def test_io_fetch_fetcher_datanames():
available_data = FetchFlow.get_fetcher_datanames()
dataset_names = ['bundle_atlas_hcp842', 'bundle_fa_hcp',
'bundles_2_subjects', 'cenir_multib', 'cfin_multib',
'file_formats', 'gold_standard_io', 'isbi2013_2shell',
'ivim', 'mni_template', 'qtdMRI_test_retest_2subjects',
'scil_b0', 'sherbrooke_3shell', 'stanford_hardi',
'stanford_labels', 'stanford_pve_maps', 'stanford_t1',
'syn_data', 'taiwan_ntu_dsi', 'target_tractogram_hcp',
'tissue_data']
num_expected_fetch_methods = len(dataset_names)
npt.assert_equal(len(available_data), num_expected_fetch_methods)
npt.assert_equal(all(dataset_name in available_data.keys()
for dataset_name in dataset_names), True)
def test_io_fetch():
fetch_flow = FetchFlow()
with TemporaryDirectory() as out_dir:
fetch_flow.run(['bundle_fa_hcp'])
npt.assert_equal(
os.path.isdir(os.path.join(dipy_home, 'bundle_fa_hcp')), True)
fetch_flow.run(['bundle_fa_hcp'], out_dir=out_dir)
npt.assert_equal(os.path.isdir(os.path.join(out_dir, 'bundle_fa_hcp')),
True)