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19 Lisp Programming Questions And Answers

1⟩ Who is the founder of Lisp Programming?

John McCarthy developed the basics behind Lisp during the 1956 Dartmouth

Summer Research Project on Artificial Intelligence. He intended it as an

algebraic LISt Processing (hence the name) language for artificial

intelligence work. Early implementations included the IBM 704, the IBM

7090, the DEC PDP-1, the DEC PDP-6 and the DEC PDP-10. The PDP-6 and

PDP-10 had 18-bit addresses and 36-bit words, allowing a CONS cell to

be stored in one word, with single instructions to extract the CAR and

CDR parts. The early PDP machines had a small address space, which

limited the size of Lisp programs.

Milestones in the development of Lisp:

1956 Dartmouth Summer Research Project on AI.

1960-65 Lisp1.5 is the primary dialect of Lisp.

1964- Development of BBNLisp at BBN.

late 60s Lisp1.5 diverges into two main dialects:

Interlisp (originally BBNLisp) and MacLisp.

early 70s Development of special-purpose computers known as Lisp

Machines, designed specificly to run Lisp programs.

Xerox D-series Lisp Machines run Interlisp-D.

Early MIT Lisp Machines run Lisp Machine Lisp

(an extension of MacLisp).

1969 Anthony Hearn and Martin Griss define Standard Lisp to

port REDUCE, a symbolic algebra system, to a variety

of architectures.

late 70s Macsyma group at MIT developed NIL (New Implementation

of Lisp), a Lisp for the VAX.

Stanford and Lawrence Livermore National Laboratory

develop S-1 Lisp for the Mark IIA supercomputer.

Franz Lisp (dialect of MacLisp) runs on stock-hardware

Unix machines.

Gerald J. Sussman and Guy L. Steele developed Scheme,

a simple dialect of Lisp with lexical scoping and

lexical closures, continuations as first-class objects,

and a simplified syntax (i.e., only one binding per symbol).

Advent of object-oriented programming concepts in Lisp.

Flavors was developed at MIT for the Lisp machine,

and LOOPS (Lisp Object Oriented Programming System) was

developed at Xerox.

early 80s Development of SPICE-Lisp at CMU, a dialect of MacLisp

designed to run on the Scientific Personal Integrated

Computing Environment (SPICE) workstation.

1980 First biannual ACM Lisp and Functional Programming Conf.

1981 PSL (Portable Standard Lisp) runs on a variety of platforms.

1981+ Lisp Machines from Xerox, LMI (Lisp Machines Inc)

and Symbolics available commercially.

April 1981 Grass roots definition of Common Lisp as a description

of the common aspects of the family of languages (Lisp

Machine Lisp, MacLisp, NIL, S-1 Lisp, Spice Lisp, Scheme).

1984 Publication of CLtL1. Common Lisp becomes a de facto

standard.

1986 X3J13 forms to produce a draft for an ANSI Common Lisp

standard.

1987 Lisp Pointers commences publication.

1990 Steele publishes CLtL2 which offers a snapshot of

work in progress by X3J13. (Unlike CLtL1, CLtL2

was NOT an output of the standards process and was

not intended to become a de facto standard. Read

the Second Edition Preface for further explanation

of this important issue.) Includes CLOS,

conditions, pretty printing and iteration facilities.

1992 X3J13 creates a draft proposed American National

Standard for Common Lisp. This document is the

first official successor to CLtL1.

[Note: This summary is based primarily upon the History section of the

draft ANSI specification.

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2⟩ Can we call Lisp functions from other languages?

In implementations that provide a foreign function interface as described

above, there is also usually a "callback" mechanism. The programmer may

associate a foreign language function name with a Lisp function. When a

foreign object file or library is loaded into the Lisp address space, it is

linked with these callback functions. As with foreign functions, the

programmer must supply the argument and result data types so that Lisp may

perform conversions at the interface. Note that in such foreign function

interfaces Lisp is often left "in control" of things like memory

allocation, I/O channels, and startup code (this is a major nuisance

for lots of people).

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3⟩ How complex can we get?

If you want, extremely complex. The LISP Generator utilizes nearly the entire AutoLISP language. There's no limit to how large your programs can be, and no limit to how complex they can be either. Even though most programs can be written in a straightforward or "linear" manner, you have the option to write highly embedded code. You can nest multiple IF and LOOP statements within each other. Also, you can always feed complex operations or math equations as direct input to larger operations, which themselves could be embedded or "nested" in other operations, and so on. So, the sky's the limit.

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4⟩ What if we get interrupted?

You are free to come and go from the LISP Generator and do whatever you want in AutoCAD while you are in the middle of creating a program. There are helpful tools in case you forget things like the names of variables you defined.

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5⟩ Explain What is the ouput like?

LG3 writes easy-to-read, fully indented AutoLISP programs loaded with detailed comments in English that explain what all of the LISP code is doing. The files are standard ".LSP" files. You can view, edit, or print them with any editor, and run them on any AutoCAD system with or without the Generator.

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6⟩ How to determine if a file is a directory or not? How do I get the current directory name from within a Lisp program? Is there any way to create a directory?

There is no portable way in Common Lisp of determining whether a file

is a directory or not. Calling DIRECTORY on the pathname will not

always work, since the directory could be empty. For UNIX systems

(defun DIRECTORY-P (pathname)

(probe-file (concatenate 'string pathname "/.")))

seems to work fairly reliably. (If "foo" is a directory, then "foo/."

will be a valid filename; if not, it will return NIL.) This won't, of

course, work on the Macintosh, or on other operating systems (e.g.,

MVS, CMS, ITS). On the Macintosh, use DIRECTORYP.

Moreover, some operating systems may not support the concept of

directories, or even of a file system. For example, recent work on

object-oriented technology considers files to be collections of

objects. Each type of collection defines a set of methods for reading

and writing the objects "stored" in the collection.

There's no standard function for finding the current directory from

within a Lisp program, since not all Lisp environments have the

concept of a current directory. Here are the commands from some Lisp

implementations:

Lucid: WORKING-DIRECTORY (which is also SETFable)

PWD and CD also work

Allegro: CURRENT-DIRECTORY (use excl:chdir to change it)

CMU CL: DEFAULT-DIRECTORY

LispWorks: LW:*CURRENT-WORKING-DIRECTORY*

(use LW:CHANGE-DIRECTORY to change it)

Allegro also uses the variable *default-pathname-defaults* to resolve

relative pathnames, maintaining it as the current working directory.

So evaluating (truename "./") in Allegro (and on certain other

systems) will return a pathname for the current directory. Likewise,

in some VMS systems evaluating (truename "[]") will return a pathname

for the current directory.

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7⟩ Explain What is the "minimal" set of primitives needed for a Lisp interpreter?

Many Lisp functions can be defined in terms of other Lisp functions.

For example, CAAR can be defined in terms of CAR as

(defun caar (list) (car (car list)))

It is then natural to ask whether there is a "minimal" or smallest set

of primitives necessary to implement the language.

There is no single "best" minimal set of primitives; it all depends on

the implementation. For example, even something as basic as numbers

need not be primitive, and can be represented as lists. One possible

set of primitives might include CAR, CDR, and CONS for manipulation of

S-expressions, READ and PRINT for the input/output of S-expressions

and APPLY and EVAL for the guts of an interpreter. But then you might

want to add LAMBDA for functions, EQ for equality, COND for

conditionals, SET for assignment, and DEFUN for definitions. QUOTE

might come in handy as well. If you add more specialized datatypes,

such as integers, floats, arrays, characters, and structures, you'll

need to add primitives to construct and access each.

