def test_GenerateLabelMapFromProbabilityMap_outputs(): output_map = dict(outputLabelVolume=dict(), ) outputs = GenerateLabelMapFromProbabilityMap.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_GenerateLabelMapFromProbabilityMap_inputs(): input_map = dict(args=dict(argstr='%s', ), environ=dict(nohash=True, usedefault=True, ), ignore_exception=dict(nohash=True, usedefault=True, ), inputVolumes=dict(argstr='--inputVolumes %s...', ), numberOfThreads=dict(argstr='--numberOfThreads %d', ), outputLabelVolume=dict(argstr='--outputLabelVolume %s', hash_files=False, ), terminal_output=dict(nohash=True, ), ) inputs = GenerateLabelMapFromProbabilityMap.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_GenerateLabelMapFromProbabilityMap_inputs(): input_map = dict( args=dict(argstr='%s', ), environ=dict( nohash=True, usedefault=True, ), ignore_exception=dict( nohash=True, usedefault=True, ), inputVolumes=dict(argstr='--inputVolumes %s...', ), numberOfThreads=dict(argstr='--numberOfThreads %d', ), outputLabelVolume=dict( argstr='--outputLabelVolume %s', hash_files=False, ), terminal_output=dict(nohash=True, ), ) inputs = GenerateLabelMapFromProbabilityMap.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value