Skip to main content

A package for graph-based energy optimization using a trained model.

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

granite-qc-0.1.4.tar.gz (25.9 kB view details)

Uploaded Source

Built Distribution

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

granite_qc-0.1.4-py3-none-any.whl (26.3 kB view details)

Uploaded Python 3

File details

Details for the file granite-qc-0.1.4.tar.gz.

File metadata

  • Download URL: granite-qc-0.1.4.tar.gz
  • Upload date:
  • Size: 25.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.18

File hashes

Hashes for granite-qc-0.1.4.tar.gz
Algorithm Hash digest
SHA256 fc96391745f7a8d6011779f672d400d56c77411d0fd9010f8c1ad5db50e1ded0
MD5 7a3be613da2329a6cd15d3281e4458b6
BLAKE2b-256 a108166753bc30967be401405ac9bc19c9f1471b22b09a6935c0bd1ea1313002

See more details on using hashes here.

File details

Details for the file granite_qc-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: granite_qc-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 26.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.18

File hashes

Hashes for granite_qc-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 509a04b23691568df49d4b4a1d5df6eea0c02feb1f91aa8e0af25a25fda7593b
MD5 3c842758b37cac3f54559baa672caf8b
BLAKE2b-256 bcb3cbeb5c4e419440339b4e3110330be73e14aeaa4d46901fa41144a011f38a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page