FA-55611 / Astronomical coordinate conventions / Open access
Logarithmic spectral index: Spectral log-grid decimation preserves the old adjacent-channel ratio · case 01
The adapter reports an incorrect coarse ratio while other fields remain valid.
ROOT CAUSE
Spectral log-grid decimation preserves the old adjacent-channel ratio. Faulty expression: d['b']*d['s']
THE FAILURE
Spectral log-grid decimation preserves the old adjacent-channel ratio. Faulty expression: d['b']*d['s']
Unsuccessful approach: A partial convention repair still uses d['b']
Case contract
A discrete logarithmic spectrum uses lambda(p)=L0*b**(p-r), b a positive integer >=2 and integer p,r. Redshift by a grid factor b**k is an additive pixel shift k. Coarse bin stride s changes the multiplicative channel ratio. Output fields are defined by: wavelength = d['L0']*d['b']**(d['p']-d['r']); next_wavelength = d['L0']*d['b']**(d['p']+1-d['r']); redshifted_pixel = d['p']+d['k']; rest_pixel = d['p']-d['k']; coarse_ratio = d['b']**d['s']; channel_width = d['L0']*d['b']**(d['p']-d['r'])*(d['b']-1)
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 {'wavelength': d['L0']*d['b']**(d['p']-d['r']), 'next_wavelength': d['L0']*d['b']**(d['p']+1-d['r']), 'redshifted_pixel': d['p']+d['k'], 'rest_pixel': d['p']-d['k'], 'coarse_ratio': d['b']*d['s'], 'channel_width': d['L0']*d['b']**(d['p']-d['r'])*(d['b']-1)}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'L0': 8, 'b': 2, 'p': 4, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 32, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'coarse_ratio': 4, 'channel_width': 32}), ({'L0': 8, 'b': 2, 'p': 2, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 8, 'next_wavelength': 16, 'redshifted_pixel': 4, 'rest_pixel': 0, 'coarse_ratio': 4, 'channel_width': 8}), ({'L0': 8, 'b': 2, 'p': 4, 'r': 2, 'k': 0, 's': 2}, {'wavelength': 32, 'next_wavelength': 64, 'redshifted_pixel': 4, 'rest_pixel': 4, 'coarse_ratio': 4, 'channel_width': 32}), ({'L0': 8, 'b': 3, 'p': 4, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 72, 'next_wavelength': 216, 'redshifted_pixel': 6, 'rest_pixel': 2, 'coarse_ratio': 9, 'channel_width': 144}), ({'L0': 8, 'b': 2, 'p': 4, 'r': 2, 'k': 2, 's': 1}, {'wavelength': 32, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'coarse_ratio': 2, 'channel_width': 32}), ({'L0': 8, 'b': 2, 'p': 4, 'r': 3, 'k': -1, 's': 2}, {'wavelength': 16, 'next_wavelength': 32, 'redshifted_pixel': 3, 'rest_pixel': 5, 'coarse_ratio': 4, 'channel_width': 16})], 2: [({'L0': 8, 'b': 2, 'p': 5, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 64, 'next_wavelength': 128, 'redshifted_pixel': 7, 'rest_pixel': 3, 'coarse_ratio': 4, 'channel_width': 64}), ({'L0': 8, 'b': 2, 'p': 3, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 16, 'next_wavelength': 32, 'redshifted_pixel': 5, 'rest_pixel': 1, 'coarse_ratio': 4, 'channel_width': 16}), ({'L0': 8, 'b': 2, 'p': 5, 'r': 2, 'k': 0, 's': 2}, {'wavelength': 64, 'next_wavelength': 128, 'redshifted_pixel': 5, 'rest_pixel': 5, 'coarse_ratio': 4, 'channel_width': 64}), ({'L0': 8, 'b': 3, 'p': 5, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 216, 'next_wavelength': 648, 'redshifted_pixel': 7, 'rest_pixel': 3, 'coarse_ratio': 9, 'channel_width': 432}), ({'L0': 8, 'b': 2, 'p': 5, 'r': 2, 'k': 2, 's': 1}, {'wavelength': 64, 'next_wavelength': 