FA-71376 / Seismic magnitude estimation / Open access
Network magnitude from station magnitudes: rejection anchor · case 01
A single wild station drags the rejection window and good stations are dropped.
ROOT CAUSE
Outlier rejection is centred on the mean, which the outlier itself shifts.
VERIFIED REPAIR
Centre the rejection window on the median.
Unsuccessful approach: The midrange is even more sensitive to the outlier.
Case contract
Station magnitudes are integers in hundredths (None = no reading; 0 and negatives are valid). Require min_stations readings; take the median (mean of the middle pair for even counts), keep stations within 50 hundredths of it inclusive, require min_stations again, take the median of the kept set and round half up to 0.1 magnitude. Return [magnitude, kept count] or None.
Why this case matters
The published event magnitude is a robust network average of station magnitudes.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(station_mags, min_stations):
vals = sorted(m for m in station_mags if m is not None)
if len(vals) < min_stations:
return None
def med(xs):
n = len(xs)
mid = n // 2
return xs[mid] if n % 2 else (xs[mid - 1] + xs[mid]) / 2
m0 = sum(vals) / len(vals)
kept = [v for v in vals if abs(v - m0) <= 50]
if len(kept) < min_stations:
return None
m1 = med(kept)
tenths = int(math.floor((m1 + 5) / 10))
return [tenths / 10, len(kept)]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['event 0', [[274, 336, 318, 341, 328, None], 4], [3.3, 4]], ['event 1', [[381, 387, 376, 348, 397, 350, 333, 349, None], 3], [3.6, 8]], ['event 2', [[550, 532, 540, 504, 484, 528, 530, 570], 3], [5.3, 8]], ['event 3', [[-34, -47, 14, 21, -68], 3], [-0.4, 4]], ['event 4', [[101, 111, 104, 54, 138, None], 3], [1.0, 5]], ['event 5', [[168, 146, 176, 132, 162, 118, 174, 186], 4], [1.7, 8]], ['event 6', [[374, 385, 429, 376, 402, 398, 421, 340, None], 3], [4.0, 7]], ['event 7', [[469, 498, 493, 486, 467, 522], 4], [4.9, 6]]], [['event 7', [[469, 498, 493, 486, 467, 522], 4], [4.9, 6]], ['event 8', [[152, 146, 148, 165, 191], 3], [1.5, 5]], ['event 9', [[-26, -9, -1, 4, 0, 64, None], 4], [0.0, 5]], ['event 10', [[498, 507, 494, 464], 3], [5.0, 4]], ['event 11', [[189, 235, 240, 199, 215], 4], [2.2, 5]], ['event 12', [[106, 62, 76, 99, 87, 82, 116, 114, 149], 4], [1.0, 9]], ['event 14', [[125, 133, 111, 191, 191, 148, 241], 3], [1.4, 6]], ['event 19', [[160, 170, 168, 12, None], 3], [1.7, 3]]], [['event 14', [[125, 133, 111, 191, 191, 148, 241], 3], [1.4, 6]], ['event 15', [[381, 371, 330, 376, 403, 335, 339, 348, None], 3], [3.6, 8]], ['event 16', [[-23, -62, -35, -143], 4], None], ['event 17', [[432, 385, 408, 473], 4], None], ['event 18', [[9, 11, -21, 37, -4, 11], 3], [0.1, 6]], ['event 19', [[160, 170, 168, 12, None], 3], [1.7, 3]], ['event 25', [[545, 488, 482, 494, 603, None], 4], None], ['event 32', [[231, 238, 217, 239, 214, 186, 164, 154, None], 