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python3-hdfs+kerberos-2.7.3-1.lbn36.noarch
This is a metapackage bringing in kerberos extras requires for python3-hdfs.
It makes sure the dependencies are installed.
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python3-immutabledict-4.2.1-2.lbn36.noarch
Implements the complete mapping interface and can be used as a drop-in
replacement for dictionaries where immutability is desired. The immutabledict
constructor mimics dict, and all of the expected interfaces (iter, len, repr,
hash, getitem) are provided.
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python3-pinecone-client-4.1.2-1.lbn36.noarch
Pinecone Python Client
The official Pinecone Python client.
For more information, see the docs at https:/www.pinecone.io/docs/
Documentation
If you are upgrading from a 2.2.x version of the client, check out the v3 Migration Guide.
Reference Documentation
Example code
Many of the brief examples shown in this README are using very small vectors to keep the documentation concise, but most real world usage will involve much larger embedding vectors. To see some more realistic examples of how this client can be used, explore some of our many Jupyter notebooks in the examples repository.
Prerequisites
The Pinecone Python client is compatible with Python 3.8 and greater.
Installation
There are two flavors of the Pinecone python client. The default client installed from PyPI as pinecone-client has a minimal set of dependencies and interacts with Pinecone via HTTP requests.
If you are aiming to maximimize performance, you can install additional gRPC dependencies to access an alternate clie
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python3-pinecone-plugin-inference-0.4.1-1.lbn36.noarch
Inference API plugin for python SDK
Installation
The plugin is distributed separately from the core python sdk.
pip install pinecone-client
pip install pinecone-plugin-inference
Usage
Interact with Pinecone's Inference APIs, e.g. create embeddings (currently in preview).
Models currently supported:
multilingual-e5-large
Generate embeddings
The following example highlights how to use an embedding model to generate embeddings for a list of documents and a
user query, with the ultimate goal of retrieving similar documents from a Pinecone index.
from pinecone import Pinecone
pc = Pinecone(api_key="<<PINECONE_API_KEY>>")
model = "multilingual-e5-large"
text = [
"Turkey is a classic meat to eat at American Thanksgiving.",
"Many people enjoy the beautiful mosques in Turkey.",
]
text_embeddings = pc.inference.embed(
model=model,
inputs=text,
parameters={"input_
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python3-portalocker-2.10.0-1.lbn36.noarch
Library to provide an easy API to file locking
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python3-xmltodict-0.13.0-4.lbn36.noarch
xmltodict is a Python module that makes working with XML feel like you are
working with JSON. It's very fast (Expat-based) and has a streaming mode
with a small memory footprint, suitable for big XML dumps like Discogs or
Wikipedia.
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python3-aliyun-python-sdk-2.2.0-1.lbn36.noarch
UNKNOWN
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python3-aliyun-python-sdk-aas-2.1.1-2.lbn36.noarch
Aliyun Python SDK is the official software development kit. It makes things easy to integrate your Python application, library, or script with Aliyun services.
This module works on Python versions:
2.6.5 and greater
Documentation:
Please visit http:/develop.aliyun.com/sdk/python
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python3-aliyun-python-sdk-acm-1.0.1-2.lbn36.noarch
Aliyun Python SDK is the official software development kit. It makes things easy to integrate your Python application, library, or script with Aliyun services.
This module works on Python versions:
2.6.5 and greater
Documentation:
Please visit http:/develop.aliyun.com/sdk/python
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python3-aliyun-python-sdk-actiontrail-2.2.0-1.lbn36.noarch
aliyun-python-sdk-actiontrail .. This is the actiontrail module of Aliyun
Python SDK.Aliyun Python SDK is the official software development kit. It makes
things easy to integrate your Python application, library, or script with
Aliyun services.This module works on Python versions:2.6.5 and
greater**Documentation:**Please visit <
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