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python3-amqp-5.2.0-4.lbn36.noarch: Low-level AMQP client for Python This is a fork of amqplib, maintained by the Celery project. This library should be API compatible with librabbitmq.

python3-marshmallow-enum-1.5.1-16.lbn36.noarch: A Python enum serializer/deserializer for use with Marshmallow.

python3-jsonschema-specifications-2024.10.1-1.lbn36.noarch: JSON support files from the JSON Schema Specifications (metaschemas, vocabularies, etc.), packaged for runtime access from Python as a referencing-based Schema Registry.

python3-jsonschema+format-nongpl-4.23.0-1.lbn36.noarch: This is a metapackage bringing in format-nongpl extras requires for python3-jsonschema. It makes sure the dependencies are installed.

python3-jsonschema+format-4.19.1-5.lbn36.noarch: This is a metapackage bringing in format extras requires for python3-jsonschema. It makes sure the dependencies are installed.

python3-mypy-boto3-rds-1.26.17-1.lbn36.noarch: <a id"mypy-boto3-rds"></a> mypy-boto3-rds[![PyPI - mypy-boto3-rds]( [![PyPI - Python Version]( [![Docs]( [![PyPI - Downloads](

python3-bcrypt-3.2.2-1.fc36.x86_64: Modern password hashing for your software and your servers.

python3-pygtrie-2.5.0-1.lbn36.noarch: pygtrie is a Python library implementing a trie data structure.Trie data structure < also known

python3-parsley-1.3-22.fc36.noarch: A parser generator library based on OMeta, and other useful parsing tools. Parsley is a parsing library for people who find parsers scary or annoying. I wrote it because I wanted to parse a programming language, and tools like PLY or ANTLR or Bison were very hard to understand and integrate into my Python code. Most parser generators are based on LL or LR parsing algorithms that compile to big state machine tables. It was like I had to wake up a different section of my brain to understand or work on grammar rules. Parsley, like pyparsing and ZestyParser, uses the PEG algorithm, so each expression in the grammar rules works like a Python expression. In particular, alternatives are evaluated in order, unlike table-driven parsers such as yacc, bison or PLY. Parsley is an implementation of OMeta, an object-oriented pattern-matching language developed by Alessandro Warth at thesis, which provides a detailed description of OMeta: http://www.vpri.org/pdf/tr2008003_experimenting.pdf

python3-gnupg-0.5.0-1.fc36.noarch: GnuPG bindings for python. This uses the gpg command.

python3-gitdb-4.0.9-1.lbn36.noarch: GitDB is a pure-Python git object database

python3-galaxy-importer-0.4.6-1.lbn36.noarch: Install From pypipip install galaxy-importer From sourceClone repo and go into project directoryInstall into environment the local setup.py including its development dependencies:pip install -e .[dev] Run importerRun parsing/validation standalone to view log output and importer result for a build collection artifact file:python -m galaxy_importer.main [collection_artifact_file]View log output...

python3-dynaconf-3.2.10-2.lbn36.noarch: dynaconf - Configuration Management for Python. Features Inspired by the 12-factor application guide Settings management (default values, validation, parsing, templating) Protection of sensitive information (passwords/tokens) Multiple file formats toml|yaml|json|ini|py and also customizable loaders. Full support for environment variables to override existing settings (dotenv support included). Optional layered system for multi environments [default, development, testing, production] Built-in support for Hashicorp Vault and Redis as settings and secrets storage. Built-in extensions for Django and Flask web frameworks. CLI for common operations such as init, list, write, validate, export. full docs on https:/dynaconf.com

python3-drf-spectacular-0.27.2-2.lbn36.noarch: Sane and flexible OpenAPI 3.0 schema generation for Django REST framework. This project has 3 goals: Extract as much schema information from DRF as possible. Provide flexibility to make the schema usable in the real world (not only toy examples). Generate a schema that works well with the most popular client generators. The code is a heavily modified fork of the DRF OpenAPI generator, which is/was lacking all of the below listed features. Features Serializers modelled as components. (arbitrary nesting and recursion supported) @extend_schema decorator for customization of APIView, Viewsets, function-based views, and @action additional parameters request/response serializer override (with status codes) polymorphic responses either manually with PolymorphicProxySerializer helper or via rest_polymorphics PolymorphicSerializer) and more customization options Authentication support (DRF natives included, easily extendable) Custom serializer class support (easily extendable) Ser

python3-drf-nested-routers-0.94.1-1.lbn36.noarch: drf-nested-routers |build-status-image| |pypi-version|Overview Nested resources for the Django Rest FrameworkDocumentation -Please see the README on the Github repo page: < |build-status-imag .. |pypi-versio

python3-drf-flex-fields-0.6.1-1.lbn36.noarch: Django REST - FlexFields[![Package version]( [![Python versions]( dynamic fields and nested models for Django REST Framework serializers. OverviewFlexFields (DRF-FF) for [Django REST Framework]() is a package designed to provide a common baseline of functionality for dynamically setting fields and nested models within DRF serializers. To remove unneeded fields, you can dynamically set fields,...

python3-drf-extensions-0.6.0-1.lbn36.noarch: DRF-extensions is a collection of custom extensions for Django REST Framework

python3-drf-access-policy-1.5.0-2.lbn36.noarch: Django REST - Access Policy This project brings a declaritive, organized approach to managing access control in Django REST Framework projects. Each ViewSet or function-based view can be assigned an explicit policy for the exposed resource(s). No more digging through views or seralizers to understand access logic -- it's all in one place in a format that less technical stakeholders can understand. If you're familiar with other declaritive access models, such as AWS' IAM, the syntax will be familiar. In short, you can start expressing your access rules like this: class ArticleAccessPolicy(AccessPolicy): statements = [ { "action": ["list", "retrieve"], "principal": "*", "effect": "allow" }, { "action": ["publish", "unpublish"], "principal": ["group:editor"], "effect": "allow" } ] This project has complete test coverage and the base AccessPolicy class is only ~150 lines of co

python3-djangorestframework-queryfields-1.1.0-1.lbn36.noarch: Django REST Framework QueryFields Installation .. code-block:: bash pip install djangorestframework-queryfields Quickstart -Specify your base model serializer like this:.. code-block:: python from rest_framework.serializers import ModelSerializer from drf_queryfields import QueryFieldsMixin class MyModelSerializer(QueryFieldsMixin, ModelSerializer): pass--.. code-block:: bash GET...


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