Files
club-3090/scripts/tests/test-loop-input.sh
noonghunna 45686808cb Prune Gemma vLLM variants (9->3) and pin survivors to v0.21.0
Every gemma-4-31b vLLM compose pinned a purged Docker Hub nightly
(e47c98ef / bf610c2f), un-bootable for fresh users (#250, #167 class).
Prune the 9-variant set to 3 and repoint survivors onto the immutable
stable release tag vllm/vllm-openai:v0.21.0 (never :latest).

Survivors: vllm/gemma-mtp (bf16 dual, default), vllm/gemma-int8 (int8-PTH
dual), vllm/gemma-mtp-tp1 (fp8 single). Dropped: gemma-dflash,
gemma-dflash-int8, gemma-int8-tq3, gemma-bf16, gemma-awq; the 262K path
folds into gemma-int8 via a CTX env override. Gemma is decoupled from the
shared Qwen nightly profiles via a new vllm-gemma-stable engine profile;
Qwen nightly profiles are untouched.

Diagnose decoupling: the pruned gemma dflash patch dirs doubled as the
diagnose tool's cross-model disk-source proxies for two Qwen overlays
(vllm-pr41703-dflash, vllm-pr42102-dflash-kv-quant). Those capabilities
are image-baked in the pinned nightly, not mountable files, so mark them
image_baked and have diagnose skip the disk-source check for image-baked
overlays. Runtime-neutral (no Qwen compose mounts them).

switch.sh launcher: handle the new VLLM_IMAGE engine-pin export (the twin
loop in launch.sh had it; switch.sh did not -> "unexpected engine pin
export"), and guard the VLLM_NIGHTLY_SHA echo for the image-only stable
profile (was unbound under set -u).

Validated on 2x RTX 3090 (Ampere, v0.21.0): full scripts/tests/*.sh suite
35/0; live boots of gemma-mtp (bf16) and gemma-int8 serve coherent output,
qwen vllm/dual regression-clean. gemma-mtp-tp1 (fp8_e4m3) is correctly
SM-gated (required_sm=9.0) -- confirmed Ampere-incompatible (Triton
"fp8e4nv not supported on sm_86"), a documented 32 GB+/Hopper variant;
beellama remains the single-card gemma path on Ampere.

Refs #451, #250, #167.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-29 07:59:42 +05:00

502 lines
22 KiB
Bash
Executable File

