semvec/pypi-packages huggingface dataset:
aya-mixer 1.0.0
mixing high school tests
Requires Python: >=3.9
Keywords: mix,test

# mixer09122022


`mixer2` is the version that works. 

`mixer3` is for refactoring attempts.

## mixer2

`test_many.py` is whether the program lives.

it inputs `de_chua_tron_091122.html` and output N (4) tests `de_da_tron_{id}.html` with all the answers written in `cau_tra_loi.docx`

## notes


-    libre to save docx as html (not export) (to preserve all the images of equations and subscripts)
-    python to mix and output the tests (in html) with its answers (`docx`)
-    libre writer to save html as docx, then export to pdf to preserve all the images
- input needs to be formatted in a particular way (as in `de_chua_tron_091122.docx`

## code logic

- input `html` and read into a `BeautifulSoup` document
- get the questions into an array. `shuffle` the array N times
- traverse the question array with a `for` loop: process the question along the way (add bold title, pack images, shuffle answers)
- output to 4 `html` files, output the answers to one file (with timestamp and testID)

## further consideration
 questions with answers are tabulated or not. and are html tags which can be stored in a database for further web app development.
# test
# test
python-InstagramBusinessAPI 0.1.0
Instagram Business API to POST content to Instagram

# InstagramAPI
Package for the Instagram Business API - Python


# InstagramAPI - Python Package
A small demo library for a Medium publication about publishing libraries.

### Installation
```
pip install python-InstagramBusinessAPI
```

### Get started
How to post an image to Instagram with this package.

```Python
from InstagramAPI.InstagramBusinessAPI import InstagramBusinessAPI

instagram_api = InstagramBusinessAPI(ig_user_id=IG_USER_ID, access_token=ACCESS_TOKEN)
img_container = instagram_api.ImageContainer("https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.pinterest.com%2Fpin%2F441563938470171685%2F&psig=AOvVaw1-BpG1NgnVMHPDpdeV6Ute&ust=1670330141317000&source=images&cd=vfe&ved=0CA8QjRxqFwoTCMDF_eW-4vsCFQAAAAAdAAAAABAE", "Test Image")
instagram_api.post_local_container_to_instagram(img_container)
```


# Thanks to
Skolo Online Learning for this amazing [article](https://levelup.gitconnected.com/automating-instagram-posts-with-python-and-instagram-graph-api-374f084b9f2b).
jeremyrandompassword 0.0.1
API for random password generator
Requires Python: >=3.6

Blog
https://wangonya.com/blog/publishing-package-on-test-pypi/

# install dependencies
pip install pipdeptree
pip install twine 

# build your python codebase
python setup.py sdist bdist_wheel

# publist to testpypi
twine upload --repository-url https://test.pypi.org/legacy/ dist/*
# publish to pypi
twine upload dist/*


RUNNING UNIT TESTS 

# To run unit tests - goto src directory - make sure you are in parent of tests (where all the test file resides)

Run the following command

python -m unittest discover
PyQSF 1.0.0
Python Quelert System Files
Requires Python: >=3.6

# PyQSF 1.0.0

Python Quelert system files [PyQSF] 

Библеотека PyQSF сделана на основе модуля os.

**Установка** <code>pip install PyQSF</code>

# Пример

<code>

import PyQSF

init()

PyQSF.mkdir("Folder") # Создаёт пустую папку
PyQSF.chdir("Folder") # Переходит в папку Folder

PyQSF.chdir("../") # Выходит из папки

PyQSF.rmdir("Folder") # Удаляет папку

</code>

------------------------------------------------
fathah 0.0.2
Lightweight NLP preprocessing package for Arabic language
Keywords: nlp,fathah,arabic


# fathah
Lightweight NLP preprocessing package for Arabic language

## Installation
```sh
pip install fathah
```
## Usage
```python
from Fathah import TextClean
```

## Methods 

 ### Clean the text 
`clean_text` function includes all these functions:   
  >      1. remove_emails  
  >      2. remove_URLs  
  >      3. remove_mentions   
  >      4. hashtags_to_words     
  >      5. remove_punctuations  
  >      6. normalize_arabic   
  >      7. remove_diacritics   
  >      8. remove_repeating_char   
  >      9. remove_stop_words   
  >      10. remove_emojis

 In other words, `clean_text` includes all functions except `remove_hashtags` 
```
text_cleaned1 = TextClean.clean_text(text)
print(text_cleaned1)
```

 ### Remove repeating character
`remove_repeating_char` function
```
text_cleaned2 = TextClean.remove_repeating_char(text)
print(text_cleaned2)
```

 ### Remove punctuations
`remove_punctuations` function
```
text_cleaned3 = TextClean.remove_punctuations(text)
print(text_cleaned3)
```

 ### Normalize Arabic
`normalize_arabic` function

```
text_cleaned4 = TextClean.normalize_arabic(text)
print(text_cleaned4)
```

 ### Remove diacritics
`remove_diacritics` function
```
text_cleaned5= TextClean.remove_diacritics(text)
print(text_cleaned5)
```

 ### Remove stop words
`remove_stop_words` function
```
text_cleaned6 = TextClean.remove_stop_words(text)
print(text_cleaned6)
```

 ### Remove emojis
`remove_emojis` function
```
text_cleaned7 = TextClean.remove_emojis(text)
print(text_cleaned7)
```

 ### Remove mentions
`remove_mentions` function
```
text_cleaned8 = TextClean.remove_mentions(text)
print(text_cleaned8)
```

 ### Convert any hashtags to words
`hashtags_to_words` function
```
text_cleaned9 = TextClean.hashtags_to_words(text)
print(text_cleaned9)
```

 ### Remove hashtags
`remove_hashtags` function
```
text_cleaned10 = TextClean.remove_hashtags(text)
print(text_cleaned10)
```

 ### Remove emails
`remove_emails` function
```
text_cleaned11 = TextClean.remove_emails(text)
print(text_cleaned11)
```

 ### Remove URLs
`remove_URLs` function
```
text_cleaned12 = TextClean.remove_URLs(text)
print(text_cleaned12)
```


## Example
```python
from fathah import TextClean

cleaner = TextClean(text)
cleaner.remove_diacritics()

# Outputs: السلام عليكم ورحمة الله وبركاته
```


*This package is under development. Contributions are highly welcome*

[Github](https://github.com/fathah) | [IG](https://instagram.com/fatha_cr)