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Diff for: conda-recipe-cf/meta.yaml

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@@ -43,4 +43,4 @@ about:
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home: http://github.com/IntelPython/mkl_fft
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license: BSD-3-Clause
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license_file: LICENSE.txt
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summary: NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library
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summary: NumPy-based implementation of Fast Fourier Transform using Intel® oneAPI Math Kernel Library (OneMKL)

Diff for: conda-recipe/meta.yaml

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@@ -43,4 +43,4 @@ about:
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home: http://github.com/IntelPython/mkl_fft
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license: BSD-3-Clause
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license_file: LICENSE.txt
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summary: NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library
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summary: NumPy-based implementation of Fast Fourier Transform using Intel® oneAPI Math Kernel Library (OneMKL)

Diff for: setup.py

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#!/usr/bin/env python
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# Copyright (c) 2017-2025, Intel Corporation
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#
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# Redistribution and use in source and binary forms, with or without
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from os.path import join
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import Cython.Build
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import numpy as np
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import numpy
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from setuptools import Extension, setup
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sys.path.insert(0, os.path.dirname(__file__)) # Ensures local imports work
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join("mkl_fft", "src", "mklfft.h"),
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join("mkl_fft", "src", "multi_iter.h"),
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],
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include_dirs=[join("mkl_fft", "src"), np.get_include()]
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include_dirs=[join("mkl_fft", "src"), numpy.get_include()]
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+ mkl_include_dirs,
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libraries=mkl_libraries,
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library_dirs=mkl_library_dirs,

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