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Generates file hash reports

Project description

Generates File Hash Reports

A simple utility to generate hash reports.

Example

import logging

from shapeandshare.fingerprint.dataset import DataSet

if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO)

    data_set: DataSet = DataSet(name="dataset", search_path=".")
    data_set.hash()
    data_set.generate_dataframe()

Project details


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Source Distribution

shapeandshare-fingerprint-dataset-0.3.0.tar.gz (5.9 kB view details)

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Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file shapeandshare-fingerprint-dataset-0.3.0.tar.gz.

File metadata

  • Download URL: shapeandshare-fingerprint-dataset-0.3.0.tar.gz
  • Upload date:
  • Size: 5.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for shapeandshare-fingerprint-dataset-0.3.0.tar.gz
Algorithm Hash digest
SHA256 080789ebaf0fab57bb5bc5ec2bfc642719720237b20f73a90e66f0497baf77f0
MD5 ca63cb0899631e29d73a2f91de20d562
BLAKE2b-256 50e4c04595b49c7bf390046e1be34cf95d31f028b07a3703525a21fe485507b5

See more details on using hashes here.

File details

Details for the file shapeandshare_fingerprint_dataset-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: shapeandshare_fingerprint_dataset-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for shapeandshare_fingerprint_dataset-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 976fc77679951a5332f0b8a877912ceb59c3bffb493aca22d03f0d4931f1d058
MD5 0ff242905595da410c0a665fba16bc13
BLAKE2b-256 1a95f126b01b2b1ae5c861c15ecf7f6c13f09833d3b66fbf6930855c9325540b

See more details on using hashes here.

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