Create Dragon-CFD.py

Dragon-CFD.py

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+# 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()