transix 0.0.1

A lightweight toolkit for numerical transformations

transix

transix is a lightweight toolkit for numerical transformations.

It provides clean, reusable, and well-tested building blocks for working with numerical transforms, with an emphasis on clarity, correctness, and vectorized usage.

Installation

You can install this package using pip install transix

Example: Numerical Transform

import numpy as np
import transix

a = 1 + 0j
b = np.exp(-1j * 2*np.pi/3)
c = np.exp( 1j * 2*np.pi/3)

seq = transix.abc_to_seq(a, b, c)

a0, b0, c0 = seq.zero
a1, b1, c1 = seq.pos
a2, b2, c2 = seq.neg

The API works equally well with NumPy arrays (time-series or batch data).

Testing

All transforms are validated using physics- and identity-based tests.

pytest

Roadmap

Planned additions include:

• Clarke transforms
• Park transforms
• Inverse transforms
• Expanded documentation and examples

Contributing

Issues and pull requests are welcome.

If you find a bug, have a question, or want to add a transformation, please open an issue on GitHub.

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