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python3-looker-sdk-22.20.0-1.lbn36.noarch: Looker SDK The Looker SDK for Python provides a convenient way to communicate with the Looker API available on your Looker server. The library requires python3.6+ and is annotated using the typing module.The SDK uses a plug-in architecture (also known as dependency injection) for initializing that supports run-time specific transports (currently only RequestsTransport) and different...

python3-jsonschema-spec-0.2.4-1.lbn36.noarch: Object-oriented JSONSchema Key features Traverse schema like paths Access schema on demand with separate dereferencing accessor layer

python3-jeepney-0.8.0-1.lbn36.noarch: Jeepney is a pure Python implementation of D-Bus messaging. It has an I/O-free core, and integration modules for different event loops. D-Bus is an inter-process communication system, mainly used in Linux. To install Jeepney: pip install jeepney Jeepney docs on Readthedocs

python3-hatch-vcs-0.4.0-1.lbn36.noarch: This provides a plugin for Hatch that uses your preferred version control system (like Git) to determine project versions.

python3-hatch-requirements-txt-0.4.1-1.lbn36.noarch: Hatchling plugin to read project dependencies from requirements.txt Tests PyPI Anaconda Activity QA Other Installation hatch-requirements-txt can be installed from PyPI or Anaconda. To install with pip: $ python -m pip install hatch-requirements-txt To install with conda: First add the required channels $ conda config --add channels https:/conda.anaconda.org/conda-forge Then install $ conda install hatch-requirements-txt Usage In your pyproject.toml make the following changes: Append hatch-requirements-txt to build-system.requires. Append dependencies to project.dynamic. Add the following table: [tool.hatch.metadata.hooks.requirements_txt] files = ["requirements.txt"] Optionally, you can also define groups of optional dependencies (also known as “features”) by appending optional-dependencies to project.dynamic and adding a table like: [tool.hatch.metadata.hooks.requirements_txt.optional-dependencies] crypto = ["requirements-crypto.txt"] fast

python3-hatch-nodejs-version-0.3.2-1.lbn36.noarch: hatch-nodejs-version This package provides two Hatch plugins: version source plugin that reads/writes the package version from the version field of the Node.js package.json file. metadata hook plugin that reads PEP 621 metadata from the Node.js package.json file. Table of Contents Installation Global dependency Version source Metadata hook License Global dependency Ensure hatch-nodejs-version is defined within the build-system.requires field in your pyproject.toml file. [build-system] requires = ["hatchling", "hatch-nodejs-version"] build-backend = "hatchling.build" Version source The version source plugin name is nodejs. pyproject.toml [tool.hatch.version] source = "nodejs" hatch.toml [version] source = "nodejs" Semver The semver specification defines the following version sections: major minor patch pre-release build Meanwhile, PEP 440 defines: epoch major minor patch pre-release post-release dev-release In order to ensure round-trip support, and ensure semantic

python3-gremlinpython-3.6.1-1.lbn36.noarch: .. Licensed to the Apache Software Foundation (ASF) under one .. or more contributor license agreements. See the NOTICE file .. distributed with this work for additional information .. regarding copyright ownership. The ASF licenses this file .. to you under the Apache License, Version 2.0 (the .. "License"); you may not use this file except in compliance .. with the License. You may obtain a...

python3-gevent-websocket-0.10.1-1.lbn36.noarch: gevent-websocket gevent-websocket_ is a WebSocket library for the gevent_ networking library.Features include:- Integration on both socket level or using an abstract interface. - RPC and PubSub framework using WAMP_ (WebSocket Application Messaging Protocol). - Easily extendible using a simple WebSocket protocol plugin API from geventwebsocket import WebSocketServer, WebSocketApplication,...

python3-geomet-0.3.0-4.fc36.noarch: Convert GeoJSON to WKT/WKB (Well-Known Text/Binary), and vice versa.

