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
Release history Release notifications | RSS feed
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)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fc96391745f7a8d6011779f672d400d56c77411d0fd9010f8c1ad5db50e1ded0
|
|
| MD5 |
7a3be613da2329a6cd15d3281e4458b6
|
|
| BLAKE2b-256 |
a108166753bc30967be401405ac9bc19c9f1471b22b09a6935c0bd1ea1313002
|
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
509a04b23691568df49d4b4a1d5df6eea0c02feb1f91aa8e0af25a25fda7593b
|
|
| MD5 |
3c842758b37cac3f54559baa672caf8b
|
|
| BLAKE2b-256 |
bcb3cbeb5c4e419440339b4e3110330be73e14aeaa4d46901fa41144a011f38a
|