human
Solve the following python programming problem given the following code:
def test_generate(self) : 
    '
        Ensures that the generate iterable is used to create new generations.
        ' 
    start_pop = [1, 2, 3] 
    def fitness(genome) : 
        '
            For illustrative purposes.
            ' 
        return genome 
def halt(population, generation_count) : 
        '
            Halts the algorithm after ten populations.
            ' 
        return (generation_count == 10) 
class Generate (object) : 
        '
            An iterable for producing new offspring.
            ' 
        def __init__(self, parent_population) : 
            '
                @param parent_population: the parent genomes.
                ' 
            self.counter = 0 
            self.size = len (parent_population) 
            self.parents = parent_population 
def __iter__(self) : 
            return self 
def next(self) : 
            '
                For testing purposes only.
                ' 
            if (self.counter < self.size) : 
                (pos, self.counter) = (self.counter, (self.counter + 1)) 
                return (self.parents [pos] + 1) 
else : 
                raise StopIteration () 
ga = genetic_algorithm (start_pop, fitness, Generate, fitness) 
    actual = [p for p in ga] 
    expected = [[(3 + i), (2 + i), (1 + i)] for i in range (10)] 
    self.assertEqual (actual, expected, ('Actual: %r Expected: %r' % (actual, expected))) 

    
    

    Fix the buggy line: ga = genetic_algorithm (start_pop, fitness, Generate, fitness)
assistant
#Here is Python code to fix the buggy line: ga = genetic_algorithm (start_pop, fitness, Generate, fitness)
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ga = genetic_algorithm (start_pop, fitness, Generate, def halt()