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DiseasePredictor.py
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DiseasePredictor.py
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# CSCI 3202: Assignment 4
# DiseasePredictor.py
# Kara James, Joshua Weaver
# Joint of capital letters doesn't work
import node
import getopt
import sys
"""
Conditional probability
"""
def ConditionalProb(arg):
#for setting our own order of arguments
flip = False
arg2 = ''
# check for leading c,x,d; add to arg2
if '~c' in arg[:2]:
flip = True
arg2+='c|'
elif arg[:1] is 'c':
arg2+='c|'
elif '~x' in arg[:2]:
flip = True
print "Made it!"
arg2+='x|'
elif arg[:1] is 'x':
arg2+='x|'
elif '~d' in arg[:2]:
flip = True
arg2+='d|'
elif arg[:1] is 'd':
arg2+='d|'
#x,d are left out, if we determine that they could be options we need to add here
if '~s' in arg:
arg2+='~s'
elif 's' in arg:
arg2+='s'
if '~p' in arg:
arg2+='~p'
elif 'p' in arg:
arg2+='p'
if '~c' in arg and not(arg[:1] is 'c'):
arg2+='~c'
elif 'c' in arg and not(arg[:1] is 'c'):
arg2+='c'
if '~d' in arg and not(arg[:1] is 'd'):
arg2+='~d'
elif 'd' in arg and not(arg[:1] is 'd'):
arg2+='d'
if '~x' in arg and not(arg[:1] is 'x'):
arg2+='~x'
elif 'x' in arg and not(arg[:1] is 'x'):
arg2+='x'
print 'Arg2', arg2
results = { 'c|s' : (table[0][0]+table[0][1]+table[0][2]+table[0][3]+table[2][0]+table[2][1]+table[2][2]+table[2][3])/(Smoker.probabilities),
'c|sp' : Cancer.probabilities['LT'],
'c|s~p' : Cancer.probabilities['HT'],
'c|~s' : (table[1][0]+table[1][1]+table[1][2]+table[1][3]+table[3][0]+table[3][1]+table[3][2]+table[3][3])/(1-Smoker.probabilities),
'c|~sp' : Cancer.probabilities['LF'],
'c|~s~p' : Cancer.probabilities['HF'],
'c|p' : (table[0][0]+table[1][0]+table[2][0]+table[3][0]+table[0][2]+table[1][2]+table[2][2]+table[3][2])/(Pollution.probabilities),
'c|~p' : (table[0][1]+table[1][1]+table[2][1]+table[3][1]+table[0][3]+table[1][3]+table[2][3]+table[3][3])/(1-Pollution.probabilities),
'c|d' : 0,
'c|dx' : 0,
'c|~d' : 0,
'c|~dx' : 0,
'c|x' : 0,
'c|~x' : 0,
'c|sd' : 0,
'c|spd' : 0,
'c|s~pd' : 0,
'c|~sd' : 0,
'c|~spd' : 0,
'c|~s~pd' : 0,
'c|pd' : 0,
'c|~pd' : 0,
'c|s~d' : 0,
'c|sp~d' : 0,
'c|s~p~d' : 0,
'c|~s~d' : 0,
'c|~sp~d' : 0,
'c|~s~p~d' : 0,
'c|p~d' : 0,
'c|~p~d' : 0,
'c|sx' : 0,
'c|spx' : 0,
'c|s~px' : 0,
'c|~sx' : 0,
'c|~spx' : 0,
'c|~s~px' : 0,
'c|px' : 0,
'c|~px' : 0,
'c|s~x' : 0,
'c|sp~x' : 0,
'c|s~p~x' : 0,
'c|~s~x' : 0,
'c|~sp~x' : 0,
'c|~s~p~x' : 0,
'c|p~x' : 0,
'c|~p~x' : 0,
'x|s' : (table[0][0]+table[0][1]+table[0][2]+table[0][3]+table[0][4]+table[0][5]+table[0][6]+table[0][7])/(Smoker.probabilities),
'x|~s' : (table[1][0]+table[1][1]+table[1][2]+table[1][3]+table[1][4]+table[1][5]+table[1][6]+table[1][7])/(1-Smoker.probabilities),
'x|sp' : (table[0][0]+table[0][2]+table[0][4]+table[0][6])/(table[0][0]+table[0][2]+table[0][4]+table[0][6]+table[2][0]+table[2][2]+table[2][4]+table[2][6]),
'x|s~p' : (table[0][1]+table[0][3]+table[0][5]+table[0][7])/(table[0][1]+table[0][3]+table[0][5]+table[0][7]+table[2][1]+table[2][3]+table[2][5]+table[2][7]),
'x|~sp' : (table[1][0]+table[1][2]+table[1][4]+table[1][6])/(table[1][0]+table[1][2]+table[1][4]+table[1][6]+table[3][0]+table[3][2]+table[3][4]+table[3][6]),
