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Once we know how many rows and columns the user requires and the minimum and maximum values of the random numbers they want, we are ready to do the processing

Although the Service Trace Viewer is excellent for after-the-fact analysis of service interactions, a sample tool, called the Live Service Trace Viewer, offers an alternative approach This application uses a custom and a Windows Presentation Foundation (WPF) interface to receive and display diagnostic information as it occurs, which can be very useful, especially during development to avoid the manual process of continually reloading log les between runs Note that the Live Service Trace Viewer is not supported by Microsoft, but is an interesting example of how WCF diagnostics can be extended Details and code can be found at http://blogsmsdncom/ craigmcmurtry/archive/2006/09/19/762689aspx

row = 0 while row < rows: line = "" column = 0 while column < columns: i = randomrandint(minimum, maximum) s = str(i) while len(s) < 10: s = " " + s line += s column += 1 print(line) row += 1

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To generate the grid we use three while loops, the outer one working by rows, the middle one by columns, and the inner one by characters In the middle loop we obtain a random number in the speci ed range and then convert it to a string The inner while loop is used to pad the string with leading spaces so that each number is represented by a string 10 characters wide We use the line string to accumulate the numbers for each row, and print the line after each column s numbers have been added This completes our second example Python provides very sophisticated string formatting functionality, as well as excellent support for for in loops, so more realistic versions of both bigdigitspy and generate_gridpy would have used for in loops, and generate_gridpy would have used Python s string formatting capabilities rather than crudely padding with spaces But we have limited ourselves to the eight pieces of Python introduced in this chapter, and they are quite suf cient for writing complete and useful programs In each subsequent chapter we will learn new Python features, so as we progress through the book the programs we will see and be capable of writing will grow in sophistication

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Analyzing Logs from Multiple Sources Although the Service Trace Viewer is helpful for viewing the logs for a single service or client, the real power of both the tool and of end-to-end tracing is realized when log les are added from more than one participant of a distributed application To see this, choose File, Add (which, unlike File, Open, merges new logs with currently loaded logs) and select the SelfHost service project s tracing and message logs The service log les will be imported and correlated with the previously loaded client logs, as shown in Figure 910

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Summary

The Gauge class implements a graphical value display that may be placed in a Form A Gauge displays a visual representation of a numeric value in the range between zero and the maximum value defined by the programmer If the Gauge is set to be interactive, user actions can increase and decrease the value Changes to the Gauge value are reported using an ItemStateListener If the Gauge is set to be non-interactive, it represents a progress bar that can be used to provide feedback about the progress of long-running operations The application can set and get the value of Gauge with the setValue(int) and getValue() methods When Gauge is in non-interactive progress bar mode, the application must periodically update the value using the setValue method during the operation: the Gauge value should reach the maximum value just before the operation is finished

In this chapter we learned how to edit and run Python programs and reviewed a few small but complete programs But most of the chapter s pages were devoted to the eight pieces of Python s beautiful heart enough of Python to write real programs We began with two of Python s most basic data types, int and str Integer literals are written just as they are in most other programming languages String

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