AWKLisp is a Lisp interpreter written in awk, available by anonymous

ftp from ftp.cs.cmu.edu:/user/ai/lang/lisp/impl/awk/. It has thirteen

built-in functions: CAR, CDR, CONS, EQ, ATOM, SET, EVAL, ERROR, QUOTE,

COND, AND, OR, LIST.

A more practical notion of a "minimal" set of primitives might be to

look at the implementation of Scheme. While many Scheme functions can

be derived from others, the language is much smaller than Common Lisp.

See Dybvig's PhD thesis,

R. Kent Dybvig, "Three Implementation Models for Scheme", Department

of Computer Science Technical Report #87-011, University of North

Carolina at Chapel Hill, Chapel Hill, North Carolina, April 1987.

for a justification of a particularly practical minimal set of

primitives for Scheme.

In a language like Common Lisp, however, there are a lot of low-level

primitive functions that cannot be written in terms of the others,

such as GET-UNIVERSAL-TIME, READ-CHAR, WRITE-CHAR, OPEN, and CLOSE,

for starters. Moreover, real Common Lisp implementations are often

built upon primitives that aren't part of the language, per se, and

certainly not intended to be user-accessible, such as SYS:%POINTER-REF.

Beside the references listed in [1-4], some other relevant references

include:

McCarthy, John, "Recursive Functions of Symbolic Expressions and

their Computation by Machine, Part I", CACM 3(4):185-195, April 1960.

[Defines five elementary functions on s-expressions.]

McCarthy, John, "A Micro-Manual for Lisp -- not the whole Truth",

ACM SIGPLAN Notices, 13(8):215-216, August 1978.

[Defines the Lisp programming language in 10 rules and gives

a small interpreter (eval) written in this Lisp.]

McCarthy, John, et al., "LISP 1.5 Programmer's Manual", 2nd edition,

MIT Press, 1965, ISBN 0-262-13011-4 (paperback).

[Gives five basic functions, CAR, CDR, CONS, EQ, and ATOM.

Using composition, conditional expressions (COND), and

recursion, LAMBDA, and QUOTE, these basic functions may be used

to construct the entire class of computable functions of

S-expressions. Gives the functions EVAL and APPLY in

M-expression syntax.]

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8⟩ How we have two Lisp processes communicate via unix sockets?

CLX uses Unix sockets to communicate with the X window server. Look at

the following files from the CLX distribution for a good example of

using Unix sockets from Lisp:

defsystem.lisp Lucid, AKCL, IBCL, CMU.

socket.c, sockcl.lisp AKCL, IBCL

excldep.lisp Franz Allegro CL

You will need the "socket.o" files which come with Lucid and Allegro.

To obtain CLX

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9⟩ Explain the purpose of this newsgroup?

The newsgroup comp.lang.lisp exists for general discussion of

topics related to the programming language Lisp. For example, possible

topics can include (but are not necessarily limited to):

announcements of Lisp books and products

discussion of programs and utilities written in Lisp

discussion of portability issues

questions about possible bugs in Lisp implementations

problems porting an implementation to some architecture

Postings should be of general interest to the Lisp community. See also

question [4-9]. Postings asking for solutions to homework problems are

inappropriate.

The comp.lang.lisp newsgroup is archived in

ftp.cs.cmu.edu:/user/ai/pubs/news/comp.lang.lisp/

on a weekly basis.

Every so often, somebody posts an inflammatory message, such as

My programming language is better than yours (Lisp vs. C/Prolog/Scheme).

Loop (or Series) should/shouldn't be part of the language.

These "religious" issues serve no real purpose other than to waste

bandwidth. If you feel the urge to respond to such a post, please do

so through a private e-mail message.

Questions about object oriented programming in Lisp should be directed

to the newsgroup comp.lang.clos. Similarly, questions about the

programming language Scheme should be directed to the newsgroup

comp.lang.scheme. Discussion of functional programming language issues

should be directed to the newsgroup comp.lang.functional. Discussion

of AI programs implemented in Lisp should sometimes be cross-posted to

the newsgroup comp.ai.

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10⟩ Why we need LISP?

In short, no single improvement you can make to your AutoCAD system will save you more time, effort, and money. You can spend thousands on the latest generation computers, the fastest video cards, and so on, but that won't make nearly as big a difference as automating your system with software. With an arsenal of LISP routines, you will send accuracy, consistency, and productivity soaring while greatly reducing the stress and strain of CAD operation. The right software is the key, and there is no amount of software you can buy that beats being able to program AutoCAD yourself with as many tailor-made routines as you want. And that is exactly what the LISP Generator enables you to do.

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11⟩ How to save an executable image of my loaded Lisp system? How to run a Unix command in Lisp? How to exit Lisp? Access environment variables?

There is no standard for dumping a Lisp image. Here are the

commands from some lisp implementations:

Lucid: DISKSAVE

Symbolics: Save World [CP command]

CMU CL: SAVE-LISP

Franz Allegro: EXCL:DUMPLISP (documented)

SAVE-IMAGE (undocumented)

Medley: IL:SYSOUT or IL:MAKESYS

MCL: SAVE-APPLICATION <pathname>

&key :toplevel-function :creator :excise-compiler

:size :resources :init-file :clear-clos-caches

KCL: (si:save-system "saved_kcl")

LispWorks: LW:SAVE-IMAGE

Be sure to garbage collect before dumping the image. You may need to

experiment with the kind of garbage collection for large images, and

may find better results if you build the image in stages.

There is no standard for running a Unix shell command from Lisp,

especially since not all Lisps run on top of Unix. Here are the

commands from some Lisp implementations:

Allegro: EXCL:RUN-SHELL-COMMAND (command &key input output

error-output wait if-input-does-not-exist

if-output-exists if-error-output-exists)

Lucid: RUN-PROGRAM (name

&key input output

error-output (wait t) arguments

(if-input-does-not-exist :error)

(if-output-exists :error)

(if-error-output-exists :error))

KCL: SYSTEM

For example, (system "ls -l").

You can also try RUN-PROCESS and EXCLP, but they

don't work with all versions of KCL.

CMU CL: RUN-PROGRAM (program args

&key (env *environment-list*) (wait t) pty input

if-input-does-not-exist output

(if-output-exists :error) (error :output)

(if-error-exists :error) status-hook before-execve)

LispWorks: FOREIGN:CALL-SYSTEM-SHOWING-OUTPUT

To toggle source file recording and cross-reference annotations, use

Allegro: excl:*record-source-file-info*

excl:*load-source-file-info*

excl:*record-xref-info*

excl:*load-xref-info*

LispWorks: (toggle-source-debugging nil)

Memory management:

CMU CL: (bytes-consed-between-gcs) [this is setfable]

Lucid: (change-memory-management

&key growth-limit expand expand-reserved)

Allegro: *tenured-bytes-limit*

LispWorks: LW:GET-GC-PARAMETERS

(use LW:SET-GC-PARAMETERS to change them)

Environment Variable Access:

Allegro: (sys:getenv var)

(sys:setenv var value) or (setf (sys:getenv var) value)

Lucid: (environment-variable var)

(set-environment-variable var value)

CMU CL 17: (cdr (assoc (intern var :keyword) *environment-list*))

{A}KCL, GCL: (system:getenv var)

CLISP: (system::getenv var)

Exiting/Quitting:

CLISP: EXIT

Allegro: EXIT (&optional excl::code &rest excl::args

&key excl::no-unwind excl::quiet)

LispWorks: BYE (&optional (arg 0))

Lucid: QUIT (&optional (lucid::status 0))

CMU CL: QUIT (&optional recklessly-p)

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12⟩ What is the difference between Scheme and Common Lisp?

