FA-55626 / Astronomical coordinate conventions / Open access
Air vacuum line coordinate: Inverse air-wavelength conversion repeats the vacuum mapping · case 01
The adapter reports an incorrect air wavelength while other fields remain valid.
ROOT CAUSE
Inverse air-wavelength conversion repeats the vacuum mapping. Faulty expression: d['L']*d['a']/d['b']
THE FAILURE
Inverse air-wavelength conversion repeats the vacuum mapping. Faulty expression: d['L']*d['a']/d['b']
Unsuccessful approach: A partial convention repair still uses d['L']-d['a']/d['b']
Case contract
The supplied index n=a/b is a positive rational greater than zero. This finite constant-index adapter maps air wavelength to vacuum by multiplication n. Frequency belongs to vacuum wavelength; flux densities change inversely with wavelength-bin Jacobian. It does not model dispersion of refractive index. Output fields are defined by: vacuum_wavelength = d['L']*d['a']/d['b']; air_wavelength = d['L']*d['b']/d['a']; vacuum_width = d['width']*d['a']/d['b']; vacuum_density = d['F']*d['b']/d['a']; vacuum_frequency = d['c']*d['b']/(d['L']*d['a']); line_displacement = d['L']*(d['a']-d['b'])/d['b']
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 {'vacuum_wavelength': d['L']*d['a']/d['b'], 'air_wavelength': d['L']*d['a']/d['b'], 'vacuum_width': d['width']*d['a']/d['b'], 'vacuum_density': d['F']*d['b']/d['a'], 'vacuum_frequency': d['c']*d['b']/(d['L']*d['a']), 'line_displacement': d['L']*(d['a']-d['b'])/d['b']}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'L': 10, 'a': 3, 'b': 2, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 15.0, 'air_wavelength': 6.666666666666667, 'vacuum_width': 6.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'line_displacement': 5.0}), ({'L': 10, 'a': 1, 'b': 1, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 10.0, 'air_wavelength': 10.0, 'vacuum_width': 4.0, 'vacuum_density': 6.0, 'vacuum_frequency': 12.0, 'line_displacement': 0.0}), ({'L': 10, 'a': 3, 'b': 2, 'width': 0, 'F': 6, 'c': 120}, {'vacuum_wavelength': 15.0, 'air_wavelength': 6.666666666666667, 'vacuum_width': 0.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'line_displacement': 5.0}), ({'L': 10, 'a': 3, 'b': 2, 'width': 4, 'F': 0, 'c': 120}, {'vacuum_wavelength': 15.0, 'air_wavelength': 6.666666666666667, 'vacuum_width': 6.0, 'vacuum_density': 0.0, 'vacuum_frequency': 8.0, 'line_displacement': 5.0}), ({'L': 10, 'a': 4, 'b': 3, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 13.333333333333334, 'air_wavelength': 7.5, 'vacuum_width': 5.333333333333333, 'vacuum_density': 4.5, 'vacuum_frequency': 9.0, 'line_displacement': 3.3333333333333335}), ({'L': 10, 'a': 3, 'b': 2, 'width': 4, 'F': -2, 'c': 120}, {'vacuum_wavelength': 15.0, 'air_wavelength': 6.666666666666667, 'vacuum_width': 6.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 8.0, 'line_displacement': 5.0})], 2: [({'L': 11, 'a': 3, 'b': 2, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 16.5, 'air_wavelength': 7.333333333333333, 'vacuum_width': 6.0, 'vacuum_density': 4.0, 'vacuum_frequency': 7.2727272727272725, 'line_displacement': 5.5}), ({'L': 11, 'a': 1, 'b': 1, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 11.0, 'air_wavelength': 11.0, 'vacuum_width': 4.0, 'vacuum_density': 6.0, 'vacuum_frequency': 10.909090909090908, 'line_displacement': 