Files
resonance-engine/archive/misc/render_etches.py
T
Scruff AI 56c71c87b2 restructure: proper project layout, README, kill training
- cuda/ — main LBM kernel (khra_gixx_1024_v5.cu)
- navigator/ — lattice_observer, golden_weave, bridges, mock daemon
- scripts/ — compile, start, launch, setup (paths updated)
- docs/ — system manual
- archive/ — everything else (old kernels, inquiries, experiments)
- README.md — full setup guide: requirements, quick start, use your own LLM
- removed training/ entirely (broken LoRA scripts + datasets)
- .gitignore: exclude build/ logs/ training/ *.jsonl
2026-03-24 12:58:19 +07:00

61 lines
1.9 KiB
Python

# Render etch images
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
NX = 512
NY = 512
def load_etch(filename):
with open(filename, 'rb') as f:
rho = np.frombuffer(f.read(NX * NY * 4), dtype=np.float32).reshape(NY, NX)
ux = np.frombuffer(f.read(NX * NY * 4), dtype=np.float32).reshape(NY, NX)
uy = np.frombuffer(f.read(NX * NY * 4), dtype=np.float32).reshape(NY, NX)
return rho, ux, uy
def render_etch(filename, output_name):
rho, ux, uy = load_etch(filename)
# Velocity magnitude
u_mag = np.sqrt(ux**2 + uy**2)
# Vorticity (curl of velocity)
dux_dy = np.gradient(ux, axis=0)
duy_dx = np.gradient(uy, axis=1)
vorticity = duy_dx - dux_dy
fig, axes = plt.subplots(1, 3, figsize=(15, 5))
# Density
im0 = axes[0].imshow(rho, cmap='viridis', origin='lower')
axes[0].set_title('Density')
axes[0].axis('off')
plt.colorbar(im0, ax=axes[0], fraction=0.046)
# Velocity magnitude
im1 = axes[1].imshow(u_mag, cmap='hot', origin='lower', vmin=0, vmax=np.percentile(u_mag, 99))
axes[1].set_title('Velocity Magnitude')
axes[1].axis('off')
plt.colorbar(im1, ax=axes[1], fraction=0.046)
# Vorticity
vmax = np.percentile(np.abs(vorticity), 99)
im2 = axes[2].imshow(vorticity, cmap='RdBu_r', origin='lower', vmin=-vmax, vmax=vmax)
axes[2].set_title('Vorticity')
axes[2].axis('off')
plt.colorbar(im2, ax=axes[2], fraction=0.046)
plt.tight_layout()
plt.savefig(output_name, dpi=150, bbox_inches='tight')
print(f"Saved: {output_name}")
plt.close()
return rho, u_mag, vorticity
# Render etch 1 (10k) and etch 49 (490k)
render_etch(r'D:\fractal-brain\beast-build\etch_00010000.bin', 'etch_10k.png')
render_etch(r'D:\fractal-brain\beast-build\etch_00490000.bin', 'etch_490k.png')
print("\nDone. Compare etch_10k.png vs etch_490k.png")