Meet the Macro. a quick introduction to Lisp macros. Patrick Stein / TC Lisp Users Group /

Size: px
Start display at page:

Download "Meet the Macro. a quick introduction to Lisp macros. Patrick Stein / TC Lisp Users Group /"

Transcription

1 Meet the Macro a quick introduction to Lisp macros Patrick Stein / TC Lisp Users Group /

2 Attack Plan Some other things called macros First look at Lisp macros More advanced macros Uh-oh, my macro is messing up other things Toy surprise in the box Where to learn more 2

3 Called Macro (C/LaTeX/make) #define abs(x) \ ((x) < 0? -(x) : (x)) cpp macros can do string substitutions \frac{dx}{ \sqrt[3]{1 + x^2} } LaTeX macros can be LaTeX wrappers around other LaTeX SRCS := $(wildcard *.c) GNU make macros are a mini-language 3

4 Called Macro (ant,nroff,m4) Ant macros can do string and element substitutions nroff macros can barely stringsubstitute m4 can cheesily subst varargs <macrodef name= say-do > <attribute name= say default= (silent) /> <element name= do /> <sequential> :::</echo> <do /> </sequential> </macrodef>.nr LL 5i define( `quotify, ` $@ ) 4

5 First Lisp Macros (replacement) #define assert_good_x() \ assert( x!= NULL ) (defmacro assert_good_x () '(assert x)) (defun car+cdr (x) (assert_good_x) (cons x x)) (defun car+cdr (x) (assert x) (cons x x)) A very weak cpp macro An equally weak Lisp version How you d use it How it will look expanded. 5

6 First Lisp Macros (arg subst.) Bad cpp macro for reference Equivalent (i.e. equally bad) version in Lisp How you d use it #define abs(x) \ (((x) < 0)? -(x) : (x)) (defmacro abs (x) `(if (minusp,x) (-,x),x)) (defun taxi-dist (x y z) (+ (abs x) (abs y) (abs z))) My taxis go vertically! (abs (realpart (ack 3 z))) 6

7 First Lisp Macros (lists) (defmacro awhen (cond &body body) `(let ((it,cond)) (when (defun a-then-b? (a b list) (awhen (member a list) (write it) (member b (rest it)))) A macro that plops in the members instead of the list itself How you might use it 7

8 More Advanced comp.) A macro that uses more Lisp at compile time How you d use it What it would be expanded to (defun absify (arg) `(abs,arg)) (defmacro taxi-dist (&rest args) `(+,@(mapcar #'absify args))) (taxi-dist a b c) (+ (abs a) (abs b) (abs c)) 8

9 More Advanced (recursive) ;; recursive version of same macro (defmacro taxi-dist (&rest args) (case (length args) (0 '0) (1 `(abs,(first args))) (t `(+ (abs,(first args)) args)))))) ;; some examples of how it expands (taxi-dist) => 0 (taxi-dist a) => (abs a) (taxi-dist a b) => (+ (abs a) (taxi-dist b)) (taxi-dist a b c) => (+ (abs a) (taxi-dist b c)) 9

10 More Advanced (code-walking) CL-WHO macro that walks through the expression tree It turns some parts into output code (with-html-output (*s*) (:body (dotimes (j 5) (htm (:p Foo ) (:p Bar ))))) (write-string "<body>" *s*) (dotimes (j 5) (write-string "<p>foo</p>" *s*) (write-string "<p>bar</p>" *s*)) (write-string "</body>" *s*) Only approximate expansion 10

11 More Advanced (more walking) Turn infix notation into prefix notation: (!! (let ((a 42)) a - 2 * 2 * 10)) Make translators that turn Lisp into other langs Make embedded domain-specific languages see any number of HTML, SQL, and XML input or output DSLs 11

12 Uh-Oh (double eval) (defmacro abs (x) `(if (minusp,x) (-,x),x)) (abs (incf x)) (abs (realpart (ack 3 z))) Problem: if x is an expression, it s evaluated twice Side-effects x2 Runtime x2 #define abs(x) \ ((x) < 0? -(x) : (x)) abs(++x); abs(realpart(ack(3,z))); cpp version has the same issue 12

13 Uh-Oh (variable capture) In Lisp, we can do better We have to take (defmacro abs (x) `(let ((v,x)) (if (minusp v) (- v) v))) care though This macro breaks if body uses a v from outside this scope. (defmacro when-car=cdr (x &body body) `(let ((v,x)) (when (= (car v) (cdr v)),@body))) 13

14 Uh-Oh (stopping variable capture) (defmacro when-car=cdr (x &body body) (let ((v (gensym))) `(let ((,v,x)) (when (= (car,v) (when-car=cdr p (write p)) (let ((#:G772 p)) (when (= (car #:G772) (cdr #:G772)) (write p))) Gensym bails us out by generating a symbol that won t exist anywhere else Here is a use Here is one expansion 14

