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Course Overview

Course Overview. PART I: overview material 1 Introduction 2 Language processors (tombstone diagrams, bootstrapping) 3 Architecture of a compiler PART II: inside a compiler 4 Syntax analysis 5 Contextual analysis 6 Runtime organization 7 Code generation PART III: conclusion

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Course Overview

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  1. Course Overview PART I: overview material 1 Introduction 2 Language processors (tombstone diagrams, bootstrapping) 3 Architecture of a compiler PART II: inside a compiler 4 Syntax analysis 5 Contextual analysis 6 Runtime organization 7 Code generation PART III: conclusion • Interpretation • Review

  2. Nullable, First sets (starter sets), and Follow sets • A non-terminal is nullable if it derives the empty string • First(N) or starters(N) is the set of all terminals that can begin a sentence derived from N • Follow(N) is the set of terminals that can follow N in some sentential form Next we will see algorithms to compute each of these.

  3. Algorithm for computing Nullable For each terminal t Nullable(t) = false For each non-terminal N Nullable(N) = is there a production N ::=  ? Repeat For each production N ::= x1 x2 x3 … xn If Nullable(xi) for all of xi then set Nullable(N) to true Until nothing new becomes Nullable

  4. Generalizing the definition of Nullable Define Nullable(x1 x2 x3 … xn) as: if n==0 then true else if !Nullable(x1) then false else Nullable(x2 x3 … xn)

  5. Algorithm for computing First sets For each terminal t First(t) = { t } For each non-terminal N First(N) = { } Repeat For each production N ::= x1 x2 x3 … xn First(N) = First(N)  First(x1) For each i from 2 through n If Nullable(x1 … xi-1), then First(N) = First(N)  First(xi) Until no First set changes

  6. Generalizing the definition of First sets Define First(x1 x2 x3 … xn) as: if !Nullable(x1) then First(x1) else First(x1)  First(x2 x3 … xn) Note: some textbooks add  (empty string) to First(N) whenever N is nullable, so that First(N) is never { } (empty set)

  7. Algorithm for computing Follow sets Follow(S) = {$} // the end-of-file symbol For each non-terminal N other than S Follow(N) = { } Repeat For each production N ::= x1 x2 x3 … xn For each i from 1 through n-1 if xi is a non-terminal then Follow(xi) = Follow(xi)  First(xi+1 … xn) For each i from n downto 1 if xi is a non-terminal and Nullable(xi+1 … xn) then Follow(xi) = Follow(xi)  Follow(N) Until no Follow set changes

  8. Example of computing Nullable, First, Follow S ::= TUVW | WVUT T ::= aT | e U ::= Ub | f V ::= cV |  W ::= Wd | 

  9. Parsing We will now look at parsing. Topics: • Some terminology • Different types of parsing strategies • bottom up • top down • Recursive descent parsing • What is it • How to implement a parser given an EBNF specification

  10. Parsing: Some Terminology • Recognition To answer the question “does the input conform to the syntax of the language” • Parsing Recognition + also determine structure of program (for example by creating an AST data structure) • Unambiguous grammar: A grammar is unambiguous if there is only at most one way to parse any input. (i.e. for syntactically correct program there is precisely one parse tree)

  11. Different kinds of Parsing Algorithms • Two big groups of algorithms can be distinguished: • bottom up strategies • top down strategies • Example: parsing of “Micro-English” Sentence ::= Subject Verb Object . Subject ::= I | ANoun | TheNoun Object ::= me | aNoun | the Noun Noun ::= cat | bat| rat Verb ::= like| is | see | sees The cat sees the rat. The rat sees me. I like a cat. The rat like me. I see the rat. I sees a rat.

  12. Sentence Subject Object Noun Verb Noun Bottom up parsing The parse tree “grows” from the bottom (leafs) up to the top (root). The The cat cat sees sees a a rat rat . .

  13. Sentence Subject Subject Verb Verb Object Object . Noun Noun Noun Noun The cat sees a rat . Top-down parsing The parse tree is constructed starting at the top (root). Sentence The The cat cat sees sees a rat rat . .

  14. Quick review • Syntactic analysis • Lexical analysis • Group letters into words (or group characters into tokens) • Use regular expressions and deterministic FSM’s • Grammar transformations • Left-factoring • Left-recursion removal • Substitution • Parsing = structural analysis of program • Group words into sentences, paragraphs, and documents (or tokens into expressions, commands, and programs) • Top-Down and Bottom-Up

  15. Recursive Descent Parsing • Recursive descent parsing is a straightforward top-down parsing algorithm. • We will now look at how to develop a recursive descent parser from an EBNF specification. • Idea: the parse tree structure corresponds to the recursive calling structure of parsing functions that call each other.

  16. Recursive Descent Parsing Sentence ::= Subject Verb Object . Subject ::= I | ANoun | TheNoun Object ::= me | aNoun | the Noun Noun ::= cat | bat| rat Verb ::= like| is | see | sees Define a procedure parseN for each non-terminal N private void parseSentence( ) ; private void parseSubject( ); private void parseObject( ); private void parseNoun( ); private void parseVerb( );

  17. Recursive Descent Parsing public class MicroEnglishParser { private TerminalSymbol currentTerminal; //Auxiliary methods will go here ... //Parsing methods will go here ... }

  18. Recursive Descent Parsing: Auxiliary Methods public class MicroEnglishParser { private TerminalSymbol currentTerminal; private void accept (TerminalSymbol expected) { if (currentTerminal matchesexpected) currentTerminal = next input terminal; else report a syntax error } ... }

  19. Recursive Descent Parsing: Parsing Methods Sentence ::= Subject Verb Object . private void parseSentence( ) { parseSubject( ); parseVerb( ); parseObject( ); accept(‘.’); }

  20. Recursive Descent Parsing: Parsing Methods Subject ::= I | ANoun | TheNoun private void parseSubject( ) { if (currentTerminal matches‘I’) accept(‘I’); else if (currentTerminal matches‘A’) { accept(‘A’); parseNoun( ); } else if (currentTerminal matches‘The’) { accept(‘The’); parseNoun( ); } else report a syntax error }

  21. Recursive Descent Parsing: Parsing Methods Noun ::= cat | bat| rat private void parseNoun( ) { if (currentTerminal matches‘cat’) accept(‘cat’); else if (currentTerminal matches‘bat’) accept(‘bat’); else if (currentTerminal matches‘rat’) accept(‘rat’); else report a syntax error }

  22. Recursive Descent Parsing: Parsing Methods Object ::= me | aNoun | the Noun Verb ::= like| is | see | sees private void parseObject( ) { ? } private void parseVerb( ) { ? } Test yourself: Can you complete parseObject( ) and parseVerb( ) ?

  23. Systematic Development of Rec. Descent Parser (1) Express grammar in EBNF (2) Grammar Transformations: Left factorization and Left recursion elimination (3) Create a parser class with • private variable currentToken • methods to call the scanner: accept and acceptIt (4) Implement a public method for main function to call: • public parsemethod that • fetches the first token from the scanner • calls parseS (where S is start symbol of the grammar) • verifies that scanner next produces the end–of–file token (5) Implement private parsing methods: • add private parseN method for each non terminal N

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