A package for graph-based energy optimization using a trained model.
Project description
The author of this package has not provided a project description
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-0.1.0.tar.gz
(2.7 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-0.1.0.tar.gz.
File metadata
- Download URL: granite-qc-0.1.0.tar.gz
- Upload date:
- Size: 2.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5ff292fe58ff56891d340064e4eee56c6bdac1300036b4c13e710f9139c66de5
|
|
| MD5 |
98ea93938022c5288c31ce9b05d84592
|
|
| BLAKE2b-256 |
33f71b14c9507999d8dce6fedce37c395f6e1b6e755694f6827d5bcb5bd3d492
|
File details
Details for the file granite_qc-0.1.0-py3-none-any.whl.
File metadata
- Download URL: granite_qc-0.1.0-py3-none-any.whl
- Upload date:
- Size: 3.2 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 |
45d609c0d3daab9432fe5e1959499bdfd3e45cb1a996966823f925cef813a5c9
|
|
| MD5 |
0bc0e70e1cef53e1d540445656698042
|
|
| BLAKE2b-256 |
e29441f5e7008c9c7df0f31ab10aec279ea386195b42ef17314faf0274f9b85a
|
