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FA-83976 / Sports scoring and tiebreakers / Open access

Positive net run rate printed without its sign · case 01

Standings show "0.512" instead of "+0.512", and negative rates may show a doubled sign.

Verified by executionVariant 1 · 10 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The value is formatted with "%.3f", dropping the explicit plus sign.

THE FAILURE

The value is formatted with "%.3f", dropping the explicit plus sign.

Unsuccessful approach: Prefixing a literal plus sign produces "+-0.250" for negative rates.

Case contract

Tournament net run rate. Each match row is [runs_for, overs_faced, all_out_for, runs_against, overs_bowled, all_out_against]. Overs strings use cricket notation "O.B" where B is balls 0-5 ("43.4" = 43 overs 4 balls); a ball digit above 5 returns "invalid overs". When a side was all out its innings counts as the full quota of overs. NRR = total runs for / total overs faced - total runs against / total overs bowled, aggregated over all matches before dividing, formatted as "%+.3f" of the exact value. If either overs total is zero return "no overs".

Why this case matters

Group-stage standings use net run rate as the first tiebreaker after points.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
from fractions import Fraction
import math
N = 1
observations = []
def solve(matches, quota):
    def balls(text):
        whole, _, part = text.partition('.')
        part = int(part or 0)
        if part > 5:
            return None
        return int(whole) * 6 + part
    rf = bf = ra = ba = 0
    for runs_for, faced, out_for, runs_against, bowled, out_against in matches:
        f = quota * 6 if out_for else balls(faced)
        g = quota * 6 if out_against else balls(bowled)
        if f is None or g is None:
            return 'invalid overs'
        rf += runs_for
        bf += f
        ra += runs_against
        ba += g
    if bf == 0 or ba == 0:
        return 'no overs'
    value = Fraction(rf * 6, bf) - Fraction(ra * 6, ba)
    return '%.3f' % float(value)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
def run(args):
    try:
        return solve(*args)
    except Exception as exc:
        return 'raised ' + type(exc).__name__
cases = [[('control single match', ([[300, '50', False, 250, '50', False]], 50), '+1.000'),
  ('boundary partial over', ([[150, '20.3', False, 150, '25', False]], 50), '+1.317'),
  ('boundary all out uses quota', ([[120, '15.2', True, 121, '18.1', False]], 20), '-0.661'),
  ('boundary invalid ball digit', ([[100, '10.6', False, 90, '10', False]], 20), 'invalid overs'),
  ('control no overs', ([[0, '0', False, 0, '0', False]], 20), 'no overs'),
  ('control negative rate', ([[100, '20', False, 160, '20', False]], 20), '-3.000'),
  ('regression: signed format', ([[117, '8.2', False, 249, '48.1', False]], 50), '+8.870'),
  ('regression: signed format',
   ([[142, '41.4', False, 177, '21', True],
     [164, '4.3', True, 198, '25.6', True],
