def test_JacobianDeterminant_outputs(): output_map = dict(jacobian_image=dict(), ) outputs = JacobianDeterminant.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_JacobianDeterminant_inputs(): input_map = dict( args=dict(argstr='%s', ), dimension=dict( argstr='%d', mandatory=True, position=0, usedefault=False, ), environ=dict( nohash=True, usedefault=True, ), ignore_exception=dict( nohash=True, usedefault=True, ), norm_by_total=dict( argstr='%d', position=5, ), num_threads=dict( nohash=True, usedefault=True, ), output_prefix=dict( argstr='%s', genfile=True, hash_files=False, position=2, ), projection_vector=dict( argstr='%s', position=6, sep='x', ), template_mask=dict( argstr='%s', position=4, ), terminal_output=dict( mandatory=True, nohash=True, ), use_log=dict( argstr='%d', position=3, ), warp_file=dict( argstr='%s', mandatory=True, position=1, ), ) inputs = JacobianDeterminant.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_JacobianDeterminant_outputs(): output_map = dict(jacobian_image=dict(), ) outputs = JacobianDeterminant.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_JacobianDeterminant_inputs(): input_map = dict(ignore_exception=dict(nohash=True, usedefault=True, ), num_threads=dict(nohash=True, usedefault=True, ), output_prefix=dict(hash_files=False, genfile=True, position=2, argstr='%s', ), args=dict(argstr='%s', ), terminal_output=dict(mandatory=True, nohash=True, ), environ=dict(nohash=True, usedefault=True, ), use_log=dict(position=3, argstr='%d', ), warp_file=dict(position=1, mandatory=True, argstr='%s', ), template_mask=dict(position=4, argstr='%s', ), norm_by_total=dict(position=5, argstr='%d', ), dimension=dict(mandatory=True, usedefault=False, position=0, argstr='%d', ), projection_vector=dict(argstr='%s', sep='x', position=6, ), ) inputs = JacobianDeterminant.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value