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TEST: make specs
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‎nipype/interfaces/cat12/tests/test_auto_CAT12Segment.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from ..preprocess import CAT12Segment
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def test_CAT12Segment_inputs():
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input_map = dict(
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affine_preprocessing=dict(
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field="extopts.APP",
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usedefault=True,
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),
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affine_regularization=dict(
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field="opts.affreg",
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usedefault=True,
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),
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cobra=dict(
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field="output.ROImenu.atlases.hammers",
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usedefault=True,
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),
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csf_output_dartel=dict(
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field="output.CSF.dartel",
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usedefault=True,
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),
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csf_output_modulated=dict(
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field="output.CSF.mod",
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usedefault=True,
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),
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csf_output_native=dict(
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field="output.CSF.native",
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usedefault=True,
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),
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gm_output_dartel=dict(
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field="output.GM.dartel",
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usedefault=True,
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),
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gm_output_modulated=dict(
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field="output.GM.mod",
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usedefault=True,
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),
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gm_output_native=dict(
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field="output.GM.native",
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usedefault=True,
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),
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hammers=dict(
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field="output.ROImenu.atlases.cobra",
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usedefault=True,
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),
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ignore_errors=dict(
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field="extopts.ignoreErrors",
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usedefault=True,
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),
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in_files=dict(
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copyfile=False,
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field="data",
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mandatory=True,
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),
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initial_segmentation=dict(
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field="extopts.spm_kamap",
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usedefault=True,
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),
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internal_resampling_process=dict(
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field="extopts.restypes.optimal",
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maxlen=2,
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minlen=2,
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usedefault=True,
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),
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jacobianwarped=dict(
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field="output.jacobianwarped",
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usedefault=True,
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),
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label_dartel=dict(
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field="output.label.dartel",
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usedefault=True,
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),
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label_native=dict(
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field="output.label.native",
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usedefault=True,
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),
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label_warped=dict(
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field="output.label.warped",
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usedefault=True,
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),
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las_dartel=dict(
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field="output.las.dartel",
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usedefault=True,
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),
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las_native=dict(
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field="output.las.native",
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usedefault=True,
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),
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las_warped=dict(
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field="output.las.warped",
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usedefault=True,
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),
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local_adaptive_seg=dict(
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field="extopts.LASstr",
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usedefault=True,
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),
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lpba40=dict(
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field="output.ROImenu.atlases.lpba40",
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usedefault=True,
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),
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matlab_cmd=dict(),
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mfile=dict(
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usedefault=True,
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),
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n_jobs=dict(
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field="nproc",
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mandatory=True,
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usedefault=True,
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),
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neuromorphometrics=dict(
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field="output.ROImenu.atlases.neuromorphometrics",
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usedefault=True,
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),
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output_labelnative=dict(
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field="output.labelnative",
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usedefault=True,
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),
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own_atlas=dict(
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copyfile=False,
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field="output.ROImenu.atlases.ownatlas",
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mandatory=False,
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),
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paths=dict(),
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power_spm_inhomogeneity_correction=dict(
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field="opts.biasacc",
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usedefault=True,
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),
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save_bias_corrected=dict(
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field="output.bias.warped",
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usedefault=True,
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),
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skull_strip=dict(
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field="extopts.gcutstr",
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usedefault=True,
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),
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surface_and_thickness_estimation=dict(
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field="surface",
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usedefault=True,
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),
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surface_measures=dict(
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field="output.surf_measures",
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usedefault=True,
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),
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tpm=dict(
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copyfile=False,
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field="tpm",
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mandatory=False,
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),
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use_mcr=dict(),
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use_v8struct=dict(
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min_ver="8",
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usedefault=True,
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),
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voxel_size=dict(
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field="extopts.vox",
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usedefault=True,
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),
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warps=dict(
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field="output.warps",
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maxlen=2,
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minlen=2,
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usedefault=True,
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),
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wm_hyper_intensity_correction=dict(
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field="extopts.WMHC",
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usedefault=True,
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),
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wm_output_dartel=dict(
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field="output.WM.dartel",
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usedefault=True,
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),
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wm_output_modulated=dict(
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field="output.WM.mod",
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usedefault=True,
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),
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wm_output_native=dict(
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field="output.WM.native",
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usedefault=True,
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),
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)
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inputs = CAT12Segment.input_spec()
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for key, metadata in list(input_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(inputs.traits()[key], metakey) == value
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def test_CAT12Segment_outputs():
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output_map = dict(
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bias_corrected_image=dict(
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extensions=None,
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),
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csf_dartel_image=dict(
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extensions=None,
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),
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csf_modulated_image=dict(
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extensions=None,
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),
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csf_native_image=dict(
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extensions=None,
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),
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gm_dartel_image=dict(
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extensions=None,
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),
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gm_modulated_image=dict(
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extensions=None,
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),
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gm_native_image=dict(
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extensions=None,
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),
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label_files=dict(),
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label_roi=dict(
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extensions=None,
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),
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label_rois=dict(
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extensions=None,
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),
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lh_central_surface=dict(
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extensions=None,
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),
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lh_sphere_surface=dict(
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extensions=None,
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),
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mri_images=dict(),
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report=dict(
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extensions=None,
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),
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report_files=dict(),
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rh_central_surface=dict(
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extensions=None,
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),
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rh_sphere_surface=dict(
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extensions=None,
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),
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surface_files=dict(),
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wm_dartel_image=dict(
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extensions=None,
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),
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wm_modulated_image=dict(
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extensions=None,
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),
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wm_native_image=dict(
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extensions=None,
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),
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)
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outputs = CAT12Segment.output_spec()
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for key, metadata in list(output_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(outputs.traits()[key], metakey) == value

