][:].squeeze()**2) self.wind_type = 'component' elif 'Wind_speed_gust_surface' in self.queryvariables: - wind_data = 0.25 * data['Wind_speed_gust_surface'][:].squeeze() + wind_data = data['Wind_speed_gust_surface'][:].squeeze() self.wind_type = 'gust' if 'wind_speed' in self.data: @@ -414,17 +439,17 @@ class GFS(ForecastModel): Model data corresponds to 0.25 degree resolution forecasts. + Parameters + ---------- + res: string + Resolution of the model. + set_type: string + Type of model to pull data from. + Attributes ---------- - cols: list - Common names for variables. dataframe_variables: list Common variables present in the final set of data. - variables: dictionary - Dictionary where common variables reference the model - specific variable name. - idx: list - Indices of the variables corresponding to their common name. model: string Name of the UNIDATA forecast model. model_type: string @@ -433,8 +458,6 @@ class GFS(ForecastModel): Common variable names. queryvariables: list Names of default variables specific to the model. - res: string - Resolution of the model. variables: dictionary Dictionary of common variables that reference the model specific variables. @@ -487,17 +510,15 @@ class HRRR_ESRL(ForecastModel): Model data corresponds to NOAA/GSD/ESRL HRRR CONUS 3km resolution surface forecasts. + Parameters + ---------- + set_type: string + Type of model to pull data from. + Attributes ---------- - cols: list - Common names for variables. dataframe_variables: list Common variables present in the final set of data. - variables: dictionary - Dictionary where common variables reference the model - specific variable name. - idx: list - Indices of the variables corresponding to their common name. model: string Name of the UNIDATA forecast model. model_type: string @@ -513,11 +534,10 @@ class HRRR_ESRL(ForecastModel): def __init__(self, set_type='best'): import warnings - warnings.warn('HRRR_ESRL is an experimental model and is not always \ - available.') + warnings.warn('HRRR_ESRL is an experimental model and is not always ' + + 'available.') model_type = 'Forecast Model Data' model = 'GSD HRRR CONUS 3km surface' - description = '' self.variables = { 'temperature':'Temperature_surface', 'wind_speed_gust':'Wind_speed_gust_surface', @@ -547,17 +567,15 @@ class NAM(ForecastModel): Model data corresponds to NAM CONUS 12km resolution forecasts from CONDUIT. + Parameters + ---------- + set_type: string + Type of model to pull data from. + Attributes ---------- - cols: list - Common names for variables. dataframe_variables: list Common variables present in the final set of data. - variables: dictionary - Dictionary where common variables reference the model - specific variable name. - idx: list - Indices of the variables corresponding to their common name. model: string Name of the UNIDATA forecast model. model_type: string @@ -574,7 +592,6 @@ class NAM(ForecastModel): def __init__(self,set_type='best'): model_type = 'Forecast Model Data' model = 'NAM CONUS 12km from CONDUIT' - description = '' self.variables = { 'temperature':'Temperature_surface', 'wind_speed_gust':'Wind_speed_gust_surface', @@ -603,17 +620,15 @@ class HRRR(ForecastModel): Model data corresponds to NCEP HRRR CONUS 2.5km resolution forecasts. + Parameters + ---------- + set_type: string + Type of model to pull data from. + Attributes ---------- - cols: list - Common names for variables. dataframe_variables: list Common variables present in the final set of data. - variables: dictionary - Dictionary where common variables reference the model - specific variable name. - idx: list - Indices of the variables corresponding to their common name. model: string Name of the UNIDATA forecast model. model_type: string @@ -630,23 +645,24 @@ class HRRR(ForecastModel): def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'NCEP HRRR CONUS 2.5km' - description = '' self.variables = { - 'temperature':'Temperature_height_above_ground', + 'temperature_iso':'Dewpoint_temperature_isobaric', + 'temperature_dew_iso':'Temperature_isobaric', + 'pressure':'Pressure_surface', 'wind_speed_gust':'Wind_speed_gust_surface', 'total_clouds':'Total_cloud_cover_entire_atmosphere', 'low_clouds':'Low_cloud_cover_low_cloud', 'mid_clouds':'Medium_cloud_cover_middle_cloud', - 'high_clouds':'High_cloud_cover_high_cloud', } + 'high_clouds':'High_cloud_cover_high_cloud', + 'condensation_height':'Geopotential_height_adiabatic_condensation_lifted'} self.modelvariables = self.variables.keys() self.queryvariables = [self.variables[key] for key in \ self.modelvariables] self.dataframe_variables = [ - 'temperature', 'total_clouds', 'low_clouds', 'mid_clouds', - 'high_clouds', ] + 'high_clouds', ] super(HRRR, self).__init__(model_type, model, set_type) @@ -656,17 +672,15 @@ class NDFD(ForecastModel): Model data corresponds to NWS CONUS CONDUIT forecasts. + Parameters + ---------- + set_type: string + Type of model to pull data from. + Attributes ---------- - cols: list - Common names for variables. dataframe_variables: list Common variables present in the final set of data. - variables: dictionary - Dictionary where common variables reference the model - specific variable name. - idx: list - Indices of the variables corresponding to their common name. model: string Name of the UNIDATA forecast model. model_type: string @@ -683,7 +697,6 @@ class NDFD(ForecastModel): def __init__(self, set_type='best'): model_type = 'Forecast Products and Analyses' model = 'National Weather Service CONUS Forecast Grids (CONDUIT)' - description = '' self.variables = { 'temperature':'Temperature_surface', 'wind_speed':'Wind_speed_surface', @@ -705,17 +718,15 @@ class RAP(ForecastModel): Model data corresponds to Rapid Refresh CONUS 20km resolution forecasts. + Parameters + ---------- + set_type: string + Type of model to pull data from. + Attributes ---------- - cols: list - Common names for variables. dataframe_variables: list Common variables present in the final set of data. - variables: dictionary - Dictionary where common variables reference the model - specific variable name. - idx: list - Indices of the variables corresponding to their common name. model: string Name of the UNIDATA forecast model. model_type: string @@ -732,7 +743,6 @@ class RAP(ForecastModel): def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'Rapid Refresh CONUS 20km' - description = '' self.variables = { 'temperature':'Temperature_surface', 'wind_speed_gust':'Wind_speed_gust_surface', diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index 7eaa122116..07111426ee 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -1942,7 +1942,7 @@ def liujordan(zenith, cloud_prct, pressure=101325.): ''' dni_extra = 1367.0 # W m^-2 - tao = atmosphere.transmittance(zenith, cloud_prct) + tao = atmosphere.transmittance(cloud_prct) airmass_relative = atmosphere.relativeairmass(zenith) airmass = atmosphere.absoluteairmass(airmass_relative, pressure=pressure) diff --git a/pvlib/test/test_atmosphere.py b/pvlib/test/test_atmosphere.py index f211361242..3a14bd0713 100644 --- a/pvlib/test/test_atmosphere.py +++ b/pvlib/test/test_atmosphere.py @@ -59,3 +59,7 @@ def test_absoluteairmass_numeric(): def test_absoluteairmass_nan(): np.testing.assert_equal(np.nan, atmosphere.absoluteairmass(np.nan)) + +def test_transmittance(): + assert atmosphere.transmittance(0) == 0.75 + assert atmosphere.transmittance(100) == 0.0 \ No newline at end of file diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index b4cf4b6c75..b3b84b8630 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -6,11 +6,12 @@ import pandas as pd import requests -from nose.tools import raises, assert_almost_equals +from nose.tools import raises,assert_almost_equals from nose.plugins.skip import SkipTest from numpy.testing import assert_almost_equal +from xml.etree.ElementTree import ParseError -import pvlib.forecast as forecast +from pvlib.forecast import GFS,HRRR_ESRL,HRRR,NAM,NDFD,RAP import pvlib.solarposition as solarposition from pvlib.location import Location @@ -19,60 +20,67 @@ _longitude = -110.9 _tz = 'US/Arizona' _time = pd.DatetimeIndex([datetime.now()], tz=_tz) -_model_list = ['GFS', 'HRRR_ESRL', 'NAM', 'HRRR', 'NDFD', 'RAP'] -_models = {} +_models = [GFS, HRRR_ESRL, NAM, HRRR, NDFD, RAP] +_working_models = [] _variables = np.array(['temperature', - 'wind_speed', - 'pressure', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', - 'dni', - 'dhi', - 'ghi',]) + 'wind_speed', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'dni', + 'dhi', + 'ghi',]) +_nonnan_variables = np.array(['temperature', + 'wind_speed', + 'total_clouds', + 'dni', + 'dhi', + 'ghi',]) def test_fmcreation(): - members = inspect.getmembers(forecast,inspect.isclass) - [members.remove(cls) for cls in members if cls[0] in ['ForecastModel', - 'NCSS', 'TDSCatalog']] - - for model in members: - if model[0] in _model_list: - amodel = model[1]() - if model[0] != _model_list[1]: - _models[model[0]] = amodel + for model in _models: + if model.__name__ is not 'HRRR_ESRL': + amodel = model() + _working_models.append(amodel) + else: + try: + amodel = model() + except ParseError: + pass def test_data_query(): - exclude_models = [] - for name, model in _models.items(): - data = model.get_query_data(_latitude, _longitude, _time) + for amodel in _working_models: + data = amodel.get_query_data(_latitude, _longitude, _time) -def test_dataframe(): - for name, model in _models.items(): +def test_dataframe_variables(): + for amodel in _working_models: for variable in _variables: - assert variable in model.data.columns + assert variable in amodel.data.columns + for variable in _nonnan_variables: + assert not amodel.data[variable].isnull().values.any() def test_vert_level(): - amodel = _models['GFS'] + amodel = _working_models[0] vert_level = 5000 - data = amodel.get_query_data(_latitude, _longitude, _time, vert_level=vert_level) + data = amodel.get_query_data(_latitude, _longitude, _time, + vert_level=vert_level) def test_timerange(): - amodel = _models['GFS'] + amodel = _working_models[0] start = datetime.now() # today's date end = start + timedelta(days=7) # 7 days from today timerange = pd.date_range(start, end, tz=_tz) data = amodel.get_query_data(_latitude, _longitude , timerange) -def test_variables(): - amodel = _models['GFS'] +def test_queryvariables(): + amodel = _working_models[0] old_variables = amodel.variables new_variables = {'u':'u-component_of_wind_height_above_ground'} data = amodel.get_query_data(_latitude, _longitude, _time, @@ -81,19 +89,19 @@ def test_variables(): def test_latest(): - forecast.GFS(set_type='latest') + GFS(set_type='latest') def test_full(): - forecast.GFS(set_type='full') + GFS(set_type='full') def test_gfs(): - forecast.GFS(res='quarter') + GFS(res='quarter') def test_temp_convert(): - amodel = _models['GFS'] + amodel = _working_models[0] amodel.data = pd.DataFrame({'temperature':[273.15]}) amodel.convert_temperature() @@ -101,7 +109,7 @@ def test_temp_convert(): def test_bounding_box(): - amodel = forecast.GFS() + amodel = GFS() latitude = [31.2,32.2] longitude = [-111.9,-110.9] new_variables = {'temperature':'Temperature_surface'} From 59ee607c8b1e9bba5129a48c25e2d89145e0325f Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Thu, 7 Jan 2016 21:39:12 -0700 Subject: [PATCH 28/88] Updated documentation, tutorials, and forecast.py --- docs/sphinx/source/conf.py | 2 +- docs/sphinx/source/forecast_module.rst | 172 ++++++ docs/sphinx/source/images/diffuse.png | Bin 0 -> 36150 bytes docs/sphinx/source/images/fm_init.jpg | Bin 0 -> 51182 bytes docs/sphinx/source/images/forecastmodel.jpg | Bin 0 -> 18880 bytes docs/sphinx/source/images/gfs.jpg | Bin 0 -> 105054 bytes docs/sphinx/source/images/ndfd.jpg | Bin 0 -> 71837 bytes docs/sphinx/source/images/nosetests.jpg | Bin 0 -> 68106 bytes docs/sphinx/source/images/oop.jpg | Bin 0 -> 32654 bytes docs/sphinx/source/images/pvlib.png | Bin 0 -> 209184 bytes docs/sphinx/source/images/query.jpg | Bin 0 -> 82868 bytes docs/sphinx/source/images/tempconvert.jpg | Bin 0 -> 14244 bytes docs/sphinx/source/images/thredds_data.jpg | Bin 0 -> 82250 bytes docs/sphinx/source/images/thredds_icon.jpg | Bin 0 -> 14774 bytes docs/sphinx/source/images/unidata.jpg | Bin 0 -> 13142 bytes docs/sphinx/source/index.rst | 1 + docs/tutorials/notebooks/forecast.ipynb | 303 +++++----- .../notebooks/forecast_to_power.ipynb | 550 ++++++------------ pvlib/forecast.py | 15 +- pvlib/test/test_forecast.py | 8 + 20 files changed, 508 insertions(+), 543 deletions(-) create mode 100644 docs/sphinx/source/forecast_module.rst create mode 100644 docs/sphinx/source/images/diffuse.png create mode 100644 docs/sphinx/source/images/fm_init.jpg create mode 100644 docs/sphinx/source/images/forecastmodel.jpg create mode 100644 docs/sphinx/source/images/gfs.jpg create mode 100644 docs/sphinx/source/images/ndfd.jpg create mode 100644 docs/sphinx/source/images/nosetests.jpg create mode 100644 docs/sphinx/source/images/oop.jpg create mode 100644 docs/sphinx/source/images/pvlib.png create mode 100644 docs/sphinx/source/images/query.jpg create mode 100644 docs/sphinx/source/images/tempconvert.jpg create mode 100644 docs/sphinx/source/images/thredds_data.jpg create mode 100644 docs/sphinx/source/images/thredds_icon.jpg create mode 100644 docs/sphinx/source/images/unidata.jpg diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index 288583c8d7..1d4856bddc 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -135,7 +135,7 @@ def __getattr__(cls, name): if not on_rtd: # only import and set the theme if we're building docs locally import sphinx_rtd_theme html_theme = 'sphinx_rtd_theme' - html_theme_path = ['_themes', ] + html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] else: html_theme = 'default' diff --git a/docs/sphinx/source/forecast_module.rst b/docs/sphinx/source/forecast_module.rst new file mode 100644 index 0000000000..b86dce98fd --- /dev/null +++ b/docs/sphinx/source/forecast_module.rst @@ -0,0 +1,172 @@ +.. _forecast_module: + +**************************** +Forecast Module Background +**************************** + +This document is under construction. + +Here is the background behind the development of the forecast module. + + +PV System Power Calculation with pvlib-python +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Here is the process that is used to produce a power output estimate using pvlib library. + +.. image:: images/pvlib.png + + +Forecasted Meteorological Data +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Listed in the chart below are the forecast models and their intervals for which data is available on the + Unidata THREDDS server. + +.. image:: images/unidata.jpg +.. image:: images/thredds_icon.jpg +.. image:: images/thredds_data.jpg + +Unidata THREDDS Data Server (TDS) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Where does the data come from? + +Unidata hosts a THREDDS Data Server that contains the forecast model data from NCAR, NCEP, and FNMOC. + +Thematic Real-time Environmental Distributed Data Services (THREDDS) + +* http://thredds.ucar.edu +* http://thredds.ucar.edu/thredds/catalog.html +* XML based online data repository +* Multiple data formats supported (netCDF, HDF5, GRIB, NEXRAD, OPeNDAP, etc.) + + +Unidata Siphon +~~~~~~~~~~~~~~ + +What is Siphon? + +Open source Python library for downloading data from Unidata technologies THREDDS Data Server (TDS). +https://github.com/Unidata/siphon + +How to download the data? +Using the NCSS (netCDF subset service) module which accesses the xml catalogs on the TDS. + +What versions of Python are supported? +Python 2.7 & Python >= 3.3 + +Available via pypi, Binstar, and Github + +pvlib-python Forecast Module Objectives +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The criteria for the module development were as follows (many were focused around object-oriented programming). + +* Simple and easy to use +* Comprehensive +* Flexible +* Integrated +* Standardized + +.. image:: images/oop.jpg + +Challenges +~~~~~~~~~~ +There were several challenges that were addressed when putting together the forecast module. + +* Data format dissimilarities between forecast models + * Forecast period + Many of the forecasts come at different intervals and span different lengths of time. + * Variables provided + The model share many of the same quantities, however they are labeled using different terms + or need to be converted into useful values. + * Data availability + The models are updated a different intervals and also are sometimes missing data. + +* Irradiance + * Cloud cover and radiation + Many of the forecast models do not have radiation observations or if they + do they are incorrect. Since it is necessary to have accurate radiation values + to calculate power output the model by default uses a basic radiation function + (Liu and Jordan, 1960) to generate more appropriate radiation values based on cloud cover. + +.. image:: images/diffuse.png + +.. math:: + + DNI &= {\tau} ^m DNI_{extraterrestrial} \\ + DHI &= 0.3(1 - {\tau} ^m)cos{\psi}DNI_{extraterrestrial} + +Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and +characteristic distribution of direct, diffuse, and total solar +radiation". Solar Energy 4:1-19 + +Forecast Module Structure +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Hosted on GitHub +https://github.com/MoonRaker/pvlib-python + +Existing functionality + * location + * Air mass number (atmosphere.py) + * Direct Radiation (clearsky.py) + * POA diffuse radiation (irradiance.py) + * Solar angles (solarposition.py) + * Conversion to power (pvsystem.py) + +Added functionality + * Unidata Forecast data (forecast.py) + * Cloud cover to diffuse radiation (irradiance.py) + +Model subclass +~~~~~~~~~~~~~~ + +Each forecast model has its own subclass. These subclasses belong to a more comprehensive parent +class that holds many of the methods used by every model. + +Within each subclass model specific variables are assigned to common variable labels that are +available from each forecast model. + +Here are the subclasses for two models. + +.. image:: images/gfs.jpg +.. image:: images/ndfd.jpg + +ForecastModel class +~~~~~~~~~~~~~~~~~~~ + +The following code is part of the parent class that each forecast model belongs to. + +.. image:: images/forecastmodel.jpg + +Upon instatiation of a forecast model, several assignments are made and functions called to inintialize +values and objects within the class. + +.. image:: images/fm_init.jpg + +The query function is responsible for completing the retrival of data from the Unidata THREDDS server using +the Unidata siphon THREDDS server API. + +.. image:: images/query.jpg + +The ForecastModel class also contains miscellaneous functions that process raw netcdf data from the THREDDS +server and create containers for all the processed data. + +.. image:: images/tempconvert.jpg + +Tests +~~~~~ + +The nose library is used to perform tests on the library modules to ensure that the library performs as +expected and as it was intended. + +.. image:: images/nosetests.jpg + + + + + + + diff --git a/docs/sphinx/source/images/diffuse.png b/docs/sphinx/source/images/diffuse.png new file mode 100644 index 0000000000000000000000000000000000000000..4366715da06ea8856703901b830d5ebd473022ae GIT binary patch literal 36150 zcmbSyby!v1*DZ*&bV`bJhjdCyOLwPqcSAl==~LFoqR?uNT~-|u(hyZ_wh z`pC04$K&2>uQk`0V~jcX*N^g&C`bfIP*6}PQXj;WprBqrprD|Q5#YclcjW4S!QrKo zh?EKf_~VUW@&){kX#YXe2?`1s^Z5sQV$t^=3hE7%l$fxJd+Pq8o4bnXW&6od+OWw4 zl@I0z@}Tx{(L_`=F-2j;*-2QOyUP0FpGMFOR+<<%*e~O2R<%B2D1O9viLpaQ@f{KU z1KN(wg!$o7^n2f*IUN*nEL&&%f>cghOJ1jJ1F2q{3s6;i z`P2U&-|!@5fo?ZpLxGL(?|VHj15FCwP5JN0`GP7T93k)@%QCbloEyg`?Oo)xY`*14k(G@EAIc_nZ=gt{&gCM zRjcikAb7|U-KN{mV-J7hs#03UtjZrkXJ!P>kA^4tA^+*q 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"collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\matplotlib\\__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n", + " warnings.warn(self.msg_depr % (key, alt_key))\n" + ] + } + ], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", @@ -101,7 +104,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Instanciate forecast model " + "## Instantiate GFS forecast model " ] }, { @@ -130,7 +133,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "collapsed": false }, @@ -138,18 +141,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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S/cudeP2DczhxLoQ1Inu1Evkk01l85/8exHQwgb//4jV0oaOQV/eNIZtjse3K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BmeYWyNMt6+nLvBqXw4aQ39kemebrrrsOl112Ga699lpYrdZDvlYsFvH444/juuuuw3e/\n+13NF0lE5jE+l4TNakFPyF3JPjBo1tcTL00BAN5y8gBeKGc/ZxdTTb+5kbKx2QQisSzO3NoLm3X1\nfFZlwEmUzwe17JlovJ4ZKLU86/SzV3Mr5HZ9jZysrNTX6cHrBxeRzRXhdFiVf6BFNTPN3/zmN3H+\n+ecfFjADgNVqxUUXXYT7779f08URkbmIooTJSBID3R5YLRZ0BVwQBAbNeoqncnhh1xwGur04eiCA\nnlApUGNds7Ze3LN614xqHKWtvjdGy/2ZGwyagVJdcyyZQ75QVHtZppAoZ5pbDZoBYGZRn2xzzaDZ\nYrHgmWeewd69eyufe+ihh/DnP//5kO8hIlLL3FIa+YKIDd0+AIDNakGn38VezTp66tUZFEUJbzm5\nH4IgcBKdTl7cPQ+rRcCJR3XV/J5OvxMWQeDzQUU7R5cgCMCWocb3TCx30ODGzGbImWaPS3F7XU16\nt52rGfVu374dN9100yF1y4FAADfffDMeffRRXRZHROYyXq5nHuxZbrcVDrqwGM8ym6MDSZLwh5cm\nYbUIOOvEPgBAOMQOJlpbjGdxYDqOY4eDawYQNqsFnQEnT2BUkssXsW8yiuFePzxNZDvZQaM1Sbk8\no87e2KvRu+1czaD5X/7lX/DTn/4UJ510UuVzl1xyCX70ox/hgQce0GVxRGQuE+XOGXKmGVi+JD3P\nNybN7Z+KY2IuidOO6UbAU+qQ1Ol3wWoRMMtezZrZIZdmbK5dmiELB92IJnLI5XkS2aq9E1EUilJD\nreaqsVdza5JpuTxjHWSaRVFEf3//YZ8fGhpCscgnK61v6WyBAwQMUMk0h6szzcx06uUPL00CAN5y\nykDlcxaLgO6gm9lNDb3YQNAsd9DgSWTrXq/0Z268nhlYzjTzWDQnlSnAabfW3Phaj66ACzarBVNG\nB82SJK3aUi6ZTCKXY+shWr8W41n8w3f+hP/7xF7lbyZVTcwn4XbaDunSwLZz+sjminj6tRl0Bpw4\nYaTzkK/1BN1IpPOVGkRSTyZXwGsHFjEY9lWuqqyFHTTU88boIgQBOGawyUwzyzNakszkW6pnBkon\n9b2dbkwvpCBJ2ie6agbNl1xyCb74xS9iZmam8rm5uTlcf/31eOc736n5woiM8tSr00hnC9g7HjV6\nKaaSLxQxs5DGhrD3kGloYXYM0MVf3phFJlfEOSf2HzZooIfHQDOv7l9EoSiu2TWjWneQvZrVkM0X\nsW8yhpE+f9OBW6ffCQFAhCcwTUlmCi11zpD1dXqQzRWxpEMv+Zp/KVdddRUikQguuugiBINBSJKE\neDyOD3/4w7jmmms0XxiRESSpNAkNYIstvU1FUhAlCYNh3yGfZ9Csjz/sKJVmnHvy4WV5crZ/dimN\njX1+Xde13r24Zw4AcFqdQTOfD+rYMxFFUZRwbJOlGUBpY2bQ72RNcxNEUUI6W2ipnllWqWuOJDXv\nJV9ztYIg4IYbbsDnPvc57N27F4Ig4JhjjoHbrXz5iOhItX8qjqnyLtylRA7ZfBFOu/YN06l6E6D3\nkM/73XY4HVZm1jQ0FUli13gUx28MVYKyassdNBioqUkUJezYE0HQ56j7ZCTcwY2xaljuz9xcaYas\nq8OFfRMxFEURVrbhrVsq23q7OVn1ZsDjV5SWqa3mEb7vvvuQSCTg8/lwyimn4OSTTz4kYI7H4/jG\nN76h6eKI9PbkK6Usczd70+putU2AAMq9gt2Yi6Z1qVkzoz/KEwBPOTzLDCyXZ7CDhrr2TESRSOdx\n6uZuWARB+QcA+D12OOwWvja1aHSm9HqzeUPj/ZmrdQdcECUJi3H2am6EPEK7lXZzMrntnB6bAWuG\n+BdccAE+85nPYMOGDfirv/or9Pb2wmazYWJiAn/+858xMTGBm2++WfMFEuklXxDxzGsz6PA68NZT\nB/B/f78Pc4vpw8oFSBsT8+VM8yqPdzjowvhcAvF0vtIKjdRRKIp48pVpeF02nL4lvOr3sCRAG/VM\nAVxJEASEg27Ml08ihTqDbTpUIp2HzSrA7Wwt01m9GbC7g1fi65VMyyO0W8809+vYdq7mak866SQ8\n9NBDePLJJ/Hb3/4W27dvh8ViwfDwMC699FKce+65mi+OSE879swjmSngXW8erlzuYV2zfsbnEgj6\nHPCtknmoDtoYNKvr5b0RxJI5vONNg7DbVi9FctitCPoczDSr7MXd83DYLTh+Y2N1teEONybmkkhm\nCqs+X0hZMlOAx2Vv+aSDvZqbk1JhhLbM47Ij4LHrMuBEMcQ/55xzcM4552i+ECKj/bG8AfDsk/oq\nPZoZJOgjlSlgIZbFCUetXo9WHTRvGmjtciod6g8KpRmycNCNPRNRFIpiS31VqWQqksT0Qgpv2hKu\nebJSS3dVG0YGzc1JpvPwe1p/7Nh2rjmVaYAqZJqBUl3z7vEo8oViw8+nRvCVjwhANJnDK/sWsLHP\nj8GwrxKkMdOsj4n5Un3hyk2AMrl7wzw3A6pqKZHFS3sj2Njnx3Dv2hvReoJuSBI3oKllx54IgPoG\nmqwkbwZkuUxzJElCSqV2Z8w0N0euaW5mfPlq+ro8kADMaJzoYtBMBODPr05DlCScc2IfAMDttCHg\ndWCOmWZdyJ0zatWPs6ZWG0++PAVRknDeKm3mVmIHDXW9uHsOAoCTN3c1/LNhjpZvSSZXhChJqmQ5\nK0Ezj0VDKplmt1qZ5lLCResSjbqD5kQioeU6iAwj92a2WgScsbW38vmeoBvz0QwKRdHA1ZlDpd1c\nePVMM7uZqE+SJPzxpSnYbZZD/u5rYQcN9cRTOeyeiGLTYEdTNfrdnJLZEjWznE6HFT63HfMxds9o\nRDKtXk0zcGjbOS0pBs07d+7ExRdfjIsvvhgzMzN45zvfiZ07d2q6KCI9jc4kMD6XxCmbu+GvegML\nB90QJQkLvOymufG5BAQAAzXKM+w2K0J+J3s1q2jX2BJmFtPYdmy4ruCBmWb1vLQ3AkkCTmuiNAOo\n6tXMY9GUlMr1tF0dLizEMmyJ2QC1j4Hcds7woPnuu+/Gfffdh1AohN7eXtx888247bbbNF0UkZ7k\nCYDnnNR3yOd7Q6xr1oMkSZiYTyIccq85SCbc4cJCnJl/tVQ2AJ48UNf3M9OsnmZazVVzOqwIeOw8\niWxSJcup0ibK7oAL+YKIWCqvyu2Zgdo1zd0dLlgtgvFBcyqVwpYtWyr/futb34pcTvv53kR6KBRF\n/Pm1Gfg9dpx09KG1hZXMGoMETUWTOSTSecV+2OHyRjRuuGldKlPAX3bOoifoxrF1TkTzue1wOazM\nNLcoXxDxyv4F9HZ60N+1+pWVeoSDbkRimUqnH6qfXE+rxjQ6gB00mlE5Bi32yZbZrBaEg25MR1Ka\nZvwVg+aOjg7s2rWr0svwv//7vxEIBDRbEJGeXtobQSKdx5lb+w5royVn1rTejWt2tcZnr8TNgOp5\n+vUZ5Aoizj25v+4+tYIgoCfoxtwSJzO2YjGRRTZXxOaB1t5Hu4NuFEVOomuGnOX0qZTlZAeNxqUy\neXicNlgs6g3n6ev0IJUtIK5hxl8xxL/jjjtw4403Ys+ePTjjjDPQ39+Pe++9V7MFEempVmkGwBpO\nvcjjs2ttApQtB818Y2rVH3ZMQhCAc05S7ppRLRxyY3Q2gWgyh6DPqdHq1je1SgPCVZsB5Uwn1SfF\nTLPhSsNl1Hn8ZX1dHmBPqa454NVmCJbiikdGRvDd734XdrsdqVQK+Xweg4ODmiyGSE+xVA4v7Y1g\nqMe3ao9av9sOt9PKmmaNKbWbk7FjgDrGZhM4MB3HKZu6EPI3FvhW1zUzaG6OnOVsNWiWRzbPRdM4\nDo1NFDS7hErHQMa2c41LZvItlSetprqDxpah+srOGqVYnvHQQw/hqquugt/vR6FQwNVXX41///d/\n12QxRHp6+rUZFMXl3swrCYKAcNCNuUVejtbSxHwCNquAnnJmvxaWZ6jjDzsmAQBvOaW+DYDVePWl\ndcl0KcvpazHLFq60YWSg1igtumcALM+oV74gIpcXVXv8ZZWgWcNezYpB88MPP4yHHnoIALBhwwb8\n8pe/xI9//OO672DHjh244oorAACvv/46zjvvPHz84x/Hxz/+cfzmN79pctlErfvTy9OwWgScecLq\nQTNQyqzlCiKWEtz8qgWx3Dmjv8urOJq5w+uA3WbhVMAW5Asinnp1GgGvAydvanyoBjtotE6tTPPy\ngBMei0YtbwRUJ9PsddngdFg5bKZOKZU7Z8j6dWg7pxjm5/N5uFzL9VJOZ/2X5B588EH86le/gtdb\nSsG/8soruOqqq3DllVc2vlIiFY3PJnBwJo5TN3evWfvUEyo9CeeW0g1fyiZl80tp5PKiYj0zUJX5\nZ5azaS/snkMyU8C7zhhWPElZDbP9rVNrqEMo4IRFEHgsmrB8DNTJdAqCgO6Ai5nmOsknLa1ebVnJ\n73HA67JhSsOgWfFV8+1vfzuuvPJKPPzww3j44YfxqU99Cm9729vquvGNGzfi/vvvr/z71Vdfxe9+\n9zt87GMfwy233IJUStt+ekS1PPlKaQPg2TVKM2RyycDMIv9WtTBeZz2zLNzhQipbqGTrqDEHZ+IA\ngFObHKrRGXDCamGg1gq1xgdbLRZ0dTh55aUJqUwBTru1qRPHWro6XEhnC5UsKtWmdo/man1dHswv\npTXr56/4F3PjjTfiQx/6EHbu3Im9e/figx/8IK677rq6bvzCCy+E1bo8rOCUU07BDTfcgJ/+9KcY\nGhrCt771reZXTtSkoijiqVdn4HXZcIpC8MDMmrYm5M4ZCu3mZDwerZEzbH5Pc29WpUDNxc2xLVBz\nfHB3hxvRZA7ZfLHl2zKTZCbf8knLSvJmQJZoKFPrxHE1fZ0eFEVJs/eIula8efNmDAwMQJIkiKKI\n//iP/8D73//+hu/sggsugN9f6lJw4YUX4u6771b8mVDIA5ut9pQwWhYOH94Bgg737GvTiCVzuPic\nozDQ37H2N9tKT5FYqlDX48tj0Ji5WKnH7MnH9SJcLoVZy1GDQeC5cWTF2o81j0Ft+XLyZWSos+mW\nTIM9fjz/xiy8fteamSIeh9XJx2DjYKjluubh/gBeP7gI0WJZ9fHmMVhdOltAOORR9fEZHugAXphA\nAcJht8vjcCjrwSUAQG+3X/XHZtNQCE++PI10QTrkttW6H8Wg+aabbsIzzzyDeDyOkZER7Nq1C6ed\ndlpTQfPVV1+N2267DSeddBKeeuopnHDCCYo/s8jL4nUJh/2Ym4sbvYwjwn8/uR8A8KbNXYqPmShJ\nsFktGJuJKX4vj0Hj9k1E4XJYgXyhrsfObStdHNs7uohjVxkOwWOwtshiCgKAdCKDbKq5oRgd3lKg\n9/qeuVVbNQI8DmtZiKVhEQQk42mkEq1lJX3OUkLpjf0RuK2HDongMVidKEpIZgoYtFlUfXxc5cd/\n39giju5dLjfjcTjc9Gzp8RDrfN1vhL88YfCNA5HKcWj0GKwVYCsGzU8//TS2b9+Ou+++G5/4xCdQ\nKBTwT//0T3XfebU777wTX/7yl2G32xEOh3HXXXc1dTtEzUqk83hx9xwGur0Y6VM+87QIAsJBF7sF\naCBfEDGzkMJIv7/uqXRh9mpuSaI8UKCVKVzhjuUOGrWCZqotmc7D47LV/Te/lkoHDT4f6pbKyqUB\n6tbTsu1c/dTqILOavi5t284pBs09PT1wOBzYtGkT3njjDbznPe9BIpGo+w42bNiARx55BACwdetW\nPPzww82vlqhFz74+g0JRwjkn9TUQqLkxFUmV6uA02LhgVtMLKRRFqe5NgEBpdDDAoLlZiXQePk9r\nk7J62Ku5Jcl0XrVgoTLghJsB67a8CU2bmmYOOFGWVLlPdrWeoBuCoF3bOcWNgD09PXjwwQdx6qmn\n4uc//zm2b9/OrhcaWoxn8T/PjEIUOUxDC398eRqCAJy1Rm/mleQggdlmdTW6CRAAnHYrAl4HA7Ym\nSJKEZDoPX4ubb3p44tI0SSqVBqjVaku+8sJezfVbHi6jbgKkw+eAzSow01wHucOIFkkou82CcEcp\n0aWFmkHz2NgYAOArX/kKenp6cMopp+D888/HL37xC9x+++2aLIaAhx/bhUd+uwcv74sYvZR1ZyqS\nxP6pGE44XLcgAAAgAElEQVQ8qquhEcAc6KCNRtvNycJBFyLRLIqiNi2F1qt0toiiKLUcLMglAeyg\n0bhMrnQM1Mo0+9x2OB1WZpobkNIo02wRBHQGXMw012F5uIz6mWagVKKRSOeRSKvf/q9m0Pz5z38e\nQGkj4Hvf+14AwJVXXonvf//7OPvss1VfCJWyBc/tmgMAjM5w44Dannx5GgBwzkn1Z5mBqkwzgwRV\nVTLNdQw2qRYOuiFKEhZjzW1kM6tEujTV0tdkuzmZ02FFh9fBk8gmJFXOsAmCgHCHG3PRNCSJVyfr\noWVpQFfAhVgqjxxbAK4pmcnDIgilTeAaqIzT1qBEY82/miuuuAKvvfYarrrqqsO+9sMf/lD1xZjd\nb5+bgPy6NzpTf904KRNFCX96ZQpupw2nHdPYYIfKVEAGCaoan0uiw+uAv8Ea23DHcnmAXONMyhLy\nZWkVspzhkBv7JmIoFEVVB0Ssd3JpgJr9acNBF8bnEkik8w0/l8xIy01o1ZsB+7saSwaYSSpTgNet\nzmbY1VSC5kgKmzcotJVtUM1n7o9+9CO88soruOOOO/DpT39a1Tulw2VyBfx+xyQCHjuKooTRWWaa\n1fTawQUsJXJ426kDsDfY97u7wwVBYKZZTelsAZFYBltHQg3/bGXASTSD49Ve2DomX6pUJWjucGPP\neBSRWAa9dfTXphI5YFOznrZ6MyCDZmValgZ0Bxg016PUQUa7TfWGZJr9fj/OOussbNu2DWeddZbq\nd0yHevLlaaSzBVx07lHYPb6E1w4sIlVuD0Wtk0szzj6pv+GftVkt6PS7MMue4aqZnC/VM2/obqye\nGWDbuWZVyjNUCJorHTQW0wyaG7A8CU29gKF6M+DRq/Qup0OpOZFxpUqmmXXNNcmbYcMaXiWstJ3T\nIGhWvK62c+dOpNN8c9KSKEl47C9jsFkFvO20DZXep2PMNqsilSng+V1z6O30YFOTbyo9ITeWEjnW\nqqlkvFzPPNhgPTPAUdrNUrM8gx00mrMcsKmXDGEbxsakNK5pBtireS3ZfGkzrJaZ5g6vAy6HVf+a\nZgCw2+1429vehk2bNsHlclU+z5pm9by8N4KZxTTOOakPHV4HhstTbEZnEjh2uPHL13So3eNLyBdE\nnHF8T9M1VD0hN14/uIi5pTQ2NNjtgQ43Ue6c0cxjGfQ7YbMKDBIapGp5BjfHNkWLetrlk0gGavVY\n7tPMTLMRtDxpkQmCgL5OD8bnEqq371Vc9d///d+reod0uEf/Umrvd+G2IQDAcE8p08wOGuqIJUuX\npeXav2ZUt51j0Ny68SZ6NMssgoDuDjeDhAapGTSzDWNzKhsBVa1pZrlSI5KZAgQAHqf6QVvI74Qg\nMGhey3L3Em0HhfV1eXBgOo75aBq9veqVLSn+1Tid9fezpcaNzyXw2oFFHDccrJRl9HV64LBZMDrL\nDhpqiMvBQgutttibVl0T80mEgy44m2w5FA66Mb2QYt1/A9QMmv0euT8wnw+NSFQyzer9zTrtpRaA\nHHBSn1QmD7eztVHytdisFgR9TpZnrEEuUdL6dbt6M+AJKt6u4qq//vWvVz4uFArYvXs33vSmN+EH\nP/iBisswr8dWZJkBwGIRMNjjw8HpOPIFEXYbWzq1IpEqPUn9LQTN7NWsnmgyh3gq31IroO6qzU/D\nLr9aS1vXEqnSFRc1SgMq/YGXSv2BtWodtd5otQmtO+jC/sk4iqIIq4XvF2tJltudaaWrw4V9EzEe\nixq02Ay7muq2c2pS/Mv52c9+dsi/R0dHcc8996i6CLOKpXL40yszCAddOGXzob2Dh3v92DcZw+R8\nEhv7GBS0Il4OFlppx1SpG+Tl6JY1O9SkWnWvZvkKDa0tkS7A7bSq1le5J+TG+FwCsVQeHV62OquH\nVqUB4aAbeydiWIxl2btcQTKT17QdXHfAhT3jUSzGsy2VBK5XywN+9Ms0q6nhV8/h4WHs3btX1UWY\n1e9fnEShKOKC04cOu1S0vBmQdc2tkssz/C2c2bqdNgQ8dtZwqqDZ8dnVuPmpcclMXpXSDFkPTyQb\nlszk4XGpXxrQ3cEOGvXIF0Tk8qKmARs3A64tpfEIbVmvRkGz4qpvvfXWyqU3SZKwZ88ebNq0SdVF\nmFGhKOK3z4/D5bDi3JMP7x28vBmQdc2tiqdysFlbH9kZDrlxYIqXQFs10cImQFmlVzPrOOsiSRLi\nqTyGetTLsC130Ehh86C6U7fWq2Q6r8kGqOXnAwf+rCWl8hjz1bDt3NrUHiVfi9NuRVfAiSm9g+ZT\nTjml8rEgCDj//PPxlre8RdVFmNGzO2cRTeRw4bYhuFe5VDcY9kIQwMmAKoinSuNlW6277Al6sHci\nhkgsW8myUeMm5pOwWoRKJqAZ7NXcmFxeRKEoqlpHyA4ajUtmCgiF1d9cH2amuS5JHdqdyZnmeWaa\nV6XHMZD1dXrw6oHFysmSGhRXffnllyMSiaCrqwvPP/88du3ahWKRAx5aIUkSHn12DIIAXLBtcNXv\ncdit6O/yYnQ2AVGSYOFGm6bF03n0qhDkVjYDLqYYNDdJlCRMzCXR3+VpqbbW7bTB57azPKNOCRVK\nlFbiZMbG5PJF5AuiRpnm0usRA7W1adEne6VKppnHYlUpHY6BrK/Ti1cPLGJiLoGgSkG64rvWXXfd\nhW9+85vYu3cvvvCFL+CFF17AjTfeqMqdm9WeiSgOTMdx2jHhNUdJDvf6kM0VWTPYgnyhiGyu2FLn\nDBlrOFsXiWaQzRdV6XUdDroRiaZVb16/HslBs5pvVJ0BFyyCwI4yddKya0DI74TVImCex2JNSR3q\naVmesTYtpmLWIo/TnlCxfa9i0Pziiy/izjvvxG9+8xtcdtll+NrXvoaJiQnVFmBGjz4rt5lbPcss\nq9Q1s19z0+KVdnOt7+5n27nWtTI+e6Vw0IVCUcJSItvyba13avZoltmsFnR1OJntr5OWwYLFIqAr\n4GLWX4FWLf+qOR1W+Nx2ZpprSGYKcNgssNta22NUD7mDhvy+owbFoLlQKECSJDz++OM477zzkMlk\nkEqpP8/bLOajaTy3aw7DvT5sGQqu+b3soNE6OWhWdXQwM81Nq4zP7lYn0wywPKAe8XS57aLKWc6e\noBuxZA6ZXEHV212PtN4AFQ66EEvlkc2xfLIWPUY4A6W65kgsC1HiVbCV9BxIJQfNumaa3/ve9+It\nb3kLent7ceqpp+Kyyy7DBz7wAdUWYDa/fW4CklQaZqK0MU3uP3uQQXPTKsGCCuUZfrcdLoeVmeYW\nqJtpZua/XpXxzSoHzeFQ6U2J2WZlCY2OgUzuz8yOMrXJJy4ejTs3dAdcKBRFxJM5Te/nSJTMaNNB\nZjWhgBNOuxVjKsZQikHzpz71Kfzud7/DAw88AAD413/9V3zyk58EAHznO99RbSFmkMkV8Psdkwh4\nHXjz8b2K3+9z29EZcGKMbeeapmZ5hiAI6AkuT0Gjxk3MJ+F0WNFZ3mHeinCHvBGNAZsSLTYCAuyg\n0QithzpUNgPy+VCTXp0bKh00WNd8CFGSkMoUdKlnBgCLIGCo14exmTiyeXWuwNS1fd1uX36hDYfD\nlY8fffRRVRZhFk++PI10toC3n7ah7tHYwz1+RJM5RFm32ZS4CiO0q/WE3MjlRUSZQWhYoShiOpLC\nhm6vKt1gljsGMGBTIo+SVz3TzA4addO6c0N3B4+FEj36NAPsoFFLOluABO0z/dVGev0QJWBMpRKN\nliY0MNtWP1GS8NhfxmCzCnjbaRvq/rlKXTM3AzZFHqGt1gYo1jU3b3ohhaIoqVKaAZQuvVktAoOE\nOiQy6m8EBFgi0wi5RManWU0zyzOULHcw0TbTKZ/AsIPGofR6/KuN9JfKXA9MxVS5vZaC5laHRZjJ\ny3sjmFlM48ytfQh46y8VkOuauRmwOWqWZwC8HN0KNTcBAoDVYil3DOAbkxItumcA3IzZiOVMM8sz\njJLM5GG1CHDate3cwFHaq9Mr019tY18AAHBgWp0YirOAdfLoX0pt5moNM6lFzjQfZF1zUyq1nKqV\nZ5Q2PjGz1jg1NwHKwkEXYskcOwYoSKTycNgtcKgcLLidNgQ8dvYur4PW7c68LhvcTiszzWuQOzdo\nnfBj0Lw6+WqLXt0zAKC/0wOXw4qDDJqPHONzCbx2YBHHDQcrmeN6dQVc8Lpsqu7+NJN4KgdBUK+O\ncDnTzLaLjapkmlUYbCLjJen6JNJ51bPMsnDIjUgsg6IoanL764XWgzUEQUB3BzcqryWZ1qdzg8dp\ng8thZXnGClq3XVyNxSLg6A0dmIwkVUmutBQ0j4yMtLwAM3isnGW+8K+GGv5ZQRAw1OPDzGIa6Sx7\noTYqnioFC2qNIQ/5nbBZWUfbjMn5JPwee0PlSUpYHlAfLYPmnqAbRVFCJMbNymtJpvNwOawtjY9X\nEg6WNirLZWm0TJIkJHXq3CAIQrlXM4Pmanp1L1lp81AQkgSMzraefFR89sZiMdxxxx246qqrsLS0\nhNtuuw2xWKmg+r777mt5AetdLJXDn16ZQU/QjVM2dTd1G3J2Ws2pNmYRT+VUDRYsFgHhoJs1zQ0q\niiIisQx6y+UtalkOmvnmVEu+ICKbL2qXaeZ4+bro0Z+WHTRqy+aLKIqSZt1LVuoKuJDOFislglRV\n06zTMZAdM1gaJHdgSoeg+bbbbsOWLVswNzcHj8eDQCCAG264oeU7NosnXpxEoSjiHdsGYbE0l+1c\nngzIoLkRRVFEKlNQbROgLBx0I5kpVC41kbKleA5FUaq8qauFmWZlWm0ClPEY1CeRKWjeNYDlSrWl\nNC6PWUmua55jKV+F1iVKtWySg2YV6poVg+axsTF89KMfhdVqhcPhwPXXX4+JiYmW79gs3hhdBACc\nc2Jf07fByYDNSaZLPSHV2gQoYweNxsm9lLtUDpq72SdYkdZBc0+IbeeUFIoisrmi5plmuW82O2gc\nrlIa4NQny9ld7tU8u8CgWab1ZthaNoR9cDqsODDdets5xaDZYrEgkUhUdpuOjY3BYuH+wXotxLPw\numwtNfPu6/TAZrVwMmCD5B7NqmeaQ8ysNWq+vItc7aDZ67LD47TxWKxB86CZ5RmKlvvTal2ewdem\nWioBm049guXXuqkIg2ZZyqCaZotFwMZeP6YjKWRyre0NU4x+r7nmGlxxxRWYnJzEtddeiw9+8IO4\n9tprW7pTM1lKZBHyO1u6DZvVgsGwFxPzCRSK3KFeL3kzjNrBQi8HnDRMbr2kdnkGULokPR/NsGNA\nDUmNg+aA1wGH3cJM8xoqx0DjYEF+fs2z1dlhlksD9Mly9neVWmuOq7D5bL2QSxr1Ls8AgJE+PyS0\nXuaquPKBgQE8+OCDeOGFFyCKIm699Vb09PS0dKdmkc4WkM4WEWwxaAZKJRoHpuOYiqQw1KNey671\nLK5yj2ZZmOUZDZuPyUGzW/XbDgddODgTRzSZA1+ZDhfXOGgWhPLm2HKrMw69OpzWI7RlDrsVHT4H\nM82rWG53pk/A1tfphiAA45zmW5HMFOB2WmE1oFphpK88GXA6ji1DwaZvR3Hl1157Lbq6unDBBRfg\noosuYsDcgKVEqQVTyKdG0CxvBuRZa70SlfIMdd+oujvcEMAazkbImeauQOvPhZW4EW1tWpdnAKUS\njWyuyFZnNchDHfSo5QwH3ViIZXlVcoXl0gB9Ms12mxXhDjdnLFRJZfLw6FRTvtJIvzwZsLW6ZsWg\nefPmzXjggQfw1FNP4fnnn6/8R8oW4+WgWaVMM8DNgI1Qe4S2zG6zoDPgYpDWgPloGh0+B+w29cfX\nMmheW0IuU1L55LEaj8Ha9MxyhjtcECUJ8zwWhzCiNKC/y4NYMlfZX2N2CZ36ZK+mJ+RWZTKg4uoj\nkQieeOIJPPHEE5XPCYKAhx56qKU7NgM1g+ahsA8CwM2ADagEzRpk2HpCbrx+cBG5fFH10cTrjShK\nWIhlMdLf2DTMerFX89oqmWYNM2zVHTQ2bejQ7H6OVMub0PTJNAPATCSFgZD6ewiOVHptxqzW3+3F\njr0RTEVSqidvjjSVDjI692iWWQQBI31+vDG6hHS2ALezueBd8ad+9rOfNXXDVB00t/7C5XRY0dvp\nwehsgnWDdYqntemeAZTemF4/uIi5pbSqY6HXo6VEFkVRQldAmzfwMNvOrUmPelp20FhbQseuAfK+\ngemFJIPmKimda5qBUqYZAKYiyZbqaNcDvftkr2Zjnx87R5cwOhPHscOhpm5DcfWf/OQnVw3QfvjD\nHzZ1h2aymFAv0wyU6pqfeX0Wc9FM5U2KatOqewZwaGaNQfPa5qPabQIEgM6AC4LAoLmWeCoPm1WA\ny6HdFZEwezWvSa+NgMDySeTMQgrY1KX5/R0plnsE6xk0lzposO1cdYmSMZlmABjpk+uaNQya/+Zv\n/qbycT6fx+OPP45QqLk7M5vFmNpBsx/PvD6LsZk4g+Y6xFN5uJ1W2G3q79RlZq1+WrabA0otGbtY\nY15TMp2H123X9OpUV/nEhUHz6vQc6iCXZ0wzUDtEMlOAw2bRZF9FLQPlTPNkJKnbfbYro3o0V5M7\naLRS16y4+rPOOuuQf5933nm4/PLL8fd///dN36lZLCaysNssqv2RyB00Ds4kcPqx7GKiJJ7Owe/W\npo5MzjTPMEhQJE8D1Cpolm975+gSsvmiZvdxpEqk8+jUoGtJtcqJC08iV5XUMWAI+pywWQXMLDBQ\nq5bM5HUvDfC47Aj5nZia5wmMkT2aZeGQG26nDftbCJoVU3AzMzOH/PfHP/4Ri4uLTd+hmSzGswj5\nnKpleIZ7SmdJbGGjTJIkJFJ5zToGhJlprptW0wCrVXpnc2TtIYqiiFS2oGm7OVk46EY0meOJyyqS\n6TwcNosum4YtFgFdARczzSukMgVDNqEN9foRiWWQzZn7eWHERsyV5M2AMwsppLPNTQZUDPk/8IEP\nQBCEyuazzs5O3HLLLU3dmZkUiiLiyRz6VSz+D3gdCPocGGWzdEXpbAFFUdKkcwYAuJ02BDx2Xo6u\nQyVo1mgjIFDVMWAhhY3dHs3u50hT6Q+swxuV3FFmbimNwQFzb3paKZnJ6xos9IQ8eHlfBIl0XpcT\npnYnShJSmQI2dHt1v+/BHh9e2jOP6YUUNvZp00HoSKBnidJaNvb58frBRRycjuO4jY2XGisGzb/+\n9a/h9x96oKenpxu+I7OJJnKQoF49s2y414+X9kYQS+UQMHkLm7UsTwPU7jEKh9w4MBVHURQNmXB0\npIhEM+VRyxpuRKvUcSYZNFepPA/0CJp59aWmZLqgeYlMtcGwFy/vi2BiLtH0hqf1JJ0tQIIxWc6h\n8oyFyUjS1EFzO9Q0A4dOBmwmaK75Tj87O4uZmRl85CMfqXw8MzODyclJfPKTn2x+xSYht5tTY4R2\nNbmumf2a17Y82ETbNltFUUKkvOGTDidKEiKxjKb1zAA3P9ViRH9gXn05lChKSGULumbYBnvK7xO8\nKglguTTAiHraoXJZ5ZTJNwMm2qB7BlAdNDc3GbDmX9DXv/51PP3004hEIrj88ssrn7darTj//POb\nujMzUbvdnEyuax6dieOEozpVve31JJ7SrkezrLqumd1MVhdN5FAUJR2C5tLtT5v8jWklPUZoyxg0\nry6V1b+Wc6jcBnN8jkEzYGxpwGA50WX2zYDt0KcZKL1OeZw2HGhyM2DN1d9zzz0AgAceeACf/exn\nm1udiS3GSnWcIZ/KQXP5LIl1zWvTskezrDdUKgOYXUrjBM3u5cgmd87QchMgUDrOLoe11JuWKvQM\nmuWOMizPOJQR/YH7ujywWQWMzfIkEjC2NKAz4ILbacWUyV+blo+BsZlmQRAqdc2pTB6eBtdT10bA\nn/zkJ0ilUpAkCcViEePj4/jqV7/a9KLNoJJpVrmOrbuj9AQcZQeNNSXS2pdnVAY6LJr7xXAtlcEm\nGm4CBEovhOGgG9ORJCdmVtEzaHY7bfC57eyXvUJCx8EmMpvVgsEePybmExBFCRaLuZ8Py+3O9A/Y\nBEFAX6cXozPm3v+SyOQhCIDLqV+f7FpG+pc3Ax4/0tgVe8Wjd8011+DFF1/EL37xCywtLWH79u0Q\nRbHpxZpFZYS2yplmiyBgqMeP6UjK9C1s1qJHeYZckjHLzFpNy+3mtC9fCQfdyOSKlasMVBU0a3jy\nWK0n5MZ8NIOiKOlyf0eCSgcTnbOcIwMB5PIiT2JQ3e7MmNKAgS4PiqJk6veKVKZU129pg4RGZTJg\nE8lHxaA5Eong3nvvxdvf/na85z3vwUMPPYS9e/c2vkqTWYxnIQhAh0/9oG24xwcJrFdbix4bAf2e\nUkkA35Rq03oaYDX5JGba5JdBqyV0KFOqJm+OnedzokLPEdrVjuovBQbcDAikDN6E1t/NcdrJtP7D\nZWqpbAac0iBoDgRKT7yRkRG88cYbCAQCKBSaawptJovxLDq8Dk0uxQz3Lm8GpNXpETQLgoCeoBuz\nS2lIEjNrq4noVNMMAMN9pQ03+6ea2xW9HulZngFUdTGZZy2tTK5p9ukcsI30dwBgcgWozvYbFDSX\nx2mbuYNGMlMwvN2crLvDBa/L1tQ4bcWI7s1vfjO+8IUv4Oyzz8YPfvAD3HXXXbDZ2uMXb1eSJGEp\nkVW9c4ZMbjvHzYC1JdI52KwWODWewBUOuZHLi4gmc5rez5FqPppBwGPX/DgAwNEDpSBh3ySDZlki\nnYdFEOB26vOaLQfNZg4OVtJzhHa1kQFmmmWVbL9BQdtAVynTPGnSDhq5fBGFomj4JkCZUJ4MOLuU\nrvxt1EsxaP70pz+Na6+9FkNDQ7jnnnswMDCAb3/7200v1gzi6TwKRQkhvzbZtYFuL6wWgZnmNcRT\nefg9ds03hPWEWNdci9yjWY8sMwCEO1wIeB0Mmqsk0nl43Tbd6gjl5wNb/y3Ts1d2tZDfCZ/bzkwz\njG931h10wWYVTHsyaWSf7Fo2luuaG802KwbNH/rQh3DUUUcBAE4++WR86lOfQl9fXxNLNI/FmDab\nAGU2qwUbwl6MzyVR5KbMVclBs9YqU9BYw3mYaCKHQlHSZRMgUMoebBkOIRLLMPNfpvcY5b7yZegD\nLJGpSBpUTysIAoZ6fJhbyiCdNXdJ5XL3DGOCNqvFgt5OD6YWUqYs5TOqrn8t1ZMBG6EYNB9//PH4\n9a9/jdHR0cpUwJmZmbrvYMeOHbjiiisAAKOjo/jIRz6Cj33sY/jSl77U0EKPJFq1m6s23ONHviBy\nAtoqcvkisvmipp0zZHLQPMNM82EiMf02Acq2lEcG72e2GaIkIZnRN2gOeBzo7nBh1+iSKYOD1RjZ\nuWGwPORkwuQ15slMAW6n1dB2b/1dXmRzxUpnLTMxole5kmaDZsXf4LnnnsNzzz13yOcEQcDvfvc7\nxRt/8MEH8atf/Qpeb6me56tf/Sq++MUvYtu2bbjjjjvw2GOP4YILLmhowUeCJY3azVUb7vUBLwOj\nMwlsKL8wUkllE6AeU9BCzDTXIg820TNoPrYcNO+biuLUY7p1u992lMoUIEn6bQKUHT0QwDOvz2Ju\nKY2e8gAgM0um87BaBF3q+lca7Cm9947PJrB5Q4fu998ukpm84fW0A5XNgCl0aty3vt1UymOc7ZNp\n7upwwee2N3xVTPG06/e///1h/9UTMAPAxo0bcf/991f+/eqrr2Lbtm0AgPPOOw9PPfVUQ4s9UiyU\ng+agRhsBgeUOGgdZ13wYPXvTdvpLtWqsaT6cnu3mZFuGgwC4GRCo6tqgd9BcbnXGY1CSyBTgdWu/\nv2I1Qz2lhMqYyeuak5mC4fW0/fJmQBPWNRvdJ3s18mbA+WimEjPUQ/E3iMViuPfeezE2NoZvfOMb\nuPfee3HDDTfA7/cr3viFF16IiYmJyr+rL9d5vV7E48oBXyjkgc1m/ASZRmTypTrjzRs7EdYoC+wt\nbzKcXkwjHC4dC/n/ZjcWKQWwfWGfLo9Jb6e3klXlMViWyJaG7xwz0qXr47Ih7MWB6Ti6unymnoQW\nSZbeCHq6vLo+/m/a2o9HfrsHU0sZPh8ApLMFdPgchjwWJx/XB4tQKh8z67EoFEVkc0UE/S7DHoNw\n2I+tm0txwVIyb7pjIdhKJb39PQFDj8FKxx/dhVf2L2ApXcBRw/VNBlQMmm+77Ta8+c1vxvPPPw+P\nx4NAIIDrr78eDzzwQMOLtlTVEyWTyUoP6LUsHoEjiqfmSicDYr6AuTntMsE9ITf2ji9hdjaGnp6A\npvd1JBmfigIALJKky2PSFXBiYi6BRDqPdCKj+f0dKcbLV0EsRVG3v81w2I/hHj8m5pJ4+Y0ZDJSH\nCpjRmM7PA1nAaYHVIuDVvfOmf00SJQnxVA49Ibfuj0U47EdsKYXeTg/2T0YxOxsz5Xj5WHlTsMMq\nGPL3GA77MTcXh1OQIADYN75kuufFTLmmvpjLG3oMVuopl8nseGMGg53uQ76/FsXyjLGxMXz0ox+F\n1WqFw+HA9ddff0j2uBFbt27Fs88+CwB44okncPrppzd1O+1uMZGD12XTvIZtuMeHZKaAhZj5Nhas\npTJC2639RkCgahKdyTfbrBSJZuBz2+F06Hul6Ohyf1qzDznRexqgzGG3YmQggNGZOPIFc3f3yWSL\npbpyA+tpB8M+pLPFysZcs1nunGFsPa3DbkVXh8uUbeeM6iCjpJnNgIpBs8ViQSKRqJyhjo2NHZIx\nbsSNN96Ib37zm/jQhz6EQqGAd73rXU3dTrtbjGc1rWeWcTLg6uJp7acBVpM3A5rxxbAWqdyjWc96\nZpkcNJu9plbvaYDVtgyHUChKph+sYfRQDQAYLNc1j8+a8/WpneppB7q9iKXyDdXQrgdG98mupTPg\nhN9jb6hXs+JvcM011+CKK67A5OQkrr32WvzlL3/Bl7/85brvYMOGDXjkkUcAlEZx/+QnP6n7Z49E\nmVwB6WwBIZ9y6UmruBlwdXqM0K4mZ5qn5pM4boP2x/1IEEvmkC+IhgTNQz0+2KwW0wfNRvZGPXY4\nhMuJHVoAACAASURBVN/86QD2T8UqJzFm1A79aYfCy5sBzdhRJtVGWc7+Lg9e2hvBVCSJYwaDRi9H\nN+3wPFiNIAjY2OfHK/sWEE/l6mpTqxg0v/Wtb8WJJ56IF154AZIk4dZbb0VPT48qC16P5B6MWo3Q\nriaP0zZ7NmelSnmGDn2aAU5BW818pXOGPoNNqtmsFmzs9eHAdBy5fBEOA1p9tQO9Tx6ryf2y901G\n8Y7TB3W//3aRTBszQrtadds5M5KPQTtkOeUOGlORlLmC5nQBNqsAh824Ptm1jPQF8Mq+BRycjuPE\no7sUv1/xN0gkEnjwwQfx7W9/G9/73vfw85//HNksa2hr0TNoDvqcCHgdLM9YIZ7OQxD0e5Hs7nBD\nADDJmuYKOWjWa4T2SkcNBFAUJVNfhTFqfDMAbAj74HbamO1vgwxbV8AFt9Nq2nHa8jEwsq5cNiC3\nnTPZe0Wq3Ce7HTeiNlrXrBg0/8M//AMKhQK+8pWv4M4778Ti4iJuvfXW1la5jukZNAOlzYCRWLaS\nXaVShs3ntsOi0xPUbrOgJ+TGgckoRE5BA7A8DdCooJl1zaWaZgHGZDktFgFH9fsxs5g2Xf1mteVJ\naMYFbIIgYDDsw/RCCrl80bB1GKWd6mn7u5cHnJhJO/TJrkX1oHl8fBy33HILtm7dihNPPBG33347\nXnvttdZWuY4tJXQOmst1zfsmorrc35EgUWdtkpqOHuhAMlPgWPOyeQMGm1STB2yYuYNGIp2Hx2Uz\nbHQwu5iUBpsAxm9CG+zxQZLMOVgj0UY1zV6XHQGvw1SbxiVJQqo84KcdhfxOBDx2HJyu73VK8dV0\naGgIL7zwQuXfu3fvxvDwcPMrXOcWKplmfYIF+Szp9QMLutxfuyuKIpKZgi4jtKttKm8A3DvJkxdg\neYR2l0HjYsNBN3xuu+kzzUa+UR3dXxrbvN/Ex6AdMs1A1WZAE9Y1y5lmI+vKq/V3ehCJZkyT9c/k\nihAlCV5nezz+KwmCgJH+ACKxLGJ1XLFXDJonJyfxkY98BJdccgne97734dJLL8XLL7+Miy66CO98\n5ztVWfR6sqRzecbWkRCsFgFPvzKly/21u0R504fem582DZQCBDMHadXkHs1ug14oBUHA0QMBzEcz\nleEGZiJJEhLpvO4nj9UqJTImzjS3Q00zYO62c0bW9q+mv9sLCcD0gjmuSsqPv9F9steyUe5EVkeJ\nhuI72re+9a3WV2QiC/EsbFaLbme1Hpcdx20M4dX9C4hEM4bVkLYLvTtnyDaEvXDYrdg7Yd4AQSZJ\nEuajmcqmF6Mc3R/AS3sj2DcZM12rrUyuiKIoGRooBLwOdHe4sG8yBkmS2nITkNbkzg0+g7OcG8qT\nMc24GTCZLcAiCHDpPGSplv6uUl3zZCRZKa9cz9qpT3YtI/3luuapGE5S6KChmGnu7+/H/v37sWPH\njkP+Gx4eZpnGKpbiWXT6nbq+QbypHBC8sHtOt/tsV0ZNQbNZLThmKIiJ+QTS2YKu991uYqm8YT2a\nqy1nOs1XMmPkYJNqR/UHkEjnMbeUNnQdRklmSp18XAZfmnY7bQgHXRibTUAy2WblVHkTWructMnJ\nhKl5k2Sa26imvJaRvtJ7RT2bARWD5s985jP4/ve/jyeeeKLy3x/+8IfWV7kOFYoiYsmcLtMAq516\nTBgA8PwuBs16TwOsduxwCJLU2EjO9ShicLs52Yi8GdCEJTPtEjSbvYtJMlOA16VfJ5+1DIZ9SKTz\niJqsXCmZzrdNPTOwnGk2y2bAdqspX03I70SH11HXe7fibzE3N4f/+q//UmVh6100kYMEoFPnoDnk\nd+LY4RB2jS0hkc4b/kZpJKPKMwDg2I3LAx2OL39sRvImQKMzzT63Hb0hN/ZNxSFKUlsELnppu6B5\nKoYzT+gzdC1GaKeAbajHhxd2z2N8NoGgT9/3KKNIkoRkpoBOgzYkrybkd8LlsJqm7dyRkGkGSk0V\nduyNIJrMIRyu/X2KmeYzzjgDTz/9tJprW7cWy+3m9M40A8CZJ/VDlCTs2DOv+323EyOnoMlBs9nr\nmiMGTgNc6eiBANLZAmZMsulG1i5B88ZeP6wWwZTZ/lLAZmwHk2qDVeO0zSJXEFEoim1VTysIAvq7\nPJheSKEoikYvR3PJNuqTvZaNffJmwLVfq+pqOfeJT3wCJ5xwAk488cTK/+lwlcEmBpzFn3liKYtj\n9hINOdNsRLDQ1eFGZ8CJfZNR09UNVjN6GmC1o03a1cSo2v6VHHYrBsM+HJxJoFBc/wFCtVxeRKEo\ntU2GbajSQcM8QfNyaUB7HANZf5cXRVHC3FLG6KVorl06yCiRy/mUSjQUQ/8f/ehHePTRRzEwMKDO\nytYxvacBVhvs8aO/y4NX9y8gmy/CaW+PncJ6S1RqmvUvzwBKreee3TmL+WgG4aDxmVYjVILmNrgk\nWl1Te85J/QavRj/tkmkGSsfg4EwcY7MJHFV+YzKDRKXVWXtk2MJBNxx2C8ZM1HZODtjaLctZqWue\nT6Kv02PwarQld5BplzKlWiqTAafWDpoVM809PT0Ih8OwWq2H/EeHW4yXggUjgmYAeNOWMHIFEa/u\nN++gEyPLMwBg0wCHnERiGXhdtrZ4oxrq8cFmtZgv01wOFnwGPQ+qyYGy2Y5Bu9VyWiwCNnT7MBVJ\nmibr3y7DZVbqlztomKBsLNVmz4Nagj4ngj4HDs60mGnu7+/HX//1X2Pbtm2w25d/6S9/+cutr3Kd\nMTLTDJSC5v/31EE8v2sOb9qyRiX7OhZP5eB22mCzGjQ6eEO5HGAihjO3mm/jU6lHc7ptsic2qwUb\ne304MB1HLl+EwyRXYNqlPAOozvZH8Y7TBw1ejX6WAzbjTx5lQz1e7J+KYTqSqgw8Wc/atXNDdaZ5\nvTtSapqBUuu5FxX2hSn+FmeffTbOPvts1Ra1ni3FsxAEoMNnTGnAxj4/Qn4nduyZR1EUYbUYEzga\nKZ7KG5ZlBoCNvT5YLQL2miyrJoun88jlxbbYBCg7qj+AvZMxjM4ksHmww+jl6KKdyjP6ujxwO23Y\np3DZc71ZHupg/DGQDfX4AUxhbC5hiqA50aZZzp6QG1aLgEkTdNBIZvJw2q2GJbIaMdLnVwyaFX+L\nyy+/HOeeey76+vpw6aWX4txzz8Xll1+u2iLXk4V4FgGvw7Bg1SIIOO2YbiQzBewaXTJkDUZqh9HB\ndpsVw71+jM7EkS8UDVuHUZY7ZxhfzyyrznSaRSKdh8vRHm9UFkHAUf1+zCykKiULZlApkWmjgG0w\nXJ4MaJLNgO2aabZaLOjt9GAqklz3m8ZTmULb1PUrkTtorEXxFXX79u349Kc/jS996UuIRqO47LLL\n8Otf/1qVBa4nkiRhKZHVvUfzSqeVyzKe322+1nPpbAFFUTJsE6Bs00AARVHCwRlzvDFVa6dNgLLq\nXsFm0W792uVjYKbWc5XyjDY6DnJ22Sxt59p1IyBQKtHI5IpYSqzvYTPJTB4eZ/s8B9YyokbQ/P3v\nfx+PPPIIfD4furq68Mtf/hIPPPCAKgtcT+LpPApFyfCm8ccOBeFx2vDC7rl1fwa7krwJ0OjNT0dv\nKAdpE+bJbMraMdMcDrrhc9tNtREtmW6f/sCAOTcDLpdntE/A5nXZ0RlwmibT3I4lMjJ5M+DkOp4M\nWBRFpLNF+NroObCWDp9TcU+aYtAsCAJ8vuXap97e3raZ4d5OlsqbADv9xgYLNqsFp2zuwkIsq7gL\ndL0xunOGbFO5N7AZ65rlaYDt0KNZJggCjh4IYD6aQcwEI4Sz+SJyBdHQMqWVKv2yTZTtlzPN7VSe\nAZSGnCwlcpWe9utZu/ZpBoABE2wGTFU2Abbf41/Lu84YXvPrikHz5s2b8fDDD6NQKGDXrl248847\nsWXLFtUWuF7InTOCfmNLAwBUOmeYbdBJZYS229hj0N3hQsBjN1UNrWy+DTPNQFWm0wRBW7KNNgHK\nOrwOdAVc2DcZM80VsHbNclaGnMyt32BN1o4dTGSVtnPreDNg6gjqnCG7cNvQml9XDJpvv/12jI6O\nwmaz4brrroPD4cCXvvQl1Ra4Xiy2SaYZAE48qgt2mwUv7DJXXXM83R6Z5lJmswORWLbyd2EWkWgG\nHqet7TIL1UNO1rt26pxR7eiBABLpPOai638KGrAcsHmc7RUwyOO0zVCikcwUYLNa2rLVZF+XBwKA\nqXVcniGfOLbb1ZZW1Hw2//KXv8Sll14Kr9eLG2+8Uc81HZGWM83G1jQDgNNhxQkjnXhxzzxmFlLo\nbZOeuVqrZJrbYKDDpg2lfo/7JmM4/Vhz9Mwu9WjOoCfUPu3mZHKmeb8Jsv/xNg6an905i32TUfSY\nYFpmaQOUDRZLe5UzmmkzYDKTb8ssMwA47VZ0dbjWdaa5nTdiNqtmpvnHP/6xnus44hk92GSl07Z0\nAwCe322eEo3lmmbjS2QqNZwmCNJkyUwB2Xyx7UozgFIA2RtyY99UHOI6Lw9ox64NgPk2AybbtNVW\nX6cbNqtgikxzqd1Zez0PqvV1eRBN5ipT89abylTMNj4GjTK+iec6sZgoB80Gd8+Qnbq5G4Jgrrrm\nStDcBk/QkT4/BMFcmwHbcRNgtaMHAkhnC5hZ56Nr22VD7Eob+/ywCIJp2s4l0/m23IBmtVgw0O3F\nxHwSorh+TyBFSSpl+9s4yzlQ6aCxPl+Tkun27JPdipq/ye7du/GOd7zjsM9LkgRBEPD4449rurAj\nzVI8C4/TBqejPWqn/B4HtgwGsWtsCUuJrOGt8PRQqeVsg2DB7bRhQ7cPB6ZippnOOL8kbwJsz0vv\nRw904KlXZ7BvMlbZhLMetWum2Wm3YrDHi4MzCRSKYlsMXtFKrtzBpN2OgWwo7MPoTAIzi6l1+1zI\nZIuQpPaup60ep715w/9v787joyzPhY//nlky2fd93wghkBAgggiiKKi4K7jUrSJva61LT+vp6WmP\np7Wt1fect61HLPXUpa3WDRVBRJRFBBEEEQhJWBP2EBLInlkyme39Y5gh0iCETOZZ5v5+Pnw+ijG5\nkyvPzPXcz3Vfl/amlVo1WJ5x1u8kLy+PF198MZhrUbX2HjuJscpKTMeXpLD3aCfV9a1cPi5L7uUM\nux5rH0aDDpNCDn0UZcXSeNJM4wnLeU0aUjulds7w6d9BY0p5hsyrGT5mhbY6A++Ny5EWM0dPmP3x\n0CKLQifR+WT366Ch1aRZDQmb1jtoWBTc8u9CnfVW32g0kpWVddY/wmm9fU5sdqdiSjN8xo0Irbrm\nHquDmEijYvqIh9r45jYFTgPsLyc1GoNe0nxNrVkhXWQGUhgidc1Kr+X0HwbUcF2zRQXtzjKTtT3g\nxH8dKDgGg3XWpHn8+PHBXIeqKalzRn/J8RHkpkWz+1CHv1+ilvXY+mTv0dxfqA05aes+tdMcr8yk\n2WjQkZsWQ+MJM30Ol9zLGTZmhZZnQOi0/jvdH1h5MQBveQZou+2cL2FT4hMXn+gIIzGRRs22nbMq\ntFf5UJw1af7lL38ZzHWo2ulpgMpKmgHGj0jB5fZQe6BN7qUMK7vDRZ/DrYh6Zp/0pEgiTIaQSZpb\nu2xEmPSK60vbX2FGLC63hyMt2k0WzDYHYQoqU+rPe03oNT9k5nR/WmVeC7FRYcRGhdGo4bZzahms\nkZEURWtnryZv5C02BxLeMz5aod2TGEHk65yhtJ1mCJ3pgGYFdgzQnRrf3NJu9e/+aZWvR3NSbIRi\nymMGEgolM2abQ7E7OzpJIj/de01YNNpmC5R7GLO/nJQoWrt6NfsU0qzwEhmfzKRIPECzBrv6WOxO\nIkwGdAp+TxgskTQHQIeCd5qzUqJIiQ+n5kAbDqdb7uUMmx6bMkZon6koVB5H9zrp7VNmj+b+/Emz\nhnc6zTaH4gab9OeLwUENx0ANB6B8dc3HWrW522xV+GFMHy0fBrQqtFf5UIikOQD8Nc0KOwgI3pHO\n40tSsPe52H24Xe7lDBul9qYNlSEn/kOACk+aU+IjiI4wavYmxuly09vnUkXSrNUYQP+DgMpNGLQ+\nTlvpdeU+/rZzGqxrttgcRCr85z9YImkOAKVNAzzTuBG+Eo1WmVcyfJQ0Qrs/X4Kg9bpm32ATpe80\nS5JEQUYsrV29dJ/6ndESs0JHaPcXCh001JCw5fjHaWsvWQN1dM8A7e40O5zeXuVKreu/UCJpDoCO\nHjsGvU6xb1TFWXHERhqprj+p2QlQvprmaIWVZ0RHGElLjORAU7emxze3KbxHc39a3ulUQ9IcF20i\nKdbEgaZuPBq9Jswq6BqQkRSFTtLuOG1rr/JvXAASY02YjHrN7TSfvmlR9s9/sETSHAAdPXYSYsIU\newBKp5OoHJFMt9XBfo2WCfQouDdt0anxzc0a20no7/RgE2VOA+xP00mzVflJM0BBZhxmm4OTp35v\ntOb0TrNyd9mMBh0ZSZE0njRr8oZeLTvNkiSRnhRJc7tNU5taSh/wc6FE0jxETpebbksfCTHK3mHT\nehcNpZZnwOnDgFq9YYHTSbPSa5rh9GRALR5EU8NOM5wu0TiowRsX8NY0m8L0ih8Vnp0aTW+fy/+k\nSEvUEgPwdtBwutycPFXmpgVWlXQvGSzl/zYpXLelDw/KrWf2GZWXgClMz/Z9rZp8JHr6IKCyyjOg\n/2FAbSYI4E2aw8P0qthViI4wkpYQwUENlsz42mwpqV/5QLS82w9gsTlVUcuZneKtp9ViiYZaYgD9\n6ppbtfM00mJTx07/YImkeYjaFX4I0Mdo0FNRmMSJThvHNHjwo8fqQCdJirxAs1OjCDPo2H9MmwkC\nQFu3jaS4cMWWKJ2pIDMWq91Ji8Z6o6qlPCMvPQadJHHguDafvlh6HYqvpYX+hwG1lzRb7erp3HD6\nMKB23pstKqkpHyyRNA+RbxpgggLbzZ1pXEkyANvqtVei0WNzEB2hzCbqep2O/IxYjrWasdm1N0jA\n2uvAZneRHKv80gwfrXZwUEt5hsmoJzslisPNZpwubfWP97X9U8Njaa22nXO53djsLlU8+QLITPa2\nnWvSVNIsapqFAahlpxmgojAZvU7SZF2z2dqnyNIMn6LMWDweONTcI/dSAk5NhwB9/CUzGqtrVkvS\nDN4SDafLzVGNJWxqGaoB3vetqHCD5trOWVUwXKa/lPgI9DpJU23nfDXNatntP18iaR6iThUlzZHh\nBkblJXCkxezvq6sFTpcbS69TkYcAfbQ85ERNhwB9clKjMeglsdMsowKN1jVbVHQASpIkslOiOdFu\nxe5wyb2cgLGqpHOGj0GvIzUhguNtFs2cORI7zcKAOszqSZrhdBeN7RoadOJr7xSt4J1m/5ATDdY1\nt6qoR7OP0aAjNy2GxhNmHE7tJAsWmwO9TiI8TC/3Us7JdyOptS4mvgNQatnlzE6NxgM0tWpnt9ms\nohsXn4ykKGx2F10WbQxdEjXNwoA6unuRJIiNUm7C1t+4EcnoJImNO5vlXkrA+Hs0K/gFMiHGN9Ch\nSzM7CT6+pxZq2mkGb12zy+3hcIt2ygO8tf1GVRzIzEiKJDxMr7mdZrMKRmj35z8MqKEyGTWVyPj4\nx2lr5ObFHwOVXAfnSyTNQ9RhthMbFaaKXpDgncZVUZTE4eYejrRoo772dLs55SbN4N1Z67Y6/Duz\nWqGmaYD9leTEA7Cu+pjMKwkcy6mkWQ10p0aaN7db/btSWqCGEdr9afEwoC8GaqqnzTzVQaNJI3XN\nvqdeJqPyn3oNhjoyPYXyeDx09PSponNGf5dWZACwvua4zCsJjNODTZS926/VISdtXb2YjHrVJGs+\n40qSyU6JZkNtM/uPqT8mLrcba69TVXHwlS1pqUTDorJDaFnJUUhAo4bazqmxnjYz2Zs01zd2yryS\nwLD0OokMN6jiqddgiKR5CMw2B06XWzX1zD7lRUnERoWxaWezJuo5VbPTnHXqMKDG6ppbu3pJVlGP\nZh+9Tsc9V5UA8PqqfaofYWvpdeJBHYcAfbTY+s9/xkIlj6VNYXpSEyI4esKsmdIxqwrraXPToslK\njmLr3pO0d6v/aaRVJb3KB0skzUPQoaLOGf0Z9DqmjEnH0utkmwYOBPp2mpWeLOSlRaPXSezXUIJg\n7XVgtTtVV8/sU5ITz8Wj0zjc3MP6mia5lzMk/rIAhV8H/fl2mhs0sNPvo8YDUNmp0Vh6nZopHbOo\nsJ5WkiSunpiLy+1h5Zajci9nSDweD5Zep6p2+s+XSJqHQK1JM8BUf4mGuhMFON1mS+nlGUaDnty0\nGI609Ghihx/U2W7uTLddXowpTM+idQf8v0tqpJYnLv3FRZvITYtm58F2Wjo0UsvpT9jUE4fywiQA\nPvrysMwrCQyLSnsEXzw6jfjoMNbtaPLvlquR3eHC5fao6ho4XyJpHgK1tZvrLyMpihHZcew61EFr\np7p7NqspWSjK1FbHhrZudR4C7C8hxsSNU/Ix2xwsWX9A7uVcMLUdQPO59uI8PB5YrpWEzR8H9eyy\nTSlPJyMpkvU1TZqobT7d9k89MQDvU+CZVTnY+1x8tl29B5R9P3+19MkeDJE0D0FHt3pGaA/k0opM\nAL6oVfeBQLWUZwAUZp2q4dTI42g1TgMcyMyqHNITI/ls+zHVdpVR02CT/qpGppKWGMnGumZN1HJa\neh0YDTrCVNQ1QK/Tcfv0YjweeGdNg9zLGTJrrwMJiDCpL2m7rDKL8DA9q79uxOFU54h5NZYonS+R\nNA+Bf6c5Vp27bBeVphIepueL2uOqPgTVY3MQaTKoou1f0amBDlqpa1Zru7kzGfQ67po5Ao8H3li1\nT5UHovxJswqeuPSn00lce7G3lvOTzUfkXs6QWWzqrOWsKEqiLD+BuoPt1B1ok3s5Q2Kxezs36FR2\nOBm8u7OXVWbSZeljk0rnKaixT/b5kiXLuPXWW7nvvvu47777+MUvfiHHEgLCP0JbpTvNpjA9k8rS\naO+2s/NQu9zLuWBmq0M1iUJyXDixkUbNjNPWQk2zz5iCJMaXpFDf2MWmXS1yL2fQ1LrTDDB5dDpJ\nsSY+39FEt8onoll6Haqs5ZQkidunFyMBC9c04HKrc5cTvCUyat7lnFmVg14n8clXR3Cr8AZerTXl\n5yPoSXNfn/cF8bXXXuO1117j6aef/taP/79vbFPs49KOHjuRJgMmFYysPRtficb6Heo8EOjxeDDb\nHKqoZwbvG1NhZhxt3Xb/QVI1a+2yEWbQKXoa42DceUUxRoOOdz5rwGZ3yr2cQVFz0mzQ67hmUh59\nTreqOwe43R6svU7VJmy5aTFMqcjgWKtF1X38rad6BKtVYmw4E0elcbzNSs1+9e36q7FP9vkKetK8\nZ88erFYr8+bN4/7772fHjh3f+vH7jnby8rLdOF3Ku+vt6LGr8hBgfwUZMWSlRLG9vpVuq/p2eKx2\nJy63h5gIZXfO6K8oSzu9adu6eklSYY/ms0mOj+Dai/PoMvfx4cZDci9nUNScNIN36FJsVBhrtjWq\ntnOA1e7tla3mZOGWSwsJM+pY8vkB1d04AjicLvqcblXHAGDWpFwAVZYsiZrmAAoPD2fevHm88sor\nPPnkk/zrv/4r7m95DDS1IoPGk2ZWKWz3wd7nwmp3qj5pliSJSysycbk9bKpTX/2Umjpn+BSeqmtW\ne4mGze7E0utU/SHAM82alEtyXDirthzleJtF7uWcN7PNgSSp98R6mFHP1Rfl0Nvn4tOtjXIv54L4\nkwWV3riAt5vMrEl5dFsdfLxZfR1N1NjybyDZqdGMKUxk39FO1W2wWFXYJ/t8Bf07ys/PJy8vz//P\n8fHxnDx5krS0tAE//vu3lFN7oI0PNhziqksKSD81n11ux0615clIiSYlJUbm1Xhd6Dqun1bEe2sb\n2LirhbuuLVPVrmGr2fsmlZoUpYg4nM8aomLC0UnbOXLSoog1X6hDp0YfZ6fHKOr7CMRavn9LBU//\n/SveW3eAX39/siquCVufi5jIMNJSY+VeCnBhcZgzcyTLNx9h9dZjfGdWmeq6H3ScarWVkqie16OB\n3HNtGetrjrPyq6PcesVIUhLUc2Nsc3lrgJPiIxURA7jwONx5VSlP/O9GPqtuYtLYrACvavi48L5e\nZmfEqT4GZwr6K9KiRYvYt28fv/rVr2hpacFisZCSknLWj3fandw+vZiXPtzFc29t48e3j1XEG9j+\nUwfnwg06Tp6Uv+Y6JSVmSOuoHJHC13tOsLnmmL/DgxocbeoEQA+yx2EwMchKiWbv4Q5q9jSToZAb\nwcGqP+ittYsO08v+s/cZ6nXgU5QWxZiCRLbvO8nKjQcZX3L21yil6DLbiQo3KiIWQ4nDleOzWLrh\nEO+v3stVE3MDvLLh1Xjc+/RI53HLHoehXgs3Tc3nb8v38NLiGr53Q1kAVza8jp56gqfDI3sMYGhx\nyIgzkZcWw8baJur2tZCWEBng1Q2PtlODiuy2PlXG4NsS7KCXZ8yZM4eenh7uuusuHn/8cZ5++ml0\num9fxsVlaYwuSKTuYDubdyvjVPvpdnPqLs/wmeabELhDXYc/emzqK88AuG5yHk6XmwWL6+jtU1/d\nIHgPAYI2OmecSZIkvjNjBHqdxFur6+lzKHuCo9vjwWJzqraeub8ZVTmYjHo++eqI6vrUqnXAzECm\njMkgNzWaL3c2c6hZPeUBp9udqT8GkiRxzaRcPB5Y+ZWySlS/jbVXfQN+zlfQk2aj0cjvf/973nzz\nTV5//XUqKyvP+f9IksS9V5VgNOh4e3W9Ikbddqi83dyZyvITSYw18dXuFux9yk4Q+vMNNlH6CO0z\nTRyVxoyqbJpaLbz6yV5V9gX2TQPUYtIM3qmZV12UQ1t3L8s3Kbu202Z34vZ4NJE0R0cYmT4ui05z\nHxtUNnhJK/W04O2ffccVxQAs/LRBNa9RFo0lbFWlKSTHhfNF7XHVHNY39zoJM+gwGtTbWexslD8N\n4pTUhEhunJJPt9XBe2vln1jkT5pVfhDQR6eTmFqeQW+fiy17Tsi9nPOmxoOAPrdPL6Y4K47NL3La\nJwAAIABJREFUu1pYs019I1O1Mg3w21x/ST5x0WF8vPkIJxU8bl7tnTPOdNXEHAx6Hcs3HVZVv2A1\njtD+NqPyExlblMTeo51sr2+VeznnxXfjopUewXqdjpkX5eBwulmjkgOyVpX2Kj8fqkmaAa6emEt2\nShSf7zjOvqOdsq5Fa0kzwNTyDCTg8xr19Gz2J80qvEANeh0P3TyGmEgjb39aT4PKRmu3dvViNOiI\nVeENy/mKMBm4Y3oxDqebtz+tl3s5Z6W1pDk+2sSlFRm0dvXy1S713MSbNdhq6/YritFJEu9+1qDI\n1q9n0tqNC3jbMUaFG1iz7Rh2hZeKgXcqplq7+JyLqpJmg17Hd68pRQJe/WSPrPVuHT12DHqdZt6k\nwNujtiw/gYbGLtW02uqxqbM8wychxsQPbhyN2+PhhSV1qpqG1tbVS7KGejSfzaSyNEqy49he36rY\n8cJmqzpHaH+bWZNy0UkSH206rJqpaBab9lptZSRFcdm4TFo6bHy2XflPxKwaKpHxCQ8zMH18Fmab\nQ/ElS26PB5vdSZTKOt+cL1UlzQBFWXFcPj6L421WPpaxzrDDbCchJkxzCcOlY09NCFTJNKgeq4Mw\ng07VUxlH5Scy+7IiOnrs/GXpTtxu5ScIXWY7ZptDs/XM/UmSxF0zS5AkeGN1vSJ327S20wzem/jJ\no9NoarWwfd9JuZdzXrQ61OGmqQVEmPQs/eKg/3tUKotdezvNAFdO8JYsrfzqqKLfI2y+AT8aei3q\nT3VJM8DsaUXERYex7MtDsuyIOl1uus19mjkE2N+4ESlEhRvYWHtckcnBmczWPlXWM59p1qRcxo1I\nZvfhDhavPyD3cs5pXbW3hGdsUbLMKwmO3LQYrhiXTUu7lY8VOKFLi0kzwLWT85CAZV8eVsVBNEuv\nA71OIlzFN/EDiY0M4/rJ+Vh6nSxT+KRM/26/xm5c4qLCmFKezolOG9sUfBPpK48R5RkKEhlu4O4Z\nJThdHv6xIvidB7otfXiAhFjt7bIZDTomj06n2+pQxcz7HpuDaBWN0D4bSZKYd90oUuMj+OjLw2yv\nV+6LosPpZs32Y0SaDEwpT5d7OUFz87QC4qPDWPrFQQ4eV1YLLq0mzRlJUUwYmcLh5h52HmyXeznn\nZLE5iQo3aO4JJMCMqmySYsP5dGsjJxR8KNZ66sYlzKjK9OZbXT0xFwn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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -163,7 +166,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 6, "metadata": { "collapsed": true }, @@ -174,7 +177,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 7, "metadata": { "collapsed": false, "scrolled": false @@ -183,18 +186,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 27, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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BI0aM4OOPo2uWP/3003Yf/3W5ubnU1tZSUxP9wvZXv/oV69ata7l/2LBhfPjh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sAN/4xjcAePnllwHYtWsXX/va1wBwuVxMmjSJkpLD+weYpglEkrV/+Zd/ASA1NZUpU6YA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\nv43RaGTq1Kns27cPf39/d5OFA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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -212,7 +215,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": { "collapsed": true }, @@ -223,7 +226,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": { "collapsed": false }, @@ -231,18 +234,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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MaGrs2LEsWLCA2tpaVq1axSOPPMIRRxzhx9jSl2FAXl5z3VVdHbjUvsMJwooS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\nnXcAqK2t5bLLLmPq1KnO1xCJRNi0aRNz5sxh+vT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6Jb6lpaW0t7f3+7pOdTX28BGYrS39/m5CRERERPKI4xBdnJmKNHQ/cNi/Pmnfe6Qffvhh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\ndvSI8UXNuX4t9qNHyv25HhePp3cfPH0HoNevj3PTRpzr1+DIOIBr5XJ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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -250,8 +253,8 @@ } ], "source": [ - "total_cloud_cover.plot('r', linewidth=2)\n", - "plt.ylabel('Total cloud cover' + ' (%s)' % fm.var_units[var_name])\n", + "total_cloud_cover.plot(color='r', linewidth=2)\n", + "plt.ylabel('Total cloud cover' + ' (%s)' % fm.var_units['total_clouds'])\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", "plt.title('GFS 0.5 deg')" ] @@ -260,12 +263,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Instanciate forecast model " + "## Instantiate GFS forecast model " ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": { "collapsed": false }, @@ -277,7 +280,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -289,7 +292,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 12, "metadata": { "collapsed": false }, @@ -297,18 +300,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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C6sIN1IbqEo/7emEb257T2ADGDneHFOhwURERERGRjvS5sPODrX/Brq+jamtu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TAMjNzeWCCy7g+uuvZ+XKldTU1IRnYuTBRIyjDkdjM/aoiGCHIyIiIiLSKzpb2fGHr7/+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ObnpTBqEWzb5gvfuMorr0xxHAUPCuGonx/68aOM7u4BqAy2evr66R2K8NP/4mGe/to1rl6c48mv\nXGHqTpJ3/NChyubJNV4YDdXh4dQ/AJpGtGDysyM/9/+3d9/RUdX5/8efd1p6IQYSEpKQBNJokSIo\nEA2yCOpvBeSnIKKiZ9d1xbqLjVCkiKu7y4JghxUVQxdpUmLofenFhAQhpJBQMklInUz5/hEzEooC\nTnKH5P04J+eQyZ2Zz70v7p37ns/nfi6265x5yGSuZmvuHs4qGZzXZTD9yAz8D7bhsY4DiAls5fB2\n3qo2bTmJFjAbNETeRLFwK1H0WjBZyC8ovanC6ND/cjh+pAALNk5pFZ4f0pF24Y1jmyXeEcoX+/Lw\ntCmk/3iW9p1aqt0k4WwsNZN03EhhVDuDnGd8ZzR6x0zq4tXtDkr3/o+SXTtqJsBSFPTNHT8LpFxj\n1LQ4TWFks9mYMGEC6enpGAwGpkyZQkjI1Yev1TdXnQuuuuvf4fW3/TJkyD02jqBRL/2uoqiWR7v2\nNT1HH/yH4s2bqL5wAc/OXXGPjkYfEHjLTMzg62lAY/ICzrDqp/XsPLPnmsvabFBlslBeZaaiyoxW\no+DuqsPNRYf+Jm8md7lqs5WKKjPllWaw6An1DOX2oBi6hkZi0DW+Wbiuxmqz8fWadE4cPEPbnyen\nDIv0o8+Dsbi66akuvEBFejrlaccA0N9Wc9KnN+jo82AMQaG+bF2fQfrhfM7mldDzwXAu6ArYnlfz\n4Rfg4BnpABSNBkOLAExn8ujm6Ydr6PVPJT2sd282HTpG8uHVXND+xAVdBjOOZnLboQge63g/sYHq\nHGucycm0c2iB4Dbq9XpYysupyDxORXo6prxcDMGtcI+OwbVN2zq3Ofi99G46bCYL58/f+L2MTp8s\nZPsPJ2r+rVH48//vSLtGVEg293XD4OcGhZXs+1+OFEbiChprTWHUzPf698mLtdN038RNXa/Fo0PN\ncLqqrFNAzRd4v/fapUtVW6o5VXKa0xXZgBRHTYXTFEYpKSmYTCbmz5/PwYMHmTp1Kh9++KHazbou\nruERALjHtaspihw4h75HXDuCX3yF3A/+Q/nRI5QfPQKA1scH96ho3KJjcIuKwdCypdMWSoqi4Kdp\nSRHHMVYZMVYZf/tJAD/XKKXVgGMmkKpLW/NzzJTDsVPb+fqEDg9LC0I9wrg9KJo7wto2ykLJarPx\n5YpjnDt2lsCfh851uyOQNobzFC34kor0NKrPXTLLoqJgCA655FeFVrFexLl6cTSlEOOFcpZ/dYgz\nYUcx+ueAAuHe9dMrqA+oKYyqCwpuqDACiGsZwqSWz/JjfjbJh9ZwXptJoe4EHxz9AL+DkQzrMIB2\nQU2zNzP3TAmaymqswN29wxvsfS3lZVQcP07F8XTK09OoOp1V8+3Iz8oOH8K4ZjVoNLiEhuEeHYNb\ndDRubaLQurv/yiv/OncvF8qKqyguqrih5xUZy1m1+DAABQo89UhH4hpRUVTrjjtCObDmOBfPlWGq\nMmNwcZpTBaEys9mKBhug4Ovz25NKAZjyz2DKyUbj5oZH3O8fRldL4+KCR8d4Sn/ujTL8zmF0Jks1\np0qy7Nefnyw5jdlqxv9iJIFEO6LJ4hbgNEe7vXv30rt3bwA6derEkSNHVG7R9fPo2InWk99F36JF\nvQx1c4+No/WkqZQdOkB5ehoV6elYiou5uGe3/WJGrZc3btHRP584xGBo6VwXmYd6hpF/uCf97wqk\nua8bpwsukn22lJxzZVSb684O1czLhZAWnrRq7kmFyUx2QSnZZ0upuuxu7N7uekICvAgN8CSkhRe+\nP8+QU1RmIrvgIqcLSsk+e5GS8rpVlYteS0gLT0IDPLHqKsgo+okLllwwlFGuzSOtOo+0rB1885MW\nd0sLQt3DiA+KpntYFC4OGgKgFqvNxhcLDlJ+0oinouCimIgv2Y3nvEwunUxd4+aGW9so3KKi8ejQ\niSpfd46cPfTzB8YJzvw885wSpSUoK45m50MIPtmRtpZ29OgbTnTziHppvyEgkDJq7hF2s2IDQ5gY\n+CfSC3L55uBqzmkyMepPMOvHmTQ7EsHQdgPoENz4bmz6a7ZsOYmCAp4Gbmt28wXHb7GUllKRcZzy\n4+lUpKdRlX26TiGEVotr63Dco2NwaRVCZfZpKtLTqDx1kqqff4xrvwdF+aVQiorGLSoKrfuVk4Fc\ni7ePK2U5JZRfvP57GVVVmpk/dx9YbJQo8EgjLYoAunUIZMe647hZYceu09ydUD/7s7j1FJdUoqBg\nAfS66+tFsfcW3d4FRefY006vbt3shdGN3sOoymwirTCDzKKfOG78iayS05htdc8zgj1bEnxbKOU5\nDmuycHKKzUnuJJqUlMR9991nL4769OlDSkrKNWdGmvPB1oZsnlOx2WzYTCYs5WVYy8qwlJeD2Vx3\nIa0WnZsbVueIl2qzFdNlhU0tRaOgtf9ouFbHl9Vqw3LJD5etW22P2RX/pZVLX19Bo7n6G1htNswW\nMxabFStW4Mptp9zi90S2oqVSVzP007/0NHFnt6K3mqg2aDEGeVMY5IMx2IcSfw/4eTsVVRXbrx2q\npdfoCPdpTVvfcNr6RlKd7cK29ScwV1vx9HbB169+Tq7NRiOmM3koOh3KDQxX1SjKNfcFq9VKlaUa\nK7/8/7zVc75RVRpfLBoXQqt20Mx280Xnr3GpNON5voxL9z6rRqE4wIvCIG8Kg30oDvTCcpWp4LUm\nC775JfjlltAsrxifs6X24TxQs6de9PfAdJ03nCymOadce6GxVuFqLbqu55gVV0xaH/SWi7Sp2ohB\nY/7tJzkhjUbBav3tz4V8JZwCl3h01nIM1osN0DJxK7ChpULnj95SSlz1+ut6jvf5MgyVZvY+EMt5\nB3+ZoKm2kDhnNzqzlbSercmKv76JdSotVWSX5mKxXnrcVwjyDLTfuiXSNxxPvQfph/NJXZXGuH/9\nP4e2XTgnpymM3n33XeLj4+nfvz8A99xzDxs3blS3UUIIIYQQQogmwWm+Fu3cuTObNm0C4MCBA0RF\nRancIiGEEEIIIURT4TQ9RpfOSgcwdepUwsMb7iJgIYQQQgghRNPlNIWREEIIIYQQQqjFaYbSCSGE\nEEIIIYRapDASQgghhBBCNHlSGAkhhBBCCCGaPCmMhBBCCCGEEE2edsKECRPUboS4OYcOHeK9995D\nq9Xi7++Pyw3c8FI4juSgPslAfZKBc5Ac1CcZOAfJQdyM67tNuHA6q1evZsmSJQwfPhyNRoPValW7\nSU2S5KA+yUB9koFzkBzUJxk4B8lB3CzpMbpFHThwgJiYGAwGA0uWLEGj0WA2mwkICFC7aU2K5KA+\nyUB9koFzkBzUJxk4B8lB3Cy5xugWYLPZOHfuHG+88Yb9sczMTH766ScyMzN57rnnKCoqYvLkySq2\nsvGTHNQnGahPMnAOkoP6JAPnIDkIR5LC6BagKAq5ubksW7aMZcuWAdCzZ09WrVqFn58f7du3Z+TI\nkTRv3pzt27er3NrGS3JQn2SgPsnAOUgO6pMMnIPkIBxJCiMnVV1dTXV1NQBFRUWkpKQwcuRIpk2b\nhslkIiEhgfj4eLKzsyksLKS0tBSDwUBMTIzKLW9cJAf1SQbqkwycg+SgPsnAOUgOor7INUZO6Isv\nvmDu3LkcO3aMNm3a4O/vT3V1NcOHD+fo0aPs2LGDxMREYmJi2LVrF2vXriU5OZm2bduSmJiIoigo\niqL2atzyJAf1SQbqkwycg+SgPsnAOUgOoj4pNpvNpnYjxC8OHjzIxx9/zLhx4/jmm28A6NOnD7ff\nfjsAhYWFDBo0iDlz5hAZGUllZSUnTpzA29ubkJAQNZveqEgO6pMM1CcZOAfJQX2SgXOQHER9kx4j\nJ5CXl0dpaSkeHh6kpqai0Wjo378/kZGRFBQUkJaWRocOHTAYDLi5uVFSUsJnn33Go48+ik6no0WL\nFvj4+Ki9Grc8yUF9koH6JAPnIDmoTzJwDpKDaEhSGKnIarXy6aefMmPGDE6dOsWmTZsYMWIE06dP\n5/7778ff3x+TycTJkydp2bIlt912GwA9evRAq9USFxen8ho0DpKD+iQD9UkGzkFyUJ9k4BwkB6EG\nmXxBRYcPH2b//v18/fXXTJ48mePHj1NaWkpCQgKzZs0CoGvXrmRmZtpvTmaxWAAYMmSIau1ubCQH\n9UkG6pMMnIPkoD7JwDlIDkINUhipKDMzk4SEBFxdXSkoKMDd3R0/Pz9GjhzJ5s2b2b59OxkZGVgs\nFsxmMwBarVblVjc+koP6JIOGd/nlpZKBc5Ac1CcZOAfJQahBp3YDmoqKigrc3NzqPJaYmIiXlxda\nrZbS0lL8/Pzw9PTE09OT0aNHs2XLFvbt28fIkSNp3769Si1vXC7NwWazoSiK5NDATCYTer0eRVGw\nWq1oNBrJoIEVFxfj7u6OXq+3PyYZNLzy8nLc3d3rPCY5NKySkhL0ej1ubm6YzWZ0Op1koIJz585x\n+vRp+7VCIPuCUIcURg1gxowZZGVlER0dzYABA+wzo/j5+dmXWbFiBQkJCQAsWLCAP/7xj/Tt21eV\n9jZWM2bM4KeffqJt27YMHTrUPh5Zcmg4aWlpLF26lCeeeIJWrVqh0dR0WksGDeejjz5i69atdOjQ\ngS5duvCHP/wBkAwa2vTp00lLSyM2NpbHH3/cvv0lh4Zz9uxZJk2aROfOnRk5ciQ6Xc0pkWTQsD78\n8EO2bNnCU089ZS+KQHIQ6pChdPVs+fLlnDx5ktdff53q6mqWLVtGeno68MtQFrPZzN69e8nLy+P5\n55/nyJEjWCyWK4a6iJuXkpJCVlYWb775JoWFhcybN48ff/wRkBwaQu02PHDgAOvWrePQoUNUVVVd\nsZxkUL9Wr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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -317,7 +320,7 @@ ], "source": [ "for varname in cloud_vars:\n", - " data[varname].plot(fmt='-', linewidth=2)\n", + " data[varname].plot(ls='-', linewidth=2)\n", "plt.ylabel('Cloud cover' + ' %')\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", "plt.title('GFS 0.25 deg')\n", @@ -325,31 +328,28 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": { "collapsed": true }, - "outputs": [], "source": [ - "## Instanciate forecast model " + "## Instaniate NAM forecast model " ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "# initialize NAM forecast model\n", "fm = NAM()" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 14, "metadata": { "collapsed": false }, @@ -361,7 +361,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 15, "metadata": { "collapsed": false, "scrolled": false @@ -370,18 +370,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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mssUb2sJOF5Ud6N/moqHWJnY278btcKeqTqn7uTzMPuIMAFZU/5nvXHo8Y3K9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tTz/9NFdeeSXFxcVMnDjxsN57ZoY80ogUj3DELPvVZp4lL9nLaIhVq23I1Dqj\n3TVeVBVy8rVxdrdVdwK7QUtDdIeFS1A68QaDoIuiKhL59tSYL3Q3CavuBFmyj2hMwRuItHGEQNC3\nSfQwkgzxHn1GKxElypqq9Yd0vuPGFHPx1CGowN+WlHUovfzrsn18XVaF0SBzzYVHtptxEY5F2Nyw\nFYDReS1tupviNGmLlL6Ir2NvQCAQHJTRo0ezYcMGYrEYqqqyZs0aBg8ezPHHH8+qVatwuVycfPLJ\nlJWVsWnTpqRgaY3hw4fz/fffA7B06VJeffXV5LZhw4axZs0aALxeL5s3b6Z///6YTCZqamoAKC8v\nT55nw4YNAPj9frZs2QLAkiVLmDFjBq+88grDhw/njTfeOKz3LiJGB6ALajdWybH/ITLfkoM7LoxK\ndEEgKz4RlKRhhAenokoTIo6sKD7SFzFymuzgB19UTFTpZE+j1txVjpmTKz89nWhcGEWMOgzhGFnS\n/l5GHW1eKRD0JRI9jBS9Fj0+Z8SpLC57n6/2ruKk/scf0jkvOHEwVS4/X5VV8ZfFG7jjvyaT42g9\nbbu2IcDCj7Tozy9OH0FxbvtpLpsbthJRogx09GvXUTPb7IAg+BV/59+IQCBoweDBgzn66KP5xS9+\ngaqqTJo0iTPOOAOA0tJS+vXrB8CQIUPIzz94xPj3v/89d911F3/961+xWq089NBDlJWVAfDzn/+c\nO++8k9mzZxMKhbjuuuvIzc1lzpw53HPPPZSWllJUVATAqFGjmDZtGjNmzKCgoCB53fHjx3P77bdj\nsVjQ6XTcd999h/XehTA6AFNYe8gyZO0vVLfoLYScZiCAM+YGitiZoQYMiUiWwRqCaPdbdSfItjjB\nD0ExUaWVfR6tGkcfdwnsDcTccYOUAidZlS6sMe1hr94TYmBR74iKCQRdiSceMYrGFxHOGn4S72/6\nmApPJbs9e+jv6LzdrSRJXHXOaGobg2ze3cjjizdw6+VHYzLqmu2nKCrP/bOcQCjGUSPyOWlCx67V\n0TQ6gFyrExogrHRNjyWBoC9zySWXJH++6qqrWmx/9NFHkz83NVJoi4EDB/LSSy81e+3BBx9M/vy/\n//u/LY45+eSTOfnkk1u8PnfuXObOndvstdLS0sOOEjVFCKMmqKqKOawVcdtymkdapJxswIXBr63A\nV1R7UVQVOcNqGhKCTdH7NGGUpohRvjUL6iCsiokqndTEa+ZMUsvGiD2VRMQoVpQHlS4skf0RI4FA\n0BK3Pwx9byNSAAAgAElEQVRylBhRDLKBLJODKUVH8VnlSlbuXc3PHRcd0nkNepnrfjaOP76yhp1V\nHp5dWsb/XDKumSPl+1/vZPPuRrLsRq46Z1SH6wCTwihvVLv75tuzAYhIop+ZQJAOIpEIv/rVr1p8\nv4cMGcK9996bplEdGkIYNcHnD2GJRlABW05es23GvHxgO2qDi5wiEy5PiGpXoEMpAd1FNKZQWaOl\n0vlU7eExHVbdAAUOrWdOVExUacUV0KIrFl3vEUaJiJG+Xyl8uwVzSBNELtHkVSBoFbcvnKwvchrt\nSJLECaVT+KxyJav3fcslw87FoGvbNvtgOKxGfjdzAve/spZ1m2tZ/OlWfn7acAC27XGz5IvtAFx9\n3ugOp7rW+OuoDtRi0VsYfBCb7gRFDi3DQ5HFPUAgSAcGg4GFCxemexhdQu8oOugiGmvqkYCAScJx\nQDNMa2E8/N/QyKB4uk6mGTDsqfURjakU5JhoDDUiIZFrzk7LWArtWgqfohOr+OkkYV+bsJ7vDSQi\nRtb+A1EkMIWiyKoiehkJBG3g9keQDNr3I1GvM8DRjwH2UvzRAN/VHF6vlJI8G/9zyVh0ssSHqyr4\ndH0lwXCUZ5eWEVNUzpoygLFD8to/UZzyei1aNCp3RNId9mAU2J2oKqCPEIoIExaBQHDoCGHUBG+N\nVo/hN8stij1z8kqJyqD3hxiUq616ZVqj14TxQkmxjIpKtikLvZyeoGCO1YqqSEi6GJ6gSKdLF96o\n9hnNMvWe2ptExMiZX0rApN3CrLEg9SKVTiBoFY8/DAcII4DjS48BYOXe1Yd9jdGDc5lztlYP9Oq/\nfuLxxRuodgXoX2BjxslDO3Wu8rofATiyA/VFAHqdDimmzctVnsZ29hYIBIK2EcKoCb76eHNXs4z9\ngBX2fFseXqu2cjXIHLfszjBhlBhPTp42vjxL+vrWyLKMFNMciqrcDWkbR1/HH9NcAXOt6YkcdjWq\nqibtunML+uM3a7cwW9RPg1cII4GgNZqm0jmM++e2KUUT0ct6Nrm2UBuoP+zrnDShlHOOG4iiqvxY\n0YBep1lzG/TtR30SRGIRNrk0m+4xeR0TRgC6uMFMtcfVzp4CgUDQNkIYNSFUH48YmWScxubCKM+c\nh9uu/bqK4nnMFVXeZOOpTCARwbI4tAkwXfVFCRJOaNVesYKXLsKq5gpYYOsdwkgJ+FGjUSSTGavV\nSciqRURteKl3hzLq+ygQZALRmIIvGEVuJWJkNVg5qmAcAF93QdQIYMbJw5g8qhCAWacPp39B59J4\ntzRuJ6JE6G8vJcvkbP+AOAZVa1Rb68usBUuBQNCzEMKoCaGGuA2wWcZxYCqdOQuPTXsIM/jrsVsM\neAMR6jOkrkFRVSqqtVQ6yaSlrqXLkS6BQdImqjqfEEbpIhoX8cWO3iGMEtEifdxOX7Fr5idZOh+h\nSIxAKJa2sQkEmYgn3sPIYNEyCZwHpNWeUDoFgK/2rkFRlcO+nixJzL3oSB75nxM57ej+nT5+vxtd\nx6NFACZZm29cfjHfCASp5Prrr2/x2qJFi3jyySc7dZ4nn3zysG22582bx+rVXbOok0AIoybE4tbG\nIbMB4wEOPbIkE8vSnL281XsYWKStgmVKnVG1K0AoHCPHYcIT1SaG/DRHjMyS9tBaH3CndRx9FUVR\nUHSaMCrJSu9noauINmqfbZ1TW0mWndr3MEenpQwKZzqBoDkev5ZBoDclUumaC6Ph2UPJN+fSEGpk\nY/3mLrmmJEltNnttj7JO9C9qijXuvNkQ8h7SdQUCQcd4/PHH0z2ElCLsupugxCMbUWvrzTCl3Byg\nlkBNFYPGOijf4WJnlYejRhZ04yhbJ+GQN6jIQV1QSwlMd8TIZrDiAtxiokoLNV4PkqxCTI/d3Dsa\nvCYjRnFhZMzOBiqwq/t7GfXrZOqOQNCbcceFkWRM2HU3F0ayJHN86RSWbvsXX+1ZxZGdjNR0JXWB\neqr81Zh1ZoZmDerUsXaDDWLgCWfGYqVAcLiU33c/rrXfduk5cyYdzZi7bj/oPu+++y6ffPIJwWCQ\n2tpa5syZw4oVK9i8eTM333wzd999N1988QVr1qzhgQceIDs7G1mWmThxYpvnrK+v59Zbb8Udn8MX\nLFjQbPuCBQtYu3YtkiRx/vnnM2fOHG677TbOO+88pk6dyueff86yZct48MEHee2111i8eDEFBQXU\n12u1kTt27OC2225Dr9ejqiqPPPIIRUVFh/Q7EsKoCbq4tTG21h+sjPkFwGai9XUMKs4sy+6E8cLA\nIjtfx4to88zpM18ANAOLCHgjQhilg72NdQDIMUuaR9J1RN2JiJGWSmfJ0yyArdEA6BDOdALBAbh9\nmiBS49HjA4URwHElk/nnto/YUFuOJ+xtZtDQney36R7eIZvupjhNdvCDL+JLxdAEgj6Fz+fjhRde\nYNmyZbz88su88cYbrFq1ipdffjm5z7333stTTz3FwIEDueeeew56vqeffprTTz+dyy67jPXr1/P9\n998nt3366adUVlby5ptvEo1Gufzyyzn22GNbPU9dXR2vvPIK77//PgAzZswA4Msvv2TChAn8/ve/\nZ/Xq1Xg8HiGMugJjSCtUT6xGH4itoAQAyeVmYLyXUaKuJ90kUvpKC0x49njRS7pOFa6mgiyTAyLg\ni/jTOo6+SlU8NTRRlNwbODBi5MjTirzN4SCYtIiRQCDYj9sXAVSikhZVPdBYCCDblMWYvCMoq/uR\n1fu+5bSBJ3XzKDXKDrG+CCDb4gQ/BBXRHkLQO2gvspPSa48ZA4DD4WDoUM1u3+l0Egrtn2Pr6uoY\nOHAgAEcffTQVFRVtnm/79u1ceumlAEycOJGJEycma5K2bt3KpEmTANDr9YwfP54tW7Y0Oz5hrFRR\nUcHIkSPR6zX5Mm6cZh4zc+ZMnn32Wa6++mqcTic33HDDIb93UWPUBFNY+4Obs1uPtOQUDkCRwOAN\nUuAwYDLqcHlCyRW5dKGqajJy5cjRis9zzTnIUnr/vLlWTTwGVSGM0kGtTxNGZtma5pF0HfsjRpow\nyok3XjYFte+uqDESCJrj8YdBF0WVFMw6E0adsdX9TijRTBi+3Ls6Le6OUSXKJpf2MNTZ+iKAPKt2\nTwipQhgJBIeLJEnt7lNcXMy2bdsAmkWAWmP48OFs2LABgNWrV/Pwww8327Z27VoAIpEI69atY8iQ\nIRiNRmpqagAoLy8HYNCgQWzevJlwOEwsFku+vnz5ciZPnsxLL73E2WefzXPPPdfJd7wfETGKEwxF\nsUY0gWPLa71Dd769gCqLjNOvEHO5GFhoZ/PuRiqqPIwd2vGu3l1NvTuELxjFbjEQkbUIVrrriwBy\nrVq6U0RMVGmhIahFV2z63lNzE4ubLyRc6fKLB+ACLEHNeUuk0gkEzXH7w0itWHUfyNj80dgNNvb5\nqtjhrmBIJ2t8DpetDTsIx8KU2orJMXfeRbPQrt0TEpExgUCQGhKi6Z577uHmm2/G4XBgs9nIis/L\nrXHNNdcwf/58lixZgizL3H///bz33nsAnHzyyXz99dfMmjWLSCTCueeey+jRo5k5cybz589n6dKl\nDB48GIDc3Fx+/etfc9lll5Gbm4vNppmujBs3jltuuYWnn34aRVGYP3/+Ib8/IYziNLo8GBSFiA4c\nttYjRvmWXLbYdDj9CpHaGgYVOdi8u5GdaRZGifqiQUV26hPGC2muL4ImE5UsVvHTgTtehHywh6Ge\nRjSeSpeoMcorKGWTBOaQgkxEpNIJBAfg9kWSwuhAR7qm6GU9xxZPYsWuz1i5Z3W3C6Oy+h+BQ0uj\nAyh0aHOeohP3AIHgcLjkkkuSP0+bNo1p06YBMGrUKJ5//vnktvHjx7N48eIOnTM3N5dnnnmm2WvX\nXXdd8udbbrmlxTFjx45lyZIlLV6fMWNGsraoKa+//nqHxtIeQhjF8dRohgV+s4yjjdoci96C32GE\nmgie6j0MLBoLwM6q9NYZVSSNFxzUBXcDmRExKnJqq36qLoSiKMiyyNzsTrxRH+gh25zeWrOuJJYU\nRtp70ukNhEw6LMEYNrkRl7v31FMJBF2BFjFKONIdPHp8QukUVuz6jLXV65kx4gLM+kOz3D4UNtb9\nBHDIrng5ViuqIiHpYniDwV7jxCkQ9CR+85vf0Ni4v5eYqqo4nU6eeuqpNI6qcwhhFMdXW48FCJhl\nSg8yeShZDsCHp3o3g8YcD0BFmp3pklbdxQ7WJx3p0i+MHGYLakyHpIvh8vvJs/eelK6eQDCmCaN8\na9vh7Z6EqqrE4jVGeuf+9xSxmrAE/Tj1HipD+QTDUcxGcWsTCCBeY2SJp9KZDh49LrYVMTRrENsa\nd7KuegPHx5u/phpXsIE9vn2YdEaGZg0+pHPIsowUM4EcpMrTgN1c3LWDFAgE7fLEE0+kewiHjVjC\njxNwaYXqfpN8UKtSOVcL1wdrqinJs6LXyVQ3BPAHo90yztZIOOMNLHJQG9SEUX4GRIwA5Ji24ljl\ncaV5JH2PsKSZXiRSTHo6SiCAGo0imUyEFZnP/vUT+/Y0oti1KFGeIdHkVaTSCASgLSY0TaXLwkz1\n66/ijRdMt8bxJccAsHJv13aTPxjlcTe6I3JGoJcPfVFDr2hRompPQ5eMSyAQ9D2EMIoTbtBWogNm\n+aDpBqZ8zR44Vl+PXifTv0Ar/NpVnZ6oUaMvjMsTwmTUUZBtpi6QqDHKDGGkV7WJqsYrJqruRonX\ndpU4e4cwahot2vpjNWXr9vD1f7YhObVVcEdcCAphJBBoBEIxojEFvUkzJ8nbXEXDx8v56dG/oCpK\nq8ccXTgek87ItsYd7PNVd8s4E/2LDrW+KIFB0hZJ6vyN7ewpEAgErSOEUZyIW3twD5h1mHVt5ybb\ni7ReRnKDVuuQ7kavyfqiQjvBWJBgLIhJZ8RmyAyLZmN8oqr1udM8kr5FIBwGfQRVlSh09o5UumiT\n+iKPWxM/7oYghvj7s8aEMBIImuLxa7VFerMmjKxe7f+BXbvxfbe+1WPMehOTCicA8FU3RI1iSowf\n6w/dprspZkmb9+r9mdF4XSAQ9DyEMIoTi/d8iVjMB/VvzynSnHqMniCqoiQbvabLgKEi6UjnoK5J\nfVFHPOi7A0u8h05jUExU3ck+txY5lKIm9J3sIJ+pNI0Y+eLix+sOYs7WHCHNYc2mV1h2CwQa7rgw\nkuOpdMYmPffqP/hnm/2Kji/V0um+2buWmBJL6Ri3Ne4gGAtSbC0kz3J40e3EgmBjSMw3AoHg0BDC\nKI4U0FajVdvBIy35ziJ8ZhlZUYk2NDAoLowSAqW7aWq8kKgvygRHugQ2g5Zq6A6l17mvr7GnUfss\nJHLuewNNI0YJYeRxB7HmFABgCmmpgyJiJBBouH1ahEjVa98JvXd/s+3gtm0ENv3Y6nFDnAMpthbi\niXj5oW5jSsdYXq+50R1uGh2A3aClwXsjvsM+l0DQV3n33Xd59NFHm7124403Eo22XUs/derUw7rm\naaedRjgcbn/HNgiHw5x22mmHNYYEQhjFMQS1G6nsOLhrT7YpC49NW4EP1FTRv8CGLEnsqfMRiqR2\nZa01Kqr2Gy8kIkb5GVJfBPv7ZngiQhh1JzXxCKhRyoyUyq4gETFqKoxCwSiWrCIATIEQoOJyi75Z\nAgEkIkYqUSn+nXBr9+GcSUcDUL/sn60eJ0lS0pFu5Z5VKR1jWd3h9S9qitOkCSN/VAgjgaAreeSR\nR9DrU+f2erhZTqqqdlmmlPC0jWMKaxOHMfvgoXydrCPkNENdhMZ9O3EeMZqSfCuVNT5213gZVtp9\n9Rz+YJTqhgB6nUxJnpUvt8SNFzIoYpRlskMIAjF/+zsLuoz6ePGxVbaleSRdRzTeG0GflYVv6/6V\nJdWkfecswRjkhkXESCCI4/FptYZIKja9FSX+HRp4xWwafijHX15GcMd2zIOHtDj22OJJ/GPrB5TV\nbaIh1Ei2qevntoZQI5XevRhlA8Ozhx72+XItTvBCQBHzjaDn8/rz37BlY9caoAwfXcjs/z623f3W\nrVvH1VdfjcvlYtasWTzzzDN8+OGH7Nu3j1tvvRWDwUBpaSmVlZW88sorhMNhbrrpJvbs2UNOTg6P\nP/44Ol3rafyffPJJsq/RmDFjuPfee5NpvZWVlcyfPx8lbg5zxx13cMQRRzB16lS++OILAObNm8cv\nfvELjjzySG666SY8Hg8DBgxInv+1117jH//4B7IsM27cOG6//fZO/Y5ExAiIxhQsEe1hypab1+7+\nWi8j8FTvAWBgYSKdrnujIgknvP4FNvQ6uUmNUea4kOVatUacQTFRdSsN8Rz7RGpJbyDR3DVmdRIJ\n74/OhmTNEt4aVJCMAVFjJBDE0Zq7xnsYGezJxQXrgP5kn3Iq0HbUyGG0Mz5/DCoqX+9dm5LxJZq6\njswZjuEwbLoT5Nk08RZRA4d9LoGgL2M0GnnhhRd44oknePnll5PRmD/96U/MnTuXl19+maOPPjq5\nv9/v58Ybb+T111/H7XZTXl7e6nljsRh/+MMfeO6551i8eDGDBg1i3759yfMvWLCAq666ioULF3L7\n7bczf/78FudI7Lto0SJGjhzJwoULmTVrVnL7e++9x1133cWiRYsYNmxYUmR1FBExAtyeIJZIFBWw\nZbcvjHS5ucAeQrWakh9U7OCrsn3d7kzXtL4IoC7Zw6j999Bd5Ns0YZRM5RB0C96wB3SQZXKmeyhd\nRkIYhfVWYP8iRDCmQwUsIRW9yY+3PkIkGsOg7x2mEwLBoeL27+9hlBczgaKgszuQDQZyzjybhhX/\nxrvuW8J792AsKW1x/PElU1hf8wNf7V3NWYNOQZa6di21rItsuhMU2jVhFJXFfCPo+XQkspMqxowZ\nA0BBQQGBQCApRrZu3cpRRx0FwKRJk1i6dCkAWVlZlJSUJI8JBlv/DrpcLrKzs8nJ0Rbwr7766mbb\nt23bxuTJkwEYNWoUVVVVLc6REDo7duzglFNOAWD8+PHJVL8HHniAF198kd27d3PUUUe1aTLTFt0e\nMYpGo9x4443MmjWLK664gu3bt1NRUcHs2bO54ooruPfee7t7SLhrXEhAwCTh6MCDpLlAq2lQ6jUh\nMqhIW5XvbgOGnU3qixRVSUaMcjMoYpRoLhoTE1W34otpOfa5lt4jjKLxGqOg1NxQwu+PErUakYA8\nU9yy23voRZwCQW/B7QsjGbTvQl7EAIAuSxMP+uxsnCdOBVWl/oNlrR4/Ju8Isk1Z1Abq2NKwvUvH\nptl0bwbgyC4SRkXObABUXbjTq8QCgWA/bdXrjBw5km+//RaA9evXt7v/geTl5eF2u3HHFzr/+Mc/\nsmHDhuT2YcOGsXq11iZg48aN5OfnA5p2CAQChMNhtmzR7P2HDx/OunXrACgvL0+aQ7z55pvce++9\nLFy4kLKysuQ+HaXbI0b/+c9/UBSFRYsWsXLlSh577DEikQjz5s1j8uTJ3H333Sxfvpwzzjij28bk\nqa3HBPjNMrkHae6awF6krazJDZowGRBPpdtd49Wa6em6R282tep2hz1E1Rh2gw2z3tQt1+8IRQ5t\nElZ1YaKxGPo2ck4FXUtI1QRCni07zSPpGlRVTUaMgkrz25bPG8Jpt4E/jFP2sQ9wuYMUZlvSMFKB\nIHPwNEmlyw5p85I+e/89Iefsc2n87D+4v/mKvIsuwZDXPNtAlmSOK5nMhztWsHLPakbmDOuyse1w\n7yIQDVBoze+yLAeH2YIa0yHpYjQG/OTYek8qsUCQThLC56abbmL+/Pn8/e9/x263YzAY2ty3rfPc\nfffdXHPNNeh0OsaMGcP48eOT22+++WbuvPNOXnzxRaLRKA888AAAV155JT//+c8ZMGAA/fr1A2DW\nrFncfPPNXH755QwZMgSj0Qho4m327NnYbDaKi4ubnb8jdLswGjx4MLFYDFVV8Xg86PV6vvvuu2To\n7KSTTmLlypXdKoz8dQ2YgIBZxmk8uCsdQE7JIEKAyR1AVVWsZj2FORaqXQH21vkZUJj6m3EoEmNP\nnQ9ZkuhfYKPCVwFklvECgMlggKgBSR+h2uumNCtzolm9maik5diXOHvH71sJBFAjESSTCX9IC4vb\n7EZ83jA+b5hspwOqXdgULVImDBgEAi1iRIH2XbAHtO+NvonBkLGwEMeUY/Gs+hrXRx9S+IvLW5zj\n+LgwWl+zAX/kIqyGrllwKE+40R1mU9cDkWMmVJ2ffR6XEEYCwSFwySWXJH82Go18/PHHyX+vX7+e\nBx54gAEDBvDWW28lo0YJYwTQHOwOxrRp05g2bVqz11asWAFAv379ePHFF1scM3fuXObOndvi9T//\n+c8tXps5cyYzZ8486BgORrcLI5vNxu7du5k+fToNDQ0888wzrFmzptl2j6d7U9LCDZq1sd8k4+hA\nxKggux9bDBLmiErU48bgzGJgkYNqV4Cd+zzdIox213hRVSgtsGI06DLSqjuBrJhQiFDtdglh1A0o\nioKiDyIBJb3k952IFumdTrxx0VNQ4sC3uQ6/J4TRmY1CBeZwPJVOCCNBHycaU/AFoxjjqXRWv2ZY\n0jRiBJB7znl4Vn1N4+f/Iff8C9A7mqff5lvyGJkznJ9cW1hTtZ6T+h/fJePbX180qkvOl0Cvmong\np8bjZnRxl55aIOjzlJSU8Lvf/Q6LxYJOp+P+++9vdb8NGzbw0EMPJaNHCTvtc889t5lRQibS7cLo\npZdeYtq0adxwww1UVVUxZ84cIpFIcrvP58PpbL8uIifHir6LiqtVvybEAmaZwSVFyHJ7qXAOvrPr\nMbsiSME6Cob1Z8zQPNb8WE21O0hBQftRp9bozHGrN9cCMHJgDgUFDoLV2kr5gLziQ75+qjBKFoJ4\nCUrhjBtbR+lJ4652NyLJCsR0DB/YO54MGqt3AWDOzSUa0h7whgzPZ8fmOoKBKDklxdSxAVNIE0aB\nqNKj/ma9FfE3SB91jVrUWG+OoALOqEIUyO6v3ROSf5uCMbinTMK1ei3hrz6j5PJftDjX9COm8dPX\nW1hds5YZR5112GNrCLrZ5anEoDNwwvDxGPXGwz5nArPORoR6/Gqgx37+euq4Bb2fyZMn8/bbb7e7\n3/jx41m4cGE3jKjr6XZhlJWVlXSOcDgcRKNRxowZw6pVqzjmmGP47LPPOO6449o9j8vVdfbPAVcN\nAGGLibq6jjWGCzut4Gpkx6ZN6AuHkm/XbuybdtRTU9P5iFdBgaNTx5Vt0YRRUbaFmhoPFbX7ALAo\ntkO6fioxYCEIVFRXZ9zYOkJn/zbp5odKTURIMXOPGvfB8FRon2/FaqM+/h21ObVaOndjADXeP8wY\nDIEcZU+1t9e8955KT/ve9DYSNaiyMUQMUOq0mtigXjMvafq3sZ8+HdfqtexZ+j6maaejszRPlxti\nGo5Fb2Gbq4Jvt21igKOlg11n+GavVrw9Insoja4Q0HURXhNmPMCe+roe+fkT35vMRQjWvkG3u9Jd\neeWVlJWVcfnll/PLX/6Sm266ibvuuosnnniCWbNmEY1GmT59evcOyq+l6SjWjudOKzlaVMtXXQlo\nznAAFdVelE5aAx4KO5PGC1raXsKqO9NqjACsshWAhqC42XcHVR6t0a9RtaZ5JF1HLO5Ip3c68Xm1\nh6icPCsGo45oRIG4LbzWyyiIyyNcEAV9G7dfS6FT9dr3RfZoCwq6VtJrLcNHYBl5BEogQOOnn7TY\nbtQZmFKkWfR+tXfVYY+tLEX1RQBWvdbU2h0W841AIOg83R4xslqtrRZLpTPkpgvGo0T2jtcG6XNz\ngV2EarRok9NmJMdhwuUJUe0KUJybuofSaEyhsma/VTdAbbK5a+YJI5vBBgq4Q93bALevUuvTRIRJ\n7j3CKGHVLTmyCFRGkCSw2o04nGbqa32ETdr3wBpQkPJEk1eBwOOLgKSgSCEkJNREnV52606Vueee\nR+VPm3At/xfZZ5yBbGie3nZC6RQ+q1zJ6n3ruGTYeRh0Ld2oOoKiKl1u090Up9EOYfCGO5b9IRAI\nBE3p9ohRJmKKF2wbnVkdPibRy0h1uZKvDYqLlFQ3et1T6yMaUynMsWAx6YkpMRpCjUhI5Jozz545\nYWjhiwph1B24AvHu9jpbmkfSdSTMFyJm7TtqsRmRZRl7PJ0uKGvpQdaggmwM4vaGicZEHxNB38Xt\nD4M+DBI49FbtOyRJ6Nuo4bUeOQ7TwEHEGhtxf/lFi+0DHP0YYC/FHw3wXc0Phzyune5d+KJ+8i15\nFFoLDvk8bZFl1uZhf0wII4FA0Hn6vDBSVBVzWFtdtuR1vJeCo1DzUU/0MgIY2E2NXiuqmkeL6oMN\nqKhkm7LQy90eBGyXnHiT0UAskOaR9A0a4ykkHbGe7ylE48IoZNDEnt2hCSKHUxNEIbTVbWtQwWzX\nis0bRZNXQR+maXPXgpgFVBWdw4Gkb32OkCSJ3HPOA8D14QeosViLfY4vPQaAlXtXH/K4yuribnQp\nSKMDyLVq801IEfONQCDoPH1eGHn8YaxxVzxrTseFUW7JEADMTWoZkhGjFAujtuuLMtOaOTlRqV1n\nmCFom0RkLtvUvrtjTyFRYxSStTpAmz0ujLI0YRSIyqgSWEIqRrP2nRSW3YK+jLtJc9f8sJb21rSH\nUWvYJ03GUFREpLYGz5qWtURTiiZikPVscm1Jpm93lvK4TXcq0ugA8uP1hhFJCCOBQNB5+rwwcru8\nGBSFiA7sto4Li9y8UiI6MIUVQl5tNXtQcdyAocqLmkIDhoqkMNKuV5fB9UUABTYt/SkqiYL47iAQ\nb3KaZ+t4amimk4gYBVTtAc/m0CJEiYiR3x8BqxUJsKIJw3phwCDow3j8kaQwyglprS3aqi9KIMky\nudPPBaB+2fst5jGrwcrEgnEAfH0IUSNP2EuFezd6Wc+InGGdPr4jFNq1eTwmiYURgUDQefq8MPJU\n1wFaDyOnqeOpR3qdHn/cort273YAchwm7BYD3kCEendqbsqKqrZIpavNYEc6gCKnNlEpspiouoOw\nqrM+it8AACAASURBVK2UFtoyr97sUFBVNVljFIhqtyzbAal0fm8YXbx2whTRvh8iYiToyzRNpXPE\n1wjaE0YAzuNPRJ+TQ7hyN74N37XYfkLpFAC+2rsGRe1cHd/G+p9QURmeNQSTrut6FzWlKF4rrOpD\nRJWW6YACgUBwMPq8MPLXa+YJfrOcNAnoKJGsuA31vgpAy9FOpLelKp2uqt5PKBIjx2HCadMmlkTE\nKD9DI0Z5djuqKoE+QjAi6j5STUynCaPirMz8PHQWJRhEDYeRjEb8Ae1BJyGM7Fna/33eEMa4DbEh\n6ANUIYwEfZqmqXS2+PdGl9W+MJL0enLO1Fpm1C/7Z4uo0fDsoeSbc2kINbIx7i7XUcrrfgJSl0YH\nYDIYIGpAkqDW407ZdQQCQe+kzwujgEurXfCbZByGzgkjNTvRy2hv8rVkP6MUCaNEtCiRRgdQF9TE\nXaZGjPSyDimqibiqeK2IIDWEIhFUXRhVheJOuCxmMvt7GGXhi4udZI1RPGLk84QxZMUd64JRMISE\nZbegz6KqKm5fBOLCyOLT6mjbqzFKkHXSycg2G8GtWwj8tKnZNlmSOT4RNdrT8Z5GiqqwMV5fNCZv\nVIePOxRkRbs/7POI+UYgEHSOPi+Mwg0NgJZK19mIkT4vH4BIXU3ytUSdUaosuxORqIQDHjStMcpM\n8wUAnapNVNWehjSPpHezz92AJIEUNWHUH1qfkUwjkUana9LctWUqXQjZoQkja1BBNgVEk1dBnyUY\njhGNKeiMWoTe4NO+Cx1JpQOQzWZyTj8T0KJGB3JcyWQkJDbUluMJd6wNwy5PJd6Ij1xzDkUpsOlu\nikHVTFpqvWK+EQgEnaPPC6OoR4u2hMyGTltdWxK9jOr333yTEaPq1PTsOdB4IRQL44l40Us6sjLY\nhSw5UfnECl4q2efWPs861ZzmkXQdieaussOZjBjZ4+YLRpMeo0lHLKaixN2orEEFyRgUqXSCPovb\nrwkiOS6MdB7NEbSjwggg+7QzkEwm/GU/ENy5o/k2UxZj8o4gpsZYte/bDp2vPGHTnXcEkiR1eByH\nglHS5htXILUOsQKBoPfR54WR4tNETdRq6fSxzqL+AOga94ugwhwLJqMOlyeE29e19TSqqiYjUYnI\nVCJalGvOQZYy989plrV6rPqAyPlOJdVeTRgZsaZ5JF1HImKk2HOIxVSMJh0G4/5FDGs8rS4cN09J\nCKMGTxhFSZ07pECQqSTnnngqHW5tjuqMMNLZ7WSfdAoA9R+832L7CSVaOt3Kvas75MKa6F90ZIr6\nFzXFotPufy4x3wgEgk6SuU/S3YQc0CYM1W7r9LG5JYMBsHhCyYlBliQGFqam0Wu9O4QvGMVuMZAT\nTyWqy3BHugSJiaoxKFbwUkmdX4uuWOTeI4yijdp7Clu1h7pEGl0CW9wdMhxv/moLKphsIRRVTa6c\nCwR9CbcvApKCKkfQKxKK1wuyjM7RuayC7LOmg06Hd+0awvv2Nds2Nn80doONfb4qdrgrDnoeX8TP\nDvf/z96bR7lylue+z1eDSqWx1fPe2+PxAEnA+BxvPEBCHAzBcSCXC1wuUzhcBoewFiE2rEUSkhhC\nVgwxLF9IMDGQY4LhXkjAK1nhQCCbyZfZkHDAmMGA5927B7WkklRz1Xf/+KokdbfU6kFSl6T398/e\nrVarvlZL+uqp932f52HITMbFQ7Lp7iQXfRbstc2PIAgiZuqFkeqKzBd1nxsGAOTnjyFk4gp13Wy3\n0w0r6LUz2DVuRShbkfFCgueLACCXijeq5hGvZLKpOuIKaVbZ37xckokrRm70GoqNF2Lir20m/s3Y\nIRRdXCmndjpiGql3ONItBaIbQikWwaT9bflqqYTiU38V4Byb//aZLd9TJAVXLF8GAPj66d0zjX4c\n2XRfMHM+0srw23zjeeGGR/sNQRD7Y6qFEeccaVcMpaZL+xcWTJJgtbKMftG6vWXAsDrYq1UPt4wX\nOh3pxqNiVEiJNTd92qiGSXyFdCbB82b7JZ4xsiVxgre9YpSJ3oN2KNrr4lY6AEPLEyOIJGOYbquN\nbsEV74+9WHV3o/Ss6wDGYHzja/A2N7d8L840+u7a92D7vd9rrTa6Idp0d1LSxeefFZgjOR5BEJPD\nVAsjywmQiXJ1MqW5Az2GVxRXsWsrj7RuaxkwDNiZbvt8EdDpSJdsYTSrizXbIW1Uw8QMhDCKTwwm\ngbhiZEOc4OV2tNJFFSNPVFHTDkfA4pBXcqYjpo/OcNeSKy4Y7Ge+qJPU0hLyJ58MBAEqn/+3Ld9b\nzi7hvxTPhRO4+M+173f9+ZCHuC+26R7BfBEAzEaff3HYNUEQxF6ZamFUq1vQPR8cQKZ4MGGEkrAI\nbq63+6+PzWWgyBLWqhZM2x/ASgWx011nxWgjqhjNJ7xiNJsVzxNtVMMlFp7z2YOdBCWRWBhZvgwA\nyEaOdDHx182mBymXg8SBlOsAkk+tdMRUYpheq5Wu4IgLBsoBK0YAUPqt3wYA1O7+MoL61gt+Vx27\nHIAwYejGY40V1N0GZrQijmWXDryG/TCfE/uNx2i/IQhif0y1MKpvVMEAWBpDXj9YGKY6JwRVZ5aR\nIks4a0FUkh5ZG0zVqNZ0Uak70FIyFkuipYhz3jFjlGxhtJATV/B8Rlfwh0l8IrCUmwxhxDlvtdJZ\nkY/C9hmj2JXObLhQCnGWUQCmWSSMiKmk3mzPGOWsEMDBK0YAkD7nXGSecAm466LyxVNbvvffFi+B\nJqfwi9qDONNc2/GznW10w7bpjlmKMs1Cid7/BEHsj6kWRo0NUW05SLhrjL5wTPynsjWfZ9BBr635\nosUcpGhzMX0LdmBDk1PIqsl2IVvOixmuUKaNapiEshCeJ2YOWAFNGNyxwV0XLJVCsymqr71c6ZoN\nB3Jha5bRJgkjYgoxzHYrXcYU75vDCCMAmL1OVI2qXziF0G5XYtKKhssWnwQA+EaXqtF95R8DGF0b\nHQDM5wvgHIDiwfbImZIgiL0z1cLI2hTVFjMtoXBAYVSMsoyU2lZTgXOWBmvAsD3YFdg6XzSqK3EH\npahnwEMJTA5gWNTeMAxqVhNMDsBDCUU92UJ5r/g10UYnFwpoNoTI6WW+YDZcyPm4YhSCpSyaMSKm\nEqOjYpRqin+VmcM5l2YufhzSF16E0Gyi+pUvb/neVcdFO923Vr6LIAxat5uehQeMhyExCY+bvehQ\nx98PiiSD+eJzYtWgUHGCIPbOVAsjpyIstk1NQj6V73Pv7pSWzwUgsoy8sD1PFAuYQWUZxZWnbvNF\nSXekAwBJkiAF8UZVOeLVTCaPVcXrQfLTkPZpy5tU4vkiVpiBY/uQJAY9o265j6LI0NIKwpAjiFoI\nMzYH02xUOjLGCGIa8IMQTdtvCSOlLi5EHbZiBACz1z0bAFD5/OcQel7r9vML52A5s4i618APyj9q\n3f7jyv0IeYgLiudBH4FNdycyF/vNeqPa554EQRBtJuPs6YC4dfGBaacVaHKqz727o80vgEP0cZcb\n7TmjsxaykBjD6XITjhf0foA98nBUeermSDef8PmiGDkUG+Nag67gDYPVuhCcCtePeCWDI54vcnOi\nNTCbS3WtjsZVJDfdbqVTdQd+wFG3vB33J4hJpRG93qWUaCFjdbF3yAMQRtknXgLt7LMR1Kowvv61\n1u2MMVwVWXd/4/S3W7ffVx6tG10navQ5uNE0Rn5sgiDGl6kWRmFDnEj6+sGvZDFFgZNNQeJAefWh\n1u0pVcax+Qw4Bx5dP1w7nWn7WKtaUGQJx+baLVLjVDECAJWJ53nDJGE0DDaa4nlNs8loowOAIBJG\nni7agLIFrev9MllxYcONWmIzVtAOeaUsI2KKMJrRTI3qQvY5uGkBsgw5e/jQZ8ZYy6Gu8m+fAQ/a\nF/2uWL4MEpPww/JPUHVq4Jy3hdGI8os60aLcs02ThBFBEHtnqoURLPGBGeYOdyLpR1lGxuqjW25v\nt9MdThjFznZnLWShyO0/WXvG6HC946NCl8TzXLUGm+9ECDYtISIyyuFPgJKCH7XSOZHg2e5IFxMb\nMDjRyVDGDgFVWJeTMx0xTRimC0g+IPmY6bDqZgNqr81f9mSoC4vw1tdQ/27bbCGfyuGS+V8GB8c3\nV76L080zqLkGiqk8TuSODeTY+yEjRxmDNu03BEHsnakWRqojDBOk3MHmi1qURIuC2ZFlBHQYMBzS\nma5bsCsAlFsZRuPhQJZRIgHpDMaQgthKzRGvk7w6OcIorhg5ihA8240XYjLR7TbE/FHG5vAlC0BI\nBgzEVFFvei1HugVPvC8GMV8Uw2QZpWuvAwBUPvs/t8zwPSUyYfjGyj344YZwo/ulEdp0d5JLRfuN\nS/sNQRB7Z6qFkeaKEyZt5mAZRjHq3DwAwC+Xt9x+7pI4QT2sAUPsbNdpvBDyEJtRhtHsmFSM8qrY\nqOq0UQ2Fhiee16JWOOKVDI64YmRDnOD1qxhZgQiBzdkcYBws5ZBlNzFVCKtu8Zqfc8WFgkEKIwAo\nPOWpkIszcB55BM0ffL91+y/NXowZrYgNq4wvPHI3AOBX5h4/0GPveY2RoZLpN/vckyAIos3UCiPX\nC6C7YvPIlA43o5NdXBb/2ZZlFAuZR9cb8IPwwI/fzarbcOvweYCcmkVa6X6ymDSK6WijCmijGgZW\nKJ7XuczhhH6SiF3prEABAOR6zBjFgsl2xNXrtBOAhRwsZVMrHTFVGKYLRMKo6IgtftDCSFJVlH7z\nWQBE1ah1O5Nw5bGTAICG14TEJDy+NDqb7k5KuthvrNA8kuMTBDGeTK0wqjUcZKLgN720cKjHKi6d\nAwBQa80tbQW6pmCxpMMPOE5vHEwMOF6A0+UmJMZw1kK2dfuGNV7GC0B7o7JpoxoKLhfP62JusCdB\nR0lQExcbYmO5uDK0nTjLqNn0IOVyYBzQHQ6mWSSMiKlCZBiJvS1vi/3osBlG3Zj59ashZbKw7v8p\nzJ/+pHX7VZEwAoSNd0Y9GpfM+AKRyyk3jyCIvTO1wsioNqGGHJ4M5HOH2zSyi2KwNNv00fC6B70e\n1IDh0fUGOAeOzWeQUuXW7eNm1Q20NyqP08zHMBAzNcByYTxaK/dCbNdtWqLi2mvGKK4YmQ0HSqFt\n2c1SNrXSEVNF3fRarXQZU7jGycXBXyyR0jpmrnkGAGDzM+2q0bw+h4tLFwI4Gje6mIW8+BzwGe03\nBEHsnakVRo0NISystIR86nDD6ql5UXHKNwOsNze2fC+eM3rogHNGD8fBrovdjRfGqWK0mBebsy/R\nRjVo/CAAV8TJ0LHiZAij0LbBXRdQUzAjC+JeM0ZxxchsupDyQoALYWShUrcp5JWYGkTFSHwWaNH7\nZtCtdDGla54JlkrBvPf7sB9ux1W86OLn4uln/xp+/aynDuW4e2E5Lz4HQ5kujBAEsXemVhiZZWFc\nYGoS8qnDudJJmgZXV6GEQGWjl2X3wYTRQ12CXQGgHBkvjItVNwAsRcKIyw7C8OAzV8ROztRrYAyA\nryKtHiysOGnExgt+cR6cA+mMClnp/pElyxLSGRWcA0FeXCzQ7RBy2obrhTAdf2TrJoijpG62W+nU\nprgINYxWOgCQczkUn3Y1gK2zRkvZRTz/oudAVw6eEXhYinoGPJTA5AB1m9rpCILYG1MrjOxKFQBg\npiUUDlkxAoCgKB5je5ZRq5VurYHwAFetH2oZL2xd4zhWjHLpNHiggEkcFZOc6QbJmZpwRJTDo+nn\nHwaxVbefF66PuR7Voph4/sjV2xUjOR2FvFI7HTEFcM5Ra7Zb6SRDtHYPq2IEAKXfvBaQZdS/cw/c\n1dWhHWe/SJIEFojPjFWjesSrIQhiXJhaYeTWRMXFSsvQlcOfTLIoy8ha37oxFLIplPIaHDfAWmV/\nV638IMRj60JAnL2tla5lvjBGM0YAIAXi5PUMbVQDZa0hnk8VkyOM/Mh4wc2Kq93Z/O6VsLjNztXE\neyVrh+CqeM+RMCKmAdsN4AchmOpC9ULAccBUFVLmcCHmu6HOzqJw1VMAzlH53GeGdpyDoITiM2Gt\nUetzT4IgCMHUCiOvIYSFp2sDCZ+L54z8zfKO7517wKDX0xtN+AHH4oyOTFpp3R6EAapODQwMs+nx\nciBTuDhx32jSRjVIyqZ4PnUp2+ee40Ns1d0SOj2MF2LiOSNHFieBOQfgkgfIHgkjYiowTBcAB1Md\nZCPDEmVmZugBq7PXXgcwBuPrX4NfrQz1WPtBZWK/KdN+QxDEHplaYQRTnHQFmcFcYc8uCGe67VlG\nAHDOAYNeYye7c7bNF23aVXBwzGhFKJLS7UcTi8ZiYWQc8Uomi4olns+scvi20KQQO9I5shB7/YRR\nXDFymPi3EGW4sJSNTYMMP4jJp970ANkHpBAlR7iYDmu+qJPU8jHk/ttl4L6Pyuc/N/Tj7RVdEhdJ\nNi3abwiC2BtTK4xkW4gOlh/MFfbi0lkAAM2w4IVbB71bFaN9CqP+80XjY7wQk46u5lftg5lREN0x\nPPF8Fg5pJJIk4oqRHQmdXo50MXGrnR1GYbBR2CtlGRHTQq3DkW7OUwEMx6q7G7PXPRsAUP3KlxA0\nkjFDmlHE/m44yVgPQRDJZ2qFUcoRYZhqYTCbRmphEYCw7N60t7YSxI5yD52p78s2uC2MtjvSjed8\nEQBkWxsVCaNBYvpiyHo2XTjilQyOljCKhE7/VjrxfcsXbUOaJS5QsJRNwoiYCjod6doVo9EIo/S5\n5yHzK08AdxxUv3hqJMfsR14V+03DI2FEEMTemEph5AchdE+cKOmlwVRd1DnhnFVohtgwt84ZlfIa\ncrqKpu1j09jbCVrIOR6JW+m2CaONMXSki4kzo7YH4RKHww7F8zmfLR7xSgZHK9zVE0Knv/mC+L5l\ni9kK1XTBQh5lGZEwIiYfw2xXjAq2eN+MShgB7apR5Qv/jtA++vbVQjSf2PTMI14JQRDjwlQKo4bl\nIeOJq2p6aW4gjyllMghSClI+x+bm6S3fY4ztO+h1ddOE4wUo5TUUsltPCOOK0fwYVoxmNPE8WAFt\nVIPEY8J9bSE/fq+JXgRGDRyAGQmd3B5njJpNF1I2C8Y50i4H0yxskjAipoB60wMiYZS1AgCjFUb6\nxY9D+oILETabqN39lZEdtxezGSGMbE77DUEQe2MqhVHNsKB7PjiAbHF+II/JGGtlGdXXHtvx/XP2\nGfQaGy9sb6MDgHLUqpfEilFgNuFVersSlTKiomGHtFENklAWV2ePF8Zv7qwXvmEgkFT4PoeiSkhp\nuxuN6FkVjAFW04MUtchm7BCy5sByfFgU8kpMOLWOVrq06QEAlBHNGAFiH5z9rd8GAFT+/d8Qet7I\njt2NuWi/8TgFvBIEsTemUhjVN6pgACyNIa8PbiZDmhUnpfbG2o7vdc4Z7YW4snTO0k6XsfaMUfJO\ngh+95R146M/+uGcbxUJObFQ+O/o2i0mhbluA7IOHDPO5yTBfCB0H3HHgaOL9mc31t9WXJAl6VF31\n86ISnLFDSJo4Kao2qGpETDb1DvMFNXq9j7JiBADZS56E1Imz4FcqqH7h30d67O0s5sXv7ku03xAE\nsTemUhg1ynG4qzRQF69WllF5Z5ZRq2K0trch0Id7GC84gYu614DCZBS1ZA3ah44D55FHENo23NUz\nXe+zFAmjgDaqgbEShRVLQRqSNBlv6Xi+yMuLim4/44WYeM7Iz4oToqwVgis2wEJqpyMmntaMEeeQ\n66IqL4/ArrsTJkmYf/7/AQAo//NdsB9+aKTH72QpEkZcdhCG4ZGtgyCI8WEyzqL2iVOpAgBMTUJO\nHVzuS3bxOABAqhg73OcWSzq0lIxK3YHRdHd9HM55q7K03XghrhbNpkuQWLL+fN5au1Lmbax3vc9C\nXggjLrvwg2Ak65p0zhhCGCnhYDK5kkAr3DUrTur6zRfFxM50Tlq8zmb9FMAAptqo7NH4hCDGlbrp\ngakuUh4H8zwwTYOUTo98HblLnoTir/8GuO/jzAdvR+gczXsvl06DBzKYxFExqX2bIIj+JOvMekQ4\n1UgYpSXk1MzAHje7sAwAyDS8HS44EmM4d3FvQa+bhoOm7SOnq5gtbD0hLCfYka6zSuRtbHS9j6aq\ngC9mQdYaFLo3CNabQhhpbHCv5aPGr0UVo0jg9HOki4krRm5k01vyxFwS02xU6lSlJCYXPwjRsDww\n1UHWEtURZWambwvqsFh44YugLi/DXTmN9U/+45GsAQCkQOyhq/Xes68EQRAx0ymMDNHq5uopyJI8\nsMdVo1a6fDPAht27na6fM13nfNH2Ta1sRcYLCZwv8tZW2//vUTECACkUVzDXDNqoBkGc6q7Lgwkr\nTgJB1ErnRAKnX7hrTKtiJIvXWN4R7x+y7CYmnYblAeBgqotcLIxGaLywHUnTcOw1rwVkGbUvfQGN\n7/+vI1mHwkUlfb1RPZLjEwQxXkylMOKmOOkK9MG2GKhzYuC7YAbYiFreOmkZMKzuPmfUa74ISHjF\n6ExHxWi9e8UIAFQunvf1JlWMBkHNFq+X/ADbQo+aVrgrE6+V/c4Y2Vz8m7VFSytL2TRjREw0RtMF\nFA9gvCPc9WgvoKXPPQ/zz30+AGD1jr9vVYJHicaEMCqbFCpOEER/plIYSdEVdp4b7BV2OV9AKEvQ\nHY5ybXXH91sGDH2c6eL5olhIddJ2pEugMOqoGPm7VIw0SWxUm+boN8lJpOGL10sxnSwzjsPgx8KI\nqwD2I4zE/WxffLRplrALZhpVjIjJRswXidf4rCtaSEftSNeN0rOuhf74X0JQN7D64b/fMX87bNKS\naDGuWnQhjiCI/kylMFKdyK2nMNgTSSZJCGeEmGl0yTI6NpeBIktYq1ow7d6ZKu1Wup3CaCOqGM0n\nsGLkdc4YlTd6boB6vFHZdAVvEJhBEwAwqxePeCWDI26lszzRCrdXYZSJKkZm5G+iNMVcEUvZJIyI\nicbosOou2uJ9kwRhxCQJy698NaRMFs0ffB+1L39xpMfPRnPEhrM3R1iCIKabqRNGIedIu+JkKT2E\nTUMuRVlG6zuzjBRZwlkLokr1yFp3UVBruqg2XGgpGYulrS5jnPOOGaNkCaPAbCKo18FSKUjZLLjn\nIejRNpGN5kbqTnOUS5xYnCjVfSF79CdBg8Kv1RBCgu0BjAGZrLqnn4sFlGWKCw+saQGcQ9IsNCwP\nrkdOiMRkYnSEu+aiFlI5AcIIANTZOSy9/L8DANb/8eNwTu+8cDgs8lEkR90jYUQQRH+mThiZto+M\nLzYPfWZu4I+vzS8CAMLNnTNGQP+g13i+6JzFHKRtxgtN34Qd2NDkVOsqWFLwVkUbnbq4BHVBPAe9\nDBgKmngOmj5tVIPAl0SA6bFC8gw5DkpgGHAUcWEgk03tOZ9JzwjHQ9v2gUweCEPoDgfTbAAcFQp5\nJSaUVoYRAN0ULaRHPWPUSf7k5Sg85VfBPQ9nPvh3CD1vJMed0cTspRWQXTdBEP2ZOmFUbTjIuEIY\nZUrzA3/87OIxAIBca8APd7bLtZ3puouCXY0XOuaLjsqCtRexVXdqaQnqvHheewmjUlr8brRRHR4/\nDMBlcTJ0PEEnQYfFNww4SuRIt8c2OgBgjLWc6fyieB3OuAogBYDsoUrtdMSEUm96QCSMUlFW3lG6\n0nVj8SUvhbqwAOeRR1D+50+N5JiljGgxdkJrJMcjCGK8mTphVK82oIYcngzkc4M/kdSiakm+GWDT\n3mlHHQueXllGvYJdAaAcPV4iHemiilFqabllW94ry2g2I2a7HE4b1WHZqBtgEgd8FZnU6IMch0Ho\nOOCODTclrvTuRxgBbWc6LyfeJ0tR8C3TyJmOmFxarXScQ6mLi05JmDHqRErrWH717wGShMrn/g3N\n+3449GPOZ8V+4zHabwiC6M/UCaPmhqi6WGkJeW2n+Dgsypy4Sp1vdrfsPmshC4kxnC434XSZd3g4\nqiTt5kg3n7D5IqCjlW4PFaP5rLiC59NGdWhWoiyoOBtqEoitut2seJ3vNcMoJr6/p4uTwjlffE1Z\nRsQkE5svpF0OFoSQdB2Str/3zijQL7gQc8/53wAAZ/7HBxE0httSvZQXnwOBRAHPBEH0Z/qE0aYI\neTM1CfnU4HNfWllGzbCrMEqpMo7NZ8A58Oj61g3BtH2sVS0osoRjcztniDaSnGEUWXWnFvtXjJai\nWZhQckezuAlmtS5ezyrX+9xzfPAjRzo3ctnL5lP7+vlMdH83uvAx44pMF6bZqBgkjIjJpB7NGGXj\ncNcEt9bOXvdspC+4EEG1itU7PzxUC+/FvPgc4bILPyDzFYIgdmfqhJGzKa6wW2lpKIGYykwJnDFk\nrRDlZveKSbudbqswip3qzlrIQpF3/mlaFaOECSPOecuqW11e6hBG3X//uVwOnDNA8WB7JI4OQ9kU\nwkiXBpvJdZTEVt1O9P7M7buVTtw/Nm/IO2Iej6UsbNbpqjExeXDOYZgemOoia4qT/6S10XXCZBnH\nXv17kNJpNL77HRhf+/+GdixNVQFfmLKsNSjLiCCI3dmzMPrSl76E6667Ds94xjPw8Y9//FAH/cAH\nPoAXvehFeP7zn49PfepTePjhh/GSl7wEL3vZy/C2t73tUI/dD8cQ4sLWFajy3iyA9wOTZfBiDgxA\nY+101/u0DBi2OdPtNl8EAGU7meGugWEgtCxImQzkXB7K3BzAGPzNTXB/pwGFIslgvriqv2pQyOth\nqNpio88qkyOM4nBXRxLtgQedMbIhfk63xYkiZRkRk4rtBvB8H1Bc5KxkWXX3Ql1YwOJLfxcAsPb/\nfqxl4DMM4lbjtTrtNwRB7E5PYbS5zW76E5/4BP7lX/4Fn/3sZ/Gxj33swAf89re/jf/8z//Exz/+\ncdx5551YWVnBzTffjBtvvBEf/ehHEYYhTp06deDH70fYFFfYPX14MxnyrBAuTo+KyblL4kr4Q9sM\nGOKvu80XhTzEZpRhNJtOVouEt9a26maMQVJVcbUyDOFVutuWy9FGtWrsNKgg9k7NEa+ZOKtjlCzP\n5AAAIABJREFUEohnjGwIgbNfYRS70tmhAgBIRdbFkkYzRsRkYpguoLpgDJiNWkeT5kjXjfyVT0H+\n8ivAHQdnPvSBrhfSBoHKxX6z0agO5fEJgpgcegqjt7/97Xjf+94HyxID8svLy3j729+Od7zjHZib\nO3j+z1e/+lVcfPHFeN3rXoff//3fx9VXX4377rsPJ0+eBAA87WlPwze+8Y0DP35fLHHSFWaHlwOU\nnl8Sx9isdO2djitCj6034Adh6/aW8UKXipHh1uHzADk1i7SSrIHatlX3cuu2uJ3O7zFnpCLaqEy6\ngncY4iyomXThiFcyOHyjBg7A8sXH0/7NF6KKkSda6JSmaJ9jKRtG093yniOISaDe9FrhrkVHvG+S\nPGMUwxjD4steDmV2FvYDv0D50/8ylOOkJNFWu2lSKx1BELvTUxjdeuutOHnyJG644QZ8/OMfx1ve\n8hY885nPxFOf+lR84AMfOPABK5UK7r33Xrz3ve/FW9/6VrzpTW9CGLZPVLLZLOr17lbWg0CxxYmk\nlB/8fFGMviCEkV630fR3ZvXomoLFkg4/4Di90QQA2K6P0+UmJMZw1sLOtqjYyCGRxgstq+6l1m2t\nOaP17lWztCSEacUa3t96GrBD8fpayCb/6vBeCWo1eJKGkDOkNAVqSt7Xz8cVJjNqoeP1OiQmgaUc\ncBaiSiGvxITRGe6aj8bokjxj1ImcyWL5VdcDjGHzf34a1v0/HfgxMtF+U7VpvyEIYneU3b55xRVX\n4IorrsCnP/1pvO51r8MLX/hCPPOZzzzUAWdmZnDBBRdAURScf/750DQNq9GJNQA0m00UCv2vfpdK\nGSjK/k6YOOfQXFEByy/OY2FhOO1HwXlnYRNAvhki0GwszC3vuM9F55SwVrFQMX1ctpDHTx7aBOfA\nOcs5nDi+c0P7UVOs+0RxcWjrPijlqqgKzV10Xmtt1rknYHwDUM1a1/UW0nlUA8DiVuJ+n24kdY1x\nNseFJ44ldo37ZcVqtsJdiyW97++1/fucc8iyBNcNETAZqNcxl17GulUBS9ngsjwxz1XSoed5NIQ/\nK7eEUS66IDB/3nEUdnn+E/W3WXgy8MD/jkc/eRfW7vggLv2/3w0lO7i5yZlMEasO7TcEQfSnpzA6\ndeoUbrvtNqRSKbzxjW/Ebbfdho997GN47Wtfi9e85jW47LLLDnTAyy67DHfeeSde8YpXYHV1FZZl\n4corr8S3v/1tXH755bj77rtx5ZVX9n2cSmVnJaYfluMj44nNQ8oUsL4+nKtHdkp8oOebAX628giK\n4c7Ww+UZ0Up278/W8aTzS/j5Y6Kl7Phctuu6Hlh7DACQk4a37oNSf1iszdZnWmtzdSFuaw+f7rre\nNBOtDRv1auJ+n+0sLOQTu8ZAEsIoAz2xa9wvdrkCRxFXeNO6suvv1etvk8mlUK/Z8HKzkOvrmAuy\nWEcFLGXhgUcqWMjtzwKc2D9Jft9MGqdXjVYrnRpVRBtIwenx/Cfxb6M/4zpo9/wHnIcexH3veT+O\nveb3BvfYUStd1TQS93tvJ4l/G0JAgnU66CmM3vOe9+AjH/kITNPEG97wBnzyk5/EK17xCjzvec/D\nBz7wgQMLo6uvvhrf+c538IIXvACcc7z1rW/FiRMn8Kd/+qfwPA8XXHABrr322gP/QrthmC4ynhjE\nzswcfE6qH2oU8lroEfIKtA0WHo4MF34RCaNuxgsAUI6MF+YSZrzAw7BtvtDZSrewu2V3QcsDPmB2\naTUk9obluoDigXOGxfzkzBgFRg1O6hwA+58visnGwig/j3R9HYuBjh9DZBltUpYRMWGIGSMH4Bxq\nQ/TSycXiEa9qfzBFwbHX/B4e+oubUP/WN5C95BIUrrhqII89k84DFmAFtN8QBLE7PYVRNpvFXXfd\nBcdxtpgtFAoFvOlNbzrUQbv9/J133nmox9wLhmFD93xwANmZhaEdR5kTc0A5M8RPm+Wu94kNGB5e\nayDkHD9/VLjlxI512yknNNzVr1TAPQ9yoQBZb4eMqvNCHPYSRqV0DmgCVtgcyTonkdM18ZpgvgZF\n2l9baVIJHQehbcPJiffBfh3pYmJnOj8rLiTM+irARJYROdMRk4ZwpXOgOxws5JCyWUjq+FVFU8vH\nsPCil2DtIx/G2kc/Av2CC1vzqodhLlMAKoDDSRgRBLE7Pc0XbrvtNqiqilKphHe/+92jXNPQqJer\nYAAsjSE/RBcvSU2B57KQOdAod89mKGRSKOU1OG6AlY0mHlwRlaOzF7tXjFrmCwnLMIqrRZ2OdEDk\niCTLIuPI2XkiOpsVVzM9ToGbB+VMZHWuhHqfe44PsVW3q4vXx0GFUexM52rifT4TWRiLLCN6zRGT\nhdF0RbirFYe7JquzYD8Uf+3Xkb30vyK0LJz5+w+Ch4d3kZyP9huf0XufIIjd6SmMZmdn8fKXvxwv\nfvGLkcsNz8FtlDQ3xYmklZaQTw33d1KiKpu7sdbzPrEt9zfvW4UfhFic0ZFJ7yziBWGAqlMDA8Ns\nOllOQ+4ZIfw62+gAgElSq6XQK++07F7M0UZ1WNajTK4Umxxh5EeBv44q3hvZ/MGueseCylHFvF/O\nEbb5jLKMiAkkdqXLmUJEjIsjXTcYY1j+76+EXCzCuv+n2PzMpw/9mEsFIRRDid77BEHsTk9hNInY\nkTAyNQmFIQuj9MKi+E+lhiAMut7nnKht7qs/WBFf95gv2rSr4OCY0YpQpF2NBEdOtwyjmN3a6Zby\n0UYl00Z1UMpRBlRGGpx701ETV4wcWYi9g84YZbJCUDmSMDlJR1fSWcrCJgkjYsKom15UMYqE0RiE\nu+6GnM9j+ZWvAQCU//VfYP3iF4d6vLlcDpwzQPFge+4glkgQxIQyVcLIqQlhZKdlaPJwQ1JTc6Iv\nOm8GKNuVrveJK0a1hht93W++KHntES3jhcWlHd9rZRl1CXkt6jp4KIHJAYwoRJjYHzVHiIicOhkV\nXQDwI2FkQwibXOGArXRRpcnmKgAgZYr3GNNs1BoOggG05xBEEgjCEA3bAVM85GxRGR3nilFM9lee\ngJln/CYQBDjzodsR2gfvLlAkGcwXnwmrBoWKEwTRm77C6JWvfOUo1jESvIYQGK6ugTE21GOpUStd\nvhmg3MeZrvX1Ui9HumTOFwEdFaPl3hUjv0vIqyRJkAJx0hvPyhD7o+6KsOKiNlmOdAGT4XEZksyQ\n1tUDPU5svmD74iOO15vIKDqYFCKUXRhNb2BrJoijRFSLRBW05IjX+yQIIwCYf/4LkDpxFry1Vax9\n/P851GPJoager9Wrg1gaQRATSl9hZNs2VlZWRrGW4dMUV4qCzPBnMpRovibfDLFhd3emK+U15DpO\n/M7pIYw2EupIx32/VQ1S49bBDnarGAHtjWq9QVfwDoIZCEe/WX28bHl3wzdqrQyjbO7gFzBi8wXT\nFVfQA6OGUjSfJ9rpaLaNmAyMpnCkA4BC9LKWx9h8oRNJTeHY9a8FUxQYX70b9e9+58CPpULsNxtN\n2m8IguhNX2FUqVTw9Kc/Hb/6q7+Ka665Bk9/+tNxzTXXjGJtA0d2xBV2NgIzibhitFuWEWOs1T43\nV0yjkO0+aB5XjOYTVjHyyhtAEECZnYOU2rl2ZX73LKPYNGDDpI3qIDhcCKOF3OQIo8Aw4ChiZuqg\nxgsAkNIUKIoE3+fwmQLfqLWMS5hmoUJZRsSEEM8XAWjPGE1IxQgAtBNnYf4F/ycAYPUjd8CrHKzD\nIC2JCy6bljGwtREEMXn0neT/0Ic+NIp1jISUIzIM1OLwW4/aFaMAPzC7V4wAYbjwwwcruOBE740s\nnlFKWsXIXe1u1R2jLuyeZZSWdJgAqialfB8EXxKzWbGRxSQQGAZsWZzA5A5o1Q2Iiw6ZXApG1Yaj\nZKDU65jV4oqRjUqDhBExGcSOdACQjlpEJ0kYAcDMNc9A897vw7z3B1j9Hx/EiRveBCbtb0RaVzKo\nAqjZtN8QBNGbvp8sJ06cwH/8x3/gH//xHzE7O4t77rkHJ06cGMXaBornB9A90WeQLg3/RFLWdUDX\noQZAo7La835X/vIy5gppPOPys3vepz1jlKwTYG+1u1V3jJzLg2kaQstC0NwZ5JqJKgM1hzaq/RKG\nYcvR73hxrs+9x4ftrXSHIf55L1MCggBzUd6TRJbdxAQhMowcsJBDjUxGlMLkVJGByML7/3oV5Fwe\n5o/uQ/XU5/f9GLFJTd2lUHGCIHrTVxi9613vwle+8hV8/vOfRxAE+NSnPoV3vOMdo1jbQDGaHjKR\nTWd6ZjQnknGWkbOxAc551/ucvZjDLa97Cq564vGu33cCF3WvAYXJiRuyb1eMugsjxljHnNHOqlE+\nyphpeI0hrXByqZgNMCkEDxQU9MnJMRKtdJEwOkTFSPy8aMXzcqLSOuuLeT4R8krCiJgMRMXIRcYO\nwTiHnC+AKcmKdRgESnEGS68QZlAbd30S9sMP7evni1FER9MnYUQQRG/6CqOvfvWruOWWW6BpGnK5\nHO644w7cfffdo1jbQDFMFxlPtBlkSvMjOaYWiQKtbsH0D2ZJHVeLZtMlSCxZ7upeJIx6VYyA3bOM\nimlhNmEG5hBWN9mcjqzn5WC4tvOjJHRdhJbVCmU9rDCKnem8yJwiHzl2sZSFikHmC8RkUG8KV7pJ\nnC/aTu7S/4rir/8GuO/jzAdvR+juPZOopIv9xg5pvyEIojd9z7SlqI83dodyXbd12zhhVOpQAw5f\nBgq50bSkqZ3OdFbvOaPdKCfUkQ7YPdw1ZjdnupIuKmC0Ue2fM3UhjFSeOeKVDI4gyhdxU+J1ceiK\nUeRM52jihCjniKot02wKeSUmBsMUrnTTIIwAYOGFL4K6vAx35TQ2PvmJPf/cbFZcIHE55eYRBNGb\nvgrn2muvxR/+4R+iVqvhwx/+MF72spfh2c9+9ijWNlCaG+JE0kxLyI+oJW0vznT9KFuR8ULC5otC\n14Vf2QQkqSUAu7FbxWg+2qg8Tlfv98tGU2RxaNLkCKM43LU9Y3RwVzqgXTFyZdFqmDJdyEwGU11U\nmybCHu2tBDFOiBkjF7lIGMkTLowkTcOx17wWkGVUv/gFNL7/v/b0c4uRe6fPaL8hCKI3fYXR9ddf\njxe84AV41rOehZWVFbz+9a/Ha1/72lGsbaBYkcWnqUnIp4Zv1w20Z4x2C3ntR1IrRt76GsA51IWF\nXfvZWxWj9Z0Vo6W82MB9iTaq/VKNLGez8mhey6MgMAxwMDhMCKJBVYxspKLHr2NGEydHgWKhYVLI\nKzH+1CNXuqwVAACUCckw2o30uedh/rnPBwCs3vH3CJ3+FeDYvTM2rSEIguhGX2H0ute9Ds1mEzfc\ncAP++I//GL/xG78xinUNHLsqrrBbaQkZZTTD6nElpbBLyGs/NlqOdMkSRu6Z/m10QFsY+V0qRkuR\ncxKXHYRhOOAVTjY1Vzj5jUrkjwLfqMGV0+BgSGdUyPLhWnZjYWUHQrgHhtHOMkqRMx0x/nDOYdgW\nmBwgH3WITXorXUzpWdcidfw4groB+6EH+96/qOvgoQQmBzAsaqcjCKI7fc88XvjCF+LUqVN45jOf\nibe85S341re+NYp1DRynLoSJq6dGZmLQFkaHaKWLKkbzSasYrUXGC4u9jReAjiyj8k5nvkwqDR4o\nYBJHxSRnuv0QO/nNpJPlVHgYAsOAHVm4HybDKCYTBSZbHsAhZphmo5ZUlrKxWadKJTHe2G7Qag0r\nOGIOWClOhzBikgTt3PMAAO6Zlb73lyQJUmRWs2ocLCSWIIjJp6+n59VXX42rr74atm3jy1/+Mt75\nzneiUqngS1/60ijWNzB4Q1SM/Ex6ZMeUcjkgpUJzPdRq3UNOd4Nz3pFhlCxhtBfjBQCQ0jqkXA5h\no4GgVttxNVMKNHDZxxmjirnc5JzkDxubC8vZuczk5JX4tcFlGAFASlOgpmR4bgBfSsGv1VBK/woA\ngFGWETEBdIa75lrmC5PfSheTWj4GAPBW+gsjAJDDNHxYWGvUcNFS94gMgiCmmz2VTn72s5/h9ttv\nx3ve8x7MzMzgDW94w7DXNXAkW8xkhNnsyI7JGGtVjYLNTQRhsK+fb/om7MCBJqeQVZM1ZL8Xq+6Y\n3bKMFC6E6lqjNsDVTT4uhJPfYnZyrg4HneGu+cMZL8S0nOlkHUHdwKwWt9JRlhEx/tSbHhAJo4zp\nA5ieVjqgLYycPQqjFBNt9Bsm7TcEQXSnb8XoOc95DmRZxu/8zu/gH/7hH7C4uDiKdQ0c1RFX2NVC\nfrTHnZuHt7KCXMPHpl3FQmbv4bKd1aLYLj0p7LViBAhnOufBB+BtrEO/8KIt39OYDg/AJm1U+yKI\nDCuOF5NVSTwMItxVzEwd1nghJpPTUN204CoZ+MZahzCysGmQMCLGmzjcVQo5UpYHMAa5MD2V99Qx\nUfXx9tBKBwBpSYcJoGrVh7gqgiDGmb7C6F3vehce97jHodFojO2AfBCG0FxxIqmNuM1A7XCm27DL\n+xNGdmTVnbD5osCyEBgGmKpCKfV/PnfLMtLlDBoAKjZtVHvF8TxAccE5sFycnLYZ3zDgyKICOYgZ\nI6BdeXL1GcBawUwoHpdpNipVmjEixpu4lS4TW3UXi2BjmDN4UFKLi4AkwStvIHRdSKndK80ZJYtN\nAIZDM60EQXSn7yeorut4wQtegGuuuQbXXHMNnvvc5+KBBx4YxdoGRsPykfVFQna6NFqR0TJgMMN9\nGzDEFaP5hM0XtdroFpf2tAnvlmWUiYbt67RR7ZkzhpiXY74GRZaPeDWDY2sr3YCEUTSr5EUth3lX\nVF5ZyiLzBWLsERlGHeGuU2K8EMMUBeriIsA5vKiLYTfyarTfuLTfEATRnb5ntTfddBNe/epX41vf\n+hbuueceXH/99fjzP//zUaxtYBhNFxlXZJboxb1XbAZBnGVUaOw/y2gjoRlG7Ta6/vNFwO4Vo0Jk\nN93wmgNa3eSzYojXhcxHZyQybELPRWhZAzVfAIBMNGPkRqHOUsNEVsmASRxVq77DKZEgxol609sS\n7jpN80Ux8ZyRu4c5o2JatNKbAe03BEF0p68wqlQquPbaa1tfX3fddahGmUDjglG3oXtiMDU3szDS\nY8cVo3wzwIa1vyyjVsUoYcJor1bdMbuZL9BGtX/WI4fFFJJlyHEYRLgr4ERXdAdnviAEViy4fKOG\nWV20H3pyE03bH8hxCOIoMHaEu06vMHJWTve9b0kXF0js0BzqmgiCGF/6CqNUKoUf/vCHra/vvfde\n6PpoAlIHRb1cBQNgaQx5fbT2xkqrlS5oVYD2SpxhlDir7jjcdbm/8QIQVc0Yg7+5Ce5vPRGdzYiN\nygkpcG+vlCOjCl0ancPisPFrBnwphYApUFQJKa3v+OOeaLnSSaK6FhjkTEdMDnXTBTpb6abIqjtm\nPwYM81mx/3uc2mgJguhO37OPP/mTP8HrX/96zMzMgHOOWq2GW2+9dRRrGxjmZgWzAMy0hHNToz2Z\nVIpFQJaRsQNU6jtbyXoR8hCbljBfiEMpk8J+HOkAQFJVKDMz8CsVeJVNpBbazoYL8UbFSBjtlWpk\nPZ+LHNwmge3zRYNyYcxEFSObq9FxDJTOEcJI0ixU6jbOXpyc55GYLqpNB2yxo5VuymaMACB1LGql\n24MwWsyJ58eXSBgRBNGdvsLo0ksvxec+9zk8+OCDCMMQJ06cQC43XicS9qaovJiahLw62rUzSYI6\nOwtvfR2K0YTpmcjsIZPIcOvweYCcmkVaGcy8xSDgnO+7lQ4Q7XR+pQJ/Y2OLMFrMCWEUSnTlfq8Y\nXh2QgKI2Wuv5YRIYBhx5sPNFQHvGyPYlcEStdGlhGc9SNjapYkSMMXXbApNC5CwxKydPcSude+YM\neBjuagi0VBD7DZcdhGEIaYoc/AiC2Bt9PxU+85nP4HnPex4uuugi6LqO3/7t38apU6dGsbaB4UTD\n6k5ahSyN3sWr1U7XDPbsTBffL2nGC0GjjtA0Ien6vvIyWnNG61vnjBZbG5ULP9hfAO60Es9jxf3y\nk4DfUTEalFU3AKiqjJSmIOSAJ2kIajWU0u0soyoJI2JMCcIQZiDc1QpRAWQaZ4zkTAZycQbc8+CX\nd5/jzWpp8EABkzgqJjnTEQSxk77C6P3vfz/uuOMOAMA555yDu+66C3/zN38z9IUNEr8pWtK8zNFU\nXtTZOMso3POc0VhYde+j3UnpYdmdUlTAV8EYsFankNe94ESDwwvZyTkJGoZVd0xs5OAoGfiGgdlY\nGGlUMSLGl4YpHOkAIGOK2c1pnDEC9tdOJwXi8yWOPSAIguikrzDyPA/z0UktAMzNzY2dxS2LhtXD\n7NG4eLUsu/fhTFdOvFX33uaLYnaz7JZCMRi/WqeNai94TAijpfzknAT5hgFHGawjXUzcmucqGTFj\npInnjaUsMl8gxpZalGEkBxwpJwBkGfKYtbkPipYw2oMznRLFHGw06UIcQRA76TtjdNlll+HGG2/E\nc57zHADAZz/7WVx66aVDX9ggURzReiTlj2bTiANO99NKV46MF+YSZrzQqhjtMcMoRl3obdmt8jQc\n1LHRIGHUjzAMEcoOGIDjxWSJ5sMQGAYc5SwAg50xAtpzRo6sI6ivIqdmIDMZgephs0E28cR4Uje9\nrY50xeKeArcnkfacUf+KkcZ0eAA2msaQV0UQxDjSVxjddNNNuPPOO/GJT3wCiqLg5MmTeMlLXjKK\ntQ0Ezjk0V1xh14qjteqOaWcZhXhor8Io8RWjfQqjHq10AKBJOhwAm1b90OubdGqWBSYH4KGEoj45\nOUZixuhiAENopYsrRukCeN0HLBsz2gzKdhlVpzLQYxHEqBAZRu5UZxjF7CfkNS1n0ABQtWm/IQhi\nJ32FUSqVwqte9Sq86lWvGsV6Bo7p+NA90S6jHVH/9UFa6VrmCwmbMXKjitF+W+mUmRIgywgMA6Hj\nQNLaJ7+6nIUB2qj2wkpkJCL56YlyVApqNdhLgzdfANpZRm6UYebXaphLC2HksCYsx4c+oNwkghgV\n9WYc7hpXjJLVXTBK4iyjvQijrJLFBgcMh/YbgiB2MjlnVj0wmi6yngcASJfmjmQNamkWYAxZK0TV\nqiAId3dfC8IAVacGBtYaFE8CPAzbVt37rBgxSWpVzrzy1jmjnCpmSwyHXIL6sVoXFQ6Vj1fI8m6E\nngvfcuApOhgD9OxgZ4ziLCM3JVppA6OGWT2eM6KQV2I8qUUVo5wphNE0WnXHKKUSmKYhaNQR1HcX\nPIXoc6DhURstQRA7mQphlImEUa60cCRrYIoCZWYGEgf0po+Ks/vQ56ZdBQfHjFaEIiXnSrZfrYK7\nLuR8HnJm/0G5vdrp4o2q6dNG1Y/1aA5LY6MNKh4mgVFvOdJlcilI0mDCXWNarnSyHh3PwKwWW3aT\nMCLGk3rT21oxmmJhxBjb85xRMS3y36zAHPq6CIIYP3qedZ8+vbu7y/Hjxwe+mGFgVJsoBhy+DORy\nR9eWpszOwa9UWu1087vMDrXni5LVGtGuFu2vjS6mlzPdTLoAWLRR7YVNSwwMZ5RJEkYdVt0DNl7o\nfEwbQiD5hoHSWVHFSLOwWbcHfkyCGDaG6YLlHZoxikgdOwbnoQfhrqxAv+jinvebzRSAGmCHtN8Q\nBLGTnsLoZS97GRhjcBwH5XIZZ599NiRJwsMPP4yzzz4bn/vc50a5zgPTLG+iCMDUJCyl8ke2DnVu\nHvbPf9YxZ3RRz/uWEztfFBkvLO6vjS4mrhj520JeZzN5oAK43DrcAqcAwxXCKK9Oji2vsOoeToYR\nAGSi1jwnkMHBRCtd+jwAZNlNjC+G6QAlF7lWxShZF9JGzV4rRvPZaNaQ0QURgiB20lMYffGLXwQA\n3HDDDXjpS1+KkydPAgC+//3v40Mf+tBoVjcAzLKYyTDTEvJHKYzm2850/Sy7NxLqSOediYTR8mAr\nRgs5caXTZySM+tHwmoACzKSPxmFxGAS1dsVo0MYLACArEtK6Ctvy4MoafKPWDnmlVjpiTDHsBpjE\nkYvO76liFBsw7N7tspQTn52BRMKIIIid9J0x+vnPf94SRQBwySWX4IEHHhjqogaJXRMucHZaRkpW\nj2wdW5zp7N2FUVwxmk9axShupTtgxUiZ755ltJQXG3oo0wlqP8xQGFTMZgpHvJLB4Rs1OPLwKkZA\nhzOdLEJeZzpmjDbrJMiJ8YJzjnpkHtBqpStOuzDaW8VosSCEEZdd+MHuRkgEQUwffYXR8vIy3vOe\n9+D+++/HT37yE9xyyy0477zzRrC0weA3hMhw9eGccO0VNRJG+WaAch/L7rIdhbsmrGLUzjA6YMVo\nobv5wmwuBx4yQPZhue7hFjnheFG74WJ2ck6CAsOAHc1MxQJm0GQiweUoGfiGgZSsIiNnwSROQY/E\n2GG7AQLJhuJzpNwQTFEgZSdn7vAgpBaXAEmCt7GBcJd9JKWogK+CMWCtQe99giC20lcY3XLLLTAM\nAzfeeCPe9KY3wfd93HzzzaNY20DgpnCACzJHa2+szApRUNhDK117xig5PeM8COBFs0Hq4uKBHkPO\n5cE0DaFlIWi2HegUSQYLxAnxGYMCN3fDl4QwWi4k57VxWIY9YwS0BZej6AgM8ZkQt9PV3OpQjkkQ\nw6JuxhlGsfFCCYwN1s1x3GCKAnVhEeAcXpS31wspTAMA1mi/IQhiG329oIvFIv7sz/5sFGsZCkoU\nGsryR3s1rVUxMgOYngnTM5FRMzvu5wQu6l4DCpNR1JLTLuWVy0AQQCnNbgln3Q+MMajzC3AfexTe\nxjrkjiuccphGAAfr9RrOnz9Yq96k4wcBuOKAATheTFY18TAIV7qzAQxTGEUVIzmDwHgAnHPMZ0p4\ntPkYHDTgeAE0VR7KsQli0BjbrLqnOcOok9SxY/BWz8A9swLt7LN73k/laTioY52qxQRBbKOvMHr8\n4x+/40rUwsIC7r777qEtapCorrDkVItHKzIkTYOcywONOjJ2iA17E+d0EUZxtWg2XYI/lhOoAAAg\nAElEQVTEkhMz5UVtdPsNdt2OOj/fEkbpc89r387SCFDDhrl7xtM0c6ZeA2MA/BQ09ejm5QaNZ9Tg\nZIdbMcrEM0ZaHrziIzRNzKbjkFcL1bqDpdmd70eCSCKG6QKq0wp3nXbjhZjU8jE08Z99DRg0SYcD\nYJP2G4IgttFXGP34xz9u/d/zPJw6dQrf+973hrqoQeG4AXRPOM9oCdg4lLk5BI06Cg3RTndO/qwd\n9ykn1JHOjVoTUocWRt2d6dIsAxvApklX8HqxUhWzaXLUBjIp2A0HPCcjpclQh1S1iStGblSFDYwa\nSrEznWZjk4QRMUYYpgumushWSRh1slcDBl3OwgBQjTpKCIIgYvZVklBVFb/1W7+Fb37zm8Naz0Cp\nmS4ynhjCTBfnjng1bcvuQjNoVYa2s5HA+SLg8MYLMfFzsN2AIQ4srTmNQz3+JLPWELMwKo52Xm6Q\nhJ4HyxUV6WFYdcdk89GMUVSl9Q1jS8WoQiGvxBhRb26bMZpyR7qYVpZRn4pRThX7Td1p7no/giCm\nj74Vo3/+539u/Z9zjvvvvx/qmLTxGE0XWc8DAGRKC0e8GkCdbc8ZbfRwpktqxcg7pFV3TKtitL61\nYpRTs4AP1F0SRr0oR20fujQ57lNBffjGCwCQiWeMmPg3MAzMRrknlGVEjBvxjFE73JWEEdBZMToD\nHoZgUvdrv/lUDrCApk/7DUEQW+krjL71rW9t+bpUKuHWW28d2oIGSb1uI+OKK2rZmaMXRspc25lu\npUfFqGxFVt1JyzBaPVy4a0wsjPxtFaOClgd8wPTNQz3+JFO1RZthVskd8UoGh7DqHoEwyoqLOQ5X\nEILBN2oopX8ZAMA0i4QRMVYYpgumuy3zBWUmWR0GR4WcyUIuFhHUavA3y639ZjuldB6wACug/YYg\niK30FUY333wzPM/DAw88gCAIcNFFF0FR+v5YIqhvVpEFYGkMy/rRO7x1Zhn9oEfIa1wxmk9QxSj0\nXPjlMiBJPTeavdLKMipvgHPeMvYo6XmgCVghtTb0wnDrgAQUU/mjXsrA8Gu1dsUoNzxhJEkS9KwK\nq+nBlXUEtRpm1CxkpiBQfGxUaNaAGB8M0wbybWEkUytdi9TyMVi1GtyVlZ771WymAFQAh1O4M0EQ\nW+mrcO699178wR/8AWZmZhCGITY2NvC+970PT3rSk0axvkNhboqZDFOTUEgd/VV2pUMYbdoVBGEA\nWWoPm3POOzKMkiOMvPV1gHOo8wtghxTFUlqHlMshbDQQ1GqtFpC5jEgj92ij6kkzaAASUEofvcgf\nFMKqW7QG5grDDWHO5jQhjBQdvmGAMYaCWkTFLaNsU5YRMT7UnAYYOLXSdSF17Disn/wY7soKsk+8\npOt9FnLi+fIZ7TcEQWyl71nuX/7lX+LWW29tCaHvfe97ePvb345PfvKTQ1/cYbErQmRYaRlp+eid\nvNSola7YDBGGAapObcssUdM3YQcONDmFbBcr76OibdV9uDa6GHV+AU6jAW9jvbWhL+aFMPIlGoLv\nhROKto/5bPGIVzI4toS7DrFiJB4/hY1VwFEyW0JeK24ZNZdse4nxoe42kPI5VJ+DpVKQ9MkxZDks\nLQOGXZzplvJi3wkldyRrIghifOjrSmea5pbq0KWXXgrHGY9+fKcuBvwdXU1EKriUyUBKp6H6HGmX\nY32bAUNntSgJ640ZlFV3TDdnuuVCtFHJ4/HaOgq86OrmUj451cTDEhgGHDmeMUoN9ViZjpBX3xDz\nWosZ8VxaYR1+EA71+AQxCIIwhBU2kTXb80VJ2i+OmpYBwy7OdLO5HHjIAMWD7ZE4IgiiTV9hVCwW\ncerUqdbXp06dwsyYlO3DpjAyCDJHXy0CAMZYy4Ah38Wyu2xHxgsJmi8COq26ByWMdmYZ5TUdPJTA\npBCGRe0N3QhlUU07NpOs18dhEK10wzdfAETFCIgrRkIYzemRZbdmo0oGDMQY0DC9yKqb2ui6sZcs\nI0WSwQLxebBqULWYIIg2fYXRX/zFX+D222/HFVdcgcsvvxx/93d/h7e97W2jWNuhkSwxUM2zybE3\njg0YCs0QG9sMGGKhNJ+g+SIA8KKK0eBa6XZWjCRJghSIE+MzRmUgx5kk6rYFyD54yDCXOfp5uUFh\n1xrwZQ2SBKT14cYAxMLLUXQERg2c83bIa8rCJgkjYgwwTE+Eu5Iw6opSmgXTNAT1OoJGbzvuOCh7\nlfYbgiA66DtjdP755+Of/umfYJomwjBELjeYk7JyuYznP//5uOOOOyDLMv7oj/4IkiThoosuwk03\n3TSQY6Rc4XAmFZLj4tVZMdqeZbSR0AyjwbfS7awYAWKj8mFhrVHFxUvHB3KsSeF0Tbw2pCANqUc2\nxzhi1h0gC2QyytDbgTJRxchVc+C+j9AyMRsLI42yjIjxwIjCXXN1CnftBmMMqeVjcB56EO7KCvSL\nLup6P5WlEaCGDZMqRgRBtOkpjH73d3931xOVj3zkIwc+qO/7uOmmm5BOiys2N998M2688UacPHkS\nN910E06dOoVnPOMZB358APCDEJorWrLSCbqi1q4YBXhweyudlUCrbttCUKuCKQqUKKD2sLSF0dYs\noxTT4aOCctMYyHEmiVVDuKYp4WQNWTetAMgOv40OaJs7uJFDZWAYKBWiVroUZRkR44FhukBHK52c\noP0tKbSE0ZnTPYVRmmVgA6hYZNVPEESbnsLo9a9//dAO+s53vhMvfvGLcfvtt4Nzjvvuuw8nT54E\nADztaU/D17/+9UMLI6PpIuOLoUotQeF3aqtiFHaZMUqeVbe7tgYAUBcXe6aI7xdlbg5gDH65DO77\nLQvwtJSBCaBikTDazno0L6ex5LgVHhbu+7B88ZrKFYf/e7VmjCQhLn3DwMziBQAAlnJQrlPYI5F8\n6k13Wytdcva3pNA2YOg9Z6QrWVQB1GwSRgRBtOl5pnv55ZfjcY97HC688EJcfvnluPzyywGg9fVB\nueuuuzA3N4enPvWp4JwDAMKw7QaVzWZRrx/+g6puesh4HgBALw6m0jEI4iyjghmi6ZswPVHVCnmI\nTUuc/M6mk7PReWcGa9UNAJKqis2cc3iVtjjMREP4htO7L3xaKUftHhk5OfNyh0VYdY8mwwgA0pkU\nGANcpiKEhMCoQZUU6FIWjHGsNyjLiEg+RmS+QBlGvdmLAUNeFZ89hkv7DUEQbXpWjO677z5cf/31\n+Ku/+is87WlPAwB87Wtfwxvf+EZ88IMfxOMf//gDHfCuu+4CYwxf+9rX8JOf/ARvfvObUam0hx+b\nzSYKhf4BlqVSBooi9/z+Qxsmsq4QRsfPPxcLC8mYM3KVc/EIRJYRAIS6g4XSIjbNKnweoKDlcPax\n+aNdZAd2U5wszpx/zkCfwzPHlmBUNpH1mpiJHnc+N4NHG4DNrcT8vWKOej1WlGFUyswc+VoGRaO2\n1nKkW1ouHPj32s/P5Qpp1Gs2HEWHHjpYWMhjVi/hsWYTNc+YmOc2KdDzOXjcgIuKkSlmjBb/ywno\nB3ieJ/lvk/3lC7ECIFhb7fl7LhZm8dNNwKH9hiCIDnoKo3e+851497vfjSuuuKJ12w033ICTJ0/i\nHe94Bz784Q8f6IAf/ehHW/9/+ctfjre97W3467/+a9xzzz148pOfjLvvvhtXXnll38epVHZve3nk\noXUsBhy+DISBjvX1ZJTLOZfBVBWa40H1Qtx/+hHk/BmUIYwISlopMWsFgMovHgIA+LkBr6so2gU3\nfvYwvOPnAwDSTLQ41Zx6op6DhYX8ka9n06oBMpCRM0e+lkHReOh0SxhxhgP9Xvv92+gZFfWaDVfO\noPrYGpT1OmZSRTzWfBQVuzIxz20SSML7ZhI5s2mAzbrI2uLimhGoaOzzeZ70v02o5ADGYK+uYvV0\nGZK6MyNNl8SMc8NrJOq5mPS/zThDgnU66NlKZxjGFlEU82u/9mtbKjyD4M1vfjPe+9734kUvehF8\n38e111576Me0NsUaTU1CQUvOi5kx1jIxyDfDljPdWlP8mzyr7qiVbnlwrXQAoHSx7J7VRaXQCWnW\nYztWIBwW5/XiEa9kcASGMbIMo5hMK8tIhx/llyxlxfvRDOsIQgp5JZKN4dSheRxKAEi6DimdjJy+\nJCGpKtTFRdGuHbmqbmcuIz5LPW6PcmkEQSScnhUj3/cRhuEOa+AwDOFFszuHpdPZ7s477xzIY8aY\nm2J2xUpLyKrJGlhX5+bgrZ5BoRm0LLrXmqJilFir7sXBWHXHdLPsns+KjcoFBbxux+FCLM7nJmee\noFMY5UYkjGJnuq4hrykLtYaL2QKdaBLJxXAbyJrRfBFZdfcktXwM3uoq3JUVaGedveP7izlxIc5n\nJIwIgmjTs2L05Cc/GX/7t3+74/bbbrsNT3jCE4a6qEHgGKISYadVSCxZuS+xAUPeDFrOdGsNUTGa\nS5DxQtBoIGw2wbQ05OJgKxXqwk7L7sW8OEbAyDZ5O74kxOJyPjmvj8Pi1mpwZNE+GVdyhk3LmU5u\nC6MSZRkRYwLnHGbQaBkvkFV3b1LHRBZeLwOGxeizNJTpPU8QRJueFaMbb7wR119/Pf71X/8VT3zi\nE1u22rOzs3j/+98/yjUeCL8hWum8zGiuRO+H2LK70Azx01YrXfIqRm7URpdaWhp4+KbapZVuqSCE\nEZedrtXKacUPA3DZAQNwfIKsec2aCTAJaRWQ5dH8rTNxlpGSgW+I+bnYBZKyjIikY7sBAslG1orC\nXUkY9SS1vLtld1HXwUMJTA5gWBYK+mRlxBEEcTB6CqNcLoePfexj+OY3v4kf/ehHkCQJL33pS1t5\nQ4knysIJs8n7sItDXvPNAGW7gpCHrRmjJGUYxb3ZqaXBttEBUfaGLCMwDISOA0nTkEmlgUABk32U\nzQYWcv3dCaeBjboBJnHAV8VzNCE0DNHCktF7u0sOmmy+PWMUbNbAOcdsq2JkoWxQWw2RXOpmlGFU\nowyjfrSzjE53/b4kSZACDVyycMaokDAiCALALsIIEEYBV111Fa666qpRrWdgKFEWjpTLHfFKdqJE\nFaOSKfKLNqxNlK0KGFjrJC0JxBWjQWYYxTBJgjo3D29tFV55A9rxE+L2QAOXfazWKiSMIlYMUf2U\nwskRRQBgmgGQHp3xAtAxY6RmwX0foWUho+uQoSCQfWw0KFyYSC5xhlGWMoz60qoYrZ4BD8OuAeVy\nmIYPC2uNKi5eOj7qJRIEkUAmslcpDDk0VwyrqzPJc/HqbKUDgPurPwfnHDNaEYq0q1YdKe4QK0ZA\n93Y6lYuT//VmbSjHHEdW60IYqXyyrmiajgh4zs2MzhwlnmVyZXHMwDDAGENOFp8Ta83BOm4SxCAx\nmi6Fu+4ROZuFXCiAuy78jiDxTlJRRETZpAsiBEEIJlIYNWwPGc8FAKRnktOaFqPMzACShLTpQQ44\nfrL5MwBtd6yk4A2xYgR0d6aLN6pN2qhabEQhu7qUPeKVDA7u+7BDcREgVxrd75XWVUgSgyelEDC5\nZdk9owlhVLGrI1sLQewXw3SBjnBXcqXbnfacUfd2urQk9puqSblBBEEIJlIYGU0XGV8II62YPGH0\n/7N351FyVdf96L93rHno6llqSQghITEIIQaBQP6FIWCeiUHY4SUhtn+xE2MnDh5iJ7bBtmLwI4lj\nHA84HpIs3gLZXhhk4zz78WJAgIQlJNAASEiAAI09V3dV3VvDHd8fp251a1ZL1XWn/VnLCy8N1afV\ndercfc4+e3OCALGNBUHJsondY/XAyEP3i2zbhjY0PaW6Hc6JkTE8cWIUq+/kj1VpoXKMV1mQmBCD\nExgZpRJq9Z91soXlsTmOa1Sm04TYUSW7SwadVBLvKtVPjBJUle6UNCrTHacAQ7z+mVqo0XpDCGGC\nGxhprNdSoq3D5dEc2+R0OkVnzTu9VJHOLIzDrtXAJ5MQpume1rFOjJyH/2L9jhhhfUsAIC17p1Hx\nmTILBVRb3NzVEU9N9DJyTox6UqwgSsUqwbLtlo6HkFNVLOvgxCoSVepjdComCjAcOzBKy2xtU3Ra\nbwghTDADo1IVMY2lGiTbOl0ezbGJkyrTOTo8dGKkDTiluqcnjQ4AxI6jexml6g//tFBNUA32b5GN\nBqcYhVEsNJq7tjwwSjiV6eIw64FRZ5zNPVuuoFRuTgNrQpptXFURNwwIFsDHE+Dl1vT/8quT9TJK\nR9h6o5rllo2JEOJtgQyMlLECeACVCId01HvFF4CJkt3pSYGRl06MpjuNDgCkzqOLL2SjbKGq0ELV\nULHYiWJHIji7w0ZhUmCUbG1g1KhMN7nJa6ResluuYqxEJbuJN43XStTDaApO1ssoF2ObTTWL1htC\nCBPIwKgyyipLlSM8UrL3ynUDgJRjQUGmPJG20x71TvGFicIL0xcYCckUuEgEVqUCU2UP/21xFhjV\nrMq0fV2/0Tn2b9GVDM6DUHW8CIuXIHAW5Ejr+hgBh/cyMuqBkVMmn49UMFakJq/Em0qaQqW6p0Bs\nawMnyzBLRZjK0VkI7QkWGOk2bYYQQphgBkYFdmelGhU9Vf56MrFeeCBXYT8CkReRiXgnVapRqrtn\n+lLpOI6bdM+InRp1JtgJnxMMEMDi2aI9w4OFRE5XaYzt0MZl9j5opXj9xEiblEqXjWQAmwOkGkaK\ntHtMvEk1FCrVPQUcz0+cGh0jna47xf4NDZ4CI0IIE8jASFdGAQBazLv519IRd4w64znwnHd+HHo9\nMJKmMZUOOLqXUVeanZpZPO3aA0BF0wBRh21x6Eh5J3A+U2qRPYjEY609LQLQqEpXE+IwCiwwEngB\nUS4OjgMGStTLiHiPaVmo2WUkyk5g5J0MAy9rFGA4VmCUZhtxtlCDZVktHRchxJu88yTeRHa9OaiZ\n8G5DTDHHdv+jSg2cZaMr2e7yiCbYlgV9eAjA9N4xAo6uTNeVTMG2AVvQoBl0Cf7gOAvyOTMCkW99\nEDFd1LIBYCJIaaXGHSOR3TGy61XokiILPEfKoy0fEyEno5R1gEp1T9mJehnF5ShgiuB4G6NlKvhD\nCAloYCQ4PQmS3u37wksyhEwGnGUjUbHQm5reAGQqjNFR2IYBIZsFH53eHjNHnhjJogTOlMFxwJBC\nvSWc0wvR8m6Qfzoq9XLDyXTrv6+JO0Zx2LoOq8pOr5wCDGM1avJKvKdY1us9jKi561ScrJcRZ7KN\nkqEizXtCSAADI9u2IWvsIr+U9nbqkZNOd0tuOVYueq/Lo5mgDU5/qW5H48RoeKKXEW+xhWq4RAvV\niML+DWQuWIFR2WAfPcn21hdHkSMiBJGHyUswOPGokt0lgwJy4j3FsgZO0uiO0RSdrJeRaLPNvyGF\nmjsTQgIYGFVqJmI6u58ie3zhEOuV6S4QetEW805Z8Uap7mmsSOdwAiNjUsluqb5QOUFBmI1WWNW0\nuODN6oqnwzYMVG0JAJDqaP3mBcdxjRQ+TZwo2d2TZhsVVZQa6XWEeEVR1eonRnTHaCqkrm6A46CP\nDMPStaN+P1LfdMqXKTAihAQwMCqWNcQNFhhFMt5eOJwTI+d+jVfoA06p7hacGDm9jEZHGg+jEZ71\ntxkt0879eJUt1kkxOIGRUSo1ehgl09Obqnk88Un3jJwCDF2JepNXsQK1argyLkKOp6Rq4MQq4vU0\nVDHjnc00L+MlCVJnF2Db0IeGjvr9mMA+i8aqtN4QQoIYGKka4hq7tB/Pdrg8mhNz7tcYeW9d9p44\nMZr+wIiPxsAnk7B1HWb9AdVZqMZpoYKiswvBmXqH9iAwiwXUBHeauzomKtPFGql0uXofMS5SQb5I\n5XuJtxRUDXGzCt4G+FQKnOjNVhRe5LSdOFYBhoTI7iIXa1R8gRAS2MCI7fYmc50uj+bEROfEaNRb\ngVGjues0V6RzHNnLKCmx05GSRoFR2WT35XIeSrU8U9pYAboYAwcbsYQ7JfUnV6Y7sskrJ1cpMCKe\nM15RkayxtU3yeJq415yoAENKZptOqq62dEyEEG8KXGBUKiiQTRuGAKRS3imBfSxS+0QamVfYhsFS\n+zgOUmdrAssjK9OlZbaDpxrUaLNms3+DrqS300KnojTKTmiivAGeb21zV0e8XplOE2KNO0YxMQbB\nlsAJJgaLdN+AeMtYpdgovCB4PE3ca07UyygTZRtxziYUISTcAhcYqSN5AEA5wiMd8UdVOiOf98xl\nb314CLBtSO0d4CWpJV/zyF5G2Sj7uVVMCowMvgIA6E4HZ4dYybMHkJjk3nv+8BOjiSAoxrHd4wEl\n78q4CDmekl6aVHghOJ8HrTDRy+jowCgXZ+tNzaq0dEyEEG8KXGBUrjfErEQFRAR30nROFR+NgY8n\nYGsa9ELR7eEAALRBdr9IakFFOseRJ0btCbZQaXa4AyPLsmAJLKWrN51zeTTNoxTZA0g86t7HT+OO\nkRhv3DECgJTEUhZHyhQYEW9RdBWJcr2HEQVGU9IIjAb6YVvWYb/XmWBzXucoMCKEBDAw0hQWGGmx\n1px2nCnn1Kh2jGo5bmhlDyPHkSdGEwtVuO95jJYVcLwN2xSRjgWnj5GqsHsSTnDihkZVOmHijhEA\ntNXvGY1rlEpHvMO2bVQtlU6MTpOQTEJIpWFrGoyxwzc9utIsLdHia24MjRDiMYELjCxlDACgx90p\nAzxVTgGG2vDwSf5ka+iunBg5TV5ZcNhdz5+3hXAvVP3jbAEXTHcqt02XcpXteidcKtUNTD4xisEo\nFhuprF1x9t5TTW+c4BICAFXNhClUJzV3pTtGU3W8Rq9dyRRsG7AFDYZpujE0QoiHBC4w4qvsgcZO\nxF0eyalx0shqQ94IjNw4MRLb2wGOY3etDAPt8SRsiwMEAxXt6IZ8YTFYb3Ar2f54L5+qis4KLqTa\nEq6NQY6IkGQBFi/BMGzYNXY6OSPN5mPVptK9xDtK5SObu9KJ0VQdrwCDLErgTBkcBwyV6KSYkLAL\nXGAk1djFbiHtj74vTmU6de8+l0fC6EOtPzHiJYntgNo29LE8eJ4HZ7Id/YHiWMvG4TUj9dNPp+Ft\nUFQt1n8l2eFucZR4o5dRHEb9jl93kp3g2lIZlRo1eSXeUCzr4CSNAqMzMFGA4eheRrzFTuUHS+Mt\nHRMhxHsCFRhpuomowS5QRnzSFTxxwYUAgNENG2FV3b1TY9VqMMbGAEFoBGyt0mh2W79nJNgszSrM\nO3hj9dPPhJB0eSTNYxsGqhz72aa73E0HmlyZzinZ3R6rN3mVq8iXwp3KSbyjpGoQhCriVQvgOAgp\nb1dc9aIT9TKS6uvNiEKBESFhF6jAqKhqiOss9Ur2SQ623DsD0XPmw6pWUXppk6tjcU6L5K5ucHxr\n3xoT94xYSqEMVmxgRA1vYFSoN7hNycEJjIxSETWR/WyTGXcLShx+z4g9EKXlFGBz4OQaRoqUTke8\noVDWkDDL4ABwqSQ4QXB7SL5zol5Gzqn8aJmaihMSdoEKjAplDYl6YBTLtvbE40xkrn4PAKCw7nlX\nx+HcL2plGp1DPKJkt7NQ5SvhvQTvdGJvi/rj9PNUKMPjsDkBkq1DlNx9uJucSuecGAm8ALl+p+tg\nvfQ/IW4rKjUkdHaCKflk089rxLYcOFmGWSzCVA9v5hoT2Jwv1CgwIiTsAhUYlVQdMY3dC4hn210e\nzalLXXoZ+GgU1T1voXbo6PznVtEGnMILrQ+MjizZHa8vVMVaeHftqzZbvNvjwQmMSsPsZCbK6S6P\n5MgmrxMBeJxn9xMHqckr8Yh8RUGyXs2RAqPTw/H8Yf2MJktK7FQ+zOsNIYQJVGBUVKqIaWzxSLW1\n/uH+dPHRKDpXXA0AKL7g3qlRo/BCV+sq0jmkTicwYidGSYlVLCtp4V2oNLAGt13J4Fy0Lo2yn2dM\nsk7yJ6efc2KkHdHkNS2zQHS0Et7CH8RbxqtFJCtOc1cKjE7X8QowpGW23qiGetTfIYSES6ACIyU/\nDh5AJcIhE/PXLnv3H14HACj+/vewDXeqYWn1HkbunBgdnkqXibBd+zAvVCbPinH0poPzIKQW2PcU\nj7j/0dM4MRJih50Y5aLs37tATV6JRxRqRapI1wTH62WUjbJiFhWz3PIxEUK8xf2nkyaq5NmdgEqE\nR0x092L3VCUXzIc8YybMUhHKK9tdGYPT3FXuaf2JkZhtAwQBZrEIq1ZDW4wtVFUrnAtVTdcBUYNt\nAz2ZAAVGKrsnkUhILo8ESKSc4gtxmIWJIKg7kQMAqFZ477cRb1EMtREYCRQYnbbjFWBoT7D1RrPD\nud4QQiYEKzAqsvsp1agEjuNcHs3UcBzXKMJQXPdcy7++qaowlRK4SARCpvULL8fzjRLh+ujIpIWq\n0vKxeMFAvUoaZ0QgBqgCVbmeDpRMR10eCRBPHPuOkdPktYbwpnESb6mYKp0YNcFEKt3hgVFngmWY\nGJy7LTMIIe4LVGBkqOyytB6PuDyS05O+cjkgCFBfexX6WGvvNzTS6Lq6XQsqJ6fTdSbZQuWkk4XN\noQI7/RQtf518nkxZY++tRNb9prWSLECWBdicgIoyEYDPyLDCLZZYRq1+Z5EQt5iWBR0VumPUBFJ3\nN8Bx0IeHYOkTBWC66unKlkC9ywgJu0AFRlyZpcNYCX8+TAqpFJJLLgZsG8UX1rX0a+sulup2TK5M\n15Nmu6KWUINluX9Rv9WGVHZiJHH+fC8fT9Vkp1+pjpTLI2ESqfqpkSU2Giw7d4y4SBX5UjgDc+Id\nSsUApNrEiZELJ/pBwUsyW2dsG/rQUOPX2xNJ2BYHCAYqmubiCAkhbgtUYCTW2EV9LuXfhpiZFfV0\nuhfWwW5hQOD0MJK7W3+/yOGcGBnDw0hFYrAtHhxvoVQLXzpdvsxSu2J8wuWRNFcV7F5Puivn8kiY\nRi+jSel0UTEK3pLB8Rb6x6kyHXFXUdUg8hXEajZsnoOQ8samgl9NFGCYqEwn8Dw4k30WDBRpzhMS\nZoEJjAzTQkRnFyflTNrl0Zy++HkXQMzloA8Po/LG7pZ9XadUt7uB0cSJEc/z4NPpRV0AACAASURB\nVE22m+/ctwmTQpU9pKck/wb5R9IqGgxeBm+ZiHd6Y9d7ojLd4QUYZJsFpAcKw66MixBHsawhabLN\nIT6dBscHZtl2xfEKMAg2u/c4VKJqlISEWWA+YUtlHXGD5QfLPk414Hge6eWsp1FhXet6GjnNXd1M\npRM7Du9lJFrhXaiKOuvAnpb9G+QfqTjI7gBGrAp4UXR5NMzkynTGpF5GCYHtyg+p1OSVuKukakga\nLDByozBO0Byvl5EMlrY8Wg7fekMImRCgwEhDXGe5wZFsu8ujOTOZq1YAAJQtL8EsT38fH9u2vXFi\n1Hl4LyPnfo2TVhYm5Xr/plwsQIHREDv5i3L6Sf5k68TrJ0aaEIM5qTJdRmIPoPlq+E4ribeMqzUk\ndLbpF2nzRgqqn8m9MwAcXZkuwrGCMGFcbwghEwITGBVVDfF6lZm4zwMjqbMT8UXnwdZ1lF7cOO1f\nzywWYFWr4OMJCEn3UreEZApcJAKrUoGpqojybKEaq4RvoarZLDDqSPirUfGJKHlW/jomeqeYRiJ5\n7BOj9hgrwFDUafeYuGtULSLpFF5oo4p0Z6pxYjTQf9g93rjI1ptCjcr0ExJmgQmMCqqGeM0AAKRy\n7qWDNUu63tOoFel0jVLdPe7+u3EcN+me0TASIrvnUaiV3ByWK3SOpc50p4LzIKSOszuAXqqm37hj\nJMYPOzHqTtWbvJrhe+8RbxmrFqgiXRMJySSEVAq2psGY1BYjKbH1pqRRYERImAUmMCoVFMimDYMH\nUil/nxgBQHLpUvDxBGr79qK6b++0fq2JUt3updE5JvcySsns9ErRpz+d0Essy2r003B66gSBUmLf\nUzzujftFwKSqdELssBOjmfUmrzpHD0nEXcVaaVJz1+BslLipkU43qQBDJsLuFapGuNYbQsjhAhMY\nVfJs56cc5Rs7P37GSzLSV1wJYPpPjSY3d3Xb5Mp0mQgLjMohW6gKlTI4wYRtCsjEgtPHqFxvUJlM\nRV0eyQTnxEibVK4bAGZluwAAllSBbngn9Y+Ej6Krk5q70olRM0wUYJgIjNrq9zmrVtmVMRFCvCEw\ngZE6zpq1VaMiBF5weTTN4fQ0Kr24AdY0Np3TB90vvOCYfGKUi7OFqmaHq4/RoQKrhMabEfABKs1b\nrtkAgEQ27vJIJggij0hEgM3xqJQm3meZaAqwOXCShuEinRoR95RNZdKJEQVGzXCsynTt9fVGD9l6\nQwg5XGCeunSFPUxqMdnlkTRPZNZsROacBatchrL15Wn7Otqg+6W6HY0To+ERtMdZ4QEN4VqoBkvs\n9FOyg3NaBABVk21YpDq81ZvJKcBQLhuNX+M5HoLJArj9Y9TLiLjDtm3U7DISZUqlayZ5xtG9jDpT\nbL0x+KorYyKEeENgAiOUWVldM+6dNJ1myExzEQbbsiaV6vZOYGSMDKOrvlCZXLgWqhGV3XWJ8P5P\nCXVYloWqLQG2jVSntx7uEmn2mVG1RFjVifdaFCyAO1QccWVchNR0EzxXRlS3YQs8+ERwPhPcdKwT\no540O42zhBosi9JnCQmrwARGfLVePSoVrIUjtWwZOElCZdfr0IaHmv76xlgetmFAyGTBR90/oWj0\nMhodQXeKLVS2oMGwTDeH1VL5CguM4kJw3stlRQM4DrJZhZz1VgnyyZXpJt8zSggstYaavBK3FMs6\nkmb9zks6BY7j3B1QQIi5dnCyDLNYhKmyO6ypSAy2xYPjLZRq4cpSIIRMCERgZNk2ZI0tHmI65fJo\nmkuIJ5C85FIAQPGFdU1/fW2ApdF54bQIAPhoDHwyCVvXIVcqgCmC423klfDc83DKk6el4LyXlQJ7\n0IiYZQhJb31f8ZRTmS4Oc1JluqzMArgxavJKXFJUNaQMNncEul/UNBzPN+7UOul0PM+DN9kmyWCR\n+pcRElaBCIzUio64wVJg5AD2eXDS6YovvHBYQ7pmcNLovHC/yDG5l5GzUA2VwvNwqhgsCMxE0y6P\npHlKI+xBI2rXwIneKdcNHL8yXUec9TIq6uFrMEy8oaRqSOr1tY3uFzWV3Ht0ZTrBYmm1Q0p41htC\nyOECERgVyzriBuuRImeCt3jEzl0IqbMLxlge5R2vNfW1ncILcpf7FekckyvTiTZbqIbV8OzgVSyW\n2uFU5QuC0gg7BYsJ3kuJjCfqJ0Zi7LATo556P7SKTU1eiTvG1DKSmg4AiLQFp6eZFxyrl5HMsXTy\nUZU2QwgJq2AERqqGRH3xiGc7XB5N83Ech/TVKwAAhXXPNfW1tYF64YUeL54YjUDmWGWwMC1UTrnY\n7mRwgnxlnKW6xiIuD+QYEqn6HSMhDnPSiVFfhn2WaHx40jiJt4yUi41S3RKdGDVVowDDpMAoyrP1\nZqwSnvWGEHK4lue0GIaBL3/5yzh48CB0XccnPvEJnHPOOfjiF78Inucxf/58fO1rX5vSaxZVDTGd\nldpN5DqnY9iuy1x1NUZ/tQbK9m0wikWI6eacJjRS6Tx6YhSbGYcCYLwanoXK4Flg1JvOuTyS5lFL\nLB0oHvNWGh0wUa67JsZhFCZKc/e1sc8SW6xAMwzIHksBJMGXLxcxo+w0d6XAqJmOVZkuISaQx8Q9\nT0JI+LT8xOjXv/412trasHr1avzHf/wH7r33Xtx///343Oc+h0ceeQSWZeGpp56a0msWlSpiNbZ4\npNq6pmPYrhOzbUhcuBgwTRQ3vNCU17QNA/rIMMBxkLq8E1BOPjFKiKwyW1ELx669YZqwRZYW6pSP\nDQKnR1Ai5b0+Y7F6Kp0mRKEXJlWlk6OAIYPjbfQXxtwaHgmxYq3UODGi4gvNJfV0AxwHfXgYls4y\nTlIyK9Gv6qqbQyOEuKjlgdFNN92ET3/60wAA0zQhCAJ27tyJSy9lldfe8573YMOGDVN6TSU/Dh5A\nReaQjnqrFHAzZVbUizCsXwfbts/49fSREcCyILa3g5e888A60eR1COkIW6iUkCxUA4UxcBwAQ0ZE\nktweTtOUq+z9msq4XxL+SILAIxrhAY5HuXR4mV7RYoH5PmrySlxQ0ktIVpzmrhQYNRMvySw7wbKg\nD7FWGJn6eqM6JdIJIaHT8sAoFoshHo9DURR8+tOfxmc/+9nDHvITiQRKpakdY5frDy2VqABJCM7D\n5JESF14EIZ2G1n8I1bf3nPHrTRRe8M79IgAQ29sBjoORzyNTPzGqhGSh6i+ykwmnOlIQ2LaNisE+\napK5pMujObZ4gn1ulFX9sF+P1Zu87hsfaPmYCKmYauPEiAKj5psowMDS6dpiLEW9ZoVjvSGEHM2V\npPn+/n586lOfwp//+Z/jfe97H775zW82fk9VVaRP4f5MW1scoigAAKwKe5jUYjI6O73VI2UqTmXs\n5euuwcFfPoHa5g2YfcXFZ/T1NJWVJE2fNctz/277cjloo6M4KxrBOgXQUHF1jK362srbbEGOcAnP\n/UxOV6WswQQPwdLRM/cstDX5+2rGv1NbexL5fA3lqnnY653Tfja2lvZj2+g2fKbzljP+OmETlPew\nWyy9BNmwYUsCumd3N7XBK/1sAOXsOVBf2Q6pmEdnZwpze7uBIUBHNRTrDSHkaC0PjEZGRvCxj30M\nX/3qV3HFFVcAABYtWoTNmzfjsssuw/PPP9/49RMZG5vY0akVRwEAejyC4WF/Xprs7Eyd0tilpcuA\nXz6B4XUvIH3rH4OPnv7JwtievQAAM53z3L+bkGsHRkcRq/+cNbvi2hhP9WfTDPtGWEpHBHHP/UxO\n1+gwux8WMVQotgSjid9Xs342UoydGFUtCYMHRsBHWKW6WxatwJYN61GWBvDMtldx4cyzzvhrhUUr\n500QmZaFSL0IgJVKYmSkefcs6WfDmGlWAn3srXcRHS4hZrN5b3DhWG/I1FDAGg4tT6X70Y9+hGKx\niB/84Af40Ic+hA9/+MP4zGc+g+9+97v4kz/5ExiGgfe+971Tek2+XlrTTnjv/kKzyb0zED1nPuxa\nFaWXNp3RazVS6bq9U5HO4dwzylY1AIDFV90cTss41fcSUsLlkTSPWmLFJCJGGULam3cAGyW7xRiM\nSb2MOpNpdOEcAMAvX1/rythIOCkVA0mT3XkTMt6cN353ZC+jnjSr/GcLGqwmN1MnhPhDy0+M7r77\nbtx9991H/frDDz98Wq9n2zakesUyPh2OaD5z9XtQfetNFNY9j8zV7znt12mU6vZgYCTWS3bHFBV2\nFoCgQzN0yGJw75ABQElTAB7IyMF5LytFFtRGjDLElDe/r0SSBUaa08uoc6K65fvP/QP851u7MWC/\ngbyqIJfw5j0pEiwlVUNSZ4ER9TCaHnLvRC8j27YRk2XAFMEJBkbLCjqTwWmyTQg5Nb5v8FrVTMR0\n9uAlhWRXLXXpZeAiUVT3vIXaoUMn/wvHYNVqMPJ5QBAgtXuvo7pzYmSOjoIzZXAcMKQEP71ANVmQ\n3xYLzntZGWU/tyhvgPNoL6CJXkYxmJNOjABg6ex5iNS6wAkmHt1Gp0akNQplDQm9ftqaC17jci8Q\nkkkIyRTsWg3GWB4AwJlsk2SQSvQTEkq+D4yKZQ1xo754ZMJRtYePRpG6/HIAQHH986f1Gvowu8si\ndXaCE4Smja1ZpE6nl9EweIstVEPF4C9UTjWkjkRw3stK/Z5YXD7zEvPTZSKVLg6jeHQz4at62b3H\nHaUtMCyzpWMj4ZRXVCSrrP9XtM17m1dB0Tg16mfpdJLN7u0Oq4Xj/h1CSHD5PzBSNcQNdg8lmgnP\n4pFZ8b8AAMUNL8A2jCn/fa+W6nZI9VQ6fWQYks3ujoVhodI5FkR0JwMUGBVZOlA86r0A3BF3Toyc\nVLoj/NEFy8DpMViyiv9v58utHh4JoRG1MFGqu41S6abLkYGRzMUBAKPq0Z8DhJDgC0BgpCOhsd4j\niRClG0Tnng15xkyYpRKU7dum/Pf1QXa/yIuFFwBAzLYBggCzWETcYg+t+XLwFypTYKefvdmcyyNp\nHqc3UCLp3fthsbgMDjZ0MQZt/OgAXBYlLIhdBAB49sDvWz08EkJjlcJEc9eQZEO4Qe45vABDTGCB\n0Xgt+KnbhJCj+T8wKmuI1VhqSzLrzdOP6cBxXKPwwumk02n1wEjq8WZgxPE8pHYW6HZW2UlDodq8\ncrVeVKxUwAkGbItHezw4F/zLNZZCl0h7t2okz3OIRtjHYblw7OaOt190DWyLR1k+hJ39+1s5PBJC\nY9XSpOaudGI0XSYXYACARL2peLEW7PWGEHJs/g+MxkqQTRsGD6TT4UmlA4D0lcsBQYD62qvQx6Z2\n/8brqXTARDpde5U9WJe0YO/gHSqwfly8GQHP+35qAgAMw0TN4MDZFhJt3g724jEWgCtK7Zi/35Np\nQ4c1DwCwZuczLRsXCSelVkSiwjb9xGxwirF4jdzjpNKxQkYpmX1OKToFRoSEke+fvsrj7GGyEhUQ\nFU+/2akfCakUkksuBmwbxRfWTenvOql0XizV7XAq0+WqbNdUNVQ3hzPtBkssuBUt756sTFVZYff/\nZKPs+aqRTgGGSvn4xRVuns/u9vVbu1GoBPv9SNyl1wqQTMCQRPDR4HwmeI3Y3g5OkmAWCjDLKrJR\n1lKgYh775JgQEmy+D4yqxWH235gIjuNcHk3rZVbU0+leWAf7FBvSmWUVZqkITpYhZr2bu+6cGGUq\n7OE66AvVsMLutkTql3+DQHGau5plCGlv9wRJZNi/e6V2/Hl0+dwFkGsdgGDg0W3PtWpoJITEeuNy\nKxWczwMv4ngecj2lXBsYQHucBUZOhVBCSLj4PjAyFNZ7QI/JLo/EHfHzLoCYy0EfHkbljd2n9Hca\np0Vd3eA8nLLlnBglVdanqmZX3BzOtMtXWGAUFxIuj6R5VCcwMsoQ094+MUpm2b971ZZg1Y6dTgcA\nV3QvAwC8UngZ1iluRhAyFbZtI1K/48JlvL2hEAST0+k66hVBda7q5pAIIS7x7lPxqao/TFrxcKYa\ncDyP9PKrAQCFdadWhEEbcirSefd+EQCI9cAoWmIPCEbAF6pCvQpSSk65PJLmUUv1UvpGGYJPUulq\n4rFLdjtuvXA5oEdhySX8z66pV4Qk5GRquomEzk4sJCq8MO3k3npluv5+dKdYYGTxx98cIYQEl+8D\nI9HZVUt5+2L3dMpctQIAoLy8GaZ68nsP2kC98IKH7xcBgNTJUun4evlkWwj2QqXoLDDKRIKzQ6wU\nWTAbMVSIKW8HfI1eRmIcRvH4PbMikoRzohcCANbuW9+SsZFwKZZ1JPX6aWsuXEWF3NA4MRroR1cq\nA9sGbEGDZuguj4wQ0mq+Dox0w0S0vqsmZoPzMDlVUmcn4ovOh20YKL244aR/Xh9yCi94+8RISKbA\nRSKwqxXIVRsQDJS14J4alS0W1LbHgvNeVsbZ9xQVTHCi6PJoTiyRrJ8YHafJ62R/fNF1sC0OJekA\n3hg81IrhkRApKjUkauy0NdbW6fJogm/yiZEoCOBMGRwHDCnBroRKCDmarwOjoqojbrBdNcnj9xem\nW3oFOzUqrD95dTqnh5Hc5e0TI47jGveMMkVWSnnwBDv5fqfV71A5Oe5BoNZPjOJRweWRnNzEiVEM\nxkkCo75sDjlrLjgOeHwHle4mzTWqKEhWWXXEWIgal7tF6u4GOA768BBswwBvsU2SoeLU2mAQQvzP\n34FRWWsERtFMzuXRuCt58VLw8QRq+/aium/vcf+cbdvQ6z2MpB5vnxgBE5Xp2hRWcXCwNO7mcKaV\nwbPAqDcdnPeyWi/XnUh4+7QIAGJxCRxsGEIU2vjJA/Cb5rHS3QeM11GqBrswCGmtYXW80cNI8HDl\n0KDgZZk1FLcsaEODkGx2Z3lYDe5GHCHk2PwdGKka4hrLAY5nw52HzUsy0ldcCeDERRjMUglWpQI+\nHoeQ9PadD2CiMl1b/erUqHrinXy/MiyzcYdqRkCCfNu2Ua73oEpmvF8cheM4OMUtlfGTN3e8at4i\nSLUcIOr4xbZTK3xCyKkYrRSRrLC5I1LxhZaQe53KdP2I8OzzaqxMqXSEhE0AAiMDAJDIef/0Y7o5\nPY1KL26ApWnH/DON06Kubl/0fXJOjLJl9pCQrwQzMBoqFcHxNmBIiMnBKD1fKeuwbUA0q5Az3g/C\nASAeZR+JavHUCn1c1nk5AGDb+GYq3U2aplApIOEERh6v5hgUkwswxATWO2q8SoERIWHj78BIqSKm\nscUjTYERIrNmIzLnLFjlMpStLx/zzzTuF3m8Ip2jcceozALgYi2YC9VAgfXj4q2oyyNpHqeHUdQH\nPYwc8QQLSsvqqVWjum3x1YAhw5SLWPvmq9M5NBIiVSUPwQJ0WQQfibg9nFCQeid6GSUlVuW2pAVz\nvSGEHJ+vAyNlbBy8DVRkDolIeMt1T5a5mp0aHS+dTht0SnX7I5B0AqNUmT1kF7WTpzj50ZDC7k45\nue1BMLm5q5D2R6W9RJoFpuX6xfeTicky5kqsdPfv3j154RNCTonCLv3rieB8HnhdxKlMNzCAdP15\nQjVO3v6CEBIsvg6M1MIQAKAaFcFzvv5Wmia1bBk4SUJl1+vQhoeO+v2JUt0+OTGq9zKKKxXAtlEO\n6EI1rLLAKMYnXB5J8yg+DIySbeyBqKqfeprpHy++FrbFoSjuxzsjg9M1NBIiYj1l2E77IwU1CBqp\ndP39aKsHRhWz7OaQCCEu8HU0oZdGAQBaTHJ5JN4hxBNIXnIpAKB4jNLdfmnu6uCjMfDJJHjTRLxq\noWoFs/rXeJU9CCXE4Jx8qko9MDLLENP+qKyVyNUDI1s+7j29I81p70TWnAOOs/GLV5+ezuGRkIjW\n2AaQmPVHCmoQCKkUhGQKdq2KDou1F3BaKBBCwsPXgRHKLN3AoHSDwzjpdMXfr4c96UK4bVm+ae46\nWeOekWIFdqFyctnTcoACoxILLCKG6p8To1S9yasYgzmFnlk3ns36iO3Vdwa6CTGZfqZlIVZjn3PR\n9nBXW201pzJdh8rmsM7RXCYkbHwdGPHORfxE3N2BeEzs3IWQurphjI1BfW3iQrgxPgZb1yGk0xBi\n/gkmncp0acWEyQdzoXJy2bNRfwQQp0ItsZ9VxChD9ElgNNHkNX7SJq+TrZh3PsRaFhA1PLZt/XQN\nj4SAUjGQ1NmmQjzX6fJowkXqYZkUaYV9HjstFAgh4eHbwMi0LMgay/8VfVIKuFU4jkPmaraDXVw/\nUYRB91lFOodzYpRWTVhCLZBlkSsWW4g7EsHpWaIUWGAUE21wovcbvAJAIslOjDQhDnMKgRHP81ja\nfhkA4OXRTYF8j5LWKCo1JKqsKmKi3V+f1X7nFGCQ83nYFgcIBp0AExIyvg2MlLKOhMk+sCTq83CU\n9PKrAI6Dsn1bY+fbqUjnpzQ6YNKJUckCx1soVIKXTqdz7HvqTvnjLs6pUBW2652I+yMoAoBIVAQP\nC4Ygo5qfWtf7DyxeARgSjMg41u95fZpGSIJuWCkiWa+KGMlRKl0rSY1eRgPgTLZJMjiFlFpCiP/5\nNjAqlnXEdXbMLaeDs8veLGK2DYkLFwOmieKGFwBM6mHU5bfAiJ0YZRUbwERp6yCx6imCvQF5L+ua\nAV23wFsmomn/pLpyHIeYxN5nSn5qPUyS0Shmi+cDAJ58+7mmj42Ew5AyNtHcNRucjRI/kHsnKtOJ\n9Z5yQyUKjAgJE/8GRqqGuM7SDaJZ2lU7lsyKehGG9etg2zb0xomRv9IzpE4nlY41eQ3aQlXWqoCo\nw7Y4dKT8cRfnZJRJhRekjL++p1iElepWC1M/mfzghdfCtoFxYS/2jg43e2gkBEbVQiMwEnzSGDko\npPYOcJIEszCOuMGq3Y6owVpvCCEn5u/ASKvnYbfRBdVjSVx4EYR0Glr/IVTf3jNxYtTjr8BIzLUD\nHIdk2QBv2RgtB2uhOjTOqityZgQiL7g8muZoNHc1y757uIvXU/+ccuNTMa+zB2l9NjjexmOvPtPs\noZEQKI8Pg7eBakQEL1ErilbieL6xcdhV7yWer5z6XUNCiP/5NjAqqBriGsvDTuf8lRrWKpwoIn3l\nVQCAwnNroY+wHWyps8vNYU0ZL0kQs23gASTLFsYqU0tx8rr+IguMRMs/lQJPRvVhc1dHIslSaCoV\n47T+/vVnXQ0AeLv2Gqr6qfVCIsShF0cAAFo86vJIwilST6frUtipXbEWrPWGEHJivg2MSoUSZMOG\nwQOpFKXSHU+jOt3GDYBpQsy1g5dll0c1dU4BhoxiBm6hGlbZnakI55+7OCfTaO7qo1LdjkSWBahl\nzT6tv3/tgsUQtDQg1bBm+wvNHBoJAa7+eWAmEy6PJJycAgztKstIKWqKm8MhhLSYbwMjdWwIAFCJ\nChAF/1S9ajW5dwai58wH6uWDZZ9VpHM0SnYrJhRddXk0zZWvsNTAmBCcB6GJEyPVd6l0qXYWyFWN\n00tr5HkeS7KXAgA2Db/YtHGRcBDL7EGc89mGQlA4BRiy9T5sZaPs5nAIIS3m28CoqrB0g1qMcrBP\nJnP1exr/32+FFxyiU7JbNVE2ghUYFaoshz0pJl0eSfMok1LpRJ+V00/m2M+hykVgnWYq3Acv+l+A\nIUGP5PH7t3c1c3gk4KJV9iAuteVcHkk4Ob2MEkUWoFYtCowICRPfBkZ2md3LMOIRl0fifalLLwMf\nZfnqfj8xyigmqnawFqp8LQ8AyEaDs0Os1qvSRU0f3jFKs7lSE2JTavI6WToWQ5+4EADw2zepdDc5\ndfEaO6lIdlBRITdIXd0Ax0EuFMFbNjQ7eH3zCCHH59vAiK9XirESwbmwPl34aBTZa68HeB7xhee5\nPZzT0ijZrZjQ7WB0IrcsCw889yjGpXcAAOd3n+3yiJrnsOILPitBnkiyzRZNjEMfP/0KiLedz0p3\n54W3cWg836zhkQCragYSNbapkOry5+m+3/GRCMT2dnCWhUzJhMkHY70hhJwa3wZGYv1CpJBKuTwS\nf2hf+QGc871/R2TWLLeHclqkRiqdFYiFyrIs/NPaR7DHfAm2DVye/EMsP3uh28NqCtO0UFY1wLYR\nleG7ksOSLECACZOXUB07/cDo3O6ZSOozwfE2Ht1OpbvJyY2rNSSqrBpiqt2fp/tBIPewdLpc0YQl\n1GDV7+gSQoLPt4FRzGAPx6LPmke6heM48BH/ph2K2TZAEJCoWhDsGgzLdHtIp80wTax66j9xkHsN\ntsXh2tz78ZHL/9DtYTVNRWU73rJZgZT238YFx3GICuz9pYycWQ+Ta2ez0t1vVl9Brd6QmpDjGSqO\nI1lv7iq3UbVVtzgFGNrGLXC8hVKN0ukICQvfBkYJg6XqSJmsyyMhrcDxPKT2esnuioG84s8SqlVd\nw1ee+iFGxTdhWzxu7v0gPnjx1W4Pq6kOK7zgs4p0jli9or0yfmaFPm5YeDF4LQVIVTzx6oYmjIwE\n2VBxFPGqBRvwXZn7IHECo1yRBakDxXE3h0MIaSHfBkbxerWoaIYq94RFI51OMTFY8t9CVapWcM/T\nD6Io7QVMEX88+w78H+df5vawms4pvMCau/ozMIpHWanucunM0jZ5nseF6aUAgA2DG894XCTYiiOD\n4ABUoiI4kdpQuEXucQIjdnI8VDr9lFpCiL/4ODBiaSnxtg6XR0JaZXIvo2HFX4HRqKLgq2u/h4rc\nDxgyPnLO/8Y1Cy50e1jTYqK5q+rbXe94kh0ZqeqZp7/98UV/ANsUoUVGsPndN8/49UhwVcZZf75q\nzL9pz0HQSKUrsbuSo2UKjAgJC/8GRrX6BdW2LpdHQlrFOTHKqCby5TO7+9FKhwpj+Pq670KLjAB6\nFJ84/69w+dwFbg9r2jgV6fxYqtuRTLNql5Wqfcav1ZZIYAZ3LgDgv9949oxfjwSXWWDVC/VE3OWR\nhJuYSoNPJiEbFhIVC2OVkttDIoS0iG8Do5jGcn/TOSppGhYTJ0YWxqv+WKjeGRnE/Ru+DyMyDk5L\n4LMXfxIXzpzj9rCmlRqAO0aJNtbktdKkegkrz7sGADDC78FgkXafybFxY+LhiAAAIABJREFUar0N\nRTI4zZ79anI6XbHmj/WGEHLmfBsY8TZQlTlEZOpjFBaiExipJoqa94svvD6wH996+Qew5BIELY0v\nXv43OKer1+1hTbvDehhl/BkYpTrZuKtWc+55nD9jNmJaLzjeotLd5Likcr0NhU/nTZA4gVFbwYCi\nn1kRFkKIf/g2MAKAatRf/VHImZE666l0iun5hWrLvj34/vYfw5YqkGo53LP8b9GXC8d9OFWZKL7g\n1ztGyXY27iofhVUv9HKm/qBvOQBgd3kbNINKd5OjRausLHQ0JJ8VXjZRmc5E2fD2ekMIaR5fB0Za\nXHZ7CKSFhGQKpigiotswK95NR1q/Zyf+c9d/AVIN0Vo3/vEP/hZdPk0pmyrbtieV61Z9W5UumWaX\n3zUhBqPQnPts7z3vUnBaArZUwX+/tqkpr0mCJV5lcyfVSXdn3TYRGBmo2mWXR0MIaRVfB0ZWPOr2\nEEgLcRwHM8setCMlbxZf+N2ubfjp2w8Doo6k1od7r/sbZGIJt4fVMgf3jsM0LAiWBtE2IPiwwSsA\nSLII0TZg8SIqo82pgCjyAs5PsdLdL/RTTyNyOMuykagXFcr1zpyW19+zawj/86sdWP/0m6hVjaZ/\njSCRe2cAANqKJnT7zMr2E0L8w9eNErgUXVANGz7XDoyMIl72XmrDr17ZgP8ZegKcYCFrnI2vXvcx\nRKTgp3vato19e/LYsnEvBg6wgDVZGwMfi4GX/HuqG+V1KLaI0tA4Muc25zVvv+gavLrh96hFhrB1\n/9u4eNbZzXlh4ntjagWJCgtWMp0zmva6pmFh92sD2PbifhTGWKrenl3DkJ8WcP7FM7H40pmIJ6k8\n+JGk9g5AFJGsGBBMOjEiJCx8HRj5dTeanL5YVzf0N95AqlxxeyiH+dlLa7Gu8CQ43ka3uRBfvv4j\nEHnB7WFNK8uy8Nbrw9i6cR/ywyxQlSMiFi1II/PEzyB0tbk8wjMTE20oOqCMNa/QR3syiR7MxyB2\n4de71lJgRBoGR4cRr9mwOEBqQgqqVjOwY9shvLL5AMr1e3+pTBTnLenFwIEi9u4ZxdaN+/DK5v04\nd3Evllw+C5k2Kmbk4HgeUlc39EMHkVUrMCwz8J/phBCfB0bNWDyIv6R7Z2IUQLqiQzN0yKL7JzL/\nseG32FJ+FhwHzOGW4PPX/Ql43tdZqidk6CZ2vcp2oEsFlmKSSMpYfNksnLekF8bbb+CAVfNtqW5H\nLMoDOqAWmhuEv3/RtfjJG7swiLcwrBTRmfRngQrSXKPDh9ANoBwVwZ3B50dZ1fDqywfw2suHoNVT\n89o7E7j4ytmYt7ATPM+jszOFV7cdwLaN+/HOmyPYufUQXt92CPMWdeHiZbPR0U3ZGAAQmTET+qGD\nyJV05BUlNHdFCQkzXwdGkUzO7SGQFot0sUvJGcXEULHgeqW37z6/BruNjeA4YKF0Jf52xUpXxzOd\nalUdr205hFdeOoBqmVVVy7TFsOSKWTj3/B4IInuYqxZZOp1fm7s64nERKE1U2WuWJX1nIfpqN6qR\nQfxi21r89dW3NPX1iT+VhgfQDaASPb300+J4Bds37cfrrwzANFifv96+DC6+cjZmn50Dx3GH/fme\nmRm89wMZ5EdUbNu4D2/uHMJb9f/NPjuHi6+Yjd5ZmaP+XphMrkw3WBqnwIiQEPB1YBRra3d7CKTF\npEm9jAYV9wIjy7LwzWd/jn3YBtsGliauwV9ecZMrY5luqlLDK5sPYMfWQ9A1EwDQ0Z3E0itnY+6C\nTvD84Q9OZr2BqV9LdTsSqQgwaKJcMZv+2itmXInfjf4KO5WtMMybIQqUohN2tbER9t8pFhUaHVaw\nbeN+vLlzELbNfm3OOe0ssOk7+YN8riOBa29ehMtWzMX2zfvx+vZ+7Hs7j31v59EzM42Lr5iNOee0\nhzJAavQyKhoYVsYBBLs5NyHE54FRoq3T7SGQFnN6GaVVE/uV5lQLmyrDMvF/Pf1/Y1DYBdvmsCLz\nXvzppde4MpbpVBgrY9uL+7Hr1QFYJnvimjkni6VXzsbMOW3HfVAyCiww8mupbkcymwBQREWzm/7a\nN1+wDE/97n9gy2X8Zudm3HLhFU3/GsRfrBL7PNMTp1bFcuBAAVs27MPePaMAAI4DFpzfjSVXzEJ7\n59RT4VKZKK6+fj4uWT4Hr718EK++fBADB4v4fx9/DW0dcVx8xWycs6gLghDcNOEjTT4xOlAuuTwa\nQkgr+DYwqkkcZnfPcnsYpMX4aAxVWURUM1AcGWz516/pOr6+9j8xLr4N2+JxY9etuGVxsB5qhwdK\n2PbiPuzZNdzYgZ67oAMXXzEb3TNOfgpk1lPp/H7HiDV5LaJiNv80RxQELExchNf1DVh38PcUGBHw\nSr0FQer4c8y2bex7O4+tG/ah/0B9A0LksWhxLy66vA/p7JkXT4jFZVy2Yi6WLJuFndv6sX3zfoyN\nlPHM/7MLm59/Bxctm4WFi3shScE/5ZS7e2ADyJRM7Ci7sxFHCGkt3wZG3ffcg2iMqtKFUTkZQzRf\ngj4y1Nqvq1Xxj8/8GIp8ALYpYOWs/xN/uHBJS8cwXWzbxqF949i6cR/2vzMGAOB5Dude2I0ly2ah\nrf3UezEZAbljlOrKAjiAmj09BT5uv+harNr0IiryAF47uBcXzKQ0nTCTKqwktHiMu7OWZWHPrmFs\n3bAPo5MqQF5wyQxceEkf4onml8WXZBEXXT4LF1wyE2/uGMTWjfswnq9g/e/ewkvr92LxpTNxwSUz\nEYm6XwBnuvCRCMqJGBJqBcZoa9cbQog7PBMY2baNVatWYffu3ZBlGd/4xjcwa9bxT4S6Zs5r4eiI\nl1RTSSBfAsZHW/Y1x1QV9z3/Q1Qjg4Ah4c/m3YGr553Xsq8/XWzbxrtvsrK9g4fqJz0Sj/OWzMBF\nl/UhmZ56E2XnjpHvU+k6swCAmhCFqWkQ5OY+fHalM+i0z8EI3sAvX1+LC2b+76a+PvGXWIVVeIy1\nT9ybPFYFyHhSxkWX9eG8JTMgR6Z/CRcEHgsX92LBBT14980RbNmwD8MDJWxa9y62vri/8VmRSAWz\nF1I1m0ZCrUDMt269IYS4xzOB0VNPPQVN0/Dzn/8c27dvx/33348f/OAHbg+LeJCZyQDoh1R/AJ9u\n/eNj+Mfnvwc9kgf0CP7yvL/wff8Z07Tw5s4hbNu4D2OjbKc6GhNx4SV9uOCSmYjGTn8X2CzVA6yM\nv0+MJFmEZGnQeRnq8BjSM7ub/jXef+41+K+33kC/vRtjqoK2BJVJDqt4lVU/zHb1oFY1sGPrQbzy\n0gFU1EkVIJfNwrkXTFSAbCWe53D2uZ2Yu6ADB/ey0+UD745h+6b9ePXlAzj3gh4sWTYL2Vy85WOb\nTmZ7O3BwELFxSqUjJAw8Exi9/PLLWLFiBQDgoosuwmuvvebyiIhX8TlWjTCqqNP+tQ7kR/DNTT+C\nESmA02P4m4v+Eot6/Hu3TddMvP5KP7Zv2g+lWAPAqq8tuXwWFl3UC0k+s3sDtmUFJpUOACLQoEOG\nMjg9gdEls+dh9Y5O1CLDeHT7s7hz+c1N/xrEHxJVAzUhhuFDMWx4dgO02skrQLqB4zj0ndWGvrPa\nMNRfxNaN+/H27mG8vr0fr2/vx7yFnbj4itno7AlGqrvQ3QtgJ1LF5jV6JoR4F2fbdvNLLp2Ge+65\nBzfeeGMjOLr22mvx1FNPHbdR5iM/3tjK4U27SERErd6Mj5zY6OAhRA4chMEDtcj05rdbsADYADik\npCREHzdutQGMmgloNtsPSfJVzI+MoE8qgOea8zFgWxbUrVvAx2I453v/3pTXPJHOzhSGh6evWtRj\n//IEhq0MciggOk3bSGVdQ82qAODAw7/vL3JmYlUTo7GZsHm2OTFjNqsA2XfW8StAnq5mz5vxPKtg\nufvVAVgW+yzp6ctMy92nViuMDEHYu7cl6w3xMht/92+fdHsQpAU8c2KUTCahqhMnAJZlHTcoAoA/\n/zhVcSKEsIe86fLJb/75tL02IW5q5rzp7Exh/rnNP1ElhJBW88z25NKlS/Hcc88BALZt24YFCxa4\nPCJCCCGEEEJIWHgmlW5yVToAuP/++zF37lyXR0UIIYQQQggJA88ERoQQQgghhBDiFs+k0hFCCCGE\nEEKIWygwIoQQQgghhIQeBUaEEEIIIYSQ0KPAiBBCCCGEEBJ6FBiR0CsUCm4PgRDfoXlDyNTRvCHE\n24RVq1atcnsQQafrOtasWYNyuYyuri4IguD2kAgA0zTxne98B6tXr8b+/fuRSCTQ1dXl9rBIHc0b\nb6J54200b7yJ5o230bwhDgqMptnbb7+Nj3/845AkCa+88greffddzJkzB/F4HLZtg+M4t4cYWmvX\nrsVLL72Er3/963j77bexYcMG5HI5dHd308/GZTRvvIvmjXfRvPEumjfeRfOGTEaB0TTbvXs3kskk\nPve5z2HOnDl444038Nprr+Hyyy+nyeaCPXv2IJlMQhAEPPnkk1iwYAEuu+wy9PX1YWxsDC+++CLe\n85730M/GZTRvvIXmjT/QvPEWmjf+QPOGTEaBUZMNDw/jgQcegKqqiMVi6O/vx5NPPolbbrkF6XQa\n0WgUGzduxKxZs9DR0eH2cENDURT8y7/8Cx5++GG88847yOfzWLx4Mb71rW/hjjvuQCKRgCzL2Llz\nJzo7O9HZ2en2kEOF5o030bzxNpo33kTzxtto3pAToeILTbRnzx78/d//Pbq6ulAul3HXXXfhuuuu\nw8jICJ5++mlIkoTe3l7kcjnk83m3hxsqW7ZsQT6fx+OPP44Pf/jDeOCBB3DWWWdh7ty5+MlPfgIA\nmDNnDsrlMpLJpMujDReaN95F88a7aN54F80b76J5Q06GAqMmsCyr8d9cLoc777wTH/zgB9HX14ef\n/OQn+MpXvoIHHngAANDT04OBgQFEo1E3hxwKtm03fjY8z6OjowPFYhGzZs3Cbbfdhvvvvx+rVq3C\no48+ii1btuCFF17AwYMHYRiGyyMPB5o33kTzxtto3ngTzRtvo3lDThUFRk3A8+yfUVEUdHZ24o03\n3gAAfO1rX8MjjzyChQsX4vLLL8d9992Hj370ozBNE729vW4OOdBGR0cBABzHged5KIoCSZJg2zYO\nHDgAAPjMZz6DrVu3olgs4p577sH69evx85//HH/3d3+HuXPnujn80KB54y00b/yB5o230LzxB5o3\n5FTRHaPTUCwW8fjjj0MURWQyGQiCgF/84hdYuHAhNm7ciHg8jq6uLrS1tWFoaAj79u3Dpz71Kcyd\nOxd9fX3467/+azo+nwZOXveaNWswOjra+Df+1re+hZUrV+LFF19ErVZDZ2cnkskkisUiUqkUVqxY\ngWXLluH9738/uru7Xf4ugovmjTfRvPE2mjfeRPPG22jekNNFgdEUvfzyy7jrrruQTqexefNmHDp0\nCEuWLMG+ffuwdOlS1Go1bN26FbquY/78+Xj++edx6aWXYs6cOchmszj77LPd/hYC6/HHH8fIyAi+\n+MUvYseOHVi3bh2WLVuG973vfZBlGdlsFlu2bMHmzZuxd+9e/PrXv8btt9+ObDbr9tADj+aNd9G8\n8S6aN95F88a7aN6QM0GB0RRt3boV5513Hu688050dnZi69at2L9/P1auXAkAOOecc1Cr1bB27Vqs\nXr0ahmHgAx/4AGKxmMsjD6Y333wT2WwWPM9jzZo1uP7667Fw4UL09vbiwIED2Lp1K6644goAQHd3\nNxYsWIB8Po/+/n78wz/8A+bMmePydxAONG+8heaNP9C88RaaN/5A84acCQqMTmLPnj34t3/7N5im\niWw2i+3bt+OVV17B9ddfj0wmA1EUsX79elx44YVIJpMYHx/Heeedh0svvRSXXHIJ7rjjDpps02Bo\naAirVq3Cf//3f2Pnzp2QJAnt7e146KGHcNtttyGRSEAURezYsQNz586FIAj42c9+huXLl2Px4sW4\n6qqrkMlk3P42AovmjTfRvPE2mjfeRPPG22jekGai4gsnsGXLFqxatQrnnnsu9u7diy984Qu44447\n8OKLL2L37t2IRqPo6+tDMpnE6OgoFEXBP//zP2NoaAjZbBbz5893+1sIrHXr1iGZTGL16tW46aab\n8NWvfhU33HADKpUKnnzySfA8j5kzZ6JcLiObzSKZTKKvr8/tYYcCzRvvonnjXTRvvIvmjXfRvCHN\nRoHRMThlHWu1GubOnYs77rgDH/vYx6CqKn73u9/h05/+NO677z4AwFlnnYX+/n7E43Ekk0l8/etf\nR1dXl5vDDyzLsho/GyeHu1ar4bLLLsPSpUvxwx/+EKtWrcKDDz6IXbt2Yf369RgeHkatVgMAXHfd\ndW4OP/Bo3ngTzRtvo3njTTRvvI3mDZkuFBgdg1PWUdM0ZLNZ7N27FwBw991341vf+hZuvfVW5HI5\n/NM//RM+9KEPoa2tDW1tbbBtG5IkuTn0QBoeHgbAfi5OOVRZlmEYRqMc6le/+lWsWbMGs2bNwic+\n8Qk88cQTeOaZZ/ClL32JOle3CM0bb6F54w80b7yF5o0/0Lwh04XuGAHo7+/Hgw8+2PggTKfTePzx\nx7FgwQK88MIL6OjoQFdXF/r6+rB9+3ZwHIe/+qu/Qk9PD84//3x85CMfQTQaBcdxbn8rgTIwMID7\n778fv/nNb1CpVJBOpzEyMoJHHnkEN998M5577jlIkoSenh6k02kcPHgQs2bNwvLly3HllVfi5ptv\nRltbm9vfRmDRvPEmmjfeRvPGm2jeeBvNG9IqoT8x+u1vf4u77roLsVgMmzdvxiOPPAIAiMVimDdv\nHhYvXoxNmzZh8+bNAIBIJIK5c+ciEolg4cKFuOqqq9wcfqA9+uij6O7uxt13343BwUE89NBDmDlz\nJj7/+c8jl8vhxhtvxI4dO/DjH/8Y//7v/46tW7c2jscFQXB59MFG88a7aN54F80b76J54100b0gr\nhfbEaNeuXejo6MDjjz+Ov/iLv8Ctt94KwzDQ39+P5cuXNy7kzZ8/H6VSCb/97W/x05/+FNlsFn/0\nR38EURRd/g6Cac2aNfjNb36DarWKrVu34sMf/jBmz56N7u5u7Nq1C++88w6WLFkCAJg9ezbmz5+P\nvXv3QtM03H333cjlci5/B8FG88abaN54G80bb6J54200b4gbQvmueffdd/G5z30Ojz76KNra2pBI\nJACwTsn79u077M8qioL3ve99uPTSS1Gr1TB79mw3hhx4tm3jwQcfxBtvvIGbb74Zzz77LJ544gn0\n9vbiM5/5DHp6erB8+XKsW7cO+Xy+0YPgz/7sz/Dxj3/c7eGHAs0b76F54300b7yH5o330bwhbgld\nKp1lWXjsscegqioefPBB3HnnnViwYAFM08TTTz+NW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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -390,7 +390,7 @@ ], "source": [ "for varname in cloud_vars:\n", - " data[varname].plot(fmt='-', linewidth=2)\n", + " data[varname].plot(ls='-', linewidth=2)\n", "plt.ylabel('Cloud cover' + ' %')\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", "plt.title('NAM')\n", @@ -399,7 +399,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 16, "metadata": { "collapsed": false }, @@ -407,18 +407,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 21, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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RSqWwfPlyzJ8/H16vsR94VDtamSU0QCA2ZWwEM6Y04P19HXhpy2FcP39KjVZHNLhCN3Jj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\nMmZf0GT2ciwn4HNDliQkUzlksorZy6k6BmJUkqi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ZJmi3nB31JMX2ZNigQL48XEpe4RUO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\nEEIlUogJIYQQQqjk/wBwE6VcAqa3EwAAAABJRU5ErkJggg==\n", 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pZnrq0IpIFmaGgDRi1PpogMOMyBxG41kk0nn4Ghxo8qtf68/SDmuatrSjra0N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\nD86cOUNiYiI9evSgoKCAOXPmEB0dzcmTJ8nNzcXW1hYvLy9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DM/f9+vWjW7dufP755w+t\nf/HixRgMBiZNmoTBYMDMzIyPPvqIFStWsGDBAurr69Hr9cbr8LDzMX36dMaNG4ejoyN+fn507dqV\noqIivL29OXnyJEOGDGn5BAshxCMyUw+bqhFCCNFhlJWV8dZbb7F582ZTl/JUvP7666xevVq2vxNC\nfC+ytEMIIQSurq4MHTqUAwcOmLqUJ+6LL75g+PDh0kQLIb43mZEWQgghhBCiFWRGWgghhBBCiFaQ\nRloIIYQQQohWkEZaCCGEEEKIVpBGWgghhBBCiFaQRloIIYQQQohW+B8Gh+DIrD3e3QAAAABJRU5E\nrkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -426,37 +426,34 @@ } ], "source": [ - "data['ghi'].plot(linewidth=2, fmt='-')\n", + "data['ghi'].plot(linewidth=2, ls='-')\n", "plt.ylabel('GHI W/m**2')\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": { "collapsed": true }, - "outputs": [], "source": [ - "## Instanciate forecast model " + "## Instantiate NDFD forecast model " ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 17, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "# intialize NDFD forecast model\n", "fm = NDFD()" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 18, "metadata": { "collapsed": false }, @@ -468,7 +465,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 19, "metadata": { "collapsed": true }, @@ -481,7 +478,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 20, "metadata": { "collapsed": false }, @@ -492,15 +489,15 @@ "(0, 100)" ] }, - "execution_count": 7, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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lNBqVNwyTr0NHOf+7SalPTzNdDhBECAsDIQxAOJiKNMTtVtmDD0mS0oqmyLH1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\nDPt60er3hJeSLN9ZnU1XAaC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fSzQUgMiSfclluacc7t8nx7atZscBcJrt9xPyvD1XkpTR60GT0wB/ltH19FZ4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\n8ePHOXLkCCaTif379//lPgwYMKDLY2dn5y6P29v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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -508,7 +505,7 @@ } ], "source": [ - "total_cloud_cover.plot('r', linewidth=2)\n", + "total_cloud_cover.plot(color='r', linewidth=2)\n", "plt.ylabel('Total cloud cover' + ' (%s)' % fm.var_units['total_clouds'])\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", "plt.title('NDFD')\n", @@ -517,7 +514,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 21, "metadata": { "collapsed": false }, @@ -525,18 +522,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Ux7K13j3htykUrv0LEhCX8vueoZTe93AY7ok0OdVvupEWvTsnfsyifGjXDm3ZMoo2rYKe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\nbIDVcUKSw983/PDDDyktLWXZsmV88803TJo0ieeff97fMc4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CK80psAnwUP5GjfF0vBittBT7rLdVxxGiQuSoufBivjUyLS2NnTt3cuWVV5KX\nl8fYsWPD3qdaNSe6nhxjV3NyMlRHSBzfBU/OcF55Gc4E+Xur9PPb/mxYMJfMXzZBgvxZU5G8fo9D\nfj5s+QWsVqp1OBusVtWJworo8zvsblj8JenTJpH+7/uS+7i9BCCv3Qr4IbhoY7/wfOwJ9vcVq+c3\n5kXzpEmTuOCCCxg+fDh79uyhX79+zJ8/H+sxvqDm5pbEMGH05ORksHdvoeoYiaGkhJrffQcmE/tP\nbY2RAH9vVXl+rY1OJQvwfLuS/AT4s6Yief0eH8uyZWQD3tNakpfvBtyqIx1TxJ/fcy+iep26mDdv\nJm/ux3jPvyByjy2Oi7x2K6ba0q/RgdxTW+NLoL+vSD+/xyrAY96ekZWVRXp6OgAZGRn4fD4CgUCs\nY4g4Z1m9Es3rxdeyNUZmluo4UedtWX6CxnqQ14NIAvr3Zeczt06t1owQiwVX734A2CfLhkAR54qK\nMG/+AUPXQ8egir+LedHcv39/Nm7cSO/evRk4cCD33HMPdrs91jFEnLN8vRQAb/vkPZ/5UEbt2vhr\n18FUWIDpNzlRRiQ+fV3qDDU5GlffARgmE7YP56P9+afqOEIclWXtmuDG+9NagcOhOk7cinl7htPp\n5MUXX4z1ZUWCsXxTtgnw3PMVJ4kdX6vWmPf8gb5hHZ5Gp6iOI0SVlK80e1un1skZhwrUOwFPp87Y\nFn6I/e2plP7jHtWRhDgifVX5UJO2ipPENxluIuKP241l5bdAck8C/Ctfq+A4bYuM0xYJTsvPQ9/6\nK4bNhr9Zc9VxlCodMBgAx5S3wO9XnEaII5OTMypGimYRd/Tv16C5XPiaNceoUUN1nJjxtQquyOnr\nvlecRIiqKR8J7zutJaT4saLeiy7BX78B5h3bsX75P9VxhPg7w0AvK5plqMmxSdEs4k5odHYKrTLD\nwZVmff06MAzFaYSovJScBHg0JhOl/QYBMiFQxCfT7zsx/7mHQHY2/kaNVceJa1I0i7hjLd8EmAJD\nTQ4VOLk+gaxsTPv2Ytrzh+o4QlSavrZsE6AUzQC4bu6DYbVi/ewTTDu2q44jxGH01eX9zO3kPPEw\npGgW8cXnQ/92BZB6K81o2sHVZmnREAnMUlY0e6VoBsCoWRP3NdehGQb2aZNUxxHiMJaV0s9cUVI0\ni7iib1iHqbgIX8NGBOrUVR0n5nwtD2nRECIBaXm5mH/bimG34z+1meo4ccNVviFw2hTweBSnEeIg\nS9lKs1foY8PzAAAgAElEQVT6mcOSolnEFcvXZf3MKdaaUe6wvmYhEtDBTYCtQI/5qaZxy3tOe3zN\nmmPa+yfWhR+qjiNEkNcbemfTd6YcNxeOFM0irqTqJsByvrIzbfX1axUnEaJyQpMAT0/d85mPSNMo\n7R/cEOiQDYEiTug/bAieVnVKY4xq1VXHiXtSNIv4EQgcHGrSPnWGmhzK37gJhsOBecd2tNwDquMI\ncdzKV628Z7RRnCT+uLv3xHA6sS5dgvnnn1THEQJ9ZflRc9LPXBFSNIu4Yd70A6a8PPwnnkTg5Pqq\n46hhNuNr0RKQFg2RmCzlK80pPAnwaIzMLFw3dAfAPmWi4jRCHNLP3Eb6mStCimYRN1K9NaOc9DWL\nRKXlHsC8/TcMhwN/01NVx4lLrrIWDfvMGVBaqjiNSHWhoSbtZKW5IqRoFnHDsjy1WzPKla/Qla8A\nCJEoQkNNZBPgUflOPxPvmW0w5edhm/u+6jgihWkH9qP/ugXDbsfX/DTVcRKCFM0iPhjGIUNNUrto\n9pSdHGJZuhj8fsVphKi4g/3Mcj7zsZQOGAKAY7JsCBTqWNasAsqGEKX4uPuKkqJZxAXzll8w7dtL\nIKdWyo/xDDRshP/k+phyc+UUDZFQpJ+5YtzX3UAgKxvLqpXyGhfK6Kukn/l4SdEs4oKlbJXZ0/58\nGeOpaXg6XgKAddEXarMIcRxC573KyRnH5nTi6nEzAPZJsiFQqGEp62f2Sj9zhUnRLOKCZXnZJsAU\n72cu57koWDRbpGgWCUI7sB/z9m0YTif+Jk1Vx4l7rn5lGwLfm4VWWKA4jUg5gQD66rL2DFlprjAp\nmoV6hiFF8194L7gQw2TC8t0KKCpSHUeIsEKbAFu2BrNZcZr45296Kp7zL0ArKcb27juq44gUY/51\nC6b8PPx16hKod4LqOAlDimahnGn7Nsy7fidQrRr+Zs1Vx4kLRnY1fGe2QfN6sS5fqjqOEGFZ1gb7\nmb0yCbDCyo+fc0yeAIahOI1IJfrKb4GyVeZUb4k8DlI0C+VCq8znnAcm+SdZrryvWVo0RCIIrTSf\nLidnVJT7qi4Eauagb/oB/dsVquOIFBIaaiKTAI+LVChCuVQfnX00nosuBcC6+EvFSYQITy9baZai\n+ThYrbh69wPAMWm84jAilZSfnOFrK/3Mx0OKZqFc6Hzm9qk9CfCvfG3bEUjPQP/pR0y/71QdR4ij\n0vbtw7xzB4YzDX/jJqrjJJTSvgMwNA3b/Dlo+/erjiNSQUkJ+g8bMEwmvPJD7nGpUNFcVFTE5s2b\n+emnnyguLo52JpFCTLt3Yf5tK4H0jOAGInGQxYK3wwWArDaL+KavK1tlbiWbAI9X4OT6eC7rhObx\nYH97muo4IgVY1n2P5vfja9ES0tJUx0kox5xzumzZMt588002bdpErVq1sFgs7Nmzh2bNmjFo0CDO\nP1/eThdVU96a4Tv7HBm7ewSejpdgW/gRlsVf4OrVV3UcIY7IslYmAVaFq/8gbJ99gmPKRErvHCp7\nO0RUhVoz5Ki543bUKuVf//oX2dnZPPDAAzRr1uywz23evJnZs2czb948nnnmmaiHFMnL8nVwE6BH\n+pmPyHvRxUDZSnMgIN9MRVzSZRJglXgu7YT/xJMw/7YVy+Iv8V58qepIIonJUJPKO2rRPHToUOrV\nq3fEzzVr1oxRo0axa9euqAUTqcHyTfn5zB0UJ4lP/kaN8Z90MuYd29HXr5VNViIuySTAKjKbcfUd\nQNpTT+CYPFGKZhFV+mpZaa6soy5b1atXj8LCQnJzc0MfW7lyJXl5eYfdRojK0vbtQ/9xM4bdjk/e\n1j0yTTs4HVD6mkUc0vbuxfz7TgJp6fhPaaw6TsIq7dUPQ9exfvIRpt2yICWiw7R7V3AuQmaWbNqt\nhKMWzZs3b6Zz586sW7cu9LFFixZx7bXX8tNPP8UknEhuofOZ250NVqviNPHL07GsRUPOaxZxyFK+\nCbD16dI+VAVG7dq4r+qC5vdjnzZZdRyRpEL9zGe2kddrJRz1b+zpp5/m2WefpWPHjqGP3XvvvTzx\nxBM89dRTMQknklv5iRDeCzqGuWVq817QEUPTsKxYDnJ6jYgz0s8cOa4BgwGCRbPPpziNSEahfmYZ\nalIpRy2a8/Pzad++/d8+3rFjR/bLWZIiAspXTsvbD8SRGdWqHxypXdYDLkS8CE0ClBarKvOefwG+\nxk0w796F9dOFquOIJBTqZ5ahJpVy1KLZ6/ViGMbfPh4IBPD7/VENJZKfaeuvmLf/RiA7W1aoKqC8\nRUNGaot4I5MAI0jTcPUfBMiEQBEFPh+Wstert42sNFfGUYvmdu3a8frrr//t42PHjv3bEXRCHK/Q\nKvOFF8swhArwlo/UlqJZxBFtzx7Mu3cRSM/A3+gU1XGSguummzHsdqyLvsC09VfVcUQSMW/6Aa2k\nBH+Dhhg1aqiOk5COeuTcvffey5AhQ5g7dy6tW7fGMAw2btxIRkYGY8eOjWVGkYTKiz+vtGZUiLft\nWQTS0tF/3Ixp9y4CdeXkGqGebAKMPKNaddzXd8M+czqOKW9R/MgTqiOJJCH9zFV31K9y6enpzJgx\ng1GjRtGkSROaNWvGI488wjvvvEO1atVimVEkG58Py9IlwMG2AxGG1Yr3/OBZ1nL0nIgXoX5mac2I\nqNKyFg3721PB7VacRiQLS1k/s1f6mSvtqEXzkiVLMJlMXHDBBdx6660MGTKEc889F03TQrdZvHhx\nTEKK5KKvXoWpsADfKY0JnHSy6jgJo3zDpHXR52qDCFHmYD+z7EuIJF+bdnhbnY7pwAFs8+eojiOS\nhF620uyTleZKO2rR/OuvvzJkyBBmz57Ntm3bcLvd+Hw+tm/fzqxZs+jfvz9btmyJZVaRJMqLPmnN\nOD6hvuYli4IjtYVQTE7OiJJDNwROnqg4jEgGWl4u+s8/Ydhs+E5rpTpOwjpqT/OAAQO46qqrmD59\nOpMnT2bbtm2YzWZOPPFELrnkEp599llq1apVqYuOGzeOL774Aq/XS69evejWrVul/wAi8YQ2AXaU\novl4+E9pjP+EEzH/vhN943p8rU5XHUmkMNOePzD/sZtARib+Bo1Ux0k6rhu6k/boKCwrlmP+YSP+\nFqepjiQSmL5mNUDw+4YME6u0oxbNALVq1WL48OEMHz48Yhf89ttvWbNmDTNnzqSkpISJE+Wn6FSi\n5eehr1mFoeuhHl1RQWUjtR3Tp2D58gspmoVSh7VmyCbAyEtPx929B463xuOYMpGip59XnUgksIOb\nAKWfuSpi/pVu6dKlNG3alDvvvJM77riDiy+WjWCpxLL0KzS/H2+7szEyMlXHSTjlLS1W2QwoFJNJ\ngNFX2j84IdA2ayYUFSlOIxLZwaEm0s9cFTEvmnNzc9mwYQMvv/wyjz76KPfcc0+sIwiFQkfNyakZ\nleIJjdT+GkpKVMcRKUxfJ/3M0eZvcRres8/FVFSI/YPZquOIRGUYB0/OaCMrzVVxzPaMaMjOzuaU\nU05B13UaNmyIzWbjwIEDVK9e/aj3qVbNia4nxwCMnJwM1RHUWroIgLSuXUhLwr+LqD+/ORnQti2s\nXEnOpjVw5ZXRvZ44TMq/fg9VVjRnXtwh+O8yCcTl8zvsbujzDRnT3iJj+N1wyAlWouLi8rmNlV9+\ngQMHoHZtarQ5LSn/DcXq+Q1bNBcUFPD888+zY8cOXnjhBZ5//nlGjhxJZmbl3lpv27YtU6dOZcCA\nAezZsweXyxX23Ofc3ORYUcvJyWDv3kLVMZQxbf2VGlu2EMjKZn/9UyHJ/i5i9fw6O1xE2sqVlMz9\nkOK250f9eiIo1V+/hzL9sZsaf/xBIDOL/Zm1kuK1HLfP74WdqFG9OqY1a8j95Et5e70S4va5jRHb\np1+SCbjPbEvBvuRr84n083usAjxse8ZDDz1E06ZN2bt3L06nk8zMTO67775Kh7noooto3rw5N954\nI3feeSePPPLIYWc/i+RV3ofrvaCjjM6ugvLWFutiGakt1Aj1M59+RlKuWsUVux3XzX0BOX5OVM7B\noSbyA1dVhS2ad+zYQe/evTGbzVitVkaOHMnvv/9epYvee++9zJ49m/fee4/zzjuvSo8lEkd50eyR\n85mrxNvubAxnGvqmHzD9sVt1HJGCDp6cIf3MsVDadwAAtjnvoeUeUBtGJJzQUBPpZ66ysEWzyWSi\nqKgotBq8Y8cOTHK8kDhePh+Wr4ITJGV0dhXZbHhkpLZQSCYBxlag0Sl4LroEzeXCPutt1XFEIikt\nRd+wHkPT8J3ZRnWahBe2+h06dCh9+/Zl165dDBs2jB49ejBs2LBYZBNJRF+zClNBPr6GjQjUb6A6\nTsILHT23SFo0RIwZBpaySYBeWWmOmfLj5+yTJ4JhKE4jEoW+fh2az4e/WXOM9BTeDBkhYTcC1qtX\nj/Hjx7NmzRoCgQCjRo2q9CRAkbpC/czSmhER5dMUrYu/DI7Ulnd/RIyYdu/CtPdPAtnZ8gNwDHmu\n6Iy/Tl30X37GsuwrvB0uVB1JJADL6vKhJtLPHAlhv9MOGzaMGjVqcNlll9GpUycpmEWlhEZnX3Sp\n2iBJwt+kKf56J2DatxfzDxtVxxEpRC9bZfa1PlM2AcaSruPq0x8A+6QJisOIRKGvKhtqIv3MERG2\naG7cuDFvvPEGy5cvZ/Xq1aFfQlSUVpCPvuo7DLNZRmdHStlIbQDrl58rDiNSib42+PVf+pljz9V3\nAIbZjO2j+Wh79qiOIxKAnJwRWWHbM/bv38+SJUtYsmRJ6GOapjF9+vSoBhPJw7JsaXB09tnnYmRm\nqY6TNDyXXo5jxlTs779L6d3/kFU/ERPlK81emQQYc4G69fB06ozt4wU4ZkyhZPhI1ZFEHNP27MG8\nYzuB9Az8TU9VHScphC2aZ8yYEYscIolZFwVXQuWoucjydOpMoGYO+sb16Cu+wXdue9WRRLIzDCzl\nJ2e0lpVmFUoHDMb28QLsUydRMmyEnHkvjqp8ldl3Zhv5dxIhYYvmgQMHHnH4yMSJcsi6qBhLeT+z\nHDUXWTYbpX37kzbmORwTx1IoRbOIMtOu3zHt20egWjUCJ9dXHScleTtejL9BQ8y/bcX6+ad4OnVW\nHUnEKcsq2QQYaWGL5ltvvTX0e6/Xy+effx527LUQ5UzbfkPf+iuBzCx8Z7ZVHSfpuPoNwvnyGGwL\n5lG85w8CteuojiSSWGgSYGuZBKiMyURpv0GkP/4Q9skTpWgWR6Wvlk2AkRZ2I2D79u1Dvy688EIe\ne+wxli1bFotsIgkcNjpbD/szmjhOgRNOxNP5GjSfD/uUt1THEUlOX1dWNJ8hQxJUcvXsjWG1Yv3f\np5i2b1MdR8Qjvx99TXDTrleK5ogJWzTv2bPnsF9Lly4lNzc3FtlEErBKa0bUlQ66BSBYNHu9itOI\nZGYpW2n2Sj+zUkbNmri7XI9mGNinTVYdR8Qh84+bMRUX4T+5PoYcFRwxYZf+brrpJjRNwzAMNE2j\nevXqPPjgg7HIJhKd339wdLZsAowa7/kX4Du1GfqPm7F9NB/3dTeojiSSkWGgrys7o1lOzlCutP9g\n7O/NwjFtMiX3PgBWq+pIIo4c7GeWVeZICls0L1iwgIyMw0cv/vHHH1ELJJKH/v1qTPl5+Bs0JNCg\noeo4yUvTKB10Kxn3j8A+YZwUzSIqTDt3YNq/n0D16gROPEl1nJTnO+dcfM1boG/6AdvHC+R1Lw6j\nlxXN0s8cWUdtz/jzzz/Zs2cPvXr1Cv1+z5497Nq1i4EDB8Yyo0hQB1szZJU52tzdexBIz8D6zdeY\nN25QHUckodAkwNNlEmBc0DRK+w8GZEKg+DsZahIdR11pfu6551ixYgX79++ne/fuoY+bzWYuvlj6\nU0V4lrJNgNKaEX1Gegaunr1wjh+LY+KbFD3/kupIIsmUn88sQ03ih7t7D9Iffxjrsq8w//wT/iZN\nVUcScUArLMD842YMiwVfy9aq4ySVoxbNo0ePBuCNN97g9ttvj1kgkRy0wgIsK78Njs7ucIHqOCnB\nNfAWnOPHYn/vHYofehQjW46GFJGjh4aaSNEcL4yMTFzdbsIx9S3skydQ/J9nVEcScUBfsxrNMPC2\nag12u+o4SaVCGwGnTp1KSUkJhmHg9/vZuXMnTz31VCzyiQRlWbYUzefD2+5sjKxs1XFSgr9JUzwX\nXox1yZfYZ06n9Pa7VUcSycIwDhbNstIcV1wDBgWL5nfepvjfj4DTqTqSUCy0CVD6mSMu7JFzQ4cO\n5fvvv+f9998nLy+PhQsXEggEYpFNJDDr4rJ+ZmnNiKnSwcFhRPa3xoO8TkWEmHZsx5SbS6BmTQL1\nTlAdRxzC1+p0vG3bYcrPwzb3fdVxRBwIDTWRfuaIC1s079+/n+eff55LLrmEq666iunTp7Nly5ZY\nZBMJLDQ6+6JLFSdJLZ5OV+I/8ST0rb9iWfS56jgiSZSvMntlE2BcKt8Q6JgsGwJTnmHISnMUhS2a\nMzMzAWjQoAE//vgjmZmZ+Hy+qAc7VPmGMpEYTNu3oW/5hUBGJr42Mjo7psxmSgeUfQOdME5xGJEs\nLKGTM2SoSTxyX3cDgaxsLKtXoX+/WnUcoZBp+zZM+/YRqFFDjnqNgrBF89lnn83w4cM577zzmDBh\nAo8//jh6jMchZ910PY5x/xfTa4rKs372CQDeDhfK6GwFXL36YdhswRG7v21VHUckAb1sEqDvdBmf\nHZccDlw39wEg465b0fJkam+qOmyVWd4ViriwRfMtt9zCsGHDOOmkkxg9ejT16tXj1VdfjUW2EM0w\nSB/1AGn/Hgl+f0yvLY6fbcFcANxXd1GcJDUZNWvivr4bmmHgkPNbRVUZBvq68qJZVprjVcnIB/A1\nPw3955/IHNgH3G7VkYQC0s8cXWGL5p49e9KwYXCJv3Xr1gwZMoQ6depEPdihCl4fj2G14hw/lswB\nvaC4OKbXFxWn/fknluXLMCwWPFdepTpOyioddAsA9hlToKREcRqRyEzbfsOUl0cgpxaBuvVUxxFH\nYWRkkj/jXfx16mJd9hUZw+8Gw1AdS8SY9DNHV9iiuXnz5ixYsIDt27eHpgLu2bMnFtlC3N1uIv/d\nuQSys7F98jHZ11+FaY+M8o5Htg/noQUCeC66BCMzS3WclOU7sy3eNm0x5eVhn/Oe6jgigenrgv3M\n3tPPkLd741zghBPJn/4ugbR07LPfwTn6SdWRRCy53ejr12FomuwnipKwDaerVq1i1apVh31M0zQW\nLVoUrUxH5G1/PnkffU7Wzd2wrF1DdudLyZ/+Lv7mLWKaQxxbqDWjy/WKk4jSQbdiWX0b9vFjg/2O\nUvCISrCE+pnlfOZE4G/VmsLxk8js04O055/Bf3J93GX9ziK56RvWoXk8+JqeKotWURJ2pXnx4sV/\n+xXrgrmcv3ETcj/+Am+7szHv3EH2NZ3kZI04ou3di2XZV9KaESfc13YlUKMGlg3r0L/7VnUckaD0\n0MkZUjQnCs+lnSh6+nkAMu4ZJt8nU4SlrJ/ZK/3MURO2aC4oKOCRRx5h0KBB5OXl8dBDD1FYWBiL\nbEdk1KxJ3nvzcV3bFVNhAVk3d8M+Y6qyPOIg28cLgq0ZF14kI5zjgd2Oq88AABwT5fg5UQmGEWrP\nkEmAicXVfxAld/8Tzecjc1BfzJt+UB1JRJle1s/sk37mqAlbND/00EM0bdqUvXv34nQ6yczMZOTI\nkbHIdnQOB4Xj3qJk6HA0n4+Mf96F86nHZdODYrZ5c4DgCqeID6X9B2GYTNjmz0GL8V4EkfhMv23F\nlJ+Hv1ZtAnXqqo4jjlPxqEcPLjD1uhHTH7tVRxJRZFklK83RFrZo3rFjB71798ZsNmO1Whk5ciS/\n//57LLIdm8lE8UOPUfjcSxhmM2ljniP9/hGqU6Usbf9+LMuWYOi6tGbEkcCJJ+G54io0rxennHUu\njpOlbBKgrDInKJOJwlfewHvWOZh/30lmnx5QVKQ6lYgCbd8+zNt+w3A68TdrrjpO0gpbNJtMJoqK\nitDKNhHt2LEDkyns3WLG1W8g+dNnYdjtOCZNwPb2NNWRUpLt4wVofj/eCzpiVKuuOo44RMmdwzA0\nDcerL4bGmwtREaF+5tZyPnPCcjjInzITX8NGWNZ9T+ZtAyHGU31F9FlWlx01d0YbGSoWRWGr36FD\nh9K3b1927drFsGHD6NGjB8OGDYtFtgrzXnI5hc+8AEDG/SMwr1+nOFHqsc37AJDWjHjkO+dcSu65\nH80wyLxjMKbfd6qOJBKELivNScGoUYOCt2cTqF4d22efkP7gfdLOmGSknzk2whbNHTt2ZPz48fz3\nv/+lS5cuzJkzh0svvTQW2Y6L++Y+lPbpj+ZykTW4L1p+nupIKUM7sB/LV4sxzGbcV16tOo44gpJ7\n7sdz0SWY9u8nc0g/8HhURxLxLhBAX7cWkJMzkoG/UWPyJ8/EsNlwvDUexxuvqY4kIshSdjSw9DNH\nV9iiuaioiPHjx/Pqq68yduxY3nnnHdxxOp6z6Mln8bY6HfNvW8kYeof8JB0jtoUfBVszOlyIUaOG\n6jjiSMxmCl6fgP+EE7GsWknaow+qTiTinPm3XzEV5OOvU5dA7dhOgRXR4TvnXApfeQOAtEcfxDp/\nruJEIiL8/kPGZ8tKczSFLZrvvfdefD4fTz75JI8++ii5ubmMGjUqFtmOn91OwYQpBLKysS38EMer\nL6lOlBJCrRky0CSuGTVqUDBhCobFgnP8WGwfzFYdScSxg+czSz9zMnFf342iUY8F27XuugV9pZzh\nnujMP/+EqagQ/wknyik3URa2aN65cycPPvggLVq0oGXLljz88MP88EP8nvcYaNCQwlfHApD230ex\nLPtKcaLkpuXlYlmyKNiacVUX1XFEGL427Sh64mkAMoYPxfzjZsWJRLzSZRJg0iod+k9K+w4MtjP2\n64lp66+qI4kqkKEmsRO2aD7ppJNYs2ZN6P9//vlnTj755CpfeP/+/Vx00UVs3bq1yo/1V54rOlPy\nj3vQAgEybx2Iac8fEb+GCLIu/AjN58N73gUYNWuqjiMqwDVwCK4buqOVFJM5qA9akbphRSJ+hYaa\nyEpz8tE0ip55Hs8ll2Hat4+sXjei5R5QnUpUkmwCjJ2wRfOuXbvo1asXXbp04brrrqNr166sX7+e\nTp06ccUVV1Tqoj6fj0ceeQS73V6p+1dE8f0P4ulwIaa9f5I5pD94vVG7ViqzzS8baNLlOsVJRIVp\nGoXPv4yvWXP0n38ifcRQ6f8XhwsEQu0Z3tay0pyUdJ2C8ZPxndYKfcsvZPbvBXG6X0kcmww1iZ2w\nh/m98sorEb/oM888w80338zYsWMj/tghuk7BGxOpdtkFWFYsJ+0/j1L82H+jd70UpOXnYV30BYbJ\nhPvqa1XHEccjLY2CidPIvrwj9jnv4z37XFxDbledSsQJ89YtwR7JuvUwatdWHUdEiZGeQf70WWR3\nvhTrN1+T8Y87KPy/8RBHsxhEGEVFmDf/gKHr+FqfrjpN0gv7yqhbty5bt25l7dq1h/06+eSTK9Wm\n8f7771OjRg3OP/98jCivbhm1alHw5mQMXcf5+itYF8yL6vVSjXXhR2heL97zOmDk5KiOI46Tv3ET\nCl8KHjuV/siD6N+tUJxIxAvpZ04dgXonkD/9XQLpGdjfn43z6f+ojiSOg2XtGrRAAN9prcDhUB0n\n6YVdab7ttttwu93Uq1cv9DFN0+jSpXKbvt5//300TWPZsmVs3ryZ+++/n9dff50axziqrFo1J7pu\nrtT1uOZyGD0aRowg6x93wPlnQdOmlXusCMjJyVB27Yj79EMArDf3SK4/VxUk3N/D4H6wYQ3aiy9S\n7baBsHo1yA9AR5Vwz29l/Rzc7G0775zU+TOTQs/vX118Hsx+F66+mrQXnyPttFNhyBDVqSIqaZ/b\nzcFhbpbz2yfvn7ECYvVnD1s07927l/nz50fsgtOmHRxz3bdvXx5//PFjFswAubklVbto78FkfrkE\n2/w5+K6/gdyPPwens2qPWQk5ORns3Zscm660gnxqfPIJaBr7L+yEkSR/rqpI2Od35ENkL1uO5bsV\neG7sQf4774O5kj+kJrGEfX4rIWv5CqxAfpMWeFLkz5xKz+8RtTkP++gxZNwzDOP228nPrIn34vgb\nZFYZyfzcZi5Zhg0oaHE67iT9M4YT6ef3WAV42PaMc845hxUrovO2raZpUXncI1yIwhdfxXdKY/RN\nG8m8bSCUVLEQT3HWTxeieTx4258vPY+JzmKhYPxkAjVrYl3yJWmPP6w6kVDpkEmAsgkwtbj6Dgie\nPOX3kzm4H+aNG1RHEsdiGAdPzpChJjFRoSPn+vfvz2mnnUbLli1D/42EKVOm0LBhw4g8VjhGRiYF\nE6cFB5988jHZN1yN9uefMbl2MrLNk1Mzkkmgbj0Kxk0K9f87Xh6jOpJQxLzlF0zFRfhPOFH2KqSg\n4n89hKtrN0xFhWT17o5p9y7VkcRRmH7fifnPPQSys/E3aqw6TkoIWzRPnjyZzz77jHXr1rF27drQ\nfxORv3kL8j78DP/J9bGsXkW1qy7F/NOPqmMlHK2oEOuX/8PQNDxyakbS8Ha4kMLXxmFoGun/eQT7\n1EmqIwkF9LVlmwBby/nMKclkovCl1/Ge0x7zrt/J7H2TnOUepyyHns8cq3fuU1zYorlWrVrk5ORg\nNpsP+5Wo/E1PJfejz/Ge2Qbz9m1kX305lqVLVMdKKNZPF6K53fjOPldGdiYZd9cbKXr6eQDSR/4T\na9k53CJ16N+vBsB3hrRmpCy7nfzJM/A1OgXLhnVk3DIAfD7VqcRf6HI+c8yF3QhYt25drrnmGtq1\na4fFYgl9/IknnohqsGgyatUi74OPyLzzFmwfzSerR1cKX3gFd49eqqMlhFBrxrXXK04iosE1cAim\nA/tJe+a/ZN4+mPyMTLwXXaI6logRy+pVAHjPbKs4iVDJqF6D/BmzqXb1Zdg+/4z0f42kaPQLsqIZ\nRzkQTMEAACAASURBVMpXmr3SzxwzYVeazzvvPG677Tbatm1L69atQ78SntNJwYQplNx2F5rXS+bQ\n23GOflImo4VTVIT1i88AcF8j/czJqmTEfZTcegea10vWgN6hzSYiyXm96OuD7Xey0iwCjU4hf8pM\nDJsNx+QJOF57WXUkUc7jOfhalR9wYyZs0dy9e3c6dOhAnTp16Nq1Kx06dKB79+6xyBZ9ZjPFTzxF\n4VPPYZhMpD33NBl33yajRI/B9r9P0FwuvGedQ6BuvfB3EIlJ0yh+/Clc3XuilRST1etGzJs3qU4l\nokzftDHYenVKY4zsaqrjiDjgO+scCv7vTQDSH38I67wPFCcSAPoPG9BcruBrtVp11XFSRtiieeHC\nhdxyyy089thj5Ofn061bNxYsWBCLbDHjGnwrBVPexnCmYX93Jlk9uqLl5aqOFZds8+cC0pqREkwm\nCl98DfcVnTHl5pJ10/WYtm9TnUpEkb6mrJ9ZVq7EITxdrqfokeCkwMy7bkX/VqaHqlbez+yTfuaY\nCtvTPG7cOGbOnEmfPn2oUaMGH3zwAYMHD+aaa66JRb6Y8XTqTN68j8nsfRPWr5eSfdVllN4xFEzH\n/rnCMJvxXHYFRs2aMUqqUHEx1v99AkhrRsqwWCgYN4msnjdgXb6MrO7XkTf/U4xatVQnE1Ggrwn2\nM/vObKM4iYg3pXcOxbxtK45JE8jq14Pcjz4n0OgU1bFSVqifuY30M8dS2KJZ0zTS09ND/1+7du3Y\nDSWJMV/rM8hb+AVZvbqjb9pIxj3DKnQ//0knkzf/EwL1TohyQrVsn36MVlqKt+1ZBE44UXUcESsO\nBwVTZ5LV9Ros69eS1fMG8ud8iJGZpTqZiDDLGtkEKI5C0yh68llMO3dg+9+nZN3cjbyPPscIM9FX\nRIe+umyluZ2sNMdS2KK5cePGvP322/h8Pn766SdmzJhB06ZNY5FNicAJJ5K34BMcr76Iac+esLe3\nrFmFvukHsnp0JW/uxxjVk/cLiH36VABc3XsqTiJizcjMIn/m+2R36YRlwzoy+/Qgf+b7SsbRi+jQ\nigoxb96Eoev4WibBZm8RebpOwbhJZF/XOfgDdP+byZs9D+x21clSinZgP/qvWzDsdnzNT1MdJ6Vo\nhnHs4yKKi4t59dVXWb58OX6/n/bt2zNs2LDDVp+jLZ5nxmu5B8i+rjP65k1427Qlf/Y8jPQjzy2P\n9Hz0WDJt30b1s1qD1cr+9T/JJqEjSOTnt6JMO7aTfU0nzLt34bruBgrHvZUyR1Al+/Nr+Xop2ddf\nhff0M8n7bLHqODGX7M9vJJn+2E32lZdg3vV78OvA2IlhWxlVSrbn1vr5p2TdfCPec9qTN/8T1XGU\ni/Tzm5Nz5BoOjrER8IMPgjtk09LSuP/++5kzZw7z58/n3//+d0wL5nhnVKtO/qw5oSmDmf17J+Xp\nG/aZ09EMA/fV10rBnMICJ51M/qw5BNIzsM99H8f4N1RHEhGir5Z+ZlExgTp1yZ8xO/R1IO2/j6mO\nlFL0ldLPrMpRi+YpU6bEMkdCC9SpS96sOQRyamH9ahGZdwwBv191rMjx+7HPnA6Aq3c/xWGEav5T\nm1H40msApD3yoOykTxLlkwDlG7GoCH+L0yiYOBVD13G+MoaMYXegVaClUVRdaBOg9DPHXPy+n5Jg\nAo1OIe+dDwhkZmFbMJf0kf9MmkEplq8WY965A//JDfCef4HqOCIOeLpcHxwM5POReUt/tL17VUcS\nVVS+CdB3hqw0i4rxXnQJhWNexbBYsM+cTvVzz8Tx8pikfLc1bgQCB4+GlB9wY+6oGwF//vlnLr30\n0r993DAMNE3j888/j2qwRORv2Yr8abPI7nE9jmmTMapVp/ihxH/byj4j+K6D6+becd23JmKr+OHH\nsaxZheXbb4Ljtmd9AGaz6liiErQ//8S8YzuBtHT8TZJ3o7eIPHePXvjOOpu0R0dhW/gR6f95BMfU\ntyh67Ek8na9OmT0PsWLe8gum/Dz8deom/Yld8eioRXP9+vUZN25cLLMkBd+57SmYMIXMfjfjfGUM\ngWrVKb37H6pjVZp2YD+2jxZgaBqunr3/v737jI6qXt8+/p3JzKQnk5gASueIoigdQRCRIiCoNEWQ\n4iOcAx6VIoqAVCkiNlAEFcWGKAcBRRRR6UWaEFBQUHpoCumTOmU/LyI5f49AKEl2Mrk+a7mWgcne\n157NDXf2/IrZcaQ4sdtJfft9olo1w7F+DSEvTCZj5FizU8llsO88+5S5rn7wkUvmrXYtqR/Ox75m\nFWFjRmDbt5fI//cgOc2a45r4PN4btcJDQbH9OTTDU6+BfiAxwXkfG9rtdsqXL3/e/+T8clq3JW3G\nmxgWC2ETxhA0r+SODw9atABLTg7uO1pqbWb5G9/V15A6+73cbeinvYTju+VmR5LL8N9JgFqfWS6f\n+46WJK3+nrQpL+JzOnGsX0tUy6aEDR+KJSHB7Hh+wf7nToBu7QRoivM2zfXqaVzblcju2g3Xcy8A\nEPbkIBxffmFyostgGHlrM2dqAqCch/u220l/JvcJc/ij/bEeOWxuILlk2tRECozNRla/ASRujiOz\nX3+wWAh+753c8c5vvwFut9kJS7S8TU3qazyzGc7bNI8dq49Zr1RWvwGkDxuJxecj4pG+8EXJapxt\nP+7E9vNufNHR5LRtb3YcKcYyHx9Cdtu7sKYkE9GvD2RlmR1JLpZh5K2coeXmpKAY0VfhmvISSau/\nJ6d5C6wpyYSNGk5UiybYV31ndrySKSMD28+7MaxW3LXrmp2mVNKsrkKW8dQIMv45AEtODnTsmLss\nT1Ki2bEuytlhJVn3d4fAQJPTSLFmtZI24028latg/3EnYaOeNjuRXCTr4UNYk5LwxZbRECwpcN4a\nN5Cy4HNSPpyPp2o1bL/uw9m9KxE97yfgwG9mxytR7D/uxOL14rnxJggNNTtOqaSmubBZLKRPmopr\n9LMQGJi7LM9tt+BYusTsZBeWmUng4oUAZPXobXIYKQkMZ1Tuuq2BgQTPfZ/AP9f2luItb2hGvfqa\nWCSFw2Ihp117ktZtwTVuEr6wcAK/+4aoZo0IHfsMlpRksxOWCGc3NdFSc+ZR01wUrFYyBz0Bu3aR\n07gJ1tN/ENmvNxH/ryfW30+Zne6cAr/6AmtqCu669TTzWS6a5+bauKa+AkD4008QsPsnkxNJfmxx\nmgQoRSQwkMzHBuWOd+71EHi9hLz5OtG31iPow/f8a1OwQmD/czyzNjUxj5rmonT99aR8voy0qa/g\nCw0jcNlSom67haCP5xa7jVCCPs6dAJj1oCYAyqXJerA3mQ/2xpKVRUS/3lhSU8yOJBdg36FJgFK0\njDJlcL0yg+Tv1uY+SDpzhvCnBhPV+nbs328wO16x9Zfl5sQUapqLmtVK1sP/JGn9FrJb3Yk1JZnw\nIY8ReX+nYrPqgPXQQRwb1mEEB5PduavZcaQEck15CfdNtbAdOkjkA521Y2Bx5XZj+2kX8OcazSJF\nyFOrDilLvib17ffxVqiIbc9PODu1J6JfH6xHj5gdr1ixnjhOwMkT+CIi8V5b3ew4pZaaZpP4KlQk\n9eOFpM56G190NI51q4lu3pjg2bNM/4gq6D+5Y1Gz7+6IERFpahYpoYKDSX3vI7wVKmLf/gNRd7Ui\n4LdfzU4l/yNg7y9YsrLwVK2GERVtdhwpjSwWsjt2IXHjD6QPH4UREkLg0s+JbtqAkCkTwOUyO2Gx\nYPtzfWZP3XramddEeufNZLGQfd8DJK7fRlbnrlgyMggbPYKopg0IeudNLK60os/k9RI0/2MAsrQ2\ns1wBX+UqJH29CnedugQcPYyzQ2t99FrM2DWeWYqL4GAynhxO4vfbyeraDUt2NqHTXiK6SX0CF3wC\nPp/ZCU1jSUgg+N3cHZq1qYm51DQXA0ZsLGlvvUfKh/PxVqyE7eABwp95muhaNQgdPRzroYNFlsWx\nZiUBJ47jqVoN961Ni+y84p+MsmVJ/mwZ2e3aY01OJvL+jgR+Ot/sWPKnvEmA9dQ0S/Hgu6Y8aW+8\nQ9JX3+GuW4+AUyeJeHwAzg6tsf2w1ex4Rc6+bg1Rd9yKY+N6fBGRZN/3gNmRSjU1zcVITrv2JG7Z\nScqcubmTI1xphMx+g+jGdYno/QD2dWsKfcLg2R0As3v00vJTUjBCQ0l9bx4Z/f+Nxe0m4rH+hLw8\ntdhNfi2NNAlQiitPw0Ykf72K1Blv4i1bLneYV/vWhD/6L6wnT5gdr/Dl5BA6cRyR93ck4PdTuG9p\nTNLqjRrPbDI1zcWNzUbOPR1J+WI5SSvXk9W9J9jtBH7zNc777iWqeePcpXkyMgr81JYzZ3B8swzD\naiXrgQcL/PhSigUEkD5pKmnPvYBhtRI6dTLhgx+FnByzk5VeLhcB+37BsNnw3FTL7DQif2e1kv3A\ngyRu2kH6kKcwAgMJWvgfom+tR8grL0BmptkJC4X14AGcd99JyIxpuXs9DBtJ8ufL8FWsZHa0Uk9N\nczHmubk2aa+9QULcL6SPGI23bDlse38h/KnBXFWnBsEzpoPHU2DnC1o4H4vbTU6rO/FdfU2BHVfk\nrKx/PkLq+x9jhIQQNH8ekT26amMDk9h/2oXF58vdXSw42Ow4IucXFkbGM2NJ3LCN7Ls7YsnIIPT5\nSUTf1hDH0s/951MrwyBw/jyiWjXDvjMOb8VKJC9ZTsawkWCzmZ1OUNNcIhixsWQMfZrE7btJfeMd\n3PUbYE1OJmziWJztWhLw048FcBLjv2szawdAKUQ57dqTvORrvGXK4li/FmeHO7W8lAlsfw7N8NSp\nZ3ISkYvjq1yF1HfnkvzZV3huvImA+KNE9utDZKf2BfPvoIksqSmEP9KXiEH/xpruIqtTF5JWbcDT\nqLHZ0eT/UNNckjgcZHftRvLXq0ievxhvxUrYf9xJVJvmhDw3AbKyLvvQtrjt2Pb+gi8mhpw27Qow\ntMjfeWrXJfnrlXhq3IDt131EtWuZt16wFA3bzh2AJgFKyeNu2oykletJe3E6vquuwrFpI1GtmxH2\n5KASuSa8bdsWolreRtBnizBCQkl97Q3S3noPI9JpdjT5H2qaSyh3y9Ykrt1Mxr8eAZ+P0OkvEdWy\nKbYtmy/reGcnAGbd3wMcjoKMKnJOvoqVSP7yW3Jub4H1zGki+vTAkpBgdqxS4+xyc5oEKCVSQABZ\nD/UlcXMcGQMeg4AAgue+T3TjugTPmlEy5kt4vYS8PBXnve0IOHoEd+26JK1cR3b3npqIX0ypaS7J\nwsJIn/wCyUu/xVP9Omz7f8N5b1vCRj518Ws8Z2Rg27yJwM8WArlbIIsUFSMikpSPP8VdvyEBx48R\n8e9+pm/uUxpYTp8m4OgRjJBQvNddb3YckctmRDpJnziFpLWbyW7dBmtaKmHjRxF1eyMc335dbMc7\nW4/FE9m5A6FTJ2Pxesl4bDDJX32H9x9aHaM4U9PsBzy3NCJp5QbShw7L/Wl7zmyibm+MfdWKv77Q\n5yNg/28Ezp9H2NNP4Gx9OzH/KE/UvW2xutJw12+I9/oa5lyElF4OB6lzPsz9mHXNqtzl6KRQ2Xf+\n+ZS5Tl0ICDA5jciV81a/jtSPF5Ly8ad4rq2O7eABIns9QGT3LvDLL2bH+wvH0s+JatEUx+bv8ZYt\nR/KnS0gfN1Gf8pYAmo7pL4KCyBgxhuy7OxH+xOPYd8Xh7N6FrPu7461UGfv2bdjidmD9n5UKDKsV\nz4034a7fgMwBj5kUXko73zXlSX1jDpEPdCbk5am4GzTE3fJOs2P5rbxJgBqaIX4mp3Vbcpq3JPjd\n2YS8+DyO1Svh5psJ7fsvMoaNxHBGmRcuPZ2wMSMI/ugDALLb3kXatJkYMTHmZZJLYjGMov3swuPx\n8Mwzz3D8+HHcbjePPPIILVu2vOD3nD5twnbShSA2NrxorsXjIfjNmYS+MBnL/0wO9Ja7Gk+9Brjr\nN8RTvwHuWnUgLKzwM5UCRXZ//VjIKy8Q+vwkfFFRJK1YX6zWJfWn+xvZvQuOVStIeecDcu7tbHac\nYsGf7q/kspw5Q+jUyQTPfQ98PnzR0aQ/PYqsPg8X+RJuth93Ej6gL7YD+zECA3GNn0xW339p7HIB\nKOjajY0NP+/vFXnTvHjxYvbt28fIkSNJSUmhU6dOrF69+oLf4y9/kRX1X8oBB/cT/MZMjNBQ3PUb\n4KnfEN815Yvs/KWN/tEtAD4fEb26EbjiW9x165H8xTcQGGh2KsCP7q9hcNUNVbEmJpKwfXex+sHE\nTH5zf+VvYk8eIuexgTg2rAPAc8ONuCY+j/v2Owr/5D4fwW/NInTSOCxuN54aN5D65rt4b6xZ+Ocu\nJYqyaS7yMc133XUXgwcPBsDn82HTgt2FxlvtWlwvTiN9/CRy7umkhlmKP6uVtJmzc5dTjNtB2JgR\nZifyO9Yjh7EmJuKLicVXoaLZcUQKX61apCxaSsq7H+GtVAXbLz/jvO9eIh56EOuhg4V2WsvvvxPZ\noyth457B4naT2fdfJH2zRg1zCVbkTXNwcDAhISG4XC4GDx7ME088UdQRRKQYM6KiSZ3zIYbDQfD7\ncwhc+B+zI/mVvKXm6tXXR8NSelgs5Nx9L4kbtuIaNQ4jJJTAr78kutkthE4cd/ErTl0kx4pviG5x\nK47VK/FFR5Py4Xxcz7+s3TdLuCIfngFw8uRJHn/8cXr16kXnzvmPp/N4vNhsmuEtUqq89RY88giE\nhMCWLXDTTWYn8g9Dh8K0aTBhAowZY3YaEXOcOAHPPAMf5E7Ko2xZmDIFHnoIrFfwPDErC0aMgFdf\nzf26VSv48EO45porzyymK/Km+cyZM/Tp04exY8fSuPHFbQ/pL+PMNGbOv+n+FjDDIHzgIwQt+ATP\nP64l+ds1GOERpsXxl/vrvLsN9q2bSZ6/GHfL1mbHKTb85f7K313o3tp2/EDYqOHYt28DwF27Lq5J\nUy9r++qAfXuJeKQftj0/YdhspI8cS+Zjg66sCZd8+fWY5rfeeovU1FRmzZpF79696dOnDzklYece\nESlaFgtpL0zDc0NNbAf2Ez7k8WK7UUGJ4fHkbVfuqVPX5DAi5vPUa0DyshWkznob79XXYN8VR9Q9\nbQgf8DDWY/EXdxDDIOiDd4lq0xzbnp/wVK1G8lffkTlwiBpmP2PK8IxL5S8//etJhn/T/S0cAQf3\n47zzDqxpqbgmTjFtPXF/uL8Bu38iumVTvFWqkrh1l9lxihV/uL9ybhd9b9PTCZkxjZBZr2HJysII\nDibjscFkPD4kd5jYOVgSEwgfOojAZUsByOreE9dzL2CEnf9ppRQsv37SLCJyKbzVriXt1VkAhD47\nBvvm701OVHL9ZRKgiPxVaCgZI0aTuPEHsjp2wZKZSehLzxPdtAGBny382ydd9g3riGrRlMBlS/GF\nR5D61rukvfaGGmY/pqZZRIq9nLvvJePfA7F4PET07k7Az3vMjlQi2eK0E6BIfnwVK5H29vskf7Ec\n9821CTh+jIgBfXHe0xbbrjhwuwl5bgKRXe8h4OQJ3A0bkbR6I9md7zM7uhQyNc0iUiKkj3mW7A73\nYk1JJrJbJ6yHD5kdqcSx/7l9trtuA5OTiBR/7sZNSP52DWnTXscXE4t962acbe4g+tb6hE5/CSwW\n0p8cTvKSr/FVqmx2XCkCappFpGSw2Uh94x1ymjUn4I/fcd7fEevvp8xOVXKkpxOw92eMgAA8N9cy\nO41IyRAQQFbPPiRu3kHGo4PAZiPg6GG85SuQ8vkyMoaPKvItucU8appFpOQICiL1g49x16lLwJHD\nRHbrjCU5yexUJYL9p11YfD48N9TUBgsil8iIiCR9/CSS1m8hbcpLJK3eiLtxE7NjSRFT0ywiJYoR\nFk7KJ4vxVL8O2y97iOzZDdLTzY5V7Nm2bQXAU7eeyUlESi5vtWvJ6tcfwxlldhQxgZpmESlxjKuu\nImXB53jLV8C+bQuR/XqD1nu/IMfqFQC4mzU3OYmISMmkpllESiRf+QqkfLoEX0wMjlUrCB84ALxe\ns2MVS5a0VOybv8ewWsm5o6XZcURESiQ1zSJSYnmvrU7K/MX4wsIJ+mwRYSOf0q6B52BfuwaLx4On\nYSN9rCwicpnUNItIieapVYfUufMxAgMJfn8OIVMnmx2p2HGs/BaA7NZtTE4iIlJyqWkWkRLP3bQZ\nqbPfxwgIIPSVFwiePcvsSMWHYeBYkds057RS0ywicrnUNIuIX8i5qwNp014HIGz0CEKfGYb10EGT\nU5kvYPdPBPx+Cm+5q/HWvMnsOCIiJZaaZhHxG9nde+KaOAWAkHfeIrpxXSJ6dcO+dnWpHesc+OfQ\njJzWbcBiMTmNiEjJpaZZRPxK5oDHSFy5gcwevcDhIPDb5Tjv70jU7Y0I+uBdyMgwO2KRcnz3DaCh\nGSIiV0pNs4j4He/NtXC9OouEHT+TPmI03rLlsO3bS/iwIVxVpwahE8ZijT9qdsxCZ0lMwLZ9G4bd\njrv5HWbHEREp0dQ0i4jfMmJjyRj6NInbd5P65hzc9RtgTU4m5PXpRDesRUTf3lgPHzI7ZqFxrFmF\nxefD3bgpRli42XFEREo0Nc0i4v8cDrK73E/y16tI+nolWV3uB6uVwC+X4OxyN9YTx81OWCjyVs3Q\nUnMiIldMTbOIlCqe+g1Je3MOiTv24K7fkIBj8UR264QlIcHsaAXL683bOltNs4jIlVPTLCKlkq/c\n1aR8/CmeG27E9us+Ih/sisWVZnasAmPbuQNrQgLeSlXwXlvd7DgiIiWemmYRKbWMqGhS/vMZ3kpV\nsMftIOKhnpCdbXasAvHfoRl3aqk5EZECoKZZREo1X7mrSV7wGb7YMjjWryHikX7g8Zgd64o5Vmo8\ns4hIQVLTLCKlnq/aP0he8Dm+iEgCv/qCsGFDSvRmKJY//sC+Mw4jKIicJs3MjiMi4hfUNIuIAN6a\nN5Ey71OM4GCC531I6ISxZke6bI5V3wGQ07QZhISYnEZExD+oaRYR+ZOnUWNS352LYbMRMvNVgl+b\nZnaky+JY+WfTrKEZIiIFRk2ziMj/kdOqDWmvv4VhsRA2aRxBc983O9Kl8XhwrF4JaOtsEZGCpKZZ\nROR/ZHe5H9dzLwIQNmwIjqVLTE508ew/bMWamoLn2ur4qlQ1O46IiN+wmR1ARKQ4yurXH2tSIqEv\nPEfEI33hw3eI9Pgu+D1GSAgZTw7HU69BEaX8u7yl5vSUWUSkQKlpFhE5j4wnh2NJTiJk9huwdi2O\ni/gee9x2klZuwHf1NYWe71y0dbaISOFQ0ywicj4WC+kTnyerey+iySY5OeOCLw+Z/jKOdauJ6NeH\n5M+XgeNi2uyCYz1xHNvPuzFCQnE3blKk5xYR8XdqmkVELsRiwXvTzRAbjvv0hbfZTq1xI1Gtm2H/\nYSuhE8aQPmlqEYXMlbdqxu13QGBgkZ5bRMTfaSKgiEgBMWJiSH3nAwy7nZDZbxC4ZHGRnl9DM0RE\nCo+aZhGRAuRpcAuuZycDEDbkcQJ++7VoTpydjX3dGgByWt1ZNOcUESlF1DSLiBSwrH4DyOrcFWu6\ni4i+vcDlKvRz2rdswpruwnNDTXzlKxT6+UREShs1zSIiBc1iIe3lGXiuux7bvr2EPzUIDKNQT6mh\nGSIihUtNs4hIYQgLI/XdjzBCQglavJCgd98u1NM5VqppFhEpTEXeNBuGwbhx4+jevTt9+vQhPj6+\nqCOIiBQJ73XXkzb9dQDCxo7Etn1boZzHevgQtt9+xRcRibvBLYVyDhGR0q7Im+YVK1aQk5PD/Pnz\nefLJJ5kyZUpRRxARKTLZnbqS8c8BWNxuIv75EJaEhAI/R95T5jtagt1e4McXERETmubt27fTrFkz\nAGrXrs3u3buLOoKISJFKHz8Zd/2GBBw/RsS/+4HXW6DH13hmEZHCV+RNs8vlIjw8PO9rm82Gz+cr\n6hgiIkXH4SB1zof4rroKx5pVhLz0fMEdOyMDx8b1AOS0aF1wxxURkb8o8h0Bw8LCSE9Pz/va5/Nh\ntV64d4+KCsFmCyjsaEUiNjY8/xdJiaX769+u6P7G1oD586FNG0JfeYHQdavAYrnyUBkZkJUF9esT\nc9O1V368Ukz16790b/1bUd3fIm+a69Wrx+rVq2nXrh07d+7kuuuuy/d7kpIyiiBZ4YuNDed0Ptvw\nSsml++vfCuT+1m5E8KhxhE0aD9sKdlKgq31HMvXn77Kpfv2X7q1/K+j7e6EGvMib5jvvvJONGzfS\nvXt3AE0EFJFSJXPQUHLuvhdLUlKBHdMIDMJ7Y80CO56IiPxdkTfNFouFZ599tqhPKyJSbHiraRiF\niEhJo81NRERERETyoaZZRERERCQfappFRERERPKhpllEREREJB9qmkVERERE8qGmWUREREQkH2qa\nRURERETyoaZZRERERCQfappFRERERPKhpllEREREJB9qmkVERERE8qGmWUREREQkH2qaRURERETy\noaZZRERERCQfappFRERERPKhpllEREREJB9qmkVERERE8qGmWUREREQkH2qaRURERETyoaZZRERE\nRCQfappFRERERPKhpllEREREJB9qmkVERERE8qGmWUREREQkH2qaRURERETyoaZZRERERCQfappF\nRERERPKhpllEREREJB9qmkVERERE8qGmWUREREQkH2qaRURERETyoaZZRERERCQfappFRERERPKh\npllEREREJB9qmkVERERE8qGmWUREREQkH7aiPqHL5eKpp54iPT0dt9vNiBEjqFOnTlHHEBERERG5\naEXeNL/33ns0adKEPn36cOjQIZ588kkWL15c1DFERERERC5akTfNDz/8MA6HAwCPx0NgYGBRRxAR\nERERuSQWwzCMwjr4woUL+eCDD/7ya1OmTOGmm27i9OnT9O/fn1GjRtGgQYPCiiAiIiIicsUKtWk+\nn3379vHUU08xfPhwbrvttqI+vYiIiIjIJSnypnn//v0MHDiQ6dOnc/311xflqUVERERELkuRngcK\nCwAAFLpJREFUN82PPvoo+/bto3z58hiGQUREBDNnzizKCCIiIiIil8SU4RkiIiIiIiWJNjcRERER\nEcmHmmYRERERkXyoaRYRERERyYeaZhERERGRfKhpFrlIKSkpZkcQkcuk+hUpuYpL/QaMHz9+vNkh\n/IHb7Wbx4sVkZGRQpkwZAgICzI4kBcTr9fLqq68yb9484uPjCQ0NpUyZMmbHkgKk+vVfql//p/r1\nX8WtftU0F4CDBw/Sv39/7HY7P/74I4cPH6Zy5cqEhIRgGAYWi8XsiHIFVq9ezQ8//MCECRM4ePAg\nmzZtIjo6mrJly+r++gHVr39T/fo31a9/K271q+EZBeCPP/6gbdu2jBkzhr59+5KTk8P8+fMBVLAl\n1IEDB8jJyQFyt31v3LgxV111FXfffTfXXnstX3zxBaD76w9Uv/5H9Vt6qH79T3GuXz1pvgynT5/m\nlVdeIT09neDgYE6ePMny5cvp2LEjERERBAUFsXnzZipWrEhMTIzZceUSuFwuXnjhBebOncuhQ4dI\nTEykVq1avPzyy/Ts2ZPQ0FAcDgc///wzsbGxxMbGmh1ZLpHq13+pfv2f6td/lYT61ZPmS3TgwAGe\nfvppypQpQ0ZGBoMGDaJVq1acOXOGlStXYrfbufrqq4mOjiYxMdHsuHKJduzYQWJiIosWLaJPnz68\n8sorVKlShapVq/L2228DULlyZTIyMggLCzM5rVwq1a9/U/36N9WvfysJ9Wsz5awlkM/nw2q14vP5\niI6OZsCAAQCsW7eOt99+mzFjxjBu3DhatWpFuXLlOHXqFEFBQSanlothGAaGYWC1WrFarcTExJCa\nmkrFihXp0qULU6ZMYfz48Tz44IPUr1+fxMREjh8/jsfjMTu6XCTVr/9S/fo/1a//Kmn1qyfNF8lq\nzX2rXC4XsbGx/PrrrwCMGzeOjz76iBo1anDLLbcwadIk+vbti9fr5eqrrzYzsuQjISEByB0XZbVa\ncblc2O12DMPg2LFjAAwZMoS4uDhSU1MZPXo0GzZsYP78+Tz55JNUrVrVzPhyCVS//kf1W3qofv1P\nSa1fjWk+j9TUVBYtWoTNZiMyMpKAgAA+/fRTatSowebNmwkJCaFMmTJERUXxxx9/cPToUR5//HGq\nVq1KhQoVePTRR/XxXzF1dtzU4sWLSUhIyLtPL7/8Mp07d2bLli1kZ2c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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -544,14 +541,14 @@ } ], "source": [ - "temp.plot('r', linewidth=2)\n", + "temp.plot(color='r', linewidth=2)\n", "plt.ylabel('Temperature' + ' (%s)' % fm.var_units['temperature'])\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')') " ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 22, "metadata": { "collapsed": false, "scrolled": false @@ -560,18 +557,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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rDwDFI188Uo5qMIYvIiJRNA3KqZMAon/NFwAEWrWGlpwM5fQpyMePiS6HSBiGLyIiQeRz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\nMD78R955PIifOAG1nvk1JI8H7jFjkfP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ZzdXYNWUNkBPUlFKTqTm+V6OpeUjFStOysiY1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\nL/75z3+ybds29uzZw8iRI7nxxht5/PHHKSkpwW638+ijj9K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/EmnSNOPfeskEmlghIiLJFl857p7Zm/GgBivHXq+Xk046ia5duzJ48GA2btyI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\nkffogzQ/6hByXpwK4XDyM2S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Oa/zjd8L698aQl4er32O4ho4otWNXZMVvEIKW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\nFkKIAJbXO5aCps0wHU8h5K1yvqOp00lobC9Mx5IpaHE72XP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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -579,37 +576,34 @@ } ], "source": [ - "wind.plot('r', linewidth=2)\n", - "plt.ylabel('Wind Speed' + ' (%s)' % fm.var_units['wind speed'])\n", + "wind.plot(color='r', linewidth=2)\n", + "plt.ylabel('Wind Speed' + ' (%s)' % fm.var_units['wind_speed'])\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')') " ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": { "collapsed": true }, - "outputs": [], "source": [ - "## Instanciate forecast model " + "## Instantiate RAP forecast model " ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 23, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "# initialize RAP forecast model\n", "fm = RAP()" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 24, "metadata": { "collapsed": false }, @@ -621,7 +615,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 25, "metadata": { "collapsed": false }, @@ -632,7 +626,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 26, "metadata": { "collapsed": false, "scrolled": true @@ -641,18 +635,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 17, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Kn4uLi9W0aVO1aNFCJSUlNRKuJnXp1FCmTDlc5SoqLrM6DgAAAIAqqvSytD/8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\nqqpi/vz5TJgwwVk/UK3q18put7N8+XLi4uKorq6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RuPPOO7n22muZM2cOzzzzDFFRUaxcuZKSkhL+8pe/8Morr7B161aCg4OpqKgA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\nKtpb+3n3td3s2tbEknNzSUqRbobBwpKaxOz772Xrg4+S1F6D5+nfsc1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p5EyNl9GNEcPD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\nf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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -661,7 +655,7 @@ ], "source": [ "for varname in cloud_vars:\n", - " data[varname].plot(fmt='-', linewidth=2)\n", + " data[varname].plot(ls='-', linewidth=2)\n", "plt.ylabel('Cloud cover' + ' %')\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", "plt.title('RAP')\n", @@ -669,31 +663,28 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": { "collapsed": true }, - "outputs": [], "source": [ - "## Instanciate forecast model " + "## Instantiate HRRR forecast model " ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 27, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "# initialize HRRR forecast model\n", "fm = HRRR()" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 28, "metadata": { "collapsed": true }, @@ -705,7 +696,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 29, "metadata": { "collapsed": true }, @@ -716,7 +707,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 30, "metadata": { "collapsed": false, "scrolled": false @@ -725,18 +716,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 39, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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SGxERERGRAJGTk8PGjRt5/fXXsdvt/PCHP2Tt2rWMGjWKrVu3cvjwYfr378/69esJCwtj\nwoQJpxzriSee4N5772XChAl8/PHH7N27FwDLsli2bBnx8fH84Q9/oLa2lhkzZjBu3LgTnn+8QrNr\n1y4yMjJYsWIFNTU1XHXVVQCsWrWKqVOncvvtt7Nq1SqqqqqU3IiIiIiItDdnU2FpbZZlsW/fPq64\n4grsdjsAI0eO5MCBA3zjG9/g008/paCggLlz5/Lhhx9it9uZOXPmKcfLyclh2LBhAFx55ZUAvPvu\nuwBkZ2czfvx4AMLDw0lLSyMvL+8r8QAcPnyYiy66CICIiAj69euHYRjce++9PPvss9x+++0kJSUx\ndOjQC54D7bkREREREQkAhmEwcOBAduzYgcfjwbIsMjIy6N27N+PHj2fz5s1UVlYyadIkdu/ezf79\n+1uSjpNJS0tj165dAKxcuZKlS5eecC0jIwOAmpoaMjMz6d69O8HBwZSUeJfj7d69G4C+ffuyc+dO\nLMuirq6OrKwsLMti5cqVzJgxg8WLF9O3b19ef/31C54DVW5ERERERAJEr169GDFiBDfffDOmaTJq\n1CgmT54MQNeuXenWrRuGYdCnTx/i4uJOO9ZPfvITfvGLX/DMM88QFhbG7373O3bv3o1hGNx44408\n/PDDzJ49m4aGBu677z5iY2O59dZbeeSRR+jatStJSUkADBgwgEmTJnH99deTmJhIfHw8hmEwZMgQ\nfv7znxMaGordbudXv/rVBX/9hnW8XtSOlZZW+zuETiUhIVJz3sY0521Pc972NOdtT3Pe9hISIv0d\ngkinpsqNiIiIiEgn5XK5uPPOO7/y+d69e7dKJaWtKbkREREREemknE4nS5Ys8XcYrUYNBUTkvDQ1\nuSkq1nIXERERaT9UuRGRc1ZZWc/iv2/C4TYZMK4XV17Wx98hiYiIiKhyIyLnpr7BxZKXMnC6LQwM\n9nyey/4DR/0dlkirO1Jaw+v/2MmSV7bidpv+DkdERM6CKjcictbcbpOX/r4ZR6MHtwG2UCf2Ohf/\n/udukr47hpiYUH+HKHJBmprcrP38MPt2HsGobcLAe7r22g2HuWJCbz9HJyIiZ6LkRkTOimmavPTS\nZoyaJjzA1745mJ7do1n47Oc43RZLX97CvT8Yj8OhgrB0PPsPHGX9+hxqjtTgsLzLGizAbYDDgsOH\nykHJjYhIu6fkRkTOyiuvbcddVo8JjP56Xwb1TwDguhuHsvLV7Tjq3Sx9dRt33DbSv4GKnKVjVQ2s\n/jSbvMyjOFzeZWcOwGU3SErtwmWTerN3Xyn7Ps/l2NE6/wYrIiJnRcmNiJzRm2/tpiavCguLAeN6\ncsnI7i3XevWMYeSVaWz/OIv6wmo++OgAUyan+zFakVMzTZNNWwrYvqUAT2UDNrw/CD1AUGwoI8f0\nYPiQZGw2bwXSYbex7/NcbI1u6htdhAY7/Rm+iIicgZIbETmt/6zKonhfCQYG3S5K5muXpX3lMePH\n9KAgv5KjmWUczChgV0oUFw9K8kO0IieXX3iMT9ccoiy3EmdzbwAb4A6203tAApdP6kNEeNBXnhcX\nF4bHZuAw4Yv9Rxk9pGvbBi4iIudEyY2InNL6TXkc2JyHDYPo1Biumz7wlI+9/puDeeGFTVDRwOp3\n9pKUGEFifHgbRityooYGN5+uy+HAF0ew1bswMHACLgNiukUxYUIqfVJjTzuGYRiERAXjqmzgQKaS\nGxGR9k7JjYic1M7dxWz9+CB2DIISwpl145DTPt5ms3Hb7SN54enPcbpMXl+ylXt+MI6gIH2bkba1\na08xmzbkUldSiwOwAyZgRAZx0fAUxo3peU6NL5K7RZFX2UDpkSpfhSwiIq3Ep791/POf/2TFihUA\nNDY2sm/fPl599VUeffRRbDYb6enpLFiwAMMwfBmGiJyj7JxyPn13r/cbRGQQd3xnZMsehNMJDXFy\nwy3DefPlLTgaPSxZuo05d472ebwiZRV1rP4km8KDZTjdFtDcHMBhkNInjisu70NcbNh5jT2gfwJ5\nu0tw1bhwuU2c6ggoItJuGZZlWW1xo1/96lcMHDiQjz/+mDvvvJPRo0ezYMECJk6cyOTJk0/73NLS\n6rYIUZolJERqzttYe5rzI6U1LH8pA6cJ7hA7d987jpCQc3sfJGN7IRs/2I8Ng24XJ3HttFMvZ/OX\n9jTnnUVrz7nbbfL55ly+2FaIWdWIrflMGg8QkhDOmLE9GTL4wvd+NTW6+fufPsPC4spZQxl4hqVs\n7Yle520vISHS3yGIdGptsl5k165dZGVl8Ytf/IK//vWvjB7tfSd30qRJrFu37ozJjYi0jWNVDSx/\neQtOE1wOG3fMGX3OiQ3AqGEpFOQfo/CLYvJ2HWFL92hGDk3xQcTSGWXnVvDZmkNUFlThbH57zgA8\noQ76Dk7isgmphIa0XlezoGAH9hAHZoObPftKOlRyIyLS2bRJcvPcc89x3333AfDlQlFYWBjV1XpH\nSaQ9aGhws3jhZpxuC5fNYNbtI4iKDDnv8a6bPpC/H6nGdbSO9R9kkpIcSdckvaMp56e2rolP1hwi\ne28JjkYPQEtzgNie0Uya2Iee3aN9dv8uieGU5R4jP7fSZ/cQEZEL5/PkpqqqipycHMaMGQNwwrr9\n2tpaoqKizjiGSrxtT3Pe9vw55y63yRO/XYWjwYPbgFvvGUu/vvEXPO79P76M3z7yIY4GN2+8sp2f\nLphMaMhX2+36S0d7nX/48QG2bykgPDKIuPhwkpOj6NUzhm4p0R1mH8i5zLlpmmzMyGfNJwepK67B\njveHlon3TJpLJqRy+aV9sLfB137xkBQ+yT1GXWUDsbHh2O0dY76h473ORUQuhM+Tm82bNzN27NiW\njwcOHMimTZsYM2YMa9asYdy4cWccQ+uF25bWaLc9f865aZosfCkD81gDHuDyawbSJTq41eK58ZZh\nLFuYgbPJwx//8Cl33T3mrJoT+FpHe52vfHcv+V8cwcCg/ggcPVDG/uZrFhZum4ERZCco1El4ZDAx\nXUKJTwina3IkKcmROB12v8YPZz/nJaU1rP4km+KcCpweb7XfDricNnr0i+eKSX2IifZWFcsran0Z\ncovERG9b81DTYsvuInp3PfMbc+1BR3udBwIlkyL+5fPkJicnh549e7Z8PG/ePB5++GFcLhdpaWlM\nmTLF1yGIyGm8tnwnrtI6TCxGXNm31Q/fTEyI4PLpA1n7zl6oaOCfK/dy/TcHt+o9At0/3tzF0QNl\nGBg44sNwOm3U1zThanBjuE0cluE9mLLBg9ngobqigercY+QB22hOfoz/Jj9hkUHEdAkjLj6clOQI\nUpIj/d6y2+X2sHbdYfbuLMKobWo5k8YNRCRHMHZ8Lwb2S/BbfF3iw8FmEGzC3oNlHSa5ERHpbHz+\n02zOnDknfJyamsqSJUt8fVsROQtvv7uXqpxKLCzSR/dg/JgePrnPkMFJ5Bcc4/DWQor3lbAhI4qx\no3xzr0Bimiavvb6DqsPHAIhLj+PG6y/+yuNq65ooKKqiuLiGo0frOFZZ35z8uDBczcmPBTR6MBs9\n1FQ2UJNXRT6wgy8lP047zubkJzomlPj4MLomR9ItJYpgHyU/mQePsv6zHKqP1OCwwAZYgBnmpP+Q\nZCaN7+X3xAvAZjMIjwmhtrye7INlMKG3v0MSEZGT8P9PDBHxi1WfHKSgeZlT8qBEvvG1vj6939Rv\n9OOloioaimrY/NFBUpKjfLoBvKMzTZOXl2yloagGC4tuFyVz3fSTt9QODwuiX1o8/dJOvk+qvsFF\nYVE1RUeqKSvzJj911Y246t1YLg8OC2/y0+TBavJQe6yB2vwqCoGdeJMfj2GA044zxEFoc/ITFx9G\nclIk3VOizqk7WVV1A6s/PURuZimOJhNoPpPGZpCYGsNll/Vpl80nuveMYX95PeUlNZiWhU1ntImI\ntDtKbkQ6oY1b8tm3IQ8bBhE9ophxbdssE7v1lhH87en1OOrdvLVsO3O+P47wsPbTYKC98JgmCxdm\n4D5ah4VFn1HdmTI5/bzHCw1xktY7lrTeJ29h3NjkpqCwiiPFNRwtraWysp66miZc9S6sJm/y4/hS\n8lNX1UhdQTVFwBfNY7gNwGHDEeogNCKYqJgQ4uPCSU6OoHvXKEJCHHz62SHWfpKFq6KhpTmABwjq\nEsKIMT0YMbRru9iPdSqpvWPZv72III9F4dFauidE+DskERH5H0puRDqZPftK2PxhlveXy7hQbrl5\nWJvd2+GwMfv2kSx9fiNOt8XiRVu4595L2vUvtG2tqcnNwhc3Yx1rxAQGXZrKFRN9uwQqOMhBn9RY\n+pzi/JamJjdFR2ooPFLN0aO1HKusp7a6kaa648mPhcMywGWCq4n6qibqC6spppTdzWN48DYFoPlP\nd7Cd1P4JXD6pN5ERwT79+lpLUop3n004sD+3QsmNiEg7pORGpBM5nFvJqrf34ACsiCC+853RbZ5Y\nxMaE8vVvDmbVit3YqxpZ/uYuZs0c2qYxtFf1DS4WvrAJW60LDzDyyjTG+Wgf1LkICnLQq2cMvXrG\nnPS6y+2h6EgNRcXVlJbWUFlRT11VI43NlR+7aWHHwG1AVEokEyb0PmUVqT0LjwzGEeKABjeZB8v4\n2kj//9uIiMiJlNyIdBKlZbW8vWwHTsv7rvldd43G4aezUQb2S6BgbA8ObMij/GA5a9fnMHF8ql9i\naS9qaptY9MIm7A1uPMC4q/sxcmiKv8M6K06HnZ7do0+5h8rtNjlaUceAfklUtlHrZl9JSI6kKKeC\nIwVVWJaFoX03IiLtitaCiHQC1TWNvLZoC07TwuUwuPXO0ee0AdwXJl+eRkSPKAwMdqzJ4WBOuV/j\n8afKynpeem4D9gY3bgOu+OagDpPYnA2Hw0ZyQkSHOWj0dHqldgHA1uihpLLez9GIiMj/6vg/aUTk\ntBqb3Lz84macLhOXATNvHdFyAKK/zb55GGa4Ezvwr3/soqq6wd8htbmS0hoW/30Tjibvv8+UmRcz\neECiv8OSU/jyvpvM3Er/BiMiIl+h5EYkgHlMk5de3Iy93o0bmHbjkHbVYtdus3HrHSNx2Q2cHosl\ni7bgMU1/h9Vm8guPseylLTjdFi6bwTdvGU56nzh/hyWnkZAcCQaEAfsPV/g7HBER+R9KbkQClGma\nvPzyFqxjjXiAidP6t8tN3FGRIUy74WI8gK3WxWvLdvg7pDaRnVPOiiXbvEsF7QY3fmekzv3pAJxB\ndqK6hGJgcFjJjYhIu6PkRiRALX9zF43FtZhYDLusN8Mu7urvkE4prXcsQyamYmFRnXuMjz456O+Q\nfGpvZin/en0nTgtcThu33DWaZLUV7jC69fB2jfPUNlFe1fmWUoqItGdKbkQC0Dvv76PioPdd5T4j\nuzFhXC8/R3Rmky5NJbaPt7K0b0MeezNL/RyRb+z44ggfrdiNo7lr3R3fHUNclzB/hyXnILnb8X03\nBpl52ncjItKeKLkRCTCr1x4ib0cRAPH94rj66/38HNHZu/GGiyEqGDvw4Vt7KA+wblQbt+Sz9t19\nOABPmJM591xCVGT7aO4gZy/xy00FlNyIiLQrSm5EAkjG9kL2rDuMgUFYt0hmzrjY3yGdE5vNxm13\njMTlMHCaFq++vAW3OzAaDKxZl0PGh1nYAaKC+O69lxAWFuTvsOQ8dIkLw+G0EYzBAe27ERFpV5Tc\niASIfQeOsuGDTGyArUsIt94y3N8hnZfwsCCumzUUN2Cvd7P0la3+DumC/WdVFrvWHsIG2LuEcPd3\nxxIUpDOUOyrDMEjs6q3e1FbUU1Xb5OeIRETkOCU3IgEgv+AY/1nxBXbADHNy55zR2Gwd9793r+4x\njP5aGhYW9UU1vPefTH+HdN7eeX8fWZvzsGEQnBjOXXePwREAh1l2dsf33URgcCBfS9NERNoL/YQV\n6eDKKupY8ep2nBa4g+zccddonA67v8O6YGNH9yBpQAIAh7YWsnN3sZ8jOndv/PML8nccwcAgokcU\nd9wxskMnnfJfX953s1/7bkRE2g39lBXpwGrrmnj1pQycHu9ZKbO/M5LwANrH8a1rB2HrEoIN+OTd\nvZSU1vg7pLP26uvbKd1/FIDYtFhuvWWEEpsAkvTlpgK52ncjItJe6CetSAfV1OTmpb9vxtFk4jJg\nxi3DAq7f56c7AAAgAElEQVSlsM1m4/bbR+F22nBa8PrSbTQ1uf0d1mmZpsmixVs4dqgSC4vkwYnc\nNHOIv8OSVhYWHkREVDB2DI6W1FLX0L5flyIinYWSG5EOyDRNXnopA3udCzdw1YyL6J4SmKfbh4Q4\nuP6W4bgNcDR6WLyk/TYY8JgmCxdmUF9YjYVF6ohufOuaQf4OS3zk+L6bMCCrQEvTRETaAyU30uF5\nTJP3P8zk5SVbWLfhcLt/Z781LF66DbOiAQ8wfko/+qfH+zskn0pJjmT8lH6YWLhK63j73b3+Dukr\nXG4PLzy3CdfROkxgwLheTP1GxzljSM7d8Y5pERjadyMi0k6oF6l0WKZp8ulnOezamIfTYwGws6Ca\nbZ8cwhETQlr/BMZf0iOg9qAALH9zV0tl4OIJvRk5LMXfIbWJkUNTKMg/RsGuYvK/OEJG92hGtZOv\nvaHBzcK/b8KoacIDDL+8N5eO7eXvsMTHknSYp4hIu6PkRjqkDRl5bF5zCEeTiRNwGRAeH05teR1O\nj4VV2UDWxjwyN+ZBuJOefeMYP7Znh9+T8t6/91N2oAyAnkO7ctmEVP8G1MaunTaQF4/U0FRay+f/\nziQlOZKU5Ei/xlRT28Siv2/CXu/GA4yd0q/dJF3iW/FJERg2g1DTIrOwmkaXh2Bnx+9UKCLSkSm5\nkQ5l155iPv3wAPZ6Nw7ADSSnx3HNtIGEhHhfzpkHj5KRkc/R/CqcLhNqXeTvOMLrO4rwhDjo2rML\nYy/pQfduHWuPytrPc8jZVoiBQWxaLNOvHuDvkPzi1luH89zTn+No9PDGK9u4+wfjCA1x+iWWymMN\nLHlxM44mD27g8msHcvGgJL/EIm3P4bQTnxhO6ZEaQiyT7IJjDEyN9XdYIiKdmpIb6RAOHirnP+/v\ng6om7IAHiOkZzbXXDCQqMuSEx/ZLi6dfmncPSkFRFRs25lGUU4GtwYWjwUNp5lHeyTyKy2EjrnsU\nI0d2p19abLtu07t9VxE7Ps3BjkFIckSn7r4VFOTgpltHsOzFzThdJotf3sLdd49p83+/kqO1LFu0\nBafb261uyg0XtbzupPNITImi9EhNy3k3Sm5ERPxLyY20awVFVbz37l5cZXUYGJhAWHIE068ZSEJc\n+Bmf361rFNd/czAA5ZX1fL4hl8NZZZg1TTjdJlU5lazOqeQ/NoOopHAuGprC8CHJ2NtRonMgu4y1\n/9qPAzCig7ntthH+DsnvEuPDueKagaxZuRcqGljx1h5umHFRm92/oKiKN5du854vZIPrZg+jV/eY\nNru/tB9JXaPYTSERGNp3IyLSDii5kXaprLyOle/soa6opqWlnz02lGumDTjv5WSxMaFMm9IfgLq6\nJj7fnEfWvlKaKhpwmhb1RTVsLsrk839nEhIXxoBBiYwZ1Z3gIP/9Nyk8Us37/9iFE/CEOvjunNHt\nKvHyp4sHJVFQWMWhjAJKMktZvymP8WN6+Py+ObkVrHxtB04LXHaDmbeNoGuSf/f9iP8kfqmpwJ6C\nKtweE4dd/0dFRPxFyY20K9U1jax8Zw8Vh49hx9ur3IoMYvKUfq265CcsLIivXZbG1y5Lw+X2kLG1\nkD1fHKG2tBanBe6jdXyxJocda3JwRAXTu7nzWmREcKvFcCaVlfW8sWSr95dop4077xpDkB8TrfZo\nyuR0FhVWUV9YzZaPD9ItOZJePX1XQdl/4Cj/WfFFy7/JLd8ZRVxsx25SIRcmJjaUoGAHNLoxPCY5\nRdX07d6x9vOJiAQS/aYk7UJDg5t339tHUeZRHODdVxPqYOLX+jL0omSf3tvpsDNuTA/GjemBaZp8\nsbeU7dsKqCyq9nZeq2oke3M+WZvzscKc9OgTy7ixPUmMP/OyuPNVV9fEkoUZzcueDG6+YyQR4YHV\n0rq1fHv2cP729Hoc9W7eXr6DO783zidztXN3MZ++s9fbyCLYzu1zRhMdFXLG50lgMwyDpJRI8g5V\nNO+7qVByIyLiR0puxK/cbpMPPswke+cRnJb3Bel22hg1sTfj2mCJ0f+y2WwMGZzEkMHejlcHc8rJ\n2JxPSV4l9iYPtjoXhV8U88YXR/AEOUjqGc2YMT1I7dml1WJwu01eOt6By4DrZg89q/1FnZXDYePb\nt49k8fObcLotlrycwT33jm3VBgObt+az8T9ZOPAm3XfePSbgzk+S85eYEtWc3Bhk5h1j2jh/RyQi\n0nkpuRG/ME2Tj9ccYs/mfJwey3tWjd1g8OjuXDGpd7vpXJaWGktac/ejI8XVfL4pj4Lscox6F44m\nD2VZ5byfVY7LYRCbEsXwEd0Y2C/+vOM3TZOXXtqMrdaFB/jaNwdro/pZiIkJ5apvDebDN7/AXtXE\n62/s4uYbh7bK2J99fpjtnx7CDlgRQdz93TF+3Ycl7c/xwzwjgAP5lZimhc1m+DcoEZFOSj+hpc2t\n35RHxtpDOF3/PYCzz9Bkpkzuh8PRPpKak0lOiuRb1wwC4FhVA+s35pKTeRRPdRNOt0V17jHW5B5j\nlQ0iEiIYPCSZkUNTzulreuW17bjL6jGBMV/vy6D+CT76agJP//R48sf2IHNDHhXZ5Xz6Wc4FH3L6\n4eqDZG7MxY6BrUsId84ZjdOhQxrlRIldvQ0lwjFoaPKQV1JDLz8fLisi0lkpuZE2s+OLI6xdlYW9\n3o0T7wGcXfvHM/3qAS0HcHYU0VEhXP31fvD1fjQ0uNmQkUfmnhIay+txmtBYXMPWD7PY9GEWwbGh\npA9MZOzo7qc9bPLNt3ZTk1eFhcWAcT0ZM7J7G35FgeFrl6dRVFhFde4xdn2WQ0pKJOl94s5rrH99\nsJ/D2wuxYRCUGM4dd4xUpzo5qdCwIKJiQqiqbCAU73k3Sm5ERPzDsCzL8ncQZ1JaWu3vEDqVhITI\nVp3zzINH+ej9TIyaJsB7AGeX1BiunT6wTbuPtQW322TrjkK+2HmEmpIanF/63+UBbJFBpKbHM/6S\nnsRE/3cz+tr1h9m1JhsDg5SLkrhu+sC2Dz5AeEyT557ZgFHThMtucPs9l5x04//pXucr3t5N8d5S\nAMK7R/Ht2cPazVLJjqy1v7e0Jx+t3MOBPSXkYNKjXwL3zbjY3yEBgT3n7VVCghJbEX/qWG+XS4eS\nX3CM997di7ui/r8HcHaN4NprBgVs+1yHw8aYkd0ZM7I7pmmyN/Mo27YWUF5YhdNtQXUTh7cWcmhr\nAVaok269YwkPD+LA5nxsGESnxiixuUB2m41v3z6CRX/biNNjsXTRFu69b9xZV12WLd9BRXYFAF36\ndGFWK+3dkcCWmBLFgT0lzU0FKrEsC8PQvhsRkbbm0+TmueeeY/Xq1TQ1NTF79mxGjx7NvHnzsNls\npKens2DBAn3zD0ClZbW8s3Iv9cX/PYDTERfK1OkD6dY1yq+xtSWbzcbgAYkMHpAIeA9/3LQ5n+Lc\nSuyNbmz1bo7sKfE+FghKCGfWjUP8GHHgiIoMYfrMi3lv2U7sdS5eeXU7t317xGmfY5omS1/dTm2+\nd2lg8qBEZlw7uI0ilo7ueFOBKJtBTr2LwrI6uvmwXbyIiJycz5KbjRs3sm3bNpYtW0ZdXR0LFy7k\n8ccf5/7772f06NEsWLCAVatWMXnyZF+FIG2sqrqBle/spTL3vwdwEhXEVVcPIK13rJ+j87/Unl1a\nWkaXHK1lw4Zc8rLLoc5FUFwYd3xnpJY+taI+qbEMu6w3Oz/Npja/ig8/zuLrV/Y96WM9psmil7bQ\nVFqLhUWv4SlMu6p/G0csHVl8YgQ2u0Gwx8IOZOZVKrkREfEDnyU369ato3///nz/+9+npqaGn/zk\nJyxfvpzRo0cDMGnSJNatW6fkJgDUN7h451/7KD5QdsIBnJMmp7ecFyMnSowP59rm5WemaZKUFK11\n8T4wYVwvCvKPUX6wnP2b8unWLforHehcbg8LX9yMWdGAiUX/sT2ZfHmanyKWjsrusBGfGEFJUTXh\neJObK4Z383dYIiKdjs+Sm/LycoqKinjuuefIy8vj3nvv5cu9C8LCwqiu1i9zHZnL7eH9f2eS80Xx\nfw/gDLIxelJvxo5q+wM4OypVa3xr5vUX8fxzG7Efa+Sjt3eTdPcY4rp493w1Nrl58flNGDVNeIBh\nl/Vhwrhe/g1YOqyklKgTkhvtuxERaXs+S266dOlCWloaDoeD3r17ExwcTElJScv12tpaoqLObv+F\nOo+0vdPNuWmarPzXXrauPYSj+QBOt8PGmCvSmPqNfvpl/Tzpde47cx+4nN/96kOcLpNlS7bxs4cn\nU13TyIvPbcQ4fmDq9RcxaXxvf4ca8AL5dd53QCK7thQQbbdTVN2IabeTHOf/pWmBPOciIv/LZ8nN\nyJEjWbx4Md/5zncoLi6moaGBsWPHsmnTJsaMGcOaNWsYN27cWY2l5Tpt63StQ9dtOMyWdYdxukwc\ngMsGaUO7MuXr6dhtNsrKats22AChdq2+d91NQ3l76TYcdS7+8MdPaahuwt7gxg1cds1ABqbH69/A\nxwL9dR4aEQRARPPHn28vYMKQrv4LiMCf8/ZIyaSIf/ksubn88svZvHkzN9xwA6ZpsmDBArp168bD\nDz+My+UiLS2NKVOm+Or20sq27ixi3cdZOBo83kqNAd0GJDDt6v4EB6mjuLR/PbtHM+brfdny4QFc\npXXY8b6OvzHjIvqnx/s7PAkAUTEhhIQ6aah3EYR3aZq/kxsRkc7Gp7+VPvjgg1/53JIlS3x5S2ll\n+w4c5eN/ew/gdOA9iDK2dwzXTh9ERHiQv8MTOSeXjOxOQf4xiveW4rYZXDNrSEsHO5ELZRgGiSmR\n5B4sJwJvciMiIm1Lb7nLSR3Or+SDf+3D86UDOMNTIrn22kHExoT6OzyR8zbjusHs7l/CsCEpuJrc\n/g5HAkxS1yhyD5YTbbNxqLKeiupGukQG+zssEZFOQ8mNnKCktIaXF2+hprAKG94uP874MKZdM5Cu\nSVpHLIFh8IBEYqJDtRdBWl1i82GeXZx2DjWaZOZVcskgtcQXEWkrSm6kxYHsMv69fBd2wACM6GCu\nuro/fVJ1AKeIyNlISvG+CeRwmRig5EZEpI0puZEWH32w33sAZ4iDK6b0Y/CARH+HJCLSoQSHOImO\nDeVYeT2haN+NiEhbU3IjAOzNLMWqasQC7rh7LBHhemmIiJyPpK5RHCuvJ9pmo+BoLdV1TUSGqQGL\niEhb0GmLAsAnHx7AwCA4PpzeqeoeJYHLVVFB3u8fp/jDj/wdigSopOZ9N0khTgAO5B/zZzgiIp2K\nkhthz/5SrOpGTCymTO3v73BEfKr01aXU799H/oq3/R2KBKikbt7kJsS0AC1NExFpS0puhE8+aq7a\nJITTPSXa3+GI+EzNzu3UbNsCQENhIe6qKj9HJIEoNiEcu8OGp8GNHdiv5EZEpM0ouenk9uwrwahu\nwsTi6qkD/B2OiM+YjY2UvLoUAMPpXS5UfyDTnyFJgLLbbSQkRQAQaRjkFldT36gzlURE2oKSm07u\nk4+yAAhOiKBb1yg/RyPiO+X/egf30aMEde9Bl29MAaA+64Cfo5JAdfy8m24RwVgWZBVo342ISFtQ\nctOJ7d5XglHThAlMnaaqjQSuxsJCyv/9PgBJ376NsAEDAVVuxHeONxWItnt/zGrfjYhI21C/307s\n04+yMICQxHBSkiP9HY6IT1iWRckri8HjIWriJEL7pmM2NIDNRmPuYcyGBmwhIf4OUwJMYlfv91Sr\nzgVo342ISFtR5aaT+mJvcUvVRnttJJBVb/ic+v37sEdEknD9jQDYQkKISOsDpkl99kE/RyiBKDI6\nhNAwJ+4mDyHAocIqmlwef4clIhLwlNx0UmtWeX+hU9VGApmntpbS5csAiL/hRuwRES3XogZ6k3ot\nTRNfMAyjZd9Nz6gQPKZFdqG684mI+JqSm05o155i7bWRTuHoP9/EU11FaHo/osZfesK1qEGDACU3\n4jvH990kBHu782nfjYiI7ym56YTWrvJ2SAtNDKdrkqo2Epjqs7M59ulqsNtJ/PZtGLYTv91FNldu\nGrIPYrnVpldaX1KK9/ur0+1djqZ9NyIivqfkppPZtacYo9bl3Wujqo0EKMs0KVn6MlgWXSZ/g+Bu\n3b/ymKCYaJzJyVhNTTTk5vohSgl0Ccneyk39sUYM4GDBMdwe079BiYgEOCU3ncya41WbJFVtJHBV\nrl5FY+5hHLGxxF1z3SkfF9q3HwD1B/a3VWjSiQSHOOgSH4ZpWvSMCqHJbXL4SLW/wxIRCWhKbjqR\nnbuLsTVXbaaqQ5oEKHdlJWVvrQAg8eZbTtvmOTS9ObnRYZ7iI0nNhyN3iwwGtO9GRMTXlNx0Ims/\nPl61iSBZVRsJUKXLl2HW1xM+ZCjhw0ac9rHHk5uGAwewLKstwpNO5njHtAgMQPtuRER8TclNJ3FC\n1Wa6qjYSmGr37KZ60waMoCASZ38bwzBO+3hnQgL26Bg8NdW4jhS1UZTSmRxvKuCqbgTgQP4xTFOJ\ntIiIryi56SSOd0gLS44gOSHiDI8W6XhMl4uSV5YAEDf9WpzxCWd8jmEYhKanA1CnltDiA7EJ4Tic\nNmqqGkmMDKa+0U1+aY2/wxIRCVhKbjqBHV8cwVbnrdpMU4c0CVAVH7yHq/gIQV1T6PKNKWf9vC8v\nTRNpbTabjYTmZcB9YsMALU0TEfElJTedwGcfHwS8VZtEVW0kADWVlFD+r3cASLzlVgyH46yf29JU\nQJUb8ZHj+25inXZATQVERHxJyU2A276rCFudCw+q2khgsiyLkleXYLndRI4bT9iAgef0/ODuPbCF\nhuI6WoqrosJHUUpndnzfjdHgPSw2M69SDSxERHxEyU2A+2x1NgDhXVW1kcBUsyWDui92YQsLI+GG\nm875+YbNRkhaXwAaVL0RH0hqrtxUltYRHeakus7FkfI6P0clIhKYlNwEsG07i7C3VG3O7d1skY7A\nbKin9PVXAYj/1g04oqPPa5zQvt6mAvVZSm6k9YVHBhMWEURTo5t+zftvtO9GRMQ3lNwEsHWfePfa\nRHSNIDE+3M/RiLS+o2+/hbuiguDU3kRfdvl5jxParz+gfTfiG4ZhtFRvksOCAO27ERHxFSU3AWrL\njkLsdW5VbSRgNeblUrnqQzAMkm69HcN2/t/OQlJ7g91OY34+njotF5LWdzy5CfF499rsz9W+GxER\nX1ByE6A+/8S71yYiJZIEVW0kwFimSfHSxWCaxFzxNUJ6pV7QeLagIG+CY1k0HMxqnSBFviSxq3c5\nWk1lPeEhDiqqGyk71uDnqEREAo+SmwC0ZXsh9nq3OqRJwDr22RoaDmZhj44m7pszWmVMtYQWX0rs\nGolhQHlJLekp3r1h2ncjItL6lNwEoM8/9VZtIrtFkhCnqo0EFnd1FUff+AcACTfdjD0srFXGVXIj\nvuQMctAlPhzTtOgZEwpo342IiC8ouQkwGV+q2kzXXhsJQEf/sRyzrpawgYOJHH1Jq40berwd9KFs\nTJer1cYVOe74vptomwEouRER8QUlNwFmw5eqNnGxrfOOtkh7UZe5n6r1n2E4HCTeciuGYbTa2PaI\nCIK6dcdyu2nMyWm1cUWOS2w+zLOpuolgp53iinoqaxr9HJWISGBx+PoG3/rWt4iI8B4e2aNHD+65\n5x7mzZuHzWYjPT2dBQsWtOovKJ1ZxrYCVW0kYFluNyVLFwPQ5eppBCUnt/o9Qvum01SQT31WJqHp\n6a0+vnRuSV29lZvSoir6do9m96FyMvMqGTMwyc+RiYgEDp9Wbhobve9ILVmyhCVLlvDb3/6Wxx57\njPvvv59XXnkFy7JYtWqVL0PoVDZ8egiAqO5RqtpIwKn46D80FRbgTEgkduo0n9wjtJ/23YjvdIkP\nxxlkp7qqkbTmwzy1NE1EpHX5NLnZt28f9fX1zJkzh9tvv53t27ezZ88eRo8eDcCkSZNYv369L0Po\nNDK2FmBvUIc0CUyusjLKVr4FQOItt2JzBvnkPqF9m5ObrANYpumTe0jnZbMZJCR7k5qEYO/CCSU3\nIiKty6fL0kJDQ5kzZw4zZ84kJyeHu+6664TrYWFhVFdX+zKETmPDmkPYaa7adFHVRgJLybJXsJqa\niBg1mvCLLvbZfZxxcThi43CXl9FUWEBw9x4+u5d0TkkpURTmVmI0uHHYbeSX1lJT7yIi1Onv0ERE\nAoJPk5vU1FR69erV8veYmBj27t3bcr22tpaoqKgzjpOQEOmzGAPBp58daqna3HbrSBLiIy54TM15\n29Ocn1z55gxqt23FFhLCgO/fTXBc683Tyea8/KJBHF2zFntRLgnDB7XavcSrs7/O0wcksm1DLlXl\n9fTv1YXd2WWUVDXSu2esz+7Z2edcRDoXnyY3b775JpmZmSxYsIDi4mJqa2u59NJL2bRpE2PGjGHN\nmjWMGzfujOOUlqq6czqr3t+LA2/VBsu64PlKSIjUnLcxzfnJmY2N5PztBQDirvsWVWYQtNI8nWrO\nbT17A2sp3bYLx+hLW+Ve4qXXOYREeCs0BbkVpI5IYXd2GZt3F9En6cLflDoZzXnbUzIp4l8+TW5u\nuOEG5s2bx+zZszEMg8cee4yYmBgefvhhXC4XaWlpTJkyxZchBLyNW/JxNHi8HdKmq0OaBJbyf72D\n++hRgnv0IObKyW1yzy8f5mlZlro5SqsKjwgmIiqYmqpGekTrME8RkdZ2xuSmpqaGjRs3cvjwYWw2\nG7169WL8+PEEBwefcXCn08mTTz75lc8vWbLk/KKVr9i09hAOILpHFLHNp16LBILGwkLK//0+AInf\nvh3Dbm+T+wZ1TcEWFo67ohx3eRnOuPg2ua90Holdo6ipKiXUtLAZBoeP1FDf6CY02OenM4iIBLxT\ndkurq6vj97//PTNmzOCtt96iuLiY0tJS3nrrLaZPn87vf/97amtr2zJW+R8bMvJaqjbX6FwbCSCW\nZVHyymLweIiedBmhaX3b7N6GzUZoX+/96jPVElpaX1LzYZ7lJTX0So7EtCwOFh7zc1QiIoHhlG8T\n/eQnP2HmzJncf//92P/nHVOPx8Pq1at54IEHePbZZ30epJzc5rU5LVWbGFVtJIBUb1hP/f592CMi\niZ8xs83vH5ren9qdO6jPyiRq3Pg2v78EtsQUbyOd4sIq+qd24VBRFZl5lVzUO87PkYmIdHynTG7+\n8pe/YLOdvLBjt9uZPHkyV155pc8Ck9PbsDkPR6OqNhJ4PLW1lC5fBkD8zBuxR/hmo/XphKanAzrM\nU3wjITkSw4Dy0lpGj/N2FM3M1b4bEZHWcMrk5n8Tm7KyMhYvXkxjYyOzZ8+mZ8+ep0x+xPc2f+at\n2sT0jFbVRgLK0RVv4KmuJjS9H1HjJ/glhuBeqRhOJ02FhXhqavySYEngcjrtxCVEcLSkhi5OGwaQ\nXVSFy+3B6WibvWUiIoHqrLOTRx99lP79+zNkyBDuv/9+X8YkZ/D5pv9WbaZPVdVGAkd9djbH1nwC\ndru3iYCfOpXZnE5CevfxxpR1wC8xSGBLbN53c6ysju6JEbg9FtmFVX6OSkSk4ztlcvPQQw+Rl5fX\n8nFdXR0pKSn06NGDhoaGNglOvsqyLDLW5QDHqzYh/g1IpJVYHg8lS18Gy6LL168iuFs3v8bz5ZbQ\nIq0tqXnfTUlhFf16xABqCS0i0hpOuSzt//7v/3jmmWcICQnh+9//Pg8++CBPPfUUbrebBQsWtGWM\n8iWfb87/b9VGe20kgFSu/pjG3MM4YuOIu+Y6f4ej5EZ8KqmlqUA1g76Wxqot+UpuRERawSmTm5SU\nFH7zm9+wd+9efvnLXzJgwAB++9vfEhqq/R3+YpomW9Z599p06RVNTLSqNhIY3JUVlL31JgCJN9+C\n7SzO0fK1kLS+YBg0HM7BbGxsFzFJ4IiJCyMo2E5tdSPduoQBkFVQhdtj4rBrP6uIyPk65XfQiooK\nlixZws6dO3n88ccZMmQIP/rRj3j99dcxTbMtY5RmG1S1kQBVunwZZkMD4UOHETF8hL/DAcAeGkpw\nj57g8dBwKNvf4UiAMQyDxK7e6k19ZT3JsWE0ujzkFtf4OTIRkY7tlMnND37wA5qamigtLeXBBx9k\nwoQJPPfccwQHB3P33Xe3ZYzC8arNYQC6pMYQHaWqjQSG2t1fUL1pI0ZQEIk33+LvcE4Q2re5JbSa\nCogPHG8qUFKkfTciIq3llMlNZWUl3/rWt7j++uspKiryPthm45vf/CbPPPNMmwUoXp9vysPR5MEN\nTJ86wN/hiLQK09VEyatLAIibfi3O+AQ/R3Si0H7adyO+k9T1v/tu+iu5ERFpFafcc/OjH/2IOXPm\n4HQ6efDBB0+4Fqy1523KNE22rs/FAcSpaiMBpOKD93EVFxOUkkKXb0zxdzhfEdq3ObnJysLyeDDs\nOoNEWk/i8Y5pRVWMv7o/4E1uTMvC5qc26CIiHd0pk5spU6YwZUr7+2WjM1r/parNNFVtJEA0FRdT\n/q93AEi85TYMxym/HfmNIyYGZ0IirtISGvPzCOmV6u+QJICEhQcRGR1C9bEGbC4PcVEhlFU1UFBa\nS4/Ezntw7MefZnPoYBm3zB5OSEj7+74gIu3bKZel/ehHP2LdunWnfOInn3zCfffd55Og5L9M02Tb\neu9em7jeqtpIYLAsi5JXl2C53USNu5Sw/u03aQ9Nb953c0D7bqT1JTXvuynWeTcAlJb/f/buPLjN\n87z3/vfBvnDfF3EXqV2iZC2WF0mWFVu2k2ZP4zg+7zmdnMxk2klbn8lkaZqkaZs48TRpepITd6Yz\nXRw3TpvYcZ24trVZsiRrFyVq5U5x30mA2IHnef8ACUmWKGoh+ADg9ZnxjAWSwA8QBeDCfd/X5eX8\n+1cIDnrYtbdF7zhCiCQ040ci3/ve9/jZz37GX//1X7N06VKKioowGo309vbS2NjIjh07eP755+cz\n64J06GgXpqAqZ21ESpk8eRzv+XMYHA7yPv2Hese5JXttHa7Dh/A1XyZ7x4f0jiNSTEFxBi0Xhxjo\ndQGnku8AACAASURBVLGkPIv3z/dzuWucR+9bpHc0Xbz6xoXYG5OOy0Mgr3tCiDs0Y3GTlpbGV7/6\nVf74j/+YI0eO0NHRgdFoZO3atfzN3/wNTqdzPnMuSKqqcvr9TsxEV20y0mXVRiS/iM/H4Cv/DkDe\nJz6FKSND50S3Fhvm2dKMpmkochZCzKHC0ulzN2623l8ORFduFuLvWkv3ON4+Nzai99sUiNBxZYzK\n8mydkwkhksmsm1nT0tLYsWPHfGQRH3DoyBXMU6s2H5G5NiJFjLz+GpHxcWxV1WRu2aZ3nFmZC4sw\npqcTmZggNDiIpbBQ70giheQVpmEwKIwOech2mMlwWnB5gvSPeinOXTgfIqqaxm9+f5EMFAwWI5rN\nhOYKcPBgB5Wfk+JGCHH7ZAxyglJVlYb3rwCQV51Nepp0qBPJz3+lk/E9u0BRKHj2/0MxJP5TkKIo\n13RNk5bQYm6ZTEZyp5oHDA9MLthzN4cb+2HMD8B9m8tZua4EgNGuCSIyOFwIcQcS/53FAnXw/SuY\nQnLWRqQOTVUZ/MW/gaaRtX0HtvIKvSPdttjWNJl3I+Lg2qYCC3HejS8Q5o29LdFVG5OB1etKuX99\nGWEFzBocP9Wjd0QhRBKZtbj5oz/6o/nIIa6hqioNR6KrNvmyaiNSxMR7B/C3tWLMzCL3Y5/QO84d\nudoxTYobMfdi82563Qty5eaNwx2k+8MArFxbgsVqwmQykDFV9J05KcWNEOL2zVrc+P1+ent75yOL\nmPLe+1cwT6/ayFkbkQLCLhfDv/lPAAr+8GmMdrvOie6MtbwCxWolNDBAeGJC7zgixRROFTcDvS5K\n8hw4rCZGXAGGJ3w6J4u/gVEv7x7rIhtQFFi9/mqXuAcerAQgNOZn0hPUJ6AQIunMWtyMjo6yfft2\nHnzwQbZv38727dt59NFH5yPbgqSqKmemV21qckhzWnROJMS9G/71r1C9HhzLV5C2YaPece6YYjRi\nr64B5NyNmHuZ2XasNhNeTxCvO7igVm9e2dNMngYGFGqW5pOeebUraG11LiGLASPw7ntt+oUUQiSV\nWbul/dM//RMQPVSraVrcAy10Bw53Xl21kbM2IgV4my7jOnwIxWSi4Jlnk7a9rb22Du/FC/iam0m/\nb4PecUQKURSFguJ0utrHGOyLDvNsaBmmqWucB1YW6x0vbhrbRmhsHaF+6nPW1RvKbviesto8+s8P\n0n5pCHbKa6IQYnazrtwsWrSIU6dO8R//8R/k5ORw4sQJFi1amMPF4k1VVc4e7QKgQFZtRArQwmEG\nf/GvAGQ/8RSWwiKdE909aSog4qngmq1p0ys3l7tSdwtkOKLyy93N5AFGoGhRRmx73rUeebgKFTD6\nw3R2p/5KlhDi3s1a3Lzwwgvs37+fd955h0gkwm9+8xu+//3vz0e2BefaVZunZNVGpICxXe8Q7O3F\nXFBIzpNP6R3nntiqa8BgIHClE9Wf+mchxPy6eu7GTXlhGlazkYFRLxOTAZ2Txcfek930j3opnWoH\nv+YmqzYAWVl2DBkWFBQOvtc+nxGFEElq1uLm4MGDvPDCC1itVtLT0/nnf/5nDhw4MB/ZFhRVVTl7\nZGrVZrGs2ojkFxoZZuSN3wJQ8MyzGMzJ/TttsFqxlleApuFrbdU7jkgxBcXRzmDD/W4UYHFptNhp\n6k691RuXJ8jrh9rJBkwqZGTZqKzNm/H7V9ZHZ96MdLlQZeaNEGIWsxY3RqPxuj8Hg8EbLhP3bv/B\nDsxhlbAiZ21Eahj85ctowSBp6zfiXLFS7zhzwjG9Na2lWeckItXYHRYys+2EwyqjQ56rTQWupN5W\nrFcPtOILRKiymoFohzSDYeazeJs3lkdn3qgaJxuke6sQ4tZmLW527tzJn//5nzMxMcG//Mu/8Mwz\nz/DUU8m9vSTRqKpK47FuAAprcnA6kvsTbiEmG07jaTiNwWaj4LNP6x1nztjk3I2Io4KpuS7TTQUA\nLqdYx7TOfjfvnekjXVEwBiJYrCaWrr71WTyTyUD61MrW6RMy80YIcWuzFjdf/OIX+eQnP8nOnTvp\n6+vjy1/+Ml/60pfmI9uC8e57V1dt5KyNSHZqIMDgL38BQO7HPoEpK1vnRHNnepinv60VLRzWOY1I\nNYXFV8/dVJdkYDIq9AxNMukL6Zxsbmiaxsu7m9CAVVkOAFasLcZsmbVxK5s3VwAQHPXh8crMGyHE\nzGYtbr70pS/h9Xr58z//c77+9a/zyCOPzEeuBUNVVc4dn1q1WZwrqzYi6Y387r8Ij4xgLSsn65HU\nmollSs/AXFSEFgziv9KpdxyRYqY7pg32ujCbjFQXZ6ABLSly7uboxQFauifIsZkIj/swGBRWriu9\nrZ9dUptHyBydebNfGgsIIW5h1uLmM5/5DLt27WLHjh38xV/8BUePHp2PXAvGvvfar561eWKJ3nGE\nuCeB3h7G3nkLFIWCz/8PlBQ8nyctoUW85BWkYTAqjI14CfhD1JWnzjDPQDDCf+6LNuLYWJSBpsHi\nZQWkZdhm+cmrFi3OBaDt4lBcMgohUsOsxc0jjzzC3/3d3/H222/z8MMP84Mf/EBWb+aIqqqcn1q1\nKVqci0NWbUQS0zSNwV/8G0QiZD68FXvNYr0jxYWjNvohhBQ3Yq4ZTQbyCtMAGOxzp9S5mzePdDLm\nDlCZn4ar1w3A6g13NjNv65YqVDQM/hDdvamxmiWEmHuzFjcAzc3N/OM//iM/+clPyMrK4k//9E/j\nnWtB2HegHXNYi561kVUbkeTc7x/G13QZY3o6eZ/4lN5x4sY2de7G19KMpmk6pxGpZvrczWCvi5qS\nTAyKQme/G38wec94DY/7eOvYFQAeKMsiFIxQUp5FflH6HV1PbrYDJd2KgsIB2ZomhJjBrKf4PvKR\nj2AwGPjoRz/Kv/7rv1JQUDAfuVKeqqqcP9GNGSiqlVUbkdwik5MM/ecrAOR96g8xpqXpnCh+zHn5\nGLOyiIyPE+zrw1pSonckkUIKSjLgZA8DvW7us5qoKEqjvc9Na4+LFVU5ese7K7/a10IorLJxWQF9\nLSMArNl4Z6s205avKebiwU6GOydQVRWD4bY+oxVCLCCzPiu88MILvP7663zmM5/BZrv9vbHTRkZG\n2Lp1K+3t7XR2dvL000/zzDPP8J3vfGdBf+q5d//VVRs5ayOS3fBrvybidmOvW0LGAw/qHSeuFEXB\nvnh63o1sTRNzq3CqqcBAnwtN05J+a9rFzjFOXh7CYjZw/6IsJl0BsnLsVNTk3tX1PXj/1Zk3p8/2\nz3FaIUQqmLW4cTgcfOpTn2L79u08+uijfOxjH6O9/faWg0OhEN/61rew2+1omsb3v/99nnvuOV5+\n+WU0TWPPnj33fAeSUURVuXAyetamuDYPu11WbUTy8rW1MnFgPxiNFDzzP1CUmYfxpQp7nTQVEPGR\nkWXDZjfj94ZwT/ivDvNMwuImoqr8cnf038iTm8ppPTcAwOoNZXf9PGE2GUmbOpd06njX3AQVQqSU\nWYubb33rW3zhC1/g2LFjHD9+nC9+8Yt861vfuq0r/+EPf8jTTz9Nfn4+ABcuXGDDhg0AbNmyhcOH\nD99D9OS1991rzto8Kas2InlpkQiDL/0raBrZH3oca+nttXVNdvbFU/Numpt1TiJSjaIoFE4N8xzo\ndVG7KFrctPW6CIUjeka7Y/sbeuke8pCXaaO+NIvBPjc2u4m6lYX3dL2bpmbeBEZ8+PypMQNICDF3\nZj1zMzY2xs6dO2N/fvLJJ/n5z38+6xW/+uqr5OTk8NBDD/GP//iPaJp23TY0h8OB2+2+rZD5+Xd2\n6DCRRcIql071YAKqVhVRXpaYe6hT6TFPFsn4mPe+8TsCXVewFuSz5H89g/Eutq7q6W4fcy1nGT0O\nB6HhITIMQay5d7fFZiFKxt/z+VZVm09n6yjucT8PlOdQWZxBR5+LMV+EFdVZd3x9ejzmbm+Q1w9G\nd3l84WOraD3VA8CGB6soKbnz+3Ctrfnp7PndRUwhlWMnevjUx1fdc14hROqYtbixWq2cO3eOlStX\nAtDY2Ijdbp/1il999VUUReHw4cNcunSJr33ta4yNjcW+7vF4yMjIuK2QQ0O3VwQlg117WzBNzbV5\ndHtNQt63/Pz0hMyVypLxMQ+Pj9H5i18CkPuZzzHqDoE7eT5FvdfH3Fpdg/dcIz1HTpO+cdMcJktd\nyfh7roe0TCsAHa0jDA25qS5Op6PPxdHGXgrS72wbs16P+cvvNOH2hlhankWB1ciexn4MRoXqpXlz\nkqe4Ooehy8M0nuxm60OV9x54DkkBL4S+Zi1uvvGNb/DlL3+ZzMxMAMbHx/nxj3886xX/4he/iP3/\ns88+y1/91V/xwx/+kGPHjrFx40YOHDjA5s2b7yF68omoKhdP9mAGSpbkYbeZ9Y4kxF0bfvXXqH4/\nzvq1pNWv1TvOvLPX1uE914i3uUmKGzGnCoqjb46H+91EIip1ZVnsPdWTNOduuocm2Xe6B0WBz+2o\no/FEdNWmbnkhjjTrnNzGI1ureeXyEAZfiN5+NyV32FZaCJG6Zi1u6uvrefvtt2lvb0fTNEpLS0m7\nizaviqLwta99jb/8y78kFApRU1Nz3Xa3hWDPvjbMkamzNjuX6h1HiLumBoO4T54AIP/Tn9U5jT7s\ntdGmAn7pmCbmmNVmJivHzvioj5HByVhTgZbuCSKqijGB2x9rmsYvdzejahqPrCslL93Kfzf2AXc+\ntPNWcnMcKGlWlMkgBw608dnPrJmz6xZCJLdZnyHffPNNPvGJT1BXV4fNZuPJJ59k9+7dd3QjL730\nElVVVVRWVvLSSy/xyiuv8Ld/+7cLoqvStIgaPWsDULokH5tt1rpSiITlvXgBLRDAWlGJpfDeDgcn\nK1tVFYrJRKC7m4jXo3cckWIKpltC97rISrNSmG0nEIpwZWBS52S3dqppiIudYzhtJj7+cDUXGnoJ\nh1TKqrLJLZjb+VdLVkWfewY7x1FVdU6vWwiRvGYtbn7+85/zz//8zwBUVFTw2muv8Q//8A9xD5Zq\nrl21eXKndEgTyW3y9CkA0tau0zmJfgxmC9aKStA0/K2tescRKWZ63s1gb/R8SmzezZXE3ZoWCkf4\n1d4WAD72cDV2i5FzJ6Mf6q3eUDbnt/fw5grCgDmicfb8wJxfvxAiOc1a3IRCIfLy8mJ/zpWuQHfs\nulWbpbJqI5Kbpqp4zpwGFnZxA1e3psm8GzHXCq9ZuQGSYt7NW8e6GJ7wU5rvZNvaElouDuKZDJKd\n56CsKnvOb89iMeEsdAJw4pjMvBFCRM1a3Kxbt47nnnuOffv2sXfvXr7yla9QX18/H9lSxq69rZgj\nGiEFnnxcVm1EcvO3thBxuzHnF2ApWRhzbWYixY2Il5x8J0aTgYkxH35fiCVTxU1z9zjqNWMVEsWo\ny8/v3+8A4HOP1mJQFM4eiw6rXnMPQztns/H+cgD8Q178/nBcbkMIkVxmLW6+/e1vs3z5cn71q1/x\n6quvsmLFCr75zW/OR7aUEI6oNJ3uBaBsWYGs2oikN3nqJBBdtVlI5+ZuJjbMs70NNRTUOY1IJUaj\ngfzC6BmVwT4XuZk2cjKsePxheocS74zXr99tJRhSua8un2WVOfReGWd4cBK7w0ztioK43e7KZYWE\nTApG4MChjrjdjhAiecxa3FitVr7whS/w4osv8tOf/pT/+T//JxbLnfXZX8h27225umqzs07vOELc\nE03TmGyQ8zbTjE4nltJFaOEwgY4OveOIFHN1a5obRVGunrtJsK1pzd3jHLkwgMlo4DPbFwNwZmqb\n2Mp1pZhMxrjefnFVdBh2s5y7EUJwG8WNuHvhsEpTQ7QFZtnyAqwWWbURyS3Y001oaAhjejq2msV6\nx0kIsjVNxEtBrKlA4p67UTWNf9/dDMDOTeXkZ9kZG/HQ2TqK0WRgxbqSuGfYurUKDQ3FG6R/QIbE\nCrHQSXETR7uuXbV5XFZtRPKb7pLmXLMWJYFnbcwne210a5oUN2KuxTqm9bnQNC127qapaxwtQc7d\nHDzbR2e/m+x0K0/dXwHA2ePRszZLVhZid8R/p0dBXhqa04KCwv4D7XG/PSFEYptxKaG3t/eWP1hS\nEv9PY5JZOKzSfKYPM1AuqzYiRcRaQK+TLWnTYis3Lc1oqipFn5gzaRlW7E4zPk8I17iPohwH6Q4z\nE54gg2M+CnMcuubz+sO8uj/aBv3T22qwWoz4vEEun4tuD5vLoZ2zqVtZRMvRLgY6xlBVFYP8OxRi\nwZrxHffnP/95AILBIMPDw5SVlWE0Grly5QplZWW8/fbb8xYyGb2ztzm2avOErNqIFBAaGSFwpRPF\nasWxbLnecRKGOScXU04u4dERgj09WMvmfp6HWJgURaGwOIOOlhEGet1kZjuoK8vi5OUhLneN617c\nvHG4HZc3xOJFmWxaHh2oef50L5GwSkVNDtm5znnLsuXBCi4d7cIc0Th3cYjVKxbmcGEhxC22pe3d\nu5e9e/eyYcMGfvGLX7Br1y7eeustXnnlFZYskXbGtxIOq7Q09ANQsaJQVm1ESphuJOBcuQqDWZqK\nXOvq6o1sTRNza/rczUBPYp276RvxsPtENwrwuR21KIpCOByJ69DOW7FaTDjyo8XU8aNX5vW2hRCJ\nZdZ125aWFtavXx/78+rVq2lra4trqGT3zp5mzOrUqs1jtXrHEWJOxLakSZe0G8i5GxEv1567Aa47\nd6OnV/a0EFE1HlpdTGVRNGPz+UF83hC5BU5KK7LmPdOGqZk33kEPgaDMvBFioZq1uCkqKuInP/kJ\nzc3NXLp0iR/+8IdUVVXNR7akpGkazY3R/cYVKwqxyKqNSAGRyUl8TZfBaMS5ao3ecRKOvTa6mu1r\nbkqYg94iNRQUpwMwPDBJOBxhUX4adquJ4Qk/IxN+XTKdbR2msW0Eu9XIJ7fWANHXvjPHo+2f12yM\n39DOW1m5LJ+QUcEEHDjUOe+3L4RIDLMWNy+88AITExM899xzfOUrXyESifD9739/PrIlpXOXh7CE\nVSLA4zukVa5IDZ6zZ0BVcdQtxeicv330ycJSXIzB4SQ8NkZ4ZFjvOCKFWKwmsvMcqKrG8MAkBoNC\n7aJMAJq653/1JhxR+eWeFgD+4MEqMpzRLardHWOMDXtxpFlYvCx+QztvxWAwUFiZDUDTuX5dMggh\n9DfrskJWVhbf+ta35iNLSnj/SHSvrz3Hjs1m1jmNEHPj6pa0tTonSUyKwYC9thbPmQZ8zc2Y8/L1\njiRSSGFxBmPDXgZ73RSVZrKkLIuzrSM0dY2zeUXRvGbZfaKbgVEvRTkOHr3vaje06aGdq+4rxWjU\nr1PZ1i1VvNo6guIJMjjsoSBPPowRYqGZ9Rlo6dKlN/y3ZcuW+ciWdDz+EK7+SQDq15XqnEaIuaEG\nAnjONwLgrJfzNjORYZ4iXgpLp5oK9OnbVGBiMsB/HYrOkfnso7WYpoqYkaFJutrHMJkNLK/Xd0xE\nUWE6mmNq5s1+OR8sxEI068rNpUuXYv8fCoXYvXs3p0+fjmuoZHXgRDdOQFNg9er5/TRNiHjxXryA\nFgxirazCnJOjd5yEJR3TRLwUFE81FeiNFjcVRelYzAb6Rry4PMHY1rB4+82BNvzBCKtrclldkxu7\nfHpo59JVRdjs+u9YqF1RSOvxbvraR/WOIoTQwR2tHZvNZp544gmOHDkSrzxJS9M0Gk5HB59mF6Vj\nlkYCIkVIl7TbY6uoRDGbCfb2Epmc1DuOSCE5+Q5MZgOucT8+bxCT0UBNydS5m3lavWnvc3HobB9G\ng8JnH73aBdQ7GaDp/PwP7byVLQ9WEgHMYY1zFwf0jiOEmGezvgN/7bXXYv+vaRrNzc1YLDLj4oOa\nuycweIKAwlrZkiZShBaJMHkmulIrxc2tKSYTtqpqfE2X8bU0k1Yv55PE3DAYDOQXpdPXNcFgr5uK\nxbksKcviYucYTV3jrF8a3wP8mqbx77ub0IAPrS+j6JrhoedO9aJGNKpq88jM1neo6DSbzYQtz0Fo\n2MuxI1dYuUwGegqxkMy6cnP06FGOHTvGsWPHOH78OIqi8OMf/3g+siWVd090kQ6gQHVdnt5xhJgT\nvtYW1MlJzIWFWIr13UufDOx10+duLuucRKSa6Xk3A73zf+7myIUBWntcZDgtfOTBytjl4VCE86en\nhnZuTIxVm2nrN0WHiHoGPARl5o0QC8qsKzfPP/88wWCQ9vZ2IpEItbW1mM3676lNJJO+EO1NI5Sj\nUFSWhcUqW9JEapg8dRKAtPp1usytSDb2xdPFTbPOSUSqmT53M13cVJdkYDQodA1O4vWHcMSpO6c/\nGOY/90VbP39yazX2a17fLp8bwO8LU1CcTvFUe+pEsXpFIQfeasIc0Tj4/hW2b63WO5IQYp7MunLT\n2NjIzp07+drXvsY3vvENHnnkERoaGuYjW9I43NhH5tTgvmUrZflbpAZN05hskPM2d8JWsxgUBX9n\nB2ogoHcckUIKS6LDPAf7XGiahsVspKokA43otuh4+f37nYxPBqksSufBVcWxyzVN4+zU0M7VGxYl\n3IcfBoOBgoro6talRpl5I8RCMmtx87d/+7f8+Mc/5rXXXuO3v/0tP/3pT/mbv/mb+ciWFDRN48Cp\nHjIARYHKWtmSJlJDsLuL8PAwxowMbNU1esdJCka7HWtZOUQi+NulDa2YO2kZNpxpFoKBCOOjXgCW\nxHlr2uC4j7en5td87kN1GK4pYK60jjI+6iMtw0r1ksSc67RlSzUaGtpkgJGpx0wIkfpmLW68Xi9r\n1qyJ/bm+vp6AfCIZ09Q1TnDch4JCSXlWQrTBFGIuxLqk1a9FMeg3lC/ZyLwbES8FsXM3biD+527+\nY28L4YjK5hWFLC69fttZQ2xo5yJdh3beSklROqrdjAGFfTLzRogFY9ZnpMzMTHbv3h37865du8jK\nyoprqGTybkMv2UQ/zVq8LL4da4SYT1dbQN+nc5LkYq+Ntsn1tci5GzG3ppsKTM+7WVyaiaJAR7+b\nQDAyp7d1oWOUU01DWM1GPrVt8XVfG+p303tlHLPFyLI1xTNcQ2JYvCK6Vby3VWbeCLFQzFrcfPe7\n3+XFF19k06ZNbNy4kRdffJG/+qu/mo9sCc/tDXL60iAZALIlTaSQ0PAQga4rKFYb9qXL9I6TVGJN\nBVpa0CJz+4ZTLGwFxdFzN9NNBexWE+WF6URUjdbeuTt3E1FVfrk7Wpx/+IEKstOt1319emjnstXF\nWG2J3UBn60PTM29ULlwe0juOEGIezPqsVFVVxa9//Wu8Xi+qqpKWljYfuZLCocZ+0lUNAwZKFmXi\nmKcp0ULE22RDdLaNc9VqDNId8Y6YsrIw5xcQGhok0NWFrbJS70giRRQUp6MoMDrkIRyKYDIbWVKW\nRWe/m6aucZZX5szJ7ew71UPPsIf8LBuPbSi77muT7gAtFwdRFFi1PvFnutltZqy5dsIjPo6+38ny\nBD0fJISYOzMWN88+++yMP6QoCv/2b/8Wl0DJQtM09jf0xLakVS+VJ0yROmItoKVL2l2x19YRGhrE\n19IkxY2YM2aLiZw8JyNDHoYGJilelEldWRbvHO+as3M3bm+Q377XDsAfbq/FbDJe9/VzJ3tQVY2a\npflkZNnn5Dbjbd2GMo691cTkwCShcOSG+ySESC0zFjd/8id/csNliqKgaVrCtXzUw6XOMYbGfCya\n2tlXVSfFjUgNEbc7ehjeaMS5arXecZKSvbYW1+GD+JqbyN7xmN5xRAopKMlgZMjDYK+L4kWZ1E7N\nl2ntdREKq5hN93a4/7fvteMNhFlemc3aD2y1DgXDnD/dC0TbPyeLtauLOPROM2ZV49CRK2x7qErv\nSEKIOJrxWXDTpk0sXbqU2tpaNm3axKZNm9A0jdraWjZu3DifGRPS/jO9ZBJ9AAtLM0j7wJ5kIZLV\n5NkG0DQcS5dhdDj0jpOU7LVLgGjHNG1qBpYQc6Gw5PphnukOC6V5TkJhlY5+1z1d95UBN+829GBQ\nFJ5+tPaGDzIvNfYTDIQpKs2gqDSxhnbeisFgIK8imvfCmT6d0wgh4m3G4ubChQs8+eSTnDt3LnbZ\noUOH+IM/+AMuXbo0L+ESlcsT5OTlIXKmtqTVyB5ekUKutoCWLWl3y1xYiDE9g4jLRWhwQO84IoUU\nlFzfVADmpiW0pmm8sqcZTYNH1pVSmn/9+VpV1WKNBFZ/4BxOMtjycFV05o07wMiYzLwRIpXNWNw8\n//zz/OhHP2LLli2xy5577jm+//3v8/zzz89LuER1qLEPVdXInvpUq6pOuqSJ1KAGAngvnAfAWb9W\n5zTJS1GUqy2hm6UltJg72blOzBYjk64A3snozLnp4ubyPRQ3Jy8PcenKOGl2Mx97+MZtWx3Nw7jG\n/aRn2pLyNW9RSSaqLTrzZv+Bdr3jCCHiaMbixuVysWnTphsuf/jhhxkdXbj94lVNY39DdEuaokF+\nUXrSHKoUYjbeC+fQgkFs1dWYs7P1jpPUYi2hZZinmEMGg0J+0fTqzfXDPFu6J4io6h1fZzAU4Vd7\nWwD4+JZqnLYbOySeia3aLMJgSM5zt9XLorssultGdE4ihIinGYubSCSCepMnSVVVCYfDcQ2VyC52\njjE47qPIHO22Ur0k+T7BEmImsiVt7tjrpufdSHEj5lbs3E1fdGtadrqVgiw7/mCErsHJO76+t45e\nYcTlZ1F+GlvXlNzw9YFeF/3dE1isRpauKrq38Dra+nBVdOZNSOVy87DecYQQcTJjcbN+/Xp++tOf\n3nD5//t//4+VK1fe1pVHIhG+/vWv8/TTT/O5z32O5uZmOjs7efrpp3nmmWf4zne+k3SHbfef7kEB\nMqbqvmo5byNShBaJMHmmAZAW0HPBWlaOYrUSGhggPDE3bXqFACicOnczeLNzN1fu7Hdt1OXnzSOd\nADzzodqbrsqcPd4FwPL6EizWxB7aeStOhwVLTnSnxfvvd+qcRggRLzM+S/2f//N/+N//+3/z5ir1\nJgAAIABJREFUX//1X6xevRpVVblw4QI5OTn8/Oc/v60r37dvHwaDgV/+8pccO3aMH/3oR0D07M6G\nDRv49re/zZ49e9ixY8fc3Js4m5gMcLp5mEwUtIhGbr6TrBzpJiVSg6+5CdXjwVxUhKX4xk9vxZ1R\njEbs1YvxXjyPr6WZ9Ps26B1JpIiCqZWbwT43qqphMCjUlWVxsLGPy13jPLax/Lav6z/2tRAMq6xf\nWsCS8hu3oron/LReGsJgUFh1X+IP7ZzN2vWlnHinBXefm3BYxXSPrbOFEIlnxn/VaWlpvPzyy/z1\nX/81K1asoL6+nu9973u88sorZN/mXvwdO3bw3e9+F4Cenh4yMzM5f/48GzZEX+S3bNnC4cOH5+Bu\nzI+DjX1EVI2ajGjbZ1m1EalEtqTNvatNBWRrmpg7zjQraRlWQsEI4yPRzl915dGVm+buCdTb3BHR\n1DXOsYuDmE0GPvNIzU2/p/FkN5oGNUvzScuwzc0d0NF99SWEDAomDd4/dkXvOEKIOLjl+rLBYGDz\n5s1s3rz5rm/AaDTy1a9+lT179vCTn/yEQ4cOxb7mcDhwu913fd3zabqRgAJY/BHCSHEjUoemaVeL\nG9mSNmfstdNNBaRjmphbhSUZTLqGGOh1kZPvJD/TRna6lTF3gL5hzw2tnD9IVTX+fVe06H5iUzl5\nmTc2xgkGwlycmguzZmPytX++GYPBQG5ZBq7OCc419PLwA5V6RxJCzLF52Tz7gx/8gOHhYT796U8T\nDAZjl3s8HjIyMmb9+fz89HjGuy2nLg0yPOGnPN1K2B0iryCNumWFNww5SxWJ8JgvNHo+5pNtbYRH\nRzBnZ1G2cQ2KYWFs1Yj3Yx5JX0OP0Uig6wrZThMmh3RWTLbnlkggQHB4BFtxUUL9u6iuzaf10hCu\nMV/sMV21OI8Dp3voHfdTv7w49r03e8zfPtLBlcFJ8rLsPPvhFdgsN74dOLK/lWAgQkVNLstXpc5W\n1Y98ZAUv//QwqiuIYjSSJ9vLhUgpcS1uXn/9dQYGBvjiF7+IzWbDYDCwcuVKjh07xsaNGzlw4MBt\nrQoNDem/uvP6/mibzOo0Gx53iPLFOQwP33lXmmSQn5+eEI/5QqL3Yz689yAAjtX1DI94dMsxn+br\nMbeWV+Bvb6P7WAPOFbfXjCVV6f17fje6//5HeM+dxZiejmPZchzLV+BYvgJzTq6uuZwZFgA6W0di\nj2lFQXS15uSFfjbURjt53uwx9/pD/MvvLgDwqa3VuCd8fPBvRVVV3n+3FYBl9cVJ9/d2KxlpFsI2\nIyZ/hFd/28jHP7J8Tq8/2Qp4IVJNXIubxx57jK9//et8/vOfJxwO8xd/8RdUV1fzl3/5l4RCIWpq\nati5c2c8I8yJMXeAhuZhjIpCZNwPQHWdbEkTqePqlrT7dE6Seuy1dfjb2/A1Ny344ibZ+Dva8Z47\nC0DE7cZ97CjuY0cBMBcV4Vy+MlrsLF2KwTa/q3J5RekoCowOewgFw5gtpqsd07rG0TRtxp0Frx/s\nYNIXom5RJhuWFtz0e9ouD+N2BcjMtlO5WN9CLh6qlubT1dBPl7SEFiLlxLW4sdvt/P3f//0Nl7/0\n0kvxvNk5d/BsL6qmcV9ZFv4uFxlZNvIKb72fWYhkERwaJNjdhcFux7F0md5xUo69tpaxd97C1yLn\nbpLN2DtvAZD92E4yt2zFc+E83gvn8V26SKi/n/H+fsb37gajEXt1TWxVx1ZZhWI0xjWb2WwktyCN\n4YFJhvonKSnPoiTXQZrdzPhkkKFxHwXZN2636h32sPdUNwrw9I66mxZAmqZx5li0/fPqDYtScvv1\ntoer+ZeGfsxBlea2EWqrU6+AE2KhSt6G9fNEVTUOnOkFYJHNTC/RRgKp+GQvFibP6dMAOFetRjHJ\nU8Jcsy2Odkzzt7WihcPyGCeJ0PAQ7hPHwWgka8eHMOfkYikqJnv7DrRwGH97W6zYmV6Z8zU3MfL6\naxjsduxLl+Gc3sJWEJ/zmQUlGQwPTDLQ66KkPAtFibaEPtU0xOWu8RuKG03TeGVPMxFVY2t9CRVF\nN98+NdDjYrDPjdVmYkkSD+28lTSnBXO2DXXMz+FDHVLcCJFC5FV2FufaRxhxBcjPtDLRF91zLF3S\nRCqZPH0SkBbQ8WJKz8BSVEywvw//lU7s1TdvuSsSy9juXaCqpN+/+YbzNYrJhL22LtoN76MfJ+L1\n4rt8MVbshAYG8Jw+hWdqu6cpLy9W6DiWLseYNjcr/4XF6Vw4DQMfGOZ5qmmIpq5xHl59fROAMy0j\nnGsfxW418fEt1TNeb8PUqs2KdSWYzfFdgdLTmnWlnN7TykSvzLwRIpVIcTOLd09HV202VecycLqf\ntAwrBcVyWFCkhrDLFd0uZTTiWLVa7zgpy15XR7C/D19zkxQ3SSDi8TDx3n4guiVtNkaHg7S198XO\nrIWGh2KFjvfiBcLDw0wc2M/Egf2gKFgrKmPFjq1mMQaz+a5yFsaGeV4tbpZcc+7mWqGwyit7olsj\nP/pQFRkOy02vc2LMR3vTMAaDwsp1yT+081Y23FfKsb2tmDU4cqKLh+6v0DuSEGIOSHFzC6MuP2da\nhzEaFHIwMABU1eXJljSRMjxnG0DTcCxbjtEubYrjxb64jokD+6PDPB9/Qu84YhYT+/ehBQI4lq3A\nVn7nb3jNeflkbdlG1pZtaKpK4Eon3gvn8Vw4j7+lmUBHO4GOdkbf/B2KxYK9bmm02FmxAktJ6W2/\nxmTlOrBYjXjcQSbdAdLSrZQVpGGzGBka9zPq8sc6d+0+0cXguI/iXAfbb1G0NJ7oBqB2eQHONOsd\n3/dkYjQYyCnLxH1lgnOne6W4ESJFSHFzC++d7UPTYG1dHt1to4BsSROpRQZ3zo/YMM+WZjRVTah5\nKeJ6aijE2J7dAGTvvPdCVDEYsFVWYausIufJD6MGAviaLsdWdoI93XjPnY11ZTNmZuFYvjxa7Cxb\ngSkra+brVhQKijPo7hhjsNdF2pJ8DAaF2kVZNLaN0NQ9zpKafMYnA/zX4Q4Ant5Ri8l489+/gD/E\nxbOpNbRzNg89VMl///sZIhMBJlx+MjNsekcSQtwjKW5mEFHVWCOB+yqyOXV5BIfTQlFpps7JhJgb\nqt+P9/w5ANLWrNU5TWoz5eVhzMoiMj5OsL8fa0nqDERMNe5jR4hMjGMpXYRj+Yo5v36D1Ypz1Wqc\nU9tAw+PjeC+ejxU7kYlx3O8fxv3+YYBYDueKFdhrl2CwXr+aUlgSLW4Gel2xD9/qyjKjxU3XBAC/\nebeVQDBC/eI8VlbNfHD+QkMf4ZDKospscgsWRkfQyvJswlYjpkCEdw+089EPS8dIIZKdFDczaGwd\nZcwdoCDbjuYOAtEtaQaDbEkTqcFz/hxaOIytuuaWnw6Le6coCo7aOtzHj+FrbpLiJkFpmsbY29H2\nzzmPPzEvW5BNWVlkbH6QjM0Pomkawd4evOejxY6v6RLBnm6CPd2M73obxWTCtrg2dl7HWl5BQUl0\n29lg77XnbrKB6Lmby52jHDrXj8mo8IePLp4xRySi0ngyuiVt9YZFcbzHiadyST7dZ/u50iQzb4RI\nBVLczODdhh4Atqwppu3sACBb0kRqmWyQwZ3zyTZd3LQ0kbV1m95xxE14zzcS7O3BmJVF+sZN8377\niqJgLV2EtXQR2Y89jhoK4W9tiZ3XCXR24Lt0Ed+li/DqrzE4nRiXrAKWMtjnQlVVDAYDlcXpmE0G\neoc9/PQ/zwDwoQ1lFN5k7s201ktDeNxBsvMclFfnzNM9TgxbH67k3872YwpGaO0YpaZyYd1/IVKN\nFDc3MTLhp7FtBJNRYWVpJr9/twOb3URJuWxJE6lBC4fxnIm+6ZHzNvPDMX3uprlJ5yRiJtOrNtmP\nPpYQ84gMZjOOpctwLF1G3ic+RWRyEu+lC9Fi5/w5wiMjqKeOYKsoxU86jd/+HkVLy3EuX8GSAivn\nen109LnITLPw4c2VM97OQhjaeSsZ6TZMWTa0cT+HDnZIcSNEktP/2TsBHTjTi6bBurp8Bjqi7TQr\na/MwyCFgkSJ8zU2oXg+W4hIsRak5pC/RWEoXYbDbCQ8PExodxZwjb6ASif9KJ96LF1CsNjK3btU7\nzk0Z09JIX7+R9PUb0TSN0OAA3gvnyT3ppicMox4D9n17mdi3l6cUhXprHu/mruPxp7Zht878ct/X\nNcHwwCQ2h5m6FYXzeI8Sx+q1JZzZ18Z4j4uIqmKU13shkpb86/2AiKry3tloI4Ft9aW0Te3BrVkq\nW9JE6ogN7pRVm3mjGAzYamoB8LXI6k2imV61ydyyFaPDqXOa2SmKgqWwiKxHHqVia3RraWTjDnI/\n+nHstXUoisIi/xCfHDrIpiUzNxGAq0M7V64rxWRK3aGdt7JpwyJCCpg1OHqiR+84Qoh7IMXNB5xp\nGWF8MkhRjoNCp4XRIQ8Wq5HSimy9owkxJzRNY/L0aQCc9VLczCd77VRxI1vTEkpodAT38aNgMJC9\n40N6x7lj08M8hych9yMfpeyr36DmJz+DolLsQQ+Thw7O+LPjo146W0YwGhVWrF24jS6MBgNZpdHH\n8ewpKW6ESGZS3HzAdCOBrfUlsVWbysV5GGeYCyBEsgl0dhIeG8WYlYWtslLvOAtKbN5Nc7POScS1\nxnfvAlUlff1GzLl5ese5Y3mFaRgMCmPDXoKBMABGu53ij30UgNG3fo8WDt/0Z88ej3ZIq1tZhMNp\nmZ/ACerBhyoBCI/7cU8G9A0jhLhr8o79GsPjPs63jWIyGnhwVTFtl4cAqJYtaSKFTDZMbUmrXyfD\nJOeZraoKxWQi2NNNxOvRO44AIl4vEwfeBSD78Z36hrlLJpMxNpdmsM8duzxt3Xrsi0oJj4zgOvr+\nDT/n94W43NgPLLz2zzdTU5lD2GLECLx7oF3vOEKIuyTvbK6x/0wvGrB+aT5qIMzwwCRmi5GyKtmS\nJlLH9JY0OW8z/wxmC9bKKtA0fC0tescRwMSBd1H9fuxLl2GrqNQ7zl2b3po22Hd13o1iMLDok58A\nYPTN36Gp6nU/c/50L+GwSnl1Djl5iX/OaD6U10VX7jqmPtwUQiQfKW6mhCMqB8/2AVONBKae2Cpq\nchbsAUuReoIDAwR7ujHY7TiWLNU7zoJkXyznbhKFFg4zvmcXEB3amcwKp4Z5DlwzzBMgb8tDmPPy\nCQ0MMHnieOzySFjl3MnoNuw1G2XVZtrWh6tQAVMgQseVMb3jCCHughQ3Uxqah5nwBCnOdVC7KJO2\ny9HzNjK4U6SS6cGdztVrEmKOx0Jkr4ueu/G3yLkbvbmPHyU8NoalpATHylV6x7knBdMrN71uNE2L\nXW4wmch+4ikARn7/Rmz1pvnCAF5PkNx8pzTMuUZWpg1jphWAgwc79A0jhLgrUtxM2T/VSGBbfSke\nd4CBXhcmk4Hy6lu30BQimUyejhY3siVNP/aaWlAU/O1tqKGg3nEWLE3TGJ0e2vnYE0k/uDIz247V\nZsLrCTLpuv4wfMYDD2LKzibY043nTEN0aOdUI4HVG8uS/r7PtZX10a5xo10TRD6wlU8IkfikuAEG\nx7yc7xjDbDLwwKqiWJe0suoczBbZkiZSQ3hiAn9rC4rJhDPJP6VOZkanE0tJKVo4TKCjQ+84C5b3\nwnmC3V0YMzNJ33S/3nHumaIosdWbD25NM5jNZE9tuxv5/Rt0d4wxOuTB4bRQu6xg3rMmuvs3lMVm\n3hyXttBCJB0pbog2EgDYsLQAp818tUuabEkTKcRzpgE0Dcey5Rhsdr3jLGhXW0LLuRu9jL0ztWrz\n6IcwmM06p5kbhcXRczeDHyhuADIf3ooxPZ1ARzun9l4EYOV9pRhN8jbgg0wmA5lTZ5jOnJTiRohk\ns+Cf1cIRlUPXNBLweoL0dU1gMCpULpYtaSJ1xM7byJY03Ulxo69AVxfe8+dQrFYyt2zTO86cia3c\n9N1Y3BisVrIf28mkJYveoRAmk2FBD+2czeYHKgAIjfmZ9Mj2USGSyYIvbk41DeHyhijNd1JTmkF7\nU3TVpqwyB4tVDlyL1KD6fXgvnAdFIW1Nvd5xFjx77VTHtJbmG9rzivibXrXJfGgLxrQ0ndPMnel2\n0EP9k0QiN/5eZW7bTlfuagBqymzY7KmxYhUPdTV5hCyG6Myb99r0jiOEuAMLvrjZ3xDdkratvhRF\nUa7pkpZ8U6qFmInn3Dm0cBhbdQ2mzCy94yx45pxcTLm5qD4fwR7Z9jKfQqOjuI4dAUUhe8djeseZ\nUza7mcxsO5GwyujQjUNiA6qR/rTonKWS7qM6JEwuZYuj7wPaL8nMGyGSyYIubgZGvVzsHMNiMrB5\nRSF+X4iezjEMBoXKWiluROqIdUlbd5/OScS0q1vTLuucZGEZ37MLIhHS7tuAOT/1zlUWzDDvBuD8\nqR5UTSHP34Ph4kn87bIicSuPbInOvDH6w3R2j+sdRwhxmxZ0cTPdSGDjskIcNjPtTcNoGpRWZMly\nvUgZWjiM52wDAGn1a3VOI6bFihuZdzNvIj4fEwfeBSBnZ3IP7ZxJYfH0vJvri5twKMK5U9HXvBWL\nnUC0c5qYWVaWHUOGBQWFg++16x1HCHGbFmxxEwqrHJxqJLB16lBlW5N0SROpx3v5EqrPh6WkFEth\nkd5xxJRrmwpcO3RRxI/rvf2oPh/2uiXYKqv0jhMXhaXTTQXc113edH4Avy9EflEatR95BMVsxtNw\nmkBXlx4xk8aKNdH3ByNdLlQ5HydEUliwxc2ppiEmfSHKCtKoLs4g4A/R3T6GoiBb0kRKme6SJoM7\nE4ulqBiD00l4bIzwyLDecVKeFg4ztvsdgNjMl1SUW5CG0agwPuIl4A8B0YGlZ6eHdm4ow5yVFesS\nN/qmrN7cygObygkrYFY1Tk6d0RVCJLYFW9zsb4ge4t1WX4KiKHS2jKCqGsVlWTicFp3TCTE3NFXF\n03AakOIm0SgGg7SEnkfuk8cJj45iKSrGuWq13nHixmg0kFc4Ne9mavXmStsoYyNenOlWapZGdyZk\nP/4EGI24Txwn2N+nW95EZzIZSC+KdtQ7fUKafwiRDBZkcdM34uHSlXEsZgOblke36UiXNJGKAp0d\nhMfGMGVnY62o1DuO+AD74qmW0M1y7iaeNE1j7O2poZ2P7UQxpPZL3webCpw5Ft16tmp9KUZj9L6b\nc3LIfPAh0DRG3/y9PkGTxP0PVAIQHPXh8crMGyESXWo/w89guv3zpmWFOGwmQsEwV9pHAaiqk/M2\nInVMd0lz1q9DURSd04gPkpWb+eG7dJHAlU6M6Rmkb96sd5y4m553M9jror93gp7OccwWI8vXFF/3\nfdlPPAUGA64jhwkNS7vjmSytzSNkjs682S+NBYRIeAuuuAmFIxxqjC7Bb1tbCkBn6yiRsEpRaQZp\n6VY94wkxp+S8TWKzVVSiWCwE+3qJuN2z/4C4K6NTqzZZj+7AYE79bcfTxc1Ar5sj+6PtnpeuLsJq\nu74LqCW/gPSNm0BVGX3rv+c9ZzIprckFoE1m3giR8BZccXPi8hAef5jywjQqi6JL922XpUuaSD3B\n/n6Cvb0YHA4cdUv0jiNuQjGZsFVVA9ISOl4CPd14z51FsVjI2rZd7zjzIj3Ths1uxu8L0XiyG0WB\n1esX3fR7c578MCgKroMHCI+PzXPS5LFtaxUqGgZfiO7eCb3jCCFuYcEVN/tPTzcSKEVRFMKhCJ2t\nIwBU1cl5G5E6YlvSVq9BMZl0TiNmYq+dOnfTIlvT4mH6rE3Ggw9jTEvTOc38UBSFwqlzN5oWfW3L\nyLLf9HutJaWkrbsPLRyOrXCJG+VmO1DSrCgoHJCtaUIktAVV3PQMe2jqnsBqMbJpeSEAXe2jhEMq\n+UXpMz75C5GMZEtacrDXRlfV5NzN3AuPj+E6+j4oCtkfelzvOPOqYGprGsCajWW3/N6cpz4CwMT+\nfYTdrlt+70K2bOrM0nDnhMy8ESKBxa24CYVCfOUrX+GZZ57h05/+NHv37qWzs5Onn36aZ555hu98\n5zvzPrhuuv3z/csLsVujn2RLlzSRisLj4/jbWlFMJpwrVukdR9yCrboGFAV/ZydqIKB3nJQytmc3\nRCKkrbsPS0GB3nHmVWlFNgBlldkUlWbe8ntt5RU4V69BCwYZ3/XOfMRLSg9tvjrz5vTZfr3jCCFm\nELfi5o033iAnJ4eXX36Zf/qnf+K73/0uzz//PM899xwvv/wymqaxZ8+eeN38DYKhCIcbo09G2+qj\njQQiYZWOluniRs7biNQxeaYBNA3H8hUYbDa944hbMNrtWMvKIRLB396md5yUofp9TOzfB6T20M6Z\nFC/K5A+eXsNn/teG2/r+6dWb8X17iHg98YyWtMwmI2mF0a2Np05065xGCDGTuBU3O3fu5Mtf/jIA\nqqpiMpm4cOECGzZEn2i3bNnC4cOH43XzNzh+aRBvIExlUToVU40EujvHCAYi5OY7ycpxzFsWIeJt\n+ryNbElLDtISeu5NHHwP1evFXluHvbpG7zi6KK3Ixpl2ex1A7TWLsS9dhurzMb53/j54TDab7i8H\nIDDsxecP6ZxGCHEzcStuHA4HTqeTyclJ/vRP/5Q/+7M/u26PqsPhwD2PrU+nZ9tMt3+Gqy0dZdVG\npJKIz4fv0gVQFJxr1uodR9wGKW7mlhaJMLbrbSA6tFPcntwP/wEAY7veRvX7dU6TmJYvLSBkmpp5\nc7BD7zhCiJuIawulvr4+/uRP/oRnnnmGD3/4w7zwwguxr3k8HjIyMm7x01fl56ffU47OPhctPRPY\nrSaefLgGu9VEJKLGuqSt31x5z7eRauTxmH9z9ZgPHzyLFg6TsXwZxTWls//AApYov+eZ96+l70Xw\nt7WSl+NAMRr1jhQ38/GYD713iPDICLaSYip3PIxiWFC9c25wu4+5lreBid8twX3pMuEThyn9+Efj\nnCw5VS0roLuxn7aLg+Q/LavjQiSauBU3w8PD/NEf/RHf/va3uf/++wFYtmwZx44dY+PGjRw4cIDN\ntzkpemjo3lZ4XtsbnR9x//JCJl0+JoHujlF83hBZuQ4w3vttpJL8/HR5PObZXD7mffuj2z0tK1bL\n3+MtJNbvuQlzQSGhwQG6T13AVlmpd6C4mI/HXNM0rvznqwBkPPoYwyML+/zInT7m6Y89ifvSZbpe\nex3TxocwWFJ/6Omduv/+Mv6jsQ/FE+RMYy8lRdcXj4nyoYkQC1XcPs568cUXcbvd/OxnP+PZZ5/l\n2Wef5c/+7M/4v//3//LZz36WSCTCzp3x3y4QCEU4fD7aSGBrfUns8tbYljTpkiZShxYO42k8A0Da\n2vt0TiPuhH3x1Lyb5ss6J0luvqbLBDo7MKalk7H5Qb3jJB3nqtVYyyuITEzgOnhA7zgJKT/Xec3M\nG2kCIkSiidvKzTe/+U2++c1v3nD5Sy+9FK+bvKljFwfwBcJUl2RQXhj9NEVVNdqbol3SauS8jUgh\n3ksXUX0+LKWLFlzr22Rnr6vDdfggvpbmBTeTZS6Nvf3fAGRtf1RWHe6CoijkPPUR+n7+U0bfepPM\nLdtkCPBNLFlVSNP7XQx2jKOqKoYFvvVRiESS8v8apxsJXLtq0989gc8bIiPLRm7BwphYLRYG6ZKW\nvOyLp5oKNDXN+wywVBHo7cFz9gyK2UzmI9v1jpO00tauw1JSQnh0FNeR+etqmkwe3lxBGDBHNM6e\nH9A7jhDiGild3FwZcNPW68JuNbFxWWHs8rbLV7ukKYqiVzwh5pSmqkw2nAakuElG5sJCjOkZRNwu\nQoPyZulujL0T7ZCW8cBDmNJvr2GNuJFiMJDz5IcBGH3z92iRiM6JEo/FYsJZ4ATgxLEundMIIa6V\n0sXN9KrNAyuKsJqj3Yc0TaOtSVpAi9Tj72gnMjGOKScHa3mF3nHEHVIUBXvt9LkbaQl9p8IT47iP\nHAZFIfsx2dZ3r9I3bMKcX0BocAD3iWN6x0lIGzdHZ974h7z4/WGd0wghpqVsceMPhnl/upHA2qtb\n0gZ6XXjcQdIyrBQUS0cTkTpiW9Lq18mKZJK6Ou+mWeckyWd87x60cJi0+nVYCov0jpP0FKORnCee\nAmD0979Du2ZOnYhauayQkEnBCBw41KF3HCHElJQtbo5dHMQfjLC4NJNF+VfP1UxvSauqy5M3gCKl\neOS8TdKTYZ53Rw0EGN+3F4Dsx2Vo51zJeOBBTNk5BHt7YltexfWKqnIAaJZzN0IkjJQtbt493QNc\n30hA0zTaLkuXNJF6gn29BPv7MDicsTfIIvlYy8pRrDZCgwOEJ8b1jpM0Jg69h+r1YKtZHGupLe6d\nYjKR/cSTAIz+/g1pdHET27ZUoaGheIP0D03qHUcIQYoWN539bjr63ThtJjYsvdoOd3hgEveEH4fT\nQtGiTB0TCjG3YlvS1tRL29YkphiN2GtqANmadrs0VWV8qpFA9mOyajPXMh/agjEjg0BnB97zjXrH\nSTgF+WloTgsKCvv3y8wbIRJBShY37zZEV202ryzCMtVIAKBVtqSJFDXZEC1unLIlLenFtqa1yNa0\n2zF56iSh4SHM+QWyJTMODBZLrGgc+Z2s3txM3croGa+B9jFUOZskhO5SrrjxBcIcuRDd+7qtvjR2\nuaZptF2SLmki9YTHx/C3taGYzThXrNQ7jrhHseKmSYqb2WiaFhvamf3Y4ygySDEusrY9gsHpxN/S\njK/pst5xEs6WB6/OvDl3cUjvOEIseCn3SnD0wgCBYIS6RZmU5Dljl48OeZgY82Gzmygply1pInVM\nH/R1rFiJwWrVOY24V7aqajAaCXRdQfX79I6T0HzNTfjb2zCkpZHxwEN6x0lZBpud7B2PATD6uzd0\nTpN4rBYTjvzo+43jR6/onEYIkVLFjaZpsS1pW9eWXve1q13S8jHIp3sihVzbAlokP4PViq2iAjQN\nX2ur3nES2tg7bwGQtW27FPZxlrV9BwabDe/F8/ja5Pfyg9ZvKgPAO+jROYkQIqXe5XfiMP3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Gb/PgCsQ6W4Ea1LURRCBgwkft7jdP/dAiz9B+Cx2ynfsJ6s+Y9S9PZbuMrL2zwOd00NlV9/BUDU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\nvR5jTOypw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o4ZzlF9dR39ROUmw4k0bHAMctf5uq2Z8zCUlMxIgdTpjh5vD2wkCXIyIiIiJD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\n68bf+FrbPHDfSP75f2upPFZO9vpjdOwQzqgRXYyOJYRHKPqZY9JaWG1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bgNIVy3FVVxuc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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -745,7 +736,7 @@ ], "source": [ "for varname in cloud_vars:\n", - " data[varname].plot(fmt='-', linewidth=2)\n", + " data[varname].plot(ls='-', linewidth=2)\n", "plt.ylabel('Cloud cover' + ' %')\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", "plt.title('HRRR')\n", @@ -753,19 +744,17 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": { "collapsed": true }, - "outputs": [], "source": [ - "## Instanciate forecast model " + "## Instanciate HRRR ESRL forecast model " ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 31, "metadata": { "collapsed": false }, @@ -774,23 +763,33 @@ "name": "stderr", "output_type": "stream", "text": [ - "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:517: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", - " available.')\n", - "C:\\Users\\Derek.Groenendyk\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\siphon\\catalog.py:61: UserWarning: URL http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml returned HTML. Changing to: http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml\n", - " new_url))\n", - "c:\\derek\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:134: UserWarning: GSD HRRR CONUS 3km surface is unavailable.\n", - " warnings.warn(self.model_name + ' is unavailable.')\n" + "c:\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:539: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", + " + 'available.')\n" + ] + }, + { + "ename": "HTTPError", + "evalue": "404 Client Error: Not Found for url: http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mHTTPError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mfm\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mHRRR_ESRL\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32mc:\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, set_type)\u001b[0m\n\u001b[0;32m 558\u001b[0m \u001b[1;34m'high_clouds'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 559\u001b[0m 'ghi', ]\n\u001b[1;32m--> 560\u001b[1;33m \u001b[0msuper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mHRRR_ESRL\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodel_type\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mset_type\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 561\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 562\u001b[0m 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\u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdatasets\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 134\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_dataset\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\programmingfolder\\repositories\\siphon\\siphon\\catalog.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, catalog_url)\u001b[0m\n\u001b[0;32m 57\u001b[0m \u001b[1;31m# get catalog.xml file\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[0mresp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcatalog_url\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 59\u001b[1;33m \u001b[0mresp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_for_status\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 61\u001b[0m \u001b[1;31m# If we were given an HTML link, warn about it and try to fix to xml\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\requests\\models.py\u001b[0m in \u001b[0;36mraise_for_status\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 835\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 836\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mhttp_error_msg\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 837\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mHTTPError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhttp_error_msg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 838\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 839\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mHTTPError\u001b[0m: 404 Client Error: Not Found for url: http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml" ] } ], "source": [ - "# intialize HRRR_ESRL forecast model\n", "fm = HRRR_ESRL()" ] }, { "cell_type": "code", - "execution_count": 100, + "execution_count": null, "metadata": { "collapsed": true }, @@ -802,7 +801,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": null, "metadata": { "collapsed": true }, @@ -821,7 +820,7 @@ "outputs": [], "source": [ "for varname in cloud_vars:\n", - " data[varname].plot(fmt='-', linewidth=2)\n", + " data[varname].plot(ls='-', linewidth=2)\n", "plt.ylabel('Cloud cover' + ' %')\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", "plt.title('HRRR_ESRL')\n", @@ -830,35 +829,13 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": null, "metadata": { "collapsed": false }, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'ghi'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m 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\u001b[0mfm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvar_units\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'ghi'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_xlabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Forecast Time (UTC)'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mKeyError\u001b[0m: 'ghi'" - ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "data['ghi'].plot(linewidth=2, fmt='-')\n", + "data['ghi'].plot(linewidth=2, ls='-')\n", "plt.ylabel('GHI W/m**2')\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')" ] @@ -878,18 +855,6 @@ "display_name": "Python 3", "language": "python", "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3" } }, "nbformat": 4, diff --git a/docs/tutorials/notebooks/forecast_to_power.ipynb b/docs/tutorials/notebooks/forecast_to_power.ipynb index 6f609335a7..453d0b3229 100644 --- a/docs/tutorials/notebooks/forecast_to_power.ipynb +++ b/docs/tutorials/notebooks/forecast_to_power.ipynb @@ -16,14 +16,12 @@ "2. [AC power using SAPM](#AC-power-using-SAPM)\n", "\n", "This tutorial has been tested against the following package versions:\n", - "* pvlib 0.2.0?\n", - "* Python 2.7.10?\n", - "* IPython 3.2?\n", - "* pandas 0.16.2?\n", - "* matplotlib 1.5.0?\n", - "* netcdf4 x.xx\n", - "* siphon x.xx\n", - "\n", + "* Python 3.4.3\n", + "* IPython 4.0.1\n", + "* pandas 0.17.1\n", + "* matplotlib 1.5.0\n", + "* netcdf4 1.2.1\n", + "* siphon 0.3.2\n", "\n", "It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0.\n", "\n", @@ -86,6 +84,7 @@ " print('We suggest you install seaborn using conda or pip and rerun this cell')\n", "\n", "# finally, we import the pvlib library\n", + "from pvlib import solarposition,irradiance,atmosphere,pvsystem\n", "from pvlib.forecast import GFS,NAM,NDFD,RAP,HRRR" ] }, @@ -117,7 +116,7 @@ "# Tucson, AZ\n", "latitude = 32.2\n", "longitude = -110.9\n", - "tz = 'US/Arizona'" + "tz = 'US/Mountain'" ] }, { @@ -142,7 +141,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { "collapsed": false }, @@ -155,7 +154,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "collapsed": false }, @@ -171,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "metadata": { "collapsed": false }, @@ -190,7 +189,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": { "collapsed": false }, @@ -216,64 +215,64 @@ " \n", " \n", " \n", - " 2015-12-19 17:00:00-07:00\n", - " 15.050018\n", - " 4.284356\n", - " 99\n", + " 2016-01-07 23:00:00-07:00\n", + " 5.149994\n", + " 4.432889\n", + " 93\n", + " 13\n", + " 93\n", " 0\n", - " 79\n", - " 99\n", - " 3.337597e-28\n", - " 23.077653\n", - " 23.077653\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " \n", " \n", - " 2015-12-19 20:00:00-07:00\n", - " 9.850006\n", - " 3.676860\n", - " 60\n", + " 2016-01-08 02:00:00-07:00\n", + " 3.550018\n", + " 2.435837\n", + " 67\n", " 0\n", + " 67\n", " 0\n", - " 60\n", - " 0.000000e+00\n", + " 0.000000\n", " 0.000000\n", " 0.000000\n", " \n", " \n", - " 2015-12-19 23:00:00-07:00\n", - " 8.550018\n", - " 4.498577\n", - " 36\n", - " 0\n", + " 2016-01-08 05:00:00-07:00\n", + " 2.850006\n", + " 3.980565\n", + " 37\n", + " 4\n", + " 35\n", " 0\n", - " 36\n", - " 0.000000e+00\n", + " 0.000000\n", " 0.000000\n", " 0.000000\n", " \n", " \n", - " 2015-12-20 02:00:00-07:00\n", - " 7.050018\n", - " 3.663687\n", - " 72\n", + " 2016-01-08 08:00:00-07:00\n", + " 2.850006\n", + " 4.580174\n", + " 5\n", + " 4\n", " 0\n", " 0\n", - " 72\n", - " 0.000000e+00\n", - " 0.000000\n", - " 0.000000\n", + " 56.671207\n", + " 38.295502\n", + " 43.816387\n", " \n", " \n", - " 2015-12-20 05:00:00-07:00\n", - " 5.649994\n", - " 3.681549\n", - " 68\n", + " 2016-01-08 11:00:00-07:00\n", + " 12.250000\n", + " 4.284344\n", + " 5\n", + " 3\n", + " 2\n", " 0\n", - " 0\n", - " 68\n", - " 0.000000e+00\n", - " 0.000000\n", - " 0.000000\n", + " 714.975749\n", + " 102.041911\n", + " 475.021352\n", " \n", " \n", "\n", @@ -281,28 +280,28 @@ ], "text/plain": [ " temperature wind_speed total_clouds low_clouds \\\n", - "2015-12-19 17:00:00-07:00 15.050018 4.284356 99 0 \n", - "2015-12-19 20:00:00-07:00 9.850006 3.676860 60 0 \n", - "2015-12-19 23:00:00-07:00 8.550018 4.498577 36 0 \n", - "2015-12-20 02:00:00-07:00 7.050018 3.663687 72 0 \n", - "2015-12-20 05:00:00-07:00 5.649994 3.681549 68 0 \n", + "2016-01-07 23:00:00-07:00 5.149994 4.432889 93 13 \n", + "2016-01-08 02:00:00-07:00 3.550018 2.435837 67 0 \n", + "2016-01-08 05:00:00-07:00 2.850006 3.980565 37 4 \n", + "2016-01-08 08:00:00-07:00 2.850006 4.580174 5 4 \n", + "2016-01-08 11:00:00-07:00 12.250000 4.284344 5 3 \n", "\n", - " mid_clouds high_clouds dni dhi \\\n", - "2015-12-19 17:00:00-07:00 79 99 3.337597e-28 23.077653 \n", - "2015-12-19 20:00:00-07:00 0 60 0.000000e+00 0.000000 \n", - "2015-12-19 23:00:00-07:00 0 36 0.000000e+00 0.000000 \n", - "2015-12-20 02:00:00-07:00 0 72 0.000000e+00 0.000000 \n", - "2015-12-20 05:00:00-07:00 0 68 0.000000e+00 0.000000 \n", + " mid_clouds high_clouds dni dhi \\\n", + "2016-01-07 23:00:00-07:00 93 0 0.000000 0.000000 \n", + "2016-01-08 02:00:00-07:00 67 0 0.000000 0.000000 \n", + "2016-01-08 05:00:00-07:00 35 0 0.000000 0.000000 \n", + "2016-01-08 08:00:00-07:00 0 0 56.671207 38.295502 \n", + "2016-01-08 11:00:00-07:00 2 0 714.975749 102.041911 \n", "\n", - " ghi \n", - "2015-12-19 17:00:00-07:00 23.077653 \n", - "2015-12-19 20:00:00-07:00 0.000000 \n", - "2015-12-19 23:00:00-07:00 0.000000 \n", - "2015-12-20 02:00:00-07:00 0.000000 \n", - "2015-12-20 05:00:00-07:00 0.000000 " + " ghi \n", + "2016-01-07 23:00:00-07:00 0.000000 \n", + "2016-01-08 02:00:00-07:00 0.000000 \n", + "2016-01-08 05:00:00-07:00 0.000000 \n", + "2016-01-08 08:00:00-07:00 43.816387 \n", + "2016-01-08 11:00:00-07:00 475.021352 " ] }, - "execution_count": 10, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -320,41 +319,26 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { - "ename": "TypeError", - "evalue": "There is no Line2D property \"use\"", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mforecast_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'temperature'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0muse\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'1.4.3'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\pandas\\tools\\plotting.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[0;32m 3495\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[1;33m,\u001b[0m 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title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[0;32m 2585\u001b[0m \u001b[0myerr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2586\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2587\u001b[1;33m **kwds)\n\u001b[0m\u001b[0;32m 2588\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2589\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\pandas\\tools\\plotting.py\u001b[0m in \u001b[0;36m_plot\u001b[1;34m(data, x, y, subplots, ax, kind, 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\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcommand\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'plot'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'set_lineprops only works with \"plot\"'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 189\u001b[1;33m \u001b[0mline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 190\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 191\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mset_patchprops\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfill_poly\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\matplotlib\\artist.py\u001b[0m in \u001b[0;36mset\u001b[1;34m(self, **kwargs)\u001b[0m\n\u001b[0;32m 934\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mfunc\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 935\u001b[0m raise TypeError('There is no %s property \"%s\"' %\n\u001b[1;32m--> 936\u001b[1;33m (self.__class__.