This package provides a Django library that logs request, response, and exception details in a JSON document. It can also send logs directly to ElasticSearch.

FontParts is an API for interacting with the parts of fonts during the font development process. FontParts is the successor of RoboFab.

This package provides guzzle_sphinx_theme, a theme for the Sphinx documentation system, used by Guzzle and several other projects.

Python-setuptools-markdown is a deprecated package that is required by python-miditime. Instead of using this, you should use the built-in functionality of setuptools and PyPI.

This plugin for python-plaster adds support for PasteDeploy syntax, it provides a plaster Loader object that can parse ini files according to the standard set by PasteDeploy

This package provides flit-core, a PEP 517 build backend for packages using Flit. The only public interface is the API specified by PEP 517, flit_core.buildapi.

The marshmallow-jsonapi package provides a simple way to produce JSON:API-compliant data in any Python Web framework. It includes optional utilities to integrate with Flask.

This package provides a pytest plugin to test that mypy produces a given output. As mypy can be told to display the type of an expression this allows you to check mypys type interference.

jupyter_kernel_test is a tool for testing Jupyter kernels. It tests kernels for successful code execution and conformance with the Jupyter Messaging Protocol.

Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.

PyTorch Forecasting is a PyTorch-based package for forecasting with state-of-the-art deep learning architectures. It provides a high-level API and uses PyTorch Lightning to scale training on GPU or CPU, with automatic logging.

This package is a set of opinionated helpers for creating py.test fixtures for your smoke testing and integration testing. It strives to keep your environment definition declarative, like a docker-compose.yml. It embraces py.test fixture overloading.

track_linearization is a Python package for mapping animal movement on complex track environments (mazes, figure-8s, T-mazes) into simplified 1D representations. It uses Hidden Markov Models to handle noisy position data and provides powerful tools for analyzing spatial behavior in neuroscience experiments.

Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. It provides an elegant API based on "expression templates". It is versatile: it supports all matrix sizes, all standard numeric types, various matrix decompositions and geometry features, and more.

This piece of code sets up some reader macros that make it simpler to input string literals which contain backslashes and double quotes This is very useful for writing complicated docstrings and, as it turns out, writing code that contains string literals that contain code themselves.

lenstronomy is a multi-purpose software package to model strong gravitational lenses. lenstronomy finds application for time-delay cosmography and measuring the expansion rate of the Universe, for quantifying lensing substructure to infer dark matter properties, morphological quantification of galaxies, quasar-host galaxy decomposition and much more.

This package provides access to the internal state of the Capable Robot USB Hub, allowing you to monitor and control the Hub from an upstream computer. It also creates a transparent CircuitPython Bridge, allowing unmodified CircuitPython code to run on the host computer and interact with I2C and SPI devices attached to the USB Hub.

Often, especially for package modules, you want to import names for convenience, but not actually perform the imports until necessary. The zope.deferredimport package provided facilities for defining names in modules that will be imported from somewhere else when used. You can also cause deprecation warnings to be issued when a variable is used.

Flask-COMBO-JSONAPI is a Python Flask extension for building REST Web APIs compliant with the JSON:API 1.0 specification.

It tries to combine the power of Flask-Restless with the flexibility of Flask-RESTful to quickly build APIs that fit the complexity of existing real-life projects with legacy data and diverse storage providers.

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.

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.

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 contains bindings for the ADBC Driver Manager, as well as a DBAPI 2.0/PEP 249-compatible interface on top. This can be used to load ADBC drivers at runtime and use them from Python. Backend-specific packages like adbc_driver_postgresql wrap this package in a more convenient interface, and should be preferred where they exist.

A Flake8 plugin that checks for the line continuation style to be in the preferred method according to PEP-8, specifically:

The preferred way of wrapping long lines is by using Python's implied line continuation inside parentheses, brackets and braces. Long lines can be broken over multiple lines by wrapping expressions in parentheses. These should be used in preference to using a backslash for line continuation.