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python3-google-cloud-aiplatform+datasets-1.92.0-1.lbn36.noarch: This is a metapackage bringing in datasets extras requires for python3-google-cloud-aiplatform. It makes sure the dependencies are installed.

python3-google-cloud-aiplatform+cloud_profiler-1.92.0-1.lbn36.noarch: This is a metapackage bringing in cloud_profiler extras requires for python3-google-cloud-aiplatform. It makes sure the dependencies are installed.

python3-google-cloud-aiplatform+autologging-1.92.0-1.lbn36.noarch: This is a metapackage bringing in autologging extras requires for python3-google-cloud-aiplatform. It makes sure the dependencies are installed.

python3-google-cloud-aiplatform-1.92.0-1.lbn36.noarch: Vertex AI SDK for Python |GA| |pypi| |versions| |unit-tests| |system-tests| |sample-tests| Vertex AI_: Google Vertex AI is an integrated suite of machine learning tools and services for building and using ML models with AutoML or custom code. It offers both novices and experts the best workbench for the entire machine learning development lifecycle.- Client Library Documentation_ - Product...

python3-msrest-0.7.1-1.lbn36.noarch: AutoRest: Python Client Runtime Installation To install:.. code-block:: bash $ pip install msrest Release History 2022-06-10 Version 0.7.1 +++++++++++++++++++++++++**Bugfixes**- Declare correctly msrest as Python 3.6 and more only for clarity 251 2022-06-07 Version 0.7.0 +++++++++++++++++++++++++

python3-msal-extensions-1.2.0-1.lbn36.noarch: The Microsoft Authentication Extensions for Python offers secure mechanisms for client applications to perform cross-platform token cache serialization and persistence. It gives additional support to the Microsoft Authentication Library for Python (MSAL). MSAL Python supports an in-memory cache by default and provides the SerializableTokenCache to perform cache serialization. You can read more about this in the MSAL Python documentation. Developers are required to implement their own cache persistance across multiple platforms and Microsoft Authentication Extensions makes this simpler.

python3-msal+broker-1.31.2~b1-1.lbn36.noarch: This is a metapackage bringing in broker extras requires for python3-msal. It makes sure the dependencies are installed.

python3-msal-1.31.2~b1-1.lbn36.noarch: The Microsoft Authentication Library for Python enables applications to integrate with the Microsoft identity platform. It allows you to sign in users or apps with Microsoft identities (Azure AD, Microsoft Accounts and Azure AD B2Caccounts) and obtain tokens to call Microsoft APIs such as Microsoft Graph or your own APIs registered with the Microsoft identity platform. It is built using industry standard OAuth2 and OpenID Connect protocols.

python3-grpcio-status-1.59.0-1.lbn36.noarch: gRPC Python Status Proto Reference package for GRPC Python status proto mapping.Supported Python Versions - Python > 3.7Dependencies Depends on the grpcio package, available from PyPI via pip install grpcio.

python3-grpcio-health-checking-1.48.4-41.lbn36.noarch: gRPC Python Health Checking =========================== Reference package for GRPC Python health checking.

python3-grpc-interceptor-0.15.4-1.lbn36.noarch: [![Tests]( [![Codecov]( [![Read the Docs]( [![PyPI]( SummarySimplified Python gRPC interceptors.The Python grpc package provides service interceptors, but they're a bit hard to

python3-numba-0.61.2-1.lbn36.x86_64: Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.

python3-hyperframe-6.1.0-1.lbn36.noarch: Pure-Python HTTP/2 framing This library contains the HTTP/2 framing code used in the hyper project. It provides a pure-Python codebase that is capable of decoding a binary stream into HTTP/2 frames. This library is used directly by hyper and a number of other projects to provide HTTP/2 frame decoding logic.

python3-hpack-4.1.0-1.lbn36.noarch: HTTP/2 Header Encoding for Python This module contains a pure-Python HTTP/2 header encoding (HPACK) logic for use in Python programs that implement HTTP/2. It also contains a compatibility layer that automatically enables the use of nghttp2 if it's available.

python3-msrestazure-0.6.4-9.fc36.noarch: The runtime library "msrest" for AutoRest generated Python clients

python3-h2-4.2.0-1.lbn36.noarch: HTTP/2 Protocol Stack This repository contains a pure-Python implementation of a HTTP/2 protocol stack. It's written from the ground up to be embeddable in whatever program you choose to use, ensuring that you can speak HTTP/2 regardless of your programming paradigm.

python3-google-resumable-media-2.7.2-1.lbn36.noarch: google-resumable-media Utilities for Google Media Downloads and Resumable Uploads See the docs_ for examples and usage... _docs: asyncio Support While still in development and subject to change, this library has asyncio support at google._async_resumable_media. Supported Python Versions - Python > 3.7Unsupported Python Versions Python 2.7, Python 3.5, Python 3.6.The last version of this...

python3-openai+datalib-1.77.0-1.lbn36.noarch: This is a metapackage bringing in datalib extras requires for python3-openai. It makes sure the dependencies are installed.

python3-openai-1.77.0-1.lbn36.noarch: The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language. It includes a pre-defined set of classes for API resources that initialize themselves dynamically from API responses which makes it compatible with a wide range of versions of the OpenAI API.

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