代写Inf2A作业、代做Java程序语言作业、代做Micro-Haskell留学生作业、代写Java课程设计作业
Inf2A 2018–19: Assignment 1
The Language Processing Pipeline for Micro-Haskell
Issued 12 October 2018
The deadline for this assignment is 4pm, Tuesday 30 October 2018 (the night before
Hallowe’en).
Overview
The objective of this practical is to illustrate the language processing pipeline in the
case of a small but interesting fragment of the Haskell programming language, which we
shall call Micro-Haskell (or MH). The practical is self-contained, and prior knowledge of
Haskell itself is not assumed; however, those with no previous experience of Haskell may
need to invest a little more time to understand what is required. The brief introduction
to Micro-Haskell to be given in Lecture 14 may also be helpful.
The practical illustrates all stages of the language processing pipeline for programming
languages, taking us from a source file, written in MH, to execution of the program.
In our case, the pipeline has four stages: lexing, parsing, typechecking and evaluation.
Your task is to provide language-specific material to assist with the first three stages:
lexing, covered in Part A of the practical; parsing, covered in Part B; and typechecking,
covered in Part C. A simple evaluator is provided for you.
The code implementing all four stages will itself be written in Java. (So you are
warned at the outset that you’ll need to think in two languages at once!) Several
general-purpose components are provided; your task is to supply the parts specific to
MH, by applying your understanding of the course material. Once you have finished,
you’ll be able to hook up your implementations to the given evaluator to obtain a
complete working implementation of MH.
Of course, many libraries of lexing and parsing tools in Java are available on the
Internet, but the point of this practical is to build things up from first principles in
order to understand how they work. You should therefore not attempt to use any
lexer or parser utilities you may find online, nor any tools such as StringTokenizer or
StreamTokenizer that might otherwise appear tempting.
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Besides writing your own code, you are advised to spend some time understanding
what the provided parts of the code are doing, at least in broad terms. This will help
you to understand what you need to implement, and also to see how the various stages
of the pipeline all fit together.
The version of Java for this practical is 1.8.0 181 (the version currently installed on
the DICE machines). If you have another version installed on a machine of your own,
you may still be able to complete the practical with this, but it’s your responsibility
to check that the final version of your code compiles and runs under the above version
before you submit it.
Instructions
To begin, download the code file Inf2A_Prac1_Files.zip from the Informatics 2A
Assignments webpage. On a DICE machine, this can be unpacked using
unzip Inf2A_Prac1_Files.zip
This will build a subdirectory Inf2A_Prac1_Files inside your working directory (folder),
within which you will find all source files needed for the assignment. Look first at the
file MH_example.txt, which provides a small sample of Micro-Haskell.
The assignment comprises four parts: A–D. In each of Parts A–C, you have to
complete a template Java file that is provided for you. In doing this, fill in only the
parts of code that you are instructed to write. Do not make any other alterations
to the existing code — this will invalidate your solution! You are required to
submit your solutions from a DICE machine, using the submit command, as specified
below.
Part Submit command Marks
A submit inf2a cw1 MH_Lexer.java 35
B submit inf2a cw1 MH_Parser.java 30
C submit inf2a cw1 MH_Typechecker.java 25
D no further submission required 10
It is also possible to submit your solutions to parts A–C simultaneously:
submit inf2a cw1 MH_Lexer.java MH_Parser.java MH_Typechecker.java
Part D combines Parts A–C with the evaluator to create a full working implementation
of MH; it does not require any submission of its own.
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Part A: Lexing in Micro-Haskell [35 marks]
In this part, we construct a lexical analyser for MH. A general-purpose longest-match
lexer is already provided. Your task is to supply deterministic finite-state machines that
serve as recognizers for the various lexical classes in the language.
Look at the provided file GenLexer.java. It begins with some Java functions that
define certain useful classes of characters: letter ,small, large, digit,symbolic, whitespace,
newline. Next comes a Java interface DFA which defines the functionality that any fi-
nite state machine has to provide. Some of this is provided in the class Acceptor which
follows, but notice that this class contains stubs for five ‘abstract’ methods whose implementation
will be specific to the particular DFA in question. There then follow three examples
of how to construct implementations of particular DFAs: EvenLetterAcceptor,
AndAcceptor and SpaceAcceptor. Later in the file, the class DemoLexer illustrates how
these DFAs may be combined to yield a lexer for a simple (and silly) language, and the
class LexerDemo gives you a simple way of trying this out (the comments in the source
file explain how).
