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While we define each of these program structures as a distinct pattern, this is somewhat artificial It is possible, for example, to implement the Master/Worker pattern using the Fork/Join pattern or the SPMD pattern These patterns do not represent exclusive, unique ways to structure a parallel program Rather, they define the major idioms used by experienced parallel programmers These patterns also inevitably express a bias rooted in the subset of parallel programming environments we consider in this pattern language To an MPI programmer, for example, all program structure patterns are essentially a variation on the SPMD pattern To an OpenMP programmer, however, there is a huge difference between programs that utilize thread IDs (that is, the SPMD pattern) versus programs that express all concurrency in terms of loop level worksharing constructs (that is, the Loop Parallelism pattern) Therefore, in using these patterns, don't think of them too rigidly These patterns express important techniques and are worthy of consideration in isolation, but do not hesitate to combine them in different ways to meet the needs of a particular problem For example, in the SPMD pattern, we will discuss parallel algorithms based on parallelizing loops but expressed with the SPMD pattern It might seem that this indicates that the SPMD and Loop Parallelism patterns are not really distinct patterns, but in fact it shows how flexible the SPMD pattern is 512 Patterns Representing Data Structures Patterns in this second group have to do with managing data dependencies The Shared Data pattern deals with the general case The others describe specific frequently used data structures

Parsing XML with SAX (Simple API for XML)

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Product Instance Another problem with products is that they must be stored somewhere Because we have bins (represented by the Bins entity) that hold products, we need to have a relationship between Bins and Products The problem is that some products are so small that they are mixed within a bin, meaning that a single bin can hold different types of products Other products are large enough that they require dedicated bins, but a given bin may hold several packages containing that product type And in some cases a single product takes an entire bin (for example, a large piano-style keyboard) Finally, we may have a product, such as a drum set, that is composed of several pieces, and the components may be stored in multiple bins So we have, in effect, a many-to-many relationship To resolve this, we created a Product Instance entity that allows us to relate multiple products to multiple bins as needed Product Kits This entity addresses situations in which we have a product for sale that is a grouping of products For example, MVM may occasionally run promotions to sell a guitar with an amplifier and an instrument cable to connect them Normally, these are individual products We could simply automatically generate an order that adds each item; however, that creates problems with pricing differences (because the point is to reduce the customer s price) between the promotional price and the standard price Additionally, if we add each item separately, we don t have as much historical visibility into how many of each item was sold as part of the promotion versus those sold through a standard order Although there are other possible solutions, we chose to handle this through a separate entity that effectively creates a new product composed of the promotional items Product Vendors This entity solves a similar problem as Product Instance does Because MVM may purchase multiple products from a specific vendor, or it may buy the same product from different vendors, we have a many-to-many relationship; this entity facilitates that relationship.

Unlike the element tree and DOM, which represent an entire XML document in memory, SAX parsers work incrementally, which can potentially be both faster and less memory-hungry A performance advantage cannot be assumed, however, especially since both the element tree and DOM use the fast expat parser SAX parsers work by announcing parsing events when they encounter start tags, end tags, and other XML elements To be able to handle those events that we are interested in we must create a suitable handler class, and provide certain prede ned methods which are called when matching parsing events take place The most commonly implemented handler is a content handler, although it is possible to provide error handlers and other handlers if we want ner control Here is the complete import_xml_sax() method It is very short because most of the work is done by the custom IncidentSaxHandler class:

def import_xml_sax(self, filename): fh = None try: handler = IncidentSaxHandler(self) parser = xmlsaxmake_parser() parsersetContentHandler(handler) parserparse(filename) return True except (EnvironmentError, ValueError, IncidentError, xmlsaxSAXParseException) as err: print("{0}: import error: {1}"format( ospathbasename(sysargv[0]), err)) return False

Shared Data This pattern addresses the general problem of handling data that is shared by more than one UE, discussing both correctness and performance issues Shared Queue This pattern represents a "thread safe" implementation of the familiar queue abstract data type (ADT), that is, an implementation of the queue ADT that maintains the correct semantics even when used by concurrently executing UEs

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