Annotator based on Presidio pattern recognizer
Project description
pyannotators_patterns
Annotator based on Facebook's Patterns
Installation
You can simply pip install pyannotators_patterns.
Developing
Pre-requesites
You will need to install flit (for building the package) and tox (for orchestrating testing and documentation building):
python3 -m pip install flit tox
Clone the repository:
git clone https://github.com/oterrier/pyannotators_patterns
Running the test suite
You can run the full test suite against all supported versions of Python (3.8) with:
tox
Building the documentation
You can build the HTML documentation with:
tox -e docs
The built documentation is available at `docs/_build/index.html.
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 pyannotators_patterns-0.5.100.tar.gz.
File metadata
- Download URL: pyannotators_patterns-0.5.100.tar.gz
- Upload date:
- Size: 19.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.32.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 68013d6abcee61611b552dd985af7c2fe42ce9b8d25609998c1c861717a257ee |
|
| MD5 | df29025ea2c51f98573e3ea2a98a858f |
|
| BLAKE2b-256 | bdbe577baf93dcde15393dda7be695f0169738cd22d59a7c57e19f6c2ee91057 |
File details
Details for the file pyannotators_patterns-0.5.100-py3-none-any.whl.
File metadata
- Download URL: pyannotators_patterns-0.5.100-py3-none-any.whl
- Upload date:
- Size: 8.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.32.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a46d5ce82858fe1e12de5b4fb562a0891904b399dcc2050ea53445fa651b646c |
|
| MD5 | 4b0920eff07ee63fafd8e1298424e604 |
|
| BLAKE2b-256 | d90fb69497af6de5a0efefa0da467c88c9820bc5dd0f06ced26e0966e610ae9e |
