code: def initIterate(container, generator):
      """Call the function *container* with an iterable as
      its only argument. The iterable must be returned by
      the method or the object *generator*.
  
      :param container: The type to put in the data from func.
      :param generator: A function returning an iterable (list, tuple, ...),
                        the content of this iterable will fill the container.
      :returns: An instance of the container filled with data from the
                generator.
  
      This helper function can be used in conjunction with a Toolbox
      to register a generator of filled containers, as individuals or
      population.
  
          >>> import random
          >>> from functools import partial
          >>> random.seed(42)
          >>> gen_idx = partial(random.sample, range(10), 10)
          >>> initIterate(list, gen_idx)      # doctest: +SKIP
          [1, 0, 4, 9, 6, 5, 8, 2, 3, 7]
  
      See the :ref:`permutation` and :ref:`arithmetic-expr` tutorials for
      more examples.
      """
      return container(generator())
  
label_desc: Use image node_id 2 for calling a global function with example usage: initIterate(container, generator) and returns: container