code: def clip(
      x: JaxArray,
      /,
      x_min: Optional[Union[Number, JaxArray]] = None,
      x_max: Optional[Union[Number, JaxArray]] = None,
      *,
      out: Optional[JaxArray] = None,
  ) -> JaxArray:
      if x_min is None and x_max is None:
          raise ValueError(
              "At least one of the x_min or x_max must be provided"
          )
      promoted_type = x.dtype
      if x_min is not None:
          if not hasattr(x_min, "dtype"):
              x_min = ivy.array(x_min).data
          promoted_type = ivy.as_native_dtype(
              ivy.promote_types(x.dtype, x_min.dtype)
          )
          x = jnp.where(
              x < x_min,
              x_min.astype(promoted_type),
              x.astype(promoted_type),
          )
      if x_max is not None:
          if not hasattr(x_max, "dtype"):
              x_max = ivy.array(x_max).data
          promoted_type = ivy.as_native_dtype(
              ivy.promote_types(promoted_type, x_max.dtype)
          )
          x = jnp.where(
              x > x_max,
              x_max.astype(promoted_type),
              x.astype(promoted_type),
          )
      return x
  
imports: import math
  from numbers import Number
  from typing import Union, Tuple, Optional, List, Sequence, Iterable
  import jax.numpy
  import numpy
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.backends.jax import JaxArray
  from .None import backend_version
label_desc: Use image node_id 13 for calling a global function with example usage: clip(x_min, x_max) and returns: x