FAILURE MAP
← Case archive

FA-55226 / Astronomical coordinate conventions / Open access

Sidereal hour angle adapter: Meridian target conversion back to catalog RA applies the apparent correction twice · case 01

The adapter reports an incorrect meridian ra while other fields remain valid.

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

ROOT CAUSE

Meridian target conversion back to catalog RA applies the apparent correction twice. Faulty expression: (d['gmst']+d['lon']+d['eqeq']+d['dra'])%360

THE FAILURE

Meridian target conversion back to catalog RA applies the apparent correction twice. Faulty expression: (d['gmst']+d['lon']+d['eqeq']+d['dra'])%360

Unsuccessful approach: A partial convention repair still uses (d['gmst']+d['lon'])%360

Case contract

All angular values are exact model degrees. East longitude is positive. Local mean sidereal angle is gmst+lon, apparent sidereal includes eqeq, apparent RA is ra+dra. Hour angle is sidereal minus RA, normalized into [0,360). No Earth rotation is calculated. Output fields are defined by: local_mean = (d['gmst']+d['lon'])%360; local_apparent = (d['gmst']+d['lon']+d['eqeq'])%360; apparent_ra = (d['ra']+d['dra'])%360; mean_hour_angle = (d['gmst']+d['lon']-d['ra'])%360; apparent_hour_angle = (d['gmst']+d['lon']+d['eqeq']-d['ra']-d['dra'])%360; meridian_ra = (d['gmst']+d['lon']+d['eqeq']-d['dra'])%360

