semvec/pypi-packages huggingface dataset:
darshan-mongodb-automation 0.0.41
A python package for connecting to mongodb
License: MIT
Requires Python: >=3.7

## requirements_dev.txt -> we use for the testing
It makes it easier to install and manage dependencies for development and testing, separate from the dependencies required for production.

---

## difference between requirements_dev.txt and requirements.txt

requirements.txt is used to specify the dependencies required to run the production code of a Python project.

requirements_dev.txt is used to specify the dependencies required for development and testing purposes.

---

## tox.ini
We use if for the testing in the python package testing against different version of the python 

---

## how tox enviornment creation
1. Install depedencies and packages 
2. Run commands
3. Its a combination of the (virtualenvwrapper and makefile)
4. It creates a .tox

---

## pyproject.toml
it is being used for configuration the python project it is a alternative of the setup.cfg file. its containts configuration related to the build system
such as the build tool used package name version author license and dependencies

---

## setup.cfg
In summary, setup.cfg is used by setuptools to configure the packaging and installation of a Python projec

---

## Testing python application
*types of testing*
1. Automated testing 
2. Manual testing

*Mode of testing*
1. Unit testing
2. Integration tests

*Testing frameworks*

1. pytest
2. unittest
3. robotframework
4. selenium
5. behave
6. doctest

---

## Check with the code style formatting and syntax(coding standard)

1. pylint
2. flake8(it is best because it containt 3 library pylint pycodestyle mccabe)
3. pycodestyle

---
codesweep 0.0.2
Streamline Code Maintenance: Instant Clean-Up and Rule Enforcement, Zero Configuration Required.
License: MIT
Requires Python: <4.0,>=3.8

# CodeSweep: Simplify Your Code Maintenance


**Documentation**: <a href="https://joehaddad2000.github.io/codesweep/" target="_blank">https://joehaddad2000.github.io/codesweep/</a>

**Source Code**: <a href="https://github.com/joehaddad2000/codesweep" target="_blank">https://github.com/joehaddad2000/codesweep</a>

---

CodeSweep is a streamlined CLI tool designed to simplify the process of maintaining a clean and type-safe codebase. It serves as an intuitive wrapper around popular libraries, providing a user-friendly interface for both beginners and those looking to avoid the complexity of direct library configuration. 

With CodeSweep, users can effortlessly perform linting, formatting and type checking, leveraging the robust capabilities of underlying tools without the need for extensive setup. Ideal for developers seeking a straightforward solution to code maintenance, CodeSweep offers an out-of-the-box approach to ensuring code quality.

## Features
- **Easy Linting and Type Checking:** Quickly lint and type check your code with minimal setup.
- **User-Friendly CLI:** A simple and intuitive command-line interface that makes code maintenance a breeze.
- **Out-of-the-Box Configuration:** Avoid the hassle of configuring multiple libraries by leveraging CodeSweep's default settings.

## Dependencies

CodeSweep leverages several outstanding open-source tools to provide its functionality. We extend our deepest gratitude to the developers and contributors of these projects:

- **[Ruff](https://docs.astral.sh/ruff/)**: For the lightning-fast linting and formatting capabilities. Its performance and ease of integration are unparalleled, making it an essential component of our tool.

- **[Mypy](https://mypy.readthedocs.io/en/stable/)**: For the robust static type checking. Mypy's ability to catch subtle type inconsistencies before runtime has been invaluable in ensuring the reliability and type safety of countless codebases.

We encourage our users to explore these tools and consider supporting their ongoing development.

## Installation
To install CodeSweep, run the following command:
```
pip install codesweep
```

## Usage
To perform a full sweep of your codebase, simply run:
```
cs sweep
```

For more detailed commands and options, use:
```
cs --help
```

## Contributing
Contributions are welcome! If you have suggestions for improvements or want to contribute to the roadmap, please feel free to open an issue or submit a pull request.

## License
CodeSweep is released under the MIT License. See the [LICENSE](LICENSE) file for more details.
sigmoidalvision 0.1.0
SigmoidalVision is a Python package for computer vision and machine learning tasks. It is currently under development and aims to provide a set of tools and utilities for working with image and video data.
License: MIT
Requires Python: <4.0,>=3.10
Keywords: computer-vision, machine-learning, sigmoidal, vision, ai

# SigmoidalVision

SigmoidalVision is a Python package for computer vision and machine learning tasks. It is currently under development and aims to provide a set of tools and utilities for working with image and video data.

## Features

- Download media assets from a catalog
- Verify the integrity of downloaded files using MD5 hash

## Installation

The package is not yet available on PyPI. To install the development version, you can clone the repository and install it using Poetry:

```bash
git clone https://github.com/carlosfab/sigmoidalvision.git
cd sigmoidalvision
poetry install
```

## Usage

Here's an example of how to download a media asset using SigmoidalVision:

```python
from sigmoidalvision.assets import download_media_asset, MediaAsset
download_media_asset(MediaAsset.AIRPORT)
# File santos_dumont_airport.mp4 downloaded successfully.
```