Approximation utility for expensive fitness functions
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
movado-0.7.4.tar.gz
(13.6 kB
view details)
Built Distribution
movado-0.7.4-py3-none-any.whl
(20.0 kB
view details)
File details
Details for the file movado-0.7.4.tar.gz
.
File metadata
- Download URL: movado-0.7.4.tar.gz
- Upload date:
- Size: 13.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.10.9 Linux/6.1.9-arch1-1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a26fb32f2762df530fc575da71ff9fb1229860dbe6c6c6b55c43f13d6e967eb7 |
|
MD5 | 9bc5e2a0964e572ba62d142caa6fa2f9 |
|
BLAKE2b-256 | d300febfb88bd1b69067e3f098bc3ee5d2fddffcd1717299c3450f54fa8e4059 |
File details
Details for the file movado-0.7.4-py3-none-any.whl
.
File metadata
- Download URL: movado-0.7.4-py3-none-any.whl
- Upload date:
- Size: 20.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.10.9 Linux/6.1.9-arch1-1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f48372291a9ddf0b7729f05af40b3f3fbc368b8cb9a98dda2ad1dc3a61f33015 |
|
MD5 | c5a6cc277b8eacd8aea3ccea34e5ae87 |
|
BLAKE2b-256 | 0468b3b6dc06d693aed1c59db4c7f542fa828a595cf5ddce09675e19b9ab9818 |