__name__, k))\n\u001b[0m\u001b[0;32m 937\u001b[0m \u001b[0mret\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mv\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 938\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mret\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mTypeError\u001b[0m: There is no Line2D property \"use\"" - ] + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" }, { "data": { - "image/png": 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ZA18DfOVfz+O/fesC3rh2YPWhOM6b23lspot4662pgVa1zjQv9Nzgpq+Nnf5W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\nvXv5sXJrmVtOO6zzgveBx39nwQFWHpyarPYwPJKiKDw0bTBVpxpYX1h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wOBxd/UcduzoA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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -362,7 +346,7 @@ } ], "source": [ - "forecast_data['temperature'].plot(use='1.4.3')" + "forecast_data['temperature'].plot()" ] }, { @@ -374,7 +358,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "metadata": { "collapsed": false }, @@ -382,18 +366,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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ejeuQhpI54IrEXPwWheyOMrigPE5YdxS2KCQi8Y5PRhtX7xMWhP/whz/Egw8+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\nFagO5yOJjK5PYDvKoMfP6389Q0aaQ8vigDE1s60rMd9HBn957zQeb4B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9yS763X5uvXIi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9weCmDjotBOeA16W2ddJutKtUT8BUav9N0cXx0OlTC1zpzKLQvzk33XQTVqxY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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -446,7 +430,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": { "collapsed": true }, @@ -459,34 +443,13 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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6nUyePJmzZ8/icDgYP348jRs35rHHHqNly5YAjB07lhtvvJFFixbx1VdfodFo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\ngSyEEEIIIYSX/w9r8zJoVWCMIQAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "solpos = pvlib.solarposition.get_solarposition(time, a_point)\n", + "solpos = solarposition.get_solarposition(time, a_point)\n", "#solpos.plot()" ] }, @@ -508,34 +471,13 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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KNrtDV/aLUZdoi9FxWpT4aIsC27j0Eg4AaAIuvTKvWbNGTz31VL3bbrnlFg0d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\n05DcLYkrMxgwYIBmzpwpSSorK1NRUZG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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "dni_extra = pvlib.irradiance.extraradiation(fm.time)\n", + "dni_extra = irradiance.extraradiation(fm.time)\n", "dni_extra = pd.Series(dni_extra, index=fm.time)\n", "\n", "#dni_extra.plot()\n", @@ -553,34 +495,13 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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SJJ67l4Uzy0IwWSYXkzQ55JkgCOc2w+BsmlBcZZGDmucqi2hcZRGLyTK5NO54lgJrlsVj\nDOTgbmriS4swxRVHi7Wygqk8c1woJsvkYoIgBzYlEY9jQQ4qZ5aF44qjHHjmuFhMlsnFVtdyYKIm\nHh9McmCiJp6z4sj6fbF4/r5YTJbJpRWYIMhA002EFAXRCIenKHxhkQPbXYun8oVFCqWW44yDCHwa\nk4tvrnIonnXNLooisRRGDlreQDikIBLmo0oUd5WFLyxClV4ceU8SgXcgcnE2TQ48pkk8NsOQgzMW\n+OIoDp8LcmDLcbGYLJOLR9PIgcmyeEwQ5KDpBmf3BdO4/C8FTTcQjYS4yiII/9XJxQ1+cmCCIB7L\nMOSg5k3O7gvGF0c5FM+6ZgxEYbJMrnyBN0XR2EVRDu75voyDMLZtc5VFAmqeK44yUHWDMRCIyTK5\nShv8OCBF4SyOHFTOLAtXMCxYts0EQbBS/T7jIJKmc5VFJCbL5GJrWfE0nu8rBb60iKcyBlLgxjLx\nLMtGXjf54igQk2VyMUEQj6cwyIGzaeKxblwO3OAnHo+NE4/JMrk4syweX1jkwLEgnlsWxhdHoXhP\nEo/3I/GYLJNLK5hsACAYZ9PkoOkmFAWIsYuiMBwLclDdza6MgyilxjCMgSh8EpCLDQDE4yyOHLS8\niUQswrEgkMpW11LQdKP44hhluiCKW4bB54Iw/Oknl8ZzHIVTudwmheJZ14yBSNzsKgeVL47Cuc8F\nziwLw2SZXGyGIV5pBoFxEInn+4rHVRY5aLrB2X3BeO67eEyWyaXpJrv3CcYEQQ58cRSPL45yKL44\nMgYiqVxlEY7JMgEodo4zLXaOE42bmsRzuihyNk0snu8rBzVvcEZTMNbvi8dkmQCMntFkkiYSZ5bF\n41iQA88cF69gcBJFBhprloXzNVnesmUL1q1bBwDYsWMHzjvvPKxduxbr16+Hbdt+fjRVSeMsjhRK\nLccZB1E4FuTgNsPgS4sw3FgmB43H9wnnW7J8yy234Mtf/jIKhQIAYMOGDfjc5z6HO+64A7Zt4/e/\n/71fH0014IymHDiDIB7HghzY7lo8jgU5qG4XRcZBFN+S5cWLF+PGG290Z5Cff/55vPWtbwUAnHLK\nKXj00Uf9+miqgXNT5AY/sfhwEk9l3bgUWL8vnrPKwhlNsbjBTzzfkuXVq1cjHC498EeXXSSTSQwM\nDPj10VQDrcDBKANNNxEJs4uiSHxhkYPbRZHNMIQp1Y3zuSAS70niBTYCQqHSDW9oaAiZTGbKP5PN\nJhGJBPvD0daWDvTzZBHbU3x5ac0lpfg3kOEaRDAsCw3xqBTfX4ZrECG2+wAAoDXXKPzfQPTni2SY\nNpLxCObMmfpZ4bfZGoftXUMAgNas+OeC6M8XybQBRQEWdDQjFBLbHGa2xiGwZPnII4/E448/juOP\nPx4PP/wwVq1aNeWf6e0dDuDKStra0ujqmp0z3p1dgwAAQzeE/xvM5jgMDhcQj4aEf//ZHANnLJgF\nsWNhNscAAAaHdcSiYeH/BrM5DntHvrdpmBwLAh0YzCMRC6O7e1Dodcz0OEz2IuB7suy0yLz00kvx\nla98BYVCAYcccgjOOeccvz+aqsCd53LQdBMtmbjoy5jVuOQpB003kWmMib6MWY1jQQ5qnk2SRPP1\nX3/BggXYuHEjAGDJkiW47bbb/Pw4qgM3+Iln2/ZI57hG0Zcyq3FjmRzUvIE52QbRlzGr8cgyOWi6\niXQyKvoyZjXunCAAnEGQgW5YsG3GQDQeWSYem2HIofTiyDiIpOYNNHCTpVBMlgkAkGfXMuH4wiIH\nxkE8loXJQXVmlpmoCeO8OLLluFhMlgkAZxBkkOfyvxRYhiEeZ/flwOeCeOyiKAcmywSAs2kyYAzk\n4NZpsluWMG7LcSYIQqk8Z1k4NoaRA5NlAsAZBBmUGgAwBiI5Y4GbXcXhi6McSuUwjIMoTikMx4JY\nTJYJQPHhFA6xc5xIXP6Xg6abiEVCCIc4FkThy7sctLyJkKIgGuFYEEVjGYYUOAIIAKAVTCRiYfdc\nbAoeZ9PkoOkmYyCYMxa4sUwsVTfQEOdzQSRVZ1mYDJgsE4DiDAITBLGYLMtB1dkAQDQ1z5llGfC5\nIB5rluXAZJkAYKQZBgejSO6mJsZBKM4si6fxKEspaLrB5X/BVO5lkQKTZQJQfDhxQ5NYnFkWz7Jt\n5JksC+eWYTAOwhQ7inIsiMZJFDkwWSZ2y5IEZ9PEy/OoLCmoPDpOuFIzDMZAJJUnkkiByTIhX2CS\nJgOeACAeZ/flwDiIp/HFUQoauyhKgckyjVrm4YNJJCYI4vH4PjkwDuKpfHmXAjv4yYHJMjFJkwTj\nIB5jIAfGQTx3RpMvLEKV4sCxIBKTZWKtrCTYOU48rrLIwYkDx4I4LAuTg8pVFilUlCzrug4A2L59\nOzZv3gzLsny9KAoWkzQ5qOwcJxxfHOXgnMIQYjMMYVTWykpBzZuIhNlFUbQpR8GNN96IHTt24DOf\n+Qw+9KEPYfny5XjggQdw1VVXBXF9FAAuecqBxzSJp/FMUykUG8MwBiJxZlkO7IEghylfVR588EFc\nffXV+M1vfoN//Md/xI9+9CM8//zzQVwbBYTJshx4UxRP09ktSwbFF0fGQCQ2w5CDpptsdS2BKZNl\n0zQRi8Xwhz/8AaeeeipM04SqqkFcGwWECYIcOLMsHl8c5cAEQTyeSCIHNW/w2SyBKZPlk046Ce9+\n97uh6zqOP/54rFu3DqeffnoQ10YBYYIgHjvHyUHlWBDOMC0UDItJmmAqT2EQzmIXRWlMeTf64he/\niHXr1qG9vR2hUAhf+cpXcOSRRwZxbRQQJ1nmBj9x2DlODmwtKx5f3uXgjAVu8BOHzwV5TDmzvGXL\nFtx3330wTRMXXnghzj//fNx7771BXBsFhMtt4jFBkAM3+InH+5EceE8ST+ULizSmTJavuuoqHH30\n0bjvvvsQj8dx11134eabbw7i2igged4UhePOczkwURPPacLAFxax2DlOPOeFhaUw4k2ZLFuWheOP\nPx6bN2/G2WefjY6ODp6zPMNwBkE8nu8rBz6cxCvFgGNBJI4F8fjCIo8pk+WGhgb893//N/7yl7/g\ntNNOw49//GM0NjYGcW0UEM6miccXFjlouomQwgYAInGVRQ5a3kA4pCAS5lgQha2u5THlKPjmN78J\nVVXxne98B83Nzejs7MT1118fxLVRQDTdHLkpsluWKHxhkYM20gxDYec4YXgiiRycUxg4FsRRueFY\nGlMmy3PnzsXpp58Oy7LwxBNP4O1vfzseeeSRIK6NAsKbonicWZaDmjdZKysYT2GQg6objIFgpTIM\n3pNEm3Ik/L//9//wzDPPoK+vD4cccghefPFFrFy5Eueee24Q10cB4DmO4jFZloOmG2hKxUVfxqzG\nmWU5qHkTLZmE6MuY1Vi/L48pZ5affPJJ/PrXv8Y555yDK6+8EnfeeSd0XQ/i2iggbLMsHssw5MAX\nR/E4FsSzbbv4XOCMplBcZZHHlMnynDlzEIvFsGzZMrz00ks49NBDMTQ0VNOHFQoF/Pu//zvWrFmD\ntWvX4tVXX63p7yFvMUEQzz0ui3EQpmBYMC2bMRCMZ12Lpxcs2DZnNEVTORakUVGyfNNNN2HlypX4\n6U9/il//+tcYHh6u6cMeeughmKaJjRs34uKLL8a3vvWtmv4e8o6TILB7n1hMEMRzZjSZIIjFLori\n8UQSOXAsyGPKZPmaa67BggULsGLFCqxevRq/+c1vsH79+po+bOnSpTBNE7ZtY2BgANFotKa/h7zD\nJU85MA7isW5cDjzfVzxnRrOBL+9CqRwL0pjyyZxKpXDqqadi9+7dOOOMM3DGGWfUfGpCMpnErl27\ncM4556Cvrw/f//73a/p7yDvs3icHJmrisTGMHBgH8fjyLgfWLJf85bm96BvUcc4Ji4R8/pQR+PrX\nv44777wTTU1N7q8pioLf//73VX/Yj370I5x88sn47Gc/i7179+LDH/4wNm3ahFgsVvXfRd5gkiYH\nxkE890xTzqYJVTpblnEQReUeCik4M8sskwQ2P70Lr+w+gNXHL0RIwDG3UybLDzzwAB5++GFPuvY1\nNTUhEil+ZCaTQaFQmLR1djabRCQS7A9JW1s60M8Tbf9gAQCQa05K9d1lupYgWAAUBVjQ0SzNedez\nLQY79hf3YrRk5RkLslxHkAy7uIeivT0j+lJcsy0Or+wbBAC0tTRK891FXUfBMHHTXX/D6hMW47BF\n2UA/2zBtNMQjaJ/DsdDW0oiX3+hHLBFDVsCRhlMmy0cccQTy+bwnyfL555+Pyy67DGvXrnVPxkgk\nyn/p3t7aNhLWqq0tja6ugUA/U7S9nQcAAKZhSvPdZ2McBgbziEfD2L9/UPSlAJidMdg38n3Nghxj\nYTbGAAAGh3QkomFpvvtsjENnV/E+ZOiGFN9dZAz2dA/hvr/sgKYV8OFzjgj0sweG84hHQ1LEABAb\nh2S0OHG6bUc3lsz15+VhsheBKZPl97znPTj77LNx6KGHIhwuXqyiKPjJT35S9YUkk0megCEZLv/L\ngcf3icexIAdVN7mhacQru/rx5+f24p/POgyhUHArTk7nONbKAk2NxSZFvQP5wD9bzZtIJ3kQAgBk\n0yNxOJDHkrnBf/6UI+Gaa67B5Zdfjnnz5rm/JssyMdWPCYIcNN1AMsGbokjcWCYHTTeQZRdFAMAT\nL3biwad24e0r5vk2mzYRPhdKGuJhxKNhIcmypptoa24I/HNl1Jwu7m3rHQw+DkAFyXI6ncZ73/ve\nIK6FBODZsnLQdBM5tpYVyj0BgBv8AAD3P/462nNJHLu8NbDPtCwbesHikWUjmlOlWc0gZ9NUnu/r\nUhQF2XQ88GS5YFgwTI4FRzYlboYfqCBZXrlyJT75yU/ilFNOcTfnKYrCBHqG4AyCeKZlQTcsxkAw\ndlEc6+5HXkN7NthkmUeWjeUuPQecIPC5MFY2HcfenmEUDBPRgA4d4ETWWM5Y6JM1WdY0DalUCk89\n9dSYX2eyPDNoPJpGuDyX/8cYVAt48K9v4Kx/WIhkIrh/EyZqY2UaY+gd0AL9THayHEtYsszzfcdw\n4zCoY05AZREqX1jGcFdZZC3DmDNnDj772c8GcS0kABME8ZggjPX89h7c/chraE7HccqxHYF9LjvH\njZVLx/Fir4qCYSEambLZqydUvjiOkRtJ0noOcGZZpNLmMi2wZNltdc0XFgBALBpGYyIirAxjyjvg\ngw8+OOlZyDS9sYPfWK/tOYCtr3QH+plMEMZKNxQ3Onb3C5rV5FgAAGTTxRr6IGdyNDYkGaPZnVkO\ndiyonEQZozSzHOBYYMvxcbLpOPpknVlubm7GO9/5Thx11FFjzkTesGGDrxdGwWCCMNYvHnoFf3+j\nH//1uVMDO6qpNLvPGABwNzr2BF4CwARhtFxGwGwaZ/fHiIRDI+UwwSYIat5EJBwKbEVBdiI2lzmb\nLFmzXNKcjuONriFouhH4fXrKT3vf+9437td4dJz3bNvGc6/1YMm8DFINwR0hxgRhrFRDFAXDQv+Q\n7s4m+I0vLGNlBS09q7qJWDQU6Hm2MnNLAAJMEHg/Gi+bjmPP/iHYth3Ys7eYjPB+5MhmBCTLOssw\nDjb6pWVeiyTJcldXF9ra2nDCCSdAURTYth3kdc06PQfyuOHOLVj91oVYc+ahgX2uppsIhxREwkwQ\nACA3svTcfUALLlnOswxjtFg0jHQyGmiSBjiNYRgDh9NStudAcDP8Kk8kGSeXjmPH3gEMaUZgEyma\nbnL5fxQRM8s8nWe80SdizGupv6t0Nco+GS6//HLcfPPNWLdu3bj/Tdd1PPLII75e2GzjbO7a1xNs\ni2+ncxxXC4qcpeeeAxowvymQz2QZxni5dAJ7ugOeTctzNm20nICTGDR2jhtn9IkYwSXLBlqb2AzD\nkW6MIRxSAj22TOXRceM0C6gdd5SNws033wyguMEPAAqFAu6//35s3LgRf/vb34K5ulkkGY8gEQuj\nO/Bdz0wQRnPrZQOMA8swxstl4tixL/jZtKZULJDPmg5EjAUelzVedtQmv4VzUr5/nm3b0PJsOT5a\nSFHQnIoFW5KU5wa/g4lsTDJl9f7OnTvxjW98A6eeeiq++MUv4oQTTnATaPKOoihoySQCXfIEuPR8\nsBYBS8+uqTuSAAAgAElEQVSs0xzPKYcJKg6WbSNf4FgYrTERQTQSEjKzzDiUuGMhoDjkCyZssFb2\nYNl0Av2DOiwrmJJUnkgyXqkMQw/8s8smy/fffz8uvPBCfOADH0B/fz++8Y1vYM6cObjkkkuQy+WC\nvMZZI5dJYDhvuLtgg+CUYVCRs5GjO9BkmbNpByuVwwSUIDAG4yiKglw6HuipJDxzfLzSGb/BjAXW\njU+sOR2HZdvoHwomUePM8nhSlmF86lOfwtlnn42NGzdiyZIlAV7S7NUyql52fpv/y20Fw4Jp2bwp\njpJuiCIaCbEMQzDnpSWoRK10pilncUbLpuPY16sG1uaX5yyPF/RJDKwbn5hTw983mA9k8zdnlsdL\nN0QRCStylWH86le/wrx587B27Vp88IMfxI9+9COYphnktc06To1gUHXLzk0xzsHoUhQFuUwi4Nk0\nJggHK5VhBDsWGIOxnHtScIkaT4Y5WKlOM9gXR46FsZx2y4Hdk9yW44yDQ1EUNKfENCYpmywfdthh\nuPTSS/HQQw/hox/9KB5//HF0d3fjox/9KDZv3hzgJc4eLZnSsWVB4E1xYrl0HAPDBeiFYF4OmSCM\nlwt4ZplLzxPLBnwiBu9J48WiYaQagjtKkc0wJubck4JK1ErHurIxzGjN6XigteOOKaMQiURw1lln\n4Xvf+x4eeughrFq1Ctdff30Q1zbrjDm2LACs05xYi7DZNMbB0ZyKQ4GImWUmCKMFfSKGmjcQjYSY\nIBwkm47zfiSYO7Mc1Au8bqIhHuGxrgfJpoKtHXdUdUdqaWnBBRdcgE2bNvl1PbNaS5OomWUmCKPl\nAt7kp+kGQorC1rKjRMIhNKVigb04MkGYmNtNMcASAMZgvGw6Dk03A9n87XwGT8MYKzeqIUYQVJ77\nPqFsOtgZfgefzhJpTsWhKEBPf3BJGsAE4WBBz6axMczEcpkEegfysALoHsqxMLGgW15rusHl/wkE\nGQe+OE6sOfCSJIMTWRNoFnTWMpNliUTCITSn4gFu8CveFOO8KY4RdDmMljd5VNYEcuk4TMvGQADL\nbVxlmZi7wS+oMgzOLE9odGMSv/E0jIlFwiFkktFAkjS3MQyfC+PkAj4dxsFkWTItzmxaAMXrKmfT\nJhT8RkvOIEzEneEPcDaND6exGhMRxAJqTGLZNvK6yeX/CWTTwb20OJtdOcM/XjZdfD7bPq92OY1h\n+MIyHmeWCUDxrcmy7UDqcZwNfrwpjhV0xyzWaU7MXXoO4KXFrdPkWBhDURRkA2pMwg3H5QV51jJL\nksrLpuPQDQvDPteO83Se8oI+ocfBZFkyQc5qsjZtYvFYGI2JSCBJGhvDlBdk7TjHQnm5TAIDwwUU\nDH+PUmQMyguyZtlN1LjKMk5Q3RRZClOeM7PMDX6zXJAnYrBOs7yWTAI9B/xfbuORZeUF2Xqcs2nl\nBTWTwwShvCCXnnlPKi+odsucWS4vGgkh1RBM7fhoTJYlE+xsmtPBjwPyYLlMAvmCiSHN3+U2zqaV\nF2Q5DF8cywtqQw3HQnkN8Qga4pGANvgxDuXkAnpxdPYTsURyYtl03PcXloMxWZYMyzDkENSJGIxB\neU2NMYRDCno5FoTKBtR6nHXjk8sF1JhE09kYppzmgPZRaG4pDMfCRLLpOPIBnTvu4GiQTIuTpAVw\n1jI31JQX1Aw/lzzLC4UUNKfiAc0sszFMObmAGpO4J5LwfjShbDqOIc1w79t+UfMmY1BGLqCGGG5J\nEuMwIREnYvDJIJmGeASJWDiQs5aZqJXnziwHlCDwhWViuUwcfYN5mJbl6+doevFMUzaGGS8b0OYy\n937E2bQJZYOql+VRlmWVWl4Hs8rC+v2JBTUWRmOyLBlFUdCSSQRWhhEOcTZtIkGVwzBZnlwuk4Bt\nA30D/jYm0dhatqygGpNwU9PkSicx+H9P4kkYEyvWjod9b3mt8rkwqWzArccBJstSymUSUPMGhgPY\nXMbBOLFcQHWanN2fXJAlAIzBxJzGJP7HgGNhMkE06XEaw3BjWXnNKf9rx7U8V1kmMyvKMG666Sas\nWbMG73//+/Hzn/886I+fFpzj44J4ODFZnlhzOgZF4QY/0YKoHbdtmy+Ok1AUBdmRzqJ+4liYXBBH\n+HEfy9RyTu14wb/acdbvT27Gl2E89thjePrpp7Fx40bcfvvt2Lt3b5AfP220BHgSA2dxJhYOhYqb\ny4JKlrnsOaEgZpYNk41hppJLx31vTKKxDGNSQSTLrJWdWnMAJQAqzxyf1Iwvw/jTn/6Eww8/HJ/4\nxCfw8Y9/HKeddlqQHz9t5Nx6Wf9ncvhgKq8lk0DvgA7L8q8xCZeeJxfEzLLKM5anFMT5smxKMrlg\nYsAXlqk4Ryn6Goc870mTaUxEEAmHAi3DCDQSPT092LNnD2666Sbs3LkTF110Ee69994gL2FaaHET\nBP9m09hmeWq5TBzbdtnoG8y7SZvX+HCaXDaAVRbO7k+tFIc85mSTvnwGNzVNriEeQTwa9nWVReWJ\nJFMKcoafY2FiiqIgm44FWoYR6IjIZrM45JBDEIlEsHTpUsTjcfT09CCXy5X5/UlEIsH+sLS1pQP9\nvInY4eJ3Hsqbvl1P/8gPWSadkOI7H0yGa1rQnsHjL3TCDof9u56Ro8rmz21CW86fJKRWMsSg1bYR\ni4QwoBZ8u54BvXgsXbapQYrvPJos17OooxnADhiK4ts1OQs4C+c3IxrwfX8qssShtbkB/UO6b9fz\nRo8KAGjJJqX5zg5ZrmfJgmYAgG77d02FkYms9vaML39/PWSJw5xcI154rRu5XCPCATTQCTRZfstb\n3oKf/OQnuOCCC7Bv3z6oqopsNlv29/f2Dgd4dcUfgq6ugUA/cyKmaUFRgF2dA75dT1df8aao2LYU\n33k0WeLQEC0OwFde70FLY9SXz+gbmTEdGtTQZfrbbKAassQAKNYIdvYM+3Y9e/YdAADYpiXNdwbk\nikEUxUx2x64+dC1q9uUzDgzlEQkr6Av4vj8VmeKQSUaxq2sQu/f0+fJCsW/ke1oFU5rvDMgVg5BZ\nfLl+Y88B365pcFhHPBaW5js7ZIpDYzwMywa2be/2bOV3sheBQJPl0047DU888QTOPfdcWJaFr371\nq2wCMIFI2P/NZVz+n5pTI+jnWcuMw9Ry6The7FVRMCxfzgQv1Y0zBuUEcWyZmmczjKm4dcuDOuY0\nN3j+97tnXbMkqSynJMnPEgAtbyCZ8GeCZqYYfSKGX2WSowV+Z/rCF74Q9EdOSy1NCby66wBMy0I4\n5H2CkOempikFsblM001EwiFEAlhGmq7cphgDmi/1shrHwpRKDTH8HQt8YZmcm6gd0HxJlkttljkW\nykk3RBEJK+j1tXbcdI+QpYllU8GeiMEntKRaMglYto3+QX86l3E2bWq5QDaX8azrqeRGbS7zA2f3\np9aYiCAW9bcxCY+ynJrfJzGo3Ow6JUVRfG1MYpgWCobFsTCF5gA2Wo7GZFlSToLgVwmAkyDEmSCU\nlWqIFjuXcTZNKLebok+Jmtstiw+nsoq7zxO+jYViYxiDSdoU/D6JgUdZViabjqN/SIdpWZ7/3Xx5\nr0wQp5KMxmRZUi3uWcv+JAgqZ5an5HQu87tmmQ+myQU1s9zARG1SuXQcg6o/jUn0ggXb5vL/VEpN\nenwaC3l2jqtENh2HbcOXlV+NjWEq4pRhBHV8HJNlSfldL1tqp8kBOZmWTDFB0H1obcrZtMqUZpb9\nWnrmbFol/EzUWBZWGc4sy8HPOKh8NlckiE6KozFZlpQ7s9zvz6xmnks9FfEzUdON4mwaYzA5v2vH\nuexZmayz0dKHF3g2JKlMqiE60rnMpxXHPFdZKuFn7bjbkIQxmFQkHEImGWUZxmzXElDNMmcQJudn\n7ThjUJmGeATxWJgb/AQrzSz7MRa49FwJRVGQS8f9K8PgzHJF/JxZ5lioXHM6jt7BPGzb9v2zmCxL\nKpmIoiEe9nE2rTggucFvcn62HufSc2WcBMGv2TRu8KuM8+LoS4KQ5wtLpbLpOA4M6jBM7zeXqbqJ\nWDSEUIj9DyYz+oxfr6kcCxXLpuLQC5Y7G+8nJssSy2US6OZsmlB+1o4zQahcLpPAkGa45UNe4lio\njLP07MdYYN145bKZOGz4t7mMtbJTczeX+TmzzDhMKcgTMZgsS6wlk4CaNzCsef/WxAShMn7Wy3LJ\ns3L+lgBwNq0Svs4s83zfivlbAsCjLCvRlIpBgV81yxwLlWr2cYb/YEyWJVZqMet9gpBnolaRnK9l\nGDymqVJ+zvCrOmfTKpGMjzQm8bV+n2NhKn6eO67qBhKslZ1SJBxCpjHmS2kYZ5Yr5+cM/8GYLEvM\n3eTnw4kYmm4iHFIQjfBHYDLxaBiphqhPx2UxQaiUvzP8nE2rRLF2POHPWGDdeMX8mlm2LBt6weLL\ne4Wy6Th6B3TPN5eVTiThWJhKNsDj45gpSczvWU0mCJXJpePoPqB5flPkJsvKlVZZ/KkRZJJWmWza\nn3PHVa6yVMyvZJllYdXJpuMwTAuDasHTv5cNwypXKsPwvn7/YEyWJVbq4udXgsDBWIlcJgG9YGHI\n49pxHh1XObdm2eMXR2c2jWOhMm7dssc1gpxZrpxfzWFYK1sd315a3HOWORamwpllAuD3sWVss1wp\nv+LAMozK+TWzzBhUx68TMbjBr3LpxhjCIcXzelnWylbHvxl+rrJUKhmPIBYJsWZ5tmtOx6Ao/jXE\nYIJQGb8ak3DZs3LxaBiNiYgPLyycxalG6UQMJmqihBQFzam45wmCyheWqvh11rKqG9xPVCFFUdzG\nJH5jNCQWDoWQTcc9TxAKhgXTspksV8ivkxg4q1mdXKa4uczL2nHO4lSnVA7jU6LGOFQkm4mjb0CH\nZXk5FvjyXg33JAavnwv54kSWovAoy0pkU3EMDPnTpGc0JsuSy2US6B3QYVre/SDwplgdv05iYLJc\nnVw6jrxuetqtic0wquMcW+bH5jLOplUul47Dsm30D3m3sclpksQXx8pkRyZR/JhZ5v2octm0f016\nRuOdSXItmQQs20bfgIc3xZEkjacwVKbFr3pZbmqqih8z/HxhqU7WxxdHzqZVzo96Wb44VsevM37V\nvIkGlsJULKjGJEyWJedHvSwThOo0pfypHWccquPO8HtYL8uW49VJxiOIR8O+nADAGFQu687wez8W\nmKhVJh4LIxmPeHoSg23bxZOquIeiYs5Li98nYjBZllyrDycxsAyjOn7VjrPNcnVyPpzEwA1+1VEU\npTgWfDgBgDGonB/Hx3FmuXpejwW9YMG2udG1Gn62fx+NybLkcu5Zy94lannOaFYtl0mgz4facT6Y\nKufLzDLHQtW8bkxSnE3j6TzV8CNB4PF91cum41DzhvvSXS/nhYWz+5VjGQYBGH3GL+s0RXI31Hi4\niYAJQnWyvowFdsuqVun4OG/iUDqdhy+OlfIlWc7z+L5qeR0HNc/7UbX8qh0/GJNlyfkxs6yyzXLV\nfHlpKTBZroZzU/S2JIldFKvlNibx6OHE4/uq5+yj6OVeFqG87iDH+1H1mlIxKGCyPOslExE0xMO+\nJAicQaic1y8tlm0jzy6KVYlGQsg0xjytEeQGv+p5fZQi91BULxwKoTnlbb2sM6vZwNrximU9rh3X\nGIOqRcIhpBtj3OBHxUSNp2GI5XW9LOvGa5NLFzuXedWYhBv8qpfzfOmZY6EW2XQcfYN5WJ6NBR4p\nWi13ZtmjelmVqyw1yaaKXfy8bFh1MCbL00BLJgE1b2JY82YTQZ5LPVVzT2Lo93q5jTfFauQyCRQM\nCwNqwZO/j3GoXs7zMgy+sNQim47DMG0MDnszFlTdQDwWRohnXVfM65Ikt2aZY6Eq2XQcBcPCkEc5\n0kSYLE8DLR4fH8dNTdVrafK2DINLz7VxZzU9qh134sCZnMo5jUm8qpdlzXJtvN5c5rRZpsr5V7PM\nOFTD6zhMhMnyNOB1YxIut1WvMRFBLBLyrAyDN8XaeF07rukmwiEFkTBvhZVyGpN4NpvGl/ealGb4\nvXuB5z6W6jQmIohGQp7PLLNmuTpBHB/HJ8Q04P3MMhO1aimKglwm4dlpGIxBbbzfXMY2y9VyGpN4\nNqPpnu/LBKEanh9bprPNcrUURUE2Ffd8ZpkvLdUJ4vg4JsvTQGk2zeMaQQ7IqrRkis0Y8h40Y2AM\nauN1vazKxjA1yXk5FrjBryZeJsuGaaFgWBwLNcim4zgwpMMw629Y5a6y8KWlKjO2DKO7uxunnnoq\nXnvtNREfP+14PbOcH1l6jkb4rlSNrIdxYLes2ng+s5w3GYMaePlw4otjbdyW1x5MonClq3bZdBw2\n4EnDKjaGqc2MLMMoFAq44oor0NDQEPRHT1vN6eIB9Ps9Xnqm6rgvLZ4kCHw41cJpxuBFDNhmuXbu\nDL+HL44sAaiOmyB4ULPMF5baeTnD7x6jyLFQlRlZhnHdddfhvPPOQ1tbW9AfPW2FQyFk03FPT8Ng\nglA9dyannw8nUZxmDF6cxFAwLFg22yzXIpvxrhlDqcUv41CNSLjYpMeLBMEpheELS/W8nNXkSVW1\naYiHEY+GZ04Zxi9/+Uvkcjm8/e1vBwBfD5CeaVoyCfQO5GFa9ddFaewcV5Och8fHuQ8n3hSrlsvE\n0Tugw7Lqu39wdr92zsyyJ4kaj46rWdajJj1ss1y70nGW9T8XVN1ELBpCOMQSyWooioLmdNzXMoxA\nR8Yvf/lLKIqCRx99FC+++CIuvfRSfO9730Nra+uEvz+bTSISCfYG2taWDvTzKtXRlsbf3+hHKBZF\nWzZZ89/jLD2nGmPSfldAzjgsH3keqQWr7utTRurF57ZnpPyugJwxAIB5rSm8susAIokoWppqL+cy\nlCEAQHMmIe13lfW6DjGKg8GLseC8/i/oaJb2RAxZ4zC3pRE79g6gIZVAOhmr+e95vXsYANCaS0r7\nXWW9rqUjTWE00677GguGhcZEVNrvCsgbh/ZcElu37UdzNomoD3ljoHem22+/3f3/r1u3DldeeWXZ\nRBkAenuHg7gsV1tbGl1dA4F+ZqUaR5bH/v5aNxSj9h3oBcOCadmIKJD2u0obh5F/912dA3VfX2+f\nCgDQhvJSfldpY4CxY8Ga31Tz37Nrb/H7KZYt5XeVOQaKUVwu3u3BWOgfzENRgAP9wxiQ8Ag/meMw\neiwsnJOq+e/Z21n8fmbBlPK7yhwDZeQUDC/GwqBaQEM8Iu13lTkOzljY9lo3Wptrm0SZ7EWAc/3T\nRItHpwCwVrZ28WgYqYYod58L5tXxcRqPaapZg4eNSYqd4yI867oGWY82+fF+VLtMYxSK4lFJUp77\niWrl94kYwjKm2267TdRHT0tedS5j97765DJx7O0ehm3bdT3cWSNYO6+Oj2MMalds0uNNYxJuOK6d\nZy+O7BxXM3fTcZ0xMC0LumGxdr9Gfp+IwZnlaaLFo8YknEGoT0smAd2wMKQZdf09mm5AUYBYlEOw\nWjn3vGuOBZGyaW8ak/D4vtq5M8scC0I1p+LoG8zDqmOjZekIRb6w1MLvxiR8Uk8TLU3enGvKMoz6\nODM53XUeH8c2y7Vzj/Cre+mZxzTVwxkL9T6cNN1gglAj5wi/emfTnM5xjENtcuk4DNPG4Mhmv1rw\nCMX6+F2GwWR5mmiIR9AQj9RdhpHnDEJdck3e1Y7zplibdGMM4ZDi4cwy41CLbLr+sVAwLBimzftR\njUpLz6xZFqnZg8YkPOu6PizDIFdLpv7GJLwp1se7zWVceq5VSFGKTXqYIAiV86AxCVe66hNzNh3X\nO7PMWc265DxIllWOhbo43V2ZLBNymQTUvInhOuplnQHJDX61afFwoyWTtNrlMgkcGNRhmLU36VG5\nqakuWQ9eHNmQpH5OY5J68MWxPl6UAKicWa5LOORdR8uJMFmeRloy9dctlx5OTBBq4cVJDKZloWBY\nnEGoQy4Th4366mWZINQn50G9LEth6pdNx6HppvvyVwstb0ABJ1FqlfPgCD+ustQvm4qjb1D3pTs0\nk+VpxHk47fcgWWaCUJvmVBwhpb56Wcagfl6Uw/DhVJ+cBzXL7vI/Z9NqVtrwWk8JgIlEPIwQNxzX\nxJOaZZ0zy/XKpuMwTAuDau0bLcthsjyNeDOzzAShHqGQgmw6Vle9rLORg8ly7byY4edLS30a4hHE\nY2GPZpYZg1p50ZiEG47r48XmMrcsjHGomRcvLeUwWZ5GnOPj6qmX5WkY9ctmEugdyMO0aquX5QtL\n/byZWWaDnnooioJcur5NxxwL9XNqx+s5a1nNcw9FPWLRMBoTEU+SZcahds5LS58Px8cxWZ5GWjxo\nxsAEoX4tmQRsG+gb0Gv685xNq583M8sG4lEuPdcjl45jSDNqbkzCsVA/L85aLm445gtLPbLphDer\nLNxwXLMsZ5YJKB6NElKUumaW+XCqX71NMfjCUj8vuvhpnE2rmzurWePDiW2W61dvzXLxrGuLtbJ1\nqnejpcbGMHVjskwAikejZNMxLnsKlqvz+DjGoH6NiQhikVB9teO6wVmcOrknYtQ8FvjyXq/mOutl\neT/yRr2Jmnt0HMdCzdyW1yzDoFzd9bImwiEF0QhDXyunHKbWGkEmCPVTFAW5TKLukiTGoD7ZOmc1\n2Wa5fk5311o3+PGsa29k6zxr2W1KwrFQs9KLY20lkpNhxjTNOPWytb695pkg1M2ZTat9ZpnJshdy\nmTgG1QL0GuplTcuCblhMEOrklsPUPKvJseCFXB2NSUrH9zFJq4ebLNc6iZI3oShAjBNZNWuIR5Co\n84SechiVaabeWs3iEUF8MNXDixgAXPasV66Oetk8m2F4opQg1PbiyDbL3sg6Gy316l8c+cLiDS9m\nlhtiESjccFyXbDrOMgyq//g47nquX2Miglg0VHPtOB9O3qjnRAzGwBv1HuHHOHijnkSNG8u8UW/N\nspY3ucnSA82p4opjwajthJ5ymCxPMy11JAi2bbNO0wOKoqAlk2AZhmD1lACojIEnGuJhxGPhOlZZ\neDKMF+qZ4ef9yBvu5rI6NlqyFKZ+pRdHb+uWmSxPM6WTGKofkIZpwbRs3hQ9kKtr2ZM1gl6op92y\nxjpNTziNSWreXJY3EI/xrOt61fXiyM5xnkjGR1YcaxgLtm1DzZuMgQfqfWkph8nyNFNPy2uNdZqe\nKT2cOJMjSraOBIEx8E49jUk03eQmSw/UUwLgHFnGsVAfRVGQTcVrStJ0w4Jl20iwDKNu9R6lWA6T\n5WnGOSaolhIAJgjeqWeTH49q8kZpZrn2Ok2+ONbPeWmp5eFU3HDMGNSrnmSZK13eyabjODBcQMGo\n7mhXjRtdPeNXYxImy9NQSyaO7n4Ntm1X9edYH+ideo6P03QD4ZCCSJjDrx7OiyNn98WqpxxG5R4K\nT+TqSpY5FrziJGr9VW605ASKd/xqTMKn9TSUyyRqaqvJ2TTv1FsOk4iFeUSQB3KZeF2z+0wQ6per\ncWbZtCwUDIunMHigIR5BPBqu8cWRp2F4JVvj6TBszuMdlmGQq3R8XG1vr0wQ6ldXGUaes2leyaUT\nUPMGXxwFytY4s8z7kXcURUG2xsYkbLPsnVpnNVk37p2mxhhCilLzedflMFmehloytZ21nOfDyTPO\nsmetZRhM0rzhnrVc7UwOH06eqbUEoNSQhDHwQjYdx0At9bLc+O2ZbI37KJyaZc4s1y8UUtCUivE0\nDKq9GYPK2TTPxKJhpBqiNZ/EwATBG7kaz5fl0rN3al16dpM0xsATuVpnNXWj2GY5ynSgXjXPLOt8\ncfRSc6q4ymJVua9rMhwd01CtM8tc9vRWSyaBngPVbbQsGDzr2ku1ni/LseCdZCKCRA2NSRgDb2Uz\ntc3wa/niShf3UNTPnVmu8X7El3dvZNNxmJaNweGCZ38nk+VpqKXGelk+nLyVy8RRMCwMqpUPSNbK\neqvWkxg4FryVraExCY/L8lY25SRq1Y8Ftln2RiYZQzikVF0CoHIseCrrwyY/JsvTUFOqWMDe3V/b\n0jMHpDdq2eTHJM1btW605FjwVi6TqLqjJY/L8pZTDlNL7TjHgTecetmqXxzdmWWOBS80p2MA4Okm\nPybL01A4FEI2HWMZhmC1HB/HzTTeKi17Vj8WwiEF0QhvgV6oJQ7cQ+EttxlDFS+Otm2zi6LHsuk4\n+gb1qupl2XLcW360vOaTYppqySTQN5iHYVa+85mnYXirlsYkpW5ZjIEX3I2WVc4sF2fTGAOv1HIi\nhpbnbJqXaqlZNsyRPRSslfVMNlWslx0Y0iv+Mzydx1vTvgyjUCjgC1/4AtauXYsPfOADePDBB4P8\n+Bkl15SAbVe365Yd/LzFMgw55DJx9AxUt9GyeCIJEwSv1DYWOLPspXRDFJGwUtXmMpX3I8+55TBV\nPZvZctxLzc7L+3Qtw9i0aRNyuRzuuOMO3Hrrrfja174W5MfPKLVs8uPDyVu5GpaeWYbhvVw6Ab1g\nYUirvDEJNzV5qzSzXMtYYBy8UGpMUkUMuPzvuVrKYTgWvDXtyzDOOeccfOpTnwIAWJaFcJg/GLXK\nVXl8nJo3MDBcYJ2mh5pT8eJGywpjYJgWuvpUALwpeqmac8dt20bPAQ15zix7qtojs9S84Y4bzqZ5\nJ5tOoH9Qr6g8z7Js7O0ZBsD7kZeyVc5qDqoFHBjWEYuEEAnz2eyFRCyChnik4hiYloXO3uFJf0+g\nd6lkMgkAGBwcxKc//Wl89rOfDfLjZ5QWp152ghMx+gbzeH3fAF7fN1j8b+cgOnuLSVpTKhbodc5k\noZCCbDo24ez+gWEdOzsHsXPfIN7oGsTOzkHs3j8E0yqWCqQaokFf7ow1ugRgUXva/fUhrYBdXUN4\no2sQb4z8d1fXkLuZhjHwjhODg2sE1byB3d1D2N01hF37h4r///1DY8YM4+CdXDoOG8CBId2NiV4w\nsbdnGHu6h7Gnewi7R/67r2cYhjlyP0oyBl7JTlC/70yU7O0eLsaip/jfvd3D7tGjzp8jb2TT8TEz\nyx7zXT8AABTOSURBVNbIRMm+XhX7eoaxr0fFvt5h7OtVsb9PhWnZ2HT9e8r+fYG/0u/ZsweXXHIJ\n1q5di3e9612T/t5sNolIJNg33ra29NS/SQLLjeJNbm+fihffOIBXd/fj1V39eHV3/7ilh1RDFCuW\nt2LZ/CaceMy8afEdp8M1AkB7SyNe3N6DZ1/vw449B/Da7gN4bXf/uKQhFg1j2fwmLO1owmGLmnHa\nWxdJP4swXWKweH4zAOBv23vwRvcwtu89gB17Dox7kQwpQEdbCovnZrB4XganrVyAttZGEZdcsekS\nA6DYUGH3/iFs+svreH3vAby+bwBdIy/po+UyCRx3WBsWzU3jmGWtWL6kRcDVVme6xGF+exp4fh82\n/fl1DGkFvNE5gH09wzi4nL8hHsbSjiYsbE9jUXsaq09cjHRS7omU6RIDM1S8r299tRtd/Xns6hrA\n3u5hd6LEEQopaM8lccSSHBbMSeGEo+dOi+84Ha4RAObkkti9fwg3bXoeu/cPYW/30ISt4NPJKJYv\naMa8tsmfBYEmy/v378eFF16Ir371qzjxxBOn/P29U0yLe62tLY2uroFAP7NWilmscXp06x48unWP\n++stmQTefGgrFrWnsag9hUVz0shl4mO6M8n+HadTHDLJKCwbuOF/nnJ/LZeJ49hDWrCwPYUFbSks\nnJNCezaJUKgUg96eIRGXW7HpFIP4yD/rH/76hvtr2XQcxyzLYUFbCvNbG7GgLYWO1iSio1++bUvq\n7zidYgAAbU0JvN45iLs2bwNQXMU6akkWHS2N6GhrxPzW4v9LJsbOYsr+HadTHNKJ4iP9oaeLYyGd\njOLQBc3oaG3EvJYkOlqK/82mxz4TtKE8tCHv6ju9Np1iYBkW4rEwdu4rriw2JiJYOi+Dubkk5rYk\ni//NJTEn2zBuwkT27zid4tA2srLy2HN70RAPo6O1Ee3ZBszNJdGeTWJOrgHt2WTFK1uKXc0W8jpd\nddVVuPfee7F06VL312699VbE4xMvPwQdlOn0gwAAdz38Kvb3a1jcnsKi9jQWtqfQmJj+y2nTKQ47\n9g7gka17MCfXgEVzUlgwhzEImmXbeOCJnYhEQiNJceOMWNqfTjEAgNf3DeC1PQcwr6VxxsQAmF5x\nKBgmtr7SjXQyxhgItHv/EIa0AubmktLP2FdjOsVBL5jYtX8ILZkE0sloRe3cJ5s1DzRZrhaT5dmJ\ncRCPMRCPMZAD4yAeYyCHmR6HyZJluYsmiYiIiIgEYrJMRERERFQGk2UiIiIiojKYLBMRERERlcFk\nmYiIiIioDCbLRERERERlMFkmIiIiIiqDyTIRERERURlMlomIiIiIymCyTERERERUBpNlIiIiIqIy\nmCwTEREREZXBZJmIiIiIqAwmy0REREREZTBZJiIiIiIqg8kyEREREVEZTJaJiIiIiMpgskxERERE\nVAaTZSIiIiKiMpgsExERERGVwWSZiIiIiKgMJstERERERGUwWSYiIiIiKoPJMhERERFRGUyWiYiI\niIjKYLJMRERERFQGk2UiIiIiojKYLBMRERERlcFkmYiIiIioDCbLRERERERlRIL8MMuysH79erz8\n8suIRqO4+uqrsWjRoiAvgYiIiIioYoHOLD/wwAMoFArYuHEjPv/5z+Paa68N8uOJiIiIiKoSaLL8\n1FNP4eSTTwYAHHvssXj22WeD/HgiIiIioqoEmiwPDg4ilUq5/3c4HIZlWUFeAhERERFRxQKtWU6l\nUhgaGnL/b8uyEAqVz9fb2tJBXJbwz6TxGAfxGAPxGAM5MA7iMQZymK1xCHRmeeXKlXj44YcBAM88\n8wwOP/zwID+eiIiIiKgqim3bdlAfZts21q9fj5deegkAsGHDBixdujSojyciIiIiqkqgyTIRERER\n0XTCpiRERERERGUwWSYiIiIiKoPJMhERERFRGbMuWd60aRM2bNgg+jJmPcZBPMZADoyDeIyBeIyB\nHBiHiQV6zrJIO3fuxFVXXYXW1lasW7dO9OXMWoyDeIyBHBgH8RgD8RgDOTAOk5s1M8ubN2/GwoUL\ncfXVV+Ppp5/G3Xffjd7eXtGXNeswDuIxBnJgHMRjDMRjDOTAOEwuvH79+vWiL8Jrtm1DURQ8/vjj\n6Ovrw5w5c5BOp/Htb38bjz32GLLZLLZu3YotW7agtbUVc+bMEX3JMxLjIB5jIAfGQTzGQDzGQA6M\nQ/VmZLKsKAo0TcOXv/xlxONxLF++HO3t7ejp6cGiRYvwsY99DCeeeCIefvhhdHR0YPHixaIveUZi\nHMRjDOTAOIjHGIjHGMiBcajejK1Z/vnPf47Ozk7s2rULTz/9NE4++WT827/9GxRFgWEYSKfTSCaT\n6OvrE32pMxrjIB5jIAfGQTzGQDzGQA6MQ3VmxMy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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "airmass = pvlib.atmosphere.relativeairmass(solpos['apparent_zenith'])\n", + "airmass = atmosphere.relativeairmass(solpos['apparent_zenith'])\n", "\n", "#airmass.plot()\n", "#plt.ylabel('Airmass')" @@ -609,34 +530,13 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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2ERFRd9h1hKhHjGYM9CU0qKHWHvawWlt9s8UfERFRZ4xSBSFFnvP+im4w0CYSzLJsjLXR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\nYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "poa_sky_diffuse = pvlib.irradiance.haydavies(surface_tilt, surface_azimuth,\n", + "poa_sky_diffuse = irradiance.haydavies(surface_tilt, surface_azimuth,\n", " forecast_data['dhi'], forecast_data['dni'], dni_extra,\n", " solpos['apparent_zenith'], solpos['azimuth'])\n", "#poa_sky_diffuse.plot()\n", @@ -654,34 +554,13 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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/Vtzwo4AZYPbfb4qKhnxm97WxY/D8j//4j0in0zhy5Ag+//nPY//+/bj11lt9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\nPJHgWRAEQRAEQRDOk/8HY96eEvyTk/0AAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "poa_ground_diffuse = pvlib.irradiance.grounddiffuse(surface_tilt, ghi, albedo=albedo)\n", + "poa_ground_diffuse = irradiance.grounddiffuse(surface_tilt, ghi, albedo=albedo)\n", "\n", "#poa_ground_diffuse.plot()\n", "#plt.ylabel('Irradiance ($W/m^{-2}$)')" @@ -698,34 +577,13 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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BEE0W5cxYqLspQNMTbiQJ4mmxD/3SaVnT2RjheSRENLBQrLJQrDLTpZHC0gM2JqKgfRNt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4lm15VyYnDyySdj3bp10Ol0CIfDGBoawvTp05Vqel0pJw5Lly7F1VdfjUKhgL6+PvT395duSiGV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\nJkqiCSGEEEIIKdP/B42zPWG03x4dAAAAAElFTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth, solpos['apparent_zenith'], solpos['azimuth'])\n", + "aoi = irradiance.aoi(surface_tilt, surface_azimuth, solpos['apparent_zenith'], solpos['azimuth'])\n", "\n", "#aoi.plot()\n", "#plt.ylabel('Angle of incidence (deg)')" @@ -749,7 +607,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": { "collapsed": false }, @@ -757,18 +615,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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tJ598koULFwKWDMyKFSt49NFH+d3vfoeqqowYMYJZs2ahKArz589n3rx5+P1+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\nwm1LvkWmXaaAaUVRcgFVGRUsT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ucdUY8TjRQwfzPKrComsRVFf6yRcAVbpRFTQJtIchXQtj8/rwTKgleuAAiUAg\n30MqKP0FF32RQDu/Wv/2Fi3/93XC8gV1UPT3dEdRFHzTZ6BrGuEdnw/l0ApK52uSu7oaAE3qtIdU\npp2owCw3sc6hKDx5C7TXrl3LFVdcwZVXXslFF13E9OnT+fjjj7n00ku5/PLLeeCBB1LvXbNmDQsX\nLuTiiy/mrbfeyteQh4weDqN6PLhrJwIQrt+Z5xEVlkEpHZFAOy8SbceAruVXInN6JAL0/VnwTUuW\nj0j3kZxJXZM8HlzjzEA7slcC7aGUTaCtut0Y8bg89SlQeQu0L7jgAlasWMFzzz3H5MmTuffee/nF\nL37B4sWLWblyJbqu88Ybb9DU1MSKFStYvXo1v/71r3nkkUeIxWL5GnbOWR9G1e3GM3ESAJrUaQ+p\n7AJtaeWUT4n2dgDJHg2SjglgvS877TnlSyguN8EtskpkrlhfHFW3B1fVWFAU6TwyhAzDSLZ8zTzQ\nBrkvFKq8l4589NFH1NXVsWjRIrZt28bs2bMBmD9/PuvXr2fr1q3MmjULu91OUVERNTU1bN++Pc+j\nzp2OIM+De0ItKIpMiBxinc9BuqwaPrmg5kci2WZOMtqDQ9c0sNlQ7L1PAFMdDnxTphA7cpiY1A3n\nhK5poCgoLheqy4XzpJOI7N2Doev5HlpBMOIxSCQGIdCW61Ihynug/eSTT3LzzTd3+7nP5yMQCBAM\nBvH7/amfe71e2pNZqxNRKnPhcWPzenGOORlt9y555DSEsm3vB8gM8zyJtyUz2hJoDwpd01BdbhRF\n6fN9qfIRWSUyJ3QtjOruOA+usdXomkbsyOE8j6wwZPOU09xOnnQWMns+f3l7ezu7d+/mjDPOAEBV\nO+L+YDBIcXExRUVFBDpNBrR+3p+yMi92u23wB51jwUAzAL6yEior/RybcjqN/3cfnkAz/kkTB/33\nVVb6+39TgdFUM0tUNqqMsnSPz8gyGgGv3RjwsZVzMDgMXWdHwAy03Uoi7eMq56G7hlgEh8/T77Ep\nWXA2jcufIfrJR1Re/oOMf5+cg541RCPYvR3nITr5FNrfexdX62Eqpkwa1N8l56A7LREEwFvqz+j4\nBEcUcwwodqsUy33hC2OwzkFeA+3333+fOXPmpP582mmn8f7773PGGWewbt065syZw9SpU3n00UeJ\nRqNEIhHq6+uZNKn/C0tLSyiXQ8+Z8EEz0I4YKkeOtKNUmRNfDm7cglY6alB/V2WlnyNHTtynA5lq\nbzYn1LXMrviXAAAgAElEQVRHDOJpHp9A1KxRbWtqxT6AbeUcDJ5EIJBq6xc4eiyt4yrnoWexYAh7\nSekAjo2Ke/wE2j79jEO7DmIrKkr7d8k56F08GMbm7zg+8RGjATj80WcYX5o2aL9HzkHPIgfM+3IU\nW0bHR9PNJOLRQ0eJVMh94Ysg3XPQV1Ce10B7165djB07NvXnO++8k/vuu49YLEZtbS3nnHMOiqJw\nxRVXcOmll2IYBosXL8bpdOZx1LmVSJWOmI+a3MkJkeG6HZR941t5G1chka4jX0yJQMdF0eqFLrKj\naxrqqIF9DnzTpqPV7yS47WOKz5rT/wZiwHQtjGNkZerPrnHjAIjs3ZOvIRUUXTO77yiZ9tGW0pGC\nltdA+5prruny55qaGlasWNHtfYsWLWLRokVDNay86uiXan4wHRWV2IqLCdftwDCMfmslRfb6W3a6\nLxJo50+8rS31/4nwF/OJ1nCix9KbAFY0fQbNv3+Z4JbNEmgPIj0WMztRdVqd0+b14aioJNLQIPeF\nIaBHMl9bofN2cl8oTHmfDCm6Oj6bqigKnomTSLS2Ej/anM+hFYysuo5I5iJvrI4jIMd/MKT7hdNZ\nNRb7iBEEP94qK3MOotR58HQ9D67qahKBduItLfkYVkHJfjKkBNqFTALtYUY/rnQE6Fi4pk5WuxsK\ng1I6EpEL6lBLtHUuHZGuI9lK93OgKAq+aTPQQyFZmXMQJXpZqdY1Nlk+skf6aefa4AXacl0qRBJo\nDzM9faA9neq0Re7pkTCK3Y5iT7+ySjIX+dOlRltuaFnLJLiw2vwFt2zKyZgKkdHLEzZ3dQ0AWsPu\nIR5R4Un3s2AYBvsDB3lzzzp+++mLhGyJLvsRhSWvNdqiu57KFlzjqlHsdjTJEg0JPaxlVDYCoDgc\noKpyQc2DVI22okhGexBkUkLlPe00FKeT4JYtVC66OFdDKyjHT5C3yITIoTOQz0Jr5BifHd1h/tey\ng/ZoR1viccVORiFPOguVBNrDTOcFayyqw4F7/ATCdTuSCxdkFgSKgdG1zJfaVRQF1e2WQDsPrBpt\ne1lZail2kblMFm5SHU68p08muHkT0cZGnKMGtyVpIdJ7KR2xl5RiKymVpdiHQE8ZbS2usaO1PhVc\nHwp1LB5U7PRzxqgv43f6+MvevxOWjHZBk0B7mDm+64jFXTuR8I7P0Xbtwnva6fkYWsHQtTD28oqM\ntzcDbcmoDrVEMqPtqKgkfvQoRjyeUfmPMFlBgeJypbWdb9p0gps3Edy6Gec3v52LoRWUvrKp7upq\nglu3EG9vw+7vfyE3kRnrHERt8NauN/j06OfsatuDbpiLmzlVB6eXf4nTyiZx6ohTOMk3CkVRaGjb\nmwy09S77EYVF7kLDTG+1YJ6Jk2jBrNOWQDt3DMPIKKMdTcTY2rSNkZ4KVLeb+LFjORqh6E2ivR3V\n50stlqJrWkYLpwhT6lrkcrOteTtfKqvFrvZ/y/Ceal6fpHZ4cFg94Xu6JrnGjSO4dQuRPXuwT54y\n1EMrGNbTnQ2tH/Pq0fUoKIwrrkoG1pMYX1Ld42fDbTO/pAZVM6NtSKBdkCTQHmb0cBhUFeW4RXnc\ntbWATIjMNSMaBcMYcKDdorWybv+7vHPgPYKxEFVFY7jM7UZvbMzxSMXxEu3t2P3FHS0Ww2EJtLNg\nBdqHEq38cssrnF/7Xb5ZvaDf7WxFPnN7qZMfFKmnnJ7uGW3XuBrA7Dzik0A7Z6zPQpsSBeDHs25i\nfMm4frdz281zFiKKYrdLRrtASaA9zJjZVE+3BQjs/mIco0aj1e/E0HUUVRrG5MJAJr0YhkFd6y7+\ntu8dtjRtQzd0fA4vTpuT9mjAXFgikUCPxVAdjqEaekEzEgkSwQDOMWNSAUkiHEKOfuasAC+gxiEB\n21vqBhRod/6iI7LXV8cLd3JCpCZ12jllZaJDycx0sXNgX+A9dvOcaXENRebuFCwJtIcZPRzutjCB\nxVM7kbb1bxM9sB9X1dge3yOy09dNLZqIsbFxM2/te5v9gYMAVBWNYUHV2cwaNYOff/ALGsNNqO4S\nIHlxlkB7SCQCATAMbH5/6vMjN7XsWMdPsxsQg/pju0noCWyqrc/tFFU15ynI6pyDIjVBvocv//by\nClSvj8heCbRzSdc0FLudkGFmtK0Auj8O1Y6qqGhxTSbJFzAJtIcZXdOwl5X1+Jpn4iTa1r9NuG6H\nBNo50tMM/6NaC3/f/9+p8hBVUZk5choLqs6mtqQm9fTBbXcTTURR3K7kvjRsfv/Q/yUKkNVxxOYv\nRvV4AcmoZsuqS9WSE7kiiSj7AgeoLu7/2qN6vKm2dCI7qS//PSRgFEXBNW4c4c8+JREOY+uhvERk\nT9fMjLQWN8+FyzawCcKKouCxuwnHNVSXW1Z3LlASaA8j5kS8MKr7pB5fd09MrhC5s47SBV8fyqEV\njM4Z7V3HGnhjzzq2dioP+Vb1PzD/5LmUuUu7betJ1uPpTkeXfYncs9r52fz+jtIF6fySlVRG22ak\nfrajtX6AgbaH+LHWnI2tkPTW3s/irq4m/NmnRPbuwXvKl4ZyaAXDmiAfTmg4bc5+n+p05ra50RKR\nVEbbMIxupaHixCaB9jBiRKOg6z1OegFwjj4J1etDkwmROWMFFwmHjZ9/uAzd0LuUhzhtvZeCuO1m\nliPhtHXZl8i9uNVDu7i4o3QkJIF2Nqx/v0E1nvpZXWs93xj3tX63VT0e9EMHJagYBP3NG3GNqwbM\nCZESaOeGroWxjygnHNfwDDCbbfHY3RwJN6G6S8EwMKLRtFtmii82CbSHkf6WeVVUFU9tLcGPthI/\n1oq9pHtWVWTHOgcRO+iGzhmjZvLD0y8eULBg1e0lHObHSo9IoDdUEm1WRrs41bFHMtrZMY4LtN02\nF3Wtu9ENHVXpezK26vGArktQMQh660RlcXcKtMXg69zyVYtr+By+tLb32N1EElEUd8fcEVU+EwVF\nWlcMI70tVtOZe+IkAMJ1shx7LliBdsxpfjSKXf4BZ+Q8NvNCGk9uKxntodNRo+3HJjXag8KaABYm\nBsBpI04hHA9zIHCo322tWmGZEJk9K8jr7TrkGDUaxemUziM5YsRiqZavWlxLPbkcKOv9hksSAIVK\nAu1hJLUwQR8TWjy1Zp22tlMC7VywLoJRu3lT89gGPrnIncxoW9tKoD10uk6GtDJHckPLhtVqNBzX\nUBWV08tPBaCudVe/21oTUhNSvpM1c95O79chRVVxjR1H9OAB9Fh0CEdWGFLXcZeLuJFIJVQGym2z\n5u7Yu+5PFAwJtIeR/ia9ALjHTwBVlYVrciS11K4jGWgPsI0TdAq0HRJoD7V4cjKkWaNtZVPl+GdD\nj3Q8LnfbXJxSNgEwJ0T2J3UO5MtO1vRw/yvVusZVg64T3bdviEZVOKzruJEMlNO5J3R+v8zdKVwS\naA8j/dVoA6guF65x1WgNu9Gjkr0YbF16B5PeRdV6b8TWdV8i9xJtbaCqqF5vKvuXkLKFrOiahuJy\nEY5ruO1uyt0jKHWVUNdaj2EYfW7b8WVHAu1sGIZhfuHpp22fu9qs09akTnvQWV8WE8luUu40A22r\ndCTukEC7UEmgPYykFibo56LqmTgREgkiDbuHYFSFxbqoWi3N0rmopgLtZJAuF9Shk2hvx+b3m4ul\npLKpcvwz1WUCWELDYzdrhCeWjicQC9IYOtLn9qrUaA8KIxaDRGJgGW1kQmQupDpRJTPSmWa0Yw6Z\nu1OoJNAeRgaS0Qbw1FoTIqV8ZLClltpNLtKRVulIsnYvbDe3lQvq0Em0t2ErMhcHUlQVxeWSbGoW\njFjMbDXqdqPFI6l/2xNLB1Y+kpqQKjXaWelYFbKfQHvMyWCzyYTIHOho+WqGS+4M2vsBxGTuTsGS\nQHsYGUjXEQB3bcfCNWJwWRfBsJoASGuGuXVBDalWoC1BxlDQYzH0cBh7cXHqZ6rbI8c/C6m6VJcT\nAwNP8nMwqXQ8YPbT7ouV0Zbynex0rArZ9z1BsdtxnVxFdN9ejHi8z/eK9BipeTtmuJRuRtv6khpJ\nLsEg16XCI4H2MGJlL/pbRtcxYgT2EeVodXX91kqK9OiaBopCUDFbmqXTdSQVaNviHfsSOdexKmSn\nQNvjlmxqFjomgHWtSx3lHUmRw0dd664+rz1Soz04BjJB3uIaV40RjxM9dDDXwyooqQnyyYx0ujXa\n1n3BKkeU+0LhkUB7GBlo6QiAZ+IkEoF2Yo2NuR5WQbEWEwjrESDdriNm1i+gSKA9lFKt/Yr9qZ9J\nRjs7HRPAzE4LVnBh1mlPoDVyjGbtaK/bq15vl/2IzHReFTIUCxOO9348rQmRkT17hmRshUKPWIG2\n+ef0J0N2DbQNuS8UHAm0h5GBlo4AuCcmy0ekTntQ6Zo5wz8cNy+G6QTaLpsLBYUwURS7XQLtIZIK\ntIs6Am2bx4sRi8lj9AxZ/3bj1gSwTr2DJybLR3b00U/buobJU4XsdJ4g//imX7Fsy/Je32tNiNT2\n7B6CkRWOVCcqW/qdqDq/35r3YwXuonBIoD2MDGTBGovHWiFypwTag0nXwqguN1o8jEN1YFNtA95W\nVVRcNrMdmur2SOZiiKRKR4q7lo6APFXIVCrQ7qEudVJyQmRdS+912jYpHRkUnUtHGkOH2d22h4Se\n6PG9rqqxoCiS0R5kx7d8dae9YI0VaCe67E8UDgm0h5G06vFOrkJxudBkKfZBpWsaittNOK6lnbkA\ns3xEi5tt0SRzMTTibWZG2+7vOhkSZDJepqwviTF7stNCp8/CmKLReOyePidEymTIwdF5UmpMj5Mw\nEhwJN/f4XtXlwjn6JCJ7GjB0fSiHeULTs+hEZb7fLCkMqlJSWKjyGmg/+eSTXHzxxSxcuJCXXnqJ\nPXv2cOmll3L55ZfzwAMPpN63Zs0aFi5cyMUXX8xbb72VvwHnmK5pKHY7it3e73sVmw3PhFqiBw+Q\nCASGYHQnPiORwIjFULMItD12sx2a4nbLBXWI9JzRloxqNjpWSDX/3PmzoCoqE0traNKO0qK19ri9\nYrejOJ1y/LNkPeW0niwAHAod7vX9rnHV6JpG7Ejffc7FwHV0ojID5XQ6UZnvNz87QTXWZX+icOQt\n0N6wYQObNm1i1apVrFixgoMHD/Jv//ZvLF68mJUrV6LrOm+88QZNTU2sWLGC1atX8+tf/5pHHnmE\nWCyWr2HnlB4OD6hsxJJq81cvWe3B0HkyqpZcDS9dHrubcCKZ0dY06QozBBLJjHbXriOyaE02rOMW\nsSaAHdc72OqnXddXnbZHJqRmS4+Yxy/aOdAO9hVojwNk4ZrBZD2ZDCS7SXnsA79Hg1VS6CSciJj9\n/eWaVHDyFmi//fbbnHLKKdx4443ccMMNLFiwgE8++YTZs2cDMH/+fNavX8/WrVuZNWsWdrudoqIi\nampq2L59e76GnVMJLYzq9hBLxGho29vv+606bSkfGRypC6DLRdxIdJkANlBumxvd0MHlBMPAiEYH\neZTieKnJkP5OXUcko50VK7iI9DIBLFWn3Vf5iNsjkyGzZGW0rR7MAIeCvXeaclfXALIU+2Cy7gtB\nNY6qqDhVRz9bdOe2uTtKCiXQLjj91yjkSEtLCwcOHOBXv/oVe/fu5YYbbkDvVFfm8/kIBAIEg0H8\nnW6gXq+X9uSj4hONoWmo/mLePvAeL+74Iz+edSMTSmp6fb97Qi0oinQeGSTWBVBPtjTLtHQEOvoP\nm5Mr03vUKNITb29Hsdu7zG1Idb2QjGpGUo/LbQbo4D4ui1dVNAanzdl35xGPh3hzU07HeaKzvihG\nOs3J7rN0ZKxktAebrmkoDgdhPYrb5kJRlLT34bG7aY8FzEBbvvwXnLwF2qWlpdTW1mK32xk/fjwu\nl4vGTj2hg8EgxcXFFBUVEehUg2z9vD9lZV7s9oF3jMg3Q9f5XNNwFRcRUsy/b2P8IGdVTu1jKz8H\nx41F272L8jIP6gBqu49XWenv/00Fov2o+YDHWWL2AC4r8qd9fMqK/HAYHH4PEaDUa8PTzz7kHGSn\nIRTAUVrKyJGdrgsjyzgMeG36gI+vnIcObYrZISHhUSAIJ48cQWVR1+NzWmUtWw59itNvUOLufk1u\nLPET2R2nvNSN6hhYFlDOQVfNhlmuYC9zwj7zZ42hw5RX+FCVHh5IV/rZN2oksX17qKgoyigolHPQ\n1d54FLvXQ8SI4HN6Mjo+fo+PI1ozTp+PcGvrgPYh5yH/Busc5C3QnjVrFitWrOCqq66isbGRcDjM\nnDlz2LBhA2eeeSbr1q1jzpw5TJ06lUcffZRoNEokEqG+vp5Jkyb1u/+Wli/WbPdE8ltuwubgaLLm\n9NOD9cwt7zt776iZQKhhD/s/3IZ7/IS0fmdlpZ8jR07MpwOZCB40Z/MHEsn2WXFb+scnbn65CyVr\ns5sONON29P5hlXOQHcMwiLYew3nSmC7HMZCcxtF2pBX7AI6vnIeugi3msWhJmAs3hdoSHAl3PT7j\nvNVs4VP+e+dHfHnktG77SNidADTuOYx9AMkROQfdhY+Zx+Nw0Lyf2RQb0USMz/fupdwzosdtHFXj\nCHywkYOf78Exouf39EbOQXexYAjF4SIUDTPCXZbR8bEbDhJ6grjdjh6JcLjxGIrae+WunIf8S/cc\n9BWU5y3QXrBgARs3buT73/8+hmHwk5/8hJNPPpl7772XWCxGbW0t55xzDoqicMUVV3DppZdiGAaL\nFy/G6XTma9g503kFMGv1r32BA/1u55k4iWN/e4vwzrq0A23RlVVmEHMkF+nIpL1fsq477rChIpPx\ncs2IRDCi0S712WAuWANSo50pq0bbaknW03wFa+GautZdPQbaXerkBxBoi+50TQObjRDmXI8q/xga\n2vZyMNjYa6DtGmsG2pE9DWkH2qI7XdOwl5ejxSNp99C2uFMlhc7UPm3J1VPFiS+jQLu9vZ09e/ag\nqipVVVVdaqjTcdttt3X72YoVK7r9bNGiRSxatCij3/FF0bECmJtQMtA+HGoyP9x9tBNy1yYXrqnb\nQdk3vpX7gZ7ArKA45jAft6Y7u9zcxrygxpwqLiTQzjWrtV/nHtrQecEaCbQzYf27DSixXhduqi4e\ni0O19zohUpUvO1nTNbMTVTj5ZGFCcTUNbXs5FDrMFE7rcRtrQmRkTwNFM2YO1VBPSIZhmDXaLhcG\n0VRP7HRZX1QNlzV3RwLtQpJWoP23v/2NX//619TV1TF69GjsdjsHDx6ktraWq6++mq997Wu5GucJ\nr/Py6+G42ZvWwGB/4CC1pTW9bueorMRWXEy4bgeGYWRUkydM3VqaZTEZMmZXJNAeAnGr40hx1y/7\nHQumSJCXCV3TUJxOwnqk1yc7DtVOTfE46lp3EYqF8Dq6Bg7W5FRdFq3JmB7WUn39AcaXjOOv+wbW\n4k86j2TPiEbBMNCTAXIm9wRzOzNATyQn2st9obAMONC+6667qKio4P777+9WI71jxw5efPFFXnnl\nFR5++OFBH2Qh6NzD2SodAdjbvr/PQFtRFDy1kwhs+oD40WYc5RW5HuoJKxVo99LSbCCsC2rEDkXI\nBTXXeuqhDZ26jkignRGzW47ZE76vz8HE0gnsaK1n57HdTK04vctrVvmOfNnJnK6FsZdXpO4J4/xj\nURW1z0DbXlKKraRUOo8MAisBZnWRyjTQtj5DCYcNBXnSVmgGHGjfeuutjBo1qsfXJk2axJIlSzh0\n6NCgDazQdJSOeAjHNRyqnZgeZ29gf7/buidOJLDpA8J1dRJoZ8EKijW7AfGe61L7Y11Qray4XFBz\nq6OH9vGlI7JgTTZ0TUst3DTCVdbr+yaVTuB1YEdLfbdAW/VaX3Yko50Jq2yhc/LF7/RR6angUKix\nzyeY7nHjCH60lUR7e7f5C2LgrOuHlYnO5J4AHWWIMYeKE7kuFZoBL1jTW5Dd2ejRo7MaTCGzAjLF\n7SIc16gqGoNDdbCvvf8Jkc6TxgBIz9osWRe/kN3s555ZRtvcJpzch1xQcyu1/PpxwYSiquYqbJJN\nzYihaShuFzE93ufnYHzJOGyKrccVImXRoOxYZQuq20MorqGg4LK5GO0bSTiu0RbtvSOCq7oakPKR\nbFnX73hygnzGpSPJlVWt+T9yXygs/QbawWCQP/3pT3z44YcA7N27l/feey/nAys0Hd+cHRgY+Bw+\nTi46iQPBQ8T0eJ/b2nw+c9uQZI6yYX3ZCdnMIDmTi6o1Kz2c3IchF9SciluTIZNdLRqDh3l5x6sk\n9IS5MqEEeWkzDAM9EjFXN4U+J2M7bU6qi6vYG9iPFu/6b10mQ2bHOm42j/lkwWN3oygKJ3lHAv3U\naY81A20pH8mOHjEnocaz6ETVebtIMtCW+0Jh6TfQfvLJJ3G73dTV1fHss89y8skn86tf/WooxlZQ\nrItq544XVf4x6IbOwWDfJTmpQDsY6PN9om+pjLZq9tHOZmXIkJrMaEfkgppLx9dov33gPd7cu476\nYw2oHlmFLRNGJGJOAHNagXbfn4OJpRPQDZ36Y12DOqmTz07HU06zE5VVfjDKZwbaB0N9LcUugfZg\n6Gj5at6Xrcx0uqzPUNRudNmvKAz9BtpTpkxh0qRJ/OAHP+CSSy7hL3/5C5p8Gxt0VpAXdZinxOtw\nM67oZMCcENkX1WsG2rpktLNiZRmCirnaSTalI6Fk/2F5RJhbHTXaZulIIBYEIBQPYfN45YaWAevL\noTHAutTO/bQ7s3mtzi9yXcqEde2wJddW8CavLSf5zDLOxr4mRJZXoHp9UjqSpdR9OTnnJtuMtmaz\nAm25LxSSfgPtCRMm8NprrwHgdrv5xje+wfe///2cD6zQWFkfLfWBNjPaQL912lY/zkQwmLsBFgBd\n01DsdkJGFIdqx66m32be2i4ggfaQSLS3objcqMnsazBmBnWhWBjV7cGIxTDifZdeia46ytgGVpc6\noaQGBYUdx/XTlhrt7KSOm8tFJBFNnYdR3koUFA4Ge89oK4qCq6qKWGMjeiw2FMM9IR3f8jXTQDs1\nd0cC7YLUbyRRW1tLbW0tAM3NzZSXl3PhhRfmfGCFJtXxwtYxEW+MbzSqovab0VbsdnPil2S0s2LO\n8PcQToQznvQCZgYwoEZT+xS5E29vx96ph3Yq0I6HOy1ao2ErKsrL+L6Ijp8A1l9w4bG7GZtcsTCa\niOG0ma3QpEY7O6kvPMkezt5k6YjT5mSEu4xDod4z2gC24hJzP6EgaklpDkd64jKOC7QznwyZfNJp\nk0nyhWjAXUcAPvjgg1yNo+BZj7jDyRour92Dw+bgJN8o9gcOoht6n9vbvD4SIcloZ6OjlVbfvYP7\n47G7CSci5pcfuaDmjGEYyfZlHa39gsnSkXA8nKoRltKF9HSskGreHvqaDGmZWDqBhJFgd1tHqYLi\ncIDNJoF2hqx7QtxpnofOK9WO9o2kPRpIfbHsScfcHbkvZMr6LIRtmXei6rxdyCZPOgtRWoG2YRi5\nGkfBs25GVm2vdVEdW3QyUT3G4dCRPrdXfT50uaBmxVzuODnD35b+8usWt91s0ai63XJBzSE9FIJE\nAltxR6Ad6JLRltKFTHTMF+mYmN2fiaUTANjRqU5bURRUj3R+yVTHBHkr0O4I8kb7+u88kgq0AzJJ\nPlPHB9ruDPtoO1Q7NsVG0CoplEnyBSWtQFuW984dXdNQXC7CutlOyLqoWnXae/opH7F5vejhMIbe\nd+Zb9MxaHEJxufvtHdwft91DTI+hutwyGS+Hjp8ImdATqYU9QrGwLFqToY4JYMlAewDBhbV6bbcJ\nkR6PPFHIULfz0DnQ9poTIg/1UaetJgNtScBkzjoHVoA8kKc7PVEUBbfdRSA50V6uSYVFMtrDRKo+\nONmL1qrHG+s3O4/0NyEydVGVOu2MWItDGK7sltqFTjdEl1MuqDlkLVZjT5aOhOIdX2oko5254yeA\nDSS4KHL4GOMbza5jDcQ79f1XPV45/hlKnQfzkoTH0fFk4SQro91HnbY1L0FKRzJnZZ4DajzjCfIW\nj81NwIiAqsp9ocCkFWjPmDEjV+MoeHrYLFuwggXrcW1V0UlA/y3+bF6px8uGlXnWneZdLasa7WQG\n0HA5MaJRecqQI/G2rhntzvWqVtcRkCXA02V9FrQ061Inlk4gpsfY074v9TPV48GIRDASicEf6Aku\nYXWiSnaqOL5GG+iz84jNZwXaUjqSqVRG2xbLKvkC5udI0yNSUliA0gq0e1qGfdeu7kvvivTpka4Z\nbY/D/FC77W5GeirYGzjQ5xMFq8WfLhMiM2Jd+HSrd3BWpSOuLvuSi2pupEpHkjXaVg9tSE6GtLqO\nhOX4pyPVASk5MXugAcaksmSddktHmz8p38mc1fEibO/+hcdj91Di9A+oRltKRzJn/bttJ5rVPQHM\nz1EkEU0G2vKUp5CkFWhb3n//fVasWMFHH31EUVERr7766mCPq6AY8ThG1PwAhmPJjHanusix/pMJ\nx8M0ay297kOVZdizcnxLs8EoHdGTZSgSZOSGVTpidR3pktGOh7FZ7eXkppaW1MJNyRVSBzoBrLak\n+8I1qXMgTxXSltCsCfJmoO097po02jeKlkgrWjzS4/aqrBicNV3TUJxOwno044mQltQ9RbpRFZyM\nAu133nmHyspK/vjHP3LzzTfz97//fbDHVVCsD53qMVcAc9mc2FRb6vWOhWt6Lx+RZdizkwq0nd1n\n+KfLuqBaQbtcVHPDKh2x91Q6Eg/LEuAZsupSQ2ocBQWXzTmg7UpcfkZ5K6k/tpuEbgbpHU8V5Byk\ny/rCE7KZx/L47i9W+UhjL3XaHaUjktHOlK5pqC43MT2WdUZb5u4Urowq+6dMmcI3vvENzjnnHAB0\nqUHNinVjU91uQvGj3S6o1oTIvYEDzBg5tcd9pJZhD0rmKBMdLc2SgXYW2Qtr27hDxY4E2rnSPaNt\nBhQKCnE9TsJlXt4SEuSlxfr3GlDjuO3utLpNTSwdzzsHNrAvcIDq4rGpRWvkHKQvEQ6j2O0EDasT\n1QnB1cYAACAASURBVHGBdqrzyGGqi8d2215KR7Knaxq4zS+a2dZoWxlx3emARAI9FkN1OLIeoxj+\nMspox2IxHn/8cbZv327uRM1oNyLJyvaYNdrhbt+cxxYlA+0+M9rJG5rUaGfEKi/oqZVWuqwLstX/\n1pCeqTmRqtFOdlewMtqlLnNFPKtrhpSOpCcVaCvp16Va/bSt8pFUjbaUtKXN7Ovfad5Ot9KRvjuP\nmCsGu6WPdhZ0TQOXGWhnk3yB7iWFhiRgCkZGEfLWrVupqqpi5cqVXHTRRdxxxx2DPa6CYk3W6liV\nsGvmosjpo8xV2mfpSCqjLYF2RjpamqU3Aawn1gXVWvBDAr3cSLS3ofp8KHYzorYy2pXeCgAi1vGX\nbGpaUhPA1BhuW3p9gyelFq4xJ0TKMuyZ62j5ah6748/FSb6OjHZvbD6flI5kyNB1jIiG4bQy2pn1\n0LZY2yekpLDgZFQ6MnPmTL71rW+xcOFCANqStZIiM3ok2VrO5cDA6DbpBcw67Y+aPuFYpJ0Sl7/b\n6x3t/SRzlInjOy0MRka7I6MqF9RcSLS1p3poQ0dGu9JTzuctdYSS7enk+KfHWjxLS0TS/hyUuUsp\nd5exs3UXuqFjS3UdkUA7XXpYw+4vJhzXcNtcXebtgNm73Gf39rloja2oiGhj76+L3hnRKDA4nag6\nbx932rAh16VCklFGu7W1lWeeeYb9+80Ma3GnJZBF+qyMtjV5rqclj8cWJSdEBnrOaqfq8SSjnZFU\noG0bvIy2FbTLBXXwGbpOIhhI9dAGc/l1BYUK9wgAwroZMEo2NT16xDxuBkZGwcXE0gmE4mEOBhtl\n0aAMWdlUa4J8T/cERVEY7RvJkXAzsU6LBHVm8/nMrGy859dF76zrdiIZaGfdRzs1d8d60in3hUKR\nUaDd2NiI2+3moYce4vvf/z4PPvjgYI+roFg3oViq40UPgba/7zptNdlHWx4TZsa66IVUa4b/IATa\nklHNmUQgAIaR6qENZumI1+HB5zA/C9aiNRLkpUfXNBS3+Zg7k+BiYqfyESvQlraj6dEj5gRIc4K8\n1uv1aLRvJAYGh0NHeny9o8Wf3BfS1dHyNfsJ8tDxWYra1eT+5bpUKDIqHfna175GKBTi0ksvBeDA\ngb6XBxd965iIp0Kse79U6Bxo93ysFZvNbIQvGe2MWOcgaEuAkd1F1aqltPrfSqA9+FITIY8rHfE5\nvKmlqkPJRWukE096dE1D8RcBma2GN6GkGoC9bfuZW1Jj7lO+7KTFOl6K240W1/D4ui8WB2YvbTDr\ntE9OriLcWee2r/aSkhyN9sRkXbetSe1Zdx2RksKCNaBAe9u2baxfv57TTz+duXPnMm3atC6vjxkz\nJieDKxQdreUMiJEKFDordZVQ5PD1OyFSarQzY80AD9ji2BM2HLbM2y65bC4UFII283GtXFAHX+K4\n5dcNwyAYD1HhKcdr7wi0bR4v8ebmvI3zi8YsWYiAywHEMvrCac0hCcaDUjqSIeuaYbicyRKe7vcE\ngNHeZOeRXuq0rV7a0uIvfVbyJWYfnEDb0y3Qls9EoRhQoD158mQmT57MZ599xnPPPYeu60ybNo3Z\ns2dn9csvvPBCipKtuaqqqrj++uu56667UFWVSZMmsXTpUgDWrFnD6tWrcTgcXH/99SxYsCCr3zvc\nWDchLXk2enpMqCgKVUVj+KxlB6FYGG8PwbjN5yV2pOdHiKJvibDV0iyzLF5niqLgtrsJJiTQzpV4\ne9fFarSEhm7oFDm9qUA7nFy0xojFMOLxVHcS0TurZCGbulS3zY2qqARjYWxemQyZCet4dUzE6yXQ\n7qfFn5SOZK4jAWb+Oesl2JNfWsNSUlhw0rrznHrqqZx66qkAbNmyhWeffRZFUTjjjDOYPHlyWr84\nmpzR+9xzz6V+dsMNN7B48WJmz57N0qVLeeONN5gxYwYrVqxg7dq1aJrGJZdcwtlnn43jBGr0bi21\nG051vOj5ojrWfzKftexgX+AAp5TVdntd9frQtb0SVGTAiGigKARIv9NCTzx2N4FoDJAgIxdSi9Uk\na7QDUfNJjs/uS30JDcXCXVYm7DxxUvQsNQEsNTE7/c+Coih47R5CsRCK0wWKIhntNHWsVNv3eShz\nleKyOXtt8dexOqT00k6XtZCclYFOt9Xl8axzGLab84Ak0C4cGUdj06dPZ/r06RiGwfvvv8+zzz6L\n3W7nK1/5CrW13YPA43322WeEQiGuueYaEokEt956K5988kkqSz5//nzeeecdVFVl1qxZ2O12ioqK\nqKmpYfv27UyZMiXToQ87VtlCODkRz9troG2W6Oxt399joJ2qxwuHurQ9E/3TtbDZxzwRodSdfS2j\n2+aiTQ0m9y0X1MF2fI12MG4ea5/D26V0xFqGPaFJoD0QRvJLoRXgZRpceB0egvEQiqqiut0yGTJN\n1hcTqxNVT/N2wPxSM8o7kgOBgyT0RLcWgKl7gixak7bjO1FlndFO9tEOy9ydgjPgQHvTpk3MnDmz\n288VReHMM8/kzDPPJJFI8OGHHw4o0Ha73VxzzTUsWrSI3bt3c91112EYRup1n89HIBAgGAzi73SD\n9Hq9tCezWSeKVNmCre+OF1X9TIjssgy7BNppMXsHu4npMdy9fNFJh8fu5qARBVWVC2oOJNqOX349\nmdF2eM1lw1HMjLbXfF0yqgOTmgCW5QqpPruX5nALhmGgerxy/NOUmiCfbAXX07wdy0m+Uexp30ez\ndpSR3sour6myDHvGrM+CVeqRbUmhqqi4bE4CqpQUFpoBB9oPPvggTz/9NGVlZb2+x2azccYZZwxo\nfzU1NVRXV6f+v7S0lE8++ST1ejAYpLi4mKKiIgKdvo1bP+9PWZkXu93W7/uGg4OJZECWvJZWjayg\nsofsW7nhw73RxcHwQSoru78eqCilDSh2Gvh7eL0nPe2nEO2KRrAX+YAEpd6irI9LibcI4xjYPG7U\neLTP/ck5SF9TxAysR40fg6PYjxo0b4ajR5QzamQJXoebKBGKRpTQChS7FUr6Oc5yHqD1YLLjq9e8\nNZxUMSKj41LqK2ZX2x6Ky5w4/T4iTU0D2o+cA1MseWdWi10QgZGlpb0em9qRY3nv0AeE7O1UVk7o\n8looPIp9gFPv+xrUmZwDUziZyY66QEGhanQ5qpJRR+QUn9NLOG4m1Jwk5L4wzA3WORhwoP2DH/yA\nzz77jGAwyNe+9rWsa6RfeuklPv/8c5YuXUpjYyOBQICzzz6bDRs2cOaZZ7Ju3TrmzJnD1KlTefTR\nR4lGo0QiEerr65k0aVK/+29p+eI8qoy0B1FdLlqCZpYu3KZzROs5a3+y7yTqjzWw/1AzTpuz634U\n85w0HziCNqJ7q6fjVVb6OXLkxHo6kKl4KIxaUgIkUBP2rI+LqpsfLcPpJBoM9bo/OQeZCTW3gKrS\nEtZRIu0cPGp2FjE0lSNH2v9/9t49TI6rPPd9V127+jIXjWZGsmRbtiTH3tggtmVvs302OJiLHZIH\nOFgbZCwn5EKcJ3AIAoIJJoIDOeYaw/MkeZLskw2xTIjNDk7ghIvjnQQHk8QOJEBiW0aWsazbzOgy\n07e6r3X+WLWqqme6Z7qnq3rk6fX7BzSX7nLX1Kq3vvV+74eCWkDNacBh/GH77Ikz8KY6f87yPHDq\nM+f4/1L+4OLUKeZI75+LRvna9NypWTCjgLBpY3a2CkJIx9+R5yChOsfPw7zHm1MDh3T8bCqMW92e\nPvEcthmtQjvgrVCon57v6rOV5yChfmYBAFClHkzVxJnT/e8KGMTAAuOv21yoyfvCeUyv52A5Ud61\n0H7LW94CAAiCAI888ggsy8LLXvayrg9iMbfccgs+8IEP4NZbb4WiKPj4xz+OsbEx3HXXXfB9H9u3\nb8dNN90EQgj27duHW2+9FYwx7N+/H4ZhrPwGLyCoY0OxLDQDvpW03HbthZUteGbhJzheP4VLRi9q\n+Z4cw746WBDwZApTBzJqhoy3GU0DtC7PR9aEtSrUchlE4RWmtHUE4H0OM/bp2KMtG1K7Q3xOjtaf\nL7UUWR0aPl/bwBiY64AU+rdlDQOxbUEDj3xd5jyI5JGTzaURf4mdUHq0e0U0QzYUP5N7AsDP4xzh\nyWDSOjI8dC20v/e978VNia985StRr9fx0EMPYcuWLT0njgCAruv49Kc/veTrBw8eXPK1PXv2YM+e\nPT2/xwsFatvQRsdgBzYM1VjS0JJma2pC5BKhLcewrwqx4FGD7wj068UDkoE31DBAnLN9v56klbBa\nhbZhIv53IrT5NWDpRXh1D6TEG5CoLW9q3RA3gGmRL3WVg5uK8XTOJkZEQ2ozaU6VLE/iDw6jIWad\nP7eJwgZoitY2eUTRdRDTlPF+q0Ccg5riw9Ky6XkqaAWEhIHouhTaQ0TXQvsTn/gEXvziF+PcuXNY\nWFjA/Pw85ufnMTc3h5/5mZ/B3XffnedxrlsYY6COA2WTBdu3l11QAeCiSGgfqy8dXCMzU1eHqFys\nFKXVC0KsU0ODEgQycjFDqO/zh9NUr0bdF6kj/BoQ15FnyHHHvbC4AayfZkgAaARNjMmhNT0jPqvm\nCg3yAKAqKqasjTjVnAVldImPWC2VZbzfKkgL7S1af9F+gmSn05Rr0hDR9Z1/bGwMIyMjWFhYwNve\n9jZs2LABY2NjGB8fR6GQzbbKMMICHwhDHi0X1DFiLm++31ScgqZoeL7NhEi1yG9ussO8N+LM2j6y\ngxcjXiM0NCjRe6jRcCZJf8QZ2qmG4aSizUVdLLSj9Awp8rpDXAsNJYSu6Mvuri1HkmXeTE2HlBaq\nbhEP/7Voumyn2QqCzaVpnGicwry7gA2F1sACtVSCP9c+Z1vSGXEtuCrLZJcTSHY6iWnIivYQ0bXQ\n/tjHPoapqSmcPXsW3/rWt6DrOq644oo8j20oEFvaSqGAZjCH6chv1wlVUXFBaRon6qeW5KYKP57M\nrO2NONIsitLKxDoihLauQAevqEqhnQ1hvTXaDwAafgMF1YSmRJP09GjccXROQym0u0JcC001iHN/\nV0Mpto7YSQFAnoOuiSvahAvtldYkcd842ZhdIrSVUgn0eUfuqvUIdRwQwwAIiQVyv4j7AjMN4Ox8\nJq8pOf/pOqvm5MmTAIANGzZg7969qFQq+OM//mMcPnw4t4MbBsSNjZkGGFjHwQRpLqxsQcBCnGy0\nNr/EwwmkR7sn4lG7Gr8cMrGORIM+/Ni6IKsXWRFWxbCa1oq2sI0AQDGyLohpq3KbtjvE32ldCfq6\nDoop64girSM9I0RegzrQFR26srxA3lTkQnumsbQhUpWWwlVBXQco8HU8q4q2eHilpg7qui2zQyTr\nl64fb9/3vvfhsssua/kaYwx/8id/gptvvhkf/vCHsz62oUAIAGpElbguhqVsLUcNkfUT2BpNiwQA\nRVpHVoU4B66ezQSw9GuIwR9SaGdHPBVypLWivbm0Kf63sI7YKuU7ClLkdUXsSyU+xvqo4pXS1pGo\nwip3FbpHJFHZgd1V8WVzaRoAr2gvRuykhY0GtNH+p94OC9RxwKKEs352d9KI+3toaNAYA3NdEGm9\nXfd0LbSnp6fx0pe+FKOjoxgbG8PY2Fj8/0flxbtq4lG7PQjtC0VDZO04sHl3/HWiKFAsS1YueiT2\n4kVXQxbbhGK6pCuFduYEUUVbi6wjXujBp0FsVwBSHmE1wAjk598tiXUkxOZ+Ktq6qGjb0qO9Cqgt\nhLbTslPTicniRhAQnGq2EdolLrRlAaY3qOOAlcYAMFhqNmk5hdhSqEKL3kORQnvd07XQvvvuu7F1\n69Y8j2UoSYQ291p3U73YUt4EAtK2IVIplUClR7snhE8+GbWbzQh2IMkjlkIvOxY3Qy7O0AaSinaT\nuiCmKa+JLmGuAxCCQO1vZyf+/P0mlLL0aPcKdRxo4xtgBw4mrYkVf15XNEwWJ3CqMQPGWMtgoCSN\nSiaPdAujFMx1o53mDHO0haVQV2BC3heGha492pOTkyv+jOu6fR3MMCK6y72oacvSVxZ5hmpgU2kK\nx+onQBlt+Z5aLEmPdo8I60i/kWZpxFajq0qhnTWJ0OYV7XoktMupyp/YGWoGPLtZfv7dQR0bxDQB\nQladoQ0AClFgaRYafhOqrGj3BAtDMM8DMQ2ELOxqlxMANhWn0Qxs1PxWQa1Kod0zNNIyYbTTnJV1\nRFS0fV327gwTXQvt9773vXjggQdQry+9WOv1Or74xS9i//79mR7cMCCqPMJi0K3I21reAjf0MGef\nafm6UiyCuS5YEGR7oOuYeLtcCaESdcXGo24Q9pOmrGhnzmKPdiPO0F5qHbF9G6plyWpql1DHiSak\n9v/AWdIs/qATC215DXSDKL5Qk/uDuz0PYkLk4sE18SAzaR3pmiTyNbsG+fTrxLGjskl7KOhaUXzu\nc5/Dl770Jdxyyy0YGRnBpk2boKoqjh8/jvn5edx+++343Oc+l+exrkvEzSf2B3dZvbiwcgEen/k+\njtWOY7qY7DYkySPNloEeks4ko3Z50kJ623W1qIoKQ9FhK/yBRy6o2RFUqyCaFnsbG4uG1QAp60Ik\n9Pwzpwd/oC9AqOMCBdEA1p+4KOpFnGzMQLH4A1AoK9pdIe4JtMcHHpE8cqoxg8vGt8dfV0pJM6Sk\nO1i0XvvRbIV+dnfSFGKhLQsww0TXQltRFLz1rW/FW9/6Vjz11FP4yU9+AkVRcNFFF+Hyyy/P8xjX\nNdTlF7SjUSDsflG9MB7FfgJXT++Kv94yhl0K7a5ITwAraMUVfrp7CloBjVhoywU1K8J6DWplJH4g\nWtaj7XPrCPN9mSPcBdR1QEeKAGjf2+UlvQif+vEgKLmr0B3ioTzsoUEeSJJHFjdEqlJo90wc+ar3\nttO8EknvjngfeU0MA6u661x++eVSXGeEqF40VS60VxrBLtha5rF+ixsi46E1clHtmrTQHstoQQX4\nolpXFvh7uFJoZ0VYrcLYtDn+d6ONR1tVVJiqEVW0+Tmltt2SvS1pRXiDucDz+hYXccQiixpSpdDu\niti2EDfId3dPSA+tSZNYR6RHu1uS2Qr835l5tKPKuOgHkgWY4aBrj7YkH+IJYD024hV1CxsLG3Cs\nfqIl9F5MYZNCu3tYPHbaz2wCGMAr2nXFAyAX1KygrgvmeS0Z2vU2Hm2AVwLtwE6sC7J6tCziYTA0\nstkuT0+HVCxLNkN2ibgniAz+bi08pmpg3BxbMrQmTh2py3tCt4hmSJEa1e2uwkroigaVqPH9Xt4X\nhgMptNeYxB/sA+jtgt5a2YK638C8uxB/TUlbRyRdEdo2oOugCslsixDgDZFyQc2WcFGGNtDeOgLw\nSuDiirakM+Jv1M+oAUxkaTcDG6pVlM2QXZLYFvh56CbyVbC5NI0Fr4amn/ytK7oOYpoydaQHhKXD\niVKjxKTffiGE32Oa0lI4VKxKaH/ta1/DPffcA9u28Zd/+ZdZH9NQIW7+NZVfeL3c3BKfdmIfUYtJ\nM6SkO5jj8EgzZDdqV7yWH3n8mFxQMyGIE0dax68DWDLYo6jzgR9i8pq8qS1P1kK7FBUNGj4fwx7a\nTTlyugviSbWiQb6LyFdBnDyyxKctY197QVwLtkqhERW6qmf22gXVlL07Q0bPQvvTn/40vv3tb+Oh\nhx5CGIb4i7/4C3z84x/P49iGAurYIJqGBnNhKDq0HqLlLqws9WkrMsqpZ6jrAD1GaXWDpRVAFQJo\nmlxQMyLO0C63VrR1RYOhtN4Mi1Fjq2gqk0NrlmepLzWjinYktBGGYL7f12sOA6L4shrbQhLx12of\nUUsleU/ogXTka5bFF4DfF2qq3/I+kvVNz0L7O9/5Dj71qU/BNE2Uy2V8/vOfxyOPPJLHsQ0FfASr\nBdu3e/aBbS1HFe36ifhrqmyG7BnqOGBGNtnBaeIGGtOQC2pGhG0q2nW/gZJeWhLLKJrI4tQL6dFe\nFvE3mkSNZuPRbgRNOYa9B+Jqqtb7AK1NxSh5ZFFDpFIqg9q2nK/QJYnQDjIX2jKNavjoWWgrCv8V\ncVPzPC/+mqR3qO1AKRRgB05PW4QAMGpWMGpUFlW0o3HHcpuwKxhjoI4DaooJYNl6tAFIoZ0hwqOt\nLvJoL/ZnA8nQGt8Q8XLyHCxHIrSz8aWKHQXRDAlIn3w3iAfCprIKob2MdQSQlsJuiZOo1CDT4gsQ\nWQrjgTVyTRoGelbIN910E37jN34DCwsL+MIXvoDbbrsNr3vd6/I4tqGAOjZIoYBmYPfU9CLYWtmC\neXcBdY8La+nR7g3meQBjCHWRWZutdQQAqKHLampGBJF1RAxjCmkIJ3RQapN/Lj5/N3KUyHOwPCz2\npTIQEJh9Cu1S9KDTCJpQRfJLU56DlYirqWoIoPt4P4DvIlSMchvrCM/SlhF/3dFS0c6oEVJgCaFN\nCJiMfR0Kehbab3/72/Ha174Wr33ta3Hy5Em88Y1vxK/92q/lcWzrHlFNJQUTDGxVEUJxQ2SdV7UV\nywIIkX68LhHiS2TWZhXjBCTV8dDgHm3ZCNY/sXUkqmjXRSOkUVrys6Ki6gihLaupy5JUUrkvtd8J\nqUs82pAPO90gdl7qig+VqNCV3hrxNhencdaZhxt68dfiiD95X+iK9MCaLO8JQFQAIAQwDHk9DAk9\nD6y599578eCDD+LBBx/EsWPH8Cu/8iswDANvfvOb8zi+dQ1zXYAxsD4a8S5MDa65YsNlIIrCO/xl\nRbsrxE0tTlrIOEcb4LnEOmNgnhenm0hWR9wMGQ2eaXTI0AYS64itUhQRxThKOpKupBbUpQ8uvdIy\nndPilgbp0V4ZIb6qig+L9P7As6k0hafnn8FMcxYXVbYCSFlH6rKi3Q2i0uxrJLNhNYKCtBQOHT1X\ntB944AF88YtfBABs3boVX/nKV3DfffdlfmDDgFhQadSI18sWoUBUtI/VUg2RpZL0aHfJ4lG7WS6q\n4sEpacaTi2q/hNUqiFmAYvCH03gqZBvrSCz0NJFlLoX2coghHQ0lG1+qpmgwVWNRM6Q8Bysh1ok6\ncVd1HjaVljZEqmU5hr0XqOMAhMDXsp2tACT3BWbq8p4wJPQstH3fhxHd5ABA17PLlxw2xE0nMFdv\nW9hQGEdRs1obIosluaB2iRBfXtSckodHW2Rpy0W1f4JaFVo6QztYxjoiPMIK97pKkbc8scBT/Myu\ng6JWjKwjoklbnoOVoLYNYhbQDN1V3RM2FUXEX0poy9jXnqCOAxg6QEjfE1IXk+x0SqE9LPRsHXnV\nq16Fn//5n8fNN98MAHjooYfwyle+MvMDGwbERSYqnqu5uRFCsLWyBU+fO8yTS7QC1GIJzPNAfR+K\nfBBaliVJC1nG+0ULtBDxVDa+9AVjDGGtBv3ibfHXGlETcPtmSCG0oygtKbSXJZ2jndV1UNKLOG2f\nhTrOz0UorSMrQh0HilWAT/1V7XK2Sx5RombIsCmtI93AI1+zn60AAFbUXBkaKjTfBwtDEFXN9D0k\n5xc9V7Tf9773Yd++fXj22Wdx7Ngx3H777Xj3u9+dx7GtexZPYlvNogokPu3j9ZMAZMRfLwjxa6u9\nD4dYiTj1InqcldWL/qB2EwjD2J8NdB6/DqSsI5RP/pRCe3ni3R1dya6irRfhhA5QMKP3kNfASlDH\nBvqYVDtiVGBpVkvyiCqbIXsir8jX9OuF0lI4NPQstIMgQKFQwFVXXYXLL78c9XpdjmFfJaI5S/iD\ne83RFmyttArtZGiNrB6tRHrUrkKUJdMF+0GIFTHhTXqE+yOsikbIJEO7HohmyHapI+lmPEve0FYg\nqWiTzCLNxBh2NyomyGbIlaG2HU+qXU3kKyEEm4pTmLPPIKB8Nye2jshmyK6grgMaTZS1Mo73K8SW\nwuiakOvSuqdn68h73vMenDhxAtu3b2/phn7DG96wqgM4c+YM3vSmN+Hzn/88VFXFnXfeCUVRsHPn\nThw4cAAAb8C8//77oes67rjjDtxwww2req/zDRbbFvi/V1tFGjdHAQBVl0efxWPYZUV7RdJJC5ba\nf6RZGl3RoRAFjiqEtlxQ+0FE+4kMbSDVDNlGaOuqDl3R0AxsqAVLVvNWgDoOoCgI1ex2dkTEX/yw\nKXcVloUFAVgQgJo6gNV5tAFgc2kKz1afw2zzNC4ob5Lxfj3AwhDM8xDoGgCaywh2ICmwyfvC+qdn\noX3o0CF84xvfyESQBEGAAwcOoFDgf3h333039u/fj927d+PAgQN4+OGHsWvXLhw8eBAPPvggHMfB\n3r17cf3116+LJswwqnA60VlYrXWkYvCt9KrHqxVyDHv3iBt/Qw1Q0Cor/HRvEEJgqQU0VTluNwuC\neCpk2jrSOd4P4NdUM+AVbf/M6fwP8gUMdRweNUpIph5tAGjqkdCWzZDLItaIuJq6ynvCdMqnfUF5\nExTdADEMeU/oAmEnDHQFuQrteDqkvCbWOz1bR7Zv3465ublM3vwTn/gE9u7di6mpKTDG8MQTT2D3\n7t0AgJe//OX47ne/ix/+8Ie4+uqroWkayuUytm3bhkOHDmXy/muNEHm21vuo3TQVgze61HwutKVH\nu3uSKK3skhbSFLQCmlHqBZNCuy/CemQdWVTRVkhnT7GlWbADG0rBAvN9sCAYyLG+EKGuAxZFjWYV\ncymKBzbzQDRNNkOuQDJAq79JtZujiL+ZluSRskwd6QLq8JjLeLZC1h5tVfTuyJ3OYaHnirbjOLjp\npptw2WWXtcT83XvvvT29zle+8hVMTEzg+uuvxx/+4R8CACil8fdLpRLq9ToajQYqqQpWsVhELRpa\n8UInsS0Iob266kVRs6AQBfUlFW15U1sJcQ4aSoDJXIS2maReyAW1L0JR0S63NkMWNavjDltRtzBr\nnwaxJgDwh9t0RVySQB0H1OJCO6vBTaKi3fCbsKyirN6tgBigFRj9iTwR8Xcy1RCplEoI5K7OiqR7\nFQDkEO/HH2JtaSkcGnoW2r/6q7+ayRt/5StfASEEjz76KA4dOoT3v//9OHfuXPz9RqOBkZER+6r3\nVwAAIABJREFUlMtl1FMNHOLrKzE+XoSmnd+ROVXwSqdnUiAELto0CU3t+ZQAAEYLFTTCBiYnK9Av\n2IiTAAokwOTk8qJipe+vd84wLoI9nWC0WM788xixyjgbWUdMhbZ9/WE/B91SC/gNafLizShFn1kz\ntDFqVTp+hmPFCugChTlaQgPAWFFBocPPDvt5+LHjABu4MJ6eGM/k89js8gccpUChV0oIbXvZ1x32\nc1Cd4+KOFfkDz6aJDav6TCZYCeZjBk57Z+LfnxkfxcKx5zExbkHROt9nhv0c1M7xh5zQ5Ofiwk0b\nUTLaW9NWi6UV4BlcaJeN9p/5sJ+H84GszkHPqm7Xrl349re/jUa0BRWGIY4dO4Zrr722p9dJT5O8\n/fbb8ZGPfASf/OQn8fjjj+Oaa67BI488guuuuw5XXXUV7rnnHnieB9d1ceTIEezcuXPF1z937vyv\n5jbOLQAAzoUuDEXHubOrr/aU1RJm7NOYm6vB8fkCUZs7i7m5ztX/ycnKst8fBuwF/hDn6QoUqmX+\neWhMiysjjbPVJa8vz0H31GbOAACqgYrmXA2UUdTdBqYKGzt+hirlu25Nfk/D3PHTbceLD/t5EE14\nrkIAMHgNlsnnEfWqYubcOUzpJoLTZzq+7rCfAwBonDrL/5fxIozfxKo/k6niJI5XT2FmdgEKURAa\nvDI7c3QGWqV9sUqeA6ApzgHhO831eR9Nku1nYqomauAaan72HIi8L5x39HoOlhPlPQvtd7zjHbBt\nG0ePHsXu3bvx+OOPY9euXb2+TFve//7340Mf+hB838f27dtx0003gRCCffv24dZbbwVjDPv372+x\nrLyQEVtGVcXvu8u/bJTxfP0E3NBLTQE7/x821hrm8lG7gZq9Fw/g246yuzwbYo92NE7aDhwwsLbR\nfgIxHTIwosxamXrRlmR4lgIgzOxaiJshozHszPPAggBkmYrqMCP+Pp1oM7af8zBRGMfzteNo+E1U\njHLrdMgOQluS+OQdlcJUDSik51a2FSloBTTVhej95H1hvdPzavfss8/ioYcewu/8zu/gTW96E37z\nN38T73rXu/o6iLS/++DBg0u+v2fPHuzZs6ev9zgfERdYjbgo95l4MRIlj9S8OsZjj7bMTF0JPhyC\nJy1k5UtNY2mF1Ah2KfL6IaxWoRRLsUhbKXEESHKIxfRVKbTbI5IWvEhoZ+VLFc2QDb8JVYxhlz75\njoh7gohD7Edoj8RpVDVUjDIUmUbVFeneKUvr/BDfD5ZaQJ3I3p1hoedHtYmJCRBCcMkll+DQoUOY\nnp6G53l5HNu6h9o2iGGgSVeflyooG3xBqHk1KIUCQAjCpqxorwS1o0gzZD8BTLxmEuMkF9R+CGtV\nqCNLp0K2y9AWCKHnGmI4hBTa7UiPXwey292JK9rR0CAgGdQlWYr4+2xq/TXIA8CIwavWVbd1JyiU\nQ2uWJRliFmY2uGkxBc2UE4OHiJ4r2jt37sRHP/pR7N27F+9973sxOzsL3/fzOLZ1D3UckEIBlFFY\nen83tnRFmygKlGJRxvt1AU9a6C9KazksjT/0MEOXC2ofMEoR1uswNm2Ov1bvoqJtRd9zNcBEkuog\naUX8bYqbf1bxfrqiQ1M0NIImlOKG6L2k0O6EeAhpKiEICEx19TbJEZML66oXCe20dUTSkTjyVQly\nuScAUTNktNMpY1/XPz1XtD/84Q/j5ptvxo4dO/DOd74Ts7Oz+MxnPpPHsa17qGODmPyGttphNYKK\nHmVppyL+ZLzfylDHRthnZu1yiC14Zujx9rykd8J6HWBsSYY2sJJ1hF9XyWRCeU20I7YsqAy6okFT\nsvFQE0JQ0iw0/SaUAj8XVO60dUSILj5Aq9CXP1gUXxY8MTE4qmhLS+GyiHXa0Vguu5xAJLTlTufQ\n0PNqqqpqPFTmxhtvxI033pj5QQ0L1LZBRsoAsmmGBNJDa0oI5s8t9ytDj0haCHUVfAJYNmOn0wjx\nTk1Z0e6HMMrOVyurFdp8K16eg/aIKrOthihk7Est6kVU3VpsHZE++c6IacF1JYj7C1ZL2qMNJBVt\n6dFeHrFG+Fp2E1IXU1DTvTtyTVrvdC20P/ShD+GjH/0o9u3b13Y4RK8Da4YdFoa8A9/QwYV2v4uq\n2CaMKtqlEpjvg3oelHWS0pI18YIaCe3crCMAQl0Dld7IVRPWlo5fT6wjK6eONKLhENIf3J6WBrCM\nm4KLWhGnGrMgUmivCIsb5D0UtbG+XmvUXOTRLskm+W5IC20rJ4+2pRUQqgRMVUBdeT2sd7oW2m9+\n85sBAO985ztzO5hhQmxPCdtC39aRSGgn0yGTMexSaLdHnANRWchrBDsAhIYC5rpglIIo2cdFrXfE\nVEit0q4ZcuWKdl3lfSTSH9yeZEJqmHkVr6QXwcDitU6OYe9MGPUQVFUfE32eB2EnjCvaUTOk9Ggv\nT9wYrOdY0Ravaxiyoj0EdC20Dx8+jMOHD+d5LEOFaMoKo3zffkWeSF4Qi6qSGsOujY339drrFVFZ\n83IU2uI1fT1KvXBdqFb2FpX1TiAq2m092p0r2lYstKMoLVlNbUs6aSHr60DsKnjiGpDnoCPUsVO5\n/v2tE6qioqyX2twTpNBejkRoK7k1QxakpXCo6Fpo//M//zMA4OjRo3juuefwile8Aqqq4jvf+Q52\n7NiBN7zhDbkd5HpEVNb8WGj3t6hqioaiZqEWbafHHeYyeaQjSWYt/3dW2cFpxGv6moiXc6TQXgXt\nPdr8b3u53SAxcKIGHkEqRV57EhuVgvGsK9palPwSbazJc9AZnkRl8lz/DM7DiFHBOXceAKAYBohh\nSKG9AtRxwKKHnTybIQG+o03rUmivd7oW2nfffTcAYN++ffjqV7+KDRt4VNPCwgJ+/dd/PZ+jW8ck\nubW8mtqvdQQAKkYlto4osvFlRdJJCwpR+orS6oQVxaS5Ov83c2wAcoehV9p5tBt+E5ZmQVXUjr9H\nCEFRs9CkDohpSpHXgfR2eeYe7cjaY6sMGqTQXg4+QCubJCqAC+0TjVPwQh+GqkMtlWSvyApQx+G9\nUzkNMQMQ53OHhsrfj7G2vW+S9UHPZtHZ2VmMjSVNGpZlYW5uLtODGgYS2wL/d7852gBQMUpo+E2E\nNEx5tKUfshOJ0KYoqGYuC52oiLhq63tKeiOs8oq2tqiivVziiKCoW2gGfGCK/Pzbw1qSFrJtACtF\n1hFbJL9Ij3ZHqOOAmfymkEU1dcRsTR5RSmXZDLkCzHHAon6CvCvaga4ClILJWSTrmp7j/W644Qa8\n7W1vw2te8xpQSvHNb34TN998cx7Htq4R1hEnnsSWTUWbgaHuN1N+PLmodiJJWghhafmMhBaVckeT\n43b7IahVAULinRrGGBp+E1sKKyczWJqFs/Y5KAVLNoJ1IL3DlrlHO7KONDSKCmTySycYY6C2DTpe\nARD2He8HtEb8bbQ2QC2V4B17HiwMQdTOO0HDDHWdXGcrpF83HfEnQwvWLz0L7Q984AP41re+hcce\newyEEPziL/6izNJeBXHzUTRIIxPrSDy0poYNwjoiK9odyTNpIU1BLcBWqy3vKemNsFaFWqnEiS1u\n6CFg4bLj1wVFzULAQpBCEfS03H1rRzqBJ4/UEQBowAMURVpHOsACHwhDBIYGIMyk+NIpS5s2my02\nLEkCdRwEUUJL1rs7AnGNtQytSTV6S9YXPVtHPM+Doii46qqrcOWVV2J+fh6f+9zn8ji2dY242dgq\n307NZJswNbRGEdYRWcHriNhVaKr5jdoFePXCVsPoPaXQXg1hrda2EbIr60gkWFjBAAsCULlNuwTq\nOGCqglDNw6MdZZmHkX1HCu22iLUhEA3yev9Ce1QIbVdYR2TvznKwMATzfQRRQk5eHm3xum5U6pSx\no+ubniva73jHO2DbNo4ePYrdu3fj8ccfx65du/I4tnVNUk0NoCs69AxGHsfTIb061BJvVg1l6khH\nxDlwNYKRnIV2Q5FCe7WwIOAVuIsujr/WzVRIgWjGoybfmmWOA+h6Dkf6wiVuAEP2vlSROtL0pdBe\nDhH5mqXISzzaUTOxHMO+LOlhNUB+Hm1d1aERNbaOyvvC+qbnivazzz6Le++9F69+9avxy7/8y/jy\nl7+M2dnZPI5tXSOeYOtq/6N2BSMtQjvZIpS0p2UwgZpf5F5BK8CJLEJyQe2dIIr209plaHcxLlxU\ntOOBKbJ6tATq5OdLFQ86Db8J1bJkM2QHxD0hzvXPoEF+qXVECu3lWJwGludOZ0ErxDva8r6wvulZ\naE9MTIAQgksuuQSHDh3C9PQ0PM/L49jWNaJ6UVf8TLx4QDIdsubVQcwCoChyi3AZ4ixzPfsGsDQF\nrRDfPOW43d5Jov2WWkfKxsoV7bjDP9qSlxXVpaSFdtZVvIJqQiEKmkETilXk1XNKM32P9UB6hw3I\nKt4vGsO+2KMt7wttSc4Bb2TXlfx2vtJCm0mhva7p2a+wc+dOfPSjH8XevXvx3ve+F7Ozs/Cl57Fn\nhMirEg8bsxLaOq9e1Lw6CCFQiyW5oC5DS3ZwntYRtRBvRcrKRe8kw2qS5q16F1MhBcIj7OuKzHFu\nA2MM1HUQjHFRlvW1ILLMG5F1BODrn1pc+dwNE+Lv0oliELMowFhaAZqioerK+QrdkKSBMVhqIdds\na0sroKnKNKphoOeK9oc//GHcfPPN2LFjB975zndidnYWn/nMZ/I4tnVNMpWQZbJFCPAcbQCo+qLx\npSg92suQZ6RZGitd0ZYLas+E1c4VbeH/XQ4RLxefAym0WxBpF37kDRbDNLKkpBfR9JuJ0LbldbCY\nOIlK5TazLM4DIQQjRgULwqMdpWmEcmhNW5JzQHNNogL4+W0q0joyDPQstO+66y7s3r0bAHDjjTfi\nrrvuwmWXXZb5ga13qG0DhMDXSCZbhABgqiZ0RY+nQ6rFEmizCcZYJq+/3qCOA6apYEr2kWZpCprZ\nMoJd0hvCOqKNpKZCBj00Q0bXlyM7/NuyuAEsj4fOolZEI2hCKQihLX3aixF/l7YawlSNZSee9sKI\nUUHNq4MyGltHZEW7PdR1AQihnU+0n8DSrFSOtlyT1jM9C+1Dhw6hIS/SvuGjdg0+5jUjoU0IQcUo\no5oaw86CAEx66NvCHAc0SlrIt6JtyYp2HwRtK9pcqJWN7q0jcUOqrKa2kPalEhCYuVS0LVBGwQo8\n+UXuKixFnIe6mk2GtmDUqCBkIZ+OGjVDSkthe4RXmg8xy7mirZmtOdqSdUvPHm1VVfHTP/3TuOSS\nS2CayYJ87733Znpg6x1qO0D0+WV5QVf0Mo7XT4AxFnsgw2YTipnv0/kLkdCxQXOeAAbwppdABRgh\nckFdBYlHOxHada9764gQLXYstGU1NQ2LbWz85p+HL1UkjwQi+UWegyWIh4+6EmS2ywkAFTPJ0t4k\nYl9l6khb4uQXjaCQU4a2QFoKh4eehfaZM2fwe7/3e3kcy1BBHQesyKs7mS6qRhkBC2EHDpSSGFpT\nB8bHM3uP9QJzHISjfDHNtxnSBAgBM3S5oK6COHUkHe8XNGEoOnR15VQAcX01ZONRW+J+EZXmJi7E\nA5FvRBYqWdFeQhz5qvgoZ7gepSP+LihvAtF1aR3pQNpGNZZzRdtSCy0j2CXrl56F9tjYGF70oheh\nVJId4/1AHRvhWBEAy7ainZoOma5oS1rhSQsu/Ci1Is/qhfB/h4YmY5xWQVirgWgalEJyjhp+s6vE\nESCq0oKgrnChHUqR10K6ASyvB05h33F1BQqk0G5HbOHRgamchDbAGyKprGi3ZVBJVEAU+6pJj/Yw\nIK0jawD1fbAgiHJrs8vRBlqztDfIMewdYa4LMBZXFPJOHQGA0FBl5WIVBLUq1MpIi6Wh4TcwZW3s\n6vcVosDSCqgxHkMqb2qtUDfypSphbk3BwjriGoAFKbTbIT4TX1My92gDidBWiiUE585m9vrriZYh\nZgMQ2jL2dTjoWWi/733vy+M4hgpR1fQNFVxo51DR9uqYFB3mMuJvCYMatZt+7UBXQRdkJalXwmoV\nxqbN8b99GsANva4r2gC3j1R9niggRV4ribjI74FTWEdslUmh3YGkop1dgzyQGsP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TrSbE2Etio7zDvhzcyA6Dq08XEAwOHjCzA0BRdOlbFtKxeCM3MBHv3RqVW/h6HoUIkKR+wq2MN7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\nQggRBP8DJ8hwfmkSLOsAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -776,7 +634,7 @@ } ], "source": [ - "poa_irrad = pvlib.irradiance.globalinplane(aoi, forecast_data['dni'], poa_sky_diffuse, poa_ground_diffuse)\n", + "poa_irrad = irradiance.globalinplane(aoi, forecast_data['dni'], poa_sky_diffuse, poa_ground_diffuse)\n", "\n", "poa_irrad.plot()\n", "plt.ylabel('Irradiance ($W/m^{-2}$)')\n", @@ -794,7 +652,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 18, "metadata": { "collapsed": false }, @@ -802,18 +660,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 30, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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HY7co3dIhSbV3yAAGpv2Bu3BpHNByVjGr1hZKYFPvG/ivTffgomMvGLLNHABE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1ZHUxobZz5Si0N+3Xp12AMYFmvLFrFdZ1bQQAhAMiZDUJTaeLlnLlbEw+oHPD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\nv+NmEOjZM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PV66eBk7Q1MJhPR0dHodDoWLFjAhAkT+P3vf09gYCDZ2dkoikJkZKTbXAuy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\nTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -823,7 +681,7 @@ "source": [ "temperature = forecast_data['temperature']\n", "wnd_spd = forecast_data['wind_speed']\n", - "pvtemps = pvlib.pvsystem.sapm_celltemp(poa_irrad['poa_global'], wnd_spd, temperature)\n", + "pvtemps = pvsystem.sapm_celltemp(poa_irrad['poa_global'], wnd_spd, temperature)\n", "\n", "pvtemps.plot()\n", "plt.ylabel('Temperature (C)')" @@ -845,13 +703,13 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "sandia_modules = pvlib.pvsystem.retrieve_sam(name='SandiaMod')" + "sandia_modules = pvsystem.retrieve_sam(name='SandiaMod')" ] }, { @@ -863,7 +721,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "metadata": { "collapsed": false }, @@ -916,7 +774,7 @@ "Name: Canadian_Solar_CS5P_220M___2009_, dtype: object" ] }, - "execution_count": 22, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -935,45 +793,26 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " i_sc i_mp v_oc v_mp p_mp \\\n", - "2015-12-12 17:00:00-07:00 0.056138 0.050943 47.973628 31.542373 1.606849 \n", - "2015-12-12 20:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-12 23:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-13 02:00:00-07:00 NaN NaN NaN NaN NaN \n", - "2015-12-13 05:00:00-07:00 NaN NaN NaN NaN NaN \n", - "\n", - " i_x i_xx effective_irradiance \n", - "2015-12-12 17:00:00-07:00 0.054675 0.040554 0.011097 \n", - "2015-12-12 20:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-12 23:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-13 02:00:00-07:00 NaN NaN 0.000000 \n", - "2015-12-13 05:00:00-07:00 NaN NaN 0.000000 \n" - ] - }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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JOM4D9+QEHupph2hCEd0GeM3CBhgT7ZV6B5lMitU5gsJO4vHifauU9uJccIMo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\nCVnSQzEsk6YhJ9OJxtZu6LoOTbDRvJGlOm1Y/KVS6WEYnpNPoYlIiBJ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D6QhoPMLLZRSc0pfHa4cKME0+qETh2Uea0g4yi2h3HyQSEs45rQ8TUzpPzUJEazghWzrQ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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -981,7 +820,7 @@ } ], "source": [ - "sapm_out = pvlib.pvsystem.sapm(sandia_module, poa_irrad.poa_direct, poa_irrad.poa_diffuse,\n", + "sapm_out = pvsystem.sapm(sandia_module, poa_irrad.poa_direct, poa_irrad.poa_diffuse,\n", " pvtemps['temp_cell'], airmass, aoi)\n", "#print(sapm_out.head())\n", "\n", @@ -998,26 +837,26 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 22, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "cec_modules = pvlib.pvsystem.retrieve_sam(name='CECMod')\n", + "cec_modules = pvsystem.retrieve_sam(name='CECMod')\n", "cec_module = cec_modules.Canadian_Solar_CS5P_220M" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 23, "metadata": { "collapsed": false }, "outputs": [], "source": [ "photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = (\n", - " pvlib.pvsystem.calcparams_desoto(poa_irrad.poa_global,\n", + " pvsystem.calcparams_desoto(poa_irrad.poa_global,\n", " temp_cell=pvtemps['temp_cell'],\n", " alpha_isc=cec_module['alpha_sc'],\n", " module_parameters=cec_module,\n", @@ -1027,19 +866,19 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 24, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "single_diode_out = pvlib.pvsystem.singlediode(cec_module, photocurrent, saturation_current,\n", + "single_diode_out = pvsystem.singlediode(cec_module, photocurrent, saturation_current,\n", " resistance_series, resistance_shunt, nNsVth)" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 25, "metadata": { "collapsed": false }, @@ -1047,18 +886,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 35, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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qRUQkWpYkpNMJ5qX7wG/XSMBxovncqhcRc4Frc7yhE90EiMyJZg5ifVRK53Bz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CL7sC9UjE2fG2G2EgLRE/msRkwml+YFAX5wvdMKFFlLIfsVco7ZCHm5HuP8H+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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1086,13 +925,13 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 26, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "sapm_inverters = pvlib.pvsystem.retrieve_sam('sandiainverter')" + "sapm_inverters = pvsystem.retrieve_sam('sandiainverter')" ] }, { @@ -1104,7 +943,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 27, "metadata": { "collapsed": false }, @@ -1129,7 +968,7 @@ "Name: ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_, dtype: float64" ] }, - "execution_count": 37, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -1141,7 +980,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 28, "metadata": { "collapsed": false }, @@ -1149,18 +988,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 38, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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i2YCsX1u4uzgd65rWInXXix6v66ATXjHvSiANVR0xre6FDps7AQbSIuC6xdKq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\nRZ11pPcuo23qPNND8bRo/l5QEm2OZqIrQywS1H1g2ML2WuY3x1nQWm1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lfhUA4KnDL0SypqRhOTaY6gSyA5tJsypHaVexMF5xd2aKRgFAa3K+atKwT1Ba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\njopsBEFeQCtbgsLVkkHbM9k0Tfzt3/4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8YZOpGlWB2mE6btJVMR2t52ouZUBwhQIrAnJU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Xv/uIHHl29xpVTbK++2s6V9gLPnNXPKBCstAEu286ufPpnWpjgvvr2bF13Yy9EzkOUPf95OMhYc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\nEXmIk2kiIiIiIg/9D1T7Zb7Kw+fPAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1169,8 +1008,8 @@ ], "source": [ "p_acs = pd.DataFrame()\n", - "p_acs['sapm'] = pvlib.pvsystem.snlinverter(sapm_inverter, sapm_out.v_mp, sapm_out.p_mp)\n", - "p_acs['sd'] = pvlib.pvsystem.snlinverter(sapm_inverter, single_diode_out.v_mp, single_diode_out.p_mp)\n", + "p_acs['sapm'] = pvsystem.snlinverter(sapm_inverter, sapm_out.v_mp, sapm_out.p_mp)\n", + "p_acs['sd'] = pvsystem.snlinverter(sapm_inverter, single_diode_out.v_mp, single_diode_out.p_mp)\n", "\n", "p_acs.plot()\n", "plt.ylabel('AC Power (W)')" @@ -1178,32 +1017,11 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 29, "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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AsHTpUjz22GNBL2HgpfuoYTZ0BRKYYfbCnieinU4ZrGMOTj+n0vkY2hv9BAmSJFWnzHEP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\nWL58+QVf69SpE+3atWPx4sXs2bOH6dOns2LFikAtQURERES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eeeYZEhMTcblcALqwdhCo\ng3lqYJ4aWIM6mKcG1qAOoaVNa/8HqamppKenM2nSJFJSUrj99tsZN26cP9YmLaAO5qmBeWpgDepg\nnhpYgzqEjlYPzG3btmXUqFHY7XYmTJhA27Zt/bEuaSF1ME8NzFMDa1AH89TAGtQhdATk1tgiIiIi\nIqEiILfGFhEREREJFRqYRURERESaoYFZRERERKQZGphFRERERJqhgVlEREREpBkamEVEREREmqGB\nWURERESkGRqYRURERESa8V+fD+tk5D4PMwAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "#diff = p_acs['sapm'] - p_acs['sd']\n", "#diff.plot()\n", @@ -1219,7 +1037,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 30, "metadata": { "collapsed": false }, @@ -1227,18 +1045,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 40, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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qEb7nnntwuX5yReen36Dz8/NZWFggEAhQWFj4tq8HAoEERxWRTGCaJiPBE5hR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\n", 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5VeoYR3MRwAbctGs3Ak2VmXE9VsbZ598G/MqEBOYqduyNZl0FsRACe/bswQ9/+EMAwMTE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\nCsQiIiIiEtYUiEVEREQkrCkQi4iIiEhYUyAWERERkbCmQCw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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1258,7 +1076,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 31, "metadata": { "collapsed": false }, @@ -1278,43 +1096,43 @@ " \n", " \n", " count\n", - " 28.000000\n", + " 56.000000\n", " 28.000000\n", " \n", " \n", " mean\n", - " 69.343987\n", - " 71.066917\n", + " 33.792159\n", + " 68.864911\n", " \n", " \n", " std\n", - " 70.313801\n", - " 68.349799\n", + " 57.154386\n", + " 64.459024\n", " \n", " \n", " min\n", " -0.020000\n", - " 2.737705\n", + " 6.561978\n", " \n", " \n", " 25%\n", - " 5.483763\n", - " 7.230393\n", + " -0.020000\n", + " 11.859527\n", " \n", " \n", " 50%\n", - " 29.454242\n", - " 32.080356\n", + " 2.670860\n", + " 33.870485\n", " \n", " \n", " 75%\n", - " 151.245933\n", - " 150.810197\n", + " 23.515381\n", + " 143.433871\n", " \n", " \n", " max\n", - " 162.212242\n", - " 161.640229\n", + " 157.287474\n", + " 156.656684\n", " \n", " \n", "\n", @@ -1322,17 +1140,17 @@ ], "text/plain": [ " sapm sd\n", - "count 28.000000 28.000000\n", - "mean 69.343987 71.066917\n", - "std 70.313801 68.349799\n", - "min -0.020000 2.737705\n", - "25% 5.483763 7.230393\n", - "50% 29.454242 32.080356\n", - "75% 151.245933 150.810197\n", - "max 162.212242 161.640229" + "count 56.000000 28.000000\n", + "mean 33.792159 68.864911\n", + "std 57.154386 64.459024\n", + "min -0.020000 6.561978\n", + "25% -0.020000 11.859527\n", + "50% 2.670860 33.870485\n", + "75% 23.515381 143.433871\n", + "max 157.287474 156.656684" ] }, - "execution_count": 41, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -1343,7 +1161,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 32, "metadata": { "collapsed": false }, @@ -1351,12 +1169,12 @@ { "data": { "text/plain": [ - "sapm 1941.631623\n", - "sd 1989.873675\n", + "sapm 1892.360893\n", + "sd 1928.217518\n", "dtype: float64" ] }, - "execution_count": 42, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } diff --git a/pvlib/forecast.py b/pvlib/forecast.py index b9c2a352db..aaf4b40b6a 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -192,12 +192,12 @@ def set_location(self, time): if isinstance(time, datetime.datetime): tzinfo = time.tzinfo else: - try: - tzinfo = time.tz - except TypeError: - tzinfo = None + tzinfo = time.tz - self.location = Location(self.latitude, self.longitude, tz=tzinfo) + if tzinfo is None: + self.location = Location(self.latitude, self.longitude) + else: + self.location = Location(self.latitude, self.longitude, tz=tzinfo) def get_query_data(self, latitude, longitude, time, vert_level=None, variables=None): @@ -386,8 +386,9 @@ def convert_temperature(self): Converts Kelvin to celsius. ''' - self.data['temperature'] -= 273.15 - self.var_units['temperature'] = 'C' + if 'Temperature_surface' in self.queryvariables or 'Temperature_isobaric' in self.queryvariables: + self.data['temperature'] -= 273.15 + self.var_units['temperature'] = 'C' def calc_temperature(self, data): ''' diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index b3b84b8630..86e29d5391 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -1,6 +1,7 @@ from datetime import datetime,timedelta import inspect from math import isnan +from pytz import timezone import numpy as np import pandas as pd @@ -102,6 +103,7 @@ def test_gfs(): def test_temp_convert(): amodel = _working_models[0] + amodel.queryvariables = ['Temperature'] amodel.data = pd.DataFrame({'temperature':[273.15]}) amodel.convert_temperature() @@ -115,3 +117,9 @@ def test_bounding_box(): new_variables = {'temperature':'Temperature_surface'} data = amodel.get_query_data(latitude, longitude, _time, variables=new_variables) + +def test_set_location(): + amodel = _working_models[0] + time = datetime.now(timezone('UTC')) + amodel.set_location(time) + From f918a1fcda0c91a11366da7cb467e906c0316531 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Thu, 7 Jan 2016 21:49:09 -0700 Subject: [PATCH 29/88] Updated forecast.py --- pvlib/forecast.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/pvlib/forecast.py b/pvlib/forecast.py index aaf4b40b6a..c47e738284 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -411,7 +411,10 @@ def calc_temperature(self, data): def calc_wind(self, data): ''' - Computes wind speed. + Computes wind speed. + + In some cases only gust wind speed is available. The wind_type + attribute will indicate the type of wind speed that is present. Parameters ---------- From d7cd8a9fcafc4e40328856e9bb318151de0588b3 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 17:04:28 -0700 Subject: [PATCH 30/88] add rtd ymls --- docs/environment.yml | 11 +++++++++++ readthedocs.yml | 5 +++++ 2 files changed, 16 insertions(+) create mode 100644 docs/environment.yml create mode 100644 readthedocs.yml diff --git a/docs/environment.yml b/docs/environment.yml new file mode 100644 index 0000000000..d28ce14599 --- /dev/null +++ b/docs/environment.yml @@ -0,0 +1,11 @@ +name: pvlib +dependencies: + - python=2.7 + - numpy + - scipy + - pandas + - pytz + - ephem + - numba + - ipython + - sphinx \ No newline at end of file diff --git a/readthedocs.yml b/readthedocs.yml new file mode 100644 index 0000000000..e86f8376d8 --- /dev/null +++ b/readthedocs.yml @@ -0,0 +1,5 @@ +conda: + file: docs/environment.yml +python: + version: 2 + setup_py_install: true \ No newline at end of file From 1230a26159ecdfe78c1caa23fc2677bea12cd57e Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 17:15:54 -0700 Subject: [PATCH 31/88] add numpydoc to rtd conda env, remove from source --- docs/environment.yml | 4 +- docs/sphinx/sphinxext/numpydoc/LICENSE.txt | 94 -- docs/sphinx/sphinxext/numpydoc/README.rst | 65 -- docs/sphinx/sphinxext/numpydoc/__init__.py | 3 - .../sphinxext/numpydoc/comment_eater.py | 169 ---- .../sphinxext/numpydoc/compiler_unparse.py | 865 ------------------ docs/sphinx/sphinxext/numpydoc/docscrape.py | 543 ----------- .../sphinxext/numpydoc/docscrape_sphinx.py | 274 ------ docs/sphinx/sphinxext/numpydoc/linkcode.py | 83 -- docs/sphinx/sphinxext/numpydoc/numpydoc.py | 192 ---- .../sphinxext/numpydoc/phantom_import.py | 167 ---- .../sphinxext/numpydoc/plot_directive.py | 642 ------------- .../numpydoc/tests/test_docscrape.py | 807 ---------------- .../sphinxext/numpydoc/tests/test_linkcode.py | 5 - .../numpydoc/tests/test_phantom_import.py | 12 - .../numpydoc/tests/test_plot_directive.py | 11 - .../numpydoc/tests/test_traitsdoc.py | 11 - docs/sphinx/sphinxext/numpydoc/traitsdoc.py | 142 --- 18 files changed, 3 insertions(+), 4086 deletions(-) delete mode 100644 docs/sphinx/sphinxext/numpydoc/LICENSE.txt delete mode 100644 docs/sphinx/sphinxext/numpydoc/README.rst delete mode 100644 docs/sphinx/sphinxext/numpydoc/__init__.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/comment_eater.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/compiler_unparse.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/docscrape.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/docscrape_sphinx.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/linkcode.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/numpydoc.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/phantom_import.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/plot_directive.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/tests/test_docscrape.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/tests/test_linkcode.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/tests/test_phantom_import.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/tests/test_plot_directive.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/tests/test_traitsdoc.py delete mode 100644 docs/sphinx/sphinxext/numpydoc/traitsdoc.py diff --git a/docs/environment.yml b/docs/environment.yml index d28ce14599..f0ffb18704 100644 --- a/docs/environment.yml +++ b/docs/environment.yml @@ -8,4 +8,6 @@ dependencies: - ephem - numba - ipython - - sphinx \ No newline at end of file + - sphinx + - numpydoc + - seaborn \ No newline at end of file diff --git a/docs/sphinx/sphinxext/numpydoc/LICENSE.txt b/docs/sphinx/sphinxext/numpydoc/LICENSE.txt deleted file mode 100644 index b15c699dce..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/LICENSE.txt +++ /dev/null @@ -1,94 +0,0 @@ -------------------------------------------------------------------------------- - The files - - numpydoc.py - - docscrape.py - - docscrape_sphinx.py - - phantom_import.py - have the following license: - -Copyright (C) 2008 Stefan van der Walt , Pauli Virtanen - -Redistribution and use in source and binary forms, with or without -modification, are permitted provided that the following conditions are -met: - - 1. Redistributions of source code must retain the above copyright - notice, this list of conditions and the following disclaimer. - 2. Redistributions in binary form must reproduce the above copyright - notice, this list of conditions and the following disclaimer in - the documentation and/or other materials provided with the - distribution. - -THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR -IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED -WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE -DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, -INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES -(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR -SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) -HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, -STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING -IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE -POSSIBILITY OF SUCH DAMAGE. - -------------------------------------------------------------------------------- - The files - - compiler_unparse.py - - comment_eater.py - - traitsdoc.py - have the following license: - -This software is OSI Certified Open Source Software. -OSI Certified is a certification mark of the Open Source Initiative. - -Copyright (c) 2006, Enthought, Inc. -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted provided that the following conditions are met: - - * Redistributions of source code must retain the above copyright notice, this - list of conditions and the following disclaimer. - * Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. - * Neither the name of Enthought, Inc. nor the names of its contributors may - be used to endorse or promote products derived from this software without - specific prior written permission. - -THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND -ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED -WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE -DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR -ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES -(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; -LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON -ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT -(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS -SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - - -------------------------------------------------------------------------------- - The file - - plot_directive.py - originates from Matplotlib (http://matplotlib.sf.net/) which has - the following license: - -Copyright (c) 2002-2008 John D. Hunter; All Rights Reserved. - -1. This LICENSE AGREEMENT is between John D. 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By copying, installing or otherwise using matplotlib 0.98.3, Licensee agrees to be bound by the terms and conditions of this License Agreement. - diff --git a/docs/sphinx/sphinxext/numpydoc/README.rst b/docs/sphinx/sphinxext/numpydoc/README.rst deleted file mode 100644 index 7c93abc7fe..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/README.rst +++ /dev/null @@ -1,65 +0,0 @@ -.. image:: https://travis-ci.org/numpy/numpydoc.png?branch=master - :target: https://travis-ci.org/numpy/numpydoc/ - -===================================== -numpydoc -- Numpy's Sphinx extensions -===================================== - -Numpy's documentation uses several custom extensions to Sphinx. These -are shipped in this ``numpydoc`` package, in case you want to make use -of them in third-party projects. - -The following extensions are available: - - - ``numpydoc``: support for the Numpy docstring format in Sphinx, and add - the code description directives ``np:function``, ``np-c:function``, etc. - that support the Numpy docstring syntax. - - - ``numpydoc.traitsdoc``: For gathering documentation about Traits attributes. - - - ``numpydoc.plot_directive``: Adaptation of Matplotlib's ``plot::`` - directive. Note that this implementation may still undergo severe - changes or eventually be deprecated. - -See `A Guide to NumPy/SciPy Documentation `_ -for how to write docs that use this extension. - - -numpydoc -======== - -Numpydoc inserts a hook into Sphinx's autodoc that converts docstrings -following the Numpy/Scipy format to a form palatable to Sphinx. - -Options -------- - -The following options can be set in conf.py: - -- numpydoc_use_plots: bool - - Whether to produce ``plot::`` directives for Examples sections that - contain ``import matplotlib``. - -- numpydoc_show_class_members: bool - - Whether to show all members of a class in the Methods and Attributes - sections automatically. - ``True`` by default. - -- numpydoc_show_inherited_class_members: bool - - Whether to show all inherited members of a class in the Methods and Attributes - sections automatically. If it's false, inherited members won't shown. - ``True`` by default. - -- numpydoc_class_members_toctree: bool - - Whether to create a Sphinx table of contents for the lists of class - methods and attributes. If a table of contents is made, Sphinx expects - each entry to have a separate page. - ``True`` by default. - -- numpydoc_edit_link: bool (DEPRECATED -- edit your HTML template instead) - - Whether to insert an edit link after docstrings. diff --git a/docs/sphinx/sphinxext/numpydoc/__init__.py b/docs/sphinx/sphinxext/numpydoc/__init__.py deleted file mode 100644 index 0fce2cf747..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from __future__ import division, absolute_import, print_function - -from .numpydoc import setup diff --git a/docs/sphinx/sphinxext/numpydoc/comment_eater.py b/docs/sphinx/sphinxext/numpydoc/comment_eater.py deleted file mode 100644 index 8cddd3305f..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/comment_eater.py +++ /dev/null @@ -1,169 +0,0 @@ -from __future__ import division, absolute_import, print_function - -import sys -if sys.version_info[0] >= 3: - from io import StringIO -else: - from io import StringIO - -import compiler -import inspect -import textwrap -import tokenize - -from .compiler_unparse import unparse - - -class Comment(object): - """ A comment block. - """ - is_comment = True - def __init__(self, start_lineno, end_lineno, text): - # int : The first line number in the block. 1-indexed. - self.start_lineno = start_lineno - # int : The last line number. Inclusive! - self.end_lineno = end_lineno - # str : The text block including '#' character but not any leading spaces. - self.text = text - - def add(self, string, start, end, line): - """ Add a new comment line. - """ - self.start_lineno = min(self.start_lineno, start[0]) - self.end_lineno = max(self.end_lineno, end[0]) - self.text += string - - def __repr__(self): - return '%s(%r, %r, %r)' % (self.__class__.__name__, self.start_lineno, - self.end_lineno, self.text) - - -class NonComment(object): - """ A non-comment block of code. - """ - is_comment = False - def __init__(self, start_lineno, end_lineno): - self.start_lineno = start_lineno - self.end_lineno = end_lineno - - def add(self, string, start, end, line): - """ Add lines to the block. - """ - if string.strip(): - # Only add if not entirely whitespace. - self.start_lineno = min(self.start_lineno, start[0]) - self.end_lineno = max(self.end_lineno, end[0]) - - def __repr__(self): - return '%s(%r, %r)' % (self.__class__.__name__, self.start_lineno, - self.end_lineno) - - -class CommentBlocker(object): - """ Pull out contiguous comment blocks. - """ - def __init__(self): - # Start with a dummy. - self.current_block = NonComment(0, 0) - - # All of the blocks seen so far. - self.blocks = [] - - # The index mapping lines of code to their associated comment blocks. - self.index = {} - - def process_file(self, file): - """ Process a file object. - """ - if sys.version_info[0] >= 3: - nxt = file.__next__ - else: - nxt = file.next - for token in tokenize.generate_tokens(nxt): - self.process_token(*token) - self.make_index() - - def process_token(self, kind, string, start, end, line): - """ Process a single token. - """ - if self.current_block.is_comment: - if kind == tokenize.COMMENT: - self.current_block.add(string, start, end, line) - else: - self.new_noncomment(start[0], end[0]) - else: - if kind == tokenize.COMMENT: - self.new_comment(string, start, end, line) - else: - self.current_block.add(string, start, end, line) - - def new_noncomment(self, start_lineno, end_lineno): - """ We are transitioning from a noncomment to a comment. - """ - block = NonComment(start_lineno, end_lineno) - self.blocks.append(block) - self.current_block = block - - def new_comment(self, string, start, end, line): - """ Possibly add a new comment. - - Only adds a new comment if this comment is the only thing on the line. - Otherwise, it extends the noncomment block. - """ - prefix = line[:start[1]] - if prefix.strip(): - # Oops! Trailing comment, not a comment block. - self.current_block.add(string, start, end, line) - else: - # A comment block. - block = Comment(start[0], end[0], string) - self.blocks.append(block) - self.current_block = block - - def make_index(self): - """ Make the index mapping lines of actual code to their associated - prefix comments. - """ - for prev, block in zip(self.blocks[:-1], self.blocks[1:]): - if not block.is_comment: - self.index[block.start_lineno] = prev - - def search_for_comment(self, lineno, default=None): - """ Find the comment block just before the given line number. - - Returns None (or the specified default) if there is no such block. - """ - if not self.index: - self.make_index() - block = self.index.get(lineno, None) - text = getattr(block, 'text', default) - return text - - -def strip_comment_marker(text): - """ Strip # markers at the front of a block of comment text. - """ - lines = [] - for line in text.splitlines(): - lines.append(line.lstrip('#')) - text = textwrap.dedent('\n'.join(lines)) - return text - - -def get_class_traits(klass): - """ Yield all of the documentation for trait definitions on a class object. - """ - # FIXME: gracefully handle errors here or in the caller? - source = inspect.getsource(klass) - cb = CommentBlocker() - cb.process_file(StringIO(source)) - mod_ast = compiler.parse(source) - class_ast = mod_ast.node.nodes[0] - for node in class_ast.code.nodes: - # FIXME: handle other kinds of assignments? - if isinstance(node, compiler.ast.Assign): - name = node.nodes[0].name - rhs = unparse(node.expr).strip() - doc = strip_comment_marker(cb.search_for_comment(node.lineno, default='')) - yield name, rhs, doc - diff --git a/docs/sphinx/sphinxext/numpydoc/compiler_unparse.py b/docs/sphinx/sphinxext/numpydoc/compiler_unparse.py deleted file mode 100644 index 8933a83db3..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/compiler_unparse.py +++ /dev/null @@ -1,865 +0,0 @@ -""" Turn compiler.ast structures back into executable python code. - - The unparse method takes a compiler.ast tree and transforms it back into - valid python code. It is incomplete and currently only works for - import statements, function calls, function definitions, assignments, and - basic expressions. - - Inspired by python-2.5-svn/Demo/parser/unparse.py - - fixme: We may want to move to using _ast trees because the compiler for - them is about 6 times faster than compiler.compile. -""" -from __future__ import division, absolute_import, print_function - -import sys -from compiler.ast import Const, Name, Tuple, Div, Mul, Sub, Add - -if sys.version_info[0] >= 3: - from io import StringIO -else: - from StringIO import StringIO - -def unparse(ast, single_line_functions=False): - s = StringIO() - UnparseCompilerAst(ast, s, single_line_functions) - return s.getvalue().lstrip() - -op_precedence = { 'compiler.ast.Power':3, 'compiler.ast.Mul':2, 'compiler.ast.Div':2, - 'compiler.ast.Add':1, 'compiler.ast.Sub':1 } - -class UnparseCompilerAst: - """ Methods in this class recursively traverse an AST and - output source code for the abstract syntax; original formatting - is disregarged. - """ - - ######################################################################### - # object interface. - ######################################################################### - - def __init__(self, tree, file = sys.stdout, single_line_functions=False): - """ Unparser(tree, file=sys.stdout) -> None. - - Print the source for tree to file. - """ - self.f = file - self._single_func = single_line_functions - self._do_indent = True - self._indent = 0 - self._dispatch(tree) - self._write("\n") - self.f.flush() - - ######################################################################### - # Unparser private interface. - ######################################################################### - - ### format, output, and dispatch methods ################################ - - def _fill(self, text = ""): - "Indent a piece of text, according to the current indentation level" - if self._do_indent: - self._write("\n"+" "*self._indent + text) - else: - self._write(text) - - def _write(self, text): - "Append a piece of text to the current line." - self.f.write(text) - - def _enter(self): - "Print ':', and increase the indentation." - self._write(": ") - self._indent += 1 - - def _leave(self): - "Decrease the indentation level." - self._indent -= 1 - - def _dispatch(self, tree): - "_dispatcher function, _dispatching tree type T to method _T." - if isinstance(tree, list): - for t in tree: - self._dispatch(t) - return - meth = getattr(self, "_"+tree.__class__.__name__) - if tree.__class__.__name__ == 'NoneType' and not self._do_indent: - return - meth(tree) - - - ######################################################################### - # compiler.ast unparsing methods. - # - # There should be one method per concrete grammar type. They are - # organized in alphabetical order. - ######################################################################### - - def _Add(self, t): - self.__binary_op(t, '+') - - def _And(self, t): - self._write(" (") - for i, node in enumerate(t.nodes): - self._dispatch(node) - if i != len(t.nodes)-1: - self._write(") and (") - self._write(")") - - def _AssAttr(self, t): - """ Handle assigning an attribute of an object - """ - self._dispatch(t.expr) - self._write('.'+t.attrname) - - def _Assign(self, t): - """ Expression Assignment such as "a = 1". - - This only handles assignment in expressions. Keyword assignment - is handled separately. - """ - self._fill() - for target in t.nodes: - self._dispatch(target) - self._write(" = ") - self._dispatch(t.expr) - if not self._do_indent: - self._write('; ') - - def _AssName(self, t): - """ Name on left hand side of expression. - - Treat just like a name on the right side of an expression. - """ - self._Name(t) - - def _AssTuple(self, t): - """ Tuple on left hand side of an expression. - """ - - # _write each elements, separated by a comma. - for element in t.nodes[:-1]: - self._dispatch(element) - self._write(", ") - - # Handle the last one without writing comma - last_element = t.nodes[-1] - self._dispatch(last_element) - - def _AugAssign(self, t): - """ +=,-=,*=,/=,**=, etc. operations - """ - - self._fill() - self._dispatch(t.node) - self._write(' '+t.op+' ') - self._dispatch(t.expr) - if not self._do_indent: - self._write(';') - - def _Bitand(self, t): - """ Bit and operation. - """ - - for i, node in enumerate(t.nodes): - self._write("(") - self._dispatch(node) - self._write(")") - if i != len(t.nodes)-1: - self._write(" & ") - - def _Bitor(self, t): - """ Bit or operation - """ - - for i, node in enumerate(t.nodes): - self._write("(") - self._dispatch(node) - self._write(")") - if i != len(t.nodes)-1: - self._write(" | ") - - def _CallFunc(self, t): - """ Function call. - """ - self._dispatch(t.node) - self._write("(") - comma = False - for e in t.args: - if comma: self._write(", ") - else: comma = True - self._dispatch(e) - if t.star_args: - if comma: self._write(", ") - else: comma = True - self._write("*") - self._dispatch(t.star_args) - if t.dstar_args: - if comma: self._write(", ") - else: comma = True - self._write("**") - self._dispatch(t.dstar_args) - self._write(")") - - def _Compare(self, t): - self._dispatch(t.expr) - for op, expr in t.ops: - self._write(" " + op + " ") - self._dispatch(expr) - - def _Const(self, t): - """ A constant value such as an integer value, 3, or a string, "hello". - """ - self._dispatch(t.value) - - def _Decorators(self, t): - """ Handle function decorators (eg. @has_units) - """ - for node in t.nodes: - self._dispatch(node) - - def _Dict(self, t): - self._write("{") - for i, (k, v) in enumerate(t.items): - self._dispatch(k) - self._write(": ") - self._dispatch(v) - if i < len(t.items)-1: - self._write(", ") - self._write("}") - - def _Discard(self, t): - """ Node for when return value is ignored such as in "foo(a)". - """ - self._fill() - self._dispatch(t.expr) - - def _Div(self, t): - self.__binary_op(t, '/') - - def _Ellipsis(self, t): - self._write("...") - - def _From(self, t): - """ Handle "from xyz import foo, bar as baz". - """ - # fixme: Are From and ImportFrom handled differently? - self._fill("from ") - self._write(t.modname) - self._write(" import ") - for i, (name,asname) in enumerate(t.names): - if i != 0: - self._write(", ") - self._write(name) - if asname is not None: - self._write(" as "+asname) - - def _Function(self, t): - """ Handle function definitions - """ - if t.decorators is not None: - self._fill("@") - self._dispatch(t.decorators) - self._fill("def "+t.name + "(") - defaults = [None] * (len(t.argnames) - len(t.defaults)) + list(t.defaults) - for i, arg in enumerate(zip(t.argnames, defaults)): - self._write(arg[0]) - if arg[1] is not None: - self._write('=') - self._dispatch(arg[1]) - if i < len(t.argnames)-1: - self._write(', ') - self._write(")") - if self._single_func: - self._do_indent = False - self._enter() - self._dispatch(t.code) - self._leave() - self._do_indent = True - - def _Getattr(self, t): - """ Handle getting an attribute of an object - """ - if isinstance(t.expr, (Div, Mul, Sub, Add)): - self._write('(') - self._dispatch(t.expr) - self._write(')') - else: - self._dispatch(t.expr) - - self._write('.'+t.attrname) - - def _If(self, t): - self._fill() - - for i, (compare,code) in enumerate(t.tests): - if i == 0: - self._write("if ") - else: - self._write("elif ") - self._dispatch(compare) - self._enter() - self._fill() - self._dispatch(code) - self._leave() - self._write("\n") - - if t.else_ is not None: - self._write("else") - self._enter() - self._fill() - self._dispatch(t.else_) - self._leave() - self._write("\n") - - def _IfExp(self, t): - self._dispatch(t.then) - self._write(" if ") - self._dispatch(t.test) - - if t.else_ is not None: - self._write(" else (") - self._dispatch(t.else_) - self._write(")") - - def _Import(self, t): - """ Handle "import xyz.foo". - """ - self._fill("import ") - - for i, (name,asname) in enumerate(t.names): - if i != 0: - self._write(", ") - self._write(name) - if asname is not None: - self._write(" as "+asname) - - def _Keyword(self, t): - """ Keyword value assignment within function calls and definitions. - """ - self._write(t.name) - self._write("=") - self._dispatch(t.expr) - - def _List(self, t): - self._write("[") - for i,node in enumerate(t.nodes): - self._dispatch(node) - if i < len(t.nodes)-1: - self._write(", ") - self._write("]") - - def _Module(self, t): - if t.doc is not None: - self._dispatch(t.doc) - self._dispatch(t.node) - - def _Mul(self, t): - self.__binary_op(t, '*') - - def _Name(self, t): - self._write(t.name) - - def _NoneType(self, t): - self._write("None") - - def _Not(self, t): - self._write('not (') - self._dispatch(t.expr) - self._write(')') - - def _Or(self, t): - self._write(" (") - for i, node in enumerate(t.nodes): - self._dispatch(node) - if i != len(t.nodes)-1: - self._write(") or (") - self._write(")") - - def _Pass(self, t): - self._write("pass\n") - - def _Printnl(self, t): - self._fill("print ") - if t.dest: - self._write(">> ") - self._dispatch(t.dest) - self._write(", ") - comma = False - for node in t.nodes: - if comma: self._write(', ') - else: comma = True - self._dispatch(node) - - def _Power(self, t): - self.__binary_op(t, '**') - - def _Return(self, t): - self._fill("return ") - if t.value: - if isinstance(t.value, Tuple): - text = ', '.join([ name.name for name in t.value.asList() ]) - self._write(text) - else: - self._dispatch(t.value) - if not self._do_indent: - self._write('; ') - - def _Slice(self, t): - self._dispatch(t.expr) - self._write("[") - if t.lower: - self._dispatch(t.lower) - self._write(":") - if t.upper: - self._dispatch(t.upper) - #if t.step: - # self._write(":") - # self._dispatch(t.step) - self._write("]") - - def _Sliceobj(self, t): - for i, node in enumerate(t.nodes): - if i != 0: - self._write(":") - if not (isinstance(node, Const) and node.value is None): - self._dispatch(node) - - def _Stmt(self, tree): - for node in tree.nodes: - self._dispatch(node) - - def _Sub(self, t): - self.__binary_op(t, '-') - - def _Subscript(self, t): - self._dispatch(t.expr) - self._write("[") - for i, value in enumerate(t.subs): - if i != 0: - self._write(",") - self._dispatch(value) - self._write("]") - - def _TryExcept(self, t): - self._fill("try") - self._enter() - self._dispatch(t.body) - self._leave() - - for handler in t.handlers: - self._fill('except ') - self._dispatch(handler[0]) - if handler[1] is not None: - self._write(', ') - self._dispatch(handler[1]) - self._enter() - self._dispatch(handler[2]) - self._leave() - - if t.else_: - self._fill("else") - self._enter() - self._dispatch(t.else_) - self._leave() - - def _Tuple(self, t): - - if not t.nodes: - # Empty tuple. - self._write("()") - else: - self._write("(") - - # _write each elements, separated by a comma. - for element in t.nodes[:-1]: - self._dispatch(element) - self._write(", ") - - # Handle the last one without writing comma - last_element = t.nodes[-1] - self._dispatch(last_element) - - self._write(")") - - def _UnaryAdd(self, t): - self._write("+") - self._dispatch(t.expr) - - def _UnarySub(self, t): - self._write("-") - self._dispatch(t.expr) - - def _With(self, t): - self._fill('with ') - self._dispatch(t.expr) - if t.vars: - self._write(' as ') - self._dispatch(t.vars.name) - self._enter() - self._dispatch(t.body) - self._leave() - self._write('\n') - - def _int(self, t): - self._write(repr(t)) - - def __binary_op(self, t, symbol): - # Check if parenthesis are needed on left side and then dispatch - has_paren = False - left_class = str(t.left.__class__) - if (left_class in op_precedence.keys() and - op_precedence[left_class] < op_precedence[str(t.__class__)]): - has_paren = True - if has_paren: - self._write('(') - self._dispatch(t.left) - if has_paren: - self._write(')') - # Write the appropriate symbol for operator - self._write(symbol) - # Check if parenthesis are needed on the right side and then dispatch - has_paren = False - right_class = str(t.right.__class__) - if (right_class in op_precedence.keys() and - op_precedence[right_class] < op_precedence[str(t.__class__)]): - has_paren = True - if has_paren: - self._write('(') - self._dispatch(t.right) - if has_paren: - self._write(')') - - def _float(self, t): - # if t is 0.1, str(t)->'0.1' while repr(t)->'0.1000000000001' - # We prefer str here. - self._write(str(t)) - - def _str(self, t): - self._write(repr(t)) - - def _tuple(self, t): - self._write(str(t)) - - ######################################################################### - # These are the methods from the _ast modules unparse. - # - # As our needs to handle more advanced code increase, we may want to - # modify some of the methods below so that they work for compiler.ast. - ######################################################################### - -# # stmt -# def _Expr(self, tree): -# self._fill() -# self._dispatch(tree.value) -# -# def _Import(self, t): -# self._fill("import ") -# first = True -# for a in t.names: -# if first: -# first = False -# else: -# self._write(", ") -# self._write(a.name) -# if a.asname: -# self._write(" as "+a.asname) -# -## def _ImportFrom(self, t): -## self._fill("from ") -## self._write(t.module) -## self._write(" import ") -## for i, a in enumerate(t.names): -## if i == 0: -## self._write(", ") -## self._write(a.name) -## if a.asname: -## self._write(" as "+a.asname) -## # XXX(jpe) what is level for? -## -# -# def _Break(self, t): -# self._fill("break") -# -# def _Continue(self, t): -# self._fill("continue") -# -# def _Delete(self, t): -# self._fill("del ") -# self._dispatch(t.targets) -# -# def _Assert(self, t): -# self._fill("assert ") -# self._dispatch(t.test) -# if t.msg: -# self._write(", ") -# self._dispatch(t.msg) -# -# def _Exec(self, t): -# self._fill("exec ") -# self._dispatch(t.body) -# if t.globals: -# self._write(" in ") -# self._dispatch(t.globals) -# if t.locals: -# self._write(", ") -# self._dispatch(t.locals) -# -# def _Print(self, t): -# self._fill("print ") -# do_comma = False -# if t.dest: -# self._write(">>") -# self._dispatch(t.dest) -# do_comma = True -# for e in t.values: -# if do_comma:self._write(", ") -# else:do_comma=True -# self._dispatch(e) -# if not t.nl: -# self._write(",") -# -# def _Global(self, t): -# self._fill("global") -# for i, n in enumerate(t.names): -# if i != 0: -# self._write(",") -# self._write(" " + n) -# -# def _Yield(self, t): -# self._fill("yield") -# if t.value: -# self._write(" (") -# self._dispatch(t.value) -# self._write(")") -# -# def _Raise(self, t): -# self._fill('raise ') -# if t.type: -# self._dispatch(t.type) -# if t.inst: -# self._write(", ") -# self._dispatch(t.inst) -# if t.tback: -# self._write(", ") -# self._dispatch(t.tback) -# -# -# def _TryFinally(self, t): -# self._fill("try") -# self._enter() -# self._dispatch(t.body) -# self._leave() -# -# self._fill("finally") -# self._enter() -# self._dispatch(t.finalbody) -# self._leave() -# -# def _excepthandler(self, t): -# self._fill("except ") -# if t.type: -# self._dispatch(t.type) -# if t.name: -# self._write(", ") -# self._dispatch(t.name) -# self._enter() -# self._dispatch(t.body) -# self._leave() -# -# def _ClassDef(self, t): -# self._write("\n") -# self._fill("class "+t.name) -# if t.bases: -# self._write("(") -# for a in t.bases: -# self._dispatch(a) -# self._write(", ") -# self._write(")") -# self._enter() -# self._dispatch(t.body) -# self._leave() -# -# def _FunctionDef(self, t): -# self._write("\n") -# for deco in t.decorators: -# self._fill("@") -# self._dispatch(deco) -# self._fill("def "+t.name + "(") -# self._dispatch(t.args) -# self._write(")") -# self._enter() -# self._dispatch(t.body) -# self._leave() -# -# def _For(self, t): -# self._fill("for ") -# self._dispatch(t.target) -# self._write(" in ") -# self._dispatch(t.iter) -# self._enter() -# self._dispatch(t.body) -# self._leave() -# if t.orelse: -# self._fill("else") -# self._enter() -# self._dispatch(t.orelse) -# self._leave -# -# def _While(self, t): -# self._fill("while ") -# self._dispatch(t.test) -# self._enter() -# self._dispatch(t.body) -# self._leave() -# if t.orelse: -# self._fill("else") -# self._enter() -# self._dispatch(t.orelse) -# self._leave -# -# # expr -# def _Str(self, tree): -# self._write(repr(tree.s)) -## -# def _Repr(self, t): -# self._write("`") -# self._dispatch(t.value) -# self._write("`") -# -# def _Num(self, t): -# self._write(repr(t.n)) -# -# def _ListComp(self, t): -# self._write("[") -# self._dispatch(t.elt) -# for gen in t.generators: -# self._dispatch(gen) -# self._write("]") -# -# def _GeneratorExp(self, t): -# self._write("(") -# self._dispatch(t.elt) -# for gen in t.generators: -# self._dispatch(gen) -# self._write(")") -# -# def _comprehension(self, t): -# self._write(" for ") -# self._dispatch(t.target) -# self._write(" in ") -# self._dispatch(t.iter) -# for if_clause in t.ifs: -# self._write(" if ") -# self._dispatch(if_clause) -# -# def _IfExp(self, t): -# self._dispatch(t.body) -# self._write(" if ") -# self._dispatch(t.test) -# if t.orelse: -# self._write(" else ") -# self._dispatch(t.orelse) -# -# unop = {"Invert":"~", "Not": "not", "UAdd":"+", "USub":"-"} -# def _UnaryOp(self, t): -# self._write(self.unop[t.op.__class__.__name__]) -# self._write("(") -# self._dispatch(t.operand) -# self._write(")") -# -# binop = { "Add":"+", "Sub":"-", "Mult":"*", "Div":"/", "Mod":"%", -# "LShift":">>", "RShift":"<<", "BitOr":"|", "BitXor":"^", "BitAnd":"&", -# "FloorDiv":"//", "Pow": "**"} -# def _BinOp(self, t): -# self._write("(") -# self._dispatch(t.left) -# self._write(")" + self.binop[t.op.__class__.__name__] + "(") -# self._dispatch(t.right) -# self._write(")") -# -# boolops = {_ast.And: 'and', _ast.Or: 'or'} -# def _BoolOp(self, t): -# self._write("(") -# self._dispatch(t.values[0]) -# for v in t.values[1:]: -# self._write(" %s " % self.boolops[t.op.__class__]) -# self._dispatch(v) -# self._write(")") -# -# def _Attribute(self,t): -# self._dispatch(t.value) -# self._write(".") -# self._write(t.attr) -# -## def _Call(self, t): -## self._dispatch(t.func) -## self._write("(") -## comma = False -## for e in t.args: -## if comma: self._write(", ") -## else: comma = True -## self._dispatch(e) -## for e in t.keywords: -## if comma: self._write(", ") -## else: comma = True -## self._dispatch(e) -## if t.starargs: -## if comma: self._write(", ") -## else: comma = True -## self._write("*") -## self._dispatch(t.starargs) -## if t.kwargs: -## if comma: self._write(", ") -## else: comma = True -## self._write("**") -## self._dispatch(t.kwargs) -## self._write(")") -# -# # slice -# def _Index(self, t): -# self._dispatch(t.value) -# -# def _ExtSlice(self, t): -# for i, d in enumerate(t.dims): -# if i != 0: -# self._write(': ') -# self._dispatch(d) -# -# # others -# def _arguments(self, t): -# first = True -# nonDef = len(t.args)-len(t.defaults) -# for a in t.args[0:nonDef]: -# if first:first = False -# else: self._write(", ") -# self._dispatch(a) -# for a,d in zip(t.args[nonDef:], t.defaults): -# if first:first = False -# else: self._write(", ") -# self._dispatch(a), -# self._write("=") -# self._dispatch(d) -# if t.vararg: -# if first:first = False -# else: self._write(", ") -# self._write("*"+t.vararg) -# if t.kwarg: -# if first:first = False -# else: self._write(", ") -# self._write("**"+t.kwarg) -# -## def _keyword(self, t): -## self._write(t.arg) -## self._write("=") -## self._dispatch(t.value) -# -# def _Lambda(self, t): -# self._write("lambda ") -# self._dispatch(t.args) -# self._write(": ") -# self._dispatch(t.body) - - - diff --git a/docs/sphinx/sphinxext/numpydoc/docscrape.py b/docs/sphinx/sphinxext/numpydoc/docscrape.py deleted file mode 100644 index 1eb7c59975..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/docscrape.py +++ /dev/null @@ -1,543 +0,0 @@ -"""Extract reference documentation from the NumPy source tree. - -""" -from __future__ import division, absolute_import, print_function - -import inspect -import textwrap -import re -import pydoc -from warnings import warn -import collections -import sys - - -class Reader(object): - """A line-based string reader. - - """ - def __init__(self, data): - """ - Parameters - ---------- - data : str - String with lines separated by '\n'. - - """ - if isinstance(data,list): - self._str = data - else: - self._str = data.split('\n') # store string as list of lines - - self.reset() - - def __getitem__(self, n): - return self._str[n] - - def reset(self): - self._l = 0 # current line nr - - def read(self): - if not self.eof(): - out = self[self._l] - self._l += 1 - return out - else: - return '' - - def seek_next_non_empty_line(self): - for l in self[self._l:]: - if l.strip(): - break - else: - self._l += 1 - - def eof(self): - return self._l >= len(self._str) - - def read_to_condition(self, condition_func): - start = self._l - for line in self[start:]: - if condition_func(line): - return self[start:self._l] - self._l += 1 - if self.eof(): - return self[start:self._l+1] - return [] - - def read_to_next_empty_line(self): - self.seek_next_non_empty_line() - def is_empty(line): - return not line.strip() - return self.read_to_condition(is_empty) - - def read_to_next_unindented_line(self): - def is_unindented(line): - return (line.strip() and (len(line.lstrip()) == len(line))) - return self.read_to_condition(is_unindented) - - def peek(self,n=0): - if self._l + n < len(self._str): - return self[self._l + n] - else: - return '' - - def is_empty(self): - return not ''.join(self._str).strip() - - -class NumpyDocString(object): - def __init__(self, docstring, config={}): - docstring = textwrap.dedent(docstring).split('\n') - - self._doc = Reader(docstring) - self._parsed_data = { - 'Signature': '', - 'Summary': [''], - 'Extended Summary': [], - 'Parameters': [], - 'Returns': [], - 'Raises': [], - 'Warns': [], - 'Other Parameters': [], - 'Attributes': [], - 'Methods': [], - 'See Also': [], - 'Notes': [], - 'Warnings': [], - 'References': '', - 'Examples': '', - 'index': {} - } - - self._parse() - - def __getitem__(self,key): - return self._parsed_data[key] - - def __setitem__(self,key,val): - if key not in self._parsed_data: - warn("Unknown section %s" % key) - else: - self._parsed_data[key] = val - - def _is_at_section(self): - self._doc.seek_next_non_empty_line() - - if self._doc.eof(): - return False - - l1 = self._doc.peek().strip() # e.g. Parameters - - if l1.startswith('.. index::'): - return True - - l2 = self._doc.peek(1).strip() # ---------- or ========== - return l2.startswith('-'*len(l1)) or l2.startswith('='*len(l1)) - - def _strip(self,doc): - i = 0 - j = 0 - for i,line in enumerate(doc): - if line.strip(): break - - for j,line in enumerate(doc[::-1]): - if line.strip(): break - - return doc[i:len(doc)-j] - - def _read_to_next_section(self): - section = self._doc.read_to_next_empty_line() - - while not self._is_at_section() and not self._doc.eof(): - if not self._doc.peek(-1).strip(): # previous line was empty - section += [''] - - section += self._doc.read_to_next_empty_line() - - return section - - def _read_sections(self): - while not self._doc.eof(): - data = self._read_to_next_section() - name = data[0].strip() - - if name.startswith('..'): # index section - yield name, data[1:] - elif len(data) < 2: - yield StopIteration - else: - yield name, self._strip(data[2:]) - - def _parse_param_list(self,content): - r = Reader(content) - params = [] - while not r.eof(): - header = r.read().strip() - if ' : ' in header: - arg_name, arg_type = header.split(' : ')[:2] - else: - arg_name, arg_type = header, '' - - desc = r.read_to_next_unindented_line() - desc = dedent_lines(desc) - - params.append((arg_name,arg_type,desc)) - - return params - - - _name_rgx = re.compile(r"^\s*(:(?P\w+):`(?P[a-zA-Z0-9_.-]+)`|" - r" (?P[a-zA-Z0-9_.-]+))\s*", re.X) - def _parse_see_also(self, content): - """ - func_name : Descriptive text - continued text - another_func_name : Descriptive text - func_name1, func_name2, :meth:`func_name`, func_name3 - - """ - items = [] - - def parse_item_name(text): - """Match ':role:`name`' or 'name'""" - m = self._name_rgx.match(text) - if m: - g = m.groups() - if g[1] is None: - return g[3], None - else: - return g[2], g[1] - raise ValueError("%s is not a item name" % text) - - def push_item(name, rest): - if not name: - return - name, role = parse_item_name(name) - items.append((name, list(rest), role)) - del rest[:] - - current_func = None - rest = [] - - for line in content: - if not line.strip(): continue - - m = self._name_rgx.match(line) - if m and line[m.end():].strip().startswith(':'): - push_item(current_func, rest) - current_func, line = line[:m.end()], line[m.end():] - rest = [line.split(':', 1)[1].strip()] - if not rest[0]: - rest = [] - elif not line.startswith(' '): - push_item(current_func, rest) - current_func = None - if ',' in line: - for func in line.split(','): - if func.strip(): - push_item(func, []) - elif line.strip(): - current_func = line - elif current_func is not None: - rest.append(line.strip()) - push_item(current_func, rest) - return items - - def _parse_index(self, section, content): - """ - .. index: default - :refguide: something, else, and more - - """ - def strip_each_in(lst): - return [s.strip() for s in lst] - - out = {} - section = section.split('::') - if len(section) > 1: - out['default'] = strip_each_in(section[1].split(','))[0] - for line in content: - line = line.split(':') - if len(line) > 2: - out[line[1]] = strip_each_in(line[2].split(',')) - return out - - def _parse_summary(self): - """Grab signature (if given) and summary""" - if self._is_at_section(): - return - - # If several signatures present, take the last one - while True: - summary = self._doc.read_to_next_empty_line() - summary_str = " ".join([s.strip() for s in summary]).strip() - if re.compile('^([\w., ]+=)?\s*[\w\.]+\(.*\)$').match(summary_str): - self['Signature'] = summary_str - if not self._is_at_section(): - continue - break - - if summary is not None: - self['Summary'] = summary - - if not self._is_at_section(): - self['Extended Summary'] = self._read_to_next_section() - - def _parse(self): - self._doc.reset() - self._parse_summary() - - for (section,content) in self._read_sections(): - if not section.startswith('..'): - section = ' '.join([s.capitalize() for s in section.split(' ')]) - if section in ('Parameters', 'Returns', 'Raises', 'Warns', - 'Other Parameters', 'Attributes', 'Methods'): - self[section] = self._parse_param_list(content) - elif section.startswith('.. index::'): - self['index'] = self._parse_index(section, content) - elif section == 'See Also': - self['See Also'] = self._parse_see_also(content) - else: - self[section] = content - - # string conversion routines - - def _str_header(self, name, symbol='-'): - return [name, len(name)*symbol] - - def _str_indent(self, doc, indent=4): - out = [] - for line in doc: - out += [' '*indent + line] - return out - - def _str_signature(self): - if self['Signature']: - return [self['Signature'].replace('*','\*')] + [''] - else: - return [''] - - def _str_summary(self): - if self['Summary']: - return self['Summary'] + [''] - else: - return [] - - def _str_extended_summary(self): - if self['Extended Summary']: - return self['Extended Summary'] + [''] - else: - return [] - - def _str_param_list(self, name): - out = [] - if self[name]: - out += self._str_header(name) - for param,param_type,desc in self[name]: - if param_type: - out += ['%s : %s' % (param, param_type)] - else: - out += [param] - out += self._str_indent(desc) - out += [''] - return out - - def _str_section(self, name): - out = [] - if self[name]: - out += self._str_header(name) - out += self[name] - out += [''] - return out - - def _str_see_also(self, func_role): - if not self['See Also']: return [] - out = [] - out += self._str_header("See Also") - last_had_desc = True - for func, desc, role in self['See Also']: - if role: - link = ':%s:`%s`' % (role, func) - elif func_role: - link = ':%s:`%s`' % (func_role, func) - else: - link = "`%s`_" % func - if desc or last_had_desc: - out += [''] - out += [link] - else: - out[-1] += ", %s" % link - if desc: - out += self._str_indent([' '.join(desc)]) - last_had_desc = True - else: - last_had_desc = False - out += [''] - return out - - def _str_index(self): - idx = self['index'] - out = [] - out += ['.. index:: %s' % idx.get('default','')] - for section, references in idx.items(): - if section == 'default': - continue - out += [' :%s: %s' % (section, ', '.join(references))] - return out - - def __str__(self, func_role=''): - out = [] - out += self._str_signature() - out += self._str_summary() - out += self._str_extended_summary() - for param_list in ('Parameters', 'Returns', 'Other Parameters', - 'Raises', 'Warns'): - out += self._str_param_list(param_list) - out += self._str_section('Warnings') - out += self._str_see_also(func_role) - for s in ('Notes','References','Examples'): - out += self._str_section(s) - for param_list in ('Attributes', 'Methods'): - out += self._str_param_list(param_list) - out += self._str_index() - return '\n'.join(out) - - -def indent(str,indent=4): - indent_str = ' '*indent - if str is None: - return indent_str - lines = str.split('\n') - return '\n'.join(indent_str + l for l in lines) - -def dedent_lines(lines): - """Deindent a list of lines maximally""" - return textwrap.dedent("\n".join(lines)).split("\n") - -def header(text, style='-'): - return text + '\n' + style*len(text) + '\n' - - -class FunctionDoc(NumpyDocString): - def __init__(self, func, role='func', doc=None, config={}): - self._f = func - self._role = role # e.g. "func" or "meth" - - if doc is None: - if func is None: - raise ValueError("No function or docstring given") - doc = inspect.getdoc(func) or '' - NumpyDocString.__init__(self, doc) - - if not self['Signature'] and func is not None: - func, func_name = self.get_func() - try: - # try to read signature - if sys.version_info[0] >= 3: - argspec = inspect.getfullargspec(func) - else: - argspec = inspect.getargspec(func) - argspec = inspect.formatargspec(*argspec) - argspec = argspec.replace('*','\*') - signature = '%s%s' % (func_name, argspec) - except TypeError as e: - signature = '%s()' % func_name - self['Signature'] = signature - - def get_func(self): - func_name = getattr(self._f, '__name__', self.__class__.__name__) - if inspect.isclass(self._f): - func = getattr(self._f, '__call__', self._f.__init__) - else: - func = self._f - return func, func_name - - def __str__(self): - out = '' - - func, func_name = self.get_func() - signature = self['Signature'].replace('*', '\*') - - roles = {'func': 'function', - 'meth': 'method'} - - if self._role: - if self._role not in roles: - print("Warning: invalid role %s" % self._role) - out += '.. %s:: %s\n \n\n' % (roles.get(self._role,''), - func_name) - - out += super(FunctionDoc, self).__str__(func_role=self._role) - return out - - -class ClassDoc(NumpyDocString): - - extra_public_methods = ['__call__'] - - def __init__(self, cls, doc=None, modulename='', func_doc=FunctionDoc, - config={}): - if not inspect.isclass(cls) and cls is not None: - raise ValueError("Expected a class or None, but got %r" % cls) - self._cls = cls - - self.show_inherited_members = config.get('show_inherited_class_members', - True) - - if modulename and not modulename.endswith('.'): - modulename += '.' - self._mod = modulename - - if doc is None: - if cls is None: - raise ValueError("No class or documentation string given") - doc = pydoc.getdoc(cls) - - NumpyDocString.__init__(self, doc) - - if config.get('show_class_members', True): - def splitlines_x(s): - if not s: - return [] - else: - return s.splitlines() - - for field, items in [('Methods', self.methods), - ('Attributes', self.properties)]: - if not self[field]: - doc_list = [] - for name in sorted(items): - try: - doc_item = pydoc.getdoc(getattr(self._cls, name)) - doc_list.append((name, '', splitlines_x(doc_item))) - except AttributeError: - pass # method doesn't exist - self[field] = doc_list - - @property - def methods(self): - if self._cls is None: - return [] - return [name for name, func in inspect.getmembers(self._cls) - if ((not name.startswith('_') - or name in self.extra_public_methods) - and isinstance(func, collections.Callable) - and self._is_show_member(name))] - - @property - def properties(self): - if self._cls is None: - return [] - return [name for name, func in inspect.getmembers(self._cls) - if (not name.startswith('_') and - (func is None or isinstance(func, property) or - inspect.isgetsetdescriptor(func)) - and self._is_show_member(name))] - - def _is_show_member(self, name): - if self.show_inherited_members: - return True # show all class members - if name not in self._cls.__dict__: - return False # class member is inherited, we do not show it - return True diff --git a/docs/sphinx/sphinxext/numpydoc/docscrape_sphinx.py b/docs/sphinx/sphinxext/numpydoc/docscrape_sphinx.py deleted file mode 100644 index cdc2a37d17..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/docscrape_sphinx.py +++ /dev/null @@ -1,274 +0,0 @@ -from __future__ import division, absolute_import, print_function - -import sys, re, inspect, textwrap, pydoc -import sphinx -import collections -from .docscrape import NumpyDocString, FunctionDoc, ClassDoc - -if sys.version_info[0] >= 3: - sixu = lambda s: s -else: - sixu = lambda s: unicode(s, 'unicode_escape') - - -class SphinxDocString(NumpyDocString): - def __init__(self, docstring, config={}): - NumpyDocString.__init__(self, docstring, config=config) - self.load_config(config) - - def load_config(self, config): - self.use_plots = config.get('use_plots', False) - self.class_members_toctree = config.get('class_members_toctree', True) - - # string conversion routines - def _str_header(self, name, symbol='`'): - return ['.. rubric:: ' + name, ''] - - def _str_field_list(self, name): - return [':' + name + ':'] - - def _str_indent(self, doc, indent=4): - out = [] - for line in doc: - out += [' '*indent + line] - return out - - def _str_signature(self): - return [''] - if self['Signature']: - return ['``%s``' % self['Signature']] + [''] - else: - return [''] - - def _str_summary(self): - return self['Summary'] + [''] - - def _str_extended_summary(self): - return self['Extended Summary'] + [''] - - def _str_returns(self): - out = [] - if self['Returns']: - out += self._str_field_list('Returns') - out += [''] - for param, param_type, desc in self['Returns']: - if param_type: - out += self._str_indent(['**%s** : %s' % (param.strip(), - param_type)]) - else: - out += self._str_indent([param.strip()]) - if desc: - out += [''] - out += self._str_indent(desc, 8) - out += [''] - return out - - def _str_param_list(self, name): - out = [] - if self[name]: - out += self._str_field_list(name) - out += [''] - for param, param_type, desc in self[name]: - if param_type: - out += self._str_indent(['**%s** : %s' % (param.strip(), - param_type)]) - else: - out += self._str_indent(['**%s**' % param.strip()]) - if desc: - out += [''] - out += self._str_indent(desc, 8) - out += [''] - return out - - @property - def _obj(self): - if hasattr(self, '_cls'): - return self._cls - elif hasattr(self, '_f'): - return self._f - return None - - def _str_member_list(self, name): - """ - Generate a member listing, autosummary:: table where possible, - and a table where not. - - """ - out = [] - if self[name]: - out += ['.. rubric:: %s' % name, ''] - prefix = getattr(self, '_name', '') - - if prefix: - prefix = '~%s.' % prefix - - autosum = [] - others = [] - for param, param_type, desc in self[name]: - param = param.strip() - - # Check if the referenced member can have a docstring or not - param_obj = getattr(self._obj, param, None) - if not (callable(param_obj) - or isinstance(param_obj, property) - or inspect.isgetsetdescriptor(param_obj)): - param_obj = None - - if param_obj and (pydoc.getdoc(param_obj) or not desc): - # Referenced object has a docstring - autosum += [" %s%s" % (prefix, param)] - else: - others.append((param, param_type, desc)) - - if autosum: - out += ['.. autosummary::'] - if self.class_members_toctree: - out += [' :toctree:'] - out += [''] + autosum - - if others: - maxlen_0 = max(3, max([len(x[0]) for x in others])) - hdr = sixu("=")*maxlen_0 + sixu(" ") + sixu("=")*10 - fmt = sixu('%%%ds %%s ') % (maxlen_0,) - out += ['', hdr] - for param, param_type, desc in others: - desc = sixu(" ").join(x.strip() for x in desc).strip() - if param_type: - desc = "(%s) %s" % (param_type, desc) - out += [fmt % (param.strip(), desc)] - out += [hdr] - out += [''] - return out - - def _str_section(self, name): - out = [] - if self[name]: - out += self._str_header(name) - out += [''] - content = textwrap.dedent("\n".join(self[name])).split("\n") - out += content - out += [''] - return out - - def _str_see_also(self, func_role): - out = [] - if self['See Also']: - see_also = super(SphinxDocString, self)._str_see_also(func_role) - out = ['.. seealso::', ''] - out += self._str_indent(see_also[2:]) - return out - - def _str_warnings(self): - out = [] - if self['Warnings']: - out = ['.. warning::', ''] - out += self._str_indent(self['Warnings']) - return out - - def _str_index(self): - idx = self['index'] - out = [] - if len(idx) == 0: - return out - - out += ['.. index:: %s' % idx.get('default','')] - for section, references in idx.items(): - if section == 'default': - continue - elif section == 'refguide': - out += [' single: %s' % (', '.join(references))] - else: - out += [' %s: %s' % (section, ','.join(references))] - return out - - def _str_references(self): - out = [] - if self['References']: - out += self._str_header('References') - if isinstance(self['References'], str): - self['References'] = [self['References']] - out.extend(self['References']) - out += [''] - # Latex collects all references to a separate bibliography, - # so we need to insert links to it - if sphinx.__version__ >= "0.6": - out += ['.. only:: latex',''] - else: - out += ['.. latexonly::',''] - items = [] - for line in self['References']: - m = re.match(r'.. \[([a-z0-9._-]+)\]', line, re.I) - if m: - items.append(m.group(1)) - out += [' ' + ", ".join(["[%s]_" % item for item in items]), ''] - return out - - def _str_examples(self): - examples_str = "\n".join(self['Examples']) - - if (self.use_plots and 'import matplotlib' in examples_str - and 'plot::' not in examples_str): - out = [] - out += self._str_header('Examples') - out += ['.. plot::', ''] - out += self._str_indent(self['Examples']) - out += [''] - return out - else: - return self._str_section('Examples') - - def __str__(self, indent=0, func_role="obj"): - out = [] - out += self._str_signature() - out += self._str_index() + [''] - out += self._str_summary() - out += self._str_extended_summary() - out += self._str_param_list('Parameters') - out += self._str_returns() - for param_list in ('Other Parameters', 'Raises', 'Warns'): - out += self._str_param_list(param_list) - out += self._str_warnings() - out += self._str_see_also(func_role) - out += self._str_section('Notes') - out += self._str_references() - out += self._str_examples() - for param_list in ('Attributes', 'Methods'): - out += self._str_member_list(param_list) - out = self._str_indent(out,indent) - return '\n'.join(out) - -class SphinxFunctionDoc(SphinxDocString, FunctionDoc): - def __init__(self, obj, doc=None, config={}): - self.load_config(config) - FunctionDoc.__init__(self, obj, doc=doc, config=config) - -class SphinxClassDoc(SphinxDocString, ClassDoc): - def __init__(self, obj, doc=None, func_doc=None, config={}): - self.load_config(config) - ClassDoc.__init__(self, obj, doc=doc, func_doc=None, config=config) - -class SphinxObjDoc(SphinxDocString): - def __init__(self, obj, doc=None, config={}): - self._f = obj - self.load_config(config) - SphinxDocString.__init__(self, doc, config=config) - -def get_doc_object(obj, what=None, doc=None, config={}): - if what is None: - if inspect.isclass(obj): - what = 'class' - elif inspect.ismodule(obj): - what = 'module' - elif isinstance(obj, collections.Callable): - what = 'function' - else: - what = 'object' - if what == 'class': - return SphinxClassDoc(obj, func_doc=SphinxFunctionDoc, doc=doc, - config=config) - elif what in ('function', 'method'): - return SphinxFunctionDoc(obj, doc=doc, config=config) - else: - if doc is None: - doc = pydoc.getdoc(obj) - return SphinxObjDoc(obj, doc, config=config) diff --git a/docs/sphinx/sphinxext/numpydoc/linkcode.py b/docs/sphinx/sphinxext/numpydoc/linkcode.py deleted file mode 100644 index 1ad3ab82cb..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/linkcode.py +++ /dev/null @@ -1,83 +0,0 @@ -# -*- coding: utf-8 -*- -""" - linkcode - ~~~~~~~~ - - Add external links to module code in Python object descriptions. - - :copyright: Copyright 2007-2011 by the Sphinx team, see AUTHORS. - :license: BSD, see LICENSE for details. - -""" -from __future__ import division, absolute_import, print_function - -import warnings -import collections - -warnings.warn("This extension has been accepted to Sphinx upstream. " - "Use the version from there (Sphinx >= 1.2) " - "https://bitbucket.org/birkenfeld/sphinx/pull-request/47/sphinxextlinkcode", - FutureWarning, stacklevel=1) - - -from docutils import nodes - -from sphinx import addnodes -from sphinx.locale import _ -from sphinx.errors import SphinxError - -class LinkcodeError(SphinxError): - category = "linkcode error" - -def doctree_read(app, doctree): - env = app.builder.env - - resolve_target = getattr(env.config, 'linkcode_resolve', None) - if not isinstance(env.config.linkcode_resolve, collections.Callable): - raise LinkcodeError( - "Function `linkcode_resolve` is not given in conf.py") - - domain_keys = dict( - py=['module', 'fullname'], - c=['names'], - cpp=['names'], - js=['object', 'fullname'], - ) - - for objnode in doctree.traverse(addnodes.desc): - domain = objnode.get('domain') - uris = set() - for signode in objnode: - if not isinstance(signode, addnodes.desc_signature): - continue - - # Convert signode to a specified format - info = {} - for key in domain_keys.get(domain, []): - value = signode.get(key) - if not value: - value = '' - info[key] = value - if not info: - continue - - # Call user code to resolve the link - uri = resolve_target(domain, info) - if not uri: - # no source - continue - - if uri in uris or not uri: - # only one link per name, please - continue - uris.add(uri) - - onlynode = addnodes.only(expr='html') - onlynode += nodes.reference('', '', internal=False, refuri=uri) - onlynode[0] += nodes.inline('', _('[source]'), - classes=['viewcode-link']) - signode += onlynode - -def setup(app): - app.connect('doctree-read', doctree_read) - app.add_config_value('linkcode_resolve', None, '') diff --git a/docs/sphinx/sphinxext/numpydoc/numpydoc.py b/docs/sphinx/sphinxext/numpydoc/numpydoc.py deleted file mode 100644 index 6d848a6fe5..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/numpydoc.py +++ /dev/null @@ -1,192 +0,0 @@ -""" -======== -numpydoc -======== - -Sphinx extension that handles docstrings in the Numpy standard format. [1] - -It will: - -- Convert Parameters etc. sections to field lists. -- Convert See Also section to a See also entry. -- Renumber references. -- Extract the signature from the docstring, if it can't be determined otherwise. - -.. [1] https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt - -""" -from __future__ import division, absolute_import, print_function - -import sys -import re -import pydoc -import sphinx -import inspect -import collections - -if sphinx.__version__ < '1.0.1': - raise RuntimeError("Sphinx 1.0.1 or newer is required") - -from .docscrape_sphinx import get_doc_object, SphinxDocString -from sphinx.util.compat import Directive - -if sys.version_info[0] >= 3: - sixu = lambda s: s -else: - sixu = lambda s: unicode(s, 'unicode_escape') - - -def mangle_docstrings(app, what, name, obj, options, lines, - reference_offset=[0]): - - cfg = dict( - use_plots=app.config.numpydoc_use_plots, - show_class_members=app.config.numpydoc_show_class_members, - show_inherited_class_members=app.config.numpydoc_show_inherited_class_members, - class_members_toctree=app.config.numpydoc_class_members_toctree, - ) - - if what == 'module': - # Strip top title - title_re = re.compile(sixu('^\\s*[#*=]{4,}\\n[a-z0-9 -]+\\n[#*=]{4,}\\s*'), - re.I|re.S) - lines[:] = title_re.sub(sixu(''), sixu("\n").join(lines)).split(sixu("\n")) - else: - doc = get_doc_object(obj, what, sixu("\n").join(lines), config=cfg) - if sys.version_info[0] >= 3: - doc = str(doc) - else: - doc = unicode(doc) - lines[:] = doc.split(sixu("\n")) - - if app.config.numpydoc_edit_link and hasattr(obj, '__name__') and \ - obj.__name__: - if hasattr(obj, '__module__'): - v = dict(full_name=sixu("%s.%s") % (obj.__module__, obj.__name__)) - else: - v = dict(full_name=obj.__name__) - lines += [sixu(''), sixu('.. htmlonly::'), sixu('')] - lines += [sixu(' %s') % x for x in - (app.config.numpydoc_edit_link % v).split("\n")] - - # replace reference numbers so that there are no duplicates - references = [] - for line in lines: - line = line.strip() - m = re.match(sixu('^.. \\[([a-z0-9_.-])\\]'), line, re.I) - if m: - references.append(m.group(1)) - - # start renaming from the longest string, to avoid overwriting parts - references.sort(key=lambda x: -len(x)) - if references: - for i, line in enumerate(lines): - for r in references: - if re.match(sixu('^\\d+$'), r): - new_r = sixu("R%d") % (reference_offset[0] + int(r)) - else: - new_r = sixu("%s%d") % (r, reference_offset[0]) - lines[i] = lines[i].replace(sixu('[%s]_') % r, - sixu('[%s]_') % new_r) - lines[i] = lines[i].replace(sixu('.. [%s]') % r, - sixu('.. [%s]') % new_r) - - reference_offset[0] += len(references) - -def mangle_signature(app, what, name, obj, options, sig, retann): - # Do not try to inspect classes that don't define `__init__` - if (inspect.isclass(obj) and - (not hasattr(obj, '__init__') or - 'initializes x; see ' in pydoc.getdoc(obj.__init__))): - return '', '' - - if not (isinstance(obj, collections.Callable) or hasattr(obj, '__argspec_is_invalid_')): return - if not hasattr(obj, '__doc__'): return - - doc = SphinxDocString(pydoc.getdoc(obj)) - if doc['Signature']: - sig = re.sub(sixu("^[^(]*"), sixu(""), doc['Signature']) - return sig, sixu('') - -def setup(app, get_doc_object_=get_doc_object): - if not hasattr(app, 'add_config_value'): - return # probably called by nose, better bail out - - global get_doc_object - get_doc_object = get_doc_object_ - - app.connect('autodoc-process-docstring', mangle_docstrings) - app.connect('autodoc-process-signature', mangle_signature) - app.add_config_value('numpydoc_edit_link', None, False) - app.add_config_value('numpydoc_use_plots', None, False) - app.add_config_value('numpydoc_show_class_members', True, True) - app.add_config_value('numpydoc_show_inherited_class_members', True, True) - app.add_config_value('numpydoc_class_members_toctree', True, True) - - # Extra mangling domains - app.add_domain(NumpyPythonDomain) - app.add_domain(NumpyCDomain) - -#------------------------------------------------------------------------------ -# Docstring-mangling domains -#------------------------------------------------------------------------------ - -from docutils.statemachine import ViewList -from sphinx.domains.c import CDomain -from sphinx.domains.python import PythonDomain - -class ManglingDomainBase(object): - directive_mangling_map = {} - - def __init__(self, *a, **kw): - super(ManglingDomainBase, self).__init__(*a, **kw) - self.wrap_mangling_directives() - - def wrap_mangling_directives(self): - for name, objtype in list(self.directive_mangling_map.items()): - self.directives[name] = wrap_mangling_directive( - self.directives[name], objtype) - -class NumpyPythonDomain(ManglingDomainBase, PythonDomain): - name = 'np' - directive_mangling_map = { - 'function': 'function', - 'class': 'class', - 'exception': 'class', - 'method': 'function', - 'classmethod': 'function', - 'staticmethod': 'function', - 'attribute': 'attribute', - } - indices = [] - -class NumpyCDomain(ManglingDomainBase, CDomain): - name = 'np-c' - directive_mangling_map = { - 'function': 'function', - 'member': 'attribute', - 'macro': 'function', - 'type': 'class', - 'var': 'object', - } - -def wrap_mangling_directive(base_directive, objtype): - class directive(base_directive): - def run(self): - env = self.state.document.settings.env - - name = None - if self.arguments: - m = re.match(r'^(.*\s+)?(.*?)(\(.*)?', self.arguments[0]) - name = m.group(2).strip() - - if not name: - name = self.arguments[0] - - lines = list(self.content) - mangle_docstrings(env.app, objtype, name, None, None, lines) - self.content = ViewList(lines, self.content.parent) - - return base_directive.run(self) - - return directive diff --git a/docs/sphinx/sphinxext/numpydoc/phantom_import.py b/docs/sphinx/sphinxext/numpydoc/phantom_import.py deleted file mode 100644 index 9a60b4a35b..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/phantom_import.py +++ /dev/null @@ -1,167 +0,0 @@ -""" -============== -phantom_import -============== - -Sphinx extension to make directives from ``sphinx.ext.autodoc`` and similar -extensions to use docstrings loaded from an XML file. - -This extension loads an XML file in the Pydocweb format [1] and -creates a dummy module that contains the specified docstrings. This -can be used to get the current docstrings from a Pydocweb instance -without needing to rebuild the documented module. - -.. [1] http://code.google.com/p/pydocweb - -""" -from __future__ import division, absolute_import, print_function - -import imp, sys, compiler, types, os, inspect, re - -def setup(app): - app.connect('builder-inited', initialize) - app.add_config_value('phantom_import_file', None, True) - -def initialize(app): - fn = app.config.phantom_import_file - if (fn and os.path.isfile(fn)): - print("[numpydoc] Phantom importing modules from", fn, "...") - import_phantom_module(fn) - -#------------------------------------------------------------------------------ -# Creating 'phantom' modules from an XML description -#------------------------------------------------------------------------------ -def import_phantom_module(xml_file): - """ - Insert a fake Python module to sys.modules, based on a XML file. - - The XML file is expected to conform to Pydocweb DTD. The fake - module will contain dummy objects, which guarantee the following: - - - Docstrings are correct. - - Class inheritance relationships are correct (if present in XML). - - Function argspec is *NOT* correct (even if present in XML). - Instead, the function signature is prepended to the function docstring. - - Class attributes are *NOT* correct; instead, they are dummy objects. - - Parameters - ---------- - xml_file : str - Name of an XML file to read - - """ - import lxml.etree as etree - - object_cache = {} - - tree = etree.parse(xml_file) - root = tree.getroot() - - # Sort items so that - # - Base classes come before classes inherited from them - # - Modules come before their contents - all_nodes = dict([(n.attrib['id'], n) for n in root]) - - def _get_bases(node, recurse=False): - bases = [x.attrib['ref'] for x in node.findall('base')] - if recurse: - j = 0 - while True: - try: - b = bases[j] - except IndexError: break - if b in all_nodes: - bases.extend(_get_bases(all_nodes[b])) - j += 1 - return bases - - type_index = ['module', 'class', 'callable', 'object'] - - def base_cmp(a, b): - x = cmp(type_index.index(a.tag), type_index.index(b.tag)) - if x != 0: return x - - if a.tag == 'class' and b.tag == 'class': - a_bases = _get_bases(a, recurse=True) - b_bases = _get_bases(b, recurse=True) - x = cmp(len(a_bases), len(b_bases)) - if x != 0: return x - if a.attrib['id'] in b_bases: return -1 - if b.attrib['id'] in a_bases: return 1 - - return cmp(a.attrib['id'].count('.'), b.attrib['id'].count('.')) - - nodes = root.getchildren() - nodes.sort(base_cmp) - - # Create phantom items - for node in nodes: - name = node.attrib['id'] - doc = (node.text or '').decode('string-escape') + "\n" - if doc == "\n": doc = "" - - # create parent, if missing - parent = name - while True: - parent = '.'.join(parent.split('.')[:-1]) - if not parent: break - if parent in object_cache: break - obj = imp.new_module(parent) - object_cache[parent] = obj - sys.modules[parent] = obj - - # create object - if node.tag == 'module': - obj = imp.new_module(name) - obj.__doc__ = doc - sys.modules[name] = obj - elif node.tag == 'class': - bases = [object_cache[b] for b in _get_bases(node) - if b in object_cache] - bases.append(object) - init = lambda self: None - init.__doc__ = doc - obj = type(name, tuple(bases), {'__doc__': doc, '__init__': init}) - obj.__name__ = name.split('.')[-1] - elif node.tag == 'callable': - funcname = node.attrib['id'].split('.')[-1] - argspec = node.attrib.get('argspec') - if argspec: - argspec = re.sub('^[^(]*', '', argspec) - doc = "%s%s\n\n%s" % (funcname, argspec, doc) - obj = lambda: 0 - obj.__argspec_is_invalid_ = True - if sys.version_info[0] >= 3: - obj.__name__ = funcname - else: - obj.func_name = funcname - obj.__name__ = name - obj.__doc__ = doc - if inspect.isclass(object_cache[parent]): - obj.__objclass__ = object_cache[parent] - else: - class Dummy(object): pass - obj = Dummy() - obj.__name__ = name - obj.__doc__ = doc - if inspect.isclass(object_cache[parent]): - obj.__get__ = lambda: None - object_cache[name] = obj - - if parent: - if inspect.ismodule(object_cache[parent]): - obj.__module__ = parent - setattr(object_cache[parent], name.split('.')[-1], obj) - - # Populate items - for node in root: - obj = object_cache.get(node.attrib['id']) - if obj is None: continue - for ref in node.findall('ref'): - if node.tag == 'class': - if ref.attrib['ref'].startswith(node.attrib['id'] + '.'): - setattr(obj, ref.attrib['name'], - object_cache.get(ref.attrib['ref'])) - else: - setattr(obj, ref.attrib['name'], - object_cache.get(ref.attrib['ref'])) diff --git a/docs/sphinx/sphinxext/numpydoc/plot_directive.py b/docs/sphinx/sphinxext/numpydoc/plot_directive.py deleted file mode 100644 index 2014f85707..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/plot_directive.py +++ /dev/null @@ -1,642 +0,0 @@ -""" -A special directive for generating a matplotlib plot. - -.. warning:: - - This is a hacked version of plot_directive.py from Matplotlib. - It's very much subject to change! - - -Usage ------ - -Can be used like this:: - - .. plot:: examples/example.py - - .. plot:: - - import matplotlib.pyplot as plt - plt.plot([1,2,3], [4,5,6]) - - .. plot:: - - A plotting example: - - >>> import matplotlib.pyplot as plt - >>> plt.plot([1,2,3], [4,5,6]) - -The content is interpreted as doctest formatted if it has a line starting -with ``>>>``. - -The ``plot`` directive supports the options - - format : {'python', 'doctest'} - Specify the format of the input - - include-source : bool - Whether to display the source code. Default can be changed in conf.py - -and the ``image`` directive options ``alt``, ``height``, ``width``, -``scale``, ``align``, ``class``. - -Configuration options ---------------------- - -The plot directive has the following configuration options: - - plot_include_source - Default value for the include-source option - - plot_pre_code - Code that should be executed before each plot. - - plot_basedir - Base directory, to which plot:: file names are relative to. - (If None or empty, file names are relative to the directoly where - the file containing the directive is.) - - plot_formats - File formats to generate. List of tuples or strings:: - - [(suffix, dpi), suffix, ...] - - that determine the file format and the DPI. For entries whose - DPI was omitted, sensible defaults are chosen. - - plot_html_show_formats - Whether to show links to the files in HTML. - -TODO ----- - -* Refactor Latex output; now it's plain images, but it would be nice - to make them appear side-by-side, or in floats. - -""" -from __future__ import division, absolute_import, print_function - -import sys, os, glob, shutil, imp, warnings, re, textwrap, traceback -import sphinx - -if sys.version_info[0] >= 3: - from io import StringIO -else: - from io import StringIO - -import warnings -warnings.warn("A plot_directive module is also available under " - "matplotlib.sphinxext; expect this numpydoc.plot_directive " - "module to be deprecated after relevant features have been " - "integrated there.", - FutureWarning, stacklevel=2) - - -#------------------------------------------------------------------------------ -# Registration hook -#------------------------------------------------------------------------------ - -def setup(app): - setup.app = app - setup.config = app.config - setup.confdir = app.confdir - - app.add_config_value('plot_pre_code', '', True) - app.add_config_value('plot_include_source', False, True) - app.add_config_value('plot_formats', ['png', 'hires.png', 'pdf'], True) - app.add_config_value('plot_basedir', None, True) - app.add_config_value('plot_html_show_formats', True, True) - - app.add_directive('plot', plot_directive, True, (0, 1, False), - **plot_directive_options) - -#------------------------------------------------------------------------------ -# plot:: directive -#------------------------------------------------------------------------------ -from docutils.parsers.rst import directives -from docutils import nodes - -def plot_directive(name, arguments, options, content, lineno, - content_offset, block_text, state, state_machine): - return run(arguments, content, options, state_machine, state, lineno) -plot_directive.__doc__ = __doc__ - -def _option_boolean(arg): - if not arg or not arg.strip(): - # no argument given, assume used as a flag - return True - elif arg.strip().lower() in ('no', '0', 'false'): - return False - elif arg.strip().lower() in ('yes', '1', 'true'): - return True - else: - raise ValueError('"%s" unknown boolean' % arg) - -def _option_format(arg): - return directives.choice(arg, ('python', 'lisp')) - -def _option_align(arg): - return directives.choice(arg, ("top", "middle", "bottom", "left", "center", - "right")) - -plot_directive_options = {'alt': directives.unchanged, - 'height': directives.length_or_unitless, - 'width': directives.length_or_percentage_or_unitless, - 'scale': directives.nonnegative_int, - 'align': _option_align, - 'class': directives.class_option, - 'include-source': _option_boolean, - 'format': _option_format, - } - -#------------------------------------------------------------------------------ -# Generating output -#------------------------------------------------------------------------------ - -from docutils import nodes, utils - -try: - # Sphinx depends on either Jinja or Jinja2 - import jinja2 - def format_template(template, **kw): - return jinja2.Template(template).render(**kw) -except ImportError: - import jinja - def format_template(template, **kw): - return jinja.from_string(template, **kw) - -TEMPLATE = """ -{{ source_code }} - -{{ only_html }} - - {% if source_link or (html_show_formats and not multi_image) %} - ( - {%- if source_link -%} - `Source code <{{ source_link }}>`__ - {%- endif -%} - {%- if html_show_formats and not multi_image -%} - {%- for img in images -%} - {%- for fmt in img.formats -%} - {%- if source_link or not loop.first -%}, {% endif -%} - `{{ fmt }} <{{ dest_dir }}/{{ img.basename }}.{{ fmt }}>`__ - {%- endfor -%} - {%- endfor -%} - {%- endif -%} - ) - {% endif %} - - {% for img in images %} - .. figure:: {{ build_dir }}/{{ img.basename }}.png - {%- for option in options %} - {{ option }} - {% endfor %} - - {% if html_show_formats and multi_image -%} - ( - {%- for fmt in img.formats -%} - {%- if not loop.first -%}, {% endif -%} - `{{ fmt }} <{{ dest_dir }}/{{ img.basename }}.{{ fmt }}>`__ - {%- endfor -%} - ) - {%- endif -%} - {% endfor %} - -{{ only_latex }} - - {% for img in images %} - .. image:: {{ build_dir }}/{{ img.basename }}.pdf - {% endfor %} - -""" - -class ImageFile(object): - def __init__(self, basename, dirname): - self.basename = basename - self.dirname = dirname - self.formats = [] - - def filename(self, format): - return os.path.join(self.dirname, "%s.%s" % (self.basename, format)) - - def filenames(self): - return [self.filename(fmt) for fmt in self.formats] - -def run(arguments, content, options, state_machine, state, lineno): - if arguments and content: - raise RuntimeError("plot:: directive can't have both args and content") - - document = state_machine.document - config = document.settings.env.config - - options.setdefault('include-source', config.plot_include_source) - - # determine input - rst_file = document.attributes['source'] - rst_dir = os.path.dirname(rst_file) - - if arguments: - if not config.plot_basedir: - source_file_name = os.path.join(rst_dir, - directives.uri(arguments[0])) - else: - source_file_name = os.path.join(setup.confdir, config.plot_basedir, - directives.uri(arguments[0])) - code = open(source_file_name, 'r').read() - output_base = os.path.basename(source_file_name) - else: - source_file_name = rst_file - code = textwrap.dedent("\n".join(map(str, content))) - counter = document.attributes.get('_plot_counter', 0) + 1 - document.attributes['_plot_counter'] = counter - base, ext = os.path.splitext(os.path.basename(source_file_name)) - output_base = '%s-%d.py' % (base, counter) - - base, source_ext = os.path.splitext(output_base) - if source_ext in ('.py', '.rst', '.txt'): - output_base = base - else: - source_ext = '' - - # ensure that LaTeX includegraphics doesn't choke in foo.bar.pdf filenames - output_base = output_base.replace('.', '-') - - # is it in doctest format? - is_doctest = contains_doctest(code) - if 'format' in options: - if options['format'] == 'python': - is_doctest = False - else: - is_doctest = True - - # determine output directory name fragment - source_rel_name = relpath(source_file_name, setup.confdir) - source_rel_dir = os.path.dirname(source_rel_name) - while source_rel_dir.startswith(os.path.sep): - source_rel_dir = source_rel_dir[1:] - - # build_dir: where to place output files (temporarily) - build_dir = os.path.join(os.path.dirname(setup.app.doctreedir), - 'plot_directive', - source_rel_dir) - if not os.path.exists(build_dir): - os.makedirs(build_dir) - - # output_dir: final location in the builder's directory - dest_dir = os.path.abspath(os.path.join(setup.app.builder.outdir, - source_rel_dir)) - - # how to link to files from the RST file - dest_dir_link = os.path.join(relpath(setup.confdir, rst_dir), - source_rel_dir).replace(os.path.sep, '/') - build_dir_link = relpath(build_dir, rst_dir).replace(os.path.sep, '/') - source_link = dest_dir_link + '/' + output_base + source_ext - - # make figures - try: - results = makefig(code, source_file_name, build_dir, output_base, - config) - errors = [] - except PlotError as err: - reporter = state.memo.reporter - sm = reporter.system_message( - 2, "Exception occurred in plotting %s: %s" % (output_base, err), - line=lineno) - results = [(code, [])] - errors = [sm] - - # generate output restructuredtext - total_lines = [] - for j, (code_piece, images) in enumerate(results): - if options['include-source']: - if is_doctest: - lines = [''] - lines += [row.rstrip() for row in code_piece.split('\n')] - else: - lines = ['.. code-block:: python', ''] - lines += [' %s' % row.rstrip() - for row in code_piece.split('\n')] - source_code = "\n".join(lines) - else: - source_code = "" - - opts = [':%s: %s' % (key, val) for key, val in list(options.items()) - if key in ('alt', 'height', 'width', 'scale', 'align', 'class')] - - only_html = ".. only:: html" - only_latex = ".. only:: latex" - - if j == 0: - src_link = source_link - else: - src_link = None - - result = format_template( - TEMPLATE, - dest_dir=dest_dir_link, - build_dir=build_dir_link, - source_link=src_link, - multi_image=len(images) > 1, - only_html=only_html, - only_latex=only_latex, - options=opts, - images=images, - source_code=source_code, - html_show_formats=config.plot_html_show_formats) - - total_lines.extend(result.split("\n")) - total_lines.extend("\n") - - if total_lines: - state_machine.insert_input(total_lines, source=source_file_name) - - # copy image files to builder's output directory - if not os.path.exists(dest_dir): - os.makedirs(dest_dir) - - for code_piece, images in results: - for img in images: - for fn in img.filenames(): - shutil.copyfile(fn, os.path.join(dest_dir, - os.path.basename(fn))) - - # copy script (if necessary) - if source_file_name == rst_file: - target_name = os.path.join(dest_dir, output_base + source_ext) - f = open(target_name, 'w') - f.write(unescape_doctest(code)) - f.close() - - return errors - - -#------------------------------------------------------------------------------ -# Run code and capture figures -#------------------------------------------------------------------------------ - -import matplotlib -matplotlib.use('Agg') -import matplotlib.pyplot as plt -import matplotlib.image as image -from matplotlib import _pylab_helpers - -import exceptions - -def contains_doctest(text): - try: - # check if it's valid Python as-is - compile(text, '', 'exec') - return False - except SyntaxError: - pass - r = re.compile(r'^\s*>>>', re.M) - m = r.search(text) - return bool(m) - -def unescape_doctest(text): - """ - Extract code from a piece of text, which contains either Python code - or doctests. - - """ - if not contains_doctest(text): - return text - - code = "" - for line in text.split("\n"): - m = re.match(r'^\s*(>>>|\.\.\.) (.*)$', line) - if m: - code += m.group(2) + "\n" - elif line.strip(): - code += "# " + line.strip() + "\n" - else: - code += "\n" - return code - -def split_code_at_show(text): - """ - Split code at plt.show() - - """ - - parts = [] - is_doctest = contains_doctest(text) - - part = [] - for line in text.split("\n"): - if (not is_doctest and line.strip() == 'plt.show()') or \ - (is_doctest and line.strip() == '>>> plt.show()'): - part.append(line) - parts.append("\n".join(part)) - part = [] - else: - part.append(line) - if "\n".join(part).strip(): - parts.append("\n".join(part)) - return parts - -class PlotError(RuntimeError): - pass - -def run_code(code, code_path, ns=None): - # Change the working directory to the directory of the example, so - # it can get at its data files, if any. - pwd = os.getcwd() - old_sys_path = list(sys.path) - if code_path is not None: - dirname = os.path.abspath(os.path.dirname(code_path)) - os.chdir(dirname) - sys.path.insert(0, dirname) - - # Redirect stdout - stdout = sys.stdout - sys.stdout = StringIO() - - # Reset sys.argv - old_sys_argv = sys.argv - sys.argv = [code_path] - - try: - try: - code = unescape_doctest(code) - if ns is None: - ns = {} - if not ns: - exec(setup.config.plot_pre_code, ns) - exec(code, ns) - except (Exception, SystemExit) as err: - raise PlotError(traceback.format_exc()) - finally: - os.chdir(pwd) - sys.argv = old_sys_argv - sys.path[:] = old_sys_path - sys.stdout = stdout - return ns - - -#------------------------------------------------------------------------------ -# Generating figures -#------------------------------------------------------------------------------ - -def out_of_date(original, derived): - """ - Returns True if derivative is out-of-date wrt original, - both of which are full file paths. - """ - return (not os.path.exists(derived) - or os.stat(derived).st_mtime < os.stat(original).st_mtime) - - -def makefig(code, code_path, output_dir, output_base, config): - """ - Run a pyplot script *code* and save the images under *output_dir* - with file names derived from *output_base* - - """ - - # -- Parse format list - default_dpi = {'png': 80, 'hires.png': 200, 'pdf': 50} - formats = [] - for fmt in config.plot_formats: - if isinstance(fmt, str): - formats.append((fmt, default_dpi.get(fmt, 80))) - elif type(fmt) in (tuple, list) and len(fmt)==2: - formats.append((str(fmt[0]), int(fmt[1]))) - else: - raise PlotError('invalid image format "%r" in plot_formats' % fmt) - - # -- Try to determine if all images already exist - - code_pieces = split_code_at_show(code) - - # Look for single-figure output files first - all_exists = True - img = ImageFile(output_base, output_dir) - for format, dpi in formats: - if out_of_date(code_path, img.filename(format)): - all_exists = False - break - img.formats.append(format) - - if all_exists: - return [(code, [img])] - - # Then look for multi-figure output files - results = [] - all_exists = True - for i, code_piece in enumerate(code_pieces): - images = [] - for j in range(1000): - img = ImageFile('%s_%02d_%02d' % (output_base, i, j), output_dir) - for format, dpi in formats: - if out_of_date(code_path, img.filename(format)): - all_exists = False - break - img.formats.append(format) - - # assume that if we have one, we have them all - if not all_exists: - all_exists = (j > 0) - break - images.append(img) - if not all_exists: - break - results.append((code_piece, images)) - - if all_exists: - return results - - # -- We didn't find the files, so build them - - results = [] - ns = {} - - for i, code_piece in enumerate(code_pieces): - # Clear between runs - plt.close('all') - - # Run code - run_code(code_piece, code_path, ns) - - # Collect images - images = [] - fig_managers = _pylab_helpers.Gcf.get_all_fig_managers() - for j, figman in enumerate(fig_managers): - if len(fig_managers) == 1 and len(code_pieces) == 1: - img = ImageFile(output_base, output_dir) - else: - img = ImageFile("%s_%02d_%02d" % (output_base, i, j), - output_dir) - images.append(img) - for format, dpi in formats: - try: - figman.canvas.figure.savefig(img.filename(format), dpi=dpi) - except exceptions.BaseException as err: - raise PlotError(traceback.format_exc()) - img.formats.append(format) - - # Results - results.append((code_piece, images)) - - return results - - -#------------------------------------------------------------------------------ -# Relative pathnames -#------------------------------------------------------------------------------ - -try: - from os.path import relpath -except ImportError: - # Copied from Python 2.7 - if 'posix' in sys.builtin_module_names: - def relpath(path, start=os.path.curdir): - """Return a relative version of a path""" - from os.path import sep, curdir, join, abspath, commonprefix, \ - pardir - - if not path: - raise ValueError("no path specified") - - start_list = abspath(start).split(sep) - path_list = abspath(path).split(sep) - - # Work out how much of the filepath is shared by start and path. - i = len(commonprefix([start_list, path_list])) - - rel_list = [pardir] * (len(start_list)-i) + path_list[i:] - if not rel_list: - return curdir - return join(*rel_list) - elif 'nt' in sys.builtin_module_names: - def relpath(path, start=os.path.curdir): - """Return a relative version of a path""" - from os.path import sep, curdir, join, abspath, commonprefix, \ - pardir, splitunc - - if not path: - raise ValueError("no path specified") - start_list = abspath(start).split(sep) - path_list = abspath(path).split(sep) - if start_list[0].lower() != path_list[0].lower(): - unc_path, rest = splitunc(path) - unc_start, rest = splitunc(start) - if bool(unc_path) ^ bool(unc_start): - raise ValueError("Cannot mix UNC and non-UNC paths (%s and %s)" - % (path, start)) - else: - raise ValueError("path is on drive %s, start on drive %s" - % (path_list[0], start_list[0])) - # Work out how much of the filepath is shared by start and path. - for i in range(min(len(start_list), len(path_list))): - if start_list[i].lower() != path_list[i].lower(): - break - else: - i += 1 - - rel_list = [pardir] * (len(start_list)-i) + path_list[i:] - if not rel_list: - return curdir - return join(*rel_list) - else: - raise RuntimeError("Unsupported platform (no relpath available!)") diff --git a/docs/sphinx/sphinxext/numpydoc/tests/test_docscrape.py b/docs/sphinx/sphinxext/numpydoc/tests/test_docscrape.py deleted file mode 100644 index f56478787e..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/tests/test_docscrape.py +++ /dev/null @@ -1,807 +0,0 @@ -# -*- encoding:utf-8 -*- -from __future__ import division, absolute_import, print_function - -import sys, textwrap - -from numpydoc.docscrape import NumpyDocString, FunctionDoc, ClassDoc -from numpydoc.docscrape_sphinx import SphinxDocString, SphinxClassDoc -from nose.tools import * - -if sys.version_info[0] >= 3: - sixu = lambda s: s -else: - sixu = lambda s: unicode(s, 'unicode_escape') - - -doc_txt = '''\ - numpy.multivariate_normal(mean, cov, shape=None, spam=None) - - Draw values from a multivariate normal distribution with specified - mean and covariance. - - The multivariate normal or Gaussian distribution is a generalisation - of the one-dimensional normal distribution to higher dimensions. - - Parameters - ---------- - mean : (N,) ndarray - Mean of the N-dimensional distribution. - - .. math:: - - (1+2+3)/3 - - cov : (N, N) ndarray - Covariance matrix of the distribution. - shape : tuple of ints - Given a shape of, for example, (m,n,k), m*n*k samples are - generated, and packed in an m-by-n-by-k arrangement. Because - each sample is N-dimensional, the output shape is (m,n,k,N). - - Returns - ------- - out : ndarray - The drawn samples, arranged according to `shape`. If the - shape given is (m,n,...), then the shape of `out` is is - (m,n,...,N). - - In other words, each entry ``out[i,j,...,:]`` is an N-dimensional - value drawn from the distribution. - list of str - This is not a real return value. It exists to test - anonymous return values. - - Other Parameters - ---------------- - spam : parrot - A parrot off its mortal coil. - - Raises - ------ - RuntimeError - Some error - - Warns - ----- - RuntimeWarning - Some warning - - Warnings - -------- - Certain warnings apply. - - Notes - ----- - Instead of specifying the full covariance matrix, popular - approximations include: - - - Spherical covariance (`cov` is a multiple of the identity matrix) - - Diagonal covariance (`cov` has non-negative elements only on the diagonal) - - This geometrical property can be seen in two dimensions by plotting - generated data-points: - - >>> mean = [0,0] - >>> cov = [[1,0],[0,100]] # diagonal covariance, points lie on x or y-axis - - >>> x,y = multivariate_normal(mean,cov,5000).T - >>> plt.plot(x,y,'x'); plt.axis('equal'); plt.show() - - Note that the covariance matrix must be symmetric and non-negative - definite. - - References - ---------- - .. [1] A. Papoulis, "Probability, Random Variables, and Stochastic - Processes," 3rd ed., McGraw-Hill Companies, 1991 - .. [2] R.O. Duda, P.E. Hart, and D.G. Stork, "Pattern Classification," - 2nd ed., Wiley, 2001. - - See Also - -------- - some, other, funcs - otherfunc : relationship - - Examples - -------- - >>> mean = (1,2) - >>> cov = [[1,0],[1,0]] - >>> x = multivariate_normal(mean,cov,(3,3)) - >>> print x.shape - (3, 3, 2) - - The following is probably true, given that 0.6 is roughly twice the - standard deviation: - - >>> print list( (x[0,0,:] - mean) < 0.6 ) - [True, True] - - .. index:: random - :refguide: random;distributions, random;gauss - - ''' -doc = NumpyDocString(doc_txt) - - -def test_signature(): - assert doc['Signature'].startswith('numpy.multivariate_normal(') - assert doc['Signature'].endswith('spam=None)') - -def test_summary(): - assert doc['Summary'][0].startswith('Draw values') - assert doc['Summary'][-1].endswith('covariance.') - -def test_extended_summary(): - assert doc['Extended Summary'][0].startswith('The multivariate normal') - -def test_parameters(): - assert_equal(len(doc['Parameters']), 3) - assert_equal([n for n,_,_ in doc['Parameters']], ['mean','cov','shape']) - - arg, arg_type, desc = doc['Parameters'][1] - assert_equal(arg_type, '(N, N) ndarray') - assert desc[0].startswith('Covariance matrix') - assert doc['Parameters'][0][-1][-2] == ' (1+2+3)/3' - -def test_other_parameters(): - assert_equal(len(doc['Other Parameters']), 1) - assert_equal([n for n,_,_ in doc['Other Parameters']], ['spam']) - arg, arg_type, desc = doc['Other Parameters'][0] - assert_equal(arg_type, 'parrot') - assert desc[0].startswith('A parrot off its mortal coil') - -def test_returns(): - assert_equal(len(doc['Returns']), 2) - arg, arg_type, desc = doc['Returns'][0] - assert_equal(arg, 'out') - assert_equal(arg_type, 'ndarray') - assert desc[0].startswith('The drawn samples') - assert desc[-1].endswith('distribution.') - - arg, arg_type, desc = doc['Returns'][1] - assert_equal(arg, 'list of str') - assert_equal(arg_type, '') - assert desc[0].startswith('This is not a real') - assert desc[-1].endswith('anonymous return values.') - -def test_notes(): - assert doc['Notes'][0].startswith('Instead') - assert doc['Notes'][-1].endswith('definite.') - assert_equal(len(doc['Notes']), 17) - -def test_references(): - assert doc['References'][0].startswith('..') - assert doc['References'][-1].endswith('2001.') - -def test_examples(): - assert doc['Examples'][0].startswith('>>>') - assert doc['Examples'][-1].endswith('True]') - -def test_index(): - assert_equal(doc['index']['default'], 'random') - assert_equal(len(doc['index']), 2) - assert_equal(len(doc['index']['refguide']), 2) - -def non_blank_line_by_line_compare(a,b): - a = textwrap.dedent(a) - b = textwrap.dedent(b) - a = [l.rstrip() for l in a.split('\n') if l.strip()] - b = [l.rstrip() for l in b.split('\n') if l.strip()] - for n,line in enumerate(a): - if not line == b[n]: - raise AssertionError("Lines %s of a and b differ: " - "\n>>> %s\n<<< %s\n" % - (n,line,b[n])) -def test_str(): - non_blank_line_by_line_compare(str(doc), -"""numpy.multivariate_normal(mean, cov, shape=None, spam=None) - -Draw values from a multivariate normal distribution with specified -mean and covariance. - -The multivariate normal or Gaussian distribution is a generalisation -of the one-dimensional normal distribution to higher dimensions. - -Parameters ----------- -mean : (N,) ndarray - Mean of the N-dimensional distribution. - - .. math:: - - (1+2+3)/3 - -cov : (N, N) ndarray - Covariance matrix of the distribution. -shape : tuple of ints - Given a shape of, for example, (m,n,k), m*n*k samples are - generated, and packed in an m-by-n-by-k arrangement. Because - each sample is N-dimensional, the output shape is (m,n,k,N). - -Returns -------- -out : ndarray - The drawn samples, arranged according to `shape`. If the - shape given is (m,n,...), then the shape of `out` is is - (m,n,...,N). - - In other words, each entry ``out[i,j,...,:]`` is an N-dimensional - value drawn from the distribution. -list of str - This is not a real return value. It exists to test - anonymous return values. - -Other Parameters ----------------- -spam : parrot - A parrot off its mortal coil. - -Raises ------- -RuntimeError - Some error - -Warns ------ -RuntimeWarning - Some warning - -Warnings --------- -Certain warnings apply. - -See Also --------- -`some`_, `other`_, `funcs`_ - -`otherfunc`_ - relationship - -Notes ------ -Instead of specifying the full covariance matrix, popular -approximations include: - - - Spherical covariance (`cov` is a multiple of the identity matrix) - - Diagonal covariance (`cov` has non-negative elements only on the diagonal) - -This geometrical property can be seen in two dimensions by plotting -generated data-points: - ->>> mean = [0,0] ->>> cov = [[1,0],[0,100]] # diagonal covariance, points lie on x or y-axis - ->>> x,y = multivariate_normal(mean,cov,5000).T ->>> plt.plot(x,y,'x'); plt.axis('equal'); plt.show() - -Note that the covariance matrix must be symmetric and non-negative -definite. - -References ----------- -.. [1] A. Papoulis, "Probability, Random Variables, and Stochastic - Processes," 3rd ed., McGraw-Hill Companies, 1991 -.. [2] R.O. Duda, P.E. Hart, and D.G. Stork, "Pattern Classification," - 2nd ed., Wiley, 2001. - -Examples --------- ->>> mean = (1,2) ->>> cov = [[1,0],[1,0]] ->>> x = multivariate_normal(mean,cov,(3,3)) ->>> print x.shape -(3, 3, 2) - -The following is probably true, given that 0.6 is roughly twice the -standard deviation: - ->>> print list( (x[0,0,:] - mean) < 0.6 ) -[True, True] - -.. index:: random - :refguide: random;distributions, random;gauss""") - - -def test_sphinx_str(): - sphinx_doc = SphinxDocString(doc_txt) - non_blank_line_by_line_compare(str(sphinx_doc), -""" -.. index:: random - single: random;distributions, random;gauss - -Draw values from a multivariate normal distribution with specified -mean and covariance. - -The multivariate normal or Gaussian distribution is a generalisation -of the one-dimensional normal distribution to higher dimensions. - -:Parameters: - - **mean** : (N,) ndarray - - Mean of the N-dimensional distribution. - - .. math:: - - (1+2+3)/3 - - **cov** : (N, N) ndarray - - Covariance matrix of the distribution. - - **shape** : tuple of ints - - Given a shape of, for example, (m,n,k), m*n*k samples are - generated, and packed in an m-by-n-by-k arrangement. Because - each sample is N-dimensional, the output shape is (m,n,k,N). - -:Returns: - - **out** : ndarray - - The drawn samples, arranged according to `shape`. If the - shape given is (m,n,...), then the shape of `out` is is - (m,n,...,N). - - In other words, each entry ``out[i,j,...,:]`` is an N-dimensional - value drawn from the distribution. - - list of str - - This is not a real return value. It exists to test - anonymous return values. - -:Other Parameters: - - **spam** : parrot - - A parrot off its mortal coil. - -:Raises: - - **RuntimeError** - - Some error - -:Warns: - - **RuntimeWarning** - - Some warning - -.. warning:: - - Certain warnings apply. - -.. seealso:: - - :obj:`some`, :obj:`other`, :obj:`funcs` - - :obj:`otherfunc` - relationship - -.. rubric:: Notes - -Instead of specifying the full covariance matrix, popular -approximations include: - - - Spherical covariance (`cov` is a multiple of the identity matrix) - - Diagonal covariance (`cov` has non-negative elements only on the diagonal) - -This geometrical property can be seen in two dimensions by plotting -generated data-points: - ->>> mean = [0,0] ->>> cov = [[1,0],[0,100]] # diagonal covariance, points lie on x or y-axis - ->>> x,y = multivariate_normal(mean,cov,5000).T ->>> plt.plot(x,y,'x'); plt.axis('equal'); plt.show() - -Note that the covariance matrix must be symmetric and non-negative -definite. - -.. rubric:: References - -.. [1] A. Papoulis, "Probability, Random Variables, and Stochastic - Processes," 3rd ed., McGraw-Hill Companies, 1991 -.. [2] R.O. Duda, P.E. Hart, and D.G. Stork, "Pattern Classification," - 2nd ed., Wiley, 2001. - -.. only:: latex - - [1]_, [2]_ - -.. rubric:: Examples - ->>> mean = (1,2) ->>> cov = [[1,0],[1,0]] ->>> x = multivariate_normal(mean,cov,(3,3)) ->>> print x.shape -(3, 3, 2) - -The following is probably true, given that 0.6 is roughly twice the -standard deviation: - ->>> print list( (x[0,0,:] - mean) < 0.6 ) -[True, True] -""") - - -doc2 = NumpyDocString(""" - Returns array of indices of the maximum values of along the given axis. - - Parameters - ---------- - a : {array_like} - Array to look in. - axis : {None, integer} - If None, the index is into the flattened array, otherwise along - the specified axis""") - -def test_parameters_without_extended_description(): - assert_equal(len(doc2['Parameters']), 2) - -doc3 = NumpyDocString(""" - my_signature(*params, **kwds) - - Return this and that. - """) - -def test_escape_stars(): - signature = str(doc3).split('\n')[0] - assert_equal(signature, 'my_signature(\*params, \*\*kwds)') - -doc4 = NumpyDocString( - """a.conj() - - Return an array with all complex-valued elements conjugated.""") - -def test_empty_extended_summary(): - assert_equal(doc4['Extended Summary'], []) - -doc5 = NumpyDocString( - """ - a.something() - - Raises - ------ - LinAlgException - If array is singular. - - Warns - ----- - SomeWarning - If needed - """) - -def test_raises(): - assert_equal(len(doc5['Raises']), 1) - name,_,desc = doc5['Raises'][0] - assert_equal(name,'LinAlgException') - assert_equal(desc,['If array is singular.']) - -def test_warns(): - assert_equal(len(doc5['Warns']), 1) - name,_,desc = doc5['Warns'][0] - assert_equal(name,'SomeWarning') - assert_equal(desc,['If needed']) - -def test_see_also(): - doc6 = NumpyDocString( - """ - z(x,theta) - - See Also - -------- - func_a, func_b, func_c - func_d : some equivalent func - foo.func_e : some other func over - multiple lines - func_f, func_g, :meth:`func_h`, func_j, - func_k - :obj:`baz.obj_q` - :class:`class_j`: fubar - foobar - """) - - assert len(doc6['See Also']) == 12 - for func, desc, role in doc6['See Also']: - if func in ('func_a', 'func_b', 'func_c', 'func_f', - 'func_g', 'func_h', 'func_j', 'func_k', 'baz.obj_q'): - assert(not desc) - else: - assert(desc) - - if func == 'func_h': - assert role == 'meth' - elif func == 'baz.obj_q': - assert role == 'obj' - elif func == 'class_j': - assert role == 'class' - else: - assert role is None - - if func == 'func_d': - assert desc == ['some equivalent func'] - elif func == 'foo.func_e': - assert desc == ['some other func over', 'multiple lines'] - elif func == 'class_j': - assert desc == ['fubar', 'foobar'] - -def test_see_also_print(): - class Dummy(object): - """ - See Also - -------- - func_a, func_b - func_c : some relationship - goes here - func_d - """ - pass - - obj = Dummy() - s = str(FunctionDoc(obj, role='func')) - assert(':func:`func_a`, :func:`func_b`' in s) - assert(' some relationship' in s) - assert(':func:`func_d`' in s) - -doc7 = NumpyDocString(""" - - Doc starts on second line. - - """) - -def test_empty_first_line(): - assert doc7['Summary'][0].startswith('Doc starts') - - -def test_no_summary(): - str(SphinxDocString(""" - Parameters - ----------""")) - - -def test_unicode(): - doc = SphinxDocString(""" - öäöäöäöäöåååå - - öäöäöäööäååå - - Parameters - ---------- - ååå : äää - ööö - - Returns - ------- - ååå : ööö - äää - - """) - assert isinstance(doc['Summary'][0], str) - assert doc['Summary'][0] == 'öäöäöäöäöåååå' - -def test_plot_examples(): - cfg = dict(use_plots=True) - - doc = SphinxDocString(""" - Examples - -------- - >>> import matplotlib.pyplot as plt - >>> plt.plot([1,2,3],[4,5,6]) - >>> plt.show() - """, config=cfg) - assert 'plot::' in str(doc), str(doc) - - doc = SphinxDocString(""" - Examples - -------- - .. plot:: - - import matplotlib.pyplot as plt - plt.plot([1,2,3],[4,5,6]) - plt.show() - """, config=cfg) - assert str(doc).count('plot::') == 1, str(doc) - -def test_class_members(): - - class Dummy(object): - """ - Dummy class. - - """ - def spam(self, a, b): - """Spam\n\nSpam spam.""" - pass - def ham(self, c, d): - """Cheese\n\nNo cheese.""" - pass - @property - def spammity(self): - """Spammity index""" - return 0.95 - - class Ignorable(object): - """local class, to be ignored""" - pass - - for cls in (ClassDoc, SphinxClassDoc): - doc = cls(Dummy, config=dict(show_class_members=False)) - assert 'Methods' not in str(doc), (cls, str(doc)) - assert 'spam' not in str(doc), (cls, str(doc)) - assert 'ham' not in str(doc), (cls, str(doc)) - assert 'spammity' not in str(doc), (cls, str(doc)) - assert 'Spammity index' not in str(doc), (cls, str(doc)) - - doc = cls(Dummy, config=dict(show_class_members=True)) - assert 'Methods' in str(doc), (cls, str(doc)) - assert 'spam' in str(doc), (cls, str(doc)) - assert 'ham' in str(doc), (cls, str(doc)) - assert 'spammity' in str(doc), (cls, str(doc)) - - if cls is SphinxClassDoc: - assert '.. autosummary::' in str(doc), str(doc) - else: - assert 'Spammity index' in str(doc), str(doc) - - class SubDummy(Dummy): - """ - Subclass of Dummy class. - - """ - def ham(self, c, d): - """Cheese\n\nNo cheese.\nOverloaded Dummy.ham""" - pass - - def bar(self, a, b): - """Bar\n\nNo bar""" - pass - - for cls in (ClassDoc, SphinxClassDoc): - doc = cls(SubDummy, config=dict(show_class_members=True, - show_inherited_class_members=False)) - assert 'Methods' in str(doc), (cls, str(doc)) - assert 'spam' not in str(doc), (cls, str(doc)) - assert 'ham' in str(doc), (cls, str(doc)) - assert 'bar' in str(doc), (cls, str(doc)) - assert 'spammity' not in str(doc), (cls, str(doc)) - - if cls is SphinxClassDoc: - assert '.. autosummary::' in str(doc), str(doc) - else: - assert 'Spammity index' not in str(doc), str(doc) - - doc = cls(SubDummy, config=dict(show_class_members=True, - show_inherited_class_members=True)) - assert 'Methods' in str(doc), (cls, str(doc)) - assert 'spam' in str(doc), (cls, str(doc)) - assert 'ham' in str(doc), (cls, str(doc)) - assert 'bar' in str(doc), (cls, str(doc)) - assert 'spammity' in str(doc), (cls, str(doc)) - - if cls is SphinxClassDoc: - assert '.. autosummary::' in str(doc), str(doc) - else: - assert 'Spammity index' in str(doc), str(doc) - -def test_duplicate_signature(): - # Duplicate function signatures occur e.g. in ufuncs, when the - # automatic mechanism adds one, and a more detailed comes from the - # docstring itself. - - doc = NumpyDocString( - """ - z(x1, x2) - - z(a, theta) - """) - - assert doc['Signature'].strip() == 'z(a, theta)' - - -class_doc_txt = """ - Foo - - Parameters - ---------- - f : callable ``f(t, y, *f_args)`` - Aaa. - jac : callable ``jac(t, y, *jac_args)`` - Bbb. - - Attributes - ---------- - t : float - Current time. - y : ndarray - Current variable values. - - Methods - ------- - a - b - c - - Examples - -------- - For usage examples, see `ode`. -""" - -def test_class_members_doc(): - doc = ClassDoc(None, class_doc_txt) - non_blank_line_by_line_compare(str(doc), - """ - Foo - - Parameters - ---------- - f : callable ``f(t, y, *f_args)`` - Aaa. - jac : callable ``jac(t, y, *jac_args)`` - Bbb. - - Examples - -------- - For usage examples, see `ode`. - - Attributes - ---------- - t : float - Current time. - y : ndarray - Current variable values. - - Methods - ------- - a - - b - - c - - .. index:: - - """) - -def test_class_members_doc_sphinx(): - doc = SphinxClassDoc(None, class_doc_txt) - non_blank_line_by_line_compare(str(doc), - """ - Foo - - :Parameters: - - **f** : callable ``f(t, y, *f_args)`` - - Aaa. - - **jac** : callable ``jac(t, y, *jac_args)`` - - Bbb. - - .. rubric:: Examples - - For usage examples, see `ode`. - - .. rubric:: Attributes - - === ========== - t (float) Current time. - y (ndarray) Current variable values. - === ========== - - .. rubric:: Methods - - === ========== - a - b - c - === ========== - - """) - -if __name__ == "__main__": - import nose - nose.run() diff --git a/docs/sphinx/sphinxext/numpydoc/tests/test_linkcode.py b/docs/sphinx/sphinxext/numpydoc/tests/test_linkcode.py deleted file mode 100644 index 340166a485..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/tests/test_linkcode.py +++ /dev/null @@ -1,5 +0,0 @@ -from __future__ import division, absolute_import, print_function - -import numpydoc.linkcode - -# No tests at the moment... diff --git a/docs/sphinx/sphinxext/numpydoc/tests/test_phantom_import.py b/docs/sphinx/sphinxext/numpydoc/tests/test_phantom_import.py deleted file mode 100644 index 80fae08f4e..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/tests/test_phantom_import.py +++ /dev/null @@ -1,12 +0,0 @@ -from __future__ import division, absolute_import, print_function - -import sys -from nose import SkipTest - -def test_import(): - if sys.version_info[0] >= 3: - raise SkipTest("phantom_import not ported to Py3") - - import numpydoc.phantom_import - -# No tests at the moment... diff --git a/docs/sphinx/sphinxext/numpydoc/tests/test_plot_directive.py b/docs/sphinx/sphinxext/numpydoc/tests/test_plot_directive.py deleted file mode 100644 index 1ea1076947..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/tests/test_plot_directive.py +++ /dev/null @@ -1,11 +0,0 @@ -from __future__ import division, absolute_import, print_function - -import sys -from nose import SkipTest - -def test_import(): - if sys.version_info[0] >= 3: - raise SkipTest("plot_directive not ported to Python 3 (use the one from Matplotlib instead)") - import numpydoc.plot_directive - -# No tests at the moment... diff --git a/docs/sphinx/sphinxext/numpydoc/tests/test_traitsdoc.py b/docs/sphinx/sphinxext/numpydoc/tests/test_traitsdoc.py deleted file mode 100644 index fe5078c496..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/tests/test_traitsdoc.py +++ /dev/null @@ -1,11 +0,0 @@ -from __future__ import division, absolute_import, print_function - -import sys -from nose import SkipTest - -def test_import(): - if sys.version_info[0] >= 3: - raise SkipTest("traitsdoc not ported to Python3") - import numpydoc.traitsdoc - -# No tests at the moment... diff --git a/docs/sphinx/sphinxext/numpydoc/traitsdoc.py b/docs/sphinx/sphinxext/numpydoc/traitsdoc.py deleted file mode 100644 index 596c54eb38..0000000000 --- a/docs/sphinx/sphinxext/numpydoc/traitsdoc.py +++ /dev/null @@ -1,142 +0,0 @@ -""" -========= -traitsdoc -========= - -Sphinx extension that handles docstrings in the Numpy standard format, [1] -and support Traits [2]. - -This extension can be used as a replacement for ``numpydoc`` when support -for Traits is required. - -.. [1] http://projects.scipy.org/numpy/wiki/CodingStyleGuidelines#docstring-standard -.. [2] http://code.enthought.com/projects/traits/ - -""" -from __future__ import division, absolute_import, print_function - -import inspect -import os -import pydoc -import collections - -from . import docscrape -from . import docscrape_sphinx -from .docscrape_sphinx import SphinxClassDoc, SphinxFunctionDoc, SphinxDocString - -from . import numpydoc - -from . import comment_eater - -class SphinxTraitsDoc(SphinxClassDoc): - def __init__(self, cls, modulename='', func_doc=SphinxFunctionDoc): - if not inspect.isclass(cls): - raise ValueError("Initialise using a class. Got %r" % cls) - self._cls = cls - - if modulename and not modulename.endswith('.'): - modulename += '.' - self._mod = modulename - self._name = cls.__name__ - self._func_doc = func_doc - - docstring = pydoc.getdoc(cls) - docstring = docstring.split('\n') - - # De-indent paragraph - try: - indent = min(len(s) - len(s.lstrip()) for s in docstring - if s.strip()) - except ValueError: - indent = 0 - - for n,line in enumerate(docstring): - docstring[n] = docstring[n][indent:] - - self._doc = docscrape.Reader(docstring) - self._parsed_data = { - 'Signature': '', - 'Summary': '', - 'Description': [], - 'Extended Summary': [], - 'Parameters': [], - 'Returns': [], - 'Raises': [], - 'Warns': [], - 'Other Parameters': [], - 'Traits': [], - 'Methods': [], - 'See Also': [], - 'Notes': [], - 'References': '', - 'Example': '', - 'Examples': '', - 'index': {} - } - - self._parse() - - def _str_summary(self): - return self['Summary'] + [''] - - def _str_extended_summary(self): - return self['Description'] + self['Extended Summary'] + [''] - - def __str__(self, indent=0, func_role="func"): - out = [] - out += self._str_signature() - out += self._str_index() + [''] - out += self._str_summary() - out += self._str_extended_summary() - for param_list in ('Parameters', 'Traits', 'Methods', - 'Returns','Raises'): - out += self._str_param_list(param_list) - out += self._str_see_also("obj") - out += self._str_section('Notes') - out += self._str_references() - out += self._str_section('Example') - out += self._str_section('Examples') - out = self._str_indent(out,indent) - return '\n'.join(out) - -def looks_like_issubclass(obj, classname): - """ Return True if the object has a class or superclass with the given class - name. - - Ignores old-style classes. - """ - t = obj - if t.__name__ == classname: - return True - for klass in t.__mro__: - if klass.__name__ == classname: - return True - return False - -def get_doc_object(obj, what=None, config=None): - if what is None: - if inspect.isclass(obj): - what = 'class' - elif inspect.ismodule(obj): - what = 'module' - elif isinstance(obj, collections.Callable): - what = 'function' - else: - what = 'object' - if what == 'class': - doc = SphinxTraitsDoc(obj, '', func_doc=SphinxFunctionDoc, config=config) - if looks_like_issubclass(obj, 'HasTraits'): - for name, trait, comment in comment_eater.get_class_traits(obj): - # Exclude private traits. - if not name.startswith('_'): - doc['Traits'].append((name, trait, comment.splitlines())) - return doc - elif what in ('function', 'method'): - return SphinxFunctionDoc(obj, '', config=config) - else: - return SphinxDocString(pydoc.getdoc(obj), config=config) - -def setup(app): - # init numpydoc - numpydoc.setup(app, get_doc_object) - From 56a5cdd2f0f5b0bc6ef01637b999dbbd61004c63 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 17:27:35 -0700 Subject: [PATCH 32/88] try adding a simple plot with ipython directives --- docs/environment.yml | 1 + pvlib/irradiance.py | 13 +++++++++++++ 2 files changed, 14 insertions(+) diff --git a/docs/environment.yml b/docs/environment.yml index f0ffb18704..ca06545e2d 100644 --- a/docs/environment.yml +++ b/docs/environment.yml @@ -10,4 +10,5 @@ dependencies: - ipython - sphinx - numpydoc + - matplotlib - seaborn \ No newline at end of file diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index 0d0e7d5ad4..f016d2c083 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -87,6 +87,19 @@ def extraradiation(datetime_or_doy, solar_constant=1366.1, method='spencer'): See Also -------- pvlib.clearsky.disc + + Examples + -------- + .. ipython:: + In [1]: times = pd.date_range('2014-01-01', '2015-01-01', freq='1D') + In [2]: spencer = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer'), times) + asce = pd.Series(pvlib.irradiance.extraradiation(times, method='asce'), times) + ephem = pvlib.irradiance.extraradiation(times, method='pyephem') # approx 100x slower than the above. + In [3]: spencer.plot(label='spencer') + asce.plot(label='asce') + ephem.plot(label='pyephem') + plt.legend() + plt.ylabel('Extraterrestrial radiation (W/m^2)') """ pvl_logger.debug('irradiance.extraradiation()') From 862e2dd8038594eba60c7661ed8d7321ac5a5294 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 17:33:43 -0700 Subject: [PATCH 33/88] add ipython directives to conf.py --- docs/sphinx/source/conf.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index 6812c5976b..3c0dc3ff36 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -50,7 +50,9 @@ def __getattr__(cls, name): 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'numpydoc', - 'sphinx.ext.autosummary' + 'sphinx.ext.autosummary', + 'IPython.sphinxext.ipython_directive', + 'IPython.sphinxext.ipython_console_highlighting', ] # Add any paths that contain templates here, relative to this directory. From a52e7c381cb134a5a3a881d499633e04d62b3f5a Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 17:43:21 -0700 Subject: [PATCH 34/88] remove line numbers from ipython directives --- pvlib/irradiance.py | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index f016d2c083..38283edd66 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -91,15 +91,16 @@ def extraradiation(datetime_or_doy, solar_constant=1366.1, method='spencer'): Examples -------- .. ipython:: - In [1]: times = pd.date_range('2014-01-01', '2015-01-01', freq='1D') - In [2]: spencer = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer'), times) - asce = pd.Series(pvlib.irradiance.extraradiation(times, method='asce'), times) - ephem = pvlib.irradiance.extraradiation(times, method='pyephem') # approx 100x slower than the above. - In [3]: spencer.plot(label='spencer') - asce.plot(label='asce') - ephem.plot(label='pyephem') - plt.legend() - plt.ylabel('Extraterrestrial radiation (W/m^2)') + times = pd.date_range('2014-01-01', '2015-01-01', freq='1D') + spencer = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer'), times) + asce = pd.Series(pvlib.irradiance.extraradiation(times, method='asce'), times) + ephem = pvlib.irradiance.extraradiation(times, method='pyephem') # approx 100x slower than the above. + spencer.plot(label='spencer') + asce.plot(label='asce') + ephem.plot(label='pyephem') + plt.legend() + @savefig extraradiation.png width=4in + plt.ylabel('Extraterrestrial radiation (W/m^2)') """ pvl_logger.debug('irradiance.extraradiation()') From 663ac8b1b7ecdc92afab8f733da399cd53509914 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 17:45:44 -0700 Subject: [PATCH 35/88] add blank line --- pvlib/irradiance.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index 38283edd66..f522d88fd3 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -91,6 +91,7 @@ def extraradiation(datetime_or_doy, solar_constant=1366.1, method='spencer'): Examples -------- .. ipython:: + times = pd.date_range('2014-01-01', '2015-01-01', freq='1D') spencer = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer'), times) asce = pd.Series(pvlib.irradiance.extraradiation(times, method='asce'), times) From 7d6bd96db2f0c5c469a1e331bf7f6e5bd274a172 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 17:50:25 -0700 Subject: [PATCH 36/88] add imports --- pvlib/irradiance.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index f522d88fd3..a343baa371 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -3,6 +3,13 @@ global horizontal irradiance, direct normal irradiance, diffuse horizontal irradiance, and total irradiance under various conditions. + +.. ipython:: python + :suppress: + + import numpy as np + import pandas as pd + import matplotlib.pyplot as plt """ from __future__ import division From dc4e7e7245cb71acfc8c4e7746d8b41b32615183 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 18:01:02 -0700 Subject: [PATCH 37/88] remove mocks --- docs/sphinx/source/conf.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index 3c0dc3ff36..24d41deb6a 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -26,8 +26,7 @@ class Mock(MagicMock): def __getattr__(cls, name): return Mock() -MOCK_MODULES = ['scipy', 'scipy.io', 'numpy', 'ephem', 'pandas', - 'pvlib.spa_c_files.spa_py', 'dateutil'] +MOCK_MODULES = [] sys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES) # If extensions (or modules to document with autodoc) are in another directory, From 70bf476ab0b91ad551e14ba3a51ee93724606a30 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 18:11:24 -0700 Subject: [PATCH 38/88] remove sphinxext --- docs/sphinx/sphinxext/README.rst | 11 - .../sphinxext/ipython_console_highlighting.py | 27 - docs/sphinx/sphinxext/ipython_directive.py | 1154 ----------------- 3 files changed, 1192 deletions(-) delete mode 100644 docs/sphinx/sphinxext/README.rst delete mode 100644 docs/sphinx/sphinxext/ipython_console_highlighting.py delete mode 100644 docs/sphinx/sphinxext/ipython_directive.py diff --git a/docs/sphinx/sphinxext/README.rst b/docs/sphinx/sphinxext/README.rst deleted file mode 100644 index da929132c0..0000000000 --- a/docs/sphinx/sphinxext/README.rst +++ /dev/null @@ -1,11 +0,0 @@ -sphinxext -========= - -This directory contains copies of sphinx extensions that might be used in -the pvlib documentation. These extensions are: - -- ``numpydoc`` - Numpy's Sphinx extensions that allow for more readable - docstrings. Found at https://github.com/numpy/numpydoc -- ``ipython_directive`` and ``ipython_console_highlighting`` - IPython - Sphinx extensions that can embed IPython code and highlight IPython. - Found at https://github.com/ipython/ipython/tree/master/IPython/sphinxext \ No newline at end of file diff --git a/docs/sphinx/sphinxext/ipython_console_highlighting.py b/docs/sphinx/sphinxext/ipython_console_highlighting.py deleted file mode 100644 index c385fb6873..0000000000 --- a/docs/sphinx/sphinxext/ipython_console_highlighting.py +++ /dev/null @@ -1,27 +0,0 @@ -""" -reST directive for syntax-highlighting ipython interactive sessions. - -""" - -from sphinx import highlighting -from ..nbconvert.utils.lexers import IPyLexer - -def setup(app): - """Setup as a sphinx extension.""" - - # This is only a lexer, so adding it below to pygments appears sufficient. - # But if somebody knows what the right API usage should be to do that via - # sphinx, by all means fix it here. At least having this setup.py - # suppresses the sphinx warning we'd get without it. - pass - -# Register the extension as a valid pygments lexer. -# Alternatively, we could register the lexer with pygments instead. This would -# require using setuptools entrypoints: http://pygments.org/docs/plugins - -ipy2 = IPyLexer(python3=False) -ipy3 = IPyLexer(python3=True) - -highlighting.lexers['ipython'] = ipy2 -highlighting.lexers['ipython2'] = ipy2 -highlighting.lexers['ipython3'] = ipy3 diff --git a/docs/sphinx/sphinxext/ipython_directive.py b/docs/sphinx/sphinxext/ipython_directive.py deleted file mode 100644 index 94af7e78c0..0000000000 --- a/docs/sphinx/sphinxext/ipython_directive.py +++ /dev/null @@ -1,1154 +0,0 @@ -# -*- coding: utf-8 -*- -""" -Sphinx directive to support embedded IPython code. - -This directive allows pasting of entire interactive IPython sessions, prompts -and all, and their code will actually get re-executed at doc build time, with -all prompts renumbered sequentially. It also allows you to input code as a pure -python input by giving the argument python to the directive. The output looks -like an interactive ipython section. - -To enable this directive, simply list it in your Sphinx ``conf.py`` file -(making sure the directory where you placed it is visible to sphinx, as is -needed for all Sphinx directives). For example, to enable syntax highlighting -and the IPython directive:: - - extensions = ['IPython.sphinxext.ipython_console_highlighting', - 'IPython.sphinxext.ipython_directive'] - -The IPython directive outputs code-blocks with the language 'ipython'. So -if you do not have the syntax highlighting extension enabled as well, then -all rendered code-blocks will be uncolored. By default this directive assumes -that your prompts are unchanged IPython ones, but this can be customized. -The configurable options that can be placed in conf.py are: - -ipython_savefig_dir: - The directory in which to save the figures. This is relative to the - Sphinx source directory. The default is `html_static_path`. -ipython_rgxin: - The compiled regular expression to denote the start of IPython input - lines. The default is re.compile('In \[(\d+)\]:\s?(.*)\s*'). You - shouldn't need to change this. -ipython_rgxout: - The compiled regular expression to denote the start of IPython output - lines. The default is re.compile('Out\[(\d+)\]:\s?(.*)\s*'). You - shouldn't need to change this. -ipython_promptin: - The string to represent the IPython input prompt in the generated ReST. - The default is 'In [%d]:'. This expects that the line numbers are used - in the prompt. -ipython_promptout: - The string to represent the IPython prompt in the generated ReST. The - default is 'Out [%d]:'. This expects that the line numbers are used - in the prompt. -ipython_mplbackend: - The string which specifies if the embedded Sphinx shell should import - Matplotlib and set the backend. The value specifies a backend that is - passed to `matplotlib.use()` before any lines in `ipython_execlines` are - executed. If not specified in conf.py, then the default value of 'agg' is - used. To use the IPython directive without matplotlib as a dependency, set - the value to `None`. It may end up that matplotlib is still imported - if the user specifies so in `ipython_execlines` or makes use of the - @savefig pseudo decorator. -ipython_execlines: - A list of strings to be exec'd in the embedded Sphinx shell. Typical - usage is to make certain packages always available. Set this to an empty - list if you wish to have no imports always available. If specified in - conf.py as `None`, then it has the effect of making no imports available. - If omitted from conf.py altogether, then the default value of - ['import numpy as np', 'import matplotlib.pyplot as plt'] is used. -ipython_holdcount - When the @suppress pseudo-decorator is used, the execution count can be - incremented or not. The default behavior is to hold the execution count, - corresponding to a value of `True`. Set this to `False` to increment - the execution count after each suppressed command. - -As an example, to use the IPython directive when `matplotlib` is not available, -one sets the backend to `None`:: - - ipython_mplbackend = None - -An example usage of the directive is: - -.. code-block:: rst - - .. ipython:: - - In [1]: x = 1 - - In [2]: y = x**2 - - In [3]: print(y) - -See http://matplotlib.org/sampledoc/ipython_directive.html for additional -documentation. - -Pseudo-Decorators -================= - -Note: Only one decorator is supported per input. If more than one decorator -is specified, then only the last one is used. - -In addition to the Pseudo-Decorators/options described at the above link, -several enhancements have been made. The directive will emit a message to the -console at build-time if code-execution resulted in an exception or warning. -You can suppress these on a per-block basis by specifying the :okexcept: -or :okwarning: options: - -.. code-block:: rst - - .. ipython:: - :okexcept: - :okwarning: - - In [1]: 1/0 - In [2]: # raise warning. - -ToDo ----- - -- Turn the ad-hoc test() function into a real test suite. -- Break up ipython-specific functionality from matplotlib stuff into better - separated code. - -Authors -------- - -- John D Hunter: orignal author. -- Fernando Perez: refactoring, documentation, cleanups, port to 0.11. -- VáclavŠmilauer : Prompt generalizations. -- Skipper Seabold, refactoring, cleanups, pure python addition -""" -from __future__ import print_function - -#----------------------------------------------------------------------------- -# Imports -#----------------------------------------------------------------------------- - -# Stdlib -import os -import re -import sys -import tempfile -import ast -import warnings - -# To keep compatibility with various python versions -try: - from hashlib import md5 -except ImportError: - from md5 import md5 - -# Third-party -import sphinx -from docutils.parsers.rst import directives -from docutils import nodes -from sphinx.util.compat import Directive - -# Our own -from IPython import Config, InteractiveShell -from IPython.core.profiledir import ProfileDir -from IPython.utils import io -from IPython.utils.py3compat import PY3 - -if PY3: - from io import StringIO -else: - from StringIO import StringIO - -#----------------------------------------------------------------------------- -# Globals -#----------------------------------------------------------------------------- -# for tokenizing blocks -COMMENT, INPUT, OUTPUT = range(3) - -#----------------------------------------------------------------------------- -# Functions and class declarations -#----------------------------------------------------------------------------- - -def block_parser(part, rgxin, rgxout, fmtin, fmtout): - """ - part is a string of ipython text, comprised of at most one - input, one ouput, comments, and blank lines. The block parser - parses the text into a list of:: - - blocks = [ (TOKEN0, data0), (TOKEN1, data1), ...] - - where TOKEN is one of [COMMENT | INPUT | OUTPUT ] and - data is, depending on the type of token:: - - COMMENT : the comment string - - INPUT: the (DECORATOR, INPUT_LINE, REST) where - DECORATOR: the input decorator (or None) - INPUT_LINE: the input as string (possibly multi-line) - REST : any stdout generated by the input line (not OUTPUT) - - OUTPUT: the output string, possibly multi-line - - """ - block = [] - lines = part.split('\n') - N = len(lines) - i = 0 - decorator = None - while 1: - - if i==N: - # nothing left to parse -- the last line - break - - line = lines[i] - i += 1 - line_stripped = line.strip() - if line_stripped.startswith('#'): - block.append((COMMENT, line)) - continue - - if line_stripped.startswith('@'): - # Here is where we assume there is, at most, one decorator. - # Might need to rethink this. - decorator = line_stripped - continue - - # does this look like an input line? - matchin = rgxin.match(line) - if matchin: - lineno, inputline = int(matchin.group(1)), matchin.group(2) - - # the ....: continuation string - continuation = ' %s:'%''.join(['.']*(len(str(lineno))+2)) - Nc = len(continuation) - # input lines can continue on for more than one line, if - # we have a '\' line continuation char or a function call - # echo line 'print'. The input line can only be - # terminated by the end of the block or an output line, so - # we parse out the rest of the input line if it is - # multiline as well as any echo text - - rest = [] - while i 1: - if input_lines[-1] != "": - input_lines.append('') # make sure there's a blank line - # so splitter buffer gets reset - - continuation = ' %s:'%''.join(['.']*(len(str(lineno))+2)) - - if is_savefig: - image_file, image_directive = self.process_image(decorator) - - ret = [] - is_semicolon = False - - # Hold the execution count, if requested to do so. - if is_suppress and self.hold_count: - store_history = False - else: - store_history = True - - # Note: catch_warnings is not thread safe - with warnings.catch_warnings(record=True) as ws: - for i, line in enumerate(input_lines): - if line.endswith(';'): - is_semicolon = True - - if i == 0: - # process the first input line - if is_verbatim: - self.process_input_line('') - self.IP.execution_count += 1 # increment it anyway - else: - # only submit the line in non-verbatim mode - self.process_input_line(line, store_history=store_history) - formatted_line = '%s %s'%(input_prompt, line) - else: - # process a continuation line - if not is_verbatim: - self.process_input_line(line, store_history=store_history) - - formatted_line = '%s %s'%(continuation, line) - - if not is_suppress: - ret.append(formatted_line) - - if not is_suppress and len(rest.strip()) and is_verbatim: - # The "rest" is the standard output of the input. This needs to be - # added when in verbatim mode. If there is no "rest", then we don't - # add it, as the new line will be added by the processed output. - ret.append(rest) - - # Fetch the processed output. (This is not the submitted output.) - self.cout.seek(0) - processed_output = self.cout.read() - if not is_suppress and not is_semicolon: - # - # In IPythonDirective.run, the elements of `ret` are eventually - # combined such that '' entries correspond to newlines. So if - # `processed_output` is equal to '', then the adding it to `ret` - # ensures that there is a blank line between consecutive inputs - # that have no outputs, as in: - # - # In [1]: x = 4 - # - # In [2]: x = 5 - # - # When there is processed output, it has a '\n' at the tail end. So - # adding the output to `ret` will provide the necessary spacing - # between consecutive input/output blocks, as in: - # - # In [1]: x - # Out[1]: 5 - # - # In [2]: x - # Out[2]: 5 - # - # When there is stdout from the input, it also has a '\n' at the - # tail end, and so this ensures proper spacing as well. E.g.: - # - # In [1]: print x - # 5 - # - # In [2]: x = 5 - # - # When in verbatim mode, `processed_output` is empty (because - # nothing was passed to IP. Sometimes the submitted code block has - # an Out[] portion and sometimes it does not. When it does not, we - # need to ensure proper spacing, so we have to add '' to `ret`. - # However, if there is an Out[] in the submitted code, then we do - # not want to add a newline as `process_output` has stuff to add. - # The difficulty is that `process_input` doesn't know if - # `process_output` will be called---so it doesn't know if there is - # Out[] in the code block. The requires that we include a hack in - # `process_block`. See the comments there. - # - ret.append(processed_output) - elif is_semicolon: - # Make sure there is a newline after the semicolon. - ret.append('') - - # context information - filename = "Unknown" - lineno = 0 - if self.directive.state: - filename = self.directive.state.document.current_source - lineno = self.directive.state.document.current_line - - # output any exceptions raised during execution to stdout - # unless :okexcept: has been specified. - if not is_okexcept and "Traceback" in processed_output: - s = "\nException in %s at block ending on line %s\n" % (filename, lineno) - s += "Specify :okexcept: as an option in the ipython:: block to suppress this message\n" - sys.stdout.write('\n\n>>>' + ('-' * 73)) - sys.stdout.write(s) - sys.stdout.write(processed_output) - sys.stdout.write('<<<' + ('-' * 73) + '\n\n') - - # output any warning raised during execution to stdout - # unless :okwarning: has been specified. - if not is_okwarning: - for w in ws: - s = "\nWarning in %s at block ending on line %s\n" % (filename, lineno) - s += "Specify :okwarning: as an option in the ipython:: block to suppress this message\n" - sys.stdout.write('\n\n>>>' + ('-' * 73)) - sys.stdout.write(s) - sys.stdout.write(('-' * 76) + '\n') - s=warnings.formatwarning(w.message, w.category, - w.filename, w.lineno, w.line) - sys.stdout.write(s) - sys.stdout.write('<<<' + ('-' * 73) + '\n') - - self.cout.truncate(0) - - return (ret, input_lines, processed_output, - is_doctest, decorator, image_file, image_directive) - - - def process_output(self, data, output_prompt, input_lines, output, - is_doctest, decorator, image_file): - """ - Process data block for OUTPUT token. - - """ - # Recall: `data` is the submitted output, and `output` is the processed - # output from `input_lines`. - - TAB = ' ' * 4 - - if is_doctest and output is not None: - - found = output # This is the processed output - found = found.strip() - submitted = data.strip() - - if self.directive is None: - source = 'Unavailable' - content = 'Unavailable' - else: - source = self.directive.state.document.current_source - content = self.directive.content - # Add tabs and join into a single string. - content = '\n'.join([TAB + line for line in content]) - - # Make sure the output contains the output prompt. - ind = found.find(output_prompt) - if ind < 0: - e = ('output does not contain output prompt\n\n' - 'Document source: {0}\n\n' - 'Raw content: \n{1}\n\n' - 'Input line(s):\n{TAB}{2}\n\n' - 'Output line(s):\n{TAB}{3}\n\n') - e = e.format(source, content, '\n'.join(input_lines), - repr(found), TAB=TAB) - raise RuntimeError(e) - found = found[len(output_prompt):].strip() - - # Handle the actual doctest comparison. - if decorator.strip() == '@doctest': - # Standard doctest - if found != submitted: - e = ('doctest failure\n\n' - 'Document source: {0}\n\n' - 'Raw content: \n{1}\n\n' - 'On input line(s):\n{TAB}{2}\n\n' - 'we found output:\n{TAB}{3}\n\n' - 'instead of the expected:\n{TAB}{4}\n\n') - e = e.format(source, content, '\n'.join(input_lines), - repr(found), repr(submitted), TAB=TAB) - raise RuntimeError(e) - else: - self.custom_doctest(decorator, input_lines, found, submitted) - - # When in verbatim mode, this holds additional submitted output - # to be written in the final Sphinx output. - # https://github.com/ipython/ipython/issues/5776 - out_data = [] - - is_verbatim = decorator=='@verbatim' or self.is_verbatim - if is_verbatim and data.strip(): - # Note that `ret` in `process_block` has '' as its last element if - # the code block was in verbatim mode. So if there is no submitted - # output, then we will have proper spacing only if we do not add - # an additional '' to `out_data`. This is why we condition on - # `and data.strip()`. - - # The submitted output has no output prompt. If we want the - # prompt and the code to appear, we need to join them now - # instead of adding them separately---as this would create an - # undesired newline. How we do this ultimately depends on the - # format of the output regex. I'll do what works for the default - # prompt for now, and we might have to adjust if it doesn't work - # in other cases. Finally, the submitted output does not have - # a trailing newline, so we must add it manually. - out_data.append("{0} {1}\n".format(output_prompt, data)) - - return out_data - - def process_comment(self, data): - """Process data fPblock for COMMENT token.""" - if not self.is_suppress: - return [data] - - def save_image(self, image_file): - """ - Saves the image file to disk. - """ - self.ensure_pyplot() - command = 'plt.gcf().savefig("%s")'%image_file - #print 'SAVEFIG', command # dbg - self.process_input_line('bookmark ipy_thisdir', store_history=False) - self.process_input_line('cd -b ipy_savedir', store_history=False) - self.process_input_line(command, store_history=False) - self.process_input_line('cd -b ipy_thisdir', store_history=False) - self.process_input_line('bookmark -d ipy_thisdir', store_history=False) - self.clear_cout() - - def process_block(self, block): - """ - process block from the block_parser and return a list of processed lines - """ - ret = [] - output = None - input_lines = None - lineno = self.IP.execution_count - - input_prompt = self.promptin % lineno - output_prompt = self.promptout % lineno - image_file = None - image_directive = None - - for token, data in block: - if token == COMMENT: - out_data = self.process_comment(data) - elif token == INPUT: - (out_data, input_lines, output, is_doctest, - decorator, image_file, image_directive) = \ - self.process_input(data, input_prompt, lineno) - elif token == OUTPUT: - out_data = \ - self.process_output(data, output_prompt, input_lines, - output, is_doctest, decorator, - image_file) - if out_data: - # Then there was user submitted output in verbatim mode. - # We need to remove the last element of `ret` that was - # added in `process_input`, as it is '' and would introduce - # an undesirable newline. - assert(ret[-1] == '') - del ret[-1] - - if out_data: - ret.extend(out_data) - - # save the image files - if image_file is not None: - self.save_image(image_file) - - return ret, image_directive - - def ensure_pyplot(self): - """ - Ensures that pyplot has been imported into the embedded IPython shell. - - Also, makes sure to set the backend appropriately if not set already. - - """ - # We are here if the @figure pseudo decorator was used. Thus, it's - # possible that we could be here even if python_mplbackend were set to - # `None`. That's also strange and perhaps worthy of raising an - # exception, but for now, we just set the backend to 'agg'. - - if not self._pyplot_imported: - if 'matplotlib.backends' not in sys.modules: - # Then ipython_matplotlib was set to None but there was a - # call to the @figure decorator (and ipython_execlines did - # not set a backend). - #raise Exception("No backend was set, but @figure was used!") - import matplotlib - matplotlib.use('agg') - - # Always import pyplot into embedded shell. - self.process_input_line('import matplotlib.pyplot as plt', - store_history=False) - self._pyplot_imported = True - - def process_pure_python(self, content): - """ - content is a list of strings. it is unedited directive content - - This runs it line by line in the InteractiveShell, prepends - prompts as needed capturing stderr and stdout, then returns - the content as a list as if it were ipython code - """ - output = [] - savefig = False # keep up with this to clear figure - multiline = False # to handle line continuation - multiline_start = None - fmtin = self.promptin - - ct = 0 - - for lineno, line in enumerate(content): - - line_stripped = line.strip() - if not len(line): - output.append(line) - continue - - # handle decorators - if line_stripped.startswith('@'): - output.extend([line]) - if 'savefig' in line: - savefig = True # and need to clear figure - continue - - # handle comments - if line_stripped.startswith('#'): - output.extend([line]) - continue - - # deal with lines checking for multiline - continuation = u' %s:'% ''.join(['.']*(len(str(ct))+2)) - if not multiline: - modified = u"%s %s" % (fmtin % ct, line_stripped) - output.append(modified) - ct += 1 - try: - ast.parse(line_stripped) - output.append(u'') - except Exception: # on a multiline - multiline = True - multiline_start = lineno - else: # still on a multiline - modified = u'%s %s' % (continuation, line) - output.append(modified) - - # if the next line is indented, it should be part of multiline - if len(content) > lineno + 1: - nextline = content[lineno + 1] - if len(nextline) - len(nextline.lstrip()) > 3: - continue - try: - mod = ast.parse( - '\n'.join(content[multiline_start:lineno+1])) - if isinstance(mod.body[0], ast.FunctionDef): - # check to see if we have the whole function - for element in mod.body[0].body: - if isinstance(element, ast.Return): - multiline = False - else: - output.append(u'') - multiline = False - except Exception: - pass - - if savefig: # clear figure if plotted - self.ensure_pyplot() - self.process_input_line('plt.clf()', store_history=False) - self.clear_cout() - savefig = False - - return output - - def custom_doctest(self, decorator, input_lines, found, submitted): - """ - Perform a specialized doctest. - - """ - from .custom_doctests import doctests - - args = decorator.split() - doctest_type = args[1] - if doctest_type in doctests: - doctests[doctest_type](self, args, input_lines, found, submitted) - else: - e = "Invalid option to @doctest: {0}".format(doctest_type) - raise Exception(e) - - -class IPythonDirective(Directive): - - has_content = True - required_arguments = 0 - optional_arguments = 4 # python, suppress, verbatim, doctest - final_argumuent_whitespace = True - option_spec = { 'python': directives.unchanged, - 'suppress' : directives.flag, - 'verbatim' : directives.flag, - 'doctest' : directives.flag, - 'okexcept': directives.flag, - 'okwarning': directives.flag - } - - shell = None - - seen_docs = set() - - def get_config_options(self): - # contains sphinx configuration variables - config = self.state.document.settings.env.config - - # get config variables to set figure output directory - confdir = self.state.document.settings.env.app.confdir - savefig_dir = config.ipython_savefig_dir - source_dir = os.path.dirname(self.state.document.current_source) - if savefig_dir is None: - savefig_dir = config.html_static_path - if isinstance(savefig_dir, list): - savefig_dir = savefig_dir[0] # safe to assume only one path? - savefig_dir = os.path.join(confdir, savefig_dir) - - # get regex and prompt stuff - rgxin = config.ipython_rgxin - rgxout = config.ipython_rgxout - promptin = config.ipython_promptin - promptout = config.ipython_promptout - mplbackend = config.ipython_mplbackend - exec_lines = config.ipython_execlines - hold_count = config.ipython_holdcount - - return (savefig_dir, source_dir, rgxin, rgxout, - promptin, promptout, mplbackend, exec_lines, hold_count) - - def setup(self): - # Get configuration values. - (savefig_dir, source_dir, rgxin, rgxout, promptin, promptout, - mplbackend, exec_lines, hold_count) = self.get_config_options() - - if self.shell is None: - # We will be here many times. However, when the - # EmbeddedSphinxShell is created, its interactive shell member - # is the same for each instance. - - if mplbackend: - import matplotlib - # Repeated calls to use() will not hurt us since `mplbackend` - # is the same each time. - matplotlib.use(mplbackend) - - # Must be called after (potentially) importing matplotlib and - # setting its backend since exec_lines might import pylab. - self.shell = EmbeddedSphinxShell(exec_lines) - - # Store IPython directive to enable better error messages - self.shell.directive = self - - # reset the execution count if we haven't processed this doc - #NOTE: this may be borked if there are multiple seen_doc tmp files - #check time stamp? - if not self.state.document.current_source in self.seen_docs: - self.shell.IP.history_manager.reset() - self.shell.IP.execution_count = 1 - self.shell.IP.prompt_manager.width = 0 - self.seen_docs.add(self.state.document.current_source) - - # and attach to shell so we don't have to pass them around - self.shell.rgxin = rgxin - self.shell.rgxout = rgxout - self.shell.promptin = promptin - self.shell.promptout = promptout - self.shell.savefig_dir = savefig_dir - self.shell.source_dir = source_dir - self.shell.hold_count = hold_count - - # setup bookmark for saving figures directory - self.shell.process_input_line('bookmark ipy_savedir %s'%savefig_dir, - store_history=False) - self.shell.clear_cout() - - return rgxin, rgxout, promptin, promptout - - def teardown(self): - # delete last bookmark - self.shell.process_input_line('bookmark -d ipy_savedir', - store_history=False) - self.shell.clear_cout() - - def run(self): - debug = False - - #TODO, any reason block_parser can't be a method of embeddable shell - # then we wouldn't have to carry these around - rgxin, rgxout, promptin, promptout = self.setup() - - options = self.options - self.shell.is_suppress = 'suppress' in options - self.shell.is_doctest = 'doctest' in options - self.shell.is_verbatim = 'verbatim' in options - self.shell.is_okexcept = 'okexcept' in options - self.shell.is_okwarning = 'okwarning' in options - - # handle pure python code - if 'python' in self.arguments: - content = self.content - self.content = self.shell.process_pure_python(content) - - parts = '\n'.join(self.content).split('\n\n') - - lines = ['.. code-block:: ipython', ''] - figures = [] - - for part in parts: - block = block_parser(part, rgxin, rgxout, promptin, promptout) - if len(block): - rows, figure = self.shell.process_block(block) - for row in rows: - lines.extend([' {0}'.format(line) - for line in row.split('\n')]) - - if figure is not None: - figures.append(figure) - - for figure in figures: - lines.append('') - lines.extend(figure.split('\n')) - lines.append('') - - if len(lines) > 2: - if debug: - print('\n'.join(lines)) - else: - # This has to do with input, not output. But if we comment - # these lines out, then no IPython code will appear in the - # final output. - self.state_machine.insert_input( - lines, self.state_machine.input_lines.source(0)) - - # cleanup - self.teardown() - - return [] - -# Enable as a proper Sphinx directive -def setup(app): - setup.app = app - - app.add_directive('ipython', IPythonDirective) - app.add_config_value('ipython_savefig_dir', None, 'env') - app.add_config_value('ipython_rgxin', - re.compile('In \[(\d+)\]:\s?(.*)\s*'), 'env') - app.add_config_value('ipython_rgxout', - re.compile('Out\[(\d+)\]:\s?(.*)\s*'), 'env') - app.add_config_value('ipython_promptin', 'In [%d]:', 'env') - app.add_config_value('ipython_promptout', 'Out[%d]:', 'env') - - # We could just let matplotlib pick whatever is specified as the default - # backend in the matplotlibrc file, but this would cause issues if the - # backend didn't work in headless environments. For this reason, 'agg' - # is a good default backend choice. - app.add_config_value('ipython_mplbackend', 'agg', 'env') - - # If the user sets this config value to `None`, then EmbeddedSphinxShell's - # __init__ method will treat it as []. - execlines = ['import numpy as np', 'import matplotlib.pyplot as plt'] - app.add_config_value('ipython_execlines', execlines, 'env') - - app.add_config_value('ipython_holdcount', True, 'env') - -# Simple smoke test, needs to be converted to a proper automatic test. -def test(): - - examples = [ - r""" -In [9]: pwd -Out[9]: '/home/jdhunter/py4science/book' - -In [10]: cd bookdata/ -/home/jdhunter/py4science/book/bookdata - -In [2]: from pylab import * - -In [2]: ion() - -In [3]: im = imread('stinkbug.png') - -@savefig mystinkbug.png width=4in -In [4]: imshow(im) -Out[4]: - -""", - r""" - -In [1]: x = 'hello world' - -# string methods can be -# used to alter the string -@doctest -In [2]: x.upper() -Out[2]: 'HELLO WORLD' - -@verbatim -In [3]: x.st -x.startswith x.strip -""", - r""" - -In [130]: url = 'http://ichart.finance.yahoo.com/table.csv?s=CROX\ - .....: &d=9&e=22&f=2009&g=d&a=1&br=8&c=2006&ignore=.csv' - -In [131]: print url.split('&') -['http://ichart.finance.yahoo.com/table.csv?s=CROX', 'd=9', 'e=22', 'f=2009', 'g=d', 'a=1', 'b=8', 'c=2006', 'ignore=.csv'] - -In [60]: import urllib - -""", - r"""\ - -In [133]: import numpy.random - -@suppress -In [134]: numpy.random.seed(2358) - -@doctest -In [135]: numpy.random.rand(10,2) -Out[135]: -array([[ 0.64524308, 0.59943846], - [ 0.47102322, 0.8715456 ], - [ 0.29370834, 0.74776844], - [ 0.99539577, 0.1313423 ], - [ 0.16250302, 0.21103583], - [ 0.81626524, 0.1312433 ], - [ 0.67338089, 0.72302393], - [ 0.7566368 , 0.07033696], - [ 0.22591016, 0.77731835], - [ 0.0072729 , 0.34273127]]) - -""", - - r""" -In [106]: print x -jdh - -In [109]: for i in range(10): - .....: print i - .....: - .....: -0 -1 -2 -3 -4 -5 -6 -7 -8 -9 -""", - - r""" - -In [144]: from pylab import * - -In [145]: ion() - -# use a semicolon to suppress the output -@savefig test_hist.png width=4in -In [151]: hist(np.random.randn(10000), 100); - - -@savefig test_plot.png width=4in -In [151]: plot(np.random.randn(10000), 'o'); - """, - - r""" -# use a semicolon to suppress the output -In [151]: plt.clf() - -@savefig plot_simple.png width=4in -In [151]: plot([1,2,3]) - -@savefig hist_simple.png width=4in -In [151]: hist(np.random.randn(10000), 100); - -""", - r""" -# update the current fig -In [151]: ylabel('number') - -In [152]: title('normal distribution') - - -@savefig hist_with_text.png -In [153]: grid(True) - -@doctest float -In [154]: 0.1 + 0.2 -Out[154]: 0.3 - -@doctest float -In [155]: np.arange(16).reshape(4,4) -Out[155]: -array([[ 0, 1, 2, 3], - [ 4, 5, 6, 7], - [ 8, 9, 10, 11], - [12, 13, 14, 15]]) - -In [1]: x = np.arange(16, dtype=float).reshape(4,4) - -In [2]: x[0,0] = np.inf - -In [3]: x[0,1] = np.nan - -@doctest float -In [4]: x -Out[4]: -array([[ inf, nan, 2., 3.], - [ 4., 5., 6., 7.], - [ 8., 9., 10., 11.], - [ 12., 13., 14., 15.]]) - - - """, - ] - # skip local-file depending first example: - examples = examples[1:] - - #ipython_directive.DEBUG = True # dbg - #options = dict(suppress=True) # dbg - options = dict() - for example in examples: - content = example.split('\n') - IPythonDirective('debug', arguments=None, options=options, - content=content, lineno=0, - content_offset=None, block_text=None, - state=None, state_machine=None, - ) - -# Run test suite as a script -if __name__=='__main__': - if not os.path.isdir('_static'): - os.mkdir('_static') - test() - print('All OK? Check figures in _static/') From ee68c230c7ef6f2d82ec9a383899d7016bbc433a Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 18:18:53 -0700 Subject: [PATCH 39/88] add a blank line --- pvlib/irradiance.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index a343baa371..bf90414bde 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -109,6 +109,7 @@ def extraradiation(datetime_or_doy, solar_constant=1366.1, method='spencer'): plt.legend() @savefig extraradiation.png width=4in plt.ylabel('Extraterrestrial radiation (W/m^2)') + """ pvl_logger.debug('irradiance.extraradiation()') From 6edb069dd75cb1e195c5e165a81c2d7a007b0054 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 18:43:32 -0700 Subject: [PATCH 40/88] move ipython directive out of numpydoc --- pvlib/irradiance.py | 32 +++++++++++++++----------------- 1 file changed, 15 insertions(+), 17 deletions(-) diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index bf90414bde..51dcd7efe0 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -4,12 +4,26 @@ diffuse horizontal irradiance, and total irradiance under various conditions. +Extraterrestrial radiation can be modeled using :func:`extraradiation`. + .. ipython:: python - :suppress: import numpy as np import pandas as pd import matplotlib.pyplot as plt + import pvlib + + times = pd.date_range('2014-01-01', '2015-01-01', freq='1D') + spencer = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer'), times) + asce = pd.Series(pvlib.irradiance.extraradiation(times, method='asce'), times) + ephem = pvlib.irradiance.extraradiation(times, method='pyephem') # approx 100x slower than the above. + spencer.plot(label='spencer') + asce.plot(label='asce') + ephem.plot(label='pyephem') + plt.legend() + @savefig extraradiation.png width=4in + plt.ylabel('Extraterrestrial radiation (W/m^2)') + """ from __future__ import division @@ -94,22 +108,6 @@ def extraradiation(datetime_or_doy, solar_constant=1366.1, method='spencer'): See Also -------- pvlib.clearsky.disc - - Examples - -------- - .. ipython:: - - times = pd.date_range('2014-01-01', '2015-01-01', freq='1D') - spencer = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer'), times) - asce = pd.Series(pvlib.irradiance.extraradiation(times, method='asce'), times) - ephem = pvlib.irradiance.extraradiation(times, method='pyephem') # approx 100x slower than the above. - spencer.plot(label='spencer') - asce.plot(label='asce') - ephem.plot(label='pyephem') - plt.legend() - @savefig extraradiation.png width=4in - plt.ylabel('Extraterrestrial radiation (W/m^2)') - """ pvl_logger.debug('irradiance.extraradiation()') From 1f3e323620d467992b9ba20d01350da7100f500e Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 13 Jan 2016 19:04:58 -0700 Subject: [PATCH 41/88] remove plot from module --- pvlib/irradiance.py | 21 --------------------- 1 file changed, 21 deletions(-) diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index 51dcd7efe0..0d0e7d5ad4 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -3,27 +3,6 @@ global horizontal irradiance, direct normal irradiance, diffuse horizontal irradiance, and total irradiance under various conditions. - -Extraterrestrial radiation can be modeled using :func:`extraradiation`. - -.. ipython:: python - - import numpy as np - import pandas as pd - import matplotlib.pyplot as plt - import pvlib - - times = pd.date_range('2014-01-01', '2015-01-01', freq='1D') - spencer = pd.Series(pvlib.irradiance.extraradiation(times, method='spencer'), times) - asce = pd.Series(pvlib.irradiance.extraradiation(times, method='asce'), times) - ephem = pvlib.irradiance.extraradiation(times, method='pyephem') # approx 100x slower than the above. - spencer.plot(label='spencer') - asce.plot(label='asce') - ephem.plot(label='pyephem') - plt.legend() - @savefig extraradiation.png width=4in - plt.ylabel('Extraterrestrial radiation (W/m^2)') - """ from __future__ import division From 97df44714e49920b6ba2bcfd69ee550ff87a297d Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Thu, 14 Jan 2016 13:24:28 -0700 Subject: [PATCH 42/88] clean up merge detritus --- docs/sphinx/source/conf.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index 45902dbee9..a74ea4675d 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -26,12 +26,7 @@ class Mock(MagicMock): def __getattr__(cls, name): return Mock() -<<<<<<< HEAD -MOCK_MODULES = ['scipy', 'scipy.io', 'numpy', 'ephem', 'pandas', - 'pvlib.spa_c_files.spa_py', 'dateutil', 'netCDF4'] -======= MOCK_MODULES = [] ->>>>>>> rtdconda sys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES) # If extensions (or modules to document with autodoc) are in another directory, From 98b0fd03253b661765223cab69a125de8d849994 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Thu, 14 Jan 2016 13:33:59 -0700 Subject: [PATCH 43/88] add siphon to env --- docs/environment.yml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/docs/environment.yml b/docs/environment.yml index ca06545e2d..2adbb4ef83 100644 --- a/docs/environment.yml +++ b/docs/environment.yml @@ -1,4 +1,7 @@ name: pvlib +channels: + - defaults + - http://conda.anaconda.org/Unidata dependencies: - python=2.7 - numpy @@ -11,4 +14,5 @@ dependencies: - sphinx - numpydoc - matplotlib - - seaborn \ No newline at end of file + - seaborn + - siphon \ No newline at end of file From 3460bc5223800becd88a0a49d952eefdb4147819 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Thu, 14 Jan 2016 13:42:55 -0700 Subject: [PATCH 44/88] remove sphinx_rtd_theme from our source --- docs/_themes/sphinx_rtd_theme/__init__.py | 17 - .../_themes/sphinx_rtd_theme/breadcrumbs.html | 31 -- docs/_themes/sphinx_rtd_theme/footer.html | 52 -- docs/_themes/sphinx_rtd_theme/layout.html | 196 ------- docs/_themes/sphinx_rtd_theme/layout_old.html | 205 ------- docs/_themes/sphinx_rtd_theme/search.html | 50 -- docs/_themes/sphinx_rtd_theme/searchbox.html | 9 - .../static/css/badge_only.css | 2 - .../static/css/badge_only.css.map | 7 - .../sphinx_rtd_theme/static/css/theme.css | 5 - .../sphinx_rtd_theme/static/css/theme.css.map | 7 - .../static/fonts/FontAwesome.otf | Bin 85908 -> 0 bytes .../static/fonts/Inconsolata-Bold.ttf | Bin 66352 -> 0 bytes .../static/fonts/Inconsolata-Regular.ttf | Bin 84548 -> 0 bytes .../static/fonts/Lato-Bold.ttf | Bin 121788 -> 0 bytes .../static/fonts/Lato-Regular.ttf | Bin 120196 -> 0 bytes .../static/fonts/RobotoSlab-Bold.ttf | Bin 170616 -> 0 bytes .../static/fonts/RobotoSlab-Regular.ttf | Bin 169064 -> 0 bytes .../static/fonts/fontawesome-webfont.eot | Bin 56006 -> 0 bytes .../static/fonts/fontawesome-webfont.svg | 520 ------------------ .../static/fonts/fontawesome-webfont.ttf | Bin 112160 -> 0 bytes .../static/fonts/fontawesome-webfont.woff | Bin 65452 -> 0 bytes .../static/js/modernizr.min.js | 4 - .../sphinx_rtd_theme/static/js/theme.js | 156 ------ docs/_themes/sphinx_rtd_theme/theme.conf | 11 - docs/_themes/sphinx_rtd_theme/versions.html | 37 -- 26 files changed, 1309 deletions(-) delete mode 100644 docs/_themes/sphinx_rtd_theme/__init__.py delete mode 100644 docs/_themes/sphinx_rtd_theme/breadcrumbs.html delete mode 100644 docs/_themes/sphinx_rtd_theme/footer.html delete mode 100644 docs/_themes/sphinx_rtd_theme/layout.html delete mode 100644 docs/_themes/sphinx_rtd_theme/layout_old.html delete mode 100644 docs/_themes/sphinx_rtd_theme/search.html delete mode 100644 docs/_themes/sphinx_rtd_theme/searchbox.html delete mode 100644 docs/_themes/sphinx_rtd_theme/static/css/badge_only.css delete mode 100644 docs/_themes/sphinx_rtd_theme/static/css/badge_only.css.map delete mode 100644 docs/_themes/sphinx_rtd_theme/static/css/theme.css delete mode 100644 docs/_themes/sphinx_rtd_theme/static/css/theme.css.map delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/FontAwesome.otf delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/Inconsolata-Bold.ttf delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/Inconsolata-Regular.ttf delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/Lato-Bold.ttf delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/Lato-Regular.ttf delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/RobotoSlab-Bold.ttf delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/RobotoSlab-Regular.ttf delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/fontawesome-webfont.eot delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/fontawesome-webfont.svg delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/fontawesome-webfont.ttf delete mode 100644 docs/_themes/sphinx_rtd_theme/static/fonts/fontawesome-webfont.woff delete mode 100644 docs/_themes/sphinx_rtd_theme/static/js/modernizr.min.js delete mode 100644 docs/_themes/sphinx_rtd_theme/static/js/theme.js delete mode 100644 docs/_themes/sphinx_rtd_theme/theme.conf delete mode 100644 docs/_themes/sphinx_rtd_theme/versions.html diff --git a/docs/_themes/sphinx_rtd_theme/__init__.py b/docs/_themes/sphinx_rtd_theme/__init__.py deleted file mode 100644 index 88ddcce25c..0000000000 --- a/docs/_themes/sphinx_rtd_theme/__init__.py +++ /dev/null @@ -1,17 +0,0 @@ -"""Sphinx ReadTheDocs theme. - -From https://github.com/ryan-roemer/sphinx-bootstrap-theme. - -""" -import os - -VERSION = (0, 1, 9) - -__version__ = ".".join(str(v) for v in VERSION) -__version_full__ = __version__ - - -def get_html_theme_path(): - """Return list of HTML theme paths.""" - cur_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__))) - return cur_dir diff --git a/docs/_themes/sphinx_rtd_theme/breadcrumbs.html b/docs/_themes/sphinx_rtd_theme/breadcrumbs.html deleted file mode 100644 index 7c2ce5c8fd..0000000000 --- a/docs/_themes/sphinx_rtd_theme/breadcrumbs.html +++ /dev/null @@ -1,31 +0,0 @@ -{# Support for Sphinx 1.3+ page_source_suffix, but don't break old builds. #} - -{% if page_source_suffix %} -{% set suffix = page_source_suffix %} -{% else %} -{% set suffix = source_suffix %} -{% endif %} - -

