{"schema_version":1,"metadata":{"branch":"current","release":"7.9","architecture":"amd64","generated_at":"2026-09-09T04:04:41.004595+00:00","source_url":"https://cdn.openbsd.org/pub/OpenBSD/snapshots/packages/amd64/sqlports-7.55.tgz","source_sha256":"fcdbba1b9df747882aa9bab4af20ebec8dac10655069c90f1cd4145c06e1235e","package_count":12031,"source_kind":"sqlports"},"package":{"name":"p5-Math-FFT-1.36","path":"math/p5-Math-FFT","url":"/packages/current/math/p5-Math-FFT/","comment":"calculate Fast Fourier Transforms in perl","homepage":"https://metacpan.org/release/Math-FFT","maintainer":"The OpenBSD ports mailing-list <ports@openbsd.org>","description":"This module implements some algorithms for calculating Fast Fourier\nTransforms for one-dimensional data sets of size 2^n. The data,\nassumed to arise from a constant sampling rate, is represented by\nan array reference, which is then used to create a Math::FFT object.\n\nAvailable methods include complex and real discrete fourier transforms,\nconvolution, power spectra and windowing functions, as well as some\nstatistical utilities.\n","package_architecture":"amd64","stem":"p5-Math-FFT","readme":null,"dependencies":[],"reverse_dependencies":{"count":0,"url":null},"categories":["math","perl5"],"flavors":[],"only_for_architectures":[],"not_for_architectures":[]}}