code: def split(
      x: Union[ivy.Array, ivy.NativeArray],
      /,
      *,
      copy: Optional[bool] = None,
      num_or_size_splits: Optional[
          Union[int, Sequence[int], ivy.Array, ivy.NativeArray]
      ] = None,
      axis: int = 0,
      with_remainder: bool = False,
  ) -> List[ivy.Array]:
      """Split an array into multiple sub-arrays.
  
      Parameters
      ----------
      x
          array to be divided into sub-arrays.
      copy
          boolean indicating whether or not to copy the input array.
          If True, the function must always copy.
          If False, the function must never copy.
          In case copy is False we avoid copying by returning a view of the input array.
      num_or_size_splits
          Number of equal arrays to divide the array into along the given axis if an
          integer. The size of each split element if a sequence of integers or 1-D array.
          Default is to divide into as many 1-dimensional arrays as the axis dimension.
      axis
          The axis along which to split, default is ``0``.
      with_remainder
          If the tensor does not split evenly, then store the last remainder entry.
          Default is ``False``.
  
      Returns
      -------
      ret
          A list of sub-arrays.
  
      Both the description and the type hints above assumes an array input for simplicity,
      but this function is *nestable*, and therefore also accepts :class:`ivy.Container`
      instances in place of any of the arguments.
  
      Examples
      --------
      With :class:`ivy.Array` input:
  
      >>> x = ivy.array([1, 2, 3])
      >>> y = ivy.split(x)
      >>> print(y)
      [ivy.array([1]),ivy.array([2]),ivy.array([3])]
  
      >>> x = ivy.array([[3, 2, 1], [4, 5, 6]])
      >>> y = ivy.split(x, num_or_size_splits=2, axis=1, with_remainder=True)
      >>> print(y)
      [ivy.array([[3,2],[4,5]]),ivy.array([[1],[6]])]
  
      >>> x = ivy.array([4, 6, 5, 3])
      >>> y = x.split(num_or_size_splits=[1, 3], axis=0, with_remainder=False)
      >>> print(y)
      ivy.array([[4], [6, 5, 3]])
  
      With :class:`ivy.Container` input:
  
      >>> x = ivy.Container(a=ivy.array([10, 45, 2]))
      >>> y = ivy.split(x)
      >>> print(y)
      {
          a:(list[3],<classivy.array.Array>shape=[1])
      }
      """
      return current_backend(x).split(
          x,
          copy=copy,
          num_or_size_splits=num_or_size_splits,
          axis=axis,
          with_remainder=with_remainder,
      )
  
imports: from typing import Union, Optional, Tuple, List, Iterable, Sequence
  from numbers import Number
  from numpy.core.numeric import normalize_axis_tuple
  import ivy
  from ivy.utils.backend import current_backend
  from ivy.func_wrapper import handle_array_function, to_native_arrays_and_back, handle_out_argument, handle_nestable, handle_array_like_without_promotion, handle_view, handle_device, handle_backend_invalid
  from ivy.utils.exceptions import handle_exceptions
label_desc: Use image node_id 13 for calling a global function with example usage: split() and returns: current_backend