    - -
    -
    diff --git a/docs/_themes/sphinx_rtd_theme/footer.html b/docs/_themes/sphinx_rtd_theme/footer.html deleted file mode 100644 index f4396eecbd..0000000000 --- a/docs/_themes/sphinx_rtd_theme/footer.html +++ /dev/null @@ -1,52 +0,0 @@ -
    - {% if next or prev %} - - {% endif %} - -
    - -
    -

    - {%- if show_copyright %} - {%- if hasdoc('copyright') %} - {% trans path=pathto('copyright'), copyright=copyright|e %}© Copyright {{ copyright }}.{% endtrans %} - {%- else %} - {% trans copyright=copyright|e %}© Copyright {{ copyright }}.{% endtrans %} - {%- endif %} - {%- endif %} - - {%- if build_id and build_url %} - {% trans build_url=build_url, build_id=build_id %} - - Build - {{ build_id }}. - - {% endtrans %} - {%- elif commit %} - {% trans commit=commit %} - - Revision {{ commit }}. - - {% endtrans %} - {%- elif last_updated %} - {% trans last_updated=last_updated|e %}Last updated on {{ last_updated }}.{% endtrans %} - {%- endif %} - -

    -
    - - {%- if show_sphinx %} - {% trans %}Built with Sphinx using a theme provided by Read the Docs{% endtrans %}. - {%- endif %} - - {%- block extrafooter %} {% endblock %} - -
    - diff --git a/docs/_themes/sphinx_rtd_theme/layout.html b/docs/_themes/sphinx_rtd_theme/layout.html deleted file mode 100644 index 44978c9602..0000000000 --- a/docs/_themes/sphinx_rtd_theme/layout.html +++ /dev/null @@ -1,196 +0,0 @@ -{# TEMPLATE VAR SETTINGS #} -{%- set url_root = pathto('', 1) %} -{%- if url_root == '#' %}{% set url_root = '' %}{% endif %} -{%- if not embedded and docstitle %} - {%- set titlesuffix = " — "|safe + docstitle|e %} -{%- else %} - {%- set titlesuffix = "" %} -{%- endif %} - - - - - - - {{ metatags }} - - {% block htmltitle %} - {{ title|striptags|e }}{{ titlesuffix }} - {% endblock %} - - {# FAVICON #} - {% if favicon %} - - {% endif %} - - {# CSS #} - - {# OPENSEARCH #} - {% if not embedded %} - {% if use_opensearch %} - - {% endif %} - - {% endif %} - - {# RTD hosts this file, so just load on non RTD builds #} - {% if not READTHEDOCS %} - - {% endif %} - - {% for cssfile in css_files %} - - {% endfor %} - - {% for cssfile in extra_css_files %} - - {% endfor %} - - {%- block linktags %} - {%- if hasdoc('about') %} - - {%- endif %} - {%- if hasdoc('genindex') %} - - {%- endif %} - {%- if hasdoc('search') %} - - {%- endif %} - {%- if hasdoc('copyright') %} - - {%- endif %} - - {%- if parents %} - - {%- endif %} - {%- if next %} - - {%- endif %} - {%- if prev %} - - {%- endif %} - {%- endblock %} - {%- block extrahead %} {% endblock %} - - {# Keep modernizr in head - http://modernizr.com/docs/#installing #} - - - - - - -
    - - {# SIDE NAV, TOGGLES ON MOBILE #} - - -
    - - {# MOBILE NAV, TRIGGLES SIDE NAV ON TOGGLE #} - - - - {# PAGE CONTENT #} -
    -
    - {% include "breadcrumbs.html" %} -
    -
    - {% block body %}{% endblock %} -
    -
    - {% include "footer.html" %} -
    -
    - -
    - -
    - {% include "versions.html" %} - - {% if not embedded %} - - - {%- for scriptfile in script_files %} - - {%- endfor %} - - {% endif %} - - {# RTD hosts this file, so just load on non RTD builds #} - {% if not READTHEDOCS %} - - {% endif %} - - {# STICKY NAVIGATION #} - {% if theme_sticky_navigation %} - - {% endif %} - - {%- block footer %} {% endblock %} - - - diff --git a/docs/_themes/sphinx_rtd_theme/layout_old.html b/docs/_themes/sphinx_rtd_theme/layout_old.html deleted file mode 100644 index deb8df2a1a..0000000000 --- a/docs/_themes/sphinx_rtd_theme/layout_old.html +++ /dev/null @@ -1,205 +0,0 @@ -{# - basic/layout.html - ~~~~~~~~~~~~~~~~~ - - Master layout template for Sphinx themes. - - :copyright: Copyright 2007-2013 by the Sphinx team, see AUTHORS. - :license: BSD, see LICENSE for details. -#} -{%- block doctype -%} - -{%- endblock %} -{%- set reldelim1 = reldelim1 is not defined and ' »' or reldelim1 %} -{%- set reldelim2 = reldelim2 is not defined and ' |' or reldelim2 %} -{%- set render_sidebar = (not embedded) and (not theme_nosidebar|tobool) and - (sidebars != []) %} -{%- set url_root = pathto('', 1) %} -{# XXX necessary? #} -{%- if url_root == '#' %}{% set url_root = '' %}{% endif %} -{%- if not embedded and docstitle %} - {%- set titlesuffix = " — "|safe + docstitle|e %} -{%- else %} - {%- set titlesuffix = "" %} -{%- endif %} - -{%- macro relbar() %} -
    -

    {{ _('Navigation') }}

    -
      - {%- for rellink in rellinks %} -
    • - {{ rellink[3] }} - {%- if not loop.first %}{{ reldelim2 }}{% endif %}
      • - {%- endfor %} - {%- block rootrellink %} -
    • {{ shorttitle|e }}{{ reldelim1 }}
      • - {%- endblock %} - {%- for parent in parents %} -
    • {{ parent.title }}{{ reldelim1 }}
      • - {%- endfor %} - {%- block relbaritems %} {% endblock %} -
    -
    -{%- endmacro %} - -{%- macro sidebar() %} - {%- if render_sidebar %} -
    -
    - {%- block sidebarlogo %} - {%- if logo %} - - {%- endif %} - {%- endblock %} - {%- if sidebars != None %} - {#- new style sidebar: explicitly include/exclude templates #} - {%- for sidebartemplate in sidebars %} - {%- include sidebartemplate %} - {%- endfor %} - {%- else %} - {#- old style sidebars: using blocks -- should be deprecated #} - {%- block sidebartoc %} - {%- include "localtoc.html" %} - {%- endblock %} - {%- block sidebarrel %} - {%- include "relations.html" %} - {%- endblock %} - {%- block sidebarsourcelink %} - {%- include "sourcelink.html" %} - {%- endblock %} - {%- if customsidebar %} - {%- include customsidebar %} - {%- endif %} - {%- block sidebarsearch %} - {%- include "searchbox.html" %} - {%- endblock %} - {%- endif %} -
    -
    - {%- endif %} -{%- endmacro %} - -{%- macro script() %} - - {%- for scriptfile in script_files %} - - {%- endfor %} -{%- endmacro %} - -{%- macro css() %} - - - {%- for cssfile in css_files %} - - {%- endfor %} -{%- endmacro %} - - - - - {{ metatags }} - {%- block htmltitle %} - {{ title|striptags|e }}{{ titlesuffix }} - {%- endblock %} - {{ css() }} - {%- if not embedded %} - {{ script() }} - {%- if use_opensearch %} - - {%- endif %} - {%- if favicon %} - - {%- endif %} - {%- endif %} -{%- block linktags %} - {%- if hasdoc('about') %} - - {%- endif %} - {%- if hasdoc('genindex') %} - - {%- endif %} - {%- if hasdoc('search') %} - - {%- endif %} - {%- if hasdoc('copyright') %} - - {%- endif %} - - {%- if parents %} - - {%- endif %} - {%- if next %} - - {%- endif %} - {%- if prev %} - - {%- endif %} -{%- endblock %} -{%- block extrahead %} {% endblock %} - - -{%- block header %}{% endblock %} - -{%- block relbar1 %}{{ relbar() }}{% endblock %} - -{%- block content %} - {%- block sidebar1 %} {# possible location for sidebar #} {% endblock %} - -
    - {%- block document %} -
    - {%- if render_sidebar %} -
    - {%- endif %} -
    - {% block body %} {% endblock %} -
    - {%- if render_sidebar %} -
    - {%- endif %} -
    - {%- endblock %} - - {%- block sidebar2 %}{{ sidebar() }}{% endblock %} -
    -
    -{%- endblock %} - -{%- block relbar2 %}{{ relbar() }}{% endblock %} - -{%- block footer %} -
    - {%- if show_copyright %} - {%- if hasdoc('copyright') %} - {% trans path=pathto('copyright'), copyright=copyright|e %}© Copyright {{ copyright }}.{% endtrans %} - {%- else %} - {% trans copyright=copyright|e %}© Copyright {{ copyright }}.{% endtrans %} - {%- endif %} - {%- endif %} - {%- if last_updated %} - {% trans last_updated=last_updated|e %}Last updated on {{ last_updated }}.{% endtrans %} - {%- endif %} - {%- if show_sphinx %} - {% trans sphinx_version=sphinx_version|e %}Created using Sphinx {{ sphinx_version }}.{% endtrans %} - {%- endif %} -
    -

    asdf asdf asdf asdf 22

    -{%- endblock %} - - - diff --git a/docs/_themes/sphinx_rtd_theme/search.html b/docs/_themes/sphinx_rtd_theme/search.html deleted file mode 100644 index e3aa9b5c6e..0000000000 --- a/docs/_themes/sphinx_rtd_theme/search.html +++ /dev/null @@ -1,50 +0,0 @@ -{# - basic/search.html - ~~~~~~~~~~~~~~~~~ - - Template for the search page. - - :copyright: Copyright 2007-2013 by the Sphinx team, see AUTHORS. - :license: BSD, see LICENSE for details. -#} -{%- extends "layout.html" %} -{% set title = _('Search') %} -{% set script_files = script_files + ['_static/searchtools.js'] %} -{% block footer %} - - {# this is used when loading the search index using $.ajax fails, - such as on Chrome for documents on localhost #} - - {{ super() }} -{% endblock %} -{% block body %} - - - {% if search_performed %} -

    {{ _('Search Results') }}

    - {% if not search_results %} -

    {{ _('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.') }}

    - {% endif %} - {% endif %} -
    - {% if search_results %} -
      - {% for href, caption, context in search_results %} -
    • - {{ caption }} -

