message: Add dtype specification to Windows test.
diff: @@ -51,7 +51,7 @@ class CategoricalEncodingInputTest(
  preprocessing_test_utils.PreprocessingLayerTest):
  def test_sparse_input(self):
  - input_array = np.array([[1, 2, 3, 0], [0, 3, 1, 0]])
  + input_array = np.array([[1, 2, 3, 0], [0, 3, 1, 0]], dtype=np.int64)
  sparse_tensor_data = sparse_ops.from_dense(input_array)
  # pyformat: disable
  @@ -102,9 +102,10 @@ class CategoricalEncodingAdaptTest(
  def test_sparse_adapt(self):
  vocab_data = sparse_ops.from_dense(
  - np.array([[1, 1, 0, 1, 1, 2, 2, 0, 2, 3, 3, 0, 4]]))
  + np.array([[1, 1, 0, 1, 1, 2, 2, 0, 2, 3, 3, 0, 4]], dtype=np.int64))
  vocab_dataset = dataset_ops.Dataset.from_tensors(vocab_data)
  - input_array = sparse_ops.from_dense(np.array([[1, 2, 3, 0], [0, 3, 1, 0]]))
  + input_array = sparse_ops.from_dense(
  + np.array([[1, 2, 3, 0], [0, 3, 1, 0]], dtype=np.int64))
  # pyformat: disable
  expected_output = [[0, 1, 1, 1, 0],
  