0.0}), ({'L': 11, 'a': 3, 'b': 2, 'width': 0, 'F': 6, 'c': 120}, {'vacuum_wavelength': 16.5, 'air_wavelength': 7.333333333333333, 'vacuum_width': 0.0, 'vacuum_density': 4.0, 'vacuum_frequency': 7.2727272727272725, 'line_displacement': 5.5}), ({'L': 11, 'a': 3, 'b': 2, 'width': 4, 'F': 0, 'c': 120}, {'vacuum_wavelength': 16.5, 'air_wavelength': 7.333333333333333, 'vacuum_width': 6.0, 'vacuum_density': 0.0, 'vacuum_frequency': 7.2727272727272725, 'line_displacement': 5.5}), ({'L': 11, 'a': 4, 'b': 3, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 14.666666666666666, 'air_wavelength': 8.25, 'vacuum_width': 5.333333333333333, 'vacuum_density': 4.5, 'vacuum_frequency': 8.181818181818182, 'line_displacement': 3.6666666666666665}), ({'L': 11, 'a': 3, 'b': 2, 'width': 4, 'F': -2, 'c': 120}, {'vacuum_wavelength': 16.5, 'air_wavelength': 7.333333333333333, 'vacuum_width': 6.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 7.2727272727272725, 'line_displacement': 5.5})], 3: [({'L': 12, 'a': 3, 'b': 2, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 18.0, 'air_wavelength': 8.0, 'vacuum_width': 6.0, 'vacuum_density': 4.0, 'vacuum_frequency': 6.666666666666667, 'line_displacement': 6.0}), ({'L': 12, 'a': 1, 'b': 1, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 12.0, 'air_wavelength': 12.0, 'vacuum_width': 4.0, 'vacuum_density': 6.0, 'vacuum_frequency': 10.0, 'line_displacement': 0.0}), ({'L': 12, 'a': 3, 'b': 2, 'width': 0, 'F': 6, 'c': 120}, {'vacuum_wavelength': 18.0, 'air_wavelength': 8.0, 'vacuum_width': 0.0, 'vacuum_density': 4.0, 'vacuum_frequency': 6.666666666666667, 'line_displacement': 6.0}), ({'L': 12, 'a': 3, 'b': 2, 'width': 4, 'F': 0, 'c': 120}, {'vacuum_wavelength': 18.0, 'air_wavelength': 8.0, 'vacuum_width': 6.0, 'vacuum_density': 0.0, 'vacuum_frequency': 6.666666666666667, 'line_displacement': 6.0}), ({'L': 12, 'a': 4, 'b': 3, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 16.0, 'air_wavelength': 9.0, 'vacuum_width': 5.333333333333333, 'vacuum_density': 4.5, 'vacuum_frequency': 7.5, 'line_displacement': 4.0}), ({'L': 12, 'a': 3, 'b': 2, 'width': 4, 'F': -2, 'c': 120}, {'vacuum_wavelength': 18.0, 'air_wavelength': 8.0, 'vacuum_width': 6.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 6.666666666666667, 'line_displacement': 6.0})], 4: [({'L': 13, 'a': 3, 'b': 2, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 19.5, 'air_wavelength': 8.666666666666666, 'vacuum_width': 6.0, 'vacuum_density': 4.0, 'vacuum_frequency': 6.153846153846154, 'line_displacement': 6.5}), ({'L': 13, 'a': 1, 'b': 1, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 13.0, 'air_wavelength': 13.0, 'vacuum_width': 4.0, 'vacuum_density': 6.0, 'vacuum_frequency': 9.23076923076923, 'line_displacement': 0.0}), ({'L': 13, 'a': 3, 'b': 2, 'width': 0, 'F': 6, 'c': 120}, {'vacuum_wavelength': 19.5, 'air_wavelength': 8.666666666666666, 'vacuum_width': 0.0, 'vacuum_density': 4.0, 'vacuum_frequency': 6.153846153846154, 'line_displacement': 6.5}), ({'L': 13, 'a': 3, 'b': 2, 'width': 4, 'F': 0, 'c': 120}, {'vacuum_wavelength': 19.5, 'air_wavelength': 8.666666666666666, 'vacuum_width': 6.0, 'vacuum_density': 0.0, 'vacuum_frequency': 6.153846153846154, 'line_displacement': 6.5}), ({'L': 13, 'a': 4, 'b': 3, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 17.333333333333332, 'air_wavelength': 9.75, 'vacuum_width': 5.333333333333333, 'vacuum_density': 4.5, 'vacuum_frequency': 6.923076923076923, 'line_displacement': 4.333333333333333}), ({'L': 13, 'a': 3, 'b': 2, 'width': 4, 'F': -2, 'c': 120}, {'vacuum_wavelength': 19.5, 'air_wavelength': 8.666666666666666, 'vacuum_width': 6.