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In the preceding chapter we created some iterator methods using yield expressions Here are two equivalent code snippets that show how a simple for in loop containing a yield expression can be coded as a generator:

A key goal of the JTWI Specification is to minimize the fragmentation of the Java APIs in the mobile handset market

def items_in_key_order(d): for key in sorted(d): yield key, d[key] def items_in_key_order(d): return ((key, d[key]) for key in sorted(d))

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XML attributes are not possible using the The does offer limited control of the XML by allowing attribthe names of XML elements to be speci ed using the is essentially the same as the ute The but with support for sharing type information This is the only serializer where you can commeans that the pletely control output of serialization Listing 632 shows a schema for the class using XML attributes

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Both functions return a generator that produces a list of key value items for the given dictionary If we need all the items in one go we can pass the generator returned by the functions to list() or tuple(); otherwise, we can iterate over the generator to retrieve items as we need them Generators provide a means of performing lazy evaluation, which means that they compute only the values that are actually needed This can be more ef cient than, say, computing a very large list in one go Some generators produce as many values as we ask for without any upper limit For example:

This function will return 00, 025, 05, and so on, forever Here is how we could use the generator:

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The break statement is essential without it the for in loop will never nish At the end the result list is [00, 025, 05, 075, 10] Every time we call quarters() we get back a generator that starts at 00 and increments by 025; but what if we want to reset the generator s current value It is possible to pass a value into a generator, as this new version of the generator function shows:

Custom XmlSerialization Using Attributes You can shape the XML output using the in two ways The rst and most direct approach is to use the attributes provided in the NET

def quarters(next_quarter=00): while True:

received = (yield next_quarter) if received is None: next_quarter += 025 else: next_quarter = received

The yield expression returns each value to the caller in turn In addition, if the caller calls the generator s send() method, the value sent is received in the generator function as the result of the yield expression Here is how we can use the new generator function:

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Framework under the namespace to instruct how to shape the XML output By default, the the will output public elds and public read/write properties as XML elements These can be changed to XML attributes by attributing attribute Also, the is an optthem with the will serialize public out serialization model By default the elds and public read/write properties unless instructed not to do so with attribute Additional attributes, such as the , the , , and attributes, help instruct the how to serialize types

result = [] generator = quarters() while len(result) < 5: x = next(generator) if abs(x - 05) < sysfloat_infoepsilon: x = generatorsend(10) resultappend(x)

We create a variable to refer to the generator and call the built-in next() function which retrieves the next item from the generator it is given (The same effect can be achieved by calling the generator s __next__() special method, in this case, x = generator__next__()) If the value is equal to 05 we send the value 10 into the generator (which immediately yields this value back) This time the result list is [00, 025, 10, 125, 15] In the next subsection we will review the magic-numberspy program which processes les given on the command line Unfortunately, the Windows shell program (cmdexe) does not provide wildcard expansion (also called le globbing), so if a program is run on Windows with the argument **, the literal text ** will go into the sysargv list instead of all the les in the current directory We solve this problem by creating two different get_files() functions, one for Windows and the other for Unix, both of which use generators Here s the code:

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