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We begin by dividing size by 2 in order to locate the middle of the vector If the number of elements is even, this division is exact If the number is odd, then the result is the next lower integer Exactly how we compute the median depends on whether the number of elements is even or odd If it is even, the median is the average of the two elements closest to the middle Otherwise, there is an element in the middle, the value of which is the median The expression that assigns a value to median uses two new operators: the remainder operator, %, and the conditional operator, often called the : operator The remainder operator, %, returns the remainder that results from dividing its left operand by its right operand If the remainder after dividing by 2 is 0, then the program has read an even number of elements The conditional operator is shorthand for a simple if-then-else expression First, it evaluates the expression, size % 2 == 0, that precedes the part of the operator as a condition to obtain a bool value If the condition yields true, then the result is the value of the expression between the and the : that follows; otherwise, the result is the value of the expression after the : So, if we read an even number of elements, we'll set median to the average of the two middle elements If we read an odd number, then we'll set median to homework[mid] Analogous to && and ||, the : operator first evaluates its leftmost operand Based on the resulting value, it then evaluates exactly one of its other operands The references to homework[mid] and homework[mid-1] show one way to access an element of a vector Every element of every vector has an integer, called its index, associated with it So, for example, homework[mid] is the element of homework with index mid As you might suspect from 26/30, the first element of the vector named homework is homework[0], and the last element is homework[size - 1] Each element is itself an (unnamed) object of the type stored in the container So, homework[mid] is an object of type double, on which we can invoke any of the operations that type double supports In particular, we can add two elements, and we can divide the resulting sum by 2 to get the average value of the two objects Once we know how to access the elements of homework, we can see how the median computation works Assume first that size is even, so that mid is size / 2 Then there must be exactly mid elements of homework on each side of the middle:.

public class FavoritesManagerEditPart extends AbstractFavoritesGraphicalEditPart { public FavoritesManagerEditPart(FavoritesManager manager) { setModel(manager); } public FavoritesManager getFavoritesManager() { return (FavoritesManager) getModel(); } protected IFigure createFigure() { // see end of Section 2045, LayoutManager, on page 751 return null; } protected void createEditPolicies() { // see Section 20653, GEF Policies, on page 765 } }

Effective Java: Programming Language Guide public public public public } Object[] toArray(Object[] a) { return stoArray(a); boolean equals(Object o) { return sequals(o); int hashCode() { return shashCode(); String toString() { return stoString(); } } } }

20321 getModelChildren()

Because we know that each half of homework has exactly mid elements, it should be easy to see that the indices of the two elements nearest the middle are mid - 1 and mid; the median is the average of these elements

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GEF calls getModelChildren() to determine if FavoritesManagerEditPart has children This method returns a collection of model objects which are passed to the edit part factory (see Section 2035, EditPartFactory, on page 742) to instantiate edit parts This getModelChildren() method can be implemented on child edit parts so that they can return their own children, and so on In our case, FavoritesManagerEditPart will return a collection of IFavoriteItems and the IResources associated with those IFavoriteItems:

If the number of elements is odd, then mid is really (size-1) / 2, because of truncation In that case, we can think of our sorted homework vector as two segments with mid elements each, separated by a single element in the middle That element is the median:

protected List<Object> getModelChildren() { IFavoriteItem[] items = getFavoritesManager()getFavorites(); Collection<Object> result = new HashSet<Object>(itemslength * 2); for (int i = 0; i < itemslength; i++) { IFavoriteItem each = items[i]; resultadd(each); resultadd(eachgetAdapter(IResourceclass)); } return new ArrayList<Object>(result);

The getModelChildren() method is only called by the refreshChildren() method which in turn is only called by the refresh() method Only when the edit part is first displayed is the refresh() method is called

The design of the InstrumentedSet class is enabled by the existence of the Set interface, which captures the functionality of the HashSet class Besides being robust, this design is extremely flexible The InstrumentedSet class implements the Set interface and has a single constructor whose argument is also of type Set In essence, the class transforms one Set into another, adding the instrumentation functionality Unlike the inheritance-based approach, which works only for a single concrete class and requires a separate constructor for each supported constructor in the superclass, the wrapper class can be used to instrument any Set implementation and will work in conjunction with any preexisting constructor For example,

In either case, our median computation relies on the ability to access a vector element knowing only its index Once we have computed the median, We need only compute and write the final grade:

We want to display the FavoriteJavaElement and FavoriteResource from the Favorites model (see Section 202, GEF Model, on page 732) along with the IResource model object To do so, we must create an edit part for each of these model objects

Since all of these objects have similar characteristics and will possibly be connected to each other, we define a common superclass for these edit parts:

streamsize prec = coutprecision(); cout << "Your final grade is " << setprecision(3) << 02 * midterm + 04 * final + 04 * median << setprecision(prec) << endl;

public abstract class AbstractFavoritesNodeEditPart extends AbstractFavoritesGraphicalEditPart { }

Next, define BasicFavoriteItemEditPart to be used for both the FavoriteJavaElement and FavoriteResource model objects

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