     [249, '18.2', False, 154, '34.4', False]],
    20),
   '-0.147'),
  ('variant scenario 1',
   ([[244, '32.0', True, 245, '29.2', False], [136, '5.2', False, 309, '36.2', False]], 20),
   '+6.563'),
  ('variant scenario 2',
   ([[305, '0.2', False, 323, '48.4', True], [300, '1', False, 289, '43.5', False]], 20),
   '+444.163')],
 [('control single match', ([[300, '50', False, 250, '50', False]], 50), '+1.000'),
  ('boundary partial over', ([[150, '20.3', False, 150, '25', False]], 50), '+1.317'),
  ('boundary all out uses quota', ([[120, '15.2', True, 121, '18.1', False]], 20), '-0.661'),
  ('boundary invalid ball digit', ([[100, '10.6', False, 90, '10', False]], 20), 'invalid overs'),
  ('control no overs', ([[0, '0', False, 0, '0', False]], 20), 'no overs'),
  ('control negative rate', ([[100, '20', False, 160, '20', False]], 20), '-3.000'),
  ('regression: signed format',
   ([[337, '42.5', False, 347, '42.2', False],
     [272, '1.3', True, 291, '8.1', False],
     [345, '0.2', False, 254, '30.3', False],
     [350, '35.2', False, 96, '46.3', False]],
    50),
   '+2.399'),
  ('regression: signed format',
   ([[260, '44.0', False, 188, '34.4', True], [285, '32.4', True, 343, '12.5', False]], 50),
   '-2.653'),
  ('variant scenario 1',
   ([[153, '33.3', False, 283, '14.5', False],
     [81, '7.1', True, 186, '28.3', False],
     [171, '50.0', False, 88, '47.4', True],
     [251, '33.7', False, 264, '32.2', True]],
    50),
   'invalid overs'),
  ('variant scenario 2', ([[122, '43.5', True, 196, '46.3', False]], 20), '+1.885')],
 [('control single match', ([[300, '50', False, 250, '50', False]], 50), '+1.000'),
  ('boundary partial over', ([[150, '20.3', False, 150, '25', False]], 50), '+1.317'),
  ('boundary all out uses quota', ([[120, '15.2', True, 121, '18.1', False]], 20), '-0.661'),
  ('boundary invalid ball digit', ([[100, '10.6', False, 90, '10', False]], 20), 'invalid overs'),
  ('control no overs', ([[0, '0', False, 0, '0', False]], 20), 'no overs'),
  ('control negative rate', ([[100, '20', False, 160, '20', False]], 20), '-3.000'),
  ('regression: signed format',
   ([[346, '14.5', False, 358, '2', False], [334, '28.1', False, 343, '4.1', False]], 20),
   '-97.862'),
  ('regression: signed format',
   ([[235, '0.2', True, 147, '40.2', False], [244, '6.4', True, 292, '11.4', False]], 20),
   '+3.533'),
  ('variant scenario 1', ([[309, '10.0', False, 288, '21.1', True]], 50), '+25.140'),
  ('variant scenario 2',
   ([[294, '35.4', False, 358, '14.2', True],
     [196, '32.3', False, 198, '20.1', False],
     [208, '15.3', True, 108, '16.0', False],
     [307, '41.3', True, 167, '48.5', False]],
    50),
   '-0.179')],
 [('control single match', ([[300, '50', False, 250, '50', False]], 50), '+1.000'),
  ('boundary partial over', ([[150, '20.3', False, 150, '25', False]], 50), '+1.317'),
  ('boundary all out uses quota', ([[120, '15.2', True, 121, '18.1', False]], 20), '-0.661'),
  ('boundary invalid ball digit', ([[100, '10.6', False, 90, '10', False]], 20), 'invalid overs'),
