A local cache for penalty models.
Project description
Penalty Model Cache
A local cache for penalty models. Serves as a factory and cache for penaltymodel.
On install, penaltymodel_cache registers an entry point that can be read by
penaltymodel. By identifying itself as both a cache and a factory, it will
be used automatically by any project that uses penaltymodel’s get_penalty_model
function. It will also be automatically populated
Installing
To install:
pip install penaltymodel_cache
To build from source:
cd penaltymodel_cache
pip install -r requirements.txt
pip install -e ../penaltymodel_core/
python setup.py install
Cache Location
If installed inside of a virtual environment, penaltymodel_cache will
store the database in /path/to/virtualenv/data/app_name
. Otherwise
the cache will be placed in the system’s application data directory.
License
Released under the Apache License 2.0. See LICENSE
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
Built Distribution
File details
Details for the file penaltymodel-cache-0.4.5.tar.gz
.
File metadata
- Download URL: penaltymodel-cache-0.4.5.tar.gz
- Upload date:
- Size: 9.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 84167042a62f16f47bb98286a163c365d416f23b9f2ba86a928b56d25c2d5d17 |
|
MD5 | 9f689b9451b2e0f40545ed9554e216b7 |
|
BLAKE2b-256 | 72bc5244b79baa28d979eca8491ec8f6fd1fcf47dce96e6f5e7ab1efdc536ada |
File details
Details for the file penaltymodel_cache-0.4.5-py3-none-any.whl
.
File metadata
- Download URL: penaltymodel_cache-0.4.5-py3-none-any.whl
- Upload date:
- Size: 12.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4872ffc070aaba6308358fd4180ae647c01f5509173cf774e2c10294452e92d7 |
|
MD5 | 38945174a2883e06625a2f6c5b5e68b2 |
|
BLAKE2b-256 | 63ad7e95bada01b0a7d0ca0049c6ae0f7224764e4e89fed782312ad7bf12db5d |