LEX5: Regexps to NFA. Lexical Analysis. CMPT 379: Compilers Instructor: Anoop Sarkar. anoopsarkar.github.io/compilers-class

Size: px
Start display at page:

Download "LEX5: Regexps to NFA. Lexical Analysis. CMPT 379: Compilers Instructor: Anoop Sarkar. anoopsarkar.github.io/compilers-class"

Transcription

1 LEX5: Regexps to NFA Lexicl Anlysis CMPT 379: Compilers Instructor: Anoop Srkr noopsrkr.github.io/compilers-clss

2 Building Lexicl Anlyzer Token POern POern Regulr Expression Regulr Expression NFA NFA DFA DFA Tble-driven implementron of DFA 2

3 Converts regexps to equivlent NFA Six simple rules Empty lnguge Symbols (Σ) Empty String () AlternRon (r 1 or r 2 ) ConctenRon (r 1 followed by r 2 ) RepeRRon (r 1 *) Used by Ken Thompson for poern-bsed serch in text editor QED (1968) 3

4 Thompson Rule 0 For the empty lnguge φ (opronlly include sinkhole stte) Σ Σ 4

5 Thompson Rule 1 For ech symbol x of the lphbet, there is NFA tht ccepts it x 5

6 Thompson Rule 2 There is n NFA tht ccepts only 6

7 Thompson Rule 3 Given two NFAs for r 1, r 2, there is NFA tht ccepts r 1 r 2 r1 r2 7

8 Thompson Rule 3 Given two NFAs for r 1, r 2, there is NFA tht ccepts r 1 r 2 r1 r2 8

9 Thompson Rule 4 Given two NFAs for r 1, r 2, there is NFA tht ccepts r 1 r 2 r1 r2 9

10 Thompson Rule 4 Given two NFAs for r 1, r 2, there is NFA tht ccepts r 1 r 2 r1 r2 10

11 Thompson Rule 5 Given NFA for r, there is n NFA tht ccepts r* r 11

12 Thompson Rule 5 Given NFA for r, there is n NFA tht ccepts r* r 12

13 Exmple Set of ll binry strings tht re divisible by four (include 0 in this set) Defined by the regexp: ((0 1)*00) 0 Apply Thompson s Rules to crete n NFA 13

14 Bsic Blocks 0 nd 1 ((0 1)*00) 0 NFA for 0 NFA for

15 ((0 1)*00) 0 15

16 0 1 (0 1)* ((0 1)*00) 0 16

17 (0 1)*00 ((0 1)*00) 0 17

18 (0 1)*00 ((0 1)*00) 0 18

19 ((0 1)*00) 0 19

20 ((0 1)*00) 0 20

21 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 21

22 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. stck = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 22

23 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. push stck = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 23

24 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. stck = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 24

25 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. push n2 stck n2, = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 25

26 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. stck n2, = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 26

27 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. push n3 stck n3, n2, = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 27

28 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. stck n3, n2, = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 28

29 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. pop n3,n2 stck = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 29

30 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. push n4 stck n4, = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 30

31 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. stck n4, = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 31

32 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. pop n4, stck = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 32

33 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. push stck = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 33

34 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. stck = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 34

35 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. push n6 stck n6, = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 35

36 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. stck n6, = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 36

37 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. pop n6, stck = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 37

38 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. push n7 n7 stck = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 38

39 Converts regexps to NFA Build NFA recursively from regexp tree (( b))c Post-order trversl of regexp tree n2 n4 n7 n3 n6 b c b.c. pop n7 stck = nf() n2= nf() n3= nf(b) n4= nf(n2, n3, ) = nf(, n4,. ) n6= nf(c) n7= nf(, n6,. ) 39

Definition of Regular Expression

Definition of Regular Expression Definition of Regulr Expression After the definition of the string nd lnguges, we re redy to descrie regulr expressions, the nottion we shll use to define the clss of lnguges known s regulr sets. Recll

More information

Lexical Analysis: Constructing a Scanner from Regular Expressions

Lexical Analysis: Constructing a Scanner from Regular Expressions Lexicl Anlysis: Constructing Scnner from Regulr Expressions Gol Show how to construct FA to recognize ny RE This Lecture Convert RE to n nondeterministic finite utomton (NFA) Use Thompson s construction

More information

ΕΠΛ323 - Θεωρία και Πρακτική Μεταγλωττιστών

ΕΠΛ323 - Θεωρία και Πρακτική Μεταγλωττιστών ΕΠΛ323 - Θωρία και Πρακτική Μταγλωττιστών Lecture 3 Lexicl Anlysis Elis Athnsopoulos elisthn@cs.ucy.c.cy Recognition of Tokens if expressions nd reltionl opertors if è if then è then else è else relop

More information

CS 432 Fall Mike Lam, Professor a (bc)* Regular Expressions and Finite Automata

CS 432 Fall Mike Lam, Professor a (bc)* Regular Expressions and Finite Automata CS 432 Fll 2017 Mike Lm, Professor (c)* Regulr Expressions nd Finite Automt Compiltion Current focus "Bck end" Source code Tokens Syntx tree Mchine code chr dt[20]; int min() { flot x = 42.0; return 7;

More information

CS 430 Spring Mike Lam, Professor. Parsing

CS 430 Spring Mike Lam, Professor. Parsing CS 430 Spring 2015 Mike Lm, Professor Prsing Syntx Anlysis We cn now formlly descrie lnguge's syntx Using regulr expressions nd BNF grmmrs How does tht help us? Syntx Anlysis We cn now formlly descrie

