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python3-numpy-2.2.4-1.lbn36.x86_64
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation. Also included in
this package is a version of f2py that works properly with NumPy.
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python3-numpy-f2py-2.2.4-1.lbn36.x86_64
This package includes a version of f2py that works properly with NumPy.
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python3-ollama-0.4.7-1.lbn36.noarch
Ollama Python Library
The Ollama Python library provides the easiest way to integrate Python 3.8+ projects with Ollama.
Prerequisites
Ollama should be installed and running
Pull a model to use with the library: ollama pull <model> e.g. ollama pull llama3.2
See Ollama.com for more information on the models available.
Usage
from ollama import chat
from ollama import ChatResponse
response: ChatResponse = chat(model='llama3.2', messages=[
{
'role': 'user',
'content': 'Why is the sky blue?',
},
])
print(response['message']['content'])
print(response.message.content)
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python3-openai+realtime-1.77.0-1.lbn36.noarch
This is a metapackage bringing in realtime extras requires for python3-openai.
It makes sure the dependencies are installed.
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python3-openai+voice_helpers-1.77.0-1.lbn36.noarch
This is a metapackage bringing in voice_helpers extras requires for
python3-openai.
It makes sure the dependencies are installed.
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python3-openai-datalib-1.6.1-1.lbn36.noarch
Data libraries like numpy and pandas are not installed by default due to their
size. They’re needed for some functionality of this library, but generally not
for talking to the API.
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python3-openai-embeddings-1.6.1-1.lbn36.noarch
Install dependencies for embedding utilities.
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python3-openai-wandb-1.6.1-1.lbn36.noarch
Install support for Weights and Biases
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python3-openapi-client-0.21.2-3.lbn36.noarch
openapi-python-client
Generate modern Python clients from OpenAPI 3.0 and 3.1 documents.
This generator does not support OpenAPI 2.x FKA Swagger. If you need to use an older document, try upgrading it to
version 3 first with one of many available converters.
This project is still in development and does not support all OpenAPI features
Why This?
This tool focuses on creating the best developer experience for Python developers by:
Using all the latest and greatest Python features like type annotations and dataclasses.
Having documentation and usage instructions specific to this one generator.
Being written in Python with Jinja2 templates, making it easier to improve and extend for Python developers. It's also much easier to install and use if you already have Python.
Installation
I recommend you install with pipx so you don't conflict with any other packages you might have: pipx install openapi-python-client --include-deps.
Note the --include-deps option makes ruff available in your
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python3-openapi-core-0.18.2-1.lbn36.noarch
About
Openapi-core is a Python library that adds client-side and server-side support
for the OpenAPI v3.0
and OpenAPI v3.1 specification.
Key features
Validation and unmarshalling of request and response data (including webhooks)
Integration with popular libraries (Requests, Werkzeug) and frameworks (Django, Falcon, Flask, Starlette)
Customization with media type deserializers and format unmarshallers
Security data providers (API keys, Cookie, Basic and Bearer HTTP authentications)
Documentation
Check documentation to see more details about the features. All documentation is in the “docs” directory and online at openapi-core.readthedocs.io
Installation
Recommended way (via pip):
pip install openapi-core
Alternatively you can download the code and install from the repository:
pip install -e git+https:/github.com/python-openapi/openapi-core.git#egg=openapi_core
First steps
Firstly create your OpenAPI object.
from openapi_core import OpenAPI
openapi = OpenAPI.from_file_path('op
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