Scheme is a dialect of Lisp that stresses conceptual elegance and

simplicity. It is specified in R4RS and IEEE standard P1178. (See

the Scheme FAQ for details on standards for Scheme.) Scheme is much

smaller than Common Lisp; the specification is about 50 pages,

compared to Common Lisp's 1300 page draft standard. (See question

[4-10] for details on standards for Common Lisp.) Advocates of Scheme

often find it amusing that the Scheme standard is shorter than the

index to CLtL2.

Scheme is often used in computer science curricula and programming

language research, due to its ability to represent many programming

abstractions with its simple primitives. Common Lisp is often used for

real world programming because of its large library of utility

functions, a standard object-oriented programming facility (CLOS), and

a sophisticated condition handling system.

See the Scheme FAQ for information about object-oriented programming

in Scheme.

In Common Lisp, a simple program would look something like the

following:

(defun fact (n)

(if (< n 2)

1

(* n (fact (1- n)))))

In Scheme, the equivalent program would like like this:

(define fact

(lambda (n)

(if (< n 2)

1

(* n (fact (- n 1))))))

Experienced Lisp programmers might write this program as follows in order

to allow it to run in constant space:

(defun fact (n)

(labels ((tail-recursive-fact (counter accumulator)

(if (> counter n)

accumulator

(tail-recursive-fact (1+ counter)

(* counter accumulator)))))

(tail-recursive-fact 1 1)))

Whereas in Scheme the same computation could be written as follows:

(define fact

(lambda (n)

(letrec ((tail-recursive-fact

(lambda (counter accumulator)

(if (> counter n)

accumulator

(tail-recursive-fact (+ counter 1)

(* counter accumulator))))))

(tail-recursive-fact 1 1))))

or perhaps (using IEEE named LETs):

(define fact

(lambda (n)

(let loop ((counter n)

(accumulator 1))

(if (< counter 2)

accumulator

(loop (- counter 1)

(* accumulator counter))))))

Some Schemes allow one to use the syntax (define (fact n) ...) instead

of (define fact (lambda (n) ...)).

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13⟩ How to pass commands to LG3?

By selecting general operations from the tools menu. You can think of the tools as building blocks - each tool corresponding to several lines of LISP code. The tools you use and the order in which you select them defines what your program does.

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14⟩ Lisp books, introductions, documentation, periodicals, journals, and conference proceedings!

There are several good Lisp introductions and tutorials:

1. David S. Touretzky

"Common Lisp: A Gentle Introduction to Symbolic Computation"

Benjamin/Cummings Publishers, Redwood City, CA, 1990. 592 pages.

ISBN 0-8053-0492-4 ($42.95).

Perhaps the best tutorial introduction to the language. It has

clear and correct explanations, and covers some fairly advanced

topics. The book is an updated Common Lisp version of the 1984

edition published by Harper and Row Publishers.

Three free Lisp educational tools which were used in the book --

Evaltrace, DTRACE and SDRAW -- are available by anonymous ftp from

b.gp.cs.cmu.edu:/usr/dst/public/lisp/

b.gp.cs.cmu.edu:/usr/dst/public/evaltrace/

Evaltrace is a graphical notation for explaining how evaluation

works and is described in "Visualizing Evaluation in

Applicative Languages" by David S. Touretzky and Peter Lee,

CACM 45-59, October 1992. DTRACE is a "detailed trace" which

provides more information than the tracing tools provided with

most Common Lisp implementations. SDRAW is a read-eval-draw

loop that evaluates Lisp expressions and draws the result as a

cons cell diagram (for both X11 and ascii terminals). Also

available is PPMX, a tool for pretty printing macro expansions.

2. Robert Wilensky.

"Common LISPcraft"

W. W. Norton, New York, 1986. 500 pages. ISBN 0-393-95544-3.

3. Wade L. Hennessey.

"Common Lisp"

McGraw-Hill, New York, 1989. 395 pages. ISBN 0-07-028177-7, $26.95.

Fairly good, but jumps back and forth from the simple to the

complex rather quickly, with no clear progression in difficulty.

4. Laurent Siklossy.

"Let's Talk LISP"

Prentice-Hall, NJ, 1976. 237 pages, ISBN 0-13-53276-2-8.

Good introduction, but quite out of date.

5. Stuart C. Shapiro.

"Common Lisp: An Interactive Approach"

Computer Science Press/W.H. Freeman, New York, 1992.

358 pages, ISBN 0-7167-8218-9.

The errata for the book may be obtained by anonymous ftp from

ftp.cs.buffalo.edu:/users/shapiro/clerrata.ps

Other introductions to Lisp include:

1. A. A. Berk.

"LISP, The Language of Artificial Intelligence"

Van Nostrand Reinhold, 1985. 160 pages, ISBN 0-44-22097-4-6.

2. Paul Y. Gloess.

"An Alfred handy guide to Understanding LISP"

Alfred Publishers (Sherman Oaks, CA), 1982.

64 pages, ISBN 0-88-28421-9-6, $2.95.

3. Ward D. Maurer.

"The Programmer's Introduction to LISP"

American Elsevier, New York, 1972. 112 pages, ISBN 0-44-41957-2-6.

4. Hank Bromley and Richard Lamson.

"LISP Lore: A Guide to Programming the LISP Machine", 2nd edition

Kluwer Academic, Boston, 1987. 337 pages, ISBN 0-89-83822-8-9, $49.95.

5. Sharam Hekmatpour.

"Introduction to LISP and Symbol Manipulation"

Prentice Hall, New York, 1989. 303 pages, ISBN 0-13-53749-0-1, $40.

6. Deborah G. Tatar

"A programmer's guide to Common Lisp"

Digital Press, 1987. 327 pages. ISBN 0-932376-87-8.

Good introduction on Common Lisp for programmers familiar

with other programming languages, such as FORTRAN, PASCAL, or C.

7. Timothy Koschmann

"The Common Lisp Companion"

John Wiley & Sons, 1990. 459 pages, ISBN 0-471-503-8-8.

Targeted for those with some programming experience who wish to

learn draft-ANSI Common Lisp, including CLOS and the CL condition

system. Examples progress incrementally from simple numerical

calculation all the way to a logic-programming extension to CL.

More advanced introductions to Lisp and its use in Artificial

Intelligence include:

1. Peter Norvig.

"Paradigms of AI Programming: Case Studies in Common Lisp"

Morgan Kaufmann, 1992. 946 pages. ISBN 1-55860-191-0 ($49.95).

Provides an in-depth exposition of advanced AI programming techniques

and includes large-scale detailed examples. The book is the most

advanced AI/Common-Lisp programming text and reference currently

available, and hence is not for the complete novice. It focuses on the

programming techniques necessary for building large AI systems,

including object-oriented programming, and has a strong performance

orientation.

The text is marked by its use of "non-toy" examples to illustrate the

techniques. All of the examples are written in Common Lisp, and copies

of the source code are available by anonymous ftp from

unix.sri.com:/pub/norvig and on disk in Macintosh or DOS format from

the publisher. Some of the techniques described include rule-based

pattern matching (GPS, Eliza, a subset of Macsyma, the Emycin expert

system shell), constraint propagation and backtracking (Waltz

line-labelling), alpha-beta search (Othello), natural language

processing (top-down, bottom-up and chart parsing), logic-programming

(unification and Prolog), interpreters and compilers for Scheme, and

object-oriented programming (CLOS).

The examples are also used to illustrate good programming style and

efficiency. There is a guide to trouble-shooting and debugging Lisp

programs, a style guide, and a discussion of portability problems.

Some of the efficiency techniques described include memoization,

data indexing, compilation, delaying computation, proper use of

declarations, avoiding garbage collection, and choosing and using the

correct data structure.

The book also serves as an advanced introduction to Common Lisp, with

sections on the Loop macro, CLOS and sequences, and some coverage of

error handling, series, and the package facility.

