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-1.8.84.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-1.8.84-py3-none-any.whl (10.1 kB view details)

Uploaded Python 3

File details

Details for the file pyprocessors_chunk_sentences-1.8.84.tar.gz.

File metadata

  • Download URL: pyprocessors_chunk_sentences-1.8.84.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-1.8.84.tar.gz
Algorithm Hash digest
SHA256 6c6aa77bd818e83ee43fd959819273fa33109b52fd4478bc6cb9043f6d8afd20
MD5 c3176be71bda5109330d91ffaf5b2634
BLAKE2b-256 0be9e89da19bc77e1b9483441517e69abf1d105da4a56956c1b9c81a9c2ac9a9

See more details on using hashes here.

File details

Details for the file pyprocessors_chunk_sentences-1.8.84-py3-none-any.whl.

File metadata

  • Download URL: pyprocessors_chunk_sentences-1.8.84-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-1.8.84-py3-none-any.whl
Algorithm Hash digest
SHA256 e7c3b7ccfac25542338c94e80c20517f07b94e5b060ce7b6c99f03555333b36b
MD5 2e59226aeb7e8976642e03c17260d3bf
BLAKE2b-256 956708a939c2a1e4e2ee89bf901920cd58c603a6eb80d0ac87cd2521306952c6

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