def test_BRAINSLmkTransform_inputs(): input_map = dict( args=dict(argstr='%s', ), environ=dict( nohash=True, usedefault=True, ), ignore_exception=dict( nohash=True, usedefault=True, ), inputFixedLandmarks=dict(argstr='--inputFixedLandmarks %s', ), inputMovingLandmarks=dict(argstr='--inputMovingLandmarks %s', ), inputMovingVolume=dict(argstr='--inputMovingVolume %s', ), inputReferenceVolume=dict(argstr='--inputReferenceVolume %s', ), numberOfThreads=dict(argstr='--numberOfThreads %d', ), outputAffineTransform=dict( argstr='--outputAffineTransform %s', hash_files=False, ), outputResampledVolume=dict( argstr='--outputResampledVolume %s', hash_files=False, ), terminal_output=dict(nohash=True, ), ) inputs = BRAINSLmkTransform.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_BRAINSLmkTransform_outputs(): output_map = dict(outputAffineTransform=dict(), outputResampledVolume=dict()) outputs = BRAINSLmkTransform.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_BRAINSLmkTransform_outputs(): output_map = dict( outputAffineTransform=dict(), outputResampledVolume=dict(), ) outputs = BRAINSLmkTransform.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_BRAINSLmkTransform_inputs(): input_map = dict( args=dict(argstr="%s"), environ=dict(nohash=True, usedefault=True), ignore_exception=dict(nohash=True, usedefault=True), inputFixedLandmarks=dict(argstr="--inputFixedLandmarks %s"), inputMovingLandmarks=dict(argstr="--inputMovingLandmarks %s"), inputMovingVolume=dict(argstr="--inputMovingVolume %s"), inputReferenceVolume=dict(argstr="--inputReferenceVolume %s"), numberOfThreads=dict(argstr="--numberOfThreads %d"), outputAffineTransform=dict(argstr="--outputAffineTransform %s", hash_files=False), outputResampledVolume=dict(argstr="--outputResampledVolume %s", hash_files=False), terminal_output=dict(nohash=True), ) inputs = BRAINSLmkTransform.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value