code: def export_sequence_map_identity_1_sequence():  # type: () -> None
      body = onnx.helper.make_graph(
          [onnx.helper.make_node("Identity", ["in0"], ["out0"])],
          "seq_map_body",
          [
              onnx.helper.make_tensor_value_info(
                  "in0", onnx.TensorProto.FLOAT, ["N"]
              )
          ],
          [
              onnx.helper.make_tensor_value_info(
                  "out0", onnx.TensorProto.FLOAT, ["M"]
              )
          ],
      )
  
      node = onnx.helper.make_node(
          "SequenceMap", inputs=["x"], outputs=["y"], body=body
      )
  
      x = [
          np.random.uniform(0.0, 1.0, 10).astype(np.float32)
          for _ in range(3)
      ]
      y = x
      input_type_protos = [
          onnx.helper.make_sequence_type_proto(
              onnx.helper.make_tensor_type_proto(
                  onnx.TensorProto.FLOAT, ["N"]
              )
          ),
      ]
      output_type_protos = [
          onnx.helper.make_sequence_type_proto(
              onnx.helper.make_tensor_type_proto(
                  onnx.TensorProto.FLOAT, ["N"]
              )
          ),
      ]
      expect(
          node,
          inputs=[x],
          outputs=[y],
          input_type_protos=input_type_protos,
          output_type_protos=output_type_protos,
          name="test_sequence_map_identity_1_sequence",
      )
  
file_path: onnx/onnx/backend/test/case/node/sequence_map.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 SequenceMap obj's underlying member method code with example usage: obj.export_sequence_map_identity_1_sequence() without return types