semvec/pypi-packages huggingface dataset:
colores 0.1.2
A Wrapper for Colorama
License: MIT
Requires Python: >=3.7,<4.0
Keywords: utilities,utils,aesthetic,colors

# Colores

A simplifier of the [Colorama](https://github.com/tartley/colorama) API,
and some extra functions.

## Description

Colors was originally born in [Chuy](https://github.com/UltiRequiem/chuy).
But little by little, as I created more terminal applications
I realized that in all of them I had some helper methods related to colorama,
so I decided to separate it to a new package.

## Usage

Is very simple to use this package:

```python
from colores import colorized_print, colorized_input, CYAN, MAGENTA, YELLOW

colorized_print(colorized_input("Enter a text:"), CYAN)
```

All the functions are defined in [colores/core.py](https://github.com/UltiRequiem/colores/blob/master/colores/core.py)
and are well documented.

### License

This project is licensed under the [MIT License](./LICENSE.md)
WinToaster 0.1.0
Effortlessly create toast notifications for windows 10.
License: MIT
Requires Python: >=3.6.0


# [WinToaster](https://wintoaster.readthedocs.io)

> Effortlessly create toast notifications for windows 10.
*View [the documentation](https://wintoaster.readthedocs.io)*

[![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](https://forthebadge.com)
[![forthebadge](https://forthebadge.com/images/badges/open-source.svg)](https://forthebadge.com)

***

WinToaster is a minimal, yet powerful library for creating toast notifications
on Windows 10. Originally branched from
[Windows-10-Toast-Notifications](https://github.com/jithurjacob/Windows-10-Toast-Notifications),
WinToaster allows a higher level of customization, including custom sound files
and tooltips. This open source library is licensed under MIT: all contributions
are welcome.

## Getting Started

WinToaster is officially on PyPi, so you can just install it using pip:

1.  Make sure pip is installed
2.  Open command line and run `pip install WinToaster`
3.  Open up your project and import using
    ```python
    import win_toaster
    ```

## Docs

The official documentation is at https://wintoaster.readthedocs.io.

## Contributing

Anyone can contribute. Although the code primarily deals with Windows 10,
fixing typos, adding documentation, and improving code style can be done from
any device. Before you contribute, make sure you have both Git and Python3
installed. If you have any trouble with the steps below, be sure to check out
[GitHub's wonderful forking tutorial](https://docs.github.com/en/enterprise-server@2.20/github/getting-started-with-github/fork-a-repo).
Follow the steps below to contribute:

1.  Fork the [repository](https://github.com/MaliciousFiles/WinToaster/) to your
    personal GitHub account.
2.  Clone your repository to your computer using
    `git clone YOUR_REPOSITORY_LINK`
3.  Add the original repository as the upstream, like so:
    `git remote add upstream https://github.com/MaliciousFiles/WinToaster.git`
4.  Enter the `WinToaster` directory. Install the development version of
    WinToaster with `pip install -e .`
5.  Make any changes, and push them to your repository.
6.  Open a pull request on GitHub.

### Contributors

-   Original code from
    [Charnelx/Windows-10-Toast-Notifications](https://github.com/Charnelx/Windows-10-Toast-Notifications)
    and
    [jithurjacob/Windows-10-Toast-Notifications](https://github.com/jithurjacob/Windows-10-Toast-Notifications)
-   [MaliciousFiles](https://github.com/MaliciousFiles) - *Malcolm Roalson* -
    Extended the code, and created WinToaster
-   [mrmaxguns](https://github.com/mrmaxguns) - *Maxim Rebguns* - Code quality,
    CI, documentation

## Versioning

WinToaster uses [SemVer](https://semver.org/) for versioning.

## License

WinToaster may be freely distributed with the rules of the MIT license. See
[LICENSE](LICENSE) for details.
algo-crawler 0.0.2
Crawl algorithm problems from any website
License: MIT
Requires Python: >=3.8

# Algo Crawler

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)

## Usage

* Install Package

    ```sh
    pip install algo_crawler
    ```

* Crawl Solution

    ```sh
    python3 -m algo_crawler -s BJ -u koosaga
    # {'user_id': 'koosaga', 'problem_codes': ['1000', '1001' ...]
    ```

* Crawl Problem

    ```sh
    python3 -m algo_crawler -s BJ -p 1000
    # {'code': 'LC_1', 'level': '1', 'link': 'https://leetcode.com/problems/two-sum', 'title': 'Two Sum'}
    ```

## Developer Setting

* Developer setting

    ```sh
    pip install -r requirements.txt
    pre-commit install
    ```

* Test

    ```sh
    python3 -m algo_crawler.test
    ```