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330893be5c
Batch 86: 4 NFT-RES blackbox scenarios + 4 helper evaluators + 74 unit tests + directory-layout registration. * AZ-432 NFT-RES-01: 30 s IMU-only fallback drift bound (AC-3.5 + AC-NEW-7); two sub-cases (no_imu ≤100m, good_imu_combined_factor ≤50m). * AZ-433 NFT-RES-02: companion mid-flight reboot (AC-5.2 + AC-5.3); resume ≤30s + first-emission accuracy ≤100m. * AZ-434 NFT-RES-03: 100-iteration Monte Carlo envelope (AC-NEW-4); iteration-count + master-seed determinism + envelope ratio ≥0.95. Canonical-param by default; E2E_NFT_RES_03_FULL_MATRIX=1 unlocks matrix. * AZ-435 NFT-RES-04: 35s blackout+spoof escalation ladder (AC-NEW-8); AC-1 (cov-2d→fix-degrade ≤500ms) + AC-2 (failsafe→999+STATUSTEXT ≤500ms) + AC-ORDER (strict ordering). Verdict: PASS_WITH_WARNINGS (0 Critical, 0 High, 0 Medium, 5 Low). F5 documents intentional threshold duplication with blackout_spoof evaluator (prevents contract drift between FT-N-04 and NFT-RES-04). Co-authored-by: Cursor <cursoragent@cursor.com>
236 lines
8.4 KiB
Python
236 lines
8.4 KiB
Python
"""NFT-RES-03 — 100-iteration Monte Carlo statistical envelope (AZ-434 / AC-NEW-4).
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Tier-1 OR Tier-2. The runner orchestrates 100 Derkachi replays with
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seeded perturbations (gain noise, IMU bias, frame-drop, outlier
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injection) and supplies this scenario with a captured fixture
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containing per-iteration per-frame ``(error_m, cov_semi_major_m)``
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pairs. The scenario validates:
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* AC-1 — iteration_count ≥ 100.
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* AC-2 — same master_seed yields bit-identical iteration outcomes
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(verified by re-evaluating the same fixture twice and comparing
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``determinism_fingerprint``).
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* AC-3 — global aggregate envelope:
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``count(error_m ≤ 1.96 × cov_semi_major_m) / total ≥ 0.95``.
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* AC-4 — parameterization: SHOULD run only one canonical
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parameterization per CI invocation by default; full-matrix mode
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gated behind ``E2E_NFT_RES_03_FULL_MATRIX=1``. The scenario uses
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``fc_adapter`` + ``vio_strategy`` fixtures so the harness param
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matrix decides which combinations to run.
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Production dependency surfaced to AZ-595: the
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``E2E_NFT_RES_03_FIXTURE`` env var names a JSON file with shape:
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{
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"master_seed": <int>,
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"iterations": [
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{
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"iteration_id": "iter-001",
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"iteration_seed": <int>,
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"samples": [{"error_m": <f>, "cov_semi_major_m": <f>}, ...]
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},
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...
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]
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}
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The harness MAY emit the fixture with a single canonical parameterization
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per CI invocation by default — ``E2E_NFT_RES_03_FULL_MATRIX=1``
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unlocks the full 100 × N_params expansion.
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"""
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from __future__ import annotations
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import json
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import os
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from pathlib import Path
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import pytest
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from runner.helpers import monte_carlo_envelope_evaluator as mce
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NFT_RES_03_FIXTURE_ENV_VAR = "E2E_NFT_RES_03_FIXTURE"
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NFT_RES_03_DEFAULT_FIXTURE_NAME = "nft_res_03_monte_carlo.json"
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NFT_RES_03_FULL_MATRIX_ENV_VAR = "E2E_NFT_RES_03_FULL_MATRIX"
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NFT_RES_03_CANONICAL_FC = "ardupilot"
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NFT_RES_03_CANONICAL_VIO = "okvis2"
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@pytest.mark.scenario_id("nft-res-03")
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@pytest.mark.traces_to("AC-NEW-4,AC-1,AC-2,AC-3,AC-4")
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def test_nft_res_03_monte_carlo(
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fc_adapter: str,
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vio_strategy: str,
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evidence_dir, # type: ignore[no-untyped-def]
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run_id: str,
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nfr_recorder, # type: ignore[no-untyped-def]
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sitl_replay_ready: bool,
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) -> None:
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"""AC-1 (iteration count) + AC-2 (determinism) + AC-3 (envelope) + AC-4 (param)."""
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if not _full_matrix_enabled() and (
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fc_adapter != NFT_RES_03_CANONICAL_FC
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or vio_strategy != NFT_RES_03_CANONICAL_VIO
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):
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pytest.skip(
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f"NFT-RES-03 AC-4: by default runs only canonical "
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f"({NFT_RES_03_CANONICAL_FC}, {NFT_RES_03_CANONICAL_VIO}); "
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f"set {NFT_RES_03_FULL_MATRIX_ENV_VAR}=1 to enable the "
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f"100 × N_params full-matrix expansion."
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)
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if not sitl_replay_ready:
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pytest.skip(
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"NFT-RES-03 requires `E2E_SITL_REPLAY_DIR` to point at a "
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"prepared SITL replay fixture (AZ-595) carrying N≥100 "
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"Monte Carlo iterations. Pure-logic AC-1 + AC-2 + AC-3 "
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"covered by "
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"e2e/_unit_tests/helpers/test_monte_carlo_envelope_evaluator.py."
