code: def isclose(
      a: Union[ivy.Array, ivy.NativeArray],
      b: Union[ivy.Array, ivy.NativeArray],
      /,
      *,
      rtol: float = 1e-05,
      atol: float = 1e-08,
      equal_nan: bool = False,
      out: Optional[ivy.Array] = None,
  ) -> ivy.Array:
      """Return a boolean array where two arrays are element-wise equal within a
      tolerance.
  
      The tolerance values are positive, typically very small numbers.
      The relative difference (rtol * abs(b)) and the absolute difference
      atol are added together to compare against the absolute difference
      between a and b.
      The default atol is not appropriate for comparing numbers that are
      much smaller than one
  
      Parameters
      ----------
      a
          First input array.
      b
          Second input array.
      rtol
          The relative tolerance parameter.
      atol
          The absolute tolerance parameter.
      equal_nan
          Whether to compare NaN's as equal. If True, NaN's in a will be
          considered equal to NaN's in b in the output array.
      out
          Alternate output array in which to place the result.
          The default is None.
  
      Returns
      -------
      ret
          Returns a boolean array of where a and b are equal within the given
          tolerance. If both a and b are scalars, returns a single boolean value.
  
      Examples
      --------
      >>> ivy.isclose([1e10,1e-7], [1.00001e10,1e-8])
      ivy.array([True, False])
      >>> ivy.isclose([1.0, ivy.nan], [1.0, ivy.nan], equal_nan=True)
      ivy.array([True, True])
      >>> ivy.isclose([1e-100, 1e-7], [0.0, 0.0], atol=0.0)
      ivy.array([False, False])
      >>> ivy.isclose([1e-10, 1e-10], [1e-20, 0.999999e-10], rtol=0.005, atol=0.0)
      ivy.array([False, True])
      """
      return ivy.current_backend().isclose(
          a, b, rtol=rtol, atol=atol, equal_nan=equal_nan, out=out
      )
  
imports: from typing import Optional, Union, Tuple, List, Sequence
  from numbers import Number
  import ivy
  from ivy.func_wrapper import handle_out_argument, to_native_arrays_and_back, handle_nestable, handle_partial_mixed_function, handle_array_like_without_promotion, inputs_to_ivy_arrays, handle_array_function, infer_dtype, handle_device, handle_backend_invalid
  from ivy.utils.exceptions import handle_exceptions
label_desc: Use image node_id 10 for calling a global function with example usage: isclose() and returns: ivy