How to use the datasketch.lsh.integrate function in datasketch

def _false_negative_probability(threshold, b, r, xq):
    '''
    Compute the false negative probability given the containment threshold
    '''
    _probability = lambda t : 1 - (1 - (1 - (t/(1 + xq - t))**float(r))**float(b))
    if xq >= 1.0:
        a, err = integrate(_probability, threshold, 1.0)
        return a
    if xq >= threshold:
        a, err = integrate(_probability, threshold, xq)
        return a
    return 0.0

def _false_positive_probability(threshold, b, r, xq):
    '''
    Compute the false positive probability given the containment threshold.
    xq is the ratio of x/q.
    '''
    _probability = lambda t : 1 - (1 - (t/(1 + xq - t))**float(r))**float(b)
    if xq >= threshold:
        a, err = integrate(_probability, 0.0, threshold)
        return a
    a, err = integrate(_probability, 0.0, xq)
    return a

def _false_negative_probability(threshold, b, r, xq):
    '''
    Compute the false negative probability given the containment threshold
    '''
    _probability = lambda t : 1 - (1 - (1 - (t/(1 + xq - t))**float(r))**float(b))
    if xq >= 1.0:
        a, err = integrate(_probability, threshold, 1.0)
        return a
    if xq >= threshold:
        a, err = integrate(_probability, threshold, xq)
        return a
    return 0.0

def _false_positive_probability(threshold, b, r, xq):
    '''
    Compute the false positive probability given the containment threshold.
    xq is the ratio of x/q.
    '''
    _probability = lambda t : 1 - (1 - (t/(1 + xq - t))**float(r))**float(b)
    if xq >= threshold:
        a, err = integrate(_probability, 0.0, threshold)
        return a
    a, err = integrate(_probability, 0.0, xq)
    return a