semvec/pypi-packages huggingface dataset:
compile-minifier 0.2.2
Python compiler and minifier
License: MIT
Requires Python: <3.14,>=3.5

# Compile-minifier

Compile-minifier is a tool to minify and compile a structure code python.

## Package version

0.2.1

## Requirements

Python 3.5 to 3.13

## Installation & Usage

### pip install

You can install using:

```sh
pip install compile-minifier
```

Or you can install directly from sources :

```sh
pip install git+https://github.com/bimdata/compile-minifier.git#master
```

### Get started

The package is used exclusively on the command line:

```sh
compile-minify run
```

This command minify the code with [python-minifier](https://pypi.org/project/python-minifier/) and compile all .py in .pyc recursively.

By default, no python file modifications are executed in the root folder.


### Deployment

For manual deployment, you can run the following command :

```sh
poetry publish --build --username=__token__ --password=
```

### Help

Command line interfaces are generated with [Fire](https://github.com/google/python-fire)

For display help:

```sh
compile-minify --help
```
hamming-sim-pytorch 0.1.2.2
A PyTorch extension for hamming similarity optimized for CPU usage.
License: MIT
Requires Python: <4.0,>=3.9

# hamming-sim-pytorch

`hamming-sim-pytorch` is a library that provides hamming similarity implementation
optimized for CPUs using PyTorch.

The binary wheel currently supports Intel Haswell CPUs and PyTorch 1.13. Use the
source distribution to build a binary wheel for different architectures.

## Installation

```
pip install hamming-sim-pytorch
```

## Usage

[`examples/time_hamming_sim.py`](examples/time_hamming_sim.py) contains a practical
example using the library.

## License

`hamming-sim-pytorch` is open-sourced software licensed under the MIT license.