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It is now time to write nrand We begin by noting that the standard library includes a function named rand (defined in <cstdlib>) That function takes no arguments, and returns a random integer in the range [0, RAND_MAX], where RAND_MAX is a large integer that is also defined in <cstdlib> Our job is to reduce the range [0, RAND_MAX], which includes both 0 and RAND_MAX, to [0, n), which includes 0 but not n, with the understanding that n <= RAND_MAX

4 Creating JavaScript files is just like creating CSS files Use the New JavaScript File wizard to create score-validatorjs (see Figure 732)

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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:

Starling (098) usage: starling [options] starling --help starling --version Configuration: -f, --config FILENAME -q, --queue_path PATH Network: -h, --host HOST -p, --port PORT Process: -d -P, --pid FILENAME

5 The wizard opens score-validatorjs in the JavaScript source editor Edit it (see Example 77) Experiment with content assist as you edit the file

// return a random integer in the range [0, n) int nrand(int n) { if (n <= 0 || n > RAND_MAX) throw domain_error("Argument to nrand is out of range"); const int bucket_size = RAND_MAX / n; int r; do r = rand() / bucket_size; while (r >= n); return r; }

// Validate an integer input value function validateInteger(validatorId, valueId, minValue, maxValue) { var validatorElement = documentgetElementById(validatorId); var valueElement = documentgetElementById(valueId); var value = Number(valueElementvalue); // validate the value if (isNaN(value) || (value != Mathround(value)) || (minValue > value) || (value > maxValue)) { validatorElementinnerHTML = "Please enter an integer between " + minValue + " and " + maxValue + "!" ; return false; } // the value is valid validatorElementinnerHTML = ""; return true; } function validateGoals(validatorId, goalsId) { // the number of goals must be an integer between 0 and 99 return validateInteger(validatorId, goalsId, 0, 99); } function validateVisitor() { return validateGoals("visitorValidator", "visitorId"); } function validateHome() { return validateGoals("homeValidator", "homeId"); } // Validate all the input fields function validateFields() { var visitorValid = validateVisitor(); var homeValid = validateHome(); return visitorValid && homeValid; } // Submit the score function submitScore() { var valid = validateFields();

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