Skip to main content

Python implementation of Grouped Transforms

Project description

pyGroupedTransforms

Fast Grouped Transformations as introduced in Bartel, Potts, Schmischke, 2021 .

pyGroupedTransforms provides the following fast algorithms: nonequispaced fast transformation with exponential functions for grouped index sets based on the NFFT (non-equispaced fast Fourier transform) nonequispaced fast transformation with cosine functions for grouped index sets based on the NFCT (non-equispaced fast cosine transform)

Getting started

The pyGroupedTransforms package can be installed via pip:

pip install -i https://test.pypi.org/simple/ pyGroupedTransforms

Read the documentation for specific usage information.

Requirements

  • Python 3.8 or greater
  • pyNFFT3 0.2.2 or greater
  • NumPy 2.0.0 or greater
  • SciPy 1.16.0 or greater

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pygroupedtransforms-0.1.0.tar.gz (33.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pygroupedtransforms-0.1.0-py3-none-any.whl (33.9 kB view details)

Uploaded Python 3

File details

Details for the file pygroupedtransforms-0.1.0.tar.gz.

File metadata

  • Download URL: pygroupedtransforms-0.1.0.tar.gz
  • Upload date:
  • Size: 33.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygroupedtransforms-0.1.0.tar.gz
Algorithm Hash digest
SHA256 18dcab95805f160e5c51da3e988ea00fc41ce3443e699a99ac06521b941d082c
MD5 3a20b941c81d53b405b48fed5032da30
BLAKE2b-256 459a0974fa418f1156d3a56311876122b75ef6b65b873fa81c8eeb1065233af9

See more details on using hashes here.

Provenance

The following attestation bundles were made for pygroupedtransforms-0.1.0.tar.gz:

Publisher: release.yml on NFFT/pyGroupedTransforms

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pygroupedtransforms-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for pygroupedtransforms-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9ec41ce1cdd1949cbcae06b98fe648cc24c555d1be01137275e20b0883abf727
MD5 3c5596b61eba0fd6452a4cec685a1fce
BLAKE2b-256 91c1e36c37ce8d26d8a3857d77bae047d2e3775dd29793700bb7f732aebc780f

See more details on using hashes here.

Provenance

The following attestation bundles were made for pygroupedtransforms-0.1.0-py3-none-any.whl:

Publisher: release.yml on NFFT/pyGroupedTransforms

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page