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 6.153846153846154, 'line_displacement': 6.5})], 5: [({'L': 14, 'a': 3, 'b': 2, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 21.0, 'air_wavelength': 9.333333333333334, 'vacuum_width': 6.0, 'vacuum_density': 4.0, 'vacuum_frequency': 5.714285714285714, 'line_displacement': 7.0}), ({'L': 14, 'a': 1, 'b': 1, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 14.0, 'air_wavelength': 14.0, 'vacuum_width': 4.0, 'vacuum_density': 6.0, 'vacuum_frequency': 8.571428571428571, 'line_displacement': 0.0}), ({'L': 14, 'a': 3, 'b': 2, 'width': 0, 'F': 6, 'c': 120}, {'vacuum_wavelength': 21.0, 'air_wavelength': 9.333333333333334, 'vacuum_width': 0.0, 'vacuum_density': 4.0, 'vacuum_frequency': 5.714285714285714, 'line_displacement': 7.0}), ({'L': 14, 'a': 3, 'b': 2, 'width': 4, 'F': 0, 'c': 120}, {'vacuum_wavelength': 21.0, 'air_wavelength': 9.333333333333334, 'vacuum_width': 6.0, 'vacuum_density': 0.0, 'vacuum_frequency': 5.714285714285714, 'line_displacement': 7.0}), ({'L': 14, 'a': 4, 'b': 3, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 18.666666666666668, 'air_wavelength': 10.5, 'vacuum_width': 5.333333333333333, 'vacuum_density': 4.5, 'vacuum_frequency': 6.428571428571429, 'line_displacement': 4.666666666666667}), ({'L': 14, 'a': 3, 'b': 2, 'width': 4, 'F': -2, 'c': 120}, {'vacuum_wavelength': 21.0, 'air_wavelength': 9.333333333333334, 'vacuum_width': 6.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 5.714285714285714, 'line_displacement': 7.0})]}
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 | {'air_wavelength': 15.0, 'line_displacement': 5.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | {'air_wavelength': 6.666666666666667, 'line_displacement': 5.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | Failed |
| astronomical fixture 1 | {'air_wavelength': 10.0, 'line_displacement': 0.0, 'vacuum_density': 6.0, 'vacuum_frequency': 12.0, 'vacuum_wavelength': 10.0, 'vacuum_width': 4.0} | {'air_wavelength': 10.0, 'line_displacement': 0.0, 'vacuum_density': 6.0, 'vacuum_frequency': 12.0, 'vacuum_wavelength': 10.0, 'vacuum_width': 4.0} | Passed |
| astronomical fixture 2 | {'air_wavelength': 15.0, 'line_displacement': 5.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 0.0} | {'air_wavelength': 6.666666666666667, 'line_displacement': 5.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 0.0} | Failed |
| astronomical fixture 3 | {'air_wavelength': 15.0, 'line_displacement': 5.0, 'vacuum_density': 0.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | {'air_wavelength': 6.666666666666667, 'line_displacement': 5.0, 'vacuum_density': 0.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | Failed |
| astronomical fixture 4 | {'air_wavelength': 13.333333333333334, 'line_displacement': 3.3333333333333335, 'vacuum_density': 4.5, 'vacuum_frequency': 9.0, 'vacuum_wavelength': 13.333333333333334, 'vacuum_width': 5.333333333333333} | {'air_wavelength': 7.5, 'line_displacement': 3.3333333333333335, 'vacuum_density': 4.5, 'vacuum_frequency': 9.0, 'vacuum_wavelength': 13.333333333333334, 'vacuum_width': 5.333333333333333} | Failed |
