FAILURE MAP
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Build status reduction: Optional job failures block the build · case 01

Optional job failures block the build.

Verified by executionVariant 1 · 9 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The implementation substitutes if True for if required, so optional job failures block the build.

VERIFIED REPAIR

Reduce required jobs only.

Unsuccessful approach: The attempted repair substitutes if not required. Fixture 2 still yields 'failed' instead of 'passed'.

Case contract

Return failed if any required job fails, cancelled if any required job cancels, waiting if required work is pending, running if required work runs, otherwise passed. Optional jobs never block.

Why this case matters

An offline model of build status reduction, suitable for testing build and release tooling without external services.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(jobs):
    states = [state for required, state in jobs if True]
    if 'failed' in states: return 'failed'
    if 'cancelled' in states: return 'cancelled'
    if 'pending' in states: return 'waiting'
    if 'running' in states: return 'running'
    return 'passed'
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1', solve([]), 'passed')
check('fixture 2', solve([(False, 'failed')]), 'passed')
check('fixture 3', solve([(True, 'failed'), (True, 'running')]), 'failed')
check('fixture 4', solve([(True, 'cancelled')]), 'cancelled')
check('fixture 5', solve([(True, 'pending')]), 'waiting')
check('fixture 6', solve([(True, 'running')]), 'running')
check('fixture 7', solve([(True, 'passed')]), 'passed')
check('fixture 8', solve([(True, 'pending'), (True, 'running')]), 'waiting')
check('fixture 9', solve([(False, 'pending'), (True, 'passed')]), 'passed')
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 fixtureActualExpectedOutcome
fixture 1passedpassedPassed
fixture 2failedpassedFailed
fixture 3failedfailedPassed
fixture 4cancelledcancelledPassed
fixture 5waitingwaitingPassed
fixture 6runningrunningPassed
fixture 7passedpassedPassed
fixture 8waitingwaitingPassed
fixture 9waitingpassedFailed

SHA-256 / a20fcb7d43ab3a788acbc561946d9f48e7b6c394878261005e77806df623b8ff

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(jobs):
    states = [state for required, state in jobs if not required]
    if 'failed' in states: return 'failed'
    if 'cancelled' in states: return 'cancelled'
    if 'pending' in states: return 'waiting'
    if 'running' in states: return 'running'
    return 'passed'
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1', solve([]), 'passed')
check('fixture 2', solve([(False, 'failed')]), 'passed')
check('fixture 3', solve([(True, 'failed'), (True, 'running')]), 'failed')
check('fixture 4', solve([(True, 'cancelled')]), 'cancelled')
check('fixture 5', solve([(True, 'pending')]), 'waiting')
check('fixture 6', solve([(True, 'running')]), 'running')
check('fixture 7', solve([(True, 'passed')]), 'passed')
check('fixture 8', solve([(True, 'pending'), (True, 'running')]), 'waiting')
check('fixture 9', solve([(False, 'pending'), (True, 'passed')]), 'passed')
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 fixtureActualExpectedOutcome
fixture 1passedpassedPassed
fixture 2failedpassedFailed
fixture 3passedfailedFailed
fixture 4passedcancelledFailed
fixture 5passedwaitingFailed
fixture 6passedrunningFailed
fixture 7passedpassedPassed
fixture 8passedwaitingFailed
fixture 9waitingpassedFailed

SHA-256 / cb26298840361a9658272c484e12dc20b90aec83c7302d60afaec9ebb876d76b

3 / The verified repair

Exit 0
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(jobs):
    states = [state for required, state in jobs if required]
    if 'failed' in states: return 'failed'
    if 'cancelled' in states: return 'cancelled'
    if 'pending' in states: return 'waiting'
    if 'running' in states: return 'running'
    return 'passed'
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1', solve([]), 'passed')
check('fixture 2', solve([(False, 'failed')]), 'passed')
check('fixture 3', solve([(True, 'failed'), (True, 'running')]), 'failed')
check('fixture 4', solve([(True, 'cancelled')]), 'cancelled')
check('fixture 5', solve([(True, 'pending')]), 'waiting')
check('fixture 6', solve([(True, 'running')]), 'running')
check('fixture 7', solve([(True, 'passed')]), 'passed')
check('fixture 8', solve([(True, 'pending'), (True, 'running')]), 'waiting')
check('fixture 9', solve([(False, 'pending'), (True, 'passed')]), 'passed')
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 fixtureActualExpectedOutcome
fixture 1passedpassedPassed
fixture 2passedpassedPassed
fixture 3failedfailedPassed
fixture 4cancelledcancelledPassed
fixture 5waitingwaitingPassed
fixture 6runningrunningPassed
fixture 7passedpassedPassed
fixture 8waitingwaitingPassed
fixture 9passedpassedPassed

SHA-256 / ebdb6ace53bde76a1b24aa4ce3a9450fc8734382229ce22896a61a15303645cf

Verification & scope

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 2026-09-29T14:38:28.005059+00:00.

Case digest / a85457676357cc38aee101f951d45d7d914d2d0ee0032baa4cbe5c1f88b1a7f4