code: def tests_value_counts_index_names_category_column():
      # GH44324 Missing name of index category column
      df = DataFrame(
          {
              "gender": ["female"],
              "country": ["US"],
          }
      )
      df["gender"] = df["gender"].astype("category")
      result = df.groupby("country")["gender"].value_counts()
  
      # Construct expected, very specific multiindex
      df_mi_expected = DataFrame(
          [["US", "female"]], columns=["country", "gender"]
      )
      df_mi_expected["gender"] = df_mi_expected["gender"].astype(
          "category"
      )
      mi_expected = MultiIndex.from_frame(df_mi_expected)
      expected = Series([1], index=mi_expected, name="count")
  
      tm.assert_series_equal(result, expected)
  
imports: import numpy
  import pytest
  import pandas.util._test_decorators
  from pandas import Categorical, CategoricalIndex, DataFrame, Grouper, Index, MultiIndex, Series, date_range, to_datetime
  import pandas._testing
  from pandas.util.version import Version
label_desc: Use image node_id 1 for calling a global function with example usage: tests_value_counts_index_names_category_column() without return types