LL and Recursive-Descent Parsing Hal Perkins Autumn 2011

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Presentation transcript:

LL and Recursive-Descent Parsing Hal Perkins Autumn 2011 CSE P 501 – Compilers LL and Recursive-Descent Parsing Hal Perkins Autumn 2011 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Agenda Top-Down Parsing Predictive Parsers LL(k) Grammars Recursive Descent Grammar Hacking Left recursion removal Factoring 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Basic Parsing Strategies (1) Bottom-up Build up tree from leaves Shift next input or reduce a handle Accept when all input read and reduced to start symbol of the grammar LR(k) and subsets (SLR(k), LALR(k), …) remaining input 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Basic Parsing Strategies (2) Top-Down Begin at root with start symbol of grammar Repeatedly pick a non-terminal and expand Success when expanded tree matches input LL(k) A 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Top-Down Parsing Situation: have completed part of a derivation S =>* wA =>* wxy Basic Step: Pick some production A ::= 1 2 … n that will properly expand A to match the input Want this to be deterministic A 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Predictive Parsing If we are located at some non-terminal A, and there are two or more possible productions A ::=  A ::=  we want to make the correct choice by looking at just the next input symbol If we can do this, we can build a predictive parser that can perform a top-down parse without backtracking 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Example Programming language grammars are often suitable for predictive parsing Typical example stmt ::= id = exp ; | return exp ; | if ( exp ) stmt | while ( exp ) stmt If the first part of the unparsed input begins with the tokens IF LPAREN ID(x) … we should expand stmt to an if-statement 1/1/2019 © 2002-11 Hal Perkins & UW CSE

LL(k) Property A grammar has the LL(1) property if, for all non-terminals A, if productions A ::=  and A ::=  both appear in the grammar, then it is the case that FIRST() FIRST() = Ø If a grammar has the LL(1) property, we can build a predictive parser for it that uses 1-symbol lookahead 1/1/2019 © 2002-11 Hal Perkins & UW CSE

LL(k) Parsers An LL(k) parser Scans the input Left to right Constructs a Leftmost derivation Looking ahead at most k symbols 1-symbol lookahead is enough for many practical programming language grammars LL(k) for k>1 is rare in practice 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Table-Driven LL(k) Parsers As with LR(k), a table-driven parser can be constructed from the grammar Example 1. S ::= ( S ) S 2. S ::= [ S ] S 3. S ::= ε Table ( ) [ ] $ S 1 3 2 1/1/2019 © 2002-11 Hal Perkins & UW CSE

LL vs LR (1) Table-driven parsers for both LL and LR can be automatically generated by tools LL(1) has to make a decision based on a single non-terminal and the next input symbol LR(1) can base the decision on the entire left context (i.e., contents of the stack) as well as the next input symbol 1/1/2019 © 2002-11 Hal Perkins & UW CSE

LL vs LR (2)  LR(1) is more powerful than LL(1) Includes a larger set of languages  (editorial opinion) If you’re going to use a tool-generated parser, might as well use LR But there are some very good LL parser tools out there (ANTLR, JavaCC, …) that might win for non- LL vs LR reasons 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Recursive-Descent Parsers An advantage of top-down parsing is that it is easy to implement by hand Key idea: write a function (procedure, method) corresponding to each non-terminal in the grammar Each of these functions is responsible for matching its non-terminal with the next part of the input 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Example: Statements Grammar stmt ::= id = exp ; | return exp ; | if ( exp ) stmt | while ( exp ) stmt Method for this grammar rule // parse stmt ::= id=exp; | … void stmt( ) { switch(nextToken) { RETURN: returnStmt(); break; IF: ifStmt(); break; WHILE: whileStmt(); break; ID: assignStmt(); break; } 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Example (cont) // parse while (exp) stmt void whileStmt() { // skip “while (” getNextToken(); // parse condition exp(); // skip “)” // parse stmt stmt(); } // parse return exp ; void returnStmt() { // skip “return” getNextToken(); // parse expression exp(); // skip “;” } 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Invariant for Functions The parser functions need to agree on where they are in the input Useful invariant: When a parser function is called, the current token (next unprocessed piece of the input) is the token that begins the expanded non-terminal being parsed Corollary: when a parser function is done, it must have completely consumed input correspond to that non-terminal 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Possible Problems Two common problems for recursive-descent (and LL(1)) parsers Left recursion (e.g., E ::= E + T | …) Common prefixes on the right hand side of productions 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Left Recursion Problem Grammar rule expr ::= expr + term | term And the bug is???? Code // parse expr ::= … void expr() { expr(); if (current token is PLUS) { getNextToken(); term(); } 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Left Recursion Problem If we code up a left-recursive rule as-is, we get an infinite recursion Non-solution: replace with a right-recursive rule expr ::= term + expr | term Why isn’t this the right thing to do? 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Left Recursion Solution Rewrite using right recursion and a new non-terminal Original: expr ::= expr + term | term New expr ::= term exprtail exprtail ::= + term exprtail | ε Properties No infinite recursion if coded up directly Maintains left associatively (required) 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Another Way to Look at This Observe that expr ::= expr + term | term generates the sequence (… ((term + term) + term) + …) + term We can sugar the original rule to show this expr ::= term { + term }* This leads directly to parser code Just be sure to do the correct thing to handle associativity as the terms are parsed 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Code for Expressions (1) // parse // expr ::= term { + term }* void expr() { term(); while (next symbol is PLUS) { getNextToken(); term() } // parse // term ::= factor { * factor }* void term() { factor(); while (next symbol is TIMES) { getNextToken(); factor() } 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Code for Expressions (2) // parse // factor ::= int | id | ( expr ) void factor() { switch(nextToken) { case INT: process int constant; getNextToken(); break; … case ID: process identifier; getNextToken(); break; case LPAREN: expr(); } 1/1/2019 © 2002-11 Hal Perkins & UW CSE

What About Indirect Left Recursion? A grammar might have a derivation that leads to a left recursion A => 1 =>* n => A  There are systematic ways to factor such grammars See any compiler or formal language book 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Left Factoring If two rules for a non-terminal have right hand sides that begin with the same symbol, we can’t predict which one to use Solution: Factor the common prefix into a separate production 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Left Factoring Example Original grammar stmt ::= if ( expr ) stmt | if ( expr ) stmt else stmt Factored grammar stmt ::= if ( expr ) stmt ifTail ifTail ::= else stmt | ε 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Parsing if Statements But it’s easiest to just code up the “else matches closest if” rule directly // parse // if (expr) stmt [ else stmt ] void ifStmt() { getNextToken(); expr(); stmt(); if (next symbol is ELSE) { } 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Another Lookahead Problem In languages like FORTRAN, parentheses are used for array subscripts A FORTRAN grammar includes something like factor ::= id ( subscripts ) | id ( arguments ) | … When the parser sees “id (”, how can it decide whether this begins an array element reference or a function call? 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Two Ways to Handle id ( ? ) Use the type of id to decide Requires declare-before-use restriction if we want to parse in 1 pass Use a covering grammar factor ::= id ( commaSeparatedList ) | … and fix later when more information is available 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Top-Down Parsing Concluded Works with a smaller set of grammars than bottom-up, but can be done for most sensible programming language constructs If you need to write a quick-n-dirty parser, recursive descent is often the method of choice 1/1/2019 © 2002-11 Hal Perkins & UW CSE

Parsing Concluded That’s it! On to the rest of the compiler Coming attractions Intermediate representations (ASTs etc.) Semantic analysis (including type checking) Symbol tables & more… 1/1/2019 © 2002-11 Hal Perkins & UW CSE