2. Eugene Charniak, Christopher K. Riesbeck, Drew V. McDermott

and James R. Meehan.

"Artificial Intelligence Programming", 2nd edition.

Lawrence Erlbaum Associates (Hillsdale, NJ), 1987.

533 pages, ISBN 0-89-85960-9-2, $29.95.

Provides many nice code fragments, all of which are written

in Common Lisp. The first half of the book covers topics

like macros, the reader, data structures, control structures,

and defstructs. The second half of the book describes

programming techniques specific to AI, such as

discrimination nets, production systems, deductive database

retrieval, logic programming, and truth maintenance.

3. Patrick H. Winston and Berthold K. P. Horn.

"LISP", 3rd edition.

Addison-Wesley (Reading, MA), 1989. 611 pages. ISBN 0-201-08319-1

Covers the basic concepts of the language, but also gives a lot

of detail about programming AI topics such as rule-based expert

systems, forward chaining, interpreting transition trees,

compiling transition trees, object oriented programming,

and finding patterns in images. Not a tutorial. Has many

good examples. Source code for the examples is available by

anonymous ftp from ftp.ai.mit.edu:/pub/lisp3/. (The code runs in

Lucid, Allegro, KCL, GCLisp, MCL, Symbolics Genera. Send mail

with subject line "help" to ai3@ai.mit.edu for more information.)

4. John R. Anderson, Albert T. Corbett, and Brian J. Reiser.

"Essential LISP"

Addison-Wesley (Reading, MA), 1987.

352 pages, ISBN 0-20-11114-8-9, $23.95.

Concentrates on how to use Lisp with iteration and recursion.

5. Robert D. Cameron and Anthony H. Dixon

"Symbolic Computing with Lisp"

Prentice-Hall, 1992, 326 pages. ISBN 0-13-877846-9.

The book is intended primarily as a third-year computer science

text. In terms of programming techniques, it emphasizes recursion

and induction, data abstraction, grammar-based definition of Lisp

data structures and functional programming style. It uses

two Lisp languages:

(1) a purely functional subset of Lisp called Small Lisp and

(2) Common Lisp.

An MS-DOS interpreter for Small Lisp (including source) is

provided with the book. It considers applications of Lisp

to formal symbolic data domains: algebraic expressions,

logical formulas, grammars and programming languages.

6. Tony Hasemer and John Domingue.

"Common Lisp Programming for Artificial Intelligence"

Addison-Wesley, Reading, MA, 1989. 444 pages, ISBN 0-20-11757-9-7.

This book presents an introduction to Artificial Intelligence

with an emphasis on the role of knowledge representation. Three

chapters focus on object-oriented programming, including the

construction and use of a subset of CLOS.

The authors' research into the problems faced by novice Lisp

users influenced the content and style of the book. (The authors

are members of the Human Cognition Research Laboratory at the

Open University in the United Kingdom.) The book employs a

tutorial approach, especially in areas that students often find

difficult, such as recursion. Early and progressive treatment of

the evaluator promotes understanding of program execution.

Hands-on exercises are used to reinforce basic concepts.

The book assumes no prior knowledge of Lisp or AI and is a

suitable textbook for students in Cognitive Science, Computer

Science and other disciplines taking courses in Lisp or AI

programming as well as being invaluable for professional

programmers who are learning Lisp for developing AI applications.

7. Steven Tanimoto

"The Elements of Artificial Intelligence Using Common Lisp", 2nd edition

Computer Science Press, New York, 1995.

562 pages, ISBN 0-71-67826-9-3, (ISBN 0-71-67823-0-8, 1990, $48).

8. Patrick R. Harrison

"Common Lisp and Artificial Intelligence"

Prentice Hall, Englewood Clifs, NJ, 1990.

244 pages, ISBN 0-13-1552430, $22.50.

9. Paul Graham

"On Lisp: Advanced Techniques for Common Lisp"

Prentice Hall, Englewood Clifs, NJ, 1994. 413 pages, ISBN 0-13-030552-9.

Emphasizes a bottom-up style of writing programs, which he

claims is natural in Lisp and has advantages over the

traditional way of writing programs in C and Pascal.

Also has in-depth sections on writing macros with several

nice examples. Source code is available by anonymous ftp from

ftp.das.harvard.edu:/pub/onlisp/

as a single 56kb file.

10. John A. Moyne

"Lisp: A first language for computing"

Van Nostrand Reinhold, New York, 1991. 278 pages, ISBN 0442004265.

General Lisp reference books include:

1. ANSI/X3J13

Programming Language Common Lisp (ANSI/X3.226-1994)

American National Standards Institute

11 West 42nd Street, New York, NY 10036.

http://www.ansi.org/

2. Kent M. Pitman

Common Lisp HyperSpec (TM)

Harlequin, Inc., 1996.

This is an HTML-only document available via the web.

Available for browsing from

http://www.harlequin.com/books/HyperSpec/FrontMatter/

Available free for download (subject to some legal restrictions) from

http://www.harlequin.com/books/HyperSpec/

Includes text from ANSI/X3.226-1994 and other design rationales.

3. Guy L. Steele

"Common Lisp: The Language" [CLtL1]

Digital Press, 1984. 465 pages. ISBN 0-932376-41-X.

4. Guy L. Steele

"Common Lisp: The Language, 2nd Edition" [CLtL2]

Digital Press, 1990. 1029 pages, ISBN 1-55558-041-6 paperbound ($39.95).

[Butterworth-Heinemann, the owners of Digital Press, have made

the LaTeX sources to this book available by anonymous FTP from

cambridge.apple.com:/pub/CLTL/

A copy of the distribution is also available from

ftp.cs.cmu.edu:/user/ai/lang/lisp/doc/cltl/

The paperbound version of the book is, of course, available at

fine bookstores, or contact them directly at Digital Press,

225 Wildwood Street, Woburn, MA 01801, call 800-366-2665

(617-928-2527), or fax 800-446-6520 (617-933-6333). A copy of

the Digital Press book catalog is available from the same FTP location.]

A html version, produced using latex2html on the latex sources,

is accessible via the URL:

http://www.cs.cmu.edu/Web/Groups/AI/html/cltl/cltl2.html

5. Franz Inc.

"Common Lisp: The Reference"

Addison-Wesley, Reading, MA 1988. ISBN 0-201-11458-5

Entries on Lisp (CLtL1) functions in alphabetical order.

 215 views

16⟩ How to learn about implementing Lisp interpreters and compilers?

Books about Lisp implementation include:

1. John Allen

"Anatomy of Lisp"

McGraw-Hill, 1978. 446 pages. ISBN 0-07-001115-X

Discusses some of the fundamental issues involved in

the implemention of Lisp.

2. Samuel Kamin

"Programming Languages, An Interpreter-Based Approach"

Addison-Wesley, Reading, Mass., 1990. ISBN 0-201-06824-9

Includes sources to several interpreters for Lisp-like languages.

The source for the interpreters in the book is available

by anonymous FTP from

a.cs.uiuc.edu:/pub/kamin/kamin.distr/

Tim Budd reimplemented the interpreters in C++, and has made

them available by anonymous ftp from

cs.orst.edu:/pub/budd/kamin/

3. Sharam Hekmatpour

"Lisp: A Portable Implementation"

Prentice Hall, 1985. ISBN 0-13-537490-X.

Describes a portable implementation of a small dynamic

Lisp interpreter (including C source code).

4. Peter Henderson

"Functional Programming: Application and Implementation"

Prentice-Hall (Englewood Cliffs, NJ), 1980. 355 pages.

5. Peter M. Kogge

"The Architecture of Symbolic Computers"

McGraw-Hill, 1991. ISBN 0-07-035596-7.