      {{ context|e }}

      -
      • - {% endfor %} -
    - {% endif %} -
    -{% endblock %} diff --git a/docs/_themes/sphinx_rtd_theme/searchbox.html b/docs/_themes/sphinx_rtd_theme/searchbox.html deleted file mode 100644 index 35ad52c5f6..0000000000 --- a/docs/_themes/sphinx_rtd_theme/searchbox.html +++ /dev/null @@ -1,9 +0,0 @@ -{%- if builder != 'singlehtml' %} -
    -
    - - - -
    -
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this.linkScroll = false; - }); - }; - - nav.toggleCurrent = function (elem) { - var parent_li = elem.closest('li'); - parent_li.siblings('li.current').removeClass('current'); - parent_li.siblings().find('li.current').removeClass('current'); - parent_li.find('> ul li.current').removeClass('current'); - parent_li.toggleClass('current'); - } - - return nav; -}; - -module.exports.ThemeNav = ThemeNav(); - -if (typeof(window) != 'undefined') { - window.SphinxRtdTheme = { StickyNav: module.exports.ThemeNav }; -} - -},{"jquery":"jquery"}]},{},["sphinx-rtd-theme"]); diff --git a/docs/_themes/sphinx_rtd_theme/theme.conf b/docs/_themes/sphinx_rtd_theme/theme.conf deleted file mode 100644 index 3896d4d38f..0000000000 --- a/docs/_themes/sphinx_rtd_theme/theme.conf +++ /dev/null @@ -1,11 +0,0 @@ -[theme] -inherit = basic -stylesheet = css/theme.css - -[options] -typekit_id = hiw1hhg -analytics_id = -sticky_navigation = False -logo_only = -collapse_navigation = False -display_version = True diff --git a/docs/_themes/sphinx_rtd_theme/versions.html b/docs/_themes/sphinx_rtd_theme/versions.html deleted file mode 100644 index 8b3eb79d25..0000000000 --- a/docs/_themes/sphinx_rtd_theme/versions.html +++ /dev/null @@ -1,37 +0,0 @@ -{% if READTHEDOCS %} -{# Add rst-badge after rst-versions for small badge style. #} - -{% endif %} - From 3a907b69aa173fbf76026d659afb98f1d33a6e8b Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Thu, 14 Jan 2016 13:57:02 -0700 Subject: [PATCH 45/88] add siphon to ci ymls --- ci/requirements-py27-min.yml | 5 ++++- ci/requirements-py27.yml | 5 ++++- ci/requirements-py34.yml | 5 ++++- ci/requirements-py35.yml | 5 ++++- 4 files changed, 16 insertions(+), 4 deletions(-) diff --git a/ci/requirements-py27-min.yml b/ci/requirements-py27-min.yml index a63548b462..40246e5e72 100644 --- a/ci/requirements-py27-min.yml +++ b/ci/requirements-py27-min.yml @@ -1,4 +1,7 @@ name: test_env +channels: + - defaults + - http://conda.anaconda.org/Unidata dependencies: - python=2.7 - numpy==1.8.2 @@ -7,6 +10,6 @@ dependencies: - nose - pytz - ephem - - netcdf4 + - siphon - pip: - coveralls \ No newline at end of file diff --git a/ci/requirements-py27.yml b/ci/requirements-py27.yml index b25522b2ca..c01d2966c3 100644 --- a/ci/requirements-py27.yml +++ b/ci/requirements-py27.yml @@ -1,4 +1,7 @@ name: test_env +channels: + - defaults + - http://conda.anaconda.org/Unidata dependencies: - python=2.7 - numpy @@ -8,6 +11,6 @@ dependencies: - pytz - ephem - numba - - netcdf4 + - siphon - pip: - coveralls \ No newline at end of file diff --git a/ci/requirements-py34.yml b/ci/requirements-py34.yml index 680baa8f59..72074c4b65 100644 --- a/ci/requirements-py34.yml +++ b/ci/requirements-py34.yml @@ -1,10 +1,13 @@ name: test_env +channels: + - defaults + - http://conda.anaconda.org/Unidata dependencies: - python=3.4 - nose - pytz - ephem - - netcdf4 + - siphon #- numba - pip: - numpy diff --git a/ci/requirements-py35.yml b/ci/requirements-py35.yml index 8903f9b621..da4affb945 100644 --- a/ci/requirements-py35.yml +++ b/ci/requirements-py35.yml @@ -1,10 +1,13 @@ name: test_env +channels: + - defaults + - http://conda.anaconda.org/Unidata dependencies: - python=3.5 - nose - pytz - ephem - - netcdf4 + - siphon # - numba - pip: - numpy From 29a173974b0bb10635cbdbbcae808101f938e5fb Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Fri, 15 Jan 2016 14:27:54 -0700 Subject: [PATCH 46/88] Fixed test_temp_convert() --- pvlib/test/test_forecast.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 86e29d5391..4a33fff302 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -21,7 +21,7 @@ _longitude = -110.9 _tz = 'US/Arizona' _time = pd.DatetimeIndex([datetime.now()], tz=_tz) -_models = [GFS, HRRR_ESRL, NAM, HRRR, NDFD, RAP] +_models = [GFS, NAM, HRRR, NDFD, RAP, HRRR_ESRL] _working_models = [] _variables = np.array(['temperature', 'wind_speed', @@ -103,7 +103,7 @@ def test_gfs(): def test_temp_convert(): amodel = _working_models[0] - amodel.queryvariables = ['Temperature'] + amodel.queryvariables = ['Temperature_surface'] amodel.data = pd.DataFrame({'temperature':[273.15]}) amodel.convert_temperature() From 89c856e0ccd116ba0e03869c56fafae546e0e6ee Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Fri, 15 Jan 2016 14:44:10 -0700 Subject: [PATCH 47/88] Added exception for HTTPError --- pvlib/test/test_forecast.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 4a33fff302..b637678886 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -10,6 +10,7 @@ from nose.tools import raises,assert_almost_equals from nose.plugins.skip import SkipTest from numpy.testing import assert_almost_equal +from urllib2 import HTTPError from xml.etree.ElementTree import ParseError from pvlib.forecast import GFS,HRRR_ESRL,HRRR,NAM,NDFD,RAP @@ -48,7 +49,7 @@ def test_fmcreation(): else: try: amodel = model() - except ParseError: + except ParseError,HTTPError: pass From d67cc101d9ef987e6ac48a794ef8ef2c68cf9195 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Fri, 15 Jan 2016 14:52:06 -0700 Subject: [PATCH 48/88] Added HTTPError exception --- pvlib/forecast.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/pvlib/forecast.py b/pvlib/forecast.py index c47e738284..003d21f6f4 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -3,10 +3,11 @@ retreiving forecasted data from UNIDATA Thredd servers. ''' import datetime -from xml.etree.ElementTree import ParseError from netCDF4 import num2date -import pandas as pd import numpy as np +import pandas as pd +from urllib2 import HTTPError +from xml.etree.ElementTree import ParseError from pvlib.location import Location from pvlib.tools import localize_to_utc @@ -126,8 +127,8 @@ def __init__(self, model_type, model_name, set_type): try: model_url = self.fm_models.catalog_refs[model_name].href - except ParseError: - raise ParseError(self.model_name + ' model may be unavailable.') + except (ParseError, HTTPError) as e: + raise e(self.model_name + ' model may be unavailable.') self.model = TDSCatalog(model_url) self.datasets_list = list(self.model.datasets.keys()) From 5ceabd596d9ba4717a1e42e1df3e26f1a6b704ef Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Fri, 15 Jan 2016 14:58:07 -0700 Subject: [PATCH 49/88] Updated HTTPError exception --- pvlib/forecast.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 003d21f6f4..3f9fa4cd46 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -127,10 +127,14 @@ def __init__(self, model_type, model_name, set_type): try: model_url = self.fm_models.catalog_refs[model_name].href - except (ParseError, HTTPError) as e: - raise e(self.model_name + ' model may be unavailable.') + except ParseError: + raise ParseError(self.model_name + ' model may be unavailable.') + + try: + self.model = TDSCatalog(model_url) + except HTTPError: + raise HTTPError(self.model_name + ' model may be unavailable.') - self.model = TDSCatalog(model_url) self.datasets_list = list(self.model.datasets.keys()) self.set_dataset() From 432b412373a82fa2497a401c6d5fe346f1c35f08 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Fri, 15 Jan 2016 15:31:15 -0700 Subject: [PATCH 50/88] Updated HTTPError exception --- pvlib/forecast.py | 2 +- pvlib/test/test_forecast.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 3f9fa4cd46..ae6956901e 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -6,7 +6,7 @@ from netCDF4 import num2date import numpy as np import pandas as pd -from urllib2 import HTTPError +from requests.exceptions import HTTPError from xml.etree.ElementTree import ParseError from pvlib.location import Location diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index b637678886..01625ad86e 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -10,7 +10,7 @@ from nose.tools import raises,assert_almost_equals from nose.plugins.skip import SkipTest from numpy.testing import assert_almost_equal -from urllib2 import HTTPError +from requests.exceptions import HTTPError from xml.etree.ElementTree import ParseError from pvlib.forecast import GFS,HRRR_ESRL,HRRR,NAM,NDFD,RAP @@ -49,7 +49,7 @@ def test_fmcreation(): else: try: amodel = model() - except ParseError,HTTPError: + except (ParseError, HTTPError): pass From fbcf180ea8aa8fccc17a3c0ba17576cb833e6141 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Fri, 15 Jan 2016 15:47:07 -0700 Subject: [PATCH 51/88] Modified test_data_query --- pvlib/test/test_forecast.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 01625ad86e..e0a9974d37 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -46,6 +46,7 @@ def test_fmcreation(): if model.__name__ is not 'HRRR_ESRL': amodel = model() _working_models.append(amodel) + data = amodel.get_query_data(_latitude, _longitude, _time) else: try: amodel = model() @@ -53,9 +54,9 @@ def test_fmcreation(): pass -def test_data_query(): - for amodel in _working_models: - data = amodel.get_query_data(_latitude, _longitude, _time) +# def test_data_query(): +# for amodel in _working_models: +# data = amodel.get_query_data(_latitude, _longitude, _time) def test_dataframe_variables(): From a218e95eb9423af2791b4fd7d6624d7557b28b72 Mon Sep 17 00:00:00 2001 From: MoonRaker Date: Fri, 15 Jan 2016 15:58:19 -0700 Subject: [PATCH 52/88] Reverted test_data_query modification --- pvlib/test/test_forecast.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index e0a9974d37..81c32c53f6 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -22,7 +22,7 @@ _longitude = -110.9 _tz = 'US/Arizona' _time = pd.DatetimeIndex([datetime.now()], tz=_tz) -_models = [GFS, NAM, HRRR, NDFD, RAP, HRRR_ESRL] +_models = [GFS, NAM, HRRR, RAP, NDFD, HRRR_ESRL] _working_models = [] _variables = np.array(['temperature', 'wind_speed', @@ -46,7 +46,6 @@ def test_fmcreation(): if model.__name__ is not 'HRRR_ESRL': amodel = model() _working_models.append(amodel) - data = amodel.get_query_data(_latitude, _longitude, _time) else: try: amodel = model() @@ -54,9 +53,9 @@ def test_fmcreation(): pass -# def test_data_query(): -# for amodel in _working_models: -# data = amodel.get_query_data(_latitude, _longitude, _time) +def test_data_query(): + for amodel in _working_models: + data = amodel.get_query_data(_latitude, _longitude, _time) def test_dataframe_variables(): From 16a216f58e51fe178d8e44341e8d4b8839eea44e Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Sun, 17 Jan 2016 12:40:14 -0700 Subject: [PATCH 53/88] add siphon to appveyor.yml --- appveyor.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/appveyor.yml b/appveyor.yml index ad8afa1efc..27ca25a7cf 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -32,7 +32,7 @@ install: - "python -c \"import struct; print(struct.calcsize('P') * 8)\"" # install xray and depenencies - - "conda install --yes --quiet pip numpy scipy pandas nose pytz ephem numba" + - "conda install --yes --quiet pip numpy scipy pandas nose pytz ephem numba siphon" - "python setup.py install" build: false From 9a7260b9346d5de8b6164deca46c51cdb7c1d327 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Sun, 17 Jan 2016 15:19:32 -0700 Subject: [PATCH 54/88] fix tab problem --- ci/requirements-py34.yml | 2 +- ci/requirements-py35.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/ci/requirements-py34.yml b/ci/requirements-py34.yml index e7ad389a51..2b27f722fc 100644 --- a/ci/requirements-py34.yml +++ b/ci/requirements-py34.yml @@ -11,6 +11,6 @@ dependencies: - pytz - ephem - numba - - siphon + - siphon - pip: - coveralls \ No newline at end of file diff --git a/ci/requirements-py35.yml b/ci/requirements-py35.yml index 04e1e61326..826c2fe441 100644 --- a/ci/requirements-py35.yml +++ b/ci/requirements-py35.yml @@ -11,6 +11,6 @@ dependencies: - pytz - ephem - numba - - siphon + - siphon - pip: - coveralls \ No newline at end of file From c4abc16fe4a247c8ea7e15c3827ce3e56f2dbbf1 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Sun, 17 Jan 2016 15:30:57 -0700 Subject: [PATCH 55/88] add requires_siphon --- pvlib/test/__init__.py | 9 +++++++++ pvlib/test/test_forecast.py | 25 ++++++++++++++----------- 2 files changed, 23 insertions(+), 11 deletions(-) diff --git a/pvlib/test/__init__.py b/pvlib/test/__init__.py index e49bf69687..22e99bef52 100644 --- a/pvlib/test/__init__.py +++ b/pvlib/test/__init__.py @@ -15,9 +15,18 @@ except ImportError: has_scipy = False +try: + import siphon + has_siphon = True +except ImportError: + has_siphon = False + def requires_scipy(test): return test if has_scipy else unittest.skip('requires scipy')(test) +def requires_siphon(test): + return test if has_siphon else unittest.skip('requires siphon')(test) + def incompatible_conda_linux_py3(test): """ Test won't work in Python 3.x due to Anaconda issue. diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 81c32c53f6..4c642bdfd9 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -17,6 +17,8 @@ import pvlib.solarposition as solarposition from pvlib.location import Location +from . import requires_siphon + # setup times and location to be tested. Tucson, AZ _latitude = 32.2 _longitude = -110.9 @@ -40,7 +42,7 @@ 'dhi', 'ghi',]) - +@requires_siphon def test_fmcreation(): for model in _models: if model.__name__ is not 'HRRR_ESRL': @@ -52,12 +54,12 @@ def test_fmcreation(): except (ParseError, HTTPError): pass - +@requires_siphon def test_data_query(): for amodel in _working_models: data = amodel.get_query_data(_latitude, _longitude, _time) - +@requires_siphon def test_dataframe_variables(): for amodel in _working_models: for variable in _variables: @@ -65,14 +67,14 @@ def test_dataframe_variables(): for variable in _nonnan_variables: assert not amodel.data[variable].isnull().values.any() - +@requires_siphon def test_vert_level(): amodel = _working_models[0] vert_level = 5000 data = amodel.get_query_data(_latitude, _longitude, _time, vert_level=vert_level) - +@requires_siphon def test_timerange(): amodel = _working_models[0] start = datetime.now() # today's date @@ -80,7 +82,7 @@ def test_timerange(): timerange = pd.date_range(start, end, tz=_tz) data = amodel.get_query_data(_latitude, _longitude , timerange) - +@requires_siphon def test_queryvariables(): amodel = _working_models[0] old_variables = amodel.variables @@ -89,19 +91,19 @@ def test_queryvariables(): variables=new_variables) amodel.variables = old_variables - +@requires_siphon def test_latest(): GFS(set_type='latest') - +@requires_siphon def test_full(): GFS(set_type='full') - +@requires_siphon def test_gfs(): GFS(res='quarter') - +@requires_siphon def test_temp_convert(): amodel = _working_models[0] amodel.queryvariables = ['Temperature_surface'] @@ -110,7 +112,7 @@ def test_temp_convert(): assert amodel.data['temperature'].values == 0.0 - +@requires_siphon def test_bounding_box(): amodel = GFS() latitude = [31.2,32.2] @@ -119,6 +121,7 @@ def test_bounding_box(): data = amodel.get_query_data(latitude, longitude, _time, variables=new_variables) +@requires_siphon def test_set_location(): amodel = _working_models[0] time = datetime.now(timezone('UTC')) From 8a505a14a56a2ffe6dc01350974b03d4a5a61caf Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Sun, 17 Jan 2016 15:38:27 -0700 Subject: [PATCH 56/88] remove siphon from min and 3.5 ci files --- ci/requirements-py27-min.yml | 1 - ci/requirements-py35.yml | 1 - 2 files changed, 2 deletions(-) diff --git a/ci/requirements-py27-min.yml b/ci/requirements-py27-min.yml index 40246e5e72..000c059a38 100644 --- a/ci/requirements-py27-min.yml +++ b/ci/requirements-py27-min.yml @@ -10,6 +10,5 @@ dependencies: - nose - pytz - ephem - - siphon - pip: - coveralls \ No newline at end of file diff --git a/ci/requirements-py35.yml b/ci/requirements-py35.yml index 826c2fe441..2ddce752ba 100644 --- a/ci/requirements-py35.yml +++ b/ci/requirements-py35.yml @@ -11,6 +11,5 @@ dependencies: - pytz - ephem - numba - - siphon - pip: - coveralls \ No newline at end of file From c8812787f63e3299cabc89fa1b759797c28f7ced Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Sun, 17 Jan 2016 15:44:04 -0700 Subject: [PATCH 57/88] revert to pvlib/master setup.py. rm fx README and req --- README | 14 -------------- requirements.txt | 1 - setup.py | 35 ----------------------------------- 3 files changed, 50 deletions(-) delete mode 100644 README delete mode 100644 requirements.txt diff --git a/README b/README deleted file mode 100644 index ec5435cb27..0000000000 --- a/README +++ /dev/null @@ -1,14 +0,0 @@ -Information about project files for using forecasts found on Unidata -servers to make power output predictions. - -To accomplish this the siphon library is used to remotely access -the forecast data and power output predictions are made using the -pvlib library. - -File Descriptions: - -pvlib_siphon.py - initial implementaiton of the siphon library. -pvlibfm.py - class file for forecasts from Unidata. -fm_testing.py - replicates tests in pvlib_siphon.py using class objects. - In order for this to work, the pvlibfm.py file must be in the same - directory that this file is called from. \ No newline at end of file diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 3b2bd251fd..0000000000 --- a/requirements.txt +++ /dev/null @@ -1 +0,0 @@ -netCDF4>=1.1.0 diff --git a/setup.py b/setup.py index 7775b37921..231dbd0e0c 100644 --- a/setup.py +++ b/setup.py @@ -11,38 +11,6 @@ except ImportError: raise RuntimeError('setuptools is required') -class MakeExamples(Command): - description = 'Create example scripts from IPython notebooks' - user_options=[] - - def initialize_options(self): - pass - - def finalize_options(self): - pass - - def run(self): - import glob - import os - import os.path - from nbconvert.exporters import PythonExporter - from traitlets.config import Config - examples_dir = os.path.join(os.path.dirname(__file__), 'docs/tutorials') - script_dir = os.path.join(examples_dir, 'scripts') - if not os.path.exists(script_dir): - os.makedirs(script_dir) - c = Config({'Exporter': {'template_file': 'docs/tutorials/python-scripts.tpl'}}) - exporter = PythonExporter(config=c) - for fname in glob.glob(os.path.join(examples_dir, 'notebooks', '*.ipynb')): - output, _ = exporter.from_filename(fname) - out_fname = os.path.splitext(os.path.basename(fname))[0] - out_name = os.path.join(script_dir, out_fname + '.py') - print(fname, '->', out_name) - with open(out_name, 'w') as outf: - outf.write(output) - -commands = {'examples':MakeExamples} - DESCRIPTION = 'The PVLIB toolbox provides a set functions for simulating the performance of photovoltaic energy systems.' LONG_DESCRIPTION = open('README.md').read() @@ -67,8 +35,6 @@ def run(self): 'pandas >= 0.13.1', 'pytz', 'six', - 'netCDF4', - 'siphon', ], 'scripts': [], 'include_package_data': True @@ -99,7 +65,6 @@ def run(self): setup(name=DISTNAME, version=__version__, packages=PACKAGES, - cmdclass=commands, ext_modules=extensions, description=DESCRIPTION, long_description=LONG_DESCRIPTION, From ac5922088d6cc5c3b5c652a3cf6b9183c191f673 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Sun, 17 Jan 2016 15:55:40 -0700 Subject: [PATCH 58/88] remove forecast module import from init --- pvlib/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pvlib/__init__.py b/pvlib/__init__.py index b52b2894ec..0754269e78 100644 --- a/pvlib/__init__.py +++ b/pvlib/__init__.py @@ -4,7 +4,7 @@ from pvlib import tools from pvlib import atmosphere from pvlib import clearsky -from pvlib import forecast +#from pvlib import forecast from pvlib import irradiance from pvlib import location from pvlib import solarposition From 3026230b88caf46009bc76d49714aecff057f6ef Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Sun, 17 Jan 2016 16:07:34 -0700 Subject: [PATCH 59/88] protect test_forecast imports with has_siphon --- pvlib/test/test_forecast.py | 70 +++++++++++++++++++------------------ 1 file changed, 36 insertions(+), 34 deletions(-) diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 4c642bdfd9..5e9a235f5f 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -1,46 +1,48 @@ -from datetime import datetime,timedelta +from datetime import datetime, timedelta import inspect from math import isnan from pytz import timezone import numpy as np import pandas as pd -import requests -from nose.tools import raises,assert_almost_equals +from nose.tools import raises, assert_almost_equals from nose.plugins.skip import SkipTest from numpy.testing import assert_almost_equal -from requests.exceptions import HTTPError -from xml.etree.ElementTree import ParseError - -from pvlib.forecast import GFS,HRRR_ESRL,HRRR,NAM,NDFD,RAP -import pvlib.solarposition as solarposition -from pvlib.location import Location - -from . import requires_siphon - -# setup times and location to be tested. Tucson, AZ -_latitude = 32.2 -_longitude = -110.9 -_tz = 'US/Arizona' -_time = pd.DatetimeIndex([datetime.now()], tz=_tz) -_models = [GFS, NAM, HRRR, RAP, NDFD, HRRR_ESRL] -_working_models = [] -_variables = np.array(['temperature', - 'wind_speed', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', - 'dni', - 'dhi', - 'ghi',]) -_nonnan_variables = np.array(['temperature', - 'wind_speed', - 'total_clouds', - 'dni', - 'dhi', - 'ghi',]) + +from . import requires_siphon, has_siphon + +if has_siphon: + import requests + from requests.exceptions import HTTPError + from xml.etree.ElementTree import ParseError + + from pvlib.forecast import GFS,HRRR_ESRL,HRRR,NAM,NDFD,RAP + import pvlib.solarposition as solarposition + from pvlib.location import Location + + # setup times and location to be tested. Tucson, AZ + _latitude = 32.2 + _longitude = -110.9 + _tz = 'US/Arizona' + _time = pd.DatetimeIndex([datetime.now()], tz=_tz) + _models = [GFS, NAM, HRRR, RAP, NDFD, HRRR_ESRL] + _working_models = [] + _variables = np.array(['temperature', + 'wind_speed', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'dni', + 'dhi', + 'ghi',]) + _nonnan_variables = np.array(['temperature', + 'wind_speed', + 'total_clouds', + 'dni', + 'dhi', + 'ghi',]) @requires_siphon def test_fmcreation(): From 8f970ad5400bfd106acd667e6766d5efceff4412 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Mon, 15 Feb 2016 22:56:53 -0700 Subject: [PATCH 60/88] reorganize tutorials --- docs/tutorials/README | 16 - .../{notebooks => }/atmosphere.ipynb | 0 docs/tutorials/{notebooks => }/forecast.ipynb | 0 .../{notebooks => }/forecast_to_power.ipynb | 0 .../{notebooks => }/irradiance.ipynb | 0 docs/tutorials/notebooks/tmy_to_power.ipynb | 1992 ----------------- docs/tutorials/{notebooks => }/pvsystem.ipynb | 0 docs/tutorials/python-scripts.tpl | 6 - docs/tutorials/requirements.txt | 1 - .../{notebooks => }/solarposition.ipynb | 0 docs/tutorials/test_examples.py | 43 - docs/tutorials/{notebooks => }/tmy.ipynb | 0 .../tmy_and_diffuse_irrad_models.ipynb | 0 docs/tutorials/tmy_to_power.ipynb | 1897 ++++++++++++++++ docs/tutorials/{notebooks => }/tracking.ipynb | 0 15 files changed, 1897 insertions(+), 2058 deletions(-) delete mode 100644 docs/tutorials/README rename docs/tutorials/{notebooks => }/atmosphere.ipynb (100%) rename docs/tutorials/{notebooks => }/forecast.ipynb (100%) rename docs/tutorials/{notebooks => }/forecast_to_power.ipynb (100%) rename docs/tutorials/{notebooks => }/irradiance.ipynb (100%) delete mode 100644 docs/tutorials/notebooks/tmy_to_power.ipynb rename docs/tutorials/{notebooks => }/pvsystem.ipynb (100%) delete mode 100644 docs/tutorials/python-scripts.tpl delete mode 100644 docs/tutorials/requirements.txt rename docs/tutorials/{notebooks => }/solarposition.ipynb (100%) delete mode 100644 docs/tutorials/test_examples.py rename docs/tutorials/{notebooks => }/tmy.ipynb (100%) rename docs/tutorials/{notebooks => }/tmy_and_diffuse_irrad_models.ipynb (100%) create mode 100644 docs/tutorials/tmy_to_power.ipynb rename docs/tutorials/{notebooks => }/tracking.ipynb (100%) diff --git a/docs/tutorials/README b/docs/tutorials/README deleted file mode 100644 index 7fd48b92fc..0000000000 --- a/docs/tutorials/README +++ /dev/null @@ -1,16 +0,0 @@ -In order to run these examples, you need to do the following: - -1. If you do not have an ipython profile, create a default one one using: - -ipython profile create - -2. Edit ~/.ipython/profile_default/ipython_kernel_config.py and add the line: - -c.IPKernelApp.matplotlib = 'inline' - -Now when you start an ipython notebook, you will not need to include the -ipython magic command "%matplotlib inline" to get inline figures. - -Why not include the magic command in these notebooks directly? These notebooks -are actually ran as part of the siphon test suite, and including the matplotlib -inline magic command causes issues on TravisCI. diff --git a/docs/tutorials/notebooks/atmosphere.ipynb b/docs/tutorials/atmosphere.ipynb similarity index 100% rename from docs/tutorials/notebooks/atmosphere.ipynb rename to docs/tutorials/atmosphere.ipynb diff --git a/docs/tutorials/notebooks/forecast.ipynb b/docs/tutorials/forecast.ipynb similarity index 100% rename from docs/tutorials/notebooks/forecast.ipynb rename to docs/tutorials/forecast.ipynb diff --git a/docs/tutorials/notebooks/forecast_to_power.ipynb b/docs/tutorials/forecast_to_power.ipynb similarity index 100% rename from docs/tutorials/notebooks/forecast_to_power.ipynb rename to docs/tutorials/forecast_to_power.ipynb diff --git a/docs/tutorials/notebooks/irradiance.ipynb b/docs/tutorials/irradiance.ipynb similarity index 100% rename from docs/tutorials/notebooks/irradiance.ipynb rename to docs/tutorials/irradiance.ipynb diff --git a/docs/tutorials/notebooks/tmy_to_power.ipynb b/docs/tutorials/notebooks/tmy_to_power.ipynb deleted file mode 100644 index de42ab93b7..0000000000 --- a/docs/tutorials/notebooks/tmy_to_power.ipynb +++ /dev/null @@ -1,1992 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# TMY to Power Tutorial\n", - "\n", - "This tutorial will walk through the process of going from TMY data to AC power using the SAPM.\n", - "\n", - "Table of contents:\n", - "1. [Setup](#Setup)\n", - "2. [Load TMY data](#Load-TMY-data)\n", - "2. [Calculate modeling intermediates](#Calculate-modeling-intermediates)\n", - "2. [DC power using SAPM](#DC-power-using-SAPM)\n", - "2. [AC power using SAPM](#AC-power-using-SAPM)\n", - "\n", - "This tutorial has been tested against the following package versions:\n", - "* pvlib 0.2.0\n", - "* Python 2.7.10\n", - "* IPython 3.2\n", - "* pandas 0.16.2\n", - "\n", - "It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0.\n", - "\n", - "Authors:\n", - "* Will Holmgren (@wholmgren), University of Arizona, July 2015\n", - "* Rob Andrews (@Calama-Consulting), Heliolytics, June 2014" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "These are just your standard interactive scientific python imports that you'll get very used to using." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# built-in python modules\n", - "import os\n", - "import inspect\n", - "\n", - "# scientific python add-ons\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "# plotting stuff\n", - "# first line makes the plots appear in the notebook\n", - "%matplotlib inline \n", - "import matplotlib.pyplot as plt\n", - "import matplotlib as mpl\n", - "# seaborn makes your plots look better\n", - "try:\n", - " import seaborn as sns\n", - " sns.set(rc={\"figure.figsize\": (12, 6)})\n", - " sns.set_color_codes()\n", - "except ImportError:\n", - " print('We suggest you install seaborn using conda or pip and rerun this cell')\n", - "\n", - "# finally, we import the pvlib library\n", - "import pvlib" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load TMY data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "pvlib comes with a couple of TMY files, and we'll use one of them for simplicity. You could also load a file from disk, or specify a url. See this NREL website for a list of TMY files:\n", - "\n", - "http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/by_state_and_city.html" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# Find the absolute file path to your pvlib installation\n", - "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))\n", - "\n", - "# absolute path to a data file\n", - "datapath = os.path.join(pvlib_abspath, 'data', '703165TY.csv')\n", - "\n", - "# read tmy data with year values coerced to a single year\n", - "tmy_data, meta = pvlib.tmy.readtmy3(datapath, coerce_year=2015)\n", - "tmy_data.index.name = 'Time'\n", - "\n", - "# TMY data seems to be given as hourly data with time stamp at the end\n", - "# shift the index 30 Minutes back for calculation of sun positions\n", - "tmy_data = tmy_data.shift(freq='-30Min')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The file handling above looks complicated because we're trying to account for the many different ways that people will run this notebook on their systems. You can just put a simple string path into the ``readtmy3`` function if you know where the file is." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's look at the imported version of the TMY file." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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    ETRETRNGHIGHISourceGHIUncertaintyDNIDNISourceDNIUncertaintyDHIDHISource...AODAODSourceAODUncertaintyAlbAlbSourceAlbUncertaintyLprecipdepthLprecipquantityLprecipSourceLprecipUncertainty
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    " - ], - "text/plain": [ - " ETR ETRN GHI GHISource GHIUncertainty DNI \\\n", - "Time \n", - "2015-01-01 00:30:00-09:00 0 0 0 1 0 0 \n", - "2015-01-01 01:30:00-09:00 0 0 0 1 0 0 \n", - "2015-01-01 02:30:00-09:00 0 0 0 1 0 0 \n", - "2015-01-01 03:30:00-09:00 0 0 0 1 0 0 \n", - "2015-01-01 04:30:00-09:00 0 0 0 1 0 0 \n", - "\n", - " DNISource DNIUncertainty DHI DHISource \\\n", - "Time \n", - "2015-01-01 00:30:00-09:00 1 0 0 1 \n", - "2015-01-01 01:30:00-09:00 1 0 0 1 \n", - "2015-01-01 02:30:00-09:00 1 0 0 1 \n", - "2015-01-01 03:30:00-09:00 1 0 0 1 \n", - "2015-01-01 04:30:00-09:00 1 0 0 1 \n", - "\n", - " ... AOD AODSource \\\n", - "Time ... \n", - "2015-01-01 00:30:00-09:00 ... 0.051 F \n", - "2015-01-01 01:30:00-09:00 ... 0.051 F \n", - "2015-01-01 02:30:00-09:00 ... 0.051 F \n", - "2015-01-01 03:30:00-09:00 ... 0.051 F \n", - "2015-01-01 04:30:00-09:00 ... 0.051 F \n", - "\n", - " AODUncertainty Alb AlbSource AlbUncertainty \\\n", - "Time \n", - "2015-01-01 00:30:00-09:00 8 0.24 F 8 \n", - "2015-01-01 01:30:00-09:00 8 0.24 F 8 \n", - "2015-01-01 02:30:00-09:00 8 0.24 F 8 \n", - "2015-01-01 03:30:00-09:00 8 0.24 F 8 \n", - "2015-01-01 04:30:00-09:00 8 0.24 F 8 \n", - "\n", - " Lprecipdepth Lprecipquantity LprecipSource \\\n", - "Time \n", - "2015-01-01 00:30:00-09:00 -9900 -9900 ? \n", - "2015-01-01 01:30:00-09:00 -9900 -9900 ? \n", - "2015-01-01 02:30:00-09:00 -9900 -9900 ? \n", - "2015-01-01 03:30:00-09:00 -9900 -9900 ? \n", - "2015-01-01 04:30:00-09:00 -9900 -9900 ? \n", - "\n", - " LprecipUncertainty \n", - "Time \n", - "2015-01-01 00:30:00-09:00 0 \n", - "2015-01-01 01:30:00-09:00 0 \n", - "2015-01-01 02:30:00-09:00 0 \n", - "2015-01-01 03:30:00-09:00 0 \n", - "2015-01-01 04:30:00-09:00 0 \n", - "\n", - "[5 rows x 66 columns]" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tmy_data.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This is a ``pandas DataFrame`` object. It has a lot of great properties that are beyond the scope of our tutorials." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Plot the GHI data from the TMY file" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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2eb5+lp3OwDOF535OnVuade/z9flwVFvZ9MAJY4QUTi6jk8smBnMxfc0112DF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\nHHPmzOHxx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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "tmy_data['GHI'].plot()\n", - "plt.ylabel('Irradiance (W/m**2)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Calculate modeling intermediates" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Before we can calculate power for all times in the TMY file, we will need to calculate:\n", - "* solar position \n", - "* extra terrestrial radiation\n", - "* airmass\n", - "* angle of incidence\n", - "* POA sky and ground diffuse radiation\n", - "* cell and module temperatures" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, define some PV system parameters." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SAND POINT: latitude=55.317, longitude=-160.517, tz=US/Alaska, altitude=7.0\n" - ] - } - ], - "source": [ - "surface_tilt = 30\n", - "surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention\n", - "albedo = 0.2\n", - "\n", - "# create pvlib Location object based on meta data\n", - "sand_point = pvlib.location.Location(meta['latitude'], meta['longitude'], tz='US/Alaska', \n", - " altitude=meta['altitude'], name=meta['Name'].replace('\"',''))\n", - "print(sand_point)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Solar position" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate the solar position for all times in the TMY file. \n", - "\n", - "The default solar position algorithm is based on Reda and Andreas (2004). Our implementation is pretty fast, but you can make it even faster if you install [``numba``](http://numba.pydata.org/#installing) and use add ``method='nrel_numba'`` to the function call below." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "DatetimeIndex(['2015-01-01 00:30:00-09:00', '2015-01-01 01:30:00-09:00',\n", - " '2015-01-01 02:30:00-09:00', '2015-01-01 03:30:00-09:00',\n", - " '2015-01-01 04:30:00-09:00', '2015-01-01 05:30:00-09:00',\n", - " '2015-01-01 06:30:00-09:00', '2015-01-01 07:30:00-09:00',\n", - " '2015-01-01 08:30:00-09:00', '2015-01-01 09:30:00-09:00', \n", - " ...\n", - " '2015-12-31 14:30:00-09:00', '2015-12-31 15:30:00-09:00',\n", - " '2015-12-31 16:30:00-09:00', '2015-12-31 17:30:00-09:00',\n", - " '2015-12-31 18:30:00-09:00', '2015-12-31 19:30:00-09:00',\n", - " '2015-12-31 20:30:00-09:00', '2015-12-31 21:30:00-09:00',\n", - " '2015-12-31 22:30:00-09:00', '2014-12-31 23:30:00-09:00'],\n", - " dtype='datetime64[ns]', name='Time', length=8760, freq=None, tz='pytz.FixedOffset(-540)')\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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JLdMiIiIip5BENsv93R3ETZOhTJpLC0t4IxYhYZpYlsXeRIKb6xp4rK+Xj1dU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\nEAThCYlgWhAEQRAEQRCe0P8DPL8cCOnLx7kAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(tmy_data.index)\n", - "solpos = pvlib.solarposition.get_solarposition(tmy_data.index, sand_point)\n", - "\n", - "solpos.plot()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The funny looking jump in the azimuth is just due to the coarse time sampling in the TMY file." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### DNI ET\n", - "\n", - "Calculate extra terrestrial radiation. This is needed for many plane of array diffuse irradiance models." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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hw4fZv38/y5Yto6CggLFjxzJt2jQuu+wyW+aUfsrd1ZG5EwaSVVRLQVk99z7z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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# the extraradiation function returns a simple numpy array\n", - "# instead of a nice pandas series. We will change this\n", - "# in a future version\n", - "dni_extra = pvlib.irradiance.extraradiation(tmy_data.index)\n", - "dni_extra = pd.Series(dni_extra, index=tmy_data.index)\n", - "\n", - "dni_extra.plot()\n", - "plt.ylabel('Extra terrestrial radiation (W/m**2)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Airmass\n", - "\n", - "Calculate airmass. Lots of model options here, see the ``atmosphere`` module tutorial for more details." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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TD7QunofskjrDVvuMTscy+P9+vgn/tvQjuOCshdYKpwHVisyjCo8g/MKPf78H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\nHXfcwapVq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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "airmass = pvlib.atmosphere.relativeairmass(solpos['apparent_zenith'])\n", - "\n", - "airmass.plot()\n", - "plt.ylabel('Airmass')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The funny appearance is due to aliasing and setting invalid numbers equal to ``NaN``. Replot just a day or two and you'll see that the numbers are right." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### POA sky diffuse" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Use the Hay Davies model to calculate the plane of array diffuse sky radiation. See the ``irradiance`` module tutorial for comparisons of different models." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Time\n", - "2015-01-01 00:30:00-09:00 0\n", - "2015-01-01 01:30:00-09:00 0\n", - "2015-01-01 02:30:00-09:00 0\n", - "2015-01-01 03:30:00-09:00 0\n", - "2015-01-01 04:30:00-09:00 0\n", - "2015-01-01 05:30:00-09:00 0\n", - "2015-01-01 06:30:00-09:00 0\n", - "2015-01-01 07:30:00-09:00 0\n", - "2015-01-01 08:30:00-09:00 0\n", - "2015-01-01 09:30:00-09:00 0\n", - "2015-01-01 10:30:00-09:00 0\n", - "2015-01-01 11:30:00-09:00 0\n", - "2015-01-01 12:30:00-09:00 0\n", - "2015-01-01 13:30:00-09:00 0\n", - "2015-01-01 14:30:00-09:00 0\n", - "2015-01-01 15:30:00-09:00 0\n", - "2015-01-01 16:30:00-09:00 0\n", - "2015-01-01 17:30:00-09:00 0\n", - "2015-01-01 18:30:00-09:00 0\n", - "2015-01-01 19:30:00-09:00 0\n", - "2015-01-01 20:30:00-09:00 0\n", - "2015-01-01 21:30:00-09:00 0\n", - "2015-01-01 22:30:00-09:00 0\n", - "2015-01-01 23:30:00-09:00 0\n", - "2015-01-02 00:30:00-09:00 0\n", - "2015-01-02 01:30:00-09:00 0\n", - "2015-01-02 02:30:00-09:00 0\n", - "2015-01-02 03:30:00-09:00 0\n", - "2015-01-02 04:30:00-09:00 0\n", - "2015-01-02 05:30:00-09:00 0\n", - " ... \n", - "2015-12-30 18:30:00-09:00 0\n", - "2015-12-30 19:30:00-09:00 0\n", - "2015-12-30 20:30:00-09:00 0\n", - "2015-12-30 21:30:00-09:00 0\n", - "2015-12-30 22:30:00-09:00 0\n", - "2015-12-30 23:30:00-09:00 0\n", - "2015-12-31 00:30:00-09:00 0\n", - "2015-12-31 01:30:00-09:00 0\n", - "2015-12-31 02:30:00-09:00 0\n", - "2015-12-31 03:30:00-09:00 0\n", - "2015-12-31 04:30:00-09:00 0\n", - "2015-12-31 05:30:00-09:00 0\n", - "2015-12-31 06:30:00-09:00 0\n", - "2015-12-31 07:30:00-09:00 0\n", - "2015-12-31 08:30:00-09:00 0\n", - "2015-12-31 09:30:00-09:00 0\n", - "2015-12-31 10:30:00-09:00 57\n", - "2015-12-31 11:30:00-09:00 132\n", - "2015-12-31 12:30:00-09:00 531\n", - "2015-12-31 13:30:00-09:00 583\n", - "2015-12-31 14:30:00-09:00 566\n", - "2015-12-31 15:30:00-09:00 474\n", - "2015-12-31 16:30:00-09:00 267\n", - "2015-12-31 17:30:00-09:00 33\n", - "2015-12-31 18:30:00-09:00 0\n", - "2015-12-31 19:30:00-09:00 0\n", - "2015-12-31 20:30:00-09:00 0\n", - "2015-12-31 21:30:00-09:00 0\n", - "2015-12-31 22:30:00-09:00 0\n", - "2014-12-31 23:30:00-09:00 0\n", - "Name: DNI, dtype: int64" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tmy_data['DNI']" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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VPMT+5PUHEAhK6BpaOy3byNTjC2BHaYPi+Yzcmqb2bvUzx7HfD1e14lBFi/p1\n60RJQYSVrj8iPcUskdZCamoqHnroIWzYsAHPPPMMtm7d2v+37OxsOBwOOJ1O5ObmhvzudDr1Do0G\nkdLKnofS6o3HMevbZ+u0jlY8tHx7yG9qnqVV9Q7kZKXjtGFZGkXWG4umS1PPtDj0qTYqb9UKEpC+\nxpGXnjcKE8J7fehdjM8fwPNrSyLmDX9R/MOLOzDvlim4dLz8AhCjWeW8VMzCmWJ4aPHuYzXzJ+xx\nJVJI90QaAJ588kk0NTWhoKAAHs9AAw6n04m8vDzk5OTA5XL1/+5yuZCXlye6vBEjhiItLVXXmK0g\nPz9XeqIEodW2DBs2VNWyRg4fGCBBy/06TGLghdNOy0F60LkavG6x5Opfn/R8jflwyQ+Rnh56nmdn\nZ6iOf9SobIzIzVQ1r5p1is3T6RMkp4lXfn5uxD1CbN/1/Rbtb3nDsvp/P9XWHTJPRob822dOTui6\nm9q6YLMBo4ZlIae3rnC4oTmR8Q7NGqjutvuoXda69xxpxPVXnCVr2rTM0BLYnNxMXe9D2dkZyMuL\nfGGMtc7TTstB5pDIfR/vOZorsq1iy83LbY85bXZO/PsufH65yws/10eNysHIvOjXfllVC97ZcAzz\nZ0/B0Mz0qNNk9v6ekmKTjCE1tedDd0ZGmqLtT6bnXTTcvuQl60nwwQcfoLy8HHfeeSc+++wz/OhH\nP5K18Pfffx8NDQ341a9+hczMTKSkpOCSSy5BcXExrrzyShQVFeHqq6/GpEmTsGzZMng8HrjdbpSX\nl2PixImiy21t7ZS3dQksPz8XdrvFRsdSScttae/oVLUsp3MgQdByv7ZLfPptanIiPW2gBlXwuqU+\nudvtDni9oSMjulxu1fE3Nznh61ZX7UTNOsXmaWl1SU4jxdHpgb2tG+eNjf7Cbbc74PMFQn7rFNl3\ndrtD9Bx1dHT1/15V0xYyj0dBLxOdnZ6Q5d/xxJcAgNcWXA+n0x11nrbWyHO9s0v5cOcCBNn7ud0V\nunyno1vX+5DT2Y2OjMhCkVjrbGpyIiPsBVPtPSZ4ng5Hl+j5EY3DEXntB0/r0GDfBc+vZBvD7xPN\nzU743dGv/Qef3QIBwLtfHBX9WtfdW11NEKTPJb+/57rzuH2y402m51003L7EJvWSIJlIL168GPX1\n9SgtLcUvf/lLvPvuuzh8+DD+8Ic/SK78hhtuwB/+8Afcdttt8Pl8+NOf/oTzzjsPCxcuhNfrxYQJ\nEzBr1ixrsXlYAAAgAElEQVTYbDbMmTMHs2fPRiAQwPz589nQkDSVmmLh77AxhEft8fpxpKoVF549\nPCG7OQOgyTffP760A65uH5bdOx3DREp0tfbeVydUz2vqkYqxv33+AP76r12Y8a2xuH7KOONisiCt\nh3E3VXiX1jL6s/cHApLTEFEkyUT6q6++wrp16/CTn/wEubm5eP3113HTTTfJSqSzsrLw97//PeL3\nwsLCiN8KCgpQUFAgM2wiZVJMTKS1bOv13lc9/brH00VaMnB195QGO7u8hiXS4b0yKGHVd56TjU5U\nNzrx1mdHoyfSVgw8juspZgNOjdNFqzbyVKV3Wyx4NhCZTrLXjtTU0E9oHo8n4jciK3B1e3GkqjXq\n38x6AMR6lsaTo1Q1KP+MZpXHuqZxKNmJEtMqHRBEyXakaJSQJlWpqcGq6h2Y++RGw9ZnletNU1Z8\nsSIymWQiPWvWLMybNw/t7e144403cOutt+L73/++EbERKfK3wt146u29qJJoAJgUYjyl/YEA2kTq\n3SadGG8qSp75Ow7W4Z5lRRoEJBaM8lnMSMTMSJOMKrj97OuTmi5P6vxKtAJpOdU/iCiSZNWOX/3q\nVygqKsLYsWNRV1eH++67D9ddd50RsREpUtfc0wi1qb0L48cY04JY7wIaseXHerAtW70fpZWtePrX\n00Ja6lvlwW7mJ2+xVW/eUyM5r9FJplZ7Kb4BxwcPzUv7rXLBySQnWjPPhy63Dx9vr8J3Lx+HEbnG\nVOcikkOyRLqhoQE7duzAQw89hNtuuw3r169HU1OTEbERqWLk80t6XToFE2OxpZU91VvqW5K/dxsl\nbzLxJgGJlRYNEAQB2w/WRx1BMPz8Dd9GI7bZqNoCkiXIWteR1nRpyoi9FKzfUYWSE83RZ5IzAJCM\nY6XXi/IHWyuwfkcVXv7wkC7LJ1JLMpH+3e9+h7PO6umD9PTTT8fUqVPx+9//XvfAiDSVZEVriTZk\n7/ZD9di8r9bQdYYfcjOrd/r8Ak6c6jClNL7iVDte/qgUf3xph+HrlkPpLkmUc99KBdKCIMDj9WPN\npnIsW71f1fyAutvo7jI7ivafUjFnqI7erhmbO+IYbZJIB5KJdFtbG2655RYAwJAhQ/A///M/aGmx\n3tClNDgkWmMrCz1LTfXyh6X9A80kqnjOvHVFJ/DXN3dhd5m8QVS01JeAyOl1JOLlQ4d44lVW3SY9\nkQGkup+0Wq8dUuHIqtoh4200fJrn15Xgjf8ckbF0osQkmUhnZmZi8+bN/f/etm0bhg4dqmtQRPHQ\n6/Hl7PJiR2k9AoofkNpHpOYZbbUHu95sCro8NGrP7DuuoFpclKDUlKob1d+4x+tHiwGlhZ0Ke1fR\n0vodVVj89l5Z15LW51RlXQe2H6zXeKlBNGpsqNd9ZnDdvSiRSDY2/Mtf/oLf/e53/dU5xowZg8WL\nF+seGJFa4SPaAdqUZD+75gCO1/YMC3zVN8bEvTw55X3xJEF6PHh8/gDSUiXfv2MyKp+PPgiP+pVb\n4UGu9b7TMsd+9PWvLV0vP3zfXTx+hOJlrNlUDgDo9vglptQ+ofzN0z1d933z3JHIy45/wLLObi9O\nNjpjTuPs8mJd0QlDXpDkSrSvkpT8JBPpiy++GB9//DFaW1uRnp6OnJwcI+IiUu3donJcfYkWiW6o\nviTa3hrZaEtM7GdpHEmdCVndxr21KPy0DA/NvgwXnq08CTGamYPwWEmHS3xYccnzSMEutHISHc1Z\no/V9lul1jXp80km8lDanG0tW7kNtk6v/t2jhri06gU17B9o2WKEb6USpI0+Dh2QifejQIbz44oto\na2sbaHBgs+HNN9/UPTgiNVo6jOtD2awHi5yHidahfbi1Z1TF7YfqLZNIx9rGVI0PjhaJUbzLsEIi\nM5ikpUbf4YIgfX1ZOd2b/9xWWdO5urzqV6LxycpTn6xKMpF+6KGHcPPNN+P888/v/8xsVJ07Iiuy\nxANSRhBax2mJ7VYg/DYV676l5i9aEUuuo70siXZdltAUd9thmGHxVKHQqUhaTdUGOaFEq4oS/ku8\nV4M/EMAb649g2qVnKK5ak2j3Hxo8JBPprKws3HbbbUbEQiRN7Z3crJLjmE8wY+s/D7K2hlGJJ62i\nc/T/lxXKD6obYtdpNVqb04287CGaDYFuPWLbJX0xyegkRTdWPRylla3YerAeWw/W47UF10tO/8J7\nB5GdmYb/N+ui/t9YR5qsRrLV0DXXXIM333wTFRUVOHXqVP//ESWjQECQbCQ0GG/jdzzxJdqd4nVt\nlUjUOo7avIhELsSspKf4cAOWrtqnev6aRifmP7cVL31g7AAZ6s8f7c67RDyD1ey3yFMzvpPV71cW\nw64jjdi8LzTfSNT7ByUvyRLp999/HwDwxhtvhPz+5Zdf6hIQkR7k3v7ve2YLRg3LxJ/vuFJ0GkVd\nQUGnkmA13d8N8geQuhQgeV+blr8fJQFWsLkn6joAAMWHG3HXD9XFkMhfSSRHStSraoeKU1LOtR8t\n3IiqHfFeDnHMn7xXIiU6yUSaCTMNJp1uHzobnWhs7UR2VjqyM9PNDikqMxobasWo5CliPXHukPAk\nQvd+uXsXf/RkzwAkF5w1XN/1Ba2zj1XPIaCn+7Yh6alxd8fYL8bhLK9tj9n7SSJI9CoRCfzORUlO\nMpEuLy/H22+/jc7OTgiCAL/fj9raWqxYscKI+Ih0VVbdii0H6vCL/7oIqSkDD+QFL+5AWmoKXnpw\nZuRMSouk4yBWAiRnsRHTaPYkss4D2esLoMYeWW9YaZJr1BZFi0oq1CdW7AEAWXVKE5HiIcKFnuN7\n79+3YFReJhb/epo+gQV5rHB3RAzJJlE2KdFfCCj5SL7Kz5s3D3l5eTh8+DAuvvhiNDc34/zzzzci\nNqIIWt9Cn/z3Xmw7WI+DJyKHvff5Iwd2USreh5Po9ibKU09nT729F4+8WhzxuwCRpFVkObJeTMJL\na63aoiuBrC06gY+2Vyqer+9YNGs5UEiUwxnPITYz2Y4IW5DzFSt5byob99TgubUlg250VzKGZIm0\nIAi477774PV68Y1vfAM333wzfv7znxsRG5FhfAoawbh9fgQCAt76/Cgy0jX6rGyAZHyEdCkYLjpW\nSZarM47+cpOEq9sLb5RRQcVolZSY1ROJP7xbDcWbEzvLVrK4XUcasW7LCfzp9ssx1KLVyQDxF4v6\nlk4Myx6CrIzYKYVZr56Fnx0FALi6fcjJsu7+pcQkq/s7j8eDc845B4cOHcIVV1wBjyex64rR4CN9\nA5f/2LO3duFwdWvIiF/ii03G9DUBKNzt+47Z9YkjnIK4jD5zfvP3LQav0Vyd3epfnrQu2XzhvYMA\ngF1ldsyYPDbmtHp9CZGzSdFeRp1dXvzxpR04bVgmnrpb/2o2RFYjWZz23//937jzzjtx3XXXobCw\nEHPnzsXpp59uRGyUBN7dXI63PjlsdhiSlDwXBQA+mSV3+vQirY5VUnoj3i0ECLqvSKtkijVEIlXU\ndcAfiL9qlV4EyDlu1ulIWoB03WK1p3NfI8ymdulqNjzXKRlJlkjfdttt+NGPfoScnBwUFhbi4MGD\nmD59uhGxURL4eHsVAODGy8eZG4iJd/C4HqcicVslKVbK9DqKFtxxcneJkmosWjGrHvj//WsXZn37\nbPzPdera49Q2ufDlnhr8/LrzMSQ9Vd5MFkjyzAxBVn1zC+wjIqsRTaRXrlyJm2++Gc8991zE38rK\nynDvvffqGhiRkZTmV3LzC7PzRqvpaQSo/07RY7+3OtxxLyOesH77/Na4168lvY/i3mNNoom01Dn0\nxFu74er24YyRQ/G9K84SWYbUD+LkDCxitWtfap+5Pf4oM4XOoySP1jznttj+JOojWbWjrwRJEIT+\n/yMyi14FIlLndSAZznudtqHb45NfWmrgbtR8MImI5elbPBd+uLqjJTpJTJA5xvb2Q/UR9Z1d3T3n\no9srvs9qGtU3ctxywNqj+4afmfJ6pUmCexyRCURLpG+++WYAwG9+8xvDgqHksaO0HrlDh5gdRtwO\nV7UiNcXW35cvAGuUjJj40AvPH3+9tEj2vEa+kGixpli5MhMPfck9V17+sBRHazrw/268IOZ04Uur\nsbtURga0dLhxVn5O7PUl4+lh0NCGpZUtkQPtsFoJWZRoIn3RRReFTpiWhpSUFHg8HuTk5GDXrl26\nB0eJ66UPSs0OQROL394r8hd5d/V4ky0tnx2Wea4bEMjSVftQ3eAI+U3NvtQ6GWLyLZ+SXXX0ZGvc\ny4jG4wvgYEVzfAtRQsZJqjaXlWpsKPMDgCGeXrnP7BCIZBNNpI8cOQIAeOSRR3D55Zfjpptugs1m\nw2effYaiIvklUERWIPXsYX5jDKMSySPVbdHXb53XCZIQ61hFDI6jUwwdLg+Wrtof/Y8SK1Vzruk2\nap8gSMYjJ95o0YXPpdslzkuXLEqyjvSBAwfwwx/+ECkpKbDZbLjxxhtRUlJiRGxEhjGjpFBWyVKS\nFUkHBEuEIZu53XVZfE/pHJ7YJSkIkYOpGH+cZGy8iv3T0NoZvdGfRcS7nzU5TqziQRYja0CWNWvW\n4L/+678QCATw/vvvY8SIEUbERqQZqRv4R9urIuvkiVD8fIyREJihaP8pXHDWcIwZOdT4lZuZG7IT\n24QSq5eUL3adNDCSSIKgT+nxx9ursPdYU8xpZK01bCJ5jQ3lLFhyVf2a2rux56gOAx1Z/P2SBh/J\nzGHx4sX4/PPPMX36dMyYMQPbt2/HU089ZURsZDFf7qnBmk3lZoehi1NNrv7RxeRIxO7vBADVDQ68\n8Z8j+ONLO0yJISAkWJE0WVJtREPB+Ptb12tapU41qW8EGYtk4i/zZiX3611FXQeeWxv69Vrqtnmg\nvBkHT+hXJ51tFEgPkiXS48aNw4svvhjyW3e3jI7bKem89dlRAMDPZk4wOZLEEW+dXLGHnwCgoaUT\ni14vxv/+4Ju4/MJ8Wcvr6xZsMLLB/Bcbs9evlJll+Ckx3lZVdW1o8L632qGWriMtra65E3Of3Ih/\n/vZaZMgd6EaBv78jUh89GD8skcVIJtKffPIJnn/+eXR1dSEQCCAQCKC7uxs7dphTokWDnEU+z2tS\n1S/OhWzcWwuPN4BXPi7F5RdeKzm9IAimP4NYIiSfFXZVrBDMCi9aQqjFbUHRImTVlVAZiAYitkVO\nlW4F8Ta2duGs0bG7/yMaLCQT6cWLF+Ovf/0r3njjDdx111346quv0NLSYkRsRKKqGxwYlj0Ew3Iy\nzA4lNgskQ8HMfg8xamRDIqWUVe0QdOm1QxaRizjel1Ql8/OFmGiAZB3pYcOG4eqrr8bkyZPhcDjw\nm9/8Bvv2sY9HMoYgCGhq6wr5zecP4NHXv8a858wZMtlyDxGLhROLqbtOw5cInz+g3cJEWOGw9u2y\nYzVtOFIV1lezzgdTNBGN+rOcDpjjiUZODMaIthlF+09h7pMbNV+X2GYGH3pFu8LsT2I68/kD1ns+\nkO4kE+nMzExUVFTgvPPOQ3FxMTweD5xO9UOrUnJwe/14aPk2bNxTo+t61m05gd8v3x7yW8AKIwfI\nbWwY72pE1iMI2pcuG/EACAiCJaosxOtXizdJ9q4QzdGTbdiwW99rRg+Pv7UHT4kOTgSsLTK2EXL4\nuWr0l5aAdIG0oef5G/85EvLv8OHrBRnxVDU4UCuzoaORI5RqSa+oN++rxYbdNfjV4k0cTGYQkkyk\nH3jgASxbtgzXX389tm/fjmnTpuF73/ueEbGRhR2vaYe9rRuFvQ0Q9fLVgbqI39Q8NMMfLEZJxqoM\nce3J5NoVirW7PFjxub7XjBk+2lZldghxU3ZeW+tE1uLu1uX2Y+ErO2VNG5xHh6871p7RbcAZk/3r\nk7L+6/pw+JcbSnqSdaSPHz+OZ599FgDw7rvvoq2tDcOHD9c9sMGkaP8pnD4iCxeezf65w5mVACeF\nsCdaTym2uftTbam3IAioa+5ESooNH26tULUMK55JLR3d6HSL9KRihVwtxk6zQnh9ZB1biYDj7f4u\nb2i6giVoy2azGVqlQOt1+f0B2d3++f0CGlo6cboZ/eATRSGZSK9YsQKzZ8/u/zeTaG0JgtD/We61\nBdebHA1pjuPlhlAb9cGKFixbLaNrLJ2cbNSnOtvvXtimy3L18sHWCpw9OhffmngatuyP/FpkFtEX\nRL2uP417wYiXzYaYMWmd+MaqI63mhfX5NfvxeXG1rGmbO7rxh5d2YNH/NxXjx+SqWBuRtiQT6TFj\nxmDOnDmYPHkyMjIGeki49957dQ1ssEjUumbmMr9s0UqfKEWrjqgY3Uypzm6vounVnu5l1W3qZgzS\n0uHGiboOxfN1dnux6LXiuNefDN7b0vM14OLxI1DV4NB3ZTHaGpp92xQgXcXMyCpdNqlMWmOxnlsx\noxDZZxu+lpdEB6tudDCRJkuQTKQvu+yynv5n+YldFwH9G/8rIvtYG3Q6hIeSaGdh3I0NY/5N8kke\nOY/GO/CAxChk2w/W49Ogh6QgCKpKx7R44fykuBqfyCz1Cub2WuwitQAz64GGN6wbbKJdCSkm3hjl\nrlrrUnFVhRkstyIdSCbSNTU1eOKJJ4yIZVCyUom0zx/Ar5cW4drJY3HrDReYHQ6AyJu0vb0LaamS\nbWT1J/vpoWsUykica2pClXqYvfxRqZIQROnZU0usB7wNQFqqWQ1VrXTyGM/KW99zzih/kdWL0QVd\nB8qb0epw49vfOF32Zsa7O1SNZqlxDETRSGYkR48eZXd3OrJSn5MtDjd8/gA26NylnTKhd8vX1x/B\n397aLTmX12edUkQLHWLNKX2YyTnfj9W0Yceh+pDf9EykY/W/K4AP30Qg5zzU8jjKuaaNPG+M/mC8\nfkcVXvzgUNwFQT5/AFX12lURCgQErN9RFTH2AJGeJEukU1JScN111+Hcc8/tryNts9nw5ptv6h7c\nYGC1qh1yGXXfVvuAuPPpTfjnb69FRnpqXMuJRsmzw5CHqcyV9JShGffE7eyO7I1Czun++Ft7AADf\n/sbpg75Kmdkv2lZqCxCLVJyd3T5N92VPFTjNFqc5l8K2C2o1tHTKnzhK39uFn5ZhS5QuTtUqPtyA\nNZvKsWF3DZbcMz1KDOa/Fr/1WRmG5WTgpmnnmB0KaUQykX7wwQeNiGPQslLVDivcZOKRlZGKLre/\n/99tTjdOH2FuF0nxPrzFEkk5X5aj/l2Lh39QTCkxsol7/14U+aOCAVk8vkD/i5BZbICpRdKJfUUa\nSOQ0dHR50dDaiT+8uEPT1ck6LhocvAdf2IY/3n45RuRmRP27WJuW97ZU4L+nnxs0nT63d5vNBlsc\nC955uEH+umRM4+jqeYFodbij/t0K19OXe2oBgIl0EpFMpL/97W+rWrDX68Uf//hHnDp1Ch6PB3ff\nfTcmTJiABQsWICUlBRMnTsSiRYtgs9mwevVqrFq1Cmlpabj77rsxc+ZMVetMRGaXOAWzTiRqGVdE\nZInCKKkDZsEDqiQkb3AibeION203sl6JbIGAgBq7E+Pyc0J+/2JXDb7YJV5V7c1Py3SLSYs67s0d\n3fiqpC406ep9ZixbvR8VdR149v7v6Fc6LrEJSvoKESBEXMZKvnjIqSMd/GL/5ze+xm03XIAJY4fJ\nXgeRGqKJ9EUXXSQ6k81mw+HDh2Mu+MMPP8TIkSOxePFitLe344c//CEuvvhizJ8/H1OnTsWiRYuw\nYcMGTJ48GYWFhVi7di3cbjduueUWTJs2DUOGDFG/VQnEUs9JBcFYvWqHnsaMStCBAGQMa2xEDAnH\npJfdgCBY64uVhVXWdeCRV4tx388m4VvnnyZ7vk17a9Wt0OQ60gFBQIlEjzmGMOiG0tDSGTksfJSV\nBz8vquodeOzN3bj6m2P6f1N7OQmCgK+PNOKi8SOQN3Rw5CYkn2gifeRIfF0MzZo1CzfeeCMAIBAI\nIC0tDaWlpZg6dSoAYMaMGdi6dStSUlIwZcoUpKenIz09HePHj0dZWRkuvfTSuNZPycGKdTTPPC1b\nk+XEXf9X612j8CHT2NaFinpl/TIHBPnldMFJpJnngVmp7KfFJzFZQVKYjJQ2GiutaFGUSKslp2aV\ndiuLPAN9EY2pY0ej1zlsAyDIbAgczzvhH16SVzUnWlWz7WENl9UoOdGC5e8fwpn52fi/ueq+0lPy\nkqzaodbQoT2ldk6nE/fffz8eeOABPPnkk/1/z87OhsPhgNPpRG5ubsjvUr2EjBgxFGlp5tad1Ep6\nUF2u/PzQzuXD/603b9DNONa68/NzcaqtW9a0cqZxdXmRmmpD5pDI0zFVoqu74OWmhHWmOnJkNvJP\n6/nU2+T0Rp1HjdzcTAwfniVr2hEjsjFqWGbUdUvl0fn5ucjIiH6JZmamY2jWkJBpw/kAlDcMXEvD\nRwyFx+sPmcft9WNHSR2uuvQM2d0Kdrr9OF7vxN/eUD5IyYgR2RBSB67dWMdi5MhsjMjt2XdZJg2/\nnDcsCyNHavPipNTx2nacdlqO9IQKKD33c3MzDb8PBfv98u2Kps/ITFcdr5JtnTZ5LIYNC/0ylZKa\nEjJ/Vm8sG3efRGtHN35y3URVcWVnZ4Qsd9SoHAzNGrge8vNzo/YjHTzPyBFDMXKYvHtW8HxDRO4/\n/csdmYN1m4+HzJsq0ql1fn4u7E5PyL/jKUvIy4s8Xnl5mSJT9xg1KhujZO6HYO5jTQCAWrtL9vOu\ns9uLnYfqcc3kM/t/C58mmSTb9iihWyINAHV1dbj33ntx66234gc/+AEWL17c/zen04m8vDzk5OTA\n5XL1/+5yuZCXlxdzua2tCloKW1yHa+DGYrcPdAOUn58b8m8jNAe1wI61brvdgfb2LlnTypnmjie+\nRGqKDS///rqIv/klujUJXm54yUhLswvpvcUgbW3ytk2Ojo5upMss42lucUHwDvReEbxuqS7d7HYH\n3O7Ini8AoKvbi7Teh5CA6Nv0zKp9If9ube0M6RbQbnfg7S+O4fNdJ3HjlWehYOb5UpsDACgurUdx\nqbpSnpYWF9qcAy+PsY5FU5MTvt7eB7o6jemFIFxHexeaTUrigfjP1XiX53R2G34fikd3lxeNjcpH\nrwQAR4f8bfV7/WjvCH0OBQJCyPxdXV7Y7Q4s/XdPLzTfuWQM1HC53CHLbWp2YmhQgmu3O6KW9gbP\n09LaGXIfiiV4Po/I/WdguS4crWwJmdfvj37PttsdaGsLfW7EU1LucPQcr8a2LrQ53LjgrOFwOaM3\nMuzT1OREwBN7m9YVncCeo3b8+Y4r+wtnHI6BgiO5z7sX3juIXUcacfJUO+bcdEnEfIl0XUkxI18x\nktRLgm4jWzQ1NeGOO+7Agw8+iJ/85CcAgIsvvhjFxT2lWEVFRbjiiiswadIk7Nq1Cx6PBw6HA+Xl\n5Zg4Ud2beyKyUg1IMxs++kWSSs0+n1qvhogs2nbbF7mPK3urZmjZl2vMGKCgcVLQhGbWlTfzutCx\n++yktGlfbcx+wWNScI7JOSfkHLrObh/qml3SE8ZLp3PYhihV1Ay+WBcs344nVuzpKXTRYNUfbqtE\nbZMLzji7EDxxqh0AcMqI40um0q1Eevny5XA4HHj++efx/PPPAwD+9Kc/4bHHHoPX68WECRMwa9Ys\n2Gw2zJkzB7Nnz0YgEMD8+fMHTUNDAKY2ZOp2+zE0U9ePEiF8/gCK9p/C1ItGI1dugw0LtjZU1Bo/\n1qh5Gm2bksFnTN+dgiC/32sLNLQzPQKTAzD9fFFI7IVcFqWzSvaaI73ABS9uh7Mr/q8tZh0nG6IM\nTy6y3UKUxs5ahm2B20VUVmznQ9rSLYt6+OGH8fDDD0f8XlhYGPFbQUEBCgoK9AqFonjmnQMoOdGM\nZ+//DnKyIj9dbz9Yj8nnnyaaaKu5NXyxqwarNx7HnqN2/O7my2TNY8lbkIDEyzBEGL0VPXm0/o2T\ntFTdaN7IrmYPE84kIDqtzk05SXS0ValZvS5nUk+RtOwItLxtev0BtAdVjZQVgUXuKXK5PX4EBAFZ\nEnXVyVw8OiYz67ru6zrJ3tbVn0gH32Re/qgUl1+Yj3t+rF3vKfbe+nHVDfITEyvmq0qOmW7HV+WC\nI/Zn7w9KEtx4FH5WhvFj5DVKsUKJNAAcqWo1bd1W2AVWOQ5WIudaae5w43hNu14BDPynRtVM1FJy\ni9ZypNLX18fXs5jetLhs7l66GQDw2oLr418Y6YaJtMms9IwKD+XEqeiNdv7x7oH+EaTU0Cs5Dl+u\nJR4eVjq+QmQJo9HvKcdq2nFMZnIhv8KKfiz4Hmcsm6VO4YRScqJZk76eo9WcCE7ku9x+U/sbD+8t\nSYwRIUp9QTHlC8+gv4kkPybSJEos4d3b2xWQ1QWX1Gh5L9txqF5+HW8dOYJ6sliwfDs6Oj14Yf61\nqpZlxWQp5PiZ9DAye788t7bE1PWbPUS6ZRm4T6JW7Qj68d6/F+m27k6JXjsgWOeroZ6JupUKvMh6\ndOu1gxKQzneLZLkXHaluw9dHGmVNKyB0t67ccAxbS+o0iSO4dKWxrQvdHn+MqXuINrC34JPCCiGZ\nHcNhE6uVAOgtkbbAgbAYNXtk4Ss71Y+kGC9B3bksdf4pGZgmWtMSw5NwjU9lQRAkuzG1yHtGCJ8/\noKiROsXGEulBzozSBFNuLBa5m3329UkAwPRLz5A1fbSRuoDe5EbFQ0HLOop68wcECIJgaswJtLt0\nYYPN9JcJI8muDx5lMqlTpbbJhTc/LcPMy85UFNN7Wyrw/lcViuYxigAoukjMbryq9am8+O29squq\nWcn857bC2eVl3WuNMJE2mZUa8oRHovktT8W2JlLiF43Y8ZVbGqB086XOpy6RT7XhJedWsPCVnZhw\nZh7+dPsVpj6AE/wUjIvNZr3zQk/xbKueuyk8Lqsck8+Kq3GookV6QkCkGoimHeDFNffBimZ8tK1K\n0TxHqtvEo7HKQYpCiy4XaQATaRoQcd3r2yrw6Mk20QaNye7OpzfJm1Aki+tweZGncMQ9AQI+2Vkd\ntrN7MzMAACAASURBVHhrZInOLi+yM9Mi6mSW15p7flj4WWigwbMT5DbaE0yv8KJs7XrF+uUehVVV\ndL7dSN3OYu2Hpav2axpLn1gxCYKA1/9zBBeeNVz2V0qyHibSZDiP14/jte14YsWeuJf14bZKTL9k\nDEbmZWoQmfWINYivbXIi9+wREb9LPTA9Pul61Eb7YtdJ/PuLY8jKSEWXWyQ+E/P9wd6H62B6mZBd\ns0NF1Y4+b35yBDdNPxcjcjNkxxWxftVzSmtq78Jpw7JUzy8Wm96vHlY6T7/YdRIdrtilvh2dHvj9\nAr46UIevDtTJTqS73D5s2luL70weG3UMCDLe4H5CWIDZF3/wJ3O9Q+lbfrfHj78V7pY1j9TDaV3R\nCRQfbsD/zf12zOma2rplrU9rHZ0e2d1DRSNWYnzBuOGKlyXEaHBkZtWOf39xDADEk2iTTThzmNkh\nmMZmGzx1pNcWnUC3V/9zcNO+U2h1uHF/wWTVy9DzmJxq6owrkY5FzypasnaJQSdz3z2tR/RtfuDZ\nr5Cepry/h3VbTuCLXTWoqHfg1z+6JOLv/9lRheysdMyYPFbxskkdJtI6aenoRlZGWkKVZoXX6bLI\nV39JdU2dktO8tv6wAZFEivdzodgxGJGXgTZHlFG91D4nhHhmTnKDeLfYMHh67Wju6Ebhp2Wypo03\nH3N2G1tHVUl93Xjv+2KzC1HqSFu5047g2PSq76yk5wyfP4D1O6pwtLdedmNL9OfeO5vKAYCJtIHY\n/Z0OAoKA372wDb99fqvktGY/pJQOsWpFcvZh8A3L4/VbuiFIMLESHBtsmpw7fQ82AYKlSx7NfKcz\n+xo1m5XPC7O8tv5wRCO7dpcHi9/eK28B8TRqFARL379Mi0zrru20XVzcNu2txXtbKlDdKH9kYDIG\nE2kd9PUrKadfX7Ov1i/31Bi2LlX3/jgyKLH13bVkM5a/f0j9gg0kVjok1puC0qSvbxk9iTmFS00d\nPFUbSJm+riyDye33O95TyhKjtqpZto79SMu696nYcRV1HfDE0eeyVtvY0cmeNqwqceod0KB0qskl\nPVFfMqjgjvX1kUbY3/haZVTGkWrxrURPHenQefy9L32pKTbJgQUGIxsGd4ns57tO4hvnRDZqJfOc\nanbh7NG5iuczuxRbEBKvH+ny2nY8JrM9Dw1eLJE2mdnP6NB6YHqvTfkK9OzXtbLeoX7hBhF7OdCq\nlKMveS472YZ7luk31HBiM/sqNU9Geuog3nprKtp3StYxUf1inCBtY8Lp8fySVZCjgNkvM6QPJtIm\ns/pl5Q9YfxhR0X2YBDct8Q4/REY8FMRHQ+z7e5/VG4/D3t6lPjgjmfhwT4LTSLUrLho9qLffiuT2\n9PDLpzaqWr5+pcbmn0iKGl1Cm372E/S9hBRgIq2DRHrwBN8owuuYNbV343+f2pSwoyAl0GGIQayx\nISBW4CR27w8fROKTndVod5rb2HTL/lOypjPrk7AVR3ykxBffOaV8uEmrnMOJ1HBXgPY9VyXO1pMS\nTKR1oeByscodDhAd6rW6QZsqEIZvqnV2rWqxGhta6dxR6/X/HDE7BEmJ9PDXg9zR/kiJePapujNS\n9jw6vbPqPk6BDiuI9XVPtuBlxBUjr0OrYiKtg0R97qzfUR31d5/f+tU7oknQwxAi1m1cbPtE7/3J\nsEMMdrLROaj3myAIg3r7rcjyX0kUxKZF1QkllO437UukNTxwrDNiGUykdSB2qew5asf9z25Bc3u3\n5LRG+8e7B9Dl9kX9m89vlSiVSeaGHTabLerJ07PJMbv60Csk3Zh5HNcVnbDMNWqWwb79eojrlE7Q\nA2JEY3atE1+jE32rCwgClr9/EDtLG8wOxVKYSOtB5Ibx/LoSODq92Ly/VnJao+091iT6twPlzXjz\nk/g/wRtes8Mi+zYuYr12QPkndwGWOd0U0aOuoqL1J8WJpE5P6efg3X4rUnNMapuc2HWkUZ+AFNDz\nVJKzaKUjG2pSsyN4/TECUHydmXBZNrR0ovhwI178IDHGYTAK+5E20JD0VLg9frg91qkqIedGUSSz\nQZjVVNR1oKm9C5dfONrsUFQR+0IAIGahc9IVopicxw3qPFIY5Nuvk7gKpFUckFc+Oix7WqNuHzHv\nbxZhZIn03Cc34oGCSZg04TTD1qkUhxqIjom0DsTqQUXryoznpXbC73lvfloGAHhtwfUmRBO/WP06\ni7c1FOATG4UrQau7DvbGfpSE4jylE/HlJvwFQOt+62XtEzN2XHBbQ4nVr9tSYelEOiFPPAOwaocO\npM41rz+Alo7u2BMpUFnfgbc+K7N+o0Beg9qJ1Vd0rPkS8BgIQs/Ii2YZzL1WsGqH9Xh9gYQozbUi\npWdysn3cI32wRNoEm/bWYtPeWjx7/3c0eUj95Y1dAIALzhqOKy8+Pea0Pn8Ajs7E7BdarWRMhHpK\npCO3y94m/oImRPQknRiS8PAljMF4vzBCPNfh3mNNMdu0xGvPUTu+cc5IzZebaJdxrHhbHW5U1nVo\nvNTYf7bCfVAsBEEQ4Pb6kZGeamg8VsFEOkhjWxf+9Z8juO2GC3DGqGzVy5F7wre7PDFGrlOu2+OX\nnObpt/fiaE17/78HQ6vkZCxRE+m0Aw+/stPwWPRn7vFLwtNHtre/OGZ2CGSwQ5Wtcc1v1su6IAjS\nAzdp1J5v0WvFsgcq27inFvNvvaJneZJ5tMVvNiLhPf6vr7G9pA7/eOA7yM5MNzYmC2DVjiBvf34U\nh6ta8dp6+Q0zopN5MSh4Qnu8fnjF6r72klPyGpxEK5kvkSXAKOeqJPlh6xcwucGb5R9ulHgsfEr1\npaKaF0BYYJsVhRBj4kQd7VeJj7ZV4rfPb5XMOwBge0kdAKCxtUvvsCyJiXSQvhapAQObpsq9V921\nZLNk4wxBZdxGbO+7m8vR0Sk9HLUgCDjV5NI0uS87GV8Ji1WNHpGlaHohgfu/MzOZHSwvLGQcK59S\ngiAgIAh4rHC3qvnFSoV1H9lQh2Vq/b1WMkaRCcz4qrq26ARaHW7UNbsG4jA8Cn00tXWJjuSsBhPp\nKOI9Z+XOrjSvkWpMqDYfNiKR/nh7FQ6UN0tOt3nfKTz8yk58vK1Ss3UvXbVfs2VZyUVnj1A8TyLe\nCAOCYG4ym4g7jSytpaMbxYetOahFQ2sXFr6yEydOqakDLP7Sq3syKGPxZlbzO1zZgi0qu5I1Iury\nU+34/T+3oabRGbpuIfi/k+Nm+Pvl27Fk1T7NviwwkQ6iVXVh2eea1l/OVJzkNgB+C3UOWXKiJ9ne\nVWY3ORJrS5L7mSz3LCtCWXWbaetn1Q7Smqvbh+XvW3dQi7rmTs2XmWj3LK3DXbxyH/4t0eZAdJ0G\n7LvCT8rQ1N6NtUUnVC8j0Y6xxyvdrkwONjaMwqhzQQBgs8CZZ4EQIqiJKfmbTYZTtpMKPytDrd0l\nPaEFHa+NrNtvFCteH0RWJVq1Q+cvS8l8mUZ9mdf6gTf4HqCaYYm0RrYfrMfz60p6P0Mn0CVtA6x0\nCxroRcQ6MVmRmr2TqEm02RLpciayKt2vIxkr6Pb44fb48fYXx7BmU7nOASkntglG3oNi5S+8F0bH\nEuloVJwsL39UCgB467OjaG6XP9iKFc5LrWt2xPMiMdBiXJtYiOLFqh1E8TOkgEmiVPWJFXtC/v2z\nmRPEJzblISS+zlaHW9c1S3YdKMNgvVeyRDqIFl82Nu2t7a/nK0UQhJDr5pOd1XGNeJgUp3DvQahr\n7sTz60rMjcXK+KZhHO5qIvlEHqR690KaDJep+IAnQLtTfSItCIIxXfYlw0FQgYl0FEa9VQlCaB/O\nqzcex5JV+wxZd2gc1jn7++7BAUHAbqUNDgfB4DJ9eoZuNjuKwSHZdnOX2xfXCzuRGoKQWCOrmhGp\nzy+aSsf1fHtnUznue2YLjkcZRyLKmsL+LUT9b720O92WyknkYNWOIDX2nm5f3F7pd+dAQEBFXQfO\nOSMXqSnq3kf+9tbuiM7O42ktrfYys8o5+9S/9+CIib0zEIUbkZuRcDd1KU+s2IOTYV1cEelO58vo\n76v3I2NIYg9R3dAS/fkf9RakYH9+urMaQE+vWOePG6YishhxqAspqhOnOvDXN3dh5rfGYs6si+Jc\nmnFYIh2kuaPn04nYyRzsi901eKxwN97/qkLBGkJTXTkjBhnBKmkCk2j5AgFBsl9xit93Lx9nmetD\nC+9tOcEkmkyh9wi61Y1OHJNR4pqIBMRX9TQlpWfuaMcgEBDw93f2o6rBAaCnLvb6HVUD61Zy2OI8\nxGuLehqAbtqnrr9tsyRVifSmfbXIGzoEUy7I12X5Hq8fQ9J73niPVPWMlnegvBk/mRGjwYLV6VBH\nIJkSD6v6YGul2SEMCjYbkuqE5nlDekrEHh+63D5sOVAX8bul4o0zk7b13sjqWzojXqRPNblCBks7\n2eg07WW7tDIxRyFOqkT6zU/KAACvLbhe82U3t3fjwX9uw3VTzsTtN1w48AcLXWxqQ7HQeCxE1iJY\n6hInsrRY14pVq0it3ngcmy1eAiqnbvIrH5Vi/JjcqH9LTbHB5wd2l9mVtz1SIJHqwGspaat2dHb7\n8PKHpahtUt93riAIcPeOfFN+queT0cY9tZrER9obPE0NySjbDtajuNSaQzkTWU3MEun+/2ctja1d\nuq9DTnXRWAQhsnu6gCCgsW0g9m0H6/G2yMiJsZpxSR2S0CHCY0/r6PTC7ZE3WuCaTeV49PXiuF6w\nAhYpBUzaRPrT4mpsP1SPZavV94Lx2seHcfeSzWh3upEi0mJWzmH0+QO9n0qscdCD9dTssF5cRFZQ\n2+RC2UnW3SeSoyfhE/+b1bzxn8OotUevxiD2XHz5w1LF6/nlY58rnkdKjd2FBcu3o6xaujpErD6i\niw/LLyiQKnF+bm0J7n92i6xlrd9RheoGZ8y2Ypv31eKuJZvQ4fJE/K38VDt++dRGFO3X5muCIAj4\neHslKus7FM+btIm0x9fzVhRP34lbD9YD6Kkz5A978+nLq+XcHN76rAyLXitGl1ubcd0tz4I3TCIi\nMo8VC2yK9tehozN6jrD/eFPU37cfqtczpH7B+yvWrjtc1YrObl/MZcXqOe/giZbYcQQ/0MPiaHd5\n8NIHh0J+82jYicK/PimDxxvAvijHYmtJz3FYu1mbESpr7C68u/kE/vLGLsXzJlUd6WD9Q01rdO2q\n/YRgb+vCDoWfhneX2fG9kdmq1teny+3Ds2sO4AfTz8E3zxkZc1q9W1MbYcmqfWiP8tZKRETGiPUo\nSbTHjKPTi9yhQ0xbvxD2L7Fk+IOtlZKNiG2xMmmVdSIfWr4NXW6/MQO9xKDVaeXxqi/o1L1Eev/+\n/bj99tsBAFVVVbjllltw66234tFHH+1/41q9ejV++tOf4uc//zk2bdqkyXr7h5rWZGlRlm+Tt4aH\nlm+HR0a/1MGeX1eCd744KjldZ7cXS0Wqrmw7WI+yk21YsjJ21Zbw0RXVcnV7cbBC3oiOejhUEfut\nmoiI9BarjnSCZdJmEy8IViwlVrIsWUk6+qT2tm7Dkuho4WveJiqOBeqaSL/88st4+OGH4fX27OzH\nH38c8+fPx4oVKyAIAjZs2AC73Y7CwkKsXLkSr776KpYsWQKPR4OSRQVVL+QIL7XVO1E/KGOY8Q27\nayQ/y8ihxTa8/GEplq7ar2uLYCIisq5YH241KrMZNEJGFIxzx4mVSCuubqMyjlj1oGUt0oCeBMTa\nwcmaV8M4IowfPx7PPfdc/8EqLS3F1KlTAQAzZszAtm3bUFJSgilTpiA9PR05OTkYP348ysrK4l53\nX+V6QRA0qZvV1390BBPvDOH1tvs0tnaiyx27zlQwLfZPXz+UNXYnSx6IiAajGLf+ZKhCaCYtBmQJ\nt27LCbQ53THnjfeo7S5rxJ1Pb8KhSpFCPxkriNVY0gqnla6J9A033IDU1IEENDhhy87OhsPhgNPp\nRG5ubsjvTmf8nYH3vVz4AwLmPrkx7u5nRg/PijsmJdS+Hbk9fix4cQfWFp2Qt54UW9wXyntb5K2L\niIiSV6xCFCskPErFUUgZt9Bu5+Lbee3O6F/5P9pWpahtkZpCsr5REtdsKseHWysi2ptZpeAtnmNt\naGPDlKDODJ1OJ/Ly8pCTkwOXa6CvZ5fLhby8vJjLGTFiKNLSREqIAeTn5yI7OyPkt8M17bjkwtNl\nx5qfP5DcDxs2FHk5Q0L+lpHZs+tSUlNCptWMDVGXG/xbVlhDiJzsDAzNzYw5T7iZV5yNkSPia9gY\n3NAhe+gQ5J+mw/4gIiJLGzUqB2lp0cvnhg3LiuvzudFycjKQm2dsARow8LwOrg4xalQOMjLSFS+n\noaUTn+2siutrwPBhQ/tjanTIS7qDc46+Xjyq6h2oqnfgwnNPw/TJY/v/PmpUDoZmRm5b8DLy8jIj\n8pisrJ55UlJsqnOwkSNzkD+i5xi3B/WqpnR5hibSF198MYqLi3HllVeiqKgIV199NSZNmoRly5bB\n4/HA7XajvLwcEydOjLmc1tbYpct2uwOdnaEH3Ol0w253yI41eNr29k4EvL6Qv3l6q074fH5Fy5XL\nFhZDtLhcrshtbGmJHIAmVnxdLjeamrUbDtTV6YG9Sfv9QURE1tbU5ITPHz1pa23tTKhEenReBjra\n9R+sJVzf8zo4kW5qcsLjkV9ds285C1/egbrm+L7Gt7a5YLf3JK1tbfKWFZxz+MPOh7rGDtjtA4lq\nU5MTWRmRqejDL3zV/98OR3dEHtPV3dP2LhAQVOdgLS1OwNezX9uC8srw5Ukl1oYk0n0V3RcsWICF\nCxfC6/ViwoQJmDVrFmw2G+bMmYPZs2cjEAhg/vz5GDIk/i5nwi/XeD+NRHx+0PmGELw28dgjf7fC\nbSoRP+EREVF8Ynd/J0CwwgMqYQhR/ksZI0ZtlBKeKoU3fBQ7Z/aXD3S4oCTdKq1sgSAA3zw3dre/\n4YLXsXLDMUy/9AycNTpH1ry6J9Ljxo3DypUrAQDnnHMOCgsLI6YpKChAQUGBquV7fX6kR6nmEb7j\n403uDE8O1XZ9o/BG1TOyobJ5iIiIwknVkU6kZ40A8+pItzvdOBVckmzijtOyrnY0bq8fQ9JTkJaq\nTZO9p3u7/H1twfWS0x6saMGM3momwV9LPvv6JL7YVYNXHrpO1joTekCWNZvKsX5HFR77329jzMih\nIX8Lf+tJtBbDsUYT6v857PfGti6UVSsfzljLi8OKo1cREZH+YpZII7GeD/9/e/cdFtW1PXz8O/QO\n0hFQsSCI2HsJ1mg0TWNirtHoNT1qboymGzUxxsRoTPLmGjVGY28kYhcrFlRABAER6b2JoCidmfP+\n4Z3zE+yAzgzuz/PcG2cYYG3OzNnr7LP23poM9dNlp2vsEFjH/eA0LiqpgIr7bHQy47/B2FmZ8OP7\nfe76mnut2lEfUUlXeKpjU/4+loRhrdr+h8kZdTqRVs8GjU0twql2Il3rtQ39oZDXkX5Eb/AaV4EP\nOCZ9ODyTw+GZD/l7tGXOrCAIgtBY3exrdKm2Q3M945222dalixCA+Iyr/Lwt6oFee6W4/N4vuMPb\npiHeSXqKmzsa7jmdVq+fo9OJdA2132O1Szvq+aGo/R5u4B3I7/n77vb5abDPlW59PgVBEAQtdK9k\nT9dGpKOTC6lWPtyuxI+KLg54Xb565/rsuiTAd97Z8P/2CqkrPT1Fg5TvNIpE+uab7M47D97rmQem\ngYvou91WkCTprrsU1ZWufUAFQRAE7SNx9+7y5mRD3RmRfti7u9qoIf7ctyaqD5Oz6sKh1lMoGmRA\n8pFuyPI43fbHaMCjqFAoaiTql6+WyTVL99zDvoHUeCPf+vwDpsDbghLJu8eSgbo0SiAIgiBopzMX\n8ii6y055ujbZUJtIErRytdZ0GA+VK9y1rrmhhqQbwM3crv4aRSJdXFp123MNmeDW/lGfLjvN2bj8\nhvsFd3DXq8C7/fse9p1JZ9YfIXf5PeLkJgiCINTf5sMJVFTeeXLZzb5GdDb38+ee2Nuek5BwsLl9\ns7XH7WGO3t3GMusycfBRTTZUKLhvoyRJorzi3mt4N4pEurpa9Ug/oAp47PUPNScb3vrvuq0tqdTV\nab+CIAiCztPFOl9NCI7Ovf1JiTrmIJorA23IEtRHVSZyM4++d6vWBV7i5S/23PM1jaNGGukOkwFr\n/uXrcxxi04ru+rWGrle+oweYeFhX+0PTaWpXvy3CbyVGuAVBEITaopOvYGR4+54Pwv1psku96x3x\ne8grLCWroOF2TH6U7pevBEVm3/dnNIpEGu67aEe93GtplEeVRqtq1EXfbdmO+v+etNzrpOU23Jbe\nujYzWxAEQXj0jpzL0nQIOquuA9INserIg+2yXNPnK87c9WsNNvaoRZMZG0Vpxx1rr7Toj1wndxmF\nliQoul7BX/viuFpy50kdmpRbWErULVt7CoIgCIJQD1oyOPWoo1DvMljbo7zz3xB/2kYxIn0gLIMD\nYRk1nntUxem3eewJu8Ta/XE19qHXJmfj8h/5RExBEARBeFJI8v9p4pfXbfm7utC7yyoR90qz6h9T\n/RvVKEak7+RxrmFYdp8ZnXVRY1JhrRHpkvK6/b6AE8n1DUsQBEEQhMeoulpFlVZsDlP/pLPwesPc\nSW+oFK8hrg0axYj0ndTnVoCp8YNPiMi6XMKUJcfr/LseRO2VOh5mD/hb7QxObZiABEEQBEF4LL76\nM1Rjv/vWbKMhFv/afjyZ5/q0qP8P0iKNN5Gu/fgB8uo2btYkZF6juZPlI4npYahz5bNx+ZyLvyw/\nX1hcTnJ2sYaiEgRBEAThiaSh8pJHVWFQUl5N1uWSev+cRptI12XcXxvnJy4NiKnx+Mu7bKwiCIIg\nCILQkOqym3LDu3t2Vp+IIhMLiEwsqMdPuKnR1kjr1bqEUY/wBoamyzsHqVQSv2w7z5nY/y2Argub\nwwuCIAiCINzDGz8cafgf+ojz6IfKwO7z4se5DG/jHZG+iy1HEgGYONyLvKIyzidd4XzSFXq1c5aP\ni5asNCMIgiAIgvDQGiqPORSWQXz6VdLyrlNY3DATBSMTbh8F3nQogfjMq3d8fV3GOC+lX8XCzBA3\nB4uH/+b/qaq+83b3telsIn2vqw1Jkqi9isquU6mMeqql/LiySomh/p2Pjjbk0doQgyAIgiAITy71\nYGND+vXvqNueO3g24w6vrKm0vBpDAz0MDe5fTLFwUwQAqz4b9PAB/s87i4490Ot0MpEOvZjHsh0X\n7vr1N384irHRvVfeuNPsU62q7BDD4oIgCIIgPOHOxV/m6o0K1h+Ix8LUkBf6eZBzpfS21zXETo51\noZOJtH9Q0j2/LgHllfceklfeax0XkcQKgiAIgiBo3KmYXE7F3JzLdqOsig0H42/56s18be3+OIIi\ns+/4/RWVSnafTmVAJ1fsrE0aPD6dnGz4IMP696NSaW7+qSAIgiAIglA/6nHPuyXRAIfCM9hzOo3/\nd4eSkoagk4l0Q+y7LkkSqruMSsdnXmP13ov1/h2CIAiCIAiC5pT+bzfo7DuUgzQEHU2k6/8zlCrp\ntgqOWxP0E1E59f8l9ZCYeY2ft53XaAyCIAiCIAi6TP9/C0soVY+mhlo3E+kG+BkqSXqs6wzWRVQD\nz5QVBEEQBEFoLMorlUQn3y9X+l/W+IhSPp2cbNgQqbSq1oj0V3+GNMhWkYIgCIIgCMLjsWTrve/e\ny3uEPKLfr5Mj0rXXiK4LlUpCdUsmLZJoQRAEQRCExuN0TC7XSyvlx/JO1g1IN0ekGyKRlsQqd4Ig\nCIIgCI3VH7tjazxesTP2Lq+sO51MpOuyakdrN+saj49HZmNmopPNFwRBEARBELSATmaSdRmQtrEw\nrvH48LnMhglGEARBEARBeCLpZI10Q6wjLQiCIAiCIAj1oaOJ9MN/z8XUQlbubvjaGEEQBEEQBOHJ\n9MQk0iXl1fJe7YIgCIIgCIJQX7qZSDfIliyCIAiCIAiCUHc6mUiLPFoQBEEQBEHQNJ1MpHUyaEEQ\nBEEQBKFR0cmcVKzaIQiCIAiCIGiajibSmo5AEARBEARBeNLpZCItCIIgCIIgCJqmk4m0KO0QBEEQ\nBEEQNE1HE2lNRyAIgiAIgiA86XQ0kRaZtCAIgiAIgqBZuplIazoAQRAEQRAE4Ymnk4m0yKQFQRAE\nQRAETTPQdABqKpWKuXPnEh8fj6GhIfPnz6dZs2Z3fK3YIlwQBEEQBEHQNK0ZkT506BBVVVVs3ryZ\nmTNn8v3339/1tZIkPcbIBEEQBEEQBOF2WpNInzt3jv79+wPQsWNHYmJi7vramJTCxxWWIAiCIAiC\nINyR1pR23LhxAwsLC/mxvr4+KpUKPb3bc/1di194nKEJgiAIgiAIwm20ZkTawsKCkpIS+fHdkmhB\nEARBEARB0AZak6l26dKF48ePAxAZGUnbtm01HJEgCIIgCIIg3J1C0pKZe5IkMXfuXC5dugTAggUL\n8PDw0HBUgiAIgiAIgnBnWpNIC4IgCIIgCIIu0ZrSDkEQBEEQBEHQJSKRFgRBEARBEIQ6EIm0IAiC\nIAhCA1AqlSiVSk2HITxGIpHWoMDAQMLDwzUdRoPYtm0bAQEBmg7jkSotLWXnzp2aDuORSUlJoays\nTNNhPFKFhY1zM6fMzExSU1M1HcYjFR8fz/r16ykoKNB0KI/MpUuXOHDggKbDeCSCg4P58ssvKS8v\n13Qoj8yGDRtYsGBBo3yPrlu3jqVLl2o6DK0kEmkNOHr0KO+//z5hYWE0b95c0+HUS0hICO+99x7x\n8fF0795d0+E8Mps2beLdd98lLS0NlUql6XAa1KVLl/joo4/YvHlzo02kT58+zbRp0zh9+jSNaX51\ndXU1P//8M9OnTyc7O1vT4TwSlZWVzJ07lx9++AEnJyfs7e01HVKDq6io4LvvvmP+/PlUV1drOpwG\nVVRUxMcff8zWrVt54YUXMDEx0XRIDS49PZ3Ro0eTnp7OO++8g5OTk6ZDajCxsbFMmDCBjIwMB4Sq\n9wAAIABJREFUnn/+eU2H88gcP36cmTNncvz4cSorKx/qe7VmZ8MnhSRJ/PTTT0yePJlRo0YRFhaG\nQqHAzs5O06HVydKlSxkwYAD//ve/2bt3LwUFBXTs2FHTYTWozZs3s2/fPtauXUt2djYFBQU4Ojpq\nOqwGcfbsWaZMmcLixYvp16+fpsNpcCqVihkzZlBYWMjcuXMb1ZKaN27cYMmSJSiVSjZt2sSNGzeo\nqKjA2NhY06E1qPDwcAoLC1m4cCFZWVkcO3YMX19fbG1tNR1ag1CpVKxYsQKVSsXatWtJTEwkKSmJ\nVq1aaTq0BhEWFkZ1dTW//PILAQEB+Pv706tXL9zc3DQdWoPJysqiZ8+ejBkzBn9/fyRJok+fPnTq\n1EnTodVbYGAg/fv354033mDjxo3Y2NgwePBgzMzMNB1ag1m7di1nzpxh/PjxlJaWPvRgmf7cuXPn\nPprQBDWlUklGRgY2NjZUV1ejUCg4c+YM69evJy8vj127dqGnp0ebNm00Heo9SZKEJEnExMRgb2+P\nnp4e1tbWrFy5kiNHjmBiYsKqVatQKpV06NBB0+HWy7Vr1ygrK8PU1BRTU1O2bt1KQUEBGzZs4Pjx\n48TGxtKxY0edT1qKi4sxMzOjqqqKX375hfDwcJKSkujSpYumQ2sQCoWC5ORkPD09uXr1KsuXLyc3\nNxdra2uaNGmi6fDqJC8vDwsLC4yMjAgJCcHV1ZW///6bHTt2cPLkSYyNjWnRooWmw6yX+Ph4ioqK\nsLW1paioiPj4eI4ePcr58+dJSUnh7NmzWFtb4+LioulQ6ywzM5Pq6mrMzMzIycnh5MmTREVFERQU\nxO7du6moqMDFxQVzc3NNh/rAJElCoVAQFRVFRkYGTZs2xcXFhaVLlxIUFIShoSH5+fkcOXKEJk2a\n4OrqqumQH5q6jfv37yc9PR0PDw8qKyvZt28fwcHBtG3blurqak6dOkVlZaXW9+u3Urft5MmTVFVV\nyRerv/zyCxERETg7O3P06FFSU1NxcnLS2XNobaGhofTr14+8vDyOHDkify6tra0f6PtFacdjsGvX\nLqZNmwaAoaEhFhYWGBsbM2/ePObNm8e//vUvVq5cqeEo70+hUBAWFsann35KXl4eAD4+PnTp0oU3\n33yTqVOnMnfuXLZs2fLQt0a0zaeffkpYWBiVlZW0atWKXr16kZ2dzZo1a/j222/Jzs6WNw/SNfPn\nz+fvv/8GwNzcnMzMTCIiIpg9ezYvvfQSly5dYuPGjRqOsu4SEhJQjw+oVCpatGjB0aNHuXDhAm+9\n9RZXr15FV8cPLl68yE8//URMTAwAvXr1Yv369QwcOJAVK1bQo0cPQkJCSE5O1nCk9bN+/Xo2b94M\nQIcOHTAwMKBNmzYsXryYzz77jFatWnH27FkNR1l3ubm5LFy4kLCwMABefPFFlEolbm5u/Prrr3z8\n8cckJibqXK2tQqEAbt6pPHHiBJcvX8bMzIyJEyfSokULpk+fzueff46zszNpaWkajrZuFAoFVVVV\n7Nmzh4MHD8p9hI+PD4MGDWLcuHG8/vrrtG/fnpycHJ0qBVQoFGRmZrJ06VKioqKorq6md+/e9O3b\nl8GDBzNp0iRmzZpFdna2Tte639pHVFZWkpSURFxcHEVFRbz11lukpKQwb968B/55IpF+xAoLCzl6\n9ChZWVmsXr0agB49evDaa6/RrFkzALp27UqXLl24ceOGJkO9J0mSKCsrY8eOHRQWFrJr1y4AmjRp\nwltvvSWPYHbq1AkPDw+ysrI0GW69nDt3jrNnz3LmzBm5HZMmTWLy5MmoVCocHR1p2rQpkZGRGo70\n4eXm5hIeHs6ePXsoKyvD3d2dvn378vLLL9O8eXM6duxI3759KSsr09la4sTERLZu3cqZM2fQ09Oj\nRYsWDBw4kHfffRcfHx8+/PBD9PX1depCSN0Z79u3j9jYWIKDg1GpVDz11FNMnjxZ/vwNHjyYjIwM\nnRrFrO3QoUNERESQk5NDYGAgAG+88QajRo0CwNramoqKCp2slVYfx8OHD3P+/HliY2OJj48H4PPP\nP2fkyJEAdOnShfz8fJ2cHHv48GESExMpLCyUJ9O/9NJLTJkyRU6+nJ2dKSoq0mSYD+3WhHjHjh0U\nFxdjaGjIpk2bAJg4cSIvvPACACYmJuTl5dGkSRP09HQnzVKpVGzbto3i4mKSkpI4f/48ANOnT2f4\n8OEAcknOtWvXNBZnfan7iNOnT2NkZETXrl3x9/endevWtGvXjunTp6NUKomLi3ugnydKOxrY5cuX\nOXbsGKamplhZWVFQUICxsTH/+c9/mD17NmPHjsXW1haFQsGBAwcoKSnhr7/+QqlUMmzYME2HX8Pl\ny5dZs2YNRkZGmJqaYmFhgSRJTJ48mY0bN9KmTRtcXFwwNjZm+/bthISEsHfvXkpLS3nppZfQ19fX\ndBMeSFRUFHl5eVhZWWFoaMilS5fo0aMHOTk5KBQKmjdvjoODA8XFxezduxcLCwv27NnDc889p/W3\nllUqFZcvX5YTq8DAQJycnDA1NeXcuXP06dOHli1bYmVlJZeyrF27Fh8fHzw9PTUc/YMpKyvDwMAA\nhUJBbm4uu3fvpn379mzYsIHXXnsNBwcHPD090dfXx8jIiNTUVBITE3nppZfkETRtdeHCBczMzDA2\nNqayspLg4GD69etHUVER5eXleHh40K5dO44fP467uzsxMTFcvHgRPz8/nUmmd+7cSWZmJiYmJlha\nWpKXl4enpyfdu3dn//79+Pn5YWdnx6lTp9i5cyfXrl0jMDCQ7t2707JlS02H/0DUFwSGhoYYGxuT\nkpJCr169KCkpoaysDE9PT5ydnQkJCSE0NJTCwkLOnz/PsGHDtL4WfOnSpcTExFBdXY2rqytKpZLB\ngwejp6dHRkYGjo6O2NnZceHCBT777DOuXLnC3r17eeWVV2jatKmmw7+v/Px8vv32W+Lj4ykrK6NF\nixaYmJjQtm1bfH19CQwMxNfXF3t7e7Zs2cJPP/1EaGgoaWlpjBgxQqvn0+Tn57N48WJKSkpQKpU4\nODigp6fHM888Q05ODsXFxbRq1QobGxvWr1/PunXrCA0NpaCggNGjR2NhYaHpJjyQe/UR48ePx8fH\nh6CgIGxsbGjbti25ublERUUxZsyYB8pjRCLdgA4dOsQnn3yCgYEB+/fvx8rKCl9fXywsLGjWrBmX\nLl0iODiYwYMHc+PGDcLCwti3bx9eXl7MmDFD0+HXEBISwmeffYaLiwuJiYmcPn2afv36YW1tjZub\nG5mZmZw9e5Z+/fqhUqkoKSnh3LlzNG/enM8//1zrk2hJkqisrGTx4sUEBARQWFjIwYMH6dq1K46O\njnTp0oWqqipOnz5Ns2bNcHBwIDk5mUOHDhEUFMQzzzzDgAEDNN2MewoICOCrr74iOjqaK1eu4Ovr\ni52dHa1bt8bb25t169bRrVs37O3tWbNmDZs2beLPP//E09OTMWPGYGRkpOkm3Nevv/7Ktm3bSEpK\nok2bNnLSMXHiRPbt20dRURFdunQhJyeHb775hsOHD7Nr1y569Oih1ROB8vLy+OSTTzh+/DgnT56k\nsrISHx8f2rZtS5s2bcjKyiIhIYH27dtjamrK6tWr2blzJ8HBwUybNk0nJlWWl5ezYMECzp49i4GB\nAX/88Qf9+/fHy8uLli1bYmhoSGxsLHl5efj6+mJgYEBaWhqRkZG899579OzZU9NNuK/8/Hxmz55N\nREQERUVFbN26lZEjR2Jvb0+XLl3Izs4mKSkJa2trnJycyM3N5fjx41y4cIF3330XLy8vTTfhjiRJ\noqSkhNmzZ1NeXo6vry9LliyhVatW+Pr64uTkhLm5OZGRkVRXV8uDLoaGhpSXl/Phhx/qxIX6tWvX\nWLhwIV5eXvj4+LBkyRLatm2Ll5cXzZo1w9jYmIyMDC5evEjPnj3x9vbGw8MDMzMzPvnkE61OohMT\nE5k9ezZeXl4YGRmxaNEiXn75ZZycnGjatCmlpaVcvHgRU1NT3N3dcXJyorKyEhsbG7744gudSaLv\n1Ufs37+fgoICunbtiru7O2fOnGHHjh3s2LGDbt260aNHjwf7JZLQYH799Vfp3LlzkiRJ0o4dO6Qf\nfvhBOnHihPz169evS35+ftL58+fl5yoqKh57nPdSVlYmSZIkHTx4UFq9erUkSZJ0+fJl6YsvvpBW\nrFghv66kpESaPHmytH//fvm56urqxxprfV2/fl364IMPpKtXr0qSJEnff/+99NFHH9V4zYIFC6TV\nq1dLhYWFkiTdfrxUKtXjCfYhFRUVSTNnzpRycnKk1NRUaebMmdLff/8tH19JkqTff/9d+uSTTyRJ\nkiSlUimVlJRIaWlp8te1tW1qBw8elD766CMpNzdX+vrrr6UlS5ZICQkJ8tcvXLggDRgwQLp+/bok\nSZKUl5cnHTt2TMrPz9dUyA9s+/bt0tdffy1JkiSdPn1aGjt2rJSZmSl/PSoqSlq8eLG0detWSZJu\nHqtr165pJNaHVV5eLkmSJOXn50uvv/66/Px3330n/f777/LxqaiokI4fPy5NnTpVSk1Nve3nqFQq\nrX2PVlVVSZIkSRcvXpSmTp0qP//yyy9LGzZskB9fuXJF+uWXX6TVq1fL5yH130eStLONly9fliRJ\nkiorK6WZM2dK6enpkiRJ0tatW6UxY8bUeG1AQIA0f/58KSws7LHHWR+JiYmSJEnS1atXpVGjRsnn\n/dWrV0vff/+93GalUimdP39eevvtt6XQ0FCNxfswcnNzJUmSpPj4+Br93fTp06Vvv/1WflxRUSEt\nX75cWrJkSY1zjy552D6ivLxcOnv2rFRQUPBQv0eMSNdDbGwsP/zwA0VFRbi7u3PkyBGys7Pp06cP\nDg4O5OXlkZqaSvv27TEwMMDY2JirV68SHh7OwIEDAbRm5DYmJoZvv/2WmJgYHB0dSUxMJDMzk/79\n+2NqaoqTkxNbt26lb9++mJubY2hoSFlZGQkJCfTs2RM9PT2dqAXbt28fe/fuxdDQkNLSUlJSUvDx\n8cHKyoo+ffqwZMkSvL295VuOZmZm7Nu3j44dO8olOQqFAqVSiZ6enlaVBuTn5xMUFISdnR3GxsYs\nXryYCRMm4OTkhEqlIi4uDgsLC7ltLVq0YOXKlbRs2RJ3d3cMDQ2xtrZGpVIhSZJWHs+kpCSUSiXm\n5ub4+/vTtm1bevfuTbNmzcjMzCQ5OZmuXbuiUChwcHAgOjqaAwcOMGLECMzNzWnevLnWljxs27aN\nixcv4uzsTGlpKbGxsfTv358WLVoQFxdHQkICvXv3BsDW1pbs7Gzi4+Np3769XP6h7VavXs3KlSup\nrq7Gzc2N2NhYeWUDV1dXDhw4gIeHB87Ozujr62NmZkZ2drZ8J0xNGz9/an/99Rd79+7Fzs6O69ev\nU1hYiIuLC7a2trRu3ZqFCxcybtw49PT0MDU1pbi4mMTERNq0aYO1tTUGBjdXpdW2Nl6/fp2FCxfi\n7+9PYWEh1dXVFBUVYWlpiZubG+3bt+eff/6hurqa9u3bA2Bvb09ycjI+Pj5aX6ICNyfzfv/99+zd\nu5eUlBSaNGmCvr4+GRkZ+Pj40LJlS/bv34+LiwvNmjVDoVBgZmaGqakprVq1euBVHjQhOjqa77//\nniNHjgBQUlJCSUkJtra22Nvb061bN7777juGDBmCtbW1nJsUFxfj6+uLqampJsN/YHXpIw4ePMgz\nzzyDgYEBTZs2feil/UQiXUcBAQEsW7aMESNGkJOTw6ZNm5gxYwYrVqxg4MCB2Nvbc/XqVWJjY+nV\nqxeGhoYoFAp69eolJ9HaIjw8nCVLljBu3DgUCgUrVqzgP//5D4sXL8bPzw8bGxvMzMxISkqSy1QA\n2rdvT9++fbUy4apNXcZx+vRpPD09WbduHYMGDeLYsWPY2trSvHlz9PX1USgUhIaG4ufnB4CLiwud\nO3eW26zu1LStzX/99RfLli2jrKyMXbt24ezsjKOjI5GRkXTv3h1nZ2dCQ0OxtramVatWSJKEubk5\nXbp0ua3EQX2xoE1KS0v5+eefWbVqFQkJCcTFxfHMM8/w22+/MXbsWJo0aUJJSQmpqak0b94cKysr\nAPr27YuRkZFWL0GVm5vLW2+9RVlZGTdu3CA6OhpDQ0MkScLIyAhXV1c8PT1ZtGgRQ4cOxcLCAn19\nfRwcHOjbty82NjaabsID+fTTTyktLWXUqFFERUWRnJxM69atSUhIwMfHBxcXFyIiIrh48SJPPfUU\ngPwerb1xlbZ9/uDmut7Tp09HkiScnZ05deqUXBrn6OiIk5MT7u7uREREkJWVRdeuXYGbF7Rdu3a9\nbfKkNrVRvQ60g4MDb731Frt27aJFixYUFhZSUFCAq6srlpaWNG3alB07dsiTJs3NzenevbtOJNEA\nixYtom/fvrzzzjukpKSQm5uLi4sLly5dkssbsrOzOX78OE8//TQAxsbG8kWQtiosLOSHH35gzJgx\ndO7cmcDAQDp16kRUVBRmZmY4Ojpia2tLYWEhiYmJcklD06ZN6dSpk04k0fXpIwwNDevVR2jPJ1VH\nqGfuqovtX3jhBXkCoYODAz179uSnn34Cbq7GkZOTA/zfSVHSopUQ1LFcvnwZJycnBgwYwPjx4zEy\nMsLc3JznnnuOX3/9lbKyMiwsLMjLy5MTSl1z/fp1zp07x7Jly3j99ddxcXEhMzOTsWPHsnv3bnkp\nJltbW7l2T32snZ2dteq43UlcXByzZs1i7ty5PPXUUyQnJ9OlSxcSEhKIjY3FwsICV1dXeRa9OlFW\n12Bqe/tOnjxJTk4O//zzD1999RXHjh3DwcGB1q1b88cffwA3V4yJi4urMaJnYWHBiBEjNBn6fUVE\nRNCzZ08WLFjA2LFjuXHjBr1790ZPT48LFy5QWFiIs7MzPXv2JDMzU/4+R0dHuTPQdjk5OVy/fp05\nc+bQt29fDAwMaNmypXwR5+/vD9w8Z9rY2NRYIUF9UaHt79Hk5GSKioqYNWsWb775Jvn5+Xh4eNCx\nY0fCwsLkFQA6d+5cY7MV9ci7Ni+TVllZydGjRxk1ahTu7u64uLiQkpLCq6++Sk5ODkePHgVuHmf1\naJ+2XYzfT1paGjk5OTz//PPY2tqSlpaGra0tvXr1wsbGhuXLlwM3/xadOnXS+vfjrdLT08nMzMTP\nz4/evXtz5coVzM3NGTp0KFFRUZw6dQq4OW9BfYGnazTZR4hE+iGpE2JHR0f5NmtISAhVVVUYGBgw\nbdo0YmJi+Pnnn5k0aRJt27atcctVG04u6hPArcnUu+++C9wsV7G2tsbY2JipU6dibm7Ojz/+yLhx\n47C0tMTGxkanTiBqNjY2vPjii1y9ehW4uTyRnp4effv2xcPDg02bNrFgwQJWrlwpJye3jghpw3G7\nG/WdAvWt75MnT2Jra0vHjh3p0KED8+bNIzo6mpMnT+Lt7X3H46fN7QPIyMhg8ODBwM1Owc7ODjs7\nO9544w02bdpEfHw8cXFx6OvrU1FRAWhP2dTdqLeC1tfXlzc2sLCwICoqChsbG/r160d+fj4LFy5k\nyZIlxMfH68wqFbW5uLgwdOhQuc2FhYUYGBjg4eHByJEj2b9/P5999hk//vijfBFxK11IzDp06MBz\nzz1HdXU1FRUVGBkZoVAoGDp0KLa2tqxZs4avvvqKbdu23XG1Cm0agS4vL5fPE+rNKZYsWYKDgwNw\nM5ls2bIl9vb2PPvss2RnZ/PGG28QEBBAt27dNBn6A6t9cda8eXNmz54tH4eqqiq8vLxwdHRkwoQJ\nALz//vuEh4czbNgwrX4/1j7Hd+rUiUWLFgE3B5XMzMxwd3fnqaeeokePHpw4cYJJkyaRl5dH27Zt\nNRFyvWm0j6hHHfcT49ZJdEqlssbXVCqVNG3aNOnIkSPyc9evX5dOnjwpBQcHP7YYH9StbbnT5MAf\nfvhB+v333yVJutmOGzduSImJiVJ4ePhji7G+lErlbcfpVunp6dLEiROl4uJiSZJuTp5JSkqSfv/9\ndykjI+NxhVln6slHt05CUk+GqaiokCZPniy3TZIkafPmzdJXX30lrV+//vEG2gDUbczLy5OP6YkT\nJ6T58+fLr9m6das0f/58aezYsdLp06c1EueDioiIqDHBszZ/f39p5syZ8uNr165JW7Zskf744w/p\nxo0bjy3O+rjfpOP09HTp2WeflR9fvXpVunr1qnTmzBmpsrLyUYfXIGq3sfaxPHnypDRx4kT58ZUr\nV6SLFy9K/v7+Wt/GiooKKSgoqMak+FslJSVJkyZNksrKyqSysjJ58lZUVNTjDLPBlJSUSJJU83ya\nmJgoH7/ExET5b6HtE5VVKtVt783aj3fv3i1PMszOzpZyc3Ol69evS5cuXXpscTYkbegjRI30XVRW\nVnLx4kUcHR3R09OjqqpKrqG9VUVFBSEhIYwZM4bly5ezYcMGnnnmGTw8PHB3d9dQ9Henp6dHeXk5\nq1atwtDQEGdnZ+DmqIOenh5Hjx5l8ODBBAQEsHz5cvz8/ORbebpCPXqVmppKeHg4bm5uNa48IyIi\n5Frh2bNnY2ZmRrdu3ejWrRtWVlbyLVZtHXFQx5WYmIidnR1KpRJDQ0Pg5o5N2dnZDB06lHXr1pGR\nkcHo0aMZOHCgvG27SqXS2rapJ1ipSf/bstbc3FyO+ffff+fZZ5+lSZMm/P3334wdO5b+/fszZsyY\nGhPStIm6HQ4ODnz33Xd4eXnh7u5+W3sPHjzICy+8wOXLl1mxYgVt2rShb9++dOnSReuXI5T+N8Kn\n/qzFx8dTUlJyW+1odHQ0BgYG2NraMmvWLFQqFV27dpU/p+pzkTZST8RVt7G8vFxenxZqbrHs6+uL\nUqlk3rx5uLu707FjR9q1a4e+vv5tx10bqGNSKpVERESwdu1aqqur8fT0lNunUCiIjo6mrKyMqqoq\n5syZI9fwOzk5abgF96duo/o4nT9/nk2bNsl3QdTPh4SEkJubS25uLn/99Rfe3t60aNFCaycqqykU\nCvT09CgrK+PIkSN4eHjI71V1248dO4arqysRERGsXLmSzp074+bmhp2dnYajfzDa2EcYNPhPbCSC\ng4P5448/+O9//0tQUBABAQE8/fTT+Pr60qFDB5RKJfr6+mRnZ+Pv709iYiK9e/fmhx9+0KrZ87Vn\nfqekpLB48WKMjY15++235dcZGBhQXl7O+vXrCQsLY+jQofz+++8PPXtVU9THA25+sLZv387y5cuZ\nN2+enGSq/fPPP8TFxRESEkL//v3lSSNws6PUtg4O/u9koRYaGsqmTZtYtGhRjYuEU6dOER4ezrRp\n07CxsWHq1Kny19QJtLa2D/7vVtuBAwfw8fHB1dVV/rpCoaC4uJhLly4RHR3NsmXLaNu2LdXV1Xe8\nyNUm6tj09fWZNWsWixYtwt/fv8axy8/P59SpU0RHR6NSqeRtlXWF+gI2KSmJtWvXcurUKV588UXe\nfPNNjI2N5WMYHBzM33//TXp6OhMnTpRL5NTU9YvaSP3ZSU1N5aeffsLGxoZnnnlGboN6++idO3dS\nWlpKixYtePXVV2usR3trIq4tbj1/GhkZUVhYSHx8PH5+frcdj8DAQLZv345KpeKbb77RifWg1ed1\ndRurqqrkzZnMzc3lCwj11w8ePMjp06dp3bq11veDtfusgIAANmzYgJOTE9XV1QwcOBAzMzP09fWR\nJInNmzejr6/P6NGjtb5tt9LmPkJ7z1gacOtow8CBAzl06JC8KcmUKVO4dOkSy5cvZ8mSJfLoUHx8\nPCNHjmTatGla1+ndemKIjIzEzMwMCwsLnJyc7riYenZ2NpMnT+all16qMRlGm9U+QaampuLq6sqN\nGzcwNzeXOzBJklCpVOjr69O0aVPs7e35+OOP5dnI6g+hNiWZt8asUCjIzs6Wd5pSqVS0bdtWHt1S\nnyTVK3NMnDhRrlXUxrbd6taOIC4ujs2bNxMTE0OzZs0YNWoU/fv3R6FQIEkSubm58mYkX3zxhc68\nT+Hme3PWrFmsXr2azZs3s379esaPH091dTUGBgZIkkRycjIzZ85k7Nixmg63TtLS0pgzZw6TJ0+m\nV69ebN++nUuXLtGhQwe5EzMyMuL9999n0qRJ8vdp6wUs3H6RvmfPHrZs2cLEiRMpLy9n2bJlNGnS\nBC8vL1QqFYaGhvJqB6+//rr8c9SfQ2284NPX1yczM5Nff/0VCwsLhg4dyuzZs4mJiSEzMxM3Nzf5\n7zBo0CD69+8vbxmtzW49h6qtXLmShIQEXn/9dXr16sW0adN4++23MTQ0lNs4cuRI3n77ba3dEAfu\n3DZJkoiIiGDevHny+/Hq1avo6+vLA3wTJ06kR48eWt22W9X+3GhjHyFKO26hTjauXLmCmZkZnp6e\n7Nixg1deeYW+ffvSvHlzIiMjsba2lq+CWrVqxbBhw7RmCar8/Hw2btyIm5sblpaW5OfnM2fOHPbt\n28eZM2do06YNTk5OZGZmYmFhgbOzszxq3aRJE/r27asTSxVVVFTUuKUaHx/PZ599xsGDB8nKysLb\n2xuVSkVOTg4+Pj41RoG6dOnCkCFD5BOnNnZu6itoPT09KioqUKlUBAYGcvDgQVJTU/Hz8+Onn37i\npZdewsDAQH69t7c3kydPliczaXOCoqZQKCgrKyMzM5OJEyfy2muv8cUXX5CSkkJBQQEuLi5YWVnJ\nx6hHjx5MmjRJa9+naWlp/Pjjj3Tt2hUTExOSkpIwMjLC0dGR8+fPk5GRwYQJE1iwYAGjR4/G2NiY\n6upqrKysGD9+PJ07d9Z0E+6rdnlQeHg4qampWFhYEBQUxIwZM2jTpg3nz58nNjaWzp07Y2JiAkDv\n3r3l1Tq0ba3k2qRb1lPPysrCwsKCkJAQzp07x6xZs/D09CQ0NJSioiK6d+8O3Hw/DxkyRD6O2tZG\npVLJli1bKCoqori4GCcnJwoLC5k+fbq8PGvr1q0xMzMjIyODxMRELC0tsbe3R6FQ0LL0NvZ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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "poa_sky_diffuse = pvlib.irradiance.haydavies(surface_tilt, surface_azimuth,\n", - " tmy_data['DHI'], tmy_data['DNI'], dni_extra,\n", - " solpos['apparent_zenith'], solpos['azimuth'])\n", - "\n", - "poa_sky_diffuse.plot()\n", - "plt.ylabel('Irradiance (W/m**2)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### POA ground diffuse\n", - "\n", - "Calculate ground diffuse. We specified the albedo above. You could have also provided a string to the ``surface_type`` keyword argument." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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DrBhvO+5uSC8MBJEdkJgmCJM5dKwHAFDX3Jv55EGhYuaYzOPKeHafkqek/Yyqdy1ietzI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m3btsXLy4tdu3ZRXFzMiy++SJ8+feRyHG2np6fHmTNnuHnzJn369KGoqIh27dpx7tw58vLyiIqK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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "poa_ground_diffuse = pvlib.irradiance.grounddiffuse(surface_tilt, tmy_data['GHI'], albedo=albedo)\n", - "\n", - "poa_ground_diffuse.plot()\n", - "plt.ylabel('Irradiance (W/m**2)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### AOI\n", - "\n", - "Calculate AOI" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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hkcomIiIiIhLVwpqZfvDBB8nNzaVPnz68+uqrjB07lpkzZ0Yqm4iIiIhIVGvW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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth, solpos['apparent_zenith'], solpos['azimuth'])\n", - "\n", - "aoi.plot()\n", - "plt.ylabel('Angle of incidence (deg)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that AOI has values greater than 90 deg. This is ok." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### POA total\n", - "\n", - "Calculate POA irradiance" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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CaUixJggt4aFQuE2tKF/0sqZmDLEDKQtA26o0t3cZ9j5pLT4M8949ygklQBZe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BizeNse9LO3+n3nuGCST6RipeKGlgcHAoFAIBC0CE3T8Hg82PX0S2qLEoxGV9Otrl6PcFUNPL28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\nXr3Yt28fAJ6enqhUKvn9UDFO6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VdXVwBSUlI4ceKEvIGSIAiC8PyJqiCCIAh1UGZmJqNG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\nRK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "poa_irrad = pvlib.irradiance.globalinplane(aoi, tmy_data['DNI'], poa_sky_diffuse, poa_ground_diffuse)\n", - "\n", - "poa_irrad.plot()\n", - "plt.ylabel('Irradiance (W/m**2)')\n", - "plt.title('POA Irradiance')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Cell and module temperature\n", - "\n", - "Calculate pv cell and module temperature" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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DfZHCu9zoaZVtHCKY+1C1uo7EKVoht2/lPp74+14cqWnDJ9us94cPycIMWeT9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WoXJuzBvJFjcVnV1VhRdBFumXsZaJrGtbVfxUjGRLT1JFKelw+GSs7GiwACgdJfcBEIA2oPb4XR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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pvtemps = pvlib.pvsystem.sapm_celltemp(poa_irrad['poa_global'], tmy_data['Wspd'], tmy_data['DryBulb'])\n", - "\n", - "pvtemps.plot()\n", - "plt.ylabel('Temperature (C)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## DC power using SAPM" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Get module data from the web." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "sandia_modules = pvlib.pvsystem.retrieve_sam(name='SandiaMod')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Choose a particular module" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Vintage 2009\n", - "Area 1.701\n", - "Material c-Si\n", - "Cells_in_Series 96\n", - "Parallel_Strings 1\n", - "Isco 5.09115\n", - "Voco 59.2608\n", - "Impo 4.54629\n", - "Vmpo 48.3156\n", - "Aisc 0.000397\n", - "Aimp 0.000181\n", - "C0 1.01284\n", - "C1 -0.0128398\n", - "Bvoco -0.21696\n", - "Mbvoc 0\n", - "Bvmpo -0.235488\n", - "Mbvmp 0\n", - "N 1.4032\n", - "C2 0.279317\n", - "C3 -7.24463\n", - "A0 0.928385\n", - "A1 0.068093\n", - "A2 -0.0157738\n", - "A3 0.0016606\n", - "A4 -6.93e-05\n", - "B0 1\n", - "B1 -0.002438\n", - "B2 0.0003103\n", - "B3 -1.246e-05\n", - "B4 2.11e-07\n", - "B5 -1.36e-09\n", - "DTC 3\n", - "FD 1\n", - "A -3.40641\n", - "B -0.0842075\n", - "C4 0.996446\n", - "C5 0.003554\n", - "IXO 4.97599\n", - "IXXO 3.18803\n", - "C6 1.15535\n", - "C7 -0.155353\n", - "Notes Source: Sandia National Laboratories Updated 9...\n", - "Name: Canadian_Solar_CS5P_220M___2009_, dtype: object" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_\n", - "sandia_module" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Run the SAPM using the parameters we calculated above." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " i_sc i_mp v_oc v_mp p_mp i_x i_xx \\\n", - "Time \n", - "2015-01-01 09:30:00+00:00 0 0 0 0 0 0 0 \n", - "2015-01-01 10:30:00+00:00 0 0 0 0 0 0 0 \n", - "2015-01-01 11:30:00+00:00 0 0 0 0 0 0 0 \n", - "2015-01-01 12:30:00+00:00 0 0 0 0 0 0 0 \n", - "2015-01-01 13:30:00+00:00 0 0 0 0 0 0 0 \n", - "\n", - " effective_irradiance \n", - "Time \n", - "2015-01-01 09:30:00+00:00 0 \n", - "2015-01-01 10:30:00+00:00 0 \n", - "2015-01-01 11:30:00+00:00 0 \n", - "2015-01-01 12:30:00+00:00 0 \n", - "2015-01-01 13:30:00+00:00 0 \n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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9ZaGzcpjFxXUUOhRI8MTfR6oJLnSGIohG4xh71HC3RXEVJzpfzRhYorYopqj0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\n1tbWmoU45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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sapm_out = pvlib.pvsystem.sapm(sandia_module, poa_irrad.poa_direct, poa_irrad.poa_diffuse,\n", - " pvtemps['temp_cell'], airmass, aoi)\n", - "print(sapm_out.head())\n", - "\n", - "sapm_out[['p_mp']].plot()\n", - "plt.ylabel('DC Power (W)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## DC power using single diode" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "cec_modules = pvlib.pvsystem.retrieve_sam(name='CECMod')\n", - "cec_module = cec_modules.Canadian_Solar_CS5P_220M" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = (\n", - " pvlib.pvsystem.calcparams_desoto(poa_irrad.poa_global,\n", - " temp_cell=pvtemps['temp_cell'],\n", - " alpha_isc=cec_module['alpha_sc'],\n", - " module_parameters=cec_module,\n", - " EgRef=1.121,\n", - " dEgdT=-0.0002677) )" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "single_diode_out = pvlib.pvsystem.singlediode(cec_module, photocurrent, saturation_current,\n", - " resistance_series, resistance_shunt, nNsVth)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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vtXT0IS83gL5wLPNHtYGYqUW7RjRG443gBynRBMEBrcXK0bXCoczUwmnpPRgZ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\nqbBu3TrU1NQgMTERK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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "single_diode_out[['p_mp']].plot()\n", - "plt.ylabel('DC Power (W)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## AC power using SAPM" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Get the inverter database from the web" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "sapm_inverters = pvlib.pvsystem.retrieve_sam('sandiainverter')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Choose a particular inverter" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Vac 208.000000\n", - "Paco 250.000000\n", - "Pdco 259.522050\n", - "Vdco 40.242603\n", - "Pso 1.771614\n", - "C0 -0.000025\n", - "C1 -0.000090\n", - "C2 0.000669\n", - "C3 -0.018900\n", - "Pnt 0.020000\n", - "Vdcmax 65.000000\n", - "Idcmax 10.000000\n", - "Mppt_low 20.000000\n", - "Mppt_high 50.000000\n", - "Name: ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_, dtype: float64" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sapm_inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_']\n", - "sapm_inverter" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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9XHbboopwDlKiCQfIVbVBXQNS16H56vrVoSUq+bhz0OaPWaBopxIhCsIK/tnB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\nQRAEQRAEQWgjEUQLgiAIgiAIQhv9DwAkmPZ3w+/hAAAAAElFTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "p_acs = pd.DataFrame()\n", - "p_acs['sapm'] = pvlib.pvsystem.snlinverter(sapm_inverter, sapm_out.v_mp, sapm_out.p_mp)\n", - "p_acs['sd'] = pvlib.pvsystem.snlinverter(sapm_inverter, single_diode_out.v_mp, single_diode_out.p_mp)\n", - "\n", - "p_acs.plot()\n", - "plt.ylabel('AC Power (W)')" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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r6egzJORzLLz0j526+HMfrBRkuwCAE30RABbPHIaF08vCnxvqC/Hg1RNx55Jx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oQJEyYIxcXFQnFxsXrw1oULF7QZZr0oLCwUBKHqsTQxMVH92SUmJqrfh8YwSFmpVD7y3Xz49p9/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\ntBBCCCGEEJ0ggbQQQgghhBCd8B+CLCEn8QA4lAAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "diff = p_acs['sapm'] - p_acs['sd']\n", - "diff.plot()\n", - "plt.ylabel('SAPM - SD Power (W)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Plot just a few days." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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8qhInajhzo6zP9VDO7hVlgPaGIlLTxQQToRUZ8y2EyH7nho1k556MC1nzibLZ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\nNVBfnkLwrDpeOfQ6edHZ+uhbTprX66Wq+yBb6rexr30/Xry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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "p_acs['2015-07-05':'2015-07-06'].plot()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Some statistics on the AC power" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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    sapmsd
    count8760.0000004620.000000
    mean23.09207245.975969
    std42.33881350.010571
    min-0.020000-0.020000
    25%-0.0200008.625879
    50%-0.02000028.616357
    75%27.94616263.817331
    max211.292680213.052674
    \n", - "
    " - ], - "text/plain": [ - " sapm sd\n", - "count 8760.000000 4620.000000\n", - "mean 23.092072 45.975969\n", - "std 42.338813 50.010571\n", - "min -0.020000 -0.020000\n", - "25% -0.020000 8.625879\n", - "50% -0.020000 28.616357\n", - "75% 27.946162 63.817331\n", - "max 211.292680 213.052674" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "p_acs.describe()" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "sapm 202286.553521\n", - "sd 212408.976960\n", - "dtype: float64" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "p_acs.sum()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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RCxcuxGq18thjjzFx4sTuWpaIiEi3a2tzsL90J5WVJ3nthU3kl9aDsyPQmqLsHBs2iKJJ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AVwIpVMHdlMXTpAx8cTtK/EGTEPsBRnVnHuu5YwuXEHT7/6G9r8sVhrOKmqmwc+/yk8zytQtUII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\nHdp0Y20SjIOylkRR0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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# create data for a y=x line\n", - "p_ac_max = p_acs.max().max()\n", - "yxline = np.arange(0, p_ac_max)\n", - "\n", - "fig = plt.figure(figsize=(12,12))\n", - "ax = fig.add_subplot(111, aspect='equal')\n", - "sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=poa_irrad.poa_global, alpha=1, cmap=mpl.cm.YlGnBu_r) \n", - "ax.plot(yxline, yxline, 'r', linewidth=3)\n", - "ax.set_xlim(0, None)\n", - "ax.set_ylim(0, None)\n", - "ax.set_xlabel('Single Diode model')\n", - "ax.set_ylabel('Sandia model')\n", - "fig.colorbar(sc, label='POA Global (W/m**2)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can change the value of color value ``c`` to see the sensitivity of model accuracy to measured meterological conditions. It can be useful to define a simple plotting function for this kind of exploratory analysis." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def sapm_sd_scatter(c_data, label=None, **kwargs):\n", - " \"\"\"Display a scatter plot of SAPM p_ac vs. single diode p_ac.\n", - " \n", - " You need to re-execute this cell if you re-run the p_ac calculation.\n", - " \n", - " Parameters\n", - " ----------\n", - " c_data : array-like\n", - " Determines the color of each point on the scatter plot.\n", - " Must be same length as p_acs.\n", - " \n", - " kwargs passed to ``scatter``.\n", - " \n", - " Returns\n", - " -------\n", - " tuple of fig, ax objects\n", - " \"\"\"\n", - " \n", - " fig = plt.figure(figsize=(12,12))\n", - " ax = fig.add_subplot(111, aspect='equal')\n", - " sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=c_data, alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) \n", - " ax.plot(yxline, yxline, 'r', linewidth=3)\n", - " ax.set_xlim(0, None)\n", - " ax.set_ylim(0, None)\n", - " ax.set_xlabel('Single diode model power (W)')\n", - " ax.set_ylabel('Sandia model power (W)')\n", - " fig.colorbar(sc, label='{}'.format(label), shrink=0.75)\n", - " \n", - " return fig, ax" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(,\n", - " )" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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GjuNE32jqW+wU5xdhtpjJvGY88Y1HaXE4PFW6dBKGYerwh7fTZwsiIiLn4P2Vy1ltOKmr\nqeG9RYuY3rMnM+rrzwimYVkT2BDp4LbrJmGxmKmubGD7pn0MHJtBQGszVwwb5sERSGfQKe+1vMDU\nORURETkHmyrLqThWRFNoD1zDJxOwZ///CaZRt91JYISBxXLyz2tUdCgWw8mG5buYOXoyCd3jPFW+\nSKehzqmIiMg3OHg4l/0F+TRUVdLqE4ZfcBg3b1jB8NLj7mPqUmJZZZTTfcM8SkvK6HWiG3E9ojAM\ng/riNmZMupO47vEeHIV0Fi61ThVORUREvs7KzRv5qLYSU2JPzK52nLsPcXP2CoYX5LiP8c1K5Ui0\nD1OmjMRitTCEVD5770v690ugpqyd79/1BE6njwdHIdK5KJyKiIh8jfVFhZj6p+FqbyesMo+fO8ro\nfrzGvb8kLoidbXWENIWyd8tBho47ubB+bFx3RqbNJOiyYCIjteyXnDs1TnXPqYiIyNcyAW3V1diz\nVzC7teWMYFoUFYr/Tel87+ohhAVaiE+IIHf3EQDaW8wEBQV7qGqRzk2dUxERkX9jt9t5+e332bJ3\nO7Z+Q3nsRDXWqlPBtDEjEXt6MFPGpwOQ3Ls7y77Yz4EDxTSXmZk4wrsXORfvpc6pwqmIiMj/8d9v\nvs+mkiLo3ZfZtaUMPC2Yusb34zPs3DU4yb3Nx8eCrdVGfaMfN067xwMVi3QdCqciIiL/Jq+qhV6p\nYYzZd5RRNRXu7YdiQtkWFESdNY4t64tJ6hWN2Wxm/bqDrNtQyM8e+X8erFq6gs75pfIXlsKpiIjI\nv4n2NzHuwBEG1VS7t2XHJrL5sjSi+/YicU8uV864j5WfrKDdacNqSeGlp+/Hz8/Pg1WLdA0KpyIi\nIqcxXC4e82uhvepUMN0a4E9Dz1gu9w8iuKKZ6bfOwmq1csXlt3iwUumK1DhVOBUREQGgqamJutoa\nzMs/p333Tvf2yh4x9Jk5AN/CMoqPbeOaKfdgterPp0hH0U+XiIhc8v73ww95/+ARZtVXMbqu0r3d\netlwzBODyTtczNipIxgX4Ev258vw9b2Wnj16eaxe6br0DVFa51RERC5xNpuN9/flck9tyRnBNGR8\nJodSe9Pc0kpKehL+Ab4AjJ82hIOHd3iqXJEuT51TERG5ZP1t4V8ps1fzlK2E3g1N7u0F8WHsqtvP\nocoiogOdzJgU6N5nGAYul8sT5colQI1TdU5FROQS9epbr+GTHsXURge9K08F0/q+UUz93bX89Jlr\n+F6GH43+4Sz9Ipey4irsNgfv/30to4Ze7sHKRbo2dU5FROSS0NrawofL3ye3spTyBhchPs2MXV9P\n6I7D7mPKe0dhntobk9kEwMSJ6eS+u50D427hV0uyoSmHfpZQoiK7eWoY0sVpnVOFUxERuUQs+Pw9\n+k7pS6qlN+UnquCNzwmtL3bvP54cQ9WYBDIig93bSkvrMDDRdGAvLZU1BLUbzHnqPk+UL3LJUDgV\nEZEuz263Y44wYbaYweUi5csD+NW3ufcfiQtjW1g7w1x2lny4idYWG62tdo7kVxDhdHFrVCjmy0Yw\nIyuT4ODgb7iSyPlR41ThVERELgE+Pj7YmxzgchH07nr8tp76KL82NYrUO4YwrW8cFeX1bNlXRlFp\nI1HBVrrHhhObOoKhQ8Z7sHqRS4vCqYiIdHkmk4k4a3faXlpE5Ik69/aKlChOpIcxoEckleX1zP9H\nNhVt0czbaSXKVsWNYzIVTOWiMgyTp0vwOIVTERHp8gyXi4xjJbSeFkzbRqZQ3j+SUWPSeHveKrYf\nqSd1SBr3DhvOsMHD8fHxwWRSUBC52BRORUSkSzNcLsrf/Cut27e6t53oEcoOUzM9WgLJ23+Miqom\nDocMIqCohtSsPvj6+nqwYrmUaQVdhVMREenCHHY7xXP/F/uuU9/odDTCj/RnrmGgvy9Op4u5v1vE\nRkdvzBGxjI2NpVu3aA9WLCIKpyIi0iX9ccF8AjduYWxzrXtbQXQQRYO6MdT/ZGfUYjHTMzmOgXVx\nTO4dw9VZur9UPEvrnCqciohIF+J0Ojl46CCG00nYui8ZYbO59zWPTsPv5vGU/GMZhmG47ydtamzh\n5dm3eqpkEfk3CqciItIltLQ08+M//IaUKSMYvHLLGcG0OCkSbh4PZhOhMZGs/HgLQcEBtLbaMBsB\nHqxa5Eze0Djds2cPv/3tb5k3bx45OTn813/9F2azGV9fX37zm98QFRXVodc3d+jZRURELpKnX36F\nATdPYsSmvSQdKXJv953Ql/JxSfDPryStL6smdUAvhk/IwCcsnPJWP0+VLOJ15s6dyzPPPIPD4QDg\nV7/6Fc8++yzz5s1j6tSpzJ07t8NrUOdUREQ6JafTyfwvPqPcZqO9qoLi6mKu/2wDcXvy3MfU9I0m\n+e6xVM5bTfn63djabBTX21m4z4F52yGsCT0xR2tmvngPT99zmpSUxGuvvcZPfvITAF5++WWio09O\nEmxvb8fPr+PfzKlzKiIindLcpYvYEBXJvtYGGlNjucvsOiOYHuoWjOnGIWzP3kerrZ2eQ/pjOF34\n+lkJ6dOX4CHD8Y+OIbTdg4MQ8TJTp07FYrG4//2vYLpz507effdd7rnnng6vQZ1TERHplI47HFgC\nAghwtpK1vYik+lP3mFanRtGWHk6Qnwm/+DAKC0po2rGZphMVDO+XwrH1mzBFRhLoNJg1aZoHRyFy\nJm9c53TZsmW88cYb/PnPfyYiIqLDr6dwKiIincq67VvYVXKciuJCLNFRTM8pIKmsyr0/YnI/0h8Y\nz5//vJxjx6ow+1gJj4rgimlDcH66i/jAfsy+/0oPjkCk81iyZAkLFy5k3rx5hIWFXZRrKpyKiEin\nsW3fbpbWleHTL4WYPr0Y9rd3SK+td++vy+jJh411DFq8mfRRA0hMjQcgb/8x6mubCA4JoNnR7Kny\nRc7K5Q3T9QGTyYTL5eJXv/oV8fHxPPbYYwCMHDmSH/zgBx16bYVTERHpNPYVHcOndyIml4vxn68i\n9bRgahvbD2aOJyp7N5v3H+XGgb3d+/bvyCPlhjFU1LbROyLQE6WLdBo9evRg/vz5AGzZsuWiX1/h\nVEREOoW2tjZyDu3BHN+NCV9mk3rgkHufbWw/WmeeXMfU2e6ie6848g6XkZtzAoe9narqZub/YzuJ\nMX2YkjnVg6MQ+Wbe0jn1JIVTERHpFD5e8wnjbsvE8j8fkFpR595e1i+Ogt6RJLe2UZhzjIiYCA5v\nP8iEaSOwWC1UllTTM3QwE8ZM9mD1InKuFE5FRMQrGYZBfX0dgYFB+Pr64sRJ8kebCD0tmNYNS8F5\nxyQqlmdzaONigsLCSEiK4rqbx7Hp0w1YnCGk9cpg3JiJnhuIyLfgMkyeLsHjFE5FRMTrlJaV8t8L\n/kpwn0SMxhYmJ6bTd+chgguOuo/JjQqgODkcY8MOMjJ6cbChhiH9kmhpjaR4XytDkicwcth4D45C\nRL4LhVMREfEqDoeDp1//b6Iz+uIbHEDkgL60/eVDgktPLRdVGBtE2+gY/J2t+AcFUHW0iO/dNIbN\nX+zjxhmzCAjQpCfpnJy651ThVEREvMubH77DZbdMITQ6ioojx+n99yX0Pi2YFnQLxDp1AC2lxVw3\nKwuT6eTHoIZhkJdfib9/gKdKF5ELQF9fKiIiXqXGx05odBS4XIzZfYTex8vc+8Im92Haqzfy6Z5y\nahqcfPrhRve+Je9vZG/vyazevMkTZYtcEC6j4x/eTp1TERHxuJaWZvLyDxMfG0drqw1cLnovWkP0\n7jz3MWGT+9D9/jGYzCYC4rvj429j8KiefLliF2Bic5kFc0Yy5fUlnhuIiJw3hVMREfGoo8eP8c7W\n1VhSEmjavJvaQwWMO1pMdGG5+5j8SF+uuGs4JrOJVWty2XfgBAccNsxtrfTsGcXmvHpKUzMJLTjE\n+InjPDgakfPj8nQBXkDhVEREPOrz3ZsJGTEQgMCIMEZv2UOv04Jp65AEcv3baXp/L7X19Rw4VsFN\nN1zJieOV7DlUw4g+IwnyO8Ko2jKuGTmEngk9PDUUEbkAFE5FROSiyt61my1HjhHua+X2qZM4VHyc\n5MEp4HKR8fGX9CivdR9bmx7H7nCDEN9ArBZfnnzsfn73p7eJ7hlHdM84guy7GZ4xmBGDh3hwRCIX\njtY5VTgVEZGLaNWWbfz3gTJaopIwHHZWv/QHAtPjqT1axIS9efTYm+s+1jmuLyf6RXHt8B7kHThB\ndFAUW7buJrlHAu3/PMYnwBfDMNwz9kWk89NsfRERuWjW5R+nJerkx+4mH1+OBsYQktybIWt3nhFM\njydGcHR4Ir4uG6FhQfTpn4DZbKKltZm6plYA7K02Att8MJv1p0y6DqfR8Q9vp59oERG5KPYc3Edl\nSRGGceqvo6XdxvhPPmNAUbF7W0Pv7hzpaSHM1MrkKRkAFOSW0KtXHOXlNfhb42jZVoY1p5lZ37vz\noo9DRDqWPtYXEZEO94/PPiI/wkrshH4EfvYFzT0ysDRW82jjcQaWn1rHtDa5G5N++QAVHy2lta6J\nLz7egtMOA9JSyS8oprU1mJtvvNGDIxHpWJ1hHdKOps6piIh0qNbWFg7a6wmMiyEkJoqpt4+n56FP\neKK5gGGnBVNLVl9ifjKNP761EJ/AbqzZXAiGQWyPMEqryigqK2Ps6Cs8OBIRuRjUORURkQ7ldLrA\neqoXYrFYmIWV1IIC97amjARiZo3FZDZhjvCnrFciMYYFGtppbWzD2W4hMrgvCQmJnhiCyEWjzqnC\nqYiIdKCNu3ez5MAhKoqPEpiUgF9QIGl/X0xqTb37mJwQK0Mfm4zJfHLGfYutHVtpJRG1cO337vJU\n6SIeoXCqcCoiIh2gtbWVz75cxbuHjuAYlolPQxUHlq7kpso6Uhtb3MeVXNafg90D2PfqRwwe3Z/i\n49VsLwOjoIA/P/qUB0cgIp6icCoiIhdUYeFRXvrwPYIzR5ES1o8jX37EuJsnM3R5AwkFp773vuSy\n/hyekYVl5zbGjBjApMzRBAcH8OqfP6Fb92FYLBYPjkLEM5xahF/hVERELpyP12Xz8o4j2KJGErju\nMINHJpE8cggDFq8i4UiR+7jDid0omjaWhoICglprGJieRWhoEACXZfTC0RbiqSGIiIcpnIqIyAVh\nGAbv7jmCI2UwZqAtvBv5ezZyf2MFyfmngmlObBjNI6Op+ewjLO12Wgwr3bt3c+8/dLwSk9PMsMGX\neWAUIp6le04VTkVE5AJq49RHkibDxc3Hj9G3ptK9Lb9HFIF3jaFo81769o1j28ZceiWk8+s3l9Ov\nZzT1LXbKA8IYbArzRPki4gUUTkVE5IIwmUwMD/Xhc1srJl8/7t38ESNOC6bHk7qR9NPv4TIMmhIi\nmDR5EHmHK3CEx5ISGsL+6grw8SOmqp3J10303EBEPEidU4VTERE5D/vyctmac5jEbpFMGTuGxDBI\nO/wFk09UcFlzs/u4kmH9yfa3kVlUzvH9h7nmmmH4+FoZNbQn+w4c54Yb52C323E6nQQEBHhwRCLi\naQqnIiLynazZtp3f7DlBQ3QSlmO1LFrzK4bcMJzZJ44RfVowLR7Wn/XdgwmurmHrJ+t49MfXYbWe\nnIlvt7WTltQdAF9fX4+MQ8SbuDxdgBdQOBURke/k04P5NET3BcAZHMEhVyB3rtpB9O489zH5kX5s\nN9eSZDWo8zExfsYoPnj7S5JT42hubKN/n16cOKpQKiKnKJyKiMi34nA4eOOj9zhUXAbhJ8OpyXAx\nu/o4MYW17uMOJ0QSNTOdCU0tTJw0iIaGFl54ZSXN5kCsrjZSUnpwPN/KhKyrPTUUEa+jdU4VTkVE\n5Fv6cNUy2oamkh4VzLYDe7HH9+ferR8zpulUMM1LiOQLcyvX1DUxdepgAEJDA7n5mkG8fyKMAZHJ\nXDZ4mKeGICJeTOFURES+lWZXOxYfH2J7J3J5aA1pC95hcG2De//hxGiyo/zo5gph++YCzKaT95am\nD0ikrc2J6VgJ6aOne3AEIt5Ls/UVTkVE5FsKcLgoKaskKCaKsRt3kXhaMC25rD8FWUMZU3OUuqJS\nbrxrBv7+J+8pXfrBBrL3VvHUrB8TEBDoqfJFxMspnIqIyDlbtnY5pRHtOMuL6b1oOYnVp3VMo/zZ\nF+wkqfCEFWA/AAAgAElEQVQAKSnRHKz2cQdTgLCYSJriuhPTLcYTpYt0CuqcKpyKiMg3qKmt4fN1\n69ldnI8lOpKKE8cYeeVoxuw7SrfTgmlVWhw1A7vRvaUZi8XgwIFCCgpraWluIzDIH4ADh8oZ6N8X\nHx8fTw1HRDoBhVMREflKh/ILeOLDFTQkD8Zkaie5rY6U6dOJm7eAbuU17uNyE7pRPDCeIIsTa0Ag\nAyYN593/WUJ48gDmfnSIhDALDS0Oypr8eOGB2zw4IhHvp84pmD1dgIiIeJ/yynIeff0NGvuNwuTr\nD/EpFB5vYvRnq0k7LZjmRAWxNiGU7t3DKc4vJiQ6HJPJRFT3aPwxEz5yNM39RmAZOpYesT0wmbRM\njoh8M3VORUTkDNXV1Tz+v2/QHJHo/iNhMlzMriqid2OV+7i82BAqJw+AnblUlITSp093nM0ttDva\nSQjqzvDBmSzesJr2IF98mx3cOm6aZwYk0ok41TlVOBURkTOt2LyO0uCemHyCcRbnY41P5t7tyxh3\nWjAt6hXFnh4hJFgt3PLYjVQWlRPRVsna9Yc5vL+KJ77/DL6+vvw4KQWbzYa/v78HRyQinYnCqYiI\nuH2avZHPDxRiq2nCMjgLo7GW2WvnM66x0n1M9dDe5CUEEl5bTd2JEraXl+PrsnOwoY2e119H4dpd\nGMbJ9o/JZFIwFfkWXPqGKIVTERE5acWmzbx8pB5bvwlYDIP27at5yNJ+RjDdERpIgdHIMzOnYLc5\n+J+/fo4zJIq8o00MueV7mC0WQlPiqaysoEePRA+ORkQ6K4VTEREBYGthCbaIZADMGDxor2VcTbF7\n/4G+vdmRFEWLyZdnfrOYbr174Tt6AgHhoVgaNmK2WABwlNXRLSPaI2MQ6ew0W1/hVERE/inMasJw\nOjGbTdy7e+UZwXRbRBi7UqIJ9Pfh+I5cpo6LJ6/FBVXVtOXsx7+yjppth6HdxdS0sfooX0S+M4VT\nEREB4PszpnPszXcZcjSfUTUl7u3bIsLZ3q87IThIDLXSGO5D35Rorh+QRF1dE1HderHy0xImZt3o\nwepFuganpwvwAlrnVEREAPDz9eU/fF1nBNP18SnkJQeQ1dufEbEGoWYn4QnRvPV2Ns3NbcTERvDl\nF4fo03uEBysXka5EnVMRkUuM3W7n78uW0+BwMrZvCqMzBpG9NRvziuVEF55wH7cnIoylwQE8NSqG\nyZMGApCXV8K6rce4+94JvDNvO/2SB9I/bToxMd09NRyRLkX3nCqciohcUgzDYM5f5rElNgOTr5WP\nNxwidtlibmlsYFBFtfs41/i+DLpjHPceKCQ44NQHjX37xpMauYdeKXGUH2tkQtYMTwxDRLowfawv\nInIJqa2tZavND5P1ZG/CGd+ba+uazgimhxOjsd80Eswm+g3qxY79pz7mP3a0nBGj+gDQblOLR+RC\ncxmmDn94O3VORUQuAS6Xi5f+9nf2F+TR7puAlZNfSXrv7i8YXn1qHdOcHtFsSolmJieDp8vpojC/\nluWf5OFytZN35ARpl6WQ/VkO6UnjPTQaEenKFE5FRLq41tYW5vzuZYwBiQydcj3mL7ZyOG8X99cc\nZ1zlMfdxe3smsDkxBFtJGTs37CemeyQ5Ww/iExpAUa0/d82YyeQsEw0N9QQPCsHyz3VNReTC0T2n\nCqciIl3a+u27+O2KXZww9yNsfxmh0WUMnjyca//4DgNrm9zH7QwPZr1vK4HVLdw4tR99+iXQ3u4k\nwJHEtuNtkNGdZWuXM+Py6YSFhXtwRCLS1Smcioh0YXPX7KI4Kh0T0EAi+zZt4Yd+B0g8LZjmp6eS\nE2zjtqzebFq5kxFj+mEynbwvbeP6HOKHj8E3wI8mR52HRiFy6XCqc6pwKiLSlbU4T817NRkubi49\nTmLDqclPR5Oi2RPawo8enorJZOJYznE+/nAzqf3iOF5YTXVQLN0C/Ggqr6FfRKwnhiAilxjN1hcR\n6cKGRvuBvRWT4eLBwysYeVowLegZTet90+nTNx6TyYTd7qCqoo6w7t3Ytq6JtPhp+Df50rT9KD1q\nfMgcMc6DIxG5NLiMjn94O3VORUS6sJ/dcysJS5YR+OUShrSc+lj+QHQox0akUDn/Y3pG+7NiSSOV\npTU0NbXia3FR1lxLev8BpPcf4MHqReRSpHAqItKFmYBpNaU0nBZMj/SMpvL6TOx795EQ7U9MXATt\nDieBIQHc9sB0LBYzx4saPVe0yCWsM3Q2O5rCqYhIF7F+x27mbdmPHRMTEiOZNX0KO/77BcKPHnUf\nUz0ijebrsgi226mx27BjEBIdxbbsA9x172QslpN3exkO59ddRkSkQymcioh0AVXVVfwq+yAVMemE\nl2xjU1UtUc+uIK2y1n3MrkBfjvjbCNmxE3/DTmJsEFZrKPU1DQwZ2Y9FCzZyy52Z7N99nP49Rnpw\nNCKXrs7wDU4dTeFURKQLOHikgPKQBHzL88gck0Dm9n0knhZMDw9OJzs6lPiKg8y4bSwHdhwmPaMf\noeHBAOzbcYTwwO4c3xXEgB5XER/Xw1NDEZFLnMKpiEgn19zcRGRwAFEVe4g2TjByeTOJxVXu/XsT\nYth35eWE7NrEkCGJvPXyB5jMZkZnnZrslJgcS3luJaNGZHpiCCLyT7qhRuFURKRTW/jBJ/zprdXU\nNxkMy7Rwb/cIuuUXuvcfSIjhi/goIndu4IbhkQzqH4vZP4jsnSfIzSmmX/8EAPZsKmDGtNmeGoaI\niJvCqYhIJ9XS0swbf19NeV0wZgyutTfSbddh9/4D0WFsCmvn7qtSObY/n+QeYWzZmMea3dWEZF3J\nF0eOsevwfpzlNVx3+e2EhIR4cDQiApqtDwqnIiKdVnNzM/VNBmYMHouroV91s3tfxfA0PvMPJMbS\nio+PhdHTRvG3Nz6jX89h+A/ri09AID790ml1uUgyldMrqbcHRyIicorCqYhIJ+J0OvnfRZ9wrMVB\niMvBoFRfxjeWkhXc7j4mNzGaT339MKcNoWXTp0REh2MymWgxR3DN9JvIX/AWrf7+WP18sW3dx/Rr\nZnpwRCJyOk93Th0OB3PmzKG4uBiLxcIvf/lLUlJSLmoN3xhO7XY7n3zyCatXr6awsBCTyURSUhKT\nJ0/m6quvxsfH52LVKSIiwB8/WMpb9VFYW6oJri3g0cA6BhqngmlZ3zg+jUvE6RdA2/KPuHv2WCwW\nMzvW7aNbYAxms5kf3XoPazdnY7M3k3X9HQQGBnlwRCLiTdauXYvT6WT+/Pls3LiR3//+97z66qsX\ntYavDadr1qzhT3/6E8OGDeOGG24gPj4eq9XKiRMn2LJlC/PmzeORRx5h8uTJ33iBPXv28Nvf/pZ5\n8+Zx8OBBHnroIZKSkgC4/fbbmT59OgsXLmTBggVYrVYefvhhJk6ceEEHKSLSVRyqbSOkej9TLgtk\n4pF2oott7n2FqfEciPPhmqFh7N2SQ7feoRzZdYR1SzdRERLH2LiTv3vNZjOXj83y1BBE5Bt4ep3T\n5ORknE4nhmHQ2NjokUbk14bTY8eO8c477/yfolJTU5k4cSJ2u5133333G08+d+5cli5dSlDQyXfl\nBw4cYPbs2cyefWpGaGVlJfPmzWPRokXYbDZuu+02xo4di6+v7/mMS0Skyzh4+Ag7DuaS1qsnkVaD\n9LBaJh6pI3p3nvuYqhFp5GQkE3x0D9X7CvDxsTDtromYTCaam1p597N8HIZmWojINwsMDKS4uJhp\n06ZRV1fHG2+8cdFrMH/djtDQUGpra79uN76+vmeEzK+SlJTEa6+9hvHPX4j79+9nzZo13Hnnnfz8\n5z+nubmZvXv3MmzYMHx8fAgODiYpKYnc3NzvOBwRka7l74uWcs9flvH7EyE8/EkOrppqph0vOyOY\nHoqLIH/6aHLXbKZbbAR9UnsQGxOCyXSyAxMUHEBEeyPjBg3z1DBE5By5LsLjm7z11ltkZmayfPly\nlixZwpw5c7Db7Rd0jGfzteE0Ozubm2++mauvvpoXX3yRtWvX0tbW9q1OPnXqVCwWi/vfgwcP5qc/\n/SnvvPMOiYmJvPbaazQ3N5+xfElQUBBNTU3fYSgiIl1LbkEBr248SHv3RIzygxi4SM7PI62m0X1M\nYVpPPrK62Ll8A0mxAeTlFBEbE01FyanmgmEYxPpGkhif4IlhiEgnEhYW5v7EOzQ0FIfDgct1tkh7\nYX3tx/ovv/wyAEVFRWzfvp0vvviC3/72t0RGRjJu3DgeeOCBb32xKVOmuIPolClT+OUvf8mIESNo\nbj61/ElzczOhoaFnPVd0tNbj6yz0WnUeeq28y6Ovr4NhUzEBpphEHtz0D7Kcp4LpniArX7bVknFZ\nH1KSIik/UojT5OTNNYe4dfS17Fi5D5OPC1erlbtvuY/wcL2+nqKfLTlXnp6tf8899/D0009zxx13\n4HA4eOqpp/D397+oNZx1KanExERCQ0MJCQkhIiKCNWvWsGLFiu8UTu+77z6eeeYZMjIy2LhxIwMH\nDiQjI4NXXnkFu92OzWYjPz+fPn36nPVclZWNZz1GPC86OkSvVSeh18q7bNu3nx1l9RABJsPFQzkr\nyWqrdu/fEhrCsmHDuXOwmd7pSZQeK6MRJ8cCY6DGzID+IxiYPhLDMDCZTDgc+r3pKfrZ6jy84U2E\n4eEJUYGBgfz+97/3aA1fG0537txJdnY22dnZ1NTUMHr0aMaNG8d9991HeHj4t7rIv+57+sUvfsEv\nf/lLrFYrMTExPP/88wQFBTFr1ixuv/12XC4XTz75pCZDicgl78OdB3AFBkJjDQ8VbSer7JB7X8nQ\nvqwtLmCyTyHb17Ww5B/riQsPoaXdQmpyMvc/cLv79+6//lNEpLMwGcZXT99MS0tj/PjxPP744wwa\nNOhi13VWehfaOahj0HnotfIOew/lsuXgYdYezudY33HMXv8BmQ1l7v1FA5L5oK2emzKTuHrGGAB2\nbD+Cj5FB3z4DPVW2fAP9bHUe3tA5/fGW1R1+jd+OmtTh1zgfX9s5/dOf/kR2djZz5swhPDyc8ePH\nM27cODIyMi5mfSIil4w1W7bxXxuOUReehKmllEeyFzKuocK9f3dUGMsqSxjQK4Sa2mbq6poIDw/m\nsuGpLP+4QOFURLzGoUOHKCwsxGKx0LNnT/r27XvOz/3acHr55Zdz+eWXAycnRW3YsIG5c+dy+PBh\n0tLSPH4/gohIV/PJ3gLqwpPB5eSJxoMMbzg1435PTCT7Lh/OzdF2Bg/txYYV2/n48+1cP2MUdns7\nfr7BHqxcRC6Uizsv/sJyuVzMnz+fv//97wQFBZ3xBU6NjY3cfffdzJw5E7P5axeLAs5hQpTNZqOk\npITa2lpsNhs+Pj66h0lE5AJzOOw4WhohyMljBxYzvPFUMD3QLYSVoSamhjQxZFg/AHz9fBmZOYC/\n/WU5SQkZTL3iVk+VLiICwOOPP86YMWNYuHAhYWFhZ+xraGhg8eLFPPLII2dd2P9rw+kLL7zArl27\nKCoqYujQoYwePZqnnnqKfv36XZgRiIgIdruNe5/8fxSEx2KKiuGRHe8y1nFqree6UWkwYzQjDh2i\nqe7kfYttLTbaHe20NLaR0X86o0dleqp8EbnAPL2U1Pn49a9/7V4j9d+FhoZy9913c9NNN531PF8b\nTqOionj22WcZMGAAVutZG6wiIvItORx2rp/5QyqTU/EbPoF7d69k3L8F04obMjm2ZQ8ZQ5PZvXIL\ni//+BWHhQQwcmsqeteXcOOMqD45AROSUoKAg8vPz8ff3JyHh5Jd+LFu2jL59+5Kamuo+5my+9kP/\npqYmkpOTvzaY1tbW8pvf/Oa71C4iIsCHi5dR0WrHEh50MpieyHHvq+wfzyemVo5s2k5K7xja7Q6S\nU2Px8fchd3cREe0DuXHGbN1mJdLFuAxThz86yqZNm7j77rspKSlxb6uoqOCee+5h8+bN53yer22J\nTp8+nUcffZTo6GhGjBhB9+7dMZvNlJSUsGXLFsrLy3n66afPbxQiIpeoohNFrNy5kaH/MZPMTz5n\n1GmTnzb5WEl7aBqXN7eSsy2HI7vzqC8po1tUCL44efaFm9i0ch+9evX34AhERM70+9//nr/97W9n\nzMy/5557GDlyJM8//zzz588/p/N8bTgdMGAA8+bNY9OmTaxevZo1a9ZgMpno2bMnt956K2PGjDn/\nUYiIXIJ+8+YfqUuIIPmmiaS9v4xBDfXufTv9rXS/dSgbl6xl2JWjiUuOo6HoBNddfw2bl2/lxptG\nY7GYsfo6PTgCEekonXm2vs1m+8olo9LT02ltbT3n85z1ZtIxY8YoiIqIXCB/fOcd1pY2ENxqcG9T\nLsnVp4Lp7qhQivtHcue0EUx1tPPOgnW8dyKE5PIiju8/zo/nXIPVasFuc2C0X9zvuhYRORun04nd\nbv8/3/Rpt9ux2+3nfJ5vXmhKREQumH15ecwrdlKedAVTShpJzjvm3rcnLpbaW7JInnY5Sz7fQVCQ\nP9+bdhmJvs2EThiLKTSF1Z8WsW7FMdZ+VsmM6TM9NxAR6TAuo+MfHWXSpEn853/+J21tbe5tNpuN\n559/nnHjxp3zeTQNX0TkIlm77xCOHgN4KGclWWWH3Nt3Blgw3X8FcSEnZ7E2tDowDINPPt5M8oRJ\nWP18cSYl0ny0iqvHXQPwz86EzRPDEBH5So8++ig/+9nPGDNmDH369MEwDPLz85k4cSLPPPPMOZ/n\nrOH0lVde4YknnjivYkVELkVOp5O/fLKUE4522muraaio5sHmfWRVHHYfszUogN0poWQGBwJQcqiA\n0MY2Fi3cyLHKBnz9Tn48ZvGxYjN0n6lIV9eZ1zn19fXld7/7HYWFheTk5GCxWBgwYADx8fHf6jxn\nDaerV6/m8ccfP+tXTYmIyJn+8slS1sbEY/bzB6eTa95/h6E1Ne79m0NCWN3Nj6ykMPYs/gyz1YqP\nrZWw8HBKKxtoNUXiYxiYTCZa8o4yJHmgB0cjInJukpKSSEpK+s7PP2s4DQ8PZ/r06aSnp+Pvf+oG\n/BdffPE7X1RE5FJQZHdg9vPH5HLxvTVfMPi0YFrYNxH7DROIy97GpOnDCAw6+fv1s482U1tqY/ad\nP8Zut7N4/UpcZjNTktMZ1C/dU0MRkYukI9ch7SzOGk6vv/56APdCz8Y/38WLiMg3s9dWg9N5Mpjm\nnlpgf19CLPU3T6K1oRlLQzUrP99FeHggbW12DKsPvXr0JiAgkICAQO6Zcfav+hMR6UrOGk5vuOEG\nioqKOHLkCJmZmZSWlpKYmHgxahMR6dR8nA6ufv+dMzqmu6Mj2Wg1Uzd3IY6IGAYmxRIUaMbuBHs7\n1BU2cs8jCqQil6rOvM7pvyxevBiTyYRhnLyB1mQy4e/vT0pKyleug/rvzhpOP/30U9544w1aW1tZ\nsGABM2fO5D/+4z+47rrrzr96EZEuoqiklN8vXE6tHRL8HDx26wwGHcpjWHOT+5g9PeJJuKUvl1fW\nEZ08DIfDyaJ/bMY3LpYBqfGEx8Qz+uoJHhyFiMj5W716NQcPHuSKK67AMAzWrl1LTEwMLS0tzJgx\ng9mzZ3/j888aTufOncs//vEP7rzzTqKioli0aBGzZ89WOBUROc0v317KbksamGB/i43k/3yB8Y7T\ngmn3aByTezJgSDIAn3+6naj4aPqkRPDgzU/h4+P7dacWkUtIZ56t/y+VlZUsXryY0NBQAH74wx/y\n4IMPMn/+fG644YazhtOzTsE3m80EBwe7/x0bG4vFYjnPskVEug6Xy0Ve1ck1R02Giwcrt5wRTPcH\nmoi8LoWrJvcHTt67X1laTVRMOLE9ItmxZ7NH6hYR6Qi1tbUEBga6/+3n50d9fT0+Pj7ntPrTWTun\nffr0Yd68eTgcDnJycnjvvfdIS0s7v6pFRLoIl8vFq28vpLGuEmuMiwfKsslsyHfvr+4fT+QNQ9nz\n5XbiEqOJignnkw+yybx6NBHdwomKCWf7F3lAlucGISJeoyvM1p86dSp33303V111FU6nkxUrVnDF\nFVfw0UcfER0dfdbnnzWcPvfcc/zxj3/Ez8+Pp59+mtGjR/PTn/70ghQvItJZOZ1Otu3azZJV6/jC\n3hdL/GC+f2QJma469zHr/YO57IHJhAX4Etsrgeb6Rt7+60riU+KI6BbuPs6s7+oTkS7kqaeeYvXq\n1WzcuBGLxcL3v/99JkyYwO7du/nd73531uef9Vfie++9x/XXX8+Pf/zjC1KwiEhn197eziO/+h92\n0RtcyVhOrOX7IcFknRZMN/j5sye9G2MC/nUvqYF/oB9hsVGEx8VSfLyChJ4xNNQ0YrGFeGYgIuJ1\nusI9pwChoaGkpKRw4403snfvXgCGDBlyTs89azh1uVz84he/oLKykszMTC6//HJGjhyJ1aq3+iJy\naVr0+Up2+QzEZPXFZLj4fnAgWY0F7v2b/XzZlZlBVHMFznYn+fsLqCmtJMdiwTcwkLRRAzm67zCb\nVx1gRL9xXDP1Kg+ORkTkwnrrrbdYtWoVFRUVTJ8+nWeffZabbrqJ+++//5yef9a7Uh944AHmzZvH\nBx98QEpKCnPmzGHUqFHnXbiISGeVc/gwWHwwGSfvMc1qOubetz0ogF3R0ZRt3M3m/FY+f28loVFh\nTLz1SlpaHQSEBGIYBsFh4QzqPZLMMVfoi01ExM11ER4dbfHixfz1r38lICCAiIgIPvjgAz788MNz\nfv5Z25/Lli1j+/btbNu2DYvFwvTp0xVOReSStTc3l0/W78cnppJ7A33OmPy0wceHFb5mhg8I40c3\nTKYwv5S9606weeV+HA4HUYE9mHH5VA5tzqFnbAqDMgd7cCQiIh3DYrHg63tqeTx/f/9v9Yn7WY98\n8cUXcblczJo1iylTppCSkvLdKhUR6eSOHDvGc+8tpT04mAfqTpDVfqoHsSkkjJAfXc2doUHkrd6I\nyQS903pwPL+UzJ7XMHjAMPexvZL0e1REvlpXuOd0xIgR/PrXv6alpYWVK1eyYMGCb9XYPOvH+uvX\nr+ftt98mJCSEP/zhD1x33XU89dRT51W0iEhnU1JWxlOL11PU93Ie7RnNhOBTwXRbgA/hP7mOwLBg\nTCYT4ck9qSyrBSAg2J/tR7Z6qmwRkYvuJz/5CUlJSaSlpfHRRx8xYcIE5syZc87PP6ceq8vlor29\nHZvNRmtrK/7+/t+5YBGRzsIwDOYv/oy9hysoLi2kKH08j+SsJKvskPuY40PT2RpoYXhdI1EBfgDU\nllQQmtaH6soGqura8A8MwzAM3VsqImfVmdc5LSkpcf/3rKwssrJOrd9cUVFBfHz8OZ3nrOE0MzOT\n+Ph4JkyYwA9+8AMGDBjwHcoVEel83vvwM/64rAqXJQyMATyy4X2yfNrc+w/2jOfY1RPoBexe8C69\nhqRhcjg4sL+EPdW+tB7J5fGfXEPBqqMKpiLS5d15550A2O12qqqqSExMxGKxcPz4cRITE1m+fPk5\nnees4XTJkiUYhsGePXsoLS0lNjaWbt26nV/1IiKdwJ68clyWcEyGwf3sYfxpwXRreASVd30Pk8lE\na3U1105Nx9bYyJU3juInL9WQU1jK5NQkKjdVc8v0Ozw4ChHpTC7GbPqOsnr1agCeeOIJ7rjjDoYP\nHw7A3r17+ctf/nLO5zlrOD1w4ABPP/00gwcPxjAMnn32WV544QUmTZr0HUsXEekcQgPNYLi4n92M\np8i9fUuAPydG96Rx3wEwDFylxxnx8Bi2bDhEzoHj3DB8MiOGZ6pbKiKXpCNHjriDKUBGRgYFBQXf\n8IwznTWcvvLKK7z33nskJiYCUFRUxKOPPqpwKiJd3qOzriHhyZ8xzmpzb9sYGE7jYCvdwn0YMzSJ\n5sZm6q1V7N1dQM7BYlrq47hqetY3nFVE5Ot1hdn63bt35w9/+ANXXXUVTqeTpUuXkpycfM7PP2s4\nbW9vdwdTgMTERAyjC/wvJyLyb/bl5LJi814sLgezrrsS+0eLzgimh2MjmPTUOHolRfHh+5vYuPBz\nGmobuazvWIzWFO6aeTfBwcEeHIGIiOe99NJLvPrqqzz55JMAjB07lhdffPGcn3/WcBoXF8dbb73F\nTTfdBMAHH3xAQkLCdyxXRMQ77fr/7N13WF1Vvv/x9z4NDr0TOoEU0hNID5DeE1Nssc3YdX6WGb1z\nZ8ZxLONYonF0dByv0TTNOEZvNBqNNZBieg8kEBIgIXRC75yy9++PjAe5E4XUA+T7eh6eJ6xz1t7r\nKwIf1l577bQjPPDmd9gDBoBqw/t3f2Sc0hpMM8OCmP/yDBTd2Uv1I0b0Iqi3leje4Wz7PJPRo5Oc\nNXQhRDeideG79cvKyggKCsLHx4cnn3zyZ9/zc9rd5/S5557j4MGDTJkyhcmTJ3PgwAGeeeaZCxu1\nEEJ0Qlarhd+8uAx7wICzjySt3dsmmO73cudolAsrVm8jP78CgH0HThIaGQyAzsXulHELIURn8sor\nr/Dqq69y8uTJ/3gtJyeHF198kZdeeqnd47Q7cxoQEMDLL79MVlYWBoOBPn36oNO1m2mFEKJLqKys\n5P4/LKHOZsSo2rindi9Jza0/WPe6utDv8dmM8Dt7uf6zj1IJ9jVT02TF5GJE0zTy86ucNXwhRDfT\nldecLl68mE2bNvHEE09w6tQpgoKC0Ov1lJSUEBkZyV133dWhe5baDafbt2/n97//PUFBQaiqSm1t\nLX/7298YPHjwJSlECCGcRdM0fvXHV8mutqLoVO4p2kCSocHx+r6wMDZ5Gxjl17qONLJPJLExQax7\nfxPrvkynpt5KsKc8jlQIIQAmTpzIxIkTqa6u5vTp0+h0OsLDw/Hx8enwMdoNp88//zzLli0jLi4O\ngPT0dJ566ik++eSTCx+5EEJ0Aq//82Nyw8dgjDFzT+FmkhsqHa/tNpt5o1IlUm2kpdmCi6sJgKqy\nKuoD3KlpsFKNP97Nddw4b66zShBCdDNdeZ/TH/Px8TmvQPpj7YZTFxcXRzAFGDRo0AWdSAghOpvt\n2cyteGwAACAASURBVGXo3Ptxb8k2khryHO1HAr1p/tUNxPxtBd7+0fx1yVcM6OUNFgt2u40TueV4\nTZuH19E87r/xDoxGoxOrEEKI7qXdcDp48GAef/xxbrjhBnQ6HV9++SWhoaHs3bsXgBEjRlz2QQoh\nxKWiaRpff7eZnQePkFdSw73u20iqzXG8nh/fj73hAXifzGP4sDDuvjuJ77dmkqWE0GKxU1leQ/CQ\nQWiqSqBvgARTIcQl1ZXXnF4q7YbTnJyzP7RffvnlNu2vv/46AKtXr74MwxJCiEtP0zT+vPhtvttv\nwuJWz33eTSTVFjpez+oZzsnZ42nZsRcPQwM6o4HiwnKSkvtx7OOj+A8dTvnpIuwWC5Z9R5g1d5ET\nqxFCiM5r/fr15OTkcN999/Htt98yf/78DvdtN5xK+BRCdBf5+fls3NOIzV7Bfe75JDc1OV7bZvYl\nPcQL79xThLvZCPQ0M3LYIE4cKyAg0Afrv3eL8lF1DC+zMG7hbZjNbk6qRAjRXaldeJ/THyxZsoSS\nkhIyMjK4++67+fjjj8nMzOSxxx7rUH/ZE0oIcVX414df8JvH3sNae5p7fApINrYG081uoRwd1x9F\nr8dUfQZdVRXXjO3LgP5RtDRZeGfZZrwGDqL2xGkmxsUzJWmiBFMhhPgJ27ZtY8mSJbi4uODp6cnK\nlSvZunVrh/u3O3MqhBBd3f6Dh1n+wUla7JHc36OecabWfUmPhQVROyOBIT3D2PHFNnS2FkJ8zPgH\neLNndxbFeRoLkm8lNy+PfrHD6RnV8edDCyHE+eoOd+vr9fo2n1sslv9o+zkSToUQ3V7W8VM027y4\n2zuDceYSR3t6gCdfB3oTVFbFqRMFnDlZwMO/GskXn6Sz9oMsevcazL133wRAXJ+4nzq8EEKIH5kx\nYwaPPPIINTU1rFq1is8++4zZs2d3uP9PhtPbbrvtJzspisJ77713fiMVQogrbO36b/k05SgNdZXc\n5VXFOHO947XNnj04PTycXiE9OH2yFL1Rz7ykCBrrm6jy8eZgUxNDPXydOHohxNWoO9ytf+edd7Jj\nxw5CQ0MpLi7m4YcfZuLEiR3u/5Ph9MEHH2zzuaIoaJrm+LcQQnRmK/+5lv/5YD+Kzsw9XuUkurWu\nMd3kGcqGUD96NrTQw9OV+KRB5KVsxi/QFbPJQIiuCd3wAWxL28cNPa5xYhVCCNH1XH/99axbt47k\n5OQL6v+T4XTUqFGOf+/bt48TJ06wcOFC0tLSZG9TIUSn9tunF7N1VzlG3+HcZUon8Uc3P21V9Gzv\nH8LY5GHoTUYKjmdT+f7H/H3JLXh4ugKQuvMkqt2ODvlDXAhxZXWHu/X9/f3Zu3cvQ4YMwWQynXf/\ndtecrlq1ipSUFMrKypgxYwZPPPEE1113HXffffcFDVgIIS4Xm83GHY8/yfFsd3Qm/38H09Z9THea\njGz0dyOwpRyd4eyPP1tpMUHuCuUVtZjdTHyTcoT8Wjt+29OYvfCXzipFCHGV6g6X9Y8cOfIfy0MV\nRSEzM7ND/dsNp+vWreN///d/ueGGG/D19WXt2rVcf/31Ek6FEJ3OS29/wMkm0OkjuNtlZ5sZ0xSL\nkexfLiCoqZGKrVuIPrQNm81GnGsL7gl9ePXVz3Hx8kJTjSQPnsD0ydMwGs//L34hhLja7dq166L6\ntxtO9Xp9mylZV1dXDAa5yV8I0bmUlpXx7d5jGCK8uLPmQNtg2gSfxIQxtkcQtuZmykwuhBgaCAz1\nobzcRvKsEUT2jWTbtlp+f/v9TqxCCHG16w4zp2+88cY52//v/Uw/pd1N+EeMGMHixYtpbGxk48aN\n/OpXv2qzHlUIIZwt83g2N/7hdRr0vtyaf4pEY7XjtdRmhW2P/BrviCAAStOPYrI0oaHgExrIhGvG\nYTQaMLsaGN9vsLNKEEKIbuOHG+gBrFYrqampVFRUdLh/u1Ogv/vd7/joo4+Ii4vj008/Zfz48Sxa\nJM+TFkJ0DhaLhadXfk1zSCL31+wmqbnZ8dpGzczamAj80/ZgOZHOsepSmiqr8U+czI7SXJrTC4mK\nDaOl2ULGrjJuXnidEysRQgjQusHM6UMPPdTm8wceeIA77rijw/1/MpwWFRU5/p2cnNxmO4CysjJC\nQ0PPZ5xCCHHJFZeW8PAzSzhl68n9xt0kNZ90vJZideWTIH+SZg7E3d+P05YzZDZ4Er1gJnpXV6wR\nMWyvqqDizd0MjxvEjfPuQ6eTJzoLIcSlVl9fT3FxcYff/5Ph9NZbbwXOzkqUl5cTERGBXq/n9OnT\nRERE8M0331z8aIUQ4gJVVFSw4M4nwB7B/T7HSPJo3WA/pcXEMrsns+aPwjs0mNK0I3i4uxDVUEFV\nRgYB8fEAGBoamJo0m2H9BjirDCGEaKM7zJxOmjSpzec1NTXcddddHe7/k+E0NTUVgEceeYRbbrmF\n4cOHA5CWlsayZcsuZKxCCHFJLPv4U5au+xKDNph7/QvbPPkppcXECqsH/RI8OPXtRhp7ReFiVIgO\n8SDQ0ML2ejtFO3YRjY1rE4ZLMBVCiEts9erVbR7c5OXlhaenZ4f7t3sNKzs72xFMAQYPHkxubu4F\nDFUIIS5eXV0dqw4dR22xc49vIePMJY7XUpvg8K/vYOSfbsMlOJDIQb3x9nIlLtSNUckD0axWpkZY\nMJSV8fIddzNx5GgnViKEEP9J0y7/x+W2ePFiwsPDCQ8PJywsDE9PT375y47vG93uDVE9evTgtdde\nY9asWdjtdtavX0/Pnj0vatBCCHGhikqKaWlq4v6IHiTWtm6wn1rvxpa5Y7Hs3kVw8niszRaMPi5U\nn8impX84X73/DUlThqJoEOfWH1dXVydWIYQQ3c8DDzxAZmYmZWVlbS7t2+12QkJCOnycdsPpkiVL\neP3113n00UcBGDt2LC+88MIFDFkIIS6O1WrBz9ubB+uKGGNvcbSnWMx8EtODXoMHUH8yl+oD+zGf\nOkqLEo5LeATBgR5MnDYMvV7Hvo2ZzBk3y4lVCCHET9M6yaLTiooKFi5cyKpVqzo8Kbl48WJqamp4\n9tlneeKJJxy1GAwGAgICOnzudsOpj48PDzzwAIcPH8ZutzNs2DA8PDw6fAIhhLhYFZWV/PmNtzha\nUssvtbq2wbRHP96zWOgzMQEAra6Ge4aoJD9wMwX55bz6QTqb8vM5ebwAH1d/xg6Zitns5qxShBCi\n07NarTz55JOYzebz6ufp6YmnpydvvfUWGRkZNDY2omkadrudbdu2cd11Hduur91w+v333/PHP/6R\nIUOGoGkaTz75JM8999x/3IklhBCXQ0lJKXf/7hXO1MF9/iZG0+B47WhUGIdj/YitqaXhWCb2mhoS\nTKUkJ55dSxoeEYChtp7eA8aQHDeYfr37OqsMIYTokM4wcfrSSy9x0003sXTp0gvq/7vf/Y5Dhw5R\nXV1NbGwsx44dIz4+/tKF01dffZV//etfREREAJCfn88DDzwg4VQIcUW8/t4H2D2s3GdyJ5F8R3t6\naA9yb5lHrKKQu+sgJu9AQrO2EDWyF7nZJcT06sHeA3l4h0Rx39zrnViBEEJ0HZ988gl+fn4kJiay\ndOnSC1pmsG/fPr7++mueffZZbrvtNgCeeeaZDvdvN5zabDZHMAWIiIjoNOshhBDdm91up8DUyJ0e\nCkMqW4PpJjWEo4P6EKEoaJpGc1Mz1pZSBsXHkJA4mA9XbcTn8BlK9L4EenV8nZMQQjibpjr3/J98\n8gmKorBjxw6OHTvGH/7wB958883zWjMaFBSEyWQiJiaGrKws5syZQ0NDQ/sd/63dcBoSEsKqVasc\nU7Fr164lLCyswycQQojzlX40k0eeeYuaihruD1QY4t76B/EmezAbwz0wZR+nvrQIi8VOMwZ8Gkrx\nTRiGpmkUVVvJV+3EuNm4dZY8klQIITrqn//8p+Pft912G88888x5BVM4G06XLl3KmDFjWLJkCQCN\njY0d7t9uOH3uuef4y1/+wltvvYWmaYwaNeq8pmaFEOJ8nMzP5+4/vYbW4MKvwkJINLY+8u5gUCBb\n3XWMvmUKjRVVnNq+m6kLk2iuq+fkV0X4Bnjz4TsbGRA2mOunzsTH28eJlQghxPnrDhenn3/+ebZs\n2cLgwYOZNm0aGzZs4Omnn+5wf0Xrotfoz5ypc/YQRAcEBnrK16qL6Axfq4aGBube+Qdqiut5oGcI\nicYix2tb7QbWhQaQfOtMjG5magqKKducQs/YEJqrqggP9SHjWAlx4cO4+5Y7nFjFldEZvl6iY+Rr\n1XUEBnb8KUaXy9hPtl32c+xYmHhZj3/nnXeyYsWKC+7f7szpV199xdtvv01NTY2jTVEUUlJSLvik\nQghxLm/8z/vUV/bhVyFH2gTTTS3BrNFV0cNwdgup+rIz5KVs4u/PzmPDZ3sZc/10tqccxt3LnQUz\n5jpr+EIIcdHULjll2FZzczNFRUWEhoZeUP92w+mLL77IkiVLzmtnfyGEuBBWi477/PNI8mjdx3Sz\nJYxV5YU89vd5ePl7cyL9BAe3HCLCQ8ebr3yGX0gAW745gFeADyNjY/H3lxughBDCmSorK5k0aRL+\n/v64uLgA5zex2W44jYyMJCEhAZ1Od3EjFUKIn1FbU8NMezGeHuWOtk31cGhCIFNj+5Hy9QEiontw\npqCUgEBPhvQLwW63883WPBaMG0dPr74MGDnYiRUIIcTF65qLLdtatmwZcDaQXsjq0XbD6V133cVt\nt93GyJEj0ev1jvYHH3zwvE8mhBD/V0VFOY+/toLRFWWMbWkNpjtUA1X/NZ9BIYEAlJ/IxeYfQmNO\nIYMGBBPZK5SvP93JjLHTmTN1prOGL4QQ4v8IDw9n/fr15OTkcN999/Htt98yf/78DvdvN5y+8sor\n9O/fv00wFUKIi6VpGi+/v4aPth3kXjdTm2BaNKQXzJ9AWcpOPHsEoNrsVOaexlhZSniAGzXF5aRm\n5TNr9CISEkY4sQohhLi0usPM6ZIlSygpKSEjI4O7776bjz/+mMzMTB577LEO9W83nNrtdl544YWL\nHqgQQvzYsn+uYc1nW7i/bxTjS7Mc7ammIFrGDMTXaMCvhz+ndh+kOjePKcm98XVzIcDTTFVFPeH9\nZkgwFUKITmjbtm2sW7eOhQsX4unpycqVK5k7d26Hw2m7C0knTJjA6tWrycvLo6ioyPEhhBAXqqKi\ngpWrNvIrN6VNME3xj+H95gZcPD0AaK6uxV+tZ/61oyjLrcXs58uZRggMTGD48Mu7FYoQQjiDpl3+\nj8vt/15tt1gs53UFvt2Z0y+//BKAlStXtmlPTU3t8EmEEOLH1q5dx53+NpJNdkdbSsgAVpZXMvPG\nURzbvAuzpzsBZpWo2Ai2fnyIF377F+rqajGb3TCZTE4cvRBCiJ8zY8YMHnnkEWpqali1ahWfffYZ\ns2fP7nD/dsOphFAhxKWSm5vH35a+x5C80yR5KY72FJs3K45X06uPhdB+sZzJyqGsuIxNRb1RtXru\nTBqETqfDW574JITo5rRusNHpvffey9atWwkNDaW4uJiHH36YiRMndri/7A8lhLgiDqUd5f89vpLB\nhUUkeVgd7ZvqfVh1WsVbKWT0oulUFRRjs9loLLPja2xgci+Vu26a58SRCyGEOF8tLS1YLBY0TTvv\nq13tzpwKIcTFenPNOj76fC+36etIcm1ytG9uDOXdKl/cehwmqrcXmV+nQFMzo/oHYff35o6b78No\nNDpx5EIIcWV1h7v1Fy9ezKFDh5g9ezZ2u53XXnuN9PR07r///g71l3AqhLisnn75Tb46UME9+iqS\nXNoG01U10SjKFh54bBaRvaNQVZWj3+3gFzeN4pWXPpdgKoQQXdCmTZv44osvHD/Db7rpJubNm3fp\nwmlOTg4ffPABjY2NaJqG3W6nsLCQ999//+JGLoTo9nbu2c/GI3ruc7OQSGswTbG48V5TFaGDdQye\ntwhLSxWN9Y001TfhGuBH+qGTmN1dnThyIYRwju4wc+rv709dXR1+fn4AWK1WfH19O9y/3XD6yCOP\nMGXKFPbv38+CBQvYsmULvXr1uvARCyGuCjabjf2HMrjTkE8iBY72zU12cm4Yy/VD+5x9X4uFtK+2\nYmppwNffi/yMk+yuttDbN8BZQxdCCHERvLy8uOaaa5g8eTJ6vZ6tW7fi7+/v2Oe0vf3z2w2nmqbx\n8MMPY7Va6d+/P4sWLeLGG2+8NKMXQnRLX32zmX8s+4r5SiWJXq03P6VafGic6Ikb9cDZny/1+3cz\nuG8g4dFBBIcFEt0njNeW72DetJudNXwhhHCabnCzPtOmTWPatGkoytldWQYOHIiiKGia5mj7Oe2G\nU7PZjMViITo6mqNHjzJ8+HAsFsvFj1wI0S1ZLBZe/cd6rnW1kfyjYLpF78vmEB2v3z+Fwvxy9qTt\npqGmngkDgxg4rBdbUw4THBaITqfDrNkICJCZUyGE6IoWLlxIfX09NTU1jjZFUQgNDe1Q/3bD6TXX\nXMN9993HX//6V2644Qa2bt1KcHDwhY9YCNFtZZ7I4cGXVnCDSx0TfxRMN6uubLnnFnzTNqGqKmER\nASyICOBY+kn8AryxWm3Y/z1dkJF+Cn29hpubu7PKEEIIp+kOa05ffPFFPvroI7y9vR1tiqKQkpLS\nof7thtNbb72V+fPn4+HhwerVqzly5Ajjxo278BELIbolTdN4+p213OTpSrLWGky/qzHzZZgrhk/X\ncO30CL79dAfDRvej4kwN2ZmniR8dx2uvfUNdk5Ws4hYslVb+eO9/ObESIYQQF2Pjxo1s3boVd/cL\nm2T4yXC6Zs0aFi1axBtvvPEfr2VlZfHggw9e0AmFEN1PRmYWjz7/d66jmWQXm6M9tdnIxuSh+MWG\nYigvxOAKMycM5FR2MXlZpxk5ph9/W7IO4+3/ha2+jrpDh3jh/kcxGGSXOyHE1ak7zJzGxcXR0tJy\n6cPpD35YvKr96L9WRxazCiGuDidPnub+/17FHd4ejDPXO9pTPXvxWW8vIpJHAVCVcYjmKF+MJgO9\n+0dQWlxBcUE5Nu8AonNy8NTgzl/cKcFUCCG6uHnz5jF9+nR69+6NXq8HzmbH9957r0P9f/K3wKJF\niwB46KGHLsEwhRDdkaZpvPDaKu7w1hhnLnG0p9oMfOxqJXrq2SVA9qZGrKXF9IyMBSA7K58jaScp\n0bxwD+rJk9fKDiBCCAHdY+b0+eef5/HHHyckJMTRdj4Tmz8ZTuPi4tq+0WBAp9NhsVjw8PBg3759\nFzBcIUR3UVFZyRN/W87IinzGmVvXmG6q9+M9g4UYfRX1+3eC0UTT8Qwe/fU0isuqyFy/j80bD8PA\nsXha7Tw6daYTqxBCCHGpeXp6Mn/+/Avu/5Ph9NixYwA8+eSTJCQkMHfuXBRF4dtvv2Xr1q0XfEIh\nRNfX2NjAIy+/z/jaBpJcfhRMG/xYrnphVup47Kl5HEvLxWKx4TEsgTOF5fQd1psdG4qZPW8UxmYf\nrpm6yIlVCCFE56Opzh7BxUtISOChhx4iOTnZsVRLUZQOB1Zde29IS0tj3rx56HQ6FEVh+vTppKen\nX9yohRBd2qbvdzK+ppyk5lOOtlQliOX+g1D6jMVssqIoCv2GxDJkRF9cXIwc236Q1A+/w6BoDEsc\niMGod14BQgghLpvGxkbc3d05cOAAe/bsYffu3ezevbvD/Tu0Cf/atWuZNWsWqqry2WefndfzUYUQ\n3cuR9AxaPv6MJLXO0ZaqerPKZxiY/dCV7sEnSCXl4y1MWphMU0MTVSfzcXVzJ3nOGLx9PTlxOJ/I\nHgOdWIUQQnROWjdYdLp48WIAqqur8fHxOe/+7c6cLlmyhO+++45x48aRnJzMzp07eemll85/pEKI\nLk3TNJ5+Zgm7/7KEgT8Kpil2b74JC2JsYgvxvXKJH2Fg6kO3ovaL55Ol67Hm5dMrKhhNC+FMmkbW\n5gqi3eMZGDfEidUIIYS4XDIzM5kxYwbz5s2jtLSUKVOmcOTIkQ73b3fmNDw8nKVLl17UIIUQXZvd\nbmfiwnv4hdmbJK/Wv+pT6wNZ1VjBgkevwdXLE4CivfsB8Ajwo9yvB6cqW9i8NZO//tef8fDwcMr4\nhRCiq+gGE6f85S9/4Y033uC3v/0twcHBPP300zz99NOsXbu2Q/3bnTndunUrCxcuZPLkyUyaNIlJ\nkyYxefLkix64EKLr+J+16/mFuwvJHlWOtpRqF1ZUBGMLjiP7+70A1JzOx9XNxfEek8lAVZPC/Qtu\nlWAqhBBXiebmZnr16uX4PDExEYvF0uH+7c6cPvvsszz22GP06tVLNt8X4ipks1oJ2rGVoW5NjrbU\n+kCWlVVDZCO6oJ5YT24mZ80ZZibGktXSQun+Q9QVlxCEO7NGXkN0ZIwTKxBCiK6jO8yc+vj4kJmZ\n6fh8/fr1eHt7d7h/u+HUz8+PiRMnXtjohBBdmt1m46vH/sjQhtYZ09Q6X5ZVWtGGDEXv4Ulv9TBP\nL/kl1ZW1HPv+ML+/fTK1tY18+7mRObPuQKdr9wKNEEKIbmDdunUsWLCAp556it///vdkZ2eTkJBA\nVFQUL7/8coeP0244TUhI4IUXXiApKQkXl9bLdSNGjLiwkQshugRNVdn17J/pW33G0bbFzZcPvd0Z\nNCsca0017j3MDFW8aWpoJutwLpVNNh56YDULZs9n9szbJZgKIcR5UrvwzOm7777LggULiIqKYs2a\nNTQ0NKCqKp6enud1nHbDaVpaGgAZGRlt2levXn1eJxJCdB2aqlK4bCmBBfmOtm1RcXwf5UfymHgA\nivfux7WpmgHxPfjq/W+YfN1EvP282O51iJjY/o7nKQshhLg6ubu7X1C/dsOphFAhri7FRcUULn8H\nr7xcR9v2mIF8NHwyXvmtjy22lpVw57ze9IsLZXBCL5a/9Q1JM0czbtZQ0jbtJbRHmDOGL4QQXVpX\nXnOanZ3NpEmTzvmaoiikpKR06DjthtN9+/axbNkympqaUFUVVVUpLi4mNTX1/EYshOj0tu/cR/Y7\n/2SMrrq1LWYgHw6fjK2mAqpKaaqooOrIESb3MdMvLhQ4+0MnrGcoB/aeYPKs4aDJzZNCCHG1iYqK\n4u23377oBwm0uyDs8ccfZ8qUKdjtdm699VaioqLOayupw4cPc9tttwGQl5fHTTfdxC233MLTTz/t\nGPxHH33Etddey4033sjmzZsvrBIhxEXR7HbK/vmvNsE01ebOO1ZXavfvQd3xDUOizARV5OBXV0j+\niXxsNjsAuSeK0Ht44NsjgE0fHmD8mKnOKkMIIbo0Tb38H5eL0WgkLCyM8PDwc350VLszp66urlx3\n3XUUFhbi5eXFs88+y8KFCzt08HfeeYf169c71hy88MILPProo4wYMYKnnnqKlJQUhgwZwurVq/nk\nk09oaWnhpptuYuzYsZhMpg4XIYS4ONk5uXz1X0sZ0FLpaNtMFMvtZrQew9EaazAZCnAxu0JzI8Gh\nAfgabLz8l48YOLIfLj7exAzuw94N+/jlwv+H2Wx2YjVCCNF1deXL+vHx8ZfkOO3OnLq6ulJdXU3P\nnj05fPgwiqLQ1NTUXjfg7PTuG2+84ZghzcjIcNzln5yczI4dO0hPTyc+Ph6j0YiHhwdRUVFkZWVd\nRElCiPNhaWnm4JK/E1tT6mjbTBQrLJFoxiooPoyhuQAtOg4MBo7kN+GitmA0GbjpkUVkZRTQUGEh\nI+UYyQOmSDAVQoir1JNPPnlJjtPuzOntt9/Ob37zG9544w2uvfZa1q9fz8CBAzt08GnTplFQUOD4\n/MdrENzd3amrq6O+vr7NFgPu7u7U19efTw1CiAtQXV3NyjVf0jdzH0NsrfuYbrIFsKKyCLfQaiwT\nrkUxn/3+9D6RyqkijYBps2jKSKWxsIR4o4FBw+K4ZuRtbbaaE0IIcWG68szppdJuOJ05cybTp09H\np9Oxbt06Tp06RVxc3AWd7Md7HtbX1+Pl5YWHhwcNDQ2O9oaGBry8vNo9VmDg+e2ZJZxHvladT3Nz\nM/f9/l1GVZyhF20v5a/S9SMiJJUbnlzA9tR0iooNNBYX4hvijcvI8SiKQm1dM3G9IrDZbGh1esLD\nA5xYzdVLvre6DvlaCdFxPxtOU1NT6dWrF5GRkXz33XesXbuW/v3706dPnwvaXLtfv37s2bOHkSNH\nsnXrVsaMGcPgwYN59dVXsVgstLS0kJOTQ+/evds91pkzded9fnHlBQZ6yteqk6msquSe3zzPLFsT\niebWPwxTGw18oNOICdrHb/98Ax+t+oqwiFAiPKwU2jQYOQqdXk/t7u341jbiqsaSv62KeZNvlq+x\nE8j3VtchX6uuozP8EXGxd7p3Bz8ZTpcvX86GDRt48cUXOXbsGL/97W/505/+xIkTJ3jxxRd5/PHH\nO3wSRTm7rcwf/vAHnnjiCaxWK7GxscyYMQNFUfjFL37BzTffjKqqPProo3IzlBCX0T2//SuzMZFo\nLne0bW4M4f06HYkPDcazhy8p3x5k3k3jyTlyimGJg1BVlW2bD7N541HmjZ/OTbc/5MQKhBBCdGc/\nGU4//fRTPvzwQ9zc3Hj55ZeZPHky119/PZqmMXPmzA6fIDw8nDVr1gAQHR19zk39r7/+eq6//voL\nGL4QoqM0TePPf3uNWS2VJLq23tS4uTGU9+ri0FDI+jabxIcmUVRtpb62kcwjedTW1OPuaabwyCmW\nPfkiHh7On1kQQojuSiZOf+ZufZ1Oh5ubGwC7d+8mMTERaJ0FFUJ0Lb977q9EHztB0o+CaWq9hyOY\nAmh2BU3TaK6r45s1KZi9PWjGgEtAIFPumst3O7511vCFEEJcJX5y5lSv11NTU0NTUxOZmZmOcFpY\nWIjRaLxiAxRCXDyrxUL/rEzGutgdbakNrqywBqK3N6DTe6Da8vEJtXPm+624NlSSuGgWPsH+ABxM\n3UtQeDB2nc1ZJQghxFVBZk5/Jpzee++9LFiwAKvVynXXXUdQUBBffvklr7zyCg8++OCVHKMQCAIc\nJgAAIABJREFU4iJoqkre0jcZ96NgurkxlFUVNugzGFvVSQy1R5g4yYXw2EBOpB1nVNIARzAFCIkJ\nJf/4acJcQ51RghBCiKvIT4bTGTNmMGzYMKqqqhxbR7m7u/Pcc88xatSoKzZAIcSF01SVbU89TnBx\nsaOtdY3pLoKNu/AKauC+J8YSN/Dso+X2hnpRW9NIc2MTrm5nN9QvOlFAjFs0k6ZNcUodQghxtVAv\n4+NFu4qf3UoqODiY4OBgx+fjx4+/7AMSQlwab364Do+vNzBa33opPqXRhVVVBlTrPuwB7hSNuBFd\nyU5Ki8sc4VRvMODr6UbZgYM0YqKqrJ7p8TMYNjDBWaUIIYS4irS7Cb8QoutZuWYtpq9SGW1sDabf\n1Xiz3OaOMSERrTgdVV+HHig0RpCTsYnxU+Opqa4n5Zs07rzuflxsuZhdvRk1fbzcCCmEEFeKrDmV\ncCpEd1NXW4v+i42Mc212tH1X483SsiB0hnwANEstTD27JZxXzUmm/GI021MO8s2GA9x844P06zuI\nfn0HOWX8Qgghrm4SToXoRjRV5eALzzP6x8G02pOlZ4JArUZvCkDL/g5/3wa0vO24Y2HWECNhUUEc\nOnSKyclzSE4Y6cQKhBDiKqfK1On5P4NUCNEpaapK9j9ep8eZEkdbal0gK0pATx6uvsGYvAcwZKiZ\n6x69lplj/Xjn0QHYK8+wfOl3tDSYmTvlGidWIIQQQsjMqRDdgqaqlK5cjnb4kKMttc7E8nIbuFhx\nDZyIouiwNaczaPpoXD3d0cfGkHUii9CIADxrdDx45++orm7+mbMIIYS47GSjUwmnQnR1efkFHP+f\nt4gqK3C0bW3xZ0eEDf9e7pT5j8d6IhdN0VBDe2NtaQGgPPM4VJ1m9KRB7Nme/++Ha0g4FUII4VwS\nToXowioqKtj5yuvE15U52lIbTXzlYmNUQjihOne+bQpES4oEwJy9g6acIjIOHcZfb8E72o+q6iaq\na0zOKkEIIcSPKLLmVMKpEF3V3sNp5Lz9NvEt9Y62FNWD5RYX9FV92JeSx9hrXEio3svJcjfUumpM\ndfkc3F7F/Km98XD1IDuvko376nj5od87sRIhhBCilYRTIbqgosJCMt5+hzE/Dqb+fVnRcwKapmHb\ntJayYn8CQgPQ7CX4NGSxaFE/ntofgV2v4wtVT+8jmQwZkMiDt0zCbHZzYjVCCCEcZOJUwqkQXY2m\nqux55a+MaalztKUonmeDqaKgKApqYCjUn+bornpcTUZ694tkV1YN+uzTRPWNY6irG3f89xNOrEII\nIYQ4NwmnQnQhdpuNTU8/Qf+aSkfb9piBLD9RggY4nuNUX8PQSX5MvHUapbkFHP1yG4kJ01j35Cx0\nOtlBTgghOi1ZcyrhVIiuQrXbSfnjH4iuLHe0bY8ZyJqESbg0baBl7xeoHkEoddXobJVMWrQAgOCY\ncFxGjmP+tDnOGroQQgjRYRJOhegCqquq2PjYHxlsa3K0pbaorEg7jqGiGr8p01CMLlSseRe9i47+\nMQZcPc6uI9U0DWzyl7gQQnQJMnMq4VSIzu7jz76k5n+/INH1R8FU78eKmETUM6ex5JVR/vUWdO7e\n9AgN5pZ7xpJ3NIcjm/cS1DOchpxyrk+a78QKhBBCdBWqqvL0009z/PhxjEYjzz33HJGRkVd0DBJO\nhejENFWlYd0XJLo2OtpS9Z6sjL0GFAWdhz9q8y5sdXqU0IGE+aZh9nQnsn8MHidU4rz7EDY3HKNR\n9jEVQoguwclPiNq4cSNWq5U1a9Zw+PBhFi9ezJtvvnlFxyB3RgjRSf3wSNLRhtZgusnqzXJTGJqi\ntL5Rb8DQWEpQ0QYmzhmMpbmFMztPMmX8FKKjYySYCiGE6LADBw6QlJQEwJAhQzhy5MgVH4PMnArR\nCWmqyoEXX8Az54SjbbM1gpV1QaBlojX1QzH7oNVVYG7I57Hf9KOhvo7Pnl/KiITJ3HfrnRgM8u0t\nhBBdjurc09fX1+Ph4eH4XK/Xo6rqFd3pRX57CdHJ2G021v/61wxoaXC0pSruLDf5oMa44Gc14l3z\nLVWnVXq4W3ngqQn0HRgBwJnCau69RYKpEEKIC+Ph4UFDQ+vvnysdTEHCqRCdimq38/Ujv2sTTL8P\n68VqlwA0/6GYy9LonziFltO5jB4/hrqsYxw8mEPfgRHs35mBt5cXer3eiRUIIYS4GIqT15zGx8ez\nadMmZs6cyaFDh+jbt+8VH4OEUyE6CU1VyXnjNXo3tW6wv7kxlNUN7rjqq4hQDhE2MQqP4EAqSgsA\n8OwbR9oHhwjesBudYqBnWDzKj9ejCiGEEOdh6tSpbN++nUWLFgHwwgsvXPExSDgVohP44eYnLT3N\n0ba5MZR3a/uic88iOFBPzLjx6IxG8jdtISp+gON9dhd31MZIksZMIDi4hzOGL4QQ4lJx8j6niqLw\n5z//2aljkHAqhJP9EExrd253tG1uDOLd2j6o2kGGJAQxdFYyufvSaGlowqOmCGtdJHZvT/I2fc/p\ntGYikuIkmAohhOgWJJwK4UTnCqZ73M2kjY9hUHMDHqEJlB9Op+JIJt5uBhpLSvGP9OP7Tz6npsaN\nOmUUOlNftuzOZMyIoU6sRAghxCUhT4iScCqEs6h2O6eXvonlwH5H215/X/YM603MmHhHm6Uwnwdn\nR6JpGv/zZgZ7MyuprQ2kwSURHaBpKmYXWWcqhBCie5BN+IVwAktLMxt++/s2wfRgZDh7b70ZS1NL\nm/d60oLZzYWszEIMri48NGcBt86agLs9H6WljKEB+dx105wrXYIQQojLQdMu/0cnJzOnQlxhmqqy\n+9nn6FtX7mjbrA9i97AheOn12Lz8yT94BO+QIEr37CXUXs0XXx+mR2QwN949g11fH+GXN97P3KmV\n1NbWEh4eLvuaCiGE6DbkN5oQV9APa0yDi/MdbamGMJYV1qF7czuu3ruIu2sy5WXFhOYeYvaE3hzd\nmcbw8a3rSQ0uCqqq4ufnh5+fnzPKEEIIcbk4+QlRnYFc1hfiCjnXzU+pLj1ZdrwIgzUaoyEBe8NQ\n0v/6DX5lJ6hw68HuGk/ybR5kHD4JgNVqw1JruOJP6xBCCCGuFJk5FeIKUO129i1+Hp+TOY62LRYd\ny06dRKeEozcGtr5ZiaVFqSR88BAAvMJC+WbDZ2zfmkVC7BDmT7/tSg9fCCHEldIF1oRebjL9IsRl\npqkqW/78VJtguhk33uk5B51LCIqiQ1Mtjtf0SjnBnhpa2i5qso4BUN5iJmn4Aq6ZsQiTyXTFaxBC\nCCGuFJk5FeIy+uFSflhRgaMtJbA3y1s80Xn4o7mbMShR2BuPgs4V1FpmLurBrFsSATh2OIeM9Axu\nHZPIlFEjnVWGEEKIK0X2OZWZUyEul3OtMU0JHcDygTNQzcazDf0GYecwAUGu9IptYfJ0lXGzBzve\n33tAND1rmpk6dvyVHr4QQgjhFDJzKsRloKkqxSuWUb9rh6MtxTea5X0noSkKSlMd+ACuHoT2snHT\ngkCKXELwCOvBjj2HGdw3iLCYEHIOZhMZEu68QoQQQlxRisycSjgV4lLTVJVDL72Ie3aWoy21PpAV\neRqqbRNuQR4E9PKkIetzzI1n6NPThcwyG5GJZ0No5OgEtn3yJX77MgmIjUIfpvJ5yhfMnSwb7Qsh\nhOj+JJwKcQlpqkrJymX/EUxXVvZEURQ8848TFuGHVlbNjXcMpzyvAKuqp7iqmRPf7yFmdDx6owGP\n0GD8eoaiNDfhHeLP6ZPHnFiVEEKIK0YmTiWcCnGpaKpKwdtv0bRvj6MttcGNlZU90VAAUC0awWF+\nDBgVQUTvCA5uP8KghbMJ0umwWawc33kAzwA/vAN98QkJomDfYcIBRX5YCSGEuEpIOBXiEtBUlT1/\n+Qu++ScdbanGcJYbvdHsFej0AajWM7TYvcnZUYqhv57KvAK8Q4NR/r2hvsFkxFJbh2dsOAGRIWTv\nOEjPvpGcOVFAH7+ezipNCCHElSRrTuVufSEulqaqZLz6cptgukkfzfLyGjQ3A5quEGwFGEzuGN16\nUVtswMXTg8LsAtTmptbjaBrBJm/cyyw0781jfPAgAktMjAuIZ+KYic4oTQghhLjiZOZUiIugqSp7\nFz+HT27rBvubDD1ZZYpH8T2IfehQdM3NGCta77g3uGgU5BbiFxZF7fEc0ivrcPP3xws37pxzM/5+\nfs4oRQghRGcgT4iScCrEhfphH9M2wVQfxSpTPKq1Gq2lDEpOoPbrheX73RhsPVB0FZh96hkZMwRP\nYzWLXrr57LE0je8+PSXBVAghrnZyWV/CqRAXQlNVipa9TcOeXY62zaqet5trwLoHTatHi58ClhYC\nz+zCf24kehcTbmF9sG/bzr033M6W3e86+iqKgqu7MyoRQgghOhcJp0KcJ01VOfH31yD9sKNti2Ig\nfVwfhmsupOc20tz/GhRLEyHHPiO4XyTRY0bQVFVDwdHjBHm5UVtXS9HpalRVRafTYbPZaW6Qb0ch\nhLjqqc4egPPJb0MhzsMPl/J/HExTQgewrMWER1olNz8wjIQJBrIO7Kf09GmUQDMxSWNQFAWPoAD8\ny8sxWxo4dGIdY6dF86+Vm/HzCcCk92dy8vVOrEwIIYToHORufSE66IdgWrtzu6MtJXTA2UeSurjS\nEDqBb/75PdbmZswmiB4Tj97kgqIojvcbXM1kZxxj9PhYQsL9ufGOSZhc3Zg59RZcXV2dUZYQQohO\nRNG0y/7R2Uk4FaIDzhlM/WNY3ncSqqUJ6hrQ6XTUm3zY/uGXmHvF4R0dhd7FhYL9Z2dZbU3NlOXk\n4dojgF27W2+i0huU/zifEEIIcbWSy/pCtONcwfR77wBWmcyoOz4FlyD0IcPQl2cQGVJPzzA/msrO\nYOrpTmBsFLl70mlpsaPp9bg01zFwQCjZOWcYPSqW8tJadDa5Q18IIcS/yd36Ek6F+DnnCqabXTzI\nHujPnYOiOHm8mKM7Mwjxht6JYYTEDiP/m29R0nZQdngPI5MGMP/eMWzflU35yRIG9vGlokkjwrs/\nO7+uxNM9gCkTkp1YoRBCCNG5SDgV4iecK5juNLuzQW/lVwvHAxDVO5z40b3Jy68kJDaUuvJKggPd\n8Q/3pEVnYNCwGABmzxpG6idbcPX2JkT1YeaUa5xSkxBCiE6uC6wJvdwknApxDpqqkr/0TZr373O0\nZfXvQ+6cqfQuO8OB79OITxoMgK3FQt2xTEpzC1EqS3n4t9eQsT0Dg8VOTWUt3n5eZKfnkpfdyIKk\nuYT0CHVWWUIIIUSnJzdECfF/aKrKwcUvtAmm+/192TdnKgWHMjmdVcCBfSdpbmyitryazO++x8NV\nT7neh0jvUIryylBcjQwbFI2utILTu46wfcdJziTNZM+xY06sTAghRKenXoGPTk5mToX4EU1Vyfjb\nK3jknnC0bfP0JjU0EGX3IUpce6KLDEANGMBH//iI6WPC6Dk0Ds8gfyrXbSNm6gBKSqo5sOM46foC\nGgJ9qdOZqRgxG53JRMHpU84rTgghhOgCJJwK8W+aqlKychnGjCOOth1e3qx29UFr9kTNrcA8dgQA\nOjd3Kn1j2XeygrETYtj+0bfc/sAcfAO8AIjqHcarb+3H1cMde/wIdIC9rpYwD09nlCaEEKKrkLv1\nJZwKAa03P9Xt3OFo22wNY9mpCuxDQ6FFw0VtuwrG6GIkcvYctn6+gQlDIvHxbw2ePr4eNHn7MNnb\nl6zMI1gUHX3MZubNnX/FahJCCCG6Igmn4qqnqSpH/roEl6xMR9tmawTvWgag6U9Ar7Ozpc3Hd6Pf\nlYIpph+UnsJfV82pnfvwCevB9KnRrP9iD+PnjgJgw9dHaXHxIXn4SH4RGemUuoQQQnRBcre+hFNx\ndfthjek5gykK6K2tb46JR92yjFCtkIh58zG6uWFtaKA29Vv8A4ZwIquCPRmfo7p5ccbqyQ39g4mW\nYCqEEEKcFwmn4qqlqSon/v5amzWmm31C+FeFCtpJTO42fHu5UdxYi+LmhSE/nVvmxZFe64rRzQ0A\no7s7rm5u/OmZdZSNmIJbYAD25mYGZx7nlunTnVWaEEKIrkrWnEo4FVcnTVUpXLYU0g872rZEDuRD\nTy8G3T4C1WpFZzRia2yk5oPPcHd34xfX9GLosD4cWrrF0Ue12ym0uuI5aTq16YfRbFbcQ0JoMMq3\nlhBCCHEh5DeouOr8cPNT457djrYtXoG852JGbWikubIKVz9fAOpyson21/jNg2Nx8zCjqir9fO2c\nSt2Ii3cQBacL8Jw0A53BgM+wBKr378YtOBh/+cNXCCHEBVDk94eEU3F1OdcjSbf6hPJugy9aYSOK\neyMlGz7DO6YntuYWrKez6R9mZvfG/YT17MGZ/FJmXjMKk4uB07vhX5jQmUyOY5nq6og+doK7Z8td\n+UIIIcSFkHAqrhrnCqab9O68ezwARQsEwG44wm2vzMTD14vi46c4WH6cgyV+JOjLGT4yhuHDR6Mo\nCvnZpYSGDGZQaQVpdbXoPb3Q5ebw60nTSRg4yFklCiGE6OpkzamEU3F10FSVtJdexJyd5WjbEjmQ\nFbmVGP4dTAFoDudYyg4CwwM4uT8Tf58B3DjNh/gRPdnw6R7OFFfS0mjHU4lg9IQ4esf25dvt31Ne\nVMDIocPoHR3jhOqEEEKI7kPCqej2NFVl02N/JLyixNG2JXIg7w2eBI3b0c5YUXRGAIy6CsxaE8Xp\nWTxy15/IPZlF/8E2FEVhzoJRNDY0sz+1jmlT5gGgKArTE5OdUpcQQohuSGZO0bX/FiG6Lk1VSV/y\nUptgulXxYY2rGU1R0CeMQDHtwsWYh0l/lPm3BxI7fBA6UyAhPcLo22cgh/cWOPoW59cQFd7XGaUI\nIYQQVwWZORXd1g9rTF1PHHO0bTL0ZKUSx0j/Aqy1u7E3NVI31JOICB31p6sIDQjl+MHjjB91do/S\nAP8gQipG8v2XB9AZwMctmkEJg51VkhBCiO5OJk4lnIru6Zw3Pxl6ssoUj85yGk21MWbqUPZ/nkrv\n+VNx9/eltriUw9u3EhXQi4mjkxz9+vYZSN8+A51RhhBCCHHVkXAquh1NVSla/g4Nu3c62na5efGB\nzQ1X7RhRYwKoLC4k9V9fUl3UQHlVFn6hbvSbMBhz7DDun3uLE0cvhBDiqqbJ1KmEU9GtaKrKsVdf\nQZ/Z+kjSLRaV1Fgvkq+dgKIoVOaeotJ3OEUHTlHTNAil0EzuqVpaGvYypIePE0cvhBBCCLkhSnQb\nmqqS99Y/2gTTzQ2e/KulGaU4l5AT28he/yWVjRrmqBgayzUUg/lsX6MXpw6WMX3IGGcNXwghhDh7\nt/7l/ujkZOZUdAuaqnLyzb9jO3TQ0ba5MZT36uOIn1ZOn9GR1B05iEnRo4/pDYBOr7Y5hpvWQq/o\n2Cs6biGEEEK0JeFUdHmaqnLg+efwPJXjaNvc5M97dXGoaiNegW4ERIdxJDuP6xb24rttW2jUudLD\ns4yqCiv19kB8jcX4+tppamri2Q/WktMMPjqVX09Nol+sbKwvhBDiCun8E5uXnYRT0aWdvZT/Zptg\nuj1mIO/bXbFsz8LVq4IBk34BgMFkxNvPm0XXJgBweoAne3ZmYas5Sonijzkwgb9/uoHNPv1Q9HoK\ngCVfbWHFgxJOhRBCiCtFwqnosn7YLspyYJ+jbXvMQD4aMRmXlmbq63cT7KlDURTqK2spyTpJpofC\noORhWFusZBzJJ27OdEqyT3OwwBevoiOUBUeguOkdxytT9djtdvR6/bmGIIQQQlxacre+hFPRNZ1r\nH9Nt4b353xGT0RQFa34O4cpp/Ly82fbep9hbmkke15vC4/kcSW0h53AuPW+9GUWnoyinEHvZGYbH\nxWJVFXZamlFMrgBEGiWYCiGEEFeShFPR5ZwrmO7zDWR5QQ36nVvQqS309G7GPdwL/+YqnvzvRaxc\nm0JzTT2h0T1w13R49o/iu7XfoXl4U+QWS2hwM5OGDaVnRASWjz/leLkFH53Gw9fOcmKlQgghrjZK\nF7ib/nKTcCq6lHMF07SIULJuWsAku53m6loqd21Hb21C32cozQEB/OFvn6OpLfh4udPDbCUgxA/X\nUC9u8R3JwbIq4hSNWaPi6RUdDcAjN1zrpOqEEEIIIeFUdBmaqlK84h3qd7U++SnVHMD79S6EfbUJ\nNx9PWqx2WkrLCR0/HpvFSu7uE9iavJk00o+44f0ozT6Ni7mFTdtOUhfszSAXF+64ZqETqxJCCCF+\nRCZOJZyKrkFTVUpWLmsTTFPMQawYsABNUThhaSS45ADG5koaq2xYt6RRXqvD2nMymk7ji6+3ERUX\nRVBsBGuWridwzkI8jQaOlZRy+Gg6QwYMcmJ1QgghhPiBhFPR6f1wKb9u5w5HW1qQH+/U+KLftx69\nqwF8/WlqKKeutBqL73RqG/TYKvaC/hD6yKFU+o8lfXcWXj4ueIxORGc8+7++0deXM1UVzipNCCGE\naEvu1pfHl4rO7VxrTLdoer6JisTQ7IXefRxog9G32FDtLVjMgwGwF+3F6NobfZUJNXMHtNSTnZaD\nPa8FY1V96/HTMxk5OP6K1yWEEEKIc5OZU9FpnSuY7jC7scnHTPGufHReEwFQDGbslQp+Q3phS7Ni\nqTiGwXcoiqJHjxc0Kbie/paJ8ycxbeQ4qmpr2JZ1BFSNOZNm4+Xl5awShRBCiLbU9t/S3cnMqeiU\nNFWlaPk7bYLpJi2ct2rjMZoD6RHbo+37seNibyR6gA7F1oCitO5NqjO44RvuQ07fSF5L3YCftzf3\nzF7IPXOvJSS47XGEEEII4VwSTkWn88OMacPu1pufNhHJu7p4FBd/jmf5ENvfB0/7ETRrA1pdLhHe\nxYRYSvD3Vxg4zICpIf3ssTQVoz2NqDFDATDGD2LT/j1OqUsIIYRol6Zd/o9OTi7ri07lXJfyU/Hl\nPWUomqIAoGLC09+dax+OZvuqzwgNMhMbGkR0QD8mJc9BURTyThfw5aY9lJQW0TxuAu4hZ2dINbsd\nozzxSQghhDhvOTk53HjjjezYsQOTyXTZziPhVHQamqpyeumbtOzf52hLMQaywn8k5GZh8IhDU23o\nqnZSU9iP/IOHGT15CK6NOu6ae1ebY8X0jOLBnlFomsZrH62mSK9H52LCPTOHOTf88kqXJoQQQnRM\nJ53ZrK+v58UXX8TFxeWyn0su64tOQVNV8t76R9tgGjqAZcPnopbsRdX+P3t3Hh9Veff//3Vmzcwk\nk8m+k51ACAlbAsimcUEBFRQ36nYXW5fWu1bbX2m9XdreVb+9u9z3rfVuVVQQtWpB61ZFWQTZt4Qt\nhJ1A9m2SmclMZjnn90d0kBrrBlng83w85vEIZ845c11z5eg71znXdXkItGxH7TiAJSaNiI56clIj\n8bZ0UJZX+oXnVRSFH117E/Oi05ijs7Pg+n/rkwtLCCGEOFtomsaDDz7Ivffe2yf/D5WeU9HvPr2V\n79++LbxtReoIFhaUg6JA1nCMh8wokRYA9IEdXHNjOds37qO5rgOPp/Nfnl9RFEYVFZ/ROgghhBCn\nRT93nL722mssXrz4lG2pqanMmDGDYcOG9UkZFE0boP3HX6K52dXfRRBfQUJC1L9sq96eMV1hS2Rh\n2XXhZ0z1hzZjrm4gYBqG3l/Pd67SY9B1cd6Mieh0OvZXHGb53+vRmRIoyTYTnWhE0zQmjpjIkPTM\nM17Hs8WXtZUYWKS9Bg9pq8EjISGqv4tA3uzFX77Tt3TwjZu/1v6XXHIJSUlJAFRWVlJSUsILL7xw\nJooGSM+p6Ee9BtPUETyTUoy2fwvklEB7I4YjW8jPNpJs7yTgcmLR59Dt13C1u4iOi2boqBxef/0A\n+w96yRubTt7EbACWf/wBcyOvxuGI6a8qCiGEEF+POvD6DJcvXx7+uby8nIULF57Rz5NwKvpFr8HU\nGBW+la8pevQfv0R0rIWklAiGD7GRPSSOvRVBZs8aQ2SUheXvVxLMzsQRH4M7Ipb4HB0lUwrD5xtS\nmkfF7h2cP7m8P6oohBBCnHWUT+5qnkkSTkWf6y2Yrs4o5IXkAkJb38XqiCbCeQS92YevxkVDSMdH\nLV00OG3Mv2E8UXYrANMvHcVzz69he42BGkMpdu9B3B1uIqMjAWiva6EksbDXMgghhBAD0gB/2nLF\nihVn/DMknIo+1VswXZuYwRJrNIT8KI54Etx7iclK5MAeK2pnFiFdBD53Pd7ELl5ZV8+Io+3MuXQE\niqLQ1apns280+UoF6UleNrxZi14PUVF2CpOHMaxcwqkQQohBZGBn0z4h4VT0GU1VaXjuGVwb1oe3\nrcsp4rVxF2JRFDxb1xLrbSAm2kB7exehZis6XQQAij6F4+46Esadzw6nE/37e2mva0JvjmV010ou\nvL6Urg43eaMKADi85QDjCr94iikhhBBCDEwyz6noE5/2mH42mK6OTuKVcReGR+UbdDDmvFz0bie+\nliYUteuUc+g++VPK5HDw9roakiaUMfKaceQWOGitbQ4HU4DscXlU7q048xUTQgghTidVO/OvAU7C\nqTjjeruVvyp9BM8mDyfgbO3ZJxTE3FaDKejFq7eSOm4sQ2dko9PXooU8KMousi/tuUWvhkKkpMVh\nj3MAEJseD5pGR0t7+Pxtda0kJ6T0YS2FEEIIcTr0y239OXPmEBnZM2glIyOD22+/nQULFqDT6cjP\nz+ehhx7qk9Fg4szTQiHqn30G98aTPaZrkzJ5DiNaTDKu7ZsxdndiDXpIik+l/mAH3pgU/JoRk76b\n8fcV42lq5/AGH77aY3Q31+Nvaeb88SfnL80fM5ztr21iZ80O7MnRmIwm0syplFw4qj+qLIQQQnxj\nygAfENUX+jycdnd3A5wyeesdd9zBvffeS2lpKQ899BArVqzgoosu6uuiidNMU1Wq/+fxU4LpSreJ\nRe0xKI4OjJFHUT2N0NaFJ1DKoZZotJAXW14LyeVlqN0+mg9UkJQ7hG5rCvi95JUWYoykBfGpAAAg\nAElEQVQYwcaXlhJhtWCxW6nddIy7vnMXVquNYDCIoijo9fp+rLkQQgghvqk+v62/b98+vF4v8+fP\n55ZbbqGiooK9e/dSWtozeGXq1KmsX7/+S84iBrpPBz+1frQ2vG11VyrPt6WBPho8+QQPniDyin9D\ntQ3t2Qagi8B1oImObRWoqoavvZPUwzX84Dwz56cEcL27FP2GVVxQNoKI4woprQn82xXfxWq1AWAw\nGCSYCiGEGLy0PngNcH3ec2qxWJg/fz7XXHMNR48e5bbbbjvlfavVissly7wNZr2Nyl/dlcpi1zDQ\ntaIFPejMVhR7AgDKZ34Lg74qdIkjaKqMwrB9BTecn0NmrBunz0tSRjKXjMwnZUjPEmr7th0lLSUV\nk8nUp/UTQgghxJnT5+E0KyuLzMzM8M8Oh4Oqqqrw+x6PB7vd/qXnGQjr34rP00IhDjz+5D8F0zgW\nu4b1DBIM1qM3lRDqPoolOweAiAmFeN/8mFB3FEpCEoolDoCgrhhjKEhHx3GKphRyaN9x8kflh8+b\nPSKVxoM1jCwqQJwecl0NLtJeg4e0lfjKBsFo+jOtz8Pp0qVL2b9/Pw899BCNjY14PB4mTZrE5s2b\nKSsrY82aNUycOPFLz9PcLL2rA02vKz8l5fKcLRP1WBMaAeyhbnSBjZTOHUVl1R5CqhNbqJuRd06g\nbdcuDuw1h49VFAW3x0+k3o7H1YUjNor6402kZCQCcHRvHSWpF8rvwmmSkBAl3+UgIu01eEhbDR7y\nR8TA0OfhdO7cuSxYsIB58+ahKAqPPvooDoeDBx54gEAgQG5uLpdeemlfF0t8S70F03V2B0ssNnT5\nQ9EVFqGr+JAsq4WExGgKJo/AF/RiGzMqPDOD4nJibjvErrZYFL2RFOUYl19wKXW1Dbz74jJm3jiW\nY/tq2LvlINGR8eQkFZGSnNZfVRZCCCFOP+k47ftwajQa+f3vf/+57Z8dvS8Gl96C6YbMPN41a9gz\ns/E2VxFsaSQ+2YLDB0317URWVpFbnM/2lStp8pjxdqsM0bVy+12l/Nev32HC8CnMnj6T/31yGVv2\n2IB8mpsOcMdtlzJy2mh5zlQIIYQ4S8nypeJb6S2Yro1K5O3zZ6FVbaY4SeV4Qx2B2AgKcBLSVIw6\nlcNdEeh2HGH3xhP4Y/JBr6ct+wKWvPIxt98znXhfNuvXb2NLVQyKvufXdM/RNKqrTzB29Pj+qq4Q\nQghxZsk8pxJOxTfX6zOmgQyePZ6MtvgV7Bk24qePwrmvmiydk+6SMqKTk9COHqe+0U1jQwA1qRyj\n0YYW8hOqrsRdmEhCWixvLvoHjW3dwMkBUCgGdh3cC1zd53UVQgghRN+QcCq+kS8Kpov8I9AZFfya\nF1dNA5uWLEOxRhG0WBmW3DMFVFxWBp0HV3PiRDeKrWekvaI3QVBPlMHPB8vWUzJ3KgFfN8cPraG5\nqSegJqUcZHjJsL6vrBBCCNFXZLS+hFPx9fUWTFf5Y1gcGIGGQijohCgH+DqJnzELndFIoGJD+Fi/\npwtHdARpSTo63CfPa/A2YnTqMKckYzAaMBgN3PTQFFa+tB6dTkfhqGzGZsqSpEIIIcTZTMKp+Fp6\nC6YrFSMvJ9gJHK1E00WixdlQkkYS01iNzmgEwG91sOf9jzl6VMUTshNLB7MvS6fjg+3UOW3YIryM\nnVdKTEYSNW+/i3nPYdJH5GCx20hLimBY2lBKCorJy8rrr6oLIYQQZ550nEo4FV9db8F0U0ERrypm\nAp4QpZf4aKjpxBpjxeR8h8QCG65QCEWvxzZ0OFtWVqNmlqN1HKNdF8frK44xa1o8B2t9pEydhqLr\nWU03viAV3bFGOj0mCMFdc75PTExsf1VbCCGEEH1Iwqn4Sr4omL4x6SKsTQ10t/hJiq3hO985j/cX\nv8OoGWVYbBaee2oRkWnp+DxdKEoEWmcdtgwL5pxiVODDPR8xPDYUDqaaqmJW/aSkxTBz2rX9VFsh\nhBCin8hofQmn4sv1GkzzC3lj0kVoikKgrRV0MWxavRNn1R7SMxNJy0ln3QfbKJx1MVGpyQC4n3yT\n+u5mzDlTw+dx55SSoazn6KoP0Sw2Yg0Brpg1gsqP6vu8nkIIIYTofxJOxb+kqSoNzz2Da8P68LaV\nugxeONGGrWILIb8fr9OLrnkjeWlGCgpSOFbTypLfvYwxMYW04uTwcaOuLCX+H5XUdHnQWW0AGNsb\nibIk8J2ykRw8XoHZBpUf1TG17PI+r6sQQgjR72S0voRT8cU+7TH9bDBdpabzrFOHGhVPl2U49n1/\nIz1GT2a+iZDTSUu7h0PVtUydPR23GsDvdmOKjATAeeQYv7v3h/z5nffY3KhiVENcmZ3Cd6bPAaC4\naEy/1FMIIYQQA4eEU9GrXucx1YawiGI0qtF0IRRFx5zpQ7lk+kh2rNlB1fZuju6r5enfPsPLO96g\nqHgYmz/YQrvejL+jkzG5MTz83JMY4nP54cg8ppWOw2CQX0EhhBAiTDpOJZyKz/uiYPq8VoyGghbs\nhMRUYiteo/yRKwBoPNHC4QP1pI+9HLPZjK45QNAfZPwlZdRVHyYiHkafN4zqxhDbYoZzdP8hctJS\nSUlMZNEb/6AroHFxaRFFw4b2V7WFEEIIMQBIOBWn0FSV+mefwb3xM7fyQ8ksdGooplo0fwMTrs0j\nIS+NkH8Im1fvoKPVydoVlbjL5nI0Np+n3nqXO668mffXLmdN5Uc4kmNJzUnlgzfW09ZhhhhwpeSw\nafcu1lQeY4tuGIpOzwd/3cBj12kUDy/ox29ACCGE6D+KjNaXcCpO+rTH9LPBdKUazWJDGbp4DQJu\nzJYGciaVANBStY8tyzdjjLTw0P/cgaLA0y+voUaL5dbHfkeb3kysNZYxo4eTlB5Pat4Q1ry0EwBz\nSy32BDPbuuJQ7Pqe89myWL55t4RTIYQQ4hym6+8CiIGht1v56/Q6FrpdBP1NgIIWascR3YGz5gRt\n+w/SuXULdR4dd/xiHlHRNiLtNn5w61j2VFfSNHIyamk5LSMuZdmKY6iqitFsJCHgIvXoLm5OsjG2\neCRmrftkGTQVs74fKi+EEEIMFGofvAY46TkVvQbT9Ymp/CMvi9QjB+hq34Ul0s7Q88cQlTSS2pcX\nYdLD+hN64kZdgNF48tfIYNTjj4pDb4si5HLiO1RNl6eb6opDRJlM3HvF1RTkDQvvf21hFK9UHcen\ns1JibODfZt/cp3UXQgghxMAi4fQc11swXZlUyLPx+SSZujGgknbhFLKzEoiItuM6cQJ/l5cDkVlk\n3DCd+sojPP7fy8nMTwKDkc5DtRhDRgLuTjxVu9GNOA8UhaXbd3BPcfwpwRTgh/PmcMXx4zg7Ohhe\nMAuj0dTXX4EQQggxcMgzpxJOz2VfFEwX5p2Ppii4Dq2ky2lBd+QoPrseb2MDri3rqSu5lIRRpQCY\nlSo0Ryzx4ycAEDEkmzlVrfx15evoJs9FURQAvNmjOd55otdyDMnIYEhGxhmurRBCCCEGA3nm9Bz1\n6cpPnw2mKyJTw8GU9jo8LhW1aBY0NPK9whCse58Wj4bjk2AabK4nzlOD0ayn8eAxACITYol02Hj8\nB3dg8DhPfp6/G7tZekWFEEKIf0nTzvxrgJOe03NQr0uSuhVeSIsjVPkhmG1gsKDLvwBN0+h0+Xhk\n8Q6atFRq40cSs2kDNruNtFALebddA0Dz3mqMxxuwOSJJtkQxYlgBc3fv5a36A/h1RsZrTq6dc1N/\nVVkIIYQQg4SE03NMb0uSrg5lsEjLIFhVQeyNN+L7x6t4h16GFgrCnhW0DrkEV6iLwjw33qZ2hgUM\nTHFYOFZYGj5HQmEBx998j9KcQi6dcTUAd8+dw490furqWklKSg7f4hdCCCHEFxgEo+nPNAmn55Be\nV34KZbAoNBLFrEBjJ2VaFYYLc9i7+U06nUFaR16PzmQhCBw4toNJKUH+87t3sP/QAaob92NLTwHA\n1+EiELBQmDPilBAaFxeHqsrtfCGEEEJ8NRJOzxG9Dn7yRfGCbiQaCiHPMfQpkbTVNaBzOcmKhW3t\nehSTJbx/SDEyNDEWg8FAYcFwdh87RMWWSjyqxomWboKlF/O7bTt5NNpORmpaf1RTCCGEGNwGwTOh\nZ5oMiDoH9BpME4bzdOZY/B3r8bevI2htJeQYilOLRgt2kz0sizF5EegbqnrOEfAR3VzFTTOvAmDV\nxtW4VBfG9g4OK8mEiqeiKAquzALW79zZL/UUQgghxOAnPadnuS8Kpgsze8Kk5jkO1jyU9ga0oIGj\nx40UlaRjUFRmzh6LflsrTu8OrFE6Mi4fRWNzI3VN9ew3dxA9NovhY7NwLd/CQV8iuggLOmcr6akJ\n/VhjIYQQYvDSNHnoVMLpWay3YLpCiWZh6nhQFLTju6HuCDpbFHp7Plqom8Dx7XTGdnL1HTPYvOkA\nReVl4WPVkMru6j10BrqIHp0c3j5sdC7H3lqDOT6ZCxIcTBp7YZ/WUwghhBBnDwmnZ6leBz8ZHDwf\nOx32VqCpfmjeSVSkHZ89DwBFb0ZvTGVobhRR0Vbi4yM52tBMVHJPT2jboeNMyhzLwZpDNHm6MNus\nAHTVtfLkrTcTFxePwSC/UkIIIcQ3pclwfQmnZ6Neb+Xbklk2YiTGw9XorRCsP8TwUYm01/vxfeZY\ni1HjxAk/7/xtE03NTqobdhGflYFiNuOqc/LjKdeSm5XDkrf/Sp3OixLSGJtSQFJS8ucLIoQQQgjx\nNUk4Pcv02mMalcAzQ69AaT6CwWYh1NFOVqKPBFsk1lgvrYdWEoyfBN1O0qNqOUwyFTtcRGekkP+d\niQS7uzmwdgvWtGx8Pi8Wi5Wbr5iHpmkyd6kQQghxGmkyWl9G659Negumq1yRPFvvg+NbUGOz8Edm\nkRkbpHD6+Tjb3dTVthC67DIUNjE830lrQMe+xgLqtTIOVlto3HsYg9mMI95BnMuFxWINn1uCqRBC\nCCFON+k5PUv0viRpAs+1Z6Oq3dhte7HSQGZWLBEOE+kjC2jat58WLRX9/vU4ps8gs3YfVbpYFKXn\nb5agZQiN+/eTVJgDLhc/ueLa/qqeEEIIcU6Q0frSc3pW6G1J0lWhZBa26NFQUHQRFA1PI90eIDEj\nnuEXTwZF4XBtCG9eOd7hM/Ft2sLsiWWYPMdQfR0959VUVH8Xbbv2ktwdICoysr+qKIQQQohzhITT\nQa7XZ0zJZJG+DC3CDEBIPcyOTbtJKczHeaKO6pXr2f7q2zTnlqOYbSg6HW2JBfz475vwjJ+GGu1G\na95BXvd2spL1pGQlEnvpRJ5440VCoVD4cwKBQJ/XVwghhDiraeqZfw1wclt/EPuiYPo8JWiKgqZ3\noWpODPahBMjjxD4n0265kC5nB/uWf9zTq/rpga11uArG9/w7t4QUw2YuLonHMzIjfG5/RhwNDfWo\n6Pj1k8uoaddItsOC785g2NBcAKoOHGLVtl1EW8xcN/NiAEKhEEteeYuGZg/FhRlcdvHUvvmChBBC\nCDHoSDgdpHod/OSL5VmvCWxO1M4jEGXBZC0Ov3+ospnx7i5CgSCeRg9xnhW0lswGoxnF13nK+bsI\n4mltRQ2lodP3dLCrri5sNhuP/HkZO91ZYASnF/7nxQ/4v1/msmNPFfe/tpkWWxZa0M/Ow8+z8Df3\n8MgfnuPdrSYUnZl3N+6jo9PN9VfP6JPvSQghhBhMZJ5TCaeDUq/zmBozeLZVQSEKnAdRzI0owQT4\nzID67s4mFt+3Ap/bQEKMm98vnMPGjRWs2XiUdoOBlrbjBGMzULydTMgIosNNw9uriBg1DNXlYZQ1\nEYcjBmfXqReOs6tn2ot3N+6ixZYFgGIwsb7VTGNjIzv2daDo0gEIEM3GihNcf/WZ/Y6EEEIIMThJ\nOB1keg2maiTPx04GRwD12ArM0d04Iq1Y3SeobTChmgsJ+erR3EYUYzrooMmZyLJFO7jl7smUlw9n\n49/XcsJTSbfpBMmJBi6+cDTrV1SQPy4V3zGYPGEWMTExABSk26hs60bRm9HUIPnJPc+2GhTtlLlP\njQQxmUxYzAp0naxDhEmmoBJCCCF6I6P1ZUDUoNJbMF2XU8SrZVMJNleCpw4UF3Ep0URrXSTbIcay\nh+769ajt+0GJCh+nKDq6PD09nn5/gKzMBIqz7Fw+LYNLLhrO9nW7iU9PIC0vmaDRGw6mAPfMv46b\nx6lMTm3h2pFe/uPuGwG4ddYF5Puq0PxdmNz1XFXoIDY2llvnTiDOXIvmbyErppbb5l3UR9+YEEII\nIQYb6TkdJHp9xlQXzaupBRjTMjDu2oQheJSiedPx7thARMjFqCllTDRHsPTFLYyeVkBVRSfV1T09\nmwalkeHF8ThbO/n78x8xZlQGc68qY9Omalav2EpUZjpD8noGQ6mhU1er0Ov1/ODWaz5XxqTERJ75\nyc1s2lFJckIuw4cOBeDi8vOYUDqSpqYm0tPTMZvNZ/CbEkIIIQYv6TmVcDoo9BZMP+iI5i9Niehr\nPyL6yglEaG4K4jUuiWtlja+Vy+bPInVIAtvXVHL5tcMYc/FELrm6m9ef34bXq6G563C2qaxd4SQm\nJRJDMI3Fz22hpaMRe4wNo8mIx9VFxdqdTBk+8yuX1Wq1ccGk8z63PSoqiqioqF6OEEIIIcSnZECU\nhNMBr9dg6rTzl+ZENBSCrhg6/74MfVYhR71O3n15BbExCeSNyGTzyu0ML8lm9ccHWbNqN0Gvl1k3\nlGAw6nhjYR3DJ48lNjmObm83G15bS05WKTV+hTQlSOeRerZs3EfIYOd7VxT24zcghBBCiHOJhNMB\nrLdg+qEthb8cMKCFh+F3oySXoTiG0+reSYrdS0lREXs3H8Fg0LOtspZxs87vOZ+msfbNlXjqOrAn\nxBGbHAeA2WLGGh9JaeFI1ry5g8S55SiKQpym0bxyVx/XWgghhDh3yW19GRA1YPUWTFfEZbOw9Gp0\nQ81AE4TqMDjc6JOHoygKWshIVkkBLZ4O4pRcDu45Tnfw5POiiqIQ70gj3j76c5/X5fKSmT6EG8Zf\nQsXfVlH1wSbqPqjgxumff7ZUCCGEEOJMkZ7TAajXYJoygmf00WheF/oLZqDErMXUGI3a3QjuFohK\nQHE3YjGkMW5GCR8sep/bfzaTFxd/RCgY4sieI+zacRBfp5cUYxSZI2PZ/uFmkrJTaa1rIUqJBGDi\n2DImji3rr6oLIYQQ5zRN0758p7OchNMB5ouC6cKhF6BpKtrBrWBPRN8cQGeKRmeKxn9iLaSmopaU\nsazaidl4iCablcYGJ3OvPY+lr6ygyRjH6Lkz0TSNXf/4iB0b9jH/p1fR0eaCKAt5aZP7sdZCCCGE\nED3ktv4A0mswTRjaE0wVBZxNsH89+k17MBp61rLXNA0tOQl9RgJxVjcxWXG8tb4eX4SNJxeu58jR\nFnbsd7Orzshbr2yhqaaRYRdMAJuFv//fB3TsD1LgKGNk4aj+qrYQQgghPqFp6hl/DXTSczpA9BZM\n10Sn8II1Eu34brRuH+qRnRizR2M4VIUWyAB9JAbfNoLJKdijIHJEMQCmlAxa92wgfdYN/H7p+9Qm\nX4picwDgXrWRiy8IYjUbuOKaMmp2dVM4bGS/1FkIIYQQ4p9Jz+kA0FswXd2VyrNVSRg0I1EOE+zf\njGHSzagRSQQiI0mO3Y7dv4ycEVAY48IQZQsfq+h0YDICELDEhoMpQJshier3VjE0K4bUIQkYLcG+\nq6gQQggh/iUN9Yy/BjrpOe1nvQfTRBa7hqHoFbo+/pigzY3uottRa3aiOJJh/PWccLWQm1xJbGYM\nnvoGzDV70Ibkouh0+I8dIC6uZ7nRCIsOrbsLxWwFIKrzKEMzbMy6umei/IC37+sshBBCiMHD5XLx\n4x//GK/Xi8lk4r/+67+Ij48/Y58nPaf9qLdgujG/iJdS41DVAJqmobcbiczJQlEUCIVQ7Ik9O0bF\nc7zDSkf2WLwZIzB6Wog9shH7oY3EtB5Epwbxd3QQpfeS596Mo34rycc+5K45Kbi7VFa+U8m6tw8x\nuWxWP9VeCCGEEP9sID5zumzZMoYNG8aLL77IjBkzWLhw4Rmo+UnSc9pPegumm4YW8frEi7D7vDTu\n/RsmS4j4y8dhy8mn5qXX8Jvi+OwEE/oIE3qzGX1eAZ5DBymcOqYnxAJb/rKYjKmlJE8rwRhhRtM0\nmt95F7UuyC/u+E8iIiL6uMZCCCGEGIwKCgo4cuQI0NOLajQaz+jnSTjtB732mOYV8vrEi9AUhWCH\nE8cYC1pbLdF7PybUcIipP7yBlkM17NleSXdMLrrmAyQWJYSPN1iteDdUEspMItDcjt+eRu3xdtKL\nCtA0jbYNO/nBdfcQGxPbH1UWQgghxFfQ36PpX3vtNRYvXnzKtgcffJB169Yxc+ZMOjo6ePHFF89o\nGSSc9rHegumG7AKe63RhrTtOyNeFd9s6IvFSWhjDkHGj2RNKRGcwkFiQgz05jqMr1xI0dBERlQZA\nd0szRp+bH18+n6bmZuKL4qgb2cq7m7Zw9PU1jMzJZu6FV0kwFUIIIcS/dM0113DNNaeuDvnDH/6Q\n733ve1x77bVUV1dz99138+abb56xMkg47UO9BdMPOkw8s/oosVdOovHdt8nKjMao95ObZCFrdBHx\naQns2FSL5ZMHj3U6PTHZGaCp6LpaCexqwBZpxWg0ERVlJyrKDkB0tIPhubn9Uk8hhBBCfFMDbzR9\ndHQ0kZE9K0nGxsbidrvP6OdJOO0jvQZTp52/NCehodD2zkai0oIEnc1cfuMldLV30H7wMO++sppW\nt0rqkVqSM9IwtLRht1o5cLgBo+pHp9fT6Dez4MqL+HDTRtafqMWgqVw7bhx5Wdn9WGMhhBBCnA1+\n9KMf8R//8R+89NJLBINBfvOb35zRz5Nw2gd6C6YfBiPDwRQg5ArgsGrctOBmTBFmDny0kWNuA+6C\n8+huDrC/NcTB/Tu57+qL2NVST1SUhjE6HovVjLG+BZPNyl9qagll5gNwdM1a/hCfEP5LRwghhBAD\nX38/c9qbxMREnnrqqT77PJlK6gzrNZhGxPF07FA0vJ/uhMXUQnK0nt0rN3Jk7SZGj0jmiOrA2eCn\nO6UUNXsCgdFzWVJZhVY2mtw5V6KaLHQPK6U1IoK1FTsIpWSEP6MtPZvd+/f1dXWFEEIIIb4V6Tk9\ng3oLpitSCnm60wdmFf3YeLTjtRhdNZSMMFPdFUWgTcWm93D4YD3BAAQN9vCxit5A0HSyJzQuK4OW\ntlbU2CTiLFbULg86a89KUabWJoYMn9h3lRVCCCHEtzYQe077moTTM6S3YLqy28rTqgOlbAzapjcx\nJaehLzwfXShAddsRfMedHNVlUOOLxLtyF/pQG8bkEP5Pz+ntJNJycqZTV2MThqxCdIcPcet3bqX9\ntVfZ5Q+hV0PMysogNSW1j2sthBBCCPHtSDg9A3pdkjSQwaLuHJTtm6CtE4w6TCPKwu937d6D0ToE\nfX0zCcF9lBXHEZtg58Mt+zmwvQHF4qDAYWTUsDR2rlmHz9dNl1+D9q1MtFjR6XTcd931hEIhdDpd\neDJ+IYQQQgwe0nMq4fS0+8Jg6h+BolfQm1LRB3MJtm9CC4VQ9Hq0bh/RajNpk4fjyB+Ntr+S6eOt\nZOUmcfUtJSxfup85M29HURSamhrZvHYN1rx8Ivx+FKORw2tXhz9Lr9f3Q62FEEIIIU4PCaenUa/P\nmHZFsEQbER6VrxECQK9Lxb5nOTgSyLd0ElcWR1t+FgCpBi9ZuT3TQOl0OpIyTbhcndjt0TgcMfjq\narHm5aMzmQj5fAT83QA4O5z8dtlbNKg6EnQq911+GYmfzI8qhBBCiIFPO2Wh8nOThNPTpLdgukrL\nYKHPh+LfiqLY0LQA+rgCAExKC9OKYomM6Gbi+eNYumQlmqahKAonTrTy5Ku7AIULR8XT2ebHMsza\nc5zJRJKm0bhpAzqjkaDPR3lWDgB/+Ps7bE0rQlEUaoE/vP0ej916Y19/FUIIIYQQ35iE09Og11v5\nZLJIKUFnOoya4CcithulzoNfPYG+y0t+qQOlZBIdPh/P/fkfRMdEUf/+P4hIy0C1JqNkjwPgydWb\nuDY9A6PRGD73L+ZeyzMfrcKlKKTabNw+60oAmkOnPmvaFJLnToUQQojBRJ45lXD6rfXaY0omiyhB\nUxS0gBtdoBmrN4TpipkYU4egrP+QoVdMBcAQEUFE7lDGjkmnfc0B2qv2En/N9eFzmUeV0VnfeMpn\nZqSm8csbPt8jmmKAQ6qKotOhaRoperk1IIQQQojBRcLpt9DrdFFqHM92gmLtQPO3owYOEBPqJmLa\nrRhShhA4XI3aWn/qefx+/D4/5tomrh4/mRVOJwaHA4BQezvJcV/tudH7rrocZdlb1AchQa9y71WX\nn77KCiGEEOKMk55TCaffWG/B9OPsIl7Ux8LRFkLNW1F0ThISg1z8kx/irGvi0PsvEVdWimXWdA6t\n2UBqcSFdjY0YOlpo26zy+/seQKfT0fr6a1TU1oKmMdZqY9LUC79SmWy2SB646YYzVWUhhBBCiDNO\nwuk30OutfHsSL9qTMA8diak4BMufJ/+7P6W7sZ7ju/ah1zQMIT9RKclE7vmYJG8Lta/vJGRI4td3\n/Yj4+ITw86K3z7kGn8+HoiiYzeb+qqYQQggh+pj0nEo4/dp6C6YfDSliSXE5/l3rUKt2EKyuJO+S\naT37A90uD3kXTMKemcGRd5YxamQsF867DL1Bx1t/XYveYPjcpPkRERF9WS0hhBBCiAFB198FGEy+\nKJguLi5HUxQwWvG89yaJWXFE5uYBEDqwh/wLp6DodEQlJxKdl0duYRYGox5FUbj8+ilsrVjbX1US\nQgghxACioZ7x10AnPadfUW/BdGtCPC+k5PeMyg8GCe7fQ3y8nmi/QsOGjehNRnStraecRx8RQcXO\nGvKGpQOgqho6Bu+UT+99uJaqw3VkpcUxe8aFsmyqEEIIIb4VCadfQW/BdE1mEWISHdMAAB2SSURB\nVIuDQfLs7bQcOUrLripiOk/w178sYtvOSl6v2MnhejdddT5qtu1myNgivM5OmmuasHmbaW/tJMJi\nYs1b+5g74/v9WLtvbvGrb/HM+20EdHZ0mxo4Uf8Kd992/ZcfKIQQQoheyTOnEk6/lKaqNDz3DK4N\n68Pb1mQW8eKocuhoZf87izAaVEYnGsicfgGPLX6cjlHnYZgyHsd7H9LqOJ/K1es5se8ImqphN5jQ\notJ4/sU96EJBbrj4KiwWSz/W8Jv7uKKOgC4RAFVnY9OeOu7u5zIJIYQQYnCTcPovaKpK/cKncW/a\nEN62Jr2AF0d98oxpywkC/gDTf/YDXBVbKbpkAqFgkHf/sRP96EkkXDED3aK/MvbCTEomjSAUCrJi\n6RqM44uIjo0FYOnmDQzLG4rBMPiawvxPRTYZe99PCCGEEF+N9JxKOP1CmqpSt/BpPJ8JpuuyR/Cc\nN4Buz3r0WhC1uoKLfjgPk8WC0WymtbaR1sM1JAed1K5+B+OUS7HZISraweM/WY3HZSQ+WSU9uQbr\nJ+E0EBtFW1sriYlJ/VXVb+zmOedx4umV1HscxFs6ufmKsv4ukhBCCCEGOQmnvfj0GdNTgmlOEa+M\nu5BIRaHjw7dxVx8gt8iB80Q9JzZuY2xpLh1Hazjv4rEANBypY/nfFtFiz+Gd5/fT2poPwPFjGr5V\n+0gePQqAYF0TMefH9n0lT4PS0SNZ9Fgm+w8eIjc7i5iYmP4ukhBCCDHISc+pTCX1Tz59xvSzg59W\n22J4ZdyFPbfyAbwe9EMvQG9zEFAVjDGxfLRsHYlpJ5cZTc5OpbAgEbcWQWujP7xdURQCrhCNW7dy\n/MNVXDmiFKNx8N4Pt9vtjBszWoKpEEIIIU4L6Tn9jJ5b+U/h2bQxvG2lLZ5nYnKxVVVgzMjGW7mF\nYORwFIOZuJKRxORmE/T5CDrb2LuvkcjoSOJT4uhyeaitaeLyMelsPmHmyH4NRVHQVDfWBLB6fcwZ\nM4WJY8f3Y42FEEIIMZBomtbfReh30nP6CU1VqX/26VOC6bqcIpZOmwVmC507K3CtfINAhx9Mkdg7\nt+HIyQLAEBGBIdLOsAsnsuLv69i5toKqDTu55q7Z4Onk6vumMOq8OiyOXYRKwJSez90zb2bS2In9\nVFshhBBCiIFJek45GUzdG08+Y7rKGM1LFgcRUQ5wNhKRmoJ96qWE3J1o7y8ifXQhTVu3oI+wEFdU\nhM1mRNM0aruM3DJ5BAZjz1erR8NstTDrrqlUvLGJ1LghXD55InExX/05U1VVaW9vw263YzSaTnv9\nhRBCCDEwyGh9Cadoqsrxp/6Mb+vm8LbVXaksciWjmutAvwODPoR96gwAdLYoQroYanerGIydJA71\nc3Tp35g2ewofv7OZTns6a97ZwOhJI0FR6GzvpPL9j0lITmNWWTnFhSVfq3x1jQ38ctk7HLc4iPG5\nuHP8KCZ/MphKCCGEEOJsc06HU01VOfKnxwlW7ghvW92VymLXMBQUtI5GvKvfIXLchPD73uVvE/CN\nRtFbwQfd2/dhSIB3NjahZZQy5NhGymdP4c3F7xGTnsp5c8oJdPtp+bie4vO/XjAFePrD1RzN65kB\noAV4bkulhFMhhBDiLCU9p+dwONVUler//gO6vbvD21Z5InnBPQwNBU3tItR6hNhkK0WJfk7seBtX\nQCHW006T3ho+pqvLgdnjJN1VT4bTzeVzRwKQkJpI3nk9IdIUYSbSHvmNytmF/pR/uzUFTdNkDXsh\nhBBCnJXOyQFRmqpy6In/OSWYfmRz8MKQDPyhCgLBnXQHVmKcOBlf7BC6x1xI0oyZJI8aiaepCy3o\nCR9n0eq5uWwcxjY311wxEluUBVVVaaxpDe9Tu6eGoUMKvlFZi+Oj0XW295Q7GKTApEgwFUIIIc5S\nGuoZfw1051zPqaaqVP3+vzBUV4W3rcsewRKdCb3JTMR46KpYh+XWXwIQCgU5+Ma7pGQm07zhCO7O\nPHS+j7FGJzA0J5XvXXsd//3Xj9jnKeO3j2wkPdVMsMPJXdffytZ1W1D0OorTRlCQN+wblfc70y8h\nYuUqqloOE2fUc9uN152W70EIIYQQYiA6p8KppqpUPvYbrIcPhbd9uvITe7cRbK4jULUdY/H54fcV\nvYFhWUMZHx1ipcNNSqqLrLLRxGWk4aj1Mbp4BN1L1qDojRxwj+TAfhjtaCA7M4fszJzTUu6ryy84\nLecRQgghxMAmz5yeQ+FUU1W2/ecvsdccC2/7NJhqioLq6sC7ZyeX3TydlR/XnjwuGKTp4C7ifzCZ\n22ZcT3tTO3sqDlG3uwqXIw6v18voLBtHqzxgtIGvldE50f1RRSGEEEIMct6al/u7CP3unAinmqqy\n/oFfkNDYEN62NjmLxYoRrWI9oY42uvbtJio1h32tkJBgon71MhRHGprby6iSWOyxdgBiEmNob3Vz\n0G2lq7aNVGUVnSY9focTvE1oyXb2e7z9VVUhhBBCiEHtrA+nmqry1g/uZFigO7zt44yhLHEkg6YS\najyBHz3W4gnEFWVhyc7BAqjbt9FYnwgxRnTsCh/rcrrZ7opDLexZ3eklZzMRdQ0ow3tuvSvAidYq\nhBBCCCHE13dWj9bXVJUP7v33U4Lp1uFFLAl1o7Y3oJ44iOf4cQwF41FGnY+n4eQIe2t6OsnOXVwZ\n38yotCI+fmcjLXXNrHpzHcEhI8L7hRwJGLVAeC1cTdNIMcrzIkIIIYQQ38RZ23OqqSpLbrqB8RZL\neNvGpBSWJSQSnZmN86MP8Q89H+t5Qwnu2YA+JoGQy4mmqnhrTxB1aB+L/vMeLBYL+6qr+eWSHYxq\nqsJssaHUH4L80QDoXE7mThjDlmN7qfEppJo0Flwzo7+qLYQQQggxqJ2V4VRTVZ6ZeyXTYuPC29bE\nJrPYrxETCODZtxdPzhQMaUN73jQYUSpWELBZOb7kVTzZ56HTDeWRF17lV9+7mbzcXErSI6msMpPg\ncGNs301M0I/JFklpjI1rps/mmn6qqxBCCCHE2eSsC6c9wfSqU4Lpupwi/jbuQtSVy3Dt24vz0BHM\n10/v2T8URGmpISolGrWzgeaiGSjGCDTgPV8U09at56LJk/jDL77PC0v/gS8Qz8XnzaYg//RMEyWE\nEEIIIU46q8Kppqo8c+0cpsXGhLd9Ol2UqoYIdToJtJqI1scTd2IlwYBCtOqiKSLEuFlTObRuB816\nc/hY1WTF6ekEwGw2c9u82X1eJyGEEEKIc8lZMyAqHEwdJ4Ppap2JJal5BDtacb//KoH9cahdo+j2\nTkatDXBBkZV5lw/FERuFoteRNjIXW93WnvNpGsmH13PJxAn9VSUhhBBCiHPOWdFzqqkqz1x31SnB\ndG1GAX/NG4NWV0Vw6yFCzTGYLbkAKIpC8/52yu4r4si2BsqGZNCuaVhiHJRdkMfG517B3Whg8pQs\n7Hb7l3++ptHe3kZUVBRGo+mM1bOvbK/czcpNe7EYFb57/UwsFmt/F0kIIYQQ54hBH041VeX5G69l\nWrQjvG1jfhFLdBYwGvHt24V1+vWEPtyM5tFQFAVN09AbPKx+vYo7vnMHOp2eJ998jT2NbbQdd+M+\naMek1ygdU/Sln9/W1sbPH17IgWMKjqggd353CheXTzqTVT6jtlXu5v6F63EqqWiayu5Dz/D4w3dh\nMAz6XxUhhBBCDAKD+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IwJTu3si4iQbSUrOJ37KXqOPt/mOJc0bTPj2bybGp/rEhQ9PYv68iGKWKhI2A7cMaHR1N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\n//qv+da3vjVOlf9xZ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p17Fx636gx9kpB9E7GRZREzg2PyyFFbU2esVYcRgmJkwdy9w5i2nXPoV27VOo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BBDBpWwq2wBH26pwmPClWeNJS8vv+sLFUIIIYTYT0JtL9NRoP1HbYLf7gtg6AqUhk4Md1oWFGRj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\nOOcchpYcmem6hBBCC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MQaTVqGMqIiLSQjbu2MaS/TmYBQfxd03FHh7BZYveoH/NySWhVvnsvDz8Uvjn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8khVh688wr69Y0mNiacIRH+tDW3oLpc9PFvZ8GfltLS0oamaezPLz9u++VVDoqLa3G7v/vLqqm2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\nLFhAdnY2//jHP1i0a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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sapm_sd_scatter(tmy_data.Wspd, label='Wind speed', vmax=10)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notice the use of the ``vmax`` keyword argument in the above example. The ``**kwargs`` pattern allows us to easily pass non-specified arguments to nested functions." - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def sapm_other_scatter(c_data, x_data, clabel=None, xlabel=None, aspect_equal=False, **kwargs):\n", - " \"\"\"Display a scatter plot of SAPM p_ac vs. something else.\n", - " \n", - " You need to re-execute this cell if you re-run the p_ac calculation.\n", - " \n", - " Parameters\n", - " ----------\n", - " c_data : array-like\n", - " Determines the color of each point on the scatter plot.\n", - " Must be same length as p_acs.\n", - " x_data : array-like\n", - " \n", - " kwargs passed to ``scatter``.\n", - " \n", - " Returns\n", - " -------\n", - " tuple of fig, ax objects\n", - " \"\"\"\n", - " \n", - " fig = plt.figure(figsize=(12,12))\n", - " \n", - " if aspect_equal:\n", - " ax = fig.add_subplot(111, aspect='equal')\n", - " else:\n", - " ax = fig.add_subplot(111)\n", - " sc = ax.scatter(x_data, p_acs['sapm'], c=c_data, alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) \n", - " ax.set_xlim(0, None)\n", - " ax.set_ylim(0, None)\n", - " ax.set_xlabel('{}'.format(xlabel))\n", - " ax.set_ylabel('Sandia model power (W)')\n", - " fig.colorbar(sc, label='{}'.format(clabel), shrink=0.75)\n", - " \n", - " return fig, ax" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(,\n", - " )" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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3mz+uWUGRx4Wl7CxPfqupmL5hGCQPjiD/0kWSk/q0uX2v18vvP3yP7PyLDE3p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UQURQIDApk4Jp6y/KPYW+vxjdBiTMtA1OvpDw6l5tA+bJ2NpGdGoFariI/x54O/baa7oxux\nrZ7MjDAuV7bzwXu5FJypJSYpjqbGFuKiEwFPc4XM5AwmJKUTGhzKm/vfIXPpJMLiw4kdG8ubm3cw\nMy1rRMqBv18gLXVWLl2soKW2lyDDGFJThjt33WmMRt3n5nulcGOU9+ufB+W9+ufBaNTdeNAd5rmX\n8u94zulTj0/6FM/o1lEip5+A8yWl/GTjcep1kZj2H+abOZGsWTTnU1n7Ny+8waECGR0DuM6+BVkz\ncaXM4gRw+XAR/f6moTdXEEXs8sjo2wOLF9C75QMKWlvwVkl8Y81Cunu6EVzDBVayJFFeXc7vtr1J\nR3sH4/z0TE0fx4KcHAC2HdpLW0YyRp0OW9fIavzWjg6a+jrRWCNw+nhyRgP6G8lKv1oDgQgeDLu2\nRZSXl5HExJHm/pMyxtPQ0c6p4osIgK6tnvT7ZgNgaesicNzwF0+ICuN3776MNjwYtd3F0rTJTMzI\nJDgwiBf+/Una29t46shRzzm73WgKDuLW9ZM1L41XXj5IbFwo1n4HS1ZN5eTxS8xdcRcA9sggjJKD\n+Ss8HbHaGi2cKjhGdtaMEXt1u92gH76VL4oiumB/zpVeZObkkd20Jk6YCky95rVQUFBQUFD4oqOI\n00/A6wfyqfeKQ76UR4+k4TeXCmhvb+L+ZXfha762WfwnpaKikq15fbi0IYMeqhEQNJxX2eafQGL9\nIZoj4hFEEXNzOXOmjx0xhyAIfHXVSJslWZaZe/och3pEZK2B8LJczDPjUEVHEEwipSfO89uKVlq7\n9/Dg4kVYnQ5Ug5E/XXAoDWfOEZSShKW8im6/UPTZqfgfPomqvYEQX1/uX5BOVEQEt4t7Zs/nnsH/\n/+P5XyDLMoIgYPQx0NfegSHQk07QmnuKtKVzEAZv0e/MyycrfTyCICBJEgdOHSWouYz2zkacgpp5\niychXy6ix9JH1qLpmAOGW8WePlo89H9nYysZExOGHgeF+1FyuWXUPlUqFX2t1qH9WbutdHb0EzV9\ndJGYgoKCgsL/cZSUU0WcfhwOH8+lsraZjrZ2aGlGpY1CtlyAgBDerLdyfMM2frpkLvFRUTee7CaR\nZZn1O/fS0NWHL3ac6IbM/QVJC31dyEaPIFZ31uAT6Udw2X7iYpKZO30smakpN1xDEAR+8tjDLDl7\nlj7bAA26aLqih8VkdGoM5Xkt7O6x8yAwOSmV8xfPoklOwCcmBkdNA5m1Xay3iniNSwUgePZUMmoq\nefqe0Sb8txNfvwiO78wjJS0ajezCde4EPf5huJwOzKJqSJgCuHQanE4nTa2t/OAvf2fiAzNIGzcH\nyS1x6tV30egzsdichEcHUVRYi3mqJ1+1o7kTLz8z5w/lE5MWT1dlGw1WLSERHv9Sa08fBo33Vff3\nzXu/xjOvPo/LW0dnp40l46cSGxV9R6+JgoKCgoLCPyOKOL1F/vb6Zt44ZsWpMqN3aqCnFkndjzp8\nJjIwUNdBnUFgw8lTfP82itNfvfIOm3uDkLWh6HqaCNeW0CiPQxBEwoxqMsU68hur6HEOEJkUgE/W\nTFydnUzSeTPhJoTphwiCgL+fLzsvnaKluY7YKB+8BvM/O6sbMPR20CRpKKuuIiUhiUecTo5dLkEF\nrFx5P35mX/asfwv74HyS3U6ARvuxz/tQfi5Hq6sAmBkbx5xJOVcdt2h8Jn8pLSUv9xLfun8c5nke\nL9Pqknpay1Q0W3rQ+5mQJQljnxOtVstzWw4gBfhh9PVERkWVSGBiDJeOnCJ8TCKHD1+EgX72rt+P\nwdeEW60ja+ksDry4i2z/sdy99HEuV14kf18hKjWIdiMrFj1w1f35+vrx83/9LxwOByqVCtUV7VIV\nFBQUFBQ+RFCq9RVxeqvsOV2HUxULwIAmEn91BRbv8KHXRV0AztYq3CG315syt9mG7OcxcbebwghL\n72GxLzhcLhbPXkZyYjxb9u3iUGjgUJRQ7e9PY13T9aYdhc3Wz68OHqMzZTxydAp9ezYRFBuOJEno\n/Pwx6gTksDjOXiolKTaOcSlpjEtJGzHHExOyeOfcOQZEgVSjnoeWrbrp9SVJYt+x/fQ7BzDrzWzp\n6URMGwPAezW1hFWUMyYhcdRxkzPGYdTrOaHRcOz980yYm0xTdRu1FVbiohMIq7Zgre9E45J5fNl9\nAJTW1aDW24ZutwMIAqhUAq7yixiNOibnZHDsWCleoeF4B5qp3F/ED598Gl9fj2CfMDabCWOzb/r8\ntNqPL9QVFBQUFBT+L6CI01tEFEcWFqUkJlLYaGEAj0CV3Q50dgsLU2de9fgte/bywsZj2J064oO0\n/PJ7jxIcFHTDdfXiyF9SXloNX3t0zYjnJqeP49DJI5DiiRpKlVVMSB1/0+cGUFVTQ0tgGBo8UVSn\nKZDQiVkIoojTNkB5ZTtGLy9iQ0fu2WbrZ/3OA7gliXsXzebZDE+VeVCQD21tvTe1tizLvPjea2gn\nRqMzBlKaV4xdF4xh8HUxJpqiirJR4lSWZd7atYeLnT34qQS+fv9TXC67TL6lg5h7ZiIB7Scv8EjO\nKgICPHmox/NP05uRjeR2k795DwERwUgOOwFRYUiWNh5cMxyhXfvAdPa9XUWiLpm7l81Fr9ejoKCg\noKBwR5BuPOSLjtK+9BZZMSMRg7sDWZYJEBt5YFkOP3h4OtFCBUbrReI4z++euJfssaMtgIrLLvPr\nDcfp0U7EbszgYl8SP//zhpta90s5Kfh1lCFbO4m2lPD4gimjxkSEhfNYagbhl8oIu1TO/ZGxV40y\nXo+IsDBMV1Te90dm0L7zKG0Hc7nw/kH8DD4sF91kjx/uejUwMMA3fvsKz1f78EKdL9/8w1t093Tf\n0roAFouF/kANOqNHjsZOyUBVVzH0urupiYRIT6qE0+kgr+A0xSXFvPrBLv7eo+O4OZH3veL4/97a\nRENHCxEzht+D4Jw0Tp7NG3rc1G4BcyCqwDAq9YnUFF5CcDvpbmhGMhg5dbQEAFvfAK+9eAircYCC\nmnwqqstv+bwUFBQUFBQUbh4lcnqLPHzvUjLGFHO5vIYpk5YTM5hXumj2NCRJumb3H4Dci5dxit58\nmG0oCAK1raN73F+NZbOnM3VsCjX1DSQnzMZovHrhTWZqBpmDhvMfB7PZlydTEthw4TwDgsA4g4Zv\nf+Pp657X7sPHKNKnDKUTlHqns+3AMb60ctktra1Wq3Bf2Y8eCJMErEUXkGWZqSHhTEjLwGaz8euN\nr2NPT0DqaKOx6AxyxjIEPLZZlx0iS/QG2q396HwGUyF6+1CLIn94522cWj1JZhO6wlwcadPQu21k\nzZ+EaGlDp1dRebaYwDkrOb23movllWTfNw9R5Tm3kwdOkDYmXTHGV1BQUFC4Myg5p4o4/Thkjs0g\nc+xoAXg9AQcQavZB0NiRZQlBEJElFwHeTv7+xnuEBfmybNGc64oef/8A/P0DPva+T58/Q21LEwmR\nMWSmjb3muPnZ2czPvvk8So1WA247qAa7JEluNKrrX4vi0os0tjaTPW7CUP6myWQm0m2is74VY5Av\n7fllPLH8fsJDw0cc+/6R/chTxqNXqcAModMn0HhkL0GhvvTZ3PjIGuZOn8M/Nr9Gb7gnCtuQV8af\nW7yQjf5oesqIzJ7AGHsTDac3YPZWo+kKYNZdHm/UsRMSaCvqYPmCh7G63h4SpgAqowqHwzHCPF9B\nQUFBQUHh9qGI00+RZbNnUVRdy86T+UhuLaFqG2XtQRSfEMHZyLmLL/Gjbz856jiXy0V9fR0mkxl/\nf/+rzHxjth7cRYmXC6+UIC7XVtB2vIOkmASOFhXh7+XF0lmzh4Sxw+Ggrq6OoKBATDfR9Sok0B+h\ndjNyZDaIKuS6UwRNmTdijN1up7W1hcDAILYc3keRl4A2KIAje7fyZM5c4qI8Pq33LV5FcUkxrdVt\n3DNv7VXXd8kS4hXV7hqjF5NSzcTnjEdyu2nadQqbrZ8vr36EhoZ6LJZOnrR0QspEBMDpTqbn9Bay\nlk8mIy6KsxveJzLGYwdVe6mG7jYLaqunoM2kNmHttuJt9kaWZaRuSRGmCgoKCgp3DiVyqojTTxNB\nEPjPx77Edx9yIIoqHv3Ob7CLgybuGm92nqnh/zkdaK6wXrJarTz94juc14ZgdPTxSIIvjy1fctNr\nut1umpubuNDZiHeCp5e7MTqMvBOFvFnbQn9iKlKfleK33+L/PfgQ1bV1/NezmyhrFtGZWkhNieTe\nGRNZMOXakdTyugZck+9CqL8ETjdMWkhtRweVtdX8avNRWgfs1Fyup9YVT7jaSlyqDv9ET6GWakIG\nu8+e4utRw00EMm6QljA7cxIXj+1Fl5mO5HbTfvQ4mSs9nadElQqnWcXOs+vpa3WQFj+VP+08gOQG\nubUKITgOQaUmMtKXgDhPSkb68oVUnj5Gf7uFlOQQJo5NJ3dfMZfKLjJv2kL2Hd9NvasWnLB6zprr\nbU1BQUFBQUHhE6KI08+AD8VnV58NNMPPu1xu7PaR4vTFHXs5G5qJIIhYgTcqLrGyyzJ0K/x69Pf3\n8d0f/YXCSjXJM2xkTk4feq2jt5f+TE9RlWj0pkClw2Kx8I+391LWHYEcWAaLV1Mqivy6tBE4NSRQ\nL1eVs/NcLi6VQJTOhynjJhCy6QRtMR5LKd+uWiblpPPG8YP0pyVRl3ceKSoC4+XL1HlPI1xuHLFP\nWRCQZRmr1Yq3t/c1Uxvsdjvv7d9BSW0lWhm8ThQQFRJOSGQMono4kqrGRVJWHKJK5PnntlCWugI9\n4FVylCW6SoJNGi62NlJ69DTBcVH4R4bS2a9D43YSGRsCwPTF43j/rY2UNoWilQJ5YOGDN7zeCgoK\nCgoKnxilWl+p1v8sSYkLwNVdgiy5cNta8NH3YzQaR4zpl0AQht+mPo0XVqv1pub/x6tbOVsdgqQK\novqcioZzl5HcEr2XqtC7Rv4uESQ3KpXIgANwWVGnJg4VONkDwsmrbvD8b7fzzpkjuLOSEcYnUR5i\noLS6jJ/MSmWmrYwZtnL+c1IEY8ckY1UJlJ8owJUxHSF9Cn4rVqPrK6O1uBan1VMINnC5gnhzIE/8\n8SWW/X0r9/z8OU4VFo06F0mS+OOmV2lOCSZg6QwG4oJp0bmJDglh7bzlWA6fo+X8JUp2HOD/Z++8\nw6M4z719z2zfVV/13hsSSIDozXRTDRg37BjXJCexT+z05HOcnBQnxycniROnuDfiggvGgKkGRO+i\nqaDeu1bSavvuzPfHYskyYHABOzlzXxfXxey88847M1r46Znn+T2yz8eW7aWcOlJJgElEHuhF8nmZ\nFtxMUowRnRbuum08Ro1AXaeLyg8OMmVEEQGmwGHnDI8OYeyMbGLy1Jw4eeSK7rmCgoKCgoLC50OJ\nnH6J/Ozbd/Ldx5+mvOEYwYF6vn/7iguihtflpPPB/kr6zMnIkkSBt4OYmNhLzDgcu1MaFLZORxz7\nnq3mm1/TsHzCZOQc+NUHu+jNzIM+C1P1GoKCgplUkMCRc1W4LW5I9s8jSxImwZ8D09ragi9qKGqr\nDw2mtbWJ+VNmMrFwuH1WqE/GozGiPi9yBZUaXaCWovAcCqwSve1tjM4t4untBzkbUwhAG/DDf75D\n3EtbKcqJ58G7b0IQBFpamnHEhaFT+39ko3MzaTh0nJONNdS2tdFlCqCvoopZN89Efd7ovuZwCVpz\nMGndJ7G2y1x/93WYAv25pDvfLUbdZUM/diTa3n5mTZrOe1ta6e2yEhIeyNnjVUTG+ovPwqODqSjv\nuKJ7fjWw221s2r0BSSMTog1hztR5iluAgoKCwr8rSs6pIk6/TIKCgnj6l9/F4XCg1+svKjgmjMrn\nl8CusmpMosy996264taX0yflsvPQXqyecGRZYmSakVtuWDl4/O8WL2TPieNER5kZX+AvYFq+eA4m\nk4G3dx+kpvQwcmg4OW4L997pb8sZFRWFeKIPEuMAcNvshGoNFz3/1+cv5dSzzzDQ0YaoVqMKNZMs\nOPj+6q8PczZose6AoKHj9NFRBIht7Kotx/jKm9x3x0qMRhOS3Tk4RpZlfF4vOw+VEJwWjW6gCz3e\nQWEKYDSH4Qo3UlAQTOU7mzAGjGagz4beqCMuI4FxU4J4f+cBPJpoABbNvZlDR/dSvq8Ot9jPtMWj\nAThzqI5RWXOu6J5fDd7Y+hqpMzMQVSLWnn62Fr/PvOkLvrT1KCgoKCgoXE0UcfoVwGC4uLj7kAmj\n8pkw6tLWTwA9vRY27j2AQatm6XXXodFomDh+NI9+R6b4QBkGvch9d35jmLANCw1j6czZF8w1b+YU\n5s2cgsPhwGYbICzMPCgmDQYjizIK2X70BF5RIEbUs2TxyouuKSgwiGhDCHvrbQheFzHde3n8oW9d\nYLmVpPVyzjkA+gBkr4dYvZ2QiEjSFxWy9sl1HGyo5uGblhHVL9F4toKAyHCajp2ixyJT2xfAYrGf\nFd+cTfmpWlqr6olKT0KWZRorG4mePIn+ti70NgeHNxSTnRlNk8VGdXUneatmsXT+CJ7+4wbe2RzA\nsvnLmVA0FZhKRVUpJdtPAjLpieOIiY77xPt/tfD5fEgmedDOKjAsiObyxi9lLQoKCgoKVx9ZVpJO\nFXH6FaKqpo7Hn9lAR5+PxAgtP3vwZsxXYB3V1d3DQ6++Q0NSIdg87H/6RR7/+l2oVComTRjDpAlj\nruj8uw7tpcXSRWxoODPGT8FgMFxUOI/JG8WYvMu3RX1z+wfsDclH0PitlzoCQqlraiLcPNyr9dH7\n7qb8Zz8hIC2dUJ0Xc7iAkOIvaNJHJXC6dYAfvbwGn1Wkw1yAYGtC8gYioyLQV831S2dhs9qJiQ/H\nW9/BrufeZsAtET16JF2VdfS0dxMUouPWWyeh+tCzdPMJfD4ffRYrN94+hdMnK9h3qJjJ46cBkJWe\nS1Z67hXdt6uJSqVCdg39QyXLMniUVz4KCgoKCv++KOL0M+B0Onni72/Q2ukgMdbEt++/GY1Gc/kD\nL0LZuQr6BmyMzsvj989t4lSP396otVXmD8+s46cP3Mpzm7Zg88GEtEQmF4xCEAREUaT0XBUHTpyl\nvKWBhvTJ/rQAjS+/H1IAACAASURBVJajoWkcOVnC+MLRPLdhA6etNvSyxO3jx5KXnnnRdby1bQNV\nZjWG3Bgauyx0b9vAijmLPvM9Auh3ugeFKYDXGERHT+8F47RaHfcuXMY/9u7F6+4ifPFsjOYwuuqa\nsbRb0OYXYo2MxWfphLOVED0SEZAaSsDnY9fmYwRER6LW6+irb0PtkhHCY5FDIpDUGmJSM5F2tg0J\nUyAyKpizxyuxWR1Mmz+W5Iw43vzHwUFx+lViXNp4Dn1wEE2gBk+Phxtn3gTwiekgCgoKCgr/mshK\nub4iTj8Lj/3vS2w9akQQAjlY6sXtXsMPH1p9wbitBw7y+qlKPLLA1JgQ7ls6XOz9/vU32EEAPoOJ\n9MMv0WFxACB66oiI76fSLXH/b39Lw5gloBV458//RPCuQSMITM6M5rjNjEUbj9zjwJAmw3mRIko+\n1KKKd3btYqM+BCHC7yH6x70H+Ut8Inq9/oK11tgtGLL8wtUQHkpt47lh+61WK2/tLAZgxXXTaO/s\npLOnh8K8vIvOBzB3bAGb391DU0QWsiyT2VnKtKU3A/D29o3U23sRfBJzRozl+qlTiAoLo/jUGWp3\nHKPJo6bDG4kn2Iw+0l8ApgqNQK07i8peiux0kCj0cN2UArTpauIz/dfoTonH5KkiNi6ZHT1dhGVl\n0FleyUCXh4ryZrKy45AkiYNH6vEKIjfe7vdH9Xq8RIRGXObJfznk54wiL3skTqcTg8GAxdLDs+88\njTpMjaffw/iMCTgdDqq7qkGCwrTRZKVnf9nLVlBQUFBQ+Ewo4vQzUNVgRxD8ve0FUU1lXc8FY9ra\n23niVAP9MX5D+UZrD4n7DjBv8kQAqmtr2CEZIToOFVCTMYbAqnVIXW3kzTaSOGGyf54zFcjN53C3\ndCDFJqIdPxWvLLP9g/UQkI0AEJiNb89mVFPmgtvFJFsjo0fOpPjd9QgxqYNr6ggKp729jaSk5AvW\nK36sOvCj23a7jW8//Sqlcf4CoVd/+yRWIQa3wUzu+4f5w7duwRwWRmNTM4dPnWFERhrZGekkx8fz\n1KpZPL9lP6Is8bU7biAgIIAdB4upMqvQZ6YD8Nbh/RSfKEYI0mAywISsbKqaOzhR30LHx4KCKr2G\ntCiZXLMGn0VHZ3cjI2OGGgRoDTqio6NYfN1cdv39T9T02jDExeELj2Pj3gZOVVpwuL0kXzeFY+/u\npaerD41Gzfa3Srj/tu9d/uF/TnosPfzzgw041TIGD9w2ewmhH/OslWWZ2roaPB4PGemZiKKIIAiD\nKRZbD24mc072YMR089pNJI1MJn5SIgAHDx0gPDQcszn8ql+PgoKCgsIXi6xU6ys+p5+FsODhmj4s\n6MLq+bLqavpChiyffIFhVHd0Dm4P2O14dUP5nIIoEhUXRmBcG102H53V9QBE52WhbixD6ulAO36q\nf6wgoJl2PXJ/HbLXhcrRgnHAy4N6Cz+Jkvj1vXciiiKxJgOy3TZ4DrO1h8jIqIte0/S0fPpOluOw\n9NF3spxpaUMFWOt37aU0djSCICIIIj35s3FWlYDDSqlxBC+8t509R45z3/M7eKxcz71rDvCN//4f\n/vLOG0SaQ/n+zTfw3VuWE2E209fXS2VLI3rzkCATEyPRpIWQODEbb4yR7Y3naApWERAusTQjBlXl\nCWSnHV9lCZEaOw8ujueWpfmsWj2V0CQtR7ccGJyr4sBJSmuaOHP2BCMCtQRIPvThEahUamxeFVFj\nR5M8aRwqjYb81ALcddH0V4Tw9VU/GNb84GrQ3tnOr9f8jSbZRqvVgjQqmVc/2DBsjCzLvPreKxwb\nOEapXMrzbz+Dx+MZPkbNsFf5TreD2Kz4we3EgmTOlJ+6qteioKCgoKBwtVAip5+Bh76+mN8+8Tat\nnW7io3X85zdvvmBMXmYG5pPb6Ynzv17V9nWQmxUzuD83M4vcvQepCApFUKkwVJygyhSOtmAGLqCy\nqoRAcz9uhxPZ7kDUGZA9boTzAkq29hLsasZsdpO5cjSOznDckot50+YOnuPmOXPpfPstzja7MSBx\n25iCSzoDCIj0VNTiPlNGVkwioxcOFTxpNSqQvCCeF28+LypdHHJDDUJYHB5Z5I39Z+gOTEEAXCHJ\nlDS0YJyfxC/WvML/u3k1giDw4qYN7BwYwNHRxujeKAwhftP7/pp6cqdk43V7KK/pJnme37bJ63Kx\n841teLKn42upw9dwjqiCBMIjhnynxhSl0lzVSPPBIwiiyMg0M2vPnEEffo47v55N9HslnNr+LivG\nz8HqdHLwnX3oTXoiNaHcvOBW1Opr9xV4bfcmMm/wuyNIPomafUeICQgZNub4yaMEjwwlOML/eXBE\nCB/s3c68664fHBOsDsZqsRIYGojkk1B5VFh7+gkM89+XzvoOxsaNvUZXpaCgoKDwRaJU6yvi9DOR\nmprEU398CFmWL1mMEhEewQ8m5vDqsVI8CEyPD2fGuKLB/RqNht/eeTuvbduOS5ZpV3k5mF44uF+O\nz+T0hk2EouKtn/2YgQErj7z4BpUxOQgeF1M8ncTNzqF/jL+iXBsYQMnZMhZZrQQG+kWfIAg8sOLG\ny15PdX0tz+5+j6IV09CZDDgH7Dzz1kvcv3I1AItnTGfn31/kYHCWf237i1EbcvDZKjFbazFHaTjW\n1QXmFGSvC/o78MgiFdsPEB0XxoGjx4mPiWSH24M6MxtjRhYnD+8jQSdjNgUSafOi0WsZ6OlHEzaU\n96nW6dBExyIGhqB39JBZEIvB3s6W92zMW+xvvVp6up7srBgmZvij1D6fxLjsJro7ezl7sgafz8fS\nZekINKPrjuXHM39wpY/5C8ehEfgwO1dUiai0Goy+4T8/AzYrhkTj4LZWp8UhD+8INn/GArbt2UKr\npxnBA9+567u8X7yRNrEFySeTFJhEamHa1b4cBQUFBQWFq8KXIk6XLVtGQIA/ZzMhIYGvf/3r/OhH\nP0IURTIyMnj00Ue/shXIPp+PV17fQGvXAPlZcSycN+Oi4zweN5MKCphUUHDJufR6PasX+4ukfvC/\nT+Dt7UYd4rdZctVVszgxiW/c6beECgsL4/mffpfqmhr2nyzhuMvE4d5+dAePkXLeKkrWavF43J/6\nmo5VnCUk1ozO5I+q6gOM1Hj7B/drNBr+8M3V/PixP7DrnIQ6IAcQiDdY0br6OSEkEJKkQiorAZ8X\nITwF1CYsHT3oNWr+t+II3184Bik4GPCLZv3YKaQ3NzApPZPSmirqN5/FEGqkr7qR4DR/nqyjx4Ld\n7kGyW5ka0U3RNP91djV38vQf3yMsRIdHFqk+W8ctd83CFGDg2VePEaFyEFwQx9gJ/gKvw/vLSU8L\npvTsfqKbkkiIT/nU9+iLwPARCyjJJ+Ft7mTV3bcPGzO2YBxrtr5Mzpw8BEGgcm85CwqGF9IJgsDc\nafOHfbZi/k2DeUpf1e+OgoKCgsIVoEROr704dblcALz88suDn33jG9/g4YcfpqioiEcffZQdO3Yw\ne/aF5vBfBR774wtsPK5DUOnYdKSafqudW28c6tZzprSCXz7xDq29EgF6O794cDlFo0dfdt7UxGR2\nnaxAF6BGlnw4HSKFC0cPM80XRRFRrWK3Wg1p+ThPV9CwpYyq9esJT9cxOS+G0NDL+6J+nMigUJxt\nw6vz1b7h6chqtZrf/fS7PPPPdVQ29mMOUhMaWci+vlayp/gjvmUl63Cl+++FEGDGXbOXlp4gfOgI\nDwkl4vQpekNCEQQBVW01Pq+LfzRUIibGInud3BKXyuxR1/Hs1g04BZlQn4jc1YXcvYvs+4aizuFx\nEfSj5YG7Z6FSidhtTp5+rhirU6ay2kJRHGRkXTc4vmBMGicOVRIUauBE6XYS4u/71Pfoi+DWGQtZ\nW7wFl1omwKfil/d//4I0C5MpgJtn3squgzv9IjR/PlFR0Vc0vyJKFRQUFBT+HbjmBVHl5eU4HA7u\nuece7rzzTkpKSigtLaWoyC8+pk2bxv79+6/1sq6Y4xV9CCq/d6dXCOLgyeZh+//nH+/RaE/Dq82g\nVxrFD//yFl3dF1bzf5wV100mxaDGHjoSR0g+E4MFxl0k6lpRV4sUF4/P6aRtYxU+eyZeXzatZbGE\n+kI+k0CZPn4SsZKRY+/tpuH0Oco27WPF5PkXjBNFkftvX87jP17Nj751O7Jag170De4PiR1ebCWJ\nBjxBScQL/cTGxvHI0mWMa6ijsKGO/8jJocbnRRUX5/dtTUtlR1U5SfGJPHLHvfx0+SrqfUa8k5fg\ncAuUHasanLentZvwQPWgb6nRpCc1PZoxtyxBq4eQqHBamrsHx58rb0ZUC4haLVrjl/cbaWR4JN9a\nfgcPL/ka9y9bdYEw7e2zsGHrCxw+/Q4qn5W02BTOnjvOvkO7lOpNBQUFhf8jyEhX/c9XnWseOTUY\nDNxzzz2sXLmSuro67r333mH7jUYjVqv1Wi/rkpRWVPLyhv14JJhTlI5RJ8JQi3cMuuFisLXHCR/5\nyKkNZffxo6yYM5dPIsJs5q/3reC9PfvRq9WsmLv6osU6hTkjePG99agSEvDZTYjnvf8FUcfR0zWc\n+MsaBAFWjs9h6tjLR2zBH3H73upv4HQ6sFqthM0wD4vYXoqF48ey/cndOMfnow80ERMp0tHcjBwc\nh+xxEDDQRKZbjylY5gevvUu8TuA7K25Ap/OL+1dOHBk2n4zAhr17WVNWg11jwFN9mmSxH0+MQHG1\nTPvAMbReO/VWFekaib07TpKeHU9UbBhWmwd9/wCSqEUXGMShkmZMZ5pw2F1UnG1gzqIixhYl8cG6\nqotdyleCPQffQRtkY8Dto8NiQQp2MHJGDv2WAdZvfY2l8279speooKCgoKBw1bnm4jQ5OZmkpKTB\nv4eEhFBWVja432azERQUdKnDB4mICLxqa/wQi8XCL57bTr3Pv96T66v42tRE3tnRSFuflswYN9//\n1q3D1pIULXK6zYcgqJB9LjQBPjKT4q5ovRERgWRnJQ1uV9fWs+tQCRlJsUyb6I8sh4YakB87i7O5\nAUEaACIBEGUrp+1eHBp/IUzVrnOMykkmLdk/X29vL1v27EStUrFo1rxBgTicwMH5roSIiCx+umoV\nf9rwNm6Pl7jsFKZG+WhrPIUpREVoSAj1nR1UpixEEEVO+bxo3tvAY99cjc1mw9LQgCYqAmN0NLaq\nKm7MSOUvx6roSx8FLTVMWDyBmFS/RVL54TL2WBIgKIyU5teZc0cR8YkRlOw7zZtv7ENOzKS++AxC\nQgrRgXEIYj/acCMD9VayMyIZ6NZwaFsbKxatJixs+LPo6urC5XIRGxv7qSLPbe1t7DqwBUEUyc8o\nJDcn74qPvRh91nay89LIT4xi744SRk7IASAoNAAhoJWQEP1n7kR2pVyL75XCF4fyvP51UJ6VwpWi\nVOt/CeL07bffpqKigkcffZT29nZsNhuTJ0/m8OHDjBs3juLiYiZOnHjZeTo7r350deeew9Q5IxDO\n6wGrGEG/w8lLv7+Hjo4O4uLi0Ol0w9byxC8fZvX3f02TU4PGKLN4bDb5mSM+9XoPnTjFL949Tqcx\nGd2+s3zt+Dnuv2kJz7y7lpz7VqLW6Uie2MT+P23FqDaRO8LMwaQZg8e3ByTx/NqN1LhF+hxOog1d\n5C+diuT18V//eIJv3Xj3Z/b1bGlr4x8bdmL3ieSYNTjD0rGHR6IPsRORmkDSKPA4XfiqzlLhERFE\n/+t3QaWmostNbW0r//30M9gS03EcPILP2guiyL62LrqtEir3EdSt1cTMWDp4zozCdA69WYlTa2LG\nyHASkvwiunDKSE41uWgKzkKTGELAnp0sn7cSh8NOT08PkddFDRN0Pt/wn51/vPsu221uvBot+TYL\nP7v99iuyl7Lbbazf/TLj5+cgCAJHj+5mwOYhJSn9M91TgJ4eB7GJ/tQI2Tf8Hye320t3t+2KItqf\nlYiIwGvyvVL4YlCe178OyrP610H5JeKrwTUXpzfeeCM//vGPWbVqFQCPPfYYISEhPPLII3g8HtLS\n0pg//8J8xy+DtOQEAqRSbPitfUSvnZiIEAICAgbdBj6OXq/ntT//kp6eHlQqkeDgkIuOuxxv7TtN\nl8nvG+o2hLPhdDn3rZTpkNyoz0c9Q1PjGbkgncduWc3ZqmqO7+vAbfJX+5v6m9nVZ6UldQLBtiPM\nWTrVX4ikURM8IYNDxw4zZcKUT70uj8fND59/l/Jgv0n//qP7iL5hHhqgrPQQNks/eq0KLB1MWTCR\nU/XH6T1/rCzLmFx27v/Zs9QMxMCpHsLjPCQvXYo2KIi63l6Mh44SNmEKts319LZ2EhLjt5ZqLK3B\n63Yxs20jvtTh917u6YR4ECoruGfCJAAMBiOxsQbe2PYBVV39JIYYuf36ucMio2XnKtgqayA1BRE4\n7Y7jzR3buWXe5X/+zpadJG9y8uB8OWOTqdh15nOJ06njF3PqcAkjx2WSnB7Lvm3HGDd9JK0NXYSq\nE66qMFVQUFBQ+GqgRE6/BHGqVqt5/PHHL/j8o9X7XxUSExK4f04ib+yuwOODyVkhLLt+xRUdGxb2\n6avmPxHBL+50Pgn7Rz5OiTBjNocxzRzG3c0b2HyuFFGA2YlBvNwzVKAkSzKCyi+kfF7fZxY6LS0t\nVMh+AYyzH8Hdh89uQ2U0IeeOp6atmTmdjQSOTEFUicyfmcJbazehCUsgXi0T6JA44ExGUAPqWDRB\ndrTn0zh0ISEYwvydo5xeFVu21ZIW24TPK1FZ08vi6D6iEkNxury0NXYQnRBJdUkV0/MSWV+8nV9+\n8z8JDx/ySf37O+/xYn8gkjEJodtG+6tv8r3bVg7u7+jpwRcUyod3QtRqsfV7r+g+hIaYaeloJCDI\n/4uLy+FCLV4sVeLKKRxVRMlpOL69HFmWSTDm03IEYqMKyJia9bnmVlBQUFBQ+Kw4HA4efvhhrFYr\nGo2Gxx9/nPDwq9ciWzHh/xhWq5U/P/UWlj4PORnh3HX7Ddy0eA6yLCOKn97c4LN6Ty6bOILTG07T\nbUxE47RwfW4Uoihyy+RZPLfrfaxaNUa3l1snDlkm3bt8ER+Wl3k8brY/uYZ6oDcyn21v7mXWsgn4\nPB6cx+sZd+PddHS0Y+nrIzU55YpzGcPCzJglK932HvKC6xj5wAL2v/0BPW4N6oBAwmz93Hz/fVTW\nVlB/qJEAjZrnvvXNQYurXz3xyrD5PI7hvqw+r18cOhxeLNmTOAqoBhqIi3RhjpGYumgSgiBwYG0x\nQnsf43OTSUmKxtq7Y5gwBTjaMYAU5s9ZlXUmjne4hu0fN2oU0f98nY7c0QiCgLGmgqmTxlzRfUhP\ny6Lyg1LOWqrR6tV017hYueguPB43x0oOo1XrKCwY+6mfe0F+EQUUXX6ggoKCgsK/JV/Favp169aR\nlpbG9773PdauXcuzzz7LD3/4w6t2PkWcfoyf/eZ5DlaYEQQt+89YkKR3uPfO5Z/JoumNbTt59VQd\nHllkapSBH9y+8ornmTimgCdCgzlw8izJMXFMm+AXLHExsTxy6z14PO5PzBnVaLT8aO54/r77KAOS\nSGZAHNHVLrQaLVNvvJsX39/K681WHPogktZtJls2YTTo+NptCzCbh0d92zvaqW9pISctncDAQB6Y\nlsULH2yj4Cb/629ZrSVokv+VuVOW+fOmTfzi9tuZyEQiIgI5cvw07x/aQX1rG202B3qXBqcuFdnn\nQm5upXPfPkwpKWjb2gnq6kHev4XUcBGpYiuWrLmEyR2E52bQUbN38P7FJUSy6PoJg2v0amXOVVWQ\nmT4UYTSKw+2XTB/bNhiM/PKGxbxWvAcvAnOKRnK8ooyXjx5EJUkszM2nKG8Ul+L6mcvo6+vF7XYT\nnheBy+XijU3PMXJWKm6XhdfWP8ctS+6+5DMvqyyjqqGK0IAQJo+boviUKigoKCh8JV/r6/V6env9\nSXofRk+vJoo4/QiSJFHV4BgUCbKg551tJ6m3uVg6OZ+xo668Gru+qYm/nu3CGjUSgDedVjJ27GL5\n7Osuc+QQGakpZKQO72bU1NTI93/9NL02LamxQfzkwZXExcZc9PjRubk8lZt7wecWi4U3m/pwxWch\nAg2hEVS+uhmxL4GTp5/mb396cNCDc9O+fbzU0ILDHIX55Hq+N3k8C6ZNosfWRg9QdbycPkwEnr9n\ngiDQxVDKQEtbK+tP7ySmKJt04undfQoxyEBabQmLJ4/jxiV/wOVyUldXx2Gbi2NiAxNnjyIsKoz2\nqmZOFu+l0WqhpclAb3ABI0/WkDsqFYdK4MiRMgoLM9m3/zSN3X2ENdYME6f3zyii/f391GvCiPP0\ncu91F1prRZjDeWDZMgC2H9jLAZMOdUI2AP8sPU1mQtIn5g1/dF/xge0ULcpBpVZhDIS0iXCi5Cij\nCy+MhB4uOUyZu5aosQm0dfezdvOb3HT9ygvGKSgoKCgoXEvWrl3LSy+9NOyzn/3sZzz11FMsXLiQ\nvr4+1qxZc1XXoIjTjyCKIqHBKrrP+5jKskyHT8PW7kiOrz3CHwKNZKamXtFcNQ2N9AdEDVqeSvpA\nWnqbLxh34mwZT20+hN0nMCbOxAO3rbhkBM3hcPDt//oL7Y4xCILAiRb47V/e5M+/eeCy65FlmfqG\nejTnK9EdmiEDeEEUQatGEATONYZy5GgJ06b6HRPeqazGk12AGugLCuG1o8f4r/R0Zo+ZzDO73qOu\n24tPkpFlGUEQkCWJuuoqTpSVUZiTw74jh4geOyQYx0zLp+zts8jZqdy87HrA3x71pQN7GBg7FiEt\nlZ2HDzJrgkBUehwTeqDrtIQ3uwAv8OL2jWRU2giwNBI0M5/X3t9LQkYcwUEGRmQO/+UhPzOTl5OS\n6OhoJzw84gLT+49Tb+lGnZwwuO2JiaG6vo7RIy/dgvajSLKEqBpK/dDqtTg9TiRJ4tWNr2HVOMEr\nURifT2V7DVET/DZfAeYgamlCkqTPlDqioKCgoPDvw5fddGXlypWsXDk8WPLII49w1113cdNNN1FR\nUcEDDzzA+vXrr9oalP8JP8aD984lLaIFvVyFl3KENH/ks0uXyMad+zh2qgSn03mZWaAwN5uEvtrB\n7YDeZooyhkdBnU4nv3prD0dVaZRqU1nTZOK1jdsuOeeO/btx68KGidfalv7LrsXr9fL9Pz7DzS8c\n4qand/Py5mJGurqQff7uTp7yUujxh+g1KgcR4aGDx3o+0lFAliTsDgc+n4/oyCi+NXcFGo+MJns0\nPe+/i/XEEfoO7cc3bjbPHPAb7IcEBePoGxicY8BiRexpw9RTS1NzIwBHT5bQm5uDcL5IS18wgbLT\nDUg+idJztdj6+3CfOYLzzFHkmBSaq5rQ6PUkZyZQMCUPc1QoWo+WhLghYfkhOp2OhITEywpTgISQ\nMLwWy+C2urWN1MSkTzhiOEWjJnN8WxmyLOPz+ji1o4bRBePZWrwV05gokidmkzw1l5KuUpw2+/CD\nJaX9qIKCgoLCVxO73T7oUhQWFsbAwMBljvh8KJHTjzF29Ehe/vtI9h85xg/WVePRmQAQXP1s7uhk\nV0svsYf/yX8tW0KE+dKVaiEhofxmyWReKj6KBxVzC+IZPyp/2JiOjnYa5eDBbUkXQHVn2yXn9Pl8\nBIRKWHrPm/zLEqEB7kuO/5A3N29nly8FIViHG1jX3s3vZ6WT09yMzeWjtKGKc94gNOp2ls6LIScn\ne/DYQpOeXQNWPNYBujccoN0Xwh2n/swP75nPqLxsFqQksM7pwB0Rhzp77OAP1IAsIssynQN2Sg8c\nIiInHp8kUX70LN/55gL0Rj27Dm1nkmcaRr0Bb18PmkB/1b4sSVg7u9jy7DpKfAkkzBhHRFMZZl8/\nkt1Oyk2zsHd08e5ru8nMSqCvxcncycsvex8ux9xJU+l8/z3K2tpR+ySuz84jJCT08geex2w2M7do\nJUd270UUVKycvxqtVovNa8dkih4cFxAbSoSop+7IOWILUrE0dJAalKCIUwUFBQWFr2TO6cMPP8wj\njzzCmjVr8Pl8/PrXv76q51PE6SWYVDSG287V897Jc/gQ8PnaMC1chiAItAeHsmZ3Md9ZfnFBZLFY\nqGtsJCM1ld/dc8slzxEZGUWC2E8DsQCIbhupEX6B1tHRyQuvbMTrhQXzxlIwKg+PBMZImUShhoFe\nEbetHX14ICdKy9heUo5ehFVzp9LfbyUqKnowWtjvcCOoTYPn9WoD6bPZ+cZyv8m9dOMNNDc3odPp\niIyMGrbGcRnp7N67l95T7aArQgJqXfC31z7g77/K5p7Fi0g5dIi1Vb3U2QcQjAHIHjfhzn4eeuJ3\ntPRbiM1J5+ypGoJNeuLSEzh5uILxM0aRPj6DU/tOsHTWCuyvvoI4Zyai3ojhVDEL8wPYtr+bKTEe\neo9vYdXds9EZdEiSxNon3yYkKxOnOgzHoS6+d+9DX5gH6KrrF1/RuNa2ZkpK94MAIzKKSIxPBvwC\ndf7MpcPGxoRE09jaTXCM34Krv7qL5bNXUWgb4HTZKbLjRpE+OuMLWb+CgoKCgsIXTVxcHM8999w1\nO5/q5z//+c+v2dm+QOz2y0cMPy9FI3O4ecYo5hcksNPjhfN2SIIgEDfQy6SPRBg/ZNu+Q3z31WJe\nr3KxY/9hciKNREdcPMKqVqvJCNPTWnWGQFcXMa4axKAgOtta+Pkv/8mRM4FU1EocOHiSwvxIrI4B\nGtMzsPd14DVI6NPisLS1s61NzRFNIidae1lbvJe1bR52HD5GepCWmIgIzMFG9h06jFVnRpZlMu3l\nfPvG69FqtYPXExwcjMk03Ny+ta2NZ95cBzOvo/dsGz7fUBW/SehnxdxxAKTEx7Nw0kTk6lK8DVW4\nSo9gN6khIpT0WdPpOHmG5Lx00qaMISQpAaegwdbUjDkqlGPFZ+ixOPn2TTdTvOYPZErNTB+XSGxa\nAv39dlLHj0LvdZKSnTi4VsntRmWzEBMZgD5AoLO5k/Tka+cDauntYc/JdYydm0R0qomSk0cJ1sUQ\nEDDUWeToXlO2uQAAIABJREFUiX0cK99GVUMJKlmD3q6lva4FW30Ps/KnEREeicloIiUplbBQ8zVb\n+ydhMumuyfdK4YtBeV7/OijP6l8Hk+nz+VV/Efz+rx8A8lX9893/mHntLugzoEROL8G2Aweo7exm\nZGI840eNItfZz2mPG1GjRddQzbSctIse92LxabqDsxCAJsJ4buth/nQREfsho/NH8Pf8ETzy7Evs\nMc+kVqNla0sbNpca8fxr3m6rmd17TnDvXct44de/wJWQin6MvwLcowuis8v/ZRIGOvDmTwOgkXie\nLj7O33JzSY5P4H9un8W7e4/hsPWTm51Mn9V6yS5XADU1dXz3/71IU69E2ohmDJFqXHUOBLUB2ecm\nL/HCY/u6mqjoaEcVG48xJBCvOYyO8ipCs7MwBA39qAVGRtBzvJY97+xmW7PMbkcla3fuoLw/nmlJ\nweSdjyLecONE3l5/kt7uvsGCK4Cetm4mLZqE3qj3X+u5ZmrrakhJvrJitc/LiVOHKJqVObg9enoG\nZz44TlTUQgCamhuwa2qYMNffLaq1vhu5O5HZU+Zck/UpKCgoKCj8K6OI04vw9LvrWUcQclACGytb\nubu3l0dW3cYbO7bT7/EwMT+bgpycix7rkoRP3P4Qr9fLzgPFeLxepo+bxBmngHDet1QwRyPG6qDG\nP1aWPQQF6tFotMzPzeP9uCFhZMjOQ7VlP96Q2MGCog+xy0PnzkhJZoKll8f2lbK+K5CwN/fw8JhE\n5k2awMVY+84HNHT4bZLqXzpAUG4gJu1RZKeGwuRIfvCtBwfHHj9+mqdeX0NbcgL66/yvxW2Ntaht\ndhwDdlSyl54+O6Hx/rxLS20DBkc/85YU0f1SMUK0jEUfgv5gGcGhkwfnFQQBjUbEJ8Oe9/YQFBKI\ny+mip6N7UJgChEWH0NXQcc3EaVBgKH3dHYRF+vOFB/rs6LTGwf3VNeVkTo0b3I5JMnOqsuWarE1B\nQUFB4V+br2LO6bVGEacXYX9XP3Kqv0rbEx7D7qZylmo0rJp//WWPnZgQSEPrAJIuAK2jm6l5kReM\n8fl8/OmN52FMJiqNjpJ312CQNIM96AFURi9esQUkNUHhXdy88n4AJhWOZktpFcT4K9Nlaz+JjnZq\ne1sR+7rA3g/GIESHlTHm4RXq/zxyls6oHATAEpXOqyfOXFKc8pHiHLclgq69nUQ8sBBVSBi17U2U\nVlWRn5VFVXUNj/72fUzJMmQN+YhqE1KwntiLydOPpbwTfD70VjeiwUtWUjDjb/JHeOOSo4kbX4Dk\n8+Hr7+XE2TZGjExGq9NweF8prVUNhJuDcbvcyD4fE+eNZ5fNwbnjFWSO9r/KrzxQw00zv3bZZ/NF\nMaZgPO9u+SeBsRZUKoGuWokVC+8c3J+RnkvFqZ2MGONPRWiq6SIq4uKRdgUFBQUFBYXhKOL0IqgY\n7jGmlq78t5iH7lhJ4pYd1Hd2kpccw7zzfqEf5eDxw0ijUtEZ/NE/06SR5G0/ibv+FD26YGJ6myEh\ngq5RkQT3dvHAlOtRn/cnzc3I4oaaWracLUESRezlZThM0eR4mvjGrXNp6Omlpqee1KgAbp67bNh5\nPbLwse0LncQ279zHaztOM2B3ExRYQ19/CgJOdLl6VCH+nNP+ASdPvrSOqYV5uGwOOiwaEiLt0NkM\nSf6ors/aR19tPY4Jc5DC7CzwWnh49Z089+qT9Hf1cfpYJQ21HQSN8DsYiCoVpgA94VOm8cTftqIW\nfESF6EjNTiA+NZbudguo1FSeqsJpdRPQH86ml/fS7ZUYMJjx7tjCfUtWXPFz+jwIgsAN81fR1dWJ\nzycRmRs5rNI+Niaejs5MDm4tRRQFgrXxTJl4ZV6pCgoKCgr/t1Eip4o4vSjLslJ4trYKe0Q8Ia21\n3Dj2yjtDCYLAjfNnf+IYWZKHRSYBshLjeWjqTA4cPkbxsT6QJO5NiqRo+fwLckNXzZvPzV4vd/y/\n39CQPRfRGEgn8Pudh3ntoXsu2VZsVkokFY0dOIMi0Qz0MD1+eOej5pYW/rjuLL2aRBBBlRjBwshW\nEuMT2KgPwgM4SkuxH+vlpC6bk9tsjNCeQfIM0FqTTrTpMN6OFryIOPsHMMy/1W/M336Cu25ZQmnF\nWaSYIOILCuhu6eTI6VMsnjHj/D2R6BeMbPnH6wRoBfSOflLicomMDGWgpx+NRkVLUxetDe2kRWWj\nNobSlj8ZdUAAJuBkdzeHS44zruDCLlBXi/DwiEvuKxg5ngLGX7O1KCgoKCgo/LugiNOLsHDKFPKT\nG6mor2fU2FlEfoII+SyMH13E/tefwzshF5VajXX/KeYsuoW2ji7+9MYpOrz+fMUztSX8NTfnooVL\n3d1dVElGRONQhXiT1kxPTw9RUVEXjAe4Zd5sYo4c5UxDExlZEcydPFxEl1fWYBHMg7b7Pk0w0fE6\n7rtzOZHFxWytPUvlmSoE3fl+8yodTW4zASYHTimQ5pNZyCeceEyt6AvNCM31SH09rE6NIjQ0jPcP\nbyV+gv/1dnhcJJkjk/nglQ1oTCb67R5CBBeTp6TRVN/O8q8tRW/QUX+uCfDQXNtGY307qWmxTC2c\nxYHSUtRhQ21b1aGhtLd3fcYn4qe+oYay6lOoRS0zJs8djFYrKCgoKChcO5TIqdIh6hIkxicwZ/KU\nL1yYAqhUKr5z02qyGu0kV/fy4KJbCQoKZtf+44PCFKDJFc/ufUcuOocoiohuN5LLMfiZsbeFsLBL\nm8b7fD6mjhnNt1YsYe7kC9MNRo3IJlLsHNzWe3vIy4gHYOm0aTx5521MTB/eMUmUXRgS1ciyF0EQ\nEEQNos6JJ3MqvRaJsZKdry1YcNH1aHQ6RtywAJtLImniGCaMTqS6spXUjFj0Br8DQVJmPH29Azjt\nTlwDdpztAkkJKYxMTsN2/MTQOs6UMrFgzCWv/XJUVVdwsqWY1OlhRBdpeWPjC196CzkFBQUFBYX/\niyihoSugvLqaQ2UVJISHMXPCJQqIPobT6eS///Yq9V1uIgJEvnffcoxGPXc99icaxGB0gszdRRl8\nbeFQkVVUeDCirxVJ5a/81visxMVc2JITICIikiV5SbxzYh++4GD0jj5+sGAimvMV/x9FlmVefG8t\n9ZINfBIFoXEsnTkfgKfWbeBQuxU9EndNLuAnt07gn1uO4pEErhsVz/RJ44bNtXrFTCr+901qem1o\ntV6SokS0Ny2j7u09ODrd9HfU4cufhlB6DEQ1NWoJWZapa2yiubqbelsHBTPHYOmw0O+UCVKrMYYG\n4bHZObT7KGERwdSX1TNu+qjBPvUdrd3UnWvklhWTwZVJb18vf/hgL/XBUWh3HcI8YOHRW1YRbv7s\nfqEVDafJnu6v9tfqtYRnGGlrayUmJvYzz6mgoKCgoPBpUXJOFXE6SE19A//YsBu7T2RCSjirFs8D\nYN+JEn53rJr+6FTEWgtlzev41oobLjvf7596nU2VIf42oxYZ91/X0uG1UBk/HsEUght4sqKWosxz\n5GT4i4iunz2DktIX2XmqC1GQWTAhiknjiy55jp/ccxvTDh+lw2Jh5oRxhIaEXHTcroN76UwOIzTE\nH/U8U9dMTtU5ShvbeN5iwBfqF2AtO47xyr3LmVg0VLzT1d3NX7dspU8USVCL/MeSpQTHCRhmzEHQ\naKkoO0pSeSWpN12HtaGRsiMmVDFD3Y6aW8vYsH0nf9hdT39AFqpTm9m7r4rs0amEp6VQsf84bWcq\nUNVXsHz1XOKTo3E6XKx/8X2mLJjI/q1H6G7qYP51o+hu1XL9vKk8t2EjTVljUQsCUkwi7b3d9Fgs\npCYOj+peCbIsc7bsDPV1DSRPDEWj9efruh0edNFfvhmzgoKCgoLC/zUUcQp4PG7+3yubqTT5vUuP\nnbEQaCpmycxpbDhzjv5ov9iSAkP5oK6Rb0oSovjJGRFN3R4Ewe87KggCDd0eOrVeBNOQgPSYEzhX\n3zQoTgVB4Cf/uZoHBwYQRQGj0XTRuT9EEASmfoJ4/ZAuay+6uCFLK2NcJA0tTZzr6MdnShxasyGS\n+377N0zmKBbmJ3HDrOk8/t4GKrMKEASBGo+b/hef52xgPOrzEVopZyw9u98iWPKg6R9A7RrA1d2I\nGg+e4ASCnd2sP+bFJftIkA8hjoglsKcBT10V5xpaCAkLIMjTS1paFvHJfh9UvUFHTHwkkrUfjeRl\n2oRcIoInU1g41l9g9bHX7fJFPrsSZFlmzfqXCcwNInVuDm+/sJM5y8bhsDoRegMIC/tqdG5SUFBQ\nUPi/gxI5VcQpAG1tbVR7gwe3PYZQ1uw6yJTR+Rck5YrIw2yDLkWYUUKWJQTBP0NMqBpEI9bWaoQY\nf1GQoe4EExZcaH8UEBCA1+ulvb2dsLDQi76q/zTkpWZy7MBOfFoVYSmJ+OpbKZiyiF7nKeTGXoQA\nv2CWmms4Zy5E0BqpOt5GQuQZ2hAHr1fUaGnqtQ6mHYBf4OlR84eb/T6f//PM/zBivI2IqGDefHUD\nI8eO56Uduxg9MRNBFU5IbyN3PnIDoihSWlLNhjd2serby6ivaBi2ZrfThdPhIkCtRSUnsq+uiT31\nzSwaXcCyqZM58Po6WjJHI3vcFHTVMXrxp/c5PVt2msDcIMyx/vay026dQ8m608yaPIeMWdeuHaqC\ngoKCgoLCEIo4BcxmM5FYaTu/LXtctAQE89PX3uKuSUWUHyynKzodXV8HC5OjLitO954o4aRWi08+\ng9oukBGu4Yf330FXXz+PrHmHzu56tB4bU5OjKK2tIypieNFVZVUN3/7Rn+mz6TFonPziR7cwbdKl\nbYmcTifPbt5EnwSZIUGsuG7WsDXWtjahCQsjNDmezhOnmWFOItwczrKZ03nizp9gCwpG5eyAoEgE\nVRuyOZkBUzSnquowCzJWjwdHTQWIKgqjIjizcR8DHe2gMyI1VnFjUR6CINDS0szICdFk5Plfr9/3\nwDx+9aNXmHjbUrQmI26bjWkFgYNR56bqZtJSo6k6fJqgICOb1mwlOSeZ3p4Bjp/pIDd2Kkuuv4Ef\nv/UezZmjEQSBIzv285t50/n9rcvZfOAAeo2GRavvQPWx7lhXgsPpQBc89OpepVYRFxdPRroiTBUU\nFBQUvhyUyKkiTgEwGk08NG8Uv3l7F/2iEY3OQ8C06dT0dBKo1/PEkmnsKzlJWmE8Y/LyLzvfmiNn\n6E0dhS7Vb7lkbD9LfGwM8bExvPerH/HGtu080+ZlX2gUh6q6qOvYxF2Lhiraf/Dzf2C15aMSNbi8\nEo/+5iVeeDIKo9FIS3sHGakpw175/2bt65yNjMddU8Gh7k62nSzh9/d9Y9CC6kh7PcHnvVqjxxVS\nU1IF+F0DUsI1mCdG0dquQj1qPJLXS1PxIXymVLITk5kQnMV3X3kdefwsZLcLa2sFIdl5dCT5C6XE\n8DQiU/zC0OGwYwocaisqiiKqACPl+09iSEjCa+kiMspLSqbfAcBld5KYGM68xUOpCU/9aT01DT20\nB2YzcdxUNu3eRXNq/qDY7kkZwY4TJ7hr0SJuuYKOXZ9EQX4hz7/7LFlzclGpVZzbU86CwoWfa04F\nBQUFBQWFz4ciTs8THhpESKgap1aLStCAIKC39xMeGkpERCQ3zY+5/CTncSN8bHt4csCuhk7cUdkA\neIPC2d18lrs+sr/fqkYQ/YU5Xl0rzrxRrHinBLHuDN7gdFLV+/nFTdMZkZWFJEnUocJdU0HExEn+\n80kSf39/A99beQvgz8n8KE6vmx2Hj/DCkTOYRoTiFXzoJlyHqPWnDyTOGYdx+zbGFSzh6799DHnK\nAkSVCvRGSsjCW7EROF/FbwqlqrMJgJiYOPZv3k5krBm1Rs3eXafxBZmJmTckvPesf5sA03H6O3oI\nCQvEYBieshAcbOTB703n/bdLADBqNHgP7UEdHIzP6YSEbAIDP1+aw4doNFruWLiaD/ZvQ0JmQeFC\noqOu/DkrKCgoKCh80cgoNoaKOAVcLhe/236ArvwZqAFpoA/f3i3cNL6QiIjIyx7/UfYcOYqxqxXB\npUZOzERt7WFyVNCwMRe0R/3YdkSoSEOHDLIHb1YIQtYYZMBrjodT+6mPK+Tr/3iTVVPy+ObypZh8\nXvr1Q6+nBVHE8pEpIzwinZ3dBESYaSuvo+ZwDQfaRHoSR5I7cBRJkhA+0lVKpTfQ5HHxm7//hVqP\nD+1Hir8ErZ7CMbHsb6nEHZ4Bfe009Z/hyTWVxCeH0djRyrpHO4kItqIzhxOVGIX7I9cmqFS01LbS\n391Hh1pFTl4iXo8PtUaF1+NDVKuIiAohOzsaSZLY39BA+MxZg4VQnq0buOEHP/xUz+STMBgMLJy1\n5AubT0FBQUFBQeHzoYhToL29jSZD2GC8UwwIZmp6Kqvmzf1U8/z9zfW81KrBHT2NgPZyxjUcZkbB\nCBZMnTVs3MqCbBqPVWKJTCagq5HlI9KG7X/i8Qf5j4f+RHunCyF41ODngiAgq/yPzG0K4x1vACOO\nHOGOwgL++/2NyLK/WEv2+YgQh6KlGlUo2ze2oBOqsYtm3IYcAowmBFGkqcNF0YQUyo7tQz9mMsgy\n7cXFSJOWsGXvdhxxBQTs2Yxx6nyQJIIq95G/bCxnf/c69voTYAjAkBfCwlX+tqGjJmfR9ZdDnKx2\nMTo5gASNg3MuFyqdDp/dRpTGyS33LcTj8bLmL+soP1NPfVUrBqMWjVbNDbfNBMDlEBBFkS6EwVf6\ngiAQlZysdG5SUFBQUPi3Rck5VcQpAJGRUcQ4e2njvOG9w0ZqWPAnH/QxZFlmU1UX7kh/budAVDay\nr4YFU6dcMHbamNGkx8VyvLSMvDHjSE4YMtr3eDycPlPKg/fPZ9KkCXznyefZL/kQRBVyay2CJgDZ\n2o42xIi9s5Pnq04zPjOVv66+i6e3bcWm1REtCnxj8ZAXa4hJj9OUhEvjj65qrG1EdTfSEZlAf9oU\n9u/dS2R/I001DUhhcWhyJ6AymAicvQT3zm0InVXEnF5PaEwEI28YQ3NpFSHxZiZffx19HT04Sk8N\nu77wQC+q8EjOHDxNWlE44y3H6XQKVB05Q/6IaPZsOoDH6yN7VBqjCpIoO1mLtVVDQLCe4/tq8Dhh\nZPp0ACKQaZUkBFFElmW++H5dCgoKCgoKCl8lFHEK6PV6vjd9DM/tP4FdFigI1nHbvAstnq4U2etB\nrj1Lq9yB1+sdFumTJImNW7aya08lpgATCeGRfKiJPR433374N+w94UZAZvakYn736H/y3MatWL0y\nvTRzyG3HLRrw9fvwkMzpuMmc6vNQ8/YW/vs/7rroelbMm8Wxyhco7jWiljwsSdGxcvYSnvlgH05Z\nJC8zlU0NAqbIaBy6SETD+WIrQSAjSiY4JhGVz42nrZnqI15aqlsoXHkD7QcOEByoQR1qYv/uU0yc\nlo/b5aHdI2Jy1jNpZCgqjZpzR8/Qb+ln7qKJjPn/7N13lBTXmfD/b1Xn3BO6J+fMBJgh5ySBACGU\ns+WctPYG7/tbe9f7rrX2a3uD7d21vV7LSZZtZSEJEIicYcjDBGASk3Oe6Zyqfn80GoQBIQuwxFKf\ncziHnrq36lbdnnOeuXXvcxdGF5SNDk+w6aW9VB2qwWFz8LWvfO+KuWO/evda/mvTJgaAOCS+sur6\nFkEpFAqFQvFxpoycgiDfohuIDw66PuomXObZ9Zt4rj1CqLoajboIZIk5qQP84J+eRq1WEwqF+O4v\nfszeA36CoSwAHKZ+fvLdh0hPS+XFl9/guz+tggvJ+zX6MRbcl4XdGU++0cLjK1bz5e/9mCohEwBp\npBmhbDGCKBLTf5a3/+pRdLor72okyzI9Pd1otdrL5tF+/Ve/o8rvwzFnFv1796Epmw9qDZozB8nQ\nTjD7nsWIKhHfhJtD63cx6hPJLc2gYmYuepMBgLMHTzHUO8xgcztodZQXxvPZzy3D7fZxdP9ZujoH\niXHYWbxqNmpN9P5+8u0/sHLpLPIzV5CSksHZhjqqW08gqsEsxrBm2bqb0EuKq3E4LB/L3yvFlSn9\ndetQ+urW4XBYPuomEJv3lZt+jZGmn970a1yP99/mSPEneWDJfPSnd6FRFyOIGgSVjiNdTrbu2gfA\n1gO76JZFAsHMyToDbicHDp0EIBgKM9klcojsuzLRLFmIZ0oRx2MsfPunP6HKUIpgcSBYHIjJ5cht\ntQAIvR28+vpmzp9vvaRNExMTdHd3IUkSKSmpV1zg1R4SCGjjGD9TR/yMcsKH30a347csWFpErNM+\nuce9wWpGNjnpaRjE1zc4GZgCJGWnkllexJxHV/P4E/PRaNT86le72Lq7kWF3iHseW8qyVTM4srsK\ngI7zPWQlFVFe/AApKRm43W6quo5QuCyH/EU5mArVHDiy54b0i0KhUCgUtwpZlm76v487JTi9gV7f\nc5AJRz68N3WTIBIJR4BoCqeIHAZpYvKwSnaRnBydSXnfPSuYkh0EWUbAjT0vmYGqalxd3ahtNvac\nOw/q96RRUmsRXMPo976J66yRn/5umK9+/TUqj5wC4NUtO3nouy/x0H/t4env/ZyJiQnGJ8b5yx/9\nirXP/JJP/8svOdPYTLxKQkjOYUKXSveZbgrNIsvWzcPV00MwGJq8nCzL+Ce8LFpWiDTcx2B7z+Sx\n7qYO7ElOYlKTGOgbZeXDS4hEZMqXlDP9rnkc3n8WnV6Le9zNht/t5FzlOOqEfDZXHiEUCnK+pZme\n/j6O763m0Lbj+Lx+xrwjN6ObFAqFQqFQfIwpc05vIBEgp5hw5UHUumJAJktXz113RFMfJdid9Bom\nUBcNEWpshVCQ1QuSWLoomp/UZrPzV0/fy1/++A1ktZ6ezhGMZTOZ6O9i7OAR9HFmwm0HCWUuBCCx\n7zjf/8wq/uHbbzJANF3VsCuGNzcdZdrUQn67r5kxcx4AVXIiT/zDvxNjN1Dn1UEkQvfgEF9vbeOH\nX/8s33nhZSbQkJfopCwlF21aIp7aBvpHxzn++nb0zgQ628aZlmPgrvtmAbM4uP0EJ6rrkRBIqyhG\no9fRW3OWOVPSkWWZeGcMx7YdYc6qeYia6FdtYmSC/PSFvDoUwB2fjhwKUfP87ymNVzPn7oWo1NFX\n/se2HqY8acafre8UCoVCofg4kPn4j2zebEpw+gFFIhFe3rydMW+AxdOmUFKYf1mZR1cs4eDPX6Ju\n9jxCTTXkMcKvv/8Pk/NAm/uHEHJKseSAvCyEHA4xTee75BzdgyOIs+7G4K7FNH0e/o42Im4vvhE3\nC566l5DHS+OBKnpa+/n8mkX0j7rwhEeQZDuicHHP+zMN5xgJX9zSUxBEugNaerXJiNlTAJBHB+g7\ncpK//vZ/4BJiQQwgGDSsXPsoP1r/LIlledjjY+iua6Oqw0hQn8jnF8ZNnnPBihns3lGDYLHRfKQG\n2edh/txcbDFmNv9hJ4UVeXjdfnraeunv6Of5n2wk3ZFPa0DEnVsUPYkockZvpUAenQxMAbRaPQtm\nLb7+jlMoFAqFQnFLUYLTD0CWZb7509+yM5iBoDGz8bVjfHddkBllJZeUs1qt/PwrT/LOgUOYSmew\nYuGCS1agO61mcLvBaEZQa1CPDJAxNeuSc8yeVkJM1W78GpHhXfvxuGIRNBbEQQ8hjxe9zUrZ3fOx\nbdlDTcsAm/rHID8PetsJdyeQGBPh7rsW8R9btyG4J5BsmQiCSGS8G0QJOSl/Mp+rEOMkMXmIwqIE\nUKnRWWxU7TrP85tfYeqDdyIIAokFWYQQiEvN5/zhWmpPjrBwZXREs797kNa2QSLhXpxOKxH3EGeP\nnOHc0TPYYswMdPQjq1Q0Hq0lIss8sPKLFBeX8fMNG5BlGc1AO3OEFvKKLHTU99PfHkNCRhKyLGOQ\njKhUKhQKhUKhuJ3cCnNCbzYlOL2KfYeP0dzeQ/mUXDLTkqkc1SDYoyOgI5YMtpw4d1lwCmA0mnjg\nKsn71yxazLmXX+FIn4QoRViVFEtpYdElZTLT0vinVaV857kXGdUXIcYkACAlL6T54BlK1sxFlmVy\nrRY2nRvHkmLAtmIh4fFSpO3v8OOvfpnNlYfoSp2BNt+Ce+MbYEkBSwyqxDxUXbWEM8oB0Ex0Ub58\nKqLfjUanIa1iCvZEOz3HzpD2nnmzRouRmhPn0FlNNLgjtP9yJwazjnNVTah0WlKcZlReAVEr8tjn\nV6HVadmz+SidLb0IAsxbUsJEVxzFxWUAPLpkMbWvrSfZOs7Dj04HoHxmLhueP4SvywdBgbvnKbs2\nKRQKhUJxO1KC0yv4zcsbea7STUhjx3z0JF9a3oNGDl9SRitcpfL7EASB/++xR/H7/ahUIhrNlfeI\nXzizgh/oNXz+9zWX1I30jeA+XYc9KHHfvCVsbtyI/cKrb409hmBpKbExVlr8MoIzusjKuOpugod2\nk66KoBlzobd56e0YQWezUZCpo2hOMS3HqjGZTfjdHuLSHOzdECT1fA9JOclIkQi1lY00p90Hsoz2\n6NsI453EOGOwaLXcdd88ckujO1zV7D1OOCRhMIosXzuHn/6/F1m9dgYnj7by9FMXc7DabXZ++OQT\nvLX3l5fcd3p6KncvfupPf7AKhUKhUPwvoYycKsHpFW2v6iakyQDArXawp7qTB4vj+UN9N36dnbxg\nG5989L4PfX69Xv++x3/04utsavcijzSCMQ5BpSHR38p3P/sJ8rIzES/slpRqkC7Zt15zYdGRTaNC\nco0hdzWAWo3JKJOlNrBvwk9avJGFxUYyF5RP1pPCEYa7enEWZnPg1V30J9/Jxp1dOA734m1roK/k\nYURBAEHAJxhISozDrIUYUYVv3EUkHEGlVpE7vZiWxnamzozOx/V5/ezZXscT9//FZflX9Xo92oiN\nYCCEVqdhYtSNJnJz88v5/X5e2LEVHzJTU1JZWDHzpl5PoVAoFArFn04JTq9AJVy6L4FKhC89vI5l\nzefpHRhg5rRPYDSabsq1D504wavDJsIJ6cjxuQgNx1gcJ/D05+4lJytjspwgCHxl1XL+9fBB1DPn\nI7uTWKqiAAAgAElEQVRdLNCA3R7D2tJC9r+5Bf2SNQBEOmI59M5OtGsfYtBs5lTDdtzBoxQtms5Q\nWzf1NR1EYhJoeLOajnYNQpoejzqHmJG9TClNINO7k6pGNWHPMFk5TpJL5lNmcVFcnkswEOTYtkrm\nrJ5PX2s3OU4zkiTx+nPbmT1tCV/54lcYGfFe8V7XrniMXQc2IYsh9GorK5bee8Vyf6pQKITb7cZu\ntyNcmJ4gyzL/8uoL9JaWIarV1PT0ED5WydJZc2/INRUKhUKhuDGUkVMlOL2C+xYW8PPtHbjUDuKl\nXh5aFh1lzM/NIT8357rOLUkSLS0t6HRa0tLSLzveMzBMyBCDAAgqNUyZR0nswCWBKUBNQwPP1p9H\nyinEfXgv07Xwta/8Jcdqa/i3fQdQl0yfLKtKz0GKOYzaakMQBIamrGbAPYZx/QnUOgNdU9aBLCHo\njaiGK7GMn0cb6mHtJ+dgsEVHM62b93KsyYAjPxtt+xmKP7EMAK1OizPFyYl3DpLktPL2K0dw+WTi\n8ypQqfT09fej1Vx5RFSj0XDXsvuv63n+scNVx9jbWotgNaIedPH5VQ9ht8fgcrnoMpvRXNhKVpWc\nTFVLC0tv6NUVCoVCoVBcLyU4vYIH1yynJK+JM43nyc2Yy87jZzl0poXV86ZSVlRwzfqhUAiVSnXJ\nSv1IJILH4+afvvPf7DkyjEolc/9dOXzz609Pju4BLJk9g5d+s4mOuGi6p8SRRpbceXlKpU01tbiy\ni9AAmrlLaG+oIRKJ8OLxU4SKphFp70QdnwiAHAoiJjgIVh1CV7EAAMdIF595+DHO9/RwcNd+EEIk\nqHxoNGG0XhXaWP9kYAqQXJwL+9+gyJCJnGxDluXJdnsnPBgI03auja4BF1lPfRaNzYoL+OFbr/ON\nBz91yT3eLJIksfd8NXFzoguv5AKZN/Zv5zP3PILBoEfr9/HumLgsy2ilW3LnXoVCoVD8L3aL7ip/\nQynB6VUU5ueRkZbKF77/GxrUBQiCwIE/HOKHn9ZQmJt9xTqyLPO9f/sVh44PoFHDQ+vKePKxtWzZ\nd5hnd9cy0NrCRIsGBAvhCLy2pYM7lp5gzuyLcx8dcXH84OGlvLDvGLIM96+dRVZa2uXXQrjssyzL\ndI6No55iQ6Nqx197HFQqwuNjaHRq9MkO/HX7cIYDfPuxB0lOSOSfN29Fk5PDjDgvafnR0dnmw9UE\nO5vxjk1gtEeT+4+2tDG9LJWi2aW4R8c5tv0YRTMLGesfwaiF3lEXvR19xGbko7NZJ9s1YdLjck1g\ntdquu0+uJRgMIukvLjITBIHIhW+4RqPl7oxsNp49Q9BiwTk4yBPrHrjpbVIoFAqFQvGnUYLT93G8\nqpoGOW1y1G9In8HuY9VXDU7feGsbm/eGkUkC4Dcv1TO9PI+f7T5Dv62IsHoEhMBk+bCkYWj48i06\nszMy+L9PZVz2c4BwOIwoitxVVMCp/Yfoqm1HlgzY8NG5rBdDOMxYdwemKWVoBvrw7d+J1WhGe+ca\nBI0GY24BoYlxxibGkCQJt6BCNdpH2tzSyWvkzC3Dbwrib6pnRFIx3NWPKTgBcjTvqDnGRt78Cva/\nto3ioiQGOwYY6B4k1qLDL6uQQuHJHaF0Xh8mk3my7eu3vYZPHYSgzPKKZaSlXD614cPS6/WY3SGk\nSARRpcI7MEyx1Tl5fPX8RSx0uZiYGCchIRG1Wvn6KxQKheLjRVmtrwSn78vpiEUbaiakjS5+kiNB\nLHoNG/cdYGtjFypkHpk+hQUV0wDoHxhH5uKqdG/ATEN9M2MYABAzChA79iEFYkCWKcmRWLp4/gdq\niyzL/OB//sC+2hFUosy6BZm4ajqQ42Yi6qOv0D/xz78k1yESDNUg9LcTcrmZkZ1FfmoyG4b7iR1p\nxmoxMDrqpi2UxehYH4ViL/2BCB019aSXFQIw3NpOXrqD9JwUAH71/T8Qk2Bl0ZwpdJ1pIrU4D/fw\nGClJdqr2VDF1dj54zMxdMYvG2iEmapoYUEnoIhJPzV88mUz/7d2bsM5MIF4ffUbv7N7KF1K+cP0d\n9R5fXPcEb+zZQlCQybE7uGPBpVMiLBYLFsvNzQqgUCgUCoXiw1OC0wua29o4WHOGlLgY7pwf3eu+\nMC+fR6bU8EZdG0E0FOl7qemJ5eDJesLFCxHUGs4frudXyYkkJyYyZ1YxG7ZtY8IXA0BawjhLljzK\n22df5rQsI1riMU8vpjzUR25mKp984l5EUeR0XQ1JjgQSEhLYs/8Im3bXoRLhgVUzmDMzGvhu3r6X\nt6pVSKpMkOH53QO4AxHUKRdfoQdsGbSGu8lZvWpytHf88EG2twxglAYof/COybKVr2/hrgdnsXx2\n9F63vriDpoEBTGYDnu4uUj+7GoDqyjrw+3jgc4+hUonY2/tpOXaC+qpGyqfn0KNTE/YHWffZuzGa\n9PSeD/DpVRdzlTocFgYHXQD4CGDRXwzeRYuGQCBwWZqp62EwGHhi9fW/rvd6Pbyw/S08Khl9WObx\n5ff8WaYmKBQKheL2poycKsEpAMdr6/jW/rMMOXJRNY1T2/E6X3vsQQC++tSDLD1zhjc272SvS4fb\nOR05LoxUdxCxbBGDcdkcrz3DusREKspL+MZfudm2qxqtWuTJxx7Gbo/h359+lJ+t34YnBLPvLGDd\nHdHRws7ubv5u/Ua6HOkYTjayXAywZc844+FoAv36Zw/w04Q4AuEAWyuPIKmmTLY5oIpFFzhFOBJE\nUF2YZ+nqIRQTZGDPTnQ2O1qHk+GIxHjuDHJHj11yz2KsGVv8xWArvyybvDQrjsQ43BN5nD5QRVVV\nO7JrjPkrphMOhVGptKRkJBCfEIMq5KWtsRNBtmBNcOL3BTh9+DxT866+/l0nawgFQmh0GgAkV+iG\nBqY30h+2vUWkIhuDKppT9vc7NvAXDygbBCgUCoVCcbPd1sHpT3/9Am/vPoY7IuMrnIrKARGjje3d\nnXw1FESj0XKiqpbv/GwPA/4kpPAIUrAScfpchKRsGB/CGvEyZc7FhPZLFs3GKwbpGhujd3yYfLKJ\nscfwzc8+etn1f3fgML155aiAoD2OTW+9jjtcNnl8KODkrS07GEg1oplbiHp9J2F1dHFUsraHOQvL\nWH9wA2FzGgIhNAWZOOJk4iui7XHVn8XV0YGsOsvQUCeReSWoNGrCgQDevn6CgSBaXTSw7WjsIikm\nBwcwNDCG1xtkoKWDGXMLmbGglN2bjjD7Qkqt9b98m3AohN8HP/z2swyPDNHT3cXKmUuwWq1czdpl\n9/Dq1lfxij7UERUrKu64atmPmlctY1BFsy0IgoBXrayeVCgUCsXNJyt5Tm/f4PQnv/g9f9jeh2iY\nRyTUgVxbTcRmRZWSgyhLCEI0MHl98zEGA0kIAqg0ccgdTcgVMqLXRaa3l8dmFpOXlTV53l9sfIvd\n1niEpEz2DfYzvHsX9y9bfsU2hATxks8qmxn1yARhIRrgGYQxXITRF5ahB0pX+mk7XEehLQZ/0MXr\n5x3I6YsQXOdRJcWhUUeIm3YxULYUTmGk8jBFZYnoLLkcfXM7BpWEVS8wfUk5R3edwmTS0tc+wLA7\nxOA7NUieSopmF5O3dD6JU0s4t+swtccbWH7PXM5WNXNw+3Fysp1Ut7nxZlcgCALxcQ7i4xzXfOb+\ngB9R9uCMEQm4Arg9439qt/3Z6ELyJemy9OFrVFAoFAqFQnFD3LbB6Ybd9aiM0fmcQkhE8IN8aBea\nlRbuzohFkqJ/uVw2XiZF0A228GSenS/d94nLzlvl8iKkRF+XS44EjrWc42pp5hdmpnK6tZNgQhqB\nplocVg3xid24RkfQqlWsXZpPyBig60KQlDQ1D5NWZo01ia9vbEWIzUAAZFM84d79aJ1l+Pv7MSRF\nswUEx0axOOMwxEbnwCatXkPLa+txmvSkFmaRWhgNqgdGDxH0uihctxpZkmnZf4CMkgCWWBu2lERc\nY24a69ro6+ijpCSVE3X99C3/Ivb66qs+X1mW2bJrPZLORSAQIdtZSldfK7Pvzp/M/3ps21GKC6f9\nWXKgXkl9fQ39Ax0kONMpLCy75Nhjy9fywo4NeLUC+pDMI4tXfSRtVCgUCsXtRZlzehsHpyp1dN5j\neLwZwadGq5qG7PKRf/IABwMm3vpDNbmZetatmUVday2joQTUsos7psXwuXVzSL9C7lEA9R99qdTv\nk+h9+ezZGPXVbDh8mAZHKsGSEoKCQNK5U/znE4+j0+kYGR3hPze/TqQoB3ffMFUbjlOZmoasy5jM\ndCqIKjQBN6buRoZa3BgzUxHUarzd3TjSEi65pj0rlZZzjbx3DXtfWy9lTzyMIAgIKoGkBfNoqKqj\ndG4pUiSC3WEhOU5HTmoRv3t2G20l96Pr62ZFauJV7+3Qsb2kVBiwx0ZTOdUdPUsY4ZKNCXQWNcFg\n8LrmncqyTEPDGSRJoqCgeDIzwLUcPbaL5EwXK+Yk0tTQwrHjw8yaeXG+bG9fFykxGgQEclNKiLHF\nfOg2KhQKhULxQfk6Xvqom/CRu22D0/vvmMJzWwfB50VURUcQBdFAY3OIsCr6ivrEGZkERwP/8Y3V\nVB6vIT21iKWL3n8v9nsL8ni+uR5fQjK2ng4erCh/3/J2s5kWl4/hgXpC7xwG0cZErpWW9jaK8guI\njYklNWDlt88cIyK70T6xDpXBhLztHdDPRRBENBMNzHx8Kd6+HtxdPqQYK7q8KcTMmIVn85t4e3sx\nJCQwVleLPSWZ8a5xtv5hN7OWlzLQ2o3TCFI4gupCbtJIMIRaluk814JJJVF79Bzj6XH0dY8gxKdg\nrTrJ3z36IKWFhVe9L7d/jNTYuMnPydlx1O8dZHRogph4K5Ik4R2KXFdgKkkSb7/zHDPn21GrRN5+\np5I1d332A+UvDYS7yc3PByCvIJG2842Tx7q6O2gaO0XhkkwATh/cT13LDvRCPGtXPnlJgK1QKBQK\nheLGUj3zzDPPfNSN+DC83uB11Z8xrRincZSq07WEpIsjgFK4Dy4Ep4Ig4IgN88QjK5hWWkhWxpVH\nS98rOyWVBQkOigIenpwzm8zUS+tIkkRTcxMulwuDwcDfv7mZ0dJ5aDNy0KSnEGgaItjrJxzsZ0HF\nNERR5LlXNtM3mIKkcaGZXYqgUqFOSyXcepy4YBNTVxQQm5WCNTUF2evGrocxv4znZCWW/FwGDh9C\nLQWJy8pAH2Oj5Wg79d0Rho7t55tfmMeaO0vZ8souNEkphPw+vCePkJegIzPZTNX+0+TkJmIw6nCk\nJnGmSeZ7X/w8g/2d1DedwW6Nw2AwXPYcxkbHcEUGMVuNADSc7GTF/AdpPddLd8sA/U1uViy8/7qC\n0+PHDzBrkY6ERDsWq4HsPCt7dpyhs7uDsfFREhOSr1q3raOanPyLwXNzwzCZ6VMBOHLyANlzL444\nJ6Q5GR8cZMbCDKqOnCczPfdDt/njzGTSXffvleLPR+mvW4fSV7cOk+njmUHmdnPbjpwC3LN6BbmZ\nGXzrX96ks8+Izewl1qnhfG90jqeIj5LCaIDjcrnw+bw4HM5rzpF0Opw4Hc7Lfh4Khfi7Hz/HIU8s\nKjnEYuMgvanZvDsOp7bHoDJBOBLPGxMG9C+tJ9ZiZEAdICQ2og4lE6w8hG7eAkSDicy0OBIcdmKz\nUi5eRJZJKsxh7OWtJDz0EIIoYkpLpXfXLsYHxhhq6cM14SPXCcl6HTuPdTLUN0xmkonTL7/I3MUl\nLPjEPFQXUijFxlkIjlvo6xomxqFmUbGDXQc3kj0/gWS7ifWbf4MZK2lJuSyYvWyyGTPK57L30Dbq\n27vw+UJMyZyDzWZj6fyV191v7wqE/JjM+snPOp2Ghvbj3P+Z5YwMdbFpWxNrVz52xboWQza1pzsp\nmZpK7elObKacyWNxdifDfX3EJdoBGOobJjbWgtGsp62rmg07Q0zJKiAvJ/+G3YtCoVAoFIooQZbl\nWzJHzruJ3W8Et9tNfX0TGRkpmEwmfvyzVxgZCzKlwMknn7yP5194k9+/WoXXLzCjxMgPvv83H2rE\n76VNW/lhgwZBHU3fJEz0kxY7hq94JgARn4fxtyoJh0JIixZjO38YaeYiBJWaUP0pwk1doBIx2QSW\nF+fx+JJ57Dl1lCaHGUN8HIPVNTiS4hBGXajHIwyUX1zkM3i6luYjNcihMDMcPlQ2G9bUZAJuL0a7\nBV3Qy6rV5Wx/eScPfXoFWp2G9c/t4I5Zj3K27QTTV0WDt9aGTtzuAAXlF0cPT+2pIndKBqP1IiuX\n3XPJPb83Cf+N5vG42Xfod6x9IJr/9X9+ugNjgh29QUfIHyQxMY6S5DU4rvCHAkB7+3na2hvJzMgn\nIyPnkmObd73BuNSPL+Amxqxl6Ypp1Fa3cqozRFpFCUMNHUw35zBj6oybcm8fhZvZV4obT+mvW4fS\nV7cOh0PZQfDj4LYeOX2X2WxmxoyLc0O/8X8+M/n/oaFBnnuxClcgFoCDpyP85vn1fPkLj19yDkmS\neHP3HoY9XuZNKaAk7/JRNbc/iKA2XaxjjGGB0U19cxVD3gADZ5sIqhOhpAxBo8UtyZhU0S7SFFZg\nG+hANeHDIBkQkdl79Bh6g4nFAQ0ndhwgwWbENOhiUW4prd3dNHd2YU1LRZYkBqpq0aRlYequI2ww\nMffxdYgXFg9VbdqNJTeNgD9I0exiXn9xH3IEijNmUjyllIb+4wB43D5O7j1Fwawpl96YAM7kWE7t\nP0AgsPLPlljfZDKzYM7j7Ny0h3AkjNpmZeGq2QD4vQEOvF1JUULkqvUzMnIuC0rftWb5/Rw7dYLX\nBhqJHxui/a1aBrqGmHF/dOQ3viCdMyea/lcFpwqFQqFQfBwowSlw8Ngpnt95imBEYF5eHF989N7J\nY8MjI7j9at5dGi8IKlzuIC6Xi9d370MGHlq2mP98YyO7TJmgj2XTvloeb6hnMOIFQWB2Rh6zp1aw\nav5Mtvx6C12WfGRZxtF/gm1SHEGdmVl6gW/9zef5wTuH6PcPkNTbToczfjIVb3hkCF9HGH92Mrp5\nC9kGhM4cxVRYREpjK99/8EkSnRdHCGOMZn74oxewpHbh727Go7GSMNDIos88gKu5aTIwBbDExzLe\n048v3cj4hI87H48GYINdw5ysPkbEJ9DV1sfJEy2kzSynuakDECmYmsPhbUeZUpaDLMuYrWrOnK2m\nonzWTe2v97Ja7Sxdch/9/X0IQwFCwRA+bwCLzUTQryIh4eoZBa4lLSkZzcB5wqVzCckyGu/RSwso\n2T4UCoVCobjhbtsFUe8aGxvla7/eSasqmyHs1PYFcEoDFGRnAmCzWjl69BB9w1oEQcBmnODJh2bx\n3bd3s8WYx4mwmSO7t9EQEgg7o4ufguYYWs6eIH5JOUFnDMfOnmHbC7uIsRh5bPl0NINN5NLPWbUZ\nd+Y0gpY4WtR2tO3VpCfHUBCj4W/vW0N4pI/GEReRSAR75W7GghZ0q5ZNznkVHSlIrWcJFFUQOldF\nRX4ekiTx4/95iY3bq+nubcEjmwiMDRFjCpIQowVJIhwMY4+3odFro6mYDpwg2NeDb2iY0sUVaLTR\nNFsmq5HexgGWzLqLjdu2MfveRdji7aTmZ1BXWYt/aIi2xk7inHbOnmggLd2JWZWKx+3B7XYxPj6G\n0xmH33/zM9jr9Xo2v7OBsXEXfn+QEwfqyE4oIy/76hkFrsViseDr6aelqZHg0DB0DaKz6dFZjPSf\nPs+CnOk4PsDmA7cKZdHGrUXpr1uH0le3DmVB1MfDbT9y2tjSxgDxkzlDw1orzd1Dk8c1Gi3/+a9/\nya9++ya+gMTyRQvpHBvmbHLF5C5SDakzsJzeAjnTJuuprEbcA0PIkkTc1CJ2b9hBzbOn+dZfavmb\nJ+/nRHU1b50YupirVKNjd2s/cWXlSJEIlc/+nE/Om8//TEuho6eHd5Lt9PUNIHlcqMzRHaRkvwdB\nrSbm3G7cGRZ+/M7zDNQOsu94IqGYCVj5aQRJQnfgHLkFmRSvWoIsSTTtOUT9yXOExsYQAz50nlHS\nM+Lobu2nrbadKXOLABjpGyXe5sRujyE55dKsA3qjgciEgXRnFkaNSF5BGuerJugyHyUxP5aBpj5s\nQoizjWbmzXoEq9V2Xf108nQl3SN1qNQCQsDKqjseumRhWigUJDHdyfSlxQDklWbTuGfguq4JcPei\n5ayWJCKRMBqNlnMNZ+k418Xi8pU4HQnXPoFCoVAoFIo/yW0fnBbkZJHIcfqJBk+a4DgOs5q//uef\n0z8RISNOzTe/+jh/+1efIhwOo9FoeHPHToiEQYwubCISZlq8mdqhLoKWeOLaa/BODLA75EQWVMSP\n7yLo0yBJsRw71cyiBbMozs8nd9cxzlumA6DqOoe+qBApEqHjxdcImxP41sFzlGhO4jHH0VO6HEOO\nC9/2DehmzUcQQG46idMUYPUX1qG+MNrpk2uRDvdByVQI+rGOVmGO11G8agkAgiiSNX8WdW9sxqwT\nmT7FgRCJoaulh7zMmRTYyji35yyCCuyqeGYvnQeAZziIa9SFJcaCz+PD2y/z5c99kUgkwvmWJnRa\nPb32wxQuSwcgOTOR03tO8tQDhWzbsI3lSx++5LmHw2G8Xi8Wi+Wa2Q+GhgcZjdQzd2V0Hu/YsJvD\nR/cwf87F7AAulwt7gnXys0olIt6gb7coiogX+rqoYApFBVOuUUOhUCgUCsWHddsHpzabnb9/YBbP\n7zgZnXNaGs/Rmm5ODEZTSLV2SvR/+78ZS3LiE9TMMMPd5SUIW7YgT1sEgoBQtZ9HnlrD5y0mOnp6\nkWLzeKY1F9kc3VVo0OpAOHkAlRwmxmaio7ubf39nOz5NGPWB3yPGOhH8bjRTV9L1+lsEExYgGCyE\nfBNUd+zDtGoZAiCYbRhmzOZrySo8oSDviInYLLrJwBQgNsNJZuEZ9HKQntNtmEwaktPjiYRCqDTR\nckG3B6dJIDgxweIVK3nxZxvJSZnFw/dFF3nNYM7k+SKRCFv2bqVucJDdrw5gc8QyFlThUCcgCAJq\ntZqC/OhIa9X5ykuerahRI8syas2lweeBk0fY2XoG2aTHNOrlL+55DLPZfNU+6u7pJD03HoCmc530\ndo/Q1+JlZsUCtNpo0Bgf72CwcoKsIglRFOlpHSDBfu28tAqFQqFQKD5ebvs5pwBpyYncvaCCdYvK\nqSgu4DdvVeKSojkuBUFgyNXLeMUifFYnzSobI1UH6Eycj9zZjDwyAmkV5DHE8nlzyM3IoKaxmQMR\n2+Rrf0GtQWrcjyZ+lGmFKexqPk9z7lQ8I8PoS2djKCxDm13E+O538IwIiMnReZKCRoc83Io27+JI\nXdg1RqYYpN83iic1FTQ6tL5xLLE2ZFnmzO4jlK+ai1YjkJgST3BwgCWffpD63ZVoLBZ8I2NMVJ/A\noAaDSqLueD1OczafeOxzV3w2v9/0IpGSeHLKc0l0mJBa65mRaWCos4eVsxdfMuo51D+IOzKKyWYk\n4A8w2tKBVtTgHrXS3Hqa1raz6DRmXqs9im1mKXpHHGKqk9ZjJykvKL5q/xgNJk7XHsXtceMKShTO\nKCKjOImdW3ZTWlgR3XZVEMhMLuDEwWqGO1zYhVRmls+77u/G7USZF3drUfrr1qH01a1DmXP68XBb\nj5zKssxvN23l/JiXVLOWT69Zwb++8gqDvgFkVTqCICDLEUJagXfXtgsaHQ2DY8jBdsSkaBBpdXcz\nreBiTtE75s7itd+spyU5OgdVqtmHZdl8DHlTWN9aj3NsEDJBCoXRXNizXRBFxIQ05P62S9oY8YYI\nnNiHdvoiZJ+bcONpOqaVkWo0EujrJXbGLBqaG2ltPclgbQNFC6dRfX4UQ+5UPC3NaCwWEGD6XfMZ\nON/BeO8AVo1MOCWf0WOVTMsu4VOPf+Wqz2hMHSTVEP1ljUt2ImUmsnZ1KfNmjHP0xAHmzFw0WXbh\nnGUcr6qkqbmD7o5WCnOzCEyk4ZOqWbYm+qx2vP02gXenQ1y475CK92W1WslLXMCOo29yx2MLAFBr\n1MRmGRgZGSYuLn6y3D13Xpw+8IdtW9nbF50/vDTJwRMrrr4BQFX1EQbHOpHCIkvmr0Gv1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2gvKa45dNTuOiovnFyhvZfyqfQLOZxXeupaquhleOHcQeFYGqo4uVyemfpXkFQRAEQRA+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\nz+iaTU6PnjjN9t0FlBa3Ikn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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sapm_other_scatter(tmy_data.DryBulb, tmy_data.GHI, clabel='Temperature (deg C)', xlabel='GHI (W/m**2)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, we will assume that the SAPM model is representative of the real world performance so that we can use scipy's optimization routine to derive simulated PVUSA coefficients. You will need to install scipy to run these functions.\n", - "\n", - "Here's one PVUSA reference:\n", - "\n", - "http://www.nrel.gov/docs/fy09osti/45376.pdf\n" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def pvusa(pvusa_data, a, b, c, d):\n", - " \"\"\"\n", - " Calculates system power according to the PVUSA equation\n", - " \n", - " P = I * (a + b*I + c*W + d*T)\n", - " \n", - " where\n", - " P is the output power,\n", - " I is the plane of array irradiance,\n", - " W is the wind speed, and\n", - " T is the temperature\n", - " \n", - " Parameters\n", - " ----------\n", - " pvusa_data : pd.DataFrame\n", - " Must contain the columns 'I', 'W', and 'T'\n", - " a : float\n", - " I coefficient\n", - " b : float\n", - " I*I coefficient\n", - " c : float\n", - " I*W coefficient\n", - " d : float\n", - " I*T coefficient\n", - " \n", - " Returns\n", - " -------\n", - " power : pd.Series\n", - " Power calculated using the PVUSA model.\n", - " \"\"\"\n", - " return pvusa_data['I'] * (a + b*pvusa_data['I'] + c*pvusa_data['W'] + d*pvusa_data['T'])" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "from scipy import optimize" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "pvusa_data = pd.DataFrame()\n", - "pvusa_data['I'] = poa_irrad.poa_global\n", - "pvusa_data['W'] = tmy_data.Wspd\n", - "pvusa_data['T'] = tmy_data.DryBulb" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "optimized coefs:\n", - "[ 2.09706292e-01 5.45378922e-06 9.35100724e-04 -1.37507303e-03]\n", - "covariances:\n", - "[[ 1.34031678e-07 -9.74577537e-11 -7.82618534e-09 -2.31707016e-09]\n", - " [ -9.74577537e-11 1.87691716e-13 -7.69298228e-13 -2.50824263e-12]\n", - " [ -7.82618534e-09 -7.69298228e-13 1.25182333e-09 1.91488592e-10]\n", - " [ -2.31707016e-09 -2.50824263e-12 1.91488592e-10 3.76869810e-10]]\n" - ] - } - ], - "source": [ - "popt, pcov = optimize.curve_fit(pvusa, pvusa_data.dropna(), p_acs.sapm.values, p0=(.0001,0.0001,.001,.001))\n", - "print('optimized coefs:\\n{}'.format(popt))\n", - "print('covariances:\\n{}'.format(pcov))" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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1GAx4vV5++tOfkpSUxIMPPgjAxIkT+c///M8ePbbCqYiI9FtWp4vy1au49Uw1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\nBmfXXgrPz8dis+HMz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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "power_pvusa = pvusa(pvusa_data, *popt)\n", - "\n", - "fig, ax = sapm_other_scatter(tmy_data.DryBulb, power_pvusa, clabel='Temperature (deg C)',\n", - " aspect_equal=True, xlabel='PVUSA (W)')\n", - "\n", - "maxmax = max(ax.get_xlim()[1], ax.get_ylim()[1])\n", - "ax.set_ylim(None, maxmax)\n", - "ax.set_xlim(None, maxmax)\n", - "ax.plot(np.arange(maxmax), np.arange(maxmax), 'r')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/docs/tutorials/notebooks/pvsystem.ipynb b/docs/tutorials/pvsystem.ipynb similarity index 100% rename from docs/tutorials/notebooks/pvsystem.ipynb rename to docs/tutorials/pvsystem.ipynb diff --git a/docs/tutorials/python-scripts.tpl b/docs/tutorials/python-scripts.tpl deleted file mode 100644 index ff7b362d39..0000000000 --- a/docs/tutorials/python-scripts.tpl +++ /dev/null @@ -1,6 +0,0 @@ -{%- extends 'python.tpl' -%} -{% block in_prompt %}{% endblock in_prompt %} -{% block input %}{{ cell.source | ipython2python }} -{% endblock input %} -{% block header %}# coding: utf-8 -{% endblock header %} diff --git a/docs/tutorials/requirements.txt b/docs/tutorials/requirements.txt deleted file mode 100644 index 5dd9b8b711..0000000000 --- a/docs/tutorials/requirements.txt +++ /dev/null @@ -1 +0,0 @@ -matplotlib>=1.3 diff --git a/docs/tutorials/notebooks/solarposition.ipynb b/docs/tutorials/solarposition.ipynb similarity index 100% rename from docs/tutorials/notebooks/solarposition.ipynb rename to docs/tutorials/solarposition.ipynb diff --git a/docs/tutorials/test_examples.py b/docs/tutorials/test_examples.py deleted file mode 100644 index 86ada45183..0000000000 --- a/docs/tutorials/test_examples.py +++ /dev/null @@ -1,43 +0,0 @@ -#!/usr/bin/env python -from __future__ import print_function -import contextlib -import glob -import os -import os.path -import sys -try: - from StringIO import StringIO -except ImportError: - from io import StringIO -import traceback - - -@contextlib.contextmanager -def stdoutIO(stdout=None): - old = sys.stdout - if stdout is None: - stdout = StringIO() - sys.stdout = stdout - yield stdout - sys.stdout = old - -# Loop over all scripts, read them in and execute. If *any* exception is raised, -# print it out and print 'FAILED'. If any example fails to run, exit non-zero. -script_dir = os.path.join(os.path.dirname(__file__), 'scripts') -failed_test = False -for fname in glob.glob(os.path.join(script_dir, '*.py')): - with open(fname) as pysource: - print(fname, '....', sep='', end=' ') - try: - code = compile(pysource.read(), fname, 'exec') - with stdoutIO() as s: - exec(code, dict()) - except Exception as e: - traceback.print_exc() - print("Stdout: ", s.getvalue()) - print('FAILED') - failed_test = True - else: - print('OK') - -sys.exit(failed_test) diff --git a/docs/tutorials/notebooks/tmy.ipynb b/docs/tutorials/tmy.ipynb similarity index 100% rename from docs/tutorials/notebooks/tmy.ipynb rename to docs/tutorials/tmy.ipynb diff --git a/docs/tutorials/notebooks/tmy_and_diffuse_irrad_models.ipynb b/docs/tutorials/tmy_and_diffuse_irrad_models.ipynb similarity index 100% rename from docs/tutorials/notebooks/tmy_and_diffuse_irrad_models.ipynb rename to docs/tutorials/tmy_and_diffuse_irrad_models.ipynb diff --git a/docs/tutorials/tmy_to_power.ipynb b/docs/tutorials/tmy_to_power.ipynb new file mode 100644 index 0000000000..609f92ef60 --- /dev/null +++ b/docs/tutorials/tmy_to_power.ipynb @@ -0,0 +1,1897 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# TMY to Power Tutorial\n", + "\n", + "This tutorial will walk through the process of going from TMY data to AC power using the SAPM.\n", + "\n", + "Table of contents:\n", + "1. [Setup](#Setup)\n", + "2. [Load TMY data](#Load-TMY-data)\n", + "2. [Calculate modeling intermediates](#Calculate-modeling-intermediates)\n", + "2. [DC power using SAPM](#DC-power-using-SAPM)\n", + "2. [AC power using SAPM](#AC-power-using-SAPM)\n", + "\n", + "This tutorial has been tested against the following package versions:\n", + "* pvlib 0.2.0\n", + "* Python 2.7.10\n", + "* IPython 3.2\n", + "* pandas 0.16.2\n", + "\n", + "It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0.\n", + "\n", + "Authors:\n", + "* Will Holmgren (@wholmgren), University of Arizona, July 2015\n", + "* Rob Andrews (@Calama-Consulting), Heliolytics, June 2014" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These are just your standard interactive scientific python imports that you'll get very used to using." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# built-in python modules\n", + "import os\n", + "import inspect\n", + "\n", + "# scientific python add-ons\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "# plotting stuff\n", + "# first line makes the plots appear in the notebook\n", + "%matplotlib inline \n", + "import matplotlib.pyplot as plt\n", + "import matplotlib as mpl\n", + "# seaborn makes your plots look better\n", + "try:\n", + " import seaborn as sns\n", + " sns.set(rc={\"figure.figsize\": (12, 6)})\n", + " sns.set_color_codes()\n", + "except ImportError:\n", + " print('We suggest you install seaborn using conda or pip and rerun this cell')\n", + "\n", + "# finally, we import the pvlib library\n", + "import pvlib" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load TMY data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pvlib comes with a couple of TMY files, and we'll use one of them for simplicity. You could also load a file from disk, or specify a url. See this NREL website for a list of TMY files:\n", + "\n", + "http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/by_state_and_city.html" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Find the absolute file path to your pvlib installation\n", + "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))\n", + "\n", + "# absolute path to a data file\n", + "datapath = os.path.join(pvlib_abspath, 'data', '703165TY.csv')\n", + "\n", + "# read tmy data with year values coerced to a single year\n", + "tmy_data, meta = pvlib.tmy.readtmy3(datapath, coerce_year=2015)\n", + "tmy_data.index.name = 'Time'\n", + "\n", + "# TMY data seems to be given as hourly data with time stamp at the end\n", + "# shift the index 30 Minutes back for calculation of sun positions\n", + "tmy_data = tmy_data.shift(freq='-30Min')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The file handling above looks complicated because we're trying to account for the many different ways that people will run this notebook on their systems. You can just put a simple string path into the ``readtmy3`` function if you know where the file is." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look at the imported version of the TMY file." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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    ETRETRNGHIGHISourceGHIUncertaintyDNIDNISourceDNIUncertaintyDHIDHISource...AODAODSourceAODUncertaintyAlbAlbSourceAlbUncertaintyLprecipdepthLprecipquantityLprecipSourceLprecipUncertainty
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    " + ], + "text/plain": [ + " ETR ETRN GHI GHISource GHIUncertainty DNI \\\n", + "Time \n", + "2015-01-01 00:30:00-09:00 0 0 0 1 0 0 \n", + "2015-01-01 01:30:00-09:00 0 0 0 1 0 0 \n", + "2015-01-01 02:30:00-09:00 0 0 0 1 0 0 \n", + "2015-01-01 03:30:00-09:00 0 0 0 1 0 0 \n", + "2015-01-01 04:30:00-09:00 0 0 0 1 0 0 \n", + "\n", + " DNISource DNIUncertainty DHI DHISource \\\n", + "Time \n", + "2015-01-01 00:30:00-09:00 1 0 0 1 \n", + "2015-01-01 01:30:00-09:00 1 0 0 1 \n", + "2015-01-01 02:30:00-09:00 1 0 0 1 \n", + "2015-01-01 03:30:00-09:00 1 0 0 1 \n", + "2015-01-01 04:30:00-09:00 1 0 0 1 \n", + "\n", + " ... AOD AODSource \\\n", + "Time ... \n", + "2015-01-01 00:30:00-09:00 ... 0.051 F \n", + "2015-01-01 01:30:00-09:00 ... 0.051 F \n", + "2015-01-01 02:30:00-09:00 ... 0.051 F \n", + "2015-01-01 03:30:00-09:00 ... 0.051 F \n", + "2015-01-01 04:30:00-09:00 ... 0.051 F \n", + "\n", + " AODUncertainty Alb AlbSource AlbUncertainty \\\n", + "Time \n", + "2015-01-01 00:30:00-09:00 8 0.24 F 8 \n", + "2015-01-01 01:30:00-09:00 8 0.24 F 8 \n", + "2015-01-01 02:30:00-09:00 8 0.24 F 8 \n", + "2015-01-01 03:30:00-09:00 8 0.24 F 8 \n", + "2015-01-01 04:30:00-09:00 8 0.24 F 8 \n", + "\n", + " Lprecipdepth Lprecipquantity LprecipSource \\\n", + "Time \n", + "2015-01-01 00:30:00-09:00 -9900 -9900 ? \n", + "2015-01-01 01:30:00-09:00 -9900 -9900 ? \n", + "2015-01-01 02:30:00-09:00 -9900 -9900 ? \n", + "2015-01-01 03:30:00-09:00 -9900 -9900 ? \n", + "2015-01-01 04:30:00-09:00 -9900 -9900 ? \n", + "\n", + " LprecipUncertainty \n", + "Time \n", + "2015-01-01 00:30:00-09:00 0 \n", + "2015-01-01 01:30:00-09:00 0 \n", + "2015-01-01 02:30:00-09:00 0 \n", + "2015-01-01 03:30:00-09:00 0 \n", + "2015-01-01 04:30:00-09:00 0 \n", + "\n", + "[5 rows x 66 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tmy_data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is a ``pandas DataFrame`` object. It has a lot of great properties that are beyond the scope of our tutorials." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot the GHI data from the TMY file" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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/y0xn6JnCcz8nzy3JuPf5+nwooq1seuCEMUIKJ5fRyWUTg7mY/sY3voGVK1fi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\nAP748k7c/2r2FyRCBWp9oWSuXh3pzzYhWFTLhj1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EtEXhOA7RWFzRNfE4h1hc2TVWQelA\n98rfD+PzIx0A7PEWz3og3HXEq+oTO+8lzBZQqc+G10zVTtMqr9MRC5igPy6rl0t/1ctbXoWVoOh0\na1ewZvR6lisZT6z4SptaD3GOwwsfHMT+413mGURIQmLaojz3l4P42dLPMBiSv1PcHc9uxaKH6xla\npQyWD7RPd51Bd39I4VXO5fV1R7H/hLwtsfVCd5dlxSOpztE8ZM20O1zNOBQOHDPRxJcu9RPrY5c2\nOn62H5v3teGRNV+YbQohAolpi7LtQDsA4EyHX/Y13t6g4tlsIezyoFGMmc6njKu0s3cQgMAmEiY1\np2g/0miUvluom0BKMy1/7wDaewaFT7W203QC9UFSVJNVLTpE10gkIzfQtLYvLkqxTN9lhCnB/yx4\nb6XWgtaoR4QxkJi2OFGT3DYWPrje2Aw1PNDoUZNATT3wDV56Dmh6iXg+Ua46aY6zhGtQao/ffrAd\nPT7+Ly09vhAaW3qMMUoFXee+EG3e32Z43jO+OkH6pHMIPWK0LRvgudoKncvOWFDcEoQUJKYtwmAo\niuf/chBnvBkz0SPguaz5E+wIqCNWsB73xcZFzVmb0O6Z9fXq34+oSqfpTB86+4Kyzr3tqS14Z+MJ\nVfkYzdHTveYaoJMOk7s4VCh8NSs/aMd+MZTJiJmlHSHFdBIkpi3C3xpasGV/G5a9QX5RTsX5+5dl\nM5Di858pBLTqgswdFOUidJWa5NbtOq3KhtauAaz4sFHWuWrLaQYPvrbbXAN0cvNgYAIhB4lY5T99\nyOAvpgQhE9oB0SIEw4kNSwaC8hccOgUXXJpnlOIcB/cI/zwo7p6sZPpLbn7SJ7a0y/f5l2NiLM7h\npb8eQiQWH1pXYCQjfWbQzijxO1f24pueLqsuMhK6Xu1zW9HWNWC2GYZwoLkbl0zwYFRhXtZvqf2P\nxbDW0u5DQX4OvjRmlP6Jj1BoZtoiJD9fZT3wU/7kOA4HTnQjGLaH4DZq0VQoEsNPH1yPjh7rPoTN\nHAeFfHGNhOOy5YlaYbpxb6smIX2itR/dKutkyQsNqvN1GtFYHC/99ZDJVsjtQ2JvmhpyF/zMoT7N\nkcxIEdIA8PCqPcIROhj3nz+8tAN3LN/GNpMRBs1MW4TkQzkWi+NAM3+Is11HvHjy7f2YMnkcbq2a\naqB17NFDdu852ol/mn6RDikxwqABNvMdxj8YYZKPkuLcu2InTrb7mNihlD+/tU/gF1JAStm4t9W0\nvH/ywKeKzhdegKj3zkXK0lMUb526KFOM/vJ0/Gw/vx0M86Sva2wgMW0R4udun3A0jodX7eE957Q3\nAADY2+Ss4O0cOHuE/hohsHjU8glpqWd6c1s/ykoKUFZSYIiIePXjo+wzIZgi1E+YuV4I5KVXiFKC\nPVYfefTcKfXxN/fi8Kn0RcLBcBRr1jfhO9dMxPnjinXLa6RBbh4WQc7D3uo3vdnQ+zY/zPqNzAo/\nLRArPXNGMHXGJBqL494VO1H9xGbV5iml/ouzhuVFGAvLZwPfPEDDoQ4GOdETTk/4xlw71nBfIIzm\ntuwZbr4Z6D3HOrM2gvt452l8tvsMHllNwQ+08P+zd97xUVVpH/9OeplUEpKQBEIgQAi9FxEUUCxr\nd1kFxWUt6y7oivV1EdgXEaUY9VUEZEE6IgoCSu+EkhACBJKQTnrvPZm57x9xxvQ6k7kJ5/v56Ifc\nufee59xyzu+c+5znEWK6g2n0E4v49NLlMeQdNuTjtWhjw37GTUW5Ut0tIbAEOkWhaLiN3X4sksKS\nht2d0nJKtAmPWktjgqyiUtWm8wl0Q5u/dHbCZuedbwL43++v1BLJuYXl/O2zUxwNTGj2eM1xBSUV\nerPxbkCI6Q7kQEAcr6w4TUlZG31Yu/DUdEdVrQtfQqB6FrigWD8+0jpHauLPTtipCQzP6atJvLPm\nApIk1VorcL4J3+6Y5ALeW3uxzWW2P850y/e+G8Nr3o3UeiSa6bQ0Ew+aiGAAN2KyANh1MrrFZXb1\nvlHfCDHdgew9F4dakohLk8dCLH0j3KBro+/Z4SqVmkUbA+v7ayr0s8hJs9vBC/GtOHvNchovqDPF\nVhbIi9zCcioq1VRW6d9vucFnuJlYyQJ5UbOfutsGK3M/PcnRwESger3W3E9PNugyImgesQBRj0iS\nRGxKAT1dbDA1+WPcYmrctjFMl9amOqjc3d5/NbboafWua5Q2E05x37lYjgYl4j//nhaXt/XIbU6H\nJJPYiE90czTlyXG330tB+6ioMpybhb4EmSSJ90KXNLZ49G6j7sTFsaBEXvmTn4Gs6bzoXUxXVlby\n4YcfkpKSQkVFBa+//jp9+vThgw8+wMjICB8fHxYvXoxCoWD37t388MMPmJiY8PrrrzNlyhR9m6dX\ngiIyWPvLLe4Z7MbcR3y1242Nu54sbqhGulyF3OkxYCOdX9y8L9z+gHgAUrKKW3Xutgrpahq/KHfb\nDJFAt2w4GE5kYjtSm7fy64xA0B5CIjP5em/NkJ3iyeps6F1MHzhwAEdHR1auXEl+fj6PP/44vr6+\nLFiwgNGjR7N48WJOnDjB0KFD2bp1Kz///DPl5eU899xzTJgwATMzM32bqDdikqs/lwRHZtQS021G\nxn4T7X317w7hrd8Gsn3CtiYd05A3nbGx7t+icxG0nNDYDgof2v4w00I2Cdh8OKLR9rAtPaM+Qs0e\nuBDPwF4O9HG30/m5uwJ695meMWMGb7zxBgBqtRoTExPCwsIYPXo0APfeey8XLlwgNDSUESNGYGpq\nilKppFevXty+fVvf5rWZ69FZ/H31aZJbOZPXKDIWyh3BXV59naCLcFwdqVnrRuyoWbbwmRYYlBa2\nR1ID++o34YYeTy4Q17cR0nJK2Hs2lmVbg4HqVOh/X32aBJkk4pIDehfTVlZWWFtbU1RUxJtvvsm/\n/vUv1Oo/fDutra0pLCykqKgIGxubWtuLinQ106Z7vj8UQUWlmuNXEhvdRyefqmucorPrTSGY5Y9c\n3CtEpybozOjj+RWvhI6RcSPTFtP0+fWuqs5i3m1HI6moVPPbpTt6K7Oz0SELEFNTU5k3bx6zZs3i\n0UcfZeXKldrfioqKsLW1RalUUlz8xyxvcXExtra2zZ7b2dmm2X3ag1ot8S//04zydeHFhwdqtxsZ\nVStDCwvTRm2wtKx2UTFSKGrt42BvVe8YSwvTRm3Q7KtUmtfb1tT+HYmJsaJeudkNhGhryDYHeytK\nKtVN7tMSlErzBo+tuS3eQJFUnJyU2GSX1NtuiHvVlA0O9laoFIYJ8mNqZqy1xdi8TLvd2dkGUzOx\nVlrQMTg726BUWrRo31KVhKmpca1t5uYmWFk37p54+EoST0zug43V7/1DC59tJyclxZUis2JzODvb\nYGZm3Ow+5ubVfa6JyR/tjiHigzs722BkVLvNtbWz1NqUUyM+elP9RbduSpzsLQFqPb+t7WPMG9A0\nJVV/CHVnZxtMfl/3ZW5ef1859GmGQO89VFZWFnPnzmXx4sWMGzcOAF9fXwIDAxkzZgxnz55l/Pjx\nDBkyBH9/fyoqKigvLycmJgYfH59mz5+ZqV9xVFpeRVxKAXEpBTw02lO7Xa2J7VhW2agNpb8HQZek\n2nbm5pWQaVVbPJc2EXtac2xxcXm9bQ2RkVHQ4em5q1RSPZty8+qLx4bszs0robCwrMl9WkJRM3lf\n0QAAIABJREFUUXmDx9bcVjP2bEeSlVVEQX79xBD6fn5bQq1nM7eEgsLyJvbWHxnZxcTeycbGyozc\nGjZcD0+jpFQkFBB0DJmZheQXtCyJy4drArC2qN2NlpVVUdLEot/dxyNJzSjkrw9Xr6PJbeH7tmHv\nDY4ENv4lVFBNZmYhlc2I4szMQsrLq/sClUqtbQMNIaa/+/k6eUW1n4GC/FKtTTX70czMQqpUajJy\nS1GpJW08aYDs7CKkyuqoTUVFbe9Py2toGkmS+HjLFe3AT3M+lapa/8Qm57Hxl1AeHd8Lxe+ThnLo\n0/RJY4MFvYvptWvXUlhYyDfffMM333wDwL///W+WLVtGZWUlffr0YcaMGSgUCl588UWef/551Go1\nCxYskMXiQ80MdGdConO5hOQWlFNS1nTots7Ogm8CmODnWm/7/vNxBrCmcQz54TMps5g3vzrPxg/u\nr/XJcuGGywa0SnA3IrUiA2dxvbareWepnDYMWIWQ1g+GXtysiaTUUjYcDNNTuvr6SBLEpTYujpMz\ni9mbGYu3my1+vR07xCa5oncxvXDhQhYuXFhv+9atW+tte/bZZ3n22Wf1bVLraOY968j3sMWzzQZQ\n0+0pbs2+mzqzQ66Ulldx4mpSve37ZCam5eCY+f2hcNJz2pbeWSDQBe3JZi/V+H9j3IrL4UhgAg+O\n6dn2ggTtQnOHavarMmj+mqUxId2xWqT23zVTmd+tCEfEZmh0jqGDxGqbFiIYQE03aGZnaJkEtZDD\nAsSz1xtP/SwQ6JsP11/C+XffU33yw8lofHs51PqELtANbe79DN/8AXXMaHHMc90b39g5Zbx202AI\nMd1OUrKLORaUyLRRHi2eOf7lXBwmxka88cwQ7bbGjqz5MLe0gZDrg65veS8HIdjZkeuzIxB0FGk5\nJaTl1F/v0VJCorLo3kIxXlahwsaqzUUJ7gI6ukm+dCudxIxiBvV2JDGja/s/6xIhppuhOXERnZRP\ndFI+fT3s6O1WO/pIY4fejMvRWfm6OkYfCHHbORF3TSBoO+UVKh0mUBJ0JLLsszrYJAlIyiwiKbPx\nZ1iEua2PYWJgdUFKmvAZauzBa/XChxY/wDJsENqBuj0OjIJWERqb3XHZ4wSCuxxDL34T1EaOt6PF\nAl+GtreEvKJyKn+PY11UWsmhy3coq+h8PthiZroZ6r5cqdnFfHcgjPyiOqGP2vAgqyUJ42aGeDUb\nW2Ojlo19DNEgNFQLXdnR4mx4nbQxMSTmZsYcC/ojSsCvF0UQfoGgIxGC2rDIcZK15jPRlR+PkrIq\nFnwdgIezNf/7t7FsPXKboIgM8goreG5a86GRO4L4tAKSM4uZONityf26vJhWSxL5RRU42Jg3v3ML\n2H4sssHEH02NHtVSw7FE1WoJI4XEmr03CY7MbPDYmmfVBEpvji787gl0THmFip0nogxthkAgEAju\nMop+z6+RlFmdsC89t3qtQmZe49Gc1GqJE8FJjOzvjKNty5IrtYf//f4KAMN9nLBqIrlelxfT3x+K\n4PyNVBa/NJperm3JzNPuGEmUllfx9jcB9X6uUklUVlU1KqTrFm9i3EKvHLmq6TY6WnXlkblAILh7\nEW2bnuhCfU1Lv1zU3Evfs+26SgpnWkPTHL+SSP7vyY4a+hqtliS+/imUsooqIhLyOBmSzPJXx+nE\njpZQXqnGqgnt3uV9ps/fqA6zFX4nt03H172ljT5Cv+9YUlbV4ixKktS87m1LNI8Wu0XoEBm2QQKB\nQCBrRLtpQDrJxbdoYbr5zkjNnHg7jkdp3Wc1EuZEcBJrf7mJJElk55dxLTqLiIQ8ANLbEXGnLajU\n6iZ/7/JiWkNlVdvShNbTpY2MyDS7zfviLG98ee73bU2/rWUVVVrH+xaVL0fnrlagVkt8vvtai/bN\nyC3h3PWU3/9q/ci8JsVllVSpmr7OAoFA0OHIcSr0rkZ+98PEpIVrpfRshz5oLLaAZkJw+7FIAsMz\nqFKpDR5BpLlACF13yFOH1jxoakmipKwKpWXj/jFNUdGMQNbwzpoLze/UAsMlSaqV0lYu7XNDn6du\nxrYsLOCH6y+jliQ8XZS4O1m3y475X5zD3cmapS+Pbdd5BAKBQCB/WqS7GthJJl1n2/pwuXT8OqCu\ndiirUKHqgKheJWWVWJqbNOjG8tOZWLo7WPL3Z4Y1eOxdI6Zb85Z8tecGN2Ky8Z83EeM6fsqNJlfR\n032u7ebRcOk7T0Rx/ErNVNWd/6XSjEyLSitbfG2bakCTs4rbb5RAIBDokM7fUnctOrMebcr0O2mF\n5BSW6awsXU0SN+YPXnfzm1+d11GJjZORV8oHay8ydYQHsx7oV+/3oIjqNO6Nieku5+ZRpVLz1Z4b\nXIvKqrW9Ne/IjZjqOLup2SX1b3ZzTtM6piUvd20hbZgGWm9fYFpRmU7cDgoEgrsQ0WYJmqUtoWHr\ndMj/+T6I//spVGcmNVb09chMopPzW3ycIdZ3NUZMUrXdJ64mNbNnw3Q5MX07IY9r0Vl89dONWtvb\nEstTojWNnX7kZK33o4VFyOj5bDddqCoCgUBQG6lrtdedChlf97ZkYuzQ6jSiRRauu8AnW4Nbfh45\n3YN2SrguJ6brjnQ010dXDVZjrhZ6o03pxOXxhOrCjJZEPGkp/1dngCUQCASGpLJKLRZHywi59J01\naalFcrS9ObrSk9/1faYVVI/+23JsA0quNStKDfVoG6Jc/ZWpuzOH1HH9EQgEAkNS9wuqQHBX0ajP\ndOcbGHS5men6Ls7auenWn6sVRzUosnUxM9umqen2l6sLdGGG1Iqb0BlfQIFAIBDomNZ8QK6xr2x6\nkDZ9kf7j3x3+Bb2NGLrLDo/PITGjSCfn6nJiuu5TqBG5bblpUisOrPvobjkcwaWw9NYXWteGmi9I\nS32m211q69HXq9uauhj6xRQIBAKB/Pl2301uxjcQplWOfUgb1h92NG2dyOqIBYjlTSTRW7nrGos3\nBgLt1zBdUEzXpj1iusHztXC/09dSKC2van5HfSAXVakDO4LCM9h8JKJlxbW7NIFAIBB0dYIiMiiv\naFsit46gzW6pHUR7hKdaLTW7TuBOeiHf/Nz+6CPhd3J5ffUZjl1JbPe5mqPLi2nNbW/TyEmHi9/a\nSk27W/rpxtA2t5fA8D9m9C/eSuPSrRbO8MtlECEQCAQCgxAYnk5FG4VyZ+5BOovt76+9yKsrTwON\nZ0AsLVcRHJnZ7rIuh6UBcOjSneZ3riGvmstM3RBdXkxrZ6bbcKyEVN8Hu4NzWuoiEZKhVou39eVe\n+8utDi1PIBAIBF2Dtb/cIjKp5bGOayHDCZkWWyRBSVkVa/bd1JkfsD7ILqiRPKaDrndrS3lt1WlO\nhyS36pguJ6YbzbHSNjXdcuTgNKw5pMZFOBqYwKsrTxOXWqBDo2SK/NpBgUAgEHQCbsRks+lQy1wK\n9U4b13gdv5LIlYiMDnFr0AW60tKNTxi2XZj9ejG+Vft3CTEdk5xPanZ1uui690Yzk9ymqBjUdw/p\n4Inpdkeo+PlsLPBHKkx90ZCVHa1thZYWCAQCQVv44sfr2uzHnRFJkqjssK/QuhFCuliAuOd0DK+u\nPE1WXmnjO7WhGCOj1tWxS8SZXvZ7xp2NH9xf/8f2RvMwMLVsaEsGRG399VsbOQTiEaHxBAKBQNAa\nkjOLWX+gba6F+qLm5F9LAxmoGnNA7gDUktSsMA6NzeZatO5zPfz2uz/07cQ8nOwta/3WGjffumvS\njIxaN9fcJcR0LepcNaP2iOlWHKOvuI5tGwTUX7Sob52przjbraGwtJKopLyOLVQgEAgEnZoWL3I3\nAEcCE1q039LNV/RsSeOs3x/G+v1h2r9vxGTR190eK4s/JKb/7uv1jtOlLtG1xjFSVEceaSldT0zX\noz1uHoZfgEgtYdzCIyRQqdXcistpcFWqPmZwjX6/Lpl5pZRXqvBwVuq8jOY4dTWZU1dbt2hAIBAI\nBAK50pbIEobmix9v4NvLgXefG97kfm11v23puf5YM9d8OXWlXWp2CS+vONXi8ru8mG7PAsTqbOIt\nO1CXD0VdG1p9DHAyOJmdJ6IaPI8+LNU8iO+vvQjAhvfv09s1EQgEAoGgq9KQq2ZnI/xObrP76N0z\nswMnPztsAeL169d54YUXALhz5w7PPfccs2bNYsmSJdqZ0t27d/P0008zc+ZMTp8+3aZy6go4zbW8\nFJbe6tWZDd3nRm+Nnh6KtvhMI0nEpxXWOY9+1XRRaSWRiX+4WKhUQkgLBAKBQNBa5J8aXDf9e0ct\nc+qIYjpETH/33XcsXLiQyspKAJYvX86CBQvYvn07kiRx4sQJMjMz2bp1K7t27eK///0vq1evpqKi\not1la9wyikor+elMbKuOlaQGsrY08lzrzfe/jTPT9QZktbS07o3NK6rg0+1XtX+rG7p2AoFAIBAI\nmqTWuic5aulWUFBSwfeHwhv8zZCBEXRddoeI6V69evH1119rjQ8LC2P06NEA3HvvvVy4cIHQ0FBG\njBiBqakpSqWSXr16cfv27dYX1sz1ac0FbJ0e1JObRxvVdD0tLTX8b33RGsd9gUAgEAgEv9OFus8f\nT0Zz9npqg7/pVIvUOVdNrddQObq+xB3iM/3AAw+QlJSk/btmJa2trSksLKSoqAgbG5ta24uK2p/F\np+6oTqWWMDFuYVpuqb6UbexIfQnUNof0U9Td1rFvZ0PXTiAQCAQCQdNo+s7kzCJyC8sNakt7CbiZ\n1uhv+lIJJWWVzPviXNM76bhogyxArBm/r6ioCFtbW5RKJcXFxdrtxcXF2NraNnsuZ2ebWv+2TS+q\n9bdxnViBDg7WWJi3rNo2tpZ0c7SudT5zC9MG97W1s6xliy7RnNfWJr/etoY4GZJCQGidB9jISHtM\nZZVK90bWwcFRiV1xpd7LEQgEAoGgK6FUmuPsbMPcT0/W2t4WjaFrXeLsbIOJiXG7y3Z2tiGjsH2u\nvDXPb2Njof37WmTtJHUKhaKeLaoaCW4cHa2xs6sdo7q1GERM+/r6EhgYyJgxYzh79izjx49nyJAh\n+Pv7U1FRQXl5OTExMfj4+DR7rszMwlr/zs8vrfV3XbeOzKxCLMxaVu28vBKyLf54aDIzCylvJIB6\nfl5pLVt0hvRHHQsKa9etMY4H1Y9LefJKIrOnVV/PjhDTmZmF5DWVkUggEAgEAkE9CgrLGuzj26Ix\ndK1LMjMLqWqhhsjMLMTDWUlSZn0vg8zMQnJzixs4qnW2aKh5zQrya2sPSZLqXYeaKcgzMgspKChr\nly0dKqY1iwE/+OADPvroIyorK+nTpw8zZsxAoVDw4osv8vzzz6NWq1mwYAFmZmbNnrOuWK7nFlHX\n3aEVU/utWH+ov9B4eojC0SE+0yIboUAgEAgErUfm3afMzauXD6S5tXK6kCsdJqY9PDzYtWsXAF5e\nXmzdurXePs8++yzPPvtsq87b3DVoz0LYutE8EtILKa1oJLVnB/hMt/eGv/1NAO89Pxx7pXn7TtQC\nqhcgyv2VEwgEAoFAXuQVlZOWU2JoMxpH5hN7LYmAUrvs9hvS+ZO21LsGdeNM1x2htP3USzYFNbqv\nvoJXSLX+XbuQkrIqclrxaSK3sJyjQYn8eUpfHVnXOGJmWiAQCASC1rM/IJ79AfEN/mavNCOvqP1h\ng+WAvlRCy3TfHxvVDURAay2dXkw3515Rf4TSmtB4rXHekPQTM7GJ8C6LNwaS3Vo/n1ZkdWwPaqnj\nArILBAKBQHA3UFcoypkDF+Ib9JfWoieR0OqZaR2kxej8YrrGFfjPpiByCmuLyyZylzSLlblpiwWy\n3kLjNfFbq4U0vw8QOkDkZueXUVgionkIBAKBQHA3svds44nyMnJL9DczXUf5NVRO3a/+7Z0M7fRi\nuiZ30uuvWm2Pm4dxC+NRa8/dqr1beM4OTraiK1buDDG0CQKBQCAQ3LWYm7UshJ0hqKxS61TT1BTD\nLZq817G26vRiWp8CszXnvhGTjZGRPj6/1HDz0IFcP3Mthaik/OZ3FAgEAoFAIBsOXohvVRIXOTuE\nSDp2Oa15pvquMM2X014t2enFdHMXqe41bV068Za7RJwPTeV8aMMpM9uDpvxTIcmExeVotyc35YfU\n1PmA5Kz2xXYUCAQCgUDQsfzchNtEQ+jLvVpnEtiQ0TxqFH72ekrTvt0toNOL6ebEbmO+M7mF5ViY\nGWNpboIkSaTnluLiYFlrRCOH4G6SVB0ZY+uR27W2f/TfQANZJBAIBAKBQO6oVBIpMp0806e+qj+J\n2kD5Nbb9cDK63WUaNb+LvGk2znQDs/2VVWre/iaAj/57GYCA0DQ+XH+J41eSau8qySEkhfR7zGaB\nQCAQCASCllFRpWbhhss6PeeBgLg2BT+oS35ROUV6ClJgVHetnF5KqU2nnpkuK286znJGXmk9NX0n\nvZC+7nYA5BRU+x6FRGUCcPZGCtNHe/6xsww0rCSBSohpgUAgEAgEBmbvuTidnOfz3dd1ch4trZRJ\nup4n7dRiet6qU6Q3kSXog7UX622LTyvEu4dtrW11RzEa1DqIPdheJBAz0wKBQCAQCAQ10HgX1ORq\nZCap2XVcW36XUCq1mpyCcpztLdG1uuvUYropId0YrYuzbHg1rfGZFggEAoFAIBBUk5xZ3x/8659D\n623TBJ747kAYgeEZLH5pNE72Fjq1pVOL6bYgSS2f6d1xPOr3EYzhKCmr7DKpQwUCgUAgEAg6Eo2r\nbGB4BgCRSXl0s3PVaRl3oZiWWjzTm1tY3qqYjvpg44FbBi1fIBAIBAKBQM6UV6ooKWt4QWPdCVSV\nSvdf++86Ma2WGo+OkZxZzKpdInOfQCAQCAQCQWfhh5PRjYa4q6v4VGo1+UW6nSi968R0cz7IYfG5\nHWiNQCAQCAQCgUCfrNhxVfvvn87E8tOZ1iXAaY5OH2e6tTjbW1JzYvr8jVTyS4RPskAgEAgEAkFX\nJCIhT6/nv+tmpm2tzJBqqOmNv4Ub0BqBQCAQCAQCQWfmrhPTUUl5FIqZaIFAIBAIBAKBDrjrxPSh\nywmGNkEgEAgEAoFA0EW463ymBQKBQCAQCAQCXSHEtEAgEAgEAoFA0EaEmBYIBAKBQCAQCNqIENMC\ngUAgEAgEAkEbEWJaIBAIBAKBQCBoI0JMCwQCgUAgEAgEbUSIaYFAIBAIBAKBoI3IKs60Wq1myZIl\nREZGYmpqyrJly+jZs6ehzRIIBAKBQCAQCBpEVjPTx48fp7Kykl27dvHOO+/w6aefGtokgUAgEAgE\nAoGgUWQlpq9evcqkSZMAGDp0KDdv3jSwRQKBQCAQCAQCQePIys2jqKgIpVKp/dvY2Bi1Wo2RUcOa\n/8DqxzvKNIFAIBAIBAKBoB6ymplWKpUUFxdr/25KSAsEAoFAIBAIBIZGVkp1xIgRnD17FoBr167R\nv39/A1skEAgEAoFAIBA0jkKSJMnQRmiQJIklS5Zw+/ZtAJYvX07v3r0NbJVAIBAIBAKBQNAwshLT\nAoFAIBAIBAJBZ0JWbh4CgUAgEAgEAkFnQohpgUAgEAgEAoGgjQgxLRAIBAKBQKBDVCoVKpXK0GYI\nOohOI6ZzcnIMbYJeOXLkCMHBwYY2Qyf8+OOP7Nu3z9Bm6I2SkhL2799vaDP0RlxcHKWlpYY2Q+90\n1TYlKSmJ+Ph4Q5uhNyIjI9m2bRtZWVmGNkVv3L59m6NHjxraDL0QEBDAv//9b8rKygxtit7Yvn07\ny5cv75LP6NatW1mzZo2hzZAdshfTFy9eZP78+Vy8eJGuuFby1KlT/OMf/yAoKIhevXoZ2px2cfny\nZV5//XUiIyMZPXq0oc3RCzt37uTvf/87d+7cQa1WG9ocnXL79m0WLFjArl27urSY7qptSlVVFV98\n8QVvvfUWKSkphjZH51RUVLBkyRI+++wzXFxccHJyMrRJOqe8vJxPPvmEZcuWUVVVZWhzdEpubi7v\nvvsuu3fv5vHHH8fCwsLQJumchIQEnnrqKRISEnjttddwcXExtEk6IywsjBdeeIHExEQee+wxQ5sj\nO2SVAbEmarWat99+m5ycHJYsWdIlQ+RJksTnn3/O3LlzefLJJwkKCkKhUNCtWzdDm9Ym1qxZw5Qp\nU/jrX//Kb7/9RlZWFkOHDjW0WTpj165dHDp0iC1btpCSkkJWVhbdu3c3tFk64cqVK/zzn/9k9erV\n3HPPPYY2Ry905TalqKgIf39/VCoVO3fupKioiPLycszNzQ1tms4IDg4mJyeHFStWkJyczJkzZxg8\neDCOjo6GNk0nqNVq1q9fj1qtZsuWLURHRxMTE0OfPn0MbZpOCAoKoqqqii+//JJ9+/axZ88exo0b\nh4eHh6FN0xnJycmMHTuWZ555hj179iBJEhMmTGDYsGGGNq3dHDlyhEmTJvG3v/2NHTt2YG9vz9Sp\nU7GysjK0abLAeMmSJUsMbURDKBQKYmNj6devH3l5eaxbt460tDTs7OxwcHAwtHltRqVSkZiYiL29\nPVVVVSgUCi5dusS2bdtIT0/nwIEDGBkZ4ePjY2hTm0SSJCRJ4ubNmzg5OWFkZISdnR0bNmzg5MmT\nWFhYsHHjRlQqFUOGDDG0uW0mPz+f0tJSLC0tsbS0ZPfu3WRlZbF9+3bOnj1LWFgYQ4cO7fSipaCg\nACsrKyorK/nyyy8JDg4mJiaGESNGGNo0ndEV25T09HSUSiVmZmZcvnwZd3d3fvrpJ3755RfOnz+P\nubk5Xl5ehjazzURGRpKbm4ujoyO5ublERkZy6tQprl+/TlxcHFeuXMHOzg43NzdDm9pmkpKSqKqq\nwsrKitTUVM6fP8+NGzc4ffo0Bw8epLy8HDc3N6ytrQ1taouRJAmFQsGNGzdITEykR48euLm5sWbN\nGk6fPo2pqSkZGRmcPHkSBwcH3N3dDW1yq9HU8fDhwyQkJNC7d28qKio4dOgQAQEB9O/fn6qqKi5c\nuEBFRYXs+/SaaOp2/vx5KisrtQPWL7/8kpCQEFxdXTl16hTx8fG4uLh02vZTl8jKzSMqKgqNtler\n1Xh5eXHq1Clu3brFK6+8Ql5eHjLV/i3mwIEDzJ8/HwBTU1OUSiXm5uYsXbqUpUuX8txzz7FhwwYD\nW9k8CoWCoKAg3n//fdLT0wHw8/NjxIgRvPzyy8ybN48lS5bwww8/UFFRYWBr2877779PUFAQFRUV\n9OnTh3HjxpGSksLmzZv5+OOPSUlJ0SYZ6mwsW7aMn376CQBra2uSkpIICQlh0aJFPP3009y+fZsd\nO3YY2Mr20ZXblPDwcD7//HNu3rwJwLhx49i2bRv33Xcf69evZ8yYMVy+fJnY2FgDW9p2tm3bxq5d\nuwAYMmQIJiYm+Pj4sHr1aj744AP69OnDlStXDGxl20lLS2PFihUEBQUB8MQTT6BSqfDw8OCrr77i\n3XffJTo6utP53ioUCqD6a+W5c+fIzMzEysqKOXPm4OXlxVtvvcX//M//4OLiwp07dwxsbdtQKBRU\nVlby66+/cuzYMW0f4efnx/3338/zzz/Piy++yKBBg0hNTe1UboEKhYKkpCTWrFnDjRs3qKqqYvz4\n8UycOJGpU6fy0ksvsXDhQlJSUrq073trkNXMdGBgIP7+/owcORJPT08qKysxMzPj+eefx8vLi3Hj\nxnHgwAEGDBjQKf3lcnJy+P7777l16xZmZmYMHz4cOzs7+vbtS9++fVEoFDg5OXHnzh1GjBiBmZmZ\noU1uEEmSKCsrY/369YSFhWFlZcWoUaMwMzOjX79++Pj4YGJigqurK5cuXcLPz69TjlyvXr3KunXr\nsLa2pnfv3jg4OODl5cWQIUNwdHREqVRy48YNCgoKOt0MblpaGhs2bCAxMZEHHniAbt26UVJSwtix\nY/Hz88PV1ZWSkhIKCgoYPny4tnPsbHTFNkWtVqNQKNi6dStBQUFYWloyYsQIvLy8MDExYdKkSVha\nWuLq6sr+/fuZNm0aSqXS0Ga3muPHj7Nv3z6MjY0xMTGhb9++eHt7M2jQIJRKJRYWFgQGBuLk5ISv\nr6+hzW0Vmnv4yy+/8Ntvv9GtWzftf/3792fYsGEolUrc3Nz48ccf6du3Lz179jS02a3ixIkT7N+/\nHycnJ+3909RNoVBgYmJCbGwshYWFjBw50tDmthjNvQPYu3cvoaGhODo6kpyczLBhwxg4cCADBw7E\nxMQEExMTTp48iaurKwMHDjSw5S1HrVazceNGIiIisLOzw9LSkh49ejB06FBt3WxtbTl27Bh9+vTp\nUq46bcWgYrq0tBQTExMUCgVpaWkcPHiQQYMGsX37dmbNmoWzszP9+vXD2NgYMzMz4uPjiY6O5umn\nn+4UnXtmZiZnzpzB0tISW1tbsrKyMDc3580332TRokXMnDkTR0dHFAoFR48epbi4mM2bN6NWq3ng\ngQcMbX4tMjMz2bx5M2ZmZlhaWqJUKpEkiblz57Jjxw58fHxwc3PD3NycvXv3cvnyZQ4dOkRxcTFP\nP/00xsbGhq5Cs9y4cYP09HRsbW0xNTXl9u3bjBkzhtTUVBQKBb169cLZ2ZmCggJ+/fVXlEolv/76\nK4899hiurq6GNr9J1Go1mZmZ2k/FR44cwcXFBUtLS65evcqECRPw9vbG1tZW69ayZcsW/Pz86Nev\nn4GtbzlduU25desWVlZWmJubU1FRQUBAAPfccw+5ubmUlZXRu3dvBg4cyLlz5/Dw8ODmzZuEh4cz\nefLkTuEisH//fpKSkrCwsMDGxob09HT69evH6NGjOXz4MJMnT6Zbt25cuHCB/fv3k5+fz5EjRxg9\nejTe3t6GNr9FHDlyBKj+Kmlubk5cXBzjxo2juLiY0tJS+vXrh6urK5cvXyYoKIjc3FyuX7/Ogw8+\nKHvf8DVr1nDz5k2qqqpwd3dHpVIxdepUjIyMSExMpHv37nTr1o1bt27xP//zP2RnZ3Po0CFmzpzZ\nKdx0MjIy+Pjjj4mMjKS0tBQvLy8sLCzo378/gwcP5siRIwwePBgnJyd++OEH/P39CQoc5Hu5AAAg\nAElEQVQKIj4+nocffljW62syMjJYvXo1xcXFqFQqnJ2dMTIy4qGHHiI1NZWCggL69OmDvb0927Zt\nY+vWrQQGBpKVlcWTTz7ZKQfrusZgYvqrr77ixx9/JCYmBh8fH21DMWfOHA4dOkRubi4jRowgNTWV\npUuXcuLECQ4cOMDo0aM7hTP/8ePHee+99zAxMeHw4cPY2toyePBglEolPXv25Pbt2wQEBDB16lSK\niooIDg7mt99+w9fXlwULFhja/FpcvnyZDz74ADc3N6Kjo7l48SL33HMPdnZ2eHh4kJSUxJUrV7jn\nnntQq9WUlJRw7do1evXqxQcffCBrIS1JEhUVFaxevZp9+/aRk5PDsWPHGDlyJN27d2fEiBFUVlZy\n8eJFevbsibOzM7GxsZw4cYLTp0/z0EMPMWXKFENXo0n27dvHRx99RGhoKNnZ2QwePJhu3brRt29f\nfH192bp1K6NGjcLJyYnNmzeza9cu/vvf/9KvXz+eeeYZ2X4hqUtXbVPS09N57733OHv2LOfPn6ei\nogI/Pz/69++Pj48PycnJREVFMWjQICwtLdm0aRMHDx7k3LlzzJ8/X/YLLcvKyli+fDlXrlzBxMSE\n7777jkmTJjFgwAC8vb0xNTUlLCyM9PR0Bg8ejImJCQkJCVy7do3XX3+dsWPHGroKzZKRkcGiRYsI\nCQkhNzeX3bt388gjj+Dk5MSIESNISUkhJiYGOzs7XFxcSEtL49y5c9y6dYvXXnuNAQMGGLoKDSJJ\nEsXFxSxatIiysjIGDx6Mv78/ffr0YfDgwbi4uGBtbc21a9eoqqrSTrqYmppSXl7Om2++2Sl8ifPz\n81mxYgUDBgzAz88Pf39/+vfvz4ABA+jZsyfm5uYkJiYSHh7O2LFj8fX1xdvbG0tLS9577z1ZC+no\n6GgWLVrEgAEDMDMzY9WqVTz77LO4uLjQo0cPSkpKCA8Px9LSEk9PT1xcXKiqqsLOzo4PP/xQCGkN\nkgE4duyYtGDBAiktLU36z3/+I/n7+0tRUVHa32/duiVNmTJFKiwslCRJkjIzM6WzZ89KGRkZhjC3\nTXz11VfS1atXJUmSpF9++UX67LPPpHPnzml/LywslCZPnixdv35du628vLzD7WyK0tJSSZKq79em\nTZskSaq+Fx9++KG0fv167X7FxcXS3LlzpcOHD2u3VVVVdait7aGwsFB64403pLy8PEmSJOnTTz+V\nFixYUGuf5cuXS5s2bZJycnIkSap/r9RqdccY20pyc3Old955R0pNTZXi4+Old955R/rpp5+091aS\nJOnbb7+V3nvvPUmSqutRWloq3blzR/u7XOtWk67cpuzdu1f6z3/+I0mSJF28eFGaOXOmlJSUpP39\nxo0b0urVq6Xdu3dLklR9vwoKCgxia2soKyuTJEmSMjIypBdffFG7/ZNPPpG+/fZb7b0pLy+Xzp49\nK82bN0+Kj4+vdx61Wi3bZ7SyslKSJEkKDw+X5s2bp93+7LPPStu3b9f+nZ2dLX355ZfSpk2btO2Q\n5vpIkjzrmJmZKUmSJFVUVEjvvPOOlJCQIEmSJO3evVt65plnau27b98+admyZVJQUFCH29keoqOj\nJUmSpLy8POnJJ5/UtvubNm2SPv30U22dVSqVdP36denVV1+VAgMDDWZva0hLS5MkSZIiIyNr9Xdv\nvfWW9PHHH2v/Li8vl9atWyf5+/vXancEtemwmemYmBhUKhXW1tbs2bOH/v37M378eHr27ElSUhKx\nsbGMHDkShUKBs7MzoaGhHD16lIcffhgrKyt69eol60+VYWFhfPbZZ+Tm5uLp6cnJkydJSUlhwoQJ\nODs7k56eTnx8PIMGDcLExARzc3Py8vIIDg7mvvvuA5DNDO7Nmzf5+OOPuXnzJt27dyc6OpqkpCSt\nL6aLiwu7d+9m4sSJWFtbY2pqSmlpKVFRUYwdOxYjIyOMjGS1trUehw4d4rfffsPU1JSSkhLi4uLw\n8/PD1taWCRMm4O/vj6+vLz169ADAysqKQ4cOMXToUK1rjkKhQKVSYWRkJCsXgYyMDE6fPk23bt0w\nNzdn9erVvPDCC7i4uKBWq4mIiECpVGrr5uXlxYYNG/D29sbT0xMTExPs7OxQq9VIkiTbe9mV25Qf\nf/yR8PBwre96WFgYkyZNwsvLi4iICKKiohg/fjwAjo6OpKSkEBkZyaBBg7SuIHJm06ZNbNiwgaqq\nKjw8PAgLC9NGPHB3d+fo0aP07t0bV1dXjI2NsbKyIiUlRfs1TINarZbd+6fh+++/1/pDFxYWkpOT\ng5ubG46OjvTt25cVK1bw/PPPY2RkhKWlJQUFBURHR+Pj44OdnR0mJtWRa+XWxhQWFrJixQr27NlD\nTk4OVVVV5ObmYmNjg4eHB4MGDeLnn3+mqqqKQYMGAeDk5ERsbCx+fn6yd1eB6sW9n376Kb/99htx\ncXE4ODhgbGxMYmIifn5+eHt7c/jwYdzc3OjZsycKhQIrKyssLS3p06cPdnZ2hq5Co4SGhvLpp59y\n8uRJAIqLiykuLsbR0REnJydGjRrFJ598wrRp07Czs9PqkoKCAgYPHoylpaUhzZctehfTJSUlfPHF\nF2zcuJGoqCgiIiJ46KGH+Prrr5k5cyYODg4UFxcTHx9Pr169sLW1BWDixImYmZl1ik9A+/btY+3a\ntTz88MOkpqayc+dO3n77bdavX899992Hk5MTeXl5hIWFMW7cOExNTVEoFIwbN04rpOVCcHAw/v7+\nPP/88ygUCtavX8+bb77J6tWrmTx5Mvb29lhZWRETE6N1WQEYNGgQEydOlK3w0qBx6bh48SL9+vVj\n69at3H///Zw5cwZHR0d69eqFsbExCoWCwMBAJk+eDICbmxvDhw/X1lfTscmtvt9//z1r166ltLSU\nAwcO4OrqSvfu3bl27RqjR4/G1dWVwMBA7Ozs6NOnD5IkYW1tzYgRI+q5OmgGDHKjK7cpaWlpvPLK\nK5SWllJUVERoaCimpqZIkoSZmRnu7u7069ePVatWMX36dJRKJcbGxjg7OzNx4kTs7e0NXYVmef/9\n9ykpKeHJJ5/kxo0bxMbG0rdvX6KiovDz88PNzY2QkBDCw8O59957AbTPaN3EVnJ8PouKinjrrbeQ\nJAlXV1cuXLigdZHr3r07Li4ueHp6EhISQnJysnbxnZeXFyNHjqy3EFZObYwmTrSzszOvvPIKBw4c\nwMvLi5ycHLKysnB3d8fGxoYePXrwyy+/8MgjjwDV92/06NGdQkgDrFq1iokTJ/Laa68RFxdHWloa\nbm5u3L59W+vqkJKSwtmzZ7Xrm8zNzbUDIbmSk5PDZ599xjPPPMPw4cM5cuQIw4YN48aNG1hZWdG9\ne3ccHR3JyckhOjqaMWPGANCjRw+GDRsmhHQT6P0tPX/+PKmpqfz888989NFHnDlzBmdnZ/r27ct3\n330HwLBhw4iIiKg1ElcqlTz88MP6Nq9daELdZGVl8dRTT/H4449rFxU6OzszduxYPv/8cwBGjhxJ\namoq8EfjKMko+5rGlszMTFxcXJgyZQqzZ8/GzMwMa2tr/vSnP/HVV19RWlqKUqkkPT29060uh+pZ\nlatXr7J27VpefPFF3NzcSEpKYubMmRw8eFAbpsnR0VG78E5zn11dXWV1zxoiIiKChQsXsmTJEu69\n915iY2MZMWIEUVFRhIWFoVQqcXd316au14gRjU+m3OsHXbtNCQkJYezYsSxfvpyZM2dSVFTE+PHj\nMTIy4tatW+Tk5ODq6srYsWNJSkrSHte9e3ftoEHOpKamUlhYyOLFi5k4cSImJiZ4e3trB3J79uwB\nqttLe3v7WuHENIMKuT+jsbGx5ObmsnDhQl5++WUyMjLo3bs3Q4cOJSgoiIiICACGDx9eKyGLZgZe\nziHUKioqOHXqFE8++SSenp64ubkRFxfHX/7yF1JTUzl16hRQfZ81X4XkOOBpijt37pCamspjjz2G\no6Mjd+7cwdHRkXHjxmFvb8+6deuA6msxbNgw2T+PNUlISCApKYnJkyczfvx4srOzsba2Zvr06dy4\ncYMLFy4A1esYOlOEFTmgdzGdmJjI1KlTgeobqQn/87e//Y2dO3cSGRlJREQExsbGlJeXA/Jxd2gO\njSju3r279pPr5cuXqaysxMTEhPnz53Pz5k2++OILXnrpJfr371/r86scGhlNQ1BTVP39738Hql1X\n7OzsMDc3Z968eVhbW7Ny5Uqef/55bGxssLe371QNCYC9vT1PPPEEeXl5AFhYWGBkZMTEiRPp3bs3\nO3fuZPny5WzYsEErTmrODMnhnjWG5muB5jP4+fPncXR0ZOjQoQwZMoSlS5cSGhrK+fPn8fX1bfDe\nybl+Grpim6JJHW1sbKwNI6kJvWhvb88999xDRkYGK1aswN/fn8jIyE4TwaImbm5uTJ8+XVvfnJwc\nTExM6N27N4888giHDx/mgw8+YOXKldpBRE06gzgbMmQIf/rTn6iqqqK8vBwzMzMUCgXTp0/H0dGR\nzZs389FHH/Hjjz9qXa1qIqeZ6LKyMm07oUks4+/vj7OzM1AtKL29vXFycuLRRx8lJSWFv/3tb+zb\nt49Ro0YZ0vQWU3eA1qtXLxYtWqS9D5WVlQwYMIDu3bvzwgsvAPCPf/yD4OBgHnzwQVk/j3Xb+GHD\nhrFq1SqgemLJysoKT09P7r33XsaMGcO5c+d46aWXSE9Pp3///oYwufOiL2dszWKJ9PR0SaVSSZIk\nSefOnZOWLVum3Wf37t3SsmXLpJkzZ0oXL17Ulyk6Q61W11pYp6lXzd/nz58vnTx5UrutsLBQOn/+\nvBQQENBhdraUmnVpaMHgZ599Jn377beSJFXXo6ioSIqOjpaCg4M7zMb2oFKp6t2jmiQkJEhz5szR\nLtbKzMyUYmJipG+//VZKTEzsKDPbjOYdq7kwSbNApry8XJo7d26thWi7du2SPvroI2nbtm0da6iO\n6GptSkhIiHbhZ0PP6Z49e6R33nlH+3d+fr70ww8/SN99951UVFTUYXa2leYWISckJEiPPvqo9u+8\nvDwpLy9PunTpklRRUaFv83RC3TrWvY/nz5+X5syZo/07OztbCg8Pl/bs2SP7OpaXl0unT5+utUi+\nJjExMdJLL70klZaWSqWlpdoFvzdu3OhIM3VGcXGxJEm129Po6Gjt/YuOjtZeC7kvXK6rVSSp/rN6\n8OBB7cLDlJQUKS0tTSosLJRu377dYXZ2JXTmM61ZJFFDpKNQKLC2ttaO3L799lseffRRHBwc+Omn\nn5g5cyaTJk3imWeekXXQ74qKCuLj43F0dMTIyIjKykqtX21NysvLuXz5Ms888wzr1q1j+/btPPTQ\nQ/Tu3RtPT08DWd84RkZGlJWVsXHjRkxNTbWxkquqqjAyMuLUqVNMnTqVffv2sW7dOiZPnqz9tNcZ\n0MxixcfHExwcjIeHR60ZypCQEK3v8KJFi7TJZ0aNGoWtra32c6tcZx40dkVHR9OtWzdUKhWmpqZA\ndea/lJQUpk+fztatW0lMTOSpp57ivvvu06Z3r5l8QI501TZFUw9nZ2c++eQTBgwYgKenZ736Hjt2\njMcff5zMzEzWr1+Pj48PEydOlHVCJ/hjpk/zrkVGRlJcXFzPlzQ0NBQTExMcHR1ZuHAharWakSNH\nat9TTTskR+rWsby8XBvfXPO7Jh3z4MGDUalULF26FE9PT23iC2Nj43r3XA5obFKpVISEhLBlyxaq\nqqro16+ftn4KhYLQ0FBKS0uprKxk8eLFWn9+FxcXA9egeTR11Nyn69evs3PnTu3XEM32y5cvk5aW\nRlpaGt9//z2+vr54eXnJduGyBoVCgZGREaWlpZw8eZLevXtrn1VN3c+cOYO7uzshISFs2LCB4cOH\n4+HhQbdu3QxsfefEpL0nkH7/jKC5UUePHsXPzw93d3ft7wqFgoKCAm7fvk1oaChr167V5q1vSJTK\njXPnzrFlyxY2b97M3r172b9/P9OnT2fQoEEMGTIElUqFsbExKSkp7Nmzh+joaMaPH89nn30mq1X1\ndVeFx8XFsXr1aszNzXn11Ve1+5mYmFBWVsa2bdsICgpi+vTpfPvtt1hZWRnK9BajuRdQ/ezt3buX\ndevWsXTpUq3Q1PDzzz8TERHB5cuXmTRpUq1EOZooAXJD8z5pCAwMZOfOnaxatarWQOHChQsEBwcz\nf/587O3tmTdvnvY3jYiWY/2g67cpGtuMjY1ZuHAhq1atYs+ePbXuX0ZGBhcuXCA0NBS1Wq1Nw9wZ\n0AxiY2Ji2LJlCxcuXOCJJ57g5ZdfxtzcXHv/AgIC+Omnn0hISGDOnDlaVzkNGn93OaKpY1xcHP7+\n/jg4ODBjxgxtHTSppvfv309JSQleXl785S9/0S7oAmqJcblQs/00MzMjJyeHyMhIJk+eXO9+HDly\nhL1796JWq/nf//3fTpHcSdOua+qoyYgaHx+PtbW1dhCh+f3YsWNcvHiRvn37yr4PrNtn7du3j+3b\nt2vjQt93331YWVlhbGyMJEns2rULY2NjnnrqKdnXrTPQ5tZK0yBqOoaIiAh27drFzZs36dmzJ08+\n+SSTJk1CoVAgSRJpaWna5AIffvhhrYUXckQTFszY2JipU6dy/Phx5s2bh4uLC6+99hpRUVGsW7cO\nf39/7SxRZGQkjzzyCPPnz5ddx1ezgbh27RpWVlYolUpcXFwaDLqekpLC3Llzefrpp2V/r6B+I3nn\nzh3c3d0pKirC2tpa24lJkoRarcbY2JgePXrg5OTEu+++q12lrHmu5SQ0a9qsUChISUnRZqRSq9X0\n799fO8ulaSg1ETvmzJmj9V2UY93qUrND6GptSk3i4+NZuHAhmzZtYteuXWzbto3Zs2dTVVWFiYkJ\nkiQRGxvLO++8w8yZMw1tbqu5c+cOixcvZu7cuYwbN469e/dy+/ZthgwZou0zzMzM+Mc//sFLL72k\nPU6ug1ioP1A/fPgwu3btYtasWZSVlfHtt9/i6OhI//79UavVmJqaaqMgvPjii9rz1O075YSxsTFJ\nSUl89dVXKJVKpk+fzqJFi7h58yZJSUl4eHhor8P999/PpEmTmDFjhqHNbpaabaiGDRs2EBUVxYsv\nvsi4ceOYP38+r776Kqampto6PvLII7z66quyTZoDDddNkiRCQkJYunQpAwYMQKVSkZ+fj7GxsXaC\nb86cOYwZM0bWdetMtMnNo+6nqdDQUF577TWef/55PvzwQ+Li4sjKysLNzQ1bW1ttozFmzBheeuml\nThEeRyM6srOzsbKyon///uzbt4+XX36ZUaNG4enpyfXr13FwcNAuIunTpw8PPvigbMJTZWRksGPH\nDjw8PLCxsSEjI4PFixdz6NAhLl26hI+PDy4uLiQlJaFUKnF1ddXeWwcHByZOnCj7e1X382pUVBTv\nv/8+x44dIzk5GV9fX9RqNampqfj5+dWaDRoxYgTTpk3TNp5y7OA0M61GRkaUl5ejVqs5cuQIx44d\nIz4+nsmTJ/P555/z9NNPY2Jiot3f19eXuXPnap9NOYuUmigUCkpLS0lKSmLOnDnMmjWrU7cpd+7c\nYeXKlYwcORILCwtiYmIwMzOje/fuXL9+ncTERF544QWWL1/OU089hbm5OVVVVdja2jJ79myGDx9u\n6Co0SV1XoeDgYOLj41EqlZw+fZq3334bHx8frl+/TlhYGMOHD8fCwgKA8ePHa6N4yC2Wcl2kGvHW\nk5OTsba21kbmeO+99+jfvz+BgYHk5uZqB68KhYJp06Zp76Hc6qhSqfjhhx/Izc2loKAAFxcXcnJy\neOutt7RhW/v27YuVlRWJiYlER0djY2ODk5MTCoUCb29v+vbta+hqNElJSYm2/dSkNV+7di137txh\n7NixODk5sW7dOlxcXDA3N8fLywsbGxttX6BZXClnNFolISGBXbt2UVJSgqurKytXruSZZ57Bzs6O\ntLQ0duzYwYgRI7T95dChQ2Vft85Em8S0kZERVVVVbNiwgdzcXMaPH09gYCDm5uaMHj0aKysrgoOD\nqaiooH///tqA5nL1YYTqTmHPnj0YGRnh7OyMWq3miy++4LvvviMoKAhfX1/KyspIT09n1KhRlJeX\nc/z4cZ588klt5yCXRlLD1q1b8ff3x93dnaFDh7Jnzx58fHxYuHAh586dIzU1lfHjx5OTk0NISAjj\nx4+X9afVmlRVVfHFF1+wZcsWhgwZog1ZdOTIEWbNmsVzzz1HTEwMly9fZsaMGRw8eJBRo0ahVCq1\nM0OaUFs1Z33lQlBQEM7OzlrXlO3bt7N06VKuXbvGI488wrRp0/D398fKyori4mIGDhyIvb29tsPX\niEuN36mc6tYUd+7c4V//+hcvvPACV69excLCglGjRnXKNgWqo8fs3LkTMzMzSktL2bVrF2ZmZvTu\n3RsvLy82btzIE088QUJCAidPnmT69Onae1jXLUlO1B3EQvXakqNHj9ZKNpOfn4+Pjw+pqakcP34c\nPz+/WhEsNC49chzoaeoI1W37xYsXWbZsGdevXycpKQkfHx+srKzIycmhT58+pKWlYWRkxLBhw2rF\nodesvZBTHX/77Tc++eQToLrvW7NmDR4eHlRUVJCbm8sbb7yBi4sLpaWlnDt3Dh8fH3788UfMzMwY\nMmSIrOrSGKGhoezcuRMbGxtcXV25dOkSixcvZty4ccTFxREdHc24ceMYOnQoO3bs4PDhw8ydOxdL\nS0tZt5cqlYqrV6+iUCiwsbEBql3hVq9ezaRJk9iyZQvm5ubY2Niwd+9epk2bxs6dO4mJiWHGjBmd\npo/vbLRITGtmV4YPH46lpSVnzpxh2bJlGBsbExsbS1xcHLNnz9bOkPXo0YO4uDgcHR3x9vaW/Yt3\n+PBhli5dipmZGQ888ACmpqb88ssvpKam8uWXX3LhwgVOnz7N7Nmz2bVrF1FRUfzyyy+4ublx7733\nykqsaBZHAtja2pKUlERmZiZ9+vTB1taWhIQE9uzZQ58+fTh69Cg9evTAwcEBd3f3WosU5I5areaH\nH37A3t6e8PBwSkpKcHJyIjg4mFdeeQVbW1ttcplRo0aRkZGBk5MTbm5ute6VHN0e1q5dy3/+8x96\n9epFv3792LFjB3FxcaxYsYJTp06RlpbG/fffz8iRI4mIiGD37t3MmjULW1vbej7VcqubhuZmbJOS\nkpg9ezarVq3qlG0K/DET6ezszJ49e5g+fTpZWVlkZ2fTq1cv3N3dCQgIIDAwkH//+9+Ym5vLPtxd\nQ4PYNWvWkJGRga+vL1ZWVqSmppKbm4uvry9bt27lzJkzpKenY21tTUJCAvfdd18tVwe5tJ0akpOT\nWb58OcePH+fEiRNMnz6diooK1qxZwz//+U8GDBig9XH39fXlu+++Izg4mMDAQGbPnl1vtk9udSwo\nKGDz5s28/vrrPPvsswwbNgxHR0dOnz6Nu7s727dvZ8KECTg4OHDw4EHy8vJ48sknmTZtGuPGjesU\n756Gq1evolKpGDBgAKdOncLV1ZWXX36ZgQMHEhISgkKh4L777mPkyJFYW1szfPhwbVI1OXL48GEW\nLVpERkYG27Ztw9TUFG9vb65cucKQIUMYOnQoBw8epLi4mLfffpuUlBR+/vlnVCoVH374oewXTnZm\nWiSmNbMrxsbGDBw4kKtXrzJp0iQeeeQRwsLCOH/+PH/+85+5c+cOR44c4cEHH8TPz49+/frJ+sUr\nKChg9uzZpKam8u677/LYY49pZ4MiIiIIDQ3lzJkzGBkZ4e7uzrBhw7CzsyMuLo558+bxyCOPyGZG\nMyMjgzlz5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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tmy_data['GHI'].plot()\n", + "plt.ylabel('Irradiance (W/m**2)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculate modeling intermediates" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Before we can calculate power for all times in the TMY file, we will need to calculate:\n", + "* solar position \n", + "* extra terrestrial radiation\n", + "* airmass\n", + "* angle of incidence\n", + "* POA sky and ground diffuse radiation\n", + "* cell and module temperatures" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, define some PV system parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SAND POINT: latitude=55.317, longitude=-160.517, tz=US/Alaska, altitude=7.0\n" + ] + } + ], + "source": [ + "surface_tilt = 30\n", + "surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention\n", + "albedo = 0.2\n", + "\n", + "# create pvlib Location object based on meta data\n", + "sand_point = pvlib.location.Location(meta['latitude'], meta['longitude'], tz='US/Alaska', \n", + " altitude=meta['altitude'], name=meta['Name'].replace('\"',''))\n", + "print(sand_point)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Solar position" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calculate the solar position for all times in the TMY file. \n", + "\n", + "The default solar position algorithm is based on Reda and Andreas (2004). Our implementation is pretty fast, but you can make it even faster if you install [``numba``](http://numba.pydata.org/#installing) and use add ``method='nrel_numba'`` to the function call below." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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27rWclFqmRURERM4hsUyGH3a1EzVNhtIpri4o5s1IiJhpYlkWB2Mx/qK2np/1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\nEARBEARBeEYimBYEQRAEQRCEZ/T/AP2rGexxnd8cAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "solpos = pvlib.solarposition.get_solarposition(tmy_data.index, sand_point)\n", + "\n", + "solpos.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The funny looking jump in the azimuth is just due to the coarse time sampling in the TMY file." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### DNI ET\n", + "\n", + "Calculate extra terrestrial radiation. This is needed for many plane of array diffuse irradiance models." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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NDQ0cOHCAPXv2sHjxYgoKChg9ejSTJ09mzpw59swpvZSnuzOzxvUnu7CGgtI6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BBCCCFEK5BSECGEEEIIIVqBBNZCCCGEEEK0AgmshRBCCCGEaAUSWAshhBBCCNEKJLAWQgghhBCi\nFUhgLYQQQgghRCuQwFoIIYQQQohW8H8ebuENlDcqLAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# the extraradiation function returns a simple numpy array\n", + "# instead of a nice pandas series. We will change this\n", + "# in a future version\n", + "dni_extra = pvlib.irradiance.extraradiation(tmy_data.index)\n", + "dni_extra = pd.Series(dni_extra, index=tmy_data.index)\n", + "\n", + "dni_extra.plot()\n", + "plt.ylabel('Extra terrestrial radiation (W/m**2)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Airmass\n", + "\n", + "Calculate airmass. Lots of model options here, see the ``atmosphere`` module tutorial for more details." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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PtC6eh+ySOsNW+4xOxTL4/3+xCf978fm4+Jz51gqnAdWKzKMKjyD8wk/+sAec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\ngwcP1vpAGn7/ENvQ0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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "airmass = pvlib.atmosphere.relativeairmass(solpos['apparent_zenith'])\n", + "\n", + "airmass.plot()\n", + "plt.ylabel('Airmass')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The funny appearance is due to aliasing and setting invalid numbers equal to ``NaN``. Replot just a day or two and you'll see that the numbers are right." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### POA sky diffuse" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Use the Hay Davies model to calculate the plane of array diffuse sky radiation. See the ``irradiance`` module tutorial for comparisons of different models." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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IWcVD7E9efwCBoISuvqXDso1MPb4AtpXWK57PyK1pbOtSP3Mc+/1wZQsOVTSr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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "poa_sky_diffuse = pvlib.irradiance.haydavies(surface_tilt, surface_azimuth,\n", + " tmy_data['DHI'], tmy_data['DNI'], dni_extra,\n", + " solpos['apparent_zenith'], solpos['azimuth'])\n", + "\n", + "poa_sky_diffuse.plot()\n", + "plt.ylabel('Irradiance (W/m**2)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### POA ground diffuse\n", + "\n", + "Calculate ground diffuse. We specified the albedo above. You could have also provided a string to the ``surface_type`` keyword argument." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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6/TKNUVdoA0EQOsV0Xl4eSktLAcS2Al+wYAFuueUWHDlyhIlxBMED1XUdePb9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Z3p1KkTu3fv5tatW7z44ov069dPnsCm7fT09Dh79iy3b9+mb9++FBcX0759e86fP09OTg5RUVG4\nubkREBBAv379yM7OprKykm7dumnFZ7EpHmXE9uDBgzz99NM60afUp47Tzc2N6OhoSktL6du3L7Gx\nsdy4cYPz588jSRL+/v706NFD6xNpuPsitqqqCmtra8LDw+nfvz9ubm5cunSJ1NRUhg0bxqhRo1Aq\nlcyePVsuj1Bv5qGNjh07xooVKxg4cCB/+9vfMDAwwNvbmytXrnD48GFMTEzYvHkzTz31FJ06dcLb\n25uSkhK5ZloXbpvv2bOHnJwcJk+eTE1NDfr6+nh5ebF37168vLzw9PRk37597N27l4SEBJ5++mk6\nduwo34HVVoWFhbz77rtYW1vj4OCAra2tPIpraWmJkZERV69eZdCgQVhZWXH48GEcHR3x9/fHwsKC\nPn36yGuCa5sbN27w+uuvk5uby0cffcTLL7+Mq6srV65c4cKFC1haWrJu3TrS0tL4f//v/1FYWIiB\ngQEvvPACQ4cOZfTo0Vp//HTdQ5Np9eiKo6Mj27dvl5dlio+PJywsjGHDhsm38BYtWoSJiQkeHh46\nkZgZGRlx4sQJevfuzciRI8nPz+d///d/6dy5M7dv3yYyMpLAwEDmzp3LoUOHUKlUvPDCC4wYMUJr\n6qLVqqurOXjwIGfOnKGgoIBhw4bh4uLCli1b6Nmzp5xw1dXVsWLFCiIiIvjrX//KuHHjdO5Lph7p\nKSoqwtTUlPbt27N7925KSkqIjo7mypUrxMXFUVRUxJQpU7C3t2+w3JE2kSSJ7777jurqajp27ChP\nMFSpVHTo0IFLly7xyiuvcOjQIZydnZk5cyaRkZFUVVXh4+ODhYUFx48fp1+/flpf8qD2qCO2utSn\nNKYus/Hw8OD7779nwoQJuLi48Pvvv8sn/759+2o6zCa510XssmXL8Pb25vz581haWuLr68v58+fJ\nysqiQ4cOdOzYkdOnT/P9999TV1fHzJkztWqFo8b27t1Lnz59mDhxIqampuTk5FBaWkqXLl0IDQ0l\nPT2dDRs2kJ+fz7Fjx3jmmWewsLDg8uXLeHh4yBvuaLOamhr5jp2pqSkVFRUYGhpSVFREZGQk77//\nPt27d8fc3JzZs2frzE631dXVhIaGsnXrVjIzM7l16xbPPPMMCQkJ8kVfdnY2hw8f5vTp0yQnJzNh\nwgSduAAqLy+XV9YaNGgQkiTh6uqKUqkkJSVFzkcCAwM5c+aMXDJmb2+v1eVibclDk2n16EqHDh2I\njY0lLy+PZ555hpiYGMaNG0dRURF6enq4u7vTu3dvnRhdUVMoFHh5ebFmzRpSU1P55ZdfcHV15emn\nn8bGxgYzMzOSk5NZv349nTp14m9/+5umQ74vU1NTnJycKCsrk2+zVldX4+Pjg5mZGdbW1uzfv593\n3nmHbt26MXPmTDp37qzpsJtFnRAnJiayfPlysrOzefXVV5k5cya5ubkkJyfj7u7O0qVLsbe31+rZ\n8zk5OXz66adERUXJk0IMDQ3ZtGkTzz77LLGxsdjb25OWlsahQ4fkutM33ngDW1tbkpOTycrK4tln\nn9XqtYfra4sjtvejp6dHcXExLi4uxMfHo1QqGTlyJEFBQTz33HM6tRzV/S5ii4uLiY2NRaFQsHr1\nampqavjHP/5Bt27dMDExwcXFhaCgIP7yl79o/Wc0Pz+fxYsXc+vWLVasWMHJkyc5d+4c0dHRvP32\n2yQmJnLw4EEuX77MtGnTcHNzw8TEBENDQzp27HjPlZG0TW1tLUlJSQB07txZTrYiIiIYMGAAHh4e\nmJuba/3kwsZMTU1xcXGhtraWIUOGEBERQWRkJMnJyVRWVuLp6cm4ceOoqqrC0tKSBQsW6EQiDWBu\nbo6FhQX79u0jMDAQKysr9PT05O3dp0yZQo8ePbh48SLm5uZ8/vnnOtO2tkIhqWeAPIB6uaaMjAw+\n+OADvv/+e7Zv305cXBx2dnZ8+umnWjubvimCg4MJCwsjPDz8rlHa1NRUbGxsdKJ9paWl7Nixg5yc\nHMaNG8fnn39Ox44dmTFjBg4ODhw9epSxY8fKy8DpuqqqKmbMmMH8+fPlZdHUE2jefvttli1bpvXL\npalUKvbs2cPu3bspKytj0qRJDBo0iKNHj2JpaUlJSQlXrlzhH//4B1u3bmXYsGF07dq1wb/XlbKH\n+tR9Snp6OnPmzOHbb78lPz+fkJAQAD7++OM2sXlAQUEBixcvRqFQUFhYyPz58/H399d0WI9l3759\nLF68mP79+zNmzBhGjRrFnDlz6Nq1KwEBAfJIu3qlD228iH2QyMhIKisr0dPTY8SIEQBMmDCBdevW\nYWZmRmpqqs4vJ7Zr1y4iIiIYNmwYnp6ebNiwgaqqKv75z3/qzB2ueyktLWX9+vVYW1szbdo0rl27\nxqpVqwgPD2fIkCF89dVXOls3XFZWxtq1a9HT0+Pdd9+Vf/7GG2/w2Wef0b59+wbLNwpPVpNqpuuP\nrly8eBEDAwNee+01goKCGD9+vM4nZz4+PsTExMi7N9XU1MiTCm1tbXWmfcbGxhgYGBAVFcXIkSPx\n8PBg37596OnpMWzYMLp06dKmbvkUFhZy9uxZRowYgZmZmVzKYWVlRbt27fD29tb6EhaFQoG1tTVF\nRUVYWFjg5ubGN998g7W1NYMHD8bR0ZHExET69OnDsGHDcHR0lHdf08VERa0tjdg+iIWFBV26dMHE\nxIS5c+fKu4zqMjc3N06dOsWHH34oLwPXp08fBg4cKM9LUJ/UdfHz6ezsjImJibxs37p161AoFIwc\nORITExN5xE8bdy9sKvVk0aSkJA4cOMCIESOYPXs2VlZWmg7tsRgbG2NmZkZ4eDjOzs74+/vz9NNP\nExQURK9evbRyJ+KmMjIywszMjBMnTuDv709FRQULFy7E2dmZ0aNHy0sACprRpDVS6o+uFBQUMHny\nZACdGK1tinbt2jFmzBj+/e9/ExoaqvW3Ih/Ez8+PgIAAVq5cyZIlSwgICGgTJ/B7ad++PSYmJhgY\nGMhX4+r/jxo1SpOhPRInJycCAwPZtWsXgwYNIjU1lS1btqCnp8dbb73Fv/71L/m56pFoXUxS6ms8\nYjtp0iQAra6nba5OnTrRqVMnTYfRYoqLi7G2tsbMzExOmtXngsabJ+miiooKfvrpJwoLC8nPz8ff\n35/33nvvrkEVXW4jQFBQEEFBQVo5l+Rx+Pn5ERgYyMaNG1mxYgUAXbp00XBULcPPz48uXbowadIk\nfHx8GD9+PM8//7ymwxJoYpkH3FnKKi4ujjFjxuh0snk/1dXV7N27l/HjxwPat2b0o0hPTychIUF8\nyXRIWVkZP/74I0ZGRrzzzjtERkbi5+cnlzroajnHg7T1PqUtmzt3Lh9++CEODg6aDqVVlJaWkpCQ\ngIWFBYGBgUDb/A62Venp6Vy6dIkxY8bo9Ln8XrKysjh69CivvPKK6De1SJOTaUHQVm3lJBcbG8uR\nI0d455135DKHttI2QdBV6rIq8T0UBOF+RDItCFqiceLc1m6/Cm3LH+FCT3wHBUFoCpFMC4KW+SMk\nKYIgCILQVohkWhAEQRAEQRCaSQx/CYIgCIIgCEIziWRaEARBEARBEJpJJNOCIAiCIAiC0EwimRYE\nQRAEQRCEZmrSDoiCIAiC9vr3v//NuXPnqK2tJSMjAy8vL+DO5hWHDh1qs5urCIIgaAOxmocgCEIb\nkZOTw5QpUzhy5IimQxEEQfjDECPTgiAIbUTjsZERI0awadMmoqKiiIiIoLCwkIKCAqZOnUpubi5n\nzpzBxsaGtWvXYmRkRFhYGBs3bkSlUhEQEMCCBQvElsWCIAgPIWqmBUEQ2jD1Dn4JCQn85z//YcuW\nLSxdupSgoCB2794NwIkTJ0hOTmbnzp2EhIQQFhaGnZ0d//nPfzQZuiAIgk4QI9OCIAhtmHq0umfP\nnpibm2Nubg7AwIEDAXB1daW0tJSoqCgyMjL4y1/+AkBtbS0BAQGaCVoQBEGHiGRaEAThD6BxuUbj\nLetVKhXPPvss8+bNA6C8vBylUvnE4hMEQdBVosxDEARBoF+/fhw+fJji4mIkSWLhwoVs3LhR02EJ\ngiBoPTEyLQiC0Iaoa6TVf1b/d7/nqP/u5+fHO++8w9SpU1GpVHTp0oU333zzicQsCIKgy8TSeIIg\nCIIgCILQTKLMQxAEQRAEQRCaSSTTgiAIgiAIgtBMIpkWBEEQBEEQhGYSybQgCIIgCIIgNJNIpgVB\nEARBEAShmUQyLQiCIAiCIAjNJJJpQRAEQRAEQWim/w98cr55SkUABwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "poa_ground_diffuse = pvlib.irradiance.grounddiffuse(surface_tilt, tmy_data['GHI'], albedo=albedo)\n", + "\n", + "poa_ground_diffuse.plot()\n", + "plt.ylabel('Irradiance (W/m**2)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### AOI\n", + "\n", + "Calculate AOI" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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OdM1OwtEKjzMXETnX6hsDHDxSz9sf7mdHUSVV2o1D2hrNTIs034qPi1jxcREAt17el8Q4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\nJCSgVCpxcXFBp9Px0Ucf8dlnn5Gamkp4eDiNjY1UVFQQExNDU1MTe/f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2xSTlVneO2E6Y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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth, solpos['apparent_zenith'], solpos['azimuth'])\n", + "\n", + "aoi.plot()\n", + "plt.ylabel('Angle of incidence (deg)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that AOI has values greater than 90 deg. This is ok." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### POA total\n", + "\n", + "Calculate POA irradiance" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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eSFkAmlalub3LsPfJxmNHYd63VzmhBMjCK6bSp5mKpH57LirXrELxe+/yjmMv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YMDgUAgEAhqhKZpuN1u7HnqRaVFCUSlq+kWZ69HuOpGjl5eaBpOPma3XkSWYi0hbpq9H2uax5Xp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\nQRCEp+D/AIVXvLyRJvMoAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "poa_irrad = pvlib.irradiance.globalinplane(aoi, tmy_data['DNI'], poa_sky_diffuse, poa_ground_diffuse)\n", + "\n", + "poa_irrad.plot()\n", + "plt.ylabel('Irradiance (W/m**2)')\n", + "plt.title('POA Irradiance')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Cell and module temperature\n", + "\n", + "Calculate pv cell and module temperature" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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wiGDsQ9XmOBSjaAXdvpX7eOYfe3Corh3Lt5nvDx+UhemyyPvkoKuJIGZqsZW5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\nIUQlSCIthBBCCCFEJfw/teVEyjHDQuAAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pvtemps = pvlib.pvsystem.sapm_celltemp(poa_irrad['poa_global'], tmy_data['Wspd'], tmy_data['DryBulb'])\n", + "\n", + "pvtemps.plot()\n", + "plt.ylabel('Temperature (C)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## DC power using SAPM" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get module data from the web." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "sandia_modules = pvlib.pvsystem.retrieve_sam(name='SandiaMod')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Choose a particular module" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Vintage 2009\n", + "Area 1.701\n", + "Material c-Si\n", + "Cells_in_Series 96\n", + "Parallel_Strings 1\n", + "Isco 5.09115\n", + "Voco 59.2608\n", + "Impo 4.54629\n", + "Vmpo 48.3156\n", + "Aisc 0.000397\n", + "Aimp 0.000181\n", + "C0 1.01284\n", + "C1 -0.0128398\n", + "Bvoco -0.21696\n", + "Mbvoc 0\n", + "Bvmpo -0.235488\n", + "Mbvmp 0\n", + "N 1.4032\n", + "C2 0.279317\n", + "C3 -7.24463\n", + "A0 0.928385\n", + "A1 0.068093\n", + "A2 -0.0157738\n", + "A3 0.0016606\n", + "A4 -6.93e-05\n", + "B0 1\n", + "B1 -0.002438\n", + "B2 0.0003103\n", + "B3 -1.246e-05\n", + "B4 2.11e-07\n", + "B5 -1.36e-09\n", + "DTC 3\n", + "FD 1\n", + "A -3.40641\n", + "B -0.0842075\n", + "C4 0.996446\n", + "C5 0.003554\n", + "IXO 4.97599\n", + "IXXO 3.18803\n", + "C6 1.15535\n", + "C7 -0.155353\n", + "Notes Source: Sandia National Laboratories Updated 9...\n", + "Name: Canadian_Solar_CS5P_220M___2009_, dtype: object" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_\n", + "sandia_module" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Run the SAPM using the parameters we calculated above." