def test_MRConvert_outputs(): output_map = dict(converted=dict(), ) outputs = MRConvert.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_MRConvert_inputs(): input_map = dict(out_filename=dict(position=-1, genfile=True, argstr='%s', ), ignore_exception=dict(nohash=True, usedefault=True, ), layout=dict(position=2, argstr='-output %s', ), extension=dict(position=2, usedefault=True, ), extract_at_coordinate=dict(argstr='%s', sep=',', position=2, ), offset_bias=dict(units='mm', position=3, argstr='-scale %d', ), resample=dict(units='mm', position=3, argstr='-scale %d', ), args=dict(argstr='%s', ), terminal_output=dict(mandatory=True, nohash=True, ), environ=dict(nohash=True, usedefault=True, ), in_file=dict(position=-2, mandatory=True, argstr='%s', ), prs=dict(position=3, argstr='-prs', ), extract_at_axis=dict(position=1, argstr='-coord %s', ), replace_NaN_with_zero=dict(position=3, argstr='-zero', ), voxel_dims=dict(argstr='-vox %s', sep=',', position=3, ), output_datatype=dict(position=2, argstr='-output %s', ), ) inputs = MRConvert.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_MRConvert_inputs(): input_map = dict(args=dict(argstr='%s', ), environ=dict(nohash=True, usedefault=True, ), extension=dict(position=2, usedefault=True, ), extract_at_axis=dict(argstr='-coord %s', position=1, ), extract_at_coordinate=dict(argstr='%s', position=2, sep=',', ), ignore_exception=dict(nohash=True, usedefault=True, ), in_file=dict(argstr='%s', mandatory=True, position=-2, ), layout=dict(argstr='-output %s', position=2, ), offset_bias=dict(argstr='-scale %d', position=3, units='mm', ), out_filename=dict(argstr='%s', genfile=True, position=-1, ), output_datatype=dict(argstr='-output %s', position=2, ), prs=dict(argstr='-prs', position=3, ), replace_NaN_with_zero=dict(argstr='-zero', position=3, ), resample=dict(argstr='-scale %d', position=3, units='mm', ), terminal_output=dict(mandatory=True, nohash=True, ), voxel_dims=dict(argstr='-vox %s', position=3, sep=',', ), ) inputs = MRConvert.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value