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python3-microsoft-kiota-http-1.9.5-1.lbn36.noarch

Microsoft Kiota HTTP library The Microsoft Kiota HTTP Library is a python HTTP implementation with HTTPX library. A Kiota generated project will need a reference to a http package to to make HTTP requests to an API endpoint. Read more about Kiota here. Using the Microsoft Kiota HTTP library In order to use this library, install the package by running: pip install microsoft-kiota-http Contributing This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https:/cla.opensource.microsoft.com. When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA. This project ha

python3-microsoft-kiota-serialization-form-1.9.5-1.lbn36.noarch

Microsoft Kiota URI Form Encoded Serialization Library for Python The Form Serialization Library for Python is the python application/x-www-form-urlencoded serialization library implementation. A Kiota generated project will need a reference to a form serialization package to handle application/x-www-form-urlencoded payloads from a supporting API endpoint. Read more about Kiota here. Using the Microsoft Kiota URI Form Encoded Serialization Library In order to use this library, install the package by running: pip install microsoft-kiota-serialization-form Contributing This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https:/cla.opensource.microsoft.com. When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR approp

python3-microsoft-kiota-serialization-json-1.9.5-1.lbn36.noarch

Microsoft Kiota Serialization library for JSON The Microsoft Kiota Serialization Library for JSON is a python implementation to serialize/deserialize JSON. A Kiota generated project will need a reference to a json serialization package to handle json payloads from an API endpoint. Read more about Kiota here. Using the Microsoft Kiota Serialization JSON library In order to use this library, install the package by running: pip install microsoft-kiota-serialization-json Contributing This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https:/cla.opensource.microsoft.com. When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot

python3-microsoft-kiota-serialization-multipart-1.9.5-1.lbn36.noarch

Microsoft Kiota Multipart Serialization Library for Python The Multipart Serialization Library for Python is the python multipart/form-data serialization library implementation. A Kiota generated project will need a reference to a multipart serialization package to handle multipart payloads from a supporting API endpoint. Read more about Kiota here. Using the Microsoft Kiota Multipart Serialization Library In order to use this library, install the package by running: pip install microsoft-kiota-serialization-multipart Contributing This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https:/cla.opensource.microsoft.com. When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment)

python3-microsoft-kiota-serialization-text-1.9.5-1.lbn36.noarch

Microsoft Kiota Text Serialization library The Microsoft Kiota Text Serialization Library is a python implementation to serialize/deserialize text/plain. A Kiota generated project will need a reference to a json serialization package to handle json payloads from an API endpoint. Read more about Kiota here. Using the Microsoft Kiota Text Serialization library In order to use this library, install the package by running: pip install microsoft-kiota-serialization-text Contributing This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https:/cla.opensource.microsoft.com. When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot.

python3-msgraph-core-1.3.5-1.lbn36.noarch

Microsoft Graph Core Python Client Library. The Microsoft Graph Core Python Client Library contains core classes used by Microsoft Graph Python Client Library to send native HTTP requests to Microsoft Graph API. NOTE: This is a new major version of the Python Core library for Microsoft Graph based on the Kiota project. We recommend to use this library with the full Python SDK. Upgrading to this version from the previous version of the Python Core library will introduce breaking changes into your application. Prerequisites Python 3.8+ This library doesn't support older versions of Python. Getting started 1. Register your application To call Microsoft Graph, your app must acquire an access token from the Microsoft identity platform. Learn more about this - Authentication and authorization basics for Microsoft Graph Register your app with the Microsoft identity platform 2. Install the required packages msgraph-core is available on PyPI. pip3 install msgraph-core pip3 install azure-id

python3-msgraph-sdk-1.40.0-1.lbn36.noarch

Microsoft Graph SDK for Python Get started with the Microsoft Graph SDK for Python by integrating the Microsoft Graph API into your Python application. Note: This SDK allows you to build applications using the v1.0 of Microsoft Graph. If you want to try the latest Microsoft Graph APIs, try the beta SDK. 1. Installation pip install msgraph-sdk Note: The Microsoft Graph SDK for Python is a fairly large package. It may take a few minutes for the initial installation to complete. Enable long paths in your environment if you receive a Could not install packages due to an OSError. For details, see Enable Long Paths in Windows 10, Version 1607, and Later. 2. Getting started with Microsoft Graph 2.1 Register your application Register your application by following the steps at Register your app with the Microsoft Identity Platform. 2.2 Select and create an authentication provider To start writing code and making requests to the Microsoft Graph service, you need to set up an authent

gerrit-3.8.1-2.lbn36.noarch

Gerrit is a web based code review system, facilitating online code reviews for projects using the Git version control system. Gerrit makes reviews easier by showing changes in a side-by-side display, and allowing inline comments to be added by any reviewer. Gerrit simplifies Git based project maintainership by permitting any authorized user to submit changes to the master Git repository, rather than requiring all approved changes to be merged in by hand by the project maintainer. This functionality enables a more centralized usage of Git.

gerrit-plugins-3.8.1-2.lbn36.noarch

A range of useful prepackaged Gerrit plugins - ready to deploy into your Gerrit via: ssh -p 'gerrit init --install-plugin <name>'

goiardi-0.11.10-7.14dd4236.lbn36.x86_64

A Chef server written in Go, able to run entirely in memory, with optional persistence with saving the in-memory data to disk or using MySQL or Postgres as the data storage backend. Docs: http://goiardi.readthedocs.org/en/latest/index.html