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DOC: update bottleneck repo url (#3507)
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doc/computation.rst

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Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects.
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.. _bottleneck: https://github.com/kwgoodman/bottleneck/
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.. _bottleneck: https://github.com/pydata/bottleneck/
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We can also manually iterate through ``Rolling`` objects:
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doc/dask.rst

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function that already releases the global interpreter lock, which fortunately
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already includes most NumPy and Scipy functions. Here we show an example
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using NumPy operations and a fast function from
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`bottleneck <https://github.com/kwgoodman/bottleneck>`__, which
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`bottleneck <https://github.com/pydata/bottleneck>`__, which
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we use to calculate `Spearman's rank-correlation coefficient <https://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefficient>`__:
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.. code-block:: python

doc/installing.rst

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- `scipy <http://scipy.org/>`__: necessary to enable the interpolation features for
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xarray objects
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- `bottleneck <https://github.com/kwgoodman/bottleneck>`__: speeds up
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- `bottleneck <https://github.com/pydata/bottleneck>`__: speeds up
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NaN-skipping and rolling window aggregations by a large factor
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- `numbagg <https://github.com/shoyer/numbagg>`_: for exponential rolling
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window operations

doc/whats-new.rst

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warnings: methods and attributes that were deprecated in xray v0.3 or earlier
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(e.g., ``dimensions``, ``attributes```) have gone away.
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.. _bottleneck: https://github.com/kwgoodman/bottleneck
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.. _bottleneck: https://github.com/pydata/bottleneck
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Enhancements
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~~~~~~~~~~~~

setup.cfg

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[tool:pytest]
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python_files=test_*.py
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testpaths=xarray/tests properties
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# Fixed upstream in https://github.com/kwgoodman/bottleneck/pull/199
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# Fixed upstream in https://github.com/pydata/bottleneck/pull/199
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filterwarnings =
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ignore:Using a non-tuple sequence for multidimensional indexing is deprecated:FutureWarning
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env =

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