Monday, April 9, 2018

Size: px
Start display at page:

Download "Monday, April 9, 2018"

Transcription

1 Monday, April 9, 208 Topics for today Grammars and Languages (Chapter 7) Finite State Machines Semantic actions Code generation Overview Finite State Machines (see 7.2) If a language is regular (Type 3) we can answer the question Is string X in the language? by means of an appropriate Finite State Machine (FSM). For every regular language there is an FSM that can recognize strings in the language. (The reverse is also true for every FSM, we can represent the language it recognizes by means of a regular expression). Visually an FSM might be a graph with the states as nodes and transitions as arcs. One of the states is identified as the start state. The machine is input driven, the combination of current state and input determines what the next state is 2. Only strings that are in the language will cause the FSM to end up in one of the "final" states. In our graphs, the start state is labeled with, final states are labeled with +. In Warford s diagrams he has an arrow pointing to the start state and the final states have a double circle. FSM Example : recognizer for label letter or digit letter colon As a transition table we might have something like the following where the entries tell us the next state given the current state (row) and input (column). This is the case for a deterministic FSM. In a nondeterministic FSM there may be multiple transitions from a particular state for a given input. 2 Algorithms exist that will minimize the number of states in an FSM. This is useful if the FSM is to be implemented in hardware. Comp 62 Notes Page of April 9, 208

2 Input Current State Letter Digit Colon Other 2 Error error error error If we start in state then any string that takes us to state 3 is a label. If input is not a label then the FSM will crash in some error state. The following general algorithm will determine if the input is in the language defined by a transition table. current_state = Start while ( current_state!= error && more_input ) { get(input) current_state = transition_table[current_state][typeof(input)] } if (ismember(finish_states, current_state) output( Yes ) else output( No ) FSM Example 2: recognizer for train On a certain railroad, all trains begin with one or more locomotives followed by zero or more wagons followed by a caboose. Using W for wagons, L for locomotives, and C for cabooses, the following regular expression defines valid trains. The following FSM recognizes valid trains. LL*W*C L 3 W L 2 C W C + 4 Comp 62 Notes Page 2 of April 9, 208

3 As a table Input Current State L W C Other 2 error error error error 3 error 3 4 error Semantic actions Semantic actions are actions associated with particular transitions from one state to another. They are useful for performing such operations as forming input characters into a string or creating a variable containing the value of an input number. Example We can attach semantic actions to our label checker that build up the string as it is read characterbycharacter then, when we read the colon, enters the string into the symbol table. Here are the actions Action When done Details A On reading the first character String S = character B On reading a subsequent noncolon character Append character to S C On reading a colon Enter S into symbol table Here is the modified FSM with transitions labeled input/action Letter/B or digit/b letter /A colon/c Comp 62 Notes Page 3 of April 9, 208

4 FSM Example 3: recognizer for real numbers Assume that in a real number we must have at least one digit before the decimal point or at least one digit after the decimal point. A number can begin with an optional sign character. Thus, Valid Invalid Regular expression: [sign] (digit digit*.digit* digit*.digit digit* ) [x] = none or one x Here is a FSM that recognizes real numbers defined in this way. 2 digit digit digit digit dec. pt sign dec. pt dec. pt 4 digit We can attach semantic actions to our real number parser to create a variable containing the value of the number. There will be an action performed before input is read and another action performed after input has finished and actions associated with statetostate transitions. The actions will use global variables. Here are the actions: Comp 62 Notes Page 4 of April 9, 208

5 Action When done Details Initially dec_places = 0, sign =, N = 0 A On reading a decimal point dec_places = 0 B On reading a sign character if (input = '') sign = C On reading a digit N = N * 0 + input; dec_places++ At the end N *= sign, N = N / (0 dec_places ) So our augmented FSM with transitions now depicting input/action is 2 digit/c digit/c digit/c digit/c dec. pt/a sign/b dec. pt/a dec. pt/a 4 digit/c Here is a trace of what happens when input is the 7character string Input Sign N Dec_places <initially> <end> Comp 62 Notes Page 5 of April 9, 208

6 Code generation (see section 7.4) A compiler, having verified that the input string is legal in the particular programming language, will generate appropriate assembly language. Warford s example in section 7.4 is not very general; we describe and solve a more general problem: Translate an arithmetic expression into Pep/9 assembly language Like a compiler, we can produce the assembly code in two phases: () Analysis: verify input and build an appropriate data structure. (2) Synthesis: generate code from the data structure Example simple assignment statements such as X = A + ( B + C ) * ( D + E ) Analysis: A binary tree representing the expression is constructed using semantic actions as the expression is read symbol by symbol. If input were the expression above we get this tree that correctly represents the priorities of the arithmetic operations. = X + A * + + B C D E Synthesis: We traverse the tree in a systematic way to generate assembly code. For example, from the tree above, the sequence of Pep/9 assembly language begins subsp 2,i ldwa B,d stwa 0,s subsp 2,i ldwa C,d etc We will lead up to the Analysis and Synthesis algorithms involved by first looking at three simpler ones. Comp 62 Notes Page 6 of April 9, 208