Notice that states are represented by integers, with 0 as the initial state. Besides
the transition operation and the set of accepting states, our DFAs here must also be
equipped with a designated dead (or “garbage”) state: that is, a non-accepting state
from which no sequence of transitions can lead to an accepting state. Note also that our
DFAs must include the method String lexClass(), which provides the name of the
lexical class they are associated with. This is done because we wish our lexer to output
a stream of tokens each tagged with their lexical class.
Your objective in Part A is to implement DFAs in the same style corresponding to
the lexical classes of Micro-Haskell. This is to be done in the file MH_Lexer.java, which
currently provides a template containing some gaps for you to fill in. For the first six of
these gaps, follow the pattern of the examples in GenLexer.java to construct DFAs for
the following lexical classes defined by regular expressions. (These correspond closely to
lexical classes of actual Haskell, except that we’ve chosen a slightly different definition
of the class NUM.)
A class VAR of variables, defined by
small (small + large + digit+')
A class NUM of numeric literals, defined by
0 + nonZeroDigit digit ?
where nonZeroDigit means what you think it does.
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A class BOOLEAN of boolean literals, defined by
True + False
A class SYM of symbolic tokens, defined by
symbolic symbolic?
A class of whitespace elements, defined by
whitespace whitespace?
A class of comments, defined by
- - -
(nonSymbolNewline nonNewline? + ε)
where nonSymbolNewline is the set of all characters except those of symbolic or
newline, and nonNewline is the set of all characters except those of newline. Note
that - - -
effectively means ‘two or more dashes’.
The names of the last two classes, implemented by the lexClass() method, should both
be the empty string. This will notify the lexer that tokens of these classes should be
discarded.
In addition to these classes, keywords such as if and special symbols such as ; will
require ‘singleton’ (i.e. one-element) lexical classes all to themselves. For this purpose,
we will provide a class tokAcceptor which, for any string tok that we supply, can
create a special DFA that accepts the string tok and no other strings. For instance, the
constructor call tokAcceptor("if") should create a DFA that accepts only the string
"if". Fill in the gap in the implementation of this class so as to achieve this behaviour.
(Note that this is quite different from the other classes above, in that we will be able to
create several objects of class tokAcceptor each implementing a different DFA.) Here
the name of the lexical class should be identical to the string itself — this will serve to
make the specific token we are dealing with visible to the parser.
The lexical classes we require for MH are now the six lexical classes listed above,
together with singleton classes for the five keywords Integer, Bool, if, then, else and
for the three special symbols (, ), ;.
Following the example of class DemoLexer in the file GenLexer.java, add a few
lines of code to construct acceptors for these fourteen classes, and put these together
in an array called MH_acceptors. The acceptors should be listed in order of priority,
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with highest priority first, which should be sensibly chosen so that keywords like if are
assigned an appropriate lexical class (so as to emulate the behaviour of an actual Haskell
implementation).
The MH_acceptors array is fed to a general-purpose routine that performs longestmatch
lexing (also known as maximal munch) using the method described in Lecture
7. Take a brief look at the code for this in GenLexer.java, and check that you broadly
understand what it is doing.
You should now be able to compile GenLexer.java and your file MH_Lexer.java to
create a lexer for MH. To test your lexer, you might wish to adapt the LexerDemo code
in GenLexer.java; this will allow you to create a simple command-line driven lexical
analyser for MH. You are not required to submit this test code, however.
Before leaving the topic of lexing, take a quick glance at the code provided in
CheckedSymbolLexer.java. This performs some mild post-processing on the stream
of lexical tokens: symbolic tokens are checked to ensure that they are among the tokens
that feature in MH:
:: -> = == <= + -
If they are, then the lexical classname SYM is replaced with the token itself, just as for
keywords and (, ), ;.
Submission: Submit your answer to part A, from a DICE machine, using the
command: submit inf2a cw1 MH_Lexer.java
Part B: An LL(1) parser for Micro-Haskell [30 marks]
Take a look at the provided file GenParser.java. This begins with an interface TREE
and a class STree for representing syntax trees (for any context-free grammar). The
class GenParser then provides an implementation of the general LL(1) parsing algorithm
as described in lectures (again, check that you broadly understand it).