  ('control no overs', ([[0, '0', False, 0, '0', False]], 20), 'no overs'),
  ('control negative rate', ([[100, '20', False, 160, '20', False]], 20), '-3.000'),
  ('regression: signed format',
   ([[302, '14', True, 149, '1.3', False], [327, '9.1', False, 331, '30.3', True]], 20),
   '-0.760'),
  ('regression: signed format',
   ([[333, '25.0', True, 148, '28.1', False],
     [94, '0.0', False, 102, '36.3', True],
     [114, '1.2', False, 242, '9.2', False]],
    20),
   '+16.803'),
  ('variant scenario 1',
   ([[158, '24.3', False, 222, '40.0', True],
     [153, '44.2', True, 220, '22.2', False],
     [108, '26.4', False, 312, '2.3', False],
     [317, '50.4', True, 132, '49', False]],
    20),
   '-1.369'),
  ('variant scenario 2',
   ([[220, '0.6', False, 358, '37.4', False],
     [297, '12.2', True, 340, '50', False],
     [209, '47.3', True, 198, '38.5', False],
     [331, '11.1', False, 245, '30.5', True],
     [324, '41.5', True, 219, '29.7', False]],
    50),
   'invalid overs')],
 [('control single match', ([[300, '50', False, 250, '50', False]], 50), '+1.000'),
  ('boundary partial over', ([[150, '20.3', False, 150, '25', False]], 50), '+1.317'),
  ('boundary all out uses quota', ([[120, '15.2', True, 121, '18.1', False]], 20), '-0.661'),
  ('boundary invalid ball digit', ([[100, '10.6', False, 90, '10', False]], 20), 'invalid overs'),
  ('control no overs', ([[0, '0', False, 0, '0', False]], 20), 'no overs'),
  ('control negative rate', ([[100, '20', False, 160, '20', False]], 20), '-3.000'),
  ('regression: signed format', ([[248, '40.3', False, 238, '37.5', True]], 50), '+1.363'),
  ('regression: signed format',
   ([[254, '38.0', False, 285, '35.3', False],
     [345, '5.2', False, 85, '45.1', True],
     [201, '5.2', False, 249, '4.5', False],
     [358, '16.0', True, 311, '10.3', True],
     [254, '48.4', False, 181, '0.4', False],
     [176, '38.5', True, 340, '49.2', False],
     [195, '33.1', True, 280, '1.1', False]],
    50),
   '-1.830'),
  ('variant scenario 1', ([[292, '33.4', False, 333, '28.6', True]], 50), '+2.013'),
  ('variant scenario 2',
   ([[264, '5.0', True, 270, '27.4', False],
     [323, '38.5', False, 241, '28.1', True],
     [271, '30.5', False, 261, '17.5', False],
     [192, '26.1', True, 258, '35', True],
     [197, '49.5', False, 190, '24.2', False],
     [356, '46.5', False, 276, '33.4', False],
     [342, '29.4', True, 191, '20.0', False]],
    50),
   '-1.400')]]
for label, args, expected in cases[N - 1]:
    check(label, run(args), expected)
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
control single match1.000+1.000Failed
boundary partial over1.317+1.317Failed
boundary all out uses quota-0.661-0.661Passed
boundary invalid ball digitinvalid oversinvalid oversPassed
control no oversno oversno oversPassed
control negative rate-3.000-3.000Passed
regression: signed format8.870+8.870Failed
regression: signed format-0.147-0.147Passed
variant scenario 16.563+6.563Failed
variant scenario 2444.163+444.163Failed

