code: def _run(self, x, dtype=None, seed=None):  # type: ignore
      if dtype is None:
          dtype = np_dtype_to_tensor_dtype(x.dtype)
      dtype = self._dtype(x, dtype=dtype, dtype_first=True)
      state = self._get_state(seed)
      res = state.binomial(1, p=x).astype(dtype)
      return (res.astype(dtype),)
  
imports: from onnx.helper import np_dtype_to_tensor_dtype
  from onnx.reference.ops._op_common_random import _CommonRandom
label_desc: Use image node_id 1 for calling the Bernoulli obj's underlying member method code with example usage: obj._run(x, dtype, seed) and returns: res