semvec/pypi-packages huggingface dataset:
pysqream-blue-sqlalchemy 0.9.3
SQLAlchemy dialect for SQream Blue
Requires Python: >=3.9
Keywords: database sqlalchemy sqream sqreamdb

**********************************
SQLAlchemy Dialect for SQream DB
**********************************

Requirements
=====================

* Python > 3.9.
* SQLAlchemy == 1.3.18
* SQream Blue DB-API Connector >= 1.0.42

Installation
=====================

Install from the PyPi repository using `pip`:

.. code-block:: bash

    pip3.9 install --upgrade pysqream_blue_sqlalchemy

Usage
===============================

Integrating with SQLAlchemy
----------------------------

.. code-block:: python

    import sqlalchemy as sa
    _access_token = "ACCESS TOKEN"
    conn_str = f"sqream_blue://domain:443/database"
    connect_args = {'access_token': _access_token}
    engine = sa.create_engine(conn_string, connect_args=connect_args)
    conn = engine.connect()
    res = conn.execute("select 'Success' as Test").fetchall()
    print(res)

Integrating with the IPython/Jupyter SQL Magic
-----------------------------------------------

.. code-block:: python

    %load_ext sql
    %config SqlMagic.autocommit=False
    %config SqlMagic.displaycon=False
    %config SqlMagic.autopandas=True
    %sql sqream_blue://product.isqream.com/master?access_token=<ACCESS_TOKEN>
    %sql select 'Success' as Test


Connection String 
=====================

.. code-block:: shell

    sqream_blue://<domain>:443/<db_name>

Parameters
------------

.. list-table:: 
   :widths: auto
   :header-rows: 1

   * - Parameter
     - Description
   * - ``domain``
     - Specifies the domain
   * - ``port``
     - Specifies the port number
   * - ``database``
     - Specifies the database name 


Limitations
=============

Parameterized Queries
-----------------------

SQream SQLAlchemy supports only the ``BULK INSERT`` statement.
mortalprogressbar 1.0.1
A package for simple progress bar

# Simple Library for Progress Bar

## Install
- With pipenv
    - `pipenv install mortalprogressbar`

## Usage

### Import
`from progress import ProgressBar`

### Use

```python
with ProgressBar(total=100, width=30, prefix="Processing...") as bar:
    bar.update(add=1)
```

### Example

```python
with ProgressBar(total=100, width=30, prefix="Processing...") as bar:
    for _ in range(total):
        bar.update(add=1)
        time.sleep(0.05)
```

## Result

`| Testing... |██████████████████████████████| 100% - 100 / 100 | TTL / ETA: 2.49s / 0.00s | AVG: 40.13/s |`

### 已支援中文 prefix

`| 處理中... |██████████████████████████████| 100% - 100 / 100 | TTL / ETA: 2.49s / 0.00s | AVG: 40.13/s |`

### 若 width == -1 則會填滿整個 terminal 長度

![](https://i.imgur.com/0NRVWob.png)
br-common 0.0.16
A python project common code package

# **br-common**

`br-common` is a reusable Python package designed to centralize common utilities, SQLAlchemy models, and shared logic. It simplifies the management of shared functionality across multiple microservices, ensuring consistency, scalability, and ease of development.

## **Key Features**

- **Centralized Utility Functions:** Access reusable utility functions across all microservices from a single location, reducing redundancy and promoting clean code.
- **SQLAlchemy Models:** Maintain and share common database models easily across services.
- **Reusable Across Microservices:** Ideal for microservice architectures that require shared utilities and models across various services.

## **Installation**

Install the `br-common` package directly from PyPI using pip:

```bash
pip install br-common
```

## Migration

- Please set the environment variable in your .env file
```bash
DATABASE_URI="postgresql://user:password@host/db_name"
```

- Install the dependencies using below command
```bash
pip install -r requirements.txt 
```

- Create new migration files use below command
```bash
inv migration-create -m "migration message"
```

- Apply the migration
```bash
inv migration-upgrade
```

- Remove latest applied migration
```bash
inv migration-downgrade
```
nlp-persian-text-tokenize-snd 0.1.1
This library is designed to tokenize Persian texts.
Requires Python: >=3.6

# کتابخانه Tokenize برای زبان فارسی

این کتابخانه بخشی از پروژه NLP است که با استفاده از آن میتوان یک متن فارسی را به جملات خاص تقسیم و جملات را به کلمات تقسیم کرد..

## نصب

برای نصب این کتابخانه کافیه از دستور زیر استفاده کنید: 

```bash
pip install nlp-persian-text-tokenize-snd==0.1.1
```

## نحوه پیاده‌سازی

برای استفاده از کتابخانه، می‌توانید از کد نمونه زیر استفاده کنید:

```python
# -*- coding: utf-8 -*-
from pht.tokenizer.TokenizerManager import TokenizerManager

content = 'این یک متن تست فارسی است. آیا درست کار میکند؟ بیاید ببینیم!'
sen = TokenizerManager(content)
print(sen.tokenizing())
```
pstash 0.1.4
P Stash provides encrypted storage and data exchange for Python applications.
Requires Python: <4,>=3.6

# Introduction

PStash is a Python binding for the Stash library. It enables encrypted data storage and exchange. Similar to traditional systems, Stash offers controlled access with a security model inspired by Unix permissions.
Unlike traditional storage, the access is based on cryptographic features, enabling distributed control.

For more details, please refer to [http://github.com/stregato/stash](http://github.com/stregato/stash)
xtensor-pp 0.0.2
A gdb pretty printer for xtensor
Requires Python: >=3.8

# xtensor_pp
GDB c++ [Xtensor](https://xtensor.readthedocs.io/en/latest/) containers. slices, etc..

Execute code.
`(gdb) p $xt2np("ar2")`

The
![Eclipse debugging session with the gdb_xt2np helper](gdb_xt2np_example.png)

### Version 0.1

### FAQ
* For
### AUTHORS
Eugène Sanscartier

### Dependencies & Setup
Well
`alias `

Starting  `(gdb) show version` reports
```
(gdb) py
>import sys
>print(sys.version)
>end
2.7.5 (default, Nov 16 2020, 22:23:17)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-44)]
```

### TODOs
* Add
* How