15 Uh-Oh (macros for macro-writing) Up to your ears in gensyms? Here s a macro for macro writers with-gensyms makes syms for a and b, then we bind them to this macro s args (defun symify (s) `(,s (gensym))) (defmacro with-gensyms (syms &body body) `(let,(mapcar #'symify syms),@body)) (defmacro crow-dist (x y) (with-gensyms (a b) `(let ((,a,x)(,b,y)) (sqrt (+ (*,a,a) (*,b,b)))))) 15

16 Toy Surprise (destructuring) (defmacro det+? ((x1 y1) (x2 y2) &body body) `(when (plusp (- (*,x1,y2) (det+? (a b) (c d) (do-something a b c d)) You can put extra structure into the way your arguments are laid out to make your syntax more natural for the problem 16

17 Toy Surprise (deeper destruct.) ;; macro used internally in ironclad (defmacro with-words (((&rest word-vars) array initial-offset &key (size 4) (big-endian t)) &body body)...) (with-words ((c d a b) ciphertxt ciphertxt-start :big-endian nil) (setf c (logxor c (aref round-keys 4)) d (logxor d (aref round-keys 5)) a (logxor a (aref round-keys 6)) b (logxor b (aref round-keys 7)))...) 17

18 Where to Learn More Slava Akmechet s Blog Post About Macros Chapters 7 & 8 of Practical Common Lisp by Peter Seibel Chapters 7-11 of On Lisp by Paul Graham Sections and of the HyperSpec Practice, Practice, Practice 18

19 (sb-ext:quit) the end Patrick Stein / TC Lisp Users Group /

20 Uh-Oh Redux (infinite recursion) This would terminate as a function, but not as a macro This will terminate (defmacro argc (&rest args) `(if,(null args) 0 (1+ (argc,@(rest args))))) (defmacro argc (&rest args) (if args `(1+ (argc,@(rest args))) '0)) X

21 Uh-Oh Redux (other messes) (defmacro save (x) `(push vars,x)) (defun foo (vars) (save *random-state*)...) (defmacro both+? (a b) `(and (plusp,b) (plusp,a)) (both+? (incf x) (incf y)) (defmacro emph (x) (nconc x (list ':!!))) (defun foo () (emph (list :b))) Reference global that is later local Non-standard eval order Side-effects considered harmful X

22 Appendix (Ackermann function) ;; positive-integer version of Ackermann ;; function... can be extended to cover ;; n being a complex number if m is 1, 2, or 3. (defun ack (m n) (cond ((zerop m) (1+ n)) ((zerop n) (ack (1- m) 1)) (t (ack (1- m) (ack m (1- n)))))) ;; (ack 3 12) took me seconds ;; (ack 3 13) blew out my stack after 50 seconds X

INF4820. Common Lisp: Closures and Macros

INF4820. Common Lisp: Closures and Macros INF4820 Common Lisp: Closures and Macros Erik Velldal University of Oslo Oct. 19, 2010 Erik Velldal INF4820 1 / 22 Topics for Today More Common Lisp A quick reminder: Scope, binding and shadowing Closures

More information

Common LISP Tutorial 1 (Basic)

Common LISP Tutorial 1 (Basic) Common LISP Tutorial 1 (Basic) CLISP Download https://sourceforge.net/projects/clisp/ IPPL Course Materials (UST sir only) Download https://silp.iiita.ac.in/wordpress/?page_id=494 Introduction Lisp (1958)

More information

FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 4. LISP: PROMĚNNÉ, DALŠÍ VLASTNOSTI FUNKCÍ, BLOKY, MAPOVACÍ FUNKCIONÁLY, ITERAČNÍ CYKLY,

FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 4. LISP: PROMĚNNÉ, DALŠÍ VLASTNOSTI FUNKCÍ, BLOKY, MAPOVACÍ FUNKCIONÁLY, ITERAČNÍ CYKLY, FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 4. LISP: PROMĚNNÉ, DALŠÍ VLASTNOSTI FUNKCÍ, BLOKY, MAPOVACÍ FUNKCIONÁLY, ITERAČNÍ CYKLY, 2011 Jan Janoušek MI-FLP Evropský sociální fond Praha & EU: Investujeme do vaší

More information

Symbolic Programming. Dr. Zoran Duric () Symbolic Programming 1/ 89 August 28, / 89

Symbolic Programming. Dr. Zoran Duric () Symbolic Programming 1/ 89 August 28, / 89 Symbolic Programming Symbols: +, -, 1, 2 etc. Symbolic expressions: (+ 1 2), (+ (* 3 4) 2) Symbolic programs are programs that manipulate symbolic expressions. Symbolic manipulation: you do it all the

More information

Department of Computer and information Science Norwegian University of Science and Technology

Department of Computer and information Science Norwegian University of Science and Technology Department of Computer and information Science Norwegian University of Science and Technology http://www.idi.ntnu.no/ A Crash Course in LISP MNFIT272 2002 Anders Kofod-Petersen anderpe@idi.ntnu.no Introduction

More information

Lambda Calculus and Lambda notation in Lisp II. Based on Prof. Gotshalks notes on Lambda Calculus and Chapter 9 in Wilensky.

