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https://github.com/allaunthefox/Research-Stack.git
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f6f9122d24
- write_jsonl: add path.parent.mkdir(parents=True, exist_ok=True) to prevent FileNotFoundError when output dir doesn't exist - write_jsonl: add sort_keys=True to match original callers' deterministic output behavior (AGENTS.md: identical SHA256 on consecutive runs) - q16_div: raise ZeroDivisionError instead of silently returning 0, matching the original fractal_dimension.py semantics 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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