7 Algorithm. Evaluation of a postfix expression Algorithm 2. Conversion of an infix expression to postfix form Algorithm 3. Evaluation of an infix expression (algorithms and 2 combined). Then we can look at the Analysis algorithm Algorithm 4: Building a tree from an infix expression And finally at the Synthesis algorithm Algorithm 5: Generating assembly code We know that the language of arithmetic expressions is not Type 3 so a simple finite state machine will not be sufficient to process it. Our algorithm will use stacks. Algorithm will use a stack of operands (numbers) Algorithm 2 will use a stack of operators Algorithm 3, because it combines Algorithms and 2 will use two stacks one of operands and one of operators. We will keep our algorithm as simple as possible by limiting our identifiers to single letter and constants to single digits. Reading We are looking at an alternative to Warford s section 7.4 Comp 62 Notes Page 7 of April 9, 208

8 Review Questions. (a) draw a FSM that accepts unary numbers that are multiples of 3. (b) how many states are there in a FSM that accepts unary numbers that are multiples of k? 2. (a) draw a FSM that accepts unsigned binary integers that are multiples of 4. (b) how many states are there in a FSM that accepts unsigned binary numbers that are multiples of 2 k? 3. The Wikipedia entry for Regular Expression claims that the following regular expression (0 ((0*0)*))* represents the language of positive binary numbers that are multiples of 3. Draw the corresponding FSM and test the claim. 4. For each of the following regular expressions, draw a FSM that recognizes the same language. (a) a (b c)* d (b) a (bc)* d 5. Derive a regular expression for the language recognized by the following FSM A D E G A,C + F B C I H C Comp 62 Notes Page 8 of April 9, 208

9 6. Consider the real number recognizer. For each of the following invalid inputs identify as appropriate the state where the FSM crashes or the nonfinal state it is in when the input ends. (a) (b) 624 (c).2 (d) The notes show the first few instructions generated from the tree representing X = A + ( B + C ) * ( D + E ) What are likely to be the final three instructions? 8. Suppose we remove the parentheses from our example assignment resulting in X = A + B + C * D + E Draw a tree that represents this revised statement Comp 62 Notes Page 9 of April 9, 208

10 Review Answers. (a) + + (b) k+ 2. (a) (b) k (a) C A D + B Comp 62 Notes Page 0 of April 9, 208

11 (b) A D + B C 5. (AD) (BC) E* F (G (HI) )* 6. (a) 5 (b) 2 (c) 3 (d) 5 7. ldwa 0,s stwa X,d addsp 2,i 8. = X + A + B + * E C D Comp 62 Notes Page of April 9, 208

Wednesday, November 8, 2017

Wednesday, November 8, 2017 Wednesday, November 8, 207 Topics for today Grammars and Languages (hapter 7) Finite State Machines Semantic actions ode generation - Overview Finite State Machines (see 7.2) If a language is regular (Type

More information

Monday, April 14, 2014

Monday, April 14, 2014 Monday, April 14, 2014 Topics for today Grammars and Languages (Chapter 7) Finite State Machines Semantic actions Code generation - Overview Analysis Algorithm 1: evaluation of postfix Algorithm 2: infix

More information

Monday, November 9, 2015

Monday, November 9, 2015 Monday, November 9, 2015 Topics for today Grammars and Languages (Chapter 7) Finite State Machines Semantic actions Code generation - Overview nalysis lgorithm 1: evaluation of postfix lgorithm 2: infix

More information

Monday, April 15, We will lead up to the Analysis and Synthesis algorithms involved by first looking at three simpler ones.

Monday, April 15, We will lead up to the Analysis and Synthesis algorithms involved by first looking at three simpler ones. Monday, pril 15, 2013 Topics for today Code generation nalysis lgorithm 1: evaluation of postfix lgorithm 2: infix to postfix lgorithm 3: evaluation of infix lgorithm 4: infix to tree Synthesis lgorithm

More information

Monday, November 13, 2017

Monday, November 13, 2017 Monday, November 13, 2017 Topics for today ode generation nalysis lgorithm 1: evaluation of postfix lgorithm 2: infix to postfix lgorithm 3: evaluation of infix lgorithm 4: infix to tree nalysis We are

More information

Monday, March 6, We have seen how to translate void functions. What about functions that return a value such as

Monday, March 6, We have seen how to translate void functions. What about functions that return a value such as Monday, March 6, 2017 Topics for today C functions and Pep/9 subroutines Translating functions (c) Non-void functions (d) Recursive functions Reverse Engineering: Pep/9 to C C Functions and Pep/9 Subroutines

More information

Wednesday, September 27, 2017

Wednesday, September 27, 2017 Wednesday, September 27, 2017 Topics for today Chapter 6: Mapping High-level to assembly-level The Pep/9 run-time stack (6.1) Stack-relative addressing (,s) SP manipulation Stack as scratch space Global

