human
Solve the following python programming problem given the following code:
def extract_matched_slices(ax, shape) : 
    "Determine the slice parameters to use, matched to the screen.

    :param ax: Axes object to query. It's extent and pixel size
               determine the slice parameters

    :param shape: Tuple of the full image shape to slice into. Upper
               boundaries for slices will be cropped to fit within
               this shape.

    :rtype: tulpe of x0, x1, sx, y0, y1, sy

    Indexing the full resolution array as array[y0:y1:sy, x0:x1:sx] returns
    a view well-matched to the axes' resolution and extent
    " 
    ext = (ax.transAxes.transform ([(1, 1)]) - ax.transAxes.transform ([(0, 0)])) [0] 
    (xlim, ylim) = (ax.get_xlim (), ax.get_ylim ()) 
    (dx, dy) = ((xlim [1] - xlim [0]), (ylim [1] - ylim [0])) 
    def _clip(val, hi) : 
        return int (max (min (val, hi), 0)) 
y0 = _clip ((min (ax) - 5), shape [0]) 
    y1 = _clip ((max (ylim) + 5), shape [0]) 
    x0 = _clip ((min (xlim) - 5), shape [1]) 
    x1 = _clip ((max (xlim) + 5), shape [1]) 
    sy = int (max (1, min (((y1 - y0) / 5.0), np.ceil (abs ((dy / ext [1])))))) 
    sx = int (max (1, min (((x1 - x0) / 5.0), np.ceil (abs ((dx / ext [0])))))) 
    return (x0, x1, sx, y0, y1, sy) 

    
    

    Fix the buggy line: y0 = _clip ((min (ax) - 5), shape [0])
assistant
#Here is Python code to determine the slice parameters to use, matched to the screen.

y0 = _clip ((min (ylim) - 5), shape [0])