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Chapter 2: A Simple One Pass Compiler
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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
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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 Form NT {T, NT}* 4. A Non-terminal Designated As the Start Symbol
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Grammars for Syntax Definition Example 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 )
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Grammars are Used to Derive Strings:
Using the CFG defined on the previous slide, we can derive the string: as follows: list list + digit list - digit + digit digit - digit + digit 9 - digit + digit digit P1 : list list + digit P2 : list list - digit P3 : list digit P4 : digit 9 P4 : digit 5 P4 : digit 2
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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 digit list digit 9 5 2 - +
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A More Complex Grammar What is this grammar for ?
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 ?
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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 x1x2…xn, Then A Is an Interior; x1x2…xn Are Children of A and May Be Non-Terminals or Tokens
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Other Important Concepts Ambiguity
Two derivations (Parse Trees) for the same token string. string - 9 + 5 2 string + 2 - 5 9 Grammar: string string + string | string – string | 0 | 1 | …| 9 Why is this a Problem ?
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Other Important Concepts Associativity of Operators
Left vs. Right right letter c b a = list digit 9 5 2 - + list list + digit | | list - digit | digit digit 0 | 1 | 2 | …| 9 right letter = right | letter letter a | b | c | …| z
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Embedding Associativity
The language of arithmetic expressions with + - (ambiguous) grammar that does not enforce associativity string string + string | string – string | 0 | 1 | …| 9 non-ambiguous grammar enforcing left associativity (parse tree will grow to the left) string string + digit | string - digit | digit digit 0 | 1 | 2 | …| 9 non-ambiguous grammar enforcing right associativity (parse tree will grow to the right) string digit + string | digit - string | digit
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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 Precedence Achieved by: expr & term for each precedence level Rules for each are left recursive or associate to the left
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Syntax-Directed Translation
Associate Attributes With Grammar Rules & Constructs and Translate As Parsing Occurs The translation will follow the parse tree structure (and as a result the structure and form of the parse tree will affect the translation). First example: Inductive Translation. Infix to Postfix Notation Translation for Expressions Translation defined inductively As: Postfix(E) where E is an Expression. Rules 1. If E is a variable or constant then Postfix(E) = E 2. If E is E1 op E2 then Postfix(E) = Postfix(E1 op E2) = Postfix(E1) Postfix(E2) op 3. If E is (E1) then Postfix(E) = Postfix(E1)
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Examples Postfix( ( 9 – 5 ) + 2 )
= Postfix( ( 9 – 5 ) ) Postfix( 2 ) + = Postfix( 9 – 5 ) Postfix( 2 ) + = Postfix( 9 ) Postfix( 5 ) - Postfix( 2 ) + = 9 5 – 2 + Postfix(9 – ( ) ) = Postfix( 9 ) Postfix( ( ) ) - = Postfix( 9 ) Postfix( ) – = Postfix( 9 ) Postfix( 5 ) Postfix( 2 ) + – = –
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Syntax-Directed Definition
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 recall: a Derivation for ? expr expr – term | expr + term | term term 0 | 1 | 2 | 3 | … | 9 expr expr - term expr + term - term term + term - term 9 + term - term term
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Syntax-Directed Definition (2)
Each Production Rule of the CFG Has a Semantic Rule Note: Semantic Rules for expr define t as a “synthesized attribute” i.e., the various copies of t obtain their values from “children t’s” Production Semantic Rule expr expr + term expr.t := expr.t || term.t || ‘+’ expr expr – term expr.t := expr.t || term.t || ’-’ expr term expr.t := term.t term term.t := ‘0’ term term.t := ‘1’ … …. term term.t := ‘9’
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Semantic Rules are Embedded in Parse Tree
expr.t =95- expr.t =9 expr.t =95-2+ term.t =5 term.t =2 term.t =9 2 + 5 - 9 How Do Semantic Rules Work ? What Type of Tree Traversal is Being Performed? How Can We More Closely Associate Semantic Rules With Production Rules ? (“postorder depth-first”)
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Translation Schemes Embed Semantic Actions into the right sides of the productions. expr expr + term {print(‘+’)} expr - term {print(‘-’)} term term {print(‘0’)} term {print(‘1’)} … term {print(‘9’)} term expr 9 5 2 - + {print(‘-’)} {print(‘9’)} {print(‘5’)} {print(‘2’)} {print(‘+’)}
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Parsing – Top-Down & Predictive
Top-Down Parsing Parse tree / derivation of a token string occurs in a top down fashion. For Example, Consider: Start symbol type simple | id | array [ simple ] of type simple integer | char | num dotdot num Suppose input is : array [ num dotdot num ] of integer Parsing would begin with type ???
