Research-Stack/5-Applications/tools-scripts/utils/generate_diat_tables.py
Devin AI 03b575830c fix(infra): restore saturating q16_mul in burgers, hw-specific DIAT to_q16, remove dead imports
- 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>
2026-06-16 01:42:10 +00:00

30 lines
993 B
Python

import math
from pathlib import Path
def to_q16_hw(val: float) -> int:
"""Convert float to Q16.16 for FPGA LUT (truncation + 32-bit unsigned mask)."""
return int(val * 65536) & 0xFFFFFFFF
def generate_mem_files():
# 256 entries, x = index / 16.0 (if we use ray_t[19:12] as addr)
# However, to avoid 1/0, we'll use x = max(0.0625, index / 16.0)
with open("0-Core-Formalism/core/hw/diat_inv_table.mem", "w") as f_inv, \
open("0-Core-Formalism/core/hw/diat_sqrt_table.mem", "w") as f_sqrt:
for i in range(256):
x = i / 16.0
if x == 0:
x = 1/16.0 # Smallest non-zero
y_inv = 1.0 / math.sqrt(x)
y_sqrt = math.sqrt(x)
f_inv.write(f"{to_q16_hw(y_inv):08x}\n")
f_sqrt.write(f"{to_q16_hw(y_sqrt):08x}\n")
print("Success: Generated diat_inv_table.mem and diat_sqrt_table.mem")
if __name__ == "__main__":
generate_mem_files()