def investigate_regression_test(idx):
"""Investigate regression tests."""
tests = load_regression_tests()
params, options, exp_val = tests[idx]
crit_val = compute_log_likelihood(params, options)
assert np.isclose(
crit_val, exp_val, rtol=TOL_REGRESSION_TESTS, atol=TOL_REGRESSION_TESTS
)
def _create_single(idx):
"""Create a single test."""
np.random.seed(idx)
params, options = generate_random_model()
crit_val = compute_log_likelihood(params, options)
if not isinstance(crit_val, float):
raise AssertionError(" ... value of criterion function too large.")
return params, options, crit_val
def _check_single(test, strict):
"""Check a single test."""
params, options, exp_val = test
try:
crit_val = compute_log_likelihood(params, options)
is_success = np.isclose(
crit_val, exp_val, rtol=TOL_REGRESSION_TESTS, atol=TOL_REGRESSION_TESTS
)
except Exception:
is_success = False
if strict is True:
assert is_success, "Failed regression test."
return is_success