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python3-mysql-connector-python-9.0.0-1.lbn36.noarch
MySQL driver written in Python which does not depend on MySQL C client
libraries and implements the DB API v2.0 specification (PEP-249).
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python3-mysqlclient-2.1.1-2.fc36.x86_64
MySQLdb is an interface to the popular MySQL database server that provides
the Python database API.
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python3-openlineage-integration-common-1.24.2-1.lbn36.noarch
Common modules for OpenLineage integrations.
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python3-openlineage-python-1.24.2-1.lbn36.noarch
OpenLineage-python
To install from source, run:
$ python -m pip install .
Configuration
Config file
The most common way to configure the OpenLineage Client is by .yaml file, which contains all the
details of how to connect to your OpenLineage backend.
The config file is located by:
looking at the OPENLINEAGE_CONFIG environment variable
looking for the openlineage.yml file in the current working directory
looking for the openlineage.yml file in the $HOME/.openlineage directory.
Different ways of connecting to OpenLineage backend are supported
by the standardized Transport interface.
This is an example config for specifying http transport:
transport:
type: "http"
url: "https:/backend:5000"
auth:
type: "api_key"
api_key: "f048521b-dfe8-47cd-9c65-0cb07d57591e"
The type property is required. It can be one of the built-in transports or a custom one.
There are four built-in transports, http, kafka, console and file.
Custom transports type is a fully qualified class name that
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python3-openlineage-sql-1.24.2-1.lbn36.x86_64
Python interface for the Rust OpenLineage lineage extraction library
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python3-opensearch-py-2.8.0-1.lbn36.noarch
opensearch-py is a community-driven, open source OpenSearch client
licensed under the Apache v2.0 License.
For more information, see opensearch.org.
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python3-opensearch-py+async-2.8.0-1.lbn36.noarch
This is a metapackage bringing in async extras requires for
python3-opensearch-py.
It makes sure the dependencies are installed.
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python3-opensearch-py+kerberos-2.8.0-1.lbn36.noarch
This is a metapackage bringing in kerberos extras requires for
python3-opensearch-py.
It makes sure the dependencies are installed.
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python3-pgvector-0.3.6-1.lbn36.noarch
pgvector-python
pgvector support for Python
Supports Django, SQLAlchemy, SQLModel, Psycopg 3, Psycopg 2, asyncpg, and Peewee
Installation
Run:
pip install pgvector
And follow the instructions for your database library:
Django
SQLAlchemy
SQLModel
Psycopg 3
Psycopg 2
asyncpg
Peewee
Or check out some examples:
Embeddings with OpenAI
Sentence embeddings with SentenceTransformers
Hybrid search with SentenceTransformers (Reciprocal Rank Fusion)
Hybrid search with SentenceTransformers (cross-encoder)
Sparse search with Transformers
Image search with PyTorch
Image search with perceptual hashing
Implicit feedback recommendations with Implicit
Explicit feedback recommendations with Surprise
Recommendations with LightFM
Horizontal scaling with Citus
Bulk loading with COPY
Django
Create a migration to enable the extension
from pgvector.django import VectorExtension
class Migration(migrations.Migration):
operations = [
VectorExtension()
]
Add a vector field to your model
fro
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python3-snowflake-connector-3.15.0-1.lbn36.x86_64
This package includes the Snowflake Connector for Python, which conforms to the
Python DB API 2.0 specification: Documentation is available at: code is also
available at: Release Notes- v2.8.2(November 18,2022) - Improved performance of
OCSP response caching - During the execution of GET commands we no longer
resolve target location on the local machine - Improved performance of regexes
used...
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