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03b575830c
- burgers_triad_core.py: restore local saturating q16_mul (uses q16_sat for 32-bit clamping + diagnostic counter); only import Q16_ONE from lib - generate_diat_tables.py: restore hardware-specific to_q16_hw with truncation + 0xFFFFFFFF mask (FPGA LUT semantics differ from lib rounding) - Remove dead imports: generate_avm_gold_trace (to_q16 unused), scale_space_solver (q16_mul unused), fractal_dimension (q16_div/q16_mul unused — file has its own local clamping versions) - Fix PEP8 E302 missing blank lines in underverse_closure.py Co-Authored-By: Allaun Silverfox <bigdataiscoming+9i37y6j2@protonmail.com>
120 lines
3 KiB
Python
120 lines
3 KiB
Python
import numpy as np
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parents[3] / "4-Infrastructure"))
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from lib.q16 import Q16_ONE
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# Phase 1 — Build BurgersTriadCore
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# Q16.16 in the AVM hot path
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# Q16.16 Constants
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Q16_SHIFT = 16
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Q16_MAX = (1 << 31) - 1
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Q16_MIN = -(1 << 31)
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def float_to_q16(f: float) -> int:
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return q16_sat(int(f * Q16_ONE))
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def q16_to_float(q: int) -> float:
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return q / Q16_ONE
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_sat_count = 0
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def get_sat_count() -> int:
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global _sat_count
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return _sat_count
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def reset_sat_count():
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global _sat_count
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_sat_count = 0
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def q16_sat(x: int) -> int:
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"""Saturate to 32-bit signed integer."""
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global _sat_count
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if x > Q16_MAX:
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_sat_count += 1
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return Q16_MAX
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if x < Q16_MIN:
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_sat_count += 1
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return Q16_MIN
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return x
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def q16_mul(x: int, y: int) -> int:
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"""Q16.16 Multiplication with saturation."""
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res = (x * y) >> Q16_SHIFT
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return q16_sat(res)
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def triad_rhs(a: tuple[int, int, int], nu_eff: int) -> tuple[int, int, int]:
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"""
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Triad equations (Burgers):
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da1/dt = -nu_eff a1 + 1/2(a1a2 + a2a3)
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da2/dt = -4nu_eff a2 - 1/2 a1^2 + a1a3
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da3/dt = -9nu_eff a3 - 3/2 a1a2
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"""
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a1, a2, a3 = a
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# Precompute products
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a1_a2 = q16_mul(a1, a2)
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a2_a3 = q16_mul(a2, a3)
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a1_a3 = q16_mul(a1, a3)
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a1_a1 = q16_mul(a1, a1)
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# 1/2 is (1 << 15), 3/2 is (3 << 15), etc. Or just multiply and divide by 2
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# To maintain Q16 semantics, we can multiply by Q16 constants:
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HALF = 1 << 15
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THREE_HALVES = 3 << 15
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# da1/dt = -nu_eff * a1 + 1/2 * (a1a2 + a2a3)
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t1_1 = -q16_mul(nu_eff, a1)
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t1_2 = q16_mul(HALF, q16_sat(a1_a2 + a2_a3))
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da1 = q16_sat(t1_1 + t1_2)
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# da2/dt = -4 * nu_eff * a2 - 1/2 * a1^2 + a1a3
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FOUR = 4 << Q16_SHIFT
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t2_1 = -q16_mul(q16_mul(FOUR, nu_eff), a2)
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t2_2 = -q16_mul(HALF, a1_a1)
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t2_3 = a1_a3
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da2 = q16_sat(q16_sat(t2_1 + t2_2) + t2_3)
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# da3/dt = -9 * nu_eff * a3 - 3/2 * a1a2
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NINE = 9 << Q16_SHIFT
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t3_1 = -q16_mul(q16_mul(NINE, nu_eff), a3)
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t3_2 = -q16_mul(THREE_HALVES, a1_a2)
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da3 = q16_sat(t3_1 + t3_2)
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return (da1, da2, da3)
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def rk2_step(a: tuple[int, int, int], nu_eff: int, dt: int) -> tuple[int, int, int]:
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"""Midpoint RK2 step in Q16.16."""
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a1, a2, a3 = a
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k1 = triad_rhs(a, nu_eff)
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# Midpoint
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half_dt = dt >> 1
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a_mid = (
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q16_sat(a1 + q16_mul(k1[0], half_dt)),
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q16_sat(a2 + q16_mul(k1[1], half_dt)),
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q16_sat(a3 + q16_mul(k1[2], half_dt))
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)
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k2 = triad_rhs(a_mid, nu_eff)
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# Full step
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a_next = (
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q16_sat(a1 + q16_mul(k2[0], dt)),
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q16_sat(a2 + q16_mul(k2[1], dt)),
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q16_sat(a3 + q16_mul(k2[2], dt))
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)
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return a_next
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def energy3(a: tuple[int, int, int]) -> int:
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"""E = 1/2 (a1^2 + a2^2 + a3^2) in Q16.16."""
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a1, a2, a3 = a
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sum_sq = q16_sat(q16_sat(q16_mul(a1, a1) + q16_mul(a2, a2)) + q16_mul(a3, a3))
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HALF = 1 << 15
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return q16_mul(HALF, sum_sq)
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