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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

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swh:1:cnt:375d7f9f30c86196de07686dd3d159978b96c8b5

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

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Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
import argparse
import datetime
import json
from pathlib import Path

from helpers import save_useful_info
from train import train


def train_zeggs():
    # Setting parser
    parser = argparse.ArgumentParser(description="Train ZEGGS Network.")

    # Hparams
    parser.add_argument(
        "-o",
        "--options",
        type=str,
        help="Options filename",
    )
    parser.add_argument('-n', '--name', type=str, help="Name", required=False)

    args = parser.parse_args()

    with open(args.options, "r") as f:
        options = json.load(f)
    if args.name:
        options["name"] = args.name

    train_options = options["train_opt"]
    network_options = options["net_opt"]
    paths = options["paths"]

    base_path = Path(paths["base_path"])
    path_processed_data = base_path / paths["path_processed_data"] / "processed_data.npz"
    path_data_definition = base_path / paths["path_processed_data"] / "data_definition.json"

    # Output directory
    if paths["output_dir"] is None:
        output_dir = (base_path / "outputs") / datetime.datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
        output_dir.mkdir(exist_ok=True, parents=True)
        paths["output_dir"] = str(output_dir)
    else:
        output_dir = Path(paths["output_dir"])

    # Path to models
    if paths["models_dir"] is None and not train_options["resume"]:
        models_dir = output_dir / "saved_models"
        models_dir.mkdir(exist_ok=True)
        paths["models_dir"] = str(models_dir)
    else:
        models_dir = Path(paths["models_dir"])

    # Log directory
    logs_dir = output_dir / "logs"
    logs_dir.mkdir(exist_ok=True)

    options["paths"] = paths
    with open(output_dir / 'options.json', 'w') as fp:
        json.dump(options, fp, indent=4)

    save_useful_info(output_dir)

    train(
        models_dir=models_dir,
        logs_dir=logs_dir,
        path_processed_data=path_processed_data,
        path_data_definition=path_data_definition,
        train_options=train_options,
        network_options=network_options,
    )


if __name__ == "__main__":
    train_zeggs()

# python .\main.py -o "../configs/configs.json" -n "test"

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Software Heritage — Copyright (C) 2015–2026, The Software Heritage developers. License: GNU AGPLv3+.
The source code of Software Heritage itself is available on our development forge.
The source code files archived by Software Heritage are available under their own copyright and licenses.
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