code: def zeros(
      shape: Union[ivy.Shape, ivy.NativeShape],
      *,
      dtype: Optional[Union[ivy.Dtype, ivy.NativeDtype]] = None,
      device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,
      out: Optional[ivy.Array] = None,
  ) -> ivy.Array:
      """Return a new array having a specified ``shape`` and filled with zeros.
  
      Parameters
      ----------
      shape
         output array shape.
      dtype
         output array data type. If ``dtype`` is ``None``, the output array data type must
         be the default floating-point data type. Default  ``None``.
      device
         device on which to place the created array. Default: ``None``.
      out
          optional output array, for writing the result to. It must have a shape that the
          inputs broadcast to.
  
      Returns
      -------
      ret
          an array containing zeros.
  
  
      This function conforms to the `Array API Standard
      <https://data-apis.org/array-api/latest/>`_. This docstring is an extension of the
      `docstring <https://data-apis.org/array-api/latest/
      API_specification/generated/array_api.zeros.html>`_
      in the standard.
  
      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.NativeShape` input:
      >>> shape = (3, 5)
      >>> x = ivy.zeros(shape)
      >>> print(x)
      ivy.array([[0., 0., 0., 0., 0.],
                 [0., 0., 0., 0., 0.],
                 [0., 0., 0., 0., 0.]])
  
      >>> x = ivy.zeros(5)
      >>> print(x)
      ivy.array([0., 0., 0., 0., 0.])
      """
      return current_backend().zeros(
          shape, dtype=dtype, device=device, out=out
      )
  
imports: from __future__ import annotations
  import functools
  from numbers import Number
  from typing import Union, Tuple, Optional, List, Sequence, Callable, Protocol, TypeVar, Iterable
  import numpy
  import ivy
  from ivy import to_ivy
  from ivy.utils.exceptions import handle_exceptions
  from ivy.utils.backend import current_backend
  from ivy.func_wrapper import handle_array_function, infer_dtype, handle_out_argument, outputs_to_ivy_arrays, inputs_to_native_arrays, inputs_to_native_shapes, to_native_arrays_and_back, handle_nestable, handle_array_like_without_promotion, handle_device, handle_backend_invalid, temp_asarray_wrapper
label_desc: Use image node_id 12 for calling a global function with example usage: zeros(shape) and returns: current_backend