'x|~s~p' : (table[1][1]+table[1][3]+table[1][5]+table[1][7])/(table[1][1]+table[1][3]+table[1][5]+table[1][7]+table[3][1]+table[3][3]+table[3][5]+table[3][7]),
'x|sc' : Xray.probabilities['True'],
'x|s~c' : Xray.probabilities['False'],
'x|~sc' : Xray.probabilities['True'],
'x|~s~c' : (table[1][4]+table[1][5]+table[1][6]+table[1][7])/(table[1][4]+table[1][5]+table[1][6]+table[1][7]+table[3][4]+table[3][5]+table[3][6]+table[3][7]),
'x|spc' : Xray.probabilities['True'],
'x|sp~c' : Xray.probabilities['False'],
'x|s~pc' : Xray.probabilities['True'],
'x|~spc' : Xray.probabilities['True'],
'x|~s~pc' : Xray.probabilities['True'],
'x|~sp~c' : Xray.probabilities['False'],
'x|s~p~c' : Xray.probabilities['False'],
'x|~s~p~c' : Xray.probabilities['False'],
'x|p' : (table[0][0]+table[1][0]+table[0][2]+table[1][2]+table[0][4]+table[1][4]+table[0][6]+table[1][6])/(Pollution.probabilities),
'x|~p' : (table[0][1]+table[1][1]+table[0][3]+table[1][3]+table[0][5]+table[1][5]+table[0][7]+table[1][7])/(1-Pollution.probabilities),
'x|pc' : Xray.probabilities['True'],
'x|~pc' : Xray.probabilities['True'],
'x|p~c' : Xray.probabilities['False'],
'x|~p~c' : Xray.probabilities['False'],
'x|c' : Xray.probabilities['True'],
'x|~c' : Xray.probabilities['False'],
#BELOW IS INCORRECT
'x|sd' : (table[0][0]+table[0][1]+table[0][2]+table[0][3]+table[0][4]+table[0][5]+table[0][6]+table[0][7])/(Smoker.probabilities),
'x|~sd' : (table[1][0]+table[1][1]+table[1][2]+table[1][3]+table[1][4]+table[1][5]+table[1][6]+table[1][7])/(1-Smoker.probabilities),
'x|spd' : (table[0][0]+table[0][2]+table[0][4]+table[0][6])/(table[0][0]+table[0][2]+table[0][4]+table[0][6]+table[2][0]+table[2][2]+table[2][4]+table[2][6]),
'x|s~pd' : (table[0][1]+table[0][3]+table[0][5]+table[0][7])/(table[0][1]+table[0][3]+table[0][5]+table[0][7]+table[2][1]+table[2][3]+table[2][5]+table[2][7]),
'x|~spd' : (table[1][0]+table[1][2]+table[1][4]+table[1][6])/(table[1][0]+table[1][2]+table[1][4]+table[1][6]+table[3][0]+table[3][2]+table[3][4]+table[3][6]),
'x|~s~pd' : (table[1][1]+table[1][3]+table[1][5]+table[1][7])/(table[1][1]+table[1][3]+table[1][5]+table[1][7]+table[3][1]+table[3][3]+table[3][5]+table[3][7]),
'x|scd' : Xray.probabilities['True'],
'x|s~cd' : Xray.probabilities['False'],
'x|~scd' : Xray.probabilities['True'],
'x|~s~cd' : (table[1][4]+table[1][5]+table[1][6]+table[1][7])/(table[1][4]+table[1][5]+table[1][6]+table[1][7]+table[3][4]+table[3][5]+table[3][6]+table[3][7]),
'x|spcd' : Xray.probabilities['True'],
'x|sp~cd' : Xray.probabilities['False'],
'x|s~pcd' : Xray.probabilities['True'],
'x|~spcd' : Xray.probabilities['True'],
'x|~s~pcd' : Xray.probabilities['True'],
'x|~sp~cd' : Xray.probabilities['False'],
'x|s~p~cd' : Xray.probabilities['False'],
'x|~s~p~cd' : Xray.probabilities['False'],
'x|pd' : (table[0][0]+table[1][0]+table[0][2]+table[1][2]+table[0][4]+table[1][4]+table[0][6]+table[1][6])/(Pollution.probabilities),
'x|~pd' : (table[0][1]+table[1][1]+table[0][3]+table[1][3]+table[0][5]+table[1][5]+table[0][7]+table[1][7])/(1-Pollution.probabilities),
'x|pcd' : Xray.probabilities['True'],
'x|~pcd' : Xray.probabilities['True'],
'x|p~cd' : Xray.probabilities['False'],
'x|~p~cd' : Xray.probabilities['False'],
'x|cd' : Xray.probabilities['True'],
'x|~cd' : Xray.probabilities['False'],
