FAILURE MAP
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FA-56081 / Astronomical coordinate conventions / Open access

Heterodyne sideband coordinate: Image-sideband coordinate is confused with the selected sky band · case 01

The adapter reports an incorrect image frequency while other fields remain valid.

Verified by executionVariant 1 · 6 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Image-sideband coordinate is confused with the selected sky band. Faulty expression: d['L']+d['s']*d['I']

THE FAILURE

Image-sideband coordinate is confused with the selected sky band. Faulty expression: d['L']+d['s']*d['I']

Unsuccessful approach: A partial convention repair still uses 2*d['L']+d['s']*d['I']

Case contract

A radio receiver provides positive local oscillator L, intermediate frequency I, signed IF channel step d, sideband s equal +1 or -1, second mixer offset m, and source rest frequency R. Sky frequency is L+s*I; image sideband is L-s*I. This is exact mixer bookkeeping only. Output fields are defined by: sky_frequency = d['L']+d['s']*d['I']; sky_increment = d['s']*d['d']; image_frequency = d['L']-d['s']*d['I']; second_conversion = d['L']+d['s']*(d['I']+d['m']); rest_offset = d['L']+d['s']*d['I']-d['R']; inverse_if = d['s']*(d['R']-d['L'])

Why this case matters

Catalog, detector, sky-coordinate, and spectroscopy adapters must preserve the association between numeric coordinates and their declared reference conventions.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(d):
    return {'sky_frequency': d['L']+d['s']*d['I'], 'sky_increment': d['s']*d['d'], 'image_frequency': d['L']+d['s']*d['I'], 'second_conversion': d['L']+d['s']*(d['I']+d['m']), 'rest_offset': d['L']+d['s']*d['I']-d['R'], 'inverse_if': d['s']*(d['R']-d['L'])}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'L': 100, 'I': 10, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 90, 'sky_increment': -2, 'image_frequency': 110, 'second_conversion': 87, 'rest_offset': -30, 'inverse_if': -20}), ({'L': 100, 'I': 10, 'd': 2, 's': 1, 'm': 3, 'R': 120}, {'sky_frequency': 110, 'sky_increment': 2, 'image_frequency': 90, 'second_conversion': 113, 'rest_offset': -10, 'inverse_if': 20}), ({'L': 100, 'I': 0, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 100, 'sky_increment': -2, 'image_frequency': 100, 'second_conversion': 97, 'rest_offset': -20, 'inverse_if': -20}), ({'L': 100, 'I': 10, 'd': -2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 90, 'sky_increment': 2, 'image_frequency': 110, 'second_conversion': 87, 'rest_offset': -30, 'inverse_if': -20}), ({'L': 100, 'I': 10, 'd': 2, 's': -1, 'm': 0, 'R': 120}, {'sky_frequency': 90, 'sky_increment': -2, 'image_frequency': 110, 'second_conversion': 90, 'rest_offset': -30, 'inverse_if': -20}), ({'L': 200, 'I': 10, 'd': 2, 's': -1, 'm': 3, 'R': 250}, {'sky_frequency': 190, 'sky_increment': -2, 'image_frequency': 210, 'second_conversion': 187, 'rest_offset': -60, 'inverse_if': -50})], 2: [({'L': 100, 'I': 11, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 89, 'sky_increment': -2, 'image_frequency': 111, 'second_conversion': 86, 'rest_offset': -31, 