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Let's revisit our student-grading problem from 42/61, supposing this time that not only do we wish to calculate all the students' grades, but we would also like to know which students failed the course The idea is that if we have a vector of Student_info records, we would like to extract the ones for students who failed the course, and store those records in another vector We also want to remove the data for failing students from the original vector, so that it will contain only records for students who passed We'll start by writing a simple function to test whether a student failed:

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The designers of the Java programming language chose to omit the union construct because there is a much better mechanism for defining a single data type capable of representing objects of various types: subtyping A discriminated union is really just a pallid imitation of a class hierarchy To transform a discriminated union into a class hierarchy, define an abstract class containing an abstract method for each operation whose behavior depends on the value of the tag In the earlier example, there is only one such operation, area This abstract class is the root of the class hierarchy If there are any operations whose behavior does not depend on the value of the tag, turn these operations into concrete methods in the root class Similarly, if there are any data fields in the discriminated union besides the tag and the union, these fields represent data common to all types and should be added to the root class There are no such typeindependent operations or data fields in the example Next, define a concrete subclass of the root class for each type that can be represented by the discriminated union In the earlier example, the types are circle and rectangle Include in each subclass the data fields particular to its type In the example, radius is particular to circle, and length and width are particular to rectangle Also include in each subclass the appropriate implementation of each abstract method in the root class Here is the class hierarchy corresponding to the discriminated union example:

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// predicate to determine whether a student failed bool fgrade(const Student_info& s) { return grade(s) < 60; }

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We use the grade function from 422/63 to calculate the grade, and we arbitrarily define a failing grade as one that is less than 60 The most straightforward approach to solving our overall problem is to examine each student record and push it onto one of two vectors, one for students with passing grades and the other for students with failing grades:

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abstract class Shape { abstract double area(); } class Circle extends Shape { final double radius; Circle(double radius) { thisradius = radius; } double area() { return MathPI * radius*radius; } } class Rectangle extends Shape { final double length; final double width; Rectangle(double length, double width) { thislength = length; thiswidth = width; } double area() { return length * width; }

// separate passing and failing student records: first try vector<Student_info> extract_fails(vector<Student_info>& students) { vector<Student_info> pass, fail; for (vector<Student_info>::size_type i = 0; i != studentssize(); ++i) if (fgrade(students[i])) failpush_back(students[i]); else passpush_back(students[i]); students = pass;

public String getKey() { return key; } public String getValue() { return value; } public PropertyElement[] getChildren() { return NO_CHILDREN; }

public void setKey(String text) { if (keyequals(text)) return; key = text; ((PropertyCategory) getParent())keyChanged(this); } public void setValue(String text) { if (valueequals(text)) return; value = text; ((PropertyCategory) getParent())valueChanged(this); } public void removeFromParent() { ((PropertyCategory) getParent())removeEntry(this); } }

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