This package provides utilities for Google Media Downloads and Resumable Uploads.

sphinxcontrib-htmlhelp is a Sphinx extension which renders HTML help files.

swagger_spec_validator provides a library for validating Swagger API specifications.

Bind to an ephemeral port, force it into the TIME_WAIT state, and unbind it.

This package provides a Jupyter Server extension for serving Mathjax, the JavaScript display engine for mathematics.

Sphinxcontrib-newsfeed is an extension for adding a simple Blog, News or Announcements section to a Sphinx website.

This library is an abstraction of Conda package handling and a tool for extracting, creating, and converting between formats.

Alabaster is a visually (c)lean, responsive, configurable theme for the Sphinx documentation system. It's the default theme of Sphinx.

ipython-cluster-helper creates a throwaway parallel IPython profile, launches a cluster and returns a view. On program exit it shuts the cluster down and deletes the throwaway profile.

This Sphinx theme integrates the Bootstrap CSS / JavaScript framework with various layout options, hierarchical menu navigation, and mobile-friendly responsive design. It is configurable, extensible, and can use any number of different Bootswatch CSS themes

OpenAPI Spec Validator is a Python library that validates OpenAPI Specs against the OpenAPI 2.0 (aka Swagger) and OpenAPI 3.0.0 specification. The validator aims to check for full compliance with the Specification.

OpenAPI Spec Validator is a Python library that validates an OpenAPI specification against the OpenAPI 2.0 (also known as Swagger), OpenAPI 3.0 and OpenAPI 3.1 specifications. The validator aims to check for full compliance with the specification.

This module is primarily a backport of the Python 3.2 contextlib to earlier Python versions. Like contextlib, it provides utilities for common tasks involving decorators and context managers. It also contains additional features that are not part of the standard library.

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration (e.g., GPUs) and distributed computation.

TensorFlow is a flexible platform for building and training machine learning models. It provides a library for high performance numerical computation and includes high level Python APIs, including both a sequential API for beginners that allows users to build models quickly by plugging together building blocks and a subclassing API with an imperative style for advanced research.

This package provides an additional log handler for Python's standard logging package (PEP 282). This handler will write log events to a log file which is rotated when the log file reaches a certain size. Multiple processes can safely write to the same log file concurrently and rotated logs can be gzipped if desired. An optional threaded queue logging handler is provided to perform logging in the background.

Software Heritage content replayer.

This package is only for bootstrapping. Don't use this.

sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books.

This package provides a Tryton module that adds the invoice, payment term.

This package is only here for bootstrapping purposes. Use the regular testresources package instead.

Zope.security provides a generic mechanism to implement security policies on Python objects.

This package provides a Tryton module that adds accounting on product and category.

This package provides a friendly fork of multiprocessing which uses dill instead of pickle.