FA-12551 / Genomic coordinate mapping / Open access
Contig aliases choose an arbitrary reference target · case 01
Contig aliases choose an arbitrary reference target.
ROOT CAUSE
Alias normalization chooses the first candidate without detecting collisions.
THE FAILURE
Alias normalization chooses the first candidate without detecting collisions.
Unsuccessful approach: Rejecting all multiple alias matches also rejects an exact canonical identifier.
Case contract
Names identify canonical contigs; aliases may collide. Exact canonical match wins; ambiguous or absent aliases return None.
Why this case matters
An abstract offline coordinate model isolates this software mapping defect; it does not model biological interpretation.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(rows, name):
return next((c for c,aliases in rows if name==c or name in aliases),None)
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
a='contig'+str(N)
r=[(a,['x','shared']),('other',['shared',a]),('third',[])]
check('ambiguous alias',solve(r,'shared'),None)
check('canonical beats alias',solve(r,a),a)
check('unique alias',solve(r,'x'),a)
check('canonical other',solve(r,'other'),'other')
check('canonical without alias',solve(r,'third'),'third')
check('absent',solve(r,'missing'),None)
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 |
|---|---|---|---|
| ambiguous alias | contig1 | None | Failed |
| canonical beats alias | contig1 | contig1 | Passed |
| unique alias | contig1 | contig1 | Passed |
| canonical other | other | other | Passed |
| canonical without alias | third | third | Passed |
| absent | None | None | Passed |
SHA-256 / ab6cd6653554e92579d64d567a96e3ecacfdb7cc0f7ffe5461d353a69367f3ab
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(rows, name):
matches=[c for c,a in rows if name==c or name in a]
return matches[0] if len(matches)==1 else None
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
a='contig'+str(N)
r=[(a,['x','shared']),('other',['shared',a]),('third',[])]
check('ambiguous alias',solve(r,'shared'),None)
check('canonical beats alias',solve(r,a),a)
check('unique alias',solve(r,'x'),a)
check('canonical other',solve(r,'other'),'other')
check('canonical without alias',solve(r,'third'),'third')
check('absent',solve(r,'missing'),None)
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 |
|---|---|---|---|
| ambiguous alias | None | None | Passed |
| canonical beats alias | None | contig1 | Failed |
| unique alias | contig1 | contig1 | Passed |
| canonical other | other | other | Passed |
| canonical without alias | third | third | Passed |
| absent | None | None | Passed |
SHA-256 / 9e072018e34fe3eaf654832c0167d9c21f15dd164694b97525ddecb87d9fda3a
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
Synthetic coordinate fixtures only; not a production annotation or alignment implementation. 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 2026-09-29T14:38:57.974745+00:00.
Case digest / be46333441861d2b833f2015a83941386f9bc85e085427ea2ae9c125710deec4