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============================= test session starts ============================== |
platform linux -- Python 3.12.13, pytest-8.4.1, pluggy-1.6.0 -- /usr/local/bin/python3 |
rootdir: /app |
configfile: ../dev/null |
plugins: json-ctrf-0.3.5 |
collecting ... collected 14 items |
::test_frozen_instance_untampered PASSED [ 7%] |
::test_results_present_and_complete PASSED [ 14%] |
::test_solver_is_a_real_computation PASSED [ 21%] |
::test_each_config_matches_independent_recompute FAILED [ 28%] |
::test_reciprocity_and_energy_invariants PASSED [ 35%] |
::test_hybridisation_widens_the_gap PASSED [ 42%] |
::test_ratio_ordering_across_configs PASSED [ 50%] |
::test_effective_index_follows_compliance_law PASSED [ 57%] |
::test_held_out_solver_generalises FAILED [ 64%] |
::test_diatomic_solver_is_a_real_computation PASSED [ 71%] |
::test_diatomic_configs_match_independent_recompute FAILED [ 78%] |
::test_diatomic_reciprocity_and_energy PASSED [ 85%] |
::test_diatomic_held_out_solver_generalises FAILED [ 92%] |
::test_no_leaked_reference_artifacts PASSED [100%] |
=================================== FAILURES =================================== |
________________ test_each_config_matches_independent_recompute ________________ |
def test_each_config_matches_independent_recompute(): |
LOGS.mkdir(parents=True, exist_ok=True) |
summary = [] |
for entry, rec, ref in _iter_configs(): |
where = f"config {entry['id']}" |
assert int(rec["N"]) == int(entry["N"]) if "N" in rec else True |
> grade_config(rec, ref, where) |
/verifier/test_outputs.py:853: |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |
/verifier/test_outputs.py:664: in grade_config |
grade_scalar(rec, ref, "gap_decay_rate", 0.08, 0.02, where) |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |
rec = {'N': 12, 'TL_peak_bragg': [18.91333813716943, 248.94174546730915], 'alpha_max': 0.0, 'attn_bragg_max': 0.23778965375369304, ...} |
ref = {'TL_peak_bragg': [18.913343539344712, 248.96229019522488], '_N': 12, '_fB': 265.06094856272057, '_fH': 441.76850207839675, ...} |
key = 'gap_decay_rate', rel = 0.08, ab = 0.02, where = 'config detuned_below' |
def grade_scalar(rec, ref, key, rel, ab, where): |
assert key in rec and rec[key] is not None, f"{where}: missing '{key}'" |
> assert approx(rec[key], ref[key], rel, ab), ( |
f"{where}: {key}={rec[key]} vs reference {ref[key]} (rel={rel}, abs={ab})") |
E AssertionError: config detuned_below: gap_decay_rate=-0.22222314644990812 vs reference 0.22230924873449445 (rel=0.08, abs=0.02) |
E assert False |
E + where False = approx(-0.22222314644990812, 0.22230924873449445, 0.08, 0.02) |
/verifier/test_outputs.py:596: AssertionError |
_______________________ test_held_out_solver_generalises _______________________ |
def test_held_out_solver_generalises(): |
"""Run the agent's own solver on hidden geometries and grade against the |
independent recompute. Hardcoded / instance-specific solvers fail here.""" |
assert SOLVER.is_file(), "Missing solver" |
LOGS.mkdir(parents=True, exist_ok=True) |
inst = load_instance() |
const = inst["constants"] |
records = [] |
for label, spec in HIDDEN_SPECS: |
p = _params_from_ratio(spec, const["c"], const["rho"], const["r_d"]) |
cmd = [sys.executable, str(SOLVER), |
"--r_n", repr(p["r_n"]), "--l_n", repr(p["l_n"]), "--V", repr(p["V"]), |
"--d", repr(p["d"]), "--N", str(p["N"]), |
"--Rv_coeff", repr(p["Rv_coeff"]), |
"--r_d", repr(p["r_d"]), "--c", repr(p["c"]), "--rho", repr(p["rho"])] |
if not p["has_cavity"]: |
cmd.append("--no-cavity") |
proc = subprocess.run(cmd, capture_output=True, text=True, timeout=600) |
assert proc.returncode == 0, f"held-out {label}: solver failed: {proc.stderr[-800:]}" |
payload = load_json_from_stdout(proc.stdout) |
ref = ref_solve(tuple(sorted(p.items()))) |
> grade_config(payload, ref, f"HELD-OUT {label}") |
/verifier/test_outputs.py:952: |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |
/verifier/test_outputs.py:664: in grade_config |
grade_scalar(rec, ref, "gap_decay_rate", 0.08, 0.02, where) |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |
rec = {'N': 12, 'TL_peak_bragg': [42.21196996534466, 304.2948961613768], 'alpha_max': 0.0, 'attn_bragg_max': 0.45618925980248065, ...} |
ref = {'TL_peak_bragg': [42.211968202109446, 304.2806552316506], '_N': 12, '_fB': 334.32789832481154, '_fH': 417.9098729060144, ...} |
key = 'gap_decay_rate', rel = 0.08, ab = 0.02 |
where = 'HELD-OUT holdout_partial' |
def grade_scalar(rec, ref, key, rel, ab, where): |
assert key in rec and rec[key] is not None, f"{where}: missing '{key}'" |
> assert approx(rec[key], ref[key], rel, ab), ( |
f"{where}: {key}={rec[key]} vs reference {ref[key]} (rel={rel}, abs={ab})") |
E AssertionError: HELD-OUT holdout_partial: gap_decay_rate=-0.4526354491298243 vs reference 0.4540500924209423 (rel=0.08, abs=0.02) |
E assert False |
E + where False = approx(-0.4526354491298243, 0.4540500924209423, 0.08, 0.02) |
/verifier/test_outputs.py:596: AssertionError |
______________ test_diatomic_configs_match_independent_recompute _______________ |
def test_diatomic_configs_match_independent_recompute(): |
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