semvec/pypi-packages huggingface dataset:
lift_make 0.1.2
Lift is a CMAKE/makefile replacement for C built with Python (Similar cli to zig build or Rust Cargo)
Requires Python: >=3.13


# <img src="https://media.discordapp.net/attachments/1072835012560420944/1072835013046964224/image.png" width="48"> lift
[![License: MPL 2.0](https://img.shields.io/badge/License-MPL_2.0-brightgreen.svg)](https://opensource.org/licenses/MPL-2.0)

Some intended features:

- Installable CLI via `uv` or `pip`
- Extensible via Python
- Zero configuration project init and sample build file


# CLI Commands

`lift init` - generates `lift_build.py` in the root folder with the default parameters

`lift build` - Generates the build in a debug mode

`lift build release/debug` - Generates the build in a spicified mode

`lift run` - Generates the build and runs the app in the debug mode

`lift run release/debug` - Generates the build in a spicified mode and runs the app

`lift test` - Runs unit tests

`lift clean` - Removes everything from build directory

`Not implemented` - `lift add raysan5/raylib` - Creates _deps directory in project root and pulls from github & Make the module 

# .lift.conf

`Not implemented` - User can overwrite default parameters used by `lift init` through creation of `.lift.conf` in one of the ENV paths.

# How to build & run

1. Install [uv](https://docs.astral.sh/uv/)

2. Run lift without installing by using the conveniece wrapper `uvx` like so:
  - `uvx --from lift-make lift <COMMAND> <OPTIONS>`
  - Example: from the `/sample` directory of this repo run `uvx --from lift-make lift run`.
    You should see `You cast a Gravity Well (2) spell!` in the terminal.

3. If you use it a lot, you can use uv to install the tool locally
  - `uv tool install lift-make`
  - Now you make run commands with just `lift build` etc
essential-building-blocks 1.0.2
A Python package of common functions, classes, and data structures.


**Essential Building Blocks**
================

A Public Python Package for Commonly Used Functions, Classes, and Data Structures
--------------------------------------------------------------------------------

**Overview**
------------

Building Blocks is a Python package designed to simplify the development of school assignments, side projects, and hackathon submissions. It provides a collection of commonly used functions, classes, data structures, and other boilerplate code to help you get started quickly.

**Installation**
------------

To install Building Blocks, run the following command:

```bash
pip install essential-building-blocks==1.0.1
```

**Contributing**
------------

We welcome contributions to Building Blocks! If you'd like to add your code to the package, please follow these steps:

1. Clone the repository: `git clone https://github.com/your-username/building-blocks.git`
2. Create a new module or add to an existing module.
3. Add your name and project to the contributors list in `README.md`.
4. Submit a pull request to the main repository.

**Contents**
------------

Building Blocks currently includes the following modules:

* `data_structures`: A collection of common data structures.
* `mathematics`: A collection of common mathematical functions and classes.

**Contributors**
------------

| Module                       | Contributor    | University / Organization / Company |
| ---------------------------- | -------------- | ----------------------------------- |
| data_structures, mathematics | Marion Forrest | University of North Florida         |

**License**
-------

Building Blocks is released under the [GNU GENERAL PUBLIC LICENSE](LICENSE.txt).

**Acknowledgments**
---------------

Thank you for checking out and/or contributing to this package!