SHA-256 / 33bdc95b4f31909d2975ba9307afec1853e21940322b2d26bf4e6463e26c7efb

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
from fractions import Fraction
import math
N = 1
observations = []
def solve(matches, quota):
    def balls(text):
        whole, _, part = text.partition('.')
        part = int(part or 0)
        if part > 5:
            return None
        return int(whole) * 6 + part
    rf = bf = ra = ba = 0
    for runs_for, faced, out_for, runs_against, bowled, out_against in matches:
        f = quota * 6 if out_for else balls(faced)
        g = quota * 6 if out_against else balls(bowled)
        if f is None or g is None:
            return 'invalid overs'
        rf += runs_for
        bf += f
        ra += runs_against
        ba += g
    if bf == 0 or ba == 0:
        return 'no overs'
    value = Fraction(rf * 6, bf) - Fraction(ra * 6, ba)
    return '+%.3f' % float(value)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
def run(args):
    try:
        return solve(*args)
    except Exception as exc:
        return 'raised ' + type(exc).__name__
cases = [[('control single match', ([[300, '50', False, 250, '50', False]], 50), '+1.000'),
  ('boundary partial over', ([[150, '20.3', False, 150, '25', False]], 50), '+1.317'),
  ('boundary all out uses quota', ([[120, '15.2', True, 121, '18.1', False]], 20), '-0.661'),
  ('boundary invalid ball digit', ([[100, '10.6', False, 90, '10', False]], 20), 'invalid overs'),
  ('control no overs', ([[0, '0', False, 0, '0', False]], 20), 'no overs'),
  ('control negative rate', ([[100, '20', False, 160, '20', False]], 20), '-3.000'),
  ('regression: signed format', ([[117, '8.2', False, 249, '48.1', False]], 50), '+8.870'),
  ('regression: signed format',
   ([[142, '41.4', False, 177, '21', True],
     [164, '4.3', True, 198, '25.6', True],
     [249, '18.2', False, 154, '34.4', False]],
    20),
   '-0.147'),
  ('variant scenario 1',
   ([[244, '32.0', True, 245, '29.2', False], [136, '5.2', False, 309, '36.2', False]], 20),
   '+6.563'),
  ('variant scenario 2',
   ([[305, '0.2', False, 323, '48.4', True], [300, '1', False, 289, '43.5', False]], 20),
   '+444.163')],
 [('control single match', ([[300, '50', False, 250, '50', False]], 50), '+1.000'),
  ('boundary partial over', ([[150, '20.3', False, 150, '25', False]], 50), '+1.317'),
  ('boundary all out uses quota', ([[120, '15.2', True, 121, '18.1', False]], 20), '-0.661'),
  ('boundary invalid ball digit', ([[100, '10.6', False, 90, '10', False]], 20), 'invalid overs'),
  ('control no overs', ([[0, '0', False, 0, '0', False]], 20), 'no overs'),
  ('control negative rate', ([[100, '20', False, 160, '20', False]], 20), '-3.000'),
  ('regression: signed format',
   ([[337, '42.5', False, 347, '42.2', False],
     [272, '1.3', True, 291, '8.1', False],
     [345, '0.2', False, 254, '30.3', False],
     [350, '35.2', False, 96, '46.3', False]],
    50),
   '+2.399'),
  ('regression: signed format',
   ([[260, '44.0', False, 188, '34.4', True], [285, '32.4', True, 343, '12.5', False]], 50),
   '-2.653'),
  ('variant scenario 1',
   ([[153, '33.3', False, 283, '14.5', False],
     [81, '7.1', True, 186, '28.3', False],
     [171, '50.0', False, 88, '47.4', True],
     [251, '33.7', False, 264, '32.2', True]],
    50),
   'invalid overs'),
  ('variant scenario 2', ([[122, '43.5', True, 196, '46.3', False]], 20), '+1.885')],
 [('control single match', ([[300, '50', False, 250, '50', False]], 50), '+1.000'),
  ('boundary partial over', ([[150, '20.3', False, 150, '25', False]], 50), '+1.317'),
  ('boundary all out uses quota', ([[120, '15.2', True, 121, '18.1', False]], 20), '-0.661'),
  ('boundary invalid ball digit', ([[100, '10.6', False, 90, '10', False]], 20), 'invalid overs'),
  ('control no overs', ([[0, '0', False, 0, '0', False]], 20), 'no overs'),
  ('control negative rate', ([[100, '20', False, 160, '20', False]], 20), '-3.000'),
  ('regression: signed format',
   ([[346, '14.5', False, 358, '2', False], [334, '28.1', False, 343, '4.1', False]], 20),
   '-97.862'),
  ('regression: signed format',
   ([[235, '0.2', True, 147, '40.2', False], [244, '6.4', True, 292, '11.4', False]], 20),
   '+3.533'),
  ('variant scenario 1', ([[309, '10.0', False, 288, '21.1', True]], 50), '+25.140'),
