code: def export_bool_inputs() -> None:
      axes = np.array([1], dtype=np.int64)
      keepdims = 1
  
      node = onnx.helper.make_node(
          "ReduceMin",
          inputs=["data", "axes"],
          outputs=["reduced"],
          keepdims=keepdims,
      )
  
      data = np.array(
          [[True, True], [True, False], [False, True], [False, False]],
      )
      reduced = np.minimum.reduce(
          data, axis=tuple(axes), keepdims=bool(keepdims)
      )
      # print(reduced)
      # [[ True],
      #  [False],
      #  [False],
      #  [False]]
  
      expect(
          node,
          inputs=[data, axes],
          outputs=[reduced],
          name="test_reduce_min_bool_inputs",
      )
  
file_path: onnx/onnx/backend/test/case/node/reducemin.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 5 for calling the ReduceMin obj's underlying member method code with example usage: obj.export_bool_inputs() without return types