FA-79326 / Image orientation metadata / Open access
Unknown reconciliation policy prefers the embedded tag · case 01
Libraries migrated from an older config with policy "latest" ignore newer sidecar edits.
ROOT CAUSE
Unrecognised policies fall back to embedded-first instead of newest.
VERIFIED REPAIR
Treat unknown policies as "newest".
Unsuccessful approach: Always preferring the sidecar ignores timestamps.
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 = 'embedded'
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': '6', 'sidecar': 5, 'file_mtime': 101, 'sidecar_mtime': 101, 'policy': None}, 5], [{'embedded': 8, 'sidecar': '6', 'file_mtime': 107, 'sidecar_mtime': 102, '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': ' 8', 'sidecar': 5, 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': 'newest'}, 5], [{'embedded': ' 8', 'sidecar': 1, 'file_mtime': 103, 'sidecar_mtime': 103, 'policy': None}, 1]], [[{'embedded': 3, 'sidecar': 6, 'file_mtime': 109, 'sidecar_mtime': 110, 'policy': 'latest'}, 6], [{'embedded': 5, 'sidecar': 8, 'file_mtime': 106, 'sidecar_mtime': 105, 'policy': 'latest'}, 5], [{'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': 6, 'sidecar': 3, 'file_mtime': 106, 'sidecar_mtime': 111, 'policy': None}, 3]], [[{'embedded': 3, 'sidecar': 8, 'file_mtime': 101, 'sidecar_mtime': 106, 'policy': 'latest'}, 8], [{'embedded': 3, 'sidecar': 5, 'file_mtime': 102, 'sidecar_mtime': 97, 'policy': None}, 3], [{'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': ' 8', 'sidecar': '6', 'file_mtime': 100, 'sidecar_mtime': 101, 'policy': None}, 6], [{'embedded': '6', 'sidecar': 8, 'file_mtime': 108, 'sidecar_mtime': 103, 'policy': 'latest'}, 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': 'x', 'sidecar': 8, 'file_mtime': 103, 'sidecar_mtime': 102, 'policy': None}, 8], [{'embedded': ' 8', 'sidecar': '6', 'file_mtime': 102, 'sidecar_mtime': 102, 'policy': None}, 6]], [[{'embedded': 1, 'sidecar': 5, 'file_mtime': 102, 'sidecar_mtime': 107, 'policy': None}, 5], [{'embedded': 3, 'sidecar': '6', 'file_mtime': 108, 'sidecar_mtime': 107, 'policy': None}, 3], [{'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': 8, 'sidecar': 9, 'file_mtime': 102, 'sidecar_mtime': 101, 'policy': 'sidecar'}, 8], [{'embedded': 8, 'sidecar': 3, 'file_mtime': 108, 'sidecar_mtime': 109, 'policy': 'latest'}, 3]]]
labels = ["regression: unknown policy default", "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: unknown policy default 0 | 6 | 5 | Failed |
| repair trap 1 | 8 | 8 | Passed |
| combined fault 2 | 5 | 5 | Passed |
| control 3 | 1 | 1 | Passed |
| control 4 | 8 | 8 | Passed |
| boundary 5 | 1 | 1 | Passed |
| boundary 6 | 5 | 5 | Passed |
| control 7 | 8 | 1 | Failed |
SHA-256 / 6b0fbb4a3ccdb762d79c340f024541b59e6de9d664fefa5b43bf704a3a3ad1e2
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 = 'sidecar'
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': '6', 'sidecar': 5, 'file_mtime': 101, 'sidecar_mtime': 101, 'policy': None}, 5], [{'embedded': 8, 'sidecar': '6', 'file_mtime': 107, 'sidecar_mtime': 102, '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': ' 8', 'sidecar': 5, 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': 'newest'}, 5], [{'embedded': ' 8', 'sidecar': 1, 'file_mtime': 103, 'sidecar_mtime': 103, 'policy': None}, 1]], [[{'embedded': 3, 'sidecar': 6, 'file_mtime': 109, 'sidecar_mtime': 110, 'policy': 'latest'}, 6], [{'embedded': 5, 'sidecar': 8, 'file_mtime': 106, 'sidecar_mtime': 105, 'policy': 'latest'}, 5], [{'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': 6, 'sidecar': 3, 'file_mtime': 106, 'sidecar_mtime': 111, 'policy': None}, 3]], [[{'embedded': 3, 'sidecar': 8, 'file_mtime': 101, 'sidecar_mtime': 106, 'policy': 'latest'}, 8], [{'embedded': 3, 'sidecar': 5, 'file_mtime': 102, 