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What happens if a function receives arguments with invalid data What happens if we make a mistake in the implementation of an algorithm and perform an incorrect computation The worst thing that can happen is that the program executes without any (apparent) problem and no one is any the wiser One way to help avoid such insidious problems is to write tests something we will brie y look at in 5 Another way is to state the preconditions and postconditions and to indicate an error if any of these are not met Ideally, we should use tests and also state preconditions and postconditions

Preconditions and postconditions can be speci ed using assert statements, which have the syntax:

Listing 435 shows the client con guration to consume the service using binding shown in Listing 434 the

The signer of a MIDlet suite might be the developer or an entity responsible for distributing, supporting, and perhaps billing for the use of the MIDlet suite The signer is responsible for ensuring that the MIDlet suite's applications are not malicious and will not harm assets or capabilities The signer must exercise due-diligence in checking the MIDlet suite before signing it

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If the boolean_expression evaluates to False an AssertionError exception is raised If the optional optional_expression is given, it is used as the argument to the AssertionError exception this is useful for providing error messages Note, though, that assertions are designed for developers, not end-users Problems that occur in normal program use such as missing les or invalid command-line arguments should be handled by other means, such as providing an error or log message Here are two new versions of the product() function Both versions are equivalent in that they require that all the arguments passed to them are nonzero, and consider a call with a 0 argument to be a coding error

def product(*args): # pessimistic assert all(args), "0 argument" result = 1 for arg in args: result *= arg return result def product(*args): # optimistic result = 1 for arg in args: result *= arg assert result, "0 argument" return result

The pessimistic version on the left checks all the arguments (or up to the rst 0 argument) on every call The optimistic version on the right just checks the result; after all, if any argument was 0, then the result will be 0 If one of these product() functions is called with a 0 argument an AssertionError exception will be raised, and output similar to the following will be written to the error stream (sysstderr, usually the console):

User-Defined Bindings Bindings can be de ned fully in code or con guration or they can be creclass This type of binding is called a ated by inheriting from the user-de ned binding You still need to specify the binding elements that your binding supports The primary difference between a custom binding and a user-de ned binding is that a user-de ned binding is a speci c instance of a class that performs all the steps needed to create your binding This approach is preferred if you plan to reuse the binding in a number of applications If you choose this approach, the authors recommend that user-de ned bindings support the capability to be created from con guration using a binding extension A binding extension exposes a binding class through con guration This is done by creating a new class that inherits from found in the namespace

The signer must have a private and public key pair The signer uses the private key to sign the MIDlet suite, and

Traceback (most recent call last): File "programpy", line 456, in <module> x = product(1, 2, 0, 4, 8) File "programpy", line 452, in product assert result, "0 argument" AssertionError: 0 argument

Python automatically provides a traceback that gives the lename, function, and line number, as well as the error message we speci ed Once a program is ready for public release (and of course passes all its tests and does not violate any assertions), what do we do about the assert statements We can tell Python not to execute assert statements in effect, to throw them away at runtime This can be done by running the program at the command line with the -O option, for example, python -O programpy Another approach is to set the PYTHONOPTIMIZE environment variable to O If the docstrings are of

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