def test_FindCenterOfBrain_inputs(): input_map = dict(args=dict(argstr='%s', ), axis=dict(argstr='--axis %d', ), backgroundValue=dict(argstr='--backgroundValue %d', ), clippedImageMask=dict(argstr='--clippedImageMask %s', hash_files=False, ), closingSize=dict(argstr='--closingSize %d', ), debugAfterGridComputationsForegroundImage=dict(argstr='--debugAfterGridComputationsForegroundImage %s', hash_files=False, ), debugClippedImageMask=dict(argstr='--debugClippedImageMask %s', hash_files=False, ), debugDistanceImage=dict(argstr='--debugDistanceImage %s', hash_files=False, ), debugGridImage=dict(argstr='--debugGridImage %s', hash_files=False, ), debugTrimmedImage=dict(argstr='--debugTrimmedImage %s', hash_files=False, ), environ=dict(nohash=True, usedefault=True, ), generateDebugImages=dict(argstr='--generateDebugImages ', ), headSizeEstimate=dict(argstr='--headSizeEstimate %f', ), headSizeLimit=dict(argstr='--headSizeLimit %f', ), ignore_exception=dict(nohash=True, usedefault=True, ), imageMask=dict(argstr='--imageMask %s', ), inputVolume=dict(argstr='--inputVolume %s', ), maximize=dict(argstr='--maximize ', ), otsuPercentileThreshold=dict(argstr='--otsuPercentileThreshold %f', ), terminal_output=dict(nohash=True, ), ) inputs = FindCenterOfBrain.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_FindCenterOfBrain_inputs(): input_map = dict( args=dict(argstr='%s', ), axis=dict(argstr='--axis %d', ), backgroundValue=dict(argstr='--backgroundValue %d', ), clippedImageMask=dict( argstr='--clippedImageMask %s', hash_files=False, ), closingSize=dict(argstr='--closingSize %d', ), debugAfterGridComputationsForegroundImage=dict( argstr='--debugAfterGridComputationsForegroundImage %s', hash_files=False, ), debugClippedImageMask=dict( argstr='--debugClippedImageMask %s', hash_files=False, ), debugDistanceImage=dict( argstr='--debugDistanceImage %s', hash_files=False, ), debugGridImage=dict( argstr='--debugGridImage %s', hash_files=False, ), debugTrimmedImage=dict( argstr='--debugTrimmedImage %s', hash_files=False, ), environ=dict( nohash=True, usedefault=True, ), generateDebugImages=dict(argstr='--generateDebugImages ', ), headSizeEstimate=dict(argstr='--headSizeEstimate %f', ), headSizeLimit=dict(argstr='--headSizeLimit %f', ), ignore_exception=dict( nohash=True, usedefault=True, ), imageMask=dict(argstr='--imageMask %s', ), inputVolume=dict(argstr='--inputVolume %s', ), maximize=dict(argstr='--maximize ', ), otsuPercentileThreshold=dict(argstr='--otsuPercentileThreshold %f', ), terminal_output=dict(nohash=True, ), ) inputs = FindCenterOfBrain.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_FindCenterOfBrain_outputs(): output_map = dict(clippedImageMask=dict(), debugAfterGridComputationsForegroundImage=dict(), debugClippedImageMask=dict(), debugDistanceImage=dict(), debugGridImage=dict(), debugTrimmedImage=dict(), ) outputs = FindCenterOfBrain.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_FindCenterOfBrain_outputs(): output_map = dict( clippedImageMask=dict(), debugAfterGridComputationsForegroundImage=dict(), debugClippedImageMask=dict(), debugDistanceImage=dict(), debugGridImage=dict(), debugTrimmedImage=dict(), ) outputs = FindCenterOfBrain.output_spec() for key, metadata in output_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(outputs.traits()[key], metakey), value