More information

STACKS. A stack is defined in terms of its behavior. The common operations associated with a stack are as follows:

STACKS. A stack is defined in terms of its behavior. The common operations associated with a stack are as follows: STACKS A stack is a linear data structure for collection of items, with the restriction that items can be added one at a time and can only be removed in the reverse order in which they were added. The

More information

Wednesday, November 15, 2017

Wednesday, November 15, 2017 Wednesday, November 15, 2017 Topics for today Code generation Synthesis Algorithm 5: tree to code Optimizations Code generation Algorithm 5: generating assembly code Visiting all the nodes in a linked

More information

Monday, March 27, 2017

Monday, March 27, 2017 Monday, March 27, 2017 Topics for today Indexed branching Implementation of switch statement Reusable subroutines Indexed branching It turns out that arrays are useful in translating other language constructs,

More information

Formal Languages and Automata Theory, SS Project (due Week 14)

Formal Languages and Automata Theory, SS Project (due Week 14) Formal Languages and Automata Theory, SS 2018. Project (due Week 14) 1 Preliminaries The objective is to implement an algorithm for the evaluation of an arithmetic expression. As input, we have a string

More information

Monday, March 9, 2015

Monday, March 9, 2015 Monday, March 9, 2015 Topics for today C functions and Pep/8 subroutines Passing parameters by reference Globals Locals More reverse engineering: Pep/8 to C Representation of Booleans C Functions and Pep/8

More information

CSE 401 Midterm Exam 11/5/10

CSE 401 Midterm Exam 11/5/10 Name There are 5 questions worth a total of 100 points. Please budget your time so you get to all of the questions. Keep your answers brief and to the point. The exam is closed books, closed notes, closed

More information

Wednesday, February 15, 2017

Wednesday, February 15, 2017 Wednesday, February 15, 2017 Topics for today Before and after assembly: Macros, Linkers Overview of Chapter 6 Branching Unconditional Status bits and branching If statements While statements The V and

More information

This book is licensed under a Creative Commons Attribution 3.0 License

This book is licensed under a Creative Commons Attribution 3.0 License 6. Syntax Learning objectives: syntax and semantics syntax diagrams and EBNF describe context-free grammars terminal and nonterminal symbols productions definition of EBNF by itself parse tree grammars

More information

Examples of attributes: values of evaluated subtrees, type information, source file coordinates,

Examples of attributes: values of evaluated subtrees, type information, source file coordinates, 1 2 3 Attributes can be added to the grammar symbols, and program fragments can be added as semantic actions to the grammar, to form a syntax-directed translation scheme. Some attributes may be set by

More information

Wednesday, September 13, Chapter 4

Wednesday, September 13, Chapter 4 Wednesday, September 13, 2017 Topics for today Introduction to Computer Systems Static overview Operation Cycle Introduction to Pep/9 Features of the system Operational cycle Program trace Categories of

More information

An Interactive Desk Calculator. Project P2 of. Common Lisp: An Interactive Approach. Stuart C. Shapiro. Department of Computer Science

An Interactive Desk Calculator. Project P2 of. Common Lisp: An Interactive Approach. Stuart C. Shapiro. Department of Computer Science An Interactive Desk Calculator Project P2 of Common Lisp: An Interactive Approach Stuart C. Shapiro Department of Computer Science State University of New York at Bualo January 25, 1996 The goal of this

More information

Wednesday, February 28, 2018

Wednesday, February 28, 2018 Wednesday, February 28, 2018 Topics for today C functions and Pep/9 subroutines Introduction Location of subprograms in a program Translating functions (a) Void functions (b) Void functions with parameters

More information

Wednesday, September 20, 2017

Wednesday, September 20, 2017 Wednesday, September 20, 2017 Topics for today More high-level to Pep/9 translations Compilers and Assemblers How assemblers work Symbol tables ILC Pass 1 algorithm, Error checking Pass 2 Immediate mode

More information

Monday, October 17, 2016

Monday, October 17, 2016 Monday, October 17, 2016 Topics for today C functions and Pep/8 subroutines Passing parameters by reference Globals Locals Reverse Engineering II Representation of Booleans C Functions and Pep/8 Subroutines

More information

COMP-421 Compiler Design. Presented by Dr Ioanna Dionysiou

COMP-421 Compiler Design. Presented by Dr Ioanna Dionysiou COMP-421 Compiler Design Presented by Dr Ioanna Dionysiou Administrative! Any questions about the syllabus?! Course Material available at www.cs.unic.ac.cy/ioanna! Next time reading assignment [ALSU07]

More information

Code No: R Set No. 1

Code No: R Set No. 1 Code No: R05010106 Set No. 1 1. (a) Draw a Flowchart for the following The average score for 3 tests has to be greater than 80 for a candidate to qualify for the interview. Representing the conditional

More information

Infix to Postfix Conversion

Infix to Postfix Conversion Infix to Postfix Conversion Infix to Postfix Conversion Stacks are widely used in the design and implementation of compilers. For example, they are used to convert arithmetic expressions from infix notation

More information

Theory and Compiling COMP360

Theory and Compiling COMP360 Theory and Compiling COMP360 It has been said that man is a rational animal. All my life I have been searching for evidence which could support this. Bertrand Russell Reading Read sections 2.1 3.2 in the

More information

Stacks (Section 2) By: Pramod Parajuli, Department of Computer Science, St. Xavier s College, Nepal.

