FA-20681 / Assistive announcements / Open access
Missing speech language is sent as an empty code · case 01
The announcement trace violates the stated speech-envelope contract.
ROOT CAUSE
Fault site: language=lang if lang else 'en' is implemented as language=lang
VERIFIED REPAIR
Restore the stated transition: language=lang if lang else 'en'
Unsuccessful approach: The attempted repair substitutes language='en' and still violates a regression oracle.
Case contract
Each input row is [text,role,ordinal,total,unit,negated,language,private,label,detail]. Compose a speech envelope: redact private values, prefix label, apply negation, append units, prepend ordinal of known positive total, append role, append nonempty detail once, preserve language fallback en, and omit empty nonprivate values. Return [language,spoken] pairs. This is an explicit product grammar, not natural language localization.
Why this case matters
Deterministic controlled model of assistive announcement delivery.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(events):
out=[]
for text,role,pos,total,unit,negative,lang,private,label,detail in events:
if not text and not private: continue
value='hidden' if private else text
if label: value=label+': '+value
if negative: value='not '+value
if unit and not private: value+=' '+unit
if total>0: value=str(pos)+' of '+str(total)+': '+value
if role: value+=' ('+role+')'
if detail and detail!=text and not private: value+='; '+detail
language=lang
out.append([language,value])
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = ["[['value'*N,'status',2,N+3,'items',True,'fr',False,'Count','detail']]", "[['secret'*N,'status',1,3,'kg',False,'en',True,'Weight','private detail']]", "[['','',0,0,'',False,'',False,'Label',''],['','',0,0,'',False,'',True,'','']]", "[['same'*N,'',0,-1,'',False,'de',False,'','same'*N]]", "[[' x '*N,'',0,0,'',False,'',False,'','']]", '[]']
expected = {1: [[['fr', '2 of 4: not Count: value items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'same']], [['en', ' x ']], []], 2: [[['fr', '2 of 5: not Count: valuevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesame']], [['en', ' x x ']], []], 3: [[['fr', '2 of 6: not Count: valuevaluevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesamesame']], [['en', ' x x x ']], []], 4: [[['fr', '2 of 7: not Count: valuevaluevaluevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesamesamesame']], [['en', ' x x x x ']], []], 5: [[['fr', '2 of 8: not Count: valuevaluevaluevaluevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesamesamesamesame']], [['en', ' x x x x x ']], []]}[N]
for i, expression in enumerate(fixtures):
check("trace-"+str(i+1), solve(eval(expression)), expected[i])
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 |
|---|---|---|---|
| trace-1 | [['fr', '2 of 4: not Count: value items (status); detail']] | [['fr', '2 of 4: not Count: value items (status); detail']] | Passed |
| trace-2 | [['en', '1 of 3: Weight: hidden (status)']] | [['en', '1 of 3: Weight: hidden (status)']] | Passed |
| trace-3 | [['', 'hidden']] | [['en', 'hidden']] | Failed |
| trace-4 | [['de', 'same']] | [['de', 'same']] | Passed |
| trace-5 | [['', ' x ']] | [['en', ' x ']] | Failed |
| trace-6 | [] | [] | Passed |
SHA-256 / 0dd73e77fcf9de066f93e4e6f8d4df9578415cf4cff8bb8b2d4b17d87a7a28c2
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(events):
out=[]
for text,role,pos,total,unit,negative,lang,private,label,detail in events:
if not text and not private: continue
value='hidden' if private else text
if label: value=label+': '+value
if negative: value='not '+value
if unit and not private: value+=' '+unit
if total>0: value=str(pos)+' of '+str(total)+': '+value
if role: value+=' ('+role+')'
if detail and detail!=text and not private: value+='; '+detail
language='en'
out.append([language,value])
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = ["[['value'*N,'status',2,N+3,'items',True,'fr',False,'Count','detail']]", "[['secret'*N,'status',1,3,'kg',False,'en',True,'Weight','private detail']]", "[['','',0,0,'',False,'',False,'Label',''],['','',0,0,'',False,'',True,'','']]", "[['same'*N,'',0,-1,'',False,'de',False,'','same'*N]]", "[[' x '*N,'',0,0,'',False,'',False,'','']]", '[]']
