semvec/pypi-packages huggingface dataset:
vintager 0.1.3
A Python package for applying vintage effects to images.
Requires Python: >=3.6

# Vintager
Lightweight Python library to convert photos to a vintage style.
| Original                                                                                                    | Vintage Sepia                                                                                                         |
|-------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|
| ![](https://raw.githubusercontent.com/Fran-98/vintager/refs/heads/main/assets/original.jpg)                 | ![](https://raw.githubusercontent.com/Fran-98/vintager/refs/heads/main/assets/sepia.jpg)                                                                                        |
| Black and white high contrast                                                                               | Film                                                                                                          |
| ![](https://raw.githubusercontent.com/Fran-98/vintager/refs/heads/main/assets/black_and_white_contrast.jpg) | ![](https://raw.githubusercontent.com/Fran-98/vintager/refs/heads/main/assets/all.jpg)                                                                                          |


## Installation

Just use:

```bash
pip install vintager
```

To install locally this package, you can run:

```bash
git clone https://github.com/Fran-98/vintager
pip install .
```

## Use

```python
from vintager.vintager import convert

im = convert(<image_path>, 
        <image_output_path>, 
        black_and_white=False, 
        high_contrast_black_and_white=False, 
        apply_sepia=False, 
        apply_vintage=True, 
        apply_grain=True, 
        noise_level=100
        )
```

Or from cli using `vintager <image_path> <image_output_path>` (use --help for optional parameters)
hagent 0.0.1
hagent framework library

# Hagent

> 

[![Latest Version on PyPI](https://img.shields.io/pypi/v/hagent.svg)](https://pypi.python.org/pypi/hagent/)
[![Supported Implementations](https://img.shields.io/pypi/pyversions/hagent.svg)](https://pypi.python.org/pypi/hagent/)
![Build Status](https://github.com/jbheeman/hagent/actions/workflows/test.yaml/badge.svg)
[![Documentation Status](https://readthedocs.org/projects/hagent/badge/?version=latest)](https://hagent.readthedocs.io/en/latest/?badge=latest)
[![Coverage Status](https://coveralls.io/repos/github/jbheeman/hagent/badge.svg?branch=master)](https://coveralls.io/github/jbheeman/hagent?branch=master)
[![Built with PyPi Template](https://img.shields.io/badge/PyPi_Template-v0.8.0-blue.svg)](https://github.com/christophevg/pypi-template)



## Documentation

Visit [Read the Docs](https://hagent.readthedocs.org) for the full documentation, including overviews and several examples.
extools 0.13.47
Tools for Orchid Extender
Keywords: sage orchid extender

##################
Tools for Extender
##################

-------------------------------------------------
A library of utilities for working with Extender.
-------------------------------------------------

.. image:: https://readthedocs.org/projects/extools/badge/?version=latest
    :target: https://extools.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

The ``extools`` package provides a number of functions and classes
to make it easier to write clear, concise, Python code in 
scripts and modules for Python Extender.  

``extools`` is an `open source`_ project maintained by `2665093 Ontario Inc`_.
Everyone is invited to `file a bug`_, `review the source`_,
or `contribute`_.

.. _open source: https://bitbucket.org/cbinckly/extools/src/master/LICENSE.txt
.. _2665093 Ontario Inc: https://2665093.ca
.. _contribute: https://bitbucket.org/cbinckly/extools/src/master/CONTRIBUTING.txt
.. _file a bug: https://bitbucket.org/cbinckly/extools/issues/new
.. _review the source: https://bitbucket.org/cbinckly/extools/

The `API documentation`_ is available on readthedocs.io.

.. _API documentation: https://extools.readthedocs.io

Installation
************

To be available from Extender scripts, the ``extools`` package must be
installed in the embedded Extender Python environment.  This is not 
trivial.  

The use of the `Python Package Manager for Orchid Extender`_ is recommended.

.. _Python Package Manager for Orchid Extender: https://2665093.ca/

Included Functions and Classes
******************************

Full api documentation for the package is available on readthedocs.io.

License
*******

The ``extools`` package is distributed under the GNU GPL version 3 copyleft
license.  You must read the license in full before modifying, redistributing,
or using the code in a derivative work.  In short:

    | You may copy, distribute and modify the software as long as you track 
      changes/dates in source files. Any modifications to or software including
      (via compiler) GPL-licensed code must also be made available under the 
      GPL along with build & install instructions.[1]_

.. [1] from https://tldrlegal.com/license/gnu-general-public-license-v3-(gpl-3)
catcoder-cli 0.1.1
A CLI for the Cloudflight Coding Contest
Requires Python: >=3.13

# catcoder-cli

This is a Python package that provides the `ccc` CLI tool to interact with the Catcoder platform for the [Cloudflight Coding Contest](https://register.codingcontest.org/).

## Installation

```
pip install catcoder-cli
```

## Usage

1. Use `ccc setup` to set up your credentials for CatCoder:

```
ccc setup <contest_id> <session_cookie> <xsrf_token>
```

where:

- `contest_id` is the ID of the contest you are participating in (can be found in the URL when you access the contest from CatCoder),
- `session_cookie` is the value of the `SESSION` cookie in your browser (can be found using the developer tools),
- `xsrf_token` is the value of the `XSRF-TOKEN` cookie in your browser (can be found using the developer tools) – could be empty, sometimes it's not enabled.

2. Use `ccc gen` to start working on a new level of the current contest.

   This will detect the current level you are working on, create a new directory containing the input files and a Python solution template, and open the problem statement in your browser.

3. Implement your solution and run it to produce the `.out` files.

4. Use `ccc submit` to submit your solutions to CatCoder.

   You will get immediate feedback on whether or not your submissions are accepted.

   You will also be able to upload your code if you want to.