code: def test_empty_categorical(self):
      ci = CategoricalIndex(["a", "b", "c"], ordered=True)
      dtype = ci.dtype
  
      # case with int8 codes
      shape = (4,)
      result = Categorical._empty(shape, dtype=dtype)
      assert isinstance(result, Categorical)
      assert result.shape == shape
      assert result._ndarray.dtype == np.int8
  
      # case where repr would segfault if we didn't override base implementation
      result = Categorical._empty((4096,), dtype=dtype)
      assert isinstance(result, Categorical)
      assert result.shape == (4096,)
      assert result._ndarray.dtype == np.int8
      repr(result)
  
      # case with int16 codes
      ci = CategoricalIndex(list(range(512)) * 4, ordered=False)
      dtype = ci.dtype
      result = Categorical._empty(shape, dtype=dtype)
      assert isinstance(result, Categorical)
      assert result.shape == shape
      assert result._ndarray.dtype == np.int16
  
file_path: pandas/pandas/tests/arrays/test_ndarray_backed.py
imports: import numpy
  from pandas import CategoricalIndex, date_range
  from pandas.core.arrays import Categorical, DatetimeArray, NumpyExtensionArray, TimedeltaArray
label_desc: Use image node_id 1 for calling the TestEmpty obj's underlying member method code with example usage: obj.test_empty_categorical() without return types