Skip to main content

Sherpa sentence chunking processor

Project description

pyprocessors_chunk_sentences

license tests codecov docs version PyPI - Python Version

Create segments from annotations

Installation

You can simply pip install pyprocessors_chunk_sentences.

Developing

Pre-requisites

You will need to install uv for dependency management and building:

pip install uv

Clone the repository:

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

Install the project with test dependencies:

uv sync --extra test

Running the test suite

You can run the full test suite with:

uv run pytest

Linting and formatting

This project uses ruff for linting and formatting:

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

Building the documentation

You can build the HTML documentation with:

uv sync --extra docs
uv run 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


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

pyprocessors_chunk_sentences-1.6.44.tar.gz (144.7 kB view details)

Uploaded Source

Built Distribution

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

pyprocessors_chunk_sentences-1.6.44-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file pyprocessors_chunk_sentences-1.6.44.tar.gz.

File metadata

  • Download URL: pyprocessors_chunk_sentences-1.6.44.tar.gz
  • Upload date:
  • Size: 144.7 kB
  • 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 pyprocessors_chunk_sentences-1.6.44.tar.gz
Algorithm Hash digest
SHA256 152122925f3b9877153dbd739a053349a4e28d49891571385fdb4473738ad51d
MD5 f006cb4a10f335eecc0568f6b99c95b2
BLAKE2b-256 f1581fc3b94e06a197397e4b216e1ac5a3a165ee8dded7217d596f5b8a626556

See more details on using hashes here.

File details

Details for the file pyprocessors_chunk_sentences-1.6.44-py3-none-any.whl.

File metadata

  • Download URL: pyprocessors_chunk_sentences-1.6.44-py3-none-any.whl
  • Upload date:
  • Size: 9.4 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 pyprocessors_chunk_sentences-1.6.44-py3-none-any.whl
Algorithm Hash digest
SHA256 efb07d8ed17853aef3094c8d92d18b54c1ad6de3d9fd053072e571373113fd89
MD5 e566910046a0093cbe95177c831d51af
BLAKE2b-256 242e87d49ae978e6a018276cc11300ad1775407f8d8795b5c68c66655d7ea0f7

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