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Chapter 2: A Simple One Pass Compiler

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Title: Chapter 2: A Simple One Pass Compiler


1
Chapter 2 A Simple One Pass Compiler
Prof. Steven A. Demurjian Computer Science
Engineering Department The University of
Connecticut 371 Fairfield Way, Unit 2155 Storrs,
CT 06269-3155
steve_at_engr.uconn.edu http//www.engr.uconn.edu/st
eve (860) 486 - 4818
Material for course thanks to Laurent
Michel Aggelos Kiayias Robert LeBarre
2
The Entire Compilation Process
  • Grammars for Syntax Definition
  • Syntax-Directed Translation
  • Parsing - Top Down Predictive
  • Pulling Together the Pieces
  • The Lexical Analysis Process
  • Symbol Table Considerations
  • A Brief Look at Code Generation
  • Concluding Remarks/Looking Ahead

3
Grammars for Syntax Definition
  • A Context-free Grammar (CFG) Is Utilized to
    Describe the Syntactic Structure of a Language
  • A CFG Is Characterized By
  • 1. A Set of Tokens or Terminal Symbols
  • 2. A Set of Non-terminals
  • 3. A Set of Production Rules Each Rule Has the
    FormNT ? T, NT
  • 4. A Non-terminal Designated As the Start Symbol

4
Grammars for Syntax DefinitionExample CFG
list ? list digit list ? list - digit list ?
digit digit ? 0 1 2 3 4 5 6 7 8
9 (the means OR) (So we could have
written list ? list digit list - digit
digit )
5
Grammars are Used to Derive Strings
Using the CFG defined on the previous slide, we
can derive the string 9 - 5 2 as
follows list ? list digit ? list -
digit digit ? digit - digit digit
? 9 - digit digit ? 9 - 5 digit
? 9 - 5 2
P1 list ? list digit P2 list ? list -
digit P3 list ? digit P4 digit ? 9 P4
digit ? 5 P4 digit ? 2
6
Grammars are Used to Derive Strings
This derivation could also be represented via a
Parse Tree (parents on left, children on right)
list ? list digit ? list - digit
digit ? digit - digit digit ? 9
- digit digit ? 9 - 5 digit ?
9 - 5 2
7
A More Complex Grammar
block ? begin opt_stmts end opt_stmts ?
stmt_list ? stmt_list ? stmt_list stmt
stmt
What is this grammar for ? What does ?
represent ? What kind of production rule is this ?
8
Defining a Parse Tree
  • More Formally, a Parse Tree for a CFG Has the
    Following Properties
  • Root Is Labeled With the Start Symbol
  • Leaf Node Is a Token or ?
  • Interior Node (Now Leaf) Is a Non-Terminal
  • If A ? x1x2xn, Then A Is an Interior
    x1x2xn Are Children of A and May Be
    Non-Terminals or Tokens

9
Other Important Concepts Ambiguity
Two derivations (Parse Trees) for the same token
string.
Grammar string ? string string string
string 0 1 9
Why is this a Problem ?
10
Other Important Concepts Associativity of
Operators
Left vs. Right
right ? letter right letter letter ? a b
c z
11
Other Important Concepts Operator Precedence
What does 9 5 2 mean?
( ) / -
is precedence order
Typically
This can be incorporated into a grammar via
rules
expr ? expr term expr term term term ?
term factor term / factor factor factor ?
digit ( expr ) digit ? 0 1 2 3 9
Precedemce Achieved by expr term for each
precedence level Rules for each are left
recursive or associate to the left
12
Syntax-Directed Translation
  • Associate Attributes With Grammar Rules
    Constructs and Translate As Parsing Occurs
  • Our Example Uses Infix to Postfix Notation
    Translation for Expressions
  • Translation May Be Defined Inductively As
    Postfix(e), E is an Expression

1. If E is a variable constant ? Postfix(E)
E 2. If E is E1 op E2 ? Postfix(E)
Postfix(E1 op E2) Postfix(E1)
Postfix(E2) op 3. If E is (E1) ? Postfix(E)
Postfix(E1)
Examples
( 9 5 ) 2 ? 9 5 2 9 ( 5 2 ) ? 9 5
2 -
13
Syntax-Directed Definition (2 parts)
  • Each Production Has a Set of Semantic Rules
  • Each Grammar Symbol Has a Set of Attributes
  • For the Following Example, String Attribute t
    is Associated With Each Grammar Symbol, i.e.,
  • What is a Derivation for 9 5 - 2?

14
Syntax-Directed Definition (2 parts)
  • Each Production Rule of the CFG Has a Semantic
    Rule
  • Note Semantic Rules for expr Use Synthesized
    Attributes Which Obtain Their Values From Other
    Rules.

15
Semantic Rules are Embedded in Parse Tree
  • How Do Semantic Rules Work ?
  • What Type of Tree Traversal is Being Performed?
  • How Can We More Closely Associate Semantic Rules
    With Production Rules ?