In order to complete this and obtain a working parser, some grammar-specific ingredients
must be provided: a parse table and a choice of start symbol. The class
EvenAndParser gives a simple example of how to do this, for an artificial language that
uses the lexical classes defined in GenLexer.java. Note in particular the convention that
the names of nonterminals are identified by adding the symbol # (we can get away with
this because # doesn’t itself feature in any lexical tokens of MH). You can try out this
parser on the sample input file EvenAnd_example.txt, by compiling GenParser.java
and then typing
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Prog → | Decl Prog
Decl → TypeDecl TermDecl
TypeDecl → VAR :: Type ;
Type → Type0 TypeRest
TypeRest → | -> Type
Type0 → Integer | Bool | ( Type )
TermDecl → VAR Args = Exp ;
Args → | VAR Args
Exp → Exp0 | if Exp then Exp else Exp
Exp0 → Exp1 Rest0
Rest0 → | == Exp1 | <= Exp1
Exp1 → Exp2 Rest1
Rest1 → | + Exp2 Rest1 | - Exp2 Rest1
Exp2 → Exp3 Rest2
Rest2 → | Exp3 Rest2
Exp3 → VAR | NUM | BOOLEAN | ( Exp )
Figure 1: Grammar for Micro-Haskell
java ParserDemo EvenAnd_example.txt
Your task is to implement a similar working parser for the language MH, in the file
MH_Parser.java (which is discussed below), following the pattern of EvenAndParser.
Now we consider the grammar of MH itself. The terminal symbols are the names of
lexical classes in tokens output by CheckedSymbolLexer. The complete list of these is
as follows:
VAR NUM BOOLEAN Integer Bool if then else
( ) ; :: -> = == <= + -
The start symbol of the grammar is Prog, and the productions are as given in Figure 1.
(To reduce clutter, we omit the # symbol here, instead distinguishing nonterminals by
choice of font.)
If this grammar looks daunting at first, the following observations may be helpful:
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The grammar for types (i.e. the rules for Type, TypeRest, Type0 ) is a self-contained
sub-grammar that can be understood in isolation; see Lecture 14.
The grammar for expressions (the rules for all nonterminals from Exp onwards) is
another self-contained sub-grammar, and is broadly similar in its workings to the
LL(1) grammar for arithmetic expressions from Lecture 13. Note that the productions
for Exp2 and Rest2 are intended to cater for multiple function applications,
such as f x y.
It may be helpful to study the sample program in MH_example.txt in conjunction
with the grammar rules.
Once you feel you have assimilated the grammar, find yourself a large sheet of paper
and work out the complete LL(1) parse table. (Most of the entries will be blank, so
don’t panic!) You may find that some calculations of First and Follow sets (as presented
in Lecture 12) help you to do this; however, you will not be required to submit these
calculations or the written-out parse table you construct.
Now open the file MH_Parser.java. You will see that the right hand sides of all the
grammar rules have already been constructed for your convenience, so all you have to do
is to supply an implementation of the parse table itself in the style of EvenAndParser.
You may make use of auxiliary definitions and other reasonable devices to reduce the
amount of code you need to write, provided that your code remains clearly readable and
its correspondence to the parse table you have drawn up remains transparent.
After completing and compiling this, you will now be able to try out your parser on
the sample source file provided:
java MH_ParserDemo MH_example.txt
If this reports successful parsing, it’s an encouraging sign that your parser is largely
correct and will obtain a reasonable mark. However, to ensure it is completely correct,
you will have to do some further testing of your own, since (a) there are possible parsing
scenarios not represented by this small example, and (b) you will also need to ensure
that your parser rejects incorrect programs and that the error reports it produces are
reasonable.
Submission: Submit your answer to part B, from a DICE machine, using the
command: submit inf2a cw1 MH_Parser.java
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Part C: Typechecking for Micro-Haskell [25 marks]
In this section, you will implement critical parts of a typechecker for MH.
