FA-70866 / Weather index computation / Open access

Wind chill from km/h anemometer: anemometer unit conversion · case 01

Wind chill is several degrees too cold for every windy reading.

Verified by executionVariant 1 · 8 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Kilometres per hour are multiplied by 1.609344 instead of divided, overstating the wind in mph.

VERIFIED REPAIR

Convert with wind_kmh / 1.609344.

Unsuccessful approach: Dividing by 1.852 treats the anemometer as knots and still misstates the wind.

Case contract

Input temperature in degF and wind in km/h. Convert wind to mph (divide by 1.609344). If T > 50 degF or wind below 3 mph, return T rounded to 0.1. Otherwise return 35.74 + 0.6215T - 35.75V^0.16 + 0.4275T*V^0.16 rounded to 0.1.

Why this case matters

Cold-weather advisories and frostbite timing use the wind chill index.

1 / The failure

Exit 1

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

N = 1
observations = []
def solve(t_f, wind_kmh):
    mph = wind_kmh * 1.609344
    if t_f > 50 or mph < 3:
        return round(t_f, 1)
    v = mph ** 0.16
    wc = 35.74 + 0.6215 * t_f - 35.75 * v + 0.4275 * t_f * v
    return round(wc, 1)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['-40F with 0 km/h wind', [-40, 0], -40], ['-40F with 3 km/h wind', [-40, 3], -40], ['-40F with 4 km/h wind', [-40, 4], -40], ['-40F with 4.8 km/h wind', [-40, 4.8], -40], ['-40F with 5 km/h wind', [-40, 5], -52.5], ['-40F with 8 km/h wind', [-40, 8], -57.4], ['-40F with 16 km/h wind', [-40, 16], -65.4], ['-40F with 32 km/h wind', [-40, 32], -74.4]], [['-40F with 5 km/h wind', [-40, 5], -52.5], ['-40F with 32 km/h wind', [-40, 32], -74.4], ['-40F with 64 km/h wind', [-40, 64], -84.4], ['-40F with 100 km/h wind', [-40, 100], -91.4], ['-20F with 0 km/h wind', [-20, 0], -20], ['-20F with 3 km/h wind', [-20, 3], -20], ['-20F with 4 km/h wind', [-20, 4], -20], ['-20F with 5 km/h wind', [-20, 5], -29.8]], [['-40F with 32 km/h wind', [-40, 32], -74.4], ['-20F with 5 km/h wind', [-20, 5], -29.8], ['-20F with 8 km/h wind', [-20, 8], -33.9], ['-20F with 16 km/h wind', [-20, 16], -40.7], ['-20F with 32 km/h wind', [-20, 32], -48.2], ['-20F with 64 km/h wind', [-20, 64], -56.5], ['-20F with 100 km/h wind', [-20, 100], -62.5], ['-5F with 0 km/h wind', [-5, 0], -5]], [['-20F with 3 km/h wind', [-20, 3], -20], ['-5F with 3 km/h wind', [-5, 3], -5], ['-5F with 4 km/h wind', [-5, 4], -5], ['-5F with 4.8 km/h wind', [-5, 4.8], -5], ['-5F with 5 km/h wind', [-5, 5], -12.8], ['-5F with 8 km/h wind', [-5, 8], -16.3], ['-5F with 16 km/h wind', [-5, 16], -22.1], ['-5F with 64 km/h wind', [-5, 64], -35.7]], [['-20F with 5 km/h wind', [-20, 5], -29.8], ['-5F with 64 km/h wind', [-5, 64], -35.7], ['-5F with 100 km/h wind', [-5, 100], -40.7], ['0F with 0 km/h wind', [0, 0], 0], ['0F with 3 km/h wind', [0, 3], 0], ['0F with 4 km/h wind', [0, 4], 0], ['0F with 4.8 km/h wind', [0, 4.8], 0], ['0F with 32 km/h wind', [0, 32], -21.9]]]
for label, args, expected in fixtures[N - 1]:
    check(label, solve(*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
-40F with 0 km/h wind	`-40`	`-40`	Passed
-40F with 3 km/h wind	`-57.1`	`-40`	Failed
-40F with 4 km/h wind	`-60.3`	`-40`	Failed
-40F with 4.8 km/h wind	`-62.4`	`-40`	Failed
-40F with 5 km/h wind	`-62.9`	`-52.5`	Failed
-40F with 8 km/h wind	`-68.7`	`-57.4`	Failed
-40F with 16 km/h wind	`-78.0`	`-65.4`	Failed
-40F with 32 km/h wind	`-88.4`	`-74.4`	Failed

