Skip to main content

SpacyMatcher annotator using the spacy rule-matching engine

Project description

pyannotators_spacymatcher

license tests codecov docs version PyPI - Python Version

Annotator based on SpacyMatcher using the spacy rule-matching engine

Installation

You can simply pip install pyannotators_spacymatcher.

Developing

Pre-requisites

You will need to install uv (for building and managing the package):

pip install uv

Clone the repository:

git clone https://github.com/oterrier/pyannotators_spacymatcher

Install dependencies

uv sync --extra test

Running the test suite

uv run pytest

Linting

uv run ruff check .
uv run ruff format --check .

Building the documentation

uv run --extra docs sphinx-build docs docs/_build

The built documentation is available at docs/_build/index.html.

SBOM & vulnerability check

Install the SBOM dependencies:

uv sync --extra sbom

Generate a CycloneDX SBOM from the current environment:

uv run cyclonedx-py environment -o sbom.cdx.json --output-format json

Audit dependencies for known vulnerabilities:

uv run pip-audit --format json --output audit-report.json

To fail on any known vulnerability (useful in CI):

uv run pip-audit --strict

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyannotators_spacymatcher-0.6.19.tar.gz (47.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyannotators_spacymatcher-0.6.19-py3-none-any.whl (6.3 kB view details)

Uploaded Python 3

File details

Details for the file pyannotators_spacymatcher-0.6.19.tar.gz.

File metadata

  • Download URL: pyannotators_spacymatcher-0.6.19.tar.gz
  • Upload date:
  • Size: 47.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.2 {"installer":{"name":"uv","version":"0.11.2","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

Hashes for pyannotators_spacymatcher-0.6.19.tar.gz
Algorithm Hash digest
SHA256 4fa964f23b284a5e33c437d8fe4b3f01314d5305c56f282b33d27bab3d674e5a
MD5 ec25981e6f1a171d24b2c7fcbf1de857
BLAKE2b-256 129463c3d9d1464212cd8138606a7c26f13325270c0efaa87dd0f3e55e079f52

See more details on using hashes here.

File details

Details for the file pyannotators_spacymatcher-0.6.19-py3-none-any.whl.

File metadata

  • Download URL: pyannotators_spacymatcher-0.6.19-py3-none-any.whl
  • Upload date:
  • Size: 6.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.2 {"installer":{"name":"uv","version":"0.11.2","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

Hashes for pyannotators_spacymatcher-0.6.19-py3-none-any.whl
Algorithm Hash digest
SHA256 849a0ec99397bc852f98ddfcbf8c4313878694d034596c0ee471c63acee318d2
MD5 abfb5ab0012a4b60c25f939963ae2218
BLAKE2b-256 810a1523b2887509d9c15ba343b4af7dc811b5e22638a58dd56ce918f62246f0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page