16
Examples
rest ? term rest ? rest ? term
print()rest (Print After term for
postfix translation)
17
Parsing Top-Down Predictive
  • Top-Down Parsing ? Parse tree / derivation of
    a token string occurs in a top down fashion.
  • For Example, Consider

type ? simple ? id
array simple of type simple ? integer
char num dotdot num
Suppose input is array num dotdot num
of integer The parse would begin with type ?
array simple of type
18
Top-Down Parse (type start symbol)
Input array num dotdot num of integer
Tokens
19
Top-Down Parse (type start symbol)
Input array num dotdot num of integer
20
Top-Down Process Recursive Descent or Predictive
Parsing
  • Parser Operates by Attempting to Match Tokens in
    the Input Stream
  • Utilize both Grammar and Input Below to Motivate
    Code for Algorithm

array num dotdot num of integer
type ? simple ? id
array simple of type simple ? integer
char num dotdot num
procedure match ( t token ) begin
if lookahead t then
lookahead nexttoken else
error end
21
Top-Down Algorithm (Continued)
procedure type begin if lookahead
is in integer, char, num then simple
else if lookahead ? then begin match
(? ) match( id ) end else if
lookahead array then begin
match( array ) match() simple match()
match(of) type end
else error end procedure simple
begin if lookahead integer then
match ( integer ) else if lookahead
char then match ( char ) else
if lookahead num then begin
match (num) match (dotdot) match
(num) end
else error end
22
Problem with Top Down Parsing
  • Left Recursion in CFG May Cause Parser to Loop
    Forever
  • Solution Algorithm to Remove Left Recursion

expr ? expr term expr - term term term
? 0 1 2 3 4 5 6 7 8 9
expr ? term rest rest ? term rest - term
rest ? term ? 0 1 2 3 4 5 6 7
8 9

New Semantic Actions !
rest ? term print() rest - term
print(-) rest ?
23
Comparing Grammarswith Left Recursion
  • Notice Location of Semantic Actions in Tree
  • What is Order of Processing?

24
Comparing Grammarswithout Left Recursion
  • Now, Notice Location of Semantic Actions in Tree
    for Revised Grammar
  • What is Order of Processing in this Case?

rest
25
The Lexical Analysis ProcessA Graphical Depiction
returns token to caller
uses getchar ( ) to read character
lexan ( ) lexical analyzer
pushes back c using ungetc (c , stdin)
tokenval
Sets global variable to attribute value
26
The Lexical Analysis ProcessFunctional
Responsibilities
  • Input Token String Is Broken Down
  • White Space and Comments Are Filtered Out
  • Individual Tokens With Associated Values Are
    Identified
  • Symbol Table Is Initialized and Entries Are
    Constructed for Each Appropriate Token
  • Under What Conditions will a Character be Pushed
    Back?
  • Can You Cite Some Examples in Programming
    Language Statements?

27
Algorithm for Lexical Analyzer
function lexan integer var lexbuf
array 0 .. 100 of char c
char begin loop begin
read a character into c
if c is a blank or a tab then
do nothing else if
c is a newline then
lineno lineno 1 else if
c is a digit then begin
set tokenval to the value of this and
following digits
return NUM end
28
Algorithm for Lexical Analyzer
else if c is a letter then
begin place c and
successive letters and digits into lexbuf
p lookup ( lexbuf )
if p 0 then
p iinsert ( lexbf,
ID) tokenval p
return the token field of
table entry p end
else / token is a single character /
set tokenval to NONE /
there is no attribute /
return integer encoding of character c
end end
Note Insert / Lookup operations occur against
the Symbol Table !
29
Symbol Table Considerations
OPERATIONS Insert (string, token_ID)
Lookup (string) NOTICE
Reserved words are placed into
symbol table for easy
lookup Attributes may be associated with each
entry, i.e.,
Semantic Actions
Typing Info id ? integer
etc.
ARRAY symtable lexptr
token attributes
div mod
id id
0 1 2 3 4




ARRAY lexemes
30
A Brief Look at Code Generation
  • Back-end of Compilation Process - Which Will Not
    Be Our Emphasis
  • Well Focus on Front-end
  • Important Concepts to Re-emphasize

Abstract Syntax Machine for Intermediate
Code Generation L-value Vs.
R-value I 5 L
- Location I I 1
R - Contents May Be Attributes in Symbol
Table
31
A Brief Look at Code Generation
  • Employ Statement Templates for Code Generation.
  • Each Template Characterizes the Translation
  • Different Templates for Each Major Programming
    Language Construct, if, while, procedure, etc.

WHILE
IF
label test
code for expr
code for expr
gofalse out
gofalse out
code for stmt
code for stmt
label out
goto test
label out
32
Concluding Remarks / Looking Ahead
  • Weve Reviewed / Highlighted Entire Compilation
    Process
  • Introduced Context-free Grammars (CFG) and
    Indicated /Illustrated Relationship to Compiler
    Theory
  • Reviewed Many Different Versions of Parse Trees
    That Assist in Both Recognition and Translation
  • Well Return to Beginning - Lexical Analysis
  • Well Explore Close Relationship of Lexical
    Analysis to Regular Expressions, Grammars, and
    Finite Automatons
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