Stacks (Section 2) By: Pramod Parajuli, Department of Computer Science, St. Xavier s College, Nepal. (Section 2) Linked list implementation of stack Typical Application of stacks Evaluation of expressions (infix, postfix, prefix) References and further details By: Pramod Parajuli, Department of Computer

More information

Wednesday, March 14, 2018

Wednesday, March 14, 2018 Wednesday, March 14, 2018 Topics for today Arrays and Indexed Addressing Arrays as parameters of functions Multi-dimensional arrays Option A: Space-minimal solution Option B: Iliffe vectors Array bound

More information

A Simple Syntax-Directed Translator

A Simple Syntax-Directed Translator Chapter 2 A Simple Syntax-Directed Translator 1-1 Introduction The analysis phase of a compiler breaks up a source program into constituent pieces and produces an internal representation for it, called

More information

Stating the obvious, people and computers do not speak the same language.

Stating the obvious, people and computers do not speak the same language. 3.4 SYSTEM SOFTWARE 3.4.3 TRANSLATION SOFTWARE INTRODUCTION Stating the obvious, people and computers do not speak the same language. People have to write programs in order to instruct a computer what

More information

CSE P 501 Exam 8/5/04

CSE P 501 Exam 8/5/04 Name There are 7 questions worth a total of 65 points. Please budget your time so you get to all of the questions. Keep your answers brief and to the point. You may refer to the following references: Course

More information

Structure of a Compiler: Scanner reads a source, character by character, extracting lexemes that are then represented by tokens.

Structure of a Compiler: Scanner reads a source, character by character, extracting lexemes that are then represented by tokens. CS 441 Fall 2018 Notes Compiler - software that translates a program written in a source file into a program stored in a target file, reporting errors when found. Source Target program written in a High

More information

1. Lexical Analysis Phase

1. Lexical Analysis Phase 1. Lexical Analysis Phase The purpose of the lexical analyzer is to read the source program, one character at time, and to translate it into a sequence of primitive units called tokens. Keywords, identifiers,

More information

British Informatics Olympiad Final 30 March 1 April, 2007 Sponsored by Lionhead Studios. Parsing

British Informatics Olympiad Final 30 March 1 April, 2007 Sponsored by Lionhead Studios. Parsing British Informatics Olympiad Final 30 March 1 April, 2007 Sponsored by Lionhead Studios Parsing This question is quite long do not worry if you do not get to the end Backus-Naur form One of the first tasks

More information

Midterm 2 Solutions Many acceptable answers; one was the following: (defparameter g1

Midterm 2 Solutions Many acceptable answers; one was the following: (defparameter g1 Midterm 2 Solutions 1. [20 points] Consider the language that consist of possibly empty lists of the identifier x enclosed by parentheses and separated by commas. The language includes { () (x) (x,x) (x,x,x)

More information

CSC 221: Computer Organization, Spring 2009

CSC 221: Computer Organization, Spring 2009 1 of 7 4/17/2009 10:52 AM Overview Schedule Resources Assignments Home CSC 221: Computer Organization, Spring 2009 Practice Exam 2 Solutions The exam will be open-book, so that you don't have to memorize

More information

CS Lecture 2. The Front End. Lecture 2 Lexical Analysis

CS Lecture 2. The Front End. Lecture 2 Lexical Analysis CS 1622 Lecture 2 Lexical Analysis CS 1622 Lecture 2 1 Lecture 2 Review of last lecture and finish up overview The first compiler phase: lexical analysis Reading: Chapter 2 in text (by 1/18) CS 1622 Lecture

More information

4. Inputting data or messages to a function is called passing data to the function.

4. Inputting data or messages to a function is called passing data to the function. Test Bank for A First Book of ANSI C 4th Edition by Bronson Link full download test bank: http://testbankcollection.com/download/test-bank-for-a-first-book-of-ansi-c-4th-edition -by-bronson/ Link full

More information

Monday, November 7, Structures and dynamic memory

Monday, November 7, Structures and dynamic memory Monday, November 7, 2016 Topics for today Structures Structures and dynamic memory Grammars and Languages (Chapter 7) String generation Parsing Regular languages Structures We have seen one composite data

More information

KEY. A 1. The action of a grammar when a derivation can be found for a sentence. Y 2. program written in a High Level Language

KEY. A 1. The action of a grammar when a derivation can be found for a sentence. Y 2. program written in a High Level Language 1 KEY CS 441G Fall 2018 Exam 1 Matching: match the best term from the following list to its definition by writing the LETTER of the term in the blank to the left of the definition. (1 point each) A Accepts

