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Upload windtunnel.py with huggingface_hub

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  1. windtunnel.py +67 -0
windtunnel.py ADDED
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+ import json
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+ import os
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+ import datasets
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+
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+
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+ class WindtunnelDataset(datasets.GeneratorBasedBuilder):
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+ """Dataset for loading simulation data with JSON and mesh files"""
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+
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+ def _info(self):
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+ print("nnnnn")
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+ return datasets.DatasetInfo(
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+ features=datasets.Features(
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+ {
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+ "coeff": datasets.Value("binary"), # JSON file as a dictionary
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+ "input": datasets.Value("binary"), # JSON file as a dictionary
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+ "input_mesh": datasets.Value("binary"), # OBJ mesh file as binary
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+ "openfoam_mesh": datasets.Value(
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+ "binary"
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+ ), # OBJ mesh file as binary
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+ "pressure_field_mesh": datasets.Value(
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+ "binary"
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+ ), # VTK file as binary
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+ "streamlines_mesh": datasets.Value("binary"), # PLY file as binary
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+ }
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+ ),
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+ homepage="https://inductiva.ai",
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ dl_dir = dl_manager.download(
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+ {
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+ "data": "data",
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+ }
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+ )
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+ print("aaaaa")
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+ """Define the splits for the dataset."""
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+ train_dir = "train"
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+ val_dir = "validation"
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+ test_dir = "test"
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+ print("zzzzz")
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+ print(os.getcwd())
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN, gen_kwargs={"path": train_dir}
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.VALIDATION,
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+ gen_kwargs={"path": val_dir},
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TEST,
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+ gen_kwargs={"path": test_dir},
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+ ),
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+ ]
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+
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+ def _generate_examples(self, path):
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+ """Generate examples for each split."""
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+ id = 0
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+ for root, dirs, files in os.walk(path):
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+ for file in files:
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+ yield (
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+ id,
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+ {
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+ "label": id,
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+ },
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+ )
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+ id += 1