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benchflow
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frontierphysics-pr28-evidence

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E Not equal to tolerance rtol=1e-05, atol=1e-05
E Mismatch in beta_excess_free_energy_density_A3inv
E Mismatched elements: 50 / 50 (100%)
E Max absolute difference: 0.09427662
E Max relative difference: 1.5650976
E x: array([-0.004226, -0.007658, -0.011283, -0.014975, -0.018957, -0.023274,
E -0.027539, -0.031809, -0.036155, -0.040555, -0.044993, -0.049457,
E -0.053939, -0.058429, -0.062921, -0.067408, -0.071881, -0.076333,...
E y: array([-0.001869, -0.003425, -0.005174, -0.006991, -0.009096, -0.011537,
E -0.013926, -0.016321, -0.018791, -0.021315, -0.023877, -0.026466,
E -0.029071, -0.031685, -0.034302, -0.036912, -0.039509, -0.042086,...
usr/local/lib/python3.12/contextlib.py:81: AssertionError
_____________ test_thermodynamic_identities_and_physical_behavior ______________
def test_thermodynamic_identities_and_physical_behavior() -> None:
rows = load_eos_csv(EOS_PATH)
payload = config()
fractions = [float(item["fraction"]) for item in payload["species"]]
np.testing.assert_allclose(
rows["species_1_density_A3inv"],
rows["total_density_A3inv"] * fractions[0],
rtol=0.0,
atol=5e-13,
)
np.testing.assert_allclose(
rows["species_2_density_A3inv"],
rows["total_density_A3inv"] * fractions[1],
rtol=0.0,
atol=5e-13,
)
np.testing.assert_allclose(
rows["pressure_total_atm"],
rows["pressure_short_atm"] + rows["pressure_long_range_correction_atm"],
rtol=2e-12,
atol=2e-8,
)
_, beta_mu_corrections = long_range_corrections(payload)
> np.testing.assert_allclose(
rows["beta_mu_species_1_full"] - rows["beta_mu_species_1_short"],
beta_mu_corrections[0],
rtol=2e-9,
atol=2e-9,
)
verifier/test_outputs.py:519:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x789a9bc0e3e0>, array([-2.35691534, -2.35691534, -2.35691534, -2.35691...-2.35691534, -2.35691534,
-2.35691534, -2.35691534, -2.35691534, -2.35691534, -2.35691534]), array(-4.71383068))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=2e-09, atol=2e-09', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
^^^^^^^^^^^^^^^^^^^
E AssertionError:
E Not equal to tolerance rtol=2e-09, atol=2e-09
E
E Mismatched elements: 50 / 50 (100%)
E Max absolute difference: 2.35691534
E Max relative difference: 0.5
E x: array([-2.356915, -2.356915, -2.356915, -2.356915, -2.356915, -2.356915,
E -2.356915, -2.356915, -2.356915, -2.356915, -2.356915, -2.356915,
E -2.356915, -2.356915, -2.356915, -2.356915, -2.356915, -2.356915,...
E y: array(-4.713831)
usr/local/lib/python3.12/contextlib.py:81: AssertionError
______________ test_simulation_comparison_and_summary_consistency ______________
def test_simulation_comparison_and_summary_consistency() -> None:
rows = load_eos_csv(EOS_PATH)
z_score = (rows["pressure_total_atm"] - rows["simulation_pressure_atm"]) / rows["simulation_sigma_atm"]
np.testing.assert_allclose(
rows["simulation_z_score"],
z_score,
rtol=2e-10,
atol=2e-10,
)
> assert np.all(np.abs(z_score) <= 2.0)
E AssertionError: assert False
E + where False = <function all at 0x789ae51180f0>(array([7.06724118, 4.58944971, 3.26786342, 2.56068938, 2.10930735,\n 2.32882188, 2.1709388 , 2.10694687, 2.00745069, 1.94333236,\n 1.81527675, 1.7460386 , 1.71911123, 1.69126005, 1.54267758,\n 1.54362522, 1.50332503, 1.46185575, 1.39303907, 1....
E + where <function all at 0x789ae51180f0> = np.all
E + and array([7.06724118, 4.58944971, 3.26786342, 2.56068938, 2.10930735,\n 2.32882188, 2.1709388 , 2.10694687, 2.00745069, 1.94333236,\n 1.81527675, 1.7460386 , 1.71911123, 1.69126005, 1.54267758,\n 1.54362522, 1.50332503, 1.46185575, 1.39303907, 1.29608577,\n 1.32308179, 1.3256885...
E + where <ufunc 'absolute'> = np.abs
verifier/test_outputs.py:543: AssertionError
__________________ test_reusable_program_on_hidden_densities ___________________
def test_reusable_program_on_hidden_densities() -> None:
for path, expected_hash in FROZEN_HASHES.items():
assert sha256(path) == expected_hash, f"Frozen input changed: {path}"
require_regular_file(PROGRAM_PATH, "reusable EOS program")
payload = config()
public_densities = tuple(load_density_csv(DENSITY_PATH).tolist())
schedule = build_schedule(
minimum=float(payload["density_domain_A3inv"]["minimum"]),
maximum=float(payload["density_domain_A3inv"]["maximum"]),
public_densities=public_densities,