More information

Prefix/Infix/Postfix Notation

Prefix/Infix/Postfix Notation Prefix/Infix/Postfix Notation One commonly writes arithmetic expressions, such as 3 + 4 * (5-2) in infix notation which means that the operator is placed in between the two operands. In this example, the

More information

Monday, March 13, 2017

Monday, March 13, 2017 Monday, March 13, 2017 Topics for today Arrays and Indexed Addressing Global arrays Local arrays Buffer exploit attacks Arrays and indexed addressing (section 6.4) So far we have looked at scalars (int,

More information

Lecture Chapter 6 Recursion as a Problem Solving Technique

Lecture Chapter 6 Recursion as a Problem Solving Technique Lecture Chapter 6 Recursion as a Problem Solving Technique Backtracking 1. Select, i.e., guess, a path of steps that could possibly lead to a solution 2. If the path leads to a dead end then retrace steps

More information

CD Assignment I. 1. Explain the various phases of the compiler with a simple example.

CD Assignment I. 1. Explain the various phases of the compiler with a simple example. CD Assignment I 1. Explain the various phases of the compiler with a simple example. The compilation process is a sequence of various phases. Each phase takes input from the previous, and passes the output

More information

Recursion as a Problem-Solving Technique. Chapter 5

Recursion as a Problem-Solving Technique. Chapter 5 Recursion as a Problem-Solving Technique Chapter 5 Overview Ass2: TimeSpan Ass3: Maze "Quiz Ch02 + Ch05" - due before Wednesday class Not all in-class quizzes will be announced ahead of time Week-5: Sample

More information

Wednesday, April 16, 2014

Wednesday, April 16, 2014 Wednesday, pril 16, 2014 Topics for today Homework #5 solutions Code generation nalysis lgorithm 4: infix to tree Synthesis lgorithm 5: tree to code Optimization HW #5 solutions 1. lda 0,i ; for sum of

More information

CS 206 Introduction to Computer Science II

CS 206 Introduction to Computer Science II CS 206 Introduction to Computer Science II 03 / 31 / 2017 Instructor: Michael Eckmann Today s Topics Questions? Comments? finish RadixSort implementation some applications of stack Priority Queues Michael

More information

Wednesday, February 7, 2018

Wednesday, February 7, 2018 Wednesday, February 7, 2018 Topics for today The Pep/9 memory Four example programs The loader The assembly language level (Chapter 5) Symbolic Instructions Assembler directives Immediate mode and equate

More information

Structure of a compiler. More detailed overview of compiler front end. Today we ll take a quick look at typical parts of a compiler.

Structure of a compiler. More detailed overview of compiler front end. Today we ll take a quick look at typical parts of a compiler. More detailed overview of compiler front end Structure of a compiler Today we ll take a quick look at typical parts of a compiler. This is to give a feeling for the overall structure. source program lexical

More information

Problem with Scanning an Infix Expression

Problem with Scanning an Infix Expression Operator Notation Consider the infix expression (X Y) + (W U), with parentheses added to make the evaluation order perfectly obvious. This is an arithmetic expression written in standard form, called infix

More information

CIS 1.5 Course Objectives. a. Understand the concept of a program (i.e., a computer following a series of instructions)

CIS 1.5 Course Objectives. a. Understand the concept of a program (i.e., a computer following a series of instructions) By the end of this course, students should CIS 1.5 Course Objectives a. Understand the concept of a program (i.e., a computer following a series of instructions) b. Understand the concept of a variable

More information

About the Tutorial. Audience. Prerequisites. Copyright & Disclaimer. Compiler Design

About the Tutorial. Audience. Prerequisites. Copyright & Disclaimer. Compiler Design i About the Tutorial A compiler translates the codes written in one language to some other language without changing the meaning of the program. It is also expected that a compiler should make the target

More information

Lexical Scanning COMP360

Lexical Scanning COMP360 Lexical Scanning COMP360 Captain, we re being scanned. Spock Reading Read sections 2.1 3.2 in the textbook Regular Expression and FSA Assignment A new assignment has been posted on Blackboard It is due

More information

CS 314 Principles of Programming Languages. Lecture 3

CS 314 Principles of Programming Languages. Lecture 3 CS 314 Principles of Programming Languages Lecture 3 Zheng Zhang Department of Computer Science Rutgers University Wednesday 14 th September, 2016 Zheng Zhang 1 CS@Rutgers University Class Information

More information

Operators and Expressions:

Operators and Expressions: Operators and Expressions: Operators and expression using numeric and relational operators, mixed operands, type conversion, logical operators, bit operations, assignment operator, operator precedence

More information

Lec-5-HW-1, TM basics

Lec-5-HW-1, TM basics Lec-5-HW-1, TM basics (Problem 0)-------------------- Design a Turing Machine (TM), T_sub, that does unary decrement by one. Assume a legal, initial tape consists of a contiguous set of cells, each containing

More information

9/21/17. Outline. Expression Evaluation and Control Flow. Arithmetic Expressions. Operators. Operators. Notation & Placement