128, 'redshifted_pixel': 7, 'rest_pixel': 3, 'coarse_ratio': 2, 'channel_width': 64}), ({'L0': 8, 'b': 2, 'p': 5, 'r': 3, 'k': -1, 's': 2}, {'wavelength': 32, 'next_wavelength': 64, 'redshifted_pixel': 4, 'rest_pixel': 6, 'coarse_ratio': 4, 'channel_width': 32})], 3: [({'L0': 8, 'b': 2, 'p': 6, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 128, 'next_wavelength': 256, 'redshifted_pixel': 8, 'rest_pixel': 4, 'coarse_ratio': 4, 'channel_width': 128}), ({'L0': 8, 'b': 2, 'p': 4, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 32, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'coarse_ratio': 4, 'channel_width': 32}), ({'L0': 8, 'b': 2, 'p': 6, 'r': 2, 'k': 0, 's': 2}, {'wavelength': 128, 'next_wavelength': 256, 'redshifted_pixel': 6, 'rest_pixel': 6, 'coarse_ratio': 4, 'channel_width': 128}), ({'L0': 8, 'b': 3, 'p': 6, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 648, 'next_wavelength': 1944, 'redshifted_pixel': 8, 'rest_pixel': 4, 'coarse_ratio': 9, 'channel_width': 1296}), ({'L0': 8, 'b': 2, 'p': 6, 'r': 2, 'k': 2, 's': 1}, {'wavelength': 128, 'next_wavelength': 256, 'redshifted_pixel': 8, 'rest_pixel': 4, 'coarse_ratio': 2, 'channel_width': 128}), ({'L0': 8, 'b': 2, 'p': 6, 'r': 3, 'k': -1, 's': 2}, {'wavelength': 64, 'next_wavelength': 128, 'redshifted_pixel': 5, 'rest_pixel': 7, 'coarse_ratio': 4, 'channel_width': 64})], 4: [({'L0': 8, 'b': 2, 'p': 7, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 256, 'next_wavelength': 512, 'redshifted_pixel': 9, 'rest_pixel': 5, 'coarse_ratio': 4, 'channel_width': 256}), ({'L0': 8, 'b': 2, 'p': 5, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 64, 'next_wavelength': 128, 'redshifted_pixel': 7, 'rest_pixel': 3, 'coarse_ratio': 4, 'channel_width': 64}), ({'L0': 8, 'b': 2, 'p': 7, 'r': 2, 'k': 0, 's': 2}, {'wavelength': 256, 'next_wavelength': 512, 'redshifted_pixel': 7, 'rest_pixel': 7, 'coarse_ratio': 4, 'channel_width': 256}), ({'L0': 8, 'b': 3, 'p': 7, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 1944, 'next_wavelength': 5832, 'redshifted_pixel': 9, 'rest_pixel': 5, 'coarse_ratio': 9, 'channel_width': 3888}), ({'L0': 8, 'b': 2, 'p': 7, 'r': 2, 'k': 2, 's': 1}, {'wavelength': 256, 'next_wavelength': 512, 'redshifted_pixel': 9, 'rest_pixel': 5, 'coarse_ratio': 2, 'channel_width': 256}), ({'L0': 8, 'b': 2, 'p': 7, 'r': 3, 'k': -1, 's': 2}, {'wavelength': 128, 'next_wavelength': 256, 'redshifted_pixel': 6, 'rest_pixel': 8, 'coarse_ratio': 4, 'channel_width': 128})], 5: [({'L0': 8, 'b': 2, 'p': 8, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 512, 'next_wavelength': 1024, 'redshifted_pixel': 10, 'rest_pixel': 6, 'coarse_ratio': 4, 'channel_width': 512}), ({'L0': 8, 'b': 2, 'p': 6, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 128, 'next_wavelength': 256, 'redshifted_pixel': 8, 'rest_pixel': 4, 'coarse_ratio': 4, 'channel_width': 128}), ({'L0': 8, 'b': 2, 'p': 8, 'r': 2, 'k': 0, 's': 2}, {'wavelength': 512, 'next_wavelength': 1024, 'redshifted_pixel': 8, 'rest_pixel': 8, 'coarse_ratio': 4, 'channel_width': 512}), ({'L0': 8, 'b': 3, 'p': 8, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 5832, 'next_wavelength': 17496, 'redshifted_pixel': 10, 'rest_pixel': 6, 'coarse_ratio': 9, 'channel_width': 11664}), ({'L0': 8, 'b': 2, 'p': 8, 'r': 2, 'k': 2, 's': 1}, {'wavelength': 512, 'next_wavelength': 1024, 'redshifted_pixel': 10, 'rest_pixel': 6, 'coarse_ratio': 2, 'channel_width': 512}), ({'L0': 8, 'b': 2, 'p': 8, 'r': 3, 'k': -1, 's': 2}, {'wavelength': 256, 'next_wavelength': 512, 'redshifted_pixel': 7, 'rest_pixel': 9, 'coarse_ratio': 4, 'channel_width': 256})]}