'inverse_if': -20}), ({'L': 100, 'I': 11, 'd': 2, 's': 1, 'm': 3, 'R': 120}, {'sky_frequency': 111, 'sky_increment': 2, 'image_frequency': 89, 'second_conversion': 114, 'rest_offset': -9, 'inverse_if': 20}), ({'L': 100, 'I': 1, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 99, 'sky_increment': -2, 'image_frequency': 101, 'second_conversion': 96, 'rest_offset': -21, 'inverse_if': -20}), ({'L': 100, 'I': 11, 'd': -2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 89, 'sky_increment': 2, 'image_frequency': 111, 'second_conversion': 86, 'rest_offset': -31, 'inverse_if': -20}), ({'L': 100, 'I': 11, 'd': 2, 's': -1, 'm': 0, 'R': 120}, {'sky_frequency': 89, 'sky_increment': -2, 'image_frequency': 111, 'second_conversion': 89, 'rest_offset': -31, 'inverse_if': -20}), ({'L': 200, 'I': 11, 'd': 2, 's': -1, 'm': 3, 'R': 250}, {'sky_frequency': 189, 'sky_increment': -2, 'image_frequency': 211, 'second_conversion': 186, 'rest_offset': -61, 'inverse_if': -50})], 3: [({'L': 100, 'I': 12, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 88, 'sky_increment': -2, 'image_frequency': 112, 'second_conversion': 85, 'rest_offset': -32, 'inverse_if': -20}), ({'L': 100, 'I': 12, 'd': 2, 's': 1, 'm': 3, 'R': 120}, {'sky_frequency': 112, 'sky_increment': 2, 'image_frequency': 88, 'second_conversion': 115, 'rest_offset': -8, 'inverse_if': 20}), ({'L': 100, 'I': 2, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 98, 'sky_increment': -2, 'image_frequency': 102, 'second_conversion': 95, 'rest_offset': -22, 'inverse_if': -20}), ({'L': 100, 'I': 12, 'd': -2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 88, 'sky_increment': 2, 'image_frequency': 112, 'second_conversion': 85, 'rest_offset': -32, 'inverse_if': -20}), ({'L': 100, 'I': 12, 'd': 2, 's': -1, 'm': 0, 'R': 120}, {'sky_frequency': 88, 'sky_increment': -2, 'image_frequency': 112, 'second_conversion': 88, 'rest_offset': -32, 'inverse_if': -20}), ({'L': 200, 'I': 12, 'd': 2, 's': -1, 'm': 3, 'R': 250}, {'sky_frequency': 188, 'sky_increment': -2, 'image_frequency': 212, 'second_conversion': 185, 'rest_offset': -62, 'inverse_if': -50})], 4: [({'L': 100, 'I': 13, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 87, 'sky_increment': -2, 'image_frequency': 113, 'second_conversion': 84, 'rest_offset': -33, 'inverse_if': -20}), ({'L': 100, 'I': 13, 'd': 2, 's': 1, 'm': 3, 'R': 120}, {'sky_frequency': 113, 'sky_increment': 2, 'image_frequency': 87, 'second_conversion': 116, 'rest_offset': -7, 'inverse_if': 20}), ({'L': 100, 'I': 3, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 97, 'sky_increment': -2, 'image_frequency': 103, 'second_conversion': 94, 'rest_offset': -23, 'inverse_if': -20}), ({'L': 100, 'I': 13, 'd': -2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 87, 'sky_increment': 2, 'image_frequency': 113, 'second_conversion': 84, 'rest_offset': -33, 'inverse_if': -20}), ({'L': 100, 'I': 13, 'd': 2, 's': -1, 'm': 0, 'R': 120}, {'sky_frequency': 87, 'sky_increment': -2, 'image_frequency': 113, 'second_conversion': 87, 'rest_offset': -33, 'inverse_if': -20}), ({'L': 200, 'I': 13, 'd': 2, 's': -1, 'm': 3, 'R': 