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tst: added semtools tests
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‎nipype/interfaces/semtools/brains/tests/test_auto_BRAINSPosteriorToContinuousClass.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.semtools.brains.classify import BRAINSPosteriorToContinuousClass
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def test_BRAINSPosteriorToContinuousClass_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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inputBasalGmVolume=dict(argstr='--inputBasalGmVolume %s',
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),
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inputCrblGmVolume=dict(argstr='--inputCrblGmVolume %s',
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),
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inputCrblWmVolume=dict(argstr='--inputCrblWmVolume %s',
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),
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inputCsfVolume=dict(argstr='--inputCsfVolume %s',
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),
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inputSurfaceGmVolume=dict(argstr='--inputSurfaceGmVolume %s',
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),
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inputVbVolume=dict(argstr='--inputVbVolume %s',
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),
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inputWhiteVolume=dict(argstr='--inputWhiteVolume %s',
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),
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outputVolume=dict(argstr='--outputVolume %s',
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hash_files=False,
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),
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terminal_output=dict(nohash=True,
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),
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)
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inputs = BRAINSPosteriorToContinuousClass.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_BRAINSPosteriorToContinuousClass_outputs():
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output_map = dict(outputVolume=dict(),
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)
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outputs = BRAINSPosteriorToContinuousClass.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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‎nipype/interfaces/semtools/brains/tests/test_auto_BRAINSTalairach.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.semtools.brains.segmentation import BRAINSTalairach
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def test_BRAINSTalairach_inputs():
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input_map = dict(AC=dict(argstr='--AC %s',
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sep=',',
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),
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ACisIndex=dict(argstr='--ACisIndex ',
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),
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IRP=dict(argstr='--IRP %s',
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sep=',',
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),
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IRPisIndex=dict(argstr='--IRPisIndex ',
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),
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PC=dict(argstr='--PC %s',
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sep=',',
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),
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PCisIndex=dict(argstr='--PCisIndex ',
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),
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SLA=dict(argstr='--SLA %s',
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sep=',',
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),
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SLAisIndex=dict(argstr='--SLAisIndex ',
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),
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args=dict(argstr='%s',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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inputVolume=dict(argstr='--inputVolume %s',
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),
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outputBox=dict(argstr='--outputBox %s',
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hash_files=False,
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),
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outputGrid=dict(argstr='--outputGrid %s',
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hash_files=False,
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),
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terminal_output=dict(nohash=True,
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),
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)
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inputs = BRAINSTalairach.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_BRAINSTalairach_outputs():
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output_map = dict(outputBox=dict(),
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outputGrid=dict(),
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)
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outputs = BRAINSTalairach.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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‎nipype/interfaces/semtools/brains/tests/test_auto_BRAINSTalairachMask.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.semtools.brains.segmentation import BRAINSTalairachMask
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def test_BRAINSTalairachMask_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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expand=dict(argstr='--expand ',
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),
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hemisphereMode=dict(argstr='--hemisphereMode %s',
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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inputVolume=dict(argstr='--inputVolume %s',
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),
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outputVolume=dict(argstr='--outputVolume %s',
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hash_files=False,
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),
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talairachBox=dict(argstr='--talairachBox %s',
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),
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talairachParameters=dict(argstr='--talairachParameters %s',
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),
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terminal_output=dict(nohash=True,
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),
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)
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inputs = BRAINSTalairachMask.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_BRAINSTalairachMask_outputs():
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output_map = dict(outputVolume=dict(),
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)
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outputs = BRAINSTalairachMask.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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‎nipype/interfaces/semtools/brains/tests/test_auto_HistogramMatchingFilter.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.semtools.brains.utilities import HistogramMatchingFilter
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def test_HistogramMatchingFilter_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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histogramAlgorithm=dict(argstr='--histogramAlgorithm %s',
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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inputBinaryVolume=dict(argstr='--inputBinaryVolume %s',
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),
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inputVolume=dict(argstr='--inputVolume %s',
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),
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numberOfHistogramBins=dict(argstr='--numberOfHistogramBins %d',
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),
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numberOfMatchPoints=dict(argstr='--numberOfMatchPoints %d',
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),
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outputVolume=dict(argstr='--outputVolume %s',
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hash_files=False,
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),
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referenceBinaryVolume=dict(argstr='--referenceBinaryVolume %s',
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),
