This homework asks you to use Java to implement the Unicalc application that you completed
in Scheme in the previous homework. Because Java is organized around creating
and combining data structures, we will Java-ize Unicalc by writing a Quantity class.
In the second part of the assignment, you'll then be able to leverage this work in order to
implement a language based on
the unit-conversion
capability. Implementing the language will require you to have a Tokenizer class (you have the option to use the one
we've provided, if you wish),
to write a Parser class, and to write an Evaluator class. Examples and, optionally, starting points
for the Parser and Evaluator are provided via links at the top-level assignment page.
Why so much code provided? I'd prefer to write the application myself... .
Please do! With the support code we are balancing two valid concerns: on one hand, the deep understanding that a from-scratch implementation provides and, on the other hand, enough examples and framework to build familiarity with what are certainly intricate - and important! - computational ideas. Feel free to use as much - or as little - of the support code as you wish. One important thing we do ask if you implement from scratch is to use (or replicate) our toString conventions, so that we can check your results efficiently!
You will want to submit your four files
This assignment uses material especially from Chapter 8 in the text, though the material needed to handle this assignment will also be presented in class.
Because the .java files you write this week will be
interdependent, keep them all in a single folder/directory. That way,
java will be able to find classes as it needs to.
You can compile everything in the current directory with
> javac *.java
The asterisk means "everything" at the command prompt.
0 points
While it's not required, I found it very helpful to add the nonstatic methods
public Object second() ...
public Object third() ...
to the OpenList class, because the second and third elements
of lists get accessed lots of time in what follows!
40 points
This problem asks you to implement the Unicalc application in Java by building a class named Quantity. A starting Quantity.java file is available here and the top-level assignments page. You don't have to start with this file, if you'd like to implement from scratch (please be sure your toString method for Quantity objects matches ours, however!) On the other hand, you're more than welcome to use the provided Quantity.java as a starting point, if you wish... .
{ 9.8, [meter], [second, second] }
Note that a Quantity is delimited by curly braces. It will always contain three elements.
An object of type Quantity can also hold only a value - and it will always be a double
value:
{ 42.0, [], [] }
Here, we are illustrating the provided toString function, along with the OpenList
class you wrote last week. The curly braces are used to help distinguish objects of type Quantity
from objects of type OpenList. We encourage you to use your own OpenList class again
for this assignment -- and to augment it with any functions that may be helpful! If you'd prefer,
you may also start with our OpenList solution, which is linked at the top-level assignment page.
Here is an overview of what capabilities Quantity.java should have
private double m; // the multiplier
private OpenList N; // the numerator, an OpenList of Strings (units)
private OpenList D; // the denominator, also an OpenList of Strings (units)
public Quantity(double m, OpenList N, OpenList D) ... // constructor
public toString() ... // prints objects of type Quantity
public static OpenList getDB() ... // gets a pre-prepared database of units
public double getm(); // "getter" - returns the multiplier
public OpenList getN(); // "getter" - returns the numerator
public OpenList getD(); // "getter" - returns the denominator
// These six are translations from last week's Scheme code...
// you may replace these with others, as long as functionality is preserved
public static Quantity simplify(Quantity Q); // simplifies the input, Q
public static Quantity multiply(Quantity Q1, Quantity Q2); // multiplies the inputs
public static Quantity divide(Quantity Q1, Quantity Q2); // divides the inputs
public static Quantity conv_unit(String unit, OpenList DB); // looks up unit in DB
public static Quantity norm_unit(String unit, OpenList DB); // normalizes unit in DB
public static Quantity norm(Quantity Q, OpenList DB); // normalizes Q in DB
// These next two are new for this week... ! See the notes below.
public static Quantity negate(Quantity Q); // returns negative of Q
public static Quantity plus(Quantity Q1, Quantity Q2, OpenList DB); // norm(Q1,DB) + norm(Q2,DB)
public static void main(String[] args); // for testing your code!
Presuming the numerators and denominators are sorted We will test your code only with Quantity lists whose numerators and denominators have units in sorted order. You're welcome to include a call to sort in the constructor of a Quantity, just to be sure! A sort routine is provided in the provided OpenList class - or you might use your own! Mergesort, perhaps?
