Space War Class Diagram. Elements of OOP. How to design interactions between objects. Space War Class Diagram with Inheritance

Size: px
Start display at page:

Download "Space War Class Diagram. Elements of OOP. How to design interactions between objects. Space War Class Diagram with Inheritance"

Transcription

1 Elements of OOP Object Smart data structure Set of state variables Set of methods for manipulating state variables Class: Specifies the common behavior of entities Instance: A particular object or entity of a given class Space War Class Diagram TORPEDO velocity: target: proximity-fuse: TORPEDO? VELOCITY MOVE SHIP velocity: num-torps: VELOCITY MOVE SHIP? ATTACK EXPLODE PLANET PLANET? Ships and torpedoes have some behavior that is the same is there are way to capture this commonality? 1/9 2/9 Space War Class Diagram with Inheritance is-a MOBILE -THING velocity: MOBILE-THING? VELOCITY MOVE is-a SHIP class is a specialization or sub-class of the MOBILE -THING class SHIP is-a MOBILE -THING SHIP inherits the state and behavior of MOBILE -THING MOBILE -THING class is a super-class of the SHIP and TORPEDO classes How to design interactions between objects Focus on classes objects Relationships between classes Kinds of interactions that need to be supported between instances of classes For now, assume the following interface to an object: (ask <object> <method> <arguments>) TORPEDO target: proximity-fuse: TORPEDO? has-a target SHIP num-torps: SHIP? ATTACK EXPLODE PLANET PLANET? 3/9 4/9 (define person-1 (make-person Fred Jones)) (ask person-1 (hello there)) hello there (ask person-1 ) Fred (define professor-1 (make-professor sam smith)) (ask professor-1 say (hello there)) hello there 5/9 6/9 1

2 7/9 (ask professor-1 ) Professor Smith (ask professor-1 ) Professor Smith (ask professor-1 (the sky is blue)) Therefore, the sky is blue A professor should delegate part of the lecture method to a person s say method. 8/9 (define ap-1 (make-arrogantprof Ned Infallible)) (define ap-1 (make-arrogantprof Ned Infallible)) (ask ap-1 (nice weather we are having)) nice weather we are having, obviously (ask ap-1 (nice weather we are having)) Therefore, nice weather we are having 9/9 10/9 (define ap-1 (make-arrogantprof Ned Infallible)) (ask ap-1 (nice weather we are having)) Therefore, nice weather we are having, obviously (define stud (make -student bert sesame)) (ask stud (I do not understand)) Excuse me, but I do not understand 11/9 12/9 2

3 13/9 (ask stud question ap-1 (why does this code work)) this should be obvious to you 14/9 (ask professor-1 question ap-1 (why does this code work)) Why are you asking me about why does this code work I thought you published a paper on that topic (ask stud?) #t (ask professor-1?) #t?? 15/9 16/9 Lessons from our simple class hierarchy tagging of instances specifying class hierarchies and ensuring that instances creating superclass instances inheriting of methods from class hierarchies delegation of methods to other instances within a class hierarchy How build an OOP system in Scheme? Objects: as procedures that take messages Instances have Identity: in sense of eq? Object instances are unique Scheme procedures Local State: gives each object (each instance of a class) the ability to perform differently Each instance procedure has own local environment Classes: Scheme make-<object> procedures. Methods returned in response to messages: Scheme procedures (take method-dependent arguments) Inheritance Rule telling what method to use Conventions on messages & methods 17/9 18/9 3

4 Steps toward our Scheme OOPs: 1. Basic Objects A. messages and methods convention B. self variable to refer to oneself 2. Inheritance A. internal superclass instances, and B. match method directly in object, or get-method from internal instance if needed C. delegation: explicitly use methods from internal objects Today's Example World: People, Professors, Arrogant-profs, and Students 3. Multiple Inheritance 19/9 20/9 1. Method convention ; specifies the person class (cond ((eq? message ) (lambda () fname)) ((eq? message CHANGE-MY-NAME) (lambda (new-name) (set! fname new-name))) ((eq? message ) Alternative case syntax for message match: case is more general than this (see Scheme manual), but our convention for message matching will be: ((<msg-1>) <method-1>) ((<msg-2>) <method-2>)... ((<msg-n>) <method-n>) (else <expr>)))) 21/9 22/9 Method convention with case syntax (() (lambda () fname)) (lambda (new-name) (set! fname new-name))) (() Method convention with case syntax (() (lambda () fname)) p: () body: fname (lambda (new-name) (set! fname new-name))) (() 23/9 24/9 4

