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Using good names for a function and its parameters goes a long way toward making the purpose and use of the function clear to other programmers and to ourselves some time after we have created the function Here are a few rules of thumb that you might like to consider Use a naming scheme, and use it consistently In this book we use UPPERCASE for constants, TitleCase for classes (including exceptions), camelCase for GUI (Graphical User Interface) functions and methods (covered in 15), and lowercase or lowercase_with_underscores for everything else For all names, avoid abbreviations, unless they are both standardized and widely used Be proportional with variable and parameter names: x is a perfectly good name for an x-coordinate and i is ne for a loop counter, but in general the name should be long enough to be descriptive The name should describe the data s meaning rather than its type (eg, amount_due rather than money), unless the use is generic to a particular type see, for example, the text parameter in the shorten() example ( 177) Functions and methods should have names that say what they do or what they return (depending on their emphasis), but never how they do it since that might change Here are a few naming examples:

Table 181 APIs for which untrusted MIDlet suites require confirmation API javaxmicroeditionioHttpConnection javaxmicroeditionioHttpsConnection [ Team LiB ] Protocol HTTP HTTPS

def find(l, s, i=0): def linear_search(l, s, i=0): def first_index_of(sorted_name_list, name, start=0): # BAD # BAD # GOOD

The con guration information shown in Listing 426 exposes the service using the binding It contract so also con gures a client endpoint for the that responses can be sent to the client

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All three functions return the index position of the rst occurrence of a name in a list of names, starting from the given starting index and using an algorithm that assumes the list is already sorted The rst one is bad because the name gives no clue as to what will be found, and its parameters (presumably) indicate the required types (list, string, integer) without indicating what they mean The second one is bad because the function name describes the algorithm originally used it might have been changed since This may not matter to users of the function, but it will probably confuse maintainers if the name implies a linear search, but the algorithm implemented has been changed to a binary search The third one is good be-

cause the function name says what is returned, and the parameter names clearly indicate what is expected None of the functions have any way of indicating what happens if the name isn t found do they return, say, -1, or do they raise an exception Somehow such information needs to be documented for users of the function We can add documentation to any function by using a docstring this is simply a string that comes immediately after the def line, and before the function s code proper begins For example, here is the shorten() function we saw earlier, but this time reproduced in full:

def shorten(text, length=25, indicator=""): """Returns text or a truncated copy with the indicator added text is any string; length is the maximum length of the returned string (including any indicator); indicator is the string added at the end to indicate that the text has been shortened >>> shorten("Second Variety") 'Second Variety' >>> shorten("Voices from the Street", 17) 'Voices from th' >>> shorten("Radio Free Albemuth", 10, "*") 'Radio Fre*' """ if len(text) > length: text = text[:length - len(indicator)] + indicator return text

[ Team LiB ]

Note that the WF runtime is completely embedded in a single WCF service instance and is responsible for work ow instances and persistence In other words, if 50 instances of a work ow are running, messages sent to all work ows ow into a single work ow runtime The work ow runtime has its own internal mechanism for correlating and queuing messages to work ow instances The Instance ID stored in the context, in conjunction with the Durable Instance Provider, is used to ensure that the work ow runtime has the right instance in memory

It is not unusual for a function or method s documentation to be longer than the function itself One convention is to make the rst line of the docstring a brief one-line description, then have a blank line followed by a full description, and then to reproduce some examples as they would appear if typed in interactively In 5 and 9 we will see how examples in function documentation can be used to provide unit tests

We saw in the previous chapter that we can use the sequence unpacking operator (*) to supply positional arguments For example, if we wanted to compute the area of a triangle and had the lengths of the sides in a list, we could make the call like this, heron(sides[0], sides[1], sides[2]), or simply unpack the list and do the much simpler call, heron(*sides) And if the list (or other sequence) has more items than the function has parameters, we can use slicing to extract exactly the right number of arguments

We can also use the sequence unpacking operator in a function s parameter list This is useful when we want to create functions that can take a variable number of positional arguments Here is a product() function that computes the product of the arguments it is given:

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