code: def ifht(A, dln, mu, offset=0.0, bias=0.0):
      """Compute the inverse fast Hankel transform.
  
      Computes the discrete inverse Hankel transform of a logarithmically spaced
      periodic sequence. This is the inverse operation to `fht`.
  
      Parameters
      ----------
      A : cupy.ndarray (..., n)
          Real periodic input array, uniformly logarithmically spaced.  For
          multidimensional input, the transform is performed over the last axis.
      dln : float
          Uniform logarithmic spacing of the input array.
      mu : float
          Order of the Hankel transform, any positive or negative real number.
      offset : float, optional
          Offset of the uniform logarithmic spacing of the output array.
      bias : float, optional
          Exponent of power law bias, any positive or negative real number.
  
      Returns
      -------
      a : cupy.ndarray (..., n)
          The transformed output array, which is real, periodic, uniformly
          logarithmically spaced, and of the same shape as the input array.
  
      See Also
      --------
      :func:`scipy.special.ifht`
      :func:`scipy.special.fhtoffset` : Return an optimal offset for `fht`.
  
      """
  
      # size of transform
      n = A.shape[-1]
  
      # bias input array
      if bias != 0:
          # A_q(k) = A(k) (k/k_c)^{q} (k_c r_c)^{q}
          j_c = (n - 1) / 2
          j = cupy.arange(n)
          A = A * cupy.exp(bias * ((j - j_c) * dln + offset))
  
      # compute FHT coefficients
      u = fhtcoeff(n, dln, mu, offset=offset, bias=bias)
  
      # transform
      a = _fhtq(A, u, inverse=True)
  
      # bias output array
      if bias != 0:
          # a(r) = a_q(r) (r/r_c)^{q}
          a /= cupy.exp(-bias * (j - j_c) * dln)
  
      return a
  
file_path: cupy/cupyx/scipy/fft/_fftlog.py
imports: import math
  from warnings import warn
  import cupy
  from cupyx.scipy.fft import _fft
  from cupyx.scipy.special import loggamma, poch
label_desc: Use image node_id 2 for calling a global function with example usage: ifht(A, dln, mu, offset, bias) and returns: a