5 25/9 Method convention with case syntax (() (lambda () fname)) (lambda (new-name) (set! fname new-name)) ) (() p: () body: fname p: (new-name) body: (set!...) How make and use the object? Making an object instance (define g (make-person george orwell)) Using the object instance (painful way) ((g )) ==>(#[proc p:() body:fname]) ;apply to no args ==> george Two things going on: method lookup (g ) ==> <method> method application (<method>) ==> <result> 26/9 Using the object easier way method lookup: (define (get-method message object) (object message)) Example (define g (make-person george orwell)) (ask g ) (get-method G) (g ) ( (g ) ) "ask" an object to do something - combined method retrieval and application to args. (define (ask object message. args) (let ((method (get-method message object))) (if (method? method) (apply method args) (error "No method for message" message)))) (apply op args) (op arg1 arg2 argn) GE make-person:... g: E3 george orwell p: message body: (case...) E4 message: NAME E5 27/9 p: () body: fname name 28/9 E5 Cleaning up some details of our implementation Dealing with missing methods The need for self -reference Dealing with tags Detection of methods (or missing methods): Use (no-method) to indicate that there is no method (define no-method (let ((tag (list NO-METHOD))) (lambda () tag))) Check if something is a method: (define (method? x) (cond ((procedure? x) #T) ((eq? x (no-method)) #F) (else (error "Object returned non-message" x)))) 29/9 30/9 5

6 Limitation self-reference (ask g ' '(the sky is blue)) the sky is blue => nuf-said (ask g 'CHANGE-NAME ishmael) want g to "" his new name whenever it changes We want a person to call its own method, but... Problem: no access to the "object" from inside itself! Solution: add explicit self argument to all methods Better Method Convention (1) --self (() (lambda (self) fname)) (lambda (self new-name) (set! fname new-name))) (() (lambda (self list-of-stuff) 31/9 32/9 Better Method Convention (2) --ask (define (ask object message. args) (let ((method (get-method message object))) (if (method? method) (apply method object args) (error "No method for message" message)))) (ask g CHANGE-NAME ishmael) ==>(apply #[proc p:self,new-name body:...] <g-object> ishmael ) ==> (ask <g-object> say ) call me ishmael nuf-said Typing objects in an OOPS system We want a method that acts differently depending on object type (ask stud question ap-1 (why does this code work)) this should be obvious to you (ask professor-1 question ap-1 (why does this code work)) Why are you asking me about why does this code work I thought yo u published a paper on that topic This means we need to identify stud as a student object, and professor-1 as a professor object. 33/9 34/9 Adding a type method (() (lambda (self) fname)) (lambda (self new-name) (set! fname new-name) (ask self (list call me fname)))) (() (lambda (self list-of-stuff) ((?) (lambda (self) #t)) 35/9 Adding a type method (define someone (make-person bert sesame)) (ask someone person?) #t (ask someone professor?) ;No method for professor? in bert ;Type D to debug error, Q to return back to REP loop (define (is-a object type-pred) (if (not (procedure? Object)) #f (let ((method (get-method type-pred object))) (if (method? Method) (ask object type-pred) #f))))) 36/9 6

7 Summary Basic objects Self reference Tagging object classes Using environments and procedures to capture and change local state 37/9 7

Oriented Programming Terminology. Using classes and instances to design a system. Example Instance Diagram

Oriented Programming Terminology. Using classes and instances to design a system. Example Instance Diagram Object- Oriented Programming Terminology Class Diagram Instance Diagram Class: specifies the common behavior of entities in scheme, a "maker" procedure Instance: A particular object or entity of a given

More information

Detection of methods (or missing methods): Cleaning up some details of our implementation. Better Method Convention (1) --self

Detection of methods (or missing methods): Cleaning up some details of our implementation. Better Method Convention (1) --self Cleaning up some details of our implementation Dealing with missing methods The need for self -reference Dealing with tags Detection of methods (or missing methods): Use (no-method) to indicate that there

More information

6.001, Fall Semester, 1998 Lecture Notes, October 27 { Object Oriented Programming 2 An environment diagram illustrating +define foo +cons 1 2,, +set-

6.001, Fall Semester, 1998 Lecture Notes, October 27 { Object Oriented Programming 2 An environment diagram illustrating +define foo +cons 1 2,, +set- 1 MASSACHVSETTS INSTITVTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science 6.001 Structure and Interpretation of Computer Programs Fall Semester, 1998 Lecture Notes, October 27 {

More information

Functions & First Class Function Values

Functions & First Class Function Values Functions & First Class Function Values PLAI 1st ed Chapter 4, PLAI 2ed Chapter 5 The concept of a function is itself very close to substitution, and to our with form. Consider the following morph 1 {

More information

6.001 Notes: Section 8.1

6.001 Notes: Section 8.1 6.001 Notes: Section 8.1 Slide 8.1.1 In this lecture we are going to introduce a new data type, specifically to deal with symbols. This may sound a bit odd, but if you step back, you may realize that everything

More information

C311 Lab #3 Representation Independence: Representation Independent Interpreters

C311 Lab #3 Representation Independence: Representation Independent Interpreters C311 Lab #3 Representation Independence: Representation Independent Interpreters Will Byrd webyrd@indiana.edu February 5, 2005 (based on Professor Friedman s lecture on January 29, 2004) 1 Introduction

More information

6.037 Lecture 4. Interpretation. What is an interpreter? Why do we need an interpreter? Stages of an interpreter. Role of each part of the interpreter

6.037 Lecture 4. Interpretation. What is an interpreter? Why do we need an interpreter? Stages of an interpreter. Role of each part of the interpreter 6.037 Lecture 4 Interpretation Interpretation Parts of an interpreter Meta-circular Evaluator (Scheme-in-scheme!) A slight variation: dynamic scoping Original material by Eric Grimson Tweaked by Zev Benjamin,

