Probability simulation

def run_test():
    global count, N

    def run_experiment(n_balls, n_cells, offset):
        cells = [0] * n_cells
        # toss balls randomly to cells:
        for j in range(n_balls):
            cells[random.randrange(0, n_cells)] += 1
            # cells[int(lines[offset + j])] += 1
        cells = sorted(cells)
        # print(cells)

        # check if there is an empty cell. if so return 0, otherwise 1:
        if cells[0] == 0:
            return 0
        return 1

    count = 0
    N = 1000000
    offset = 0
    N_CELLS = 8
    N_BALLS = 12
    # iterate experiment
    for i in range(N):
        result = run_experiment(N_BALLS, N_CELLS, offset=offset)
        count += result
        offset += N_CELLS

    print("probability:", count, "/", N, "(~", count / N, ")")