python-pyFFTW-0.10.4-bp150.2.4

- Replace future aims in description.

- Implement single-spec version
- Update to version 0.10.4
  + Fixed bugs:
  * Numpy interface can fail with non-writeable arrays.
  * undefined symbol: simd\_alignment with gcc 5.3.0
  * FTBFS: TypeError: can't pickle Cython.Compiler.FlowControl.NameAssignment objects
  + Closed issues:
  * pyfftw fails with ImportError/undefined symbol fftwl\_plan\_with\_nthreads
  * pyfftw does not appear to be using available wisdom files
  * Accuracy of non-power 2 data
  * Cannot find fftw3l when installing from pip
  * Incorrect links to docs
  * PyFFTW returning all zero array after transform...
  * Move to separate pyFFTW project page
  * Release GIL during planning?
  * Merging/sharing wisdom
  * scipy interface patching.
  * very slow test suite
  * setup: some targets should not require numpy to be installed
  * 2x margin on the planning timelimit test is inadequate in windows on Complex64

- update to version 0.10.1:
  * it seems that pypi has an annoying feature that minor tweaks can't
    be pushed without a new release.
- changes from version 0.10.0:
  * Closed issues:
    + Conda downloads are failing
    + Python 3.4 and WinPython
    + Installing pyfftw on Anaconda3 on Windows 7
    + is python 3.5 supported?
    + deadlock of cache handler at interpreter shutdown
    + pyFFTW breaks when forked
    + build with mingw
    + Striding in n\_byte\_align not on a uniform standard
    + No exception on wrong arguments of function call of
    pyfftw.FFTW\(...\)
    + pyfftw vs numpy.fft: faster and slower
    + simple transposes?
    + `Datatype not supported` with scipy
    + Update tutorial with new byte align functions
    + OS X Installation errors:
    + Wrong results for pyfftw's ifft?
    + Installing on OS X Mavericks
    + Install error. Ld cannot find -lfftw3f
    + new source release with updated licensing
    + Crash during initialization of FFTW plan for r2c and c2r with
    Intel compiler
    + Move FFTW class definition to pyfftw.pxd
    + Provide transform metadata such as axes and direction
    + Provide shape and dtype properties
    + problem with very large arrays: OverflowError: value too large
    to convert to int
    + add support for in-place multidimensional r2c transform
    + Add numpy interface for hfft
    + add cython as a build dependency
    + Potential memory leak in caching
    + Allow GIL to be released with threads=1
    + Building for 64bit windows
    + Test failure using numpy 1.6.2
    + Remove the requirement for users to specify alignment
    + pyfftw.interfaces can only handle numpy arrays
  * Merged pull requests:
    + Release GIL during both single- and multi-thread execution
    + Support FFTW\_WISDOM\_ONLY
    + Release GIL around FFTW planning
    + Updated the tutorial to reflect changes with new aligned array
    + Add description for installing on OS X
    + close issue \#8 (More numpy like aligned array creation)
    + Discrete sine transform imports

- cleanup package

- initial package