CSCE 531, Spring 2017, Midterm Exam Answer Key

Size: px
Start display at page:

Download "CSCE 531, Spring 2017, Midterm Exam Answer Key"

Transcription

1 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: ( *c)* You my contrct -trnsitions provided the resulting utomton is equivlent. Answer: Any equivlent nswer etween the these two extremes is correct. c c There re other possile correct nswers. 2. (15 points) Using the sets-of-sttes pproch descried in clss, simulte the (nondeterministic) finite utomton given elow (in tulr form) on the input string w = cc. Tht is, for every prefix x of w (so x =,, c, c, c, cc, cc, cc in tht order), list ll sttes rechle from the strt stte y reding x. For ech prefix, list the sttes in incresing order without duplictes. Does the utomton ccept w? Why or why not? c 0 5 1, , , , , , 6 1

2 Answer: prefix sttes 0, 1, 2, 4 2, 3, 4, 5 c 0, 1, 2, 3, 4, 6, 7 (ll ut 5) c 1, 2, 3, 4, 5, 6, 7 (ll ut 0) c 0, 1, 2, 3, 4, 5, 6 (ll ut 7) cc 0, 1, 2, 3, 4, 6, 7 (ll ut 5) cc 1, 2, 3, 4, 5, 6, 7 (ll ut 0) cc 0, 1, 2, 3, 4, 5, 6 (ll ut 7) The input is rejected, ecuse the finl set of sttes does not contin n ccepting stte (i.e., stte 7). 3. (10 points) Give single flex-suitle regulr expression tht mtches ll Pscl-style comments. Tht is, your regex should mtch ll strings tht strt with (*, end with *), nd do not hve ny occurrence of *) in etween s sustring. For exmple, mtch not mtch (* hi *) (* hi *) (* ho *) (*********) (*) (*(*(* **) (* (* nest *) *) (*)))*(*) (* * Note tht opening nd closing delimiters cnnot overlp. Your nswer my include ny nmed suexpressions in curly rces, provided you define them fully s you would in the premle. You re NOT llowed to use the flex / opertor. Be s concise s possile. [Keep in mind tht the flex scnner will look for the longest mtch possile.] Answer: There re numer of correct nswers. To void confusion, I will define some nmed suexpressions, then list some equivlent ptterns. str "*" rpren ")" nonstr [^*] neither [^)*] open "(*" close "*)" %% {open}{nonstr}*{str}(({neither}{nonstr}*)?{str})*{rpren} {open}({nonstr} {str}+{neither})*{str}+{rpren} {open}{nonstr}*({str}({neither}{nonstr}*)?)*{close} {open}({nonstr} {str}+{neither})*{str}*{close} 2

3 There re other correct nswers. 4. (15 points totl) Here is grmmr with strt symol : () () (10 points) Using this grmmr, show complete prse tree yielding the string (((()))()()). () (5 points) Is this grmmr miguous? Explin. Answer: Here is prse tree tht does not use the second -production, tht is, it does not use. There re other prse trees for the sme string tht do use this production. ( ) ( ) ( ) ( ) ( ) ( ) The grmmr is miguous, ecuse nother string, (), is yielded y two different prse trees (equivlently, two different leftmost derivtions): () () () () () () () () 3

4 5. (25 points totl) Recll one of our stndrd, simplified grmmrs for rithmetic expressions, given in ycc/ison form (expr is the strt symol): expr : term expr + term expr - term term : fctor term * fctor term / fctor fctor : CONT VAR ( expr ) () (15 points) Alter to the grmmr so tht expressions cn involve nmed function clls. A nmed function cll hs the form f( ), where f is nme (VAR) nd is commseprted list of zero or more expressions (the rguments). Ech rgument cn e n ritrry expression. For exmple, the following re grmmticlly correct function cll expressions: foo() foo(r) r(t,ft) t(t+foo(6),t-foo*r)... Your ltered grmmr should still e unmiguous. () (10 points) Add semntic ctions to the originl, unltered grmmr ove so tht the root of the prse tree contins s its ttriute the sum of ll constnt vlues ppering in the expression. You cn ssume tht ll constnt vlues re integers. Also ssume tht the lexicl scnner sets the ttriute of ech CONT token to its vlue. If there re no constnts ppering in the expression, then the root ttriute should e 0. For exmple, if the input is 3*(42+z)+6, then the root should hve ttriute vlue 51 if the input is x-y+z, then the root should hve ttriute 0. Mke your ctions s simple s possile, nd do not use ny lirry routines. Any omitted ctions re ssumed to e the defult ction {$$ = $1}. 4