More information

Extensible Pattern Matching

Extensible Pattern Matching Extensible Pattern Matching Sam Tobin-Hochstadt PLT @ Northeastern University IFL, September 3, 2010 Extensible Pattern Matching in an Extensible Language Sam Tobin-Hochstadt PLT @ Northeastern University

More information

Mid-Term 2 Grades

Mid-Term 2 Grades Mid-Term 2 Grades 100 46 1 HW 9 Homework 9, in untyped class interpreter: Add instanceof Restrict field access to local class Implement overloading (based on argument count) Due date is the same as for

More information

6.184 Lecture 4. Interpretation. Tweaked by Ben Vandiver Compiled by Mike Phillips Original material by Eric Grimson

6.184 Lecture 4. Interpretation. Tweaked by Ben Vandiver Compiled by Mike Phillips Original material by Eric Grimson 6.184 Lecture 4 Interpretation Tweaked by Ben Vandiver Compiled by Mike Phillips Original material by Eric Grimson 1 Interpretation Parts of an interpreter Arithmetic calculator

More information

Intro. Scheme Basics. scm> 5 5. scm>

Intro. Scheme Basics. scm> 5 5. scm> Intro Let s take some time to talk about LISP. It stands for LISt Processing a way of coding using only lists! It sounds pretty radical, and it is. There are lots of cool things to know about LISP; if

More information

Procedural abstraction SICP Data abstractions. The universe of procedures forsqrt. Procedural abstraction example: sqrt

Procedural abstraction SICP Data abstractions. The universe of procedures forsqrt. Procedural abstraction example: sqrt Data abstractions Abstractions and their variations Basic data abstractions Why data abstractions are useful Procedural abstraction Process of procedural abstraction Define formal parameters, capture process

More information

DRAWING ENVIRONMENT DIAGRAMS

DRAWING ENVIRONMENT DIAGRAMS DRAWING ENVIRONMENT DIAGRAMS COMPUTER SCIENCE 61A September 10, 2012 0.1 Background A frame is a location where variable bindings are stored A binding is a connection between a name and a value. The name

More information

Classes and Objects 1

Classes and Objects 1 Classes and Objects 1 Built-in objects You are already familiar with several kinds of objects: strings, lists, sets, tuples, and dictionaries An object has two aspects: Some fields (or instance variables)

More information

(Refer Slide Time: 01:12)

(Refer Slide Time: 01:12) Internet Technology Prof. Indranil Sengupta Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur Lecture No #22 PERL Part II We continue with our discussion on the Perl

More information

Racket: Macros. Advanced Functional Programming. Jean-Noël Monette. November 2013

Racket: Macros. Advanced Functional Programming. Jean-Noël Monette. November 2013 Racket: Macros Advanced Functional Programming Jean-Noël Monette November 2013 1 Today Macros pattern-based macros Hygiene Syntax objects and general macros Examples 2 Macros (According to the Racket Guide...)

More information

bindings (review) Topic 18 Environment Model of Evaluation bindings (review) frames (review) frames (review) frames (review) x: 10 y: #f x: 10

bindings (review) Topic 18 Environment Model of Evaluation bindings (review) frames (review) frames (review) frames (review) x: 10 y: #f x: 10 Topic 18 Environment Model of Evaluation Section 3.2 bindings (review) a binding is an association between a name and a Scheme value names: variable names, procedure names formal parameters of procedures

More information

Scheme in Scheme: The Metacircular Evaluator Eval and Apply

Scheme in Scheme: The Metacircular Evaluator Eval and Apply Scheme in Scheme: The Metacircular Evaluator Eval and Apply CS21b: Structure and Interpretation of Computer Programs Brandeis University Spring Term, 2015 The metacircular evaluator is A rendition of Scheme,

More information

Chapter 7. Inheritance

Chapter 7. Inheritance Chapter 7 Inheritance Introduction to Inheritance Inheritance is one of the main techniques of objectoriented programming (OOP) Using this technique, a very general form of a class is first defined and

More information

An Explicit-Continuation Metacircular Evaluator

An Explicit-Continuation Metacircular Evaluator Computer Science (1)21b (Spring Term, 2018) Structure and Interpretation of Computer Programs An Explicit-Continuation Metacircular Evaluator The vanilla metacircular evaluator gives a lot of information

More information

A brief tour of history

A brief tour of history Introducing Racket λ A brief tour of history We wanted a language that allowed symbolic manipulation Scheme The key to understanding LISP is understanding S-Expressions Racket List of either atoms or

More information

University of Massachusetts Lowell

University of Massachusetts Lowell University of Massachusetts Lowell 91.301: Organization of Programming Languages Fall 2002 Quiz 1 Solutions to Sample Problems 2 91.301 Problem 1 What will Scheme print in response to the following statements?