9/21/17. Outline. Expression Evaluation and Control Flow. Arithmetic Expressions. Operators. Operators. Notation & Placement Outline Expression Evaluation and Control Flow In Text: Chapter 6 Notation Operator evaluation order Operand evaluation order Overloaded operators Type conversions Short-circuit evaluation of conditions

More information

Compiler Code Generation COMP360

Compiler Code Generation COMP360 Compiler Code Generation COMP360 Students who acquire large debts putting themselves through school are unlikely to think about changing society. When you trap people in a system of debt, they can t afford

More information

More on Syntax. Agenda for the Day. Administrative Stuff. More on Syntax In-Class Exercise Using parse trees

More on Syntax. Agenda for the Day. Administrative Stuff. More on Syntax In-Class Exercise Using parse trees More on Syntax Judy Stafford Comp 80 Meeting February, 00 Agenda for the Day Administrative Stuff Moodle Classlist at without waiting list More on Syntax InClass Exercise Using parse trees Last time Syntax

More information

Monday, February 16, 2015

Monday, February 16, 2015 Monday, February 16, 2015 Topics for today How assemblers work Symbol tables ILC Pass 1 algorithm, Error checking Pass 2 Immediate mode and equate Assembler variants: Disassembler, Cross assembler Macros

More information

Midterm Solutions COMS W4115 Programming Languages and Translators Wednesday, March 25, :10-5:25pm, 309 Havemeyer

Midterm Solutions COMS W4115 Programming Languages and Translators Wednesday, March 25, :10-5:25pm, 309 Havemeyer Department of Computer cience Columbia University Midterm olutions COM W4115 Programming Languages and Translators Wednesday, March 25, 2009 4:10-5:25pm, 309 Havemeyer Closed book, no aids. ach question

More information

ECS 120 Lesson 7 Regular Expressions, Pt. 1

ECS 120 Lesson 7 Regular Expressions, Pt. 1 ECS 120 Lesson 7 Regular Expressions, Pt. 1 Oliver Kreylos Friday, April 13th, 2001 1 Outline Thus far, we have been discussing one way to specify a (regular) language: Giving a machine that reads a word

More information

Computer Programming CS F111

Computer Programming CS F111 Computer Programming CS F111 BITS Pilani Dubai Campus NAND KUMAR Basics of C Programming BITS Pilani Dubai Campus Write a program that 1. Asks 5 marks from the user, find the average of the marks and print

More information

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences. Spring 2010 May 10, 2010

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences. Spring 2010 May 10, 2010 University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences EECS150 J. Wawrzynek Spring 2010 May 10, 2010 Final Exam Name: ID number: This is

More information

COMP-421 Compiler Design. Presented by Dr Ioanna Dionysiou

COMP-421 Compiler Design. Presented by Dr Ioanna Dionysiou COMP-421 Compiler Design Presented by Dr Ioanna Dionysiou Administrative! [ALSU03] Chapter 3 - Lexical Analysis Sections 3.1-3.4, 3.6-3.7! Reading for next time [ALSU03] Chapter 3 Copyright (c) 2010 Ioanna

More information

There are many other applications like constructing the expression tree from the postorder expression. I leave you with an idea as how to do it.

There are many other applications like constructing the expression tree from the postorder expression. I leave you with an idea as how to do it. Programming, Data Structures and Algorithms Prof. Hema Murthy Department of Computer Science and Engineering Indian Institute of Technology, Madras Lecture 49 Module 09 Other applications: expression tree

More information

Wednesday, February 4, Chapter 4

Wednesday, February 4, Chapter 4 Wednesday, February 4, 2015 Topics for today Introduction to Computer Systems Static overview Operation Cycle Introduction to Pep/8 Features of the system Operational cycle Program trace Categories of

More information

Linear Data Structure

Linear Data Structure Linear Data Structure Definition A data structure is said to be linear if its elements form a sequence or a linear list. Examples: Array Linked List Stacks Queues Operations on linear Data Structures Traversal

More information

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved Stacks Chapter 5 Copyright 2012 by Pearson Education, Inc. All rights reserved Contents Specifications of the ADT Stack Using a Stack to Process Algebraic Expressions A Problem Solved: Checking for Balanced

More information

We use L i to stand for LL L (i times). It is logical to define L 0 to be { }. The union of languages L and M is given by

We use L i to stand for LL L (i times). It is logical to define L 0 to be { }. The union of languages L and M is given by The term languages to mean any set of string formed from some specific alphaet. The notation of concatenation can also e applied to languages. If L and M are languages, then L.M is the language consisting

More information

Expression Evaluation and Control Flow. Outline

Expression Evaluation and Control Flow. Outline Expression Evaluation and Control Flow In Text: Chapter 6 Outline Notation Operator Evaluation Order Operand Evaluation Order Overloaded operators Type conversions Short-circuit evaluation of conditions

More information

ASTS, GRAMMARS, PARSING, TREE TRAVERSALS. Lecture 14 CS2110 Fall 2018

ASTS, GRAMMARS, PARSING, TREE TRAVERSALS. Lecture 14 CS2110 Fall 2018 1 ASTS, GRAMMARS, PARSING, TREE TRAVERSALS Lecture 14 CS2110 Fall 2018 Announcements 2 Today: The last day to request prelim regrades Assignment A4 due next Thursday night. Please work on it early and

More information

syntax tree - * * * * * *

syntax tree - * * * * * * Announcements Today: The last day to request prelim regrades Assignment A4 due next Thursday night. Please work on it early and steadily. Watch the two videos on recursion on trees before working on A4!