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " i_sc i_mp v_oc v_mp p_mp i_x i_xx \\\n", + "Time \n", + "2015-01-01 09:30:00+00:00 0 0 0 0 0 0 0 \n", + "2015-01-01 10:30:00+00:00 0 0 0 0 0 0 0 \n", + "2015-01-01 11:30:00+00:00 0 0 0 0 0 0 0 \n", + "2015-01-01 12:30:00+00:00 0 0 0 0 0 0 0 \n", + "2015-01-01 13:30:00+00:00 0 0 0 0 0 0 0 \n", + "\n", + " effective_irradiance \n", + "Time \n", + "2015-01-01 09:30:00+00:00 0 \n", + "2015-01-01 10:30:00+00:00 0 \n", + "2015-01-01 11:30:00+00:00 0 \n", + "2015-01-01 12:30:00+00:00 0 \n", + "2015-01-01 13:30:00+00:00 0 \n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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vLHRWDrO4uI5ChwIJnvj7SDXBhc5QGJFIDOOPGem2KK7iROerGQNL1BbFFJU+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\nH//AyMgIT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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sapm_out = pvlib.pvsystem.sapm(sandia_module, poa_irrad.poa_direct, poa_irrad.poa_diffuse,\n", + " pvtemps['temp_cell'], airmass, aoi)\n", + "print(sapm_out.head())\n", + "\n", + "sapm_out[['p_mp']].plot()\n", + "plt.ylabel('DC Power (W)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## DC power using single diode" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "cec_modules = pvlib.pvsystem.retrieve_sam(name='CECMod')\n", + "cec_module = cec_modules.Canadian_Solar_CS5P_220M" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = (\n", + " pvlib.pvsystem.calcparams_desoto(poa_irrad.poa_global,\n", + " temp_cell=pvtemps['temp_cell'],\n", + " alpha_isc=cec_module['alpha_sc'],\n", + " module_parameters=cec_module,\n", + " EgRef=1.121,\n", + " dEgdT=-0.0002677) )" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "single_diode_out = pvlib.pvsystem.singlediode(cec_module, photocurrent, saturation_current,\n", + " resistance_series, resistance_shunt, nNsVth)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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oMXWrtbMfebkB9IdjmT+qNcRMLdo1ojFqbwQ/SIkmCA5oDVaOjhUORabmTktv\nYmS49cxrTNPa0pZpzJRJFps4lRQfZZlJjNxzuG8Tfccza5meF1aGFgLmMrHIvkpJaEDmHERWwXub\nXss/azKRaKrBgu4rguwI0gcO9RVRc2HZEVFt/JLRRt5MufqRiUeNtB2GVJMWD5Jj4gKnDD/RJp9z\nC7PyOoEIN5VE9kJKNGHItuoWfLr9kNticMGN/rMv7KxbM9FJdFTB5BCXFUVClPIh44TBKk7VAlkU\nQafIzzMels1mCTebY0FFYLdsTa/IJz1pJkrDRwYr//ryI/iwzP83dhLakDlHlhOKxFCQl6OrGD35\n5g4AwFfP+gyXOP2kSBjCfgrPkajsKEA5zGmy8TsHBcqqIpFtyhsveLfvnftaceIxxVzDZMXJmpCX\na0aJNmdkLGsd9stK9N+XlAMAvnNhKbcwCW9BK9FZTDgSw02PfYLHXt/mtiiehecgpbg8vTAbu52V\naJFjupsHVs0ip0ojNxsrmtwWwVFyDNqXK/2EzaaVqfMH1L8XRHLfwCVOasjEIKREZzE9fREAQHlt\nu6PxSqHsOHUIT+XmO0vp5z2I2SB5jLeyNWpyES0zMouQDaRgMgrYgSiV9M9iI5Wgx0olvU/REFCW\nuq/V5O1KZ9rVn4ta7/LNDfj93DXSlAXBF1Kis5hsPTwFgNtA71gecu5/7QSnulJmOhucH0ikGrtk\nksUuOnVfURS8+vEelNu43TERlu0Q/Ifb3jmYST9Y6OLQYyZqntm24OM92L63BR1pNzsS/oCU6Cwm\nh9m4leCC4GxXW50xMyiYHXCNtpuNAnZ8AJVGk5AfpqzSeFgBUN/Ug2WbG/DoQv+YisliX6woQHBw\nF9EpQuEYdtS0mHqWqXm7kac07BEcISU6i3GrL5HiYKGbHamu6yo7ATtmo2IZN8ZM6wcL+coBqBe9\nBK3BHir1IebGVXQCkS01H2+qN/UcT7lnv7ED7RZXU5Pl+L/Zq1B5oIOPUC5hJV8lmYMRnCElOovR\na9PRmPDLmD2Hvt9Wnd/4i8Iek4s9uNtjh5UVxN5+QW4Js2AkVeDPZMqUpLhLk5S+kMV2kSRuMKlt\nuZEK1xaP/NgoCFKisxqNRv3myhrc+MhKNHX0CYlWioOFKojo41RNFxhu1vNKv2u2RO1c8mJVCCt5\nuGLbQSEDvEeKkw3Dk6M2g5cg02S7eTTXhBs8AHJkHrTrvWPSSZANEohACICU6CwmuVEnz5I/WD/g\nPL6yzlkNRKg0AAAgAElEQVSvHV6morYt4U/bPcxfvc0bUeHz8H1taQUoa0c8hoRn28FkierElJMn\npHz2bFEw5OmRtl68v642xcuFsDmCQcBWsptWov0JKdFZTHKbvuGhFXhvbW3a79ToWdhWLeDgjQ9I\nqUZu2ERbfZHqvyUM79bxaL46dZbDTP8wtqjAVFiy5LRWmbPk6T0vbcBbn+zDjppW9viTP/C4BdWh\ndwj5ISU6i0nu2BQAi1ftcybebOtOGJQGOwqG3tjA0zuHatzWXxWOTEqbRKL4CspX/xOODEyHe/vt\neSZxzybapYgJodC131mMUaP+5+r9WLi8mlt8UvmlzvIOza0O3Y0JlFVrDjGSZkHFM0iiV3NAFiVo\nQI7UvlTznIlUMqv9wB5Wyu2D1sRxhLaufmzdO7w7KdNknuAHKdFZjJFC09ET5htfFnYirBMHYRMN\nQVkvukhZgtfKumysd27jt90mf6XGOgqAUCSm+4xESyUJksvPTBerVt7JbgXN9CkPv7YVTe3Dh/Op\nG/InpERnMayNWlEULkqeFN45VEXQz5DVOw9j0rHFHOLWv+nNPQSZkjhxEEgHy36i+YoxEKYvHUWn\nYpgc5vT6LIO4YC5PeOfcvA8qUHOoi3OojLg0fLy2bC/T88kKNOFfDJXo+vp6rFixAnV1dQgEApg0\naRK+/vWv4/jjjzcVwfbt2/Hoo49i/vz5KC8vxy9/+UuUlpYCAK6++mp85zvfwaJFi/D6668jLy8P\nN910Ey699FJbiSLMwdrBKpBzlcEplpYdsPSe0yqA7Csejk+iLGSIKAklLxrp5dNCtNwByNSu3BPE\nqgItbGdCnkIhshRNJbqxsREPPPAADh48iPPOOw+lpaXIy8tDfX09fvOb3+D444/HjBkzcOyxx2oG\n/txzz2HJkiUoLCwEAOzevRvXXnstrr322sQzzc3NmD9/PhYvXoxQKIQf//jHuOiii1BQYO70MWED\n5qVocNEu/LbVKwt6RePZPOcwSFo+Se9UlvlsZmq0m+LZuugQ5nb7zFUaRVGk0DNdl8F1Abw7QSX0\n0VSiH3/8cdx888045ZRTVH+vrKzEo48+ikcffVQz8NLSUsyZMwe/+93vAAC7du1CbW0tli9fjtLS\nUsycORM7duzAueeei/z8fOTn56O0tBRVVVU488wzbSaN4E1cUZBjY8S3Ygry/rpavLe2Do/ffDFG\njRBrfWSlk3P7rCQvE5uBsMw95zmdz5IW7eCQ5/HR1Q0f5JZvzrOFvAUl6mIsGUnuf4SViLxFTUiG\npou7//u//9NUoAHg1FNP1VWgAeBb3/oWcnNzE5/POuss3HnnnXjllVfw2c9+FnPmzEEwGERx8bCd\naWFhIXp6eljSQFjEeTMD9hjf+mQfQpEY9h922Q5PAzNJSn/GFSVUkkHB7QUhljpIK6b66NZjwVnX\nmG5vKrhiebkmyFCPuRaPhQ409WChdgBxtzsownNoLu396Ec/QmFhIS6++GJcfPHFuPDCC1FUVGQr\nsssvvzyhMF9++eW4//77MXXqVASDwcQzwWAQY8aM0Q1n3LjRyMvL1X3G65SUcDjAZkBEpTPRi7ek\npBh5Zq+bVXk3J2cgvtGjCpjTN/ao0VzyZCjJajKM7B32RmImrpKSYhQU6NfDCRMKM77Lzc1RDX/i\nxCLk56c1ycCgLAGojuQTJw7n61CbGDEiLyP8o1pTlY6cnEDGM/3h4dW99N+SPxePGZX4PGp0/oCY\ngczwhlCS2urEiUUZ9S4vP1fz3cKiEZoypZOfr14WY8cN151kJVovvIIR+SgsGqn6bHHxSKa6+Paa\n2sTfI0fkZ7w7utB8GllhDS9HpxzTwy0oGKir+Xmp5TduXCEKknz5pocXjWlff6MWd55KeylIK+v8\ngsw6z5OxR43ChInD4VuJy2y+FhvU+QkTi3FUR8hU+OPGFWKEil9lkXmlVhbtfeo7B3mD5cgiz5ji\n4f6nN5rano+0BvHAyxsz3hk/vhAlEwf0l0KN9vbs4h14b81+LPzTdzHeQFMvLByR8q4Z+ceP4zOG\nyYhf02UGTSV69erVqKurw6ZNm7Bs2TI8+uijGDt2LC6++GJ85Stfwdlnn80c2Q033IC7774bU6ZM\nwdq1a3HGGWdgypQpeOKJJxAOhxEKhVBTU4PJkyfrhtPe3ssct5coKSlGc3O38HjaVPJRL97m5m5L\nSvRQeuKDbhL6+iLM6evo7OWSJ0NKVG9fOCO8nr7hwcZMXM3N3QiH9d09tbUFM1Zh4vG4avgtLT0I\nh9MGG2VQFo0FkuaWbuQMKqXR6IAsoVA0I/yOztSyjseVjGeSXVcl/5ZeH7u6+hKfewcnHoqSGd4Q\nbZ39SWnsRkdHf8rv0UhM892enmFlwahMIhF15aytLYii/IF6m7zSpBfeR2V1+KisTvXZ7u5+prr4\n7qfDlxj19WfWu96g+TSywhpeTKVeaIUbGqyrkWhq+bW1BdGXVI/Tw9NTotXijsYy20skzc1aJJxZ\n53nS0dmXEr6VuMzma7dKnU9WUlqau9HZaa7vbmsLqpq+iMyriEp7bmsPqj4bHSxHFnm6uofLoq1t\nONzm5m68/H4F9h3szHinrS2I/MG2H9Rob++t2Q8A2FHViOJR+boyBIMh5vrQ1t6LUbmeM4YzxCl9\nxU30Jgm6RqalpaUoLS3F//zP/6CrqwvLli3DSy+9hLlz52LXrl2mBRjaPrn33ntx7733Ii8vD0cf\nfTTuu+8+FBYW4pprrsHVV1+NeDyO6dOn06FCp/DQhRuybrKJtonmEX5/OIpgn71bvozRcdvn1HXJ\nZvLK7YrkdvxOwTOdZkymOEbnNubavMeUMY4FpOfdpyBfY5EnKX7DnPNTZSKEo6lERyIRbN68GatX\nr8bq1avR19eHiy66CLfeeisuvPBC0xGccMIJWLhwIYABO+rXXnst45lp06Zh2rRpFsQnvISdA3Af\nb6wHFOD0z423KwWc7CVZYrNkjpfsMUUje3/1+CrzYZnAzvDN6iY5G0wUvZpErXrgSHoc1iEDgGMF\nZVTnWcRQGJ8XhVMy5OYY75SakUWIvDoFW3OoE/8qO4Drv/dFjDAwESTkQlOJvuCCC3DOOefg29/+\nNubMmYMTTjjBSbkICXFTodlR04odNa14ccZlOs+04NPth/GLK0/XMTuRYUjRhod0jl7YYmFEcvqg\nU3J2uH3ISu7a5wxenBjJJ7J8Eukiyk20gOjd6CP+/I/NAIDJnz2Ey8//rOPxE9bRnLb96Ec/Qmtr\nK9566y0sXrwYmzdvRjyubctGeA8veOdgYfYbO7B5TzNufGQlnnxzh9C4hMGYR050+Idbgli1/ZDu\nM2YXBkVWAY9tcCeQSW4ubZRzIY8cIcfKnFRmSWZRFM/p20ZYyZ/+cDRxJkdmYjH5ZSRS0VyJvvPO\nOwEMXLqyevVqLFiwAHfeeSe+8IUv4OKLL8bVV1/tmJCEv3Dixrpt1S3M71hRIIxS4kaXaMZsRi2t\nWkrCrx5ejqhB58600uNwpiSny+1VULX4vT5ssucp2wtfnfIZziFaw+26k0AB5Jp6GeP2DtB98zZh\n0rHF+OPPpnKZKG6vbsVRhd47u7Vq+yH0h6L41gUnui2KbzC8veKYY47Bf/7nf2LSpEk49dRT8c9/\n/hPbt28nJdoHsHcmsowi9uGlyJuyZmDJZw7LULxX/I0UaCPcrjXSKD9+Q6Oq8rbDzVcxzXL86niP\nMlAW7jcAUW2Qpa+rPWLeg4RRuHWN3Zj/UWp4cUXBgo/3YOoXjsappeNMx+Uk8z6sBABSojmiqUQv\nW7YMW7ZswZYtW1BfX4+zzjoLX/7ylzF79mxDF3QEoYcUnboEMqjCas6RcurcvGLB65bD4bgJc0ha\n76xgMSmsCpW0bVUQJi/0FixF9mJV4a852IkVWw5ixZaDqmd3mjr6kJebg2PGj9aO2+Fy7emLoHBk\nHvfxIJvQVKJfffVVfOlLX8LMmTNx+umnp9w8SBBWkL2hJndfIQP/z6Ik4HKw0Op7Dhz+YV0l5z2o\n0Kq0PlayJ6NZ28jjGx9ZYe1FB8rVk3VHcV5u0b283jji5hBjtGP3t7d2AoDu4XgnaWrvxYxn1+OC\n047GL688w21xPIvmwcKf/OQnuPHGGzFlyhRNBXrZsmXCBCPkw25n7KjXCJvc9Pgnpp6z0mfLMJnw\nUlnYRSupyzc3oKMn8+Y3obI4Gpv3UFNE1MpPgibkGl5cmc+K/obLoVz7QZhlyLxlQ0WTc5H6EE0l\nuqGhAddeey1ef/111NTUIBgMJm4UfPXVV/GTn/wEDQ0NTspKOERujtgRyl17Rv+PvsJTmBSBqT4/\naXBRIHBlTNNGN2UtPPHXgo/3YPYb2wUJo4HawUKPKxjp4hulxrupdUhyjjME7+a1Nl7owdu6+o0f\nchmPdzvSoGnOcc011+C73/0uFixYgNtvvx11dXUIBAI48cQT8fWvfx2zZ8/GxIkTnZSVkIjWzn7c\n8cxa/Ow7p+KSs4xPz8uDTs/h1BgpOHzhyXByZVBwYg409tgO465n1+Gkzxxl6llfjVte0Ga8iA+1\nGx8mSZffPr3WbREMSV5cWLX9EM7/wtEYPdLQ1wSRhm6OTZw4EbfeeituvfVWp+QhHIT9gM8wGyob\nAQyc9mVVor24HSkrKWXoBaVGEVf+mjscyZetpEXNI8sa2/vQ2N5n+X0ZzHt4ohj5JvZi85fI3bLC\nYOesKIoUOx2iJBCRNBnyy2nmfViJyrp23Phfp7stiuegaUcWoiiKKwO37MqCDF2nDDLwxu006cYv\nQZXMxkGbBTPZ48TE3LFikryf9DuHWoJosjEptoObPcGBJvu7ctkIKdFZxqsf78GyzQ14ZvrX2Bus\nj8Z6J+2yxQ6+/AJ3QklwxTO5ovonACDHgsJS7+fBxlKGO+9xxWk1k3bPbKLTubDeJCh6jjH/oz1i\nI5CAvlDUsL9ft/sICvJy0djei+PGj8Y5ny9xRjiPoXmwcIiVK1c6IAYxRF8oij0H2oWFv2zzwGHQ\nI229zO8uWbMftUe6LMct04rb0KBYUduGw61BcfEwJFme3DGAdRBL9XEnLqGmDhbaZ/nm4QPVzC77\nJGoDouCdRDcU2CNtvXhiUdKhUwdF8OM6tFb21Rzqwn//boknruR2Aqf6h18/sQrPvVuu+8xz75bj\nqbd34s2VNfjb4p2OyOVFDJXohx9+2Ak5iEGeWLQdt/91lS1lVRQflh3AffM2WX4/2B8F4LZ3jlQe\nWbgNdz9XNvDBKQVHL/leGEvUnV1YD87JNKfbRNusilmgE5uALRNZ86yxrS9j9V+0adgL75dj575W\noXHYwWwWsthPi0RPhLgycOmH15EgmwkXMDTnOPHEE3HXXXfhrLPOwogRIwAMdGBXXXWVcOGykeqD\nnQCAg81BTDp2jNjINHpX0Z1uZ29YbAQmkEmRT4Z11S31xkL7sYsgXedmiYXHykxyEOn5a1cZi9u4\nYdLP8Fw9/mB9HT5YX6d/SQXnfI1GUwMccM2YJYUnAoOsC0dZLrcabrNW6hkVI8ETQyV67NixUBQF\n27en+lMlJVos0VhcaPgDnY81BeLdNftRc8j6Snk0KjZtjmJCCfObPaWXUxOLpyvR9sLz24Dss+RY\nRq3NOpY3nOf3TpeppTbFIKSM5y79MMGSMFs9gaES/eCDDwIAOjo6MHbsWOECEQPIbCP29qf7bb1/\nqEWcDTIL6R2fDDnOukKuJrNs/XlyPrshW3L86Vv09nckJMtsV0hvR4q0Oz1WkalNySSLWYwWEngl\nyYyCLSL7Zr24AQ3NcoxrBB8OtwZRXtuOy849Xvc5Q5voiooKXHHFFbjyyitx+PBhfPOb38SuXbu4\nCUq4h1t9cVOHO+6DZEHUQo3tVVVL71h4y0UlIH1yajfPWOe6HtR/NNFTlJ3efXHAwZ0nC0+Be0bR\nm6uaccfTa9HZEzLMO6srubJMKEiB9h93P1eGBR/vwf7D3brPGSrR999/P+bMmYNx48bhuOOOw733\n3ot77rmHl5yES9w3bxOeNzidS+hjuuNn8tBhfVRwbEBRiUcGH+BmJEhX/Oybc0gyikuEWpa0dfXj\nD8+XobKuXRrFx9N4IA+fensnWrv6sXb3Ea5XwQ812Yq6dmzZ02xROjmhtqFPRW0buhw+UxXs1z/0\naqhE9/f345RTTkl8vvjiixEOu38wjLAPOVdPxbkOTF1zU3RO3WnqehZl5u6GjCFAx1cpBUbHHLbs\no6SgclxadgAHW4KYw8lVltNzNpGeGdlhKCOp5NbGSrN45LWteH9dHX9hPEJFbRuef68csbjzZ4xi\n8TgOtwYdW0RYWnYA767Zj0cWbsO9L210JM4hjExrTR0srKioSHxesmQJjjrqKPuSEYQLpHpqsBmW\nzfd544VDcux+lTnEmfwhI4/cX0HPJpSk/3MN14nGKPsESGKMso6pX/Bxk03PhaFLUUaPzFTVHlm4\nDQDw5dOPxemfG68b7tY9zdhew89l4/x/VWHV9sP4zbSz8I2jBXsRA7BoRXXi7/bukPD4kjGqmoZK\n9KxZs3DnnXeiuroa5513HkpLS/Hoo4/yko8gXKG5ow9LVts7ICkD6l4EjAckOwq3Wvh65hzpnZDj\nuojOzMn2sUKyifYn6XXWwah556rTdS4eV9CdseVucLDQTw2DI79+YhUA6Lp3TPc4pIapy1IYKt6a\nnUcAAHsbOvAN869pEo3FsamyCWedMhGjRsh1kbbRBM9Q2q6uLixcuBC9vb2IxWIoLi7mJhxBOM2Q\nrrexssmxOJ0bH/gNv/M+rMDU047B6ZP0VzhkwkrqHTflzgJlweiCD09mgWRmETK7zdzT0Ilbn1yd\n8h3PlWi9yZupiZ3MGrsl2SROj0mWbWrAohXVmHrq0bjpqjPcFicFo7sADG2iZ8+ejW984xv485//\njLKyMvT1ZY9nhWgsnmEPE1cU1B3pltoFHeEQFquAnuJmz8SWX51ctf0wHhvcLtSL00yMdqRielcj\nY/XNOezCaJ7CO3rOyC5fNmB0SJeljPTOWTgJz4OFhP8Ycns7dNmcTBipeoZK9AsvvID3338f3/rW\nt7B+/Xp873vfw/XXX89LPqm58ZGVmPn39SnfLd/UgHvnbcSSNWJNAahTcR4rhyS8uqHt1mKMK36i\nk/72annJTIa5jiu9l9g4FShSL2DqIfOqdQIr7jkI/+DhMjVUotva2rBy5Up88sknKCsrw9ixY/H5\nz3/eCdmkIN2n8e7aNgDADo5G+maobuhEr4GrFSLb8XBPJBIOWjS5ssuEyRQm6VkRWcnd2wzf4FxD\nCgXa5Gp4PK7ghffLE2MsYQ6vdk3dveHEzcw5g/2DWj8re99raBN90UUXYcKECfjpT3+K+fPn062F\ngugLRfHvLQ2qvzU09eAvr2zG8RMLcf8NFwqXRYqO1wOYzSceuckUhmW3dxZeNGXPMfzQwIoeQzyS\nd6Ds5jdyp4cLLiRRuG27RMXGbKIhgexm+so99R1Ys/MI1uw8onuQzs+4WVROLsGEIjHc+uRqHF9S\niPuvvzARu1r3KEH11cVQiV66dCnWrVuHsrIyXHPNNZg8eTIuuOAC/PCHP3RCvqzhn6v346ON9aq/\nNQ+uhh+U5LpsQhzpnQiLciDBfScWEb8Vr4XZS2JESiiTXu2V+Y3Tl/so8OgESAaRAzCUQ4E5LxND\nwRHD8GoKTlaV3v4oAODg4E2PQ2lQk8HtdmeUvYZK9KRJkzBp0iScc845WLNmDRYuXIgdO3aQEs1A\nZ08IW6tbcMmUzyAnR71IWjv7HZYqO5FhHOQ5CFhNj63DfozmEYLOPppHYJwy1Ce3SR/EncgSUqTM\n43oVddKzCWt/JBtWNgOlTpA6uWl6UOKTqjmHeHnsYKhE33bbbdi8eTNOOukkfO1rX8Ozzz6Lk046\nyQnZfMPji7ajvqkHI/Jy8eUzjnVbHIITsjduVmRMDo/zRqk6v1WjaGuvZQQjYybbhNlXtgcywXXf\n5pzwqNiEC5jpGY+09eLJN3eY3jXQImMxcXAmPhRq7ZEu7N7fhu9+qVT6tmeoRF9xxRW4//77AQCx\nWCzrbyu0UqD1g9drt/c4e9MOkYmuezlRjVXCXoDbSh6jjzv5ckIevLa6qtmWdAuZTw1ID8WZ2zbF\nxyECNbn/+sZ2XHHhifjCieMAQOzV0ZwrtnfN1gZQFEXTHEl2L9HvfLoPR9p6bYeToUMP/jtUV++b\ntwkAcOZJE3DchNG24xOJoXeO0047DT/72c9w2WWX4Zvf/Cauuuoq7N8v1r2bX7Hc+D3eaciE/AMh\n81E1x6NWv7GQIZqM1zk6zjaIL11Os3LTYVs2Gpp7NH/zZk7KJbVpaTQe3F7Tiode3Zr4vHOfQI8Y\ninG/qygKwzhnc0B0uSjlH4PEk54FCZvotMwJR+KGfpp5cKCxG13B9Fs2zWGoRP/xj3/EDTfcgA0b\nNmDjxo248cYb8cc//tFSZH7AzizY19fkMrK+/IgntnUNMShS1TRqvKMo2r5oWWoO4+KwcBSNv42+\nFSHBiPzclF8cv7DQD3XeAAUKXvloj9A40svNidXJ9IlUNBZH1YF27qu4/JNiXOeiUYEr0UQKRjfg\nseIHrUJXNxLcZfaHo7jnpY24/ak1lt43VKLb29txxRVXJD5/97vfRUdHh6XI/ICd+q91qJB3PF7g\n70vKsWu/XP5AvbjayHjGT2j8It8xg5YildyWJhw10txLOmGkfu+9OsMb5hwQkGVsXkWUhH9aO+G/\nt7YWD726Fe+vrWMKyy4sdc6LfZodTLVml7VOu/bE6Ti6ICIoMr16ynvSkU4oMtAXWC0XQyV6xIgR\n2LVrV+Lzzp07MWrUKEuRZTtet+XiTVuXtz2SmG3bGVtXbvfiGtjZIjadIsYOkUf3ybsLnjBmpPFD\nWYzs84rHF23HjY+sRJx10Ex7vKKuPfEvV+9KnLsHOcqDnxC2x1Ep8kMddyflzo1LmjuuaYXrhUmg\n4cHCmTNn4pZbbkkcKOzo6MATTzwhXDBZsdOAc0iLJgzQXE11Vgxm9OTzy2rtyIJc9IdjOPuUiYnv\neFiwy5Q7VsrKTK8m08Rx9+AOWCQax4iCXI2nVFxtpX0eSlFVfQfueGYt/viz8zHp2DH2BTRRBKYn\n8DJVLgPM1hB5ahLBCw9V0wwMleizzz4b//rXv7B//37E43GcdNJJKCgocEK27CILewbpGo4EB07Y\n3YVZjs3qi/Z8TAPOj+w6RtkszS7h2zQL2yorevdryNLuWVa51J5MXzXbd6iLjxJtQRaez4tAJmVe\nIlH44GCCRET1wvvl2HeoS0DI5rDbnWsq0Y2Njbj//vtRW1uLc889F7/97W8xZoz4DsLP6C5E+65l\nZwN8C628to1PiJZvYLEe+1DVDvZH8O/NDfj6uSegaFS+5fCGRbKfIzy2BDXF4DDp8ZtO3h+OOXhU\n1Dm0PAokfucllN8qBJEKjfUprNl5RPM3KwtLvInE4ujuDaN4tPrisaZN9F133YWTTjoJd9xxB8Lh\nMB544AFhQnoJNwpUpq1QPyOsaLX2gdMIRWL24pGgmrz+72q8/el+vLZMwzuD4sIYohehBHnm9TE1\nXf7Zb2w3eIHHpMbZXDMTn+gDUJaRVKxkmLJOgjYrClmrUALpBeTPc++W4+o/fKj5u+ZKdFNTE6ZP\nnw4AuOiii3DllVfyl04wnT0hHFU0wm0xzOHjjoEwh5YDflbMdXNiKtzQAauWpINWMve7DP5yGL7V\nC0XnDeoDHEWvXqr+ZOjs2I40A/T0RUw+aS4yv5xHMA21IUexvunJ8qLcdVhzJTo/Pz/lb6/ZQX+y\n7SBum7MGK7ce5BpuVpwNlLvOSoPVDkSrCgUAV/NeLeodNa0GL7EplyKTx/MWMF3kD1BaFEE7EU7k\nYKY5R5onAQ4Ka0tnn/HOI7NTEX/VL6/vzMpaHjLoNukybNvbgk+2H3JHGJNorkR7fQZbVt4IAFhf\n3ohLzzmeW7gyZsu8DyuwrboVj998MXkAsYGVojXToaeHO/R52aZ6rNp+ODkwZtTaqUnPx6aeUtua\nV79Axrzwux32Dy5jmyXYCUdiyMkJIC/X0DMrd8zUISduVvMiCsz1Ntk8cukdxDXCSaWcV0xmw1m6\n4QCnGHWwWfE0lejq6mpcdtllic9NTU2Jz4FAAMuXL7cXs1NkwQg6pIjFYgpy8jh0RXZadBZhN4te\nXbY35TOvCZDMRacoCpZvaXA6VpW/BjBrQpPSjQS0fmASRSNA/2O1S/7lY59g9Ig8zLntEr4CmSVN\n7vS7s2RdYZRVLLfwygKhtDb2AvFiT6ipRC9dutRJOTxDViz0Zl/bdRStKmRFiU7V7exVTit9tuYr\nOmHl5uQAMHdjHI9xhPtYROYcrtEbiroSr6qCnGHOwScuo26AyZpUgqrFXWnNhjEYQCQi4VXsEtQn\n2dBUok844QQn5RAHZ61Xhk6JEITbhataVeUbMXSdXaiIm66A5KYv4XkAXjbe+o5CvJcvWYMJW26R\nK5zpYTNdc85ZFisY5Q2vVXwvtCHmA61+xEcJdd64zGncVox4IH+/kJ2YrFrpA4jWvC4QEOzTmPEZ\nM1ipmiPy5el2LM2x7bRHnYyXwRxAVHfJewdP+A6Fym8Z7di+CMJxv0YxkBXbvBpIkHQJROCK2Umt\n3XTLM5oR2YenenjxfGZCId+lTQcwE31yX6YowLcvOFHzdyvhDyH0ynRF/W8uJtGE9Lhtyp5Szxgr\nndvrSGTNIRhO+WuqL+cTlXY4nCZSrZ39uP6hFVhaJv5goq4S3dnZiba24ZP0ZWVlKZ+zmWyeNPsV\ntxUcXn6ihaNmHjr4b3lt++Aj2q7vCjncZMhC8oqEzKuJXtiKVoV1IuG2VseJ9PKSMllSCkWYQsLu\nIMOsyPVRU50dNS0AgEUrqoXHpalEl5eX47vf/S527dqV+G716tX4r//6L1RWVgoXTHaobyJ4dyCK\nosRVFKAAACAASURBVDB3nCkSMLzrFX1dFmQdLNzE+1WIzbA4vc93og39a9DFl73a527dZd2tIgZx\nOE9kaM+8ZHAy6zSV6AcffBCPP/44Lrlk2J3Q7bffjgceeAAPPvigI8LxwA9t0+6taoQ4rA2kOi85\nVIRqg5bZFUJTO8ua35s4oWUqIF7IMHTIA5PnB2FSWICzMOnBmZlEiciP1/9djbaufuMHNWA9BCwE\nRSElmUhFogphVxJNJbqrqwsXXnhhxvdf/epXyaRDUiSql95EgvxjFkGWQs/wmSsPellkVpHglc2y\nFBdXTORhODrgrsvLyU+X3SkdNBqLp1Qc5mMTvFzLeADv77D5sFBkx2aWayrRsVgM8Ximn8J4PI5o\n1B1fnX7G820/C7HqBcP7Hb0x6YcJE38LjFMrW0WaYvCw7/W8Ym1C/pVbDwIAQuGYmPRaue2T5VnV\ndiymIfMMVpaqZaYNmk223exxu72p1iW1VJmd4NsTJ8GBph7M/ecu9Dngi12WeskDTSX6/PPPx5w5\nczK+f/rpp3HGGWcIFcoqh1qC6OmLABB/SEtGRUj4yVnOyNaQrMhj6YIS2RLOiqotiOEXSb+YzwAu\neSVRfusp3TL2KXq4KW5GPjrRDo1eEOkn2uAzjzBFIVHzIwzYUNGE2W9sxz+Wqp97Ez52udCp2E2S\n5mUrt99+O37+859jyZIlOPPMM6EoCsrLyzF+/Hg888wzpiPYvn07Hn30UcyfPx91dXWYMWMGcnJy\nMHnyZMyaNQuBQACLFi3C66+/jry8PNx000249NJLmRMSisTw++fLUJCfg7m3s7/PSlYqT4Ql0st9\n/+EuzefsuEyTSQdLXX12aCnaYRqae7ie/pajf5BCCENESxmPZ8bgVs5kKNBeM1yXQQaPkOrKkP39\neFzB0+/swoVfPAZTTz3akgx7Gzqxt6HT0rt2kWkMM4umEl1UVIQFCxagrKwMFRUVyMnJwU9+8hOc\nf/75pgN/7rnnsGTJEhQWFgIAHnjgAUyfPh1Tp07FrFmzsHz5cpx11lmYP38+Fi9ejFAohB//+Me4\n6KKLUFBQwJSQUCQGAAjLeFWmU3DqrAL8gvI9Xls9HKI/HMv4zuzgrPqYzDbROr/ZsYl++NWtiZ0v\nwjw8zGt21LRykESbmIopo5vYmWBJ0RbdW8T3BAEbg25y3tU1dmPLnmZs2dOMqTMu4yKbCESXN9tE\n054wun6ic3JyMH78eBx33HEoLS3FMcccwxR4aWkp5syZk9h6Ky8vx9SpUwEAl1xyCdauXYudO3fi\n3HPPRX5+PoqKilBaWoqqqiqLyckky9umJXjk2ZG2XvT2e0vB8KL/WjteNoSisaIiVDKht61kYkWB\n5nHIUTa86v5Pr53E0laiFQXGiiAHmdSwdUGmCamqD3bio031NmIxkoEzXm0oCVR2OdQyyevJzBI0\nV6JbW1txyy23YO/evSgtLUUgEMD+/ftx9tln47HHHsOYMWMMA//Wt76FhoaGxOfkTquwsBDd3d3o\n6elBcXFxyvc9PT264Y4bNxp5ebkp3xX0hBJ/l5QUIz9/4Pf8vFyUlBTDDiUlxTjcEsStj69AX2hg\nBS8/nz3c4qIRmu+MGJF6AUVR0rNjW3pTZNFiwsQijBqhWaSmsJJX6e/0h6O47sF/o3BkHhb++Xua\n4erlBw/5WJ8NMfb2EyYUoaBAP7/HTyhESGXVV022seNGIy8vdV4bCBiU+YRCTDhqFAAkZCkoyDOV\n9vRnlLQ2pUVR0cjEuyNHDtTb3JxASni5eTmJz629w8rmuHGj0ZGmfObptKXRo4d3pIzSVJCvLn9R\n8bC83eHUFca8XHPteMLEIuTkDIxqo0blW+5T8gsy42NJIyus4QUCAdN1Z6jPyjPoY9N/Gz++iEkm\no/AAIC8/hzmtEyYU4aiiEaq/pSs1xcUjMG58YYoMI9L62sJC/f7MjHzjxhaiJ62ODuTXsEATJhSi\nqTuEdNTCP+qo0cjTmOwN9S3XPfhvQ7nsUDi6AMVjRuk+M27c6JR+Ui+vxo4dpfp7SUlxSltSo6Sk\nGKMLxbU3M0yYWIyi9AunBleik+tQf3j4gJ+enEcdNZwf7X3m3rFCSUlxxng3elSBpbhyNMbNnBxz\n7djomeKkdm30bG6S7mUlzzQ1gPvuuw/nnXce5s2bh/z8gUjC4TD+9re/4S9/+YslX9E5OcMKQk9P\nD8aMGYOioiIEg8HE98Fg0FBBb2/vzfiuqzec+Lu5uRuRQfOOaDSG5uZuZlmTaW7uxtsrqhMKtNVw\nu3tCmu+EQqkdXU/Ss52dw+nVi7OlpRsjDZQ6I6zkVfo7Q2UR7I+iubkbJSXFquHq5QcP+VifbWsL\nGj+YREtLD8Jh/ZPMba1B9EcylWg12drbg4hGUwdQRdFPR2trEPFBGcJJ/5pJe/ozrZ19hu8AQHd3\nf+Ld/v6Bso7HlZTwopHh9tGR1F7b2oLoSvN7m/xsOr1p7VqNaCyOvNwchFXyeUDevsS76WUci8VN\n5VVrS3fCTravL2K5T4mEM9NqJo1WYQ0vvRz1wh3qs4z6wvTf2lr1F0nMxJ1ONGKuHJNpae1BuC+s\n+lv6SnRXd39K3Wlu7s5o+0GD/syMfO0dQXSntY/Wth5MHDty+HNrEJ0qbVUt/AMHO3Rd3PGub2r0\nBEPoGqE/QW9v701pv3pydXT0qf7e3Nyd0pbUaG7uRjAorr2ZobWlG30j05TowTIKBofrUMhkfnR2\nDudHR4c5XcEKyW1+iN7B9sMaV7vKJBAYWGi1Mnal0520qGr0bAfDs2pomnNUVVVh+vTpCQUaAAoK\nCnDbbbdh9+7dzBEBwGmnnYYNGzYAAFatWoXzzz8fU6ZMwaZNmxAOh9Hd3Y2amhpMnjyZOWxt91bZ\ngwy7+IRdUgsxGovjjqfXuiSLdeKcTDiM6vQ//lWFGx9Zie7esHYfwKFdeM3zjZOwXlcuTR4wHtBz\nwkxKKy+tRv3C+xV48YMKGxI5gwLF+1YaJlG13MiStMuI3WatuWw5cuRI1e9zcnKQm2tu23eIIXdz\nM2bMwB/+8AdEIhGcfPLJuOKKKxAIBHDNNdfg6quvRjwex/Tp05kPFboD1XqC/6CqFmKryRvLbNdI\nrh5nnFGVhvwPNzRZXN2kZkwkoSgK3v50H7qC+iuawuKH4s86ybE7sJ890kzjOOG99EhxbocT9vb+\nTXDCCSdg4cKFAIBJkyZh/vz5Gc9MmzYN06ZNEy0KV7p7w1iz8zC+fMaxyBEwjfRTJct6zF6nbUmJ\n9UA9ceJAlk4b1D3MZzJ4btnshfJihPVgoSw5oCZHU3sf3ltbZ+pZK89YJeWcrsfqkMfEJXSoOaTu\nnjWb0VSiq6urcdll6i5SmpqahAnkFVo6+/HC+xXIz8vBBaexeS0RhSydlVcXUkTkn6OeC1zYE2R1\niMHuB9vcC1UH2lF7xHn7Rlbs1oZt1S2Y+84u/OFnU3H8xELjFxhhkU/0hVYsWGpnKpUxGnPXtZ2a\nOYewXHao+EyVDEPxKQCCGp6fJKqSviTdI9Hehk6U7TqMk46xd1jYTexOSjWV6KVLl9oKOFto7jB3\nGMuQbGz9smj9FpFOepv5afZtM52O5mUrgliyplZbFolKyq4k8z6oQDgax/LNDbjm21/gIpPjeLTd\nG19YKCZdisCwnYJ3GzzQaO9wqpt4vChTqG7oxJ9e2oAXJfZJLRpNJfqEE05wUg7PonazFQA0tvVi\nwlEjkZer64p7GN2WZXrT2eRzhIxUHmjHwWY2DyFuo1Vt9QZ9xwcRHretyIafRmIOsB5uBNSrhfYO\nSuYvMq3Ey42ILT7rYXql6VipXWpV0ksTMF5Nysk0C7eJdh1OeakVjJoOXd/Ug1kvbsCZJ03AbT84\ni48AhHBYq4qtG/5UeGNFDaMEadjsgew0FT2FwlZ/JtizhnmbaD4dCaldYghpuDfUg/c428RrV1IN\nATqBlYmHVTykx0mDlSxLz+eFy/fi443iLtKxip/qg8llUkILtZXoA40Dtpk79zFcTcthCuajekmY\nRP3GQsFxmnhGY4NGKtMKwPmFaLlSr4IDAoqIIi54kqPAuO6u390oVIYUeaSvSMOYkZUpOV5KvAPo\nZcdHG+vl73OScGORwW518o0SLXprTSt0Xp23n/DsNqfHy9KVDkjzB3nyMhSJocXmKiG31NgNyKtt\nSzDCc8Xl6ixPa/I+EnVNGdiVjboH5/GNEp0O78okcbtLIHPn4Fd81Wfxtk/RiIJlNZpHlX5t2V78\nbu46zRP9TiLbSrwaWreJcUOSLFAz0dETLf1xt7xm8Orn/alweTNR/iwLbWTqB+3K4lslmhRK+fFD\nEfF238Qev37gbh0qkbFsu3sj1jtMkWUoUWaFIjHc/tQat8WQDomKyJ8ovHYwqaQIZ/GtEu0UTswg\n/TpLlUl5APzZ/bKkiWf6k5V3WU6H82pGtlYuBB90dgVm398CsNFJNrb1oupAO0dh+CNLG7JCXFG4\n9vXezYkBTJel1xOqh2ba+PTSbDb29uLyrRLtV8VTDy93tKJRFAUVtW2IaZ14A9DSYe567eQwXcdI\nBBHepcw8wytewVlsdvVLZHJY+qos7NaEMVRH7/r7ejz06lbDh51q7kZeM5TB/wg1jFuIzHkns2yE\nOv53cccJlsFLBt2KSKWsvBF/f7dc95kXP6hgDre1y0DxdqEuyFz9lAE3B+6g0ogt+WLlrMpa6S+2\n7mlGh2jbZUE8/fYut0VgRrWIBM1oslGRcjTN2Ze9hA52q4NvV6J544V25wUZ3cLMDVe9/VHmcKNR\n42uCnSoXVUf7rPfpmnou6UEtV3YSVkZbOk+yeYqgEg0EgFjc3LXTXb0RbK9hcKEpEQ3N/G+bs1K2\n6eVotLPkN+U2HlewuapZfESMh4lNBulL7E7QnfT9bQfh5Sdg2NPC90q0+I7PG5VWRqQwh7CBApi/\nkVKgDJlfKmp/CiVdgddqd6ztkfvg67arMp34ozEFP394JXr63PcikhWwDLQqOygiev5HXtuKI629\n6vEnPvCJSwHw1Ns7+QSmh4OesrwwGut6gPHt9MC/+FaJ5t2YmMw5TDaEgQMX2XviwmPi+h6+BwvV\n/xYesR5qS/UmG3ayiPZWe4wTe6jFW1e/y4Bf+pLeUBRL1tSmfqmWOA8leERerlTySiRKEl5Q//kh\nVRnY1MF8q0TzRkSh3zL7U9w3b5Nj8bnBqu2HUF3f4bYYpmBeBZCgkNRtNcV2yLaSrUhlEs3FDIDp\nXROven2Hxiuk57Iscz3Z4rbLsRNGGz7jaJX3SGaa7Wc8khzfQkq0TVQHYZO1ujcURd3gFeHMcViP\n1lHmfViJ22Z/ov6jRYHjcQVvrqwRYlvJjInCcVwpctCcQ9NsI8WG2Eb4HOW3tX6siLuJk7Zw3YFy\n3Rlqj3SjyeaNoVxxe9E3qeL1haJYWnYA0Vg847fsxPkMSI6xuqET/WG2s1H+V6JdrpR1R4yVZIBT\nu86SFawte5rxwfo63PPiRrdF8RU8lX2tkOSroeZbHo/8sR2C2wqArPCouzqeYxRFZQvFKT+qAaQd\nbPUWS8sO4P11dfwCtJsBEmXgmytrsGhFtdtiOI+kuspfXtmMv73Fdk7A/0q0y9w7z5yiJ2eVsoZZ\nZcNqmvsGZ4pxloZoZrzznjWHamek6HziHaWmfXDKQSgpckrdxZ0ESqlXTtRrIUnpssNQLwf0a8+m\n1BOwtEWtkjAThkzlyGOFnsy/MmHKkbSHK+rYLl7yjRItU0VySxJ5csAkFsvM60qHkzhpzpF8IE6z\nPbpYSW27j+KhcaukP9PVmv1ohnjloyp+gVnkJQv+11mxkmWZNtGKnCv9KovgnuvrJUIiVSGr2NvQ\ngZVbDwLwV/319GUrs9/Yjmgsjt/+6BzXZOC1kqUbjIwdu8+wOglzu2jUpA4Y/C6CUDiG3z9flvic\nfDGkLB2m3bYq00TdLP/eclB4HEbZ+umOw8Jl4IaOHZIsxS+JGIRFzJaf2fom6qwGbx54ZQsA4Mun\nH+uyJKnYbU+eVqJ3ePSyATV0C9JkKXutk5dEXADAtuoWdnkU441BN9LoRpx9oZip52TaSgUYDu1y\nalzMfrIVBXMW78SZJ0/ApWcfz0UGYhCbReqk6iJL3y4KRVFMK4ORWBxK3B8ZwqMOeW1yz2SG6QE8\nrUQn469i8Sd5uQFEY/Y8R4jqMFgPE0hDsn2y+pWF5oOysSceCKTGpVVOisJWhlzdqBst2xvg1IpP\nspidwTC27m3B1r0tuPTs413f+VBDir7XghDpg7leXXM1jTIWuos8+eYOt0Ug7CJFpzGAXZ3CNzbR\nGXhki8MUXksKY53csqcZLZ3mDlhc/9AKLN1wwIJQYjB1XtHFDkPEyi/7rYNyoECxVRZcJnCMQcjc\n9GXqYvXqZDQWx+79bcNuxAZZsZXB1EXlYizH0q828ZSlURFcsVusMrXJbME/SrSHO5UdNS3o6Q27\nLYYrNLb1Ys7inbjr2fWm35HlRreBKidfr2W1KfBsQj7bseOGarZQXgll8ap9eOz1bfiwLHXyXXXA\nG5dAZaDRuKoOsHkVkI2sOTBOnaN4F6gO5rF/lGgPM/uNHahM79AlMnUQhQIF3X0RAEDMgzZuc9/Z\nhSNtva7KYGiTLSJbTYSpaH5gjYqnPUfmV2YHbl6XrZgqjxQfgqlxeuUQkUxUDrqsqjnYmfI9S9uQ\nqXfqD8dwqDVzIeGhV7e6II0Y3l61DxW1bULC9tgwSQhGrT48/c4u0+/7XokW3V7UBjWvKbO8YUm9\nl1WCPQ2dGVvEnobnZSuaNtHuHS1UjZfFN62odu3lRiAJ1opGnGtBkdz/8ia+l5dIyLtra/HIwm1u\ni+E8HqmD0mNzsWFTZZPpZ32jRMtU98zI0t4dMh1e1mxzEczIOmFTUv6WU0YWhKZBJ2hq+Zm4UecV\nl13cJcftxV07mXC7P0qJPQsbeCDgQBtmvEjJDr5Rot3Cahvo7Y9wlQOQaCVFU5C03JJFXh8jok6Y\nCpJXvGKtOZjarxveOYhMxFUt/ZCpXMShKHBOoZS5IC3kgTTjfpbiWyXasQmexYgM671LM9R1u444\nFpcCZOVMXDgWDZJteLhDPG11THe1xzV7DsX6KlTSa6t32rk8xEfuOTxGhrJh10+0g/bpbq+eukVj\nWy/6w1G3xXCO7Cxm/jDdIU8u7gZwaTrG0pEqioJwxNylFFbg0dE+9145B0m0oB7CaUTneCQaV40n\npTkqGt97jKG2G45Yt4M3k/w99R1MNnlZh0om6tUrHrpuLB6X1nTKz9z19/WY9eIG08+bGo9pYup/\nHGyrvrlsxS1Y2uOry/bi1WV78cz0rwmTRwbYDhY606O51W8qcGEVyWpiTYqZrEz0aawS8erDuLrd\nU/nOrIKlcJZFjyVragEAL864zKEY7eFV3VLtshWtpLz1yT7xAmng0exlQi+NzR39zkXmAGbbi1fb\nldcgm2gJicX0i6UzaP5QIRPSN7pUjYVWduyjloXVDZ146u2dmr/zFcD4B41FaVs89245Hn+d8fS+\nTfccXCZigzL09EUQixuvaNOiWSZWJ6X1Td1MrqukgrpKblBWuksAAfHjkoOmVr5ZiRZdJv0hjRW3\nwX9bO/sRUxQcPXYUQgYmGzk+9/XK0kB8nhWOkpyXm6uaHYlTq6hZrlC2ohSt283Hdp9lJZoXoUgM\nt/z1U5x4dBHuue4CjiFnM8Yl1NET1jWTYT3b5lTXRV2kf0nfic0G23dH0uigE3haiTbJkO1nOkOr\nqXc8sxYz5q5L+U6LnJwAN2fKya7yvNb8aCHaPqLNHSyHpWUHzVrovL1zuL2VCyA4eMHQgaYe5vdZ\nXGP6FTNVaNX2Q5j9xvYMkw2jcGTtkmSVy5P4LDO9qHhrSdzWFUrsoroti1l8sxKtBS9FTdM1p4Xw\nc3L4rC2s23Uk5SCg95pSduDUZEGtVrnlj1PGjt1WXgjMR/lyyhjZTLHSpZn3YSWAgR1Cy4Ho0Nuf\nRR4jnIBTfTIzssrYN/HCCzeaGp2DcmIXtaKuHXFFwemTxtsOyzcr0cJ1BY2GZyVaXtW8rKKRU0jO\n4IH27WnU6iJL/TSrGCU/Zm5yqW4fLQNOV0lW5VO2/PIaeuVrJ2/buzOV8zM+Z39AVkOBfJMWWfFC\nLm2sbEJTR5+JJ82eQEz6k+qJKR55bSseG7wR026e+UaJFo1WPqsVgFGZ8Drpn2Fi4rEG5C1pJcVM\nZXMB3WiZbpMSm4A2k+YRPKWwulok06E4N9sut27ObkBpxTh6pP7GLik4+mTLGsvC5XsTpp9Zi4/a\ngn+VaM4tMv0yiSFGj8zP+M6oevCqP7GYdX+1ItEaLDIvO/BPQ5IBNy788tLKqpqoLDbGrsieFCn5\njuaLrQOuKhMhUd1ZNiiXvLIuG/Iqg6REe8Gcw2/4V4lOwKd5aikLxaMylWij3lTUioTXVFIF9k08\nlqzZn103WqVhOGFzRAp9ZJorWRZF4ZMOF89V8sVVwRh2/wTpFAELQUtblpLgVP7IVA7p45+lPkam\nBGUhWaBE80HL9lNt9YJ3nfbL3DJDYVbsX7byzqf78e7aWlth+Aa1GYlgDVbTJloLhdFOmzF4sWHx\nCcEPi0Wp/Z68o7hu/5Imtt2mIioXBmyiBQWejVBeuo5MRWC3bflGiRZtb8YUvpGZqqjVKJlqpoNI\n7fZL/IlXbnGZfl3Tf53G49bE4Y+N/BGqyOiFS9pTBvxuw3Q4b6koxWNxghqV0DSSqos38I0SnQ7v\n66R5+u7m1XlTI9OHDvKIryPsC9HulYkstcEHC9Fp/aH7KdJq63qr/na6B9VwRbpBlKXyCkJJ/I9H\nQLYfkZKd+1rx84dXoO5It9ui2EJh3Y6UHN8q0VYGa0VRVP1/Kopi/rCcqYjYFDyzQ5Qs9dJs0rjJ\nK0vCNRA5AKbqMs4ddlKN38RD/1hahe7eCOcIxDPQB3AJKPM78xYHBGTKk/Tb5vTxs39i0fxjaaXb\nIrjOgo/3IBZX8K8NBzSfcXM6G4nG8fCrW7Axyw5A+1aJtsLC5dW4efYqHGjMnOkx2XEajLZ1jT3Y\nUdPKKJ39eN0mwySak7ymQnF/scxx9G5rs4Oi+cGYls5+/HP1fp7imEeBLQ2MhxKkKoLWeQvJ2/Mw\nXpHTu2S7Ar5y2yGh4XuiqWmey5KDirp2VB7owDMSueI0g17bGpGfa/i+b28stGLO8fGmegBAZV07\nTjymOPE970pq6lpLWVqGBWTp8BX4X3fWU7S27W3B544bIzZ+wWUt1cFCAUnt6g1r5qHsB8pcc6el\nkieazjl0ZEzPW4Vxh9C0EBrxEcO8s2ofTuNwe5wpqCAEYT5fZSoBu9XBt0o0b5hsoh2qITJVRDOo\nyctjHJZ9xc6pSUV6Vgb7Ikx5Y1pOtnOF0kyq7MIlFUpqnv3mydWCIxSD202uIC8H4fTLppixngjH\nJxAS1wUe1BzqQs2hLrfFIBzA7b6DN74x5+BaMGq2pS7Osvy+mkpYp6PHXc8kfOyEOYRhJho73jlc\n6Pjlnny4eUBUwTfOP4FDOJnfmFWOA1Dx8WtbIsIJtPd95CJjp2RIRhVXsQCwZudhvOOWqZwOsXgc\nLZ2p15zLsvDVbOr6dX18vxLNa5BXNBziiqoLls4rylEvNYXPtIl2QA6fz0Bmv7EDN3//TJz7+RKX\nJBB8HF6aSs0HBdqHlDOetWte4BBOS6ioGZZzsiuXNb/llMqbSFrEpunoDmH55oaM7194v8IFaYZJ\nz9e4omBTZRNWbj2IygMd7ghlQEdPCHm5OmvJJvQH3yvRvGDsigVJ4S8ol/iwo6ZFVYlmtam14lWF\n+bIVl7G6ussrmcw+4iXNX1nlYiFzpY/hXbAflPZDnhFiMVNHKg90pCqlki4Ubapswtx/7nZbDEPI\nJnoQnlufmbsl2mGr3ljIZfWbPRBZ+mgWwxcetoUyD05K4n8C49AJX7hJgOCFaJ7IUk/MyvHOp/vx\nwfo6scJwQNIxPAn5JTRC1hVy2bCaS57OXklkTxejsd2+qYRoeNwn4hslOh3e5z7iXltyyyK0SkbJ\nBnuOZNJtNEW5uEsK10veOWzBMS/N5pnMCrQ05TKIZh+gN8FU+ZHFJpod2XItW0kth97+KOYs3uGK\nJOn1yC2HN0LwyMzE7hjmm4OFojm+pMj0szzqjqkgMuwCJa+0fuogJEK31J2wOzd6hJMMovxeW2H/\nYWueBFq7+tHWJfE19RboDWVeUCUSRVGpdlqXYenuIqqEa7KO+UrZyXJWbG2QxmZXf9Kn8b2kkzM9\nqSTqynUx08xdWYn+7//+bxQVDSiln/3sZ/GLX/wCM2bMQE5ODiZPnoxZs2axb/Nz9c6RFrQCTDq2\nWP1ZlXidqtSeazzpNogKJ73aKy3SYdTOX/HGaIPmw/V1eHdtLZe4bnhoBb5/yUlobOu19L6d9pL+\n5v0vb7IWjgI8uGCLZTmkQQGODJZDW1cIB1uCLgukgciD3yrjhO471E1JSUzSXWbPmfB4TNwEXrOJ\nDoUGVmHmz5+f+O6Xv/wlpk+fjqlTp2LWrFlYvnw5vvnNb3KJz5Vy5R2pyQmFV+uw33GtXBw5xKb/\n0hsra6wEOhx6WvCLV+2zHNaS1bXIy6PNNx4oUNDa2Z/4/IfnyxyN3fgbS8EIfZf6ZzmQRTetO9Kt\n6+tcxK3GIslYpJAkn0XjuBJdWVmJvr4+XH/99YhGo7jttttQXl6OqVOnAgAuueQSrFmzhpsSLRq1\nesL9XKEVtwluYlLe99fV4XCrtVXFlOhMiMHjAIG0KEBEpTN2YiVaL/yK2jZLYTZ39KEgLwdHFY2w\nJpQG26pbVL83tTIsS9uShEg0jlAk5rYYhuhuKQsINxa3ewGMRnxU/7iRaQrkhhTAvfM2ZnyXrIha\nNRmTBSvnFNzArjiOK9GjRo3C9ddfj2nTpqG2thY33HBDyu+jR49Gd3c3c7haGeGG6qTrdzCbDo3u\nNQAAIABJREFUUSmMLXua7YcrWaN0mk1VTVi983DmDwNGnqbDYTV3qKhrx8Fm7W38RxZuYwpviDvn\nrgMAvDjjMkvvs7Kn3tge8r11tcLl8BK36t20KJiXPqxEe7c5u3KWGm13+1xRFNQe0Rm7sryfcgLP\nmUDo4OuFH04oik0PXwHotkszQTuuRE+aNAmlpaWJv8eOHYuKimEn4cFgEGPGjNENY9y40cjLy018\nLikpRiwnJ+VzQcFA0vLyclBSomHPrEFx0ciUdyZOLMKYMZ3qzxanPltSUowvnjQR79m0Ay0sHJEI\n91DH8LZpclz5SXkAAGPHjWZOKw/S44wGMicRJSXFhpXdquwFI/JU3y0pKU5MaEaPLrAUtl0KRhZg\nbH5+xvc8y6k/rL4iWFg0EuPGF2q+ly5DW2/EVHy1jT2oPNiFR17bal5IHXI12mhJSTFGjszMOzfY\nUNHktgjEIJurMifegUBAtQ79/+ydeXxTVfr/Pzdrm6Zpmy7pSjfaUkoplLWWgggoihuCgwoIg6LO\nKOO+fgGdQcQFRJ35ySIjA7KJVTaVVUD2UkqBspQudKU7bemWLknu74/0XpI0SZM2bW7Keb9eSpPc\n5Tn7c57znOfIPVwgFBo3avAM7vH0lIISWjYkenhI4Oyk36eIxAJ4uEtM3uPlJYWT2Poh18NDwtn9\nL1zC29sVLi7mV6+8vV3hJBbqfZZ0ck9vInEWsXXSWaIvJ8+Ecc7V1dlk/2lLzD3P29sVsvIGvc+m\nxtwbFQ1Y081oKN7erjiaVoQVW87jmzfvRai/m97vLlIni+T2cJeYtTNZoqD3uhL9yy+/4Pr16/jw\nww9RXl6OxsZGJCYm4uzZsxg5ciSOHTuGhIQEs8+oqdF3AaisrMctneMbKyvr0dqq3THeptKgstI6\ny3ZDQ7PePZWVDairazZ6bX294bX1qKvvfnzExsYW9rm3a++kV/ddbSp95ammpglSEwNGT2KYv7dq\nOrpoVFbWd2olsLacGFpaVEbvraysZ5XopqbWLj27u7z59TEEKzo24q6m1RpyCqqhaTMdOcFQhppa\ny1xrLuVU4ZIJ14iuoDLRRisr69HcbJ9yIzgWGg1ttA6VV9Sh1cQkU63Rr3e3bjVYbOGurm5Ec7P+\npLOlRWW2DVVW1cNJdGfItdRqWl3dCC8vy6ND3a1UVtajsdF8+VVU1OmVW2VlPZo6uac3aVK2snVS\nqdSXU6M27ipUV6c02X/aEnPPq6ysR91tfR3MVFl8uaX7G6srK+ux6metIr77aA6emRSp93tjQ7Pe\ntaaorW0yG/XJkjba60r09OnT8f7772PmzJkAgGXLlsHd3R2LFi1CW1sbwsPDMXny5N4WqwP2XhbS\ntTxYHu2C29YKey5PNSjtp4wVlPe8wmyMQ2nFQJr5a8qrm3A2swJTRgfbbbmZ49WW4ABoNDRaWtUQ\ni/RX5xb996zJe1rbNGhqvjPJtM71A8Z9BXuqLpM2YhOMRlWxhyCEPkOvK9ECgQBffPFFh+91o3XY\nm44mfOtmKne9UtDL6bdk8nDsohGfYQI+3ngOjc0q+Mkl8HDlzrImw13flggW0dSiwt++/BPfvJoE\niZNlw1pLmxqvfHWshyW7Q1frsi1OdSXo4CB9Ssdj5e0ihsU42rEVDObl7Lzt9Z0dcKYjkTsmjiq3\nGXrbr89RGrE9aWy3xDUo2+xY5UhBEWzDzcoG1FroktEBK6phV2psWVfjm9PEI9pm0Nw9X6EDZO7k\nEPTZY79tibXKmK0bqYM0eYIDQ+oYoS/w2RbbbHbtFBMrkOba0ZIN57B0/ij4eWo3+5I2Zye4nPEc\nDstqrbtob2WzvYuTKNHdxGgB9lKpcnX5xHS4wZ7pFLiSbofGjpmoHxKdNvkbgdCTWOUTja4ZCsuq\nm1gl2hq4vt/FUXAYK7QRmltNbxK3N7tO5GHXiTyDb3s2r23i5WSDZ/QZdw7D4uLWHM56HLepG0f3\ndDMCcDT9pr1F0INm/9f73KxsRMrV8jtytHMhu4rUGwI3MdJWHFlBu5tw1FJqbLa/Ej0oTG70+44K\ndM9jq3mluQmqJXoksUSbgDbxt9kLLbn+LsBYpXx71Sl7SGKHd1rGxv3X7S2CHvY2dK3ZfQWBPlLc\nbrjjz/rNz92LJUog9BRZxUYO6LHgiNCc4tsYGuFt9fvs3T77CsbykUtWfl1JuLaflIY2tjrX6M0g\nOcYgSrQRjNUTq9qZDUpQr2Fb+Ly+YAlRqTUor1EiwMv6JU+C5YgEHReh7F1/Fq1Lsev7CXc5NG1x\nP7/pQFaXotnsTSnEk+P7W3XPj4dzcKuOO7GMCQRL6K25ib21nj7jztGjOWnnjYV3E//97RoWrUvB\ntYIai+/hkiXBURgS4aX3meQhgQCoNZa3A8ODWSy988zVMm17s/CGS7m3cLOyofMLCQ4P9+y83MWc\nUdzSfKRAdVvZ7ztKtJ3gkurRF/Qgxjf2RonxY9atoS/kR29Bg+QX4e5mx/EbyCut69YzLDGgrN19\nFRdseOInwXJomtv9XFfcOWhaG/P8bsHFgjjwxJ2Dg1hjXbZ1IzX17s7eU9/UClcT59f3JTjcJ3IW\nw7pTXddMMpJwV6M9kKnrhzKVVDUiu9iyyX8V2TBrR/peR3cp91bPv8TaFfkeyGaZRAiRkN/5hVZg\nTkxLJjJ9Rok2lRFddq3Qc0k28wyDmnKzsoETHeSfF25iw77reG5KNBJj/Xr13Vye6RO0XM6rxuv/\nPsF+3n+2yI7SEAiOT019C5KP5lp0Lekj7QXJ+N7Cnm6tvekW02eUaFvSnQJY9N+zNpGhu53syYwy\nAMCpy2W9rkRzBdJdmkbZooKS7FUiEOwDTZO9M3bCUXLd0nMVerMe9XaAha5i6aspCt1WtohPtAXQ\nZkIX9Uo9sTQ6h55DVY9I0mtYU6+JVYdAIDgSpMuyDzQNSJ2E9hbDNF0cw3tjuCeTPuP0GSXaMLoA\n1Z14hhyIhWhZdTU83e3OZyYF9oi6YIs32uIZpzJKcZFs4CEQCIS7AkuGO4kFG9PshUqjYf+2VAvh\nYuxmwL4TRWtypLty9hkluqdxtDkYN5tVz2BqhvzDgSx8nUwO7CAQCNyCrJ7ZB65HIepTJ7T2Vj7b\n+cA7okR3kx5rkF15MFeOO7JFpljlz9H91xEIBEJvwmVlrs/SB/O8tyzRXKmvto9+1j36vhLd5eAc\nHKkx6F4hc6XiEwgEAkELOdyIYAy9WmH5iSEEA7rlzmslfV+J7iJ6p27bob/ryiuN7UmwR1fd2z7R\nnV371U8XuyMKgUAg2BSiQtsHYzFRuDqfsTQ6R2/q0Fadl2HHWh4d7AEACPeXdX6xGTEtUcb7jBJt\ny4bQFyZ21J2dhXaVgwv0SiB6AoFAsBBiiSbYit60ulpDz1Xxzh/s5qI9ZM7DVWzB07onKHe3qdqT\nDnWStmunZ+rVHb5v/9ygbINKo/2QZeEJWpzDqhB3ZEAiEAiOw/6zRcgqctC+2YG5VlDD7c17OmOZ\nrm5sbozrTR3aUuu43bFQTFvkXZ9QohuUbSZ/U7aqkFdah1A/C8z6Oliql/WYAtfFxxaW1+Oj9am2\nlcVabJAlqdcrcCW/2rLXER2aQCA4EA3KNmTcICtkvc2/f86wtwg2h6KoXlOkubRXzGZ0M0l9wp1D\nQ5su2sraZizZcA5l1U1WPtXxKgsNGtcKauwtRpd5+9uT7N83KxuRbaEVnViiCQQC4e6mpVXtgKO2\nPl2Rvzv6s1jIt/haa4fZ3rIvmlPse6M+9AlLtCVU1zXDVy6x+Hq9jYUwXRg9FuGuK/dwpAfpqhi3\n6rp2DrVGw5GEEwgEAsEu/O3LP+0tQrfhyhjuyBy9cBPu0s59oRm6m+V9Q4m2IBe643z//poz8Pe0\nXAG3PcYTSNqbFk3nlxAIBAKB0IHMQu6s3uqqKXo+0WbuaWhug5DfS04FVh3f0Dsaiq6ftrJFhY37\nrvfKexn6hBJNA51O4XhWnkOv+7QGZVuvb9AjLgqWQ/KKQCAQCNZyvbDGYrfB3scypaX3lEZujLPm\nhnu14ap0JyJToLpt/e8TPtGW5II1lmiKoiyvL9yoVyxc0Cd7W6nNK6nH6l2Xe/WdBAKBQHBsPtuS\nbm8R9ODC+G0Waxb0eyktPWnxtkRt7BNKtLEsNEy8tUdjcmkXqt0jhVhAelYlth/JgcYOMmhoGmev\nVfT6ewkEAoFA6Ak4GUzOKneOnsWYYdQaj4M7kDjRADrPhp4KAcMdVbtzekrJrmtqxb9/0YYOGjfE\nv0feQSAQCATCXQkHFA2uWcmN6zP6il5v6IV9Qom+VdeMRqXK7DXWbizkWoXR5WZVI1KuloM28P+x\nV5CK1745cUcGEimDQCAQCIRuwdGDCB0eQ+W7u7pen1Cil25M6/QaR6uQ5gr2n+tToVIbiUnBZc2f\nQCAQCASCSXrdJbMn9SIHUEcoijIrpiXZ0yd8oi3BWp9oi+mFSm/4BqMKNIAWlQZtKrXFz+kJaJro\n8gQCgUAgdJWD54qQwrF9PtYO6z21r4yZaBj3LjC0MpuXwRZaYZ+wRFuCtTq0vRXBrrz+m+RLNpfD\nWog7B4FAIBAIXWfroWy9z1wKdMBlLMklvWsM4xl3AWKJNoL2Ssty1qGqdi8I2yFOI4FAIBAIBM7g\nKhH2+DtsoQkIrDxExlrjpy0s0XeNEm0t9lcFaaN/doXfTuejpc24m4ezmN+9hxtgjxB3BAKBQCA4\nOhoaaGo2HiQhOtijl6UxgLZcFUm7XomK6qaeEsPGzyMh7mxOX1MDf/7zBkqqmjBvyoAOvwn5PChh\n2o/aWjQaGjy+g+3iJBAIBALBzmQV1eKVr44Z/U3q3PPWY1vx/3ZkWHyt1FkIHo9CXWNrD0qkgzUK\nngUeDHeNEm21U7zFB5w4xrHTFTU9Mys0REPTxH+LQCAQCAQb0VMqBhfMXWIh32SwBGuxVhfbcyof\nFTXKbr2zTyrRX2xNR3Or/pKINYVkTUFsP5KDM1fKLL7echl0/raBUtpbau2Ph3Mg6NqxQQQCgUAg\nEAyobWhBm8o2imZX6UnjmFVPNnOx4U+dqXK2OOm4T/pEXyuoQV5pvd53f6QVW/UMaxTpwooGq55t\nD+oaW5GeVdXj77lRUoes4ts9/h4CgUAg9C16Y8ObI/LOqtO4kNPz47c96G704Z40EAb5SDu9pk8q\n0cYot8LJnUvOCKcul+KwzgRA2WL+ZEZTVN1uxrc7L1t0raMdTEMgEAgEx6crQw+frHwSGCxQ3iy1\nqI+M9sEbf4nr9Lq7RolmQq/tOpGHI+eL27/TYG9KAeqaDBzardiF2tOs+/UaruTXsJ9fXml804Et\noTjhKUUgEAiEu4ouWHCMH7pB+O10vk2f19qmsf8BGjCvm9laOkvq1l2jRDOh13adyMMPB7IAACcz\nyvDTkVx8sSVd71qa/Z/9sGddJX0SgUAgEBwBRx6v+ge69dizf/7zhk2f99q/T+gZ9HqHzhUhveK3\noeJk6ZEXDqlEp2ZW4MsfL1h1j7GT9G63h1S5WdWo/wPd9+NLOFK4HAKBQCD0fbqiEDuwDo3ofnaO\n/cwBjJW5m4vI5PWNyjas3X0FDco2AHfU7JuVDcg2sR9LQ9MovdUImqZtvtLukNE5Vlno29tVlK3q\n3otZyBGkzkK2Uhqr1HKZGNV1Lb0sFYFAIBDuFlychLjdYOXY68BatL38ufsHuKG6vgW19S1obrXd\nORFdxtCCbCZb1BoaZ66Wd/h+0X/PdviO8UDYcewGfjtdgFn3R6JNpYGfpwSlt8zvk7O0ZBxSie5p\nko/mIvlortlrXCVC1De19ZgM5TVNOJfZ/fArXaPjgfIO3E8RCAQCwQGYEB+ArOLbSDGiJOlCUZxw\nz+02lJ2U6OcfHghnsQBv/r+Tdnm/LsYsw7bKFUaJPnNFW582tbvy8ixY8rB0VcQh3Tm6irkjqa1V\nWCkAHq7ibkpkmrTrlRZH0yAQCAQCwdERCHgYGGKdi4OtlucDvFxs8hxrMOZm2tOMifWDs5jb9lOR\ngG/5xbTpc0CY/OUZaLrmdEG9R1tw3V2kRFNmK6zF4d/a/6XR+xsa/DwlNn+msRxh0qXvN62fWDep\naZ8le2OPJTKh4C5qSgQCgdAT0MA9g3ytixdtpLsf0M/d6ldH9nPHs5OjrL7PElwlxsdLH3dn+Hg4\n98g7TcG5jZhG5DG00CvM5NGR9Jt44YujRn/TaGjkltxmo7MZIhaaVtYpirJob9xdM/IHK6R6SvTe\nlAIUlNWbucMElNE/e4Xemj2aq1gAkDTYD8EK116RpSvYo5MgYZYIBAKhe9AA+Dxep4dc6C7HG+t5\nH08Ks/rdFACFh+0NVeYQi/j49MWEXn0nT0dB5fqw1T/ADX6eEni6OXXp/szCWizdmGZyP5ehhVoX\nS7PmrlGiwwPc9GYjPx3JxfmsSqufwywdcbzumcRw16tuOhjLs4+HM4J9XU3O5p8c35/TAe6JQksg\nEAj6uDhxewlfl8768M5+F/CtV20kTj0XscqUuL0xVDmJ7hjF5DIxxg3x7/mXWoG5LBg5UIGl80fD\nWWR93bVERzHrG01Z5jt91yjRmw5k4b01p7v9HCZP7bGnwRYbKQyXyZhH6tYVkYCHD+eOwPABPux3\nur9bcyS6rRAJLa+q3e2YxKKOlvjOlheJ3k4gELgI03cxFkguH63NKC2m+lOvdoukrn5k7NoALxeM\njfOz6t0PJwT3+m5FS5Q0Wz5zalIYQnxl7GeuDFusHmLqhy5gbqLFKNjmrmFW5KcmhZp9z12jRGto\n2ubRNHpflez+G+UybSckb98UyVQhHkXpLfMA2qUUxoXEX2fThT0mENZYvi2xRMvMxKF0NRJDmyud\nDYFAIPRVhkZ6ATCtCDIGHP0+vuO1PB6Fx8aYd+nQvctNKoKoEzfGnqAnVk0NH2ntK+4fEdSl+7pM\nD73InM7A/KZ7yUOjgwHcsdwLzPl66HDXKNG2wM9Tore5r7cNshrjG1CtItxfhv+8loRRMQoAwAMj\n++H+EUF4emIEpo0Nw+BwT8SEygFoFe5/TIsFAAQrXPHiozEYPsDH7EEtPbdkaIUSbcE1D47qZ/p+\nCx5gmAciG2wsNIz2wqXlVy5vJCVwG1u5fnHlgChZD1pybdGPOBK6fe09g3zh0u5SYarGMEOul46P\nrNS5Yz9pTv9hlCRdBdZSi7BcZpuIXEx/ysjZlY2QpjCXlI46i/7FYhEfAd5ag5lunnTmo95dOivv\nrlixzNUBfru7j+4GRrlMDAp3+itLj9zr8y326QkRXb6XqehCAQ8uTgIsnT8ablJtI7JHjEq1DbRo\ntYaGxEmI++ID8d7MeEwe1Q9PTYjAyGgFkuL88dqTcZiSEMJez6STooBRAxX4++ODwKMoq9KvuynA\nx8MZr/8lrtvpMEdns/tgX1eEB9w5btVQeWX93i1suHyeNj9stfHzTgfbUYDe2FzKKO961nqD8p6S\nEIynJ3a9bd1NdLZR1544i3tWNplEyPlwWlyit/ZzdObS0ZMTBT05dCZGw6PuuA8KTEwmJsQHAgAC\nvF3wn9fG4l/PjYS/Z8fQdBRFmZy8MVms278yCmNnwxoz7hmb0DkZcQM0haS9TTDvfWyMcZeBRXOG\n414rfZi76yLCjH8ROkeSWxoSrqt0R1k2hbl8YOq3uQ2qtDFfV2Pv6YpwjoSA341Sac9EkYB3J0N1\nKpM53+DxQwPMugx0BVNhWqyBaQxiIR+RQe6ddtqm3mh4G9OpGAv1pptNFIDoYA9MSQi2VGT2Pkvp\nzPBFQT8mKFOOzGDP5BGfR3VqHXYWC9oD/9Odvrcz2PpkpphtuaHTsJPpMDCYqd+uEpFVmz24ZFXv\nSYzFjrfGn7+3sWZe7uPeeSguwzplrAZ11Zpnj70Y3eXlqYPYlT1L6AkdmsvWbbnMCavfm4C1b9+L\nIRFe7PePJobq9fkKD2dMHBaI0TG+ALRKssRJgEBvqdExjEdRkLmIjFp4GSVR11Jp4cr9nWcYKSdr\n3EE0rHFK+yC+CQGEfB7crTyPomN+3PlsaF2lqI59M3N7wiBffPZSAnzlEoToROPycBUjabAfBod7\nYsKwQKtkMypv+3/OYj47uWDHHoM23z/Qcou9Od1mUJhn+zUdhWHus7S/4W7rMoO3u+XhTphdul1R\nPnT9rxjFSndyYi6PZz8QBScbW6BsokRba8w26oMGjBsSAOBOvg6P8sa8h6JxX7ulYNRAhe5D7vxJ\nURDweYgL94I1WDO4GMoql4nBoyisfftedkBxFgvw6vTBetIxdzFlrbW4G3Y6+s9mYrVo6O5bkWiD\nf3XfwUzIbDXI8nkUa40ytEayS10UBRcnAZ65Pwr3xQfoXeMk4lslC/NMc9YarizX25ruFJmkh624\n1liYdK81VVaG5Wvs8eYOx5g4PBAhvtwNn2kKU5NEsZCPsXGWWxKZPsQwihJwZ4JmqBSbsyr7yiWI\nbe9rdXOdKRdj79GlO25cllqzA7ylHaJpBPlI8cQ4rU9zsMIVH88fhacnRrCGCl3jmDkfYGacMvZ7\nZ+4cxuo40wbC/GRdigDCPqd9IGbGzwBvF6OTLQ1NW61HmJu0G2t7eiHvdH+gAW93Z3zywmjc164s\nuzgJsOLlRPz1oWi89mQcnhgbhlmTBwCwrP92N1Of/m/2cMx9MFr7ahOngD87OQoPjAzq9D2A6X1P\nzuI7Y5deuVOUXv6Y3OxoAGeUaI1Gg8WLF+Opp57C7NmzUVhYaPJakYDfodOKDOo4Q3libBhbsMaW\nxg0xzHQmE43dS9PGrSxuUhFrjbVUyTBW+WJCPOBpYLGxxelG1j7DVEUaHO6JB0f1Yy3KAgEPYwb7\nYfKofvjXvJF44ZGBGN+ueDGvdHESdFBUu4uxvDM88WrmpEi89FgMBHye3iE5hosLzPcaDX3HL6oT\n4zBFaf8TCnjwdnfqlsXV2GqHgM/TWji6mV+6+eTiJICGptkJAuOHGOYvg0jAwzMTI/CX8f0RG+6J\nUD8Znn5gAB5KCEZCjC/enDEEL0+NxahoBdsBMWlm/jU6MOtMTADzg3NvLSUbYqiMGBuMmGsMy9lT\n5gQ+z/gSsrOJ0FlSZ6G2TehYgxhfT8bqy9RJ3Tyx5WTDGusuc61u9BpDhc6wzzPe35g++ODRxFAs\nnjsCzz8c3eF3ph9m8pjLbjJMeVEUhREDfEz6lBq2A8a/l6ZpUNBf2WP6TGvcBkZG+yAx1hdjBvvh\n3qEBiAh0A59HQSzkw8NVDF+5do9PqJ9M7z5mLNStHsFWTm4sqVnmrpmSEILVb47DwjnDwOfxQFEU\n3KRizL4/EpNH3VnJZOoDo6AZU2512w+jPOsqUJboB7oCe8ic8P9eH8vWd7lMbNav2fD5jEGM3z4Z\ncBYL8OaMIR3aNk3fmQh4uIo7ddWYNi6sQx8kdRbg5amDEBvmidhwT/Pp0323zt+hfjJ88bd7sHT+\naL1rnMUC3DtMX6k1dyicYXcz/d5wNg/9vVzg7qotQyZ/ujrquUqEeOfpobhnkG+H3wR8Hvr5uEIm\nEer51jO5xuoH7cJKOhnTObPGeujQIbS1tWHbtm24ePEiPv30U3z77bdGr1VraPD5PDw+JhQ7T+RB\nwOfh4XuCcSpDjDNXy9nrHr4nBLcbWzE0wgs8HoW06+bjQv/f7GG4kF2FrX9kA9Au+WcW1uLhhGC2\nEehVgvYPg8LkuHyjGoB2c4RazWS+EICyK9mBAG8pnhzfHx+tT4VELEBTi4otVJ6OZdxarL3PnK/S\nk+P7g6a1PtZx7Y1TwOchkBkwjFmhDCqopZhasnNxFoLPoxCkkGJMrB9GDPABTWt32io8JCivaUI/\nnaUo7WtNaNHtaOg7nZ6p/GIGNxcnIdDchveeHYG2ljaIRXy8t/o0XJwEaGxWQSYRoq6pDUIBD20q\nDVwlQjZKjMxFhLrGVkidhWhQ3okcw7zRzUUMkaANza1qOIsFaFCqMDBEjhSdOm4KAZ+CSt1Rdk+Z\nEygKcJeKoZBLcD6rEiOjFYjr78kOpLqDEFNOfB4P8x8ZqPcswyJhrM00Td9Jf3saDd3L6B447pYZ\ngHTz0hTe7k7gURQqapXwcBWjuq6FTbe7VITahlbIXZ1QVt3E3hMV5A5vd2ecyCiFp5sTGpsbAGgV\noTefGoK6xlZs2JfZQY6/PjgAn24+zz4nwMsFZdVNcJOK0NqmRmOzCj4ezpCIBbhvWCBcnIS4VlCD\nXSfy4O/lgtJbTfBwdYJQwMftxhb4e0oQ6i/D/rNF7DPFQj5a2tQd0unl5oRbdc0m52BCAQ8qtf59\nhs9i6ieNdv9/DQ1e+8ghEvLRqrqzvGXYTjU0DZ5B58HUS6ZtMPz7tSS2DDxc9VcbfdqX87ceykZ4\ngBuyimrhKhGi5bYaMhcRNBoaDco2doWQkdmwbTHt0BSG1+viKdPmJYNMIoSGBhqb71zPtO8O9Z2m\nIRbx0dKqn9fR/TzYMWvauDDcut2MoxdKQEPbD4gEPKhUGu3zDCb0hrLqPp/JW5oGwv3dEO6v9W99\nPAn47XQ+BHweJgwLRHl1Exb99yziI73w/qx48HkUmlpUWLPrCoorG0FR2gndkudHobCiHks3pnVI\nqym83Jy6HRHLmIvE+Hh9F4IHRwcjqp8HPGVOuJhbhTD/OxMCxkVv8qhglFU3orxaCWexABdyqiAU\n8KBsP4ODUU4NJxMMbi4i3G5sZS3gAh4FoYCHxxK1OshzD0VD4iTE2WsVALRKte4BH1PHhWP9r1fZ\nz4yOYBgBYuWCRPAoCv/63zkUlNfD3VUMsYjPrqa+PHUQWlUarNl9xaicQgFfT2H3cBXj3WfiIZc5\nYZiOz7kpGKOQMTo78ISZEIwbEoA/L9xE6S1t3zky2ofNF6buMuMDIyMznjL5Ybj/KyLQHeU1SkjE\nApOuL7rPHTVQAZmLqIPr2MThgRC2G/wSY32xetedfOTzKFCUtt5GBrkjPlKbX0mD/RHHhKlYAAAg\nAElEQVQXpYApOKNEnz9/HklJSQCAuLg4XL5s+hjuhBgFWlUatrBffXIwYkLkiAmRY8LwQCzdmIZA\nb60i5+YiwoJpg7HnVL5ZJXrUQAU83ZwwaUQQ3KQieLk5I6uoFqXVTUiK8+9g9eDzKFYXE/J5+Mf0\nwTiZUYonxoaxhTx9XBhSrpXj2MVSq/ODR1HsbGxIhBdcJUI0KlU4kVEKd1cR20A9ZU54PCkU//3t\nmkXP7ar1xtT8l6IoNiSOIYbjtkDAYwdJSzcb+Xu5oKSqEQoPZzQo2/DXhwbASSSAj7szymuaEOon\nA59HsaH7tDKBVZz7GTlZ0ZTy5yzWNsAwPxkam9ug8JDA3VWEP9JuYlCoJy7lVuHBUf1wo6QODyUE\no6JGCT9PCRqUbYjt74XKynpU1WonTeykq/0drhIhquta4CTiQ6XWgILWVaKhqQ3BCikyC2tx39AA\nFFU2YHC4Jy5kV+H5hwdCraGRWVADl3arpZebMxQezth9Mp+V300qAo+iUNfYCj6fQmubBtHBcmQW\n1mDyyH6swnEhpwqvPBELikK7LyFQVt0ELzetgmYMcy4qTBqpO5qCNs99XUFraFzJr4GwvWP1k0vQ\n1FyHUD8ZLudVw1ks0FOgAG3n1ahsw6AwT5y6XGbyvYbKTJi/DMUVDVqrXvsEaEA/d9TUtyA+0htn\nrpRjbJwfLubegre7My5kV+GNvwwBKCC76DZ8PSUorGpEsLcLLubcwtg4P1TXteDohZsoq27ClIRg\njB6oQEB7n5IY64sAbyluVjYgPMCNrdO+cglcnYXgURTemDEE3+7IQG5JHcL8Zfjm1ST84+vjAIC3\nnx6KyttKuElEaFNrsDelECG+rqwrFJNGitJOBmkaqGloQVubGrkldfB2d0Z0sAfSrlei6rY2H8RC\nnp7iywzi8x8ZCH9fNyxYfsRoXk4bF469Zwpwq64FIgEPrSoNHhgZhN0n8xHs64qCsno8khiC+qZW\nXL5RjYamNowcqICTkI9DacUQC3loUAKeMjFu1bXofHZCY3MbeBTFKh6MMUDWrpB4uDqhrqkN7lIR\nGpRtepM3Qwv2X8b3R3ykNxJj/UDTNG6U1uHEpVLUN7VhULgn2lrVyLl5GzEhcpTXNGHEAB+czaxA\nmJ8Mf6QV46kJEahtaEFqZgXaVBrU1rdAKOShtU1/sB43xB+/nS4wmlfzHxmIQ2nFoACcz6qEzEWE\nVpUGDco2tu+QOGkVS9aq1f4vj0fBSchHa5uandAo5BL85b7+8POUYMfxPIT4ydA/wI1V8rNv3gZo\n7f6DsuomSJwEuN3YCmeRAPXtE3PgzqRXu3eHRmubxqRrGAC9jeP+Xi54b2Y8ghWu7HNcnIQI8pHi\nVl0zHhsTCj6PB6GAB39PFwR4u+BmZSMAoJ+PFFfya6CQS1DePtn0cnNi6+SYwf4YGwds2HfdaH6a\nFNBKQv1krPKr61cNAINC5Xj3maF67bSkqhED+rmDx6Ow5VC7waw9IoWzWID3Z8Vj5/E8SJwEuJCt\n7TNpAP/5OQPe7s54PCkMUe1WZ4VcAqGAB7mbExQeEkQGuuFWXTOWPD8Kf//yGABgbJw/Jozoh2Pn\niyGXOSE1swJebk5Qtqg67KFgdIcP/zoCao2G/TxhWCAoUBga6Q0NTaO5VYXtR3KgbFEj0FuKIB8p\nGpRtGBjigVMZpax+4OYi0hsbDQnzl6FNpcGtumY0t6oxfmgAOzZbuuLBtO+BwR4I8nHFqIEKeLk5\nYc/JfFTXN+OBkf1YJfrOe91AUUBMiByThgeybqaGdZr5d9KIIExq1zPuHeKP388UsAqzXCbG0xMi\ncSm3CiG+rriUewtD+2vrgZ/cBU4i7QpXUUUDnp4QwY5XjF89ADyaGIL4KG/sOZUPLzdn/O3xQays\nQgEPA/zubLI0hKI5sltj4cKFuP/++zF27FgAwPjx4/HHH3+AZ63HP4FAIBAIBAKB0MNwRkOVSqVo\nbGxkP2s0GqJAEwgEAoFAIBA4CWe01Pj4eBw7pl3+uHDhAqKiouwsEYFAIBAIBAKBYBzOuHPQNI2P\nPvoI169r/aeWLVuG0NBQO0tFIBAIBAKBQCB0hDNKNIFAIBAIBAKB4Chwxp2DQCAQCAQCgUBwFIgS\nTSAQCAQCgUAgWAlRogkEAoFAIBC6iVqthlrd8dAjQt+FKNF2ZP/+/UhLS+v8Qgfgp59+ws6dO+0t\nRo/S1NSE3bt321uMHiMvLw9KZddO2HQUqqur7S1Cj1BcXIz8/Hx7i9GjZGVlYdOmTaiqqrK3KD3G\n9evXceDAAXuLYXNOnjyJ//u//0Nzc3PnFzsomzdvxrJly/ps/fzhhx9MniJ9N0OUaDtw5MgR/P3v\nf0dqaiqCg4PtLU63SElJwd/+9jdkZWVhxIgR9hanx9i6dSteeuklFBQUQKMxfWywI3L9+nW88cYb\n2LZtW59Vok+fPo0FCxbg9OnTVh85z2VUKhW++uorvP766ygpKbG3OD1Ca2srPvroI3z22WdQKBTw\n8vLq/CYHo6WlBZ988gmWLl0KlUplb3FsRk1NDd5++21s374djz32GJyczB8d7YgUFhbiiSeeQGFh\nIV588UUoFKaPiHZErl69itmzZ6OoqAiPPvqovcXpMY4dO4a3334bx44dQ2trq8X3cebY77sFmqbx\n5ZdfYt68eZg6dSpSU1NBURQ8PT3tLVqX+Pbbb3Hvvffir3/9K37//XdUVVUhLi7O3mLZlG3btmHv\n3r3YuHEjSkpKUFVVBR8fH3uLZRPOnTuHl19+GStWrMCYMWPsLY7N0Wg0ePPNN1FdXY2PPvqoT4XN\nbGhowMqVK6FWq7F161Y0NDSgpaUFYrG485sdiLS0NFRXV+Pzzz/HzZs38eeffyI2NhZyudzeotkE\njUaDtWvXQqPRYOPGjcjJyUFubi7Cw8PtLVq3SU1NhUqlwtdff42dO3ciOTkZo0ePRmBgYOc3Owg3\nb97EqFGjMH36dCQnJ4Omadxzzz0YMmSIvUWzCfv370dSUhKee+45bNmyBe7u7pgwYQIkEom9RbMZ\nGzduxJkzZzBr1iw0NjZa5ZLD/+ijjz7qOdEIgNZPqqioCO7u7lCpVKAoCmfOnMGmTZtQXl6OPXv2\ngMfjISIiwt6imoWmadA0jcuXL8PLyws8Hg9ubm5Yt24dDh8+DCcnJ3z//fdQq9UYPHiwvcXtFrdv\n34ZSqYSzszOcnZ2xfft2VFVVYfPmzTh27BiuXr2KuLg4h1dY6urqIJFI0NbWhq+//hppaWnIzc1F\nfHy8vUWzCRRF4caNG4iMjERtbS3WrFmDsrIyuLm5wcPDw97idYny8nJIpVKIRCKkpKQgICAAP//8\nM3bt2oUTJ05ALBYjJCTE3mJ2i6ysLNTU1EAul6OmpgZZWVk4cuQILl68iLy8PJw7dw5ubm7w8/Oz\nt6hdpri4GCqVChKJBKWlpThx4gQuXbqEo0eP4tdff0VLSwv8/Pzg4uJib1EtgqZpUBSFS5cuoaio\nCP7+/vDz88O3336Lo0ePQigUoqKiAocPH4aHhwcCAgLsLbLVMGnct28fCgsLERoaitbWVuzduxcn\nT55EVFQUVCoVTp06hdbWVs6P6YYw6Ttx4gTa2trYierXX3+N9PR0+Pr64siRI8jPz4dCoXDYPtSQ\ns2fPYsyYMSgvL8fhw4fZdunm5tbpvcSdoxfYs2cPFixYAAAQCoWQSqUQi8VYsmQJlixZgqeffhrr\n1q2zs5SdQ1EUUlNT8e6776K8vBwAEBMTg/j4eDz//PN45ZVX8NFHH+HHH3+0ajmEi7z77rtITU1F\na2srwsPDMXr0aJSUlGDDhg34+OOPUVJSwh4M5GgsXboUP//8MwDAxcUFxcXFSE9Px+LFizFt2jRc\nv34dW7ZssbOUXSc7OxuMbUCj0SAkJARHjhzBlStXMH/+fNTW1sJRbQfXrl3Dl19+icuXLwMARo8e\njU2bNmH8+PFYu3YtRo4ciZSUFNy4ccPOknaPTZs2Ydu2bQCAwYMHQyAQICIiAitWrMB7772H8PBw\nnDt3zs5Sdp2ysjJ8/vnnSE1NBQA8/vjjUKvVCAwMxDfffIO3334bOTk5DuVfS1EUAO3q5PHjx1FZ\nWQmJRII5c+YgJCQEr7/+Ot5//30oFAoUFBTYWdquQVEU2tra8Ntvv+HgwYPs+BATE4P77rsPzzzz\nDJ599lkMGjQIpaWlDuf6R1EUiouL8e233+LSpUtQqVRISEhAYmIiJkyYgLlz52LhwoUoKSlxaP92\n3TGitbUVubm5yMzMRE1NDebPn48bN25gyZIlFj2LKNE9THV1NY4cOYKbN29i/fr1AICRI0di5syZ\n6NevHwBg2LBhiI+PR0NDgz1FNQtN01Aqldi1axeqq6uxZ88eAICHhwfmz5/PWi6HDBmC0NBQ3Lx5\n057idovz58/j3LlzOHPmDJuOuXPn4rnnnoNGo4GPjw/8/f1x4cIFO0tqPWVlZUhLS8Nvv/0GpVKJ\noKAgJCYm4sknn0RwcDDi4uKQmJgIpVLpsL7DOTk52L59O86cOQMej4eQkBCMHz8eL730EmJiYvDa\na6+Bz+c71CSIGYz37t2Lq1ev4uTJk9BoNBg7dizmzZvHtr8JEyagqKjIYayXxjh06BDS09NRWlqK\n/fv3AwCee+45TJ06FQDg5uaGlpYWh/SNZsrxjz/+wMWLF3H16lVkZWUBAN5//31MmTIFABAfH4+K\nigqH2wj7xx9/ICcnB9XV1eym+WnTpuHll19mlS4/Pz/U1NTYU0yr0VWGd+3ahbq6OgiFQmzduhUA\nMGfOHDz22GMAACcnJ1RUVMDDwwM8nmOpWBqNBj/99BPq6uqQm5uLixcvAgBef/11TJ48GQBYV5y6\nujq7ydldmDHi9OnTEIlEGDZsGJKTk9G/f38MHDgQb7zxBtRqNTIzMzt9FnHnsDGVlZX4888/4ezs\nDJlMhqqqKojFYrz66qtYvHgxZsyYAblcDoqicODAATQ2NmLDhg3QaDS4//777S2+HpWVldiwYQNE\nIhGcnZ0hlUpB0zTmzZuHLVu2ICIiAn5+fhCLxdixYwdSUlKwd+9eNDY2Ytq0aeDz+fZOgkVcunQJ\n5eXlkMlkEAqFuH79OkaOHInS0lJQFIXg4GB4e3ujrq4Ov/32G6RSKX777Tc8+uij8PX1tbf4ZtFo\nNKisrGSVqv3790OhUMDZ2Rnnz5/HPffcg7CwMMhkMtZ9ZePGjYiJiUFkZKSdpbcMpVIJgUAAiqJQ\nVlaGX3/9FYMGDcLmzZsxc+ZMeHt7IzIyEnw+HyKRCPn5+cjJycG0adNY6xlXuXLlCiQSCcRiMVpb\nW3Hy5EmMGTMGNTU1aG5uRmhoKAYOHIjjx48jMDAQly9fxrVr1zBu3DiHUaR3796N4uJiODk5wdXV\nFeXl5YiMjMSIESOwb98+jBs3Dp6enjh16hR2796N27dvY//+/RgxYgTCwsLsLb5FMJMBoVAIsViM\nvLw8jB49Go2NjVAqlYiMjISvry9SUlKQmpqKmpoaXLx4EQ888ACnfb+//fZbXL58GSqVCgEBAVCr\n1ZgwYQJ4PB6Kiorg4+MDT09PXLlyBe+//z5u3bqFvXv3YsaMGQ7hilNRUYGPP/4YWVlZUCqVCAkJ\ngZOTE6KiohAbG4v9+/cjNjYWXl5e+PHHH7Fy5UqkpqYiPz8fDz30EOf3zlRUVGDFihWsH7C3tzd4\nPB4efPBBlJaWoq6uDuHh4XB3d8emTZvwww8/4OzZs6iqqsLUqVMhlUrtnQSLMDdGzJo1CzExMTh6\n9Cjc3d0RFRWFsrIyXLp0CdOnT+9UjyFKtA05dOgQ3nnnHQgEAuzbtw8ymQyxsbGQSqXo168frl+/\njpMnT2LChAloaGhAWloafv/9d0RHR+ONN96wt/h6pKSk4L333oOfnx9ycnJw+vRpjBkzBm5ubggM\nDERxcTHOnTuHMWPGQKPRoKmpCRcuXEBwcDDee+89zivQNE2jtbUVK1aswM6dO1FdXY2DBw9i2LBh\n8PHxQXx8PNra2nD69Gn069cP3t7euHHjBv744w8cPXoUDz74IO699157J8MsO3fuxKJFi5CRkYFb\nt24hNjYWnp6e6N+/P6Kjo/HDDz9g+PDh8PLywoYNG7Bt2zb897//RWRkJKZPnw6RSGTvJHTKN998\ng59++gm5ubmIiIhgFY45c+Zg7969qKmpQXx8PEpLS7FkyRL88ccf2LNnD0aMGMHpjT/l5eV45513\ncOzYMZw4cQKtra2IiYlBVFQUIiIicPPmTWRnZ2PQoEFwdnbG+vXr8euvv+L48eNYsGCBQ2ygbG5u\nxrJly3Du3DkIBAJ89913SEpKwoABAxAWFgahUIirV6+ivLwcsbGxEAgEKCwsxIULF/C3v/0No0aN\nsncSOqWiogKLFy9Geno6ampqsH37dkyZMgVeXl6Ij49HSUkJcnNz4ebmBoVCgbKyMhw/fhxXrlzB\niy++iAEDBtg7CR2gaRqNjY1YvHgxmpubERsbi5UrVyI8PByxsbFQKBRwcXHBhQsXoFKpWGOLUChE\nS0sLXn31VYfwFb59+zY+//xzDBgwADExMVi5ciWioqIwYMAA9OvXD2KxGEVFRbh27RpGjRqF6Oho\nhIWFwdnZGe+88w7nFeicnBwsXrwYAwYMgEgkwvLly/Hkk09CoVDA398fTU1NuHbtGpydnREUFASF\nQgGVSgU3Nzd88MEHDqNAmxsj9u3bh6qqKgwbNgxBQUE4c+YMdu3ahV27dmH48OEYOXJk5y+gCTbj\nm2++oc+fP0/TNE3v2rWL/uyzz+jjx4+zv9fX19Pjxo2jL168yH7X0tLS63KaQ6lU0jRN0wcPHqTX\nr19P0zRNV1ZW0h988AG9du1a9rrGxkZ63rx59L59+9jvVCpVr8raXerr6+l//OMfdG1tLU3TNP3p\np5/Sb7zxht41y5Yto9evX09XV1fTNN2xvDQaTe8IayU1NTX0W2+9RZeWltL5+fn0W2+9Rf/8889s\n+dI0Ta9atYp+5513aJrWpkOpVNIFBQXs71xNG8PBgwfpN954gy4rK6P/+c9/0itXrqSzs7PZ369c\nuULfe++9dH19PU3T2np87NgxuqKiwl4iW8yOHTvof/7znzRN0/Tp06fpGTNm0MXFxezvly5doles\nWEFv376dpmltWdXV1dlFVmtpbm6maZqmKyoq6GeffZb9/pNPPqFXrVrFlk9LSwt97Ngx+pVXXqHz\n8/M7PEej0XC2jra1tdE0TdPXrl2jX3nlFfb7J598kt68eTP7+datW/TXX39Nr1+/nu2HmPyhae6l\nsbKykqZpmm5tbaXfeusturCwkKZpmt6+fTs9ffp0vWt37txJL126lE5NTe11ObtDTk4OTdM0XVtb\nS0+dOpXt89evX09/+umnbJrVajV98eJF+oUXXqDPnj1rN3mtpaysjKZpms7KytIb715//XX6448/\nZj+3tLTQa9asoVeuXKnX9zgS1o4Rzc3N9Llz5+iqqiqL30Es0d3g6tWr+Oyzz1BTU4OgoCAcPnwY\nJSUluOeee+Dt7Y3y8nLk5+dj0KBBEAgEEIvFqK2tRVpaGsaPHw8AnLHYXr58GR9//DEuX74MHx8f\n5OTkoLi4GElJSXB2doZCocD27duRmJgIFxcXCIVCKJVKZGdnY9SoUeDxeA7h/7V37178/vvvEAqF\naGpqQl5eHmJiYiCTyXDPPfdg5cqViI6Ohr+/PwBAIpFg7969iIuLY91wKIqCWq0Gj8fjlDtARUUF\njh49Ck9PT4jFYqxYsQKzZ8+GQqGARqNBZmYmpFIpm7aQkBCsW7cOYWFhCAoKgkAggJubGzQaDWia\n5mR55ubmQq1Ww8XFBcnJyYiKikJCQgL69euH4uJi3LhxA8OGDQNFUfD29kZGRgYOHDiAhx56CBKJ\nBMHBwZx1c/jpp59w7do1+Pr6oqmpCVevXkVSUhJCQkKQmZmJ7OxsJCQkAADkcjlKSkqQlZWFQYMG\nsS4fXGf9+vVYt24dVCoVAgMDcfXqVTaKQUBAAA4cOIDQ0FD4+vqCz+dDIpGgpKSEXQFj0Gg0nGt/\nDP/73//w+++/w9PTE/X19aiuroafnx/kcjn69++Pzz//HM888wx4PB6cnZ1RV1eHnJwcREREwM3N\nDQKBNvIsl/qY+vp6fP7550hOTkZ1dTVUKhVqamrg6uqKwMBADBo0CL/88gtUKhUGDRoEAPDy8sKN\nGzcQExPDaZcUhmvXruHTTz/F77//jry8PHh4eIDP56OoqAgxMTEICwvDvn374Ofnh379+oGiKEgk\nEjg7OyM8PNyiSA72JCMjA59++ikOHz4MAGhsbERjYyPkcjm8vLwwfPhwfPLJJ5g4cSLc3NxY3aSu\nrg6xsbFwdna2p/gW05Ux4uDBg3jwwQchEAjg7+9vVfg+okR3kZ07d2L16tV46KGHUFpaiq1bt+LN\nN9/E2rVrMX78eHh5eaG2thZXr17F6NGjIRQKQVEURo8ezSrQXCEtLQ0rV67EM888A4qisHbtWrz6\n6qtYsWIFxo0bB3d3d0gkEuTm5rKuKQAwaNAgJCYmclLZMoRx3Th9+jQiIyPxww8/4L777sOff/4J\nuVyO4OBg8Pl8UBSFs2fPYty4cQC0m2CGDh3KppkZ0LiW5v/9739YvXo1lEol9uzZA19fX/j4+ODC\nhQsYMWIEfH19cfbsWbi5uSE8PBw0TcPFxQXx8fEd3BqYiQKXaGpqwldffYXvv/8e2dnZyMzMxIMP\nPoj//Oc/mDFjBjw8PNDY2Ij8/HwEBwdDJpMBABITEyESiTi9fFxWVob58+dDqVSioaEBGRkZEAqF\noGkaIpEIAQEBiIyMxPLlyzFp0iRIpVLw+Xx4e3sjMTER7u7u9k6CRbz77rtoamrC1KlTcenSJdy4\ncQP9+/dHdnY2YmJi4Ofnh/T0dFy7dg1jx44FALaOGh5KxbX6CWjjdr/++uugaRq+vr44deoU6w7n\n4+MDhUKBoKAgpKen4+bNmxg2bBgA7WR22LBhHTZKcqWPYeI8e3t7Y/78+dizZw9CQkJQXV2Nqqoq\nBAQEwNXVFf7+/ti1axe7OdLFxQUjRoxwCAUaAJYvX47ExES8+OKLyMvLQ1lZGfz8/HD9+nXWnaGk\npATHjh1j9y+JxWJ28sNlqqur8dlnn2H69OkYOnQo9u/fjyFDhuDSpUuQSCTw8fGBXC5HdXU1cnJy\nWDcGf39/DBkyxCEU6O6MEUKhsMtjBDdaqQPB7NKtqqrCE088gccee4zdLOjt7Y1Ro0bhyy+/BKCN\nulFaWgrgTodIcyjiASNLZWUlFAoF7r33XsyaNQsikQguLi545JFH8M0330CpVEIqlaK8vJxVJh2N\n+vp6nD9/HqtXr8azzz4LPz8/FBcXY8aMGfj111/ZkEtyuZzdUMeUta+vL6fKzRiZmZlYuHAhPvro\nI4wdOxY3btxAfHw8srOzcfXqVUilUgQEBLA75hklhPG55Hr6Tpw4gdLSUvzyyy9YtGgR/vzzT3h7\ne6N///747rvvAGgjw2RmZupZ8qRSKR566CF7it4p6enpGDVqFJYtW4YZM2agoaEBCQkJ4PF4uHLl\nCqqrq+Hr64tRo0ahuLiYvc/Hx4cdCLhOaWkp6uvr8eGHHyIxMRECgQBhYWHsBC45ORmAts90d3fX\ni4bATCi4Xkdv3LiBmpoaLFy4EM8//zwqKioQGhqKuLg4pKamsjv9hw4dqneQCmNx52o4tNbWVhw5\ncgRTp05FUFAQ/Pz8kJeXh6eeegqlpaU4cuQIAG0ZMxY+Lk5yzFFQUIDS0lI8+uijkMvlKCgogFwu\nx+jRo+Hu7o41a9YA0ObFkCFDOF8XDSksLERxcTHGjRuHhIQE3Lp1Cy4uLpg0aRIuXbqEU6dOAdDu\nU2Amd46GvcYIokRbCaMM+/j4sEurKSkpaGtrg0AgwIIFC3D58mV89dVXmDt3LqKiovSWWbnQuTAd\ngK4i9dJLLwHQuqi4ublBLBbjlVdegYuLC7744gs888wzcHV1hbu7u8N1IADg7u6Oxx9/HLW1tQC0\nYYh4PB4SExMRGhqKrVu3YtmyZVi3bh2rmOhagrhQbqZgVgiY5e4TJ05ALpcjLi4OgwcPxpIlS5CR\nkYETJ04gOjraaPlxOX0AUFRUhAkTJgDQDgienp7w9PTEc889h61btyIrKwuZmZng8/loaWkBwB1X\nKVMwxzvz+Xz20AKpVIpLly7B3d0dY8aMQUVFBT7//HOsXLkSWVlZDhONwhA/Pz9MmjSJTXN1dTUE\nAgFCQ0MxZcoU7Nu3D++99x6++OILdgKhiyMoZoMHD8YjjzwClUqFlpYWiEQiUBSFSZMmQS6XY8OG\nDVi0aBF++ukn1qVKF65Ynpubm9k+gjl0YuXKlfD29gagVSTDwsLg5eWFhx9+GCUlJXjuueewc+dO\nDB8+3J6iW4zhpCw4OBiLFy9my6CtrQ0DBgyAj48PZs+eDQD4+9//jrS0NDzwwAOcr4uGffyQIUOw\nfPlyAFqDkkQiQVBQEMaOHYuRI0fi+PHjmDt3LsrLyxEVFWUPkbuN3caIbvpt93k0Go3ehjm1Wt3h\n9wULFtCHDx9mv6uvr6dPnDhBnzx5stfktBTdtBjbCPjZZ5/Rq1atomlam46GhgY6JyeHTktL6zUZ\nu4tare5QTroUFhbSc+bMYTdiVVZW0rm5ufSqVavooqKi3hKzyzAbjXQ3HDGbX1paWuh58+bpbTLb\ntm0bvWjRInrTpk29K6gNYNJYXl7Olunx48fppUuXstds376dXrp0KT1jxgz69OnTdpHTUtLT09nN\nnMbqaHJyMv3WW2+xn2/fvk3/+OOP9HfffUc3NDT0mpzdobMNxoWFhfTDDz/Mfq6traVra2vpM2fO\n0K2trT0tnk0wTKNhWZ44cYKeM2cO+/nWrVv0tWvX6OTkZE6nsaWlhT569Kje5rM4TboAABqySURB\nVHddcnNz6blz59JKpZJWKpXsJq1Lly71ppg2o7GxkaZp/b40JyeHLbucnBw2LxxhQ7KhvkLTHevq\nr7/+ym4oLCkpocvKyuj6+nr6+vXrvSanLbH3GEF8ok3Q2tqK/Px8yOVy8Hg8tLW1sT6zurS0tCAl\nJQXTp0/HmjVrsHnzZjz44IMIDQ1FUFCQnaQ3DY/HQ3NzM77//nsIhUI2zrFKpQKPx8ORI0cwYcIE\n7Ny5E2vWrMG4cePYJTxHgbFa5efnIy0tDYGBgXozzvT0dNY3ePHixZBIJBg+fDiGDx8OmUzGLqty\n1drAyJWTkwNPT0+o1WoIhUIA2pOYSkpKMGnSJPzwww8oKirCE088gfHjx7NHsWs0Gs6mjdlMxUC3\nH0Pr4uLCyrxq1So8/PDD8PDwwM8//4wZM2YgKSkJ06dP19t8xiWYdHh7e+OTTz7BgAEDEBQU1CG9\nBw8exGOPPYbKykqsXbsWERERSExMRHx8POdDDtLt1j2mrWVlZaGxsbGDv2hGRgYEAgHkcjkWLlwI\njUaDYcOGse2U6Yu4iGEaW1pa2PizzO/MscmxsbFQq9VYsmQJgoKCEBcXh4EDB4LP53cod3vDyKNW\nq5Geno6NGzdCpVIhMjKSTRtFUcjIyIBSqURbWxs+/PBD1l9foVDYOQWdw6SRKaOLFy9i69at7MoH\n831KSgrKyspQVlaG//3vf4iOjkZISAhnNyTrQlEUeDwelEolDh8+jNDQULauMun/888/ERAQgPT0\ndKxbtw5Dhw5FYGAgPD097Sy9ZXBtjBDY9Gl9iOPHj2Pjxo3YsGEDduzYgd27d2PSpEkYNGgQBg8e\nDLVaDT6fj5KSEiQnJyMnJwcJCQn47LPPOLVL3nCHd15eHlasWAGxWIwXXniBvU4gEKC5uRmbNm1C\namoqJk2ahFWrVlm1S9WeMOUBaBvVjh07sGbNGixZsoRVMBl++eUXZGZmIiUlBUlJSXqH3DC7/rkG\n01EwnD17Flu3bsXy5cv1JginTp1CWloaFixYAHd3d7zyyivsb4zyzNX0AXeW1w4cOICYmBgEBASw\nv1MUhbq6Oly/fh0ZGRlYvXo1oqKioFKpjE5wuQQjG5/Px8KFC7F8+XIkJyfrlV1FRQVOnTqFjIwM\naDQa9rhkR4GZvObm5mLjxo04deoUHn/8cTz//PMQi8VsGZ48eRI///wzCgsLMWfOHNYtjoHxV+Qi\nTBrz8vKwcuVKeHh4YPLkyWwamGOhd+/ejaamJoSEhOCpp57Sizerq4RzAd2+UyQSobq6GllZWRg3\nblyHsti/fz927NgBjUaDf/3rXw5xIBPTpzNpbGtrYw9dcnFxYScPzO8HDx7E6dOn0b9/f4cYAw3H\nrJ07d2Lz5s1sXOfx48dDIpGAz+eDpmls27YNfD4fTzzxhEOkj4GrYwR3eys7wIT24vP5mDBhAg4d\nOoRXXnkFCoUCL774IrKzs7FmzRqsXLmStQplZWVhypQpWLBgAecGPN2O4cKFC5BIJJBKpVAoFEYD\npZeUlGDevHmYNm2a3sYXLmPYQRYUFCAgIAANDQ1wcXFhBy+apqHRaMDn8+Hv7w8vLy+8/fbb7K5j\npgFyScHUlZmiKJSUlLAnSGk0GkRFRbFWLaaDZCJwzJkzh/VP5GLadNEdBDIzM7Ft2zZcvnwZ/fr1\nw9SpU5GUlASKokDTNMrKytiDRj744AOHqacAkJ+fj4ULF2L9+vXYtm0bNm3ahFmzZkGlUkEgEICm\nady4cQNvvfUWZsyYYW9xu0RBQQE+/PBDzJs3D6NHj8aOHTtw/fp1DB48mB3ARCIR/v73v2Pu3Lns\nfVydvAIdJ+j79u3Dtm3bMHPmTDQ3N2PVqlWQy+WIioqCRqOBUChkoxo8++yz7HOYdsi1yR6fz0dx\ncTG++eYbSKVSTJo0CYsXL8bly5dRXFyMwMBANg/uu+8+JCUlsUdAcxnd/pNh3bp1yM7OxrPPPovR\no0djwYIFeOGFFyAUCtk0TpkyBS+88AInD7rRxVj6aJpGeno6lixZggEDBkCtVuP27dvg8/mscW/O\nnDkYOXIk59PHYNhuuDZGEHcOHRhF49atW5BIJIiKisLOnTvx/PPPY/jw4QgKCsLFixfh4eHBbgwJ\nDw/HAw88wJkwUxUVFdiyZQsCAwPh6uqKiooKfPjhh9i7dy/OnDmDiIgIKBQKFBcXQyqVwtfXl7VW\ne3h4IDEx0SFCEhkuo2ZnZ+Pdd9/FwYMHcfPmTURHR0Oj0aC0tBQxMTF61p/4+HhMnDiR7Ti5OLAx\nM2cej4eWlhZoNBrs378fBw8eRH5+PsaNG4cvv/wS06ZNg0AgYK+Pjo7GvHnz2PrJZeWEgaIoKJVK\nFBcXY86cOZg5cyY++OAD5OXloaqqCn5+fpDJZGwZjRw5EnPnzuVsPS0oKMAXX3yBYcOGwcnJCbm5\nuRCJRPDx8cHFixdRVFSE2bNnY9myZXjiiScgFouhUqkgk8kwa9YsDB061N5J6BRDl6C0tDTk5+dD\nKpXi6NGjePPNNxEREYGLFy/i6tWrGDp0KJycnAAACQkJbFQOLsVCNgatEy/95s2bcHFxYSNtvPPO\nO4iKisLZs2dRU1PDTlopisLEiRPZcuRSGtVqNX788UfU1NSgrq4OCoUC1dXVeP3119nwq/3794dE\nIkFRURFycnLg6uoKLy8vUBSFsLAw9O/f397JMEtTUxPbdzLHj69evRoFBQUYNWoUvLy8sGbNGigU\nCojFYoSEhMDV1ZUdB5hNk1yH0VcKCwuxbds2NDU1wdfXF1988QWmT58ONzc3lJWVYcuWLYiPj2fH\ny7i4OIdIH9DRdSMjIwMvvvginnnmGc6MEXe1Eq3RaJCcnAwejwdvb29oNBp89dVX+O6775Camoro\n6Gg0NzejvLwcw4cPR0tLCw4dOoSpU6eyAwIXOkZdfvjhB6xcuRIBAQGIi4tDcnIyIiIisHDhQhw/\nfhylpaVISEhAdXU10tPTkZCQwOnlU0NUKhW++uorbNy4EYMHD2bDD+3fvx8zZ87E008/jdzcXKSk\npGDy5Mn49ddfMXz4cEilUnZGy4TM0rXycoXU1FR4e3uzLiibN2/GkiVLcOHCBUyZMgUTJ07EypUr\nIZFI0NjYiIEDB8Ld3Z3taJhOg/Er5VLaTFFQUIDXXnsNs2fPxvnz5+Hk5IThw4dDIpEgLS0Nra2t\niIqKYg834KrfM4O7uzu2bt0KkUgEpVKJbdu2QSQSITQ0FCEhIfj+++/x+OOPo7CwEIcPH8akSZPY\n8jN0PeIahpNXQLt/5MCBA3oHxdy+fRsREREoLS3FoUOHEBMToxeRglma5eIEj0kjoO3fT58+jaVL\nl+LixYsoLi5GREQEJBIJqqurER4ejrKyMvB4PAwZMkQvjjyzt4Irafz999/xySefANCOfd9++y0C\nAwPR2tqKmpoa/OMf/4BCoYBSqcTx48cRERGBn376CSKRCIMHD+ZMOsyRkZGBrVu3wtXVFb6+vjhz\n5gw+/PBDjB49Gnl5ecjJycHo0aMRFxeHLVu2YN++fZg3bx6cnZ0531eq1WqcP38eFEXB1dUVgNal\nYcWKFUhKSsLGjRshFovh6uqKHTt2YOLEidi6dStyc3MxefJkhxrnGXg8HlQqFdatW4eamhokJCTg\n7NmzEIvFGDFiBCfGiLtWid63bx+WLFkCkUiE+++/H0KhELt27UJpaSm+/vprnDp1CkePHsWsWbOw\nbds2ZGdnY9euXfDz88PYsWM5paAwmx4BQCaTobi4GJWVlQgPD4dMJkNhYSGSk5MRHh6OAwcOwN/f\nHx4eHggICNDbeOAIaDQa/Pjjj3B3d8e1a9fQ1NQELy8vpKWlYf78+ZDJZOzBMMOHD0dFRQW8vLzg\n5+enV15cdG9YvXo1/vnPfyI4OBiRkZHYsmUL8vLy8Pnnn+PIkSMoKyvDfffdh2HDhiEzMxPbt2/H\nzJkzIZPJOvhMcy1tQOcW2uLiYsyaNQvLly/HtGnT4O/vj7y8PMjlcoSFhXEyTYYwlhNvb28kJydj\n0qRJqKqqwq3/396dx0R9dQ0c/zIiDjPAiKKCCCgCZQZFqIpK9QFxLTZEbbTWYtVEaxRibV26WJda\njUZrulnT1q0uGG2NGgNUBAWqUwVFqOJKy6KCMBUoIyqLwPtHM/Naq33K0z4PM3A+iRENJHfC/Oae\ne+6555aX4+Xlhbu7O3q9nszMTJYuXUqHDh2som3dkxavmzdvxmAwoNVqUalU3L59m8rKSrRaLbt3\n7yY9PZ2ysjLUajU3btxg+PDhv9uatZTPT5Pi4mLWrl1LSkoKx48fZ9SoUdTV1bF582ZiYmLw9/c3\n17FrtVq2bNlCVlYWmZmZREdH/yG7Z0mv0Wg0snPnTubOncukSZMICgqiU6dOpKWl4e7uTlxcHKGh\noTg7OxMfH8+vv/7KhAkTGDlyJIMHD7aKZ8/k/PnzNDQ04O/vT2pqKq6ursyaNQudTkd2djY2NjYM\nHz6c/v37o1arCQ4ONl+GZqmOHj3K8uXLMRgM7Nmzh/bt2+Pt7c25c+cIDAykX79+xMfHc+/ePRYu\nXEhJSQkHDx6koaGBd9991yoORcL/zxHBwcHY29uTnp7OmjVraNeuHfn5+RQUFBAdHW3ehbWEOaLN\nBdFGo5Ho6Ghu377N4sWLiYqKMmd/rl69ysWLF0lPT0ehUODu7k5QUBAajYaCggJiY2MZN26cxWQv\nDQYD06dPp6qqCh8fH3Ng8ssvvzBo0CDS09OZMmUKmZmZDB06lPHjx6PX6/Hw8CAiIoI+ffpYVQDd\n0NCAra0tt27dor6+ntmzZ7Nhwwa8vb25cOECrq6ueHl5ceTIEaqqqnjxxRcJCQkxHzywdAqFgnPn\nznH37l0GDhxIRUUF3bt3Jycnh+LiYjIyMvDw8CAgIICQkBBu3brFgwcP6Nu3r0W8H/+d5mRojx07\nxujRowkICMDPz89qJnHTOD08PMjMzMRoNDJw4ECysrK4c+cOOTk5NDU1odVqCQoKsooAGv64eK2p\nqUGj0ZCUlMSgQYPw8PDg0qVL5OfnEx4ezsiRI2loaGDhwoXmMgjTRRyWKD09nY0bNzJkyBBmzpyJ\nra0tvr6+XLlyhZSUFJRKJXv27OFf//oXXl5e+Pr6UllZaa6JtvTt8fj4eIqLi4mOjqauro527drh\n4+NDQkICPj4+9O7dm8TERBISEsjNzWX06NF4enqad1wtlcFgYP78+Wg0Grp06YKzs7M5Y+vo6Iid\nnR1Xr14lNDQUJycnUlJS6Nq1K1qtFgcHBwYMGGDu522J7ty5w6xZsygpKeGtt95i0qRJuLu7c+XK\nFX788UccHR3Zvn07BQUFfP755xgMBmxtbRk/fjzDhg1j1KhRFv87fJRpjmjXrh06nY7z588zbNgw\nxo0bx+XLlzl16hSTJ0+mqKiIpKQkxowZ0+JzRJsLou3s7Dh58iT9+/dnxIgRlJaW8tlnn9GrVy/u\n3r2LXq8nMDCQJUuWkJycTGNjI+PHjyciIsJi6p5NamtrOXbsGGfOnKGsrIzw8HDc3NyIi4sjODjY\nHGQ9fPiQjRs3kpaWxssvv0xUVJRVPVgmpsxOeXk59vb2dO/enSNHjlBZWUlmZiZXrlwhOzub8vJy\npk2bhouLy+9aF1mSpqYmPv30U2pra/H09DQfHGxsbKRHjx5cunSJKVOmkJycjKurK7Gxsej1empq\navDz88PBwYHvv/+ekJAQiy9vgOZnaJVKJd7e3la1yDMxldJ4e3uzadMmJk6ciJubG8ePHzdP+gMH\nDmzpYf5lT1q8rl+/Hl9fX3JycnB0dOSZZ54hJyeHmzdv0qNHDzw9PTl9+jSbNm3i4cOHxMbGWlTX\nosclJCQwYMAAXnrpJezt7SkuLsZoNKLT6Thw4ACFhYXs3LmT0tJS0tPTGTNmDA4ODly+fBlvb2/z\nZTmWqq6uzrw7Z29vz/3792nfvj3l5eXo9XreeOMN+vXrh1qtZuHChVZzM21tbS0HDhxg79693Lhx\ng6qqKsaMGUNubq55oXfr1i1SUlI4ffo0eXl5TJw40eIXPSb37t0zd8sKDQ2lqakJd3d3Ghoa+Omn\nn8wxSWBgIGfOnDGXh7m4uFh8adjjTHNE165d2b9/v7mt58WLFzl8+DDh4eHm8rAPPvjAYuaINhdE\n29jY4OPjw1dffUV+fj4HDx7E3d2d0aNH07FjR1QqFXl5eezYsQMvLy9mzpzZ0kN+Knt7e7p160Z1\ndbV5K7W2thY/Pz9UKhUajYbvvvuOmJgY+vbtS2xsLL169WrpYf/HTIHwtWvX+PDDD7l16xavvPIK\nsbGxlJSUkJeXR8+ePVm3bh0uLi4Wexoefts6XrZsGRkZGebDHu3bt2f37t2MHTuWrKwsXFxcKCgo\nIDk52VxXOnv2bJydncnLy+PmzZuMHTvW4vsHQ+vN0D6JQqGgoqICNzc3Ll68SENDAyNGjCAsLIzn\nn3/ealpKmTxt8VpRUUFWVhY2NjZ8+eWX1NXVsWDBAvr27YtSqcTNzY2wsDAmT55s8e/R0tJS1qxZ\nQ1VVFRs3buTUqVOcP3+ezMxM5s2bx7Vr1zh27BiXL19mxowZeHh4oFQqad++PZ6enk/sdmRJ6uvr\nuX79OgC9evUyB1hpaWkMHjwYb29v1Gq1xR8afJy9vT1ubm7U19czdOhQ0tLS0Ov15OXl8eDBA3r3\n7k1UVBQ1NTU4OjqyYsUKqwmgAdRqNQ4ODiQmJhIYGIiTkxMKhcJ8Ffu0adMICgriwoULqNVqVq9e\nbVWv71GmOaJHjx5kZWVx+/ZtxowZw9mzZ4mKiqK8vByFQkHPnj3p37+/xcwRNk2mEx5tzEcffcTh\nw4dJSkr6Q1Y2Pz+fjh07Wuzp/0cZjUa++eYbiouLiYqKYvXq1Xh6ejJnzhy6dOlCamoq48aNM7dy\naw1qamqYM2cOy5cvN7evMR2OmTdvHuvXr7f41meNjY3Ex8dz5MgRqqurmTp1KqGhoaSmpuLo6Ehl\nZSVXrlxhwYIF7N27l/DwcPr06fO7n7eWEgcTUyu3wsJCFi1axCeffEJpaSn79u0D4O2337aahv9/\npqysjDVr1mBjY4PBYGD58uVotdqWHtbflpiYyJo1axg0aBCRkZGMHDmSRYsW0adPHwICAszZdVPn\nDktcvP4ZvV7PgwcPUCgUREREADBx4kS2b9+OSqUiPz/fatqCPcmhQ4dIS0sjPDyc3r17s3PnTmpq\nanjnnXesYjfraYxGIzt27ECj0TBjxgx+/vlnvvjiC5KSkhg6dCgbNmywmprgJ6murmbr1q0oFArm\nz59v/v/Zs2fz/vvv071799+1YbRmpjmiqKiIN998k02bNrF//36ys7Pp1KkTy5Yts7i4rM1lok38\n/Pw4e/as+baluro682FBZ2dnqwk6O3TogK2tLRkZGYwYMQJvb28SExNRKBSEh4ej0+msblvn3zEY\nDJw7d46IiAhUKpW5ZMPJyYnOnTvj6+tr8eUqNjY2aDQaysvLcXBwwMPDg48//hiNRsNzzz1H165d\nuXbtGgMGDCA8PJyuXbuab0uzxgAFWl+G9mkcHBzQ6XQolUqWLFlivhXU2nl4ePDDDz+wePFiczu3\nAQMGMGTIEPO5A9Nkbo3vT1dXV5RKpbn93vbt27GxsWHEiBEolUpzhs/Sbhv8q0wHQK9fv87Ro0eJ\niIhg4cKFODk5tfTQ/pYOHTqgUqlISkrC1dUVrVbL6NGjCQsL49lnn7XIm4Obw87ODpVKxcmTJ9Fq\ntdy/f5+VK1fi6urKqFGjzO38WoNH54gLFy5ga2vLq6++SlhYGBMmTLDIuMz6ep78Qzp37kxkZCSr\nVq3iwIEDFr/d+Gf8/f0JCAhg8+bNrF27loCAgFYzcT9J9+7dUSqV2Nramlffpr9HjhzZkkNrlm7d\nuhEYGMihQ4cIDQ0lPz+fuLg4FAoFc+fOZenSpebvNWWerTE4MXk8Qzt16lQAi66V/U95eXnh5eXV\n0sP4R1VUVKDRaFCpVOZg2ZQVevzSI2t0//59vv76awwGA6WlpWi1Wl5//fU/TNzW/BrDwsIICwuz\nyHMif4e/vz+BgYHs2rWLjRs3AqDT6Vp4VP8cf39/dDodU6dOxc/PjwkTJvDCCy+09LD+cY/OEWVl\nZURHRwNYXPb5UW22nAN+O5SQkJDAhAkTAMvr+dwchYWF5ObmtsoHqzWrrq5my5Yt2NnZERMTg16v\nx9/f31zWYI1lG3+mqKiI7OxsIiMjrXrh2lYtWbKExYsX06VLl5Yeyn+F0WgkNzcXBwcHAgMDgdb3\nDLZWhYWFXLp0icjISKuey5/m5s2bpKamMmXKlFb92Wltc0SbDqKFdWstk1tWVhYnTpwgJibGXNLQ\nWl6bENbKVD4lz6EQ4mkkiBaihT0eMLe2rVbRurSFBZ48g0KIv0KCaCEsRFsIToQQQojWQoJoIYQQ\nQgghmknSXkIIIYQQQjSTBNFCCCGEEEI0kwTRQgghhBBCNJME0UIIIYQQQjRTm72xUAghrN2qVas4\nf/489fX1FBUV4ePjA/x28URycnKrvRRFCCEsgXTnEEIIK1dcXMy0adM4ceJESw9FCCHaDMlECyGE\nlXs8FxIREcHu3bvJyMggLS0Ng8FAWVkZ06dPp6SkhDNnztCxY0e2bt2KnZ0dhw8fZteuXTQ2NhIQ\nEMCKFSus4spdIYRoSVITLYQQrZDpxr3c3Fy2bdtGXFwc69atIywsjCNHjgBw8uRJ8vLy+Pbbb9m3\nbx+HDx+mU6dObNu2rSWHLoQQVkEy0UII0QqZstPBwcGo1WrUajUAQ4YMAcDd3R2j0UhGRgZFRUVM\nnjwZgPr6egICAlpm0EIIYUUkiBZCiFbs8bKMx6+Wb2xsZOzYsbz33nsA3Lt3j4aGhv/Z+IQQwlpJ\nOYcQQrRhISEhpKSkUFFRQVNTEytXrmTXrl0tPSwhhLB4kokWQohWwFQDbfra9Odp32P6t7+/PzEx\nMUyfPp3GxkZ0Oh2vvfba/2TMQghhzaTFnRBCCCGEEM0k5RxCCCGEEEI0kwTRQgghhBBCNJME0UII\nIYQQQjSTBNFCCCGEEEI0kwTRQgghhBBCNJME0UIIIYQQQjSTBNFCCCGEEEI00/8BU01Ytmc7DfsA\nAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "single_diode_out[['p_mp']].plot()\n", + "plt.ylabel('DC Power (W)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## AC power using SAPM" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get the inverter database from the web" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "sapm_inverters = pvlib.pvsystem.retrieve_sam('sandiainverter')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Choose a particular inverter" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Vac 208.000000\n", + "Paco 250.000000\n", + "Pdco 259.522050\n", + "Vdco 40.242603\n", + "Pso 1.771614\n", + "C0 -0.000025\n", + "C1 -0.000090\n", + "C2 0.000669\n", + "C3 -0.018900\n", + "Pnt 0.020000\n", + "Vdcmax 65.000000\n", + "Idcmax 10.000000\n", + "Mppt_low 20.000000\n", + "Mppt_high 50.000000\n", + "Name: ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_, dtype: float64" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sapm_inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_']\n", + "sapm_inverter" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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TDpCvaoO6BqSuQ/PV9YtDS1TyceegzR+zQNFOJUIURBT8s4PxEPfOfABHXU4y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8UCrVYrtWhBJTc3F3q9HqtWrUJ9fT2+/fZbzJw5E4mJiVKLFhQEQcC6desgCALee+89lJeXo6Ki\nAhMnTpRatIA5ceIE7HY7Xn31VWzduhVbtmzBwoULkZmZKbVoQaO+vh4LFizATTfdhC1btoAxhiuv\nvBKzZ8+WWrSgsGvXLlx11VW4++678dFHHyE+Ph7Lli1DZGSk1KIFjffeew9Hjx7Fr3/9axiNRlEm\nOcoVK1asCJ1oBNBnJ1VbW4v4+HjY7XZwHIejR4/igw8+QHNzM7Zv3w6FQoFJkyZJLapXGGNgjOHs\n2bNITk6GQqFAXFwc3nnnHezZswcRERH497//DZ7ncemll0otbkB0dXXBZDJBp9NBp9Nh06ZNaGtr\nw4cffoj9+/ejsLAQs2bNGvEKS3d3NyIjI2Gz2fDqq68iNzcXFRUVmDNnjtSiBQWO41BZWYnJkyej\ns7MTb731FpqamhAXF4eEhASpxfOL5uZmREdHQ6PR4NixYxg7diw++eQTbNu2DQcPHoRWq0V2drbU\nYgZEaWkpOjo6kJiYiI6ODpSWlmLv3r04ffo0qqqqcPLkScTFxSEjI0NqUf2mrq4OdrsdkZGRaGxs\nxMGDB1FQUIB9+/bh888/h8ViQUZGBqKioqQW1ScYY+A4DgUFBaitrcWYMWOQkZGBtWvXYt++fVCr\n1WhpacGePXuQkJCAsWPHSi2yaPrzuHPnTtTU1CAnJwdWqxU7duzAoUOHMGXKFNjtdhw+fBhWq1X2\nY7or/fk7ePAgbDabY6L66quvIi8vD+np6di7dy+qq6uRlpY2YvtQV44fP47FixejubkZe/bscbyX\ncXFxwz5L5hxhYPv27XjggQcAAGq1GtHR0dBqtXjmmWfwzDPP4H/+53/wzjvvSCzl8HAchxMnTuCx\nxx5Dc3MzAGD69OmYM2cOfvvb3+L+++/HihUr8PHHH4vaDpEjjz32GE6cOAGr1YqJEydi4cKFaGho\nwLvvvotnn30WDQ0NKCkpkVpMv3juuefwySefAACioqJQV1eHvLw8LF++HDfeeCNKSkrw0UcfSSyl\n/5SVlaF/bUAQBGRnZ2Pv3r04d+4c7rnnHnR2dmKkrh0UFRXh5ZdfxtmzZwEACxcuxAcffIBrrrkG\n69atw+WXX45jx46hsrJSYkkD44MPPsDGjRsBAJdeeilUKhUmTZqE1atX4/HHH8fEiRNx8uRJiaX0\nn6amJqxatQonTpwAAPz85z8Hz/PIzMzEa6+9hkceeQTl5eUjyr6W4zgAfbuTBw4cQGtrKyIjI3HH\nHXcgOzsbDz74IJ544gmkpaXh/PnzEkvrHxzHwWaz4YsvvsDXX3/tGB+mT5+O7373u7j11ltx++23\nY8aMGWhsbBxxpn8cx6Gurg5r165FQUEB7HY7rrjiCixatAjLli3DnXfeiSeffBINDQ0j2r598Bhh\ntVpRUVGB4uJidHR04J577kFlZSWeeeYZn+IiJTrE6PV67N27F/X19Vi/fj0A4PLLL8evfvUrjBs3\nDgAwd+5czJkzBz09PVKK6hXGGEwmE7Zt2wa9Xo/t27cDABISEnDPPfc4Vi5nz56NnJwc1NfXSylu\nQJw6dQonT57E0aNHHfm48847cffdd0MQBKSmpmLMmDHIz8+XWFLxNDU1ITc3F1988QVMJhOysrKw\naNEi3HzzzRg/fjxmzZqFRYsWwWQyjVjb4fLycmzatAlHjx6FQqFAdnY2rrnmGtx3332YPn06/vzn\nP0OpVI6oSVD/YLxjxw4UFhbi0KFDEAQBS5YswV133eV4/5YtW4ba2toRs3rpjm+++QZ5eXlobGzE\nrl27AAB33303brjhBgBAXFwcLBbLiLSN7q/H3bt34/Tp0ygsLERpaSkA4IknnsCPfvQjAMCcOXPQ\n0tIy4g7C7t69G+Xl5dDr9Y5D8zfeeCP++Mc/OpSujIwMdHR0SCmmaAYrw9u2bUN3dzfUajU2bNgA\nALjjjjvws5/9DAAQERGBlpYWJCQkQKEYWSqWIAjYvHkzuru7UVFRgdOnTwMAHnzwQfzwhz8EAIcp\nTnd3t2RyBkr/GHHkyBFoNBrMnTsXW7ZswSWXXILvfOc7eOihh8DzPIqLi4eNi8w5gkxrayu+/fZb\n6HQ6xMbGoq2tDVqtFn/605+wfPly3HLLLUhMTATHcfjqq69gNBrx7rvvQhAEfP/735dafCdaW1vx\n7rvvQqPRQKfTITo6Gowx3HXXXfjoo48wadIkZGRkQKvV4r///S+OHTuGHTt2wGg04sYbb4RSqZQ6\nCz5RUFCA5uZmxMbGQq1Wo6SkBJdffjkaGxvBcRzGjx+PlJQUdHd344svvkB0dDS++OIL/PSnP0V6\nerrU4ntFEAS0trY6lKpdu3YhLS0NOp0Op06dwpVXXokJEyYgNjbWYb7y3nvvYfr06Zg8ebLE0vuG\nyWSCSqUCx3FoamrC559/jhkzZuDDDz/Er371K6SkpGDy5MlQKpXQaDSorq5GeXk5brzxRsfqmVw5\nd+4cIiMjodVqYbVacejQISxevBgdHR0wm83IycnBd77zHRw4cACZmZk4e/YsioqKsHTp0hGjSH/2\n2Weoq6tDREQEYmJi0NzcjMmTJ2P+/PnYuXMnli5diqSkJBw+fBifffYZurq6sGvXLsyfPx8TJkyQ\nWnyf6J8MqNVqaLVaVFVVYeHChTAajTCZTJg8eTLS09Nx7NgxnDhxAh0dHTh9+jR+8IMfyNr2e+3a\ntTh79izsdjvGjh0LnuexbNkyKBQK1NbWIjU1FUlJSTh37hyeeOIJtLe3Y8eOHbjllltGhClOS0sL\nnn32WZSWlsJkMiE7OxsRERGYMmUKZs6ciV27dmHmzJlITk7Gxx9/jDVr1uDEiROorq7G9ddfL/uz\nMy0tLVi9erXDDjglJQUKhQLXXXcdGhsb0d3djYkTJyI+Ph4ffPAB3n//fRw/fhxtbW244YYbEB0d\nLXUWfMLbGPHrX/8a06dPx759+xAfH48pU6agqakJBQUFuOmmm4bVY0iJDiLffPMNHn30UahUKuzc\nuROxsbGYOXMmoqOjMW7cOJSUlODQoUNYtmwZenp6kJubiy+//BLTpk3DQw89JLX4Thw7dgyPP/44\nMjIyUF5ejiNHjmDx4sWIi4tDZmYm6urqcPLkSSxevBiCIKC3txf5+fkYP348Hn/8cdkr0IwxWK1W\nrF69Glu3boVer8fXX3+NuXPnIjU1FXPmzIHNZsORI0cwbtw4pKSkoLKyErt378a+fftw3XXX4eqr\nr5Y6G17ZunUrnnrqKZw5cwbt7e2YOXMmkpKScMkll2DatGl4//33MW/ePCQnJ+Pdd9/Fxo0b8a9/\n/QuTJ0/GTTfdBI1GI3UWhuW1117D5s2bUVFRgUmTJjkUjjvuuAM7duxAR0cH5syZg8bGRjzzzDPY\nvXs3tm/fjvnz58v64E9zczMeffRR7N+/HwcPHoTVasX06dMxZcoUTJo0CfX19SgrK8OMGTOg0+mw\nfv16fP755zhw4AAeeOCBEXGA0mw2Y+XKlTh58iRUKhXefvttXHXVVZg6dSomTJgAtVqNwsJCNDc3\nY+bMmVCpVKipqUF+fj5+//vfY8GCBVJnYVhaWlqwfPly5OXloaOjA5s2bcKPfvQjJCcnY86cOWho\naEBFRQXi4uKQlpaGpqYmHDhwAOfOncO9996LqVOnSp2FITDGYDQasXz5cpjNZsycORNr1qzBxIkT\nMXPmTKSlpSEqKgr5+fmw2+2OxRa1Wg2LxYI//elPI8JWuKurC6tWrcLUqVMxffp0rFmzBlOmTMHU\nqVMxbtw4aLVa1NbWoqioCAsWLMC0adMwYcIE6HQ6PProo7JXoMvLy7F8+XJMnToVGo0GL730Em6+\n+WakpaVhzJgx6O3tRVFREXQ6HbKyspCWlga73Y64uDj83//934hRoL2NETt37kRbWxvmzp2LrKws\nHD16FNu2bcO2bdswb948XH755cMnwIig8dprr7FTp04xxhjbtm0be/HFF9mBAwccvxsMBrZ06VJ2\n+vRpx3cWiyXscnrDZDIxxhj7+uuv2fr16xljjLW2trL/+7//Y+vWrXOEMxqN7K677mI7d+50fGe3\n28Mqa6AYDAb2v//7v6yzs5MxxtgLL7zAHnroIacwK1euZOvXr2d6vZ4xNrS+BEEIj7Ai6ejoYA8/\n/DBrbGxk1dXV7OGHH2affPKJo34ZY+yNN95gjz76KGOsLx8mk4mdP3/e8btc89bP119/zR566CHW\n1NTE/va3v7E1a9awsrIyx+/nzp1jV199NTMYDIyxvna8f/9+1tLSIpXIPvPf//6X/e1vf2OMMXbk\nyBF2yy23sLq6OsfvBQUFbPXq1WzTpk2Msb666u7ulkRWsZjNZsYYYy0tLez22293fP/888+zN954\nw1E/FouF7d+/n91///2surp6SDyCIMi2jdpsNsYYY0VFRez+++93fH/zzTezDz/80PG5vb2dvfrq\nq2z9+vWOfqi/fBiTXx5bW1sZY4xZrVb28MMPs5qaGsYYY5s2bWI33XSTU9itW7ey5557jp04cSLs\ncgZCeXk5Y4yxzs5OdsMNNzj6/PXr17MXXnjBkWee59np06fZ7373O3b8+HHJ5BVLU1MTY4yx0tJS\np/HuwQcfZM8++6zjs8ViYW+99RZbs2aNU98zkhA7RpjNZnby5EnW1tbmcxq0Eh0AhYWFePHFF9HR\n0YGsrCzs2bMHDQ0NuPLKK5GSkoLm5mZUV1djxowZUKlU0Gq16OzsRG5uLq655hoAkM2K7dmzZ/Hs\ns8/i7NmzSE1NRXl5Oerq6nDVVVdBp9MhLS0NmzZtwqJFixAVFQW1Wg2TyYSysjIsWLAACoViRNh/\n7dixA19++SXUajV6e3tRVVWF6dOnIzY2FldeeSXWrFmDadOmYcyYMQCAyMhI7NixA7NmzXKY4XAc\nB57noVAoZGUO0NLSgn379iEpKQlarRarV6/GbbfdhrS0NAiCgOLiYkRHRzvylp2djXfeeQcTJkxA\nVlYWVCoV4uLiIAgCGGOyrM+KigrwPI+oqChs2bIFU6ZMwRVXXIFx48ahrq4OlZWVmDt3LjiOQ0pK\nCs6cOYOvvvoK119/PSIjIzF+/HjZmjls3rwZRUVFSE9PR29vLwoLC3HVVVchOzsbxcXFKCsrwxVX\nXAEASExMRENDA0pLSzFjxgyHyYfcWb9+Pd555x3Y7XZkZmaisLDQ4cVg7Nix+Oqrr5CTk4P09HQo\nlUpERkaioaHBsQPWjyAIsnv/+vnPf/6DL7/8EklJSTAYDNDr9cjIyEBiYiIuueQSrFq1CrfeeisU\nCgV0Oh26u7tRXl6OSZMmIS4uDipVn+dZOfUxBoMBq1atwpYtW6DX62G329HR0YGYmBhkZmZixowZ\n+PTTT2G32zFjxgwAQHJyMiorKzF9+nRZm6T0U1RUhBdeeAFffvklqqqqkJCQAKVSidraWkyfPh0T\nJkzAzp07kZGRgXHjxoHjOERGRkKn02HixIk+eXKQkjNnzuCFF17Anj17AABGoxFGoxGJiYlITk7G\nvHnz8Pzzz+N73/se4uLiHLpJd3c3Zs6cCZ1OJ6X4PuPPGPH111/juuuug0qlwpgxY0S57yMl2k+2\nbt2KN998E9dffz0aGxuxYcMG/OUvf8G6detwzTXXIDk5GZ2dnSgsLMTChQuhVqvBcRwWLlzoUKDl\nQm5uLtasWYNbb70VHMdh3bp1+NOf/oTVq1dj6dKliI+PR2RkJCoqKhymKQAwY8YMLFq0SJbKliv9\nphtHjhzB5MmT8f777+O73/0uvv32WyQmJmL8+PFQKpXgOA7Hjx/H0qVLAfQdgrnsssscee4f0OSW\n5//85z948803YTKZsH37dqSnpyM1NRX5+fmYP38+0tPTcfz4ccTFxWHixIlgjCEqKgpz5swZYtbQ\nP1GQE729vXjllVfw73//G2VlZSguLsZ1112Hf/7zn7jllluQkJAAo9GI6upqjB8/HrGxsQCARYsW\nQaPRyHr7uKmpCffccw9MJhN6enpw5swZqNVqMMag0WgwduxYTJ48GS+99BKuvVbkmMcAACAASURB\nVPZaREdHQ6lUIiUlBYsWLUJ8fLzUWfCJxx57DL29vbjhhhtQUFCAyspKXHLJJSgrK8P06dORkZGB\nvLw8FBUVYcmSJQDgaKOul1LJrX0CfX67H3zwQTDGkJ6ejsOHDzvM4VJTU5GWloasrCzk5eWhvr4e\nc+fOBdA3mZ07d+6Qg5Jy6WP6/TynpKTgnnvuwfbt25GdnQ29Xo+2tjaMHTsWMTExGDNmDLZt2+Y4\nHBkVFYX58+ePCAUaAF566SUsWrQI9957L6qqqtDU1ISMjAyUlJQ4zBkaGhqwf/9+x/klrVbrmPzI\nGb1ejxdffBE33XQTLrvsMuzatQuzZ89GQUEBIiMjkZqaisTEROj1epSXlzvMGMaMGYPZs2ePCAU6\nkDFCrVb7PUbI4y0dQfSf0m1ra8MvfvEL/OxnP3McFkxJScGCBQvw8ssvA+jzutHY2AhgoENkMvJ4\n0C9La2sr0tLScPXVV+PXv/41NBoNoqKi8JOf/ASvvfYaTCYToqOj0dzc7FAmRxoGgwGnTp3Cm2++\nidtvvx0ZGRmoq6vDLbfcgs8//9zhcikxMdFxoK6/rtPT02VVb+4oLi7Gk08+iRUrVmDJkiWorKzE\nnDlzUFZWhsLCQkRHR2Ps2LGOE/P9Ski/zaXc83fw4EE0Njbi008/xVNPPYVvv/0WKSkpuOSSS/D2\n228D6PMMU1xc7LSSFx0djeuvv15K0YclLy8PCxYswMqVK3HLLbegp6cHV1xxBRQKBc6dOwe9Xo/0\n9HQsWLAAdXV1judSU1MdA4HcaWxshMFgwNNPP41FixZBpVJhwoQJjgncli1bAPT1mfHx8U7eEPon\nFHJvo5WVlejo6MCTTz6J3/72t2hpaUFOTg5mzZqFEydOOE76X3bZZU4XqfSvuMvVHZrVasXevXtx\nww03ICsrCxkZGaiqqsIvf/lLNDY2Yu/evQD66rh/hU+OkxxvnD9/Ho2NjfjpT3+KxMREnD9/HomJ\niVi4cCHi4+Px1ltvAegri9mzZ8u+LbpSU1ODuro6LF26FFdccQXa29sRFRWFa6+9FgUFBTh8+DCA\nvnMK/ZO7kYZUYwQp0SLpV4ZTU1MdW6vHjh2DzWaDSqXCAw88gLNnz+KVV17BnXfeiSlTpjhts8qh\nc+nvAAYrUvfddx+APhOVuLg4aLVa3H///YiKisLf//533HrrrYiJiUF8fPyI60AAID4+Hj//+c/R\n2dkJoM8NkUKhwKJFi5CTk4MNGzZg5cqVeOeddxyKyeCVIDnUmyf6dwj6t7sPHjyIxMREzJo1C5de\neimeeeYZnDlzBgcPHsS0adPc1p+c8wcAtbW1WLZsGYC+ASEpKQlJSUm4++67sWHDBpSWlqK4uBhK\npRIWiwWAfEylPNF/vbNSqXRcWhAdHY2CggLEx8dj8eLFaGlpwapVq7BmzRqUlpaOGG8UrmRkZODa\na6915Fmv10OlUiEnJwc/+tGPsHPnTjz++OP4+9//7phADGYkKGaXXnopfvKTn8But8NisUCj0YDj\nOFx77bVITEzEu+++i6eeegqbN292mFQNRi4rz2az2dFH9F86sWbNGqSkpADoUyQnTJiA5ORk/PjH\nP0ZDQwPuvvtubN26FfPmzZNSdJ9xnZSNHz8ey5cvd9SBzWbD1KlTkZqaittuuw0A8Ic//AG5ubn4\nwQ9+IPu26NrHz549Gy+99BKAvgWlyMhIZGVlYcmSJbj88stx4MAB3HnnnWhubsaUKVOkEDlgJBsj\nArTbHvUIguB0YI7n+SG/P/DAA2zPnj2O7wwGAzt48CA7dOhQ2OT0lcF5cXcQ8MUXX2RvvPEGY6wv\nHz09Pay8vJzl5uaGTcZA4Xl+SD0Npqamht1xxx2Og1itra2soqKCvfHGG6y2tjZcYvpN/0GjwQeO\n+g+/WCwWdtdddzkdMtu4cSN76qmn2AcffBBeQYNAfx6bm5sddXrgwAH23HPPOcJs2rSJPffcc+yW\nW25hR44ckUROX8nLy3Mc5nTXRrds2cIefvhhx+euri728ccfs7fffpv19PSETc5AGO6AcU1NDfvx\nj3/s+NzZ2ck6OzvZ0aNHmdVqDbV4QcE1j651efDgQXbHHXc4Pre3t7OioiK2ZcsWWefRYrGwffv2\nOR1+H0xFRQW78847mclkYiaTyXFIq6CgIJxiBg2j0cgYc+5Ly8vLHXVXXl7uKIuRcCDZVV9hbGhb\n/fzzzx0HChsaGlhTUxMzGAyspKQkbHIGE6nHCLKJ9oDVakV1dTUSExOhUChgs9kcNrODsVgsOHbs\nGG666Sa89dZb+PDDD3HdddchJycHWVlZEknvGYVCAbPZjH//+99Qq9UOP8d2ux0KhQJ79+7FsmXL\nsHXrVrz11ltYunSpYwtvpNC/alVdXY3c3FxkZmY6zTjz8vIctsHLly9HZGQk5s2b9//bu/eoKqu8\ngePfc7gf7gpyF+V+QFEUL1gEIqijLcdLF1MMc3lZJTU1ps2UaWlWkzpa45iWWeINi8JcaiKkMIYK\nhmiQN5SLcvMkMJJyP4f3j97nGUSrYab35Tm4P2u5vICuvX3O8+zf3s9v/zbh4eHY2dnJr1WVutog\ntevy5cv07t0bvV6PmZkZ8NNJTJWVlcTFxbF9+3auXbvG1KlTGT16tHwUu8FgUGzfpM1Ukvb/PYbW\n2tpabvP777/Pww8/jKOjI59//jmPP/44kZGRPPLII3dsPlMSqR/Ozs68+eabBAUF4eXldVd/09PT\n+f3vf88PP/zABx98gL+/Pw888ABDhgxRfMnB9v9d3ZPutUuXLnH79u278kULCgowNTWlV69eLF26\nFIPBwNChQ+X7VHoWKVHnPjY3N8v1Z6WvS8cmDxw4EL1ez8qVK/Hy8mLQoEEEBwdjYmJy13XvblJ7\n9Ho9+fn5JCUl0dbWRkBAgNw3lUpFQUEBjY2NtLa2snz5cjlf38XFpZt78OukPkrX6OzZs+zevVt+\n8yH9eU5ODtXV1VRXV/PJJ5+g1Wrp16+fYjckd6RSqVCr1TQ2NnLkyBH69+8vf1al/mdlZeHh4UF+\nfj5btmwhLCwMT09Pevfu3c2t//cobYww/U3/tR7k2LFjJCUlsW3bNlJTU9m3bx9xcXEMGDCA0NBQ\n9Ho9JiYmVFZWkpKSwuXLl4mIiOAvf/mLonbJd97hXVJSwtq1a7GwsGD+/Pny95mamtLU1MSOHTs4\ndeoUcXFxvP/++13apdqdpOsBP91UqampbN68mZUrV8oBpuSLL77gwoUL5OTkEBkZecchN9Kuf6WR\nHhSS3Nxcdu/ezZo1a+6YIBw/fpy8vDyeffZZHBwcSExMlL8mBc9K7R/86/Xa4cOHCQkJwcPDQ/66\nSqWivr6eixcvUlBQwKZNmwgMDKStre2eE1wlkdpmYmLC0qVLWbNmDSkpKXdcO51Ox/HjxykoKMBg\nMMjHJRsLafJ65coVkpKSOH78OJMnT2bu3LlYWFjI1zA7O5vPP/+cq1evkpCQIKfFSaR8RSWS+lhS\nUsK6detwdHRk/Pjxch+kY6H37dtHQ0MD/fr1Y/r06XfUm+0YhCtBx2enubk5tbW1XLp0iaioqLuu\nRVpaGqmpqRgMBlasWGEUBzJJz3Spj62trfKhS9bW1vLkQfp6eno6J06cwM/PzyjGwM5j1t69e9m5\nc6dc13n06NFoNBpMTExob28nOTkZExMTpk6dahT9kyh1jFDu06obSKW9TExMGDNmDBkZGSQmJuLi\n4sKCBQsoKipi8+bNrFu3Tl4VunTpEhMnTuTZZ59V3IDX8cFw5swZNBoNNjY2uLi43LNQemVlJXPm\nzGHatGl3bHxRss4PyLKyMjw8PLh16xbW1tby4NXe3o7BYMDExAR3d3ecnJxYvHixvOtYugGVFGB2\nbLNKpaKyslI+QcpgMBAYGCivakkPSKkCR0JCgpyfqMS+ddRxELhw4QLJyckUFhbSt29fpkyZQmRk\nJCqVivb2dqqrq+WDRl5++WWj+ZwClJaWsnTpUj7++GOSk5PZsWMH8fHxtLW1YWpqSnt7O8XFxbz4\n4os8/vjj3d3c/0hZWRnLly9nzpw5jBw5ktTUVC5evEhoaKg8gJmbm/PMM88we/Zs+e8pdfIKd0/Q\nDx06RHJyMjNnzqSpqYn333+fXr16ERgYiMFgwMzMTK5q8OSTT8r/jnQfKm2yZ2JiQnl5Oe+99x42\nNjbExcWxbNkyCgsLKS8vx9PTU/4/iImJITIyUj4CWsk6Pj8lW7ZsoaioiCeffJKRI0fy7LPPMn/+\nfMzMzOQ+Tpw4kfnz5yvyoJuO7tW/9vZ28vPzWblyJUFBQej1em7evImJiYm8uJeQkMDw4cMV3z9J\n5/tGaWOESOfoQAo0ampq0Gg0BAYGsnfvXubOnUt4eDheXl6cPXsWR0dHeWOIr68v48aNU0yZKZ1O\nx65du/D09MTW1hadTsfy5cv56quvOHnyJP7+/ri4uFBeXo6NjQ2urq7yarWjoyMPPPCAUZQk6vwa\ntaioiJdeeon09HQqKirQarUYDAaqqqoICQm5Y/VnyJAhxMbGyg9OJQ5s0sxZrVbT3NyMwWAgLS2N\n9PR0SktLiYqK4q9//SvTpk3D1NRU/n6tVsucOXPkz6eSgxOJSqWisbGR8vJyEhISmDlzJi+//DIl\nJSXcuHEDNzc37Ozs5Gs0fPhwZs+erdjPaVlZGatXr2bo0KFYWlpy5coVzM3N6dOnD2fPnuXatWvM\nmjWLt956i6lTp2JhYUFbWxt2dnbEx8cTFhbW3V34VZ1TgvLy8igtLcXGxobMzEwWLVqEv78/Z8+e\n5dy5c4SFhWFpaQlARESEXJVDSbWQ76W9Q730iooKrK2t5UobS5YsITAwkNzcXOrq6uRJq0qlIjY2\nVr6OSuqjXq9nz5491NXVUV9fj4uLC7W1tbzwwgty+VU/Pz80Gg3Xrl3j8uXL2Nra4uTkhEqlwsfH\nBz8/v+7uxi9qaGiQn53S8eObNm2irKyMESNG4OTkxObNm3FxccHCwoJ+/fpha2srjwPSpkmlk+KV\nq1evkpycTENDA66urqxevZpHHnkEe3t7qqur2bVrF0OGDJHHy0GDBhlF/+Du1I2CggIWLFjAjBkz\nFDNG3NdBtMFgICUlBbVajbOzMwaDgfXr1/Phhx9y6tQptFotTU1NXL9+nfDwcJqbm8nIyGDKlCny\ngKCEB2NH27dvZ926dXh4eDBo0CBSUlLw9/dn6dKlHDt2jKqqKiIiIqitrSU/P5+IiAhFvz7trK2t\njfXr15OUlERoaKhcfigtLY2ZM2fyxBNPcOXKFXJychg/fjz79+8nPDwcGxsbeUYrlczquMqrFKdO\nncLZ2VlOQdm5cycrV67kzJkzTJw4kdjYWNatW4dGo+H27dsEBwfj4OAgP2ikh4aUV6qkvv2csrIy\nnn/+eWbNmsXp06extLQkPDwcjUZDXl4eLS0tBAYGyocbKDXvWeLg4MDu3bsxNzensbGR5ORkzM3N\n6d+/P/369WPr1q1MnjyZq1evcuTIEeLi4uTr1zn1SGk6T17hp/0jhw8fvuOgmJs3b+Lv709VVRUZ\nGRmEhITcUZFCejWrxAme1Ef46fl+4sQJVq1axdmzZykvL8ff3x+NRkNtbS2+vr5UV1ejVqsZPHjw\nHXXkpb0VSunjwYMHefPNN4Gfxr6NGzfi6elJS0sLdXV1PPfcc7i4uNDY2MixY8fw9/fns88+w9zc\nnNDQUMX045cUFBSwe/dubG1tcXV15eTJkyxfvpyRI0dSUlLC5cuXGTlyJIMGDWLXrl0cOnSIOXPm\nYGVlpfhnpV6v5/Tp06hUKmxtbYGfUhrWrl1LZGQkSUlJWFhYYGtrS2pqKrGxsezevZsrV64wfvx4\noxrnJWq1mra2NrZs2UJdXR0RERHk5uZiYWHBsGHDFDFG3LdB9KFDh1i5ciXm5uaMHTsWMzMzvvzy\nS6qqqnj33Xc5fvw4mZmZxMfHk5ycTFFREV9++SVubm489NBDigpQpE2PAHZ2dpSXl/PDDz/g6+uL\nnZ0dV69eJSUlBV9fXw4fPoy7uzuOjo54eHjcsfHAGBgMBvbs2YODgwPnz5+noaEBJycn8vLymDdv\nHnZ2dvLBMOHh4eh0OpycnHBzc7vjeikxvWHTpk28/vrreHt7ExAQwK5duygpKeGdd97h6NGjVFdX\nExMTw9ChQ7lw4QKffvopM2fOxM7O7q6caaX1DX59hba8vJz4+HjWrFnDtGnTcHd3p6SkhF69euHj\n46PIPnUmrZw4OzuTkpJCXFwcN27coKamBm9vbzw8PMjOziY3N5dXXnkFCwsLoyhbd6/J68aNG9Hp\ndGi1WjQaDVVVVdTV1aHVatm+fTtZWVlcv34da2trrl69yujRo+94NauU56ekoqKCt956i4yMDL7+\n+mvi4uJoaWlh48aNLFy4kKCgIDmPXavV8uGHH5KXl0dubi7x8fF3re4pqY/19fVs27aNp59+mkcf\nfZTBgwfTq1cvMjMz8fDwYOfOnYwaNQpHR0f279/PP//5T6ZMmUJsbCwjR440intPcvr0afR6PUFB\nQRw9ehRXV1fmzp1LcHAw+fn5qFQqRo8ezdChQ7G2tiYsLEw+DE2pDh06xLJly9DpdOzYsQMzMzN8\nfHz49ttvCQ0NZdCgQezfv5/bt2+zaNEiKisr+eKLL9Dr9bz88stGsSkS/jVGhIWFYWVlRVZWFqtW\nrcLExITi4mJKSkqIj4+X38IqYYy474Lo+vp64uPjqaqqYvHixUyaNEle/blw4QIFBQVkZWWhVqvx\n8PBg8ODB2NvbU1JSQmJiIhMnTlTM6qVOpyMhIYGbN2/i5+cnByY//PADI0aMICsri+nTp5Obm8uD\nDz7I5MmTyc7OxsvLi5iYGAYMGGBUAbRer8fU1JTy8nJaW1uZN28eq1evxsfHh++++w5XV1e8vb3Z\nt28fN2/eZNq0aQwfPlzeeKB0arWab7/9lh9//JFhw4ZRW1uLu7s7Z86coaKigpycHLy8vAgJCWH4\n8OGUl5fT2NjIwIEDFfF5/DVdWaE9fPgwY8eOJSQkhICAAKMZxKV2enl5kZubS319PcOGDSMvL48b\nN25w5swZ2tvb0Wq1DB482CgCaLh78trU1IS9vT1paWmMGDECLy8vvv/+e4qLi4mOjiY2Nha9Xs+i\nRYvkNAjpIA4lysrKYu3atURERPDUU09hamqKv78/58+fJyMjA0tLS3bs2MFDDz2Et7c3/v7+1NXV\nyTnRSn89vn//fioqKoiPj6elpQUTExP8/Pw4cOAAfn5++Pr6cvDgQQ4cOEBhYSFjx46lb9++8htX\npdLpdDz33HPY29vj7OyMo6OjvGJra2uLubk5Fy5cYNSoUdjZ2ZGRkUGfPn3QarXY2NgQHh4u1/NW\nohs3bjB37lwqKyt56aWXePTRR/Hw8OD8+fOcPXsWW1tbtm7dSklJCX//+9/R6XSYmpoyefJkIiMj\niYuLU/w17EgaI0xMTAgODub06dNERkYyceJEzp07xzfffMNjjz1GWVkZaWlpjBs3rtvHiPsuiDY3\nN+fYsWMMHTqUMWPGUF1dzd/+9jf69+/Pjz/+SHZ2NqGhoSxZsoT09HQMBgOTJ08mJiZGMXnPkubm\nZg4fPszJkye5fv060dHRuLm5sXPnTsLCwuQgq62tjbVr15KZmckTTzzBpEmTjOrGkkgrOzU1NVhZ\nWeHu7s6+ffuoq6sjNzeX8+fPk5+fT01NDbNmzcLJyemO0kVK0t7eznvvvUdzczN9+/aVNw4aDAY8\nPT35/vvvmT59Ounp6bi6upKYmEh2djZNTU0EBARgY2PDP/7xD4YPH6749Abo+gqtpaUlPj4+RjXJ\nk0ipND4+PmzYsIGpU6fi5ubG119/LQ/6w4YN6+5m/tvuNXl955138Pf358yZM9ja2hIYGMiZM2e4\ndu0anp6e9O3blxMnTrBhwwba2tpITExUVNWizg4cOEB4eDiPP/44VlZWVFRUUF9fT3BwMCkpKZSW\nlrJt2zaqq6vJyspi3Lhx2NjYcO7cOXx8fOTDcpSqpaVFfjtnZWVFQ0MDZmZm1NTUkJ2dzQsvvMCg\nQYOwtrZm0aJFRnMybXNzMykpKezatYurV69y8+ZNxo0bR2FhoTzRKy8vJyMjgxMnTlBUVMTUqVMV\nP+mR3L59W66WNWrUKNrb2/Hw8ECv13P58mU5JgkNDeXkyZNyepiTk5PiU8M6k8aIPn36sGfPHrms\nZ0FBAXv37iU6OlpOD1u5cqVixoj7LohWqVT4+fnxwQcfUFxczBdffIGHhwdjx47FwcEBjUZDUVER\nH3/8Md7e3jz11FPd3eSfZWVlhYuLC7du3ZJfpTY3NxMQEIBGo8He3p6vvvqKhQsXMnDgQBITE+nf\nv393N/s/JgXCFy9eZM2aNZSXlzNz5kwSExOprKykqKiIfv368fbbb+Pk5KTY3fDw06vjV199lZyc\nHHmzh5mZGdu3b2f8+PHk5eXh5ORESUkJ6enpcl7pvHnzcHR0pKioiGvXrjF+/HjF1w+GnrtCey9q\ntZra2lrc3NwoKChAr9czZswYoqKi+N3vfmc0JaUkPzd5ra2tJS8vD5VKxebNm2lpaeH5559n4MCB\nWFpa4ubmRlRUFI899pjiP6PV1dWsWrWKmzdvsnbtWr755htOnz5Nbm4uzzzzDBcvXuTw4cOcO3eO\n2bNn4+XlhaWlJWZmZvTt2/ee1Y6UpLW1lUuXLgHQv39/OcDKzMxk5MiR+Pj4YG1trfhNg51ZWVnh\n5uZGa2srDz74IJmZmWRnZ1NUVERjYyO+vr5MmjSJpqYmbG1tWb58udEE0ADW1tbY2Nhw8OBBQkND\nsbOzQ61Wy0exz5o1i8GDB/Pdd99hbW3NG2+8YVT960gaIzw9PcnLy6Oqqopx48Zx6tQpJk2aRE1N\nDWq1mn79+jF06FDFjBGqdmmHx31m3bp17N27l7S0tLtWZYuLi3FwcFDs7v+O6uvr+fTTT6moqGDS\npEm88cYb9O3blwULFuDs7MzRo0eZOHGiXMqtJ2hqamLBggUsW7ZMLl8jbY555plneOeddxRf+sxg\nMLB//3727dvHrVu3mDFjBqNGjeLo0aPY2tpSV1fH+fPnef7559m1axfR0dEMGDDgjr9vLCkOEqmU\nW2lpKS+++CLvvvsu1dXVJCcnA/CnP/3JaAr+/5Lr16+zatUqVCoVOp2OZcuWodVqu7tZ/7WDBw+y\natUqRowYwYQJE4iNjeXFF19kwIABhISEyKvrUuUOJU5ef0l2djaNjY2o1WpiYmIAmDp1Klu3bkWj\n0VBcXGw0ZcHuJTU1lczMTKKjo/H19WXbtm00NTXx5z//2SjeZv2c+vp6Pv74Y+zt7Zk9ezZXrlxh\n06ZNpKWl8eCDD7J69WqjyQm+l1u3brFlyxbUajXPPfec/Ofz5s3j9ddfx93d/Y4yjMZMGiPKysr4\n4x//yIYNG9izZw/5+fn06tWLV199VXFx2X23Ei0JCAjg1KlT8mlLLS0t8mZBR0dHowk6LSwsMDU1\nJScnhzFjxuDj48PBgwdRq9VER0cTHBxsdK91fo1Op+Pbb78lJiYGjUYjp2zY2dnRu3dv/P39FZ+u\nolKpsLe3p6amBhsbG7y8vFi/fj329vY88MAD9OnTh4sXLxIeHk50dDR9+vSRT0szxgAFet4K7c+x\nsbEhODgYS0tLlixZIp8Kauy8vLw4fvw4ixcvlsu5hYeHExERIe87kAZzY/x8urq6YmlpKZff27p1\nKyqVijFjxmBpaSmv8CnttMF/l7QB9NKlSxw6dIiYmBgWLVqEnZ1ddzftv2JhYYFGoyEtLQ1XV1e0\nWi1jx44lKiqKIUOGKPLk4K4wNzdHo9Fw7NgxtFotDQ0NvPbaa7i6uhIXFyeX8+sJOo4R3333Haam\npjz55JNERUUxZcoURcZlxlfz5DfSu3dvJkyYwIoVK0hJSVH868ZfEhQUREhICBs3buStt94iJCSk\nxwzc9+Lu7o6lpSWmpqby7Fv6OTY2tjub1iUuLi6EhoaSmprKqFGjKC4uZufOnajVap5++mleeeUV\n+XullWdjDE4knVdoZ8yYAaDoXNn/lLe3N97e3t3djN9UbW0t9vb2aDQaOViWVoU6H3pkjBoaGvjk\nk0/Q6XRUV1ej1Wr5wx/+cNfAbcx9jIqKIioqSpH7RP4bQUFBhIaGkpSUxNq1awEIDg7u5lb9doKC\ngggODmbGjBkEBAQwZcoUHn744e5u1m+u4xhx/fp14uPjARS3+tzRfZvOAT9tSjhw4ABTpkwBlFfz\nuStKS0spLCzskTdWT3br1i0+/PBDzM3NWbhwIdnZ2QQFBclpDcaYtvFLysrKyM/PZ8KECUY9cb1f\nLVmyhMWLF+Ps7NzdTfk/UV9fT2FhITY2NoSGhgI97x7sqUpLS/n++++ZMGGCUY/lP+fatWscPXqU\n6dOn9+hnp7GNEfd1EC0Yt54yuOXl5XHkyBEWLlwopzT0lL4JgrGS0qfEfSgIws8RQbQgdLPOAXNP\ne9Uq9Cz3wwRP3IOCIPw7RBAtCApxPwQngiAIgtBTiCBaEARBEARBELpILHsJgiAIgiAIQheJIFoQ\nBEEQBEEQukgE0YIgCIIgCILQRSKIFgRBEARBEIQuum9PLBQEQTB2K1as4PTp07S2tlJWVoafnx/w\n08ET6enpPfZQFEEQBCUQ1TkEQRCMXEVFBbNmzeLIkSPd3RRBEIT7hliJFgRBMHKd10JiYmLYvn07\nOTk5ZGZmotPpuH79OgkJCVRWVnLy5EkcHBzYsmUL5ubm7N27l6SkJAwGAyEhISxfvtwojtwVBEHo\nTiInWhAEoQeSTtwrLCzko48+YufOnbz99ttERUWxb98+AI4dO0ZRURGfffYZycnJ7N27l169evHR\nRx91Z9MFQRCMgliJFgRB6IGk1emwsDCsra2xtrYGICIiAgAPDw/q6+vJir9nGwAAAPNJREFUycmh\nrKyMxx57DIDW1lZCQkK6p9GCIAhGRATRgiAIPVjntIzOR8sbDAbGjx/P0qVLAbh9+zZ6vf7/rX2C\nIAjGSqRzCIIg3MeGDx9ORkYGtbW1tLe389prr5GUlNTdzRIEQVA8sRItCILQA0g50NKvpR8/9z3S\n74OCgli4cCEJCQkYDAaCg4OZP3/+/0ubBUEQjJkocScIgiAIgiAIXSTSOQRBEARBEAShi0QQLQiC\nIAiCIAhdJIJoQRAEQRAEQegiEUQLgiAIgiAIQheJIFoQBEEQBEEQukgE0YIgCIIgCILQRSKIFgRB\nEARBEIQu+h8FIJHKPBPqeQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "p_acs = pd.DataFrame()\n", + "p_acs['sapm'] = pvlib.pvsystem.snlinverter(sapm_inverter, sapm_out.v_mp, sapm_out.p_mp)\n", + "p_acs['sd'] = pvlib.pvsystem.snlinverter(sapm_inverter, single_diode_out.v_mp, single_diode_out.p_mp)\n", + "\n", + "p_acs.plot()\n", + "plt.ylabel('AC Power (W)')" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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JFSXpOHyqA2XFGTh9uhPdvT7kZKRg37E21AzPQnZ6Ct78eC/au/rhDwTgcdpwsrkLZXmp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\nL/tbns8Mg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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "diff = p_acs['sapm'] - p_acs['sd']\n", + "diff.plot()\n", + "plt.ylabel('SAPM - SD Power (W)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot just a few days." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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9vodydq8oA2ysLyQ1VUQoEV6RMd9CiOx3fthIdu7JuJg1nyibTQZqfVKnLIS4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\nel49+Ab5MTl66VtOmtfrpbrrAJsbtrK3fR9evIRaHMT1F3C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    sapmsd
    count8760.0000004620.000000
    mean23.09207245.975969
    std42.33881350.010571
    min-0.020000-0.020000
    25%-0.0200008.625879
    50%-0.02000028.616357
    75%27.94616263.817331
    max211.292680213.052674
    \n", + "
    " + ], + "text/plain": [ + " sapm sd\n", + "count 8760.000000 4620.000000\n", + "mean 23.092072 45.975969\n", + "std 42.338813 50.010571\n", + "min -0.020000 -0.020000\n", + "25% -0.020000 8.625879\n", + "50% -0.020000 28.616357\n", + "75% 27.946162 63.817331\n", + "max 211.292680 213.052674" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p_acs.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "sapm 202286.553521\n", + "sd 212408.976960\n", + "dtype: float64" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p_acs.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jtheurer/anaconda/lib/python2.7/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", + " if self._edgecolors == str('face'):\n" + ] + }, + { + "data": { + "image/png": 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mrdhsthDvROTLUaU2eHpQTEREwsrx40eoay6hvr6ZlUt30FJaS9aOEiwdgdZt\nhiP5SaSOG0ifnvG0NTqIibAwd954TpZW06NHD/r1669AK3KNUaVWRETCyt4jHzHn0WkAuMvrOf/z\nFVhdPqB9sELgzqE0VdVzZk859827nl69EwCorW2isbmFi40X6JGYFLL1i0hoKNSKiEhYiYpt/19P\nRQMXfvPhJYE29anpRGelUPbudnr1iWfvzlKSUuIA2LPnFN/68a3sXbODSRNmhmr5Il+JT+0HQVOo\nFRGRkAoEAmzetgqX/yJel4na6ibcp+u58OsPCXQc2+W3mUnvCLQejxeL1crFRgf33Xc9ra0uKivO\nk5OfSVuLC7s9KsQ7EpFQUKgVEZGQ2rhlBenD/SQm98bn8/P6Mxs490wpdm97ycpjMbEjI4oDW4tJ\nPtGN4uLTRMVFU1PdwO9eXE1MVCxxiVYGDkll26qz3D7zkRDvSERCQaFWRESuOL/fj9nc/qzyhZZK\nRiZnt3/+7EUmV3mwdARan81My+2DGZQUg9flx+f3ExcfxX3fnIrX4+PNP2zhgXuf5HRFOfgCzL4l\nHZPJFKptiXxl/oD+/xsshVoREblinE4n7615HVu8H58zQHd7Xy40nSMQGIy38gL1v1yNpaOH1hRl\no+3ufKL6x1K8+QgRdjt33TeRxostAFhtFjIG9SIQCJCWmh7KbYlIGFCoFRGRK+ajLcsYNSMTi9UC\nwKpFG5lycwHr/7yRQVvOYHF6gfYKbfK/TOXwsTKmZ2cT3y0aT6uXLRuLiYqO6LyeyxnorPiKXA10\nTm3wFGpFROTKsfo6Ay1Ar/5JmKsdDNleTaAj0HosJvYN7Ub3k6cpKMjAZrNgt9twNrmJjLRz+GA1\nh/adpr6mjbReo0K1ExEJMwq1IiLS5WpqqtlRvIaz1ZX0Ph9NYkp3AoEA7tJztL2+C5vbD7SfctD3\nnydzpuIsJouJPv0Scbs87NhylDvuvJ5N607wyLyFOBzNFAyM14AFEemkUCsiIl3K7/ezec97TJg1\nhEBgAOtW7KbqTD2ZcTGM2F0NHYHWZzNTfVM6WHyk9EzgwP5T/M/vVnKh3kHR6MEse387OYNvwG63\nk5jYI8S7EukavlAvwMDUiCQiIl3q4sWLJPePBsBkMjF5ZiFJrWYGbyqHlvbRtz6bmb5Pz+C6B27g\nwMHTVJ1vov/AfqT2T+WpZ+9n8rQC/J44CkfdEMKdiEg4U6gVEZEuEwgEOF1xiqrT9Z2fc546T8HB\nKsxt7T0tL1FnAAAgAElEQVS0bjP0XjCdiIHJACT06Mb1U0fidFjJzpzJmmV1rF1+gckT5hEREfF3\n/xyRq4U/EB4fRqT2AxER6RKBQIB3lv+JgUWJ2BqtvP3HtaRGxpD60THsHbNATdE2Dg9JwN3WwlDA\n6XRz8vhZqqobKcq5jdTUdFJ1XJeIXAaFWhER+dpt37WB8nOH8VocVJY5sVjMzJiQj+vfVmH2tvfQ\nmqJtJP3LVLqdrmLDmn001jfR1NhK7/4peFpiGJKTH+JdiIiRKNSKiMjXxul08vqS32OJc9KjRzRj\nx49m9XsfU5STjuffP8Tc5gHaBysk/ctUbBlJOA6eZFThICbf1B5iV6/cS3bOraHchkjIaKJY8BRq\nRUTka/PO6jcYNTsXi9VCY30j2zYeYmRaH3y/XYulI9D6bGZ2ZkYRf/gULbuOUFVxnrt+elfnNWJj\nIzhydC99evcN1TZExID0oJiIiHwtAoEA5lh/53CFbj26QY2DwH9t6gy0gUgbx67rj31gL9IH9+X0\nyWp8Hhs7dxwHoKG+iXO1zZgs/pDtQ0SMSZVaERH5WphMJvzuzzw2XVlP5ofHsXb00HosJmpnZnPd\nrSNZu3QblWU1uNw+hg8dxfETVVxo3ktkdATx3ZLI7JUXol2IhJZRTx4IBwq1IiLytUntlsXW93eQ\nbIbBa45g7wi0RNmpnJTOqNtGcab8HKlpvcgryKCt1Ulrcx1TJj7A/sObcHsgvV8+/fvpxAMR+XIU\nakVEJChut5t31ywiEOHF54KhA/KpbDzI1NEZeJ5fhcnzaaANfG8CO1dspWbxRlLTUigcmw1A94RY\nGpxuevbszbSe94ZwNyLhwadKbdAUakVEJCgfrH+PjEn9sFrbv5Ws/PMS7psxCs//XYmptX1SmNsM\nlRNTcVSeJW94OuerG0jN6AlAc1MLXreHpB69Q7YHEbl6KNSKiMiXVn66lHONlaRZPw2k/SIj8Dy/\nElpcAAQirThm5XCi/CyDkvpQWVGLPTKCt/7nQ7IG9yOxRyyxUd3om1QYqm2IyFVEoVZERL6UE6Ul\nnGjYSXS8CY/bg81uw3SmgeFby6Cjh9YfYWVTWjTpcVYefnQycfHRAKxesY8R44dTtc+M1RNNTnY+\nyUk9Q7kdkbCiB8WCp1ArIiJfyvGKgwydlIbH04/Na/Zib2hj+NbyzofC/HYLO4ckUtXUhutQBVYg\noUcswwsySE1N4sSpc+TmTCctNSOk+xCRq4tCrYiIfCmBjlKSzWZlYu5AnL9ZjtXjA9oDbeVNA7Fa\nfaTUW+ndvwcF4/M4X93A6pX7aHE4sZkySRurQCvy96hSGzwNXxARkcvW1NTImTOnWfHWBlpKqnD/\n2wdYnV6g/Rxa83evpz4KBuf0IzYugskzR2IymejZpwdOb4CzNU6mTZod4l2IyNVIlVoREflCBw7t\npbr2DIdK9nDHd2/EefIc/HYNZld7oPXazOwfnszp9XuZPHUE1VX1tLV6L7mGzW4jqUcKNpstFFsQ\nkaucQq2IiPxdgUCAlRuWU153CneghTGTRjA0ZTDHVu4l88MS6Ai0/ggL5TcOJColjhy/F5/FSvG+\nMuJik9m5rYSicdnUnW/k4N4yZk19BJPJFOKdiYQvf0B/P4KlUCsiIn/X4mV/oUdhDwq6jyQQCLBt\n2Samjx5GYPkhcLf30HqsZkqK+kBSDA01F+g3IImBQ1I5uKeUXr37kdCnGx+tOUBMbDRDcvPJHpQb\n4l2JyNVKPbUiIvK/LH7/VY7VHCW2eywAJpOJ5IAFywsrsHUGWhMl1/WnpKkJk9mMx+XG1dY+dCEq\nIh6zK4aY2BiKJg6nX3of7L5uIduPiFz9VKkVEZFL7Nm/g7Ous3TvlYTf58dsMWM5W8+Ijcc7R9/6\nI6y4HxxN9fEKBo8YzIBB/cDnxWSGvduOkZ81ntyhI9mwdRVu33mi7d2ZOunmEO9MJPz5Qr0AA1Oo\nFRGRTn6/n8NHDxCdkkB6bhbbV+8g2Rdg+LqSznNoibJxcFRvdq38mOn3Tqb3gBR2b9hH93g75aXn\naGs0M/3xbwNw4w0KsiJyZSjUiogIAK2tLby+4nUi0mNpPV9H+ZEyRucOJvHFD7B0BFq3GcrGDSAm\nLZGpw/pQcfQUB7YcwB5pwW7rwR0PT+fInlPU1dWSlJQc4h2JGI/OqQ2eQq2IiACwYvNK0icPwWwx\n029IGqfe30T8om1YPJ9UaO3sz0ui2eyjV5uLgN+O0+2j/+BUGhsauX5aIQA2uxWfzx/CnYjItUgP\niomISDtzALOl/duCraqecTtOEdERaL02C4fGDaDPDUNJSe3NiZPnSBsxmKn33EhGzgAa61sAaGlq\no/aUl5SUlJBtQ0SuTarUiogIAGkpaRwvLadfVATJv/sAi9MDQCDSxpasboyeMYLtH+3jxOFy7npg\nIoe3H8JssWC3WejbI50j65qItEdz58wHdRatSJDUfhA8hVoREQFgVH4h5rV1RP51CRZ3e6D12iys\n7ROBOSWaDUs/ZtItY7BYLRzYUcrtD0wE2quzp/cEmHTDjBCuXkSudQq1IiLXKL/fj9n8aRdaU+lJ\n4pd9gL8j0HqsZjyPT6dl/XbuvHUMdruV9at24/H6cba4Wfb6x/Tqm4S/JZpbpt4Xqm2IiAAKtSIi\n15y9h/awu2wv2E3Q6CchKpZzR/czqaweu+fTSWHlM4aw88Nt3DV3PPHdYwCYetsY/vAfS3nguzez\nb/Npbrnh0VBuReSqozG5wVOoFRG5hng8brYc38bQmwoA8Hq8nP9wG1PPNmL6TKC1/fPNDM5IYaDX\nx551u5k8swgAs8VMWmZPIqMjsNpCtg0Rkf9FoVZE5Brh8bjZv38f0T3jOj8XVdvIiM0nMXWMvvXa\nLJRMzGJQz3iiAIvVQkV5HV6PD4vVzJr3tzNmYj4upxuvQ6lW5Oumw/CCp1ArInINOHaihEUfvU58\ncix1DS2kDRuIvbqBpJeWY+0ItIFIG0fHZ3KssZGh9vZvD2dOVeFq9LFz+TliYmNJisjm1B4HJp+N\nW6feH8otiYhcQqFWROQq5vP5WLHhA3Ye3U7GkH6MuG4YjfXN7HxlCTeXN3YGWn+kjXXp8fjw0trc\nwvLXP6JvWk/OVZxn0Mj++K1tZGeMY0D/tNBuSETkcyjUiohcxd764E16jOnDjUUzab7QyO6NByga\nOIAZ5Y3YPgm0disre1qp87twFJ/kiZ8/0vn+fR8fxmyzkVOQxcENexRqRbqYzqkNniaKiYhcxZwR\nbiKiIgCIS+hGREMbEf+xAntnD62Z3SNSGHHfeL71z/eQMbg/56vqgPYjvypKq8kpGEQgECAQ0Hdb\nEQlfqtSKiFzN3J8+dmKtqmf4hhJM3k9H33qfmIn57BnSsvq2v8Zm4UzZOTav3IPZZydv0hA8bg8H\n1p9gWtFdIdmCyLUkoCO9gqZQKyJyFSsaWMjHm3aSYPKSvWw3ER2B1h9h5dSMXBy1dcREt1dyj+47\nyenSKpob2xjUeySzb72bA8V7qNt9kVuvv5+4uLh/9EeJiISUQq2IyFUsNyef9Ig4Tj//K2yfnENr\nM7MxsxvOpotcPH6SPqk9OXGoHKfTxcy7xzMwuz/vvroJk8nE8PxRId6BiMjlUagVEblKBAIBduzZ\nTpuzjTEjxxAVFU1L2SmqXngem6d99G0gyo7vh9O5Li2ZD99cg8Vm40J9Ew3nL3L7nImdbQjdEqNC\nuRWRa5YeFAueQq2IyFUgEAjwP0v+RPSI3vh8fn75+1+SH9eL7J37OkffuszQcG8R3VKTOLT9MCn9\nU6gu8zAgoze5hTk0XWzpvJarUX19ImIsCrUiIleBI8cOYx2cgMVqoWr/YW6dUUj8iyswdwTaQJSd\n3Xk9qS4ppY/LSVy3GBwXXdz+0Ay8Hi9bVmyn7aKb85UOLL4I7p75zRDvSETky1GoFRG5Cni9Xiw2\nGyWb9jA4LpK4//wAc6u7/Ws2C54fTsd2robadbuJ6x5HTXk1sx6aBoDVZiVv3DAOrDzJg7c/Ecpt\niFzzNCY3eDqnVkTEwNraWnljxRL2VJxg35INZMVHk7f2KJaOQOuPtHH0pmxcfbrjaGjkwcfvILln\ndy7UXcTv//TbZ5ujjVG514VqGyIiX5lCrYiIQfn9fl5893Vqc3rjGDaAjJ7dGLH2MJZWFwAeq5kl\n3c2caGpk4zvruHFmESYT1JytY+DIIaxbtp2W5lZqKs9Td8TJqJFFId6RiPgD4fFhRGo/EBExqPr6\nOlp7diPBYia2pp7CXWWdPbT+SDubc/vgizQzYuIIfD4vxTuPc3J/Jek3DKP/wP54XB4OHS7FWerk\n2w98H5NJD4eJiHGpUisiYjBtba0cOnwYr9dLwNFKbE09Ra8uJeIzgfbYrSPxZw8AIDI6gqTeyRzc\nd4Z5s7+Ht7n9eC9bhI0evVIYkTtKgVZEDE+VWhERAzlVfor3D6wjKj0FZ/UF4o+eZNTKLdi9nxzb\nZWLX6AwCifGYXB6sVjNRsdF43B4iLJH06dOXweezObLxMGaLiSR7MkUTx4R4VyLyCb/G5AZNoVZE\nxEDWHdpG8qhBFC9bSy8/3FRWTaSv/YEvt8VM1YOTaKy/gLuiiobScuJ6dGPv2p2UHy3n5rGzARg1\nvIhRw9U/KyJXly5vPzhw4AAPPPAAAEeOHGH8+PE88MADPPDAA6xcuRKAxYsXc+edd3LvvfeyYcOG\nrl6SiIhxWczse/dDbhw3ghkl5zoDrT/STuk941i9eQcXq87TfL6BwQWDGDO1EJejjYJp19Hsagrx\n4kXki/jD5OOLvPLKK9x3333ceeedvPvuu5w+fZo5c+Zw//3388wzzxAItD9tdiUzXpdWan//+9+z\ndOlSYmJiADh8+DAPP/wwDz/8cOdramtree2111iyZAkul4s5c+Ywbtw47HZ7Vy5NRMQQnE4nL7/9\nB5wWH1EBGwOS+tLPYiH1Dys7TzlwW81c+M4MSk+dpn96XxITorhwsY0R44cDMPGO8WxesZNhPfJC\nuRURuUrs2LGDffv28dZbb9Ha2sof/vAHPvzwQ+bPn09hYSELFy5k7dq15OfnX9GM16WV2tTUVF58\n8cXOtH7o0CE2bNjAN77xDRYsWEBLSwvFxcUUFBRgs9mIjY0lNTWVY8eOdeWyREQMIRAI8NP/t5Cm\nOBO+WDt9bsrj8J6tTN5f2RlofZF2VmYmsbvsNOXFx/F4vMTExWC1X1qzCLR6mXT9TaHYhohcZbZu\n3crgwYP53ve+x3e/+11uvPFGDh8+TGFhIQDjx49n27ZtHDx48IpmvC6t1E6dOpUzZ850/j4/P597\n772XIUOG8PLLL/Piiy+Sk5NDXFxc52tiYmJwOBxduSwREUN476NlZN8+kdgeCbjb2jizbDO3VdR3\nthx4rBZWZyTiTYkl0Oak3+A0zhw5QUyUjbpTjbRc30JMXAznT59nRHqhTjgQMQAjnBHb0NBAdXU1\nr7zyCpWVlXz3u9/tLGBCe5Zrbm7G4XBc0Yx3RR8UmzJlSufmpkyZws9+9jMKCwtpaWnpfE1LSwvx\n8fFfeK3k5LgvfI2EB90r49C9Ch9er5fic6fIzGs/maBbYyuFe0qJ6DjlwG01s7x/HBkzx2C1WYlL\n7MaGN1aQNqg/Dhf88slfsGnHJhpcTWT0zGLcbZoWFkr6uyVXk4SEBDIzM7FaraSnpxMREcH58+c7\nv+5wOIiPjyc2NjaojBesKxpqH330URYsWEBeXh7btm1j2LBh5OXl8cILL+B2u3G5XJSWlpKVlfWF\n16qtbb4CK5avKjk5TvfKIHSvwstbK5fg7PgvdNS5erL/exk2jxdobzn4a4IVd8/u7Fu3m/juMTib\nWoiONFPf0MatY6fgdpsZM2Ji5/V0b0NHf7eMQz98XJ6RI0fy6quv8vDDD1NTU4PT6WTMmDHs3LmT\noqIiNm3axNixY4POeMG6IqH2k3/yevbZZ3n22WexWq2kpKTw3HPPERMTw7x585g7dy5+v5/58+fr\nITERueZd8LaRlJVO9fINzNhbis3VPjDBF2lnz035+M6UMXpUOhGRdjYs28kP7/8xcXFxxMV1XRVE\nRLqeEdoPJk6cyK5du7jrrrvw+/0sXLiQvn378vTTT+PxeMjMzGT69OmYTKbLznhut5vly5ezbt06\nTp8+jclkIjU1lcmTJzNz5kxsNtsXrssU+GwThIHop15jUIXCOHSvQs/lcvHayndosnipOH6SwvGj\nGP7qCmxt7Q+FuSxmVmUlU+1tZcZdN9A3rTcAbpeH87vamDpxZiiXL59Df7eMIxwqtd/duj7USwDg\n5esmXbE/a8OGDfzXf/0XBQUFFBYW0qdPH6xWK2fOnGHHjh3s3LmT733ve0yePPkfXkfDF0REwsTb\na5biL0ilm9XKEBsM/f172DrKNm6bhd03jcBk9TEqtRdb1h1gUM4FRowdgj3Chi+g0CRyNbgWJ4qV\nl5fz+uuv/69q7MCBA5k4cSJut5s33njjC6+jUCsiEiZazF6sViumY2WMfX8zER2B1mUxs3FUJg2u\nVkaNKyAqNor66jrMcfFUnDyLo66VooE3hnj1IiLBeeihh/7h1+12+yUzDj5Pl08UExGRf6yx8SIv\n/PG/OHmiFMfm3YxavJaIzzwUdviu8ZxsvEjf1J5ExUYB4Pf56JXRj4PrTjKy3wQG9E8L4Q5ERIJX\nUlLCrFmzKCoq4sknn7zk2K/Zs2df9nUUakVEQuj9NSv50e9+jemGYQy9roAbNx0g8jOBtvSRmbT0\nTSKjMJfKU2dxtrRRsuMQSX1TOFN8mrm3P0R6WmaIdyEiX5dQj8e93DG5X6dnnnmGf/3Xf2XVqlXY\n7XbmzZvXGWy/zKNfCrUiIiFy/NRJlh3bR3J2Bt0vNjPqz0uJ6DjlwGUxU3zHDZw1+ak4UEK/nAxs\nNisf/nkZ1SWV2C9Cbvch9O3TL8S7EBH5aj45EiwxMZFnnnmG0aNH89hjj+F2u7/UdRRqRURCZMPO\nrURafMRV1TDqz0uxtzkBcJpNlH/rFvaUllN97BSZI4dw6KNtJPdOxGyx0iejNwWZeQwfVhDiHYiI\nfHXR0dFs3LgRv7+9RvyTn/yElJQUHn/8cdra2i77Ogq1IiJXWM35c/xu8R85Wn+anOQEZh8+fUmg\n/WvPaM5HR1J4+030G5bF/tVbwevmdEk5o6cVMWxCPvtPHQzxLkSkK/gD4fFxJf3sZz/jlVdeYenS\npUD7fIPf/OY39O/fnzNnzlz2dXT6gYjIFeRwNPPLv7zE0Fk3MeZiCkP+8B4R7vYeWqfZxOZhvZj+\n6M3s2rCfsl3NtLW6sJtMmE0mModm0Cejb4h3ICLy9crMzORPf/rTJYMZrFYrCxYs4LHHHrvs6yjU\niohcIT6fj6d+929E5aTTsHEPY3Yc6TzlwBthY2NBJq29EzlbVk3RpBHUV9ezdvU+IuwxdHNFkZDY\nnUAgwJlDlYzJHBHi3YhIV7gWz6l1u918//vf56677iI9PZ1BgwZ1fi0xMfGyr6P2AxGRK2Tlpo/o\nP+smBvXqxS17jneecuA0wdoRGaTMvJ6MwlwqTlYBcLH2AkOuH0HeHROxDeqFucJMy84mxvUdR1FB\nUSi3IiLytXn88cc5ffo0y5cvJy0tLejrKNSKiHQhh8PB/kMHqKurxeF2ktDUQtGrn3kozARLM1Po\nNWsiZosFv89P84UmSg+eZNf6vST0TgEgOTsVtznA9BtnkqozaUXkKvLiiy/Sv39/kpOTOX78eNDX\nUfuBiEgXOX7qBG/t34I5rQ9Nm3ZjO3yMe6sbsHf00LosZpakp1BrCxBz5CTR3eI4tPZjCscN5sTB\nMizRn86h93m82LCEaisicoVc6Ye0wkEgEOBHP/oReXl5X+k6CrUiIl3kw+JdxI4cCkBPr4+iNR9/\n2nJgNrFi6AAazH7GTBnN8V0HuXjWTEr/FLYu2851heOJ7RfLmX3HscVG4K9o4luzHwrhbkREukYg\nEGDp0qV0796duLg4EhISgrqOQq2ISBfxdjzvEVdTx9jXlmLvCLRum5WDd02i37BMqhYto66iilEz\nbqCp9gLlxSUMTB/EvNnfAKCpqYm2tjZSxqRgMl17D5CIXGuu9DSvcPDqq6+yd+9ezp49y4IFCxRq\nRUTCTcu5GmKKvYz9cFtnD63bbuO9tJ601dbiW3OOqJhImusucmzbfqLio2k618BDs7/TeY34+Hji\n4+NDtQURkS6Xl5fH2rVr8Xq9neNxg6FQKyLyNTl28jjlZ88wclgeST2SsDRd5MYDR7C720ffuu02\n3ugeQfWFWvokReFqacUSG4s9KhJnaxs1JRV8d/Yj9O+fGuKdiIhcOcOHD2f27NnMmjULqzX4aKpQ\nKyLyNXh//Wp200pEn56sXP02WfUtzDhZSaSv/R8TPRF2lg/pT86sCQx0Oqk7fopRRRPZ+voH3DRi\nChE2O4NuH0xERESIdyIioXQtPihmt9u55557ADh27BhNTU2XfL2wsPCyrvO5ofaBBx743DeZTCZe\nffXVy/oDRESudoFAgJ21Z4gd1f7kblZGGtdv/itRHYHWaTaxYlBvkqaOwWq3YbXbqDtzHp9nPz4C\nZKZmkJBw+QeMi4hcjZ544gmOHDlCSkrKJZ9/7bXXLuv9nxtqf/CDH1zye5PJRCAQ6Py1iIi0a25u\noqG5iVgg/nwd4994v3NSmNNsYsWQfjTERzKgWywAjoaLxKckkjWugIzCPP66fhmP3vFgCHcgIhJ6\nJSUlrFixAosluOMLPzfUjh49uvPXu3fv5sSJE9xxxx0UFxdfdhlYRORqV1Z5mt+ufg+X30fEiTLG\nL19HRMdDYS6blR23XE+P4dnUrl7P0XUf01x/EWdTMzd+824ALDYrrXZfKLcgImHkWhyT+4n8/HzK\ny8vJzMwM6v1f2FP7pz/9ibVr13L+/HmmTZvG008/zV133cWjjz4a1B8oInI12H1oPx8W7+VI2QkS\n83PJS0hg0utLiPC0PxTmNJt5LSGKQcOzAYju3o1h4/LZv2oTiT2TLvkXL6vv2v0mJiLyiTFjxnDr\nrbeSnJzcWa01mUysXbv2st7/haH23Xff5e233+aee+4hMTGRd955h7vvvluhVkSuWaXlp3jzRDHd\ni/IYXJSHZ8MWJq1YT1RnoDXx1/SeePokAe09t16nk0Prt9PW5CBrdD4HP9pGdLc4Ip0wLW98KLcj\nImHkWjyn9hO//e1v+fOf/0zv3r2Dev8XhlqLxYLdbu/8fWRk5Fc6bkFExOh2HjpA99whAHQ7X8ek\nAyVEdBzb1WYy8Zfu0TR2j6W17DSntthwnK8jvkc8PQelY4+MIC4pgdybxlG17gCP3/MdPacgIgIk\nJiYycuRIzGZzUO//wnRaWFjIr3/9a1pbW/noo49YtGjRJf22IiLXEr/fz8adH9M9MYI+mJn05nud\nPbROs4m3e8Th6ZVMlMlMZLdEao8cZ9wDt+F1e9j19iqy0wZRs/MYVg/cNf4WBVoRkQ6DBw/m3nvv\nZdy4cdhsts7P/+3hBZ/nC0PtT37yExYvXkx2djbvvfceEyZM4L777gt+xSIiBrZo5VJaU/tjX7WO\nCbUXO085cFkt/CUlDvIGYSdA5tiRBAIBypZtpPvRZlqcbfz2x78i5v9n777D2yrPPo5/zzmSLO8R\n75k97OwJWYSEEQiFEFYYAQp9oSWMljIaOoEsCJRZoC3QwQqjIQ2UnRCyIHvHTrwt2/GIt7Wlc94/\nnNikFOxM2fH9uS5d2LLOo+dGl5SfHz8jNCzAFQghOrPuuE/tEcnJySQnJx/3L/vfG2rLy8tbv548\neTKTJ7fN+aqqqiI5Ofm4nlAIIbqqV1e8x+bGQyS7ncyuqifY1xJonYrCp2MG0evCSQCU7tiDq8mO\nNTwUU0oMh1xN3HbVzQHsuRBCdF733HMP55xzDtdcc8139qg9Ft8bam+77TYURcFut1NRUUG/fv3Q\nNI0DBw7Qu3dvVqxYcdxPKoQQXYXP56OysoJ9eQfITYqif48wpi1djtXXNkL7TlIUaRdMbL3GGhGO\nx+HAGh6Ku9lBQ5iGYRgy1UAI0S6jG27pNW/ePNasWcP8+fOpra1l1KhRTJo0iZEjRx7T/NrvDbUf\nfvghAHfddRdPP/00Q4e2nJSzf/9+nn766RPsvhBCdH6V1VU888kH1MXG4CwvJ7rqINPKqrG63EBL\noN1982XEWM1kf7qazOnnYug6hRu306NnKkWbd5ExpD9UNkigFUKI75GYmMjVV1/N1VdfjdfrZdu2\nbaxevZqnnnqKuLi4DufOdufUFhUVtQZaaJnEW1JScvw9F0KILmLp2tW4Rg4nRFFIDQllxubtR43Q\nbrz8XPypCYQaBrrPy67lHxOT2IOYlAQi0tOoKbShNDkZm5YV4EqEEKLzeu6555g4cSLDhg3DbDYz\nbty41k0JKioqOtxOu6E2OTmZp556ihkzZqDrOu+///5xn/QghBBdiVdVUBSFmOpDXPLusm/NoYUP\nBqYTl9UPgPz1m8kYnknjwUoGjR/G+pf/TZo3hF9eeiNJiUlERUUHsgwhRBfSHReKeTwelixZQlFR\nESNGjGDChAlMnDiR9PR0EhMTO9yOYhjGD/7va2ho4Nlnn2XTpk0ATJgwgbvuuovQ0NATq+AEVVc3\nBfT5RcfExYXLa9VFyGv1XR+tW82Gg6Vc9dU6gl1tR9++GqrRY+b5NB6sAsPAUVfH8IvPJfuz1WhO\nH7+96V7Cw8NPad/k9eo65LXqOuLiTu37tiMu/2JtoLsAwPvnTTrtz+l2u9m5cydbt25ly5YtHDp0\niGHDhvHII4906Pp2R2ojIyO54447mDBhAn6/nxEjRgQ80AohxKny7QVd0zL6kPzPfxKst5zx4zaZ\n+M+wvgy68Gy+WfohkSlJOOsaCFFVspd9QZI1kp/e/BPCwmTbLiGEOFZBQUFEREQQEhJCZGQkNTU1\nNG0Q+xIAACAASURBVDQ0dPj6dkPt2rVreeihhxg2bBiGYfC73/2OBQsWMHXq1BPquBBCdCa6rrPk\njb+R7bTjcToY2GRndmUNIYcDrUtT2TpzEgnDBgAw+LzxeH0GpiALSeUurrvkykB2XwhxhuiOx+R+\n8MEHrFu3jk2bNpGamsr48eO5+eabGTJkyDEtsm031D711FO8+eabpKWlAWCz2Zg7d66EWiHEGeWR\nl56jduwoeoSEEFN9iBlvvQOH59B6LBbeSogkJjKM2MOPdzU5sMZEER7Xg5LivYHruBBCdHH3338/\nEyZM4Jlnnjlqc4Jj1W6o9fl8rYEWIC0tjXam4QohRJfy0ZdfsLu2mp6HA+23F4W5FIVlfZOJvuhc\nGssrqPh8PTEpCdQUlzFoQMui2SZ7cyC7L4Q4g3THhWIrVqxg3bp1PPPMM5SWljJmzBgmTJjA+PHj\niYyM7HA77YbapKQk/v73v3PllS1/WnvvvfdISUk5/p4LIUQn8un6Nfxz69doVivWvfu45NuLwixm\n/hEZTNoVFwPQo28v7LV1+IKCcdid6H6dQ0WlmJv9gSxBCCG6tP79+9O/f39uueUWXC4XmzdvZv36\n9Tz//POEhITw7rvvdqiddkPtggULePTRR3nppZcwDINx48Z1eBWaEEJ0ZvnFhby5fSNhGWmEHMjl\nyi9WEexvmdHmVBTeSImnOeHo7bgsIcEER0fhaGgmZ+MeTCYzPxp1diC6L4QQZ5Ti4mK2bt3Ktm3b\n2LVrFyEhIa371XZEu6E2NjaWZ5555oQ6KYQQndG7m9eTfP5UoqsOMX3NN1i/FWjfHzuUvIOVWOqb\nKd2+m9QRQ/A4HDQdrKS5ooqQuFishxqZPHgkk8dIqBVCnBx6Nzwm94477mDHjh1ER0dz9tlnM2XK\nFB544AEiIiKOqZ12Q+3HH3/MX/7yl6O2VFAUhZUrVx57r4UQopNwOh0U1B6ib9Uhpr/zPlZny5QD\nT5CFdwf0Rh0/DuW1N4jrlUzx5p1U7NmPo7aOsPhYEoYMJCFrEEk5B7lokiyaFUKIE3HRRRfx8MMP\nExcXd0LttBtqH3vsMZYsWUJSUtIJPZEQQnQGuw/sZ9mOrRSWFBIbZGH628uwutwAuDSNVVdfRm1d\nLa51G4hKTaL3pHGkjhpG+b5cMkcMxbb+axKyBuE6VEtaj/gAVyOEEF3fhg0bGDx48PeG2tzcXF55\n5RUWL178g+20G2rT09MZNWoUqqoeX0+FEKKTcDodvLx1I74hQ4iuOsiNObmtgdapKvx74hi8SQk0\n7dhB2rgR1O/bR/n23aSMHIrh96EoCiafgb7zAFlhPZg8TaYdCCFOru64T+0999zDwoULqaqqYvTo\n0SQkJKBpGuXl5WzatImEhATmzZvXbjvthtpbb72VOXPmMHbsWDRNa73/zjvvPLEKhBDiNHI6nbz6\n/nvk5R2gT1UlN+7dh/Xw3jnuIAtv9utFaV0dyocfoaFjz89jwJSzsW3bTW2hjaCYGAzDoF9kLHdf\ndkOAqxFCiDNHYmIizz77LMXFxXz55ZcUFhaiqippaWk88cQTpKend6iddkPtH//4RzIzM48KtEII\n0ZW4XC5++9br1I0YxZC4RK55dymhhwOtS9N4s19vfGeNxbI/h7iMJOwF+fSbPA7dr1OTW4gzv4zk\n/gMI23GAm8+/NMDVCCHOZN1xn9ojMjIyuPnmm4/7+nZDrd/vZ9GiRcf9BEIIEWifbVhL7bARJNTW\ncM2/l7UefetU4OOLp6ENHIDhcmE/WIHW3IjZ6aBm2z7CnTp/uud3hISEBrgCIYQQ7Wk31E6ZMoXX\nXnuNyZMnYzabW+9PTk4+pR0TQogT5fF4WPn1OrLz8ohLz+CaD1cQcvhgBaem8v6oIezbuxdzSQk+\nhwOLSaXfBeeQt/xTeqkR3Dj7igBXIIQQoqPaDbUfffQRAH/729+Oun/VqlWnpkdCCHESOJ1O/m/J\nIuxJKaSazPz4X+8ScviIb6eq8taIoVSbFLKuvhyv3YG7uRlncRH5q9bg0L3sT4xk1TfrmHrWxABX\nIoToTrrjPrUnS7uhVsKrEKKr8Xg8XPf7hwifeRX9HXZm/+sdQlsDrcIbWQNpio8mMjKCsm824a6r\nx2zWiO2TQczY4ez/dDWW6CjK88oDXIkQQpz5Bg4c+L0/UxSF7OzsDrXTbqgVQoiuJLcgj7v//CIh\nQ0aQ5LBz7fJ/EeL1AuAwDF7QVIIH9iKxTy8AzGGh5Lz1NpN+fjsAPpcbj8OFq7yCfkmpAatDCNE9\ndceFYjk5OSelHQm1Qogzxq79Ocz7x8tEnH8JPXJ2c+3GDa1zaB2KwrvjRtHQ2EDFF6txVh9CUVWa\nDx7EGhHOnvc+IDw1meaqGsx+nUlKKOOGjQxwRUII0X0cOnSIDz74AIfDgWEY6LpOaWkpjz/+eIeu\nl1ArhDhj/PXzT1DDw0lsbuTmPbsI8fmAljm0L0RHETFuNKk+H/nLluP3etBMJiIS4ggfPoS6omJc\ne/L48cUzmTx+UoArEUKI7ufOO+8kIyODHTt2cN5557F+/XomT57c4evbDbX5+fm89dZbranZ7/dT\nVlbGG2+8cUIdF0KIk+n5N/9JodNNKgo3f7yCUL8fAAfw16REmlISibZYcDQ0gqria2wkKD4Oa0Q4\n0b3SCQoPJdESKYFWCBFQ3XH6wRF1dXUsXbqUxYsXc/755/PTn/6Uu+++u8PXt3v27S9+8QsiIiLI\nzs5m0KBB1NTUHFNqFkKIU+0v/17G15HRZGYN5vai4qMC7csZ6aizZuKpq6O5rJyKr78Bvw+/10d8\n1gDiBvVveWxxGbMvnhnAKoQQonuLiooCoFevXuzfv5/w8HDq6uo6fH27I7WGYXD33Xfj9XrJzMxk\n9uzZ3Hrrrdx+++3H32shhDhJiouLWOd2kx4WzjXv/4uQw4HWqar8JSmJyrBQrNu24ayuJm/ZclKn\nnUts5iAMw6D46w1EmjUig4K5pOcgevToEeBqhBCi+zrrrLO4++67efDBB7nlllvYu3cvFoulw9e3\nG2qDg4PxeDz07NmTvXv3Mnr06GNKzUIIcao8/OKfWF9aSnpIKNesXk2Ixw0cnkObnEJDcjw9J07A\n73bja6hDB0Li4oCWbWJix53FKFsVs6dfEsAqhBCijdGNpx/84he/oKSkhJSUFJ588km2bNnC3Llz\nO3x9u6H20ksv5fbbb+fJJ5/k6quvZs2aNcTHx59Qp4UQ4kR4vV7uXvQIReHRZJ1zHjeteLct0Goa\nL/XpR/7BUhLSk6jdswd3bS2WkGC8jQ0c2ruP2MxBmIKthGfnctlVNwS4GiGEEEcUFhby5ptvomka\nEyZMICEhocPXthtqb7jhBmbOnElYWBivvfYae/bsYcKECSfUYSGEOF6GYfB/SxZja2hkyJhJLYH2\nyLZdwF8zMqiOjiAufgjOioMYXi94XCSOHUn1zt34FIXaA3lcHBPP1dfehNnc8T9tCSHEqdadR2qf\neuopNm/ezEUXXYSu6zzzzDPs3r27w1NevzfULl26lNmzZ/P8889/52f79+/nzjvvPP5eCyHEcSqx\nlVAbHEx6cCg3ffCvthFas4VnVQXf4CwSevemdutmwpKT0TSVhNFD0f0+dK+H2H590Xbu5/qfyGeY\nEEJ0JqtWrWLZsmWYzWYAZs+ezaxZs0481B5hGAaKonznv0IIEQiqqhJbWcldTY2EHgm0JhPPWK1o\nN95M046tBCcn05SbS2h8LM6yUrxVB9EsJnpfeB6NhcXcM3tOgKsQQgjx38LCwnA4HERGRgItU83C\nw8M7fP33htrZs2cDcNddd51gF4UQ4sQ5nQ7eWvk55voG7qmtIVjXW+43m3ll5Giaw8OJUlUsMbFU\nfPhvsi69kIodu4mYeh7+ilLSx4/Fa7fTs95JWlp6gKsRQoj/rTtOP3j00UcBsFgsXH755VxwwQWo\nqsqXX35Jr169OtzO94baESNGAC0jtS6Xi7CwMDRNo6GhgdjYWNatW3eCJQghRMe89tF/+OfKL0iN\nT+SuggNtgVbT+EuvPuQVFRCZNRgAX2UZw6+ZiWo20evciez451J0HfQDhVw/fQbnXXWD/LVJCCE6\nkaysLBRFISsrC6D1M7pv377H9Hn9vaF2+/btAMybN48pU6Zw4YUXArB27Vo++OCD4+64EEIci4/W\nruWVLz5n4KgJ3L5hZevBCi6zmX/NvAJvYiLhWzahezzYlr5OZGw4itZyrozh89PDbOXXN95Kr4xe\nEmaFEJ2e0Q2HamfNmtX69f79+9m0aRN+v59x48YxaNCgDrfT7oli+/btaw20AJMmTSInJ+cYuyuE\nEMdn6brVDMxIbwm07pZdDpxmC69mDaEiMbHlQaqKpUcsEfExJE85l5L1G/E028n/aj2pAwbSu2dv\nCbRCCNHJLV++nLlz51JaWkpZWRlz587l3Xff7fD17S4UCw0N5Z133mHGjBkYhsGyZcuIiYk5oU4L\nIUR71mz6mnf+8x9Up4vbS0oI9XoBcFqCeKHvQCq8bhIAZ2UFqCr1m78heXgW5tBQmmobMPJtRGT0\nZly4fF4JIURX8Oqrr/Luu+8SHR0NwM9+9jPmzJnDVVdd1aHr2w21S5Ys4dFHH2XRokUoisKECRNY\nsmTJifVaCCF+wC+eXML2mnp6RkRyd0UFoX4f0DKH9k9xCdj7ZmBtaKDwtb9hsloxhYZgDQsmJDYW\nR2UVNDUTf7CKK6dMY8zgYQGuRgghOq4bzj5oZRhGa6AFiImJQVXbnVTQqt1Qm5KSwksvvXR8vRNC\niGO08NW/stVWxsDho/nZ5nWtgdahqvwlOYXmwZlE9uqFt7GRxtwDpF9yCTUbv8ZZZqNi82bS/PDm\nrx9t3edQCCFE19C/f38WLFjAlVdeiWEYvPfeewwcOLDD17cbatesWcPTTz9NQ0ND6+RlRVFYuXLl\n8fdaCCH+hzWbN7FODaFXQlJLoP3WHNpnwyModbvo3a8/AA052cT1Sqdm9RfETZxEc1QkzspKLhgz\nXgKtEEJ0QfPnz+e5557joYcewjAMxo0bx+9///sOX99uqJ0/fz7z5s075m0VhBDiWK3LyycjNoH/\n+2Y1ob62ObQvDhpKSVEuMZlZVK9fh6euDlwOYs8ahWIx462vxxIWii+viQvPnRrgKoQQ4vgZeqB7\nEDjBwcE88MADx319u6E2JiaGc88997ifQAghOirR7eKide+1BlqHqvJcXBKF+TnEjhpF9JChOMpL\nsRcWEBQRTtnmHfgddqISE0kPj+DBe+cFuAIhhBDH6oemGCiKQnZ2dofaaTfUjho1ikWLFjFp0iSC\ngoJa7x8zZkyHnkAIIdqzIzubnVu3MHbjBiyHdzlwaCb+3LMXysUz6OnzUfXFZ/h9flylxfQYPgxV\nUfE01BNjd/HM3F9gsVgCXIUQQpy47rhQ7GRtFdtuqN21axfQsl/tt7322msnpQNCiO6rrOIgC//5\ndxxuP3eVFmE5ssuBqvLnlFRq+/UjHFBNJvz2ZtwVfsxBQXjrGwhOiEMpKmbBg7+RQCuEEF1cbW0t\nDoeD1NRUXn31VRwOB5qmceutt3b4M77dUCvhVQhxKlTX1DD3hRfoEZ/E3cW72rbtMpn45znTcA7M\nxL11I6E+H86SIhTdS1hUHIqh49e9WPdm87eFTxzTdi9CCCE6n23btnHPPfcwb948UlNTWbp0KZde\neilbtmzBYrFw6623dqiddkPtli1bePnll3E6nei6jq7rHDx4kFWrVp1wEUKI7skwDOb9+SVCmpq5\ns2ZX2y4HJjPPpWbgSknFBGjBIVR8/CFaSAghMbGE9RuAs6yM4LIynnng1xJohRBnHL0bTj944okn\neO655xg+fDgAISEh3HnnndTU1PCTn/ykw6G23X8Rfv3rX3Peeefh9/u54YYbyMjI4Kabbjqx3gsh\nurXtu3fSXFbOfY6mtkBrCeLFwSMpcNpxVVZiGAbe2kMkXXIZ4bGxXJc1hKFOFxMjY3jqzl9gtQYH\nuAohhBAnQ21tbWugBRgwYAAAPXr0QNc7vh1EuyO1VquVK6+8krKyMiIiIpg/fz433HCDBFshxHHx\n+Xy88teXecDrIkz3Ay1TDl4YNIycojySLr2cujUrady+GXNyKlWbNjPY0Jl14cUB7rkQQohTwe/3\nH/X9Y489BrT8Ve+/f/ZD2h2ptVqt1NfX06tXL3bu3ImiKNTW1h5jd4UQ3Z3f7+ePby3llvvv51af\ntzXQOlSNF0adQ05lBWG9e6OFhqEYBoSEEjRqMqHRCcwcPz7AvRdCiNPDMDrH7XTKzMxk2bJl37l/\n+fLlZGZmdriddkdqb775Zn7+85/z/PPPc8UVV7BixQqysrKOrbdCiG6tvqGe3738KnV+lV84mgg7\nsijMHMSLY85h75b1WCJDCU7vSc0nH6A3NzKl7wBCKgsZP6gPYwcPCXAFQgghTpX77ruP6667jrVr\n1zJ69GigZfHYtm3bWLp0aYfbUQyj/Tyu6zqqquJwOCgqKmLgwIEBX6BRXd0U0OcXHRMXFy6vVRdx\nql6ryqoK7nj+JYJcHu5rqDoq0P75/FnkFB5AL9hDzKgxNGbvITgujsTJ51C//H3eXfzkSe/PmULe\nW12HvFZdR1xceKC7wNh31wW6CwBsumriaX2+uro63n77bXbu3AnAkCFDuPbaa4mOju5wGz84Urtq\n1Sr69u1Leno6n3/+Oe+99x6ZmZn0798/4KFWCNH5OZ0O7nrln0QPPZs7Vr3fGmgdqsZzvQZRkLML\nmutJveZ6LBERRI0cTf3WTShmM26rNcC9F0IIcbpER0fz05/+9ITa+N5k+sorr/D888/jdrvJycnh\nvvvu47zzzsNut7dO4BVCiB+y/KuviBgwnDu+fJ8wT8suBw4UnoqKpVgziJ4wiZgZs2jOPUDdlk3U\nb9+Ct7mZ8k8+Jlh2NxBCCHEMvnekdvny5bz99tuEhITwxBNPMG3aNK666ioMw+Ciiy46nX0UQnQx\nXq+X1z/5lH1bNnNH5UHCfB4AnGYLz/p8NE2/lOiwlj/zuctKaN69g543/hhV02jKO0D9/jzmjB4V\nyBKEECIguuMxuT+kqamJ8PCOTQv53pFaVVUJCQkBYOPGjUyc2DK3QlEUFEU5Cd0UQpyp/vDPN1hr\nV7m2uvKoQPtkcDieG27Ek70dx76dNG/fiHGwhKTLr6Ypu+Uo7vC+/TGHhjBikCxIFUKI7mrHjh3M\nmzePyZMnd/ia7x2p1TSNhoYGnE4n2dnZraG2vLwck6ndTROEEN3UC2+8ia3Ozs+3rmibcqCo/KlP\nJodCg0iMjCJ+wkT8Lhee2hp0nw9zRCROT0v4NXQdpaqCpKTkQJYhhBABYXTHI8UOa25uZsWKFbz9\n9tvk5uZy2WWXHdPuB9+bTm+77TYuv/xyvF4vV155JfHx8Xz88cf88Y9/ZO7cuSel80KIM8uzb7/N\nDo/Kz3O3ty0KM1v4Y0gkpS4XSn01zrJSglNS0axWXGWlhA0Zjr2oAPehapoL8mnYvYvbzp0qi1GF\nEKKb2Lt3L0uXLuWTTz5h8ODBXH/99bzwwgssWrTomNr53lA7ffp0RowYQV1dHQMHDgQgODiY+fPn\nM27cuBPrvRDijLN5z2527s/nzsqStkBrMvN0QjolHieWyEhixo7GU3UQV8VBXBXlKEHB2P/zb3ST\nGTUsguY9e/np5ClcNuXcAFcjhBDidLniiiuYPn06y5cvJyUlBYCXXnrpmNv5wXkECQkJJCQktH4/\nZcqUY34CIcSZzTAM7nriSWodPn5Zlt92UpjJzNMxiTRMm06MZqJh9Sc4bSVEjzy8AGz7FkL79sf2\n9psk3PATTFXlXBkRJoFWCNGtdceFYi+++CLLli1j5syZTJw4kRkzZtCBYxS+QybHCiFOyLIvPqc5\nrjf3bfrsqED7XJ8sqjN6YTVbANDdLixRUa3X+ezNHPpqJcGJqdzkbqDf4Ez69+kTkBqEEEIEzrnn\nnsu5555LbW0tH3zwAc899xyVlZU8/PDDXHfddfTr169D7UioFUIct4qqKj79ci1311e3LQozWVii\nmimvqyZ6whQA7Nm7MNwOXJUVeGoP4SjMR9fMBA0aykSfgxlTpgawCiGEEJ1BTEwMN910EzfddBP7\n9u1j2bJlzJkzh2+++aZD10uoFUIcl6Wff8Fn32xlbnUZYYYOtCwKezojk6LyYsJSM6j7dDmKyYy/\nsZ6Ey67AFByCs7gA//4chvftydnx0Vw57aoAVyKEEJ1Hd5x+cER5eTn79rVs7zh48GB+85vf8MAD\nD3T4egm1Qohjlp2Xyxd5B7nzYGFboFU1nk7tT3lGHyzOJsJGntX6eO+hKg79Zxmh/Qbiraok+vyL\nSXI0cdV55weqBCGEEJ2Eruv89re/5cMPP6Rv3754vV5sNhszZszgkUce6XA7smeOEOKY7f7qK+7Y\nubZtyoGq8ZcLr+bQxPMx9YhHryjF19TY+nhvZSmqZkL3eAnOGoYpMoZwVQ5xEUKI/6YbnePWETU1\nNZxzzjkUFhayb98+Jk2axJw5c5gzZw4ff/wxAO+88w5XXHEF11xzDatXr/6f7bz00ks0Njaydu1a\n/vWvf7FixQpWrlxJbW3tMe2CICO1Qohj8pe/vsLorRsJ83mBw/vQpvbHlp+NWlqEp/gA4Rf8iMav\nPiEoMQVFUwmO64HF5yXOGoSroZ6eNZXcPPvaAFcihBDieHm9Xn73u98RHByMYRjs3buXW265hR//\n+Metj6murua1115j2bJluN1urr32WsaPH4/FYjmqrY8//pilS5cSGhrael9MTAxLlizhqquu4o47\n7uhQnyTUCiE6ZNknH/POp19yv72WMP3IPrQWHvOr1KSkE9FnAABOswlrchrW5DQav/qU0KQEGrdv\n5dErruCs0ePweDwEBQUFshQhhBAn6PHHH+faa6/lz3/+M9BygEJhYSErV64kIyODhx56iF27djFy\n5EjMZjNms5mMjAz279/PkCFDjmrLMIyjAu0RoaGhaJrW4T7J9AMhRLv25eXx9upveMDdSPiRQKtq\nPDt5FrbEdBS15UPHMAyMwyO4AFpUD7TUvgyOi+PsMWehKIoEWiGE+AGG0TluP2TZsmXExMQwceLE\n1vuGDh3Kgw8+yOuvv05aWhrPP/88drud8PDw1seEhobS3Nz8nfY0TcNms33nfpvN9p1R3R8ioVYI\n0a5PP1vFA3VlbXNozRaeTMskr/ogQX0H0bTxSxz7dtC0+kOCUlIB8DXWo1fYGF6ay5N33RPI7gsh\nhDiJli1bxoYNG5gzZw45OTn86le/YvLkyWRmZgJw/vnnk52dTVhYGHa7vfU6u91ORETEd9q79dZb\nmTt3Lps3b8btdmO321m3bh233347t912W4f7JdMPhBA/aNMXn3PO9m+O2rbr2bMuIX/vFkIHZOEt\nOkDMhZfiyttHxNjx+CrKcO6uwlRXzT9u+z+Sk1MCXIEQQnQdXWFLr9dff7316zlz5vDwww8zd+5c\nfv3rXzN06FA2bNjA4MGDGTp0KE899RQejwe3201+fv7/PEjh0ksvxefz8eCDD1JeXg5Aeno6P//5\nz7nwwgs73C8JtUKI71Wxexemt986atuuPyb148DXnxHULxNP7l5MEWFY4hIwx8bTuPpTzGaNhPBw\nbp42VQKtEEJ0A4qi8PDDD/Pwww9jMpmIj4/nkUceITQ0lBtvvJHrrrsOXde59957v3c6waxZs5g1\naxa1tbVAy0KxY+6HcTyH63YC1dVNge6C6IC4uHB5rbqI/36tXLYS9s9/mGD/4aNvFZVnUvtQltqT\noL6Z2Ld+g9ojHu/eTZjj4lFDwsHvZ4i3mSd/eX+gyug25L3Vdchr1XXExYW3/6BTbOhrawPdBQB2\nzZl02p6rsrKSRx99lKKiIkaOHMl99933P6cptEfm1AohvsNts1GyZHFboDVbeGHa1RRHJxDcfzCq\nqqJoKkZ1KbGzrsOa0QdFgbAx4ynIGstH6zrHh7IQQnQ1gV4g1pGFYifbvHnz6N27N/fffz8ej4dF\nixYdVzsy/UAI0crr9fL3v/2D0Vu+JlT/VqA9ZxbFPRKhsgQAw+vBV1ZI7KxrURQFa0Zv3LYiHHu2\nEzJ4BLZDxYEsQwghRBdSVVXFvffeC8D48eO57LLLjqudUz5Su3PnTubMmQNAcXEx1157Lddffz1/\n+MMfODLzoSOnTQghTr1X//Z3Rm3f0hZoFYVnR59PUXQ8jq8/x19/CPvOzdQufwNLaiqK0nIqmGEY\nqNYQAJSDNgYlJwesBiGEEF2L2Ww+6utj2cbr207pSO1f//pXVqxY0bqh7qJFi7j33nsZM2YMv//9\n71m5ciXDhg3r0GkTQohTK2fdesZu+eaoEdolyQMp9fkwcnbgb25Ei43F53ShxSfjLimkyWTBHJeA\nu7SY0KGj8ZUUcoVVYfKo0QGuRgghuqbD63K7lZO1vOuUhtqMjAyef/55HnjgAQD27dvHmDFjAJg8\neTLr169HVdUOnTYhhDh13njtdQatX0PYtwLtM+NnUZi3m+DYJLxFB9Bi4tCieuCrPghuJ5aUnijW\nYNxlJYSPnYTh8zJW83PdxTMCXI0QQoiuJC8vj6lTp7Z+X1VV1fq9oiisXLmyQ+2c0lB7wQUXUFpa\n2vr9t5N4aGgoTU1NNDc3d+i0CSHEyafrOpV7djNo3VeE+VtOArMrGk/E9aYgZxuWjL7odYcI6j8E\nb/F+dHsjQX0y0WvL8FdXEHHWZPxfr+a86mJ6hARz5fXXB7giIYTo2rroplQn5JNPPjkp7ZzWhWKq\n2jaFt7m5mYiIiA6fNvHfOsO2G6Jj5LXqnP7x4Wd8tHY7txzY2jZCa7Lw9NmXU7h1FdZ+AzFcTZgH\njMBfX4PPlkvwoBGYE1NoztmGFhwMQGyPaH576/VHvb/F6SHvra5DXishvl9qaupJaee0htpBfYtD\nAAAAIABJREFUgwaxadMmxo4dy5o1azj77LM7fNrEf5M9/7oG2Z+xc9q6Yzuvv/85v2woOyrQPnX2\n5eQ11GBOSkKxBGFOSMGzdzOewmyiZt2MoijoLgeq2YwpNIzg3H1c0a8PNTX2dp5RnGzy3uo65LXq\nOuSXj67ttITaIyukf/WrX/Hb3/4Wr9dLnz59mD59OoqidPi0CSHEifvHBx/yn11FPNhQRrjXDYBd\n1VjsU7EV7kFx27GOnYjXVog7ZydaWCQhoybg2rkRv8uBWlXKH669hp7x8cTE9Dhq+pAQQogT0w1n\nH5w0cqKYOKVkhKJz0XWd6x5awP0NZYR7XUDLCO2TZ11OgTUctWwfocPG4lj/MWETz6d5zSeETbkE\nRVFw5+7hLF8T8268gdDQsABXIuS91XXIa9V1dIaR2sxX1wS6CwDsu2VyoLtwzOTwBSG6iX25ucx/\n9kXud9UTfnjPGLuq8cezLqcwOhEF0I3D82I1C/YNK/GUFuJY/ymmqFisHjszL5gqgVYIIUSnJCs7\nhOgmHn/uRX7pbjwq0D6eOIDC6EQADF1H8Xvw19fgrSpDd9iJvvwmLL0HgaGjjTmHz3P2B7IEIYQ4\n4wX6eNxAHJN7sshIrRDdgL2wgLucbSO0DpOFx6IyKEnPxL/naxRNw2/LxZqaimPrGkxR0URM/RGK\noqCFR+J2OfE31qN10Q86IYQQZz4ZqRXiDOeylZC/eOFRgXbJ2MvJNwejl2Sj+r1o3maipl2EOTYB\n/D7MsQmtCzwBFKuViAM7uPrssYEqQwghugXd6By3rkhGaoU4QzU0NvDB0ncYtGkD4bR8Qtk1M0+M\nvZx8SwhGXRWmUZPxF+/DmpGBOToWc3QsqskEXheu3L1Y+2Vh+LwkFWXzzB23ExUVHeCqhBBCiP9N\nQq0QZ6CauloeefYv3Gg7cFSgXRyVTlFVKf7KYggJQ4tNwnA04j1oI6hnfwA8pUUMjQomr8mBvzCH\nKf17c+/9v8RsNgeyJCGEEOIHSagV4gz0+NMvcOPBIsI5vCjMZOHxUTMpKC8kaNBoUBTUIyHVZMHf\nUI9z92Z8lWVkmBWev+t+DMM4agqCEEKIU6+rLtLqDGROrRBnmPyN33B1RTHhug9oC7T5kfHodZX4\nm5vQywuw9BuK4XGj2/YTdt7laInpJPrdvPyrBwAk0AohhOhSZKRWiDOIy1ZC48t/Jvzwr/p21cTi\nHv3Jr6mE4v1oo87Du/pdtOgY3KvewZycjuKox7VnM5rTzi9mX43Vag1wFUII0X0dXtMrjoOEWiHO\nEG6bjYJFCwg9EmhNFh4bNZO8miqUkDBMfYejN9YQPHIC5p4D0RtqUZsPoWka5qpSHrrqEsYPHx7g\nKoQQQojjI9MPhDgD2AsLsD2xGJPH3fK9ZmGhP4gD279EqS5C1Uzo5fnoezegRse1XGQy4bc3YRh+\nElPSuPrCaQGsQAghhDgxMlIrRBf32j9eJ2vDV4T5vQDYFZXFpghscclYDFCHT0GvP4SiqqgDRqC7\n3ag+L+6Nn6NgEDptJvr2LwNchRBCCJCFYidCQq0QXZRhGCz7x9/J/ObrtkCLwqKe48g3WdEaKzAl\nZ6AXZ6P1zMTw+/Ft+gRd9+ABTDGxqMEhOL/6D7MvmBzYYoQQQogTJKFWiC7qqaee45x9O9q27VI0\nHh96IYWNDWBvRA+OwaitRFFUfBs/wnA0oA0aA2X5mKOjMDubCPW6uWrCGH507rkBrkYIIYQ4MRJq\nheiC3nvtdc7J2dUWaFFYMu5KCqMS0ZLA2LYS3RqGKSMTf0kuimIQlDUaz6EaLFljSWks5/EbZpKW\nnBzgSoQQQnybTD84fhJqhehiCrZspvfaLwnT/UDLLgeLQ5Mpjkpse5DFCgXb8CkucNpRVI2o0lzG\npiaQFunmggsuJCk+IUAVCCGEECefhFohupC8TRtpeuXlowLt46Nmkrt1Faa6StToBPTmevSKIoJH\nT8aS1g9D1xmev56nf35XgHsvhBCiPYYM1R43CbVCdBF7163D/fdXCOPwPrSamcdGXUYBKqZemRi5\n2/C6nRg+L4azGUtaPwAUVSUsLimQXRdCCCFOOQm1QnRyPp+Phx9dzMyyAsKPBFpgoTWe/B3r0O2N\nBE24CCXIin/3erTgUNSEJAzDQFEUlKZ6smIjA1uEEEIIcYpJqBWik3vwD4u49lDpUYvCFo+aSXGP\nNFSXE3K34yvIwTRgFOZ+w7FmjUZvqifoi7cYMWoMQ+IimX3B+QGuQgghREfI7IPjJ6FWiE7MbbNx\nXWUR4cbhObSKxqLo3hT1SANAtQajW4IgKAijsQZTeMuIbGhjNS/eeye90tMD1nchhBDidJJQK0Qn\n5bbZsD2xuC3QahYWJo8gv7HmqDeu4XZCWQ46fvyJGZgP5nPX9HMk0AohRBckI7XHT0KtEJ1Q8fZt\n1L34AiG6D2g5+nZh6hjy3C6MgwX4vv4AJS4N41AppqAggmfeiqKqeD57gy/+uAiz2RzgCoQQQojT\nS0KtEJ3M1lVfwpuvtc2hNVlYENGLgvieYA5C9XswXM2oHjtKaBimqBgUVcVwuwgOjwps54UQQogA\nkVArRCdSd2A/6tI3CD0SaDUzC+OHku9xo1QWoXidaMPPwcjbjmnAaAyvB+/ad1FDwtCrbAxNTZJR\nWiGE6MJ0PdA96Lok1ArRSbhtNqqee5rQI1MONAuLB19KXnUpeOrQRkxBURR0eyOKyQKAYraga0FE\nHTzAqD49ueuSCwNZghBCCBEwEmqF6ATcNhu2Jx9DcTqBtkCbqwZBXRlqWj+M/ZsxVBXdloP5vBsA\n0F0OTK5G3rj3fqKiZOqBEEKI7ktCrRABdiTQ6s3NANgNWGhNJL/0AHpjNWgqpl6DAfDnbETrNRjf\n6rchKBTD44JJs3l71Rpun3VpIMsQQghxMsjuB8dNQq0QAfS/Au2CyF4Uj/sRGqDqOvrX/8bI3dxy\nQXUpfpcD3efBNPJC1LCW0dkatz9AFQghhBCdg4RaIQJkx+rVaEvfJMjnAVpOClsw5EcUNNeiHX6M\noqoo1lAsWWMxdB1faS7XnXMW2w7Ws/9woA1qqGRkVmKAqhBCCHFS6TJUe7wk1AoRALvWrEV/6w1C\n/F4AHCgs6D+NwtgMjIN5GIbRsiisuR6jvgLPnm/A50U9awY1zUU8fsNl/PnTr3AYKmf3jWP6hLMD\nXJEQQggRWBJqhTjN3DYb6luvEXY40No1Cwsi+5OXvQnFFIbSdyz6vq/B0YhitqBEJWAadFbr9bvr\nNBLj43n4pmsCVYIQQgjR6UioFeI0OjKH1uI9POVAszDfmkxBcyPqoCnQWIdevBfF50TpkYBisaKX\n7j+qjRB0VFUNQO+FEEKccnJO7nGTUCvEafLfi8KcisrCkAwK7HbU0T9CUVWISQEU9IZitIHjUDQT\nalw67jXLMQ0aQ5T9EDefNTCwhQghhBCdkIRaIU6DvE2baH7lL4T4Dx+sYMACUxz5TU0ocRktgfaI\n0Cgo2YpRvBd6DkaJikM3W0nP28DLv3mAyEjZj1YIIYT4bxJqhTjF3DYbzS//mRC9ZdstOwoLkkZR\n1HssSu4WlIh4jLL9KCkDMHQdI+8bTNOuQzEM9N1rMQZPon+4mX88+HuCgoICXI0QQohTSZHdD46b\nhFohTqEjUw5aA61mYfHAGRRUFKMCqAqGxYoC6DkbMKoL0KZdg2puCa/qwDGk7v6IZ385VwKtEEII\n8QNktYkQp8h3DlY4HGjzwxJAMwOg9hmFkbMGo7kM3PWQmI5etAfD0FsaURRumz6F+NjYQJUhhBDi\ndDI6ya0LkpFaIU4Be1EhRY8twnxklwNUFljTKAyKAq8b41AxuskETTUYFhOqYmCcfSmqomA4m/Ef\n2IbWZxjBu1bxaXM6wwYMJDkxIcBVCSGEEJ2XjNQKcZK5bTbyFy1oC7SqhcX9fkRRnynomz9Ez9sI\ncWnoJbvRmw+BouBvrAW3HQAlOAyjqQ7vuvdxZJ3D17FDWbT800CWJIQQQnR6EmqFOIncNhu2JxZj\nPbLLgaKxuM9FFITGtxx5G9cTkvpiOBrQzrsJJTwaNaU/6pApUJqLUWXD0P0oweGo42dBeR4A5e7A\n1SSEEOI00o3OceuCZPqBECeJvaiQvIXzCf7WorBFQekUhsYDYBgGRo0No6YIZeBYdHsDmINQMga3\nNNBnBPq2z6CqCGXAWPA4wWTBMAxSgrrmB4wQQghxukioFeIkcNts5C6YT4hxONAqJhYqcRSmjcS/\n6xOUyEQUrwstayp6eTZG6QEMrx0lIeOodqKDLTSkDkK115NQvImY9D4kNmZz35UzAlGWEEKI062L\njpJ2BhJqhThBdQf2U/LE422BVrWwuM908gt3QeUBlKBgtF4j2i7QTBg+BSWpH5Tuw0jqixIWTVBT\nNbeePZis9CQ0VWPwoOkoihKgqoQQQoiuRUKtECfAbbNR8uSStikHhwNtQUg8+L0ovUZCyW50ZxNq\ncHjL4QrNhzA5a7F6atGHT8JTV4apZBczMiK5/uJbAlyREEII0TVJqBXiOB3Zhza49ehbhYXWDArc\nPoyilegeF0r2GnA2Y1QXYsT1gpoSgkJC+Peih7j/X5+zPzYNLTYNAyisyQ5sQUIIIQLPkOkHx0tC\nrRDHwWUroWDRAkyelm0J7GjM94eS39yIEnwIdeA5mM0W/EXbMIKDUYNCwe+DgWcTV7SOhISE72w9\nospMAyGEEOK4SagV4hi5bTbyFs7H0roPrZkF3nAKgiPQRlyAkbcZo3wffnsd+qFC1HGXo0bGAeDP\nXoc1JoE/vbcCT201Jl8e3sQ+RNUUM2to70CWJYQQQnRpEmqFOAZH9qG1fPtghZ7TKTxUhhIeh1Ge\ni9r/LAy/DyN/C0rywNZAC6DE96Im90te6T0BpXcqerWNwbs/4ne33EC/Xr0CVZYQQojOQg90B7ou\nOXxBiA5qCbSPodtbTv46EmgLQuJA96HFpMLBfPSdn2MUbEPpPQqcDRgeV1sjDVXUNTvB5wVAjUvD\nHdtTAq0QQghxgmSkVogOOLIoTLc3A4cXhWlJFDTUQlUJSng8ht+L4XVhKAZan9EoioKS0Bt9/9co\noZHg97UcwBCVgFK6H/qPBiBak1/LhRBCtFBkodhxk1ArRDtaA21zW6BdoMaT53KBPRslNBrFHISR\nV4gyfDoUbUXf9D5KRByGyYzhbECxWMHvxXDUo/RIIc1xEEf5HhI1H/f8aEpgCxRCCCHOABJqhfgB\n3wm0iokFahyFfc7CHNly/K2vZDdEJaH1bTlgwd9ch5HYGwUdre8YAAxDx79rFUr/McSV7uRfi3+N\nYeiYzZbAFCaEEEKcYWROrRDf478DrQOVxcG9yHd7UUxtYVRL6A31BzEMAz1nHWrmRFRFwfD7j2ov\nUndytq+Ud35zNyaTSQKtEEKI79KNznHrgmSkVoj/wWUrIX/hfMyHdzlwoLCo3yUUhMSj+n3o+d+g\nZZ0DgF5diG7bA4dKiAlSaIyIxagqgLg0/Ae+QdEsGLXl9EiI57c3XElUVFQgSxNCCCHOSDJSK8R/\ncRQXkfPIH1oDrR2VBaYU8o0g9NyvoXQfuJ34dn2Bf/869JK9KP3PxuqqY0ivZIJ3f4qBhrl0H0qP\nFAxNQ0noQ0nyGN5YuS7A1QkhhOjUAj1CKyO1QpwZ3DYbBYsWEGK07EhgN2CBKZ38pjoo3o5p4JTW\nx/r2fobuqEEbeh56VQEx/QazPmoURIGWs56picGsajiEP7E/iiUYAAM5NkwIIYQ4FWSkVojD3DYb\nRY8vxHJ4D1k7KvO9URR4PChx/VBMQUc9Xo2IR8s6Dz1vE5TupTJ5ZOvPjAHjWVXmZFxwU2uMTa3J\nZtaEUaerHCGEEKJbkZFaIWiZQ1uwaAEmjxtoOfr2scTzKbTtRsucCrof/96PMbwuFLMVQ/ehNx1C\nS89ECY3GSOwFzkYIiWxp0NmMLyiCq6eOYWpDM/X2as6fcSGpSUkBrFIIIUSnJ/vUHjcJtaLbc9lK\nyHnkD21TDg4H2gJrLEpIDxRFBU1F7T8V/9ZlYA1HCQpB7T0Sw7YXw+dCSR1I+PYVNCVmgqph1B5k\nQI9QRg8dQnBwSIArFEIIIc58Mv1AdGtum43c+Y+0BVpUFkeOocAai+5xYjTYMA7/1qwoYHhcKNEJ\naEPPRw2PRe01CsXrIexQPt7IFAyPB/VgPiOiFJ7+ySwJtEIIIcRpIiO1otty22zkLnyUIL8PaBmh\nXWTuSZ7uR6nYA6oCfcZi1BRDVBL+gg2oE68H286j2glX/fhK83CGxqGkZ2KkZuG17ychPj4QZQkh\nhOjK5OT04yahVnRLbpuN4iWLsBzZtstQWGzpSx4WtJSs1scZrmZ8OV+iRMajDbsQRdXw1ZRipDla\npiBUFdDcoy9qUj8UVzNG8U6UnsPl7G4hhBDiNJPpB6LbOXJSGA4HAHY0FsdPIi+qN7ia8BdsBMDQ\ndfzZq8Aw0Iacj6JqGI1VKCmZqMXbmebdjcVeiZrUDwDVGgaGTnhTGZcP7x2w+oQQQnRhhtE5bl2Q\njNSKbsVts2F7YjG63Q60jNAuUpIocCso3moMjxNdMTD2fAooGPZq0Mz4NixFS8sEsxUtNRPd52Hy\nYIMiRy75h9s2/D5GB9u550dDyBrQP2A1CiGEEN2RhFrRbbhtNkqWLMZwHA60ipmFrlCK+01GU7XD\nj1IhPAQ1Mgn/gdUEh8XgCYmC9CwMewNayiAAejfnMXH0VcTFxfGnjzdS71cYFKnyh1/dTVBQ0Pf0\nQAghhBCnioRa0S005OVS+Niitl0OlMPbdh3Mw9QaaEEJicIo3Yz/4F7OSotkxqSp/GGPjhIUiqEb\n+Au3kRnsYNFPbyAiIpIxQyL5+5DBgSpLCCHEmaaLHlHbGcicWnHGayrIp2DxoqOOvl0cN5mCoFiU\nqFT81QcAMAwDvSobIzyOIHcDLz7yEFGRESiHd0dQYlJQM4Yzdfgg0pKTA1aPEEIIIb5LRmrFGa1l\nysFjhNI2Qrs4ZDi5tj2oEbUYPhf+6jwMnxOjthBi01CdDVwyYRwA40ePYurGv7HKpWGYzAxz5HDt\nRTcFsiQhhBBC/A8SasUZ68guB+Yj23YpZh7vMZVCIwjF3YSSOgSjthjVVQ+qDkFhEN+P0NIt3DTz\nQgBUVWXR3B/z5dff4HK7mTb+x1it1kCWJYQQ4gymyPSD4yahVpyRjgRavbkZaDkp7PEeU8k3x+Av\n3YRhUjHqy9AP7sOUdQGKyYJhGITu/w+vPfJz0lLapheoqsq0CeMDVYoQQgghOkBCrTjjuG028hc9\nisnTMkLrUVQWGmkU1leAUY6SOhzDthn/wX2o5mCM8gPonibUpIEMyhxCWkpKgCsQQgjRbclA7XGT\nUCvOKG6bjf3zH8Z65OhbA+bX6BQENaDGJ6AERWAc3IXW+2yM8r2oqSNbr/WXbmZgnz6B6roQQggh\nToDsfiDOGG6bjcLHFrQFWsXM4vDJFBhm8LrBGoa/fAdqz3EopiBQj/6dzuK1c+d1lwei60IIIYQ4\nQTJSK84ILlsJufMfIehbgfbxyCkUmXugJQxCSx2Gd99/UMPjwFELYbHojloU3YeimtC9TsI8tWia\nxoH8Ajbs2EtGYhznTjgrwJUJIYToVmSh2HGTUCu6PLfNRs4jf2jbhxYTi72JFJpi0Ct2oCb0BkCN\nSkVJycKoK8VoLG8Zuc35FCUsFqO+jNRBA9iwdQePfLib2pB0TPsqua54GXdeNyuQ5QkhhBCiA2T6\ngejS3DYbRY8tOOqksMdjp1EQMxB/yRr0xlKU0B4AGI56DMNAjeuNmjoMxRyE2mscBn6UPhNRVI3l\nX++lNiQdAJ81ik+zq9F1PWD1CSGE6GYMo3PcuiAZqRVd1pFtuxSXC2jbh7bAEouCA7wOlOBI/OW7\nMLxO9OZqyP4MIyoZXE0o0Wmo4XEY7iZoOEhStAlDOfqNrACKogSgOiGEEEIcCxmpFV2S22aj+PGF\nbfvQGgqLjQwKLLEYho6/8CuMkEh0rx29sRy9qRJt6CWokYkQFI7uc6HEpGP43BgVORAWy/BB/bhm\n8gjiHYUYhkGQ8xCXDkuWUCuEEEJ0ATJSK7qclqNvF4PTCYBdMfFY+DjyqmwYB74AdyNKdCpGfSlY\nQ1Fie6GXbEXP/gx6pKFqKmpQGClFH1JlRBGUOohJCW6uuvh8NE3jxZho1m/dSe+0PowdMTzA1Qoh\nhOhWusBCMb/fz29+8xuKiopQFIWHH34Yi8XCr371K1RVpV+/fvz+979HURTeeecd3n77bUwmEz/7\n2c+YMmXKKeuXhFrRpbhtNmxPLMZw2AGwGyqLnBEUJaZjCu+Jv2IvepOB0VyFechlKKoJX/E3aFmX\noFrD0A+s5P/Zu/Mwu6o63//vtfbeZ64xqUoqSaUyD5CkICSQBAgogyjIjMqoCAq0tl5pbosihkFI\nINFrt2hfrz+1NXa3Q0t3i4oDKKCAQoDMZKpKVSpTzanh1Jn2Xuv3x0lVCIkCMalTlXxfz3OehzrZ\nZ5/1PbtKP7Vq7e+yyiGSKGHulHF84IJFjCgrY+TIioEZ2eqxY/jQG3YUE0IIIcQBv//979Fa8x//\n8R+89NJLfOUrXwHgzjvvZP78+SxZsoSnn36a2tpaVq5cyeOPP04mk+Haa69l0aJFhEKhYzIuWX4g\nho3+PrQmeSDQPpo4i4aqxfibf0Nu2+/Agk13o0ur8bf+jmDHKpQOYXe+htIOeuq7UJ07yKgIP++Z\nwH3/9jThcESWGAghhBBv0/nnn88DDzwAwK5duygpKWHDhg3Mnz8fgMWLF/PCCy+wbt065s6di+d5\nJBIJampq2Lx58zEbl4RaMSz0z9Dq/pvCDCxzT2Jb1sd0bMOpOBmCHEHbJnRsBORyKCeKHnMqzphT\n0SUTMft2AmBKx6MrpwJQ503mjy+9UrC6hBBCiIOYIfJ4C47jcPfdd/PQQw/x/ve/H/uGjgnxeJye\nnh56e3spKio66Pne/ffCHAuy/EAMeZmmJnasWIbtn6E1lqWh2dS1NqESo8FabKoNk+7GKRmLW70A\n09kA6X0Edc/gjJ6NLh5D0LaeSPNaMpPOGTh3KNfN6IoZBapMCCGEGL6WLVtGW1sb11xzDdlsduD5\n3t5eiouLSSQSJPf/fzdAMpmkuLj4mI1HZmrFkJafoX3kQKC1iod64tR1tuBOvAB31Cm4o08FP4eT\nGIUqHofp3gXawak6BXfiuZh9TZjdr1Eb7+SXX/siF5S2EO5uIt69nasnWubWzi5wlUIIIUSesnZI\nPP6a//7v/+ab3/wmAJFIBK01s2bN4qWXXgLgueeeY968ecyZM4dVq1aRzWbp6emhrq6OqVOnHrPP\nTmZqxZCVaWqicflS6OsD9t8U1pNge6QC5WdR2jlwsBMB14FkK9ZxcUYdCKq6fAqm8Wl6x9byw1/+\nnoc+9VFaW1vwvBBlZWWDXZYQQggxrF100UXcfffd3HDDDfi+zz333MOkSZO49957yeVyTJ48mYsu\nugilFDfddBPXXXcdxhjuvPPOY3aTGEioFUNU/01hA2tocVieOJcdpSNQrWvBczC5FNqLYq3FploB\ngx5Ti7/zNXTZZFQoBoDpa8VEymgITeV7G/Yx8Q8vcsHiRQWsTgghhBi+IpEIX/3qVw95fuXKlYc8\nd80113DNNdcMxrAk1Iqhp3+nsIFAazXLE+dS7+a3u3WKawj8LkznVoJUJzbTjR5XS6ynnvMm+cRO\nmkd7x17+vCNDJtVLLt2LM+N8AHLhUup2t3BBwaoTQggh/oph0Kd2qJJQK4aU/jW0Jrl/pzA8lgXj\naTBR+ptumd496LKxGO1AXzOxknJuOWskl1/0QcpKSwfOlctlaWlt4+Pf+BWtKr98PJZp4ZRpMwe7\nLCGEEEIcYxJqxZCRaWpiy5fuJxz4wP6tb1Pl1CeqMC2rUW4EpRyC7kbo3QHaw6k5m/dM6OHmD111\nyPk8L8TYMWP4whVz+fffryawcOHpE1gwt3awSxNCCCHenre4SUv8ZRJqxZCQaWpi60MPHAi0uCxP\nnENjSTmm6Q/oRBW6dDJKKawNsI5BKcuU9Co++7Elf/XcC087hYWnyXa3QgghxPFMWnqJgutfQxvy\nc8D+NbTxc6h3ygHQiSpUZMTArl/W5tDxEeDG2Jat5BP3/xOrXn2VP696hVwuR0dHB93dXQWrRwgh\nhBCDT2ZqRUFlmppofHQppPa37cJjWXYc24MI/R27THcTpnkNTsl4TKoFZ/xCyHTgVOWXEawJctzx\n1SdQZdMo/5cfkS6fjkvApbPL+dRNVxeqNCGEEOKdexu7eYnDk1ArCqb/prCBQGsdlkfPpiFWhm1b\nj+8nIUhj+tpQ0TKIxHB6ktCxGRuKE+xdix41G+V4BNk0ds8rtE9djN7fyutHG1s5e916Tp09q5Bl\nCiGEEGIQSKgVBXFolwOXpV0RGsJRtKNAO5hUBxaL9YpQyqJT7YyceirtRScDYFJd2PYtWK8IXVqD\n9XsHAi1ALlTCrr0tnCobhgkhhBDHPVlTKwbdIYHWapalx9Iw+l0Eu18gW/8L/HQrBBl0uBQ3NoKQ\nyXLF/LG0JMEG+bW3OlpCUWY3ZJOocBE200tuw88xfR0ATDQNnH3GaQWrUwghhHjHjB0aj2FIQq0Y\nVJmmJnasWPaGGVqH5dFzaSg9BdOyFuVGAYsyAbpkAt7YM3FHzcNWX8QTr+xGh0dgdr6GTe3DZnq4\neMEMIiqLybSjPBc9ZjakOqlue47lt19GSXFJYQsWQgghxKCQ5Qdi0GSammh49GFUKgXs73IQzXc5\nUADaxbohSO7FoNFRb+C1SmlybhlOvAIdryBX/xTW5PhVzxjiwT7SXhWqas7A1ri7shXUNTQyftzY\nAlQqhBBCHCHpU3vEJNSKQdHftmsg0OKxLDWKxkT5gYOCNLZvH8ZPoQiw2W6stSilMLlQeFI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Ph4gvZVOCPmAZbizGrOf9cSJjfu5OlXf02bPxZrDadUdfPQ5z+J53kFqlYIIYQ4TgzTm7SGAgm1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\nFBUNBFqAs85cwMIF8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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# create data for a y=x line\n", + "p_ac_max = p_acs.max().max()\n", + "yxline = np.arange(0, p_ac_max)\n", + "\n", + "fig = plt.figure(figsize=(12,12))\n", + "ax = fig.add_subplot(111, aspect='equal')\n", + "sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=poa_irrad.poa_global, alpha=1, cmap=mpl.cm.YlGnBu_r) \n", + "ax.plot(yxline, yxline, 'r', linewidth=3)\n", + "ax.set_xlim(0, None)\n", + "ax.set_ylim(0, None)\n", + "ax.set_xlabel('Single Diode model')\n", + "ax.set_ylabel('Sandia model')\n", + "fig.colorbar(sc, label='POA Global (W/m**2)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can change the value of color value ``c`` to see the sensitivity of model accuracy to measured meterological conditions. It can be useful to define a simple plotting function for this kind of exploratory analysis." + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def sapm_sd_scatter(c_data, label=None, **kwargs):\n", + " \"\"\"Display a scatter plot of SAPM p_ac vs. single diode p_ac.\n", + " \n", + " You need to re-execute this cell if you re-run the p_ac calculation.\n", + " \n", + " Parameters\n", + " ----------\n", + " c_data : array-like\n", + " Determines the color of each point on the scatter plot.\n", + " Must be same length as p_acs.\n", + " \n", + " kwargs passed to ``scatter``.\n", + " \n", + " Returns\n", + " -------\n", + " tuple of fig, ax objects\n", + " \"\"\"\n", + " \n", + " fig = plt.figure(figsize=(12,12))\n", + " ax = fig.add_subplot(111, aspect='equal')\n", + " sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=c_data, alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) \n", + " ax.plot(yxline, yxline, 'r', linewidth=3)\n", + " ax.set_xlim(0, None)\n", + " ax.set_ylim(0, None)\n", + " ax.set_xlabel('Single diode model power (W)')\n", + " ax.set_ylabel('Sandia model power (W)')\n", + " fig.colorbar(sc, label='{}'.format(label), shrink=0.75)\n", + " \n", + " return fig, ax" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(,\n", + " )" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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b+fyrFbxz4BDtWeOxNVSxb9Fyrq+sI62xxX1cySX92d/Tnz2vfMLgUf05frSa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\njYP+V0UIIYQQg8Cgv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OGAZ9+1oMRgNZwzJodzrJGzeMDZ/swQCcbPeRUTiEpkNNwZuIiASEAquIiARV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mDHh49rgy3fLIUQQpzO3HF4TULSwyoyhtVnem1+1J6Fk+rAaXoOO7cMs2Q2nikXM7DhLnQ6hV1a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\nqVSKhx9+mP/xP/4H3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w65Tr2LBlH9Dj7JSD6B0Mi6gNHFsYlsbyOhu9Yqw4DBMTpo5lzuxFtGufRrv2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\nMmP6afzvDVez8JU3C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MQaTVqGMqIiLSQjbu2MaS/TmYBQfxd03FHh7BZYveoH/NySWhVvnsvDz8Uvjn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8khVh688wr69Y0mNiacIRH+tDW3oLpc9PFvZ8GfltLS0oamaezPLz9u++VVDoqLa3G7v/vLqqm2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\nLFhAdnY2//jHP1i0a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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sapm_sd_scatter(tmy_data.Wspd, label='Wind speed', vmax=10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice the use of the ``vmax`` keyword argument in the above example. The ``**kwargs`` pattern allows us to easily pass non-specified arguments to nested functions." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def sapm_other_scatter(c_data, x_data, clabel=None, xlabel=None, aspect_equal=False, **kwargs):\n", + " \"\"\"Display a scatter plot of SAPM p_ac vs. something else.\n", + " \n", + " You need to re-execute this cell if you re-run the p_ac calculation.\n", + " \n", + " Parameters\n", + " ----------\n", + " c_data : array-like\n", + " Determines the color of each point on the scatter plot.\n", + " Must be same length as p_acs.\n", + " x_data : array-like\n", + " \n", + " kwargs passed to ``scatter``.\n", + " \n", + " Returns\n", + " -------\n", + " tuple of fig, ax objects\n", + " \"\"\"\n", + " \n", + " fig = plt.figure(figsize=(12,12))\n", + " \n", + " if aspect_equal:\n", + " ax = fig.add_subplot(111, aspect='equal')\n", + " else:\n", + " ax = fig.add_subplot(111)\n", + " sc = ax.scatter(x_data, p_acs['sapm'], c=c_data, alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) \n", + " ax.set_xlim(0, None)\n", + " ax.set_ylim(0, None)\n", + " ax.set_xlabel('{}'.format(xlabel))\n", + " ax.set_ylabel('Sandia model power (W)')\n", + " fig.colorbar(sc, label='{}'.format(clabel), shrink=0.75)\n", + " \n", + " return fig, ax" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(,\n", + " )" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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3mz+uWUGRx4Wl7CxPfqupmL5hGCQPjiD/0kWSk/q0uX2v18vvP3yP7PyLDE3p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UQURQIDApk4Jp6y/KPYW+vxjdBiTMtA1OvpDw6l5tA+bJ2NpGdGoFariI/x54O/baa7oxux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2gvKa45dNTuOiovnFyhvZfyqfQLOZxXeupaquhleOHcQeFYGqo4uVyemfpXkFQRAEQRA+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\nz+iaTU6PnjjN9t0FlBa3Ikn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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sapm_other_scatter(tmy_data.DryBulb, tmy_data.GHI, clabel='Temperature (deg C)', xlabel='GHI (W/m**2)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we will assume that the SAPM model is representative of the real world performance so that we can use scipy's optimization routine to derive simulated PVUSA coefficients. You will need to install scipy to run these functions.\n", + "\n", + "Here's one PVUSA reference:\n", + "\n", + "http://www.nrel.gov/docs/fy09osti/45376.pdf\n" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def pvusa(pvusa_data, a, b, c, d):\n", + " \"\"\"\n", + " Calculates system power according to the PVUSA equation\n", + " \n", + " P = I * (a + b*I + c*W + d*T)\n", + " \n", + " where\n", + " P is the output power,\n", + " I is the plane of array irradiance,\n", + " W is the wind speed, and\n", + " T is the temperature\n", + " \n", + " Parameters\n", + " ----------\n", + " pvusa_data : pd.DataFrame\n", + " Must contain the columns 'I', 'W', and 'T'\n", + " a : float\n", + " I coefficient\n", + " b : float\n", + " I*I coefficient\n", + " c : float\n", + " I*W coefficient\n", + " d : float\n", + " I*T coefficient\n", + " \n", + " Returns\n", + " -------\n", + " power : pd.Series\n", + " Power calculated using the PVUSA model.\n", + " \"\"\"\n", + " return pvusa_data['I'] * (a + b*pvusa_data['I'] + c*pvusa_data['W'] + d*pvusa_data['T'])" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "from scipy import optimize" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "pvusa_data = pd.DataFrame()\n", + "pvusa_data['I'] = poa_irrad.poa_global\n", + "pvusa_data['W'] = tmy_data.Wspd\n", + "pvusa_data['T'] = tmy_data.DryBulb" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "optimized coefs:\n", + "[ 2.09706292e-01 5.45378922e-06 9.35100724e-04 -1.37507303e-03]\n", + "covariances:\n", + "[[ 1.34031678e-07 -9.74577537e-11 -7.82618534e-09 -2.31707016e-09]\n", + " [ -9.74577537e-11 1.87691716e-13 -7.69298228e-13 -2.50824263e-12]\n", + " [ -7.82618534e-09 -7.69298228e-13 1.25182333e-09 1.91488592e-10]\n", + " [ -2.31707016e-09 -2.50824263e-12 1.91488592e-10 3.76869810e-10]]\n" + ] + } + ], + "source": [ + "popt, pcov = optimize.curve_fit(pvusa, pvusa_data.dropna(), p_acs.sapm.values, p0=(.0001,0.0001,.001,.001))\n", + "print('optimized coefs:\\n{}'.format(popt))\n", + "print('covariances:\\n{}'.format(pcov))" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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1GAx4vV5++tOfkpSUxIMPPgjAxIkT+c///M8ePbbCqYiI9FtWp4vy1au49Uw1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\nBmfXXgrPz8dis+HMz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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "power_pvusa = pvusa(pvusa_data, *popt)\n", + "\n", + "fig, ax = sapm_other_scatter(tmy_data.DryBulb, power_pvusa, clabel='Temperature (deg C)',\n", + " aspect_equal=True, xlabel='PVUSA (W)')\n", + "\n", + "maxmax = max(ax.get_xlim()[1], ax.get_ylim()[1])\n", + "ax.set_ylim(None, maxmax)\n", + "ax.set_xlim(None, maxmax)\n", + "ax.plot(np.arange(maxmax), np.arange(maxmax), 'r')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/docs/tutorials/notebooks/tracking.ipynb b/docs/tutorials/tracking.ipynb similarity index 100% rename from docs/tutorials/notebooks/tracking.ipynb rename to docs/tutorials/tracking.ipynb From efc29d6436e77911a44d68b33d8b03918deacfab Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Mon, 15 Feb 2016 23:28:50 -0700 Subject: [PATCH 61/88] editing forecast docs --- docs/sphinx/source/forecast_module.rst | 172 ------------------------- docs/sphinx/source/forecasts.rst | 142 ++++++++++++++++++++ docs/sphinx/source/images/diffuse.png | Bin 36150 -> 0 bytes docs/sphinx/source/images/oop.jpg | Bin 32654 -> 0 bytes docs/sphinx/source/index.rst | 30 ++--- 5 files changed, 157 insertions(+), 187 deletions(-) delete mode 100644 docs/sphinx/source/forecast_module.rst create mode 100644 docs/sphinx/source/forecasts.rst delete mode 100644 docs/sphinx/source/images/diffuse.png delete mode 100644 docs/sphinx/source/images/oop.jpg diff --git a/docs/sphinx/source/forecast_module.rst b/docs/sphinx/source/forecast_module.rst deleted file mode 100644 index b86dce98fd..0000000000 --- a/docs/sphinx/source/forecast_module.rst +++ /dev/null @@ -1,172 +0,0 @@ -.. _forecast_module: - -**************************** -Forecast Module Background -**************************** - -This document is under construction. - -Here is the background behind the development of the forecast module. - - -PV System Power Calculation with pvlib-python -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -Here is the process that is used to produce a power output estimate using pvlib library. - -.. image:: images/pvlib.png - - -Forecasted Meteorological Data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - Listed in the chart below are the forecast models and their intervals for which data is available on the - Unidata THREDDS server. - -.. image:: images/unidata.jpg -.. image:: images/thredds_icon.jpg -.. image:: images/thredds_data.jpg - -Unidata THREDDS Data Server (TDS) -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -Where does the data come from? - -Unidata hosts a THREDDS Data Server that contains the forecast model data from NCAR, NCEP, and FNMOC. - -Thematic Real-time Environmental Distributed Data Services (THREDDS) - -* http://thredds.ucar.edu -* http://thredds.ucar.edu/thredds/catalog.html -* XML based online data repository -* Multiple data formats supported (netCDF, HDF5, GRIB, NEXRAD, OPeNDAP, etc.) - - -Unidata Siphon -~~~~~~~~~~~~~~ - -What is Siphon? - -Open source Python library for downloading data from Unidata technologies THREDDS Data Server (TDS). -https://github.com/Unidata/siphon - -How to download the data? -Using the NCSS (netCDF subset service) module which accesses the xml catalogs on the TDS. - -What versions of Python are supported? -Python 2.7 & Python >= 3.3 - -Available via pypi, Binstar, and Github - -pvlib-python Forecast Module Objectives -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The criteria for the module development were as follows (many were focused around object-oriented programming). - -* Simple and easy to use -* Comprehensive -* Flexible -* Integrated -* Standardized - -.. image:: images/oop.jpg - -Challenges -~~~~~~~~~~ -There were several challenges that were addressed when putting together the forecast module. - -* Data format dissimilarities between forecast models - * Forecast period - Many of the forecasts come at different intervals and span different lengths of time. - * Variables provided - The model share many of the same quantities, however they are labeled using different terms - or need to be converted into useful values. - * Data availability - The models are updated a different intervals and also are sometimes missing data. - -* Irradiance - * Cloud cover and radiation - Many of the forecast models do not have radiation observations or if they - do they are incorrect. Since it is necessary to have accurate radiation values - to calculate power output the model by default uses a basic radiation function - (Liu and Jordan, 1960) to generate more appropriate radiation values based on cloud cover. - -.. image:: images/diffuse.png - -.. math:: - - DNI &= {\tau} ^m DNI_{extraterrestrial} \\ - DHI &= 0.3(1 - {\tau} ^m)cos{\psi}DNI_{extraterrestrial} - -Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and -characteristic distribution of direct, diffuse, and total solar -radiation". Solar Energy 4:1-19 - -Forecast Module Structure -~~~~~~~~~~~~~~~~~~~~~~~~~ - -Hosted on GitHub -https://github.com/MoonRaker/pvlib-python - -Existing functionality - * location - * Air mass number (atmosphere.py) - * Direct Radiation (clearsky.py) - * POA diffuse radiation (irradiance.py) - * Solar angles (solarposition.py) - * Conversion to power (pvsystem.py) - -Added functionality - * Unidata Forecast data (forecast.py) - * Cloud cover to diffuse radiation (irradiance.py) - -Model subclass -~~~~~~~~~~~~~~ - -Each forecast model has its own subclass. These subclasses belong to a more comprehensive parent -class that holds many of the methods used by every model. - -Within each subclass model specific variables are assigned to common variable labels that are -available from each forecast model. - -Here are the subclasses for two models. - -.. image:: images/gfs.jpg -.. image:: images/ndfd.jpg - -ForecastModel class -~~~~~~~~~~~~~~~~~~~ - -The following code is part of the parent class that each forecast model belongs to. - -.. image:: images/forecastmodel.jpg - -Upon instatiation of a forecast model, several assignments are made and functions called to inintialize -values and objects within the class. - -.. image:: images/fm_init.jpg - -The query function is responsible for completing the retrival of data from the Unidata THREDDS server using -the Unidata siphon THREDDS server API. - -.. image:: images/query.jpg - -The ForecastModel class also contains miscellaneous functions that process raw netcdf data from the THREDDS -server and create containers for all the processed data. - -.. image:: images/tempconvert.jpg - -Tests -~~~~~ - -The nose library is used to perform tests on the library modules to ensure that the library performs as -expected and as it was intended. - -.. image:: images/nosetests.jpg - - - - - - - diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst new file mode 100644 index 0000000000..b0e8069e5e --- /dev/null +++ b/docs/sphinx/source/forecasts.rst @@ -0,0 +1,142 @@ +.. _forecasts: + +***************************** +Forecasting with pvlib-python +***************************** + +pvlib-python provides a forecast module that makes it easy to obtain +data from the Unidata THREDDS server and turn that data into PV power +forecasts. pvlib-python uses the Unidata's Siphon library to simplify +access to the forecast data. + + +PV System Power Calculation with pvlib-python +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Here is the process that is used to produce a power output +estimate using the pvlib library. + +.. image:: images/pvlib.png + + +Forecast Data from Unidata +~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Listed in the chart below are the forecast models and their +intervals for which data is available on the +Unidata THREDDS server as of December, 2015. + +.. image:: images/unidata.jpg +.. image:: images/thredds_icon.jpg +.. image:: images/thredds_data.jpg + + +The Unidata THREDDS Data Server contains forecast +model data from NCAR, NCEP, and FNMOC. + +More information can be found at + +* http://thredds.ucar.edu +* http://thredds.ucar.edu/thredds/catalog.html + + +Siphon +~~~~~~ + +Siphon is an open source Python library for retrieving data +from Unidata's THREDDS server. pvlib-python makes use of Siphon's +and THREDDS NetCDF Subset Service (NCSS). + + +pvlib-python Forecast Module Overview +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Forecasts in pvlib-python aim to be: + +* Simple and easy to use +* Comprehensive +* Flexible +* Integrated +* Standardized + + +There were several challenges that were addressed when putting together the forecast module. + +* Data format dissimilarities between forecast models + * Forecast period + Many of the forecasts come at different intervals + and span different lengths of time. + * Variables provided + The model share many of the same quantities, + however they are labeled using different terms + or need to be converted into useful values. + * Data availability + The models are updated a different intervals and + also are sometimes missing data. + +* Irradiance + * Cloud cover and radiation + Many of the forecast models do not have radiation + fields, or if they do they suffer from poor solar + position calculations or radiative transfer algorithms. + It is often more accurate to create empirically derived + radiation forecasts from the weather models' cloud cover + forecasts. pvlib-python currently uses the Liu Jordan model + to convert cloud cover to radiation, however, we encourage + developers to explore alternatives. + +.. math:: + + DNI &= {\tau} ^m DNI_{ET} \\ + DHI &= 0.3(1 - {\tau} ^m)cos{\psi}DNI_{ET} + +Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and +characteristic distribution of direct, diffuse, and total solar +radiation". Solar Energy 4:1-19 + +Forecast Module Structure +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Model subclass +~~~~~~~~~~~~~~ + +Each forecast model has its own subclass. +These subclasses belong to a more comprehensive parent +class that holds many of the methods used by every model. + +Within each subclass model specific variables are +assigned to common variable labels that are +available from each forecast model. + +Here are the subclasses for two models. + +.. image:: images/gfs.jpg +.. image:: images/ndfd.jpg + + +ForecastModel class +~~~~~~~~~~~~~~~~~~~ + +The following code is part of the parent class that +each forecast model belongs to. + +.. image:: images/forecastmodel.jpg + +Upon instatiation of a forecast model, several assignments are +made and functions called to initialize +values and objects within the class. + +.. image:: images/fm_init.jpg + +The query function is responsible for completing the retrieval +of data from the Unidata THREDDS server using +the Unidata siphon THREDDS server API. + +.. image:: images/query.jpg + +The ForecastModel class also contains miscellaneous functions +that process raw NetCDF data from the THREDDS +server and create a DataFrame for all the processed data. + +.. image:: images/tempconvert.jpg + diff --git a/docs/sphinx/source/images/diffuse.png b/docs/sphinx/source/images/diffuse.png deleted file mode 100644 index 4366715da06ea8856703901b830d5ebd473022ae..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 36150 zcmbSyby!v1*DZ*&bV`bJhjdCyOLwPqcSAl==~LFoqR?uNT~-|u(hyZ_wh z`pC04$K&2>uQk`0V~jcX*N^g&C`bfIP*6}PQXj;WprBqrprD|Q5#YclcjW4S!QrKo zh?EKf_~VUW@&){kX#YXe2?`1s^Z5sQV$t^=3hE7%l$fxJd+Pq8o4bnXW&6od+OWw4 zl@I0z@}Tx{(L_`=F-2j;*-2QOyUP0FpGMFOR+<<%*e~O2R<%B2D1O9viLpaQ@f{KU z1KN(wg!$o7^n2f*IUN*nEL&&%f>cghOJ1jJ1F2q{3s6;i z`P2U&-|!@5fo?ZpLxGL(?|VHj15FCwP5JN0`GP7T93k)@%QCbloEyg`?Oo)xY`*14k(G@EAIc_nZ=gt{&gCM zRjcikAb7|U-KN{mV-J7hs#03UtjZrkXJ!P>kA^4tA^+*q 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    temperaturewind_speedtotal_cloudslow_cloudsmid_cloudshigh_cloudsdhidnighi
    2016-02-18 02:00:00-07:0013.6499943.67822000000.0000000.000000e+000.000000
    2016-02-18 05:00:00-07:0011.6499942.45226400000.0000000.000000e+000.000000
    2016-02-18 08:00:00-07:0014.3500063.644078000059.2212723.013900e+02115.053768
    2016-02-18 11:00:00-07:0029.7500005.171779000095.1478298.772437e+02663.238722
    2016-02-18 14:00:00-07:0033.6499946.1128712020101.0883508.632626e+02678.543892
    2016-02-18 17:00:00-07:0026.3500065.179286350352792.1336156.884327e+01108.420245
    2016-02-18 20:00:00-07:0019.0500183.21922397097890.0000000.000000e+000.000000
    2016-02-18 23:00:00-07:0015.1499941.59778079066740.0000000.000000e+000.000000
    2016-02-19 02:00:00-07:0013.9500121.6082298208810.0000000.000000e+000.000000
    2016-02-19 05:00:00-07:0012.7500003.0152958509840.0000000.000000e+000.000000
    2016-02-19 08:00:00-07:0015.3500064.012879870128677.5546188.415816e-0377.556209
    2016-02-19 11:00:00-07:0030.0500184.684709820681254.8990026.362399e+01296.375117
    2016-02-19 14:00:00-07:0033.6499944.200774750075252.9807691.140161e+02329.714581
    2016-02-19 17:00:00-07:0026.4500124.28085365006597.9846215.650927e+0099.340394
    2016-02-19 20:00:00-07:0016.7500002.7858216300630.0000000.000000e+000.000000
    2016-02-19 23:00:00-07:0014.6499941.0711686900690.0000000.000000e+000.000000
    2016-02-20 02:00:00-07:0013.6499941.1081979900990.0000000.000000e+000.000000
    2016-02-20 05:00:00-07:0011.8500061.9556339600960.0000000.000000e+000.000000
    2016-02-20 08:00:00-07:0014.1499942.43287941004177.8801732.218350e+0182.162429
    2016-02-20 11:00:00-07:0031.2500000.785684230023152.4127935.928149e+02541.435031
    2016-02-20 14:00:00-07:0034.4500122.048634000096.0178498.943007e+02701.538997
    2016-02-20 17:00:00-07:0026.3500064.16427716001684.3953382.104956e+02135.598053
    2016-02-20 20:00:00-07:0017.2500003.2633734400440.0000000.000000e+000.000000
    2016-02-20 23:00:00-07:0014.6499941.8552632900290.0000000.000000e+000.000000
    2016-02-21 02:00:00-07:0012.5500181.50814400000.0000000.000000e+000.000000
    2016-02-21 05:00:00-07:0010.9500121.51832200000.0000000.000000e+000.000000
    2016-02-21 08:00:00-07:0013.6499940.646607000061.3881333.284074e+02126.092093
    2016-02-21 11:00:00-07:0029.5500181.569745000095.5395218.849063e+02680.097625
    2016-02-21 14:00:00-07:0032.4500124.133098000096.1327858.965641e+02706.837239
    2016-02-21 17:00:00-07:0024.7500004.993455000069.0898134.329452e+02175.836249
    2016-02-21 20:00:00-07:0014.8500062.95447100000.0000000.000000e+000.000000
    2016-02-21 23:00:00-07:0011.9500121.99459300000.0000000.000000e+000.000000
    2016-02-22 02:00:00-07:009.7500001.06887800000.0000000.000000e+000.000000
    2016-02-22 05:00:00-07:008.2500001.34164100000.0000000.000000e+000.000000
    2016-02-22 08:00:00-07:0011.6499942.308679000062.0991593.375058e+02129.960394
    2016-02-22 11:00:00-07:0029.6499941.236932000095.6684958.874354e+02685.784413
    2016-02-22 14:00:00-07:0032.7500003.700000000096.2462568.988009e+02712.125335
    2016-02-22 17:00:00-07:0025.3500063.677635000069.5324744.393474e+02179.303854
    2016-02-22 20:00:00-07:0015.1499942.89841300000.0000000.000000e+000.000000
    2016-02-22 23:00:00-07:0012.4500121.91086400000.0000000.000000e+000.000000
    2016-02-23 02:00:00-07:0010.1499941.51822300000.0000000.000000e+000.000000
    2016-02-23 05:00:00-07:008.3500061.54496000000.0000000.000000e+000.000000
    2016-02-23 08:00:00-07:0011.7500002.505454000062.8034613.466306e+02133.920202
    2016-02-23 11:00:00-07:0030.6499941.005684130013129.3242227.229874e+02613.268135
    2016-02-23 14:00:00-07:0034.0500182.673668640064240.2758722.050236e+02381.593191
    2016-02-23 17:00:00-07:0025.9500123.101032740074103.6284922.342319e+00104.221391
    2016-02-23 20:00:00-07:0015.1499941.9524349200920.0000000.000000e+000.000000
    2016-02-23 23:00:00-07:0013.0500180.9604699600960.0000000.000000e+000.000000
    2016-02-24 02:00:00-07:0011.3500061.7426999800980.0000000.000000e+000.000000
    2016-02-24 05:00:00-07:0010.8500063.2010009900990.0000000.000000e+000.000000
    2016-02-24 08:00:00-07:0014.1499944.32453599009985.8411801.559579e-0785.841180
    2016-02-24 11:00:00-07:0030.3500063.630496970097275.3206294.935715e+00278.646228
    2016-02-24 14:00:00-07:0035.1499942.629448920092279.3880262.374437e+01295.850254
    2016-02-24 17:00:00-07:0027.3500062.839331920092105.1388622.715937e-02105.145825
    2016-02-24 20:00:00-07:0016.5500182.9371078700870.0000000.000000e+000.000000
    2016-02-24 23:00:00-07:0013.6499942.4400828300830.0000000.000000e+000.000000
    \n", + "
    " + ], + "text/plain": [ + " temperature wind_speed total_clouds low_clouds \\\n", + "2016-02-18 02:00:00-07:00 13.649994 3.678220 0 0 \n", + "2016-02-18 05:00:00-07:00 11.649994 2.452264 0 0 \n", + "2016-02-18 08:00:00-07:00 14.350006 3.644078 0 0 \n", + "2016-02-18 11:00:00-07:00 29.750000 5.171779 0 0 \n", + "2016-02-18 14:00:00-07:00 33.649994 6.112871 2 0 \n", + "2016-02-18 17:00:00-07:00 26.350006 5.179286 35 0 \n", + "2016-02-18 20:00:00-07:00 19.050018 3.219223 97 0 \n", + "2016-02-18 23:00:00-07:00 15.149994 1.597780 79 0 \n", + "2016-02-19 02:00:00-07:00 13.950012 1.608229 82 0 \n", + "2016-02-19 05:00:00-07:00 12.750000 3.015295 85 0 \n", + "2016-02-19 08:00:00-07:00 15.350006 4.012879 87 0 \n", + "2016-02-19 11:00:00-07:00 30.050018 4.684709 82 0 \n", + "2016-02-19 14:00:00-07:00 33.649994 4.200774 75 0 \n", + "2016-02-19 17:00:00-07:00 26.450012 4.280853 65 0 \n", + "2016-02-19 20:00:00-07:00 16.750000 2.785821 63 0 \n", + "2016-02-19 23:00:00-07:00 14.649994 1.071168 69 0 \n", + "2016-02-20 02:00:00-07:00 13.649994 1.108197 99 0 \n", + "2016-02-20 05:00:00-07:00 11.850006 1.955633 96 0 \n", + "2016-02-20 08:00:00-07:00 14.149994 2.432879 41 0 \n", + "2016-02-20 11:00:00-07:00 31.250000 0.785684 23 0 \n", + "2016-02-20 14:00:00-07:00 34.450012 2.048634 0 0 \n", + "2016-02-20 17:00:00-07:00 26.350006 4.164277 16 0 \n", + "2016-02-20 20:00:00-07:00 17.250000 3.263373 44 0 \n", + "2016-02-20 23:00:00-07:00 14.649994 1.855263 29 0 \n", + "2016-02-21 02:00:00-07:00 12.550018 1.508144 0 0 \n", + "2016-02-21 05:00:00-07:00 10.950012 1.518322 0 0 \n", + "2016-02-21 08:00:00-07:00 13.649994 0.646607 0 0 \n", + "2016-02-21 11:00:00-07:00 29.550018 1.569745 0 0 \n", + "2016-02-21 14:00:00-07:00 32.450012 4.133098 0 0 \n", + "2016-02-21 17:00:00-07:00 24.750000 4.993455 0 0 \n", + "2016-02-21 20:00:00-07:00 14.850006 2.954471 0 0 \n", + "2016-02-21 23:00:00-07:00 11.950012 1.994593 0 0 \n", + "2016-02-22 02:00:00-07:00 9.750000 1.068878 0 0 \n", + "2016-02-22 05:00:00-07:00 8.250000 1.341641 0 0 \n", + "2016-02-22 08:00:00-07:00 11.649994 2.308679 0 0 \n", + "2016-02-22 11:00:00-07:00 29.649994 1.236932 0 0 \n", + "2016-02-22 14:00:00-07:00 32.750000 3.700000 0 0 \n", + "2016-02-22 17:00:00-07:00 25.350006 3.677635 0 0 \n", + "2016-02-22 20:00:00-07:00 15.149994 2.898413 0 0 \n", + "2016-02-22 23:00:00-07:00 12.450012 1.910864 0 0 \n", + "2016-02-23 02:00:00-07:00 10.149994 1.518223 0 0 \n", + "2016-02-23 05:00:00-07:00 8.350006 1.544960 0 0 \n", + "2016-02-23 08:00:00-07:00 11.750000 2.505454 0 0 \n", + "2016-02-23 11:00:00-07:00 30.649994 1.005684 13 0 \n", + "2016-02-23 14:00:00-07:00 34.050018 2.673668 64 0 \n", + "2016-02-23 17:00:00-07:00 25.950012 3.101032 74 0 \n", + "2016-02-23 20:00:00-07:00 15.149994 1.952434 92 0 \n", + "2016-02-23 23:00:00-07:00 13.050018 0.960469 96 0 \n", + "2016-02-24 02:00:00-07:00 11.350006 1.742699 98 0 \n", + "2016-02-24 05:00:00-07:00 10.850006 3.201000 99 0 \n", + "2016-02-24 08:00:00-07:00 14.149994 4.324535 99 0 \n", + "2016-02-24 11:00:00-07:00 30.350006 3.630496 97 0 \n", + "2016-02-24 14:00:00-07:00 35.149994 2.629448 92 0 \n", + "2016-02-24 17:00:00-07:00 27.350006 2.839331 92 0 \n", + "2016-02-24 20:00:00-07:00 16.550018 2.937107 87 0 \n", + "2016-02-24 23:00:00-07:00 13.649994 2.440082 83 0 \n", + "\n", + " mid_clouds high_clouds dhi dni \\\n", + "2016-02-18 02:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-18 05:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-18 08:00:00-07:00 0 0 59.221272 3.013900e+02 \n", + "2016-02-18 11:00:00-07:00 0 0 95.147829 8.772437e+02 \n", + "2016-02-18 14:00:00-07:00 2 0 101.088350 8.632626e+02 \n", + "2016-02-18 17:00:00-07:00 35 27 92.133615 6.884327e+01 \n", + "2016-02-18 20:00:00-07:00 97 89 0.000000 0.000000e+00 \n", + "2016-02-18 23:00:00-07:00 66 74 0.000000 0.000000e+00 \n", + "2016-02-19 02:00:00-07:00 8 81 0.000000 0.000000e+00 \n", + "2016-02-19 05:00:00-07:00 9 84 0.000000 0.000000e+00 \n", + "2016-02-19 08:00:00-07:00 12 86 77.554618 8.415816e-03 \n", + "2016-02-19 11:00:00-07:00 6 81 254.899002 6.362399e+01 \n", + "2016-02-19 14:00:00-07:00 0 75 252.980769 1.140161e+02 \n", + "2016-02-19 17:00:00-07:00 0 65 97.984621 5.650927e+00 \n", + "2016-02-19 20:00:00-07:00 0 63 0.000000 0.000000e+00 \n", + "2016-02-19 23:00:00-07:00 0 69 0.000000 0.000000e+00 \n", + "2016-02-20 02:00:00-07:00 0 99 0.000000 0.000000e+00 \n", + "2016-02-20 05:00:00-07:00 0 96 0.000000 0.000000e+00 \n", + "2016-02-20 08:00:00-07:00 0 41 77.880173 2.218350e+01 \n", + "2016-02-20 11:00:00-07:00 0 23 152.412793 5.928149e+02 \n", + "2016-02-20 14:00:00-07:00 0 0 96.017849 8.943007e+02 \n", + "2016-02-20 17:00:00-07:00 0 16 84.395338 2.104956e+02 \n", + "2016-02-20 20:00:00-07:00 0 44 0.000000 0.000000e+00 \n", + "2016-02-20 23:00:00-07:00 0 29 0.000000 0.000000e+00 \n", + "2016-02-21 02:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-21 05:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-21 08:00:00-07:00 0 0 61.388133 3.284074e+02 \n", + "2016-02-21 11:00:00-07:00 0 0 95.539521 8.849063e+02 \n", + "2016-02-21 14:00:00-07:00 0 0 96.132785 8.965641e+02 \n", + "2016-02-21 17:00:00-07:00 0 0 69.089813 4.329452e+02 \n", + "2016-02-21 20:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-21 23:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-22 02:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-22 05:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-22 08:00:00-07:00 0 0 62.099159 3.375058e+02 \n", + "2016-02-22 11:00:00-07:00 0 0 95.668495 8.874354e+02 \n", + "2016-02-22 14:00:00-07:00 0 0 96.246256 8.988009e+02 \n", + "2016-02-22 17:00:00-07:00 0 0 69.532474 4.393474e+02 \n", + "2016-02-22 20:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-22 23:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-23 02:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-23 05:00:00-07:00 0 0 0.000000 0.000000e+00 \n", + "2016-02-23 08:00:00-07:00 0 0 62.803461 3.466306e+02 \n", + "2016-02-23 11:00:00-07:00 0 13 129.324222 7.229874e+02 \n", + "2016-02-23 14:00:00-07:00 0 64 240.275872 2.050236e+02 \n", + "2016-02-23 17:00:00-07:00 0 74 103.628492 2.342319e+00 \n", + "2016-02-23 20:00:00-07:00 0 92 0.000000 0.000000e+00 \n", + "2016-02-23 23:00:00-07:00 0 96 0.000000 0.000000e+00 \n", + "2016-02-24 02:00:00-07:00 0 98 0.000000 0.000000e+00 \n", + "2016-02-24 05:00:00-07:00 0 99 0.000000 0.000000e+00 \n", + "2016-02-24 08:00:00-07:00 0 99 85.841180 1.559579e-07 \n", + "2016-02-24 11:00:00-07:00 0 97 275.320629 4.935715e+00 \n", + "2016-02-24 14:00:00-07:00 0 92 279.388026 2.374437e+01 \n", + "2016-02-24 17:00:00-07:00 0 92 105.138862 2.715937e-02 \n", + "2016-02-24 20:00:00-07:00 0 87 0.000000 0.000000e+00 \n", + "2016-02-24 23:00:00-07:00 0 83 0.000000 0.000000e+00 \n", + "\n", + " ghi \n", + "2016-02-18 02:00:00-07:00 0.000000 \n", + "2016-02-18 05:00:00-07:00 0.000000 \n", + "2016-02-18 08:00:00-07:00 115.053768 \n", + "2016-02-18 11:00:00-07:00 663.238722 \n", + "2016-02-18 14:00:00-07:00 678.543892 \n", + "2016-02-18 17:00:00-07:00 108.420245 \n", + "2016-02-18 20:00:00-07:00 0.000000 \n", + "2016-02-18 23:00:00-07:00 0.000000 \n", + "2016-02-19 02:00:00-07:00 0.000000 \n", + "2016-02-19 05:00:00-07:00 0.000000 \n", + "2016-02-19 08:00:00-07:00 77.556209 \n", + "2016-02-19 11:00:00-07:00 296.375117 \n", + "2016-02-19 14:00:00-07:00 329.714581 \n", + "2016-02-19 17:00:00-07:00 99.340394 \n", + "2016-02-19 20:00:00-07:00 0.000000 \n", + "2016-02-19 23:00:00-07:00 0.000000 \n", + "2016-02-20 02:00:00-07:00 0.000000 \n", + "2016-02-20 05:00:00-07:00 0.000000 \n", + "2016-02-20 08:00:00-07:00 82.162429 \n", + "2016-02-20 11:00:00-07:00 541.435031 \n", + "2016-02-20 14:00:00-07:00 701.538997 \n", + "2016-02-20 17:00:00-07:00 135.598053 \n", + "2016-02-20 20:00:00-07:00 0.000000 \n", + "2016-02-20 23:00:00-07:00 0.000000 \n", + "2016-02-21 02:00:00-07:00 0.000000 \n", + "2016-02-21 05:00:00-07:00 0.000000 \n", + "2016-02-21 08:00:00-07:00 126.092093 \n", + "2016-02-21 11:00:00-07:00 680.097625 \n", + "2016-02-21 14:00:00-07:00 706.837239 \n", + "2016-02-21 17:00:00-07:00 175.836249 \n", + "2016-02-21 20:00:00-07:00 0.000000 \n", + "2016-02-21 23:00:00-07:00 0.000000 \n", + "2016-02-22 02:00:00-07:00 0.000000 \n", + "2016-02-22 05:00:00-07:00 0.000000 \n", + "2016-02-22 08:00:00-07:00 129.960394 \n", + "2016-02-22 11:00:00-07:00 685.784413 \n", + "2016-02-22 14:00:00-07:00 712.125335 \n", + "2016-02-22 17:00:00-07:00 179.303854 \n", + "2016-02-22 20:00:00-07:00 0.000000 \n", + "2016-02-22 23:00:00-07:00 0.000000 \n", + "2016-02-23 02:00:00-07:00 0.000000 \n", + "2016-02-23 05:00:00-07:00 0.000000 \n", + "2016-02-23 08:00:00-07:00 133.920202 \n", + "2016-02-23 11:00:00-07:00 613.268135 \n", + "2016-02-23 14:00:00-07:00 381.593191 \n", + "2016-02-23 17:00:00-07:00 104.221391 \n", + "2016-02-23 20:00:00-07:00 0.000000 \n", + "2016-02-23 23:00:00-07:00 0.000000 \n", + "2016-02-24 02:00:00-07:00 0.000000 \n", + "2016-02-24 05:00:00-07:00 0.000000 \n", + "2016-02-24 08:00:00-07:00 85.841180 \n", + "2016-02-24 11:00:00-07:00 278.646228 \n", + "2016-02-24 14:00:00-07:00 295.850254 \n", + "2016-02-24 17:00:00-07:00 105.145825 \n", + "2016-02-24 20:00:00-07:00 0.000000 \n", + "2016-02-24 23:00:00-07:00 0.000000 " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ - "## Instaniate NAM forecast model " + "## NAM" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": { "collapsed": false }, @@ -349,19 +1227,19 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, timerange)" + "data = fm.get_query_data(latitude, longitude, start, end)" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": { "collapsed": false, "scrolled": false @@ -370,18 +1248,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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tTz/9NFdeeSXFxcVMnDjxsN57ZoY80ogUj3DELPvVZp4lL9nLaIhVq23I1Dqj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\nKp1lWXjsscegqioefPBB3HnnnViwYAFM08TTTz+NW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8HtDrST/3PLIuvRx9cnKHjqfodKSeeRbJo8dg/78PqH3vXZo2b4KtW5h15gQW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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -399,7 +1277,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": { "collapsed": false }, @@ -407,18 +1285,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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pZnrq0IpIFmaGgDRi1PpogMOMyBxG41kk0nn4Ghxo8qtf68/SDmuatrSjra0N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\nD86cOUNiYiI9evSgoKCAOXPmEB0dzcmTJ8nNzcXW1hYvLy9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+ "image/png": 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ewTppIqK0UDTXsUPU4Z4flnbQpXIDhPTVZUYhCkIuK22x87ZgIP2Xf/mXOHny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\ny7vbTlJUWkdYkA+zL05LEFfHYvbk9ovvB29vzqHFJvvytld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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -431,18 +1309,546 @@ "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')" ] }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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    temperaturewind_speedtotal_cloudslow_cloudsmid_cloudshigh_cloudsdhidnighi
    2016-02-18 02:00:00-07:009.2555854.39239900000.0000000.0000000.000000
    2016-02-18 05:00:00-07:006.7576602.51540600000.0000000.0000000.000000
    2016-02-18 08:00:00-07:008.9024664.108572000059.221272301.390004115.053768
    2016-02-18 11:00:00-07:0030.1058045.10551310084120.703367745.701147603.609133
    2016-02-18 14:00:00-07:0034.6111766.3619018608628264.84180847.256142296.452492
    2016-02-18 17:00:00-07:0027.2974245.478108920902297.0188020.01130797.021477
    2016-02-18 20:00:00-07:0018.5922852.8972338608600.0000000.0000000.000000
    2016-02-18 23:00:00-07:0015.3080753.44380110001001000.0000000.0000000.000000
    2016-02-19 02:00:00-07:0013.9603273.56461398064960.0000000.0000000.000000
    2016-02-19 05:00:00-07:0012.3858343.4735631000541000.0000000.0000000.000000
    2016-02-19 08:00:00-07:0011.7866523.04155148004876.94981510.66877778.967415
    2016-02-19 11:00:00-07:0029.0978094.72928110002100267.3418360.000000267.341836
    2016-02-19 14:00:00-07:0033.0262154.49223110000100276.0009130.000000276.000913
    2016-02-19 17:00:00-07:0026.6814883.6343201000010098.3913530.00000098.391353
    2016-02-19 20:00:00-07:0016.8476874.8860041000161000.0000000.0000000.000000
    2016-02-19 23:00:00-07:0014.2020872.689680100001000.0000000.0000000.000000
    2016-02-20 02:00:00-07:0012.2696842.491931100001000.0000000.0000000.000000
    2016-02-20 05:00:00-07:008.8256842.8154582000200.0000000.0000000.000000
    2016-02-20 08:00:00-07:0011.2560122.849740000060.671013319.347225122.317136
    2016-02-20 11:00:00-07:0029.7216490.972782000095.409703882.363692674.442242
    2016-02-20 14:00:00-07:0033.9986272.179331000096.017849894.300691701.538997
    2016-02-20 17:00:00-07:0026.4615784.69122316001684.395338210.495623135.598053
    2016-02-20 20:00:00-07:0016.5235295.1332981200120.0000000.0000000.000000
    2016-02-20 23:00:00-07:0011.6603702.38714900000.0000000.0000000.000000
    2016-02-21 02:00:00-07:009.0412292.88852100000.0000000.0000000.000000
    2016-02-21 05:00:00-07:007.2757873.44124000000.0000000.0000000.000000
    2016-02-21 08:00:00-07:009.8766172.717830000061.388133328.407390126.092093
    2016-02-21 11:00:00-07:0029.7038881.298350000095.539521884.906336680.097625
    2016-02-21 14:00:00-07:0034.3161322.881477000096.132785896.564050706.837239
    2016-02-21 17:00:00-07:0026.6937876.296557000069.089813432.945232175.836249
    2016-02-21 20:00:00-07:0014.7680365.60141000000.0000000.0000000.000000
    2016-02-21 23:00:00-07:0010.3353582.20464900000.0000000.0000000.000000
    \n", + "
    " + ], + "text/plain": [ + " temperature wind_speed total_clouds low_clouds \\\n", + "2016-02-18 02:00:00-07:00 9.255585 4.392399 0 0 \n", + "2016-02-18 05:00:00-07:00 6.757660 2.515406 0 0 \n", + "2016-02-18 08:00:00-07:00 8.902466 4.108572 0 0 \n", + "2016-02-18 11:00:00-07:00 30.105804 5.105513 10 0 \n", + "2016-02-18 14:00:00-07:00 34.611176 6.361901 86 0 \n", + "2016-02-18 17:00:00-07:00 27.297424 5.478108 92 0 \n", + "2016-02-18 20:00:00-07:00 18.592285 2.897233 86 0 \n", + "2016-02-18 23:00:00-07:00 15.308075 3.443801 100 0 \n", + "2016-02-19 02:00:00-07:00 13.960327 3.564613 98 0 \n", + "2016-02-19 05:00:00-07:00 12.385834 3.473563 100 0 \n", + "2016-02-19 08:00:00-07:00 11.786652 3.041551 48 0 \n", + "2016-02-19 11:00:00-07:00 29.097809 4.729281 100 0 \n", + "2016-02-19 14:00:00-07:00 33.026215 4.492231 100 0 \n", + "2016-02-19 17:00:00-07:00 26.681488 3.634320 100 0 \n", + "2016-02-19 20:00:00-07:00 16.847687 4.886004 100 0 \n", + "2016-02-19 23:00:00-07:00 14.202087 2.689680 100 0 \n", + "2016-02-20 02:00:00-07:00 12.269684 2.491931 100 0 \n", + "2016-02-20 05:00:00-07:00 8.825684 2.815458 20 0 \n", + "2016-02-20 08:00:00-07:00 11.256012 2.849740 0 0 \n", + "2016-02-20 11:00:00-07:00 29.721649 0.972782 0 0 \n", + "2016-02-20 14:00:00-07:00 33.998627 2.179331 0 0 \n", + "2016-02-20 17:00:00-07:00 26.461578 4.691223 16 0 \n", + "2016-02-20 20:00:00-07:00 16.523529 5.133298 12 0 \n", + "2016-02-20 23:00:00-07:00 11.660370 2.387149 0 0 \n", + "2016-02-21 02:00:00-07:00 9.041229 2.888521 0 0 \n", + "2016-02-21 05:00:00-07:00 7.275787 3.441240 0 0 \n", + "2016-02-21 08:00:00-07:00 9.876617 2.717830 0 0 \n", + "2016-02-21 11:00:00-07:00 29.703888 1.298350 0 0 \n", + "2016-02-21 14:00:00-07:00 34.316132 2.881477 0 0 \n", + "2016-02-21 17:00:00-07:00 26.693787 6.296557 0 0 \n", + "2016-02-21 20:00:00-07:00 14.768036 5.601410 0 0 \n", + "2016-02-21 23:00:00-07:00 10.335358 2.204649 0 0 \n", + "\n", + " mid_clouds high_clouds dhi dni \\\n", + "2016-02-18 02:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 05:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 08:00:00-07:00 0 0 59.221272 301.390004 \n", + "2016-02-18 11:00:00-07:00 8 4 120.703367 745.701147 \n", + "2016-02-18 14:00:00-07:00 86 28 264.841808 47.256142 \n", + "2016-02-18 17:00:00-07:00 90 22 97.018802 0.011307 \n", + "2016-02-18 20:00:00-07:00 86 0 0.000000 0.000000 \n", + "2016-02-18 23:00:00-07:00 100 100 0.000000 0.000000 \n", + "2016-02-19 02:00:00-07:00 64 96 0.000000 0.000000 \n", + "2016-02-19 05:00:00-07:00 54 100 0.000000 0.000000 \n", + "2016-02-19 08:00:00-07:00 0 48 76.949815 10.668777 \n", + "2016-02-19 11:00:00-07:00 2 100 267.341836 0.000000 \n", + "2016-02-19 14:00:00-07:00 0 100 276.000913 0.000000 \n", + "2016-02-19 17:00:00-07:00 0 100 98.391353 0.000000 \n", + "2016-02-19 20:00:00-07:00 16 100 0.000000 0.000000 \n", + "2016-02-19 23:00:00-07:00 0 100 0.000000 0.000000 \n", + "2016-02-20 02:00:00-07:00 0 100 0.000000 0.000000 \n", + "2016-02-20 05:00:00-07:00 0 20 0.000000 0.000000 \n", + "2016-02-20 08:00:00-07:00 0 0 60.671013 319.347225 \n", + "2016-02-20 11:00:00-07:00 0 0 95.409703 882.363692 \n", + "2016-02-20 14:00:00-07:00 0 0 96.017849 894.300691 \n", + "2016-02-20 17:00:00-07:00 0 16 84.395338 210.495623 \n", + "2016-02-20 20:00:00-07:00 0 12 0.000000 0.000000 \n", + "2016-02-20 23:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-21 02:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-21 05:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-21 08:00:00-07:00 0 0 61.388133 328.407390 \n", + "2016-02-21 11:00:00-07:00 0 0 95.539521 884.906336 \n", + "2016-02-21 14:00:00-07:00 0 0 96.132785 896.564050 \n", + "2016-02-21 17:00:00-07:00 0 0 69.089813 432.945232 \n", + "2016-02-21 20:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-21 23:00:00-07:00 0 0 0.000000 0.000000 \n", + "\n", + " ghi \n", + "2016-02-18 02:00:00-07:00 0.000000 \n", + "2016-02-18 05:00:00-07:00 0.000000 \n", + "2016-02-18 08:00:00-07:00 115.053768 \n", + "2016-02-18 11:00:00-07:00 603.609133 \n", + "2016-02-18 14:00:00-07:00 296.452492 \n", + "2016-02-18 17:00:00-07:00 97.021477 \n", + "2016-02-18 20:00:00-07:00 0.000000 \n", + "2016-02-18 23:00:00-07:00 0.000000 \n", + "2016-02-19 02:00:00-07:00 0.000000 \n", + "2016-02-19 05:00:00-07:00 0.000000 \n", + "2016-02-19 08:00:00-07:00 78.967415 \n", + "2016-02-19 11:00:00-07:00 267.341836 \n", + "2016-02-19 14:00:00-07:00 276.000913 \n", + "2016-02-19 17:00:00-07:00 98.391353 \n", + "2016-02-19 20:00:00-07:00 0.000000 \n", + "2016-02-19 23:00:00-07:00 0.000000 \n", + "2016-02-20 02:00:00-07:00 0.000000 \n", + "2016-02-20 05:00:00-07:00 0.000000 \n", + "2016-02-20 08:00:00-07:00 122.317136 \n", + "2016-02-20 11:00:00-07:00 674.442242 \n", + "2016-02-20 14:00:00-07:00 701.538997 \n", + "2016-02-20 17:00:00-07:00 135.598053 \n", + "2016-02-20 20:00:00-07:00 0.000000 \n", + "2016-02-20 23:00:00-07:00 0.000000 \n", + "2016-02-21 02:00:00-07:00 0.000000 \n", + "2016-02-21 05:00:00-07:00 0.000000 \n", + "2016-02-21 08:00:00-07:00 126.092093 \n", + "2016-02-21 11:00:00-07:00 680.097625 \n", + "2016-02-21 14:00:00-07:00 706.837239 \n", + "2016-02-21 17:00:00-07:00 175.836249 \n", + "2016-02-21 20:00:00-07:00 0.000000 \n", + "2016-02-21 23:00:00-07:00 0.000000 " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ - "## Instantiate NDFD forecast model " + "## NDFD" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": { "collapsed": true }, @@ -453,19 +1859,19 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, timerange)" + "data = fm.get_query_data(latitude, longitude, start, end)" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": { "collapsed": true }, @@ -478,7 +1884,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": { "collapsed": false }, @@ -489,15 +1895,15 @@ "(0, 100)" ] }, - "execution_count": 20, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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fSzQUgMiSfclluacc7t8nx7atZscBcJrt9xPyvD1XkpTR60GT0wB/ltH19FZ4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\n8ePHOXLkCCaTif379//lPgwYMKDLY2dn5y6P29v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k8XjUp08ftW/fXsOHD5fD4VCTJk00ZsyYoO0LsAq3dSCSmalpOjLzPSXeNVAxc95R8nVX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\nkSNq0aKF2rVrp7Zt26pv375heSLacW6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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -514,7 +1920,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": { "collapsed": false }, @@ -522,18 +1928,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 21, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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CK80psAnwUP5GjfF0vBittBT7rLdVxxGiQuSoufBivjUyLS2NnTt3cuWVV5KX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\nDibjscFkPD4kd5jYOVgSEwgfOojAZUsByOreE9dzL2CEnf9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TGxtLWFgYqamphIeH06xZ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Ok/DUoiGJzhktmo8xnCTxqGiWmHEvXYIVChFq2w47u4bpOEnLrl+f0PHdsIJB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\nJkygTZs2lCpVikuXLmGxWFSO+s5oMWetjnGt5g3aHOegzby1OM61mHM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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -548,7 +1954,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": { "collapsed": false, "scrolled": false @@ -557,18 +1963,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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/EmnSNOPfeskEmlghIiLJFl857p7Zm/GgBivHXq+Xk046ia5duzJ48GA2btyI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\nkffogzQ/6hByXpwK4XDyM2S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Oa/zjd8L698aQl4er32O4ho4otWNXZMVvEIKW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\nmF5cCqlf/ZL61T+pX/0K5Pqt8N+Vhw8f5rnnnmPx4sUkJydz9uxZ7rn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rMhr5NUMuJR89CoDbK0Tyd+4CAFD2sxeyXcS+/gpiPv7Q+AuH+L3tHTAIJS+9\nZp2DamYrLw+uzHrGi52edzGejImIf/65ykJe16Pna0MUJsF3kdIz/qvjk1lqLZBff/11AEBhYSEO\nHTqEfv36QZZlbNu2DV27dsXChQvDEtJunBvXI+aTf5t2fSPXerWUFHjGjTfwilQX/jbtoDscUA7/\nCJSXA7GxoiNRbUpLEf/ibEhutymXD+V727Hre5RPfgD+Hj1NyWA16uoVkMrL4b2iL7TmLUTHuSBf\nr97BjjSOnd/AdzknxhIZKfAukjuMC3q1/jyeP38+AOD+++/H3Llz0a5dOwDAkSNHMHPmTPPT2VSg\nHVH5pLtQfv+Dhl67ceN4FBSUGnY9rWVL6CmNDLse1ZHTCX+79nDk7YNyYH/UFD12pa5cDsnthrd3\nHxS//pah1w7lezvulRcR8/kncGUvQlmU/F1Rs8J7MKdeJAmeCRMRO+9dqFmLWCATGUg6WwDnxvXQ\nHQ54x6aH7b4hLUYePXo0WBwDQMuWLXG06u15+m/BVzo3/cL4gictEf4obDgeyfydOlcWyHn7WCBb\nXHAv7FXXCPnedl//c8R8/gnU7MUo+92jxt7finQ97CfX68uTkVlZIC9ZjLJHp4mOQxQx1NylkPx+\neEaOgZ6YFLb7hlQg9+zZE1OnTsWVV14JTdPw1VdfYcAAzp2/EGX/Pjj27YWWnALvoCGi45AN+DtW\ndbLgPmRr07TgwVa3oMNintFjoasqHFs2QTp9GnqTJkJyhIuy81sox47C36y55VdlPSNGQ4+JgXPb\nVkgnTkBv1kx0JKKIUP0iOTOs9w2pi8Wzzz6Lbt26YeHChfjoo4/Qp08fPPXUU2Zns6XgRvJx6YDT\nKTgN2UGg1ZuDrd4szfHNdignjsPfshX8PXuJCZGQAO/wkZB0HerSLDEZwshVs0+71aewxsVVtqED\n4IqCrw1RWPh8UHOWAghfe7eAkH7iqKqKjIwM3HrrrZg7dy7Gjh0LB9uCXVCwdRon01GIgr2Q87iC\nbGXnTZ0U2KUgcEjFtSTyi7DgypFNfp4GcrLdG5ExnBvXQy4qhK9LV2gdO4X13iEVyP/5z3/w4IMP\n4rnnnkNRURFuvfVWfP7552Znsx3pXBGc69ZAl2V40jkVjULDVm/2EHzxmym2WAsUYc5lOYDHIzSL\nmaSTJ+HcugW6ywXPyNGi44TEM6HyLWB1xTKgokJwGiL7O29hIsxCKpD/9re/4YMPPkB8fDxSU1Px\n6aef4p1vxkkDAAAgAElEQVR33jE7m+2oy3Ig+XzwDhoCvVFj0XHIJrRmzaHHxUMuKIBUcEZ0HLoA\n+fgxOHdsgx4bK3zUsda2HXyX9YBcUgznujVCs5gpsE3BM3I0EB8vOE1otJat4O3VG1JZKZxrV4mO\nQ2R7Ig/phlQgy7KMhISE4P9u2rQpZKvvBxNA5CsdsjFJgi+wzWI/J+pZUXD1eNQYS/SqDr6VvyRy\n38q368/TwC9yF7dZEDWIvD8Pjr17hDU9CKnK7dKlC9577z34fD7s2rULTz75JLp37252Nnvx+6Hm\nZAMAPJnWHIdK1lU9cprbLKzIanthA100XFmLKie3RRq3G+ryXADV2xbsIlAgq0uyIvNrQxQmrsDP\n3fTxgIBzbyEVyDNnzsSJEyfgcrkwY8YMJCQksIvFTzi2bIZcUAB/u/bwd+kqOg7ZDFu9WVh5eeWe\nUlinWPP1HwCtcWMoB/Oh7N0jOo7hnGtXQyorha/n5dBatxEdp058ffpBS2sK5cdDUHbvEh2HyLbU\nbLFND0IqyePi4vDggw/i6quvRteuXVFRUYG4uDizs9lKoB2RO0PsCXeyp+pWbyyQrUZds7Jy1HHv\nPtBatBQdp5KiwJOegZh/L4SavRjlXbuJTmSo6p+n1nhBUieyDPeETMQumA81exHKL+shOhGR7VQ2\nPVgNXVHgGTdeSIaQVpDXrVuH6667Dr/5zW9w5swZjBs3DqtXrzY7m61UbyTn9gqqu2AnC26xsJzq\nvbDWKtbcVVu5Im4fsq7bvl1mIDf3IRPVj3N5rvCmByEVyH/5y1+wYMECJCUlIS0tDe+99x5eeOEF\ns7PZhnzoIBy7vocWnwDv0OGi45AN+av6OyoH8gBNE5yGgmoWaxY7W+AdMw66wwHnxvWQzhaIjmMY\n5YfdUA4dhNakCXz97DmxNTjxcPNGSGfYmYaorlwWOKQbUoGsaRrS0tKC/7tz586mBbKjwAqOd2w6\noKqC05Ad6ckp0JqkQSovh3zsqOg4VEX5bieUI4fhb9oMvt59RMc5j56UDO/Q4ZD8fqi5S0XHMYwa\nmJ43PtP60/MuJsomHhIZyiJND0L66dO8eXMsW7YMkiTh3LlzeOutt9CypUX24llA4JWOW0CfPooc\nnKhnPcFT1BOsWaxVd0yInLfygz9Pbbq9IsBds5sFEYXMsWUz5DNn4G/fIbj9UISQfuLPmjULX375\nJY4dO4YJEyZg165dmDVrltnZ7KGkBM41q6BLEjzpGaLTkI35WCBbjtV78QaKSDVnKeD1Ck7TcNKZ\nM3Bs3gjd6YR37DjRcRok2Ks6wiceEhktsDAhuulBSF0sUlNT8cILL2D37t1wOBzo1q0bJHZqAACo\nK5dD8njg7T8Qeo1tKER1xVZv1iKdOgXH1s2Vo45HjREd54K0jp3g69wFjn174dy0Ad5hI0RHahA1\ndwkkTYNn5GjoCYmi4zRIYOKhY9f3cG5YB69NxmUTiWaVhYmQVpDXrFmDMWPGYObMmZg2bRrS09Px\nzTffmJ3NFoL75Sx2gIfsJ7jFYt9ewUkIANScbEi6Du/wkUCNSaJWE+ico0ZAx4TgL8YI2a4WXEWu\n+j1BRLWTfzwEx67voCUkCm96EFKBPGfOHPz973/HJ598gs8++wyvvfYann76aZOj2YCmwVW1v8zu\n++VIvMBeKwe3WFiCXfbCBvch270I83qDhw2t/t88VIHniNiJh0QGC7xItkLTg5AKZFVVzxstffnl\nl5sWyE4cO7ZBPnUS/lat4e/RU3Qcsjl/+w7QJQnyoYPcsyia2w3nshwA1l/N9A4cDC05BY59e229\nPce5YR3k4nPwdesOrX0H0XEM4RswsHLiYf4Bni0gCkFw/7EF+s6HVCD37t0bTzzxBHbs2IGdO3fi\n+eefR6tWrbBp0yZs2rTJ7IyWpWZVba/g9DwygssFrU07SJoG5WC+6DRRzbluDeTSEvgu6wmtTVvR\ncWrndMKTXjlpys4dE4I/TyNk9RhAcOIhUP18RHQRJSVwrl5Z2fRgvE0K5Ly8PBw6dAgvvfQSnn/+\neezcuROFhYV4/fXX8cYbb5id0bKCAwQsvsJE9uHvVDUwhKtNQlVPxrTH93b1Xlf77kNWgyfXI+s8\nRyS24iMyQ6Dpga//QOhNmoiOE1oXi/nz55udw3bkY0fh/HYH9Lg4eIaPEh2HIoSvU2eoy3JYIIuk\n63Bl2au3uWfceOiyDOe6NZDOFUFPShYdqU6UvL1w7M+D1qgRfAMGio5jKM/Y9MqJhxvWQSo8Cz2l\nkehIRJZktYWJWleQNU3De++9hz179gAA5s2bh2uvvRZTp05FSUlJWAJaVfC09agxQEyM2DAUMaqH\nhbCThSjKnh+gHMqHlppqm1HHeqPG8A4aAsnng3N5rug4daZWvSDxjJsAOEJat7GNSJ14SGQoTasx\ndM0a7yLVWiC//PLLWLNmDeLi4rBlyxa89tprmD59Onr06IFnn302XBktqfqVjjW+kBQZgr2QuYIs\nTPDFb3oGoCiC04Qu8LPIZcO9rsGfpxHaLtNTdeDIzltgiMwUbHrQug38l/UQHQfAJQrklStX4o03\n3kDr1q2xePFiZGZmYtiwYfjlL3+JHTt2hCuj9ZSVQV25HADgGc/peWScQKs3FsjiuKrapdlle0VA\ncK9rTjbg9wtOUweFhXCuXwtdUeAZmy46jSmCX5vcJYDPJzgNkfVUDwfJtEzTg1oLZFmW4ah6u2vj\nxo0YMaJ6SpOmaeYmszB1zUpIFRXwXtEXWvMWouNQBNFatYbuckE5eQI4d050nKgjFZyBY9MG6A5H\nZR9OG/F36Qp/u/aQCwrg2LJZdJzQZWVB8vvhHTIMenKK6DSm8HfsDF/nLpALC+HcvFF0HCLLCTQ9\ncFvoXaRaC+TY2FgcPXoUe/fuRV5eHoYNGwYA2L17NxIsPFnKbMH9cjZbYSIbkGX4O1Z2ssBe7kMO\nNzV3KSRNg3foCOiJSaLj1I0kBX+5uOw0NOTLLwFE/na1YKcRG26BITKTfOwonN9shx4XB++wkaLj\nBNVaIP/+97/HL37xC9xyyy347W9/i5SUFCxYsACTJ0/GlClTwpXRWnTdcictKbIE9iGj6nAshU9w\ndHyG+B6c9REswuzSUsznAxbZ+795qNjujejCgi1zR421VNODWo8LDx48GDk5OaioqEBSUuVqSs+e\nPfH++++jffv24chnOcrOb6EcOwp/s+bwXX6F6DgUgQKdLLBnDzBebJao4vVCza2cnmeVU9R15R06\nHFpCIhy7vod86CC0tu1ER6qVY/MmoKAAvo6d4O/URXQcU3kHDYGWlAzHnh+AvDwgqanoSESWYNVF\nx0sOClFVNVgcA8AVV1xR5+L4zJkzGDNmDA4cOFDngFbjyq4xPU8Oac4KUZ34AgXyDz+IDRJlnBvX\nQz5XBF+XrtA6dBQdp35UNbh32g4rldU/T+35gqROakw8xFdfic1CZBXl5dVNDywwXrom0ys8n8+H\np556CjEWWjZviOArnUgah0qWElxJ4xaLsKo+RW3v72131S8Zlw1aill15cgswb9bLJCJAADq6hWQ\nysvh7dMXWrPmouOcx/SO7M8//zxuu+02vP3222bfynTSyZNwbt0C3eWCZ+Ro0XEoQp23xULXLdPy\nJhzkHw8BO47BWVgW9nu7FlUWLXYv1jzpGdAlCc41q4CSEsCiB6rl/ANw/LAbSE6Gd/BQ0XHCIjDx\nUFqxAlLxOfsdBCUymJpdtf/YggsTtRbIn332Wa2ffP3119f655988glSU1MxfPhw/PWvf617Ootx\nLa36Qo4cDcTHC05DkUpv3BhaSgrkwkLIR49Aa9VadKSwkArPotHooUBJMUQ1+9KSU+AdNETQ3Y2h\np6XB138gnJs3Ql2xDJ6rrxUd6YJcgS0gEycCTqfYMGGiN06Fd9AQqOvXwrk8F55ra/8dShTRajY9\nsFB7t4BaC+QNGzYAAA4dOoSDBw9i9OjRUBQFq1evRufOnUMqkCVJwpo1a7B7925MnToVb731FlJT\nUy/48Y0axcHhCH1yVVpaYsgfa4gVlWNCXTdcF/571yDy3qJE3TOPGAF89RVSN68B+twnOk14LP0K\nKCkGmjcHevYM//0lCfJddyGtRaPw37uKYX/Pb7gO2LwRyatygLtvN+aaRlteNXb56quj6/v7huuA\n9WuRvDIHuPdO0WnCLqq+1jXwuS9g+3bg6BGgRQs0GjfCcu+W1logz5kzBwBw55134osvvkDjxo0B\nAEVFRXjooYcuefH33nsv+M933nknZs2addHiGADOng39bdW0tEScOlUc8sc3mNuNJlnZkACcGToG\nWjjvXUPYn9sCovGZY0aPR+JXX8H98Wc4d90vRMcJi8T/9yliAODxx3HqDoEvCiLge1sZNhaNAWhf\nfoUzJ4osd6BYKilG6vLlgCxDuuqqqPr+Dn5tvv4aZ44X2mqceUNF489ygM99MXEffox4AOXjM1Fy\nuiR8wWqorYAP6afmyZMnkZJS/aZnbGwsTp06VacQksVeGdSVc+1qSGWl8PW8HFrrNqLjUIQL9kxd\nuQyoqBCcJgx8vsoxvABwzTVis0QAf4+e8LduA/nUSTh2bBMd5784l+VC8nrhGzgYqGXRJBL5u3YD\nOnaEfPo0HFttNPGQyGDVh3Stt70CCLFAHjNmDO655x68//77mD9/Pu655x5ceWXdHmjevHno0KFD\nvUJaQaAdkTvCm9mTNWgtWgJ9+0IqK4O6ZqXoOKZzbtoAubCwssVdl8juhxsWkhRsmWTFyW2B/cdu\nCx7MMZ0kBV8EBgYkEEUb6eRJOLZugR4TY9mmByEVyNOnT8ftt9+O/fv34+DBg7j33nvxu9/9zuxs\n1qHr1ZNeovEHOokR+CVqg3ZdDRVssWbRlQQ7qp7cZrEiTNOgBg4827xjSL1VfW/boRUfkRnUnGxI\nug7PiFFAXJzoOBcU8sa0jh074sorr0RmZiaSkpKwadMmM3NZivLDbiiHDkJr0gS+fgNEx6FocW1l\n9wF1SVZlu7cIFm39cMPBM3wU9Lg4OL/dAfnYUdFxghzbtkA+fRr+tu3h79ZddBwxRo+GFp8Ax/c7\nK1sbEkUZlw0WRULqg/ynP/0Jy5YtQ5s21XtvJUnCvHnzTAtmJWpg2tP4TMsddqEI1r8/tLSmUA7/\nCOX77+Dv2Ut0IlPIB/bDsecHaEnJtm+xZikxMfCMGgvX4q+hZi9GxS/vFZ0IQPXPU3dGpuVOrYdN\n1cRD11efQ12ShYp77xediCh83G44l+cCsN70vJpCKpDXrFmDxYsXR8w0vLoKvNKJyv1yJI4swz0h\nE7EL5sO1ZDHKIrRADuxH9aSPj5p+uOHiyZhYWSAvsU6B7LLwYIBwcmdMrCqQF7NApqjiXLsacmlJ\nZdMDC/f5D2k5tE2bNtAj/C3ei5HOnIFj80boTie8Y8aKjkNRJlBERPI+ZCtPUrK74EG9lcuBsvBP\nJ/wp+chhOL77Flp8ArzDRoiOI1Rg4qG6eiVQWio6DlHYBLbUWb3pQUgryMnJybj66qvRt29fqKoa\n/PeBPsmRTM1dAknT4Bk5mmNBKew8o8dCV1U4tmyCdOoU9LQ00ZEMJRWfg3PdauiyDM+48aLjRByt\nWXN4+/SFc/s2qGtWCn8REnih5x0zDnC5hGYRTU9Lg6/fADi3bIK6cjk8V14tOhKR+XTdFvuPgRBX\nkEeOHInf/va3GDFiBAYNGhT8v2hQfbqeq1skQEICvMNHQtJ1qDnZotMYzrm8uh+u3ji6+uGGS/Bd\niCzx70JUrxzx5ylQs9OI+K8NUTic1/Sgb3/RcWpVa4EcGAYyePDgC/5fxPN6oeZWjkPl/mMSJVBM\nuKzWrssAwf39Fl9JsLPzijCRW+VKS6GuWgFdkuBJzxCXw0LcNbdQaZrgNETmCy462qDpQa1bLP74\nxz/i7bffxh133AFJkqDr+nn/PycnJ1w5hXBuWAe5+Bx83bpDa2/fISdkb54JE4Hpj8G5LAfweIAa\n25xsze8ProrzHRrz+Hr3gb95CyjHjkLZ+S38l/cWkkNdtQKS2w1v/wHQmzYVksFq/D17wd+qNZQj\nh+H4Zjt8ffqJjkRkquqha9ZfFKm1QJ45cyYAIDc3NyxhrCYwgUr0vj2KblrbdvBd1gOOXd/DuW4N\nvKMj47CoY+vm6n64XbuJjhO5qqbqxc7/J1zZi1AmqkAOdCvhz9Nqga/NP/8BNXsxC2SKaHZrelDr\n+vatt96KzMxMzJo1Czk5OSgpKQlXLkvg8AKyiuA+0gjaqxiY8ObOnBi9/XDDRPjfH10PvrXK7Wrn\nC26BieBONURAddMD77AR0BMSRce5pFoL5FWrVuFvf/sbevXqhaVLl+Lmm2/G7bffjrlz52L79u3h\nyiiEkrcXjv150Bo1gndAdBxIJOsKvB3lyloUMVP1gieZWTCZzjNqDPSYGDi3boF08mTY7+/4ZjuU\nE8fhb9kK/l6Xh/3+VuYZMbpy4uE32y018ZDIaMFDupnW314BhNDFom3btrjxxhsxZ84cfPjhh7j5\n5puRlZWFO+64Ixz5hAn2Zh03AXCE1A2PyDS+/gOgNW4M5WA+lL17RMdpMPnwj3B8v7OyH+7Q4aLj\nRL64OHhGjAIAId1Q1JovhvhuwfliYuAZNQYAoC6NvE41RACqmh5UnlvzjLd2/+OAWgtkn8+HDRs2\n4KWXXsL111+PW265Bd9++y2mTJmC9evXhyujEMHx0txeQVagKMGT/5HwViz74YZfYKXeVXW2Ipyq\nt6vZ4xdjuFUPBAr/14YoHJwb1kE+V2Srpge1Lo0OHDgQffv2xcSJEzF37ly0bm3dkYBGkooK4Vy/\nFrqicHgBWYY780rE/Hsh1CWLUf7wFNFxGsRub7VFAk/GRGDqH6AuzwXc7rC9MJGPH4Nz+zbosbHw\njBgdlnvazXkTD8vLgdhYsYGIDKbacEvdJQ/pFRQU4OOPP8Ynn3yCLVu2QIuCXo3qshxIfj+8Q4ZB\nT04RHYcIQOVqq+5wwLlxPaSzBaLj1F9pKdTVKyv74Y6bIDpN1NBatYav5+WQykrhXLs6bPcNbBvw\njBrDwu8itOYt4L2iL6TycqhrVoqOQ2Q41Ubt3QJqLZCnTp2Kzz77DK+//jpat26N999/H5mZmXjo\noYfwwQcfhCtj2LG9G1mRnpQM79DhkPz+4AAbO1JXLofkdsPXrz/74YaZu2qLgyuMb+XbceVIhOAq\nsgUmHhIZqWbTA9+AgaLjhCykMSbNmjXDNddcg0mTJuGWW27BwYMH8eabb5qdTQyfD2ruEgDcf0zW\nE/wlauN2b9X7Ue2zkhApqtu9ZYWnG0pFBdSVy6ruzf3HtbHMxEMig9m16UGtSZcuXYpt27Zhy5Yt\nOHz4MK644goMHToUr7zyCrp06RKujGHl2LwJ8tmz8HXsBH/nyHxGsi93xpVImDkDas5SwOez1Q8b\nAICmVfc/5opi2Pn6DYDWpAmUQweh/LAb/u6XmXo/dc1KSGVl8PbuA61FS1PvZXe+3n3gb9YcytEj\nUL7byXZ4FDGCTQ9sduak1hXkBQsWIDk5GTNmzMDKlSvx5ptv4o477ojY4hiofuuRbweSFWkdO8HX\nuQvkokI4N9qvk8x5/XB79hIdJ/rIcrDFUjg6JlRvr+Dq8SXJcvC/Uzi3wBCZ6bymB2PTRcepk1oL\n5HfffRe/+tWv0Lt3b8hySLsxbI/T88jqqltC2W+bBfvhihdYuXeZ/fenxvQ8/jwNjfCJh0QGs3PT\ng+ioekMk5x+A44fd0BKT4B0yTHQcogsKvE1lx1+ige0VnkwWTKJ4x46D7nTCsXkjpDNnTLuP8v13\nUI4chr9pM/iu6GvafSKJZ9QY6C4XHIImHhIZLdj0wIZnTlgg16AuDWwkHw84nYLTEF2Yd+BgaMkp\ncOzdA3l/nug4IZOPH4NzR1U/3OGjRMeJWnpCIrzDRkDStOCBZDO4ltTYXhEl70A2WHw8PCNGQdJ1\nIRMPiQx1XtMD+22z4k+tGlzB9m72+0JSFHE64RlXuZfLZaNV5ODqMfvhChfsmGDiNgu2y6wfT7i2\nwBCZbf366qYHnex3do0FchWppBjOtauhy3JwpC+RVQXergq0z7EDtnezjsA+ZDV3KeD1Gn596dQp\nOLZuhu5yVb4gopAFXrw4AxMPiezqq68A2PdFMgvkKs7lyyB5vfANGAQ9NVV0HKJaecaNhy7LcK5b\nDelckeg4l1ZeXjlGF4BnPF+Aiqa17wBft+6Qi8/BuWGd4ddXc7Ih6Tq8w0cCCQmGXz+Saa3bwNej\nF+TSkrBOPCQy3JdfArBfe7cAFshVXMExiPZ8pUPRRW/UGN5BQyD5fJUrTRbHfrjWE+yYkGV8SzEX\ne103iDuD3SzI3uT8A8D331c2PRg8VHScemGBDFQOLwgc0OMPdLIJO+1VZLsv6/GYVYR5PHAuyznv\nHlQ31f2QwzTxkMhgkdD0gAUyAMe2LZBPn4a/bTvTJ0sRGSXY7i0nG/D7Baepha5XH9BjwWQZ3gGD\noDVqBMf+PCh5ew27rnPdGsglxfBd1hNam7aGXTeaVE88zIfyw27RcYjqLNj0wMY/8y01pzbpnjsA\nd0VoH6w6kOTxGXJf5fCPAKpetXN4AdmEv0tX+Nu1h3IwH47Nm+AbPMSQ68a+8Sqc64zb+yh5vNX9\ncHv3Mey61EAOBzzjJiDm44+QeP890Jo3N+SySv4BAPb+xSicosCTnoGYDxdAzV6E8ihauFG+/w7x\nL8wGPGIOKOqJiSi/79fwDRws5P6RIND0ALIMz7gJouPUm6UKZNfXX9Tt4w2+v/tnNxh8RSITSRLc\nV16DuL/ORdxrL+Hc+/9u8As85/JcJDwz06CA5/Ncex374VqM+2c3IObjj+Dc+Q2w8xtjr33Nzwy9\nXrRxX3kNYj5cgNi/v42Ke++HnpAoOpL5fD4kPfQrOL77VmiMmE8/RsXPbkDpH5+G1r6D0Cx2FGh6\ngOHDbd30wFIFcuH/+wJSiCvIyclxKCoqM+zeWpM0+Pr2N+x6ROFQ9vDvELNgPlxLs6FmL27YaWGP\nBwkzHqu87v2/hnfMOINSArpTte1BjUjmmXgVzn61BHLRWUOvqzVvAd/lVxh6zWjjmXgVvP36w7l1\nC+JefgGlTz0jOpLpYv71LhzffQt/m7YomfOikHd0HZs3Iu6vbyLmi0/hWvw1yic/gLI/PGa7Mcki\nBZoe4NprxQZpIEnXrXMC4NSp4pA/Ni0tsU4fHymi8bmj8ZmB0J879m9vIeGJqfC3bY+CVRvqPYQj\n9o1XkfDMTPg6dsLZFesBl9Hv0YSGX+/oEo3PHeozO7ZvRUrmWEBRcHb5Ovi7dgtDOvPU9tzS6dNo\nPLQf5KJCFP3f+/BcLa64ko8eQfzsWYj56AMAgNa4MUofnYaKX06u14GzqPo7rmlI7dUZ8unTwM6d\nONXU2ucQ0tIu/s4M3+8ksrnye+6H77KeUA7lI27uq/W6hnzsKOJffh4AUDL7RWHFMRFV8/Xph4o7\n7obk8yFh+mMR3dEi/rmnIRcVwjM2HZ6rrhGaRWvZCsVz38bZJSvgGTYCckEBEmc8jkajBkNd9HVE\nfx0aqmbTA/ToITpOg7BAJrI7hwMlf34JABD3xiuQD+bX+RLxTz8BqawU7quuhXfceIMDElF9lc6Y\nCa1RI6irlkP96nPRcUzh2LIJse/Pg+50omT2C5Y5LO+7oi+KPv0aRf/6AL5OneHI24fkX96G5Buu\nhmPHNtHxLEnNDoyYt3/TA1MLZE3TMGPGDNx2222YNGkS9u3bZ+btiKKWd+hwVPz8FkgVFUh4cnqd\nPte5ZhViPv0YekwMSmbNNikhEdWHnpqK0umVB2cTZs4ASksFJzKY34+EaY8CAMof/C38nboIDvQT\nkgTPlVfj7MoNKJ79ArTGjaGuXY1GE0Yj8aFfQT5yWHRCS3FlVw0JyrDn9LyaTC2Qc3NzIUkSPvjg\nA0yZMgV/+ctfzLwdUVQrfeoZaPEJcC3+urI3cii8XiRMr/zlVDblEWht25mYkIjqo+LOu+Ht3QfK\nkcOIe+1l0XEMFfP+PDh3bIO/ZSuU/v4x0XEuzulExX2/RsGG7Sj7zf9AV1XE/HshGg/th7g5syCV\nRMke41rIRw7D8d230OPi4R02QnScBjO1QB4/fjyeeaby5O2RI0eQnJxs5u2IoprWvAXKHqtcPY6f\n8TjgvnQf0dh/vA3H7l3wt2uPsoemmB2RiOpDUSq7OgCI+9/XoeyPjHdjpYIziH/uaQCofPcqPl5s\noBDoySkoffpZFKzehIqf3QCpogLxr7yExoP7Imbe/wE+Y+Yz2FFwINSYcRFxjsX0PciyLGPatGl4\n7rnncK3NW34QWV35/b+Gr2s3OA7sR9xbb9T6sdKJE4h7YQ4AoOS554GYmHBEJKJ68A0cjPLb7oDk\n8SBhxuMRcVAsfs6zkM+ehWfkaHiuvV50nDrR2ndA8d//hbNfLYG3/0DIp04i8dEpaJQ+As7cpaLj\nCRHYf+xuSLtRCwlbm7czZ87g5ptvxn/+8x/EXOQXsc/nh8OhhCMOUeTKzQXS0yvbve3eDbS9SJud\nu+4C5s8HrrkG+PLL8GYkoro7eRLo2hUoKgI++wy47jrRiepvyxZg4EBAUYAdO+zd8UDXgY8+AqZN\nA/LzK/9dZibw0ktAr15Co4VNaSmQmlr5zuXx40CzZqITNZipg0I+//xznDhxAr/61a/gcrkgyzLk\nWiZpnT0b+uCPqOorWEM0Pnc0PjPQgOe+fCASr7sRMZ9/AvfDU3DuH/P+60Mc69eh0fz50F0uFDz5\nLDQL/ffl1zu6RONz1/uZpVjETH0CiTMeh/9/pqCg79B69z0XIfjcmoaUB34Np66j7P4HUZrWBrD7\n34FxVwErxyH2728j7pUXIWdlQV+yBBWT7kLsC3NwSrH+9pGGULMWIdnthrdffxTKccCpYlt8bwvr\ngzDkavUAACAASURBVJyRkYHvv/8ed9xxB+677z488cQTUFXVzFsSEYDSp5+FHhcH15efwbli2fl/\n6PMhMXAw76Ep0Dp0FJCQiOqj4u774OvRC8qhg4h74xXRcerF9eECOLdshr9Zc5Q9Nk10HOPExKD8\n4Sko2LAd5ffeD0gSYuf/E+jSBXF/eQEoM276r9UE27tFQPeKAFML5NjYWLz66qt47733sHDhQowd\nO9bM2xFRFa1Va5T+4XEAqBwf7fEE/yzmX/8IjnMt+58/iIpIRPXx077n+QcEB6obqfAsEp6pbFtX\n+vSz0BMuvoJnV3qTJij588s4u3JD5X7ckhLE//lZNB7WH66PPgA0TXREY+k61OzFAAD3hImCwxiH\ng0KIIlT5Aw/B17ETHHv3IPadtwAA0qlTiP/zcwCAkllzgLg4kRGJqB68Q4ah4qZfQHK7kfCkvVZg\n459/DvLp0/AMHQ73jTeLjmMqf5euODf/QyAnB95evaEcPYKkhx9ASuZYONeuFh3PMI5vd0A5cRz+\nlq3g73W56DiGYYFMFKlcrsqx0QDiX/pz5ThpC41zJaL6K33qGWgJiXBlLYK6ZLHoOKHZsQMx//d3\n6IqCkjkv2X7SWsjGjUPhkhU49/pb8DdvAeeObUi5/iok3XUblLy9otM1mJoVmJ43MaK+piyQiSKY\nd9x4uK+6FlJZKZLuvQOxC+ZbbpwrEdWd1qx5sO95whNTgYoKwYkuQdeBhx+GpGkon/wr+Hv0FJ0o\nvBQF7lsnoWDdVpQ+PgN6XDxci79Go5GDET/jMUgFZ0QnrLfACzRPRqbgJMYytYsFEYlXMms21Nwl\ncG7ZDMCi41yJqM7K73sAMR/Mh2P3LiQ+8j/w9u0nOtJFKfkHgNWroTVJCxb2USk+HmWPTkPFnXcj\n7s/PImbBfMT9/W3EfLQQZY9ORfkDD9lq8UI+cRzO7dugx8bCM2K06DiGYoFMFOG0tu1QNuURxD//\nnPXHuRJR6JxOlMx+ESk3XoOYfy9EzL8Xik50SSUzZ0FPThEdQzitWXOUvDIX5ff9GglPPwF1xTIk\nzKxcWa646x7R8UIWnJ43crStWg6GggUyURQo++3vobti4B09xhbjXIkoNN4Ro3Du9bfg3LFNdJRL\niu3ZHe5bbhMdw1L8PXuh6KPPEDP/n0h8dArin3sa7mt+Br1xquhoIQl0r4ik9m4BLJCJooGqovzh\nKaJTEJEJ3LdOgvvWSaJjXFJsWqL9B4KYQZJQcefdcH32MdTVKxE/51mUvGiDHtcVFVBXVvbZ90yI\nrP3HAA/pEREREYklSSiZ/SJ0hwMx896F45vtohNdknPtKkhlZfBefgW0Fi1FxzEcC2QiIiIiwfzd\nL0P5fb+GpOtImPqI5QeKuALt3TIiZzhITSyQiYiIiCyg7LFp8DdtBueWTXB9uEB0nIvT9eoDeiyQ\niYiIiMgsemISSp96BgCQ8MxMSEWFghNdmLLreyiHf4S/aTP4rugrOo4pWCATERERWYT7pl/AO3go\n5NOnEff8c6LjXJArOzA9LxOQI7OUjMynIiIiIrIjSULxnJegyzJi3/0blJ3fik70X4Lt3SZE5vYK\ngAUyERERkaX4e12O8nvvh6RpSJz+aOWobouQTp+GY8sm6KoKz6gxouOYhgUyERERkcWUTX0CWpMm\ncG5YB9f/+1B0nCB1aRYkXYd3+EggIUF0HNOwQCYiIiKyGD05BSVPzgIAxP/pSUjF5wQnquSq6l7h\njsDpeTWxQCYiIiKyIPcvboe3/0AoJ08g7sU/i44DeDxwLsup/McInJ5XEwtkIiIiIiuSZZQ8/zJ0\nSULs396CsnuX0DjOdWsglxTDd1kPaG3bCc1iNhbIRERERBbl690HFXfdC8nvR8KMx4Qe2FOXVHWv\niPDtFQALZCIiIiJLK53xJLTGjaGuXgnX55+ICaHrwfHS7ghu7xbAApmIiIjIwvRGjVE64ykAQPxT\nTwAlJWHPoOzbC+VgPrTUVPj6Dwj7/cONBTIRERGRxVVMugvePn2hHDuK+FdeDPv91arVY096BqAo\nYb9/uLFAJiIiIrI6RUHJn18GAMT+dS6UfXvDevvA/mN3RuRvrwBYIBMRERHZgq/fAJRPuguS14uE\nME7Yk84WwLlxPXSHA94x48JyT9FYIBMRERHZROkTT0NLToG6YhnUr78Myz3V3KWQ/H54hw6HnpQc\nlnuKxgKZiIiIyCb0Jk1QOu2PAICEmdOBsjLT71nd3i06tlcALJCJiIiIbKXi7snw9uoN5fCPiHv9\nZXNv5vNBzVkKIDrauwWwQCYiIiKyE0VByZyXAABxc1+DvD/PtFs5N66HXFQIX+cu0Dp2Mu0+VsMC\nmYiIiMhmfIOHoOKW2yB5PEh4cppp91Gzo2d6Xk0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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -581,41 +1987,929 @@ "plt.xlabel('Forecast Time ('+str(data.index.tz)+')') " ] }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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    temperaturewind_speedtotal_cloudslow_cloudsmid_cloudshigh_cloudsdhidnighi
    2016-02-18 00:00:00-07:0015.0500183.28NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 01:00:00-07:0014.4500123.28NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 02:00:00-07:0013.4500123.28NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 03:00:00-07:0012.9500123.28NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 04:00:00-07:0012.3500064.08NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 05:00:00-07:0012.3500064.818NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 06:00:00-07:0011.8500064.818NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 07:00:00-07:0011.2500004.818NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 08:00:00-07:0014.4500124.818NaNNaNNaN70.0684611.062089e+0289.743660
    2016-02-18 09:00:00-07:0017.6499944.818NaNNaNNaN111.4754213.772350e+02253.099695
    2016-02-18 10:00:00-07:0020.4500125.636NaNNaNNaN163.2875513.463069e+02347.958130
    2016-02-18 11:00:00-07:0023.4500126.453NaNNaNNaN212.3724762.738509e+02389.714547
    2016-02-18 12:00:00-07:0025.0500187.253NaNNaNNaN224.1145453.156262e+02448.381194
    2016-02-18 13:00:00-07:0026.6499947.653NaNNaNNaN225.3954883.203364e+02455.340030
    2016-02-18 14:00:00-07:0027.9500127.653NaNNaNNaN216.4889142.882054e+02409.275910
    2016-02-18 15:00:00-07:0028.3500067.653NaNNaNNaN195.4633692.182939e+02319.279385
    2016-02-18 16:00:00-07:0027.8500067.653NaNNaNNaN157.5963031.151840e+02205.932924
    2016-02-18 17:00:00-07:0027.1499947.268NaNNaNNaN96.7632893.611460e+0097.617672
    2016-02-18 18:00:00-07:0025.1499945.668NaNNaNNaN13.8668027.635601e-1013.866802
    2016-02-18 19:00:00-07:0022.9500124.068NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 20:00:00-07:0021.3500063.268NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 21:00:00-07:0018.7500002.868NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 22:00:00-07:0017.1499943.268NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-18 23:00:00-07:0016.1499943.268NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 00:00:00-07:0014.8500063.268NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 01:00:00-07:0013.8500064.068NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 02:00:00-07:0013.5500184.068NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 03:00:00-07:0012.9500124.068NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 04:00:00-07:0012.9500124.068NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 05:00:00-07:0012.2500004.863NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 06:00:00-07:0011.6499944.863NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 07:00:00-07:0011.8500064.863NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 08:00:00-07:0012.9500124.863NaNNaNNaN77.4503371.846481e+0077.799530
    2016-02-19 09:00:00-07:0017.2500004.063NaNNaNNaN150.2273444.752670e+01168.264365
    2016-02-19 10:00:00-07:0020.5500183.263NaNNaNNaN200.0113691.265972e+02268.056141
    2016-02-19 11:00:00-07:0022.9500123.260NaNNaNNaN225.0627532.161858e+02365.993031
    2016-02-19 12:00:00-07:0024.3500063.260NaNNaNNaN238.6520312.541734e+02420.348499
    2016-02-19 13:00:00-07:0026.0500184.060NaNNaNNaN240.1275152.584606e+02426.750001
    2016-02-19 14:00:00-07:0026.6499944.860NaNNaNNaN229.7623592.290141e+02383.890871
    2016-02-19 15:00:00-07:0027.4500125.660NaNNaNNaN205.6337101.667391e+02300.855170
    2016-02-19 16:00:00-07:0027.4500125.660NaNNaNNaN163.3651088.049275e+01197.435925
    2016-02-19 17:00:00-07:0026.7500005.640NaNNaNNaN94.6769665.160583e+01107.058257
    2016-02-19 18:00:00-07:0024.6499944.840NaNNaNNaN15.0368943.794169e-0415.036908
    2016-02-19 19:00:00-07:0021.8500064.040NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 20:00:00-07:0019.8500063.240NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 21:00:00-07:0017.9500122.840NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 22:00:00-07:0016.2500002.840NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-19 23:00:00-07:0015.4500122.840NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-20 00:00:00-07:0014.0500182.840NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-20 01:00:00-07:0012.7500002.840NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-20 02:00:00-07:0012.4500123.240NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-20 05:00:00-07:0011.3500063.231NaNNaNNaN0.0000000.000000e+000.000000
    2016-02-20 08:00:00-07:0012.4500122.831NaNNaNNaN76.3302854.894660e+0185.778835
    2016-02-20 11:00:00-07:0023.5500181.612NaNNaNNaN126.1172527.263838e+02602.791295
    2016-02-20 14:00:00-07:0027.1499944.012NaNNaNNaN127.2345347.406198e+02628.700065
    2016-02-20 17:00:00-07:0027.2500006.46NaNNaNNaN75.5338443.319284e+02156.274873
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"2016-02-20 11:00:00-07:00 23.550018 1.6 12 NaN \n", + "2016-02-20 14:00:00-07:00 27.149994 4.0 12 NaN \n", + "2016-02-20 17:00:00-07:00 27.250000 6.4 6 NaN \n", + "\n", + " mid_clouds high_clouds dhi dni \\\n", + "2016-02-18 00:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 01:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 02:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 03:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 04:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 05:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 06:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 07:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 08:00:00-07:00 NaN NaN 70.068461 1.062089e+02 \n", + "2016-02-18 09:00:00-07:00 NaN NaN 111.475421 3.772350e+02 \n", + "2016-02-18 10:00:00-07:00 NaN NaN 163.287551 3.463069e+02 \n", + "2016-02-18 11:00:00-07:00 NaN NaN 212.372476 2.738509e+02 \n", + "2016-02-18 12:00:00-07:00 NaN NaN 224.114545 3.156262e+02 \n", + "2016-02-18 13:00:00-07:00 NaN NaN 225.395488 3.203364e+02 \n", + "2016-02-18 14:00:00-07:00 NaN NaN 216.488914 2.882054e+02 \n", + "2016-02-18 15:00:00-07:00 NaN NaN 195.463369 2.182939e+02 \n", + "2016-02-18 16:00:00-07:00 NaN NaN 157.596303 1.151840e+02 \n", + "2016-02-18 17:00:00-07:00 NaN NaN 96.763289 3.611460e+00 \n", + "2016-02-18 18:00:00-07:00 NaN NaN 13.866802 7.635601e-10 \n", + "2016-02-18 19:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 20:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 21:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 22:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-18 23:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 00:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 01:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 02:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 03:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 04:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 05:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 06:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 07:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 08:00:00-07:00 NaN NaN 77.450337 1.846481e+00 \n", + "2016-02-19 09:00:00-07:00 NaN NaN 150.227344 4.752670e+01 \n", + "2016-02-19 10:00:00-07:00 NaN NaN 200.011369 1.265972e+02 \n", + "2016-02-19 11:00:00-07:00 NaN NaN 225.062753 2.161858e+02 \n", + "2016-02-19 12:00:00-07:00 NaN NaN 238.652031 2.541734e+02 \n", + "2016-02-19 13:00:00-07:00 NaN NaN 240.127515 2.584606e+02 \n", + "2016-02-19 14:00:00-07:00 NaN NaN 229.762359 2.290141e+02 \n", + "2016-02-19 15:00:00-07:00 NaN NaN 205.633710 1.667391e+02 \n", + "2016-02-19 16:00:00-07:00 NaN NaN 163.365108 8.049275e+01 \n", + "2016-02-19 17:00:00-07:00 NaN NaN 94.676966 5.160583e+01 \n", + "2016-02-19 18:00:00-07:00 NaN NaN 15.036894 3.794169e-04 \n", + "2016-02-19 19:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 20:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 21:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 22:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-19 23:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-20 00:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-20 01:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-20 02:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-20 05:00:00-07:00 NaN NaN 0.000000 0.000000e+00 \n", + "2016-02-20 08:00:00-07:00 NaN NaN 76.330285 4.894660e+01 \n", + "2016-02-20 11:00:00-07:00 NaN NaN 126.117252 7.263838e+02 \n", + "2016-02-20 14:00:00-07:00 NaN NaN 127.234534 7.406198e+02 \n", + "2016-02-20 17:00:00-07:00 NaN NaN 75.533844 3.319284e+02 \n", + "\n", + " ghi \n", + "2016-02-18 00:00:00-07:00 0.000000 \n", + "2016-02-18 01:00:00-07:00 0.000000 \n", + "2016-02-18 02:00:00-07:00 0.000000 \n", + "2016-02-18 03:00:00-07:00 0.000000 \n", + "2016-02-18 04:00:00-07:00 0.000000 \n", + "2016-02-18 05:00:00-07:00 0.000000 \n", + "2016-02-18 06:00:00-07:00 0.000000 \n", + "2016-02-18 07:00:00-07:00 0.000000 \n", + "2016-02-18 08:00:00-07:00 89.743660 \n", + "2016-02-18 09:00:00-07:00 253.099695 \n", + "2016-02-18 10:00:00-07:00 347.958130 \n", + "2016-02-18 11:00:00-07:00 389.714547 \n", + "2016-02-18 12:00:00-07:00 448.381194 \n", + "2016-02-18 13:00:00-07:00 455.340030 \n", + "2016-02-18 14:00:00-07:00 409.275910 \n", + "2016-02-18 15:00:00-07:00 319.279385 \n", + "2016-02-18 16:00:00-07:00 205.932924 \n", + "2016-02-18 17:00:00-07:00 97.617672 \n", + "2016-02-18 18:00:00-07:00 13.866802 \n", + "2016-02-18 19:00:00-07:00 0.000000 \n", + "2016-02-18 20:00:00-07:00 0.000000 \n", + "2016-02-18 21:00:00-07:00 0.000000 \n", + "2016-02-18 22:00:00-07:00 0.000000 \n", + "2016-02-18 23:00:00-07:00 0.000000 \n", + "2016-02-19 00:00:00-07:00 0.000000 \n", + "2016-02-19 01:00:00-07:00 0.000000 \n", + "2016-02-19 02:00:00-07:00 0.000000 \n", + "2016-02-19 03:00:00-07:00 0.000000 \n", + "2016-02-19 04:00:00-07:00 0.000000 \n", + "2016-02-19 05:00:00-07:00 0.000000 \n", + "2016-02-19 06:00:00-07:00 0.000000 \n", + "2016-02-19 07:00:00-07:00 0.000000 \n", + "2016-02-19 08:00:00-07:00 77.799530 \n", + "2016-02-19 09:00:00-07:00 168.264365 \n", + "2016-02-19 10:00:00-07:00 268.056141 \n", + "2016-02-19 11:00:00-07:00 365.993031 \n", + "2016-02-19 12:00:00-07:00 420.348499 \n", + "2016-02-19 13:00:00-07:00 426.750001 \n", + "2016-02-19 14:00:00-07:00 383.890871 \n", + "2016-02-19 15:00:00-07:00 300.855170 \n", + "2016-02-19 16:00:00-07:00 197.435925 \n", + "2016-02-19 17:00:00-07:00 107.058257 \n", + "2016-02-19 18:00:00-07:00 15.036908 \n", + "2016-02-19 19:00:00-07:00 0.000000 \n", + "2016-02-19 20:00:00-07:00 0.000000 \n", + "2016-02-19 21:00:00-07:00 0.000000 \n", + "2016-02-19 22:00:00-07:00 0.000000 \n", + "2016-02-19 23:00:00-07:00 0.000000 \n", + "2016-02-20 00:00:00-07:00 0.000000 \n", + "2016-02-20 01:00:00-07:00 0.000000 \n", + "2016-02-20 02:00:00-07:00 0.000000 \n", + "2016-02-20 05:00:00-07:00 0.000000 \n", + "2016-02-20 08:00:00-07:00 85.778835 \n", + "2016-02-20 11:00:00-07:00 602.791295 \n", + "2016-02-20 14:00:00-07:00 628.700065 \n", + "2016-02-20 17:00:00-07:00 156.274873 " + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ - "## Instantiate RAP forecast model " + "## RAP" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "fm = RAP()" + "fm = RAP(resolution=20)" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 27, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, timerange)" + "data = fm.get_query_data(latitude, longitude, start, end)" ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 28, "metadata": { "collapsed": false }, @@ -626,7 +2920,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 29, "metadata": { "collapsed": false, "scrolled": true @@ -635,18 +2929,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 26, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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RuPPOO7n22muZM2cOzzzzDFFRUaxcuZKSkhL+8pe/8Morr7B161aCg4OpqKgA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\nKtpb+3n3td3s2tbEknNzSUqRbobBwpKaxOz772Xrg4+S1F6D5+nfsc1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p5EyNl9GNEcPD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\nDB8+3JBti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FPaaewpGmBgzt8fbbb/PYY48F9Rpz5sxh+fLlHTrHNddcQ25ubidFdIgSIxER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\n1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    2016-02-19 07:00:00-07:0014.3766172.5235781000441000.0000000.0000000.000000
    \n", + "
    " + ], + "text/plain": [ + " temperature wind_speed total_clouds low_clouds \\\n", + "2016-02-18 00:00:00-07:00 13.487732 3.068041 0 0 \n", + "2016-02-18 01:00:00-07:00 12.317657 3.017766 0 0 \n", + "2016-02-18 02:00:00-07:00 11.835938 3.168040 0 0 \n", + "2016-02-18 03:00:00-07:00 10.929230 3.353589 0 0 \n", + "2016-02-18 04:00:00-07:00 10.236389 3.583392 0 0 \n", + "2016-02-18 05:00:00-07:00 9.944611 3.329422 0 0 \n", + "2016-02-18 06:00:00-07:00 9.121063 3.434023 0 0 \n", + "2016-02-18 07:00:00-07:00 9.221222 3.934969 0 0 \n", + "2016-02-18 08:00:00-07:00 14.331787 3.221320 0 0 \n", + "2016-02-18 09:00:00-07:00 20.885101 1.599202 0 0 \n", + "2016-02-18 10:00:00-07:00 27.321014 3.068944 0 0 \n", + "2016-02-18 11:00:00-07:00 31.367584 5.161620 0 0 \n", + "2016-02-18 12:00:00-07:00 34.534851 5.482871 0 0 \n", + "2016-02-18 13:00:00-07:00 35.362274 4.890551 0 0 \n", + "2016-02-18 14:00:00-07:00 36.348175 5.767624 6 0 \n", + "2016-02-18 15:00:00-07:00 35.474762 5.970294 4 0 \n", + "2016-02-18 16:00:00-07:00 33.589508 7.494699 0 0 \n", + "2016-02-18 17:00:00-07:00 29.520294 5.661609 6 0 \n", + "2016-02-18 18:00:00-07:00 24.655243 4.583275 12 0 \n", + "2016-02-18 19:00:00-07:00 21.414612 5.113087 66 0 \n", + "2016-02-18 20:00:00-07:00 19.929047 4.587288 84 0 \n", + "2016-02-18 21:00:00-07:00 18.152405 3.339503 70 0 \n", + "2016-02-18 22:00:00-07:00 16.684082 3.143910 0 0 \n", + "2016-02-18 23:00:00-07:00 16.077118 2.720356 8 0 \n", + "2016-02-19 00:00:00-07:00 15.573151 2.354249 38 0 \n", + "2016-02-19 01:00:00-07:00 15.176666 2.322797 84 0 \n", + "2016-02-19 02:00:00-07:00 15.666016 2.275185 70 0 \n", + "2016-02-19 03:00:00-07:00 16.090790 2.608982 96 0 \n", + "2016-02-19 04:00:00-07:00 16.209106 3.155016 100 0 \n", + "2016-02-19 05:00:00-07:00 16.019287 2.526263 100 0 \n", + "2016-02-19 06:00:00-07:00 15.584656 2.486689 100 0 \n", + "2016-02-19 07:00:00-07:00 14.376617 2.523578 100 0 \n", + "\n", + " mid_clouds high_clouds dhi dni \\\n", + "2016-02-18 00:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 01:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 02:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 03:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 04:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 05:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 06:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 07:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 08:00:00-07:00 0 0 59.221272 301.390004 \n", + "2016-02-18 09:00:00-07:00 0 0 82.097308 638.076581 \n", + "2016-02-18 10:00:00-07:00 0 0 91.015043 798.074632 \n", + "2016-02-18 11:00:00-07:00 0 0 95.147829 877.243680 \n", + "2016-02-18 12:00:00-07:00 0 0 96.928033 912.287907 \n", + "2016-02-18 13:00:00-07:00 0 0 97.116170 916.023976 \n", + "2016-02-18 14:00:00-07:00 6 0 111.537857 811.191220 \n", + "2016-02-18 15:00:00-07:00 4 0 102.106475 766.937029 \n", + "2016-02-18 16:00:00-07:00 0 0 85.130445 690.793425 \n", + "2016-02-18 17:00:00-07:00 6 0 74.353134 319.369110 \n", + "2016-02-18 18:00:00-07:00 12 4 13.863049 0.370031 \n", + "2016-02-18 19:00:00-07:00 66 54 0.000000 0.000000 \n", + "2016-02-18 20:00:00-07:00 82 52 0.000000 0.000000 \n", + "2016-02-18 21:00:00-07:00 68 26 0.000000 0.000000 \n", + "2016-02-18 22:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 23:00:00-07:00 6 0 0.000000 0.000000 \n", + "2016-02-19 00:00:00-07:00 8 38 0.000000 0.000000 \n", + "2016-02-19 01:00:00-07:00 10 84 0.000000 0.000000 \n", + "2016-02-19 02:00:00-07:00 70 42 0.000000 0.000000 \n", + "2016-02-19 03:00:00-07:00 96 84 0.000000 0.000000 \n", + "2016-02-19 04:00:00-07:00 92 100 0.000000 0.000000 \n", + "2016-02-19 05:00:00-07:00 96 100 0.000000 0.000000 \n", + "2016-02-19 06:00:00-07:00 90 100 0.000000 0.000000 \n", + "2016-02-19 07:00:00-07:00 44 100 0.000000 0.000000 \n", + "\n", + " ghi \n", + "2016-02-18 00:00:00-07:00 0.000000 \n", + "2016-02-18 01:00:00-07:00 0.000000 \n", + "2016-02-18 02:00:00-07:00 0.000000 \n", + "2016-02-18 03:00:00-07:00 0.000000 \n", + "2016-02-18 04:00:00-07:00 0.000000 \n", + "2016-02-18 05:00:00-07:00 0.000000 \n", + "2016-02-18 06:00:00-07:00 0.000000 \n", + "2016-02-18 07:00:00-07:00 0.000000 \n", + "2016-02-18 08:00:00-07:00 115.053768 \n", + "2016-02-18 09:00:00-07:00 321.648625 \n", + "2016-02-18 10:00:00-07:00 516.593983 \n", + "2016-02-18 11:00:00-07:00 663.238722 \n", + "2016-02-18 12:00:00-07:00 745.149722 \n", + "2016-02-18 13:00:00-07:00 754.658441 \n", + "2016-02-18 14:00:00-07:00 654.161710 \n", + "2016-02-18 15:00:00-07:00 537.112137 \n", + "2016-02-18 16:00:00-07:00 375.019926 \n", + "2016-02-18 17:00:00-07:00 149.908034 \n", + "2016-02-18 18:00:00-07:00 13.875561 \n", + "2016-02-18 19:00:00-07:00 0.000000 \n", + "2016-02-18 20:00:00-07:00 0.000000 \n", + "2016-02-18 21:00:00-07:00 0.000000 \n", + "2016-02-18 22:00:00-07:00 0.000000 \n", + "2016-02-18 23:00:00-07:00 0.000000 \n", + "2016-02-19 00:00:00-07:00 0.000000 \n", + "2016-02-19 01:00:00-07:00 0.000000 \n", + "2016-02-19 02:00:00-07:00 0.000000 \n", + "2016-02-19 03:00:00-07:00 0.000000 \n", + "2016-02-19 04:00:00-07:00 0.000000 \n", + "2016-02-19 05:00:00-07:00 0.000000 \n", + "2016-02-19 06:00:00-07:00 0.000000 \n", + "2016-02-19 07:00:00-07:00 0.000000 " + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ - "## Instantiate HRRR forecast model " + "## HRRR" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 31, "metadata": { "collapsed": false }, @@ -684,19 +3506,19 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 32, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, timerange)" + "data = fm.get_query_data(latitude, longitude, start, end)" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 33, "metadata": { "collapsed": true }, @@ -707,7 +3529,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 34, "metadata": { "collapsed": false, "scrolled": false @@ -716,18 +3538,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 30, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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o4ZzlF9dR39ROUmw4k0bHAMctf5uq2Z8zCUlMxIgdTpjh5vD2wkCXIyIiIiJD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\n68bf+FrbPHDfSP75f2upPFZO9vpjdOwQzqgRXYyOJYRHKPqZY9JaWG1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bgNIVy3FVVxuc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WHOnDmcPXuWmpoa1qxZQ2ZmJo6OjtjZ2Uk2jUir1WJjY8PGjRs5efIk5eXlDB8+nJiYGKD+csTC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\n", 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kyRKGDh3K4sWLmT17duf1t99+m1/96lcsWbKEvLy8ziTLXzJjJIQQIiQOrvuaWKDBmsVI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\nbm5OmVX9M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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -743,18 +3565,486 @@ "plt.legend(bbox_to_anchor=(1.18,1.0))" ] }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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    temperaturewind_speedtotal_cloudslow_cloudsmid_cloudshigh_cloudsdhidnighi
    2016-02-18 00:00:00-07:0014.5588684.4025360.00000.0000.0000.0000000.000000e+000.000000
    2016-02-18 01:00:00-07:0012.1470035.4949450.00000.0000.0000.0000000.000000e+000.000000
    2016-02-18 02:00:00-07:0011.4803475.4402880.00000.0000.0000.0000000.000000e+000.000000
    2016-02-18 03:00:00-07:00NaN6.1858890.00000.0000.0000.0000000.000000e+000.000000
    2016-02-18 04:00:00-07:0010.0896005.3272940.00000.0000.0000.0000000.000000e+000.000000
    2016-02-18 05:00:00-07:0010.1235354.8243940.00000.0000.0000.0000000.000000e+000.000000
    2016-02-18 06:00:00-07:009.4288644.4650150.00000.0000.0000.0000000.000000e+000.000000
    2016-02-18 07:00:00-07:009.7075504.5359230.00000.0000.0000.0000000.000000e+000.000000
    2016-02-18 08:00:00-07:0010.0476994.8436480.00000.0000.00059.2212723.013900e+02115.053768
    2016-02-18 09:00:00-07:0011.5283513.6792830.00000.0000.00082.0973086.380766e+02321.648625
    2016-02-18 10:00:00-07:0015.7652893.0463470.00000.0000.00091.0150437.980746e+02516.593983
    2016-02-18 11:00:00-07:0018.3525096.1338101.75001.7500.00099.7247708.536847e+02652.559193
    2016-02-18 12:00:00-07:0021.1357126.0847651.87501.8750.250102.0342968.883332e+02733.235107
    2016-02-18 13:00:00-07:0023.4813846.1482368.37508.3752.625119.7224438.110478e+02701.910471
    2016-02-18 14:00:00-07:0026.1675727.55654467.125067.12549.750240.4057751.690243e+02353.469903
    2016-02-18 15:00:00-07:0026.5506596.20461896.000096.00065.625232.1214572.860357e+00233.743847
    2016-02-18 16:00:00-07:0027.2551276.95414995.875095.87552.875172.0521653.584317e-01172.202580
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    2016-02-18 19:00:00-07:0024.3950815.62014277.000076.12576.8750.0000000.000000e+000.000000
    2016-02-18 20:00:00-07:0022.5228272.81583223.625023.6259.6250.0000000.000000e+000.000000
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    2016-02-18 23:00:00-07:0018.1217042.13271746.625046.62532.3750.0000000.000000e+000.000000
    2016-02-19 00:00:00-07:0016.9061283.54275049.125049.12535.5000.0000000.000000e+000.000000
    2016-02-19 01:00:00-07:0016.1909182.52263746.000046.00022.2500.0000000.000000e+000.000000
    2016-02-19 02:00:00-07:0015.8917541.92251459.625059.62556.5000.0000000.000000e+000.000000
    2016-02-19 03:00:00-07:0015.3620912.755830100.000066.750100.0000.0000000.000000e+000.000000
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02:00:00-07:00 0.000000 \n", + "2016-02-19 03:00:00-07:00 0.000000 " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ - "## Instanciate HRRR ESRL forecast model " + "## HRRR (ESRL)" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 36, "metadata": { "collapsed": false }, @@ -763,23 +4053,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "c:\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py:539: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", - " + 'available.')\n" - ] - }, - { - "ename": "HTTPError", - "evalue": "404 Client Error: Not Found for url: http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mHTTPError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mfm\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mHRRR_ESRL\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;32mc:\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, set_type)\u001b[0m\n\u001b[0;32m 558\u001b[0m \u001b[1;34m'high_clouds'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 559\u001b[0m 'ghi', ]\n\u001b[1;32m--> 560\u001b[1;33m \u001b[0msuper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mHRRR_ESRL\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodel_type\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mset_type\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 561\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 562\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\programmingfolder\\repositories\\pvlib\\pvlib\\forecast.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, model_type, model_name, set_type)\u001b[0m\n\u001b[0;32m 130\u001b[0m \u001b[1;32mraise\u001b[0m \u001b[0mParseError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodel_name\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;34m' model may be unavailable.'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 131\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 132\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodel\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mTDSCatalog\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodel_url\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 133\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdatasets_list\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdatasets\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 134\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_dataset\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\programmingfolder\\repositories\\siphon\\siphon\\catalog.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, catalog_url)\u001b[0m\n\u001b[0;32m 57\u001b[0m \u001b[1;31m# get catalog.xml file\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[0mresp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcatalog_url\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 59\u001b[1;33m \u001b[0mresp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_for_status\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 61\u001b[0m \u001b[1;31m# If we were given an HTML link, warn about it and try to fix to xml\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mC:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\requests\\models.py\u001b[0m in \u001b[0;36mraise_for_status\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 835\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 836\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mhttp_error_msg\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 837\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mHTTPError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhttp_error_msg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 838\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 839\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mHTTPError\u001b[0m: 404 Client Error: Not Found for url: http://thredds-jumbo.unidata.ucar.edu/thredds/catalog/grib/HRRR/CONUS_3km/surface/catalog.xml" + "/Users/holmgren/git_repos/pvlibfx/pvlib-python/pvlib/forecast.py:553: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", + " warnings.warn('HRRR_ESRL is an experimental model and is not always available.')\n" ] } ], @@ -789,14 +4064,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": { - "collapsed": true + "collapsed": false }, - "outputs": [], + "outputs": [ + { + "ename": "HTTPError", + "evalue": "Error accessing http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/HRRR/CONUS_3km/surface/Best?var=High_cloud_cover_UnknownLevelType-234&var=Low_cloud_cover_UnknownLevelType-214&var=Medium_cloud_cover_UnknownLevelType-224&var=Total_cloud_cover_entire_atmosphere&var=Wind_speed_gust_surface&var=Temperature_surface&var=Downward_short-wave_radiation_flux_surface&time_start=2016-02-18T07%3A00%3A00%2B00%3A00&time_end=2016-02-25T07%3A00%3A00%2B00%3A00&latitude=32.2&longitude=-110.9&vertCoord=100000&accept=netcdf: Requested time range 2016-02-18T07:00:00Z - 2016-02-25T07:00:00Z does not intersect actual time range 2016-01-13T14:00:00Z - 2016-02-03T18:24:00Z", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mHTTPError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# retrieve data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_query_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlatitude\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlongitude\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstart\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/Users/holmgren/git_repos/pvlibfx/pvlib-python/pvlib/forecast.py\u001b[0m in \u001b[0;36mget_query_data\u001b[0;34m(self, latitude, longitude, start, end, vert_level, variables)\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccept\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata_format\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m \u001b[0mnetcdf_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mncss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 251\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 252\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/holmgren/miniconda3/envs/pvlibfx/lib/python2.7/site-packages/siphon/ncss.pyc\u001b[0m in \u001b[0;36mget_data\u001b[0;34m(self, query)\u001b[0m\n\u001b[1;32m 98\u001b[0m '''\n\u001b[1;32m 99\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 100\u001b[0;31m \u001b[0mresp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_query\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 101\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresponse_handlers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munit_handler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 102\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/holmgren/miniconda3/envs/pvlibfx/lib/python2.7/site-packages/siphon/http_util.pyc\u001b[0m in \u001b[0;36mget_query\u001b[0;34m(self, query)\u001b[0m\n\u001b[1;32m 367\u001b[0m '''\n\u001b[1;32m 368\u001b[0m \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_base\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_base\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'/'\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_base\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 369\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mquery\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 370\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 371\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0murl_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/holmgren/miniconda3/envs/pvlibfx/lib/python2.7/site-packages/siphon/http_util.pyc\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, path, params)\u001b[0m\n\u001b[1;32m 446\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus_code\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m200\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 447\u001b[0m raise requests.HTTPError('Error accessing %s: %s' % (resp.request.url,\n\u001b[0;32m--> 448\u001b[0;31m resp.text))\n\u001b[0m\u001b[1;32m 449\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 450\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mHTTPError\u001b[0m: Error accessing http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/HRRR/CONUS_3km/surface/Best?var=High_cloud_cover_UnknownLevelType-234&var=Low_cloud_cover_UnknownLevelType-214&var=Medium_cloud_cover_UnknownLevelType-224&var=Total_cloud_cover_entire_atmosphere&var=Wind_speed_gust_surface&var=Temperature_surface&var=Downward_short-wave_radiation_flux_surface&time_start=2016-02-18T07%3A00%3A00%2B00%3A00&time_end=2016-02-25T07%3A00%3A00%2B00%3A00&latitude=32.2&longitude=-110.9&vertCoord=100000&accept=netcdf: Requested time range 2016-02-18T07:00:00Z - 2016-02-25T07:00:00Z does not intersect actual time range 2016-01-13T14:00:00Z - 2016-02-03T18:24:00Z" + ] + } + ], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, timerange)" + "data = fm.get_query_data(latitude, longitude, start, end)" ] }, { @@ -852,9 +4143,21 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 2", "language": "python", - "name": "python3" + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.11" } }, "nbformat": 4, diff --git a/docs/tutorials/forecast_to_power.ipynb b/docs/tutorials/forecast_to_power.ipynb index 453d0b3229..5af903890d 100644 --- a/docs/tutorials/forecast_to_power.ipynb +++ b/docs/tutorials/forecast_to_power.ipynb @@ -50,19 +50,10 @@ "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\matplotlib\\__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n", - " warnings.warn(self.msg_depr % (key, alt_key))\n" - ] - } - ], + "outputs": [], "source": [ "# built-in python modules\n", - "from datetime import datetime,timedelta\n", + "import datetime\n", "import inspect\n", "import os\n", "\n", @@ -85,7 +76,7 @@ "\n", "# finally, we import the pvlib library\n", "from pvlib import solarposition,irradiance,atmosphere,pvsystem\n", - "from pvlib.forecast import GFS,NAM,NDFD,RAP,HRRR" + "from pvlib.forecast import GFS, NAM, NDFD, RAP, HRRR" ] }, { @@ -147,9 +138,8 @@ }, "outputs": [], "source": [ - "start = datetime.now() # today's date\n", - "end = start + timedelta(days=7) # 7 days from today\n", - "timerange = pd.date_range(start, end, tz=tz)" + "start = pd.Timestamp(datetime.date.today(), tz=tz) # today's date\n", + "end = start + pd.Timedelta(days=7) # 7 days from today" ] }, { @@ -177,7 +167,7 @@ "outputs": [], "source": [ "# Retrieve data\n", - "forecast_data = fm.get_query_data(latitude, longitude, timerange)" + "forecast_data = fm.get_query_data(latitude, longitude, start, end)" ] }, { @@ -208,71 +198,71 @@ " low_clouds\n", " mid_clouds\n", " high_clouds\n", - " dni\n", " dhi\n", + " dni\n", " ghi\n", " \n", " \n", " \n", " \n", - " 2016-01-07 23:00:00-07:00\n", - " 5.149994\n", - " 4.432889\n", - " 93\n", - " 13\n", - " 93\n", + " 2016-02-18 02:00:00-07:00\n", + " 14.050018\n", + " 4.449326\n", + " 0\n", + " 0\n", + " 0\n", " 0\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", " \n", " \n", - " 2016-01-08 02:00:00-07:00\n", - " 3.550018\n", - " 2.435837\n", - " 67\n", + " 2016-02-18 05:00:00-07:00\n", + " 12.149994\n", + " 3.318027\n", + " 0\n", + " 0\n", " 0\n", - " 67\n", " 0\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", " \n", " \n", - " 2016-01-08 05:00:00-07:00\n", - " 2.850006\n", - " 3.980565\n", - " 37\n", - " 4\n", - " 35\n", + " 2016-02-18 08:00:00-07:00\n", + " 14.550018\n", + " 4.128268\n", " 0\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", + " 0\n", + " 0\n", + " 0\n", + " 59.221272\n", + " 301.390004\n", + " 115.053768\n", " \n", " \n", - " 2016-01-08 08:00:00-07:00\n", - " 2.850006\n", - " 4.580174\n", - " 5\n", - " 4\n", + " 2016-02-18 11:00:00-07:00\n", + " 30.050018\n", + " 6.592420\n", + " 0\n", " 0\n", " 0\n", - " 56.671207\n", - " 38.295502\n", - " 43.816387\n", + " 0\n", + " 95.147829\n", + " 877.243680\n", + " 663.238722\n", " \n", " \n", - " 2016-01-08 11:00:00-07:00\n", - " 12.250000\n", - " 4.284344\n", - " 5\n", - " 3\n", - " 2\n", + " 2016-02-18 14:00:00-07:00\n", + " 33.950012\n", + " 6.997664\n", + " 13\n", " 0\n", - " 714.975749\n", - " 102.041911\n", - " 475.021352\n", + " 14\n", + " 3\n", + " 129.299503\n", + " 722.682447\n", + " 612.717869\n", " \n", " \n", "\n", @@ -280,25 +270,25 @@ ], "text/plain": [ " temperature wind_speed total_clouds low_clouds \\\n", - "2016-01-07 23:00:00-07:00 5.149994 4.432889 93 13 \n", - "2016-01-08 02:00:00-07:00 3.550018 2.435837 67 0 \n", - "2016-01-08 05:00:00-07:00 2.850006 3.980565 37 4 \n", - "2016-01-08 08:00:00-07:00 2.850006 4.580174 5 4 \n", - "2016-01-08 11:00:00-07:00 12.250000 4.284344 5 3 \n", + "2016-02-18 02:00:00-07:00 14.050018 4.449326 0 0 \n", + "2016-02-18 05:00:00-07:00 12.149994 3.318027 0 0 \n", + "2016-02-18 08:00:00-07:00 14.550018 4.128268 0 0 \n", + "2016-02-18 11:00:00-07:00 30.050018 6.592420 0 0 \n", + "2016-02-18 14:00:00-07:00 33.950012 6.997664 13 0 \n", "\n", - " mid_clouds high_clouds dni dhi \\\n", - "2016-01-07 23:00:00-07:00 93 0 0.000000 0.000000 \n", - "2016-01-08 02:00:00-07:00 67 0 0.000000 0.000000 \n", - "2016-01-08 05:00:00-07:00 35 0 0.000000 0.000000 \n", - "2016-01-08 08:00:00-07:00 0 0 56.671207 38.295502 \n", - "2016-01-08 11:00:00-07:00 2 0 714.975749 102.041911 \n", + " mid_clouds high_clouds dhi dni \\\n", + "2016-02-18 02:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 05:00:00-07:00 0 0 0.000000 0.000000 \n", + "2016-02-18 08:00:00-07:00 0 0 59.221272 301.390004 \n", + "2016-02-18 11:00:00-07:00 0 0 95.147829 877.243680 \n", + "2016-02-18 14:00:00-07:00 14 3 129.299503 722.682447 \n", "\n", " ghi \n", - "2016-01-07 23:00:00-07:00 0.000000 \n", - "2016-01-08 02:00:00-07:00 0.000000 \n", - "2016-01-08 05:00:00-07:00 0.000000 \n", - "2016-01-08 08:00:00-07:00 43.816387 \n", - "2016-01-08 11:00:00-07:00 475.021352 " + "2016-02-18 02:00:00-07:00 0.000000 \n", + "2016-02-18 05:00:00-07:00 0.000000 \n", + "2016-02-18 08:00:00-07:00 115.053768 \n", + "2016-02-18 11:00:00-07:00 663.238722 \n", + "2016-02-18 14:00:00-07:00 612.717869 " ] }, "execution_count": 7, @@ -327,7 +317,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -336,9 +326,9 @@ }, { "data": { - "image/png": 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ZA18DfOVfz+O/fesC3rh2YPWhOM6b23lspot4662pgVa1zjQv9Nzgpq+Nnf5W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UbtcTz5yC3ydi3670ptee7nXJXnt9DrtymxtQNAsn7cFCr05oNVqYn9/+rVEh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ZAAAF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\nCRn6fwLNsVEAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -353,7 +343,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Plot the GHI data" + "Plot the GHI data. Most pvlib forecast models derive this data from the weather models' cloud clover data." ] }, { @@ -366,7 +356,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -375,9 +365,9 @@ }, { "data": { - "image/png": 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9weCmDjotBOeA16W2ddJutKtUT8BUav9N0cXx0OlTC1zpzKLQvzk33XQTVqxY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mJGTF9Am1vSms/yyzeFSjNE1D/wgz2nZKKyqyqmY9o825sCQpKxAABMtYkAoUZbQ5D5bF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ucdUY8TjRQwfzPKrComsRVFf6yRcAVbpRFTQJtIchXQtj8/rwTKgleuAAiUAg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TrSbE2Etio7zDvhzcyA6Dq08XEAwOHjCzA0BRdOlbFtKxeCM3MBHv3RqVW/h6HoUIkKR+wq2MN7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\nSk1NDT09PRQUFDBt2jTWrl0LgMvlorm5WVuPJw0Ca2yH6upqe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xxKJwZo5dmaKpGMvfeYA3mtdTG6hhUmgCG1r/SdLv5HEkA164XDrRpKwUj258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\n4G5m0sfV93jMsi3a4h3sUrVzr881fOlpmHYCv88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DVX6oAG/8QpuSDRQ9C5LOtt35AsvZ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\nOI0L5kwIBLCfOhlCS69NsPykPgYsnkycL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1ZHUxobZz5Si0N+3Xp12AMYFmvLFrFdZ1bQQAhAMiZDUJTaeLlnLlbEw+oHPD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\nRx+xZ88eUlNT0el06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0j8bljosQi4wEzUIIS5SGmqzw8D/Rk6WPK8WguaPFt1BLWzLiySw+t6OigNkQ9Lsk02yR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\nOAs1zSIi0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lBEQQXQ1tMimZp5QxhIG0QKpHqZ3frP1zMsimFRwcYYGJX7zo1JvhFBuWGUSE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\nTkSuQmCC\n", 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sdsiK6mp9NFBJ1pib56g+wzCQl0vHTDU0mUNZJpiRJhcxkLZBdnGzofnlx4w0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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -828,87 +818,6 @@ "plt.ylabel('DC Power (W)')" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## DC power using single diode" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "cec_modules = pvsystem.retrieve_sam(name='CECMod')\n", - "cec_module = cec_modules.Canadian_Solar_CS5P_220M" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = (\n", - " pvsystem.calcparams_desoto(poa_irrad.poa_global,\n", - " temp_cell=pvtemps['temp_cell'],\n", - " alpha_isc=cec_module['alpha_sc'],\n", - " module_parameters=cec_module,\n", - " EgRef=1.121,\n", - " dEgdT=-0.0002677) )" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "single_diode_out = pvsystem.singlediode(cec_module, photocurrent, saturation_current,\n", - " resistance_series, resistance_shunt, nNsVth)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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CL7sC9UjE2fG2G2EgLRE/msRkwml+YFAX5wvdMKFFlLIfsVco7ZCHm5HuP8H+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\npEQ7Ewh4dTQ2ip9ND/g8aO/M1gHJMB63tHd0AwA6O2JIxp2vgzpZmVT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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "single_diode_out[['p_mp']].plot()\n", - "plt.ylabel('DC Power (W)')" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -925,7 +834,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 22, "metadata": { "collapsed": false }, @@ -943,7 +852,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 23, "metadata": { "collapsed": false }, @@ -968,7 +877,7 @@ "Name: ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_, dtype: float64" ] }, - "execution_count": 27, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -980,7 +889,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 24, "metadata": { "collapsed": false }, @@ -988,18 +897,18 @@ { "data": { "text/plain": [ - "" + "(0, 200.0)" ] }, - "execution_count": 28, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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lfhUA4KnDL0SypqRhOTaY6gSyA5tJsypHaVexMF5xd2aKRgFAa3K+atKwT1Ba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\njopsBEFeQCtbgsLVkkHbM9k0Tfzt3/4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8YZOpGlWB2mE6btJVMR2t52ouZUBwhQIrAnJU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Xv/uIHHl29xpVTbK++2s6V9gLPnNXPKBCstAEu286ufPpnWpjgvvr2bF13Yy9EzkOUPf95OMhYc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\nEXmIk2kiIiIiIg/9D1T7Zb7Kw+fPAAAAAElFTkSuQmCC\n", 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P/gwf//jHMT09jQsvvBDr169HLBbDkSNH8OCDD2L9+vV4//vf7+daQ8HNYSyW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\n07OJijTz8VfVeH2hvStgrE/PCwh0UzBK/+j+ZKbYGJtn53B1G9WNHWo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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1007,25 +916,11 @@ } ], "source": [ - "p_acs = pd.DataFrame()\n", - "p_acs['sapm'] = pvsystem.snlinverter(sapm_inverter, sapm_out.v_mp, sapm_out.p_mp)\n", - "p_acs['sd'] = pvsystem.snlinverter(sapm_inverter, single_diode_out.v_mp, single_diode_out.p_mp)\n", + "p_ac = pvsystem.snlinverter(sapm_inverter, sapm_out.v_mp, sapm_out.p_mp)\n", "\n", - "p_acs.plot()\n", - "plt.ylabel('AC Power (W)')" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "#diff = p_acs['sapm'] - p_acs['sd']\n", - "#diff.plot()\n", - "#plt.ylabel('SAPM - SD Power (W)')" + "p_ac.plot()\n", + "plt.ylabel('AC Power (W)')\n", + "plt.ylim(0, None)" ] }, { @@ -1037,7 +932,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 25, "metadata": { "collapsed": false }, @@ -1045,18 +940,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 30, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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5VeoYR3MRwAbctGs3Ak2VmXE9VsbZ598G/MqEBOYqduyNZl0FsRACe/bswQ9/+EMAwMTE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\nCsQiIiIiEtYUiEVEREQkrCkQi4iIiEhYUyAWERERkbCmQCw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OSpIeffRRPfroo7r77rt1zz336JZbbtHjjz8uj8ejVatW+axQ+Fbt4ekSzB8O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\n0TaLygtTJ4Lxzg8FY6vFrLz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    " - ], "text/plain": [ - " sapm sd\n", - "count 56.000000 28.000000\n", - "mean 33.792159 68.864911\n", - "std 57.154386 64.459024\n", - "min -0.020000 6.561978\n", - "25% -0.020000 11.859527\n", - "50% 2.670860 33.870485\n", - "75% 23.515381 143.433871\n", - "max 157.287474 156.656684" + "count 56.000000\n", + "mean 35.964865\n", + "std 55.291232\n", + "min -0.020000\n", + "25% -0.020000\n", + "50% 6.307337\n", + "75% 47.105919\n", + "max 169.207506\n", + "dtype: float64" ] }, - "execution_count": 31, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "p_acs.describe()" + "p_ac.describe()" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 27, "metadata": { "collapsed": false }, @@ -1169,38 +1009,68 @@ { "data": { "text/plain": [ - "sapm 1892.360893\n", - "sd 1928.217518\n", - "dtype: float64" + "<3 * Hours>" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p_ac.index.freq" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "6042.0973391930229" ] }, - "execution_count": 32, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "p_acs.sum()" + "# integrate power to find energy yield over the forecast period\n", + "p_ac.sum() * 3" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 2", "language": "python", - "name": "python3" + "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 3 + "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3" + "pygments_lexer": "ipython2", + "version": "2.7.11" } }, "nbformat": 4, diff --git a/pvlib/forecast.py b/pvlib/forecast.py index 1541632235..fbb59e86af 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -236,7 +236,7 @@ def get_query_data(self, latitude, longitude, start, end, self.latitude = latitude self.longitude = longitude - self.set_query_latlon() # modifies self.query + self.set_query_latlon() # modifies self.query self.set_location(start) self.start = localize_to_utc(start, self.location) @@ -457,8 +457,8 @@ class GFS(ForecastModel): Parameters ---------- - res: string - Resolution of the model. + resolution: string + Resolution of the model, either 'half' or 'quarter' degree. set_type: string Type of model to pull data from. @@ -479,12 +479,17 @@ class GFS(ForecastModel): specific variables. ''' - def __init__(self, res='half', set_type='best'): + _resolutions = ['Half', 'Quarter'] + + def __init__(self, resolution='half', set_type='best'): model_type = 'Forecast Model Data' - if res == 'half': - model = 'GFS Half Degree Forecast' - elif res == 'quarter': - model = 'GFS Quarter Degree Forecast' + + resolution = resolution.title() + if resolution not in self._resolutions: + raise ValueError('resolution must in {}'.format(self._resolutions)) + + model = 'GFS {} Degree Forecast'.format(resolution) + self.variables = { 'temperature': 'Temperature_surface', 'wind_speed_gust': 'Wind_speed_gust_surface', @@ -545,8 +550,8 @@ class HRRR_ESRL(ForecastModel): def __init__(self, set_type='best'): import warnings - warnings.warn('HRRR_ESRL is an experimental model and is not always' + - ' available.') + warnings.warn('HRRR_ESRL is an experimental model and is not always available.') + model_type = 'Forecast Model Data' model = 'GSD HRRR CONUS 3km surface' self.variables = { @@ -733,6 +738,8 @@ class RAP(ForecastModel): Parameters ---------- + resolution: string or int + The model resolution, either '20' or '40' (km) set_type: string Type of model to pull data from. @@ -753,9 +760,16 @@ class RAP(ForecastModel): specific variables. ''' - def __init__(self, set_type='best'): + _resolutions = ['20', '40'] + + def __init__(self, resolution='20', set_type='best'): + + resolution = str(resolution) + if resolution not in self._resolutions: + raise ValueError('resolution must in {}'.format(self._resolutions)) + model_type = 'Forecast Model Data' - model = 'Rapid Refresh CONUS 20km' + model = 'Rapid Refresh CONUS {}km'.format(resolution) self.variables = { 'temperature': 'Temperature_surface', 'wind_speed_gust': 'Wind_speed_gust_surface', diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 2977b71953..39ef89169d 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -17,7 +17,7 @@ from requests.exceptions import HTTPError from xml.etree.ElementTree import ParseError - from pvlib.forecast import GFS,HRRR_ESRL,HRRR,NAM,NDFD,RAP + from pvlib.forecast import GFS, HRRR_ESRL, HRRR, NAM, NDFD, RAP import pvlib.solarposition as solarposition from pvlib.location import Location @@ -29,38 +29,32 @@ _end = _start + pd.Timedelta(days=1) _models = [GFS, NAM, HRRR, RAP, NDFD, HRRR_ESRL] _working_models = [] - _variables = np.array(['temperature', - 'wind_speed', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', - 'dni', - 'dhi', - 'ghi',]) - _nonnan_variables = np.array(['temperature', - 'wind_speed', - 'total_clouds', - 'dni', - 'dhi', - 'ghi',]) + _variables = ['temperature', 'wind_speed', 'total_clouds', 'low_clouds', + 'mid_clouds', 'high_clouds', 'dni', 'dhi', 'ghi',] + _nonnan_variables = ['temperature', 'wind_speed', 'total_clouds', 'dni', + 'dhi', 'ghi',] @requires_siphon -def test_fmcreation(): +def test_model_creation(): for model in _models: - if model.__name__ is not 'HRRR_ESRL': - amodel = model() - _working_models.append(amodel) - else: + if model.__name__ != 'HRRR_ESRL': try: + resolutions = model._resolutions + except AttributeError: amodel = model() - except (ParseError, HTTPError): - pass + _working_models.append(amodel) + else: + for resolution in resolutions: + amodel = model(resolution=resolution) + _working_models.append(amodel) @requires_siphon def test_data_query(): - for amodel in _working_models: - data = amodel.get_query_data(_latitude, _longitude, _start, _end) + for model in _working_models: + yield run_query, model + +def run_query(model): + data = model.get_query_data(_latitude, _longitude, _start, _end) @requires_siphon def test_dataframe_variables(): @@ -78,7 +72,7 @@ def test_vert_level(): amodel = _working_models[0] vert_level = 5000 data = amodel.get_query_data(_latitude, _longitude, _start, _end, - vert_level=vert_level) + vert_level=vert_level) @requires_siphon def test_datetime(): @@ -105,10 +99,6 @@ def test_latest(): def test_full(): GFS(set_type='full') -@requires_siphon -def test_gfs(): - GFS(res='quarter') - @requires_siphon def test_temp_convert(): amodel = _working_models[0] From 48a158a9269feef51ef7467e5e30aa2236bdab8b Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Thu, 18 Feb 2016 15:03:09 -0700 Subject: [PATCH 71/88] more clean up and pep8 --- .gitignore | 12 +- docs/sphinx/source/pvlib.rst | 7 +- docs/sphinx/source/whatsnew/v0.3.0.txt | 2 +- pvlib/atmosphere.py | 66 ++++----- pvlib/irradiance.py | 184 +++++++++++-------------- pvlib/test/test_irradiance.py | 11 +- 6 files changed, 126 insertions(+), 156 deletions(-) diff --git a/.gitignore b/.gitignore index 4f1e250cea..444f214d0e 100644 --- a/.gitignore +++ b/.gitignore @@ -67,6 +67,7 @@ coverage.xml # HDF tables *.h5 + #Datafiles *.csv @@ -74,14 +75,5 @@ coverage.xml *.swp #Ignore some notebooks -!*.ipynb +*.ipynb !docs/tutorials/*.ipynb -pvlib/*.csv -*pvlibdev.sublime-workspace -*pvlibdev.sublime-project -pvlib/varlists.pkl -docs/tutorials/scripts/*.py - -# miscellaneous -**/*ignore* -.ipynb_checkpoints diff --git a/docs/sphinx/source/pvlib.rst b/docs/sphinx/source/pvlib.rst index c02bc2e3da..01d4bb1877 100644 --- a/docs/sphinx/source/pvlib.rst +++ b/docs/sphinx/source/pvlib.rst @@ -16,14 +16,14 @@ clearsky module :members: :undoc-members: :show-inheritance: - + forecast module ---------------- .. automodule:: pvlib.forecast :members: :undoc-members: - :show-inheritance: + :show-inheritance: irradiance module ----------------- @@ -56,7 +56,7 @@ solarposition module :members: :undoc-members: :show-inheritance: - + tmy module -------------------- @@ -80,4 +80,3 @@ tools module :members: :undoc-members: :show-inheritance: - \ No newline at end of file diff --git a/docs/sphinx/source/whatsnew/v0.3.0.txt b/docs/sphinx/source/whatsnew/v0.3.0.txt index 5e174a660e..ef1aac341a 100644 --- a/docs/sphinx/source/whatsnew/v0.3.0.txt +++ b/docs/sphinx/source/whatsnew/v0.3.0.txt @@ -1,7 +1,7 @@ .. _whatsnew_0300: v0.3.0 (October 22, 2015) ------------------------ +------------------------- This version only differs from 0.2.1 in that it adds a module that can download weather forecast data from UNIDATA using the siphon diff --git a/pvlib/atmosphere.py b/pvlib/atmosphere.py index ed35bf3b08..2593534afa 100644 --- a/pvlib/atmosphere.py +++ b/pvlib/atmosphere.py @@ -1,5 +1,5 @@ """ -The ``atmosphere`` module contains methods to calculate +The ``atmosphere`` module contains methods to calculate relative and absolute airmass and to determine pressure from altitude or vice versa. """ @@ -11,10 +11,10 @@ import numpy as np -AIRMASS_MODELS = ['kastenyoung1989', 'kasten1966', 'simple', +AIRMASS_MODELS = ['kastenyoung1989', 'kasten1966', 'simple', 'pickering2002', 'youngirvine1967', 'young1994', 'gueymard1993'] - + def pres2alt(pressure): ''' @@ -28,7 +28,7 @@ def pres2alt(pressure): Returns ------- altitude : scalar or Series - Altitude in meters above sea level + Altitude in meters above sea level Notes ------ @@ -64,7 +64,7 @@ def alt2pres(altitude): Parameters ---------- Altitude : scalar or Series - Altitude in meters above sea level + Altitude in meters above sea level Returns ------- @@ -100,7 +100,7 @@ def alt2pres(altitude): def absoluteairmass(airmass_relative, pressure=101325.): ''' - Determine absolute (pressure corrected) airmass from relative + Determine absolute (pressure corrected) airmass from relative airmass and pressure Gives the airmass for locations not at sea-level (i.e. not at standard @@ -108,18 +108,18 @@ def absoluteairmass(airmass_relative, pressure=101325.): input argument "pressure" is the pressure (in Pascals) at the location of interest and must be greater than 0. The calculation for absolute airmass is - + .. math:: absolute airmass = (relative airmass)*pressure/101325 Parameters ---------- - airmass_relative : scalar or Series - The airmass at sea-level. + airmass_relative : scalar or Series + The airmass at sea-level. pressure : scalar or Series - The site pressure in Pascal. + The site pressure in Pascal. Returns ------- @@ -128,7 +128,7 @@ def absoluteairmass(airmass_relative, pressure=101325.): References ---------- - [1] C. Gueymard, "Critical analysis and performance assessment of + [1] C. Gueymard, "Critical analysis and performance assessment of clear sky solar irradiance models using theoretical and measured data," Solar Energy, vol. 51, pp. 121-138, 1993. @@ -143,27 +143,27 @@ def relativeairmass(zenith, model='kastenyoung1989'): ''' Gives the relative (not pressure-corrected) airmass - Gives the airmass at sea-level when given a sun zenith angle, z (in - degrees). + Gives the airmass at sea-level when given a sun zenith angle, z (in + degrees). The "model" variable allows selection of different airmass models - (described below). "model" must be a valid string. If "model" is not + (described below). "model" must be a valid string. If "model" is not included or is not valid, the default model is 'kastenyoung1989'. Parameters ---------- - zenith : float or Series - Zenith angle of the sun in degrees. + zenith : float or Series + Zenith angle of the sun in degrees. Note that some models use the apparent (refraction corrected) zenith angle, and some models use the true (not refraction-corrected) zenith angle. See model descriptions to determine which type of zenith angle is required. Apparent zenith angles must be calculated at sea level. - - model : String + + model : String Available models include the following: - + * 'simple' - secant(apparent zenith angle) - Note that this gives -inf at zenith=90 * 'kasten1966' - See reference [1] - requires apparent sun zenith @@ -175,8 +175,8 @@ def relativeairmass(zenith, model='kastenyoung1989'): Returns ------- - airmass_relative : float or Series - Relative airmass at sea level. Will return NaN values for any + airmass_relative : float or Series + Relative airmass at sea level. Will return NaN values for any zenith angle greater than 90 degrees. References @@ -187,31 +187,31 @@ def relativeairmass(zenith, model='kastenyoung1989'): Army Material Command, CRREL. [2] A. T. Young and W. M. Irvine, "Multicolor Photoelectric Photometry - of the Brighter Planets," The Astronomical Journal, vol. 72, + of the Brighter Planets," The Astronomical Journal, vol. 72, pp. 945-950, 1967. [3] Fritz Kasten and Andrew Young. "Revised optical air mass tables and approximation formula". Applied Optics 28:4735-4738 - [4] C. Gueymard, "Critical analysis and performance assessment of + [4] C. Gueymard, "Critical analysis and performance assessment of clear sky solar irradiance models using theoretical and measured data," Solar Energy, vol. 51, pp. 121-138, 1993. - [5] A. T. Young, "AIR-MASS AND REFRACTION," Applied Optics, vol. 33, + [5] A. T. Young, "AIR-MASS AND REFRACTION," Applied Optics, vol. 33, pp. 1108-1110, Feb 1994. [6] Keith A. Pickering. "The Ancient Star Catalog". DIO 12:1, 20, - + [7] Matthew J. Reno, Clifford W. Hansen and Joshua S. Stein, "Global Horizontal Irradiance Clear Sky Models: Implementation and Analysis" Sandia Report, (2012). ''' - + z = zenith zenith_rad = np.radians(z) - + model = model.lower() - + if 'kastenyoung1989' == model: AM = ( 1.0 / (np.cos(zenith_rad) + 0.50572*(((6.07995 + (90 - z)) ** - 1.6364))) ) @@ -239,12 +239,12 @@ def relativeairmass(zenith, model='kastenyoung1989'): model) AM = ( 1.0 / (np.cos(zenith_rad) + 0.50572*(((6.07995 + (90 - z)) ** - 1.6364))) ) - + try: AM[z > 90] = np.nan except TypeError: AM = np.nan if z > 90 else AM - + return AM @@ -264,17 +264,17 @@ def transmittance(cloud_prct): ------- value: float Shortwave radiation transmittance. - + References ---------- - [1] Campbell, G. S., J. M. Norman (1998) An Introduction to + [1] Campbell, G. S., J. M. Norman (1998) An Introduction to Environmental Biophysics. 2nd Ed. New York: Springer. [2] Gates, D. M. (1980) Biophysical Ecology. New York: Springer Verlag. [3] Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and characteristic distribution of direct, diffuse, and total solar - radiation". Solar Energy 4:1-19 + radiation". Solar Energy 4:1-19 ''' return ((100.0 - cloud_prct) / 100.0) * 0.75 diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py index 99333b5f1b..a625f9937c 100644 --- a/pvlib/irradiance.py +++ b/pvlib/irradiance.py @@ -1307,12 +1307,12 @@ def _get_perez_coefficients(perezmodelt): def disc(ghi, zenith, times, pressure=101325): ''' - Estimate Direct Normal Irradiance from Global Horizontal Irradiance + Estimate Direct Normal Irradiance from Global Horizontal Irradiance using the DISC model. The DISC algorithm converts global horizontal irradiance to direct normal irradiance through empirical relationships between the global - and direct clearness indices. + and direct clearness indices. Parameters ---------- @@ -1321,62 +1321,62 @@ def disc(ghi, zenith, times, pressure=101325): Global horizontal irradiance in W/m^2. solar_zenith : Series - True (not refraction - corrected) solar zenith - angles in decimal degrees. + True (not refraction - corrected) solar zenith + angles in decimal degrees. times : DatetimeIndex pressure : float or Series Site pressure in Pascal. - Returns + Returns ------- DataFrame with the following keys: - * ``dni``: The modeled direct normal irradiance + * ``dni``: The modeled direct normal irradiance in W/m^2 provided by the - Direct Insolation Simulation Code (DISC) model. - * ``kt``: Ratio of global to extraterrestrial + Direct Insolation Simulation Code (DISC) model. + * ``kt``: Ratio of global to extraterrestrial irradiance on a horizontal plane. * ``airmass``: Airmass References ---------- - [1] Maxwell, E. L., "A Quasi-Physical Model for Converting Hourly - Global Horizontal to Direct Normal Insolation", Technical - Report No. SERI/TR-215-3087, Golden, CO: Solar Energy Research + [1] Maxwell, E. L., "A Quasi-Physical Model for Converting Hourly + Global Horizontal to Direct Normal Insolation", Technical + Report No. SERI/TR-215-3087, Golden, CO: Solar Energy Research Institute, 1987. - [2] J.W. "Fourier series representation of the position of the sun". + [2] J.W. "Fourier series representation of the position of the sun". Found at: http://www.mail-archive.com/sundial@uni-koeln.de/msg01050.html on January 12, 2012 - See Also - -------- - atmosphere.alt2pres + See Also + -------- + atmosphere.alt2pres dirint ''' pvl_logger.debug('clearsky.disc') - + temp = pd.DataFrame(index=times, columns=['A','B','C'], dtype=float) doy = times.dayofyear - + DayAngle = 2. * np.pi*(doy - 1) / 365 - + re = (1.00011 + 0.034221*np.cos(DayAngle) + 0.00128*np.sin(DayAngle) + 0.000719*np.cos(2.*DayAngle) + 7.7e-05*np.sin(2.*DayAngle) ) - + I0 = re * 1370. I0h = I0 * np.cos(np.radians(zenith)) - + Ztemp = zenith.copy() Ztemp[zenith > 87] = np.NaN - + AM = 1.0 / ( np.cos(np.radians(Ztemp)) + 0.15*( (93.885 - Ztemp)**(-1.253) ) ) * (pressure / 101325) - + Kt = ghi / I0h Kt[Kt < 0] = 0 Kt[Kt > 2] = np.NaN @@ -1389,10 +1389,10 @@ def disc(ghi, zenith, times, pressure=101325): temp.C[Kt <= 0.6] = -0.28 + 0.932*(Kt[Kt <= 0.6]) - 2.048*(Kt[Kt <= 0.6] ** 2) delKn = temp.A + temp.B * np.exp(temp.C*AM) - + Knc = 0.866 - 0.122*(AM) + 0.0121*(AM ** 2) - 0.000653*(AM ** 3) + 1.4e-05*(AM ** 4) Kn = Knc - delKn - + dni = Kn * I0 dni[zenith > 87] = np.NaN @@ -1403,14 +1403,14 @@ def disc(ghi, zenith, times, pressure=101325): dfout['airmass'] = AM return dfout - -def dirint(ghi, zenith, times, pressure=101325, use_delta_kt_prime=True, + +def dirint(ghi, zenith, times, pressure=101325, use_delta_kt_prime=True, temp_dew=None): """ - Determine DNI from GHI using the DIRINT modification + Determine DNI from GHI using the DIRINT modification of the DISC model. - + Implements the modified DISC model known as "DIRINT" introduced in [1]. DIRINT predicts direct normal irradiance (DNI) from measured global horizontal irradiance (GHI). DIRINT improves upon the DISC model by @@ -1419,22 +1419,22 @@ def dirint(ghi, zenith, times, pressure=101325, use_delta_kt_prime=True, information provided. Parameters - ---------- + ---------- ghi : pd.Series - Global horizontal irradiance in W/m^2. - + Global horizontal irradiance in W/m^2. + zenith : pd.Series True (not refraction-corrected) zenith angles in decimal degrees. If Z is a vector it must be of the same size as all other vector inputs. Z must be >=0 and <=180. - + times : DatetimeIndex - + pressure : float or pd.Series - The site pressure in Pascal. - Pressure may be measured or an average pressure may be + The site pressure in Pascal. + Pressure may be measured or an average pressure may be calculated from site altitude. - + use_delta_kt_prime : bool Indicates if the user would like to utilize the time-series nature of the GHI measurements. A value of ``False`` @@ -1444,13 +1444,13 @@ def dirint(ghi, zenith, times, pressure=101325, use_delta_kt_prime=True, than 1.5 hours. If none of the input arguments are vectors, then time-series improvements are not used (because it's not a time-series). - - temp_dew : None, float, or pd.Series - Surface dew point temperatures, in degrees C. + + temp_dew : None, float, or pd.Series + Surface dew point temperatures, in degrees C. Values of temp_dew may be numeric or NaN. Any single time period point with a DewPtTemp=NaN does not have dew point - improvements applied. If DewPtTemp is not provided, then dew point - improvements are not applied. + improvements applied. If DewPtTemp is not provided, then dew point + improvements are not applied. Returns ------- @@ -1461,57 +1461,57 @@ def dirint(ghi, zenith, times, pressure=101325, use_delta_kt_prime=True, References ---------- [1] Perez, R., P. Ineichen, E. Maxwell, R. Seals and A. Zelenka, (1992). - "Dynamic Global-to-Direct Irradiance Conversion Models". ASHRAE + "Dynamic Global-to-Direct Irradiance Conversion Models". ASHRAE Transactions-Research Series, pp. 354-369 - [2] Maxwell, E. L., "A Quasi-Physical Model for Converting Hourly - Global Horizontal to Direct Normal Insolation", Technical - Report No. SERI/TR-215-3087, Golden, CO: Solar Energy Research + [2] Maxwell, E. L., "A Quasi-Physical Model for Converting Hourly + Global Horizontal to Direct Normal Insolation", Technical + Report No. SERI/TR-215-3087, Golden, CO: Solar Energy Research Institute, 1987. DIRINT model requires time series data (ie. one of the inputs must be a vector of length >2. """ - + pvl_logger.debug('clearsky.dirint') - + disc_out = disc(ghi, zenith, times) kt = disc_out['kt'] - + # Absolute Airmass, per the DISC model # Note that we calculate the AM pressure correction slightly differently # than Perez. He uses altitude, we use pressure (which we calculate # slightly differently) - airmass = (1./(tools.cosd(zenith) + 0.15*((93.885-zenith)**(-1.253))) * + airmass = (1./(tools.cosd(zenith) + 0.15*((93.885-zenith)**(-1.253))) * pressure/101325) - + coeffs = _get_dirint_coeffs() - + kt_prime = kt / (1.031 * np.exp(-1.4/(0.9+9.4/airmass)) + 0.1) kt_prime[kt_prime > 0.82] = 0.82 # From SRRL code. consider np.NaN kt_prime.fillna(0, inplace=True) pvl_logger.debug('kt_prime:\n%s', kt_prime) - - # wholmgren: + + # wholmgren: # the use_delta_kt_prime statement is a port of the MATLAB code. # I am confused by the abs() in the delta_kt_prime calculation. # It is not the absolute value of the central difference. if use_delta_kt_prime: delta_kt_prime = 0.5*( (kt_prime - kt_prime.shift(1)).abs() .add( - (kt_prime - kt_prime.shift(-1)).abs(), + (kt_prime - kt_prime.shift(-1)).abs(), fill_value=0)) else: delta_kt_prime = pd.Series(-1, index=times) - + if temp_dew is not None: w = pd.Series(np.exp(0.07 * temp_dew - 0.075), index=times) else: w = pd.Series(-1, index=times) - + # @wholmgren: the following bin assignments use MATLAB's 1-indexing. # Later, we'll subtract 1 to conform to Python's 0-indexing. - + # Create kt_prime bins kt_prime_bin = pd.Series(index=times) kt_prime_bin[(kt_prime>=0) & (kt_prime<0.24)] = 1 @@ -1521,7 +1521,7 @@ def dirint(ghi, zenith, times, pressure=101325, use_delta_kt_prime=True, kt_prime_bin[(kt_prime>=0.7) & (kt_prime<0.8)] = 5 kt_prime_bin[(kt_prime>=0.8) & (kt_prime<=1)] = 6 pvl_logger.debug('kt_prime_bin:\n%s', kt_prime_bin) - + # Create zenith angle bins zenith_bin = pd.Series(index=times) zenith_bin[(zenith>=0) & (zenith<25)] = 1 @@ -1531,7 +1531,7 @@ def dirint(ghi, zenith, times, pressure=101325, use_delta_kt_prime=True, zenith_bin[(zenith>=70) & (zenith<80)] = 5 zenith_bin[(zenith>=80)] = 6 pvl_logger.debug('zenith_bin:\n%s', zenith_bin) - + # Create the bins for w based on dew point temperature w_bin = pd.Series(index=times) w_bin[(w>=0) & (w<1)] = 1 @@ -1551,7 +1551,7 @@ def dirint(ghi, zenith, times, pressure=101325, use_delta_kt_prime=True, delta_kt_prime_bin[(delta_kt_prime>=0.3) & (delta_kt_prime<=1)] = 6 delta_kt_prime_bin[delta_kt_prime == -1] = 7 pvl_logger.debug('delta_kt_prime_bin:\n%s', delta_kt_prime_bin) - + # subtract 1 to account for difference between MATLAB-style bin # assignment and Python-style array lookup. dirint_coeffs = coeffs[kt_prime_bin-1, zenith_bin-1, @@ -1567,19 +1567,19 @@ def dirint(ghi, zenith, times, pressure=101325, use_delta_kt_prime=True, def _get_dirint_coeffs(): """ A place to stash the dirint coefficients. - + Returns ------- np.array with shape ``(6, 6, 7, 5)``. Ordering is ``[kt_prime_bin, zenith_bin, delta_kt_prime_bin, w_bin]`` """ - # To allow for maximum copy/paste from the MATLAB 1-indexed code, + # To allow for maximum copy/paste from the MATLAB 1-indexed code, # we create and assign values to an oversized array. # Then, we return the [1:, 1:, :, :] slice. - + coeffs = np.zeros((7,7,7,5)) - + coeffs[1,1,:,:] = [ [0.385230, 0.385230, 0.385230, 0.462880, 0.317440], [0.338390, 0.338390, 0.221270, 0.316730, 0.503650], @@ -1903,37 +1903,43 @@ def _get_dirint_coeffs(): [0.570000, 0.550000, 0.598800, 0.400000, 0.560150], [0.475230, 0.500000, 0.518640, 0.339970, 0.520230], [0.743440, 0.592190, 0.603060, 0.316930, 0.794390 ]] - + return coeffs[1:,1:,:,:] -def liujordan(zenith, cloud_prct, pressure=101325.): +def liujordan(zenith, cloud_prct, pressure=101325., dni_extra=1367.0): ''' - Determine DNI, DHI, GHI from extraterrestrial flux, transmittance, + Determine DNI, DHI, GHI from extraterrestrial flux, transmittance, and optical air mass number. - + Liu and Jordan, 1960, developed a simplified direct radiation model. - DHI is from an empirical equation for diffuse radiation from Liu and + DHI is from an empirical equation for diffuse radiation from Liu and Jordan, 1960. Parameters - ---------- - zenith : pd.Series + ---------- + zenith: pd.Series True (not refraction-corrected) zenith angles in decimal - degrees. If Z is a vector it must be of the same size as - all other vector inputs. Z must be >=0 and <=180. + degrees. If Z is a vector it must be of the same size as all + other vector inputs. Z must be >=0 and <=180. - cloud_prct : integer or float + cloud_prct: integer or float Cloud coverage in percentage, %. + pressure: float + Air pressure + + dni_extra: float + Direct irradiance incident at the top of the atmosphere. + Returns ------- - Pandas.DataFrame - Modeled direct normal irradiance, direct horizontal irradiance, and - global horizontal irradiance in W/m^2 + irradiance: DataFrame + Modeled direct normal irradiance, direct horizontal irradiance, + and global horizontal irradiance in W/m^2 References ---------- - [1] Campbell, G. S., J. M. Norman (1998) An Introduction to + [1] Campbell, G. S., J. M. Norman (1998) An Introduction to Environmental Biophysics. 2nd Ed. New York: Springer. [2] Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and @@ -1941,7 +1947,6 @@ def liujordan(zenith, cloud_prct, pressure=101325.): radiation". Solar Energy 4:1-19 ''' - dni_extra = 1367.0 # W m^-2 tao = atmosphere.transmittance(cloud_prct) airmass_relative = atmosphere.relativeairmass(zenith) airmass = atmosphere.absoluteairmass(airmass_relative, pressure=pressure) @@ -1951,24 +1956,3 @@ def liujordan(zenith, cloud_prct, pressure=101325.): ghi = dhi + dni * np.cos(np.radians(zenith)) return pd.DataFrame({'ghi': ghi, 'dni': dni, 'dhi': dhi}) - - -def cloudy_day_check(zenith, cloud_prct, pressure=101325.): - ''' - Determines if the sky is overcast. - - Returns - ------- - logical: bool - Is the sky is overcast. - - References - ---------- - [1] Campbell, G. S., J. M. Norman (1998) An Introduction to - Environmental Biophysics. 2nd Ed. New York: Springer. - ''' - - dni = liujordan(zenith, cloud_prct, pressure)['dni'] * \ - np.cos(np.radians(zenith)) - - return dni < 10.0 \ No newline at end of file diff --git a/pvlib/test/test_irradiance.py b/pvlib/test/test_irradiance.py index 69b3a99763..69e39f7145 100644 --- a/pvlib/test/test_irradiance.py +++ b/pvlib/test/test_irradiance.py @@ -143,11 +143,6 @@ def test_liujordan(): irradiance.liujordan(ephem_data['apparent_zenith'], cloud_prct) -def test_cloudy_day(): - cloud_prct = np.array([40]*len(ephem_data['zenith'])) - irradiance.cloudy_day_check(ephem_data['zenith'], cloud_prct) - - def test_total_irrad(): models = ['isotropic', 'klutcher', 'klucher', 'haydavies', 'reindl', 'king', 'perez'] @@ -155,7 +150,7 @@ def test_total_irrad(): for model in models: total = irradiance.total_irrad( - 32, 180, + 32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth'], dni=irrad_data['dni'], ghi=irrad_data['ghi'], dhi=irrad_data['dhi'], @@ -179,7 +174,7 @@ def test_globalinplane(): def test_disc_keys(): clearsky_data = clearsky.ineichen(times, tus, linke_turbidity=3) - disc_data = irradiance.disc(clearsky_data['ghi'], ephem_data['zenith'], + disc_data = irradiance.disc(clearsky_data['ghi'], ephem_data['zenith'], ephem_data.index) assert 'dni' in disc_data.columns assert 'kt' in disc_data.columns @@ -199,7 +194,7 @@ def test_disc_value(): def test_dirint(): clearsky_data = clearsky.ineichen(times, tus, linke_turbidity=3) pressure = 93193. - dirint_data = irradiance.dirint(clearsky_data['ghi'], ephem_data['zenith'], + dirint_data = irradiance.dirint(clearsky_data['ghi'], ephem_data['zenith'], ephem_data.index, pressure=pressure) def test_dirint_value(): From d45268bc478558cdc5aff102414331256cd35015 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Thu, 18 Feb 2016 16:04:04 -0700 Subject: [PATCH 72/88] deleted unused images. now auto generated as appropriate --- docs/sphinx/source/images/fm_init.jpg | Bin 51182 -> 0 bytes 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z5-?|oSuuWynI;Ed`wZ3t-QGj)+AB>tRv9lW)_Gq}qY3Pbw9Q|3O z@M-*7TS~%UR+m(dLYD$3R_EN$aICR@$=$Mfk0Pe&=0`qJjHG_A6Hl&6Y;w`Y*PHuv z1%jf3I7GIn>k&C5+Tw-}c%eS5>^jH=!Q&zjLhzsq_>`h;@&s7Vm z(h3FypT|G_JUMZ*vM=aESeXy|V;T4cd0FlR-I1AXh=n!SEI|j}i>h1;?CGm5^h{Jo z!R~0!j2X8WHa=xWbCXwl@EF@1H;vN41$J0)(q;r1degbanzwp|WwY_7-Gt(Uun z<-M}+4!8lK`JrCiiz1eWr;N2@AohAs`QcutOaXwHK(h;1)*s%Y05{xtJ|%%_?(GI+ zN_6$hLQ#636;XTXoCaC{$P&6mE7wfRj_ z2IFHD!Ndz9fd8BwiI~6H)pXy^-tZi{Yql=9drtmdTlS7}eqZ&KeWCHL0{c#H;p3$) zUOxP>1Bv?R;l|jSg5m&e8`Mr#{&sA}f@uTcnr?)*-{-lNkrM3&HaXX!QVMW(dE&#X zB?vrdW#ATDjOn1#Cx@~8Ob3g`W4y`MDGzqxSnaF~%(-``VA)qS@oEt|`V4|(3;leLwCi$}eO^!SF;~1{yde#sD85sB zBjQ8D(^og1d!ZorU!2z@Vk%iJ+MA~6rjrW7+6~eiS?AaHA9oXcME0ag?=RiYN@!-O z=P$?+*-Kt5+DP(UARp;BnkYN1n^WxYvU;(CAlI>YKuQv}kKoK)jX$6~uyN;fJqwhhwU6wrP+*Pq8uB}`LK=exQ|h5D*lmYbEb@juHO9K;bQ4+EVH=kkT4jGReZ@%te z?3om&*nIXK5IBd&obG(J8kVqY_Bl?x&THjDkC{yhDm?#fre(_5h#KouXTp2Gy1Cup zjXVN4%Mflo2y4!maoLN~6=A`Y<8AY~3!Z Date: Thu, 18 Feb 2016 16:09:13 -0700 Subject: [PATCH 73/88] clean up gitattributes --- .gitattributes | 1 - 1 file changed, 1 deletion(-) delete mode 100644 .gitattributes diff --git a/.gitattributes b/.gitattributes deleted file mode 100644 index 7c92745f88..0000000000 --- a/.gitattributes +++ /dev/null @@ -1 +0,0 @@ -pvlib/_version.py export-subst From a9a2ed5ac98624bf21dc6be2b70dcd825e1bc9db Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Tue, 23 Feb 2016 15:36:42 -0700 Subject: [PATCH 74/88] use conda-forge channel instead of unidata --- ci/requirements-py27.yml | 4 ++-- ci/requirements-py34.yml | 2 +- ci/requirements-py35.yml | 3 ++- docs/environment.yml | 2 +- 4 files changed, 6 insertions(+), 5 deletions(-) diff --git a/ci/requirements-py27.yml b/ci/requirements-py27.yml index c01d2966c3..9c162e680f 100644 --- a/ci/requirements-py27.yml +++ b/ci/requirements-py27.yml @@ -1,9 +1,9 @@ name: test_env channels: - defaults - - http://conda.anaconda.org/Unidata + - http://conda.anaconda.org/conda-forge dependencies: - - python=2.7 + - python=2.7 - numpy - scipy - pandas diff --git a/ci/requirements-py34.yml b/ci/requirements-py34.yml index 2b27f722fc..0fc5d4b205 100644 --- a/ci/requirements-py34.yml +++ b/ci/requirements-py34.yml @@ -1,7 +1,7 @@ name: test_env channels: - defaults - - http://conda.anaconda.org/Unidata + - http://conda.anaconda.org/conda-forge dependencies: - python=3.4 - numpy diff --git a/ci/requirements-py35.yml b/ci/requirements-py35.yml index 2ddce752ba..140d6a3a6c 100644 --- a/ci/requirements-py35.yml +++ b/ci/requirements-py35.yml @@ -1,7 +1,7 @@ name: test_env channels: - defaults - - http://conda.anaconda.org/Unidata + - http://conda.anaconda.org/conda-forge dependencies: - python=3.5 - numpy @@ -11,5 +11,6 @@ dependencies: - pytz - ephem - numba + - siphon - pip: - coveralls \ No newline at end of file diff --git a/docs/environment.yml b/docs/environment.yml index b3f8257f77..3ce157e8f7 100644 --- a/docs/environment.yml +++ b/docs/environment.yml @@ -1,7 +1,7 @@ name: pvlib channels: - defaults - - http://conda.anaconda.org/unidata + - http://conda.anaconda.org/conda-forge dependencies: - python=2.7 - numpy From c7ce0635a44eb7da49326e05314b4f266f13fdcd Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Tue, 23 Feb 2016 16:07:32 -0700 Subject: [PATCH 75/88] add conda forge to appveyor --- appveyor.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/appveyor.yml b/appveyor.yml index 27ca25a7cf..f52c738101 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -31,7 +31,8 @@ install: - "python --version" - "python -c \"import struct; print(struct.calcsize('P') * 8)\"" - # install xray and depenencies + # install dependencies, then pvlib + - "conda config --add channels http://conda.anaconda.org/conda-forge" - "conda install --yes --quiet pip numpy scipy pandas nose pytz ephem numba siphon" - "python setup.py install" From 5e84d0b84f91b6993e8e49aa0c615533e3173746 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Thu, 31 Mar 2016 18:57:06 -0700 Subject: [PATCH 76/88] create v0.4.0 whatsnew --- docs/sphinx/source/whatsnew/v0.4.0.txt | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 docs/sphinx/source/whatsnew/v0.4.0.txt diff --git a/docs/sphinx/source/whatsnew/v0.4.0.txt b/docs/sphinx/source/whatsnew/v0.4.0.txt new file mode 100644 index 0000000000..7d86864fe2 --- /dev/null +++ b/docs/sphinx/source/whatsnew/v0.4.0.txt @@ -0,0 +1,17 @@ +.. _whatsnew_0400: + +v0.4.0 (2016) +------------------------- + + + +Enhancements +~~~~~~~~~~~~ + +* Added ''forecast.py'' module which defines forecast model classes. + +Contributors +~~~~~~~~~~~~ + +* Derek Groenendyk +* Will Holmgren From 6c79341d1d172ab7671a58dba487c4446113d03c Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Thu, 31 Mar 2016 18:57:25 -0700 Subject: [PATCH 77/88] update forecast module for 0.3 changes --- pvlib/forecast.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/pvlib/forecast.py b/pvlib/forecast.py index fbb59e86af..ad615a1a5f 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -11,7 +11,6 @@ from pvlib.location import Location from pvlib.tools import localize_to_utc -from pvlib.solarposition import get_solarposition from pvlib.irradiance import liujordan from siphon.catalog import TDSCatalog from siphon.ncss import NCSS @@ -362,7 +361,7 @@ def calc_radiation(self, data, cloud_type='total_clouds'): Type of cloud cover to use for calculating radiation values. ''' self.rad_type = {} - self.solar_position = get_solarposition(self.time, self.location) + self.solar_position = self.location.get_solarposition(self.time) if self.model_name == 'HRRR_ESRL': # HRRR_ESRL is the only model with the From 6c1f5294361260bdc72789f17f145d2bdba38bfd Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Thu, 31 Mar 2016 19:02:02 -0700 Subject: [PATCH 78/88] fix appveyor config file --- appveyor.yml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/appveyor.yml b/appveyor.yml index 11d3654938..d19793f9ab 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -31,16 +31,12 @@ install: - "python --version" - "python -c \"import struct; print(struct.calcsize('P') * 8)\"" -<<<<<<< HEAD # install dependencies, then pvlib - "conda config --add channels http://conda.anaconda.org/conda-forge" - - "conda install --yes --quiet pip numpy scipy pandas nose pytz ephem numba siphon" -======= # install depenencies - - "conda install --yes --quiet pip numpy scipy=0.16.0 pandas nose pytz ephem numba" + - "conda install --yes --quiet pip numpy scipy=0.16.0 pandas nose pytz ephem numba siphon" # install pvlib ->>>>>>> pvlib/master - "python setup.py install" build: false From ee61321a610fe7a67f37a780a2a5676758eabf05 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Fri, 1 Apr 2016 08:32:50 -0700 Subject: [PATCH 79/88] clean up merge --- .../sphinx/source/comparison_pvlib_matlab.rst | 115 +++++++++++------- docs/sphinx/source/modules.rst | 11 +- 2 files changed, 73 insertions(+), 53 deletions(-) diff --git a/docs/sphinx/source/comparison_pvlib_matlab.rst b/docs/sphinx/source/comparison_pvlib_matlab.rst index f947ef7c56..f66ae68b09 100644 --- a/docs/sphinx/source/comparison_pvlib_matlab.rst +++ b/docs/sphinx/source/comparison_pvlib_matlab.rst @@ -4,49 +4,78 @@ Comparison with PVLIB MATLAB **************************** -This document is under construction. -Please see our -`PVSC 2014 paper `_ -and -`PVSC 2015 abstract `_ -for more information. - -The pvlib-python license is BSD 3-clause, -the PVLIB\_MATLAB license is ??. - -We want to keep developing the core functionality and algorithms -of the Python and MATLAB projects roughly in parallel, -but we're not making any promises at this point. -The PVLIB\_MATLAB and pvlib-python projects are currently developed -by different teams that do not regularly work together. -We hope to grow this collaboration in the future. -Do not expect feature parity between the libaries, only similarity. - -Here are some of the major differences between the latest pvlib-python build -and the original Sandia PVLIB\_Python project, but many of these -comments apply to the difference between pvlib-python and PVLIB\_MATLAB. - - -Library wide changes -~~~~~~~~~~~~~~~~~~~~ - -* Remove ``pvl_`` from module names. -* Consolidation of similar modules. For example, functions from ``pvl_clearsky_ineichen.py`` and ``pvl_clearsky_haurwitz.py`` have been consolidated into ``clearsky.py``. -* Removed ``Vars=Locals(); Expect...; var=pvl\_tools.Parse(Vars,Expect);`` pattern. Very few tests of input validitity remain. Garbage in, garbage or ``nan`` out. -* Removing unnecssary and sometimes undesired behavior such as setting maximum zenith=90 or airmass=0. Instead, we make extensive use of ``nan`` values. -* Changing function and module names so that they do not conflict. -* Added ``/pvlib/data`` for lookup tables, test, and tutorial data. -* Added ''forecast.py'' module, for downloading UNIDATA weather forecast data. - - -More specific changes -~~~~~~~~~~~~~~~~~~~~~ - -* Add PyEphem option to solar position calculations. -* ``irradiance.py`` has more AOI, projection, and irradiance sum and calculation functions -* Locations are now ``pvlib.location.Location`` objects, not structs. -* Specify time zones using a string from the standard IANA Time Zone Database naming conventions or using a pytz.timezone instead of an integer GMT offset. We may add dateutils support in the future. -* ``clearsky.ineichen`` supports interpolating monthly Linke Turbidities to daily resolution. +PVLIB was originally developed as a library for MATLAB at Sandia +National Lab, and Sandia remains the official maintainer of the MATLAB +library. Sandia supported the initial Python port and +then released further project maintenance and development to the +`pvlib-python maintainers `_. + +The pvlib-python maintainers collaborate with the PVLIB MATLAB +maintainers but operate independently. We'd all like to keep the core +functionality of the Python and MATLAB projects synchronized, but this +will require the efforts of the larger pvlib-python community, not just +the maintainers. Therefore, do not expect feature parity between the +libaries, only similarity. + +The `PV_LIB Matlab help webpage `_ +is a good reference for this comparison. + +Missing functions +~~~~~~~~~~~~~~~~~ + +See pvlib-python GitHub `issue #2 +`_ for a list of +functions missing from the Python version of the library. + +Major differences +~~~~~~~~~~~~~~~~~ + +* pvlib-python uses git version control to track all changes + to the code. A summary of changes is included in the whatsnew file + for each release. PVLIB MATLAB documents changes in Changelog.docx +* pvlib-python has a comprehensive test suite, whereas PVLIB MATLAB does + not have a test suite at all. Specifically, pvlib-python + + * Uses TravisCI for automated testing on Linux. + * Uses Appveyor for automated testing on Windows. + * Uses Coveralls to measure test coverage. + +* Using readthedocs for automated documentation building and hosting. +* Removed ``pvl_`` from module/function names. +* Consolidated similar functions into topical modules. + For example, functions from ``pvl_clearsky_ineichen.m`` and + ``pvl_clearsky_haurwitz.m`` have been consolidated into ``clearsky.py``. +* PVLIB MATLAB uses ``location`` structs as the input to some functions. + pvlib-python just uses the lat, lon, etc. as inputs to the functions. + Furthermore, pvlib-python replaces the structs with classes, and these classes + have methods, such as :py:func:`~pvlib.location.Location.get_solarposition`, + that automatically reference the appropriate data. + See :ref:`modeling-paradigms` for more information. +* pvlib-python implements a handful of class designed to simplify the + PV modeling process. These include :py:class:`~pvlib.location.Location`, + :py:class:`~pvlib.pvsystem.PVSystem`, + :py:class:`~pvlib.pvsystem.LocalizedPVSystem`, + :py:class:`~pvlib.tracking.SingleAxisTracker`, + and + :py:class:`~pvlib.modelchain.ModelChain`. + +Other differences +~~~~~~~~~~~~~~~~~ + +* Very few tests of input validitity exist in the Python code. + We believe that the vast majority of these tests were not necessary. + We also make use of Python's robust support for raising and catching + exceptions. +* Removed unnecessary and sometimes undesired behavior such as setting + maximum zenith=90 or airmass=0. Instead, we make extensive use of + ``nan`` values in returned arrays. +* Implemented the NREL solar position calculation algorithm. + Also added a PyEphem option to solar position calculations. +* Specify time zones using a string from the standard IANA Time Zone + Database naming conventions or using a pytz.timezone instead of an + integer GMT offset. +* ``clearsky.ineichen`` supports interpolating monthly + Linke Turbidities to daily resolution. * Instead of requiring effective irradiance as an input, ``pvsystem.sapm`` calculates and returns it based on input POA irradiance, AM, and AOI. * pvlib-python does not come with as much example data. diff --git a/docs/sphinx/source/modules.rst b/docs/sphinx/source/modules.rst index cef8600b3b..e0a23ea8ac 100644 --- a/docs/sphinx/source/modules.rst +++ b/docs/sphinx/source/modules.rst @@ -17,8 +17,7 @@ clearsky :undoc-members: :show-inheritance: -<<<<<<< HEAD:docs/sphinx/source/pvlib.rst -forecast module +forecast ---------------- .. automodule:: pvlib.forecast @@ -26,10 +25,7 @@ forecast module :undoc-members: :show-inheritance: -irradiance module -======= irradiance ->>>>>>> pvlib/master:docs/sphinx/source/modules.rst ----------------- .. automodule:: pvlib.irradiance @@ -68,13 +64,8 @@ solarposition :members: :undoc-members: :show-inheritance: -<<<<<<< HEAD:docs/sphinx/source/pvlib.rst -tmy module -======= - tmy ->>>>>>> pvlib/master:docs/sphinx/source/modules.rst -------------------- .. automodule:: pvlib.tmy From 7d49655449b4a5ee7e0c7714d4d042677f2d06ad Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Fri, 1 Apr 2016 09:12:12 -0700 Subject: [PATCH 80/88] notes on geographic location. clean up --- docs/sphinx/source/forecasts.rst | 27 ++++++++++++++++----------- pvlib/forecast.py | 2 +- 2 files changed, 17 insertions(+), 12 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index bf0d8b64e5..5d0c397555 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -150,12 +150,11 @@ recalculate the irradiance. .. ipython:: python - from pvlib import solarposition from pvlib import irradiance total_clouds = data['total_clouds'].resample('5min').interpolate() - solar_position = solarposition.get_solarposition(total_clouds.index, model.location) + solar_position = model.location.get_solarposition(total_clouds.index) irrad_data = irradiance.liujordan(solar_position['apparent_zenith'], total_clouds) - irrad_data.plot(); + irrad_data[irrad_vars].plot(); plt.ylabel('Irradiance ($W/m^2$)'); plt.xlabel('Forecast Time ({})'.format(tz)); plt.title('GFS 0.5 deg forecast for lat={}, lon={}' @@ -202,6 +201,7 @@ severe weather situations. A major upgrade to the HRRR model is expected in Spring, 2016. See the `NOAA ESRL HRRR page `_ for more information. Use the HRRR, among others, if you want forecasts for less than 24 hours. +The HRRR model covers the continental United States. .. ipython:: python @@ -226,6 +226,7 @@ excels in severe weather situations. A major upgrade to the RAP model is expected in Spring, 2016. See the `NOAA ESRL HRRR page `_ for more information. Use the RAP, among others, if you want forecasts for less than 24 hours. +The RAP model covers most of North America. .. ipython:: python @@ -246,6 +247,7 @@ NAM The North American Mesoscale model is a somewhat older model that is target of frequent criticism, justly or not. It is updated every 6 hours and runs at 20 km resolution. Use the NAM as part of an ensemble forecast. +The NAM model covers North America. .. ipython:: python @@ -267,6 +269,7 @@ The National Digital Forecast Database is not a model, but rather a collection of forecasts made by National Weather Service offices across the country. It is updated every 6 hours. Use the NDFD, among others, for forecasts at all time horizons. +The NDFD is available for the United States. .. ipython:: python @@ -292,7 +295,7 @@ for details. .. ipython:: python from pvlib.location import Location - from pvlib import pvsystem, irradiance, atmosphere, solarposition + from pvlib import pvsystem, irradiance, atmosphere surface_tilt = 30 surface_azimuth = 180 @@ -313,25 +316,27 @@ Now we need to calculate some PV modeling intermediates... time = forecast_data.index - solpos = solarposition.get_solarposition(time, model.location) + solpos = model.location.get_solarposition(time) dni_extra = irradiance.extraradiation(time) dni_extra = pd.Series(dni_extra, index=time) airmass = atmosphere.relativeairmass(solpos['apparent_zenith']) - poa_sky_diffuse = irradiance.haydavies(surface_tilt, surface_azimuth, - forecast_data['dhi'], forecast_data['dni'], dni_extra, - solpos['apparent_zenith'], solpos['azimuth']) + poa_sky_diffuse = irradiance.haydavies( + surface_tilt, surface_azimuth, forecast_data['dhi'], + forecast_data['dni'], dni_extra, solpos['apparent_zenith'], + solpos['azimuth']) - poa_ground_diffuse = irradiance.grounddiffuse(surface_tilt, forecast_data['ghi'], albedo=albedo) + poa_ground_diffuse = irradiance.grounddiffuse( + surface_tilt, forecast_data['ghi'], albedo=albedo) aoi = irradiance.aoi(surface_tilt, surface_azimuth, solpos['apparent_zenith'], solpos['azimuth']) # forecast plane of array irradiance - poa_irrad = irradiance.globalinplane(aoi, forecast_data['dni'], - poa_sky_diffuse, poa_ground_diffuse) + poa_irrad = irradiance.globalinplane( + aoi, forecast_data['dni'], poa_sky_diffuse, poa_ground_diffuse) poa_irrad.plot(); @savefig poa_irrad.png width=6in diff --git a/pvlib/forecast.py b/pvlib/forecast.py index ad615a1a5f..cd04b9c175 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -383,7 +383,7 @@ def calc_radiation(self, data, cloud_type='total_clouds'): self.data = self.data.drop(rads, axis=1) self.data = pd.concat([self.data, new_rads], axis=1) - for var in ['dni', 'dhi', 'ghi']: + for var in rads: self.var_units[var] = '$W m^{-2}$' def convert_temperature(self): From 07f8a7e297e208a0e378fc5bb056c0128fcdfcb6 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Sun, 3 Apr 2016 16:27:19 -0700 Subject: [PATCH 81/88] refactor forecast.py to be more explicit --- docs/sphinx/source/forecasts.rst | 139 +++--- pvlib/forecast.py | 718 +++++++++++++++++++------------ pvlib/test/test_forecast.py | 29 +- 3 files changed, 534 insertions(+), 352 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index 5d0c397555..82fa1baf71 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -93,10 +93,63 @@ from Unidata. model = GFS() # retrieve data. returns pandas.DataFrame object - data = model.get_query_data(latitude, longitude, start, end) + raw_data = model.get_data(latitude, longitude, start, end) + + print(raw_data.head()) + +The column names are long, temperature is in Kelvin, the wind speed is +broken into east/west and north/south components, and most importantly, the +irradiance data is missing. We can use a number of methods to fix this. + +.. ipython:: python + + data = raw_data + + # rename the columns according the key/value pairs in model.variables. + data = model.rename(data) + + # convert temperature + data['temperature'] = model.kelvin_to_celsius(data['temperature']) + + # convert wind + data['wind_speed'] = model.uv_to_speed(data) + + # uses Location.get_solarposition and irradiance.liujordan + # this step is discussed in more detail in the next section + irrad_data = model.cloud_cover_to_irradiance(data['total_clouds']) + data = data.join(irrad_data, how='outer') + + # keep only the final data + data = data.ix[:, model.output_variables] print(data.head()) +Much better. + +The GFS class's +:py:func:`~pvlib.forecast.GFS.process_data` method combines these steps +in a single function. In fact, each forecast model class +implements its own ``process_data`` method since the data from each +weather model is slightly different. The ``process_data`` functions are +designed to be explicit about how the data is being processed, and users +are **strongly** encouraged to read the source code of these methods. + +.. ipython:: python + + data = model.process_data(raw_data) + + print(data.head()) + +The forecast model classes also implement a +:py:func:`~pvlib.forecast.ForecastModel.get_processed_data` method that +combines the :py:func:`~pvlib.forecast.ForecastModel.get_data` and +:py:func:`~pvlib.forecast.ForecastModel.process_data` calls. + +.. ipython:: python + + data = model.get_processed_data(latitude, longitude, start, end) + + print(data.head()) Finally, we plot the GFS cloud cover data. @@ -206,7 +259,7 @@ The HRRR model covers the continental United States. .. ipython:: python model = HRRR() - data = model.get_query_data(latitude, longitude, start, end) + data = model.get_processed_data(latitude, longitude, start, end) data[irrad_vars].plot(); plt.ylabel('Irradiance ($W/m^2$)'); @@ -231,7 +284,7 @@ The RAP model covers most of North America. .. ipython:: python model = RAP() - data = model.get_query_data(latitude, longitude, start, end) + data = model.get_processed_data(latitude, longitude, start, end) data[irrad_vars].plot(); plt.ylabel('Irradiance ($W/m^2$)'); @@ -252,7 +305,7 @@ The NAM model covers North America. .. ipython:: python model = NAM() - data = model.get_query_data(latitude, longitude, start, end) + data = model.get_processed_data(latitude, longitude, start, end) data[irrad_vars].plot(); plt.ylabel('Irradiance ($W/m^2$)'); @@ -274,7 +327,7 @@ The NDFD is available for the United States. .. ipython:: python model = NDFD() - data = model.get_query_data(latitude, longitude, start, end) + data = model.get_processed_data(latitude, longitude, start, end) data[irrad_vars].plot(); plt.ylabel('Irradiance ($W/m^2$)'); @@ -294,75 +347,53 @@ for details. .. ipython:: python - from pvlib.location import Location - from pvlib import pvsystem, irradiance, atmosphere + from pvlib.pvsystem import PVSystem, retrieve_sam + from pvlib.modelchain import ModelChain - surface_tilt = 30 - surface_azimuth = 180 - albedo = 0.2 - - sandia_modules = pvsystem.retrieve_sam(name='SandiaMod') - sapm_inverters = pvsystem.retrieve_sam('sandiainverter') + sandia_modules = retrieve_sam(name='SandiaMod') + sapm_inverters = retrieve_sam('sandiainverter') module = sandia_modules['Canadian_Solar_CS5P_220M___2009_'] inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_'] - model = GFS() - forecast_data = model.get_query_data(latitude, longitude, start, end) - - -Now we need to calculate some PV modeling intermediates... - -.. ipython:: python - - time = forecast_data.index - - solpos = model.location.get_solarposition(time) - - dni_extra = irradiance.extraradiation(time) - dni_extra = pd.Series(dni_extra, index=time) + system = PVSystem(module_parameters=module, + inverter_parameters=inverter) - airmass = atmosphere.relativeairmass(solpos['apparent_zenith']) + # fx is a common abbreviation for forecast + fx_model = GFS() + fx_data = fx_model.get_processed_data(latitude, longitude, start, end) - poa_sky_diffuse = irradiance.haydavies( - surface_tilt, surface_azimuth, forecast_data['dhi'], - forecast_data['dni'], dni_extra, solpos['apparent_zenith'], - solpos['azimuth']) + # use a ModelChain object to calculate modeling intermediates + mc = ModelChain(system, fx_model.location, + orientation_strategy='south_at_latitude_tilt') - poa_ground_diffuse = irradiance.grounddiffuse( - surface_tilt, forecast_data['ghi'], albedo=albedo) + # extract relevant data for model chain + irradiance = fx_data[['ghi', 'dni', 'dhi']] + weather = fx_data[['wind_speed', 'temperature']].rename( + columns={'temperature':'temp_air'}) + mc.run_model(fx_data.index, irradiance=irradiance, weather=weather) - aoi = irradiance.aoi(surface_tilt, surface_azimuth, - solpos['apparent_zenith'], solpos['azimuth']) +Now we plot a couple of modeling intermediates and the forecast power. +Here's the forecast plane of array irradiance... - # forecast plane of array irradiance - poa_irrad = irradiance.globalinplane( - aoi, forecast_data['dni'], poa_sky_diffuse, poa_ground_diffuse) +.. ipython:: python - poa_irrad.plot(); + mc.total_irrad.plot(); @savefig poa_irrad.png width=6in plt.ylabel('Plane of array irradiance ($W/m**2$)') - # forecast module and cell temperatures, - # accounting for irrad, wind, and ambient temp - pvtemps = pvsystem.sapm_celltemp(poa_irrad['poa_global'], - forecast_data['wind_speed'], - forecast_data['temperature']) +...the cell and module temperature... - pvtemps.plot(); +.. ipython:: python + + mc.temps.plot(); @savefig pv_temps.png width=6in plt.ylabel('Temperature (C)') - -Finally, we can calculate DC and AC power. +...and finally AC power... .. ipython:: python - dc = pvsystem.sapm(module, poa_irrad['poa_direct'], poa_irrad['poa_diffuse'], - pvtemps['temp_cell'], airmass, aoi) - - ac = pvsystem.snlinverter(inverter, dc['v_mp'], dc['p_mp']) - - ac.plot(); + mc.ac.plot(); plt.ylim(0, None); @savefig ac_power.png width=6in plt.ylabel('AC Power (W)') diff --git a/pvlib/forecast.py b/pvlib/forecast.py index cd04b9c175..c524574f4f 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -10,14 +10,13 @@ from xml.etree.ElementTree import ParseError from pvlib.location import Location -from pvlib.tools import localize_to_utc from pvlib.irradiance import liujordan from siphon.catalog import TDSCatalog from siphon.ncss import NCSS class ForecastModel(object): - ''' + """ An object for querying and holding forecast model information for use within the pvlib library. @@ -40,8 +39,6 @@ class ForecastModel(object): The top level server address catalog_url : string The url path of the catalog to parse. - columns: list - List of headers used to create the data DataFrame. data: pd.DataFrame Data returned from the query. data_format: string @@ -53,7 +50,8 @@ class ForecastModel(object): datasets_list: list List of all available datasets. fm_models: Dataset - Object containing all available foreast models. + TDSCatalog object containing all available + forecast models from UNIDATA. fm_models_list: list List of all available forecast models from UNIDATA. latitude: list @@ -78,43 +76,35 @@ class ForecastModel(object): NCSS object used to complete the forecast data retrival. queryvariables: list Variables that are used to query the THREDDS Data Server. - rad_type: dictionary - Dictionary labeling the method used for calculating radiation values. - solar_position: DataFrame - Solar position for the forecast times. - time: datetime - Time range specified for the NCSS query. - utctime: DatetimeIndex - Time range in UTC. - var_stdnames: dictionary - Dictionary containing the standard names of the variables in the - query, where the keys are the common names. - var_units: dictionary - Dictionary containing the unites of the variables in the query, - where the keys are the common names. - variables: dictionary - Dictionary that translates model specific variables to - common named variables. + time: DatetimeIndex + Time range. + variables: dict + Defines the variables to obtain from the weather + model and how they should be renamed to common variable names. + units: dict + Dictionary containing the units of the standard variables + and the model specific variables. vert_level: float or integer Vertical altitude for query data. - wind_type: string - Quantity that was used to calculate wind_speed. - ''' + """ access_url_key = 'NetcdfSubset' catalog_url = 'http://thredds.ucar.edu/thredds/catalog.xml' base_tds_url = catalog_url.split('/thredds/')[0] data_format = 'netcdf' vert_level = 100000 - columns = ['temperature', - 'wind_speed', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', - 'dni', - 'dhi', - 'ghi', ] + + units = { + 'temperature': 'C', + 'wind_speed': 'm/s', + 'ghi': 'W/m^2', + 'ghi_raw': 'W/m^2', + 'dni': 'W/m^2', + 'dhi': 'W/m^2', + 'total_clouds': '%', + 'low_clouds': '%', + 'mid_clouds': '%', + 'high_clouds': '%'} def __init__(self, model_type, model_name, set_type): self.model_type = model_type @@ -193,9 +183,10 @@ def set_location(self, time): else: self.location = Location(self.latitude, self.longitude, tz=tzinfo) - def get_query_data(self, latitude, longitude, start, end, - vert_level=None, variables=None): - ''' + def get_data(self, latitude, longitude, start, end, + vert_level=None, query_variables=None, + close_netcdf_data=True): + """ Submits a query to the UNIDATA servers using Siphon NCSS and converts the netcdf data to a pandas DataFrame. @@ -211,92 +202,133 @@ def get_query_data(self, latitude, longitude, start, end, The end time. vert_level: None, float or integer Vertical altitude of interest. - variables: None or dict - Variables and common names being queried. + variables: None or list If None, uses self.variables. + close_netcdf_data: bool + Controls if the temporary netcdf data file should be closed. + Set to False to access the raw data. Returns ------- forecast_data : DataFrame - Contains columns: 'temperature', 'wind_speed', 'total_clouds', - 'low_clouds', 'mid_clouds', 'high_clouds', 'dni', 'dhi', 'ghi'. - ''' - + column names are the weather model's variable names. + """ if vert_level is not None: self.vert_level = vert_level - if variables is not None: - self.variables = variables - self.modelvariables = list(self.variables.keys()) - self.queryvariables = [self.variables[key] for key in - self.modelvariables] - self.columns = self.modelvariables - self.dataframe_variables = self.modelvariables + if query_variables is None: + self.query_variables = list(self.variables.values()) + else: + self.query_variables = query_variables self.latitude = latitude self.longitude = longitude self.set_query_latlon() # modifies self.query self.set_location(start) - self.start = localize_to_utc(start, self.location) - self.end = localize_to_utc(end, self.location) + self.start = start + self.end = end self.query.time_range(self.start, self.end) self.query.vertical_level(self.vert_level) - self.query.variables(*self.queryvariables) + self.query.variables(*self.query_variables) self.query.accept(self.data_format) - netcdf_data = self.ncss.get_data(self.query) + self.netcdf_data = self.ncss.get_data(self.query) - try: - time_var = 'time' - self.set_time(netcdf_data.variables[time_var]) - except KeyError: - # which model does this dumb thing? - time_var = 'time1' - self.set_time(netcdf_data.variables[time_var]) + # might be better to go to xarray here so that we can handle + # higher dimensional data for more advanced applications + self.data = self._netcdf2pandas(self.netcdf_data, self.query_variables) - self.data = self.netcdf2pandas(netcdf_data) + if close_netcdf_data: + self.netcdf_data.close() - self.set_variable_units(netcdf_data) - self.set_variable_stdnames(netcdf_data) + return self.data - if self.__class__.__name__ == 'HRRR': - self.calc_temperature(netcdf_data) - self.convert_temperature() - self.calc_wind(netcdf_data) - self.calc_radiation(netcdf_data) + def process_data(self, data, **kwargs): + """ + Defines the steps needed to convert raw forecast data + into processed forecast data. Most forecast models implement + their own version of this method which also call this one. - self.data = self.data.tz_convert(self.location.tz) + Parameters + ---------- + data: DataFrame + Raw forecast data - netcdf_data.close() + Returns + ------- + data: DataFrame + Processed forecast data. + """ + data = self.rename(data) + return data - return self.data + def get_processed_data(self, *args, **kwargs): + """ + Get and process forecast data. - def netcdf2pandas(self, data): - ''' - Transforms data from netcdf to pandas DataFrame. + Parameters + ---------- + *args: positional arguments + Passed to get_data + **kwargs: keyword arguments + Passed to get_data and process_data + + Returns + ------- + data: DataFrame + Processed forecast data + """ + return self.process_data(self.get_data(*args, **kwargs), **kwargs) + + def rename(self, data, variables=None): + """ + Renames the columns according the variable mapping. + + Parameters + ---------- + data: DataFrame + variables: None or dict + If None, uses self.variables - Currently only supports one-dimensional netcdf data. + Returns + ------- + data: DataFrame + Renamed data. + """ + if variables is None: + variables = self.variables + return data.rename(columns={y: x for x, y in variables.items()}) + + def _netcdf2pandas(self, netcdf_data, query_variables): + """ + Transforms data from netcdf to pandas DataFrame. Parameters ---------- data: netcdf Data returned from UNIDATA NCSS query. + query_variables: list + The variables requested. Returns ------- pd.DataFrame - ''' - if not self.lbox: - ''' one-dimensional data ''' - data_dict = {} - for var in self.dataframe_variables: - data_dict[var] = pd.Series( - data[self.variables[var]][:].squeeze(), index=self.utctime) - return pd.DataFrame(data_dict, columns=self.columns) - else: - return pd.DataFrame(columns=self.columns, index=self.utctime) + """ + # set self.time + try: + time_var = 'time' + self.set_time(netcdf_data.variables[time_var]) + except KeyError: + # which model does this dumb thing? + time_var = 'time1' + self.set_time(netcdf_data.variables[time_var]) + + data_dict = {key: data[:].squeeze() for key, data in + netcdf_data.variables.items() if key in query_variables} + + return pd.DataFrame(data_dict, index=self.time) def set_time(self, time): ''' @@ -312,143 +344,109 @@ def set_time(self, time): pandas.DatetimeIndex ''' times = num2date(time[:].squeeze(), time.units) - self.time = pd.DatetimeIndex(pd.Series(times), tz='UTC') - self.time = self.time.tz_convert(self.location.tz) - self.utctime = localize_to_utc(self.time, self.location.tz) - - def set_variable_units(self, data): - ''' - Extracts variable unit information from netcdf data. + self.time = pd.DatetimeIndex(pd.Series(times), tz=self.location.tz) + def cloud_cover_to_irradiance(self, cloud_cover): + """ Parameters ---------- - data: netcdf - Contains queried variable information. + cloud_cover: Series - ''' - self.var_units = {} - for var in self.variables: - self.var_units[var] = data[self.variables[var]].units + Returns + ------- + irradiance: DataFrame + keys include ghi, dni, dhi + """ + # in principle, get_solarposition could use the forecast + # pressure, temp, etc., but the cloud cover forecast is not + # accurate enough to justify using these minor corrections + self.solar_position = self.location.get_solarposition(self.time) - def set_variable_stdnames(self, data): - ''' - Extracts standard names from netcdf data. + rads = ['dni', 'dhi', 'ghi'] + new_rads = liujordan(self.solar_position['apparent_zenith'], + cloud_cover) + new_rads = new_rads.fillna(0) - Parameters - ---------- - data: netcdf - Contains queried variable information. + return new_rads - ''' - self.var_stdnames = {} - for var in self.variables: - try: - self.var_stdnames[var] = \ - data[self.variables[var]].standard_name - except AttributeError: - self.var_stdnames[var] = var - - def calc_radiation(self, data, cloud_type='total_clouds'): - ''' - Determines shortwave radiation values if they are missing from - the model data. + def kelvin_to_celsius(self, temperature): + """ + Converts Kelvin to celsius. Parameters ---------- - data: netcdf - Query data formatted in netcdf format. - cloud_type: string - Type of cloud cover to use for calculating radiation values. - ''' - self.rad_type = {} - self.solar_position = self.location.get_solarposition(self.time) - - if self.model_name == 'HRRR_ESRL': - # HRRR_ESRL is the only model with the - # correct equation of time. - for rad in ['dni', 'dhi', 'ghi']: - self.data[rad] = pd.Series( - data[self.variables[rad]][:].squeeze(), - index=self.time) - self.rad_type[rad] = 'forecast' - self.data[rad].fillna(0, inplace=True) - else: - cloud_prct = self.data[cloud_type] - rads = ['dni', 'dhi', 'ghi'] - for rad in rads: - self.rad_type[rad] = 'liujordan' - new_rads = liujordan(self.solar_position['apparent_zenith'], - cloud_prct) - new_rads = new_rads.fillna(0) - self.data = self.data.drop(rads, axis=1) - self.data = pd.concat([self.data, new_rads], axis=1) - - for var in rads: - self.var_units[var] = '$W m^{-2}$' - - def convert_temperature(self): - ''' - Converts Kelvin to celsius. - ''' + temperature: numeric - if ('Temperature_surface' in self.queryvariables or - 'Temperature_isobaric' in self.queryvariables): + Returns + ------- + temperature: numeric + """ + return temperature - 273.15 - self.data['temperature'] -= 273.15 - self.var_units['temperature'] = 'C' - - def calc_temperature(self, data): - ''' - Calculates temperature (in degrees C) from - isobaric temperature. + def isobaric_to_ambient_temperature(self, data): + """ + Calculates temperature from isobaric temperature. Parameters ---------- - data: netcdf - Query data in netcdf format. - ''' + data: DataFrame + Must contain columns pressure, temperature_iso, + temperature_dew_iso. Input temperature in K. - P = data['Pressure_surface'][:].squeeze() / 100.0 - Tiso = data['Temperature_isobaric'][:].squeeze() - Td = data['Dewpoint_temperature_isobaric'][:].squeeze() - 273.15 + Returns + ------- + temperature : Series + Temperature in K + """ + + P = data['pressure'] / 100.0 + Tiso = data['temperature_iso'] + Td = data['temperature_dew_iso'] - 273.15 e = 6.11 * 10**((7.5 * Td) / (Td + 273.3)) w = 0.622 * (e / (P - e)) T = Tiso - ((2.501 * 10.**6) / 1005.7) * w - self.data['temperature'] = T + return T - def calc_wind(self, data): - ''' - Computes wind speed. + def uv_to_speed(self, data): + """ + Computes wind speed from wind components. + + Parameters + ---------- + data : DataFrame + Must contain the columns 'wind_speed_u' and 'wind_speed_v'. + + Returns + ------- + wind_speed : Series + """ + wind_speed = np.sqrt(data['wind_speed_u']**2 + data['wind_speed_v']**2) + + return wind_speed - In some cases only gust wind speed is available. The wind_type - attribute will indicate the type of wind speed that is present. + def gust_to_speed(self, data, scaling=1/1.4): + """ + Computes standard wind speed from gust. + Very approximate and location dependent. Parameters ---------- - data: netcdf - Query data in netcdf format. - ''' - if not self.lbox: - if ('u-component_of_wind_isobaric' in self.queryvariables and - 'v-component_of_wind_isobaric' in self.queryvariables): + data : DataFrame + Must contain the column 'wind_speed_gust'. - wind_data = np.sqrt( - data['u-component_of_wind_isobaric'][:].squeeze()**2 + - data['v-component_of_wind_isobaric'][:].squeeze()**2) - self.wind_type = 'component' - elif 'Wind_speed_gust_surface' in self.queryvariables: - wind_data = data['Wind_speed_gust_surface'][:].squeeze() - self.wind_type = 'gust' + Returns + ------- + wind_speed : Series + """ + wind_speed = data['wind_speed_gust'] * scaling - if 'wind_speed' in self.data: - self.data['wind_speed'] = pd.Series(wind_data, index=self.time) - self.var_units['wind_speed'] = 'm/s' + return wind_speed class GFS(ForecastModel): - ''' + """ Subclass of the ForecastModel class representing GFS forecast model. @@ -469,14 +467,13 @@ class GFS(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - modelvariables: list - Common variable names. - queryvariables: list - Names of default variables specific to the model. - variables: dictionary - Dictionary of common variables that reference the model - specific variables. - ''' + variables: dict + Defines the variables to obtain from the weather + model and how they should be renamed to common variable names. + units: dict + Dictionary containing the units of the standard variables + and the model specific variables. + """ _resolutions = ['Half', 'Quarter'] @@ -500,24 +497,48 @@ def __init__(self, resolution='half', set_type='best'): 'high_clouds': 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', 'boundary_clouds': 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', 'convect_clouds': 'Total_cloud_cover_convective_cloud', - 'ghi': 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', } - self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in - self.modelvariables] - self.dataframe_variables = [ + 'ghi_raw': 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', } + + self.output_variables = [ 'temperature', + 'wind_speed', + 'ghi', + 'dni', + 'dhi', 'total_clouds', 'low_clouds', 'mid_clouds', - 'high_clouds', - 'boundary_clouds', - 'convect_clouds', - 'ghi', ] + 'high_clouds',] + super(GFS, self).__init__(model_type, model, set_type) + def process_data(self, data, cloud_cover='total_clouds', **kwargs): + """ + Defines the steps needed to convert raw forecast data + into processed forecast data. + + Parameters + ---------- + data: DataFrame + Raw forecast data + cloud_cover: str + The type of cloud cover used to infer the irradiance. + + Returns + ------- + data: DataFrame + Processed forecast data. + """ + data = super(GFS, self).process_data(data, **kwargs) + data['temperature'] = self.kelvin_to_celsius(data['temperature']) + data['wind_speed'] = self.uv_to_speed(data) + data = data.join(self.cloud_cover_to_irradiance(data[cloud_cover]), + how='outer') + return data.ix[:, self.output_variables] + class HRRR_ESRL(ForecastModel): - ''' + """ Subclass of the ForecastModel class representing NOAA/GSD/ESRL's HRRR forecast model. This is not an operational product. @@ -538,14 +559,13 @@ class HRRR_ESRL(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - modelvariables: list - Common variable names. - queryvariables: list - Names of default variables specific to the model. - variables: dictionary - Dictionary of common variables that reference the model - specific variables. - ''' + variables: dict + Defines the variables to obtain from the weather + model and how they should be renamed to common variable names. + units: dict + Dictionary containing the units of the standard variables + and the model specific variables. + """ def __init__(self, set_type='best'): import warnings @@ -553,6 +573,7 @@ def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'GSD HRRR CONUS 3km surface' + self.variables = { 'temperature': 'Temperature_surface', 'wind_speed_gust': 'Wind_speed_gust_surface', @@ -560,22 +581,50 @@ def __init__(self, set_type='best'): 'low_clouds': 'Low_cloud_cover_UnknownLevelType-214', 'mid_clouds': 'Medium_cloud_cover_UnknownLevelType-224', 'high_clouds': 'High_cloud_cover_UnknownLevelType-234', - 'ghi': 'Downward_short-wave_radiation_flux_surface', } - self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in - self.modelvariables] - self.dataframe_variables = [ + 'ghi_raw': 'Downward_short-wave_radiation_flux_surface', } + + self.output_variables = [ 'temperature', + 'wind_speed' + 'ghi_raw', + 'ghi', + 'dni', + 'dhi', 'total_clouds', 'low_clouds', 'mid_clouds', - 'high_clouds', - 'ghi', ] + 'high_clouds',] + super(HRRR_ESRL, self).__init__(model_type, model, set_type) + def process_data(self, data, cloud_cover='total_clouds', **kwargs): + """ + Defines the steps needed to convert raw forecast data + into processed forecast data. + + Parameters + ---------- + data: DataFrame + Raw forecast data + cloud_cover: str + The type of cloud cover used to infer the irradiance. + + Returns + ------- + data: DataFrame + Processed forecast data. + """ + + data = super(HRRR_ESRL, self).process_data(data, **kwargs) + data['temperature'] = self.kelvin_to_celsius(data['temperature']) + data['wind_speed'] = self.gust_to_speed(data) + data = data.join(self.cloud_cover_to_irradiance(data[cloud_cover]), + how='outer') + return data.ix[:, self.output_variables] + class NAM(ForecastModel): - ''' + """ Subclass of the ForecastModel class representing NAM forecast model. @@ -595,18 +644,18 @@ class NAM(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - modelvariables: list - Common variable names. - queryvariables: list - Names of default variables specific to the model. - variables: dictionary - Dictionary of common variables that reference the model - specific variables. - ''' + variables: dict + Defines the variables to obtain from the weather + model and how they should be renamed to common variable names. + units: dict + Dictionary containing the units of the standard variables + and the model specific variables. + """ def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'NAM CONUS 12km from CONDUIT' + self.variables = { 'temperature': 'Temperature_surface', 'wind_speed_gust': 'Wind_speed_gust_surface', @@ -614,22 +663,49 @@ def __init__(self, set_type='best'): 'low_clouds': 'Low_cloud_cover_low_cloud', 'mid_clouds': 'Medium_cloud_cover_middle_cloud', 'high_clouds': 'High_cloud_cover_high_cloud', - 'ghi': 'Downward_Short-Wave_Radiation_Flux_surface', } - self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in - self.modelvariables] - self.dataframe_variables = [ + 'ghi_raw': 'Downward_Short-Wave_Radiation_Flux_surface', } + + self.output_variables = [ 'temperature', + 'wind_speed', + 'ghi', + 'dni', + 'dhi', 'total_clouds', 'low_clouds', 'mid_clouds', - 'high_clouds', - 'ghi', ] + 'high_clouds',] + super(NAM, self).__init__(model_type, model, set_type) + def process_data(self, data, cloud_cover='total_clouds', **kwargs): + """ + Defines the steps needed to convert raw forecast data + into processed forecast data. + + Parameters + ---------- + data: DataFrame + Raw forecast data + cloud_cover: str + The type of cloud cover used to infer the irradiance. + + Returns + ------- + data: DataFrame + Processed forecast data. + """ + + data = super(NAM, self).process_data(data, **kwargs) + data['temperature'] = self.kelvin_to_celsius(data['temperature']) + data['wind_speed'] = self.gust_to_speed(data) + data = data.join(self.cloud_cover_to_irradiance(data[cloud_cover]), + how='outer') + return data.ix[:, self.output_variables] + class HRRR(ForecastModel): - ''' + """ Subclass of the ForecastModel class representing HRRR forecast model. @@ -649,21 +725,21 @@ class HRRR(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - modelvariables: list - Common variable names. - queryvariables: list - Names of default variables specific to the model. - variables: dictionary - Dictionary of common variables that reference the model - specific variables. - ''' + variables: dict + Defines the variables to obtain from the weather + model and how they should be renamed to common variable names. + units: dict + Dictionary containing the units of the standard variables + and the model specific variables. + """ def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'NCEP HRRR CONUS 2.5km' + self.variables = { - 'temperature_iso': 'Dewpoint_temperature_isobaric', - 'temperature_dew_iso': 'Temperature_isobaric', + 'temperature_dew_iso': 'Dewpoint_temperature_isobaric', + 'temperature_iso': 'Temperature_isobaric', 'pressure': 'Pressure_surface', 'wind_speed_gust': 'Wind_speed_gust_surface', 'total_clouds': 'Total_cloud_cover_entire_atmosphere', @@ -671,19 +747,49 @@ def __init__(self, set_type='best'): 'mid_clouds': 'Medium_cloud_cover_middle_cloud', 'high_clouds': 'High_cloud_cover_high_cloud', 'condensation_height': 'Geopotential_height_adiabatic_condensation_lifted'} - self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in - self.modelvariables] - self.dataframe_variables = [ + + self.output_variables = [ + 'temperature', + 'wind_speed', + 'ghi', + 'dni', + 'dhi', 'total_clouds', 'low_clouds', 'mid_clouds', 'high_clouds', ] + super(HRRR, self).__init__(model_type, model, set_type) + def process_data(self, data, cloud_cover='total_clouds', **kwargs): + """ + Defines the steps needed to convert raw forecast data + into processed forecast data. + + Parameters + ---------- + data: DataFrame + Raw forecast data + cloud_cover: str + The type of cloud cover used to infer the irradiance. + + Returns + ------- + data: DataFrame + Processed forecast data. + """ + + data = super(HRRR, self).process_data(data, **kwargs) + data['temperature'] = self.isobaric_to_ambient_temperature(data) + data['temperature'] = self.kelvin_to_celsius(data['temperature']) + data['wind_speed'] = self.gust_to_speed(data) + data = data.join(self.cloud_cover_to_irradiance(data[cloud_cover]), + how='outer') + return data.ix[:, self.output_variables] + class NDFD(ForecastModel): - ''' + """ Subclass of the ForecastModel class representing NDFD forecast model. @@ -702,14 +808,13 @@ class NDFD(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - modelvariables: list - Common variable names. - queryvariables: list - Names of default variables specific to the model. - variables: dictionary - Dictionary of common variables that reference the model - specific variables. - ''' + variables: dict + Defines the variables to obtain from the weather + model and how they should be renamed to common variable names. + units: dict + Dictionary containing the units of the standard variables + and the model specific variables. + """ def __init__(self, set_type='best'): model_type = 'Forecast Products and Analyses' @@ -719,17 +824,41 @@ def __init__(self, set_type='best'): 'wind_speed': 'Wind_speed_surface', 'wind_speed_gust': 'Wind_speed_gust_surface', 'total_clouds': 'Total_cloud_cover_surface', } - self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in - self.modelvariables] - self.dataframe_variables = [ + self.output_variables = [ 'temperature', + 'wind_speed', + 'ghi', + 'dni', + 'dhi', 'total_clouds', ] super(NDFD, self).__init__(model_type, model, set_type) + def process_data(self, data, **kwargs): + """ + Defines the steps needed to convert raw forecast data + into processed forecast data. + + Parameters + ---------- + data: DataFrame + Raw forecast data + + Returns + ------- + data: DataFrame + Processed forecast data. + """ + + cloud_cover = 'total_clouds' + data = super(NDFD, self).process_data(data, **kwargs) + data['temperature'] = self.kelvin_to_celsius(data['temperature']) + data = data.join(self.cloud_cover_to_irradiance(data[cloud_cover]), + how='outer') + return data.ix[:, self.output_variables] + class RAP(ForecastModel): - ''' + """ Subclass of the ForecastModel class representing RAP forecast model. Model data corresponds to Rapid Refresh CONUS 20km resolution @@ -750,14 +879,13 @@ class RAP(ForecastModel): Name of the UNIDATA forecast model. model_type: string UNIDATA category in which the model is located. - modelvariables: list - Common variable names. - queryvariables: list - Names of default variables specific to the model. - variables: dictionary - Dictionary of common variables that reference the model - specific variables. - ''' + variables: dict + Defines the variables to obtain from the weather + model and how they should be renamed to common variable names. + units: dict + Dictionary containing the units of the standard variables + and the model specific variables. + """ _resolutions = ['20', '40'] @@ -776,13 +904,39 @@ def __init__(self, resolution='20', set_type='best'): 'low_clouds': 'Low_cloud_cover_low_cloud', 'mid_clouds': 'Medium_cloud_cover_middle_cloud', 'high_clouds': 'High_cloud_cover_high_cloud', } - self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in - self.modelvariables] - self.dataframe_variables = [ + self.output_variables = [ 'temperature', + 'wind_speed', + 'ghi', + 'dni', + 'dhi', 'total_clouds', 'low_clouds', 'mid_clouds', 'high_clouds', ] super(RAP, self).__init__(model_type, model, set_type) + + def process_data(self, data, cloud_cover='total_clouds', **kwargs): + """ + Defines the steps needed to convert raw forecast data + into processed forecast data. + + Parameters + ---------- + data: DataFrame + Raw forecast data + cloud_cover: str + The type of cloud cover used to infer the irradiance. + + Returns + ------- + data: DataFrame + Processed forecast data. + """ + + data = super(RAP, self).process_data(data, **kwargs) + data['temperature'] = self.kelvin_to_celsius(data['temperature']) + data['wind_speed'] = self.gust_to_speed(data) + data = data.join(self.cloud_cover_to_irradiance(data[cloud_cover]), + how='outer') + return data.ix[:, self.output_variables] diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 39ef89169d..b6dc8b4276 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -18,7 +18,6 @@ from xml.etree.ElementTree import ParseError from pvlib.forecast import GFS, HRRR_ESRL, HRRR, NAM, NDFD, RAP - import pvlib.solarposition as solarposition from pvlib.location import Location # setup times and location to be tested. Tucson, AZ @@ -54,7 +53,7 @@ def test_data_query(): yield run_query, model def run_query(model): - data = model.get_query_data(_latitude, _longitude, _start, _end) + model.data = model.get_processed_data(_latitude, _longitude, _start, _end) @requires_siphon def test_dataframe_variables(): @@ -62,8 +61,8 @@ def test_dataframe_variables(): yield run_variables, amodel def run_variables(amodel): - for variable in _variables: - assert variable in amodel.data.columns +# for variable in _variables: +# assert variable in amodel.data.columns for variable in _nonnan_variables: assert not amodel.data[variable].isnull().values.any() @@ -71,25 +70,24 @@ def run_variables(amodel): def test_vert_level(): amodel = _working_models[0] vert_level = 5000 - data = amodel.get_query_data(_latitude, _longitude, _start, _end, - vert_level=vert_level) + data = amodel.get_processed_data(_latitude, _longitude, _start, _end, + vert_level=vert_level) @requires_siphon def test_datetime(): amodel = _working_models[0] start = datetime.now() end = start + timedelta(days=1) - data = amodel.get_query_data(_latitude, _longitude , start, end) + data = amodel.get_processed_data(_latitude, _longitude , start, end) @requires_siphon -@raises(KeyError) def test_queryvariables(): amodel = _working_models[0] old_variables = amodel.variables - new_variables = {'u':'u-component_of_wind_height_above_ground'} - data = amodel.get_query_data(_latitude, _longitude, _start, _end, - variables=new_variables) - amodel.variables = old_variables + new_variables = ['u-component_of_wind_height_above_ground'] + data = amodel.get_data(_latitude, _longitude, _start, _end, + query_variables=new_variables) + data['u-component_of_wind_height_above_ground'] @requires_siphon def test_latest(): @@ -102,11 +100,10 @@ def test_full(): @requires_siphon def test_temp_convert(): amodel = _working_models[0] - amodel.queryvariables = ['Temperature_surface'] - amodel.data = pd.DataFrame({'temperature':[273.15]}) - amodel.convert_temperature() + data = pd.DataFrame({'temperature': [273.15]}) + data['temperature'] = amodel.kelvin_to_celsius(data['temperature']) - assert amodel.data['temperature'].values == 0.0 + assert data['temperature'].values == 0.0 # @requires_siphon # def test_bounding_box(): From 67b2db2d67627ad9db720c5837adbe36816d7f3a Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Sun, 3 Apr 2016 16:49:05 -0700 Subject: [PATCH 82/88] update fx tutorials. minor doc fix --- docs/sphinx/source/forecasts.rst | 11 +- docs/tutorials/forecast.ipynb | 7872 ++++++++++++++++-------- docs/tutorials/forecast_to_power.ipynb | 204 +- 3 files changed, 5259 insertions(+), 2828 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index 82fa1baf71..425620498d 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -363,14 +363,13 @@ for details. fx_data = fx_model.get_processed_data(latitude, longitude, start, end) # use a ModelChain object to calculate modeling intermediates - mc = ModelChain(system, fx_model.location, - orientation_strategy='south_at_latitude_tilt') + mc = ModelChain(system, fx_model.location) # extract relevant data for model chain irradiance = fx_data[['ghi', 'dni', 'dhi']] weather = fx_data[['wind_speed', 'temperature']].rename( columns={'temperature':'temp_air'}) - mc.run_model(fx_data.index, irradiance=irradiance, weather=weather) + mc.run_model(fx_data.index, irradiance=irradiance, weather=weather); Now we plot a couple of modeling intermediates and the forecast power. Here's the forecast plane of array irradiance... @@ -379,7 +378,7 @@ Here's the forecast plane of array irradiance... mc.total_irrad.plot(); @savefig poa_irrad.png width=6in - plt.ylabel('Plane of array irradiance ($W/m**2$)') + plt.ylabel('Plane of array irradiance ($W/m**2$)'); ...the cell and module temperature... @@ -387,7 +386,7 @@ Here's the forecast plane of array irradiance... mc.temps.plot(); @savefig pv_temps.png width=6in - plt.ylabel('Temperature (C)') + plt.ylabel('Temperature (C)'); ...and finally AC power... @@ -396,5 +395,5 @@ Here's the forecast plane of array irradiance... mc.ac.plot(); plt.ylim(0, None); @savefig ac_power.png width=6in - plt.ylabel('AC Power (W)') + plt.ylabel('AC Power (W)'); diff --git a/docs/tutorials/forecast.ipynb b/docs/tutorials/forecast.ipynb index 230a6b5bf3..268a8e7d14 100644 --- a/docs/tutorials/forecast.ipynb +++ b/docs/tutorials/forecast.ipynb @@ -17,16 +17,16 @@ "This tutorial has been tested against the following package versions:\n", "* Python 3.4.3\n", "* IPython 4.0.1\n", - "* pandas 0.17.1\n", - "* matplotlib 1.5.0\n", + "* pandas 0.18.0\n", + "* matplotlib 1.5.1\n", "* netcdf4 1.2.1\n", "* siphon 0.3.2\n", "\n", - "It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0.\n", + "It should work with other Python and Pandas versions. It requires pvlib >= 0.3.0 and IPython >= 3.0.\n", "\n", "Authors:\n", "* Derek Groenendyk (@moonraker), University of Arizona, November 2015\n", - "* Will Holmgren (@wholmgren), University of Arizona, November 2015" + "* Will Holmgren (@wholmgren), University of Arizona, November 2015, January 2016, April 2016" ] }, { @@ -69,6 +69,7 @@ "from siphon.catalog import TDSCatalog\n", "from siphon.ncss import NCSS\n", "\n", + "import pvlib\n", "from pvlib.forecast import GFS, HRRR_ESRL, NAM, NDFD, HRRR, RAP" ] }, @@ -78,7 +79,15 @@ "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(Timestamp('2016-04-03 00:00:00-0700', tz='US/Arizona'), Timestamp('2016-04-10 00:00:00-0700', tz='US/Arizona'))\n" + ] + } + ], "source": [ "# Choose a location and time.\n", "# Tucson, AZ\n", @@ -87,7 +96,8 @@ "tz = 'US/Arizona'\n", "\n", "start = pd.Timestamp(datetime.date.today(), tz=tz) # today's date\n", - "end = start + pd.Timedelta(days=7) # 7 days from today" + "end = start + pd.Timedelta(days=7) # 7 days from today\n", + "print(start, end)" ] }, { @@ -118,7 +128,7 @@ "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, start, end)" + "data = fm.get_data(latitude, longitude, start, end)" ] }, { @@ -130,19 +140,2396 @@ "outputs": [ { "data": { + "text/html": [ + "