5 Answer: () We dd four productions to the grmmr ove, strting with fctor (the expr nd term productions re unchnged): fctor : CONT VAR ( expr ) VAR ( ) VAR ( rgs ) rgs : expr rgs, expr () Here is correct nswer: expr : term expr + term { $$ = $1 + $3 } expr - term { $$ = $1 + $3 } term : fctor term * fctor { $$ = $1 + $3 } term / fctor { $$ = $1 + $3 } fctor : CONT VAR { $$ = 0 } ( expr ) { $$ = $2 } Any missing ctions re defult ctions ($$ = $1). The first four ctions re identicl. 5

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

COMP 423 lecture 11 Jan. 28, 2008

COMP 423 lecture 11 Jan. 28, 2008 COMP 423 lecture 11 Jn. 28, 2008 Up to now, we hve looked t how some symols in n lphet occur more frequently thn others nd how we cn sve its y using code such tht the codewords for more frequently occuring

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

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

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

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

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

CSCI 3130: Formal Languages and Automata Theory Lecture 12 The Chinese University of Hong Kong, Fall 2011

CSCI 3130: Formal Languages and Automata Theory Lecture 12 The Chinese University of Hong Kong, Fall 2011 CSCI 3130: Forml Lnguges nd utomt Theory Lecture 12 The Chinese University of Hong Kong, Fll 2011 ndrej Bogdnov In progrmming lnguges, uilding prse trees is significnt tsk ecuse prse trees tell us the

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

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

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

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

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

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

stack of states and grammar symbols Stack-Bottom marker C. Kessler, IDA, Linköpings universitet. 1. <list> -> <list>, <element> 2.

stack of states and grammar symbols Stack-Bottom marker C. Kessler, IDA, Linköpings universitet. 1. <list> -> <list>, <element> 2. TDDB9 Compilers nd Interpreters TDDB44 Compiler Construction LR Prsing Updted/New slide mteril 007: Pushdown Automton for LR-Prsing Finite-stte pushdown utomton contins lterntingly sttes nd symols in NUΣ

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

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

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

this grammar generates the following language: Because this symbol will also be used in a later step, it receives the

this grammar generates the following language: Because this symbol will also be used in a later step, it receives the LR() nlysis Drwcks of LR(). Look-hed symols s eplined efore, concerning LR(), it is possile to consult the net set to determine, in the reduction sttes, for which symols it would e possile to perform reductions.

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

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

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

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

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

Operator Precedence. Java CUP. E E + T T T * P P P id id id. Does a+b*c mean (a+b)*c or

Operator Precedence. Java CUP. E E + T T T * P P P id id id. Does a+b*c mean (a+b)*c or Opertor Precedence Most progrmming lnguges hve opertor precedence rules tht stte the order in which opertors re pplied (in the sence of explicit prentheses). Thus in C nd Jv nd CSX, +*c mens compute *c,

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

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

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

CIS 1068 Program Design and Abstraction Spring2015 Midterm Exam 1. Name SOLUTION

CIS 1068 Program Design and Abstraction Spring2015 Midterm Exam 1. Name SOLUTION CIS 1068 Progrm Design nd Astrction Spring2015 Midterm Exm 1 Nme SOLUTION Pge Points Score 2 15 3 8 4 18 5 10 6 7 7 7 8 14 9 11 10 10 Totl 100 1 P ge 1. Progrm Trces (41 points, 50 minutes) Answer the

More information

MTH 146 Conics Supplement

MTH 146 Conics Supplement 105- Review of Conics MTH 146 Conics Supplement In this section we review conics If ou ne more detils thn re present in the notes, r through section 105 of the ook Definition: A prol is the set of points

More information

If you are at the university, either physically or via the VPN, you can download the chapters of this book as PDFs.