3], [2.2, 6]]], [['event 3', [[-34, -47, 14, 21, -68], 3], [-0.4, 4]], ['event 14', [[125, 133, 111, 191, 191, 148, 241], 3], [1.4, 6]], ['event 21', [[208, 239, 263, 248, 235, 223], 3], [2.4, 6]], ['event 22', [[347, 369, 375, 379, None], 3], [3.7, 4]], ['event 23', [[103, 63, 30, 93], 4], [0.8, 4]], ['event 24', [[142, 93, 150, 136, 125, 91, 82, 115, None], 4], [1.2, 8]], ['event 25', [[545, 488, 482, 494, 603, None], 4], None], ['event 26', [[55, 21, 75, 67, 25, 28], 3], [0.4, 6]]], [['event 17', [[432, 385, 408, 473], 4], None], ['event 28', [[483, 485, 434, 486, 504, 514, None], 3], [4.9, 5]], ['event 29', [[462, 439, 425, 447, 432, 317], 3], [4.4, 5]], ['event 30', [[34, 54, -15, -27], 4], [0.1, 4]], ['event 31', [[269, 318, 251, 298, 329], 3], [3.0, 5]], ['event 32', [[231, 238, 217, 239, 214, 186, 164, 154, None], 3], [2.2, 6]], ['event 33', [[523, 505, 529, 488, 514], 3], [5.1, 5]], ['even station count', [[310, 320, 330, 350], 3], [3.3, 4]]]]
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 |
|---|---|---|---|
| event 0 | [3.3, 5] | [3.3, 4] | Failed |
| event 1 | [3.6, 8] | [3.6, 8] | Passed |
| event 2 | [5.3, 8] | [5.3, 8] | Passed |
| event 3 | [-0.3, 5] | [-0.4, 4] | Failed |
| event 4 | [1.0, 5] | [1.0, 5] | Passed |
| event 5 | [1.7, 8] | [1.7, 8] | Passed |
| event 6 | [4.0, 7] | [4.0, 7] | Passed |
| event 7 | [4.9, 6] | [4.9, 6] | Passed |
SHA-256 / 5e66ef2201787a9aa9a9b434cc927d8b880ba36774dca2ba7fa502eacfd64aa4
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(station_mags, min_stations):
vals = sorted(m for m in station_mags if m is not None)
if len(vals) < min_stations:
return None
def med(xs):
n = len(xs)
mid = n // 2
return xs[mid] if n % 2 else (xs[mid - 1] + xs[mid]) / 2
m0 = (vals[0] + vals[-1]) / 2
kept = [v for v in vals if abs(v - m0) <= 50]
if len(kept) < min_stations:
return None
m1 = med(kept)
tenths = int(math.floor((m1 + 5) / 10))
return [tenths / 10, len(kept)]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['event 0', [[274, 336, 318, 341, 328, None], 4], [3.3, 4]], ['event 1', [[381, 387, 376, 348, 397, 350, 333, 349, None], 3], [3.6, 8]], ['event 2', [[550, 532, 540, 504, 484, 528, 530, 570], 3], [5.3, 8]], ['event 3', [[-34, -47, 14, 21, -68], 3], [-0.4, 4]], ['event 4', [[101, 111, 104, 54, 138, None], 3], [1.0, 5]], ['event 5', [[168, 146, 176, 132, 162, 118, 174, 186], 4], [1.7, 8]], ['event 6', [[374, 385, 429, 376, 402, 398, 421, 340, None], 3], [4.0, 7]], ['event 7', [[469, 498, 493, 486, 467, 522], 4], [4.9, 6]]], [['event 7', [[469, 498, 493, 486, 467, 522], 4], [4.9, 6]], ['event 8', [[152, 146, 148, 165, 191], 3], [1.5, 5]], ['event 9', [[-26, -9, -1, 4, 0, 64, None], 4], [0.0, 5]], ['event 10', [[498, 507, 494, 464], 3], [5.0, 4]], ['event 11', [[189, 235, 240, 199, 215], 4], [2.2, 5]], ['event 12', [[106, 62, 76, 99, 87, 82, 116, 114, 149], 4], [1.0, 9]], ['event 14', [[125, 133, 111, 