250}, {'sky_frequency': 187, 'sky_increment': -2, 'image_frequency': 213, 'second_conversion': 184, 'rest_offset': -63, 'inverse_if': -50})], 5: [({'L': 100, 'I': 14, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 86, 'sky_increment': -2, 'image_frequency': 114, 'second_conversion': 83, 'rest_offset': -34, 'inverse_if': -20}), ({'L': 100, 'I': 14, 'd': 2, 's': 1, 'm': 3, 'R': 120}, {'sky_frequency': 114, 'sky_increment': 2, 'image_frequency': 86, 'second_conversion': 117, 'rest_offset': -6, 'inverse_if': 20}), ({'L': 100, 'I': 4, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 96, 'sky_increment': -2, 'image_frequency': 104, 'second_conversion': 93, 'rest_offset': -24, 'inverse_if': -20}), ({'L': 100, 'I': 14, 'd': -2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 86, 'sky_increment': 2, 'image_frequency': 114, 'second_conversion': 83, 'rest_offset': -34, 'inverse_if': -20}), ({'L': 100, 'I': 14, 'd': 2, 's': -1, 'm': 0, 'R': 120}, {'sky_frequency': 86, 'sky_increment': -2, 'image_frequency': 114, 'second_conversion': 86, 'rest_offset': -34, 'inverse_if': -20}), ({'L': 200, 'I': 14, 'd': 2, 's': -1, 'm': 3, 'R': 250}, {'sky_frequency': 186, 'sky_increment': -2, 'image_frequency': 214, 'second_conversion': 183, 'rest_offset': -64, 'inverse_if': -50})]}
for i, (record, expected) in enumerate(fixtures[N]):
    check('astronomical fixture %s' % i, solve(record), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
astronomical fixture 0{'image_frequency': 90, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 87, 'sky_frequency': 90, 'sky_increment': -2}{'image_frequency': 110, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 87, 'sky_frequency': 90, 'sky_increment': -2}Failed
astronomical fixture 1{'image_frequency': 110, 'inverse_if': 20, 'rest_offset': -10, 'second_conversion': 113, 'sky_frequency': 110, 'sky_increment': 2}{'image_frequency': 90, 'inverse_if': 20, 'rest_offset': -10, 'second_conversion': 113, 'sky_frequency': 110, 'sky_increment': 2}Failed
astronomical fixture 2{'image_frequency': 100, 'inverse_if': -20, 'rest_offset': -20, 'second_conversion': 97, 'sky_frequency': 100, 'sky_increment': -2}{'image_frequency': 100, 'inverse_if': -20, 'rest_offset': -20, 'second_conversion': 97, 'sky_frequency': 100, 'sky_increment': -2}Passed
astronomical fixture 3{'image_frequency': 90, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 87, 'sky_frequency': 90, 'sky_increment': 2}{'image_frequency': 110, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 87, 'sky_frequency': 90, 'sky_increment': 2}Failed
astronomical fixture 4{'image_frequency': 90, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 90, 'sky_frequency': 90, 'sky_increment': -2}{'image_frequency': 110, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 90, 'sky_frequency': 90, 'sky_increment': -2}Failed
astronomical fixture 5{'image_frequency': 190, 'inverse_if': -50, 'rest_offset': -60, 'second_conversion': 187, 'sky_frequency': 190, 'sky_increment': -2}{'image_frequency': 210, 'inverse_if': -50, 'rest_offset': -60, 'second_conversion': 187, 'sky_frequency': 190, 'sky_increment': -2}Failed

