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-1.8.82.tar.gz (10.9 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-1.8.82-py3-none-any.whl (10.1 kB view details)

Uploaded Python 3

File details

Details for the file pyprocessors_chunk_sentences-1.8.82.tar.gz.

File metadata

  • Download URL: pyprocessors_chunk_sentences-1.8.82.tar.gz
  • Upload date:
  • Size: 10.9 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_chunk_sentences-1.8.82.tar.gz
Algorithm Hash digest
SHA256 45ec5ed6d5e1e3694b117df944a5884bd9fddad013cf069c90333f6553e93347
MD5 b65f972e49a0b1743d92588be8a514b7
BLAKE2b-256 7a84b5a8fb41542e20e00bc9e9cf1cb01e1af2ec9b29e657a623ba4bb7740ff4

See more details on using hashes here.

File details

Details for the file pyprocessors_chunk_sentences-1.8.82-py3-none-any.whl.

File metadata

  • Download URL: pyprocessors_chunk_sentences-1.8.82-py3-none-any.whl
  • Upload date:
  • Size: 10.1 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_chunk_sentences-1.8.82-py3-none-any.whl
Algorithm Hash digest
SHA256 6da739b87a622916de4955bdc051ec7357b5a02432070cfec299da7beeefaa8c
MD5 4197b843dd892aec8acdfaaa137f6016
BLAKE2b-256 1bd0dd123d0fec5c67248377910d933d8d0a82a036fb9fb47d67fa4f44fa4270

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