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Token sampling: Presence penalty scales with repeated history count · case 03

Presence penalty scales with repeated history count.

Member previewVariant 3 · 3 implementations · 6 checks per implementation

Case contract

Subtract penalty exactly once from each scored token appearing at least once in history; other scores are unchanged.

Why this case matters

A finite, deterministic token-selection contract isolates one decoding operation from model inference and runtime behavior.

One recorded failure

Sample boundary fixture

This sample comes from the broken implementation of a controlled reproducer.

Boundary fixtureActualExpectedOutcome
duplicate history{"a": -1.0, "b": 2.0}{"a": 3.5, "b": 2.0}Failed

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