code: def _generate_params(params, args):
      """Generate basis set parameters. The default values are used for the non-differentiable
      parameters and the user-defined values are used for the differentiable ones.
  
      Args:
          params (list(array[float])): default values of the basis set parameters
          args (list(array[float])): initial values of the differentiable basis set parameters
  
      Returns:
          list(array[float]): basis set parameters
      """
      basis_params = []
      c = 0
      for p in params:
          if p.requires_grad:
              basis_params.append(args[c])
              c += 1
          else:
              basis_params.append(p)
      return basis_params
  
imports: import itertools
  import numpy
  from scipy.special import factorial2
  import pennylane
label_desc: Use image node_id 4 for calling a global function with example usage: _generate_params(params, args) and returns: basis_params