If you are at the university, either physically or via the VPN, you can download the chapters of this book as PDFs. Lecture 5 Wlks, Trils, Pths nd Connectedness Reding: Some of the mteril in this lecture comes from Section 1.2 of Dieter Jungnickel (2008), Grphs, Networks nd Algorithms, 3rd edition, which is ville online

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

10.5 Graphing Quadratic Functions

10.5 Graphing Quadratic Functions 0.5 Grphing Qudrtic Functions Now tht we cn solve qudrtic equtions, we wnt to lern how to grph the function ssocited with the qudrtic eqution. We cll this the qudrtic function. Grphs of Qudrtic Functions

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

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

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

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

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

Context-Free Grammars

Context-Free Grammars Context-Free Grmmrs Descriing Lnguges We've seen two models for the regulr lnguges: Finite utomt ccept precisely the strings in the lnguge. Regulr expressions descrie precisely the strings in the lnguge.

More information

Algorithm Design (5) Text Search

Algorithm Design (5) Text Search Algorithm Design (5) Text Serch Tkshi Chikym School of Engineering The University of Tokyo Text Serch Find sustring tht mtches the given key string in text dt of lrge mount Key string: chr x[m] Text Dt:

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

Agenda & Reading. Class Exercise. COMPSCI 105 SS 2012 Principles of Computer Science. Arrays

Agenda & Reading. Class Exercise. COMPSCI 105 SS 2012 Principles of Computer Science. Arrays COMPSCI 5 SS Principles of Computer Science Arrys & Multidimensionl Arrys Agend & Reding Agend Arrys Creting & Using Primitive & Reference Types Assignments & Equlity Pss y Vlue & Pss y Reference Copying

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

Ma/CS 6b Class 1: Graph Recap

Ma/CS 6b Class 1: Graph Recap M/CS 6 Clss 1: Grph Recp By Adm Sheffer Course Detils Instructor: Adm Sheffer. TA: Cosmin Pohot. 1pm Mondys, Wednesdys, nd Fridys. http://mth.cltech.edu/~2015-16/2term/m006/ Min ook: Introduction to Grph

More information

From Dependencies to Evaluation Strategies

From Dependencies to Evaluation Strategies From Dependencies to Evlution Strtegies Possile strtegies: 1 let the user define the evlution order 2 utomtic strtegy sed on the dependencies: use locl dependencies to determine which ttriutes to compute

More information

The Fundamental Theorem of Calculus

The Fundamental Theorem of Calculus MATH 6 The Fundmentl Theorem of Clculus The Fundmentl Theorem of Clculus (FTC) gives method of finding the signed re etween the grph of f nd the x-xis on the intervl [, ]. The theorem is: FTC: If f is

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

Context-Free Grammars

Context-Free Grammars Context-Free Grmmrs Descriing Lnguges We've seen two models for the regulr lnguges: Finite utomt ccept precisely the strings in the lnguge. Regulr expressions descrie precisely the strings in the lnguge.

