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Viewing the problem decomposition in terms of two distinct dimensions is somewhat artificial A task decomposition implies a data decomposition and vice versa; hence, the two decompositions are really different facets of the same fundamental decomposition We divide them into separate dimensions, however, because a problem decomposition usually proceeds most naturally by emphasizing one dimension of the decomposition over the other By making them distinct, we make this design emphasis explicit and easier for the designer to understand 313 Background for Examples In this section, we give background information on some of the examples that are used in several patterns It can be skipped for the time being and revisited later when reading a pattern that refers to one of the examples

The binary data could be written to a le using open(filename, "wb")write( binary) Keeping binary data in py les is much less compact than keeping it in its original form, but can be useful if we want to provide a program that requires some binary data as a single py le

Most versions of Windows don t come with support for the tar format that is so widely used on Unix systems This inconvenient omission can easily be recti ed using Python s tarfile module, which can create and unpack tar and targz archives (known as tarballs), and with the right libraries installed, tarbz2 archives The untarpy program can unpack tarballs using the tarfile module; here we will just show some key extracts, starting with the rst import statement:

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Modern languages such as C and C++ are block structured Fortran, however, is not Hence, the Fortran OpenMP specification defines a directive to close the parallel block:

The bz2 module is used to handle the bzip2 compression format, but importing it will fail if Python was built without access to the bzip2 library (The Python binary for Windows is always built with bzip2 compression built-in; it is only on some Unix builds that it might be absent) We account for the possibility that the module is not available using a try except block, and keep a Boolean variable that we can refer to later (although we don t quote the code that uses it)

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UNTRUSTED_PREFIXES = tuple(["/", "\\"] + [c + ":" for c in stringascii_letters])

This statement creates the tuple ('/', '\', 'A:', 'B:', , 'Z:', 'a:', 'b:', , 'z:') Any lename in the tarball being unpacked that begins with one of these is suspect tarballs should not use absolute paths since then they risk overwriting system les, so as a precaution we will not unpack any le whose name starts with one of these pre xes

This pattern is used with other Fortran constructs in OpenMP; that is, one form opens the structured block, and a matching form with the word END inserted after the OMP closes the block In Fig A2, we show parallel programs in which each thread prints a string to the standard output When this program executes, the OpenMP runtime system creates a number of threads, each of which will execute the instructions inside the parallel construct If the programmer doesn't specify the number of threads to create, a default number is used We will later show how to control the default number of threads, but for the sake of this example, assume it was set to three OpenMP requires that I/O be thread safe Therefore, each output record printed by one thread is printed completely without interference from other threads The output from the program in Fig A2 would then look like:

Given the command line sum2py < data\sum2dat (where the sum2dat le contains a list of numbers one per line and is in the examples data subdirectory), the output to the console is:

Type integers, each followed by Enter; or ^D or ^Z to finish count = 37 total = 1839 mean = 497027027027

Requirements Gathering Overview 98 Gathering Requirements Step by Step 98 Conducting Interviews 98 Observation 101 Previous Processes and Systems 103 Use Cases 105 Business Needs 111 Balancing Technical Limitations with Business Needs 112 Gathering Usage Data 112 Reads versus Writes 113 Data Storage Requirements 114 Transaction Requirements 115 Summary 116

In this case, each output record was identical It is important to note, however, that although each record prints as a unit, the records can be interleaved in anyway, so a programmer cannot depend on the threads writing their records in a particular order

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