(condition, given_condition=None, numsamples=1,
               evalf=True, **kwargs)
Sampling version of P

    See Also
    ========
    P
    sampling_E
    sampling_density
Sampling version of P
Sampling version of P
def sampling_P(condition, given_condition=None, numsamples=1,
               evalf=True, **kwargs):
    """
    Sampling version of P

    See Also
    ========
    P
    sampling_E
    sampling_density
    """

    count_true = 0
    count_false = 0

    samples = sample_iter(condition, given_condition,
                          numsamples=numsamples, **kwargs)

    for x in samples:
        if x != True and x != False:
            raise ValueError("Conditions must not contain free symbols")

        if x:
            count_true += 1
        else:
            count_false += 1

    result = S(count_true) / numsamples
    if evalf:
        return result.evalf()
    else:
        return result
def sampling_P ( condition , given_condition = None , numsamples = 1 , evalf = True , * * kwargs ) : count_true = 0 count_false = 0 samples = sample_iter ( condition , given_condition , numsamples = numsamples , * * kwargs ) for x in samples : if x != True and x != False : raise ValueError ( "Conditions must not contain free symbols" ) if x : count_true += 1 else : count_false += 1 result = S ( count_true ) / numsamples if evalf : return result . evalf ( ) else : return result