This package provides pytesseract and Python wrapper library for Google's Tesseract-OCR.

PyNNDescent provides a Python implementation of Nearest Neighbor Descent for k-neighbor-graph construction and approximate nearest neighbor search.

pylint-venv provides a Pylint init-hook to use the same Pylint installation with different virtual environments.

This package provides a Python wrapper for the mediainfo library to access the technical and tag data for video and audio files.

This package provides Spyder-specific extras for the Language Server Protocol (LSP) on Python, such as document symbol searching and others.

This package contains wrappers for accessing the ALSA API from Python. It is currently fairly complete for PCM devices, and has some support for mixers.

This is a pytest plugin to help you test projects that use Trio, a friendly library for concurrency and async I/O in Python.

pycodestyle (formerly pep8) is a tool to check Python code against some of the style conventions in PEP 8.

pytest-mypi is a static type checker plugin for Pytest that runs the mypy static type checker on your source files as part of a Pytest test execution.

A Python module to read Matlab files. This module works with both the old (< 7.3) and the new (>= 7.3) HDF5 based format. The output should be the same for both kinds of files.

This package provides the tools for computing phase-amplitude coupling, time delay estimation, and wave shape features using the bispectrum and bicoherence. Additional tools for computing amplitude-amplitude coupling, phase-phase coupling, and spatio-spectral filters are also provided.

Pygame-menu is a python-pygame library for creating menus and GUIs. It supports several widgets, such as buttons, color inputs, clock objects, drop selectors, frames, images, labels, selectors, tables, text inputs, color switches, and many more, with multiple options to customize.

This plugin installs a mocker fixture which is a thin-wrapper around the patching API provided by the mock package, but with the benefit of not having to worry about undoing patches at the end of a test. The mocker fixture has the same API as mock.patch, supporting the same arguments.

The pyudorandom module lets you iterate over a list in a non-succsessive, yet deterministic way based on integer modulo. It comes in handy when you want to mix up the items, but don't need any guarantees of randomness. It might be slow on small data, but shall be significantly faster than random.shuffle for longer lists.

PyTorch is a Python package that provides two high-level features:

• tensor computation (like NumPy) with strong GPU acceleration;

• deep neural networks (DNNs) built on a tape-based autograd system.

You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.

Note: currently this package does not provide GPU support.

This package provides a set of sparse matrix solvers used in geoscience.

All solvers work with scipy.sparse matricies, and a single or multiple right hand sides using numpy:

• L/U Triangular Solves

• Wrapping of SciPy matrix solvers (direct and indirect)

• Pardiso solvers now that MKL comes with conda!

• Mumps solver with nice error messages

Macaroons, like cookies, are a form of bearer credential. Unlike opaque tokens, macaroons embed caveats that define specific authorization requirements for the target service, the service that issued the root macaroon and which is capable of verifying the integrity of macaroons it receives.

Macaroons allow for delegation and attenuation of authorization. They are simple and fast to verify, and decouple authorization policy from the enforcement of that policy.

pytest-perf makes it easy to compare works by creating two installs, the control and the experiment, and measuring the performance of some Python code against each. Under the hood, it uses the pip-run command to install from the upstream main branch (e.g. https://github.com/jaraco/pytest-perf) for the control and from . for the experiment. It then runs each of the experiments against each of the environments.

PyWavefront reads Wavefront 3D object files (something.obj, something.obj.gz and something.mtl) and generates interleaved vertex data for each material ready for rendering.

A simple (optional) visualization module is also provided for rendering the object(s). The interleaved data can also be used by more modern renderers thought VBOs or VAOs.

Currently the most commonly used features in the specification has been implemented:

• positions;

• texture coordinates;

• normals;

• vertex color;

• material parsing;

• texture and texture parameters.

This package provides a collection of astronomy related tools for Python.

The following subpackages are available:

• funcFit: A convenient fitting package providing support for minimization and MCMC sampling.

• modelSuite: A Set of astrophysical models (e.g., transit light-curve modeling), which can be used stand-alone or with funcFit.

• AstroLib: A set of useful routines including a number of ports from IDL's astrolib.

• Constants: The package provides a number of often-needed constants.

• Timing: Provides algorithms for timing analysis such as the Lomb-Scargle and the Generalized Lomb-Scargle periodogram

• pyaGUI: A collection of GUI tools for interactive work.

Encoder and Decoder for CayenneLLP.

Documentation at https://melpa.org/#/python-pytest

Pyinstrument is a Python profiler to help you optimize your code.

This pytest plugin provides fixtures to simplify Flask app testing.