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-1.8.47.tar.gz.

File metadata

  • Download URL: pyprocessors_categories_from_annotations-1.8.47.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-1.8.47.tar.gz
Algorithm Hash digest
SHA256 6baf5fbb38cf6aafe0f44ff9959f056dc85d221445da551c694b4fcee35cc104
MD5 2105000a411cbcef099944f761d27e0b
BLAKE2b-256 05a85921812d3f11e3565cb98ba5ca6c8bcfe9e35f15eae12fe1fd8cb473d18d

See more details on using hashes here.

File details

Details for the file pyprocessors_categories_from_annotations-1.8.47-py3-none-any.whl.

File metadata

  • Download URL: pyprocessors_categories_from_annotations-1.8.47-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-1.8.47-py3-none-any.whl
Algorithm Hash digest
SHA256 42aa36b4fbeef85907dfc7df3fa9fb088a4c22358c35ecfb2730adc15f3dd507
MD5 db91c7cc6c5ca76c00ad9f0a2117db05
BLAKE2b-256 e68ea435bd14eb19aa29ea963c4edf5340a549ebbb3de5f989fe32eb604965ab

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