human
Solve the following python programming problem given the following code:
@ image_comparison (baseline_images = ['fun_dnorm', 'fun_sin_vs_cos', 'fun_args', 'fun_dict_args']) 
def test_stat_function() : 
    np.random.seed (7776) 
    dnorm = (lambda x : ((1.0 / np.sqrt ((2 * np.pi))) * (np.e ** ((- 0.5) * (x ** 2))))) 
    print (((ggplot (DataFrame ({ 
        'x' : np.random.normal (size = 100), 
}), aes (x = 'x')) + geom_density ()) + stat_function (fun = dnorm, n = 200))) 
    print (((ggplot (DataFrame ({ 
        'x' : np.arange (10), 
}), aes (x = 'x')) + stat_function (fun = np.sin, color = 'red')) + stat_function (fun = np.cos, color = 'blue'))) 
    def to_the_power_of(n, p) : 
        return (n ** p) 
x = np.random.randn (100) 
    y = (x ** 3) 
    y += np.random.randn (100) 
    data = DataFrame ({ 
        'x' : x, 
        'y' : y, 
}) 
    print (((ggplot (aes (x = 'x', y = 'y'), data) + geom_point ()) + stat_function (fun = to_the_power_of, args = [3]))) 
    def dnorm(x, mean, var) : 
        return scipy.stats.norm (mean, var).pdf (x) 
data = DataFrame ({ 
        'x' : np.arange ((- 5), 6), 
}) 
    print (((((ggplot (aes (x = 'x'), data = x) + stat_function (fun = dnorm, color = 'blue', args = { 
        'mean' : 0.0, 
        'var' : 0.2, 
})) + stat_function (fun = dnorm, color = 'red', args = { 
        'mean' : 0.0, 
        'var' : 1.0, 
})) + stat_function (fun = dnorm, color = 'yellow', args = { 
        'mean' : 0.0, 
        'var' : 5.0, 
})) + stat_function (fun = dnorm, color = 'green', args = { 
        'mean' : (- 2.0), 
        'var' : 0.5, 
}))) 

    
    

    Fix the buggy line: print (((((ggplot (aes (x = 'x'), data = x) + stat_function (fun = dnorm, color = 'blue', args = {
assistant
#Here is Python program to fix the buggy line: print (((((ggplot (aes (x = 'x'), data = x) + stat_function (fun = dnorm, color = 'blue', args = {
.

print (((((ggplot (aes (x = 'x'), data = data) + stat_function (fun = dnorm, color = 'blue', args = {