Pluggy is an extraction of the plugin manager as used by Pytest but stripped of Pytest specific details.
This is a pytest plugin, that enables you to test your code that relies on a running PostgreSQL Database. It allows you to specify fixtures for PostgreSQL process and client.
Provides an updated clean_data function for the github platform. See https://github.com/nephila/giturlparse/pull/41. binderlite
will be rewritten in Common Lisp. If we stay with Python I recommend switching this library out for python-furl
or similar.
This is a Sphinx extension to automatically generate API pages for whole modules. It was originally developed for the Astropy project but is now available as a standalone package since it can be used for any other package. The documentation can be found on ReadTheDocs
The typing_extensions module contains additional typing
hints not yet present in the of the typing
standard library. Included are implementations of:
ClassVar
ContextManager
Counter
DefaultDict
Deque
NewType
NoReturn
overload
Protocol
runtime
Text
Type
TYPE_CHECKING
AsyncGenerator
This package provides a plugin to fake subprocess for pytest. The plugin adds the fake_process
fixture (and fp
as an alias). It can be used it to register subprocess results so you won't need to rely on the real processes. The plugin hooks on the subprocess.Popen()
, which is the base for other subprocess functions. That makes the subprocess.run()
,subprocess.call()
, subprocess.check_call()
and subprocess.check_output()
methods also functional.
The iers
package provides access to the tables provided by the International Earth Rotation and Reference Systems service, in particular the Earth Orientation data allowing interpolation of published UT1-UTC and polar motion values for given times. The UT1-UTC values are used in Time and Dates (astropy.time) to provide UT1 values, and the polar motions are used in astropy.coordinates
to determine Earth orientation for celestial-to-terrestrial coordinate transformations.
This package provides message Identifiers for internationalization.
Extensible system for supporting various kinds of configurations.
Easy to use fixtures to write regression tests.
Grok-like configuration for basic components (adapters, utilities, subscribers).
This package provides Azure Storage Blobs client library for Python.
This package contains the sphinx theme for the SunPy website and documentation.
This extension adds a toolbar overlay to Flask applications containing useful information for debugging.
The oslo.serialization library provides support for representing objects in transmittable and storable formats, such as JSON and MessagePack.
This package provides a programmable client library that takes advantage of the commonalities among lazr.restful web services to provide added functionality on top of wadllib.
(guix-science-nonfree packages machine-learning)
JAX is Autograd and XLA, brought together for high-performance numerical computing, including large-scale machine learning research. With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order.
Python library for OnlyKey with Solo FIDO2
Object life-cycle events.
Documentation at https://melpa.org/#/python-switch-quotes
Documentation at https://melpa.org/#/evil-python-movement
render CLI arguments (sub-commands friendly) defined by argparse module.
Librairies for Multivariate Data Analysis and Dimensionality Reduction for very large datasets.
This package provides a helper to navigate batched results in a web page.