SHA-256 / 0e6b6fe689763e00076956b7c3c5749a25547b0d2668c1aad238aad55dbbac76

2 / The unsuccessful fix

Exit 1

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

N = 1
observations = []
def solve(t_f, wind_kmh):
    mph = wind_kmh / 1.852
    if t_f > 50 or mph < 3:
        return round(t_f, 1)
    v = mph ** 0.16
    wc = 35.74 + 0.6215 * t_f - 35.75 * v + 0.4275 * t_f * v
    return round(wc, 1)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['-40F with 0 km/h wind', [-40, 0], -40], ['-40F with 3 km/h wind', [-40, 3], -40], ['-40F with 4 km/h wind', [-40, 4], -40], ['-40F with 4.8 km/h wind', [-40, 4.8], -40], ['-40F with 5 km/h wind', [-40, 5], -52.5], ['-40F with 8 km/h wind', [-40, 8], -57.4], ['-40F with 16 km/h wind', [-40, 16], -65.4], ['-40F with 32 km/h wind', [-40, 32], -74.4]], [['-40F with 5 km/h wind', [-40, 5], -52.5], ['-40F with 32 km/h wind', [-40, 32], -74.4], ['-40F with 64 km/h wind', [-40, 64], -84.4], ['-40F with 100 km/h wind', [-40, 100], -91.4], ['-20F with 0 km/h wind', [-20, 0], -20], ['-20F with 3 km/h wind', [-20, 3], -20], ['-20F with 4 km/h wind', [-20, 4], -20], ['-20F with 5 km/h wind', [-20, 5], -29.8]], [['-40F with 32 km/h wind', [-40, 32], -74.4], ['-20F with 5 km/h wind', [-20, 5], -29.8], ['-20F with 8 km/h wind', [-20, 8], -33.9], ['-20F with 16 km/h wind', [-20, 16], -40.7], ['-20F with 32 km/h wind', [-20, 32], -48.2], ['-20F with 64 km/h wind', [-20, 64], -56.5], ['-20F with 100 km/h wind', [-20, 100], -62.5], ['-5F with 0 km/h wind', [-5, 0], -5]], [['-20F with 3 km/h wind', [-20, 3], -20], ['-5F with 3 km/h wind', [-5, 3], -5], ['-5F with 4 km/h wind', [-5, 4], -5], ['-5F with 4.8 km/h wind', [-5, 4.8], -5], ['-5F with 5 km/h wind', [-5, 5], -12.8], ['-5F with 8 km/h wind', [-5, 8], -16.3], ['-5F with 16 km/h wind', [-5, 16], -22.1], ['-5F with 64 km/h wind', [-5, 64], -35.7]], [['-20F with 5 km/h wind', [-20, 5], -29.8], ['-5F with 64 km/h wind', [-5, 64], -35.7], ['-5F with 100 km/h wind', [-5, 100], -40.7], ['0F with 0 km/h wind', [0, 0], 0], ['0F with 3 km/h wind', [0, 3], 0], ['0F with 4 km/h wind', [0, 4], 0], ['0F with 4.8 km/h wind', [0, 4.8], 0], ['0F with 32 km/h wind', [0, 32], -21.9]]]
for label, args, expected in fixtures[N - 1]:
    check(label, solve(*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
-40F with 0 km/h wind	`-40`	`-40`	Passed
-40F with 3 km/h wind	`-40`	`-40`	Passed
-40F with 4 km/h wind	`-40`	`-40`	Passed
-40F with 4.8 km/h wind	`-40`	`-40`	Passed
-40F with 5 km/h wind	`-40`	`-52.5`	Failed
-40F with 8 km/h wind	`-55.9`	`-57.4`	Failed
-40F with 16 km/h wind	`-63.7`	`-65.4`	Failed
-40F with 32 km/h wind	`-72.5`	`-74.4`	Failed

