This goal of this lab is to practice writing operations for binary trees, as an application of and variation on linked lists.
As usual, make a new directory for this lab and cd into it. Copy all the files from a subdirectory for this lab.
cp /homeemp/tvandrun/pub/235/lab13/* .
In class we looked at recursive methods to perform a depth first traversal on a tree, with the variations of pre-, in-, and post-order visiting of the nodes. An alternative to all these is breadth first traversal. For example, given a tree
1 / \ 2 3 / \ / \ 4 5 6 7
a breadth first traversal would go horizontally (by rows), and visit the nodes (or print the data) 1, 2, 3, 4, 5, 6, 7.
If you think about this problem, you'll see that there is not clear way to do this recursively. After you visit 1 and 2, you still need to visit 2's children 4 and 5, but not right away; first you need to visit 3. To do this, you need to use a data structure called a queue.
A queue is a container for data (a data structure) characterized by the ability to add elements at one "end" and retrieve them at the other "end", in the same order in which they were entered. For example, if you added 3, then added 7, and then added 5, then if you tried to retrieve an element, you would get 3. If you then added 8 and 4, and then retrieved elements until the queue was empty, you would get 7, 5, 8, and 4.
The interface Queue
defines the operations
of a queue: add an element to the back, remove (and return) an element from the
front, and test if the queue is empty.
Write a class that implements this interface;
although a queue class could use an array as its internal implementation,
it is much easier to make the queue a variation on a linked list.
The class Node
is provided for you for this;
that Node
class is exactly like the one we've used before
except that the datum
is of a different type;
this time we do not want to store int
s in the queue,
but rather TreeNode
s.
It may be a little confusing at first to deal with the fact that you have
two variety of nodes-- Node
s for the list/queue,
and TreeNode
s for the binary trees,
and that the Node
s contain TreeNode
s as
their datum.
Compile your class which implements Queue
.
You will test it in the next section.
Now finish the main method in the file BreadthFirst.java
.
Write code which will traverse the tree and print each datum as it
visits the nodes.
Do this iteratively, using your queue.
Think of the queue as your list of nodes that you know need to be visited
at some point.
One use for trees is in the grammatical (or syntactical) analysis (or "parsing") of languages, both human languages and programming languages. As a simple example, the following grammar describes the language of fully parenthesized arithmetic expressions:
expression --> integer | ( expression op expression)
op --> + | - | / | *
This means "An expression is either a single integer, or it is a left parenthesis, a (sub-)expression, an operator, another (sub-)expression, and a right parenthesis. An operator is a plus, a minu, a slash, or a star." According to this grammar, the following are expressions:
These can be represented as trees. (We can ignore the parentheses now, since the information they give about grouping is contained in the structure of the tree itself.)
15 - / + / \ / \ / \ 42 17 * 147 * - / \ / \ / \ 18 10 14 91 22 17
Expression can be modelled by a node-like interface with two implementing classes: one for leaf nodes containing integers, and one for nodes containing an operator and having two children. Evaluation of the expressions can be performed with a depth-first post-order traversal of the tree.
ExprNode
classesYour first task is to design classes that model the
two kinds of nodes, implementing the ExprNode
interface.
These nodes will have to have evaluate()
methods, but we'll deal with that later.
So, write two classes, one for leaf/integer nodes, the other for non-leaf/operation nodes. What instance variables will they have?
Next, you will need to write code to build
an expression tree given a String containing a fully-parenthesize
expression.
The driver program Interpreter
is intended to work so
that the user can write a expression in the commandline,
and the program will build an appropriate expression
tree, and then evaluate the expression using the tree.
Implement this in the main method of Interpreter
and the the constructors of the classes you wrote in
part B.
One thing you will find useful is a method I have written
and included in the code you copied.
In the class ExprStringSlicer
, the static method
slice()
takes a String, assumed to contain
an expression in our grammar.
It will return an array of Strings: if the String passed
to it is just an integer, then it will return an array
with exactly one element, a String version of that integer;
if it is passed a String with a parenthesized operation
over subexpressions, it will return an array with three elements,
the first subexpression, the operator, and the second subexpression.
For example, given "5"
, it will return
{ "5" }
.
Given "((14 * 91) + (22 - 17))"
,
it will return { "(14 * 91)", "+", "(22 - 17")}
.
When you test out your program, you will need to put
quotes around the string you give to Interpreter
.
For example, you could run the program with
java Interpreter "((14 * 91) + (22 - 17))"
The quotes tell Java to treat ((14 * 91) + (22 - 17))
as a single String (it will be the zeroth item in args
).
Otherwise every space would be assumed to begin and end a separate
String; furthermore, the parentheses would reall mess things up.
Finally, the interpreter calls the
evaluate()
method on the trees you have built.
Write the evaluate methods so that they return the integer
value of the given expression.
Create the script file as before (cat--only files you've written or changed, rm, compile, and run)
a2ps -P sp (the name of the script file)