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The general goal of the J2ME standardization efforts discussed in this book is to define a highly portable, secure, small-footprint application development environment for resource-constrained, connected devices We emphasize the term application development environment The CLDC and MIDP standards are not intended to replace existing system software stacks or to serve as a complete operating system for small devices Rather, the goal of these efforts is to define an environment that can be added flexibly on top of an existing system software stack to support third-party application development and secure, dynamic downloading of applications

At the beginning of this chapter we mentioned that there are two steps in WCF to prepare an object for transmission over a network The rst step is serialization, which takes an object graph and transforms it into an XML Infoset The second step is encoding, which takes an XML Infoset and transforms it into a set of bytes that can be sent across a network WCF provides

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We must use proper indentation after all, the quoted code is standard Python (Although in this case we could have written it all on a single line because the suite is just one line) If exec() is called with some code as its only argument there is no way to access any functions or variables that are created as a result of the code being executed Furthermore, exec() cannot access any imported modules or any of the variables, functions, or other objects that are in scope at the point of the call Both of these problems can be solved by passing a dictionary as the second argument The dictionary provides a place where object references can be kept for accessing after the exec() call has nished For example, the use of the context dictionary means that after the exec() call, the dictionary has an object reference to the area_of_sphere() function that was created by exec() In this example we needed exec() to be able to access the math module, so we inserted an item into the context dictionary whose key is the module s name and whose value is an object reference to the corresponding module object This ensures that inside the exec() call, mathpi is accessible In some cases it is convenient to provide the entire global context to exec() This can be done by passing the dictionary returned by the globals() function One disadvantage of this approach is that any objects created in the exec() call would be added to the global dictionary A solution is to copy the global context into a dictionary, for example, context = globals()copy() This still gives exec() access to imported modules and the variables and other objects that are in scope, and because we have copied, any changes to the context made inside the exec() call are kept in the context dictionary and are not propagated to the global environment (It would appear to be more secure to use copydeepcopy(), but if security is a concern it is best to avoid exec() altogether) We can also pass the local context, for example, by passing locals() as a third argument this makes objects in the local scope accessible to the code executed by exec().

After the exec() call the context dictionary contains a key called "area_of_ sphere" whose value is the area_of_sphere() function Here is how we can access and call the function:

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The CLDC and MIDP standardization efforts have slightly different but complementary goals Connected, Limited Device Configuration is intended to serve as a generic, "lowest common denominator" platform that targets all kinds of small, connected devices ndependent of any specific device category Mobile Information Device Profile builds on top of CLDC and focuses on a specific category of devices: wireless, mobile, two-way communication devices such as cellular telephones and two-way pagers

The area_of_sphere object is an object reference to the function we have dynamically created and can be used just like any other function And although we created only a single function in the exec() call, unlike eval(), which can operate on only a single expression, exec() can handle as many Python statements as we like, including entire modules, as we will see in the next subsubsection

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