Lambda Calculus and Lambda notation in Lisp II. Based on Prof. Gotshalks notes on Lambda Calculus and Chapter 9 in Wilensky. λ Calculus Basis Lambda Calculus and Lambda notation in Lisp II Based on Prof. Gotshalks notes on Lambda Calculus and Chapter 9 in Wilensky Mathematical theory for anonymous functions» functions that have

More information

LISP. Everything in a computer is a string of binary digits, ones and zeros, which everyone calls bits.

LISP. Everything in a computer is a string of binary digits, ones and zeros, which everyone calls bits. LISP Everything in a computer is a string of binary digits, ones and zeros, which everyone calls bits. From one perspective, sequences of bits can be interpreted as a code for ordinary decimal digits,

More information

Common Lisp. Blake McBride

Common Lisp. Blake McBride Contents Common Lisp Blake McBride (blake@mcbride.name) 1 Data Types 2 2 Numeric Hierarchy 3 3 Comments 3 4 List Operations 4 5 Evaluation and Quotes 5 6 String Operations 5 7 Predicates 6 8 Math Predicates

More information

Imperative, OO and Functional Languages A C program is

Imperative, OO and Functional Languages A C program is Imperative, OO and Functional Languages A C program is a web of assignment statements, interconnected by control constructs which describe the time sequence in which they are to be executed. In Java programming,

More information

Announcement. Overview. LISP: A Quick Overview. Outline of Writing and Running Lisp.

Announcement. Overview. LISP: A Quick Overview. Outline of Writing and Running Lisp. Overview Announcement Announcement Lisp Basics CMUCL to be available on sun.cs. You may use GNU Common List (GCL http://www.gnu.org/software/gcl/ which is available on most Linux platforms. There is also

More information

Lisp Basic Example Test Questions

Lisp Basic Example Test Questions 2009 November 30 Lisp Basic Example Test Questions 1. Assume the following forms have been typed into the interpreter and evaluated in the given sequence. ( defun a ( y ) ( reverse y ) ) ( setq a (1 2

More information

Recursion & Iteration

Recursion & Iteration Recursion & Iteration York University Department of Computer Science and Engineering 1 Overview Recursion Examples Iteration Examples Iteration vs. Recursion Example [ref.: Chap 5,6 Wilensky] 2 Recursion

More information

FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 5. LISP: MAKRA, DATOVÁ STRUKTURA ZÁZNAM

FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 5. LISP: MAKRA, DATOVÁ STRUKTURA ZÁZNAM FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 5. LISP: MAKRA, DATOVÁ STRUKTURA ZÁZNAM 2011 Jan Janoušek MI-FLP Evropský sociální fond Praha & EU: Investujeme do vaší budoucnosti MACROS Introduction to macro system

More information

Associative Database Managment WIlensky Chapter 22

Associative Database Managment WIlensky Chapter 22 Associative Database Managment WIlensky Chapter 22 DB-1 Associative Database An associative database is a collection of facts retrievable by their contents» Is a poodle a dog? Which people does Alice manage?»

More information

Associative Database Managment

Associative Database Managment Associative Database Managment WIlensky Chapter 22 DB-1 Associative Database An associative database is a collection of facts retrievable by their contents» Is a poodle a dog? Which people does Alice manage?»

More information

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. More Common Lisp

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. More Common Lisp INF4820: Algorithms for Artificial Intelligence and Natural Language Processing More Common Lisp Stephan Oepen & Murhaf Fares Language Technology Group (LTG) September 6, 2017 Agenda 2 Previously Common

More information

Lecture Notes on Lisp A Brief Introduction

Lecture Notes on Lisp A Brief Introduction Why Lisp? Lecture Notes on Lisp A Brief Introduction Because it s the most widely used AI programming language Because Prof Peng likes using it Because it s good for writing production software (Graham

More information

a little more on macros sort of like functions, but..

a little more on macros sort of like functions, but.. a little more on macros 1 sort of like functions, but.. one of the most interesting but tricky aspects of Lisp. unlike functions, macros don't evaluate their arguments; they compute on unevaluated expressions

More information

FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 3. LISP: ZÁKLADNÍ FUNKCE, POUŽÍVÁNÍ REKURZE,

FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 3. LISP: ZÁKLADNÍ FUNKCE, POUŽÍVÁNÍ REKURZE, FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 3. LISP: ZÁKLADNÍ FUNKCE, POUŽÍVÁNÍ REKURZE, 2011 Jan Janoušek MI-FLP Evropský sociální fond Praha & EU: Investujeme do vaší budoucnosti Comments in Lisp ; comments