SHA-256 / 969336c69ca90bc04829b056a936045e321b77c12c86dac6f0ebfa883089b0f3

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(d):
    return {'sky_frequency': d['L']+d['s']*d['I'], 'sky_increment': d['s']*d['d'], 'image_frequency': 2*d['L']+d['s']*d['I'], 'second_conversion': d['L']+d['s']*(d['I']+d['m']), 'rest_offset': d['L']+d['s']*d['I']-d['R'], 'inverse_if': d['s']*(d['R']-d['L'])}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'L': 100, 'I': 10, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 90, 'sky_increment': -2, 'image_frequency': 110, 'second_conversion': 87, 'rest_offset': -30, 'inverse_if': -20}), ({'L': 100, 'I': 10, 'd': 2, 's': 1, 'm': 3, 'R': 120}, {'sky_frequency': 110, 'sky_increment': 2, 'image_frequency': 90, 'second_conversion': 113, 'rest_offset': -10, 'inverse_if': 20}), ({'L': 100, 'I': 0, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 100, 'sky_increment': -2, 'image_frequency': 100, 'second_conversion': 97, 'rest_offset': -20, 'inverse_if': -20}), ({'L': 100, 'I': 10, 'd': -2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 90, 'sky_increment': 2, 'image_frequency': 110, 'second_conversion': 87, 'rest_offset': -30, 'inverse_if': -20}), ({'L': 100, 'I': 10, 'd': 2, 's': -1, 'm': 0, 'R': 120}, {'sky_frequency': 90, 'sky_increment': -2, 'image_frequency': 110, 'second_conversion': 90, 'rest_offset': -30, 'inverse_if': -20}), ({'L': 200, 'I': 10, 'd': 2, 's': -1, 'm': 3, 'R': 250}, {'sky_frequency': 190, 'sky_increment': -2, 'image_frequency': 210, 'second_conversion': 187, 'rest_offset': -60, 'inverse_if': -50})], 2: [({'L': 100, 'I': 11, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 89, 'sky_increment': -2, 'image_frequency': 111, 'second_conversion': 86, 'rest_offset': -31, 'inverse_if': -20}), ({'L': 100, 'I': 11, 'd': 2, 's': 1, 'm': 3, 'R': 120}, {'sky_frequency': 111, 'sky_increment': 2, 'image_frequency': 89, 'second_conversion': 114, 'rest_offset': -9, 'inverse_if': 20}), ({'L': 100, 'I': 1, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 99, 'sky_increment': -2, 'image_frequency': 101, 'second_conversion': 96, 'rest_offset': -21, 'inverse_if': -20}), ({'L': 100, 'I': 11, 'd': -2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 89, 'sky_increment': 2, 'image_frequency': 111, 'second_conversion': 86, 'rest_offset': -31, 'inverse_if': -20}), ({'L': 100, 'I': 11, 'd': 2, 's': -1, 'm': 0, 'R': 120}, {'sky_frequency': 89, 'sky_increment': -2, 'image_frequency': 111, 'second_conversion': 89, 'rest_offset': -31, 'inverse_if': -20}), ({'L': 200, 'I': 11, 'd': 2, 's': -1, 'm': 3, 'R': 250}, {'sky_frequency': 189, 'sky_increment': -2, 'image_frequency': 211, 'second_conversion': 186, 'rest_offset': -61, 'inverse_if': -50})], 3: [({'L': 100, 'I': 12, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 88, 'sky_increment': -2, 'image_frequency': 112, 'second_conversion': 85, 'rest_offset': -32, 'inverse_if': -20}), ({'L': 100, 'I': 12, 'd': 2, 's': 1, 'm': 3, 'R': 120}, {'sky_frequency': 112, 'sky_increment': 2, 'image_frequency': 88, 'second_conversion': 115, 'rest_offset': -8, 'inverse_if': 20}), ({'L': 100, 'I': 2, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 98, 'sky_increment': -2, 'image_frequency': 102, 'second_conversion': 95, 'rest_offset': -22, 'inverse_if': -20}), ({'L': 100, 'I': 12, 'd': -2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 88, 'sky_increment': 2, 'image_frequency': 112, 'second_conversion': 85, 'rest_offset': -32, 'inverse_if': -20}), ({'L': 100, 'I': 12, 'd': 2, 's': -1, 'm': 0, 'R': 120}, {'sky_frequency': 88, 'sky_increment': -2, 'image_frequency': 112, 'second_conversion': 88, 'rest_offset': -32, 'inverse_if': -20}), ({'L': 200, 'I': 12, 'd': 2, 's': -1, 'm': 3, 'R': 250}, {'sky_frequency': 188, 'sky_increment': -2, 'image_frequency': 212, 'second_conversion': 185, 'rest_offset': -62, 'inverse_if': -50})], 4: [({'L': 100, 'I': 13, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 87, 'sky_increment': -2, 'image_frequency': 113, 'second_conversion': 84, 'rest_offset': -33, 'inverse_if': -20}), ({'L': 100, 'I': 13, 'd': 2, 's': 1, 'm': 3, 'R': 120}, {'sky_frequency': 113, 'sky_increment': 2, 'image_frequency': 87, 'second_conversion': 116, 'rest_offset': -7, 'inverse_if': 20}), ({'L': 100, 'I': 3, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 97, 'sky_increment': -2, 'image_frequency': 