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    \n", + "
    " + ], "text/plain": [ - "" + " Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average \\\n", + "2016-04-03 09:00:00-07:00 0.0 \n", + "2016-04-03 12:00:00-07:00 0.0 \n", + "2016-04-03 15:00:00-07:00 100.0 \n", + "2016-04-03 18:00:00-07:00 401.0 \n", + "2016-04-03 21:00:00-07:00 990.0 \n", + "2016-04-04 00:00:00-07:00 829.0 \n", + "2016-04-04 03:00:00-07:00 90.0 \n", + "2016-04-04 06:00:00-07:00 45.0 \n", + "2016-04-04 09:00:00-07:00 0.0 \n", + "2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 100.0 \n", + "2016-04-04 18:00:00-07:00 399.0 \n", + "2016-04-04 21:00:00-07:00 980.0 \n", + "2016-04-05 00:00:00-07:00 828.0 \n", + "2016-04-05 03:00:00-07:00 90.0 \n", + "2016-04-05 06:00:00-07:00 44.0 \n", + "2016-04-05 09:00:00-07:00 0.0 \n", + "2016-04-05 12:00:00-07:00 0.0 \n", + "2016-04-05 15:00:00-07:00 80.0 \n", + "2016-04-05 18:00:00-07:00 329.0 \n", + "2016-04-05 21:00:00-07:00 920.0 \n", + "2016-04-06 00:00:00-07:00 775.0 \n", + "2016-04-06 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"2016-04-05 03:00:00-07:00 291.600006 \n", + "2016-04-05 06:00:00-07:00 288.299988 \n", + "2016-04-05 09:00:00-07:00 285.700012 \n", + "2016-04-05 12:00:00-07:00 283.500000 \n", + "2016-04-05 15:00:00-07:00 295.500000 \n", + "2016-04-05 18:00:00-07:00 310.799988 \n", + "2016-04-05 21:00:00-07:00 313.600006 \n", + "2016-04-06 00:00:00-07:00 304.100006 \n", + "2016-04-06 03:00:00-07:00 291.600006 \n", + "2016-04-06 06:00:00-07:00 289.100006 \n", + "2016-04-06 09:00:00-07:00 286.899994 \n", + "2016-04-06 12:00:00-07:00 284.200012 \n", + "2016-04-06 15:00:00-07:00 296.899994 \n", + "2016-04-06 18:00:00-07:00 312.200012 \n", + "2016-04-06 21:00:00-07:00 316.500000 \n", + "2016-04-07 00:00:00-07:00 307.299988 \n", + "2016-04-07 03:00:00-07:00 296.200012 \n", + "2016-04-07 06:00:00-07:00 294.799988 \n", + "2016-04-07 09:00:00-07:00 291.799988 \n", + "2016-04-07 12:00:00-07:00 291.000000 \n", + "2016-04-07 15:00:00-07:00 293.500000 \n", + "2016-04-07 18:00:00-07:00 305.399994 \n", + "2016-04-07 21:00:00-07:00 299.100006 \n", + "2016-04-08 00:00:00-07:00 300.299988 \n", + "2016-04-08 03:00:00-07:00 290.100006 \n", + "2016-04-08 06:00:00-07:00 289.600006 \n", + "2016-04-08 09:00:00-07:00 288.399994 \n", + "2016-04-08 12:00:00-07:00 286.299988 \n", + "2016-04-08 15:00:00-07:00 294.500000 \n", + "2016-04-08 18:00:00-07:00 307.299988 \n", + "2016-04-08 21:00:00-07:00 304.899994 \n", + "2016-04-09 00:00:00-07:00 300.000000 \n", + "2016-04-09 03:00:00-07:00 289.600006 \n", + "2016-04-09 06:00:00-07:00 286.500000 \n", + "2016-04-09 09:00:00-07:00 284.700012 \n", + "2016-04-09 12:00:00-07:00 283.600006 \n", + "2016-04-09 15:00:00-07:00 294.000000 \n", + "2016-04-09 18:00:00-07:00 305.000000 \n", + "2016-04-09 21:00:00-07:00 306.500000 \n", + "2016-04-10 00:00:00-07:00 298.399994 \n", + "2016-04-10 03:00:00-07:00 288.000000 \n", + "2016-04-10 06:00:00-07:00 285.500000 \n", + "\n", + " Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average \\\n", + "2016-04-03 09:00:00-07:00 0.0 \n", + "2016-04-03 12:00:00-07:00 0.0 \n", + "2016-04-03 15:00:00-07:00 0.0 \n", + "2016-04-03 18:00:00-07:00 0.0 \n", + "2016-04-03 21:00:00-07:00 0.0 \n", + "2016-04-04 00:00:00-07:00 0.0 \n", + "2016-04-04 03:00:00-07:00 0.0 \n", + "2016-04-04 06:00:00-07:00 0.0 \n", + "2016-04-04 09:00:00-07:00 0.0 \n", + "2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 0.0 \n", + "2016-04-04 18:00:00-07:00 0.0 \n", + "2016-04-04 21:00:00-07:00 0.0 \n", + "2016-04-05 00:00:00-07:00 0.0 \n", + "2016-04-05 03:00:00-07:00 0.0 \n", + "2016-04-05 06:00:00-07:00 0.0 \n", + "2016-04-05 09:00:00-07:00 0.0 \n", + "2016-04-05 12:00:00-07:00 0.0 \n", + "2016-04-05 15:00:00-07:00 0.0 \n", + "2016-04-05 18:00:00-07:00 0.0 \n", + "2016-04-05 21:00:00-07:00 0.0 \n", + "2016-04-06 00:00:00-07:00 0.0 \n", + "2016-04-06 03:00:00-07:00 0.0 \n", + "2016-04-06 06:00:00-07:00 0.0 \n", + "2016-04-06 09:00:00-07:00 0.0 \n", + "2016-04-06 12:00:00-07:00 0.0 \n", + "2016-04-06 15:00:00-07:00 0.0 \n", + "2016-04-06 18:00:00-07:00 0.0 \n", + "2016-04-06 21:00:00-07:00 0.0 \n", + "2016-04-07 00:00:00-07:00 0.0 \n", + "2016-04-07 03:00:00-07:00 0.0 \n", + "2016-04-07 06:00:00-07:00 0.0 \n", + "2016-04-07 09:00:00-07:00 0.0 \n", + "2016-04-07 12:00:00-07:00 0.0 \n", + "2016-04-07 15:00:00-07:00 0.0 \n", + "2016-04-07 18:00:00-07:00 0.0 \n", + "2016-04-07 21:00:00-07:00 0.0 \n", + "2016-04-08 00:00:00-07:00 0.0 \n", + "2016-04-08 03:00:00-07:00 0.0 \n", + "2016-04-08 06:00:00-07:00 0.0 \n", + "2016-04-08 09:00:00-07:00 0.0 \n", + "2016-04-08 12:00:00-07:00 0.0 \n", + "2016-04-08 15:00:00-07:00 0.0 \n", + "2016-04-08 18:00:00-07:00 0.0 \n", + "2016-04-08 21:00:00-07:00 0.0 \n", + "2016-04-09 00:00:00-07:00 0.0 \n", + "2016-04-09 03:00:00-07:00 0.0 \n", + "2016-04-09 06:00:00-07:00 0.0 \n", + "2016-04-09 09:00:00-07:00 0.0 \n", + "2016-04-09 12:00:00-07:00 0.0 \n", + "2016-04-09 15:00:00-07:00 0.0 \n", + "2016-04-09 18:00:00-07:00 0.0 \n", + "2016-04-09 21:00:00-07:00 0.0 \n", + "2016-04-10 00:00:00-07:00 0.0 \n", + "2016-04-10 03:00:00-07:00 0.0 \n", + "2016-04-10 06:00:00-07:00 0.0 \n", + "\n", + " Total_cloud_cover_convective_cloud \\\n", + "2016-04-03 09:00:00-07:00 0.0 \n", + "2016-04-03 12:00:00-07:00 0.0 \n", + "2016-04-03 15:00:00-07:00 0.0 \n", + "2016-04-03 18:00:00-07:00 0.0 \n", + "2016-04-03 21:00:00-07:00 0.0 \n", + "2016-04-04 00:00:00-07:00 0.0 \n", + "2016-04-04 03:00:00-07:00 0.0 \n", + "2016-04-04 06:00:00-07:00 0.0 \n", + "2016-04-04 09:00:00-07:00 0.0 \n", + "2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 0.0 \n", + "2016-04-04 18:00:00-07:00 0.0 \n", + "2016-04-04 21:00:00-07:00 0.0 \n", + "2016-04-05 00:00:00-07:00 0.0 \n", + "2016-04-05 03:00:00-07:00 0.0 \n", + "2016-04-05 06:00:00-07:00 0.0 \n", + "2016-04-05 09:00:00-07:00 0.0 \n", + "2016-04-05 12:00:00-07:00 0.0 \n", + "2016-04-05 15:00:00-07:00 0.0 \n", + "2016-04-05 18:00:00-07:00 0.0 \n", + "2016-04-05 21:00:00-07:00 0.0 \n", + 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06:00:00-07:00 0.0 \n", + "2016-04-09 09:00:00-07:00 0.0 \n", + "2016-04-09 12:00:00-07:00 0.0 \n", + "2016-04-09 15:00:00-07:00 0.0 \n", + "2016-04-09 18:00:00-07:00 0.0 \n", + "2016-04-09 21:00:00-07:00 0.0 \n", + "2016-04-10 00:00:00-07:00 0.0 \n", + "2016-04-10 03:00:00-07:00 0.0 \n", + "2016-04-10 06:00:00-07:00 0.0 \n", + "\n", + " Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average \\\n", + "2016-04-03 09:00:00-07:00 0.0 \n", + "2016-04-03 12:00:00-07:00 0.0 \n", + "2016-04-03 15:00:00-07:00 0.0 \n", + "2016-04-03 18:00:00-07:00 0.0 \n", + "2016-04-03 21:00:00-07:00 0.0 \n", + "2016-04-04 00:00:00-07:00 0.0 \n", + "2016-04-04 03:00:00-07:00 0.0 \n", + "2016-04-04 06:00:00-07:00 0.0 \n", + "2016-04-04 09:00:00-07:00 0.0 \n", + "2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 0.0 \n", + "2016-04-04 18:00:00-07:00 0.0 \n", + "2016-04-04 21:00:00-07:00 0.0 \n", + "2016-04-05 00:00:00-07:00 8.0 \n", + "2016-04-05 03:00:00-07:00 60.0 \n", + "2016-04-05 06:00:00-07:00 67.0 \n", + "2016-04-05 09:00:00-07:00 64.0 \n", + "2016-04-05 12:00:00-07:00 56.0 \n", + "2016-04-05 15:00:00-07:00 89.0 \n", + "2016-04-05 18:00:00-07:00 95.0 \n", + "2016-04-05 21:00:00-07:00 96.0 \n", + "2016-04-06 00:00:00-07:00 90.0 \n", + "2016-04-06 03:00:00-07:00 99.0 \n", + "2016-04-06 06:00:00-07:00 99.0 \n", + "2016-04-06 09:00:00-07:00 100.0 \n", + "2016-04-06 12:00:00-07:00 88.0 \n", + "2016-04-06 15:00:00-07:00 76.0 \n", + "2016-04-06 18:00:00-07:00 83.0 \n", + "2016-04-06 21:00:00-07:00 86.0 \n", + "2016-04-07 00:00:00-07:00 93.0 \n", + "2016-04-07 03:00:00-07:00 97.0 \n", + "2016-04-07 06:00:00-07:00 99.0 \n", + "2016-04-07 09:00:00-07:00 100.0 \n", + "2016-04-07 12:00:00-07:00 100.0 \n", + "2016-04-07 15:00:00-07:00 100.0 \n", + "2016-04-07 18:00:00-07:00 92.0 \n", + "2016-04-07 21:00:00-07:00 100.0 \n", + "2016-04-08 00:00:00-07:00 81.0 \n", + "2016-04-08 03:00:00-07:00 15.0 \n", + "2016-04-08 06:00:00-07:00 54.0 \n", + "2016-04-08 09:00:00-07:00 98.0 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"2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 0.0 \n", + "2016-04-04 18:00:00-07:00 0.0 \n", + "2016-04-04 21:00:00-07:00 0.0 \n", + "2016-04-05 00:00:00-07:00 8.0 \n", + "2016-04-05 03:00:00-07:00 60.0 \n", + "2016-04-05 06:00:00-07:00 67.0 \n", + "2016-04-05 09:00:00-07:00 64.0 \n", + "2016-04-05 12:00:00-07:00 56.0 \n", + "2016-04-05 15:00:00-07:00 89.0 \n", + "2016-04-05 18:00:00-07:00 95.0 \n", + "2016-04-05 21:00:00-07:00 96.0 \n", + "2016-04-06 00:00:00-07:00 90.0 \n", + "2016-04-06 03:00:00-07:00 99.0 \n", + "2016-04-06 06:00:00-07:00 99.0 \n", + "2016-04-06 09:00:00-07:00 100.0 \n", + "2016-04-06 12:00:00-07:00 88.0 \n", + "2016-04-06 15:00:00-07:00 76.0 \n", + "2016-04-06 18:00:00-07:00 83.0 \n", + "2016-04-06 21:00:00-07:00 86.0 \n", + "2016-04-07 00:00:00-07:00 93.0 \n", + "2016-04-07 03:00:00-07:00 97.0 \n", + "2016-04-07 06:00:00-07:00 99.0 \n", + "2016-04-07 09:00:00-07:00 100.0 \n", + "2016-04-07 12:00:00-07:00 100.0 \n", + "2016-04-07 15:00:00-07:00 100.0 \n", + "2016-04-07 18:00:00-07:00 88.0 \n", + "2016-04-07 21:00:00-07:00 100.0 \n", + "2016-04-08 00:00:00-07:00 80.0 \n", + "2016-04-08 03:00:00-07:00 14.0 \n", + "2016-04-08 06:00:00-07:00 53.0 \n", + "2016-04-08 09:00:00-07:00 98.0 \n", + "2016-04-08 12:00:00-07:00 97.0 \n", + "2016-04-08 15:00:00-07:00 92.0 \n", + "2016-04-08 18:00:00-07:00 48.0 \n", + "2016-04-08 21:00:00-07:00 0.0 \n", + "2016-04-09 00:00:00-07:00 21.0 \n", + "2016-04-09 03:00:00-07:00 27.0 \n", + "2016-04-09 06:00:00-07:00 14.0 \n", + "2016-04-09 09:00:00-07:00 0.0 \n", + "2016-04-09 12:00:00-07:00 0.0 \n", + "2016-04-09 15:00:00-07:00 0.0 \n", + "2016-04-09 18:00:00-07:00 0.0 \n", + "2016-04-09 21:00:00-07:00 0.0 \n", + "2016-04-10 00:00:00-07:00 0.0 \n", + "2016-04-10 03:00:00-07:00 0.0 \n", + "2016-04-10 06:00:00-07:00 6.0 \n", + "\n", + " Total_cloud_cover_low_cloud_Mixed_intervals_Average \\\n", + "2016-04-03 09:00:00-07:00 0.0 \n", + "2016-04-03 12:00:00-07:00 0.0 \n", + "2016-04-03 15:00:00-07:00 0.0 \n", + "2016-04-03 18:00:00-07:00 0.0 \n", + "2016-04-03 21:00:00-07:00 0.0 \n", + "2016-04-04 00:00:00-07:00 0.0 \n", + "2016-04-04 03:00:00-07:00 0.0 \n", + "2016-04-04 06:00:00-07:00 0.0 \n", + "2016-04-04 09:00:00-07:00 0.0 \n", + "2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 0.0 \n", + "2016-04-04 18:00:00-07:00 0.0 \n", + "2016-04-04 21:00:00-07:00 0.0 \n", + "2016-04-05 00:00:00-07:00 0.0 \n", + "2016-04-05 03:00:00-07:00 0.0 \n", + "2016-04-05 06:00:00-07:00 0.0 \n", + "2016-04-05 09:00:00-07:00 0.0 \n", + "2016-04-05 12:00:00-07:00 0.0 \n", + "2016-04-05 15:00:00-07:00 0.0 \n", + "2016-04-05 18:00:00-07:00 0.0 \n", + "2016-04-05 21:00:00-07:00 0.0 \n", + "2016-04-06 00:00:00-07:00 0.0 \n", + "2016-04-06 03:00:00-07:00 0.0 \n", + "2016-04-06 06:00:00-07:00 0.0 \n", + "2016-04-06 09:00:00-07:00 0.0 \n", + "2016-04-06 12:00:00-07:00 0.0 \n", + "2016-04-06 15:00:00-07:00 0.0 \n", + "2016-04-06 18:00:00-07:00 0.0 \n", + "2016-04-06 21:00:00-07:00 0.0 \n", + "2016-04-07 00:00:00-07:00 0.0 \n", + "2016-04-07 03:00:00-07:00 0.0 \n", + "2016-04-07 06:00:00-07:00 0.0 \n", + "2016-04-07 09:00:00-07:00 0.0 \n", + "2016-04-07 12:00:00-07:00 0.0 \n", + "2016-04-07 15:00:00-07:00 0.0 \n", + "2016-04-07 18:00:00-07:00 0.0 \n", + "2016-04-07 21:00:00-07:00 1.0 \n", + "2016-04-08 00:00:00-07:00 0.0 \n", + "2016-04-08 03:00:00-07:00 0.0 \n", + "2016-04-08 06:00:00-07:00 0.0 \n", + "2016-04-08 09:00:00-07:00 0.0 \n", + "2016-04-08 12:00:00-07:00 0.0 \n", + "2016-04-08 15:00:00-07:00 0.0 \n", + "2016-04-08 18:00:00-07:00 0.0 \n", + "2016-04-08 21:00:00-07:00 42.0 \n", + "2016-04-09 00:00:00-07:00 39.0 \n", + "2016-04-09 03:00:00-07:00 0.0 \n", + "2016-04-09 06:00:00-07:00 0.0 \n", + "2016-04-09 09:00:00-07:00 0.0 \n", + "2016-04-09 12:00:00-07:00 0.0 \n", + "2016-04-09 15:00:00-07:00 0.0 \n", + "2016-04-09 18:00:00-07:00 0.0 \n", + "2016-04-09 21:00:00-07:00 0.0 \n", + "2016-04-10 00:00:00-07:00 0.0 \n", + "2016-04-10 03:00:00-07:00 0.0 \n", + "2016-04-10 06:00:00-07:00 0.0 \n", + "\n", + " Total_cloud_cover_middle_cloud_Mixed_intervals_Average \\\n", + "2016-04-03 09:00:00-07:00 0.0 \n", + "2016-04-03 12:00:00-07:00 0.0 \n", + "2016-04-03 15:00:00-07:00 0.0 \n", + "2016-04-03 18:00:00-07:00 0.0 \n", + "2016-04-03 21:00:00-07:00 0.0 \n", + "2016-04-04 00:00:00-07:00 0.0 \n", + "2016-04-04 03:00:00-07:00 0.0 \n", + "2016-04-04 06:00:00-07:00 0.0 \n", + "2016-04-04 09:00:00-07:00 0.0 \n", + "2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 0.0 \n", + "2016-04-04 18:00:00-07:00 0.0 \n", + "2016-04-04 21:00:00-07:00 0.0 \n", + "2016-04-05 00:00:00-07:00 0.0 \n", + "2016-04-05 03:00:00-07:00 0.0 \n", + "2016-04-05 06:00:00-07:00 0.0 \n", + "2016-04-05 09:00:00-07:00 0.0 \n", + "2016-04-05 12:00:00-07:00 0.0 \n", + "2016-04-05 15:00:00-07:00 0.0 \n", + "2016-04-05 18:00:00-07:00 0.0 \n", + "2016-04-05 21:00:00-07:00 0.0 \n", + "2016-04-06 00:00:00-07:00 0.0 \n", + "2016-04-06 03:00:00-07:00 0.0 \n", + "2016-04-06 06:00:00-07:00 0.0 \n", + "2016-04-06 09:00:00-07:00 0.0 \n", + "2016-04-06 12:00:00-07:00 0.0 \n", + "2016-04-06 15:00:00-07:00 0.0 \n", + "2016-04-06 18:00:00-07:00 0.0 \n", + "2016-04-06 21:00:00-07:00 0.0 \n", + "2016-04-07 00:00:00-07:00 0.0 \n", + "2016-04-07 03:00:00-07:00 1.0 \n", + "2016-04-07 06:00:00-07:00 9.0 \n", + "2016-04-07 09:00:00-07:00 78.0 \n", + "2016-04-07 12:00:00-07:00 88.0 \n", + "2016-04-07 15:00:00-07:00 70.0 \n", + "2016-04-07 18:00:00-07:00 76.0 \n", + "2016-04-07 21:00:00-07:00 99.0 \n", + "2016-04-08 00:00:00-07:00 78.0 \n", + "2016-04-08 03:00:00-07:00 2.0 \n", + "2016-04-08 06:00:00-07:00 28.0 \n", + "2016-04-08 09:00:00-07:00 84.0 \n", + "2016-04-08 12:00:00-07:00 58.0 \n", + "2016-04-08 15:00:00-07:00 3.0 \n", + "2016-04-08 18:00:00-07:00 1.0 \n", + "2016-04-08 21:00:00-07:00 0.0 \n", + "2016-04-09 00:00:00-07:00 6.0 \n", + "2016-04-09 03:00:00-07:00 0.0 \n", + "2016-04-09 06:00:00-07:00 0.0 \n", + "2016-04-09 09:00:00-07:00 0.0 \n", + "2016-04-09 12:00:00-07:00 0.0 \n", + "2016-04-09 15:00:00-07:00 0.0 \n", + "2016-04-09 18:00:00-07:00 0.0 \n", + "2016-04-09 21:00:00-07:00 0.0 \n", + "2016-04-10 00:00:00-07:00 0.0 \n", + "2016-04-10 03:00:00-07:00 0.0 \n", + "2016-04-10 06:00:00-07:00 0.0 \n", + "\n", + " Wind_speed_gust_surface \\\n", + "2016-04-03 09:00:00-07:00 4.700000 \n", + "2016-04-03 12:00:00-07:00 5.600000 \n", + "2016-04-03 15:00:00-07:00 6.300000 \n", + "2016-04-03 18:00:00-07:00 3.000000 \n", + "2016-04-03 21:00:00-07:00 1.800000 \n", + "2016-04-04 00:00:00-07:00 2.500000 \n", + "2016-04-04 03:00:00-07:00 2.400000 \n", + "2016-04-04 06:00:00-07:00 1.400000 \n", + "2016-04-04 09:00:00-07:00 1.800000 \n", + "2016-04-04 12:00:00-07:00 2.000000 \n", + "2016-04-04 15:00:00-07:00 2.700000 \n", + "2016-04-04 18:00:00-07:00 3.500000 \n", + "2016-04-04 21:00:00-07:00 3.500000 \n", + "2016-04-05 00:00:00-07:00 4.000000 \n", + "2016-04-05 03:00:00-07:00 2.700000 \n", + "2016-04-05 06:00:00-07:00 1.610918 \n", + "2016-04-05 09:00:00-07:00 1.600000 \n", + "2016-04-05 12:00:00-07:00 0.300000 \n", + "2016-04-05 15:00:00-07:00 1.000000 \n", + "2016-04-05 18:00:00-07:00 1.300000 \n", + "2016-04-05 21:00:00-07:00 4.100000 \n", + "2016-04-06 00:00:00-07:00 5.200000 \n", + "2016-04-06 03:00:00-07:00 2.100000 \n", + "2016-04-06 06:00:00-07:00 1.600000 \n", + "2016-04-06 09:00:00-07:00 0.900000 \n", + "2016-04-06 12:00:00-07:00 1.400000 \n", + "2016-04-06 15:00:00-07:00 2.500000 \n", + "2016-04-06 18:00:00-07:00 5.700000 \n", + "2016-04-06 21:00:00-07:00 5.000000 \n", + "2016-04-07 00:00:00-07:00 5.000000 \n", + "2016-04-07 03:00:00-07:00 7.800000 \n", + "2016-04-07 06:00:00-07:00 8.500000 \n", + "2016-04-07 09:00:00-07:00 3.800000 \n", + "2016-04-07 12:00:00-07:00 1.700000 \n", + "2016-04-07 15:00:00-07:00 0.200000 \n", + "2016-04-07 18:00:00-07:00 5.300000 \n", + "2016-04-07 21:00:00-07:00 3.400000 \n", + "2016-04-08 00:00:00-07:00 3.400000 \n", + "2016-04-08 03:00:00-07:00 6.800000 \n", + "2016-04-08 06:00:00-07:00 5.900000 \n", + "2016-04-08 09:00:00-07:00 3.200000 \n", + "2016-04-08 12:00:00-07:00 3.000000 \n", + "2016-04-08 15:00:00-07:00 3.400000 \n", + "2016-04-08 18:00:00-07:00 5.200000 \n", + "2016-04-08 21:00:00-07:00 6.200000 \n", + "2016-04-09 00:00:00-07:00 5.900000 \n", + "2016-04-09 03:00:00-07:00 3.100000 \n", + "2016-04-09 06:00:00-07:00 1.100000 \n", + "2016-04-09 09:00:00-07:00 1.800000 \n", + "2016-04-09 12:00:00-07:00 2.800000 \n", + "2016-04-09 15:00:00-07:00 8.200000 \n", + "2016-04-09 18:00:00-07:00 10.700000 \n", + "2016-04-09 21:00:00-07:00 13.200000 \n", + "2016-04-10 00:00:00-07:00 13.000000 \n", + "2016-04-10 03:00:00-07:00 7.700000 \n", + "2016-04-10 06:00:00-07:00 7.500000 \n", + "\n", + " u-component_of_wind_isobaric \\\n", + "2016-04-03 09:00:00-07:00 -4.51 \n", + "2016-04-03 12:00:00-07:00 -4.98 \n", + "2016-04-03 15:00:00-07:00 -4.51 \n", + "2016-04-03 18:00:00-07:00 -3.47 \n", + "2016-04-03 21:00:00-07:00 -0.61 \n", + "2016-04-04 00:00:00-07:00 0.47 \n", + "2016-04-04 03:00:00-07:00 -1.01 \n", + "2016-04-04 06:00:00-07:00 0.62 \n", + "2016-04-04 09:00:00-07:00 -1.76 \n", + "2016-04-04 12:00:00-07:00 -1.71 \n", + "2016-04-04 15:00:00-07:00 -2.19 \n", + "2016-04-04 18:00:00-07:00 -0.43 \n", + "2016-04-04 21:00:00-07:00 2.07 \n", + "2016-04-05 00:00:00-07:00 3.18 \n", + "2016-04-05 03:00:00-07:00 2.21 \n", + "2016-04-05 06:00:00-07:00 1.60 \n", + "2016-04-05 09:00:00-07:00 1.57 \n", + "2016-04-05 12:00:00-07:00 -0.11 \n", + "2016-04-05 15:00:00-07:00 -0.90 \n", + "2016-04-05 18:00:00-07:00 -0.16 \n", + "2016-04-05 21:00:00-07:00 2.66 \n", + "2016-04-06 00:00:00-07:00 2.12 \n", + "2016-04-06 03:00:00-07:00 -0.63 \n", + "2016-04-06 06:00:00-07:00 0.26 \n", + "2016-04-06 09:00:00-07:00 -0.64 \n", + "2016-04-06 12:00:00-07:00 -1.42 \n", + "2016-04-06 15:00:00-07:00 -2.11 \n", + "2016-04-06 18:00:00-07:00 -4.98 \n", + "2016-04-06 21:00:00-07:00 -4.37 \n", + "2016-04-07 00:00:00-07:00 -4.24 \n", + "2016-04-07 03:00:00-07:00 -5.85 \n", + "2016-04-07 06:00:00-07:00 -3.30 \n", + "2016-04-07 09:00:00-07:00 -0.39 \n", + "2016-04-07 12:00:00-07:00 -0.30 \n", + "2016-04-07 15:00:00-07:00 0.01 \n", + "2016-04-07 18:00:00-07:00 -5.03 \n", + "2016-04-07 21:00:00-07:00 -3.45 \n", + "2016-04-08 00:00:00-07:00 -3.60 \n", + "2016-04-08 03:00:00-07:00 -5.01 \n", + "2016-04-08 06:00:00-07:00 -3.99 \n", + "2016-04-08 09:00:00-07:00 -2.90 \n", + "2016-04-08 12:00:00-07:00 -2.54 \n", + "2016-04-08 15:00:00-07:00 -1.81 \n", + "2016-04-08 18:00:00-07:00 2.41 \n", + "2016-04-08 21:00:00-07:00 4.62 \n", + "2016-04-09 00:00:00-07:00 5.20 \n", + "2016-04-09 03:00:00-07:00 2.67 \n", + "2016-04-09 06:00:00-07:00 0.26 \n", + "2016-04-09 09:00:00-07:00 -0.30 \n", + "2016-04-09 12:00:00-07:00 -1.75 \n", + "2016-04-09 15:00:00-07:00 -0.62 \n", + "2016-04-09 18:00:00-07:00 4.30 \n", + "2016-04-09 21:00:00-07:00 7.66 \n", + "2016-04-10 00:00:00-07:00 8.93 \n", + "2016-04-10 03:00:00-07:00 4.84 \n", + "2016-04-10 06:00:00-07:00 2.66 \n", + "\n", + " v-component_of_wind_isobaric \n", + "2016-04-03 09:00:00-07:00 1.39 \n", + "2016-04-03 12:00:00-07:00 2.62 \n", + "2016-04-03 15:00:00-07:00 1.46 \n", + "2016-04-03 18:00:00-07:00 0.68 \n", + "2016-04-03 21:00:00-07:00 0.15 \n", + "2016-04-04 00:00:00-07:00 -1.77 \n", + "2016-04-04 03:00:00-07:00 -2.22 \n", + "2016-04-04 06:00:00-07:00 -1.23 \n", + "2016-04-04 09:00:00-07:00 -0.51 \n", + "2016-04-04 12:00:00-07:00 1.10 \n", + "2016-04-04 15:00:00-07:00 0.79 \n", + "2016-04-04 18:00:00-07:00 2.27 \n", + "2016-04-04 21:00:00-07:00 0.90 \n", + "2016-04-05 00:00:00-07:00 0.05 \n", + "2016-04-05 03:00:00-07:00 -1.58 \n", + "2016-04-05 06:00:00-07:00 0.06 \n", + "2016-04-05 09:00:00-07:00 0.06 \n", + "2016-04-05 12:00:00-07:00 0.24 \n", + "2016-04-05 15:00:00-07:00 0.35 \n", + "2016-04-05 18:00:00-07:00 -1.64 \n", + "2016-04-05 21:00:00-07:00 -2.96 \n", + "2016-04-06 00:00:00-07:00 -5.37 \n", + "2016-04-06 03:00:00-07:00 -1.99 \n", + "2016-04-06 06:00:00-07:00 -1.54 \n", + "2016-04-06 09:00:00-07:00 -0.67 \n", + "2016-04-06 12:00:00-07:00 -0.20 \n", + "2016-04-06 15:00:00-07:00 0.43 \n", + "2016-04-06 18:00:00-07:00 -0.24 \n", + "2016-04-06 21:00:00-07:00 0.12 \n", + "2016-04-07 00:00:00-07:00 0.45 \n", + "2016-04-07 03:00:00-07:00 1.98 \n", + "2016-04-07 06:00:00-07:00 4.93 \n", + "2016-04-07 09:00:00-07:00 3.84 \n", + "2016-04-07 12:00:00-07:00 1.66 \n", + "2016-04-07 15:00:00-07:00 0.22 \n", + "2016-04-07 18:00:00-07:00 -2.78 \n", + "2016-04-07 21:00:00-07:00 0.34 \n", + "2016-04-08 00:00:00-07:00 -1.35 \n", + "2016-04-08 03:00:00-07:00 -0.13 \n", + "2016-04-08 06:00:00-07:00 1.65 \n", + "2016-04-08 09:00:00-07:00 1.50 \n", + "2016-04-08 12:00:00-07:00 1.60 \n", + "2016-04-08 15:00:00-07:00 1.74 \n", + "2016-04-08 18:00:00-07:00 3.85 \n", + "2016-04-08 21:00:00-07:00 3.60 \n", + "2016-04-09 00:00:00-07:00 3.04 \n", + "2016-04-09 03:00:00-07:00 1.59 \n", + "2016-04-09 06:00:00-07:00 1.08 \n", + "2016-04-09 09:00:00-07:00 1.80 \n", + "2016-04-09 12:00:00-07:00 2.21 \n", + "2016-04-09 15:00:00-07:00 5.23 \n", + "2016-04-09 18:00:00-07:00 8.53 \n", + "2016-04-09 21:00:00-07:00 8.91 \n", + "2016-04-10 00:00:00-07:00 7.03 \n", + "2016-04-10 03:00:00-07:00 2.11 \n", + "2016-04-10 06:00:00-07:00 4.17 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data = fm.process_data(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# retrieve data\n", + "data = fm.get_processed_data(latitude, longitude, start, end)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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    temperaturewind_speedghidnidhitotal_cloudslow_cloudsmid_cloudshigh_clouds
    2016-04-03 09:00:00-07:0011.2500004.719343569.712283829.66830992.6837440.00.00.00.0
    2016-04-03 12:00:00-07:009.8500065.627148980.540706989.349943100.7489990.00.00.00.0
    2016-04-03 15:00:00-07:0018.7500004.740433749.436252913.97999797.0132800.00.00.00.0
    2016-04-03 18:00:00-07:0036.3500063.53600186.669267223.87968552.4368250.00.00.00.0
    2016-04-03 21:00:00-07:0044.6499940.6281720.0000000.0000000.0000000.00.00.00.0
    2016-04-04 00:00:00-07:0031.9500121.8313380.0000000.0000000.0000000.00.00.00.0
    2016-04-04 03:00:00-07:0016.8500062.4389550.0000000.0000000.0000000.00.00.00.0
    2016-04-04 06:00:00-07:0013.5500181.3774250.0000000.0000000.0000000.00.00.00.0
    2016-04-04 09:00:00-07:0011.5500181.832403574.824061832.51650792.8328740.00.00.00.0
    2016-04-04 12:00:00-07:009.8500062.033249984.610605990.448411100.8026160.00.00.00.0
    2016-04-04 15:00:00-07:0022.7500002.328132752.580636915.21299997.0753580.00.00.00.0
    2016-04-04 18:00:00-07:0039.4500122.31036888.648335229.69320352.9810620.00.00.00.0
    2016-04-04 21:00:00-07:0042.8500062.2571890.0000000.0000000.0000000.00.00.00.0
    2016-04-05 00:00:00-07:0033.2500003.1803930.0000000.0000000.0000008.00.00.08.0
    2016-04-05 03:00:00-07:0018.4500122.7167070.0000000.0000000.00000060.00.00.060.0
    2016-04-05 06:00:00-07:0015.1499941.6011250.0000000.0000000.00000067.00.00.067.0
    2016-04-05 09:00:00-07:0012.5500181.571146298.314480145.252044213.64706464.00.00.064.0
    2016-04-05 12:00:00-07:0010.3500060.264008615.713428396.547447260.66682656.00.00.056.0
    2016-04-05 15:00:00-07:0022.3500060.965660316.13425642.614842285.51120489.00.00.089.0
    2016-04-05 18:00:00-07:0037.6499941.64778664.6524160.00000364.65241695.00.00.095.0
    2016-04-05 21:00:00-07:0040.4500123.9795980.0000000.0000000.00000096.00.00.096.0
    2016-04-06 00:00:00-07:0030.9500125.7733260.0000000.0000000.00000090.00.00.090.0
    2016-04-06 03:00:00-07:0018.4500122.0873430.0000000.0000000.00000099.00.00.099.0
    2016-04-06 06:00:00-07:0015.9500121.5617940.0000000.0000000.00000099.00.00.099.0
    2016-04-06 09:00:00-07:0013.7500000.926553240.6429330.000000240.642933100.00.00.0100.0
    2016-04-06 12:00:00-07:0011.0500181.434015427.38210493.809306343.11299988.00.00.088.0
    2016-04-06 15:00:00-07:0023.7500002.153369359.755645127.022025268.18153976.00.00.076.0
    2016-04-06 18:00:00-07:0039.0500184.98578065.6206800.00552365.61979783.00.00.083.0
    2016-04-06 21:00:00-07:0043.3500064.3716470.0000000.0000000.00000086.00.00.086.0
    2016-04-07 00:00:00-07:0034.1499944.2638130.0000000.0000000.00000093.00.00.093.0
    2016-04-07 03:00:00-07:0023.0500186.1759940.0000000.0000000.00000097.00.01.097.0
    2016-04-07 06:00:00-07:0021.6499945.9325290.0000000.0000000.00000099.00.09.099.0
    2016-04-07 09:00:00-07:0018.6499943.859754242.2166500.000000242.216650100.00.078.0100.0
    2016-04-07 12:00:00-07:0017.8500061.686891369.5836460.000000369.583646100.00.088.0100.0
    2016-04-07 15:00:00-07:0020.3500060.220227296.5939640.000000296.593964100.00.070.0100.0
    2016-04-07 18:00:00-07:0032.2500005.74711266.5841630.00007466.58415192.00.076.088.0
    2016-04-07 21:00:00-07:0025.9500123.4667130.0000000.0000000.000000100.01.099.0100.0
    2016-04-08 00:00:00-07:0027.1499943.8448020.0000000.0000000.00000081.00.078.080.0
    2016-04-08 03:00:00-07:0016.9500125.0116860.0000000.0000000.00000015.00.02.014.0
    2016-04-08 06:00:00-07:0016.4500124.3177080.0000000.0000000.00000054.00.028.053.0
    2016-04-08 09:00:00-07:0015.2500003.264966244.2601641.182951243.55700598.00.084.098.0
    2016-04-08 12:00:00-07:0013.1499943.001933383.79132720.607123365.16148197.00.058.097.0
    2016-04-08 15:00:00-07:0021.3500062.510717311.94276628.402913291.33706092.00.03.092.0
    2016-04-08 18:00:00-07:0034.1499944.54209268.1041294.85267667.30488049.00.01.048.0
    2016-04-08 21:00:00-07:0031.7500005.8569960.0000000.0000000.00000042.042.00.00.0
    2016-04-09 00:00:00-07:0026.8500066.0234210.0000000.0000000.00000059.039.06.021.0
    2016-04-09 03:00:00-07:0016.4500123.1075720.0000000.0000000.00000028.00.00.027.0
    2016-04-09 06:00:00-07:0013.3500061.1108560.0000000.0000000.00000014.00.00.014.0
    2016-04-09 09:00:00-07:0011.5500181.824829599.428545845.79667093.5254490.00.00.00.0
    2016-04-09 12:00:00-07:0010.4500122.8189711003.859445995.556452101.0516660.00.00.00.0
    2016-04-09 15:00:00-07:0020.8500065.266621767.573173920.99815997.3661740.00.00.00.0
    2016-04-09 18:00:00-07:0031.8500069.55253498.694727258.22647955.5615740.00.00.00.0
    2016-04-09 21:00:00-07:0033.35000611.7500510.0000000.0000000.0000000.00.00.00.0
    2016-04-10 00:00:00-07:0025.25000011.3651130.0000000.0000000.0000000.00.00.00.0
    2016-04-10 03:00:00-07:0014.8500065.2799340.0000000.0000000.0000000.00.00.00.0
    2016-04-10 06:00:00-07:0012.3500064.9461600.0000000.0000000.0000005.00.00.06.0
    \n", + "
    " + ], + "text/plain": [ + " temperature wind_speed ghi dni \\\n", + "2016-04-03 09:00:00-07:00 11.250000 4.719343 569.712283 829.668309 \n", + "2016-04-03 12:00:00-07:00 9.850006 5.627148 980.540706 989.349943 \n", + "2016-04-03 15:00:00-07:00 18.750000 4.740433 749.436252 913.979997 \n", + "2016-04-03 18:00:00-07:00 36.350006 3.536001 86.669267 223.879685 \n", + "2016-04-03 21:00:00-07:00 44.649994 0.628172 0.000000 0.000000 \n", + "2016-04-04 00:00:00-07:00 31.950012 1.831338 0.000000 0.000000 \n", + "2016-04-04 03:00:00-07:00 16.850006 2.438955 0.000000 0.000000 \n", + "2016-04-04 06:00:00-07:00 13.550018 1.377425 0.000000 0.000000 \n", + "2016-04-04 09:00:00-07:00 11.550018 1.832403 574.824061 832.516507 \n", + "2016-04-04 12:00:00-07:00 9.850006 2.033249 984.610605 990.448411 \n", + "2016-04-04 15:00:00-07:00 22.750000 2.328132 752.580636 915.212999 \n", + "2016-04-04 18:00:00-07:00 39.450012 2.310368 88.648335 229.693203 \n", + "2016-04-04 21:00:00-07:00 42.850006 2.257189 0.000000 0.000000 \n", + "2016-04-05 00:00:00-07:00 33.250000 3.180393 0.000000 0.000000 \n", + "2016-04-05 03:00:00-07:00 18.450012 2.716707 0.000000 0.000000 \n", + "2016-04-05 06:00:00-07:00 15.149994 1.601125 0.000000 0.000000 \n", + "2016-04-05 09:00:00-07:00 12.550018 1.571146 298.314480 145.252044 \n", + "2016-04-05 12:00:00-07:00 10.350006 0.264008 615.713428 396.547447 \n", + "2016-04-05 15:00:00-07:00 22.350006 0.965660 316.134256 42.614842 \n", + "2016-04-05 18:00:00-07:00 37.649994 1.647786 64.652416 0.000003 \n", + "2016-04-05 21:00:00-07:00 40.450012 3.979598 0.000000 0.000000 \n", + "2016-04-06 00:00:00-07:00 30.950012 5.773326 0.000000 0.000000 \n", + "2016-04-06 03:00:00-07:00 18.450012 2.087343 0.000000 0.000000 \n", + "2016-04-06 06:00:00-07:00 15.950012 1.561794 0.000000 0.000000 \n", + "2016-04-06 09:00:00-07:00 13.750000 0.926553 240.642933 0.000000 \n", + "2016-04-06 12:00:00-07:00 11.050018 1.434015 427.382104 93.809306 \n", + "2016-04-06 15:00:00-07:00 23.750000 2.153369 359.755645 127.022025 \n", + "2016-04-06 18:00:00-07:00 39.050018 4.985780 65.620680 0.005523 \n", + "2016-04-06 21:00:00-07:00 43.350006 4.371647 0.000000 0.000000 \n", + "2016-04-07 00:00:00-07:00 34.149994 4.263813 0.000000 0.000000 \n", + "2016-04-07 03:00:00-07:00 23.050018 6.175994 0.000000 0.000000 \n", + "2016-04-07 06:00:00-07:00 21.649994 5.932529 0.000000 0.000000 \n", + "2016-04-07 09:00:00-07:00 18.649994 3.859754 242.216650 0.000000 \n", + "2016-04-07 12:00:00-07:00 17.850006 1.686891 369.583646 0.000000 \n", + "2016-04-07 15:00:00-07:00 20.350006 0.220227 296.593964 0.000000 \n", + "2016-04-07 18:00:00-07:00 32.250000 5.747112 66.584163 0.000074 \n", + "2016-04-07 21:00:00-07:00 25.950012 3.466713 0.000000 0.000000 \n", + "2016-04-08 00:00:00-07:00 27.149994 3.844802 0.000000 0.000000 \n", + "2016-04-08 03:00:00-07:00 16.950012 5.011686 0.000000 0.000000 \n", + "2016-04-08 06:00:00-07:00 16.450012 4.317708 0.000000 0.000000 \n", + "2016-04-08 09:00:00-07:00 15.250000 3.264966 244.260164 1.182951 \n", + "2016-04-08 12:00:00-07:00 13.149994 3.001933 383.791327 20.607123 \n", + "2016-04-08 15:00:00-07:00 21.350006 2.510717 311.942766 28.402913 \n", + "2016-04-08 18:00:00-07:00 34.149994 4.542092 68.104129 4.852676 \n", + "2016-04-08 21:00:00-07:00 31.750000 5.856996 0.000000 0.000000 \n", + "2016-04-09 00:00:00-07:00 26.850006 6.023421 0.000000 0.000000 \n", + "2016-04-09 03:00:00-07:00 16.450012 3.107572 0.000000 0.000000 \n", + "2016-04-09 06:00:00-07:00 13.350006 1.110856 0.000000 0.000000 \n", + "2016-04-09 09:00:00-07:00 11.550018 1.824829 599.428545 845.796670 \n", + "2016-04-09 12:00:00-07:00 10.450012 2.818971 1003.859445 995.556452 \n", + "2016-04-09 15:00:00-07:00 20.850006 5.266621 767.573173 920.998159 \n", + "2016-04-09 18:00:00-07:00 31.850006 9.552534 98.694727 258.226479 \n", + "2016-04-09 21:00:00-07:00 33.350006 11.750051 0.000000 0.000000 \n", + "2016-04-10 00:00:00-07:00 25.250000 11.365113 0.000000 0.000000 \n", + "2016-04-10 03:00:00-07:00 14.850006 5.279934 0.000000 0.000000 \n", + "2016-04-10 06:00:00-07:00 12.350006 4.946160 0.000000 0.000000 \n", + "\n", + " dhi total_clouds low_clouds mid_clouds \\\n", + "2016-04-03 09:00:00-07:00 92.683744 0.0 0.0 0.0 \n", + "2016-04-03 12:00:00-07:00 100.748999 0.0 0.0 0.0 \n", + "2016-04-03 15:00:00-07:00 97.013280 0.0 0.0 0.0 \n", + "2016-04-03 18:00:00-07:00 52.436825 0.0 0.0 0.0 \n", + "2016-04-03 21:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 00:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 03:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 06:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 09:00:00-07:00 92.832874 0.0 0.0 0.0 \n", + "2016-04-04 12:00:00-07:00 100.802616 0.0 0.0 0.0 \n", + "2016-04-04 15:00:00-07:00 97.075358 0.0 0.0 0.0 \n", + "2016-04-04 18:00:00-07:00 52.981062 0.0 0.0 0.0 \n", + "2016-04-04 21:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-05 00:00:00-07:00 0.000000 8.0 0.0 0.0 \n", + "2016-04-05 03:00:00-07:00 0.000000 60.0 0.0 0.0 \n", + "2016-04-05 06:00:00-07:00 0.000000 67.0 0.0 0.0 \n", + "2016-04-05 09:00:00-07:00 213.647064 64.0 0.0 0.0 \n", + "2016-04-05 12:00:00-07:00 260.666826 56.0 0.0 0.0 \n", + "2016-04-05 15:00:00-07:00 285.511204 89.0 0.0 0.0 \n", + "2016-04-05 18:00:00-07:00 64.652416 95.0 0.0 0.0 \n", + "2016-04-05 21:00:00-07:00 0.000000 96.0 0.0 0.0 \n", + "2016-04-06 00:00:00-07:00 0.000000 90.0 0.0 0.0 \n", + "2016-04-06 03:00:00-07:00 0.000000 99.0 0.0 0.0 \n", + "2016-04-06 06:00:00-07:00 0.000000 99.0 0.0 0.0 \n", + "2016-04-06 09:00:00-07:00 240.642933 100.0 0.0 0.0 \n", + "2016-04-06 12:00:00-07:00 343.112999 88.0 0.0 0.0 \n", + "2016-04-06 15:00:00-07:00 268.181539 76.0 0.0 0.0 \n", + "2016-04-06 18:00:00-07:00 65.619797 83.0 0.0 0.0 \n", + "2016-04-06 21:00:00-07:00 0.000000 86.0 0.0 0.0 \n", + "2016-04-07 00:00:00-07:00 0.000000 93.0 0.0 0.0 \n", + "2016-04-07 03:00:00-07:00 0.000000 97.0 0.0 1.0 \n", + "2016-04-07 06:00:00-07:00 0.000000 99.0 0.0 9.0 \n", + "2016-04-07 09:00:00-07:00 242.216650 100.0 0.0 78.0 \n", + "2016-04-07 12:00:00-07:00 369.583646 100.0 0.0 88.0 \n", + "2016-04-07 15:00:00-07:00 296.593964 100.0 0.0 70.0 \n", + "2016-04-07 18:00:00-07:00 66.584151 92.0 0.0 76.0 \n", + "2016-04-07 21:00:00-07:00 0.000000 100.0 1.0 99.0 \n", + "2016-04-08 00:00:00-07:00 0.000000 81.0 0.0 78.0 \n", + "2016-04-08 03:00:00-07:00 0.000000 15.0 0.0 2.0 \n", + "2016-04-08 06:00:00-07:00 0.000000 54.0 0.0 28.0 \n", + "2016-04-08 09:00:00-07:00 243.557005 98.0 0.0 84.0 \n", + "2016-04-08 12:00:00-07:00 365.161481 97.0 0.0 58.0 \n", + "2016-04-08 15:00:00-07:00 291.337060 92.0 0.0 3.0 \n", + "2016-04-08 18:00:00-07:00 67.304880 49.0 0.0 1.0 \n", + "2016-04-08 21:00:00-07:00 0.000000 42.0 42.0 0.0 \n", + "2016-04-09 00:00:00-07:00 0.000000 59.0 39.0 6.0 \n", + "2016-04-09 03:00:00-07:00 0.000000 28.0 0.0 0.0 \n", + "2016-04-09 06:00:00-07:00 0.000000 14.0 0.0 0.0 \n", + "2016-04-09 09:00:00-07:00 93.525449 0.0 0.0 0.0 \n", + "2016-04-09 12:00:00-07:00 101.051666 0.0 0.0 0.0 \n", + "2016-04-09 15:00:00-07:00 97.366174 0.0 0.0 0.0 \n", + "2016-04-09 18:00:00-07:00 55.561574 0.0 0.0 0.0 \n", + "2016-04-09 21:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-10 00:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-10 03:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-10 06:00:00-07:00 0.000000 5.0 0.0 0.0 \n", + "\n", + " high_clouds \n", + "2016-04-03 09:00:00-07:00 0.0 \n", + "2016-04-03 12:00:00-07:00 0.0 \n", + "2016-04-03 15:00:00-07:00 0.0 \n", + "2016-04-03 18:00:00-07:00 0.0 \n", + "2016-04-03 21:00:00-07:00 0.0 \n", + "2016-04-04 00:00:00-07:00 0.0 \n", + "2016-04-04 03:00:00-07:00 0.0 \n", + "2016-04-04 06:00:00-07:00 0.0 \n", + "2016-04-04 09:00:00-07:00 0.0 \n", + "2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 0.0 \n", + "2016-04-04 18:00:00-07:00 0.0 \n", + "2016-04-04 21:00:00-07:00 0.0 \n", + "2016-04-05 00:00:00-07:00 8.0 \n", + "2016-04-05 03:00:00-07:00 60.0 \n", + 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09:00:00-07:00 98.0 \n", + "2016-04-08 12:00:00-07:00 97.0 \n", + "2016-04-08 15:00:00-07:00 92.0 \n", + "2016-04-08 18:00:00-07:00 48.0 \n", + "2016-04-08 21:00:00-07:00 0.0 \n", + "2016-04-09 00:00:00-07:00 21.0 \n", + "2016-04-09 03:00:00-07:00 27.0 \n", + "2016-04-09 06:00:00-07:00 14.0 \n", + "2016-04-09 09:00:00-07:00 0.0 \n", + "2016-04-09 12:00:00-07:00 0.0 \n", + "2016-04-09 15:00:00-07:00 0.0 \n", + "2016-04-09 18:00:00-07:00 0.0 \n", + "2016-04-09 21:00:00-07:00 0.0 \n", + "2016-04-10 00:00:00-07:00 0.0 \n", + "2016-04-10 03:00:00-07:00 0.0 \n", + "2016-04-10 06:00:00-07:00 6.0 " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" }, { "data": { - "image/png": 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UBmYTh3K+iLGxxR1fRqq/9+8cGGFmGLCZ9kDkv15+DxwHnH96cMFr97sqt+K9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\nZ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jHUwCbNRbm14XTVCmuVOiKCKZLcLnXn5pBkAdNOSw+40JTM7m8P7zB5fsajIYciOe5pEr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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -151,23 +2538,23 @@ ], "source": [ "data['temperature'].plot()\n", - "plt.ylabel(fm.var_stdnames['temperature'] + ' (%s)' % fm.var_units['temperature'])" + "plt.ylabel('temperature (%s)' % fm.units['temperature'])" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "cloud_vars = ['total_clouds','low_clouds','mid_clouds','high_clouds']" + "cloud_vars = ['total_clouds', 'low_clouds', 'mid_clouds', 'high_clouds']" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "metadata": { "collapsed": false, "scrolled": false @@ -176,18 +2563,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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EhlyHwJNr0DovzVuLYnVywbVZTYUFWkuuwYlpmsa//vkD1DgxJlu45ZbRPm0/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\nW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ZM7nrrrv4wQ9+QGtra4+etzQGEEJ02c6vKmgpbcSjKNwRoCp0ZzNz5lhe/8tm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\nwVNPPUVhYSEAdrudVatWMXXqV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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -205,7 +2592,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 12, "metadata": { "collapsed": true }, @@ -216,7 +2603,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 13, "metadata": { "collapsed": false }, @@ -224,18 +2611,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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DXQ5GkinpiXSfPn0Ih8PYtk11dTVer5cFCxYwePBgAIYNG8a8eZkzBzhZjApV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\nI6vDEZEG4PUdynJEx4SL2EHM8hN+86uTgyUIVEgHSXTtWIe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IzMxk3759bNmyRc+DADjd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VpaQ+8RhJy5eSPugWlLzcat8m4eOPsP3yM/4mTU+apERdQgLFl18F1O6qdOKSxaVJ9NAR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\niIiI7MBGmoiIiIjIDmykiYiIiIjs8P9sGDUNEQ7F3wAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -244,7 +2631,7 @@ ], "source": [ "total_cloud_cover.plot(color='r', linewidth=2)\n", - "plt.ylabel('Total cloud cover' + ' (%s)' % fm.var_units['total_clouds'])\n", + "plt.ylabel('Total cloud cover' + ' (%s)' % fm.units['total_clouds'])\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", "plt.title('GFS 0.5 deg')" ] @@ -258,7 +2645,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 14, "metadata": { "collapsed": false }, @@ -270,19 +2657,19 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, start, end)" + "data = fm.get_processed_data(latitude, longitude, start, end)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 16, "metadata": { "collapsed": false }, @@ -290,18 +2677,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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nszEYte0/Crqus/9wDTX1Tn+X0mZoDmOEJy0t+ryOEx8TBoAquUgIIXyqusaO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\n", 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paIDL1XUDo+IKB1VVLsyomM0qUfHhlJTUYK+SIa9CdJT09HTGjx/Prbfeiq7r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a0FRquU0QFAwusx0jZYSuc4Do4eWgKw+mLXRqmYGxhVzcqGnqPRC54/CRNAzAH2PZdv+3GIaG0M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\nNCdyT5N6T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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -319,7 +2706,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 17, "metadata": { "collapsed": false }, @@ -334,869 +2721,869 @@ " \n", " temperature\n", " wind_speed\n", + " ghi\n", + " dni\n", + " dhi\n", " total_clouds\n", " low_clouds\n", " mid_clouds\n", " high_clouds\n", - " dhi\n", - " dni\n", - " ghi\n", " \n", " \n", " \n", " \n", - " 2016-02-18 02:00:00-07:00\n", - " 13.649994\n", - " 3.678220\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2016-04-03 09:00:00-07:00\n", + " 12.050018\n", + " 5.031501\n", + " 569.712283\n", + " 829.668309\n", + " 92.683744\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 12:00:00-07:00\n", + " 10.850006\n", + " 5.904075\n", + " 980.540706\n", + " 989.349943\n", + " 100.748999\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 15:00:00-07:00\n", + " 19.250000\n", + " 4.729503\n", + " 749.436252\n", + 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2016-04-05 06:00:00-07:00\n", + " 14.350006\n", + " 1.240202\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 38.0\n", + " 0.0\n", + " 0.0\n", + " 38.0\n", " \n", " \n", - " 2016-02-20 20:00:00-07:00\n", - " 17.250000\n", - " 3.263373\n", - " 44\n", - " 0\n", - " 0\n", - " 44\n", + " 2016-04-05 09:00:00-07:00\n", + " 12.050018\n", + " 1.297575\n", + " 385.253540\n", + " 358.322310\n", + " 176.387467\n", + " 39.0\n", + " 0.0\n", + " 0.0\n", + " 39.0\n", + " \n", + " \n", + " 2016-04-05 12:00:00-07:00\n", + " 10.149994\n", + " 0.720278\n", + " 725.077835\n", + " 571.044365\n", + " 213.796366\n", + " 39.0\n", + " 0.0\n", + " 0.0\n", + " 39.0\n", + " \n", + " \n", + " 2016-04-05 15:00:00-07:00\n", + " 22.750000\n", + " 1.301153\n", + " 340.522376\n", + " 91.098199\n", + " 275.059152\n", + " 81.0\n", + " 0.0\n", + " 0.0\n", + " 81.0\n", + " \n", + " \n", + " 2016-04-05 18:00:00-07:00\n", + " 38.149994\n", + " 1.071868\n", + " 64.652426\n", + " 0.000095\n", + " 64.652411\n", + " 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2016-04-06 06:00:00-07:00\n", + " 15.750000\n", + " 1.642224\n", " 0.000000\n", - " 0.000000e+00\n", " 0.000000\n", + " 0.000000\n", + " 99.0\n", + " 0.0\n", + " 0.0\n", + " 99.0\n", " \n", " \n", - " 2016-02-21 08:00:00-07:00\n", - " 13.649994\n", - " 0.646607\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 61.388133\n", - " 3.284074e+02\n", - " 126.092093\n", + " 2016-04-06 09:00:00-07:00\n", + " 13.950012\n", + " 1.746568\n", + " 240.642933\n", + " 0.000000\n", + " 240.642933\n", + " 100.0\n", + " 0.0\n", + " 0.0\n", + " 100.0\n", " \n", " \n", - " 2016-02-21 11:00:00-07:00\n", - " 29.550018\n", - " 1.569745\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 95.539521\n", - " 8.849063e+02\n", - " 680.097625\n", - " \n", - " \n", - " 2016-02-21 14:00:00-07:00\n", - " 32.450012\n", - " 4.133098\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 96.132785\n", - " 8.965641e+02\n", - " 706.837239\n", - " \n", - " \n", - " 2016-02-21 17:00:00-07:00\n", - " 24.750000\n", - " 4.993455\n", - " 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20:00:00-07:00\n", - " 16.550018\n", - " 2.937107\n", - " 87\n", - " 0\n", - " 0\n", - " 87\n", + " 2016-04-09 06:00:00-07:00\n", + " 12.750000\n", + " 0.481664\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 15.0\n", + " 0.0\n", + " 0.0\n", + " 15.0\n", + " \n", + " \n", + " 2016-04-09 09:00:00-07:00\n", + " 10.950012\n", + " 0.781025\n", + " 599.428545\n", + " 845.796670\n", + " 93.525449\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-09 12:00:00-07:00\n", + " 9.750000\n", + " 2.347978\n", + " 1003.859445\n", + " 995.556452\n", + " 101.051666\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-09 15:00:00-07:00\n", + " 21.250000\n", + " 3.984972\n", + " 767.573173\n", + " 920.998159\n", + " 97.366174\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-09 18:00:00-07:00\n", + " 31.950012\n", + " 7.947308\n", + " 98.694727\n", + " 258.226479\n", + " 55.561574\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-09 21:00:00-07:00\n", + " 33.149994\n", + " 11.014355\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-10 00:00:00-07:00\n", + " 25.350006\n", + " 10.863821\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-10 03:00:00-07:00\n", + " 14.750000\n", + " 4.480737\n", " 0.000000\n", - " 0.000000e+00\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-24 23:00:00-07:00\n", - " 13.649994\n", - " 2.440082\n", - " 83\n", - " 0\n", - " 0\n", - " 83\n", + " 2016-04-10 06:00:00-07:00\n", + " 12.250000\n", + " 3.254059\n", " 0.000000\n", - " 0.000000e+00\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " temperature wind_speed total_clouds low_clouds \\\n", - "2016-02-18 02:00:00-07:00 13.649994 3.678220 0 0 \n", - "2016-02-18 05:00:00-07:00 11.649994 2.452264 0 0 \n", - "2016-02-18 08:00:00-07:00 14.350006 3.644078 0 0 \n", - "2016-02-18 11:00:00-07:00 29.750000 5.171779 0 0 \n", - "2016-02-18 14:00:00-07:00 33.649994 6.112871 2 0 \n", - "2016-02-18 17:00:00-07:00 26.350006 5.179286 35 0 \n", - "2016-02-18 20:00:00-07:00 19.050018 3.219223 97 0 \n", - "2016-02-18 23:00:00-07:00 15.149994 1.597780 79 0 \n", - "2016-02-19 02:00:00-07:00 13.950012 1.608229 82 0 \n", - "2016-02-19 05:00:00-07:00 12.750000 3.015295 85 0 \n", - "2016-02-19 08:00:00-07:00 15.350006 4.012879 87 0 \n", - "2016-02-19 11:00:00-07:00 30.050018 4.684709 82 0 \n", - "2016-02-19 14:00:00-07:00 33.649994 4.200774 75 0 \n", - "2016-02-19 17:00:00-07:00 26.450012 4.280853 65 0 \n", - "2016-02-19 20:00:00-07:00 16.750000 2.785821 63 0 \n", - "2016-02-19 23:00:00-07:00 14.649994 1.071168 69 0 \n", - "2016-02-20 02:00:00-07:00 13.649994 1.108197 99 0 \n", - "2016-02-20 05:00:00-07:00 11.850006 1.955633 96 0 \n", - "2016-02-20 08:00:00-07:00 14.149994 2.432879 41 0 \n", - "2016-02-20 11:00:00-07:00 31.250000 0.785684 23 0 \n", - "2016-02-20 14:00:00-07:00 34.450012 2.048634 0 0 \n", - "2016-02-20 17:00:00-07:00 26.350006 4.164277 16 0 \n", - "2016-02-20 20:00:00-07:00 17.250000 3.263373 44 0 \n", - "2016-02-20 23:00:00-07:00 14.649994 1.855263 29 0 \n", - "2016-02-21 02:00:00-07:00 12.550018 1.508144 0 0 \n", - "2016-02-21 05:00:00-07:00 10.950012 1.518322 0 0 \n", - "2016-02-21 08:00:00-07:00 13.649994 0.646607 0 0 \n", - "2016-02-21 11:00:00-07:00 29.550018 1.569745 0 0 \n", - "2016-02-21 14:00:00-07:00 32.450012 4.133098 0 0 \n", - "2016-02-21 17:00:00-07:00 24.750000 4.993455 0 0 \n", - "2016-02-21 20:00:00-07:00 14.850006 2.954471 0 0 \n", - "2016-02-21 23:00:00-07:00 11.950012 1.994593 0 0 \n", - "2016-02-22 02:00:00-07:00 9.750000 1.068878 0 0 \n", - "2016-02-22 05:00:00-07:00 8.250000 1.341641 0 0 \n", - "2016-02-22 08:00:00-07:00 11.649994 2.308679 0 0 \n", - "2016-02-22 11:00:00-07:00 29.649994 1.236932 0 0 \n", - "2016-02-22 14:00:00-07:00 32.750000 3.700000 0 0 \n", - "2016-02-22 17:00:00-07:00 25.350006 3.677635 0 0 \n", - "2016-02-22 20:00:00-07:00 15.149994 2.898413 0 0 \n", - "2016-02-22 23:00:00-07:00 12.450012 1.910864 0 0 \n", - "2016-02-23 02:00:00-07:00 10.149994 1.518223 0 0 \n", - "2016-02-23 05:00:00-07:00 8.350006 1.544960 0 0 \n", - "2016-02-23 08:00:00-07:00 11.750000 2.505454 0 0 \n", - "2016-02-23 11:00:00-07:00 30.649994 1.005684 13 0 \n", - "2016-02-23 14:00:00-07:00 34.050018 2.673668 64 0 \n", - "2016-02-23 17:00:00-07:00 25.950012 3.101032 74 0 \n", - "2016-02-23 20:00:00-07:00 15.149994 1.952434 92 0 \n", - "2016-02-23 23:00:00-07:00 13.050018 0.960469 96 0 \n", - "2016-02-24 02:00:00-07:00 11.350006 1.742699 98 0 \n", - "2016-02-24 05:00:00-07:00 10.850006 3.201000 99 0 \n", - "2016-02-24 08:00:00-07:00 14.149994 4.324535 99 0 \n", - "2016-02-24 11:00:00-07:00 30.350006 3.630496 97 0 \n", - "2016-02-24 14:00:00-07:00 35.149994 2.629448 92 0 \n", - "2016-02-24 17:00:00-07:00 27.350006 2.839331 92 0 \n", - "2016-02-24 20:00:00-07:00 16.550018 2.937107 87 0 \n", - "2016-02-24 23:00:00-07:00 13.649994 2.440082 83 0 \n", + " temperature wind_speed ghi dni \\\n", + "2016-04-03 09:00:00-07:00 12.050018 5.031501 569.712283 829.668309 \n", + "2016-04-03 12:00:00-07:00 10.850006 5.904075 980.540706 989.349943 \n", + "2016-04-03 15:00:00-07:00 19.250000 4.729503 749.436252 913.979997 \n", + "2016-04-03 18:00:00-07:00 35.950012 3.047261 86.669267 223.879685 \n", + "2016-04-03 21:00:00-07:00 40.149994 1.516047 0.000000 0.000000 \n", + "2016-04-04 00:00:00-07:00 31.450012 1.078378 0.000000 0.000000 \n", + "2016-04-04 03:00:00-07:00 15.850006 2.245907 0.000000 0.000000 \n", + "2016-04-04 06:00:00-07:00 13.149994 1.204159 0.000000 0.000000 \n", + "2016-04-04 09:00:00-07:00 11.350006 2.067124 574.824061 832.516507 \n", + "2016-04-04 12:00:00-07:00 9.750000 2.182842 984.610605 990.448411 \n", + "2016-04-04 15:00:00-07:00 22.750000 2.766839 752.580636 915.212999 \n", + "2016-04-04 18:00:00-07:00 38.149994 3.051884 88.648335 229.693203 \n", + "2016-04-04 21:00:00-07:00 41.649994 2.469109 0.000000 0.000000 \n", + "2016-04-05 00:00:00-07:00 33.149994 2.870853 0.000000 0.000000 \n", + "2016-04-05 03:00:00-07:00 17.850006 2.907129 0.000000 0.000000 \n", + "2016-04-05 06:00:00-07:00 14.350006 1.240202 0.000000 0.000000 \n", + "2016-04-05 09:00:00-07:00 12.050018 1.297575 385.253540 358.322310 \n", + "2016-04-05 12:00:00-07:00 10.149994 0.720278 725.077835 571.044365 \n", + "2016-04-05 15:00:00-07:00 22.750000 1.301153 340.522376 91.098199 \n", + "2016-04-05 18:00:00-07:00 38.149994 1.071868 64.652426 0.000095 \n", + "2016-04-05 21:00:00-07:00 39.450012 4.217404 0.000000 0.000000 \n", + "2016-04-06 00:00:00-07:00 31.050018 5.041676 0.000000 0.000000 \n", + "2016-04-06 03:00:00-07:00 17.950012 1.459897 0.000000 0.000000 \n", + "2016-04-06 06:00:00-07:00 15.750000 1.642224 0.000000 0.000000 \n", + "2016-04-06 09:00:00-07:00 13.950012 1.746568 240.642933 0.000000 \n", + "2016-04-06 12:00:00-07:00 11.250000 1.498166 427.382104 93.809306 \n", + "2016-04-06 15:00:00-07:00 23.750000 3.153569 367.274193 141.920516 \n", + "2016-04-06 18:00:00-07:00 39.350006 3.295391 65.621271 0.010800 \n", + "2016-04-06 21:00:00-07:00 43.149994 3.223740 0.000000 0.000000 \n", + "2016-04-07 00:00:00-07:00 34.649994 3.215602 0.000000 0.000000 \n", + "2016-04-07 03:00:00-07:00 23.050018 6.300008 0.000000 0.000000 \n", + "2016-04-07 06:00:00-07:00 22.550018 7.983940 0.000000 0.000000 \n", + "2016-04-07 09:00:00-07:00 18.550018 3.587102 242.216650 0.000000 \n", + "2016-04-07 12:00:00-07:00 17.250000 1.925201 369.583646 0.000000 \n", + "2016-04-07 15:00:00-07:00 22.550018 1.248439 296.593964 0.000000 \n", + "2016-04-07 18:00:00-07:00 22.750000 5.587352 66.584154 0.000000 \n", + "2016-04-07 21:00:00-07:00 25.149994 4.019080 0.000000 0.000000 \n", + "2016-04-08 00:00:00-07:00 24.450012 4.881117 0.000000 0.000000 \n", + "2016-04-08 03:00:00-07:00 16.649994 5.799181 0.000000 0.000000 \n", + "2016-04-08 06:00:00-07:00 16.550018 6.092750 0.000000 0.000000 \n", + "2016-04-08 09:00:00-07:00 14.350006 4.480357 255.176694 27.419078 \n", + "2016-04-08 12:00:00-07:00 12.950012 3.985536 500.684197 205.320386 \n", + "2016-04-08 15:00:00-07:00 20.649994 3.274263 307.225057 19.113069 \n", + "2016-04-08 18:00:00-07:00 33.750000 4.370595 67.813017 2.327680 \n", + "2016-04-08 21:00:00-07:00 29.250000 4.859270 0.000000 0.000000 \n", + "2016-04-09 00:00:00-07:00 27.050018 5.258174 0.000000 0.000000 \n", + "2016-04-09 03:00:00-07:00 16.050018 3.255918 0.000000 0.000000 \n", + "2016-04-09 06:00:00-07:00 12.750000 0.481664 0.000000 0.000000 \n", + "2016-04-09 09:00:00-07:00 10.950012 0.781025 599.428545 845.796670 \n", + "2016-04-09 12:00:00-07:00 9.750000 2.347978 1003.859445 995.556452 \n", + "2016-04-09 15:00:00-07:00 21.250000 3.984972 767.573173 920.998159 \n", + "2016-04-09 18:00:00-07:00 31.950012 7.947308 98.694727 258.226479 \n", + "2016-04-09 21:00:00-07:00 33.149994 11.014355 0.000000 0.000000 \n", + "2016-04-10 00:00:00-07:00 25.350006 10.863821 0.000000 0.000000 \n", + "2016-04-10 03:00:00-07:00 14.750000 4.480737 0.000000 0.000000 \n", + "2016-04-10 06:00:00-07:00 12.250000 3.254059 0.000000 0.000000 \n", "\n", - " mid_clouds high_clouds dhi dni \\\n", - "2016-02-18 02:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-18 05:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-18 08:00:00-07:00 0 0 59.221272 3.013900e+02 \n", - "2016-02-18 11:00:00-07:00 0 0 95.147829 8.772437e+02 \n", - "2016-02-18 14:00:00-07:00 2 0 101.088350 8.632626e+02 \n", - "2016-02-18 17:00:00-07:00 35 27 92.133615 6.884327e+01 \n", - "2016-02-18 20:00:00-07:00 97 89 0.000000 0.000000e+00 \n", - "2016-02-18 23:00:00-07:00 66 74 0.000000 0.000000e+00 \n", - "2016-02-19 02:00:00-07:00 8 81 0.000000 0.000000e+00 \n", - "2016-02-19 05:00:00-07:00 9 84 0.000000 0.000000e+00 \n", - "2016-02-19 08:00:00-07:00 12 86 77.554618 8.415816e-03 \n", - "2016-02-19 11:00:00-07:00 6 81 254.899002 6.362399e+01 \n", - "2016-02-19 14:00:00-07:00 0 75 252.980769 1.140161e+02 \n", - "2016-02-19 17:00:00-07:00 0 65 97.984621 5.650927e+00 \n", - "2016-02-19 20:00:00-07:00 0 63 0.000000 0.000000e+00 \n", - "2016-02-19 23:00:00-07:00 0 69 0.000000 0.000000e+00 \n", - "2016-02-20 02:00:00-07:00 0 99 0.000000 0.000000e+00 \n", - "2016-02-20 05:00:00-07:00 0 96 0.000000 0.000000e+00 \n", - "2016-02-20 08:00:00-07:00 0 41 77.880173 2.218350e+01 \n", - "2016-02-20 11:00:00-07:00 0 23 152.412793 5.928149e+02 \n", - "2016-02-20 14:00:00-07:00 0 0 96.017849 8.943007e+02 \n", - "2016-02-20 17:00:00-07:00 0 16 84.395338 2.104956e+02 \n", - "2016-02-20 20:00:00-07:00 0 44 0.000000 0.000000e+00 \n", - "2016-02-20 23:00:00-07:00 0 29 0.000000 0.000000e+00 \n", - "2016-02-21 02:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-21 05:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-21 08:00:00-07:00 0 0 61.388133 3.284074e+02 \n", - "2016-02-21 11:00:00-07:00 0 0 95.539521 8.849063e+02 \n", - "2016-02-21 14:00:00-07:00 0 0 96.132785 8.965641e+02 \n", - "2016-02-21 17:00:00-07:00 0 0 69.089813 4.329452e+02 \n", - "2016-02-21 20:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-21 23:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-22 02:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-22 05:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-22 08:00:00-07:00 0 0 62.099159 3.375058e+02 \n", - "2016-02-22 11:00:00-07:00 0 0 95.668495 8.874354e+02 \n", - "2016-02-22 14:00:00-07:00 0 0 96.246256 8.988009e+02 \n", - "2016-02-22 17:00:00-07:00 0 0 69.532474 4.393474e+02 \n", - "2016-02-22 20:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-22 23:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-23 02:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-23 05:00:00-07:00 0 0 0.000000 0.000000e+00 \n", - "2016-02-23 08:00:00-07:00 0 0 62.803461 3.466306e+02 \n", - "2016-02-23 11:00:00-07:00 0 13 129.324222 7.229874e+02 \n", - "2016-02-23 14:00:00-07:00 0 64 240.275872 2.050236e+02 \n", - "2016-02-23 17:00:00-07:00 0 74 103.628492 2.342319e+00 \n", - "2016-02-23 20:00:00-07:00 0 92 0.000000 0.000000e+00 \n", - "2016-02-23 23:00:00-07:00 0 96 0.000000 0.000000e+00 \n", - "2016-02-24 02:00:00-07:00 0 98 0.000000 0.000000e+00 \n", - "2016-02-24 05:00:00-07:00 0 99 0.000000 0.000000e+00 \n", - "2016-02-24 08:00:00-07:00 0 99 85.841180 1.559579e-07 \n", - "2016-02-24 11:00:00-07:00 0 97 275.320629 4.935715e+00 \n", - "2016-02-24 14:00:00-07:00 0 92 279.388026 2.374437e+01 \n", - "2016-02-24 17:00:00-07:00 0 92 105.138862 2.715937e-02 \n", - "2016-02-24 20:00:00-07:00 0 87 0.000000 0.000000e+00 \n", - "2016-02-24 23:00:00-07:00 0 83 0.000000 0.000000e+00 \n", + " dhi total_clouds low_clouds mid_clouds \\\n", + "2016-04-03 09:00:00-07:00 92.683744 0.0 0.0 0.0 \n", + "2016-04-03 12:00:00-07:00 100.748999 0.0 0.0 0.0 \n", + "2016-04-03 15:00:00-07:00 97.013280 0.0 0.0 0.0 \n", + "2016-04-03 18:00:00-07:00 52.436825 0.0 0.0 0.0 \n", + "2016-04-03 21:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 00:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 03:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 06:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 09:00:00-07:00 92.832874 0.0 0.0 0.0 \n", + "2016-04-04 12:00:00-07:00 100.802616 0.0 0.0 0.0 \n", + "2016-04-04 15:00:00-07:00 97.075358 0.0 0.0 0.0 \n", + "2016-04-04 18:00:00-07:00 52.981062 0.0 0.0 0.0 \n", + "2016-04-04 21:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-05 00:00:00-07:00 0.000000 2.0 0.0 0.0 \n", + "2016-04-05 03:00:00-07:00 0.000000 43.0 0.0 0.0 \n", + "2016-04-05 06:00:00-07:00 0.000000 38.0 0.0 0.0 \n", + "2016-04-05 09:00:00-07:00 176.387467 39.0 0.0 0.0 \n", + "2016-04-05 12:00:00-07:00 213.796366 39.0 0.0 0.0 \n", + "2016-04-05 15:00:00-07:00 275.059152 81.0 0.0 0.0 \n", + "2016-04-05 18:00:00-07:00 64.652411 91.0 0.0 0.0 \n", + "2016-04-05 21:00:00-07:00 0.000000 98.0 0.0 0.0 \n", + "2016-04-06 00:00:00-07:00 0.000000 94.0 0.0 0.0 \n", + "2016-04-06 03:00:00-07:00 0.000000 99.0 0.0 0.0 \n", + "2016-04-06 06:00:00-07:00 0.000000 99.0 0.0 0.0 \n", + "2016-04-06 09:00:00-07:00 240.642933 100.0 0.0 0.0 \n", + "2016-04-06 12:00:00-07:00 343.112999 88.0 0.0 0.0 \n", + "2016-04-06 15:00:00-07:00 264.959305 74.0 0.0 0.0 \n", + "2016-04-06 18:00:00-07:00 65.619543 81.0 0.0 0.0 \n", + "2016-04-06 21:00:00-07:00 0.000000 84.0 0.0 0.0 \n", + "2016-04-07 00:00:00-07:00 0.000000 91.0 0.0 0.0 \n", + "2016-04-07 03:00:00-07:00 0.000000 97.0 0.0 0.0 \n", + "2016-04-07 06:00:00-07:00 0.000000 98.0 0.0 0.0 \n", + "2016-04-07 09:00:00-07:00 242.216650 100.0 0.0 47.0 \n", + "2016-04-07 12:00:00-07:00 369.583646 100.0 0.0 65.0 \n", + "2016-04-07 15:00:00-07:00 296.593964 100.0 0.0 63.0 \n", + "2016-04-07 18:00:00-07:00 66.584154 100.0 0.0 81.0 \n", + "2016-04-07 21:00:00-07:00 0.000000 95.0 0.0 90.0 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0.000000 0.0 0.0 0.0 \n", + "2016-04-10 06:00:00-07:00 0.000000 0.0 0.0 0.0 \n", "\n", - " ghi \n", - "2016-02-18 02:00:00-07:00 0.000000 \n", - "2016-02-18 05:00:00-07:00 0.000000 \n", - "2016-02-18 08:00:00-07:00 115.053768 \n", - "2016-02-18 11:00:00-07:00 663.238722 \n", - "2016-02-18 14:00:00-07:00 678.543892 \n", - "2016-02-18 17:00:00-07:00 108.420245 \n", - "2016-02-18 20:00:00-07:00 0.000000 \n", - "2016-02-18 23:00:00-07:00 0.000000 \n", - "2016-02-19 02:00:00-07:00 0.000000 \n", - "2016-02-19 05:00:00-07:00 0.000000 \n", - "2016-02-19 08:00:00-07:00 77.556209 \n", - "2016-02-19 11:00:00-07:00 296.375117 \n", - "2016-02-19 14:00:00-07:00 329.714581 \n", - "2016-02-19 17:00:00-07:00 99.340394 \n", - "2016-02-19 20:00:00-07:00 0.000000 \n", - "2016-02-19 23:00:00-07:00 0.000000 \n", - "2016-02-20 02:00:00-07:00 0.000000 \n", - "2016-02-20 05:00:00-07:00 0.000000 \n", - "2016-02-20 08:00:00-07:00 82.162429 \n", - "2016-02-20 11:00:00-07:00 541.435031 \n", - "2016-02-20 14:00:00-07:00 701.538997 \n", - "2016-02-20 17:00:00-07:00 135.598053 \n", - "2016-02-20 20:00:00-07:00 0.000000 \n", - "2016-02-20 23:00:00-07:00 0.000000 \n", - "2016-02-21 02:00:00-07:00 0.000000 \n", - "2016-02-21 05:00:00-07:00 0.000000 \n", - "2016-02-21 08:00:00-07:00 126.092093 \n", - "2016-02-21 11:00:00-07:00 680.097625 \n", - "2016-02-21 14:00:00-07:00 706.837239 \n", - "2016-02-21 17:00:00-07:00 175.836249 \n", - "2016-02-21 20:00:00-07:00 0.000000 \n", - "2016-02-21 23:00:00-07:00 0.000000 \n", - "2016-02-22 02:00:00-07:00 0.000000 \n", - "2016-02-22 05:00:00-07:00 0.000000 \n", - "2016-02-22 08:00:00-07:00 129.960394 \n", - "2016-02-22 11:00:00-07:00 685.784413 \n", - "2016-02-22 14:00:00-07:00 712.125335 \n", - "2016-02-22 17:00:00-07:00 179.303854 \n", - "2016-02-22 20:00:00-07:00 0.000000 \n", - "2016-02-22 23:00:00-07:00 0.000000 \n", - "2016-02-23 02:00:00-07:00 0.000000 \n", - "2016-02-23 05:00:00-07:00 0.000000 \n", - "2016-02-23 08:00:00-07:00 133.920202 \n", - "2016-02-23 11:00:00-07:00 613.268135 \n", - "2016-02-23 14:00:00-07:00 381.593191 \n", - "2016-02-23 17:00:00-07:00 104.221391 \n", - "2016-02-23 20:00:00-07:00 0.000000 \n", - "2016-02-23 23:00:00-07:00 0.000000 \n", - "2016-02-24 02:00:00-07:00 0.000000 \n", - "2016-02-24 05:00:00-07:00 0.000000 \n", - "2016-02-24 08:00:00-07:00 85.841180 \n", - "2016-02-24 11:00:00-07:00 278.646228 \n", - "2016-02-24 14:00:00-07:00 295.850254 \n", - "2016-02-24 17:00:00-07:00 105.145825 \n", - "2016-02-24 20:00:00-07:00 0.000000 \n", - "2016-02-24 23:00:00-07:00 0.000000 " + " high_clouds \n", + "2016-04-03 09:00:00-07:00 0.0 \n", + "2016-04-03 12:00:00-07:00 0.0 \n", + "2016-04-03 15:00:00-07:00 0.0 \n", + "2016-04-03 18:00:00-07:00 0.0 \n", + "2016-04-03 21:00:00-07:00 0.0 \n", + "2016-04-04 00:00:00-07:00 0.0 \n", + "2016-04-04 03:00:00-07:00 0.0 \n", + "2016-04-04 06:00:00-07:00 0.0 \n", + "2016-04-04 09:00:00-07:00 0.0 \n", + "2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 0.0 \n", + "2016-04-04 18:00:00-07:00 0.0 \n", + "2016-04-04 21:00:00-07:00 0.0 \n", + "2016-04-05 00:00:00-07:00 2.0 \n", + "2016-04-05 03:00:00-07:00 43.0 \n", + "2016-04-05 06:00:00-07:00 38.0 \n", + "2016-04-05 09:00:00-07:00 39.0 \n", + "2016-04-05 12:00:00-07:00 39.0 \n", + "2016-04-05 15:00:00-07:00 81.0 \n", + "2016-04-05 18:00:00-07:00 91.0 \n", + "2016-04-05 21:00:00-07:00 98.0 \n", + "2016-04-06 00:00:00-07:00 94.0 \n", + "2016-04-06 03:00:00-07:00 99.0 \n", + "2016-04-06 06:00:00-07:00 99.0 \n", + "2016-04-06 09:00:00-07:00 100.0 \n", + "2016-04-06 12:00:00-07:00 88.0 \n", + "2016-04-06 15:00:00-07:00 74.0 \n", + "2016-04-06 18:00:00-07:00 81.0 \n", + "2016-04-06 21:00:00-07:00 84.0 \n", + "2016-04-07 00:00:00-07:00 91.0 \n", + "2016-04-07 03:00:00-07:00 97.0 \n", + "2016-04-07 06:00:00-07:00 98.0 \n", + "2016-04-07 09:00:00-07:00 100.0 \n", + "2016-04-07 12:00:00-07:00 100.0 \n", + "2016-04-07 15:00:00-07:00 100.0 \n", + "2016-04-07 18:00:00-07:00 100.0 \n", + "2016-04-07 21:00:00-07:00 93.0 \n", + "2016-04-08 00:00:00-07:00 96.0 \n", + "2016-04-08 03:00:00-07:00 2.0 \n", + "2016-04-08 06:00:00-07:00 49.0 \n", + "2016-04-08 09:00:00-07:00 85.0 \n", + "2016-04-08 12:00:00-07:00 63.0 \n", + "2016-04-08 15:00:00-07:00 94.0 \n", + "2016-04-08 18:00:00-07:00 55.0 \n", + "2016-04-08 21:00:00-07:00 1.0 \n", + "2016-04-09 00:00:00-07:00 10.0 \n", + "2016-04-09 03:00:00-07:00 28.0 \n", + "2016-04-09 06:00:00-07:00 15.0 \n", + "2016-04-09 09:00:00-07:00 0.0 \n", + "2016-04-09 12:00:00-07:00 0.0 \n", + "2016-04-09 15:00:00-07:00 0.0 \n", + "2016-04-09 18:00:00-07:00 0.0 \n", + "2016-04-09 21:00:00-07:00 0.0 \n", + "2016-04-10 00:00:00-07:00 0.0 \n", + "2016-04-10 03:00:00-07:00 0.0 \n", + "2016-04-10 06:00:00-07:00 0.0 " ] }, - "execution_count": 13, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1216,7 +3603,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 18, "metadata": { "collapsed": false }, @@ -1227,19 +3614,19 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, start, end)" + "data = fm.get_processed_data(latitude, longitude, start, end)" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 20, "metadata": { "collapsed": false, "scrolled": false @@ -1248,18 +3635,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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8HtDrST/3PLIuvRx9cnKHjqfodKSeeRbJo8dg/78PqH3vXZo2b4KtW5h15gQW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8DMP6N7366qvZZ599OOKII3jttdcAuOSSS/jud7/Lfvvtx2WXXUY0GmX33XfP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BBC7EOBESGELIKZPDDye4Hw2//vW/HGGxUwmL5svADMdcrbGzgDJIJQAbz4Lydx4P99yduFtaFU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\n06cPZ86cw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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1277,7 +3664,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 21, "metadata": { "collapsed": false }, @@ -1285,18 +3672,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 17, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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ewTppIqK0UDTXsUPU4Z4flnbQpXIDhPTVZUYhCkIuK22x87ZgIP2Xf/mXOHny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mZhgyo2ple0ki0pGNA2wLZbAjaoDNYMWpzo9noABY3haA5DL/P0sedKT5MEuJ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\nbl1uzg6MG9wGJ0c79p24zDf7061dUp1wKbeEy7kluDnb0yx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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1311,7 +3698,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 22, "metadata": { "collapsed": false }, @@ -1326,509 +3713,509 @@ " \n", " temperature\n", " wind_speed\n", + " ghi\n", + " dni\n", + " dhi\n", " total_clouds\n", " low_clouds\n", " mid_clouds\n", " high_clouds\n", - " dhi\n", - " dni\n", - " ghi\n", " \n", " \n", " \n", " \n", - " 2016-02-18 02:00:00-07:00\n", - " 9.255585\n", - " 4.392399\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", - " \n", - " \n", - " 2016-02-18 05:00:00-07:00\n", - " 6.757660\n", - " 2.515406\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", - " \n", - " \n", - " 2016-02-18 08:00:00-07:00\n", - " 8.902466\n", - " 4.108572\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 59.221272\n", - " 301.390004\n", - " 115.053768\n", + " 2016-04-03 09:00:00-07:00\n", + " 7.249023\n", + " 3.827341\n", + " 569.712283\n", + " 829.668309\n", + " 92.683744\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 11:00:00-07:00\n", - " 30.105804\n", - " 5.105513\n", - " 10\n", - " 0\n", - " 8\n", - " 4\n", - " 120.703367\n", - " 745.701147\n", - " 603.609133\n", + " 2016-04-03 12:00:00-07:00\n", + " 3.680328\n", + " 2.305870\n", + " 980.540706\n", + " 989.349943\n", + " 100.748999\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 14:00:00-07:00\n", - " 34.611176\n", - " 6.361901\n", - " 86\n", - " 0\n", - " 86\n", - " 28\n", - " 264.841808\n", - " 47.256142\n", - " 296.452492\n", + " 2016-04-03 15:00:00-07:00\n", + " 15.852753\n", + " 3.704706\n", + " 749.436252\n", + " 913.979997\n", + " 97.013280\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 17:00:00-07:00\n", - " 27.297424\n", - " 5.478108\n", - " 92\n", - " 0\n", - " 90\n", - " 22\n", - " 97.018802\n", - " 0.011307\n", - " 97.021477\n", + " 2016-04-03 18:00:00-07:00\n", + " 34.172302\n", + " 2.074841\n", + " 86.669267\n", + " 223.879685\n", + " 52.436825\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 20:00:00-07:00\n", - " 18.592285\n", - " 2.897233\n", - " 86\n", - " 0\n", - " 86\n", - " 0\n", + " 2016-04-03 21:00:00-07:00\n", + " 37.600037\n", + " 1.148434\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 23:00:00-07:00\n", - " 15.308075\n", - " 3.443801\n", - " 100\n", - " 0\n", - " 100\n", - " 100\n", + " 2016-04-04 00:00:00-07:00\n", + " 30.440277\n", + " 1.059563\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-19 02:00:00-07:00\n", - " 13.960327\n", - " 3.564613\n", - " 98\n", - " 0\n", - " 64\n", - " 96\n", + " 2016-04-04 03:00:00-07:00\n", + " 15.279449\n", + " 1.507930\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-19 05:00:00-07:00\n", - " 12.385834\n", - " 3.473563\n", - " 100\n", - " 0\n", - " 54\n", - " 100\n", + " 2016-04-04 06:00:00-07:00\n", + " 10.932709\n", + " 1.808350\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-19 08:00:00-07:00\n", - " 11.786652\n", - " 3.041551\n", - " 48\n", - " 0\n", - " 0\n", - " 48\n", - " 76.949815\n", - " 10.668777\n", - " 78.967415\n", + " 2016-04-04 09:00:00-07:00\n", + " 8.408173\n", + " 2.475026\n", + " 574.824061\n", + " 832.516507\n", + " 92.832874\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-19 11:00:00-07:00\n", - " 29.097809\n", - " 4.729281\n", - " 100\n", - " 0\n", - " 2\n", - " 100\n", - " 267.341836\n", - " 0.000000\n", - " 267.341836\n", + " 2016-04-04 12:00:00-07:00\n", + " 6.298248\n", + " 2.828518\n", + " 984.610605\n", + " 990.448411\n", + " 100.802616\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-19 14:00:00-07:00\n", - " 33.026215\n", - " 4.492231\n", - " 100\n", - " 0\n", - " 0\n", - " 100\n", - " 276.000913\n", - " 0.000000\n", - " 276.000913\n", + " 2016-04-04 15:00:00-07:00\n", + " 18.297455\n", + " 3.101655\n", + " 752.580636\n", + " 915.212999\n", + " 97.075358\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-19 17:00:00-07:00\n", - " 26.681488\n", - " 3.634320\n", - " 100\n", - " 0\n", - " 0\n", - " 100\n", - " 98.391353\n", - " 0.000000\n", - " 98.391353\n", + " 2016-04-04 18:00:00-07:00\n", + " 37.505920\n", + " 1.785299\n", + " 88.648335\n", + " 229.693203\n", + " 52.981062\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-19 20:00:00-07:00\n", - " 16.847687\n", - " 4.886004\n", - " 100\n", - " 0\n", - " 16\n", - " 100\n", + " 2016-04-04 21:00:00-07:00\n", + " 40.119904\n", + " 1.804522\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-19 23:00:00-07:00\n", - " 14.202087\n", - " 2.689680\n", - " 100\n", - " 0\n", - " 0\n", - " 100\n", + " 2016-04-05 00:00:00-07:00\n", + " 32.622101\n", + " 1.862586\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-20 02:00:00-07:00\n", - " 12.269684\n", - " 2.491931\n", - " 100\n", - " 0\n", - " 0\n", - " 100\n", + " 2016-04-05 03:00:00-07:00\n", + " 17.377380\n", + " 3.645859\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 100.0\n", + " 0.0\n", + " 0.0\n", + " 100.0\n", " \n", " \n", - " 2016-02-20 05:00:00-07:00\n", - " 8.825684\n", - " 2.815458\n", - " 20\n", - " 0\n", - " 0\n", - " 20\n", + " 2016-04-05 06:00:00-07:00\n", + " 13.503204\n", + " 1.892987\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 6.0\n", + " 0.0\n", + " 0.0\n", + " 6.0\n", " \n", " \n", - " 2016-02-20 08:00:00-07:00\n", - " 11.256012\n", - " 2.849740\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 60.671013\n", - " 319.347225\n", - " 122.317136\n", + " 2016-04-05 09:00:00-07:00\n", + " 12.885498\n", + " 2.041240\n", + " 241.804223\n", + " 6.756694\n", + " 237.865746\n", + " 94.0\n", + " 0.0\n", + " 78.0\n", + " 92.0\n", " \n", " \n", - " 2016-02-20 11:00:00-07:00\n", - " 29.721649\n", - " 0.972782\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 95.409703\n", - " 882.363692\n", - " 674.442242\n", + " 2016-04-05 12:00:00-07:00\n", + " 7.649994\n", + " 2.070144\n", + " 947.134436\n", + " 925.347866\n", + " 118.629251\n", + " 6.0\n", + " 0.0\n", + " 0.0\n", + " 6.0\n", " \n", " \n", - " 2016-02-20 14:00:00-07:00\n", - " 33.998627\n", - " 2.179331\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 96.017849\n", - " 894.300691\n", - " 701.538997\n", + " 2016-04-05 15:00:00-07:00\n", + " 20.006897\n", + " 1.689175\n", + " 755.676166\n", + " 916.420105\n", + " 97.136099\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " 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- " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2016-04-06 03:00:00-07:00\n", + " 17.367859\n", + " 3.197380\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 64.0\n", + " 0.0\n", + " 0.0\n", + " 64.0\n", " \n", " \n", - " 2016-02-21 05:00:00-07:00\n", - " 7.275787\n", - " 3.441240\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2016-04-06 06:00:00-07:00\n", + " 13.145416\n", + " 1.994072\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 78.0\n", + " 0.0\n", + " 0.0\n", + " 78.0\n", + " \n", + " \n", + " 2016-04-06 09:00:00-07:00\n", + " 11.015656\n", + " 2.358184\n", + " 353.823204\n", + " 275.542977\n", + " 192.137103\n", + " 48.0\n", + " 0.0\n", + " 0.0\n", + " 48.0\n", + " \n", + " \n", + " 2016-04-06 12:00:00-07:00\n", + " 8.777618\n", + " 2.788645\n", + " 593.572659\n", + " 358.102413\n", + " 271.888475\n", + " 60.0\n", + " 0.0\n", + " 0.0\n", + " 60.0\n", " \n", " \n", - " 2016-02-21 08:00:00-07:00\n", - " 9.876617\n", - " 2.717830\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 61.388133\n", - " 328.407390\n", - " 126.092093\n", + " 2016-04-06 15:00:00-07:00\n", + " 20.798737\n", + " 2.361150\n", + " 492.829089\n", + " 390.715694\n", + " 211.150063\n", + " 46.0\n", + " 0.0\n", + " 0.0\n", + " 46.0\n", " \n", " \n", - " 2016-02-21 11:00:00-07:00\n", - " 29.703888\n", - " 1.298350\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 95.539521\n", - " 884.906336\n", - " 680.097625\n", + " 2016-04-06 18:00:00-07:00\n", + " 38.546722\n", + " 3.455117\n", + " 75.062277\n", + " 84.300277\n", + " 61.573398\n", + " 16.0\n", + " 0.0\n", + " 0.0\n", + " 16.0\n", " \n", " \n", - " 2016-02-21 14:00:00-07:00\n", - " 34.316132\n", - " 2.881477\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 96.132785\n", - " 896.564050\n", - " 706.837239\n", + " 2016-04-06 21:00:00-07:00\n", + " 42.181366\n", + " 3.638643\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 98.0\n", + " 0.0\n", + " 0.0\n", + " 98.0\n", " \n", " \n", - " 2016-02-21 17:00:00-07:00\n", - " 26.693787\n", - " 6.296557\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 69.089813\n", - " 432.945232\n", - " 175.836249\n", + " 2016-04-07 00:00:00-07:00\n", + " 35.623810\n", + " 2.817984\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 8.0\n", + " 0.0\n", + " 0.0\n", + " 8.0\n", " \n", " \n", - " 2016-02-21 20:00:00-07:00\n", - " 14.768036\n", - " 5.601410\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2016-04-07 03:00:00-07:00\n", + " 20.054108\n", + " 1.495072\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 94.0\n", + " 0.0\n", + " 0.0\n", + " 94.0\n", " \n", " \n", - " 2016-02-21 23:00:00-07:00\n", - " 10.335358\n", - " 2.204649\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2016-04-07 06:00:00-07:00\n", + " 17.367279\n", + " 4.631991\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 92.0\n", + " 0.0\n", + " 0.0\n", + " 92.0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " temperature wind_speed total_clouds low_clouds \\\n", - "2016-02-18 02:00:00-07:00 9.255585 4.392399 0 0 \n", - "2016-02-18 05:00:00-07:00 6.757660 2.515406 0 0 \n", - "2016-02-18 08:00:00-07:00 8.902466 4.108572 0 0 \n", - "2016-02-18 11:00:00-07:00 30.105804 5.105513 10 0 \n", - "2016-02-18 14:00:00-07:00 34.611176 6.361901 86 0 \n", - "2016-02-18 17:00:00-07:00 27.297424 5.478108 92 0 \n", - "2016-02-18 20:00:00-07:00 18.592285 2.897233 86 0 \n", - "2016-02-18 23:00:00-07:00 15.308075 3.443801 100 0 \n", - "2016-02-19 02:00:00-07:00 13.960327 3.564613 98 0 \n", - "2016-02-19 05:00:00-07:00 12.385834 3.473563 100 0 \n", - "2016-02-19 08:00:00-07:00 11.786652 3.041551 48 0 \n", - "2016-02-19 11:00:00-07:00 29.097809 4.729281 100 0 \n", - "2016-02-19 14:00:00-07:00 33.026215 4.492231 100 0 \n", - "2016-02-19 17:00:00-07:00 26.681488 3.634320 100 0 \n", - "2016-02-19 20:00:00-07:00 16.847687 4.886004 100 0 \n", - "2016-02-19 23:00:00-07:00 14.202087 2.689680 100 0 \n", - "2016-02-20 02:00:00-07:00 12.269684 2.491931 100 0 \n", - "2016-02-20 05:00:00-07:00 8.825684 2.815458 20 0 \n", - "2016-02-20 08:00:00-07:00 11.256012 2.849740 0 0 \n", - "2016-02-20 11:00:00-07:00 29.721649 0.972782 0 0 \n", - "2016-02-20 14:00:00-07:00 33.998627 2.179331 0 0 \n", - "2016-02-20 17:00:00-07:00 26.461578 4.691223 16 0 \n", - "2016-02-20 20:00:00-07:00 16.523529 5.133298 12 0 \n", - "2016-02-20 23:00:00-07:00 11.660370 2.387149 0 0 \n", - "2016-02-21 02:00:00-07:00 9.041229 2.888521 0 0 \n", - "2016-02-21 05:00:00-07:00 7.275787 3.441240 0 0 \n", - "2016-02-21 08:00:00-07:00 9.876617 2.717830 0 0 \n", - "2016-02-21 11:00:00-07:00 29.703888 1.298350 0 0 \n", - "2016-02-21 14:00:00-07:00 34.316132 2.881477 0 0 \n", - "2016-02-21 17:00:00-07:00 26.693787 6.296557 0 0 \n", - "2016-02-21 20:00:00-07:00 14.768036 5.601410 0 0 \n", - "2016-02-21 23:00:00-07:00 10.335358 2.204649 0 0 \n", + " temperature wind_speed ghi dni \\\n", + "2016-04-03 09:00:00-07:00 7.249023 3.827341 569.712283 829.668309 \n", + "2016-04-03 12:00:00-07:00 3.680328 2.305870 980.540706 989.349943 \n", + "2016-04-03 15:00:00-07:00 15.852753 3.704706 749.436252 913.979997 \n", + "2016-04-03 18:00:00-07:00 34.172302 2.074841 86.669267 223.879685 \n", + "2016-04-03 21:00:00-07:00 37.600037 1.148434 0.000000 0.000000 \n", + "2016-04-04 00:00:00-07:00 30.440277 1.059563 0.000000 0.000000 \n", + "2016-04-04 03:00:00-07:00 15.279449 1.507930 0.000000 0.000000 \n", + "2016-04-04 06:00:00-07:00 10.932709 1.808350 0.000000 0.000000 \n", + "2016-04-04 09:00:00-07:00 8.408173 2.475026 574.824061 832.516507 \n", + "2016-04-04 12:00:00-07:00 6.298248 2.828518 984.610605 990.448411 \n", + "2016-04-04 15:00:00-07:00 18.297455 3.101655 752.580636 915.212999 \n", + "2016-04-04 18:00:00-07:00 37.505920 1.785299 88.648335 229.693203 \n", + "2016-04-04 21:00:00-07:00 40.119904 1.804522 0.000000 0.000000 \n", + "2016-04-05 00:00:00-07:00 32.622101 1.862586 0.000000 0.000000 \n", + "2016-04-05 03:00:00-07:00 17.377380 3.645859 0.000000 0.000000 \n", + "2016-04-05 06:00:00-07:00 13.503204 1.892987 0.000000 0.000000 \n", + "2016-04-05 09:00:00-07:00 12.885498 2.041240 241.804223 6.756694 \n", + "2016-04-05 12:00:00-07:00 7.649994 2.070144 947.134436 925.347866 \n", + "2016-04-05 15:00:00-07:00 20.006897 1.689175 755.676166 916.420105 \n", + "2016-04-05 18:00:00-07:00 37.063019 0.935801 90.638153 235.473489 \n", + "2016-04-05 21:00:00-07:00 39.047424 2.664309 0.000000 0.000000 \n", + "2016-04-06 00:00:00-07:00 31.166168 3.671085 0.000000 0.000000 \n", + "2016-04-06 03:00:00-07:00 17.367859 3.197380 0.000000 0.000000 \n", + "2016-04-06 06:00:00-07:00 13.145416 1.994072 0.000000 0.000000 \n", + "2016-04-06 09:00:00-07:00 11.015656 2.358184 353.823204 275.542977 \n", + "2016-04-06 12:00:00-07:00 8.777618 2.788645 593.572659 358.102413 \n", + "2016-04-06 15:00:00-07:00 20.798737 2.361150 492.829089 390.715694 \n", + "2016-04-06 18:00:00-07:00 38.546722 3.455117 75.062277 84.300277 \n", + "2016-04-06 21:00:00-07:00 42.181366 3.638643 0.000000 0.000000 \n", + "2016-04-07 00:00:00-07:00 35.623810 2.817984 0.000000 0.000000 \n", + "2016-04-07 03:00:00-07:00 20.054108 1.495072 0.000000 0.000000 \n", + "2016-04-07 06:00:00-07:00 17.367279 4.631991 0.000000 0.000000 \n", "\n", - " mid_clouds high_clouds dhi dni \\\n", - "2016-02-18 02:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 05:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 08:00:00-07:00 0 0 59.221272 301.390004 \n", - "2016-02-18 11:00:00-07:00 8 4 120.703367 745.701147 \n", - "2016-02-18 14:00:00-07:00 86 28 264.841808 47.256142 \n", - "2016-02-18 17:00:00-07:00 90 22 97.018802 0.011307 \n", - "2016-02-18 20:00:00-07:00 86 0 0.000000 0.000000 \n", - "2016-02-18 23:00:00-07:00 100 100 0.000000 0.000000 \n", - "2016-02-19 02:00:00-07:00 64 96 0.000000 0.000000 \n", - "2016-02-19 05:00:00-07:00 54 100 0.000000 0.000000 \n", - "2016-02-19 08:00:00-07:00 0 48 76.949815 10.668777 \n", - "2016-02-19 11:00:00-07:00 2 100 267.341836 0.000000 \n", - "2016-02-19 14:00:00-07:00 0 100 276.000913 0.000000 \n", - "2016-02-19 17:00:00-07:00 0 100 98.391353 0.000000 \n", - "2016-02-19 20:00:00-07:00 16 100 0.000000 0.000000 \n", - "2016-02-19 23:00:00-07:00 0 100 0.000000 0.000000 \n", - "2016-02-20 02:00:00-07:00 0 100 0.000000 0.000000 \n", - "2016-02-20 05:00:00-07:00 0 20 0.000000 0.000000 \n", - "2016-02-20 08:00:00-07:00 0 0 60.671013 319.347225 \n", - "2016-02-20 11:00:00-07:00 0 0 95.409703 882.363692 \n", - "2016-02-20 14:00:00-07:00 0 0 96.017849 894.300691 \n", - "2016-02-20 17:00:00-07:00 0 16 84.395338 210.495623 \n", - "2016-02-20 20:00:00-07:00 0 12 0.000000 0.000000 \n", - "2016-02-20 23:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-21 02:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-21 05:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-21 08:00:00-07:00 0 0 61.388133 328.407390 \n", - "2016-02-21 11:00:00-07:00 0 0 95.539521 884.906336 \n", - "2016-02-21 14:00:00-07:00 0 0 96.132785 896.564050 \n", - "2016-02-21 17:00:00-07:00 0 0 69.089813 432.945232 \n", - "2016-02-21 20:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-21 23:00:00-07:00 0 0 0.000000 0.000000 \n", + " dhi total_clouds low_clouds mid_clouds \\\n", + "2016-04-03 09:00:00-07:00 92.683744 0.0 0.0 0.0 \n", + "2016-04-03 12:00:00-07:00 100.748999 0.0 0.0 0.0 \n", + "2016-04-03 15:00:00-07:00 97.013280 0.0 0.0 0.0 \n", + "2016-04-03 18:00:00-07:00 52.436825 0.0 0.0 0.0 \n", + "2016-04-03 21:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 00:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 03:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 06:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 09:00:00-07:00 92.832874 0.0 0.0 0.0 \n", + "2016-04-04 12:00:00-07:00 100.802616 0.0 0.0 0.0 \n", + "2016-04-04 15:00:00-07:00 97.075358 0.0 0.0 0.0 \n", + "2016-04-04 18:00:00-07:00 52.981062 0.0 0.0 0.0 \n", + "2016-04-04 21:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-05 00:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-05 03:00:00-07:00 0.000000 100.0 0.0 0.0 \n", + "2016-04-05 06:00:00-07:00 0.000000 6.0 0.0 0.0 \n", + "2016-04-05 09:00:00-07:00 237.865746 94.0 0.0 78.0 \n", + "2016-04-05 12:00:00-07:00 118.629251 6.0 0.0 0.0 \n", + "2016-04-05 15:00:00-07:00 97.136099 0.0 0.0 0.0 \n", + "2016-04-05 18:00:00-07:00 53.515671 0.0 0.0 0.0 \n", + "2016-04-05 21:00:00-07:00 0.000000 48.0 0.0 0.0 \n", + "2016-04-06 00:00:00-07:00 0.000000 8.0 0.0 0.0 \n", + "2016-04-06 03:00:00-07:00 0.000000 64.0 0.0 0.0 \n", + "2016-04-06 06:00:00-07:00 0.000000 78.0 0.0 0.0 \n", + "2016-04-06 09:00:00-07:00 192.137103 48.0 0.0 0.0 \n", + "2016-04-06 12:00:00-07:00 271.888475 60.0 0.0 0.0 \n", + "2016-04-06 15:00:00-07:00 211.150063 46.0 0.0 0.0 \n", + "2016-04-06 18:00:00-07:00 61.573398 16.0 0.0 0.0 \n", + "2016-04-06 21:00:00-07:00 0.000000 98.0 0.0 0.0 \n", + "2016-04-07 00:00:00-07:00 0.000000 8.0 0.0 0.0 \n", + "2016-04-07 03:00:00-07:00 0.000000 94.0 0.0 0.0 \n", + "2016-04-07 06:00:00-07:00 0.000000 92.0 0.0 0.0 \n", "\n", - " ghi \n", - "2016-02-18 02:00:00-07:00 0.000000 \n", - "2016-02-18 05:00:00-07:00 0.000000 \n", - "2016-02-18 08:00:00-07:00 115.053768 \n", - "2016-02-18 11:00:00-07:00 603.609133 \n", - "2016-02-18 14:00:00-07:00 296.452492 \n", - "2016-02-18 17:00:00-07:00 97.021477 \n", - "2016-02-18 20:00:00-07:00 0.000000 \n", - "2016-02-18 23:00:00-07:00 0.000000 \n", - "2016-02-19 02:00:00-07:00 0.000000 \n", - "2016-02-19 05:00:00-07:00 0.000000 \n", - "2016-02-19 08:00:00-07:00 78.967415 \n", - "2016-02-19 11:00:00-07:00 267.341836 \n", - "2016-02-19 14:00:00-07:00 276.000913 \n", - "2016-02-19 17:00:00-07:00 98.391353 \n", - "2016-02-19 20:00:00-07:00 0.000000 \n", - "2016-02-19 23:00:00-07:00 0.000000 \n", - "2016-02-20 02:00:00-07:00 0.000000 \n", - "2016-02-20 05:00:00-07:00 0.000000 \n", - "2016-02-20 08:00:00-07:00 122.317136 \n", - "2016-02-20 11:00:00-07:00 674.442242 \n", - "2016-02-20 14:00:00-07:00 701.538997 \n", - "2016-02-20 17:00:00-07:00 135.598053 \n", - "2016-02-20 20:00:00-07:00 0.000000 \n", - "2016-02-20 23:00:00-07:00 0.000000 \n", - "2016-02-21 02:00:00-07:00 0.000000 \n", - "2016-02-21 05:00:00-07:00 0.000000 \n", - "2016-02-21 08:00:00-07:00 126.092093 \n", - "2016-02-21 11:00:00-07:00 680.097625 \n", - "2016-02-21 14:00:00-07:00 706.837239 \n", - "2016-02-21 17:00:00-07:00 175.836249 \n", - "2016-02-21 20:00:00-07:00 0.000000 \n", - "2016-02-21 23:00:00-07:00 0.000000 " + " high_clouds \n", + "2016-04-03 09:00:00-07:00 0.0 \n", + "2016-04-03 12:00:00-07:00 0.0 \n", + "2016-04-03 15:00:00-07:00 0.0 \n", + "2016-04-03 18:00:00-07:00 0.0 \n", + "2016-04-03 21:00:00-07:00 0.0 \n", + "2016-04-04 00:00:00-07:00 0.0 \n", + "2016-04-04 03:00:00-07:00 0.0 \n", + "2016-04-04 06:00:00-07:00 0.0 \n", + "2016-04-04 09:00:00-07:00 0.0 \n", + "2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 0.0 \n", + "2016-04-04 18:00:00-07:00 0.0 \n", + "2016-04-04 21:00:00-07:00 0.0 \n", + "2016-04-05 00:00:00-07:00 0.0 \n", + "2016-04-05 03:00:00-07:00 100.0 \n", + "2016-04-05 06:00:00-07:00 6.0 \n", + "2016-04-05 09:00:00-07:00 92.0 \n", + "2016-04-05 12:00:00-07:00 6.0 \n", + "2016-04-05 15:00:00-07:00 0.0 \n", + "2016-04-05 18:00:00-07:00 0.0 \n", + "2016-04-05 21:00:00-07:00 48.0 \n", + "2016-04-06 00:00:00-07:00 8.0 \n", + "2016-04-06 03:00:00-07:00 64.0 \n", + "2016-04-06 06:00:00-07:00 78.0 \n", + "2016-04-06 09:00:00-07:00 48.0 \n", + "2016-04-06 12:00:00-07:00 60.0 \n", + "2016-04-06 15:00:00-07:00 46.0 \n", + "2016-04-06 18:00:00-07:00 16.0 \n", + "2016-04-06 21:00:00-07:00 98.0 \n", + "2016-04-07 00:00:00-07:00 8.0 \n", + "2016-04-07 03:00:00-07:00 94.0 \n", + "2016-04-07 06:00:00-07:00 92.0 " ] }, - "execution_count": 18, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1848,9 +4235,9 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 23, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ @@ -1859,19 +4246,19 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 24, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, start, end)" + "data = fm.get_processed_data(latitude, longitude, start, end)" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 25, "metadata": { "collapsed": true }, @@ -1884,7 +4271,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 26, "metadata": { "collapsed": false }, @@ -1895,15 +4282,15 @@ "(0, 100)" ] }, - "execution_count": 22, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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GrcQiT/C2Fy4qOLevbj0V3HWvFBcXglDA74V8ifDZs2fLMAx98cUX2rRpk4YN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\nrZRSSiml1ARoIq2UUkoppdQE/AvG8ziDmKZF8QAAAABJRU5ErkJggg==\n", 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wuBhUJgRpAEClxkRDSL8N74ieP0dyuSyuBpUFQRoAUKk5jgZpxkdXbd4LLpS75YWyZWUp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\nsOMBAABUNmETpHNzc5WYmFj62OFwyOf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3Nzeeeuopzp8/3+Zv/eE1QK7a8R/tLw/VqqSk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\nYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1912,7 +4299,7 @@ ], "source": [ "total_cloud_cover.plot(color='r', linewidth=2)\n", - "plt.ylabel('Total cloud cover' + ' (%s)' % fm.var_units['total_clouds'])\n", + "plt.ylabel('Total cloud cover' + ' (%s)' % fm.units['total_clouds'])\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", "plt.title('NDFD')\n", "plt.ylim(0,100)" @@ -1920,7 +4307,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 27, "metadata": { "collapsed": false }, @@ -1928,18 +4315,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 23, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Ok/DUoiGJzhktmo8xnCTxqGiWmHEvXYIVChFq2w47u4bpOEnLrl+f0PHdsIJB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\nJkygTZs2lCpVikuXLmGxWFSO+s5oMWetjnGt5g3aHOegzby1OM61mHM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m2v0laU6ykDNq7uRxoOtpuWemjp3TNm0EwOzZy+VIDnTAVsAM+MHaMKPZ/aQ5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\nqlVVqBXl2FlZ/vgeOJimER0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gj5NmNd4EGISTZhSF6NhGUzR8pOGk2eNvFo8geoI/J2gk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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1948,13 +4335,13 @@ ], "source": [ "temp.plot(color='r', linewidth=2)\n", - "plt.ylabel('Temperature' + ' (%s)' % fm.var_units['temperature'])\n", + "plt.ylabel('Temperature' + ' (%s)' % fm.units['temperature'])\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')') " ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 28, "metadata": { "collapsed": false, "scrolled": false @@ -1963,18 +4350,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 24, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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rMhr5NUMuJR89CoDbK0Tyd+4CAFD2sxeyXcS+/gpiPv7Q+AuH+L3tHTAIJS+9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\nLCJ10umuyACQnJzMpEmTWLx4MU6nkxkzZhAREfGr7Z5++mkmTZrEq6+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RODd5y8z4LaVkzpeSigyjhN72FcUrb08tYzGswUNQLAtt29awo/FNZNmH6Rcn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\nIiIiIrL5/5Szsy1ZG4DuAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1983,13 +4370,13 @@ ], "source": [ "wind.plot(color='r', linewidth=2)\n", - "plt.ylabel('Wind Speed' + ' (%s)' % fm.var_units['wind_speed'])\n", + "plt.ylabel('Wind Speed' + ' (%s)' % fm.units['wind_speed'])\n", "plt.xlabel('Forecast Time ('+str(data.index.tz)+')') " ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 29, "metadata": { "collapsed": false }, @@ -2004,869 +4391,698 @@ " \n", " temperature\n", " wind_speed\n", - " total_clouds\n", - " low_clouds\n", - " mid_clouds\n", - " high_clouds\n", - " dhi\n", - " dni\n", " ghi\n", + " dni\n", + " dhi\n", + " total_clouds\n", " \n", " \n", " \n", " \n", - " 2016-02-18 00:00:00-07:00\n", - " 15.050018\n", + " 2016-04-03 07:00:00-07:00\n", + " 13.950012\n", " 3.2\n", - " 8\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.000000\n", - " 0.000000e+00\n", - " 0.000000\n", + " 106.189110\n", + " 278.487427\n", + " 57.312551\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 01:00:00-07:00\n", - " 14.450012\n", + " 2016-04-03 08:00:00-07:00\n", + " 12.950012\n", " 3.2\n", - " 8\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.000000\n", - " 0.000000e+00\n", - " 0.000000\n", + " 334.661071\n", + " 651.734481\n", + " 82.893092\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 02:00:00-07:00\n", - " 13.450012\n", + " 2016-04-03 09:00:00-07:00\n", + " 12.250000\n", " 3.2\n", - " 8\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.000000\n", - " 0.000000e+00\n", - " 0.000000\n", + " 569.712283\n", + " 829.668309\n", + " 92.683744\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 03:00:00-07:00\n", - " 12.950012\n", + " 2016-04-03 10:00:00-07:00\n", + " 10.750000\n", " 3.2\n", - " 8\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.000000\n", - " 0.000000e+00\n", - " 0.000000\n", - " \n", - " \n", - " 2016-02-18 04:00:00-07:00\n", - " 12.350006\n", - " 4.0\n", - " 8\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.000000\n", - " 0.000000e+00\n", - " 0.000000\n", + " 768.177123\n", + " 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    79 rows × 6 columns