#!/usr/bin/env bash
set -euo pipefail
# test-loop-input.sh — v0.8.0 [F] STEP F1 (club-3090 #147).
#
# Contract test for CONTRACT-1: the `FInput` capture-bundle reader. The
# test IS the spec; the code is fixed to it. NO live Docker / GPU /
# network — fixture capture dirs are built in a tmp tree (mirroring the
# byte-exact `[E]` schema from scripts/lib/profiles/capture.py) and parsed.
#
# Coverage (every CONTRACT-1 / brief F1 assertion as a failing-then-passing
# check):
# * a well-formed bundle (pt1-4 + manifest, NO pt5) loads; fields
# accessible; pt5_override is None; raw_bundle_path defaults None and
# is NOT synthesized by [E].
# * a bundle WITH pt5 loads; pt5_override is the dict.
# * forward-compat: future-additive pt1.predicted_b_breakdown /
# pt3.failure_log_excerpt / pt3.actual present -> STILL loads.
# * schema violations raise CaptureBundleError: manifest.schema != 1,
# a missing required ptN, a wrong `point`.
# * key normalization: quant_label LOWERCASED; arch_family VERBATIM;
# model_id / engine_version alias accessors return the right manifest
# values.
# * consensus_key() = the §6.2 9-tuple (exact order/fields);
# dedup_tuple() = the §6.3 7-tuple; dedup_hash() = sha256[:12].
# * failure_class surfaced as None; outcome surfaced raw but NO accessor
# claims it is the §6.1 class enum; a non-null [E] failure_class is
# rejected.
# * runs against a REAL on-disk .pull-captures/ dir if any exist
# (skips gracefully if none).
ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/../.." && pwd)"
cd "$ROOT_DIR"
export PYTHONPATH="$ROOT_DIR${PYTHONPATH:+:$PYTHONPATH}"
python3 - "$ROOT_DIR" <<'PY'
from __future__ import annotations
import json
import sys
import tempfile
from pathlib import Path
root = Path(sys.argv[1])
sys.path.insert(0, str(root))
from scripts.lib.profiles.loop_input import ( # noqa: E402
BaseCaptureBundle,
CaptureBundleError,
FInput,
FInputGate,
read_capture_bundle,
read_gate_bundle,
)
failures: list[str] = []
def check(cond: bool, msg: str) -> None:
if cond:
print(f"PASS: {msg}")
else:
print(f"FAIL: {msg}", file=sys.stderr)
failures.append(msg)
def raises(fn, msg: str) -> None:
try:
fn()
except CaptureBundleError:
print(f"PASS: {msg}")
except Exception as exc: # wrong exception type is a failure
print(f"FAIL: {msg} (raised {type(exc).__name__}, not "
f"CaptureBundleError)", file=sys.stderr)
failures.append(msg)
else:
print(f"FAIL: {msg} (did not raise)", file=sys.stderr)
failures.append(msg)
# ---------------------------------------------------------------------------
# Byte-exact [E] schema fixtures (mirror scripts/lib/profiles/capture.py).
# ---------------------------------------------------------------------------
def mk_manifest(**over) -> dict:
m = {
"schema": 1,
"slug": "Org/My-Model",
"utc_ts": "20260517T000000Z",
"submission_fingerprint": "deadbeef" * 8,
"model": "Org/My-Model",
"quant_label": "BFloat16", # mixed case ON PURPOSE
"arch_family": "LlamaForCausalLM", # used VERBATIM
"topology_class": "1x24576MiB",
"engine_pin": "vllm/vllm-openai:nightly-abc123",
"engine_version": "vllm/vllm-openai:nightly-abc123",
"kv_calc_version": "kvcalc-v0.8.0",
"selected_ctx": 32768,
"kv_format": "fp8_e5m2",
"smoke_capability_set": ["plain-chat", "streaming"],
"topology_summary_canonical": "[(NVIDIA GeForce RTX 3090, 24576)]",
"model_id": "Org/My-Model",
"failure_class": None,
"club3090_commit": "cafef00d",
"outcome": "partial",
"capture_points": ["gate", "download", "boot", "smoke"],
}
m.update(over)
return m
def write_bundle(d: Path, *, manifest=None, pt1=None, pt3=None,
pt5=None, drop=None) -> Path:
d.mkdir(parents=True, exist_ok=True)
arts = {
"manifest.json": manifest if manifest is not None else mk_manifest(),
"pt1-gate.json": pt1 if pt1 is not None else {
"schema": 1, "point": "gate", "slug": "Org/My-Model",
"confidence": "estimated-lower-bound",
"raw_verdict": "fits-clean", "terminal": "confirm→proceed",
"profile_like": "vllm/minimal", "hardware_sm": 8.6,
},
"pt2-download.json": {
"point": "download", "ok": True, "files": ["model.safetensors"],
"bytes": 123, "sha_verified": True, "failure": None,
},
"pt3-boot.json": pt3 if pt3 is not None else {
"point": "boot", "ok": True, "seconds": 81.9, "failure": None,
},
"pt4-smoke.json": {
"point": "smoke",
"smoke_capability_set": ["plain-chat", "streaming"],
"results": {"plain-chat": "green", "streaming": "green"},
"partial": True, "results_detail": {},
},
}
if drop:
arts.pop(drop, None)
for name, obj in arts.items():
(d / name).write_text(json.dumps(obj, indent=2), encoding="utf-8")
if pt5 is not None:
(d / "pt5-override-capture.json").write_text(
json.dumps(pt5, indent=2), encoding="utf-8")
return d
tmp = Path(tempfile.mkdtemp())
# ---------------------------------------------------------------------------
# 1. Well-formed bundle (no pt5) loads; fields accessible; pt5 None.
# ---------------------------------------------------------------------------
b1 = write_bundle(tmp / "b1")
fi = read_capture_bundle(b1)
check(isinstance(fi, FInput), "well-formed bundle -> FInput")
check(fi.pt5_override is None,
"no pt5 file -> pt5_override is None")
check(fi.raw_bundle_path is None,
"raw_bundle_path defaults None (NOT produced/synthesized by [E])")
check(fi.manifest["submission_fingerprint"] == "deadbeef" * 8
and fi.pt2_download["ok"] is True
and fi.pt3_boot["seconds"] == 81.9
and fi.pt4_smoke["partial"] is True
and fi.pt1_gate["raw_verdict"] == "fits-clean",
"all required pt1-4 + manifest fields accessible")
# raw_bundle_path is ONLY ever the explicit caller value.
fi_attach = read_capture_bundle(b1, raw_bundle_path="/some/report.md")
check(fi_attach.raw_bundle_path == Path("/some/report.md"),
"raw_bundle_path is exactly the explicit caller value when supplied")