More information

A Brief Introduction to Scheme (II)

A Brief Introduction to Scheme (II) A Brief Introduction to Scheme (II) Philip W. L. Fong pwlfong@cs.uregina.ca Department of Computer Science University of Regina Regina, Saskatchewan, Canada Lists Scheme II p.1/29 Lists Aggregate data

More information

Mobile Computing Professor Pushpedra Singh Indraprasth Institute of Information Technology Delhi Activity Logging Lecture 16

Mobile Computing Professor Pushpedra Singh Indraprasth Institute of Information Technology Delhi Activity Logging Lecture 16 Mobile Computing Professor Pushpedra Singh Indraprasth Institute of Information Technology Delhi Activity Logging Lecture 16 Hello, last two classes we learned about activity life cycles and the call back

More information

(scheme-1) has lambda but NOT define

(scheme-1) has lambda but NOT define CS61A Lecture 12 2011-0-11 Colleen Lewis (calc) review (scheme-1) has lambda but NOT define Remember calc-apply? STk> (calc-apply '+ '(1 2 )) 6 STk> (calc-apply '* '(2 4 )) 24 STk> (calc-apply '/ '(10

More information

CSc 520 Principles of Programming Languages

CSc 520 Principles of Programming Languages CSc 520 Principles of Programming Languages 9: Scheme Metacircular Interpretation Christian Collberg collberg@cs.arizona.edu Department of Computer Science University of Arizona Copyright c 2005 Christian

More information

Principles of Programming Languages, 2

Principles of Programming Languages, 2 Principles of Programming Languages, 2 Matteo Pradella February 2015 Matteo Pradella Principles of Programming Languages, 2 February 2015 1 / 23 1 Object Oriented Programming (OO) Matteo Pradella Principles

More information

Higher-Order Functions

Higher-Order Functions Higher-Order Functions 1 Why Functions as Values Abstraction is easier with functions as values abstract over add and sub cases filter, map, etc. What are objects? Callbacks? Separate deffun form becomes

More information

Lecture 1 - Introduction (Class Notes)

Lecture 1 - Introduction (Class Notes) Lecture 1 - Introduction (Class Notes) Outline: How does a computer work? Very brief! What is programming? The evolution of programming languages Generations of programming languages Compiled vs. Interpreted

More information

What are the characteristics of Object Oriented programming language?

What are the characteristics of Object Oriented programming language? What are the various elements of OOP? Following are the various elements of OOP:- Class:- A class is a collection of data and the various operations that can be performed on that data. Object- This is

More information

The Eval/Apply Cycle Eval. Evaluation and universal machines. Examining the role of Eval. Eval from perspective of language designer

The Eval/Apply Cycle Eval. Evaluation and universal machines. Examining the role of Eval. Eval from perspective of language designer Evaluation and universal machines What is the role of evaluation in defining a language? How can we use evaluation to design a language? The Eval/Apply Cycle Eval Exp & env Apply Proc & args Eval and Apply

More information

Why do we need an interpreter? SICP Interpretation part 1. Role of each part of the interpreter. 1. Arithmetic calculator.

Why do we need an interpreter? SICP Interpretation part 1. Role of each part of the interpreter. 1. Arithmetic calculator. .00 SICP Interpretation part Parts of an interpreter Arithmetic calculator Names Conditionals and if Store procedures in the environment Environment as explicit parameter Defining new procedures Why do

More information

6.001: Structure and Interpretation of Computer Programs

6.001: Structure and Interpretation of Computer Programs 6.001: Structure and Interpretation of Computer Programs Symbols Quotation Relevant details of the reader Example of using symbols Alists Differentiation Data Types in Lisp/Scheme Conventional Numbers

More information

So far, we have seen two different approaches for using computing to solve problems:

So far, we have seen two different approaches for using computing to solve problems: Chapter 10 Objects By the word operation, we mean any process which alters the mutual relation of two or more things, be this relation of what kind it may. This is the most general definition, and would

More information

CS115 - Module 8 - Binary trees

CS115 - Module 8 - Binary trees Fall 2017 Reminder: if you have not already, ensure you: Read How to Design Programs, Section 14. Binary arithmetic expressions Operators such as +,,, and take two arguments, so we call them binary operators.

More information

CS111: PROGRAMMING LANGUAGE II

CS111: PROGRAMMING LANGUAGE II 1 CS111: PROGRAMMING LANGUAGE II Computer Science Department Lecture 4(b): Subclasses and Superclasses OOP OOP - Inheritance Inheritance represents the is a relationship between data types (e.g. student/person)

More information

Below are example solutions for each of the questions. These are not the only possible answers, but they are the most common ones.

Below are example solutions for each of the questions. These are not the only possible answers, but they are the most common ones. 6.001, Fall Semester, 2002 Quiz II Sample solutions 1 MASSACHVSETTS INSTITVTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science 6.001 Structure and Interpretation of Computer Programs

More information

Turtles All The Way Down

Turtles All The Way Down Turtles All The Way Down Bertrand Russell had just finished giving a public lecture on the nature of the universe. An old woman said Prof. Russell, it is well known that the earth rests on the back of

More information

CS61A Notes Week 6: Scheme1, Data Directed Programming You Are Scheme and don t let anyone tell you otherwise

CS61A Notes Week 6: Scheme1, Data Directed Programming You Are Scheme and don t let anyone tell you otherwise CS61A Notes Week 6: Scheme1, Data Directed Programming You Are Scheme and don t let anyone tell you otherwise If you re not already crazy about Scheme (and I m sure you are), then here s something to get