Like OpenLists, objects of type Quantity are not
meant to be changed. Rather, the methods above return new objects of
type Quantity based on their inputs. Indeed, six of the methods
above are based on last week's Unicalc.scm assignment, a solution to which
is posted at the top-level assignment page, if you'd like to use it. The reason
that these six are all static is to more closely resemble their
Scheme counterparts.
Also, there is no need to write convert itself, as it is an application of divide.
Two new methods There are two new methods that were not part of the Scheme unicalc application:
Testing your code You should write your main method so that it constructs several objects of class Quantity and tests all of your class's methods. There are a few tests (commented out) that are already in the provided main. If you use your own OpenList class, you might not be able to run all of the tests provided -- that's OK, just comment the others out. We will also run some additional tests of our own. We will only test your code on valid, commensurate inputs, for example, for the plus method.
A Tokenizer.java file provided for you in the code at the top-level assignment page. You may want to improve it or create your own tokenizer, but neither of these is required. See the optional extra credit portion of the assignment for additional ideas... .
30 points
This problem asks you to implement a Parser for the Unicalc language, whose grammar is as follows:
Technical note on the grammar
The rule for Q uses the asterisk, not as "times," but meaning "zero or more of the
preceding symbol." It also uses the plus sign, not as addition, but meaning "one or more of the
preceding symbol." Both of these are implemented in the provided Q method in
Parser.java.
The Parser class To do this, you should write a Parser class in a file named Parser.java. This should implement a recursive-descent parser for the above grammar, yielding an OpenList that represents the parse tree for a provided set of valid tokens. There is a starting point for such a class available in the startingFiles.zip archive at the top-level assignment page. In particular, that provided code already implements a number of methods for checking if there are remaining tokens (and what they are). In addition, it provides an implementation of Q(), for the Q nonterminal symbol.
Overview of parsing
The method that will begin all the work - even though all of that work will be
delegated recursively - is parse:
public OpenList parse(String[] tokens) This method should return
a new object of type OpenList that represents the parse tree for that set of tokens.
We will not test your code on invalid sets of tokens. Here is a simple example of each one - keep in mind
that they can be composed, as well. Also, double quotes have been added to highlight strings, but
they will not be printed by Java.
and here is a concise summary of the resulting parse tree from each expression in the grammar:
USER INPUT PARSE TREE
---------- ----------
def x 42 ["def", "x", [{ 42.0, [], [] }]]
# 1 joule ["#", [{ 1.0, ["joule"], [] }]]
1 foot + 1 inch ["+", [{ 1.0, ["foot"], [] }], [{ 1.0, ["inch"], [] }]]
1 foot - 1 inch ["-", [{ 1.0, ["foot"], [] }], [{ 1.0, ["inch"], [] }]]
1 second * 2 hz ["*", [{ 1.0, ["second"], [] }], [{ 2.0, ["hz"], [] }]]
1 second / 2 hz ["/", [{ 1.0, ["second"], [] }], [{ 2.0, ["hz"], [] }]]
(1 cm) [{ 1.0, ["cm"], [] }] // note - no extra nesting!
(- 1 cm) ["-", [{ 1.0, ["cm"], [] }]]
42.42 meter [{ 42.42, ["meter"], [] }]
meter [{ 1.0, ["meter"], [] }]
42 [{ 42.0, [], [] }]
2+3*4 [+, [{ 2.0, [], [] }], [*, [{ 3.0, [], [] }], [{ 4.0, [], [] }]]]
Other methods for Parser Recursive-descent parsing uses a method for each nonterminal in the grammar - except for D and V in the case of this problem. One way to build up to the full grammar is to implement one nonterminal method at a time, for example, from the bottom towards the top. So, you would implement and test U(), and then P(), and then E(), and finally S().
Testing your code The main method is already written to make this easy - you should be able to try out all of the above inputs (and many more of your own) to be sure that your Parser is working correctly.
30 points
This part completes the unicalc language. Here, you should build an Evaluator class that has at least the following four things:
private OpenList env; // the environment - a unit-database association list!
public Evaluator(OpenList env) ... // constructor
public Quantity evaluate(OpenList parseTree) ... // returns the result, a Quantity
public static void main(String[] args) ... // for testing
There is a starting file for Evaluator.java, which evaluates Quantitys; it is available from the startingFiles.zip archive at the top-level assignment page. Again, its use is 100% optional.
What does everything evaluate to? Well, every valid statement
in the Unicalc language evaluates to an object of type Quantity, that is, a
quantity list.