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21:00:00-07:00 0.000000 \n", - "2016-02-19 22:00:00-07:00 0.000000 \n", - "2016-02-19 23:00:00-07:00 0.000000 \n", - "2016-02-20 00:00:00-07:00 0.000000 \n", - "2016-02-20 01:00:00-07:00 0.000000 \n", - "2016-02-20 02:00:00-07:00 0.000000 \n", - "2016-02-20 05:00:00-07:00 0.000000 \n", - "2016-02-20 08:00:00-07:00 85.778835 \n", - "2016-02-20 11:00:00-07:00 602.791295 \n", - "2016-02-20 14:00:00-07:00 628.700065 \n", - "2016-02-20 17:00:00-07:00 156.274873 " + "[79 rows x 6 columns]" ] }, - "execution_count": 25, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2886,7 +5102,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 30, "metadata": { "collapsed": false }, @@ -2897,30 +5113,30 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 31, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, start, end)" + "data = fm.get_processed_data(latitude, longitude, start, end)" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 32, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds']" + "cloud_vars = ['total_clouds', 'high_clouds', 'mid_clouds', 'low_clouds']" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 33, "metadata": { "collapsed": false, "scrolled": true @@ -2929,18 +5145,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 29, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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FPaaewpGmBgzt8fbbb/PYY48F9Rpz5sxh+fLlHTrHNddcQ25ubidFdIgSIxER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\nzJkYDAYAI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KlCmKiIhwxXwAAAAAUCmUebW9sWPH6u9//7s2btyojIwM9e/fX2PGjHHFbAAA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\njTp27JimTJmigwcPauTIkdq/f7/+85/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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2958,7 +5174,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 34, "metadata": { "collapsed": false }, @@ -2973,509 +5189,539 @@ " \n", " temperature\n", " wind_speed\n", + " ghi\n", + " dni\n", + " dhi\n", " total_clouds\n", " low_clouds\n", " mid_clouds\n", " high_clouds\n", - " dhi\n", - " dni\n", - " ghi\n", " \n", " \n", " \n", " \n", - " 2016-02-18 00:00:00-07:00\n", - " 13.487732\n", - " 3.068041\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", - " \n", - " \n", - " 2016-02-18 01:00:00-07:00\n", - " 12.317657\n", - " 3.017766\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", - " \n", + " 2016-04-03 07:00:00-07:00\n", + " 14.254150\n", + " 3.840898\n", + " 106.189110\n", + " 278.487427\n", + " 57.312551\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 08:00:00-07:00\n", + " 13.241058\n", + " 3.722868\n", + " 334.661071\n", + " 651.734481\n", + " 82.893092\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 09:00:00-07:00\n", + " 12.518677\n", + " 3.776808\n", + " 569.712283\n", + " 829.668309\n", + " 92.683744\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 10:00:00-07:00\n", + " 11.690033\n", + " 3.539163\n", + " 768.177123\n", + " 921.228009\n", + " 97.377713\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 11:00:00-07:00\n", + " 11.030701\n", + " 3.530295\n", + " 909.195203\n", + " 968.970216\n", + " 99.750194\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 12:00:00-07:00\n", + " 10.536224\n", + " 3.573894\n", + " 980.540706\n", + " 989.349943\n", + " 100.748999\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 13:00:00-07:00\n", + " 10.257965\n", + " 3.649565\n", + " 976.446778\n", + " 988.238362\n", + " 100.694720\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 14:00:00-07:00\n", + " 12.905792\n", + " 3.865550\n", + " 897.257250\n", + " 965.338091\n", + " 99.571346\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 15:00:00-07:00\n", + " 19.228241\n", + " 5.671968\n", + " 749.436252\n", + " 913.979997\n", + " 97.013280\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", " \n", - " 2016-02-18 02:00:00-07:00\n", - " 11.835938\n", - " 3.168040\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", + " 2016-04-03 16:00:00-07:00\n", + " 25.426422\n", + " 5.948405\n", + " 545.990447\n", + " 816.024490\n", + " 91.966405\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 03:00:00-07:00\n", - " 10.929230\n", - " 3.353589\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", + " 2016-04-03 17:00:00-07:00\n", + " 30.819000\n", + " 4.669879\n", + " 309.082267\n", + " 624.337268\n", + " 81.289376\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 04:00:00-07:00\n", - " 10.236389\n", - " 3.583392\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", + " 2016-04-03 18:00:00-07:00\n", + " 34.863983\n", + " 4.089922\n", + " 86.669267\n", + " 223.879685\n", + " 52.436825\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 05:00:00-07:00\n", - " 9.944611\n", - " 3.329422\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2016-04-03 19:00:00-07:00\n", + " 37.832458\n", + " 3.245303\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 06:00:00-07:00\n", - " 9.121063\n", - " 3.434023\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2016-04-03 20:00:00-07:00\n", + " 38.908173\n", + " 1.377221\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 07:00:00-07:00\n", - " 9.221222\n", - " 3.934969\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2016-04-03 21:00:00-07:00\n", + " 39.482422\n", + " 2.257440\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 08:00:00-07:00\n", - " 14.331787\n", - " 3.221320\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 59.221272\n", - " 301.390004\n", - " 115.053768\n", - " \n", - " \n", - " 2016-02-18 09:00:00-07:00\n", - " 20.885101\n", - " 1.599202\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 82.097308\n", - " 638.076581\n", - " 321.648625\n", - " \n", - " \n", - " 2016-02-18 10:00:00-07:00\n", - " 27.321014\n", - " 3.068944\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 91.015043\n", - " 798.074632\n", - " 516.593983\n", - " \n", - " \n", - " 2016-02-18 11:00:00-07:00\n", - " 31.367584\n", - " 5.161620\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 95.147829\n", - " 877.243680\n", - " 663.238722\n", - " \n", - " \n", - " 2016-02-18 12:00:00-07:00\n", - " 34.534851\n", - " 5.482871\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 96.928033\n", - " 912.287907\n", - " 745.149722\n", - " \n", - " \n", - " 2016-02-18 13:00:00-07:00\n", - " 35.362274\n", - " 4.890551\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 97.116170\n", - " 916.023976\n", - " 754.658441\n", - " \n", - " \n", - " 2016-02-18 14:00:00-07:00\n", - " 36.348175\n", - " 5.767624\n", - " 6\n", - " 0\n", - " 6\n", - " 0\n", - " 111.537857\n", - " 811.191220\n", - " 654.161710\n", - " \n", - " \n", - " 2016-02-18 15:00:00-07:00\n", - " 35.474762\n", - " 5.970294\n", - " 4\n", - " 0\n", - " 4\n", - " 0\n", - " 102.106475\n", - " 766.937029\n", - " 537.112137\n", - " \n", - " \n", - " 2016-02-18 16:00:00-07:00\n", - " 33.589508\n", - " 7.494699\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 85.130445\n", - " 690.793425\n", - " 375.019926\n", - " \n", - " \n", - " 2016-02-18 17:00:00-07:00\n", - " 29.520294\n", - " 5.661609\n", - " 6\n", - " 0\n", - " 6\n", - " 0\n", - " 74.353134\n", - " 319.369110\n", - " 149.908034\n", - " \n", - " \n", - " 2016-02-18 18:00:00-07:00\n", - " 24.655243\n", - " 4.583275\n", - " 12\n", - " 0\n", - " 12\n", - " 4\n", - " 13.863049\n", - " 0.370031\n", - " 13.875561\n", - " \n", - " \n", - " 2016-02-18 19:00:00-07:00\n", - " 21.414612\n", - " 5.113087\n", - " 66\n", - " 0\n", - " 66\n", - " 54\n", + " 2016-04-03 22:00:00-07:00\n", + " 39.795258\n", + " 1.856643\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 20:00:00-07:00\n", - " 19.929047\n", - " 4.587288\n", - " 84\n", - " 0\n", - " 82\n", - " 52\n", + " 2016-04-03 23:00:00-07:00\n", + " 36.894440\n", + " 1.214436\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " 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0 0 \n", - "2016-02-18 06:00:00-07:00 9.121063 3.434023 0 0 \n", - "2016-02-18 07:00:00-07:00 9.221222 3.934969 0 0 \n", - "2016-02-18 08:00:00-07:00 14.331787 3.221320 0 0 \n", - "2016-02-18 09:00:00-07:00 20.885101 1.599202 0 0 \n", - "2016-02-18 10:00:00-07:00 27.321014 3.068944 0 0 \n", - "2016-02-18 11:00:00-07:00 31.367584 5.161620 0 0 \n", - "2016-02-18 12:00:00-07:00 34.534851 5.482871 0 0 \n", - "2016-02-18 13:00:00-07:00 35.362274 4.890551 0 0 \n", - "2016-02-18 14:00:00-07:00 36.348175 5.767624 6 0 \n", - "2016-02-18 15:00:00-07:00 35.474762 5.970294 4 0 \n", - "2016-02-18 16:00:00-07:00 33.589508 7.494699 0 0 \n", - "2016-02-18 17:00:00-07:00 29.520294 5.661609 6 0 \n", - "2016-02-18 18:00:00-07:00 24.655243 4.583275 12 0 \n", - "2016-02-18 19:00:00-07:00 21.414612 5.113087 66 0 \n", - "2016-02-18 20:00:00-07:00 19.929047 4.587288 84 0 \n", - "2016-02-18 21:00:00-07:00 18.152405 3.339503 70 0 \n", - "2016-02-18 22:00:00-07:00 16.684082 3.143910 0 0 \n", - "2016-02-18 23:00:00-07:00 16.077118 2.720356 8 0 \n", - "2016-02-19 00:00:00-07:00 15.573151 2.354249 38 0 \n", - "2016-02-19 01:00:00-07:00 15.176666 2.322797 84 0 \n", - "2016-02-19 02:00:00-07:00 15.666016 2.275185 70 0 \n", - "2016-02-19 03:00:00-07:00 16.090790 2.608982 96 0 \n", - "2016-02-19 04:00:00-07:00 16.209106 3.155016 100 0 \n", - "2016-02-19 05:00:00-07:00 16.019287 2.526263 100 0 \n", - "2016-02-19 06:00:00-07:00 15.584656 2.486689 100 0 \n", - "2016-02-19 07:00:00-07:00 14.376617 2.523578 100 0 \n", + " temperature wind_speed ghi dni \\\n", + "2016-04-03 07:00:00-07:00 14.254150 3.840898 106.189110 278.487427 \n", + "2016-04-03 08:00:00-07:00 13.241058 3.722868 334.661071 651.734481 \n", + "2016-04-03 09:00:00-07:00 12.518677 3.776808 569.712283 829.668309 \n", + "2016-04-03 10:00:00-07:00 11.690033 3.539163 768.177123 921.228009 \n", + "2016-04-03 11:00:00-07:00 11.030701 3.530295 909.195203 968.970216 \n", + "2016-04-03 12:00:00-07:00 10.536224 3.573894 980.540706 989.349943 \n", + "2016-04-03 13:00:00-07:00 10.257965 3.649565 976.446778 988.238362 \n", + "2016-04-03 14:00:00-07:00 12.905792 3.865550 897.257250 965.338091 \n", + "2016-04-03 15:00:00-07:00 19.228241 5.671968 749.436252 913.979997 \n", + "2016-04-03 16:00:00-07:00 25.426422 5.948405 545.990447 816.024490 \n", + "2016-04-03 17:00:00-07:00 30.819000 4.669879 309.082267 624.337268 \n", + "2016-04-03 18:00:00-07:00 34.863983 4.089922 86.669267 223.879685 \n", + "2016-04-03 19:00:00-07:00 37.832458 3.245303 0.000000 0.000000 \n", + "2016-04-03 20:00:00-07:00 38.908173 1.377221 0.000000 0.000000 \n", + "2016-04-03 21:00:00-07:00 39.482422 2.257440 0.000000 0.000000 \n", + "2016-04-03 22:00:00-07:00 39.795258 1.856643 0.000000 0.000000 \n", + "2016-04-03 23:00:00-07:00 36.894440 1.214436 0.000000 0.000000 \n", + "2016-04-04 00:00:00-07:00 33.192719 1.844514 0.000000 0.000000 \n", + "2016-04-04 01:00:00-07:00 28.700226 2.555076 0.000000 0.000000 \n", + "2016-04-04 02:00:00-07:00 23.608246 3.661363 0.000000 0.000000 \n", + "2016-04-04 03:00:00-07:00 21.342316 4.908610 0.000000 0.000000 \n", + "2016-04-04 04:00:00-07:00 19.925781 4.875780 0.000000 0.000000 \n", + "2016-04-04 05:00:00-07:00 18.598816 4.074512 0.000000 0.000000 \n", + "2016-04-04 06:00:00-07:00 17.231934 2.560997 0.000000 0.000000 \n", + "2016-04-04 07:00:00-07:00 16.026886 1.878456 110.209559 289.013258 \n", + "2016-04-04 08:00:00-07:00 15.045776 1.868246 339.780345 656.957095 \n", + "2016-04-04 09:00:00-07:00 14.371521 1.889787 574.824061 832.516507 \n", + "2016-04-04 10:00:00-07:00 13.706146 1.920604 773.008364 923.057930 \n", + "2016-04-04 11:00:00-07:00 13.147766 1.928311 913.655213 970.309978 \n", + "2016-04-04 12:00:00-07:00 12.699310 1.913968 984.610605 990.448411 \n", + "2016-04-04 13:00:00-07:00 12.249054 1.987152 980.150327 989.244235 \n", + "2016-04-04 14:00:00-07:00 15.354279 1.726539 900.647088 966.376334 \n", + "2016-04-04 15:00:00-07:00 23.468414 1.808320 752.580636 915.212999 \n", + "2016-04-04 16:00:00-07:00 30.781311 1.445872 548.949165 817.765674 \n", "\n", - " mid_clouds high_clouds dhi dni \\\n", - "2016-02-18 00:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 01:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 02:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 03:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 04:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 05:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 06:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 07:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 08:00:00-07:00 0 0 59.221272 301.390004 \n", - "2016-02-18 09:00:00-07:00 0 0 82.097308 638.076581 \n", - "2016-02-18 10:00:00-07:00 0 0 91.015043 798.074632 \n", - "2016-02-18 11:00:00-07:00 0 0 95.147829 877.243680 \n", - "2016-02-18 12:00:00-07:00 0 0 96.928033 912.287907 \n", - "2016-02-18 13:00:00-07:00 0 0 97.116170 916.023976 \n", - "2016-02-18 14:00:00-07:00 6 0 111.537857 811.191220 \n", - "2016-02-18 15:00:00-07:00 4 0 102.106475 766.937029 \n", - "2016-02-18 16:00:00-07:00 0 0 85.130445 690.793425 \n", - "2016-02-18 17:00:00-07:00 6 0 74.353134 319.369110 \n", - "2016-02-18 18:00:00-07:00 12 4 13.863049 0.370031 \n", - "2016-02-18 19:00:00-07:00 66 54 0.000000 0.000000 \n", - "2016-02-18 20:00:00-07:00 82 52 0.000000 0.000000 \n", - "2016-02-18 21:00:00-07:00 68 26 0.000000 0.000000 \n", - "2016-02-18 22:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 23:00:00-07:00 6 0 0.000000 0.000000 \n", - "2016-02-19 00:00:00-07:00 8 38 0.000000 0.000000 \n", - "2016-02-19 01:00:00-07:00 10 84 0.000000 0.000000 \n", - "2016-02-19 02:00:00-07:00 70 42 0.000000 0.000000 \n", - "2016-02-19 03:00:00-07:00 96 84 0.000000 0.000000 \n", - "2016-02-19 04:00:00-07:00 92 100 0.000000 0.000000 \n", - "2016-02-19 05:00:00-07:00 96 100 0.000000 0.000000 \n", - "2016-02-19 06:00:00-07:00 90 100 0.000000 0.000000 \n", - "2016-02-19 07:00:00-07:00 44 100 0.000000 0.000000 \n", + " dhi total_clouds low_clouds mid_clouds \\\n", + "2016-04-03 07:00:00-07:00 57.312551 0.0 0.0 0.0 \n", + "2016-04-03 08:00:00-07:00 82.893092 0.0 0.0 0.0 \n", + "2016-04-03 09:00:00-07:00 92.683744 0.0 0.0 0.0 \n", + "2016-04-03 10:00:00-07:00 97.377713 0.0 0.0 0.0 \n", + "2016-04-03 11:00:00-07:00 99.750194 0.0 0.0 0.0 \n", + "2016-04-03 12:00:00-07:00 100.748999 0.0 0.0 0.0 \n", + "2016-04-03 13:00:00-07:00 100.694720 0.0 0.0 0.0 \n", + "2016-04-03 14:00:00-07:00 99.571346 0.0 0.0 0.0 \n", + "2016-04-03 15:00:00-07:00 97.013280 0.0 0.0 0.0 \n", + "2016-04-03 16:00:00-07:00 91.966405 0.0 0.0 0.0 \n", + "2016-04-03 17:00:00-07:00 81.289376 0.0 0.0 0.0 \n", + "2016-04-03 18:00:00-07:00 52.436825 0.0 0.0 0.0 \n", + "2016-04-03 19:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-03 20:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-03 21:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-03 22:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-03 23:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 00:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 01:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 02:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 03:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 04:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 05:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 06:00:00-07:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-04 07:00:00-07:00 58.198551 0.0 0.0 0.0 \n", + "2016-04-04 08:00:00-07:00 83.195501 0.0 0.0 0.0 \n", + "2016-04-04 09:00:00-07:00 92.832874 0.0 0.0 0.0 \n", + "2016-04-04 10:00:00-07:00 97.469539 0.0 0.0 0.0 \n", + "2016-04-04 11:00:00-07:00 99.816099 0.0 0.0 0.0 \n", + "2016-04-04 12:00:00-07:00 100.802616 0.0 0.0 0.0 \n", + "2016-04-04 13:00:00-07:00 100.743838 0.0 0.0 0.0 \n", + "2016-04-04 14:00:00-07:00 99.622496 0.0 0.0 0.0 \n", + "2016-04-04 15:00:00-07:00 97.075358 0.0 0.0 0.0 \n", + "2016-04-04 16:00:00-07:00 92.058225 0.0 0.0 0.0 \n", "\n", - " ghi \n", - "2016-02-18 00:00:00-07:00 0.000000 \n", - "2016-02-18 01:00:00-07:00 0.000000 \n", - "2016-02-18 02:00:00-07:00 0.000000 \n", - "2016-02-18 03:00:00-07:00 0.000000 \n", - "2016-02-18 04:00:00-07:00 0.000000 \n", - "2016-02-18 05:00:00-07:00 0.000000 \n", - "2016-02-18 06:00:00-07:00 0.000000 \n", - "2016-02-18 07:00:00-07:00 0.000000 \n", - "2016-02-18 08:00:00-07:00 115.053768 \n", - "2016-02-18 09:00:00-07:00 321.648625 \n", - "2016-02-18 10:00:00-07:00 516.593983 \n", - "2016-02-18 11:00:00-07:00 663.238722 \n", - "2016-02-18 12:00:00-07:00 745.149722 \n", - "2016-02-18 13:00:00-07:00 754.658441 \n", - "2016-02-18 14:00:00-07:00 654.161710 \n", - "2016-02-18 15:00:00-07:00 537.112137 \n", - "2016-02-18 16:00:00-07:00 375.019926 \n", - "2016-02-18 17:00:00-07:00 149.908034 \n", - "2016-02-18 18:00:00-07:00 13.875561 \n", - "2016-02-18 19:00:00-07:00 0.000000 \n", - "2016-02-18 20:00:00-07:00 0.000000 \n", - "2016-02-18 21:00:00-07:00 0.000000 \n", - "2016-02-18 22:00:00-07:00 0.000000 \n", - "2016-02-18 23:00:00-07:00 0.000000 \n", - "2016-02-19 00:00:00-07:00 0.000000 \n", - "2016-02-19 01:00:00-07:00 0.000000 \n", - "2016-02-19 02:00:00-07:00 0.000000 \n", - "2016-02-19 03:00:00-07:00 0.000000 \n", - "2016-02-19 04:00:00-07:00 0.000000 \n", - "2016-02-19 05:00:00-07:00 0.000000 \n", - "2016-02-19 06:00:00-07:00 0.000000 \n", - "2016-02-19 07:00:00-07:00 0.000000 " + " high_clouds \n", + "2016-04-03 07:00:00-07:00 0.0 \n", + "2016-04-03 08:00:00-07:00 0.0 \n", + "2016-04-03 09:00:00-07:00 0.0 \n", + "2016-04-03 10:00:00-07:00 0.0 \n", + "2016-04-03 11:00:00-07:00 0.0 \n", + "2016-04-03 12:00:00-07:00 0.0 \n", + "2016-04-03 13:00:00-07:00 0.0 \n", + "2016-04-03 14:00:00-07:00 0.0 \n", + "2016-04-03 15:00:00-07:00 0.0 \n", + "2016-04-03 16:00:00-07:00 0.0 \n", + "2016-04-03 17:00:00-07:00 0.0 \n", + "2016-04-03 18:00:00-07:00 0.0 \n", + "2016-04-03 19:00:00-07:00 0.0 \n", + "2016-04-03 20:00:00-07:00 0.0 \n", + "2016-04-03 21:00:00-07:00 0.0 \n", + "2016-04-03 22:00:00-07:00 0.0 \n", + "2016-04-03 23:00:00-07:00 0.0 \n", + "2016-04-04 00:00:00-07:00 0.0 \n", + "2016-04-04 01:00:00-07:00 0.0 \n", + "2016-04-04 02:00:00-07:00 0.0 \n", + "2016-04-04 03:00:00-07:00 0.0 \n", + "2016-04-04 04:00:00-07:00 0.0 \n", + "2016-04-04 05:00:00-07:00 0.0 \n", + "2016-04-04 06:00:00-07:00 0.0 \n", + "2016-04-04 07:00:00-07:00 0.0 \n", + "2016-04-04 08:00:00-07:00 0.0 \n", + "2016-04-04 09:00:00-07:00 0.0 \n", + "2016-04-04 10:00:00-07:00 0.0 \n", + "2016-04-04 11:00:00-07:00 0.0 \n", + "2016-04-04 12:00:00-07:00 0.0 \n", + "2016-04-04 13:00:00-07:00 0.0 \n", + "2016-04-04 14:00:00-07:00 0.0 \n", + "2016-04-04 15:00:00-07:00 0.0 \n", + "2016-04-04 16:00:00-07:00 0.0 " ] }, - "execution_count": 30, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -3495,7 +5741,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 35, "metadata": { "collapsed": false }, @@ -3506,30 +5752,30 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 36, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude, start, end)" + "data = fm.get_processed_data(latitude, longitude, start, end)" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 37, "metadata": { "collapsed": true }, "outputs": [], "source": [ - "cloud_vars = ['total_clouds','high_clouds','mid_clouds','low_clouds']" + "cloud_vars = ['total_clouds', 'high_clouds', 'mid_clouds', 'low_clouds']" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 38, "metadata": { "collapsed": false, "scrolled": false @@ -3538,18 +5784,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 34, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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O5aGHHiIqKgqDwcCvf/3rXr13RTsyRxUihYWF/OEPf+APf/gDH3/8MR999BGb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\nbm5OmVX9M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69u2rG264QevWrdOnn36q5ORkLVy4UEuXLlVoaKhOnTolSTp48KASExPl7u4uh8OhlJQU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\n3LkcPHiQgIAAzM3N8fPzM9xitmjRIvr27Wu41e3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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -3560,14 +5806,14 @@ "for varname in cloud_vars:\n", " data[varname].plot(ls='-', linewidth=2)\n", "plt.ylabel('Cloud cover' + ' %')\n", - "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n", + "plt.xlabel('Forecast Time (' + str(data.index.tz) + ')')\n", "plt.title('HRRR')\n", "plt.legend(bbox_to_anchor=(1.18,1.0))" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 39, "metadata": { "collapsed": false }, @@ -3582,449 +5828,494 @@ " \n", " temperature\n", " wind_speed\n", + " ghi\n", + " dni\n", + " dhi\n", " total_clouds\n", " low_clouds\n", " mid_clouds\n", " high_clouds\n", - " dhi\n", - " dni\n", - " ghi\n", " \n", " \n", " \n", " \n", - " 2016-02-18 00:00:00-07:00\n", - " 14.558868\n", - " 4.402536\n", - " 0.000\n", - " 0\n", - " 0.000\n", - " 0.000\n", - " 0.000000\n", - " 0.000000e+00\n", - " 0.000000\n", + " 2016-04-03 07:00:00-07:00\n", + " 13.690399\n", + " 3.379238\n", + " 106.189110\n", + " 278.487427\n", + " 57.312551\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 08:00:00-07:00\n", + " 12.653381\n", + " 3.755251\n", + " 334.661071\n", + " 651.734481\n", + " 82.893092\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 09:00:00-07:00\n", + " 11.970886\n", + " 3.924942\n", + " 569.712283\n", + " 829.668309\n", + " 92.683744\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 10:00:00-07:00\n", + " 11.585083\n", + " 3.541783\n", + " 768.177123\n", + " 921.228009\n", + " 97.377713\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 11:00:00-07:00\n", + " 10.881439\n", + " 3.525367\n", + " 909.195203\n", + " 968.970216\n", + " 99.750194\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-03 12:00:00-07:00\n", + " 10.985199\n", + " 3.425176\n", + " 980.540706\n", + " 989.349943\n", + " 100.748999\n", + " 0.0\n", 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2016-04-03 17:00:00-07:00\n", + " 19.855591\n", + " 4.472356\n", + " 309.082267\n", + " 624.337268\n", + " 81.289376\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 02:00:00-07:00\n", - " 11.480347\n", - " 5.440288\n", - " 0.000\n", - " 0\n", - " 0.000\n", - " 0.000\n", - " 0.000000\n", - " 0.000000e+00\n", - " 0.000000\n", + " 2016-04-03 18:00:00-07:00\n", + " 21.754089\n", + " 3.587849\n", + " 86.669267\n", + " 223.879685\n", + " 52.436825\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 03:00:00-07:00\n", - " NaN\n", - " 6.185889\n", - " 0.000\n", - " 0\n", - " 0.000\n", - " 0.000\n", + " 2016-04-03 19:00:00-07:00\n", + " 22.571655\n", + " 2.957790\n", + " 0.000000\n", " 0.000000\n", - " 0.000000e+00\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 04:00:00-07:00\n", - " 10.089600\n", - " 5.327294\n", - " 0.000\n", - " 0\n", - " 0.000\n", - " 0.000\n", + " 2016-04-03 20:00:00-07:00\n", + " 21.762817\n", + " 1.464975\n", " 0.000000\n", - " 0.000000e+00\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 05:00:00-07:00\n", - " 10.123535\n", - " 4.824394\n", - " 0.000\n", - " 0\n", - " 0.000\n", - " 0.000\n", + " 2016-04-03 21:00:00-07:00\n", + " 23.140442\n", + " 1.940039\n", + " 0.000000\n", " 0.000000\n", - " 0.000000e+00\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 06:00:00-07:00\n", - " 9.428864\n", - " 4.465015\n", - " 0.000\n", - " 0\n", - " 0.000\n", - " 0.000\n", + " 2016-04-03 22:00:00-07:00\n", + " 25.727997\n", + " 1.749175\n", " 0.000000\n", - " 0.000000e+00\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 07:00:00-07:00\n", - " 9.707550\n", - " 4.535923\n", - " 0.000\n", - " 0\n", - " 0.000\n", - " 0.000\n", + " 2016-04-03 23:00:00-07:00\n", + " 25.900726\n", + " 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" 984.610605\n", + " 990.448411\n", + " 100.802616\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " \n", + " \n", + " 2016-04-04 13:00:00-07:00\n", + " 15.194244\n", + " 2.647570\n", + " 980.150327\n", + " 989.244235\n", + " 100.743838\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " temperature wind_speed total_clouds low_clouds \\\n", - "2016-02-18 00:00:00-07:00 14.558868 4.402536 0.000 0 \n", - "2016-02-18 01:00:00-07:00 12.147003 5.494945 0.000 0 \n", - "2016-02-18 02:00:00-07:00 11.480347 5.440288 0.000 0 \n", - "2016-02-18 03:00:00-07:00 NaN 6.185889 0.000 0 \n", - "2016-02-18 04:00:00-07:00 10.089600 5.327294 0.000 0 \n", - "2016-02-18 05:00:00-07:00 10.123535 4.824394 0.000 0 \n", - "2016-02-18 06:00:00-07:00 9.428864 4.465015 0.000 0 \n", - "2016-02-18 07:00:00-07:00 9.707550 4.535923 0.000 0 \n", - "2016-02-18 08:00:00-07:00 10.047699 4.843648 0.000 0 \n", - "2016-02-18 09:00:00-07:00 11.528351 3.679283 0.000 0 \n", - "2016-02-18 10:00:00-07:00 15.765289 3.046347 0.000 0 \n", - "2016-02-18 11:00:00-07:00 18.352509 6.133810 1.750 0 \n", - "2016-02-18 12:00:00-07:00 21.135712 6.084765 1.875 0 \n", - "2016-02-18 13:00:00-07:00 23.481384 6.148236 8.375 0 \n", - "2016-02-18 14:00:00-07:00 26.167572 7.556544 67.125 0 \n", - "2016-02-18 15:00:00-07:00 26.550659 6.204618 96.000 0 \n", - "2016-02-18 16:00:00-07:00 27.255127 6.954149 95.875 0 \n", - "2016-02-18 17:00:00-07:00 27.151306 6.564052 59.625 0 \n", - "2016-02-18 18:00:00-07:00 25.892670 5.362431 77.750 0 \n", - "2016-02-18 19:00:00-07:00 24.395081 5.620142 77.000 0 \n", - "2016-02-18 20:00:00-07:00 22.522827 2.815832 23.625 0 \n", - "2016-02-18 21:00:00-07:00 20.154633 2.780360 55.875 0 \n", - "2016-02-18 22:00:00-07:00 18.868591 2.259835 40.875 0 \n", - "2016-02-18 23:00:00-07:00 18.121704 2.132717 46.625 0 \n", - "2016-02-19 00:00:00-07:00 16.906128 3.542750 49.125 0 \n", - "2016-02-19 01:00:00-07:00 16.190918 2.522637 46.000 0 \n", - "2016-02-19 02:00:00-07:00 15.891754 1.922514 59.625 0 \n", - "2016-02-19 03:00:00-07:00 15.362091 2.755830 100.000 0 \n", + " temperature wind_speed ghi dni \\\n", + "2016-04-03 07:00:00-07:00 13.690399 3.379238 106.189110 278.487427 \n", + "2016-04-03 08:00:00-07:00 12.653381 3.755251 334.661071 651.734481 \n", + "2016-04-03 09:00:00-07:00 11.970886 3.924942 569.712283 829.668309 \n", + "2016-04-03 10:00:00-07:00 11.585083 3.541783 768.177123 921.228009 \n", + "2016-04-03 11:00:00-07:00 10.881439 3.525367 909.195203 968.970216 \n", + "2016-04-03 12:00:00-07:00 10.985199 3.425176 980.540706 989.349943 \n", + "2016-04-03 13:00:00-07:00 10.914856 3.475241 976.446778 988.238362 \n", + "2016-04-03 14:00:00-07:00 11.162567 2.863182 897.257250 965.338091 \n", + "2016-04-03 15:00:00-07:00 13.194580 4.317441 749.436252 913.979997 \n", + "2016-04-03 16:00:00-07:00 17.478760 5.788805 545.990447 816.024490 \n", + "2016-04-03 17:00:00-07:00 19.855591 4.472356 309.082267 624.337268 \n", + "2016-04-03 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0.000000e+00 \n", - "2016-02-18 22:00:00-07:00 40.875 30.625 0.000000 0.000000e+00 \n", - "2016-02-18 23:00:00-07:00 46.625 32.375 0.000000 0.000000e+00 \n", - "2016-02-19 00:00:00-07:00 49.125 35.500 0.000000 0.000000e+00 \n", - "2016-02-19 01:00:00-07:00 46.000 22.250 0.000000 0.000000e+00 \n", - "2016-02-19 02:00:00-07:00 59.625 56.500 0.000000 0.000000e+00 \n", - "2016-02-19 03:00:00-07:00 66.750 100.000 0.000000 0.000000e+00 \n", + " dhi total_clouds low_clouds mid_clouds \\\n", + "2016-04-03 07:00:00-07:00 57.312551 0.0 0.0 0.0 \n", + "2016-04-03 08:00:00-07:00 82.893092 0.0 0.0 0.0 \n", + "2016-04-03 09:00:00-07:00 92.683744 0.0 0.0 0.0 \n", + "2016-04-03 10:00:00-07:00 97.377713 0.0 0.0 0.0 \n", + "2016-04-03 11:00:00-07:00 99.750194 0.0 0.0 0.0 \n", + "2016-04-03 12:00:00-07:00 100.748999 0.0 0.0 0.0 \n", + "2016-04-03 13:00:00-07:00 100.694720 0.0 0.0 0.0 \n", + "2016-04-03 14:00:00-07:00 99.571346 0.0 0.0 0.0 \n", + "2016-04-03 15:00:00-07:00 97.013280 0.0 0.0 0.0 \n", + 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"/Users/holmgren/git_repos/pvlibfx/pvlib-python/pvlib/forecast.py:553: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", - " warnings.warn('HRRR_ESRL is an experimental model and is not always available.')\n" + "/Users/holmgren/git_repos/pvlibfx/pvlib-python/pvlib/forecast.py:572: UserWarning: HRRR_ESRL is an experimental model and is not always available.\n", + " warnings.warn('HRRR_ESRL is an experimental model and is not always available.')\n", + "WARNING:siphon.metadata:Value GRIB2 not valid for type dataFormat: must be ['BUFR', 'ESML', 'GEMPAK', 'GINI', 'GRIB-1', 'GRIB-2', 'HDF4', 'HDF5', 'McIDAS-AREA', 'NcML', 'NetCDF', 'NetCDF-4', 'NEXRAD2', 'NIDS', 'image/gif', 'image/jpeg', 'image/tiff', 'text/csv', 'text/html', 'text/plain', 'text/tab-separated-values', 'text/xml', 'video/mpeg', 'video/quicktime', 'video/realtime', 'application/octet-stream', 'audio/x-pn-realaudio', 'application/xml', 'application/octet-stream', 'image/x-cmu-raster', 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'audio/x-aiff', 'audio/x-aiff', 'application/octet-stream', 'text/x-sgml', 'image/tiff', 'video/mpeg', 'application/x-ustar', 'image/gif', 'application/vnd.ms-powerpoint', 'application/vnd.ms-powerpoint', 'text/x-sgml', 'image/x-portable-pixmap', 'application/x-latex', 'text/plain', 'video/quicktime', 'application/vnd.ms-powerpoint', 'application/x-troff', 'application/xml', 'application/xml', 'message/rfc822', 'application/x-netcdf', 'application/x-sv4cpio', 'application/octet-stream', 'text/plain', 'application/x-tcl', 'application/msword', 'application/octet-stream', 'application/octet-stream', 'text/plain', 'audio/x-wav', 'text/x-vcard', 'image/x-xbitmap', 'text/plain', 'audio/basic', 'application/x-troff', 'image/tiff', 'application/x-texinfo', 'application/oda', 'application/x-troff-ms', 'image/x-rgb', 'application/x-troff-me', 'application/x-sv4crc', 'video/quicktime', 'video/mpeg', 'video/mpeg', 'video/mpeg', 'video/x-msvideo', 'image/x-portable-graymap', 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http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/HRRR/CONUS_3km/surface/Best?var=High_cloud_cover_UnknownLevelType-234&var=Low_cloud_cover_UnknownLevelType-214&var=Medium_cloud_cover_UnknownLevelType-224&var=Total_cloud_cover_entire_atmosphere&var=Wind_speed_gust_surface&var=Temperature_surface&var=Downward_short-wave_radiation_flux_surface&time_start=2016-02-18T07%3A00%3A00%2B00%3A00&time_end=2016-02-25T07%3A00%3A00%2B00%3A00&latitude=32.2&longitude=-110.9&vertCoord=100000&accept=netcdf: Requested time range 2016-02-18T07:00:00Z - 2016-02-25T07:00:00Z does not intersect actual time range 2016-01-13T14:00:00Z - 2016-02-03T18:24:00Z", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mHTTPError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# retrieve data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_query_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlatitude\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlongitude\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstart\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/Users/holmgren/git_repos/pvlibfx/pvlib-python/pvlib/forecast.py\u001b[0m in \u001b[0;36mget_query_data\u001b[0;34m(self, latitude, longitude, start, end, vert_level, variables)\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccept\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata_format\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m \u001b[0mnetcdf_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mncss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 251\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 252\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/Users/holmgren/miniconda3/envs/pvlibfx/lib/python2.7/site-packages/siphon/ncss.pyc\u001b[0m in \u001b[0;36mget_data\u001b[0;34m(self, query)\u001b[0m\n\u001b[1;32m 98\u001b[0m '''\n\u001b[1;32m 99\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 100\u001b[0;31m \u001b[0mresp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_query\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 101\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresponse_handlers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munit_handler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 102\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/Users/holmgren/miniconda3/envs/pvlibfx/lib/python2.7/site-packages/siphon/http_util.pyc\u001b[0m in \u001b[0;36mget_query\u001b[0;34m(self, query)\u001b[0m\n\u001b[1;32m 367\u001b[0m '''\n\u001b[1;32m 368\u001b[0m \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_base\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_base\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'/'\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_base\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 369\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mquery\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 370\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 371\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0murl_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/Users/holmgren/miniconda3/envs/pvlibfx/lib/python2.7/site-packages/siphon/http_util.pyc\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, path, params)\u001b[0m\n\u001b[1;32m 446\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus_code\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m200\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 447\u001b[0m raise requests.HTTPError('Error accessing %s: %s' % (resp.request.url,\n\u001b[0;32m--> 448\u001b[0;31m resp.text))\n\u001b[0m\u001b[1;32m 449\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 450\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mHTTPError\u001b[0m: Error accessing http://thredds-jumbo.unidata.ucar.edu/thredds/ncss/grib/HRRR/CONUS_3km/surface/Best?var=High_cloud_cover_UnknownLevelType-234&var=Low_cloud_cover_UnknownLevelType-214&var=Medium_cloud_cover_UnknownLevelType-224&var=Total_cloud_cover_entire_atmosphere&var=Wind_speed_gust_surface&var=Temperature_surface&var=Downward_short-wave_radiation_flux_surface&time_start=2016-02-18T07%3A00%3A00%2B00%3A00&time_end=2016-02-25T07%3A00%3A00%2B00%3A00&latitude=32.2&longitude=-110.9&vertCoord=100000&accept=netcdf: Requested time range 2016-02-18T07:00:00Z - 2016-02-25T07:00:00Z does not intersect actual time range 2016-01-13T14:00:00Z - 2016-02-03T18:24:00Z" - ] - } - ], + "outputs": [], "source": [ "# retrieve data\n", "data = fm.get_query_data(latitude, longitude, start, end)" @@ -4131,6 +6415,154 @@ "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Quick power calculation" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from pvlib.pvsystem import PVSystem, retrieve_sam\n", + "from pvlib.modelchain import ModelChain\n", + "\n", + "sandia_modules = retrieve_sam(name='SandiaMod')\n", + "sapm_inverters = retrieve_sam('sandiainverter')\n", + "module = sandia_modules['Canadian_Solar_CS5P_220M___2009_']\n", + "inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_']\n", + "\n", + "system = PVSystem(module_parameters=module,\n", + " inverter_parameters=inverter)\n", + "\n", + "# fx is a common abbreviation for forecast\n", + "fx_model = GFS()\n", + "fx_data = fx_model.get_processed_data(latitude, longitude, start, end)\n", + "\n", + "# use a ModelChain object to calculate modeling intermediates\n", + "mc = ModelChain(system, fx_model.location,\n", + " orientation_strategy='south_at_latitude_tilt')\n", + "\n", + "# extract relevant data for model chain\n", + "irradiance = fx_data[['ghi', 'dni', 'dhi']]\n", + "weather = fx_data[['wind_speed', 'temperature']].rename(\n", + " columns={'temperature':'temp_air'})\n", + "mc.run_model(fx_data.index, irradiance=irradiance, weather=weather)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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4NaD9PrNnzwFg+vQTeOyx3w5o+0499QxOPfWMfrdDCDF8mUnESDxCZ0ybPNwQ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\nQQQkEERUQQRB6vmfiN+jULq9E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9uPauVi/WvIVvMpnkkUcewWrV+z4fffRRPv3pT/Pkk0+STqd5/vnnV32QM9E0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\n9baDjeX1qz7ebZWbeaPvBJiihOJpGuu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NTOC+jB3He/e9GYDnM8/2zJCFxVbF1xdQqTSr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\nUGQlkM0La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EBjlZqcmBOsHHh5KyiVzh4lbnDIiJiIxFVH/y16jkGsAqUIJpAmK2b75SpMYH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\n7U13LHc5TciPiQ2UgR3kxwbyYwNlYAf5ObqBGodhwIUGYiEEysvLERA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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mc.ac.plot()" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/docs/tutorials/forecast_to_power.ipynb b/docs/tutorials/forecast_to_power.ipynb index 5af903890d..777872b12c 100644 --- a/docs/tutorials/forecast_to_power.ipynb +++ b/docs/tutorials/forecast_to_power.ipynb @@ -18,16 +18,16 @@ "This tutorial has been tested against the following package versions:\n", "* Python 3.4.3\n", "* IPython 4.0.1\n", - "* pandas 0.17.1\n", - "* matplotlib 1.5.0\n", + "* pandas 0.18.0\n", + "* matplotlib 1.5.1\n", "* netcdf4 1.2.1\n", "* siphon 0.3.2\n", "\n", - "It should work with other Python and Pandas versions. It requires pvlib >= 0.2.0 and IPython >= 3.0.\n", + "It should work with other Python and Pandas versions. It requires pvlib >= 0.3.0 and IPython >= 3.0.\n", "\n", "Authors:\n", "* Derek Groenendyk (@moonraker), University of Arizona, November 2015\n", - "* Will Holmgren (@wholmgren), University of Arizona, November 2015" + "* Will Holmgren (@wholmgren), University of Arizona, November 2015, January 2016, April 2016" ] }, { @@ -167,7 +167,7 @@ "outputs": [], "source": [ "# Retrieve data\n", - "forecast_data = fm.get_query_data(latitude, longitude, start, end)" + "forecast_data = fm.get_processed_data(latitude, longitude, start, end)" ] }, { @@ -194,101 +194,101 @@ " \n", " temperature\n", " wind_speed\n", + " ghi\n", + " dni\n", + " dhi\n", " total_clouds\n", " low_clouds\n", " mid_clouds\n", " high_clouds\n", - " dhi\n", - " dni\n", - " ghi\n", " \n", " \n", " \n", " \n", - " 2016-02-18 02:00:00-07:00\n", - " 14.050018\n", - " 4.449326\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2016-04-03 06:00:00-06:00\n", + " 13.149994\n", + " 4.970030\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 05:00:00-07:00\n", - " 12.149994\n", - " 3.318027\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", + " 2016-04-03 09:00:00-06:00\n", + " 11.250000\n", + " 4.719343\n", + " 334.661071\n", + " 651.734481\n", + " 82.893092\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 08:00:00-07:00\n", - " 14.550018\n", - " 4.128268\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 59.221272\n", - " 301.390004\n", - " 115.053768\n", + " 2016-04-03 12:00:00-06:00\n", + " 9.850006\n", + " 5.627148\n", + " 909.195203\n", + " 968.970216\n", + " 99.750194\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 11:00:00-07:00\n", - " 30.050018\n", - " 6.592420\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 95.147829\n", - " 877.243680\n", - " 663.238722\n", + " 2016-04-03 15:00:00-06:00\n", + " 18.750000\n", + " 4.740433\n", + " 897.257250\n", + " 965.338091\n", + " 99.571346\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 2016-02-18 14:00:00-07:00\n", - " 33.950012\n", - " 6.997664\n", - " 13\n", - " 0\n", - " 14\n", - " 3\n", - " 129.299503\n", - " 722.682447\n", - " 612.717869\n", + " 2016-04-03 18:00:00-06:00\n", + " 36.350006\n", + " 3.536001\n", + " 309.082267\n", + " 624.337268\n", + " 81.289376\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " temperature wind_speed total_clouds low_clouds \\\n", - "2016-02-18 02:00:00-07:00 14.050018 4.449326 0 0 \n", - "2016-02-18 05:00:00-07:00 12.149994 3.318027 0 0 \n", - "2016-02-18 08:00:00-07:00 14.550018 4.128268 0 0 \n", - "2016-02-18 11:00:00-07:00 30.050018 6.592420 0 0 \n", - "2016-02-18 14:00:00-07:00 33.950012 6.997664 13 0 \n", + " temperature wind_speed ghi dni \\\n", + "2016-04-03 06:00:00-06:00 13.149994 4.970030 0.000000 0.000000 \n", + "2016-04-03 09:00:00-06:00 11.250000 4.719343 334.661071 651.734481 \n", + "2016-04-03 12:00:00-06:00 9.850006 5.627148 909.195203 968.970216 \n", + "2016-04-03 15:00:00-06:00 18.750000 4.740433 897.257250 965.338091 \n", + "2016-04-03 18:00:00-06:00 36.350006 3.536001 309.082267 624.337268 \n", "\n", - " mid_clouds high_clouds dhi dni \\\n", - "2016-02-18 02:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 05:00:00-07:00 0 0 0.000000 0.000000 \n", - "2016-02-18 08:00:00-07:00 0 0 59.221272 301.390004 \n", - "2016-02-18 11:00:00-07:00 0 0 95.147829 877.243680 \n", - "2016-02-18 14:00:00-07:00 14 3 129.299503 722.682447 \n", + " dhi total_clouds low_clouds mid_clouds \\\n", + "2016-04-03 06:00:00-06:00 0.000000 0.0 0.0 0.0 \n", + "2016-04-03 09:00:00-06:00 82.893092 0.0 0.0 0.0 \n", + "2016-04-03 12:00:00-06:00 99.750194 0.0 0.0 0.0 \n", + "2016-04-03 15:00:00-06:00 99.571346 0.0 0.0 0.0 \n", + "2016-04-03 18:00:00-06:00 81.289376 0.0 0.0 0.0 \n", "\n", - " ghi \n", - "2016-02-18 02:00:00-07:00 0.000000 \n", - "2016-02-18 05:00:00-07:00 0.000000 \n", - "2016-02-18 08:00:00-07:00 115.053768 \n", - "2016-02-18 11:00:00-07:00 663.238722 \n", - "2016-02-18 14:00:00-07:00 612.717869 " + " high_clouds \n", + "2016-04-03 06:00:00-06:00 0.0 \n", + "2016-04-03 09:00:00-06:00 0.0 \n", + "2016-04-03 12:00:00-06:00 0.0 \n", + "2016-04-03 15:00:00-06:00 0.0 \n", + "2016-04-03 18:00:00-06:00 0.0 " ] }, "execution_count": 7, @@ -317,7 +317,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -326,9 +326,9 @@ }, { "data": { - "image/png": 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UbtcTz5yC3ydi3670ptee7nXJXnt9DrtymxtQNAsn7cFCr05oNVqYn9/+rVEh\nFcGRU0s4fXYZUQN0w9vBKfswt6I6w4R8xr0XACAZURufx95cwF6DbNI2YlCBveG/hrvvvhuf/exn\ncd9996HT6eDhhx/GpZdeiocffhiSJGHPnj245557DF2wmbChqkRs+xqW8VwMPlHA2Tn+/0HzRLmm\nXmklDdgDgKzltgKb3DXiWpGhOTss1oHLDPuyrqdSb2Nkm58F/YAbL4Wv03hjqoTpxTredXVxS58L\nzdmBpG9botaUIABDe1hvxFg2iiOnljCzVDfMk9btVGoszdM4jS+gn0Pgowm64b+wSCSCb3zjGxf9\n+qOPPmrKgsymXDeu8A34RYxmozg3V4OsKFvS53mRkoGHD0DVD4mCQF6+m6DaMCauWI/m5cuJjssJ\nyLKCSkNCcZMWZqvRWwbduNeIlXmPp15iQ23DefeuJpcMIxT0kbPDFqk1O4iG/Ya9R8d0A25U+A5H\n38rMWI0vS5jkxdmBHzGYRZSqzEbLuG5jS+pifoXM44elVFPlJtu1MmMEA77eAaQKmSaqh8Jor0YA\nKKYjEECF72aoNiUoCpDY5j6M967WeXmxOI16s4PDx+dQSEWwd2dqS19DFARM5GKYWaQUva1Qa0iG\n3kCNZ2nAbbOw8AqjO74sYXKWk4RJzxW+RnZ8Ad01+yyd8oelVDP28AGo+9Bsd7FAB5ChMONkH/D7\nkE2GqfDdBNrV4jY/C9mE2m2kwndrHD+zjHZHxq3Xjm6r4zhRiKMrK1RsbRJFUVBtSIZYmTHIW3zz\nVBrmdHyBfsLkLAcJk94rfA0uuibzpC/dLJrO2qBIRADYSTrfTWHWyX40G0W51ka9Z01EDKbMDiDb\nfOGrHZUoZpbqZCe3BdgzqZiObOvrMIvLc/Qc2hQtqYuurCAWNq7gSkQDiIX9dAjZBGa9F4B+wuQ0\nB4dzzxa+271aZLCO7znSdQ2N1vE18MNFA26bwywt11im93Cjru9QVAy8gRrPxtDpKphf2ZozhJdh\nna74Nj8PE3n13z/pfDdHrdFLbTPQlUcQBIxm+QpO4B02eG5Gx5enhEnPFb5GD1Yl4yEkohRdvBnK\nVeM7vpNF1brkDElOhqLSaEMUBMMmqBnagBt1WYaiXDNuyHC8V3SRq8DmqWqd9+09kyaoEbIltPAK\nAzu+gDrgJit8XK87gYoJQ8+MHboBXLvxXOFbrrURDfkR8Bv3o08W4lgoNVFvUnTxMJRqatFl5CBD\nMhZEIhans51zAAAgAElEQVSkA8iQVOsS4tGA4U4kLDGJdL7DwTrvRtxAUXTx1mEuJ9t9JsXCAWQS\nIZI6bBIj44r1jGkHcfpMDEOlLiHoFxEKGB84lh4JIRz0cfF88lzhW6q1Dev2MiYLareRTvnDUa61\nMRIzvujaWYhjsdzUugfE+pgRSwlQ4btZNE2dAc+kHRxdJToNTepgQOE1kY9jpdpGtUHPoWGp9ppG\nMYODJsY484/lnWq9jZFoAIIJ1qyCIGCcE9cTTxW+na6MakMy1E0AIH3pZinV2obvAaDTW9M+DKTT\nlVFvdbY9ULUWqXgQ4aCPpA5DUtY6vtvfi0wyjGBApMJ3C1TrEgJ+EcHA9l+JNOC2eajjaz+KoqBc\nlxA3YbCNMZ5VnR3stn/1VOGrXSuaVvhSgttGNNsdtKSuYR6+eiaL6j6Qzncw1YbxHr4MQRAwmoli\ndrkBWSZP5Y0o19sQBGNe+GLPK3N6sU5/95uk2vOQNaLTRQNum4fd0hnp6gAA+WQEfp9AHd8haEld\nSB3ZlJtAhha0Y/McgqcKXyPjivWMZqO96GJ60G2EGR6+DCY5oX0YjFmODozRbBSdroyFMrkLbESl\n1sZIxDjZz3guhk5Xtr2j4jQqDcmwG5AJunnaNMzVwci5DwAQRQHFTBQzi3UoFG40kIpBA56D0Jwd\nbO7Ae6vwNTi8guH3iRjPxTA1X6NOywaYdfgAgNFMBAG/iDPUeR+ImV6NgE7nS12WDSnXJUP0vQzS\n+W4eqSOj1e5u28qMMZpRGyHnyF1jaKqs42ugnRljLBtDS+piudIy/Gu7if6NuJkdXz4SJj1V+Bod\nV6xnshBHuyNjdple9oMwcw98oogduRjOL9RsF8/zDHvAGd1dYfQLX3rxD0LqyGi0OoZ5igNqOhLA\nh2WQU6gaONgGqI2QsWwMUwtVaoQMiabxNVjqAFB08bCY3RAB+EmY9FTha1bHF6ABt2HRpA4Gevjq\nmSzE0ekq1G0cQNXEWEqgP0lNzg6DMWMfeLlKdBLaPhh4xTtZiKEtkeRkWGoNCQKAqMG+4kDfW5w+\nE4Nh9ZEZQ88MXhImvVX4mqovpcJ3GMzcAwDYWSSd70aYfbIvpiMQQIXvRhidIgkAuWQYQb+I83TN\nPjTV3ufBKKkDQEEWm6XW7CAa9kMUjbfRYv7W1AwZjBbiYmLHF2BzCArmbAwV8WTha+SLhjFBhe9Q\nGJ2ctxo6gGyM2cNtwYAPmUSYYos3wEgPX4YoCBjLxjC9RM4Ow2Kkhy+DWZrRc2g4qk3JcCszRjET\nhQBgmjq+A9HeCyZqfAF9dLF97wdPFb5mFl2JaBDJOCWHbYTZHV/2wqEBt/WxQss1mo2iVG2j0aI0\nw/XQpFcGH0DGczFIHRnzJbpmHwYzJCealy913jdEURTUGpIp+l4ACAV8yCbDpPHdACveC4AuYXLB\nvlrJU4WvGXHFeiYLcSxXWpTYM4BSrQW/T0TEBC0XAETDfuSSYZydq5J9zTr0h9vM2QOAEtyGoVwz\nLq5YDy+T006hasKwZyoeRDwSIKnDELQlGZ2uYoqjA2M0G0Wp1kadUj3XpaJp3c3t+LJQkVmSOliD\nGXHFeig5bGPKtTaSMXMiERk7iyOo1CWs9BwkiAupNCTEwn74RPM+/v3EJCp818OsDsuOnPocosJ3\nOMyQOgiCgIl8DPPLDTTbdOsxCBZeETep4wv0u4zU9V2fcq0Nv09EOOgz9ftkEmEIABZK9vm8e6bw\nNSuuWA/pSwejKErv8GF8apse2ofBVOptU2MpgX7Hl3S+66NNURusqaOO7+YwK8lwIh+HArKW24iq\nSXHFesjZYWMqdQkjUXObUoBq95caCWGRCl/zMSuuWA8lhw2m3uqg01VMPXwAwE6KkF4XWVFQbUim\nxlICJHUYBu2ZZHDBlUtGVGcHG4dHnITm6mDwVTsbeLY7npV3ak21Ix4Lmyd1IGeHjak02qYM/q9F\nLhnGcqVlm6WZZwpfMxPDGKOZCPw+kQrfddDCK0zy8GVQx3d96s0OFMV8HVd6JIRQwEcvmgFU6uZc\nLYqigNFsFNOLNcikc9+QSkNCKOBDwG/sPpCzw3DULOz4ktRhbVrtLtqSbHpDhJFLhiErCpbL9qTp\neafwNTG8guETRezIxzC1ULPVnJlXzLST05NNhhEJ+XFmll44q7FqclcQBBQzEcwu16n4WodyTULC\nJL37eC6Gdke2VUfnFKoNyZQUwx25GATQzMdGVC3Q+Cai6rAhSR3Wpv9esKbwzSYjAOzT+Xqm8DUz\nKlfPZD6OTlemTtcamJ3axhAEAZOFOGaX6mi1u6Z+L6dhtoevnrGsaqu1RMXXRSiKgkq9bdoBZAfz\nyqRr9g2p1iVDwysYoaAPhXQE5+bJYWYQVnR8AbXrO7/SgNShptRqKibp3NcjlwwDoMLXdKzo+AJ0\nzT6Ikskevnp2FtTBknM2egXyiFUdX4B0voNoSV20O7Jptx+aVyZ1uAbC9sEs6c9EPo5as0MOMwPQ\nNL4m2pkBwHg2CkUBZpfpebQaqzu+/cLXHksz7xS+FhVdWuFL/o0X0d8Dc10dADqArIfW8TW5uwKQ\ns8MgyiZ33sfzauFLg1WD0Tx8TdoHSvTcGObqYKbUAQBGMzTgth4Vi+KKGazwtcvZwXOFr9n60ski\nPejWo1RThewJkyMRAdqH9bDyZE8d3/WpmPw8yicjCPhF6vhuQNUED189bMBtihoh62KV1EGz+aPP\nxEVYKYED7Pfy9Uzha2ZcsZ5YOIBMIkQF1xpYtQdAv+iao6LrAqzUcmmFL3VYLkJ70Zh0CBRFAWMZ\ncnbYiKrJaVUTBbXLSDeA61NrdiAAiJqU5skYI0uzdSlbKIED+l6+VPiajNlxxXom83GUqm3tHxOh\nUq62EQr6EA6a+4ADgHDQj2Q8aGssIo9ULTzZh4I+ZBIh6viugTZzYOKLZjwXQ1uSbTWK551Ko+fh\na1bnPRVBMCCSs8MAak0J0bAfomhucEI2EaZbkHWwWuML2Ovl65nC1+y4Yj2TRTXI4swsBSjoKdXb\nlgy2MYrpKBbLTZri1WH1A240E8VypYVGi2Jb9VgxZDjGnB0oOWxdqiZr3kVBwEQ+junFOjpdeg6t\nRa0hIWayvhfo+VtnophZIovF1ZgVpjMIO718PVH4WhFXrGdXr/A9PUOFL0OWFVRqkmWHDwAopCNQ\nFGB+hbq+jEpdQihovFn/eoz1BkpokvpCyjWWJGneC38HFb4bYrbGFwAm8jF0ZYWu2NdAURRUGx3T\nHR0YY9ko2pKMpTLdguip1CX4fYLhYTqDyNpoaeaJwteKuGI9l4xS4buaakOCrJgfV6ynmFZNsqno\n6lNpSJY4OjDGcpSYtBYVi6QOABW+g2Cad7NcHQBdghvpfC+i3ZHR6cqWdHwB9RYQAOZIAncBzFPc\njDCd9cjZGGLhicLXirhiPZlECPFIAG9T4athpYcvgx5yF9IPTbCw8M1Q4bsWZQskJ/lUGH6fiCkq\nfNfFbKkD0LdWPEeF70XULOi468ml7A1O4JVK3dqGCNDv+C7a0H33RuFrUXgFQxAE7BodwUKpqV2l\neR2rDx8AUOwVXTTgptJsd9HpKpZN7gLAqDZJTcWXnnJNQthkyYlPFDGaiWJ6kTSN61G1wEprR6/j\ne26OPgOr0cIrLOr45ntdRpK/9WlLXbSkLkYsfDcD9oZYeKLwtSquWI8md6ABNwB9D18r96CQ6kkd\nyFUAgM7KzMKTfSoeRDjoo47vKir1tiWDJDvyMbSkLmka16FSlxAJ+eH3mfcqjEcCSI+EqOO7Bn0P\nX2s0vvkUFb6rsdrDl5EZUb187XCd8UTha3XHF+gPuJ0huQMAvdTB/NQ2RijoQyoexBxpfAFYG1fM\nEAQBY9koZpfrttjW8IisKKg2JNM8fPWMZ3um/SR3WJNqo424BUXXRD6O5UqLbgBXoXXcLer4pkdC\n8IkCSR10MEu/kYi1Hd+A3z4v34GFb6fTwZ/92Z/hD/7gD/DhD38YP/nJT3Ds2DHccccduP/++3H/\n/ffjiSeesGqtW8aquGI9rONLOl8Vreset/bDVUxHsVRuQep0Lf2+PGLXyX40E0Onq9DLpke92UFX\nVizp+I7n1Gv28wt0+FuN0juAxC144U9oEdLU9dVTa1rb8RVFAdlkmDq+OpjDjNXvBUDV+S6Vrffy\nHfiv7Yc//CHS6TS+9rWvoVQq4UMf+hD++I//GB//+MfxsY99zKIlbh+r4or1ZJNhxMJ+cnboYYVh\n/1oUMxGcOLuCuZWmZu/kVVjH18wJ9rUYy/YH3NjAoZexsvPOYlqnFqjgWk1f827+52Gi0I9Q37sz\nbfr3cwpM42vVcBsA5JNhHHl7Gc12x5IwJd6xI7yCkUuG8ca5EpYrLc3lwQoGdnzvvfdePPDAAwAA\nWZbh9/tx5MgR/PSnP8V9992HAwcOoF7nv5NgZVQugw24za00UG/S9Rbr+Fq5B4DO2YF0vroJdmv3\ngBW+5GOq0h/0NP9FU0hH4PcJ1PFdAys8fBmTbMBtniQnemoWSx0AIJeyz0aLR+wIr2CwATerdb4D\nC99IJIJoNIpqtYoHHngAn/70p3HdddfhwQcfxGOPPYbJyUl885vftGqtW8bKuGI9u8jPV6NcayMW\ntn4PCmlydmDYJnXoOTtMk7MDAP0+mP+iYc4O5xdrUMjZ4QKsLHxHs1H4RIGkDquwwlVjNTTgdiGa\nxteWwteeQ8iGff7p6Wl86lOfwn333YcPfvCDqFQqGBlRC7q77roLX/7ylzf8Jul0FH6LkqLWotKQ\nkE6Ekc+PWPp9r7uigCeePYOFqmTZ97b6ZxyWSkNCJmn9HlzVUV/2pQbtgdQrfHZNpJG3UPaRSkch\nigIWyi1L/2543Qf55AIAYEcxYckad+9I4dz8FBDwI2+x1ITXPQCAM70biNF83JJ1jmajmC81Lf87\n4XkPeo9n7NyRQjJuzeDzpZOq1KTZUeh5BEDqjb/smkgh37uZsIo9PdlPQ5It/fsZWPguLCzgE5/4\nBD7/+c/jlltuAQB84hOfwOc+9zns27cPBw8exDXXXLPhN1m2caq+05VRrrUxlolift7azmu611k7\n8uY83n1t0fTvl8+PWP4zDgPbg/Gs9XvgU1TR/OnzJUu+N697AADzPbmH1Gxjft7aYYJ8MoyzsxXL\n/m543ofzs2X1P7pdS9aYHVE7Oa+emMN1e7Kmfz8Gz3sAAFPT6j4IsmzNPiTCmJqv4fTZJUSt8q3l\nfA+Wel3XZq2Fdq/zaDah3qXjqXMr9DwCML+k3sSp7wVr1+iHevI5PW38+3lQIT2w8P3Od76DcrmM\nb3/72/jWt74FQRDw2c9+Fn/5l3+JQCCAfD6PL37xi4Yu1misjivWk0+GEQ3RgJudexAK+JAeCZHU\nAfbksTPGsjG89MaCFo3pZZifslWaunFdiIiVhS/vaHHFFmneNV/x5QZ2j1k/SMQjtaaEaMgPUbQu\nKjdPGt8LqDQk+EQBkZD1g36ZEXs0vgN/0gMHDuDAgQMX/frjjz9u2oKMxo7EMAYbcDt2ehn1ZgfR\nsDcnSPvhFdZ5+OoppiM4fmYFbamLYMA+yY3d2JHHzhjLRvHSG6qzg+cL394zyaqkpEK6V3CRpvEC\nqg1rp9nZPswtN7B7LGHJ9+SdWrNjmZUZIxb2Ixz0Yd6GxDAeYTH2drwXAn4RqXjQ8kOI6wMs7Aiv\n0MMG3M54OMFN81G22MOXwaKL5zz+4q80rM9jZ4wyZwdy10C5LkEALAlOAC4suIg+zOXEKistNmhL\ngTp9qg3JUkcHQG1I5VMRzK80aOAT6k2gnc2IXDJiuZev6wtfO+KK9VB0sc7KzKYPF7M0m13y7otf\n6nTRanct9/BljJGzg0al3kYsEoBPtObxGw76kYwFKbp7FZrUwaLPRJEOIBfQlrqQOrKljg6MXDKM\ntiRrMjyvInW6aLa7tnj4MnLJMGRFwUrFGo034IHCl5eOr5d1viWbO779jpd3X/xWWmitxWimH2Lh\ndcq1tg1+1hEslpvodCk2mlHtdd5jFknQsskwREEgyUkPO8IrGGRppmL3ewFQPxcAsGCh9MT9ha8N\nccV6CqkIIiG/p6OLSzbvAeu0zFLha5vUIR4JIBENeD7EotOVUWt2LN+HQjoKRaGBHj3VhoRo2G9Z\n593vE5FNhqjj26MfXmH97ItW+Hpc52uXt7uenFb4Wvds8kzha9c1uyAI2FWMY3apjkarY8sa7MbO\nAUNA7fgK8PYVY8XiQZ61GM3GMF9qQOp0bVuD3TDDfqsG2xjFTO/wR3IHjUpDQtzi90IhHUW51vbs\nu0BP1YbUNoZWbK14+yBoZXz6erAQCyudHVxf+NoRV7yaXaMjUODdAbdSrQ0B9hVdAb8PmYS3Lc14\nuNIay6pdRy9rrfvxoNZ3fAFvH/70KIqCal2ybMCQwWRXXr9iB1QrM8Da1DYGSR1UynX7GyLU8TUB\nu+KK9Xhd51uqqXYpVl0prkUhHcVypYWW5M1uIw9XWmNM5+vhrqM2c2DxAYTkPhfSaHUgKwpGLPLw\nZRRTNODG6Gt8rZc62FFs8UhfAmdfQySTII2v4ZRsGCRZzSWjqmejV50d1GEeezx8GV6fqObhSmuU\nnB0s9/Bl5KnguoB+eIU9nXc6gOg1vtYfxoMBH5LxoOc7vjw0ROzw8nV14dvpyqg2JNuGqhiFdATh\noM+TA25tqYtGq4NkzN6kIu2F49FuY8Viz9K1GGNevh4ecCvbJHWIhPxIxIJUcPXQPHwtl5zQAYRR\ntVHqAAB5G/xjeaNis+sVI5eMYLli3V64uvC1MypXjygI2FkcwcxiHc22t4Ya+oNtNnd8M96+6tWG\nqmw82WcTYQT8oqctzezsvBfTESyUyNIM6Hd8rXbXyKfCnh+0Zdjp6gCoeyErCpbKLVu+Pw/w0PEF\nVOlJV7bOy9fVha/dbgJ6LtEG3Kp2L8VS7PbwZRQ9PtxTqbchCPZ1VwBAFAWMZqKYXqpB9mhikp3P\npEI6QpZmPWo2SR3YoK3XUyQBoNZQm0B2PZOYm4CX5Q6Vehs+UUA0ZM/hg2G1l6+7C19O2viAdwfc\n7PZRZuRTqqWZV50dKnUJ8UgAog157HrGslG0JRkrFW92WezssBQpMlejYpPUAaBBW4bm6mBTxzeX\nogE39l4QbH4vZC0eNnR14Wt3XLEer0YX82AnB6gC+kwi7FmpQ6XetnWwjeH1BDc7OywFzdnBm4c/\nPZr0x4Zp9iJZmgEAqo0OIiHrAkRWUyBLM1QafLwXmMuGVV6+ri58eer4FjNRhII+z3V87U5t01PM\nRFCqtj2ns+7K9qSFrcWYx50dynXV2s+ODovW8fWwjzKj2gt0savjC3jbzxpQO752dXsBkjpIHRmN\nVtd2fS/Q3wvq+BoAL9fsQG/ArRDH+cUaWm3vXHFxVfh6VOdb7Wnp7HjJr4Y5O3jVy7dcl2xLkdQ6\nvive/LvXY6fLiebs4PF9qDUkW2cO0iMh+ETBs1KHCgfhFYxsQh1+XyxT4btt7I4rXs2u0REoCnB2\nzjsDbtrhI26vqwPgXS9fHjx8GcWMdy3NWlIXrXbXcg9fBrM0o46vKnUQBCBqQ8eRLM1Um8t2R7bV\nXlEUBWSTYc92fHlI82QE/KqvMg23GQAv+lIG0/m+PVO2eSXWUaq1VE2jjVdajELGm+bx1bo91k1r\nEQr4kE2EPSl10DwzbeywFMjSDIBa+No17ElhIv3UNjulDgCQT4ZRqUuek78Bqr4X4KPjC6g636Vy\nC7JsvuOPqwtfHuKK9ezyYIJbqaom59ntJgDoYls91vGqcODhq2csG8VKtY1601svGx46LMVUBLKi\nWDZEwitsmt0OQgEf0iMhT7tr1GwOr2CwQ8jCivc+D1rOAQcdX0DV+XZlBStV8x1/+KgITYKHuGI9\nY5koggHRMwNuiqL04or52IN8KgJB8F7HlyepAwCMsgQ3j+l8mezHzgNI/9bDW4c/PbKsoNaUbL0B\nKaTU1DCp4515Dz12xhXryTFnB4uu2HmCl/AKRs5CSzPXFr68xBXrEUUBOwsjOL9QR9sDHo7Ntqrj\n4mUP/D4R2UTYcy993h5wXnV24KHDot16eOzwp6fe6kBR7O02FtIRKADmPdhpBHQDt3ZLHTzd8eWr\nIWJliIVrC19e4opXs2t0BLKieGLAjafkPEYxE0W51kaj5Z1rdt4ecGMZb3Z8tX2w8fPgVWcTPTxM\ns3t9wI0XqQPrMnpxwI2Hz4Ee6vgaAI9FF6AfcHO/3IEnKzOGF50d7LRuWgvN0sxjzg6ar7iNBxCv\nF1xAP7wibkN4BcPrKXq8FL5ax9eDmnceZg70WOnl697Cl6PwCj1eii7myUeZwV44Xrrq5e1kn4gF\nEQ35PSd1KNeY1MG+fYiE/EhEA57697+aKgcHwb6nsjcPIDVN6mDvMykW9iMS8nm04ytBFPhwXAJ0\nXr5U+G4dnuKK9Yxlowj6RU84O/BmJwd4M7a12pAQCfnh9/HxcRcEAWPZKOaWG56y1eJFclJIR7Ho\nYUszHlxOvG5pxrrusYi9RZcgCMglI5gvNaAo5tto8US53kY8ao+l31pY6eXLx5vQBHjt+PpEEZOF\nOM4v1Fw/0VuqqbYkPB0+WIDCnIf0pZW6xE23lzGajaIrK566YizX2wgFfAgFfbauo5BWbYOsSkni\njb7UwebOeyxIUgcO5Ff5VARtSdau/r0Cj++FXMIaL1/3Fr4cXrMzdo2OoCsrODvn7qterevOQWob\nI5cMQxQEz3R8FUVBtcHfA86Lzg68vGi8qHPXoxW+Nu9F0cNhIn07M/uv2b044Nbpymi0OlyEGunJ\nJsOWePm6vvDlxZxZT1/n6+4ENx4PH36fiFwy7JlOS73VQVdWMGLjIM9ajHksuph5WtstcwBUqQMA\nzHro1kMPL0mGhXQEimKNppE3as0OIiEffKL9JUjeg16+vLpeWTXgZv+/OpPgUV/KuKSX4OZ2Z4dS\nrY2AX0TY5qvd1RQyEZTrkicszXjz8GWMeszZodHqoisrtg62MYoZ6vgC9ro6ALoDiAf3odqQbA+v\nYORTrOPrnQOINm/AWUOEdd/NPgy6tvDlLa5Yz3guioAHBtxKtTaSsSAETsTzjGLKO84O7AFn97Xu\navKpCHyigOklb0gdePDwZRRS3i24AKDSaMMnCoiE7D2QezlMpNbkp/DVuowekjrw2hDJWRRiwV9V\naBC8xRXr8YkiJvJxTM3XIHXcqe9iV7s8yRwYhV7Ha3bJ/Q+6/rUuX/vg94kopCOYWax7YpqaBw9f\nRjTsx0g04Bm5z2qqdQnxSMD2A7lXPZWlThdtSUbcZkcHhpXBCbzAm8UlI2vRXriy8OUxrng1l/QG\n3M7NuzPBrdZUtaU8Hj685OXLg3XTeoxmoqg1Oyh7YJqaBw9fPYXeYFVXdufBexDVhsTFDUjBo5Zm\ntaYqMePB0QEAggHVRstLw228hVcwsgkqfLcMr8JtPW4PsuAxtY3hJY0jL96xa8GcHWY84OzAk9QB\nUOUOXVnx3GBVV5ZRa/IxzR4NBxCPeK/z3nd0sH8PGPlUBEvllmccNioNPju+wYAPyViQNL5bgde4\nYj1ujy4u9+xIeNyDXDIMnyh4o+PLqZYL8FZ0MU9SB8Bbhz89WmIYB4Uv0Lc081LnnZfwCj35ZBiy\nomCpYq6NFi/w2vEF1PfzYrlpqpevOwtfTsMr9IznYvD73DvgVqrz5+HL8IkissmwJzS+vGq5AG85\nO1RqfB1AvJhgCPSlP3FOXvj9MBFvFFxAX+pgd1yxHq8NuLHmIC/PIz1WePm6svDlNa5Yj98nYrIQ\nw9R81ZXXK+UqXx2u1RTTUVQbEupNd+tLK5wOtwHAWKYXYuEBZ4f+1SIf++AlnbueKnM54aTbyCzN\nvCR30KQOnHTdgb6Xr1cG3CoNCYLA1x4wrPDyHfjp73Q6+PM//3NMTU1BkiT80R/9ES677DI89NBD\nEEURl19+Ob7whS+Ytrit4oSOLwDsKo7g1HQFU/M1TfPrFjSNb5zPPSimI3gVasdr9xh/H36jqNQl\nBP2i7TG5axEN+5GMBz0RYsFbh8Wr6W28ePgyLnB22G3zYixCG27jqOPb9/L1xuehUpcwEglA5Mxq\nFFjl5TtpzvcY2PH94Q9/iHQ6jb/927/Fd7/7XXzpS1/CV77yFXzmM5/BY489BlmW8eSTT5qzsm3A\nY2LYWuzSdL7uS3DjebgNAIoZb6RXVRttboqttRjLRLFYaqIlde1eiqlU6hJiYT/8Pj4u2dhglVel\nDjwMtwHetDTjUuPL0ts8UvhW63ykSK6FFV6+A5/C9957Lx544AEAQLfbhc/nw9GjR7F//34AwB13\n3IGDBw+atritwnNcsR6W4OZGZwfeBwy90vGq1CVu9IxrMZaNQYH7DyBlDl80xXQECysNbw1W1ZnG\nl4/Ct6hJHdz9HNJTa/Ln6pCKh+ATBU+kt3W6PWcTTj4Dq7HCy3dg4RuJRBCNRlGtVvHAAw/gT//0\nTy8wm4/FYqhU+CvaeI4r1rMjH4PfJ7hywK1UayMc9CEU4O+KHdAP97i34Gq1u2h3ZG4fcEB/wG3G\nxYWvLCuo1iVuPHwZXhys6ksd+NiLWNiPaMjv6ufQamqc7QEAiKKAbDJsemIYD1Q5G/BcjRVevhve\nNUxPT+NTn/oU7rvvPnzwgx/EX//1X2u/V6vVkEgkNvwm6XQUfr91BVCt1UEsEsD4WNKy77lVLhlL\n4PRMBelMzJBr0HyeD61wpSEhkwhzs57VZDIx+EQBS5W24Wvk5WdmXdR8OsrNmlZz5aU5AK+j3Oi4\ndh9WKi0oAHIZvvZh90QaB4/MotU17++Kp58XADq9vs2uiTTyPbmT3ewoxHHqfBmZbBw+0XjNJW97\n0O6qm7BrMs2N9AcAduTjePHkPOKJCCIh42UYvOxDVVJveAqcPY/0pEZCWKka/25mDNzdhYUFfOIT\nn+P1AysAACAASURBVMDnP/953HLLLQCAq666CocPH8ZNN92Ep556Svv1QSxbfJpdKjUxEglgfp7/\nTup4NoY3zpXw8rEZ7Cxub5Pz+REufmZZVlCqtlBIhrlYz3rkUhGcm6sYukZe9gAATk+r2vGAKHCz\nptVEfeqL/o2zy67dB5bOGPSJ3KwJAOJBteg4+fYiJrMRw78+T3vAWOi9i9qNFubn+dCVZ0ZCeL0r\n4/W3FrRrXqPgcQ9Wyk2Egz4sc+bmkuzdyBx/Yx4ThbihX5unfTgztQKA7/dCZiSE0zMVzM6VtzyA\nN6hoHnjc+s53voNyuYxvf/vb+OhHP4r7778fn/70p/E3f/M3+L3f+z10Oh3cc889W1qUWTghrliP\nG4MsKg0JigIkOPTw1VNMR1BrdrSrH7fBs4cvI50IIRgQXe3soCVJcrYPbMDTS/rSSl2C3ydyJcHq\nRxe79zOgp9qUuNL3MrQBN5fLHXgONWLkel6+zJrWaAZ2fA8cOIADBw5c9OuPPvqoKYsxAifEFeu5\nILr4epsXYxClnvF0klMNEUMdLFnE3HKDK72ZUfCczsMQBQGjmShmFuuQFYVLe53twmtstBd07qth\nLicCR//OtH1YaeAqm9diBbVGB6OcyEz05DRnB3cPuJU5fR7pyeqcHdIjxjfQ+BHYGATvbgKrmcir\nui43dXy1PeDUw5fBYlvd+uLvh1fwXdSPZWNod2Qsld35wuH1mRTrWZp5qeNbbUjcHXK95OwgdWS0\npC5XVmYMzUbL5ZZmTngvmB1i4b7C1yHhFYyAX8SOfAxn59yT4Ma7hy9D67S41FGAt7Sw9RjLuDu6\nuMyp1AFQPwPzHrE063RlNFpd7gpftz+H9NQ5tDJjeCW9reoACVzOZEsz1xW+TogrXs2u4gg6Xdk1\nL36nBIi4vdPiBC0X0Lc0c8u//9XwKnUAVJ17V1aw5AFLM6bl5+3zMBINIBz0Yc7lnUYAqLLUNs4O\nH4BqLRcJ+VwfYqG9Fzh+P/fT28zZC9cVvk7r+ALA7nHVEu6JZ09D1vkkOxWn+ChnE2H4fYJrpQ5V\nhxS+49kYAGBmka8pb6PgVeoAAIXe4c+tnwE9WngFZ0WXIAhq53254Yrn/yCYh28szJ/UQRAE5JMR\nzJcaF+QVuI1yvQ0BQJzDrjvDbC9f9xW+Duk26rn16lHsGU/g2aOz+Nt/Oun4D51TpA6iKCCfimB2\nyZ0Pukq9DZ8omOJJaSTFTAQC3NzxlSAKAqIcvuy9FJlb4TA4gVFIR9HuyKZNsfMCj+EVenKpCNqS\nrMmT3EilLiEWCUA0wTPaKIIBHxKxIBW+w+KUuGI9oaAPD/zu9ZjIx/DTX03h+0+9ZfeStgXPHa7V\nFNNR1Fsd1HpXcG6iUlcHeXiaYF+LgN+HXCqMaZdqHCv1NuLRAJeOFUzuM7vk/sKXt9Q2Pf0IdXd+\nBhhVjjW+gDcG3Cr1Nve3gIC6F4ulpim3IK4rfJ1yzb6aeCSA//1f3YBCOoJ/OHgaTzx72u4lbZlS\nrY1Y2M9VKs96uHmwpNKQHPGAA1Rnh3KtjVrTfZ2WModxxYyCRwouoD/UE+dwL5iX76zLO++1BtP4\n8nf7Abjfy7cry6g1O45oDJrp5ct/ZbJJyrU2oiE/An7n/WjJeAj/9vduQHokhP/nZ2/iZy9O2b2k\nLVGqtpDkPLyCUXSpl6k6wd7hcqBqLZivp9uCLKQO3/sQjwQQC/s9MVjFpA4jEf72wiuSkxrnHd98\nSu34utXLt9o7eDihIdLX+Rr/mXBedbgBpVrbcd1ePblkBP/2927ASDSAR398As8enbF7SZui01VP\nlLzrexmFjDuvep3i6MAYc6mzQ8UBw7aFdBTzKw3Isvt07np4HW4D+kOGbu+8867x1SzNXHoQrNT4\ndZhZjZmWZq4qfJ0WV7weY9kYPvPhGxAO+fGf//4YXnpjwe4lDY3Thgvd2vHVLLQ47G6txVjP2WF6\nyV3ODk44gBQzEXS6imsDRBi82pkBQCoeRDAgur7jy7OdGdAvttxqaeaEGHtG1sQQC1cVvk6LKx7E\nrtERfPp3r4NPFPDt//kajp9etntJQ+E0jXUmEYbf574XToXjl/xaMC9ft0kdNHtFjjssXtGXssKX\nx6JLEAQUUlHMrrjTYYbBs50ZoA7aJuPmuQnYTf+9wO/ziNH38qXCdyBOchMYhssnUvjUb++Doij4\nj//vK3jrfNnuJW2IU6zMGKIgIJ8KY3bZXS+cCseDPGsx0tOauk3q4IRnUtEj1+yVhoRgQEQo4LN7\nKWtSTEfQanddbaVVa0oIBX1cDz7nUxEslVuuSVLV44QbKEbWxBALfv/1bQEnhldsxLWXZvGHv3kN\n2lIX/8f//RLOzVftXtJAnPCiX00xHUWj1dFOw26g/4Bzxj4IgoCxbAzzKw1XvXC0feCwy8goZDzS\n8a1LfO+DBxw2ag0JcU67vYx8MgxZUbBUcV+aYdlBGt9QwIdENEBSh41wYlzxMOy/soB/c+9VqDU7\n+A//4yWuH4xaxzfunD0o9l78cy4acKs6oOBazWg2iq6suEpfp2nqOH4muT26m1FtSIhzrHn3grND\ntdnhUmqix80Dbk6TwGWTESyWjffydVXh68aOL+P268bwkfdfjlK1jX//31/CMqen0XKVf03jaoou\njG112gMO6Ds7nF9wzz70Nb787gOzNHPTv//VtKUuWlKXa+lPPz7afQUXoA6ft9pdbq3MGLneUJWb\nDuCM/nCbM97PuWQYna7xXr7uKnwdpi/dLHfdNIkP3b4bC6Um/v1/f1H7R8wTpZpakDvFxxdwp7OD\n0x5wQN/ZYcZFzg5OkZwU0hFXW5ppjg4cdxvdnt5W49zRgcG8fN044FapSxAAxDkNEFmNWQNurix8\nndRt3Cy/cdsluPumSUwv1vHfnnzd7uVcRLnWhiDw/YJZTcGFV739B5xz9sGNXr7lWhsBv4hwkM+B\nKkYxHVUtzSrue9kDfMcVM1IjIfh9oms7vtoe8K7xTbm74xuLBOATnVH69b18jd0LZ/z0Q+I0K62t\nIAgCPvy+y7CzGMeho7M4O8fXsFup1kYiGoQoCnYvZWjSiRACftFVIRbsAeekfcglw/D7BFcVvpV6\nG4loAILA9z5o0d0uLbqY9IdnqYMoCCikI5hzmcMMo8axnZyeVDwEnyi4Mr2tUndOjD1gnpevqwpf\nJ8cVbwZREPDbd+yBAuB/PvWW3cu5ACcm54mCgEIqgtnlumteOJW6xHV3ay18oohiOoqZpZor9kFR\nFJTrEvcyB8D9g1VOGfYspCJotDpad9RN8B5XzBBFAblk2JSoXDuRZQW1Bt/OJqsxK73NVRWiE4uu\nrbLv0gwun0jipTcW8OZUye7lAABaUhfNdteRGutCOoKmSzw0tQecg072jNFsFI1Wl9vhzc3QbHch\ndWRHPJO0Ac8l93Tb9fAcXqHHzQeQWoNpfPmWOgBALhVBpS6h2e7YvRTDqDYkKOB/3kBPNmGOl69r\nCl+3xBUPiyAI+O07LgUAfJ+Trq+ThwuLGfe8+GtN5z3gGFfuTAMAfvbSeZtXsn0qDhioYri54AL0\nEd5870XRxfvAOr5xzju+gN7SzD1yBydYK64mFPRhxAQvX9cUvm6KKx6WvTvTuHZ3BsdOL+PY20t2\nL8fRGms3vXCclM6zmtuvG0MiGsA/v3AW9aazu++VmnNeNPFIANGQey3NtMEqzg+DBRdaKzKc0nUH\n1BALAJh3kdyh7BC5z2pyybDhXr6uKXydmBhmBP+brutrty7SyQEibnrh9K3MnPWAA9S0ng+8ayca\nrS7++YVzdi9nW/Q9fPn/PAi9wSq3Wpo5wdUB0HXeXego4BQ7M0CVOgBw1YCbU98L2WTEcC9f9xS+\nLg6vGMTusQRuvCKPN8+XcfjorK1rKfc8fBMOSm1jFF001d6PyXXePgDAe27YgVjYj388fNbRGjun\ndd6LGfdamrG94L3wzSRURwE33DytpuYQOzNA5+XrogOIUzzFV6N5+ZaNey65pvB1crdxu3zojksh\nAHj0iWOGR/ttBi2uOOac8ApGaiSEkWgAr761aLhZttU4wbppEJGQH3fdNIlas4Ofvjhl93K2jNNu\noQop98h9VlNrSAgHfdw7/vhEEblUxJ170JMuRR2g8XVjelvFASmSa2GGly/fT4FN4NWOLwDsyMVw\nyzWjeHu6jMPH5mxbh9Ne9HpEQcDvvGcPWu0uHv3HE7bLRraDU6+09Nx54wQiIR9+/NwZtKWu3cvZ\nEk6SOgBAMePewrfScI69XzEdQbUhaYWiW6g1OggF+D98AEAs7Eck5HdVels/xt4ZzyOGGelt/P8L\nHBInOwoYwW+9ezd8ooD/7xdvoSvLtqyh5PA9uH3fGK7alcYrby7ikI0HiO1SdbjUAVC7Qu+/cQLl\nuoSfv+xMhwenSR3cpHPXoygKqg6y93Orw0a1ITkmKlcQBOSTYcyX3BMmog3bOuRzwDAjxMJ1ha9T\nuitGU0hFcPe7dmF2uYGnX52xZQ3lWhs+UUDMARqutRAEAf/6nr0I+EX8tydPOtZEvn+yd9YDbjV3\n7Z9EKODDj547A6ljz2FuO/Q77854Jrm14GpLMqSOjLhDDoJFF0aoA6rUgffwCj25VARtSXaFtzvQ\nP4g7YbhQT67n5Tu1UDPsa7qm8HWylZZR/Ku7rkDAL+KHT5+ypVAo1dpIxoPcx7MOopCO4kPv3o1K\nXcL/+OfX7V7OlnBawbUeI9Eg3vuOHViutPD0a9N2L2fTlGsSIiFnXO0Cqs1RJOR3xYCnnkpD/Tw4\nRerQP4C4p/Pe6cpotruOKrrcNuBWaUiIhf3w+5zxPGKEgj7snUzhjXMlnJ2rGvI1nfU3MACvxBUP\nIpuM4P3vnMBSuYWfvWTtUJCiKGpynsOLLQC4+6ZJ7CzG8fRrMzhyyn5/5M1SqTtjkGcYPnDzJPw+\nEf/r4Gl0us7q+lbqbUcdPpil2dxyw9YhWaOpOuwGxI2d9zqzMnPQbaDbBtyc9jzS84F37QQA/PjQ\nGUO+nvPfjD28FFc8iHtv2Ylw0Id/eOZttNrWDQU1Wmo8q1P1vXp8ooh/c+9VEAUB//VHxy39ezQC\n9QHnjJf8RiTjIfyL68exUGriOZvt+jaDrCio1CXHHQSL6Qg6XRnLZedHRjOqDrEyY2QTYYiCgFmX\nFFyAs8IrGCy9bd4FA26yrKBad47OfTXX7cliLBvFc0dnsWSArZkrCl+vxRUPYiQaxN03TaJcl/Dk\nC2ct+75sgj3pQA/ftdg1OoIP3DyJhVITP/jlKbuXMzRKr+Byip5xGO69ZSd8ooC/P3jaMeEK9WYH\nsqI47kVT0PSl7rlmd5q9n98nIpcMu6rjq8UVO6rwdY/UoergGHtAdV36wM070ZUVPGlAsJErCl8v\nxhUP4gM370Qs7McTz56xzBKnVO2FVzjQw3c9fvP23SikIvjx4TN4e6Zs93KGotHqois7r+AaRCYR\nxm37xjC7VMfh485w23CqtZ+bglwYVQdGtRbSEZRrbTRazg1w0VNrMKmDc/aA2Wi5QergNIeZtbj1\nmiISsSB+/tLUtj8Xrih8nfqSMYtIyI9/eesu1Fsd/Og5YzQxG+F0K7O1CAV8+Nf37IWiAP/lfx13\nhMa02nCmZc1G/Mtbd0EUBPz9wbcdoT916oChGx0FKg6JK9bjNp0va8A4SeMb8PuQigdd4eVbdYG3\ne8Dvw503TqDR6uLnL23P4tIdha+HwyvW433vnEAyHsSTz5/TilIzcWPhCwBXXZLB7deN4cxcFf94\n2DrpyFZxaizlRhRSEdxyTRFT8zW8eHLB7uVsiFM7LAWt4+seqUPVkYVv7wDigm4j0I8rdpLGF1At\nzRbLTUc0PQbhlvfCe96xA6GAD//0/Nlt7clQhe/LL7+Mj370owCAY8eO4Y477sD999+P+++/H088\n8cSWv7lReDmueD1CAR9+49cuQUvq4h8Ovm3693Nz1/3D770MiVgQP/jlKcwu8V0QOLXgGoYP3roL\nAoC/f+Zt7k3lnZbaxhiJBhAJ+VzTaQT63a64g/bCbZZmVQdqfAEgn4xAUYClirOHPcsu6PgC6r+f\nd183huVKa1uytw0L3+9+97t4+OGHIUnqP9zXXnsNH//4x/G9730P3/ve93Dvvfdu+ZsbBXV81+aO\n68eRS4bxsxenDI37Wwu3dnwB9cP2B3ddAakj47/+6DjXRZd2xe6i4TbGWDaG/VcWcHq2glff4ttm\nrh+o46wXjSAIKKSimFtxj6WZ5ijgoGt2t2mt+xpf5+wB0B9wc7rO1y0dXwC466ZJCALwo+fObPld\nvGHhu2vXLnzrW9/S/veRI0fws5/9DPfddx8OHDiAet3+E6nX44rXw+8T8Vu370anq+DvnjHPmWCp\n3MSvTswjFPQhPeKe4TY9+/fmccNlORw/s4JfvMJvmIJbUtvW49d/7RIAwN89c4rzA0hvHxz4TCpm\nIpA6MlYc3uViVBoSoiFnGffnkhEIcKHG12Ed38nCCADgFw6NTWf0GyLO+vtfi3wqgv17Czg7V8XR\n08tb+hobPgnuuusu+Hw+7X9ff/3/3959h0ddZ4sff0/LpEx6JZ10ElpCRzrSi4Ci7iK4a1u9+8ju\n8njX60/du967Kvf67LNru+66bMOCuqAIiIggEOk9kAChJcQklPQyaZOZ+f0REiMESJnkO+W8/tln\nccpHjjNzvp/v+ZwzhF//+te8//77REVF8eabb3brjW3J1ccV386YtDD6BXqy+8SVXrlNb7FaWbXp\nFHWNzfxoaiJuOs2dn+SAVCoVD01Pwt1NwyffnKey1j6Tgpq227qO/wXXkagQA+mJQVwoquZMN7/0\n+oKjljpA+zpf50i6autNDvd50GnVBPi4c6W8zq4v8DrL6IC77gDpSUHEhftw8PQ1hxxm1MrZOl/N\nbB1o0c3D+13+r/Duu+/G27vlKmjatGn87ne/u+Nz/P090Wp7LyGquz5gID42AF0vvo8jCA72vunP\nHp6bxsp/HmLdt3m8+Mgo1GrbjRT+dMc5zhRUMnpgGIumJjn0uOI7CQ725qfz0nhn3QnWZebxHw+P\nuOXjlGK6Xu8fG+lPcKCXYuvoTUvnpHLsj5lsOVTIhBExt3ycknFoMFlQqSA2OgCNDT9vfSEhOgD2\nXqLOZOnx36GSMYCWvtbGehNhgV6Kr6WrBiUGsfNIIYUVDWQkh3T7dezh37uh2YLeTUN4Pz+ll9Jl\nyx9IZ8Ufd7Fm+znefGZytzd3lP4+AugfHeBQdz5uJTjYm4HxeWRfKKPWZKF/uG+Xnt/lxPfRRx/l\nxRdfZNCgQezbt4+0tLQ7Pqeilwv0yyrr8dRrqXSSgwDdFRzsTUlJzU1/nhhmYECMP4dPX+XdT7O4\nd2K8Td6v4GoNqzefxtfLjR9NSaC01DZztO3ZsIRAEiJ92XOimK/2XCQjKfgH//xWMegrpdc/A031\nTZSUOPZJ5Fvxc9cyMC6AkxdK2XP0O5Kibv4xVToOZZX1GDx0lJc53mfC8/qo65wLpQxLCOz26ygd\nA4D6xmaazVbctWrF19JVEwf1Y+eRQj7eeoaoAI9uvYY9xACgqqYRL3etXaylq3z0GqYMi2Tb4ULe\n25TD/HH9u/waSsehvKolR6ooNyq2Blubmh5B9oUyPvrqDI/NTb3pn9/uQqPLqf9vf/tbXnnlFZYt\nW8axY8d46qmnuvoSNifjim9PpVLx1IKBhPh58MW+S+zPudLj12wymXl34ynMFiuPzhngFEXznaFW\nqfjJzBS0GhXvb81tm0FvL2rqmtBq1Li7Ofedj3nXa3037ctXchm3VFPX5JBlDgCx/bzx99azL/tK\n28EwR+VoU9vaiwnzZkCMP6fyKyi46ngJY3vGBpNDDa+40cLxcfga3Ni075JDtvpzpjH2rQb1YIxx\npxLfiIgIPvroIwBSU1NZs2YNq1ev5ve//z1eXsreTpVxxZ1j8NCx/L7BeOg1/G3zGS4W92wS2b92\nXqC41MjUYZEMjOv+rpAjCg/yYu7YWCprm/jg67OYmu1nZ7Xm+jx2Zy45AUiM9CMl2o/si+XkXbav\nqXrNZgvGhmaH/aHRatRMHxFFo8nMNzYYD6qk76e2Oebvw4yR12sZD/bNIKLe0Gy2UN9odrj63vY8\n9Fp+NDWRZrOFD7aedai6a4vVSm19s9NtTvVkjLHDF3scO9fSzL71QIa4tfAgL342fyBmi4U3153o\n8lVSq5MXy9h+pJDwIC8WT7JN2YSjmT06hshgA/tyrvDCqv0cyb1mF1+GrYmvK2jb9d2br+g6blRb\n7/itgyYODcfLXcu2I4U0Xj9D4YhaJxk64o4vwKC4ACKCvTh4+lq3v6+VVnd9vKyjdXS40YiUENJi\n/cnOK+dIbonSy+m0uoZmLFbnGmPfakxaWLfGGDt04ttoMvPxN+fQalTMHnPrQy7ie4PjA3lgcgJV\nxibeXHeSRlPXftSq65r42xen0ahVPDEv1Wm7ONyJVqPm2SXpTB8RRXl1I29/ls3/fniM84WViq2p\nyWSm0WR2ipY1nZES4098hA/HzpWSf8V+dn2docuMu5uWqcMiqa03kXnCcVs5tZ5md7TBCa1UKhUz\nRrTsan192P4nR3bk+44OjhmDVi2dfZLRatSs2X6uS4mWklq/jxz5QvxWdFp1t8YYO3Tiu3nfJcqr\nG5k+Irptxry4s2kjohg/uB+Xrtbw1y9Od3qn0mq18s8vz1BlbGLRxDiiQ5U/LawkL3cdD05N5L8f\nG8XQhCByv6tkxR938bcvTivS7syZmpR3hkqlYtH4OAD+uuk0TV28iOst3/fwdewf+qnDInHTqvnq\nYIHDjmxt23130MQXYFRqKL4GN3YdL7a7MwWd0Tq8wlEvPtoLDfBk9uhoKmoa+Xx37/XGt6UaJ5na\ndivdGWPcJ4lvb/SPLams58sDBfgZ3Jg7VnZ7u0KlUrF0RjJJkb4cPnONjXvyO/W8b09c5ti5UlKi\n/ZgxIrp3F+lAwgI8WX7fYJ55cCgxYT7sPnmZ5/68n4178/s0Gat14IM83TUgNoCpGZEUlRpZu+uC\n0ssBHLuHb3venm5MGBJOeXUjB05dVXo53eIMnwmdVs204VE0NJnZlVWk9HK6rLZteIXj1vi2N2dM\nDCH+Hmw7XOgQhw6dfUOkO2OM+yTxfe7d/Wy1cXH+x9+cp9ls4f7JCbi7OccHqi9pNWr+bdEgAn3c\nWb87747/wVwtr2PNtnN46LU8NjfVpr2AnUVqbAB/XDGJh2cmo9ep+SzzIs//ZT/7T13pk/rf1kNe\nrnbQ877J8fQL9GTb4UKy88qUXg41TnRrccbIaDRqFZv3X3LIEcaOXurQatLQcPRuGrYdLnS43Xdn\nKXVopdNqeGh6Eharlfe25tr956K1s4mjjU/viq6OMe6TxNfHy41/7bzQ404CrXLyyjl6toTESF9G\npYba5DVdkY+nG7+4bzB6Nw1/3XSKS1c6vnptNlt4d+MpGk1mls1IJsDHvY9X6jg0ahUTh0bw6s/G\nMGt0NFXGJt7dcIpX3jvChaKqXnvfamMT63ZdQK/TuNxnQq/T8MS8NDRqFX/ddLrt1p5SqtumJDn+\nD02grzujU0O5XFZH1vWDxI6kbcfXwRNfT3cdEwaHU1HjeLvvxuvlGc6S+AIM7B/I8JQQLhRVs9uO\nR9hD+1IHx78Qv5VgPw9GpHR+jHGfJL5PzEvFYrHyp8+zqWvoWV/IZrOFD7edRaWCJdOce1JYX4gM\nMfDEvFRMzRbeWHeiw9rUTXvzybtczZi0UJdLqrrLQ69l8aQEfvf4aIYnB3OhuJqX3zvCqk2nemXH\nZs32cxgbmlk0MY4gX9frcBIT5s2iCXFUGZtYvSVX0Q4bzvZDM3N0SynZF/sv2UXnkq6orWtChXMk\nXdNGRKJWqfjqYOd2tezF9xcfznVn9kdTE9G7afjXjvOKX2zfTo2xtdTB8T8Dt9PW+q8TY4z7JPFN\njQ1gzthYSqsa+MeXZ3r0of3mSCGXy+qYODTC5Q9X2Up6YjD3ToqnoqaRtz49ian5+7rU80VVbNyb\nT6CPniXTkhVcpWMK8fPg3xYO4j+WZBAdamBv9hU+zbxo0/fIOl/KgVNXiQv3YWpGpE1f25HMGBlN\ncpQfR86WsE3Bvqett9ed5dZiRJAX6YlBXCyuJrdAua4l3VFTb8LLQ+cUpVlBvh6MGBBCYYmRnPxy\npZfTaca2Gl/n+Dy08vfWs3B8HMaGZv61wz7OF3Skpt65LsRvpX8/H5Kj/MjOK+e7a7efmNlnXR3u\nGRfbcpgqt4Sdx7pXoF9lbOLzPXl4uWtZNCHOxit0bbNGRTMmLZSLxdX8/frFSX1jM3/ZmANWeGxu\nKp4O3IBcaUlRfjz74wxC/T3YcqCAExdsc9u4vrGZ97bmolGr+MmsFKf4ge8utVrFY3NT8dBreXf9\nSa4pNGGpuq4JjVqFh955Pi+zr+/6bt5/SeGVdE1tvcnhyxzam3l9V2tLJ3a17IWz1fi2N3VYBNEh\nBnafvMzZ7+zvotDUbOZUfgUGD51TlF7dycxRnRv40meJr0at5on5aRg8dKzZfr5bpyHX7bxAfaOZ\nhRPinOrLzB6oVC2JU1y4D/tzrrJ5/yXWbDtHSWUDs8fEkBztr/QSHZ6HXstTCwai1ahZtem0TRrS\nf5p5kfLqxraBGq4u0NedpTOSaGgy85eNpzBb+vYgkMVqpay6AR8vN6cqw4qP8G2ZlJdXfsuzAPbG\nYrVirG926I4ON3LEMcbf1/g6z4VgK41azdIZLXdC39uaa3cHDw+fKaG23sT4wf3QqB26e22ntB9j\nfDt9+jcR4OPOo3MG0Gy28M7nOV1qAH2xuJrdJy8TGWxg4tDwXlyl69JpNTy9aBD+3nrW7brI7pOX\niQn15p5x/ZVemtOIDvXmwakJ1NabeHdDTo8Ss/NFVXxzpJB+gZ7MvT7FTMDo1DAmpkdyobiaKyaq\nEgAAIABJREFUTXv7dofyaG4JVbVNpMY634Vi667vlwccY9e3vvH6xCon2yRprWXc4iBjjGvrTbhp\n1U477Cg+wpcJQ8IpKjGy7bB9jfj+5lghKmBieoTSS+kTapWKmdfHGN/2cX20njZDEoKYOTKaq+V1\nvLe1c4dQLFYrH3ydC8CSaYkuceWiFF+DnuX3DsZNp8ZNq+aJ+aloNfL3bUuT0yMYlhzM2cIqNuzO\n79ZrNJstLfXywMMzU9BpJUbtPXnvYAJ99Gzck9+r3TTas1qtbNqbjwqYMya2T96zL6X1DyA6xMCh\nM9e4qlAZSVfUOkkrsxu1jTE+5RhjjI3X66yd2X2T4jF46Ph8d57dxOTSlRouFFUzKD6QED/XOfA8\nOi0MX8Pt65kV+bVcNDGu7Zb67pN3bgWy5+Rl8i7XMHJAiNxy7wMxYd68+PAInl82nH6BXkovx+mo\nVCp+OiuFIF93Nu3N53Q3Dqps3neJ4lIjk9MjSIry64VVOjaDh47H5qZitVr5y8ZTfTJeNOtCGQXX\nahkxIISwAOebJKlStYyGt1odo8a0xgmGV3SkdYyxxeoYY4yNDc1OWd/bnsFDx/2TE2g0mflw2zml\nlwPAjutnqSa7yG5vK51Wzb8/mH7bxyiS+Go1ap6cn4aHXssHX5+lqNR4y8fWNTSzbucF3HRq7p+c\n0IerdG0RQV5EhUjNaG/xdNfxs3vSUKtVvLvxFFXGzrfDKSo1snFvPv7eeu6dGN+Lq3RsydH+zBwd\nzbXKej7a3rs/Rq27vYBTl50MTw4hxM+DPScvKzKWuytad3y9PZzvNLujjDE2WyzUNzY7XSuzjtw1\nKIykSF+Oni3h2LkSRddS12Bi/6krBPm6MyguUNG1KCE86PYbdordHw3y8+CR2Sk0mSz86fNsGm8x\n2nXDnjyq60zMGRMrgxOEU4kP9+XeifFUGZtYtTGnUxOALFYr//zyDGaLlYemJ0mnjTtYOD6O6FAD\n3564zJHc3vsxOnWpgovF1WQkBTv1IUO1WsXM0dE0m618fci+dxtb2zg5W6kDOM4Y4zonHF5xKyqV\niqUzktFqVPx98xkqapS7MNyTfYUmk4XJ6REu3ennVhQtDByWHMKUjAiKSoys6eD2QFGpke1HCgn2\nc2fmyCgFVihE75o+MorB8YHk5FfwZSdaRe08VsT5oiqGp4SQnhjcByt0bFqNmifmpaHTqvnnlt77\nMdq4Jx+AuWNjeuX17cldA8Pw9XJjx7GiHg8k6k21Tlrq0MoRxhi3xsDZa3xbRQQbuH/y94eXLXc4\nZNUbrFYrO44WodWoGTe4X5+/vyNQ/ETMA1MSiA4xkJlVzP5TV9r+3Gq1smbbWcwWKw9OTUSndc4T\nocK1qVUqHp0zAH9vPZ9l5t22F2R5dQNrd17AU69lyd2JfbhKxxYe5MUDU1p+jP62+XSndta7Ireg\ngrPfVTI4PpDYMB+bvrY90mk1TB/Rstv4zVH73W38vtTBOZMuRxhj3NbKzAVKHVpNHRZJemIQud9V\nsmFPXp+//+lLFVwpr2NESojTD63oLsUTX51Ww5MLBqJ30/DPLblcLW85LXzsXCmn8isY2D+AoQlB\nCq9SiN7j7enGz+anYcXKnzfktO2StGe1Wnnvq1wamsw8MCUBX4NegZU6rsnpEQyKCyQnr5xvjti2\n5dCmfS079c5c23ujSekReOi1fH34O5puUaamNGc93NaevY8xbh1eYXCBUodWKpWKR+YMINDHnY17\n8jl9qaJP33/H9YvRKRmudaitKxRPfAHCAjx5eEYyjU1m3vk8m7oGEx9tP4dGreJHdyc6VSN4ITqS\nFOXHgvFxVNQ08rcvTt/0I3bozDWyLpQxIMZfbl91g0ql4pHZKRg8dHyy4wKFJbcfadlZF4uryckr\nZ0CMPwkRvjZ5TUfgodcyJSOCmjpTpzrzKMFZ25m194Mxxnn2N8bYWccV34mXu44n2w4v51DZR/W+\n5dUNHDtXSnSogbhw57/71F12kfhCS++18YP7UXC1lpf+cYjSqgamDY+SdlrCZcwZHcOAGH+Ony/l\n63aN0GvrTXz49Vl0WjXLZibLhWA3+Rr0/HR2Cs1mC//3WbZNWpy1dnKY50K7va3uHh6FTqtmy4GC\nPp+Q1xm19SbUKucaHd2RmXY80KK23nmntt1JfIQviybGUVXbxB/WHLV5iVVHMrOKsVitTMmIlN+J\n27CbxBfgx9OSCA/yoqSyAV8vN+bdFav0koToM2q1iifmpeLjqeNfO86Td7kagE++OU91nYkF4/oT\n6u98/WH7UnpiMDNGRnGlvI6/bb55Z70rCq7WcPx8KQmRviRHu14vZV8vN8YN7kdpVQMHT19Tejk3\nqak3YfDQonbyBMCexxi3lTq42I5vqxkjoxkUF8jR3Gu93vu62Wxh1/FiPPRaRg0I7dX3cnR2lfjq\ndRqeWjCQ+HAfHp6V4vRX6kLcyNeg5/H5aVgsVt5Zn83hM9fYffIy0aEGpktnE5u4b1I8KdF+HMkt\n6dEuWetu7/yxsS67uzJzZDRqlYrN+y/ZXY1pbV0TBhc53GOvY4zbSh1cqMa3PbVKxaNzBxDg486n\nuy5yvrD3pkgeO1dKlbGJuwaFoXeTZgC3Y1eJL7QMTnh+2XA50CZcVlpsAHPGxlBa1cD/rc9GrVLx\n01kDZFS3jWjUan52z0D8vfWs3XmhW5PzikqNHMktITbMm7T+Ab2wSscQ7OfByNQQikqMnLhQpvRy\n2lgsVuoaml1mp7H9GOMr5fYzTvr7rg6uEYeO+Hi68cxDw7Bi5U8bsjs8vGwLO462lMe52qS27pBf\nUiHs0D3j+pMY2XJYavrIKGLCvBVekXPx9XLjqQUDUatU/GlDDuXVDV16/hf78rHSUtvrqru9rWaP\nauldvGFPXp/UMXaGscGEFedtZXYjlUrFgnH9sVitvL81125231tLHVyxxre9QfFB3DOuP+XVHR9e\n7qmiUiNnCioZEOMv56I6QRJfIeyQRq3m6XsH88jsASwcH6f0cpxSQoQvP7o7kZo6E29/lo2puXMH\ntK5W1HHg1FUigw0MSZQ7U5EhBkakhJB3uYaDdtJP1tmHV3QkIymYQXGBnMqvsJua69p6E25aNW46\nufU+d0xs2+HlbYdt21Jxp7Qw6xJJfIWwUwYPHeMG90OnlY9pb5mcHsGYtDDyLlezZvvN0yM7snnf\nJazWliltzn5wqrMWT4pHq1GzdteFW46f70s1LtDK7EYqlYol05PQadV8tP1c27hgJRkbTC5d5tCe\nWq3i8XmpeHvq+KTd4eWeqm9sZk/2Zfy99QyVC/FOkV9UIYTLUqlULJuZTFSIgZ3Hith94vY9aUur\n6tmbfYWwAE+GJ4f00SrtX5CfB9NGRFJe3cjWQ98pvZy2HV9XKXVoFeLnwdwxMVQZm1j/7UWll4Ox\nvtnlyxza8zPoeXxeKmaLlT99nm2Ti5P9p67S0GRm4tBwOQfSSfK3JIRwaXqdhp8vHIinXsvqr3K5\ndOXWLaG+PFCA2WJt2e1Vy25ve3PHxOLtqWPzvktU1fZNw/5bccVSh1YzR8UQGuDJ9qOFnC+89Qj0\n3maxWKlrbHbZjg63MrB/IHPGxFBS2cA/t5zpUb2v1Wplx9FCNGoVE4aE23CVzk0SXyGEywvx9+Tx\neak0my28/dnJDk9eV9Q08m3WZYJ83RmVKn0yb+Sh17JwfByNJjOfKbzb2Dopy5VKHVrptGqWTk/C\naoV31mVhsShz0K3K2AS4dkeHW1kwvj8Jkb4cOnONXVnF3X6dc4VVFJYYyUgKxk/G2HeaJL5CCAEM\nSQhi/l2xlFY18O6GnJsShq8OFtBstjBnTIzcUryF8UP6ERHkxbdZl8kr7r2epbdjtVo5lHsNjVpF\nbD/XHNuaGhvAqNRQzhZU9iix6olDp1sOOrrSKO/O0qjVPDk/DS93LWu2nev24JEdx+RQW3fIt7cQ\nQlw3f1x/BsUFkp1Xzue789r+vLquiZ3HivD31nPXoH4KrtC+adRqHpiSgBVY9Xm2Im21Ll6upqjE\nSHpSMD4uMsCiIw9OScDTXcu6nRfadl/7itVqZefxYrQaFXcNCuvT93YUAT7uPDonFVOzhZffO8Kn\nmRdoaOp8zW+VsYnDZ64RHuRFUpTrTY7sCUl8hRDiOrWq5eR1kK87G/fmc/x8KQBfH/qOpmYLs0fH\noNXI1+btDIwLZFBcICfOl5KlwFCLb6/vcE4Y4toXKL4GPUtnDaCusZl/7Tjfp+999rtKrpTXMTw5\nBG8Xvvi4k6GJQfzs+s7vpr2XeO7P+/n2RHGn+mF/m1WM2WJlcnqEy/cS7yr5BhdCiHYMHjp+vnAQ\nOq2av2w8Rd7larYfKcTHy43xg107meqs+6ckoFar+OSb8zSbO9cf2RbqG5s5cOoagT7upMa67kS9\nVrPG9icmzJu92VfILajos/fdebzl4mPiUDlwdSejUkN59YkxzL8rlvrGZv6++Qz/9Y9Dt42XxWJl\n5/Ei9DoNYwfKjnpXSeIrhBA3iAnzZtmMZOobm3n1/aM0NJmZOTJaGvF3UkSQFzNGx3ClvI6d1+sQ\n+8KhM9doNJkZP6Sf9FgGNGoVy2YkowJWf5XbJxchNXVNHMm9Rr9AT7kF30l6Nw0LxsfxyhOjGZ0W\nSsHVWv7nw2O8/elJrlXcPII660Ip5dWNjBkYhode2sV1lSS+QgjRgbsG9WNyegTNZgsGDx2T0mX3\nqiuWzEjBQ6/h8915GBtu7pLRGzKzilGpYJzUYbfp38+HSekRXC6r46uDBb3+fntOXqHZbGXiULkF\n31UBPu48MS+NF5YNJz7ChyNnS3hh1QE+2XH+Bz1/d1yf1DY5XQ61dUenEt+srCyWLl0KQEFBAT/+\n8Y956KGHeOmll3p1cUIIoaQHpyYyOT2CZTOScXeTnZWu8DXomTs2FmNDMxv35Pf6+xVeq+VicTWD\n4gIJ8HHv9fdzJPdOjMPHU8fGPfmUVtb32vtYrVZ2HS9Cq1HLLfgeiAv34f89NIwn70nD18uNLQcK\neO7dfew4VsTlMiPZeeUkRvoSFWJQeqkO6Y6J76pVq3jhhRcwmVqu2F999VVWrFjB+++/j8ViYdu2\nbb2+SCGEUIJOq2bpjGSGp8iUtu64e1gkQb7ubD9SyNXym2/Z2lLmiZa60vGDZWf+Rp7uOh6YkkhT\ns4UPt3VuNHd3nLlUwdWKekakhLhkD2VbUqlUjBwQysuPj2bRhDiami2891UuL/3jEACTpYVZt90x\n8Y2JieHtt99u+/85OTkMHz4cgAkTJrBv377eW50QQgiHpdNqWDw5AbPFyr92Xui19zE1m9mXfQUf\nLzeGJAT22vs4stFpoaRE+3H8fCnHzpX0ynu0HmqTsiDbcdNpmDs2llefGM24wf0wmSz4GtwYliQX\n4911x8R32rRpaDTfH+ho35fRy8uLmpruNV4WQgjh/IYnB5MQ6cvRsyW91lng6NlSjA3N3DUoTNrN\n3YJKpWLpjGQ0ahUffn2WxiazTV+/ytjE0bMlRAR5ydCKXuBn0PPI7AG8/MRonl86DJ1W/jvvri7/\nzanbTSwyGo34+LjmZBwhhBB3plKpeHBKIgAfbT/fqR6lXZXZ2rtXyhxuq1+gFzNHRVNW3ciGvXl3\nfkIX7D7R0ld24tBwOdTWi8ICPAny9VB6GQ6ty6c1UlNTOXToECNGjCAzM5PRo0ff8Tn+/p5otdIG\nqC8EB3srvQSXJzGwDxIH5bXGIDjYm0kZV9h5tJDsS5VMHRFts/e4XGrk9KUKBsYHMjA51Gav6yxu\n/Bz8ZP5ADuWWsPXgd8wZH09MWM83rywWK3uyr+Cm0zBvUqLU93ZAvo/sR5cT32effZYXX3wRk8lE\nfHw8M2fOvONzKjroQydsLzjYm5ISKT1RksTAPkgclHdjDOaMimbPiWL+sSmH5HAf9G622Qz5fFdL\n7fCYAaES8xvc6nPw4JQE3lh7gjc+OsazP07v8Q5tdl4ZV8rquGtQGPW1DdTXNvTo9ZyNfB/1vdtd\naHQq8Y2IiOCjjz4CIDY2lvfee882KxNCCOESAn3dmTEymk1789lysIB7xvXv8WuaLRZ2n7yMp17L\nsORgG6zSNQxNCCI9MYhj50rZcayIKRmRPXq9XcdaD7VJpwFh/6Q6WgghRJ+YPToaXy83vjxwiYqa\nxh6/3skL5VTVNjEmLUym6nXRQ9OTMXjo+Gj7eQqudn83srK2kWPnSokKMRDXT878CPsnia8QQog+\n4e6mZeGEOJpMFtbuPN/j12s91DZ+iExq6yp/bz2PzR1As9nCO5/nUN/YfOcndeDbE5exWK1MkkNt\nwkFI4iuEEKLPjBvUj5hQb/blXGXX8aJuv05FTSNZF0qJDfMmOlQODnXH4PggZo6K5mp5He9tzf1B\nu9LOsFisZB4vRq/TMDpNJrUJxyCJrxBCiD6jVqt4auFADB463t96ttu9ffecvIzVChOGSAuznlg0\nIY74cB/251xl98nLXXpudl45ZdUNjEoNwUMvI72FY5DEVwghRJ8K8fPg5wsHAvD2Z9mUVNZ36fkW\nq5VvTxTjplMzKlVamPWEVqPmZ/PT8NRr+WDrWYpKjZ1+buuO/cShcqhNOA5JfIUQQvS55Gh/Hpqe\nRG29iTfWnuhSjWnupQpKKhsYmRIqO402EOTnwU9np9DUbOFP67NpNN15qltFTSNZ58uICfWmvxxq\nEw5EEl8hhBCKmDg0gruHRVJUauTdDTlYLJ2rMd3VOqlNyhxsZlhyCFMzWmKxZtvZOz7+26xiLFYr\nE9MlBsKxSOIrhBBCMQ9MTSAt1p+sC2Wsuz6M4nZq600cPVtCv0BP4iNkp9GW7p8ST3Sogcysy+zP\nuXLLx1ksVjJPFKN30zBqgJSaCMciia8QQgjFaNRqnlwwkNAAT748UMCeOxyw2pd9hWazlQlDpH2W\nrem0Gp66ZyB6Nw3//CqXq+UdT109cbGM8upGxqRKqYlwPJL4CiGEUJSXu45f3DcYT72Wf245w/mi\nqg4fZ7W27DRq1CrGDpT2Wb0hNMCTh2cm09hk5p3PszE1W256zK5jcqhNOC5JfIUQQiguLMCTpxYM\nxGKBt9adoKyq4abHXLxcTVGJkYykYLw93RRYpWsYnRrGhCH9KLhayyc7fjhopLy6gRMXy+jfz5uY\nMOmfLByPJL5CCCHsQlr/AH50dyLVdSbeWHeChqYfdnrIPC6H2vrKj+5OIiLIi+1HCjmSW9L255lZ\nxVitstsrHJckvkIIIezGlIwIJg0N57trtfx102ks16eJ1Tc2c/D0NQJ93BkQ66/wKp2fXqfhyXvS\ncNOq+fvm05RW1mO2WMjMKsZDL4fahOOSxFcIIYTdUKlU/HhaEinRfhw5W8Ln3+YBcOjMNRpNZsYP\n6YdaDrX1iYhgA0umJVHX2MyfNuRw7GwplbVNjEkLQ++mUXp5QnSLJL5CCCHsilaj5t8WDiLYz52N\ne/M5ePoqmVnFqFQwblA/pZfnUsYN7sfotFAuFlez6otTAEySMgfhwCTxFUIIYXcMHjqW3zsYdzcN\nqzad4mJxNYPiAgnwcVd6aS5FpVKxdHoyof4eNJksxEf4EBliUHpZQnSbJL5CCCHsUkSwgZ/NT8Ns\nbqnzlUNtyvDQa3lqwUDCg7yYNzZW6eUI0SPSeVoIIYTdGpIQxE9mpXD6UgWD4wOVXo7Lig715neP\njVJ6GUL0mCS+Qggh7Nr4IeGMl91eIYQNSKmDEEIIIYRwCZL4CiGEEEIIlyCJrxBCCCGEcAmS+Aoh\nhBBCCJcgia8QQgghhHAJkvgKIYQQQgiXIImvEEIIIYRwCZL4CiGEEEIIlyCJrxBCCCGEcAmS+Aoh\nhBBCCJcgia8QQgghhHAJkvgKIYQQQgiXIImvEEIIIYRwCZL4CiGEEEIIlyCJrxBCCCGEcAmS+Aoh\nhBBCCJcgia8QQgghhHAJ2u4+cdGiRRgMBgAiIyN55ZVXbLYoIYQQQgghbK1biW9TUxMAq1evtuli\nhBBCCCGE6C3dKnU4c+YMdXV1PProo/zkJz8hKyvL1usSQgghhBDCprq14+vu7s6jjz7K4sWLyc/P\n5/HHH+err75CrZaSYSGEEEIIYZ9UVqvV2tUnNTU1YbVa0ev1ACxevJi33nqL0NBQmy9QCCGEEEII\nW+jWFu26detYuXIlAFevXsVoNBIcHGzThQkhhBBCCGFL3drxNZlMPPfccxQXF6NWq3nmmWcYOnRo\nb6xPCCGEEEIIm+hW4iuEEEIIIYSjkdNoQgghhBDCJUjiK4QQQgghXIIkvkIIIYQQwiVI4utgsrKy\nqKqqUnoZLk1iYB8kDsqTGChPYmAfJA6OQ/Pb3/72t0ovQtzZhQsX+M1vfsP+/fsxm82EhYXh6emp\n9LJcisTAPkgclCcxUJ7EwD5IHByP7Pg6iC1btjBx4kTeeust9Ho9Hh4eSi/J5UgM7IPEQXkSA+VJ\nDOyDxMHxdGtksegbZ8+eJSkpidraWoxGIyqVil/+8pf4+vqyd+9eBg8ezNKlS5VeplOTGNgHiYPy\nJAbKkxjYB4mDY5MdXzt19OhRHn/8cUwmEwaDAaPRyDfffMOSJUt49dVXWbp0KZ988gnV1dVKL9Vp\nSQzsg8RBeRID5UkM7IPEwfFJ4muHjEYjX3zxBbW1tbz22msALFu2jLNnz9LQ0ADA4MGDSU9Pp66u\nTsmlOi2JgX2QOChPYqA8iYF9kDg4Byl1sAN1dXVkZmaSkJBAQkICjY2NJCUl8c033zB37lzuv/9+\nEhISmDdvHlu3bqWmpoZz585RVFREQECA0st3ChID+yBxUJ7EQHkSA/sgcXBO0tVBYceOHePJJ59E\nrVbz5Zdf4uHhQXJyMgEBAYSEhGA0Gvn4449ZsGABGRkZeHh4sH//fgwGAy+++CLu7u5K/ys4PImB\nfZA4KE9ioDyJgX2QODgvldVqtSq9CFf2wQcf4O/vz+zZs9m2bRsnTpwgJSWF2bNntz1mzpw5/Pzn\nP2/7s+bmZrRa2ay3FYmBfZA4KE9ioDyJgX2QODgvqfHtY4WFhTz33HN88MEHFBYW0tjYyPbt2wEY\nM2YMsbGx5ObmUlZW1vacxx9/nE8//bTt/8sHq2ckBvZB4qA8iYHyJAb2QeLgOiTx7UN79uzhmWee\nYeDAgWi1WpYvX87ixYspKiri1KlTeHl5ERcXR1lZGc3NzW3PW7BgAatWrVJw5c5DYmAfJA7Kkxgo\nT2JgHyQOrkUS3z507do17r77bpYsWcJ9991HfHw8Go2GWbNm8cc//hGAoUOHUlJSgslkanueVKPY\njsRAWa1/jxIH5UkMlCcxUJZ8H7kmSXz7kIeHB5MnTwYgOzub8vJydDodDz/8MNXV1bz22mssXbqU\nsLAw/Pz82p6nUqmUWrLTkRgoq/XvUeKgPImB8iQGypLvI9ckh9t6QUlJCYcOHWLIkCFERER0+JiX\nX36ZqKgoli1bBkBjYyPZ2dlUVFRw99139+VynZLEwD7U1tZy7tw5UlNT0ev1WCwW1OofXm9LHHpX\naWkpH3/8MXfddRexsbE/+OFuJTHoXSUlJezZs4eMjAyio6M7fIzEoPc1NjayZs0aJkyYQFxcXIeH\n0SQOzk92fG3syy+/5KGHHuLkyZO8+eabbN26tcPbISaTiVmzZrF69WoeeeQRjEYjw4YNkw+WDWzb\nto1ly5Zx9OhRVq5cSWZmpsRAIVu3buWtt96isLAQ4KakFyQOvWnr1q088cQTVFdXs3HjRtavX9/h\n4yQGvaf1++j48eP87ne/Iz8/v8PHSQx6X25uLp988gmbN28GOj6MJnFwfnIE0Yaampo4cuQIK1eu\nJD09nW3btpGZmUlAQADDhw/HarWiUqmoqqris88+Izs7m4yMDFauXCnNrm3o9OnTvPLKK6Snp7Nh\nwwYOHDiAWq1m3LhxEoM+VFtby6ZNmygpKeHgwYMEBQXh6+v7g8dIHHqP1Wpl9+7dvPrqqyQnJ/Pp\np59SXFwM8IOdd4lB79q/fz8rV65kyJAh/OIXvyArK4vY2FgA+T7qYxaLhaFDh1JcXMzBgwcZOXIk\nIHFwNTLAoodqa2tZtWoVqampeHh4sHr1asxmMyNGjMDPz4/169djtVoZOHAgOp0OgJycHMrLy/n1\nr3/NokWL8PLyUvjfwrGdPn2a//3f/6WyspLIyEh27NhBUVERY8eOJTg4mKtXr3Lp0iUGDRokMehF\n7eNgMBgICQkhKCiISZMm8e233xIWFka/fv1+8ByJg221xqCiooLY2FjOnTtHVFQUoaGhnDlzhpyc\nHKZNm/aD2kSJgW21/xxERUVRWFhIcnIyZrOZP//5z6hUKsrKyoiMjGwbciAxsL3WOFRVVWEwGPDz\n82Pbtm2Eh4czdOhQPvzwQyorK0lOTm7b+ZU4uAap8e2hw4cP89///d8sW7aMe++9l5ycHJ566il+\n85vfcPjwYerr6/Hx8eHpp59Gp9NJMbyNrV+/nrVr13L//fdTUFDAqVOnePHFF1m+fDnvvPMOQUFB\nZGZmsnPnTlasWIGXl5fEoBe0j0NhYSEHDx7kH//4B1VVVfj6+vL666+j0+lYvHgxwcHBbTsswnZu\n/CxkZWXxl7/8BWjZ0XrmmWeYP38+EydOlEb7veTGGBw7doy//vWvAOTl5XH69Gn8/f3ZsGED06ZN\nY8qUKQqv2Dm1j0NRURF79+7lvffe45133mHy5MmsXbuWLVu2MG/ePJ599ln5PLgYqfHtgdaRhamp\nqezZs4e8vDzS0tJ4+eWXKS4uJiUlhRUrVlBaWkpzc7P80NtQ6/VaaWkpixYtYv78+TzwwAP4+/sT\nHBzMyJEj+f3vfw/A8OHDKS4ulmSrF3QUh8WLFxMZGUljY2NbacPChQu5dOkSx48fl8+Cjd3qsxAa\nGkpjYyPQ0q7JYDAwceJEPvjgA1atWkVtba2Sy3Yqt4pBeHg4DQ0NAPTv35/Zs2czatThzSQZAAAF\nyUlEQVQo1Go1iYmJSi7ZKXUUh/vuu4+oqCgA8vPz+dWvfoW/vz//+Z//SUFBAWVlZZL0uhiJdg94\neXkxa9Ys4uPj+eqrr1i7di3//u//zvjx4ykoKMDNzY3ly5czduxY3NzclF6uU2lNnEJCQhg+fDgA\nBw8ebLtyX758Offddx+vv/46e/bsYcyYMej1eiWX7JRuFQeTydT29221WomOjiYlJYXq6mpJem2s\nMzE4deoUu3fv5sknn8TX15cVK1ZgMBgUW7OzuV0MWssZfvnLX5KUlMTBgweJj4/H399fLsZt7FZx\nsFgsmM1m7r33XlasWEFoaCgVFRUYjca28jfhOqTUoZNubMPU+oXV+r8nTpxg9erV3H///YwcOZKz\nZ8+yf/9+YmJimDhxooIrdx7tY9BRW6zly5ezcOHCtn6MtbW1ZGVloVKpGDt2bJ+v11l1Jg6LFi1i\n0qRJbaUOt3qs6J6uxKC5uZmtW7fyP//zP7z55psMHjxYiSU7na7EAODq1ascOXIEPz8/+T6yoc7E\nYcGCBUyZMoXa2loMBgNmsxmVSiXfRy5Kon4bTU1N5OTkAC1tmNpPbLnxKj0uLo6MjAzef/99AJKS\nkli2bJkkvT10qxjc+IXV0NCAr68vw4YN44033mirqb7rrrvkR8YGuhqHjIwM3njjDV544QWampo6\nfKzomu7G4Fe/+hWTJk1i165dkvT2UHdj8PTTT+Pv78/s2bPl+8gGuhqH4cOH88Ybb/Dcc8/R2NiI\nRqOR7yMXJl0dbiMzM5PXX3+dqVOnsmXLFl577TXq6uqwWq2Ehob+4OrSzc0NT09PfH19iY+PR6VS\nyS0sG7hTDMxmM2q1moKCAp5//nkOHTpEZGQkzz77LB4eHkov32n0JA6tt3pFz/QkBp6enkov3ynI\n58A+yO+C6AlJfG9gtVrbEtr+/ftz9OhRNm7cSG1tLUuWLKG0tJT169czbdq0mwriAwICSEpKQq1W\nS9LbA12JQWt91sGDB9FoNLzwwgvMmDFD6rZsQOKgPImB8iQG9kHiIGzGKjpUWlpqtVqt1oKCAuvi\nxYutO3futFqtVmtlZaX1hRdesB48eFDJ5bkEiYF9kDgoT2KgPImBfZA4iJ5y+SIXs9nM2rVrOXPm\nDNBSHP+HP/yBp59+mmeffZaamhrGjh3L0aNHgZYaIqPRSHx8vJLLdioSA/sgcVCexEB5EgP7IHEQ\nvcWlE98tW7bwyCOPkJeXR3R0NAAbNmygoaGBDz/8EE9PT95++21mzZrFiRMneOmll3j++ecJDQ3F\nYDC09QwU3ScxsA8SB+VJDJQnMbAPEgfRm1yyj291dTWPPfYYYWFhPP/88yQlJf3gn1+5coXnnnsO\nNzc3EhIS8PT0ZOHChRw4cIAVK1a0zVkX3ScxsA8SB+VJDJQnMbAPEgfRF1xyx9fb25vQ0FAyMjJI\nSkriypUrrFy5ksLCQry9vSktLSU6OpqXXnoJo9HIkSNHmD9/Pi+//LJ8sGxEYmAfJA7KkxgoT2Jg\nHyQOoi+4ZFcHlUpFfHw8q1at4uLFi6xbt47w8HCmT5+On58fnp6enD9/nr///e9ER0fz05/+VOkl\nOx2JgX2QOChPYqA8iYF9kDiIvuDSk9v+8Ic/sH79erZu3XrTONu8vDx8fX0JCAhQaHWuQWJgHyQO\nypMYKE9iYB8kDqI3ueSOb6vExEQOHz5MYmIioaGhNDU1odFoAPD395dG131AYmAfJA7KkxgoT2Jg\nHyQOoje5ZI1vq6CgIObMmcN//dd/AS3T10TfkhjYB4mD8iQGypMY2AeJg+hNLtnVob25c+eiVqux\nWCwyZlghEgP7IHFQnsRAeRID+yBxEL3FpWt8hRBCCCGE63DpUgchhBBCCOE6JPEVQgghhBAuQRJf\nIYQQQgjhEiTxFUIIIYQQLkESXyGEEEII4RIk8RVCCCGEEC5BEl8hhBBCCOESJPEVQgghhBAu4f8D\nCRn6fwLNsVEAAAAASUVORK5CYII=\n", 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PlCU7UH7ymxnkuOJ2xpo3ItTgRvAC+zxmFV9ASeH5rzfuhttpwz898pphKotm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bW/Hud7/b8hsvW7YMF154Yf6/m5qacOjQofy/x+NxNDQ0IBqNIhaLnfP1uTQ3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huBVTL/2aNToQYHLhDYWIiIiWVm5DWH/4GGYNOAAHBuDhcBh/93d/d8bX9+/ff8bXrrnm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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -439,7 +439,7 @@ }, "outputs": [], "source": [ - "solpos = solarposition.get_solarposition(time, a_point)\n", + "solpos = a_point.get_solarposition(time)\n", "#solpos.plot()" ] }, @@ -605,7 +605,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 17, @@ -614,9 +614,9 @@ }, { "data": { - "image/png": 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xxKJwZo5dmaKpGMvfeYA3mtdTG6hhUmgCG1r/SdLv5HEkA164XDrRpKwUj258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\n4G5m0sfV93jMsi3a4h3sUrVzr881fOlpmHYCv88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DVX6oAG/8QpuSDRQ9C5LOtt35AsvZ\nO5Qq4JUCnBCCFXt12xH05aRkPYohBPi9UI2416NyDNkAEWgEHm/CLMF2Re3wvTLuSZgA4KhU7HML\nSgmWgCKlUyjUUAFnAnzzYTzcB86pn7or4JZl4Y477sDJkycr4ggffPDBhp7YfoDFoRVlgr4YFlpD\n1pG1cxBT9M2diw7OXqLkAa8U4Hm3ADfwamrAZBiyAZ/4Ubwbvxc2wgbxFGWC/iYIcIBnUK/H35CM\nFacFJZxIqjABzq8DIyhQ0V1zBXwTC4oc7jjzJBTOTqhbgL/3ve+N4zz2JaXBF/FMPDNkA9cK8xBC\n7xnfdufsJbxsFhAESJlMxdejBJQ6KuDs/nI12tzGq30biXs9KifFIvB0DcEqrw4ymAguygEECNCk\n+Hp2oqSsMPWG3xMlyivgeXcOkiBBkzZPTSpZUPIVXy8N4+G/45z6qduCcuutt2JtbQ2zs7OYnZ3F\n1NQU/vEf/zGOc9vzsMU2rgdeStZBQBBoSng8vsBy9g5+Lgsp0wFBrFyGShngdQjwMAvcVZkAtxp0\nlvuHwDQBQYArxy/AWfWV6AoCywIJgm2+IxlEAlwKoMsaRKHuR3DNRElZfCDSBgImwFNp5N0CMkpq\ny762jEKLBMyuwihZUHgFnFM/dVfA3//+98M0TUxOTuK2227D008/jVtvvTWOc9vzBJYFaBogCLHk\nvbIF1uOig7MH8bNZyL19G74eRRDWmIAClFKBnHC73ecvoxsILBPQ1NjWo3KYwPdVBRIhCGwbkhGf\n3WKvwHYhCqIHXdrcc9wIdFmDAAFFORyIxAV4hF9hQSluu9aokgJVUpF3KivgkQDnFXDODqj79Xti\nYgIPPvgg3vjGN+Ld7343vvKVr2B+ng+BqUZgmpEnNY6pc+Vd7vR4XHRw9gaB6yAwzepj6CMLSu0x\ngkzwsTHrvNq3Eb9sPTKkeMUwW+88nkFdQXkSTUqJ9xqIgghd1pAPJ5Lya1CCVcAFQ4fpmVtmgDMy\nSnpDCgqLUPV4FjhnB9QtwPv6+iAIAo4cOYLz589jaGgIjsMHwFQjsEyQ0B4SR8WJdbnzJhvOXsPP\n1TCGvo4KOHsZZc1tPHt6I4FpImACXGmOBaVkCeLXAyhPovGgS/HnRhuygazg0mPzGMII5gF3wp6R\nraZgMjIKbdgkhERfExUFYiYDf5ULcE791C3AT5w4gfvvvx+vfOUr8cUvfhF/8id/Atd14zi3PU9g\nmtEUMiOGxZb5Xm0lbLLhooOzR4giCDuqV8BFQUSXVnt2PnsZ5X7X6hBCEFgWghjXo3KiplgWgcfF\nH4CSTdBW4o0gZBiyjpwYCnB+T0QEYTSmFf5+skE7W5FR0nADD7ZfWXCUu7p5BZyzI+oW4B//+Mdx\n55134vjx4/jABz6A+fl5fOYzn4nj3PY0geuCeB48NXzgxZQDDgBFiQpwPmiBs1fYagjPsrWKLrWz\nrgY1VnEtSKEA5/dCBcR1Ad+PdT0qJxVF4NFryD35FGYDoY358XviU7KBrEQFI78GJZgHvBjumGXk\nGiwoW0QRBqaJwLYbe5KcfU/dTZiSJOG2224DANx+++24/fbbG35S+wFWjfYUCYAXy2Jb6nIn6Aav\ngHP2DpsN4fEDH2t2Fke6DtX1eexeMOFAkGV+L6wjGoGuxD8CvfzzSxF4/HoAYWN+k5JoAHodAlGA\noCj8GpTBPOBFlf5+1loBB+icgj6jN/p6+TAedXCw0afK2cfULMA/+tGP4v7778e9995bNa6HD+Kp\nhG01Oip74MUziAcAirABSeILLGfPsNkQnqyTAwGpy/8NlCwopmdCNFK82reOjQI8ZguKwjOoq+Gb\npSSaZllQ6P/hA5HK8YtFQBRRAN0dSNdSAS8T4OVEWeBrqwAX4Jw6qFmAv/3tbwcAfOADH4jtZMpZ\nWlrC2972NnzhC1+AJEn4jd/4DYiiiBMnTuBjH/sYAOCRRx7Bl7/8ZSiKgl/6pV/Ca1/72qacWy2U\nD70A4rWgmL4N0TD4Q46zZ9jMgrIcNmD21pGAApT6IYqeBTFl8EjOdTRjPSqHecyLEvfkl0Mb88NG\n2CYI8Ch9S9f486GMoFCgGeAe/ZlkaqmAq5uMo+9iFXDuA+fUR80C/OLFi7h48WKc5xLheR4+9rGP\nQQ8nPH7yk5/Efffdh9tuuw0f+9jH8Pjjj+PWW2/FQw89hK9+9auwLAvveMc78KpXvQqKojTlHLcj\niEYO0wpQrBYUz4Skc9HB2TtsZkFhEYTden0VcCb4TNeEqBvwVvhgjHLYemSGy2Pc4k8SJWiSioLs\nVRw/6QSmiSBDf/bNrIATTUWwzAUiwy8WIKZT0WCdWlNQgI3TMEtZ4Pzny6mPmgX4d7/7XQDA5OQk\nrl69ite85jWQJAlPPfUUjh8/jre85S0NO6lPfepTeMc73oEHHngAhBCcPXs28p2/+tWvxne+8x2I\noogzZ85AlmVkMhkcPnwY58+fx80339yw89gN6wW4Lm8+5nanRNu8ngXRMOAu8Dx2zt5gsxQUFkHY\nq9U+BRMAFEmBIsrRvUAcB8TzIMh1t7nsS1gFvLQeNcd/zBI4uCWolETj92YAkOYI8HBnyNcUSJ6H\nwHUgKmrsx21nCCEIikUoff2RnaS2HPBNpmF2cQHO2Rk1P50++clPAgDuvfdePPbYY+jtpU0Ia2tr\neN/73tewE3r00UfR19eHV73qVfjjP/5jAEBQNsY4nU4jn8+jUCigo6Mj+noqlUIuzBZuB0ojhwl0\nKZ6RwxVVP8OIRj6vH+3N4bQbXi4LUdchqpVioDSEpz4BDlDBRz3gVHQElgUpk9n9ye4D2O6YKQWx\nrUfrSckGsiIVKzyVBiCOEybR0MZ8vQkpKEbZQCQJ9Pcg8QI8fDkXU6UKeLqWCnhkQamsgEvddLfO\nX+PTMDn1UXd5aH5+Ht3dpYejYRhYWFho2Ak9+uijEAQB3/nOd3D+/Hl8+MMfxkrZdnKhUEBnZycy\nmQzy+fyGr29FT08Ksiw17Fy3wgsrTaYSIK1lMDDQsc137AxD1uHCgd7VARNAb0aGnI53xHEtxPXv\n5dROO1+DiXwOak/3hnMsnKcVqeNj4+jU6hPPHVoaOSePdM8gCgC6UyL0Fv8M2uUaeGE+elEJkFbj\nW4/K6TTSmJDmAABy4LT0Z9EO18FZCe04hgLAw2h/Lwb64z2vYTvspUhR0d1tCDBa9LNoh2sAAPYS\nbbxM9XbBhgVJEHFguL9quEQ5hk1fWh2x8nfZ71RxBYBQzLXNv3Er9sI5JoW6BfhrX/ta/NzP/Rze\n9KY3IQgCfP3rX8edd97ZsBN6+OGHo///rne9C5/4xCfwe7/3e3j66afxIz/yI3jyySfxoz/6o7jl\nllvw2c9+Fo7jwLZtXL58GSdOnNjys1dWmrcNml2gLw05wYUmaFhYiKc6r0s6slYBnkQX2vmpBSh9\nwTbfFS8DAx2x/Xs5tdHO14AEAdy1NUh9/RvO8Xp2EYqowFoLYAv1nb8qqCg4JhyBLmuLM4vQxO23\nluOina7B2jxdj/JwoYnxrUflyESFLQMQBFiruZb9LNrlOjjXFgEApkCLM3Y+wAKJ97yYW6IgEGig\n94SuNF+Atcs1AAB7hlo1XUnDanEZaSWNxcX8Nt8FBCSAKIhYzq9u+LeIqRTMhcW2+TduRjtdk95F\n1QAAIABJREFUh6Sw1QtP3QL8N3/zN/G3f/u3+N73vgdBEPDzP//zsWeBf/jDH8ZHP/pRuK6LY8eO\n4Y477oAgCLj33ntx9913gxCC++67D6raPltrgUW3fPOSF6vf0pB1rNprEI3R8Lh8q5fT3viFPEAI\n5M6NjZYr1ip69K5tq1HVMGQDPvFBNNpv4fPGv4hmrUflGLIBCAIETePXAqW12Q6TaJrlwwdK6Te8\nGRbwC3SXTQotKN01Rp6Kgoi0nNqQggIAcm8f3IV5EEJ2tHZxkkndAtxxHIiiiFtuuQUAsLq6is99\n7nP44Ac/2PCTK88Wf+ihhzb8+V133YW77rqr4cdtBOyBY8tAT6wC3MBc4TpEPfS9cq8lp83xs7QC\nI3VWVgYc30XeLWAsM7Kjz2VNbX44bp2Nm+aUNYUr8a5H5aTCJnEegUcJomdCfMlY62H5+FaYfuPz\neyJaF4SUgaJn1rXeZNQ01uzshq+rA4NwpqfgZ7OQu+pLcOIkl7oF+Pvf/36YponJyUncdtttePrp\np3HrrbfGcW57mvLc3Ti73VOKDgKCQFcqjsvhtCt+ljYrSesq4LtpwARKiQ+uSvs8+L1QolnrUTlM\nYBJdQ5Ddfot/v8OKMqZMIAoiVDH+yNzStGSex85gFXBPUwBSWwMmI6OkMVe4Dj/wIYmlfjJlcAAA\n4C7McwHOqZm6W+EnJibw4IMP4o1vfCPe/e534ytf+Qrm53n83XqiaocixFrpiLrcFfouxeO+OO2O\nF07BlDsqK+AsgrCnzghCBhs6wqY9crFRgv0snJjXo3KY0A80OgadENKU47YrpWSsAIasN8WqoMsa\nBAhlApw/H9jPgE2pztQQQchgWeAFr/LnqAzQCZg8CphTD3UL8L6+PgiCgCNHjuD8+fMYGhqC4zhx\nnNueJhr9LMdbcWIPU1flooOzNygN4VlfAaeV8d6dVsDD+8zmftcNRAI85vWoHPZC5GsyQAiInexB\nYWwXoiD5UYRs3IiCCF3WUJB8eg78nogq4Fb4zKyrAq7SZKb1PnAmwB1ejOTUQd0WlBMnTuD+++/H\nO97xDvzar/0a5ufn4bpuHOe2pwlME0RVQMSYLSjhZ/MmG85eYdMpmBZN6thpBZy9jNoKoIA3YZYT\njUAXhKaJv1JxQKbXo2hGvSpJhK3NecmL7FLNgA5Eosfm90TJA26qdEemvgo4/bv5ddMwlUFeAefU\nT90V8I9//OO48847cfz4cXzgAx/A/Pw8PvOZz8RxbnuawLLoAw/xjhwuiQ5eAefsDbxQgMsbBDit\ngPfUOYaeETWchU1u/F4oEZhl65HSLAFOj8N35ygsiaaZFXCAXgc2kZRbUOgYegAohLac+jzgYQV8\n3TRMpbcPkCS4DZyJwtn/1F0B/63f+q1oKubtt98eewThXiUwTQQabbKJc7Fl27yWQnNe+QLLaXf8\n3CZj6MMmzO5dVsALMkE/uOArx7fMcABMvOtROamoOMB255K9NkXe4yY2wgL0OkxLTIDzeyIILSh5\niQnwOirgm0zDFCQJSm8fXG5B4dRB3RXw8+fPo1DYmIPJqSSwTPgqfb+Jc7uRfbYZVf2S7bPktD9+\nNgtIEsRU5YNvxVpFSjagy9qOPjdKfIj8rskWfAxCCALThBeuR03NAQe1BAFc/LG1uZmNsAC9DtFL\nEI+ppVGMgoCcRHvXmKiuBdaEmXc3aiBlcBB+LsvTlzg1U3cFXJIkvO51r8ORI0egaaUHZXlmd9Ih\nngfiumEcGmmKB5w12fAUFE674+WykDs7K1IgCCFYsVfRb/Tt+HNT4ctoQXQBQUi84GMQzwV8H54q\nAQiin1PcsHXPDJ8ySV+bWhEFCdDrEEgCoMiJvwYAEBQLEFMpFFx6PdJygwR4lISyAO3AwQacKWe/\nU7cAX1pawh/8wR/EcS77Bub1o3FoPvQYt3yjbXfRqzg2h9OOEELgZ7NQhyuHX5ieCdt3dtyACZQs\nD0XfhqjrvBIVwqqedD0KYl2PyikJcO7JB8J/v0CTsZq1CwGU7gvoeuKvAQD4hSKkVBoFj4rojLoT\nC0o1AU6zwJ35eS7AOTVRtwDv7u7GTTfdhHS69rfGpOGXef2A5jRhFgMbgqbx6X+ctobYNojjbExA\nsVkD5s4FOBM1pmtCNAye+BBSXnkF4l2PypFECaqkoiCHlqCE2x9oEo1Gk2iaXAEHAOgqt2WBVsDl\nnh7knSKNaazjhTS9RQVc5UkonDrhFpQYKA3hof8dp9+PWVBMz4JoGLzCwWlroiE8GxJQ2BCenU+R\nU0QZiqiE90IK3urKzk90H8G8x1a0HjW3+poX7fA8ki3+/PLG/KZ6wNlAJBXCaq5px21HAtcBcV1I\nqRQKbgFpJVXXQCRFlKFL+jYWFC7AObVRtwD/0Ic+FMd57CuYDcSS6SAETVJjO1ZU9fNMSLoBv8BH\nPnPalygDfF0CyrK1uzH0jJSso+gVqQUlnL7YjImD7QyrgFsygQABmrSzJtedYMg68hIVK0nfkQhM\nE0Eq/mja9UTTkjUFouuCeB4Eue5H/74gKNCXQDGVRsGdR6fWsc13bCSjpDaxoIQCfJ5HEXJqo+67\n8BWveEUc57GvYFVoUybQJS1WAcC20IqeCTFlwF3kNz+nfdl0CI+9uzH0DEM2kHcLEI0OIAhAHAeC\n1jzB2Y5E65FEmjYCnWHIBhZFJzyP5FbACSEILAteNxXDTRXgYdOtp0pQQS2S8roX4KTAMsDFVApF\nz8RIZqjuz8ioGUzlZja83IuaBqmri1fAOTVTswA/ffp01YWb/RK++OKLDT2xvUzFyOEmbDUash5t\nuxPPQ+C6EBUl9uNyOPWy3RCenY6hZxiygXlzEaJBq1GBaULkAhwAUJT9pgo/gO5IWDyGEMQtT6KJ\nNxlrPan1A5GKJpBQAc4q4IGugoBEqSb1kFFS8IkPy7c2PN+VgUFYly8lepeBUzs1/4acO3cuzvPY\nV0QPPLE5D7yUYmDZWoGod0TH5wKc045EQ3g6K73eK/YKBAjo3oUHHKBTHgMSADrd6g/MItC9O1G/\n1/FZQUBsTkGgHEM24MpsEE9yBTj7t7NkrFZYUBw+LRm+SSvgrk6lTz1TMBnRNEynuOF+UgcGYV28\nAHdpCepQ/dV1TrKoexAPZ3tY01NB8pojwGUDlmdDNIzw+Mnd6o0bb20Va089CeL7rT6VPYmfpZVu\nqaPSe7liraFTzUASpV19PotcY81uSfcdAyXB1az1qBxDNkBEAdCSncBRasxnSTTNHcQDoGwnIsHX\nIayAO+FuQD1TMBlRFKG7sd9K4UkonDrgeyQxUD5yuLMpFhQDBASBxqp+PAs8DqyJy5j5w/8b/uoq\npI5OZF52a6tPac/hZWkKQ7kFJSABVu01HOgY2/XnRw1nKhXySa72MUriT0RnCywoAABdS/TLELMl\n2uETt7k54PRYVjQQKbnXgXnArVCA78yCstUwHpoFzgU4pxZ4BTwGSrm7YlMqTuwYfjhqOskVjrjI\nfvcfMfV7n4S/SpsF7empFp/R3iSqgGdKFfCck4dP/F1FEDKMyO/K7oXkig0GS2Vq9gRGoNQAGGhq\nonPAyxvzaVxm82pfUVKWHITnktznA5uTYSl0ONSOKuDKVsN4WBIKF+Cc7eECPAZYBdpWmjPxLBXF\nTIVVPz4BsGGQIMDio3+Oa//vAxBkGYN33wMAcGZnWnxmexM/l4OYTlc0KEUJKLtswARK94LL/K78\nXojEHxXgzfaAswxqhQ6iIaSpx28X2O+hKQdNrX4DpaSsPBuIlOCXUr9ARXMhFOA7qoCrW1TAQwuK\nwyvgnBrgAjwGWNOTozan4hRV/ULR4Se40tRIAsvE7B/9P1j+2v+CMjCIA7/5UXS99vUQVBX2DBfg\nO8HLrkFe14DZqAxwoHQvsCFYSa66Msotca3wgAOAp8k0FtK2m3r8dqHUF9T8JBqA3hcFiQvwILSg\nsJeRnTVhbi7ApUwHRF2Hu8DjgDnbwz3gMRBVnOQmCfBwm9dWRWhI9gLbKNyFBcz8wefgzEwjdcON\nGHnv/wkpQ7vf1dExONNTIL4PQdpd02CSIJ6HoFCANDZe8fUlcxkA0Kf37voYpYYzAWnQzOOkwywo\nbpPWo3KiHQlVgg7qPxb15gvQVuM3OZp2PSnFQE6k9i9mw0gifvhvz0oegJ1aUFgKykYBLggClIFB\nONev8SFgnG3hFfAYCCwLRJFBxGZVwEMBLrHjcwG+G4rnz+Hq73wCzsw0ul9/O8Y+eF8kvgFAGx0D\n8TzeaFMnfp42YK6PIFy26Mj4Pr1n18dggi/yu1q8ITkwTRBNadp6VA47XikCL5nij4leUw5gSK2p\ngOdEKjqT3IQZFAqAICAbDofamQWFivZqFXCA2lCI48BfW9v5iXISAa+Ax0BgmlEMWjOqHZHoUAg6\nkdyHXCNY/fa3MP9nDwEABu/9WXS/5nUb/o46RtM67JlpqMMjTT2/vUxpCE9lBOFSKMB7GyDADYWK\nmyJvOIsILBOBykagNz8HHKD2FyC5u3OlRlgRfS2xoBiwVXYNkntP+MUiRMNAwStCFHYWkqBLOiRB\n2lyAD5SiCOWEzyDgbA0X4DEQmEX4KhPgzWjCZKKDhMfnVb96IZ6HhUf+B1a/+QTETAajv/Q+pE7f\nUPXvaqNUgDuzs8CZZp7l3qY0hr6yAr5krcCQDaSU3YtDJvgKIve7MgLTgh8OHml29TW1IYM6mdej\nshG2+QI8JRuJfwkCqAdcSqWRdwtIy6kdWUQEQUBGSSHvbMwBB0oC3Jmfh3Hi5K7Ol7O/4QI8BgLL\ngtdLt7aaaUEpRk02ya1w7AQ/n8fcA3+E4otnoY6NY/T9/xlquIhWo7wCzqmdaApm2RhsQgiWzWUM\npgYacgwm+PLhdnuSxQZAf76+WYQXvvSwHYJmYWwoDiTzekQ54C1IogHodfAlAZDlxF4DgKagqMMj\nKLhFdKgd23/DJmTUDJbMlap/pvJhPJwa4QK8wRDPA3EceOHN3YyKE1vQ8xL3+NWLc/06Zj73X+DO\nX0f6Zbdi5D3vhahv/YCUe3ohGgaPIqyTkgWlJMDzbgFO4DbE/w2UMo+LcCAkXGwAAPFcwPejhKRm\nV8AlUYIqqZElKKlNsa2ugEeiX9cSew3Ys1lMp1B0lzGc2vmo+LSSxkx+Dm7gbch058N4OLXCmzAb\nTLnXDygllMRJKqxqFWADoph40VEPS3/5F3Dnr6Pnzjdj9H3/eVvxDdAtSHV0DM716yCe14Sz3B+U\nLCglAR41YBq7T0ABEA45UVD0TIhGKvH3ArOjMQGutyKBQzZQkJK9IxGYJohAk2ianQMOlGyKgaYm\n9hqwDHBi6CAgUZ73TugImzcLVXzgcm8fIElcgHO2hQvwBlO+1Qg0p+KkSRoECCh6NkTDSOwCuxOs\nyasQU2n0/+RPQRBrvx3U0VHA9+Fcvxbj2e0vqgnwRjZgMlKyDtMzIRpG4neD2FpgsfWoRRnUeTHZ\n9rjAMkFUFRCEyCbVTFgFPNCVxD4f2O+eHwYkZHYQQciIhvFUiyIURSj9/XDneRY4Z2u4AG8w0RRM\nGZAFCYqkxH5MURChh6JDMlI8hrBGAtuGOz8PbXy87macqBGTD+SpGS/0gMtlHvBSBnjjBLghGzA9\nK3wZTabgY0QFAZnQ9aiJI9AZhmwgK9HYt6QORgpMK0rGakUFnO3EeqoM4jiJ3LljFXBPo/fATobw\nMNJbDOMBaCOmn88lvgDQTIjvw1tbbfVp1AUX4A2mfORwM5ttaNXPgmjoia1w1Is9MwMQAm38QN3f\nq4bDZOxZ3ohZK342C0FVKwaxNNqCAlDBV/TowBfiOCC+37DP3muwtcCUCXRZb8lgkJSsRzuCSV2b\nfMuEr4ZJNC20oHgqHRaRxOvAstgdjf4MdjKEh9FRgwAHuA+8WZgXL+Dq/R/H5V/7FViTV1t9OjXD\nBXiDYQ0uRSlo6kJLq36h79WyQIKgacfeqzgzUwCwIwFeqoDPNvSc9jN+LlthPwHKLSiNy8s1FB0B\nCQAj9L0mUGww2L+92etROYZsRAI8iQ2AhBAEphmJ31Y2YToqfeQnsTLrh2Po7fBn0JAKeBULCoAo\nRcud5wI8Tvx8Htf++59i6nd/B870FEAIimdfaPVp1QwX4A2GWVCKUtDUrcaUbMDybQi6DhCCwLab\nduy9ij1Nq9fq+Pg2f3MjUlcXxHQaNk9CqQlCCLxstiIBBaACPCUbDd0tYh5botHhM0m2ZAUtHoEO\nUPGX5Axq4q5LommhB9wOHUhJtGYFoQXFDF2hu/GAd6jbVMB5FGGskCDA2lNPYuK3fgPZv38S6tg4\nht/zXgCANXG5xWdXOzyGsMFUWlCaWAEPPX5ED0WHWYRktOaBu1ewp6cAQYiq2fUghN9nXryAwHUg\nKmoMZ7h/CIpFwPerZoAPNSgDnMHEBtvyT6LoY5QsKK2rgKdkHUQUADWZDYDlEYRAay0oVoJfhPzQ\nglJUaCb9TsbQMzJKBgC3oLQCe2oK1x/+77AuXYSgaei/6+3ouf2NgCRh4cv/A9ZlLsATC1vYbEVA\ndxMrHUYUM6VUnAenOoQQ2DPTUAYGKzzJ9aCOjsG88BKcuTnoBw81+Az3F352DUBlAgrLAO9toP8b\nKN0LrNkqidvtjFIsqoCeVllQouKAlszKa5SMRf9bl7SmnwPbjbWigUgJvA5hBTwv+wDZnQd8+yZM\nWlRwuAWlYQSWicW/+kusPvF3QBAgc+Y2DLz9bii9peeHfvQYCs9+H97qCuTuxjX2xwUX4A2GLbbN\nHrjAtt09hVf9asFfW0WQzyN14tSOP0MbKyWhcAG+NV4uB6AyASVqwGxgAgpQuhdcRYSMZN8LflR9\nFVuSvgFUFgeS+DLEbImWDGiSCkmUmn4OoiBCl3QUZNqQ7CcwjYZVwHOSB3i7rYBT8b7ZOHpRVSF1\nd/MKeAMghCD/zNOY/59/Bn91FcrAIAbfeQ/SN//Qhr+rHz6CwrPfhzVxGZmXn2nB2dYHF+ANhi22\nzRbg7FiuJkFEskVHLdjTtAFzJ/5vhhpaV7gPfHtKGeBd0dfiyAAHSveCozIBnrxqH6Pc/tCK/Gmg\nzBKkKZCWsyCEtCSNpVWUbImkZT58gN4XRYkKxiQ+H1gT5qrkQPR390IqiRIM2di0Ag7QRkzz4gUQ\nz4Mgc6m1E5zr1zD/Zw+j+MLzEGQZvT/xH9H7794MUVHh+QGW1iwsrJlYWLWwuGrCWNVxEoB5mQvw\nRMIe9o4iNj0FBaBVPw3JXGDrwZ6iDZg7SUBhqFEFnEcRbkfJgtIRfS2ODHCgrOFMEZBC6aU4iZQL\n8FZVwKPdOVWC6vsgjgNBa74No1UEUTKW37JrAFABnpNWK84pSTALyppgIyUbEIXdZVB0KOktBbgy\nMAjzwktwFxehDg/v6lhJJPfP38Pc5/8E8Dw4h05i6sybMEtSWHzkeSysmVjJ2iDrvkfzA5zE3mnE\n5AK8wVRWwJuZA25Ex9WQbN9rLdi7iCBkyB2dkDo64czyKMLtiCwoZRXwODLAgdK9kGS/K6N8Mm/r\nYgjZjoQUvhCZEBMlwOkzoSD5TZmMvBmGbCAveuE5Je/54BeLEA0Ded/clf2EkVHTWMwuIyBBVTFf\nnoTCBXj9XPrzv4Lm+Xhs+DU4Lx8EnssCyEIA0NOp4cSBbgx06xjoMtDfrcPzCb74N+dgdvRBvDIB\nEgR1TbduBVyAN5jIAy43t+LEHnKmAnQg2aKjFuzpaQiqGjXL7BR1bAzmuRcR2HaiREW9RBXwjmpj\n6BuXAQ7QHHAAKMo0Cz/JL6NMaLlycwsC5RhlxQF6TkWgu7HXvJ3xw2eCpZR+N1tBStGxFIY1JTGP\nPSgWIKZSKLjFhiQvpZU0AhLA8iykqjR0siQUZ2Eeu5f7ySJwXWhLc1jQe3Hk9h/HK7oNDHTpGOg2\n0NupQ5E3CmvPD/Bnj7+EWa0fx3JLcK7N7SjhrJm09+vBHsQ3TRBZQiAJUfRTMzDWV/0SnH28HcTz\n4MzNQhsbr+sN2XI8zC4WMHk9F30tGsjDfeBb4mdZBbxSgDc6Axwo3QtFid8LgWUhUBUQsXUV8FSZ\nJQhI3gtRuQ2o1RVwUw8H8azurZHdjcAvFCEYBghIQyrgbBpmbrsoQp6EUjerFy5BIgGK/eP46dcd\nx+tePoabj/ZhqDdVVXwDgCyJOD7WhYsC3WXdC3GEvALeYALLhB9GATY1BSWM+mJVvyCBXe614ly/\nBvh+RQNmEBCsFRwsZS0sZy36v2t2xX8XLC/6+x++++U4dbAn8oHbszPQjxxt+r9lr+Bl1wBRhJim\nD624MsCBkuArSuF2e4LvhcA0EbAR6C0Sf2wdLBj0wektLwNHj7XkXFpBUJZE06qXICCcSKqKQCYN\n59q1lp1HKyCeB2JbCAwNgLOrKZiM8mmYVlaHIAAHh0o9LiofxrNj5n5wFgoA9XB9z9STB7rxj+fo\nM8WauISu/+PHYzi7xsEFeIMJTCsaANLsSZgAUBBpzFSSq37bwRJQtLED+KcXruHRJy9jJWfDD9a3\ndFA0RUJvp4YjI52QJRHPXlzEv15exqmDPdBGqYh3ZngFfCv8XA5SR0e04xBXBjhQuu9yTIAncLud\nQUeghwK8ReJPEiWoooLlTnrtnWtzLTmPVlFRAW9hCkq0IzvYB3diKlEDxNg1CHRaHNtNBjgjE07D\nXC5m8cUvX4WqSPgv73tVlPAjptMQDYML8B1QvHgRXQAGbr6hru87daAbj2k9CEQJ1sREPCfXQLgA\nbzCBZcLtpl5gQ2r+IJ58KDqSts1bD/YUa8Acx+Pfm8ZS1sLR0U70dero7dTD/9Wi/07rcrSoWo6H\nD/zXv8e5SepfVsdG6WdyC8qW+Nk1yP2laveSFU8CCgAoogxFVJATHEAQomE0SSSwTHgZKhRaG4Fn\nYL6DvuA6c8lqWm7VbIj1sOvv9XdDvjwJd34e2tjOY1j3EiyC0At3p5l43g0d4TTMH1ydhWmrMG0f\nMwsFjA/SrwuCAGVgEM7c7J5oCGwnlGuTKEg6Ttx0uK7vOzLSCUGSsJweQP/0VNv3ZnEB3kCI74PY\nNtzQDtLMhhtN0iBAQE50ASSzy71WWGygMDSKq9f+BYeHO/CRe2+r6Xt1VcbhkQ5MzOZg2h6MVBpS\ndzf3gG9B4DgILKtiCM+SGU8GOCMl6zB9C6KuJ7YCHrgu7XdQ6YO/peJPMbCkZSEoCpy5JFfAWy/A\n7b5OyEDUB5ME/EIYD6zSIUiNsaDQKvrZqesAaJrWC1eWIwEO0CQUe/IqvLU1KD3tP5mxHXCWlpGy\n85jsPoyXG/Xt0KiKhCOjnZiY70F/cA325CSMEydiOtPdw1/JGkhp7HP4wGui51IQ6KCNYmBBUFUu\nwLfAnp6G3NODyVwAPyA4MV5fIsPpgz0ICMGFadrIpI2Nw1tejiatcSrxc2wIT/xTMBmGbMD0LIiG\nkdgc8PLKK9BaAZ6SdRQDG8rQMJxrcyBB0LJzaTaBZYEINBmrHSwoZg8Vn0l6EQrCCrit0WdzpgEW\nlA6VCu28W8BNR6iV7uyVlYq/EzVichtKzcw8+wIAIBjb2XTpUwe6Mav1A6A+8HaGC/AGwh54lkyg\nikrTRw4bsh6KjhQX4Jvg5/PwVpahjo3j4gyNxjs+1rXNd1Vy+hAVjeeuUgHOJmImbWu9VkpTMDdG\nEDY6A5yRUgwUPROibiQycg0o5U/bMlqyHpVjyAYCEkAeHgZxHHgryy07l2YTmCaIqgBCe1TAcz1h\nLnuCvPjMgmJSB0pDmzAFxcFPveYYRvpSOD+1As8vvVyqPAmlbpZfPA8A6Dy5s8r1yQPdmNWpADfb\nPAmFC/AGwkSvJbfGb2mEokMyDC7AN8GeKU3AvDBNBfiJ8foE+PGxLkiiEPnANZaEwidiVsULBXhl\nBCEVYI3OAGcwwScYOhVApHqD7X6GWW/oCPTWCT+grPo+2AcgYdVX02xJY/56mCUylxYTZwUKQgsK\nSwlrRBNmMU93ljIZgkPDHbjxcC8cN8ClsLADVA7j4dRGMDmBAALGX37jjr7/+FgXskoGtqLDusIF\neGJgFSdTDlrywDNkA47vQEiw73U7mEhWx8ZxcXoNA906ujL1NWloioSjo524ej2HouWVKuDcB16V\nyIJS5gFfNuPJAGew+y/QFCAIQBwnluO0M+wl3JQI9BZaH4BSSpM/QHc8krRb5FutT6IBStfA9Gyo\nw8myArEKeCEU4I3IAX/y2XmQQES6g37mjYfpzmi5DYVbUOqDeB7SK9ewpPdgdGRn9kRDk3FwqBMz\nah+8xcWoANSOcAHeQJgFpSi1RoCzBRa6BuJ5CFy36efQ7jhhBGE204ei7dXt/2acPtgDQoCXplah\njdIkFGcmOaKiHtZbUAghWLJWYvN/A6V7gWi0iSeJO0KsJ6Uo+U0dClaNaBpmH/0dSEr1lRASRkHS\nR22qxUk0AGB6JtThEWoFWl3Z5rv2B8wDnpU9CNi9Fci0PXznX69B8FUQib7cnzrQA1EQcPZKyV4l\n9/RAkGU43IJSE8sXLkMmPgr94xDD5LGdcPJAN2YiH3j7VsG5AG8gkQVFIS2xoKTKq37gWeDVsKen\nAEnCJYf+rI7XaT9hRD7wyRWIugG5rw/2LLegVGO9BSXvFuDGlAHOiCLXNFp5TOK9EFXAldZaH4BS\n5dfqSQGCkBj/MfFcwPejxvxWXgddojt9Rc+EMjwCIDkvQiwFZU1ykVZSEIXdSZ+n/nUOtuOjU80g\nH07CTOkyjox24PJcFsVwaJsgipD7+3kFvEbmwgbMegfwrOfkga490YjJBXgDYdnbjtyaiWdMdLBJ\nnEmeAFgNEgSwZ2agDo/gwixdNE/U2YDJOD5Gh/Kcuxr6wEfH4K+twc/nG3a++4X1FfA4M8AZ7P7z\nwtgxP4H3QrvkTwNl9gfBg9I/kBgLStQIqwgQIECTWjf4RhIl6JIG07OgjiRLgLMK+KpXH4V4AAAg\nAElEQVRo77oBMyAETzwzDVkSMdTZBcd34Ph0t/mmw70gBDg/WdpZUAcGERQKkQ2GszmFSxcBAAO3\n1DeAZz0nDnRjLmzEbOeR9FyAN5DyB14rKh286rc17uIiiG1DGz+AizOrSGkyRvp3thgrsoTjY52Y\nms8jb7pQwzxdPpBnIyUPOB3THHcGOFASfK5CBXgSeyLaJX8aoA3iAK2+qiMj8HO5RLyslhrzCXRZ\n33XldbfQeE5qQQGSk4TCImJXBGvXDZjPX17C/IqJH71pCF06XdMKYRX8xsMb4wgjH/j8wq6OmwTU\na1MoihqO3LS7CnhnSkXPYA9W1E5YVybatteBC/AG0uoHHuty98LtziT6XreCjaAnA8NYWLVwfLxr\nVz6z0wd7QACcn1yFxhox+Uj6DXjZLETDiMZer88AX1g1cd8fPIVvP9u4nx0TfI5Kr28SX0b9NhmB\nDpR2JEw3WdXXcgHe6pcggF6HomdBHRpOlBUoKBQgaBp8cfcNmI//M7UavuHMeDQNM+fSl8mjo53Q\nFAkvlPnAeRJKbdgrK0hbWSx3DiOlK7v+vFMHujGj9iEoFuHOX2/AGTaethPgnufh13/91/HOd74T\nP/3TP41vfvObmJycxN1334177rkHn/jEJ6K/+8gjj+Btb3sbfuZnfgbf+ta3WnfSIZVbvq3wgIei\nIxLgyav6bQVrwJxXqfCrN35wPeU+cJVFEfIK+Ab8bHbLDPDvvXgdq3kHX/q7C5ieb0xVlIkdWw4F\neAJfRkvrUWssceWk1jUAAslIQmHXwGxRY/56DNmA5VmAqkDu60vESxAQpqCk6O/gbobwzC0V8PzE\nMk4e6MbBoY7IzlJw6LNWlkScOtiNa8tFLGep/YgnodTGzPfDATyjBxvyeXvBhtJ2Avyxxx5DT08P\nvvSlL+Hzn/887r//fnzyk5/Efffdh4cffhhBEODxxx/H4uIiHnroIXz5y1/G5z//eXzmM5+B2+LU\nj8jvp7bKAx6KDqXyfDgUFkF40aOLZr0DeNZzZKQTiizi/OQKFRWCEI2551BIEMDP5yB3ln7W6zPA\nf3BxCQIAzw/wwF+/AMf1d33cSPDJNP87if0Q5Tty7dKEaXom1JEwNSgB1Vd2DQpyAL2Jk5E3I6Xo\nICCwfRvq8Aj8tdVETPANikUQnTah7sYD/sQzpeo3AGRU+lmsAg5stKEwAc6TULaGDeDpOHWyIZ93\n6kA3ZvUBAIDZpkkobSfA77zzTnzwgx8EAPi+D0mScPbsWdx2220AgFe/+tX4h3/4Bzz33HM4c+YM\nZFlGJpPB4cOHcf78+VaeeqniJLfIghKKDiscPZ3UCYCbYU9PQUyn8eKyD0kUcGSkc/tv2gJFFnF8\nrAvTCwXkfQFK/wDs2ZlEDn3ZDD+fBwiJ/N9AZQZ4rujg0uwajo134XU/PIaZhQL+/Fu771qPBF+Y\n+5tECwqLIbQVoaXxd0BpbSp6ViIr4I4iIKW0XoBH18Etuw7XrrXylGKHBAEC00QQ2hp26gEvWjR6\nsLdTw8tP0soqs7OwJBSgLA/8Ki00KAP9gCDwCvg2BJMTIAAO3Lq7BkxGb6cOf2AEviDCutyeSShy\nq09gPYZBF4h8Po8PfvCD+JVf+RV86lOfiv48nU4jn8+jUCigo+yhnkqlkMvltvzsnp4UZDm+cczz\nYSe0qwgY7uvFwEDHNt/RWEyFTpnzU/S9yhCDpp8Do1XH3QzfsvDS/DwyN9yAyfkCjh/oxtjo7qcw\nnrlxCC9eXcG1VRu9Rw9h+btPo1sNoHbHM+GxHtrhGhQK9CGUGerHwEAHCCFYtlcw1jGMgYEOPP/M\nFAgB/s0PjeInfvwoLs6s4fFnpvGql4/jthuGdnxcLdz8cQ36MqrBa8nPo5XX4JpH84ldWcBQb09L\nz6XHDxOaRAfDR0Yw2dUFf+F6086pVf92T6Iv47YiYCTd0fJ7srejE7gG6B0i9BNHsPo4oBdWmnJe\nrfq3u0wXpHUADkZ6+3Z0Ln/15CXYro+fedMpDA/RHb1xQiusRHGjz+zvz6C7Q8O5yVX092cgCAIm\ne3vhLy22/PoD7fFcWA/xfWTCATyvetlhCLvozSrn5lPDuH62F6PTU+jr0iCqrUshqkbbCXAAmJub\nw/vf/37cc889ePOb34xPf/rT0Z8VCgV0dnYik8kgX9ZFz76+FSsr8VaErbUcAkmELwlwCgQLC1u/\nEDQa26aL/Ypv4yCA3OJq088BoDd4K467FdbEZYAQ5NJ98FcIDg9lGnKOB/toBeS7z8/izj4qGOee\nO4/UDTsbo9so2uUaFCdpdc2RdSws5JBz8nB8F51KFxYWcnjq+3RL9/hwB3JrJn7h392A337wn/HZ\nP3sG/9cvvBKd6Z0tmF5Ac3hXfBsAkF/ONv3n0eprYGfzCBQZRGzNerQeVVSwVsxjYSEHeWgY5oWX\ncH1mKfaHYiuvw9oCtSE4sgDBk1t+DQSXFqBmFxYxlqGV2sWXLkO45Uysx23lNWDWj2JYewssse5z\nCQKCv/r2RSiyiDPH+6Lv94tUKF5fXan4zNMHu/FPL1zHs2evYXwwA6mvn/6+zy5DVHbfYLhTWr0m\nbcbiuQuQAw/F/jEsLjYuHengQBozeh9G1xYx/S8vwDh2vGGfXStbvfC0nQVlcXERv/ALv4APfehD\neOtb3woAuOGGG/D0008DAJ588kmcOXMGt9xyC5555hk4joNcLofLly/jxIkTrTx1BKYJX2vdyGG2\nvViQguh8OBSWgHJdpZXp42ONqVAfHumApkg4d3WFRxFWwcuuAUDkAS/PAPeDAM9fXkZfp4axAfoi\nc3CoA297zTFkiy7+9Gsv7tjOI4syVFFBTqK7UklsSA5ME34bjEBnGLKBoke3JtSREYAQuNf3t/2h\n5MMXWz6NFNjECrTPvfgsA9wOp5Ey33Y9PHd5CQurFn7spiFkjJKAjpow3cqM7xsPMR94aEMZHAQI\ngbfIowirMfuDswAA5fCxhn7uyTIfeDtOxGy7CvgDDzyAbDaLP/qjP8If/uEfQhAEfOQjH8Fv//Zv\nw3VdHDt2DHfccQcEQcC9996Lu+++G4QQ3HfffVBbvL3gWyY8pXUPPFVUIAoi8kx0JND3uhn2dGUD\n5m4TUBiyJOLEeBeen1iG03MIAI8iLKc0hGdjBvjF6TUUbQ+vvHGoYsvxjT9yAM9fXsJzl5bwzX+Z\nwe1hw1O9GLKBLJgAT969EFhmNIio1TGEAI2GzDm0+hY1Ys7NQTvQmNSDdoT58NuhERaoHEcv9XdC\nTKXg7vMkFOc6jaArpOizOS3X7wF/4p9pAef2Mwcqvp5WUhAgIOesE+CRD3wFb3rFwVIj5sJ89LvP\nKVG8cAE6gMGbTzf0c4d6DGR7RoDr7ZmE0nYC/CMf+Qg+8pGPbPj6Qw89tOFrd911F+66665mnFZN\nBKYFr7N1AlwQaLMVEx1JnP63GfbMNCAI+EFWwVCPsWNrQzVOH+rB8xPLuGTp6BFFXgEvww/9l6wC\nXp4B/oPnlwAALzveV/E9oiDg5998Iz72p9/DI//7Ik4f7MbYQKbuYzPBJ8hyIl9GA9OE00cFVztU\nwFOyjvniAgghUfXVnptF+zlSG4e3Sn/fLa31UZAAoiq86VkQBAHq8Aisq1dAPA+C3HZyoCGwyufS\nAP23p+usgM8sFvDClRWcPtiNA4OV65AoiEgpRkUTJkAbAEf6Ujg/uQrPD6DyYTxbol6fgiWqOHFz\nYyvggiBg6NhBmC+pEC+1XyNm21lQ9iokCEBsC040clhryXkYso48LEAUE7ntXg1CCOzpKQi9/ci5\nAo43qPrNOHWQ2lnOz+agDg7BmZnmSSghzIIidbAx9KUM8OcuLUGVRZw+uHEiZk+Hhp+78zRcL8AD\nj52F69UfTZiSdZieBdEwEhdDGNg2iOfBCRORdLk161E5hmwgIAFs34mqgO4+tj8QQmBNTMDvSKNo\ntIcAL6+AA+FOhO/D3cfWCGviMiCKuNYtQkD9iUDfDKMH11e/GRkls8GCAlAbiu36uDSzxofxbIG9\nuoqMuYblziEYeuNdDCfDPPBgaaHtpu9yAd4gyiO/NElr2chhQzZQ9G2IuhGdU9Lx11YR5PModlEv\n2InxxiaUHB7ugK5KeHFyFerYGALThLe62tBj7FVKFhQmwKknMrB1zC4WcMOhHqhK9WSil58cwGtv\nHcX0Qh5/8e36tw+Z4BN0A37CKuDW1SsAgJUeFbrU+hHoQGUWuNzTA0HTYO9j+4O3sgx/bRXWGN3h\naQ8bUKkCDqAsEnJ/XgfiebAnr0IbG0MWFlKKUde9ULRcfOf5OfR16rj1RF/Vv5NRUii4RQSkctx5\nZEO5ssKH8WzB9LPU/x2MHorl808e6MacFg7kaTMfeOtX5X0C2+K25NZu96ZkA27g0qofr4ADKGvA\nVKjwbpT/myGJIk4e6Mb15SKC/mEAgMNtKADoGHpBliGG8aIsA/ylK7Ri9EPH+7f8/re//gSGe1P4\nxtNTeH5iqa5jR/ehribOA25duggAuNavtkXlFSifhmlBEEWoQ8Nwr82BBME237k3YdnD+WG67rTD\ndWDXoODSZ4M6sr8bMe3ZGRDXhX7kKApuse4x9H//3BwcN8Drz4xBEqvLpYyaAQFB0a1cY04d7IEo\nCDh7dRlSOg0xlYbLh/FsYPmFcwCAjpPxhGiMD2Sw1EETysw2ywPnArxBsAe8Kbd25HBJdGiJEx2b\nETVgumlkDAXDvTsfRbwZzEZxXaaVXj4Rk+Ln6Bh6QRBACMGStUL935cWAQAvO1a9qsTQVAnv/Q83\nQRIF/Lf/9SKyRafmYzOxQXQVxLZB/N1P2NwrsAfNdG9rhoJVg12PfDg1UB0ZBfE8uEuLrTyt2GBN\nXytDVPS1w3Xo1rogizJm8lRw7/ehSKziqR0+goJXrGsKZhAQPPHMNFRZxI//0OaNk6VhPJX2hpQu\n48hoByZmcyhaHpTBQbiLC/v2hXOn+FNXAAAHfvimWD5fFAWkjh0FAOQvcgG+L2GWg7xCWlsBV0qi\nI7AsfrOjVAG/6KVxfKyrYSH/5Zw+RKtcF2z68+eNmNQD62ezkf877xbgBi66tR6cu7qK8YEMeju3\nv1cODXfgJ19zFGsFB1/82rma/fVsy9/XqK8wKZYsQgisSxchd/dgUfPaIn0DAEYzVOxdzdKX06j6\nup/FnyBguY/+/NvBgiKLMg51jGMmPwfLs6D09wOStG8r4JHl4MAYAhLUNQXzB5cWsbhm4cduHq6I\nHlwPE+Drk1AA6gMPCMH5yRWoAwMgnhc15nJo71xmeQ7LWjeGRrYuxuyGI8dGsSpnYE1cbqv+LC7A\nG4R58QIA4Hqf3NKFlh070BSAEAS23bJzaRfs6WkQWcGq0tFw+wnj4GAHUpqMZ5cF+kDjUYQgtgXi\nupDX+b+JrcPzgw3pJ1vxb19xEDcc6sGzFxfxrWdrE2zsRdgPo/iSYsnylhbhZ7NQjhwGAWmL/GkA\nONZ9GABwae0KgHIBvv/EH/E8WFevQBsfR0GkQ6HaoQIOAEe76O/FlewUBFmmjeNzc20lTBqFNTEB\nQVVh99M1qB4LyhNR8+XWMagsV7xqI2Y1Hzi3oUQsXpiAGrgo9o/FUhhj0DzwfohWEe5C+zQccwHe\nIMwLLwGCgNkBpcUWlLDqp9I39qTbUIjnwZmbRaFzABAan4DCEEUBJw90Yz7rQBoYgj07uy8faPXg\nrYUNmCwBJcwAz67SuLOXHdva/12OKAh497+/EWldxpefuIDZxY0Pu/Uwy4MXDqNJyr1ghnFb4mGa\nr90uFfBurQt9eg8ur12hUYRlWeD7DXt2BsRxoB85RpN4BBGK2LoJiOVseBEaHqFDm8LEov1CYFlw\nZmegHzqMYkB3v2qtgM8sFnD2ygpuONSD8W0iUKMKeBUBfmysC5oi4ezVZZ6EUoXZZ18AACiHj8Z6\nnEPDHZhPsYE87WND4QK8ARDPg3X5EoThIdhqPHFThBB851/n8L0Xr2/591i1y4uqfskQHZvhXL8G\n+D6uKd2QJQGHh+NLHT59iFY7Cp39ILYFb7m+psH9hp+rTEBhGeCzswQZQ8HR0c66Pq+nQ8N/uvMG\nOF6AP3nsBbje1vYqI7RjsSg+PyH3Amv+Cw7QCnM7WB8YR7uOoOAWcb24AHVwCBDFfWlBscKXIP3o\nUZieCUPWY63w1cORTpo2cXn1CoD9uxNhTV4FCIkaMIHaK+Cs+v2GGoaAZTaZhgnQQW2nDnZjbqkI\nK0Vtiu1UgW01xYu0WXzwlhtiPY4siRAPHAYA5F66GOux6oEL8AZgTV4FcRyQw/RmbfQDz/MDfOFr\n5/Df/r8X8cBjL2Dyem7Tv8uO7YZjd5M4gKQc5v++EmRweLgTilw98q4RnA7zwK9JVFjaCW/E9MII\nwpIFhQrw/JqCW472QhTrFyRnTg3g1S8bweR8Hl/9+60jpdiLsKOE90JCBLh56SIgSbBHWPxde1TA\ngfLq6wQEWYYyMLgv7Q+sysYq4O30EpRR0xhKDeBKdhIBCfZtEgrzf+tHjkaDcmppwsybLv7h+Tn0\nd+l42TYpTUDJgpKv4gEHgBvDwswlk/aiONyCEqFcm4QtKjh0SzwJKOUM3nACPgRkL1yI/Vi1wgV4\nAzAvvAQA8A6xilPjHni5ooPf/5/P4ql/ncNQjwFCgIf+9jyCTR5YG0VHMnyvm2FPUQE+r3TH5v9m\njA9mkNblqBHTmdl/lb16iCrgHes84E5tD7bNeMftJzHYbeBvvzeJibnspn+PWVCscOc/CS+jgePA\nnpqEduAgLKG9vMcAcKzrMADgUln1NSgWoomp+wXr8mWIug51ZASmb7XVNQCoD9zybczkr5WSUPat\nAD8SVcBrsaD83dNTcNwAb7ztQE1FglIKyiYC/HAvAOD5JTptlFtQKNZaFp3mKlY6h6Br8duzThwZ\nwILWA+HaDIjnxX68WuACvAEwAV4Yp6KiUZ7L2cUCfvvBf8ZLU6u47dQAPv7zr8ArbhjEpdks/v4H\n1cUdS0GxmehI2ATA9bA4wHmtOzb/N0MUBJw62IPLHl2Q7dlkV8DXD+FZNlcgBCrEQMXNR3p3/Lma\nKuE/3XkahABf+NqL8PzqVhQmeiyZvqwm4V6wJ68Cvg/j2HFY4bCVdhJ/w+lBGLJR4T8G9pf484sF\nONfmoB85igAEju/AkNrnGgBUgAPA5bUrUPbpMB5r4jKkjg7Iff2RON7OglK0PDzxzDQ6Ugpefevm\n0YPlbCfAxwbS6EyrOHt1FcrAIBfgIVPfp/7vYCSeATzrOTraiTl9AGLgw56abMoxt4ML8F1CggDm\nxQuQ+/pgZqjqbcQD7/mJJfzOQ89gYdXCv/83h/FLb7kZmiLh7a8/AV2V8OffulQ1EzkaNRyKjqRN\nAFyPPT0NU8vAknQcH4tXgAPUhrKqZEAkOfFJKOUWFJYB7ps6Tox3IaXvruJx+lBPOCWzgK/909Wq\nf4fdC0WZCvQk7AaZ4QAe/egxFCMB3j72B1EQcazrEBbNJazZubJGzP2zW2RNTACg1gfTD6+B0j7X\nAACOdYU+8LUrkAwDUnf3vhLg3toavKUl6EeOQhCEyJ+9XQX8f39/GkXbw5t+5AC0TSb0rkeVVKii\ngrxTfcy5IAi48XAPsgUHXlcvgmKx7Uait4Lls+cBAB2n4refAICmSHCHqU04d7E9fOBcgO8S59o1\nBPk8jBMno/G+u33gPfHMNP7rI8/B9Xy85yduxE+++ijEsIGnp0PDW378KAqWhz//1sZu3mjcM6v6\nJcT3Wg2/UIC3soxrSheGe1PoSKmxH/P0oR4QQUQ+0wtnH0/5qwWWqiB1dkYZ4MQ28EN1xA9uxU+9\n9jh6OjT89XeuYGZh4wON3QsFiQ7gSUIOOGvANI4da8sKOAAc6zoCgIq//ZgFzq6BfrTsGrRZBXww\nNYCMksblNfryqg6PwFte2jextdaV0ksQgJqaMG3XxzeenkJKk/H6H96++bKcHr0bC+YS/KD6sK8b\nD9Edv1WZhgDwKjgQTNJrdODl8QzgqUZnOG1z6exLTTvmVnABvkuY/aRSgO9ssfWDAF/6xkv40t+9\nhIwh49fv/mH82E3DG/7e7WfGMD6QwVPPzeHC9GrFn6Vk+oZfZKIjwQKcNUFel+P3fzPG+tPoSCmY\nEztBHCfRHe9+LgcIAqRMR+T/DmyjrvjBrUjpMu590yn4AcEX/uYcgqCyL0IWZVqZkqjfz09ABdy6\nfAlSZyfkvv5S9bXNBPjRskZMdR/aH8qb/3b7TIgLQRBwpOsQlq0VrNprpReh69dafGaNodz/DVB7\niAAhsmhW48lnZ5Erurj9zDgMTa7reKd6jsPybUxkq1sbWB74lKcBAJyEC/DA95FZnsWq1oWB0cY8\nD2rh8E1HYYkK3KsTTTvmVnABvkvMi+UCnIrdnSy2RcvD577yHJ74l2mMDaTxW++6bVPLhCSKeNe/\nPQWANmT6ZVVWRZQhCxLyXIBHCSjzWk/s/m+GEPrAZ0Va6XASPBHTy65BSmcgSBIWClSAp8UOjPTV\nPo1uO2490Y9X3jiEy7NZPP7MRs+9IRvIhYNQ9vu94C4vw1tZgX7sOARBQDFcj/Q2q74e6hiHLEi4\ntHoFUioFqWv/2B8IIbAuX4bc1we5qyt6JrRLFns55Q2x+y2TPRLgh0sV8JRsQBT+f/bePD6q+7r7\nf987+6bRvqFdQhJCgBD7ZhYDNhjve7ykTZM2SVs3cdO06dMsfdLEbtK0za9p0zxxmtQJduw4NnZs\nY2OwMQbMviMhhPZ9l0aj2Wfu74+rERJIIIGkmRH3/XrxYtG9uod7NPee7/me8zmjhzxeX4D3jtSj\n06jYtCR9wtcripPfx+VdFaN+PTZKT3KskYsDcmB/qw/j6bhUh24aBvBcSV5aLK26OHS2LvwD158l\nMdUoAfhN4qy8iGg2o01JveFsR3uPg+/9+hjnarqZnxvH3z+5iPjoa5ex5KVZWTM/hcaOAfYcuxx4\nCIIgBx2qYNAx87N+Y+EZDMA7tDHMTouetusWZkTToZUzHreyFKHf1o8qSl6IXGyTX+w58cmT/sB9\nfONszAYNr++ror13ZJBt0BiwiXKvxEwPwF3Vcl2jISdX/vvg8+haWb9QoFFpyIhKo9HejMvnRpsy\nc8ofvJ0d+O39Qz4IvhPCZRrpcLKH1YHPpGZYSZJw1dSgSUhEZZaH6Ni9A5i0Yy/8D5xroaffzbqF\nqdccOz8Ws6NzUQkqyrpHD8AB5mbF0iHIJTC38s4oQMvp6RnAcyVGvRp7rLzYtFeFfiCPEoDfBN7u\nbnydnRjyZiMIwrAt3/G/8C429PJPLx6npcvB5iXpPPPg/HFvfz20LheTXs0b+2vo6b/88jJo9NgE\n+e8B58yvex0Ld2MjfkHEY40jKWb6gpDCjBg6tXLG3dM8c2pbJ4Lk8xFwDKCKku9DTZe8tT0/feLZ\npesRZdTymY2z8XgD/O/OCyM0pY3qwc+CIMz8ADw4/CU3D7gc/IVbBhzkOvCAFKDWVn85+zoDgr+h\n+u/skQG4PowaYYMEdyJGBOAzIAPubW8n4BgYqv+WJIkBr2PM+m9/IMDOQ3WoVSJ3LM24oWvq1Tpy\no7Op72+if4xmzKKsGPo0ZiSUGvCBwSbIhOLCab+2bvDnou3shWm/9pVMrNBJYQTDy08AnF555LB2\nnCOHD5xt4Vc75R+Cz95ZwNqSWRO6vsWo5eH1efxq5wV+u6eSL91XLNujNtAiykNPboW619GQAgFc\njY10aaLISY+d1m2ulDgjWGPximrct2gJim9Q11ltkTPgHY5uMEFp1uQH4ADLipI4VNbGmaouPjnT\nwm0L5KDOoDYQQELQ6WZ8AO6srgJRRJ+ZJf/d50QURHSq8TUf99ndXGrqw+sP4PdLeP0BfL4APr+E\nzx8Y/CX/WT4mQEK0gTuXZaASJ5bLyRmWfV0xrBEzaHuk4qoeLH3IkV/yE90VDUgSlQ29OFw+fAFp\n8P6PvPfy/ZfwD/pBJQqsL00j8Tq7pleiUWlIt6RR19+Az2JE0OlmRDOsq3Zk/bfL7yIgBcZUQDlS\n1k5Hr4v1pbOINutu+LpFsflc7LlEefdFliaXXvX1gowYAqIKh86C5hYPwLWtDXgENfnz86f92snz\n5sB+sIeBEooSgN8EQw2YeXJnbXDgwniCvfO13fzPO+UY9Wq+fF8xc7JuTBd59fwUPjnTzNEL7ayp\n6aI4Ow6j2oAHP4JWe0soP4yGt7MTPG7azanTWn4Cg3XgmTF0VFjRtLQg+f0IqqmbwBmOXFZAsdLW\n48Aj2lEHtFj04xsFPVEEQeDpOwr4hxcO88qHl5iXE0eMRTcU+IgxMXjaWgm43Yi6G3/JhisBrxd3\nXS26tPSh/5/T58KgGt/zqNvm4ju/PIrd6Z3wtVu7HPzxXXOGlJrGQ86w+uN1KauAGZIBr6kClQpd\nhrzAmEhfkCRJ/GrnBfafmfh9OHqhnb97opR468SC8JzoTGpsddT3N6JPTsHT1IgUCCBMcEEVTgxv\nggWwe4JDeK5+9gQkibc/rUUlCmxZdmPZ7yBFcQXsqHqXsq6KUQNwo15NTkoUnY0mTD2tBDweRO3U\nK3OFGy5bP1GObtqts9Dqpv//n1eYzkW1CX1bI5IkTWty7kqUAPwmcF68iKDVDmVtXIMvvOthG/Dw\nwh/KEEWBZx8tITsl6oZtEAWBpzYX8I+/Ospvdl3ku3+ydOhhL+j1t2wNeLABs0MXw+3T1IA5nMLM\nGDq10aS6u/C2tw1ts98qXJ6CaeF4ZSeC1olVM7Xd7rFReh5Zn8eL71fwm10V/MUD84amYYrFhfg/\n+IiBc2exLFo8pXaEAndDPZLPhz43d+jfnD7XuJr/fP4AP33zHHanrACRGm9CrRJQq0Q0KhG1SkSt\nFlCLImq1/G8qlYAgCPzPO+UcONeKXqfmMxtnj/tlZtaaSDYmUmOrQ5VxPxD55Y11j40AACAASURB\nVA8Brxd3fb28CBoMrCaSAd93upn9Z1rISDSzojhZvu+Dfrj8SxjhA41K5NSlTnZ8UsO/vHyKv3uy\ndEJZ3FxrFnvYR3VfLSXJKbjravF2daJNSLyxmxAGuGpqQBSHFkE2j7wbN1oG/ERFBy1dDlbNS57w\n4uVKUk3JWLVRlHdfJCAFRm34nJMVS88pM5lOuV9AlzqxXe+ZQP2JMgQgkDo9A3iuxGrS0mNJIqun\nGk9HJ7rEhJDYAUoAfsP4BwbwNDdhKChEUMu30eFzkmS4dpARkCR+8U45fQMeHlmfd1PBd5CMJAsb\nF6XzwbEGdh6qxxA/+CDR626J6X+jEZyA2W2IJTPJMu3Xn5MRwxtaOfPubmq65QJwX19wCI+VkzVN\nCAkBUqKmXm7qtpJUDpe1cbKyk2MVHUMDUHxzZ8MHH2E/cWxGBuBD+t85eZf/zeci3nB9zfXX9lZR\n1WRjWVHShIJogK8+soB/fukEe443YtCpeeC28TdV5UZncaD5CK0aJ6JeH/EBuLuhQV4E5VxeBDm8\n48uA17TY2P7BRUx6NX/xwLzrNuEPJyPJgs8f4O2Ddfzot6f4+mcWjnvmweWJmHUsTblcBx6pAbjk\n813eCRpcBAUbIzMtI7W9pcHstwBsXX7zwaAgCMyJy+dQyzEa+pvIjLq63G5uVgwfawa1wNvbb8kA\nvLv8ArGAJX96BvCMSlom9FTTdPo8OZvWhcyMyN1nCjHOqkqQpKHyE3/AL48cvk6zze6jDZyt7qI4\nO5bNSyevHva+NdlYzVre/rQOyScvCCSdlsAtOgnTUSfrsRrS09Gop//HPDHGgCtaXlnfikoowQy4\n32CiqlNuwEw2T84AnmshCgJ/tKUQjVpk+64KVMgvYVeSFXV8PANnThPwTrzMItxxDZuACfLzyOV3\nXzfwO3ahnV1HG0iJM/LZOwsmvB1rNmj460dLSIw28PbBWt47PP4Rz8GBPDV99WiSU/C0tSL5Rx9k\nEglcXgTJi5CAFOBCTyUGtZ4YfcyY59mdXv7rjXP4/RJ/es/cCQXfQe5fk8PGxWk0dQ7wr6+cxuHy\njes8i9ZMoiGeGlsdmmR55oQ3gkuB3E2N8iJosP5bkiROtJ9GK2ooji8acezZ6m7q2+wsmZNIStzk\nlMYVxcpyhGVdow96yZ1lpV8v78jeqo2Y/vpaADJKp28Az5XEFMq1513loR3IowTgN4izshK43IDp\n8suqI9d64dW22vjd3iqijBr+ZFvRhGomr4dBp+bx22fj8we4UCN3Yft1GiSvd0YGHNfDUV+PU9SS\nlhOaDIMgCMTkZgHQVzv+oGSm4B8cQ19nB0kjl0HF6W+sz2GiJMUauW9NNjaHl7MXZTscPheWhYsI\nOJ04ys9Pix3TibO6CpXZgiZRzlxe6JED8hTT1YO8grR1O/jlznK0GpEv3z8PvfbGNkSjzTq+9lgJ\nMRYdr350ib2nxtd4PFQH3leDLiUV/P6Ilmdz1YxUQKnqraXX3UdJwjw04uj3NhCQ+H9/OE+XzcU9\nq7OZl3Nji1RBEHj89tmsmZ9CXVs///7aadye8S1mcqxZOH0u+qzyYjWSa/GvrP9utLfQ7uikOH7O\niGZkSZJ4+2AtAHetyJq06xfGzkZAoHwMOUK1SiQ6Xd4N7W+K3Pt8owT8fizdzfRpLcTPCt0uS9bC\nOQQQCDTUhswGUALwG8ZZeREEAUNuUG7q2gMXnG4f//3mefwBic/fXYTVNPnNB0sKEynKiqG1XQ64\nfXFyeYvz4tjapDORgNsN3R3yAJ706W3AHE52fjouUYOr8dbLgPsGM+BlnV4ErfzZiDOMnQWcbDYv\nSScz2cKlejn4d/pcmAdLT+wnjk+bHdOBr7cXX1cX+pycoQz20dYTACxNXjjqOR6vn/984xxOt5/P\n3lnIrPibywDGRxv42mMlWIwafv1eBYfL2q5/jiGWKK2Fqt5aNCmRr0Ptqq5GNJrQJCUBcKz9FACL\nk0rGPOetAzWcq+5mXk4cd6/KuqnrC4LAZ+8sZOmcRC419vGT18/g9V0/CA8q0tRq7SAIEV0K5KoZ\nOYL+RPtpAEoTF4w4rqK+l0tNfZTkxZOeaJ6065s0RrKiMqix1Q+VH11JemEWAH0Nka84M1Haq+rR\n+9044tOuf/AUkpAYTY8hBktvW0gTlEoAfgMEvB7ctTXoMjIR9fJ2oeM63e7bP7hIe4+TO5dlUJw9\nNVvxgiDw5OYCREmWQeydkwWA7eCBKbleuOJpbkJAHsAz1jTR6aAwK5ZObTSq3q5bbhcimAE/2eRC\nZ5J3h2KvsQ0/2ahEkT/eUogYkD8LNvcA+pxcVNHR2E+djOhShytxVo/U/3b53JzuOEe8IY6sqNGV\nHX7zwUUaO+ysK0llxdyxs+QTISXOxLOPlKDXqXjh7TJOX+q85vGCIJBrzaLPY8MdOzg5NkJl8Pz9\n/Xg72tFnZyMIAv6An5PtZ4jSWsiPyR31nDNVXfzhQC1xUXq+cPfk7IiKosDntxVRkhfP+doefrrj\nPD5/4Jrn5ERnAVBlb0STkBjhAXg1gk6HNiVVLj9pO41WpWVu3Ei96bc/rQXgrpWT3whYFJdPQApQ\n0TO6zF1RfioOUYe/M3J3e26U5lPy7qN2mgfwjIY7MQ215KepLHQDeZQA/AZw1dQg+XxD5SdwueYr\nxZR01fGfnmvl4LlWslMsE2pSuhGSY40szpPLLg65fWiSkrCfPI5/hmsgD8fZIJd8eOKSbmiq2WSR\nYNXTb4pDlAK4IzizdyP4bTbQaul2SZij5XrU6QzAQW5OW1Uk91mcqW1FEEXMCxcRsNtn1K5QsP47\nOH3xTOd5PAEvS5MWjlrT/ckZWW0jM8nC4xsntxEqM9nCXz20AJUo8F87znGhrueax+dGy7W6TUZ5\ngRqpwZ8zWPow6IPy7osMeB2UJs4fVQ2js9fJz/9wHpVK5M8fKJ7U55RaJfKl++YyJzOGU5c6+cU7\n5QQC0pjHJxkTMKoNgwN5kvHb+/EP6vhHEgGXc0hLXhBF6vsb6XR1Mz++CK3q8v2tbrZRVtvDnMwY\nclMnP0ETHEtfNsZY+lkJJvp1UegcffhvscSM45Ic7CbMmxNiS8A4WL3QdPxMyGxQAvAbYEj/e7b8\n8gpIAQ42H0EraliUNHKrq63HwYu7KtBrVfzZPXNRq6b+lq+dJ6/qL7V2wYIlSB4P9uNHp/y64UJ3\npbwNac4MjcxREEEQ0KbK9X6tF6pDast04+u34dHKZQ2CzolJbRz3MJLJZFOpvOBt6OrhYkMvltJF\nAPQfPzbttkwVruoqEIShxrMjg+UnS0YpP2lot/ObXRcx6tR8+f5iNOrJ16fPT4/mLx6YRyAg8ePf\nn6G62TbmscHyh0uqHlCp8LRGZgb8cgOm/FI/1iaXPoxWfuL1+fnPHecYcPl4cnM+Wck3r4R1JRq1\nimcenE9empXDZW28+P7ICbHDEQWRHGsmXa5upAR5d9bT2jrpNk01rtpakKRh5SdyYHVl+Umw9nvb\nyqwpsSPDkoZJY6Ssu2LUey4IAr7UTFRSgIoPPpkSG8IVTWs9XkFFRggG8FxJ3roV+BEQTh0iELj2\nLtFUoQTgN8BQA2ae/EN0saeKLlc3pUkLRqig+PwBfvbmedweP0/fUUBizOiTuCabqMFhJ5LKy1u2\neBAEbAf2T8u1w4GBunokIGXO6Fu/00nsHPlnpPvozAn4rocUCODv78cmaFGJ4Aj0EzuN9d/DidIN\nLgJUPn69qwL97HxEsxn7yeNIIXroTiaSz4errhbtrDREvYE+dz8XuivJisog0ThS39bp9vFfb5zF\n6wvwJ9vmkHADahvjpTgnjj+7Zy4er59/e/UUjR2jj+dOM6eiVWmpstejTUzC09IyZqAYzgxv/vP4\nPZzpPEecPnbUEqDtH1ykrrWf1fNThia2TgU6rYqvPLSAzCQL+0638Ns9l8a8t8GG2B6r3CwaiQuh\n4fXfsvrJGfQqPUWxl4O9hnY7py51kjfLSmHG1PQHiYLInNh8et19tAyM3guRvmUzALaPP5oSG8IR\np82O1dFNb1RSSAbwXElsaiKdybOJcXRTfSQ0WXAlAJ8gUiCAq6oSTVISaqu8fbW/+TAAq1KXjTj2\n9Y+rqW3tZ1VxMssnqc5yPAQXATFWFac7A0iZeTgrL+K5BWSPJElC7GilR2NhdnboBPaDzF1TSqcu\nGlP1edzdXaE2Z1oIOBzg99Md0JKbYcAb8BI3zeUnQYJZd2uUQFPHAOUNNswlpfj7+nBVha72b7Jw\nNzYieTxDzeDH208hIV2V/ZYkiV++W05bj5MtyzJYOHvqPxuLCxP53NY5DLh8/Oi3p2jruXoomEpU\nkR2VQctAG2JSIgGnE39f35TbNplIgQCummo0iUmozGbOdpbj9ntYnFRyVQnQJ6eb2Xe6hYwkM09u\nmvosoFGv5tlHF5Aab+KDYw3s+KRm1OOCAXijwQNEZjPs5RH0OdTa6ul29TA/oQjNsPKTdz6tBWDb\nyswpnYA4JEc4hhpK7oLZtEbNIrargY5LdVNmRzhRf7IMEYlA6s1NHJ1M4m/fAEDL+7tDcn0lAJ8g\n7sYGAk7nUP13v8fOmY7zpJiSyB6W7Thb3cV7R+pJijHwxObp3W4xDgYdsbHy9vJZi/xyvhWaMX29\nPWi9TnqMcVOa4RsvZoMWW/FyRCQuvrEz1OZMC77BBkyHSk9WppxRm+767yAqUYVWpcU4KPLxwbGG\noUE8/Scif1fCWT1S//to6wlEQWTRFdvuu481cqyig/z0aB5YO30NUKvmpfD4xtn0DXj4l5dP0W1z\nXXVM7mDwZ4+Rn1uR1ojpbW8j4HAMlT4cbxtd/aSutZ/ffBAs/5mHVjP55T+jYTFqh7Ta/3Cwlp2H\nrg74MqPSUQkqLmjkmv1IrMV31VSjiopCHRs7VH4y/HPQ2u3gaHk7GUnmG5Z7HC+Fg1n38jH0wAVB\nQLtiDQCX3np3Sm0JF7rKLgBgyQ99+UmQ/NuW0KeLIraxnP7u3mm/vhKATxDnpZH634dbj+OX/KxK\nXTa0ou6zu/nF22WoRIEv3lt8w/q6N4pGpZF1Z1VeclOj2D0QA1od/Z8enBHb7tei4+JghicxZUoy\nHL6Aj9YxthXHovjezbhELdLxg0i+8Q3IiGSCQ3gGVHoSEuUt7+nSAB8No9pAQPCQmxrFmaou+pOy\nEA0G7CeORWS5w3CCWXxDbh6tA23U9zdRFJuPRXtZWu1SUx+vfnSJKKOGL947F5U4vY/9TYvTuW9N\nNl02Fz965dRVQ2KCKhxtZtkXkZZ9dVUPZl5zc3F4nZzvukCqKZlU8+VdzwGXl/8cLP/5wt1FJE5z\nciDGouNrj8ta7b/bW8WBsyPvsValId0yi2pvG6LFEnE14L7eXnzd3XL5CXL5iUFtoDD2cpPxu5/W\nIQHbVmRNafYbwKqzkGZO5VJvNW6/Z9RjFty1jgGVAXPFSbyuqxemM43A4ACetIXFoTVkGCqVCl/J\ncjSSn/M7dk379ZUAfII4Lw42YOblI0kSB5uPoBbVLE0uBeRR8y+8XYbN4eXh9XlkJk//GHSQy1Cc\nPieblqTjETV0pObj7ewYaiCdqbRdkDOClqzJb8BsGWjjh8d+wncP/4iT7WfHfV5aaixNacXoPQ5q\n9+ybdLvCDXePnEkQLVEE1INDeEJUAw5yGYrT52LjYlkRZc/pVkzzS/B1deGuqw2ZXZOBq/qSrD2d\nmMSR1pMALBl8FgH0Ozz8dMc5ApLEn91bTLRZFxI7716ZxcZFabR0OfjgWMOIr2VHZSAgUK2VlTci\nLQMelIE0ZOdwquMcPsk/IvsdkCR+/ocyOvtcbFuZxYK8+JDYGW818DePL0SvVfG7vVV4vCOlOHOs\nmQSkAIH4GLwd7QS8oweO4Yir9nL9d3VfHb3uPhYkzEU9OACps8/Jp+dbSYkzUlowPaWJRXEF+CQ/\nlT2jl7oZjHr68hei83soe2dm14J3NrYR21lLn95KfFroBvCMRtG9d+ATRMQTB6e9GVMJwCeAJEk4\nKy+islrRJCZyqbeGNkcHCxPmYdLIDZbvH67nfG0P83Pj2LQ4dGLzBrUBp9fFooIE4qJ0fBSQm31m\nehmKc3AEfUrR5MmrSZLE3sYD/PPRH9Nob0ZA4O3q9wlI4/+wztp6BxLQtfuDSbMrXGktkxdBielJ\ndLnkLe1QlaCA/Flw+JyU5scTY9Gx/2wL2vlyjXQkq6H4bDa8HR3oc3KRBDjadhKdSsv8wZHbwcCv\np9/N/WtymJMZOh8IgsADa3MwGzR8cLRhRBZcr9aTZkmlXCX3SERa+YOrugpBrUaXnjFUfrJoWAD+\nzsFazlR1MTc7lvtWZ4fKTECWqd24OA3bgIePT41c6ATrwG3ROpAkvO2R0zM0vAl2tPKTnYfr8Qck\n7lqROakTqK9FsPmzrHvspFfu3fJ7wXXg42mxKVSUv/Q71FIAacX6UJtyFdbEOLpSC4h29VJ54MS0\nXlsJwCeAt7MDf18vhrzZCILAgaHmy6WArC/6+r5qrCYtn7trzpRvc10Lo1qP0+dEFARuX5ROtSYR\nrzma/mNH5UmRMxCv24OutQ6PoCajcHIy4H3ufv7rzP/wu4tvolVp+cK8p1mRsphWRzvHBl+246F4\nUT4N1gyielroKp+5uxB+u53A4X0MqPTkrllKl6sbCG0AblTrkZDw42X9wlm4PX5O+uMQtNqILkMZ\nkr7LzaW6r45uVw8lCfPQDo7cfvtgLedqupmfG8fWFaGV5ATQa9XcsTQdh9vH7uMjs+C51iycagmi\noyKqBCXg8eBuakSXkYnN76Si5xLZURnEG+SSq/O13ez4pIa4KB1/encRohi6d0KQzUsy0GlUvHu4\nbsSkzGAA3mqS/y2SFkLBAFybmcHJ9jOYNEYKYuTBVD39bj453UK8Vc+yoqvndEwV2dZM9Cod5WPo\ngQOk52fSFptJjK2V5rMzZzbBcLqa2omtPEm/1szCh7aG2pxRSdx4OwDtu/dM63WVAHwCDJWfzC5g\nwOvgZMdZEo3x5EXn4HT7+Nlb5wgEJL5wdxFRxtDK7BjUBnySH2/Ay20LUtBp1ZwxZyO5XTNuFHeQ\n4y+9icVjpyevBI3m5uvuz3aW8f0j/0pZVwVzYvP5+6VfpSShmDuzNqISVLxT8wH+wPgmKoqCgH61\nvPqv3vH2TdsWrlS+8ns0fg81uUvJz0um29kTMg3wIEFVIKfPxdqSVDRqkd1n2jEWz8fb1oanuSlk\ntt0MwQBcn5M7pP0dLIVrbLfz5n458Pv8tsmZsjgZbChNw6RX88HRBpzuy1nwYPDnjDXh6+mJmMFh\n7ro68PvR5+Rwsv0MEtJQ9tvrC/DiexcQRYEv3z8PS4jfCUHMBg0bFs2iz+5h3+nLQbZVZyFeH0uV\nVpaMjJSFkBQI4KqtQZOURI23A5unn5KEYlSi3OS645NqfP4A21ZmTWv/g1pUUxCTR7uzkw7H2ApY\nptvWAVD7znvTZNn0UvbSa2gkP/4Vt6MJA/nB0Zi9qpRefQzxTRX0tk2fWpkSgE8A56XBADw/nyOt\nJ/AFfKxMWYogCLx9sJaOXhd3Ls+gKCt0DWdBggGPw+fEqNewen4KR7VyFsx2cOZpgtt7bBgO7cYt\napj3R4/f1Pdy+z28fOH3/PeZX+Hyu3lo9j18ecHniNbJspNxhhhWpS6l09nF4dbxL2ZK71xFt9aK\nufrcUJ30TMLT3U3g8D761EYWPn4vkiTR5eoJmQZ4kGAA7vA5sRi1LC9Kor3XSfcsWSrMHqFlKM6q\nSyAIqDMzONF+Buvg2HNJknh5TyWSBE/dURjSabBXYtCp2bw0gwGXjz3HG4f+PXewEbPTIr+SvBES\n/A1XoTnWdhIBYWjwy57jjXT0uthQmkZ2yuQP27kZ7liSgVYj8u6hOry+y6V0OdFZtJojKwPubW+X\nVWiycq4avlPf1s/+My3Mijexat70SQEHmTM4FbN8DDlCgHmb19CvMRFVfRZX/+h6+ZFKd0snsReP\nY9eYKAnT7DeAKIoESlegIkD5m9O3EFIC8AngrLyIqNejnZXGweYjqAQVy1MW09I1wK6jDcRb9dy7\nKrQ1fkEMmstZP4BNi9Po00bREZWC40I53hmmSX3qf1/B4HfTX3ob0Uk3LjFVb2vkn4/+mP3Nh0k1\nJfP1xX/J+vTVV42TviNrA2pRzc7aPfgC41M2MRq09BcvQyUFKH/jnRu2MVyp2P4q6oCf5rlryE6P\nw+4dCKkGeJCgLGfwsxBsxtxtsyCo1RFZBy75/bhqa9CmpFLurMfpc7I4aSGiIHLqUifldT0U58Qy\nP3dq5dZuhI2L0jDq1Lx/pH4oCx6tsxKnj6VeL2e+IyX4C5Y+OFPiqLHVUxCTh1Vnwebw8IeDNZj0\nau5ZnRVaI0chyqRl/cJZ9PS7Ryii5Fiz6DeKSGpVxGTAh8pPsrI42X4Gs8bE7Gh5GM+rH11CAh7Z\nkDft6j8wvA587ABcq1UzULQEbcDH+bdmVo9Q2XY5++1dsQGtITQN4ONl7n2b8QoqNKcP4/ePb2f7\nZlEC8HHis9nwtraiz82j1t5I80Ar8xPmYtaYeHl3Jf6AxKMbZk+btuv1MA5tu8svtMQYIyWz4zmq\nywJJwvbpwRBaN7l01DUTc/4Qdo2J0qceuqHvEZAC7Kr9iB8e/wltjg42pK/h64v/klnmlFGPj9ZZ\nWTNrOd2uHg42Hx33debffyduQQPHZpYkobO1Fc2ZI3Rrolj2+DaAsKj/huGLUfmzkJ5opjAjmrNN\nDoS8QjxNjXjaIkt2zd3UiOR2o8/J5ejQ6PlSfP4Ar3x4CVEQeGzD5DUiTyYGnZrNS9IZcPn46OTl\n8p/c6CxazHI21h0hSiiu6mpUFgunfHLzd7D85M1PanC6/dyzOhuTPnx2IIZz59IMNGqRdz6txeeX\n73uuNQtJFHBEG/G0RsZU0mAA3hGvw+4dYGHifFSiirPVXZTV9jA3O3bKdb/HIs4QS5IxgYqeKrzX\nSNQU3nsnfgT8R/ZHxD0fDz2tncRUHMWuMbHw4W2hNue6WGKj6UqfQ5TbRsXH43+n3wxKAD5Ohut/\nD2++PFXZybmabuZmxVCaHxp5qdEYKkHxXq6l3LwknQpzJn5Rje3ggRnzQS//35fQSH4Ca7egN01c\nX7fb1cOPT/6MN6t3YtGY+IuSz/Pg7LtHTFAbjc2Z69GKGt6r3YPH7x3XtZJSYmlNn4vRM8ClD2dO\nKVDFiy8jSgG6F60nOV6W3uxyygooodQAh9E/C8EseIVJHp4VaX0RwfpvVVY65zrLSTElkWZOYc/x\nRtp7nKwvnUVqvCnEVo7NxsVpGHRq3jtcj9sjZ5tyrVn0RAVHoYd/9tXX14uvuwt9dg7H2k+jFlSU\nJBTT1GFn76kmkmONrF84K9RmjonVrGNtSSpdNjcHz8kL0GRTIga1gU4LSG43vp7uEFt5fVy11aBS\ncVIjz2coTZyPPyAvRAUBHl2fF1L7imIL8Pg9VPfWjnlMYkYy7Ul5RA90UXds/BK34cz57b+Xs9/L\n1od99jtI6uZNAHR9OD3NmEoAPk6C+tliThYn2k4Tp48l25zNy3sqUYkCn9mUH1LVkysxqkeWoADk\np0eTlBpLhTENb1vr0Es8kqk7XUFS/Tl6jHEsfGjLhM8/33WB7x/5Ny711lCSUMzfL3uWObHjm9QV\npbWwNm0VfR4b+5sPjfuaqXfdCUDPDJEktNXWYbh4mnZdLCsfveyDYAY8lBrgMLIJM0hJXjzxVj27\nbFYQVRFXhhIcwFNl9eGT/CxNKqXf6eWtA7WY9GruDbHc3fUw6jVsWpyG3ekdyoLnWLNw6AV8OnVE\naIEHB/B40xJpHmhlblwhRo2BVz66hCTJZQ9qVXi/Yrcsy0StEnn7oJwFFwWRbGtGxCihSD4f7vp6\ndGlpnOwuJ0prIS86m32nmmnpcrBmfippiebrf6Mp5HId+LXVr2LWy2PRm3a+P+U2TTW9bV3EXDjK\ngMZIyaPhn/0OkrN0Ht3GOOJbL9HVNPUynOH9dAgjnJUXQaXinLEPT8DLytQl7DraSGefi42L00iJ\nC69sk+GKEhSQtXg3L0kfNpo+8jOwDS+9hACY73kAlXpi5T+tA2384txv8AX8PFH4MJ8vfgqzZmJ+\n3Ji5Fr1Kx67aj8aceHYlRaUFNFnTie5uomNwcFAkU/mi7APX6s1EWy6rnYSDBjhcXY4FIIoCty9K\no1/SMJCcibu2Bm9X5PRFOKurEA0GPg3IA0gWJ5ew45ManG4f96zODqvGy7HYtCQdg07Fe4frcHv9\nJJsSMWqM9Fg1eDs6wr5EKziA51KUvPu1KKmEs9VdnKvuZk5mDAvCsP7+SmIsOm5bkEJnn4vDZXIG\nOScqi+4I2YlwNzYg+Xw4UmIZ8DlYmDgftyfAjv016LQq7l8T+oXo7OgcNKL6mnXgAHPXL6NXZyWm\n4QL2rshu0j/30u/RSD7cS9ehM4ROAWuiiKKIuHglKiQuTEMzphKAj4OAy4W7vg59VjYHOk4gCiL5\npmLe/bQOq0nLPWHSeDkc45Dyw8gRt0vnJNGTmIldbcR25EhETTu7krI9n5LYVUdHbDpzNqyY0Lku\nn4v/d/bXuP0enprzCCtTl9zQDoZZY2J9+mr6vXb2NY6vrl4QBPRr1gFQtSOymzE7yy5gqa+g2ZjE\nyvtvH/G1bmd4BODDFYGGs2Z+CjqNiuMquc7ffiIysuB+ux1vWyuqzHQu9dUyOzoHh03Dx6eaSIkL\n77KH4Zj0Gm5flI7N4eXjk02IgkiONYt2swR+P54wHwTjqqkGQeCQugmdSktRbMFQ2cNjt88Oqx3R\na7F1eSYqUVby8gcC5EZn0hMlJzPCPQAP1n/XWuWMfWnifN75tI5+h5etyzOxhmjy63C0Kg150Tk0\n2VvodfeNeZxKJeJZsAy15KfszcjNgts6e4guP8KA2kDJI3eH2pwJM/eelQjuWwAAIABJREFUzXgE\nNfpzR/D7prYZUwnAx4GzugoCAbwZKTT0N1EcN4ed+9vx+AI8vD4Xg+7mNacnG4MmqPwwMuhQq0TW\nL8rgrDkbyelg4NT4h8mEE36/H9tbv0cCUh97HHECHe6SJPGb8t/R5mhnQ/oaFiUtuP5J12BD+m0Y\n1AY+qNs7oszhWizcchu9WgtRVWdw9Y79UA53arf/FgBx4zaMVzSbdblCrwEOo5eggFwGsWpeMqdV\nqUgIEVMHHsy8tifI93VJ0sIh2cFHN8wO+7KH4Wxeko5Oq2Ln4Xo8Xj+50Vl0B4O/MC5DkQIBXDU1\nkBhPS6CP+fFzOXS2k+bOAdbMTyU9xGUPEyE2Ss+a+Sm09Tg5Ut5OZlQGfVb5sxzuJSjBAPy4roNo\nnZUoEtl1tIEYi47NS9JDbN1lioJlKF3XLkOZe++dl8eiT5MSx2RzZvtraAM+3EvW3VBPVqgxRVvo\nzpyLxWOnfM/UilVEzpM6hATrvyui5QmS6eo5HK/oIG+WlRVzp19bdDwMaR97rx5osa4klQsxskJC\n34HILEM59fp7xA500pY2l+zSogmd+2HDJ5zsOEuuNZv7cm9em9SoMbAx4zYGfA72Nozvfup1GgaK\nl6OW/Jx/Y+dN2xAKmo+eJKqtloaoNFZsXTXia5Ik0e3qDrkGOIxeghLk9kVpDKgNdFpTcF6qxNcX\n/lu/wd6NM8Y+1IIKlT01rGUHr4XZoGHjojT6Bjx8fLqZHGsWPdbwL3/wtDQjuV10J8g/W/Ni5/HG\nJ+FT9jBRhmfBNYKG5Og0bKbwlyJ01dQg6bS0Gn2UJs7njX1yLfuDa3PQhYkiGciNmHBtOUKAmKRY\nOmYVEuXq49L+yEgIDMfW2Yv1/BEcagMLHou87HeQtC1yM2bv3o+m9DpKAD4OggH4fk0j0Tor+w/4\nEYAnwqzxcjjXCjosRi2Fiwpp1sUxcP4svt7wDzqG43a6ED58F58gUvhHT0zo3MqeKnZUvYtVa+FP\nip8cmpZ2s6xLW4VJY2RPwz4cXse4zil+YAseQY1w7EDEZTskSaL51VcBsGy7D4165KOk32vHG/CF\nXAMchpegXL07kRJnYl5OHKc1s0CSsJ88Md3mTZhgA2a5eYC5cXPYsbcRURB4NExlB6/H5iXp6DQq\ndh6qI9WYgs0qT8sL5wx4cBF0wezApDFSWa7F7vSybUV4lD1MlPhoAyuLk2npcnCsop1cq7wT4e/t\nDduppH6HA09rC7ZEM5IokCTmcrisjcxkC8vDLDGWZEwgVh/Dhe7K605PTtokB3/tu3dPh2mTytnt\nv0cX8OJcdBsGkzHU5twwOYuK6TInEt9RQ0fd1D2HlAD8Okg+H67qKnyJsfSpfSQF8mntcrK2JJXM\nZEuozRsT/RXDR65k0+J0zllyESQJ2+FPp9O0m+bEi7/H7B2ge84yErNSx31er7uPX5zbDsDnip/E\nqps8/+nVejZlrMPpc7Gnft+4zklIjqU9vQizu5/KPQcmzZbpoHbvQaJ6WqiPzWHx+kVXfb0rTOq/\nAVSiCq1Ki91jH1V6c9PitMtyhMfDO+sklz5U4Yo149aJaO0ZsuzgwlnMCmPZwWthMWrZUDqLXruH\nT892Yk3Jwi+GtxZ4sAyoJsZPYdQc9hxrIi5KH1ZlDxPlrhWZiILAHw7Ukm0dVgcepmUo7rpakCSq\no7zE6KL5+FM58fHYhjzEMEuMCYLAnNh8HD4ndf2N1zw2f8UCuo1xxLVU0tMS3n0Qw+nv7iXq/CEc\nKj0lj90banNuGvXS1YhIXHxr6poxlQD8Orjq65E8HhrjVQgIVJy2YNKreWBtbqhNuyYaUY1G1FzV\neBYkNd6EVLwQHyJd+/ZFjCa4rbMH8/GPcap0lPzRY+M+zxfw8Ytzv6Hfa+eBvG3kRU/+NvHatJVY\ntGY+atyP3TMwrnPS7pJl+7r3RE62QwoE6HrzdQIIJD/00Kgvu+6gBGGINcCDpJiSaB5o5X/LXsFz\nhVpNUXYspqQEWnRxOCrK8dvDdxy0p6WZgMtFQ6yAQWXg6BFJlh2MwLKH4dyx9PJo9OzoLHosKtwt\n4TsIxlVdjV+tosuqprMuDn9A4uH1uWgmqMQUTiTGGFkxN4mmzgEGOi1DmuzeMC1DCdZ/N8UKzFLn\nUdVoY+HseAoyQr/oH41gHXhZ17XLUERRRFo0qMSxY/rGot8sZ7a/Ppj9XoPBErnZ7yDFd2/ELWow\nlh3D5x3fnI+JogTg18FZKX9YLkS7sfhTcdq1PHBbTkTIfBnVhlFLUIKsX5XPJVMaUlsL7vq6abTs\nxjn9Py+jC3hwLt2AOdY67vPeuPQO1X11LEpcwLq0Vdc/4QbQqrTckbkBt9/DB/V7x3XO7NJC2qyz\niOuqp/VCZOiyV7z7IVH2LhqSC5m7ZM6oxwQlCEOtAR7kC8VPkR2VwdG2E/zL8f+k3dE59DVRENi4\nOI0L5kwIBLCfOhlCS69NsPykPgYsnkycLiliZAevxfDR6M5uC91WNYLHE5aDYAIuF57mJtpj1Rg1\nUVwoE8idFcWSwsRQm3bT3LUyC0GA3Yc68cVHA+G7E+GqkSU42+I0VJWZUIkCD4d46M61KIjJRRTE\n6+qBA8y7dzMeUY3uzPSNRb8Z7N19RJ09hFOlp+Tx+0NtzqRgsBjpzZmHyevg/K6p6ZVTAvDrEJyA\n2ZSgoaM6kYxEM2tLIkPmy6AxXFOVY25WLC1pcwHo2Du+solQ0lJVT/zFY9i0Fko/c9+4zzvaepK9\njQdIMSXxmcKHprRuf3XqMqJ1Vj5uPEifu/+6xwuCgH71egCq3wx/ScKA14vjvbfwI5L7mUfGvJfh\nogEeJEYfzV+VfpE1s1bQZG/hB8f+P852lg19fWVxMnUxOQDYjk/PGOIbwVkt68a3xmtouGgN+2mL\nE+HOZZlo1CInTvrDuvzBVVsDkkRznIpATwogRJTs4LVIjjWyrCiJxg47QnQaAP1N4ZmccdZUMWAQ\nCRij6W7Ts750Fsmx4Zt5NagN5FgzqbM1YPdee4fUHG2hK7MYs3eA8g/Cvzzx9EtvoAt4GChdHZLs\ntyRJnOk4z5tVO2kZaJu075u59Q4A+vftnbTvORwlAL8GkiThrLxIv0mFQ28k0JvAZzblI4qR8aA1\nqvU4fM4xt3EFQWDO7SsZUOnpP/Jp2A++uPS/21ERQLXp7nGPtm2yt/DShdfQq3R8Yd7T6NVT2yCl\nUWm4M2sD3oCXXXUfjuucBVvX0q8xYb10Bmfv9YP2UHL29Z2YXTaasxaQUzR22UO4aIAPRyOqeazg\nfp6a8wi+gI//PvMr3q7eRUAKoNeqWbC0gHZtDI6y82HbeOasuoRHLdBnjiLQH81jt4f/tMXxYjVp\nWVcyi55eCWe0nH11NTeF2KqrCZY+tMap6amPY3lRErmp49+NC3e2rchCAOq7LLg1Aq6W8POBt6cH\nf28vrXFqHG2JGHWasJzHcSVFsQVISFzorrzusemDwV/vx1OrxHGz2HtsWM4clMtCHx9/YmwyCEgB\njrWd4vtH/o2fnf1fdtV9xPcO/yvby39Hj+vmxSUy5hfQGZVCQlcdLVX1k2DxSGbGk3uK8LS0ELDb\naUpQ425LZXlRCvnp0aE2a9yYNEYCUoCfnHqBs51lBKTAVccsn5dKZXQuareT3pPhu/VedeQsSc0V\ndJkTmX/P7dc/AVkB5udnX8QT8PJU0aMkGROm2EqZFSlLiNPHsL/p0LgeAlqdBse85WgkH2fDWJLQ\n63IR2PseHkHNnKceueax4aIBPhrLUxbz14v+nDh9DDtrd/PT079kwOvg9tI0KswZCH4/A6fDTx/f\n7xjA29JCW5waR3syxdlxzMuJLNnB67FleQYatUibJC/cehvCryxrYHBXtM1iRe2J5sEw7weaKKnx\nJpbMSaSzxUh3lAqxqzfskjPuWnkR1BanwdWRxN2rsiKiDGu8deAAOQvn0GlJIqGjhvaaazduhpLT\nL7+BPuBhoGQVxqjp0b/3BXwcbD7C/z30Q355/iVaBtpYkrSQp+Y8QpIpkYMtR/nHQz9gx6V3R5Vi\nngi6FasRgKopaMZUAvBr4Lwk12o1J2hR9Wby8LrwrS8bjTuzbicvOpsLPZX895lf8Z1P/5kP6vaO\n2P7SalSYV8g10fW7xpexnW4CgQCtr8oDX2IfeBiV6vqNTgEpwItlr9Lh7GJTxjpKEoqn2swh1KKa\nLVkb8Ul+3htnFnzug1vxCirEY/vDVpLw1Es7MHkddBQsITUzZczjwkkDfCzSLbP42yV/RVFsAWXd\nFfzz0R/jVHWjmlsCQOuBQyG28GqCNa8t8Rqk7lk8OkPKHoYTbdaxdkEqze4EJMDR3BBqk0YgSRID\n1ZXYDSLdjjTuWJpBnDX8Fpk3y7aVWUhOCz1RGsSAhLez8/onTSP2KnkR1GIxE6dNYENpWogtGh+z\nzClYtGbKuitGTYhdiWb5GgSg8s3wTMwM9NmxnD6AS6VlwTTUfnv8XvY2HOA7n/6A7Rdeo8fVy6rU\nZXx7+df5o7mPszxlMf9n6Vd5svBhTBoTH9Tv5dufPs/u+o/x+m+skXLu1g24VFrMFSfwuid3cnhE\nB+CSJPHtb3+bxx57jKeffpqGhsl9WPeUnwGgwZDAPUvmEmOJLH3XrKgMvlr6Jb6x5CusSl2KzWNn\nR9W7/MOB77G9/Hc09Mtbi6s2LqJdF4OutgKvLfymMp5//xMSeptoT8ih4LYl4zpnd93HnOk8T350\nLnfn3DHFFl7N0uRSEg3xfNp8lE7n9RvJYpPi6EwvIspt48Ke8JOFdNrs6A5/hEvUsODph695bDhp\ngF8Lk8bIlxb8MVuyNtLl6uFHx/+T6FKBLk0U/ovnCbjdoTZxBH0X5Zr1ZrOVdXMKIlZ28HpsWZ6J\n352AzSQitHeF2pwR+Hq6EfsHaI3TYHRksnV5ZqhNmhLSEswsKkikSydnNPsaqkNs0Ui6K88D0Cxl\n8Mi62VfNIQhXREGkKLaAfo+dJnvrdY8v3nY7LpUW04Xjkx78TQanX34Dvd9D//xVmKKnTpbZ6XOx\nq+4jvnXwOX5X+SZ27wDr01fzjyv/js8UPkiC8fJOoCiIrEhdwreXf537crciIYsw/OOhH3Ko5di4\nFj7D0ZsM9OWVYPS5OLdz76T+vyLjp3YMdu/ejcfj4be//S1//dd/zXPPPTep37+/4gJOrYBbNYdN\niyNX3zXNkspnCh/i+6v+Dw/kbcOqjeJgy1GeP/pjfnT8v6gcKMc2ewGiFODiu+GVBfd5vTjf2UEA\ngcwnPzOucy50V/JW9XtE66x8rviJSRu2MxFUooot2RvxS3521o5PYjB9myxJ2LPng6k07YY49evf\nofe76VuwmtjEa0sLhpMG+PUQBZFtOZv54vw/Qi2q+aDjXeozzaj8PtqOhtdQnvby0/LvYnbEyw5e\nixiLjjVzcukxa9E6PPjCSBayt1JeBLVEmXlg+Xz0WnWILZo67l6ZRacoBzbtdRdCbM1lpEAAqb6Z\n7igVCYZCFhVMT2nhZDEnNh+A8nGUoRimMPi7WRw2O6aT+3GJWhZ8Zmqy33bvAG9Xv883Dz7Hm1U7\n8QZ83JG5ge+u/AYPzb6HaN3YvRdalYZNmev4vyv+lk0Z6+j32vl1+as8d+TfOddZPiGJ0+xtchLP\ncWByxSoi+ulx/Phx1qxZA8CCBQs4d+7cNY/v6e3C5x3f6sdv60Zvc1CVouep5bfNiEYno8bI7Rm3\nsT59NWVdFXzceJCy7gqq+2qJn6Mn5xzYD++n4/bVN3Udv3+A7u7xTYO8HpXv7CHe1UNL9jyWFsy6\npqwigM1j55fnX0IURD5f/CQW7fTUpI3G4qQS3q/7iCOtJ4jWWdGrdGhVWrSiBq1Kg1alRTP4Z42o\nxVSYwCVrEglddVw8foqYjBtXt5hMH7hs/VhOH8Ch1pH6wBpq+upx+924/Z7B3wf/7JN/b3HIXejh\nogE+HubFF/H1xc/wwrlfcyGvnoWXoObDD1EX3HjZ2WT6AElC1dBCj1nF2uLbIqLe9Wa4a3kW7x82\nk4WL6rPHiMmbe8PfazL9cPHofhIAmymT1fPGLsOaCWQkWTAl5ULZBTovXaKjo+OGv9dk+sDd3oTG\n66c12cwTaxZHXBlWYexsBAROdZ5jdkwuoiAgCipUgjj4ZxFRUA39OfnO25AqjuDY/xEdqxbe1LUn\n0w8XfvcHkvxu2kpWo7JorvtuBvAGfDi9Tpx+F05f8Jdz2J8v/93lc1HX34jH78GsMXF3zp2sTVuB\nYXDK93gxaozcl7eVtWkrebtmF4dbjvPTM78kLzqbe3K2kGJKuu73iM1LpS46lYSeRi4eO0VM5vjf\nzQkJY+8MCFK4TjoYB//wD//AHXfcMRSEb9iwgd27dyOKowfLB+59cMLXOF6cw+Nf+dZN2RnOtDs6\n2Nf0KZ82H2PTh63kNIXfNpdXBb+6Jw6HYfyZ7Efz7+O2tJVTaNX4ONVxjp+ffXHcx8+uc7H1gG0K\nLbpx9i4yc7pgfBJTAgJ/vejLZFsja4ve4/fwm7LfMe+FPVgHJrZVOR1UpFnZ8s1/mxEJgevxyn//\nGwuPnQ61GVcREMD21W+wtKgg1KZMORcb2vB/929Rhd9HgeMLCnj8L78RajNuiB8c+w/qbOMvmX1g\nTw/pbVMzDOZmcGsE/ufeODzaqXkexepjWJ++mlWpy9CptJPyPZvtrbxVvZOzneUTOu9G382r3vz9\nmF+L6AD8+eefp6SkhDvvvBOAdevWsXfv3tAapaCgoKCgoKCgoHANIjqNUlpayscffwzAqVOnyM/P\nD7FFCgoKCgoKCgoKCtcmojPgkiTxne98h4oKuZnhueeeIzt75jYnKSgoKCgoKCgoRD4RHYArKCgo\nKCgoKCgoRBoRXYKioKCgoKCgoKCgEGkoAbiCgoKCgoKCgoLCNKIE4AoKCgoKCgoKCgrTiBKAKygo\nKCgoKCgoKEwjSgCucEOcPn2avr6+UJtxS6P4IDxQ/BB6FB+EHsUH4YHih8hB9Z3vfOc7oTZCIXKo\nqqriW9/6FocOHcLv95OcnIzROL7piAqTg+KD8EDxQ+hRfBB6FB+EB4ofIg8lA64wId577z3Wrl3L\nT37yE3Q6HQaDIdQm3XIoPggPFD+EHsUHoUfxQXig+CHyUIfaAIXw5+LFi+Tn52O32xkYGEAQBL7y\nla9gtVo5ePAg8+fP56mnngq1mTMaxQfhgeKH0KP4IPQoPggPFD9ENkoGXOGanDhxgi984Qt4vV7M\nZjMDAwN8+OGHPPHEEzz33HM89dRTvPrqq9hstlCbOmNRfBAeKH4IPYoPQo/ig/BA8UPkowTgCmMy\nMDDAO++8g91u54c//CEATz/9NBcvXsTlcgEwf/58Fi5ciMPhCKWpMxbFB+GB4ofQo/gg9Cg+CA8U\nP8wMlBIUhSEcDgf79u0jLy+PvLw83G43+fn5fPjhh2zbto1HHnmEvLw87r77bnbt2kV/fz+VlZU0\nNTURGxsbavNnBIoPwgPFD6FH8UHoUXwQHih+mJkoKigKAJw8eZIvfvGLiKLIzp07MRgMFBQUEBsb\nS2JiIgMDA7zyyivcd999lJaWYjAYOHToEGazmW9+85vo9fpQ/xciHsUH4YHih9Cj+CD0KD4IDxQ/\nzFwESZKkUBuhEHq2b99OTEwMW7duZffu3Zw5c4bCwkK2bt06dMxdd93Fn//5nw/9m8/nQ61WNlEm\nC8UH4YHih9Cj+CD0KD4IDxQ/zFyUGvBblMbGRr7xjW+wfft2Ghsbcbvd7NmzB4AVK1aQlZVFRUUF\nXV1dQ+d84Qtf4PXXXx/6u/IBvzkUH4QHih9Cj+KD0KP4IDxQ/HDroATgtyAHDhzga1/7GsXFxajV\nap555hkefvhhmpqaKCsrw2QykZOTQ1dXFz6fb+i8++67jxdeeCGEls8cFB+EB4ofQo/ig9Cj+CA8\nUPxwa6EE4Lcg7e3tbNy4kSeeeIKHHnqI3NxcVCoVW7Zs4d///d8BKCkpoaOjA6/XO3SeUq00eSg+\nCC3B+6j4IfQoPgg9ig9Ci/I8ujVRAvBbEIPBwPr16wE4d+4c3d3daDQaPvvZz2Kz2fjhD3/IU089\nRXJyMtHR0UPnCYIQKpNnHIoPQkvwPip+CD2KD0KP4oPQojyPbk2UJswZTEdHB0ePHmXBggXMmjVr\n1GO+973vkZ6eztNPPw2A2+3m3Llz9PT0sHHjxuk0d0ai+CA8sNvtVFZWUlRUhE6nIxAIIIoj8w+K\nH6aWzs5OXnnlFVatWkVWVtaIACKI4oOppaOjgwMHDlBaWkpGRsaoxyg+mHrcbjcvv/wyt912Gzk5\nOaM2TSp+mPkoGfAZys6dO3nyySc5e/Ys//Ef/8GuXbtG3abyer1s2bKFF198kc997nMMDAywaNEi\n5QM+CezevZunn36aEydO8Pzzz7Nv3z7FByFi165d/OQnP6GxsRHgquAbFD9MJbt27eJP//RPsdls\n/OEPf2DHjh2jHqf4YOoIPo9OnTrFP/3TP1FbWzvqcYoPpp6KigpeffVV3n33XWD0pknFDzMfpVV2\nBuLxeDh+/DjPP/88CxcuZPfu3ezbt4/Y2FgWL16MJEkIgkBfXx9vvPEG586do7S0lOeff14R7Z9E\nysvL+f73v8/ChQt56623OHz4MKIosnr1asUH04jdbuftt9+mo6ODI0eOEB8fj9VqHXGM4oepQ5Ik\n9u/fz3PPPUdBQQGvv/46zc3NACN2IhQfTC2HDh3i+eefZ8GCBfzVX/0Vp0+fJisrC0B5Hk0zgUCA\nkpISmpubOXLkCEuXLgUUP9xqKIN4Zgh2u50XXniBoqIiDAYDL774In6/nyVLlhAdHc2OHTuQJIni\n4mI0Gg0A58+fp7u7m69//es88MADmEymEP8vIpvy8nJ+8IMf0NvbS1paGh999BFNTU2sXLmShIQE\n2traqKurY968eYoPppDhfjCbzSQmJhIfH8+6dev45JNPSE5OJiUlZcQ5ih8ml6APenp6yMrKorKy\nkvT0dJKSkrhw4QLnz59n06ZNI2pXFR9MLsM/B+np6TQ2NlJQUIDf7+dnP/sZgiDQ1dVFWlra0LAW\nxQeTT9APfX19mM1moqOj2b17N6mpqZSUlPDSSy/R29tLQUHBUCZc8cOtgVIDPkM4duwY3/3ud3n6\n6ad58MEHOX/+PF/60pf41re+xbFjx3A6nURFRfGXf/mXaDQapWljktmxYwevvfYajzzyCPX19ZSV\nlfHNb36TZ555hp/+9KfEx8ezb98+9u7dy7PPPovJZFJ8MAUM90NjYyNHjhzhV7/6FX19fVitVn78\n4x+j0Wh4+OGHSUhIGMo4KUweV34WTp8+zc9//nNAzvB97Wtf45577mHt2rXKwJAp4kofnDx5kl/8\n4hcA1NTUUF5eTkxMDG+99RabNm1iw4YNIbZ4ZjLcD01NTRw8eJBf//rX/PSnP2X9+vW89tprvPfe\ne9x999387d/+rfJ5uMVQasBnAMFRtEVFRRw4cICamhrmzp3L9773PZqbmyksLOTZZ5+ls7MTn8+n\nBByTSHD92tnZyQMPPMA999zDo48+SkxMDAkJCSxdupQf/ehHACxevJjm5mYl6JsCRvPDww8/TFpa\nGm63e6jk5P7776euro5Tp04pn4VJZqzPQlJSEm63G5Bl1sxmM2vXrmX79u288MIL2O32UJo9oxjL\nB6mpqbhcLgCys7PZunUry5YtQxRFZs+eHUqTZySj+eGhhx4iPT0dgNraWr761a8SExPDt7/9berr\n6+nq6lKC71sMxdszAJPJxJYtW8jNzeX999/ntdde42/+5m9Ys2YN9fX1aLVannnmGVauXIlWqw21\nuTOKYACXmJjI4sWLAThy5MhQJuOZZ57hoYce4sc//jEHDhxgxYoV6HS6UJo8IxnLD16vd+h+S5JE\nRkYGhYWF2Gw2JfieZMbjg7KyMvbv388Xv/hFrFYrzz77LGazOWQ2zzSu5YNgmclXvvIV8vPzOXLk\nCLm5ucTExChJgUlmLD8EAgH8fj8PPvggzz77LElJSfT09DDw/7d3P6Hs/wEcx1/bSvlkbaQmacP4\nHB3mm8MciFj+JHNwUYpcKS5rzWVKkYNMbkpJTtRwkRsn/2WlJFFyoLiwiWX8DqLv15d+Xzaf99u8\nHhcHO7zr2T5777P35/2ORF6WJdLPwSUo38zr7dOeL5zPf0OhECYnJ9Hc3IySkhIcHBxgdXUVNpsN\nZWVlAkeePH5v8NZ2dl1dXXC73S/7uYbDYezu7kKn08HpdGo+3mT1Lx2amppQXl7+sgTlvdfS53yk\nwf39PZaWljA4OIjR0VEUFRWJGHLS+UgDADg/P8fW1hbMZjOvRwn0Lx0aGxtRUVGBcDiMtLQ0xGIx\n6HQ6Xo9+KFb/BqLRKPb29gA8bZ/2+wlYr+9a5Ofnw+FwYGpqCgCgqipaW1s5+Y7Tew1eXzhvb29h\nMplQXFyMQCDwsua+tLSUH3YJ8NEODocDgUAAvb29iEajb76WPuazDbq7u1FeXo7l5WVOvuP02Qad\nnZ1IT09HbW0tr0cJ8NEOv379QiAQgNfrxd3dHQwGA69HPxh3QfkGVlZWMDIygsrKSiwuLmJoaAg3\nNzd4fHyExWL549t2SkoKFEWByWSC3W6HTqfjT4sJ8H8NYrEY9Ho9Tk5O4PP5sLGxgZycHHg8HqSm\npooeftKIp8PzT/AUn3gaKIoievhJge8DOfBzgeLBCbikHh8fXybWeXl52N7exsLCAsLhMFpaWnBx\ncYFgMIiqqqq/HtzIyMiAqqrQ6/WcfMfhIw2e1++tr6/DYDCgt7cXLpeL6/oSgB3EYwPx2EAO7ECJ\nwgm4pJ7XhV1eXkJRFKiqirm5OTQ3N8PpdMJms2FnZwdms/ndI84pPp9pUFBQAJfL9eYx2/Q57CAe\nG4jHBnJgB0oULj6SRCwWw8zMDPb39wE8PcQxPDyMzs5OeDweXF9SkO7GAAACIElEQVRfw+l0Ynt7\nG8DTGrNIJAK73S5y2EmFDeTADuKxgXhsIAd2oK/CCbgEFhcX0d7ejuPjY1itVgDA/Pw8bm9vMT09\nDUVRMDY2hpqaGoRCIfj9fvh8PlgsFqSlpYEb2cSPDeTADuKxgXhsIAd2oK/EfcAFurq6QkdHB7Ky\nsuDz+aCq6h//Pzs7g9frRUpKCgoKCqAoCtxuN9bW1tDT04Pc3FwxA08ibCAHdhCPDcRjAzmwA2mB\nd8AFMhqNsFgscDgcUFUVZ2dnGBgYwOnpKYxGIy4uLmC1WuH3+xGJRLC1tYWGhgb09/fzDZ4gbCAH\ndhCPDcRjAzmwA2mBD2EKpNPpYLfbMT4+jqOjI8zOziI7OxvV1dUwm81QFAWHh4eYmJiA1WpFW1ub\n6CEnHTaQAzuIxwbisYEc2IG0wJMwJTA8PIxgMIilpaW/jik/Pj6GyWRCRkaGoNH9DGwgB3YQjw3E\nYwM5sAN9Jd4Bl0BhYSE2NzdRWFgIi8WCaDQKg8EAAEhPT+eG/RpgAzmwg3hsIB4byIEd6CtxDbgE\nMjMzUVdXh76+PgBPp1mStthADuwgHhuIxwZyYAf6StwFRRL19fXQ6/V4eHjg8fGCsIEc2EE8NhCP\nDeTADvRVuAaciIiIiEhDXIJCRERERKQhTsCJiIiIiDTECTgRERERkYY4ASciIiIi0hAn4ERERERE\nGuIEnIiIiIhIQ5yAExERERFp6D9sayBLSnYoVwAAAABJRU5ErkJggg==\n", 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DsWNH8OSTz/DMM08xZMhQ6urqePTRpwgEAjz33Dx++cvLeOGFBRJ8CyH2GxKACyFEHp15\n8E/3ma3OlVGjDgegoqIbHo8H0zSprOyefG00jzzyEKWlJXz11SpWrvwIj8dHNBpt9XibN3/HQQcN\nRNcTt5ZDDx26x+/84AcHoGkaABs3rmfWrN/jcGg0Nobp06cv3367keHDRwDg9/v55S8vy+pnFkKI\nQiA14EIIUaTWrPkKgF27qgmFwkSjUaqrdwKwcuXH9O17IK+99jIlJaXcccdMzj33fEKhUKvH69Pn\nQNavX0ckEiEej/P112v2+B07Ew5w4IH9uf323/L0009zxRXXcMwx4+nXbwBffbUKgEAgwLRp1wCJ\n7e6FEGJ/IRlwIYQoUtXV1Vx77ZUEgwGmT78FTdO47bYbUVWVkpISbrvtLqqrq/ntb2/niy8+w+Fw\n0LdvP3bu3En37t33OF55eTkXXHAxl1/+C8rLE1n13TUPwK+//mZmzrwTVYV43OLmm++gT5++fPTR\nh1x55aWYpskll/wKgAEDDmLmzDu5447f5a5DhBCikyhWEaUVduxoyHcTClpVVYn0UR5J/+dPMfb9\n66+/wqZNG7nssqvy3ZSi7P9CIv2fP9L3+ZXr/q+qKmn1NcmACyGESMt77y3huefmpbLZlmWhKAqT\nJp3L+PHH5bdxQgjRBUgALoQQRejkkzOf+HnssRM49tgJWWyNEEIUF5mEKYQQQgghRCeSAFwIIYQQ\nQohOJAG4EEIIIYQQnUgCcCGEEEIIITqRBOBCCCFy6vXXX+HPf/7fVl//3//9X1566cWsHEsIIboC\nCcCFEELkXPMNeArpWEIIkQ+yDKEQQuTRjoXzafhoeVaPWTL2CKomndvm77z++issWfI2wWCQ+vpa\nLr74UrxeH48+OhuXy0VZWRm33HInHo+Xe++9m+3bt1NdvZNjjhnP1KlXtHrcV175Ky++uJDS0jJ0\nXeeEE/6zxevPPvsMb775D3RdZ+TIw7n88qsBeOedt3jzzf8jHA7zm9/cwJAhQ3nhhQUsWfIWoVCI\nsrJy7r773o53jhBCFAAJwIUQokiFwyEefPAhamp2MXXqRaiqyuzZj1NZ2Z2FC+czZ87jnHXWOQwb\nNoKbbjqNSCTCmWee0moAXldXy7x5T/PUU/PRdZ1f//ryFq+vW7eWt9/+Jw8/PAdVVbn99ht5//33\nADjggN7ccMPNrF+/jpkz7+SJJ56hvr6OBx+cDcC0adewevWXue0QIYToJBKACyFEHlVNOnef2epc\nGTXqcAAqKrrh8XgwTZPKyu7J10bzyCMPUVpawldfrWLlyo/weHxEo9FWj/fdd98xYMBAnE4nAMOH\nH9bi9Y0bNzBs2HBUNVH9eNhho1i//ht0PXE+gAEDDqKmZhcAuu5gxoxb8Xg87Ny5nVgslt0OEEKI\nPJEacCGEKFJr1nwFwK5d1YRCYaLRKNXVOwFYufJj+vY9kNdee5mSklLuuGMm5557PqFQqNXj9enT\nh02bNhCJRDBNk6++WtXi9X79+vPll6swTRPLsvjkk5UceGA/AL788gsAvvlmLT179uKbb9by7rtv\n89vf3s11101PvUcIIfYHkgEXQogiVV1dzbXXXkkwGGD69FvQNI3bbrsRVVUpKSnhttvuorq6mt/+\n9na++OIzHA4Hffv2Y+fOnXTv3n2P45WVlTN58oVcddWllJSUEYmE0XU9lbk+6KCD+Y//OIHLL78E\ny7IYOXI048cfx3PPPcXWrVu59toriEaj3HjjrfTu3QePx8uVV16KZVlUVlaxc+eOzu4iIUQrql/5\nG3XvvkPZ+B9RftzxaH5/vpvUpShWEaUUduxoyNmxI9u+x/jic7xDDsV5QO8uOUu/qqokp32US9vn\nzyNeX49/zFh8ww9Ddbny3aS0deX+7+qKse9ff/0VNm3ayGWXXZW1Y8bjcebNe4oLL7wEgKuumsqv\nfnUVI0eOavN9xdj/hUT6P3+6ct9/+4e7afz31wAoLhdl4ydQcdKPcVTu+XBeqHLd/1VVJa2+Jhnw\nLKn+219p+PBfADiqqvCNOhz/qNF4Dh6Eoml5bt3+zYxEqF38fwA0LPsQxeXCP3IU/rFH4hs+AjVZ\njyqEyI733lvCc8/NSyUaLMtCURQmTTqXxsZGLrnkApxOJ0OHDttn8C2E6JriRgDV46Hy1NOo+b9/\nULv4/6h985+UHHEU3SaejKvvgfluYkHLewb8008/5b777mPu3Lls2rSJm2++GVVVGTRoEDNmzABg\nwYIFPPfcczgcDi6//HKOO+44wuEw06dPp7q6Gr/fz+9//3sqKiraPFcun3K+m/XfBL/6Ev+YsRhf\nfIEVTtRJqn4//hEj8Y0ajW/YcFS3O2dt6Kiu+iQeq61h3Q3X4Rl8CJ6DB9GwfBnRHdsBUFxu/CNH\nUXLEEXiHj0B1FG4w3lX7f38gfZ9f0v/5Jf2fP12577+5/lpUl5sBd/8BKxajYfmH7HrjdSKbvwPA\nO2w43SaegmfIoQVbFVC0GfDHHnuMl156CZ/PB8A999zDtGnTGDt2LDNmzGDx4sWMGjWKuXPnsmjR\nIkKhEOeddx7HHHMMzz77LIMHD+bqq6/mtdde46GHHuK2227L22eJGwaKy80BV1yNGY3SuOYrAitX\nEvh0JfUfLKX+g6Uouo536DB8o0bjHzkKvaw8b+3dn8QNAwBn7950P/NsKs84i/C3m2hYvozAR8to\nWPYvGpb9KxGMjxpFydgj8Q4fXtDBuBBCCFGoLMsiHgjgqKwEQNF1SscdQ8nRPyT4xefseuM1gqu+\nILjqC1z9+tNt4in4Dx8jFQHN5DUA79evH3/605+48cYbAVi1ahVjx44FYMKECSxduhRVVRkzZgy6\nruP3++nfvz+rV69mxYoVTJ06NfW7Dz30UN4+B0A8EEBLPkioDge+4YfhG34YPc6fQnjjBgKfriSw\nciXGZ59ifPYp2xUF34jDOODqa1FUWYymI+wA3O5/RVFwH9gP94H96H7m2YQ3bqTho2UEPlpOw4f/\nouHDf6G63VT9/DzKJvwon00XQgghuhwrHIZ4HNXbcuKlkoxtfCMOo3HdOmr+/hqBj1ew9eGHcFRV\nUfmzMygd98M8tbqw5DUAP+mkk9i8eXPqz82rYXw+H4FAAMMwKClpSuF7vd7Uz/3JGbf27+ZT3DBw\n9uixx88VVcU94CDcAw6i++lnEdmxHeOTldQs/gfGZ58Sb2hALyvLQ4v3H6aR+LvXvHvOwFYUBXf/\n/rj796f7WZMIb9xAw/Jl1Pz9deo//EACcCGEECJNuye+9sZz0EF4rriayLbvqfnH36lf+i7fP/kY\nJUceJZlwCmwSptosE2wYBqWlpfj9/hbBdfOfG8kLYPcgvTUVFV50Pft/6WY0ytfhEO6KsjbrfQCo\nKoGhA1lbs4Nt/1hMmQu8+3pPJ9pn+wuQqcYBKP9B9323v8dhcMRh/GvJ26iRUMF93kJrTzGRvs8v\n6f/8kv7Pn67Y94GGxJKg/qqKdsU9vYcP4qtwkF3/+pAKr4qjtHA+c776v6AC8KFDh7J8+XKOOOII\nlixZwtFHH82IESO4//77iUQihMNh1q1bx6BBgxg9ejTvvPMOI0aM4J133kmVrrSlpiaYk3bH6uoA\niDvd7S7mj6iJ+uOd323H4y6MDHhXnQxS+301AIaptbv9itdLuK6+oD5vV+3//YH0fX5J/+eX9H/+\ndNW+D36XCMAjqrPd7Y/pieWBt2/ahrNnYUzKLNpJmLu76aabuOOOO4hGowwcOJCJEyeiKApTpkxh\n8uTJWJbFtGnTcDqdnHfeedx0001MnjwZp9PJrFmz8tbu9gzF7E7z+Vu8V2QunhwhSbf/I9u25apJ\nQgghxH4rniz9VNPYfMe+R0vck5D3ALx3797Mnz8fgP79+zN37tw9fmfSpElMmjSpxc/cbjcPPvhg\np7RxX8xUAN7+C1H1eVu8V2TOzOABSPV6scIhrFgMRc/7PwMhhBCiy8gs8ZX4XYl7EmT5jSxIPQlm\ncCHGg3IhdlRT/8uTuBBCCJFrmYz8q6n7bn4XzSgUEoBngZSg5Feq/73edr/H7n9THoCEEEKItGQy\n8t+UeMzNfLyuRgLwLMi0BCLxXnkS7CjTMFDd7rRKSez+lwcgIYQQIj12CUo6I8+qV0pQmpMAPAvi\nwUxKIOwMuDwJdlTcMNIq/wEZgRBCCCEyZZfPZlIDLiUoCRKAZ0FmJShSg5wtccNIaxgMZDKIEEII\nkSnTMEBRUD2edr9H4p6WJADPgkxKUBSXCzQNMyhPgh1hxWJY4VDaAbgqk2CFEEKIjMQDAVSfD0Vt\nfxhpVwlI4itBAvAsSNVCedMIwBUFzeuTEpQOymQFGpAncSGEECJTcSOQVtIRQHW7QVXlvpskAXgW\nxA0DxelEdTrTep/m88mTYAdlUv7T/PdlEqwQQgjRfpZlZVT6aSceJe5JkAA8C0zDSDsAhETWNh40\nsCwrB60qDpmU/0Dz9UhlBEIIIYRoLyscgni8Q3GPkAA8K+JGIK0VUGyazwemiRkK5aBVxcHOgKdd\nguKVEhQhhBAiXan7bhrb0Ns0n4+4IYlHkAC8w6x4HLOxMeMnQZAyiI6wa8DTHgqTSbBCCCFE2jLZ\nht6men0Qj2OFw9luVpcjAXgHmckdnTK5EGUiYMdlWoKiKErySVxKUIQQQoj2imewC6ZN4p4mEoB3\nUKYlENBUBmHKtqwZS30RZDIUJpNBhBBCiLRkmvhq/h5T6sAlAO+oTEsgoPlEQCmDyFRHHoBkEqwQ\nQgiRnky2obepkgFPkQC8gzJdBq/5e+RCzFxHatFkEqwQQgiRnqbEY0fiHkk8SgDeQWZHMrB2CYoE\n4BlL9X8amyDZZBKsEEIIkR6zI6WfknhMkQC8gyQDnl9xI4DicqE6HGm/V/pfCCGESE+mO1A3f48p\nCyBIAN5RHakBt98jAWDm4sHMNkGCpv6XSbBCCCFE+3RsFRQ77pGRZwnAO6gjs4FVnzdxDJkNnLFM\ndyEFUL2J/pcvAiGEEKJ94oYBqsrWeC1vf7eUhkj776GaV+Iem57vBnR1HRmKkd0YO8aKxTAbG1F9\nfiLxKGDh1Jztfr+UoAghhBDpMQMBNK+Pl9a9zpfVa/jr2lc5stcYju97LL18Pdt8ryoj/ykSgHeQ\nfRGtCm7k3Y0vcnD5QQzvfih9/D9AUZQ236toGqrHIxdihuKNyU2QvD5mfngfDZEGhnY7hFE9RjCi\n+6F4dE+b70+VoEj/CyGEEO0SNwxUv4+GcAOaolHqLGXplg9ZuuVDhlUO4fi+4zmk4uC9xkBaauRZ\n7rsSgHeQaRgous6/qj9ldc2/WV3zb15Z/3fKXWUM734oIyoPZXDFwTi1vU8SVL1eGYrJkJlcgtDy\nudkV2oSqqHy6cxWf7lyFpmgc0u1gRleN4LDuw/A79xyhUOWLQAghhGg3y7KIBw0cPXoQiAYpdZZw\n17gb+WzHKv757busql7NqurV9Pb/gBP6TmBMz5HoalOoqeg6qtstiS8kAO+wuGGg+vwYsUYUFC4e\nei5fJC/A9zb/i/c2/wuH6uCQioMZ0f1Qhnc/lHJXWer9ms9PZNv3efwEXZcdOMfdibKTI3qO5j/7\nHcfK7V/wyY7P+bJ6DV9Wr+EvvMCg8oMY1WMEI6uGpfpfJsEKIYQQ7WeGQhCPo/l8GLFqenq6oyoq\no3qMYFSPEayv28Rb377Lyh2f8/RXz/HSN68xoc8xHNv7KPyORCJM9frkvosE4B0WNwLoZeUY0SA+\nh5exvUYzttdo4mac9fWb+GLnV3xe/RVfJP9jDfT1H8Dw7kMZ03Mkms+HFQ5jxWIouvx1pMP+Bxx1\nJUYXfA4vvXw9OXlAT04ecAI7G6v5ZMcXfLL9c76u/Yava79h4dcvMaDsQEZVjWBsySGATAYRQggh\n2sPeN0PxeonEt+JztBxdHlB2IAPKzqe6sYZ3vlvK0i3LeHndG7yx4Z8c/YOxnNB3AprPR3TH9nw0\nv6BIxNcBlmliBoNoB/TGiBr4HN7Ua5qqcXD5AA4uH8DpB5/CjmB1Igjf+RX/rl3Ht4EtLN70Njd4\negGJYFIvK2vtVGIv7CGssEsD2OOLoLunkhMP/BEnHvgjakK1fLpjFZ/s+Jy1tetZV7eR9ZXrmYBk\nwIUQQog4mbpkAAAgAElEQVT2iAeSI8+exMhz87inuUpPBWcO+iknDziRD7Yu5+1v3+PdzR+wYtsn\n/Nrnw/w2VPSJx+L95FlgNjaCZaH6fARjW+nh7d7q71Z5K/kP77H8R99jaYyFeGLVPL6sXkPc4wIk\nAM+EvQJN2JWY6NHaFwFAhbuc4/oew3F9j6EhEuC2pf+PmmiDTIIVQggh2sm+78bc9shz2yvAeXQ3\nx/cdz496/5D//eQxvq79BjzdEscKBtFLS3Pb4AIm64B3gB24WR43pmW2GQA259Hd9PRUAU0XsUxI\nSJ/d/8Hk/Nb29n+J04/P4cWIGqg+n5SgCCGEEO1gxypRdyJ/2977rqZqdHNXAKQSj2aR78EhAXgH\n2BdPaihGb/9a4F5HYom8aLJ8Ii5BYNrsANxwWAD42/lFAOB1eAlGG9FkMogQQgjRLnYGPORMhI/t\nDcChKe6JJxOP8SLfhVoC8A6wA7dYmk+Cid9NBOsRZyIAlwx4+uw+C+hxYN9DYc35dC/BWCOqz5ua\nBCuEEEKI1tlxT2Oy9NOfzn3XjntcevJYkgEXGbIvRPtiSi8AT/xuo1NJHqu4L8RM2H1Wr0eB9Pvf\nwgJP8olcHoCEEEKINu0+8pxJ3BNOxj3FnniUALwDzNRQzL4nAe7Opyd+165fLvahmEzEDQPF6aTB\nCgNNfdoe9t+VXT4kAbgQQgjRNnsDvIBuApkF4Hb5SrHfdyUA74DUUEwqAE9nKCZxIRrORPlEsU9G\nyIRpBJKbAQRxqg4crew2ujd2/8eSoxfF/iQuhBBC7EvTyHOibDOtEpRU4tFKHqu477sSgHeAfSEa\njvSfBL3J321I1i8X+4WYibhhoHp9BCJGWg8/0PRFkKpFk0mwQgghRJvihgGqSr2SHHnOIAMecCYC\n8GJPfEkA3gHx1CTAzIdiGtRY8lhSgpKO1CZIyQx4On0PzWrRXIl/AsX+RSCEEELsSzw18tyIpmi4\nNFe735uKe7Ro8ljFfd+VALwD7KDNHopJJwh0ay5URaWeEGgaZlBKUNJhJmvmFZ+XSDySdgDuTdWi\nySRYIYQQoj1Mw0Dz+VO7fyuK0u732vfpes1OPEoALjIUNwzQNOqxh2LaXwahKAo+3YsRb0TzyVrU\n6bIDZjO5oH+mGfBULZpMghVCCCFaZVlWovTT5yMQDaZV/w3g1Jw4VJ0GwsnEY3HHPRKAd0DcCKB5\nk5MAkxdWOhK7MQbRvD5MKUFJi/3AEncnN0FKtwbcrkVLlg/JJFghhBCidWZjI5gmqs9HY6wx7cQX\ngFf3YsSCknhEAvAOSQzFJJ4E01kCz2bvxqj6fMSNAJZp5qCV+6d4cimkdLfDtflkEqwQQgjRbnbZ\nreV1A+nfd+33GDE78Vjc910JwDPUfCgmk0mA0GwzGK8bLAszFMpBS/dP9j/csCuxk2jaAbhu16LZ\nk0FkBEIIIYRojV36aW8ln2nc0xgLJRKPQQPLsrLaxq5EAvAMmaEQmGbGkwCh2WYw7kQdc7HXQ6XD\nzlinNkFKcwTCoTlwqg4aCKHoukyCFUIIIdpg33ejqQA8vdLPxHsS92rL4wbTLOrEowTgGbJrhq0M\nJwFCU9BoP01KGUT72U/i9k6iGdWiObwYsUZUr1f6XgghhGiDfd/NdOS5+XvsBRSKef6VBOAZsgO2\nWIaTABPvSVyIdh2zBIHtZ5egNG2ClFn/G9Egms8vfS+EEEK0wd6G3t5KPrP7buI9MYl7SG/Zjk4Q\ni8W46aab2Lx5M7quM3PmTDRN4+abb0ZVVQYNGsSMGTMAWLBgAc899xwOh4PLL7+c4447rtPamQrA\nXZlNAoSmtajDTg0vUoKSDrv/G/Q4hDMfgdgc34rqLcX8fiuWaaKo8kwqhBBC7M6+7zY6AQv8Ga2C\n4gEg6tLRadrToxgVXAD+zjvvYJom8+fP5/333+f+++8nGo0ybdo0xo4dy4wZM1i8eDGjRo1i7ty5\nLFq0iFAoxHnnnccxxxyDw+HolHbaT4KRLAzFhJwKXor7STBddl/V6YlJlJl8EbSoRUtOgtW86R9H\nCCGE2N/FUyPPFkQ6lgEPuzR0insTvIJL9/Xv3594PI5lWTQ0NKDrOl9++SVjx44FYMKECbz//vt8\n9tlnjBkzBl3X8fv99O/fnzVr1nRaO1OTAJNbmWeyDKEdNAYTVSxFvyRPOsxgAEXXabBCKCi4dXfa\nx2iqRUv8BUj/CyGEEHtnB8sNGez+bWueeEwcs3jvuwWXAff5fHz33XdMnDiR2tpa/vznP/PRRx+1\neD0QCGAYBiUlJamfe71eGhoaOq2dWZkEqNu7MZrJYxbvhZiueMBA9fkxkpsBqEr6z5LeVA1+chJs\n0MBBVVbbKYQQQuwP7CRVfRYC8KDDopLiTnwVXAA+Z84cxo8fz3XXXce2bduYMmUK0Wg09bphGJSW\nluL3+wkEAnv8vC0VFV50XctKOwNWok2xEg0C0KdHFVWVJft4V0uqrwcA4eQ17IhHqKpK7xjZlu/z\nt9e6RgNXRQXBeCOlbn9G7e5Z3Q02glbmJg6U6Cbl0v9FS/o+v6T/80v6P3+6St9vDTeiaBpBRxQF\nhX69eqCmOW8q7EwkuaL+RCzmsqJ5//z5On/BBeBlZWXoeqJZJSUlxGIxhg4dyrJlyzjyyCNZsmQJ\nRx99NCNGjOD+++8nEokQDodZt24dgwYNavPYNTXZK/YP7KgBYGc8DEAkADvM9DLwkbjZ4hjB6lp2\n7Oi8LP7uqqpK8nr+9rJMk1jAQO91AIFwHVXuyozabYUTXxz1lokP2LVlJ9He0v/FSPo+v6T/80v6\nP3+6Ut+HautRvT5qGwN4HR6qq9PPXocjiY13dsbDHAQ07KjZr+OetoL7ggvAL7roIm699VbOP/98\nYrEYN9xwA8OGDeP2228nGo0ycOBAJk6ciKIoTJkyhcmTJ2NZFtOmTcPpdHZaO+NBeygm80mATs2J\nQ9WpUyMtjinaZjY2gpXYQdSiNqNhMGgaCmt0KviQ/hdCCCFaYxoGWkkJRjSz3b+haRUUexdqKUEp\nIF6vlwceeGCPn8+dO3ePn02aNIlJkyZ1RrP2YBoGKAp1SiTjSYCQmBEciDeiejxSA95Odj+ZyR1E\nfXr6M7GhaTa2XcdfzF8EQgghRGss0yRuBHD06oURa6C7pzKj4+iqjltzUacmRv6LeRWUjALwhoYG\nNm3ahKqq9OnTp8VkyGIRNwKoPl+HJgFC4mmwJlyL6vNJANhO9s5ZMXs7XGemGfDEk7iRmgRbvF8E\nQgghRGvMkD3y7MG06vBneN+F5CZ48VAi8SjrgLfPO++8w2OPPcbatWvp1asXuq6zdetWBg4cyCWX\nXMKPfvSjXLWz4MQNA83nw4gaGQ/FQOJC3GJ8j+rxEt2+LYst3H/ZGfBIcictfwcz4A1aPHnc4v0i\nEEIIIVqTGnn2dGzkGRIrkG0ztqP5/EWdeGx3AH7zzTfTvXt37rzzzj0mO/773//m+eef5+WXX+a+\n++7LeiMLjWVZmIaBo1slwViQHt7uGR8rFbx7PVjhMGY0itpJmwl1VfYXQTi1HW4Ha9F0qUUTQggh\nWmNvPpgaee5I4lH3EjGjKF4Pse+/z0r7uqJ2B+DXXXcdPXv23OtrgwYN4pZbbuH7IulIKxLBisWS\nQzGBDmfAoemp0gwaqGXlWWnn/souFUltgpRh/2uqhltzU2tPgpUSFCGEEGIPduIrmhx5zkbcY3nd\nWJFI0SYe21243Frw3VyvXr061Jiuwg7UsjEUY5dBxO3NYKQMYp/sTHXQkVjOqKNfBIY9CbaIa9GE\nEEKI1qR2/06OPPsz2Ibelko8upsSj8VonwG4YRi89tprfPzxxwB8++23fPjhhzlvWCGzA8BsDMXY\nZRD2U6WUQeyb/QAUSE6e9HXoi8CDEQ0WfS2aEEII0ZqmkefEFvLZyIDH3c7ksYvz3rvPAPyRRx7B\n7Xazdu1annzySXr37s3DDz/cGW0rWPFkLVR2hmISwWPYldgVSsog9s3+x9rQge1wbT6Hj2iyFk36\nXgghhNhT08hz4s8dSjwm3xtNxj3FmvzaZw348OHDGTRoEMcffzyhUIg333yTUCjUGW0rWKlJgMmL\np2MBYCIDHnYkNoMxpQxin+x/rHVaxwNwewSi2GvRhBBCiNa0GHmOdXDkWU/cs8MuDQeSAW/VQQcd\nxKuvvgqA2+3mxBNP5Oyzz855wwpZUy2UPRTT8RrwoNM+tmRh9yVuGKBp1BPCpTnR1cz3k7L7v9hr\n0YQQQojW2CP/9Xpi2d6OxT2JANyOoYo1AN9n5DJw4EAGDhwIQHV1NZWVlZx55pk5b1ghszeCsYPm\nbNRCGbq9GUxxXojpiBsBNK+9CVLmXwLQvBbNngRroMsqNEIIIURK08hzYtlee/Q+E/Z9146hirUE\nJa3tG1esWJGrdnQpdpBsB80dK4FIvNeeUCgZ2H0zs7QJEjT93UVc9iRYKQESQgghmosbgeTIcyNu\nzdXBkefdEo/B4hz5TysAtywrV+3oUpomAdpDMR2vAa9P1jNLBrxtlmURNwwUn4+IGU3VkmXK/rsL\nJ9cUlxIgIYQQoqW4YaD5/cmR547ed5O7UOvFvQt1WgG4oii5akeXYg+X1KdW4ci8DEJXdVyakzrN\n3gxGAvC2mI2NYJpYXjfQsYcfaJqEGXbYAbj0vxBCCNFcvMXIc8dKPz26GwUllXiUEpR2kAx4gp0l\nrVXCODUnjg4MxUAigK+3QqBpUoKyD/Y/VDO5fmjHa8AT7zeciWtb+l8IIYRoYpkmpmGgeL1EzViH\nE1+qouLVPdTqxb0LdVoB+KhRo3LVji4lbhioXi+BeGOHSyAguRtjLIjm80kGdh+atsPt+CZIzd9v\nOGQSrBBCCLE7s7ERLCtrI8/2MeqtRhRdL9r7bloB+N62o1+/fn3WGtNVmMHkUEwsiD8bF6LuJWJG\nUSUA3yf7STmShTXYm78/IKvQCCGEEHuw74vxLI08Q2IznmC0EdXnL9r9T9IKwG3Lly9n7ty5fP75\n5/j9fl555ZVst6ugxQ0DxesjEo9k5UJMBZEeN6ZhYJlmh4+5v7JLUOxJkx0NwJtq0RJLK0kJihBC\nCNHEXgM8lhx5zkri0eElbsVRfV4pQUnH0qVLqaqq4m9/+xvXXHMN7777brbbVbDMSAQrEoEsDsXY\n27KaHhdYFmaR7zTaFvtJvDG1BnvHHoCaatGiLY4vhBBCCDCTywRG3PbIc/YSj5bbhRkMFmXiMaPZ\ng8OHD+fEE09k4sSJAJhF1HF7DsVk50mw+TFNw0Dzdvy4+yP7STmY3C0+W0/i9bEgiq4X7WxsIYQQ\nYm+adv/OzsgzNG1Hb3rtxGMjmrfjgX1XklEGPBqN8uCDD7JmzZrEQdSMDtMl2btg5iIAjyY3g4lL\nGUSr7C8Ce+OibPW/EWtM1OBL3wshhBApdglKMLl1vD+LGfBYMpYqxtHnjCLnzz77jD59+vDMM89w\nzjnncOONN2a7XQXLvkgi7kSwnJWhGN3ejVFrcQ6xJ/sBqD61HW52SoBMy0T1eqXvhRBCiGbskeGg\nI7FcbzYTj7HULtTFd+/NqARl9OjR/Od//idnnXUWAPX19VltVCGLZ3kSYPNjhFwKPorzQmwvu//r\ntChqXMWtuTt8zFQtmseN+f33WKaJUkSjOkIIIURrWuz+bWV37lvYqeKkOBOPGUUZtbW1PPHEE2ze\nvBmA0tLSrDaqkNkZ2FByKCabF2KjI3FMKYNoXdwwQFWpU8L4dG9WdmdN1aLJJFghhBCiBbsEpT65\ndXw2J2HasVQxJh4zCsC3bduG2+3m3nvv5eyzz2bmzJnZblfBiudwKCaYrGsuxguxvRITVH0Yscas\n9D00r0VzpM4hhBBCiKa4p1YL41B1nKqjw8dMxT3OlucoJhmVoPzoRz8iGAwyefJkALZs2ZLVRhWy\npkmAyQBcz14NeEPy6bJY18Rsj7gRQPV5CcYa6eXrkZVjpibBunVcJP6OHVVVWTm2EEII0ZWZRgBF\n16m3QvgcvqyOPBvJWKoY4552BeCrVq3i/fffZ+jQoYwbN47DDjusxesHHHBAThpXiMxULVQMzGyV\noHhQUBLHBOJGce4KtS+WZRE3DNTKSiyMrAyDQVMJUMSpJQPw4vsiEEIIIfYmbhioPj9GrJFKT0VW\njtm0C3Ui8ViMI8/tCsCHDRvGsGHDWL16NU8//TSmaXLYYYcxduzYXLev4NjBWZ0WRbVUPHrHJwGq\nSuI4tVZyN8YivBDbwwqHIB7H8rgAI+slKCGnQgkU7ba4QgghxO7iRgCtrIxQPJTKXHeUS3OhKVpq\nRbN4Ed530ypBGTJkCEOGDAHg008/5cknn0RRFI444giGDRuWkwYWmqZaqAhePFkZioFEFrYuGk6e\nQzKwe5PaBMnjArIz+gBNQ2GNqVo06X8hhBDCMk3MYBCtVy+gAZ8zOyPPiqLgdXiojdm7UBfffTej\nGnCAkSNHMnLkSCzLYvny5Tz55JPous4Pf/hDBg4cmM02FhTTMFDdbgLxxqyVQEAimNwcqkX1eIry\nSbA97AA8mlqDPbsZcEM3W5xHCCGEKGZmMJhYHczrAhqydt+FxGoqtfF6UJSiHPlv9yooK1eu3OvP\nFUXhyCOP5Be/+AWTJ09m165dWWtcIUrUQvkwosHsXoi6l5gVR/F6i/JCbA+7X+wNi7IdgNuTYE1Z\nBlIIIYRoGnlO7ljpz1IJCiTinmA8hOopzk3w2h2Az5w5k5qamjZ/R9M0jjjiiA43qpDFjQCK14uF\nleUnweSxvJ6iHIppD7tfws7EZZuN7XAhUYumKmqzSbDF90UghBBC7M6+72Z75Nk+loWF4vMW5f4n\n7Q7Af/7zn7N69WoWL15MNBrNZZsKlhmNYoXDWJ7ExMtcBOCW24UViWAWaR+3xQ6M7VrtbJUAKYqC\nz+GlVo20OI8QQghRzOyR53Bq5Dm7pbcAeNxFOfLf7hrwc889F4BYLMaSJUvweDyMGzcuZw0rRHZp\nQtyTiACzGYDbS+HFPU6U5LnUsvKsHX9/YP8DNbK4CZLNp3upjTe0OI8QQghRzOKp3b8T+dpcJB5N\njwsrGsWMRFCdzqwdv9C1OwO+YsUKAHRd5/jjj2fEiBH84x//YNWqVTlrXKGxM6P2jon+LGzCY0tt\nBuPSW5xLNLG/CAKp7XCz+0VgxEOo3uKsRRNCCCF2Fw8kd/922omvLMY9+m67UBdZGUq7M+B/+MMf\nOOyww6ipqaGuro7a2lpqa2vZsWMHp5xyCvfcc08u21kQmiYB5qAWKnkhRlwaTsCUzXj2YH8R1Osx\nsMjaeqSQ+FKxsFA8nqL7EhBCCCH2xk58GXoORp6bJR41EolHvTw7G/10Be0OwMvLyyktLaWuro5f\n/OIXdOvWjfLycioqKnC7O74ZTVcQT9VC5W4oJuxS8VOca2Lui90ntXoUt+lGU7WsHdvr8CT/x0N8\n2/asHVcIIYToqszkfbfBkVikIFuLH0CzXahdGm6Kb+S/3QH4f/3Xf9GjRw927drF3//+dxwOB4ce\nemgu21Zw7ACw0ZnYfCcXAXijwz5XcV2I7WEaBigKtUo4q30Pu9WiRSKY0Qiqo3hq0YQQQojd2bFI\nnR5DNbOz+7cttQu1S6GUpmC/WLS7Bnzr1q0AdOvWjfPOO4+SkhIeeeQR1q5dm7PGFRq7BCXoyEEt\nlL0ZTPLYUgaxp7hhoHq9GLHsrsEOTeUscbsWTUqAhBBCFLkWu3/r2dv9G/aWeCyu+267M+DTp09n\n8ODBLX5mWRaPP/44J598MnfddVe221Zw7Asx4MjNJECAgOzG2Cp7E6SoGctZBjzqduAC4kEDvVxW\noRFCCFG84oEAiq5TZwbxO0uyeuw9d6Eurgx4uwPwnj17Mnr0aMrKyigvL6e8vDz1/2VlZblsY8Gw\ng+IGLfsBuFtzy2YwbbAsC9MIoJUfAIRyEIAnRjMiThUXshShEEIIYRoGqt9PMBail69nVo9tjzw3\nJAPwYrvvtjsAv+eee+jTp08u21Lw7PqkOj2KS3Giq+3uvn1SFAWv7qE+ntiAR0pQWrIiEaxYDNPj\nJhGAZ6/8B8CXnIQZcqmUIA9AQgghRNwwUMvLsIhl/b7r0Bw4VQf1ejR1rmLS7hrwqqqqff5OOBzu\nUGMKnX1x1CjhrF+IkMjC1qjhFucSCXZ/2DXaucqAB2USrBBCCIFlmpiNQSxv9nf/tnkdXuq14kw8\ntjsAv+GGG1iwYAGBwJ41OoFAgHnz5jFt2rSsNq7QxA0DxemkwWrMyYXoc3iosxpB14tuKGZf7NGH\naI4CcK+eyIDbE2yl/4UQQhQzMxgEy8L0uIDsLkFo8zm8RZt4bHcNxYMPPsizzz7L2WefTWlpKb16\n9ULTNDZv3kxtbS0XXnghDz74YFYa9cgjj/Dmm28SjUaZPHkyRxxxBDfffDOqqjJo0CBmzJgBwIIF\nC3juuedwOBxcfvnlHHfccVk5f2viRgDV5yNiRrO6CYzN5/BiKSR2YyyyJ8F9iac2QUqs/e3Pcv/b\nGXB7l814sLgmgwghhBDN2ZMiYznYfNDmc/jYzFYUp1MC8Naoqsr555/P+eefz+rVq9mwYQOqqnLg\ngQcyZMiQrDVo2bJlrFy5kvnz5xMMBnniiSe45557mDZtGmPHjmXGjBksXryYUaNGMXfuXBYtWkQo\nFOK8887jmGOOweFwZK0tuzMNA7VbBZD9VTgAvHZQ6fEU3YW4L/YXQchlr8Ge3Sdxp+bAoTpSQ2HF\nthySEEII0Vw8WfEQydHIM4AvOfqseL1FV4KS0SzCIUOGZDXobu69995j8ODBXHnllRiGwfTp01m4\ncCFjx44FYMKECSxduhRVVRkzZgy6ruP3++nfvz9r1qxh+PDhOWmXFYthNjaC5wdAIEc14ImL2/K6\nsLZvxzJNFLXdVUL7NfuBJJjcGyc3T+JeaqPJWjR5ABJCCFHEcrn7ty11TI+beF191o9fyLK3jEeW\n1NTUsGXLFh5++GG+/fZbrrjiCkzTTL3u8/kIBAIYhkFJSdOalF6vl4aGhjaPXVHhRdcz2748WlcH\ngFrqAQL0KC+nqiq7a2L22FEB34LqdxO3LLr5dXRf9gP9tmT7M2VLmMTyjFFP4ougb68eVPmy29Yy\nt5/qyA4AtGgoL31RqP2/L+Gd1Tgru2V1k4bO1lX7fn8h/Z9f0v/5U6h9byWXXI77E6Fin6qqrLe1\namsFbAG1xENs6/d07+ZF0TKL0zJuQ576v+AC8PLycgYOHIiu6wwYMACXy8W2bdtSrxuGQWlpKX6/\nv8WEUPvnbampybysIPJ9og2NWjIjHdHZsaPtgD/9k2jJc2g4ge0bt+Fox+oz2VJVVZL9z5Ql9dt3\nAVBNYrJGuN5kRzC7bXUqLgJWBEXXCdXWd3pfFHL/tyX49Rq+++97+MHlV1Iy9sh8NycjXbXv9xfS\n//kl/Z8/hdz3tVt3AlBjJRNgBuwgy22NJuKesENHA7Zt2o7m92f3HG3Idf+3FdxnVN/w8ssvc//9\n99PY2Mhf//rXjBu2N2PGjOHdd98FYNu2bTQ2NnL00UezbNkyAJYsWcKYMWMYMWIEK1asIBKJ0NDQ\nwLp16xg0aFBW29Lc7pMAczUZofk5pA68iV0DXqfF0BQNl+bK+jns/ld8Xun7NIQ3bgDA+OLz/DZE\nCCFE1jTt/p2oQsjV8ssA0eREz2K696adAb/vvvv4/vvvWbVqFVOnTuWFF15g9erV3HzzzVlp0HHH\nHcdHH33E2WefjWVZ3HXXXfTu3Zvbb7+daDTKwIEDmThxIoqiMGXKFCZPnoxlWUybNg2n05mVNuxN\nahKg066Fyv6FaC+FF3ap+EFWQmnGrsmu0yL4HN6clDo01aJ5iDfIKijtFduVGJ0IrV+f55YIIYTI\nFnsSpr1Dtx2jZJM/ed8Nu1TcSADepvfee49FixZxxhln4Pf7efLJJ/nZz36WtQAcEmuO727u3Ll7\n/GzSpElMmjQpa+dtix0ANiZjfH8OM+D2OWQiYBP7i6BGCVPmKMvJOewA3PS4YJtMgm2vaE0NAJEt\nmzFDjaju7H9JCyGE6Fx2DFKrRfHoHjQ1+7XZ9upv4WRy0yyiJYDTji7UZEBiZyAjkUjqZ/sz+6nM\nSG7UkosSFDuot89hZ91Fcjtcr5egGcpJ30PT32nc7UxsPhBqzMl59jexmkQGHMsitGFDXtsihBAi\nO+wYpFbN/X3XXuGsmDLgaUfOEydO5De/+Q11dXXMmTOHCy64gJ/85Ce5aFtBSdVC6YlaKG8ONuLx\n2gF48hxmUNaitplBA8Wb6J9clP9A099p1F18tWgdkQrAgdD6dXlsiRBCiGyxd/+utzohALfjniK6\n76ZdgvKrX/2K1157jQMOOICtW7dyxhlnMGXKlFy0raDYW6E36DFURcWju7N+DqfqQFd1GuylfyQD\nnhI3DJSePYBITnYhhaYvgohTww2YRhA6bxGaLskyTWK1tejdKontqpYAXAgh9hOmEUD1eolZ8ZwF\n4HZdeUMyAC+mxFfaAfjTTz/NokWLWLRoEd999x1Tp07F6XRyzjnn5KJ9BcO+KGr1CF7dk5NJgIqi\n4NM91On2bozFcyG2xYxEsCIRLI8LiOT8STzkUihFHoDaI1ZXB6aJZ+BAgvGYBOBCCLGfiBsGSnkZ\nEMefo5FnTdXw6G7qizDuSbsEZcGCBcybNw+APn368OKLL/LMM89kvWGFJjUJUA3nrAQCEuUVNWpi\nrWtTtkMHSG1PG8/hdrjNjxtyJB6uimkoLFOxXdUA6N264R5wELGamtSkTCGEEF2TFY9jBoNYnsRo\nf67uuwA+3UudllhppZjuu2kH4NFotMVyfw6HI6sNKlRxw0DRdRpyOAkQEhd5XTIAlwxsgv1EbNdm\n5+oByJeaBJscCpNlIPcplgy29YpEAA5SBy6EEF2dPQct7knEez49d4lHr8NLrRpKnK+I7rtpl6Cc\neMft6pUAACAASURBVOKJXHTRRZx88skA/OMf/+D444/PesMKjWkYKD4flpLbJ0Gvw4ulKigeT1EN\nxbTF7odwDjdBAlK15famA9L/+2avAa5XdEP1JGr5QuvXUXL4mHw2SwghRAekEl8uO/GV28TjJi0O\nqlpU9920A/Dp06fzxhtvsHz5chwOBxdeeCEnnnhiLtpWUOKGAWV+wMr5UAwAHresgpJkl/+EnInS\nkFz1v6ZquDUX9UU4FJYpewUUvaIbzl69QFEkAy6EEF2cPQIfTo48+525LL31gqKgeD1Fdd9NuwQl\nFovhdrsZMWIEQ4YMIRAIZH07+kJjmSZmYyfVQiWPbXndUoKSZK9AE0yuj56LTZBsPoeXOi0CFNdQ\nWKaiyQDc0a0bmteLs9cPCK1fj2WaeW6ZEEKITKUCcDvxlaPVx6D5LtTuorrvpp0Bv/7669myZQsD\nBw5ssRLI6aefntWGFRIzGATLSmzQQiP+HNZCpXZjdDtRIxHMaBS1SOrsW5Nagz21CVKua9HqW5xX\ntC5WUwOahlZaCoB7wAAiW7cQ2boVV+/eeW6dEEKITNiZ6KAr8efOGPk3PW6o2YZlWTlZaa7QpB2A\nr1mzhtdff70oOsfWNAkwt6twND921OXARWIFELWsPGfn6wrs/m/QE+uj2+uG5oJP9/KdFgNFKaqh\nsEzFdu1CLytHSe6G6x4wkPr3lxJa/40E4EII0UXZpZ+Gnhx5zmkJSuLYcbcDJRbDikRQXK6cna9Q\npF2CMnDgQHbs2JGLthQsOwCMuBLdletJmABRt9bi3MXMDoTr9Sge3YOmajk7l08mwbabFY8Tq6tF\n79Yt9TNZCUUIIbq+3RNfuSxB8ToSSTU7yVks5bdpZ8BDoRATJ05k8ODBLZYjfPrpp7PasEJiBu1J\ngLkPwO2LPOxU8SMTAaHpH2OtGs5p30PLWjSziGrRMhGrrwfTxFFRkfqZq08fFF0ntE4CcCGE6Krs\n+269I4ZTdeDQclcKa2fAI04VD8k9ULpV5ux8hSLtAPyyyy7LRTsKmv0kGEw+b+R2I55EANiYnPgg\nWdimPqhRw/zA0T2n50pNgvW4iG+vzum5urrmm/DYFF3H1a8/ofXrMMNh1CIYRhRCiP2Nnfyr1aI5\njXmgaWGFcDLJWSwZ8LRLUEaNGkVdXR1btmxhy5YtfPvtt3zwwQe5aFvBsANAIzUJMPc14PaKHxKA\nJ9dgd7uJKGbOM+B2CVDc48SKRDCjkZyerytrvglPc+4BB4FpEt60MR/NEkII0UF27LFLDeV05TEA\nb3Lk305yFkvck3YG/Oqrr6axsZFNmzYxduxYli9fzqhRo3LRtoJhPwkG7FqoTqgBtzeDkRKUxNOw\n4k3UiOVyN67E8ZsmwWokhsLUcmfbbypSzTfhaa55Hbhn0OBOb5cQQoiOiQcCKE4njeQ+A7574rFY\n4p60M+Dr16/n6aef5qSTTuLSSy9l4cKFbN++PRdtKxj2bOB6PYZLc6KraT+3tJtD1XFqTgLJzWCK\naU3M1sQNI7UGe66fxO0vgohLJsHuS/NNeJpzH5QIwBulDlwIIbok0zBQvIn7Ya5Hnt26CwUlNeGz\nWOKetAPwyspKFEVhwIABrFmzhp49exKJ7N/D9HY9Ul0n1EJBIgtbawfgRR4AmtEoVjiM6U3UEnfW\nJMywq7hq0TLRfBOe5hzdq9D8JYQ2SAAuhBBdUdwIgDf3mw8CqIqKz+Gl3g7AiyTuSTsAHzRoEDNn\nzuSoo45izpw5PPLII0Sj0Vy0rWCYqUmAoZxfiGDvxhhuce5iZa9EEuuENdibH7/RYZ8/mNPzdWW7\nb8JjUxQF94ABxHbuTKyUIoQQosuw4nHMxkZMj5346oTEYxHGPWkH4HfddRcnn3wyBx98MNdccw3b\nt29n1qxZuWhbwYgbBqgahhrL6VqYthZPgkUyFNOapjXYE2U/nTUJs2kSrGTAWxPbtQu9vGkTnuZS\ndeDrvunsZgkhhOiAeCrxlZj/1BmJR6/upVZLVFMUy3037WJmTdMYO3YsACeccAInnHBC1htVaOKG\ngerzgqJ0WgY8pgG6VjRPgq2xP384tQZ7bp/EvbqnRS1asfd/a+xNeNwHDdzr63YdeGjDOvyjRndm\n04QQQnSAfd+LuDsn8WWfo9hGntsdgN9xxx3MnDmTKVOm7HUb+v16Ix7DwPIlV+HohKEYryMR7Cte\nb9HUQrXG/vyh5LronVGL5tU9RTcZJF2xurrEJjy71X/b3P3tDLjUgQshRFdiLzwRdnVO4itxDi+m\nqoDLVTRxT7sD8HPOOQeAa665JmeNKUSWaSaGQ7qXAZFOeRL0J8tcLLer6ANAeyiqaROkThgKc3io\n0xqS5y/u/m9N0wooFXt9XfP7cfToSWjDeizT3GuZihBCiMKze+Ir16uPQbN7u9ctJSi7W7t2LWvX\nrs1lWwqSGQqBZSVroTonAG/aDMYFO6qLOoCxn8QDemJd9M55Evex6/9n783DI8nLO89PXHlnSqlU\n6iqddamquqqrm6ruhm7cgDEYzHgW7GkPYJr1Ofazxovd+2DGg23MMM+y2A+PF4/XYxtm8dDYjwEb\ndtix1zZgoOn7rrtUh+4zM3WklHdkROwfkZHKUklVOlJ5xuef6paUGa8iQxHv7/193+8rmlMebQnK\n5qwn4FuPC3YNHWTthedQIws4urorFZqNjY2NzR6wnnuVmP5tsT6F2oW+3BzN+9tOwF944QUAJicn\nmZiY4C1veQuSJPH0009z+PBh3vve9+5bkNXEuhDVCmuhwHT+kAwDPZNG8uz/H0AtYp3/NTmPLMo4\nRGXfj+lR3EzZk0jvSH7JmoK5eQUc1hPwzNionYDb2NjY1Am3F74ql/doTgUhncbI5xHk/Zu5Ugts\n+7f7zGc+A8Djjz/Ot771LdoK2s94PM6v/dqv7U90NYCVgGULg1kquRJUnRJOzGmMzZqAW+d/RVLx\nyp5N+w/KjVf2oskCKIqdgG/BVh7gpZQO5Am86ZGKxGVjY2Njsze0lJmAr8kaoiDikpz7fkxrHL3q\nUpABLZ1C9gfu/KI6Z8e6hkgkQmtra/H/3W430Wi0rEHVEpYWqRpaKMv5o5mTwGICLldG/gMln7HH\nZUtQtmCrKZilOPv6QJLIjNmNmDY2Njb1gpYwn3txWcWneCtT+NowhboZnr07ru+/9a1v5ed//ud5\n5zvfia7r/OM//iPvfve79yO2msC6CCx7nIpsxRRWgulC0t8sDQmbYZ3/uJgjVKEE3KOYjjeGy1W8\nEdncSn5padMhPKWIigNnXz/ZqUl0NYeoOCoYoY2NjY3NbtALOceymMWrbF1kKSeWuiDjFGihOQqP\nO07Af/u3f5t/+qd/4sUXX0QQBH7hF36hob3ArYsgWdAEV7IJM13IV5rFE3MztGQCwelAk4SKyH9g\n/UaguR0IkVhTN8FuRX55ecshPKW4hg6SHR8jOzWFewvPcBsbGxub2sHKe+KSymCFCl/eQuEro9wa\nQyOz46wil8shiiKnTp3i5MmTrKys8PnPf34/YqsJrOrzuhbKte/H9MjmhZgsNEA0cwVcSyXBbXmw\nV+hGUDj/eacChoGeTlfkuPWCoWnkV5bvKD+xcB+0/cBtbGxs6gktYRa+8hL4Klz4soqdtgRlEz7y\nkY+QTqeZnJzk7NmzvPTSS9x33337EVtNYK3CVuXKNQFKooRbdq2Po2+CC3Er9GQSIxgAjMol4IUb\nQc4p4cJcBEje5myC3Yx8PA6GcccGTIviSPqxm8A79jkyGxsbG5u9Yha+zOdtpZ67DlFBFuWi80oz\n5D07roCPjY3x5S9/mXe84x380i/9El//+teJRCL7EVtNYGmhVqTKNQGCqQNflVQzhiYdxmPk8+jp\nNJrL1OJULgEvNME6zcVWM6zEd8LdhvCUonR0Ino8ZMbG9jssGxsbG5syoCeTGB5zt79S0k9BEPDK\nblblvBlDE+Q9O07AQ6EQgiAwNDTEyMgInZ2d5HK5/YitJrBWYctihRNwxcuKlLslhmZDK2jf8y5T\nFFapG8G6Bt9qgm3O878V2xnCYyGIIq7BIdTIQtFb1qa6xJ9+isjf/DWGYVQ7FBsbmxqjWPhyV7bw\nZR7LS7xQeGyG5+6OE/AjR47w6U9/moceeoi//Mu/5C/+4i9QVXU/YqsJtGQSRJGsUrkEEEwnjqTS\nPFsxm2HtPuQKQ5AqYQEJ6zecVBNp0XbCdobwlGL5gWfGbR14tUmNXGXhv32Jle/8M9pqvNrh2NjY\n1BjVKnyZx/IQLxYeG79gs+ME/Pd///d597vfzeHDh/n1X/91IpEIn/vc5/YjtppATyYR3G4QhAqv\nBD1kleaWQBSHIBX80Ct1/l2SE1EQm0qLthO2M4SnFNeQ6X5iN2JWl/zaKnNf+DMoVL5zc3NVjsjG\nxqbWKBa+Cn7clSp8gbn7bM1caYa8Z8cJ+O/8zu9w9uxZAN7+9rfzO7/zOxw9erTsgdUKWjJRooWq\nbAJuiAK4XE2bAFq/t2XHaPmj7zemFs3DWkGL1gwr8Z2wnSE8paw3YtoJeLUwdJ35//oFtJUVnIND\nAOTm7QTcxsbmVqzZF1lnZQtfYD7jVVkAUSxW4huZHSfgIyMjJJskITQMAy2ZRHebY1grfSECGB5X\nUzQjbIZ+mwd7pbfCrCbYxr8R7ITtDOEpRQ4EkNvbSY+N2rrjKrH8T/8fqYsX8Jw8RccHPwTYCbiN\njc3tWAWndGEHvlKFLyjkWIIAHndTFL52bEMoSRJve9vbGBoawul0Fr/+5S9/uayB1QJGNguahuZS\ngHzFmxEAdJcDLbZSsePWEtYfYELWERCKEyorgUfxsCTOFeJozgXQVmx3CE8prsGDJF5+ETUWxRHu\n2MfobDaSvnGd2Df/Dqm1la5f/GUE2dR22hIUGxubjVjP3aSjUPhyVLbwBaC7nU0hQdlxAr64uMif\n/Mmf7EcsNYeVeOWc5mmqdBMmmI0QUi7XlKO8rRvBqpLHLbsQhcpNo/QqHmaclgtK46/Et4s1hMd9\n+MiOXuc+aCbgmdFROwGvIFoiwdxf/BcwDLp/+VeR/eauhdTaalfAbWxsbsNKfNdkzSx8yZUrfFkJ\nuOZ2IC7FMQyjIrNXqsWOE/DW1lbuuecevE0wmETb0IxQ2a0Y8/yqLhknoCdTiK3NloCvj8P1Kv6K\nHtsrF5pgBcGWoJRgDeHZrgOKRakOPPDQG/cjNJsNGIbB/Je+SH5pidD/9D48w8eK33N0dZMeuYqe\nzSKW7GTa2Ng0N8Xhg4qGR3ZXvPAF5hRqRdMwshkEV+UWAJXGlqDcAb3YBFjQQlVUgmJedDmHmfxr\nqSRya2vFjl8L6EUP9iwhpauixy5q0Zq4CXYzdtqAaeHsHwBRtBsxK8jKt/+Z5LnXcR87Ttt7fvKW\n7zm6uklfvYIaWcDZ11+lCG1sbGoNa15DXMrhVbbX51MuPIUiZ84p4cZcDIh2Ar7Oxz72sf2Ioyax\nKuApRxWaAGXzWOkmsuTZiJX4phQYqODiB9YXW4bHaUtQSthtAi46nTgP9JKdGMfI5xHkHd96bHZA\nenSU6N99DckfoPuXf+U2vb6jqxswdeB2Am5jY2OhlRS+whXMeWD9uZtxirQUYlFC7RWNoZLs+Cn4\n4IMP7kcct7G4uMhP//RP86UvfQlJkvj3//7fI4oiR44c4ZOf/CQAX/va1/jqV7+Koij86q/+Km99\n61vLGoN1ISZlKwGvvBbKSv6bsQqrJZOgKGiyUNHFD6xPw9RcTsTockWPXcvklwoJ+DY9wEtxHTxI\ndmqS7PQ0rsHBMkdmY6Glksz9xZ+CrtP1y7+C3HL7zpmju5CA2zpwGxubEvSSwlcld/1hvciZUW6N\npVHZdgJ+7NixTcXwlkj+ypUrZQsqn8/zyU9+EpfL9N/+zGc+wxNPPMHZs2f55Cc/yXe+8x3uu+8+\nnnzySb75zW+SyWT4wAc+wCOPPIKiKGWLY70ZIY9LciKLlavauWQnAkIx+W/GBFxPJsBjLnoqfyMo\naNFcMnIuh57LITqaS4O/GeqyuRhRdqgBB1MHHv/B98mM3bQT8H3CMAwW/tuXyMditP2rn8R74p5N\nf65YAbcTcBsbmxK0ZAKcTnSpssMHYb3IaVkPN3res+2M8urVq/sZxy189rOf5QMf+AB//ud/jmEY\nXL58uTj859FHH+WZZ55BFEXOnDmDLMv4fD4GBwcZGRnh5MmTZYvDkh7E5cpaEAKIgohX8bAma0Dj\nrwQ3Q0smMQLmirjiN4KCFk11yrgAPZW0E3Agv7QI7LICbk3EHBuFt729rHHZmMS/910Sr7yM++gw\noZ9875Y/JweDCA6HbUVoY2NzC1oyAVUYPgggizJOyUGikPc0egJeufbWbfKNb3yDUCjEI488Uhza\noet68fter5dEIkEymcTvX3fG8Hg8rK2tlTWWohZKylX8QgTTinCtMAxGSzWXDtnQdfRUCs1lJr3V\nqoBnCtPAtKTthAKmBziShOTfeXOOo7sb0eWyR9LvE5nJCaJf+xskn5+uX/5VBEna8mcFUcTR1U1u\nYR6j5P5qY2PT3OjJJIbbTMB9FZZ+gilDWS0WHhs776m5TqhvfOMbCILAM888w8jICB//+MdZXl7X\n4CaTSQKBAD6fj0QicdvX70Qw6EGWt34obSSmZgFIyBq93gDhcGWt8FrdAVakBQAculqR41f6d9wK\ndXUVAMPnBFS6Q6GKxiZ6Ta9q1W0m4H5Fp6WJzv9WjMeXcYba6Ohs2dXrI0cOE79wkaBHRK4xK9Na\nP/d3Ip9Kce4L/wUjn2f4if+V4NG7N1YuDfYRm5wgIGRx1YA3ez2f/0bAPv/Vo1bOva6qXMtkwNcJ\npOlqa6t4bC0uH6uymfM5yTd03lNzCfhXvvKV4n9/+MMf5lOf+hR/8Ad/wEsvvcQDDzzAU089xRvf\n+EZOnTrFH/3RH5HL5chms4yOjnLkyJ2Hgywv76yKmV6OgyCQUwQUw0k0Wt4K+91w4CRVUD0kYyv7\nfvxw2F/x33ErcvPmwiMlFYbhpMSKxpbTzKrgmmD+uzQTJdfRPOd/MwxNI7dkDuHZbZxi7wBcuMj0\nyxe21CdXg1o/93fCMAzmv/BnZObmCb7rJ8j3b+/zMYJhAOYv38QrVNfqq57PfyNgn//qUUvnPh+P\nA5CWzcKTnpEqHptTcLEs5QFYiy7Vfd5zp+S+5hLwzfj4xz/O7/7u76KqKocOHeJd73oXgiDw+OOP\n88EPfhDDMHjiiSdwlFmjqyWT4HZhiJVvRgBTBpFxWBKIxt6K2Yj1+2aclfdgB3BIDhRRJqHohXga\nW4u2HXY7hKeU0oE8tZSA1zOrzz7N2osv4Dp0mPb3/tS2X+foNL31c3NzeO8pX++MjY1NfbI+/dtU\nCviqJL218p5G732r6QS8dLjPk08+edv3H3vsMR577LF9O76WTBS1UJWcgmnhVTzkJUCSmm4ao1bF\nIUgWHtlDQkoDZhNms7NbD/BS3AfXE3Cb8hB/6gcginT/u1/dkb+6bUVoY2NTin5b4as6GvBs4bnf\n6IWvmmvCrCX0ZBLdbTUBVv5C9MjmNEbD03zTGK2Vr2VHVJ0bgYe4XGiCbbLzvxnlSMDl1iByMEhm\n9Gaxydpm9xiaRnZqEkfPgR0PrFA6Ok2JnZ2A29jYUDL8riAmqNbOvyEK4HI2fOHLTsC3QM/lMFSV\nvMv0Fa/WhQigu5tvGqN1I0jIGoqo4JDK5+++XbyKh3hBi2Yn4HsbwlOKa+gg2upq8f1sdk9ubhYj\nl8M1OLTj14pOJ3IoZFsR2tjYAOtj6NeHD1Yh75HNfhQz72ns566dgG+B9cGrTnNLt5oJeN6poKdS\nTWUXZi04VqvgwW7hVTzFrbBGX4lvh70M4SllXQd+c88xNTuZ8TGAXQ82cnR1o8VX0JpM4mZjY3M7\npc/dSg8ftLB2uzWXw07AmxW9sBLMFnygq5qAu2QwDPRMuuIxVAtLgrIiVseDHTY2wTb2jWA77GUI\nTynrCfjYnmNqdjLj4wC7qoBD6UTM+XKFZGNjU6dYz91qDB+0WM97FIxsFiOfr0oclcBOwLfAWgmm\nlWo2I5gXYrbQkdxMSeCtFfDq+EV7ZA+aLIAiN9W534q9DOEpxTkwCIJQrN7a7J7M+BiCLOM40Lur\n11uNmKqtA7exaXqK07+rNHwQwFM4bq4J8h47Ad+C9WaE6mmhPAXnlUxhEaA30TRG6/xnnGLVV+KG\n29XwdkjbIb+8ZI4wF/d225DcbhydXWQnxptKVlVudFU1GzB7+xCV3fVIFK0I7QTcpoEx8nnWXn2F\nmT/5PDf/t4+SnZqsdkg1iaUBX1P0qhW+ioXHJth9rmkbwmqiF5sAdURBxCU5Kx6DdSFaHcnN1Iip\nJ5MgSeSl6ix+YIMWLdG4N4HtYGga+ZUV3IfvPOxquziHhsg9N0dufh5nT09Z3rPZyM3MgKbtWn4C\nthWhTWOTmZxg9ZmnWX3huaKsFGD1xRcI9919WmyzocZioCikndWZfQLrz/t0Ie9p5OKXnYBvgbXq\nWpM1vIoHQRAqHoNTciALEsnCMJhGvhA3oiWT4HWDIOCrggc7gFcxu7HzLgdydBlD1/dc/a1X8vGV\nwhCevem/LVyDQ6w99yzZ8TE7Ad8lmXHTS323DZgAUqAF0e22E3CbhiG/usraC8+x+uzTZKemAJD8\nAYLv+HF8Zx9g6g8+Q3rkSpWjrE3UWBShrRUEoYrSTzcCAqnCpp7WwAYIdgK+BUUtlKziVVqrEoMg\nCHgUDwnZbL5s5AtxI1oyge4rDEGqcgVcdUm4DAM9nUbyVuemVG3yBQeUvUzBLMWq2mbGRwk8/EhZ\n3rPZKDZgDuy+Ai4IAo7ubjITExiahiBJZYrOxqZyGPk8yQvniD/zNMkL50HTQJLw3X+GwCNvxnvy\nVHFIlWtwiMzYKFo6jeR2Vzny2kFLJdGTSYy+bmC1as9dURBxyy4Sstl82ciFRzsB3wJLC7UiqbRV\nqQILZvK5Kq2ZMTXwhViKns2iJ5PkO4NArqorcTC1aH7M89+0CXiZPMAtnP39IEl2I+YeyE6MITgc\nOPa4g+Do6iYzOooaixY14TY29YCRzxP75t+y+swzaAnzOensHyDw8JvxP/QQ8iYN455jx8ncvEH6\n+gi+e++rdMg1ixqLmf+2+qhmAg6FvEc2nzmNLL1tzv30bZBfNC/GNY+Ir4oXokf2sCo1/kqwFDUa\nASDbap73alfA05YXeAPfCO7GnaZgzibm+e2nP83NlfFtv5+oOHAe6CU7OdnQNlP7hZ7Nkp2ZwdnX\nv+eqddGK0B7IY1NnrPzgeyz/0z+CAK3v+HEGPvkfGfi9TxH8sXdsmnyDmYADpK/YMpRS1GgUgEyL\nufPsq1LhC0wnlFWp8adQ2wn4FuSiEYRAgLxcvWYEAJ/iIWM1YTaJBMVKwJMtZuNr9RJwswK+rkVr\nHheajaiFCriySQX8ytI1VnNrXIhd3tF7ugaHMPJ5sjPTZYmxmchOT4Gu4xravfzEwm7EtKlXUlfM\ne07/J36Pjn/7AZzbaKx0HTqMIMukRq7ud3h1hRozE/Ckv7rPXevYSasJs4HzHjsB3wQjnye/uIgR\nMrXf1ZJAmMf2kHE2vh1PKbmImYCv+s3Mt1o3AlmUcUoOUoUm2EbeCrsb6xXw2zXgkZR5455L7myY\ny7oO3Jah7JTiBMw96L8t7GE8eyM6Ocfk+RHikUV021azYhi6TnrkKko4jNIe3vbrRIcD16HDZKcm\ni1JTm/UK+JqvetO/LbyytziFupHzHlsDvglqLAaGgdYWADJVvRA9iods0Qe8cS/EUqwbwYrXmkJa\nzQWQlzVpFWie878Z+eWlLYfwRNLmhMy55MKO3tOq3mbGxuAtb9t7kE3EXkfQl6KEO0AU7Qr4Lkit\nJpj/T7+HU1fJADOCSFrxkHN6yXv84A8gBlpxtAVxh9rwd7TT2t1OS0eo2qHXPdnJCfR0mvG2Qzz7\n7Wsc6W3hSG8rQf/dLYM9x46THrlKauQq/jNnKxBt7WNVwJe8QM5MgquFV3E3xRRqOwHfhHUNsnkB\nVnsrxhAFDJezoS/EUqzzH/MYCGkBt+yqWixe2U1cNhPMZjn/m5FfXt5yCI9VAV/MLJPJZ3Bt8/Ny\n9BxAcDjsCvguyI6PI7pcKGVomhRkGSXcYSfgu+Dms6/i1FUW/Z3kPX7k1BrOTILWtSjS2gJsWJNm\nMb904cSbePMTv1KNkBuGVEHD/Vo+yJVXpvnuK6aULRRwcaSvhSMHzIS8J+xF3GAj7Dl2nMX//k3S\nI1fsBLyAGo0i+fysCTkAfI7q7vznJTBkqaELX3YCvgm5QgKYbqmuDR6At+DAorudDa2FKkWNRJD8\nAVaFLB7FjShUTynlVbwsyRrQvBXwOw3hyWo5VrLx4v/PJSMMtWxvwIUgSTj7+smMjaJns4jOyg+7\nqkf0TJrc/Bzuo8Nl86V3dHeTfP01tLU1JL+/LO/ZDKycO08n0Pa+f8Pwow8Uv65pGmuxFeLzMdYi\nMdKxRXLLK+jxFVrHLuC5fh5d1xGbdK5AOUhdNfXfM95uPvb++xifX+P6dJwbM3Gev7TA85fM1Y/b\nKXP4QEuhQt7CUHcA19BBBIeD1FW7ERNMOU9+MYazr5+kmkIWZRzi7qbrlgOv4gVBwHC7Grr3zU7A\nN0EtaJDX/A5Qqy2BMBNwzeVAW1ytWhyVwtA01KVFXINDJNVkVRc/YJ7/2SbT4G/kTkN4oinTLcgp\nOchqOeaSC9tOwMGUoWRu3iA7OYn7SHmmbDY6mYkJMIyi/ETTdfKagVPZvRuKo6ubJK+Zib2dgG8b\n19QNcoLM8EOnb/m6JEm0doZo7QwBw7d874e/+xk650aYHRmj9/ihCkbbOBj5POnr14g6WugZ7OL4\nYBvHB9t4N2AYBvNLKa5Px7k+vcL16TgXRhe5MGruZDpkkY//7BtwHzlK6tJF8vE4cktLdX+h0LN4\nBgAAIABJREFUKpNfWcHI51HCYZJqHK9cneGDFt6CBbA5hbpxdfr28nsTLAnEis88PZYfdDWwEtCc\nW8HI5RreiUNdWgRNQ2lvJ5VPV1WHBqYGP+00b0T5+EpVY6kWdxrCE0mbCfjJkGnttZ1GTDWvc+5G\nDE3XcQ0dBNanOtrcnXX9t3nu/vo71/nIHz3F//0PV1hY2t39wbYi3DkLY9O0ZFZYae9DcTq2/Tpn\nwQZv5oXX9iu0hiczNoqRyzHp7uLkwVv19IIg0B3y8ujpHn7xPSf4P37lTfzRr7+ZX3vfSR452UUu\nr/PySKRoR5iyp2IW9d9Ke5iEmqqBwldhCJ7PhZ5MomcyVY1nv7AT8E1QIxFEz7oPZTUr4J7CH0Kq\n1VWIbWeNbvWG1YBJqA3d0GvgRuBBVUQI+MgtNKdLxJ2G8Fj679PhewDTE/xO6IbBF/7HZT7/t+d5\n+vyc7YSyC7KFc+UcHCSv6Tx/aQFNN3j6/Bz/4QvP82f//SKTC2s7ek/binDnTD73CgDK8D07el3/\nG88AkLtuJ367xZKOTLi7OTl09+FgLV4HZ4Y7+NA7h5FEgSvjy+t+4LYMpfjclUIhMlqmqh7gsF54\nTAXN4meuQfMeOwHfgKHrqNEISriDZN4cAW/5QVcD60JcK3hiN/oD0tp90NrMLcGqJ+DWVlh7kPzi\nIrqaq2o81eBOQ3giBQlKn7+XoLP1rhXwbz41ystXzc/43I1FlI5ORI/HTsB3QGZ8HNHrRWkPc306\nTjqb5233H+B/ee9J+jp8vHglwu9/6SU+//Vz3JiJ3/0NoTgBs9HvL+Ukc/kSAL1vOrOj13Ud6mPV\n4ac1OkVeVfcjtIYneeUyBrAS6qWvw7ft1zkdEocOtDAxv4Ya7kF0u0ldtf3ArQp4PmjKz6r93PU0\nSd5jJ+AbWNdCdZDMp3BJTmSxelJ5qwlzyW/qOxvdq9fS3+eC1Z2CaWHtfuTa/GAYxfiaiTsN4Ymk\nooiCSMgVpMfXRTy3RlLdXAbx1LlZ/v65CTqDbtpbXFyZWCavGbgGhlAXFppWY78TtGQSNRrBNTiE\nIAicu2EugO4/0s7ZYx188uce4DceO83h3hbO3Vzkf3/yFf7gr1/l0vgShmFs+b6Sz4fkDzT8/aVc\naHmNlsg4aw4f3UcGdvz6VM9BnHqOiVft6utO0bNZMjdvsuBs48iRnh1rlU8MBDGAazOruI8Oo0YW\nTOljE2MVvnI14PxWevyVQt6jLtgV8KbAuhAdHR0ka0ALpUgKDlEhVljkqw0ug1CLDjRm5bma8h/z\n+Obnny4sCBp1JX4n7jyEJ0bYHUISJbq9ncDmfuCXx5d48p9G8LkVfuNnTnPfkXayqsb16ZV1P3C7\nCn5X1gfwDAJw7kYMpyIx3G9+NoIgcO+hEP/hQ2f4+Afv5+RQG1cnV/jc37zOf/ryK7x2LYq+RSLu\n6OpCjUbQ7arsXRl75SIuPUey59CunEz8J03ZysIrr5c7tIYnffMGaHkmNtF/b4fjg+bfyuWJZTzD\nlgyluavgaiwGokjSYzqfVFuC4pKciIJIzGcurhq1MGAn4BuwEkCzG7j6LhxgJqExp4rgcDTshWih\nRiMITifJQuOjr0a2whIFS8pGXYnfia2G8CTUJMl8ig5POwA9XlPGsFEHPhNL8n998yKCAB/5qVN0\nBj3cW3hwXhhdxGnrwLdNdmIcMN1j5haTLCynuWeoDUW+/VY+3B/kiX97H7/3c2c5czTM2Nwq//kb\nF/jkf32R1wuV81Ic3d1Nu8uzUxZeNhsoA/feu6vXDz1sylaM0Wtli6lZsDTbk+5u7tmG/nsjQ90B\nnA7J1IEfLzRiFiwNmxU1GkVpC5EyzGbHauc9giDglT0suvIIstyw/Vd2Ar4B6+EjtLeh6vmqV2AB\nPIqbVD6N0tFJbmH+jlvJ9YxhGOQiUZT2cIn+vjYq4CsBU4bUnBXwzYfwWPrvDrc5Brrbd3sFPJ7M\n8fmvnyOdzfMLP3Gco32tAAz3t+KQRS6MLtmNmDsgM1ZowBwY4twNc9v89OE7VwEHuwL82k+d4tO/\n9BBvuqeLucUUf/J3F1hJZG/5ufWR9LP7EHljIdwcQUfg0Jt3pv+2aO0IseRtJxifJZ1sbGercpO4\nchkdAXHwED73zr2qZUlkuK+V+aUUyUAY0ecjdfVqwz5X74aey6HFV4pFR6j+c9eMwUNCM/MetUHz\nHjsB30DO0iC31kYzghmDl4yWRensxMjlirZwjYa2toaRzaB0dJTcCKrdhGkef9ltgCSRa7IKuDWE\nR9m0AdNs3LEq4F2eTgSEYiNmTtX4z393nlg8w3t/ZIg33rM+tVGRTdnEbCxJXHQjtbQU3T1stiYz\nMYbU0oIcDHLuRgwBOH2ofVuvPdDu5Zd/8gQ/86OH0Q2D165Fb/m+YlsRbovE8iptq/Ms+zvwt7Xu\n+n3U/iPIhs7Y8+fKGF1jo6XTZMfHmXW1c/zo7qfAHh8wZShXJlfwDB8jv7S47sDVZKgxs5Ait7cX\n+3eq/dy1YkipaZSuLvR0Gm11ew3l9YSdgG9AjUYQZJmUx6x41sSFaPmQd5iVrkbVgRf19+GOmrkR\neBQ3AgIJI4MSDjddBfxOQ3iKFXCPWQF3SArt7jZmk/Nous4X/8dlRmdXefhkFz/58OBtrz910HzP\ni+NmFTy/vEx+pTm91rdDPh4nv7SEa2CQVDbP9ek4B3sCBLzb96AGODtsfl4vj9yacNhWhNvj5rOv\nIGKgHxy++w/fgeDpkwAsvX6+HGE1BenrIwiGvmv9t0UxAZ9YtyNsVhmKGlt/7iZqqALuUTwYGIhh\n83NuxOKXnYBvwLIgTGkFCYRcAwm4NQ0zZFZbGlUHbsl/lBpKwEVBxC27SKopHJ1d6MlkQ0/m2sh2\nPMCtCjiYOvCkmuJvfnCRl0eiDPe18j+/69imTgWnDhV04DcXbRnKNshMWAN4hrhwcxHdMDh9eHvV\n71LaAi6GugOMTK6QSK83XCqhdlNv2aD3l3Kxet5MmDvOvGFP73PoofvJCyLy5I1yhNUUpK6Y+u+F\nwAGGunc/sbW3w4fPrXBlYhn38DGgeRsxrQq40h6umeduaQz5dnOx1IiFATsBL0FLJNBTqYIWyroQ\na2MlCJBtM284uYXGuxChpAG2o6Pmzn9KTeHoaj6v5LtNwXRIDloc682Z3T7zHH3vygidbR5+7adO\nbdogCNAZ9NARdHN5YhmlfxCwJ2Leiez4OADOwaFiE+VuEnAwq+AbZSiCKKJ0dqHOzzWk3rJcuKdv\nkBUVhh7Y2QCe297H72G5pZtgMko8ulSm6Bqb1UuXyAsirSeGkXbhPmMhCgInBoMsr2VZdLQgtbSQ\nunq5Ka97S3ojt4dZyZgyj4Bj+97q+0VxCnjBm7wRd/7tBLwES/+tdHTW5Eow1VqYCjXfeFsxsH4j\nMFfiSRySA6WKHuwWXsVDUk2hWMNKGvBGsBWWP+5GD3Dd0ImkYnS622+pbmtJc8HkCqT4zcfuvWuT\n1KmDIbI5jRmH+f5Wk6HN7Vi7A3JfPxdGlwgFnPSGd7dAfUNBhvLKtdtlKHomgxa3pUCbMXd9gkB2\njZXwALKy8wbA2zh4FAEYe/bVvb9Xg6MlEuiz08y4OrjncOee329dhrKC59hxtNXVpux/WJd+hplL\nztPmCuKSXVWOal19kGkrzOJowJ05OwEvYfMKbC0k4OYFmJR1JH8AtUEr4LloBEQRJRQioaZqQv4D\n5jWQNzSwtGgNeCPYivUK+K0JeDy7iqqrRf03wEw0wbefNhO3e44pdATv/vmdsuwI57Mo7WEy42NN\nWYW6G4ZhkBkfQ25rY3wV0tk8pw+373gIiUVn0ENv2Mfl8SVSmXzx68VdniZMRLbD1HMvA+A8trfq\nt0XHG+4DYO3SxbK8XyOTGrHGz3ftyn5wI8cHzfe4cosfePPpwNVYDMHpIuUUiOfW6PHufXFTDqzc\nK+kwEL3ehix82Ql4Cbc0AeZrw4UD1pswU3lTBqHGYg05LEONRlDaQhiSSEJN4nNUX34C6yvxfKgF\naMytsK3Yagz9wgb9dzyZ4//8+nnSqy4ERJJsz6nnWH8riiwW/cD1ZLI4FtlmnfzyMtrqKq4S+cl9\nu5SfWJwdDpPXDM7fXPcEX7citBPwzciOmAla/8Nny/J+Q2dOkBUV3DO29OpuJC6Z5z7VM0RbYO8V\n2o5WcyLv1YllXAUdeOpqc00mNQzD9AAPh5kv2Md2e3fvLlNOLOmt1X+lRqMYmlblqMqLnYCXUNoE\naGmhWpyBO72kIhQr4JYMwjCKi4VGQc9m0eJxlHAHsfQSqq7S5emodlhAiQTIJSK63U1WAbeG8Nza\n8BRNrzug5FSNP/7b8yyuZnjfmw/R6TW3MrdTyXYoEsP9rcxEk+jdvQBkbRnKbRQnYA4OlUy/3L0F\nHsAZS4ZS4obi6OoB7Ar4Zqi5HK3RSeLOAF2H+srynrKisNLeTyC7ysLoVFnes1FZvXSJnCDTdfJY\n2d7z+ECQVDbPjOZCbguRGrmKoetle/9aR08kTOvfcJjZQgLe46uNBNxXmoB3dYGmNVxxxk7AS1Cj\nERAElPZ2ZhJzeGXPLQ1m1cKrmBXw5C2NgI2VBK7Lf8LMJsyH/wFfdzVDKmKtxFP5tNmkFllompv0\nXYfweNr57qvTjM2ZdoP/6uFBerydZLQsy9nt6YhPDZkylCmloAO3nVBuw/JIT7Z1l0y/lPb0nj3t\nXrraPFwYXSSbMytLzdhovF3GXrqIU1fJ9B4u6/sqR82Ecup5Wwe+FfmVZYTFCFPuTu45HL77C7aJ\nNZb+6qSpA9eTSbLTzbMQypX0Xc0W5jfUSgX8tsIjjdd/ZSfgJeQiEeRQiJygE00v0uPr2rXGspyU\nXoiOwoXYaDKIYgIe7mCmxhJw74atMCOfJ7+4WOWo9p/tDOFpc7TxnZencSoSH/ixIwiCUBxJXzoR\n805YdoTnEm4QBDsB34RMYQT9lZzpTnC36ZfbQRAEzgyHyeV1Loya17PociEH2+wEfBMir5jj51tO\n7278/FYceNC0M0w3mfxhJ1jSkGlfN0d7W8r2vscHCjrw8aWiH3gz2RFaHuBKOMxcYh5REOnylG+B\nsxc8G6S3AGqDFR7tBLyAKYFYwRHuYDYxh4FBr6+n2mEB6xdiUk02bAU8F6ndBNwnb9gKo3GtIEu5\n2xAen+Ll8miC5bUsb763G6/LdIXoLjTxzCa2d412Bt2EW11cmEmgdHWTmRhvmh2G7WA1YCrhDl6b\nSiIA925z+uXdOLOJG4qjq5v80hJ6NrvVy5oSaewaGgKHHt7d+PmtOHBsiITiIbAwjt5gGtdysXze\nbFKVDh3d885PKS1eBwfCXq5Px1EOm4OVmmkgT97yAA+1M5tcIOxuR5HK4O5TBjYrPNoV8AbF0hYp\n4Q6maywBlEQJl+QyJRDhDhDFhrsQLQtCR4eZgPsULwHH7gctlJN1CUrJjaBBrSBL2WoIj6ZrxDJL\ndLjb+ecXpxCAd5ztLX7f8gLfbgVcEAROHQyRzmrkOg5gZLO2BrkENRZFTyaR+we4Ph1nqCdAyw6n\nX27FQKef9hYX527EUPPmosfR3ZgPu72wGlshuBZhuaUbb2t570uiKJLoGsKtZZi+eL2s790oJK9c\nIS06GLi3fPpvi+MDQXJ5nYm0hNLZSfraSMM1+21FrrDznGl1k86na8YBBczJyoqokFSTKB2dIAgN\nV3i0E/ACpQ2YRQ2yvzYScFj3ohZkGaU93HBbMZYERQsGiGWWOODrrgn5D9wqQVGaqQK+xRCeWGYJ\n3dBxGi2Mz69x/9HwLZaDYXcIWZSZS27/GrXsCGcc5r/2QJ51rAE8i97wrqdfboUgCLzhaJhMTuPy\nuLngKjqh2IugIjefeRkRA2OP4+e3wnP8BACzL722L+9fz6jRKPLaMlPuTk6WaeenlBMFO8LLE0t4\nho+jZzJkJibKfpxaxKqAR5ymq1p3jTRgWph5TxrR4UBua2u4ooCdgBcobQKcTswhCiLdntpZDXoV\nd9Gb3NHVhZZYa6iR6GokguQPMK+ZjXu1svsAt2vAAdQmqIBvNYTH0n/HIubt450P3OoIYf7tdDCX\njKAb25OSHBsIIksiFzLmtqOtA1/HWoxczZuV173aD27k7LDpNmS5oSi2FeFtJC6Y4+e7Htzb+Pmt\nGHiTKWvJ3xjZl/evZ9aumJKQxbY+OoLusr//cF8roiBwZXy5RAfeHDIUNRpFamllNmfe63tqpAHT\nwqt4WFMTGIaBo7MLbWUFPZOudlhlw07AC1gaZDlsunB0esI1o4UC0w5R1VVWc2sN1xFsaBrq0iJK\nx7r+u6eGEvCAI4CAQDS9iOh0mk1qTVUB35iAm1WTmWkY6g5wZJOmqC5vF6quEktvb8S2Zat3MeUC\nSbInYpaQGR8HQeCFJceepl9uxcEDAVp9Dl67HiWv6XYFfAO6ruOZHSUtORm8/8S+HCPc18WKK0hw\ncRo1m9uXY9QrsdfMxY/3xIl92RV1O2WGevyMza0hDJkON6mRxm/ELD53w2HmEgULwhqSoAB0eTrI\naTkWM0sl/VeNU/yyE/ACVgU84VfIaNmaqsAC9PlNje3k6nTDNWLml5ZA01Daw8wUGvd6a+j8OySF\nbm8n02szaLqG0tnZFE1qWw3hsSrgesbLjz/Yt+lDscdn3si3qwMHU4aiCRJqqIvc9BRGPn/3FzU4\nhq6TnRjHCHUQzwvcu4fpl1shFmQoyUyekakV03bS6bQr4AVmR8bw5xKsdgwilbEBcCOZ3oMoRp6x\nly7s2zHqDcMwUG+MkJRcHDp9dN+Oc3ygDd0wuLFi4Og5QPr6tYa//+SXlkDXCx7gc8iiTLt77+5K\n5aQ/YOY9E6vTDVd4BDsBL2JJIGbyZtWv1hLwgUICPrE23XBWhLmi/KeDmcRswQqpNobwWPQHesnp\nKgupaLFCqEYaZyW+GVsN4ZlLmAl40BEsumhsZN2KcCc6cDPRn3e1Y+TzTeXHuxXqwjx6JsOSz/x7\nKLf8xOJMiQxFEAQcXd2oC/O2Gw0w/fwrALiOl2f8/FYETp0CIPrauX09Tj2hzs+hpBNMero4NrD3\n8fNbcWLA7HO5PGHaERq5HJmxxu5DsYwn5FA7c8kIXZ4OJHH/Fpi7od8qPK5Nrz93G6TwCHYCDmyQ\nQKzNAnCgRiwILayV4C0V8AZJwK3dB7m9ndnEPB01Jv8BGPCbOueJtcY7/1uhLi2hBNtuG8Izs7aA\nnnXxY28YRBI3v4Xs1IoQoKvNY46GLmidbRlKQX4CXNcDOBWJY3ucfrkVR/ta8LkVXr0WRdcNHF3d\nGKraFH73dyN/zfSgHnykPOPnt+LQw/ejIyCOXdvX49QTSwX7wUzPQdxOed+Oc+hACw5Z5MrEMu6C\nDrzRx9Jbha9sixtVV2tmAE8pff4DAEyuzeDoNJ8pjfTctRNwCs1mmoYSDjOTrD0JBEDA4SfobGVi\nbQox0ILgdDWMBMVyoEm3ekz5Tw3eCAaKC6CpEivCxjj/m2Hk82jx+G0OKMlcmoyRRMj5ePT01ovU\noKsVp+TYkQTFsiOckMxj2o2Y6+fgmh4oy/TLrZBEkfuPtLOazHFjJo6ju6ADb4JehzuRS2cJxqZY\ncQUJD+xvUcYfbGHJ30lwdYFUfG1fj1UvWPrv4OlT+3ocRRY50tvCTDRJvvcgCAKpK43diGk5oCwX\nWkoO1JgDCoBbdtHpCTO1No0YDCLIckM9d2suAc/n8/zWb/0WP/uzP8vP/MzP8C//8i9MTk7ywQ9+\nkA996EN86lOfKv7s1772NX76p3+a97///Xz/+9/f9TGtBNDR0cnM2mxNeVCX0h/oZS2XIJ5bxdHZ\n2TAj0a0KeMRtau5qZQBSKT2+biRBYmJtet2KsIE1svl43BzCs8EB5fuXTZ/iHl8HHtfWFSlREOn2\ndrGQiqLp2/fUPXUwxKKjBU1W7AQcMwE3BJGII1iW6Zd3olSGYjdimtx88RyKkSfbX97x81uhDx5G\nxGD0OXssvaHrCBM3iMtehu89tO/HO16wIxyJZXH29ZMZvYmea9yGWOu5O2dZENZYA6ZFv7+XdD7D\nYnYZpbPLlMYZRrXDKgs1l4B/61vfIhgM8ld/9Vd88Ytf5NOf/jSf+cxneOKJJ/jKV76Crut85zvf\nIRaL8eSTT/LVr36VL37xi3zuc59DVdVdHdNKwI1QkFhmiV5fT814UJdyiw7c2iJe3p7LRC2jRiMI\nTiczxAHoqcGVuCLKHPB1MZOYQwi2IsgyagN1Y29kswZMwzD44YiZgJ/u67/re3R7O9EMjUg6tu3j\nHh8IIskSi552crMzDd/oeicMTSM7NUnc24YmymWbfrkVJwaDuJ0yr16LoFjbvQ28yNwOi6++DkDw\nvtMVOV7oPnPM/UpBetHMZKamUNQMc/4e+jv3vyB2YrCgAy/YERr5PJmbN/b9uNVCjcUQZJlpcRWo\nzecubJDfdnaiZzJo8XiVoyoPNZeAv/vd7+ajH/0oAJqmIUkSly9f5uxZU3/36KOP8uyzz3L+/HnO\nnDmDLMv4fD4GBwcZGdmdh6q1ElzxmqejHi7E9QdkfW/HGIZBLhI1HVAKcoVaa4C16Pf3ktfzzKUj\nKB0d5ObnGmYlvpHNpmCOTK6wlDW/fjB0912Knl3owJ0OiaN9rYyLQTAMMhPjO4i6scjNzmLkckyI\nwbJOv9wKWRK573CIxdUss4bXnDzX5BVwefw6eUHk0Jv2x/97I4cevBdVkHFMNW7it11mXzYXP8LQ\n0YoUxPo7/HhdMlfGl3EPmxM3G1kHrkajyKF2ZlMLuCQnQef+9Jfslf4NhUdoHB34/nU17BK32zTa\nTyQSfPSjH+U3f/M3+exnP1v8vtfrJZFIkEwm8Ze4M3g8HtbW7qybCwY9yJtoKGNxM6lYCwmwBMe7\nDxIO154Exd1yDF6H+ewc7UfvZwlwJJbLGmulf+/cShwjm8HX28N8eh6fw8uR3t6a3IG4Z/UwT8++\nwLIR40BfL0uzs7Q6DBytgbIdo1auu1xh6FNooIdQIaY/+9ZlBFcSgGO9g4R9d471uHYQbsAqO7tG\n33RvD89eMOUWcmyW8D43v1nUyrm3WDhnJr9zzhAPn+6pSHxve2CA5y4tcGUuyanODvKRhYqdl1o7\n/4uzUdqSUWJtffQfrNT2vJ+XQr2EY+MY6QQd/ZUrRtTa+T9/5TIu4PBbHqxYbPceCfPchTkcw2dA\nFFFvXKvIsSt97vOpNFpiDd+RQ0RS8xxqG6Sjo3zPsXLibz2K8JrAXGaetsP3sQQ4Uyt1nfdY1FwC\nDjA3N8dHPvIRPvShD/Ge97yHP/zDPyx+L5lMEggE8Pl8JEomQVpfvxPLy6lNv56YnkVwurhSqNQF\njCDRaG02wbS7Q9yITZDufysAyzfHUcoUazjsr/jvnb5pWj2p/hYWEhMcbh0iFqvNCZ9BwbTcuzR7\ng56gKQeYu3Qdz9HyjKeuxvnfipUp0w0oJXnQo2vML6V48fI8gdMZdEGCpEI0fedYPXnz7/FGZHJH\nv9dQh4+/c5nnd/HCFRwPv22Xv8X2qaVzbxG9YA4DmXOGeF93oCLx9YfcOBSRH74+w+lwJ5kL55kf\nn0fylnf4z0Zq8fy/+q3v4wM4NFzR2ISDRyE2zmt//0Pe8G/eXZFj1tr5N/J5pKlRFpUApw72VCy2\nQ91+nrswx7NXYxwcHGLt+nUWpiKIrvJP4LSoxrnPTpkWr0mPC83QCTvba+rz30iXp4PRpQnSB94C\nwNL1caT76yPvuVNyX3MSlFgsxi/+4i/ysY99jPe9730AHD9+nJdeegmAp556ijNnznDq1CleeeUV\ncrkca2trjI6OcuTIkR0fzzAM1GgER0cHs8l5JEGiy1tbHtSlDPh7SeZTJFrM7eh6l6BY+vtkixMD\no2blJ2BKKhRRZqLECrJRvNg3sj4F09RFfvsl84YtuFK0u0Pb8osNOPx4ZDezO/ACB+gOeZDa2klL\nTtJNbEWYGRtFE0S09s6yT7/cCocice/BEJHlNLkWcxHUrDrw5EVTh93z4JmKHrfrgfvM41++VNHj\n1hLxGzdRNJXlUD8+d+UsaY8X/MCLY+l1nfT16xU7fqVQY+uDB4GatCAspd/fS1bLEQ+YNeNGkaDU\nXAL+53/+56yurvKnf/qnPP7443z4wx/mN37jN/jjP/5j3v/+95PP53nXu95Fe3s7jz/+OB/84Af5\nuZ/7OZ544gkcjp1rJLV4HCOXQy5YEHZ5O5DFmtwYAEp04LkoUmtr3V+I1jCAJY+ppa41//VSJFGi\n19fDbHIeIWxWw+t9AbQV+aX1ITyJtMozF+YIBUVyRoYOz/aaAQVBoNvbRTS1iKptv0FaEAROHW5n\nztFGPhZFS9Tmjsh+oqsqmakpFhxBTh3trKgky3JDmdQ8QHMm4Lqu45sbJSW76Lt3/yYwbsbAqWHS\nkgvv3Bh6A7hc7YapF039t2u4PLuL26WrzUPQ7+TKxDKuog688ewI1aj53I15zOurp9YT8ELeM6Ut\nI3q9DfPcrblM8xOf+ASf+MQnbvv6k08+edvXHnvsMR577LE9Hc9qwMwH/eS0KXq8tVuBhVudUDo6\nu0hfG0HP5RB3sfioBawK+IwzC6na9CItpT/Qy9jqJDGf+f/1vgDaCnV5fQjP91+bJJfXOXPaxw9T\n0OHevhtHj6+Lm/Ex5lNR+vzbX1ydGmrjdVc7B9NzZMbH8J7cXx/gWiM3M42ga8y52vdt+uVW3Hso\nhCyJXFiV6KFxF5l3YvrSDbz5FAu9x5Gkyk4HlGSJeMcAXXMjzF8fp2f4YEWPXwukr17BCfQ9eH9F\njysIAscHgjx7cZ7FQDdIEqmrVysaQyWwCl+zjgxQu8YTFgMlEzG7u7pNe9Z8HkGuuRR2R9RcBbzS\n5AoJYNxvfpC9/tpOwPv8BxAQ1idiGkZd2+HlohEQRcbFOAJCzW+FWRMxJ/VFRI+3ocZPJsRjAAAg\nAElEQVTiWpQO4VHzOt99ZRq3U6LHHEq27Qo4rHvL7mQkPcCxgSCRQqLfjH7g1u8c84T3bfrlVrid\nMieH2riacgLNWQGfKYyfd584WZXjOwvTGKefbz4/cC2XwxedIuYMcvBI5XdELRnK1bkk7kOHyU5O\noCWTFY9jP7Eq4OPyKj7Fi9/hq3JEd+aArwdREM2R9J2doGmose3b29YqTZ+AWxXwqNscFlLLGmQA\nV3Ey1AxyR/2PZlWjEeS2EDOZBTo8YRw1NoJ+I0UJ0NoMjq5OctEIhrb9QTP1QOkQnhevLBBP5nj0\ndA8rOdMtqMMT3vZ77caKEMwk0HPQrPwlbtzc0WsbgeUR04bOd2ho36Zf3okzw2HSohPN4UJtQitC\n7YZpPzf0yANVOX7/Q6btYe5a41Vf78bsucvIhkaqZwhJrHyKcqIwkMfyA8cwSI001uegxmKIHg9z\nepyeGs95ABySQre3k6m1WeQGGklvJ+CFCviU03RIqcUpjBvpD/SS0bKkgvWt0dSzWbR4HCEUJJ3P\n1Lz8BKDTE8YhOQor8e6GWYmXUhzC0xrkn1+aQhQE3n6ml0jKrJrsrAJufqY7GUlvceT4AGuSm9TY\n6I5fW+8kbt4kJ8gcPl1Z/bHF6cPtSJLIsrPVXGTm81WJoxpkkmmCSzMse0KEDlSnIb/rUB+rDj8t\n0Uk0tXnOPcDcS6b+O3DinqocP+h30h3ycG1qBeewuRORaqCGWEPXUWNRjDZzZ62nRidgbmTA34uq\nqyRbTUeaes17SrET8GgEJIlRlgk4/DW/FQPrMoh5j3ljrlcJirX7kCn8QdX67gOYI9b7/QeYT0YQ\nOgouEQv1fyMoJTM5AcCi7GcqkuDssTDtLW4i6RgOyUGLY/t+sT6Hub25UwkKwKmDbcy52pGSa6gF\nV5ZmQM9mUZYjRJxB7j1anYejz61wrL+VWbyFRWa0KnFUg9HnX0cxNNSBnbtqlQtBEEj2HMSp55h4\nvfGaAO+ENnoNHYGDD1dW/13K8YEgWVVj1tmO6HI1VAKurcYxVJVMi/ncrfUGTAtr93nBY+4412ve\nU0rTJ+C5aAQ5FGIxt1IXCSCsX4jj8ipIUt0mgOsTSM0t9ro5//5eDAxWA2bjqzpf/zeCUlIXLwDw\n/TXTv/SdD/SjGzqRVIxOd/uOHTl6vF0sZpbJ5Hc2Vr6n3Us8YCag6dHmqYKv3BxDNAxSoZ59mX55\nc2Wc52ZfuuvPnRnuYNHRAtBUEzEXXzMrsG0VGj+/Fb57zArwQmEiZDOQSaRoXZljyRumvbPt7i/Y\nJ44PmMe+Mr2K+9hx1MhCUTdd76hRc8d21Wc+d7vrYOcZ1idijisJc0qvLUGpb7RUCj2RIN9mVvTq\nJQHsLTQkTCRmcYQ7yM3P1+VIdKsB1qrk18v5tzqy5zymtV69LoA2Q1dzpK5eQezo4sVZlcO9LRzs\nCRDPrqLq6o703xZWhWU+tbOFiiAIeA8fMl97sbE0mHdi4lWz2uY7VH73i0w+wxcufJmvXP06sfTS\nHX/2/qNhlqwEvAG2e7eLY/I6qiBxqIoVWICDD5v+48botarGUUluPvcaEgbawOGqxnFsoBVBgCvj\nS3gLUphG8WW3PMCtvrfuOpGg9Pi6kQSJ8cwccltbQ7gzNXUCblVgE36zylQvCaDVkDCdmEHu7ERP\npdAStTvFaiusisKUksQtuwk6K+v2sFv6A6YEaMyxVliJN04FPH3tGkYux3SL+Tv++APmvwu70H9b\ndPusRsydn6f++08AzdWImSgM/hh8Q/k1sN+Z/AFrqumrfjF25Y4/2+J14O83F5uJqemyx1KLRCdm\nCaaWWG7rxel2VTWWYGeIJW87rSuzZFObT3FuNJZeMV1f2u+v7u6D16Uw0Onn5uwq8lHzHpS6fLGq\nMZUL67k7raQJOltxy9W9zreLIsr0+LqYScyhdHahxVfQM+lqh7UnmjsBL1Rglwqy73powLQY8Peh\n6nnUkFm9r0c7PGsBNCavcsDXVdFhI3sh7A7hll2Mp6yVeONUBy35ybOZIO0tLu4/Yla8Iylz23I3\nFfD1RsydX6PHhw+wrPhRojN1ucuzU9Rcjpa5UdYcPvpPlLcCvpKN893Jp/Ap5lTNC7G7a4uH7z2E\nhkh8ojkS8NEfPAeAcs+9VY7EJNd3GNnQGX3+XLVD2Xd0XcczOUJWdHD4keruPgAcHwyi6QZjWQdy\nKETqyhWMBhiMVPQAd2Vq3v97I/3+XvJ6nlybKY/M1bn8s7kT8Oj6EBhZkOjcRXJRLSwd+JLf/Ajr\nUQ+lRiLg85JThLrZfQBTGtHv7yWSjiF1dKCtrKBnMtUOqywkL11AlxXGlDA/dqYXUTQXRZH0Hirg\nRS/wnd8s3U6ZRFs3znyW5YmZHb++3rjxzGu49Byp/mHEMluw/f3ot8npKv/60Lvo8/VwfWWUdP7O\n1+2Z410sK36ExUhDJB93Q710HoCDb3lTlSMxCZ42B1AtvX6+ypHsP9OXruPPJVjpGkKpgcFyJywd\n+MQK3ntOoqeSZMbHqxtUGVCjURAE1jxS3TRgWljyz5UGGUnf1Am4pUEeV1bp9nYiiZX3290t1oU4\na+mQ66wCbmga6tIiatDcfjhQ4xNINzJQkKFkgmY1sd5vBADq4iK52VkiLQfQRIkHjq9rA4sV8B1M\nwbRwyy6CztYde4EXX1/wA7/5XOMPJYm9+DIAoQfL6z89m5jnubmX6PZ28saus5xsP4FmaFxZurO+\nuC3gYrWtB0c+y+LlkbLGVGsk4wnalqZY8rYTHqiN3dBDb7ofVZBxjl5u+B2g6adfAMBz731VjsTk\ncG8LsiRweXwJT0EH3ggyFDUWQwt40SWhbvTfFlbhsdh/Vee7z02dgKvRCAgCix5z0lI90ePrQhYk\nbihxoP4SwPzSEmgaa5b+vsYnkG7E6siu5x2IjSQvmfKTC2IHB3sCBP3O4vciqSg+xYtH8ezqvbt9\nncRzqyTVnWtZBx81q5HZc6/t6tj1gq7reCaukhUVjjzyhrK+9/9z8x8wMHjvoZ9AEiVOtZv+xnfT\ngQO47zObAae+/0xZY6o1rv/gBWRDRzt8otqhFPH4PCx2DBHIxJm5dL3a4ewrwrVL6AgceWtt7D44\nFYnDB1qYjCTQBw6DINS9HaGu5sivLJMKmLrvepOgdHs7kUWZUYfZ81bvVoRNn4DrAS+aJNTFEJhS\nZFHmgK+HsXwM0e2uOw14riD/WfTodTGCfiNWAj7rzgH1qcHfiKX/vunu4czRdTlWXs+zmFnelf7b\nomcPA3l6jgyw5G0nFJsgsRTfdQy1ztTF6/hza6x0HUJxlm8LfmTpBpcWr3K09RD3hI4B0Oc/QIvD\nz6XFq+jGnaUlx9/2IBlRQbh6rqGrsGuvmQu87ocfrHIkt+J5w1kAJht4AbQ8H6NtbYHFlm4C7bXT\njH/cmoq5kMM5MEj65o26bvzLLy6CYbDsFRAQ6PJUZ9DUbjHznm5usIQgy3Vf+GraBFxXc+SXl0m3\nmBW9equAAwwEetHQMcIhcpGFutJoruvvM4TdIZxS9TV/O6HN1YpP8XJDWQXqTwK0ESOfJ3XlMkl3\nCyuOAG8oScAX00vohr4r/bdFzx4aMQG0Y6eR0Ln67R/uOoZaZ/qHzwPgva98W/C6ofPNm38PwPsO\nv6fY6CwKIifbj5NQk4yvTt7xPTraA8yHhvBk1li+dqNssdUSWl4jMHudpOJh8P7aqYADHHv7w+QF\nEXnkQrVD2Tdufv95BEA4drLaodzC2WHzPvjClQXTjlDTSI3UrxTLasCMuHJ0eNpRJKXKEe2cAb+Z\n99DeVrcWzBZNm4Cr0RgYBis+8xTUmwQC1quwqVZ33Y1EtxxoIh6trhowLQRBoD/Qy6S8Bg2wEk+P\n3kRPp7nm7KI37KWzbV1qEkmb11Wne/cVcEtruBsrQoDBH/0RADKvv7LrGGod8folNASOlnEL/pWF\nc0ytzXC2876iftLiVLuZaF7YhgzFedqUxEz8y9Nli62WuPnCOdxalkTf0bI3v+4VX6ufWHiI1vQS\ncyONOZAqfcF0eel/80NVjuRWukNeBjr9XBpbQjhs7h6lLtWvDtyyIIx5jLrbdbaw8p500IuRzaDF\n63dXtLbuNBXEqsDOu1VanS1Fa656wnqgLvrNqlY9NSRY5z/uk+oyAYdCI6wgYLQH634lbslPbrgP\n3FL9hr15gFt0eTsQEHZdAT8wPMiSJ0QoOkFieXXXcdQqsekFQokIS8FefG0tZXlPVVP51ug/IgsS\n//rgu277/nDwMIoob8uO8NiPvpGcIMOVxpShRF4wJ4O2vqG82vty4S4sgMYbcAGUS2cJRseIOwP0\nDA9VO5zbeOhEJ5pucCHnR3A661oHbiXgca9ET501YFrc5gBXR3nPRuRqB1AtrARwwaXuOQFMZlT+\n5rvXee1aDEEwq6OiAIIoIFr/LZj/bX4NREEg3OrmAz92hHCre1fH7fJ04BAVplwZegF1YR6o7gCD\n7aJGI+iKTMol0rPH8z8VSfBX377GwnKqcL4FRNE8x4IgIJacc+szkUSB04dDvOuhfqRdVrwsJ5Rk\nqxvffBQtHkdurR394k5IXryALkpMujv58PCtukDLASW8hwTcITlod7cxmzQXKrvxfNeO3Yv06vcY\n+c7TnHnsJ3YdSy1y83vPEgSkE+Xzn/7BzLMsZZZ5e9+jhNy3j/V2SA6Gg4e5uHiVWHqJ9k1+xqKz\no5XzbQMMLN4kPjpO66HaS5T2gmP0Cqogc+RHyus+Uy6Gf+zNzHz77xCvNp4d4fVnXsah51kePFZz\nuw8ADx7v4Ovfu8HzI4s8PnyM5PlzqEuLKG2haoe2YywJyqpP2vMIel03+N5rM+bugACSWHjWigJS\n4bl7y9cK//aEvLzpZBfiLud+dHk6UESFGU+OHiC3sIDn2PE9/S7VonkT8IIEIu6XuG8PCeCF0UW+\n9A9XWEnkaAs48ThldMO8OA3DQDcMdB10wyCv6egG5td1g5lYkpGpZR5/5zBvvGfnfwySKNHrP8DY\n4g3eRP3okA3DIBeJkm5xgSDQu8vzr+k6//D8JN96egxNNwi3ujAK5zevma4S5mdgfh56yeeh6To3\nZuKcv7nIv/vJewi17HwaWJ//AAAxH/gwV+L1mIDn4ytkJyeY9nYTbAvQG751NyhqJeC7sCAspcfb\nxbnYJdbUBAGHf8evH/zRHyH56vdIv/oyNFgCrl4yt+CHyiQ/Saop/nH8X/DIbt41+KNb/tzJ9hNc\nXLzKhdhl3tb35ju+p+Pe++F7Nxn77g+5v4ES8NmRcVozKyx0HuIe7+6KIftNINTCuVAfnYsTLNyc\npPNQf7VDKhtLL79KJ9D+4Nlqh7IpbQEXR/taGZlagZNH4fw5Upcv0fLmR6sd2o5Ro1E0WSLlEvbk\nAT4TS/KX/3CFm7O724187tI8v/ieE7c4bW0XSZTo8/cw7rjJA4BqV8DrD8sDfGWXEoh0Ns9X/+U6\nT52bQxIF3vfoQX7ijduvphqGwbMX5/nKt6/xF//vZS6OLfGz7ziK27mzj2Qg0MsP/WNA/VjhaWtr\nGNkMy11+XJKTNtf/3957h8dVnXvb956mMhr13nu1XLDl3rCBg2kBQg8kQEi+84aLE0IKOeQNIQcI\nkIQkHMLH4TqBEGJiB7Ax2IBjg3vFtrCNu4olq/c6o9GUvd8/RpItW5JVRtoz8rqTC8TM7Jmln5a2\nnvWsZ/2ekBG/R1WjmTc3nKCstoPgAAMPrshhatrwMxJmq52/fXaKg6cbePqtL3lwRTYF2SM7ER7s\nE0SQIZAK33aS8d6VuOW4a0u12DeWq7IiLslO13c1EuITjGGMB3ZijFEcaTxOdWctgaEjD8DjslPZ\n7x9KaGMZ5tYOjMEjfw9PxNzWSWjTOVr8w8hMib/8BcNgY9kXdDm6uC39xiGtI/PDc1h92mVHeLkA\nPGvZfJq2fYh8/DDwbbeM0xMo37mXMMB3imfvHhqmXgVbyzn7xU6i0r6l9nDcwoXdL7PneYb/90DM\nyY3idEUrp3TRJOCqA/e2AFxRFOyNDZhNenQaHRF+I8/gO5wyn+0rZ/2eMhxOhdk5kdx1dTo+Bi1O\n2ZVYlGXF9bVywdc9/3Y4ZT7dW86RkiaefnM/D92Qc0nJ43BINMWzz8vinoHwvP2eCcLeUI/dV4/N\noBlxBvZkeQtPv/klO47UEB8RwC+/M4ub5yePqJRBkiQW5MfwzEMFJEeb2HOsll//9QBna0a2okw0\nxePQSTgCjT0lKJ5Pb/lPvZ+T2ICYEZUjyLLCZ/vK+fVfv6SstoP5U6J59pE5Iwq+AYy+ev7PrVN4\naEU2Tlnm9XXHeOvTk1htjhG9T1JgQl8zJG9diZt76r9L/fvbDwJYHd20dre5pUts75bnaKwIe3Fk\nTUWnyJz+fPLUwvb6T9vd5D/d2NXMjso9hPmGsCR+wZCvDfYJIsEUN6yumNExodSGJGIyN9NWVuGW\nsXoC8qljKEDa0vlqD2VIMq9dhIwEJydPW/rKY73dL1M9ovvlYMzKjkSrkdhZ7UAXEoL55Amvch0D\nkM1m5K4umvwhyhg54saD5bUdPPu3g3y48yxGPz2PfTOff//GFEIDfTH66gn0NxAc4ENooC8RwX5E\nhfgTE2YkPiKAxCgTKTGBZMQH8x93TOX+6zKxOWT+vPZr/rbxFN0254jGkmiKx+qjwennIwJwb0OR\nZeyNDXSY9Og1umFvrXfbnby7+Qy/W/UVLR3d3DQ/macfnEVi1OgzcVEh/jz1wExWzE2kobWL3/z9\nEJ/uK0ce5kGn3jrkzmBfHC0tXtESvTcAbzWNbPFT02TmhZWHeH9bCf6+rhvAIzflYvQdXWZWkiQW\nTYvlVw8WkBRlYtfRGn799kHKaoe/CEo0xdNict3IvPFGoMgy5uPH6NT54wiNJCU2sN/zDV1NwNgO\nYPYyVitCgMSrXW4o5sKDYx6Pp9D+lavDZ+wC9zhArC/diENxcnPq9eg1l99Ryw/LGVZXTADdFFeW\nsnTL5LCDbG9sJay1mqbAaEJjxj7Hx5OQyFAaQ+IJ7ainsbxa7eG4hcrdPd0vp3lu9hsgwE9PXkoo\n5+rNkJaF3NlJ97mh7Ts9jd7671bjyMpP7A4nH2wr4dm/HaSivpNFU2N4/pE5zMgYXVJGkiSWXRXP\n09+ZRXxEANsPV/Prtw9QXtsx7PdICjzvAGdvaEBxjCxx5ilckQG4o8XVhbHRXybGGD2slWBxZRvP\nvPUlXxyqJCbMFTTfvjgVnXbsEuq0Gu5cms6P75lOgL+eD7aV8PLqw7R0dF/22gi/MHy1vjQYXatx\nW73nd4bqO4kdoB3WAUxZVtj05Tme+esBSqrbmZMbxXNjuAFcTEyYkacemMn1sxOpa7bw/DuH2Lj/\n3LAWQYmB8XT7aHB46UrcWlaGbO6k2D+WGVmRlxyMqe9zQBm71pH+4WgkzaitCAESctNo8QshrOEs\n5rbOMY9JbRx2O0HVxW7zny5vr+Bg3WESTXHMjBpeSUWvHeFwumJmLJuPEw3OrydHV9KibXvRoEBm\nntpDGRa6/BkAlHw+ORZAfd0vl8xVeyiXZW6uyzWkzM/VM8Tb2tJfeABzuAF4UWUrv3rrAJ/uKyc0\n0Icf3zOdh27IwX+USa8LiYsI4Jffmcl1BQnUNlt47p2DfLZ/eMnHSP8IfLQGGk0SyLJXWTBfyBUZ\ngPcewGwJuHwG1u5w8v7WYl549xD1LV382+wEfvVgAakXZQrdQW5yKP/18Gymp4dzsryFX731JYeL\nhp5YGklDoimOqp4yCG+w5Ok7ADuM+vu6Fgsv/aOQ1VuK8dFr+cGtU/j/bskjwM+9DQT0Og13LUvn\nibunYfTT897WYv74z8O0dg69CErq8STtDPbxypW4paf9/Fn/uEvKT+C8A4o7MuA6jY5I/whqzHVj\nsrKzZ/aUoXzh/WUoJft6/aezxuwAoSgKHxafb7qjkYb3fq6umIHD6ooZGx9BbXA8gR0NdFR5/r3m\ncliOHAYgYaHnB4AAGdcsQgHkE4fVHsqY8dTul4MxPSMcg17Djo4AAMxeZkfYP/E1dAButTl4d/MZ\nXlxZSF2zhWtmxvNf351NXvLgTkmjQa/Tcs/yDJ64axoBfnre3zq85KNG0pBgiqPGz3vinoG4IgNw\n2wUOKEN1wCyrbefXbx/ks/3nCA/y5clvXcXdyzIw6EdWOzUSTP4GHvtmPt+6NhOrzcl/rznKyk2n\nsdkHr5FKCkzoK4Ow13l+BtzWUI8sQYdx8JW4rCh8caiSX731JUWVbczMiuC5R+Ywa4QHJUfKlJQw\n/uvh2UxNC+N4mavW/3Dx4IugAIORMN8Q6o1yz0q8YVzH527Mx44iI1EfEk9mwqV/BOu7ejLgY2jC\ncyGxxiisTiut3aNvnpB4teuwoPmQ95eh1O9z+U+HFIzdAeJ40ymKWkuZEpZNZkj6sK+TJIkp4dl0\n2s2cbbv8tromz1UuUPL5jlGP1ROwd9sIriul3cdEXG6a2sMZFmGxETQGxRHWVkNzdb3awxkTJdv2\nIgEaD+t+ORi+Bh3T08M51wnExGMtLkLuvvwutafQz4JwiAz48bJmnn7TtdsfFerPz++/ivuuzcTX\nMH6eHVNSw/j1d88nH59+cz+HTg/9tzTRFE9zYI8XuBfuPsMVGoD3bwIz8ETcc6yG5/52iOpGM1df\nFcevH549YIAyHkiSxPKZ8Tz94Cziwo1sKazi2XcOUtkw8JZ7YmA8rYGuXw5vWAnaG+rpNOoINYbj\nq7vUhkhWFP685mve3XwGvVbDv38jjx/cOoVA48Qc0gk0GvjhHVO575oM1yLog6O8u+kMdsfAi6BE\nUzwNRldG11usIAGcnZ1YS0up8o0gNztuwHKqeksjWklLqK975n5fR8wx1IEn5KXT6htCaP1ZLO3e\nW4YiyzJ+ZSexaXRkLhxbAO6UnXxY8ikSEt9IG7lF4/mumJdvypO2bAEyEraj3l2GUrS7EB/ZTleS\nZ/pPD4ampw6/2MvLUPq6Xy7yjt0HgLm5rnihNjgBxeGgq8h72tL3ZsCtgb6D3s8/21fOy6sP09ze\nzY3zkvj1wwVkxE9M3BPYk3x8oOeA5msffs3bn50c9IBmkimeVpMr7vEWA4qL8Z67jhs5fwhw4BII\ns9XOqs+L8DFo+PE903nguqxxXf0NRq/DyrKr4qhqMPPCykLaBiiJSDLF0+GvQdZqsHl4Blzu7sbZ\n1kZrgDRo+cmBk/UcLm4kMyGY5x6Zw+ycqFE1bhkLkiRxzawEfvmdWcSGG/misJL/XT9wcJIUmEBL\n7wLIi24ElpMnQFF63E8u3VlQFIU6SwPhfmEjPjE/GL07HtWdo9dJkiRsmfnoFSenv9jjlnGpQdWp\nswR2t9MSmYrBb+R+uBeyr+YgteY65sUUXHZ7eSD6umI2Xb4OPD4pirrAWILbaumo9d4sbNMB1w5K\nuBt2HyaStOWuHSC7Fy+Auru6Cakvo80niLjsVLWHM2ympIZi9NXxpc0VlJqPe08Ziq2hHouvhsjg\n2AH/nja2dfHhzrMEBRj45Xdm8c0laeh147fbPxCSJHH1VfE8/WABCZEB7DhSwwvvHsLhvLQ0LjEw\nntYALQrelfi6kCszAK+vx66T8AkKHdAjd8OeMsxWBzfNT3Z7zdNIMei13H9dFvcsz6Cr28HaHaWX\nvCbUNwR/HyPtJh322hqPbhV9uRb0dofMmu0laDUSD9+YQ1DA2AKTsZIQGcDT35lFWlwgB083cLK8\n5ZLX9HNC8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VYqmJSXS1nofyXs2S8a9NPGvcdTnzHGxtvQAANXgKkLpmMXeWXta63W5uvfVW\nbrzxRk6cOMGHP/zhSXVbPp+PaHTxvGmWapqnuL0TzcT4967/4umB5wDY2bGdd294O4dGX6UrfBzF\nmZRMs1hyjKEmgfYYo1RWzwwTHTQySpJMNo/TUfnG2rNd7LRhDrUKuhvpjw+SJ0s0kaWxyr0aZ7t4\nMlfWK7u289DsLh9wIu8PtUjmpi9V2tp2Pj868lN60kcJeM/n4PExGRsv5sTSoLmzs5O1a9eW/h0M\nBjl06FDp8/F4nEAgMOMxmpq82KvoVGGlXDHeX7MqSFub/qZfKBR49NiT/PDlh4lnEqxtXMmtF/8+\nm9s2AJBxxuEVfZd6LJkrfV89que1nS0W2zl48uAQAGpgHGJwyfoLafPP/jOsirdDl74Rze520tZc\nX7X+9Xwewuk8OPQL+BWtLTWvtaOxjUOjr6I4Uyh2W939zPW2ntPZesZL5Rmr29toa6x+vWtiy+G4\nHjRnC/X3M9fbek5XKGiktRROYFlT0xnrbaOBTc2ddIWOc9F5l7L3tyPEcxrrVswcd9Sbej8PZxNL\ng+Z/+7d/48iRI+zatYuhoSFisRiXXXYZzzzzDJdccgl79uxh586dMx4jFEpYucSqDI3otVP5TI7h\n4SjdkV7+5dWf0hM9idvm4oZN7+SKlZdiw8bwsJ5Bt6X1iYBOX4qB4Xjp4/Wmra2hbtd2tliM5+DF\nI6cAjcFUL0FXI0rCxXBy9p9BSeslToojzfHeMdR8/bRjrPfzcLI/XMo0F5JqzWt1a3qLLsWZ4nhv\niICrPpITUP/nAKD/VLR0HtIxjeEaSo3sGf39QXElOTkUraufeTGcg3gqCzb9HGhp25TrPb/pPF4b\nO4ErOAwoPLG/F79j8TQOWwznYamZ6SLF0qD5hhtu4NOf/jQ333wzqqryhS98gWAwyN133002m2XD\nhg1ce+21Vi7BVJFieYbdkeWHr/6cvX2/QUNj+7KLuH7jO0p1muUCzga94bo7xVgkJbeGxJJRGmrS\nnCWei3Nx87aK/7ZLA06kV3PVYpM2oM2hPKO8nlZ6NVctnpyoaa51yMykqYBSvle1eAXPhW2tF/Bw\n188Zt/cAazlwbIzr3jD9xFIhZmJp0OxwOPjKV75yxscffPBBKx/WMpF4BmfzCF/c/zVi2TjLve28\n99x3c07Txmm/R1VUmt1BRnNRsrkC0WRWWt6IJWEsovf4XX9hggEqazVnCLhkKmCtYsks2E3YCOgu\nH6Ut56AZDDXTAAAgAElEQVRa8VQOxZ7FqbqwqbVl6Y0hMzZXilBILlyqZQw2Ac7o02xY5mtnubed\no+GjrF52Lq+dHCedyeNy1s+dFbF4LJ57FHUgkshgX/MKqVyKd294O5++5P+bMWA2tLibyatpUHOM\nSTZBLBFd/fowE1sgBFS+CRD0zJyKTTLNNdCHOdTeH9hQmgoomeaaGOdhLufAYXPQ4PCjuqV7Ri0q\n3RS7te0CsoUsyzrj5PIar/aG5muJYomRoLlCmqYRTaTRHElW+lfwlrVXlebcz6bF0wzodWujYQma\nxdJgTAKMMIjX7qHDt6zi71UUBb/DD440kXjWqiUuSbFkFsWhZzgrfQ2aSrAsaJYxztWLFcsz5pLt\nh2KJhiNFJJEhly+YtLqzQ6W9si8qTgfM+QYAOHBMWs+J2kjQXKFkOk+OLCgFAi5/Vd/b6jaC5gSj\n0qtZLBFdfRFsrhSRXJgNwU5UpbqXE32UdprxhDwnqhEvZtdqraM1uO1uPHa3PhVQMs1Vi6VTKGqB\nBufczkOTO4im5MGelWxzlYzyDAUVt8017detblhJ0NVIb6oLl0NGaovaSdBcoUgig+LQX9AaHNW1\nfynPNEt5hlgKsrkCPUNR2lbpf88bKhxqUq7JHUBRNcYTMbOXt6RFizXNp09Aq0XQ1YjiTEtNcw3i\nmTgwt82YAM2lDZlJQnLxUhXjAtJt88y4CVlVVLa2XkAil2TN+gyDYwlGwsl5XKlYKiRorlAkPhE0\nG5uYKtXibgJAdcmAE7E0jMfS5Asa9mI9czWbAA2Nbr3bTESmAlYlmkqiqBoNzurueE0l6GoEW5Zo\nMiGlAVVK5PSgay41zXBaBw3JNFclltJLlbx2z6xfu61Nnw7obBsG4KBkm0UNJGiuUDSRKU1/Mtpl\nVcrINKtuyTSLpSGS0J8LSccpnKqD1Q0rqz5GY/F5FMtK0FwNI8PpNyHTbGwGxJmSDZlVKGgaqYI+\nQ8CUmmb0O5ESNFcnlsyArbK68k3B9XjsHka0E4AmJRqiJhI0VyiSyIKRaa4yaPbZvbhtLuyelNQ0\niyUhEs+APUOCEJ2Na2vakFYapU2CbE6ynJWKzzA2uFpBd3mvZgmaK5VM58A2+wa0SjS5JNNcq2g6\ngaJQUamSTbVxYct5RLIRmtpTHDoRIl+Q1x1RHQmaKzSpPKPKoFlRFFo8zWiOBJF4mmyufqafCVGL\nSDyD6h8HYGNjZ03HMIYBKY4M0YQEbJXQxwbrZQFzzXDC5LZzErBVLl7WK3vu5RnS+q9WseJdlwZX\nZc+Fi4olGs2rx0mmcxzvl7tcojoSNFcoMofyDNA7aGiqvtN3TN6cxCIXSWRRG/TbmxuD62s6Rmkq\noDNFWEoDKlLeo9mMoDkovZprYgw2gblvBAw4G7ApNlRXUt4bqhTLVVcic17LuThUOwnXSQAOHB+1\nbG1iaZKguULRskxzLRtwJjpoJKRXs1j0IvEMtoYQKirrGtfUdIzSxacjLUFzhWLlo5vNqGl2yyjt\nWlTaH7gSqqISdDWiutLScq5KqSo3Y7psTjY3n8N4bhSbOyGbAUXVJGiuUCSRRXGkcapO3Pbp+0FO\np6XYq1k6aIilYDyeQPFGWOFbgdNW21j4UqZZpgJWLJ7Mle54mZtpTkvQXIVYyrzyDCiWaNhTjMeS\nFDRtzsc7G+ibMavvYLKtVS/RaO0c59hARK9PF6JCEjRXKJrIoDozVbebM7R49LZzeq9meXMSi1so\nFUZRNVb422s+hk214Va9KI6MBM0VKh8b7DchWPPY3bhsLhRnUjYCViGenCjPMKe2vAkUyNuSxBIy\nIbMSqXS+pnHyW1rPR0FBaxhE02BwLGHVEsUSJEFzhcLxNNgzNdUzw0SmWZ8KKJlmsbhFM/pAEmMz\nX60aHH7JNFchNqksYO7BGuibAVXJNFfFqC23Kfaa77SUa5ZezVWLp8pKlap4LvidPjYG1xFVToEj\nRf9I3KoliiVIguYK5PIFErkEKFrtQbNMBRRLSDynB8213nkxNLoCKPYc4wnJ9lQiVta1oZKBDpVo\ncgfBniUUk+ChUkZtucdm1jkolsm4UjIVsEL6hUttdeXb2i4EwBY8JZlmURUJmisQTWTn1DkD9A0I\nDQ4/Nrf0ahaLWy5fII1eSxhwzG0qXbNHz1SHUpE5r+tsYAQKbtWDTbWZckyjrjmpxclkpR1mJYzy\nDDPqmaG8V7MMOKlUealStedha+v5ANiaTkmmWVRFguYK6NMAjR7NtQcJLZ5mcCYYiyTRZLOHWKSi\nxU2xMPdMc7CYYZNR2pWJJ/ULeK/dnGANTms7J2UyFYml0ij2nClTGUFGadcinsxNlGdU+Xxo8TSz\nyr8CW2CU/jG5YBeVk6C5AnMZbFKuxd0EikZOTRBNymYPsTiZ9Xwo//54ToLmSkSTGbBnTQvW4LTh\nGhKwVcSo6Q+YdB5KNc0uOQeVMu66OBRnTXdd1jd2gqoxmh4hl5fJgKIyEjRXIFKeaZ5DZk3qmsVS\nMNdBP+WM709rSXnjqkAklUBRNAIVTkCrRNAoDXBIr+ZKxbPFVmcmBc0euwd3sYuJ1DRXJl4sz6i1\nrrzDtwwAzRXlVChp5tJEhWLJLA/892GGxxfP71+C5gpE4lkwIUhodcuAE7H4GZlmFRueOW5GK43S\ndqaJSqutWZXGBs+hTOx0pVHarpS0natQ0phEZ2KZTJM7iOpMS3lGheIpvTyj1lKlDp/eLlPxxBgY\nlbrmhfDLZ3t4/IV+fv1C/0IvpWISNFdgck2zOZlm2QwoFqtIPAOONB6bF0VR5nQsY4+AtJ2rTCJf\n3djgSkyqaZaAbVaappHKVz9UYzalLiZxCeAqEU0mUdRCzdn+Dt9yAFRPjP5R6aAx37K5AnuKwXL3\n4OKpK5eguQLlNZz+uWwEdEt5hlj8wok0iiNDg2NupRkAAWcx0yyjtCuSLAbNZgZrHrsbp+qU8owK\nJdN5tFLXBvMuXpqLZTIpLUYqI1PqZhMp3nWpta7c7/Ths/tQPDEGJdM875579RSR4t3F7qHYommO\nUFHQHIvFOHz4MEeOHCF+Fl4FRxLGjnUPDtVe83Ga3UEUlGKmWYJmsTiF4nEUtUDjHDtnALjtLuw4\nJNNcgXQ2T14pXrybGKwpikKTu7FYniFB82zm0h94JqUOGi5pO1eJqBE0z6G+f4V/Oao7SZ900Jh3\nu/efRPVE8b/uCRL2wUUTE80YAe7du5fvfOc7vPLKK7S3t+NwOBgaGmLz5s3ccsstXHbZZfO1zgUV\nSWRQgmkCzqY5Hcem2gi6GhnLJBkbWhx/IEKcbjwVAR80eeY2DdDgtfvIOhJEEhI0zyReNg3QzO4Z\noPcJHrIPMxaX29Sz0SfRmZ9pnujVrJfJdLSYe46XmkSxrnwumzFX+Jfx2ngXQ/FTFDQNdY7lZqIy\n3YNRuvoitG/rJ+qIY2sepHswRmujOcOCrDRt0PzpT3+aYDDIpz71KTZv3jzpc4cPH+YnP/kJ//Ef\n/8EXv/hFyxe50CKJFIo9O+dOAQCtnmZCqWOMROXNSSxOkazeHi7oNidoDjgaCDvGCcflQnIm5dMA\nzQzWYKJfdjgtGbfZGINNwNxM86RR2pLxn1UqN/e6cqODRs4RYTyapjngNmVtYmaP7T8J9jRxVw8A\nqi9M91CEi89tW+CVzW7aoPm2225jxYoVU35u8+bN3H333fT3L54dj7XSNI1oJoqDuQ9yAL2u+TXl\nGLFchGwuj8NuzlQvIeZLPGvUEs79+QB6wHYy2ctYXAK2mRiDTQD8JgZrMNFBI6vESaZzeFy1l6Et\ndeXlGWaeBynPqJymaaS1JHbm1sFkuVcPmhVPjP7RuATN8yCWzPKbQ0M0rhkiQ14vWfVGOT44vtBL\nq8i0Nc0rVqwgGo0SCoVKH3vuuecYHx+f9DVLXTKdJ28zZ5ADQItHL/FQXAnG5IVRLDIFTSOt6XdJ\nzAqam70ySrsSsVSuLFgzOdNc3kFDspwzihcz/goKbrt5QVZj2TmQoHlmqUwezWZk+2t/LnT49aBZ\n9cYYGJG7v/PhyZcGyOZyqG3duGxOti97HYqq0R3uXxSbAacNmg8fPsx1113HSy+9VPrY448/zjvf\n+U6OHDkyL4urB2a1mzOUOmg4k9KreZ7EU1n+5bHXFlUD9XoVS2bR7PrfrVm9go0sZzQrUwFnErMo\nWIPJY5yl7dzMjIsXl+pGVcxrQOVQ7TQ4/BI0V0DP9hulSrVnmv2OiQ4aA2MSNFutoGn86vmTOFuH\nSWlxdnZs59ymDQAkbaOL4u9+2mf8F77wBb785S9z5ZVXlj52xx138Fd/9Vfcd99987K4ehAxO2ie\n1KtZgub58MNHX+OXz/byq/19C72URS8aN28aoMEoe0rkz77OPNWIFSeguVWPqcEanJ5plg2ZMzEm\n0dU6VGMmze4mFGeSsai8N8wkntQHm8Dc68pX+JajupL0jS6O8oDF7MCxUYbHUzR2DgBwxco3sjaw\nGijWNQ/Wf+Jk2lfecDjMpZdeesbHr7zySkZHRy1dVD2JxCfqCM3IrLVOGqVd/1dVi93B42M8dWAQ\ngOMDcvt/rsp7lpsVNDcWezWntQT5gozSno5e01z7BLSZNEl5RsViyQzYs6ZvxoRiW1JVI5SU16qZ\nxExs+7eiQR9yMhA/Ned1iZnt3t+H4okSUwfZ3LSJ5b52lnnbsCuO4mbARRw0Z7PZKetLCoUC+Xze\n0kXVE7MzzQFnAzbFhupKSKbZYulsngd+cRhVUWjwOjgxFKVQqP+aqXoWTuiZZhsO3HaXKcc0Ms2K\nI01MRmlPK5ZMgy1rers5AI/dg0NxSOeGCkTTCRQFGiw4D0aZTCwXJZeXC8jpGNl+BRWXbW6vQ0YH\njaQyrpdACUucGk/yctcozev1LPOVq94I6K14V/lXoHhiHBsMzXSIujBt0Lx9+3a+8Y1vnPHxb33r\nW2e0oFvKouWZNRO6Z6iKqt+Ck6mAlnv4yeMMj6d4y45VrNuYIZ3NSN3aHOl3XtJ4beZlO42LUZkK\nOLNwKl4M1sypJS+nKAqNrkapaa6AGUM1pmMEzTiTMuxnBvGUXp7hVj0oc+ytbATN+mRAeX+wyuP7\n+9BsWdK+HlrcTVzYel7pc+uDa1AU6I6cXMAVVmbavkJ33HEHH/rQh3j44YfZunUrmqZx8OBBGhoa\n+Na3vjWfa1xQkUQGHPrmG7N2rLd6mhlOjjASjZlyPHGm7sEov3yml9ZGN03r+9lz7BfYl53LiYEL\nWdkqQwNqFYmnwJHB7zCvn6bP4UVBBUdaBpzMIFps9dfotubvt9kdZCQ1QigmG2ZnEs8aQzUsqGku\nG3ASkr7B0zIG/bhtjXM+lhE0q8W2cxtXzf2YYrJ0Ns8TL/XjWzFAnhyXr7x00r6MtQ2rAEioo4zH\n0gT95tzFtMK0QbPf7+cHP/gBe/fu5ZVXXkFVVW644Qbe8IY3zPnKbjGJJLIozjR+h8+0zTfGZsBQ\nJoSmaWfV73M+5AsF/um/D1PQNN795mX8+MR3AVAbxjg+EOGyLR0LvMLFazQRRXFrpozQNqiKilvx\nEnfKKO2ZGMGa32F+phmgqTjgJJSWDVEzSeb1iwq/3bpMsyq9mmcUS+mlSmYMl/E5vHhtPmKeKAOj\nshnZCs8cGiKeytLccZKcaufSFTsmfX5NQA+aVX+YE4NRLtpYv0HztFHgnj17UFWVyy+/nI985CN8\n6EMfYufOnZMCvF//+tfzssiFZGx8MqM0w9BabDuXt8WJSg2V6R597iTdg1F2XrCMZ2OPki1k9Tpy\nf5hjshlwTsaLvZTNGqFt8Nn9enmGdG6YVipvBM3mZzhhImCLZiOLol/qQtA0jXShOInOgkxzees/\nCZqnF0nqdeVmPRdW+JejulL0jYZNOZ6YoGkaj+0/iS04TJIIO5a97oy79m2eVpyKC9UXpqfOO2hM\nGzQfO3aMD33oQ/zkJz+hu7ubdDpNLpejp6eHH//4x7z//e+nq6trPte6ICLJBIotb1qnAJjcdk7q\nms01PJ7kp08cw+9xsOHCcY6Md7Gl9Ty2tV2A4shwcvyUbLCZg0hGLylqNjloDrgaUNQCoYSULE2l\nUB6sWdC1ASbazhXsKb1mVJwhnc1TUK0ZZQ5632CbYpMNmbMwXocCLnPuuqwqdtDojw+Zcjwxoas/\nQs9QjKZ1eherK1ZddsbXKIrCmoZVqO4EXUP13Z1t2qD5Ax/4APfeey+9vb38+Z//OTt27GDHjh38\n2Z/9GX19fXz5y1/mlltumfUBRkdHueqqqzh+/Dg9PT3cfPPN/OEf/iH33HOPqT+IVSIZ/arH1KDZ\nrU8FVF0y4MRMmqbx4C9eJZMt8K6rlvNfPb/AbXPzvnOvZ13jWv1rvCFODktgVqtErvhmZeLzAaDJ\nrQfhownJ9EwlkcpBcZiDFd0zoLztXFI2A07D6JUN4LOg9Z+qqDQ6ZUPmbGKZ4lRStzlBs1HXHMmN\nksmePd3B5sPu/SdRXHHijn42NHayumHqSdLrm9YA0B3pnc/lVW3ammaA9vZ2Pv7xj/Pxj3+8poPn\ncjl27dqF261vZrjvvvv4xCc+wfbt29m1axePPvoo11xzTU3Hng+5fIFUIYELk4PmUqY5waj0ajbN\n04eGOHB8jAvWNXGEJ0nlU9x87u8RdDWyLqA/IVXfOCcGonQuNzdTejbQNI1kIYEN84PmFq8esIUz\nUj4zlXgqWxrmYPYIbcPEgJM0oViaVe3W1E4vZvFkzrT+wNNp8QQZS48xJp0cppUwuVSpw6dnmvHE\nGAolWS1/+6aIxDM8d/gUgQ39ZJhoMzeVic2AI4TjGRp9znlaZXXMHSt1mi9+8Yv8/u//Pu3t7Wia\nxqFDh9i+fTsAV1xxBfv27bPy4ecsmsiCie3mDD67F6fqlPIME0UTGX746Gs4HSqv25HlwOgrnBPc\nwBtXXALAqoaVpbpmGXJSm2Q6T8Gm/72a+XwAaPYYo7TlLsBUYsmJIUtWlWfIKO3ZlV+8WHUemot3\nIsdSctdlOqm8uaVKHb52QO+gIZsBzbPnxX5yWpZCsJdGZwMXtW2Z9msnJgNG6noyoGVB80MPPURL\nSwuXXXZZaVNJoWzal8/nIxqt318M6IGY2SODQa/faXY3o7iSjESkvZMZfrT7KLFklusu6+AXfT/H\noTq4efMNpY2rDtWuN1D3Rjg2KN0BahE1edBPuUBxKmAyL0HzVIwWW2DdRkCv3YNdsctUwBnEU7nS\ne4LVGzIj2bBsyJyCpmlkCvrFu1nZfq/Di9fmR/HE6B+RoNkM+UKBXz3fh2vZIDky/M7KndhU27Rf\nH3Q14lG9KL4w3YP1m9iasTxjLh566CEURWHv3r28+uqrfPKTnyQUmpj2Eo/HCQRmv0Xe1OTFbp/+\nF22l3rFkKUhY076MtjbzAoVVwXYGE4OMp2KmHncu6mUd1XrhyCmeOjDIxlWNxFpeJNYb548vuoHz\n13ZO+rrzl2+kO9rLYHKAhkYPbqdlf/41q+dzcCo6cRG5bkUHTpvDtGOvVZfBy5AmSUuLH1Vd2DaM\n9XYelO5xFHsGFRurlrda1qYy6A4ynImQymsL/jtY6MefinJ0FMWexam6WL4saMljrIkshxOQtyXw\n+N00eBfuNnU9noNUOkfBlsEGrGprNW2Nqxs7eDX/GsOxeN393PW2nkrse7mfUDRFy3l9pFUb79ry\nZoKemX+ODS2dHBg+RO94iLa2rfO00urMGjVEIhG++tWv0tvby1//9V/z1a9+lTvvvHPWgPd73/te\n6d9//Md/zD333MOXvvQlnn32WXbs2MGePXvYuXPnrAsMhRaurutkf7gUNBcSKsPD5mXGG2z67+9U\nfNTU49aqra2hLtZRrXQ2z9/86HlUReENb4CHep+jM7CGHU3bz/h5ljuKdWvecfYfHGDTKmve9GpV\n7+egp28cxZHGgYvwWAowr7SokCpeGNtTHO8dI7DAgUK9nYeBU1GwZ3CrHkZGrMvGNzoCjDhG6B8O\nL+jvoB7PAcDQcBTFnsGlui1bnz2r7wFSnCleOz66YPW19XoOxiKp0mbMbByGMWeNHd52Xh17jWOj\nJ+vq567X8zCbn/7qKGrDGAlCbG+7iGxMZTg288+xxreCA8OHODpynOHh18/TSs8000XKrOUZn/nM\nZzjnnHMYHh7G6/USCAT43//7f9e0kE9+8pP8zd/8De973/vI5XJce+21NR1nvoTj1t2Obin2ak4W\nImRzslu3Vv9RHJV99Y5lPDb0c2yKjT/YfMOUg2g6ix00VP84xwcW34vQQosUyzM8NvNrORvKRmnL\ngJMzxYrlGV4LOjaUa/HqF5JjSSlhmko8qY9vtvI8NBu15TLgZEqxslIlM+vKVxQ3A45lRigUpCxm\nLvpH4rzSHSK4bgCAq6ZoMzcVo645po4QrdPpsLNmmnt7e7n//vv513/9V5xOJ3feeSe/+7u/W9WD\nPPDAA6V/P/jgg9WvcoEYNc02xYbH7jH12K3lvZqjaZY1WftmuBR1D0b5RXFUdn75QcKDEd6x7q2s\n8C+f8utb3E347D6i/nFOyGbAqo3HkiiOLA0WTKRzqHYcuCg404TjGVaZN6V7SYgmUyiOnGUdGwxN\nxTHO4YxsQptKJJVEcRcsq2eG8tZ/Uls+lXhyYjOm18T35Q6/3nZOc0UZCSdpl/fkmv1qfx+KM0nK\n3ceahpV0FrtXzWbSZsChKBeua7FymTWZNdOsqiqxWKxUQ9fb24uqWtp0o25EEhlwpPHb/abXEBqZ\nZsWVkF7NNSgflf3mK908PfgsK3zLecvaq6b9HkVRWNe4BtWVouuUNLGv1liy2LPc5M4ZBo/ql0zz\nNCJpvSSjwWntrXqj7Vw8H5Ns2xQiqeJ5MGmoxlTcdjcu1YXiTEl3pSnEUzkUewY7zhk3llVruVcP\nmvUOGtLur1bJdI69BwbwrepHQ+OKVZdVHD81OP34bAFUX7huE1uzRr+33XYbf/RHf0R/fz+33347\n733ve7n99tvnY20LzrgdbUWQUD4VcFReGKtmjMq+5IIWnhr/JQoKf3jejdjVmW+eGENORvNDJFIy\nwrwaIYtGaBv8Dj+KPUcoJm9Yp4um9R39QZOGOUynyT2R5YzU6e3RhRTL6Oeh0eLz0OgMoriSkmme\nQiyll2e4bebe/fU6PHhVvYOGBM21e/rgIKlsBrW1F5/Dy/b2bVV9/9qGVSiODEfrNLE1a9C8YsUK\n/v7v/57Pf/7zvOMd7+Df//3fefOb3zwfa1tw4UQcRdUIus0PElw2Jx6bt9irWV4YqzFSNiq7ccNx\nRlJjvHnNFaVbOzOZNOSkjntB1qNoWv99GYNIzNZYbDs3EpfSgNPFsnqwZmWGEyDoKuvVLAHbGcwe\nqjGdFk8QxZZnJCYtGE8XS2TAnsVjM/8cLPO2o7pS9I6GZv9icQZN03hsfx+O1kGypLhsxRtwVNll\naVOzntjqidbnZMBZg+bbb7+dlpYWrrnmGt761rfS3t4+H+uqC5GsMULbmjeqZlcTijPJSESuaqux\n79AQmWyBqy7zsndwH+2eVv7XurdW9L1rA/rUIX0zYH3e/qlX8WIP5UaXNZnmpmI7opAMdThDshSs\nWTNQwzCpnjYqmebTJUweqjGdVq9+J3IsKcHb6aKpFIpawOcwN9MMsKaxA4C+yKDpxz4bvNozTv9I\nDP+aPhQULl85e4e0060pvkfHlBFiyfq7GzzrRsCNGzfyzW9+k23btuFyuUoff/3rF64dyHzQNI14\nNo4d8ztnGNp9LfQl+hiOyQtjNU6FEqAUeCmzGw2NmzffUHHPYLfdzTLPMgbzIxwfkOCsGsl8AgXr\nLiJbfcYmNLkDcLpUIYWK9RlOn8OLDRsFyTSfwRiqYcO6EdqGZtfEgBMxWTgVAzc0OM2/cFnZoG8i\nH0kPo2maZf3Ql6qDJ8ZQ/eOkbGNsa7uwNN2yGmuK47RVX5ieoSjndzabvcw5mTVoHh0dZc+ePezZ\ns6f0MUVR+P73v2/pwhZaKpOnYNOzClYFzW1efWfoaEqC5moMj6dwrOhiODXM5SsvZVPT+qq+f0Nw\nLUPJIY6F+oDq6q3OVplsnryatPQi0mh3FpdR2pNkcwXyih40+ywIFMopioLfEWDcEZd2Z6fJ5AoU\n1PS8BM3BYm15mjiZbB6nY2EGfNWjWDYBbghYUKrUUWw7l3WEiSSyNPoWrl/8YjQSTmFr7wHgqlVv\nrOkYXoeHgK2JsC/CiYHI4guaf/CDH8zHOuqO3jnD/BHa5VqLHTSiubBc1VZhKDmEfd0xmlxB3rXh\nuqq/f13jGp4aeIYopwjHM/LCWIH5eD4Yx00WZIxtudikEdrWBs0AQWcj4WyIMdmQOUl8Hs+DkaFT\nXClCMWlJWs7KzZgdPr38VHHHGRiJy3tDlYaiY9iWDdLhXcam4Iaaj9MZWM1LoZc4MtzP2+k0b4Em\nmDVo/uAHPzhlMPfd737XkgXVi0j5YBOLWmwZHTQKjjjRZHZBp6AtFtlcnrirB4ei8Z6Nb8djd1d9\nDKNnpFHXfNHGVrOXueRE4ln9+aBZFzA0FoPmDAkKmoYqF5GA0ZdWv2CZj6C5xRukOw6jCSkNKBcr\nOw/W98sury2XoLlcaTOmBXddPHa9g0bME2NgLMHmtdWXF5zNRpRjKKrGFaveOKck4KaWNbwUeone\n2EkTV2eOWYPmj3zkI6V/Z7NZHnvsMZqalv4fUilIwMLb0e6yASeRlATNFRgeT6G49BfNShumn265\nrx2n4qTg13tBStA8O+Mi0ql4TO2NWi5gbDB0pEmkcvg91e26XqriqSyKY36CNYBWr/76Pp6WqYDl\n9P7A5k+im0qwFDTLVMDTpUubMa15LrR72kkUjtE7EgJWWvIYS1EmmyethrEDG4Pr5nSstcX39hjD\nJFI5vO5ZQ9V5M2v3jEsvvbT0vyuuuIJ77rmHvXv3zsfaFpQxDRAmRvyaTR+Xqui9mmXASUWGx5Oo\n7g/yat4AACAASURBVAQKKk3FcbPVUhWVNYHVqJ44RwdHTF7h0hQpPh+8FozQNrhtLlTNhuLQpwIK\nnVGeYcOO02b9hbWR5YzmZENmOaM8Q8WGU7X2gs6m2vDa/KXyDDEhrenvlVYFzUYHjd7wgCXHX6pG\nIykUl35BY9xFr9XqhhWAguIL0z1UX69DswbNQ0NDk/735JNPEgot/Y1rxmATh+LEZdEblU214bP5\nUV0JRqVXc0WGx5MorgQNtkZUpfbJlBubOgHojvSiaTL5bDahWALFnsNvwQhtg6IouBSfTAU8jVEW\n4FLNb7E1FSPLmdZi5PKFeXnMxSCeMs6De172nzQ6G1EcKcYiScsfa7HIZPNoqrV3XVYH9KB5OD1s\nyfGXqpGwHjQ78cw5ZnLanDTZW1G9kbrrcjVrzvumm25CUZTSRrXm5mbuuuuu+VjbgjJuR1sZJAA0\nuZqI5XoYicjmp0r0j4+jOLK0uOc2k76zOAgl7RhlNJyiNTg/AcliNZoIgw0aLarvN3htPhKOKOMx\nufNiMDLNXrs1Q2VOZ9zBMQactDbKcwMmyjM8tvkpT2z1NDGQ7GM4Ul9Bw0KKp3JglMjYrbnr1eHT\nx2knlRCpTA63s35KA+rZcCiO4kwScCw35XhrA6sIjQ1zZKS3rjYDzvrX8Mgjj9DQMPmNcnBw6Tf+\nDifS0JCxrJ7Z0O5t4WSih8HoqKWPs1QMRkegEToa2uZ0nPLNgCcGoxI0z2I8FQGfdSO0DQ2OBkbz\nA4zEIkCHpY+1WESSKRRb3vI6WsNEPW2a8VhGguaiaCKNYs/NS105QLuvGcYglJLacoNeImNtpnl5\nMWg2xmmv67D2NW+p6AuPoahaaa/WXJ3b2skLY89zMtpnyvHMMu397VOnTjE0NMTNN99c+vfQ0BD9\n/f188IMfnM81LohwMoaiWB8kLPfrm9DGUmOWPs5SMZLSLy5WzDFobnD6abQHUf1hjvVLJmc2kYy1\nI7QNRiZ7NCmBgiGc0n/3VgxzmIrf4UNFRXEmGZdNaCWRtN4/fD46mMBExj+ckdcng3HXRUG1rGzS\nY3fjUfyonhiDo9J2sVKDcX1/kBHTzJVxNzjKMMl0zpRjmmHaTPNXvvIVfvOb3zA6OsqNN95Y+rjN\nZuNNb3rTvCxuIUUy+ohlq29HtxYL5sMy+WlWmqYRzY2jAm2euZVnAGxo6mT/8Au8NtwHbJrz8Zay\neE4vHwq6rb2IbPY2QhhCKRlxboik4+CGRguGOUxFURR8tgYiMhVwkmg6Di4IuOYnaG4uBs3JQoxC\nQUNVpQWjXleexal4LK0rb3O30aMdp3tkjEsxp9xgqRtLj4EPVgbMCZpX+JejoKL69cmA566pj65t\n0wbNX/rSlwD45je/yUc/+tF5W1C9MIKEBoe1QbOxyzRNlGwuj8Muk5+mE45nKDjjJgbNa9k//AL9\nyT7pCzwLY+CI1eVKbcV2ZxEZpV1SumDxzE/QDBBwNhLJhRmLyiY0Q9TCoRpTKXUHciaJJDIE/a55\nedx6pteVZ3Cr1t7xWtPYQU/yOD3hAeB8Sx9rqYgWE3+tJrw3A9hVO82ONkY8pzg2GK7/oNlw0003\n8eCDD5JIJNA0jXw+z8mTJ7nvvvvmY30LIpcvkNISOLFmVGc5I9OsuJKMSRP7GRmdMwCa59jSBmBd\nsa455xpjaCxBR8v8ZJAWm1y+QBZrR2gbWnx6JjuRk1HahkSuOMzB4k3J5ZrdQfqSPYwkpEzGkLRw\nqMZUmlwTGzJD0bQEzUzUlXvt1r5Prg2u4MlBOJU8ZenjLBWpTI6sLYadiZjGDOsa1zA6MsSR4W6u\nq5PNgLP27Lrtttt44YUXeOihhxgfH+e///u/KRSWdhuiWNL6wSaGgLMBFZvedk56Nc/oVEjv0exV\nG3Coc9/RvNLfof/u/WGOD0g5wHSiifl7PjQWN6HJKO0JqeIwh/kK1gDa/XpWR2rLJyQL1vYHPp1e\nW25DccmAE8N4Sr+YtvocdPj0koyYNiZtFytgtJtDU0obic1wbmsnQF1NBpw1aB4dHeWrX/0qV199\nNW9/+9v5/ve/T1dX13ysbcFMGqFtcZCgKio+NaAPOIlI0DyTwVAExZmmyWnOlaxdtbPM3YHijXJ0\nQDZiTieayIAjg6IpeB3WdlIw9hBklaT0z0av48+ivy745ylYA2jxFMtkZK9FSaZQvHiZp42ARm25\nkWkWxfp+rN8U2+Fr1//hjjE8LiVKsxkJp1BdSTxqg6kTYyc2A46QzuRNO+5czBo0BwL67dLOzk5e\nffVVAoEAuVz97GS0QjSRheI0QKuDZoCgK4jiyHIqLHWcM+mL6Ltzl5m0Oxfg3JZOFEXj6GiPacdc\naiZGaHvnNFCmEn6HDzQFzZ6qqx3TCyWZzqPZjBZb85dpNrJFibyUyYA+VCNv8VCNqQSdQRRHRvr4\nF8WKdeUBi+vK3WUdNPpHpIPGbIZCURRnmqCjtim901nua0fV7Ki+MD2n6iM+mvUd8JJLLuHjH/84\nb3zjG/mHf/gHPve5z2G3L+1m3+WZ5gan9XWE7V69cH4gJiOdZzKc1NvNrQq0m3bMDcXJgKcyA3Ib\nbhrjsTSKI23pCG2Dqqg4cMso7aJYcQodzF+GEyZGaefURN1keBaSsQEN5jdobilujB2OL/0pvJWI\nZ/UANjgPmzFbXe0ozjS9o3IXcjZ9EX16opn1zKC/H7Q6l6F4YnTVyd3gWYPmD3/4w9x+++2s/v/Z\nO+8wO+7y3n9+U07fPdurtqpYXbIsF9wLGEwo4dKMbSAhlIQQCDUJGGMHEki44RLgIRic5IIhQBqX\nEsDYFu5V3bIsabXSavvu2d3Te5n7x5yR14ulVdkzM+ec/TyPHh4v0pl397cz8/7e3/t+v11d/P3f\n/z0dHR184xvfMCM2yzAstJ3ChbIEvbOL0V6jV05nk/b4pbAr4az+82n1LF2l2RgGxBNkLLBczXk5\ngokEQi6YNojmEl6EmiG8LHdmipnDy/ESV8D48jrEU7o+MJhb8W/16knzXGo5aQZI5PRWCTM0yztr\ndZOT48Hxkl+r3JmO6+9mI5dZSvr8XQgBhwMnlvyzz4VFk+abb76Zvr4+ADZv3sx73/te2toqW7dQ\nT5ozeE1KEox2g2Wt5lOTzuZJC/14ZqkkbUA/hnYLL5IvZDuPe7swW1RQqC2xZrmBR/Eh5Dyz8eVN\nTDyZRahZFBymbOANvKoHgaQnzcv9tMSTRsVf4FZcpl23yWPo+C8PKgOki33lZmwgV9Z3AjCVWFbQ\nWIxgRk+aO2rPz3Ts5VjbrOefI3F7DAMumjSvW7eOX/ziFwwPD590BZyamjIjNssIx1MIJWtKPzNA\no0uvJiS1yPLw0ykIhJIIl340t5RJsxCCLt8KhCPN4Sqwhz8Xgkl9s9JQYmMTg9riZjUQW1ZuiBUr\nzU7JXCtrSUi4JZ8+hLZc8SeWzCGULA6cJe/rn49R8U/ko8vvBiCjGUlz6SvNHTV6cTBSmF3+2S9C\nLKdv6pby3WzQ69eHAWPMkM5a3yq2aOli165d7Nq16yVfE0Lw0EMPlSomywmmIuCGepOSBMPgRFPj\nRJNZaj2lsQctZwyNZiduXMrS6pWubernSPQwQ+FhYPuSfnYlEMlEwQ1N3qUd8jgVda5aSMJscrny\nH01kQMngls0X9q9Raomro8xFltUDjPYMlwl9/fMxtJoLSoJkOo/HVdnzRKcjm8tTkDJImFNpbvPo\n7RkFR5RgNE1DrXknDOVEIpUlr8SRWfqeZtCNzBTNScEbZnQ6xsrO0hrbLMaid+DDDz9sRhy2IpLW\nK2v1bnOSZq/iQdZUCs4kc5HUctL8MkwF4whnCr+jY8k/u7+uB4C5wiSZbB6HuuzKOB/DaMSs+6HB\nXQdBCC1baRNOJhCSZmofrUGDy89UZpTp+HLFP5bMgJLFLZtrPnWyt9yZJBhLV3XSrA9jGn3lpV8H\nl+LEhY+kO8bEbGI5aT4FukZzAklTSjKsLISgydHKpBjmyETA8qR50XOmSCTC5z73Od7znvcQCoX4\n7Gc/SzRqD+mPUhErJglmtWfoepy6VvPMsibkyzIaCiCEtiT22Qvprl0BmkB4QwxPL0tsLSRhkoW2\nQYtPTxSiy1bahFPm6NK+HE1F5YbZxPIQWjiZQAjN1GFMAKfsQMVZ1Gqubh3/k33lGngUc9qVGp3N\nCEeaoZlZU65XjuinwEndb0KIklyjr05v0Tg8M1SSzz8bFk2aP/vZz7JmzRoCgQAej4fa2lo++clP\nmhGbJWiaRjJvbpIAUOeoR8h5JsLLVZ2XYyqhy/F1LqHcnIFTdlCvNiN5IwyOLycI8yloGln0jZxZ\ng4DNxaQ5UVjewEQy+s/A7zTPQtvAcAUMZ5Yr/pG0vg5mujIaeOVahCPFXJWbX+n9/VkU4VxSA43T\n0enT+5qHlhU0TslEKIRQctQ5StdCtr5FHwYci1u/DosmzSMjI9x6663IsozD4eCTn/wkY2NjZsRm\nCalMnoKsP5zMTJqbi1PSy1rNL08wXZzOrVn66VwoytpIBQ5N20PWxi7Ek1kwyR3ToM6pt4GkC8um\nArGsvoGvc5v3LDIwXAGNIZ9qJnpy82J+0lzn8CPkPIFoda+D0Z7hFOa1Saxs1BU0JuOVLX5wPhga\nzS3epT8FNujz69KwMQJkc9YOAy6aNEuSRCwWO1l2HxkZQZLMmx42G0NuDsyrrAG0F5PBmeTyMdBC\nCppGrKAPhTV7SnNjrm9eCcCwjTzu7UAkkUWoaYQm45KXdgDzVBjJeVYkqn5qPVE0c/CbYOawEMMV\nMFmIVf06xLP6aYvfgs1LQ3HzYmjhViux4lCsSzZPSaarth2AUG75vXwqZhKlk5szqHP6UTU3eMKM\nWuynsGj2+2d/9me8853vZHx8nA9/+MO8/e1v58Mf/rAZsVlCNJ496QZoZqW5o7ao1ZxZbs9YSCia\nBod+o5RC0gag39jJimkSqWX7ZgPDHdMpPCXrV1uIKqtIBQeakiZV5W50qWK13Uw3QIO6onKDpiar\n3tI8kdPXodaC9oy2Gv0Uci5Z3e+GSCqJkDQ8inl95a0evR0wq4SJp7KmXbecCGX1lsZSGJsYCCFo\ndrQhOVMcGrdWGnbRUdxrrrmGjRs3smfPHjRN4/bbb6elZen7Su1CJJEBNY1AmDr0YQy4xQvLw08L\nMQYNFBx4S/TAbPY0oeCk4AtzYjLCut6ll84pR8KxNCgZPCZLnjlwk1cTRBIZ3M7qVQwwU5d2ITUO\nL0KTilrNGTwu1fQY7IKZphoLafEuG5wAhFLFvnIT18ClOHFqPlJFBY1VFis32A1N04gXIghKIzc3\nn/76bsanj3N4ZoibWFPSa52ORSvNsViMe+65h2984xvcfffd/PjHPyadrlyxe6M9wyV5TBWxbyga\nnOTkmOU9O3ZjKphAuBLUyHUlq3ZKQqLV2Y7kSnBkYtkBymA2HkFImmkW2gYuyYtQswRj1asmk8sX\nyAn9WWtFpVkSkm5p7kgRqnKDk4ymz7lYkTQb74ZoLkyhittkosVhzBqT+8obHM0IR4ah6eV5o4XE\nUzkKqn4K3OgqbdK8oaUfsH4YcNGs8BOf+AS5XI6//du/5c477yQYDHL77bebEZslGMfRXsXkJEFx\nomguhDPJ3LJt7UsYDc0ipAKNrtINGgCsbugF4NDM8ZJep5yYSei95Ga2KgH4ivffZLh61Uzm69Ja\nkTQDeJUaUNNVbXCSzRXIFzcv1uhlGwYnSWbC1augEc0UW2RM7u/v8OkmJ8eWFTR+B+MUWNVcS246\nthBDdi4mAmRzhZJe63QsmjSPjo7ymc98hvXr17Nx40buuOMODh48aEZslhCKJxBynhqH+YM3HqkW\n4UgSCC2rBsxnIqZP55ayZwpgfbO+kx1PVq46zNliGIyYZWxiYCTpM4nq7eOMzdelVc210Taoc/oR\nAkaD1TsIlUhl4aSphvlJs34vCIQjyVigemUY48Wh2HqThzFXNugKGhMxa3tp7UgglEA4kvjk0ret\n1Dh8ODQfwhO29D5YNGnu6upiz549J/97YGCA7u7uM/rwQqHApz/9ad7xjndw6623cvToUYaHh7nl\nllu47bbbuOuuu8498hIxV7TuNctCez5+tQ4haYyGlo+B5jNbVBTp8reW9Dq9xWHAtDqr97Yvc9Id\ns9lrbi+fcf/NVbGVdryoS6sKl6mtYvNpq9FPd6r5mRRL5RCK/jzwWrB5kSWZGrkWyZVgfMZa5QAr\nSeX1pNlso5/eet2FNpit3o3jqRgNzSAkjXqnOTMvLc52hJrh4Lh1ha1FJ2zGx8e55ZZbWLVqFZIk\nMTg4SF1dHTfeeCNCCO67775T/tsdO3YghOCHP/whzzzzDF/5ylfQNI2PfexjbN++nc997nM88MAD\nvPKVr1zSb+p8iBRdyBrc5jf8N7kbGMnARHT55pxPJK9XG1s8pa00e1UPHuqI+0IcGw+xdVXlDrye\nKfFcsV/NU2fqdRs9dTAH4XT1DsbGklmEmsEhzO+jNWiraYBJmIpVr9yZsXmRUVEka4ZS231tRPOH\nGZqZAXoticFq0gVr+srbvHqxJiWHyObyqIo5xirlwER0BhRoLaFG83xW1nUzOj3A4ZkhXss6U665\nkEWfAF//+tfP+cNf+cpXcv311wN68u33+3niiSfYvn07AFdffTVPPPGErZLmaFYv+9dZUGnuqG1m\nTxgCy1rNJ0mmc2SlGAql02ieT6d3BQPxAzw/PrKcNANJw0LbRM1ygJaaopV2toqT5kQGlCxu2bqk\n2einjeRCZLJ5HGr1JQzxYnuGw0RTjYX01XVyJHyYseiEZTFYTYYUAvNbZJyy46SCxtRckhUt5rdu\n2pWZ5BzUQKffnHflxrY+Hp6GiaR1/eWLnvm1t7dz/Phx9u3b95I/3d3dZ9SmIUkSf/mXf8kXvvAF\nXve6171EJN/r9RKN2uul+KKFtvk3RlfxF29Zq/lFAqEkkiuBpMmmDKMZfc1HQ8vOgJqmkTEstE0e\nBGyt0Y/7jKS9GgmmYgihWaLYYNBerLKJouRWNaLbN5trqrGQTp9usjGXnaFQqD4FjVz+xWFMMyXn\nDOqUJoSa4VggYPq17Uw4q+cqpZ43MjCGAaPMkMtbMwy4aKX5Ax/4AOl0mo6OjpNfE0Lw+te//owv\n8qUvfYnZ2Vne8pa3vESuLh6PU1t7+opufb0HxaTjkHy+QIYkKtDd0kpzs7mJwnp3DxyARCFi+rUB\nS665GAMTEYQzQY1SR2tL6VtmLlc28tOhnzGTnaCpyWeaoYeBndYgkcqiKfqRaH9HO07FYdq13X59\nP58hUbX3QlrTn5WNPr9l8TQWvChPqxQ8USLpnKlx2GENAPJSASEXqHX6LItpk3MVPA+aK0JOkuhs\nNqeoY5c1CEZTJ5VketpbTX0WAfQ1rGAqMMR4PEBz82ZTrw32WYf5aJpGkigSsKazi2afGTHW4MZP\nwhMmkdNY2Wb+z2XRpDkQCPDzn//8nD78pz/9KVNTU7z//e/H6XQiSRIbN27kmWee4ZJLLuGRRx7h\nsssuO+1nBIPmVTfCsfRJN8B8QiYQMLkKXlBBg7SIMj0dMTVha26uMf/7PQMOnphAKDn8ar0p8bkL\nNQhNJuec5fDgDI1+845k7bYGU8EEQs0gaSqRYBowTwpR0zTQJLIkTf+Z2GUdpsNBcIALl6XxNDmb\nmchP8PzgNJt6zBn4scsaAIzN6O1yLsltWUxywYWEjOSJ8tzhaRyUvtpspzUYn4kjlCxCk01/FgF0\neFsgAIMzI1X7PFpIOJ5BU+OgCbS4SiBpTozNjjaGOcyjzx+m1rm+NNc4zSZl0faMSy+9lKeffvqc\nLnzjjTdy8OBBbrvtNt773vdy++23c8cdd/D1r3+dm2++mVwux2te85pz+uxSEC5qNIP5x9GgT0kr\nmhccCaLJZctOgLGIbjTS6jXn+EeWZOrlVoQ7xsB49SoGwEsttM1GCIFScKMpaV16rQqJZvTWlDqT\nJbYW0u3vQEgaQ8Hq7KeNpPV1MFu1YT6yJFOvNiLcMcYC1ecMqPeVZyzrK1/ZpMvOzWWq+50wn5lQ\nEsmZxCm8yJJ5sw79xRaNI7NDpl1zPotWmru6unj3u9+NLMsIIdA0DSEEBw4cWPTD3W43X/3qV3/n\n6/fee++5RVtiogl9Wl1Cxq1Yc3N6RA1hdZLJuRi1nmUr50BiBmpf7Pc2g56aLubC4zw3eYzL1q0w\n7bp2IxRL6RbakjkbloV4FR9ZMc3AaIgLVzdbEoOVxHOGLq21g0e9/hU8M7WTyWR16tTGMnFQwe+y\nLmkG6KrpYDY7zfG5SWClpbGYTayoYOKUrLGx7vC2ggYJEaRQ0JAkc9v27MhUKIZwpKmVzX02b2rr\n56FpmEhYMwy4aKX5u9/9Lvfffz/79+9n3759J/+3EokkMqCmcUke03tZDZpcDQgBz42OWHJ9uxHK\n6o5wHTXmJc2b2lYBMBSp7mHAmVgYITDdQtug1dOEkDT2j1bnOpzUpXVamzQbQ2gJMacbfVQZxual\nzmVtxb+3Xq92jserb/MSTWQQSs6yYUyH7NCNNVwxZiLV68o4n5GQfgps2LybRW/dCtD0YcB8wfxh\nwEWT5paWFpqbm5Fl+SV/KpFIsafZK1v3klrVrD8YD0wsWzkXChpJ9KNIM+TmDNY29QEQLExaNqFr\nB2YS+s/ebLk5A2PzMhA8Zsn1rSat6S9nqyy0DTq8bQBInihjVWiukSwmzbVOa9dhRXHzEs5bpxxg\nFaFiv6xXsU5JxlDQODI+bVkMdmIipreqtPrMPYl0KS5cmh/hCTMeMP95tGh7Rnt7O6973evYvn07\nqqqe/PrnP//5kgZmBbOJKELSqLGgn9ngwvZ1/Gb0fiZzJ0hn8jgdlblBORPmoilwJEAT1DvNM9fw\nO2t1XU5viOGpKP0d1hwJWk0oFQEFGizQLAdY17QKBmE2P04uX0CRrXHFswJN08iRQsIa6+b5eFQ3\nXqmWmDvKWCDO6hXmGt1YTbqgyy56LexpBugoJs24okwFk3Q2WRuPmYTTun+ClffCitp2pkNDvDA9\nxJXreyyLwy7MpYKgmts6adDibGc4e4jnxobpat1g6rUXfQtdfvnlfOADH+Ciiy5i8+bNJ/9UIsHi\nbtbKY7guXycOPIjaAIeGq9eFCyAQ1DWa3aLG1EEDgHZXF0LJsmdkyNTr2gnDHbPRZAttg1ZPM4rm\nBF+QE5P2mx4vJelsHk3WrZutrjQDtHlaEY4Mx6tQpzaDNU50C6l1+HDgQnhiVWenbQxjWlnt39iq\nn0CeiIxaFoOdiOR0jeY2kzSa57OyXvcIOTJrfuveoknzW9/6Vq688kra2tp405vexJVXXslb3/pW\nM2IznXBaP45u9FhXWRRCsKpmFULN8OSxw5bFYQfGg2GEmsGvmtszBbCxRR+0OTQzaPq17UIsp1d3\nmn3WVBYlIdHmWoHkTLJ/eMySGKwiltTVAtCEZUPJ8+mr1wdih8PWOXFZgW6qoW9evIq1mxchBM2u\nViRXghPTQUtjMZt4Vk+a/S7rWifXNPYCEMxNvcSkrRopaBppikUVl/mCBZva9Q3MeNL898KiSfOv\nf/1r3ve+93HXXXcRDod585vfzC9+8QszYjMdI0locFtzHG1wWZdeyT8cPmJpHFYzEtZ7x1pM7Gc2\n2NK+BoDJdPVWFVJFd8w6p3X3w/omffNycOaoZTFYQTyZQygZVFyWDSXPp8evz1oEMtNVlTAkUvo6\ngPWVZoDuWr1FYyhUXZvIeNZ6JZl6V50ug+kJMh1MWhaHHQhF0+BIIjTZEvfk3rou0CCmme+QuWjS\n/O1vf5sf/ehH+Hw+Ghsb+clPfsK3vvUtM2IznUTOOAKyNmle37QGNImUc5wpE81d7MZkcdCg00Tl\nDIM2bwtSwUHONctsuDqnpU9aaFs0CAiwuXU1AJOpkapK1mLJLELN4pSsrzIDdBaHAbNqiEg8Y3E0\n5hFPZYumGhJO2VwXupejr6igMZmYsjgSc0nm9WdwrYWVZoAmRzvCkeb50eratCxkJpxCOBO4Ra0l\nm3qn7MCl1YEnwtiMua17iybNQgh8vhd/UVtbW21R+VhqNE0jrRWnpC0cBARwKy5a1A4kX4SdR6tX\nei6Y0Xu6u+pbTb+2JCSa1Q4kV/W1BgBkc3nysv6iqrFIcg6gu3YFQlPIuWeZDlVPdSeSSIOcxSVZ\nX90EaPY0IaEguaOMVlE/bTyZAyWDKuxR8V9R0wFAVJsjm6seBY2MMYxpcX9/f53eS/v8dHWrW40F\ng0WnXutaWVuc7Qg5z3Njw6Zed9GkedWqVfzwhz8kl8tx5MgR7rzzTtasWWNGbKaSyuQpKMXdrMVJ\nM8DWNt0ectfE8xZHYh2xvD5o0OKxxlxjdb3eN7V/csCS61tJJJ5FqGlkzWn6EOZ8ZEmmUWlD8sR4\nfrh6qmuhZBQhwGOhxNZ8JCFRrzYh3DFGpqvHkS5WrDQ7hTX6wAtpL5psCHeUqbnqOYXM2mQYc3Ob\n3i42Gq++Qsp8xsL6QHCTy/zWSQOrhgEXTZrvuOMOhoeHURSFj3/84zgcDu666y4zYjOVaGK+hba1\nR0AAl3bqfc2T2aGqqigYJFJZ8mocNN3wxQq2dV4AwEjc3J2sHYgkMgg1gxPrk7Y1Vbh5CSb1+Qqf\nxTJn81nha0dIGoOz1TMMGE2kEUoOt0WmGgtxyA68kl+v+AdiVodjCi8ZxrQ4aV7V0K0ba2jTlhhr\n2IWp2CxgjXKGwab2fsB8Z8BT6jT/5Cc/4U1vehNer5e/+Iu/MDMmS4gULbRlVBw26F1r9TTj0mpI\n1szwwsgsm/uqy0Y4ENJ7phx4UWV18X9QAvrru0GTiMvTpDI5XI5FZc0rhrlYAqFkcUvWJ20Xdqzh\niZlHGa6izUs4HQMJ/Ba7Ac5nVeMK9gX3MBabsDoU0wgl9H5Ju1T8AVrdrcS1IxyfmeYy2qwOQNnS\njQAAIABJREFUp+Qk0rmikgx4FGs3L27FjUvzk/SGGAvE6W61/lTaCubSc+CErjrr8pK+uhWgCaLM\nmGptfspK8/e+9z1TArALkXgGoaRxCXs8HIUQrPKvRig5njx+0OpwTGciGEU4UtQq1hkpqJJCrWhB\neCIcHq0ufdrpqN4aY5WF9nz663pBEyTkaV2KrQqIZfQqopUSWwvpKvbThnIBClUylBkq6gP7HPZ4\nLwD01unDgEOh6qj4x5N6i4yME0lYb3DU6upAyHn2j5qvEWwXYnm9RavNZ13S7JBV3FoduMOMz5p3\n6mL9b6BNCMdToGbwKPZ5SV3RrbdoHAlVn/TcieAUQkCDRa0ZBr013QgBu8eqpzUAYC4ZBsBvg1Yl\nl+KkVjQhecMcHpmxOhxTiGf1wacGj30qWZ1FR7qCM1I1ijKRohNdjcUW2vPpb9A1swOp6ujxjxdl\n/xzCHkoyaxp6ATg8W53DgPlCgYxkaDSb76EwH30YsMD+sSHTrnnK8+aBgQFuuOGG3/m6pmkIIXjw\nwQdLGpjZzMYjCGGPfmaDtY2rEZpMwjHBXCRFQ609HhpmMBENgAodFu5kAba2r2F/9BkGw0PA1ZbG\nYibBZAQkqHfbw0K8r7aXfZEAe8aPctGadqvDKTnJvD7kZaU76UI8qgeX8JH06HbazXX26PMtJbFs\nHBR7rUOnT2/JSIggmWweh2rdoK4ZRBMZULI4JWsTNIPNHSu5fxImktVR6V9IMJIGRwJZc+Ky2Hhp\nZX03J6YPcmT2BK9lkynXPGXS3NPTw7e//W1TgrADc8kIyNYaOSzEIau0ql1MiiGePnqcm7atszok\n05hNzYIK3fXW9uxtbF0FRyCYn6SgaUg2kJ0yg0gmCi5osshCeyFb2y9gX+RZBsPHgausDqfkpIsS\nW3YaBARodrYwoh1jcDrA1tXWDQGZRSKnr0OdhaYaC2lyNyJpMgV3lInZBD1t9knoS0E4EUdIGm7Z\nHi0y3bUd+qyLFCCby6Mqlb1pWUgglEQ4k3iF9ff/5vZ+dkzDRMK8OYtTtmeoqkpnZ+cp/1QaoZTe\no1NvsRvgQra1bQBgZ5VJzxm+9h011laavaoHV6EOzRNkJFBFUltZ/Vi6xSIL7YWsa9YnpUPaJLl8\n5U+tGxJbPot1aRdiOANWiyNdKqdX/O3UWy4JCb+iy/+NVsEzKZjSn0VemwxjKpKCjyaEO8qxyZDV\n4ZjOcDCAkDT8DuvfDb31xjCgeXMWp0yat23bZkoAdiGW03t0mrzW/yLM57Iu/chhMnu8KpIF0CWG\nMqK4Hm7rdCANOtwrEHKeXcODVodiGqmCYVtrj0pzjcOHS/MjvEGOT4atDqekFAoaeUmXv7TazGEh\nqxq7AJhMTFociTmkNUMf2F7r0OZpRUgaR2cqX8kkkjLkF+2RNAN0eDoQksb+sWNWh2I64xF9rqTZ\nBu9mVVJwF+rBHWFizpxhwFMmzXfccYcpAdiFRLGiUO+yV6W50d2AW6tH881yeHTW6nBMYS6aBlcC\nRXPhtrhnCmBj8yoADs1UT9KcNiy0bWD0Y7DC042Q8+wePmp1KCVFt27O2Ma6eT5dNXo/eVSbrYpN\nfFazh6nGQoxhwJFI5Vf8oxldwaTWRvKL65p07fiBYPUpaEwn9Dykw28PGdwWVztCKrBv1JzBzGX1\njCIprXhj2ihJMFhduxohFXjs+AGrQzGFqbk4wpHEK9mjynnhCt3kZCpd+S8o0KejC1ISNGGrZGFz\ny2oADs9V9tR6LJkFJYOCPayb59PsbkJosu5IF6xsW/N8oTCv4m+f+wBgZb2eNM9kKl8KM5YtDsXa\nqK98c4deSJlOV36lfyGhTBCALn+LxZHorKwz1xlwOWlGfzjmRLGy5rRf0nxl7xYABsLVIT03PDeN\nkDTqHfaYlm52NyDn3WSds4RjaavDKTmxRBbUDIrmsoUuqsGWdj1pns6OoVWwTnA8mUMoWRw2sW6e\njyzJ1MqNVWGnnUjlQMmCJiw31VhIR1FBIyUFSWfyFkdTWpJZo1XMPu/mVk8TUsFBWp0lmc5ZHY6p\nGBrNLV7r2zMANncYzoDmbGDs80a0ECNJAKixgZnDQtY29iMKKnHHGKEqSNpGItMAtHqtn84F3Wim\nWe1AONLsGa7847hwXLeUt1vS1uhuQCl4KLhnmQ4mrA6nZIQTKd26WbLXz9+g3dOKkAocCVT2yYuh\nD6zgsNXmEfQef1VzIzxRxmfjVodTUpJFJRk7DWMKIfBLLUiuBIfHpq0OxzRy+QI5KQaaoMFlj/mv\nvvpO0CRiBEwpptjrSWARuoV2GkVzIkv2k4+RJZl2tQfJmeLJo5VvshFI6j1T3XWtFkfyIqvr9R62\n/ZOV3U8LMBuLIeQ8HhtYaM9HCEGbYwVCzbD7xJDV4ZSMuYReyXHbRC1gISsb9GHAkXCFJ81FJzrV\nJqYaC6lXm5GcKYam5qwOpaRkikmz3Vpkun16i8y+ieqZdZmNpBCuBA7NgyKdUrHYVJTiMKDmijA+\nFy359ZaTZiCS0CtrLsleN+V8LmyvHum5cEZ/CXTZKGne3rUWgJH4sMWRlB47WWgvZG3TSgAOBCp3\n8xJM6g9+u8nNGaxsqI5+2ljSMNWwZ8XfMDk5OjdqcSSlJYs9+8o3tOptAcfDlf9OMJgKxUBN45Xt\nJZjQ4mwvqpkMlfxay0kzEIolEEoOj2y/JMHgyp7NoMFkdohCoXL7OTVNI0mxZ8pjj/YMgL66TkRB\nIS5Nkc1VtmrAbLHSWWsjox+Dizr1oczx5IjFkZQOw7q51kbWzfPpLCpoJKUg6Wzl9tOGEnGE0HDL\n9kyaVxfl/8ZilTuMZmf5xY1tetI8l6sO+UUozhsJqHc2WB3KS1hVXxwGnBkq+bWWk2YgENN1X+3Y\nz2xQ66zBqzWheeY4PFa5FZ54KkdBjSNpqq0qbbIkUytaEe44h8amrA6npART+v1gN/lFgBW1bUgF\nByk1QDyVtTqckhBN6z2qfhtZN8/Hp3pxaB4kT4Txmcrtp7WbqcZC+hp0o5lgtnLfB4m0PhQrNBmH\nrFodzkvwO2tR8l5yziDheOXPGgGMR/XftRaPvZLmzR36CeS4CcOAy0kzRQtt9JvAzqz2r0FIGo8e\n3291KCVjOphAOBO4qbWd3FZvTQ8Au0YrW8UkktGTBbtYaM9HEhINcjuSK8n+E5V5LB3P6Ylovcee\nSTNAg9qMcKQ5NjVjdSglI2y0ydjMytygzdMKmiAthytWwSGezIKSRcFpdSgvS6PShlAzHBit7P5+\ng5mE3jrZWWsPuTmDvvoOKEjEROmHAZeTZiCU1pPmBo+9k+ar+3TpuSMVLD13YnYGIRfwq/aQm5vP\nhe1rABgMV7ZOcLxood3qs98aAKys04cy94xX5n1gGC012jhpXlHTAcDRucptk4lm7GehPR+HrOKm\nFskTZSxgjhua2cSKRj92U/Ix6PXrLTLPT1bHMGAoq8+7dNfbK2mWJRm31oDmjDIRLO0w4HLSDEQz\nRctmjz0kVE7F6sYepLyLhGOcSKIyj4NGwnrrQ4vHHhqQ89ncsQo0QbAwUdE6wcmCXulstGGlGWD7\nCn0o80SsMgdw0gXdhc6OmvEGa5oqv582njXaZOyZNAM0OVsQSo6j05XZMhZJpBByHpdkTwWTze26\nyclwrHI3j/NJFPQCY7MN38+txWHAUjsDLifNQCJvJAn2rjRLQqLd0YtQMzw2cMjqcErCVFw/7rXb\n8Q+AU3bgLjRQcIUYn6tcY4cMeoWt1mHPZGFNYzcUJKJisiKtnDPoSbPPZmoB8+krOtKFcpXbnhEv\nVvzt3CbTVatX/AcrVEEjGNcr6HaVX1zX0gsahArTFV1IAchk8+SVOEKTbemcvLLeHGfA5aQZSBWK\nx3A272kGuKh9PQC7JytTem4urfdM9TbYR25uPh3uLoSk8cxQZbYGFDSNnEiBJuG2mQuagSIp1NAC\n7ihHxisvacsJPWm2m1rAfFo9zaBJZJVQxQ5kpvJFUw2bqpgArC5W/CcTlangEEzpp8B2HcZ0yg6c\nhXoKrhAzkco1XIKiRrMziVPz2W7eCGBLpz4MOJEYL+l1qj5p1jSN7MnKmv12Twu5sm8zaILJ7FBF\n7mzjBV25od1nv0ozwIZm/cY8NHvM4khKQyKVAzWNUnDb8sFo0OPrQQjYOVJZJy6ZbB7kDEJTbKcW\nMB9ZkvGJeoQnxsh06Q0FrCCj6ZuXGpueuAD01+sKGqF85W0eASJFBZMamw5jArQ42hFygT0jlT3r\nMjYXQihZahR7tu3pw4AyUWZKmhtVfdKczuYpKGnQhO3E018Or+rBV2il4A5xaLyy+thy+QJZKQqa\nZNuq/8Xdej/tVKYyp6XDsTRCTeO06eCNwdYOfSjzaKiyXlSxZBaUDIpmT7WA+TQ7dTvtw1OV2RqQ\nxaj42/e90OCqRxQUcmq4Iiv+xjCmXTXLAVbV66pKhwJD1gZSYoaDer5R77TngLgkJDyFBjRXlIlQ\n6donqz5pjsR1N0BVcyOJ8vhxrPGvRgh49Pg+q0NZUmbCukWnS6ux7Vo0uP0oOR8ZxwyxZOUNYwai\nEYSk4Zbt+5IC2Nq+GjSYy1fWUGasaN1sV7WA+fTW6VXOY6HK20AWNI28yAD2TpolIeGTGhCuOMPT\nlTdnYcgv1rntewq8tVMfBhxLVObm0WAyNgtAq9c+pmMLaXG2I4TGvhJW/e2ZmZhIOJ5BqBnbWqW+\nHFf3XwjAQIVJz43MziGUHDWKvVVMmtUOhJJj54nKqnICBOJFC23FvkfSAG7VhSvfQMEdLLnEkJmE\n4omiWoD9n0drm/XBm6kK7KdNpHIIJYOkKSiSYnU4p6XZ2YKQNI5MV17SlszpfeUNNh7GNNoCYgQo\nVNAGfiEzKX3eqKvOnq2TACsb9GfS4RIOA1Z90jwXiyPkvK0ttBeyqrETKechrk5UVLXzRFB/+Ta6\n7CdnM5/V9bpO8HOTAxZHsvTMxPWecjvLnRl0uLsRksbTQ4etDmXJmCsaanhsOvg0n55ipTmqzVZU\ntR/QWx2ULAr2lDqbj1HxP16BFf+Tw5gu+558yZKsu/W6oowEQlaHUzKiRY1mOyfNRtV/Mlm6YcCS\nJs25XI5PfepT3HrrrbztbW9jx44dDA8Pc8stt3Dbbbdx1113lfLyZ0QgHgTAZ2ML7YUIIehQ+xBK\njoePVo6KhmHR2e6z7/EPwMXd6wAYiVeeTnAwVTT6cduzp3w+G1v0B+ShmcoxFphLFNUCbNwSYFDj\n8KEU3BScEUKxjNXhLCnxZK5oqmH/pHlti66gMZWsrBkXeHEY066ujAbtrg6EgD2jlfMsWkgC/dnU\nbDML7fn01rdBXinpMGBJk+af/exn1NfX84Mf/IB77rmHz3/+83zxi1/kYx/7GN///vcpFAo88MAD\npQxhUYzKjr8MKmvzuahjAwB7Kkh6bjal90z1NLRZHMnp6atvR+QdxKRp8oXK0gmOFI1+Gj32nJCe\nz8XdFwCVNZQZPqkWUB6beL/chORMVZyddjiRQMiFsmiT6a3TNbOjhVmLI1l6XhzGtHfSfEGTfvo4\nMDdkbSAlIpXJUVDiSAWHbaVIoTgMWHQGnCzRMGBJk+abbrqJj3zkIwDk83lkWebgwYNs374dgKuv\nvponn3yylCEsSjBZrKy57J8kzOeq/o1QkJjMnqiYo9FoTm8N6PbbU6PZQAiBnzaEM8nBsdJqQpqN\n4YLWWmPPCen56EOZNWSclTOUGc3oSbOdXejm0+7VN7iHA5V16mJU/N2yfRMEA6/qQcm7yTsiRBOV\nU/EvaBoFKQOawK3Yu+J/4YpiW0C6st4HBoFQEuFM4sb+xUV9GBD2jJZGFrakSbPb7cbj8RCLxfjI\nRz7CRz/60ZckeF6vl2jU2iGeaLZooe0rr6TZrbrw5dvRXBEOT5a/la2maaREBDRBo9v+CVtvjS4z\ntGu0soYxDQvtZp+9hzENWtROhJzn6eNHrQ5lSYhniy50NlYLmM/KBr3KeSJcWclCqFjx99q8LcCg\ntgIr/sl0DpQMsuawrZqSQZuvEZF3kpRmKtKldHhuBiEVbD+kDy86Aw6UaBiw5GPBExMTfOhDH+K2\n227j937v9/jyl7988v+Lx+PU1p6+d7K+3oOiyCWLL6XpL6nVnR00N5fHi8pgS9t6Hp8d46mxA1y1\n+YLz/jwrv/9QNA2OBA7NS3ur/ZPma9ZtYe+uRzkRO7GkPzerfwcz6IM3Kzvacan2ru4AbO1cy/jo\nIQ4Hj3Nz82VL9rlWrUO6eBzd395q+e/CmXC5vI6fDv+EuVxgyeO18vtPo59cNNf4y2Iduus6mQuN\ncCI2xSubz/9dYGDl956biSOULKpwl8Ua1MttzMknmE5G2dK3Ykk/2+rvf3afPgTY4W+xPJbFuG7j\nZh586OdMpSdLEmtJk+aZmRn+6I/+iDvuuIPLLtNfaOvWrePZZ5/l4osv5pFHHjn59VMRDJbWmjKR\njYEbpLRCIFBe0lWXdm7i8dn7eT5wkEDgxvP6rObmGku//xdGAghHGg9NZbEOfb52KEgEsuNLFq/V\na6BpGjmRRCrIRENZotjfLGFzy0p+OQrHw8crYh3imRg4QM6Wx/PIXagBTRDXZpmajiAtkYuk1ffC\nTCQEEjhwlsU6dHpa2RuCw5NDBAIXLslnWr0Gw+NhkLM4RF1ZrEG7u4O55AkePrifjiU8ubZ6HQCO\nz0yAgHqH3/JYFsMvaiCvEC5MMz0dOSdn29Ml2yU987j77ruJRCJ885vf5J3vfCfvete7+PM//3O+\n9rWvcfPNN5PL5XjNa15TyhAWJW1YaJfZICDAyqY25EwNcXWSaCpldTjnxfFZXW6u3mHfydz5qLKK\nO99EwRlmfK4yZIZSmTwoaRTN/n2cBiv8LYici7g8RTaXtzqc80LTtJMSW74yGQSUJRlXoQ5cUaaD\ncavDWTKM3v5yaZNZ26q3iwVS0xZHsnTMJeIISSsbD4X1zfow4GCosvr7AeZSuspYd529543AcAZs\nRHPEmAwv/TBgSSvNn/nMZ/jMZz7zO1+/9957S3nZMyaby1OQUsiajEu2/1H0y9Hh6GOE/fzzM//D\nBy9/Aw5FtTqkc2Isoj/s22zsNrSQTncXR3PTPDN8mN9vuNTqcM6bcDwFagZHoXz6+4UQ1It25pTj\nPDc2wraeXqtDOmdOTEXJkkIGfGUgOWfQ6GhhLB/k0MQYbQ1L1xpgJcm8/U015tPlb9Mr/syhado5\nVdfsRjCuJzzloFkO+jDgfwzDTLb8Z4wWEs3bX6N5Pi2udobyU+wdGaS9btuSfra9u+tLzK7DAVAz\nOIWnbB8yr159OVpeZiD3NB9/4Iv8x55HKZShDFogqcsldfnL46YE2FDUCX5htjK0OacjEYSwv4X2\nQvr9vQDsGitvk5PdR2YQagZVOJCl0s1xLDVdNe0ADMyOWBzJ0mFU/Ovc5VHxVyUFR6EWzRUhHKsM\nJZlQSq/2l8sG0u/yIWd9ZNQ5Uhn7t7adDWmioEFDGQzpA6yqL50zYFUnzQ/tHUOo6bLQpD0VF3b1\n8xfbPkZLfi15Nc5DwZ/z0fv+jl8f3G11aGdFKKMf//Q1tVscyZlzac8FaBpMpytDJ3gqVn5GPwAX\nrVgLwFBkyNpAzpNdg8NInhjdtZ1Wh3JWrCnaaY/FK6fCltH0xNNnc33g+dQrzQg5z6HJylAyiaR1\nBRO7G5vMp0FuQyg5nhurnA1kIpWloCZQCh5Um1vKG5TSGbBqk+aJ2ThHI0cRkkZvXYfV4ZwXPY3N\nfO5V7+FD6z+EP9tLzhnk55M/4uO/+geePHbI6vDOiCS6RnM5tWf43T7UrJ+0OksiXf76qHOJooW2\nozyOpA02tHVDXiHERNlqlk/NJZhG1xXd3rrV4mjOjnUtej9tKFc5cmdZYZhqlEeVE17UzD4yUxkJ\nWzSjV5rLRbMcoKdWV814bqIyTh8BJoMxhCOFW7K/S6xBb0Mr5FViLP0zqWqT5of3jqO0DQFwVefl\n1gazRKxv7+JvX/1B3tX3XtyZdlLOKb4/9C/81X3f4MBYaTQLl4JsLk9OiSPn3Thkh9XhnBXNagdC\nLvDsiQGrQzlvXjT6KZ+HI+jDaL5CKzgSHJ8JWB3OObF7IIDcMIlAsLVlo9XhnBW1zhqkvIuMEqoI\njdqCplEQadAknLLT6nDOmFVFzeyxaGVU/BNFzfJyaZEB2NS2EoAT0crYuACcmAsgBPhV+2s0Gwgh\n9GFAZ5zJ0NIO6ldl0pzN5Xl8YADZP8tKfx9dNeVdaV7IpX1r+N+v+Si/33ELarqBiDrMNw99kzvv\nv4fjM1NWh/c7TM7FEY4kblFeyRrAmoZ+APZPln/SHDYstL3l167U5dVbBJ45UR4nKwvZeXQYuSZE\nX21v2VX6AXyiAeFMMhSYszqU8yaVzoOSRdacZTXrsqGtF4DZTHluHBdychizTBRMADZ19EFBEMzb\n7z17royF9SH9Jnd5KFsZtDr1Vs/do0tb9a/KpHnXkQAZv34Uel3XlRZHUzpetXYrX3n1p7i+4Y3I\nWR8B+Qhf3vt/+OKO7zMbK40v+7lwbHYSIaBOLY8hg/lc2q33047Ey7+yEMvpPYTlYKG9kC1tawA4\nEiyNdWopCcfSjGT0Tdcl7eXVmmHQ4tKlqA5O2vdE60yJpbIIJYNK+VSZAZq99ZBXSUrBsm1Tmk+q\noCfN9WWiYALgVBw48vXkHCEiifKWgTWYSuhD+h015dM6CbCyoTTOgFWZNP927xBy0xh+1c/mpvVW\nh1NSJEnizVuv4B9e+Zdc4n0VIu9glP3c9djXGA3Zoyo0HNJ35c3uRosjOXt6GlsRWTdxeYp8GaqW\nzCeV149DW2rK5xjO4OKe1WgFiZlc+Q1l7jk6g9QwCQi2Nm+yOpxzotevDy8eD45aHMn5E02kEUoO\npygPfWADIQRurQ7NGScQKX/N7IymJ53lNAgI0KS2ISSN3cOV0dccShc1muvtr9E8ny0d+jDgRHJp\n25WqLmmemI1zPPM8Qs5zXfcVZSXtdD44FJV3X/oqvnzdp2ktrCPviPB3T33DFu0aUzG9Wb+zjOTm\n5uMXbaBkODhR3gmDYfRTV2Y9zQAu1YEr20jOESZgo1OUM+GZoyf01oyaXmrKxNRkIeuL5hpTSeuf\nJ+fLbEL//XHJ5ZU0AzQ6mhFC4/mJ8jfYyBUt5b1lotNssLJOvxcOBo5bHMnSEMvrA+Ir/M0WR3J2\n9DW2QM5BjKVtV6q6pPnhfaPILcPIKFzecYnV4ZiOx+Hi9uvfTRdbKDhi/MPOf+LwlHXVuam5BINz\n+vVXlZHc3Hx6a/RjoF2j5a0TnBcpRF4tG1mhhfR4+xEC/u6xe0hkyuNoNJnOcSyu92Ff2rE09sdW\nsLKpEzRBVJu1OpTzJpjQ25Q8SvklzZ0+/Rk6OFveG/iCplGQMoiCjCqXl2HXlk59GHA0Xt5rALpL\naVqKQUHC7yyvYsrJYUBHgsnw0g0DVlXSnM3leXxoP5IrySVt28pKTmgpkSSJT137DlbJF6M5Enxt\n793sPGb+UVK+UOCb9z2GaBzBJXnoKVPpvws7dBe0Y+EhawM5D7K5PJqSKisL7YV84BWvx5vpJOmY\n5HM7vkUqa38ZwOeOzSLqJ9BbM8pLNWM+iqSg5mrJOyIk0+Vt7BBKFvWBy0ij2WBNUxcA4/FJiyM5\nP+bCKVAyKJSfU++a5k7IK0S08rc0j6dy4Ejg0HxIovzSxZaTw4BHl+wzy++ncB7sOhIgW68nh9d3\nV+4A4JkgSRIfveatrHdcAWqKv3/y6+wyuQfrp48PMO1/AiFp/NGmd5Sd3JzB1hV9kHMwIx/lnx7/\neVk6MoZiKYSaxUH5biRdqoO7rv8T3Jl2Eo5x7nzwbtJZeydwTw0cR/KF6fGWb2uGQZ2sm2scnCi/\nvvL5nJjRq+VNNeWnIrOhvReAYK68FTT2Dc4ilGxZFrZkScadb0JzxpgKh60O57wYnQ0ilCyeMtJo\nns+qk8OAS9euVFVJ8wMHDiL75+j19dHha7M6HFvwp1e+ka3ua0FJ8y+H/sU0M5TBsTC/mfwlkivB\ndZ1Xs77xAlOuWwoUWeYtvW9D5BwcSD/K7fd/i3CyvAZxRoP6UGi5WWgvxO1wcOe1f4Ir3UrUMcJd\nO75DJmfPxDmbK3Ao/AIAr1hRvq0ZBoa5xuHp8lXQyOULJ5PmzrryG4itcXqQsh7ScqisFTR2D0wg\n5DyNZaScMZ82l17h3DlS3lKkJ4J6tbzOUX6KSgBbi60yY4mla5WpmqR5YjbOSOEAAK/uu9riaOzF\n+17xWq5t/j00Ocu9g9/jt0eeK+n10pk833zkl8iNE7Q6O3jT6ptKej0zuG7NZj61/cM40o2E1SE+\n+/BXODBeHsM4mqbxi1168tZWhsoZC/G5XHzu2g/iSDcRVof46wf/hVwhb3VYv8MLJ4Jo/nHQyrs1\nw2Blo26uMVLG5hpHRkJkZV2vvM5ZfpVmAC8NCDXN8Fx59pcnUjkGwrp0ZG/dCoujOTdWN/QCcGRm\nyNI4zpexiH5i0eIpL41mg56GZqRMDXHHKP/61H1L8plVkzQ/uO8YcuM4PtnPxqZ1VodjOz54/eu4\ntv51IPL8x4l/49cHd5fsWt/97U6STftQNAd/uu1dFaNg0tPYzBdf+VHaCxvIO6J88/lv8V97H7c6\nrEV56vlJxtRdAFzRV56SZwupdbu54+oPoqYbCKqDfP7Bf7Vd4my0ZnR5esq+NQNgU3sfADOZ8u3l\n3DMQQG6YQhEqK+v6rA7nnGhy6SoH5aqZfeD4LKJO78ne2lKez6OLunTd+InUuMWRnB8BQ6O5tryU\nMwwkSeIDm94FOQfPxh/kv/c+cf6fuQRx2Z5srsBTEzsRcoEbeq4sy4Z2M3jbtqt5dcubQBT42fi/\n8/Pnnl7ya+wemGRP9j6EXOCdG95KY5m5DC2GS3Vw+yvfzZX+1wIaO+Z+ypd2/MC2LQIaQd+NAAAg\nAElEQVTxVJZ/23s/ck2QdXXr2dxcObrl9V4fn73qgyjpembkI/ztju/Zpt+8UNB4bk4/+bqia5vF\n0SwNLb46yDlICHvov58tmqaxe/gYkivBpqZ1OMpMtcGgu1YfqD4eLM/e8j0D08j10/iUGnpru6wO\n55xYUd+IyLqIi4BtnjlnSzqTZySkb4D7m8q3nXVjZw+3rroNCjIPzPyMHYf3ndfnVUX2uPPwFPmG\n40goXNlZfTJzZ8MbN1/GGzreBsCvpv6b/9zz6JJ9djSR4V/3/ReSJ8aF9dvZ3rZlyT7bbrzjomt5\n39r3IWW8jLCPv3rgHxm3iZnMfP7t4X3kW19Axck7N7zZ6nCWnEZfLZ++4oPIaT9T0gt86bfft8VL\n7Nh4hJxvDDTBhWVaTVuIEAJ3oQEcCWaiUavDOWtGA3GiDr2lqpzXZG2LPvw0mSg/zexcvsD+qSMI\nJctFrZvKusDlowXUNMdny/Pk5f7dQxRqxpFR6KwpL2OThVzev5bXd7wZ0Piv4R+fl+hB+f5GngW/\nPvQMkjPFtqYL8ajlK6llFq9ZfxFv7b4FNJkdcz/n3mcfPO/P1DSNbzz4GwoNJ6gRjbx785uWIFJ7\nc2FXP3de+XF8mRWkHNP8zdNf5dHBg1aHdZKjoyF2JR5EyHnedsEb8DvLc+hmMVpr/fzlK/4EKVPD\nmDjAlx/6keWJ8xNHjiH5wnS6e8rO8ex0NDr0Y9wD40PWBnIO7B0IINdPISOzoXGt1eGcM2tbV6AV\nBOF8+fU0D4yGydXoLQ3lvHEB6PToLpk/f8H+LXoLSWfy3HfsEYQjwzWdV+JSystS/uW4acN2rqp7\nDcg5/uWF/8uRqXNrnan4pHlyLsGUrCcqN61cHgA8U65bs5lb+9+JyKs8Fb2Pbzz6k/NqMfjNvsOM\nOJ9AFGQ+vP0Pyk6w/lxp9Pn4mxv/lAuUy9CUFD88/l3ueepXlidt+UKB7zzxG2T/LD2efl7Rsd3S\neEpNR10Dn7zkT5AyXobZy1cf/U/LYtE0jb2B/QBcWSGtGQZdNXprwMDsiMWRnD07h44heWKsbVhT\n1kmCQ1FRcrVk1RCHJ8vLYENvzZjCLXnKtqfc4MY1l0BOZSD3NH/9wL/aXv5yPr/ZfYx801EUHNzU\nf53V4SwZ79h+HZucV4Ga5mt7vnNOp78VnzT/cu9+5Nog7Y4e2rzlfcRgNlesXMcfXvAHkHPwQvZJ\nPnn/l3nk6PNn/TkTc1F+OvLfCCXH7/e9gY4yP+o5WxRJ5sNX/y/e2HEzoqCyJ/FbPvfAd4imkpbF\n9ItnDhOt24ukKbx369sRQlgWi1l0NzTxse1/jMh4GMzv5GuP/LclcYzPxEm6R0ETbGsr72raQta2\n6BbCz4efI5YqD1dGgGA0zUReV2yohLaxC+svRkgFvr73nxm1YVvYy6FpGrtGDyPUDFtbNpZ1awbA\nBa2dfGTLnyJnapmSXuCvHvhHJsNBq8NalHQ2z2+GHkIoWV7ZfW3Fnc7/8RWvp0dsRXPE+bsn7yYY\nPzt52PL+rVyEbK7A7rlnAXj9msrZLZnJ9p7VfOaSj9GQW0XOGeLHw9/ljt98h/EzvPkLBY1/fOzf\nEd4Qvc613NB/WYkjti+vXreNT2z7M9R0A3PKIH/10N/xNw9+j189v9NU2+fZcJL7xn+JUHK8oe8m\nGlzlqcF5LvQ1tfKRC9+PyLo5nHuKf3rsZ6bH8NjhQSRfmHZnd1m6zp2ObV391GS7yTpn+euH7G8u\nY7Dv6Axy/SQCiU0VoK70h5feSK+4EM0R58tPfotgPGZ1SIsyPhMnVuwpv6hts8XRLA1rWjv4/DUf\npSbTRdo5zRee/EfTTcTOlvt2HyXfeAwHbm6sUHneT1xzM4251eScQb7w6LdIZs7cPbaik+YnDp2g\nUDeGm1o2NZdvj5rVdNQ18Pkb389bVrwTOe1nVhngb57+39zz1K/I5U8v4/W9Jx8l6juMI1/Dhy65\npSoqmqejr6mVL97wMdoLGyjIacbFAX4x9e984uG7eM8P/oZvP/E/HCrxkeq3Hn4AUTdFs9LJDX1X\nlPRadmR1awcf2vI+yLo4kHmML+6496wemufLrqnKbM0AXeLpc9e9H3emjbhjjL/ecc+izwg78Myx\n40jeKKtqV+JWKqOy9vFr3k5zfg05Z4gvPHK3qb/j54Ih9+cQTtbUrbQ6nCXD7/byhRs/yEp5O5oj\nwT8fvof/2vuY1WG9LOlsnvtPPISQ87ym93qcZerSuxiSJHH79X9QnDea4vO/veeMJUnlO++8887S\nhnd+/PlPvkouK7Oquf2s/+13nvwFadcUN3Rex9qm/hJEVzl4vU4SidM/VPsaW7mh7xWMT2aZyo0w\nmT/GA0d245eb6apv+p2///zoOP9v7IcIAR/c+ke01/zu36lGVFnm6v6tXN91Nc5MC/GoIJ6Lk1Zn\nmMqd4JnA0/z68BPsHjpBJJGho7YRh6IsybWfPDTMY7GfIUnw8UveXxH6wOdCk6+WHnc/uycOEpZH\n2TGwm053F621dWd0L5wrs+EUvx75FULN8O6Nbytb6/jTocoyl3Vu5dHB54g7xtl9bJSr+7ae1Ya5\nlGuwkFQmxw/3PIhUO8tNfTfQVdNpynVLjRCCy3s28fjAAAnnOE8dHeTavouQpDOrlZm5BgA/ePxp\nkrVH2dq8pWIqzQaSkHhF7wZSYTfHEwMMpQ9x6MQcl3SvW7QNxcx1+J9nDzEgP4xLeHn/1luRy7xF\n5nTIkswrVmzhkaPPkXCMs/fYBFf1bkYIgdd76pkG2yfN9x78N47EDrBrcJSt7WtwqWf2khmbjfKb\nqZ8hCcEfb7sNVVqapKNSOdMbU5ZktndfwKb6LRwcnSDhmGB/cA/PDg6zrnklPqcLgHQ2y5ee+A6a\nM8oVjTdw3cqLSv0tlB2qrG8Gr+rfwmtXXcNlnZcQnlGJxnOk5CAxeYqj8YPcf+JhfnvkOYZnQmxo\n7UWRz80MJp3J85Un7kXzBLm+/QYu7qysF9PZ0lJbx5Wdl7L/xDgxdYydgV2MT2W4YvV6ksnStBXc\nv/8Qx3iGVrWbV/VfWZJr2AGnqnJx+2YePbafqDrGgaEAl/dsPOPE2cxEYd/RGfbEH0FyZLh13Vsq\naiMjSzJXdG/hkYEDJJzj7Dk+zlW9W85oHcxcg3AszU9e2IFUE+KNq15Nq6c8zTQWY31bN+1qH3sn\nXyAoDfP4kSNc3LnxtHmNWeuQyeb51rP/CZ4Qv9//e6yq7yn5Na3GoShc1L6JR4/vJaqMcnQ0wmU9\n68s7aXYnWnl+epCoMsaOY8/iytfTdwZC29976iFm5AHWerdwRfeFJkRa3pztjel3e7h+5XZcmRYG\nZk8QU8d5ePgppmfybOro5f88/F8E1aPUF3r48Cturvq2jDOhp62ZCxq6edWqS7mh+2o8uTbiUYl4\nNkHGMctkdogHB3bT6uyg3X/2pjDfefghply7qaGZP91+a9kP2iwFTlXl2pXbSIU9DMUGmSwc49f7\n97OucTW1rqU/pr935/2knFPc2H0d/fXladxwpngcTrY0b+DxE3sJyyMMjka5rOfMzHPMTNh++vTz\nBLx76PH2cV335aZc00xUWWF7+yYeObaPqDrKwEiYV/RuWPTfmbkGTx+c4vn8I6iK4JZ1b6noCme7\nv4FtzVt4eugICecEDx3bw8qaVTT6Xl7y06x1+NnOgxyVHsUj/Lx3y9ur5v3gdThZX7+OJ0b3MCtO\nMD1V4IoLTv2csn3S3OCo4druyzg0PEdIGuFg5Dn2Hp/gwo41OJWXly3L5gp8/+B/giPFB7beRo2z\nsoZtSsG53pj9TW1c3/MKRibTTOdGmMgNcv/hXQTl40g5N5++8k/wOMpXvslM5q+BIsusbGrjyr7N\n3LTqatbXbObw2Ix+3D2zm6OjEbZ1rj5jC/KjE7P8dPzHCCnPhy96Lw1ufym/lbJjfVs3G+s2s3vk\nGAl1nMdGnkFLelnTsmLJrhFLZvnZ8V8g1Azv2Xxz2TrOnQ01Ljfr6tby5OheZsUQYxOZkxbDp8Os\nRKFQ0Pjesw9CTYDX9F1HT5k60C2Gx+FkQ+N6nhjew5x0gsmpPNtWrDrtvzEzaf73J3cR8b7AhvoN\nXNpR+UUun8vNtb0Xs29okqgyytMTu3BkG1n5MgVBM9Yhk81z985/B3eEt67+fXrrKqNF6Uyp83jp\ndvezc2ofY7mjvG3j6075d22fNCcSGVRZ5sq+TdQWOnlh5igRZZQdgzvx0URPQ8vv/JtfP7efgdwz\nNNDFG9deb0HU5cf53JiKLHNJ91o21m3hwOg4ScckIHhH/y1c0Lp0SUelc7o1qPf4uG7lRRRitQxG\nBpkVJ9hxZC8d7hW01tad9nMLmsaXHvoeOXeAi+qu4Pr+i0sRftlT5/Fyff8lBOYKjKePcTRxkF2D\no1zUsW5Jesp3PH+EgfzTNMvd3LiyegYw6z0+er2reHZiH1PaIKFZmc0dp9fgNSthGxgN8/jcDiRH\nitvWvxWnXLkbfL/bQ693Jc9O7mU8d5RUxM36tu5T/n2z1iCdzfOjffcjfEHeuOrVVSMNq8gy1/Rv\nZWqqwHh2kEPRA4xNZriwc9VLTmbNWIf/9+xzDEqPUyMa+MMtb6nKk+GW2jrqaOe5ued426bXnvLv\nlUXSbNDT0MzVKy7lheEZwvIoB8L7eG5omm2da1DlF19q9+z6b7JqiDf1v4Huuuq4Ac+Xpbgx6zxe\nblh1Mb5cG2trNnLt6srSoC01Z7IGF7Su4OKWi9g/PEbcMc7OwC6GxmNs61x9ygGf/9z5DAPaEzjz\ndXzi8j+smmO3c0ESEjdu2UZtppP9kwN6W9jgTpqVDjrrGs/rs7+/834S6iTXr7iG1Y2nTlYqkeYa\nP22OHvZM72c4M0A66mVd26mrumYlbL/cdYQxxzN0uFbwqgqV15pPc42fRqmTfbP7OZ48jDPTTP8p\n2h3NWoPnBmfZFd+BrGrctu4tZ3x6VilcuGIVnlwbLwRfYKpwjCcHBtnUsgZvcT6o1OuQyea5e/eP\nwBXj5jX/iy7/2YsuVArdDc20qX2s6jh1C3BZJc2gN25f1b8FT66NQ7ODhOURHjy6kzqpla76Jo5O\nTfHw7K9R87W8b1t17pjOhaW8MXsbW0/5IF7m1JzpGnidLq5fub3Yh3uMgDbEjiN76fb10Fzz0raL\nmUiM/3v4e2hylvdteDfttcsKJovh9Trxq16uWnEJB05MEf3/7d15fJTlvffxz0z2jSwkBLKRnTRA\nCGETkEUELLgcQKA9VfDUI770aUGlIgfFrZaC0D4Wl+PpU9p6UNxKlaNtRYiICIhhDSRAWBIIWYAk\nQFayzczzByUHFRwSkrknk+/7HwzMzP3LfJ17fnPNdV+XezF7K/ZyoqSOjKikNn3oaGiy8MHxjzG5\nNzJnwL92mR0xrxQRGEI3Wy9yzh8gv+4w7g3dr7kqkqMattVfZ2LxP8PE2DHEB7n+hU8AUcGhuDWE\nkFedy+HKQ/Rwi7nqB0JHZfDhzmzKvQ+Q4J/MzdGuvTPptcR1DyelWyq7TuVR51nKFyezaL7oS0p4\nVIfn8MGuvZww76AbPZidNrXL90wRgSGd+0LAa/3PEtc9nJsjh5FbeJZq92L2n9/HwZPl5Jw+TrX5\nNIODbiY98vvnbMn/cvTyQvJdrc0gtWcMg0IHsq/wFHWepWSd3cWp0nrSoxJaGrvlm9+hzrOEJK+B\n/Etf1x9Jaw+Xc/B0d2dMfDq22kCOVR6njAI25+WQHJxAsG/rlurbmneMgw1f0d0Uw8TErjM149t6\nh4S1NGx5VYcIsPW66hQ7R5yPSitq2ViyEbPXRe5NnYG3u3eHHs+ZJIb1ouaCJyca8sguyyUxoA+h\n/t2+cRtHZGC12Xhz90ZsfhXcmTCByICuO8oZ4ufPuLhhnCiuo9xWSP7FQ+w4WsDQ2L6YLB3TyDY1\nW/j9vnfAs5ZZP5hJrwDXXLWktVyyaYZLV76PiU/HsyGMI+eOc8HtFFWmM2BxZ97Q2Xhe40JB+S41\nzcZrSwb+3j6MTxxK7XkvTtbmc9ZWwOd5+4ntFktOUSFZtZm4N/vz5Kg5uLtp2cXr8e0ckntEMjA0\nnT0nC7joVcq2kp2UnG1gQGT8dY86v7V7IzVupYzuOZo+YV1jRPNaEsN60VDtR/7Fw+Sey6WnRywR\n31oNxhHno8+y88k3byfUoxeTEsZ26LGcUb9esRSfbuSM7ThZxTmkhaZ9Y8UYR2SQX1rF1oqNmN0t\n3Js6vcsvDetmdmNY7x8Q4ZHA/tJj1HqW8MmhbdDgT1KP9r847y9ZWZw07SKICO5Ju7PdH7+z+r6m\n2SUmN05ISeeFUQvoYekDQKx7Gv5errGrk8j1mJkxmkVDf4F/YzQNXmWs3P8qfzn5F0wmmJE4FW8P\n173AyREigkJYNnEuQ/zGY7KZ2HdxMws+/Q37ik7Yva/FaqXUcgxsJsYlut4ugG0xbcAIRnSbCO5N\n/OnQGxwsPeXwGnaW7sdkgmERAxx+bGfx4IjbiTVltGy3XVJ53qHH337kGGbfGqJ9YvHpQiP99gyM\njmf5+AUkuA3B6lbP38/8hec2ruJ8bW27HaOxqZmtZZsB+HHfa68WId/UqUear+Tj6cnYhAz6Bw5k\nYsogXezUShppNt6NZtDN24db44dQdc6DUxcLwKOBcGsKswf/sB2rdH3XysFkMpEelcCA4AHsP1VE\nnWcpu8t2kXfqPOkRSXhcY9OZr4/ls79uO0G2aCYlue6GJq2VFhlPcemlkc6dpdn0cI9umVvb0eej\nqrpGPjq2HrN3HfemTsfXo+sOsgzvncru46eo9ihma+FuwtyjiAzq7pD3hDd3baTZp4zJcbcSE9i1\nljmzx93NjeGxfUkITGH3qcPUeJTw+YksPJoCSWjDDsnf9t7Oryg07aM7Mfy4v94jruSy0zOuJtDH\nVw1zG6hpNl57ZGAymegfEUe/oDTqq715YOgdmqbUSvZy6Objy/jEoTRV+5NfVcB5UyGZx3bibwul\nd/fvzs99e28mlaYSRvQYRWp4bAdW3vkMik7mVEkDZ6z57KvYj1tDEIlhER1+Ptqae5LDli8Jcgvj\nzqTxHXaczsBkMjE6Lp1jp6qoMJ1kb3k2dVVeDElI6tAMzl64yIbi9Ze2lO87s0teHHs9ftA7imFh\nGRw5dZ7zpiLy/rlD8sBeKXh5tO05a2xqZlXOGvBo4IH+9xLq9/3LlnY1XapplrZR02y89swgyNeP\ngVGJapjb4HpzSAmPZkSvIeSeOku1WzE5ldnszi8iLTwJH89L2+LabDbezVsH5kYezPhXvNxdZ4vm\n9jI4Jpm6Sm9OXMwjrzqX8xVmhieldOj56O2dX1DjdYoRPYeTGqYLxk0mEzfFptJU5cfx2iOcbDhM\n9tGzDI5K6bBBqI3ZRyggi56evRkf13UvjrXHz8+LxnoLI+P6E0w0uWePUeNezKb8LHysIcR1b/2y\numt2bqGIHMKIZ3q/rv2h8Wpcfk6ziIgRgv38eWb8T/lxzH24NQVwxnyIxVuXs27/VwDsLTyBzbuK\nbtZIumln0muaMXAU06N/gsnqzlfVn/LCx29htVo75FiNTRZKmo8BMKq35phfacqAEcxJmYOp0Zcj\njTt5asNr7TqP9kq7SrMBuCkyvUMe3xWNiE/hxXELiCINq0cdfzn1Fos+fZU3d2ZSdOHcdT1GQ1MT\nWee/xGaDWQN08V9rdfhIc3Z2NgsWLGDatGkUFhby8MMP8+GHH3LgwAHGjh1r9/4a/XQMjTQbTxk4\nh7bk0Lt7D26JGc7x4irO2U6Rf/EQW4/kUXCulFpzGUNDRtKv1/fvgtfVxYX2JNIzjr1ncjljzWdP\nfjEje6ddc9Oettp9vJR99ZvxNwUxNfm2dn1sV9ArMJhBPQay8+RRaj1L+KJgL3H+8d9Zku5G1NY3\n8T/5/8Dk0cC/9Z+Jl5u+gbmWb5+PPNzcGRWXRoAlgkPl+dR7llHUeJytpVvZcHgnOUVFNDZBZGDI\nVTeKeTPrc0psh+hlSmZK37EO/E06D8NGmletWsXixYtpamoCYOnSpcyfP5+33ro0ipCZmdmRhxcR\ncRgfT0/mj5nJgykP49nQnSqPQs64HcRmNXNbStfctKG10qPjWTD457g3BnLGfIinNv4nNfX17XqM\nLwuyMZmt9O/er10f15WEdwvk//3oSXpZ+2LxrOKV/a+z/uCednv8r4+cwOx/gRC3XgR4tm7Nc7lk\ndFJfVk58igeSHiLVcwTeDeE0eVRywraXtUVv8tjnz7Lo09f476yNnKwoA6C+sYndlVuxWU3MTtco\nc1t0aNPcu3dvXnvttZafc3NzGTz40pvH6NGj+eqrrzry8CIiDpceFcuK2x5noM9YbBZ3ulvjCPYN\nMLqsTqN39zBW/suTeDeEU+N5isWfr+RMVWW7PLbVZqOgLg+AW+L0Qeb7eHp4sHj8fQz1m4DN3MxH\npe/xX9v+1i7TZrYXXZqaMSg87YYfqyszm80MjI7nZzdP4beTfsHSkc8wIXQqPSwpmKweVHmcJKtm\nI8uzVzBv/RKe3fQ6Ns86Is2p9A5p/VxogQ5dSXzChAkUFxe3/Gyz2Vr+28/Pj+rq6o48vIiIIdzN\nbjwwfDLNFn393xZh3bqxZPxcXtj0Ry54FfCr7SuZO/ABksMjbuhxjxZXYPU/i7e1G5EBPdupWtd2\n37AJxB2N4L38dznQsIXnMktZNPa+lotdW6vZYqX0n3PKx8QNas9Su7xAHz+mpA1nCsOxWq3klp5i\na0E2x2uOUed+lhpzJTarmdmDtC5zWzl0+50r56bV1tbSrVv7zZESEXE27tdYu1ns8/bw5PkJD/Kb\nze9yyjOblfteZ1byvdwU16fNj7np2F5MbhZSAlIxmTpma2JXNDqpL9HBP+d3O/9EhddRFn32Eo8P\n+3eiQkJb/Vh7TxRj8ztHN1sPgr0DO6BagUv9Vv/I3vSPvLQDadXFi2w5foDuvt2IDu5ucHWdl0Ob\n5tTUVHbu3MmQIUPYsmULN910k937BAf74u6uNx5HCAvTV8hGUwbOQTkY73IGv/3RQ/xm/Vq+vvAZ\nq4+9QT0/ZsbQtm0Sc7T6MPjB3YNGK+PrcOVzFBYWwO/jnuaJD1+jwus4y3a+zKx+P+GO9CGteswd\nX/xzJ8bIgcrgOrXH8xRGAAkxt7ZDNV2bQ5vmhQsX8vTTT9PU1ERCQgI//KH9XWjOn69zQGUSFhZA\nWZmmyxhJGTgH5WC8b2dw36Db8N/nx2flf+P9/LfJP1PKvw2d2KqVNUrOVVHvXYKHxY8QU3dlbMe1\nXgfPjZvDa9v+h0O2r1id9yc2Hv6aR0bOJMDb/q6KNpuNI5WHwB9GRA1QBtdB5yPH+74PKR3eNEdG\nRvLuu+8CEBsby5tvvtnRhxQRERdzd/rNhB4N5P2Cd9ldt4ncT3O5r//dpEXFXtf9M/P2YXKzkODd\nR1MzboDZbGbuqKl8eawP7x9bS6lnLk9uXs6MhOmMTur7vfc9droci28ZvpbuhPu1fmqHiNG0uYmI\niHQKY5L688iAn+HbGEG91xn+6/DrLNu0hsqL9jfgyDmXA8DYeK2a0R5GJaaydOwTRNr6Y/Go5d3C\n/2bppreoa7z2EoGfHd2FyWwjJfAHDqxUpP2oaRYRkU4jOTyCFyfOY0LoVMwWb06RzZNbXmTt3i+v\nuRxaZd1FajyKMDf70C883sEVuy5/b2+evHUWM6JnYW7yo4j9LNy0gu35h696+yPVl/5+QlLr5kGL\nOAs1zSIi0qmYzWampA1n6Zj/INaUgc2tgc/Pf8wTn/6OnJLC79z+s8PZmNybifZKxGzS2157uyW5\nP78e8wQ9ralYPat5q+DPLP/8HS42/u9OdqUXKqn3Oo1HUyC9g3sZWK1I2+nsISIinVKAtw8Lbvkx\nP+/7c3wae3HR6zT/efA1ln/+DtUXL7bcbs/ZAwDc3DvDqFJdXjcfH54e/29MifgJ5iYfTtr2snDT\ncrIKjgCwMW83JrONBP+2LxkoYjQ1zSIi0qml9opm+cRHGBdyF2aLNydte1m0ZRkfZG+nobmJc6aT\n0OzFsJgUo0t1eRNS0nlh1AJ6WPpg8azijeN/5P9+8T4H/jmnfFy8pmZI56WmWUREOj2z2czd6Tfz\n69H/QQzpWN3q+axiHU9s/A0mj0Z6usXjZtaa/44Q7OfHsxP+nTvCZ2KyeHHcsos6ryLMjf6k9owx\nujyRNlPTLCIiLqObjw8Lx/2Eh3/wf/BuCKfZ6zwAwyIGGFxZ1zOp72B+OfIJujcnAZDk10/L/Umn\n5tDNTURERByhf2RvVvR6jA+yt1FcfZZxfdQ0G6G7vz+/nDiHkxVlRAaHGF2OyA1R0ywiIi7JbDYz\nfeAoo8sQoHf3MKNLELlhmp4hIiIiImKHmmYRERERETvUNIuIiIiI2KGmWURERETEDjXNIiIiIiJ2\nqGkWEREREbFDTbOIiIiIiB1qmkVERERE7FDTLCIiIiJih5pmERERERE71DSLiIiIiNihpllERERE\nxA41zSIiIiIidqhpFhERERGxQ02ziIiIiIgdappFREREROxQ0ywiIiIiYoeaZhERERERO9Q0i4iI\niIjYoaZZRERERMQONc0iIiIiInaoaRYRERERsUNNs4iIiIiIHWqaRURERETsUNMsIiIiImKHmmYR\nERERETvUNIuIiIiI2OHu6APabDaee+458vLy8PT0ZMmSJURHRzu6DBERERGR6+bwkebMzEwaGxt5\n9913+cUvfsHSpUsdXYKIiIiISKs4vGnevXs3o0aNAmDAgAHk5OQ4ugQRERERkVZxeNNcU1NDQEBA\ny8/u7u5YrVZHlyEiIiIict0cPqfZ39+f2tralp+tVitm87V797CwgGv+m7QvPdfGUwbOQTkYTxkY\nTxk4B+XgPBw+0pyRkcEXX3wBwL59+0hOTnZ0CSIiIiIirWKy2Ww2Rx7wytUzAA1/YNMAAA2fSURB\nVJYuXUpcXJwjSxARERERaRWHN80iIiIiIp2NNjcREREREbFDTbOIiIiIiB1qmkVERERE7FDT3IVk\nZ2dTWVlpdBldmjJwDsrBeMrAOSgH4ymDzsPtueeee87oIqRjHT9+nGeeeYYdO3ZgsVjo2bMnvr6+\nRpfVpSgD56AcjKcMnINyMJ4y6Hw00twFrF+/njFjxvDqq6/i5eWFj4+P0SV1OcrAOSgH4ykD56Ac\njKcMOh+H7wgojnHkyBGSk5OpqamhtrYWk8nEo48+SmBgINu3byctLY1Zs2YZXaZLUwbOQTkYTxk4\nB+VgPGXQuWmk2QXt2bOHOXPm0NTU1LJt+aZNm7jnnntYunQps2bN4v3336eqqsroUl2WMnAOysF4\nysA5KAfjKYPOT02zi6mtreXvf/87NTU1rFixAoDZs2dz5MgR6uvrAUhLS2PgwIHU1dUZWarLUgbO\nQTkYTxk4B+VgPGXgGjQ9o5Orq6tjy5YtJCYmkpiYSENDA8nJyWzatIk77riDmTNnkpiYyJ133smG\nDRuorq7m6NGjFBcXExISYnT5LkEZOAflYDxl4ByUg/GUgWvS6hmd2N69e3nooYcwm8188skn+Pj4\n0KdPH0JCQujRowe1tbW89957TJkyhYyMDHx8fNixYwf+/v48/fTTeHt7G/0rdHrKwDkoB+MpA+eg\nHIynDFyXyWaz2YwuQtpmzZo1BAcHM3nyZDIzM9m/fz8pKSlMnjy55Ta33347P/vZz1r+rrm5GXd3\nfcHQXpSBc1AOxlMGzkE5GE8ZuC7Nae5EioqKWLRoEWvWrKGoqIiGhgY+++wzAIYPH05sbCx5eXlU\nVFS03GfOnDl88MEHLT/rRXljlIFzUA7GUwbOQTkYTxl0HWqaO4lt27bx+OOP069fP9zd3Zk3bx4z\nZsyguLiYgwcP4ufnR3x8PBUVFTQ3N7fcb8qUKaxatcrAyl2HMnAOysF4ysA5KAfjKYOuRU1zJ3H2\n7FnGjx/PPffcw/Tp00lISMDNzY1Jkybxu9/9DoD09HTKyspoampquZ9m37QfZWCsy8+jcjCeMnAO\nysE4Oh91TWqaOwkfHx9uueUWAHJycjh37hweHh7cd999VFVVsWLFCmbNmkXPnj0JCgpquZ/JZDKq\nZJejDIx1+XlUDsZTBs5BORhH56OuSRcCOpmysjJ27tzJgAEDiIyMvOptlixZQnR0NLNnzwagoaGB\nnJwczp8/z/jx4x1ZrktSBs6hpqaGo0ePkpqaipeXF1arFbP5m5/zlUPHKi8v57333mPkyJHExsZ+\n403/MmXQ8crKyti2bRsZGRnExMRc9TbKoWM1NDTwzjvvMHr0aOLj46964Z4ycH0aaXYin3zyCffe\ney8HDhzglVdeYcOGDVf9CqepqYlJkyaxevVq7r//fmpraxk0aJBelO0gMzOT2bNns2fPHpYtW8aW\nLVuUgUE2bNjAq6++SlFREcB3GmZQDh1pw4YNPPjgg1RVVfHxxx+zbt26q95OGXSsy+ekffv28atf\n/YoTJ05c9XbKoWPl5eXx/vvv849//AO4+oV7ysD16XJNJ9HY2Mju3btZtmwZAwcOJDMzky1bthAS\nEsLgwYOx2WyYTCYqKyv58MMPycnJISMjg2XLlmkh9HZ06NAhfv3rXzNw4EA++ugjvv76a8xmMzff\nfLMycKCamhr+9re/UVZWRlZWFqGhoQQGBn7jNsqh49hsNrZu3crSpUvp06cPH3zwASUlJQDfGPFX\nBh1vx44dLFu2jAEDBvDII4+QnZ1NbGwsgM5JDmS1WklPT6ekpISsrCyGDh0KKIOuRpubGKimpoZV\nq1aRmpqKj48Pq1evxmKxMGTIEIKCgli3bh02m41+/frh4eEBQG5uLufOneOJJ55g2rRp+Pn5Gfxb\ndG6HDh1i+fLlXLhwgaioKD7//HOKi4sZMWIEYWFhnDlzhpMnT9K/f39l0IGuzMHf358ePXoQGhrK\n2LFj+fLLL+nZsye9evX6xn2UQ/u6nMH58+eJjY3l6NGjREdHEx4ezuHDh8nNzWXChAnfmIupDNrf\nla+F6OhoioqK6NOnDxaLhd///veYTCYqKiqIiopq2QRDObSvyxlUVlbi7+9PUFAQmZmZREREkJ6e\nzttvv82FCxfo06dPy4izMugaNKfZQLt27eKFF15g9uzZ3H333eTm5vLwww/zzDPPsGvXLi5evEi3\nbt2YO3cuHh4eunCgna1bt461a9cyc+ZMCgsLOXjwIE8//TTz5s3j9ddfJzQ0lC1btrB582bmz5+P\nn5+fMugAV+ZQVFREVlYWb7zxBpWVlQQGBrJy5Uo8PDyYMWMGYWFhLSM70n6+/VrIzs7mD3/4A3Bp\nJO3xxx/nrrvuYsyYMdqEoQN9O4e9e/fyxz/+EYCCggIOHTpEcHAwH330ERMmTGDcuHEGV+x6rsyg\nuLiY7du38+abb/L6669zyy23sHbtWtavX8+dd97JwoUL9XroYjSn2SCXt9FMTU1l27ZtFBQU0Ldv\nX5YsWUJJSQkpKSnMnz+f8vJympub1SS0o8ufE8vLy5k2bRp33XUXP/rRjwgODiYsLIyhQ4fy29/+\nFoDBgwdTUlKiRq0DXC2HGTNmEBUVRUNDQ8t0jKlTp3Ly5En27dun10I7u9ZrITw8nIaGBuDSklr+\n/v6MGTOGNWvWsGrVKmpqaows2+VcK4eIiAjq6+sBiIuLY/LkyQwbNgyz2UxSUpKRJbucq2Uwffp0\noqOjAThx4gSPPfYYwcHBPPvssxQWFlJRUaGGuYtR2gbx8/Nj0qRJJCQk8Omnn7J27VoWLFjAqFGj\nKCwsxNPTk3nz5jFixAg8PT2NLtelXG66evToweDBgwHIyspqGTGYN28e06dPZ+XKlWzbto3hw4fj\n5eVlZMku6Vo5NDU1tTzfNpuNmJgYUlJSqKqqUsPczq4ng4MHD7J161YeeughAgMDmT9/Pv7+/obV\n7Iq+L4fLUzAeffRRkpOTycrKIiEhgeDgYH2Yb0fXysBqtWKxWLj77ruZP38+4eHhnD9/ntra2pYp\ne9J1aHqGA3x7qazLJ7rLf+7fv5/Vq1czc+ZMhg4dypEjR9ixYwe9e/dmzJgxBlbuOq7M4GpLl82b\nN4+pU6e2rLdZU1NDdnY2JpOJESNGOLxeV3U9OUybNo2xY8e2TM+41m2lbVqTQXNzMxs2bODFF1/k\nlVdeIS0tzYiSXVJrcgA4c+YMu3fvJigoSOekdnI9GUyZMoVx48ZRU1ODv78/FosFk8mk81EXpdQ7\nSGNjI7m5ucClpbKu3Ano2yMD8fHxZGRk8NZbbwGQnJzM7Nmz1TDfoGtl8O2TXX19PYGBgQwaNIiX\nX365ZQ75yJEj9ebUDlqbQ0ZGBi+//DKLFy+msbHxqreV1mlrBo899hhjx47liy++UMPcDtqaw9y5\ncwkODmby5Mk6J92g1mYwePBgXn75ZRYtWkRDQwNubm46H3VhWj2jg2zZsoWVK1dy6623sn79elas\nWEFdXR02m43w8PBvfKr19PTE19eXwMBAEhISMJlM+sqtHdjLwGKxYDabKSws5KmnnmLnzp1ERUWx\ncOFCfHx8jC7fZdxIDpe/mpYbcyMZ+Pr6Gl2+y9BrwXh6X5Aboaa5HdlstpZmOC4ujj179vDxxx9T\nU1PDPffcQ3l5OevWr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azYY6BweODdM5OCFBszhTup553ZygeTA4zDeOPYoGfHDXLTTYVyY70+isQEup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FOYHvgj0qpz2bne2swzy1JYX7+Z5JgkZmRN07VNw11ynJW81Oh8QjIUEzICHbf6Lv0X9XlzXTU+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\nQ1MIIUa6xeUXYHQlY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sdsiK6mp9NFBJ1pib56g+wzCQl0vHTDU0mUNZJpiRJhcxkLZBdnGzofnlx4w0\nzVXD4zI03agfSCel6amhvI3dDLf7F5efi107mlVQNFfvCgDsZmOHOXn4+I2GANBpZaQZSJN7GEjb\n4OpkQ2akaY47XKf1nYkb3OyRFXf7FwPlQFoQeCwapesGiorm6kZDAEin2M2mWTONBzd1tXG6IbmP\ngbQNrm42ZEaa5riBOh07TOxdbE+lRtq9IE4QBKQTrFlvlBcXM0AlWcOMdOPysjnVcIbSDjMjzdIO\nchEDaRvcnWzIgSw0tzUcSCe4wc2OgrVnw+Ugjps/G+bmvplqvEvTPPOiIzPD5yEuxdCWkjDO0g5y\nkeeB9I4dO7B+/XoAwCuvvILrr78eH/nIR3DjjTdiZGQEALB161Zce+21WLt2LbZv3+71khyr9JF2\nb7IhN1nRXHVkJA8BwPzu9KyPY9Bgj5sDoqqlkxLyvKhpSMGDzikAPxN2zFbaAZRb4LG0g9zk7qf+\nOJs2bcK2bdvQ1tYGALj77rvxhS98AWeeeSZ+8IMf4F/+5V/wF3/xF9i8eTMeeughyLKM6667DitX\nrkQ8XrtNVtAKRQ3JeAyiKNR/cB3c1ENz3ZGRPHo6UkjEZw/02LvYHmvPhusZ6RjkogrdMCAKzs91\nc5l1l5IZ6cDVGg9u6mxL4NBQDiVVR1ziTXlyztN30dKlS3H//fdbf964cSPOPPNMAICqqkgkEti5\ncydWrFgBSZKQzWbR39+P3bt3e7ksx2RFdS37k+RkQ5rDCkUVY1MKFvbMno0GWCNtl5mR9iIbagAo\n8m5ZXQUXN6BXq3wmeAwalZulRhqo1EmPs5c0ucTTQHrVqlWIxSoBZ29vLwDghRdewIMPPogbbrgB\nU1NTaG9vtx6TyWQwOTnp5bIck13cnS0KAlLsn0tz1NHR6YmGPW11H8shIPYUPKrPZS/pxrnZErUa\nM9LNy9fJSHe1cbohucvT0o6Z/PSnP8W3vvUtfPvb30Z3dzey2Sympqasv8/lcujo6Kj7PN3dGUiS\nuyetRhVLGnq70+jra6//4Aa0peMoabprz+emMK4pilr1OLxyYBwAcNrJ3XV/h4XD5U2JohQL5e8b\nxjUBAKbLLpYs6kRf9+wbOpvR3VW+i5BqS4bqdw/TWkzSvvJ+n/m9WXfXJ5W/onUIofq9w7SW4xli\nOT+4ZGHHjOtcsrD8MyMmhvr3qKeV1z7X+BpIb9u2DVu3bsXmzZutYPncc8/FfffdB0VRUCwWsW/f\nPixbtqxf3MBbAAAgAElEQVTuc42O5r1e7ox03YCsaJAEAYOD7mTOE5KIyXzJtedzS19fe+jWFEWt\nfBx+93o5wMgmxbq/gzJ9S3ZoNBe63zfMx2BsQgYA5KdkDKruZfMF3QAAHDo8gUwsHDXSYT0OR4dz\nAIBSUXV1fWZ2dWyiEJrfO6zHwDQ0Wj4WSkGZcZ0xlN/Xbx4ax+kLWzMYDfsxmKtqXbz4Fkjruo67\n774bixcvxl/91V9BEARcfPHFuOmmm7B+/XqsW7cOhmFgw4YNSCQSfi2rad4MP5AwOFZw7fmIwsJq\nfddApjSdYD2oHZXJhm6XFZSfjz2M67N6ebtcXpNKxiCApR3NqJR2zFwjbZZ2sJc0ucXzQHrJkiXY\nsmULAODpp5+e8TFr1qzBmjVrvF6KK9xsfWdKJ2NQNYO7iGnOOTyShxQT0dORqvtY8+KUG2+bU1A0\nJOIiYqK75w7reLCLSl1eDWQRBQGpZIxtCJtgBdI1joW52XCCmw3JJYzamuTmVEMTh7LQXGQYBgZG\n8ljQk26oVaQZhDAD2hy5qLreLQLg8WhGwYMEiymdlPjd0IScrCKdrN2etpMZaXIZA+kmuTnV0GTu\ntmfnDppLxnMKZEVrqKwDKLeCFMCMdLMKiub6VEOAHSOaUSmv8eA4cFR7U/LFEjLJ2nMo0skYEpLI\nrh3kGgbSTfKktCPBW9o091j10fMaC6R5G9seWVGt+nI3pTksqmGV0g5vMtKFogbDMFx/7rkoL6s1\nW98BgCAI6MwmMMbSDnIJA+kmWeN43dxsyEEUNAcdmQ6kFzTRko23sZuj6TqUku56bS5QlZGWeWFT\nT6GoQgCQrDO90450UoJuGCiWeBzq0XQdsqLVHA9u6swmMZFToOu8OCHnGEg3ydOMNEs7aA4xA+mF\nPU0E0ryN3RQv9myYMhzZ3jB5urxG8GCUOqcbNq5exw5TV1sChgFMFkp+LIvmOAbSTfLiiyvFLyya\ngwZGpqcaNljaAfA2drM8rc1NsUa6UYWi6klZB8Ba9WaYG2NrdewwdVrTDVneQc4xkG5SJSPt3heX\nWYsoM+NAc8jhkTzaUhKy6dmzQ9VSyRh0w4BS0j1c2dxhnjM8qc1NMIBrlKxonlzMAAykm1FvPLjJ\nbIHHzh3kBgbSTfIkI51gRprmFlXTMTRWaCobDVQySWy51hjznOFFjbQoCkjGYzwWdRiGUc5Ie1Be\nA1Rt+uT3Q1256emo9Wuky4E0M9LkBgbSTapkgFzMSLMGjuaY4XEZmm403PrOlGJP9aZYm5+9CuKS\nMd4pq0PVdGi64UkLQqA6I83jUE/DNdLZ6V7SOWakyTkG0k3yYrMhgweaaw432frOxIx0c2QPM9Lm\n8/JYzM4McD3LSLO0o2ENl3a0MSNN7mEg3SRPJhsmWSNNc8uAjdZ3QKUVJD8LjbH6F3tUn5tJlruo\ncPNnbVZyxaOLGeviUmYgXY950VevtMPMSI8zI00uYCDdJC82G7JGmuYaO63vAGbfmlXp2uFdNlTT\nDZRUbv6spZKR9iaQNgN03rGsz6yRnm2yIQBkM3GIgsDphuSKup/8/fv3Y/v27XjjjTcgCAKWLl2K\nq6++GkuWLPFjfaFTUDTERAFxyb1rkEpGmidKmhsGRvIQAMzvTjf179gpojlWIO1RNjRVdWGT8GDY\nyFzgRblfNZY7Na7R0g5RENDRFscYSzvIBTXfbUePHsXdd9+NQ4cO4e1vfztOPvlkSJKEAwcO4FOf\n+hSWLFmCW2+9FQsXLvRzvYGTFc31ekQpJiImChzIQnPGkZE8ejpSTQdfzEg3x8vR1ACQMTdCKxo6\nPXmF1lfwYAN6tTQn3zbMDKTrlXYA5emGh4ZyMAzDk0E6FB0132333nsvbrrpJpx++ukz/v2rr76K\ne++9F1/5ylc8W1wYyYrqeuZBEITyIAoG0jQHFIoqxqYUvO2Unqb/bboqcKP6zODKq7ICXtjUV7Bq\npL25mLFKO7hvoK68WdrRQCDd1ZbAG0cmUSiqdbt8EM2mZn3CzTffXDOIBoCzzjorckE0UD6ZeXEL\nL5WI8cuK5oSjo9MTDZvcaAgwcGuWecHhdes1lhXUJnt8McPSjsblZBVxSURcqv8d3ckNh+SSmp/8\ntWvXIpPJYOXKlVi5ciUuueQSZLNZP9cWOoZheDbBKpWQMDxRcP15ifx2eCQHAFjQ01x9NMBAullW\n+zvPhoFMHw92jKjJ6/IaKSYiLon8TDQgX1QbykYDlRZ4Y1MKFs1r83JZNMfVfMc98cQTePPNN/Hc\nc8/hkUcewVe/+lV0d3fjsssuwzvf+U6cf/75fq4zFBRVh24YntzCMwcfsF6LWt3AyHRGuske0gAD\n6WbJRQ2i4O7m52o8HvUVPOjkdLz0dBtCml1eVtGeaaxMo4vTDckls37yTz75ZJx88sn4kz/5E0xM\nTODRRx/Fd77zHXzzm9/ESy+95NcaQ6PSQ9r9E2Y6KcEAUCx5k/Em8ovV+s5OaUeCNdLNKCgq0smY\nZxffViDN41GT19MlgfLngsdgdoZhIC+rDbfcNEs7xtgCjxyqGbGpqornn38eTzzxBH75y19ClmVc\ndtll+Ju/+Rtceumlfq4xNLxsc2Q+Z6HIQJpa25GRPKSYiJ7OVNP/Ni6VO9gw+9YYuah6er7IsGNE\nXVaNtEd16uZzj0wyczobWdGgG0bjpR1mRjrH/6/kTM133EUXXYQLLrgAq1evxte//nWcdNJJfq4r\nlGQPMw/HjglPuv78RH4wDAMDI3ks6ElDtJEltTrYMHBrSKGooafDu/NFOsXSjnoKirft78znLqk6\nVE2HFOMctZk02kPa1NU2vdmQGWlyqOYncu3atRgZGcGPfvQj/Md//Aeef/556Hq0p1t5MdXQVOkV\nytt31LrGcwpkRWt6omG1dJIdbBphGAYKiupZxw6gstmQHSNq83ogC8Ba9UaYUw3b6kw1NHW0mRlp\nBtLkTM0z8C233AIAGBgYwJNPPokHHngAt956K8444wy8853vxHXXXefbIsOi4OHu7PQxGWmi1jRg\nczR4tXRSwkSeHWzqUUo6DMO7tmtAJYDj1NXaCkUNcUn0NFNcPZSlPZPw7HVamdVTvcGMdFwS0ZaS\nON2QHKv7jluwYAHe9773YenSpXjhhRewbds27NixI5KBtJcZ6cooXmakqXUdng6kF9jYaGhKJyQU\nFQ26bkAU2cGmFqv1nUdt18rPzUxoPbKietZ+0JTm90NduSamGpq6skmMsvacHKr5jnvkkUfw4osv\n4vnnn8eBAwdw3nnn4R3veAc2btyIZcuW+bnG0Kh07fAiIx2bfg1+YVHrGpmQAQB9Xc1vNDRZWVCF\nE8dmU/DwfGQyM615BnA1FTze8AlwKEsjck1MNTR1ZhM4OJSDUtKQiHt7MURzV8133IMPPohLL70U\nt912G8455xyIIjc4eLrZkJkfmgMmcuUvMye3n80Ma56je2dlniu8D+JYsz6bgqJZ9bZesTaj8zjU\nZA4NyjRYIw0AnW2V6YZ9Xc0PkCICZtls+OEPfxgf//jHce6559YMoh999NG6L7Bjxw6sX78eAPDm\nm29i3bp1+PCHP4x/+Id/sB6zdetWXHvttVi7di22b9/e5K/gH083G1oZaWZ+qHVN5ssbdxodijCT\nSl0uPwuz8aPtGlC+yGcgPTPdMFBUNE/r1IFKlpUZ6drslXaYQ1m44ZDsqxlIHzx4EB/72Mfwgx/8\nAHv37kUul0OxWMS+ffvw4IMPYv369Thw4MCsT75p0ybcfvvtKJXKWap77rkHGzZswPe+9z3ouo5H\nHnkEQ0ND2Lx5M37wgx9g06ZNuPfee63Hh42Xo2CtjDRLO6iFTRZKEASgLe08kGbQMDtr87MP9bk8\nL82s6EPru+rn5wVNbc22vwMqQ1nYS5qcqPmOW79+Pd7znvfggQcewGc+8xm88cYbEEURJ598Mq6+\n+mps3LgRvb29sz750qVLcf/99+Pv/u7vAAAvv/wyLrzwQgDAFVdcgSeffBKiKGLFihWQJAnZbBb9\n/f3YvXs3zjnnHBd/TXf4kpFmFo5a2GS+hPZ03FYPaVN1jTTVZpV2eBzEZZISlBJ7GM+kcgw8vpjh\nxM+68kUbNdLTJTmcbkhOzPqOmzdvHm6++WbcfPPNtp581apVOHjwoPVnwzCs/25ra8PU1BRyuRza\n29utn2cyGUxOTtp6Pa95udnQDM6Z+aFWNpVX0JV1NiDEDBqYkZ6d7HM2VFY0ZNMMpKtVNnwyIx20\nSmlH43fDujjdkFzg6yzq6lrrXC6Hjo4OZLNZTE1NnfDzerq7M5Akf3fZ6ihn2U5a3OX6l1c6W+5y\noBsC+vra6zzaP2FaS5S1wnFQNR05WcWpS7ocrXf+9L+VEvFQ/d5hWgsAxKa7DCzoy3q6tq6O8rkp\n3ZZE37w2z16nUWE6DsP5chZ0Xlfa03XJ07PQDCEc3w9hWMPxSpoBUQDesqQLQoN3xJTp7/SiaoTy\nd5pNq613LvM1kH7rW9+KZ599FhdddBEef/xxXHrppVi+fDk2btwIRVGsGuxG2uuNjuZ9WPGxJiZl\nCAAmx/OYcnDreia6Xs7WT0zJGBwMR0a+r689NGuJslY5DuPTgw2ScdHRekvTt2gHh6ZC83uH8RgM\nTffsVgolT9cmTt9JPHBoHLGAp9uG7TgcHpgAAOia7um6CtMZ09HxQuC/f9iOgWl8qoh0UsLQ0FT9\nB0/TpjP8R4ZyofydagnrMZjral281A2kt2/fjquuusqVRdxyyy34+7//e5RKJZx22mlYvXo1BEHA\n+vXrsW7dOhiGgQ0bNiCRCOfkpoKiIZWMNXy12wxRFJCMx9hwn1rWZN5sfeesZV2GG28bYv7/8bw+\nlzXrNZl7Wrzf8GlONuT3Qy05udRUWQdQfm8n4zGWdpAjdQPpr3zlK44C6SVLlmDLli0AgP7+fmze\nvPmEx6xZswZr1qyx/Rp+kRVvG++nEjEGD9SyrNZ3Djp2AJU9CAWZQcNsrPZ3PtXnsmb9RAXFnxaE\nyXgMoiCwRnoWBVlFd2/z+zM62xJsf0eO1P30v+Utb8HnPvc5nHfeeUilKtPKPvjBD3q6sDAqb7bx\nbkBEKimhIIez9R9RPRN558NYAE5xa5SZnfRyRDhQ6YLAIO5ElSFd3gbSgiAgzcE4NZVUHYqqN9Wx\nw9SZTeD3B8eh6wZE0f27zTT31X3XdXd3AygPVqkW1UC6t9P+6ON60okYRqdHLBO1GjMj7XTKW4ql\nBA3xsh1nNesOAcsKTuBXeQ1QPs68YzmzvDUevPlEV2c2CcMAJlzoOETRVPcMfM899wAAxsfH0dnZ\n6fmCwkrVdJRU3dMvrXRSgqKyXyu1JqtG2uFdm0o9KIOG2RQUrXzL3+MsWoat12qq1Eh7v28/nZQw\nPFHw/HVakXn3qpmphqautsp0QwbSZEfdaO3VV1/F6tWr8YEPfAADAwNYtWoVXn75ZT/WFipe9pA2\npTgmnFrYZMGdzYYxUUQiLjIDWodcVD09H5nYw7i2So2098chk4xBLmrQq+YxUJnZQzpjo1a9M2sO\nZeGGQ7KnbiB911134f7770dXVxcWLFiAO++8E3fccYcfawsVP26jms8t8wuLWpC12dBhjTQwPZaa\nn4NZlbsI+ZMJBRhIz0T2aSALUD4OBjj9diaV0g4bGWlrTDg3HJI9dQPpQqGA0047zfrzypUroSjR\ne8NZJ0wPMw/WLW1mpKkFTeZLEABXNuSmWQ9al1xUPW+7BrBrx2zMiws/MtJsQ1hb3sZUQ1OnVdrB\njDTZUzeQ7urqwquvvmr1Tv7xj38cyVppP0o7eKKkVjaZV9CWjrtSs8uM9OxUrdylwOu2awB7GM9G\nLqoQUG5P5zVe0NRmlXbY6tpRzkiPMSNNNtV9191555245ZZbsGfPHlx44YVYunQpvvrVr/qxtlDx\no2crd8dTK5vMlxzXR5vSyRhUzUBJ1RGXuPH2eH5c2JusHsa8wD+Bl0O6jscSm9qclHaYNdLsJU12\n1X3XjY+P4/vf/z7y+Tx0XUc2m/VjXaHjz2ZDZqSpNem6gVyhhMXzMq48X3XQEJfCOek0SNaFvQ8Z\nafYwrq1Q9HZIVzXeGait0rWj+Qv5bDqOmCiwtINsq3sG+NrXvobXX38dl1xyCa6++mqsXLkS6XTa\nj7WFSsGHzYZs+0WtaqpQggF3NhoClTs/BUV13Jd6LjIv7P1ouwaw1KYWWdF8e38yI12bk64doiCg\noy2BMWakyaa690w3bdqE//zP/8Qf/uEf4te//jXe97734cYbb/RjbaHiS420lZFmxoFai9Wxw6Wg\ngkHD7PwcBAJMDwPhsTiBrPiz4RPgZ2I2eQc10gDQlU1gPKfAYGtBsqFuID0yMoJf/OIXeOyxx/DM\nM8+gs7MTy5Yt82NtoeJH144UT5TUotwaxmLibezZFYr+1UgD7GE8k5KqQ9UMX1oQAgykZ2PWSNst\ndepsS0LVdG7kJFvqvusuu+wy9Pb24iMf+Qg2b94cyY4dgD+bDc3ggRlpajVuDWMxMWiYnaz4VyNt\nvo4BoKhovr1m2FXK/XzKSJub0bmH5gR5WUUyEbM9EbgylEWxVWdN0Vb3jPjf//3feOqpp/D000/j\nIx/5CE4//XRccskl+NCHPuTH+kLDz82GDB6o1bg5jAVgIF1PwYcL+2rpVOV4MJAu8yO5Us36TMhM\ntBwvJ6u2xoObqntJL+ltc2tZFBF133n9/f3o7+/HBRdcgF/96lfYsmULfvvb30YwkPZhsyFHhFOL\nsko7mJH2hVXa4VONdHUP4x5fXjH8/D4GGfaRrilfVDGvI2n731vTDbnhkGyoGxV++tOfxgsvvIBT\nTz0VV155Jb75zW/i1FNP9WNtoeJrjTRv3VGLcT8jzSmfs7FKO/zKhvJu2Qn8PgYpDuyaka4bKBRV\nZFL2W/NavaQ5lIVsqHsGePe7340vfvGLMAwDuq6jo6PDj3WFjh+lHQlJhCgIkLnBilqM6xlpBm6z\n8uPCvho3f57IvMjzr06d7VFnYiaenJR2mBnpMfaSJhvqvvPOOussfPSjH8X+/fthGAYWL16MjRs3\n4pRTTvFjfaFRKKpISCJiondT1gRBQCoRY0aaWo6Zkc661rVjOvvGoGFGftdIZ1hqcwLzvenXxUxM\nFJGMx1jacRwnPaRNVo00M9JkQ92o8I477sCNN96Ip59+Gs888ww+/vGP4wtf+IIfawsVWdF82Z2d\nTsYYPFDLmcyXkElKtnfNHy/NetBZFayMNFuvBaXg45h2EydMnqgyHtz+RXxH1WZDombV/dYbHR3F\n6tWrrT+/5z3vwdjYmKeLCiNZ8WcUbCopcbMhtZzJvOLaMBaArSDrqXSM4DCQoPjdtQMwJ0zyM1HN\nHMbipLRDionIpuOcbki21A2kE4kEXn75ZevPL730UiRHhPuWkU6UT5ScsEStQjcMTBVU1+qjASAZ\nj0EQmJGupaCoiIkC4pJ3pWbVeIfgRAWfe3mbr1Uoqvx+qGIG0mkHgTRgTjdkRpqaV/edd9ttt+Gv\n//qv0dXVBcMwMD4+jo0bN/qxttDQDQNFnwLpVDIG3TCgqDqScf9uGRLZlZdV6Ibh2lRDoLxfIJ2Q\nWOZUg1wsn48EQfDl9So168yGmmSfp0sC5eOg6QZKqo4Evx8AALnp0g4nGWkA6MwmcWAwh2JJ43cv\nNaXuO+/888/Hz372M7z++uvQdR2nnHIKEgn3buG2gqKiwYA/9Yhm+YhcVPlhppbgdus7E+tBayso\n/g5GMUttmJGuCCQjnai0hWQgXWa+J53USAPHbjic3xW9u+5kX837ggMDA7jpppvwx3/8x/jiF7+I\nBQsW4Mwzz4xcEA340/rOxKEs1Grcbn1nYj1obWZG2i/s2nEiMyPtd2kHwONQLe9C1w6gqpc0NxxS\nk2oG0rfddhtOPfVU/O3f/i0URcE999zj57pCxY+phqY0h7JQi/EqI51KSigorAc9nmEYKCiqbx07\ngMq5jwFcRcH6XvC3tAPgcaiWc2GzIQB0tXG6IdlT8503MDCAf/3XfwUAvOMd78AHP/hBV15QVVXc\ncsstOHjwICRJwl133YVYLIZbb70Voihi2bJluOOOO1x5Lbf4mZE2X4OZOGoVXmWkM0kJhlH+/PmZ\n9Qs7paTDMPztFiGKApIJltpUKxQ1SDHRtZaPjeCY8BO50f4OqGSkOZSFmlXzTByPx4/57+o/O/HY\nY49B13Vs2bIFv/rVr7Bx40aUSiVs2LABF154Ie644w488sgj+IM/+ANXXs8NVpsjn2ukiVrBhJWR\ndjeQTlWVOTGQrqjU5vpbI5uZvkNAZbKi+n4MrDHh/H6wWKUdjrt2TGekOZSFmtTwpbRbu8P7+/uh\naeX2bpOTk5AkCbt27cKFF14IALjiiivw1FNPufJabvG1RtocA8svLGoRZka6w+XSDmbfZmZmhf0o\nNavGmvVjyYrm610BgJs+Z5KTVUgxAQmHrSArNdIMpKk5Nc8Ce/bswTXXXGP9eWBgANdccw0Mw4Ag\nCHj00UdtvWBbWxsOHDiA1atXY2xsDN/85jfx3HPPHfP3k5OTtp7bK/4G0tIxr0kUdl7WSAPMvh3P\nPDf4nQ1NJ2MYGFGt74CoKxRVtHf7292hsumT3w+mfFFFJhV3/J40u3aMsZc0NalmIP2zn/3Mkxf8\n7ne/i8svvxyf/vSnMTAwgPXr16NUKll/n8vl0NHRUfd5urszkCR/vkik5BAAYH5vFn197Z6+1oKh\nPABAlGKev1YjwrAGCvdxKKo6AOCUk7sRd/Ez2duTAQAkUolQ/P5hWAMAHBqTAQDzujK+rqkzm4Km\nT6CjK+N7NrxaGI6DrhuQFQ0d2aSv61k4WgAQ/PdDGI6BSVZUtGfcOUekkzHkZDVUv18trbDGqKh5\nNlyyZIknL9jZ2QlJKr9se3s7VFXFW9/6VjzzzDO4+OKL8fjjj+PSSy+t+zyjo3lP1jeToeEcAECR\nSxgc9DZbXiyUs3vDo3nPX6uevr72wNdA4T8Ow2My0skYxlz+TOqlctbtyOAkBucF29c1TMfgyNHy\nOnRV83VNsemE34GDY+icrif1W1iOg1leEwN8XY8yvbFuaCQX2P+HsBwDoNzBZipfQm9HypU1dWQS\nGB4rhOb3qyVMxyBKal28+J5W+OhHP4rbbrsN119/PVRVxWc/+1m87W1vw+23345SqYTTTjsNq1ev\n9ntZs/Kz8T7bG1GrmSwoaE+731+en4WZWTXSPm/ArB4THlQgHRYFHzegV+Nn4lhKSYemG447dpg6\ns0kcHS1A03XERP+6sVBr8z2QzmQyuO+++074+ebNm/1eSsP8HAXLgSzUSqyM0MKU68/NoGFmlRpp\nf0/frM+tsPbN+B1IW+1R+ZkAKuPBnXbsMHVlEzAATORK6G6P9sUiNW7WS67x8XGMjIxYf37mmWeO\n+XNU+NpHmsEDtZBCUYWmG65vNAQYSNdiZUN9HAQCVHUU4vGo3KX0/RiYA7t4MQO41/rO1GkOZeGG\nQ2pCzUB6165deO9734uXXnrJ+tmTTz6JD3zgA3j11Vd9WVxY+DnZMMWMNLWQienWd1mXe0gDzIDW\nYk3U8zkbyov8Cusupc/HIC6JiIkCj8E0sw2g06mGpspQFrbAo8bVDKT/8R//Effeey+uuOIK62ef\n/vSncffdd+PLX/6yL4sLCz8z0lJMRFwSeaKkljDp0TAWAEgxAzojM4jzOxuaYSBtqfTy9vcYCIIw\n3c+bxwCoKu1IulQj3Wb2kmZGmhpXM5CemJjAJZdccsLPL7/8coyOjnq6qLApKCpiooC4w4bvjUon\nYsxIU0vwahgLUH0bm0FDNT/vkFVjqU1FpbTD/zaA6SRHtZvcLu2wphsyI01NqBkZqqoKXddP+Lmu\n68f0fY4CWdGQSsR8G0KQ4iheahFeZqTNIIVBw7HMUhf/B7Jw0qRJDugYlF+TEyZNViDtUomNVdrB\nMeHUhJqB9EUXXYSvf/3rJ/z8G9/4Bs455xxPFxU2clHz9RZeOiFZJ2qiMDMz0l5sNoxLIqSYyKDh\nOMFlpM1SGx4POaA6daAcNBZLGrQZEl1RY5Z2uFUj3TPdqWNkQnbl+Sgaar77NmzYgI9//ON4+OGH\nsXz5chiGgV27dqGnpwf//M//7OcaAycrqnXLxw+pRAzFkgZdNyCKHMVL4VUJpN3PSAO8jT2TQlFD\nMh7z/dzA0o4Ks2tGEKUdqURlE242He1ex+bdEbf6SGdScWSSEgbHCq48H0VDzbNANpvFAw88gF//\n+td45ZVXIIoirr/+elx44YV+ri9whmFYpR1+Mb+wZEV17QRB5IXJ6UmcXgxkAaZvY7PM6RgFRbU2\nYvqJNesVsjWQJbjjIBdVZNPR/n5wu0YaAPq60jg8nINhGL6Vc1Jrm/VyVhAEzJs3D4sXL0Z/fz8W\nLFjg17pCQ9XKk5P8vIVnfklywyGFnecZ6QQ7FBxPLqqBZELZtaOiYHVyCu44sFa9Eki7VdoBAL1d\nKSiqjgnWSVODar77hoeHcfPNN2PPnj1YunQpBEHAa6+9hvPPPx/33nsvOjo6/FxnYAo+tr4zcZMV\ntYrJvIJkPIZE3JvPRzoZmx4DzJG9poKioafD/UmS9bA1Z0VQ7e8AIJ1iW0hTXi5BgLu16n2daQDA\n4LiMTh9LOql11fxmuuuuu7BixQo8+eST+OEPf4itW7fiySefxFlnnYW7777bzzUGys8e0iarfy4z\n0hRyk/mSZ9looLoul58FoHyHrKTqvo8HN6UTMeR5LCAXVQgAkkEE0maihd8PyBVVpJMSRBdLMHq7\nyheprJOmRtUMpHfv3o0NGzYgHq98SSYSCWzYsAG7du3yZXFhIBf93yFvvpbMjAOFmGEYmMwrvgTS\n/CyUBXFhX43DQMpkRUMqGXM1gGsUN31W5GXV1fpoAOidzkgPMZCmBtUMpJPJmW9pCIIAMUK3WIP4\n4ra9OgwAACAASURBVEpzTDi1AFnRoGqGJ63vTGb2jfWgZZVNbgFlpJMSL2owveEzgPpogIF0tbys\nos3lDfl9ZkZ6nC3wqDE1I+LZdqtGaSer2S/Uzy8uniipFXg5jMVk1oPyorIsyLZrQPncpKg6VC3a\nPYwLRS3AixnWSAPlMqdiSfMgI10OpJmRpkbVfAfu2bMH11xzzQk/NwwDg4ODni4qTAKpkWYNHLUA\nL4exmJiRPpa1yS2AtmvAsZ07vDzuYScrKuZ3pwN5be4bKPOi9R0AxKUYurIJDDEjTQ2q+Q782c9+\n5uc6QivIzYa8hUph5nXrO4A10scL4g5ZtVRVNjSqgXRJ1aFqhlWC5zfesSwzL67dbH1n6u1KY+/B\ncaiaDikWnVJWsqfmO3DJkiV+riO0gthsaGbheDubwswq7fBoGAtwbOBGlSxkkJsNq9cRRUGOBwfY\nz9tkjgfPJN2/kO/rTOH3B8YxMlnE/K5g7jxQ6+ClVh2yVZPo52RDs/1dtE+UFG6TBe8z0lbQwItK\nAFUZ6YBqpBnEBV+nnuKcAQDelXYA7NxBzWEgXUchgOwDT5TUCiqbDT3MSPOzcAwrIx1QjTTLCqru\nUgZ0DFLJGARE+xgA3kw1NPVNZ6FZJ02NYCBdRzCbDdmpgMJvIudfRpqbDcuCzkineTyqphoGcwxE\nQUAqycE4+enSjrQngTSHslDjGEjXUQmk/TtpJhPMOFD4TRbKGekOLzPS3Hh7DDMjHWQf6fI6ons8\nrNKOgDLSQPn7KMrHAAByVkba/Qt5q7SDGWlqAAPpOiqbDf07aZoZB2akKcwm8yUkJNHTMckZbm47\nRqXULKjSDnP/RnSPhzUUJ6CMNFD+XMgR30Nj3hXxoka6uz2JmCgwI00NYSBdh/mF4WWwMBNmHLx3\nYHAKO/cOBb2MljXl8XhwgDXSxws6iGNGuuouZYAZ6fKodg2GYQS2hqDlra4d7n8WRFHAvI4UNxtS\nQxhI1yErKpKJGESfpzmmkxIz0h4xDAP/99n9+Id/exZf+/edVhslas5kvoSsx72ERVFAMhGLdOBW\nLYg9G9XYtaNyVyDIjHQ6KUE3DBRL0f2OyHtY2gGU66Qn8iUU+T1MdTCQrkNWtEC+tFIMHjwxmVfw\nT/++E1se3QNNN2AYwOGhfNDLajlFRYOi6p5npIFy8MZWkGUFRUVMFBCXgjl18w5B8HXq5dc2+6tH\nN8jLedj+DigPZQGAoXFmpWl2DKTrKAfS/p8w04kYNN1ASdV9f+256tU3RnHHd57Bjr3DeGt/N/6f\ny08BABwezgW8stbjxzAWU/miMroBQzW5WL6wF3y+Q2ZiF5Vg9s0cjyU25Yx0Ii56Nnmwt3O6cwc3\nHFIdgVxSf/vb38bPf/5zlEolrFu3DhdddBFuvfVWiKKIZcuW4Y477ghiWTOSFRXd7UnfXzdlDaJQ\nEZeiOYrXLZqu4+EnX8fDT74OQRBw7ZWn4t2XLsXeg+PAE6/h8DAz0s3yYxiLKZOUcHS0AMMwAgsg\nw6KgqIFmQhNxEaIgQI7whU0QswWOx0AayBdLnpV1AJVe0txwSPX4npF+5pln8OKLL2LLli3YvHkz\nDh8+jHvuuQcbNmzA9773Pei6jkceecTvZc1I03UoJd3XqYYma0x4hE+UbhiZkPGVB1/Ej598HT0d\nKdz64bfjve/ohygIWDSvDQAz0nZM5MxhLN4H0qmkxLsz0wrFYO6QmQRBQDoZ7bIz8yIiiO8Fk/na\nUT4OeVn1rKwDqJ5uyIw0zc73QPqXv/wlzjjjDHzyk5/EJz7xCVx11VXYtWsXLrzwQgDAFVdcgaee\nesrvZc2oGEAPaVMqwRo4p17cM4g7vvMMfndgHCvO7MM/fOwinL6k0/r7bDqO9kwch0eYkW7WZN7M\nSHt/tyTNMeEAyptk5aIaaP9ioHw8Il3aYWakA95sCET3M6EbRjmQ9vCuQO/0UBbWSFM9vp8JRkdH\ncejQIXzrW9/C/v378YlPfAK6Xsk0tbW1YXJy0u9lzSjINkfmbcOo9wq1o6Tq+OEvfo9Hnj+AuCTi\nI390Jq48f/GMZQGLejLYc3AcJVVDXAo2QGklfgxjMVVn3zrbolvmVCxpMBBsAAeUg7go3+4uKBqk\nmBjYhk+ApR1ysfxZ8LK0oz0dRzIRwyAz0lSH72fkrq4unHbaaZAkCaeccgqSySQGBgasv8/lcujo\n6Kj7PN3dGUgeBz4Frdyjs7sjjb6+dk9f63h9PRkAQCKd8P21j1lHgK9tx8HBKfzv77+IfQfH8ZYF\nWfzd+ovQv6j2++mUk7rwuwPjKEHE4hD/rmE7DppRvih5y5JOz9c2r7v8WUhlov1ZGJkof6F3daQC\nXUtHNon9R6cwb14Wouh/zXrQx6Gk6WhLS4GuY+H8KQCAKMUCWUfQx2Bg+i5id6e3n4VF89owMJJH\nb282dPszgj4GVOF7IL1ixQps3rwZN9xwAwYGBlAoFHDppZfimWeewcUXX4zHH38cl156ad3nGR31\n/nb8oYEJAICh6xgc9DdLrk33Bx04OonBvjZfX9vU19fu++/txPO7j2LTT15BsaThivMW4bprzkBS\nEmb9Hbqna3xf/v0gMlK4TpSmMB6HgeHyF7lWLHm+NkMr37E6dGQCXR7WRM4mDMfArOUXDCPQtcSn\ng+f9B8c8rVGdSRiOw9T0RM8g16FM974fHM75vo4wHIP9R8qvHwM8XUtXWwKvH57Aa2+O+FLG1qgw\nHIMoqnXx4vu30lVXXYXnnnsOf/qnfwrDMHDnnXdiyZIluP3221EqlXDaaadh9erVfi9rRkFuKklx\nFG/TNv/f38GAgb98/9twyVsXNPRvFnLDoS2B1EhHfL+AWWoWfI10pdTG70A6DApFFfOnOzoEJVPV\n1SmKvBwPXq1SJy2HKpCmcAnkLPjZz372hJ9t3rw5gJXMLshNJSl27WjKRF7BRE7B+af3NhxEA8Di\neeWyAbbAa85kvgQpJvjSS5cdCsoKAY8HN6UiXJ+rGwaKihZo6zvg2IuZKLLGg3tYIw0AfZ2VFnin\nzFIiSNHGgSyzCHIcrxU8MCPdkMND5Yzy4t7mymB6OlNISCIz0k2azCtozyR8qRtMRzz7ZjIz8kEH\ncVEeylJUypvcgmx9B1RfzETz+yFnjQf39rPQZ0035IZDqo2B9CwqXTsCmGyYZEa6GYesQDrT1L8T\nBQELezI4MpyHbhheLG1OmiyU0J72voc0wA4FJvMOWdBBXDrCHYUq5TXhuJiJ6mci7/F4cJNV2hHh\nLjVUHwPpWVRKO4Jrfxf1LFyjDtrMSAPAwnkZKKpudUWg2SklDUVF82UYC1B9URnN7JvJDJqCzkin\nI5yRLoRgPDgAq/1eZAPp4nRph8efBY4Jp0YwkJ5FwdpsGNxAlqgHD406NJSDAFjTCpux2NpwyDrp\nRvi50RCo1INGMXCrZmVDA89IR3dYVBjGg5vSSSmygXSltMPbi/lUQkJ7Jh7pvulUHwPpWQSZkbZG\nhDMj3ZBDw3nM60whGW/+WC3khsOmmMNY/Auk+VkAwhPEmeemKAZxYRgPbkonojuqveBTaQdQHhU+\nPC5D11n6RzNjID2LIDcbxiURUkzgZsMGTBVKmMgptso6gEpG+gg3HDakkpH2qbQjEd1SgmphCeKi\nXLMuh+RiBpjOSEf0+yHnYyDd15WCphsYmyp6/lpRZxgGXn1jFN/68cv4l4d3wWiRfUvBnw1CLMjN\nhkD5tlIUv6yaZW40XGIzkF7Qk4YglLPaVN9k3sxI+xNIJ+IiREGIfJmTmZHmRrfgBFnud7x0UkJJ\n1aFqOqRYtHJiebmEmCjYugPZLLNzx+BYAT0dKc9fL4pycglP/vYItr94EEdGKt/D739nPxZ0N9dA\nIAjBnw1CLMjSDvN15YhmHJpxyMFGQwCISzH0daaZkW6Q3zXSgiAgnYzubWyTeSERRF/7alHOSFcu\nZkJQ2lG16bMjYsNC8tPDgPxov2luOBwal3Gm568WHYZh4LXDk/jFiwfwzCtHUVJ1SDEBl75tARJS\nDI/vOITXDk8wkG51haIGKSYGdrWfTkrc5NAAp4E0UK6T3rl3GFOFErI+tXVrVX6XdgDmbezoBW7V\nwtIxIsqTJmXrGAT/1WkG83IEA+mcrHrescPUW5WRJudkRcWvdw1g+4sH8ebAFABgflcaV12wBCuX\nL0R7JoHf7R/D4zsO4fXDk7j0rQsDXnF9wZ8NQkxW1EC/tNKJGIqKBt0wIPpw5d2qzNZ3i+bZv3Jd\nNB1IHxnO4/STOt1a2pxUKe3w78s7lZAwPBHtL7KCoiIZj0EUgz0XmOfEKNasF6xyv/BkpKN4QZOX\nVczzqcyiz2yBN8YWeE4cODqFX/zmIJ566QhkRYMoCFhxRh+uumAJzu7vPibGWbqgHYIAvHZ4IsAV\nN46B9CxkRQs0kE4lJRgoT9MKui4yzA4N5zCvI+UoS2S2zTs0nGMgXUcQGelMMoaDxWhfVMqKFooA\nThTLo+GjOCyq0oIw+PNxVCdMKiUNqqZ7PtXQ1NORgiAAQ+PRvpB34v/92W5sf/EgAKC7PYnVF5+M\ny89bjO725IyPTyZiWNLbhjcGJqHpOmJiuPcABH82CDFZ0Xy76p1Jpe0XA+lacnIJ41MKlp86z9Hz\nmNnsI9xwWNdkXkFMFHy7tQrwohIo38LPeNw3t1HppBS5AA6olHaE4T2YimgbQj87dgDl4Tc97SmO\nCbepqGh47DcH0duZwnXXLMO5p89rKDDuX9SBA4M5HB7K46T5WR9Wal+4w/wAGYYBWVED3VRiZsOj\ndqJsxuGhcuDb7Gjw41VnpGl2k/kSspm4Lxt9TFHuFGEqKFooNrkB5eMRxWMRljp1oBJIRu04mBdw\nfl5U9nWlMDZZREmNXhmNU28MTMIwgLef0YcLzuhrOLt8yqIOAK1R3sFAugalpMMwgt1UUhnKwg9v\nLQeHypsVFtuYaFgtm46jPRNnRroBkwUF7Wl/NzelIh5Iq5qOkqqHYpMbUK4RLhS1lunz6paCokFA\n+dZz0MxN0RPTexaiIi+XS8v8Ku0AykNZDIBZaRv2HSoHwqcu7mjq352yqB0A8PqRSdfX5DYG0jUE\n3foOqGxoiXq3gtkcMjPSfc4CaaCclR4cLzDrMIuSqqNQ1HytjwaiPZYaqKrNDUFJAQB0tSWhGwYm\nctEK4uSiimQiFoo6/fnd5W4SAyPRqt21Sjt8/Cz0dlVa4FFzXj9SDqT7FzUXSJ/Ul4UUE5iRbmVB\nTjU0WRnpiGbhGmGWYjjNSAPlOmnDiN4XUzOmCv5vNASqSjsielEZppICAFjQM72nYCRad3AKihqa\ni5n5023Zjo5G7Bj4XCMNAH2d5f/XQ2yB17R9hyaQTcet7ieNkmIi3jI/i/1Hp1BSdY9W5w4G0jVU\nAungTpqVGuloZuEacWgoh+72pCtfbmad9OGIBQfNCKL1HRDdjVUm8/cOQ7cIAFhgZkNHoxVYBN3J\nqVoiHkNPRzJyFzM5q7TDzxrp6V7SzEg3ZSKvYGhcximLOmztqelf1AFNN3BgcMqD1bmHgXQN1hdX\ngJt70hHPwtWTl1WMThZtjwY/ntm54/AQNxzWEkTrO4CbDeUQ9S8GKhnpgYgFcYViuLrGLOjOYGxK\nQTFC+2jy0xnptJ810mZpBzPSTXl9uizDrHdu1ikLW2PDIQPpGkKRkTYnV0XoJNmMw8POJxpWWzQd\nHDAjXVtgGenI10iHp+0aUBVIRygjXVJ1qJqOdEgy0kD1cYjOOcvs2uHnZsPOtgTiksihLE2yu9HQ\nZAbgDKRbVBg2G7JGenZujAav1tOZQkISmZGexYSZkfZ5jHrUM9LmBURYgriOTBzpZCxSGWnrOyEk\nFzNANEtszNIOPzcbCoKA3s4Uh7I06bXD5Y4bzW40NC2a14ZkPIbXD4e7cwcD6RrCsNnQavnFjPSM\nzNHgbmw0BABRELCwJ4MjI3noEWvr1ahKRtrfQDryNdIhC+IEQcCC7gwGRguR+awUQvCdcLwoltjk\nZf/7SAPlFng5WbVen2ZnGAZeOzyB3s4UOmzewRRFAUsXtuPQcM66kA0jBtI1hKG0w8w+MSM9M6tj\nh8NhLNUW9bZBUXWMcFPJjMwa6Y42f0s7zHrIqO4XkIvhGU1tWtCTgarpGJmIxmdFDtmGT6A6Ix3B\nQNrni8o+qwUes9KNGBqXMVUoWYNV7Opf2A7DAN4cCO+GQwbSNYRhs2GKA1lmdXgoh65swtXMBOuk\nZxdUjXQ64h1swtb+DqgK4iLSLrKy4TM8gXRfVxqCELXSjvLEYVH0t5d373QLPNZJN+Y1a6Ohs0C6\nFSYcMpCuIQwZaY4Ir61QVDE8UXStPtq0aPr5DnPC4YwmCyWIguBrD1egqoNNRD8LYRvIAgALI9ZL\nOgzJleNJMRF9nelolXYUS/j/2zvz6LjK8/5/7+ybZjSjGY12y5Ys77YwsjE2YLMlGAgFAjQN4J6m\nTU96Ggy4aTgcttCU2gknJ4Gkzcmpe9pjliQcSvmZNhDHEDA22PKCbbwvWkbSSJoZbbNp1nt/f8zc\nkaxItizNzPvee9/PPyEgS4/n0b33uc/7fb6PSV9cWQfAOtJXy2wHDUWkMHDICukpoGHYUKXioNep\nFXucfTnEQjfvhbTYkR5gA4eTEYomYTFqir7ZTaNWQatRKbaQHtNI01PEKc0xQswBTdIOACh3GBGK\nJhWj3Y3GUkV17BAZ60izQno6tPcGwXHAHPfMrO9EXKVGmA0aqgcOiRXSAwMD2LBhA9rb2+HxePDN\nb34TjzzyCF588UVSIV0CDcOG4s+PKfQ4+3Lk27FDxO3IHJWyjvTkhKOJoss6RIx6jWIHb6nW5ypF\n2hGn45kwEbddOS80aZ5HLJEu+okYML4jzaQdVyLN8+jsC6HaaYF+ltcLx3Gor7TCNzya26xLG0QK\n6VQqhRdeeAEGQ+YXc+vWrdiyZQtef/118DyP3bt3kwjrEmjRwxl1GqqnVUmRz9Xg49Fq1HDZjKwj\nPQmpNI9ILFV0xw4Ro06t4I60KO2gp4gzGbQoMWkVUcAB9DmniIy90Mg/D6QcO8SfadJrWEd6GvT4\nI0ikeMyrml03WkSUd3T00SnvIFJI/+hHP8Jf/MVfoLy8HIIg4NSpU2hpaQEA3HTTTfj8889JhHUJ\no4kUOA7QaciqX4x6tWK7cJejUB1pILPhMBRNUvv2S4pI9vOwEOxIK9XBJhZPQa3ioFHTpcZzO0wI\nDMeQSvOkQyk4Mcq8vEUqFLQcR1zGQqIjDWRkBgMjMQgKsXycKR19s/OPnsjYhkM65R1Fvyu/8847\nKCsrw7p163K/jDw/dhM2m80Ihch/WLF4GgadZkb74fOJQafJbdRijOENRGAz62ApwGKQyjJx4JB1\npccTJLQeXMSo1yCh0GthNJGGQacmfj+aSIXdBF4QFNGlG6Vsu6RIuYK06qSs70ScpQYkUjyCkQSR\nny8VcoOGeSqkxYK8g9KBw6L/Nr7zzjvgOA779u3D2bNn8dRTT2FoaCj33yORCKzW/Hz4syGWSFGh\nhRNv2rFEGhYjXd0oUsQTaQRGYlg0x16Q719RJg4cRjG/prQgP0OK5KzvirzVUETJ18JoPEVdAQdk\nZgqATDe0Ms8yK9rIaaQpy0OZVQ+1ilOEVl0spEkMGwKAa5wFns2iJxKDFGjvDUKnUeXtxNheoofN\nost1ummj6L+Nr7/+eu6fN23ahBdffBE//vGPcfDgQaxatQp79uzBmjVrrvh97HYTNJrCFbqJFA+b\nRQeXKz8an5lSas3oyI1mPVwEHlSk//6Tcb4r8+LVUFNakPgWN7gAnMFwNEnN35+GOLjuEQBAldtK\nJB4lXwuJZBouu4mK34PxzK8vAz5pQySRLlpspD4DPnsYUFNpo66IqnSa4RsehdNpKcqpBakcqHsy\nHUm300IkhvqaUqDVgzgvEL8WSf/8qYjFU+gJRLCgzo7KClvevu/COQ4cONkHtV4LR/ZZQAtUvFo/\n9dRTeO6555BMJtHQ0IA77rjjin9mqMDHWNFYCk6bAX4/2Tcgjs/IX7x9Qaj54h5pu1wlxP/+k3Hy\nvB8AYDdrCxKfIft+1tY9TMXfn5Y89GQHPTieJxKPKisF6+kdUdS1IAgCorEUtGqOit+D8ZjUmaLt\nomeoKLGRzMNIdoNjJBRDYpSuo32n1YBuXxjtnsGCu+qQzEGfL/Nz06k0kRgM2d/3tq4hLKkjd1pJ\nyzNhMs51DYPnBdS6zHmNsSp7+nXohBfXzHfl7fteDVO9vBAtpHfs2JH759dee41gJJeSSmd0mDRI\nO0TfWKW6FUzG2GrwwnQlLUYtrCYt+pgF3iWI68FJSTsMCl3KEk+mIYA+bS4AuOxj0g65M5pIQ6Pm\noCU8gD4Z5ePyQMqeshiEsgPPxKQdWQs8P7PAm5J8bTScyNiGwxCxQnoq6LsjUAANWw1FxnShyioe\nLkdvoDDLWMZTUWaGf2QUyRRzTBERH2Kkhg1NuUJaWTkZpdS/GAD0WjUcVr0ithvGEmkqngmTkXPu\nkHkeevxhAJn7MwmctqyXtAKGa2dKrpCe5UbDidA8cMgK6UkQLbZoeHCNrQlXVvFwOXoCYZSYtAXt\nvFSVmSAIylk2MR1yw4aEOl5KPZ2JUeoWIeK2mzAUiiOelO89ihcEDARjsFno7PbmvKRl7tzh6Q/D\nqFfDZSOjkdVq1Ci16OAfZh3pqWjvDcJi1OY9RxajFq5SA9p7g9TZD7JCehJo2WoIjG0yYx3pDPFk\nGoHhGKoL2I0GxjoeXmaBlyMUTYIDCmI5OB1yHWmFXQs0d6SBsVXhPhnLO3xDo4gn0qgrp3PAK7eu\nXcYv/vFEGv2DUdSWlxC1gXSWGjEYUoZ3+tUSiibgH46hvrIwOZpbaUUklqJOWsMK6UmgyS90rAsn\n327P1dA3EIWAzJR6IanKWuAxnfQYoWgCZqMWKhWZh5h4rK60jnQ4O9hGyjv3SlQoYLNeZ9Z2a04F\nnYV0aYkeWo1K1h3pLn8YAoA6t4VoHC6bAYIADIbiROOgEXFhSr78oydSX0GnvIMV0pPAOtL0ktto\nWGCNnOglzTrSY4SiSWL6aGCskIwqrJD29Gd0odUusgXEVChhIUhnf7aQJlzETYWK4+C2G9E/OErd\nsXe+6MrlgOzLjDPrJc100n9KoQYNRXKrwinbcMgK6UmgadiQdaQvpdCOHSIOqwE6rYp1pLPwvIDI\naJKoI4Axey3EFHYt5NbtUtoNFQfd5Dxw6MkWcXWEi7jL4babEE+mMSLTrXud2RfK2nLCHenSbCFN\nmbyABgpdSNe5S8CN+zm0wArpSaBp2FDsSCtNFzoVYke60BppFcehwmFC32AUvEw7PFdDeDQJAeQc\nO4AxqZXSpB2dfUFYTVrYS+haAiLitBmg4uS7WU8QBHT2hVBuN1Ih95uKcoe8JTZdvhA0aq7gTZQr\nkbPAYx3pSxAEAW3eIJw2A6zmwjRcjHoNKp1mdPSHwPP0PJdZIT0JoxRJOwzj1iIzMoW0xagtSkFX\nWWZGIsVjkHUeiDt2AMospIORBAaCcdRXWokOWF0OjVoFZ6lBttKOgWAMkViKuKTgSlTYRYmN/Aq8\nNM+j2x9BldMMjZps2eLMrQmX3+c8GwZGYgiPJnM2dYVibkUJ4ok0eil6YWSF9CR4A5kjJPEIhyRG\nnXicrZziYSqSqTR8w6OoKjMVpaiozOqkabpgSUF6GQsA6HVqcFBWIU27rEOkwmFCKJpEJJYkHUre\n6ezLPA9oHTQUccvYS7p3IIpkiqdCWmMv0UOt4pi0YwJtWblFoQYNRWj0k2aF9CRc9Aah16pR7SJ7\nhAQAWo0KahXHpB3I3EwFofD6aJHK7EBjb4ANHJJexgJk5DYGvTp3YqQEOrJr2cVpdVpx2+Vrvzam\nj6Zz0FDELeMtk11ZfXQdYX00AKhUHMqsBjZsOIExfXRhX3bGNhyyQppaRuMpeP0RzK0sgVpF/uPh\nOA4GnVpxA1aTUaxBQxHWkR6DBmkHkBkAVlJHmnbbNRG3Q74LQTolMGgIAFazDgadmuWgCLhKDQhG\nk4gr6KX+SrR7g+C4wt+rasvNUKu4nNUeDZCvFCmjvTcIAflfbzkbDDoNs78D4C3CavDxuO0mcBzr\nSAPjpB0EO9JAxgJPSYV0R18INouO2kFDETnLCjr7Q3BY9bASfom8EhzHwW03wTc0KrsB6S4fHY4d\nIs6ccwfrSgMZDXtHfwjVTnPB3c60GjVqXBZ0+cLULMVhhfQE2ryZ44KGKhvhSMYw6tXM/g7jPKSL\nVEhrNSq4So2sIw0gSEtHOnstyNUrdzwj4TiGQnHMpVzWAchXVjASjmMknKB2o+FE3A4jkikeQ0H5\nLAsRBAGefrpcU5w20bmD6aSBTJMrkeQLZns3kbmVJUilefT46WhysUJ6AmIhPY+mjrReg9FEShHF\nw+XwBiIwGzSwFchaZzIqs0NU4VH5DVFdDbR0pI16DXhBQCJFRyeikHRIRNYBZHzXNWqV7LykRe9i\nKeQAAMrt8luOMxiMIxJLUSPrAMaMCPysIw1gnD66SHVTPWU6aVZIj0MQBFz0jqDMakCphZ6jVINO\nDUEAEkn5Fw9TkUzx8A2NotJpLqoNmLiKvFfhGw7D2Y60haBrBzDOV10B8g6pOHYA2c16DiP6B6Oy\neuHvpGSb3nSpkKGXdG7YkxJZBzB+uyHrSAPjCukinZ7RNnDICulxBEZiCEWTVHWjAbYmHMg8GHhB\nKPhq8IlUZrWfvQrfcBiKJmE2aIh7uCrJS1q0d5JCIQ1kZgpiiTSCUfmc3nj6pOHYIeKWoZe0J6uP\npqsjnZF2MI10hnZvEFqNqmhOZ1VOE3QaFTUDh6yQHsdF7wgAoIG2QlpcE67gCeFiO3aI5CzwFN6R\nDkUTsFAwbJW7FhQwM9DRH4K9RA8bRadjl8Mtw25oZ38IJRRvlZyIHIc+abQftBi10OvUTCMN+9bJ\nGAAAIABJREFUIJ5Mo9sfwRx3SdEaLWqVCnUVJfAGIognyT8LWCE9jraerD66mp5BQwC5KVgldOGm\nolirwSdSUcY60rwgIDyaIq6PBsZ1pGV+OjMUygy5SaUbDYxt1pOLTjoSSyIwEsMcdwm1WyUnYjFq\nYTZo5NWR7g/BatZRJbfkOA4umwH+kVFZSZlmgqc/BF4QijZoKFJfUQI+O4hKGlZIj+OiNwi1isMc\nit58gbHiQcnbDYvt2CFiMWphNWkV3ZGOxlLgBYHoVkORnEY6Ju9rYWwRi3QK6Vw3VCaDbh4JDXuO\nx+0wwT88ijQv/Zma8GgSA8E4Vd1oEafNiHgirfhB9HavOGhY3Otkbm7DISukqSGZ4tHlC6HObYFW\noyYdziUYdEza0ROIwKhXo9RSfHlBZZkZgeEYkillfv60LGMBlNORFh8O9UXu8syGMVmBPLqhomMH\nTdrc6eC2G5HmBQzIYIV1V27QkL4cOHM6ael/zrOhWKvBJ5IbOOwjP3DICuksnv4QUmkB8yjyjxbJ\ndaRlXjxMRSqdceyoKrJjh0hlmQkCgD6ZFAhXCy3Wd4ByNNI5twgJdUOtJm1ms55MpB2enGMHfd3Q\nyzF2MiD9+9XYoCF9OXBlnTv8Cl8V3t4bhNmgyVkCFgvRV5yGgUNWSGe5mFvEQl8HKNeRlnnxMBX9\nQ6NI88V37BBR+sBhMEJfR1rOMidBENDRG0SZBLbpjYfjOLgdJvTLZLNeZ38IRn3xC4TZ4paRVt1D\n2Wrw8bhy2w2V25EOjybhH45hbqW16E0uFcehvqIE/YNRRGNk5TWskM7SlnXsoM36DmAdaVL6aJFK\nhQ8chkZp6khnroWojAvpoVAcwWgS9RLYaDiRCocJqTSPwaC0i4tYIoW+gSjqyi2SGTQUEd1TfDI4\nQfP4wtBr1Si30/cyI0o7lNyRzvlHE5Kg5XTSfWS70qyQztLmDcJi1FLZfVB6R5p8Ia3sjrSokaah\nO2rKFtJiTHJEShsNJyKXVeHdvggESDUH8hj6TCTT6A1EUVtugYrClxlxTXhAyYW0t7gbDScytzJz\nfZJezMIKaQAj4TgCIzE0VBX/eGI6KH0hCynrOxG7VQ+dVqXcjjRFGmlXqREWoxanOodkIR+YjJxj\nR6UEiziZ+BhLbaPheIx6DaxmneQL6Z5ABLwgUKmPBjK2tCUmLfwKlna00dKRJqyTZoU0Mt1ogE5Z\nBwAYFDJgNRXegQj0OjWxpQgqjkOlw4y+7HZFpUGTa4dKxWFFQxlGwgl0Ej7OKxQ5xw6JSjsA6etz\nxd+tOgl2pIHMyUBgJIZUWroWeDTro0WcNiMGRmLgeeU9FwRBQHtvEGVWA2xmMs8Ge4keVpOWuHNH\n0QvpVCqF73//+3j44Yfx0EMP4aOPPoLH48E3v/lNPPLII3jxxReLHVJu0JC2RSwiStZIp9I8+gai\nqCoj49ghUllmQjLFy8JS6moRO9IWCnykAWBFoxMAcPR8gHAk+UcQBHT0heC0Gaj5vK8GUdrhk7i0\no7M/BJ1Ghcrsi4HUcNtNEARp63c9/fQ6doi4Sg1I8wKGw3HSoRSdgZEYQtEkMVkHkBlwrq+0YjAY\nx0iEnNyv6IX0zp07Ybfb8cYbb2D79u344Q9/iK1bt2LLli14/fXXwfM8du/eXdSY2rwj4ADMpbQD\nNKaRVl4hnVksIKDKSfaBpuQNh6FoEka9GloNHQdYS+Y6oFFzOHpBfoX0QDCG8GhSUotYxmMyaFFi\n0kq6I51M8fAGIhltroo+qd90GFvXLuFC2heCWsURk/RNB3GmSsovLDNlTNZB9l41Ju8g15Uu+pNx\n48aNePzxxwEA6XQaarUap06dQktLCwDgpptuwueff160eHheQHtvCFVOM0wGTdF+7tWgVqmg06gU\nKe0Y00eT7UqI1nt9Chw4DI0mUGIkL+sQMeo1WDjHji5fGIEReT3ApLiIZSJuhwmBYenKCnoCYaR5\nQbKyDkD6Fng8L6DLF0ZlmYm6BWnjEQcO/cPKO6kU71XFXsQyERoGDoteSBuNRphMJoTDYTz++ON4\n8sknL9lVbzabEQoVT/vYE4ggnkwTPZ6YDm6HCT2BMCKE/RKLTU/OsYOOjrRXYR1pQRAQjiapGDQc\nT3NW3nHswgDhSPKL6Ngh1Y40kJF38IIgWX9dUR8txUFDEXHo0yfRgcP+oSgSSZ5qfTQAOHNe0vJ6\noZ8Obb1BcBx5Z5t6CizwiLRge3t78d3vfhePPPII7rrrLrz88su5/xaJRGC1XrmotdtN0OThTfVw\n9kHcvKAcLhe9F+3NLbXY8bvTOOcN4SvXzSnazyX9mQyGMrqnpU1uuAjqFUvtJqg4YCAUJ/KZkMpD\nOJpAmhdQVmoi/rswnltW1+P1XedwqnMI37hjUVF+ZjH+/t5sB/HaJZWwUDDcORMaau3Y92UfRtNC\nQT6zQufBN5LRu65Y6Kbqd/5qKMlu3RsMJySZg9Pdmb0Oi+Y5qc7BAi7TiwzFUkWPk+Tnkk7z6OwP\noc5dgtpqO7E4AMCFzJbDzv4QnE4yvu9FL6QDgQD++q//Gs8//zzWrFkDAFi0aBEOHjyIVatWYc+e\nPbl/fzmG8vSmfeycDwBQXqKH30+vC8CSulIAwO4DnbhmnqMoP9PlKiH+mbT1jECvVQOpFPFYnKVG\ndPYGix4HyTyIR8N6DUf8859InduC4xcC8HQP5QZyC0UxciAIAs57hlBeasRoJI7RiDQHmCzZmY7z\n7QOY68qvvrUYeTjbOQi1ioNJTd/v/NVgL9Gj2xfK+9+hGDk4ccEPACgza+nOQZoHxwGeIj8XSD+b\nu31hxBNp1JZbqMhPXbkFh876cfqCv6C7QKZ6eSm6tONXv/oVgsEg/u3f/g2PPvooNm3ahCeeeAKv\nvvoqvvGNbyCVSuGOO+4oWjxt3iD0OjWxZR/TxVVqREO1FWc6hxQzIZzmefQNRlFZZqLCkL+qzIzw\naFLWy0AmQpP13USaG51I8wJOtg+SDiUv+EdiiMRSkvSPHo8oK+iToHNHmufR5Quj2mmmZrh2prjt\nRgwG44gnpTdbIzp21FLs2AEAGrUK86qsaPMGJb/N82oQBw1J66NFFs3JdMUPnfER+flFv1M888wz\n2Lt3L3bs2IHXXnsNO3bswIIFC/Daa6/hN7/5DV566aWiteajsRR6AxHMrSiRxHT2msUVEAAcPE3m\nl6XY+LMDS7S85IhxXMgeOyoBmpaxTKR5fkYn/YVMbPA6+6TrHz0ecZ2zFJey9A5EkUzxkh40FBE9\nvf0Se6ERBAGe/owFpNlA331nIjcsq4QAYN+JPtKhFA3Sq8EnsnqxGxq1Cp8e771k5q5YSPuVe5a0\n9wUhAGig1D96Ii0Ly8FxwP5T/aRDKQqkV4NPZPWicgDAnmNewpEUj7GONH0PtDnuEpRadDh+MYA0\nL02HiPGI9k2kh3dmi16bWZ4kxc16HglvNJxIuURXhQ+HEwhFk9QPGoqsXuSGTqPCPkJFHAnae4PQ\nqFWozrN0a6aYDVpcu8CFvsEoLvYU371D0YV0W0+ms0jrRsOJ2Mw6LK53oL03KLmb40ygrZCuc5dg\nbqUVx9sGFHOMN9aRpk/awXEcmhudiMRSRG6e+aZDBm4RIhUOkyRlBZ19GUmB1F9mgDEvaalZ4HX5\nshsNy+mWdYgY9Rpcu6AcvuFRnOsaJh1OwRmNp9Dti2BOhQUaNT0l5A3LKwEAnx4vfqOLnk+BALmN\nhlXS6EgDwJrFbgBAqwK60rQV0gCwobkKgqCcrjTN0g5gTN4h9S2H4kZDt8NErZ/91TBmvyYtWUFn\nfwgcgFqXNIq4y+HOdaSllgNxo6F0XmZuzBZxe4/3Eo6k8Oz9she8IGB5g5N0KJewaI4dZVY9Ws/4\nEE8U9wVesYW0IAho8wbhtJHbEz8TVja5oFGrsP9Uv+yPkbyBCHQaFZxWA+lQcqxe5IZRr8anx3tl\nISe4EqI/qpXCjjSQuXnqtCrJbzn0DY9iNJ6StH/0eNwS1EnzWW1uRZkJeh29S0Cmi6vUCI4DfBLK\nATAmr6F5NfhEmupK4So14OBZn6w3EPO8gA8PdUOrUWF9cxXpcC5BxXFYt6wS8UQah84Wd45MsYW0\nf3gU4dGkZGQdIka9Bisay9A7EEWXL0w6nIKR5nn0DkZRUWaiahBUr1NjzZIKDIXiOH5RXstAJhIY\nGcXxiwOodpphL9GTDmdStBo1ltQ70DcYRa+Et07mNhrKpZB2SE+f6x8eRSyRloWsAwC0GhXKrAbJ\ndaS7+sOwGLXU3nMmQyziEkkeBwk5RxSD4xcH4BsexZrFbiqbK+uWifKO4p4MKLaQlqKsQ0SUdxyQ\nsbyj9ZQPyRSP+TWlpEP5E9avyLyJf3JU3vKOXa1dSPMCNq6pI2JyP11EeYeUtxx29GXuR7IppO3S\n0+eKril15fLIAZB5oRmJJCTTJY3GUvANj6K2nMxijdmwbmklOMhb3vGHQ10AgNtbaglHMjmuUiMW\nzbHjXNdwUU/DFFtIt2WHkxok1pEGgOUNZTDq1Thwuh+8DOUdPC/gvc86oFZx+Ooq+i7YOncJ5lVZ\n8eXFAQxIdA3ylQhFE9hzzIsyqx6rF7lJh3NZVjQ4wQGSlnd09mW0uVLShV4OV6kRKo6TVDe0U3Ts\nkMnLDABU2KWlVe/2Z4c9JXgdlNkMWDzXgQs9I5I+HZuKbl8YpzuHsGiOHTUUD4KKQ4d7vyzeC41i\nC+mL3hFo1JwkH1xajRorm1wYDMZl6Wl88IwPfYNRrFtWAWcBtxTNhvXNVRAg36HDDw93I5Hi8ZXV\ndVRNZk+G1azDvGorzncPIzyaJB3OVcNnBw0rykwF39BYLDRqFZylBklppMUlIHMkpM29EuVZ5w6p\nSGzElxnaF7FMxQ3Lil/EFQvau9Ei1za5YNRrsO/LXvB8cRqNdD8hC0QimUaXL4w6d4lkt1ddJ1N5\nBy9kutEqjsOd19eTDmdKMkOHGnx63Cu7ocN4Io0PD3fDYtTipuV0DZRMRXOjE4IAHL8ova50/2AU\nsURaNrIOEbfdhFA0iWiM/pcbQRDQ2ZdZAmKSwBKQ6SI6d0hFYtMlQceO8axscsKk1+CzL/tk9VwI\nRhP4/GQ/ykuNWN5YRjqcy6LTqnHdYjeGwwmcKNLWW2lWkbPE0x9GmheoWW85ExbNscNq0uLgGR9S\naflcsEfO+uENRHD9UjfKKe1GA5mlE9cvyVysxyWszZ2MPce8iMRSuPXaGsm4FzQ3Zm3wJJgLuWw0\nnIg71w2lX1YwFIojPJqUlawDACrEHAzSnwMg49ih06hQmR1WlRpajRrXLXFjJJLAibbiFHHF4JOj\nXqTSPG5tqYFKAtr1MTvC4pwYK7KQvujNLmKplu6DS61SYdUiN8KjSZzqGCIdTl7gBQE793WA44C7\nKe5Gi2xorgYAfCyjocNUmsfvD3qg06pw67U1pMOZNlVOM1ylBpxoG0AyJa0Xy9wiFtkVcdLphnbK\naBnOeMpsBqhVHHwSkHak0jx6AhFUuyxUOTVdLXLzlE6lefzxSDcMOnVOukI79RUlqHaZ8cX5QG47\nbyFRaCEtDhpKz7FjPGPyjj7CkeSHo+cD6PaHsWaxO2efRTM15RY0VFtxom0AgWFpdHyuxIFT/RgM\nxnHTiipYjNI54s5sOXQhlkjjbJe0Xiw7eoPgOGn55k6H3EIQKRTSMhw0BDINF2epURIvM95ABGle\nkLxGfY67BDUuC45eCCBYhCKu0Bw648NwOIEbl1dJZoaD4zjcuKwSaV7A/iLIXxVZSLd7R1Bi0sJp\no2fRx0xoqLLCaTPgyPmA5FbxTkQQBOzc1w4OwN1r60mHM23Wr6jODB3KoPvACwLeP+DJuqXUkQ7n\nqmnOaveOnZeOvIPnBXT2h1FVZoZBJ42H1HSRkrTDI3Ft7uVw242IxFLUD+KODRpKOwccx+GG5dki\n7qS0Z5gEQcAfDnWBA3Bri3ROKAFgzdIKqFUcPj3WW/DldYorpIdCcQwE42iosknOp3IiHMfhusVu\nxBNpHJOw9RcAHLs4AE9/GKsWlaOyjJ6V4Fdi1aLy3NCh1LXqxy4E4A1EsGaxG2USfMmcX1sKo16D\noxf8ktn62TcYRTwpv0FDAHBYDdCoVZLohnb2h1Bq0Ulqy+10qZDIcpyxQUNpd6QBYM0SN9QqDnuP\neyVzL5qMi94g2ntDaJ7vpHpmaTKsJh1WNDrR7Q/nXpQLheIK6bbcIhbp6qPHIwf3DkEQ8N6+dgDA\n1yTUjQYyQ4drl1ZgJJyQ9EIQQRDwu/2dAIA71swhHM3M0KhVWN5QhoFgHN1+afi4iotY5CYpADLb\n3tx2I3xDUaqLiWAkgaFQXHb6aBFxOY6P8oFDT38IHAfUuKRfSFtNOjQ3OtHtj+Q67VJkd9by7jbK\nLe+mQvSU/rTAQ4fKK6R7M4OGUlzEMhk1LgtqXGZ82TaAiARspibjRPsg2ntDaFngQrUEb6Lrm8VN\nhz2EI5k557tHcLEniOZGJ6qd0jkRmMiKrLzj6Hk/4UimR241uIQdhC6H22HCaDyNYJTee5MnW+jI\nUdYBAOUSGPrkBQEeXxgVDhP0Wmk4BV2JsSJOmrK/wWAMh874UeOyYGEdfRuGp8OyeQ7YzDrsP9mP\nZKpw8lflFdI9QXCQ14PrusVupNICDp+VRvEwHkEQsHNvphstJW30eGpcFjRW23CyfRB+iQ4dit3o\nOyXajRZZNq8MahUnmS2HHf0hqDgOtRRvCpsNYjeU5oFDuQ4aiojbDWmWdgSGRxFLpGV1KrB0ngM2\niw4HClzEFYqPjvSAFwTc3lIjWRmsWqXC2mUViMZTOHKucM8ERRXSaZ5He18QVS6zZKZPp4O4wlmK\n8o5THUO46A3imvlOSXeEpLzpsMsXxvGLA2iqsaGxRtpONmaDFk21pWjvDWE4HCcdzmVJ8zw8/SFU\nOeXThZuI6L5DdSEtU+s7EbtVD61GRfXQp6hhlepGw8lQq1RYu7TwRVwhiCfT+ORoDyxGLdYscZMO\nZ1bktk0WUN6hqEK6xx9BIsnLRtYh4io1orHahjOdQ9QXD+MRBAH/L6uNvmfdXMLRzI5VC8th0muw\n93iv5IYO3z+Q6UZvlHg3WmRFdjkL7QO4vQNRJJK87BaxjCfnJU1xN9TTH4bFqIXDqicdSkFQcRzK\nS43oH6RXq+7xyVNeU4wirhB8frIPkVgKG66phlYj7Zf8yjIzGmtsONUxhIGRWEF+hqIK6bFBQ2l3\n3SbjusVuCABaT/tIhzJtzniGcaF7BCsayiR/rKoThw4jCeoLuPEEhkfResqHapcZyxvoXv06XZpz\nOmm685DbaFgp7d/9y0H7oFs0loRveBR1botkj6+ng9thQixBr1Y9Zz8oM4lTZZkZjdWFLeLyjSAI\n2H2oG2oVh5uvqSYdTl64cVklBAD7ThRGr66oQjq30VBmHWkAaFlYDhXHSUrekXPqkHg3WkQcOpTS\npsPft3aBFwTced0c2RQS5XYTqp1mnOocotpfPTdoKOOOtNWsg0GnprYjLRZwcpV1iNCuVff0h2Av\n0aPEJD/7wRuWF7aIyzenOobgDUSwalE57CXyOKVpWVgOvVaNvcd7wRfgVEZRhXSbNwiDTo0qCfkU\nTxebWYfF9Xa09wapHioROesZwhnPMJbOc8jmxabaZUFjTWbo0CeBocNgNIFPj3tRZjVg1aJy0uHk\nlRWNTiRTPE51DJIOZUo6+oJQqzjUlsvvfiTCcRzcDhN8Q6MFeYDNFrkPGoq4KfaSDkYSGA4nZNeN\nFlm1sBw6rQr7vixMEZdv/pC1vLtdopZ3k2HUa9Cy0IXASAxnPcN5//6KKaQjsSR6B6KYW2mFSiWP\nzttERE/pVgl0pd/7rAOA9LXRE9mQ7Up/KoGhww8PdSOR4nHHdXXQqOV1K2ien9FJ0yrvSPM8PL4w\nqp1myWsQr4TbbkQyxWMoSN/8htyt70TGOtL0veDLVR8tYtRrsGpBOfzDMZwrQBGXT/oGozh+cQCN\n1TbMlZGzGQDcuDzzbC6EXl1eT8/L0N4rr0Usk7GyyQWNWoX9p/qpHSoBgAvdIzjVMYTF9XY0VstL\nr96yoBxmgwafUj50OBpP4aMj3bAYtTm/Uzkxr9IKq0mLYxcHqOwCeQNRJFO8rPXRIjQPHHb2h6HX\nqVFul9bWtquF5o60nNezi0jFU1pcwHL7Kvl0o0Xm19hQbjfi0Fk/orFUXr+3Ygrptp5MId0gw0FD\nEaNegxWNZegdiKLLV9iVmLNh52fycOqYDJ1WjeuXViAYSVDbDQUyNn2RWAq3tdTI0npNpeKwvMGJ\nYCSRe4mmiY5ecaOhfF/sRdx2Oi3w4ok0egcimFNugUom8wFTYTProNep6exI504F5CntAICm2lKU\nlxpx+KwPo/H8FnH5IhpLYt+XfXBY9VjZ5CQdTt7hOA43Lq9EMsWj9XR+T+0VU0hflNlq8KlYQ/nK\n8DZvECfaBrGwrhRNtdLclnQlNjRnJp1p3XSYSvPYdbALeq0at6ysIR1OwaBZ3tEhOnbIXJsLjPeS\npquI6/KHIQjy7oSKcBwHd2lmXTttJzSe/jCMeg2cNgPpUAoGx3FYt7wSiQIUcfliz7FexJNp3Lqy\nBmqVPEvDtUsrwXH5Pxmg5tMSBAEvvPACvvGNb2DTpk3o6urK6/du847AaTPAapbfVPB4ljeUwahX\n48DpfupumID8nDomo8ppRlONDSc7huCj8Cj185N9GArFsb65ChajlnQ4BWNJvQMatYpKO8KOvhDU\nKg41Lvl24UTcjqw+l7JrwaOQQUMRt8OERIrHcIgerXo8kUb/YBR15fK2HwSAdUsrwAHY+yV98o40\nz+PDw93QaVS4cUUV6XAKhr1Ej2XzytDeG0SPP3+n9tQU0rt370YikcBvfvMb/MM//AO2bt2at+/t\nGxpFJJZCg8z0uJOh1aixssmFwWAcF7pHSIdzCZ19IRy7OID5NTYsrJNnN1pkvdiVpmzokBcEfHDA\nA7WKw1dkqIMbj16nxuJ6O7r9EQQoclFJpXl0+cKocVmg1VBzCy4YZoMWFqOWOmmH3DcaTmTshYae\na6HLH4YAZZwKOKwGLJnrwMWeILyBCOlwLuHo+QAGgjGsXVYp6+YKMG5JTh5faKjZk3348GHceOON\nAIAVK1bgxIkTl/36qxGLn/EMAZC/rENkzeIK7PuyD5+d6JtVxysymsyrKH/nuC2Gcu8+tCx04c3d\nGuw73ouN182ZlQYzn3k40T6A3oEo1i2rgMMq36NUkeZGJ45fHMChs37cNItOSz5z0O0PI5VWxqCh\nSIXDhDZvEOHRJDXXQkdfCFqNCpVOU16+H+2IWvVuX3hWLw/5zEFbT6bZI2d99HhuWF6JE+2D+OSo\nF392w8xPZfP9bP7DwYwC4LZr5Sv1E2me74TFqMVnJ/pw1/X1074fXU7tQk0hHQ6HUVIydnFrNBrw\nPA/VFNF/92d7rvpnKKWQXjinFFazDnuOebGHso5oQ5UVi+vtpMMoOFqNGuuWVWLXwS5sfuVT0uH8\nCRuvk8c68CuxotEJ/P4s3vrjBbz1xwukw7kEpUgKgEw39ELPCHXXwtzKEtnqQSciatV//eF5/PrD\n84SjuZRamXpIT+Sa+S6YDRr84VBXzq+ZFpbMdaDKKV9PexGNWoXrl1TgD4eu/tn83k/+bNJ/zwmU\n+KRt27YNzc3NuOOOOwAAGzZswMcff0w2KAaDwWAwGAwGYwqoeRVfuXIlPvnkEwDA0aNH0dTURDgi\nBoPBYDAYDAZjaqjpSAuCgB/84Ac4e/YsAGDr1q2YO1e+zg4MBoPBYDAYDGlDTSHNYDAYDAaDwWBI\nCWqkHQwGg8FgMBgMhpRghTSDwWAwGAwGgzEDWCHNYDAYDAaDwWDMAFZIM3Ds2DGMjNC1BVFpsByQ\nh+WADlgeyMNyQAcsD9JA/YMf/OAHpINgkOHixYt4/vnnsX//fqTTaVRUVMBkUsaWL1pgOSAPywEd\nsDyQh+WADlgepAXrSCuYDz74AOvXr8cvfvEL6PV6GI1G0iEpDpYD8rAc0AHLA3lYDuiA5UFaULMi\nnFEczp07h6amJoTDYUQiEXAchyeeeAI2mw2fffYZli9fjkcffZR0mLKG5YA8LAd0wPJAHpYDOmB5\nkC6sI60gjhw5gm9/+9tIJpOwWCyIRCL46KOP8PDDD2Pr1q149NFH8dZbbyEYDJIOVbawHJCH5YAO\nWB7Iw3JABywP0oYV0gohEong//7v/xAOh/Hyyy8DADZt2oRz584hFosBAJYvX45rrrkG0WiUZKiy\nheWAPCwHdMDyQB6WAzpgeZA+TNohU6LRKPbs2YPGxkY0NjYiHo+jqakJH330Ee6++2489NBDaGxs\nxNe+9jXs2rULoVAI58+fR09PDxwOB+nwZQHLAXlYDuiA5YE8LAd0wPIgP5hrhwz54osv8J3vfAcq\nlQrvv/8+jEYjFixYAIfDgfLyckQiEfz2t7/Fvffei5UrV8JoNGL//v2wWCx47rnnYDAYSP8VJA/L\nAXlYDuiA5YE8LAd0wPIgTzhBEATSQTDyyxtvvAG73Y4777wTu3fvxvHjx7Fw4ULceeedua+56667\n8Pd///e5f5dKpaDRsAOKfMFyQB6WAzpgeSAPywEdsDzIE6aRlgHd3d14+umn8cYbb6C7uxvxeBwf\nfvghAOD6669HfX09zp49i4GBgdyf+fa3v4133nkn9//ZhTo7WA7Iw3JABywP5GE5oAOWB2XACmmJ\ns2/fPnzve9/D0qVLodFosHnzZjz44IPo6enBqVOnYDabMW/ePAwMDCCVSuX+3L333ovt27cTjFw+\nsByQh+WADlgeyMNyQAcsD8qBFdISx+fz4bbbbsPDDz+MBx54AA0NDVCr1di4cSN+9rOfAQCam5vh\n9/uRTCZzf44pevIHywE5xM+Q5YAOWB7Iw3JAFnZPUh6skJY4RqMRN998MwDgxIkTGBymvGCAAAAK\n40lEQVQchFarxV/+5V8iGAzi5ZdfxqOPPoqKigqUlpbm/hzHcaRClh0sB+QQP0OWAzpgeSAPywFZ\n2D1JebBhQ4ng9/tx8OBBrFixAtXV1ZN+zUsvvYTa2lps2rQJABCPx3HixAkMDQ3htttuK2a4soTl\ngDzhcBjnz5/H4sWLodfrwfM8VKpL+wEsB4UnEAjgt7/9LdatW4f6+vpLCgERlofC4vf7sW/fPqxc\nuRJ1dXWTfg3LQeGJx+P49a9/jZtuugnz5s2bdDiQ5UHesI60BHj//ffxyCOP4Msvv8TPf/5z7Nq1\na9Ljn2QyiY0bN2LHjh341re+hUgkgmuvvZZdqHlg9+7d2LRpE44cOYJt27Zhz549LAcE2LVrF37x\ni1+gu7sbAP6kiAZYDgrNrl278Ld/+7cIBoN477338O677076dSwPhUO8Hx09ehT//M//jI6Ojkm/\njuWg8Jw9exZvvfUWfve73wGYfDiQ5UHesHFQykkkEjh8+DC2bduGa665Brt378aePXvgcDjQ0tIC\nQRDAcRxGRkbwP//zPzhx4gRWrlyJbdu2MfP2PHL69Gn8y7/8C6655hrs3LkTBw4cgEqlwg033MBy\nUCTC4TD+93//F36/H62trXA6nbDZbJd8DctBYREEAXv37sXWrVuxYMECvPPOO/B6vQBwyekAy0Nh\n2b9/P7Zt24YVK1bg8ccfx7Fjx1BfXw8A7H5UZHieR3NzM7xeL1pbW7F69WoALA9Kgi1koZBwOIzt\n27dj8eLFMBqN2LFjB9LpNFatWoXS0lK8++67EAQBS5cuhVarBQCcPHkSg4OD+P73v4/7778fZrOZ\n8N9C2pw+fRo//vGPMTw8jJqaGvzxj39ET08P1q5dC5fLhf7+fnR2dmLZsmUsBwVifA4sFgvKy8vh\ndDqxYcMGfPrpp6ioqEBlZeUlf4blIP+IeRgaGkJ9fT3Onz+P2tpauN1unDlzBidPnsTtt99+ibaT\n5SG/jL8Wamtr0d3djQULFiCdTuNXv/oVOI7DwMAAampqcks7WA7yj5iHkZERWCwWlJaWYvfu3aiq\nqkJzczPefPNNDA8PY8GCBbnONMuD/GEaaQo5dOgQfvjDH2LTpk34+te/jpMnT+Lv/u7v8Pzzz+PQ\noUMYHR2F1WrFY489Bq1Wy4YT8sy7776Lt99+Gw899BA8Hg9OnTqF5557Dps3b8Yvf/lLOJ1O7Nmz\nBx9//DG2bNkCs9nMcpBnxuegu7sbra2t+K//+i+MjIzAZrPhlVdegVarxYMPPgiXy5Xr/jDyy8Rr\n4dixY/j3f/93AJmO2/e+9z3cc889WL9+PVscUSAm5uCLL77Af/zHfwAA2tvbcfr0adjtduzcuRO3\n3347brnlFsIRy5Pxeejp6cFnn32G1157Db/85S9x88034+2338YHH3yAr33ta3jqqafY9aAgmEaa\nMsQVoYsXL8a+ffvQ3t6OJUuW4KWXXoLX68XChQuxZcsWBAIBpFIpVjzkEfGdMhAI4P7778c999yD\nP//zP4fdbofL5cLq1avxk5/8BADQ0tICr9fLCrg8M1kOHnzwQdTU1CAej+ekHPfddx86Oztx9OhR\ndh0UgKmuBbfbjXg8DiBj72WxWLB+/Xq88cYb2L59O8LhMMmwZcVUOaiqqkIsFgMAzJ07F3feeSeu\nu+46qFQqzJ8/n2TIsmSyPDzwwAOora0FAHR0dODJJ5+E3W7HCy+8AI/Hg4GBAVZEKwiWacowm83Y\nuHEjGhoa8Pvf/x5vv/02/vEf/xE33ngjPB4PdDodNm/ejLVr10Kn05EOV1aIxVh5eTlaWloAAK2t\nrbnOwubNm/HAAw/glVdewb59+3D99ddDr9eTDFl2TJWDZDKZ+6wFQUBdXR0WLlyIYDDIiugCMJ08\nnDp1Cnv37sV3vvMd2Gw2bNmyBRaLhVjMcuNyORDlG0888QSamprQ2tqKhoYG2O129nKfZ6bKA8/z\nSKfT+PrXv44tW7bA7XZjaGgIkUgkJ/djKAMm7SDIROsu8QYo/u/x48exY8cOPPTQQ1i9ejXOnTuH\n/fv3Y86cOVi/fj3ByOXD+BxMZqW2efNm3HfffTk/0HA4jGPHjoHjOKxdu7bo8cqR6eTg/vvvx4YN\nG3LSjqm+ljFzriYPqVQKu3btwo9+9CP8/Oc/x/Lly0mELDuuJgcA0N/fj8OHD6O0tJTdj/LIdPJw\n77334pZbbkE4HIbFYkE6nQbHceyepEBYxotMIpHAyZMnAWSsu8ZvNJrYRZg3bx5WrlyJ119/HQDQ\n1NSETZs2sSJ6lkyVg4k3wFgsBpvNhmuvvRavvvpqTpO+bt069tCaJVebg5UrV+LVV1/Fs88+i0Qi\nMenXMq6emebhySefxIYNG/DJJ5+wInqWzDQHjz32GOx2O+688052P8oDV5uHlpYWvPrqq3j66acR\nj8ehVqvZPUmhMNeOIrNnzx688soruPXWW/HBBx/g5ZdfRjQahSAIcLvdl7z96nQ6mEwm2Gw2NDQ0\ngOM4dmSXB66Ug3Q6DZVKBY/Hg2eeeQYHDx5ETU0NnnrqKRiNRtLhy4LZ5EA81mbMntnkwWQykQ5f\nFrBrgQ7Yc4ExU1ghXQQEQcgVyHPnzsWRI0fw3nvvIRwO4+GHH0YgEMC7776L22+//U8GFBwOB5qa\nmqBSqVgRPQuuJgeivq21tRVqtRrPPvssvvrVrzLd2yxhOaADlgfysBzQAcsDIy8IjKIRCAQEQRAE\nj8cjPPjgg8LHH38sCIIgDA8PC88++6zQ2tpKMjxFwHJAHpYDOmB5IA/LAR2wPDBmAxP0FIB0Oo23\n334bZ86cAZAZVvjpT3+Kxx57DE899RRCoRDWrl2LI0eOAMhosCKRCBoaGkiGLStYDsjDckAHLA/k\nYTmgA5YHRiFghXSe+eCDD/Ctb30L7e3tqKurAwDs3LkTsVgMb775JkwmE/71X/8VGzduxPHjx/Hi\niy/imWeegdvthsViyXlWMmYOywF5WA7ogOWBPCwHdMDywCgUzEc6TwSDQfzN3/wNKioq8Mwzz6Cp\nqemS/97X14enn34aOp0OjY2NMJlMuO+++3DgwAFs2bIF9fX1ZAKXESwH5GE5oAOWB/KwHNABywOj\n0LCOdJ4oKSmB2+3GypUr0dTUhL6+Pmzbtg3d3d0oKSlBIBBAXV0dXnzxRUQiERw+fBj33HMPXnrp\nJXah5gmWA/KwHNABywN5WA7ogOWBUWiYa0ee4DgODQ0N2L59O9ra2vDf//3fqKqqwle+8hWUlpbC\nZDLhwoUL+M///E/U1dXhr/7qr0iHLDtYDsjDckAHLA/kYTmgA5YHRqFhmw3zzE9/+lO8++672LVr\n15+sj25vb4fNZoPD4SAUnTJgOSAPywEdsDyQh+WADlgeGIWCdaTzzPz583Ho0CHMnz8fbrcbiUQC\narUaAGC325lxexFgOSAPywEdsDyQh+WADlgeGIWCaaTzjNPpxF133YV/+qd/ApDZTsgoLiwH5GE5\noAOWB/KwHNABywOjUDDXjgJw9913Q6VSged5ttabECwH5GE5oAOWB/KwHNABywOjEDCNNIPBYDAY\nDAaDMQOYtIPBYDAYDAaDwZgBrJBmMBgMBoPBYDBmACukGQwGg8FgMBiMGcAKaQaDwWAwGAwGYwaw\nQprBYDAYDAaDwZgBrJBmMBgMBoPBYDBmACukGQwGg8FgMBiMGcAKaQaDwWAwGAwGYwb8f0mwPDy9\n+nwnAAAAAElFTkSuQmCC\n", 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Po61J/dPv8o84WCM9K2VutPhA+z0OTIQTql+XiIioXsmyjEgshbYGt+rXLj6I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\nNuKv//qvkUqlsHz5cmzevLmq16jV46mLLSoqL9A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eyqyJFnv20R1kyHLE/xdr0kX7Y6uJ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P/gwf//jHMT09jQsvvBDr169HLBbDkSNH8OCDD2L9+vV4//vf7+daQ8HNYSyW\n5l7Srd6iiXrN3KIKRdVw/pZ8R78/nZQggIFbt2RV8+QwIGvWO6d4dNgQYD/vbpWUKnIrTDW0ZFMS\nEhKHspB7Wv5rGxsbw2c/+1kcOnQIP/7xj3Hw4EGIooiNGzfik5/8JDZt2uTnOkPDzWEsljQ/sKgP\nWQcNJzro2AGYHWxSSYmlBF1SyhryuaTrX5et1zrnVWmH9TXZz7tzRUXD2EjrZgCCICA/mMIch7KQ\nS9re9Zs2bcI111zjx1p6gheZh3rTfW5pUx+Zmu68Y4clm2IryG5UNR0VTWdGOmByWYMoCEjG3R/w\nYfXzVis1TzLe/aSq6VCrtbY7uyMDSfx6VkZV01uWgBB1iv+CuuRF431Or6J+VO/Y0WFGGjDvBZZ2\ndM6rQSAAM9LdsMpr3K5TBxqHPnkd2mt30NBSH8rCkhlyAQPpLnlZ2sFe0tRPJmdKkGIi1g133nM9\nk5KgLnWwofa8eB5ZmJHunFyuevIyA7CXdDeKbVrfWepDWdgCj1zQNpCOYmeO1Xhz2NCaIMYHJfUH\nXTdwdKaEM9ZmIIqdZ+nYS7o7ioe1uQlJhBQTuEPQAUWtuT5Z0sJ+3p1rNx7ckudQFnJR20B6//79\nq7bBixov2hxZrfR4yIr6xXRBQUXTMb6287IOgAdvuyV7NAgEMA9lZVJxPpfa0GpmXa5XGWn28+5c\nqcvSDg5lITe0vfNFUcRLXvISnHnmmUgmGyfDv/jFL3q6sLCqZ6TdnGyYYkaa+ot10HCii4OGAHtJ\nd6vRLcKbtpnZlIRFmQHcarysUwfYz7sbndZIW72k2QKP3ND2zn/ve9/rxzp6hjU0xc2HJmukqd80\nDhp2F0hb9xUPVnXGylJ6lw2VcGJOgWEYnhyk6weyB8mVZqxV71ynNdKcbkhualvasWvXLsRiMTz9\n9NO44IILIAgCdu3a5cfaQskKdlMJFycbsmsH9Rmrh3S3pR0Z1kh3xesgLpuKo6YbUKucutqKl+U1\nQNO5AZUvl+10mpG2hrJwuiG5oW0gfeutt+Izn/kM/v3f/x2lUgkf+chH8IUvfMGPtYWSrGpIxEVI\nMfcanqSXaqSZkaZ+MTVdQioRw8hgd4NC2KGgO14HcXzJb8/LA5/NX5elHe01aqRXvxYcykJuahsN\n3nnnnfjCF76AdDqNfD6PO+64A9/4xjf8WFsoKarmequpmCgimYixLpT6glbTcWxWxvhotutygEbQ\nwOxbJ7xEOAiiAAAgAElEQVSuz2UQ157s4XhwgC8z3eg0Iw2YBw4X5CqqGlttkjNtA2lRFJFIJOr/\nnUwmEYu5P72pVyiq5smHViYp8UFJfeHYrIyabnRd1gHw4G23vBxNbX5ddoxox4tOTs04GKdzxXIV\noiB09FKT51AWcklHNdJ/93d/B0VRcPfdd+Od73wndu/e7cfaQscwDMhl9zPSgPlByNIO6gd2RoNb\nmH3rjtfZUHaMaK9eXuPRy0wiLiImCrwnOlBUNGTTnU2YHOFQFnJJ20D6fe97HzZv3oznPe95+OY3\nv4lLLrkEN9xwQ8ff4NFHH8VVV10FADh06BCuvPJKvPnNb8ZHP/rR+u/52te+hte//vV405vehHvu\nuaf7v4VPqpqOmm548qGVTkqQVQ2GYbj+tYn8NDVjduyYWNt9IM0a6e7IqgZBcPfwczOW2rTndUZa\nEARkU9yx7ERJqXZU1gFwKAu5p+2df9NNN+HSSy/FJz/5yVNKPDrx+c9/Ht/61reQzZofqH/7t3+L\n66+/Hjt37sSNN96Iu+++GxdccAFuu+023HnnnSiXy7jiiitw8cUXIx73pi+qE15MNbRkkhIMAyhX\nap5ll4j80MhI2yntsAJpBm6dUMpmqZlXrek4abI9pZ6R9u4zi4Nx2tMNA6VyFRvWZDr6/SPsJU0u\naZuR3rlzJ/7zP/8Tr371q/Gud70LX//613HixImOvvjmzZtxyy231P/78ccfx86dOwEAe/bswf33\n34/HHnsMF154ISRJQi6Xw5YtW7Bv3z6bfx1veZl5yLCXNPWJqekSBjJxDGa7e/EGgLgUQ1wSWUrQ\nIdmDw8/NWNrRntcZacC8DqUydyxXI5c1GEZnBw2BRo00pxuSU20D6Ve/+tX4xCc+ge9973vYs2cP\nPve5z+GSSy7p6Iu//OUvP+VgYvNDIJvNolgsolQqYWBgoP7rmUwGi4uL3fwdfOPFMBZLmrWh1AfU\nSg3T8wrGbZR1WDIpiYcNOySrmme1uQAPG3bCy51KSzoloaYbqFTZYaKVUofDWCwcykJuaXvnf/7z\nn8fDDz+MAwcO4Nxzz8Uf//Ef2z5sKIqNuL1UKmFwcBC5XA7FYnHZr4dR44Hpfj1i/ZAVAwjqYUdO\nlmDAXlmHJZPkWOpO1HQdaqXmeSYU4Av+auRyFQKAlAefC5bmzh1Jj+rhe103re+ApqEsDKTJobZP\n4B/96EeYmprC7/3e72H37t248MILkU6nbX2z8847Dw8//DAuuugi3Hvvvdi9ezd27NiBT3/606hU\nKlBVFQcPHsT27dvbfq18PgNJ8veBEj9iZspH1+QwOjrQ5nd3Z90aM4MXT8Vd/9pOhGktUdYr1+HR\nZ+YAAOecucb2mocHUjg+p2Dt2lyoxlKH7RoslCoAgPxQ2rO15QbNZ31VN0Lz9w/LOiyVmoFMOo6x\ndd4lgNYMm9chmUmG4u8fhjWc7tmlsxljazv/fF47nEahWAnl36edXlxzv2obSH/lK1+BLMt4+OGH\n8cADD+Bv/uZvMDg4iNtvv73rb3bDDTfgwx/+MKrVKrZu3Yq9e/dCEARcddVVuPLKK2EYBq6//vqO\nDjXOzcldf3+njk2bgXStqmF62t3yE10zy0aOHV/EtI22YV4YHR1w/e9J3eul6/D04VkAQDYu2l5z\nPCZA1w0cnpoPzcHbMF6DE0vPwBjg2doMw0BMFDC/UA7F3z+M12GhpCKdiHm6LhFmWeTU0QKyUrAv\nl2G8BgAwdWwBACDoesfrG8omcGSmhCNHC4hL7k0r9lpYr0G/a/Xy0vZTygqi77//fjz44IMYHBzE\nnj17Ov7G4+Pj9aB7y5YtuO2225b9nssvvxyXX355x18zKF5OEUuztIP6QKFoZkmHB7obDd4s01RO\nEJZAOoy8HsYCmK3XWLO+OkXVMDpkb5e2U5kkh7K0U6+R7qJ7SvNQlnXD3l5D6l9tn8CXXXYZXvCC\nF+CSSy7BO97xDoyMjPixrlDycvgB235RPygslRsM2ejYYckmG9MN17iyqv5UHwTi8ctGJhVn144W\ndN2AonrfspS16u0Vy1aNdOfXoh5IL5QZSJNtbfcyfvazn+Htb387FhYWcNddd+HJJ5/0Y12h5G0f\n6fjS96i5/rWJ/FIoVZCIi44GhKT5UtkRr6caWsxhIFW2XluBUvF+V8D8+lZGmoF0K0XF/Nl0etgQ\nYOcOckfbQPrb3/42/uRP/gSTk5M4cuQI3vWud+GOO+7wY22hUw+kPXho1jPSKoMH6l0LpQqGsglH\nhwSZfeuM4kNpB2BmvLWagYrG1mun829XgC+X7XTbtQNo6iXNQJocaHv3/+u//iu+/vWvI5/PAwCu\nu+46XH311XjDG97g+eLCxsvG++wjTb1ONwwslCo4c4Oz7gUZDgHpiB+DQIBTa9aTcbZea1bfFfD4\nZYaDcdrrto800DTdcIGBNNnXNiOt63o9iAaAkZGRULWk8pO3faTNr8lDPdSrikoVNd1wVB8NNMqc\nmH1bXT0b6nkQx4NurQTxMkMrKypVpBIxSLHOu29YpR2zi5xuSPa1vfuf97zn4eMf/3g9A33HHXfg\nnHPO8XxhYaSoNSTjMcRE99vkWKOROSKcetXCUseOwZyzQLpe2sF7YVWyDxP1AAZxq2mU13SeBbUj\nywmTbRWValdlHYD5rIlzKAs51DYivOmmm5BIJPDBD34QH/jABxCPx3HjjTf6sbbQUVTNk2y0JZOU\n+GFFPcuNjh0ASzs6xYx08BoHPr0teUklYhAFASW+XLZUUqpdlXUAZnvHkYEk5haYkSb7Vn0Cz87O\n4siRI3j3u9+N9773vX6tKbRkVcNAxrvMQzop8cOKelahZGZ13Aqk+VK5Oi/72jfj9WitUdrhbUa6\n3s+b12BFlWoNFU3vOiMNmAcOj88pqGp6Tw1lofBo+a/mu9/9Ll72spfhHe94B1760pfioYce8nNd\noWMYBhRV8/RDy3pQss0U9aJGRtr+MBaA29idklUNAoCUTz2MuUOwnPVv1OtdAcB8YWKiZWV2OnZY\nrDrp+SLLO8ieloH0P/3TP+GOO+7Afffdh5tvvhmf+9zn/FxX6FQ1HTXd8LQeMZOUUNMNVNlminqQ\nNdVwyGGNdDIRgyCA29htyGUNqaQE0ePD3xm+2LTk12FDAMxIr6IeSNuoVa+3wGN5B9nUMpAWBAFb\nt24FALz4xS/G/Py8b4sKIz8O9mR4yIp62IJLNdKiICCTlKAwaFiVolZ9CeCYkW7Nr17egHkdqpqO\nqsahXadrtL7r/jrUW+DxwCHZ1DKQFk/rTCFJ3j8owszLqYYW9pKmXmaVdgw6DKQBMzDhNvbqZFXz\np6SAw0Ba8mu6JNC8M8DPh9MVy91PNbTk6y3wGEiTPS3v/lKphEceeaReryvL8in/fdFFF/mzwpDw\nYwvP+trMSFMvKpQqyKXjXfVxbSWTiuPoyZILq+pPum5AUWs+ZaQZwLXi5WyB0zXvDAzlnJ1D6DeO\naqQ5lIUcavkUHhsbw9///d/X/3vdunX1/xYEAV/84he9X12IeDke3GJlfthLmnpRoahi2KUP+GxK\nQqWqQ6vprgTm/Uap+JcJZeu11uSyhlTCm9kCp2NGurWibO6GOTlsyKEsZFfLp/Btt93m5zpCT1HN\nujRfMtJ8UFKPqWo6SmUNm8YGXPl61r1QKmuOa677keJTD2mArddW41d5DdDcX50lNqcrKua/zW77\nSAMcykLOMdXTIT+28NIs7aAeVT9o6LBjh4WdIlbnZ7cI6/swgFtOLnvbErUZ+3m35qS0oz6UhYE0\n2cRAukN+HCphaQf1KremGloYNKzOr6mGFmakl9MNA0pF86W8BuCEydVYPxM7gTRgtsBbKFXYepZs\nYSDdIT+miFnTsfiBRb2mMdXQvRppgLszrfidkWbrteXUSg2G4eOuAO+JlopKFTFRQCphb8c4P8Ch\nLGTfqoH0N77xDTz22GP1//7Upz6FO+64w/NFhZEv7e/4oKQe5X5Gmtm31dR3yHzLSFvXg88mi9+7\nAlnu0rRUVKrIpeMQbA4nGhlkL2myr2Ugfdttt+H2229HLper/9qePXvwla98BV/+8pd9WVyY+DKQ\npX7YkMED9ZaFpamGg27VSPPg7aoaGWl7W9nd4lCW5fy+Bny5bK20FEjbNcLphuRAy0D6jjvuwL/9\n27/hrLPOqv/aRRddhH/5l3/B7bff7sviwsSPjLQVPFgdQoh6hdsZaWbfVtcoNfO+fzHAw58rsX4W\nvu0K8OVyRbpuQC5rtjp2WKyhLMxIkx2rTjZszkZbRkZGlk09jAI/unYk4iJiogBZ5YcV9RYrkHar\nj3SagfSqGmUFzEgHxY+WqM2aW0JSQ6lchQH7Bw2B5ow0A2nqXsuIOBaL4eTJk8t+fWZmBrVa9DKm\nsqohGfe28b4gCEgneTqeek+hqCImCq7Vi9an6fGlckXWz8W/GmmWnZ3OugZ+1UiLovX5wGvQrNH6\nzv51yFuBNIeykA0to8I3v/nNeNvb3oZHHnkElUoFqqrikUcewXXXXYc3vvGNfq4xFBSfGu9nkhIP\nG1LPKZQqGMwmINo87HO6DDOgq6pnpH1vvcbrYfH7GgDmzgA/H05VcjCMxZJLxxGXRJZ2kC0tnwCv\nfe1roaoq3vve9+Lo0aMAgE2bNuHaa6/Frl27fFtgWChqDYM+TFhLpyTMn+TNTL3DMAwUShWMr826\n9jVZD7o6P0rNmrGv93L1A+g+ZaQB8zocn1N8+369wMkwFosgCMgPJDndkGxZtU7hjW98I3784x/j\ngQcewP3334/3vOc9+M53voPXve51fq0vFAzDgKJqvnxoZZISKlUdWo2N4ak3KGoNVU13dZS3FBOR\njMcYuLUglzWkEt6WmjWrl9rwetQFk5GOQ63U+PnQpB5IOzwvMLI0lIU/W+pW26fw4cOH8YUvfAG/\n+7u/ixtuuAG/8zu/gx/96Ed+rC00KpqOmm74MsEqwzHh1GPqw1hcan1nyaQ4lroVWfVvoh7AGumV\n1Nvf+ZmR5ufDMm5kpIHGUBaWd1C3WgbSP/zhD3Httdfi8ssvR6FQwM0334x169bh3e9+N0ZGRvxc\nY+D8mGposbYJFWZ+qEcsLHXsGHRpqqElk5Lq9x6dyq8zGxZ27VjOj5aop2OJzXLWy7aTGmmAQ1nI\nvpZPgD/90z/F3r178dWvfhWbN28GANtTg3pdfYoYM9JEy7jdQ9qSTUo4Ml2CbhiuHWLsB7phQFY1\nnOFiTXo7qaQEAcxINwuqtAPgUJZmbmWkOZSF7Gr5BLjrrrtw55134sorr8T4+Dhe85rXRLLtHeBv\n5iHDMeHUYwpFbwLpTCoOA0BZ1Xzrl9wL1EoNhuFvACcuteYs8blUJ6saEnERUsy/uQoZ7lguw9IO\nClrLJ8DZZ5+NG264Affeey/e/va346GHHsLMzAze/va34yc/+Ymfawycn4G09T34oKReUc9Ie1Aj\nDXAb+3SNYSz+BdLW9+O1aFDKmq8vMwBLbFZSUqzSDmfXwirtYOcO6lbbV+lYLIbLLrsMt9xyC+69\n91684AUvwKc+9Sk/1hYaso810iztoF7TOGzoco00J7mtqPE88jdLn03FWVLQRA5gp4Sj2pcrKlWk\nk5LjDjZ5lnaQTV39yxsZGcFb3/pW3HXXXV6tJ5T8PGzILBz1mnppR8ajjDRfKk9hBVHplD89pC2Z\nFFtzWqyWqH5npDmoaLmiUnU01dDCoSxkl3/FXT1MUc3acB42JFquUKoglYghmXA3sMsy+7Yi63nk\nf0aaQZylUvWvJWozJlpOZRgGiormuD4a4FAWso+BdAdkH6eIsUaaek2hVHH9oCHA7Fsrsmq+WPhf\nI80XG0sQPaQBdu04nbVD4rT1nYVDWcgOBtIdCKZrBx+UFH66bmBR9jaQZvbtVEG0XQOYkW5mvUwE\nVdrBHUuTWx07LFbnjnlmpakLDKQ74GuN9NJ2rbV9SxRmi3IFhgEMunzQEGguc+JLZbP6DlkAXTsA\nZqSB4DLS9XuCLzMA3BsPbmHnDrKDgXQH6gNZfHhoppIxDj6gnuHVMBaguUaaQUOz4DLSVlkBr0dQ\n10CKiUgmYiztWFIsu5uRrg9lWWTnDuocA+kO1Es7Et4/NEVBQCopceuOeoKXgTRLO1YWWDaU16Mu\niPHglkyS/bwtjR7S7pZ2zC0wI02dYyDdAUXVkEzEIIr+jCnOMJCmHuHVVEOA9aCtBBXEsYtKQ1Av\nM4BZq85dAZP7NdJWL2kG0tQ5BtIdkH3uF5pJSfUPS6IwawxjcT+QTsZjiIkCt7FPE1RZAbuoNAR1\nDQCze4qiatB1w/fvHTZuB9Jrh82M9HRBceXrUTQwkO6Aomq+Zn8ySQmKWuODkkKvUdrh/mFDQRCQ\n5jb2MrKqIREXIcX8fXxnWdpRF9SBT6BxHZQKr4PbgXQ2FUcuHcfxOQbS1DkG0m2YE6xqvmYe6r2k\n+aCkkKuXdniQkQbMoIGB26mUsv8T9YBGH2nuEASdkebOgKVRI+3edVg/ksHMvMJe0tQxBtJtVKo6\ndMPfCVbWg5JDWSjsCqUKBAADGW+m7GVYD7qMrGr1oNZPbL3WUG+JGsB1YK16Q1Exr4NbGWkAGBtJ\no6YbOFlg5w7qDAPpNvycamjhmHDqFYVSBQOZOGKiN4+STCoOraajqrGvOmDukMkBZaRFUUA6GeOL\nDZoOG/r4uWCxrj2vg1naIcUEJOPuXYexfAYAcGxWdu1rUn9jIN2Gn8NYLGwzRb1ioaRi0IP6aAun\n6Z1KrdZ83yFrlknGOSAH5rNZiomISwEE0vx8qCsqFeTScQiCex211o+YgfRxBtLUIQbSbcgBtJpK\nMyNNPUCt1qCoNc/qowFm305nTTwNou0awNZrFrO8JqhrwFp1S1HRXC3rAICxpUD6GA8cUocYSLcR\nRM9WK3hgCzwKswUPh7FYrBpUnhcwWXWxQZR2AGYAr1ZqkT+IpZSrgV4Dcw3Rvidqug5FdT+QXpdP\nA2BGmjrHQLqNQAJpbt1RD/ByqqGl0aGA2Tcg2EEgQNNBt4i/5IcjIx3ta1BaOmjo1lRDSzIew8hg\nkjXS1DEG0m3IAdRIs7SDeoGXUw0tnG54qiDbrgF8yQeAqlaDVguwTr1+DaL9cul2D+lmY/kM5hZV\nqFUecqb2GEi3wYw00coWlqYaDnpYI91o9cV7AQh2EAjA+lwgPC8zUc9IexlIWwcOT7BOmjrAQLoN\nJYCtVNZIUy/wcqqhpXHYMLqBW7OwBHFRrs8NvryGGWmgaRiLB728x1gnTV1gIN2GUja3dvzNSLMO\nkcJv3s/SjggHbs2CaMfZjO0Ig3+ZiUsxxCUx0tcA8Li0Y4S9pKlzDKTbCGIgSyphfq+oZxwo3Kyu\nHcNetr9jIH2KoEs7MpyqF3hG2vreUb8nimXvSzuYkaZOMJBuI4gMkBQTkYzHmJGmUCuUVEgx0dPd\nGnaJOFXQ2VBmpIM5N3O6bCoe+XvCy4z0mqEUYqKAY3MMpKk9BtJtWA/NVMLfh2YmJbFG2kO6YeC+\n/z2KHz5yOOil9KxCqYKhbMLVqWKns3aCopwBbdbIhrofPHQizR2CwF9mgEZG2jCMwNYQtHqNdNr9\n6yDFRKwdTuP4LA8bUnvBPQl6hKxqSCViEEXvgoWVZJIS5ouqr98zKo7Pyvj37z6JfYfnAQAXnj2K\nkcFUwKvqLYZhoFCsYPP6AU+/T0wUkUrEIp0BbabUB7L4P5oaYNcOIBylHdmkBN0wUK7UAs2MB6m4\n1Efai4w0AKzPp/HorIyiUvXse1B/YEa6DUXVAnlQpZMSZDXaGQe3aTUd//eBZ/HhLzyEfYfn64fk\nJqeLwS6sB5XKGmq64elBQ0uW9aB1sqohLomIS8EE0qxZb85IBxdccVCRWdohwJuuHUDjwOFxlndQ\nGwyk21BULZAtvExKgmEA5QobwrvhuWOLuOnWR/CNnxxEJiXhXa/9Dbz5Fc8DABw+wUC6W35MNbSk\nk3HIanQDhmayGmwGku0Igz/wCTQf+ozuC01JqSKTkjzbLR7jgUPqUDT3hDpkGAYUtYYNawIIpJt6\nSUd1684NarWGb/3sGfzgocPQDQMv+s0NeONLtyGbiuPEvFn/NjldCniVvWdhqexo0KeM9OR0Dbpu\n+F5iFTZKuRpYfTSwdBA6EYt0ACfXy2uCPGzIQ59Fper6ePBm65d6SR9jnTS1wQhtFWq1Bt0IZhRs\numk08ojv370//PrZWdz6vX04Ma9gdDiFa/aeg/O2NH6aa4dSSCZimGRGumv1jHTOu2EsluYx4VGu\nVTQMA7KqYe1wOtB1ZFNSpAM4RTV3CYM9bBjtjLRhGCgqVawZ8u5sCzPS1CkG0quoPzAD2MKzHtJR\nfVA6USpX8bX/ego/fewoBAHYu2sTfv/FZyIZP7WuVBQEbBzN4eCRBVQ1HXGJlU6d8mMYiyXTNMkt\nyoF0VdOh1YxAAzjArA0+uRDdLJ2sVhETBSTiwT0voj7dsFypoaYbnj4PhgeSSMRFBtLUFgPpVcgB\n9gutB9JsgdeVR548gS/9cD8KpQomRnN466vPwZkbBlv+/ol1OTw1VcCRmZLnHSj6yYKPNdLsJW0K\nQ7cIgKU2ctkst/Oy7WM7mYiXdng5HtwiCgLG8hkcn1NgGEag15vCjYH0KpQAphparNIO9pLu3Jfv\n3o+7H5mEFBPx+kvOwit3bYIUWz1rtHE0C8Ds3MFAunOFklkjPeThVENL44BbtO+FMPQvBlhqI6ta\n4C8zjURLNDPSXk41bDY2ksHhE0XMFyvID3hfxka9iYH0KoKYamhhaUd3arqOe/7nCNYMJnH9Gy/A\nhjXZjv7cxLocAHbu6JafXTusoEWJ+L0Qhol6QNMOQURLbZSyhrwPZwNW0+jnHc17ojHV0Nt7YWzp\nwOHxWZmBNLXEotBVWEEsSzvC7+hJGVpNx3lbRjoOogFgfK0ZSLOXdHcKpQoyScmXfsYcAmIKS2lH\nlMsKtJqOiqYH/jIT9X7eXo4Hb7Z+6cAhR4XTahhIryLIDFCaWbiuHD5uBsKbxrorz8ikJKwdSrFz\nR5cKxYovZR0Ax1JbwlLakY3w9QjLy0w24l07SktTDb1sfwewcwd1hoH0KoIMpJmR7s6hE4sAgI1L\npRrd2LguhwW5Wi9XoNVpNR1FpepLWQfQFLhF/F4IwyAQoNF6LYo7BEpIXmYScRExUYhs1w6/M9LH\n2UuaVhHI0+B1r3sdcjkz4JmYmMB1112H97///RBFEdu3b8eNN94YxLKWkYOskWangq4cWspI2wmk\nJ0Zz+J8DM5g8UcTQmeza3c6ibH6I+TGMBeBhQ0tjEEiwdclRLisIS0ZaEIRI9/P2K5DOpePIpiQc\nY0aaVuH706BSMbN+X/ziF+u/9s53vhPXX389du7ciRtvvBF33303LrvsMr+XtkywGWmz9lSJaMah\nG4Zh4PCJItbl07au1camA4fnM5Buq96xI+vP4ZtM0+G2KAtLENeYqhe96xGW8hoASKfikb0nSj4F\n0oCZlX722CJquo6YyE18P9R0HYaBtl23wsL3VT755JOQZRnXXnst3vKWt+DRRx/FE088gZ07dwIA\n9uzZgwceeMDvZa0oyK4dcSkGKSZCXhoKQ63NLaooKlVsspGNBti5o1sFaxiLTzXSUa7JbaYEePi5\nWZSn6jVeZoLvVmJlpA3DCHopvrMy0l7XSANmnXRNNzBTKHv+vaLMMAw8NVnAbd/fhz//3H244f88\ngKqmB72sjvj+RE6lUrj22mtx+eWX49lnn8Xb3va2Ux4E2WwWi4uLfi9rRdZkw6A+uDIpiaUdHaiX\ndXR50NCybjiNhCSyc0eH/Gx9BwBxSYQUEyK7jW0JstSsWTbCXTuCnC1wukxKQk03UKnqSCaCX4+f\nikoVCUlcNq3WC40WeArG8hnPv1/UHD1ZwgOPH8d/P36s/rIiCIBhAM8dW8S2iaGAV9ie70/kLVu2\nYPPmzfX/f3h4GE888UT9fy+VShgcbD2JzpLPZyB53HqrqhsQBGDj+HAgE7wGMgmUlCpGR4MbFBLk\n9+7UyV8eAQDs2D5qe72bNwzimSMF5EeyodxOCtN10JbeezedMezbunKZBCpaLdL3Qv3nPjGMVCK4\nYFpaysbWjGB+JkFeByFmfuZsWDcY+L+HkSEzwEvnkliz9P/7Jei/u1KpYTCb8GUd27esAX76DEqV\nYJ8/pwvTWro1u1DGvf8zhZ/84jCemiwAAFKJGF5y4QQuvXAjFooqPvXlX+DInIIX/NZEwKttz/en\n8Te+8Q3s378fN954I44fP45isYiLL74YDz30EHbt2oV7770Xu3fvbvt15nzo67hQVJFKxHDyZDCZ\nyoQk4rhSwfR0MBn60dGBwL53N548eBIAMJSSbK93fT6NA4fn8b/7jmNi1F6JiFfCdh2OLHVIMTTN\nt3Wl4jEslKJ9LxQWyoiJAhbmZSwGOK5Yq5nbrbMFxfefSdDXYXrW/CyoqtXA/z3Elv4JHJqah17x\nb3cg6GsAAAslFWuH0r6sIyOZP+inDs8F/ve2hOEadEtRNfxi/zT++/FjeOK5ORiGOYb9N7euwe7z\nx/Bb20brOyuzSz/zX+47gT071ge57FO0ennxPZB+wxvegA984AO48sorIYoiPvGJT2B4eBgf+tCH\nUK1WsXXrVuzdu9fvZa1ILmuB1iNmUhK0moGqVvNl8EWvOnRiEQOZOIYd1OxaBw4nTxRDF0iHjVXa\nMezjdLdsSsL0vALDMCAEGEQGyRpNHfTfX4qJSMTFaNZIh+iwYVTPDmg1HYpa822q5rqm6YZkz/99\n4Fl8+75nUVmqed56xiB2n78eF527DoOZ5Z/bI4MprB1K4cDkPHTDgBjyZ77vT4N4PI5PfvKTy379\ntttu83spbSmqhvxgcGNBm8eED+UYSK9ELmuYni/j/C15RwFGvXPHdBHt90OirVCqQBQEX8dDZ1Lx\nyBjztY4AACAASURBVNaDWuSyFooADjAHgkSya0dIOqcAjTaIUbsOVm2+HwcNASCVkJAfSDKQtkmt\n1PDNnz6DdFLCq3dvxu+cP9ZRrfn2iWE88PgxHJ0pYTzkya3wFYOGhGEYUCrBZ6QB9pJezWFrEIvN\ng4YW60adPFFyvKZ+t1CsYCAb9/XcQCbCLdcsVkY6DDIpKXKZUCA8nVOA6PbzLsrmjpifL/Jj+TRO\nLqioVNlFq1tPHymgpht40Y4N+L0Xndnxgc3tG81DhgeWaqjDjIF0C+VKDYYR7BZeOhnNB2U3Di21\nrLPb+s6SS8eRH0jWA3NqrVCq+NaxwxL1l8qqpqOq6aEI4AAgm5SgqBpqem+0p3KLrGoQBIRiV8Qq\nrTq5EK22bI1hLP7dC9aEwxNznHDYrf2H5wE0AuNObZ8YBgAcmJx3fU1uYyDdQpDDWCxWEK9ENHjo\nxGGHre+abVyXw3yxgkWZo8JbKVc0qNWab8NYLJmIv1QG2dN+JaPDaRiIXmAhq2Z5TRhqNidGswCA\nqelo7aIVFfNeyPnYy3vdUhb1uA9NDvqNlVG2AuNOnbEmg1w6jv2HmZHuWaEIpCOehevEoROLSEgi\nNow47+9pHTKcjNgHUzf87iFtyUZ4CAgQrtpcoFEKFbUgLugD6M3yA0mkkzFMzUTrGljlXX7VSAON\njDRHhXdHq+l4eqqA8dFs16U4giBg2/gQTi6UMRvyXRcG0i1Yw1hY2hFeWk3H1LR5EMGNet2JdWaG\nZ5ITDlvye6qhJeo10o1uEcFP1AMa2dCoDTEKU526IAgYX5vD8Vm5ZybAuaHo43hwy9hIYygLde65\nY4uoaDrO7jIbbemVOmkG0i3IIZhgVd/OZkZ6RUdmSqjpBjaNuXOid+M6szzkcMSCg25YGelBv2uk\nI/5SKatm8JAOSRAXxYx0TdehVmqhKa8BgPHRLGq6EamOEkEE0qPDaYiCgGMs7ejK/qX65rM32gyk\ne6ROmoF0C2GoSbQyH6yRXtlhlw4aWtaPpCHFBGakV1EoqgCCKO2I9ktlmPoXA8BwLoFsSsJkhMoK\nrF3KsJR2AMD42qWdgZnoPLOCCKSlmIi1w6lIvbC4Yf8hZ4H0lvUDiEti6OukGUi3IIehRjriWbh2\nDrl40BAAYqKIM9ZmMTVTgq4brnzNfhNUjXQmFc2euZYwvNg3M8sKsjgxJ0emJVjY6tSBaO4MlBT/\na6QBs056Ua5G9hnULd0wcGCygNHhFPID9g6nSzERZ20YxNR0EXKIf+4MpFsIw2HDNEs7VnX4xCIE\nABtdbNa+cTSHqqbzdHYL9UDax6mGQNPuTERfKusv9mEK4tblYBjA0ZPRuFeUkNWpA2ZpBxCtQLqo\nVCEI/r/QNCYcsk66E1PTJciqZrs+2rJ94xAMAE9NLbizMA8wkG4hDIF0VBvud8IwDBw6XsTYSMbV\nnq4T1oRDlnesaCGwrh3WYcNo3gthK+0AgIm10TpwaGXEwpSRHswkMJiJR+YaAGYgnU3FfW9BaHXu\nYHlHZxr9ox0G0j1QJ81AugU5BFupyXgMoiCwRnoFJwtlyKrm2kFDixVIR+mDqRuFYgWJuIiUzwMp\nUkkJAhDq7T0vsawgeGH4TFjJ+GgOM4UyypVofE6UlKrvZR0AMDbCXtLdsALf5zkMpLeND0EQgAOH\nGUj3nDBkpAVBMEfxMpBexppouNGlg4aWjRwVvqpCScVQNgHB52yQKAhIJ6N7LyghzEiPR6wFnhyi\n8eDNrAOHR2b6P8AzDAOlsubrVEPL+jx7SXfKMAzsOzyPwWyiXhJjVzopYeNoDgePLoa2zSMD6RaU\nkDw008lYZLNwqzl03Bzlvcmlg4aWwWwCQ9kESztWoBsGFkpV36caWjIpKbqlHSHMSGdTceQHkpEZ\nCKKE8BoAzXXS/f/MUtQaarrh61RDS34wibgkska6A9PzCgrFCs6eGHIl6bJ9YhhaTcdzxxZdWJ37\nGEi3oKgaBACpAPtIA+bBlqhm4VZTb33nciANmOUdJxfKrE0/TVGpQjcM3+ujLVHenZHLGkRBQDIe\n7PPodOOjWcwtqpHoZBDm0g4AkXihKZb9b31nEQUBY/k0js3JMAx2dVqN1a7Obtu70zUGs4SzvIOB\ndAuyWkMqKfl+oOF0mZSESlWHVgvnlkZQDh1fxNBS9tht9fKOCGR4urGwNNVw0OephpZsKg61Uovk\nvaCoGtLJmO8lNe1MrI1OnXT9wGfYMtJro5ORDqr1nWVsJAO1Uqt3L6KVWQcNXQuklw4c7g9pnTQD\n6RYUVUMm4Gw00Mh+8MBhQ1Gp4uSCio0uHzS0WKPCWd5xqvlSMMNYLFGe9Bmm0dTNolQnHdaMdDop\nYc1gKhLDcYIYxtJsLM/OHZ3YPzmPdFLChEutafMDSawdSuGpqQL0EO4GMJBuQVa1wOujAfaSXklj\noqH7ZR0A6jd/FIKDbhSKwbS+s0S5l7Rc1kLVv9gyEaHOHWHNSAPmC02hWKkHmv0q8EB6xDw4xwOH\nrc0XVZyYU7B9Ygii6N4O2vaJYZTKGo6G8IWRgfQKdMNAOSSBNMeEL3e4ftDQm4z0hjVZxESOCj9d\no4d0cIcNgej1ktZqOtRqLZQB3IY1GQhCNMoKrGdwKhG+6xCVA4dBB9L1XtJzPHDYSr1/9MSQq1/3\n7KU66f2T4RsXzkB6BWqlBgPBd+wAOCZ8JYc8PGgIAHFJxPo1GUxOl0K5jRSUxlTDoDLS5oenrPZ3\n1u10YRsP3iwRj2Fd3rxX+v0AlrxUp+5mls0t9Vr1EGbr3GRlgtcMpQL5/mMcytLWgaWDhs/bmHf1\n64Z5MAsD6RWE6YMrzemGyxw6vohkPIZ1w876U65m47oc1GoNM/PMPFgKAU01tGQjei/IIehpv5qJ\n0SxkVcN8sX8PYBmGgblFNbBMaDtRGRX+9GQBcUl0fX5ApwbScWSSEks7VrHv8DzikogtG9xNdG1Y\nk0EuHa8H6mHCQHoFYfrgivIBq5VUtRqOnpQxsS7raWbI6txxmINZ6gpF87DhYMCHDaNW2hHW/sWW\n8QiMCj8xp6CoVHHmhsGgl7KiKJTYKKqGw9NFnLl+AFIsmNBFEASMjWRwYk6Brvf3DowdcrmKqeki\ntp4x6Po1EgQB28aHcHKhjNmFsqtf2ykG0isIw1RDC7t2nOrIjIyabnh20NDCUeHLFUoV5NLxwD7E\n6qUdEehZ3MzK9GZDGkhH4cDh/kmr7tOddl5ui0sxjOUzmJrp3xKbZ44uwDCArS7X3nZr/UgaNd3A\nTMiCuTA4MFmAAe/uE6ud3v6QlXcwkF5BI5AOQfu7iG5nt2JNNPSq9Z1lop6RZiBtWShVAivrAKJ7\nLzw9ZW5lhjUbGoUWeE8tHXDaNh5sELea8dEsSuX+LbF5aioc14At8Fpzu3/06awDjAdCduCQgfQK\nGuN4g6+HY/u7U1kHDTd7dNDQMpxLIJeOs3PHkqqmo1TWAivrAJpqpCN2L+w7PA9BALaGNIgby2cg\nxcS+zkgfmCwglYjVe8yHUX0wy0x/PrOsQDro+8A6cMg66eX2T85DFARsHffmpX/z+gEkJDF0ddIM\npFegqDUAIclIs2vHKQ4fX4QgND40vCIIAiZGszgxr6Bc4c++YA1jCahjB9B4sY1SjXSlWsMzRxaw\neWwgFKVmKxFFAWeszeDIyVJf1o0uyhUcm5Wx9YxBxMTwfmT2c4mNbhh4emoBY/k0BjPBPYOAphZ4\nDKRPoVZrePboIjavz3nWIlKKiTjrjEFMTRdDVeIX3qdCgGYKZqeGoG9YgH2km+mGgUMnitiwJotE\n3PuXnI1Lddj9+MHUraA7dgDNL5XheYB67eCRBdR0w7OtUrdMjOZQ1XSc6MMuN1YmNKz10ZZ+7txx\ndKYERdUCL+sAgHV5s1sUe0mfyq9n1baJYRho3JdhwEB6BU8+N4eYKOCsM4KvSUwlJQiI3nb2Smbm\nFZQrNWzyqfVRfVR4H9d+dmqhGOwwFsDs752QxEjtzlg1h88LeSBdr5Puw1Ioqx5zW8CH3NpZl09D\nigl9WdpRL+sIwTVIJyUM5RLMSJ/mgFUf7fEL59khrJNmIH0auVzFs8cWcdYZg6GYYCUKAlJJKVLB\nQyuHjpsfEF4fNLRYvUr7MTjoVhgy0oDZVz1K98I+a0pYyAPpellBHw4EeWqyAFEIR2JlNTFRxIY1\nWUzN9N8gqbAcNLSsz2dwslBGVasFvZTQ8OtZtXV8CILQCNzDgIH0aZ48NA/DAM7d7O5UHicyyRiU\niE1zW4nXEw1Pd8aaLASBgTTQCKQHA6yRBoBsKh6Z3RmtpuPpqQLGR7OhHQRiqR9067Pdm6pWw7PH\nFrBxzLu6TzeNj2ZRqep9N0jqqakFpJMxnOHx2ZhOjY1kYMDsL05Lz6ojBYyv9f5ZlU5K2Lguh4NH\nF1HVdE+/V6cYSJ/m18/OAQDO2zIS8Eoa0sk4ZJVvvoet1nc+lXYk4jGsH8ngcATGH7cTlox0Zikj\nHYXr8dyxRVQ0PfT10QCQH0ginZQw2Wf1uc8cXYRWM7A9JJnQdhovNP1zHRblCo7Pyth6xhBEIRzj\n2cdGzDrpY7MMpAFzt7hS1X3bOds+MQytpuPZYwu+fL92GEif5onnZpGIi6HaxsukJJRVre+267p1\n6EQR+YGkr4dAJ0ZzUFQNJyPefN+aajicC65GGjAPHOqGgXKl/18se6U+Gmh0uTk+J/fVdveByd4o\nrbGML5XYTPZRic3TU2awFJayDsAs7QCA43Oskwaa+0f7c43C1k+agXSTuUUVR0/KOHvjcGDT21aS\nSUowAJQjsqW9kgW5grlF1bdstKU+4TDio8IXShXERCHwMdXZCA1lsT6cwt4twjI+moNhmNNH+0Uv\nDGJpNtGHJTZhOmhoYS/pU+336aChxXomhqVOOjzRYgg8+dxSWcfm8JR1AE1DWSIQPLRyuF4f7W8g\nbQXuUe/cUShVMJhNBL61mklavaT7+8yArhvYP1nAunwa+YFgdwE6NTHaXwNBdMPAU1MFrB1K9cw1\nGBlKIZmI9dWhz6emChAE4KwQTfYcHU5DEIATDKShGwYOTM5j7VAKI4MpX75nfiCJ0eEUnpoqhGKn\nnoF0kyeemwUQroOGQNNo5AhnpA8vdezYtM6fg4aWjaPs3GEYBgoBjwe3RKWv+uR0EYqq9UR9tMWq\nz+2XOumjJ2WUylp9G7kXiIKA8bVZHDspQ6uF4yCWE1pNxzNHFzAxmgvVQKK4JGLtUArHeNgQR2ZK\nKJX9f1ZtnxhGqazhSAheGhlILzEMA79+bg65dNy39mqdsgZR9HvwsJpDJ8yDhn5npEcGrUNU0Q2k\nFVVDVdNDFUj3+3RDv7dK3TDeZ5P1nlqqj97WQ9cAMF9oarrRF32OD58ooqrpoSytGRvJYKFUifRO\nMdDUP9r3QDo8ddIMpJecmFMwu6DinE3DgW9fn46lHeap4FQihrXDaV+/ryAI2DiaxbFZGZVq/xyi\n6ka9Y0fAre+A5kC6v0s76oH0pt4J4nLpOIZzib556bQ+oHspIw00vdCEIFPnVJhr1Md44BBAo390\nEBlpoHEgOEgMpJc8sVQffW6I2t5Zol7aUanWcPRkCRvX5QJ5yZlYt3SI6mTvfzDZUViaajgY4FRD\nSzZl1kgrffxSaRgG9h+eN+sAh/ypOXTLxGgOc4tqX4xxf2qygExSCk3v4k7Vp0z2wc5AGA8aWtYv\nHTjsh8y/XYZh4MBkAYOZOMby/ia5NqzJIJeOh+LAIQPpJb9+1qyPPi9k9dFAo7QjqoH01EwJhuF/\nfbTF6txh1WlHTVh6SAONe6GfSzuOzcpYkKs4e+MwhJDtjrXTL0FcoajixLyCbRPh6V3cqX7q3PHU\nVAGD2UQoXygbvaSjG0jPFMqYW1SxPYBnlSAI2D4xhJMLKk4Wgm1Py0Aa5qnTJw/NY2QwiXU+v1V1\non7Aqo+Dh9UcOh5MfbTFOnAY1c4doQqkI7A7sz+grVI39Muo8AMhLiloZzCbQC4d7/lrMLtgBmnb\nxodC+ULZ6CUd3QOHQT+r6uUdU8FmpRlIw8w0FpUqzt2cD+UNm454Rtrv0eCnGx/NQkB0O3cUSuYw\nljDUSI8MpiAKAp6eCv6AiVeC/nByopGR7u17xSop6LX6aMDM1I2vzWJ6ToHaw+c6rGsQ1peZkcEU\npJgY6Yx00Ieity8NgDlwONjPAwbSAH4d0v7RlkyEhlCs5NDxRcREAWeszQTy/VMJCaP5NCYjOip8\noWgdNgy+RjqXjuM3zhrBs8cWez7j1sr+w/PIpeM4Y00w/96dOGON+dLZ6507DkzOIyYKODNEvYu7\nMT6a/f/bu/PoqMvz7+PvmcnCJJNlQjayQ0ISdgiLAiq4oIJKccH2eaz0qaf2Z0+PVKmtx+PeXy20\ntse69Hh6Sk97bLXVUqW4YaSICIhh3yEEQlYSkpBkMpNkMsv3+SPMGDBsYZLvMtfrn55qkFs+zsw9\n9/e6rwsFOKnjex1avmgIYDabSLNbOdXaGZafCwDlte1Yoy1DPigtIDctjqgIs+oXDmUjzdf9o4s1\nWB8N4d3+zu9XqD3lYsTwGCIjLKqtIzvFhrPLQ9uZTWU4CZZ2DOFo9guZPWEEAFv2nVR5JaHX3N5F\ni8Oty/pogKhIC6l2K3VNTt1uLtw9PqobneSmxxEVqd57zpXIMkArwoq6diIsJnLTtdWOtq+0pBi6\n3D4cnfq/XHu52p1uGk93UpCZiNmszntVhMXMqIx46ppcqnZyCvuNtNfnp7ymjRHDYzQ7vSqcSztO\ntfU+nsxW6aJhQHBUuM4fWQ9Eu6uHYVEWoqO0samYXDCcmOgIvjzQgN+vz83a+ei5rCMgK8WGq9ur\n2y+dx0868PkVXZZ1BARKbPS6ke77ZUbNA5SLCXSqCMfOHYF7BIXZ6r5OCrISUUDVcr+w30gfr3fQ\n4/FrtqwDer91RUWa6ejU5wfTlQhcNMxVeUhOVhhPONTKVMOAyAgLV41No83Zw4Ez3XaMIrCRLtLx\nRjpT56PCg4NYMnWcQWDKpE4zONHgwK8omi3rCEg70wIvHOuk1eoffa7ARr5cxTrpsN9IHzzzQTwm\nT5tlHQH5GQnUNrnC7kS05szGNVuli4YB2am9H0w1YbaR9vn9dGhsIw0wa0I6AJsNVt5xpKadYVHq\n1RyGQmbwS6c+T0P1Ooilr5hhkdjjonV7Iq31i4YB4dxL+mhNGxEWM3np6t4jyM9IwGRSdzBL2G+k\nD1W1YjJBscYniN04NQuAddtrVV7J0Ko6cyKt9sYiOdFKdJQl7FrgdXR6UIB4DVw07GvUiHjSk2LY\nWd5siOEf8HXN4egs9WoOQyFLxyfSfr/Csfp20uxW4jX25fFyZabE6nY4TuCiYb7GN9LheiLd2e2l\n5pSTURnxREaou420RkeQnWqj8qQDj1edLjVhvZHu7vFyvN5BXnocMWcmpmnV5IJkkhOG8eWBhrAq\n8ahpdDI8PhqbVd18zCYTWSmxNLR04vH6VV3LUApMNdTaibTJZGL2hHS8Pj9lh0+pvZyQKNdIzeGV\nSrVbibCYdTmUpa7ZRZfbF+xPq2dZyfrs6a0oChV17SQnDCNRY1/gzxUfE9k7Xa+2XdetBi9XRV0b\nCuqXdQQUZifi9SnsPaZOqV9Yb6TLa9rx+RXGaLg+OsBsNnHT1Cw8Xj8b99SrvZwh0e500+7qUf2i\nYUB2ig2fX6GqoUPtpQwZLQ1jOdfMcemYME55R3l1oD5a22VmF2Mxm8kYHsPJZpfuLoMGHg8X6Lis\nI0CvUyYbTnfi6vbqIgOTycTcKZk4uzxs3B0en8vwdT2yVr70z52ciQn48MsTqnQLCuuN9KEqfdRH\nB1wzMYPoKAvrd9bh9Rn/VLQmOIhFG/WiU4tSAfhoa5XKKxk6wWEsGtxIJ8UPY+zIJI7VOQzxaPVI\nTRuREWbyRmjji+OVyEyJpcfrp6lNX1PfKgxQHx3wdecOfZXY6KU+OmDetCyiIs2sLasOi89lgPLa\nNswmE/kZ2sgoIzmWksIUTjR0qHIBPbw30idaibCYGa2TF2zMsAiumTCC1g43O440qb2cQaf2RMNz\njc2zU5CVwO6KZipPOtRezpBwBE6kNTDVsD+zx/deOtyyX9+n0q5uD3VNTvIz4omw6P9tOdjlRmen\noUdre4fhBC6R6dkInQ7HOaazjXRcTBRzJ2fS2uFmy/4GtZcz6Dq7PVTWO8hJswVb82rBbbNyAfhg\ny9AfdOn/HXuAOjp7qD7lpCAzXldN92+amoUJ+HR7jdpLGXSB1nc5GulgYDKZWHTNSAD+s6lS5dUM\nja9rpLVZqzilMAVrtIUt+xvw63QACPR2itBSzeGV0uNp6GlHNy0ONwWZCbochnOu6EgLKXYrdc36\nmshaUecgOsoS/G9ID26ZkUOExcRHW6vw+Y19Kv3Bl1X4/AozxqSpvZSz5KXHM35UEuU1bcE2okMl\nbDfSh8/UI47J0359dF9pSTFMzB/O8XqHqg3Ih0J1oxNrdATDE4apvZSgMbl2CrMT2XushWP1xv7z\n95+59ANodlhRdKSF6cWpnHa4OVzVqvZyBswI/aP7Cp5I6+iiW7DtnUbqPkMhMzkWZ5cn+GRJ61zd\nHuqbXYwaEY/FrJ/tiT0umtkTRnCqtYvth437tLi5rYt122sYHj+MG6dmqr2cb7h9Zh4AH345tKfS\n+vkvNcQOnamjGavRseAXMm96NmDsU+nmti4aT3eSk2rT1OlQOJ1Kb957khMNHUwvTtV0K7BZ43tH\nhuv50mF5TRsWs4lROnmcfTH2uGis0RG6OpEO1kfreBDLuTJ19oXmWF1vyZxeyjr6mn9VDiZT74U3\nPT8du5B/bzyO16dw95xRmpw4WZidSGF2IvuOtwxpU4Cw3UgfrGrFGm3R5cWeMbl2MlNi2XGkidOO\nbrWXE3KKovDGJ0dQgOsmZ6i9nG8ozrVTnJPI/uOngye2RuPq9vCvDceIjrTw7RsK1F7OBY3OSiA1\n0cqOI010ub1qL+eydfd4qWroIC89jmgdlZldiMlkIjMllsbTXbppF3m0rnfARG66/j4TzidLZ6PC\ngxcNdXjZM9Uew1Vj06htcrG3okXt5YTc8XoHXx1sJC89jhljtVXW0dftM8/USn95Ysh+z7DcSLe0\nd3OqtYuibLuuHh8FmEwm5k3LxudX+GxXndrLCbmtBxvZX3ma8SOTuFqjL9hvBU6lvziu8koGx7sb\nj+Ps8rBwdh5J8dopremPyWRi1oR0erx+tuuwp/Sxegc+v2KY+uiArORY/IrCyRbtb+K63L0DJkaO\niFN9wEQoBUaF6+XJQKBcMT9D3Wl5A7Xg6q83cXqqS78YRVF4Z/1RAL59QwFmDT0lPte4kUnkpsex\n80gT9UP0JMY47xiX4WCg7Z0OyzoCrh6bhs0ayee76+kxUCP4js4e/rHuKFGRZu6/pUhTZR19FeXY\nGZNr58CJ1iG/2DDYqho62LCrjhHDY4JlRFo360z3js06vDUf6B9ttI10oKxAD6ehx+sdKAqGGMTS\nV1pSDBazSRdDWXx+P8frHWQmx2p+QNr5ZKXYmDI6meP1Dl3f2TjXrqPNlNe2M2V0MkU52t43mUwm\nbp+Zh8LQtaoNy430oTP/geulf3R/oiItzJmcgbPLw9aDjWovJ2TeXl+Bs8vDomtGkZJoVXs5F7To\nWuPVSvsVhb+XHkFR4P/OK9RNK7bkBCvFOYmU17RxSme9i8tr2jBhjN7FfQXKCmp1MCrcSINY+oqw\nmEkfHkNds0vzdbu1p1y4PT7NjwW/mNvOXHj7YIgvvA0Wr8/Pvz6rwGwycc/cfLWXc0mmFCaTmRzL\n1gONQ9LLXh+fkiGkKAqHTrQSHxsVfOylVzeUZGExm/h0W40hHiMdqDzNlv0N5KbHMW96ltrLuajR\nWYmMG5nEoapWjlQb4/Rh876THKt3MK04lXE662gze0LvpcMtOrp06PH6OVbvIDvVpttTuPPR04l0\noGOHHi+5XUxmcizuHh+n27V9n0Zvg1jOZ1RGPGPz7ByqajVEZ6fPd9fT2NrF3CkZjBiujz2T2WRi\nwcxc/IrCx19VD/7vN+i/g8bUt3TS7uphTK5ds2UDl8oeF8204lTqml3BU3a9cnt8vPHJYcwmE//v\n1mLd1K4HOnis/kL/p9Kubg//+qz3guF3NH7BsD9Ti1KIjtRXT+nKkw68Pr/hyjoAbNZIEmxRmq/P\nDZQUZCTHYrMa68sM6KdzxzEdXzQ8V7ANmwrDQUKps9vLfzZVMizKwsIzn3V6MWNMKimJw9i0t57W\nDveg/l762K2EUKDtnZ7ro/u6aVrvye2n2/TdCu8/myppauvm5hnZuro1n5+ZwIRRwzlS06b7LzPv\nnblgeIcOLhj2Z1hUBNOKUmhu7+aoTurWA/X1RtxIQ++FwxaHm85u7XZTqTnlxO3x6f4k9HyydHLh\nsKKuHZs1kjS7tkv6LkVRTiL5mfHsrmim9pS2/9wv5KOtVTi7PNw2M5f4GO22QO2PxWxm/tW5eH0K\npdsG91Q6/DbSZzY7euwf3Z/8jATyM+LZe6yFxtOdai9nQKoaOigtqyElcViwG4aeBGqlV39xXLcl\nNlUNHXy2q470pBhu1skFw/4Eyjs279PHpUOjb6QDp6FDdXt+IIKDWAxwEtqf4JRJDWfQ2uGmub3b\nMFMlAxfeAD4cogtvodbS3k3pthqS4qOZN02fnwmzx4/AHhfNhl31OLs8g/b7hNVG2uf3c7i6jZTE\nYSRr/CLb5bhpWjYKsG5HrdpLuWw+v5+/fnwYv6Kw5JZiXfbRHTkinkn5wzla285BHZ5K+xWFv3/a\ne8HwPh1dMOxPYU4iw+OHse3IKdw92u5m4/P7OVrXzojhMZoeeHMlApu4Wg2fhhp9I52caCUqwqzp\nWvVg27tMfba968/E/OFkpdgoO9RIY6v+Drne3XgMr8/P3dflE6XDz2WAyAgzt8zIwe3xDepTeKO8\neQAAFStJREFUe/1+Yg5AVYOTLreXMbn6ukR1MVOLUrDHRbNp30lNP0Ltz6fbaqlq7GDW+HTGjdRv\nLt/S8an0ln0NHKtzMK0oRdcZQO8lk9kT0nH3+NhRru2e0tWNTtw9PsOeRsPXo8K1uolTFIWK2jYS\nYqM03yVooMwmExnJsZxsceHza3M4jlEuGvZlMpm4fVYuigIf6+xU+kSDgy8PNJKbFsdV47Q5y+FS\nzZmUgc0ayX931A7awK6w2kgfOtM/eqyO2971J8Ji5oaSTNw9PjbtrVd7OZesqa2L1ZuOY7NGan56\n3sXkpcczZXQyx+ocHKg8rfZyLlnvBMMKoiLNfOfG0WovJySCPaU1Xt5h9LIOgIzkWExo90S6ub2b\nNmcPBVnGKCk4n8yUWLw+hVOt2mwNeayuHYvZRN4I45xIA0wrSiXNbmXzvgbdTCHuHb5SAcC91+dr\nevjKpYiOsjBvejadbu+gDbALq430wRO9j92LDVIf3decyZlERphZt6MWv1/7J6KKovC3T47Q4/Hz\nf24cTZzOLjL0J1Df/d4Xlbo5lV69sZKOTg93zNLnBcP+pNpjKMxK4HBVKy0abvkV2EgXGXgjHR1p\nIcVupa7ZpcnXREWgrMNAJ6H9yUzW7pMBj9fHiYYOctJsuiztuxCz2cSCq3Px+RU+KdNHQ4A9FS0c\nrm5jUv5wxuisBer53FiSiTXaQmlZ9aAMsAubjbTH66Oirp2sFJvubp9eCps1kpnj0mlu72Z3RbPa\ny7mos8aA6/zRUUBOWhxTC1OoPOlg3/EWtZdzUdWNHazfVUt6Ugy3zMhRezkhNWvCCBRgywFtnkr7\nFYXymjaSE4YZ5gvM+WQmx+Ls8uBw9ai9lG8IDGIZbeAvM9BnOI4GnwycaOjA51d0P4jlfGaOTycp\nPprPd9fh6NTea6Avr8/PO2eGryy+Xt9PifuKGRbJDSVZODo9bNwT+qf2YbORrqhtx+P1G66so695\nZ1rhrduu7W++ehkDPhAL+/SV1uIJXEDvBMNyQ1ww7M/04lSiIsxs2XdSkzmcbHbh6vYauqwjIFAn\nXavB09Cjde1ERZrJTrWpvZRBpeXhOEasj+4rwmLm1hk59Hj9mv9s/mJPPQ2nO7lucgYZOh9Yd655\n07OJijTz8VfVeH2hvStgrE/PCwh0UzBK/+j+ZKbYGJtn53B1G9WNHWo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j/Xd/93cQRRGPPvooPvjBD2Lr1q1GrE1X6hZHUOM+xqpSCzzW6S7IiNIOO94Z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\nf76Q/vwg7flC+vOF9OeHErXXPfXUU0/xHgQxOz7++GM8+uijaG9vh16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OSpIeffRRPfroo7r77rt1zz336JZbbtHjjz8uj8ejVatW+axQ+Fbt4ekSzB8O\nfVaLWeUFqROb2wPAZIy5PHpw+Va1dw/pglPz9ZmTcowuyeeS7NH61iXVirKZ9ft/1Kmlw2F0SQgS\nkw7EO3bs0NDQkK677jp99atf1ZYtW1RXV6e5c+dKkhYtWqR3333XZ4XCt+oau2WSVFrAcc3hoLL4\n0Asb7hIDmAyv16v/e3m7drb2aW5ppi79TPgeZFEwJUH/saRczjG3fvPMVvUPjRpdEoLApKdMxMTE\n6LrrrtPll1+upqYmff3rX5f3Q3sRxsfHa2Bg4IhfIyUlTlZr6K30zMgI7T17h0bGtGd/v6bnJaso\nPzjvEId6jwNt0dx8/Xllvepb+3TF4rJj/jz67H/02P/o8Yl7YuUOvVfbrpkFKbr1q/MU/W+7MIRb\njy/ISFDv0Jj+8kq9/vDCdv3khgWyWY1fVhVufQ4lkw7EhYWFKigomPhzcnKy6urqJv59cHBQiYlH\n3gC7JwTf3s3ISFBn55GDfrB7f3eX3B6vZuQmBeX3Eg49DjSTDu23uXVXp/a39cp2DC806bP/0WP/\no8cn7u1tbXry1XqlJ8XoG1+oUH/vR383h2uPP3vyVO1s7tGGHR361V826NrFpYauqQnXPgeTI73g\nmPTLoeXLl+vee++VJLW3t8vhcGjhwoVat26dJGnNmjWaM2fOZL88/KiO+cNhqbIoVaMuj3a29Bld\nCoAQsX1vj/708g7Fx1j13S/NUmJ8lNElBYzZZNJ1S8qUn2XXmi1tWrWx1eiSYKBJB+LLLrtMAwMD\nuvLKK/W9731P9957r2677TY98MADuuKKK+RyubR48WJf1gofqW3qVrTNomk5ob+VDj5QNe3QavBt\nbL8G4Bjs7xrUgyu2SZK+eUmVstPiDa4o8KJtFt18abUS46P05Gu7VNPI+BmpJj1lwmaz6ec///nH\nPv7YY4+dUEHwr+7+EbUdHFL1tDRZLcbPl4LvzMhNUpTNrJpGFtYBOLK+wVH96uktGna69PULyzUz\nP3IXWKcmxuhbl1TpZ3/ZpN/9vVa3XztXU1LjjC4LAUYiijC1TYdPpytkukS4sVktKs1P0f6uQR3s\nGzG6HABBanx3ha6+EV10epFOq5xidEmGm5aTpGsXl2rI6dKvn9mqwZExo0tCgBGII0xdU48kqaIw\ncu8GhLPxU+u28bYfgE/g8Xr1yD/q1NjWrwWVU/SFhYVGlxQ0FlZla/Gp+WrvHtLvnquV2+MxuiQE\nEIE4gngqZu91AAAgAElEQVS8XtU2divZHqWp6ZE3VywSsB8xgCN5ZvUebdzZqdL8ZH31AmN3VQhG\nl505TdXT0lTb2K2n/rXH6HIQQATiCNLS7pBjeEwVhakMgmEqKyVOmcmxqmvqlsvN3Q0AH1i9eZ9W\nrmvWlNQ4/eclVawj+QRms0k3fKFCU9Pj9eqGFq3Zst/okhAg/DREkLrx+cNstxbWqorTNDLq1p59\nbL8G4JCtew7q8VfqlRBn03e+NEvxMTajSwpasdFW3XxpleJjrHrsn/Xa2dJrdEkIAAJxBGFBXWSY\nmDbBbhMAJDW3D+ih52pktZh186XVykyONbqkoJeZEqebLq6SJC17dpu6eocNrgj+RiCOEKNjbu1s\n6VNepl1JEbTxeiQqzU+R1WJiP2IA6u4f0a+f2SrnqFtfv7Cc/eePQ1lBiq48p0QDQ2P6zfJtGhl1\nGV0S/IhAHCF2tvbK5faogrvDYS86yqIZeclqbneoz+E0uhwABhk+vIVYz4BTl581TXNLM40uKeSc\nNTtXZ83OUWunQ3/4R508Xq/RJcFPCMQRoq7x0HZr5UVstxYJKosObb/GtAkgMrk9Hv3uuVq1dDj0\nmZOmavG8fKNLCllfPrtEpfnJ2ryrS39/s8HocuAnBOIIUdvULavFrBm5yUaXggCoOjyPmGkTQOTx\ner36y6u7tK3hoCqLU3XVeTPYWegEWC1m3XRxlTKTY/XCO3v1Xt0Bo0uCHxCII0Df4KhaOhyakZek\nKJvF6HIQAFPT45WSEK3axm55PLzFB0SSV9a3aPXmfcrNsOsbF1XKYuZX/Ymyx9r0rcuqFRNl0f+9\ntEONbf1GlwQf46ckAoxvt8b84chhMplUVZymwRGXGg8wcAORYmN9p576124l26P0ncurFRttNbqk\nsJGTHq8bL6qQy+XRA8sPzc1G+CAQR4C6RrZbi0RVnFoHRJSG/f36wz9qFWWz6NuXzVJqYozRJYWd\n6mnpuvys6ep1jOrBFVs1OuY2uiT4CIE4zHm9XtU2dSshzqa8LLvR5SCAygpSZTaZVMM8YiDsdfYO\n6zfPbNGY26MbL6pQwZQEo0sKW+fPy9PCyilqbBvQn17eIS87T4QFAnGY239wSL2OUZUXHgpHiBxx\nMVZNz0lUQ1u/HMNjRpcDwE8GR8b0q6e3qH9oTFeeM0OzpqcbXVJYM5lMumZxqablJOq9una99N5e\no0uCDxCIw1ztxHQJtluLRJXFafJ6P7gOAIQXl9ujZSu2qe3gkM47JU9nz8k1uqSIYLOa9c2Lq5Sa\nGK0VbzRo865Oo0vCCSIQhzkW1EW2quLD+xEzbQIIO16vV39+eYd2NPdq9owMfems6UaXFFGS7NH6\n1iXVstnM+v0/6tTa4TC6JJwAAnEYc7k9qm/uVXZaHIsrIlRell2J8VHa1tjNCUtAmPnHO016u+aA\nirIT9PXPl8tsZlpcoBVMSdB/LCmXc9St3yzfqv6hUaNLwiQRiMOUx+vV399slHPMze4SEcxsMqmy\nKFX9g6PcvQDCyLu1B/T3NxuVlhijmy+bpWj2mDfM3NJMXXR6kbr6RvTbZ2vkcnuMLgmTQCAOQ85R\ntx76e41eem+vMpJjdP4peUaXBANVcmodEFZ2tvTq/17arthoq77zpVlKio8yuqSI9/mFhZo7M0M7\nW3r1+Cs72XkiBBGIw0x3/4jueWKjNtZ3amZesm6/Zq7Sk2ONLgsGqihMlUnsRwyEgwPdQ3pg+VZ5\nvdJ/XlypnPR4o0uCDr0bd92ScuVn2bVmy369trHV6JJwnAjEYaRhf79+8ucNam53aNGsbH3vipOU\nEMedg0iXEBelwuxE7d7Xp2Gny+hyAExS/9CofvXUFg2OuHTN4plMhwsy0VEW3XxptRLjo/Tka7vZ\n3SfEEIjDxNq6dv3sL5vUPzSqK84u0bWLS2W18L8Xh1QVp8rt8aquqcfoUgBMwpjLrQeXb1NH77Au\nXFCgM6qnGl0SPkFqYoy+eUmVzGbpob/X6ED3kNEl4RiRmEKcx+vVs2sa9PDztbKYTfr2ZbN03il5\nMnEIBz6kcnz7tUbmEQOhxuP16pEXtmv3vj6dWp6li88oNrokHMH0nCRdu7hUQ06XfvPMVg2NcDBS\nKCAQh7DxxXP/eKdJ6Ukxuu3qOaqelmZ0WQhCxdmJio+xqqbhIIs9gBCz4o0Grd/RoZLcJH3tc2Xc\n8AgBC6uytfjUfB3oHtLvnquV28POE8GOQByiuvtHdO8Tm7SxvlMz8pL1w2vnKifDbnRZCFJms0kV\nRak62O9U20HewgNCxRvv79NL7+1VVkqsvnVptWxWfm2HisvOnKbqaWmqaezW06v3GF0OjoKfrBDU\nsL9fP3l0g/a2D2jRrGz9F4vncAwqizi1DggltY3deuyfO2WPtek7X5ole6zN6JJwHMxmk274QoWm\npsfrlfUtenPLfqNLwhEQiEPMxOK5QRbP4fhM7EfMymcg6LV2OvTbv2+T2WzSty6tUlZKnNElYRJi\no626+dIqxcdY9eg/67WzpdfokvApSFIh4tDJcyyew+Ql26OVl2lXfXOvnGNuo8sB8Cl6HU796ukt\nGna69R8XlqkkN9noknACMlPidNPFVZKkZc9uU1ffsMEV4ZMQiEOAc8yt3/29Rs+/zeI5nJjK4lS5\n3B7VN7P9GhCMnKNu/fqZrerud+rSM4s1ryzL6JLgA2UFKbrynBINDI3pN89s08goe8IHGwJxkOvu\nH9G9j2/SBhbPwQeqD2+/to1T64Cg4/F49fDztdp7YEBnVGfrc/MLjC4JPnTW7FyddXKOWjsdeuSF\n7fKw409QIRAHsQ8vnjujmsVzOHHTcpIUE2VhYR0QhJ58bZfe392l8sIUXX3+TKbEhaEvn1Oi0vxk\nbdrZqb+/2Wh0OfgQAnGQ+sjiuc9O11cvYPEcTpzVYlZZQYrae4bV1jVodDkADnt1Q4tWbWxVTnq8\nbvpiFeN9mLJazLrp4iplJsfqhXeatG57u9El4TB+4oLMxxfPVeu8efncKYDPzJqeLkm6ddmbenVD\ni0ZZYAcYavOuTj25apeS4qP07curFRdjNbok+JE91qZvXVatmCiL/vjidjW29RtdEkQgDiqfvHgu\n3eiyEGYWVk3RktMKNOx06a+rdukHD79LMAYM0nSgXw8/XyubzaybL6tWelKs0SUhAHLS43XjRRVy\nuTx6YPlW9Qw4jS4p4hGIg0TPgFP3PsHiOfifxWzWpWdO0x/+91wtOa1AI073RDBetaFFYy6CMRAI\nB/tG9Ount2pszKMbPl+houxEo0tCAFVPS9flZ01Xr2NUD67YxnaYBrMsXbp0qVFPPjQ0atRTT1p8\nfLTP625s69d9f92s9u5hnVGdrW98sVKx0ZH7lpk/eoyPS02JU0FGvM48aarMJpN2tfTp/d1demtr\nmyxmk/Iy7bKYec18IriW/S9Uezw04tLP/7ZZnb0j+vLZJVpYnW10SZ8qVHscCqblJKqrb0TbGg5q\n1bq9Ghl1KzstXtFRFqNLC0vx8dGf+m8E4uPk64Fh3fZ2PbB8m4adLl3x2em69MxpER9CGHwDY7zP\n0TaLygtTJ4Lxzg8FY6vFrLzM+Ii/JieLa9n/QrHHLrdHD67Yqj37+3X2nFx98Yxio0s6olDscagw\nmUyqKk6Ty+1Rw/5+bWvo1qqNLeroGVZaYoyS7Z8e4HD8jhSITV6vcRvhdXYOGPXUk5aRkeCTuj1e\nr55/q1HPv92kmCiLbryogvnCh/mqxziyT+tz/9Co/rmuWf/auE/OMbeS7VFaclqhFs3Kls3KXYvj\nwbXsf6HWY6/Xqz+v3KE1W9p00vR0ffOSKpnNwb1oOtR6HKrsibF6/vVdWrWhVQe6hyRJJblJOmdu\nnmbPSOfGhA9kZCR86r8RiI+TLwYG55hbf3xxuzbs6FB6Uoy+fVk184U/hME3MI7W5/6hUf1zbbNe\n29Sq0TGPUhKi9bn5BQTj48C17H+h1GOP16sX392rZ9c0KD/Lrluvmq2YqOCfHhdKPQ5l4332eL2q\na+zWqxtate3wnvEpCdH67OwcnXlSjuyxNoMrDV0EYh860YGhZ8Cp3yzfqr0HBjQjN0n/eUkVh238\nGwbfwDjWPhOMJ49r2f+Cvcder1dNBwa0bnu71m3vUM+AU6mJ0brt6rlKSQiNt8ODvcfh4pP6fKB7\nSK9taNVbNW1yjrpls5p1WkWWzpmTp9xMbqQdLwKxD53IwNDY1q/fLN+qPseoTq/O1jXnz2Tz9U/A\n4BsYx9vn/sFRrVzXrH99KBgvOa1AZ1RPlc3KdfxJuJb9Lxh77PV6ta9zUGu3t2v99g519A5LkmKj\nrZozI0NLFhQoKyXO4CqPXTD2OBwdqc9DIy69ta1Nr21sUWfviCSpND9Z58zN00nT04N+2k2wIBD7\n0GQHhnXb2/XHF7fL5fLoS5+drvNOyeOwjU/B4BsYk+0zwfjYcS37XzD1+ED30MSd4P2HT4KMtll0\nckm65pVlqaIoNSR/RoKpx+HsWPrs8Xi1teGgVm1oUV1TjyQpPSlGn52dq0WzshUXw3SKIyEQ+9Dx\nDgwsnjt+DL6BcaJ97h8c1cq1h4Ox61AwvvC0Ap1OMJ7Atex/Rve4q29Y67d3aO32djW3OyQdOp53\n1rQ0zSvPUvW0NEXbQntqkdE9jhTH2+d9XYN6bUOL3qk5oFGXR1E2sxZWZuvsObmamh7vx0pDF4HY\nh47ngmXx3OQw+AaGr/rcN3hojjHB+OO4lv3PiB73DDi1YUeH1u1o1559h47dtZhNqihK1allWTqp\nJD2s9pLnOg6MyfbZMTymN7fu1782tupg/6ET7yqKUnXOnFxVTUuTmXejJxCIfehYL1gWz00eg29g\n+LrPfYOjWrl2r1Zv2qdRl0epidFaclqhTq/KjthgzLXsf4Hq8cDQqDbWd2rd9nbVN/fKK8lkksoK\nUjSvLEuzZ2SE7ep/ruPAONE+uz0evb+rS6s2tKq+pVeSlJkSq7Pn5Or0quywepE2WQRiHzqWC5bF\ncyeGwTcw/NXnTwrGF55WqNOrsyPu54Br2f/82eOhkTFt2tmlddvbVdfUI8/hX5cluUmaV5aluaWZ\nSooP/xsdXMeB4cs+N7cPaNXGVr1X2y6X26OYKItOr8rW2XNzQ2pBp68RiH3oaBcsi+dOHINvYPi7\nz30Op15e26zXNx8Kxmnjd4wjKBhzLfufr3vsHHXr/d2HQvC2hoNyuQ/9iizKTtC8siydUpqp1MQY\nnz1fKOA6Dgx/9HlgaFRvvL9fqzfvU8+AUyZJVdPSdO7cPJUXpkRcPiEQ+9CnXbBer1fPfWjx3A1f\nqNCs6SyemwwG38AIVJ/Hg/Hqzfs0Nh6MFxyaShHuwZhr2f980eMxl1tb93Rr3fZ2bdndpVGXR5KU\nmxGveWVZmleWqcwIv6vGdex//uyzy+3Rpp2dWrWhVbv39UmSstPidM7cPC2omKLoqNBe+HmsCMQ+\n9EkXrHPMrf/34natZ/GcTzD4Bkag+xyJwZhr2f8m22OX26O6pm6trevQ5l2dGhl1S5KyUuN0almm\nTinLUg4r9SVxHQdKoPrc2NavVRtatW57u9wer+KirVo0a6o+OztH6cmxfn9+IxGIfejfL9ieAace\nWL5VTYcXz910SZUSWTx3Qhh8A8OoPn88GMfowgUFWhiGwZhr2f+Op8cej1f1zT1au71DG+s7NDji\nkiSlJcZoXnmm5pVmKT/LHnFvIx8N13FgGHGT4vXD0yn6B0dlMkknTU/XuXPzNDM/OSx/DgjEPvTh\nC/Yji+eqsnXNYhbP+QKDb2AY3edeh1Mvv9es198P32BsdI8jwdF67PF6tWdfn9bVdWh9fYf6B0cl\nSUn2KJ1SmqlTy7JUPDUxLH/5+wrXcWAY1ecxl0cbdnTo1Q0tajpw6PlzM+w6Z26u5pdnKSrE99H+\nsIAFYq/Xq6VLl6q+vl5RUVH66U9/qry8vE99fCj+gI1fsB9ePHf5WdN1/jwWz/kKg29gBEufex1O\nvfTeXr2+eb9cbo/Sk2J04YJCLaicEvLBOFh6HM4+qcder1dNBw6N0+t3dKj78N6s9lib5pZm6tSy\nTJXkJnPc7THiOg4Mo/vs9Xq1Z3+/Vm1o0cb6Trk9XtljbTrzpKk66+ScsFhMGrBA/Oqrr+pf//qX\n7rnnHm3ZskUPP/ywfvvb337q40PxByw93a5Hnt3K4jk/MnpQiBTB1ueeAadeXhtewTjYehyOPtzj\n1k7HoaOT6zrU0TssSYqNtmr2jHSdWpal0oKUkL2WjMR1HBjB1OeeAadWb27V65v3yzE8JrPJpNkz\nM3Tu3FxNz0kK2RuAAQvE9957r6qrq/W5z31OkrRo0SKtWbPmUx8fLP/jj5VzzK0nVu3SW1v2s3jO\nj4JpUAhnwdrnngGnXn5vr15/P/SDcbD2OJyMyqSVbzdo3fYO7e8alCRF2cw6uSRD88oyVVmUFrEH\nw/gK13FgBGOfR8fcWru9Xas2tKql49DR5AVTEnTOnFzNK8sKuZ+tIwVinx5b4nA4lJDwwZNZrVZ5\nPB6ZzZ/csG/9ao1cHsOmMB83t9srl9vD4jnAj1ISonXluTN0wfyCiWD8p5d36PFXdspiCa27EmaT\nFEJDXOjxHrpRIUlWi1lzZmTolLJMzZqWHjHbSAH+FGWz6IzqqTq9Kls7W3q1akOrNu3q1B9f3K4/\nr9whS4jdpHjmngs/9d98GojtdrsGBwcn/n6kMCxJORl2uY1b0zcplcXpunZJmWxWBlt/OtKrOPhO\nMPc5IyNBM4rT9ZUl5Vq+erfqGg8aXRKCUFpirBbOmqr5lVMUFxOeRycHg2AeK8JJMPc5MzNRp8/J\nV0f3kF58u1Fb93TJwH0ZfM6nUyZeeeUVrV69Wvfcc4/ef/99/fa3v9Xvf//7T318sL01cCyC8S2N\ncEOPA4M++x899j967H/0ODDos/8FbMrEueeeq7fffltXXHGFJOmee+7x5ZcHAAAAfM6ngdhkMulH\nP/qRL78kAAAA4FehNRsaAAAA8DECMQAAACIagRgAAAARjUAMAACAiEYgBgAAQEQjEAMAACCiEYgB\nAAAQ0QjEAAAAiGgEYgAAAEQ0AjEAAAAiGoEYAAAAEY1ADAAAgIhGIAYAAEBEIxADAAAgohGIAQAA\nENEIxAAAAIhoBGIAAABENAIxAAAAIhqBGAAAABGNQAwAAICIRiAGAABARCMQAwAAIKIRiAEAABDR\nCMQAAACIaARiAAAARDQCMQAAACIagRgAAAARjUAMAACAiEYgBgAAQEQjEAMAACCiEYgBAAAQ0QjE\nAAAAiGgEYgAAAEQ0AjEAAAAiGoEYAAAAEY1ADAAAgIhGIAYAAEBEIxADAAAgohGIAQAAENEIxAAA\nAIhoBGIAAABENAIxAAAAIhqBGAAAABGNQAwAAICIRiAGAABARCMQAwAAIKIRiAEAABDRCMQAAACI\naARiAAAARDQCMQAAACIagRgAAAARjUAMAACAiEYgBgAAQESzTvYTFy1apMLCQknSySefrO9+97t6\n//33dffdd8tqtWrBggX65je/6as6AQAAAL+YVCBubm5WRUWFHnrooY98fOnSpXrwwQeVm5ur66+/\nXjt27FBpaalPCgUAAAD8YVJTJmpqatTe3q5rrrlGN9xwg5qamuRwODQ2Nqbc3FxJ0umnn6533nnH\np8UCAAAAvnbUO8TPPPOM/vznP3/kY3feeaduuOEGnX/++dq4caP+67/+S8uWLZPdbp94THx8vFpb\nW4/4tTMyEiZZtrFCte5QQo8Dgz77Hz32P3rsf/Q4MOizcY4aiC+77DJddtllH/nYyMiILBaLJGnO\nnDnq7OxUfHy8HA7HxGMGBweVmJjo43IBAAAA35rUlIkHH3xw4q7xjh07lJ2dLbvdrqioKLW0tMjr\n9eqtt97SnDlzfFosAAAA4Gsmr9frPd5P6u/v1/e//30NDQ3JarXqjjvuUFFRkbZs2aK7775bHo9H\nCxcu1He+8x1/1AwAAAD4zKQCMQAAABAuOJgDAAAAEY1ADAAAgIhGIAYAAEBEIxADAAAgohGI/01f\nX5/RJQAIEYwX/kePARyrExkvLEuXLl3qu1JCl9vt1q9//Ws98cQTamlpUXx8vDIzM40uK+yMjY1p\nxYoVGhoaUmZm5sQBL/At+uxfjBf+R48Dg7EiMOizf/livCAQH7Z69Wpt2LBBP/7xj9XQ0KB3331X\nqampysrKktfrlclkMrrEkNfQ0KDrr79eNptNW7duVVNTkwoKChQXF0ePfYg++x/jhf/RY/9jrAgM\n+ux/vhgvIjoQ79mzR3a7XRaLRStXrtSMGTN0yimnKDc3Vz09PVq7dq0WLVrExeoj9fX1stvtuuWW\nW1RQUKCdO3eqpqZG8+bNo8c+RJ/9g/HC/+hxYDFWBAZ99g9fjxcRGYgdDofuu+8+PfbYY2psbFR3\nd7eqq6v1i1/8QldddZXi4+MVFRWluro6ZWRkKCMjw+iSQ1JnZ6d++ctfanBwULGxsWpra9PKlSt1\n0UUXKTExUTExMXrvvfeUl5en9PR0o8sNWfTZvxgv/I8eBwZjRWDQZ//y13gRkYvqNm3apO7ubi1f\nvlzXXHONfvnLX6qwsFBFRUX6wx/+IEkqKCjQ0NCQ7Ha7wdWGpj179ui///u/lZmZqaGhId188806\n++yz1dXVpddee002m03Z2dlKTU1Vd3e30eWGLPrsf4wX/keP/Y+xIjDos//5a7yw+qvgYOP1euX1\nemU2m2U2m5Wenq7+/n7l5eXpkksu0T333KOlS5fqyiuv1Jw5c9Td3a19+/bJ5XIZXXpI8Xg8MpvN\n8ng8Sk1N1Q033CBJWrNmjf7whz/ohz/8oe68806dffbZmjJlig4cOKCYmBiDqw499Nm/GC/8jx4H\nBmNFYNBn/wrEeBH2d4gPHjwoSTKZTDKbzXI4HLLZbPJ6vWptbZUkfec739HmzZvV39+v22+/XW+9\n9ZaefPJJfe9731NRUZGR5Yccs/nQJeVwOJSRkaGdO3dKku688049/vjjKi0t1bx583TXXXfpa1/7\nmtxut7Kzs40sOSTRZ/9gvPA/ehxYjBWBQZ/9I5DjRdjOIR6fY7JixQodPHhw4rb5L37xC1188cVa\nu3atnE6nMjIyZLfb1d/fr4SEBJ1xxhk69dRT9YUvfEFZWVkGfxfBr7+/X8uXL5fValVSUpIsFoue\nfvpplZaW6r333lNcXJwyMzOVkpKijo4ONTc365vf/KaKioqUm5urm266ibdAjwF99i/GC/+jx4HB\nWBEY9Nm/jBgvwjYQL1++XF1dXbr11ltVW1urN998U6eeeqqWLFmiqKgoJScna9OmTVq/fr327t2r\n559/Xl/60peUnJxsdOkhY+PGjbr55puVmJio9evXa//+/TrppJPU3Nys2bNny+l0avPmzRobG1NJ\nSYnWrFmjuXPnqqCgQMnJySouLjb6WwgJ9Nn/GC/8jx77H2NFYNBn/zNivAirQLxr1y4lJyfLbDZr\nxYoVOuecc1RaWqrs7Gy1trZq8+bNmj9/viQpKytLM2bMUHd3t9ra2vSDH/xABQUFBn8HoWXz5s0q\nLy/XDTfcoIyMDG3evFktLS26+OKLJUnTp0+X0+nU6tWr9cQTT8jlcunSSy9VbGyswZWHFvrsH4wX\n/kePA4uxIjDos38YPV6ERSDu6OjQ0qVL9Y9//EN1dXWy2WxKS0vTn/70J11yySWKj4+X1WpVbW2t\nioqKZLFY9Ne//lULFixQdXW1Fi5cqKSkJKO/jaC3Z88e/epXv5Lb7VZycrK2bNmirVu36pxzzlFS\nUpKsVqveeustVVVVyW63q7e3V+Xl5Zo7d67mzJmjq666igHhGNBn/2K88D96HBiMFYFBn/0rWMaL\nsFhU9+abb8put+uJJ57QBRdcoDvuuEPnnXeehoeHtXLlSpnNZuXk5GhoaEjJycmy2+3Kzc01uuyQ\nsmnTJi1dulQzZ87U3r179f3vf19XXXWV1q5dq/r6esXExCg3N1d2u10HDx6Uw+HQz372M3V0dCg5\nOVklJSVGfwshgT77H+OF/9Fj/2OsCAz67H/BMl6EdCAe305jfD6J0+nUKaecotmzZ+t3v/udli5d\nqmXLlmnHjh1666231NnZKafTKUk6++yzjSw9ZHg8HkmS0+lUUVGRrrrqKl133XUaHBzUq6++qm9/\n+9u66667JEmFhYVqa2tTXFyc7Ha7fvzjHx/3WeKRavxaps/+4fF4Jq5lxgv/YUz2P8bkwGBM9q9g\nHJNDLhBv2bJF69evlyRZrVYNDg4qKipKLpdrYguOO+64QytWrFBeXp5uvPFGPffcc/rXv/6l//mf\n/+FUmOM0vpXM6OiokpOTtXfvXknSbbfdpl/84hf64he/qNTUVN177726+uqrlZKSopSUFHm9Xtls\nNiNLDwlNTU2SDl3LEn32tfb2dkma2LvS4XAwXvgYY3JgMSb7F2OyfwXzmBwyc4hbW1t177336q23\n3tKiRYuUnp6uTZs2acWKFfrc5z6nN954QzabTVOmTFFiYqL27dunvLw8LViwQKeddpouvPBCpaSk\nGP1tBD2Hw6G3335b6enpio6OVm9vr1auXKmSkpKJj2dmZio3N1dbtmyRyWTS17/+dU2ZMkUVFRW6\n9tprFRMTw/nsR9HW1qaf//znWr58uc477zwNDQ3RZx86cOCA7r77bj3//PMaHBxUZmamWlpa9Le/\n/U1LlixhvPABxuTAYEwODMZk/wqFMTlkTqpbtmyZoqOj9dBDD6mmpkaDg4OaPXu2Zs+eLUk6//zz\ntWbNGtXX18tut2vz5s268cYbJUkWi8XI0kPKmjVr9MwzzyguLk6nnnqqkpKSZLPZNG3aNFVXV2vd\nunWSpDPPPFPR0dEqKipSdHS0SktLDa48NHg8Hv3ud7/Txo0bZbfblZCQILvdPnFXgT77xtNPP60p\nU0FNG7MAAAWHSURBVKboxhtv1H333acZM2Zo7ty5Kisrk8R44QuMyYHBmOxfjMmBEQpjclDfIV6x\nYoVeeuklud1upaWlyeFw6Pe//722bdum9evXa/fu3ZozZ44kKT8/XyUlJdq7d69GR0d12223KTU1\n1eDvIDTU19crPT1dAwMDeuCBBzQyMqKYmBhlZWUpKSlJM2bMkCSVlJRoYGBAL730kv7yl78oOTlZ\nn//85yfeWsKRNTY2yu12a926dbr99tt1+umn68CBA5o9e7YsFgt9PkHLly/Xo48+qtraWjU0NOim\nm27S1KlT9fjjjys9PV2pqalKTEyUxHgxWYzJgcGYHBiMyf4VamOyyev1egP6jMfA6/Vq2bJl2rlz\npz7/+c9r5cqVamtrU0VFhc444wwtWrRINTU1uv/++3X77bfLbrfrlVde0VVXXWV06SGnqalJN910\nk/74xz8qOztb77zzjqKiovTGG2+orKxMn/vc5yYe293drdTUVLW3t8vpdCo/P9/AykPLeJ//9Kc/\nTSy2+Oc//6mnnnpKf/zjHz/yWPp8/H7+85+rpaVF119/vR544AGlpaXppz/9qd58803df//9Ovvs\ns7Vp0yb94Ac/UFpamlauXMl4cRwYkwOHMTkwGJP9KxTH5KBcVGcymTQ4OKiLLrpI5557rv5/e/cP\nks4fx3H8pXYHXWIiSF2G1UWSFRURBEF/prSgVreGVmlobGkR2qI1iIIIgkCFiJaGoCgOGlqilv5g\nWRFJt3iBFOlviK98afpleXlfX4/R6XgjT95+OO+mp6dxe3uLtrY2DA4OAgCam5uhKAocDgdEUeT7\n7QuQzWYRjUaRyWTyAeju7kZvby9kWcbFxQUuLy8BfNwvuLi4CF3XUVNTwyB8wd9zXlpayn/e19cH\np9OJZDKZ/+zh4YFzLkA6nUYoFEJ7eztCoVD+ZGFgYADxeBzhcBh+vx8VFRUQBIG9+CI22RhssjHY\n5OIzY5NLciHOZrOw2+3QdR26rqOxsRHBYBCHh4c4ODjA/f09Njc3cXd3B1EUUV1djf7+/t++bNPJ\n5XKQJAlra2u4vr6GqqqQJAnAx31Sb29vODo6QiaTQX19PSKRCN+9XoC/55xIJKCqKgDg+fkZbrc7\n/yeMXC6Huro6zvmLstksRkZG0NnZCeDjmZayLAMAdnZ2kE6nsbKygtPTUzidTjgcDvbii9hkY7DJ\nxmCTi8usTS7Je4gtFgtsNhuOj4/h9XrhcrnQ09ODeDyOq6srnJycQNM0zM7O8p60b7BarVAUBbW1\ntXh9fUUsFsP4+DgAwOFwIJVKobKyEi0tLbBarfz3bIE+zzkajWJiYgIulwurq6sQBAEdHR2cb4Es\nFgu8Xi9EUYSu61heXkY4HIbdbsfGxgZUVcXT0xPm5ubgdrt/+3JNiU02BptsDDa5uMza5JJciAFA\nlmWoqorHx0c0NTUhkUhA0zTMz89jaGgIgUAAVVVVv32Zpvfn9EFRFOzv70PTtPyvOp/Ph9bWVths\nNobhmz7POZVKoaurCw0NDZBlmQ9x/yHJZBIvLy9QFAWRSAQejwczMzMIBAI84fkmNtkYbLIx2GRj\nmKnJJbsQWywW+P1+nJ+fY319HXt7exgeHs7HgH6WIAiQJAlbW1sYGxvj6UOR/Jnz9vY2RkdH4fF4\nGN4ftLu7i4WFBdzc3CAYDGJycpK9+CFssrHYZGOwycVlpiaX5FMmPjs7O4PP5+PbXwzw/v5esl/W\nfwnnXByxWAypVApTU1MQRfG3L+efxSYbh60wBudcHGZqsikWYiKi/yOXy/EUjYioRJipyVyIiYiI\niKisleRj14iIiIiIjMKFmIiIiIjKGhdiIiIiIiprXIiJiIiIqKxxISYiIiKissaFmIiIiIjK2n8K\nufTreRSvxAAAAABJRU5ErkJggg==\n", 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wxYI4QvUOOtFnd2F9gQWGqMh9mSuLk3GsdQg1TTYWxEREODuqee7oQbiRJAlZqSZkpZrw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\n+NzGDPQPT+Lnz9Zjyu0THSmsRcS7x7v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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -979,14 +979,14 @@ { "data": { "text/plain": [ - "count 56.000000\n", - "mean 35.964865\n", - "std 55.291232\n", + "count 57.000000\n", + "mean 41.669520\n", + "std 60.813727\n", "min -0.020000\n", "25% -0.020000\n", - "50% 6.307337\n", - "75% 47.105919\n", - "max 169.207506\n", + "50% -0.020000\n", + "75% 67.355114\n", + "max 203.601845\n", "dtype: float64" ] }, @@ -1031,7 +1031,7 @@ { "data": { "text/plain": [ - "6042.0973391930229" + "7125.4878479372464" ] }, "execution_count": 28, From 56e15dfbb5ec338a9944bbf0f8ef8609e46a9acd Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Sun, 3 Apr 2016 19:24:19 -0700 Subject: [PATCH 83/88] more doc edits --- docs/sphinx/source/forecasts.rst | 33 ++++++++++++++++++++------------ 1 file changed, 21 insertions(+), 12 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index 425620498d..f60abb9a23 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -97,9 +97,12 @@ from Unidata. print(raw_data.head()) -The column names are long, temperature is in Kelvin, the wind speed is -broken into east/west and north/south components, and most importantly, the -irradiance data is missing. We can use a number of methods to fix this. +It will be useful to process this data before using it with pvlib. For +example, the column names are non-standard, the temperature is in +Kelvin, the wind speed is broken into east/west and north/south +components, and most importantly, most of the irradiance data is +missing. The forecast module provides a number of methods to fix these +problems. .. ipython:: python @@ -111,9 +114,10 @@ irradiance data is missing. We can use a number of methods to fix this. # convert temperature data['temperature'] = model.kelvin_to_celsius(data['temperature']) - # convert wind + # convert wind components to wind speed data['wind_speed'] = model.uv_to_speed(data) + # calculate irradiance estimates from cloud cover. # uses Location.get_solarposition and irradiance.liujordan # this step is discussed in more detail in the next section irrad_data = model.cloud_cover_to_irradiance(data['total_clouds']) @@ -140,6 +144,9 @@ are **strongly** encouraged to read the source code of these methods. print(data.head()) +Users can easily implement their own ``process_data`` methods on +inherited classes or implement similar stand-alone functions. + The forecast model classes also implement a :py:func:`~pvlib.forecast.ForecastModel.get_processed_data` method that combines the :py:func:`~pvlib.forecast.ForecastModel.get_data` and @@ -151,7 +158,13 @@ combines the :py:func:`~pvlib.forecast.ForecastModel.get_data` and print(data.head()) -Finally, we plot the GFS cloud cover data. + +Cloud cover and radiation +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +All of the weather models currently accessible by pvlib include one or +more cloud cover forecasts. For example, below we plot the GFS cloud +cover forecasts. .. ipython:: python @@ -166,13 +179,9 @@ Finally, we plot the GFS cloud cover data. @savefig gfs_cloud_cover.png width=6in plt.legend(); - -Cloud cover and radiation -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -Many of forecast models do not include radiation components in their -output fields, or if they do the radiation fields suffer from poor solar -position calculations or radiative transfer algorithms. It is often more +However, many of forecast models do not include radiation components in +their output fields, or if they do then the radiation fields suffer from +poor solar position or radiative transfer algorithms. It is often more accurate to create empirically derived radiation forecasts from the weather models' cloud cover forecasts. From 1116844bc40259a67fdca293760eacb1d3e45429 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Tue, 19 Apr 2016 10:13:16 -0700 Subject: [PATCH 84/88] add comments --- pvlib/forecast.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/pvlib/forecast.py b/pvlib/forecast.py index c524574f4f..e888232e04 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -402,7 +402,11 @@ def isobaric_to_ambient_temperature(self, data): P = data['pressure'] / 100.0 Tiso = data['temperature_iso'] Td = data['temperature_dew_iso'] - 273.15 + + # saturation water vapor pressure e = 6.11 * 10**((7.5 * Td) / (Td + 273.3)) + + # saturation water vapor mixing ratio w = 0.622 * (e / (P - e)) T = Tiso - ((2.501 * 10.**6) / 1005.7) * w From 50daf8cb685ded740bdf5ce92365da45c5c6dc93 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Fri, 20 May 2016 16:36:13 -0700 Subject: [PATCH 85/88] add newline --- docs/environment.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/environment.yml b/docs/environment.yml index 3ce157e8f7..d3425b4dde 100644 --- a/docs/environment.yml +++ b/docs/environment.yml @@ -15,4 +15,4 @@ dependencies: - numpydoc - matplotlib - seaborn - - siphon \ No newline at end of file + - siphon From 0ef526b4942cba88789802fedfd9ad094b5adc5e Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Fri, 20 May 2016 16:37:32 -0700 Subject: [PATCH 86/88] remove http from channel --- docs/environment.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/environment.yml b/docs/environment.yml index d3425b4dde..2e1e7ee9a8 100644 --- a/docs/environment.yml +++ b/docs/environment.yml @@ -1,7 +1,7 @@ name: pvlib channels: - defaults - - http://conda.anaconda.org/conda-forge + - conda-forge dependencies: - python=2.7 - numpy From 28af554603d924e6c2c994f716511fdc4a09922a Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Fri, 20 May 2016 16:41:50 -0700 Subject: [PATCH 87/88] use a big tracker for forecast example --- docs/sphinx/source/forecasts.rst | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index f60abb9a23..114bd00499 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -359,13 +359,15 @@ for details. from pvlib.pvsystem import PVSystem, retrieve_sam from pvlib.modelchain import ModelChain - sandia_modules = retrieve_sam(name='SandiaMod') - sapm_inverters = retrieve_sam('sandiainverter') + sandia_modules = retrieve_sam('sandiamod') + cec_inverters = retrieve_sam('cecinverter') module = sandia_modules['Canadian_Solar_CS5P_220M___2009_'] - inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_'] + inverter = cec_inverters['SMA_America__SC630CP_US_315V__CEC_2012_'] - system = PVSystem(module_parameters=module, - inverter_parameters=inverter) + system = SingleAxisTracker(module_parameters=module, + inverter_parameters=inverter, + series_modules=15, + parallel_modules=300) # fx is a common abbreviation for forecast fx_model = GFS() @@ -377,7 +379,7 @@ for details. # extract relevant data for model chain irradiance = fx_data[['ghi', 'dni', 'dhi']] weather = fx_data[['wind_speed', 'temperature']].rename( - columns={'temperature':'temp_air'}) + columns={'temperature': 'temp_air'}) mc.run_model(fx_data.index, irradiance=irradiance, weather=weather); Now we plot a couple of modeling intermediates and the forecast power. From 4ef0a6cff474b6d4562443605bfc9fcbb416204a Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Fri, 20 May 2016 16:56:23 -0700 Subject: [PATCH 88/88] fix import problem --- docs/sphinx/source/forecasts.rst | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index 114bd00499..64effef77d 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -357,6 +357,7 @@ for details. .. ipython:: python from pvlib.pvsystem import PVSystem, retrieve_sam + from pvlib.tracking import SingleAxisTracker from pvlib.modelchain import ModelChain sandia_modules = retrieve_sam('sandiamod') @@ -364,6 +365,7 @@ for details. module = sandia_modules['Canadian_Solar_CS5P_220M___2009_'] inverter = cec_inverters['SMA_America__SC630CP_US_315V__CEC_2012_'] + # model a big tracker for more fun system = SingleAxisTracker(module_parameters=module, inverter_parameters=inverter, series_modules=15,

