Change theano bitwise_and identity from -1 to 1 & fix division error in py3.4

doc/library/tensor/fft.txt

@@ -34,7 +34,7 @@ oscillates due to the box function being shifted to the middle of the array.
 
     N = 1024
     box = np.zeros((1, N), dtype='float64')
-    box[:, N/2-10: N/2+10] = 1
+    box[:, N//2-10: N//2+10] = 1
 
     out = f_rfft(box)
     c_out = np.asarray(out[0, :, 0] + 1j*out[0, :, 1])

theano/scalar/basic.py

@@ -1543,7 +1543,7 @@ xor = XOR()
 
 
 class AND(BinaryBitOp):
-    identity = 1
+    identity = -1
     commutative = True
     associative = True
     nfunc_spec = ('bitwise_and', 2, 1)
@@ -1555,6 +1555,9 @@ class AND(BinaryBitOp):
         (x, y) = inputs
         (z,) = outputs
         return "%(z)s = (%(x)s & %(y)s);" % locals()
+
+    def c_code_cache_version(self):
+        return (2,)
 and_ = AND()