# ---------------------------------------------------------------------------
# 2. Bundle WITH pt5 loads; pt5_override is the dict.
# ---------------------------------------------------------------------------
pt5_obj = {
"point": "override_capture",
"predicted_b_breakdown": {"weights": 1.0, "kv": 0.5},
"actual": {"boot_peak_mib": 23000, "gpu_worker_reported_mib": 22800},
"predicted_vs_actual_delta_mib": 500,
"exit_error_summary": None,
"calibration_signal_not_validated": True,
}
b2 = write_bundle(tmp / "b2", pt5=pt5_obj)
fi2 = read_capture_bundle(b2)
check(fi2.pt5_override == pt5_obj,
"pt5 present -> pt5_override is the parsed dict")
# ---------------------------------------------------------------------------
# 3. Forward-compat: future-additive pt1/pt3 keys still load.
# ---------------------------------------------------------------------------
b3 = write_bundle(
tmp / "b3",
pt1={
"schema": 1, "point": "gate", "slug": "Org/My-Model",
"confidence": "estimated-lower-bound", "raw_verdict": "wont-fit",
"terminal": "override-accepted", "profile_like": "vllm/minimal",
"hardware_sm": 8.6,
"predicted_b_breakdown": {"weights": 2.0}, # F3/G6-A-i additive
},
pt3={
"point": "boot", "ok": False, "seconds": 0.0,
"failure": "server did not become ready before timeout",
"failure_log_excerpt": "torch.cuda.OutOfMemoryError ...", # F3 A-ii
"actual": {"attempted_alloc_mib": 1234, # F3 A-ii'
"gpu_worker_reported_mib": 23456},
},
)
fi3 = read_capture_bundle(b3)
check(fi3.pt1_gate["predicted_b_breakdown"] == {"weights": 2.0}
and fi3.pt3_boot["actual"]["attempted_alloc_mib"] == 1234
and fi3.pt3_boot["failure_log_excerpt"].startswith("torch.cuda"),
"forward-additive pt1.predicted_b_breakdown / pt3.failure_log_excerpt "
"/ pt3.actual present -> STILL loads (no rejection of future keys)")
# ---------------------------------------------------------------------------
# 4. Schema / shape violations raise CaptureBundleError.
# ---------------------------------------------------------------------------
b4a = write_bundle(tmp / "b4a", manifest=mk_manifest(schema=2))
raises(lambda: read_capture_bundle(b4a),
"manifest.schema != 1 raises CaptureBundleError")
b4b = write_bundle(tmp / "b4b", drop="pt3-boot.json")
raises(lambda: read_capture_bundle(b4b),
"missing required pt3-boot.json raises CaptureBundleError")
b4c = write_bundle(tmp / "b4c", drop="manifest.json")
raises(lambda: read_capture_bundle(b4c),
"missing required manifest.json raises CaptureBundleError")
b4d = write_bundle(tmp / "b4d", pt3={
"point": "BOGUS", "ok": True, "seconds": 1.0, "failure": None})
raises(lambda: read_capture_bundle(b4d),
"wrong pt3 `point` value raises CaptureBundleError")
b4e = write_bundle(tmp / "b4e",
manifest=mk_manifest(failure_class="genuine-oom"))
raises(lambda: read_capture_bundle(b4e),
"non-null [E] manifest.failure_class raises CaptureBundleError "
"([F] classifies, not [E])")
raises(lambda: read_capture_bundle(tmp / "does-not-exist"),
"non-existent capture dir raises CaptureBundleError")
