semvec/pypi-packages huggingface dataset:
wiki-filler 1.0.1
A filler for wikipedia templates
Keywords: Wikipedia,Template,Automatic

# WikiFiller
## Description
A tool to help generate and fill templates of Wikipedia with ease. It does all the stuff behind the scenes so you don't have to. It works mainly through selenium and requests. 

## Usage
```
usage: WikiFiller [-h] [-c | -d] [-n NAME] [-o OUTPUT]

optional arguments:
  -h, --help            show this help message and exit
  -c, --chembox         Generates chembox
  -d, --drugbox         Generates drugbox
  -n NAME, --name NAME  Enter pubchem compound name from pubchem url
  -o OUTPUT, --output OUTPUT
                        Enter output filename
```

## Example
1. Generate and fill chembox template of Ascorbic acid taken from (https://pubchem.ncbi.nlm.nih.gov/compound/Ascorbic-acid). The output is automatically copied to system clipboard
* ```WikiFiller -c -n 'Ascorbic-acid'```
2. Generate and fill drugbox template of Salvinorin A taken from (https://pubchem.ncbi.nlm.nih.gov/compound/Salvinorin-A) and generates output.
* ```WikiFiller -d -n 'Salvinorin-A' -o SalvinorinDraft```

## Limitations
1. Might fetch wrong data or sometimes no data. Wrong data being rare while no data being common
professionals 0.0.4
Data structures and functions to work with professional data.
Requires Python: >=3.6

# Professional Software Development Kit

![build](https://github.com/professional-app/lib_sdk/actions/workflows/python-package.yml/badge.svg)

Data structures and functions to work with professional data.
Built for use with [professional.app](https://professional.app) and associated APIs.
Using this SDK, you will be able to reflect professional.app API queries directly into usable data structures. You'll also be able to build data analytics pipelines with [esam](https://github.com/eons-dev/bin_esam).

Built with and [eons](https://github.com/eons-dev/lib_eons) using the [eons build system](https://github.com/eons-dev/bin_ebbs)

## Installation
`pip install professionals`

## Usage

Check out the [esam docs](https://github.com/eons-dev/bin_esam) on how to do data analysis with [eons](https://github.com/eons-dev/lib_eons).

More examples coming soon.
nhd-downloader 0.2.2
Doujinshi downloader for nhentai domains
Requires Python: >=3.9,<4.0

Example usage:

```py
>>> from nhd_downloader.downloader import Downloader
>>> Downloader("list.txt", "downloaded_doujinshis")
```

Also, you can use the `nhd_script`:

```py
from nhd_downloader import nhd_script
nhd_script('list.txt', 'downloaded_doujinshis)
``` 

It is also possible to use `nhd_script` as a script. Just add the file path your `PATH` environmental variable
best-choice 0.0.1
Algorithm for best choice
Requires Python: >=3.6

# best-choice
## 1 - pip Install
```
pip install best-choice
```
## 2 - all function
```
#library
from bestchoice import Generate

#data
#object,price,importance level
table = [['pants',75,10],
         ['jeans',50,7],
         ['shirt',45,8],
         ['dress',65,7],
         ['ball',25,5]]

#call function generate
gen = Generate(table)

#all possibilities
for x in gen.list_all():
  print(x)

#call function to generate calculation results
#parameters 1 and 2 are columns for calculation
#in this case, the price and importance level
calc = gen.list_results([1,2])

#all calculated results
for x in calc:f
  print(x)

#new table after filter
#the first parameter 1 and 2 are index columns
#the second parameter 1 <= 200 filter your new table  
new = gen.list_best([1,2],[[1,'<=',200]])

#all filtered results
for x in new:
  print(x)
```

## 3 - example to find best choice
```
#library
from bestchoice import Generate

#data
#object,price,importance level
table = [['pants',75,10],
         ['jeans',50,7],
         ['shirt',45,8],
         ['dress',65,7],
         ['ball',25,5]]

#column for calculation
#in this case, the price and importance level
columns = [1,2]

#index of column importance
importance = 2

#filters where 1 is the price <= 200 dollars
filters = [[1,'<=',200]]

#call function generate
gen = Generate(table)

#get all possibilities
lista = gen.list_all()

#new table after filter
#the first parameter 1 and 2 are index columns
#the second parameter 1 <= price filter your new table 
res = gen.list_best(columns,filters)

#saves the best filtered result
top = max([sublist[-1] for sublist in res])

filters.append([importance,'==',top])
#table with new result
new = gen.list_best(columns,filters)

#set index of top values
best = [x[0] for x in new][0]

#result
print(f'This is your best choice: {", ".join([str(x[0]) for x in lista[best]])}')

```
console-widgets 0.0.603
A Python package for displaying terminal based widgets.
Requires Python: >=3.6

# console-widgets

A Python package for displaying terminal based widgets.

![image](https://img.shields.io/github/languages/top/bornagojsic/console-widgets) ![image](https://img.shields.io/pypi/v/console-widgets) ![image](https://img.shields.io/pypi/l/console-widgets) 
<!--- ![image](https://img.shields.io/pypi/dd/console-widgets) --->

-   Github repo: <https://github.com/bornagojsic/console-widgets>
-   Free software: MIT license
-   Documentation: <https://console-widgets.readthedocs.io>.


Installation
------------

Download the package using pip:

    pip install console-widgets


Usage
-----

To use console-widgets in a project:

    import console_widgets
aiomonetaclient 0.0.7
Aio cleint for moneta merchant api
Requires Python: >=3.8.2

# Aio Moneta client

This client for moneta merchant api https://www.moneta.ru/doc/MONETA.MerchantAPI.v2.ru.pdf


## Instalation

```shell
pip install aiomonetaclient
```


## Usage

```python
import asyncio
from aiomonetacleint import Client


if __name__ == '__main__':
    moneta_client = Client(
        username='<moneta username>',
        password='<moneta password>'
    )
    loop = asyncio.get_event_loop()
    profiles = loop.run_until_complete(
        # request FindProfileRequest
        moneta_client.find_profile_info(
            '<phone without +>'
        )
    )
    # print first profile attributes
    print(profiles.Envelope.Body.FindProfileInfoResponse.to_json(indent=4))
```