| astronomical fixture 5 | {'air_wavelength': 15.0, 'line_displacement': 5.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | {'air_wavelength': 6.666666666666667, 'line_displacement': 5.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | Failed |
SHA-256 / 006c2d84dc5daadcf2f9d306e76e5dd5b17beaae4807fee06125e0ec0d55b674
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(d):
return {'vacuum_wavelength': d['L']*d['a']/d['b'], 'air_wavelength': d['L']-d['a']/d['b'], 'vacuum_width': d['width']*d['a']/d['b'], 'vacuum_density': d['F']*d['b']/d['a'], 'vacuum_frequency': d['c']*d['b']/(d['L']*d['a']), 'line_displacement': d['L']*(d['a']-d['b'])/d['b']}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'L': 10, 'a': 3, 'b': 2, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 15.0, 'air_wavelength': 6.666666666666667, 'vacuum_width': 6.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'line_displacement': 5.0}), ({'L': 10, 'a': 1, 'b': 1, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 10.0, 'air_wavelength': 10.0, 'vacuum_width': 4.0, 'vacuum_density': 6.0, 'vacuum_frequency': 12.0, 'line_displacement': 0.0}), ({'L': 10, 'a': 3, 'b': 2, 'width': 0, 'F': 6, 'c': 120}, {'vacuum_wavelength': 15.0, 'air_wavelength': 6.666666666666667, 'vacuum_width': 0.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'line_displacement': 5.0}), ({'L': 10, 'a': 3, 'b': 2, 'width': 4, 'F': 0, 'c': 120}, {'vacuum_wavelength': 15.0, 'air_wavelength': 6.666666666666667, 'vacuum_width': 6.0, 'vacuum_density': 0.0, 'vacuum_frequency': 8.0, 'line_displacement': 5.0}), ({'L': 10, 'a': 4, 'b': 3, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 13.333333333333334, 'air_wavelength': 7.5, 'vacuum_width': 5.333333333333333, 'vacuum_density': 4.5, 'vacuum_frequency': 9.0, 'line_displacement': 3.3333333333333335}), ({'L': 10, 'a': 3, 'b': 2, 'width': 4, 'F': -2, 'c': 120}, {'vacuum_wavelength': 15.0, 'air_wavelength': 6.666666666666667, 'vacuum_width': 6.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 8.0, 'line_displacement': 5.0})], 2: [({'L': 11, 'a': 3, 'b': 2, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 16.5, 'air_wavelength': 7.333333333333333, 'vacuum_width': 6.0, 'vacuum_density': 4.0, 'vacuum_frequency': 7.2727272727272725, 'line_displacement': 5.5}), ({'L': 11, 'a': 1, 'b': 1, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 11.0, 'air_wavelength': 11.0, 'vacuum_width': 4.0, 'vacuum_density': 6.0, 'vacuum_frequency': 10.909090909090908, 'line_displacement': 0.0}), ({'L': 11, 'a': 3, 'b': 2, 'width': 0, 'F': 6, 'c': 120}, {'vacuum_wavelength': 16.5, 'air_wavelength': 7.333333333333333, 'vacuum_width': 0.0, 'vacuum_density': 4.0, 'vacuum_frequency': 7.2727272727272725, 'line_displacement': 5.5}), ({'L': 11, 'a': 3, 'b': 2, 'width': 4, 'F': 0, 'c': 120}, {'vacuum_wavelength': 16.5, 'air_wavelength': 7.333333333333333, 'vacuum_width': 6.0, 'vacuum_density': 0.0, 'vacuum_frequency': 7.2727272727272725, 'line_displacement': 5.5}), ({'L': 11, 'a': 4, 'b': 3, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 14.666666666666666, 'air_wavelength': 8.25, 'vacuum_width': 5.333333333333333, 'vacuum_density': 4.5, 'vacuum_frequency': 8.181818181818182, 'line_displacement': 3.6666666666666665}), ({'L': 11, 'a': 3, 'b': 2, 'width': 4, 'F': -2, 'c': 120}, {'vacuum_wavelength': 16.5, 'air_wavelength': 7.333333333333333, 'vacuum_width': 6.