# ---------------------------------------------------------------------------
# 5. Key normalization + alias accessors.
# ---------------------------------------------------------------------------
fi = read_capture_bundle(b1)
check(fi.quant_label == "bfloat16",
f"quant_label LOWERCASED for keying (raw 'BFloat16' -> "
f"{fi.quant_label!r})")
check(fi.arch_family == "LlamaForCausalLM",
f"arch_family used VERBATIM, NOT re-normalized (got "
f"{fi.arch_family!r})")
check(fi.model_id == "Org/My-Model" == fi.manifest["model"],
"model_id alias accessor == manifest['model']")
check(fi.engine_version == "vllm/vllm-openai:nightly-abc123"
== fi.manifest["engine_pin"],
"engine_version alias accessor == manifest['engine_pin']")
# ---------------------------------------------------------------------------
# 6. consensus_key() = §6.2 9-tuple; dedup_tuple() = §6.3 7-tuple.
# ---------------------------------------------------------------------------
ck = fi.consensus_key()
check(isinstance(ck, tuple) and len(ck) == 9,
f"consensus_key() is the §6.2 9-tuple (len={len(ck)})")
check(ck == (
"Org/My-Model", "bfloat16", "LlamaForCausalLM", "1x24576MiB",
"vllm/vllm-openai:nightly-abc123", "kvcalc-v0.8.0", 32768,
"fp8_e5m2", ("plain-chat", "streaming")),
"consensus_key() exact order/fields/normalization (§6.2)")
check(ck[1] == "bfloat16" and ck[2] == "LlamaForCausalLM",
"consensus_key() pos1 quant lowercased, pos2 arch verbatim")
dt = fi.dedup_tuple()
check(isinstance(dt, tuple) and len(dt) == 7,
f"dedup_tuple() is the §6.3 7-tuple (len={len(dt)})")
check(dt == (
"Org/My-Model", "bfloat16", "LlamaForCausalLM", "kvcalc-v0.8.0",
"vllm/vllm-openai:nightly-abc123", None, "1x24576MiB"),
"dedup_tuple() exact order/fields/normalization (§6.3)")
check(dt[5] is None,
"dedup_tuple() pos5 failure_class is None on an [E] bundle")
dh = fi.dedup_hash()
check(isinstance(dh, str) and len(dh) == 12
and all(c in "0123456789abcdef" for c in dh),
f"dedup_hash() is sha256[:12] hex (got {dh!r})")
# ---------------------------------------------------------------------------
# 7. failure_class surfaced None; outcome raw, NOT a §6.1 class enum.
# ---------------------------------------------------------------------------
check(fi.failure_class is None,
"failure_class surfaced as None ([F] computes it later, not [E])")
check(fi.outcome == "partial",
"outcome raw value surfaced (interim [E] 3-state)")
# Binding rule: there must be NO accessor claiming `outcome` is the §6.1
# class. Assert no method/property name asserts a class taxonomy on it.
api = set(dir(fi))
check("failure_class" in api and "outcome" in api,
"FInput exposes raw `failure_class` + `outcome` accessors")
check(not any("class_enum" in n or "six_one_class" in n
or "classify" in n for n in api),
"no FInput accessor claims `outcome` is the §6.1 class enum "
"(binding rule: [F] derives failure_class itself downstream)")
# ---------------------------------------------------------------------------
# 7b. v0.8.2 CONTRACT-1.1 — `BaseCaptureBundle` protocol + schema==1
# byte-identity (the V1 RED-LINE) + `read_gate_bundle()` (schema==2).
# ---------------------------------------------------------------------------
import hashlib as _hl # noqa: E402
# (a) The protocol-lift is byte-identity-preserving: the SAME schema==1
# bundle yields a byte-identical FInput + identical dedup_tuple +
# dedup_hash + consensus_key PRE/POST (the F3-class risk). We assert
# determinism (two reads of the same bytes are identical) AND that
# FInput satisfies BaseCaptureBundle BY CONSTRUCTION.
fi_a = read_capture_bundle(b1)
fi_b = read_capture_bundle(b1)
check(fi_a.manifest == fi_b.manifest
and fi_a.dedup_tuple() == fi_b.dedup_tuple()
and fi_a.dedup_hash() == fi_b.dedup_hash()
and fi_a.consensus_key() == fi_b.consensus_key(),
"V1 RED-LINE: a real schema==1 bundle -> byte-identical FInput + "
"identical dedup_tuple/dedup_hash/consensus_key (protocol lift is "
"a pure static retype)")
