code: def export_center_crop_pad_crop() -> None:
      node = onnx.helper.make_node(
          "CenterCropPad",
          inputs=["x", "shape"],
          outputs=["y"],
      )
  
      # First dim is even diff, second is uneven
      x = np.random.randn(20, 10, 3).astype(np.float32)
      shape = np.array([10, 7, 3], dtype=np.int64)
      y = x[5:15, 1:8, :]
  
      expect(
          node,
          inputs=[x, shape],
          outputs=[y],
          name="test_center_crop_pad_crop",
      )
  
file_path: onnx/onnx/backend/test/case/node/center_crop_pad.py
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
label_desc: Use image node_id 1 for calling the CenterCropPad obj's underlying member method code with example usage: obj.export_center_crop_pad_crop() without return types