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-0.1.11.tar.gz
(28.5 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-0.1.11.tar.gz.
File metadata
- Download URL: granite-qc-0.1.11.tar.gz
- Upload date:
- Size: 28.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6543ea267a2bfc0024b526d66cff2e444c0423f909ed36e8a47a07697a06c48a
|
|
| MD5 |
442bafeec272441f51b81c6895c2947f
|
|
| BLAKE2b-256 |
b117ac5ec7f584c955bbbf5354d6e95d060593740f72b946187a869734a1f2b6
|
File details
Details for the file granite_qc-0.1.11-py3-none-any.whl.
File metadata
- Download URL: granite_qc-0.1.11-py3-none-any.whl
- Upload date:
- Size: 29.1 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 |
44b2893e79b5111bb803221e0eb23c659d9b5caca4439b0f5d90276200ee0105
|
|
| MD5 |
fb526305fe0dd36b2e9699a30392e4f9
|
|
| BLAKE2b-256 |
d66f8ede01f5fb649541ade7d19ee9a04f565004e93e8572c5cc64fc619b447b
|