103, 'second_conversion': 94, 'rest_offset': -23, 'inverse_if': -20}), ({'L': 100, 'I': 13, 'd': -2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 87, 'sky_increment': 2, 'image_frequency': 113, 'second_conversion': 84, 'rest_offset': -33, 'inverse_if': -20}), ({'L': 100, 'I': 13, 'd': 2, 's': -1, 'm': 0, 'R': 120}, {'sky_frequency': 87, 'sky_increment': -2, 'image_frequency': 113, 'second_conversion': 87, 'rest_offset': -33, 'inverse_if': -20}), ({'L': 200, 'I': 13, 'd': 2, 's': -1, 'm': 3, 'R': 250}, {'sky_frequency': 187, 'sky_increment': -2, 'image_frequency': 213, 'second_conversion': 184, 'rest_offset': -63, 'inverse_if': -50})], 5: [({'L': 100, 'I': 14, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 86, 'sky_increment': -2, 'image_frequency': 114, 'second_conversion': 83, 'rest_offset': -34, 'inverse_if': -20}), ({'L': 100, 'I': 14, 'd': 2, 's': 1, 'm': 3, 'R': 120}, {'sky_frequency': 114, 'sky_increment': 2, 'image_frequency': 86, 'second_conversion': 117, 'rest_offset': -6, 'inverse_if': 20}), ({'L': 100, 'I': 4, 'd': 2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 96, 'sky_increment': -2, 'image_frequency': 104, 'second_conversion': 93, 'rest_offset': -24, 'inverse_if': -20}), ({'L': 100, 'I': 14, 'd': -2, 's': -1, 'm': 3, 'R': 120}, {'sky_frequency': 86, 'sky_increment': 2, 'image_frequency': 114, 'second_conversion': 83, 'rest_offset': -34, 'inverse_if': -20}), ({'L': 100, 'I': 14, 'd': 2, 's': -1, 'm': 0, 'R': 120}, {'sky_frequency': 86, 'sky_increment': -2, 'image_frequency': 114, 'second_conversion': 86, 'rest_offset': -34, 'inverse_if': -20}), ({'L': 200, 'I': 14, 'd': 2, 's': -1, 'm': 3, 'R': 250}, {'sky_frequency': 186, 'sky_increment': -2, 'image_frequency': 214, 'second_conversion': 183, 'rest_offset': -64, 'inverse_if': -50})]}
for i, (record, expected) in enumerate(fixtures[N]):
    check('astronomical fixture %s' % i, solve(record), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
astronomical fixture 0{'image_frequency': 190, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 87, 'sky_frequency': 90, 'sky_increment': -2}{'image_frequency': 110, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 87, 'sky_frequency': 90, 'sky_increment': -2}Failed
astronomical fixture 1{'image_frequency': 210, 'inverse_if': 20, 'rest_offset': -10, 'second_conversion': 113, 'sky_frequency': 110, 'sky_increment': 2}{'image_frequency': 90, 'inverse_if': 20, 'rest_offset': -10, 'second_conversion': 113, 'sky_frequency': 110, 'sky_increment': 2}Failed
astronomical fixture 2{'image_frequency': 200, 'inverse_if': -20, 'rest_offset': -20, 'second_conversion': 97, 'sky_frequency': 100, 'sky_increment': -2}{'image_frequency': 100, 'inverse_if': -20, 'rest_offset': -20, 'second_conversion': 97, 'sky_frequency': 100, 'sky_increment': -2}Failed
astronomical fixture 3{'image_frequency': 190, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 87, 'sky_frequency': 90, 'sky_increment': 2}{'image_frequency': 110, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 87, 'sky_frequency': 90, 'sky_increment': 2}Failed
astronomical fixture 4{'image_frequency': 190, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 90, 'sky_frequency': 90, 'sky_increment': -2}{'image_frequency': 110, 'inverse_if': -20, 'rest_offset': -30, 'second_conversion': 90, 'sky_frequency': 90, 'sky_increment': -2}Failed
astronomical fixture 5{'image_frequency': 390, 'inverse_if': -50, 'rest_offset': -60, 'second_conversion': 187, 'sky_frequency': 190, 'sky_increment': -2}{'image_frequency': 210, 'inverse_if': -50, 'rest_offset': -60, 'second_conversion': 187, 'sky_frequency': 190, 'sky_increment': -2}Failed

SHA-256 / 1809d22584ee43b6a0e59990aaf64cdc10b515b34ee01d5e5a2ad0206ec0815c

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 6 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.

Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.

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Verification & scope

Explicitly stipulated finite algebraic adapter; no standards conformance, physical accuracy, or production-library claim. Inputs are the documented finite valid model domain. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.

Observations recorded using Python 3.12.14 at 2026-09-29T14:46:03.990140+00:00.

Case digest / fc414686e10901af664a1c5983ef8399c66e7903354f1e6ae41856d51be714ac