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.
When writing applications, finding the right location to store user data and configuration varies per platform. Even for single-platform apps, there may by plenty of nuances in figuring out the right location. This small Python module determines the appropriate platform-specific directories, e.g. the ``user data dir''.
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.
(guix-science-nonfree packages machine-learning)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.
sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books.
This package defines a variety of Pygments lexers for highlighting IPython code.
This package provides a friendly fork of multiprocessing which uses dill instead of pickle.
This project provides tools to help reduce the side effects of using FileFields during tests.
This package provides an efficient library to read from new and old format .conda and .tar.bz2 conda packages.
RequestsLibrary is a Robot Framework library aimed to provide HTTP API testing functionalities by wrapping the requests Python library.
This package provides programmatic access to the CDS, ADS and EWDS data catalogues from the ECMWF.
This Python module implements a multiprocessing-aware Handler that, when set on the root Logger, will tunnel log records to the main process so that they are handled correctly.
This hatch plugin allows defining a project description in terms of concatenated fragments that are based on static strings, files and parts of files defined using cut-off points or regular expressions.
(guix-science-nonfree packages machine-learning)The Tensorboard Data Server is the backend component of TensorBoard that efficiently processes and serves log data. It improves TensorBoard's performance by handling large-scale event files asynchronously, enabling faster data loading and reduced memory usage.
This is an API client for various online judges, used as the backend library of oj command. You can use the Python library (onlinejudge module) and the command-line interface (oj-api command) which talks JSON compatible with jmerle/competitive-companion.
Django used to include a comments framework; since Django 1.6 it's been separated to a separate project. This is that project. This framework can be used to attach comments to any model, so you can use it for comments on blog entries, photos, book chapters, or anything else.
This package implements a functionality to save an SVG screenshot of a running Textual app to disk. The next time the test runs, it takes another screenshot and compares it to the saved one. If the new screenshot differs from the old one, the test fails. This is a convenient way to quickly and automatically detect visual regressions in your applications.
Test utilities for OpenTelemetry unit tests.
This package provides a Jupyter Server extension providing terminals.
This package provides a tag-expression parser for Cucumber and behave.
This package provides a Python requirements.txt grammar for the Tree-sitter library.
This package lets you link to GitHub issues, pull requests, commits and users from Sphinx docs.