  ('variant scenario 2',
   ([[294, '35.4', False, 358, '14.2', True],
     [196, '32.3', False, 198, '20.1', False],
     [208, '15.3', True, 108, '16.0', False],
     [307, '41.3', True, 167, '48.5', False]],
    50),
   '-0.179')],
 [('control single match', ([[300, '50', False, 250, '50', False]], 50), '+1.000'),
  ('boundary partial over', ([[150, '20.3', False, 150, '25', False]], 50), '+1.317'),
  ('boundary all out uses quota', ([[120, '15.2', True, 121, '18.1', False]], 20), '-0.661'),
  ('boundary invalid ball digit', ([[100, '10.6', False, 90, '10', False]], 20), 'invalid overs'),
  ('control no overs', ([[0, '0', False, 0, '0', False]], 20), 'no overs'),
  ('control negative rate', ([[100, '20', False, 160, '20', False]], 20), '-3.000'),
  ('regression: signed format',
   ([[302, '14', True, 149, '1.3', False], [327, '9.1', False, 331, '30.3', True]], 20),
   '-0.760'),
  ('regression: signed format',
   ([[333, '25.0', True, 148, '28.1', False],
     [94, '0.0', False, 102, '36.3', True],
     [114, '1.2', False, 242, '9.2', False]],
    20),
   '+16.803'),
  ('variant scenario 1',
   ([[158, '24.3', False, 222, '40.0', True],
     [153, '44.2', True, 220, '22.2', False],
     [108, '26.4', False, 312, '2.3', False],
     [317, '50.4', True, 132, '49', False]],
    20),
   '-1.369'),
  ('variant scenario 2',
   ([[220, '0.6', False, 358, '37.4', False],
     [297, '12.2', True, 340, '50', False],
     [209, '47.3', True, 198, '38.5', False],
     [331, '11.1', False, 245, '30.5', True],
     [324, '41.5', True, 219, '29.7', False]],
    50),
   'invalid overs')],
 [('control single match', ([[300, '50', False, 250, '50', False]], 50), '+1.000'),
  ('boundary partial over', ([[150, '20.3', False, 150, '25', False]], 50), '+1.317'),
  ('boundary all out uses quota', ([[120, '15.2', True, 121, '18.1', False]], 20), '-0.661'),
  ('boundary invalid ball digit', ([[100, '10.6', False, 90, '10', False]], 20), 'invalid overs'),
  ('control no overs', ([[0, '0', False, 0, '0', False]], 20), 'no overs'),
  ('control negative rate', ([[100, '20', False, 160, '20', False]], 20), '-3.000'),
  ('regression: signed format', ([[248, '40.3', False, 238, '37.5', True]], 50), '+1.363'),
  ('regression: signed format',
   ([[254, '38.0', False, 285, '35.3', False],
     [345, '5.2', False, 85, '45.1', True],
     [201, '5.2', False, 249, '4.5', False],
     [358, '16.0', True, 311, '10.3', True],
     [254, '48.4', False, 181, '0.4', False],
     [176, '38.5', True, 340, '49.2', False],
     [195, '33.1', True, 280, '1.1', False]],
    50),
   '-1.830'),
  ('variant scenario 1', ([[292, '33.4', False, 333, '28.6', True]], 50), '+2.013'),
  ('variant scenario 2',
   ([[264, '5.0', True, 270, '27.4', False],
     [323, '38.5', False, 241, '28.1', True],
     [271, '30.5', False, 261, '17.5', False],
     [192, '26.1', True, 258, '35', True],
     [197, '49.5', False, 190, '24.2', False],
     [356, '46.5', False, 276, '33.4', False],
     [342, '29.4', True, 191, '20.0', False]],
    50),
   '-1.400')]]
for label, args, expected in cases[N - 1]:
    check(label, run(args), expected)
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
control single match+1.000+1.000Passed
boundary partial over+1.317+1.317Passed
boundary all out uses quota+-0.661-0.661Failed
boundary invalid ball digitinvalid oversinvalid oversPassed
control no oversno oversno oversPassed
control negative rate+-3.000-3.000Failed
regression: signed format+8.870+8.870Passed
regression: signed format+-0.147-0.147Failed
variant scenario 1+6.563+6.563Passed
variant scenario 2+444.163+444.163Passed

SHA-256 / cc39ca1ab88541273f0f7d48f205746b32b47236824527c5ef1839ec129669d9

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This mechanism has 10 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.

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Verification & scope

Stipulated, bounded toy contract stated in the contract field; not a claim of conformance with any governing body rulebook or operator house rules. 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 2026-09-29T14:50:26.554347+00:00.

Case digest / 2c946733a3a522b8155fa3ba4fcecf62d93ed20731b331ce67d3bfdc3096d5ab