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-0.6.17.tar.gz.

File metadata

  • Download URL: pyprocessors_categories_from_annotations-0.6.17.tar.gz
  • Upload date:
  • Size: 20.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","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-0.6.17.tar.gz
Algorithm Hash digest
SHA256 91332f56563f06a9c915bd0a1e52ba3c5db44e2595bc8ea95039937d712b7a91
MD5 71d1434b0f000fbb9db08600bb198a6c
BLAKE2b-256 bbd404e4256fe64b04be23a866e38944e0101d12c6f13281e06002c5687df563

See more details on using hashes here.

File details

Details for the file pyprocessors_categories_from_annotations-0.6.17-py3-none-any.whl.

File metadata

  • Download URL: pyprocessors_categories_from_annotations-0.6.17-py3-none-any.whl
  • Upload date:
  • Size: 6.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","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-0.6.17-py3-none-any.whl
Algorithm Hash digest
SHA256 af35c1b6f0b2d0b659ab8fd1fd8ac2ce1e35b10fddf303727e62cc9018db3855
MD5 4c221dc1c444a58324f0f4503b285118
BLAKE2b-256 2182b72840aeb6a86e30e8854e3db2447beb9e5f28dca212830bbd67858699d7

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