Includes sections on memory management, the SECD and

Warren Abstract Machines, and overviews of the various

Lisp Machine architectures.

6. Daniel P. Friedman, Mitchell Wand, and Christopher T. Haynes

"Essentials of Programming Languages"

MIT Press, 1992, 536 pages. ISBN 0-262-06145-7.

Teaches fundamental concepts of programming language

design by using small interpreters as examples. Covers

most of the features of Scheme. Includes a discussion

of parameter passing techniques, object oriented languages,

and techniques for transforming interpreters to allow

their implementation in terms of any low-level language.

Also discusses scanners, parsers, and the derivation of

a compiler and virtual machine from an interpreter.

Includes a few chapters on converting code into a

continuation passing style.

Source files available by anonymous ftp from

cs.indiana.edu:/pub/eopl/ [129.79.254.191].

7. Peter Lee, editor, "Topics in Advanced Language Implementation",

The MIT Press, Cambridge, Mass., 1991.

Articles relevant to the implementation of functional

programming languages.

8. Also see the proceedings of the biannual ACM Lisp and Functional

Programming conferences, the implementation notes for CMU Common Lisp,

Norvig's book, and SICP (Abelson & Sussman).

9. Christian Queinnec

"Les Langages Lisp"

InterEditions (in French), 1994. 500 pages.

ISBN 2-7296-0549-5, 61-2448-1. (?)

Cambridge University Press (in English), 1996.

ISBN 0-521-56247-3.

The book covers Lisp, Scheme and other related dialects,

their interpretation, semantics and compilation.

 232 views

17⟩ How to call non-Lisp functions from Lisp?

Most Lisp implementations for systems where Lisp is not the most common

language provide a "foreign function" interface. As of now there has been

no significant standardization effort in this area. They tend to be

similar, but there are enough differences that it would be inappropriate to

try to describe them all here. In general, one uses an

implementation-dependent macro that defines a Lisp function, but instead of

supplying a body for the function, one supplies the name of a function written

in another language; the argument list portion of the definition is

generally augmented with the data types the foreign function expects and

the data type of the foreign function's return value, and the Lisp

interface function arranges to do any necessary conversions. There is also

generally a function to "load" an object file or library compiled in a

foreign language, which dynamically links the functions in the file being

loaded into the address space of the Lisp process, and connects the

interface functions to the corresponding foreign functions.

If you need to do this, see the manual for your language implementation for

full details. In particular, be on the lookout for restrictions on the

data types that may be passed. You may also need to know details about the

linkage conventions that are used on your system; for instance, many C

implementations prepend an underscore onto the names of C functions when

generating the assembler output (this allows them to use names without

initial underscores internally as labels without worrying about conflicts),

and the foreign function interface may require you to specify this form

explicitly.

Franz Allegro Common Lisp's "Foreign Function Call Facility" is

described in chapter 10 of the documentation. Calling Lisp Functions

from C is treated in section 10.8.2. The foreign function interface in

Macintosh Common Lisp is similar. The foreign function interface for

KCL is described in chapter 10 of the KCL Report. The foreign function

interfaces for Lucid on the Vax and Lucid on the Sun4 are

incompatible. Lucid's interface is described in chapter 5 of the

Advanced User's Guide.

 221 views

18⟩ What is a "Lisp Machine" (LISPM)?

A Lisp machine (or LISPM) is a computer which has been optimized to run lisp

efficiently and provide a good environment for programming in it. The

original Lisp machines were implemented at MIT, with spinoffs as LMI (defunct)

and Symbolics (bankrupt). Xerox also had a series of Lisp machines

(Dandylion, Dandytiger), as did Texas Instruments (TI Explorer). The

TI and Symbolics Lisp machines are currently available as cards that

fit into Macintosh computers (the so-called "Lisp on a chip").

Optimizations typical of Lisp machines include:

- Hardware Type Checking. Special type bits let the type be checked

efficiently at run-time.

- Hardware Garbage Collection.

- Fast Function Calls.

- Efficient Representation of Lists.

- System Software and Integrated Programming Environments.

For further information, see:

Paul Graham, "Anatomy of a Lisp Machine", AI Expert, December 1988.

Pleszkun and Thazhuthaveetil, "The Architecture of Lisp Machines",

IEEE Computer, March 1987.

Ditzel, Schuler and Thomas, "A Lisp Machine Profile: Symbolics 3650",

AI Expert, January 1987.

Peter M. Kogge, "The Architecture of Symbolic Computers",

McGraw-Hill 1991. ISBN 0-07-035596-7.

 223 views

19⟩ How to improve a Lisp programming style and coding efficiency?

There are several books about Lisp programming style, including:

1. Molly M. Miller and Eric Benson

"Lisp Style and Design"

Digital Press, 1990. 214 pages, ISBN 1-55558-044-0, $26.95.

How to write large Lisp programs and improve Lisp programming

style. Uses the development of Lucid CL as an example.

2. Robin Jones, Clive Maynard, and Ian Stewart.

"The Art of Lisp Programming"

Springer-Verlag, 1989. 169 pages, ISBN 0-387-19568-8 ($33).

3. W. Richard Stark.

"LISP, Lore, and Logic: An Algebraic View of LISP

Programming, Foundations, and Applications"

Springer-Verlag, 1990. 278 pages. ISBN 0-387-97072-X paper ($42).

Self-modifying code, self-reproducing programs, etc.

4. CMU CL User's Manual, Chapter 7, (talks about writing

efficient code). It is available by anonymous ftp from any CMU CS

machine (e.g., ftp.cs.cmu.edu [128.2.206.173]) as the file

/afs/cs.cmu.edu/project/clisp/docs/cmu-user/cmu-user.ps

[when getting this file by anonymous ftp, one must cd to

the directory in one atomic operation, as some of the superior

directories on the path are protected from access by anonymous ftp.]

5. See also Norvig's book, SICP (Abelson & Sussman), SAP

(Springer and Friedman).

6. Hallvard Tretteberg's Lisp Style Guide is available by anonymous

ftp in ftp.think.com:/public/think/lisp/style-guide.text. There is

a fair bit of overlap between Hallvard's style guide and the notes

below and in part 3 of this FAQ.

7. Rajeev Sangal

"Programming Paradigms in Lisp"

McGraw-Hill, 1991. ISBN 0-07-054666-5.

8. Rodney A. Brooks.

"Programming in Common Lisp"

John Wiley & Sons, New York, 1985. 303 pages. ISBN 0-471-81888-7.

Chapter 5 discusses Lisp programming style.

Here are some general suggestions/notes about improving Lisp

programming style, readability, correctness and efficiency:

General Programming Style Rules:

- Write short functions, where each function provides a single,

well-defined operation. Small functions are easier to

read, write, test, debug, and understand.

- Use descriptive variable and function names. If it isn't clear

from the name of a function or variable what its purpose is,

document it with a documentation string and a comment. In fact,

even if the purpose is evident from the name, it is still worth

documenting your code.

- Don't write Pascal (or C) code in Lisp. Use the appropriate

predefined functions -- look in the index to CLtL2, or use the

APROPOS and DESCRIBE functions. Don't put a close parenthesis

on a line by itself -- this can really irritate programmers

who grew up on Lisp. Lisp-oriented text editors include tools

for ensuring balanced parentheses and for moving across

pairs of balanced parentheses. You don't need to stick

comments on close parentheses to mark which expression they close.

- Use proper indentation -- you should be able to understand

the structure of your definitions without noticing the parentheses.