More information

PROGRAMMING LANGUAGE 2

PROGRAMMING LANGUAGE 2 31/10/2013 Ebtsam Abd elhakam 1 PROGRAMMING LANGUAGE 2 Java lecture (7) Inheritance 31/10/2013 Ebtsam Abd elhakam 2 Inheritance Inheritance is one of the cornerstones of object-oriented programming. It

More information

Administrivia. Simple data types

Administrivia. Simple data types Administrivia Lists, higher order procedures, and symbols 6.037 - Structure and Interpretation of Computer Programs Mike Phillips (mpp) Massachusetts Institute of Technology Project 0 was due today Reminder:

More information

STUDENT LESSON A20 Inheritance, Polymorphism, and Abstract Classes

STUDENT LESSON A20 Inheritance, Polymorphism, and Abstract Classes STUDENT LESSON A20 Inheritance, Polymorphism, and Abstract Classes Java Curriculum for AP Computer Science, Student Lesson A20 1 STUDENT LESSON A20 Inheritance, Polymorphism, and Abstract Classes INTRODUCTION:

More information

(Refer Slide Time: 01:40)

(Refer Slide Time: 01:40) Internet Technology Prof. Indranil Sengupta Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur Lecture No #25 Javascript Part I Today will be talking about a language

More information

St. Edmund Preparatory High School Brooklyn, NY

St. Edmund Preparatory High School Brooklyn, NY AP Computer Science Mr. A. Pinnavaia Summer Assignment St. Edmund Preparatory High School Name: I know it has been about 7 months since you last thought about programming. It s ok. I wouldn t want to think

More information

Sample Final Exam Questions

Sample Final Exam Questions 91.301, Organization of Programming Languages Fall 2015, Prof. Yanco Sample Final Exam Questions Note that the final is a 3 hour exam and will have more questions than this handout. The final exam will

More information

c122mar413.notebook March 06, 2013

c122mar413.notebook March 06, 2013 These are the programs I am going to cover today. 1 2 Javascript is embedded in HTML. The document.write() will write the literal Hello World! to the web page document. Then the alert() puts out a pop

More information

User-defined Functions. Conditional Expressions in Scheme

User-defined Functions. Conditional Expressions in Scheme User-defined Functions The list (lambda (args (body s to a function with (args as its argument list and (body as the function body. No quotes are needed for (args or (body. (lambda (x (+ x 1 s to the increment

More information

CS61A Discussion Notes: Week 11: The Metacircular Evaluator By Greg Krimer, with slight modifications by Phoebus Chen (using notes from Todd Segal)

CS61A Discussion Notes: Week 11: The Metacircular Evaluator By Greg Krimer, with slight modifications by Phoebus Chen (using notes from Todd Segal) CS61A Discussion Notes: Week 11: The Metacircular Evaluator By Greg Krimer, with slight modifications by Phoebus Chen (using notes from Todd Segal) What is the Metacircular Evaluator? It is the best part

More information

MITOCW watch?v=flgjisf3l78

MITOCW watch?v=flgjisf3l78 MITOCW watch?v=flgjisf3l78 The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality educational resources for free. To

More information

Principles of Programming Languages

Principles of Programming Languages Principles of Programming Languages www.cs.bgu.ac.il/~ppl172 Lesson 6 - Defining a Programming Language Bottom Up Collaboration and Management - Elements of Programming Dana Fisman 1 What we accomplished

More information

MEMORIZE the Java App pick: public class { public static void main(string[] a) {

MEMORIZE the Java App pick: public class { public static void main(string[] a) { MEMORIZE the Java App pick: public class { public static void main(string[] a) { a name (you make up) for your app, say MyApp Save it as a file named MyApp.java } Directions, written in good Java syntax,

More information

CS 360 Programming Languages Day 14 Closure Idioms

CS 360 Programming Languages Day 14 Closure Idioms CS 360 Programming Languages Day 14 Closure Idioms Why lexical scope rocks Last time: currying Today: implementing callbacks and object-oriented programming. Review: mutable state Racket's variables are

More information

Object Oriented Programming (OOP)

Object Oriented Programming (OOP) Object Oriented Programming (OOP) o New programming paradigm o Actions Objects o Objects Actions o Object-oriented = Objects + Classes + Inheritance Imperative programming o OOP (Object-Oriented Programming)

More information

Inheritance. OOP: Inheritance 1

Inheritance. OOP: Inheritance 1 Inheritance Reuse Extension and intension Class specialization and class extension Inheritance The protected keyword revisited Inheritance and methods Method redefinition An widely used inheritance example

More information

1 Classes. 2 Exceptions. 3 Using Other Code. 4 Problems. Sandeep Sadanandan (TU, Munich) Python For Fine Programmers May 16, / 19

1 Classes. 2 Exceptions. 3 Using Other Code. 4 Problems. Sandeep Sadanandan (TU, Munich) Python For Fine Programmers May 16, / 19 1 Classes 2 Exceptions 3 Using Other Code 4 Problems Sandeep Sadanandan (TU, Munich) Python For Fine Programmers May 16, 2009 1 / 19 Start with an Example Python is object oriented Everything is an object

More information

Inheritance and Polymorphism

Inheritance and Polymorphism Object Oriented Programming Designed and Presented by Dr. Ayman Elshenawy Elsefy Dept. of Systems & Computer Eng.. Al-Azhar University Website: eaymanelshenawy.wordpress.com Email : eaymanelshenawy@azhar.edu.eg