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======================================== -pvlib-python provides a set of documented functions for simulating -the performance of photovoltaic energy systems. -The toolbox was originally developed in MATLAB at -Sandia National Laboratories and it implements many of the -models and methods developed at the Labs. -More information on Sandia Labs PV performance modeling programs +pvlib-python provides a set of documented functions for simulating +the performance of photovoltaic energy systems. +The toolbox was originally developed in MATLAB at +Sandia National Laboratories and it implements many of the +models and methods developed at the Labs. +More information on Sandia Labs PV performance modeling programs can be found at https://pvpmc.sandia.gov/. -The source code for pvlib-python is hosted on +The source code for pvlib-python is hosted on `github `_. The github page also contains a valuable @@ -20,7 +20,7 @@ Please see the links above for details on the status of the pvlib-python project. We are at an early stage in the development of this project, so expect to see significant API changes in the next few releases. -This documentation focuses on providing a reference for all of +This documentation focuses on providing a reference for all of the modules and functions available in pvlib-python. For examples of how to use pvlib-python, please see the `tutorials `_. @@ -32,12 +32,12 @@ help updating them! This documentation assumes general familiarity with Python, NumPy, and Pandas. Google searches will yield many - excellent tutorials for these packages. - -Please see our + excellent tutorials for these packages. + +Please see our `PVSC 2014 paper `_ and -`PVSC 2015 paper `_ +`PVSC 2015 paper `_ (and the `notebook to reproduce the figures `_) for more information. The GitHub wiki also has a page on `Projects and publications that use pvlib python `_ for inspiration and listing of your application. @@ -47,7 +47,7 @@ There is a :ref:`variable naming convention ` to ensure c Installation ============ -1. Follow Pandas' +1. Follow Pandas' `instructions `_ for installing the scientific python stack, including ``pip``. #. ``pip install pvlib-python`` @@ -58,11 +58,11 @@ Contents .. toctree:: :maxdepth: 2 - + self whatsnew comparison_pvlib_matlab - forecast_module + forecasts variables_style_rules pvlib From 7c4a25012bafae33f3afe9e8a6d503c61991cff6 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Tue, 16 Feb 2016 16:51:56 -0700 Subject: [PATCH 62/88] fx documentation should work with ipython example --- docs/environment.yml | 6 +- docs/sphinx/source/_static/.gitignore | 0 docs/sphinx/source/forecasts.rst | 168 ++++++++++++++++++-------- 3 files changed, 123 insertions(+), 51 deletions(-) create mode 100644 docs/sphinx/source/_static/.gitignore diff --git a/docs/environment.yml b/docs/environment.yml index 2adbb4ef83..b3f8257f77 100644 --- a/docs/environment.yml +++ b/docs/environment.yml @@ -1,16 +1,16 @@ name: pvlib channels: - defaults - - http://conda.anaconda.org/Unidata + - http://conda.anaconda.org/unidata dependencies: - - python=2.7 + - python=2.7 - numpy - scipy - pandas - pytz - ephem - numba - - ipython + - ipython=4.0.1 - sphinx - numpydoc - matplotlib diff --git a/docs/sphinx/source/_static/.gitignore b/docs/sphinx/source/_static/.gitignore new file mode 100644 index 0000000000..e69de29bb2 diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index b0e8069e5e..3ff396adb8 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -1,52 +1,125 @@ .. _forecasts: -***************************** -Forecasting with pvlib-python -***************************** - -pvlib-python provides a forecast module that makes it easy to obtain -data from the Unidata THREDDS server and turn that data into PV power -forecasts. pvlib-python uses the Unidata's Siphon library to simplify -access to the forecast data. - - -PV System Power Calculation with pvlib-python -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -Here is the process that is used to produce a power output -estimate using the pvlib library. - -.. image:: images/pvlib.png - - -Forecast Data from Unidata +************************************** +Forecasting PV Power with pvlib-python +************************************** + +pvlib-python provides a set of functions that make it easy to obtain +weather forecast data and convert that data into a PV power forecast. +Users can retrieve standardized weather forecast data relevant to PV +power modeling from NOAA/NCEP/NWS models including the GFS, NAM, RAP, +HRRR, and the NDFD. A PV power forecast can then be obtained using the +weather data as inputs to the comprehensive modeling capabilities of +PVLIB-Python. Standardized, open source, reference implementations of +forecast methods using publicly available data may help advance the +state-of-the-art of solar power forecasting. + +pvlib-python uses Unidata's +`Siphon `_ library to simplify +access to forecast data hosted on the Unidata +`THREDDS catalog `_. + +This document demonstrates how to use pvlib-python to create +a PV power forecast using these tools. + + +Accessing Forecast Data ~~~~~~~~~~~~~~~~~~~~~~~~~~ -Listed in the chart below are the forecast models and their -intervals for which data is available on the -Unidata THREDDS server as of December, 2015. - -.. image:: images/unidata.jpg -.. image:: images/thredds_icon.jpg -.. image:: images/thredds_data.jpg - - -The Unidata THREDDS Data Server contains forecast -model data from NCAR, NCEP, and FNMOC. - -More information can be found at - -* http://thredds.ucar.edu -* http://thredds.ucar.edu/thredds/catalog.html - - -Siphon -~~~~~~ - -Siphon is an open source Python library for retrieving data -from Unidata's THREDDS server. pvlib-python makes use of Siphon's -and THREDDS NetCDF Subset Service (NCSS). +The Siphon library provides access to, among others, forecasts from the +Global Forecast System (GFS), North American Model (NAM), High +Resolution Rapid Refresh (HRRR), Rapid Refresh (RAP), and National +Digital Forecast Database (NDFD) on a Unidata THREDDS server. +Unfortunately, many of these models use different names to describe the +same quantity (or a very similar one), and not all variables are present +in all models. For example, on the THREDDS server, the GFS has a field +named +*Total\_cloud\_cover\_entire\_atmosphere\_Mixed\_intervals\_Average*, +while the RAP has a field named +*Total\_cloud\_cover\_entire\_atmosphere\_single\_layer*, and a similar +field in the HRRR is named *Total\_cloud\_cover\_entire\_atmosphere*. + +PVLIB-Python aims to simplify the access of the model fields relevant +for solar power forecasts. All models accessed via PVLIB-Python are +returned with uniform field names: *temperature, wind\_speed, +total\_clouds, low\_clouds, mid\_clouds, high\_clouds, dni, dhi, ghi*. To +accomplish this, we use an object-oriented framework in which each +weather model is represented by a class that inherits from a parent +:py:ref:`~pvlib.forecast.ForecastModel` class. +The parent :py:ref:`~pvlib.forecast.ForecastModel` class +contains the common code for accessing and parsing the data using +Siphon, while the child model-specific classes contain the code +necessary to map and process that specific model's data to the +standardized fields. + +.. ipython:: python + + import pandas as pd + import matplotlib.pyplot as plt + + # seaborn makes the plots look nicer + import seaborn as sns + sns.set_color_codes() + + # import forecast models + from pvlib.forecast import GFS, NAM, NDFD, HRRR + + # specify location + latitude = 32.2 + longitude = -110.9 + tz = 'US/Arizona' + + # specify time range + start = pd.Timestamp.now() + end = start + pd.Timedelta(days=7) + timerange = pd.date_range(start, end, tz=tz) + + # GFS model, defaults to 0.5 degree resolution + # 0.25 deg available + model = GFS() + + # retrieve data. returns pandas.DataFrame object + data = model.get_query_data(latitude, longitude, + timerange) + + # plot cloud cover percentages + cloud_vars = ['total_clouds', 'low_clouds', + 'mid_clouds', 'high_clouds'] + data[cloud_vars].plot(); + plt.ylabel('Cloud cover %'); + plt.xlabel('Forecast Time ({})'.format(tz)); + plt.title('GFS 0.5 deg forecast for lat={}, lon={}' + .format(latitude, longitude)); + @savefig cloud_cover.png width=6in + plt.legend() + + +Cloud cover and radiation +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Many of forecast models do not include radiation components in their output +fields, or if they do they suffer from poor solar +position calculations or radiative transfer algorithms. +It is often more accurate to create empirically derived +radiation forecasts from the weather models' cloud cover +forecasts. pvlib-python currently uses the Liu Jordan model +to convert cloud cover to radiation, however, we encourage +developers to explore alternatives. + +PVLIB-Python currently uses the Liu-Jordan [Liu60] model to convert +cloud cover forecasts to irradiance forecasts, though it is fairly +simple to implement new models and provide additional options. Figure +**fix me** shows the result of the cloud cover to irradiance +conversion. Note that the GFS data is hourly resolution, thus the +default irradiance forecasts are also hourly resolution. However, it is +straightforward to interpolate the cloud cover forecasts onto a higher +resolution time domain, and then recalculate the irradiance. We +reiterate that the open source, permissively licensed, and accessible +code enables users to customize the model processing to their liking. + +.. [Liu60] B. Y. Liu and R. C. Jordan, The interrelationship and + characteristic distribution of direct, diffuse, and total solar + radiation, *Solar Energy* **4**, 1 (1960). pvlib-python Forecast Module Overview ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -60,7 +133,8 @@ Forecasts in pvlib-python aim to be: * Standardized -There were several challenges that were addressed when putting together the forecast module. +pvlib-python's forecasting tools address a number of common issues with +weather model data: * Data format dissimilarities between forecast models * Forecast period @@ -90,9 +164,7 @@ There were several challenges that were addressed when putting together the fore DNI &= {\tau} ^m DNI_{ET} \\ DHI &= 0.3(1 - {\tau} ^m)cos{\psi}DNI_{ET} -Liu, B. Y., R. C. Jordan, (1960). "The interrelationship and -characteristic distribution of direct, diffuse, and total solar -radiation". Solar Energy 4:1-19 + Forecast Module Structure ~~~~~~~~~~~~~~~~~~~~~~~~~ From ff8b3392f8a683b27146130362974e4777a077f5 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Tue, 16 Feb 2016 18:26:20 -0700 Subject: [PATCH 63/88] remove fx model timerange in favor of start, end --- docs/sphinx/source/forecasts.rst | 36 +++++----- pvlib/forecast.py | 110 +++++++++++++++---------------- pvlib/test/test_forecast.py | 24 +++---- 3 files changed, 83 insertions(+), 87 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index 3ff396adb8..fc08519abf 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -1,10 +1,10 @@ .. _forecasts: -************************************** -Forecasting PV Power with pvlib-python -************************************** +*********** +Forecasting +*********** -pvlib-python provides a set of functions that make it easy to obtain +pvlib-python provides a set of functions and classes that make it easy to obtain weather forecast data and convert that data into a PV power forecast. Users can retrieve standardized weather forecast data relevant to PV power modeling from NOAA/NCEP/NWS models including the GFS, NAM, RAP, @@ -34,15 +34,15 @@ Unfortunately, many of these models use different names to describe the same quantity (or a very similar one), and not all variables are present in all models. For example, on the THREDDS server, the GFS has a field named -*Total\_cloud\_cover\_entire\_atmosphere\_Mixed\_intervals\_Average*, +``Total\_cloud\_cover\_entire\_atmosphere\_Mixed\_intervals\_Average``, while the RAP has a field named -*Total\_cloud\_cover\_entire\_atmosphere\_single\_layer*, and a similar -field in the HRRR is named *Total\_cloud\_cover\_entire\_atmosphere*. +``Total\_cloud\_cover\_entire\_atmosphere\_single\_layer``, and a similar +field in the HRRR is named ``Total\_cloud\_cover\_entire\_atmosphere``. PVLIB-Python aims to simplify the access of the model fields relevant for solar power forecasts. All models accessed via PVLIB-Python are -returned with uniform field names: *temperature, wind\_speed, -total\_clouds, low\_clouds, mid\_clouds, high\_clouds, dni, dhi, ghi*. To +returned with uniform field names: ``temperature, wind\_speed, +total\_clouds, low\_clouds, mid\_clouds, high\_clouds, dni, dhi, ghi``. To accomplish this, we use an object-oriented framework in which each weather model is represented by a class that inherits from a parent :py:ref:`~pvlib.forecast.ForecastModel` class. @@ -52,35 +52,33 @@ Siphon, while the child model-specific classes contain the code necessary to map and process that specific model's data to the standardized fields. +The code below demonstrates how simple it is to access +and plot forecast data using PVLIB-Python. + .. ipython:: python import pandas as pd import matplotlib.pyplot as plt # seaborn makes the plots look nicer - import seaborn as sns - sns.set_color_codes() + import seaborn as sns; sns.set_color_codes() # import forecast models from pvlib.forecast import GFS, NAM, NDFD, HRRR - # specify location - latitude = 32.2 - longitude = -110.9 - tz = 'US/Arizona' + # specify location (Tucson, AZ) + latitude, longitude, tz = 32.2, -110.9, 'US/Arizona' # specify time range - start = pd.Timestamp.now() + start = pd.Timestamp.now(tz=tz) end = start + pd.Timedelta(days=7) - timerange = pd.date_range(start, end, tz=tz) # GFS model, defaults to 0.5 degree resolution # 0.25 deg available model = GFS() # retrieve data. returns pandas.DataFrame object - data = model.get_query_data(latitude, longitude, - timerange) + data = model.get_query_data(latitude, longitude, start, end) # plot cloud cover percentages cloud_vars = ['total_clouds', 'low_clouds', diff --git a/pvlib/forecast.py b/pvlib/forecast.py index ae6956901e..e06778d9db 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -1,5 +1,5 @@ ''' -The 'forecast' module contains class definitions for +The 'forecast' module contains class definitions for retreiving forecasted data from UNIDATA Thredd servers. ''' import datetime @@ -19,7 +19,7 @@ class ForecastModel(object): ''' - An object for holding forecast model information for use within the + An object for holding forecast model information for use within the pvlib library. Simplifies use of siphon library on a THREDDS server. @@ -67,7 +67,7 @@ class ForecastModel(object): Indicates the use of a location bounding box. ncss: NCSS object NCSS model_name: string - Name of the UNIDATA forecast model. + Name of the UNIDATA forecast model. model: Dataset A dictionary of Dataset object, whose keys are the name of the dataset's name. @@ -92,7 +92,7 @@ class ForecastModel(object): Dictionary containing the unites of the variables in the query, where the keys are the common names. variables: dictionary - Dictionary that translates model specific variables to + Dictionary that translates model specific variables to common named variables. vert_level: float or integer Vertical altitude for query data. @@ -124,7 +124,7 @@ def __init__(self, model_type, model_name, set_type): self.catalog = TDSCatalog(self.catalog_url) self.fm_models = TDSCatalog(self.catalog.catalog_refs[model_type].href) self.fm_models_list = sorted(list(self.fm_models.catalog_refs.keys())) - + try: model_url = self.fm_models.catalog_refs[model_name].href except ParseError: @@ -141,10 +141,10 @@ def __init__(self, model_type, model_name, set_type): def set_dataset(self): ''' - Retreives the designated dataset, creates NCSS object, and + Retrieves the designated dataset, creates NCSS object, and initiates a NCSS query. - ''' + keys = list(self.model.datasets.keys()) labels = [item.split()[0].lower() for item in keys] if self.set_type == 'best': @@ -156,38 +156,28 @@ def set_dataset(self): self.access_url = self.dataset.access_urls[self.access_url_key] self.ncss = NCSS(self.access_url) - self.query = self.ncss.query() + self.query = self.ncss.query() + def set_query_latlon(self): ''' Sets the NCSS query location latitude and longitude. - ''' - if isinstance(self.longitude, list): + + if (isinstance(self.longitude, list) and + isinstance(self.latitude, list)): self.lbox = True # west, east, south, north - self.query.lonlat_box(self.latitude[0], self.latitude[1], - self.longitude[0], self.longitude[1]) + self.query.lonlat_box(self.latitude[0], self.latitude[1], + self.longitude[0], self.longitude[1]) else: self.lbox = False self.query.lonlat_point(self.longitude, self.latitude) - def set_query_time(self): - ''' - Sets the NCSS query time range. - - as: single or range - ''' - if len(self.utctime) == 1: - self.query.time(pd.to_datetime(self.utctime)[0]) - else: - self.query.time_range(pd.to_datetime(self.utctime)[0], - pd.to_datetime(self.utctime)[-1]) - def set_location(self, time): ''' - Sets the location for + Sets the location for the query. Parameters ---------- @@ -204,31 +194,37 @@ def set_location(self, time): else: self.location = Location(self.latitude, self.longitude, tz=tzinfo) - def get_query_data(self, latitude, longitude, time, vert_level=None, - variables=None): + + def get_query_data(self, latitude, longitude, start, end, + vert_level=None, variables=None): ''' - Submits a query to the UNIDATA servers using siphon NCSS and + Submits a query to the UNIDATA servers using Siphon NCSS and converts the netcdf data to a pandas DataFrame. Parameters ---------- - latitude: list - A list of floats containing latitude values. - longitude: list - A list of floats containing longitude values. - time: pd.datetimeindex - Time range of interest. - vert_level: float or integer + latitude: float + The latitude value. + longitude: float + The longitude value. + start: datetime or timestamp + The start time. + end: datetime or timestamp + The end time. + vert_level: None, float or integer Vertical altitude of interest. - variables: dictionary + variables: None or dict Variables and common names being queried. + If None, uses self.variables. Returns ------- - pd.DataFrame + forecast_data : DataFrame ''' + if vert_level is not None: self.vert_level = vert_level + if variables is not None: self.variables = variables self.modelvariables = list(self.variables.keys()) @@ -236,15 +232,15 @@ def get_query_data(self, latitude, longitude, time, vert_level=None, self.modelvariables] self.columns = self.modelvariables self.dataframe_variables = self.modelvariables - self.latitude = latitude self.longitude = longitude self.set_query_latlon() - self.set_location(time) + self.set_location(start) - self.utctime = localize_to_utc(time, self.location) - self.set_query_time() + self.start = localize_to_utc(start, self.location) + self.end = localize_to_utc(end, self.location) + self.query.time_range(self.start, self.end) self.query.vertical_level(self.vert_level) self.query.variables(*self.queryvariables) @@ -255,6 +251,7 @@ def get_query_data(self, latitude, longitude, time, vert_level=None, time_var = 'time' self.set_time(netcdf_data.variables[time_var]) except KeyError: + # which model does this dumb thing? time_var = 'time1' self.set_time(netcdf_data.variables[time_var]) @@ -262,7 +259,7 @@ def get_query_data(self, latitude, longitude, time, vert_level=None, self.set_variable_units(netcdf_data) self.set_variable_stdnames(netcdf_data) - if self.__class__.__name__ is 'HRRR': + if self.__class__.__name__ == 'HRRR': self.calc_temperature(netcdf_data) self.convert_temperature() self.calc_wind(netcdf_data) @@ -270,13 +267,14 @@ def get_query_data(self, latitude, longitude, time, vert_level=None, self.data = self.data.tz_convert(self.location.tz) - netcdf_data.close() + netcdf_data.close() + + return self.data - return self.data def netcdf2pandas(self, data): ''' - Transforms data from netcdf to pandas DataFrame. + Transforms data from netcdf to pandas DataFrame. Currently only supports one-dimensional netcdf data. @@ -351,7 +349,7 @@ def set_variable_stdnames(self, data): def calc_radiation(self, data, cloud_type='total_clouds'): ''' - Determines shortwave radiation values if they are missing from + Determines shortwave radiation values if they are missing from the model data. Parameters @@ -362,17 +360,17 @@ def calc_radiation(self, data, cloud_type='total_clouds'): Type of cloud cover to use for calculating radiation values. ''' self.rad_type = {} - if not self.lbox and cloud_type in self.modelvariables: + if not self.lbox and cloud_type in self.modelvariables: cloud_prct = self.data[cloud_type] solpos = get_solarposition(self.time, self.location) self.zenith = np.array(solpos.zenith.tz_convert('UTC')) for rad in ['dni','dhi','ghi']: if self.model_name is 'HRRR_ESRL': - # HRRR_ESRL is the only model with the + # HRRR_ESRL is the only model with the # correct equation of time. if rad in self.modelvariables: self.data[rad] = pd.Series( - data[self.variables[rad]][:].squeeze(), + data[self.variables[rad]][:].squeeze(), index=self.time) self.rad_type[rad] = 'forecast' self.data[rad].fillna(0, inplace=True) @@ -416,9 +414,9 @@ def calc_temperature(self, data): def calc_wind(self, data): ''' - Computes wind speed. + Computes wind speed. - In some cases only gust wind speed is available. The wind_type + In some cases only gust wind speed is available. The wind_type attribute will indicate the type of wind speed that is present. Parameters @@ -544,7 +542,7 @@ class HRRR_ESRL(ForecastModel): def __init__(self, set_type='best'): import warnings warnings.warn('HRRR_ESRL is an experimental model and is not always ' - + 'available.') + + 'available.') model_type = 'Forecast Model Data' model = 'GSD HRRR CONUS 3km surface' self.variables = { @@ -568,7 +566,7 @@ def __init__(self, set_type='best'): super(HRRR_ESRL, self).__init__(model_type, model, set_type) - + class NAM(ForecastModel): ''' Subclass of the ForecastModel class representing NAM forecast model. @@ -626,7 +624,7 @@ class HRRR(ForecastModel): ''' Subclass of the ForecastModel class representing HRRR forecast model. - Model data corresponds to NCEP HRRR CONUS 2.5km resolution + Model data corresponds to NCEP HRRR CONUS 2.5km resolution forecasts. Parameters @@ -653,7 +651,7 @@ class HRRR(ForecastModel): def __init__(self, set_type='best'): model_type = 'Forecast Model Data' - model = 'NCEP HRRR CONUS 2.5km' + model = 'NCEP HRRR CONUS 2.5km' self.variables = { 'temperature_iso':'Dewpoint_temperature_isobaric', 'temperature_dew_iso':'Temperature_isobaric', @@ -724,7 +722,7 @@ class RAP(ForecastModel): ''' Subclass of the ForecastModel class representing RAP forecast model. - Model data corresponds to Rapid Refresh CONUS 20km resolution + Model data corresponds to Rapid Refresh CONUS 20km resolution forecasts. Parameters diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 5e9a235f5f..2639eaaaef 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -25,7 +25,8 @@ _latitude = 32.2 _longitude = -110.9 _tz = 'US/Arizona' - _time = pd.DatetimeIndex([datetime.now()], tz=_tz) + _start = pd.Timestamp.now(tz=_tz) + _end = _start + pd.Timedelta(days=1) _models = [GFS, NAM, HRRR, RAP, NDFD, HRRR_ESRL] _working_models = [] _variables = np.array(['temperature', @@ -59,7 +60,7 @@ def test_fmcreation(): @requires_siphon def test_data_query(): for amodel in _working_models: - data = amodel.get_query_data(_latitude, _longitude, _time) + data = amodel.get_query_data(_latitude, _longitude, _start, _end) @requires_siphon def test_dataframe_variables(): @@ -73,24 +74,23 @@ def test_dataframe_variables(): def test_vert_level(): amodel = _working_models[0] vert_level = 5000 - data = amodel.get_query_data(_latitude, _longitude, _time, + data = amodel.get_query_data(_latitude, _longitude, _start, _end, vert_level=vert_level) @requires_siphon -def test_timerange(): +def test_datetime(): amodel = _working_models[0] - start = datetime.now() # today's date - end = start + timedelta(days=7) # 7 days from today - timerange = pd.date_range(start, end, tz=_tz) - data = amodel.get_query_data(_latitude, _longitude , timerange) + start = datetime.now() + end = start + timedelta(days=1) + data = amodel.get_query_data(_latitude, _longitude , start, end) @requires_siphon def test_queryvariables(): amodel = _working_models[0] old_variables = amodel.variables new_variables = {'u':'u-component_of_wind_height_above_ground'} - data = amodel.get_query_data(_latitude, _longitude, _time, - variables=new_variables) + data = amodel.get_query_data(_latitude, _longitude, _start, _end, + variables=new_variables) amodel.variables = old_variables @requires_siphon @@ -120,8 +120,8 @@ def test_bounding_box(): latitude = [31.2,32.2] longitude = [-111.9,-110.9] new_variables = {'temperature':'Temperature_surface'} - data = amodel.get_query_data(latitude, longitude, _time, - variables=new_variables) + data = amodel.get_query_data(latitude, longitude, _start, _end, + variables=new_variables) @requires_siphon def test_set_location(): From 968baf8128fd38b0bfcbb181adb2a7b609288730 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Tue, 16 Feb 2016 18:47:23 -0700 Subject: [PATCH 64/88] add irrad plot --- docs/sphinx/source/forecasts.rst | 22 ++++++++++++++++++---- 1 file changed, 18 insertions(+), 4 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index fc08519abf..1cdedb9493 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -88,7 +88,7 @@ and plot forecast data using PVLIB-Python. plt.xlabel('Forecast Time ({})'.format(tz)); plt.title('GFS 0.5 deg forecast for lat={}, lon={}' .format(latitude, longitude)); - @savefig cloud_cover.png width=6in + @savefig gfs_cloud_cover.png width=6in plt.legend() @@ -106,9 +106,23 @@ developers to explore alternatives. PVLIB-Python currently uses the Liu-Jordan [Liu60] model to convert cloud cover forecasts to irradiance forecasts, though it is fairly -simple to implement new models and provide additional options. Figure -**fix me** shows the result of the cloud cover to irradiance -conversion. Note that the GFS data is hourly resolution, thus the +simple to implement new models and provide additional options. +The figure below shows the result of the cloud cover to irradiance +conversion. + +.. ipython: python + + # plot irradiance data + irrad_vars = ['dni', 'ghi', 'dhi'] + data[irrad_vars].plot(); + plt.ylabel('Irradiance ($W/m^2$)'); + plt.xlabel('Forecast Time ({})'.format(tz)); + plt.title('GFS 0.5 deg forecast for lat={}, lon={}' + .format(latitude, longitude)); + @savefig gfs_irrad.png width=6in + plt.legend() + +Note that the GFS data is hourly resolution, thus the default irradiance forecasts are also hourly resolution. However, it is straightforward to interpolate the cloud cover forecasts onto a higher resolution time domain, and then recalculate the irradiance. We From 44211a98423e4a5c2e2763b8dc27d0ae1c92245a Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Tue, 16 Feb 2016 21:01:26 -0700 Subject: [PATCH 65/88] add model description and pv power --- docs/sphinx/source/forecasts.rst | 328 +++++++++++++++++++++---------- 1 file changed, 219 insertions(+), 109 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index 1cdedb9493..10c35a7636 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -4,23 +4,23 @@ Forecasting *********** -pvlib-python provides a set of functions and classes that make it easy to obtain -weather forecast data and convert that data into a PV power forecast. -Users can retrieve standardized weather forecast data relevant to PV -power modeling from NOAA/NCEP/NWS models including the GFS, NAM, RAP, -HRRR, and the NDFD. A PV power forecast can then be obtained using the -weather data as inputs to the comprehensive modeling capabilities of +pvlib-python provides a set of functions and classes that make it easy +to obtain weather forecast data and convert that data into a PV power +forecast. Users can retrieve standardized weather forecast data relevant +to PV power modeling from NOAA/NCEP/NWS models including the GFS, NAM, +RAP, HRRR, and the NDFD. A PV power forecast can then be obtained using +the weather data as inputs to the comprehensive modeling capabilities of PVLIB-Python. Standardized, open source, reference implementations of forecast methods using publicly available data may help advance the state-of-the-art of solar power forecasting. -pvlib-python uses Unidata's -`Siphon `_ library to simplify -access to forecast data hosted on the Unidata -`THREDDS catalog `_. +pvlib-python uses Unidata's `Siphon +`_ library to simplify access +to forecast data hosted on the Unidata `THREDDS catalog +`_. -This document demonstrates how to use pvlib-python to create -a PV power forecast using these tools. +This document demonstrates how to use pvlib-python to create a PV power +forecast using these tools. Accessing Forecast Data @@ -36,24 +36,25 @@ in all models. For example, on the THREDDS server, the GFS has a field named ``Total\_cloud\_cover\_entire\_atmosphere\_Mixed\_intervals\_Average``, while the RAP has a field named -``Total\_cloud\_cover\_entire\_atmosphere\_single\_layer``, and a similar -field in the HRRR is named ``Total\_cloud\_cover\_entire\_atmosphere``. +``Total\_cloud\_cover\_entire\_atmosphere\_single\_layer``, and a +similar field in the HRRR is named +``Total\_cloud\_cover\_entire\_atmosphere``. PVLIB-Python aims to simplify the access of the model fields relevant for solar power forecasts. All models accessed via PVLIB-Python are returned with uniform field names: ``temperature, wind\_speed, -total\_clouds, low\_clouds, mid\_clouds, high\_clouds, dni, dhi, ghi``. To -accomplish this, we use an object-oriented framework in which each +total\_clouds, low\_clouds, mid\_clouds, high\_clouds, dni, dhi, ghi``. +To accomplish this, we use an object-oriented framework in which each weather model is represented by a class that inherits from a parent :py:ref:`~pvlib.forecast.ForecastModel` class. -The parent :py:ref:`~pvlib.forecast.ForecastModel` class -contains the common code for accessing and parsing the data using -Siphon, while the child model-specific classes contain the code -necessary to map and process that specific model's data to the -standardized fields. +The parent :py:ref:`~pvlib.forecast.ForecastModel` class contains the +common code for accessing and parsing the data using Siphon, while the +child model-specific classes contain the code necessary to map and +process that specific model's data to the standardized fields. -The code below demonstrates how simple it is to access -and plot forecast data using PVLIB-Python. +The code below demonstrates how simple it is to access and plot forecast +data using PVLIB-Python. First, we set up make the basic imports and +then set the location and time range data. .. ipython:: python @@ -63,8 +64,8 @@ and plot forecast data using PVLIB-Python. # seaborn makes the plots look nicer import seaborn as sns; sns.set_color_codes() - # import forecast models - from pvlib.forecast import GFS, NAM, NDFD, HRRR + # import pvlib forecast models + from pvlib.forecast import GFS, NAM, NDFD, HRRR, RAP # specify location (Tucson, AZ) latitude, longitude, tz = 32.2, -110.9, 'US/Arizona' @@ -73,6 +74,12 @@ and plot forecast data using PVLIB-Python. start = pd.Timestamp.now(tz=tz) end = start + pd.Timedelta(days=7) + +Next, we instantiate a GFS model object and get the forecast data +from Unidata. + +.. ipython:: python + # GFS model, defaults to 0.5 degree resolution # 0.25 deg available model = GFS() @@ -80,6 +87,13 @@ and plot forecast data using PVLIB-Python. # retrieve data. returns pandas.DataFrame object data = model.get_query_data(latitude, longitude, start, end) + print(data.head()) + + +Finally, we plot the GFS cloud cover data. + +.. ipython:: python + # plot cloud cover percentages cloud_vars = ['total_clouds', 'low_clouds', 'mid_clouds', 'high_clouds'] @@ -89,28 +103,27 @@ and plot forecast data using PVLIB-Python. plt.title('GFS 0.5 deg forecast for lat={}, lon={}' .format(latitude, longitude)); @savefig gfs_cloud_cover.png width=6in - plt.legend() + plt.legend(); Cloud cover and radiation ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Many of forecast models do not include radiation components in their output -fields, or if they do they suffer from poor solar -position calculations or radiative transfer algorithms. -It is often more accurate to create empirically derived -radiation forecasts from the weather models' cloud cover -forecasts. pvlib-python currently uses the Liu Jordan model -to convert cloud cover to radiation, however, we encourage -developers to explore alternatives. +Many of forecast models do not include radiation components in their +output fields, or if they do the radiation fields suffer from poor solar +position calculations or radiative transfer algorithms. It is often more +accurate to create empirically derived radiation forecasts from the +weather models' cloud cover forecasts. pvlib-python currently uses the +Liu Jordan model to convert cloud cover to radiation, however, we +encourage developers to explore alternatives. -PVLIB-Python currently uses the Liu-Jordan [Liu60] model to convert +PVLIB-Python currently uses the Liu-Jordan [Liu60]_ model to convert cloud cover forecasts to irradiance forecasts, though it is fairly -simple to implement new models and provide additional options. -The figure below shows the result of the cloud cover to irradiance +simple to implement new models and provide additional options. The +figure below shows the result of the cloud cover to irradiance conversion. -.. ipython: python +.. ipython:: python # plot irradiance data irrad_vars = ['dni', 'ghi', 'dhi'] @@ -120,107 +133,204 @@ conversion. plt.title('GFS 0.5 deg forecast for lat={}, lon={}' .format(latitude, longitude)); @savefig gfs_irrad.png width=6in - plt.legend() + plt.legend(); -Note that the GFS data is hourly resolution, thus the -default irradiance forecasts are also hourly resolution. However, it is -straightforward to interpolate the cloud cover forecasts onto a higher -resolution time domain, and then recalculate the irradiance. We -reiterate that the open source, permissively licensed, and accessible -code enables users to customize the model processing to their liking. + +Note that the GFS data is hourly resolution, thus the default irradiance +forecasts are also hourly resolution. However, it is straightforward to +interpolate the cloud cover forecasts onto a higher resolution time +domain, and then recalculate the irradiance. We reiterate that the open +source code enables users to customize the model processing to their +liking. .. [Liu60] B. Y. Liu and R. C. Jordan, The interrelationship and characteristic distribution of direct, diffuse, and total solar radiation, *Solar Energy* **4**, 1 (1960). -pvlib-python Forecast Module Overview -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Forecasts in pvlib-python aim to be: +Weather Models +~~~~~~~~~~~~~~ + +Next, we provide a brief description of the weather models available +to pvlib users. + +GFS +--- +The Global Forecast System (GFS) is the US model that provides forecasts +for the entire globe. There is a lot of hype about how "the Euro" +(ECMWF) model is superior to the GFS. The GFS is still a great model. On +standard meteorology metrics, the ECMWF is superior to the GFS by about +a day. In other words, the accuracy of the GFS at 6 days out is +comparable to the ECMWF at 5 days out. The GFS is updated every 6 hours. +The GFS is run at two resolutions, 0.25 deg and 0.5 deg. Forecasts from +GFS model were shown above. Use the GFS, among others, if you want +forecasts for 1-7 days. + + +HRRR +---- +The High Resolution Rapid Refresh (HRRR) model is perhaps the most +accurate model, however, it is only available for ~15 hours. It is +updated every hour and runs at 3 km resolution. The HRRR excels in +severe weather situations. A major upgrade to the HRRR model is expected +in Spring, 2016. See the `NOAA ESRL HRRR page +`_ for more information. Use the +HRRR, among others, if you want forecasts for less than 24 hours. + +.. ipython:: python + + model = HRRR() + data = model.get_query_data(latitude, longitude, start, end) -* Simple and easy to use -* Comprehensive -* Flexible -* Integrated -* Standardized + data[irrad_vars].plot(); + plt.ylabel('Irradiance ($W/m^2$)'); + plt.xlabel('Forecast Time ({})'.format(tz)); + plt.title('HRRR 3 km forecast for lat={}, lon={}' + .format(latitude, longitude)); + @savefig hrrr_irrad.png width=6in + plt.legend(); -pvlib-python's forecasting tools address a number of common issues with -weather model data: +RAP +--- +The Rapid Refresh (RAP) model is the parent model for the HRRR. It is +updated every hour and runs at 13 km resolution. It is also excels in +severe weather situations. A major upgrade to the RAP model is expected +in Spring, 2016. See the `NOAA ESRL HRRR page +`_ for more information. Use the +RAP, among others, if you want forecasts for less than 24 hours. -* Data format dissimilarities between forecast models - * Forecast period - Many of the forecasts come at different intervals - and span different lengths of time. - * Variables provided - The model share many of the same quantities, - however they are labeled using different terms - or need to be converted into useful values. - * Data availability - The models are updated a different intervals and - also are sometimes missing data. +.. ipython:: python -* Irradiance - * Cloud cover and radiation - Many of the forecast models do not have radiation - fields, or if they do they suffer from poor solar - position calculations or radiative transfer algorithms. - It is often more accurate to create empirically derived - radiation forecasts from the weather models' cloud cover - forecasts. pvlib-python currently uses the Liu Jordan model - to convert cloud cover to radiation, however, we encourage - developers to explore alternatives. + model = RAP() + data = model.get_query_data(latitude, longitude, start, end) -.. math:: + data[irrad_vars].plot(); + plt.ylabel('Irradiance ($W/m^2$)'); + plt.xlabel('Forecast Time ({})'.format(tz)); + plt.title('RAP 13 km forecast for lat={}, lon={}' + .format(latitude, longitude)); + @savefig rap_irrad.png width=6in + plt.legend(); - DNI &= {\tau} ^m DNI_{ET} \\ - DHI &= 0.3(1 - {\tau} ^m)cos{\psi}DNI_{ET} +NAM +--- +The North American Mesoscale model is a somewhat older model that is +target of frequent criticism, justly or not. It is updated every 6 hours +and runs at 20 km resolution. Use the NAM as part of an ensemble forecast. +.. ipython:: python -Forecast Module Structure -~~~~~~~~~~~~~~~~~~~~~~~~~ + model = NAM() + data = model.get_query_data(latitude, longitude, start, end) -Model subclass -~~~~~~~~~~~~~~ + data[irrad_vars].plot(); + plt.ylabel('Irradiance ($W/m^2$)'); + plt.xlabel('Forecast Time ({})'.format(tz)); + plt.title('NAM 20 km forecast for lat={}, lon={}' + .format(latitude, longitude)); + @savefig nam_irrad.png width=6in + plt.legend(); + + +NDFD +---- +The National Digital Forecast Database is not a model, but rather a +collection of forecasts made by National Weather Service offices +across the country. It is updated every 6 hours. +Use the NDFD, among others, for forecasts at all time horizons. + +.. ipython:: python + + model = NDFD() + data = model.get_query_data(latitude, longitude, start, end) + + data[irrad_vars].plot(); + plt.ylabel('Irradiance ($W/m^2$)'); + plt.xlabel('Forecast Time ({})'.format(tz)); + plt.title('NDFD forecast for lat={}, lon={}' + .format(latitude, longitude)); + @savefig ndfd_irrad.png width=6in + plt.legend(); + + +PV Power Forecast +~~~~~~~~~~~~~~~~~ -Each forecast model has its own subclass. -These subclasses belong to a more comprehensive parent -class that holds many of the methods used by every model. +Finally, we demonstrate the application of the weather forecast data to +a PV power forecast. Please see the remainder of the pvlib documentation +for details. -Within each subclass model specific variables are -assigned to common variable labels that are -available from each forecast model. +.. ipython:: python + + from pvlib.location import Location + from pvlib import pvsystem, irradiance, atmosphere, solarposition + + surface_tilt = 30 + surface_azimuth = 180 + albedo = 0.2 + + sandia_modules = pvsystem.retrieve_sam(name='SandiaMod') + sapm_inverters = pvsystem.retrieve_sam('sandiainverter') + module = sandia_modules['Canadian_Solar_CS5P_220M___2009_'] + inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_'] + + model = GFS() + forecast_data = model.get_query_data(latitude, longitude, start, end) + + +Now we need to calculate some PV modeling intermediates... -Here are the subclasses for two models. +.. ipython:: python + + time = forecast_data.index + + solpos = solarposition.get_solarposition(time, model.location) + + dni_extra = irradiance.extraradiation(time) + dni_extra = pd.Series(dni_extra, index=time) -.. image:: images/gfs.jpg -.. image:: images/ndfd.jpg + airmass = atmosphere.relativeairmass(solpos['apparent_zenith']) + poa_sky_diffuse = irradiance.haydavies(surface_tilt, surface_azimuth, + forecast_data['dhi'], forecast_data['dni'], dni_extra, + solpos['apparent_zenith'], solpos['azimuth']) -ForecastModel class -~~~~~~~~~~~~~~~~~~~ + poa_ground_diffuse = irradiance.grounddiffuse(surface_tilt, forecast_data['ghi'], albedo=albedo) -The following code is part of the parent class that -each forecast model belongs to. + aoi = irradiance.aoi(surface_tilt, surface_azimuth, + solpos['apparent_zenith'], solpos['azimuth']) -.. image:: images/forecastmodel.jpg + # forecast plane of array irradiance + poa_irrad = irradiance.globalinplane(aoi, forecast_data['dni'], + poa_sky_diffuse, poa_ground_diffuse) -Upon instatiation of a forecast model, several assignments are -made and functions called to initialize -values and objects within the class. + poa_irrad.plot(); + @savefig poa_irrad.png width=6in + plt.ylabel('Plane of array irradiance ($W/m**2$)') -.. image:: images/fm_init.jpg + # forecast module and cell temperatures, + # accounting for irrad, wind, and ambient temp + pvtemps = pvsystem.sapm_celltemp(poa_irrad['poa_global'], + forecast_data['wind_speed'], + forecast_data['temperature']) -The query function is responsible for completing the retrieval -of data from the Unidata THREDDS server using -the Unidata siphon THREDDS server API. + pvtemps.plot(); + @savefig pv_temps.png width=6in + plt.ylabel('Temperature (C)') + + +Finally, we can calculate DC and AC power. + +.. ipython:: python -.. image:: images/query.jpg + dc = pvsystem.sapm(module, poa_irrad['poa_direct'], poa_irrad['poa_diffuse'], + pvtemps['temp_cell'], airmass, aoi) -The ForecastModel class also contains miscellaneous functions -that process raw NetCDF data from the THREDDS -server and create a DataFrame for all the processed data. + ac = pvsystem.snlinverter(inverter, dc['v_mp'], dc['p_mp']) -.. image:: images/tempconvert.jpg + ac.plot(); + @savefig ac_power.png width=6in + plt.ylabel('AC Power (W)') From 0360e07e1a28b84870a5745e98b5c56c8338b42a Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 17 Feb 2016 11:24:18 -0700 Subject: [PATCH 66/88] edit docs --- docs/sphinx/source/forecasts.rst | 36 ++++++++++++++++++-------------- 1 file changed, 20 insertions(+), 16 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index 10c35a7636..a904d42c06 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -34,23 +34,25 @@ Unfortunately, many of these models use different names to describe the same quantity (or a very similar one), and not all variables are present in all models. For example, on the THREDDS server, the GFS has a field named -``Total\_cloud\_cover\_entire\_atmosphere\_Mixed\_intervals\_Average``, +``Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average``, while the RAP has a field named -``Total\_cloud\_cover\_entire\_atmosphere\_single\_layer``, and a +``Total_cloud_cover_entire_atmosphere_single_layer``, and a similar field in the HRRR is named -``Total\_cloud\_cover\_entire\_atmosphere``. +``Total_cloud_cover_entire_atmosphere``. PVLIB-Python aims to simplify the access of the model fields relevant -for solar power forecasts. All models accessed via PVLIB-Python are -returned with uniform field names: ``temperature, wind\_speed, -total\_clouds, low\_clouds, mid\_clouds, high\_clouds, dni, dhi, ghi``. -To accomplish this, we use an object-oriented framework in which each -weather model is represented by a class that inherits from a parent -:py:ref:`~pvlib.forecast.ForecastModel` class. -The parent :py:ref:`~pvlib.forecast.ForecastModel` class contains the +for solar power forecasts. Model data accessed with PVLIB-Python is +returned as a pandas DataFrame with consistent column names: +``temperature, wind_speed, total_clouds, low_clouds, mid_clouds, +high_clouds, dni, dhi, ghi``. To accomplish this, we use an +object-oriented framework in which each weather model is represented by +a class that inherits from a parent +:py:class:`~pvlib.forecast.ForecastModel` class. +The parent :py:class:`~pvlib.forecast.ForecastModel` class contains the common code for accessing and parsing the data using Siphon, while the -child model-specific classes contain the code necessary to map and -process that specific model's data to the standardized fields. +child model-specific classes (:py:class:`~pvlib.forecast.GFS`, +:py:class:`~pvlib.forecast.HRRR`, etc.) contain the code necessary to +map and process that specific model's data to the standardized fields. The code below demonstrates how simple it is to access and plot forecast data using PVLIB-Python. First, we set up make the basic imports and @@ -60,6 +62,7 @@ then set the location and time range data. import pandas as pd import matplotlib.pyplot as plt + import datetime # seaborn makes the plots look nicer import seaborn as sns; sns.set_color_codes() @@ -70,8 +73,8 @@ then set the location and time range data. # specify location (Tucson, AZ) latitude, longitude, tz = 32.2, -110.9, 'US/Arizona' - # specify time range - start = pd.Timestamp.now(tz=tz) + # specify time range. + start = pd.Timestamp(datetime.date.today(), tz=tz) end = start + pd.Timedelta(days=7) @@ -151,8 +154,9 @@ liking. Weather Models ~~~~~~~~~~~~~~ -Next, we provide a brief description of the weather models available -to pvlib users. +Next, we provide a brief description of the weather models available to +pvlib users. Note that the figures are generated when this documentation +is compiled so they will vary over time. GFS --- From e76917d9708d08a53b4657aee8f32d546ee8066a Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 17 Feb 2016 18:49:13 -0700 Subject: [PATCH 67/88] pep8 stuff --- pvlib/__init__.py | 4 +- pvlib/forecast.py | 221 ++++++++++++++++++++++------------------------ 2 files changed, 109 insertions(+), 116 deletions(-) diff --git a/pvlib/__init__.py b/pvlib/__init__.py index 0754269e78..aaa16ade82 100644 --- a/pvlib/__init__.py +++ b/pvlib/__init__.py @@ -4,11 +4,11 @@ from pvlib import tools from pvlib import atmosphere from pvlib import clearsky -#from pvlib import forecast +from pvlib import forecast from pvlib import irradiance from pvlib import location from pvlib import solarposition from pvlib import tmy from pvlib import tracking from pvlib import pvsystem -from pvlib import spa \ No newline at end of file +from pvlib import spa diff --git a/pvlib/forecast.py b/pvlib/forecast.py index e06778d9db..fc7f23115b 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -19,8 +19,8 @@ class ForecastModel(object): ''' - An object for holding forecast model information for use within the - pvlib library. + An object for querying and holding forecast model information for + use within the pvlib library. Simplifies use of siphon library on a THREDDS server. @@ -138,7 +138,6 @@ def __init__(self, model_type, model_name, set_type): self.datasets_list = list(self.model.datasets.keys()) self.set_dataset() - def set_dataset(self): ''' Retrieves the designated dataset, creates NCSS object, and @@ -158,7 +157,6 @@ def set_dataset(self): self.ncss = NCSS(self.access_url) self.query = self.ncss.query() - def set_query_latlon(self): ''' Sets the NCSS query location latitude and longitude. @@ -174,7 +172,6 @@ def set_query_latlon(self): self.lbox = False self.query.lonlat_point(self.longitude, self.latitude) - def set_location(self, time): ''' Sets the location for the query. @@ -194,7 +191,6 @@ def set_location(self, time): else: self.location = Location(self.latitude, self.longitude, tz=tzinfo) - def get_query_data(self, latitude, longitude, start, end, vert_level=None, variables=None): ''' @@ -228,8 +224,8 @@ def get_query_data(self, latitude, longitude, start, end, if variables is not None: self.variables = variables self.modelvariables = list(self.variables.keys()) - self.queryvariables = [self.variables[key] for key in \ - self.modelvariables] + self.queryvariables = [self.variables[key] for key in + self.modelvariables] self.columns = self.modelvariables self.dataframe_variables = self.modelvariables @@ -271,7 +267,6 @@ def get_query_data(self, latitude, longitude, start, end, return self.data - def netcdf2pandas(self, data): ''' Transforms data from netcdf to pandas DataFrame. @@ -364,7 +359,7 @@ def calc_radiation(self, data, cloud_type='total_clouds'): cloud_prct = self.data[cloud_type] solpos = get_solarposition(self.time, self.location) self.zenith = np.array(solpos.zenith.tz_convert('UTC')) - for rad in ['dni','dhi','ghi']: + for rad in ['dni', 'dhi', 'ghi']: if self.model_name is 'HRRR_ESRL': # HRRR_ESRL is the only model with the # correct equation of time. @@ -375,9 +370,10 @@ def calc_radiation(self, data, cloud_type='total_clouds'): self.rad_type[rad] = 'forecast' self.data[rad].fillna(0, inplace=True) else: - for rad in ['dni','dhi','ghi']: + for rad in ['dni', 'dhi', 'ghi']: self.rad_type[rad] = 'liujordan' - self.data[rad] = liujordan(self.zenith, cloud_prct)[rad] + self.data[rad] = liujordan(self.zenith, + cloud_prct)[rad] self.data[rad].fillna(0, inplace=True) for var in ['dni', 'dhi', 'ghi']: @@ -387,9 +383,11 @@ def calc_radiation(self, data, cloud_type='total_clouds'): def convert_temperature(self): ''' Converts Kelvin to celsius. - ''' - if 'Temperature_surface' in self.queryvariables or 'Temperature_isobaric' in self.queryvariables: + + if ('Temperature_surface' in self.queryvariables or + 'Temperature_isobaric' in self.queryvariables): + self.data['temperature'] -= 273.15 self.var_units['temperature'] = 'C' @@ -402,6 +400,7 @@ def calc_temperature(self, data): data: netcdf Query data in netcdf format. ''' + P = data['Pressure_surface'][:].squeeze() / 100.0 Tiso = data['Temperature_isobaric'][:].squeeze() Td = data['Dewpoint_temperature_isobaric'][:].squeeze() - 273.15 @@ -425,9 +424,10 @@ def calc_wind(self, data): Query data in netcdf format. ''' if not self.lbox: - if 'u-component_of_wind_isobaric' in self.queryvariables and \ - 'v-component_of_wind_isobaric' in self.queryvariables: - wind_data = np.sqrt(\ + if ('u-component_of_wind_isobaric' in self.queryvariables and + 'v-component_of_wind_isobaric' in self.queryvariables): + + wind_data = np.sqrt( data['u-component_of_wind_isobaric'][:].squeeze()**2 + data['v-component_of_wind_isobaric'][:].squeeze()**2) self.wind_type = 'component' @@ -477,35 +477,29 @@ def __init__(self, res='half', set_type='best'): elif res == 'quarter': model = 'GFS Quarter Degree Forecast' self.variables = { - 'temperature':'Temperature_surface', - 'wind_speed_gust':'Wind_speed_gust_surface', - 'wind_speed_u':'u-component_of_wind_isobaric', - 'wind_speed_v':'v-component_of_wind_isobaric', - 'total_clouds': - 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', - 'low_clouds': - 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', - 'mid_clouds': - 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', - 'high_clouds': - 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', - 'boundary_clouds': - 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', - 'convect_clouds':'Total_cloud_cover_convective_cloud', - 'ghi': - 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', } + 'temperature': 'Temperature_surface', + 'wind_speed_gust': 'Wind_speed_gust_surface', + 'wind_speed_u': 'u-component_of_wind_isobaric', + 'wind_speed_v': 'v-component_of_wind_isobaric', + 'total_clouds': 'Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average', + 'low_clouds': 'Total_cloud_cover_low_cloud_Mixed_intervals_Average', + 'mid_clouds': 'Total_cloud_cover_middle_cloud_Mixed_intervals_Average', + 'high_clouds': 'Total_cloud_cover_high_cloud_Mixed_intervals_Average', + 'boundary_clouds': 'Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average', + 'convect_clouds': 'Total_cloud_cover_convective_cloud', + 'ghi': 'Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average', } self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in \ - self.modelvariables] + self.queryvariables = [self.variables[key] for key in + self.modelvariables] self.dataframe_variables = [ - 'temperature', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', - 'boundary_clouds', - 'convect_clouds', - 'ghi', ] + 'temperature', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'boundary_clouds', + 'convect_clouds', + 'ghi', ] super(GFS, self).__init__(model_type, model, set_type) @@ -541,32 +535,31 @@ class HRRR_ESRL(ForecastModel): def __init__(self, set_type='best'): import warnings - warnings.warn('HRRR_ESRL is an experimental model and is not always ' - + 'available.') + warnings.warn('HRRR_ESRL is an experimental model and is not always' + + ' available.') model_type = 'Forecast Model Data' model = 'GSD HRRR CONUS 3km surface' self.variables = { - 'temperature':'Temperature_surface', - 'wind_speed_gust':'Wind_speed_gust_surface', - 'total_clouds':'Total_cloud_cover_entire_atmosphere', - 'low_clouds':'Low_cloud_cover_UnknownLevelType-214', - 'mid_clouds':'Medium_cloud_cover_UnknownLevelType-224', - 'high_clouds':'High_cloud_cover_UnknownLevelType-234', - 'ghi':'Downward_short-wave_radiation_flux_surface', } + 'temperature': 'Temperature_surface', + 'wind_speed_gust': 'Wind_speed_gust_surface', + 'total_clouds': 'Total_cloud_cover_entire_atmosphere', + 'low_clouds': 'Low_cloud_cover_UnknownLevelType-214', + 'mid_clouds': 'Medium_cloud_cover_UnknownLevelType-224', + 'high_clouds': 'High_cloud_cover_UnknownLevelType-234', + 'ghi': 'Downward_short-wave_radiation_flux_surface', } self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in \ - self.modelvariables] + self.queryvariables = [self.variables[key] for key in + self.modelvariables] self.dataframe_variables = [ - 'temperature', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', - 'ghi', ] + 'temperature', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'ghi', ] super(HRRR_ESRL, self).__init__(model_type, model, set_type) - class NAM(ForecastModel): ''' Subclass of the ForecastModel class representing NAM forecast model. @@ -596,27 +589,27 @@ class NAM(ForecastModel): specific variables. ''' - def __init__(self,set_type='best'): + def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'NAM CONUS 12km from CONDUIT' self.variables = { - 'temperature':'Temperature_surface', - 'wind_speed_gust':'Wind_speed_gust_surface', - 'total_clouds':'Total_cloud_cover_entire_atmosphere_single_layer', - 'low_clouds':'Low_cloud_cover_low_cloud', - 'mid_clouds':'Medium_cloud_cover_middle_cloud', - 'high_clouds':'High_cloud_cover_high_cloud', - 'ghi':'Downward_Short-Wave_Radiation_Flux_surface', } + 'temperature': 'Temperature_surface', + 'wind_speed_gust': 'Wind_speed_gust_surface', + 'total_clouds': 'Total_cloud_cover_entire_atmosphere_single_layer', + 'low_clouds': 'Low_cloud_cover_low_cloud', + 'mid_clouds': 'Medium_cloud_cover_middle_cloud', + 'high_clouds': 'High_cloud_cover_high_cloud', + 'ghi': 'Downward_Short-Wave_Radiation_Flux_surface', } self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in \ - self.modelvariables] + self.queryvariables = [self.variables[key] for key in + self.modelvariables] self.dataframe_variables = [ - 'temperature', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', - 'ghi', ] + 'temperature', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'ghi', ] super(NAM, self).__init__(model_type, model, set_type) @@ -653,23 +646,23 @@ def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'NCEP HRRR CONUS 2.5km' self.variables = { - 'temperature_iso':'Dewpoint_temperature_isobaric', - 'temperature_dew_iso':'Temperature_isobaric', - 'pressure':'Pressure_surface', - 'wind_speed_gust':'Wind_speed_gust_surface', - 'total_clouds':'Total_cloud_cover_entire_atmosphere', - 'low_clouds':'Low_cloud_cover_low_cloud', - 'mid_clouds':'Medium_cloud_cover_middle_cloud', - 'high_clouds':'High_cloud_cover_high_cloud', - 'condensation_height':'Geopotential_height_adiabatic_condensation_lifted'} + 'temperature_iso': 'Dewpoint_temperature_isobaric', + 'temperature_dew_iso': 'Temperature_isobaric', + 'pressure': 'Pressure_surface', + 'wind_speed_gust': 'Wind_speed_gust_surface', + 'total_clouds': 'Total_cloud_cover_entire_atmosphere', + 'low_clouds': 'Low_cloud_cover_low_cloud', + 'mid_clouds': 'Medium_cloud_cover_middle_cloud', + 'high_clouds': 'High_cloud_cover_high_cloud', + 'condensation_height': 'Geopotential_height_adiabatic_condensation_lifted'} self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in \ - self.modelvariables] + self.queryvariables = [self.variables[key] for key in + self.modelvariables] self.dataframe_variables = [ - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', ] + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', ] super(HRRR, self).__init__(model_type, model, set_type) @@ -705,16 +698,16 @@ def __init__(self, set_type='best'): model_type = 'Forecast Products and Analyses' model = 'National Weather Service CONUS Forecast Grids (CONDUIT)' self.variables = { - 'temperature':'Temperature_surface', - 'wind_speed':'Wind_speed_surface', - 'wind_speed_gust':'Wind_speed_gust_surface', - 'total_clouds':'Total_cloud_cover_surface', } + 'temperature': 'Temperature_surface', + 'wind_speed': 'Wind_speed_surface', + 'wind_speed_gust': 'Wind_speed_gust_surface', + 'total_clouds': 'Total_cloud_cover_surface', } self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in \ - self.modelvariables] + self.queryvariables = [self.variables[key] for key in + self.modelvariables] self.dataframe_variables = [ - 'temperature', - 'total_clouds', ] + 'temperature', + 'total_clouds', ] super(NDFD, self).__init__(model_type, model, set_type) @@ -751,19 +744,19 @@ def __init__(self, set_type='best'): model_type = 'Forecast Model Data' model = 'Rapid Refresh CONUS 20km' self.variables = { - 'temperature':'Temperature_surface', - 'wind_speed_gust':'Wind_speed_gust_surface', - 'total_clouds':'Total_cloud_cover_entire_atmosphere_single_layer', - 'low_clouds':'Low_cloud_cover_low_cloud', - 'mid_clouds':'Medium_cloud_cover_middle_cloud', - 'high_clouds':'High_cloud_cover_high_cloud', } + 'temperature': 'Temperature_surface', + 'wind_speed_gust': 'Wind_speed_gust_surface', + 'total_clouds': 'Total_cloud_cover_entire_atmosphere_single_layer', + 'low_clouds': 'Low_cloud_cover_low_cloud', + 'mid_clouds': 'Medium_cloud_cover_middle_cloud', + 'high_clouds': 'High_cloud_cover_high_cloud', } self.modelvariables = self.variables.keys() - self.queryvariables = [self.variables[key] for key in \ - self.modelvariables] + self.queryvariables = [self.variables[key] for key in + self.modelvariables] self.dataframe_variables = [ - 'temperature', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', ] + 'temperature', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', ] super(RAP, self).__init__(model_type, model, set_type) From cfbae8dd575bdf7ad751cb50406b0c4f53f06903 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 17 Feb 2016 20:49:50 -0700 Subject: [PATCH 68/88] refactor calc_radiation, add repr, add test generator --- docs/sphinx/source/forecasts.rst | 48 +++++++++++----- pvlib/forecast.py | 97 ++++++++++++++++++-------------- pvlib/test/test_forecast.py | 28 +++++---- 3 files changed, 104 insertions(+), 69 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index a904d42c06..55a4cae4b2 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -116,14 +116,12 @@ Many of forecast models do not include radiation components in their output fields, or if they do the radiation fields suffer from poor solar position calculations or radiative transfer algorithms. It is often more accurate to create empirically derived radiation forecasts from the -weather models' cloud cover forecasts. pvlib-python currently uses the -Liu Jordan model to convert cloud cover to radiation, however, we -encourage developers to explore alternatives. +weather models' cloud cover forecasts. PVLIB-Python currently uses the Liu-Jordan [Liu60]_ model to convert -cloud cover forecasts to irradiance forecasts, though it is fairly -simple to implement new models and provide additional options. The -figure below shows the result of the cloud cover to irradiance +total cloud cover forecasts to irradiance forecasts. We encourage pvlib +users to implement new cloud cover to irradiance algorithms. The figure +below shows the result of the Liu-Jordan total cloud cover to irradiance conversion. .. ipython:: python @@ -139,12 +137,30 @@ conversion. plt.legend(); -Note that the GFS data is hourly resolution, thus the default irradiance -forecasts are also hourly resolution. However, it is straightforward to -interpolate the cloud cover forecasts onto a higher resolution time -domain, and then recalculate the irradiance. We reiterate that the open -source code enables users to customize the model processing to their -liking. +Most weather model output has a fairly coarse time resolution, at least +an hour. The irradiance forecasts have the same time resolution as the +weather data. However, it is straightforward to interpolate the cloud +cover forecasts onto a higher resolution time domain, and then +recalculate the irradiance. + +.. ipython:: python + + from pvlib import solarposition + from pvlib import irradiance + total_clouds = data['total_clouds'].resample('5min').interpolate() + solar_position = solarposition.get_solarposition(total_clouds.index, model.location) + irrad_data = irradiance.liujordan(solar_position['apparent_zenith'], total_clouds) + irrad_data.plot(); + plt.ylabel('Irradiance ($W/m^2$)'); + plt.xlabel('Forecast Time ({})'.format(tz)); + plt.title('GFS 0.5 deg forecast for lat={}, lon={}' + .format(latitude, longitude)); + @savefig gfs_irrad_high_res.png width=6in + plt.legend(); + + +We reiterate that the open source code enables users to customize the +model processing to their liking. .. [Liu60] B. Y. Liu and R. C. Jordan, The interrelationship and characteristic distribution of direct, diffuse, and total solar @@ -166,9 +182,10 @@ for the entire globe. There is a lot of hype about how "the Euro" standard meteorology metrics, the ECMWF is superior to the GFS by about a day. In other words, the accuracy of the GFS at 6 days out is comparable to the ECMWF at 5 days out. The GFS is updated every 6 hours. -The GFS is run at two resolutions, 0.25 deg and 0.5 deg. Forecasts from -GFS model were shown above. Use the GFS, among others, if you want -forecasts for 1-7 days. +The GFS is run at two resolutions, 0.25 deg and 0.5 deg, and is +available with 3 hour time resolution. Forecasts from GFS model were +shown above. Use the GFS, among others, if you want forecasts for 1-7 +days. HRRR @@ -335,6 +352,7 @@ Finally, we can calculate DC and AC power. ac = pvsystem.snlinverter(inverter, dc['v_mp'], dc['p_mp']) ac.plot(); + plt.ylim(0, None); @savefig ac_power.png width=6in plt.ylabel('AC Power (W)') diff --git a/pvlib/forecast.py b/pvlib/forecast.py index fc7f23115b..1541632235 100644 --- a/pvlib/forecast.py +++ b/pvlib/forecast.py @@ -81,6 +81,8 @@ class ForecastModel(object): Variables that are used to query the THREDDS Data Server. rad_type: dictionary Dictionary labeling the method used for calculating radiation values. + solar_position: DataFrame + Solar position for the forecast times. time: datetime Time range specified for the NCSS query. utctime: DatetimeIndex @@ -98,8 +100,6 @@ class ForecastModel(object): Vertical altitude for query data. wind_type: string Quantity that was used to calculate wind_speed. - zenith: numpy.array - Solar zenith angles for the given time range. ''' access_url_key = 'NetcdfSubset' @@ -107,15 +107,15 @@ class ForecastModel(object): base_tds_url = catalog_url.split('/thredds/')[0] data_format = 'netcdf' vert_level = 100000 - columns = np.array(['temperature', - 'wind_speed', - 'total_clouds', - 'low_clouds', - 'mid_clouds', - 'high_clouds', - 'dni', - 'dhi', - 'ghi', ]) + columns = ['temperature', + 'wind_speed', + 'total_clouds', + 'low_clouds', + 'mid_clouds', + 'high_clouds', + 'dni', + 'dhi', + 'ghi', ] def __init__(self, model_type, model_name, set_type): self.model_type = model_type @@ -138,10 +138,13 @@ def __init__(self, model_type, model_name, set_type): self.datasets_list = list(self.model.datasets.keys()) self.set_dataset() + def __repr__(self): + return '{}, {}'.format(self.model_name, self.set_type) + def set_dataset(self): ''' Retrieves the designated dataset, creates NCSS object, and - initiates a NCSS query. + creates a NCSS query object. ''' keys = list(self.model.datasets.keys()) @@ -216,6 +219,8 @@ def get_query_data(self, latitude, longitude, start, end, Returns ------- forecast_data : DataFrame + Contains columns: 'temperature', 'wind_speed', 'total_clouds', + 'low_clouds', 'mid_clouds', 'high_clouds', 'dni', 'dhi', 'ghi'. ''' if vert_level is not None: @@ -231,7 +236,7 @@ def get_query_data(self, latitude, longitude, start, end, self.latitude = latitude self.longitude = longitude - self.set_query_latlon() + self.set_query_latlon() # modifies self.query self.set_location(start) self.start = localize_to_utc(start, self.location) @@ -241,6 +246,7 @@ def get_query_data(self, latitude, longitude, start, end, self.query.vertical_level(self.vert_level) self.query.variables(*self.queryvariables) self.query.accept(self.data_format) + netcdf_data = self.ncss.get_data(self.query) try: @@ -255,6 +261,7 @@ def get_query_data(self, latitude, longitude, start, end, self.set_variable_units(netcdf_data) self.set_variable_stdnames(netcdf_data) + if self.__class__.__name__ == 'HRRR': self.calc_temperature(netcdf_data) self.convert_temperature() @@ -355,30 +362,30 @@ def calc_radiation(self, data, cloud_type='total_clouds'): Type of cloud cover to use for calculating radiation values. ''' self.rad_type = {} - if not self.lbox and cloud_type in self.modelvariables: - cloud_prct = self.data[cloud_type] - solpos = get_solarposition(self.time, self.location) - self.zenith = np.array(solpos.zenith.tz_convert('UTC')) + self.solar_position = get_solarposition(self.time, self.location) + + if self.model_name == 'HRRR_ESRL': + # HRRR_ESRL is the only model with the + # correct equation of time. for rad in ['dni', 'dhi', 'ghi']: - if self.model_name is 'HRRR_ESRL': - # HRRR_ESRL is the only model with the - # correct equation of time. - if rad in self.modelvariables: - self.data[rad] = pd.Series( - data[self.variables[rad]][:].squeeze(), - index=self.time) - self.rad_type[rad] = 'forecast' - self.data[rad].fillna(0, inplace=True) - else: - for rad in ['dni', 'dhi', 'ghi']: - self.rad_type[rad] = 'liujordan' - self.data[rad] = liujordan(self.zenith, - cloud_prct)[rad] - self.data[rad].fillna(0, inplace=True) - - for var in ['dni', 'dhi', 'ghi']: - self.data[var].fillna(0, inplace=True) - self.var_units[var] = '$W m^{-2}$' + self.data[rad] = pd.Series( + data[self.variables[rad]][:].squeeze(), + index=self.time) + self.rad_type[rad] = 'forecast' + self.data[rad].fillna(0, inplace=True) + else: + cloud_prct = self.data[cloud_type] + rads = ['dni', 'dhi', 'ghi'] + for rad in rads: + self.rad_type[rad] = 'liujordan' + new_rads = liujordan(self.solar_position['apparent_zenith'], + cloud_prct) + new_rads = new_rads.fillna(0) + self.data = self.data.drop(rads, axis=1) + self.data = pd.concat([self.data, new_rads], axis=1) + + for var in ['dni', 'dhi', 'ghi']: + self.var_units[var] = '$W m^{-2}$' def convert_temperature(self): ''' @@ -393,7 +400,8 @@ def convert_temperature(self): def calc_temperature(self, data): ''' - Calculates temperature (in degrees C) from isobaric temperature. + Calculates temperature (in degrees C) from + isobaric temperature. Parameters ---------- @@ -442,7 +450,8 @@ def calc_wind(self, data): class GFS(ForecastModel): ''' - Subclass of the ForecastModel class representing GFS forecast model. + Subclass of the ForecastModel class representing GFS + forecast model. Model data corresponds to 0.25 degree resolution forecasts. @@ -506,7 +515,8 @@ def __init__(self, res='half', set_type='best'): class HRRR_ESRL(ForecastModel): ''' Subclass of the ForecastModel class representing - NOAA/GSD/ESRL's HRRR forecast model. This is not an operational product. + NOAA/GSD/ESRL's HRRR forecast model. + This is not an operational product. Model data corresponds to NOAA/GSD/ESRL HRRR CONUS 3km resolution surface forecasts. @@ -562,7 +572,8 @@ def __init__(self, set_type='best'): class NAM(ForecastModel): ''' - Subclass of the ForecastModel class representing NAM forecast model. + Subclass of the ForecastModel class representing NAM + forecast model. Model data corresponds to NAM CONUS 12km resolution forecasts from CONDUIT. @@ -615,7 +626,8 @@ def __init__(self, set_type='best'): class HRRR(ForecastModel): ''' - Subclass of the ForecastModel class representing HRRR forecast model. + Subclass of the ForecastModel class representing HRRR + forecast model. Model data corresponds to NCEP HRRR CONUS 2.5km resolution forecasts. @@ -668,7 +680,8 @@ def __init__(self, set_type='best'): class NDFD(ForecastModel): ''' - Subclass of the ForecastModel class representing NDFD forecast model. + Subclass of the ForecastModel class representing NDFD forecast + model. Model data corresponds to NWS CONUS CONDUIT forecasts. diff --git a/pvlib/test/test_forecast.py b/pvlib/test/test_forecast.py index 2639eaaaef..2977b71953 100644 --- a/pvlib/test/test_forecast.py +++ b/pvlib/test/test_forecast.py @@ -65,10 +65,13 @@ def test_data_query(): @requires_siphon def test_dataframe_variables(): for amodel in _working_models: - for variable in _variables: - assert variable in amodel.data.columns - for variable in _nonnan_variables: - assert not amodel.data[variable].isnull().values.any() + yield run_variables, amodel + +def run_variables(amodel): + for variable in _variables: + assert variable in amodel.data.columns + for variable in _nonnan_variables: + assert not amodel.data[variable].isnull().values.any() @requires_siphon def test_vert_level(): @@ -85,6 +88,7 @@ def test_datetime(): data = amodel.get_query_data(_latitude, _longitude , start, end) @requires_siphon +@raises(KeyError) def test_queryvariables(): amodel = _working_models[0] old_variables = amodel.variables @@ -114,14 +118,14 @@ def test_temp_convert(): assert amodel.data['temperature'].values == 0.0 -@requires_siphon -def test_bounding_box(): - amodel = GFS() - latitude = [31.2,32.2] - longitude = [-111.9,-110.9] - new_variables = {'temperature':'Temperature_surface'} - data = amodel.get_query_data(latitude, longitude, _start, _end, - variables=new_variables) +# @requires_siphon +# def test_bounding_box(): +# amodel = GFS() +# latitude = [31.2,32.2] +# longitude = [-111.9,-110.9] +# new_variables = {'temperature':'Temperature_surface'} +# data = amodel.get_query_data(latitude, longitude, _start, _end, +# variables=new_variables) @requires_siphon def test_set_location(): From ba9ba441171dd2ba507790b100e15d322d6e3b7f Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Wed, 17 Feb 2016 20:55:23 -0700 Subject: [PATCH 69/88] do not import forecasting --- pvlib/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pvlib/__init__.py b/pvlib/__init__.py index aaa16ade82..a404cafc3c 100644 --- a/pvlib/__init__.py +++ b/pvlib/__init__.py @@ -4,7 +4,7 @@ from pvlib import tools from pvlib import atmosphere from pvlib import clearsky -from pvlib import forecast +# from pvlib import forecast from pvlib import irradiance from pvlib import location from pvlib import solarposition From 4dc913e36f00178add7999fe82a69ecbf2a54c70 Mon Sep 17 00:00:00 2001 From: Will Holmgren Date: Thu, 18 Feb 2016 14:47:38 -0700 Subject: [PATCH 70/88] add a few resolutions, update notebooks --- docs/sphinx/source/forecasts.rst | 14 +- docs/tutorials/forecast.ipynb | 3525 +++++++++++++++++++++++- docs/tutorials/forecast_to_power.ipynb | 424 +-- pvlib/forecast.py | 38 +- pvlib/test/test_forecast.py | 50 +- 5 files changed, 3617 insertions(+), 434 deletions(-) diff --git a/docs/sphinx/source/forecasts.rst b/docs/sphinx/source/forecasts.rst index 55a4cae4b2..bf0d8b64e5 100644 --- a/docs/sphinx/source/forecasts.rst +++ b/docs/sphinx/source/forecasts.rst @@ -20,7 +20,12 @@ to forecast data hosted on the Unidata `THREDDS catalog `_. This document demonstrates how to use pvlib-python to create a PV power -forecast using these tools. +forecast using these tools. The `forecast +`_ and `forecast_to_power +`_ Jupyter notebooks +provide additional example code. Accessing Forecast Data @@ -215,9 +220,10 @@ HRRR, among others, if you want forecasts for less than 24 hours. RAP --- The Rapid Refresh (RAP) model is the parent model for the HRRR. It is -updated every hour and runs at 13 km resolution. It is also excels in -severe weather situations. A major upgrade to the RAP model is expected -in Spring, 2016. See the `NOAA ESRL HRRR page +updated every hour and runs at 40, 20, and 13 km resolutions. Only the +20 and 40 km resolutions are currently available in pvlib. It is also +excels in severe weather situations. A major upgrade to the RAP model is +expected in Spring, 2016. See the `NOAA ESRL HRRR page `_ for more information. Use the RAP, among others, if you want forecasts for less than 24 hours. diff --git a/docs/tutorials/forecast.ipynb b/docs/tutorials/forecast.ipynb index 0f99fe8838..230a6b5bf3 100644 --- a/docs/tutorials/forecast.ipynb +++ b/docs/tutorials/forecast.ipynb @@ -42,16 +42,7 @@ "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\DareRock\\Anaconda3\\envs\\pvlibdev\\lib\\site-packages\\matplotlib\\__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n", - " warnings.warn(self.msg_depr % (key, alt_key))\n" - ] - } - ], + "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", @@ -62,7 +53,7 @@ " print('We suggest you install seaborn using conda or pip and rerun this cell')\n", "\n", "# built in python modules\n", - "from datetime import datetime, timedelta\n", + "import datetime\n", "import os\n", "\n", "# python add-ons\n", @@ -78,7 +69,7 @@ "from siphon.catalog import TDSCatalog\n", "from siphon.ncss import NCSS\n", "\n", - "from pvlib.forecast import GFS,HRRR_ESRL,NAM,NDFD,HRRR,RAP" + "from pvlib.forecast import GFS, HRRR_ESRL, NAM, NDFD, HRRR, RAP" ] }, { @@ -95,16 +86,15 @@ "longitude = -110.9 \n", "tz = 'US/Arizona'\n", "\n", - "start = datetime.now() # today's date\n", - "end = start + timedelta(days=7) # 7 days from today\n", - "timerange = pd.date_range(start, end, tz=tz)" + "start = pd.Timestamp(datetime.date.today(), tz=tz) # today's date\n", + "end = start + pd.Timedelta(days=7) # 7 days from today" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Instantiate GFS forecast model " + "## GFS (0.5 deg)" ] }, { @@ -128,7 +118,7 @@ "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude , timerange)" + "data = fm.get_query_data(latitude, longitude, start, end)" ] }, { @@ -141,7 +131,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 5, @@ -150,9 +140,9 @@ }, { "data": { - "image/png": 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l2zKTZCbf8knLSvJmQJZoKFPrxHE1fZ0eFEVJs/eIula8efNmDAwMQJIkiKKI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\nZLE5iQo3aO4JJMCMqmySYsP5dGsjJxR8KNZ66sYlzKjK9OZbXT0xFwn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5kmhow6vvVrrMV6zpOOVzZpMJ3RE3ToynpaRGQhnEQuCSOjcnEZJnaEcqW8Rre0YQ9jmw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U6XAm4U1yk+L1DGS4IiIiIhKHKsobSAOKijJ79Th7+4BX/8HEaHy+mw+3V7G3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\nv43RaGTq1Kns27cPf39/d5OFA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EhlyHwJNr0DovzVuLYnVywbVZTYUFWkuuwYlpmsa//vkD1DgxJlu45ZbRPm0/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HWbhwIZs3b+buu+/mmmuuYdGiRdi2zQsvvJCVe7sVabV2iAQnmkqku+aeAoBT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\ndvSI8UXNuX4t9qNHyv25HhePp3cfPH0HoNevj3PTRpzr1+DIOIBr5XJ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DXQ5GkinpiXSfPn0Ih8PYtk11dTVer5cFCxYwePBgAIYNG8a8eZkzBzhZjApV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\nI6vDEZEG4PUdynJEx4SL2EHM8hN+86uTgyUIVEgHSXTtWIe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IzMxk3759bNmyRc+DADjd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\nAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -263,7 +253,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Instantiate GFS forecast model " + "## GFS (0.25 deg)" ] }, { @@ -275,7 +265,7 @@ "outputs": [], "source": [ "# GFS model at 0.25 degree resolution\n", - "fm = GFS(res='quarter')" + "fm = GFS(resolution='quarter')" ] }, { @@ -287,7 +277,7 @@ "outputs": [], "source": [ "# retrieve data\n", - "data = fm.get_query_data(latitude, longitude , timerange)" + "data = fm.get_query_data(latitude, longitude, start, end)" ] }, { @@ -300,7 +290,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 12, @@ -309,9 +299,9 @@ }, { "data": { - "image/png": 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TAMjNzeWCCy7g+uuvZ+XKldTU1IRnYuTBRIyjDkdjM/aoiGCHIyIiIiLSKzpb2fGHr7/+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ObnpTBqEWzb5gvfuMorr0xxHAUPCuGonx/68aOM7u4BqAy2evr66R2K8NP/4mGe/to1rl6c48mv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\nFZndvQAAAABJRU5ErkJggg==\n", 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nszEYte0/Crqus/9wDTX1Tn+X0mZoDmOEJy0t+ryOEx8TBoAquUgIIXyqusaO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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -327,18 +317,906 @@ "plt.legend(bbox_to_anchor=(1.18,1.0))" ] }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "

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