‎nipype/interfaces/cat12/tests/test_auto_ExtractAdditionalSurfaceParameters.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from ..surface import ExtractAdditionalSurfaceParameters
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def test_ExtractAdditionalSurfaceParameters_inputs():
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input_map = dict(
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area=dict(
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field="area",
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usedefault=True,
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),
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depth=dict(
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field="SD",
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usedefault=True,
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),
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fractal_dimension=dict(
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field="FD",
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usedefault=True,
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),
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gmv=dict(
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field="gmv",
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usedefault=True,
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),
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gyrification=dict(
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field="GI",
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usedefault=True,
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),
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left_central_surfaces=dict(
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copyfile=False,
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field="data_surf",
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mandatory=True,
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),
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matlab_cmd=dict(),
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mfile=dict(
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usedefault=True,
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),
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paths=dict(),
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surface_files=dict(
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copyfile=False,
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mandatory=False,
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),
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use_mcr=dict(),
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use_v8struct=dict(
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min_ver="8",
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usedefault=True,
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),
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)
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inputs = ExtractAdditionalSurfaceParameters.input_spec()
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for key, metadata in list(input_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(inputs.traits()[key], metakey) == value
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def test_ExtractAdditionalSurfaceParameters_outputs():
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output_map = dict(
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lh_area=dict(),
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lh_depth=dict(),
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lh_extracted_files=dict(),
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lh_fractaldimension=dict(),
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lh_gmv=dict(),
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lh_gyrification=dict(),
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rh_area=dict(),
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rh_depth=dict(),
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rh_extracted_files=dict(),
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rh_fractaldimension=dict(),
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rh_gmv=dict(),
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rh_gyrification=dict(),
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)
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outputs = ExtractAdditionalSurfaceParameters.output_spec()
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for key, metadata in list(output_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(outputs.traits()[key], metakey) == value

‎nipype/interfaces/cat12/tests/test_auto_ExtractROIBasedSurfaceMeasures.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from ..surface import ExtractROIBasedSurfaceMeasures
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def test_ExtractROIBasedSurfaceMeasures_inputs():
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input_map = dict(
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lh_roi_atlas=dict(
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copyfile=False,
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field="rdata",
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mandatory=True,
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),
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lh_surface_measure=dict(
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copyfile=False,
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field="cdata",
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mandatory=True,
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),
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matlab_cmd=dict(),
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mfile=dict(
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usedefault=True,
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),
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paths=dict(),
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rh_roi_atlas=dict(
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copyfile=False,
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mandatory=False,
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),
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rh_surface_measure=dict(
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copyfile=False,
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mandatory=False,
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),
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surface_files=dict(
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copyfile=False,
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mandatory=False,
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),
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use_mcr=dict(),
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use_v8struct=dict(
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min_ver="8",
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usedefault=True,
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),
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)
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inputs = ExtractROIBasedSurfaceMeasures.input_spec()
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for key, metadata in list(input_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(inputs.traits()[key], metakey) == value
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def test_ExtractROIBasedSurfaceMeasures_outputs():
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output_map = dict(
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label_files=dict(),
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)
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outputs = ExtractROIBasedSurfaceMeasures.output_spec()
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for key, metadata in list(output_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(outputs.traits()[key], metakey) == value

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