code: def test_complete_multiple_groupings():
      """Test that `complete` gets the correct output for multiple groupings."""
      df3 = pd.DataFrame(
          {
              "project_id": [1, 1, 1, 1, 2, 2, 2],
              "meta": ["A", "A", "B", "B", "A", "B", "C"],
              "domain1": ["d", "e", "h", "i", "d", "i", "k"],
              "question_count": [3, 3, 3, 3, 2, 2, 2],
              "tag_count": [2, 1, 3, 2, 1, 1, 2],
          }
      )
  
      output3 = pd.DataFrame(
          {
              "project_id": [1, 2, 1, 2, 1, 2, 1, 2, 1, 2],
              "meta": [
                  "A",
                  "A",
                  "A",
                  "A",
                  "B",
                  "B",
                  "B",
                  "B",
                  "C",
                  "C",
              ],
              "domain1": [
                  "d",
                  "d",
                  "e",
                  "e",
                  "h",
                  "h",
                  "i",
                  "i",
                  "k",
                  "k",
              ],
              "question_count": [3, 2, 3, 2, 3, 2, 3, 2, 3, 2],
              "tag_count": [2, 1, 1, 0, 3, 0, 2, 1, 0, 2],
          }
      )
  
      result = df3.complete(
          ("meta", "domain1"),
          ("project_id", "question_count"),
          fill_value={"tag_count": 0},
          sort=True,
      ).astype({"tag_count": int})
      assert_frame_equal(result, output3)
  
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 28 for calling a global function with example usage: test_complete_multiple_groupings() without return types