'x|s~d' : (table[0][0]+table[0][1]+table[0][2]+table[0][3]+table[0][4]+table[0][5]+table[0][6]+table[0][7])/(Smoker.probabilities),
'x|~s~d' : (table[1][0]+table[1][1]+table[1][2]+table[1][3]+table[1][4]+table[1][5]+table[1][6]+table[1][7])/(1-Smoker.probabilities),
'x|sp~d' : (table[0][0]+table[0][2]+table[0][4]+table[0][6])/(table[0][0]+table[0][2]+table[0][4]+table[0][6]+table[2][0]+table[2][2]+table[2][4]+table[2][6]),
'x|s~p~d' : (table[0][1]+table[0][3]+table[0][5]+table[0][7])/(table[0][1]+table[0][3]+table[0][5]+table[0][7]+table[2][1]+table[2][3]+table[2][5]+table[2][7]),
'x|~sp~d' : (table[1][0]+table[1][2]+table[1][4]+table[1][6])/(table[1][0]+table[1][2]+table[1][4]+table[1][6]+table[3][0]+table[3][2]+table[3][4]+table[3][6]),
'x|~s~p~d' : (table[1][1]+table[1][3]+table[1][5]+table[1][7])/(table[1][1]+table[1][3]+table[1][5]+table[1][7]+table[3][1]+table[3][3]+table[3][5]+table[3][7]),
'x|sc~d' : Xray.probabilities['True'],
'x|s~c~d' : Xray.probabilities['False'],
'x|~sc~d' : Xray.probabilities['True'],
'x|~s~c~d' : (table[1][4]+table[1][5]+table[1][6]+table[1][7])/(table[1][4]+table[1][5]+table[1][6]+table[1][7]+table[3][4]+table[3][5]+table[3][6]+table[3][7]),
'x|spc~d' : Xray.probabilities['True'],
'x|sp~c~d' : Xray.probabilities['False'],
'x|s~pc~d' : Xray.probabilities['True'],
'x|~spc~d' : Xray.probabilities['True'],
'x|~s~pc~d' : Xray.probabilities['True'],
'x|~sp~c~d' : Xray.probabilities['False'],
'x|s~p~c~d' : Xray.probabilities['False'],
'x|~s~p~c~d' : Xray.probabilities['False'],
'x|p~d' : (table[0][0]+table[1][0]+table[0][2]+table[1][2]+table[0][4]+table[1][4]+table[0][6]+table[1][6])/(Pollution.probabilities),
'x|~p~d' : (table[0][1]+table[1][1]+table[0][3]+table[1][3]+table[0][5]+table[1][5]+table[0][7]+table[1][7])/(1-Pollution.probabilities),
'x|pc~d' : Xray.probabilities['True'],
'x|~pc~d' : Xray.probabilities['True'],
'x|p~c~d' : Xray.probabilities['False'],
'x|~p~c~d' : Xray.probabilities['False'],
'x|c~d' : Xray.probabilities['True'],
'x|~c~d' : Xray.probabilities['False'],
#BELOW IS CORRECT
'd|s' : (table[0][0]+table[0][1]+table[0][4]+table[0][5]+table[2][0]+table[2][1]+table[2][4]+table[2][5])/(Smoker.probabilities),
'd|~s' : (table[1][0]+table[1][1]+table[1][4]+table[1][5]+table[3][0]+table[3][1]+table[3][4]+table[3][5])/(1-Smoker.probabilities),
'd|sp' : (table[0][0]+table[0][4]+table[2][0]+table[2][4])/(table[0][0]+table[0][2]+table[0][4]+table[0][6]+table[2][0]+table[2][2]+table[2][4]+table[2][6]),
'd|s~p' : (table[0][1]+table[0][5]+table[2][1]+table[2][5])/(table[0][1]+table[0][3]+table[0][5]+table[0][7]+table[2][1]+table[2][3]+table[2][5]+table[2][7]),
'd|~sp' : (table[1][0]+table[1][4]+table[3][0]+table[3][4])/(table[1][0]+table[1][2]+table[1][4]+table[1][6]+table[3][0]+table[3][2]+table[3][4]+table[3][6]),
'd|~s~p' : (table[1][1]+table[1][5]+table[3][1]+table[3][5])/(table[1][1]+table[1][3]+table[1][5]+table[1][7]+table[3][1]+table[3][3]+table[3][5]+table[3][7]),
'd|sc' : Dyspnoea.probabilities['True'],
'd|s~c' : Dyspnoea.probabilities['False'],
'd|~sc' : Dyspnoea.probabilities['True'],
'd|~s~c' : Dyspnoea.probabilities['False'],
'd|spc' : Dyspnoea.probabilities['True'],
'd|sp~c' : Dyspnoea.probabilities['False'],
'd|s~pc' : Dyspnoea.probabilities['True'],
'd|~spc' : Dyspnoea.probabilities['True'],