More information

CS115 - Module 10 - General Trees

CS115 - Module 10 - General Trees Fall 2017 Reminder: if you have not already, ensure you: Read How to Design Programs, Sections 15 and 16. Arithmetic Expressions Recall with binary trees we could represent an expression containing binary

More information

regsim.scm ~/umb/cs450/ch5.base/ 1 11/11/13

regsim.scm ~/umb/cs450/ch5.base/ 1 11/11/13 1 File: regsim.scm Register machine simulator from section 5.2 of STRUCTURE AND INTERPRETATION OF COMPUTER PROGRAMS This file can be loaded into Scheme as a whole. Then you can define and simulate machines

More information

Inheritance and Interfaces

Inheritance and Interfaces Inheritance and Interfaces Object Orientated Programming in Java Benjamin Kenwright Outline Review What is Inheritance? Why we need Inheritance? Syntax, Formatting,.. What is an Interface? Today s Practical

More information

An Explicit Continuation Evaluator for Scheme

An Explicit Continuation Evaluator for Scheme Massachusetts Institute of Technology Course Notes 2 6.844, Spring 05: Computability Theory of and with Scheme February 17 Prof. Albert R. Meyer revised March 3, 2005, 1265 minutes An Explicit Continuation

More information

1.00 Lecture 13. Inheritance

1.00 Lecture 13. Inheritance 1.00 Lecture 13 Inheritance Reading for next time: Big Java: sections 10.5-10.6 Inheritance Inheritance allows you to write new classes based on existing (super or base) classes Inherit super class methods

More information

CS61A Midterm 2 Review (v1.1)

CS61A Midterm 2 Review (v1.1) Spring 2006 1 CS61A Midterm 2 Review (v1.1) Basic Info Your login: Your section number: Your TA s name: Midterm 2 is going to be held on Tuesday 7-9p, at 1 Pimentel. What will Scheme print? What will the

More information

FP Foundations, Scheme

FP Foundations, Scheme FP Foundations, Scheme In Text: Chapter 15 1 Functional Programming -- Prelude We have been discussing imperative languages C/C++, Java, Fortran, Pascal etc. are imperative languages Imperative languages

More information

Programming Data Structures and Algorithms Prof. Shankar Balachandran Department of Computer Science Indian Institute of Technology, Madras

Programming Data Structures and Algorithms Prof. Shankar Balachandran Department of Computer Science Indian Institute of Technology, Madras Programming Data Structures and Algorithms Prof. Shankar Balachandran Department of Computer Science Indian Institute of Technology, Madras Module 12B Lecture - 41 Brief introduction to C++ Hello, welcome

More information

Module 10A Lecture - 20 What is a function? Why use functions Example: power (base, n)

Module 10A Lecture - 20 What is a function? Why use functions Example: power (base, n) Programming, Data Structures and Algorithms Prof. Shankar Balachandran Department of Computer Science and Engineering Indian Institute of Technology, Madras Module 10A Lecture - 20 What is a function?

More information

IST311. Advanced Issues in OOP: Inheritance and Polymorphism

IST311. Advanced Issues in OOP: Inheritance and Polymorphism IST311 Advanced Issues in OOP: Inheritance and Polymorphism IST311/602 Cleveland State University Prof. Victor Matos Adapted from: Introduction to Java Programming: Comprehensive Version, Eighth Edition

More information

Problem 1. Remove consecutive duplicates (6 points, 11 mintues)

Problem 1. Remove consecutive duplicates (6 points, 11 mintues) Problem 1. Remove consecutive duplicates (6 points, 11 mintues) CS3 Fall 04 Midterm 2 Consider a function remove-conseq-dups that takes a sentence and returns a sentence in which any occurrences of a word

More information

Time : 3 hours. Full Marks : 75. Own words as far as practicable. The questions are of equal value. Answer any five questions.

Time : 3 hours. Full Marks : 75. Own words as far as practicable. The questions are of equal value. Answer any five questions. XEV (H-3) BCA (6) 2 0 1 0 Time : 3 hours Full Marks : 75 Candidates are required to give their answers in their Own words as far as practicable. The questions are of equal value. Answer any five questions.

More information

Arrays Classes & Methods, Inheritance

Arrays Classes & Methods, Inheritance Course Name: Advanced Java Lecture 4 Topics to be covered Arrays Classes & Methods, Inheritance INTRODUCTION TO ARRAYS The following variable declarations each allocate enough storage to hold one value

More information

Scheme Quick Reference

Scheme Quick Reference Scheme Quick Reference COSC 18 Fall 2003 This document is a quick reference guide to common features of the Scheme language. It is not intended to be a complete language reference, but it gives terse summaries

More information

Unit E Step-by-Step: Programming with Python

Unit E Step-by-Step: Programming with Python Unit E Step-by-Step: Programming with Python Computer Concepts 2016 ENHANCED EDITION 1 Unit Contents Section A: Hello World! Python Style Section B: The Wacky Word Game Section C: Build Your Own Calculator