More information

Theory of Computation CSE 105

Theory of Computation CSE 105 $ $ $ Theory of Computtion CSE 105 Regulr Lnguges Study Guide nd Homework I Homework I: Solutions to the following problems should be turned in clss on July 1, 1999. Instructions: Write your nswers clerly

More information

CS412/413. Introduction to Compilers Tim Teitelbaum. Lecture 4: Lexical Analyzers 28 Jan 08

CS412/413. Introduction to Compilers Tim Teitelbaum. Lecture 4: Lexical Analyzers 28 Jan 08 CS412/413 Introduction to Compilers Tim Teitelum Lecture 4: Lexicl Anlyzers 28 Jn 08 Outline DFA stte minimiztion Lexicl nlyzers Automting lexicl nlysis Jlex lexicl nlyzer genertor CS 412/413 Spring 2008

More information

Compilers Spring 2013 PRACTICE Midterm Exam

Compilers Spring 2013 PRACTICE Midterm Exam Compilers Spring 2013 PRACTICE Midterm Exm This is full length prctice midterm exm. If you wnt to tke it t exm pce, give yourself 7 minutes to tke the entire test. Just like the rel exm, ech question hs

More information

Topic 2: Lexing and Flexing

Topic 2: Lexing and Flexing Topic 2: Lexing nd Flexing COS 320 Compiling Techniques Princeton University Spring 2016 Lennrt Beringer 1 2 The Compiler Lexicl Anlysis Gol: rek strem of ASCII chrcters (source/input) into sequence of

More information

Fig.25: the Role of LEX

Fig.25: the Role of LEX The Lnguge for Specifying Lexicl Anlyzer We shll now study how to uild lexicl nlyzer from specifiction of tokens in the form of list of regulr expressions The discussion centers round the design of n existing

More information

CSc 453. Compilers and Systems Software. 4 : Lexical Analysis II. Department of Computer Science University of Arizona

CSc 453. Compilers and Systems Software. 4 : Lexical Analysis II. Department of Computer Science University of Arizona CSc 453 Compilers nd Systems Softwre 4 : Lexicl Anlysis II Deprtment of Computer Science University of Arizon collerg@gmil.com Copyright c 2009 Christin Collerg Implementing Automt NFAs nd DFAs cn e hrd-coded

More information

CS321 Languages and Compiler Design I. Winter 2012 Lecture 5

CS321 Languages and Compiler Design I. Winter 2012 Lecture 5 CS321 Lnguges nd Compiler Design I Winter 2012 Lecture 5 1 FINITE AUTOMATA A non-deterministic finite utomton (NFA) consists of: An input lphet Σ, e.g. Σ =,. A set of sttes S, e.g. S = {1, 3, 5, 7, 11,

More information

In the last lecture, we discussed how valid tokens may be specified by regular expressions.

In the last lecture, we discussed how valid tokens may be specified by regular expressions. LECTURE 5 Scnning SYNTAX ANALYSIS We know from our previous lectures tht the process of verifying the syntx of the progrm is performed in two stges: Scnning: Identifying nd verifying tokens in progrm.

More information

Finite Automata. Lecture 4 Sections Robb T. Koether. Hampden-Sydney College. Wed, Jan 21, 2015

Finite Automata. Lecture 4 Sections Robb T. Koether. Hampden-Sydney College. Wed, Jan 21, 2015 Finite Automt Lecture 4 Sections 3.6-3.7 Ro T. Koether Hmpden-Sydney College Wed, Jn 21, 2015 Ro T. Koether (Hmpden-Sydney College) Finite Automt Wed, Jn 21, 2015 1 / 23 1 Nondeterministic Finite Automt

More information

ΕΠΛ323 - Θεωρία και Πρακτική Μεταγλωττιστών. Lecture 3b Lexical Analysis Elias Athanasopoulos

ΕΠΛ323 - Θεωρία και Πρακτική Μεταγλωττιστών. Lecture 3b Lexical Analysis Elias Athanasopoulos ΕΠΛ323 - Θωρία και Πρακτική Μταγλωττιστών Lecture 3 Lexicl Anlysis Elis Athnsopoulos elisthn@cs.ucy.c.cy RecogniNon of Tokens if expressions nd relnonl opertors if è if then è then else è else relop è

More information

Reducing a DFA to a Minimal DFA

Reducing a DFA to a Minimal DFA Lexicl Anlysis - Prt 4 Reducing DFA to Miniml DFA Input: DFA IN Assume DFA IN never gets stuck (dd ded stte if necessry) Output: DFA MIN An equivlent DFA with the minimum numer of sttes. Hrry H. Porter,

More information

Dr. D.M. Akbar Hussain

Dr. D.M. Akbar Hussain Dr. D.M. Akr Hussin Lexicl Anlysis. Bsic Ide: Red the source code nd generte tokens, it is similr wht humns will do to red in; just tking on the input nd reking it down in pieces. Ech token is sequence

More information

CMPT 379 Compilers. Lexical Analysis

CMPT 379 Compilers. Lexical Analysis CMPT 379 Compilers Anoop Srkr http://www.cs.sfu.c/~noop 9//7 Lexicl Anlysis Also clled scnning, tke input progrm string nd convert into tokens Exmple: T_DOUBLE ( doule ) T_IDENT ( f ) T_OP ( = ) doule

More information

Deterministic. Finite Automata. And Regular Languages. Fall 2018 Costas Busch - RPI 1

