code: def test_construct_vectorizeddf(
      scitype, mtype, fixture_index, iterate_cols, iterate_as
  ):
      """Test that VectorizedDF constructs with valid arguments.
  
      Fixtures parameterized
      ----------------------
      scitype : str - scitype of fixture
      mtype : str - mtype of fixture
      fixture_index : int - index of fixture tuple with that scitype and mtype
      iterate_cols : bool - whether to iterate over columns
      """
      if not _is_valid_iterate_as(scitype, iterate_as):
          return None
  
      # retrieve fixture for checking
      fixture = get_examples(mtype=mtype, as_scitype=scitype).get(
          fixture_index
      )
  
      # iterate as Series, without automated identification of scitype
      VectorizedDF(
          X=fixture,
          iterate_as=iterate_as,
          is_scitype=scitype,
          iterate_cols=iterate_cols,
      )
  
      # iterate as Series, with automated identification of scitype
      VectorizedDF(
          X=fixture,
          iterate_as=iterate_as,
          is_scitype=None,
          iterate_cols=iterate_cols,
      )
  
imports: import numpy
  import pandas
  import pytest
  from sktime.datatypes import MTYPE_REGISTER, SCITYPE_REGISTER
  from sktime.datatypes._check import AMBIGUOUS_MTYPES, check_is_mtype
  from sktime.datatypes._examples import get_examples
  from sktime.datatypes._vectorize import VectorizedDF, _enforce_index_freq
  from sktime.utils._testing.deep_equals import deep_equals
  from sktime.utils.pandas import df_map
  from sktime.utils.parallel import _get_parallel_test_fixtures
label_desc: Use image node_id 6 for calling a global function with example usage: test_construct_vectorizeddf(scitype, mtype, fixture_index, iterate_cols, iterate_as) and returns: None