code: def make_shape_to_strided_slice_tests(options):
      """Make a set of tests to do shape op into strided_slice."""
  
      test_parameters = [
          # Test dynamic shape into strided slice quantization works.
          {
              "dtype": [tf.float32],
              "dynamic_input_shape": [[None, 2, 2, 5]],
              "input_shape": [[12, 2, 2, 5]],
              "strides": [[1]],
              "begin": [[0]],
              "end": [[1]],
              "begin_mask": [0],
              "end_mask": [0],
              "fully_quantize": [False, True],
              "dynamic_range_quantize": [False],
          },
          {
              "dtype": [tf.float32],
              "dynamic_input_shape": [[None, 2, 2, 5]],
              "input_shape": [[12, 2, 2, 5]],
              "strides": [[1]],
              "begin": [[0]],
              "end": [[1]],
              "begin_mask": [0],
              "end_mask": [0],
              "fully_quantize": [False],
              "dynamic_range_quantize": [True],
          },
      ]
      _make_shape_to_strided_slice_test(
          options, test_parameters, expected_tf_failures=0
      )
  
imports: import tensorflow
  from tensorflow.lite.testing.zip_test_utils import create_tensor_data
  from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
  from tensorflow.lite.testing.zip_test_utils import register_make_test_function
label_desc: Use image node_id 2 for calling a global function with example usage: make_shape_to_strided_slice_tests(options) without return types