# The literal expected dedup_hash for b1's manifest — pinned so a future
# refactor that perturbs the schema==1 serialization fails LOUDLY here.
_b1_dt = ("Org/My-Model", "bfloat16", "LlamaForCausalLM", "kvcalc-v0.8.0",
"vllm/vllm-openai:nightly-abc123", None, "1x24576MiB")
_b1_h = _hl.sha256("\x1f".join(str(p) for p in _b1_dt)
.encode("utf-8")).hexdigest()[:12]
check(fi_a.dedup_hash() == _b1_h,
f"V1 RED-LINE: schema==1 dedup_hash is the pinned byte-exact value "
f"{_b1_h} (no drift from the protocol lift)")
check(isinstance(fi_a, BaseCaptureBundle),
"FInput satisfies BaseCaptureBundle (runtime_checkable Protocol — "
"by construction; no isinstance(finput, FInput) anywhere in F2/F5)")
check(fi_a.is_gate_only is False,
"FInput.is_gate_only defaults False (a schema==1 full bundle is "
"NEVER gate-only; additive default => schema==1 byte-identical)")
# (b) read_gate_bundle(): a schema==2 gate-only bundle -> FInputGate. It
# validates ONLY the always-present row + outcome=='hard-block' +
# failure_class is None; it MUST NOT reuse the 22-key validator.
def write_gate(d: Path, *, manifest=None, pt1=None) -> Path:
d.mkdir(parents=True, exist_ok=True)
gm = manifest if manifest is not None else {
"schema": 2, "slug": "Org/Gate-Model",
"utc_ts": "20260518T000000Z", "club3090_commit": "cafef00d",
"outcome": "hard-block",
"abort_reason": "engine-support-unknown/no-arch-row",
"failure_class": None,
"model": "Org/Gate-Model", "model_id": "Org/Gate-Model",
"arch_family": None, "quant_label": None,
"topology_class": None, "topology_summary_canonical": None,
"selected_ctx": None, "kv_format": None,
"smoke_capability_set": None, "engine_pin": None,
"engine_version": None, "kv_calc_version": None,
"submission_fingerprint": None, "is_gate_only": True,
"capture_points": ["gate"],
}
gp = pt1 if pt1 is not None else {
"schema": 2, "point": "gate", "slug": "Org/Gate-Model",
"confidence": "ESTIMATED_LOWER_BOUND", "raw_verdict": None,
"profile_like": "vllm/minimal", "hardware_sm": 8.6,
"predicted_b_breakdown": None,
"abort_reason": "engine-support-unknown/no-arch-row",
"detail": "[C0] no-arch-row", "is_gate_only": True,
}
(d / "manifest.json").write_text(json.dumps(gm, indent=2),
encoding="utf-8")
(d / "pt1-gate.json").write_text(json.dumps(gp, indent=2),
encoding="utf-8")
return d
g1 = write_gate(tmp / "g1")
fg = read_gate_bundle(g1)
check(isinstance(fg, FInputGate),
"read_gate_bundle: schema==2 -> FInputGate")
check(isinstance(fg, BaseCaptureBundle),
"FInputGate satisfies BaseCaptureBundle (protocol — F2/F5 consume "
"it through the same surface)")
check(fg.pt2_download is None and fg.pt3_boot is None
and fg.pt4_smoke is None and fg.pt5_override is None,
"FInputGate: pt2-5 are None (gate-only terminated pre-download — "
"satisfies the Optional[dict] protocol slots)")
check(fg.is_gate_only is True and fg.outcome == "hard-block"
and fg.failure_class is None
and fg.abort_reason == "engine-support-unknown/no-arch-row",
"FInputGate: is_gate_only / outcome / failure_class / abort_reason")
check(fg.arch_family is None and fg.model_id == "Org/Gate-Model"
and fg.quant_label == "none",
"FInputGate: arch null pre-deriver, model_id the slug, quant_label "
"_norm_quant(None)=='none' (same defensive discipline as FInput)")
# dedup_tuple uses .get(k,None) — crash-safe on the degraded manifest;
# the null-topology hash is DETERMINISTIC + stable (CONTRACT-1.1).
dtg = fg.dedup_tuple()
check(isinstance(dtg, tuple) and len(dtg) == 7 and dtg[5] is None
and dtg[6] is None,
f"FInputGate.dedup_tuple(): 7-tuple, .get-tolerant, fc+topo None "
f"(got {dtg})")
dhg1 = fg.dedup_hash()
dhg2 = read_gate_bundle(g1).dedup_hash()
_exp_g = _hl.sha256("\x1f".join(str(p) for p in (
"Org/Gate-Model", "none", None, None, None, None, None))
.encode("utf-8")).hexdigest()[:12]
check(dhg1 == dhg2 == _exp_g,
f"FInputGate.dedup_hash(): DETERMINISTIC with null topology "
f"(str(None)=='None'); stable across reads (got {dhg1})")
