File size: 2,246 Bytes
4c2dbb2 | 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 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | from __future__ import annotations
import json
from pathlib import Path
import numpy as np
import torch
from physics import gray_scott_step, initial_state
PROJECT_DIR = Path(__file__).resolve().parent
DATA_DIR = PROJECT_DIR / "data"
SIZE = 32
TRAJECTORIES = 36
SAMPLES_PER_TRAJECTORY = 40
def main() -> None:
DATA_DIR.mkdir(parents=True, exist_ok=True)
rng = np.random.default_rng(2039)
states = []
next_states = []
feeds = []
kills = []
trajectory_ids = []
for trajectory in range(TRAJECTORIES):
feed = float(rng.uniform(0.025, 0.060))
kill = float(rng.uniform(0.050, 0.072))
feed_tensor = torch.tensor([feed])
kill_tensor = torch.tensor([kill])
state = initial_state(1, SIZE, seed=2039 + trajectory)
for step in range(SAMPLES_PER_TRAJECTORY * 2):
next_state = gray_scott_step(state, feed_tensor, kill_tensor)
if step % 2 == 0:
states.append(state[0].numpy())
next_states.append(next_state[0].numpy())
feeds.append(feed)
kills.append(kill)
trajectory_ids.append(trajectory)
state = next_state
arrays = {
"states": np.stack(states).astype(np.float32),
"next_states": np.stack(next_states).astype(np.float32),
"feeds": np.asarray(feeds, dtype=np.float32),
"kills": np.asarray(kills, dtype=np.float32),
"trajectory_ids": np.asarray(trajectory_ids, dtype=np.int64),
}
np.savez_compressed(DATA_DIR / "gray_scott_trajectories.npz", **arrays)
manifest = {
"grid_size": SIZE,
"trajectories": TRAJECTORIES,
"samples": len(states),
"samples_per_trajectory": SAMPLES_PER_TRAJECTORY,
"train_trajectories": list(range(0, 28)),
"validation_trajectories": list(range(28, 32)),
"test_trajectories": list(range(32, 36)),
"feed_range": [0.025, 0.060],
"kill_range": [0.050, 0.072],
"path": "gray_scott_trajectories.npz",
}
(DATA_DIR / "manifest.json").write_text(
json.dumps(manifest, indent=2),
encoding="utf-8",
)
print(json.dumps(manifest, indent=2))
if __name__ == "__main__":
main()
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