

In [3]:

    
%matplotlib inline
import matplotlib.pyplot as plt
import time
import math
import numpy as np

def random(n):
    
    lastXn = int(time.clock())+7897857
    a = lastXn*8
    b = a + 98756465
    m = 900217+int(time.clock())
    rList = []
    for i in range(n):
        
        Xn = float((a*lastXn + b)% m)
        lastXn = Xn
        random = float(Xn/m)
        rList.append(random)
    return rList

def genExponencial(n,l):
    px = random(n)
    xList = []
    for i in px:
        r =  -math.log(1-i)/l
        xList.append(r)
    print xList
    plt.hist(xList)
    
def genCauchy(n, xo, v):
    px = random(n)
    xList = []
    for i in px:
        r =  math.tan(math.pi*(i-0.5))
        xList.append(r)
    print xList
    plt.hist(xList)
    
def genLaplace(n, u, b):
    px = random(n)
    xList = []
    for i in px:
        r =  u - b*np.sign(i-0.5)*math.log(1-2*abs(i-0.5))
        xList.append(r)
    print xList
    plt.hist(xList)
    
def main():
    #Distribucion Exponencial
    '''
    l = float(raw_input('Please input the lambda value: ')) #l > 0
    n = int(raw_input('Please input the amount of random numbers to generate: '))
    genExponencial(n,l)
    '''
    '''
    # Distribucion de Cauchy
    xo = float(raw_input('Please input the x0 value: '))
    v = float(raw_input('Please input the v value: '))
    n = int(raw_input('Please input the amount of random numbers to generate: '))
    genCauchy(n, xo, v)
    '''
    #Distribucion de Laplace
    u = float(raw_input('Please input the u value: '))
    b = float(raw_input('Please input the b value: '))
    n = int(raw_input('Please input the amount of random numbers to generate: '))
    genLaplace(n,u,b)
    
      
main()









    



Please input the u value: 0
Please input the b value: 10
Please input the amount of random numbers to generate: 500
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