def test_FuzzyOverlap_outputs(): output_map = dict(class_fdi=dict(), class_fji=dict(), dice=dict(), diff_file=dict(), jaccard=dict(), ) outputs = FuzzyOverlap.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_FuzzyOverlap_outputs(): output_map = dict( class_fdi=dict(), class_fji=dict(), dice=dict(), diff_file=dict(), jaccard=dict(), ) outputs = FuzzyOverlap.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_FuzzyOverlap_inputs(): input_map = dict( ignore_exception=dict( nohash=True, usedefault=True, ), in_ref=dict(mandatory=True, ), in_tst=dict(mandatory=True, ), out_file=dict(usedefault=True, ), weighting=dict(usedefault=True, ), ) inputs = FuzzyOverlap.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_FuzzyOverlap_inputs(): input_map = dict(ignore_exception=dict(nohash=True, usedefault=True, ), in_ref=dict(mandatory=True, ), in_tst=dict(mandatory=True, ), out_file=dict(usedefault=True, ), weighting=dict(usedefault=True, ), ) inputs = FuzzyOverlap.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value