FA-84686 / Betting odds conversion / Open access
Explicit plus-sign American lines parsed as decimals · case 01
"+150" is read as a 150.00 decimal price, or empty input crashes.
ROOT CAUSE
Only a leading minus sign selects the American branch.
VERIFIED REPAIR
Treat a leading + or - as American and keep empty input invalid.
Unsuccessful approach: Indexing the first character crashes on empty input.
Case contract
Normalise user-typed odds to a decimal price string with two decimals (half up). Detection order: text containing "/" is fractional a/b; text starting with "+" or "-" is American (magnitude >= 100); an unsigned integer >= 100 is a positive American line; anything else is a decimal price, where a comma is the decimal separator ("2,50"). Unparseable input, zero denominators, magnitudes below 100 and results not above 1 return "invalid".
Why this case matters
Bet-slip inputs accept several odds formats and must not misclassify ambiguous text.
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(text):
t = text.strip()
try:
if '/' in t:
a, b = t.split('/')
dec = 1 + Fraction(int(a), int(b))
elif t[:1] == '-':
n = int(t[1:])
if n < 100:
return 'invalid'
dec = 1 + (Fraction(n, 100) if t[0] == '+' else Fraction(100, n))
elif t.isdigit() and int(t) >= 100:
dec = 1 + Fraction(int(t), 100)
else:
dec = Fraction(t.replace(',', '.'))
except (ValueError, ZeroDivisionError):
return 'invalid'
if dec <= 1:
return 'invalid'
c = math.floor(dec * 100 + Fraction(1, 2))
return '%d.%02d' % (c // 100, c % 100)
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 fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+487',), '5.87'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('3,36',), '3.36'),
('variant scenario 2', ('3/1',), '4.00')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+319',), '4.19'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('-595',), '1.17'),
('variant scenario 2', ('13/2',), '7.50')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('',), 'invalid'),
('regression: plus sign detection', ('+100',), '2.00'),
('variant scenario 1', ('3,07',), '3.07'),
('variant scenario 2', ('256',), '3.56')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+150',), '2.50'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('1.84',), '1.84'),
('variant scenario 2', ('6,57',), '6.57')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+553',), '6.53'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('-513',), '1.19'),
('variant scenario 2', ('191',), '2.91')]]
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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| control fractional | 3.50 | 3.50 | Passed |
| control negative american | 1.91 | 1.91 | Passed |
| boundary unsigned hundred | 2.00 | 2.00 | Passed |
| boundary small integer is decimal | 3.00 | 3.00 | Passed |
| boundary decimal comma | 2.50 | 2.50 | Passed |
| control empty input | invalid | invalid | Passed |
| regression: plus sign detection | 487.00 | 5.87 | Failed |
| regression: plus sign detection | invalid | invalid | Passed |
| variant scenario 1 | 3.36 | 3.36 | Passed |
| variant scenario 2 | 4.00 | 4.00 | Passed |
SHA-256 / 65e7c81a562b960bbe3134a15718508715be9a7c245d74fd35c5d712b929c0c5
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(text):
t = text.strip()
try:
if '/' in t:
a, b = t.split('/')
dec = 1 + Fraction(int(a), int(b))
elif t[0] in '+-':
n = int(t[1:])
if n < 100:
return 'invalid'
dec = 1 + (Fraction(n, 100) if t[0] == '+' else Fraction(100, n))
elif t.isdigit() and int(t) >= 100:
dec = 1 + Fraction(int(t), 100)
else:
dec = Fraction(t.replace(',', '.'))
