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equal to, >= greater than or equal to, and > greater than These operators compare object values, that is, the objects that the object references used in the comparison refer to Here are a few examples typed into a Python Shell:

>>> a = 2 >>> b = 6 >>> a == b False >>> a < b True >>> a <= b, a != b, a >= b, a > b (True, True, False, False)

Figure 54 Output from singleton:

Everything is as we would expect with integers Similarly, strings appear to compare properly too:

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Although a and b are different objects (have different identities), they have the same values, so they compare equal Be aware, though, that because Python uses Unicode for representing strings, comparing strings that contain non-ASCII characters can be a lot subtler and more complicated than it might at rst appear we will fully discuss this issue in 2 In some cases, comparing the identity of two strings or numbers for example, using a is b will return True, even if each has been assigned separately as we did here This is because some implementations of Python will reuse the same object (since the value is the same and is immutable) for the sake of ef ciency The moral of this is to use == and != when comparing values, and to use is and is not only when comparing with None or when we really do want to see if two object references, rather than their values, are the same One particularly nice feature of Python s comparison operators is that they can be chained For example:

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In 8 we will see a completely different approach to providing attribute access, using special methods such as __getattr__() and __setattr__(), that is useful in some circumstances

Concurrency and Instancing (Ser vice Behavior)

@property def colors(self): return set(self__colors)

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When returning a data attribute from an object we need to be aware of whether the attribute is of an immutable or mutable type It is always safe to return immutable attributes since they can t be changed, but for mutable attributes we must consider some trade-offs Returning a reference to a mutable attribute is very fast and ef cient because no copying takes place but it also means that the caller now has access to the object s internal state and might change it in a way that invalidates the object One policy to consider is to always return a copy of mutable data attributes, unless pro ling shows a signi cant negative effect on performance (In this case, an alternative to keeping the set of unique colors would be to return set(self__datavalues()) | {self__background} whenever the set of colors was needed; we will return to this theme shortly)

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def __getitem__(self, coordinate): assert len(coordinate) == 2, "coordinate should be a 2-tuple" if (not (0 <= coordinate[0] < selfwidth) or not (0 <= coordinate[1] < selfheight)): raise CoordinateError(str(coordinate)) return self__dataget(tuple(coordinate), self__background)

Session-Level Instances Sessions are widely used for maintaining per-user state in distributed applications On Web sites or in Web-based applications, it s common to store per-user state in sessions In these cases, there s a 1:1 correspondence between users and sessions WCF supports a similar concept with services setting, WCF can be directed Using the to create an instance of a service for each session

This method returns the color for a given coordinate using the item access operator ([]) The special methods for the item access operators and some other collection-relevant special methods are listed in Table 64 We have chosen to apply two policies for item access The rst policy is that a precondition for using an item access method is that the coordinate it is passed is a sequence of length 2 (usually a 2-tuple), and we use an assertion to ensure this The second policy is that any coordinate values are accepted, but if either is out of range, we raise a custom exception We have used the dictget() method with a default value of the background color to retrieve the color for the given coordinate This ensures that if the color has never been set for the coordinate the background color is correctly returned instead of a KeyError exception being raised

Special Method __contains__(self, x) __delitem__(self, k) __getitem__(self, k) __iter__(self) __len__(self) __reversed__(self)

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