Optimisation of propositional conjunctions about numerical data
Project description
Optikon
Fast optimisation of conjunctions of propositions over numerical datasets.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
optikon-0.3.0.tar.gz
(9.7 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
optikon-0.3.0-py3-none-any.whl
(10.4 kB
view details)
File details
Details for the file optikon-0.3.0.tar.gz.
File metadata
- Download URL: optikon-0.3.0.tar.gz
- Upload date:
- Size: 9.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5fbb9132ca8a3bbb054bf03c7634eb7d7fb4451d4916a0438e1dfc456c0988a9
|
|
| MD5 |
6e7485f66e200eba2d44c77d8d61dff8
|
|
| BLAKE2b-256 |
6f6a63ccd2b485ba54605833eff4bf608640ddc738971ff43c18bdca70f28614
|
File details
Details for the file optikon-0.3.0-py3-none-any.whl.
File metadata
- Download URL: optikon-0.3.0-py3-none-any.whl
- Upload date:
- Size: 10.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
48a928989f511e301592d670e4b5dbfb46819bff439ce7fa2701cbe29c56beab
|
|
| MD5 |
33a1c0228dbc88da17cf5555590b69db
|
|
| BLAKE2b-256 |
3d191f5cf2f043aae71c8eb5460f3b0add6364f960c4216918769ac1385bff01
|
