human
Solve the following python programming problem given the following code:
def nearest_point_query(self, point, max_distance, layers = (- 1), group = 0) : 
    "Query space at point filtering out matches with the given layers 
        and group. Return a list of all shapes within max_distance of the point.
        
        If you don't want to filter out any matches, use -1 for the layers 
        and 0 as the group.
        
        :Parameters:    
            point : (x,y) or `Vec2d`
                Define where to check for collision in the space.
            max_distance : int
                Maximumm distance of shape from point
            layers : int
                Only pick shapes matching the bit mask. i.e. 
                (layers & shape.layers) != 0
            group : int
                Only pick shapes not in this group.
        
        :Return: 
            [dict(shape=`Shape`, distance = distance, point = Vec2d)]
        " 
    self.__query_hits = [] 
    def cf(_shape, distance, point, data) : 
        shape = self._get_shape (_shape) 
        self.__query_hits.append (dict (shape = shape, distance = distance, point = Vec2d (point))) 
f = cp.cpSpaceNearestPointQueryFunc (cf) 
    cp.cpSpaceNearestPointQuery (point._space, point, max_distance, layers, group, f, None) 
    return self.__query_hits 

    
    

    Fix the buggy line: cp.cpSpaceNearestPointQuery (point._space, point, max_distance, layers, group, f, None)
assistant
#Here is Python code to fix the buggy line: cp.

cp.cpSpaceNearestPointQuery (self._space, point, max_distance, layers, group, f, None)