A framework that provides the ability to easily and reliably implement nature-inspired optimization meta-heuristics.
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
cify-0.0.2.tar.gz
(11.0 kB
view details)
Built Distribution
cify-0.0.2-py3-none-any.whl
(13.8 kB
view details)
File details
Details for the file cify-0.0.2.tar.gz
.
File metadata
- Download URL: cify-0.0.2.tar.gz
- Upload date:
- Size: 11.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6c5b6376b26eb9dbab623a5207ba87d3797c5cb2af6f4e5e0ea1376459ad451d |
|
MD5 | e5be09d9df38067ecc26512149ad5eab |
|
BLAKE2b-256 | 2025720d07945452fb1375671dadbbd8940dfc66aa1dd4904bd51613f6039527 |
File details
Details for the file cify-0.0.2-py3-none-any.whl
.
File metadata
- Download URL: cify-0.0.2-py3-none-any.whl
- Upload date:
- Size: 13.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7e28dfeda55dd40776adf287fb094657a310dba71148b2ae8f6d3361dfbfed23 |
|
MD5 | 0c2cd082590d679904206eec5b4f78b1 |
|
BLAKE2b-256 | 3fb2e67e9fe0deca16bbac01bc7e313bfed684f149bb0795a2a1d62143cacfbe |