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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| astronomical fixture 0 | {'channel_width': 32, 'coarse_ratio': 4, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 32} | {'channel_width': 32, 'coarse_ratio': 4, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 32} | Passed |
| astronomical fixture 1 | {'channel_width': 8, 'coarse_ratio': 4, 'next_wavelength': 16, 'redshifted_pixel': 4, 'rest_pixel': 0, 'wavelength': 8} | {'channel_width': 8, 'coarse_ratio': 4, 'next_wavelength': 16, 'redshifted_pixel': 4, 'rest_pixel': 0, 'wavelength': 8} | Passed |
| astronomical fixture 2 | {'channel_width': 32, 'coarse_ratio': 4, 'next_wavelength': 64, 'redshifted_pixel': 4, 'rest_pixel': 4, 'wavelength': 32} | {'channel_width': 32, 'coarse_ratio': 4, 'next_wavelength': 64, 'redshifted_pixel': 4, 'rest_pixel': 4, 'wavelength': 32} | Passed |
| astronomical fixture 3 | {'channel_width': 144, 'coarse_ratio': 6, 'next_wavelength': 216, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 72} | {'channel_width': 144, 'coarse_ratio': 9, 'next_wavelength': 216, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 72} | Failed |
| astronomical fixture 4 | {'channel_width': 32, 'coarse_ratio': 2, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 32} | {'channel_width': 32, 'coarse_ratio': 2, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 32} | Passed |
| astronomical fixture 5 | {'channel_width': 16, 'coarse_ratio': 4, 'next_wavelength': 32, 'redshifted_pixel': 3, 'rest_pixel': 5, 'wavelength': 16} | {'channel_width': 16, 'coarse_ratio': 4, 'next_wavelength': 32, 'redshifted_pixel': 3, 'rest_pixel': 5, 'wavelength': 16} | Passed |
SHA-256 / 8603b63d38e48c05b29c7d0cb60458d038107a9cce114cb504e05c1610f8c9aa
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(d):
return {'wavelength': d['L0']*d['b']**(d['p']-d['r']), 'next_wavelength': d['L0']*d['b']**(d['p']+1-d['r']), 'redshifted_pixel': d['p']+d['k'], 'rest_pixel': d['p']-d['k'], 'coarse_ratio': d['b'], 'channel_width': d['L0']*d['b']**(d['p']-d['r'])*(d['b']-1)}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'L0': 8, 'b': 2, 'p': 4, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 32, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'coarse_ratio': 4, 'channel_width': 32}), ({'L0': 8, 'b': 2, 'p': 2, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 8, 'next_wavelength': 16, 'redshifted_pixel': 4, 'rest_pixel': 0, 'coarse_ratio': 4, 'channel_width': 8}), ({'L0': 8, 'b': 2, 'p': 4, 'r': 2, 'k': 0, 's': 2}, {'wavelength': 32, 'next_wavelength': 64, 'redshifted_pixel': 4, 'rest_pixel': 4, 'coarse_ratio': 4, 'channel_width': 32}), ({'L0': 8, 'b': 3, 'p': 4, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 72, 'next_wavelength': 216, 'redshifted_pixel': 6, 'rest_pixel': 2, 'coarse_ratio': 9, 'channel_width': 144}), ({'L0': 8, 'b': 2, 'p': 4, 'r': 2, 'k': 2, 's': 1}, {'wavelength': 32, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'coarse_ratio': 2, 'channel_width': 32}), ({'L0': 8, 'b': 2, 