code: def idzp_aid(eps, A):
      """
      Compute ID of a complex matrix to a specified relative precision using
      random sampling.
  
      :param eps:
          Relative precision.
      :type eps: float
      :param A:
          Matrix.
      :type A: :class:`numpy.ndarray`
  
      :return:
          Rank of ID.
      :rtype: int
      :return:
          Column index array.
      :rtype: :class:`numpy.ndarray`
      :return:
          Interpolation coefficients.
      :rtype: :class:`numpy.ndarray`
      """
      A = np.asfortranarray(A)
      m, n = A.shape
      n2, w = idz_frmi(m)
      proj = np.empty(
          n * (2 * n2 + 1) + n2 + 1, dtype="complex128", order="F"
      )
      k, idx, proj = _id.idzp_aid(eps, A, w, proj)
      proj = proj[: k * (n - k)].reshape((k, n - k), order="F")
      return k, idx, proj
  
imports: import scipy.linalg._interpolative
  import numpy
label_desc: Use image node_id 43 for calling a global function with example usage: idzp_aid(eps, A) and returns: k,  idx,  proj