code: def print_iteration_nonlinear(
      iteration, nfev, cost, cost_reduction, step_norm, optimality
  ):
      if cost_reduction is None:
          cost_reduction = " " * 15
      else:
          cost_reduction = "{0:^15.2e}".format(cost_reduction)
  
      if step_norm is None:
          step_norm = " " * 15
      else:
          step_norm = "{0:^15.2e}".format(step_norm)
  
      print(
          "{0:^15}{1:^15}{2:^15.4e}{3}{4}{5:^15.2e}".format(
              iteration,
              nfev,
              cost,
              cost_reduction,
              step_norm,
              optimality,
          )
      )
  
imports: from math import copysign
  import numpy
  from numpy.linalg import norm
  from scipy.linalg import cho_factor, cho_solve, LinAlgError
  from scipy.sparse import issparse
  from scipy.sparse.linalg import LinearOperator, aslinearoperator
label_desc: Use image node_id 15 for calling a global function with example usage: print_iteration_nonlinear(iteration, nfev, cost, cost_reduction, step_norm, optimality) without return types