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 {'local_mean': (d['gmst']+d['lon'])%360, 'local_apparent': (d['gmst']+d['lon']+d['eqeq'])%360, 'apparent_ra': (d['ra']+d['dra'])%360, 'mean_hour_angle': (d['gmst']+d['lon']-d['ra'])%360, 'apparent_hour_angle': (d['gmst']+d['lon']+d['eqeq']-d['ra']-d['dra'])%360, 'meridian_ra': (d['gmst']+d['lon']+d['eqeq']+d['dra'])%360}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'gmst': 100, 'lon': 30, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 130, 'local_apparent': 132, 'apparent_ra': 53, 'mean_hour_angle': 80, 'apparent_hour_angle': 79, 'meridian_ra': 129}), ({'gmst': 100, 'lon': -40, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 60, 'local_apparent': 62, 'apparent_ra': 53, 'mean_hour_angle': 10, 'apparent_hour_angle': 9, 'meridian_ra': 59}), ({'gmst': 100, 'lon': 30, 'eqeq': 0, 'ra': 50, 'dra': 0}, {'local_mean': 130, 'local_apparent': 130, 'apparent_ra': 50, 'mean_hour_angle': 80, 'apparent_hour_angle': 80, 'meridian_ra': 130}), ({'gmst': 350, 'lon': 30, 'eqeq': 2, 'ra': 5, 'dra': 3}, {'local_mean': 20, 'local_apparent': 22, 'apparent_ra': 8, 'mean_hour_angle': 15, 'apparent_hour_angle': 14, 'meridian_ra': 19}), ({'gmst': 100, 'lon': 30, 'eqeq': 2, 'ra': 300, 'dra': 3}, {'local_mean': 130, 'local_apparent': 132, 'apparent_ra': 303, 'mean_hour_angle': 190, 'apparent_hour_angle': 189, 'meridian_ra': 129}), ({'gmst': 100, 'lon': 0, 'eqeq': -3, 'ra': 50, 'dra': -2}, {'local_mean': 100, 'local_apparent': 97, 'apparent_ra': 48, 'mean_hour_angle': 50, 'apparent_hour_angle': 49, 'meridian_ra': 99})], 2: [({'gmst': 101, 'lon': 30, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 131, 'local_apparent': 133, 'apparent_ra': 53, 'mean_hour_angle': 81, 'apparent_hour_angle': 80, 'meridian_ra': 130}), ({'gmst': 101, 'lon': -40, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 61, 'local_apparent': 63, 'apparent_ra': 53, 'mean_hour_angle': 11, 'apparent_hour_angle': 10, 'meridian_ra': 60}), ({'gmst': 101, 'lon': 30, 'eqeq': 0, 'ra': 50, 'dra': 0}, {'local_mean': 131, 'local_apparent': 131, 'apparent_ra': 50, 'mean_hour_angle': 81, 'apparent_hour_angle': 81, 'meridian_ra': 131}), ({'gmst': 351, 'lon': 30, 'eqeq': 2, 'ra': 5, 'dra': 3}, {'local_mean': 21, 'local_apparent': 23, 'apparent_ra': 8, 'mean_hour_angle': 16, 'apparent_hour_angle': 15, 'meridian_ra': 20}), ({'gmst': 101, 'lon': 30, 'eqeq': 2, 'ra': 300, 'dra': 3}, {'local_mean': 131, 'local_apparent': 133, 'apparent_ra': 303, 'mean_hour_angle': 191, 'apparent_hour_angle': 190, 'meridian_ra': 130}), ({'gmst': 101, 'lon': 0, 'eqeq': -3, 'ra': 50, 'dra': -2}, {'local_mean': 101, 'local_apparent': 98, 'apparent_ra': 48, 'mean_hour_angle': 51, 'apparent_hour_angle': 50, 'meridian_ra': 100})], 3: [({'gmst': 102, 'lon': 30, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 132, 'local_apparent': 134, 'apparent_ra': 53, 'mean_hour_angle': 82, 'apparent_hour_angle': 81, 'meridian_ra': 131}), ({'gmst': 102, 'lon': -40, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 62, 'local_apparent': 64, 'apparent_ra': 53, 'mean_hour_angle': 12, 'apparent_hour_angle': 11, 'meridian_ra': 61}), ({'gmst': 102, 'lon': 30, 'eqeq': 0, 'ra': 50, 'dra': 0}, {'local_mean': 132, 'local_apparent': 132, 'apparent_ra': 50, 'mean_hour_angle': 82, 'apparent_hour_angle': 82, 'meridian_ra': 132}), ({'gmst': 352, 'lon': 30, 'eqeq': 2, 'ra': 5, 'dra': 3}, {'local_mean': 22, 'local_apparent': 24, 'apparent_ra': 8, 'mean_hour_angle': 17, 'apparent_hour_angle': 16, 'meridian_ra': 21}), ({'gmst': 102, 'lon': 30, 'eqeq': 2, 'ra': 300, 'dra': 3}, {'local_mean': 132, 'local_apparent': 134, 'apparent_ra': 303, 'mean_hour_angle': 192, 'apparent_hour_angle': 191, 'meridian_ra': 131}), ({'gmst': 102, 'lon': 0, 'eqeq': -3, 'ra': 50, 'dra': -2}, {'local_mean': 102, 'local_apparent': 99, 'apparent_ra': 48, 'mean_hour_angle': 52, 'apparent_hour_angle': 51, 'meridian_ra': 101})], 4: [({'gmst': 103, 'lon': 30, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 133, 