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The scheme identifies the type of the UI component into which the contributions will be added It can be one of the following values: menu the main application menu or a view pull-down menu popup a context menu in a view or editor toolbar the main application toolbar or toolbar in view The identifier or id of the locationURI specifies the unique identifier of menu, popup or toolbar into which the contributions should be added For example, to add an item to a view s toolbar, specify toolbar as the scheme and the view s toolbar s identifer as the id portion of the locationURI The convention is that for any view, its identifier should match its toolbar s identifier, it s context menu identifier and its pulldown menu identifier Some common identifiers include: orgeclipseuimainmenu the identifier for the Eclipse main menu orgeclipseuimaintoolbar the identifier for the Eclipse main toolbar

orgeclipseuipopupany the identifier for any context menu When this identifer is used with the popup scheme, then the menu and menu items will be visible in all view and editor context menus This is very similar to actions in context menus as discussed in Section 67, Object Actions, on page 257 The third and final portion of the locationURI is the argument list, which allows fine-grained definition of the specific location within a given menu, popup or toolbar The argument list is composed of the placement, which can be either before or after , an equals sign ( = ), and the identifier for some item in the menu, popup, or toolbar The identifier can also be additions indicating that the elements should be placed in the default location within the given menu, popup, or toolbar

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You might think that it would suffice to compute rand() % n, which is the remainder when dividing the random integer by n In practice, this technique fails for two reasons The most important reason is pragmatic: rand() really returns only pseudo-random numbers Many C++ implementations' pseudo-random-number generators give remainders that aren't very random when the quotients are small integers For example, it is not uncommon for successive results of rand() to be alternately even and odd In that case, if n is 2, successive results of rand() % n will alternate between 0 and 1 There is another, more subtle reason to avoid using rand() % n: If the value of n is large, and RAND_MAX is not evenly divisible by n, some remainders will appear more often than others For example, suppose that RAND_MAX is 32767 (the smallest permissible value of RAND_MAX for any implementation) and n is 20000 In that case, there would be two distinct values of rand() that would cause rand() % n to be 10000 (namely, 10000 and 30000), but only one value of rand() that would cause rand() % n to be 15000 (namely, 15000) Therefore, the naive implementation of nrand would yield 10000 as a value of nrand(20000) twice as often as it would yield 15000 To avoid these pitfalls, we'll use a different strategy, by dividing the range of available random numbers into buckets of exactly equal size Then we can compute a random number and return the number of the corresponding bucket Because the buckets are of equal size, some random numbers may not fall into any bucket at all In that case, we keep asking for random numbers until we get one that fits The function is easier to write than to describe:

Effective Java: Programming Language Guide public static void main(String[] args) { int n = 2 * (IntegerMAX_VALUE / 3); int low = 0; for (int i = 0; i < 1000000; i++) if (random(n) < n/2) low++; } Systemoutprintln(low);

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