SHA-256 / 7eb16ba7aa054ce28ce48ca03dde6053fc6bf7ba8c145543147315aeb84c587e

3 / The verified repair

Exit 0

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

N = 1
observations = []
def solve(t_f, wind_kmh):
    mph = wind_kmh / 1.609344
    if t_f > 50 or mph < 3:
        return round(t_f, 1)
    v = mph ** 0.16
    wc = 35.74 + 0.6215 * t_f - 35.75 * v + 0.4275 * t_f * v
    return round(wc, 1)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['-40F with 0 km/h wind', [-40, 0], -40], ['-40F with 3 km/h wind', [-40, 3], -40], ['-40F with 4 km/h wind', [-40, 4], -40], ['-40F with 4.8 km/h wind', [-40, 4.8], -40], ['-40F with 5 km/h wind', [-40, 5], -52.5], ['-40F with 8 km/h wind', [-40, 8], -57.4], ['-40F with 16 km/h wind', [-40, 16], -65.4], ['-40F with 32 km/h wind', [-40, 32], -74.4]], [['-40F with 5 km/h wind', [-40, 5], -52.5], ['-40F with 32 km/h wind', [-40, 32], -74.4], ['-40F with 64 km/h wind', [-40, 64], -84.4], ['-40F with 100 km/h wind', [-40, 100], -91.4], ['-20F with 0 km/h wind', [-20, 0], -20], ['-20F with 3 km/h wind', [-20, 3], -20], ['-20F with 4 km/h wind', [-20, 4], -20], ['-20F with 5 km/h wind', [-20, 5], -29.8]], [['-40F with 32 km/h wind', [-40, 32], -74.4], ['-20F with 5 km/h wind', [-20, 5], -29.8], ['-20F with 8 km/h wind', [-20, 8], -33.9], ['-20F with 16 km/h wind', [-20, 16], -40.7], ['-20F with 32 km/h wind', [-20, 32], -48.2], ['-20F with 64 km/h wind', [-20, 64], -56.5], ['-20F with 100 km/h wind', [-20, 100], -62.5], ['-5F with 0 km/h wind', [-5, 0], -5]], [['-20F with 3 km/h wind', [-20, 3], -20], ['-5F with 3 km/h wind', [-5, 3], -5], ['-5F with 4 km/h wind', [-5, 4], -5], ['-5F with 4.8 km/h wind', [-5, 4.8], -5], ['-5F with 5 km/h wind', [-5, 5], -12.8], ['-5F with 8 km/h wind', [-5, 8], -16.3], ['-5F with 16 km/h wind', [-5, 16], -22.1], ['-5F with 64 km/h wind', [-5, 64], -35.7]], [['-20F with 5 km/h wind', [-20, 5], -29.8], ['-5F with 64 km/h wind', [-5, 64], -35.7], ['-5F with 100 km/h wind', [-5, 100], -40.7], ['0F with 0 km/h wind', [0, 0], 0], ['0F with 3 km/h wind', [0, 3], 0], ['0F with 4 km/h wind', [0, 4], 0], ['0F with 4.8 km/h wind', [0, 4.8], 0], ['0F with 32 km/h wind', [0, 32], -21.9]]]
for label, args, expected in fixtures[N - 1]:
    check(label, solve(*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
-40F with 0 km/h wind	`-40`	`-40`	Passed
-40F with 3 km/h wind	`-40`	`-40`	Passed
-40F with 4 km/h wind	`-40`	`-40`	Passed
-40F with 4.8 km/h wind	`-40`	`-40`	Passed
-40F with 5 km/h wind	`-52.5`	`-52.5`	Passed
-40F with 8 km/h wind	`-57.4`	`-57.4`	Passed
-40F with 16 km/h wind	`-65.4`	`-65.4`	Passed
-40F with 32 km/h wind	`-74.4`	`-74.4`	Passed

SHA-256 / cfc5dff7556c6e8582557638adf36ad115b342a37d5e4808a7eca400aa398185

Verification & scope

Stipulated deterministic teaching model of an operational weather index; coefficients and thresholds are fixed by the contract and no claim of standards conformance is made. 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 2026-09-29T14:48:24.634695+00:00.

Case digest / ac3c3fc07d7d8069343043feb77c9eeb2bc8aa95e6861313083c8770ffe6048c