'd|~s~pc' : Dyspnoea.probabilities['True'],
'd|~sp~c' : Dyspnoea.probabilities['False'],
'd|s~p~c' : Dyspnoea.probabilities['False'],
'd|~s~p~c' : Dyspnoea.probabilities['False'],
'd|p' : (table[0][0]+table[1][0]+table[2][0]+table[3][0]+table[0][4]+table[1][4]+table[2][4]+table[3][4])/(Pollution.probabilities),
'd|~p' : (table[0][1]+table[1][1]+table[2][1]+table[3][1]+table[0][5]+table[1][5]+table[2][5]+table[3][5])/(1-Pollution.probabilities),
'd|pc' : Dyspnoea.probabilities['True'],
'd|~pc' : Dyspnoea.probabilities['True'],
'd|p~c' : Dyspnoea.probabilities['False'],
'd|~p~c' : Dyspnoea.probabilities['False'],
'd|c' : Dyspnoea.probabilities['True'],
'd|~c' : Dyspnoea.probabilities['False'],
#BELOW IS INCORRECT
'd|sx' : (table[0][0]+table[0][1]+table[0][4]+table[0][5]+table[2][0]+table[2][1]+table[2][4]+table[2][5])/(Smoker.probabilities),
'd|~sx' : (table[1][0]+table[1][1]+table[1][4]+table[1][5]+table[3][0]+table[3][1]+table[3][4]+table[3][5])/(1-Smoker.probabilities),
'd|spx' : (table[0][0]+table[0][4]+table[2][0]+table[2][4])/(table[0][0]+table[0][2]+table[0][4]+table[0][6]+table[2][0]+table[2][2]+table[2][4]+table[2][6]),
'd|s~px' : (table[0][1]+table[0][5]+table[2][1]+table[2][5])/(table[0][1]+table[0][3]+table[0][5]+table[0][7]+table[2][1]+table[2][3]+table[2][5]+table[2][7]),
'd|~spx' : (table[1][0]+table[1][4]+table[3][0]+table[3][4])/(table[1][0]+table[1][2]+table[1][4]+table[1][6]+table[3][0]+table[3][2]+table[3][4]+table[3][6]),
'd|~s~px' : (table[1][1]+table[1][5]+table[3][1]+table[3][5])/(table[1][1]+table[1][3]+table[1][5]+table[1][7]+table[3][1]+table[3][3]+table[3][5]+table[3][7]),
'd|scx' : Dyspnoea.probabilities['True'],
'd|s~cx' : Dyspnoea.probabilities['False'],
'd|~scx' : Dyspnoea.probabilities['True'],
'd|~s~cx' : Dyspnoea.probabilities['False'],
'd|spcx' : Dyspnoea.probabilities['True'],
'd|sp~cx' : Dyspnoea.probabilities['False'],
'd|s~pcx' : Dyspnoea.probabilities['True'],
'd|~spcx' : Dyspnoea.probabilities['True'],
'd|~s~pcx' : Dyspnoea.probabilities['True'],
'd|~sp~cx' : Dyspnoea.probabilities['False'],
'd|s~p~cx' : Dyspnoea.probabilities['False'],
'd|~s~p~cx' : Dyspnoea.probabilities['False'],
'd|px' : (table[0][0]+table[1][0]+table[2][0]+table[3][0]+table[0][4]+table[1][4]+table[2][4]+table[3][4])/(Pollution.probabilities),
'd|~px' : (table[0][1]+table[1][1]+table[2][1]+table[3][1]+table[0][5]+table[1][5]+table[2][5]+table[3][5])/(1-Pollution.probabilities),
'd|pcx' : Dyspnoea.probabilities['True'],
'd|~pcx' : Dyspnoea.probabilities['True'],
'd|p~cx' : Dyspnoea.probabilities['False'],
'd|~p~cx' : Dyspnoea.probabilities['False'],
'd|cx' : Dyspnoea.probabilities['True'],
'd|~cx' : Dyspnoea.probabilities['False'],
'd|s~x' : (table[0][0]+table[0][1]+table[0][4]+table[0][5]+table[2][0]+table[2][1]+table[2][4]+table[2][5])/(Smoker.probabilities),
'd|~s~x' : (table[1][0]+table[1][1]+table[1][4]+table[1][5]+table[3][0]+table[3][1]+table[3][4]+table[3][5])/(1-Smoker.probabilities),
'd|sp~x' : (table[0][0]+table[0][4]+table[2][0]+table[2][4])/(table[0][0]+table[0][2]+table[0][4]+table[0][6]+table[2][0]+table[2][2]+table[2][4]+table[2][6]),
'd|s~p~x' : (table[0][1]+table[0][5]+table[2][1]+table[2][5])/(table[0][1]+table[0][3]+table[0][5]+table[0][7]+table[2][1]+table[2][3]+table[2][5]+table[2][7]),
