Reproducible V8, stored V5 row, token collision probability
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@@ -189,6 +189,10 @@ def main():
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"repeats": REPEATS,
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"decisions_per_point": N * U * REPEATS,
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"distinct_tokens": int(torch.unique(ids_all).numel()),
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# the chance that two independently drawn tokens coincide, which
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# is the floor the insider TER is measured against
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"token_collision": float(((torch.bincount(ids_all.reshape(-1)).double()
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/ ids_all.numel()) ** 2).sum()),
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"max_token_id": int(ids_all.max()),
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"headlines_scored": sum(len(b) for b in bounds),
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"headline_runs": REC_RUNS,
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