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allaun
cf6096882f
Includes: - n-dimensional generic modules (BraidStateN, MatrixN, SpectralN, ClassifyN, FisherRigidityN, FixedPointBridge) - Feasible Set Theorem proofs + QUBO relaxation - Anti-smuggle protocol (seedlock, mutation testing, cross_validate, qc_flag, symbol verification) - Q16_16 bridge with quad matrix representation - Infrastructure scripts (entry gate, determinism checks) - Test suites for Lean modules, scripts, and QUBO pipeline - FixedPoint migration and HachimojiN8 updates - Documentation updates (ARCHITECTURE, GLOSSARY, DOCUMENT_SETS) - QUBO conflict sweep and FSR validation - GitHub Actions anti-smuggle workflow Build: 3307 jobs, 0 errors
86 lines
2.2 KiB
Python
86 lines
2.2 KiB
Python
"""seedlock.py — Deterministic RNG wrappers for all SilverSight shims.
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Usage:
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from seedlock import SeededRNG, lock
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lock(42) # called once at program start
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rng = SeededRNG(42)
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rng.random() # reproducible Python random
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rng.np_random() # reproducible NumPy random
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Enforcement:
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After lock(), direct random.seed() and np.random.seed() raise RuntimeError.
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"""
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from __future__ import annotations
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import os
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import random
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import sys
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from typing import Optional
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import numpy as np
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_LOCKED = False
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_GLOBAL_SEED: int = 0
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class SeededRNG:
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"""Deterministic RNG using Python's random.Random as the canonical source.
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Python's random.Random is specified by CPython and stable across platforms.
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NumPy's Generator may differ by version — NumPy is only used for array ops.
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"""
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def __init__(self, seed: int = 0):
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self._seed = seed
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self._py_rng = random.Random(seed)
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self._np_rng = np.random.default_rng(seed)
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def random(self) -> float:
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return self._py_rng.random()
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def randint(self, a: int, b: int) -> int:
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return self._py_rng.randint(a, b)
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def choice(self, seq):
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return self._py_rng.choice(seq)
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def shuffle(self, lst: list) -> None:
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self._py_rng.shuffle(lst)
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def np_random(self) -> np.random.Generator:
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return self._np_rng
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def seed(self, new_seed: int) -> None:
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self._seed = new_seed
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self._py_rng = random.Random(new_seed)
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self._np_rng = np.random.default_rng(new_seed)
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def lock(seed: int = 0):
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"""Lock global RNG. After this call, direct unseeded RNG calls raise RuntimeError."""
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global _LOCKED, _GLOBAL_SEED
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_GLOBAL_SEED = seed
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_LOCKED = True
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random.seed = _forbidden_seed # type: ignore
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# NumPy's random module may not have seed attribute in newer versions
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try:
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np.random.seed = _forbidden_seed # type: ignore
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except AttributeError:
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pass
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def is_locked() -> bool:
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return _LOCKED
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def global_seed() -> int:
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return _GLOBAL_SEED
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def _forbidden_seed(*args, **kwargs):
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raise RuntimeError(
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"Direct random.seed() call detected. "
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"Use seedlock.SeededRNG(seed) for explicit seeding. "
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"Layer 0 determinism violation."
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)
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