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Top-Down Parse (type = start symbol)
Lookahead symbol Input : array [ num dotdot num ] of integer type ? type ] simple of [ array type simple | id | array [ simple ] of type simple integer | char | num dotdot num Start symbol Lookahead symbol Input : array [ num dotdot num ] of integer type ] simple of [ array num dotdot
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Top-Down Parse (type = start symbol)
Lookahead symbol Input : array [ num dotdot num ] of integer type ] simple of [ array num dotdot type simple | id | array [ simple ] of type simple integer | char | num dotdot num Start symbol type ] simple of [ array num dotdot integer
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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 ;
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Top-down algorithm (continued)
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 ; type simple | id | array [ simple ] of type simple integer | char | num dotdot num
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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 ; type simple | id | array [ simple ] of type simple integer | char | num dotdot num
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Tracing type simple | id | array [ simple ] of type simple integer | char | num dotdot num Input: array [ num dotdot num ] of integer To initialize the parser: set global variable : lookahead = array call procedure: type Procedure call to type with lookahead = array results in the actions: match( array ); match(‘[‘); simple; match(‘]’); match(of); type Procedure call to simple with lookahead = num results in the actions: match (num); match (dotdot); match (num) Procedure call to type with lookahead = integer results in the actions: simple Procedure call to simple with lookahead = integer results in the actions: match ( integer )
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Limitations Can we apply the previous technique to every grammar? NO:
type simple | array [ simple ] of type simple integer | array digit digit 0|1|2|3|4|5|6|7|8|9 consider the string “array 6” the predictive parser starts with type and lookahead= array apply production type simple OR type array digit ??
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Designing a Predictive Parser
Consider A FIRST()=set of leftmost tokens that appear in or in strings generated by . E.g. FIRST(type)={,array,integer,char,num} Consider productions of the form A, A the sets FIRST() and FIRST() should be disjoint Then we can implement predictive parsing (initially: start NT + lookahead=lefmost) Starting with A? we find into which FIRST() set the lookahead symbol belongs to and we use this production. Any non-terminal results in the corresponding procedure call Terminals are matched.
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Problems with Top Down Parsing
Left Recursion in CFG May Cause Parser to Loop Forever. Indeed: In the production AA we write the program procedure A { if lookahead belongs to First(A) then call the procedure A } Solution: Remove Left Recursion... without changing the Language defined by the Grammar.
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Dealing with Left recursion
Solution: Algorithm to Remove Left Recursion: BASIC IDEA: AA| becomes A R R R| 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 |
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What happens to semantic actions?
expr expr + term {print(‘+’)} expr - term {print(‘-’)} term term {print(‘0’)} term {print(‘1’)} … term {print(‘9’)} expr term rest rest + term {print(‘+’)} rest - term {print(‘-’)} rest term {print(‘0’)} term {print(‘1’)} … term {print(‘9’)}
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Comparing Grammars with Left Recursion
Notice Location of Semantic Actions in Tree What is Order of Processing? expr term {print(‘2’)} {print(‘+’)} {print(‘5’)} {print(‘-’)} {print(‘9’)} 5 + 2 - 9
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Comparing Grammars without Left Recursion
Now, Notice Location of Semantic Actions in Tree for Revised Grammar What is Order of Processing in this Case? {print(‘2’)} expr term term {print(‘-’)} term {print(‘+’)} {print(‘5’)} {print(‘9’)} rest 2 5 - 9 + rest
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The Lexical Analysis Process A 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
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The Lexical Analysis Process Functional 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?
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Example of a Lexical Analyzer
function lexan: integer ; var lexbuf : array[ ] 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
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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 : = insert ( lexbf, ID) ; tokenval : = p return the token field of table entry p end else set tokenval to NONE ; / * there is no attribute * / return integer encoding of character c Note: Insert / Lookup operations occur against the Symbol Table !
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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 1 2 3 4 d i v EOS m o d EOS c o u n t EOS i EOS ARRAY lexemes
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A Brief Look at Code Generation
Back-end of Compilation Process - Which Will Not Be Our Emphasis We’ll Focus on Front-end Important Concepts to Re-emphasize •• Abstract Stack Machine for Intermediate Code Generation: (i) basic arithmetic, (ii) stack, (iii), flow control •• L-value Vs. R-value of an identifier I : = 5 ; L - Location I : = I + 1 ; R - Contents
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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
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Concluding Remarks / Looking Ahead
We’ve 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 We’ll Return to Beginning - Lexical Analysis We’ll Explore Close Relationship of Lexical Analysis to Regular Expressions, Grammars, and Finite Automatons
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