Deterministic. Finite Automata. And Regular Languages. Fall 2018 Costas Busch - RPI 1 Deterministic Finite Automt And Regulr Lnguges Fll 2018 Costs Busch - RPI 1 Deterministic Finite Automton (DFA) Input Tpe String Finite Automton Output Accept or Reject Fll 2018 Costs Busch - RPI 2 Trnsition

More information

10/12/17. Motivating Example. Lexical and Syntax Analysis (2) Recursive-Descent Parsing. Recursive-Descent Parsing. Recursive-Descent Parsing

10/12/17. Motivating Example. Lexical and Syntax Analysis (2) Recursive-Descent Parsing. Recursive-Descent Parsing. Recursive-Descent Parsing Motivting Exmple Lexicl nd yntx Anlysis (2) In Text: Chpter 4 Consider the grmmr -> cad A -> b Input string: w = cd How to build prse tree top-down? 2 Initilly crete tree contining single node (the strt

More information

Assignment 4. Due 09/18/17

Assignment 4. Due 09/18/17 Assignment 4. ue 09/18/17 1. ). Write regulr expressions tht define the strings recognized by the following finite utomt: b d b b b c c b) Write FA tht recognizes the tokens defined by the following regulr

More information

Midterm I Solutions CS164, Spring 2006

Midterm I Solutions CS164, Spring 2006 Midterm I Solutions CS164, Spring 2006 Februry 23, 2006 Plese red ll instructions (including these) crefully. Write your nme, login, SID, nd circle the section time. There re 8 pges in this exm nd 4 questions,

More information

Languages. L((a (b)(c))*) = { ε,a,bc,aa,abc,bca,... } εw = wε = w. εabba = abbaε = abba. (a (b)(c)) *

Languages. L((a (b)(c))*) = { ε,a,bc,aa,abc,bca,... } εw = wε = w. εabba = abbaε = abba. (a (b)(c)) * Pln for Tody nd Beginning Next week Interpreter nd Compiler Structure, or Softwre Architecture Overview of Progrmming Assignments The MeggyJv compiler we will e uilding. Regulr Expressions Finite Stte

More information

CSE 401 Midterm Exam 11/5/10 Sample Solution

CSE 401 Midterm Exam 11/5/10 Sample Solution Question 1. egulr expressions (20 points) In the Ad Progrmming lnguge n integer constnt contins one or more digits, but it my lso contin embedded underscores. Any underscores must be preceded nd followed

More information

Implementing Automata. CSc 453. Compilers and Systems Software. 4 : Lexical Analysis II. Department of Computer Science University of Arizona

Implementing Automata. CSc 453. Compilers and Systems Software. 4 : Lexical Analysis II. Department of Computer Science University of Arizona Implementing utomt Sc 5 ompilers nd Systems Softwre : Lexicl nlysis II Deprtment of omputer Science University of rizon collerg@gmil.com opyright c 009 hristin ollerg NFs nd DFs cn e hrd-coded using this

More information

Regular Expression Matching with Multi-Strings and Intervals. Philip Bille Mikkel Thorup

Regular Expression Matching with Multi-Strings and Intervals. Philip Bille Mikkel Thorup Regulr Expression Mtching with Multi-Strings nd Intervls Philip Bille Mikkel Thorup Outline Definition Applictions Previous work Two new problems: Multi-strings nd chrcter clss intervls Algorithms Thompson

More information

CS 340, Fall 2014 Dec 11 th /13 th Final Exam Note: in all questions, the special symbol ɛ (epsilon) is used to indicate the empty string.

CS 340, Fall 2014 Dec 11 th /13 th Final Exam Note: in all questions, the special symbol ɛ (epsilon) is used to indicate the empty string. CS 340, Fll 2014 Dec 11 th /13 th Finl Exm Nme: Note: in ll questions, the specil symol ɛ (epsilon) is used to indicte the empty string. Question 1. [5 points] Consider the following regulr expression;

More information

Some Thoughts on Grad School. Undergraduate Compilers Review and Intro to MJC. Structure of a Typical Compiler. Lexing and Parsing

Some Thoughts on Grad School. Undergraduate Compilers Review and Intro to MJC. Structure of a Typical Compiler. Lexing and Parsing Undergrdute Compilers Review nd Intro to MJC Announcements Miling list is in full swing Tody Some thoughts on grd school Finish prsing Semntic nlysis Visitor pttern for bstrct syntx trees Some Thoughts

More information

Should be done. Do Soon. Structure of a Typical Compiler. Plan for Today. Lab hours and Office hours. Quiz 1 is due tonight, was posted Tuesday night

Should be done. Do Soon. Structure of a Typical Compiler. Plan for Today. Lab hours and Office hours. Quiz 1 is due tonight, was posted Tuesday night Should e done L hours nd Office hours Sign up for the miling list t, strting to send importnt info to list http://groups.google.com/group/cs453-spring-2011 Red Ch 1 nd skim Ch 2 through 2.6, red 3.3 nd

More information

Principles of Programming Languages

Principles of Programming Languages Principles of Progrmming Lnguges h"p://www.di.unipi.it/~ndre/did2c/plp- 14/ Prof. Andre Corrdini Deprtment of Computer Science, Pis Lesson 5! Gener;on of Lexicl Anlyzers Creting Lexicl Anlyzer with Lex

More information

Lexical analysis, scanners. Construction of a scanner

Lexical analysis, scanners. Construction of a scanner Lexicl nlysis scnners (NB. Pges 4-5 re for those who need to refresh their knowledge of DFAs nd NFAs. These re not presented during the lectures) Construction of scnner Tools: stte utomt nd trnsition digrms.