More information

Functional Programming with Common Lisp

Functional Programming with Common Lisp Functional Programming with Common Lisp Kamen Tomov ktomov@hotmail.com July 03, 2015 Table of Contents What is This About? Functional Programming Specifics Is Lisp a Functional Language? Lisp Says Hi Functional

More information

Artificial Intelligence Programming

Artificial Intelligence Programming Artificial Intelligence Programming Rob St. Amant Department of Computer Science North Carolina State University Lisp basics NC State University 2 / 99 Why Lisp? Some recent Lisp success stories include

More information

FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 2. ÚVOD DO LISPU: ATOMY, SEZNAMY, FUNKCE,

FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 2. ÚVOD DO LISPU: ATOMY, SEZNAMY, FUNKCE, FUNKCIONÁLNÍ A LOGICKÉ PROGRAMOVÁNÍ 2. ÚVOD DO LISPU: ATOMY, SEZNAMY, FUNKCE, 2011 Jan Janoušek MI-FLP Evropský sociální fond Praha & EU: Investujeme do vaší budoucnosti L I S P - Introduction L I S P

More information

Chapter 1. Fundamentals of Higher Order Programming

Chapter 1. Fundamentals of Higher Order Programming Chapter 1 Fundamentals of Higher Order Programming 1 The Elements of Programming Any powerful language features: so does Scheme primitive data procedures combinations abstraction We will see that Scheme

More information

CS 480. Lisp J. Kosecka George Mason University. Lisp Slides

CS 480. Lisp J. Kosecka George Mason University. Lisp Slides CS 480 Lisp J. Kosecka George Mason University Lisp Slides Symbolic Programming Symbols: +, -, 1, 2 etc. Symbolic expressions: (+ 1 2), (+ (* 3 4) 2) Symbolic programs are programs that manipulate symbolic

More information

Homework #2. Source code with description. Tzewen Wang ECE578 Winter 2005

Homework #2. Source code with description. Tzewen Wang ECE578 Winter 2005 Tzewen Wang ECE578 Winter 2005 Source code with description Homework #2 Homework 2 Tzewen Wang ECE578 Winter 2005 In addition to the symbols for obstacle and corridor in a labyrinth, five more symbols

More information

A Brief Introduction to Common Lisp

A Brief Introduction to Common Lisp A Brief Introduction to Common Lisp David Gu Schloer Consulting Group david_guru@gty.org.in A Brief History Originally specified in 1958, Lisp is the second-oldest highlevel programming language in widespread

More information

Modern Programming Languages. Lecture LISP Programming Language An Introduction

Modern Programming Languages. Lecture LISP Programming Language An Introduction Modern Programming Languages Lecture 18-21 LISP Programming Language An Introduction 72 Functional Programming Paradigm and LISP Functional programming is a style of programming that emphasizes the evaluation

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

Debugging in LISP. trace causes a trace to be printed for a function when it is called

Debugging in LISP. trace causes a trace to be printed for a function when it is called trace causes a trace to be printed for a function when it is called ;;; a function that works like reverse (defun rev (list) (cons (first (last list)) (rev (butlast list)))) USER: (trace rev) ; note trace

More information

(defmacro while (condition &body body) `(iterate loop () (if,condition (loop)))))

(defmacro while (condition &body body) `(iterate loop () (if,condition (loop))))) ; PARCIL - A Parser for C syntax In Lisp version 0.1a copyright (c) 1992 by Erann Gat, all rights reserved This program is free software; you can redistribute it and/or modify it under the terms of the

More information

Notes on Higher Order Programming in Scheme. by Alexander Stepanov

Notes on Higher Order Programming in Scheme. by Alexander Stepanov by Alexander Stepanov August 1986 INTRODUCTION Why Scheme? Because it allows us to deal with: 1. Data Abstraction - it allows us to implement ADT (abstact data types) in a very special way. The issue of

More information

Allegro CL Certification Program

Allegro CL Certification Program Allegro CL Certification Program Lisp Programming Series Level I Presented by 1 About David Margolies Manager, Documentation, Franz Inc Been working with Lisp since 1984 dm@franz.com 2 About Franz Inc.

More information

A little bit of Lisp

A little bit of Lisp B.Y. Choueiry 1 Instructor s notes #3 A little bit of Lisp Introduction to Artificial Intelligence CSCE 476-876, Fall 2017 www.cse.unl.edu/~choueiry/f17-476-876 Read LWH: Chapters 1, 2, 3, and 4. Every

More information

Scheme. Functional Programming. Lambda Calculus. CSC 4101: Programming Languages 1. Textbook, Sections , 13.7

Scheme. Functional Programming. Lambda Calculus. CSC 4101: Programming Languages 1. Textbook, Sections , 13.7 Scheme Textbook, Sections 13.1 13.3, 13.7 1 Functional Programming Based on mathematical functions Take argument, return value Only function call, no assignment Functions are first-class values E.g., functions