More information

Exceptions and Continuations. Lecture #19: More Special Effects Exceptions and OOP. Approach II: Non-Standard Return. Approach I: Do Nothing

Exceptions and Continuations. Lecture #19: More Special Effects Exceptions and OOP. Approach II: Non-Standard Return. Approach I: Do Nothing Lecture #19: More Special Effects Exceptions and OOP Test #2 in two weeks (14 April), in class. Autograder runs Sunday night sometime. Exceptions and Continuations Exception-handling in programming languages

More information

The Interpreter + Calling Functions. Scheme was designed by people. The Interpreter + Calling Functions. Clickers. Parentheses Matter We asked scheme

The Interpreter + Calling Functions. Scheme was designed by people. The Interpreter + Calling Functions. Clickers. Parentheses Matter We asked scheme The Interpreter + Calling Functions 3 3 Why not 3 + 4 (+ 3 4) 7 (+ 3 4 5 6) 8 Here we were calling the function + The Interpreter + Calling Functions 4 (+ 3 (sqrt 6)) 7 (+ 3 4 5 6) 8 (sqrt 6) Not all procedures

More information

Principles of Programming Languages Topic: Functional Programming Professor L. Thorne McCarty Spring 2003

Principles of Programming Languages Topic: Functional Programming Professor L. Thorne McCarty Spring 2003 Principles of Programming Languages Topic: Functional Programming Professor L. Thorne McCarty Spring 2003 CS 314, LS, LTM: Functional Programming 1 Scheme A program is an expression to be evaluated (in

More information

BASIC CONCEPT OF OOP

BASIC CONCEPT OF OOP Chapter-6 BASIC CONCEPT OF OOP Introduction: Object oriented programmingg is the principle of design and development of programs using modular approach. Object oriented programmingg approach provides advantages

More information

CS61A Notes Disc 11: Streams Streaming Along

CS61A Notes Disc 11: Streams Streaming Along CS61A Notes Disc 11: Streams Streaming Along syntax in lecture and in the book, so I will not dwell on that. Suffice it to say, streams is one of the most mysterious topics in CS61A, trust than whatever

More information

Java: introduction to object-oriented features

Java: introduction to object-oriented features Chair of Software Engineering Carlo A. Furia, Marco Piccioni, Bertrand Meyer Java: introduction to object-oriented features Chair of Software Engineering Carlo A. Furia, Marco Piccioni, Bertrand Meyer

More information

CS111: PROGRAMMING LANGUAGE II

CS111: PROGRAMMING LANGUAGE II CS111: PROGRAMMING LANGUAGE II Computer Science Department Lecture 4&5: Inheritance Lecture Contents What is Inheritance? Super-class & sub class The object class Using extends keyword @override keyword

More information

John McCarthy IBM 704

John McCarthy IBM 704 How this course works SI 334: Principles of Programming Languages Lecture 2: Lisp Instructor: an arowy Lots of new languages Not enough class time to cover all features (e.g., Java over the course of 34-36:

More information

Classes and Objects in Ruby

Classes and Objects in Ruby Computer Science and Engineering IIT Bombay kuhoo@cse.iitb.ac.in Nov 29, 2004 Classes and Objects Rubby Object A set of flags, instance variables and an associated class Rubby Class An object of class

More information

3F6 - Software Engineering and Design. Handout 5 Object Oriented Design With Markup. Ed Rosten

3F6 - Software Engineering and Design. Handout 5 Object Oriented Design With Markup. Ed Rosten 3F6 - Software Engineering and Design Handout 5 Object Oriented Design With Markup Ed Rosten Contents 1. Key Ideas and Guiding Principles 2. Example 1: An Expression Parser 3. Example 2: War Game Simulator

More information

6.001 Notes: Section 15.1

6.001 Notes: Section 15.1 6.001 Notes: Section 15.1 Slide 15.1.1 Our goal over the next few lectures is to build an interpreter, which in a very basic sense is the ultimate in programming, since doing so will allow us to define

More information

Introduction to Typed Racket. The plan: Racket Crash Course Typed Racket and PL Racket Differences with the text Some PL Racket Examples

Introduction to Typed Racket. The plan: Racket Crash Course Typed Racket and PL Racket Differences with the text Some PL Racket Examples Introduction to Typed Racket The plan: Racket Crash Course Typed Racket and PL Racket Differences with the text Some PL Racket Examples Getting started Find a machine with DrRacket installed (e.g. the

More information

Spring % of course grade

Spring % of course grade Name SOLUTION Final Score 10 ID Extra Credit Section (circle one): MW 8:30-9:50 TTh 9:30-10:50 TTh 11:00-12:20 10% of course grade 2 1. Anonymous Inner Classes In lecture we walked through the following:

More information

CS61B Lecture #12. Today: Various odds and ends in support of abstraction.

