code: def almostEqual(x, y, tol=1e-18, rel=1e-7):
      """
      Returns True if 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`.
  
      Parameters
      ----------
      a, b : array_like
          Input arrays to compare.
      rtol : float
          The relative tolerance parameter (see Notes).
      atol : float
          The absolute tolerance parameter (see Notes).
  
      Returns
      -------
      y : bool
          Returns True if the two arrays are equal within the given
          tolerance; False otherwise. If either array contains NaN, then
          False is returned.
  
      Notes
      -----
      If the following equation is element-wise True, then almostEqual returns
      True.
  
       absolute(`a` - `b`) <= (`atol` + `rtol` * absolute(`b`))
  
      Examples
      --------
      >>> almostEqual([1e10,1.2345678], [1e10,1.2345677])
      True
      >>> almostEqual([1e10,1.234], [1e10,1.235])
      False"""
      from numpy import allclose
  
      return allclose(x, y, rtol=rel, atol=tol)
  
label_desc: Use image node_id 3 for calling a global function with example usage: almostEqual(x, y, tol, rel) and returns: allclose