human
Solve the following python programming problem given the following code:
@ for_each_factor_dtype 
def test_rank_descending(self, name, factor_dtype) : 
    f = F (dtype = self) 
    data = array ([[0, 1, 2, 3, 0], [1, 2, 3, 0, 1], [2, 3, 0, 1, 2], [3, 0, 1, 2, 3], [0, 1, 2, 3, 0]], dtype = factor_dtype) 
    expected_ranks = { 
        'ordinal' : array ([[4.0, 3.0, 2.0, 1.0, 5.0], [3.0, 2.0, 1.0, 5.0, 4.0], [2.0, 1.0, 5.0, 4.0, 3.0], [1.0, 5.0, 4.0, 3.0, 2.0], [4.0, 3.0, 2.0, 1.0, 5.0]]), 
        'average' : array ([[4.5, 3.0, 2.0, 1.0, 4.5], [3.5, 2.0, 1.0, 5.0, 3.5], [2.5, 1.0, 5.0, 4.0, 2.5], [1.5, 5.0, 4.0, 3.0, 1.5], [4.5, 3.0, 2.0, 1.0, 4.5]]), 
        'min' : array ([[4.0, 3.0, 2.0, 1.0, 4.0], [3.0, 2.0, 1.0, 5.0, 3.0], [2.0, 1.0, 5.0, 4.0, 2.0], [1.0, 5.0, 4.0, 3.0, 1.0], [4.0, 3.0, 2.0, 1.0, 4.0]]), 
        'max' : array ([[5.0, 3.0, 2.0, 1.0, 5.0], [4.0, 2.0, 1.0, 5.0, 4.0], [3.0, 1.0, 5.0, 4.0, 3.0], [2.0, 5.0, 4.0, 3.0, 2.0], [5.0, 3.0, 2.0, 1.0, 5.0]]), 
        'dense' : array ([[4.0, 3.0, 2.0, 1.0, 4.0], [3.0, 2.0, 1.0, 4.0, 3.0], [2.0, 1.0, 4.0, 3.0, 2.0], [1.0, 4.0, 3.0, 2.0, 1.0], [4.0, 3.0, 2.0, 1.0, 4.0]]), 
} 
    def check(terms) : 
        graph = TermGraph (terms) 
        results = self.run_graph (graph, initial_workspace = { 
            f : data, 
}, mask = self.build_mask (ones ((5, 5)))) 
        for method in terms : 
            check_arrays (results [method], expected_ranks [method]) 
check ({ meth : f.rank (method = meth, ascending = False) for meth in expected_ranks }) 
    check ({ 
        'ordinal' : f.rank (ascending = False), 
}) 

    
    

    Fix the buggy line: f = F (dtype = self)
assistant
#Here is Python code to fix the buggy line: f = F (dtype = self)
.

f = F (dtype = factor_dtype)