expected = {1: [[['fr', '2 of 4: not Count: value items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'same']], [['en', ' x ']], []], 2: [[['fr', '2 of 5: not Count: valuevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesame']], [['en', ' x x ']], []], 3: [[['fr', '2 of 6: not Count: valuevaluevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesamesame']], [['en', ' x x x ']], []], 4: [[['fr', '2 of 7: not Count: valuevaluevaluevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesamesamesame']], [['en', ' x x x x ']], []], 5: [[['fr', '2 of 8: not Count: valuevaluevaluevaluevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesamesamesamesame']], [['en', ' x x x x x ']], []]}[N]
for i, expression in enumerate(fixtures):
check("trace-"+str(i+1), solve(eval(expression)), expected[i])
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 |
|---|---|---|---|
| trace-1 | [['en', '2 of 4: not Count: value items (status); detail']] | [['fr', '2 of 4: not Count: value items (status); detail']] | Failed |
| trace-2 | [['en', '1 of 3: Weight: hidden (status)']] | [['en', '1 of 3: Weight: hidden (status)']] | Passed |
| trace-3 | [['en', 'hidden']] | [['en', 'hidden']] | Passed |
| trace-4 | [['en', 'same']] | [['de', 'same']] | Failed |
| trace-5 | [['en', ' x ']] | [['en', ' x ']] | Passed |
| trace-6 | [] | [] | Passed |
SHA-256 / bf56f8c934508a17b0f4236f316de70b92fe43a7bce4cca186d7cea037857ca1
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(events):
out=[]
for text,role,pos,total,unit,negative,lang,private,label,detail in events:
if not text and not private: continue
value='hidden' if private else text
if label: value=label+': '+value
if negative: value='not '+value
if unit and not private: value+=' '+unit
if total>0: value=str(pos)+' of '+str(total)+': '+value
if role: value+=' ('+role+')'
if detail and detail!=text and not private: value+='; '+detail
language=lang if lang else 'en'
out.append([language,value])
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = ["[['value'*N,'status',2,N+3,'items',True,'fr',False,'Count','detail']]", "[['secret'*N,'status',1,3,'kg',False,'en',True,'Weight','private detail']]", "[['','',0,0,'',False,'',False,'Label',''],['','',0,0,'',False,'',True,'','']]", "[['same'*N,'',0,-1,'',False,'de',False,'','same'*N]]", "[[' x '*N,'',0,0,'',False,'',False,'','']]", '[]']
expected = {1: [[['fr', '2 of 4: not Count: value items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'same']], [['en', ' x ']], []], 2: [[['fr', '2 of 5: not Count: valuevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesame']], [['en', ' x x ']], []], 3: [[['fr', '2 of 6: not Count: valuevaluevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesamesame']], [['en', ' x x x ']], []], 4: [[['fr', '2 of 7: not Count: valuevaluevaluevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesamesamesame']], [['en', ' x x x x ']], []], 5: [[['fr', '2 of 8: not Count: valuevaluevaluevaluevalue items (status); detail']], [['en', '1 of 3: Weight: hidden (status)']], [['en', 'hidden']], [['de', 'samesamesamesamesame']], [['en', ' x x x x x ']], []]}[N]
for i, expression in enumerate(fixtures):
check("trace-"+str(i+1), solve(eval(expression)), expected[i])
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 |
|---|---|---|---|
| trace-1 | [['fr', '2 of 4: not Count: value items (status); detail']] | [['fr', '2 of 4: not Count: value items (status); detail']] | Passed |
| trace-2 | [['en', '1 of 3: Weight: hidden (status)']] | [['en', '1 of 3: Weight: hidden (status)']] | Passed |
| trace-3 | [['en', 'hidden']] | [['en', 'hidden']] | Passed |
| trace-4 | [['de', 'same']] | [['de', 'same']] | Passed |
| trace-5 | [['en', ' x ']] | [['en', ' x ']] | Passed |
| trace-6 | [] | [] | Passed |
SHA-256 / a5f27ef3b1e258d4ca28c3afe1b0b8229eaa53eb14fe09c3f3b814beb5ef11d2
Verification & scope
Stipulated bounded policy, not a browser, speech engine, platform API, or standards conformance claim. 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 2026-09-29T14:40:21.265860+00:00.
Case digest / e8671e16ed50cd6b163988acbe9563153e55348c59b21dbaccd280acf9752bb8