Skip to main content

pyprocessors_readinggrid

license tests codecov docs version PyPI - Python Version

Processor that generate a focussed reading-grid (keep only the sentences containing annotation)

Installation

You can simply pip install pyprocessors_readinggrid.

Developing

Pre-requesites

You will need to install flit (for building the package) and tox (for orchestrating testing and documentation building):

python3 -m pip install flit tox

Clone the repository:

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

Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

tox

Building the documentation

You can build the HTML documentation with:

tox -e docs

The built documentation is available at `docs/_build/index.html.

Metadata

Release files for pyprocessors-readinggrid 0.5.101

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyprocessors-readinggrid 0.5.101
File Size Uploaded Provenance
pyprocessors_readinggrid-0.5.101.tar.gz 15.1 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for pyprocessors-readinggrid 0.5.101
File Interpreter ABI Platform
pyprocessors_readinggrid-0.5.101-py3-none-any.whl Python 3 none any Details

Total release size: 20.1 kB

Release files / pyprocessors_readinggrid-0.5.101.tar.gz

Download URL pyprocessors_readinggrid-0.5.101.tar.gz
Size 15.1 kB
Tags Source
SHA-256 checksum
How to use checksums
5ffdcc322a499bf13cbf6aff9b9544ed67a0c98b7f984721c3a7d22ef28416c6
BLAKE2b-256 checksum
How to use checksums
eeb96ba1174792e6955c23c9f440a788c6645599e1518ab12474fee72177a47b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-requests/2.31.0

Release files / pyprocessors_readinggrid-0.5.101-py3-none-any.whl

Download URL pyprocessors_readinggrid-0.5.101-py3-none-any.whl
Size 5.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e69adac540965bd715e67a58d8ae1103e740cc2d4873a913d2c9987f029d8c94
BLAKE2b-256 checksum
How to use checksums
15d9fe3b38eeace4ebec63ab3a0d71e53522832a9a5bab4958156fc7ba6fdf39
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-requests/2.31.0

Security for pyprocessors-readinggrid 0.5.101

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page