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@settitle Revised(5) Scheme

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@ifinfo
@dircategory The Algorithmic Language Scheme
@direntry
* R5RS: (r5rs).         The Revised(5) Report on Scheme.
@end direntry
@end ifinfo


@c \parindent 0pt %!! 15pt                    % Width of paragraph indentation.

 @b{20 February 1998}
@c \hfil \today{}

@c @include{first}
@titlepage

@c HTML first page
@title R5Rs
@subtitle Scheme Revised(5) Report on the Algorithmic Language Scheme
@c  First page

@c \thispagestyle{empty}

@c  \todo{"another" report?}

   
@author Richard Kelsey, William Clinger, and Jonathan Rees (@i{Editors}) 
@author H. Abelson 
@author R. K. Dybvig 
@author C. T. Haynes 
@author G. J. Rozas 
@author N. I. Adams IV 
@author D. P. Friedman 
@author E. Kohlbecker 
@author G. L. Steele Jr. 
@author D. H. Bartley 
@author R. Halstead 
@author D. Oxley 
@author G. J. Sussman 
@author G. Brooks 
@author C. Hanson 
@author K. M. Pitman 
@author M. Wand 
@author @i{Dedicated to the Memory of Robert Hieb} 

@unnumbered Summary

The report gives a defining description of the programming language
Scheme.  Scheme is a statically scoped and properly tail-recursive
dialect of the Lisp programming language invented by Guy Lewis
Steele Jr.@: and Gerald Jay Sussman.  It was designed to have an
exceptionally clear and simple semantics and few different ways to
form expressions.  A wide variety of programming paradigms, including
imperative, functional, and message passing styles, find convenient
expression in Scheme.

The introduction offers a brief history of the language and of
the report.

The first three chapters present the fundamental ideas of the
language and describe the notational conventions used for describing the
language and for writing programs in the language.

Chapters @ref{Expressions} and @ref{Program structure} describe
the syntax and semantics of expressions, programs, and definitions.

Chapter @ref{Standard procedures} describes Scheme's built-in
procedures, which include all of the language's data manipulation and
input/output primitives.

Chapter @ref{Formal syntax and semantics} provides a formal syntax for Scheme
written in extended BNF, along with a formal denotational semantics.
An example of the use of the language follows the formal syntax and
semantics.

The report concludes with a list of references and an
alphabetic index.

@ignore todo
expand the summary so that it fills up the column.
@end ignore


@c \vfill
@c \begin{center}
@c {\large \bf
@c *** DRAFT*** \\
@c %August 31, 1989
@c \today
@c }\end{center}

@c \addvspace{3.5pt}                  % don't shrink this gap
@c \renewcommand{\tocshrink}{-3.5pt}  % value determined experimentally

@page

@end titlepage

@c INFO first page
@ifinfo

@c  First page

@c \thispagestyle{empty}

@c  \todo{"another" report?}

   
@node top, Introduction, (dir), (dir)
@top  Revised(5) Report on the Algorithmic Language   Scheme

@sp 1

@center @c begin-tabular
@quotation
@multitable @columnfractions 0.25 0.25 0.25 0.25
@item 
@center R@sc{ICHARD} K@sc{ELSEY}, W@sc{ILLIAM} C@sc{LINGER, AND} J@sc{ONATHAN} R@sc{EES} (@i{Editors}) 
@item H. A@sc{BELSON}     @tab R. K. D@sc{YBVIG}   @tab C. T. H@sc{AYNES}   @tab G. J. R@sc{OZAS}    
@item N. I. A@sc{DAMS IV} @tab D. P. F@sc{RIEDMAN} @tab E. K@sc{OHLBECKER}  @tab G. L. S@sc{TEELE} J@sc{R}. 
@item D. H. B@sc{ARTLEY}  @tab R. H@sc{ALSTEAD}    @tab D. O@sc{XLEY}      @tab G. J. S@sc{USSMAN}  
@item G. B@sc{ROOKS}            @tab C. H@sc{ANSON}             @tab K. M. P@sc{ITMAN}   @tab M. W@sc{AND}       
@item 
@end multitable
@end quotation


@sp 2

@c  {\it Dedicated to the Memory of ALGOL 60}
@i{Dedicated to the Memory of Robert Hieb} 
@c  [For the macros in R5RS -RK]

@sp 3

@majorheading Summary


The report gives a defining description of the programming language
Scheme.  Scheme is a statically scoped and properly tail-recursive
dialect of the Lisp programming language invented by Guy Lewis
Steele Jr.@: and Gerald Jay Sussman.  It was designed to have an
exceptionally clear and simple semantics and few different ways to
form expressions.  A wide variety of programming paradigms, including
imperative, functional, and message passing styles, find convenient
expression in Scheme.

The introduction offers a brief history of the language and of
the report.

The first three chapters present the fundamental ideas of the
language and describe the notational conventions used for describing the
language and for writing programs in the language.

Chapters @ref{Expressions} and @ref{Program structure} describe
the syntax and semantics of expressions, programs, and definitions.

Chapter @ref{Standard procedures} describes Scheme's built-in
procedures, which include all of the language's data manipulation and
input/output primitives.

Chapter @ref{Formal syntax and semantics} provides a formal syntax for Scheme
written in extended BNF, along with a formal denotational semantics.
An example of the use of the language follows the formal syntax and
semantics.

The report concludes with a list of references and an
alphabetic index.

@ignore todo
expand the summary so that it fills up the column.
@end ignore


@c \vfill
@c \begin{center}
@c {\large \bf
@c *** DRAFT*** \\
@c %August 31, 1989
@c \today
@c }\end{center}

@c \addvspace{3.5pt}                  % don't shrink this gap
@c \renewcommand{\tocshrink}{-3.5pt}  % value determined experimentally

@unnumbered Contents

@menu
* Introduction::                
* Overview of Scheme::          
* Lexical conventions::         
* Basic concepts::              
* Expressions::                 
* Program structure::           
* Standard procedures::         
* Formal syntax and semantics::  
* Notes::                       
* Additional material::         
* Example::                     
* Bibliography::                
* Index::                       
@end menu

@page

@end ifinfo

@c @include{intro}
@node Introduction, Overview of Scheme, top, top
@unnumbered Introduction

@menu
* Background::                  
* Acknowledgements::            
@end menu

Programming languages should be designed not by piling feature on top of
feature, but by removing the weaknesses and restrictions that make additional
features appear necessary.  Scheme demonstrates that a very small number
of rules for forming expressions, with no restrictions on how they are
composed, suffice to form a practical and efficient programming language
that is flexible enough to support most of the major programming
paradigms in use today.

@c Scheme has influenced the evolution of Lisp.
Scheme
was one of the first programming languages to incorporate first class
procedures as in the lambda calculus, thereby proving the usefulness of
static scope rules and block structure in a dynamically typed language.
Scheme was the first major dialect of Lisp to distinguish procedures
from lambda expressions and symbols, to use a single lexical
environment for all variables, and to evaluate the operator position
of a procedure call in the same way as an operand position.  By relying
entirely on procedure calls to express iteration, Scheme emphasized the
fact that tail-recursive procedure calls are essentially goto's that
pass arguments.  Scheme was the first widely used programming language to
embrace first class escape procedures, from which all previously known
sequential control structures can be synthesized.  A subsequent
version of Scheme introduced the concept of exact and inexact numbers,
an extension of Common Lisp's generic arithmetic.
More recently, Scheme became the first programming language to support
hygienic macros, which permit the syntax of a block-structured language
to be extended in a consistent and reliable manner.
@c  A few
@c of these innovations have recently been incorporated into Common Lisp, while
@c others remain to be adopted.

@ignore todo
Ramsdell:
I would like to make a few comments on presentation.  The most
important comment is about section organization.  Newspaper writers
spend most of their time writing the first three paragraphs of any
article.  This part of the article is often the only part read by
readers, and is important in enticing readers to continue.  In the
same way, The first page is most likely to be the only page read by
many SIGPLAN readers.  If I had my choice of what I would ask them to
read, it would be the material in section 1.1, the Semantics section
that notes that scheme is lexically scoped, tail recursive, weakly
typed, ... etc.  I would expand on the discussion on continuations,
as they represent one important difference between Scheme and other
languages.  The introduction, with its history of scheme, its history
of scheme reports and meetings, and acknowledgements giving names of
people that the reader will not likely know, is not that one page I
would like all to read.  I suggest moving the history to the back of
the report, and use the first couple of pages to convince the reader
that the language documented in this report is worth studying.

@end ignore

@node Background, Acknowledgements, Introduction, Introduction
@unnumberedsec Background

The first description of Scheme was written in
1975 [Scheme75].  A revised report [Scheme78]
@ignore todo
italicize or not?
@end ignore
 appeared in 1978, which described the evolution
of the language as its MIT implementation was upgraded to support an
innovative compiler [Rabbit].  Three distinct projects began in
1981 and 1982 to use variants of Scheme for courses at MIT, Yale, and
Indiana University [Rees82], [MITScheme], [Scheme311].  An introductory
computer science textbook using Scheme was published in
1984 [SICP].

@c \vest As might be expected of a language used primarily for education and
@c research, Scheme has always evolved rapidly.  This was no problem when
@c Scheme was used only within MIT, but 
As Scheme became more widespread,
local dialects began to diverge until students and researchers
occasionally found it difficult to understand code written at other
sites.
Fifteen representatives of the major implementations of Scheme therefore
met in October 1984 to work toward a better and more widely accepted
standard for Scheme.
@c Participating in this workshop were Hal Abelson, Norman Adams, David
@c Bartley, Gary Brooks, William Clinger, Daniel Friedman, Robert Halstead,
@c Chris Hanson, Christopher Haynes, Eugene Kohlbecker, Don Oxley, Jonathan Rees,
@c Guillermo Rozas, Gerald Jay Sussman, and Mitchell Wand.  Kent Pitman
@c made valuable contributions to the agenda for the workshop but was
@c unable to attend the sessions.

@c Subsequent electronic mail discussions and committee work completed the
@c definition of the language.
@c Gerry Sussman drafted the section on numbers, Chris Hanson drafted the
@c sections on characters and strings, and Gary Brooks and William Clinger
@c drafted the sections on input and output.
@c William Clinger recorded the decisions of the workshop and
@c compiled the pieces into a coherent document.
@c The ``Revised revised report on Scheme''~\cite{RRRS}
Their report [RRRS]
was published at MIT and Indiana University in the summer of 1985.
Further revision took place in the spring of 1986 [R3RS],
@c , again accomplished
@c almost entirely by electronic mail, resulted in the present report.
and in the spring of 1988 [R4RS].
The present report reflects further revisions agreed upon in a meeting
at Xerox PARC in June 1992.

@c \vest The number 3 in the title is part of the title, not a reference to
@c a footnote.  The word ``revised'' is raised to the third power because
@c the report is a revision of a report that was already twice revised.

@ignore todo
Write an editors' note?
@end ignore

@sp 3

We intend this report to belong to the entire Scheme community, and so
we grant permission to copy it in whole or in part without fee.  In
particular, we encourage implementors of Scheme to use this report as
a starting point for manuals and other documentation, modifying it as
necessary.

@node Acknowledgements,  , Background, Introduction
@unnumberedsec Acknowledgements

We would like to thank the following people for their help: Alan Bawden, Michael
Blair, George Carrette, Andy Cromarty, Pavel Curtis, Jeff Dalton, Olivier Danvy,
Ken Dickey, Bruce Duba, Marc Feeley,
Andy Freeman, Richard Gabriel, Yekta G"ursel, Ken Haase, Robert
Hieb, Paul Hudak, Morry Katz, Chris Lindblad, Mark Meyer, Jim Miller, Jim Philbin,
John Ramsdell, Mike Shaff, Jonathan Shapiro, Julie Sussman,
Perry Wagle, Daniel Weise, Henry Wu, and Ozan Yigit.
We thank Carol Fessenden, Daniel
Friedman, and Christopher Haynes for permission to use text from the Scheme 311
version 4 reference manual.  We thank Texas Instruments, Inc. for permission to
use text from the @emph{TI Scheme Language Reference Manual}[TImanual85].
We gladly acknowledge the influence of manuals for MIT Scheme[MITScheme],
T[Rees84], Scheme 84[Scheme84],Common Lisp[CLtL],
and Algol 60[Naur63].

We also thank Betty Dexter for the extreme effort she put into
setting this report in @TeX{}, and Donald Knuth for designing the program
that caused her troubles.

The Artificial Intelligence Laboratory of the
Massachusetts Institute of Technology, the Computer Science
Department of Indiana University, the Computer and Information
Sciences Department of the University of Oregon, and the NEC Research
Institute supported the preparation of this report.  Support for the MIT
work was provided in part by
the Advanced Research Projects Agency of the Department of Defense under Office
of Naval Research contract N00014-80-C-0505.  Support for the Indiana
University work was provided by NSF grants NCS 83-04567 and NCS
83-03325.

@ifhtml
@chapter Table of contents
@contents
@summarycontents
@end ifhtml

@sp 2

@c \clearchapterstar{Description of the language} %\unskip\vskip -2ex
@c @include{struct}

@c  1. Structure of the language

@node Overview of Scheme, Lexical conventions, Introduction, top
@chapter Overview of Scheme

@menu
* Semantics::                   
* Syntax::                      
* Notation and terminology::    
@end menu


@node Semantics, Syntax, Overview of Scheme, Overview of Scheme
@section Semantics

This section gives an overview of Scheme's semantics.  A
detailed informal semantics is the subject of
chapters @ref{Basic concepts} through @ref{Standard procedures}.  For reference
purposes, section @ref{Formal semantics} provides a formal
semantics of Scheme.

Following Algol, Scheme is a statically scoped programming
language.  Each use of a variable is associated with a lexically
apparent binding of that variable.

Scheme has latent as opposed to manifest types.  Types
are associated with values (also called objects) rather than
@cindex @w{object}
with variables.  (Some authors refer to languages with latent types as
weakly typed or dynamically typed languages.)  Other languages with
latent types are APL, Snobol, and other dialects of Lisp.  Languages
with manifest types (sometimes referred to as strongly typed or
statically typed languages) include Algol 60, Pascal, and C.

All objects created in the course of a Scheme computation, including
procedures and continuations, have unlimited extent.
No Scheme object is ever destroyed.  The reason that
implementations of Scheme do not (usually!) run out of storage is that
they are permitted to reclaim the storage occupied by an object if
they can prove that the object cannot possibly matter to any future
computation.  Other languages in which most objects have unlimited
extent include APL and other Lisp dialects.

Implementations of Scheme are required to be properly tail-recursive.
This allows the execution of an iterative computation in constant space,
even if the iterative computation is described by a syntactically
recursive procedure.  Thus with a properly tail-recursive implementation,
iteration can be expressed using the ordinary procedure-call
mechanics, so that special iteration constructs are useful only as
syntactic sugar.  See section @ref{Proper tail recursion}.

Scheme procedures are objects in their own right.  Procedures can be
created dynamically, stored in data structures, returned as results of
procedures, and so on.  Other languages with these properties include
Common Lisp and ML. 
@ignore todo
Rozas: Scheme had them first.
@end ignore

One distinguishing feature of Scheme is that continuations, which
in most other languages only operate behind the scenes, also have
``first-class'' status.  Continuations are useful for implementing a
wide variety of advanced control constructs, including non-local exits,
backtracking, and coroutines.  See section @ref{Control features}.

Arguments to Scheme procedures are always passed by value, which
means that the actual argument expressions are evaluated before the
procedure gains control, whether the procedure needs the result of the
evaluation or not.  ML, C, and APL are three other languages that always
pass arguments by value.
This is distinct from the lazy-evaluation semantics of Haskell,
or the call-by-name semantics of Algol 60, where an argument
expression is not evaluated unless its value is needed by the
procedure.

@ignore todo
Lisp's call by value should be explained more
accurately.  What's funny is that all values are references.
@end ignore

Scheme's model of arithmetic is designed to remain as independent as
possible of the particular ways in which numbers are represented within a
computer. In Scheme, every integer is a rational number, every rational is a
real, and every real is a complex number.  Thus the distinction between integer
and real arithmetic, so important to many programming languages, does not
appear in Scheme.  In its place is a distinction between exact arithmetic,
which corresponds to the mathematical ideal, and inexact arithmetic on
approximations.  As in Common Lisp, exact arithmetic is not limited to
integers.

@node Syntax, Notation and terminology, Semantics, Overview of Scheme
@section Syntax

Scheme, like most dialects of Lisp, employs a fully parenthesized prefix
notation for programs and (other) data; the grammar of Scheme generates a
sublanguage of the language used for data.  An important
consequence of this simple, uniform representation is the susceptibility of
Scheme programs and data to uniform treatment by other Scheme programs.
For example, the @samp{eval} procedure evaluates a Scheme program expressed
as data.

The @samp{read} procedure performs syntactic as well as lexical decomposition of
the data it reads.  The @samp{read} procedure parses its input as data
(section @pxref{External representation}), not as program.

The formal syntax of Scheme is described in section @ref{Formal syntax}.

@node Notation and terminology,  , Syntax, Overview of Scheme
@section Notation and terminology

@menu
* Primitive; library; and optional features::  
* Error situations and unspecified behavior::  
* Entry format::                
* Evaluation examples::         
* Naming conventions::          
@end menu

@node Primitive; library; and optional features, Error situations and unspecified behavior, Notation and terminology, Notation and terminology
@subsection Primitive; library; and optional features

It is required that every implementation of Scheme support all
features that are not marked as being @dfn{optional}.  Implementations are
@cindex @w{optional}
free to omit optional features of Scheme or to add extensions,
provided the extensions are not in conflict with the language reported
here.  In particular, implementations must support portable code by
providing a syntactic mode that preempts no lexical conventions of this
report.

To aid in understanding and implementing Scheme, some features are marked
as @dfn{library}. These can be easily implemented in terms of the other,
@cindex @w{library}
primitive, features.  They are redundant in the strict sense of
the word, but they capture common patterns of usage, and are therefore
provided as convenient abbreviations.

@node Error situations and unspecified behavior, Entry format, Primitive; library; and optional features, Notation and terminology
@subsection Error situations and unspecified behavior

@cindex @w{error}
When speaking of an error situation, this report uses the phrase ``an
error is signalled'' to indicate that implementations must detect and
report the error.  If such wording does not appear in the discussion of
an error, then implementations are not required to detect or report the
error, though they are encouraged to do so.  An error situation that
implementations are not required to detect is usually referred to simply
as ``an error.''

For example, it is an error for a procedure to be passed an argument that
the procedure is not explicitly specified to handle, even though such
domain errors are seldom mentioned in this report.  Implementations may
extend a procedure's domain of definition to include such arguments.

This report uses the phrase ``may report a violation of an
implementation restriction'' to indicate circumstances under which an
implementation is permitted to report that it is unable to continue
execution of a correct program because of some restriction imposed by the
implementation.  Implementation restrictions are of course discouraged,
but implementations are encouraged to report violations of implementation
restrictions.
@cindex @w{implementation restriction}

For example, an implementation may report a violation of an
implementation restriction if it does not have enough storage to run a
program.

If the value of an expression is said to be ``unspecified,'' then
the expression must evaluate to some object without signalling an error,
but the value depends on the implementation; this report explicitly does
not say what value should be returned. 
@cindex @w{unspecified}

@ignore todo
Talk about unspecified behavior vs. unspecified values.
@end ignore

@ignore todo
Look at KMP's situations paper.
@end ignore

@node Entry format, Evaluation examples, Error situations and unspecified behavior, Notation and terminology
@subsection Entry format

Chapters @ref{Expressions} and @ref{Standard procedures} are organized
into entries.  Each entry describes one language feature or a group of
related features, where a feature is either a syntactic construct or a
built-in procedure.  An entry begins with one or more header lines of the form

@noindent
@deffn {@var{category}} @var{template}

@end deffn

for required, primitive features, or

@noindent
@deffn {@var{qualifier} @var{category}} @var{template}

@end deffn

where @var{qualifier} is either ``library'' or ``optional'' as defined
 in section @ref{Primitive; library; and optional features}.

If @var{category} is ``syntax'', the entry describes an expression
type, and the template gives the syntax of the expression type.
Components of expressions are designated by syntactic variables, which
are written using angle brackets, for example, @r{<expression>},
@r{<variable>}.  Syntactic variables should be understood to denote segments of
program text; for example, @r{<expression>} stands for any string of
characters which is a syntactically valid expression.  The notation

@format
 @r{<thing1>} @dots{}
@end format

indicates zero or more occurrences of a @r{<thing>}, and

@format
 @r{<thing1>} @r{<thing2>} @dots{}
@end format

indicates one or more occurrences of a @r{<thing>}.

If @var{category} is ``procedure'', then the entry describes a procedure, and
the header line gives a template for a call to the procedure.  Argument
names in the template are @var{italicized}.  Thus the header line


@noindent
@deffn {procedure} vector-ref @var{vector} @var{k}

@end deffn

indicates that the built-in procedure @t{vector-ref} takes
two arguments, a vector @var{vector} and an exact non-negative integer
@var{k} (see below).  The header lines

@noindent

@deffn {procedure} make-vector @var{k}

@deffnx {procedure} make-vector @var{k} @var{fill}

@end deffn

indicate that the @t{make-vector} procedure must be defined to take
either one or two arguments.

It is an error for an operation to be presented with an argument that it
is not specified to handle.  For succinctness, we follow the convention
that if an argument name is also the name of a type listed in
section @ref{Disjointness of types}, then that argument must be of the named type.
For example, the header line for @t{vector-ref} given above dictates that the
first argument to @t{vector-ref} must be a vector.  The following naming
conventions also imply type restrictions:
@c \newcommand{\foo}[1]{\vr{#1}, \vri{#1}, $\ldots$ \vrj{#1}, $\ldots$}


@node Evaluation examples, Naming conventions, Entry format, Notation and terminology
@subsection Evaluation examples

The symbol ``@result{}'' used in program examples should be read
``evaluates to.''  For example,

@smalllisp
(* 5 8)                                @result{}  40
@end smalllisp

means that the expression @t{(* 5 8)} evaluates to the object @t{40}.
Or, more precisely:  the expression given by the sequence of characters
``@t{(* 5 8)}'' evaluates, in the initial environment, to an object
that may be represented externally by the sequence of characters ``@t{40}''.  See section @ref{External representations} for a discussion of external
representations of objects.

@node Naming conventions,  , Evaluation examples, Notation and terminology
@subsection Naming conventions

By convention, the names of procedures that always return a boolean
value usually end
in ``@code{?}''.  Such procedures are called predicates.
@cindex @w{?}

By convention, the names of procedures that store values into previously
allocated locations (see section @pxref{Storage model}) usually end in
``@code{!}''.
@cindex @w{!}
Such procedures are called mutation procedures.
By convention, the value returned by a mutation procedure is unspecified.

By convention, ``@code{->}'' appears within the names of procedures that
@cindex @w{->}
take an object of one type and return an analogous object of another type.
For example, @samp{list->vector} takes a list and returns a vector whose
elements are the same as those of the list.

@ignore todo
Terms that need defining: thunk, command (what else?).
@end ignore
@c @include{lex}

@c  Lexical structure

@c %\vfill\eject
@node Lexical conventions, Basic concepts, Overview of Scheme, top
@chapter Lexical conventions

@menu
* Identifiers::                 
* Whitespace and comments::     
* Other notations::             
@end menu

This section gives an informal account of some of the lexical
conventions used in writing Scheme programs.  For a formal syntax of
Scheme, see section @ref{Formal syntax}.

Upper and lower case forms of a letter are never distinguished
except within character and string constants.  For example, @samp{Foo} is
the same identifier as @samp{FOO}, and @t{#x1AB} is the same number as
@t{#X1ab}.

@node Identifiers, Whitespace and comments, Lexical conventions, Lexical conventions
@section Identifiers

Most identifiers allowed by other programming
@cindex @w{identifier}
languages are also acceptable to Scheme.  The precise rules for forming
identifiers vary among implementations of Scheme, but in all
implementations a sequence of letters, digits, and ``extended alphabetic
characters'' that begins with a character that cannot begin a number is
an identifier.  In addition, @code{+}, @code{-}, and @code{...} are identifiers. 
@cindex @w{...}
@cindex @w{-}
@cindex @w{+}
Here are some examples of identifiers:

@smalllisp
lambda                   q
list->vector             soup
+                        V17a
<=?                      a34kTMNs
the-word-recursion-has-many-meanings
@end smalllisp

Extended alphabetic characters may be used within identifiers as if
they were letters.  The following are extended alphabetic characters:

@smalllisp
! $ % & * + - . / : < = > ? @@ ^ _ ~ 
@end smalllisp

See section @ref{Lexical structure} for a formal syntax of identifiers.

Identifiers have two uses within Scheme programs:

@itemize @bullet

@item
Any identifier may be used as a variable
or as a syntactic keyword
(see sections @ref{Variables; syntactic keywords; and regions} and @ref{Macros}).

@item
When an identifier appears as a literal or within a literal
(see section @ref{Literal expressions}), it is being used to denote a @emph{symbol}
(see section @ref{Symbols}).

@end itemize

@cindex @w{syntactic keyword}
@cindex @w{variable}

@c \label{keywordsection}
@c The following identifiers are syntactic keywords, and should not be used
@c as variables:

@c \begin{scheme}
@c =>           do            or
@c and          else          quasiquote
@c begin        if            quote
@c case         lambda        set!
@c cond         let           unquote
@c define       let*          unquote-splicing
@c delay        letrec%
@c \end{scheme}

@c Some implementations allow all identifiers, including syntactic
@c keywords, to be used as variables.  This is a compatible extension to
@c the language, but ambiguities in the language result when the
@c restriction is relaxed, and the ways in which these ambiguities are
@c resolved vary between implementations.

@node Whitespace and comments, Other notations, Identifiers, Lexical conventions
@section Whitespace and comments

@dfn{Whitespace} characters are spaces and newlines.
@cindex @w{Whitespace}
(Implementations typically provide additional whitespace characters such
as tab or page break.)  Whitespace is used for improved readability and
as necessary to separate tokens from each other, a token being an
indivisible lexical unit such as an identifier or number, but is
otherwise insignificant.  Whitespace may occur between any two tokens,
but not within a token.  Whitespace may also occur inside a string,
where it is significant.

A semicolon (@t{;}) indicates the start of a
comment.  The comment continues to the
@cindex @w{;}
@cindex @w{comment}
end of the line on which the semicolon appears.  Comments are invisible
to Scheme, but the end of the line is visible as whitespace.  This
prevents a comment from appearing in the middle of an identifier or
number.

@smalllisp
;;; The FACT procedure computes the factorial
;;; of a non-negative integer.
(define fact
  (lambda (n)
    (if (= n 0)
        1        ;Base case: return 1
        (* n (fact (- n 1))))))
@end smalllisp

@node Other notations,  , Whitespace and comments, Lexical conventions
@section Other notations

@ignore todo
Rewrite?
@end ignore

For a description of the notations used for numbers, see
section @ref{Numbers}.

@table @t

@item @t{.@: + -}
These are used in numbers, and may also occur anywhere in an identifier
except as the first character.  A delimited plus or minus sign by itself
is also an identifier.
A delimited period (not occurring within a number or identifier) is used
in the notation for pairs (section @ref{Pairs and lists}), and to indicate a
rest-parameter in a  formal parameter list (section @ref{Procedures}).
A delimited sequence of three successive periods is also an identifier.

@item @t{( )}
Parentheses are used for grouping and to notate lists
(section @ref{Pairs and lists}).

@item @t{'}
The single quote character is used to indicate literal data (section @ref{Literal expressions}).

@item @t{`}
The backquote character is used to indicate almost-constant
data (section @ref{Quasiquotation}).

@item @t{, ,@@}
The character comma and the sequence comma at-sign are used in conjunction
with backquote (section @ref{Quasiquotation}).

@item @t{"}
The double quote character is used to delimit strings (section @ref{Strings}).

@item \
Backslash is used in the syntax for character constants
(section @ref{Characters}) and as an escape character within string
constants (section @ref{Strings}).

@c  A box used because \verb is not allowed in command arguments.

@item @w{@t{[ ] @{ @} |}}
Left and right square brackets and curly braces and vertical bar
are reserved for possible future extensions to the language.

@item #
 Sharp sign is used for a variety of purposes depending on
the character that immediately follows it:

@item @t{#t} @t{#f}
These are the boolean constants (section @ref{Booleans}).

@item #\
This introduces a character constant (section @ref{Characters}).

@item #@t{(}
This introduces a vector constant (section @ref{Vectors}).  Vector constants
are terminated by @t{)} .

@item @t{#e #i #b #o #d #x #l}
These are used in the notation for numbers (section @ref{Syntax of numerical constants}).