'local_apparent': 135, 'apparent_ra': 53, 'mean_hour_angle': 83, 'apparent_hour_angle': 82, 'meridian_ra': 132}), ({'gmst': 103, 'lon': -40, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 63, 'local_apparent': 65, 'apparent_ra': 53, 'mean_hour_angle': 13, 'apparent_hour_angle': 12, 'meridian_ra': 62}), ({'gmst': 103, 'lon': 30, 'eqeq': 0, 'ra': 50, 'dra': 0}, {'local_mean': 133, 'local_apparent': 133, 'apparent_ra': 50, 'mean_hour_angle': 83, 'apparent_hour_angle': 83, 'meridian_ra': 133}), ({'gmst': 353, 'lon': 30, 'eqeq': 2, 'ra': 5, 'dra': 3}, {'local_mean': 23, 'local_apparent': 25, 'apparent_ra': 8, 'mean_hour_angle': 18, 'apparent_hour_angle': 17, 'meridian_ra': 22}), ({'gmst': 103, 'lon': 30, 'eqeq': 2, 'ra': 300, 'dra': 3}, {'local_mean': 133, 'local_apparent': 135, 'apparent_ra': 303, 'mean_hour_angle': 193, 'apparent_hour_angle': 192, 'meridian_ra': 132}), ({'gmst': 103, 'lon': 0, 'eqeq': -3, 'ra': 50, 'dra': -2}, {'local_mean': 103, 'local_apparent': 100, 'apparent_ra': 48, 'mean_hour_angle': 53, 'apparent_hour_angle': 52, 'meridian_ra': 102})], 5: [({'gmst': 104, 'lon': 30, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 134, 'local_apparent': 136, 'apparent_ra': 53, 'mean_hour_angle': 84, 'apparent_hour_angle': 83, 'meridian_ra': 133}), ({'gmst': 104, 'lon': -40, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 64, 'local_apparent': 66, 'apparent_ra': 53, 'mean_hour_angle': 14, 'apparent_hour_angle': 13, 'meridian_ra': 63}), ({'gmst': 104, 'lon': 30, 'eqeq': 0, 'ra': 50, 'dra': 0}, {'local_mean': 134, 'local_apparent': 134, 'apparent_ra': 50, 'mean_hour_angle': 84, 'apparent_hour_angle': 84, 'meridian_ra': 134}), ({'gmst': 354, 'lon': 30, 'eqeq': 2, 'ra': 5, 'dra': 3}, {'local_mean': 24, 'local_apparent': 26, 'apparent_ra': 8, 'mean_hour_angle': 19, 'apparent_hour_angle': 18, 'meridian_ra': 23}), ({'gmst': 104, 'lon': 30, 'eqeq': 2, 'ra': 300, 'dra': 3}, {'local_mean': 134, 'local_apparent': 136, 'apparent_ra': 303, 'mean_hour_angle': 194, 'apparent_hour_angle': 193, 'meridian_ra': 133}), ({'gmst': 104, 'lon': 0, 'eqeq': -3, 'ra': 50, 'dra': -2}, {'local_mean': 104, 'local_apparent': 101, 'apparent_ra': 48, 'mean_hour_angle': 54, 'apparent_hour_angle': 53, 'meridian_ra': 103})]}
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{'apparent_hour_angle': 79, 'apparent_ra': 53, 'local_apparent': 132, 'local_mean': 130, 'mean_hour_angle': 80, 'meridian_ra': 135}{'apparent_hour_angle': 79, 'apparent_ra': 53, 'local_apparent': 132, 'local_mean': 130, 'mean_hour_angle': 80, 'meridian_ra': 129}Failed
astronomical fixture 1{'apparent_hour_angle': 9, 'apparent_ra': 53, 'local_apparent': 62, 'local_mean': 60, 'mean_hour_angle': 10, 'meridian_ra': 65}{'apparent_hour_angle': 9, 'apparent_ra': 53, 'local_apparent': 62, 'local_mean': 60, 'mean_hour_angle': 10, 'meridian_ra': 59}Failed
astronomical fixture 2{'apparent_hour_angle': 80, 'apparent_ra': 50, 'local_apparent': 130, 'local_mean': 130, 'mean_hour_angle': 80, 'meridian_ra': 130}{'apparent_hour_angle': 80, 'apparent_ra': 50, 'local_apparent': 130, 'local_mean': 130, 'mean_hour_angle': 80, 'meridian_ra': 130}Passed
astronomical fixture 3{'apparent_hour_angle': 14, 'apparent_ra': 8, 'local_apparent': 22, 'local_mean': 20, 'mean_hour_angle': 15, 'meridian_ra': 25}{'apparent_hour_angle': 14, 'apparent_ra': 8, 'local_apparent': 22, 'local_mean': 20, 'mean_hour_angle': 15, 'meridian_ra': 19}Failed
astronomical fixture 4{'apparent_hour_angle': 189, 'apparent_ra': 303, 'local_apparent': 132, 'local_mean': 130, 'mean_hour_angle': 190, 'meridian_ra': 135}{'apparent_hour_angle': 189, 'apparent_ra': 303, 'local_apparent': 132, 'local_mean': 130, 'mean_hour_angle': 190, 'meridian_ra': 129}Failed
astronomical fixture 5{'apparent_hour_angle': 49, 'apparent_ra': 48, 'local_apparent': 97, 'local_mean': 100, 'mean_hour_angle': 50, 'meridian_ra': 95}{'apparent_hour_angle': 49, 'apparent_ra': 48, 'local_apparent': 97, 'local_mean': 100, 'mean_hour_angle': 50, 'meridian_ra': 99}Failed