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)
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fixture_path = _resolve_fixture_path()
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if not fixture_path.is_file():
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pytest.fail(
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f"NFT-RES-03: fixture not found at {fixture_path}. "
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f"`{NFT_RES_03_FIXTURE_ENV_VAR}` env var must point at a JSON "
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"file with the schema documented in the scenario docstring. "
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"Production dependency: AZ-595."
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)
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payload = json.loads(fixture_path.read_text())
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master_seed, iterations = _parse_payload(payload, fixture_path)
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report1 = mce.evaluate(iterations, master_seed=master_seed)
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report2 = mce.evaluate(iterations, master_seed=master_seed)
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fingerprint = mce.determinism_fingerprint(report1)
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fingerprint2 = mce.determinism_fingerprint(report2)
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out_base = (
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evidence_dir
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/ "nft-res-03"
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/ f"{fc_adapter}-{vio_strategy}"
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)
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mce.write_csv_evidence(out_base.with_suffix(".csv"), report1)
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mce.write_per_iteration_csv(
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out_base.with_name(out_base.name + "-per-iter").with_suffix(".csv"),
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report1,
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)
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nfr_recorder.record_metric(
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"nft_res_03.iteration_count", float(report1.iteration_count), ac_id="AC-1"
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)
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nfr_recorder.record_metric(
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"nft_res_03.total_samples", float(report1.total_samples)
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)
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if report1.envelope_ratio is not None:
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nfr_recorder.record_metric(
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"nft_res_03.envelope_ratio", float(report1.envelope_ratio), ac_id="AC-3"
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)
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nfr_recorder.record_metric(
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"nft_res_03.master_seed", float(report1.master_seed)
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)
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assert report1.passes_iteration_count, (
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f"AC-1: iteration_count={report1.iteration_count} < required "
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f"{report1.min_iteration_count}"
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)
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assert fingerprint == fingerprint2, (
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f"AC-2: determinism fingerprint differs across two evaluations of the "
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f"same fixture: {fingerprint} vs {fingerprint2}"
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)
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assert report1.passes_envelope, (
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f"AC-3: envelope ratio = {report1.envelope_ratio} < budget "
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f"{report1.envelope_ratio_budget} "
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f"(covered={report1.covered_samples}/{report1.total_samples})"
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)
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def _full_matrix_enabled() -> bool:
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return os.environ.get(NFT_RES_03_FULL_MATRIX_ENV_VAR, "").strip() in {"1", "true", "yes"}
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def _resolve_fixture_path() -> Path:
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raw = os.environ.get(NFT_RES_03_FIXTURE_ENV_VAR, "").strip()
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from runner.helpers import sitl_observer
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root = sitl_observer.replay_dir()
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if not raw:
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if root is None:
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return Path(f"<{NFT_RES_03_FIXTURE_ENV_VAR}-unset>")
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return root / NFT_RES_03_DEFAULT_FIXTURE_NAME
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path = Path(raw)
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if not path.is_absolute() and root is not None:
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path = root / path
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return path
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def _parse_payload(
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payload: object, fixture_path: Path
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) -> tuple[int, list[mce.IterationOutcome]]:
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if not isinstance(payload, dict):
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pytest.fail(
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f"NFT-RES-03: fixture {fixture_path} must be a JSON object; "
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f"got top-level type={type(payload).__name__}"
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)
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try:
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master_seed = int(payload["master_seed"])
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except (KeyError, TypeError, ValueError) as exc:
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pytest.fail(
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f"NFT-RES-03: fixture {fixture_path} missing/invalid "
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f"'master_seed': {exc}"
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)
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raw_iters = payload.get("iterations")
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if not isinstance(raw_iters, list) or not raw_iters:
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pytest.fail(
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f"NFT-RES-03: fixture {fixture_path} 'iterations' must be a "
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f"non-empty list"
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)
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parsed: list[mce.IterationOutcome] = []
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for idx, entry in enumerate(raw_iters):
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if not isinstance(entry, dict):
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pytest.fail(
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f"NFT-RES-03: iterations[{idx}] in {fixture_path} must be "
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f"an object; got {type(entry).__name__}"
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)
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iter_id = str(entry.get("iteration_id") or f"iter-{idx:03d}")
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try:
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seed = int(entry["iteration_seed"])
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except (KeyError, TypeError, ValueError) as exc:
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pytest.fail(
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f"NFT-RES-03: iterations[{idx}].iteration_seed in "
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f"{fixture_path} must be int: {exc}"
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)
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raw_samples = entry.get("samples")
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if not isinstance(raw_samples, list):
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pytest.fail(
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f"NFT-RES-03: iterations[{idx}].samples in {fixture_path} "
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f"must be a list of objects"
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)
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samples: list[mce.FrameSample] = []
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for j, s in enumerate(raw_samples):
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if not isinstance(s, dict):
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pytest.fail(
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f"NFT-RES-03: iterations[{idx}].samples[{j}] in "
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f"{fixture_path} must be an object"
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)
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try:
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samples.append(
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mce.FrameSample(
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error_m=float(s["error_m"]),
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cov_semi_major_m=float(s["cov_semi_major_m"]),
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)
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)
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except (KeyError, TypeError, ValueError) as exc:
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pytest.fail(
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f"NFT-RES-03: iterations[{idx}].samples[{j}] in "
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f"{fixture_path} shape invalid: {exc}"
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)
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parsed.append(
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mce.IterationOutcome(
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iteration_id=iter_id,
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iteration_seed=seed,
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samples=tuple(samples),
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)
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)
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return master_seed, parsed
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