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This is the difference between an immutable object (as Python numbers are) and a mutable object (as Numpy matrices are). When you perform an operation on an immutable object, a new copy is made, and your variable is updated to refer to the new copy: x = 0 ... x = 7 First a '0' object is created, and 'x' is set to refer to it. Then a '7' is created, and '...


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A sentinel and a defaulted arg is a good way to do it. I would use an arbitrary object though, not a list (preference, and this way someone won't go about fiddling with it). class A(object): _DEFAULT = object() def __init__(self): self._size = 0 def sizeC(self, arg=_DEFAULT): if arg is not DEFAULT: self._size = arg ...


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I'm basing this off of the Algorithms section of the paper, which is kind of hard to understand, so I would appreciate someone else checking this. Also, I hope you're doing this for fun and not planning on using this for real cryptography without thorough analysis by professionals and academics, The public Boolean function (13) is a series of clauses ANDed ...



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