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* Add py3_pybind11 package * Add OpenImageIO package * FFTW 3.3.9 -> 3.3.10 * Add audaspace package * Add Embree package * Add ceres-solver package * Blender 4.0.2 -> 4.1.1
26 lines
1.2 KiB
Ruby
26 lines
1.2 KiB
Ruby
require 'buildsystems/autotools'
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class Fftw < Autotools
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description 'FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data, i.e. the discrete cosine/sine transforms or DCT/DST).'
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homepage 'https://www.fftw.org/'
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version '3.3.10'
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license 'GPL-2+'
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compatibility 'all'
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source_url "https://fftw.org/fftw-#{version}.tar.gz"
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source_sha256 '56c932549852cddcfafdab3820b0200c7742675be92179e59e6215b340e26467'
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binary_compression 'tar.zst'
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binary_sha256({
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aarch64: '104ed5989de12cd2edddc03978cd1cba48e503d50eba8f4de5e63d5e44c3ec92',
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armv7l: '104ed5989de12cd2edddc03978cd1cba48e503d50eba8f4de5e63d5e44c3ec92',
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i686: '8bb8ff951cf62a5f339b37cdadd21836ee6499a054eceb7c7acfa19f4789896d',
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x86_64: '3de2966c788cbd46d2c74cf010f781337651b5f7086d7b0b9c5117e131025819'
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})
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# We'd need to build fftw three times with each precision option in order to support things properly.
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# https://www.linuxfromscratch.org/blfs/view/cvs/general/fftw.html
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# https://github.com/FFTW/fftw3/pull/276
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configure_options '--enable-shared'
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run_tests
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end
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