'd|~sp~x' : (table[1][0]+table[1][4]+table[3][0]+table[3][4])/(table[1][0]+table[1][2]+table[1][4]+table[1][6]+table[3][0]+table[3][2]+table[3][4]+table[3][6]),
'd|~s~p~x' : (table[1][1]+table[1][5]+table[3][1]+table[3][5])/(table[1][1]+table[1][3]+table[1][5]+table[1][7]+table[3][1]+table[3][3]+table[3][5]+table[3][7]),
'd|sc~x' : Dyspnoea.probabilities['True'],
'd|s~c~x' : Dyspnoea.probabilities['False'],
'd|~sc~x' : Dyspnoea.probabilities['True'],
'd|~s~c~x' : Dyspnoea.probabilities['False'],
'd|spc~x' : Dyspnoea.probabilities['True'],
'd|sp~c~x' : Dyspnoea.probabilities['False'],
'd|s~pc~x' : Dyspnoea.probabilities['True'],
'd|~spc~x' : Dyspnoea.probabilities['True'],
'd|~s~pc~x' : Dyspnoea.probabilities['True'],
'd|~sp~c~x' : Dyspnoea.probabilities['False'],
'd|s~p~c~x' : Dyspnoea.probabilities['False'],
'd|~s~p~c~x' : Dyspnoea.probabilities['False'],
'd|p~x' : (table[0][0]+table[1][0]+table[2][0]+table[3][0]+table[0][4]+table[1][4]+table[2][4]+table[3][4])/(Pollution.probabilities),
'd|~p~x' : (table[0][1]+table[1][1]+table[2][1]+table[3][1]+table[0][5]+table[1][5]+table[2][5]+table[3][5])/(1-Pollution.probabilities),
'd|pc~x' : Dyspnoea.probabilities['True'],
'd|~pc~x' : Dyspnoea.probabilities['True'],
'd|p~c~x' : Dyspnoea.probabilities['False'],
'd|~p~c~x' : Dyspnoea.probabilities['False'],
'd|c~x' : Dyspnoea.probabilities['True'],
'd|~c~x' : Dyspnoea.probabilities['False'],
}
if flip==True:
result = 1-results[arg2]
else:
result = results[arg2]
print result
"""
Joint Probability
"""
def JointProb(arg):
product = 1
p = 'N'
s = 'N'
c = 'N'
if '~p' in arg:
p = 'H'
product *= 1 - Pollution.probabilities
elif 'p' in arg:
p = 'L'
product *= Pollution.probabilities
if '~s' in arg:
s = 'F'
product *= 1 - Smoker.probabilities
elif 's' in arg:
s = 'T'
product *= Smoker.probabilities
if '~c' in arg:
c = 'F'
if (p=='H' and s=='T'):
product *= (1-Cancer.probabilities["HT"])
elif (p=='H' and s=='F'):
product *= (1-Cancer.probabilities["HF"])
elif (p=='L' and s=='T'):
product *= (1-Cancer.probabilities["LT"])
elif (p=='L' and s=='F'):
product *= (1-Cancer.probabilities["LF"])
elif (p=='H' and s=='N'):
product *= ((1-Cancer.probabilities["HT"]) + (1-Cancer.probabilities["HF"]))
elif (p=='L' and s=='N'):
product *= ((1-Cancer.probabilities["LT"]) + (1-Cancer.probabilities["LF"]))
elif (p=='N' and s=='T'):
product *= ((1-Cancer.probabilities["HT"]) + (1-Cancer.probabilities["LT"]))
elif (p=='N' and s=='F'):
product *= ((1-Cancer.probabilities["HF"]) + (1-Cancer.probabilities["LF"]))
elif (p=='N' and s=='N'):
product *= ((1-Cancer.probabilities["HF"]) + (1-Cancer.probabilities["LF"]) + (1-Cancer.probabilities["HT"]) + (1-Cancer.probabilities["LT"]))
elif 'c' in arg:
c = 'T'
if (p=='H' and s=='T'):
product *= Cancer.probabilities["HT"]
elif (p=='H' and s=='F'):
product *= Cancer.probabilities["HF"]
elif (p=='L' and s=='T'):
product *= Cancer.probabilities["LT"]
elif (p=='L' and s=='F'):
product *= Cancer.probabilities["LF"]
elif (p=='H' and s=='N'):
product *= (Cancer.probabilities["HT"]+Cancer.probabilities["HF"])
elif (p=='L' and s=='N'):
product *= (Cancer.probabilities["LT"]+Cancer.probabilities["LF"])
elif (p=='N' and s=='T'):
product *= (Cancer.probabilities["HT"]+Cancer.probabilities["LT"])
elif (p=='N' and s=='F'):
