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function is called with the name productid , the StockItem class gains the attribute __productid which holds the product ID s value, and the descriptor productid attribute which is used to access the value For example, if we create an item using item = StockItem("TV", "TVA4312", "Electrical", 500, 1), we can get the product ID using itemproductid and set it using, for example, itemproductid = "TVB2100" The getter function created by the decorator simply uses the global getattr() function to return the value of the private data attribute The setter function incorporates the validation, and at the end, uses setattr() to set the private data attribute to the new (and valid) value In fact, the private data attribute is only created the rst time it is set Once the getter and setter functions have been created we use setattr() once again, this time to create a new class attribute with the given name (eg, productid), and with its value set to be a descriptor of type GenericDescriptor At the end, the decorator function returns the modi ed class, and the valid_string() function returns the decorator function The valid_number() function is structurally identical to the valid_string() function, only differing in the arguments it accepts and in the validation code in the setter, so we won t show it here (The complete source code is in the Validpy module) The last thing we need to cover is the GenericDescriptor, and that turns out to be the easiest part:

class GenericDescriptor: def __init__(self, getter, setter): selfgetter = getter selfsetter = setter def __get__(self, instance, owner=None): if instance is None: return self return selfgetter(instance) def __set__(self, instance, value): return selfsetter(instance, value)

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The first step of the method is to compute the size of the segment of the array to be sorted If the size of the problem is too small to make the overhead of sorting it in parallel worthwhile, then a sequential sorting algorithm is used (in this case, the tuned quicksort implementation provided by the Arrays class in the javautil package) If the sequential algorithm is not used, then a pivot point is computed to divide the segment to be sorted A new thread is forked to sort the lower half of the array, while the parent thread sorts the upper half The new task is specified by the run method of an anonymous inner subclass of the Thread class When the new thread has finished sorting, it terminates When the parent thread finishes sorting, it performs a join to wait for the child thread to terminate and then merges the two sorted segments together This simple approach may be adequate in fairly regular problems where appropriate threshold values can easily be determined We stress that it is crucial that the threshold value be chosen appropriately: If too small, the overhead from too many UEs can make the program run even slower than a sequential version If too large, potential concurrency remains unexploited

Extensibility refers to the ease with which you can modify your data model as your future needs change By change, we mean adding columns to hold new pieces of information, modifying existing columns to change the way data is stored, or even adding or removing whole tables It s hard to predict what our future needs will be, so it is our job to make the database as extensible as possible so that we can react to future needs as they arise We also want our models to be flexible Although it s similar to extensibility, flexibility refers to how much of your model you can change without causing significant or any impact It is true that flexible models will likely also be extensible, but this isn t always the case In either event, an abstraction layer is your best friend when it comes to extensibility Your abstraction layer allows you to make almost any change you can imagine to the physical tables and not affect a single piece of application code If all your applications and users are reading data from views and manipulating data using stored procedures, you simply need to update these items as appropriate to prevent problems How many times have you wanted to make a change to a database, such as splitting one table into two tables, but have not been able to because it would require code to be reviewed, changed, and recompiled We have been in this boat more times than we care to remember The problem stems from the lack of an ab-

The descriptor is used to hold the getter and setter functions for each attribute and simply passes on the work of getting and setting to those functions

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int groupSize = 4; //number of threads FJTaskRunnerGroup group = new FJTaskRunnerGroup(groupSize); groupinvoke(new FJTask() { public void run() { synchronized(this) { sort(A,0, Alength); } } });

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