code: def test_pivot_table_index_dtype():
      df = pd.DataFrame(
          {
              "A": pd.date_range(
                  start="2019-08-01", periods=3, freq="1D"
              ),
              "B": pd.Categorical(list("abc")),
              "C": [1, 2, 3],
          }
      )
      ddf = dd.from_pandas(df, 2)
      res = dd.pivot_table(
          ddf, index="A", columns="B", values="C", aggfunc="count"
      )
  
      assert res.index.dtype == np.dtype("datetime64[ns]")
  
imports: from __future__ import annotations
  import contextlib
  import warnings
  import numpy
  import pandas
  import pytest
  from packaging.version import parse
  import dask.dataframe
  from dask.dataframe._compat import PANDAS_VERSION, tm
  from dask.dataframe.reshape import _get_dummies_dtype_default
  from dask.dataframe.utils import assert_eq, make_meta
label_desc: Use image node_id 14 for calling a global function with example usage: test_pivot_table_index_dtype() without return types