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Most of this function is concerned with formatting the modes list into the modeline string If there are no modes, the mode line is not printed at all If there is one mode, the mode list has just one item (mode[0]) which is printed using the same format as is used for the other statistics If there are several modes, we print them as a list with each one formatted appropriately This is done by using a list comprehension to produce a list of mode strings, and then joining all the strings in the list together with , in between each one The printing at the end is easy thanks to our use of a named tuple and its _asdict() method, in conjunction with mapping unpacking This lets us access the statistics in the statistics object using names rather than numeric indexes, and thanks to Python s triple-quoted strings we can lay out the text to be printed in an understandable way Recall that if we use mapping unpacking to pass arguments to the strformat() method, it may be done only once and only at the end There is one subtle point to note The modes are printed as format item {1}, which is followed by a backslash The backslash escapes the newline, so if the mode is the empty string no blank line will appear And it is because we have escaped the newline that we must put \n at the end of the modeline string if it is not empty

getter method by the @property decorator The other two are set up by Python so that they do nothing (so the attribute cannot be written to or deleted), unless they are used as decorators, in which case they in effect replace themselves with the method they are used to decorate The Circle s initializer, Circle__init__(), includes the statement selfradius = radius; this will call the radius property s setter, so if an invalid radius is given when a Circle is created an AssertionError exception will be raised Similarly, if an attempt is made to set an existing Circle s radius to an invalid value, again the setter will be called and an exception raised The docstring includes doctests to test that the exception is correctly raised in these cases (Testing is covered more fully in 9) Both the Point and Circle types are custom data types that have suf cient functionality to be useful Most of the data types that we are likely to create are like this, but occasionally it is necessary to create a custom data type that is complete in every respect We will see examples of this in the next subsection

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When creating a complete data type two possibilities are open to us One is to create the data type from scratch Although the data type will inherit object (as all Python classes do), every data attribute and method that the data type requires (apart from __new__()) must be provided The other possibility is to inherit from an existing data type that is similar to the one we want to create In this case the work usually involves reimplementing those methods we want to behave differently and unimplementing those methods we don t want at all In the following subsubsection we will implement a FuzzyBool data type from scratch, and in the subsubsection after that we will implement the same type but will use inheritance to reduce the work we must do The built-in bool type is two-valued (True and False), but in some areas of AI (Arti cial Intelligence), fuzzy Booleans are used, which have values corresponding to true and false , and also to intermediates between them In our implementations we will use oating-point values with 00 denoting False and 10 denoting True In this system, 05 means 50 percent true, and 025 means 25 percent true, and so on Here are some usage examples (they work the same with either implementation):

The binding does not support transport-level security This means that SSL/TLS encryption is not possible using the binding The following code shows the addressing formats for the binding

To prevent data loss, a MIDlet is responsible for all I/O operations on the connection from the time it calls the Connectoropen method until it closes the connection Application developers should avoid closing the connection too early If the connection is closed but the MIDlet is still running, neither the AMS nor the application will be listening for push notifications Inbound data could be lost if the application closes the connection before all data has been received

# returns: True # returns: (True, False) # returns: FuzzyBool(0125)

a & b b |= FuzzyBoolFuzzyBool(5) "a={0:1%} b={1:0%}"format(a, b) # returns: FuzzyBool(025) # b is now: FuzzyBool(05) # returns: 'a=875% b=50%'

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