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python3-openapi-schema-validator-0.6.3-1.lbn36.noarch
About
Openapi-schema-validator is a Python library that validates schema against:
OpenAPI Schema Specification v3.0 which is an extended subset of the JSON Schema Specification Wright Draft 00.
OpenAPI Schema Specification v3.1 which is an extended superset of the JSON Schema Specification Draft 2020-12.
Installation
Recommended way (via pip):
$ pip install openapi-schema-validator
Alternatively you can download the code and install from the repository:
$ pip install -e git+https:/github.com/p1c2u/openapi-schema-validator.git#egg=openapi_schema_validator
Usage
By default, the latest OpenAPI schema syntax is expected.
To validate an OpenAPI v3.1 schema:
from openapi_schema_validator import validate
schema = {
"type": "object",
"required": [
"name"
],
"properties": {
"name": {
"type": "string"
},
"age": {
"type": ["integer", "null"],
"format": "int32",
"minimum": 0,
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python3-openapi-spec-validator-0.7.1-1.lbn36.noarch
********************** OpenAPI Spec validator ********************** :target:
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python3-optuna-4.3.0-1.lbn36.noarch
Optuna is an automatic hyperparameter optimization software framework,
particularly designed for machine learning. It features an imperative,
define-by-run style user API. Thanks to our define-by-run API, the
code written with Optuna enjoys high modularity, and the user of
Optuna can dynamically construct the search spaces for the hyperparameters.
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python3-pinecone-6.0.2-1.lbn36.noarch
Pinecone Python SDK
The official Pinecone Python SDK.
Documentation
Conceptual docs and guides
Python Reference Documentation
Upgrading the SDK
[!NOTE]
The official SDK package was renamed from pinecone-client to pinecone beginning in version 5.1.0.
Please remove pinecone-client from your project dependencies and add pinecone instead to get
the latest updates.
For notes on changes between major versions, see Upgrading
Prerequisites
The Pinecone Python SDK is compatible with Python 3.9 and greater. It has been tested with CPython versions from 3.9 to 3.13.
Before you can use the Pinecone SDK, you must sign up for an account and find your API key in the Pinecone console dashboard at https:/app.pinecone.io.
Installation
The Pinecone Python SDK is distributed on PyPI using the package name pinecone. By default the pinecone has a minimal set of dependencies, but you can install some extras to unlock additional functionality.
Available extras:
pinecone[asyncio] will add a dependency
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python3-pinecone-plugin-interface-0.0.7-1.lbn36.noarch
This small package is used to distribute a few classes and utilities used to build and consume plugins for the Pinecone Python SDK.
At present this package is experimental and intended for internal use by Pinecone engineers iterating on new features. It should not be used by end-users or partners.
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python3-pyautogen+anthropic-0.9.1-1.lbn36.noarch
This is a metapackage bringing in anthropic extras requires for
python3-pyautogen.
It makes sure the dependencies are installed.
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python3-pyautogen+autobuild-0.9.1-1.lbn36.noarch
This is a metapackage bringing in autobuild extras requires for
python3-pyautogen.
It makes sure the dependencies are installed.
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python3-pyautogen+bedrock-0.9.1-1.lbn36.noarch
This is a metapackage bringing in bedrock extras requires for
python3-pyautogen.
It makes sure the dependencies are installed.
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python3-pyautogen+blendsearch-0.9.1-1.lbn36.noarch
This is a metapackage bringing in blendsearch extras requires for
python3-pyautogen.
It makes sure the dependencies are installed.
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python3-pyautogen+browser-use-0.9.1-1.lbn36.noarch
This is a metapackage bringing in browser-use extras requires for
python3-pyautogen.
It makes sure the dependencies are installed.
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