@end table

@c @include{basic}

@c \vfill\eject
@node Basic concepts, Expressions, Lexical conventions, top
@chapter Basic concepts

@menu
* Variables; syntactic keywords; and regions::  
* Disjointness of types::       
* External representations::    
* Storage model::               
* Proper tail recursion::       
@end menu

@node Variables; syntactic keywords; and regions, Disjointness of types, Basic concepts, Basic concepts
@section Variables; syntactic keywords; and regions

An identifier may name a type of syntax, or it may name
@cindex @w{identifier}
a location where a value can be stored.  An identifier that names a type
of syntax is called a @emph{syntactic keyword}
@cindex @w{syntactic keyword}
and is said to be @emph{bound} to that syntax.  An identifier that names a
location is called a @emph{variable} and is said to be
@cindex @w{variable}
@emph{bound} to that location.  The set of all visible
bindings in effect at some point in a program is
@cindex @w{binding}
known as the @emph{environment} in effect at that point.  The value
stored in the location to which a variable is bound is called the
variable's value.  By abuse of terminology, the variable is sometimes
said to name the value or to be bound to the value.  This is not quite
accurate, but confusion rarely results from this practice.

@ignore todo
Define ``assigned'' and ``unassigned'' perhaps?
@end ignore

@ignore todo
In programs without side effects, one can safely pretend that the
variables are bound directly to the arguments.  Or:
In programs without @code{set!}, one can safely pretend that the
@cindex @w{set!}
variable is bound directly to the value. 
@end ignore

Certain expression types are used to create new kinds of syntax
and bind syntactic keywords to those new syntaxes, while other
expression types create new locations and bind variables to those
locations.  These expression types are called @emph{binding constructs}.

@cindex @w{binding construct}
Those that bind syntactic keywords are listed in section @ref{Macros}.
The most fundamental of the variable binding constructs is the
@samp{lambda} expression, because all other variable binding constructs
can be explained in terms of @samp{lambda} expressions.  The other
variable binding constructs are @samp{let}, @samp{let*}, @samp{letrec},
and @samp{do} expressions (see sections @ref{Procedures}, @ref{Binding constructs}, and
@ref{Iteration}).

@c Note: internal definitions not mentioned here.

Like Algol and Pascal, and unlike most other dialects of Lisp
except for Common Lisp, Scheme is a statically scoped language with
block structure.  To each place where an identifier is bound in a program
there corresponds a @dfn{region} of the program text within which
@cindex @w{region}
the binding is visible.  The region is determined by the particular
binding construct that establishes the binding; if the binding is
established by a @samp{lambda} expression, for example, then its region
is the entire @samp{lambda} expression.  Every mention of an identifier
refers to the binding of the identifier that established the
innermost of the regions containing the use.  If there is no binding of
the identifier whose region contains the use, then the use refers to the
binding for the variable in the top level environment, if any
(chapters @ref{Expressions} and @ref{Standard procedures}); if there is no
binding for the identifier,
it is said to be @dfn{unbound}.
@cindex @w{top level environment}
@cindex @w{bound}
@cindex @w{unbound}

@ignore todo
Mention that some implementations have multiple top level environments?
@end ignore

@ignore todo
Pitman sez: needs elaboration in case of @t{(let ...)}
@end ignore

@ignore todo
Pitman asks: say something about vars created after scheme starts?
@t{(define x 3) (define (f) x) (define (g) y) (define y 4)}
Clinger replies: The language was explicitly
designed to permit a view in which no variables are created after
Scheme starts.  In files, you can scan out the definitions beforehand.
I think we're agreed on the principle that interactive use should
approximate that behavior as closely as possible, though we don't yet
agree on which programming environment provides the best approximation.
@end ignore

@node Disjointness of types, External representations, Variables; syntactic keywords; and regions, Basic concepts
@section Disjointness of types

No object satisfies more than one of the following predicates:

@smalllisp
boolean?          pair?
symbol?           number?
char?             string?
vector?           port?
procedure?
@end smalllisp

These predicates define the types @emph{boolean}, @emph{pair}, @emph{symbol}, @emph{number}, @emph{char} (or @emph{character}), @emph{string}, @emph{vector}, @emph{port}, and @emph{procedure}.  The empty list is a special
object of its own type; it satisfies none of the above predicates.

@cindex symbol?
@cindex pair?
@cindex boolean?
@cindex @w{type}

@cindex vector?
@cindex string?
@cindex char?
@cindex number?

@cindex @w{empty list}
@cindex procedure?
@cindex port?

Although there is a separate boolean type,
any Scheme value can be used as a boolean value for the purpose of a
conditional test.  As explained in section @ref{Booleans}, all
values count as true in such a test except for @t{#f}.
@c  and possibly the empty list.
@c  The only value that is guaranteed to count as
@c  false is \schfalse{}.  It is explicitly unspecified whether the empty list
@c  counts as true or as false.
This report uses the word ``true'' to refer to any
Scheme value except @t{#f}, and the word ``false'' to refer to
@t{#f}.  
@cindex @w{false}
@cindex @w{true}

@node External representations, Storage model, Disjointness of types, Basic concepts
@section External representations

An important concept in Scheme (and Lisp) is that of the @emph{external
representation} of an object as a sequence of characters.  For example,
an external representation of the integer 28 is the sequence of
characters ``@t{28}'', and an external representation of a list consisting
of the integers 8 and 13 is the sequence of characters ``@t{(8 13)}''.

The external representation of an object is not necessarily unique.  The
integer 28 also has representations ``@t{#e28.000}'' and ``@t{#x1c}'', and the
list in the previous paragraph also has the representations ``@t{( 08 13
)}'' and ``@t{(8 .@: (13 .@: ()))}'' (see section @ref{Pairs and lists}).

Many objects have standard external representations, but some, such as
procedures, do not have standard representations (although particular
implementations may define representations for them).

An external representation may be written in a program to obtain the
corresponding object (see @samp{quote}, section @ref{Literal expressions}).

External representations can also be used for input and output.  The
procedure @samp{read} (section @ref{Input}) parses external
representations, and the procedure @samp{write} (section @ref{Output})
generates them.  Together, they provide an elegant and powerful
input/output facility.

Note that the sequence of characters ``@t{(+ 2 6)}'' is @emph{not} an
external representation of the integer 8, even though it @emph{is} an
expression evaluating to the integer 8; rather, it is an external
representation of a three-element list, the elements of which are the symbol
@t{+} and the integers 2 and 6.  Scheme's syntax has the property that
any sequence of characters that is an expression is also the external
representation of some object.  This can lead to confusion, since it may
not be obvious out of context whether a given sequence of characters is
intended to denote data or program, but it is also a source of power,
since it facilitates writing programs such as interpreters and
compilers that treat programs as data (or vice versa).

The syntax of external representations of various kinds of objects
accompanies the description of the primitives for manipulating the
objects in the appropriate sections of chapter @ref{Standard procedures}.

@node Storage model, Proper tail recursion, External representations, Basic concepts
@section Storage model

Variables and objects such as pairs, vectors, and strings implicitly
denote locations or sequences of locations.  A string, for
@cindex @w{location}
example, denotes as many locations as there are characters in the string. 
(These locations need not correspond to a full machine word.) A new value may be
stored into one of these locations using the @t{string-set!} procedure, but
the string continues to denote the same locations as before.

An object fetched from a location, by a variable reference or by
a procedure such as @samp{car}, @samp{vector-ref}, or @samp{string-ref}, is
equivalent in the sense of @code{eqv?} 
@c  and \ide{eq?} ??
(section @ref{Equivalence predicates})
@cindex @w{eqv?}
to the object last stored in the location before the fetch.

Every location is marked to show whether it is in use.
No variable or object ever refers to a location that is not in use.
Whenever this report speaks of storage being allocated for a variable
or object, what is meant is that an appropriate number of locations are
chosen from the set of locations that are not in use, and the chosen
locations are marked to indicate that they are now in use before the variable
or object is made to denote them.

In many systems it is desirable for constants (i.e. the values of
@cindex @w{constant}
literal expressions) to reside in read-only-memory.  To express this, it is
convenient to imagine that every object that denotes locations is associated
with a flag telling whether that object is mutable or
@cindex @w{mutable}
immutable.  In such systems literal constants and the strings
@cindex @w{immutable}
returned by @code{symbol->string} are immutable objects, while all objects
@cindex @w{symbol->string}
created by the other procedures listed in this report are mutable.  It is an
error to attempt to store a new value into a location that is denoted by an
immutable object.

@node Proper tail recursion,  , Storage model, Basic concepts
@section Proper tail recursion

Implementations of Scheme are required to be
@emph{properly tail-recursive}.
@cindex @w{proper tail recursion}
Procedure calls that occur in certain syntactic
contexts defined below are `tail calls'.  A Scheme implementation is
properly tail-recursive if it supports an unbounded number of active
tail calls.  A call is @emph{active} if the called procedure may still
return.  Note that this includes calls that may be returned from either
by the current continuation or by continuations captured earlier by
@samp{call-with-current-continuation} that are later invoked.
In the absence of captured continuations, calls could
return at most once and the active calls would be those that had not
yet returned.
A formal definition of proper tail recursion can be found
in [propertailrecursion].

@sp 1
@emph{Rationale:}

Intuitively, no space is needed for an active tail call because the
continuation that is used in the tail call has the same semantics as the
continuation passed to the procedure containing the call.  Although an improper
implementation might use a new continuation in the call, a return
to this new continuation would be followed immediately by a return
to the continuation passed to the procedure.  A properly tail-recursive
implementation returns to that continuation directly.

Proper tail recursion was one of the central ideas in Steele and
Sussman's original version of Scheme.  Their first Scheme interpreter
implemented both functions and actors.  Control flow was expressed using
actors, which differed from functions in that they passed their results
on to another actor instead of returning to a caller.  In the terminology
of this section, each actor finished with a tail call to another actor.

Steele and Sussman later observed that in their interpreter the code
for dealing with actors was identical to that for functions and thus
there was no need to include both in the language.

A @emph{tail call} is a procedure call that occurs
@cindex @w{tail call}
in a @emph{tail context}.  Tail contexts are defined inductively.  Note
that a tail context is always determined with respect to a particular lambda
expression.

@itemize @bullet

@item
The last expression within the body of a lambda expression,
shown as @r{<tail expression>} below, occurs in a tail context.

@format
@t{(lambda <formals>
  <definition>* <expression>* <tail expression>)
}
@end format

@item
If one of the following expressions is in a tail context,
then the subexpressions shown as <tail expression> are in a tail context.
These were derived from rules in the grammar given in
chapter @ref{Formal syntax and semantics} by replacing some occurrences of <expression>
with <tail expression>.  Only those rules that contain tail contexts
are shown here.

@example
(if <expression> <tail expression> <tail expression>)
(if <expression> <tail expression>)

(cond <cond clause>+)
(cond <cond clause>* (else <tail sequence>))

(case <expression>
  <case clause>+)
(case <expression>
  <case clause>*
  (else <tail sequence>))

(and <expression>* <tail expression>)
(or <expression>* <tail expression>)

(let (<binding spec>*) <tail body>)
(let <variable> (<binding spec>*) <tail body>)
(let* (<binding spec>*) <tail body>)
(letrec (<binding spec>*) <tail body>)

(let-syntax (<syntax spec>*) <tail body>)
(letrec-syntax (<syntax spec>*) <tail body>)

(begin <tail sequence>)

(do (<iteration spec>*)
    (<test> <tail sequence>)
  <expression>*)
@end example

@sp 1
where

@example
<cond clause> --> (<test> <tail sequence>)
<case clause> --> ((<datum>*) <tail sequence>)

<tail body> --> <definition>* <tail sequence>
<tail sequence> --> <expression>* <tail expression>
@end example

@item 
If a @samp{cond} expression is in a tail context, and has a clause of
the form @samp{(@r{<expression1>} => @r{<expression2>})}
then the (implied) call to
the procedure that results from the evaluation of @r{<expression2>} is in a
tail context.  @r{<expression2>} itself is not in a tail context.
@end itemize

Certain built-in procedures are also required to perform tail calls.
The first argument passed to @code{apply} and to
@cindex @w{apply}
@code{call-with-current-continuation}, and the second argument passed to
@cindex @w{call-with-current-continuation}
@code{call-with-values}, must be called via a tail call.
@cindex @w{call-with-values}
Similarly, @code{eval} must evaluate its argument as if it
@cindex @w{eval}
were in tail position within the @code{eval} procedure.
@cindex @w{eval}

In the following example the only tail call is the call to @samp{f}.
None of the calls to @samp{g} or @samp{h} are tail calls.  The reference to
@samp{x} is in a tail context, but it is not a call and thus is not a
tail call.

@smalllisp
(lambda ()
  (if (g)
      (let ((x (h)))
        x)
      (and (g) (f))))
@end smalllisp

@emph{Note:}
Implementations are allowed, but not required, to
recognize that some non-tail calls, such as the call to @samp{h}
above, can be evaluated as though they were tail calls.
In the example above, the @samp{let} expression could be compiled
as a tail call to @samp{h}. (The possibility of @samp{h} returning
an unexpected number of values can be ignored, because in that
case the effect of the @samp{let} is explicitly unspecified and
implementation-dependent.)
       
@c @include{expr}

@c \vfill\eject
@node Expressions, Program structure, Basic concepts, top
@chapter Expressions

@menu
* Primitive expression types::  
* Derived expression types::    
* Macros::                      
@end menu

@c \newcommand{\syntax}{{\em Syntax: }}
@c \newcommand{\semantics}{{\em Semantics: }}

@c [Deleted for R5RS because of multiple-value returns. -RK]
@c A Scheme expression is a construct that returns a value, such as a
@c variable reference, literal, procedure call, or conditional.

Expression types are categorized as @emph{primitive} or @emph{derived}.
Primitive expression types include variables and procedure calls.
Derived expression types are not semantically primitive, but can instead
be defined as macros.
With the exception of @samp{quasiquote}, whose macro definition is complex,
the derived expressions are classified as library features.
Suitable definitions are given in section @ref{Derived expression types}.

@node Primitive expression types, Derived expression types, Expressions, Expressions
@section Primitive expression types

@menu
* Variable references::         
* Literal expressions::         
* Procedure calls::             
* Procedures::                  
* Conditionals::                
* Assignments::                 
@end menu

@node Variable references, Literal expressions, Primitive expression types, Primitive expression types
@subsection Variable references

@deffn {syntax} @r{<variable>}
An expression consisting of a variable
@cindex @w{variable}
(section @ref{Variables; syntactic keywords; and regions}) is a variable reference.  The value of
the variable reference is the value stored in the location to which the
variable is bound.  It is an error to reference an
unbound variable.
@cindex @w{unbound}

@smalllisp
(define x 28)
x                                      @result{}  28
@end smalllisp
@end deffn

@node Literal expressions, Procedure calls, Variable references, Primitive expression types
@subsection Literal expressions

@deffn {syntax} quote  @r{<datum>}
@deffnx {syntax} @t{'}@r{<datum>}
@deffnx {syntax} @r{<constant>}
@samp{(quote @r{<datum>})} evaluates to @r{<datum>}.
@cindex @w{'}
@r{<Datum>}
may be any external representation of a Scheme object (see
section @ref{External representations}).  This notation is used to include literal
constants in Scheme code.

@smalllisp
(quote a)                              @result{}  a
(quote #(a b c))                       @result{}  #(a b c)
(quote (+ 1 2))                        @result{}  (+ 1 2)
@end smalllisp

@samp{(quote @r{<datum>})} may be abbreviated as
@t{'}@r{<datum>}.  The two notations are equivalent in all
respects.

@smalllisp
'a                                     @result{}  a
'#(a b c)                              @result{}  #(a b c)
'()                                    @result{}  ()
'(+ 1 2)                               @result{}  (+ 1 2)
'(quote a)                             @result{}  (quote a)
''a                                    @result{}  (quote a)
@end smalllisp

Numerical constants, string constants, character constants, and boolean
constants evaluate ``to themselves''; they need not be quoted.

@smalllisp
'"abc"                                 @result{}  "abc"
"abc"                                  @result{}  "abc"
'145932                                @result{}  145932
145932                                 @result{}  145932
'#t                                    @result{}  #t
#t                                     @result{}  #t
@end smalllisp

As noted in section @ref{Storage model}, it is an error to alter a constant
(i.e. the value of a literal expression) using a mutation procedure like
@samp{set-car!} or @samp{string-set!}.
@end deffn

@node Procedure calls, Procedures, Literal expressions, Primitive expression types
@subsection Procedure calls
@deffn {syntax} @r{<operator>} @r{<operand1>} @dots{},

A procedure call is written by simply enclosing in parentheses
expressions for the procedure to be called and the arguments to be
passed to it.  The operator and operand expressions are evaluated (in an
unspecified order) and the resulting procedure is passed the resulting
arguments.
@cindex @w{procedure call}
@cindex @w{call}

@smalllisp
(+ 3 4)                                @result{}  7
((if #f + *) 3 4)                      @result{}  12
@end smalllisp

A number of procedures are available as the values of variables in the
initial environment; for example, the addition and multiplication
procedures in the above examples are the values of the variables @samp{+}
and @samp{*}.  New procedures are created by evaluating lambda expressions
(see section @ref{Procedures}).
@ignore todo
At Friedman's request, flushed mention of other ways.
@end ignore

@c  or definitions (see section~\ref{define}).

Procedure calls may return any number of values (see @code{values} in
@cindex @w{values}
section @ref{Control features}).  With the exception of @samp{values}
the procedures available in the initial environment return one
value or, for procedures such as @samp{apply}, pass on the values returned
by a call to one of their arguments.

Procedure calls are also called @emph{combinations}.

@cindex @w{combination}

@quotation
@emph{Note:} In contrast to other dialects of Lisp, the order of
evaluation is unspecified, and the operator expression and the operand
expressions are always evaluated with the same evaluation rules.
@end quotation

@quotation
@emph{Note:}
Although the order of evaluation is otherwise unspecified, the effect of
any concurrent evaluation of the operator and operand expressions is
constrained to be consistent with some sequential order of evaluation.
The order of evaluation may be chosen differently for each procedure call.
@end quotation

@quotation
@emph{Note:} In many dialects of Lisp, the empty combination, @t{()}, is a legitimate expression.  In Scheme, combinations must have at
least one subexpression, so @t{()} is not a syntactically valid
expression.  
@ignore todo
Dybvig: ``it should be obvious from the syntax.''
@end ignore
@end quotation

@ignore todo
Freeman:
I think an explanation as to why evaluation order is not specified
should be included.  It should not include any reference to parallel
evaluation.  Does any existing compiler generate better code because
the evaluation order is unspecified?  Clinger: yes: T3, MacScheme v2,
probably MIT Scheme and Chez Scheme.  But that's not the main reason
for leaving the order unspecified.
@end ignore
@end deffn

@node Procedures, Conditionals, Procedure calls, Primitive expression types
@subsection Procedures
@deffn {syntax} lambda  @r{<formals>} @r{<body>}

@emph{Syntax:}
@r{<Formals>} should be a formal arguments list as described below,
and @r{<body>} should be a sequence of one or more expressions.

@emph{Semantics:}
A lambda expression evaluates to a procedure.  The environment in
effect when the lambda expression was evaluated is remembered as part of the
procedure.  When the procedure is later called with some actual
arguments, the environment in which the lambda expression was evaluated will
be extended by binding the variables in the formal argument list to
fresh locations, the corresponding actual argument values will be stored
in those locations, and the expressions in the body of the lambda expression
will be evaluated sequentially in the extended environment.
The result(s) of the last expression in the body will be returned as
the result(s) of the procedure call.

@smalllisp
(lambda (x) (+ x x))                   @result{}  @emph{}a procedure
((lambda (x) (+ x x)) 4)               @result{}  8

(define reverse-subtract
  (lambda (x y) (- y x)))
(reverse-subtract 7 10)                @result{}  3

(define add4
  (let ((x 4))
    (lambda (y) (+ x y))))
(add4 6)                               @result{}  10
@end smalllisp

@r{<Formals>} should have one of the following forms:

@itemize @bullet

@item
@t{(@r{<variable1>} @dots{},)}:
The procedure takes a fixed number of arguments; when the procedure is
called, the arguments will be stored in the bindings of the
corresponding variables.

@item
@r{<variable>}:
The procedure takes any number of arguments; when the procedure is
called, the sequence of actual arguments is converted into a newly
allocated list, and the list is stored in the binding of the
@r{<variable>}.

@item
@t{(@r{<variable1>} @dots{}, @r{<variable_n>} @b{.}
@r{<variable_n+1>})}:
If a space-delimited period precedes the last variable, then
the procedure takes n or more arguments, where n is the
number of formal arguments before the period (there must
be at least one).
The value stored in the binding of the last variable will be a
newly allocated
list of the actual arguments left over after all the other actual
arguments have been matched up against the other formal arguments.

@end itemize

It is an error for a @r{<variable>} to appear more than once in
@r{<formals>}.

@smalllisp
((lambda x x) 3 4 5 6)                 @result{}  (3 4 5 6)
((lambda (x y . z) z)
 3 4 5 6)                              @result{}  (5 6)
@end smalllisp

Each procedure created as the result of evaluating a lambda expression is
(conceptually) tagged
with a storage location, in order to make @code{eqv?} and
@cindex @w{eqv?}
@code{eq?} work on procedures (see section @ref{Equivalence predicates}).
@cindex @w{eq?}
@end deffn

@node Conditionals, Assignments, Procedures, Primitive expression types
@subsection Conditionals

@deffn {syntax} if  @r{<test>} @r{<consequent>} @r{<alternate>}
@deffnx {syntax} if  @r{<test>} @r{<consequent>}  
@c \/ if hyper = italic

@emph{Syntax:}
@r{<Test>}, @r{<consequent>}, and @r{<alternate>} may be arbitrary
expressions.

@emph{Semantics:}
An @samp{if} expression is evaluated as follows: first,
@r{<test>} is evaluated.  If it yields a true value (see
@cindex @w{true}
section @ref{Booleans}), then @r{<consequent>} is evaluated and
its value(s) is(are) returned.  Otherwise @r{<alternate>} is evaluated and its
value(s) is(are) returned.  If @r{<test>} yields a false value and no
@r{<alternate>} is specified, then the result of the expression is
unspecified.

@smalllisp
(if (> 3 2) 'yes 'no)                  @result{}  yes
(if (> 2 3) 'yes 'no)                  @result{}  no
(if (> 3 2)
    (- 3 2)
    (+ 3 2))                           @result{}  1
@end smalllisp
@end deffn

@node Assignments,  , Conditionals, Primitive expression types
@subsection Assignments
@deffn {syntax} set!  @r{<variable>} @r{<expression>}

@r{<Expression>} is evaluated, and the resulting value is stored in
the location to which @r{<variable>} is bound.  @r{<Variable>} must
be bound either in some region enclosing the @samp{set!} expression
@cindex @w{region}
or at top level.  The result of the @samp{set!} expression is
unspecified.

@smalllisp
(define x 2)
(+ x 1)                                @result{}  3
(set! x 4)                             @result{}  @emph{unspecified}
(+ x 1)                                @result{}  5
@end smalllisp
@end deffn

@node Derived expression types, Macros, Primitive expression types, Expressions
@section Derived expression types

@menu
* Conditional::                 
* Binding constructs::          
* Sequencing::                  
* Iteration::                   
* Delayed evaluation::          
* Quasiquotation::              
@end menu

The constructs in this section are hygienic, as discussed in
section @ref{Macros}.
For reference purposes, section @ref{Derived expression types} gives macro definitions
that will convert most of the constructs described in this section 
into the primitive constructs described in the previous section.

@ignore todo
Mention that no definition of backquote is provided?
@end ignore

@node Conditional, Binding constructs, Derived expression types, Derived expression types
@subsection Conditionals

@deffn {library syntax} cond  <clause1> <clause2> @dots{},

@emph{Syntax:}
Each @r{<clause>} should be of the form

@format
(@r{<test>} @r{<expression1>} @dots{},)
@end format

where @r{<test>} is any expression.  Alternatively, a @r{<clause>} may be
of the form

@format
(@r{<test>} => @r{<expression>})
@end format

The last @r{<clause>} may be
an ``else clause,'' which has the form

@format
(else @r{<expression1>} @r{<expression2>} @dots{},)@r{.}
@end format

@cindex @w{else}
@cindex @w{=>}

@emph{Semantics:}
A @samp{cond} expression is evaluated by evaluating the @r{<test>}
expressions of successive @r{<clause>}s in order until one of them
evaluates to a true value (see
@cindex @w{true}
section @ref{Booleans}).  When a @r{<test>} evaluates to a true
value, then the remaining @r{<expression>}s in its @r{<clause>} are
evaluated in order, and the result(s) of the last @r{<expression>} in the
@r{<clause>} is(are) returned as the result(s) of the entire @samp{cond}
expression.  If the selected @r{<clause>} contains only the
@r{<test>} and no @r{<expression>}s, then the value of the
@r{<test>} is returned as the result.  If the selected @r{<clause>} uses the
@code{=>} alternate form, then the @r{<expression>} is evaluated.
@cindex @w{=>}
Its value must be a procedure that accepts one argument; this procedure is then
called on the value of the @r{<test>} and the value(s) returned by this
procedure is(are) returned by the @samp{cond} expression.
If all @r{<test>}s evaluate
to false values, and there is no else clause, then the result of
the conditional expression is unspecified; if there is an else
clause, then its @r{<expression>}s are evaluated, and the value(s) of
the last one is(are) returned.

@smalllisp
(cond ((> 3 2) 'greater)
      ((< 3 2) 'less))                 @result{}  greater

(cond ((> 3 3) 'greater)
      ((< 3 3) 'less)
      (else 'equal))                   @result{}  equal

(cond ((assv 'b '((a 1) (b 2))) => cadr)
      (else #f))                       @result{}  2
@end smalllisp
@end deffn

@deffn {library syntax} case  @r{<key>} <clause1> <clause2> @dots{},

@emph{Syntax:}
@r{<Key>} may be any expression.  Each @r{<clause>} should have
the form

@format
((@r{<datum1>} @dots{},) @r{<expression1>} @r{<expression2>} @dots{},)@r{,}
@end format

where each @r{<datum>} is an external representation of some object.
All the @r{<datum>}s must be distinct.
The last @r{<clause>} may be an ``else clause,'' which has the form

@format
(else @r{<expression1>} @r{<expression2>} @dots{},)@r{.}
@end format
@cindex else

@emph{Semantics:}
A @samp{case} expression is evaluated as follows.  @r{<Key>} is
evaluated and its result is compared against each @r{<datum>}.  If the
result of evaluating @r{<key>} is equivalent (in the sense of
@samp{eqv?}; see section @ref{Equivalence predicates}) to a @r{<datum>}, then the
expressions in the corresponding @r{<clause>} are evaluated from left
to right and the result(s) of the last expression in the @r{<clause>} is(are)
returned as the result(s) of the @samp{case} expression.  If the result of
evaluating @r{<key>} is different from every @r{<datum>}, then if
there is an else clause its expressions are evaluated and the
result(s) of the last is(are) the result(s) of the @samp{case} expression;
otherwise the result of the @samp{case} expression is unspecified.

@smalllisp
(case (* 2 3)
  ((2 3 5 7) 'prime)
  ((1 4 6 8 9) 'composite))            @result{}  composite
(case (car '(c d))
  ((a) 'a)
  ((b) 'b))                            @result{}  @emph{unspecified}
(case (car '(c d))
  ((a e i o u) 'vowel)
  ((w y) 'semivowel)
  (else 'consonant))                   @result{}  consonant
@end smalllisp
@end deffn

@deffn {library syntax} and  <test1> @dots{},

The @r{<test>} expressions are evaluated from left to right, and the
value of the first expression that evaluates to a false value (see
section @ref{Booleans}) is returned.  Any remaining expressions
are not evaluated.  If all the expressions evaluate to true values, the
value of the last expression is returned.  If there are no expressions
then @t{#t} is returned.

@smalllisp
(and (= 2 2) (> 2 1))                  @result{}  #t
(and (= 2 2) (< 2 1))                  @result{}  #f
(and 1 2 'c '(f g))                    @result{}  (f g)
(and)                                  @result{}  #t
@end smalllisp
@end deffn

@deffn {library syntax} or  <test1> @dots{},

The @r{<test>} expressions are evaluated from left to right, and the value of the
first expression that evaluates to a true value (see
section @ref{Booleans}) is returned.  Any remaining expressions
are not evaluated.  If all expressions evaluate to false values, the
value of the last expression is returned.  If there are no
expressions then @t{#f} is returned.

@smalllisp
(or (= 2 2) (> 2 1))                   @result{}  #t
(or (= 2 2) (< 2 1))                   @result{}  #t
(or #f #f #f)                          @result{}  #f
(or (memq 'b '(a b c)) 
    (/ 3 0))                           @result{}  (b c)
@end smalllisp
@end deffn

@node Binding constructs, Sequencing, Conditional, Derived expression types
@subsection Binding constructs

The three binding constructs @samp{let}, @samp{let*}, and @samp{letrec}
give Scheme a block structure, like Algol 60.  The syntax of the three
constructs is identical, but they differ in the regions they establish
@cindex @w{region}
for their variable bindings.  In a @samp{let} expression, the initial
values are computed before any of the variables become bound; in a
@samp{let*} expression, the bindings and evaluations are performed
sequentially; while in a @samp{letrec} expression, all the bindings are in
effect while their initial values are being computed, thus allowing
mutually recursive definitions.