SHA-256 / ca254e7f54075dfdbcfc940378d191c7fdb77af47c606405b351036c23dfb65f

2 / The unsuccessful fix

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

N = 1
observations = []
def solve(d):
    return {'local_mean': (d['gmst']+d['lon'])%360, 'local_apparent': (d['gmst']+d['lon']+d['eqeq'])%360, 'apparent_ra': (d['ra']+d['dra'])%360, 'mean_hour_angle': (d['gmst']+d['lon']-d['ra'])%360, 'apparent_hour_angle': (d['gmst']+d['lon']+d['eqeq']-d['ra']-d['dra'])%360, 'meridian_ra': (d['gmst']+d['lon'])%360}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'gmst': 100, 'lon': 30, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 130, 'local_apparent': 132, 'apparent_ra': 53, 'mean_hour_angle': 80, 'apparent_hour_angle': 79, 'meridian_ra': 129}), ({'gmst': 100, 'lon': -40, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 60, 'local_apparent': 62, 'apparent_ra': 53, 'mean_hour_angle': 10, 'apparent_hour_angle': 9, 'meridian_ra': 59}), ({'gmst': 100, 'lon': 30, 'eqeq': 0, 'ra': 50, 'dra': 0}, {'local_mean': 130, 'local_apparent': 130, 'apparent_ra': 50, 'mean_hour_angle': 80, 'apparent_hour_angle': 80, 'meridian_ra': 130}), ({'gmst': 350, 'lon': 30, 'eqeq': 2, 'ra': 5, 'dra': 3}, {'local_mean': 20, 'local_apparent': 22, 'apparent_ra': 8, 'mean_hour_angle': 15, 'apparent_hour_angle': 14, 'meridian_ra': 19}), ({'gmst': 100, 'lon': 30, 'eqeq': 2, 'ra': 300, 'dra': 3}, {'local_mean': 130, 'local_apparent': 132, 'apparent_ra': 303, 'mean_hour_angle': 190, 'apparent_hour_angle': 189, 'meridian_ra': 129}), ({'gmst': 100, 'lon': 0, 'eqeq': -3, 'ra': 50, 'dra': -2}, {'local_mean': 100, 'local_apparent': 97, 'apparent_ra': 48, 'mean_hour_angle': 50, 'apparent_hour_angle': 49, 'meridian_ra': 99})], 2: [({'gmst': 101, 'lon': 30, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 131, 'local_apparent': 133, 'apparent_ra': 53, 'mean_hour_angle': 81, 'apparent_hour_angle': 80, 'meridian_ra': 130}), ({'gmst': 101, 'lon': -40, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 61, 'local_apparent': 63, 'apparent_ra': 53, 'mean_hour_angle': 11, 'apparent_hour_angle': 10, 'meridian_ra': 60}), ({'gmst': 101, 'lon': 30, 'eqeq': 0, 'ra': 50, 'dra': 0}, {'local_mean': 131, 'local_apparent': 131, 'apparent_ra': 50, 'mean_hour_angle': 81, 'apparent_hour_angle': 81, 'meridian_ra': 131}), ({'gmst': 351, 'lon': 30, 'eqeq': 2, 'ra': 5, 'dra': 3}, {'local_mean': 21, 'local_apparent': 23, 'apparent_ra': 8, 'mean_hour_angle': 16, 'apparent_hour_angle': 15, 'meridian_ra': 20}), ({'gmst': 101, 'lon': 30, 'eqeq': 2, 'ra': 300, 'dra': 3}, {'local_mean': 131, 'local_apparent': 133, 'apparent_ra': 303, 'mean_hour_angle': 191, 'apparent_hour_angle': 190, 'meridian_ra': 130}), ({'gmst': 101, 'lon': 0, 'eqeq': -3, 'ra': 50, 'dra': -2}, {'local_mean': 101, 'local_apparent': 98, 'apparent_ra': 48, 'mean_hour_angle': 51, 'apparent_hour_angle': 