product *= (Cancer.probabilities["HF"]+Cancer.probabilities["LF"])
elif (p=='N' and s=='N'):
product *= (Cancer.probabilities["HF"]+Cancer.probabilities["LF"]+Cancer.probabilities["HT"]+Cancer.probabilities["LT"])
if '~x' in arg:
if c=='T':
product *= (1-Xray.probabilities['True'])
elif c=='F':
product *= (1-Xray.probabilities['False'])
elif 'x' in arg:
if c=='T':
product *= Xray.probabilities['True']
elif c=='F':
product *= Xray.probabilities['False']
if '~d' in arg:
if c=='T':
product *= (1-Dyspnoea.probabilities['True'])
elif c=='F':
product *= (1-Dyspnoea.probabilities['False'])
elif 'd' in arg:
if c=='T':
product *= Dyspnoea.probabilities['True']
elif c=='F':
product *= Dyspnoea.probabilities['False']
if 'C' in arg or 'D' in arg or 'X' in arg or 'S' in arg or 'P' in arg:
arg1 = ''
if 'C' in arg:
arg1+='c'
if 'D' in arg:
arg1+='d'
if 'X' in arg:
arg1+='x'
if 'S' in arg:
arg1+='s'
if 'P' in arg:
arg1+='p'
print "Arg1:", arg1
product = JointProb(arg1)
return product
"""
Marginal Probability
"""
def MarginalProb(arg):
#Uppercase marginal: will return two numbers,
#one for y and one for ~y
if 'S' in arg:
#Sum for s
sums = 0
#First column
sums+=table[0][0]+table[0][1]+table[0][2]+table[0][3]+table[0][4]+table[0][5]+table[0][6]+table[0][7]
#Second column
sums+=table[2][0]+table[2][1]+table[2][2]+table[2][3]+table[2][4]+table[2][5]+table[2][6]+table[2][7]
#Sum for ~s
sumns = 0
#First column
sumns+=table[1][0]+table[1][1]+table[1][2]+table[1][3]+table[1][4]+table[1][5]+table[1][6]+table[1][7]
#Second column
sumns+=table[3][0]+table[3][1]+table[3][2]+table[3][3]+table[3][4]+table[3][5]+table[3][6]+table[3][7]
print "S P(s=S)"
print "T", sums
print "F", sumns
if 'P' in arg:
#Sum for p
sump = 0
#First two rows
sump+=table[0][0]+table[1][0]+table[2][0]+table[3][0]
sump+=table[0][2]+table[1][2]+table[2][2]+table[3][2]
#Second two rows
sump+=table[0][4]+table[1][4]+table[2][4]+table[3][4]
sump+=table[0][6]+table[1][6]+table[2][6]+table[3][6]
#Sum for ~p
sumnp = 0
#First two rows
sumnp+=table[0][1]+table[1][1]+table[2][1]+table[3][1]
sumnp+=table[0][3]+table[1][3]+table[2][3]+table[3][3]
#Second two rows
sumnp+=table[0][5]+table[1][5]+table[2][5]+table[3][5]
sumnp+=table[0][7]+table[1][7]+table[2][7]+table[3][7]
print "P P(p=P)"
print "T", sump
print "F", sumnp
if 'C' in arg:
#Sum for c
sumc = 0
#Four rows
sumc+=table[0][0]+table[1][0]+table[2][0]+table[3][0]
sumc+=table[0][1]+table[1][1]+table[2][1]+table[3][1]
sumc+=table[0][2]+table[1][2]+table[2][2]+table[3][2]
sumc+=table[0][3]+table[1][3]+table[2][3]+table[3][3]
#Sum for ~c
sumnc = 0
#Four rows
sumnc+=table[0][4]+table[1][4]+table[2][4]+table[3][4]
sumnc+=table[0][5]+table[1][5]+table[2][5]+table[3][5]
sumnc+=table[0][6]+table[1][6]+table[2][6]+table[3][6]
sumnc+=table[0][7]+table[1][7]+table[2][7]+table[3][7]
print "C P(c=C)"
print "T", sumc
print "F", sumnc
if 'X' in arg:
#Sum for x
sumx = 0
#First column
sumx+=table[0][0]+table[0][1]+table[0][2]+table[0][3]+table[0][4]+table[0][5]+table[0][6]+table[0][7]
#Second column
sumx+=table[1][0]+table[1][1]+table[1][2]+table[1][3]+table[1][4]+table[1][5]+table[1][6]+table[1][7]
#Sum for ~x
sumnx = 0
#First column
sumnx+=table[2][0]+table[2][1]+table[2][2]+table[2][3]+table[2][4]+table[2][5]+table[2][6]+table[2][7]
