#format python

# Python NeuralNetwork sample for andgate. 
# See andgate.py

>>> def f(x1,x2,w1,w2):
	return x1*w1 + x2*w2

>>> thres = 0.5
>>> w1 = 0.3
>>> w2 = -0.2
>>> x1,x1 = 0,0
>>> 
>>> f(x1,x2,w1,w2)
Traceback (most recent call last):
  File "<pyshell#8>", line 1, in f(x1,x2,w1,w2)
NameError: name 'x2' is not defined
>>> x1,x1 = 0,0
>>> x1,x2 = 0,0
>>> f(x1,x2,w1,w2)
0.0
>>> x1,x2 = 0,1
>>> f(x1,x2,w1,w2)
-0.20000000000000001
>>> isOver=lambda x1,x2,w1,w2:f(x1,x2,w1,w2)>thres
>>> isOver(x1,x2,w1,w2)
0
>>> result=isOver
>>> result(x1,x2,w1,w2)
0
>>> expected=0
>>> isSame=lambda x1,x2,w1,w2,expected:result(x1,x2,w1,w2)==expected
>>> isSame(x1,x2,w1,w2,0)
1
>>> x1,x2=1,0
>>> isSame(x1,x2,w1,w2,0)
1
>>> x1,x2=1,1
>>> isSame(x1,x2,w1,w2,1)
0
>>> result(x1,x2,w1,w2)
0
>>> f(x1,x2,w1,w2)
0.099999999999999978
>>> f(x1,x2,w1+w1delta,w2+w2delta)
Traceback (most recent call last):
  File "<pyshell#27>", line 1, in f(x1,x2,w1+w1delta,w2+w2delta)
NameError: name 'w1delta' is not defined
>>> w1delta,w2delta=0.2,0.2
>>> f(x1,x2,w1+w1delta,w2+w2delta)
0.5
>>> w1delta,w2delta=0.3,0.3
>>> f(x1,x2,w1+w1delta,w2+w2delta)
0.69999999999999996
>>> isSame(x1,x2,w1+w1delta,w2+w2delta,1)
1
>>> x1,x2=0,0
>>> w1prime=w1+w1delta
>>> w2prime=w2+w2delta
>>> isSame(x1,x2,w1prime,w2prime,0)
1
>>> x1,x2=0,1
>>> isSame(x1,x2,w1prime,w2prime,0)
1
>>> isSame(1,0,w1prime,w2prime,0)
0
>>> f(1,0,w1prime,w2prime)
0.59999999999999998
>>> 
>>> 
>>> import andgate
>>> andgate.printGenerations()
0.0
-0.2
0.3
0.1
>>> reload(andgate)
<module 'andgate' from 'C:\PYTHON22\andgate.py'>
>>> andgate.printGenerations()
(0,0) : 0.000000
(0,1) : -0.200000
(1,0) : 0.300000
(1,1) : 0.100000
>>> reload(andgate)
<module 'andgate' from 'C:\PYTHON22\andgate.py'>
>>> andgate.printGenerations()
Traceback (most recent call last):
  File "<pyshell#48>", line 1, in andgate.printGenerations()
TypeError: printGenerations() takes exactly 2 arguments (0 given)
>>> andgate.printGenerations(0.3,-0.2)
(0,0) : 0.000000
(0,1) : -0.200000
(1,0) : 0.300000
(1,1) : 0.100000
>>> andgate.printGenerations(0.4,-0.1)
(0,0) : 0.000000
(0,1) : -0.100000
(1,0) : 0.400000
(1,1) : 0.300000
>>> andgate.printGenerations(0.5,0)
(0,0) : 0.000000
(0,1) : 0.000000
(1,0) : 0.500000
(1,1) : 0.500000
>>> andgate.printGenerations(0.6,0.1)
(0,0) : 0.000000
(0,1) : 0.100000
(1,0) : 0.600000
(1,1) : 0.700000
>>> andgate.printGenerations(0.55,0.05)
(0,0) : 0.000000
(0,1) : 0.050000
(1,0) : 0.550000
(1,1) : 0.600000
>>> andgate.printGenerations(0.4,0.2)
(0,0) : 0.000000
(0,1) : 0.200000
(1,0) : 0.400000
(1,1) : 0.600000
>>> andgate.printGenerations(0.4,-0.1)
(0,0) : 0.000000
(0,1) : -0.100000
(1,0) : 0.400000
(1,1) : 0.300000
>>> andgate.printGenerations(0.5,0)
(0,0) : 0.000000
(0,1) : 0.000000
(1,0) : 0.500000
(1,1) : 0.500000
>>> andgate.printGenerations(0.6,0.1)
(0,0) : 0.000000
(0,1) : 0.100000
(1,0) : 0.600000
(1,1) : 0.700000
>>> andgate.printGenerations(0.5,0.1)
(0,0) : 0.000000
(0,1) : 0.100000
(1,0) : 0.500000
(1,1) : 0.600000
>>> 
>>> reload(andgate)
<module 'andgate' from 'C:\PYTHON22\andgate.py'>
>>> andgate.adjust(1,1,0.3,-0.2,1)
(0.39000000000000001, -0.11)
>>> andgate.printGenerations(0.39,-0.11)
(0,0) : 0.000000
(0,1) : -0.110000
(1,0) : 0.390000
(1,1) : 0.280000
>>> andgate.adjust(1,1,0.39,-0.11,1)
(0.46200000000000002, -0.038000000000000006)
>>> andgate.printGenerations(0.462,-0.038)
(0,0) : 0.000000
(0,1) : -0.038000
(1,0) : 0.462000
(1,1) : 0.424000
>>> andgate.adjust(1,1,0.462,-0.038,1)
(0.51960000000000006, 0.019599999999999999)
>>> andgate.printGenerations(0.5196,0.0196)
(0,0) : 0.000000
(0,1) : 0.019600
(1,0) : 0.519600
(1,1) : 0.539200
>>> andgate.adjust(1,0,0.5196,0.0196,0)
(0.46763999999999994, 0.019599999999999999)
>>> andgate.printGenerations(0.4676,0.0196)
(0,0) : 0.000000
(0,1) : 0.019600
(1,0) : 0.467600
(1,1) : 0.487200
>>> andgate.adjust(1,1,0.4676,0.0196,1)
(0.51888000000000001, 0.070879999999999999)
>>> andgate.printGenerations(0.5188,0.07088)
(0,0) : 0.000000
(0,1) : 0.070880
(1,0) : 0.518800
(1,1) : 0.589680
>>> andgate.adjust(1,0,0.5188,0.07088,0)
(0.46692, 0.070879999999999999)
>>> andgate.printGenerations(0.46692,0.07088)
(0,0) : 0.000000
(0,1) : 0.070880
(1,0) : 0.466920
(1,1) : 0.537800