More information

Extra Lecture #7: Defining Syntax

Extra Lecture #7: Defining Syntax Extra Lecture #7: Defining Syntax In effect, function and class definitions extend the Python language by adding new commands and data types. However, these are highly constrained extensions. For example,

More information

MIDTERM EXAMINATION - CS130 - Spring 2005

MIDTERM EXAMINATION - CS130 - Spring 2005 MIDTERM EAMINATION - CS130 - Spring 2005 Your full name: Your UCSD ID number: This exam is closed book and closed notes Total number of points in this exam: 231 + 25 extra credit This exam counts for 25%

More information

Functional programming with Common Lisp

Functional programming with Common Lisp Functional programming with Common Lisp Dr. C. Constantinides Department of Computer Science and Software Engineering Concordia University Montreal, Canada August 11, 2016 1 / 81 Expressions and functions

More information

Common LISP-Introduction

Common LISP-Introduction Common LISP-Introduction 1. The primary data structure in LISP is called the s-expression (symbolic expression). There are two basic types of s-expressions: atoms and lists. 2. The LISP language is normally

More information

(defun fill-nodes (nodes texts name) (mapcar #'fill-node (replicate-nodes nodes (length texts) name) texts))

(defun fill-nodes (nodes texts name) (mapcar #'fill-node (replicate-nodes nodes (length texts) name) texts)) PROBLEM NOTES Critical to the problem is noticing the following: You can t always replicate just the second node passed to fill-nodes. The node to be replicated must have a common parent with the node

More information

Lambda Calculus see notes on Lambda Calculus

Lambda Calculus see notes on Lambda Calculus Lambda Calculus see notes on Lambda Calculus Shakil M. Khan adapted from Gunnar Gotshalks recap so far: Lisp data structures basic Lisp programming bound/free variables, scope of variables Lisp symbols,

More information

A Genetic Algorithm Implementation

A Genetic Algorithm Implementation A Genetic Algorithm Implementation Roy M. Turner (rturner@maine.edu) Spring 2017 Contents 1 Introduction 3 2 Header information 3 3 Class definitions 3 3.1 Individual..........................................

More information

LFE - a lisp on the Erlang VM

LFE - a lisp on the Erlang VM Robert Virding Principle Language Expert at Erlang Solutions Ltd. LFE - a lisp on the Erlang VM What LFE isn t It isn t an implementation of Scheme It isn t an implementation of Common Lisp It isn t an

More information

Languages as Libraries

Languages as Libraries Languages as Libraries or, implementing the next 700 programming languages Sam Tobin-Hochstadt PLT @ Northeastern University May 11, 2011 MIT 1 A domain specific language is the ultimate abstraction. Paul

More information

Lecture #5 Kenneth W. Flynn RPI CS

Lecture #5 Kenneth W. Flynn RPI CS Outline Programming in Lisp Lecture #5 Kenneth W. Flynn RPI CS We've seen symbols in three contexts so far: > (setf sym ) (let ((sym ))...) >'Sym SYM -- Context The first of these refers to a special (or

More information

Summer 2017 Discussion 10: July 25, Introduction. 2 Primitives and Define

Summer 2017 Discussion 10: July 25, Introduction. 2 Primitives and Define CS 6A Scheme Summer 207 Discussion 0: July 25, 207 Introduction In the next part of the course, we will be working with the Scheme programming language. In addition to learning how to write Scheme programs,

More information

CIS4/681 { Articial Intelligence 2 > (insert-sort '( )) ( ) 2 More Complicated Recursion So far everything we have dened requires

CIS4/681 { Articial Intelligence 2 > (insert-sort '( )) ( ) 2 More Complicated Recursion So far everything we have dened requires 1 A couple of Functions 1 Let's take another example of a simple lisp function { one that does insertion sort. Let us assume that this sort function takes as input a list of numbers and sorts them in ascending

More information

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. Common Lisp Fundamentals

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. Common Lisp Fundamentals INF4820: Algorithms for Artificial Intelligence and Natural Language Processing Common Lisp Fundamentals Stephan Oepen & Murhaf Fares Language Technology Group (LTG) August 30, 2017 Last Week: What is

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

Robot Programming with Lisp

Robot Programming with Lisp 4. Functional Programming: Higher-order Functions, Map/Reduce, Lexical Scope Institute for Artificial University of Bremen 9 of November, 2017 Functional Programming Pure functional programming concepts

More information

11/6/17. Functional programming. FP Foundations, Scheme (2) LISP Data Types. LISP Data Types. LISP Data Types. Scheme. LISP: John McCarthy 1958 MIT

11/6/17. Functional programming. FP Foundations, Scheme (2) LISP Data Types. LISP Data Types. LISP Data Types. Scheme. LISP: John McCarthy 1958 MIT Functional programming FP Foundations, Scheme (2 In Text: Chapter 15 LISP: John McCarthy 1958 MIT List Processing => Symbolic Manipulation First functional programming language Every version after the

