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This pipeline is created by composing the get_files() coroutine together with the suffix_matcher() coroutine It prints only HTML les Coroutines composed like this can quickly become dif cult to read, but there is nothing to stop us from composing a pipeline in stages although for this approach we must create the components in last-to- rst order

pipeline = size_matcher(receiver, minimum=1024 ** 2) pipeline = suffix_matcher(pipeline, ("png", "jpg", "jpeg")) pipeline = get_files(pipeline)

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This pipeline only matches les that are at least one megabyte in size, and that have a suf x indicating that they are images How are these pipelines used We simply feed them lenames or paths and they take care of the rest themselves

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Algorithms imply relationships between tasks In some problems, there are complex or recursive relations between tasks, and these relations need to be created and terminated dynamically Although these can be mapped onto familiar control structures, the design in many cases is much easier to understand if the structure of the tasks is mimicked by the structure of the UEs A one to one mapping of tasks onto UEs is natural in these algorithms, but that must be balanced against the number of UEs a system can handle UE creation and destruction are costly operations The algorithm might need to be recast to decrease these operations so they don't adversely affect the program's overall performance

for arg in sysargv[1:]: pipelinesend(arg)

Notice that it doesn t matter which pipeline we are using it could be the one that prints all the les, or the one that prints HTML les, or the images one they all work in the same way And in this case, all three of the pipelines are lters any lename they get is either passed on as is to the next component (and in the case of the reporter(), printed), or dropped because they don t meet the criteria Before looking at the get_files() and the matcher coroutines, we will look at the trivial reporter() coroutine (passed as receiver) that outputs the results

Solution In problems that use the Fork/Join pattern, tasks map onto UEs in different ways We will discuss two different approaches to the solution: (1) a simple direct mapping where there is one task per UE, and (2) an indirect mapping where a pool of UEs work on sets of tasks

In 5, Requirements Gathering, we look at methods for gathering requirements and explain which sort of information is important The techniques range from interviewing the end users to reverse-engineering an existing application or system No matter what methods you use, the goal is the same: to determine what the business needs It may sound easy, but I have yet to sit down with a customer and have him tell me exactly what he needs He can answer questions about the company s processes and business, but you must drill down to the core of the problem In fact, a lot of the time, your job is to act like a three-year-old, continually asking, Why For example, the customer will tell you he wants a button; you ask why, and he will tell you it s to open a door Why must you open a door The door must open in order to get product out of the warehouse Why does the product need to leave the warehouse We have to get the product into the hands of our customers The bottom line is that he wants a button in order to sell products to the customer This is the basic need of the business, and it s this information that is important If you meet this need, the customer won t really care whether you did it with a button or a switch or a magic password Often, it s easy to focus our attention on making customers happy at the cost of giving them what they really need We simply give the customer exactly what she asks for; in her mind, widget Z is what she needs, but in reality widget Z may work beautifully as designed but not solve the actual business problem The worst feeling ever is at the end of a project when the customer says, It s exactly what we asked for, but it s not what we need In 5 we go over several options for requirements gathering so that you can avoid the problem of not meeting your customers needs.

@coroutine def reporter(): while True: filename = (yield) print(filename)

@coroutine dec-

os walk()

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