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 7.2727272727272725, 'line_displacement': 5.5})], 3: [({'L': 12, 'a': 3, 'b': 2, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 18.0, 'air_wavelength': 8.0, 'vacuum_width': 6.0, 'vacuum_density': 4.0, 'vacuum_frequency': 6.666666666666667, 'line_displacement': 6.0}), ({'L': 12, 'a': 1, 'b': 1, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 12.0, 'air_wavelength': 12.0, 'vacuum_width': 4.0, 'vacuum_density': 6.0, 'vacuum_frequency': 10.0, 'line_displacement': 0.0}), ({'L': 12, 'a': 3, 'b': 2, 'width': 0, 'F': 6, 'c': 120}, {'vacuum_wavelength': 18.0, 'air_wavelength': 8.0, 'vacuum_width': 0.0, 'vacuum_density': 4.0, 'vacuum_frequency': 6.666666666666667, 'line_displacement': 6.0}), ({'L': 12, 'a': 3, 'b': 2, 'width': 4, 'F': 0, 'c': 120}, {'vacuum_wavelength': 18.0, 'air_wavelength': 8.0, 'vacuum_width': 6.0, 'vacuum_density': 0.0, 'vacuum_frequency': 6.666666666666667, 'line_displacement': 6.0}), ({'L': 12, 'a': 4, 'b': 3, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 16.0, 'air_wavelength': 9.0, 'vacuum_width': 5.333333333333333, 'vacuum_density': 4.5, 'vacuum_frequency': 7.5, 'line_displacement': 4.0}), ({'L': 12, 'a': 3, 'b': 2, 'width': 4, 'F': -2, 'c': 120}, {'vacuum_wavelength': 18.0, 'air_wavelength': 8.0, 'vacuum_width': 6.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 6.666666666666667, 'line_displacement': 6.0})], 4: [({'L': 13, 'a': 3, 'b': 2, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 19.5, 'air_wavelength': 8.666666666666666, 'vacuum_width': 6.0, 'vacuum_density': 4.0, 'vacuum_frequency': 6.153846153846154, 'line_displacement': 6.5}), ({'L': 13, 'a': 1, 'b': 1, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 13.0, 'air_wavelength': 13.0, 'vacuum_width': 4.0, 'vacuum_density': 6.0, 'vacuum_frequency': 9.23076923076923, 'line_displacement': 0.0}), ({'L': 13, 'a': 3, 'b': 2, 'width': 0, 'F': 6, 'c': 120}, {'vacuum_wavelength': 19.5, 'air_wavelength': 8.666666666666666, 'vacuum_width': 0.0, 'vacuum_density': 4.0, 'vacuum_frequency': 6.153846153846154, 'line_displacement': 6.5}), ({'L': 13, 'a': 3, 'b': 2, 'width': 4, 'F': 0, 'c': 120}, {'vacuum_wavelength': 19.5, 'air_wavelength': 8.666666666666666, 'vacuum_width': 6.0, 'vacuum_density': 0.0, 'vacuum_frequency': 6.153846153846154, 'line_displacement': 6.5}), ({'L': 13, 'a': 4, 'b': 3, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 17.333333333333332, 'air_wavelength': 9.75, 'vacuum_width': 5.333333333333333, 'vacuum_density': 4.5, 'vacuum_frequency': 6.923076923076923, 'line_displacement': 4.333333333333333}), ({'L': 13, 'a': 3, 'b': 2, 'width': 4, 'F': -2, 'c': 120}, {'vacuum_wavelength': 19.5, 'air_wavelength': 8.666666666666666, 'vacuum_width': 6.