@deffn {library syntax} let  @r{<bindings>} @r{<body>}

@emph{Syntax:}
@r{<Bindings>} should have the form

@format
((@r{<variable1>} @r{<init1>}) @dots{},)@r{,}
@end format

where each @r{<init>} is an expression, and @r{<body>} should be a
sequence of one or more expressions.  It is
an error for a @r{<variable>} to appear more than once in the list of variables
being bound.

@emph{Semantics:}
The @r{<init>}s are evaluated in the current environment (in some
unspecified order), the @r{<variable>}s are bound to fresh locations
holding the results, the @r{<body>} is evaluated in the extended
environment, and the value(s) of the last expression of @r{<body>}
is(are) returned.  Each binding of a @r{<variable>} has @r{<body>} as its
region.
@cindex @w{region}

@smalllisp
(let ((x 2) (y 3))
  (* x y))                             @result{}  6

(let ((x 2) (y 3))
  (let ((x 7)
        (z (+ x y)))
    (* z x)))                          @result{}  35
@end smalllisp
See also named @samp{let}, section @ref{Iteration}.
@end deffn

@deffn {library syntax} let*  @r{<bindings>} @r{<body>}
@emph{Syntax:}
@r{<Bindings>} should have the form

@format
((@r{<variable1>} @r{<init1>}) @dots{},)@r{,}
@end format

and @r{<body>} should be a sequence of
one or more expressions.

@emph{Semantics:}
@samp{Let*} is similar to @samp{let}, but the bindings are performed
sequentially from left to right, and the region of a binding indicated
@cindex @w{region}
by @samp{(@r{<variable>} @r{<init>})} is that part of the @samp{let*}
expression to the right of the binding.  Thus the second binding is done
in an environment in which the first binding is visible, and so on.

@smalllisp
(let ((x 2) (y 3))
  (let* ((x 7)
         (z (+ x y)))
    (* z x)))                          @result{}  70
@end smalllisp
@end deffn

@deffn {library syntax} letrec  @r{<bindings>} @r{<body>}

@emph{Syntax:}
@r{<Bindings>} should have the form

@format
((@r{<variable1>} @r{<init1>}) @dots{},)@r{,}
@end format

and @r{<body>} should be a sequence of
one or more expressions. It is an error for a @r{<variable>} to appear more
than once in the list of variables being bound.

@emph{Semantics:}
The @r{<variable>}s are bound to fresh locations holding undefined
values, the @r{<init>}s are evaluated in the resulting environment (in
some unspecified order), each @r{<variable>} is assigned to the result
of the corresponding @r{<init>}, the @r{<body>} is evaluated in the
resulting environment, and the value(s) of the last expression in
@r{<body>} is(are) returned.  Each binding of a @r{<variable>} has the
entire @samp{letrec} expression as its region, making it possible to
@cindex @w{region}
define mutually recursive procedures.

@smalllisp
(letrec ((even?
          (lambda (n)
            (if (zero? n)
                #t
                (odd? (- n 1)))))
         (odd?
          (lambda (n)
            (if (zero? n)
                #f
                (even? (- n 1))))))
  (even? 88))   
                                       @result{}  #t
@end smalllisp

One restriction on @samp{letrec} is very important: it must be possible
to evaluate each @r{<init>} without assigning or referring to the value of any
@r{<variable>}.  If this restriction is violated, then it is an error.  The
restriction is necessary because Scheme passes arguments by value rather than by
name.  In the most common uses of @samp{letrec}, all the @r{<init>}s are
lambda expressions and the restriction is satisfied automatically.

@c  \todo{use or uses?  --- Jinx.}

@end deffn

@node Sequencing, Iteration, Binding constructs, Derived expression types
@subsection Sequencing

@deffn {library syntax} begin  <expression1> <expression2> @dots{},

The @r{<expression>}s are evaluated sequentially from left to right,
and the value(s) of the last @r{<expression>} is(are) returned.  This
expression type is used to sequence side effects such as input and
output.

@smalllisp
(define x 0)

(begin (set! x 5)
       (+ x 1))                        @result{}  6

(begin (display "4 plus 1 equals ")
       (display (+ 4 1)))              @result{}  @emph{unspecified}
          @emph{and prints}  4 plus 1 equals 5
@end smalllisp
@end deffn

@node Iteration, Delayed evaluation, Sequencing, Derived expression types
@subsection Iteration

@c \unsection

@noindent

@deffn {library syntax} do ((@r{<variable1>} @r{<init1>} @r{<step1>}) @t{ @dots{},) (@r{<test>} @r{<expression>} @dots{},) @r{<command>} @dots{},)}
@cindex @w{do}

@samp{Do} is an iteration construct.  It specifies a set of variables to
be bound, how they are to be initialized at the start, and how they are
to be updated on each iteration.  When a termination condition is met,
the loop exits after evaluating the @r{<expression>}s.

@samp{Do} expressions are evaluated as follows:
The @r{<init>} expressions are evaluated (in some unspecified order),
the @r{<variable>}s are bound to fresh locations, the results of the
@r{<init>} expressions are stored in the bindings of the
@r{<variable>}s, and then the iteration phase begins.

Each iteration begins by evaluating @r{<test>}; if the result is
false (see section @ref{Booleans}), then the @r{<command>}
expressions are evaluated in order for effect, the @r{<step>}
expressions are evaluated in some unspecified order, the
@r{<variable>}s are bound to fresh locations, the results of the
@r{<step>}s are stored in the bindings of the
@r{<variable>}s, and the next iteration begins.

If @r{<test>} evaluates to a true value, then the
@r{<expression>}s are evaluated from left to right and the value(s) of
the last @r{<expression>} is(are) returned.  If no @r{<expression>}s
are present, then the value of the @samp{do} expression is unspecified.

The region of the binding of a @r{<variable>}
@cindex @w{region}
consists of the entire @samp{do} expression except for the @r{<init>}s.
It is an error for a @r{<variable>} to appear more than once in the
list of @samp{do} variables.

A @r{<step>} may be omitted, in which case the effect is the
same as if @samp{(@r{<variable>} @r{<init>} @r{<variable>})} had
been written instead of @samp{(@r{<variable>} @r{<init>})}.

@smalllisp
(do ((vec (make-vector 5))
     (i 0 (+ i 1)))
    ((= i 5) vec)
  (vector-set! vec i i))               @result{}  #(0 1 2 3 4)

(let ((x '(1 3 5 7 9)))
  (do ((x x (cdr x))
       (sum 0 (+ sum (car x))))
      ((null? x) sum)))                @result{}  25
@end smalllisp
@c \end{entry}

@deffnx {library syntax} let  @r{<variable>} @r{<bindings>} @r{<body>}

``Named @samp{let}'' is a variant on the syntax of @code{let} which provides
@cindex @w{let}
a more general looping construct than @samp{do} and may also be used to express
recursions.
It has the same syntax and semantics as ordinary @samp{let}
except that @r{<variable>} is bound within @r{<body>} to a procedure
whose formal arguments are the bound variables and whose body is
@r{<body>}.  Thus the execution of @r{<body>} may be repeated by
invoking the procedure named by @r{<variable>}.

@smalllisp
(let loop ((numbers '(3 -2 1 6 -5))
           (nonneg '())
           (neg '()))
  (cond ((null? numbers) (list nonneg neg))
        ((>= (car numbers) 0)
         (loop (cdr numbers)
               (cons (car numbers) nonneg)
               neg))
        ((< (car numbers) 0)
         (loop (cdr numbers)
               nonneg
               (cons (car numbers) neg)))))   
          @result{}  ((6 1 3) (-5 -2))
@end smalllisp
@end deffn


@node Delayed evaluation, Quasiquotation, Iteration, Derived expression types
@subsection Delayed evaluation

@deffn {library syntax} delay  @r{<expression>}

@ignore todo
Fix.
@end ignore

The @samp{delay} construct is used together with the procedure @code{force} to
@cindex @w{force}
implement @dfn{lazy evaluation} or @dfn{call by need}.
@cindex @w{call by need}
@cindex @w{lazy evaluation}
@t{(delay @r{<expression>})} returns an object called a
@dfn{promise} which at some point in the future may be asked (by
@cindex @w{promise}
the @samp{force} procedure) 
@ignore todo
Bartley's white lie; OK?
@end ignore
 to evaluate
@r{<expression>}, and deliver the resulting value.
The effect of @r{<expression>} returning multiple values
is unspecified.

See the description of @samp{force} (section @ref{Control features}) for a
more complete description of @samp{delay}.

@end deffn

@node Quasiquotation,  , Delayed evaluation, Derived expression types
@subsection Quasiquotation

@deffn {syntax} quasiquote  @r{<qq template>} 
@deffnx {syntax} @t{`}@r{<qq template>}

``Backquote'' or ``quasiquote'' expressions are useful
@cindex @w{backquote}
for constructing a list or vector structure when most but not all of the
desired structure is known in advance.  If no
commas appear within the @r{<qq template>}, the result of
@cindex @w{comma}
evaluating
@t{`}@r{<qq template>} is equivalent to the result of evaluating
@t{'}@r{<qq template>}.  If a comma appears within the
@cindex @w{,}
@r{<qq template>}, however, the expression following the comma is
evaluated (``unquoted'') and its result is inserted into the structure
instead of the comma and the expression.  If a comma appears followed
immediately by an at-sign (@@), then the following
@cindex @w{,@@}
expression must evaluate to a list; the opening and closing parentheses
of the list are then ``stripped away'' and the elements of the list are
inserted in place of the comma at-sign expression sequence.  A comma
at-sign should only appear within a list or vector @r{<qq template>}.

@c  struck: "(in the sense of {\cf equal?})" after "equivalent"

@smalllisp
`(list ,(+ 1 2) 4)                     @result{}  (list 3 4)
(let ((name 'a)) `(list ,name ',name))           
          @result{}  (list a (quote a))
`(a ,(+ 1 2) ,@@(map abs '(4 -5 6)) b)           
          @result{}  (a 3 4 5 6 b)
`((@samp{foo} ,(- 10 3)) ,@@(cdr '(c)) . ,(car '(cons)))           
          @result{}  ((foo 7) . cons)
`#(10 5 ,(sqrt 4) ,@@(map sqrt '(16 9)) 8)           
          @result{}  #(10 5 2 4 3 8)
@end smalllisp

Quasiquote forms may be nested.  Substitutions are made only for
unquoted components appearing at the same nesting level
as the outermost backquote.  The nesting level increases by one inside
each successive quasiquotation, and decreases by one inside each
unquotation.

@smalllisp
`(a `(b ,(+ 1 2) ,(foo ,(+ 1 3) d) e) f)           
          @result{}  (a `(b ,(+ 1 2) ,(foo 4 d) e) f)
(let ((name1 'x)
      (name2 'y))
  `(a `(b ,,name1 ,',name2 d) e))           
          @result{}  (a `(b ,x ,'y d) e)
@end smalllisp

The two notations
 @t{`}@r{<qq template>} and @t{(quasiquote @r{<qq template>})}
 are identical in all respects.
 @samp{,@r{<expression>}} is identical to @samp{(unquote @r{<expression>})},
 and
 @samp{,@@@r{<expression>}} is identical to @samp{(unquote-splicing @r{<expression>})}.
The external syntax generated by @code{write} for two-element lists whose
@cindex @w{write}
car is one of these symbols may vary between implementations.

@cindex @w{`}

@smalllisp
(quasiquote (list (unquote (+ 1 2)) 4))           
          @result{}  (list 3 4)
'(quasiquote (list (unquote (+ 1 2)) 4))           
          @result{}  `(list ,(+ 1 2) 4)
     @emph{}i.e., (quasiquote (list (unquote (+ 1 2)) 4))
@end smalllisp

Unpredictable behavior can result if any of the symbols
@code{quasiquote}, @code{unquote}, or @code{unquote-splicing} appear in
@cindex @w{unquote-splicing}
@cindex @w{unquote}
@cindex @w{quasiquote}
positions within a @r{<qq template>} otherwise than as described above.
@end deffn

@node Macros,  , Derived expression types, Expressions
@section Macros

@menu
* Binding constructs for syntactic keywords::  
* Pattern language::            
@end menu

Scheme programs can define and use new derived expression types,
 called @emph{macros}.
@cindex @w{macro}
Program-defined expression types have the syntax

@example
(@r{<keyword>} @r{<datum>} ...)
@end example

where @r{<keyword>} is an identifier that uniquely determines the
expression type.  This identifier is called the @emph{syntactic
keyword}, or simply @emph{keyword}, of the macro.  The
@cindex @w{macro keyword}
@cindex @w{keyword}
@cindex @w{syntactic keyword}
number of the @r{<datum>}s, and their syntax, depends on the
expression type.

Each instance of a macro is called a @emph{use}
@cindex @w{macro use}
of the macro.
The set of rules that specifies
how a use of a macro is transcribed into a more primitive expression
is called the @emph{transformer}
@cindex @w{macro transformer}
of the macro.

The macro definition facility consists of two parts:

@itemize @bullet

@item
A set of expressions used to establish that certain identifiers
are macro keywords, associate them with macro transformers, and control
the scope within which a macro is defined, and

@item
a pattern language for specifying macro transformers.

@end itemize

The syntactic keyword of a macro may shadow variable bindings, and local
variable bindings may shadow keyword bindings.    All macros
@cindex @w{keyword}
defined using the pattern language  are ``hygienic'' and ``referentially
transparent'' and thus preserve Scheme's lexical scoping [Kohlbecker86], [
hygienic], [Bawden88], [macrosthatwork], [syntacticabstraction]:

@cindex @w{hygienic}

@cindex @w{referentially transparent}

@itemize @bullet
@item
If a macro transformer inserts a binding for an identifier
(variable or keyword), the identifier will in effect be renamed
throughout its scope to avoid conflicts with other identifiers.
Note that a @code{define} at top level may or may not introduce a binding;
see section @ref{Definitions}.

@item
If a macro transformer inserts a free reference to an
identifier, the reference refers to the binding that was visible
where the transformer was specified, regardless of any local
bindings that may surround the use of the macro.

@end itemize

@cindex @w{define}

@c The low-level facility permits non-hygienic macros to be written,
@c and may be used to implement the high-level pattern language.

@c  The fourth section describes some features that would make the
@c  low-level macro facility easier to use directly.

@node Binding constructs for syntactic keywords, Pattern language, Macros, Macros
@subsection Binding constructs for syntactic keywords

@samp{Let-syntax} and @samp{letrec-syntax} are
analogous to @samp{let} and @samp{letrec}, but they bind
syntactic keywords to macro transformers instead of binding variables
to locations that contain values.  Syntactic keywords may also be
bound at top level; see section @ref{Syntax definitions}.

@deffn {syntax} let-syntax  @r{<bindings>} @r{<body>}
@emph{Syntax:}
@r{<Bindings>} should have the form

@format
((@r{<keyword>} @r{<transformer spec>}) @dots{},)
@end format

Each @r{<keyword>} is an identifier,
each @r{<transformer spec>} is an instance of @samp{syntax-rules}, and
@r{<body>} should be a sequence of one or more expressions.  It is an error
for a @r{<keyword>} to appear more than once in the list of keywords
being bound.

@emph{Semantics:}
The @r{<body>} is expanded in the syntactic environment
obtained by extending the syntactic environment of the
@samp{let-syntax} expression with macros whose keywords are
the @r{<keyword>}s, bound to the specified transformers.
Each binding of a @r{<keyword>} has @r{<body>} as its region.

@smalllisp
(let-syntax ((when (syntax-rules ()
                     ((when test stmt1 stmt2 ...)
                      (if test
                          (begin stmt1
                                 stmt2 ...))))))
  (let ((if #t))
    (when if (set! if 'now))
    if))                               @result{}  now

(let ((x 'outer))
  (let-syntax ((m (syntax-rules () ((m) x))))
    (let ((x 'inner))
      (m))))                           @result{}  outer
@end smalllisp
@end deffn

@deffn {syntax} letrec-syntax  @r{<bindings>} @r{<body>}

@emph{Syntax:}
Same as for @samp{let-syntax}.

@emph{Semantics:}
 The @r{<body>} is expanded in the syntactic environment obtained by
extending the syntactic environment of the @samp{letrec-syntax}
expression with macros whose keywords are the
@r{<keyword>}s, bound to the specified transformers.
Each binding of a @r{<keyword>} has the @r{<bindings>}
as well as the @r{<body>} within its region,
so the transformers can
transcribe expressions into uses of the macros
introduced by the @samp{letrec-syntax} expression.

@smalllisp
(letrec-syntax
  ((my-or (syntax-rules ()
            ((my-or) #f)
            ((my-or e) e)
            ((my-or e1 e2 ...)
             (let ((temp e1))
               (if temp
                   temp
                   (my-or e2 ...)))))))
  (let ((x #f)
        (y 7)
        (temp 8)
        (let odd?)
        (if even?))
    (my-or x
           (let temp)
           (if y)
           y)))                        @result{}  7
@end smalllisp
@end deffn

@node Pattern language,  , Binding constructs for syntactic keywords, Macros
@subsection Pattern language

A @r{<transformer spec>} has the following form:

@deffn {} syntax-rules  @r{<literals>} @r{<syntax rule>} @dots{},

@emph{Syntax:}
@r{<Literals>} is a list of identifiers and each @r{<syntax rule>}
should be of the form

@format
(@r{<pattern>} @r{<template>})
@end format

The @r{<pattern>} in a @r{<syntax rule>} is a list @r{<pattern>}
that begins with the keyword for the macro.

A @r{<pattern>} is either an identifier, a constant, or one of the
following

@format
(@r{<pattern>} @dots{})
(@r{<pattern>} @r{<pattern>} @dots{} . @r{<pattern>})
(@r{<pattern>} @dots{} @r{<pattern>} @r{<ellipsis>})
#(@r{<pattern>} @dots{})
#(@r{<pattern>} @dots{} @r{<pattern>} @r{<ellipsis>})
@end format

and a template is either an identifier, a constant, or one of the following

@format
(@r{<element>} @dots{})
(@r{<element>} @r{<element>} @dots{} . @r{<template>})
#(@r{<element>} @dots{})
@end format

where an @r{<element>} is a @r{<template>} optionally
followed by an @r{<ellipsis>} and
an @r{<ellipsis>} is the identifier ``@samp{...}'' (which cannot be used as
an identifier in either a template or a pattern).
@cindex ...

@sp 1
@emph{Semantics:} An instance of @samp{syntax-rules} produces a new macro
transformer by specifying a sequence of hygienic rewrite rules.  A use
of a macro whose keyword is associated with a transformer specified by
@samp{syntax-rules} is matched against the patterns contained in the
@r{<syntax rule>}s, beginning with the leftmost @r{<syntax rule>}.
When a match is found, the macro use is transcribed hygienically
according to the template.

An identifier that appears in the pattern of a @r{<syntax rule>} is
a @emph{pattern variable}, unless it is the keyword that begins the pattern,
is listed in @r{<literals>}, or is the identifier ``@samp{...}''.
Pattern variables match arbitrary input elements and
are used to refer to elements of the input in the template.  It is an
error for the same pattern variable to appear more than once in a
@r{<pattern>}.

The keyword at the beginning of the pattern in a
@r{<syntax rule>} is not involved in the matching and
is not considered a pattern variable or literal identifier.

@sp 1
@emph{Rationale:}

The scope of the keyword is determined by the expression or syntax
definition that binds it to the associated macro transformer.
If the keyword were a pattern variable or literal
identifier, then
the template that follows the pattern would be within its scope
regardless of whether the keyword were bound by @samp{let-syntax}
or by @samp{letrec-syntax}.

Identifiers that appear in @r{<literals>} are interpreted as literal
identifiers to be matched against corresponding subforms of the input.
A subform
in the input matches a literal identifier if and only if it is an
identifier
and either both its occurrence in the macro expression and its
occurrence in the macro definition have the same lexical binding, or
the two identifiers are equal and both have no lexical binding.

@c  [Bill Rozas suggested the term "noise word" for these literal
@c  identifiers, but in their most interesting uses, such as a setf
@c  macro, they aren't noise words at all. -- Will]

A subpattern followed by @samp{...} can match zero or more elements of the
input.  It is an error for @samp{...} to appear in @r{<literals>}.
Within a pattern the identifier @samp{...} must follow the last element of
a nonempty sequence of subpatterns.

More formally, an input form F matches a pattern P if and only if:

@itemize @bullet

@item
P is a non-literal identifier; or

@item
P is a literal identifier and F is an identifier with the same
binding; or

@item
P is a list @samp{(P_1 @dots{} P_n)} and F is a
list of n
forms that match P_1 through P_n, respectively; or

@item
P is an improper list
@samp{(P_1 P_2 @dots{} P_n . P_n+1)}
and F is a list or
improper list of n or more forms that match P_1 through P_n,
respectively, and whose nth ``cdr'' matches P_n+1; or

@item
P is of the form
@samp{(P_1 @dots{} P_n P_n+1 <ellipsis>)}
where <ellipsis> is the identifier @samp{...}
and F is
a proper list of at least n forms, the first n of which match
P_1 through P_n, respectively, and each remaining element of F
matches P_n+1; or

@item
P is a vector of the form @samp{#(P_1 @dots{} P_n)}
and F is a vector
of n forms that match P_1 through P_n; or

@item
P is of the form
@samp{#(P_1 @dots{} P_n P_n+1 <ellipsis>)}
where <ellipsis> is the identifier @samp{...}
and F is a vector of n
or more forms the first n of which match
P_1 through P_n, respectively, and each remaining element of F
matches P_n+1; or

@item
P is a datum and F is equal to P in the sense of
the @samp{equal?} procedure.

@end itemize

It is an error to use a macro keyword, within the scope of its
binding, in an expression that does not match any of the patterns.

When a macro use is transcribed according to the template of the
matching @r{<syntax rule>}, pattern variables that occur in the
template are replaced by the subforms they match in the input.
Pattern variables that occur in subpatterns followed by one or more
instances of the identifier
@samp{...} are allowed only in subtemplates that are
followed by as many instances of @samp{...}.
They are replaced in the
output by all of the subforms they match in the input, distributed as
indicated.  It is an error if the output cannot be built up as
specified.

@c %% This description of output construction is very vague.  It should
@c %% probably be formalized, but that is not easy...

Identifiers that appear in the template but are not pattern variables
or the identifier
@samp{...} are inserted into the output as literal identifiers.  If a
literal identifier is inserted as a free identifier then it refers to the
binding of that identifier within whose scope the instance of
@samp{syntax-rules} appears.
If a literal identifier is inserted as a bound identifier then it is
in effect renamed to prevent inadvertent captures of free identifiers.

As an example, if @code{let} and @code{cond} are defined as in
@cindex @w{cond}
@cindex @w{let}
section @ref{Derived expression types} then they are hygienic (as required) and
the following is not an error.

@smalllisp
(let ((=> #f))
  (cond (#t => 'ok)))                  @result{} ok
@end smalllisp

The macro transformer for @samp{cond} recognizes @samp{=>}
as a local variable, and hence an expression, and not as the
top-level identifier @samp{=>}, which the macro transformer treats
as a syntactic keyword.  Thus the example expands into

@smalllisp
(let ((=> #f))
  (if #t (begin => 'ok)))
@end smalllisp

instead of

@smalllisp
(let ((=> #f))
  (let ((temp #t))
    (if temp ('ok temp))))
@end smalllisp

which would result in an invalid procedure call.

@end deffn
         
@page

@c @include{prog}
@node Program structure, Standard procedures, Expressions, top
@chapter Program structure

@menu
* Programs::                    
* Definitions::                 
* Syntax definitions::          
@end menu

@node Programs, Definitions, Program structure, Program structure
@section Programs

A Scheme program consists of a sequence of expressions, definitions,
and syntax definitions.
Expressions are described in chapter @ref{Expressions};
definitions and syntax definitions are the subject of the rest of the
present chapter.

Programs are typically stored in files or entered interactively to a
running Scheme system, although other paradigms are possible;
questions of user interface lie outside the scope of this report.
(Indeed, Scheme would still be useful as a notation for expressing
computational methods even in the absence of a mechanical
implementation.)

Definitions and syntax definitions occurring at the top level of a program
can be interpreted
declaratively.
They cause bindings to be created in the top level
environment or modify the value of existing top-level bindings.
Expressions occurring at the top level of a program are
interpreted imperatively; they are executed in order when the program is
invoked or loaded, and typically perform some kind of initialization.

At the top level of a program @t{(begin @r{<form1>} @dots{},)} is
equivalent to the sequence of expressions, definitions, and syntax definitions
that form the body of the @code{begin}.
@cindex @w{begin}

@ignore todo
Cromarty, etc.: disclaimer about top level?
@end ignore

@node Definitions, Syntax definitions, Programs, Program structure
@section Definitions

@menu
* Top level definitions::       
* Internal definitions::        
@end menu

Definitions are valid in some, but not all, contexts where expressions
are allowed.  They are valid only at the top level of a @r{<program>}
and at the beginning of a @r{<body>}.

@cindex @w{definition}

A definition should have one of the following forms:
@cindex @w{define}

@itemize @bullet
@item @t{(define @r{<variable>} @r{<expression>})}
@item @t{(define (@r{<variable>} @r{<formals>}) @r{<body>})}
@r{<Formals>} should be either a
sequence of zero or more variables, or a sequence of one or more
variables followed by a space-delimited period and another variable (as
in a lambda expression).  This form is equivalent to
@example
(define @r{<variable>}
  (lambda (@r{<formals>}) @r{<body>}))@r{.}
@end example

@item @t{(define (@r{<variable>} .@: @r{<formal>}) @r{<body>})}

@r{<Formal>} should be a single
variable.  This form is equivalent to

@example
(define @r{<variable>}
  (lambda @r{<formal>} @r{<body>}))@r{.}
@end example
@end itemize

@node Top level definitions, Internal definitions, Definitions, Definitions
@subsection Top level definitions

At the top level of a program, a definition

@example
(define @r{<variable>} @r{<expression>})
@end example

has essentially the same effect as the assignment expression

@example
(set! @r{<variable>} @r{<expression>})
@end example

if @r{<variable>} is bound.  If @r{<variable>} is not bound,
however, then the definition will bind @r{<variable>} to a new
location before performing the assignment, whereas it would be an error
to perform a @samp{set!} on an unbound variable.
@cindex @w{unbound}

@smalllisp
(define add3
  (lambda (x) (+ x 3)))
(add3 3)                               @result{}  6
(define first car)
(first '(1 2))                         @result{}  1
@end smalllisp

Some implementations of Scheme use an initial environment in
which all possible variables are bound to locations, most of
which contain undefined values.  Top level definitions in
such an implementation are truly equivalent to assignments.

@ignore todo
Rozas: equal time for opposition semantics?
@end ignore

@node Internal definitions,  , Top level definitions, Definitions
@subsection Internal definitions

Definitions may occur at the
beginning of a @r{<body>} (that is, the body of a @code{lambda},
@cindex @w{lambda}
@code{let}, @code{let*}, @code{letrec}, @code{let-syntax}, or @code{letrec-syntax}
@cindex @w{letrec-syntax}
@cindex @w{let-syntax}
@cindex @w{letrec}
@cindex @w{let*}
@cindex @w{let}
expression or that of a definition of an appropriate form).
Such definitions are known as @emph{internal definitions}  as opposed to the top level definitions described above.
@cindex @w{internal definition}
The variable defined by an internal definition is local to the
@r{<body>}.  That is, @r{<variable>} is bound rather than assigned,
and the region of the binding is the entire @r{<body>}.  For example,

@smalllisp
(let ((x 5))
  (define foo (lambda (y) (bar x y)))
  (define bar (lambda (a b) (+ (* a b) a)))
  (foo (+ x 3)))                       @result{}  45
@end smalllisp

A @r{<body>} containing internal definitions can always be converted
into a completely equivalent @samp{letrec} expression.  For example, the
@samp{let} expression in the above example is equivalent to

@smalllisp
(let ((x 5))
  (letrec ((foo (lambda (y) (bar x y)))
           (bar (lambda (a b) (+ (* a b) a))))
    (foo (+ x 3))))
@end smalllisp

Just as for the equivalent @samp{letrec} expression, it must be
possible to evaluate each @r{<expression>} of every internal
definition in a @r{<body>} without assigning or referring to
the value of any @r{<variable>} being defined.

Wherever an internal definition may occur
@t{(begin @r{<definition1>} @dots{},)}
is equivalent to the sequence of definitions
that form the body of the @code{begin}.
@cindex @w{begin}

@node Syntax definitions,  , Definitions, Program structure
@section Syntax definitions


Syntax definitions are valid only at the top level of a @r{<program>}.

@cindex @w{syntax definition}
They have the following form:
@cindex @w{define-syntax}

@t{(define-syntax @r{<keyword>} @r{<transformer spec>})}

@r{<Keyword>} is an identifier, and
the @r{<transformer spec>} should be an instance of @code{syntax-rules}.
@cindex @w{syntax-rules}
The top-level syntactic environment is extended by binding the
@r{<keyword>} to the specified transformer.

There is no @samp{define-syntax} analogue of internal definitions.

