code: def promote_types_of_jax_inputs(
      x1: Union[ivy.Array, Number, Iterable[Number]],
      x2: Union[ivy.Array, Number, Iterable[Number]],
      /,
  ) -> Tuple[ivy.Array, ivy.Array]:
      """Promote the dtype of the given native array inputs to a common dtype
      based on type promotion rules.
  
      While passing float or integer values or any other non-array input
      to this function, it should be noted that the return will be an
      array-like object. Therefore, outputs from this function should be
      used as inputs only for those functions that expect an array-like or
      tensor-like objects, otherwise it might give unexpected results.
      """
      type1 = ivy.default_dtype(item=x1).strip("u123456789")
      type2 = ivy.default_dtype(item=x2).strip("u123456789")
      if (
          hasattr(x1, "dtype")
          and not hasattr(x2, "dtype")
          and type1 == type2
      ):
          x2 = ivy.asarray(
              x2,
              dtype=x1.dtype,
              device=ivy.default_device(item=x1, as_native=False),
          )
      elif (
          not hasattr(x1, "dtype")
          and hasattr(x2, "dtype")
          and type1 == type2
      ):
          x1 = ivy.asarray(
              x1,
              dtype=x2.dtype,
              device=ivy.default_device(item=x2, as_native=False),
          )
      else:
          x1 = ivy.asarray(x1)
          x2 = ivy.asarray(x2)
          x1_type, x2_type = x1.dtype, x2.dtype
          if x1_type != x2_type:
              x1_type = _handle_x64_promotion(x1_type)
              x2_type = _handle_x64_promotion(x2_type)
              promoted = _handle_x64_promotion(
                  promote_types_jax(x1_type, x2_type)
              )
              x1 = ivy.asarray(x1, dtype=promoted)
              x2 = ivy.asarray(x2, dtype=promoted)
      return x1, x2
  
imports: from numbers import Number
  from typing import Union, Tuple, Iterable
  import ivy
  from ivy.utils.exceptions import handle_exceptions
  import ivy.functional.frontends.jax
  from .None import fft
  from .None import linalg
  from .None import creation
  from .creation import *
  from .dtype import *
  from .scalars import *
  from .None import indexing
  from .indexing import *
  from .None import logic
  from .logic import *
  from .None import manipulations
  from .manipulations import *
  from .None import mathematical_functions
  from .mathematical_functions import *
  from .None import statistical
  from .statistical import *
  from .None import searching_sorting
  from .searching_sorting import *
label_desc: Use image node_id 3 for calling a global function with example usage: promote_types_of_jax_inputs() and returns: x1,  x2