Skip to main content

Sherpa transform annotations to categories processor

Project description

pyprocessors_categories_from_annotations

license tests codecov docs version PyPI - Python Version

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.

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

Built Distribution

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

File details

Details for the file pyprocessors_categories_from_annotations-1.8.39.tar.gz.

File metadata

  • Download URL: pyprocessors_categories_from_annotations-1.8.39.tar.gz
  • Upload date:
  • Size: 6.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.10 {"installer":{"name":"uv","version":"0.11.10","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 pyprocessors_categories_from_annotations-1.8.39.tar.gz
Algorithm Hash digest
SHA256 9f36435ede8f826bc6af8347cb228283d2c03d07c153f59ed5eb7a478a33510f
MD5 09ddee40bd4c850bddbcf69b7a955fdf
BLAKE2b-256 95103bf6bced9ca3ae92b1d294b0dfb03c36b2c9f3792cf19feba37745db45ee

See more details on using hashes here.

File details

Details for the file pyprocessors_categories_from_annotations-1.8.39-py3-none-any.whl.

File metadata

  • Download URL: pyprocessors_categories_from_annotations-1.8.39-py3-none-any.whl
  • Upload date:
  • Size: 6.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.10 {"installer":{"name":"uv","version":"0.11.10","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 pyprocessors_categories_from_annotations-1.8.39-py3-none-any.whl
Algorithm Hash digest
SHA256 dab15f658b08f9ed85bb8e34fb4c4032ecd0a048a8dba1f3adc1f1a9bcf9c7f8
MD5 8a5661ca04ec5910776192481a725694
BLAKE2b-256 e697b44b2d1041c0bf073eb5a25bef3c9848b2a5403619fabbdf8a02c9de26f4

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