Bug fixes

[oleksandr-pavlyk]

This PR fixes #9.

Also fixes an issue where 1D complex fft transforms of identical arrays, on in C-layout, the other in F-layout, would differ:

import numpy as np
import mkl_fft

d_ccont = np.random.randn(2, 3, 2)
assert d_ccont.flags['C'] and not d_ccont.flags['F']
d_fcont = np.asfortranarray(d_ccont)
assert d_fcont.flags['F'] and not d_fcont.flags['C']

assert np.allclose(d_ccont, d_fcont) # data as the same

f1 = mkl_fft.fft(d_ccont)
f2 = mkl_fft.fft(d_fcont)

assert np.allclose(f1, f2) # this used to trip

Added a test to check for this.

@anton-malakhov @tomashek