#Second column
sumnx+=table[3][0]+table[3][1]+table[3][2]+table[3][3]+table[3][4]+table[3][5]+table[3][6]+table[3][7]
print "X P(x=X)"
print "T", sumx
print "F", sumnx
if 'D' in arg:
#Sum for d
sumd = 0
#First two rows
sumd+=table[0][0]+table[1][0]+table[2][0]+table[3][0]
sumd+=table[0][1]+table[1][1]+table[2][1]+table[3][1]
#Second two rows
sumd+=table[0][4]+table[1][4]+table[2][4]+table[3][4]
sumd+=table[0][5]+table[1][5]+table[2][5]+table[3][5]
#Sum for ~d
sumnd = 0
#First two rows
sumnd+=table[0][2]+table[1][2]+table[2][2]+table[3][2]
sumnd+=table[0][3]+table[1][3]+table[2][3]+table[3][3]
#Second two rows
sumnd+=table[0][6]+table[1][6]+table[2][6]+table[3][6]
sumnd+=table[0][7]+table[1][7]+table[2][7]+table[3][7]
print "D P(d=D)"
print "T", sumd
print "F", sumnd
#Lowercase marginal; will return a single number
if '~s' in arg:
#Sum for ~s
sumns = 0
#First column
sumns+=table[1][0]+table[1][1]+table[1][2]+table[1][3]+table[1][4]+table[1][5]+table[1][6]+table[1][7]
#Second column
sumns+=table[3][0]+table[3][1]+table[3][2]+table[3][3]+table[3][4]+table[3][5]+table[3][6]+table[3][7]
print "Marginal Probability for ~s:"
print "~s=", sumns
elif 's' in arg:
#Sum for s
sums = 0
#First column
sums+=table[0][0]+table[0][1]+table[0][2]+table[0][3]+table[0][4]+table[0][5]+table[0][6]+table[0][7]
#Second column
sums+=table[2][0]+table[2][1]+table[2][2]+table[2][3]+table[2][4]+table[2][5]+table[2][6]+table[2][7]
print "Marginal Probability for s:"
print "s=", sums
if '~p' in arg:
#Sum for ~p
sumnp = 0
#First two rows
sumnp+=table[0][1]+table[1][1]+table[2][1]+table[3][1]
sumnp+=table[0][3]+table[1][3]+table[2][3]+table[3][3]
#Second two rows
sumnp+=table[0][5]+table[1][5]+table[2][5]+table[3][5]
sumnp+=table[0][7]+table[1][7]+table[2][7]+table[3][7]
print "Marginal Probability for ~p:"
print "~p=", sumnp
elif 'p' in arg:
#Sum for p
sump = 0
#First two rows
sump+=table[0][0]+table[1][0]+table[2][0]+table[3][0]
sump+=table[0][2]+table[1][2]+table[2][2]+table[3][2]
#Second two rows
sump+=table[0][4]+table[1][4]+table[2][4]+table[3][4]
sump+=table[0][6]+table[1][6]+table[2][6]+table[3][6]
print "Marginal Probability for p:"
print "p=", sump
if '~c' in arg:
#Sum for ~c
sumnc = 0
#Four rows
sumnc+=table[0][4]+table[1][4]+table[2][4]+table[3][4]
sumnc+=table[0][5]+table[1][5]+table[2][5]+table[3][5]
sumnc+=table[0][6]+table[1][6]+table[2][6]+table[3][6]
sumnc+=table[0][7]+table[1][7]+table[2][7]+table[3][7]
print "Marginal Probability for ~c:"
print "~c=", sumnc
elif 'c' in arg:
#Sum for c
sumc = 0
#Four rows
sumc+=table[0][0]+table[1][0]+table[2][0]+table[3][0]
sumc+=table[0][1]+table[1][1]+table[2][1]+table[3][1]
sumc+=table[0][2]+table[1][2]+table[2][2]+table[3][2]
sumc+=table[0][3]+table[1][3]+table[2][3]+table[3][3]
print "Marginal Probability for c:"
print "c=", sumc
if '~x' in arg:
#Sum for ~x
sumnx = 0
#First column
sumnx+=table[2][0]+table[2][1]+table[2][2]+table[2][3]+table[2][4]+table[2][5]+table[2][6]+table[2][7]
#Second column
sumnx+=table[3][0]+table[3][1]+table[3][2]+table[3][3]+table[3][4]+table[3][5]+table[3][6]+table[3][7]
print "Marginal Probability for ~x:"
print "~x=", sumnx
elif 'x' in arg:
#Sum for x
sumx = 0
#First column
sumx+=table[0][0]+table[0][1]+table[0][2]+table[0][3]+table[0][4]+table[0][5]+table[0][6]+table[0][7]