50, 'meridian_ra': 100})], 3: [({'gmst': 102, 'lon': 30, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 132, 'local_apparent': 134, 'apparent_ra': 53, 'mean_hour_angle': 82, 'apparent_hour_angle': 81, 'meridian_ra': 131}), ({'gmst': 102, 'lon': -40, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 62, 'local_apparent': 64, 'apparent_ra': 53, 'mean_hour_angle': 12, 'apparent_hour_angle': 11, 'meridian_ra': 61}), ({'gmst': 102, 'lon': 30, 'eqeq': 0, 'ra': 50, 'dra': 0}, {'local_mean': 132, 'local_apparent': 132, 'apparent_ra': 50, 'mean_hour_angle': 82, 'apparent_hour_angle': 82, 'meridian_ra': 132}), ({'gmst': 352, 'lon': 30, 'eqeq': 2, 'ra': 5, 'dra': 3}, {'local_mean': 22, 'local_apparent': 24, 'apparent_ra': 8, 'mean_hour_angle': 17, 'apparent_hour_angle': 16, 'meridian_ra': 21}), ({'gmst': 102, 'lon': 30, 'eqeq': 2, 'ra': 300, 'dra': 3}, {'local_mean': 132, 'local_apparent': 134, 'apparent_ra': 303, 'mean_hour_angle': 192, 'apparent_hour_angle': 191, 'meridian_ra': 131}), ({'gmst': 102, 'lon': 0, 'eqeq': -3, 'ra': 50, 'dra': -2}, {'local_mean': 102, 'local_apparent': 99, 'apparent_ra': 48, 'mean_hour_angle': 52, 'apparent_hour_angle': 51, 'meridian_ra': 101})], 4: [({'gmst': 103, 'lon': 30, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 133, 'local_apparent': 135, 'apparent_ra': 53, 'mean_hour_angle': 83, 'apparent_hour_angle': 82, 'meridian_ra': 132}), ({'gmst': 103, 'lon': -40, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 63, 'local_apparent': 65, 'apparent_ra': 53, 'mean_hour_angle': 13, 'apparent_hour_angle': 12, 'meridian_ra': 62}), ({'gmst': 103, 'lon': 30, 'eqeq': 0, 'ra': 50, 'dra': 0}, {'local_mean': 133, 'local_apparent': 133, 'apparent_ra': 50, 'mean_hour_angle': 83, 'apparent_hour_angle': 83, 'meridian_ra': 133}), ({'gmst': 353, 'lon': 30, 'eqeq': 2, 'ra': 5, 'dra': 3}, {'local_mean': 23, 'local_apparent': 25, 'apparent_ra': 8, 'mean_hour_angle': 18, 'apparent_hour_angle': 17, 'meridian_ra': 22}), ({'gmst': 103, 'lon': 30, 'eqeq': 2, 'ra': 300, 'dra': 3}, {'local_mean': 133, 'local_apparent': 135, 'apparent_ra': 303, 'mean_hour_angle': 193, 'apparent_hour_angle': 192, 'meridian_ra': 132}), ({'gmst': 103, 'lon': 0, 'eqeq': -3, 'ra': 50, 'dra': -2}, {'local_mean': 103, 'local_apparent': 100, 'apparent_ra': 48, 'mean_hour_angle': 53, 'apparent_hour_angle': 52, 'meridian_ra': 102})], 5: [({'gmst': 104, 'lon': 30, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 134, 'local_apparent': 136, 'apparent_ra': 53, 'mean_hour_angle': 84, 'apparent_hour_angle': 83, 'meridian_ra': 133}), ({'gmst': 104, 'lon': -40, 'eqeq': 2, 'ra': 50, 'dra': 3}, {'local_mean': 64, 'local_apparent': 66, 'apparent_ra': 53, 'mean_hour_angle': 14, 'apparent_hour_angle': 13, 'meridian_ra': 63}), ({'gmst': 104, 'lon': 30, 'eqeq': 0, 'ra': 50, 'dra': 0}, {'local_mean': 134, 'local_apparent': 