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FA-99061 / Learning rate schedules / Open access

Staircase decay applies before the first interval boundary · case 01

Staircase decay applies before the first interval boundary.

Verified by executionVariant 1 · 6 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The interval quotient is incremented before exponentiation, so every step is one decay level early.

THE FAILURE

The interval quotient is incremented before exponentiation, so every step is one decay level early.

Unsuccessful approach: Shifting the step before integer division still crosses some interval boundaries early, including unit intervals.

Case contract

Return base*gamma**(step//interval) for nonnegative steps.

Why this case matters

A deterministic scalar schedule makes step-to-rate mapping explicit for a small training loop.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(step, base, gamma, interval):
    return base*gamma**(step//interval+1)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('before edge',solve(2,16,0.5,3),16); check('edge',solve(3,16,0.5,3),8); check('next interval',solve(6,16,0.5,3),4); check('zero',solve(0,7,0.2,4),7); check('negative clamp',solve(-1,9,0.5,3),9); check('unit interval',solve(2,8,0.5,1),2)
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
before edge8.016Failed
edge4.08Failed
next interval2.04Failed
zero1.40000000000000017Failed
negative clamp9.09Passed
unit interval1.02Failed

SHA-256 / 8d390de9a5f8cb927bfd697a24c3e450235c387109f6ae3cf16bc0c427e52c41

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(step, base, gamma, interval):
    return base*gamma**((step+1)//interval)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('before edge',solve(2,16,0.5,3),16); check('edge',solve(3,16,0.5,3),8); check('next interval',solve(6,16,0.5,3),4); check('zero',solve(0,7,0.2,4),7); check('negative clamp',solve(-1,9,0.5,3),9); check('unit interval',solve(2,8,0.5,1),2)
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
before edge8.016Failed
edge8.08Passed
next interval4.04Passed
zero7.07Passed
negative clamp9.09Passed
unit interval1.02Failed

SHA-256 / 843ae8f272eeb312badcf9b9599f38ed7275285511e064f678c1b6ccb32c2803

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 6 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.

Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.

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Verification & scope

These are toy scalar contracts with integer steps and finite parameters; they do not model framework defaults or optimizer state. 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 2026-09-30T16:48:19.909763+00:00.

Case digest / ab21ad33db4e3fce079d53364f8834097decb1407902747d53396adcd20dda83