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End-to-end testing for event-based systems, such as our Sniper, has to cope with asynchrony The tests run in parallel with the application and do not know precisely when the application is or isn t ready This is unlike unit testing, where a test drives an object directly in the same thread and so can make direct assertions about its state and behavior An end-to-end test can t peek inside the target application, so it must wait to detect some visible effect, such as a user interface change or an entry in a log The usual technique is to poll for the effect and fail if it doesn t happen within a given time limit There s a further complexity in that the target application has to stabilize after the triggering event long enough for the test to catch the result An asynchronous test waiting for a value that just ashes on the screen will be too unreliable for an automated build, so a common technique is to control the application and step through the scenario At each stage, the test waits for an assertion to pass, then sends an event to wake the application for the next step See 14 for a full discussion of testing asynchronous behavior All this makes end-to-end testing slower and more brittle (perhaps the test network is just busy today), so failures might need interpretation We ve heard of teams where timing-related tests have to fail several times in a row before they re reported This is unlike unit tests which must all pass every time In our case, both Swing and the messaging infrastructure are asynchronous, so using WindowLicker (which polls for values) to drive the Sniper covers the natural asynchrony of our end-to-end testing

Constructing a Fixed value from a floating-point value sets the digits to the smallest value that can represent the floating-point value The scale is set to preserve as much of the fractional part of the floating-point value as possible, truncating at the relevant digit Here are a few examples:

Group Policy Management Console (GPMC)

security warning con rmation; the hide and show options are displayed This makes it easier to see the components of interest and mirror the view of the settings shown within the GPMC It also provides some extra information concerning the details, links, security, and WMI Filtering and delegation that are normally shown in other tabs of the GPO

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Fixed f1 = Fixed f2 = Fixed f3 = Fixed f4 = Fixed f5 = 1E29 + 08 10000; 100005; 01; 1E30; 1E29 + 089; // // // // // As if IDL As if IDL Typically As if IDL As if IDL type fixed<4,0> type fixed<6,2> as if IDL type fixed<18,17> type fixed<31,0> type fixed<31,1>, // value is

21

Note that initialization from floating-point values can result in surprising digits and scale because of the vagaries of binary floating-point representation For example, the value 01 results in an actual value of 010000000000000001 in many implementations Also note that even though the value 1E29 + 089 is treated as 1E29 + 08 for the purpose of truncation, it is unlikely that your C++ compiler will be able to represent floating-point numbers with the required precision For example, on many implementations, the Fixed value will be initialized to 99999999999999991000000000000 instead Initialization with a value that has more than 31 integral digits throws a DATA_CONVERSION exception (see Section 715 for details on exception handling):

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