'p': 4, 'r': 3, 'k': -1, 's': 2}, {'wavelength': 16, 'next_wavelength': 32, 'redshifted_pixel': 3, 'rest_pixel': 5, 'coarse_ratio': 4, 'channel_width': 16})], 2: [({'L0': 8, 'b': 2, 'p': 5, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 64, 'next_wavelength': 128, 'redshifted_pixel': 7, 'rest_pixel': 3, 'coarse_ratio': 4, 'channel_width': 64}), ({'L0': 8, 'b': 2, 'p': 3, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 16, 'next_wavelength': 32, 'redshifted_pixel': 5, 'rest_pixel': 1, 'coarse_ratio': 4, 'channel_width': 16}), ({'L0': 8, 'b': 2, 'p': 5, 'r': 2, 'k': 0, 's': 2}, {'wavelength': 64, 'next_wavelength': 128, 'redshifted_pixel': 5, 'rest_pixel': 5, 'coarse_ratio': 4, 'channel_width': 64}), ({'L0': 8, 'b': 3, 'p': 5, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 216, 'next_wavelength': 648, 'redshifted_pixel': 7, 'rest_pixel': 3, 'coarse_ratio': 9, 'channel_width': 432}), ({'L0': 8, 'b': 2, 'p': 5, 'r': 2, 'k': 2, 's': 1}, {'wavelength': 64, 'next_wavelength': 128, 'redshifted_pixel': 7, 'rest_pixel': 3, 'coarse_ratio': 2, 'channel_width': 64}), ({'L0': 8, 'b': 2, 'p': 5, 'r': 3, 'k': -1, 's': 2}, {'wavelength': 32, 'next_wavelength': 64, 'redshifted_pixel': 4, 'rest_pixel': 6, 'coarse_ratio': 4, 'channel_width': 32})], 3: [({'L0': 8, 'b': 2, 'p': 6, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 128, 'next_wavelength': 256, 'redshifted_pixel': 8, 'rest_pixel': 4, 'coarse_ratio': 4, 'channel_width': 128}), ({'L0': 8, 'b': 2, 'p': 4, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 32, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'coarse_ratio': 4, 'channel_width': 32}), ({'L0': 8, 'b': 2, 'p': 6, 'r': 2, 'k': 0, 's': 2}, {'wavelength': 128, 'next_wavelength': 256, 'redshifted_pixel': 6, 'rest_pixel': 6, 'coarse_ratio': 4, 'channel_width': 128}), ({'L0': 8, 'b': 3, 'p': 6, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 648, 'next_wavelength': 1944, 'redshifted_pixel': 8, 'rest_pixel': 4, 'coarse_ratio': 9, 'channel_width': 1296}), ({'L0': 8, 'b': 2, 'p': 6, 'r': 2, 'k': 2, 's': 1}, {'wavelength': 128, 'next_wavelength': 256, 'redshifted_pixel': 8, 'rest_pixel': 4, 'coarse_ratio': 2, 'channel_width': 128}), ({'L0': 8, 'b': 2, 'p': 6, 'r': 3, 'k': -1, 's': 2}, {'wavelength': 64, 'next_wavelength': 128, 'redshifted_pixel': 5, 'rest_pixel': 7, 'coarse_ratio': 4, 'channel_width': 64})], 4: [({'L0': 8, 'b': 2, 'p': 7, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 256, 'next_wavelength': 512, 'redshifted_pixel': 9, 'rest_pixel': 5, 'coarse_ratio': 4, 'channel_width': 256}), ({'L0': 8, 'b': 2, 'p': 5, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 64, 'next_wavelength': 128, 'redshifted_pixel': 7, 'rest_pixel': 3, 'coarse_ratio': 4, 'channel_width': 64}), ({'L0': 8, 'b': 2, 'p': 7, 'r': 2, 'k': 0, 's': 2}, {'wavelength': 256, 'next_wavelength': 512, 'redshifted_pixel': 7, 'rest_pixel': 7, 'coarse_ratio': 4, 'channel_width': 256}), ({'L0': 8, 'b': 3, 'p': 7, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 1944, 'next_wavelength': 5832, 'redshifted_pixel': 9, 'rest_pixel': 5, 'coarse_ratio': 9, 'channel_width': 3888}), ({'L0': 8, 'b': 2, 'p': 7, 'r': 2, 'k': 2, 's': 1}, {'wavelength': 256, 'next_wavelength': 512, 'redshifted_pixel': 9, 'rest_pixel': 5, 'coarse_ratio': 2, 'channel_width': 256}), ({'L0': 8, 'b': 2, 'p': 7, 'r': 3, 