In general, the way one indents a form is controlled by the

first symbol of the form. In DEFUNs, for example, one puts the

symbol DEFUN, the function name, and the argument list all on

the same line. If the argument list is too long, one can break

it at one of the lambda keywords. Following the argument list,

one inserts a carriage return and lists the expressions in the

body of the definition, with each form starting on its own

line indented three spaces relative to the open parenthesis of

the parent (in this case the DEFUN). This general style -- of

putting all the significant elements of a form on a single

line, followed by a carriage return and the indented body --

holds for many Lisp constructs. There are, of course, variations,

such as keeping the first clause on the same line as the COND

or CASE symbol, and the rules are relaxed in different ways to

keep line lengths to a manageable size. If you find yourself having

trouble fitting everything in even with line breaking and

relaxing the rules, either your function names are too long or your

code isn't very modular. You should perceive this as a signal that

you need to break up your big definitions into smaller chunks, each

with a clearly defined purpose, and possibly replace long function

names with concise but apt shorter ones.

- Use whitespace appropriately. Use whitespace to separate

semantically distinct code segments, but don't use too much

whitespace. For example,

GOOD:

(defun foo (x y)

(let ((z (+ x y 10)))

(* z z)))

BAD:

(defun foo(x y)(let((z(+ x y 10)))(* z z)))

(defun foo ( x y )

(let ( ( z (+ x y 10) ) )

( * z z )

)

)

Although the Lisp reader and compiler don't care which you

use, most experienced Lisp programmers find the first example

much easier to read than the last two.

- Don't use line lengths greater than 80 characters. People who

write code using Zmacs on Symbolics Lisp Machines are notoriously

guilty of violating this rule, because the CPT6 font allows

one to squeeze a tremendous amount of code on the display,

especially if one spreads the code out horizontally. This

makes it more difficult to read when printed out or read on

an 80x24 xterm window. In fact, use a line length of 72 characters

because it leaves a strip of white space at the edge of the window.

The following functions often abused or misunderstood by novices.

Think twice before using any of these functions.

- EVAL. Novices almost always misuse EVAL. When experts use

EVAL, they often would be better off using APPLY, FUNCALL, or

SYMBOL-VALUE. Use of EVAL when defining a macro should set off

a warning bell -- macro definitions are already evaluated

during expansion. See also the answer to question 3-12.

The general rule of thumb about EVAL is: if you think you need

to use EVAL, you're probably wrong.

- PROGV. PROGV binds dynamic variables and is often misused in

conjunction with EVAL, which uses the dynamic environment.

In general, avoid unnecessary use of special variables.

PROGV is mainly for writing interpreters for languages embedded

in Lisp. If you want to bind a list of values to a list of

lexical variables, use

(MULTIPLE-VALUE-BIND (..) (VALUES-LIST ..) ..)

or

(MULTIPLE-VALUE-SETQ (..) (VALUES-LIST ..))

instead. Most decent compilers can optimize this expression.

However, use of this idiom is not to be encouraged unless absolutely

necessary.

- CATCH and THROW. Often a named BLOCK and RETURN-FROM are

more appropriate. Use UNWIND-PROTECT when necessary.

- Destructive operations, such as NCONC, SORT, DELETE,

RPLACA, and RPLACD, should be used carefully and sparingly.

In general, trust the garbage collector: allocate new

data structures when you need them.

To improve the readability of your code,

- Don't use any C{A,D}R functions with more than two

letters between the C and the R. When nested, they become

hard to read. If you have complex data structures, you

are often better off describing them with a DEFSTRUCT,

even if the type is LIST. The data abstraction afforded by

DEFSTRUCT makes the code much more readable and its purpose

clearer. If you must use C{A,D}R, try to use

DESTRUCTURING-BIND instead, or at least SECOND, THIRD,

NTH, NTHCDR, etc.

- Use COND instead of IF and PROGN. In general, don't use PROGN if

there is a way to write the code within an implicit

PROGN. For example,

(IF (FOO X)

(PROGN (PRINT "hi there") 23)

34)

should be written using COND instead.

- Never use a 2-argument IF or a 3-argument IF with a second

argument of NIL unless you want to emphasize the return value;

use WHEN and UNLESS instead. You will want to emphasize the

return value when the IF clause is embedded within a SETQ,

such as (SETQ X (IF (EQ Y Z) 2 NIL)). If the second argument

to IF is the same as the first, use OR instead: (OR P Q) rather

than (IF P P Q). Use UNLESS instead of (WHEN (NOT ..) ..)

but not instead of (WHEN (NULL ..) ..).

- Use COND instead of nested IF statements. Be sure to check for

unreachable cases, and eliminate those cond-clauses.

- Use backquote, rather than explicit calls to LIST, CONS, and

APPEND, whenever writing a form which produces a Lisp form, but

not as a general substitute for LIST, CONS and APPEND. LIST,

CONS and APPEND usually allocate new storage, but lists produced

by backquote may involve destructive modification (e.g., ,.).

- Make the names of special (global) variables begin and end

with an asterisk (*): (DEFVAR *GLOBAL-VARIABLE*)

Some programmers will mark the beginning and end of an internal

global variable with a percent (%) or a period (.).

Make the names of constants begin and end with a plus (+):

(DEFCONSTANT +E+ 2.7182818)

This helps distinguish them from lexical variables. Some people

prefer to use macros to define constants, since this avoids

the problem of accidentally trying to bind a symbol declared

with defconstant.

- If your program is built upon an underlying substrate which is

implementation-dependent, consider naming those functions and

macros in a way that visually identifies them, either by placing

them in their own package, or prepending a character like a %, .,

or ! to the function name. Note that many programmers use the

$ as a macro character for slot access, so it should be avoided

unless you're using it for that purpose.

- Don't use property lists. Instead, use an explicit hash table.

This helps avoid problems caused by the symbol being in the wrong

package, accidental reuse of property keys from other

programs, and allows you to customize the structure of the table.

- Use the most specific construct that does the job. This lets

readers of the code see what you intended when writing the code.

For example, don't use SETF if SETQ will do (e.g., for lexical

variables). Using SETQ will tell readers of your code that you

aren't doing anything fancy. Likewise, don't use EQUAL where EQ

will do. Use the most specific predicate to test your conditions.

- If you intend for a function to be a predicate, have it return T

for true, not just non-NIL. If there is nothing worth returning

from a function, returning T is conventional. But if a function

is intended to be more than just a predicate, it is better to

return a useful value. (For example, this is one of the differences

between MEMBER and FIND.)

- When NIL is used as an empty list, use () in your code. When NIL

is used as a boolean, use NIL. Similarly, use NULL to test for an

empty list, NOT to test a logical value. Use ENDP to test for the

end of a list, not NULL.

- Don't use the &AUX lambda-list keyword. It is always clearer to

define local variables using LET or LET*.

- When using RETURN and RETURN-FROM to exit from a block, don't

use (VALUES ..) when returning only one value, except if you

are using it to suppress extra multiple values from the first

argument.

- If you want a function to return no values (i.e., equivalent to

VOID in C), use (VALUES) to return zero values. This signals

to the reader that the function is used mainly for side-effects.

- (VALUES (VALUES 1 2 3)) returns only the first value, 1.

You can use (VALUES (some-multiple-value-function ..)) to suppress

the extra multiple values from the function. Use MULTIPLE-VALUE-PROG1

instead of PROG1 when the multiple values are significant.

- When using MULTIPLE-VALUE-BIND and DESTRUCTURING-BIND, don't rely

on the fact that NIL is used when values are missing. This is

an error in some implementations of DESTRUCTURING-BIND. Instead,

make sure that your function always returns the proper number of

values.

- Type the name of external symbols, functions, and variables

from the COMMON-LISP package in uppercase. This will allow your

code to work properly in a case-sensitive version of Common Lisp,

since the print-names of symbols in the COMMON-LISP package

are uppercase internally. (However, not everybody feels that

being nice to case-sensitive Lisps is a requirement, so this

isn't an absolute style rule, just a suggestion.)