More information

CS164: Midterm I. Fall 2003

CS164: Midterm I. Fall 2003 CS164: Midterm I Fall 2003 Please read all instructions (including these) carefully. Write your name, login, and circle the time of your section. Read each question carefully and think about what s being

More information

Computer Components. Software{ User Programs. Operating System. Hardware

Computer Components. Software{ User Programs. Operating System. Hardware Computer Components Software{ User Programs Operating System Hardware What are Programs? Programs provide instructions for computers Similar to giving directions to a person who is trying to get from point

More information

Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology

Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology exam Compiler Construction in4303 April 9, 2010 14.00-15.30 This exam (6 pages) consists of 52 True/False

More information

LECTURE 17. Expressions and Assignment

LECTURE 17. Expressions and Assignment LECTURE 17 Expressions and Assignment EXPRESSION SYNTAX An expression consists of An atomic object, e.g. number or variable. An operator (or function) applied to a collection of operands (or arguments)

More information

CSE 582 Autumn 2002 Exam 11/26/02

CSE 582 Autumn 2002 Exam 11/26/02 Name There are 8 questions worth a total of 100 points. Please budget your time so you get to all of the questions. Keep your answers brief and to the point. You may refer to the following reference materials:

More information

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS 3//15 1 AD: Abstract Data ype 2 Just like a type: Bunch of values together with operations on them. Used often in discussing data structures Important: he definition says ntthing about the implementation,

More information

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS 1 Pointers to material ADS, GRAMMARS, PARSING, R RAVRSALS Lecture 13 CS110 all 016 Parse trees: text, section 3.36 Definition of Java Language, sometimes useful: docs.oracle.com/javase/specs/jls/se8/html/index.html

More information

SOFTWARE DEVELOPMENT 1. Operators 2018W A. Ferscha (Institute of Pervasive Computing, JKU Linz)

SOFTWARE DEVELOPMENT 1. Operators 2018W A. Ferscha (Institute of Pervasive Computing, JKU Linz) SOFTWARE DEVELOPMENT 1 Operators 2018W (Institute of Pervasive Computing, JKU Linz) OPERATORS Operators are required to form expressions. Depending on the number of operands they take, they are called:

More information

CSE P 501 Compilers. Parsing & Context-Free Grammars Hal Perkins Winter /15/ Hal Perkins & UW CSE C-1

CSE P 501 Compilers. Parsing & Context-Free Grammars Hal Perkins Winter /15/ Hal Perkins & UW CSE C-1 CSE P 501 Compilers Parsing & Context-Free Grammars Hal Perkins Winter 2008 1/15/2008 2002-08 Hal Perkins & UW CSE C-1 Agenda for Today Parsing overview Context free grammars Ambiguous grammars Reading:

More information

Revision Statement while return growth rate asymptotic notation complexity Compare algorithms Linear search Binary search Preconditions: sorted,

Revision Statement while return growth rate asymptotic notation complexity Compare algorithms Linear search Binary search Preconditions: sorted, [1] Big-O Analysis AVERAGE(n) 1. sum 0 2. i 0. while i < n 4. number input_number(). sum sum + number 6. i i + 1 7. mean sum / n 8. return mean Revision Statement no. of times executed 1 1 2 1 n+1 4 n

More information

Draw a diagram of an empty circular queue and describe it to the reader.

Draw a diagram of an empty circular queue and describe it to the reader. 1020_1030_testquestions.text Wed Sep 10 10:40:46 2014 1 1983/84 COSC1020/30 Tests >>> The following was given to students. >>> Students can have a good idea of test questions by examining and trying the

More information

Lexical Analysis. COMP 524, Spring 2014 Bryan Ward

Lexical Analysis. COMP 524, Spring 2014 Bryan Ward Lexical Analysis COMP 524, Spring 2014 Bryan Ward Based in part on slides and notes by J. Erickson, S. Krishnan, B. Brandenburg, S. Olivier, A. Block and others The Big Picture Character Stream Scanner

More information

CS 441G Fall 2018 Exam 1 Matching: LETTER

CS 441G Fall 2018 Exam 1 Matching: LETTER CS 441G Fall 2018 Exam 1 Matching: match the best term from the following list to its definition by writing the LETTER of the term in the blank to the left of the definition. All 31 definitions are given

More information

Compiling Regular Expressions COMP360

Compiling Regular Expressions COMP360 Compiling Regular Expressions COMP360 Logic is the beginning of wisdom, not the end. Leonard Nimoy Compiler s Purpose The compiler converts the program source code into a form that can be executed by the

More information

Operators & Expressions

Operators & Expressions Operators & Expressions Operator An operator is a symbol used to indicate a specific operation on variables in a program. Example : symbol + is an add operator that adds two data items called operands.

