Download source/launch_process_dataset.py from Almanach-HF/flowshop_transformer: direct link, hf CLI and curl.
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- Download file 526 Bytes
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https://huggingface.co/Almanach-HF/flowshop_transformer/resolve/main/source/launch_process_dataset.py
- Command line
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hf download hf://Almanach-HF/flowshop_transformer/source/launch_process_dataset.py
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curl -L -o launch_process_dataset.py https://huggingface.co/Almanach-HF/flowshop_transformer/resolve/main/source/launch_process_dataset.py
526 Bytes
| from process_dataset import process_dataset | |
| params = [ | |
| { | |
| "input_dir": f"../datasets/exhaustive_{nb_jobs}_{nb_machines}", | |
| "output_dir": f"../datasets/exhaustive_{nb_jobs}_{nb_machines}/top_{k_eliminated}", | |
| "train_ratio": 0.85, | |
| "seed": 97, | |
| "eliminate_top_k_makespans": k_eliminated, | |
| "duplication_factor": 0.0, | |
| } | |
| for nb_jobs in range(7, 11) | |
| for nb_machines in range(2, 7) | |
| for k_eliminated in [0, 1, 2, 3, 4] | |
| ] | |
| for param in params: | |
| process_dataset(**param) |