code: def ifht(A, dln, mu, offset=0.0, bias=0.0):
      r"""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 : array_like (..., 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 : array_like (..., n)
          The transformed output array, which is real, periodic, uniformly
          logarithmically spaced, and of the same shape as the input array.
  
      See Also
      --------
      fht : Definition of the fast Hankel transform.
      fhtoffset : Return an optimal offset for `ifht`.
  
      Notes
      -----
      This function computes a discrete version of the Hankel transform
  
      .. math::
  
          a(r) = \int_{0}^{\infty} \! A(k) \, J_\mu(kr) \, r \, dk \;,
  
      where :math:`J_\mu` is the Bessel function of order :math:`\mu`.  The index
      :math:`\mu` may be any real number, positive or negative. Note that the
      numerical inverse Hankel transform uses an integrand of :math:`r \, dk`, while the
      mathematical inverse Hankel transform is commonly defined using :math:`k \, dk`.
  
      See `fht` for further details.
      """
      return (Dispatchable(A, np.ndarray),)
  
imports: from ._basic import _dispatch
  from scipy._lib.uarray import Dispatchable
  from ._fftlog_backend import fhtoffset
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: ifht(A, dln, mu, offset, bias) and returns: Dispatchable