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python3-uuid6-2024.7.10-1.lbn36.noarch: New time-based UUID formats which are suited for use as a database key.[![CI]( [![codecov]( [![PyPI status]( [![Python versions supported]( [![Code style: black](

python3-psycopg-c-3.2.4-1.lbn36.x86_64: PostgreSQL database adapter for Python -- C optimisation distribution

python3-psycopg-3.2.4-1.lbn36.x86_64: PostgreSQL database adapter for Python Psycopg 3 is a modern implementation of a PostgreSQL adapter for Python.This distribution contains the pure Python package psycopg... Note:: Despite the lack of number in the package name, this package is the successor of psycopg2_.

python3-json-stream-to-standard-types-0.1.4-1.lbn36.noarch: ⚠ NOTE: Starting at json-stream 2.2.0,to_standard_types is part of json-stream itself, so there is no longer a need for this packgage. json-stream-to-standard-types Utility function to convert json-stream objects to normal Python dicts/lists. Parallel PR: https:/github.com/daggaz/json-stream/pull/17 Installation pip install json-stream-to-standard-types Usage To convert a json-stream dict-like or list-like object and all its descendants to a standard list and dict, simply apply the library's to_standard_types function: import json_stream from json_stream_to_standard_types import to_standard_types data = json_stream.load(f) results = data["results"] print(results) # prints <TransientStreamingJSONList: TRANSIENT, STREAMING> converted = to_standard_types(results) print(converted) # prints [1, 2, 3] License Do whatever you want with it license or whatever it was called

python3-json-stream-rs-tokenizer-0.4.26-1.lbn36.x86_64: > **NOTE:** json-stream-rs-tokenizer is now automatically used by > json- stream, so unless you find a bug, you can ignore this package's > existence! json- stream-rs-tokenizer[![CI build badge]( [![CI test badge]( [![PyPI package and version badge](

python3-json-stream-2.3.2-1.lbn36.noarch: json-stream Simple streaming JSON parser and encoder. When reading JSON data, json-stream can decode JSON data in a streaming manner, providing a pythonic dict/list-like interface, or a visitor-based interfeace. Can stream from files, URLs or iterators. When writing JSON data, json-stream can stream JSON objects as you generate them. These techniques allow you to reduce memory consumption and latency. Reading json-stream is a JSON parser just like the standard library's json.load(). It will read a JSON document and convert it into native python types. import json_stream data = json_stream.load(f) Features: stream all JSON data types (objects, lists and simple types) stream nested data simple pythonic list-like/dict-like interface stream truncated or malformed JSON data (up to the first error) native code parsing speedups for most common platforms pure python fallback if native extensions not available Unlike json.load(), json-stream can stream JSON data from any file-like or it

python3-jq-1.8.0-1.lbn36.x86_64: jq.py: a lightweight and flexible JSON processor This project contains Python bindings for jq < 1.7.1.Installation Wheels are built for various Python versions and architectures on Linux and Mac OS X. On these platforms, you should be able to install jq with a normal pip install:.. code-block:: sh pip install jqIf a wheel is not available, the source for jq 1.7.1 is built. This requires:*...

python3-djangorestframework-3.16.0-1.lbn36.noarch: [Django REST framework][docs][![build-status-image]][travis] [![coverage- status-image]][codecov] [![pypi-version]][pypi]**Awesome web-browsable Web APIs.**Full documentation for the project is available at [ FundingREST framework is a *collaboratively funded project*. If you use REST framework commercially we strongly encourage you to invest in its continued development by [signing up for a...

python3-lxml+htmlsoup-5.4.0-1.lbn36.x86_64: This is a metapackage bringing in htmlsoup extras requires for python3-lxml. It makes sure the dependencies are installed.

python3-lxml+html_clean-5.4.0-1.lbn36.x86_64: This is a metapackage bringing in html_clean extras requires for python3-lxml. It makes sure the dependencies are installed.

python3-lxml+html5-5.4.0-1.lbn36.x86_64: This is a metapackage bringing in html5 extras requires for python3-lxml. It makes sure the dependencies are installed.

python3-lxml+cssselect-5.4.0-1.lbn36.x86_64: This is a metapackage bringing in cssselect extras requires for python3-lxml. It makes sure the dependencies are installed.

python3-pyjwt+crypto-2.10.1-3.lbn36.noarch: This is a metapackage bringing in crypto extras requires for python3-pyjwt. It makes sure the dependencies are installed.

python3-diff-match-patch-20241021-1.lbn36.noarch: The Diff Match and Patch libraries offer robust algorithms to perform the operations required for synchronizing plain text.

python3-humanfriendly-10.0-2.fc36.noarch: The functions and classes in the humanfriendly package can be used to make text interfaces more user friendly. Some example features: - Parsing and formatting numbers, file sizes, pathnames and timespans in simple, human friendly formats. - Easy to use timers for long running operations, with human friendly formatting of the resulting timespans. - Prompting the user to select a choice from a list of options by typing the option's number or a unique substring of the option. - Terminal interaction including text styling (ANSI escape sequences), user friendly rendering of usage messages and querying the terminal for its size.

python3-circuitbreaker-2.0.0-2.lbn36.noarch: This is a Python implementation of the "Circuit Breaker" Pattern.

python3-sqlitedict-2.1.0-1.lbn36.noarch: sqlitedict -- persistent dict, backed by SQLite |GithubActions|_ |License|_.. |GithubAction.. |Download.. |Licens.. _GithubActions: .. _Downloads: .. _License:

python3-pydo-0.3.0-1.lbn36.noarch: PyDo pydo is the official Python client library that allows Python developers to interact with and manage their DigitalOcean resources through a Python abstraction layer on top of the raw DigitalOcean API HTTP Interface. A top priority of this project is to ensure the client abides by the API contract. Therefore, the client itself wraps a generated client based on the DigitalOcean OpenAPI Specification to support all of DigitalOcean's HTTP APIs. Getting Started With the Client Prerequisites Python version: >= 3.7.2 Installation To install from pip: pip install git+https:/github.com/digitalocean/pydo.git or, if repo is cloned locally: pip install /<PATH>/<TO>/pydo To install from source: make install pydo Quickstart A quick guide to getting started with the client. pydo must be initialized with pydo.Client(). A DigitalOcean API Token is required. The token can be passed explicitly to pydo.Client(), as such: import os from pydo import Client client = Client(token=os.geten

python3-policyuniverse-1.3.2.20201012-5.fc36.noarch: The PolicyUniverse package provides classes to parse AWS IAM and Resource Policies.

python3-oci-cli-3.44.2-1.lbn36.noarch: Oracle Cloud Infrastructure CLI AboutThis is the command line interface for Oracle Cloud Infrastructure.The project is open source and maintained by Oracle Corp. The home page for the project is here__.__ Interactive Features -- OCI CLI offers interactive features to guide you through command usage.Enabling them allows: * Suggestions and autocompletion to help compose commands; * Color-coded...


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