python3-funcparserlib-1.0.0a0-2.prerelease.fc36.noarch: Parser combinators are just higher-order functions that take parsers as their arguments and return them as result values. Parser combinators are: * First-class values * Extremely composable * Tend to make the code quite compact * Resemble the readable notation of xBNF grammars Parsers made with funcparserlib are pure-Python LL(*) parsers. It means that it's very easy to write them without thinking about look-aheads and all that hardcore parsing stuff. But the recursive descent parsing is a rather slow method compared to LL(k) or LR(k) algorithms. So the primary domain for funcparserlib is parsing little languages or external DSLs (domain specific languages).

python3-flit-3.8.0-1.lbn36.noarch: Flit is a simple way to put Python packages and modules on PyPI. It tries to require less thought about packaging and help you avoid common mistakes. See Why use Flit? for more about how it compares to other Python packaging tools. Install $ python3 -m pip install flit Flit requires Python 3 and therefore needs to be installed using the Python 3 version of pip. Python 2 modules can be distributed using Flit, but need to be importable on Python 3 without errors. Usage Say you’re writing a module foobar — either as a single file foobar.py, or as a directory — and you want to distribute it. Make sure that foobar’s docstring starts with a one-line summary of what the module is, and that it has a __version__: """An amazing sample package!""" __version__ = "0.1" Install flit if you don’t already have it: python3 -m pip install flit Run flit init in the directory containing the module to create a pyproject.toml file. It will look something like this: [build-system] requires = ["flit_co

python3-flask-sockets-0.2.1-1.lbn36.noarch: Flask-Sockets -Elegant WebSockets for your Flask apps.

python3-falcon-3.1.1-1.lbn36.x86_64: |Build Status| |Docs| |codecov.io| |Blue|The Falcon Web Framework Falcon <>__ is a minimalist ASGI/WSGI framework for building mission-critical REST APIs and microservices, with a focus on reliability, correctness, and performance at scale.When it comes to building HTTP APIs, other frameworks weigh you down with tons of dependencies and unnecessary abstractions. Falcon cuts to the chase with a...

python3-eventlet-0.39.1-1.lbn36.noarch: Eventlet is a networking library written in Python. It achieves high scalability by using non-blocking io while at the same time retaining high programmer usability by using coroutines to make the non-blocking io operations appear blocking at the source code level.

python3-db-dtypes-1.1.1-1.lbn36.noarch: Pandas Data Types for SQL systems (BigQuery, Spanner) |ga| |pypi| |versions|Pandas extension data types_ for data from SQL systems such as BigQuery_.- Library Documentation_.. |g .. |pyp .. |version :target:

python3-dataclasses-json-0.6.4-1.lbn36.noarch: Dataclasses JSON![]( library provides a simple API for encoding and decoding [dataclasses]( to and from JSON.It's very easy to get started.[README / Documentation website]( Features a navigation bar and search functionality, and should mirror this README exactly -- take a look! Quickstartpip install dataclasses-jsonpython from dataclasses import dataclass from dataclasses_json import...

python3-dataclasses-0.8-1.lbn36.noarch: This is an implementation of PEP 557, Data Classes. It is a backport for Python 3.6. Because dataclasses will be included in Python 3.7, any discussion of dataclass features should occur on the python-dev mailing list at At this point this repo should only be used for historical purposes (it's where the original dataclasses discussions took place) and for discussion of the actual backport to...

python3-cloudpickle-2.2.1-1.lbn36.noarch: cloudpickle[![Automated Tests]( [![codecov.io]( makes it possible to serialize Python constructs not supported by the default pickle module from the Python standard library.cloudpickle is especially useful for **cluster computing** where Python code is shipped over the network to execute on remote hosts, possibly close to the data.

python3-arango-7.5.3-1.lbn36.noarch: ![Logo]( [![CodeQL]( [![codecov](

python3-apache-beam-2.47.0-1.lbn36.x86_64: Apache Beam is a unified programming model for both batch and streaming data processing, enabling efficient execution across diverse distributed execution engines and providing extensibility points for connecting to different technologies and user communities.

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