FA-79316 / Image orientation metadata / Open access
Sidecar loses to the file when both were saved in the same second · case 01
Rotations made in the manager revert after an export that touched both files within one second.
ROOT CAUSE
Equal timestamps favour the embedded value instead of the sidecar.
THE FAILURE
Equal timestamps favour the embedded value instead of the sidecar.
Unsuccessful approach: Requiring a margin of more than a second makes the sidecar lose even more often.
Case contract
A photo manager reconciles the embedded orientation with an XMP sidecar. Values are valid if they are integers 1..8 or strings that are exactly one digit 1..8 after trimming. Policy "sidecar" prefers the sidecar, "embedded" prefers the file, and "newest" (also used for unknown policies) prefers the sidecar when both are valid and sidecar_mtime >= file_mtime; the other valid value is the fallback, then 1.
Why this case matters
Camera, phone and scanner images carry an orientation hint separately from the stored pixels; galleries, thumbnailers, editors and upload pipelines must interpret it consistently or photos appear sideways, mirrored or doubly rotated.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(d):
def ok(v):
if isinstance(v, str) and v.strip() in ('1', '2', '3', '4', '5', '6', '7', '8'):
return int(v.strip())
if isinstance(v, int) and not isinstance(v, bool) and 1 <= v <= 8:
return v
return None
e = ok(d.get('embedded'))
s = ok(d.get('sidecar'))
pol = d.get('policy')
if pol not in ('newest', 'sidecar', 'embedded'):
pol = 'newest'
if pol == 'sidecar':
order = [s, e]
elif pol == 'embedded':
order = [e, s]
elif s is not None and e is not None:
order = [s, e] if d['sidecar_mtime'] > d['file_mtime'] else [e, s]
else:
order = [s, e]
for v in order:
if v is not None:
return v
return 1
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[[{'embedded': ' 8', 'sidecar': 5, 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': 'newest'}, 5], [{'embedded': 3, 'sidecar': ' 8', 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': 'latest'}, 8], [{'embedded': 5, 'sidecar': '+3', 'file_mtime': 103, 'sidecar_mtime': 108, 'policy': 'newest'}, 5], [{'embedded': 'x', 'sidecar': 'x', 'file_mtime': 109, 'sidecar_mtime': 109, 'policy': 'embedded'}, 1], [{'embedded': 8, 'sidecar': 'x', 'file_mtime': 102, 'sidecar_mtime': 101, 'policy': 'newest'}, 8], [{'embedded': 9, 'sidecar': 9, 'file_mtime': 108, 'sidecar_mtime': 109, 'policy': None}, 1], [{'embedded': '06', 'sidecar': None, 'file_mtime': 101, 'sidecar_mtime': 100, 'policy': 'embedded'}, 1], [{'embedded': '6', 'sidecar': 5, 'file_mtime': 101, 'sidecar_mtime': 101, 'policy': None}, 5]], [[{'embedded': ' 8', 'sidecar': 5, 'file_mtime': 101, 'sidecar_mtime': 101, 'policy': None}, 5], [{'embedded': 5, 'sidecar': ' 8', 'file_mtime': 104, 'sidecar_mtime': 105, 'policy': 'newest'}, 8], [{'embedded': 3, 'sidecar': None, 'file_mtime': 106, 'sidecar_mtime': 106, 'policy': 'embedded'}, 3], [{'embedded': 1, 'sidecar': '06', 'file_mtime': 104, 'sidecar_mtime': 105, 'policy': 'sidecar'}, 1], [{'embedded': ' 8', 