Python random.paretovariate() Examples

The following are 6 code examples of random.paretovariate(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module random , or try the search function .
Example #1
Source File: LSTM.py    From LSTM_morse with MIT License 6 votes vote down vote up 
def create_random_text(strs,slen,alpha):
    '''
    Create strs number of strings with length of slen 
    Use pareto distribution to pull randomly from 4 different groups 
    if Alpha is large (>10) get almost 100% letters, 
    if Alpha is smaller (1..5) get mixture of letters, numbers and special chars
    See https://en.wikipedia.org/wiki/Pareto_distribution
    '''
    s = []
    chrs = sorted(list(Morsecode))
    groups =[[29,55],[12,22],[0,11],[55,60]] #letters 29-55, numbers 12-22
    for i in range(strs):
        for j in range(slen):
            val = paretovariate(alpha)-1 #pareto distribution 
            gn = int((val, 3)[val > 3])  # select the group characters are pulled from
            s += chrs[randrange(groups[gn][0],groups[gn][1])] #select random char from group 
        s += ' '
    return ''.join(s)
Example #2
Source File: __main__.py    From slicesim with MIT License 6 votes vote down vote up 
def get_dist(d):
    return {
        'randrange': random.randrange, # start, stop, step
        'randint': random.randint, # a, b
        'random': random.random,
        'uniform': random, # a, b
        'triangular': random.triangular, # low, high, mode
        'beta': random.betavariate, # alpha, beta
        'expo': random.expovariate, # lambda
        'gamma': random.gammavariate, # alpha, beta
        'gauss': random.gauss, # mu, sigma
        'lognorm': random.lognormvariate, # mu, sigma
        'normal': random.normalvariate, # mu, sigma
        'vonmises': random.vonmisesvariate, # mu, kappa
        'pareto': random.paretovariate, # alpha
        'weibull': random.weibullvariate # alpha, beta
    }.get(d)
Example #3
Source File: sa.py    From aiopg with BSD 2-Clause "Simplified" License 5 votes vote down vote up 
def fill_data(conn):
    async with conn.begin():
        for name in random.sample(names, len(names)):
            uid = await conn.scalar(
                users.insert().values(name=name, birthday=gen_birthday()))
            emails_count = int(random.paretovariate(2))
            for num in random.sample(range(10000), emails_count):
                is_private = random.uniform(0, 1) < 0.8
                await conn.execute(emails.insert().values(
                    user_id=uid,
                    email='{}+{}@gmail.com'.format(name, num),
                    private=is_private))
Example #4
Source File: random_sequence.py    From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 5 votes vote down vote up 
def pareto_sequence(n,exponent=1.0):
    """
    Return sample sequence of length n from a Pareto distribution.
    """
    return [random.paretovariate(exponent) for i in range(n)]
Example #5
Source File: random_sequence.py    From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 5 votes vote down vote up 
def powerlaw_sequence(n,exponent=2.0):
    """
    Return sample sequence of length n from a power law distribution.
    """
    return [random.paretovariate(exponent-1) for i in range(n)]
Example #6
Source File: random_sequence.py    From aws-kube-codesuite with Apache License 2.0 5 votes vote down vote up 
def powerlaw_sequence(n, exponent=2.0):
    """
    Return sample sequence of length n from a power law distribution.
    """
    return [random.paretovariate(exponent - 1) for i in range(n)]