semvec/pypi-packages huggingface dataset:
cchecksum 0.4.1
An ~18x faster drop-in replacement for eth_utils.to_checksum_address. Raises the exact same Exceptions. Implemented in C.
License: MIT
Requires Python: <4,>=3.9

## CChecksum

[![PyPI](https://img.shields.io/pypi/v/cchecksum.svg?logo=Python&logoColor=white)](https://pypi.org/project/cchecksum/)
[![Monthly Downloads](https://img.shields.io/pypi/dm/cchecksum)](https://pypistats.org/packages/cchecksum)

CChecksum is an ~18x faster drop-in replacement for `eth_utils.to_checksum_address`, with the most cpu-intensive part implemented in C.

It keeps the exact same API as the existing implementation, exceptions and all.

Just `pip install cchecksum`, drop it in, and run your script with a substantial speed improvement.

![image](https://github.com/user-attachments/assets/b989108f-350d-45a1-93c0-c1eaa3d8b801)
reza-filter 0.2.5
Reza exponential-window frequency-domain filter (NumPy FFT + C++/pybind11 acceleration).
License: MIT
Requires Python: >=3.9
Keywords: signal-processing, filter, EEG, IMU, gait, biomechanics

# Reza Filter (C++-accelerated) — Python package

**Goal:** users do:

```python
import reza
y = reza.bandpass(x, fs=100.0, fc_low=0.5, fc_high=5.0)
```

## What is accelerated in C++
- Gain template generation (low/high/band)
- Auto-`d` selection via edge-sharpness convergence
- rFFT-domain complex multiply (X * gain)

FFT/iFFT uses NumPy.

## Install
```bash
pip install reza-filter
```

## Local dev install
```bash
python -m pip install -U pip
python -m pip install -e .
python -c "import reza; print('has_cpp=', reza.has_cpp()); print(reza.__version__)"
```

## Build wheels
Use GitHub Actions + cibuildwheel: see `.github/workflows/wheels.yml`.

## Publish to PyPI
```bash
python -m pip install -U build twine
python -m build
python -m twine upload dist/*
```