def test_ResampleScalarVectorDWIVolume_outputs(): output_map = dict(outputVolume=dict(position=-1, ), ) outputs = ResampleScalarVectorDWIVolume.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_ResampleScalarVectorDWIVolume_inputs(): input_map = dict( Inverse_ITK_Transformation=dict( argstr='--Inverse_ITK_Transformation ', ), Reference=dict(argstr='--Reference %s', ), args=dict(argstr='%s', ), centered_transform=dict(argstr='--centered_transform ', ), defField=dict(argstr='--defField %s', ), default_pixel_value=dict(argstr='--default_pixel_value %f', ), direction_matrix=dict( argstr='--direction_matrix %s', sep=',', ), environ=dict( nohash=True, usedefault=True, ), hfieldtype=dict(argstr='--hfieldtype %s', ), ignore_exception=dict( nohash=True, usedefault=True, ), image_center=dict(argstr='--image_center %s', ), inputVolume=dict( argstr='%s', position=-2, ), interpolation=dict(argstr='--interpolation %s', ), notbulk=dict(argstr='--notbulk ', ), number_of_thread=dict(argstr='--number_of_thread %d', ), origin=dict(argstr='--origin %s', ), outputVolume=dict( argstr='%s', hash_files=False, position=-1, ), rotation_point=dict(argstr='--rotation_point %s', ), size=dict( argstr='--size %s', sep=',', ), spaceChange=dict(argstr='--spaceChange ', ), spacing=dict( argstr='--spacing %s', sep=',', ), spline_order=dict(argstr='--spline_order %d', ), terminal_output=dict( mandatory=True, nohash=True, ), transform=dict(argstr='--transform %s', ), transform_matrix=dict( argstr='--transform_matrix %s', sep=',', ), transform_order=dict(argstr='--transform_order %s', ), transformationFile=dict(argstr='--transformationFile %s', ), window_function=dict(argstr='--window_function %s', ), ) inputs = ResampleScalarVectorDWIVolume.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_ResampleScalarVectorDWIVolume_inputs(): input_map = dict(Inverse_ITK_Transformation=dict(argstr='--Inverse_ITK_Transformation ', ), Reference=dict(argstr='--Reference %s', ), args=dict(argstr='%s', ), centered_transform=dict(argstr='--centered_transform ', ), defField=dict(argstr='--defField %s', ), default_pixel_value=dict(argstr='--default_pixel_value %f', ), direction_matrix=dict(argstr='--direction_matrix %s', sep=',', ), environ=dict(nohash=True, usedefault=True, ), hfieldtype=dict(argstr='--hfieldtype %s', ), ignore_exception=dict(nohash=True, usedefault=True, ), image_center=dict(argstr='--image_center %s', ), inputVolume=dict(argstr='%s', position=-2, ), interpolation=dict(argstr='--interpolation %s', ), notbulk=dict(argstr='--notbulk ', ), number_of_thread=dict(argstr='--number_of_thread %d', ), origin=dict(argstr='--origin %s', ), outputVolume=dict(argstr='%s', hash_files=False, position=-1, ), rotation_point=dict(argstr='--rotation_point %s', ), size=dict(argstr='--size %s', sep=',', ), spaceChange=dict(argstr='--spaceChange ', ), spacing=dict(argstr='--spacing %s', sep=',', ), spline_order=dict(argstr='--spline_order %d', ), terminal_output=dict(mandatory=True, nohash=True, ), transform=dict(argstr='--transform %s', ), transform_matrix=dict(argstr='--transform_matrix %s', sep=',', ), transform_order=dict(argstr='--transform_order %s', ), transformationFile=dict(argstr='--transformationFile %s', ), window_function=dict(argstr='--window_function %s', ), ) inputs = ResampleScalarVectorDWIVolume.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value