Lisp Idioms:

- MAPCAN is used with a function to return a variable number of

items to be included in an output list. When the function returns zero

or one items, the function serves as a filter. For example,

(mapcan #'(lambda (x) (when (and (numberp x) (evenp x)) (list x)))

'(1 2 3 4 x 5 y 6 z 7))

Documentation:

- Comment your code. Use three semicolons in the left margin before

the definition for major explanations. Use two semicolons that

float with the code to explain the routine that follows. Two

semicolons may also be used to explain the following line when the

comment is too long for the single semicolon treatment. Use

a single semicolon to the right of the code to explain a particular

line with a short comment. The number of semicolons used roughly

corresponds with the length of the comment. Put at least one blank

line before and after top-level expressions.

- Include documentation strings in your code. This lets users

get help while running your program without having to resort to

the source code or printed documentation.

Issues related to macros:

- Never use a macro instead of a function for efficiency reasons.

Declaim the function as inline -- for example,

(DECLAIM (INLINE ..))

This is *not* a magic bullet -- be forewarned that inline

expansions can often increase the code size dramatically. INLINE

should be used only for short functions where the tradeoff is

likely to be worthwhile: inner loops, types that the compiler

might do something smart with, and so on.

- When defining a macro that provides an implicit PROGN, use the

&BODY lambda-list keyword instead of &REST.

- Use gensyms for bindings within a macro, unless the macro lets

the user explicitly specify the variable. For example:

(defmacro foo ((iter-var list) body-form &body body)

(let ((result (gensym "RESULT")))

`(let ((,result nil))

(dolist (,iter-var ,list ,result)

(setq ,result ,body-form)

(when ,result

,@body)))))

This avoids errors caused by collisions during macro expansion

between variable names used in the macro definition and in the

supplied body.

- Use a DO- prefix in the name of a macro that does some kind of

iteration, WITH- when the macro establishes bindings, and

DEFINE- or DEF- when the macro creates some definitions. Don't

use the prefix MAP- in macro names, only in function names.

- Don't create a new iteration macro when an existing function

or macro will do.

- Don't define a macro where a function definition will work just

as well -- remember, you can FUNCALL or MAPCAR a function but

not a macro.

- The LOOP and SERIES macros generate efficient code. If you're

writing a new iteration macro, consider learning to use one

of them instead.

File Modularization:

- If your program involves macros that are used in more than one

file, it is generally a good idea to put such macros in a separate

file that gets loaded before the other files. The same things applies

to primitive functions. If a macro is complicated, the code that

defines the macro should be put into a file by itself. In general, if

a set of definitions form a cohesive and "independent" whole, they

should be put in a file by themselves, and maybe even in their own

package. It isn't unusual for a large Lisp program to have files named

"site-dependent-code", "primitives.lisp", and "macros.lisp". If a file

contains primarily macros, put "-macros" in the name of the file.

Stylistic preferences:

- Use (SETF (CAR ..) ..) and (SETF (CDR ..) ..) in preference to

RPLACA and RPLACD. Likewise (SETF (GET ..) ..) instead of PUT.

- Use INCF, DECF, PUSH and POP instead instead of the corresponding

SETF forms.

- Many programmers religiously avoid using CATCH, THROW, BLOCK,

PROG, GO and TAGBODY. Tags and go-forms should only be necessary

to create extremely unusual and complicated iteration constructs. In

almost every circumstance, a ready-made iteration construct or

recursive implementation is more appropriate.

- Don't use LET* where LET will do. Don't use LABELS where FLET

will do. Don't use DO* where DO will do.

- Don't use DO where DOTIMES or DOLIST will do.

- If you like using MAPCAR instead of DO/DOLIST, use MAPC when

no result is needed -- it's more efficient, since it doesn't

cons up a list. If a single cumulative value is required, use

REDUCE. If you are seeking a particular element, use FIND,

POSITION, or MEMBER.

- If using REMOVE and DELETE to filter a sequence, don't use the

:test-not keyword or the REMOVE-IF-NOT or DELETE-IF-NOT functions.

Use COMPLEMENT to complement the predicate and the REMOVE-IF

or DELETE-IF functions instead.

- Use complex numbers to represent points in a plane.

- Don't use lists where vectors are more appropriate. Accessing the

nth element of a vector is faster than finding the nth element

of a list, since the latter requires pointer chasing while the

former requires simple addition. Vectors also take up less space

than lists. Use adjustable vectors with fill-pointers to

implement a stack, instead of a list -- using a list continually

conses and then throws away the conses.

- When adding an entry to an association list, use ACONS, not

two calls to CONS. This makes it clear that you're using an alist.

- If your association list has more than about 10 entries in it,

consider using a hash table. Hash tables are often more efficient.

(See also [2-2].)

- When you don't need the full power of CLOS, consider using

structures instead. They are often faster, take up less space, and

easier to use.

- Use PRINT-UNREADABLE-OBJECT when writing a print-function.

- Use WITH-OPEN-FILE instead of OPEN and CLOSE.

- When a HANDLER-CASE clause is executed, the stack has already

unwound, so dynamic bindings that existed when the error

occured may no longer exist when the handler is run. Use

HANDLER-BIND if you need this.

- When using CASE and TYPECASE forms, if you intend for the form

to return NIL when all cases fail, include an explicit OTHERWISE

clause. If it would be an error to return NIL when all cases

fail, use ECASE, CCASE, ETYPECASE or CTYPECASE instead.

- Use local variables in preference to global variables whenever

possible. Do not use global variables in lieu of parameter passing.

Global variables can be used in the following circumstances:

* When one function needs to affect the operation of

another, but the second function isn't called by the first.

(For example, *load-pathname* and *break-on-warnings*.)

* When a called function needs to affect the current or future

operation of the caller, but it doesn't make sense to accomplish

this by returning multiple values.

* To provide hooks into the mechanisms of the program.

(For example, *evalhook*, *, /, and +.)

* Parameters which, when their value is changed, represent a

major change to the program.

(For example, *print-level* and *print-readably*.)

* For state that persists between invocations of the program.

Also, for state which is used by more than one major program.

(For example, *package*, *readtable*, *gensym-counter*.)

* To provide convenient information to the user.

(For example, *version* and *features*.)

* To provide customizable defaults.

(For example, *default-pathname-defaults*.)

* When a value affects major portions of a program, and passing

this value around would be extremely awkward. (The example

here is output and input streams for a program. Even when

the program passes the stream around as an argument, if you

want to redirect all output from the program to a different

stream, it is much easier to just rebind the global variable.)

- Beginning students, especially ones accustomed to programming

in C, Pascal, or Fortran, tend to use global variables to hold or pass

information in their programs. This style is considered ugly by

experienced Lisp programmers. Although assignment statements can't

always be avoided in production code, good programmers take advantage

of Lisp's functional programming style before resorting to SETF and

SETQ. For example, they will nest function calls instead of using a

temporary variable and use the stack to pass multiple values. When

first learning to program in Lisp, try to avoid SETF/SETQ and their

cousins as much as possible. And if a temporary variable is necessary,

bind it to its first value in a LET statement, instead of letting it

become a global variable by default. (If you see lots of compiler

warnings about declaring variables to be special, you're probably

making this mistake. If you intend a variable to be global, it should

be defined with a DEFVAR or DEFPARAMETER statement, not left to the

compiler to fix.)

Correctness and efficiency issues:

- In CLtL2, IN-PACKAGE does not evaluate its argument. Use defpackage

to define a package and declare the external (exported)

symbols from the package.

- The ARRAY-TOTAL-SIZE-LIMIT may be as small as 1024, and the

CALL-ARGUMENTS-LIMIT may be as small as 50.

- Novices often mistakenly quote the conditions of a CASE form.

For example, (case x ('a 3) ..) is incorrect. It would return

3 if x were the symbol QUOTE. Use (case x (a 3) ..) instead.

- Avoid using APPLY to flatten lists. Although

(apply #'append list-of-lists)

may look like a call with only two arguments, it becomes a

function call to APPEND, with the LIST-OF-LISTS spread into actual

arguments. As a result it will have as many arguments as there are

elements in LIST-OF-LISTS, and hence may run into problems with the

CALL-ARGUMENTS-LIMIT. Use REDUCE or MAPCAN instead:

(reduce #'append list-of-lists :from-end t)

(mapcan #'copy-list list-of-lists)

The second will often be more efficient (see note below about choosing

the right algorithm). Beware of calls like (apply f (mapcar ..)).

- NTH must cdr down the list to reach the elements you are

interested in. If you don't need the structural flexibility of

lists, try using vectors and the ELT function instead.

- CASE statements can be vectorized if the keys are consecutive

numbers. Such CASE statements can still have OTHERWISE clauses.

To take advantage of this without losing readability, use #. with

symbolic constants:

(eval-when (compile load eval)

(defconstant RED 1)

(defconstant GREEN 2)

(defconstant BLUE 3))

(case color

(#.RED ...)

(#.GREEN ...)

(#.BLUE ...)

...)

- Don't use quoted constants where you might later destructively

modify them. For example, instead of writing '(c d) in

(defun foo ()

(let ((var '(c d)))

..))

write (list 'c 'd) instead. Using a quote here can lead to

unexpected results later. If you later destructively modify the

value of var, this is self-modifying code! Some Lisp compilers

will complain about this, since they like to make constants

read-only. Modifying constants has undefined results in ANSI CL.

See also the answer to question [3-13].

Similarly, beware of shared list structure arising from the use

of backquote. Any sublist in a backquoted expression that doesn't

contain any commas can share with the original source structure.

- Don't proclaim unsafe optimizations, such as

(proclaim '(optimize (safety 0) (speed 3) (space 1)))

since this yields a global effect. Instead, add the

optimizations as local declarations to small pieces of

well-tested, performance-critical code:

(defun well-tested-function ()

(declare (optimize (safety 0) (speed 3) (space 1)))

..)

Such optimizations can remove run-time type-checking; type-checking

is necessary unless you've very carefully checked your code

and added all the appropriate type declarations.

- Some programmers feel that you shouldn't add declarations to

code until it is fully debugged, because incorrect

declarations can be an annoying source of errors. They recommend

using CHECK-TYPE liberally instead while you are developing the code.

On the other hand, if you add declarations to tell the

compiler what you think your code is doing, the compiler can

then tell you when your assumptions are incorrect.

Declarations also make it easier for another programmer to read

your code.

- Declaring the type of variables to be FIXNUM does not

necessarily mean that the results of arithmetic involving the

fixnums will be a fixnum; it could be a BIGNUM. For example,

(declare (type fixnum x y))

(setq z (+ (* x x) (* y y)))

could result in z being a BIGNUM. If you know the limits of your

numbers, use a declaration like

(declare (type (integer 0 100) x y))

instead, since most compilers can then do the appropriate type

inference, leading to much faster code.

- Don't change the compiler optimization with an OPTIMIZE

proclamation or declaration until the code is fully debugged

and profiled. When first writing code you should say

(declare (optimize (safety 3))) regardless of the speed setting.

- Depending on the optimization level of the compiler, type

declarations are interpreted either as (1) a guarantee from

you that the variable is always bound to values of that type,

or (2) a desire that the compiler check that the variable is

always bound to values of that type. Use CHECK-TYPE if (2) is

your intention.

- If you get warnings about unused variables, add IGNORE

declarations if appropriate or fix the problem. Letting such

warnings stand is a sloppy coding practice.

To produce efficient code,

- choose the right algorithm. For example, consider seven possible

implementations of COPY-LIST:

(defun copy-list (list)

(let ((result nil))

(dolist (item list result)

(setf result (append result (list item))))))

(defun copy-list (list)

(let ((result nil))

(dolist (item list (nreverse result))

(push item result))))

(defun copy-list (list)

(mapcar #'identity list))

(defun copy-list (list)

(let ((result (make-list (length list))))

(do ((original list (cdr original))

(new result (cdr new)))

((null original) result)

(setf (car new) (car original)))))

(defun copy-list (list)

(when list

(let* ((result (list (car list)))

(tail-ptr result))

(dolist (item (cdr list) result)

(setf (cdr tail-ptr) (list item))

(setf tail-ptr (cdr tail-ptr))))))

(defun copy-list (list)

(loop for item in list collect item))

(defun copy-list (list)

(if (consp list)

(cons (car list)

(copy-list (cdr list)))

list))

The first uses APPEND to tack the elements onto the end of the list.

Since APPEND must traverse the entire partial list at each step, this

yields a quadratic running time for the algorithm. The second

implementation improves on this by iterating down the list twice; once

to build up the list in reverse order, and the second time to reverse

it. The efficiency of the third depends on the Lisp implementation,

but it is usually similar to the second, as is the fourth. The fifth

algorithm, however, iterates down the list only once. It avoids the

extra work by keeping a pointer (reference) to the last cons of the

list and RPLACDing onto the end of that. Use of the fifth algorithm

may yield a speedup. Note that this contradicts the earlier dictum to

avoid destructive functions. To make more efficient code one might

selectively introduce destructive operations in critical sections of

code. Nevertheless, the fifth implementation may be less efficient in

Lisps with cdr-coding, since it is more expensive to RPLACD cdr-coded

lists. Depending on the implementation of nreverse, however,

the fifth and second implementations may be doing the same

amount of work. The sixth example uses the Loop macro, which usually

expands into code similar to the third. The seventh example copies

dotted lists, and runs in linear time, but isn't tail-recursive.

There is a long-running discussion of whether pushing items

onto a list and then applying NREVERSE to the result is faster or

slower than the alternatives. According to Richard C. Waters (Lisp

Pointers VI(4):27-34, October-December 1993), the NREVERSE strategy is

slightly faster in most Lisp implementations. But the speed difference

either way isn't much, so he argues that one should pursue the option

that yields the clearest and simplest code, namely using NREVERSE.

Here's code for a possible implementation of NREVERSE. As is

evident, most of the alternatives to using NREVERSE involve

essentially the same code, just reorganized.

(defun nreverse (list)

;; REVERSED is the partially reversed list,

;; CURRENT is the current cons cell, which will be reused, and

;; REMAINING are the cons cells which have not yet been reversed.

(do* ((reversed nil)

(current list remaining)

(remaining (cdr current) (cdr current)))

((null current)

reversed)

;; Reuse the cons cell at the head of the list:

;; reversed := ((car remaining) . reversed)

(setf (cdr current) reversed)

(setf reversed current)))

- use type declarations liberally in time-critical code, but

only if you are a seasoned Lisp programmer. Appropriate type

declarations help the compiler generate more specific and

optimized code. It also lets the reader know what assumptions

were made. For example, if you only use fixnum arithmetic,

adding declarations can lead to a significant speedup. If you

are a novice Lisp programmer, you should use type declarations

sparingly, as there may be no checking to see if the

declarations are correct, and optimized code can be harder to

debug. Wrong declarations can lead to errors in otherwise

correct code, and can limit the reuse of code in other

contexts. Depending on the Lisp compiler, it may also

be necessary to declare the type of results using THE, since

some compilers don't deduce the result type from the inputs.

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