More information

Announcements. Today s Menu

Announcements. Today s Menu Announcements 1 Today s Menu Finish Introduction to ANNs (original material by Dr. Mike Nechyba) > Slides 58-60 > Adjusting the Learning Rate Loose Ends in > Lambda Expressions Review > I/O Functions >

More information

Allegro CL Certification Program

Allegro CL Certification Program Allegro CL Certification Program Lisp Programming Series Level I Session 1.3.1 David Margolies Manipulating Lists 9/16/2010 1 What is a List? An ordered (possibly empty) collection of things in a particular

More information

Functional Programming. Pure Functional Programming

Functional Programming. Pure Functional Programming Functional Programming Pure Functional Programming Computation is largely performed by applying functions to values. The value of an expression depends only on the values of its sub-expressions (if any).

More information

COP4020 Programming Languages. Functional Programming Prof. Robert van Engelen

COP4020 Programming Languages. Functional Programming Prof. Robert van Engelen COP4020 Programming Languages Functional Programming Prof. Robert van Engelen Overview What is functional programming? Historical origins of functional programming Functional programming today Concepts

More information

Introduction to Lisp

Introduction to Lisp Last update: February 16, 2010 Introduction to Lisp Dana Nau Dana Nau 1 Outline I assume you know enough about computer languages that you can learn new ones quickly, so I ll go pretty fast If I go too

More information

Computer Science 21b (Spring Term, 2015) Structure and Interpretation of Computer Programs. Lexical addressing

Computer Science 21b (Spring Term, 2015) Structure and Interpretation of Computer Programs. Lexical addressing Computer Science 21b (Spring Term, 2015) Structure and Interpretation of Computer Programs Lexical addressing The difference between a interpreter and a compiler is really two points on a spectrum of possible

More information

CSCI337 Organisation of Programming Languages LISP

CSCI337 Organisation of Programming Languages LISP Organisation of Programming Languages LISP Getting Started Starting Common Lisp $ clisp i i i i i i i ooooo o ooooooo ooooo ooooo I I I I I I I 8 8 8 8 8 o 8 8 I \ `+' / I 8 8 8 8 8 8 \ `-+-' / 8 8 8 ooooo

More information

Func%onal Programming in Scheme and Lisp

Func%onal Programming in Scheme and Lisp Func%onal Programming in Scheme and Lisp http://www.lisperati.com/landoflisp/ Overview In a func(onal programming language, func(ons are first class objects You can create them, put them in data structures,

More information

UMBC CMSC 331 Final Exam

UMBC CMSC 331 Final Exam UMBC CMSC 331 Final Exam Name: UMBC Username: You have two hours to complete this closed book exam. We reserve the right to assign partial credit, and to deduct points for answers that are needlessly wordy

More information

Functional Programming. Big Picture. Design of Programming Languages

Functional Programming. Big Picture. Design of Programming Languages Functional Programming Big Picture What we ve learned so far: Imperative Programming Languages Variables, binding, scoping, reference environment, etc What s next: Functional Programming Languages Semantics

More information

Lecture #2 Kenneth W. Flynn RPI CS

Lecture #2 Kenneth W. Flynn RPI CS Outline Programming in Lisp Lecture #2 Kenneth W. Flynn RPI CS Items from last time Recursion, briefly How to run Lisp I/O, Variables and other miscellany Lists Arrays Other data structures Jin Li lij3@rpi.edu

More information

Expressions and Assignment

Expressions and Assignment Expressions and Assignment COS 301: Programming Languages Outline Other assignment mechanisms Introduction Expressions: fundamental means of specifying computations Imperative languages: usually RHS of

More information

Func%onal Programming in Scheme and Lisp

Func%onal Programming in Scheme and Lisp Func%onal Programming in Scheme and Lisp http://www.lisperati.com/landoflisp/ Overview In a func(onal programming language, func(ons are first class objects You can create them, put them in data structures,

More information

MetacircularScheme! (a variant of lisp)

MetacircularScheme! (a variant of lisp) MetacircularScheme! (a variant of lisp) Lisp = Beauty Passed on through ages Basic Expressions (function arg1 arg2 ) To evaluate an expression, apply the functionto the arguments. (+ 1 2)? => 3 (sqrt4)?

