Sherpa transform annotations to categories processor
Project description
pyprocessors_categories_from_annotations
CategoriesFromAnnotations annotations coming from different annotators
Installation
You can simply pip install pyprocessors_categories_from_annotations.
Developing
Pre-requesites
You will need to install uv (for managing the virtual environment and running tests):
pip install uv
Clone the repository:
git clone https://github.com/oterrier/pyprocessors_categories_from_annotations
Running the test suite
You can run the full test suite with:
uv run pytest
Linting
uv run ruff check .
uv run ruff format --check .
Building the documentation
You can build the HTML documentation with:
uv run --extra docs sphinx-build docs docs/_build
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
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
File details
Details for the file pyprocessors_categories_from_annotations-0.6.3.tar.gz.
File metadata
- Download URL: pyprocessors_categories_from_annotations-0.6.3.tar.gz
- Upload date:
- Size: 18.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.10.8 {"installer":{"name":"uv","version":"0.10.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"12","id":"bookworm","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7b8c79679257bd8bb9636cba1eda3f60618eeaaf5baef60c46a0dab4149ee250
|
|
| MD5 |
b5c1a9be5c31413fdd419b8111c5b357
|
|
| BLAKE2b-256 |
8443b0d160014ee897ee8bf0da3bf753e359a885168788a6ce950e142d3a735c
|
File details
Details for the file pyprocessors_categories_from_annotations-0.6.3-py3-none-any.whl.
File metadata
- Download URL: pyprocessors_categories_from_annotations-0.6.3-py3-none-any.whl
- Upload date:
- Size: 6.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.10.8 {"installer":{"name":"uv","version":"0.10.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"12","id":"bookworm","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8fce7e975e3a05b988d98c12530cf546e6aba007b9cf6376ae4c879f040c3b85
|
|
| MD5 |
3eae5f211d1f35a795911455d0a4abbe
|
|
| BLAKE2b-256 |
26f5cc487749a4beb1d335cd9749a42f6e871ecf7fa787a5aec1b6e2565900ec
|