More information

CMPSC 470: Compiler Construction

CMPSC 470: Compiler Construction CMPSC 47: Compiler Construction Plese complete the following: Midterm (Type A) Nme Instruction: Mke sure you hve ll pges including this cover nd lnk pge t the end. Answer ech question in the spce provided.

More information

Problem Set 2 Fall 16 Due: Wednesday, September 21th, in class, before class begins.

Problem Set 2 Fall 16 Due: Wednesday, September 21th, in class, before class begins. Problem Set 2 Fll 16 Due: Wednesdy, September 21th, in clss, before clss begins. 1. LL Prsing For the following sub-problems, consider the following context-free grmmr: S T$ (1) T A (2) T bbb (3) A T (4)

More information

Lexical Analysis. Role, Specification & Recognition Tool: LEX Construction: - RE to NFA to DFA to min-state DFA - RE to DFA

Lexical Analysis. Role, Specification & Recognition Tool: LEX Construction: - RE to NFA to DFA to min-state DFA - RE to DFA Lexicl Anlysis Role, Specifiction & Recognition Tool: LEX Construction: - RE to NFA to DFA to min-stte DFA - RE to DFA Conducting Lexicl Anlysis Techniques for specifying nd implementing lexicl nlyzers

More information

Example: Source Code. Lexical Analysis. The Lexical Structure. Tokens. What do we really care here? A Sample Toy Program:

Example: Source Code. Lexical Analysis. The Lexical Structure. Tokens. What do we really care here? A Sample Toy Program: Lexicl Anlysis Red source progrm nd produce list of tokens ( liner nlysis) source progrm The lexicl structure is specified using regulr expressions Other secondry tsks: (1) get rid of white spces (e.g.,

More information

Lexical Analysis and Lexical Analyzer Generators

Lexical Analysis and Lexical Analyzer Generators 1 Lexicl Anlysis nd Lexicl Anlyzer Genertors Chpter 3 COP5621 Compiler Construction Copyright Roert vn Engelen, Florid Stte University, 2007-2009 2 The Reson Why Lexicl Anlysis is Seprte Phse Simplifies

More information

LING/C SC/PSYC 438/538. Lecture 21 Sandiway Fong

LING/C SC/PSYC 438/538. Lecture 21 Sandiway Fong LING/C SC/PSYC 438/538 Lecture 21 Sndiwy Fong Tody's Topics Homework 8 Review Optionl Homework 9 (mke up on Homework 7) Homework 8 Review Question1: write Prolog regulr grmmr for the following lnguge:

More information

CS 340, Fall 2016 Sep 29th Exam 1 Note: in all questions, the special symbol ɛ (epsilon) is used to indicate the empty string.

CS 340, Fall 2016 Sep 29th Exam 1 Note: in all questions, the special symbol ɛ (epsilon) is used to indicate the empty string. CS 340, Fll 2016 Sep 29th Exm 1 Nme: Note: in ll questions, the speil symol ɛ (epsilon) is used to indite the empty string. Question 1. [10 points] Speify regulr expression tht genertes the lnguge over

More information

Lexical Analysis. Amitabha Sanyal. (www.cse.iitb.ac.in/ as) Department of Computer Science and Engineering, Indian Institute of Technology, Bombay

Lexical Analysis. Amitabha Sanyal. (www.cse.iitb.ac.in/ as) Department of Computer Science and Engineering, Indian Institute of Technology, Bombay Lexicl Anlysis Amith Snyl (www.cse.iit.c.in/ s) Deprtment of Computer Science nd Engineering, Indin Institute of Technology, Bomy Septemer 27 College of Engineering, Pune Lexicl Anlysis: 2/6 Recp The input

More information

Regular Languages. MACM 300 Formal Languages and Automata. Formal Languages: Recap. Regular Languages

Regular Languages. MACM 300 Formal Languages and Automata. Formal Languages: Recap. Regular Languages Regular Languages MACM 3 Formal Languages and Automata Anoop Sarkar http://www.cs.sfu.ca/~anoop The set of regular languages: each element is a regular language Each regular language is an example of a

More information

CS143 Handout 07 Summer 2011 June 24 th, 2011 Written Set 1: Lexical Analysis

CS143 Handout 07 Summer 2011 June 24 th, 2011 Written Set 1: Lexical Analysis CS143 Hndout 07 Summer 2011 June 24 th, 2011 Written Set 1: Lexicl Anlysis In this first written ssignment, you'll get the chnce to ply round with the vrious constructions tht come up when doing lexicl

More information

Fall Compiler Principles Lecture 1: Lexical Analysis. Roman Manevich Ben-Gurion University of the Negev

Fall Compiler Principles Lecture 1: Lexical Analysis. Roman Manevich Ben-Gurion University of the Negev Fll 2016-2017 Compiler Principles Lecture 1: Lexicl Anlysis Romn Mnevich Ben-Gurion University of the Negev Agend Understnd role of lexicl nlysis in compiler Regulr lnguges reminder Lexicl nlysis lgorithms

More information

ECE 468/573 Midterm 1 September 28, 2012

ECE 468/573 Midterm 1 September 28, 2012 ECE 468/573 Midterm 1 September 28, 2012 Nme:! Purdue emil:! Plese sign the following: I ffirm tht the nswers given on this test re mine nd mine lone. I did not receive help from ny person or mteril (other

More information

UNIVERSITY OF EDINBURGH COLLEGE OF SCIENCE AND ENGINEERING SCHOOL OF INFORMATICS INFORMATICS 1 COMPUTATION & LOGIC INSTRUCTIONS TO CANDIDATES

