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ion using plain classes is wonderful and all, but it’s even better if your code seems to naturally fit into the syntax of the language. Python supports a variety of underscore methods methods that start and end with double “_” signs that let you overload the behaviour of your objects. This means that your objects will seem to integrate more tightly with the language itself. With the underscore methods, you can give you objects behaviour for logical and mathematical operations. You can even make your objects behave more like standard builtin types like lists, sets or dictionaries. from __future__ import with_statement from contextlib import closing with closing(open(‘simplefile’,’w’)) as fout: fout.writelines([“blah”]) with closing(open(‘simplefile’,’r’)) as fin: print fin.readlines() The above snippet of code just opens a file, writes a little bit of text and then we just read the contents out. Not terriblly exciting. Most objects in Python are serializable to strings using the pickle module. We can leverage pickle to write out full blown objects to disk. Let’s see the functional version of this: from __future__ import with_statement from contextlib import closing from pickle import dumps, loads def write_object(fout, obj): data = dumps(obj) fout.write("%020d" % len(data)) fout.write(data) def read_object(fin): length = int(fin.read(20)) obj = loads(fin.read(length)) return obj class Simple(object): def __init__(self, value): self.value = value def __unicode__(self): return "Simple[%s]" % self.value (continues on next page) 5.6. Chapter 6: Object Oriented Jython 107 The Definitive Guide to Jython, Release latest (continued from previous page) with closing(open('simplefile','wb')) as fout: for i in range(10): obj = Simple(i) write_object(fout, obj) print "Loading objects from disk!" print '=' * 20 with closing(open('simplefile','rb')) as fin: for i in range(10): print read_object(fin) This should output something like this: Loading objects from disk!  Simple[0] Simple[1] Simple[2] Simple[3] Simple[4] Simple[5] Simple[6] Simple[7] Simple[8] Simple[9] So now we’re doing something interesting. Let’s look at exactly what happening here. First, you’ll notice that the Simple object is rendering a nice the Simple object can render itself using the __unicode__ method. This is clearly an improvement over the earlier rendering of the object with angle brackets and a hex code. The write_object function is fairly straight forward, we’re just converting our objects into strings using the pickle module, computing the length of the string and then writing the length and the actual serialized object to disk. This is fine, but the read side is a bit clunky. We don’t really know when to stop reading. We can fix this using the iteration protocol. Which bring us to one of my favourite reasons to use objects at all in Python.

The Definitive Guide To Jython