code: def make_squeeze_tests(options):
      """Make a set of tests to do squeeze."""
  
      test_parameters = [
          {
              "dtype": [tf.int32, tf.float32, tf.int64],
              "input_shape": [[1, 2, 1, 3, 1, 4, 1, 1]],
              "axis": [
                  None,
                  [],
                  [0, 2],
                  [4, 7],
                  [-1, 0, 2, 0, 7, -6],
                  [1],
                  [2, 3, 2],
                  [-1, -2, -4, -6, -8],
                  [0, 2, 4, 6, 7],
                  [7, 6, 4, 2, 0],
                  [6, 6],
                  [0, 1, 2, 3, 4, 5, 6, 7],
                  [-2, -3, 1, 0, 7, -5],
              ],
              "fully_quantize": [False],
          },
          {
              "dtype": [tf.int32, tf.float32, tf.int64],
              "input_shape": [[1]],
              "axis": [None, [], [0], [-1]],
              "fully_quantize": [False],
          },
          {
              "dtype": [tf.int32, tf.float32, tf.int64],
              "input_shape": [[1, 1, 1, 1, 1]],
              "axis": [None, [], [0], [3, 0], [-2, 0, 3, 2]],
              "fully_quantize": [False],
          },
          {
              "dtype": [tf.float32],
              "input_shape": [[1, 2, 1, 3, 1, 4, 1, 1]],
              "axis": [
                  None,
                  [],
                  [0, 2],
                  [4, 7],
                  [-1, 0, 2, 0, 7, -6],
                  [1],
                  [2, 3, 2],
                  [-1, -2, -4, -6, -8],
                  [0, 2, 4, 6, 7],
                  [7, 6, 4, 2, 0],
                  [6, 6],
                  [0, 1, 2, 3, 4, 5, 6, 7],
                  [-2, -3, 1, 0, 7, -5],
              ],
              "fully_quantize": [True],
          },
          {
              "dtype": [tf.float32],
              "input_shape": [[1, 1, 1, 1, 1]],
              "axis": [[0], [3, 0], [-2, 0, 3, 2]],
              "fully_quantize": [True],
          },
          {
              "dtype": [tf.float32],
              "input_shape": [[1, 1, 5, 10], [1, 5, 1, 10], [5, 1, 10]],
              "axis": [[0], [1], [3, 0], [-2, 0, 3, 2]],
              "fully_quantize": [True],
          },
          {
              "dtype": [tf.string],
              "input_shape": [[1, 1, 5, 10], [1, 5, 1, 10]],
              "axis": [[0], []],
              "fully_quantize": [False],
          },
      ]
  
      def build_graph(parameters):
          input_tensor = tf.compat.v1.placeholder(
              dtype=parameters["dtype"],
              name="input",
              shape=parameters["input_shape"],
          )
          out = tf.squeeze(input_tensor, axis=parameters["axis"])
          return [input_tensor], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_values = create_tensor_data(
              parameters["dtype"],
              parameters["input_shape"],
              min_value=-1,
              max_value=1,
          )
          return [input_values], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input_values]))
          )
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          expected_tf_failures=24,
      )
  
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 1 for calling a global function with example usage: make_squeeze_tests(options) and returns: list,  list, list,  sess