@c [Rationale flushed because it may or may not be true and isn't the
@c  real rationale anyway. -RK]
@c \begin{rationale}
@c As discussed below, the syntax and scope rules for syntax definitions
@c can give rise to syntactic ambiguities when syntactic keywords are
@c shadowed.
@c Further ambiguities would arise if {\cf define-syntax}
@c were permitted at the beginning of a \meta{body}, with scope
@c rules analogous to those for internal definitions.
@c \end{rationale}

@c  It is an error for a program to contain more than one top-level
@c  \meta{definition} or \meta{syntax definition} of any identifier.

@c  [I flushed this because it isn't an error for a program to
@c  contain more than one top-level definition of an identifier,
@c  and I didn't want to introduce any gratuitous incompatibilities
@c  with the existing Scheme language. -- Will]

Although macros may expand into definitions and syntax definitions in
any context that permits them, it is an error for a definition or syntax
definition to shadow a syntactic keyword whose meaning is needed to
determine whether some form in the group of forms that contains the
shadowing definition is in fact a definition, or, for internal definitions,
is needed to determine the boundary between the group and the expressions
that follow the group.  For example, the following are errors:

@smalllisp
(define define 3)

(begin (define begin list))

(let-syntax
  ((foo (syntax-rules ()
          ((foo (proc args ...) body ...)
           (define proc
             (lambda (args ...)
               body ...))))))
  (let ((x 3))
    (foo (plus x y) (+ x y))
    (define foo x)
    (plus foo x)))
@end smalllisp
       
@c @include{procs}

@c  Initial environment

@c \vfill\eject
@node Standard procedures, Formal syntax and semantics, Program structure, top
@chapter Standard procedures

@menu
* Equivalence predicates::      
* Numbers::                     
* Other data types::            
* Control features::            
* Eval::                        
* Input and output::            
@end menu

@cindex @w{initial environment}

@cindex @w{top level environment}

@cindex @w{library procedure}

This chapter describes Scheme's built-in procedures.  The initial (or
``top level'') Scheme environment starts out with a number of variables
bound to locations containing useful values, most of which are primitive
procedures that manipulate data.  For example, the variable @samp{abs} is
bound to (a location initially containing) a procedure of one argument
that computes the absolute value of a number, and the variable @samp{+}
is bound to a procedure that computes sums.  Built-in procedures that
can easily be written in terms of other built-in procedures are identified as
``library procedures''.

A program may use a top-level definition to bind any variable.  It may
subsequently alter any such binding by an assignment (see @ref{Assignments}).
These operations do not modify the behavior of Scheme's built-in
procedures.  Altering any top-level binding that has not been introduced by a
definition has an unspecified effect on the behavior of the built-in procedures.

@node Equivalence predicates, Numbers, Standard procedures, Standard procedures
@section Equivalence predicates

A @dfn{predicate} is a procedure that always returns a boolean
@cindex @w{predicate}
value (@t{#t} or @t{#f}).  An @dfn{equivalence predicate} is
@cindex @w{equivalence predicate}
the computational analogue of a mathematical equivalence relation (it is
symmetric, reflexive, and transitive).  Of the equivalence predicates
described in this section, @samp{eq?} is the finest or most
discriminating, and @samp{equal?} is the coarsest.  @samp{Eqv?} is
slightly less discriminating than @samp{eq?}.  
@ignore todo
Pitman doesn't like
this paragraph.  Lift the discussion from the Maclisp manual.  Explain
why there's more than one predicate.
@end ignore

@deffn {procedure} eqv?  obj1 obj2

The @samp{eqv?} procedure defines a useful equivalence relation on objects.
Briefly, it returns @t{#t} if @var{obj1} and @var{obj2} should
normally be regarded as the same object.  This relation is left slightly
open to interpretation, but the following partial specification of
@samp{eqv?} holds for all implementations of Scheme.

The @samp{eqv?} procedure returns @t{#t} if:

@itemize @bullet

@item
@var{obj1} and @var{obj2} are both @t{#t} or both @t{#f}.

@item
@var{obj1} and @var{obj2} are both symbols and

@smalllisp
(string=? (symbol->string obj1)
          (symbol->string obj2))
                                  @result{}  #t
@end smalllisp

@quotation
@emph{Note:} 
This assumes that neither @var{obj1} nor @var{obj2} is an ``uninterned
symbol'' as alluded to in section @ref{Symbols}.  This report does
not presume to specify the behavior of @samp{eqv?} on implementation-dependent
extensions.
@end quotation


@item
@var{obj1} and @var{obj2} are both numbers, are numerically
equal (see @samp{=}, section @ref{Numbers}), and are either both
exact or both inexact.

@item
@var{obj1} and @var{obj2} are both characters and are the same
character according to the @samp{char=?} procedure
(section @ref{Characters}).

@item
both @var{obj1} and @var{obj2} are the empty list.

@item
@var{obj1} and @var{obj2} are pairs, vectors, or strings that denote the
same locations in the store (section @ref{Storage model}).

@item
@var{obj1} and @var{obj2} are procedures whose location tags are
equal (section @ref{Procedures}).

@end itemize

@cindex @w{inexact}
@cindex @w{exact}

The @samp{eqv?} procedure returns @t{#f} if:

@itemize @bullet
@item
@var{obj1} and @var{obj2} are of different types
(section @ref{Disjointness of types}).

@item
one of @var{obj1} and @var{obj2} is @t{#t} but the other is
@t{#f}.

@item
@var{obj1} and @var{obj2} are symbols but

@smalllisp
(string=? (symbol->string @var{obj1})
          (symbol->string @var{obj2}))
                                  @result{}  #f
@end smalllisp

@item
one of @var{obj1} and @var{obj2} is an exact number but the other
is an inexact number.

@item
@var{obj1} and @var{obj2} are numbers for which the @samp{=}
procedure returns @t{#f}.

@item
@var{obj1} and @var{obj2} are characters for which the @samp{char=?}
procedure returns @t{#f}.

@item
one of @var{obj1} and @var{obj2} is the empty list but the other
is not.

@item
@var{obj1} and @var{obj2} are pairs, vectors, or strings that denote
distinct locations.

@item
@var{obj1} and @var{obj2} are procedures that would behave differently
(return different value(s) or have different side effects) for some arguments.

@end itemize

@smalllisp
(eqv? 'a 'a)                           @result{}  #t
(eqv? 'a 'b)                           @result{}  #f
(eqv? 2 2)                             @result{}  #t
(eqv? '() '())                         @result{}  #t
(eqv? 100000000 100000000)             @result{}  #t
(eqv? (cons 1 2) (cons 1 2))           @result{}  #f
(eqv? (lambda () 1)
      (lambda () 2))                   @result{}  #f
(eqv? #f 'nil)                         @result{}  #f
(let ((p (lambda (x) x)))
  (eqv? p p))                          @result{}  #t
@end smalllisp

The following examples illustrate cases in which the above rules do
not fully specify the behavior of @samp{eqv?}.  All that can be said
about such cases is that the value returned by @samp{eqv?} must be a
boolean.

@smalllisp
(eqv? "" "")                           @result{}  @emph{unspecified}
(eqv? '#() '#())                       @result{}  @emph{unspecified}
(eqv? (lambda (x) x)
      (lambda (x) x))                  @result{}  @emph{unspecified}
(eqv? (lambda (x) x)
      (lambda (y) y))                  @result{}  @emph{unspecified}
@end smalllisp

The next set of examples shows the use of @samp{eqv?} with procedures
that have local state.  @samp{Gen-counter} must return a distinct
procedure every time, since each procedure has its own internal counter.
@samp{Gen-loser}, however, returns equivalent procedures each time, since
the local state does not affect the value or side effects of the
procedures.

@smalllisp
(define gen-counter
  (lambda ()
    (let ((n 0))
      (lambda () (set! n (+ n 1)) n))))
(let ((g (gen-counter)))
  (eqv? g g))                          @result{}  #t
(eqv? (gen-counter) (gen-counter))
                                       @result{}  #f
(define gen-loser
  (lambda ()
    (let ((n 0))
      (lambda () (set! n (+ n 1)) 27))))
(let ((g (gen-loser)))
  (eqv? g g))                          @result{}  #t
(eqv? (gen-loser) (gen-loser))
                                       @result{}  @emph{unspecified}

(letrec ((f (lambda () (if (eqv? f g) 'both 'f)))
         (g (lambda () (if (eqv? f g) 'both 'g))))
  (eqv? f g))
                                       @result{}  @emph{unspecified}

(letrec ((f (lambda () (if (eqv? f g) 'f 'both)))
         (g (lambda () (if (eqv? f g) 'g 'both))))
  (eqv? f g))
                                       @result{}  #f
@end smalllisp

@c  Objects of distinct types must never be regarded as the same object,
@c  except that \schfalse{} and the empty list\index{empty list} are permitted to
@c  be identical.

@c  \begin{scheme}
@c  (eqv? '() \schfalse)    \ev  \unspecified%
@c  \end{scheme}

Since it is an error to modify constant objects (those returned by
literal expressions), implementations are permitted, though not
required, to share structure between constants where appropriate.  Thus
the value of @samp{eqv?} on constants is sometimes
implementation-dependent.

@smalllisp
(eqv? '(a) '(a))                       @result{}  @emph{unspecified}
(eqv? "a" "a")                         @result{}  @emph{unspecified}
(eqv? '(b) (cdr '(a b)))               @result{}  @emph{unspecified}
(let ((x '(a)))
  (eqv? x x))                          @result{}  #t
@end smalllisp

@sp 1
@emph{Rationale:} 
The above definition of @samp{eqv?} allows implementations latitude in
their treatment of procedures and literals:  implementations are free
either to detect or to fail to detect that two procedures or two literals
are equivalent to each other, and can decide whether or not to
merge representations of equivalent objects by using the same pointer or
bit pattern to represent both.
@end deffn

@deffn {procedure} eq?  obj1 obj2

@samp{Eq?} is similar to @samp{eqv?} except that in some cases it is
capable of discerning distinctions finer than those detectable by
@samp{eqv?}.

@samp{Eq?} and @samp{eqv?} are guaranteed to have the same
behavior on symbols, booleans, the empty list, pairs, procedures,
and non-empty
strings and vectors.  @samp{Eq?}'s behavior on numbers and characters is
implementation-dependent, but it will always return either true or
false, and will return true only when @samp{eqv?} would also return
true.  @samp{Eq?} may also behave differently from @samp{eqv?} on empty
vectors and empty strings.

@smalllisp
(eq? 'a 'a)                            @result{}  #t
(eq? '(a) '(a))                        @result{}  @emph{unspecified}
(eq? (list 'a) (list 'a))              @result{}  #f
(eq? "a" "a")                          @result{}  @emph{unspecified}
(eq? "" "")                            @result{}  @emph{unspecified}
(eq? '() '())                          @result{}  #t
(eq? 2 2)                              @result{}  @emph{unspecified}
(eq? #\A #\A)                          @result{}  @emph{unspecified}
(eq? car car)                          @result{}  #t
(let ((n (+ 2 3)))
  (eq? n n))                           @result{}  @emph{unspecified}
(let ((x '(a)))
  (eq? x x))                           @result{}  #t
(let ((x '#()))
  (eq? x x))                           @result{}  #t
(let ((p (lambda (x) x)))
  (eq? p p))                           @result{}  #t
@end smalllisp

@ignore todo
Needs to be explained better above.  How can this be made to be
not confusing?  A table maybe?
@end ignore

@sp 1
@emph{Rationale:} It will usually be possible to implement @samp{eq?} much
more efficiently than @samp{eqv?}, for example, as a simple pointer
comparison instead of as some more complicated operation.  One reason is
that it may not be possible to compute @samp{eqv?} of two numbers in
constant time, whereas @samp{eq?} implemented as pointer comparison will
always finish in constant time.  @samp{Eq?} may be used like @samp{eqv?}
in applications using procedures to implement objects with state since
it obeys the same constraints as @samp{eqv?}.
@end deffn

@deffn {library procedure} equal?  obj1 obj2

@samp{Equal?} recursively compares the contents of pairs, vectors, and
strings, applying @samp{eqv?} on other objects such as numbers and symbols.
A rule of thumb is that objects are generally @samp{equal?} if they print
the same.  @samp{Equal?} may fail to terminate if its arguments are
circular data structures.

@smalllisp
(equal? 'a 'a)                         @result{}  #t
(equal? '(a) '(a))                     @result{}  #t
(equal? '(a (b) c)
        '(a (b) c))                    @result{}  #t
(equal? "abc" "abc")                   @result{}  #t
(equal? 2 2)                           @result{}  #t
(equal? (make-vector 5 'a)
        (make-vector 5 'a))            @result{}  #t
(equal? (lambda (x) x)
        (lambda (y) y))                @result{}  @emph{unspecified}
@end smalllisp
@end deffn

@node Numbers, Other data types, Equivalence predicates, Standard procedures
@section Numbers

@menu
* Numerical types::             
* Exactness::                   
* Implementation restrictions::  
* Syntax of numerical constants::  
* Numerical operations::        
* Numerical input and output::  
@end menu

@cindex @w{number}

@c %R4%% The excessive use of the code font in this section was
@c  confusing, somewhat obnoxious, and inconsistent with the rest
@c  of the report and with parts of the section itself.  I added
@c  a \tupe no-op, and changed most old uses of \type to \tupe,
@c  to make it easier to change the fonts back if people object
@c  to the change.

@c \newcommand{\type}[1]{{\it#1}}
@c \newcommand{\tupe}[1]{{#1}}

Numerical computation has traditionally been neglected by the Lisp
community.  Until Common Lisp there was no carefully thought out
strategy for organizing numerical computation, and with the exception of
the MacLisp system [Pitman83] little effort was made to
execute numerical code efficiently.  This report recognizes the excellent work
of the Common Lisp committee and accepts many of their recommendations.
In some ways this report simplifies and generalizes their proposals in a manner
consistent with the purposes of Scheme.

It is important to distinguish between the mathematical numbers, the
Scheme numbers that attempt to model them, the machine representations
used to implement the Scheme numbers, and notations used to write numbers.
This report uses the types @i{number}, @i{complex}, @i{real},
@i{rational}, and @i{integer} to refer to both mathematical numbers
and Scheme numbers.  Machine representations such as fixed point and
floating point are referred to by names such as @i{fixnum} and
@i{flonum}.

@c %R4%% I did some reorganizing here to move the discussion of mathematical
@c  numbers before the discussion of the Scheme numbers, hoping that this
@c  would help to motivate the discussion of representation independence.

@node Numerical types, Exactness, Numbers, Numbers
@subsection Numerical types

@cindex @w{numerical types}

@c %R4%% A Scheme system provides data of type \type{number}, which is the most
@c general numerical type supported by that system.
@c \type{Number} is
@c likely to be a complicated union type implemented in terms of
@c \type{fixnum}s, \type{bignum}s, \type{flonum}s, and so forth, but this
@c should not be apparent to a naive user.  What the user should see is
@c that the usual operations on numbers produce the mathematically
@c expected results, within the limits of the implementation.

@c %R4%%  I rewrote the following paragraph to make the various levels of
@c  the tower into subsets of each other, instead of relating them by
@c  injections.  I think the injections tended to put people in the frame
@c  of mind of thinking about coercions between non-overlapping numeric
@c  types in mainstream programming languages.

Mathematically, numbers may be arranged into a tower of subtypes
@c %R4%% with injections relating adjacent levels of the tower:
in which each level is a subset of the level above it:

@format
         @r{number} 
          @r{complex} 
          @r{real} 
          @r{rational} 
          @r{integer} 
@end format

For example, 3 is an integer.  Therefore 3 is also a rational,
a real, and a complex.  The same is true of the Scheme numbers
that model 3.  For Scheme numbers, these types are defined by the
predicates @code{number?}, @code{complex?}, @code{real?}, @code{rational?},
@cindex @w{rational?}
@cindex @w{real?}
@cindex @w{complex?}
@cindex @w{number?}
and @code{integer?}.
@cindex @w{integer?}

There is no simple relationship between a number's type and its
representation inside a computer.  Although most implementations of
Scheme will offer at least two different representations of 3, these
different representations denote the same integer.

@c %R4%% I moved "Implementations of Scheme are not required to implement
@c  the whole tower..." to the subsection on implementation restrictions.

Scheme's numerical operations treat numbers as abstract data, as
independent of their representation as possible.  Although an implementation
of Scheme may use fixnum, flonum, and perhaps other representations for
numbers, this should not be apparent to a casual programmer writing
simple programs.

It is necessary, however, to distinguish between numbers that are
represented exactly and those that may not be.  For example, indexes
into data structures must be known exactly, as must some polynomial
coefficients in a symbolic algebra system.  On the other hand, the
results of measurements are inherently inexact, and irrational numbers
may be approximated by rational and therefore inexact approximations.
In order to catch uses of inexact numbers where exact numbers are
required, Scheme explicitly distinguishes exact from inexact numbers.
This distinction is orthogonal to the dimension of type.

@node Exactness, Implementation restrictions, Numerical types, Numbers
@subsection Exactness

@c %R4%% I tried to direct the following paragraph away from philosophizing
@c  about the exactness of mathematical numbers, and toward philosophizing
@c  about the exactness of Scheme numbers.
 
@cindex @w{exactness}
Scheme numbers are either @i{exact} or @i{inexact}.  A number is
@r{exact} if it was written as an exact constant or was derived from
@r{exact} numbers using only @r{exact} operations.  A number is
@r{inexact} if it was written as an inexact constant,
@c %R4%% models a quantity (e.g., a measurement) known only approximately,
if it was
derived using @r{inexact} ingredients, or if it was derived using
@r{inexact} operations. Thus @r{inexact}ness is a contagious
property of a number.
@c %R4%% The rest of this paragraph (from R3RS) has been dropped.

If two implementations produce @r{exact} results for a
computation that did not involve @r{inexact} intermediate results,
the two ultimate results will be mathematically equivalent.  This is
generally not true of computations involving @r{inexact} numbers
since approximate methods such as floating point arithmetic may be used,
but it is the duty of each implementation to make the result as close as
practical to the mathematically ideal result.

Rational operations such as @samp{+} should always produce
@r{exact} results when given @r{exact} arguments.
@c %R4%%If an implementation is
@c unable to represent an \tupe{exact} result (for example, if it does not
@c support infinite precision integers and rationals)
If the operation is unable to produce an @r{exact} result,
then it may either report the violation of an implementation restriction
or it may silently coerce its
result to an @r{inexact} value.
@c %R4%%Such a coercion may cause an error later.
See section @ref{Implementation restrictions}.

With the exception of @code{inexact->exact}, the operations described in
@cindex @w{inexact->exact}
this section must generally return inexact results when given any inexact
arguments.  An operation may, however, return an @r{exact} result if it can
prove that the value of the result is unaffected by the inexactness of its
arguments.  For example, multiplication of any number by an @r{exact} zero
may produce an @r{exact} zero result, even if the other argument is
@r{inexact}.

@node Implementation restrictions, Syntax of numerical constants, Exactness, Numbers
@subsection Implementation restrictions

@cindex @w{implementation restriction}

Implementations of Scheme are not required to implement the whole
tower of subtypes given in section @ref{Numerical types},
but they must implement a coherent subset consistent with both the
purposes of the implementation and the spirit of the Scheme language.
For example, an implementation in which all numbers are @r{real}
may still be quite useful.

Implementations may also support only a limited range of numbers of
any type, subject to the requirements of this section.  The supported
range for @r{exact} numbers of any type may be different from the
supported range for @r{inexact} numbers of that type.  For example,
an implementation that uses flonums to represent all its
@r{inexact} @r{real} numbers may
support a practically unbounded range of @r{exact} @r{integer}s
and @r{rational}s
while limiting the range of @r{inexact} @r{real}s (and therefore
the range of @r{inexact} @r{integer}s and @r{rational}s)
to the dynamic range of the flonum format.
Furthermore
the gaps between the representable @r{inexact} @r{integer}s and
@r{rational}s are
likely to be very large in such an implementation as the limits of this
range are approached.

An implementation of Scheme must support exact integers
throughout the range of numbers that may be used for indexes of
lists, vectors, and strings or that may result from computing the length of a
list, vector, or string.  The @code{length}, @code{vector-length},
@cindex @w{vector-length}
@cindex @w{length}
and @code{string-length} procedures must return an exact
@cindex @w{string-length}
integer, and it is an error to use anything but an exact integer as an
index.  Furthermore any integer constant within the index range, if
expressed by an exact integer syntax, will indeed be read as an exact
integer, regardless of any implementation restrictions that may apply
outside this range.  Finally, the procedures listed below will always
return an exact integer result provided all their arguments are exact integers
and the mathematically expected result is representable as an exact integer
within the implementation:

@example
+            -             *
quotient     remainder     modulo
max          min           abs
numerator    denominator   gcd
lcm          floor         ceiling
truncate     round         rationalize
expt
@end example

Implementations are encouraged, but not required, to support
@r{exact} @r{integer}s and @r{exact} @r{rational}s of
practically unlimited size and precision, and to implement the
above procedures and the @samp{/} procedure in
such a way that they always return @r{exact} results when given @r{exact}
arguments.  If one of these procedures is unable to deliver an @r{exact}
result when given @r{exact} arguments, then it may either report a
violation of an
implementation restriction or it may silently coerce its result to an
@r{inexact} number.  Such a coercion may cause an error later.

@c %R4%% I moved this stuff here.
@c  It seems to me that the only thing that this requires is that
@c  implementations that support inexact numbers have to have both
@c  exact and inexact representations for the integers 0 through 15.
@c  If that's what it's saying, I'd rather say it that way.
@c  On the other hand, letting the limit be as small as 15 sounds a
@c  tad silly, though I think I understand how that number was arrived at.
@c  (Or is 35 the number?)

@c Implementations are encouraged, but not required, to support \tupe{inexact}
@c numbers.  For any implementation that supports \tupe{inexact} numbers,
@c there is a subset of the integers for which there are both \tupe{exact} and
@c \tupe{inexact} representations.  This subset must include all non-negative
@c integers up to some limit specified by the implementation.  This limit
@c must be 16 or greater.  The
@c \ide{exact\coerce{}inexact} and \ide{inexact\coerce{}exact}
@c procedures implement the natural one-to-one correspondence between
@c the \tupe{inexact} and \tupe{exact} integers within this range.

An implementation may use floating point and other approximate 
representation strategies for @r{inexact} numbers.
@c %R4%% The following sentence seemed a bit condescending as well as
@c  awkward.  It didn't seem to be very enforceable, so I flushed it.

@c This is not to
@c say that implementors need not use the best known algorithms for
@c \tupe{inexact} computations---only that approximate methods of high
@c quality are allowed.

This report recommends, but does not require, that the IEEE 32-bit
and 64-bit floating point standards be followed by implementations that use
flonum representations, and that implementations using
other representations should match or exceed the precision achievable
using these floating point standards [IEEE].

In particular, implementations that use flonum representations
must follow these rules: A @r{flonum} result
must be represented with at least as much precision as is used to express any of
the inexact arguments to that operation.  It is desirable (but not required) for
potentially inexact operations such as @samp{sqrt}, when applied to @r{exact}
arguments, to produce @r{exact} answers whenever possible (for example the
square root of an @r{exact} 4 ought to be an @r{exact} 2).
If, however, an
@r{exact} number is operated upon so as to produce an @r{inexact} result
(as by @samp{sqrt}), and if the result is represented as a @r{flonum}, then
the most precise @r{flonum} format available must be used; but if the result
is represented in some other way then the representation must have at least as
much precision as the most precise @r{flonum} format available.

Although Scheme allows a variety of written
@c %R4%% representations of 
notations for
numbers, any particular implementation may support only some of them.
@c %R4%%
For example, an implementation in which all numbers are @r{real}
need not support the rectangular and polar notations for complex
numbers.  If an implementation encounters an @r{exact} numerical constant that
it cannot represent as an @r{exact} number, then it may either report a
violation of an implementation restriction or it may silently represent the
constant by an @r{inexact} number.

@node Syntax of numerical constants, Numerical operations, Implementation restrictions, Numbers
@subsection Syntax of numerical constants

@c @@@@LOSE@@@@

@c %R4%%  I removed the following paragraph in an attempt to tighten up
@c  this subsection.  Except for its first sentence, which I moved to
@c  the subsection on implementation restrictions, I think its content
@c  is implied by the rest of the section.

@c Although Scheme allows a variety of written representations of numbers,
@c any particular implementation may support only some of them.
@c These syntaxes are intended to be purely notational; any kind of number
@c may be written in any form that the user deems convenient.  Of course,
@c writing 1/7 as a limited-precision decimal fraction will not express the
@c number exactly, but this approximate form of expression may be just what
@c the user wants to see.

The syntax of the written representations for numbers is described formally in
section @ref{Lexical structure}.  Note that case is not significant in numerical
constants.

@c %R4%%  See section~\ref{numberformats} for many examples.

A number may be written in binary, octal, decimal, or
hexadecimal by the use of a radix prefix.  The radix prefixes are @samp{#b} (binary), @samp{#o} (octal), @samp{#d} (decimal), and @samp{#x} (hexadecimal).  With
@cindex #x
@cindex #d
@cindex #o
@cindex #b
@cindex #l
@cindex #e
@cindex integer (long integer notation)
no radix prefix, a number is assumed to be expressed in decimal.

A
@c %R4%%
@c  simple
numerical constant may be specified to be either @r{exact} or
@r{inexact} by a prefix.  The prefixes are @samp{#e}
@cindex #e
for @r{exact}, and @samp{#i} for @r{inexact}.  An exactness
@cindex #i
prefix may appear before or after any radix prefix that is used.  If
the written representation of a number has no exactness prefix, the
constant may be either @r{inexact} or @r{exact}.  It is
@r{inexact} if it contains a decimal point, an
exponent, or a ``#'' character in the place of a digit,
otherwise it is @r{exact}.
@c %R4%%  With our new syntax, the following sentence is redundant:

@c The written representation of a
@c compound number, such as a ratio or a complex, is exact if and only if
@c all of its constituents are exact.

In systems with @r{inexact} numbers
of varying precisions it may be useful to specify
the precision of a constant.  For this purpose, numerical constants
may be written with an exponent marker that indicates the
desired precision of the @r{inexact}
representation.  The letters @samp{s}, @samp{f},
@samp{d}, and @samp{l} specify the use of @var{short}, @var{single},
@var{double}, and @var{long} precision, respectively.  (When fewer
than four internal
@c %R4%%\tupe{flonum}
@r{inexact}
representations exist, the four size
specifications are mapped onto those available.  For example, an
implementation with two internal representations may map short and
single together and long and double together.)  In addition, the
exponent marker @samp{e} specifies the default precision for the
implementation.  The default precision has at least as much precision
as @var{double}, but
implementations may wish to allow this default to be set by the user.

@smalllisp
3.14159265358979F0
       @r{Round to single ---} 3.141593
0.6L0
       @r{Extend to long ---} .600000000000000
@end smalllisp

@node Numerical operations, Numerical input and output, Syntax of numerical constants, Numbers
@subsection Numerical operations

The reader is referred to section @ref{Entry format} for a summary
of the naming conventions used to specify restrictions on the types of
arguments to numerical routines.
@c %R4%% The following sentence has already been said twice, and the
@c  term "exactness-preserving" is no longer defined by the Report.

@c   Remember that
@c an exactness-preserving operation may coerce its result to inexact if the
@c implementation is unable to represent it exactly.
The examples used in this section assume that any numerical constant written
using an @r{exact} notation is indeed represented as an @r{exact}
number.  Some examples also assume that certain numerical constants written
using an @r{inexact} notation can be represented without loss of
accuracy; the @r{inexact} constants were chosen so that this is
likely to be true in implementations that use flonums to represent
inexact numbers.

@ignore todo
Scheme provides the usual set of operations for manipulating
numbers, etc.
@end ignore

@deffn {procedure} number?  obj
@deffnx {procedure} complex?  obj
@deffnx {procedure} real?  obj
@deffnx {procedure} rational?  obj
@deffnx {procedure} integer?  obj

These numerical type predicates can be applied to any kind of
argument, including non-numbers.  They return @t{#t} if the object is
of the named type, and otherwise they return @t{#f}.
In general, if a type predicate is true of a number then all higher
type predicates are also true of that number.  Consequently, if a type
predicate is false of a number, then all lower type predicates are
also false of that number.
@c %R4%% The new section on implementation restrictions subsumes: 
@c  Not every system
@c supports all of these types; for example, it is entirely possible to have a
@c Scheme system that has only \tupe{integer}s.  Nonetheless every implementation
@c of Scheme must have all of these predicates.

If @var{z} is an inexact complex number, then @samp{(real? @var{z})} is true if
and only if @samp{(zero? (imag-part @var{z}))} is true.  If @var{x} is an inexact
real number, then @samp{(integer? @var{x})} is true if and only if
@samp{(= @var{x} (round @var{x}))}.

@smalllisp
(complex? 3+4i)                        @result{}  #t
(complex? 3)                           @result{}  #t
(real? 3)                              @result{}  #t
(real? -2.5+0.0i)                      @result{}  #t
(real? #e1e10)                         @result{}  #t
(rational? 6/10)                       @result{}  #t
(rational? 6/3)                        @result{}  #t
(integer? 3+0i)                        @result{}  #t
(integer? 3.0)                         @result{}  #t
(integer? 8/4)                         @result{}  #t
@end smalllisp

@quotation
@emph{Note:}
The behavior of these type predicates on @r{inexact} numbers
is unreliable, since any inaccuracy may affect the result.
@end quotation

@quotation
@emph{Note:}
In many implementations the @code{rational?} procedure will be the same
@cindex @w{rational?}
as @code{real?}, and the @code{complex?} procedure will be the same as
@cindex @w{complex?}
@cindex @w{real?}
@code{number?}, but unusual implementations may be able to represent
@cindex @w{number?}
some irrational numbers exactly or may extend the number system to
support some kind of non-complex numbers.
@end quotation
@end deffn

@deffn {procedure} exact?  @var{z}
@deffnx {procedure} inexact?  @var{z}

These numerical predicates provide tests for the exactness of a
quantity.  For any Scheme number, precisely one of these predicates
is true.
@end deffn

@deffn {procedure} =  z1 z2 z3 @dots{},
@deffnx {procedure} <  x1 x2 x3 @dots{},
@deffnx {procedure} >  x1 x2 x3 @dots{},
@deffnx {procedure} <=  x1 x2 x3 @dots{},
@deffnx {procedure} >=  x1 x2 x3 @dots{},

@c - Some implementations allow these procedures to take many arguments, to 
@c - facilitate range checks.  
These procedures return @t{#t} if their arguments are (respectively):
equal, monotonically increasing, monotonically decreasing,
monotonically nondecreasing, or monotonically nonincreasing.

These predicates are required to be transitive.

@quotation
@emph{Note:}
The traditional implementations of these predicates in Lisp-like
languages are not transitive.
@end quotation

@quotation
@emph{Note:}
While it is not an error to compare @r{inexact} numbers using these
predicates, the results may be unreliable because a small inaccuracy
may affect the result; this is especially true of @code{=} and @code{zero?}.
@cindex @w{zero?}
@cindex @w{=}
When in doubt, consult a numerical analyst.
@end quotation

@end deffn

@deffn {library procedure} zero?  @var{z}
@deffnx {library procedure} positive?  @var{x}
@deffnx {library procedure} negative?  @var{x}
@deffnx {library procedure} odd?  @var{n}
@deffnx {library procedure} even?  @var{n}

These numerical predicates test a number for a particular property,
returning @t{#t} or @t{#f}.  See note above.

@end deffn

@deffn {library procedure} max  x1 x2 @dots{},
@deffnx {library procedure} min  x1 x2 @dots{},

These procedures return the maximum or minimum of their arguments.

@smalllisp
(max 3 4)                              @result{}  4    ; exact
(max 3.9 4)                            @result{}  4.0  ; inexact
@end smalllisp

@quotation
@emph{Note:}
If any argument is inexact, then the result will also be inexact (unless
the procedure can prove that the inaccuracy is not large enough to affect the
result, which is possible only in unusual implementations).  If @samp{min} or
@samp{max} is used to compare numbers of mixed exactness, and the numerical
value of the result cannot be represented as an inexact number without loss of
accuracy, then the procedure may report a violation of an implementation
restriction.
@end quotation
@end deffn

@deffn {procedure} +  z1 @dots{},
@deffnx {procedure} *  z1 @dots{},

These procedures return the sum or product of their arguments.
@c - These procedures are exactness preserving.

@smalllisp
(+ 3 4)                                @result{}  7
(+ 3)                                  @result{}  3
(+)                                    @result{}  0
(* 4)                                  @result{}  4
(*)                                    @result{}  1
@end smalllisp
@end deffn

@deffn {procedure} -  z1 z2
@deffnx {procedure} -  @var{z}
@deffnx {optional procedure} -  z1 z2 @dots{},
@deffnx {procedure} /  z1 z2
@deffnx {procedure} /  @var{z}
@deffnx {optional procedure} /  z1 z2 @dots{},

With two or more arguments, these procedures return the difference or
quotient of their arguments, associating to the left.  With one argument,
however, they return the additive or multiplicative inverse of their argument.
@c - These procedures are exactness preserving, except that division may
@c - coerce its result to inexact in implementations that do not support
@c - \tupe{ratnum}s. 

@smalllisp
(- 3 4)                                @result{}  -1
(- 3 4 5)                              @result{}  -6
(- 3)                                  @result{}  -3
(/ 3 4 5)                              @result{}  3/20
(/ 3)                                  @result{}  1/3
@end smalllisp
@end deffn

@deffn {library procedure} abs  x
@samp{Abs} returns the absolute value of its argument.  
@c - {\cf Abs} is exactness preserving when its argument is real.

@smalllisp
(abs -7)                               @result{}  7
@end smalllisp
@end deffn

@deffn {procedure} quotient  n1 n2
@deffnx {procedure} remainder  n1 n2
@deffnx {procedure} modulo  n1 n2

These procedures implement number-theoretic (integer)
division.  @var{n2} should be non-zero.  All three procedures
return integers.  If @var{n1}/@var{n2} is an integer:

@smalllisp
    (quotient @var{n1} @var{n2})                   @result{} @var{n1}/@var{n2}
    (remainder @var{n1} @var{n2})                  @result{} 0
    (modulo @var{n1} @var{n2})                     @result{} 0
@end smalllisp

If @var{n1}/@var{n2} is not an integer:

@smalllisp
    (quotient @var{n1} @var{n2})                   @result{} @var{n_q}
    (remainder @var{n1} @var{n2})                  @result{} @var{n_r}
    (modulo @var{n1} @var{n2})                     @result{} @var{n_m}
@end smalllisp

where @var{n_q} is @var{n1}/@var{n2} rounded towards zero,
0 < |@var{n_r}| < |@var{n2}|, 0 < |@var{n_m}| < |@var{n2}|,
@var{n_r} and @var{n_m} differ from @var{n1} by a multiple of @var{n2},
@var{n_r} has the same sign as @var{n1}, and
@var{n_m} has the same sign as @var{n2}.

From this we can conclude that for integers @var{n1} and @var{n2} with
@var{n2} not equal to 0,

@smalllisp
     (= @var{n1} (+ (* @var{n2} (quotient @var{n1} @var{n2}))
           (remainder @var{n1} @var{n2})))
                                       @result{}  #t
@end smalllisp

provided all numbers involved in that computation are exact.

@smalllisp
(modulo 13 4)                          @result{}  1
(remainder 13 4)                       @result{}  1

(modulo -13 4)                         @result{}  3
(remainder -13 4)                      @result{}  -1

(modulo 13 -4)                         @result{}  -3
(remainder 13 -4)                      @result{}  1

(modulo -13 -4)                        @result{}  -1
(remainder -13 -4)                     @result{}  -1

(remainder -13 -4.0)                   @result{}  -1.0  ; inexact
@end smalllisp
@end deffn

@deffn {library procedure} gcd  n1 @dots{},
@deffnx {library procedure} lcm  n1 @dots{},

These procedures return the greatest common divisor or least common
multiple of their arguments.  The result is always non-negative.
@c - These procedures are exactness preserving.

@c %R4%% I added the inexact example.

@smalllisp
(gcd 32 -36)                           @result{}  4
(gcd)                                  @result{}  0
(lcm 32 -36)                           @result{}  288
(lcm 32.0 -36)                         @result{}  288.0  ; inexact
(lcm)                                  @result{}  1
@end smalllisp
@end deffn

@deffn {procedure} numerator  @var{q}
@deffnx {procedure} denominator  @var{q}

These procedures return the numerator or denominator of their
argument; the result is computed as if the argument was represented as
a fraction in lowest terms.  The denominator is always positive.  The
denominator of 0 is defined to be 1.
@c - The remarks about denominators are new.
@c - Clearly, they are exactness-preserving procedures.

@ignore todo
More description and examples needed.
@end ignore

@smalllisp
(numerator (/ 6 4))                    @result{}  3
(denominator (/ 6 4))                  @result{}  2
(denominator
  (exact->inexact (/ 6 4)))            @result{} 2.0
@end smalllisp
@end deffn

@deffn {procedure} floor  x
@deffnx {procedure} ceiling  x
@deffnx {procedure} truncate  x
@deffnx {procedure} round  x

These procedures return integers.
@samp{Floor} returns the largest integer not larger than @var{x}.
@samp{Ceiling} returns the smallest integer not smaller than @var{x}.
@samp{Truncate} returns the integer closest to @var{x} whose absolute
value is not larger than the absolute value of @var{x}.  @samp{Round} returns the
closest integer to @var{x}, rounding to even when @var{x} is halfway between two
integers.

@sp 1
@emph{Rationale:}
@samp{Round} rounds to even for consistency with the default rounding
mode specified by the IEEE floating point standard.

@quotation
@emph{Note:}
If the argument to one of these procedures is inexact, then the result
will also be inexact.  If an exact value is needed, the
result should be passed to the @samp{inexact->exact} procedure.
@end quotation

@smalllisp
(floor -4.3)                           @result{}  -5.0
(ceiling -4.3)                         @result{}  -4.0
(truncate -4.3)                        @result{}  -4.0
(round -4.3)                           @result{}  -4.0

(floor 3.5)                            @result{}  3.0
(ceiling 3.5)                          @result{}  4.0
(truncate 3.5)                         @result{}  3.0
(round 3.5)                            @result{}  4.0  ; inexact

(round 7/2)                            @result{}  4    ; exact
(round 7)                              @result{}  7
@end smalllisp
@end deffn

@deffn {library procedure} rationalize  x y
@c - \proto{rationalize}{ x}{procedure}

@samp{Rationalize} returns the @emph{simplest} rational number
differing from @var{x} by no more than @var{y}.  A rational number r_1 is
@emph{simpler}  than another rational number
@cindex @w{simplest rational}
r_2 if r_1 = p_1/q_1 and r_2 = p_2/q_2 (in lowest terms) and |p_1|<= |p_2| and |q_1| <= |q_2|.  Thus 3/5 is simpler than 4/7.
Although not all rationals are comparable in this ordering (consider 2/7
and 3/5) any interval contains a rational number that is simpler than
every other rational number in that interval (the simpler 2/5 lies
between 2/7 and 3/5).  Note that 0 = 0/1 is the simplest rational of
all.

@smalllisp
(rationalize
  (inexact->exact .3) 1/10)            @result{} 1/3    ; exact
(rationalize .3 1/10)                  @result{} #i1/3  ; inexact
@end smalllisp
@end deffn

@deffn {procedure} exp  @var{z}
@deffnx {procedure} log  @var{z}
@deffnx {procedure} sin  @var{z}
@deffnx {procedure} cos  @var{z}
@deffnx {procedure} tan  @var{z}
@deffnx {procedure} asin  @var{z}
@deffnx {procedure} acos  @var{z}
@deffnx {procedure} atan  @var{z}
@deffnx {procedure} atan  @var{y} @var{x}

These procedures are part of every implementation that supports
@c %R4%%
general
real numbers; they compute the usual transcendental functions.  @samp{Log}
computes the natural logarithm of @var{z} (not the base ten logarithm).
@samp{Asin}, @samp{acos}, and @samp{atan} compute arcsine (sin^-1),
arccosine (cos^-1), and arctangent (tan^-1), respectively.
The two-argument variant of @samp{atan} computes @t{(angle
(make-rectangular @var{x} @var{y}))} (see below), even in implementations
that don't support general complex numbers.

In general, the mathematical functions log, arcsine, arccosine, and
arctangent are multiply defined.
The value of log z is defined to be the one whose imaginary
part lies in the range from -pi (exclusive) to pi (inclusive).
log 0 is undefined.
With log defined this way, the values of sin^-1 z, cos^-1 z,
and tan^-1 z are according to the following formulae:

@center sin^-1 z = -i log (i z + sqrt1 - z^2)
@center cos^-1 z = pi / 2 - sin^-1 z
@center tan^-1 z = (log (1 + i z) - log (1 - i z)) / (2 i)

The above specification follows [CLtL], which in turn
cites [Penfield81]; refer to these sources for more detailed
discussion of branch cuts, boundary conditions, and implementation of
these functions.  When it is possible these procedures produce a real
result from a real argument.

@c %R4%%

@ignore todo
The cited references are likely to change their branch cuts
soon to allow for the possibility of distinct positive and negative
zeroes, as in IEEE floating point.  We may not want to follow those
changes, since we may want a complex number with zero imaginary part
(whether positive or negative zero) to be treated as a real.  I don't
think there are any better standards for complex arithmetic than the
ones cited, so we're really on our own here.
@end ignore
@end deffn

@deffn {procedure} sqrt  @var{z}

Returns the principal square root of @var{z}.  The result will have
either positive real part, or zero real part and non-negative imaginary
part.
@end deffn

@deffn {procedure} expt  z1 z2

Returns @var{z1} raised to the power @var{z2}.  For z_1 ~= 0

@center z_1^z_2 = e^z_2 log z_1

0^z is 1 if z = 0 and 0 otherwise.
@end deffn

@c - \begin{entry}{%- 
@c - \proto{approximate}{ z x}{procedure}}
@c - 
@c - Returns an approximation to \vr{z} in a representation whose precision is
@c - the same as that 
@c - of the representation of \vr{x}, which must be an inexact number.  The
@c - result is always inexact.
@c - 
@c - \begin{scheme}
@c - (approximate 3.1415926535 1F10)
@c -         \ev  3.14159F0
@c - (approximate 3.1415926535 \#I65535)
@c -         \ev \#I3
@c - (approximate 3.14F0 1L8)
@c -         \ev  3.14L0
@c - (approximate 3.1415926535F0 1L8)
@c -         \ev  3.14159L0
@c - \end{scheme}
@c - \end{entry}

@deffn {procedure} make-rectangular  x1 x2
@deffnx {procedure} make-polar  x3 x4
@deffnx {procedure} real-part  @var{z}
@deffnx {procedure} imag-part  @var{z}
@deffnx {procedure} magnitude  @var{z}
@deffnx {procedure} angle  @var{z}

These procedures are part of every implementation that supports
@c %R4%%
general
complex numbers.  Suppose @var{x1}, @var{x2}, @var{x3}, and @var{x4} are
real numbers and @var{z} is a complex number such that

@center  @var{z} = @var{x1} + @var{x2}@w{i} = @var{x3} . e^@w{i} @var{x4}

Then

@smalllisp
(make-rectangular @var{x1} @var{x2})               @result{} @var{z}
(make-polar @var{x3} @var{x4})                     @result{} @var{z}
(real-part @var{z})                          @result{} @var{x1}
(imag-part @var{z})                          @result{} @var{x2}
(magnitude @var{z})                          @result{} |@var{x3}|
(angle @var{z})                              @result{} x_angle
@end smalllisp

where -pi < x_angle <= pi with x_angle = @var{x4} + 2pi n
for some integer n.

@sp 1
@emph{Rationale:}
@samp{Magnitude} is the same as @code{abs} for a real argument,
@cindex @w{abs}
but @samp{abs} must be present in all implementations, whereas
@samp{magnitude} need only be present in implementations that support
general complex numbers.
@end deffn

@deffn {procedure} exact->inexact  @var{z}
@deffnx {procedure} inexact->exact  @var{z}

@samp{Exact->inexact} returns an @r{inexact} representation of @var{z}.
The value returned is the
@r{inexact} number that is numerically closest to the argument.  
@c %R4%%For
@c \tupe{exact} arguments which have no reasonably close \tupe{inexact} equivalent,
@c it is permissible to signal an error.
If an @r{exact} argument has no reasonably close @r{inexact} equivalent,
then a violation of an implementation restriction may be reported.

@samp{Inexact->exact} returns an @r{exact} representation of
@var{z}.  The value returned is the @r{exact} number that is numerically
closest to the argument.
@c %R4%%  For \tupe{inexact} arguments which have no
@c reasonably close \tupe{exact} equivalent, it is permissible to signal
@c an error.
If an @r{inexact} argument has no reasonably close @r{exact} equivalent,
then a violation of an implementation restriction may be reported.

@c %R%% I moved this to the section on implementation restrictions.
@c For any implementation that supports \tupe{inexact} quantities,
@c there is a subset of the integers for which there are both \tupe{exact} and
@c \tupe{inexact} representations.  This subset must include the non-negative
@c integers up to a limit specified by the implementation.  The limit
@c must be big enough to represent all digits in reasonable radices, and
@c may correspond to some natural word size for the implementation.  For
@c such integers, these procedures implement the natural one-to-one
@c correspondence between the representations.

These procedures implement the natural one-to-one correspondence between
@r{exact} and @r{inexact} integers throughout an
implementation-dependent range.  See section @ref{Implementation restrictions}.
@end deffn

@sp 3

@node Numerical input and output,  , Numerical operations, Numbers
@subsection Numerical input and output

@deffn {procedure} number->string  z
@deffnx {procedure} number->string  z radix

@var{Radix} must be an exact integer, either 2, 8, 10, or 16.  If omitted,
@var{radix} defaults to 10.
The procedure @samp{number->string} takes a
number and a radix and returns as a string an external representation of
the given number in the given radix such that

@smalllisp
(let ((number @var{number})
      (radix @var{radix}))
  (eqv? number
        (string->number (number->string number
                                        radix)
                        radix)))
@end smalllisp

is true.  It is an error if no possible result makes this expression true.

If @var{z} is inexact, the radix is 10, and the above expression
can be satisfied by a result that contains a decimal point,
then the result contains a decimal point and is expressed using the
minimum number of digits (exclusive of exponent and trailing
zeroes) needed to make the above expression
true [howtoprint], [howtoread];
otherwise the format of the result is unspecified.

The result returned by @samp{number->string}
never contains an explicit radix prefix.

@quotation
@emph{Note:}
The error case can occur only when @var{z} is not a complex number
or is a complex number with a non-rational real or imaginary part.
@end quotation

@sp 1
@emph{Rationale:}
If @var{z} is an inexact number represented using flonums, and
the radix is 10, then the above expression is normally satisfied by
a result containing a decimal point.  The unspecified case
allows for infinities, NaNs, and non-flonum representations.
@end deffn

@deffn {procedure} string->number  string
@deffnx {procedure} string->number  string radix

@c %R4%% I didn't include the (string->number string radix exactness)
@c  case, since I haven't heard any resolution of the coding to be used
@c  for the third argument.

Returns a number of the maximally precise representation expressed by the
given @var{string}.  @var{Radix} must be an exact integer, either 2, 8, 10,
or 16.  If supplied, @var{radix} is a default radix that may be overridden
by an explicit radix prefix in @var{string} (e.g. @t{"#o177"}).  If @var{radix}
is not supplied, then the default radix is 10.  If @var{string} is not
a syntactically valid notation for a number, then @samp{string->number}
returns @t{#f}.

@smalllisp
(string->number "100")                 @result{}  100
(string->number "100" 16)              @result{}  256
(string->number "1e2")                 @result{}  100.0
(string->number "15##")                @result{}  1500.0
@end smalllisp

@quotation
@emph{Note:}
The domain of @samp{string->number} may be restricted by implementations
in the following ways.  @samp{String->number} is permitted to return
@t{#f} whenever @var{string} contains an explicit radix prefix.
If all numbers supported by an implementation are real, then
@samp{string->number} is permitted to return @t{#f} whenever
@var{string} uses the polar or rectangular notations for complex
numbers.  If all numbers are integers, then
@samp{string->number} may return @t{#f} whenever
the fractional notation is used.  If all numbers are exact, then
@samp{string->number} may return @t{#f} whenever
an exponent marker or explicit exactness prefix is used, or if
a @t{#} appears in place of a digit.  If all inexact
numbers are integers, then
@samp{string->number} may return @t{#f} whenever
a decimal point is used.
@end quotation
@end deffn

@node Other data types, Control features, Numbers, Standard procedures
@section Other data types

@menu
* Booleans::                    
* Pairs and lists::             
* Symbols::                     
* Characters::                  
* Strings::                     
* Vectors::                     
@end menu

This section describes operations on some of Scheme's non-numeric data types:
booleans, pairs, lists, symbols, characters, strings and vectors.

@node Booleans, Pairs and lists, Other data types, Other data types
@subsection Booleans

The standard boolean objects for true and false are written as
@t{#t} and @t{#f}.  What really
@cindex #f
@cindex #t
matters, though, are the objects that the Scheme conditional expressions
(@samp{if}, @samp{cond}, @samp{and}, @samp{or}, @samp{do}) treat as
true or false.  The phrase ``a true value''
@cindex @w{false}
@cindex @w{true}
(or sometimes just ``true'') means any object treated as true by the
conditional expressions, and the phrase ``a false value'' (or
@cindex @w{false}
``false'') means any object treated as false by the conditional expressions.

Of all the standard Scheme values, only @t{#f}
@c  is guaranteed to count
counts as false in conditional expressions.
@c   It is not
@c  specified whether the empty list\index{empty list} counts as false
@c  or as true in conditional expressions.
Except for @t{#f},
@c  and possibly the empty list,
all standard Scheme values, including @t{#t},
pairs, the empty list, symbols, numbers, strings, vectors, and procedures,
count as true.

@c \begin{note}
@c In some implementations the empty list counts as false, contrary
@c to the above.
@c Nonetheless a few examples in this report assume that the
@c empty list counts as true, as in \cite{IEEEScheme}.
@c \end{note}

@c  \begin{rationale}
@c  For historical reasons some implementations regard \schfalse{} and the
@c  empty list as the same object.  These implementations therefore cannot
@c  make the empty list count as true in conditional expressions.
@c  \end{rationale}

@quotation
@emph{Note:}
Programmers accustomed to other dialects of Lisp should be aware that
Scheme distinguishes both @t{#f} and the empty list 
@cindex @w{empty list}
from the symbol @code{nil}.
@cindex @w{nil}
@end quotation

Boolean constants evaluate to themselves, so they do not need to be quoted
in programs.

@smalllisp
#t                                     @result{}  #t
#f                                     @result{}  #f
'#f                                    @result{}  #f
@end smalllisp

@deffn {library procedure} not  obj

@samp{Not} returns @t{#t} if @var{obj} is false, and returns
@t{#f} otherwise.

@smalllisp
(not #t)                               @result{}  #f
(not 3)                                @result{}  #f
(not (list 3))                         @result{}  #f
(not #f)                               @result{}  #t
(not '())                              @result{}  #f
(not (list))                           @result{}  #f
(not 'nil)                             @result{}  #f
@end smalllisp
@end deffn

@deffn {library procedure} boolean?  obj

@samp{Boolean?} returns @t{#t} if @var{obj} is either @t{#t} or
@t{#f} and returns @t{#f} otherwise.

@smalllisp
(boolean? #f)                          @result{}  #t
(boolean? 0)                           @result{}  #f
(boolean? '())                         @result{}  #f
@end smalllisp

@end deffn
 
@node Pairs and lists, Symbols, Booleans, Other data types
@subsection Pairs and lists

A @dfn{pair} (sometimes called a @dfn{dotted pair}) is a
@cindex @w{dotted pair}
@cindex @w{pair}
record structure with two fields called the car and cdr fields (for
historical reasons).  Pairs are created by the procedure @samp{cons}.
The car and cdr fields are accessed by the procedures @samp{car} and
@samp{cdr}.  The car and cdr fields are assigned by the procedures
@samp{set-car!} and @samp{set-cdr!}.

Pairs are used primarily to represent lists.  A list can
be defined recursively as either the empty list or a pair whose
@cindex @w{empty list}
cdr is a list.  More precisely, the set of lists is defined as the smallest
set @var{X} such that

@itemize @bullet

@item
The empty list is in @var{X}.
@item
If @var{list} is in @var{X}, then any pair whose cdr field contains
@var{list} is also in @var{X}.

@end itemize

The objects in the car fields of successive pairs of a list are the
elements of the list.  For example, a two-element list is a pair whose car
is the first element and whose cdr is a pair whose car is the second element
and whose cdr is the empty list.  The length of a list is the number of
elements, which is the same as the number of pairs.

The empty list is a special object of its own type
@cindex @w{empty list}
(it is not a pair); it has no elements and its length is zero.

@quotation
@emph{Note:}
The above definitions imply that all lists have finite length and are
terminated by the empty list.
@end quotation

The most general notation (external representation) for Scheme pairs is
the ``dotted'' notation @w{@samp{(@var{c1} .@: @var{c2})}} where
@var{c1} is the value of the car field and @var{c2} is the value of the
cdr field.  For example @samp{(4 .@: 5)} is a pair whose car is 4 and whose
cdr is 5.  Note that @samp{(4 .@: 5)} is the external representation of a
pair, not an expression that evaluates to a pair.

A more streamlined notation can be used for lists: the elements of the
list are simply enclosed in parentheses and separated by spaces.  The
empty list is written @t{()} .  For example,
@cindex @w{empty list}

@smalllisp
(a b c d e)
@end smalllisp

and

@smalllisp
(a . (b . (c . (d . (e . ())))))
@end smalllisp

are equivalent notations for a list of symbols.

A chain of pairs not ending in the empty list is called an
@dfn{improper list}.  Note that an improper list is not a list.
@cindex @w{improper list}
The list and dotted notations can be combined to represent
improper lists:

@smalllisp
(a b c . d)
@end smalllisp

is equivalent to

@smalllisp
(a . (b . (c . d)))
@end smalllisp

Whether a given pair is a list depends upon what is stored in the cdr
field.  When the @code{set-cdr!} procedure is used, an object can be a
@cindex @w{set-cdr!}
list one moment and not the next:

@smalllisp
(define x (list 'a 'b 'c))
(define y x)
y                                      @result{}  (a b c)
(list? y)                              @result{}  #t
(set-cdr! x 4)                         @result{}  @emph{unspecified}
x                                      @result{}  (a . 4)
(eqv? x y)                             @result{}  #t
y                                      @result{}  (a . 4)
(list? y)                              @result{}  #f
(set-cdr! x x)                         @result{}  @emph{unspecified}
(list? x)                              @result{}  #f
@end smalllisp

@c It is often convenient to speak of a homogeneous list of objects
@c of some particular data type, as for example \hbox{\cf (1 2 3)} is a list of
@c integers.  To be more precise, suppose \var{D} is some data type.  (Any
@c predicate defines a data type consisting of those objects of which the
@c predicate is true.)  Then

@c \begin{itemize}
@c \item The empty list is a list of \var{D}.
@c \item If \var{list} is a list of \var{D}, then any pair whose cdr is
@c       \var{list} and whose car is an element of the data type \var{D} is also a
@c       list of \var{D}.
@c \item There are no other lists of \var{D}.
@c \end{itemize}

Within literal expressions and representations of objects read by the
@code{read} procedure, the forms @t{'}@r{<datum>},
@cindex '
@cindex @w{read}
@t{`}@r{<datum>}, @t{,}@r{<datum>}, and
@cindex ,
@t{,@@}@r{<datum>} denote two-ele@-ment lists whose first elements are
the symbols @code{quote}, @code{quasiquote}, @w{@code{unquote}}, and
@cindex @w{unquote}
@cindex @w{quasiquote}
@cindex @w{quote}
@code{unquote-splicing}, respectively.  The second element in each case
@cindex @w{unquote-splicing}
is @r{<datum>}.  This convention is supported so that arbitrary Scheme
programs may be represented as lists.  
@ignore todo
Can or need this be stated
more carefully?
@end ignore
 That is, according to Scheme's grammar, every
<expression> is also a <datum> (see section @ref{External representation}).
Among other things, this permits the use of the @samp{read} procedure to
parse Scheme programs.  See section @ref{External representations}. 

@deffn {procedure} pair?  obj

@samp{Pair?} returns @t{#t} if @var{obj} is a pair, and otherwise
returns @t{#f}.

@smalllisp
(pair? '(a . b))                       @result{}  #t
(pair? '(a b c))                       @result{}  #t
(pair? '())                            @result{}  #f
(pair? '#(a b))                        @result{}  #f
@end smalllisp
@end deffn

@deffn {procedure} cons  obj1 obj2

Returns a newly allocated pair whose car is @var{obj1} and whose cdr is
@var{obj2}.  The pair is guaranteed to be different (in the sense of
@samp{eqv?}) from every existing object.

@smalllisp
(cons 'a '())                          @result{}  (a)
(cons '(a) '(b c d))                   @result{}  ((a) b c d)
(cons "a" '(b c))                      @result{}  ("a" b c)
(cons 'a 3)                            @result{}  (a . 3)
(cons '(a b) 'c)                       @result{}  ((a b) . c)
@end smalllisp
@end deffn

@deffn {procedure} car  pair

@ignore nodomain
@var{Pair} must be a pair.
@end ignore

Returns the contents of the car field of @var{pair}.  Note that it is an
error to take the car of the empty list.
@cindex @w{empty list}

@smalllisp
(car '(a b c))                         @result{}  a
(car '((a) b c d))                     @result{}  (a)
(car '(1 . 2))                         @result{}  1
(car '())                              @result{}  @emph{error}
@end smalllisp
@end deffn

@deffn {procedure} cdr  pair
@ignore nodomain
@var{Pair} must be a pair.
@end ignore

Returns the contents of the cdr field of @var{pair}.
Note that it is an error to take the cdr of the empty list.

