FAILURE MAP
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FA-6551 / Calendar arithmetic / Open access

Weekday count half open date range · case 01

Weekend days are counted as working weekdays.

Verified by executionVariant 1 · 4 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Weekend days are counted as working weekdays.

VERIFIED REPAIR

Apply the specified mathematical contract directly, preserving all terms and boundary cases: return sum((date.fromisoformat(start)+timedelta(days=i)).weekday()<5 for i in range((date.fromisoformat(end)-date.fromisoformat(start)).days))

Unsuccessful approach: The exclusive terminal date is included.

Case contract

Valid ISO Gregorian dates in years 1 through 9999; generated dates must remain in that range. Month is 1 through 12 and zero-based weekday is Monday 0 through Sunday 6 unless the output convention says otherwise. start<=end; count Monday through Friday in [start,end), without public-holiday exclusions. Exact operational definition: sum((date.fromisoformat(start)+timedelta(days=i)).weekday()<5 for i in range((date.fromisoformat(end)-date.fromisoformat(start)).days))

Why this case matters

Small exact fixtures expose this error without platform timing, external services, or probabilistic observations. Calendar conventions results depend on the stated convention.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
import math
import calendar
import statistics
import itertools
from fractions import Fraction
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN, ROUND_CEILING, ROUND_FLOOR

N = 1
observations = []
def solve(start, end):
    return (date.fromisoformat(end)-date.fromisoformat(start)).days
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check("fixture 1: ('2024-01-01', '2024-01-08')", solve(*('2024-01-01', '2024-01-08')), 5)
check("fixture 2: ('2024-01-05', '2024-01-08')", solve(*('2024-01-05', '2024-01-08')), 1)
check("fixture 3: ('2024-01-06', '2024-01-08')", solve(*('2024-01-06', '2024-01-08')), 0)
check("fixture 4: ('2024-01-01', '2024-01-01')", solve(*('2024-01-01', '2024-01-01')), 0)
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 1: ('2024-01-01', '2024-01-08')75Failed
fixture 2: ('2024-01-05', '2024-01-08')31Failed
fixture 3: ('2024-01-06', '2024-01-08')20Failed
fixture 4: ('2024-01-01', '2024-01-01')00Passed

SHA-256 / 04b7db32764282e6f3a77e88c04e4e7520d42664b683771e562d4041de5f4666

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
import math
import calendar
import statistics
import itertools
from fractions import Fraction
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN, ROUND_CEILING, ROUND_FLOOR

N = 1
observations = []
def solve(start, end):
    return sum((date.fromisoformat(start)+timedelta(days=i)).weekday()<5 for i in range((date.fromisoformat(end)-date.fromisoformat(start)).days+1))
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check("fixture 1: ('2024-01-01', '2024-01-08')", solve(*('2024-01-01', '2024-01-08')), 5)
check("fixture 2: ('2024-01-05', '2024-01-08')", solve(*('2024-01-05', '2024-01-08')), 1)
check("fixture 3: ('2024-01-06', '2024-01-08')", solve(*('2024-01-06', '2024-01-08')), 0)
check("fixture 4: ('2024-01-01', '2024-01-01')", solve(*('2024-01-01', '2024-01-01')), 0)
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 1: ('2024-01-01', '2024-01-08')65Failed
fixture 2: ('2024-01-05', '2024-01-08')21Failed
fixture 3: ('2024-01-06', '2024-01-08')10Failed
fixture 4: ('2024-01-01', '2024-01-01')10Failed

SHA-256 / d289dedde5e1590c50c2e56a57205ec02767175fce489c31340af5420aebcac4

3 / The verified repair

Exit 0
"""Failure Map reference implementation. Python standard library only."""
import json
import math
import calendar
import statistics
import itertools
from fractions import Fraction
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN, ROUND_CEILING, ROUND_FLOOR

N = 1
observations = []
def solve(start, end):
    return sum((date.fromisoformat(start)+timedelta(days=i)).weekday()<5 for i in range((date.fromisoformat(end)-date.fromisoformat(start)).days))
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check("fixture 1: ('2024-01-01', '2024-01-08')", solve(*('2024-01-01', '2024-01-08')), 5)
check("fixture 2: ('2024-01-05', '2024-01-08')", solve(*('2024-01-05', '2024-01-08')), 1)
check("fixture 3: ('2024-01-06', '2024-01-08')", solve(*('2024-01-06', '2024-01-08')), 0)
check("fixture 4: ('2024-01-01', '2024-01-01')", solve(*('2024-01-01', '2024-01-01')), 0)
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 1: ('2024-01-01', '2024-01-08')55Passed
fixture 2: ('2024-01-05', '2024-01-08')11Passed
fixture 3: ('2024-01-06', '2024-01-08')00Passed
fixture 4: ('2024-01-01', '2024-01-01')00Passed

SHA-256 / 6b99e7f7df4bf6323ceaaf8ded503b9417b34b958125f1084ec18556838e5baf

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 2026-09-29T14:38:03.075347+00:00.

Case digest / e11f23aea624a31169e908f633ae4603cfc091607437ef6080e4a8077da4f82b