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Here is how you would link these coroutines to create a dataflow processing pipeline:

finder = find_files(opener(cat(grep("python",printer())))) # Now, send a value findersend(("www","access-log*")) findersend(("otherwww","access-log*"))

You can also perform steps 4 through 6 by selecting Tools Update And Redeploy The utility replaces the old JSP file in with the new one and then redeploys the application

OOAD Object-Oriented Analysis and Design With Applications, Grady Booch, Addison-Wesley, 1994, ISBN 0-201-54435-0 Still the classic OOAD reference CRC The CRC Card Book, David Bellin and Susan Suchman Simone, Addison-Wesley, ISBN 0-201-89535-8 A Laboratory For Teaching Object-Oriented Thinking, Kent Beck and Ward Cunningham, 1989, c2com/doc/oopsla89/paperhtml

In this example, each coroutine sends data to another coroutine specified in the target argument to each coroutine Unlike the generator example, execution is entirely driven by pushing data into the first coroutine find_files()This coroutine, in turn, pushes data to the next stage A critical aspect of this example is that the coroutine pipeline remains active indefinitely or until close() is explicitly called on it Because of this, a program can continue to feed data into a coroutine for as long as necessary for example, the two repeated calls to send() shown in the example Coroutines can be used to implement a form of concurrency For example, a centralized task manager or event loop can schedule and send data into a large collection of hundreds or even thousands of coroutines that carry out various processing tasksThe fact that input data is sent to a coroutine also means that coroutines can often be easily mixed with programs that use message queues and message passing to communicate between program components Further information on this can be found in 20, Threads

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A common operation involving functions is that of applying a function to all of the items of a list, creating a new list with the results For example:

1 2 3 4 5

nums = [1, 2, 3, 4, 5] squares = [] for n in nums: squaresappend(n * n)

The steps of the traditional waterfall development cycle include: Feasibility Study, Analysis, Design, Coding, Testing, and Maintenance One of the most important aspects of object-oriented methodologies is the recognition of the need for feedback and allowing for dynamic change in the design

Because this type of operation is so common, it is has been turned into an operator known as a list comprehension Here is a simple example:

nums = [1, 2, 3, 4, 5] squares = [n * n for n in nums]

Edit to copy the modified file to the build directory Execute Select , select Tools Update Files In A dialog box appears reporting the changed fileVerify that has been changed and dismiss the dialog box 6 Select Tools Deploy Make sure the checkbox labeled Save Object Before Deploying is checked

The general syntax for a list comprehension is as follows:

[expression for item1 in iterable1 if condition1 for item2 in iterable2 if condition2 for itemN in iterableN if conditionN ]

file:///C|/oobook/4html (50 of 51) [13/03/2003 02:55:19 }

gn it e er g/

This syntax is roughly equivalent to the following code:

s = [] for item1 in iterable1: if condition1: for item2 in iterable2: if condition2: for itemN in iterableN: if conditionN: sappend(expression)

To illustrate, here are some more examples:

4 5 6 7

a = [-3,5,2,-10,7,8] b = 'abc' c = [2*s for s in a] d = [s for s in a if s >= 0] e = [(x,y) for x in a for y in b if x > 0 ] # c = [-6,10,4,-20,14,16] # d = [5,2,7,8] # e = [(5,'a'),(5,'b'),(5,'c'), # (2,'a'),(2,'b'),(2,'c'), # (7,'a'),(7,'b'),(7,'c'), # (8,'a'),(8,'b'),(8,'c')]

4

f = [(1,2), (3,4), (5,6)] g = [mathsqrt(x*x+y*y) for x,y in f]

# f = [223606, 50, 781024]

Click Next Select the JSP radio button Click Next from the JSP Filename combo box Select Click Finish Web component

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