Dataset v3 (#1412)
Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com> Co-authored-by: Remi Cadene <re.cadene@gmail.com> Co-authored-by: Tavish <tavish9.chen@gmail.com> Co-authored-by: fracapuano <francesco.capuano@huggingface.co> Co-authored-by: CarolinePascal <caroline8.pascal@gmail.com>
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examples/port_datasets/display_error_files.py
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85
examples/port_datasets/display_error_files.py
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#!/usr/bin/env python
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# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import json
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from pathlib import Path
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def find_missing_workers(completions_dir, world_size):
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"""Find workers that are not completed and returns their indices."""
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full = list(range(world_size))
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completed = []
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for path in completions_dir.glob("*"):
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if path.name in [".", ".."]:
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continue
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index = path.name.lstrip("0")
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index = 0 if index == "" else int(index)
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completed.append(index)
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missing_workers = set(full) - set(completed)
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return missing_workers
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def find_output_files(slurm_dir, worker_indices):
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"""Find output files associated to worker indices, and return tuples
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of (worker index, output file path)
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"""
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out_files = []
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for path in slurm_dir.glob("*.out"):
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_, worker_id = path.name.replace(".out", "").split("_")
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worker_id = int(worker_id)
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if worker_id in worker_indices:
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out_files.append((worker_id, path))
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return out_files
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def display_error_files(logs_dir, job_name):
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executor_path = Path(logs_dir) / job_name / "executor.json"
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completions_dir = Path(logs_dir) / job_name / "completions"
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with open(executor_path) as f:
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executor = json.load(f)
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missing_workers = find_missing_workers(completions_dir, executor["world_size"])
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for missing in sorted(missing_workers)[::-1]:
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print(missing)
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--logs-dir",
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type=str,
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help="Path to logs directory for `datatrove`.",
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)
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parser.add_argument(
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"--job-name",
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type=str,
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default="port_droid",
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help="Job name used in slurm, and name of the directory created inside the provided logs directory.",
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)
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args = parser.parse_args()
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display_error_files(**vars(args))
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if __name__ == "__main__":
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main()
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