More information

2014 Haskell January Test Regular Expressions and Finite Automata

2014 Haskell January Test Regular Expressions and Finite Automata 0 Hskell Jnury Test Regulr Expressions nd Finite Automt This test comprises four prts nd the mximum mrk is 5. Prts I, II nd III re worth 3 of the 5 mrks vilble. The 0 Hskell Progrmming Prize will be wrded

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

Java CUP. Java CUP Specifications. User Code Additions. Package and Import Specifications

Java CUP. Java CUP Specifications. User Code Additions. Package and Import Specifications Jv CUP Jv CUP is prser-genertion tool, similr to Ycc. CUP uilds Jv prser for LALR(1) grmmrs from production rules nd ssocited Jv code frgments. When prticulr production is recognized, its ssocited code

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

COMPUTER SCIENCE 123. Foundations of Computer Science. 6. Tuples

COMPUTER SCIENCE 123. Foundations of Computer Science. 6. Tuples COMPUTER SCIENCE 123 Foundtions of Computer Science 6. Tuples Summry: This lecture introduces tuples in Hskell. Reference: Thompson Sections 5.1 2 R.L. While, 2000 3 Tuples Most dt comes with structure

More information

Suffix trees, suffix arrays, BWT

Suffix trees, suffix arrays, BWT ALGORITHMES POUR LA BIO-INFORMATIQUE ET LA VISUALISATION COURS 3 Rluc Uricru Suffix trees, suffix rrys, BWT Bsed on: Suffix trees nd suffix rrys presenttion y Him Kpln Suffix trees course y Pco Gomez Liner-Time

More information

Distributed Systems Principles and Paradigms

Distributed Systems Principles and Paradigms Distriuted Systems Principles nd Prdigms Chpter 11 (version April 7, 2008) Mrten vn Steen Vrije Universiteit Amsterdm, Fculty of Science Dept. Mthemtics nd Computer Science Room R4.20. Tel: (020) 598 7784

More information

Midterm 2 Sample solution

Midterm 2 Sample solution Nme: Instructions Midterm 2 Smple solution CMSC 430 Introduction to Compilers Fll 2012 November 28, 2012 This exm contins 9 pges, including this one. Mke sure you hve ll the pges. Write your nme on the

More information

1.5 Extrema and the Mean Value Theorem

1.5 Extrema and the Mean Value Theorem .5 Extrem nd the Men Vlue Theorem.5. Mximum nd Minimum Vlues Definition.5. (Glol Mximum). Let f : D! R e function with domin D. Then f hs n glol mximum vlue t point c, iff(c) f(x) for ll x D. The vlue

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

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

Top-down vs Bottom-up. Bottom up parsing. Sentential form. Handles. Handles in expression example

Top-down vs Bottom-up. Bottom up parsing. Sentential form. Handles. Handles in expression example Bottom up prsing Generl e LR0) LR LR1) LLR o est exploit JvCUP, should understnd the theoreticl sis LR prsing); op-down vs Bottom-up Bottom-up more powerful thn top-down; Cn process more powerful grmmr

More information

Pointers and Arrays. More Pointer Examples. Pointers CS 217

Pointers and Arrays. More Pointer Examples. Pointers CS 217 Pointers nd Arrs CS 21 1 2 Pointers More Pointer Emples Wht is pointer A vrile whose vlue is the ddress of nother vrile p is pointer to vrile v Opertions &: ddress of (reference) *: indirection (dereference)

More information

Unit 5 Vocabulary. A function is a special relationship where each input has a single output.

Unit 5 Vocabulary. A function is a special relationship where each input has a single output. MODULE 3 Terms Definition Picture/Exmple/Nottion 1 Function Nottion Function nottion is n efficient nd effective wy to write functions of ll types. This nottion llows you to identify the input vlue with

More information

box Boxes and Arrows 3 true 7.59 'X' An object is drawn as a box that contains its data members, for example:

box Boxes and Arrows 3 true 7.59 'X' An object is drawn as a box that contains its data members, for example: Boxes nd Arrows There re two kinds of vriles in Jv: those tht store primitive vlues nd those tht store references. Primitive vlues re vlues of type long, int, short, chr, yte, oolen, doule, nd flot. References

