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>>> print_params(1, 2, 3) (1, 2, 3) The star in front of the parameter puts all the values into the same tuple. It gathers them up, so to speak. I wonder if we can combine this with ordinary parameters . . . Let s write another function and see: def print_params_2(title, *params): print title print params Let s try it: >>> print_params_2('Params:', 1, 2, 3) Params: (1, 2, 3) It works! So the star means Gather up the rest of the positional parameters. I bet if I don t give any parameters to gather, params will be an empty tuple: >>> print_params_2('Nothing:') Nothing: () Indeed. How useful. Does it handle keyword arguments (the same as parameters), too >>> print_params_2('Hmm...', something=42) Traceback (most recent call last): File "<pyshell#60>", line 1, in print_params_2('Hmm...', something=42) TypeError: print_params_2() got an unexpected keyword argument 'something' Doesn t look like it. So we probably need another gathering operator for keyword arguments. What do you think that might be Perhaps ** def print_params_3(**params): print params At least the interpreter doesn t complain about the function. Let s try to call it: >>> print_params_3(x=1, y=2, z=3) {'z': 3, 'x': 1, 'y': 2} Yep. We get a dictionary rather than a tuple. Let s put them all together: def print_params_4(x, y, z=3, *pospar, **keypar): print x, y, z print pospar print keypar This works just like expected: >>> print_params_4(1, 2, 3, 5, 6, 7, foo=1, bar=2) 1 2 3

<target name="generate-docs" description="Generates all documentation"> <target-banner target="generate-docs"/> <generate-javadoc class.path="class.path" dest="${docs-api}" source.path="all.source.path" year="2005" /> </target> <target name="generate-docs-clean"> <delete dir="${docs}" /> </target> It is easy to see how much cleaner your main buildfile can become by using macrodefs effectively. For the rest of the chapter we will use the same technique to continue enhancing the build with other functionality.

WORKER_TYPE_T.worker_type_id%TYPE, out WORKER_TYPE_T.code%TYPE, out WORKER_TYPE_T.description%TYPE ) is

begin select code, description into aov_code, aov_description from WORKER_TYPE_T where worker_type_id = ain_worker_type_id; end get_code_descr; Once again, after this method is written and in use, one and only one SQL statement need ever be written to retrieve a code and description for a specified code ID value. Similar functions can be written to get just the code value or description value, and they would be appropriately named get_code() and get_descr().

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(5, 6, 7) {'foo': 1, 'bar': 2} >>> print_params_4(1, 2) 1 2 3 () {} By combining all these techniques, you can do quite a lot. If you wonder how some combination might work (or whether it s allowed), just try it! (In the next section, you see how * and ** can be used at the point of call as well, regardless of whether they were used in the function definition.) Now, back to the original problem: how you can use this in the name-storing example. The solution is shown here: def store(data, *full_names): for full_name in full_names: names = full_name.split() if len(names) == 2: names.insert(1, '') labels = 'first', 'middle', 'last' for label, name in zip(labels, names): people = lookup(data, label, name) if people: people.append(full_name) else: data[label][name] = [full_name] Using this function is just as easy as using the previous version, which only accepted one name: >>> d = {} >>> init(d) >>> store(d, 'Han Solo') But now you can also do this: >>> store(d, 'Luke Skywalker', 'Anakin Skywalker') >>> lookup(d, 'last', 'Skywalker') ['Luke Skywalker', 'Anakin Skywalker']