The LL(1) grammar we have been using serves to disambiguate inputs and make
them readily parseable; but once these issues have been got out of the way, it’s much
more convenient to work with simpler trees known as abstract syntax trees (ASTs) in
which extraneous detail has been stripped away. For example, as in Lecture 14, types
in MH are conceptually just trees for the grammar:
Type → Integer | Bool | Type -> Type
Look at the file MH_Type_Impl.java, which defines a Java representation of MH types
in this stripped-down form. The interface MH_TYPE declares various operations one can
perform on such types (check that you understand what they are intended to do), while
further down, the class MH_Type_Impl provides predefined constants for the MH types
Integer and Bool, as well as a constructor for building a function type (i.e. an arrow
type) from two previously existing MH types. In the typechecking code you will be
writing, these may be utilized as follows:
MH_Type_Impl.IntegerType ; // AST for Integer
MH_Type_Impl.BoolType; // AST for Bool
new MH_Type_Impl (t1,t2); // AST for (t1->t2)
Clearly, we will need a way to convert syntax trees as produced by the parser
into ASTs of this kind. This is done by the provided methods convertType and
convertType1 in MH_Type_Impl.java. A good warm-up to your own task would be
to try and understand the workings of convertType and convertType1 with the help
of the comments provided.
A similar notion of abstract syntax trees is also required for expressions (trees with
topmost label #Exp). In effect, ASTs for expressions are just trees for the simplified
grammar:
Exp → VAR | NUM | BOOLEAN | Exp Exp | Exp infix Exp | if Exp then Exp else Exp
where infix ranges over ==, <=, +, -. Look in the file MH_Exp_Impl.java at the interface
MH_EXP, which declares various operations that can be performed on such trees.
The intended meanings of these operations are all you need to understand from this
file (and you can ignore isLAMBDA and isREF). Their workings are further explained
by commented examples in the file MH_Exp_Impl.java immediately below the MH_EXP
interface. However, you don’t need to get to grips with the class MH_Exp_Impl, which
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contains (among other things) some code for converting trees returned by the parser
into ASTs for expressions.
Assuming the conversions to ASTs have already been done, your task is to write a
typechecker for ASTs, by completing the body of the method computeType in the file
MH_Typechecker.java. More precisely, your code should compute the MH type of an
expression given as an AST exp of Java type MH_EXP, returning the result as an AST of
Java type MH_TYPE. If the expression is not correctly typed, your code should flag up a
type error, which you can do by means of the command:
throw new TypeError ("blah blah") ;
Each time you include such a command, the string you supply should provide a brief
description of the nature of the type error in question. Such error messages should
be helpful to MH programmers who need to identify and correct type errors in their
programs.
There is one other important ingredient to be explained. The type of an expression
such as if x then y else z, or even whether it is well-typed at all, will depend on
the types ascribed to the variables x, y, z. In general, then, an expression exp will
have to be typechecked relative to a type environment which maps certain variables to
certain types associated with them. This is the purpose of env, the second argument to
computeType. You may access the type associated with the variable x, for instance, by
calling env.typeOf("x").
The definition of the type of an expression (if it has one) is given compositionally:
that is, it is computed from the types of its subexpressions. This will be reflected in the
recursive nature of your implementation of computeType: it should compute the type of
any subexpressions in order to obtain the type of the whole expression. Here are some
hints on how this should work:
1. The types of NUMs and BOOLEANs are what you think they are.
2. You should assume that each of the infix operations accepts only integer arguments;
however, the type of the resulting expression will depend on the infix
operation in question.
3. In an application expression e1 e2, the type of e2 should match the argument type
expected by e1, and you should think about what the type of the whole expression
will be.
4. An expression if e1 then e2 else e3 may in principle have any type; however, you
should consider what the types of e1, e2, e3 respectively will need to be in order for
the whole expression to have type t.
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A final hint on the Java side. To test whether two given type ASTs are equal, you
should use the equals method from the interface MH_TYPE, not the == operator.
As a rough guideline, the model implementation of computeType consists of about
40 lines of Java code.
When you have finished, compile the files MH_Type_Impl.java, MH_Exp_Impl.java
and MH_Typechecker.java (in that order), and try executing
java MH_Typechecker MH_example.txt
Once your typechecker works, this will report that the parse, type conversion and typecheck
have all been successful. To see what it is doing, look again at MH_example.txt.