'sidecar': 8, 'file_mtime': 107, 'sidecar_mtime': 112, 'policy': 'embedded'}, 8], [{'embedded': 3, 'sidecar': 6, 'file_mtime': 101, 'sidecar_mtime': 96, 'policy': 'sidecar'}, 6], [{'embedded': 3, 'sidecar': 'x', 'file_mtime': 102, 'sidecar_mtime': 103, 'policy': 'newest'}, 3], [{'embedded': 3, 'sidecar': 8, 'file_mtime': 106, 'sidecar_mtime': 106, 'policy': 'latest'}, 8]], [[{'embedded': ' 8', 'sidecar': 3, 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': None}, 3], [{'embedded': 8, 'sidecar': '6', 'file_mtime': 102, 'sidecar_mtime': 102, 'policy': None}, 6], [{'embedded': None, 'sidecar': '06', 'file_mtime': 110, 'sidecar_mtime': 115, 'policy': 'newest'}, 1], [{'embedded': 3, 'sidecar': '+3', 'file_mtime': 109, 'sidecar_mtime': 114, 'policy': None}, 3], [{'embedded': 'x', 'sidecar': ' 8', 'file_mtime': 101, 'sidecar_mtime': 101, 'policy': 'sidecar'}, 8], [{'embedded': 5, 'sidecar': 9, 'file_mtime': 105, 'sidecar_mtime': 110, 'policy': 'latest'}, 5], [{'embedded': ' 8', 'sidecar': '06', 'file_mtime': 100, 'sidecar_mtime': 101, 'policy': 'newest'}, 8], [{'embedded': 8, 'sidecar': 1, 'file_mtime': 108, 'sidecar_mtime': 108, 'policy': None}, 1]], [[{'embedded': 6, 'sidecar': ' 8', 'file_mtime': 106, 'sidecar_mtime': 106, 'policy': 'newest'}, 8], [{'embedded': 1, 'sidecar': ' 8', 'file_mtime': 105, 'sidecar_mtime': 106, 'policy': 'newest'}, 8], [{'embedded': ' 8', 'sidecar': '6', 'file_mtime': 102, 'sidecar_mtime': 102, 'policy': None}, 6], [{'embedded': 1, 'sidecar': '6', 'file_mtime': 100, 'sidecar_mtime': 99, 'policy': 'newest'}, 1], [{'embedded': 6, 'sidecar': 6, 'file_mtime': 100, 'sidecar_mtime': 105, 'policy': 'sidecar'}, 6], [{'embedded': 5, 'sidecar': 8, 'file_mtime': 109, 'sidecar_mtime': 114, 'policy': 'newest'}, 8], [{'embedded': None, 'sidecar': '6', 'file_mtime': 104, 'sidecar_mtime': 104, 'policy': 'latest'}, 6], [{'embedded': 8, 'sidecar': 3, 'file_mtime': 107, 'sidecar_mtime': 107, 'policy': None}, 3]], [[{'embedded': '6', 'sidecar': 8, 'file_mtime': 106, 'sidecar_mtime': 106, 'policy': 'newest'}, 8], [{'embedded': 1, 'sidecar': 5, 'file_mtime': 107, 'sidecar_mtime': 108, 'policy': None}, 5], [{'embedded': 5, 'sidecar': '6', 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': 'latest'}, 6], [{'embedded': ' 8', 'sidecar': 8, 'file_mtime': 110, 'sidecar_mtime': 110, 'policy': 'embedded'}, 8], [{'embedded': 0, 'sidecar': 'x', 'file_mtime': 102, 'sidecar_mtime': 102, 'policy': 'embedded'}, 1], [{'embedded': 0, 'sidecar': 9, 'file_mtime': 100, 'sidecar_mtime': 99, 'policy': 'latest'}, 1], [{'embedded': ' 8', 'sidecar': 0, 'file_mtime': 100, 'sidecar_mtime': 100, 'policy': None}, 8], [{'embedded': 6, 'sidecar': 8, 'file_mtime': 103, 'sidecar_mtime': 103, 'policy': 'latest'}, 8]]]
labels = ["regression: equal modification times", "repair trap", "combined fault", "control", "control", "boundary", "boundary", "control"]
for i, (args, expected) in enumerate(fixtures[N-1]):
check("%s %d" % (labels[i % len(labels)], i), solve(args), 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 |
|---|---|---|---|
