parameters: (x, shape=None, axes=None, overwrite_x=False)
return_statement: return _raw_fftn_dispatch(x, shape, axes, overwrite_x, -1)
docstring: Return inverse multi-dimensional discrete Fourier transform.
  
      The sequence can be of an arbitrary type.
  
      The returned array contains::
  
        y[j_1,..,j_d] = 1/p * sum[k_1=0..n_1-1, ..., k_d=0..n_d-1]
           x[k_1,..,k_d] * prod[i=1..d] exp(sqrt(-1)*2*pi/n_i * j_i * k_i)
  
      where ``d = len(x.shape)``, ``n = x.shape``, and ``p = prod[i=1..d] n_i``.
  
      For description of parameters see `fftn`.
  
      See Also
      --------
      fftn : for detailed information.
  
      Examples
      --------
      >>> from scipy.fftpack import fftn, ifftn
      >>> import numpy as np
      >>> y = (-np.arange(16), 8 - np.arange(16), np.arange(16))
      >>> np.allclose(y, ifftn(fftn(y)))
      True
docstring_summary: Return inverse multi-dimensional discrete Fourier transform.
docstring_tokens: Return inverse multi - dimensional discrete Fourier transform .
function: def ifftn(x, shape=None, axes=None, overwrite_x=False):
      """
      Return inverse multi-dimensional discrete Fourier transform.
  
      The sequence can be of an arbitrary type.
  
      The returned array contains::
  
        y[j_1,..,j_d] = 1/p * sum[k_1=0..n_1-1, ..., k_d=0..n_d-1]
           x[k_1,..,k_d] * prod[i=1..d] exp(sqrt(-1)*2*pi/n_i * j_i * k_i)
  
      where ``d = len(x.shape)``, ``n = x.shape``, and ``p = prod[i=1..d] n_i``.
  
      For description of parameters see `fftn`.
  
      See Also
      --------
      fftn : for detailed information.
  
      Examples
      --------
      >>> from scipy.fftpack import fftn, ifftn
      >>> import numpy as np
      >>> y = (-np.arange(16), 8 - np.arange(16), np.arange(16))
      >>> np.allclose(y, ifftn(fftn(y)))
      True
  
      """
      return _raw_fftn_dispatch(x, shape, axes, overwrite_x, -1)
function_tokens: def ifftn ( x , shape = None , axes = None , overwrite_x = False ) : return _raw_fftn_dispatch ( x , shape , axes , overwrite_x , - 1 )