How to create a function (Iteration/Recursion) to run over a dictionary of tuples in Python?

I have a Python dictionary of lists like this one:

d = {'A': [(4, 4, 3), [1, 2, 3, 4, 5]],
     'B': [(2, 1, 2), [5, 4, 3, 2, 1]],
     'C': [(4, 1, 1), [2, 4, 1, 2, 4]]}

I need to create a formula that accesses the elements of the dictionary and, for every value [t, l]:

• Calculates the mean of t (let's call this m);
• Takes a random sample s, with replacement and of length len(t), from l;
• Compares m with the mean of s - True if m is greater than the mean of s, False otherwise;
• Repeats this process 10,000 times
• Returns the percentage of times m is greater than the mean of s.

The output should look like:

In [16]: test(d)   
Out[16]: {'A': 0.5, 'B': 0.9, 'C': 0.4}

I think I'm not that far from an answer, this is what I have tried:

def test(dict):
    def mean_diff(dict):
        for k, (v0, v1) in dict.iteritems():
            m = np.mean(v0) > (np.mean(npr.choice(v1, size=(1, len(v0)), replace=True)))
            return ({k: m})
    for k, (v0, v1) in dict.iteritems():
        bootstrap = np.array([means_diff(dict) for _ in range(10000)])
        rank = float(np.sum(bootstrap))/10000
        return ({k: rank})

However, I got:

RuntimeError: maximum recursion depth exceeded while calling a Python object