b978cdd4b5
ANFFT is an FFT package for Python, based on FFTW. It provides a multi-threaded, self-tuning FFT interface via high-level functions similar to the "fft" and "fftn" routines found in NumPy and SciPy. ANFFT is intended to be used in situations where large numbers of expensive FFTs are required, for which the built-in NumPy or SciPy FFTs are not acceptable. By default, ANFFT provides immediate results by using FFTW's "estimate" mode, which does not require tuning. However, each high-level function provides a keyword named "measure" which will invoke the full FFTW planning machinery. Plans for a given shape and type of array are cached for the length of a Python session, and accummulated FFTW "wisdom" is stored across Python sessions in a dotfile. You don't need to know anything about FFTW internals to use ANFFT.
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236 B
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5 lines
236 B
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$NetBSD: distinfo,v 1.1.1.1 2011/10/28 17:53:44 jihbed Exp $
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SHA1 (anfft-0.1.tar.gz) = 03a294e2506f56109ed0f475e1f46a86e100fadf
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RMD160 (anfft-0.1.tar.gz) = e82643361b845001fee0c2e0eba7e3d902b30098
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Size (anfft-0.1.tar.gz) = 20443 bytes
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