code: def test_cropping_3d_with_same_cropping(
      self, cropping, data_format, expected
  ):
      if data_format == "channels_first":
          inputs = np.random.rand(3, 5, 7, 9, 13)
          expected_output = ops.convert_to_tensor(
              inputs[
                  :,
                  :,
                  expected[0][0] : expected[0][1],
                  expected[1][0] : expected[1][1],
                  expected[2][0] : expected[2][1],
              ]
          )
      else:
          inputs = np.random.rand(3, 7, 9, 13, 5)
          expected_output = ops.convert_to_tensor(
              inputs[
                  :,
                  expected[0][0] : expected[0][1],
                  expected[1][0] : expected[1][1],
                  expected[2][0] : expected[2][1],
                  :,
              ]
          )
  
      self.run_layer_test(
          layers.Cropping3D,
          init_kwargs={
              "cropping": cropping,
              "data_format": data_format,
          },
          input_data=inputs,
          expected_output=expected_output,
      )
  
file_path: keras/keras/layers/reshaping/cropping3d_test.py
imports: import numpy
  import pytest
  from absl.testing import parameterized
  from keras import backend
  from keras import layers
  from keras import ops
  from keras import testing
label_desc: Use image node_id 2 for calling the Cropping3DTest obj's underlying member method code with example usage: obj.test_cropping_3d_with_same_cropping(cropping, data_format, expected) without return types