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ce5eed4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | # polygloss_cfd.py — Multi-CPU Quantarion CFD
import dragon
import dragon.rpc as rpc
import numpy as np
from scipy.fft import fft2
PHI_43 = 22.93606797749979
# Multi-CPU init (32 cores)
dragon.init(backend='mpi')
world = rpc.new_world_group()
rank = world.rank
# Hyperbolic CFD grid (L26 → 512³)
if rank == 0:
grid = np.random.randn(512,512,512).astype(np.float32)
grid /= PHI_43 # φ⁴³ normalization
world.bcast(grid)
# CFD loop + Zeno observation
for step in range(10000):
# Navier-Stokes step (distributed)
grid = dragon.navier_stokes_step(grid, dt=0.02)
if step % 10 == 0: # Zeno sampling
slice_2d = grid[rank*16:(rank+1)*16] # Domain decomp
fft_feats = fft2(slice_2d[:,:,0]) # Local FFT
coherence = np.abs(fft_feats).mean() / PHI_43
# Global reduce
global_coherence = world.allreduce(coherence, 'mean')
if rank == 0 and global_coherence > 0.95:
print(f"φ⁴³ coherence: {global_coherence:.6f}")
dragon.finalize() |