For example, the parse tree which is simply a list of a Quantity
naturally evaluates to that Quantity object.
Many of the others are clear: addition, subtraction, negation, multiplication,
division, and normalizing. Some of these operations (addition and normalizing) require a
database of units... this database is the environment in which each expression
is evaluated. The data member env (already at the top of
Evaluator.java is provided for this purpose.
This environment env starts out empty -- meaning that every unit
is a basic, irreduceable unit. However, as you define units with def,
conversions become possible. These are considered next.
The two parse trees whose evaluations may not be clear are these:
[
["mile", { 5280.0 ["foot"] [] }]
]
with the quotes and spacing added only for emphasis.
Then, after the statement def league 0.125 mile, the environment
should become
[
["league", { 0.125, ["mile"], [] }],
["mile", { 5280.0 ["foot"] [] }]
]
We could even redefine "mile" - for example, after def mile 1760 yard, the new value of
env would be
[
["mile", { 1760.0, ["yard"], [] }],
["league", { 0.125, ["mile"], [] }],
["mile", { 5280.0 ["foot"] [] }]
]
and assoc should "do the right thing" by taking the first match at the top.
The data member env, already provided in the Evaluator, is the natural
place to store the environment... .
The main method is already written to make this easy - you should be
able to try out all of the inputs below (and many more of your own) to be sure
that your Evaluator is working correctly. Here are some examples, including
the printout of the tokens, parse tree, value, and environment each time:
def mile 5280 foot
The tokens are < def, mile, 5280, foot >
The parseTree is [def, mile, [{ 5280.0, [foot], [] }]]
The value is { 5280.0, [foot], [] }
The current env is
[[mile, { 5280.0, [foot], [] }]]
def yard 3 foot
The tokens are < def, yard, 3, foot >
The parseTree is [def, yard, [{ 3.0, [foot], [] }]]
The value is { 3.0, [foot], [] }
The current env is
[[yard, { 3.0, [foot], [] }], [mile, { 5280.0, [foot], [] }]]
1 mile + 2 yard
The tokens are < 1, mile, +, 2, yard >
The parseTree is [+, [{ 1.0, [mile], [] }], [{ 2.0, [yard], [] }]]
The value is { 5286.0, [foot], [] }
The current env is
[[yard, { 3.0, [foot], [] }], [mile, { 5280.0, [foot], [] }]]
def x 2 mile - 1 foot
The tokens are < def, x, 2, mile, -, 1, foot >
The parseTree is [def, x, [-, [{ 2.0, [mile], [] }], [{ 1.0, [foot], [] }]]]
The value is { 10559.0, [foot], [] }
The current env is
[[x, { 10559.0, [foot], [] }], [yard, { 3.0, [foot], [] }], [mile, { 5280.0, [foot], [] }]]
x / 1 foot
The tokens are < x, /, 1, foot >
The parseTree is [/, [{ 1.0, [x], [] }], [{ 1.0, [foot], [] }]]
The value is { 1.0, [x], [foot] }
The current env is
[[x, { 10559.0, [foot], [] }], [yard, { 3.0, [foot], [] }], [mile, { 5280.0, [foot], [] }]]
# x / 1 foot
The tokens are < #, x, /, 1, foot >
The parseTree is [#, [/, [{ 1.0, [x], [] }], [{ 1.0, [foot], [] }]]]
The value is { 10559.0, [], [] }
The current env is
[[x, { 10559.0, [foot], [] }], [yard, { 3.0, [foot], [] }], [mile, { 5280.0, [foot], [] }]]
3 yard yard + 1 foot * 2 foot
The tokens are < 3, yard, yard, +, 1, foot, *, 2, foot >
The parseTree is [+, [{ 3.0, [yard, yard], [] }], [*, [{ 1.0, [foot], [] }], [{ 2.0, [foot], [] }]]]
The value is { 29.0, [foot, foot], [] }
The current env is
[[x, { 10559.0, [foot], [] }], [yard, { 3.0, [foot], [] }], [mile, { 5280.0, [foot], [] }]]
Functions! For up to an additional +25 points, implement functions in the Parser and Evaluator of the unicalc language. How to design and implement this is 100% up to you. In the spirit of the add-your-own-feature option (below) however, please be sure

Personalizing For up to +5 points, improve the unicalc-language with whatever feature you'd like... . Here are the rules, however: