def test_optim_preproc():
nb, errors = notebook_run(
os.path.join(os.path.dirname(os.path.abspath(__file__)), '..',
'examples', 'demo_optim_data_preproc.ipynb'))
if len(errors) > 0:
for err in errors:
for tbi in err['traceback']:
print(tbi)
raise AssertionError("errors in notebook testcases")
def test_demo_adversarial_debiasing():
nb, errors = notebook_run(
os.path.join(os.path.dirname(os.path.abspath(__file__)), '..',
'examples', 'demo_adversarial_debiasing.ipynb'))
if len(errors) > 0:
for err in errors:
for tbi in err['traceback']:
print(tbi)
raise AssertionError("errors in notebook testcases")
def test_calibrated_eqodds_postprocessing():
nb, errors = notebook_run(os.path.join(
os.path.dirname(os.path.abspath(__file__)),
'..', 'examples', 'demo_calibrated_eqodds_postprocessing.ipynb'))
if len(errors) > 0:
for err in errors:
for tbi in err['traceback']:
print(tbi)
raise AssertionError("errors in notebook testcases")
def test_gerryfair_classifier():
nb, errors = notebook_run(
os.path.join(os.path.dirname(os.path.abspath(__file__)), '..',
'examples', 'demo_short_gerryfair_test.ipynb'))
if len(errors) > 0:
for err in errors:
for tbi in err['traceback']:
print(tbi)
raise AssertionError("errors in notebook testcases")
def test_demo_grid_search_regression():
nb, errors = notebook_run(
os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', '..',
'examples', 'sklearn',
'demo_grid_search_reduction_regression_sklearn.ipynb'))
if len(errors) > 0:
for err in errors:
for tbi in err['traceback']:
print(tbi)
raise AssertionError("errors in notebook testcases")
def test_demo_exp_grad_red():
nb, errors = notebook_run(
os.path.join(os.path.dirname(os.path.abspath(__file__)), '..',
'examples',
'demo_exponentiated_gradient_reduction.ipynb'))
if len(errors) > 0:
for err in errors:
for tbi in err['traceback']:
print(tbi)
raise AssertionError("errors in notebook testcases")
def test_demo_mdss_classifier_metric_sklearn():
nb, errors = notebook_run(
os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', '..',
'examples', 'sklearn',
'demo_mdss_classifier_metric_sklearn.ipynb'))
if len(errors) > 0:
for err in errors:
for tbi in err['traceback']:
print(tbi)
raise AssertionError("errors in notebook testcases")
