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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def find_collisions(Signal, tolerance=50):
 """ Finds collision events in the signal from the shift in phase of the signal. Parameters Signal : array_like Array containing the values of the signal of interest containing a single frequency. tolerance : float Percentage tolerance, if the value of the FM Discriminator varies from the mean by this percentage it is counted as being during a collision event (or the aftermath of an event). Returns ------- Collisions : ndarray Array of booleans, true if during a collision event, false otherwise. """

    fmd = fm_discriminator(Signal)
    mean_fmd = _np.mean(fmd)

    Collisions = [_is_this_a_collision(
        [value, mean_fmd, tolerance]) for value in fmd]

    return Collisions