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python3-annotated-types-0.6.0-1.lbn36.noarch
annotated-types
PEP-593 added typing.Annotated as a way of
adding context-specific metadata to existing types, and specifies that
Annotated[T, x] should be treated as T by any tool or library without special
logic for x.
This package provides metadata objects which can be used to represent common
constraints such as upper and lower bounds on scalar values and collection sizes,
a Predicate marker for runtime checks, and
descriptions of how we intend these metadata to be interpreted. In some cases,
we also note alternative representations which do not require this package.
Install
pip install annotated-types
Examples
from typing import Annotated
from annotated_types import Gt, Len, Predicate
class MyClass:
age: Annotated[int, Gt(18)] # Valid: 19, 20, ...
factors: list[Annotated[int, Predicate(is_prime)]] # Valid: 2, 3, 5, 7, 11, ...
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python3-py4j-0.10.9.7-1.lbn36.noarch
Py4J enables Python programs running in a Python interpreter
to dynamically access Java objects in a Java Virtual Machine.
Methods are called as if the Java objects resided in the Python
interpreter and Java collections can be accessed through standard
Python collection methods.
Py4J also enables Java programs to call back Python objects.
Py4J is distributed under the BSD license.
This package is for usage with Python3 version 3.10 only.
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python3-pyhive-0.7.0-1.lbn36.noarch
PyHive is a collection of Python DB-API <and
SQLAlchemy ierfaces for Presto and Hive
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python3-pyhive+hive-0.7.0-1.lbn36.noarch
This is a metapackage bringing in hive extras requires for python3-pyhive.
It makes sure the dependencies are installed.
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python3-pyhive+hive_pure_sasl-0.7.0-1.lbn36.noarch
This is a metapackage bringing in hive_pure_sasl extras requires for
python3-pyhive.
It makes sure the dependencies are installed.
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python3-pyhive+presto-0.7.0-1.lbn36.noarch
This is a metapackage bringing in presto extras requires for python3-pyhive.
It makes sure the dependencies are installed.
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python3-pykerberos-1.2.4-1.lbn36.x86_64
This Python package is a high-level wrapper for Kerberos (GSSAPI) operations.
The goal is to avoid having to build a module that wraps the entire
Kerberos.framework, and instead offer a limited set of functions that do what
is needed for client/server Kerberos authentication based on <
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python3-pymssql-2.3.0-3.lbn36.x86_64
A simple database interface for Python that builds on top of FreeTDS to provide
a Python DB-API (PEP-249) interface to Microsoft SQL Server.
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python3-pymysql-1.1.1-1.lbn36.noarch
PyMySQL
This package contains a pure-Python MySQL client library, based on PEP249.
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python3-qdrant-client-1.10.1-1.lbn36.noarch
Python Client library for the Qdrant vector search engine.
Python Qdrant Client
Client library and SDK for the Qdrant vector search engine. Python Client API Documentation is available here.
Library contains type definitions for all Qdrant API and allows to make both Sync and Async requests.
Client allows calls for all Qdrant API methods directly.
It also provides some additional helper methods for frequently required operations, e.g. initial collection uploading.
See QuickStart for more details!
Installation
pip install qdrant-client
Features
Type hints for all API methods
Local mode - use same API without running server
REST and gRPC support
Minimal dependencies
Extensive Test Coverage
Local mode
Python client allows you to run same code in local mode without running Qdrant server.
Simply initialize client like this:
from qdrant_client import QdrantClient
client = QdrantClient(":memory:")
client = QdrantClient(path="path/to/db") # Persists changes to disk
Local mo
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