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python3-persistent-devel-4.9.0-1.lbn36.x86_64
persistent include files
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BastionLinux 36
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python3-petl-1.1.1-1.lbn25.py37.noarch
petl Extract, Transform and Load (Tables of Data) petl is a general purpose
Python package for extracting, transforming and loading tables of data. Docs:
Source: Download: Mailing list: also petlx < a library of extension modules for
petl.
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python3-petlx-1.0.3-1.lbn25.py37.noarch
petlx Extensions to the petl package petlx is a collection of domainspecific
and/or experimental extensions to petl < a Python package for extracting,
transforming and loading tables of data. Docs: Source: Download: Mailing list:
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python3-pexpect-4.9.0-5.lbn36.noarch
Pexpect is a pure Python module for spawning child applications; controlling
them; and responding to expected patterns in their output. Pexpect works like
Don Libes' Expect. Pexpect allows your script to spawn a child application and
control it as if a human were typing commands. This package contains the
python3 version of this module.
Pexpect can be used for automating interactive applications such as ssh, ftp,
passwd, telnet, etc. It can be used to automate setup scripts for duplicating
software package installations on different servers. And it can be used for
automated software testing. Pexpect is in the spirit of Don Libes' Expect, but
Pexpect is pure Python. Unlike other Expect-like modules for Python, Pexpect
does not require TCL or Expect nor does it require C extensions to be
compiled. It should work on any platform that supports the standard Python
pty module.
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python3-pgpdump-1.2.12-19.fc36.noarch
python-pgpdump is a Python 3 library for parsing PGP packets. The intent here
is not on completeness, as we don't currently decode every packet type, but
on being able to do what people actually have to 95% of the time.
Currently supported things include:
* Signature packets
* Public key packets
* Secret key packets
* Trust, user ID, and user attribute packets
* ASCII-armor decoding and CRC check
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python3-pgsanity-0.2.9-1.lbn36.noarch
**PgSanity checks the syntax of Postgresql SQL files.**It does this by
leveraging the ecpg command which is traditionally used for preparing C files
with embedded sql for compilation. However, as part of that preparation, ecpg
checks the embedded SQL statements for syntax errors using the exact same
parser that is in PostgreSQL.So the approach that PgSanity takes is to take a
file that has a...
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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-phonenumberslite-8.13.39-1.lbn36.noarch
phonenumbers Python Library [.Original Java code is Copyright
(C) 2009-2015 The Libphonenumber Authors.Release [HISTORY](
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python3-pickleshare-0.7.3-1.lbn19.noarch
PickleShare - a small ‘shelve’ like datastore with concurrency support
Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve, many processes can access the database simultaneously. Changing a value in database is immediately visible to other processes accessing the same database.
Concurrency is possible because the values are stored in separate files. Hence the “database” is a directory where all files are governed by PickleShare.
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python3-pickleshare-0.7.5-8.fc36.noarch
PickleShare - a small ‘shelve’ like data store with concurrency support.
Like shelve, a PickleShareDB object acts like a normal dictionary.
Unlike shelve, many processes can access the database simultaneously.
Changing a value in database is immediately visible to other processes
accessing the same database.
Concurrency is possible because the values are stored in separate files.
Hence the “database” is a directory where all files are governed
by PickleShare.
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