More information

UMBC CMSC 331 Final Exam

UMBC CMSC 331 Final Exam UMBC CMSC 331 Final Exam Name: UMBC Username: You have two hours to complete this closed book exam. We reserve the right to assign partial credit, and to deduct points for answers that are needlessly wordy

More information

Functional Programming

Functional Programming Functional Programming CS331 Chapter 14 Functional Programming Original functional language is LISP LISt Processing The list is the fundamental data structure Developed by John McCarthy in the 60 s Used

More information

Streams and Lazy Evaluation in Lisp

Streams and Lazy Evaluation in Lisp Streams and Lazy Evaluation in Lisp Overview Different models of expression evaluation Lazy vs. eager evaluation Normal vs. applicative order evaluation Computing with streams in Lisp Motivation Unix Pipes

More information

CSCI 2210: Programming in Lisp. Progn. Block. CSCI Programming in Lisp; Instructor: Alok Mehta 1. ANSI Common Lisp, Chapters 5-10

CSCI 2210: Programming in Lisp. Progn. Block. CSCI Programming in Lisp; Instructor: Alok Mehta 1. ANSI Common Lisp, Chapters 5-10 CSCI 2210: Programming in Lisp ANSI Common Lisp, Chapters 5-10 CSCI 2210 - Programming in Lisp; Instructor: Alok Mehta; 4.ppt 1 Progn Progn Creates a block of code Expressions in body are evaluated Value

More information

Symbolic Computation and Common Lisp

Symbolic Computation and Common Lisp Symbolic Computation and Common Lisp Dr. Neil T. Dantam CSCI-56, Colorado School of Mines Fall 28 Dantam (Mines CSCI-56) Lisp Fall 28 / 92 Why? Symbolic Computing: Much of this course deals with processing

More information

Functional Languages. CSE 307 Principles of Programming Languages Stony Brook University

Functional Languages. CSE 307 Principles of Programming Languages Stony Brook University Functional Languages CSE 307 Principles of Programming Languages Stony Brook University http://www.cs.stonybrook.edu/~cse307 1 Historical Origins 2 The imperative and functional models grew out of work

More information

Scheme: Data. CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Monday, April 3, Glenn G.

Scheme: Data. CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Monday, April 3, Glenn G. Scheme: Data CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Monday, April 3, 2017 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks ggchappell@alaska.edu

More information

Review of Functional Programming

Review of Functional Programming Review of Functional Programming York University Department of Computer Science and Engineering 1 Function and # It is good programming practice to use function instead of quote when quoting functions.

More information

Vanilla Lisp Shell (VLS)

Vanilla Lisp Shell (VLS) Vanilla Lisp Shell (VLS) Copyright c 2001 William Paul Vrotney i Table of Contents 1 Introduction............................... 2 2 Notation Conventions...................... 3 3 Getting Started............................

More information

Robot Programming with Lisp

Robot Programming with Lisp 2. Imperative Programming Institute for Artificial University of Bremen Lisp the Language LISP LISt Processing language 2 Lisp the Language LISP LISt Processing language (LISP Lots of Irritating Superfluous

More information

CS 314 Principles of Programming Languages

CS 314 Principles of Programming Languages CS 314 Principles of Programming Languages Lecture 16: Functional Programming Zheng (Eddy Zhang Rutgers University April 2, 2018 Review: Computation Paradigms Functional: Composition of operations on data.

More information

Structure Programming in Lisp. Shared Structure. Tailp. Shared Structure. Top-Level List Structure

Structure Programming in Lisp. Shared Structure. Tailp. Shared Structure. Top-Level List Structure Structure 66-2210-01 Programming in Lisp Lecture 6 - Structure; ase Study: locks World Lisp's use of pointers Let you put any value anywhere Details are taken care of by the Lisp interpreter What goes

More information

Documentation for LISP in BASIC

Documentation for LISP in BASIC Documentation for LISP in BASIC The software and the documentation are both Copyright 2008 Arthur Nunes-Harwitt LISP in BASIC is a LISP interpreter for a Scheme-like dialect of LISP, which happens to have

More information

19 Machine Learning in Lisp

19 Machine Learning in Lisp 19 Machine Learning in Lisp Chapter Objectives Chapter Contents ID3 algorithm and inducing decision trees from lists of examples. A basic Lisp implementation of ID3 Demonstration on a simple credit assessment

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

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

CSE413: Programming Languages and Implementation Racket structs Implementing languages with interpreters Implementing closures

CSE413: Programming Languages and Implementation Racket structs Implementing languages with interpreters Implementing closures CSE413: Programming Languages and Implementation Racket structs Implementing languages with interpreters Implementing closures Dan Grossman Fall 2014 Hi! I m not Hal J I love this stuff and have taught

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

This should prevent residual sexism, racism, favoritism lurking in the unconscious of your professor & TA from biasing grading!!

