code: def get_default_otmann_distance_computer(
      nn_type,
      non_assignment_penalty=1.0,
      mislabel_coeffs="default",
      struct_coeffs="default",
      dist_type="lp-emd",
  ):
      """The otmann distance with default parameters."""
      if mislabel_coeffs == "default":
          mislabel_coeffs = [1.0, 1.0, 1.0, 1.0]
      if struct_coeffs == "default":
          struct_coeffs = [0.1, 0.25, 0.61, 1.5]
      return get_otmann_distance_computer_from_args(
          nn_type,
          non_assignment_penalty,
          mislabel_coeffs,
          struct_coeffs,
          dist_type,
      )
  
imports: import numpy
  from .None import neural_network
  from ..gp.kernel import ExpSumOfDistsKernel, SumOfExpSumOfDistsKernel
  from ..utils.oper_utils import opt_transport
label_desc: Use image node_id 5 for calling a global function with example usage: get_default_otmann_distance_computer(nn_type, non_assignment_penalty, mislabel_coeffs, struct_coeffs, dist_type) and returns: get_otmann_distance_computer_from_args