UNIVERSITY OF EDINBURGH COLLEGE OF SCIENCE AND ENGINEERING SCHOOL OF INFORMATICS INFORMATICS 1 COMPUTATION & LOGIC INSTRUCTIONS TO CANDIDATES UNIVERSITY OF EDINBURGH COLLEGE OF SCIENCE AND ENGINEERING SCHOOL OF INFORMATICS INFORMATICS COMPUTATION & LOGIC Sturdy st April 7 : to : INSTRUCTIONS TO CANDIDATES This is tke-home exercise. It will not

More information

Homework. Context Free Languages III. Languages. Plan for today. Context Free Languages. CFLs and Regular Languages. Homework #5 (due 10/22)

Homework. Context Free Languages III. Languages. Plan for today. Context Free Languages. CFLs and Regular Languages. Homework #5 (due 10/22) Homework Context Free Lnguges III Prse Trees nd Homework #5 (due 10/22) From textbook 6.4,b 6.5b 6.9b,c 6.13 6.22 Pln for tody Context Free Lnguges Next clss of lnguges in our quest! Lnguges Recll. Wht

More information

binary trees, expression trees

binary trees, expression trees COMP 250 Lecture 21 binry trees, expression trees Oct. 27, 2017 1 Binry tree: ech node hs t most two children. 2 Mximum number of nodes in binry tree? Height h (e.g. 3) 3 Mximum number of nodes in binry

More information

acronyms possibly used in this test: CFG :acontext free grammar CFSM :acharacteristic finite state machine DFA :adeterministic finite automata

acronyms possibly used in this test: CFG :acontext free grammar CFSM :acharacteristic finite state machine DFA :adeterministic finite automata EE573 Fll 2002, Exm open book, if question seems mbiguous, sk me to clrify the question. If my nswer doesn t stisfy you, plese stte your ssumptions. cronyms possibly used in this test: CFG :context free

More information

CSCE 531, Spring 2017, Midterm Exam Answer Key

CSCE 531, Spring 2017, Midterm Exam Answer Key CCE 531, pring 2017, Midterm Exm Answer Key 1. (15 points) Using the method descried in the ook or in clss, convert the following regulr expression into n equivlent (nondeterministic) finite utomton: (

More information

Lecture T4: Pattern Matching

Lecture T4: Pattern Matching Introduction to Theoreticl CS Lecture T4: Pttern Mtching Two fundmentl questions. Wht cn computer do? How fst cn it do it? Generl pproch. Don t tlk bout specific mchines or problems. Consider miniml bstrct

More information

CS 241. Fall 2017 Midterm Review Solutions. October 24, Bits and Bytes 1. 3 MIPS Assembler 6. 4 Regular Languages 7.

CS 241. Fall 2017 Midterm Review Solutions. October 24, Bits and Bytes 1. 3 MIPS Assembler 6. 4 Regular Languages 7. CS 241 Fll 2017 Midterm Review Solutions Octoer 24, 2017 Contents 1 Bits nd Bytes 1 2 MIPS Assemly Lnguge Progrmming 2 3 MIPS Assemler 6 4 Regulr Lnguges 7 5 Scnning 9 1 Bits nd Bytes 1. Give two s complement

More information

Scanner Termination. Multi Character Lookahead. to its physical end. Most parsers require an end of file token. Lex and Jlex automatically create an

Scanner Termination. Multi Character Lookahead. to its physical end. Most parsers require an end of file token. Lex and Jlex automatically create an Scnner Termintion A scnner reds input chrcters nd prtitions them into tokens. Wht hppens when the end of the input file is reched? It my be useful to crete n Eof pseudo-chrcter when this occurs. In Jv,

More information

Encoding techniques for evading n-gram based Intrusion Detection Systems

Encoding techniques for evading n-gram based Intrusion Detection Systems Encoding techniques for evding n-grm bsed Intrusion Detection Systems Studienrbeit Moritz Bechler moritz.bechler@student.uni-tuebingen.de Universität Tübingen Wilhelm Schickrd Institut SPRING 7 5.7.2012

More information

Compilation

Compilation Compiltion 0368-3133 Lecture 2: Lexicl Anlysis Nom Rinetzky 1 2 Lexicl Anlysis Modern Compiler Design: Chpter 2.1 3 Conceptul Structure of Compiler Compiler Source text txt Frontend Semntic Representtion

More information

CS 321 Programming Languages and Compilers. Bottom Up Parsing

CS 321 Programming Languages and Compilers. Bottom Up Parsing CS 321 Progrmming nguges nd Compilers Bottom Up Prsing Bottom-up Prsing: Shift-reduce prsing Grmmr H: fi ; fi b Input: ;;b hs prse tree ; ; b 2 Dt for Shift-reduce Prser Input string: sequence of tokens

More information

Compiler Construction D7011E

Compiler Construction D7011E Compiler Construction D7011E Lecture 3: Lexer genertors Viktor Leijon Slides lrgely y John Nordlnder with mteril generously provided y Mrk P. Jones. 1 Recp: Hndwritten Lexers: Don t require sophisticted

More information

Stack. A list whose end points are pointed by top and bottom

Stack. A list whose end points are pointed by top and bottom 4. Stck Stck A list whose end points re pointed by top nd bottom Insertion nd deletion tke plce t the top (cf: Wht is the difference between Stck nd Arry?) Bottom is constnt, but top grows nd shrinks!

