code: def as_strided(
      x: Union[ivy.Array, ivy.NativeArray],
      shape: Union[ivy.Shape, ivy.NativeShape, Sequence[int]],
      strides: Sequence[int],
      /,
  ) -> ivy.Array:
      """Create a copy of the input array with the given shape and strides.
  
      Parameters
      ----------
      x
          Input Array.
      shape
          The shape of the new array.
      strides
          The strides of the new array (specified in bytes).
  
      Returns
      -------
      ret
          Output Array
  
      Examples
      --------
      >>> x = ivy.array([1, 2, 3, 4, 5, 6])
      >>> ivy.as_strided(x, (4, 3), (8, 8))
      ivy.array([[1, 2, 3],
         [2, 3, 4],
         [3, 4, 5],
         [4, 5, 6]])
      """
      itemsize = x.itemsize
      if not _check_bounds(x.shape, shape, strides, itemsize):
          raise ivy.exceptions.IvyException(
              "attempted unsafe memory access"
          )
      if any(strides[i] % itemsize != 0 for i in range(len(strides))):
          raise ivy.exceptions.IvyException(
              "strides must be multiple of itemsize"
          )
  
      src = memoryview(ivy.to_numpy(x)).cast("b")
  
      src_ind = ivy.inner(
          ivy.indices(shape).reshape((len(shape), -1)).T,
          ivy.array(strides),
      )
      src_ind = ivy.expand_dims(src_ind, axis=-1)
      src_ind = src_ind + ivy.arange(itemsize)
      src_ind = ivy.reshape(src_ind, (-1,)).to_numpy()
  
      temp_list = [src[i] for i in src_ind]
      temp_array = ivy.asarray(temp_list, dtype=ivy.int8)
      result = bytearray(temp_array.to_numpy())
  
      return ivy.reshape(
          ivy.frombuffer(result, dtype=x.dtype, count=math.prod(shape)),
          shape,
      )
  
imports: from typing import Optional, Union, Tuple, Iterable, Sequence, Callable, Any, Literal, List
  from numbers import Number
  from functools import partial
  import math
  import ivy
  from ivy.func_wrapper import handle_out_argument, handle_partial_mixed_function, to_native_arrays_and_back, inputs_to_native_shapes, handle_nestable, handle_array_like_without_promotion, handle_view, inputs_to_ivy_arrays, handle_array_function, handle_device, handle_backend_invalid
  from ivy.functional.ivy.general import _numel
  from ivy.utils.backend import current_backend
  from ivy.utils.exceptions import handle_exceptions
label_desc: Use image node_id 39 for calling a global function with example usage: as_strided() and returns: ivy