191, 191, 148, 241], 3], [1.4, 6]], ['event 19', [[160, 170, 168, 12, None], 3], [1.7, 3]]], [['event 14', [[125, 133, 111, 191, 191, 148, 241], 3], [1.4, 6]], ['event 15', [[381, 371, 330, 376, 403, 335, 339, 348, None], 3], [3.6, 8]], ['event 16', [[-23, -62, -35, -143], 4], None], ['event 17', [[432, 385, 408, 473], 4], None], ['event 18', [[9, 11, -21, 37, -4, 11], 3], [0.1, 6]], ['event 19', [[160, 170, 168, 12, None], 3], [1.7, 3]], ['event 25', [[545, 488, 482, 494, 603, None], 4], None], ['event 32', [[231, 238, 217, 239, 214, 186, 164, 154, None], 3], [2.2, 6]]], [['event 3', [[-34, -47, 14, 21, -68], 3], [-0.4, 4]], ['event 14', [[125, 133, 111, 191, 191, 148, 241], 3], [1.4, 6]], ['event 21', [[208, 239, 263, 248, 235, 223], 3], [2.4, 6]], ['event 22', [[347, 369, 375, 379, None], 3], [3.7, 4]], ['event 23', [[103, 63, 30, 93], 4], [0.8, 4]], ['event 24', [[142, 93, 150, 136, 125, 91, 82, 115, None], 4], [1.2, 8]], ['event 25', [[545, 488, 482, 494, 603, None], 4], None], ['event 26', [[55, 21, 75, 67, 25, 28], 3], [0.4, 6]]], [['event 17', [[432, 385, 408, 473], 4], None], ['event 28', [[483, 485, 434, 486, 504, 514, None], 3], [4.9, 5]], ['event 29', [[462, 439, 425, 447, 432, 317], 3], [4.4, 5]], ['event 30', [[34, 54, -15, -27], 4], [0.1, 4]], ['event 31', [[269, 318, 251, 298, 329], 3], [3.0, 5]], ['event 32', [[231, 238, 217, 239, 214, 186, 164, 154, None], 3], [2.2, 6]], ['event 33', [[523, 505, 529, 488, 514], 3], [5.1, 5]], ['even station count', [[310, 320, 330, 350], 3], [3.3, 4]]]]
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 |
|---|---|---|---|
| event 0 | [3.3, 5] | [3.3, 4] | Failed |
| event 1 | [3.6, 8] | [3.6, 8] | Passed |
| event 2 | [5.3, 8] | [5.3, 8] | Passed |
| event 3 | [-0.3, 5] | [-0.4, 4] | Failed |
| event 4 | [1.0, 5] | [1.0, 5] | Passed |
| event 5 | [1.7, 8] | [1.7, 8] | Passed |
| event 6 | [3.9, 8] | [4.0, 7] | Failed |
| event 7 | [4.9, 6] | [4.9, 6] | Passed |
SHA-256 / 4b74e74eebce17e9054946e899df97c647f3b199110c74fff071b18568fbdbe8
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(station_mags, min_stations):
vals = sorted(m for m in station_mags if m is not None)
if len(vals) < min_stations:
return None
def med(xs):
n = len(xs)
mid = n // 2
return xs[mid] if n % 2 else (xs[mid - 1] + xs[mid]) / 2
m0 = med(vals)
kept = [v for v in vals if abs(v - m0) <= 50]
if len(kept) < min_stations:
return None
m1 = med(kept)
tenths = int(math.floor((m1 + 5) / 10))
return [tenths / 10, len(kept)]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['event 0', [[274, 336, 318, 341, 328, None], 4], [3.3, 4]], ['event 1', [[381, 387, 376, 348, 397, 350, 333, 349, None], 3], [3.6, 8]], ['event 2', [[550, 532, 540, 504, 484, 528, 530, 570], 3], [5.3, 8]], ['event 3', [[-34, -47, 14, 21, -68], 3], [-0.4, 4]], ['event 4', [[101, 111, 104, 54, 138, None], 3], [1.0, 5]], ['event 5', [[168, 146, 176, 132, 162, 118, 