More information

ITEC2620 Introduction to Data Structures

ITEC2620 Introduction to Data Structures ITEC0 Introduction to Dt Structures Lecture 7 Queues, Priority Queues Queues I A queue is First-In, First-Out = FIFO uffer e.g. line-ups People enter from the ck of the line People re served (exit) from

More information

Fall Compiler Principles Lecture 1: Lexical Analysis. Roman Manevich Ben-Gurion University

Fall Compiler Principles Lecture 1: Lexical Analysis. Roman Manevich Ben-Gurion University Fll 2014-2015 Compiler Principles Lecture 1: Lexicl Anlysis Romn Mnevich Ben-Gurion University Agend Understnd role of lexicl nlysis in compiler Lexicl nlysis theory Implementing professionl scnner vi

More information

Relations (3A) Young Won Lim 3/15/18

Relations (3A) Young Won Lim 3/15/18 Reltions (A) Copyright (c) 05 08 Young W. Lim. Permission is grnted to copy, distribute nd/or modify this document under the terms of the GNU Free Documenttion License, Version. or ny lter version published

More information

ASTs, Regex, Parsing, and Pretty Printing

ASTs, Regex, Parsing, and Pretty Printing ASTs, Regex, Prsing, nd Pretty Printing CS 2112 Fll 2016 1 Algeric Expressions To strt, consider integer rithmetic. Suppose we hve the following 1. The lphet we will use is the digits {0, 1, 2, 3, 4, 5,

More information

Automata Processor. Tobias Markus Computer Architecture Group, University of Heidelberg

Automata Processor. Tobias Markus Computer Architecture Group, University of Heidelberg 1 Automt Processor Tobis Mrkus Computer Architecture Group, University of Heidelberg Abstrct This pper gives brief overview over nondeterministic utomt nd the Automt Processor n rchitecture implemented

More information

2068 (I) Attempt all questions.

2068 (I) Attempt all questions. 2068 (I) 1. What do you mean by compiler? How source program analyzed? Explain in brief. 2. Discuss the role of symbol table in compiler design. 3. Convert the regular expression 0 + (1 + 0)* 00 first

More information

Data Flow on a Queue Machine. Bruno R. Preiss. Copyright (c) 1987 by Bruno R. Preiss, P.Eng. All rights reserved.

Data Flow on a Queue Machine. Bruno R. Preiss. Copyright (c) 1987 by Bruno R. Preiss, P.Eng. All rights reserved. Dt Flow on Queue Mchine Bruno R. Preiss 2 Outline Genesis of dt-flow rchitectures Sttic vs. dynmic dt-flow rchitectures Pseudo-sttic dt-flow execution model Some dt-flow mchines Simple queue mchine Prioritized

More information

Quiz2 45mins. Personal Number: Problem 1. (20pts) Here is an Table of Perl Regular Ex

Quiz2 45mins. Personal Number: Problem 1. (20pts) Here is an Table of Perl Regular Ex Long Quiz2 45mins Nme: Personl Numer: Prolem. (20pts) Here is n Tle of Perl Regulr Ex Chrcter Description. single chrcter \s whitespce chrcter (spce, t, newline) \S non-whitespce chrcter \d digit (0-9)

More information

Implementation of Lexical Analysis

Implementation of Lexical Analysis Implementation of Lexical Analysis Outline Specifying lexical structure using regular expressions Finite automata Deterministic Finite Automata (DFAs) Non-deterministic Finite Automata (NFAs) Implementation

More information

CS201 Discussion 10 DRAWTREE + TRIES

CS201 Discussion 10 DRAWTREE + TRIES CS201 Discussion 10 DRAWTREE + TRIES DrwTree First instinct: recursion As very generic structure, we could tckle this problem s follows: drw(): Find the root drw(root) drw(root): Write the line for the

More information

Eliminating left recursion grammar transformation. The transformed expression grammar

Eliminating left recursion grammar transformation. The transformed expression grammar Eliminting left recursion grmmr trnsformtion Originl! rnsformed! 0 0! 0 α β α α α α α α α α β he two grmmrs generte the sme lnguge, but the one on the right genertes the rst, nd then string of s, using

More information

CMSC 331 First Midterm Exam

CMSC 331 First Midterm Exam 0 00/ 1 20/ 2 05/ 3 15/ 4 15/ 5 15/ 6 20/ 7 30/ 8 30/ 150/ 331 First Midterm Exm 7 October 2003 CMC 331 First Midterm Exm Nme: mple Answers tudent ID#: You will hve seventy-five (75) minutes to complete

More information

COS 333: Advanced Programming Techniques

COS 333: Advanced Programming Techniques COS 333: Advnced Progrmming Techniques Brin Kernighn wk@cs, www.cs.princeton.edu/~wk 311 CS Building 609-258-2089 (ut emil is lwys etter) TA's: Junwen Li, li@cs, CS 217,258-0451 Yong Wng,yongwng@cs, CS

More information

COS 333: Advanced Programming Techniques

COS 333: Advanced Programming Techniques COS 333: Advnced Progrmming Techniques How to find me wk@cs, www.cs.princeton.edu/~wk 311 CS Building 609-258-2089 (ut emil is lwys etter) TA's: Mtvey Arye (rye), Tom Jlin (tjlin), Nick Johnson (npjohnso)

More information

CPSC 213. Polymorphism. Introduction to Computer Systems. Readings for Next Two Lectures. Back to Procedure Calls

CPSC 213. Polymorphism. Introduction to Computer Systems. Readings for Next Two Lectures. Back to Procedure Calls Redings for Next Two Lectures Text CPSC 213 Switch Sttements, Understnding Pointers - 2nd ed: 3.6.7, 3.10-1st ed: 3.6.6, 3.11 Introduction to Computer Systems Unit 1f Dynmic Control Flow Polymorphism nd

More information

Regular Expressions. Regular Expressions. Regular Languages. Specifying Languages. Regular Expressions. Kleene Star Operation

Regular Expressions. Regular Expressions. Regular Languages. Specifying Languages. Regular Expressions. Kleene Star Operation Another means to describe languages accepted by Finite Automata. In some books, regular languages, by definition, are described using regular. Specifying Languages Recall: how do we specify languages?

