t.
    hfft : The 1-D FFT of Hermitian input.
    fft : The 1-D FFT, with definitions and conventions used.
    fftn : The N-D FFT.
    hfft2 : The 2-D FFT of Hermitian input.

    Notes
    -----
    The transform for real input is performed over the last transformation
    axis, as by `ihfft`, then the transform over the remaining axes is
    performed as by `ifftn`. The order of the output is the positive part of
    the Hermitian output signal, in the same format as `rfft`.

    Examples
    --------
    >>> import scipy.fft
    >>> import numpy as np
    >>> x = np.ones((2, 2, 2))
    >>> scipy.fft.ihfftn(x)
    array([[[1.+0.j,  0.+0.j], # may vary
            [0.+0.j,  0.+0.j]],
           [[0.+0.j,  0.+0.j],
            [0.+0.j,  0.+0.j]]])
    >>> scipy.fft.ihfftn(x, axes=(2, 0))
    array([[[1.+0.j,  0.+0.j], # may vary
            [1.+0.j,  0.+0.j]],
           [[0.+0.j,  0.+0.j],
            [0.+0.j,  0.+0.j]]])

    r