flt
Fast Legendre transform for NumPy and JAX
This is a minimal Python package for fast discrete Legendre transforms (DLTs). The implementation uses a recursive version of the matrix relations by Alpert & Rokhlin (1991) to compute the DLT via a discrete cosine transform (DCT).
The package can be installed using pip:
pip install flt
For more information, please see the documentation.
Current functionality covers the absolutely minimal use case. Please open an issue on GitHub if you would like to see anything added.
Array backends
The flt package supports generic array backends via single dispatch.
Currently available implementations are:
- NumPy+SciPy (install with
pip install flt[numpy]) - JAX (install with
pip install flt[jax])
Other implementations are easily added, even from third-party code, and will be
picked up by the flt methods automatically.
Example
The main functionality of the flt module in contained in the pair flt.dlt
and flt.idlt of discrete Legendre transforms:
>>> import jax
>>> import flt
>>> key = jax.random.key(42)
>>> x = jax.random.uniform(key, shape=(100,))
>>> a = flt.dlt(x)
>>> y = flt.idlt(a)
>>> jax.numpy.allclose(x, y)
Array(True, dtype=bool)
1 maintainer
Metadata
1 maintainer
Release files for flt 2026.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| flt-2026.1.tar.gz | 12.8 kB | With provenance | Details for flt-2026.1.tar.gz |
Built distributions (wheels)
Total release size: 8.8 MB
Release files / flt-2026.1.tar.gz
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| Download URL | flt-2026.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl |
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| Size | 461.4 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 Linux glibc 2.28+ x86-64 |
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| Download URL | flt-2026.1-cp39-cp39-macosx_11_0_arm64.whl |
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| Size | 80.9 kB |
| Tags | CPython 3.9 macOS 11.0+ ARM64 |
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| Download URL | flt-2026.1-cp39-cp39-macosx_10_9_x86_64.whl |
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| Size | 83.3 kB |
| Tags | CPython 3.9 macOS 10.9+ x86-64 |
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