def test_BRAINSMultiSTAPLE_inputs(): input_map = dict( args=dict(argstr='%s', ), environ=dict( nohash=True, usedefault=True, ), ignore_exception=dict( nohash=True, usedefault=True, ), inputCompositeT1Volume=dict(argstr='--inputCompositeT1Volume %s', ), inputLabelVolume=dict(argstr='--inputLabelVolume %s...', ), inputTransform=dict(argstr='--inputTransform %s...', ), labelForUndecidedPixels=dict(argstr='--labelForUndecidedPixels %d', ), outputConfusionMatrix=dict( argstr='--outputConfusionMatrix %s', hash_files=False, ), outputMultiSTAPLE=dict( argstr='--outputMultiSTAPLE %s', hash_files=False, ), resampledVolumePrefix=dict(argstr='--resampledVolumePrefix %s', ), skipResampling=dict(argstr='--skipResampling ', ), terminal_output=dict(nohash=True, ), ) inputs = BRAINSMultiSTAPLE.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_BRAINSMultiSTAPLE_inputs(): input_map = dict(args=dict(argstr='%s', ), environ=dict(nohash=True, usedefault=True, ), ignore_exception=dict(nohash=True, usedefault=True, ), inputCompositeT1Volume=dict(argstr='--inputCompositeT1Volume %s', ), inputLabelVolume=dict(argstr='--inputLabelVolume %s...', ), inputTransform=dict(argstr='--inputTransform %s...', ), labelForUndecidedPixels=dict(argstr='--labelForUndecidedPixels %d', ), outputConfusionMatrix=dict(argstr='--outputConfusionMatrix %s', hash_files=False, ), outputMultiSTAPLE=dict(argstr='--outputMultiSTAPLE %s', hash_files=False, ), resampledVolumePrefix=dict(argstr='--resampledVolumePrefix %s', ), skipResampling=dict(argstr='--skipResampling ', ), terminal_output=dict(nohash=True, ), ) inputs = BRAINSMultiSTAPLE.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_BRAINSMultiSTAPLE_outputs(): output_map = dict(outputConfusionMatrix=dict(), outputMultiSTAPLE=dict(), ) outputs = BRAINSMultiSTAPLE.output_spec() for key, metadata in output_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_BRAINSMultiSTAPLE_outputs(): output_map = dict( outputConfusionMatrix=dict(), outputMultiSTAPLE=dict(), ) outputs = BRAINSMultiSTAPLE.output_spec() for key, metadata in output_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(outputs.traits()[key], metakey), value