#Second column
sumx+=table[1][0]+table[1][1]+table[1][2]+table[1][3]+table[1][4]+table[1][5]+table[1][6]+table[1][7]
print "Marginal Probability for x:"
print "x=", sumx
if '~d' in arg:
#Sum for ~d
sumnd = 0
#First two rows
sumnd+=table[0][2]+table[1][2]+table[2][2]+table[3][2]
sumnd+=table[0][3]+table[1][3]+table[2][3]+table[3][3]
#Second two rows
sumnd+=table[0][6]+table[1][6]+table[2][6]+table[3][6]
sumnd+=table[0][7]+table[1][7]+table[2][7]+table[3][7]
print "Marginal Probability for ~d:"
print "~d=", sumnd
elif 'd' in arg:
#Sum for d
sumd = 0
#First two rows
sumd+=table[0][0]+table[1][0]+table[2][0]+table[3][0]
sumd+=table[0][1]+table[1][1]+table[2][1]+table[3][1]
#Second two rows
sumd+=table[0][4]+table[1][4]+table[2][4]+table[3][4]
sumd+=table[0][5]+table[1][5]+table[2][5]+table[3][5]
print "Marginal Probability for d:"
print "d=", sumd
"""
Create the nodes in the Bayes Net
"""
Pollution = node.make_node("N", .9)
Smoker = node.make_node("N", .3)
dictc = {'HT': .05, 'HF': .02, 'LT': .03, 'LF': .001}
Cancer = node.make_node(("P","S"), dictc)
dictx = {'True': .9, 'False': .2}
Xray = node.make_node("C", dictx)
dictd = {'True': .65, 'False': .3}
Dyspnoea = node.make_node("C", dictd)
"""
Table Creation
"""
table = [[0 for x in xrange(8)] for x in xrange(4)]
table[0][0] = JointProb("spdxc")
table[1][0] = JointProb("~spdxc")
table[2][0] = JointProb("spd~xc")
table[3][0] = JointProb("~spd~xc")
table[0][1] = JointProb("s~pdxc")
table[1][1] = JointProb("~s~pdxc")
table[2][1] = JointProb("s~pd~xc")
table[3][1] = JointProb("~s~pd~xc")
table[0][2] = JointProb("sp~dxc")
table[1][2] = JointProb("~sp~dxc")
table[2][2] = JointProb("sp~d~xc")
table[3][2] = JointProb("~sp~d~xc")
table[0][3] = JointProb("s~p~dxc")
table[1][3] = JointProb("~s~p~dxc")
table[2][3] = JointProb("s~p~d~xc")
table[3][3] = JointProb("~s~p~d~xc")
table[0][4] = JointProb("spdx~c")
table[1][4] = JointProb("~spdx~c")
table[2][4] = JointProb("spd~x~c")
table[3][4] = JointProb("~spd~x~c")
table[0][5] = JointProb("s~pdx~c")
table[1][5] = JointProb("~s~pdx~c")
table[2][5] = JointProb("s~pd~x~c")
table[3][5] = JointProb("~s~pd~x~c")
table[0][6] = JointProb("sp~dx~c")
table[1][6] = JointProb("~sp~dx~c")
table[2][6] = JointProb("sp~d~x~c")
table[3][6] = JointProb("~sp~d~x~c")
table[0][7] = JointProb("s~p~dx~c")
table[1][7] = JointProb("~s~p~dx~c")
table[2][7] = JointProb("s~p~d~x~c")
table[3][7] = JointProb("~s~p~d~x~c")
#debug only, REMOVE for deployment
#for i in range(8):
# for j in range(4):
# sys.stdout.write(str(table[j][i]))
# sys.stdout.write(" ")
# print " "
option = ''
#print 'ARGV :', sys.argv[1:] #debug only, REMOVE for deployment
options, remainder = getopt.getopt(sys.argv[1:], 'g:j:m:',
['conditional',
'joint',
'marginal'])
#print 'OPTIONS :', options #debug only, REMOVE for deployment
for opt, arg in options:
if opt in ('-g'):
option = arg
ConditionalProb(arg)
#print "Val: ", ConditionalProb(arg) #text is for debug only, REMOVE for deployment
elif opt in ('-j'):
option = arg
print JointProb(arg) #text is for debug only, REMOVE for deployment
elif opt in ('-m'):
option = arg
MarginalProb(arg)
#debug only, REMOVE for deployment
#print 'REMAINING :', remainder #everything else/unexpected
#print 'OPTION :', option #options to the flag