def test_PairedTTestDesign_inputs(): input_map = dict( ignore_exception=dict(nohash=True, usedefault=True), paths=dict(), use_implicit_threshold=dict(field="masking.im"), no_grand_mean_scaling=dict(field="globalm.gmsca.gmsca_no"), global_calc_mean=dict(field="globalc.g_mean", xor=["global_calc_omit", "global_calc_values"]), use_v8struct=dict(min_ver="8", usedefault=True), ancova=dict(field="des.pt.ancova"), threshold_mask_absolute=dict( field="masking.tm.tma.athresh", xor=["threshold_mask_none", "threshold_mask_relative"] ), use_mcr=dict(), threshold_mask_none=dict( field="masking.tm.tm_none", xor=["threshold_mask_absolute", "threshold_mask_relative"] ), covariates=dict(field="cov"), global_calc_omit=dict(field="globalc.g_omit", xor=["global_calc_mean", "global_calc_values"]), matlab_cmd=dict(), global_calc_values=dict(field="globalc.g_user.global_uval", xor=["global_calc_mean", "global_calc_omit"]), mfile=dict(usedefault=True), paired_files=dict(field="des.pt.pair", mandatory=True), explicit_mask_file=dict(field="masking.em"), threshold_mask_relative=dict( field="masking.tm.tmr.rthresh", xor=["threshold_mask_absolute", "threshold_mask_none"] ), spm_mat_dir=dict(field="dir"), grand_mean_scaling=dict(field="des.pt.gmsca"), global_normalization=dict(field="globalm.glonorm"), ) inputs = PairedTTestDesign.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_PairedTTestDesign_outputs(): output_map = dict(spm_mat_file=dict()) outputs = PairedTTestDesign.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_PairedTTestDesign_outputs(): output_map = dict(spm_mat_file=dict(), ) outputs = PairedTTestDesign.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_PairedTTestDesign_inputs(): input_map = dict( ancova=dict(field='des.pt.ancova', ), covariates=dict(field='cov', ), explicit_mask_file=dict(field='masking.em', ), global_calc_mean=dict( field='globalc.g_mean', xor=['global_calc_omit', 'global_calc_values'], ), global_calc_omit=dict( field='globalc.g_omit', xor=['global_calc_mean', 'global_calc_values'], ), global_calc_values=dict( field='globalc.g_user.global_uval', xor=['global_calc_mean', 'global_calc_omit'], ), global_normalization=dict(field='globalm.glonorm', ), grand_mean_scaling=dict(field='des.pt.gmsca', ), ignore_exception=dict( nohash=True, usedefault=True, ), matlab_cmd=dict(), mfile=dict(usedefault=True, ), no_grand_mean_scaling=dict(field='globalm.gmsca.gmsca_no', ), paired_files=dict( field='des.pt.pair', mandatory=True, ), paths=dict(), spm_mat_dir=dict(field='dir', ), threshold_mask_absolute=dict( field='masking.tm.tma.athresh', xor=['threshold_mask_none', 'threshold_mask_relative'], ), threshold_mask_none=dict( field='masking.tm.tm_none', xor=['threshold_mask_absolute', 'threshold_mask_relative'], ), threshold_mask_relative=dict( field='masking.tm.tmr.rthresh', xor=['threshold_mask_absolute', 'threshold_mask_none'], ), use_implicit_threshold=dict(field='masking.im', ), use_mcr=dict(), use_v8struct=dict( min_ver='8', usedefault=True, ), ) inputs = PairedTTestDesign.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_PairedTTestDesign_inputs(): input_map = dict(ancova=dict(field='des.pt.ancova', ), covariates=dict(field='cov', ), explicit_mask_file=dict(field='masking.em', ), global_calc_mean=dict(field='globalc.g_mean', xor=['global_calc_omit', 'global_calc_values'], ), global_calc_omit=dict(field='globalc.g_omit', xor=['global_calc_mean', 'global_calc_values'], ), global_calc_values=dict(field='globalc.g_user.global_uval', xor=['global_calc_mean', 'global_calc_omit'], ), global_normalization=dict(field='globalm.glonorm', ), grand_mean_scaling=dict(field='des.pt.gmsca', ), ignore_exception=dict(nohash=True, usedefault=True, ), matlab_cmd=dict(), mfile=dict(usedefault=True, ), no_grand_mean_scaling=dict(field='globalm.gmsca.gmsca_no', ), paired_files=dict(field='des.pt.pair', mandatory=True, ), paths=dict(), spm_mat_dir=dict(field='dir', ), threshold_mask_absolute=dict(field='masking.tm.tma.athresh', xor=['threshold_mask_none', 'threshold_mask_relative'], ), threshold_mask_none=dict(field='masking.tm.tm_none', xor=['threshold_mask_absolute', 'threshold_mask_relative'], ), threshold_mask_relative=dict(field='masking.tm.tmr.rthresh', xor=['threshold_mask_absolute', 'threshold_mask_none'], ), use_implicit_threshold=dict(field='masking.im', ), use_mcr=dict(), use_v8struct=dict(min_ver='8', usedefault=True, ), ) inputs = PairedTTestDesign.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value