code: def unzip_iterators(
      zipped_iterators: Iterator[Sequence[Any]], num_sub_iterators: int
  ) -> List[Iterator[Any]]:
      """Returns unzipped iterators.
  
      Note that simply returning:
        [(x[i] for x in iter_tuple[i]) for i in range(num_sub_iterators)]
      seems to cause all iterators to point to the final value of i, thus causing
      all sub_learners to consume data from this final iterator.
  
      Args:
        zipped_iterators: zipped iterators (e.g., from zip_iterators()).
        num_sub_iterators: the number of sub-iterators in the zipped iterator.
      """
      iter_tuple = itertools.tee(zipped_iterators, num_sub_iterators)
      return [
          map(operator.itemgetter(i), iter_tuple[i])
          for i in range(num_sub_iterators)
      ]
  
imports: import itertools
  import operator
  from typing import Any, Iterator, List, Sequence
label_desc: Use image node_id 1 for calling a global function with example usage: unzip_iterators(zipped_iterators, num_sub_iterators) and returns: unknown