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1. Populated description and long_description fields to `setup`.
2. Added `install_requires = ['numpy', 'cython']` to `setup` call.
3. Updated `build/always_include_files` in `conda-recipe/meta.yaml` to include cached files, both for Python 3 and Python 2, to ensure that `conda remove mkl_fft` removes all the artifacts from the conda environment.
4. Updated `README.md` to states steps required to install `mkl_fft` using `pip`.
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@@ -51,4 +51,11 @@ It implements the following functions:
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... and similar `irfft*` functions.
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The package also provides `mkl_fft._numpy_fft` and `mkl_fft._scipy_fft` interfaces which provide drop-in replacements for equivalent functions in NumPy and SciPy respectively.
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The package also provides `mkl_fft._numpy_fft` and `mkl_fft._scipy_fft` interfaces which provide drop-in replacements for equivalent functions in NumPy and SciPy respectively.
description="MKL-based FFT transforms for NumPy arrays",
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long_description="""NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library. 1D and ND, complex and real transforms, in-place and not-in-place on single and double precision arrays""",
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