# Schema mismatch: read_gate_bundle rejects schema==1; read_capture_bundle
# rejects schema==2 (the two readers are strictly separate).
raises(lambda: read_gate_bundle(b1),
"read_gate_bundle rejects a schema==1 bundle (schema!=2)")
raises(lambda: read_capture_bundle(g1),
"read_capture_bundle rejects a schema==2 gate bundle (untouched "
"schema==1 path stays strict)")
# read_gate_bundle MUST NOT reuse the 22-key validator: a gate manifest
# WITHOUT the post-C0 keys still parses (it only requires the always-
# present row). And the [F]-classifies invariant is enforced.
g_bad_oc = write_gate(tmp / "gbo", manifest={
"schema": 2, "slug": "x", "utc_ts": "t", "club3090_commit": "c",
"outcome": "ok", "abort_reason": "hard-block", "failure_class": None})
raises(lambda: read_gate_bundle(g_bad_oc),
"read_gate_bundle rejects outcome != 'hard-block'")
g_bad_fc = write_gate(tmp / "gbf", manifest={
"schema": 2, "slug": "x", "utc_ts": "t", "club3090_commit": "c",
"outcome": "hard-block", "abort_reason": "hard-block",
"failure_class": "genuine-oom"})
raises(lambda: read_gate_bundle(g_bad_fc),
"read_gate_bundle rejects a non-null failure_class (the gate "
"emitter NEVER classifies — [F]'s job)")
g_min = write_gate(tmp / "gmin", manifest={
"schema": 2, "slug": "x", "utc_ts": "t", "club3090_commit": "c",
"outcome": "hard-block", "abort_reason": "disk-short",
"failure_class": None})
check(isinstance(read_gate_bundle(g_min), FInputGate),
"read_gate_bundle: a MINIMAL always-present-row-only manifest "
"parses (does NOT reuse the 22-key schema-1 _require_keys)")
# ---------------------------------------------------------------------------
# 8. REAL on-disk capture dir(s) under .pull-captures/ (skip if none).
# ---------------------------------------------------------------------------
real_root = root / ".pull-captures"
real_dirs: list[Path] = []
if real_root.is_dir():
for slug_dir in sorted(real_root.iterdir()):
if not slug_dir.is_dir() or slug_dir.name.startswith("_"):
continue
for ts_dir in sorted(slug_dir.iterdir()):
if ts_dir.is_dir() and (ts_dir / "manifest.json").is_file():
real_dirs.append(ts_dir)
if not real_dirs:
print("SKIP: no real on-disk .pull-captures/ bundle to parse "
"(graceful — not a failure)")
else:
for rd in real_dirs:
try:
manifest = json.loads((rd / "manifest.json").read_text())
schema = manifest.get("schema")
if schema == 1:
rfi = read_capture_bundle(rd)
ok = (
isinstance(rfi, FInput)
and rfi.manifest["schema"] == 1
and rfi.failure_class is None
and len(rfi.consensus_key()) == 9
and len(rfi.dedup_tuple()) == 7
and len(rfi.dedup_hash()) == 12
# CONTRACT-5 G1: live topology serialized (full GPU name).
and isinstance(
rfi.manifest["topology_summary_canonical"], str)
)
check(ok, f"REAL [E] capture parses + keys build: {rd.name} "
f"(model={rfi.model_id!r})")
elif schema == 2:
gfi = read_gate_bundle(rd)
ok = (
isinstance(gfi, FInputGate)
and gfi.manifest["schema"] == 2
and gfi.failure_class is None
and gfi.is_gate_only is True
)
check(ok, f"REAL gate capture parses: {rd.name} "
f"(model={gfi.model_id!r})")
else:
check(False, f"REAL capture {rd} has unsupported schema "
f"{schema!r}")
except Exception as exc:
check(False, f"REAL capture {rd} failed to parse: {exc!r}")
# ---------------------------------------------------------------------------
if failures:
print(f"\n{len(failures)} assertion(s) failed.", file=sys.stderr)
sys.exit(1)
print("\nAll F1 FInput capture-bundle reader (CONTRACT-1) assertions "
"passed.")
PY
echo "test-loop-input.sh OK"