@smalllisp
(cdr '((a) b c d))                     @result{}  (b c d)
(cdr '(1 . 2))                         @result{}  2
(cdr '())                              @result{}  @emph{error}
@end smalllisp
@end deffn

@deffn {procedure} set-car!  pair obj

@ignore nodomain
@var{Pair} must be a pair.
@end ignore
  
Stores @var{obj} in the car field of @var{pair}.
The value returned by @samp{set-car!} is unspecified.  
@c  <!>
@c This procedure can be very confusing if used indiscriminately.

@smalllisp
(define (f) (list 'not-a-constant-list))
(define (g) '(constant-list))
(set-car! (f) 3)                       @result{}  @emph{unspecified}
(set-car! (g) 3)                       @result{}  @emph{error}
@end smalllisp
@end deffn

@deffn {procedure} set-cdr!  pair obj
@ignore nodomain
@var{Pair} must be a pair.
@end ignore

Stores @var{obj} in the cdr field of @var{pair}.
The value returned by @samp{set-cdr!} is unspecified.  
@c  <!>
@c This procedure can be very confusing if used indiscriminately.

@end deffn

@deffn {library procedure} caar  pair
@deffnx {library procedure} cadr  pair
@deffnx {       @w{         @dots{}}}        @w{         @dots{}}
@deffnx {library procedure} cdddar  pair
@deffnx {library procedure} cddddr  pair

These procedures are compositions of @samp{car} and @samp{cdr}, where
for example @samp{caddr} could be defined by

@smalllisp
(define caddr (lambda (x) (car (cdr (cdr x)))))@r{.}
@end smalllisp

Arbitrary compositions, up to four deep, are provided.  There are
twenty-eight of these procedures in all.
@end deffn

@deffn {library procedure} null?  obj

Returns @t{#t} if @var{obj} is the empty list,
@cindex @w{empty list}
otherwise returns @t{#f}.

@c  \begin{note}
@c  In implementations in which the empty
@c  list is the same as \schfalse{}, {\cf null?} will return \schtrue{}
@c  if \var{obj} is \schfalse{}.
@c  \end{note}
 
@end deffn

@deffn {library procedure} list?  obj

Returns @t{#t} if @var{obj} is a list, otherwise returns @t{#f}.
By definition, all lists have finite length and are terminated by
the empty list.

@smalllisp
        (list? '(a b c))               @result{}  #t
        (list? '())                    @result{}  #t
        (list? '(a . b))               @result{}  #f
        (let ((x (list 'a)))
          (set-cdr! x x)
          (list? x))                   @result{}  #f
@end smalllisp
@end deffn

@deffn {library procedure} list  @var{obj} @dots{},
Returns a newly allocated list of its arguments.

@smalllisp
(list 'a (+ 3 4) 'c)                   @result{}  (a 7 c)
(list)                                 @result{}  ()
@end smalllisp
@end deffn

@deffn {library procedure} length  list

@ignore nodomain
@var{List} must be a list.
@end ignore

Returns the length of @var{list}.

@smalllisp
(length '(a b c))                      @result{}  3
(length '(a (b) (c d e)))              @result{}  3
(length '())                           @result{}  0
@end smalllisp
@end deffn

@deffn {library procedure} append  list @dots{},

@ignore nodomain
All @var{list}s should be lists.
@end ignore

Returns a list consisting of the elements of the first @var{list}
followed by the elements of the other @var{list}s.

@smalllisp
(append '(x) '(y))                     @result{}  (x y)
(append '(a) '(b c d))                 @result{}  (a b c d)
(append '(a (b)) '((c)))               @result{}  (a (b) (c))
@end smalllisp

The resulting list is always newly allocated, except that it shares
structure with the last @var{list} argument.  The last argument may
actually be any object; an improper list results if the last argument is not a
proper list.  
@ignore todo
This is pretty awkward.  I should get Bartley to fix this.
@end ignore

@smalllisp
(append '(a b) '(c . d))               @result{}  (a b c . d)
(append '() 'a)                        @result{}  a
@end smalllisp
@end deffn

@deffn {library procedure} reverse  list

@ignore nodomain
@var{List} must be a list.
@end ignore

Returns a newly allocated list consisting of the elements of @var{list}
in reverse order.

@smalllisp
(reverse '(a b c))                     @result{}  (c b a)
(reverse '(a (b c) d (e (f))))  
          @result{}  ((e (f)) d (b c) a)
@end smalllisp
@end deffn

@deffn {library procedure} list-tail  list @var{k}

Returns the sublist of @var{list} obtained by omitting the first @var{k}
elements.  It is an error if @var{list} has fewer than @var{k} elements.
@samp{List-tail} could be defined by

@smalllisp
(define list-tail
  (lambda (x k)
    (if (zero? k)
        x
        (list-tail (cdr x) (- k 1)))))
@end smalllisp
@end deffn

@deffn {library procedure} list-ref  list @var{k}

Returns the @var{k}th element of @var{list}.  (This is the same
as the car of @t{(list-tail @var{list} @var{k})}.)
It is an error if @var{list} has fewer than @var{k} elements.

@smalllisp
(list-ref '(a b c d) 2)                 @result{}  c
(list-ref '(a b c d)
          (inexact->exact (round 1.8))) 
          @result{}  c
@end smalllisp
@end deffn

@c \begin{entry}{%
@c \proto{last-pair}{ list}{library procedure}}

@c Returns the last pair in the nonempty, possibly improper, list \var{list}.
@c {\cf Last-pair} could be defined by

@c \begin{scheme}
@c (define last-pair
@c   (lambda (x)
@c     (if (pair? (cdr x))
@c         (last-pair (cdr x))
@c         x)))%
@c \end{scheme} 

@c \end{entry}

@deffn {library procedure} memq  obj list
@deffnx {library procedure} memv  obj list
@deffnx {library procedure} member  obj list

These procedures return the first sublist of @var{list} whose car is
@var{obj}, where the sublists of @var{list} are the non-empty lists
returned by @t{(list-tail @var{list} @var{k})} for @var{k} less
than the length of @var{list}.  If
@var{obj} does not occur in @var{list}, then @t{#f} (not the empty list) is
returned.  @samp{Memq} uses @samp{eq?} to compare @var{obj} with the elements of
@var{list}, while @samp{memv} uses @samp{eqv?} and @samp{member} uses @samp{equal?}.

@smalllisp
(memq 'a '(a b c))                     @result{}  (a b c)
(memq 'b '(a b c))                     @result{}  (b c)
(memq 'a '(b c d))                     @result{}  #f
(memq (list 'a) '(b (a) c))            @result{}  #f
(member (list 'a)
        '(b (a) c))                    @result{}  ((a) c)
(memq 101 '(100 101 102))              @result{}  @emph{unspecified}
(memv 101 '(100 101 102))              @result{}  (101 102)
@end smalllisp
@end deffn

@deffn {library procedure} assq  obj alist
@deffnx {library procedure} assv  obj alist
@deffnx {library procedure} assoc  obj alist

@var{Alist} (for ``association list'') must be a list of
pairs.  These procedures find the first pair in @var{alist} whose car field is @var{obj},
and returns that pair.  If no pair in @var{alist} has @var{obj} as its
car, then @t{#f} (not the empty list) is returned.  @samp{Assq} uses
@samp{eq?} to compare @var{obj} with the car fields of the pairs in @var{alist},
while @samp{assv} uses @samp{eqv?} and @samp{assoc} uses @samp{equal?}.

@smalllisp
(define e '((a 1) (b 2) (c 3)))
(assq 'a e)                            @result{}  (a 1)
(assq 'b e)                            @result{}  (b 2)
(assq 'd e)                            @result{}  #f
(assq (list 'a) '(((a)) ((b)) ((c))))
                                       @result{}  #f
(assoc (list 'a) '(((a)) ((b)) ((c))))   
                                       @result{}  ((a))
(assq 5 '((2 3) (5 7) (11 13)))    
                                       @result{}  @emph{unspecified}
(assv 5 '((2 3) (5 7) (11 13)))    
                                       @result{}  (5 7)
@end smalllisp

@sp 1
@emph{Rationale:}
Although they are ordinarily used as predicates,
@samp{memq}, @samp{memv}, @samp{member}, @samp{assq}, @samp{assv}, and @samp{assoc} do not
have question marks in their names because they return useful values rather
than just @t{#t} or @t{#f}.

@end deffn

@node Symbols, Characters, Pairs and lists, Other data types
@subsection Symbols
Symbols are objects whose usefulness rests on the fact that two
symbols are identical (in the sense of @samp{eqv?}) if and only if their
names are spelled the same way.  This is exactly the property needed to
represent identifiers in programs, and so most
@cindex @w{identifier}
implementations of Scheme use them internally for that purpose.  Symbols
are useful for many other applications; for instance, they may be used
the way enumerated values are used in Pascal.

The rules for writing a symbol are exactly the same as the rules for
writing an identifier; see sections @ref{Identifiers}
and @ref{Lexical structure}.

It is guaranteed that any symbol that has been returned as part of
a literal expression, or read using the @samp{read} procedure, and
subsequently written out using the @samp{write} procedure, will read back
in as the identical symbol (in the sense of @samp{eqv?}).  The
@samp{string->symbol} procedure, however, can create symbols for
which this write/read invariance may not hold because their names
contain special characters or letters in the non-standard case.

@quotation
@emph{Note:}
Some implementations of Scheme have a feature known as ``slashification''
in order to guarantee write/read invariance for all symbols, but
historically the most important use of this feature has been to
compensate for the lack of a string data type.

Some implementations also have ``uninterned symbols'', which
defeat write/read invariance even in implementations with slashification,
and also generate exceptions to the rule that two symbols are the same
if and only if their names are spelled the same.
@end quotation

@deffn {procedure} symbol?  obj
Returns @t{#t} if @var{obj} is a symbol, otherwise returns @t{#f}.

@smalllisp
(symbol? 'foo)                         @result{}  #t
(symbol? (car '(a b)))                 @result{}  #t
(symbol? "bar")                        @result{}  #f
(symbol? 'nil)                         @result{}  #t
(symbol? '())                          @result{}  #f
(symbol? #f)                           @result{}  #f
@end smalllisp
@end deffn

@deffn {procedure} symbol->string  symbol

Returns the name of @var{symbol} as a string.  If the symbol was part of
an object returned as the value of a literal expression
(section @ref{Literal expressions}) or by a call to the @samp{read} procedure,
and its name contains alphabetic characters, then the string returned
will contain characters in the implementation's preferred standard
case---some implementations will prefer upper case, others lower case.
If the symbol was returned by @samp{string->symbol}, the case of
characters in the string returned will be the same as the case in the
string that was passed to @samp{string->symbol}.  It is an error
to apply mutation procedures like @code{string-set!} to strings returned
@cindex @w{string-set!}
by this procedure.

The following examples assume that the implementation's standard case is
lower case:

@smalllisp
(symbol->string 'flying-fish)     
                                       @result{}  "flying-fish"
(symbol->string 'Martin)               @result{}  "martin"
(symbol->string
   (string->symbol "Malvina"))     
                                       @result{}  "Malvina"
@end smalllisp
@end deffn

@deffn {procedure} string->symbol  string
Returns the symbol whose name is @var{string}.  This procedure can
create symbols with names containing special characters or letters in
the non-standard case, but it is usually a bad idea to create such
symbols because in some implementations of Scheme they cannot be read as
themselves.  See @samp{symbol->string}.

The following examples assume that the implementation's standard case is
lower case:

@smalllisp
(eq? 'mISSISSIppi 'mississippi)  
          @result{}  #t
(string->symbol "mISSISSIppi")  
          @result{}
  @r{}the symbol with name "mISSISSIppi"
(eq? 'bitBlt (string->symbol "bitBlt"))     
          @result{}  #f
(eq? 'JollyWog
     (string->symbol
       (symbol->string 'JollyWog)))  
          @result{}  #t
(string=? "K. Harper, M.D."
          (symbol->string
            (string->symbol "K. Harper, M.D.")))  
          @result{}  #t
@end smalllisp
@end deffn

@node Characters, Strings, Symbols, Other data types
@subsection Characters

Characters are objects that represent printed characters such as
letters and digits.  
@c There is no requirement that the data type of
@c characters be disjoint from other data types; implementations are
@c encouraged to have a separate character data type, but may choose to
@c represent characters as integers, strings, or some other type.
Characters are written using the notation #\@r{<character>}
or #\@r{<character name>}.
For example:

@center @c begin-tabular
@quotation
@table @asis
@item @t{#\a}
; lower case letter
@item @t{#\A}
; upper case letter
@item @t{#\(}
; left parenthesis
@item @t{#\ }
; the space character
@item @t{#\space}
; the preferred way to write a space
@item @t{#\newline}
; the newline character
@item 
@end table
@end quotation

Case is significant in #\@r{<character>}, but not in
#\@r{<character name>}.  
@c  \hyper doesn't
                                                            
@c  allow a linebreak
If @r{<character>} in
#\@r{<character>} is alphabetic, then the character
following @r{<character>} must be a delimiter character such as a
space or parenthesis.  This rule resolves the ambiguous case where, for
example, the sequence of characters ``@t{#\ space}''
could be taken to be either a representation of the space character or a
representation of the character ``@t{#\ s}'' followed
by a representation of the symbol ``@t{pace}.''

@ignore todo
Fix
@end ignore

Characters written in the #\ notation are self-evaluating.
That is, they do not have to be quoted in programs.  
@c The \sharpsign\backwhack{}
@c notation is not an essential part of Scheme, however.  Even implementations
@c that support the \sharpsign\backwhack{} notation for input do not have to
@c support it for output.

Some of the procedures that operate on characters ignore the
difference between upper case and lower case.  The procedures that
ignore case have @w{``@t{-ci}''} (for ``case
insensitive'') embedded in their names.

@deffn {procedure} char?  obj
Returns @t{#t} if @var{obj} is a character, otherwise returns @t{#f}.
@end deffn

@deffn {procedure} char=?  char1 char2
@deffnx {procedure} char<?  char1 char2
@deffnx {procedure} char>?  char1 char2
@deffnx {procedure} char<=?  char1 char2
@deffnx {procedure} char>=?  char1 char2

@ignore nodomain
Both @var{char1} and @var{char2} must be characters.
@end ignore

These procedures impose a total ordering on the set of characters.  It
is guaranteed that under this ordering:

@itemize @bullet

@item
The upper case characters are in order.  For example, @samp{(char<? #\A #\B)} returns @t{#t}.
@item
The lower case characters are in order.  For example, @samp{(char<? #\a #\b)} returns @t{#t}.
@item
The digits are in order.  For example, @samp{(char<? #\0 #\9)} returns @t{#t}.
@item
Either all the digits precede all the upper case letters, or vice versa.
@item
Either all the digits precede all the lower case letters, or vice versa.

@end itemize

Some implementations may generalize these procedures to take more than
two arguments, as with the corresponding numerical predicates.

@end deffn

@deffn {library procedure} char-ci=?  char1 char2
@deffnx {library procedure} char-ci<?  char1 char2
@deffnx {library procedure} char-ci>?  char1 char2
@deffnx {library procedure} char-ci<=?  char1 char2
@deffnx {library procedure} char-ci>=?  char1 char2

@ignore nodomain
Both @var{char1} and @var{char2} must be characters.
@end ignore

These procedures are similar to @samp{char=?} et cetera, but they treat
upper case and lower case letters as the same.  For example, @samp{(char-ci=? #\A #\a)} returns @t{#t}.  Some
implementations may generalize these procedures to take more than two
arguments, as with the corresponding numerical predicates.

@end deffn

@deffn {library procedure} char-alphabetic?  char
@deffnx {library procedure} char-numeric?  char
@deffnx {library procedure} char-whitespace?  char
@deffnx {library procedure} char-upper-case?  letter
@deffnx {library procedure} char-lower-case?  letter

These procedures return @t{#t} if their arguments are alphabetic,
numeric, whitespace, upper case, or lower case characters, respectively,
otherwise they return @t{#f}.  The following remarks, which are specific to
the ASCII character set, are intended only as a guide:  The alphabetic characters
are the 52 upper and lower case letters.  The numeric characters are the
ten decimal digits.  The whitespace characters are space, tab, line
feed, form feed, and carriage return.
@end deffn

@c %R4%%\begin{entry}{%
@c \proto{char-upper-case?}{ letter}{procedure}
@c \proto{char-lower-case?}{ letter}{procedure}}

@c \domain{\var{Letter} must be an alphabetic character.}
@c These procedures return \schtrue{} if their arguments are upper case or
@c lower case characters, respectively, otherwise they return \schfalse.
@c \end{entry}

@deffn {procedure} char->integer  char
@deffnx {procedure} integer->char  @var{n}

Given a character, @samp{char->integer} returns an exact integer
representation of the character.  Given an exact integer that is the image of
a character under @samp{char->integer}, @samp{integer->char}
returns that character.  These procedures implement order-preserving isomorphisms
between the set of characters under the @code{char<=?} ordering and some
@cindex @w{char<=?}
subset of the integers under the @samp{<=} ordering.  That is, if

@smalllisp
(char<=? @var{a} @var{b}) @result{} #t  @r{}and  (<= @var{x} @var{y}) @result{} #t
@end smalllisp

@noindent
 and @var{x} and @var{y} are in the domain of
@samp{integer->char}, then

@smalllisp
(<= (char->integer @var{a})
    (char->integer @var{b}))                 @result{}  #t

(char<=? (integer->char @var{x})
         (integer->char @var{y}))            @result{}  #t
@end smalllisp
@end deffn

@deffn {library procedure} char-upcase  char
@deffnx {library procedure} char-downcase  char

@ignore nodomain
@var{Char} must be a character.
@end ignore

These procedures return a character @var{char2} such that @samp{(char-ci=? @var{char} @var{char2})}.  In addition, if @var{char} is
alphabetic, then the result of @samp{char-upcase} is upper case and the
result of @samp{char-downcase} is lower case.

@end deffn

@node Strings, Vectors, Characters, Other data types
@subsection Strings

Strings are sequences of characters.  
@c In some implementations of Scheme
@c they are immutable; other implementations provide destructive procedures
@c such as {\cf string-set!}\ that alter string objects.
Strings are written as sequences of characters enclosed within doublequotes
(@samp{"}).  A doublequote can be written inside a string only by escaping
it with a backslash (\), as in
@smalllisp
"The word \"recursion\" has many meanings."
@end smalllisp

A backslash can be written inside a string only by escaping it with another
backslash.  Scheme does not specify the effect of a backslash within a
string that is not followed by a doublequote or backslash.

A string constant may continue from one line to the next, but
the exact contents of such a string are unspecified.
@c  this is
@c usually a bad idea because 
@c the exact effect may vary from one computer
@c system to another.

The @emph{length} of a string is the number of characters that it
contains.  This number is an exact, non-negative integer that is fixed when the
string is created.  The @dfn{valid indexes} of a string are the
@cindex @w{valid indexes}
exact non-negative integers less than the length of the string.  The first
character of a string has index 0, the second has index 1, and so on.

In phrases such as ``the characters of @var{string} beginning with
index @var{start} and ending with index @var{end},'' it is understood
that the index @var{start} is inclusive and the index @var{end} is
exclusive.  Thus if @var{start} and @var{end} are the same index, a null
substring is referred to, and if @var{start} is zero and @var{end} is
the length of @var{string}, then the entire string is referred to.

Some of the procedures that operate on strings ignore the
difference between upper and lower case.  The versions that ignore case
have @w{``@samp{-ci}''} (for ``case insensitive'') embedded in their
names.

@deffn {procedure} string?  obj

Returns @t{#t} if @var{obj} is a string, otherwise returns @t{#f}.
@end deffn

@deffn {procedure} make-string  @var{k}
@deffnx {procedure} make-string  @var{k} char

@c \domain{\vr{k} must be a non-negative integer, and \var{char} must be
@c a character.}  
@samp{Make-string} returns a newly allocated string of
length @var{k}.  If @var{char} is given, then all elements of the string
are initialized to @var{char}, otherwise the contents of the
@var{string} are unspecified.
@end deffn

@deffn {library procedure} string  char @dots{},
Returns a newly allocated string composed of the arguments.
@end deffn

@deffn {procedure} string-length  string
Returns the number of characters in the given @var{string}.
@end deffn

@deffn {procedure} string-ref  string @var{k}
@var{k} must be a valid index of @var{string}.
@samp{String-ref} returns character @var{k} of @var{string} using zero-origin indexing.
@end deffn

@deffn {procedure} string-set!  string k char
@c \var{String} must be a string, 
@var{k} must be a valid index of @var{string}
@c , and \var{char} must be a character
.
@samp{String-set!} stores @var{char} in element @var{k} of @var{string}
and returns an unspecified value.  
@c  <!>

@smalllisp
(define (f) (make-string 3 #\*))
(define (g) "***")
(string-set! (f) 0 #\?)                @result{}  @emph{unspecified}
(string-set! (g) 0 #\?)                @result{}  @emph{error}
(string-set! (symbol->string 'immutable)
             0
             #\?)                      @result{}  @emph{error}
@end smalllisp
@end deffn

@deffn {library procedure} string=?  string1 string2
@deffnx {library procedure} string-ci=?  string1 string2

Returns @t{#t} if the two strings are the same length and contain the same
characters in the same positions, otherwise returns @t{#f}.
@samp{String-ci=?} treats
upper and lower case letters as though they were the same character, but
@samp{string=?} treats upper and lower case as distinct characters.

@end deffn

@deffn {library procedure} string<?  string1 string2
@deffnx {library procedure} string>?  string1 string2
@deffnx {library procedure} string<=?  string1 string2
@deffnx {library procedure} string>=?  string1 string2
@deffnx {library procedure} string-ci<?  string1 string2
@deffnx {library procedure} string-ci>?  string1 string2
@deffnx {library procedure} string-ci<=?  string1 string2
@deffnx {library procedure} string-ci>=?  string1 string2

These procedures are the lexicographic extensions to strings of the
corresponding orderings on characters.  For example, @samp{string<?} is
the lexicographic ordering on strings induced by the ordering
@samp{char<?} on characters.  If two strings differ in length but
are the same up to the length of the shorter string, the shorter string
is considered to be lexicographically less than the longer string.

Implementations may generalize these and the @samp{string=?} and
@samp{string-ci=?} procedures to take more than two arguments, as with
the corresponding numerical predicates.

@end deffn

@deffn {library procedure} substring  string start end

@var{String} must be a string, and @var{start} and @var{end}
must be exact integers satisfying

@center 0 <= @var{start} <= @var{end} <= @w{@t{(string-length @var{string})@r{.}}}

@samp{Substring} returns a newly allocated string formed from the characters of
@var{string} beginning with index @var{start} (inclusive) and ending with index
@var{end} (exclusive).
@end deffn

@deffn {library procedure} string-append  @var{string} @dots{},
Returns a newly allocated string whose characters form the concatenation of the
given strings.
@end deffn

@deffn {library procedure} string->list  string
@deffnx {library procedure} list->string  list

@samp{String->list} returns a newly allocated list of the
characters that make up the given string.  @samp{List->string}
returns a newly allocated string formed from the characters in the list
@var{list}, which must be a list of characters. @samp{String->list}
and @samp{list->string} are
inverses so far as @samp{equal?} is concerned.  
@c Implementations that provide
@c destructive operations on strings should ensure that the result of
@c {\cf list\coerce{}string} is newly allocated.
@end deffn

@deffn {library procedure} string-copy  string
Returns a newly allocated copy of the given @var{string}.
@end deffn

@deffn {library procedure} string-fill!  string char
Stores @var{char} in every element of the given @var{string} and returns an
unspecified value.  
@c  <!>
@end deffn

@node Vectors,  , Strings, Other data types
@subsection Vectors

Vectors are heterogenous structures whose elements are indexed
by integers.  A vector typically occupies less space than a list
of the same length, and the average time required to access a randomly
chosen element is typically less for the vector than for the list.

The @emph{length} of a vector is the number of elements that it
contains.  This number is a non-negative integer that is fixed when the
vector is created.  The @emph{valid indexes} of a
@cindex @w{valid indexes}
vector are the exact non-negative integers less than the length of the
vector.  The first element in a vector is indexed by zero, and the last
element is indexed by one less than the length of the vector.

Vectors are written using the notation @t{#(@var{obj} @dots{},)}.
For example, a vector of length 3 containing the number zero in element
0, the list @samp{(2 2 2 2)} in element 1, and the string @samp{"Anna"} in
element 2 can be written as following:


@smalllisp
#(0 (2 2 2 2) "Anna")
@end smalllisp

Note that this is the external representation of a vector, not an
expression evaluating to a vector.  Like list constants, vector
constants must be quoted:

@smalllisp
'#(0 (2 2 2 2) "Anna")  
          @result{}  #(0 (2 2 2 2) "Anna")
@end smalllisp

@ignore todo
Pitman sez: The visual similarity to lists is bound to be confusing
to some.  Elaborate on the distinction.
@end ignore

@deffn {procedure} vector?  obj
Returns @t{#t} if @var{obj} is a vector, otherwise returns @t{#f}.
@end deffn

@deffn {procedure} make-vector  k
@deffnx {procedure} make-vector  k fill

Returns a newly allocated vector of @var{k} elements.  If a second
argument is given, then each element is initialized to @var{fill}.
Otherwise the initial contents of each element is unspecified.
@end deffn

@deffn {library procedure} vector  obj @dots{},
Returns a newly allocated vector whose elements contain the given
arguments.  Analogous to @samp{list}.

@smalllisp
(vector 'a 'b 'c)                      @result{}  #(a b c)
@end smalllisp
@end deffn

@deffn {procedure} vector-length  vector
Returns the number of elements in @var{vector} as an exact integer.
@end deffn

@deffn {procedure} vector-ref  vector k

@var{k} must be a valid index of @var{vector}.
@samp{Vector-ref} returns the contents of element @var{k} of
@var{vector}.

@smalllisp
(vector-ref '#(1 1 2 3 5 8 13 21)
            5)  
          @result{}  8
(vector-ref '#(1 1 2 3 5 8 13 21)
            (let ((i (round (* 2 (acos -1)))))
              (if (inexact? i)
                  (inexact->exact i)
                  i))) 
          @result{} 13
@end smalllisp
@end deffn

@deffn {procedure} vector-set!  vector k obj

@var{k} must be a valid index of @var{vector}.
@samp{Vector-set!} stores @var{obj} in element @var{k} of @var{vector}.
The value returned by @samp{vector-set!} is unspecified.  
@c  <!>

@smalllisp
(let ((vec (vector 0 '(2 2 2 2) "Anna")))
  (vector-set! vec 1 '("Sue" "Sue"))
  vec)      
          @result{}  #(0 ("Sue" "Sue") "Anna")

(vector-set! '#(0 1 2) 1 "doe")  
          @result{}  @emph{error}  ; constant vector
@end smalllisp
@end deffn

@deffn {library procedure} vector->list  vector
@deffnx {library procedure} list->vector  list

@samp{Vector->list} returns a newly allocated list of the objects contained
in the elements of @var{vector}.  @samp{List->vector} returns a newly
created vector initialized to the elements of the list @var{list}.

@smalllisp
(vector->list '#(dah dah didah))  
          @result{}  (dah dah didah)
(list->vector '(dididit dah))   
          @result{}  #(dididit dah)
@end smalllisp
@end deffn

@deffn {library procedure} vector-fill!  vector fill

Stores @var{fill} in every element of @var{vector}.
The value returned by @samp{vector-fill!} is unspecified.  
@c  <!>
@end deffn

@node Control features, Eval, Other data types, Standard procedures
@section Control features

@c  Intro flushed; not very a propos any more.
@c  Procedures should be discussed somewhere, however.

This chapter describes various primitive procedures which control the
flow of program execution in special ways.
The @samp{procedure?} predicate is also described here.

@ignore todo
@t{Procedure?} doesn't belong in a section with the name
``control features.''  What to do?
@end ignore

@deffn {procedure} procedure?  obj
Returns @t{#t} if @var{obj} is a procedure, otherwise returns @t{#f}.

@smalllisp
(procedure? car)                       @result{}  #t
(procedure? 'car)                      @result{}  #f
(procedure? (lambda (x) (* x x)))   
                                       @result{}  #t
(procedure? '(lambda (x) (* x x)))  
                                       @result{}  #f
(call-with-current-continuation procedure?)
                                       @result{}  #t
@end smalllisp
@end deffn

@deffn {procedure} apply  proc arg1 @dots{} args

@var{Proc} must be a procedure and @var{args} must be a list.
Calls @var{proc} with the elements of the list
@samp{(append (list @var{arg1} @dots{},) @var{args})} as the actual
arguments.

@smalllisp
(apply + (list 3 4))                   @result{}  7

(define compose
  (lambda (f g)
    (lambda args
      (f (apply g args)))))

((compose sqrt *) 12 75)               @result{}  30
@end smalllisp
@end deffn

@deffn {library procedure} map  proc list1 list2 @dots{},

The @var{list}s must be lists, and @var{proc} must be a
procedure taking as many arguments as there are @i{list}s
and returning a single value.  If more
than one @var{list} is given, then they must all be the same length.
@samp{Map} applies @var{proc} element-wise to the elements of the
@var{list}s and returns a list of the results, in order.
The dynamic order in which @var{proc} is applied to the elements of the
@var{list}s is unspecified.