More information

LR Parsing, Part 2. Constructing Parse Tables. Need to Automatically Construct LR Parse Tables: Action and GOTO Table

LR Parsing, Part 2. Constructing Parse Tables. Need to Automatically Construct LR Parse Tables: Action and GOTO Table TDDD55 Compilers nd Interpreters TDDB44 Compiler Construction LR Prsing, Prt 2 Constructing Prse Tles Prse tle construction Grmmr conflict hndling Ctegories of LR Grmmrs nd Prsers Peter Fritzson, Christoph

More information

CSE450. Translation of Programming Languages. Lecture 20: Automata and Regular Expressions

CSE450. Translation of Programming Languages. Lecture 20: Automata and Regular Expressions CSE45 Translation of Programming Languages Lecture 2: Automata and Regular Expressions Finite Automata Regular Expression = Specification Finite Automata = Implementation A finite automaton consists of:

More information

Sample Midterm Solutions COMS W4115 Programming Languages and Translators Monday, October 12, 2009

Sample Midterm Solutions COMS W4115 Programming Languages and Translators Monday, October 12, 2009 Deprtment of Computer cience Columbi University mple Midterm olutions COM W4115 Progrmming Lnguges nd Trnsltors Mondy, October 12, 2009 Closed book, no ids. ch question is worth 20 points. Question 5(c)

More information

TO REGULAR EXPRESSIONS

TO REGULAR EXPRESSIONS Suject :- Computer Science Course Nme :- Theory Of Computtion DA TO REGULAR EXPRESSIONS Report Sumitted y:- Ajy Singh Meen 07000505 jysmeen@cse.iit.c.in BASIC DEINITIONS DA:- A finite stte mchine where

More information

Lexical Analysis. Note by Baris Aktemur: Our slides are adapted from Cooper and Torczon s slides that they prepared for COMP 412 at Rice.

Lexical Analysis. Note by Baris Aktemur: Our slides are adapted from Cooper and Torczon s slides that they prepared for COMP 412 at Rice. Lexical Analysis Note by Baris Aktemur: Our slides are adapted from Cooper and Torczon s slides that they prepared for COMP 412 at Rice. Copyright 2010, Keith D. Cooper & Linda Torczon, all rights reserved.

More information

CSCI 2132 Software Development. Lecture 7: Wildcards and Regular Expressions

CSCI 2132 Software Development. Lecture 7: Wildcards and Regular Expressions CSCI 2132 Software Development Lecture 7: Wildcards and Regular Expressions Instructor: Vlado Keselj Faculty of Computer Science Dalhousie University 20-Sep-2017 (7) CSCI 2132 1 Previous Lecture Pipes

More information

Fall 2018 Midterm 1 October 11, ˆ You may not ask questions about the exam except for language clarifications.

Fall 2018 Midterm 1 October 11, ˆ You may not ask questions about the exam except for language clarifications. 15-112 Fll 2018 Midterm 1 October 11, 2018 Nme: Andrew ID: Recittion Section: ˆ You my not use ny books, notes, extr pper, or electronic devices during this exm. There should be nothing on your desk or

More information

Implementation of Lexical Analysis

Implementation of Lexical Analysis Implementation of Lexical Analysis Outline Specifying lexical structure using regular expressions Finite automata Deterministic Finite Automata (DFAs) Non-deterministic Finite Automata (NFAs) Implementation

More information

Scanner Termination. Multi Character Lookahead

Scanner Termination. Multi Character Lookahead If d.doublevlue() represents vlid integer, (int) d.doublevlue() will crete the pproprite integer vlue. If string representtion of n integer begins with ~ we cn strip the ~, convert to double nd then negte

More information

CS 241 Week 4 Tutorial Solutions

CS 241 Week 4 Tutorial Solutions CS 4 Week 4 Tutoril Solutions Writing n Assemler, Prt & Regulr Lnguges Prt Winter 8 Assemling instrutions utomtilly. slt $d, $s, $t. Solution: $d, $s, nd $t ll fit in -it signed integers sine they re 5-it

More information

CSE302: Compiler Design

CSE302: Compiler Design CSE302: Compiler Design Instructor: Dr. Liang Cheng Department of Computer Science and Engineering P.C. Rossin College of Engineering & Applied Science Lehigh University February 13, 2007 Outline Recap

More information

Kinder, Gentler Nation

Kinder, Gentler Nation Lexical Analysis Finite Automata (Part 2 of 2) # Kinder, Gentler Nation In our post drop-deadline world things get easier. While we re here: reading quiz. #2 Summary Regular expressions provide a concise

More information

Presentation Martin Randers

Presentation Martin Randers Presenttion Mrtin Rnders Outline Introduction Algorithms Implementtion nd experiments Memory consumption Summry Introduction Introduction Evolution of species cn e modelled in trees Trees consist of nodes

More information

G52LAC Languages and Computation Lecture 6

G52LAC Languages and Computation Lecture 6 G52LAC Languages and Computation Lecture 6 Equivalence of Regular Expression and Finite Automata Henrik Nilsson University of Nottingham G52LACLanguages and ComputationLecture 6 p.1/28 This Lecture (1)

