import datasets
import numpy as np

test_ds = datasets.load_dataset("dataset/rotor37_data.py", split="test")
test_ds = test_ds.with_format("torch")
print(test_ds)

train_ds = datasets.load_dataset("dataset/rotor37_data.py", split="train")
train_ds = train_ds.with_format("torch")
print(train_ds)

# save pointcloud to txt for paraview viz
for idx, blade in enumerate(test_ds):
    pc = blade["positions"]

    # unnormalize
    pc = pc * blade["std"] + blade["mean"]

    print(f"Saving point cloud {idx}...")
    np.savetxt(f"pc_{idx}.txt", pc)

    if idx >= 10:
        break