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  1. #Assignment2pt2
  2. #Jonathan Dombrowski
  3. #916921673
  4. #Jdombrowski416@gmail.com
  5.  
  6. import numpy as np
  7. import matplotlib.pyplot as plt
  8. numberOfTrials = 10000000
  9. results = np.zeros((numberOfTrials),dtype=float)
  10. temp1=0.0
  11. temp2=0.0
  12. trialCounter=0
  13.  
  14. def fillList():
  15.     for i in range(numberOfTrials):
  16.         global trialCounter
  17.         trialCounter=1
  18.         temp1 = np.random.uniform(0,1)
  19.         temp2 = np.random.uniform(0,1)
  20.         results[i]=recGenerator(temp1,temp2)
  21.  
  22. def recGenerator(temp1,temp2):
  23.     global trialCounter
  24.     if(temp1>temp2):
  25.         pass
  26.     else:
  27.         temp1=temp2
  28.         temp2=np.random.uniform(0,1)
  29.         trialCounter+=1
  30.         recGenerator(temp1,temp2)
  31.     return trialCounter
  32.  
  33.  
  34.  
  35.  
  36.  
  37.  
  38.  
  39.  
  40.  
  41.  
  42. def findExpectedValue():
  43.     sum =0.0
  44.     for i in range(numberOfTrials):
  45.         sum += results[i]
  46.     return str(sum/numberOfTrials)
  47. fillList()
  48. print("Expected number of trials is : "+findExpectedValue())
  49. plt.hist(results, bins=7,normed=1,cumulative=False,
  50.             rwidth=1,stacked=False,label="dataset 1",log=False)
  51. plt.show()
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