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 6.153846153846154, 'line_displacement': 6.5})], 5: [({'L': 14, 'a': 3, 'b': 2, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 21.0, 'air_wavelength': 9.333333333333334, 'vacuum_width': 6.0, 'vacuum_density': 4.0, 'vacuum_frequency': 5.714285714285714, 'line_displacement': 7.0}), ({'L': 14, 'a': 1, 'b': 1, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 14.0, 'air_wavelength': 14.0, 'vacuum_width': 4.0, 'vacuum_density': 6.0, 'vacuum_frequency': 8.571428571428571, 'line_displacement': 0.0}), ({'L': 14, 'a': 3, 'b': 2, 'width': 0, 'F': 6, 'c': 120}, {'vacuum_wavelength': 21.0, 'air_wavelength': 9.333333333333334, 'vacuum_width': 0.0, 'vacuum_density': 4.0, 'vacuum_frequency': 5.714285714285714, 'line_displacement': 7.0}), ({'L': 14, 'a': 3, 'b': 2, 'width': 4, 'F': 0, 'c': 120}, {'vacuum_wavelength': 21.0, 'air_wavelength': 9.333333333333334, 'vacuum_width': 6.0, 'vacuum_density': 0.0, 'vacuum_frequency': 5.714285714285714, 'line_displacement': 7.0}), ({'L': 14, 'a': 4, 'b': 3, 'width': 4, 'F': 6, 'c': 120}, {'vacuum_wavelength': 18.666666666666668, 'air_wavelength': 10.5, 'vacuum_width': 5.333333333333333, 'vacuum_density': 4.5, 'vacuum_frequency': 6.428571428571429, 'line_displacement': 4.666666666666667}), ({'L': 14, 'a': 3, 'b': 2, 'width': 4, 'F': -2, 'c': 120}, {'vacuum_wavelength': 21.0, 'air_wavelength': 9.333333333333334, 'vacuum_width': 6.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 5.714285714285714, 'line_displacement': 7.0})]}
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 | {'air_wavelength': 8.5, 'line_displacement': 5.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | {'air_wavelength': 6.666666666666667, 'line_displacement': 5.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | Failed |
| astronomical fixture 1 | {'air_wavelength': 9.0, 'line_displacement': 0.0, 'vacuum_density': 6.0, 'vacuum_frequency': 12.0, 'vacuum_wavelength': 10.0, 'vacuum_width': 4.0} | {'air_wavelength': 10.0, 'line_displacement': 0.0, 'vacuum_density': 6.0, 'vacuum_frequency': 12.0, 'vacuum_wavelength': 10.0, 'vacuum_width': 4.0} | Failed |
| astronomical fixture 2 | {'air_wavelength': 8.5, 'line_displacement': 5.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 0.0} | {'air_wavelength': 6.666666666666667, 'line_displacement': 5.0, 'vacuum_density': 4.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 0.0} | Failed |
| astronomical fixture 3 | {'air_wavelength': 8.5, 'line_displacement': 5.0, 'vacuum_density': 0.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | {'air_wavelength': 6.666666666666667, 'line_displacement': 5.0, 'vacuum_density': 0.0, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | Failed |
| astronomical fixture 4 | {'air_wavelength': 8.666666666666666, 'line_displacement': 3.3333333333333335, 'vacuum_density': 4.5, 'vacuum_frequency': 9.0, 'vacuum_wavelength': 13.333333333333334, 'vacuum_width': 5.333333333333333} | {'air_wavelength': 7.5, 'line_displacement': 3.3333333333333335, 'vacuum_density': 4.5, 'vacuum_frequency': 9.0, 'vacuum_wavelength': 13.333333333333334, 'vacuum_width': 5.333333333333333} | Failed |
| astronomical fixture 5 | {'air_wavelength': 8.5, 'line_displacement': 5.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | {'air_wavelength': 6.666666666666667, 'line_displacement': 5.0, 'vacuum_density': -1.3333333333333333, 'vacuum_frequency': 8.0, 'vacuum_wavelength': 15.0, 'vacuum_width': 6.0} | Failed |
SHA-256 / 59a848e607517ebb378eafdd0c1342c5c3fa3f5dba091b097f83e8fae58152e1
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 2026-09-29T14:45:59.850622+00:00.
Case digest / f8eeb8d6102aedeef4b0ae327a3ea4f5ac31e4a7af68bdeb32bee8fa0ded2a57