def test_Realign_outputs(): output_map = dict(mean_image=dict(), modified_in_files=dict(), realigned_files=dict(), realignment_parameters=dict(), ) outputs = Realign.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_Realign_inputs(): input_map = dict(fwhm=dict(field='eoptions.fwhm', ), ignore_exception=dict(nohash=True, usedefault=True, ), in_files=dict(copyfile=True, field='data', mandatory=True, ), interp=dict(field='eoptions.interp', ), jobtype=dict(usedefault=True, ), matlab_cmd=dict(), mfile=dict(usedefault=True, ), out_prefix=dict(field='roptions.prefix', usedefault=True, ), paths=dict(), quality=dict(field='eoptions.quality', ), register_to_mean=dict(field='eoptions.rtm', mandatory=True, usedefault=True, ), separation=dict(field='eoptions.sep', ), use_mcr=dict(), use_v8struct=dict(min_ver='8', usedefault=True, ), weight_img=dict(field='eoptions.weight', ), wrap=dict(field='eoptions.wrap', ), write_interp=dict(field='roptions.interp', ), write_mask=dict(field='roptions.mask', ), write_which=dict(field='roptions.which', maxlen=2, minlen=2, usedefault=True, ), write_wrap=dict(field='roptions.wrap', ), ) inputs = Realign.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_Realign_outputs(): output_map = dict( mean_image=dict(), modified_in_files=dict(), realigned_files=dict(), realignment_parameters=dict(), ) outputs = Realign.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_Realign_inputs(): input_map = dict( fwhm=dict(field='eoptions.fwhm', ), ignore_exception=dict( nohash=True, usedefault=True, ), in_files=dict( copyfile=True, field='data', mandatory=True, ), interp=dict(field='eoptions.interp', ), jobtype=dict(usedefault=True, ), matlab_cmd=dict(), mfile=dict(usedefault=True, ), out_prefix=dict( field='roptions.prefix', usedefault=True, ), paths=dict(), quality=dict(field='eoptions.quality', ), register_to_mean=dict( field='eoptions.rtm', mandatory=True, usedefault=True, ), separation=dict(field='eoptions.sep', ), use_mcr=dict(), use_v8struct=dict( min_ver='8', usedefault=True, ), weight_img=dict(field='eoptions.weight', ), wrap=dict(field='eoptions.wrap', ), write_interp=dict(field='roptions.interp', ), write_mask=dict(field='roptions.mask', ), write_which=dict( field='roptions.which', maxlen=2, minlen=2, usedefault=True, ), write_wrap=dict(field='roptions.wrap', ), ) inputs = Realign.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value