CS61B Lecture #12. Today: Various odds and ends in support of abstraction. CS61B Lecture #12 Today: Various odds and ends in support of abstraction. Readings: At this point, we have looked at Chapters 1 9 of Head First Java. Today s lecture is about Chapters 9 and 11. For Friday,

More information

Implementing Continuations

Implementing Continuations Implementing Continuations sk and dbtucker 2002-10-18 1 Changing Representations Now that we ve seen how continuations work, let s study how to implement them in an interpreter. For this lecture onward,

More information

Binghamton University. CS-211 Fall Syntax. What the Compiler needs to understand your program

Binghamton University. CS-211 Fall Syntax. What the Compiler needs to understand your program Syntax What the Compiler needs to understand your program 1 Pre-Processing Any line that starts with # is a pre-processor directive Pre-processor consumes that entire line Possibly replacing it with other

More information

Deferred operations. Continuations Structure and Interpretation of Computer Programs. Tail recursion in action.

Deferred operations. Continuations Structure and Interpretation of Computer Programs. Tail recursion in action. Deferred operations Continuations 6.037 - Structure and Interpretation of Computer Programs Mike Phillips (define the-cons (cons 1 #f)) (set-cdr! the-cons the-cons) (define (run-in-circles l) (+

More information

COP4020 Programming Assignment 1 - Spring 2011

COP4020 Programming Assignment 1 - Spring 2011 COP4020 Programming Assignment 1 - Spring 2011 In this programming assignment we design and implement a small imperative programming language Micro-PL. To execute Mirco-PL code we translate the code to

More information

CSE : Python Programming

CSE : Python Programming CSE 399-004: Python Programming Lecture 2: Data, Classes, and Modules January 22, 2007 http://www.seas.upenn.edu/~cse39904/ Administrative things Teaching assistant Brian Summa (bsumma @ seas.upenn.edu)

More information

Functional abstraction. What is abstraction? Eating apples. Readings: HtDP, sections Language level: Intermediate Student With Lambda

Functional abstraction. What is abstraction? Eating apples. Readings: HtDP, sections Language level: Intermediate Student With Lambda Functional abstraction Readings: HtDP, sections 19-24. Language level: Intermediate Student With Lambda different order used in lecture section 24 material introduced much earlier sections 22, 23 not covered

More information

Functional abstraction

Functional abstraction Functional abstraction Readings: HtDP, sections 19-24. Language level: Intermediate Student With Lambda different order used in lecture section 24 material introduced much earlier sections 22, 23 not covered

More information

Normal Order (Lazy) Evaluation SICP. Applicative Order vs. Normal (Lazy) Order. Applicative vs. Normal? How can we implement lazy evaluation?

Normal Order (Lazy) Evaluation SICP. Applicative Order vs. Normal (Lazy) Order. Applicative vs. Normal? How can we implement lazy evaluation? Normal Order (Lazy) Evaluation Alternative models for computation: Normal (Lazy) Order Evaluation Memoization Streams Applicative Order: evaluate all arguments, then apply operator Normal Order: pass unevaluated

More information

AP CS Unit 6: Inheritance Notes

AP CS Unit 6: Inheritance Notes AP CS Unit 6: Inheritance Notes Inheritance is an important feature of object-oriented languages. It allows the designer to create a new class based on another class. The new class inherits everything

More information

ob-ject: to feel distaste for something Webster's Dictionary

ob-ject: to feel distaste for something Webster's Dictionary Objects ob-ject: to feel distaste for something Webster's Dictionary Prof. Clarkson Fall 2017 Today s music: Kung Fu Fighting by CeeLo Green Review Currently in 3110: Advanced topics Futures Monads Today:

More information

Lecture 13: more class, C++ memory management

Lecture 13: more class, C++ memory management CIS 330: / / / / (_) / / / / _/_/ / / / / / \/ / /_/ / `/ \/ / / / _/_// / / / / /_ / /_/ / / / / /> < / /_/ / / / / /_/ / / / /_/ / / / / / \ /_/ /_/_/_/ _ \,_/_/ /_/\,_/ \ /_/ \ //_/ /_/ Lecture 13:

More information

6.001 SICP. Types. Types compound data. Types simple data. Types. Types procedures

6.001 SICP. Types. Types compound data. Types simple data. Types. Types procedures Today s topics Types of objects and procedures Procedural abstractions Capturing patterns across procedures Higher Order Procedures Types (+ 5 1) ==> 15 (+ "hi 5) ;The object "hi", passed as the first

More information

Lesson 10A OOP Fundamentals. By John B. Owen All rights reserved 2011, revised 2014

Lesson 10A OOP Fundamentals. By John B. Owen All rights reserved 2011, revised 2014 Lesson 10A OOP Fundamentals By John B. Owen All rights reserved 2011, revised 2014 Table of Contents Objectives Definition Pointers vs containers Object vs primitives Constructors Methods Object class

More information

Fall Semester, The Metacircular Evaluator. Today we shift perspective from that of a user of computer langugaes to that of a designer of

Fall Semester, The Metacircular Evaluator. Today we shift perspective from that of a user of computer langugaes to that of a designer of 1 MASSACHVSETTS INSTITVTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science 6.001 Structure and Interpretation of Computer Programs Fall Semester, 1996 Lecture Notes { October 31,

More information

State. Substitution relies on an identifer having a fxed value

State. Substitution relies on an identifer having a fxed value Part 1 1 State Substitution relies on an identifer having a fxed value {let {[x 5]} {let {[f {lambda {y} {+ x y}}]}... {f 1}}} = {let {[f {lambda {y} {+ 5 y}}]}... {f 1}} because x cannot change In Plait,

More information