DOC PREVIEW
Princeton COS 320 - Compilers

This preview shows page 1-2-3-4-5-32-33-34-35-65-66-67-68-69 out of 69 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 69 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

COS 320 CompilersThe Front EndParsing with CFGsContext-Free GrammarsSlide 5Slide 6Slide 7Slide 8Slide 9Slide 10Slide 11Slide 12Slide 13Slide 14Slide 15Parse TreesSlide 17Slide 18Slide 19Ambiguous GrammarsSlide 21Slide 22Slide 23Building ParsersRecursive Descent ParsingSlide 26Slide 27Slide 28Slide 29Slide 30problemsolutioneliminating left-recursion in generalSlide 34Constructing RD ParsersSlide 36Constructing Predictive ParsersSlide 38Slide 39Slide 40Constricting Predictive ParsersIterative AnalysisSlide 43Computing Nullable SetsComputing First SetsComputing Follow Setsbuilding a predictive parserSlide 48Slide 49Slide 50Slide 51Slide 52Slide 53Slide 54Slide 55Slide 56Slide 57Slide 58Slide 59Slide 60Slide 61Slide 62Slide 63Slide 64Slide 65predictive parsing tablesanother trickSlide 68summaryCOS 320CompilersDavid WalkerThe Front End•Lexical Analysis: Create sequence of tokens from characters (Chap 2)•Syntax Analysis: Create abstract syntax tree from sequence of tokens (Chap 3)•Type Checking: Check program for well-formedness constraintsLexer Parserstream ofcharactersstream oftokensabstractsyntaxTypeCheckerParsing with CFGs•Context-free grammars are (often) given by BNF expressions (Backus-Naur Form)–Appel Chap 3.1•More powerful than regular expressions–Matching parens–Nested comments•wait, we could do nested comments with ML-LEX!•CFGs are good for describing the overall syntactic structure of programs.Context-Free Grammars•Context-free grammars consist of:–Set of symbols:•terminals that denotes token types•non-terminals that denotes a set of strings–Start symbol–Rules:•left-hand side: non-terminal•right-hand side: terminals and/or non-terminals•rules explain how to rewrite non-terminals (beginning with start symbol) into terminalssymbol ::= symbol symbol ... symbolContext-Free GrammarsA string is in the language of the CFG if only if it is possible to derive that string using the following non-deterministic procedure:1. begin with the start symbol2. while any non-terminals exist, pick a non-terminal and rewrite it using a rule3. stop when all you have left are terminals (and check you arrived at the string your were hoping to)Parsing is the process of checking that a string is in the CFG for your programming language. It is usually coupled with creating an abstract syntax tree.non-terminals: S, E, Elistterminals: ID, NUM, PRINT, +, :=, (, ), ;rules:S ::= S; SS ::= ID := ES ::= PRINT ( Elist ) E ::= IDE ::= NUME ::= E + EE ::= ( S , Elist ) Elist ::= EElist ::= Elist , Enon-terminals: S, E, Elistterminals: ID, NUM, PRINT, +, :=, (, ), ;rules:1. S ::= S; S2. S ::= ID := E3. S ::= PRINT ( Elist ) 4. E ::= ID5. E ::= NUM6. E ::= E + E7. E ::= ( S , Elist ) 8. Elist ::= E9. Elist ::= Elist , EID = NUM ; PRINT ( NUM )Derive me!non-terminals: S, E, Elistterminals: ID, NUM, PRINT, +, :=, (, ), ;rules:1. S ::= S; S2. S ::= ID := E3. S ::= PRINT ( Elist ) 4. E ::= ID5. E ::= NUM6. E ::= E + E7. E ::= ( S , Elist ) 8. Elist ::= E9. Elist ::= Elist , ES ID = NUM ; PRINT ( NUM )Derive me!non-terminals: S, E, Elistterminals: ID, NUM, PRINT, +, :=, (, ), ;rules:1. S ::= S; S2. S ::= ID := E3. S ::= PRINT ( Elist ) 4. E ::= ID5. E ::= NUM6. E ::= E + E7. E ::= ( S , Elist ) 8. Elist ::= E9. Elist ::= Elist , ESID = E ID = NUM ; PRINT ( NUM )Derive me!non-terminals: S, E, Elistterminals: ID, NUM, PRINT, +, :=, (, ), ;rules:1. S ::= S; S2. S ::= ID := E3. S ::= PRINT ( Elist ) 4. E ::= ID5. E ::= NUM6. E ::= E + E7. E ::= ( S , Elist ) 8. Elist ::= E9. Elist ::= Elist , ESID = E ID = NUM ; PRINT ( NUM )Derive me!oops,can’t makeprogressnon-terminals: S, E, Elistterminals: ID, NUM, PRINT, +, :=, (, ), ;rules:1. S ::= S; S2. S ::= ID := E3. S ::= PRINT ( Elist ) 4. E ::= ID5. E ::= NUM6. E ::= E + E7. E ::= ( S , Elist ) 8. Elist ::= E9. Elist ::= Elist , ESID = NUM ; PRINT ( NUM )Derive me!non-terminals: S, E, Elistterminals: ID, NUM, PRINT, +, :=, (, ), ;rules:1. S ::= S; S2. S ::= ID := E3. S ::= PRINT ( Elist ) 4. E ::= ID5. E ::= NUM6. E ::= E + E7. E ::= ( S , Elist ) 8. Elist ::= E9. Elist ::= Elist , ESS ; SID = NUM ; PRINT ( NUM )Derive me!non-terminals: S, E, Elistterminals: ID, NUM, PRINT, +, :=, (, ), ;rules:1. S ::= S; S2. S ::= ID := E3. S ::= PRINT ( Elist ) 4. E ::= ID5. E ::= NUM6. E ::= E + E7. E ::= ( S , Elist ) 8. Elist ::= E9. Elist ::= Elist , ESS ; SID := E ; SID = NUM ; PRINT ( NUM )Derive me!non-terminals: S, E, Elistterminals: ID, NUM, PRINT, +, :=, (, ), ;rules:1. S ::= S; S2. S ::= ID := E3. S ::= PRINT ( Elist ) 4. E ::= ID5. E ::= NUM6. E ::= E + E7. E ::= ( S , Elist ) 8. Elist ::= E9. Elist ::= Elist , ESS ; SID = E ; SID = NUM ; SID = NUM ; PRINT ( Elist )ID = NUM ; PRINT ( E )ID = NUM ; PRINT ( NUM )Derive me!non-terminals: S, E, Elistterminals: ID, NUM, PRINT, +, :=, (, ), ;rules:1. S ::= S; S2. S ::= ID := E3. S ::= PRINT ( Elist ) 4. E ::= ID5. E ::= NUM6. E ::= E + E7. E ::= ( S , Elist ) 8. Elist ::= E9. Elist ::= Elist , ESS ; SID = E ; SID = NUM ; SID = NUM ; PRINT ( Elist )ID = NUM ; PRINT ( E )ID = NUM ; PRINT ( NUM )Another way toderive thesame stringSS ; SS ; PRINT ( Elist )S ; PRINT ( E )S ; PRINT ( NUM )ID = E ; PRINT ( NUM )ID = NUM ; PRINT ( NUM )left-most derivation right-most derivationParse Trees•Representing derivations as trees–useful in compilers: Parse trees correspond quite closely (but not exactly) with abstract syntax trees we’re trying to generate•difference: abstract syntax vs concrete (parse) syntax•each internal node is labeled with a non-terminal•each leaf note is labeled with a terminal•each use of a rule in a derivation explains how to generate children in the parse tree from the parentsParse Trees•Example:SS SIDE:=NUMNUMEL )(PRINT;SS ; SID = E ; SID = NUM ; SID = NUM ; PRINT ( Elist )ID = NUM ; PRINT ( E )ID = NUM ; PRINT ( NUM )Parse Trees•Example: 2 derivations, but 1 treeSS SIDE:=NUMNUMEL )(PRINT;SS ; SID = E ; SID = NUM ; SID = NUM ; PRINT ( Elist )ID = NUM ; PRINT ( E )ID = NUM ; PRINT ( NUM )SS ; SS ; PRINT ( Elist )S ; PRINT ( E )S ; PRINT ( NUM )ID = E ; PRINT ( NUM )ID = NUM ; PRINT ( NUM )Parse Trees•parse trees have meaning.–order of children, nesting of subtrees is significantSSSIDE:=NUMNUMEL )(PRINT;SSSIDE:=NUMNUMEL )(PRINT;Ambiguous Grammars•a grammar is ambiguous if the same sequence of tokens can give rise to two or more parse treesAmbiguous


View Full Document

Princeton COS 320 - Compilers

Download Compilers
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Compilers and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Compilers 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?