semvec/pypi-packages huggingface dataset:
lightvolume 0.1.3
Light volume calculation and rendering with OpenGL

lightvolume
===========

This package provides the module ``lightvolume``, which offers a CFFI binding
to `trylock/visibility`_. This, in turn, is a C++ implementation of `the
visibility algorithm`_ documented in detail (with awesome interactive demos)
on the Red Blob Games website.


.. _`trylock/visibility`: https://github.com/trylock/visibility
.. _`the visibility algorithm`: http://www.redblobgames.com/articles/visibility/


API
---

First, import ``lightvolume``::

    import lightvolume

Then, we can create a number of shadow-casting bodies::

    objects = [
        lightvolume.rect(0, 0, 500, 500),  # outer bounds - this is needed
        lightvolume.rect(20, 30, 10, 20),
        lightvolume.rect(290, 300, 100, 300),
    ]


Finally, we can render the lit area cast by a light in this scene (an OpenGL
context must already have been created and appropriate GL state set)::

    light = 90, 200
    lightvolume.draw_light(light, objects)


This module is intended to be used with appropriate shaders to provide
attenuation, surface interactions such as bump mapping, and so on.
pyrogg 0.3
Recode Ogg-Vorbis files to a different quality level

pyrogg
======

What is it?
-----------

pyrogg is a simple recoding library for Ogg-Vorbis audio files, implemented in Cython.
It reads Vorbis streams from the provided input files and recodes them to the desired
quality level (-1 ... 10).  It comes with a handy command line interface.


Example
-------

Command line usage::

   $ recode.py -d outputdir --quality=1 --parallel=3 input1.ogg input2.ogg input3.ogg

Python usage::

   >>> from pyrogg import VorbisFileRecoder
   >>> rec = VorbisFileRecoder("input.ogg")

   >>> time = rec.recode("output.ogg", quality=1)

Since the time used for decoding is substantially lower than that used for
encoding, you might want to set the following environment variable to avoid
busy waiting OpenMP threads::

    OMP_WAIT_POLICY=PASSIVE


Why would I use it?
-------------------

* It can recode files on the file-system as well as file-like objects.

* It uses OpenMP to decode and encode an input stream in parallel, as well as
  multiprocessing to recode multiple files in parallel.  So it can use
  all resources that your machine can provide, which makes it pretty fast.

* Parallel recoding of separate input files is thread-safe and frees the GIL.


Why would I not use it?
-----------------------

* Currently, error handling isn't very elaborate, so unexpected errors may
  crash your system.  This should be easy to fix with a little work, and
  help on this is certainly appreciated.  (Fear not, it's written in Cython,
  not C.)

* It's not meant to recode streams on the fly, just files and file-like
  objects.  Currently, input files/objects must allow random access through
  seek().  This should be fixable.


How can I install it?
---------------------

Using pip::

    pip install pyrogg

Note that this will do a source build, so you need a properly configured
C compiler on your system that can build Python extension modules, as well
as the library packages ``libogg``, ``libvorbis``, and their corresponding
development packages.  Most operating systems (including all commonly used
Linux distributions) will allow you to install them via the normal package
management tool.  For the development packages, look for packages called
``libogg-dev`` or ``libogg-devel``.

For Windows and MacOS, however, you need to install them manually.  See here:

https://www.xiph.org/downloads/