@smalllisp
(map cadr '((a b) (d e) (g h)))   
          @result{}  (b e h)

(map (lambda (n) (expt n n))
     '(1 2 3 4 5))                
          @result{}  (1 4 27 256 3125)

(map + '(1 2 3) '(4 5 6))              @result{}  (5 7 9)

(let ((count 0))
  (map (lambda (ignored)
         (set! count (+ count 1))
         count)
       '(a b)))                        @result{}  (1 2) @var{or} (2 1)
@end smalllisp
@end deffn

@deffn {library procedure} for-each  proc list1 list2 @dots{},

The arguments to @samp{for-each} are like the arguments to @samp{map}, but
@samp{for-each} calls @var{proc} for its side effects rather than for its
values.  Unlike @samp{map}, @samp{for-each} is guaranteed to call @var{proc} on
the elements of the @var{list}s in order from the first element(s) to the
last, and the value returned by @samp{for-each} is unspecified.

@smalllisp
(let ((v (make-vector 5)))
  (for-each (lambda (i)
              (vector-set! v i (* i i)))
            '(0 1 2 3 4))
  v)                                   @result{}  #(0 1 4 9 16)
@end smalllisp
@end deffn

@deffn {library procedure} force  promise

Forces the value of @var{promise} (see @code{delay},
@cindex @w{delay}
section @ref{Delayed evaluation}).  If no value has been computed for
@cindex @w{promise}
the promise, then a value is computed and returned.  The value of the
promise is cached (or ``memoized'') so that if it is forced a second
time, the previously computed value is returned.
@c  without any recomputation.
@c  [As pointed out by Marc Feeley, the "without any recomputation"
@c  isn't necessarily true. --Will]


@smalllisp
(force (delay (+ 1 2)))                @result{}  3
(let ((p (delay (+ 1 2))))
  (list (force p) (force p)))  
                                       @result{}  (3 3)

(define a-stream
  (letrec ((next
            (lambda (n)
              (cons n (delay (next (+ n 1)))))))
    (next 0)))
(define head car)
(define tail
  (lambda (stream) (force (cdr stream))))

(head (tail (tail a-stream)))  
                                       @result{}  2
@end smalllisp

@samp{Force} and @samp{delay} are mainly intended for programs written in
functional style.  The following examples should not be considered to
illustrate good programming style, but they illustrate the property that
only one value is computed for a promise, no matter how many times it is
forced.
@c  the value of a promise is computed at most once.
@c  [As pointed out by Marc Feeley, it may be computed more than once,
@c  but as I observed we can at least insist that only one value be
@c  used! -- Will]

@smalllisp
(define count 0)
(define p
  (delay (begin (set! count (+ count 1))
                (if (> count x)
                    count
                    (force p)))))
(define x 5)
p                                      @result{}  @i{}a promise
(force p)                              @result{}  6
p                                      @result{}  @i{}a promise, still
(begin (set! x 10)
       (force p))                      @result{}  6
@end smalllisp

Here is a possible implementation of @samp{delay} and @samp{force}.
Promises are implemented here as procedures of no arguments,
and @samp{force} simply calls its argument:

@smalllisp
(define force
  (lambda (object)
    (object)))
@end smalllisp

We define the expression

@format
(delay @r{<expression>})
@end format

to have the same meaning as the procedure call

@format
(make-promise (lambda () @r{<expression>}))@r{}
@end format

as follows

@smalllisp
(define-syntax delay
  (syntax-rules ()
    ((delay expression)
     (make-promise (lambda () expression))))),
@end smalllisp

where @samp{make-promise} is defined as follows:

@c  \begin{scheme}
@c  (define make-promise
@c    (lambda (proc)
@c      (let ((already-run? \schfalse) (result \schfalse))
@c        (lambda ()
@c          (cond ((not already-run?)
@c                 (set! result (proc))
@c                 (set! already-run? \schtrue)))
@c          result))))%
@c  \end{scheme}

@smalllisp
(define make-promise
  (lambda (proc)
    (let ((result-ready? #f)
          (result #f))
      (lambda ()
        (if result-ready?
            result
            (let ((x (proc)))
              (if result-ready?
                  result
                  (begin (set! result-ready? #t)
                         (set! result x)
                         result))))))))
@end smalllisp

@sp 1
@emph{Rationale:}
A promise may refer to its own value, as in the last example above.
Forcing such a promise may cause the promise to be forced a second time
before the value of the first force has been computed.
This complicates the definition of @samp{make-promise}.

Various extensions to this semantics of @samp{delay} and @samp{force}
are supported in some implementations:

@itemize @bullet
@item
Calling @samp{force} on an object that is not a promise may simply
return the object.

@item
It may be the case that there is no means by which a promise can be
operationally distinguished from its forced value.  That is, expressions
like the following may evaluate to either @t{#t} or to @t{#f},
depending on the implementation:

@smalllisp
(eqv? (delay 1) 1)                @result{}  @emph{unspecified}
(pair? (delay (cons 1 2)))        @result{}  @emph{unspecified}
@end smalllisp

@item
Some implementations may implement ``implicit forcing,'' where
the value of a promise is forced by primitive procedures like @samp{cdr}
and @samp{+}:

@smalllisp
(+ (delay (* 3 7)) 13)            @result{}  34
@end smalllisp
@end itemize
@end deffn

@deffn {procedure} call-with-current-continuation  proc

 @var{Proc} must be a procedure of one
argument. The procedure @samp{call-with-current-continuation} packages
up the current continuation (see the rationale below) as an ``escape
procedure'' and passes it as an argument to
@cindex @w{escape procedure}
@var{proc}.  The escape procedure is a Scheme procedure that, if it is
later called, will abandon whatever continuation is in effect at that later
time and will instead use the continuation that was in effect
when the escape procedure was created.  Calling the escape procedure
may cause the invocation of @var{before} and @var{after} thunks installed using
@code{dynamic-wind}.
@cindex @w{dynamic-wind}

The escape procedure accepts the same number of arguments as the
continuation to the original call to @t{call-with-current-continuation}.
Except for continuations created by the @samp{call-with-values}
procedure, all continuations take exactly one value.  The effect of
passing no value or more than one value to continuations that were not
created by @t{call-with-values} is unspecified.

The escape procedure that is passed to @var{proc} has
unlimited extent just like any other procedure in Scheme.  It may be stored
in variables or data structures and may be called as many times as desired.

The following examples show only the most common ways in which
@samp{call-with-current-continuation} is used.  If all real uses were as
simple as these examples, there would be no need for a procedure with
the power of @samp{call-with-current-continuation}.

@smalllisp
(call-with-current-continuation
  (lambda (exit)
    (for-each (lambda (x)
                (if (negative? x)
                    (exit x)))
              '(54 0 37 -3 245 19))
    #t))                               @result{}  -3

(define list-length
  (lambda (obj)
    (call-with-current-continuation
      (lambda (return)
        (letrec ((r
                  (lambda (obj)
                    (cond ((null? obj) 0)
                          ((pair? obj)
                           (+ (r (cdr obj)) 1))
                          (else (return #f))))))
          (r obj))))))

(list-length '(1 2 3 4))               @result{}  4

(list-length '(a b . c))               @result{}  #f
@end smalllisp

@sp 1
@emph{Rationale:}

A common use of @samp{call-with-current-continuation} is for
structured, non-local exits from loops or procedure bodies, but in fact
@samp{call-with-current-continuation} is extremely useful for implementing a
wide variety of advanced control structures.

Whenever a Scheme expression is evaluated there is a
@dfn{continuation} wanting the result of the expression.  The continuation
@cindex @w{continuation}
represents an entire (default) future for the computation.  If the expression is
evaluated at top level, for example, then the continuation might take the
result, print it on the screen, prompt for the next input, evaluate it, and
so on forever.  Most of the time the continuation includes actions
specified by user code, as in a continuation that will take the result,
multiply it by the value stored in a local variable, add seven, and give
the answer to the top level continuation to be printed.  Normally these
ubiquitous continuations are hidden behind the scenes and programmers do not
think much about them.  On rare occasions, however, a programmer may
need to deal with continuations explicitly.
@samp{Call-with-current-continuation} allows Scheme programmers to do
that by creating a procedure that acts just like the current
continuation.

Most programming languages incorporate one or more special-purpose
escape constructs with names like @t{exit}, @w{@samp{return}}, or
even @t{goto}.  In 1965, however, Peter Landin [Landin65]
invented a general purpose escape operator called the J-operator.  John
Reynolds [Reynolds72] described a simpler but equally powerful
construct in 1972.  The @samp{catch} special form described by Sussman
and Steele in the 1975 report on Scheme is exactly the same as
Reynolds's construct, though its name came from a less general construct
in MacLisp.  Several Scheme implementors noticed that the full power of the
@code{catch} construct could be provided by a procedure instead of by a
@cindex @w{catch}
special syntactic construct, and the name
@samp{call-with-current-continuation} was coined in 1982.  This name is
descriptive, but opinions differ on the merits of such a long name, and
some people use the name @code{call/cc} instead.
@cindex @w{call/cc}
@end deffn

@deffn {procedure} values  obj @dots{}

Delivers all of its arguments to its continuation.
Except for continuations created by the @code{call-with-values}
@cindex @w{call-with-values}
procedure, all continuations take exactly one value.
@t{Values} might be defined as follows:

@smalllisp
(define (values . things)
  (call-with-current-continuation 
    (lambda (cont) (apply cont things))))
@end smalllisp
@end deffn

@deffn {procedure} call-with-values  producer consumer

Calls its @var{producer} argument with no values and
a continuation that, when passed some values, calls the
@var{consumer} procedure with those values as arguments.
The continuation for the call to @var{consumer} is the
continuation of the call to @t{call-with-values}.


@smalllisp
(call-with-values (lambda () (values 4 5))
                  (lambda (a b) b))
                                                   @result{}  5

(call-with-values * -)                             @result{}  -1
@end smalllisp
@end deffn

@deffn {procedure} dynamic-wind  before thunk after

Calls @var{thunk} without arguments, returning the result(s) of this call.
@var{Before} and @var{after} are called, also without arguments, as required
by the following rules (note that in the absence of calls to continuations
captured using @code{call-with-current-continuation} the three arguments are
@cindex @w{call-with-current-continuation}
called once each, in order).  @var{Before} is called whenever execution
enters the dynamic extent of the call to @var{thunk} and @var{after} is called
whenever it exits that dynamic extent.  The dynamic extent of a procedure
call is the period between when the call is initiated and when it
returns.  In Scheme, because of @samp{call-with-current-continuation}, the
dynamic extent of a call may not be a single, connected time period.
It is defined as follows:

@itemize @bullet

@item
The dynamic extent is entered when execution of the body of the
called procedure begins.

@item
The dynamic extent is also entered when execution is not within
the dynamic extent and a continuation is invoked that was captured
(using @samp{call-with-current-continuation}) during the dynamic extent.

@item
It is exited when the called procedure returns.

@item
It is also exited when execution is within the dynamic extent and
a continuation is invoked that was captured while not within the
dynamic extent.

@end itemize

If a second call to @samp{dynamic-wind} occurs within the dynamic extent of the
call to @var{thunk} and then a continuation is invoked in such a way that the
@var{after}s from these two invocations of @samp{dynamic-wind} are both to be
called, then the @var{after} associated with the second (inner) call to
@samp{dynamic-wind} is called first.

If a second call to @samp{dynamic-wind} occurs within the dynamic extent of the
call to @var{thunk} and then a continuation is invoked in such a way that the
@var{before}s from these two invocations of @samp{dynamic-wind} are both to be
called, then the @var{before} associated with the first (outer) call to
@samp{dynamic-wind} is called first.

If invoking a continuation requires calling the @var{before} from one call
to @samp{dynamic-wind} and the @var{after} from another, then the @var{after}
is called first.

The effect of using a captured continuation to enter or exit the dynamic
extent of a call to @var{before} or @var{after} is undefined.

@smalllisp
(let ((path '())
      (c #f))
  (let ((add (lambda (s)
               (set! path (cons s path)))))
    (dynamic-wind
      (lambda () (add 'connect))
      (lambda ()
        (add (call-with-current-continuation
               (lambda (c0)
                 (set! c c0)
                 'talk1))))
      (lambda () (add 'disconnect)))
    (if (< (length path) 4)
        (c 'talk2)
        (reverse path))))
    
          @result{} (connect talk1 disconnect
               connect talk2 disconnect)
@end smalllisp
@end deffn

@node Eval, Input and output, Control features, Standard procedures
@section Eval

@deffn {procedure} eval  expression environment-specifier

Evaluates @var{expression} in the specified environment and returns its value.
@var{Expression} must be a valid Scheme expression represented as data,
and @var{environment-specifier} must be a value returned by one of the
three procedures described below.
Implementations may extend @samp{eval} to allow non-expression programs
(definitions) as the first argument and to allow other
values as environments, with the restriction that @samp{eval} is not
allowed to create new bindings in the environments associated with
@samp{null-environment} or @samp{scheme-report-environment}.

@smalllisp
(eval '(* 7 3) (scheme-report-environment 5))
                                                   @result{}  21

(let ((f (eval '(lambda (f x) (f x x))
               (null-environment 5))))
  (f + 10))
                                                   @result{}  20
@end smalllisp
@end deffn

@deffn {procedure} scheme-report-environment  version
@deffnx {procedure} null-environment  version

@var{Version} must be the exact integer @samp{5},
corresponding to this revision of the Scheme report (the
Revised^5 Report on Scheme).
@samp{Scheme-report-environment} returns a specifier for an
environment that is empty except for all bindings defined in
this report that are either required or both optional and
supported by the implementation. @samp{Null-environment} returns
a specifier for an environment that is empty except for the
(syntactic) bindings for all syntactic keywords defined in
this report that are either required or both optional and
supported by the implementation.

Other values of @var{version} can be used to specify environments
matching past revisions of this report, but their support is not
required.  An implementation will signal an error if @var{version}
is neither @samp{5} nor another value supported by
the implementation.

The effect of assigning (through the use of @samp{eval}) a variable
bound in a @samp{scheme-report-environment}
(for example @samp{car}) is unspecified.  Thus the environments specified
by @samp{scheme-report-environment} may be immutable.
@end deffn

@deffn {optional procedure} interaction-environment 

This procedure returns a specifier for the environment that
contains imple@-men@-ta@-tion-defined bindings, typically a superset of
those listed in the report.  The intent is that this procedure
will return the environment in which the implementation would evaluate
expressions dynamically typed by the user.
@end deffn

@node Input and output,  , Eval, Standard procedures
@section Input and output

@menu
* Ports::                       
* Input::                       
* Output::                      
* System interface::            
@end menu

@node Ports, Input, Input and output, Input and output
@subsection Ports

Ports represent input and output devices.  To Scheme, an input port is a
Scheme object that can deliver characters upon command, while an output port
is a Scheme object that can accept characters. 
@cindex @w{port}

@ignore todo
Haase: Mention that there are alternatives to files?
@end ignore

@deffn {library procedure} call-with-input-file  string proc
@deffnx {library procedure} call-with-output-file  string proc

@var{String} should be a string naming a file, and
@var{proc} should be a procedure that accepts one argument.
For @samp{call-with-input-file},
the file should already exist; for
@samp{call-with-output-file},
the effect is unspecified if the file
already exists. These procedures call @var{proc} with one argument: the
port obtained by opening the named file for input or output.  If the
file cannot be opened, an error is signalled.  If @var{proc} returns,
then the port is closed automatically and the value(s) yielded by the
@var{proc} is(are) returned.  If @var{proc} does not return, then 
the port will not be closed automatically unless it is possible to
prove that the port will never again be used for a read or write
operation.
@c Scheme
@c will not close the port unless it can prove that the port will never
@c again be used for a read or write operation.

@sp 1
@emph{Rationale:}
Because Scheme's escape procedures have unlimited extent, it  is
possible to escape from the current continuation but later to escape back in. 
If implementations were permitted to close the port on any escape from the
current continuation, then it would be impossible to write portable code using
both @samp{call-with-current-continuation} and @samp{call-with-input-file} or
@samp{call-with-output-file}.
@ignore todo
Pitman wants more said here; maybe encourage users to call
@var{close-foo-port}; maybe talk about process switches (?).
@end ignore
@end deffn

@deffn {procedure} input-port?  obj
@deffnx {procedure} output-port?  obj
Returns @t{#t} if @var{obj} is an input port or output port
respectively, otherwise returns @t{#f}.

@ignore todo
Won't necessarily return true after port is closed.
@end ignore
@end deffn

@deffn {procedure} current-input-port 
@deffnx {procedure} current-output-port 
Returns the current default input or output port.
@end deffn

@deffn {optional procedure} with-input-from-file  string thunk
@deffnx {optional procedure} with-output-to-file  string thunk

@var{String} should be a string naming a file, and
@var{proc} should be a procedure of no arguments.
For @samp{with-input-from-file},
the file should already exist; for
@samp{with-output-to-file},
the effect is unspecified if the file
already exists.
The file is opened for input or output, an input or output port
connected to it is made the default value returned by
@samp{current-input-port} or @samp{current-output-port}
(and is used by @t{(read)}, @t{(write @var{obj})}, and so forth),
and the
@var{thunk} is called with no arguments.  When the @var{thunk} returns,
the port is closed and the previous default is restored.
@samp{With-input-from-file} and @samp{with-output-to-file} return(s) the
value(s) yielded by @var{thunk}.
If an escape procedure
is used to escape from the continuation of these procedures, their
behavior is implementation dependent.

@ignore todo
OK this with authors??
@end ignore

@c current continuation changes in such a way
@c as to make it doubtful that the \var{thunk} will ever return.

@ignore todo
Freeman:
Throughout this section I wanted to see ``the value of @t{(current-input-port)}''
instead of ``the value returned by @var{current-input-port}''.  (Same for
@var{current-output-port}.)
@end ignore

@end deffn

@deffn {procedure} open-input-file  filename
Takes a string naming an existing file and returns an input port capable of
delivering characters from the file.  If the file cannot be opened, an error is
signalled.
@end deffn

@deffn {procedure} open-output-file  filename
Takes a string naming an output file to be created and returns an output
port capable of writing characters to a new file by that name.  If the file
cannot be opened, an error is signalled.  If a file with the given name
already exists, the effect is unspecified.
@end deffn

@deffn {procedure} close-input-port  port
@deffnx {procedure} close-output-port  port

Closes the file associated with @var{port}, rendering the @var{port}
incapable of delivering or accepting characters.  
@ignore todo
But maybe a no-op
on some ports, e.g. terminals or editor buffers.
@end ignore

These routines have no effect if the file has already been closed.
The value returned is unspecified.

@ignore todo
Ramsdell:  Some note is needed explaining why there are two
different close procedures.
@end ignore


@ignore todo
A port isn't necessarily still a port after it has been closed?
@end ignore
@end deffn

@node Input, Output, Ports, Input and output
@subsection Input

@noindent
 @w{ }  
@c ???
@sp 5
@ignore todo
The input routines have some things in common, maybe explain here.
@end ignore

@deffn {library procedure} read 
@deffnx {library procedure} read  port

@samp{Read} converts external representations of Scheme objects into the
objects themselves.  That is, it is a parser for the nonterminal
<datum> (see sections @ref{External representation} and
@ref{Pairs and lists}).  @samp{Read} returns the next
object parsable from the given input @var{port}, updating @var{port} to point to
the first character past the end of the external representation of the object.

If an end of file is encountered in the input before any
characters are found that can begin an object, then an end of file
object is returned.  
@ignore todo

@end ignore
 The port remains open, and further attempts
to read will also return an end of file object.  If an end of file is
encountered after the beginning of an object's external representation,
but the external representation is incomplete and therefore not parsable,
an error is signalled.

The @var{port} argument may be omitted, in which case it defaults to the
value returned by @samp{current-input-port}.  It is an error to read from
a closed port.
@end deffn

@deffn {procedure} read-char 
@deffnx {procedure} read-char  port
Returns the next character available from the input @var{port}, updating
the @var{port} to point to the following character.  If no more characters
are available, an end of file object is returned.  @var{Port} may be
omitted, in which case it defaults to the value returned by @samp{current-input-port}.
@end deffn

@deffn {procedure} peek-char 
@deffnx {procedure} peek-char  port

Returns the next character available from the input @var{port},
@emph{without} updating
the @var{port} to point to the following character.  If no more characters
are available, an end of file object is returned.  @var{Port} may be
omitted, in which case it defaults to the value returned by @samp{current-input-port}.

@quotation
@emph{Note:}
The value returned by a call to @samp{peek-char} is the same as the
value that would have been returned by a call to @samp{read-char} with the
same @var{port}.  The only difference is that the very next call to
@samp{read-char} or @samp{peek-char} on that @var{port} will return the
value returned by the preceding call to @samp{peek-char}.  In particular, a call
to @samp{peek-char} on an interactive port will hang waiting for input
whenever a call to @samp{read-char} would have hung.
@end quotation
@end deffn

@deffn {procedure} eof-object?  obj
Returns @t{#t} if @var{obj} is an end of file object, otherwise returns
@t{#f}.  The precise set of end of file objects will vary among
implementations, but in any case no end of file object will ever be an object
that can be read in using @samp{read}.
@end deffn

@deffn {procedure} char-ready? 
@deffnx {procedure} char-ready?  port

Returns @t{#t} if a character is ready on the input @var{port} and
returns @t{#f} otherwise.  If @samp{char-ready} returns @t{#t} then
the next @samp{read-char} operation on the given @var{port} is guaranteed
not to hang.  If the @var{port} is at end of file then @samp{char-ready?}
returns @t{#t}.  @var{Port} may be omitted, in which case it defaults to
the value returned by @samp{current-input-port}.

@sp 1
@emph{Rationale:}
@samp{Char-ready?} exists to make it possible for a program to
accept characters from interactive ports without getting stuck waiting for
input.  Any input editors associated with such ports must ensure that
characters whose existence has been asserted by @samp{char-ready?} cannot
be rubbed out.  If @samp{char-ready?} were to return @t{#f} at end of
file, a port at end of file would be indistinguishable from an interactive
port that has no ready characters.
@end deffn

@node Output, System interface, Input, Input and output
@subsection Output

@c  We've got to put something here to fix the indentation!!

@noindent
 @w{}
@sp 5

@deffn {library procedure} write  obj
@deffnx {library procedure} write  obj port

Writes a written representation of @var{obj} to the given @var{port}.  Strings
that appear in the written representation are enclosed in doublequotes, and
within those strings backslash and doublequote characters are
escaped by backslashes.
Character objects are written using the @samp{#\} notation.
@samp{Write} returns an unspecified value.  The
@var{port} argument may be omitted, in which case it defaults to the value
returned by @samp{current-output-port}.
@end deffn

@deffn {library procedure} display  obj
@deffnx {library procedure} display  obj port
Writes a representation of @var{obj} to the given @var{port}.  Strings
that appear in the written representation are not enclosed in
doublequotes, and no characters are escaped within those strings.  Character
objects appear in the representation as if written by @samp{write-char}
instead of by @samp{write}.  @samp{Display} returns an unspecified value.
The @var{port} argument may be omitted, in which case it defaults to the
value returned by @samp{current-output-port}.

@sp 1
@emph{Rationale:}
@samp{Write} is intended
for producing mach@-ine-readable output and @samp{display} is for producing
human-readable output.  Implementations that allow ``slashification''
within symbols will probably want @samp{write} but not @samp{display} to
slashify funny characters in symbols.
@end deffn

@deffn {library procedure} newline 
@deffnx {library procedure} newline  port

Writes an end of line to @var{port}.  Exactly how this is done differs
from one operating system to another.  Returns an unspecified value.
The @var{port} argument may be omitted, in which case it defaults to the
value returned by @samp{current-output-port}.
@end deffn

@deffn {procedure} write-char  char
@deffnx {procedure} write-char  char port
Writes the character @var{char} (not an external representation of the
character) to the given @var{port} and returns an unspecified value.  The
@var{port} argument may be omitted, in which case it defaults to the value
returned by @samp{current-output-port}.
@end deffn

@node System interface,  , Output, Input and output
@subsection System interface
Questions of system interface generally fall outside of the domain of this
report.  However, the following operations are important enough to
deserve description here.

@deffn {optional procedure} load  filename
@ignore todo
Fix
@end ignore

@c \domain{\var{Filename} should be a string naming an existing file
@c containing Scheme source code.} The {\cf load} procedure reads
@var{Filename} should be a string naming an existing file
containing Scheme source code.  The @samp{load} procedure reads
expressions and definitions from the file and evaluates them
sequentially.  It is unspecified whether the results of the expressions
are printed.  The @samp{load} procedure does not affect the values
returned by @samp{current-input-port} and @samp{current-output-port}.
@samp{Load} returns an unspecified value.

@sp 1
@emph{Rationale:}
For portability, @samp{load} must operate on source files.
Its operation on other kinds of files necessarily varies among
implementations.
@end deffn

@deffn {optional procedure} transcript-on  filename
@deffnx {optional procedure} transcript-off 
@var{Filename} must be a string naming an output file to be
created. The effect of @samp{transcript-on} is to open the named file
for output, and to cause a transcript of subsequent interaction between
the user and the Scheme system to be written to the file.  The
transcript is ended by a call to @samp{transcript-off}, which closes the
transcript file.  Only one transcript may be in progress at any time,
though some implementations may relax this restriction.  The values
returned by these procedures are unspecified.
@c \begin{note}
@c These procedures are redundant in some systems, but
@c systems that need them should provide them.
@c \end{note}
@end deffn
         
@page

@c @include{syn}
@node Formal syntax and semantics, Notes, Standard procedures, top
@chapter Formal syntax and semantics

@menu
* Formal syntax::               
* Formal semantics::            
* Derived expression type::     
@end menu

This chapter provides formal descriptions of what has already been
described informally in previous chapters of this report.

@ignore todo
Allow grammar to say that else clause needn't be last?
@end ignore

@node Formal syntax, Formal semantics, Formal syntax and semantics, Formal syntax and semantics
@section Formal syntax

@menu
* Lexical structure::           
* External representation::     
* Expression::                  
* Quasiquotations::             
* Transformers::                
* Programs and definitions::    
@end menu

This section provides a formal syntax for Scheme written in an extended
BNF.

All spaces in the grammar are for legibility.  Case is insignificant;
for example, @samp{#x1A} and @samp{#X1a} are equivalent.  <empty>
stands for the empty string.

The following extensions to BNF are used to make the description more
concise:  <thing>* means zero or more occurrences of
<thing>; and <thing>+ means at least one
<thing>.

@node Lexical structure, External representation, Formal syntax, Formal syntax
@subsection Lexical structure

This section describes how individual tokens (identifiers,
@cindex @w{token}
numbers, etc.) are formed from sequences of characters.  The following
sections describe how expressions and programs are formed from sequences
of tokens.

<Intertoken space> may occur on either side of any token, but not
within a token.

Tokens which require implicit termination (identifiers, numbers,
characters, and dot) may be terminated by any <delimiter>, but not
necessarily by anything else.

The following five characters are reserved for future extensions to the
language: @t{[ ] @{ @} |}


@format
@t{<token> --> <identifier> | <boolean> | <number>
@cindex @w{identifier}
     | <character> | <string>
     | ( | ) | #( | @t{'} | @t{`} | , | ,@@ | @b{.}
<delimiter> --> <whitespace> | ( | ) | " | ;
<whitespace> --> <space or newline>
<comment> --> ;  <@r{all subsequent characters up to a}
                 @r{line break>}
@cindex @w{comment}
<atmosphere> --> <whitespace> | <comment>
<intertoken space> --> <atmosphere>*}

@end format

@c  This is a kludge, but \multicolumn doesn't work in tabbing environments.