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

Information Retrieval and Organisation

Information Retrieval and Organisation Informtion Retrievl nd Orgnistion Suffix Trees dpted from http://www.mth.tu.c.il/~himk/seminr02/suffixtrees.ppt Dell Zhng Birkeck, University of London Trie A tree representing set of strings { } eef d

More information

cisc1110 fall 2010 lecture VI.2 call by value function parameters another call by value example:

cisc1110 fall 2010 lecture VI.2 call by value function parameters another call by value example: cisc1110 fll 2010 lecture VI.2 cll y vlue function prmeters more on functions more on cll y vlue nd cll y reference pssing strings to functions returning strings from functions vrile scope glol vriles

More information

Alignment of Long Sequences. BMI/CS Spring 2012 Colin Dewey

Alignment of Long Sequences. BMI/CS Spring 2012 Colin Dewey Alignment of Long Sequences BMI/CS 776 www.biostt.wisc.edu/bmi776/ Spring 2012 Colin Dewey cdewey@biostt.wisc.edu Gols for Lecture the key concepts to understnd re the following how lrge-scle lignment

More information

2 Computing all Intersections of a Set of Segments Line Segment Intersection

2 Computing all Intersections of a Set of Segments Line Segment Intersection 15-451/651: Design & Anlysis of Algorithms Novemer 14, 2016 Lecture #21 Sweep-Line nd Segment Intersection lst chnged: Novemer 8, 2017 1 Preliminries The sweep-line prdigm is very powerful lgorithmic design

More information

Suffix Tries. Slides adapted from the course by Ben Langmead

Suffix Tries. Slides adapted from the course by Ben Langmead Suffix Tries Slides dpted from the course y Ben Lngmed en.lngmed@gmil.com Indexing with suffixes Until now, our indexes hve een sed on extrcting sustrings from T A very different pproch is to extrct suffixes

More information

Lecture 7: Integration Techniques

Lecture 7: Integration Techniques Lecture 7: Integrtion Techniques Antiderivtives nd Indefinite Integrls. In differentil clculus, we were interested in the derivtive of given rel-vlued function, whether it ws lgeric, eponentil or logrithmic.

More information

What are suffix trees?

What are suffix trees? Suffix Trees 1 Wht re suffix trees? Allow lgorithm designers to store very lrge mount of informtion out strings while still keeping within liner spce Allow users to serch for new strings in the originl

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

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

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have Rndom Numers nd Monte Crlo Methods Rndom Numer Methods The integrtion methods discussed so fr ll re sed upon mking polynomil pproximtions to the integrnd. Another clss of numericl methods relies upon using

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

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

Slides for Data Mining by I. H. Witten and E. Frank

Slides for Data Mining by I. H. Witten and E. Frank Slides for Dt Mining y I. H. Witten nd E. Frnk Simplicity first Simple lgorithms often work very well! There re mny kinds of simple structure, eg: One ttriute does ll the work All ttriutes contriute eqully

More information

Recognition of Tokens

Recognition of Tokens 42 Recognton o Tokens The queston s how to recognze the tokens? Exmple: ssume the ollowng grmmr rgment to generte specc lnguge: stmt expr expr then stmt expr then stmt else stmt term relop term term term

More information

Ma/CS 6b Class 1: Graph Recap

Ma/CS 6b Class 1: Graph Recap M/CS 6 Clss 1: Grph Recp By Adm Sheffer Course Detils Adm Sheffer. Office hour: Tuesdys 4pm. dmsh@cltech.edu TA: Victor Kstkin. Office hour: Tuesdys 7pm. 1:00 Mondy, Wednesdy, nd Fridy. http://www.mth.cltech.edu/~2014-15/2term/m006/

More information

Regular Expressions and Automata using Miranda

Regular Expressions and Automata using Miranda Regulr Expressions nd Automt using Mirnd Simon Thompson Computing Lortory Univerisity of Kent t Cnterury My 1995 Contents 1 Introduction ::::::::::::::::::::::::::::::::: 1 2 Regulr Expressions :::::::::::::::::::::::::::::

More information