This should prevent residual sexism, racism, favoritism lurking in the unconscious of your professor & TA from biasing grading!! NAME login: Signature: Computer Science and Engineering 150 Programming Languages for Artificial Intelligence Tuesday, November 5, 2002: DON T FORGET TO VOTE!!! FIRST MIDTERM EXAM DO NOT TURN THIS PAGE

More information

An introduction to Scheme

An introduction to Scheme An introduction to Scheme Introduction A powerful programming language is more than just a means for instructing a computer to perform tasks. The language also serves as a framework within which we organize

More information

Concepts of programming languages

Concepts of programming languages Concepts of programming languages Lecture 7 Wouter Swierstra 1 Last time Relating evaluation and types How to handle variable binding in embedded languages? 2 DSLs: approaches A stand-alone DSL typically

More information

Lisp. Versions of LISP

Lisp. Versions of LISP Lisp Versions of LISP Lisp is an old language with many variants Lisp is alive and well today Most modern versions are based on Common Lisp LispWorks is based on Common Lisp Scheme is one of the major

More information

Introduction to Functional Programming

Introduction to Functional Programming Introduction to Functional Programming Xiao Jia xjia@cs.sjtu.edu.cn Summer 2013 Scheme Appeared in 1975 Designed by Guy L. Steele Gerald Jay Sussman Influenced by Lisp, ALGOL Influenced Common Lisp, Haskell,

More information

Jatha. Common Lisp in Java. Ola Bini JRuby Core Developer ThoughtWorks Studios.

Jatha. Common Lisp in Java. Ola Bini JRuby Core Developer ThoughtWorks Studios. Jatha Common Lisp in Java Ola Bini JRuby Core Developer ThoughtWorks Studios ola.bini@gmail.com http://olabini.com/blog Common Lisp? Common Lisp? ANSI standard Common Lisp? ANSI standard Powerful Common

More information

4/19/2018. Chapter 11 :: Functional Languages

4/19/2018. Chapter 11 :: Functional Languages Chapter 11 :: Functional Languages Programming Language Pragmatics Michael L. Scott Historical Origins The imperative and functional models grew out of work undertaken by Alan Turing, Alonzo Church, Stephen

More information

Pattern Matching WIlensky Chapter 21

Pattern Matching WIlensky Chapter 21 Pattern Matching WIlensky Chapter 21 PM-1 Pattern Matching A ubiquitous function in intelligence is pattern matching» IQ tests, for example, contain pattern matching problems because they are recognized

More information

Functional programming techniques

Functional programming techniques Functional programming techniques o Currying o Continuations o Streams. Lazy evaluation Currying o Haskell B. Curry. o Second-order programming: o Functions that return other functions. o Example: A two-arguments

More information

SCHEME 8. 1 Introduction. 2 Primitives COMPUTER SCIENCE 61A. March 23, 2017

SCHEME 8. 1 Introduction. 2 Primitives COMPUTER SCIENCE 61A. March 23, 2017 SCHEME 8 COMPUTER SCIENCE 61A March 2, 2017 1 Introduction In the next part of the course, we will be working with the Scheme programming language. In addition to learning how to write Scheme programs,

More information

Scheme: Expressions & Procedures

Scheme: Expressions & Procedures Scheme: Expressions & Procedures CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Friday, March 31, 2017 Glenn G. Chappell Department of Computer Science University

More information

Programming Languages

Programming Languages Programming Languages Tevfik Koşar Lecture - XIII March 2 nd, 2006 1 Roadmap Functional Languages Lambda Calculus Intro to Scheme Basics Functions Bindings Equality Testing Searching 2 1 Functional Languages

More information

CS 320: Concepts of Programming Languages

CS 320: Concepts of Programming Languages CS 320: Concepts of Programming Languages Wayne Snyder Computer Science Department Boston University Lecture 04: Basic Haskell Continued o Polymorphic Types o Type Inference with Polymorphism o Standard

More information

Type-checking on Heterogeneous Sequences

Type-checking on Heterogeneous Sequences Type-checking on Heterogeneous Sequences in Common Lisp Jim Newton EPITA/LRDE May 9, 2016 Jim Newton (EPITA/LRDE) Type-checking on Heterogeneous Sequences May 9, 2016 1 / 31 Overview 1 Introduction Common

More information

Introduction to lambda calculus Part 3

Introduction to lambda calculus Part 3 Introduction to lambda calculus Part 3 Antti-Juhani Kaijanaho 2017-01-27... 1 Untyped lambda calculus... 2 Typed lambda calculi In an untyped lambda calculus extended with integers, it is required that

More information

LECTURE 16. Functional Programming

LECTURE 16. Functional Programming LECTURE 16 Functional Programming WHAT IS FUNCTIONAL PROGRAMMING? Functional programming defines the outputs of a program as a mathematical function of the inputs. Functional programming is a declarative

More information

Allegro CL Certification Program

Allegro CL Certification Program Allegro CL Certification Program Lisp Programming Series Level I Review David Margolies 1 Summary 1 A lisp session contains a large number of objects which is typically increased by user-created lisp objects

More information

CSCI 3155: Principles of Programming Languages Exam preparation #1 2007

CSCI 3155: Principles of Programming Languages Exam preparation #1 2007 CSCI 3155: Principles of Programming Languages Exam preparation #1 2007 Exercise 1. Consider the if-then-else construct of Pascal, as in the following example: IF 1 = 2 THEN PRINT X ELSE PRINT Y (a) Assume

More information