FA-11886 / Search retrieval semantics / Open access
Prefix expansion applies its budget before finding matching terms · case 01
Prefix expansion applies its budget before finding matching terms.
ROOT CAUSE
The dictionary is truncated before the prefix range is selected.
VERIFIED REPAIR
Deduplicate the dictionary, select terms beginning with the prefix, then choose lexical first k.
Unsuccessful approach: Substring matching admits terms whose interior contains the query prefix.
Case contract
For an arbitrary token dictionary return at most k distinct lexical terms beginning with prefix. Empty prefix matches all terms; k is nonnegative.
Why this case matters
An offline deterministic retrieval model isolates this search contract from tokenization, storage, and network behavior.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(terms, prefix, k):
return [t for t in sorted(set(terms))[:k] if t.startswith(prefix)]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
p='z'+str(N)
check('matching terms past budget', solve(['a','b',p+'b',p+'a'],p,1),[p+'a'])
check('interior false match', solve(['a'+p,p+'x'],p,3),[p+'x'])
check('duplicate dictionary entries', solve([p,p,p+'x'],p,3),[p,p+'x'])
check('empty prefix', solve(['b','a'],'',2),['a','b'])
check('zero budget', solve([p],p,0),[])
check('empty dictionary', solve([],p,3),[])
check('exact token is prefix match', solve([p],p,1),[p])
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 |
|---|---|---|---|
| matching terms past budget | [] | ['z1a'] | Failed |
| interior false match | ['z1x'] | ['z1x'] | Passed |
| duplicate dictionary entries | ['z1', 'z1x'] | ['z1', 'z1x'] | Passed |
| empty prefix | ['a', 'b'] | ['a', 'b'] | Passed |
| zero budget | [] | [] | Passed |
| empty dictionary | [] | [] | Passed |
| exact token is prefix match | ['z1'] | ['z1'] | Passed |
SHA-256 / 0efd9ac2d9a2a770212ae74e35604ed093dd2841f43381d2194c651913e7c3f1
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(terms, prefix, k):
return sorted({t for t in terms if prefix in t})[:k]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
p='z'+str(N)
check('matching terms past budget', solve(['a','b',p+'b',p+'a'],p,1),[p+'a'])
check('interior false match', solve(['a'+p,p+'x'],p,3),[p+'x'])
check('duplicate dictionary entries', solve([p,p,p+'x'],p,3),[p,p+'x'])
check('empty prefix', solve(['b','a'],'',2),['a','b'])
check('zero budget', solve([p],p,0),[])
check('empty dictionary', solve([],p,3),[])
check('exact token is prefix match', solve([p],p,1),[p])
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 |
|---|---|---|---|
| matching terms past budget | ['z1a'] | ['z1a'] | Passed |
| interior false match | ['az1', 'z1x'] | ['z1x'] | Failed |
| duplicate dictionary entries | ['z1', 'z1x'] | ['z1', 'z1x'] | Passed |
| empty prefix | ['a', 'b'] | ['a', 'b'] | Passed |
| zero budget | [] | [] | Passed |
| empty dictionary | [] | [] | Passed |
| exact token is prefix match | ['z1'] | ['z1'] | Passed |
SHA-256 / 566905450a9acae9aaa06c4937b6246364e985141081bfe048b4b0d7ac66a955
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(terms, prefix, k):
return sorted({t for t in terms if t.startswith(prefix)})[:k]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
p='z'+str(N)
check('matching terms past budget', solve(['a','b',p+'b',p+'a'],p,1),[p+'a'])
check('interior false match', solve(['a'+p,p+'x'],p,3),[p+'x'])
check('duplicate dictionary entries', solve([p,p,p+'x'],p,3),[p,p+'x'])
check('empty prefix', solve(['b','a'],'',2),['a','b'])
check('zero budget', solve([p],p,0),[])
check('empty dictionary', solve([],p,3),[])
check('exact token is prefix match', solve([p],p,1),[p])
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 |
|---|---|---|---|
| matching terms past budget | ['z1a'] | ['z1a'] | Passed |
| interior false match | ['z1x'] | ['z1x'] | Passed |
| duplicate dictionary entries | ['z1', 'z1x'] | ['z1', 'z1x'] | Passed |
| empty prefix | ['a', 'b'] | ['a', 'b'] | Passed |
| zero budget | [] | [] | Passed |
| empty dictionary | [] | [] | Passed |
| exact token is prefix match | ['z1'] | ['z1'] | Passed |
SHA-256 / 0681876d2c6c9b74e323ec4e7bd7dbfad3abd838fca1a6eb94c5f041675f99ce
Verification & scope
Inputs are already tokenized or scored; this model makes no claim about production engine performance or linguistic analysis. 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 2026-09-29T14:38:51.807646+00:00.
Case digest / 1c92f71a673ff4a220eafc6ea25f282bedc117e530abc42dac49ef1e861f0d77