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referenceVolume=dict(argstr='--referenceVolume %s',
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),
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terminal_output=dict(nohash=True,
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),
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verbose=dict(argstr='--verbose ',
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),
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writeHistogram=dict(argstr='--writeHistogram %s',
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),
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)
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inputs = HistogramMatchingFilter.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_HistogramMatchingFilter_outputs():
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output_map = dict(outputVolume=dict(),
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)
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outputs = HistogramMatchingFilter.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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‎nipype/interfaces/semtools/brains/tests/test_auto_SimilarityIndex.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.semtools.brains.segmentation import SimilarityIndex
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def test_SimilarityIndex_inputs():
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input_map = dict(ANNContinuousVolume=dict(argstr='--ANNContinuousVolume %s',
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),
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args=dict(argstr='%s',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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inputManualVolume=dict(argstr='--inputManualVolume %s',
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),
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outputCSVFilename=dict(argstr='--outputCSVFilename %s',
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),
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terminal_output=dict(nohash=True,
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),
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thresholdInterval=dict(argstr='--thresholdInterval %f',
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),
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)
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inputs = SimilarityIndex.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_SimilarityIndex_outputs():
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output_map = dict()
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outputs = SimilarityIndex.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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‎nipype/interfaces/semtools/diffusion/tests/test_auto_DWIConvert.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.semtools.diffusion.diffusion import DWIConvert
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def test_DWIConvert_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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conversionMode=dict(argstr='--conversionMode %s',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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fMRI=dict(argstr='--fMRI ',
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),
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fslNIFTIFile=dict(argstr='--fslNIFTIFile %s',
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),
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gradientVectorFile=dict(argstr='--gradientVectorFile %s',
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hash_files=False,
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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inputBValues=dict(argstr='--inputBValues %s',
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),
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inputBVectors=dict(argstr='--inputBVectors %s',
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),
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inputDicomDirectory=dict(argstr='--inputDicomDirectory %s',
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),
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inputVolume=dict(argstr='--inputVolume %s',
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),
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outputBValues=dict(argstr='--outputBValues %s',
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hash_files=False,
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),
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outputBVectors=dict(argstr='--outputBVectors %s',
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hash_files=False,
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),
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outputDirectory=dict(argstr='--outputDirectory %s',
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hash_files=False,
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),
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outputVolume=dict(argstr='--outputVolume %s',
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hash_files=False,
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),
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smallGradientThreshold=dict(argstr='--smallGradientThreshold %f',
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),
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terminal_output=dict(nohash=True,
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),
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useBMatrixGradientDirections=dict(argstr='--useBMatrixGradientDirections ',
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),
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useIdentityMeaseurementFrame=dict(argstr='--useIdentityMeaseurementFrame ',
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),
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writeProtocolGradientsFile=dict(argstr='--writeProtocolGradientsFile ',
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),
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)
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inputs = DWIConvert.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_DWIConvert_outputs():
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output_map = dict(gradientVectorFile=dict(),
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outputBValues=dict(),
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outputBVectors=dict(),
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outputDirectory=dict(),
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outputVolume=dict(),
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)
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outputs = DWIConvert.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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‎nipype/interfaces/semtools/diffusion/tests/test_auto_compareTractInclusion.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.semtools.diffusion.gtract import compareTractInclusion
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def test_compareTractInclusion_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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closeness=dict(argstr='--closeness %f',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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numberOfPoints=dict(argstr='--numberOfPoints %d',
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),
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numberOfThreads=dict(argstr='--numberOfThreads %d',
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),
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standardFiber=dict(argstr='--standardFiber %s',
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),
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terminal_output=dict(nohash=True,
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),
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testFiber=dict(argstr='--testFiber %s',
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),
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testForBijection=dict(argstr='--testForBijection ',
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),
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testForFiberCardinality=dict(argstr='--testForFiberCardinality ',
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),
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writeXMLPolyDataFile=dict(argstr='--writeXMLPolyDataFile ',
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),
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)
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inputs = compareTractInclusion.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_compareTractInclusion_outputs():
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output_map = dict()
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outputs = compareTractInclusion.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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