The system is using your code to check that the right hand side of each function defi-
nition has the expected type relative to an environment that can be inferred from the
types specified in the MH code. (All this is managed by the remaining code in the file
MH_Typechecker.java.) You should also try out your typechecker on other MH programs
— including some that contain type errors to check that your code catches them
correctly and supplies appropriate error messages.
Submission: Submit your answer to part C, from a DICE machine, using the
command: submit inf2a cw1 MH_Typechecker.java
Part D: Execution of Micro-Haskell [10 marks]
This part of the practical puts all the pieces together to obtain a full working implementation
of Micro-Haskell.
The file MH_Evaluator.java contains a rudimentary evaluator for Micro-Haskell.
It uses the other parts of the practical to lex, parse and type-check a program, after
which, the resulting abstract syntax tree for the program is executed using a small-step
operational semantics (as will be covered in Lecture 28). This results in an implementation
that’s pretty slow compared with a real-world implementation of Haskell,1 but
its purpose is to illustrate how the basic principles of language processing feed into the
construction of a compiler/interpreter/evaluator. You are encouraged to take a brief
look at the evaluator source code to get a rough idea of how it works (this may become
clearer after Lecture 28). You will notice that the code here is relatively short: the bulk
of the work has already been done at earlier stages of the language processing pipeline.
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If you’re interested in how to produce a more efficient implementation, take the UG3 course on
Compiling Techniques next year.
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To use the evaluator, once you have completed the rest of the practical, compile
MH_Evaluator.java and then run it on the source file of your choice, e.g.:
java MH_Evaluator MH_example.txt
This will load and typecheck the MH program, and display a prompt MH>. Type in an
expression you would like to evaluate, and hit return. The expression may involve the
functions declared in your MH program. Do this as many times as you like; e.g.:
MH> 3+6
...
MH> fib 7
...
MH> gcd 104 (fib 12)
...
To quit, hit CTRL-c.
This last part of the assignment does not require you to do any further coding. Your
solutions to Parts A–C will be combined with the evaluator, and the resulting complete
implementation of MH will be marked for the correctness of its behaviour on a test
suite of five MH programs (different from those in MH_example.txt). However, in order
to gain assurance that your solutions to A–C will indeed combine to yield a correct
implementation of Micro-Haskell, you should spend a little time testing your complete
system on some small MH programs of your own devising (there is a certain amount of
fun to be had from this in any case). You should also be sure to test your system on a
sample of incorrect programs, to ensure that an appropriate error message is raised by
the lexer, parser or typechecker as appropriate.
Support for this assignment
The optional lab sessions in Weeks 5 and 6 will offer support for this assignment: lab
demonstrators will be on hand to help you, particularly with any Java programming
issues.
You may also post queries to the Piazza forum, but we would ask you to do so rather
sparingly: in some previous years, the volume of queries has been overwhelming for staff
and students alike! Please respect the following guidelines:
1. Do not post a query to the forum unless you have already spent a significant time
(say 40 minutes) trying to answer it yourself — by studying this handout or the
lecture slides, by searching the Web for relevant help, etc.
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2. Take care not to post any part of an actual solution — not even one line of code!
3. Feel free to answer queries from other students (whilst observing 2). This is much
appreciated by staff and will often mean the question gets answered more promptly.
4. Don’t post a query without first checking whether the same query has already
been posted and answered.2
5. Do keep your postings polite and respectful.3
Note on marking
Your submission will be marked by a human marker with the assistance of some autotesting
programs that will run your code on various test examples. If your code passes
all or most of these tests, the human marker’s job will be easy; but if not, the marker
may need to inspect your code to assess your level of understanding. It is therefore in
your interests to include at least a few comments in your code to show that you know
what you are doing (and commenting your code is good practice in any case).
Most critically, please, please ensure that your code compiles correctly (in conjunction
with the other source files provided) before you submit it! Very few marks will be
available for submissions that do not compile.
Mary Cryan, October 2018
http://www.daixie0.com/contents/9/1969.html
It’s in everyone’s interests to keep the forum traffic manageable: in previous years, the number of
postings was so daunting as to discourage students from scanning them all — they would then post
duplicate queries and the problem would snowball.
3Even though you are posting anonymously to your classmates, Shay and I can request information
about posters if the facility is abused!
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