except (ValueError, ZeroDivisionError):
return 'invalid'
if dec <= 1:
return 'invalid'
c = math.floor(dec * 100 + Fraction(1, 2))
return '%d.%02d' % (c // 100, c % 100)
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 fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+487',), '5.87'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('3,36',), '3.36'),
('variant scenario 2', ('3/1',), '4.00')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+319',), '4.19'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('-595',), '1.17'),
('variant scenario 2', ('13/2',), '7.50')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('',), 'invalid'),
('regression: plus sign detection', ('+100',), '2.00'),
('variant scenario 1', ('3,07',), '3.07'),
('variant scenario 2', ('256',), '3.56')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+150',), '2.50'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('1.84',), '1.84'),
('variant scenario 2', ('6,57',), '6.57')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+553',), '6.53'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('-513',), '1.19'),
('variant scenario 2', ('191',), '2.91')]]
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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| control fractional | 3.50 | 3.50 | Passed |
| control negative american | 1.91 | 1.91 | Passed |
| boundary unsigned hundred | 2.00 | 2.00 | Passed |
| boundary small integer is decimal | 3.00 | 3.00 | Passed |
| boundary decimal comma | 2.50 | 2.50 | Passed |
| control empty input | raised IndexError | invalid | Failed |
| regression: plus sign detection | 5.87 | 5.87 | Passed |
| regression: plus sign detection | raised IndexError | invalid | Failed |
| variant scenario 1 | 3.36 | 3.36 | Passed |
| variant scenario 2 | 4.00 | 4.00 | Passed |
SHA-256 / 993959a7ec9fa4a515520a42b99985ca1fea52f1596f7169fb7ff893ac17a3a3
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
from fractions import Fraction
import math
N = 1
observations = []
def solve(text):
t = text.strip()
try:
if '/' in t:
a, b = t.split('/')
dec = 1 + Fraction(int(a), int(b))
elif t[:1] in ('+', '-'):
n = int(t[1:])
if n < 100:
return 'invalid'
dec = 1 + (Fraction(n, 100) if t[0] == '+' else Fraction(100, n))
elif t.isdigit() and int(t) >= 100:
dec = 1 + Fraction(int(t), 100)
else:
dec = Fraction(t.replace(',', '.'))
except (ValueError, ZeroDivisionError):
return 'invalid'
if dec <= 1:
return 'invalid'
c = math.floor(dec * 100 + Fraction(1, 2))
return '%d.%02d' % (c // 100, c % 100)
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 fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+487',), '5.87'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('3,36',), '3.36'),
('variant scenario 2', ('3/1',), '4.00')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+319',), '4.19'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('-595',), '1.17'),
('variant scenario 2', ('13/2',), '7.50')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('',), 'invalid'),
('regression: plus sign detection', ('+100',), '2.00'),
('variant scenario 1', ('3,07',), '3.07'),
('variant scenario 2', ('256',), '3.56')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+150',), '2.50'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('1.84',), '1.84'),
('variant scenario 2', ('6,57',), '6.57')],
[('control fractional', ('5/2',), '3.50'),
('control negative american', ('-110',), '1.91'),
('boundary unsigned hundred', ('100',), '2.00'),
('boundary small integer is decimal', ('3',), '3.00'),
('boundary decimal comma', ('2,50',), '2.50'),
('control empty input', ('',), 'invalid'),
('regression: plus sign detection', ('+553',), '6.53'),
('regression: plus sign detection', ('',), 'invalid'),
('variant scenario 1', ('-513',), '1.19'),
('variant scenario 2', ('191',), '2.91')]]
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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| control fractional | 3.50 | 3.50 | Passed |
| control negative american | 1.91 | 1.91 | Passed |
| boundary unsigned hundred | 2.00 | 2.00 | Passed |
| boundary small integer is decimal | 3.00 | 3.00 | Passed |
| boundary decimal comma | 2.50 | 2.50 | Passed |
| control empty input | invalid | invalid | Passed |
| regression: plus sign detection | 5.87 | 5.87 | Passed |
| regression: plus sign detection | invalid | invalid | Passed |
| variant scenario 1 | 3.36 | 3.36 | Passed |
| variant scenario 2 | 4.00 | 4.00 | Passed |
SHA-256 / fc7786f59e1cd476e8265c4754aeb95b3451bcbb655a88b1321284d9e056dbf2
Verification & scope
Stipulated, bounded toy contract stated in the contract field; not a claim of conformance with any operator, exchange or regulator rule set. 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 2026-09-29T14:50:33.304488+00:00.
Case digest / 43a91961fac70e4d814d27a5a0107d3e98219530c2538c976cc9da74fb8b9383