More information

Le L c e t c ur u e e 2 To T p o i p c i s c t o o b e b e co c v o e v r e ed e Variables Operators

Le L c e t c ur u e e 2 To T p o i p c i s c t o o b e b e co c v o e v r e ed e Variables Operators Course Name: Advanced Java Lecture 2 Topics to be covered Variables Operators Variables -Introduction A variables can be considered as a name given to the location in memory where values are stored. One

More information

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved Stacks Chapter 5 Contents Specifications of the ADT Stack Using a Stack to Process Algebraic Expressions A Problem Solved: Checking for Balanced Delimiters in an Infix Algebraic Expression A Problem Solved:

More information

Wednesday, February 19, 2014

Wednesday, February 19, 2014 Wednesda, Februar 19, 2014 Topics for toda Solutions to HW #2 Topics for Eam #1 Chapter 6: Mapping High-level to assembl-level The Pep/8 run-time stack Stack-relative addressing (,s) SP manipulation Stack

More information

CDA 3103 Computer Organization Homework #7 Solution Set

CDA 3103 Computer Organization Homework #7 Solution Set CDA 3103 Computer Organization Homework #7 Solution Set 1 Problems 1. Write a MARIE assembly program for the following algorithm where the subroutine takes two numbers and returns their product. Your assembly

More information

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS. Regrades 10/6/15. Prelim 1. Prelim 1. Expression trees. Pointers to material

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS. Regrades 10/6/15. Prelim 1. Prelim 1. Expression trees. Pointers to material 1 Prelim 1 2 Max: 99 Mean: 71.2 Median: 73 Std Dev: 1.6 ADS, GRAMMARS, PARSING, R RAVRSALS Lecture 12 CS2110 Spring 2015 3 Prelim 1 Score Grade % 90-99 A 82-89 A-/A 26% 70-82 B/B 62-69 B-/B 50% 50-59 C-/C

More information

Supplemental Materials: Grammars, Parsing, and Expressions. Topics. Grammars 10/11/2017. CS2: Data Structures and Algorithms Colorado State University

Supplemental Materials: Grammars, Parsing, and Expressions. Topics. Grammars 10/11/2017. CS2: Data Structures and Algorithms Colorado State University Supplemental Materials: Grammars, Parsing, and Expressions CS2: Data Structures and Algorithms Colorado State University Original slides by Chris Wilcox, Updated by Russ Wakefield and Wim Bohm Topics Grammars

More information

CSCI312 Principles of Programming Languages!

CSCI312 Principles of Programming Languages! CSCI312 Principles of Programming Languages!! Chapter 3 Regular Expression and Lexer Xu Liu Recap! Copyright 2006 The McGraw-Hill Companies, Inc. Clite: Lexical Syntax! Input: a stream of characters from

More information

Advanced Computer Networks. Rab Nawaz Jadoon DCS. Assistant Professor COMSATS University, Lahore Pakistan. Department of Computer Science

Advanced Computer Networks. Rab Nawaz Jadoon DCS. Assistant Professor COMSATS University, Lahore Pakistan. Department of Computer Science Advanced Computer Networks Department of Computer Science DCS COMSATS Institute of Information Technology Rab Nawaz Jadoon Assistant Professor COMSATS University, Lahore Pakistan Advanced Computer Networks

More information

Wednesday, September 6, 2017

Wednesday, September 6, 2017 Wednesday, September 6, 2017 Topics for today Arithmetic operations and status bits Logical operators Introduction to bigger bases Encoding characters Coding in general Status bits We saw last time that

More information

Pushdown Automata. A PDA is an FA together with a stack.

Pushdown Automata. A PDA is an FA together with a stack. Pushdown Automata A PDA is an FA together with a stack. Stacks A stack stores information on the last-in firstout principle. Items are added on top by pushing; items are removed from the top by popping.

More information

Declaration and Memory

Declaration and Memory Declaration and Memory With the declaration int width; the compiler will set aside a 4-byte (32-bit) block of memory (see right) The compiler has a symbol table, which will have an entry such as Identifier

More information

Input part 3: Implementing Interaction Techniques

Input part 3: Implementing Interaction Techniques Input part 3: Implementing Interaction Techniques Recap: Interaction techniques A method for carrying out a specific interactive task Example: enter a number in a range could use (simulated) slider (simulated)

More information

Announcements! P1 part 1 due next Tuesday P1 part 2 due next Friday

Announcements! P1 part 1 due next Tuesday P1 part 2 due next Friday Announcements! P1 part 1 due next Tuesday P1 part 2 due next Friday 1 Finite-state machines CS 536 Last time! A compiler is a recognizer of language S (Source) a translator from S to T (Target) a program

More information