code: def test_dict_tuple(taxonomy_df):
      """
      Test output if a dictionary and a tuple/list
      are included in the `columns` parameter.
      """
  
      result = taxonomy_df.complete(
          {"Year": [2000, 1999, 2001, 2002, 2003, 2004]},
          ("Taxon", "Abundance"),
          sort=True,
      )
  
      expected = (
          taxonomy_df.set_index(["Year", "Taxon", "Abundance"])
          .assign(dummy=1)
          .unstack("Year")
          .droplevel(0, 1)
          .reindex(columns=range(1999, 2005))
          .stack(dropna=False)
          .reset_index()
          .iloc[:, :-1]
          .reindex(columns=["Year", "Taxon", "Abundance"])
          .sort_values(
              ["Year", "Taxon", "Abundance"], ignore_index=True
          )
      )
  
      assert_frame_equal(result, expected)
  
imports: from string import ascii_lowercase
  import numpy
  import pandas
  import pytest
  from hypothesis import given, settings
  from pandas.testing import assert_frame_equal
  from janitor.testing_utils.strategies import categoricaldf_strategy
label_desc: Use image node_id 31 for calling a global function with example usage: test_dict_tuple(taxonomy_df) without return types