174, 186], 4], [1.7, 8]], ['event 6', [[374, 385, 429, 376, 402, 398, 421, 340, None], 3], [4.0, 7]], ['event 7', [[469, 498, 493, 486, 467, 522], 4], [4.9, 6]]], [['event 7', [[469, 498, 493, 486, 467, 522], 4], [4.9, 6]], ['event 8', [[152, 146, 148, 165, 191], 3], [1.5, 5]], ['event 9', [[-26, -9, -1, 4, 0, 64, None], 4], [0.0, 5]], ['event 10', [[498, 507, 494, 464], 3], [5.0, 4]], ['event 11', [[189, 235, 240, 199, 215], 4], [2.2, 5]], ['event 12', [[106, 62, 76, 99, 87, 82, 116, 114, 149], 4], [1.0, 9]], ['event 14', [[125, 133, 111, 191, 191, 148, 241], 3], [1.4, 6]], ['event 19', [[160, 170, 168, 12, None], 3], [1.7, 3]]], [['event 14', [[125, 133, 111, 191, 191, 148, 241], 3], [1.4, 6]], ['event 15', [[381, 371, 330, 376, 403, 335, 339, 348, None], 3], [3.6, 8]], ['event 16', [[-23, -62, -35, -143], 4], None], ['event 17', [[432, 385, 408, 473], 4], None], ['event 18', [[9, 11, -21, 37, -4, 11], 3], [0.1, 6]], ['event 19', [[160, 170, 168, 12, None], 3], [1.7, 3]], ['event 25', [[545, 488, 482, 494, 603, None], 4], None], ['event 32', [[231, 238, 217, 239, 214, 186, 164, 154, None], 3], [2.2, 6]]], [['event 3', [[-34, -47, 14, 21, -68], 3], [-0.4, 4]], ['event 14', [[125, 133, 111, 191, 191, 148, 241], 3], [1.4, 6]], ['event 21', [[208, 239, 263, 248, 235, 223], 3], [2.4, 6]], ['event 22', [[347, 369, 375, 379, None], 3], [3.7, 4]], ['event 23', [[103, 63, 30, 93], 4], [0.8, 4]], ['event 24', [[142, 93, 150, 136, 125, 91, 82, 115, None], 4], [1.2, 8]], ['event 25', [[545, 488, 482, 494, 603, None], 4], None], ['event 26', [[55, 21, 75, 67, 25, 28], 3], [0.4, 6]]], [['event 17', [[432, 385, 408, 473], 4], None], ['event 28', [[483, 485, 434, 486, 504, 514, None], 3], [4.9, 5]], ['event 29', [[462, 439, 425, 447, 432, 317], 3], [4.4, 5]], ['event 30', [[34, 54, -15, -27], 4], [0.1, 4]], ['event 31', [[269, 318, 251, 298, 329], 3], [3.0, 5]], ['event 32', [[231, 238, 217, 239, 214, 186, 164, 154, None], 3], [2.2, 6]], ['event 33', [[523, 505, 529, 488, 514], 3], [5.1, 5]], ['even station count', [[310, 320, 330, 350], 3], [3.3, 4]]]]
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 |
|---|---|---|---|
| event 0 | [3.3, 4] | [3.3, 4] | Passed |
| event 1 | [3.6, 8] | [3.6, 8] | Passed |
| event 2 | [5.3, 8] | [5.3, 8] | Passed |
| event 3 | [-0.4, 4] | [-0.4, 4] | Passed |
| event 4 | [1.0, 5] | [1.0, 5] | Passed |
| event 5 | [1.7, 8] | [1.7, 8] | Passed |
| event 6 | [4.0, 7] | [4.0, 7] | Passed |
| event 7 | [4.9, 6] | [4.9, 6] | Passed |
SHA-256 / b00172c0f069c55b0131a825eb483ecb21cc2a873b4bc64b113d5bbd847eec52
Verification & scope
Stipulated deterministic teaching model of a seismological magnitude procedure; constants and tables are fixed by the contract and no claim of agency or 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 2026-09-29T14:48:29.144999+00:00.
Case digest / b1124366c5f41ce7936e77ec86fc048ec02bb9d5625448c9784f48d5a7bd62f1