semvec/pypi-packages huggingface dataset:
ciuy 1.0.0
Python package for validating Uruguayan identity document numbers.
License: MIT
Requires Python: >=3.4
Keywords: Uruguay,dni,id,eid,validation,cédula,cédula uruguaya

# ciuy

���� ���� Documentación en español disponible [aquí](https://ciuy.readthedocs.io/es/latest/) / Spanish documentation is available [here](https://ciuy.readthedocs.io/es/latest/).

----

Package for validating Uruguayan identity document numbers. Full documentation is available [here](https://ciuy.readthedocs.io/es/latest/).

The functions in this package work with strings and ignore any non-digit characters. Numbers are valid too. So for example, the following expressions represent the same document number:

```
'1.234.567-2'
'12345672'
12345672
```

This package includes the following functions:

`validate_ci(ci: str) -> bool`: Returns true if `ci` is a valid document number, returns false otherwise. `ci` is a string which represents a document number, including the validation digit. `ci` can be a number as well.

`validation_digit(ci: str) -> str`: Returns the validation digit for `ci`.

`random() -> str`: Returns a random document number (including validation digit) in the (100.000, 9.999.999) range.

# Installation

```
$ pip install ciuy
```

# Usage

```
>>> import ciuy
>>> ciuy.validate_ci("1.234.567-2")
True
>>> ciuy.validation_digit("1.234.567")
'2'
>>> ciuy.random()
'82405816'
```

# Testing

This package includes some doctests, as well as unit tests that can be run with `pytest`.

After cloning the repository, you can run the doctests with:

```
$ python3 -m doctest ./ciuy/__init__.py -v
 (several lines ommited)
11 passed and 0 failed.
Test passed.
```

Use `py.test` to run the unit tests:

```
$ py.test
============================= test session starts ==============================
platform linux -- Python 3.8.1, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /home/ciuy
collected 98 items     

tests\test_clean.py ..........                                           [ 10%]
tests\test_command_line.py ........................                      [ 34%]
tests\test_random_ci.py ..                                               [ 36%]
tests\test_validate_ci.py .......................................        [ 76%]
tests\test_validation_digit.py .......................                   [100%]

============================== 98 passed in 1.09s =============================
```

You can also use `pytest` to run all tests, including doctests, with:

```
$ py.test --doctest-modules
```

# Command line

After installation, the following commands become available:

```
$ validate_ci 1.234.567-2
True
$ validation_digit 1.234.567
2
$ random_ci
82405816
```

---

Based on the ci_uy Ruby gem by Fernando Briano ([link](https://github.com/picandocodigo/ci_uy)).
outlier-priyank 1.0
Outlier
License: MIT

# Topsis Analysis

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install topsis-asharma-3027.

```bash
pip install topsis-asharma-3027
```

## Usage

Following query on terminal will provide you the topsis analysis for input csv file.

```
topsis-asharma-3027 -a "dataset-name" -b "w1,w2,w3,w4,..." -c "i1,i2,i3,i4,..."

```

Do not mention the file format, 'csv', as part of dataset-name.
w1,w2,w3,w4 represent weights, and i1,i2,i3,i4 represent impacts where 1 is used for maximize and 0 for minimize. 
Size of w and i is equal to number of features. 

Note that the first row and first column of dataset is dropped

The item attributed rank 1 is the best choice.

## License
[MIT](https://choosealicense.com/licenses/mit/)
torrent-grab 0.0.2.dev1
command line torrent scraper
License: MIT
Requires Python: >=3.6
Keywords: torrent browse,scraper,torrent

# Browse torrent from good-old shell(bye-bye crappy ads:grin:)
[![Build Status](https://travis-ci.org/aksl337/torrent_scraper.svg?branch=master)](ttps://travis-ci.org/aksl337/torrent_scraper)



## Installation by [Pip](http://pip.readthedocs.org/en/stable/installing/)
For Python 3

```bash
$  pip install torrent-grab
```

or just run script with python
but make sure you have module requirements satisfied.

```bash
$  pip -r requirements.txt
```

## Usage

```bash
$ torrent-grab
```