code: def dwithin(a, b, distance, **kwargs):
      """
      Returns True if the geometries are within a given distance.
  
      Using this function is more efficient than computing the distance and
      comparing the result.
  
      Parameters
      ----------
      a, b : Geometry or array_like
      distance : float
          Negative distances always return False.
      **kwargs
          See :ref:`NumPy ufunc docs <ufuncs.kwargs>` for other keyword arguments.
  
      See also
      --------
      distance : compute the actual distance between A and B
      prepare : improve performance by preparing ``a`` (the first argument)
  
      Examples
      --------
      >>> from shapely import Point
      >>> point = Point(0.5, 0.5)
      >>> dwithin(point, Point(2, 0.5), 2)
      True
      >>> dwithin(point, Point(2, 0.5), [2, 1.5, 1]).tolist()
      [True, True, False]
      >>> dwithin(point, Point(0.5, 0.5), 0)
      True
      >>> dwithin(point, None, 100)
      False
      """
      return lib.dwithin(a, b, distance, **kwargs)
  
imports: import warnings
  import numpy
  from shapely import lib
  from shapely.decorators import multithreading_enabled, requires_geos
label_desc: Use image node_id 27 for calling a global function with example usage: dwithin(a, b, distance) and returns: lib