semvec/pypi-packages huggingface dataset:
dszoro 0.0.9
A small example package
Requires Python: >=3.6

# dszoro

![dszoro logo](./logo.png)

dszoro is a comprehensive Python package that provides a wide range of algorithms and data structures to help you master the art of Data Structures and Algorithms (DSA). Whether you are a beginner exploring the fundamentals or an experienced developer aiming to optimize your code, dszoro has got you covered!

## Features

- **Data Structures:** dszoro offers a rich collection of data structures such as arrays, linked lists, stacks, queues, trees, heaps, graphs, and more. Each data structure is implemented with efficiency and ease of use in mind, allowing you to focus on solving problems rather than worrying about implementation details.

- **Algorithms:** Unlock the power of algorithms with dszoro. The package includes a variety of classic algorithms, including sorting algorithms (e.g., bubble sort, insertion sort, quicksort), searching algorithms (e.g., linear search, binary search), graph algorithms (e.g., breadth-first search, depth-first search), and much more. Whether you need to solve a specific problem or want to explore different algorithmic approaches, dszoro has the algorithms you need.

- **Visualization:** Visualizing data structures and algorithms can greatly enhance your understanding. dszoro provides intuitive visualization capabilities that enable you to see the inner workings of various data structures and algorithms. Dive deep into the process, step by step, and gain valuable insights into how things work under the hood.

- **Code Snippets and Examples:** The dszoro package comes with a plethora of code snippets and examples to help you grasp DSA concepts quickly. Each data structure and algorithm is accompanied by detailed explanations and code samples, allowing you to get started right away.

## Installation

To install dszoro, simply use pip:

```shell
pip install dszoro
```

## Usage

Here's a quick example demonstrating how to use dszoro:

```python
import dszoro

def_print_apx_tsp()

For more detailed usage examples and documentation, please refer to the [dszoro documentation](https://dszoro-docs.com).

## Contributing

Contributions are welcome and appreciated! If you would like to contribute to dszoro, please follow the guidelines outlined in [CONTRIBUTING.md](./CONTRIBUTING.md).

## License

This project is licensed under the [MIT License](./LICENSE).

## Acknowledgements

We would like to express our gratitude to the following individuals and projects for their contributions to dszoro:

- [Name 1](https://github.com/name1)
- [Name 2](https://github.com/name2)

## Contact

If you have any questions, suggestions, or feedback, please don't hesitate to reach out to us. You can contact us at [contact@dszoro.com](mailto:contact@dszoro.com) or visit our website [dszoro.com](https://dszoro.com).

Happy coding with dszoro!
image-processing-dp 0.0.2
Pacote para processar imagens usando Skimage
Requires Python: >=3.5

# image_processing_dp

Description. 
The package image_processing_dp is used to:
	Processing:
		- Histogram matching
		- Structural similarity
		- Resize image

	Utils:
		- Read image
		- Save image
		- Plot image
		- Plot result
		- Plot histogram

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install image_processing_dp

```bash
pip install image_processing_dp
```

## Author
Danillo de Souza Pereira

## License
[MIT](https://choosealicense.com/licenses/mit/)
iterum 0.2.0
Rusty iterators in Python.
Requires Python: >=3.11

# iterum

<div align="center">
<img src="https://raw.githubusercontent.com/tjsmart/iterum/main/docs/assets/logo.png" alt="Iterum logo" width="500" role="img">
</div>


[![PyPI - Version](https://img.shields.io/pypi/v/iterum.svg)](https://pypi.org/project/iterum)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/iterum.svg)](https://pypi.org/project/iterum)
[![Hatch project](https://img.shields.io/badge/%F0%9F%A5%9A-Hatch-4051b5.svg)](https://github.com/pypa/hatch)


[![linting - Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
[![code style - Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![types - Pyright](https://microsoft.github.io/pyright/img/pyright_badge.svg)](https://microsoft.github.io/pyright/)
[![License - MIT](https://img.shields.io/badge/license-MIT-9400d3.svg)](https://spdx.org/licenses/)

-----

Rusty iterators in Python.

## Installation

```console
pip install iterum
```

## Documentation

The [documentation](https://tjsmart.github.io/iterum) is made with [Material for MkDocs](https://github.com/squidfunk/mkdocs-material) and is hosted by [GitHub Pages](https://docs.github.com/en/pages).


## Example

```python
from iterum import iterum, Some, nil

itr = iterum([1, 2])
assert itr.next() == Some(1)
assert itr.next() == Some(2)
assert itr.next() == nil

itr = iterum([1, 2, 3, 4])
assert itr.fold(0, lambda acc, x: acc + x) == 10

x = range(5)
y = (
    iterum(x)
    .map(lambda x: x**2 + 1)
    .filter(lambda x: x % 2)
    .collect()
)
assert y == [1, 5, 17]
```

## License

`iterum` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
ptgscroller 0.1.0
PTG Scroller reads scroll files with the .scrl extension and displays the contents in a PyTermGUI session
Requires Python: >=3.10,<4.0

# PTGScroller
## Terminal User Interface eReader

PTGScroller reads scroll files with the ".scrl" extension and displays the contents in the terminal using PyTermGUI

## Installation

TODO this section

## Usage
### Examples
#### ScrollLibrary Widget

```py
from scroller.widgets import ScrollLibrary
import pytermgui as ptg

with ptg.WindowManager() as manager:
    library = ScrollLibrary(manager)
    exit = ptg.Button("X", lambda *_: window.close())
    window = ptg.Window(exit, library).set_title(library.library_name)

    manager.add(window)
```

Import the Library class from scroller to build a library instance from a directory. Pass the WindowManager to the ScrollLibrary class
to build the library window. This example can be found in scripts/scrolllibrary_example.py.

#### Scrollmake

Scrollmake is a command-line tool to make scroll files. You can point the script at a directory with a content xml and image media to create the scroll file.
Please see the module for usage information.