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Squash the four overlapping feature branches into a single change set against main, eliminating cross-PR merge conflicts and the duplicated CI-fix scripts. What this brings in (merge order #79 -> #80 -> #81 -> #89): - #79 refactor(infra): shared utilities (4-Infrastructure/lib/*: q16, hashing, jsonl, fraction_utils) + the scripts/math-first/* validators that the math-check CI requires. - #80 feat(lean): Semantics.E8Sidon (1025 lines) -- Eisenstein coefficient identity E4^2 = E8 and the Sidon framework. E4_sq_eq_E8_coeff is fully proved (all Fourier-coefficient extraction machine-checked); the single residual gap is pinned to E4_sq_eq_E8_qExpansion (Mathlib lacks the valence formula / dim M8 = 1). 4 sorries + 1 axiom (e8_additive_completeness), all TODO(lean-port). - #81 refactor(lean): Float-free FixedPoint core (integer-only sqrt/log2/expNeg). E8Sidon.lean kept at #80's final 1025-line version (the #81 intermediate 438-line copy was overridden by merge order). - #89 feat(lean): Semantics.RRC.PolyFactorIdentity -- short-sleeve polynomial detection at the zerocopy limb boundary; now imports Semantics.E8Sidon for sigma3/sigma7/convolutionLHS (single source of truth) instead of inlining them. Conflict resolution: - flake.nix -> canonical rs-surface removal (Garnix shutdown). - scripts/math-first/* -> byte-identical across branches, clean. - .cursorrules / AGENTS.md -> unified; baselines + sorry inventory refreshed. Verification: - lake build (default aggregator): 3573 jobs, 0 errors. - lake build Semantics.RRC.PolyFactorIdentity (E8Sidon + FixedPoint + PolyFactor): 3655 jobs, 0 errors. Witnesses verified (sigma7 4 = 16513, convolutionLHS 6 = 2350). - Python tests: 68/68 pass. Note: the "Workers Builds: researchstack" check is a preexisting external Cloudflare build unrelated to this change (no branch touches 4-Infrastructure/cloudflare/). Build: 3573 jobs (default), 3655 jobs (narrow), 0 errors Co-Authored-By: Allaun Silverfox <bigdataiscoming+9i37y6j2@protonmail.com>
59 lines
1.5 KiB
Python
59 lines
1.5 KiB
Python
"""
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Q16_16 fixed-point arithmetic for deterministic compute across all substrates.
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All thresholds and metric values are stored as Q16_16 integers.
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One = 0x00010000 = 65536. Float is forbidden in compute paths; the
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converters here are boundary-only (JSON parsing, display).
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"""
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from __future__ import annotations
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Q16_ONE: int = 0x00010000 # 65536
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Q16_HALF: int = 0x00008000
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Q16_SCALE: int = 65536
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def to_q16(value: float) -> int:
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"""Convert a float to Q16_16. Only allowed at the external boundary."""
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return int(round(value * Q16_ONE))
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def from_q16(value: int) -> float:
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"""Convert Q16_16 back to float. Only for display, never in compute."""
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return value / Q16_SCALE
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def q16_add(a: int, b: int) -> int:
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return a + b
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def q16_sub(a: int, b: int) -> int:
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return a - b
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def q16_mul(a: int, b: int) -> int:
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"""Multiply two Q16_16 values with normalization."""
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return (a * b) // Q16_ONE
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def q16_div(a: int, b: int) -> int:
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"""Divide two Q16_16 values with normalization."""
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if b == 0:
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raise ZeroDivisionError("Q16 division by zero")
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return (a * Q16_ONE) // b
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def q16_gt(a: int, b: int) -> bool:
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return a > b
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def q16_ge(a: int, b: int) -> bool:
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return a >= b
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def ratio_q16(numerator: float, denominator: float) -> int:
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"""Compute Q16_16 ratio of two floats, clamped to [0, 1]."""
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if denominator == 0:
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return 0
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r = numerator / denominator
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r = max(0.0, min(1.0, r))
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return int(r * Q16_ONE)
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