'sidecar_mtime': 97, 'policy': None}, 3], [{'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': ' 8', 'sidecar': '6', 'file_mtime': 100, 'sidecar_mtime': 101, 'policy': None}, 6], [{'embedded': '6', 'sidecar': 8, 'file_mtime': 108, 'sidecar_mtime': 103, 'policy': 'latest'}, 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': 'x', 'sidecar': 8, 'file_mtime': 103, 'sidecar_mtime': 102, 'policy': None}, 8], [{'embedded': ' 8', 'sidecar': '6', 'file_mtime': 102, 'sidecar_mtime': 102, 'policy': None}, 6]], [[{'embedded': 1, 'sidecar': 5, 'file_mtime': 102, 'sidecar_mtime': 107, 'policy': None}, 5], [{'embedded': 3, 'sidecar': '6', 'file_mtime': 108, 'sidecar_mtime': 107, 'policy': None}, 3], [{'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': 8, 'sidecar': 9, 'file_mtime': 102, 'sidecar_mtime': 101, 'policy': 'sidecar'}, 8], [{'embedded': 8, 'sidecar': 3, 'file_mtime': 108, 'sidecar_mtime': 109, 'policy': 'latest'}, 3]]]
labels = ["regression: unknown policy default", "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: unknown policy default 0 | 5 | 5 | Passed |
| repair trap 1 | 6 | 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 | 5 | 5 | Passed |
| control 7 | 1 | 1 | Passed |
SHA-256 / ad3dc68203bb6e02f3a67919375858a66fe6560166e8d8177930a53abe53393c
3 / The verified repair
Exit 0"""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': '6', 'sidecar': 5, 'file_mtime': 101, 'sidecar_mtime': 101, 'policy': None}, 5], [{'embedded': 8, 'sidecar': '6', 'file_mtime': 107, 'sidecar_mtime': 102, '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': ' 8', 'sidecar': 5, 'file_mtime': 105, 'sidecar_mtime': 105, 'policy': 'newest'}, 5], [{'embedded': ' 8', 'sidecar': 1, 'file_mtime': 103, 'sidecar_mtime': 103, 'policy': None}, 1]], [[{'embedded': 3, 'sidecar': 6, 'file_mtime': 109, 'sidecar_mtime': 110, 'policy': 'latest'}, 6], [{'embedded': 5, 'sidecar': 8, 'file_mtime': 106, 'sidecar_mtime': 105, 'policy': 'latest'}, 5], [{'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': 6, 'sidecar': 3, 'file_mtime': 106, 'sidecar_mtime': 111, 'policy': None}, 3]], [[{'embedded': 3, 'sidecar': 8, 'file_mtime': 101, 'sidecar_mtime': 106, 'policy': 'latest'}, 8], [{'embedded': 3, 'sidecar': 5, 'file_mtime': 102, 'sidecar_mtime': 97, 'policy': None}, 3], [{'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': ' 8', 'sidecar': '6', 'file_mtime': 100, 'sidecar_mtime': 101, 'policy': None}, 6], [{'embedded': '6', 'sidecar': 8, 'file_mtime': 108, 'sidecar_mtime': 103, 'policy': 'latest'}, 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': 'x', 'sidecar': 8, 'file_mtime': 103, 'sidecar_mtime': 102, 'policy': None}, 8], [{'embedded': ' 8', 'sidecar': '6', 'file_mtime': 102, 'sidecar_mtime': 102, 'policy': None}, 6]], [[{'embedded': 1, 'sidecar': 5, 'file_mtime': 102, 'sidecar_mtime': 107, 'policy': None}, 5], [{'embedded': 3, 'sidecar': '6', 'file_mtime': 108, 'sidecar_mtime': 107, 'policy': None}, 3], [{'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': 8, 'sidecar': 9, 'file_mtime': 102, 'sidecar_mtime': 101, 'policy': 'sidecar'}, 8], [{'embedded': 8, 'sidecar': 3, 'file_mtime': 108, 'sidecar_mtime': 109, 'policy': 'latest'}, 3]]]
labels = ["regression: unknown policy default", "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: unknown policy default 0 | 5 | 5 | Passed |
| repair trap 1 | 8 | 8 | Passed |
| combined fault 2 | 5 | 5 | Passed |
| control 3 | 1 | 1 | Passed |
| control 4 | 8 | 8 | Passed |
| boundary 5 | 1 | 1 | Passed |
| boundary 6 | 5 | 5 | Passed |
| control 7 | 1 | 1 | Passed |
SHA-256 / 40e830e664d9a3f1aca8f18812699302134237fef287372d09a244e0f1dfc559
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 2026-09-29T14:49:43.693578+00:00.
Case digest / d73931d79467fe5ba43cf3fd3cd58f07be9017e6f183aa206428e45fee23b254