'k': -1, 's': 2}, {'wavelength': 128, 'next_wavelength': 256, 'redshifted_pixel': 6, 'rest_pixel': 8, 'coarse_ratio': 4, 'channel_width': 128})], 5: [({'L0': 8, 'b': 2, 'p': 8, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 512, 'next_wavelength': 1024, 'redshifted_pixel': 10, 'rest_pixel': 6, 'coarse_ratio': 4, 'channel_width': 512}), ({'L0': 8, 'b': 2, 'p': 6, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 128, 'next_wavelength': 256, 'redshifted_pixel': 8, 'rest_pixel': 4, 'coarse_ratio': 4, 'channel_width': 128}), ({'L0': 8, 'b': 2, 'p': 8, 'r': 2, 'k': 0, 's': 2}, {'wavelength': 512, 'next_wavelength': 1024, 'redshifted_pixel': 8, 'rest_pixel': 8, 'coarse_ratio': 4, 'channel_width': 512}), ({'L0': 8, 'b': 3, 'p': 8, 'r': 2, 'k': 2, 's': 2}, {'wavelength': 5832, 'next_wavelength': 17496, 'redshifted_pixel': 10, 'rest_pixel': 6, 'coarse_ratio': 9, 'channel_width': 11664}), ({'L0': 8, 'b': 2, 'p': 8, 'r': 2, 'k': 2, 's': 1}, {'wavelength': 512, 'next_wavelength': 1024, 'redshifted_pixel': 10, 'rest_pixel': 6, 'coarse_ratio': 2, 'channel_width': 512}), ({'L0': 8, 'b': 2, 'p': 8, 'r': 3, 'k': -1, 's': 2}, {'wavelength': 256, 'next_wavelength': 512, 'redshifted_pixel': 7, 'rest_pixel': 9, 'coarse_ratio': 4, 'channel_width': 256})]}
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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| astronomical fixture 0 | {'channel_width': 32, 'coarse_ratio': 2, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 32} | {'channel_width': 32, 'coarse_ratio': 4, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 32} | Failed |
| astronomical fixture 1 | {'channel_width': 8, 'coarse_ratio': 2, 'next_wavelength': 16, 'redshifted_pixel': 4, 'rest_pixel': 0, 'wavelength': 8} | {'channel_width': 8, 'coarse_ratio': 4, 'next_wavelength': 16, 'redshifted_pixel': 4, 'rest_pixel': 0, 'wavelength': 8} | Failed |
| astronomical fixture 2 | {'channel_width': 32, 'coarse_ratio': 2, 'next_wavelength': 64, 'redshifted_pixel': 4, 'rest_pixel': 4, 'wavelength': 32} | {'channel_width': 32, 'coarse_ratio': 4, 'next_wavelength': 64, 'redshifted_pixel': 4, 'rest_pixel': 4, 'wavelength': 32} | Failed |
| astronomical fixture 3 | {'channel_width': 144, 'coarse_ratio': 3, 'next_wavelength': 216, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 72} | {'channel_width': 144, 'coarse_ratio': 9, 'next_wavelength': 216, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 72} | Failed |
| astronomical fixture 4 | {'channel_width': 32, 'coarse_ratio': 2, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 32} | {'channel_width': 32, 'coarse_ratio': 2, 'next_wavelength': 64, 'redshifted_pixel': 6, 'rest_pixel': 2, 'wavelength': 32} | Passed |
| astronomical fixture 5 | {'channel_width': 16, 'coarse_ratio': 2, 'next_wavelength': 32, 'redshifted_pixel': 3, 'rest_pixel': 5, 'wavelength': 16} | {'channel_width': 16, 'coarse_ratio': 4, 'next_wavelength': 32, 'redshifted_pixel': 3, 'rest_pixel': 5, 'wavelength': 16} | Failed |
SHA-256 / e9b95587d81ab155b158ab60b56a4894b8f8514906b81bb741f11ffca297f8eb
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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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 2026-09-29T14:45:59.463687+00:00.
Case digest / 15f1c59ca215d69e058f6c65862157ebeb4bb83b33b1e53b5e9839d76a0038bb