code: def _softplus_jax_like(
      x: Union[ivy.Array, ivy.NativeArray],
      /,
      *,
      fn_original=None,
      beta: Optional[Union[int, float]] = None,
      threshold: Optional[Union[int, float]] = None,
      out: Optional[ivy.Array] = None,
  ):
      if beta is not None:
          x_beta = ivy.multiply(x, ivy.array(beta, dtype=x.dtype))
      else:
          x_beta = x
      amax = ivy.relu(x_beta)
      res = ivy.subtract(
          x_beta, ivy.multiply(amax, ivy.array(2, dtype=x.dtype))
      )
      res = ivy.add(amax, ivy.log(ivy.add(1, ivy.exp(res))))
      res = ivy.real(res) + _wrap_between(ivy.imag(res), ivy.pi).astype(
          x.dtype
      ) * ivy.astype(1j, x.dtype)
      if beta is not None:
          res = ivy.divide(res, ivy.array(beta, dtype=x.dtype))
      if threshold is not None:
          res = ivy.where(
              ivy.real(x_beta) < threshold,
              res,
              x,
          ).astype(x.dtype)
      return res
  
imports: from typing import Union, Optional, Callable, Literal
  import ivy
  from ivy.utils.backend import current_backend
  from ivy.func_wrapper import handle_array_function, handle_out_argument, to_native_arrays_and_back, handle_nestable, handle_array_like_without_promotion, handle_device, handle_complex_input, handle_backend_invalid
  from ivy.utils.exceptions import handle_exceptions
label_desc: Use image node_id 11 for calling a global function with example usage: _softplus_jax_like() and returns: res