semvec/pypi-packages huggingface dataset:
wllegal 2026.2
Hosted Weblate legal stuff
Requires Python: >=3.11
Keywords: i18n, l10n, gettext, git, mercurial, translate

.. image:: https://s.weblate.org/cdn/Logo-Darktext-borders.png
   :alt: Weblate
   :target: https://weblate.org/
   :height: 80px

**Weblate is libre software web-based continuous localization system,
used by over 2500 libre projects and companies in more than 165 countries.**


This is legal module used on the `Hosted Weblate service
<https://weblate.org/hosting/>`_.

You can use them as an example how to customize `Weblate
<https://weblate.org/>`_, but there are probably not generally usable.  If you
think something should be part of Weblate, please open an issue.

.. image:: https://img.shields.io/badge/website-weblate.org-blue.svg
    :alt: Website
    :target: https://weblate.org/

.. image:: https://hosted.weblate.org/widgets/weblate/-/svg-badge.svg
    :alt: Translation status
    :target: https://hosted.weblate.org/engage/weblate/?utm_source=widget

.. image:: https://bestpractices.coreinfrastructure.org/projects/552/badge
    :alt: CII Best Practices
    :target: https://bestpractices.coreinfrastructure.org/projects/552

.. image:: https://img.shields.io/pypi/v/wllegal.svg
    :target: https://pypi.org/project/wllegal/
    :alt: PyPI package

.. image:: https://readthedocs.org/projects/weblate/badge/
    :alt: Documentation
    :target: https://docs.weblate.org/

Installation
------------

Install using pip:

.. code-block:: sh

    pip3 install wllegal

Sources are available at <https://github.com/WeblateOrg/wllegal>.

Usage
-----

Include the module in the `INSTALLED_APPS`, it has to be placed prior to other
Weblate modules to override it's templates:

.. code-block:: python

   INSTALLED_APPS.insert(0, "wllegal")
oscfar 1.1.21
Order Statistic Constant False Alarm Rate detector package
Requires Python: >=3.8

# `oscfar`

<p align=center>
<a target="_blank" href="https://www.python.org/downloads/" title="Python version"><img src="https://img.shields.io/badge/python-%3E=_3.8-green.svg"></a>
<a target="_blank" href="https://pypi.org/project/oscfar/" title="PyPI version"><img src="https://img.shields.io/pypi/v/oscfar?logo=pypi"></a>
</p>

OSCFAR (Order Statistic Constant False Alarm Rate) is a radar signal processing technique used for target detection. It adaptively estimates the noise or clutter power in the vicinity of a potential target and sets a detection threshold accordingly, maintaining a constant false alarm rate regardless of the background noise characteristics.

> Installation instruction are in [Getting Started](https://chujo58.github.io/oscfar/getstarted.html)
## Analytics
![Alt](https://repobeats.axiom.co/api/embed/664ddc1c4bc71b6bfaf29af87b32f32cc543f7a5.svg "Repobeats analytics image")
generalizing-machine 0.0.3
AI agent that communicates through stdin/stdout pipes.
Requires Python: >=3.10
Keywords: generalizing-machine, ai-agent, anthropic

# Generalizing Machine
A Machine that generalizes.
<pre>
  pip install generalizing-machine
</pre>
Then:
```Python
  # Python
  import generalizing_machine
```
Or:
<pre>
  uvx generalizing-machine [ARGUMENT] [OPTION]
</pre>