134, 'apparent_ra': 50, 'mean_hour_angle': 84, 'apparent_hour_angle': 84, 'meridian_ra': 134}), ({'gmst': 354, 'lon': 30, 'eqeq': 2, 'ra': 5, 'dra': 3}, {'local_mean': 24, 'local_apparent': 26, 'apparent_ra': 8, 'mean_hour_angle': 19, 'apparent_hour_angle': 18, 'meridian_ra': 23}), ({'gmst': 104, 'lon': 30, 'eqeq': 2, 'ra': 300, 'dra': 3}, {'local_mean': 134, 'local_apparent': 136, 'apparent_ra': 303, 'mean_hour_angle': 194, 'apparent_hour_angle': 193, 'meridian_ra': 133}), ({'gmst': 104, 'lon': 0, 'eqeq': -3, 'ra': 50, 'dra': -2}, {'local_mean': 104, 'local_apparent': 101, 'apparent_ra': 48, 'mean_hour_angle': 54, 'apparent_hour_angle': 53, 'meridian_ra': 103})]}
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{'apparent_hour_angle': 79, 'apparent_ra': 53, 'local_apparent': 132, 'local_mean': 130, 'mean_hour_angle': 80, 'meridian_ra': 130}{'apparent_hour_angle': 79, 'apparent_ra': 53, 'local_apparent': 132, 'local_mean': 130, 'mean_hour_angle': 80, 'meridian_ra': 129}Failed
astronomical fixture 1{'apparent_hour_angle': 9, 'apparent_ra': 53, 'local_apparent': 62, 'local_mean': 60, 'mean_hour_angle': 10, 'meridian_ra': 60}{'apparent_hour_angle': 9, 'apparent_ra': 53, 'local_apparent': 62, 'local_mean': 60, 'mean_hour_angle': 10, 'meridian_ra': 59}Failed
astronomical fixture 2{'apparent_hour_angle': 80, 'apparent_ra': 50, 'local_apparent': 130, 'local_mean': 130, 'mean_hour_angle': 80, 'meridian_ra': 130}{'apparent_hour_angle': 80, 'apparent_ra': 50, 'local_apparent': 130, 'local_mean': 130, 'mean_hour_angle': 80, 'meridian_ra': 130}Passed
astronomical fixture 3{'apparent_hour_angle': 14, 'apparent_ra': 8, 'local_apparent': 22, 'local_mean': 20, 'mean_hour_angle': 15, 'meridian_ra': 20}{'apparent_hour_angle': 14, 'apparent_ra': 8, 'local_apparent': 22, 'local_mean': 20, 'mean_hour_angle': 15, 'meridian_ra': 19}Failed
astronomical fixture 4{'apparent_hour_angle': 189, 'apparent_ra': 303, 'local_apparent': 132, 'local_mean': 130, 'mean_hour_angle': 190, 'meridian_ra': 130}{'apparent_hour_angle': 189, 'apparent_ra': 303, 'local_apparent': 132, 'local_mean': 130, 'mean_hour_angle': 190, 'meridian_ra': 129}Failed
astronomical fixture 5{'apparent_hour_angle': 49, 'apparent_ra': 48, 'local_apparent': 97, 'local_mean': 100, 'mean_hour_angle': 50, 'meridian_ra': 100}{'apparent_hour_angle': 49, 'apparent_ra': 48, 'local_apparent': 97, 'local_mean': 100, 'mean_hour_angle': 50, 'meridian_ra': 99}Failed

SHA-256 / 76e5e3a495912d63906ee8c9385c541ac0f7534c756efbe17bd8934194e79b1b

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.

Member access is invitation-based. Sign in with your invited account to inspect the repair.

Sign in to the archive ↗

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 2026-09-29T14:45:55.860818+00:00.

Case digest / f50b2c7ad83f67e7ab9980285956455f6e8131f6815163fa3aed7b436b744fdf