| regression: equal modification times 0 | 8 | 5 | Failed |
| repair trap 1 | 3 | 8 | Failed |
| combined fault 2 | 5 | 5 | Passed |
| control 3 | 1 | 1 | Passed |
| control 4 | 8 | 8 | Passed |
| boundary 5 | 1 | 1 | Passed |
| boundary 6 | 1 | 1 | Passed |
| control 7 | 6 | 5 | Failed |
SHA-256 / 5a8938a722d2384e11da5d62cd913d4f282ac8de285628b014b73a68a6015e01
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(d):
def ok(v):
if isinstance(v, str) and v.strip() in ('1', '2', '3', '4', '5', '6', '7', '8'):
return int(v.strip())
if isinstance(v, int) and not isinstance(v, bool) and 1 <= v <= 8:
return v
return None
e = ok(d.get('embedded'))
s = ok(d.get('sidecar'))
pol = d.get('policy')
if pol not in ('newest', 'sidecar', 'embedded'):
pol = 'newest'
if pol == 'sidecar':
order = [s, e]
elif pol == 'embedded':
order = [e, s]
elif s is not None and e is not None:
order = [s, e] if d['sidecar_mtime'] - d['file_mtime'] > 1 else [e, s]
else:
order = [s, e]
for v in order:
if v is not None:
return v
return 1
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[[{'embedded': ' 8', 'sidecar': 5, 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': 'newest'}, 5], [{'embedded': 3, 'sidecar': ' 8', 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': 'latest'}, 8], [{'embedded': 5, 'sidecar': '+3', 'file_mtime': 103, 'sidecar_mtime': 108, 'policy': 'newest'}, 5], [{'embedded': 'x', 'sidecar': 'x', 'file_mtime': 109, 'sidecar_mtime': 109, 'policy': 'embedded'}, 1], [{'embedded': 8, 'sidecar': 'x', 'file_mtime': 102, 'sidecar_mtime': 101, 'policy': 'newest'}, 8], [{'embedded': 9, 'sidecar': 9, 'file_mtime': 108, 'sidecar_mtime': 109, 'policy': None}, 1], [{'embedded': '06', 'sidecar': None, 'file_mtime': 101, 'sidecar_mtime': 100, 'policy': 'embedded'}, 1], [{'embedded': '6', 'sidecar': 5, 'file_mtime': 101, 'sidecar_mtime': 101, 'policy': None}, 5]], [[{'embedded': ' 8', 'sidecar': 5, 'file_mtime': 101, 'sidecar_mtime': 101, 'policy': None}, 5], [{'embedded': 5, 'sidecar': ' 8', 'file_mtime': 104, 'sidecar_mtime': 105, 'policy': 'newest'}, 8], [{'embedded': 3, 'sidecar': None, 'file_mtime': 106, 'sidecar_mtime': 106, 'policy': 'embedded'}, 3], [{'embedded': 1, 'sidecar': '06', 'file_mtime': 104, 'sidecar_mtime': 105, 'policy': 'sidecar'}, 1], [{'embedded': ' 8', 'sidecar': 8, 'file_mtime': 107, 'sidecar_mtime': 112, 'policy': 'embedded'}, 8], [{'embedded': 3, 'sidecar': 6, 'file_mtime': 101, 'sidecar_mtime': 96, 'policy': 'sidecar'}, 6], [{'embedded': 3, 'sidecar': 'x', 'file_mtime': 102, 'sidecar_mtime': 103, 'policy': 'newest'}, 3], [{'embedded': 3, 'sidecar': 8, 'file_mtime': 106, 'sidecar_mtime': 106, 'policy': 'latest'}, 8]], [[{'embedded': ' 8', 'sidecar': 3, 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': None}, 3], [{'embedded': 8, 'sidecar': '6', 'file_mtime': 102, 'sidecar_mtime': 102, 'policy': None}, 6], [{'embedded': None, 'sidecar': '06', 'file_mtime': 110, 'sidecar_mtime': 115, 'policy': 'newest'}, 1], [{'embedded': 3, 'sidecar': '+3', 'file_mtime': 109, 'sidecar_mtime': 114, 'policy': None}, 3], [{'embedded': 'x', 'sidecar': ' 8', 