semvec/pypi-packages huggingface dataset:
sortrenamer 1.0.0
Cross-platform desktop GUI app, that renames/moves (sorts) images and other files, and finds and moves duplicates.
Requires Python: >=3.12
Keywords: exif, rename, move, duplicates

# SortRenamer

## Tools:

- [X] Renames images by the date they were created (uses exif, if not, then the date issued by the operating system).
- [X] Renames files according to a given pattern.
- [X] Moves files by extension into folders (only within 1 file system; also, with any movement, files are renamed).
- [X] Moves images by creation date into year/month folders (images are also renamed).
- [X] Finds duplicate files and moves them all into 1 folder.

## Install

    pip install sortrenamer

## Run

    sortrenamer
PanelOLSPipeline 0.1.1
A package to preprocess data, fit models, and calculate VIF for Panel Data Regression
Requires Python: >=3.6

# OLS_pipeline

A Python package to preprocess data, fit models, and calculate VIF.

## Installation

You can install the package using pip:


## Usage

```python
import OLS_pipeline.pipeline as OLS_pipe

data_path = "path/to/your/data.csv"

dependent_var = 'Target'
independent_vars = ['Feature1','Feature2']
normalize_cols = ['Feature3', 'Feature4', 'Feature5']
weight_dict = {'Normalized_F3': 0.4, 'Normalized_F4': 0.2, 'Normalized_F5': 0.4}
#Note Normalized_F3=Feature 3 which you input in normalized_cols and weights should be summed up to 1
interaction_pairs = [('Feature_x', 'Feature_y')]#Dot product of both the features

results = OLS_pipe.pipeline(data_path, dependent_var, independent_vars, normalize_cols, weight_dict, interaction_pairs)
fixed_effects_results, random_effects_model, vif_data = results 
```
sqlormx-generator 0.1.0
sqlormx-generator is a model code generator from tables for sqlormx_generator.
Requires Python: >=3.5
Keywords: SQL, sqlormx, python

Install
'''''''

.. code:: shell

   pip install sqlormx_generator

Usage Sample
''''''''''''

.. code:: python

       from sqlormx_generator import Generator

       if __name__ == '__main__':
           coder = Generator(host='127.0.0.1', port='3306', user='xxx', password='xxx', database='test')
           # you can generate a model class for one table
           coder.generate_with_tables(tables='user', path='models.py')
           # you can generate model classes for tables
           coder.generate_with_tables(tables=['user', 'person'], path='models.py')
           # you can generate model classes for all tables from a given schema. default current schema if not given
           coder.generate_with_schema(schema='test', path='models.py')

If you run last code, then generate a file 'models.py' in current
directory like follow:

.. code:: python

       from decimal import Decimal
       from dataclasses import dataclass
       from datetime import date, datetime
       from sqlormx import Model

       @dataclass
       class BaseModel(Model):
           id: int = None
           create_by: int = None
           create_time: datetime = None
           update_by: int = None
           update_time: datetime = None
           del_flag: int = None


       @dataclass
       class User(BaseModel):
           __table__ = 'user'
           name: str = None
           age: int = None
           birth_date: date = None
           sex: int = None


SQLORMX: https://pypi.org/project/sqlormx
gouba 1.0.0
The SouGou Searcher On Python|Python 搜狗搜索工具

## 介绍
`GouBa` python 搜狗搜索引擎|Python Sougou Searcher

## 安装
``` bush
pip install gouba
```
## 使用
**1.命令方式** | **Bush**
``` bush
woof [keyword] 
```
**2.Pyhton使用** 
``` python
import gouba
s=gouba.woof("python教程")
print(s)
```
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