More information

CS2204 DIGITAL LOGIC & STATE MACHINE DESIGN SPRING 2014

CS2204 DIGITAL LOGIC & STATE MACHINE DESIGN SPRING 2014 CS DIGITAL LOGIC & STATE MACHINE DESIGN SPRING DUE : April 7, HOMEWOR V READ : Relted portions of Chpters III, IV, VI, VII nd VIII ASSIGNMENT : There re seven questions Solve ll homework nd exm problems

More information

Outline. Motivation Background ARCH. Experiment Additional usages for Input-Depth. Regular Expression Matching DPI over Compressed HTTP

Outline. Motivation Background ARCH. Experiment Additional usages for Input-Depth. Regular Expression Matching DPI over Compressed HTTP ARCH This work ws supported y: The Europen Reserh Counil, The Isreli Centers of Reserh Exellene, The Neptune Consortium, nd Ntionl Siene Foundtion wrd CNS-119748 Outline Motivtion Bkground Regulr Expression

More information

CSE450. Translation of Programming Languages. Automata, Simple Language Design Principles

CSE450. Translation of Programming Languages. Automata, Simple Language Design Principles CSE45 Translation of Programming Languages Automata, Simple Language Design Principles Finite Automata State Graphs A state: The start state: An accepting state: A transition: a A Simple Example A finite

More information

Mid-term exam. Scores. Fall term 2012 KAIST EE209 Programming Structures for EE. Thursday Oct 25, Student's name: Student ID:

Mid-term exam. Scores. Fall term 2012 KAIST EE209 Programming Structures for EE. Thursday Oct 25, Student's name: Student ID: Fll term 2012 KAIST EE209 Progrmming Structures for EE Mid-term exm Thursdy Oct 25, 2012 Student's nme: Student ID: The exm is closed book nd notes. Red the questions crefully nd focus your nswers on wht

More information

Orthogonal line segment intersection

Orthogonal line segment intersection Computtionl Geometry [csci 3250] Line segment intersection The prolem (wht) Computtionl Geometry [csci 3250] Orthogonl line segment intersection Applictions (why) Algorithms (how) A specil cse: Orthogonl

More information

Control-Flow Analysis and Loop Detection

Control-Flow Analysis and Loop Detection ! Control-Flow Anlysis nd Loop Detection!Lst time! PRE!Tody! Control-flow nlysis! Loops! Identifying loops using domintors! Reducibility! Using loop identifiction to identify induction vribles CS553 Lecture

More information

Solving Problems by Searching. CS 486/686: Introduction to Artificial Intelligence

Solving Problems by Searching. CS 486/686: Introduction to Artificial Intelligence Solving Prolems y Serching CS 486/686: Introduction to Artificil Intelligence 1 Introduction Serch ws one of the first topics studied in AI - Newell nd Simon (1961) Generl Prolem Solver Centrl component

More information

CMSC 330: Organization of Programming Languages. Context Free Grammars

CMSC 330: Organization of Programming Languages. Context Free Grammars CMSC 330: Organization of Programming Languages Context Free Grammars 1 Architecture of Compilers, Interpreters Source Analyzer Optimizer Code Generator Abstract Syntax Tree Front End Back End Compiler

More information

Phylogeny and Molecular Evolution

Phylogeny and Molecular Evolution Phylogeny nd Moleculr Evolution Chrcter Bsed Phylogeny 1/50 Credit Ron Shmir s lecture notes Notes by Nir Friedmn Dn Geiger, Shlomo Morn, Sgi Snir nd Ron Shmir Durbin et l. Jones nd Pevzner s presenttion

More information

12 <= rm <digit> 2 <= rm <no> 2 <= rm <no> <digit> <= rm <no> <= rm <number>

12 <= rm <digit> 2 <= rm <no> 2 <= rm <no> <digit> <= rm <no> <= rm <number> DDD16 Compilers nd Interpreters DDB44 Compiler Construction R Prsing Prt 1 R prsing concept Using prser genertor Prse ree Genertion Wht is R-prsing? eft-to-right scnning R Rigthmost derivtion in reverse

More information

Lexical Analysis. Implementation: Finite Automata

Lexical Analysis. Implementation: Finite Automata Lexical Analysis Implementation: Finite Automata Outline Specifying lexical structure using regular expressions Finite automata Deterministic Finite Automata (DFAs) Non-deterministic Finite Automata (NFAs)

More information

Lexical Analysis. Prof. James L. Frankel Harvard University

Lexical Analysis. Prof. James L. Frankel Harvard University Lexical Analysis Prof. James L. Frankel Harvard University Version of 5:37 PM 30-Jan-2018 Copyright 2018, 2016, 2015 James L. Frankel. All rights reserved. Regular Expression Notation We will develop a

More information

Binary Relations (4B) Young Won Lim 5/15/17

Binary Relations (4B) Young Won Lim 5/15/17 Binry Reltions (4B) Copyright (c) 205 207 Young W. Lim. Permission is grnted to copy, distribute nd/or modify this document under the terms of the GNU Free Documenttion License, Version.2 or ny lter version

More information

UNIT 11. Query Optimization

UNIT 11. Query Optimization UNIT Query Optimiztion Contents Introduction to Query Optimiztion 2 The Optimiztion Process: An Overview 3 Optimiztion in System R 4 Optimiztion in INGRES 5 Implementing the Join Opertors Wei-Png Yng,

More information