'file_mtime': 101, 'sidecar_mtime': 101, 'policy': 'sidecar'}, 8], [{'embedded': 5, 'sidecar': 9, 'file_mtime': 105, 'sidecar_mtime': 110, 'policy': 'latest'}, 5], [{'embedded': ' 8', 'sidecar': '06', 'file_mtime': 100, 'sidecar_mtime': 101, 'policy': 'newest'}, 8], [{'embedded': 8, 'sidecar': 1, 'file_mtime': 108, 'sidecar_mtime': 108, 'policy': None}, 1]], [[{'embedded': 6, 'sidecar': ' 8', 'file_mtime': 106, 'sidecar_mtime': 106, 'policy': 'newest'}, 8], [{'embedded': 1, 'sidecar': ' 8', 'file_mtime': 105, 'sidecar_mtime': 106, 'policy': 'newest'}, 8], [{'embedded': ' 8', 'sidecar': '6', 'file_mtime': 102, 'sidecar_mtime': 102, 'policy': None}, 6], [{'embedded': 1, 'sidecar': '6', 'file_mtime': 100, 'sidecar_mtime': 99, 'policy': 'newest'}, 1], [{'embedded': 6, 'sidecar': 6, 'file_mtime': 100, 'sidecar_mtime': 105, 'policy': 'sidecar'}, 6], [{'embedded': 5, 'sidecar': 8, 'file_mtime': 109, 'sidecar_mtime': 114, 'policy': 'newest'}, 8], [{'embedded': None, 'sidecar': '6', 'file_mtime': 104, 'sidecar_mtime': 104, 'policy': 'latest'}, 6], [{'embedded': 8, 'sidecar': 3, 'file_mtime': 107, 'sidecar_mtime': 107, 'policy': None}, 3]], [[{'embedded': '6', 'sidecar': 8, 'file_mtime': 106, 'sidecar_mtime': 106, 'policy': 'newest'}, 8], [{'embedded': 1, 'sidecar': 5, 'file_mtime': 107, 'sidecar_mtime': 108, 'policy': None}, 5], [{'embedded': 5, 'sidecar': '6', 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': 'latest'}, 6], [{'embedded': ' 8', 'sidecar': 8, 'file_mtime': 110, 'sidecar_mtime': 110, 'policy': 'embedded'}, 8], [{'embedded': 0, 'sidecar': 'x', 'file_mtime': 102, 'sidecar_mtime': 102, 'policy': 'embedded'}, 1], [{'embedded': 0, 'sidecar': 9, 'file_mtime': 100, 'sidecar_mtime': 99, 'policy': 'latest'}, 1], [{'embedded': ' 8', 'sidecar': 0, 'file_mtime': 100, 'sidecar_mtime': 100, 'policy': None}, 8], [{'embedded': 6, 'sidecar': 8, 'file_mtime': 103, 'sidecar_mtime': 103, 'policy': 'latest'}, 8]]]
labels = ["regression: equal modification times", "repair trap", "combined fault", "control", "control", "boundary", "boundary", "control"]
for i, (args, expected) in enumerate(fixtures[N-1]):
check("%s %d" % (labels[i % len(labels)], i), solve(args), 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 |
|---|---|---|---|
| regression: equal modification times 0 | 8 | 5 | Failed |
| repair trap 1 | 3 | 8 | Failed |
| combined fault 2 | 5 | 5 | Passed |
| control 3 | 1 | 1 | Passed |
| control 4 | 8 | 8 | Passed |
| boundary 5 | 1 | 1 | Passed |
| boundary 6 | 1 | 1 | Passed |
| control 7 | 6 | 5 | Failed |
SHA-256 / 483e6f2243891aac299d3a6c9639ef4676cb65c62bac926aa622cea26f5be715
HELD IN THE MEMBER ARCHIVE
The verified repair and its recorded checks are member-only.
This mechanism has 8 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
A deterministic bounded teaching model with a stipulated contract; it makes no claim of conformance to any published specification. 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 2026-09-29T14:49:43.432503+00:00.
Case digest / 0edb3347725bf4f75144c82c41ed6030026d1b0b1e1af64ca62f9550817b4cd9