@format
@t{<identifier> --> <initial> <subsequent>*
     | <peculiar identifier>
<initial> --> <letter> | <special initial>
<letter> --> a | b | c | ... | z

<special initial> --> ! | $ | % | & | * | / | : | < | =
     | > | ? | ^ | _ | ~
<subsequent> --> <initial> | <digit>
     | <special subsequent>
<digit> --> 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9
<special subsequent> --> + | - | .@: | @@
<peculiar identifier> --> + | - | ...
@c \| 1+ \| -1+
<syntactic keyword> --> <expression keyword>
@cindex @w{syntactic keyword}
@cindex @w{keyword}
     | else | => | define 
     | unquote | unquote-splicing
<expression keyword> --> quote | lambda | if
     | set! | begin | cond | and | or | case
     | let | let* | letrec | do | delay
     | quasiquote

@w{@samp{<variable> @result{} <}}@r{any <identifier> that isn't}
@cindex @w{variable}
       @w{         @r{also a <syntactic keyword>>}}

<boolean> --> #t | #f
<character> --> #\ <any character>
     | #\ <character name>
<character name> --> space | newline
@ignore todo
Explain what happens in the ambiguous case.
@end ignore

<string> --> " <string element>* "
<string element> --> <any character other than " or \>
     | \" | \\ }
@end format

@format
@t{<number> --> <num 2>| <num 8>
     | <num 10>| <num 16>
}
@end format

The following rules for <num R>, <complex R>, <real
R>, <ureal R>, <uinteger R>, and <prefix R>
should be replicated for @w{R = 2, 8, 10,}
and 16.  There are no rules for <decimal 2>, <decimal
8>, and <decimal 16>, which means that numbers containing
decimal points or exponents must be in decimal radix.
@ignore todo
Mark Meyer and David Bartley want to fix this.  (What? -- Will)
@end ignore

@format
@t{<num R> --> <prefix R> <complex R>
<complex R> --> <real R> | <real R> @@ <real R>
    | <real R> + <ureal R> i | <real R> - <ureal R> i
    | <real R> + i | <real R> - i
    | + <ureal R> i | - <ureal R> i | + i | - i
<real R> --> <sign> <ureal R>
<ureal R> --> <uinteger R>
    | <uinteger R> / <uinteger R>
    | <decimal R>
<decimal 10> --> <uinteger 10> <suffix>
    | . <digit 10>+ #* <suffix>
    | <digit 10>+ . <digit 10>* #* <suffix>
    | <digit 10>+ #+ . #* <suffix>
<uinteger R> --> <digit R>+ #*
<prefix R> --> <radix R> <exactness>
    | <exactness> <radix R>
}
@end format

@format
@t{<suffix> --> <empty> 
    | <exponent marker> <sign> <digit 10>+
<exponent marker> --> e | s | f | d | l
<sign> --> <empty>  | + |  -
<exactness> --> <empty> | #i | #e
@cindex #e
@cindex #i
<radix 2> --> #b
@cindex #b
<radix 8> --> #o
@cindex #o
<radix 10> --> <empty> | #d
<radix 16> --> #x
@cindex #x
<digit 2> --> 0 | 1
<digit 8> --> 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7
<digit 10> --> <digit>
<digit 16> --> <digit 10> | a | b | c | d | e | f }
@end format

@ignore todo
Mark Meyer of TI sez, shouldn't we allow @t{1e3/2}?
@end ignore

@node External representation, Expression, Lexical structure, Formal syntax
@subsection External representations

<Datum> is what the @code{read} procedure (section @ref{Input})
@cindex @w{read}
successfully parses.  Note that any string that parses as an
<ex@-pres@-sion> will also parse as a <datum>.  

@format
@t{<datum> --> <simple datum> | <compound datum>
<simple datum> --> <boolean> | <number>
     | <character> | <string> |  <symbol>
<symbol> --> <identifier>
<compound datum> --> <list> | <vector>
<list> --> (<datum>*) | (<datum>+ .@: <datum>)
       | <abbreviation>
<abbreviation> --> <abbrev prefix> <datum>
<abbrev prefix> --> ' | ` | , | ,@@
<vector> --> #(<datum>*) }
@end format

@node Expression, Quasiquotations, External representation, Formal syntax
@subsection Expressions

@format
@t{<expression> --> <variable>
     | <literal>
     | <procedure call>
     | <lambda expression>
     | <conditional>
     | <assignment>
     | <derived expression>
     | <macro use>
     | <macro block>

<literal> --> <quotation> | <self-evaluating>
<self-evaluating> --> <boolean> | <number>
     | <character> | <string>
<quotation> --> '<datum> | (quote <datum>)
<procedure call> --> (<operator> <operand>*)
<operator> --> <expression>
<operand> --> <expression>

<lambda expression> --> (lambda <formals> <body>)
<formals> --> (<variable>*) | <variable>
     | (<variable>+ .@: <variable>)
<body> --> <definition>* <sequence>
<sequence> --> <command>* <expression>
<command> --> <expression>

<conditional> --> (if <test> <consequent> <alternate>)
<test> --> <expression>
<consequent> --> <expression>
<alternate> --> <expression> | <empty>

<assignment> --> (set! <variable> <expression>)

<derived expression> -->
       (cond <cond clause>+)
     | (cond <cond clause>* (else <sequence>))
     | (case <expression>
         <case clause>+)
     | (case <expression>
         <case clause>*
         (else <sequence>))
     | (and <test>*)
     | (or <test>*)
     | (let (<binding spec>*) <body>)
     | (let <variable> (<binding spec>*) <body>)
     | (let* (<binding spec>*) <body>)
     | (letrec (<binding spec>*) <body>)
     | (begin <sequence>)
     | (do (<iteration spec>*)
           (<test> <do result>)
         <command>*)
     | (delay <expression>)
     | <quasiquotation>

<cond clause> --> (<test> <sequence>)
      | (<test>)
      | (<test> => <recipient>)
<recipient> --> <expression>
<case clause> --> ((<datum>*) <sequence>)
<binding spec> --> (<variable> <expression>)
<iteration spec> --> (<variable> <init> <step>)
    | (<variable> <init>)
<init> --> <expression>
<step> --> <expression>
<do result> --> <sequence> | <empty>

<macro use> --> (<keyword> <datum>*)
<keyword> --> <identifier>

<macro block> -->
     (let-syntax (<syntax spec>*) <body>)
     | (letrec-syntax (<syntax spec>*) <body>)
<syntax spec> --> (<keyword> <transformer spec>)

}
@end format

@node Quasiquotations, Transformers, Expression, Formal syntax
@subsection Quasiquotations

The following grammar for quasiquote expressions is not context-free.
It is presented as a recipe for generating an infinite number of
production rules.  Imagine a copy of the following rules for D = 1, 2,3, @dots{}.  D keeps track of the nesting depth.

@format
@t{<quasiquotation> --> <quasiquotation 1>
<qq template 0> --> <expression>
<quasiquotation D> --> `<qq template D>
       | (quasiquote <qq template D>)
<qq template D> --> <simple datum>
       | <list qq template D>
       | <vector qq template D>
       | <unquotation D>
<list qq template D> --> (<qq template or splice D>*)
       | (<qq template or splice D>+ .@: <qq template D>)
       | '<qq template D>
       | <quasiquotation D+1>
<vector qq template D> --> #(<qq template or splice D>*)
<unquotation D> --> ,<qq template D-1>
       | (unquote <qq template D-1>)
<qq template or splice D> --> <qq template D>
       | <splicing unquotation D>
<splicing unquotation D> --> ,@@<qq template D-1>
       | (unquote-splicing <qq template D-1>) }
@end format

In <quasiquotation>s, a <list qq template D> can sometimes
be confused with either an <un@-quota@-tion D> or a <splicing
un@-quo@-ta@-tion D>.  The interpretation as an
<un@-quo@-ta@-tion> or <splicing
un@-quo@-ta@-tion D> takes precedence.

@node Transformers, Programs and definitions, Quasiquotations, Formal syntax
@subsection Transformers

@format
@t{<transformer spec> -->
    (syntax-rules (<identifier>*) <syntax rule>*)
<syntax rule> --> (<pattern> <template>)
<pattern> --> <pattern identifier>
     | (<pattern>*)
     | (<pattern>+ . <pattern>)
     | (<pattern>* <pattern> <ellipsis>)
     | #(<pattern>*)
     | #(<pattern>* <pattern> <ellipsis>)
     | <pattern datum>
<pattern datum> --> <string>
     | <character>
     | <boolean>
     | <number>
<template> --> <pattern identifier>
     | (<template element>*)
     | (<template element>+ . <template>)
     | #(<template element>*)
     | <template datum>
<template element> --> <template>
     | <template> <ellipsis>
<template datum> --> <pattern datum>
<pattern identifier> --> <any identifier except @samp{...}>
<ellipsis> --> <the identifier @samp{...}>
}
@end format

@node Programs and definitions,  , Transformers, Formal syntax
@subsection Programs and definitions

@format
@t{<program> --> <command or definition>*
<command or definition> --> <command>
    | <definition>
    | <syntax definition>
    | (begin <command or definition>+)
<definition> --> (define <variable> <expression>)
      | (define (<variable> <def formals>) <body>)
      | (begin <definition>*)
<def formals> --> <variable>*
      | <variable>* .@: <variable>
<syntax definition> -->
     (define-syntax <keyword> <transformer spec>)
}
@end format
       
@node Formal semantics, Derived expression type, Formal syntax, Formal syntax and semantics
@section Formal semantics

This section provides a formal denotational semantics for the primitive
expressions of Scheme and selected built-in procedures.  The concepts
and notation used here are described in @sc{[Stoy77]}.

@quotation
@emph{Note:} The formal semantics section was written in La@TeX{} which
is incompatible with @TeX{}info.  See the Formal semantics section of
the original document from which this was derived.
@end quotation
        
@c @include{derive}
@node Derived expression type,  , Formal semantics, Formal syntax and semantics
@section Derived expression types

This section gives macro definitions for the derived expression types in
terms of the primitive expression types (literal, variable, call, @samp{lambda},
@samp{if}, @samp{set!}).  See section @ref{Control features} for a possible
definition of @samp{delay}.

@smalllisp
(define-syntax cond
  (syntax-rules (else =>)
    ((cond (else result1 result2 ...))
     (begin result1 result2 ...))
    ((cond (test => result))
     (let ((temp test))
       (if temp (result temp))))
    ((cond (test => result) clause1 clause2 ...)
     (let ((temp test))
       (if temp
           (result temp)
           (cond clause1 clause2 ...))))
    ((cond (test)) test)
    ((cond (test) clause1 clause2 ...)
     (let ((temp test))
       (if temp
           temp
           (cond clause1 clause2 ...))))
    ((cond (test result1 result2 ...))
     (if test (begin result1 result2 ...)))
    ((cond (test result1 result2 ...)
           clause1 clause2 ...)
     (if test
         (begin result1 result2 ...)
         (cond clause1 clause2 ...)))))
@end smalllisp

@smalllisp
(define-syntax case
  (syntax-rules (else)
    ((case (key ...)
       clauses ...)
     (let ((atom-key (key ...)))
       (case atom-key clauses ...)))
    ((case key
       (else result1 result2 ...))
     (begin result1 result2 ...))
    ((case key
       ((atoms ...) result1 result2 ...))
     (if (memv key '(atoms ...))
         (begin result1 result2 ...)))
    ((case key
       ((atoms ...) result1 result2 ...)
       clause clauses ...)
     (if (memv key '(atoms ...))
         (begin result1 result2 ...)
         (case key clause clauses ...)))))
@end smalllisp

@smalllisp
(define-syntax and
  (syntax-rules ()
    ((and) #t)
    ((and test) test)
    ((and test1 test2 ...)
     (if test1 (and test2 ...) #f))))
@end smalllisp

@smalllisp
(define-syntax or
  (syntax-rules ()
    ((or) #f)
    ((or test) test)
    ((or test1 test2 ...)
     (let ((x test1))
       (if x x (or test2 ...))))))
@end smalllisp

@smalllisp
(define-syntax let
  (syntax-rules ()
    ((let ((name val) ...) body1 body2 ...)
     ((lambda (name ...) body1 body2 ...)
      val ...))
    ((let tag ((name val) ...) body1 body2 ...)
     ((letrec ((tag (lambda (name ...)
                      body1 body2 ...)))
        tag)
      val ...))))
@end smalllisp

@smalllisp
(define-syntax let*
  (syntax-rules ()
    ((let* () body1 body2 ...)
     (let () body1 body2 ...))
    ((let* ((name1 val1) (name2 val2) ...)
       body1 body2 ...)
     (let ((name1 val1))
       (let* ((name2 val2) ...)
         body1 body2 ...)))))
@end smalllisp

The following @samp{letrec} macro uses the symbol @samp{<undefined>}
in place of an expression which returns something that when stored in
a location makes it an error to try to obtain the value stored in the
location (no such expression is defined in Scheme).
A trick is used to generate the temporary names needed to avoid
specifying the order in which the values are evaluated.
This could also be accomplished by using an auxiliary macro.

@smalllisp
(define-syntax letrec
  (syntax-rules ()
    ((letrec ((var1 init1) ...) body ...)
     (letrec "generate temp names"
       (var1 ...)
       ()
       ((var1 init1) ...)
       body ...))
    ((letrec "generate temp names"
       ()
       (temp1 ...)
       ((var1 init1) ...)
       body ...)
     (let ((var1 <undefined>) ...)
       (let ((temp1 init1) ...)
         (set! var1 temp1)
         ...
         body ...)))
    ((letrec "generate temp names"
       (x y ...)
       (temp ...)
       ((var1 init1) ...)
       body ...)
     (letrec "generate temp names"
       (y ...)
       (newtemp temp ...)
       ((var1 init1) ...)
       body ...))))
@end smalllisp

@smalllisp
(define-syntax begin
  (syntax-rules ()
    ((begin exp ...)
     ((lambda () exp ...)))))
@end smalllisp

The following alternative expansion for @samp{begin} does not make use of
the ability to write more than one expression in the body of a lambda
expression.  In any case, note that these rules apply only if the body
of the @samp{begin} contains no definitions.

@smalllisp
(define-syntax begin
  (syntax-rules ()
    ((begin exp)
     exp)
    ((begin exp1 exp2 ...)
     (let ((x exp1))
       (begin exp2 ...)))))
@end smalllisp

The following definition
of @samp{do} uses a trick to expand the variable clauses.
As with @samp{letrec} above, an auxiliary macro would also work.
The expression @samp{(if #f #f)} is used to obtain an unspecific
value.

@smalllisp
(define-syntax do
  (syntax-rules ()
    ((do ((var init step ...) ...)
         (test expr ...)
         command ...)
     (letrec
       ((loop
         (lambda (var ...)
           (if test
               (begin
                 (if #f #f)
                 expr ...)
               (begin
                 command
                 ...
                 (loop (do "step" var step ...)
                       ...))))))
       (loop init ...)))
    ((do "step" x)
     x)
    ((do "step" x y)
     y)))
@end smalllisp

@c  `a                =  Q_1[a]
@c  `(a b c ... . z)  =  `(a . (b c ...))
@c  `(a . b)          =  (append Q*_0[a] `b)
@c  `(a)              =  Q*_0[a]
@c  Q*_0[a]           =  (list 'a)
@c  Q*_0[,a]          =  (list a)
@c  Q*_0[,@a]         =  a
@c  Q*_0[`a]          =  (list 'quasiquote Q*_1[a])
@c  `#(a b ...)       =  (list->vector `(a b ...))
@c   ugh.
         
@page

@chapter Concepts
@printindex cp
@page

@chapter Variables and Procedures
@printindex pg

@c @include{notes}
@node Notes, Additional material, Formal syntax and semantics, top
@unnumbered Notes

@menu
* Language changes::            
@end menu

@ignore todo
Perhaps this section should be made to disappear.
Can these remarks be moved somewhere else?
@end ignore

@node Language changes,  , Notes, Notes
@unnumberedsec Language changes

This section enumerates the changes that have been made to Scheme since
the ``Revised^4 report'' [R4RS] was published.

@itemize @bullet

@item
The report is now a superset of the IEEE standard for Scheme
[IEEEScheme]: implementations that conform to the report will
also conform to the standard.  This required the following changes:

@itemize @bullet

@item
The empty list is now required to count as true.

@item
The classification of features as essential or inessential has been
removed.  There are now three classes of built-in procedures: primitive,
library, and optional.  The optional procedures are @samp{load},
@samp{with-input-from-file}, @samp{with-output-to-file},
@samp{transcript-on}, @samp{transcript-off}, and
@samp{interaction-environment},
and @samp{-} and @samp{/} with more than two arguments.
None of these are in the IEEE standard.

@item
Programs are allowed to redefine built-in procedures.  Doing so
will not change the behavior of other built-in procedures.

@end itemize

@item
@emph{Port} has been added to the list of disjoint types.

@item
The macro appendix has been removed.  High-level macros are now part
of the main body of the report.  The rewrite rules for derived expressions
have been replaced with macro definitions.  There are no reserved identifiers.

@item
@samp{Syntax-rules} now allows vector patterns.

@item
Multiple-value returns, @samp{eval}, and @samp{dynamic-wind} have
been added.

@item
The calls that are required to be implemented in a properly tail-recursive
fashion are defined explicitly.

@item
`@samp{@@}' can be used within identifiers. `@samp{|}' is reserved
for possible future extensions.

@end itemize

@c %R4%%
@c \subsection*{Keywords as variable names}

@c Some implementations allow arbitrary syntactic
@c keywords \index{keyword}\index{syntactic keyword}to be used as variable
@c names, instead of reserving them, as this report would have
@c it.\index{variable} But this creates ambiguities in the interpretation
@c of expressions: for example, in the following, it's not clear whether
@c the expression {\tt (if 1 2 3)} should be treated as a procedure call or
@c as a conditional.

@c \begin{scheme}
@c (define if list)
@c (if 1 2 3)    \ev  2 {\em{}or} (1 2 3)%
@c \end{scheme}

@c These ambiguities are usually resolved in some consistent way within any
@c given implementation, but no particular treatment stands out as being
@c clearly superior to any other, so these situations were excluded for the
@c purposes of this report.

@c %R4%%
@c \subsection*{Macros}

@c Scheme does not have any standard facility for defining new kinds of
@c expressions.\index{macros}

@c \vest The ability to alter the syntax of the language creates
@c numerous problems.  All current implementations of Scheme have macro
@c facilities that solve those problems to one degree or another, but the
@c solutions are quite different and it isn't clear at this time which
@c solution is best, or indeed whether any of the solutions are truly
@c adequate.  Rather than standardize, we are encouraging implementations
@c to continue to experiment with different solutions.

@c \vest The main problems with traditional macros are: They must be
@c defined to the system before any code using them is loaded; this is a
@c common source of obscure bugs.  They are usually global; macros can be
@c made to follow lexical scope rules \todo{flushed: ``as in Common
@c Lisp's {\tt macrolet}''; OK?}, but many people find the resulting scope rules
@c confusing.  Unless they are written very carefully, macros are
@c vulnerable to inadvertent capture of free variables; to get around this,
@c for example, macros may have to generate code in which procedure values
@c appear as quoted constants.  There is a similar problem with syntactic
@c keywords if the keywords of special forms are not reserved.  If keywords
@c are reserved, then either macros introduce new reserved words,
@c invalidating old code, or else special forms defined by the programmer
@c do not have the same status as special forms defined by the system.

@c \todo{Refer to Pitman's special forms paper.}
@c \todo{Pitman sez: Discuss importance of having a small number of special forms
@c so that programs can inspect each other.}

@ignore todo
Move cwcc history back here? --- Andy Cromarty is concerned about
confusion over who the audience is.
@end ignore

@ignore todo
Cromarty:
23. NOTES, p.35ff.: This material should stay somehow.  We need to
    make it clear that R^3 Scheme is not being touted as Yet Another
    Ultimate Solution To The Programming Language Problem, but rather
    as a snapshot of a *process* of good design, for which not all
    answers have yet been found.  We also ought to use the opportunity
    for publicity afforded us by SIGPLAN to advertise some of the thorny
    unsolved problems that need further research, and encourage
    language designers to work on them.
@end ignore
       
@c @include{repository}
@node Additional material, Example, Notes, top
@unnumbered Additional material

The Internet Scheme Repository at:
@url{http://www.cs.indiana.edu/scheme-repository/}

contains an extensive Scheme bibliography, as well as papers,
programs, implementations, and other material related to Scheme.
  
@page

@c @include{example}

@node Example, Bibliography, Additional material, top
@unnumbered Example
 
@c  -*- Mode: Lisp; Package: SCHEME; Syntax: Common-lisp -*-

@samp{Integrate-system} integrates the system 

@center @math{y'_k^ = f_k(y_1, y_2, @dots{}, y_n),    k = 1, @dots{}, n}

of differential equations with the method of Runge-Kutta.

The parameter @t{system-derivative} is a function that takes a system
state (a vector of values for the state variables @math{y_1}, @dots{}, 
@math{y_n})
and produces a system derivative (the values @math{y'_1}, @dots{}, 
@math{y'_n}).  The parameter @t{initial-state} provides an initial
system state, and @t{h} is an initial guess for the length of the
integration step.

The value returned by @samp{integrate-system} is an infinite stream of
system states.

@smalllisp
(define integrate-system
  (lambda (system-derivative initial-state h)
    (let ((next (runge-kutta-4 system-derivative h)))
      (letrec ((states
                (cons initial-state
                      (delay (map-streams next
                                          states)))))
        states))))
@end smalllisp

@samp{Runge-Kutta-4} takes a function, @t{f}, that produces a
system derivative from a system state.  @samp{Runge-Kutta-4}
produces a function that takes a system state and
produces a new system state.


@smalllisp
(define runge-kutta-4
  (lambda (f h)
    (let ((*h (scale-vector h))
          (*2 (scale-vector 2))
          (*1/2 (scale-vector (/ 1 2)))
          (*1/6 (scale-vector (/ 1 6))))
      (lambda (y)
        ;; y @r{}is a system state
        (let* ((k0 (*h (f y)))
               (k1 (*h (f (add-vectors y (*1/2 k0)))))
               (k2 (*h (f (add-vectors y (*1/2 k1)))))
               (k3 (*h (f (add-vectors y k2)))))
          (add-vectors y
            (*1/6 (add-vectors k0
                               (*2 k1)
                               (*2 k2)
                               k3))))))))

(define elementwise
  (lambda (f)
    (lambda vectors
      (generate-vector
        (vector-length (car vectors))
        (lambda (i)
          (apply f
                 (map (lambda (v) (vector-ref  v i))
                      vectors)))))))

(define generate-vector
  (lambda (size proc)
    (let ((ans (make-vector size)))
      (letrec ((loop
                (lambda (i)
                  (cond ((= i size) ans)
                        (else
                         (vector-set! ans i (proc i))
                         (loop (+ i 1)))))))
        (loop 0)))))

(define add-vectors (elementwise +))

(define scale-vector
  (lambda (s)
    (elementwise (lambda (x) (* x s)))))
@end smalllisp

@samp{Map-streams} is analogous to @samp{map}: it applies its first
argument (a procedure) to all the elements of its second argument (a
stream).

@smalllisp
(define map-streams
  (lambda (f s)
    (cons (f (head s))
          (delay (map-streams f (tail s))))))
@end smalllisp

Infinite streams are implemented as pairs whose car holds the first
element of the stream and whose cdr holds a promise to deliver the rest
of the stream.

@smalllisp
(define head car)
(define tail
  (lambda (stream) (force (cdr stream))))
@end smalllisp

The following illustrates the use of @samp{integrate-system} in
integrating the system

@center  @math{C dv_C / dt = -i_L - v_C / R}

@center  @math{L di_L / dt = v_C}

which models a damped oscillator.

@smalllisp
(define damped-oscillator
  (lambda (R L C)
    (lambda (state)
      (let ((Vc (vector-ref state 0))
            (Il (vector-ref state 1)))
        (vector (- 0 (+ (/ Vc (* R C)) (/ Il C)))
                (/ Vc L))))))

(define the-states
  (integrate-system
     (damped-oscillator 10000 1000 .001)
     '#(1 0)
     .01))
@end smalllisp

@ignore todo
Show some output?
@end ignore

@c  (letrec ((loop (lambda (s)
@c                 (newline)
@c                 (write (head s))
@c                 (loop (tail s)))))
@c    (loop the-states))

@c  #(1 0)
@c  #(0.99895054 9.994835e-6)
@c  #(0.99780226 1.9978681e-5)
@c  #(0.9965554 2.9950552e-5)
@c  #(0.9952102 3.990946e-5)
@c  #(0.99376684 4.985443e-5)
@c  #(0.99222565 5.9784474e-5)
@c  #(0.9905868 6.969862e-5)
@c  #(0.9888506 7.9595884e-5)
@c  #(0.9870173 8.94753e-5)
         
@page

@c \newpage                   %  Put bib on it's own page (it's just one)
@c \twocolumn[\vspace{-.18in}]%  Last bib item was on a page by itself.
@c \renewcommand{\bibname}{References}
@c @include{bib}

@c  My reference for proper reference format is:
@c     Mary-Claire van Leunen.
@c     {\em A Handbook for Scholars.}
@c     Knopf, 1978.
@c  I think the references list would look better in ``open'' format,
@c  i.e. with the three blocks for each entry appearing on separate
@c  lines.  I used the compressed format for SIGPLAN in the interest of
@c  space.  In open format, when a block runs over one line,
@c  continuation lines should be indented; this could probably be done
@c  using some flavor of latex list environment.  Maybe the right thing
@c  to do in the long run would be to convert to Bibtex, which probably
@c  does the right thing, since it was implemented by one of van
@c  Leunen's colleagues at DEC SRC.
@c   -- Jonathan

@c  I tried to follow Jonathan's format, insofar as I understood it.
@c  I tried to order entries lexicographically by authors (with singly
@c  authored papers first), then by date.
@c  In some cases I replaced a technical report or conference paper
@c  by a subsequent journal article, but I think there are several
@c  more such replacements that ought to be made.
@c   -- Will, 1991.

@c  This is just a personal remark on your question on the RRRS:
@c  The language CUCH (Curry-Church) was implemented by 1964 and 
@c  is a practical version of the lambda-calculus (call-by-name).
@c  One reference you may find in Formal Language Description Languages
@c  for Computer Programming T.~B.~Steele, 1965 (or so).
@c   -- Matthias Felleisen

@c  Rather than try to keep the bibliography up-to-date, which is hopeless
@c  given the time between updates, I replaced the bulk of the references
@c  with a pointer to the Scheme Repository.  Ozan Yigit's bibliography in
@c  the repository is a superset of the R4RS one.
@c  The bibliography now contains only items referenced within the report.
@c   -- Richard, 1996.

@node Bibliography, Index, Example, top
@unnumbered Bibliography

@itemize @bullet
@c 999

@item [SICP]
@cindex SICP
Harold Abelson and Gerald Jay Sussman with Julie Sussman.
@emph{Structure and Interpretation of Computer Programs, second edition.}
MIT Press, Cambridge, 1996.

@item [Bawden88] 
@c new
Alan Bawden and Jonathan Rees.
@cindex Bawden88
Syntactic closures.
In @emph{Proceedings of the 1988 ACM Symposium on Lisp and
  Functional Programming}, pages 86--95.

@item [howtoprint]
@cindex howtoprint
Robert G. Burger and R. Kent Dybvig.
Printing floating-point numbers quickly and accurately.
In @emph{Proceedings of the ACM SIGPLAN '96 Conference
  on Programming Language Design and Implementation}, pages 108--116.

@item [RRRS]
@cindex RRRS
William Clinger, editor.
The revised revised report on Scheme, or an uncommon Lisp.
MIT Artificial Intelligence Memo 848, August 1985.
Also published as Computer Science Department Technical Report 174,
  Indiana University, June 1985.

@item [howtoread] 
@c new
William Clinger.
@cindex howtoread
How to read floating point numbers accurately.
In @emph{Proceedings of the ACM SIGPLAN '90 Conference
  on Programming Language Design and Implementation}, pages 92--101.
Proceedings published as @emph{SIGPLAN Notices} 25(6), June 1990.

@item [R4RS]
@cindex R4RS
William Clinger and Jonathan Rees, editors.
The revised^4 report on the algorithmic language Scheme.
In @emph{ACM Lisp Pointers} 4(3), pages 1--55, 1991.

@item [macrosthatwork] 
@c new
William Clinger and Jonathan Rees.
@cindex macrosthatwork
Macros that work.
In @emph{Proceedings of the 1991 ACM Conference on Principles of
  Programming Languages}, pages 155--162.

@item [propertailrecursion] 
@c new
William Clinger.
@cindex propertailrecursion
Proper Tail Recursion and Space Efficiency.
To appear in @emph{Proceedings of the 1998 ACM Conference on Programming
 Language Design and Implementation}, June 1998.

@item [syntacticabstraction]
@cindex syntacticabstraction
R. Kent Dybvig, Robert Hieb, and Carl Bruggeman.
Syntactic abstraction in Scheme.
@emph{Lisp and Symbolic Computation} 5(4):295--326, 1993.

@item [Scheme311]
@cindex Scheme311
Carol Fessenden, William Clinger, Daniel P. Friedman, and Christopher Haynes.
Scheme 311 version 4 reference manual.
Indiana University Computer Science Technical Report 137, February 1983.
Superseded by [Scheme84].

@item [Scheme84]
@cindex Scheme84
D. Friedman, C. Haynes, E. Kohlbecker, and M. Wand.
Scheme 84 interim reference manual.
Indiana University Computer Science Technical Report 153, January 1985.

@item [IEEE]
@cindex IEEE
@emph{IEEE Standard 754-1985.  IEEE Standard for Binary Floating-Point
Arithmetic.}  IEEE, New York, 1985.

@item [IEEEScheme]
@cindex IEEEScheme
@emph{IEEE Standard 1178-1990.  IEEE Standard for the Scheme
  Programming Language.}  IEEE, New York, 1991.

@item [Kohlbecker86]
@cindex Kohlbecker86
Eugene E. Kohlbecker Jr.
@emph{Syntactic Extensions in the Programming Language Lisp.}
PhD thesis, Indiana University, August 1986.

@item [hygienic]
@cindex hygienic
Eugene E. Kohlbecker Jr., Daniel P. Friedman, Matthias Felleisen, and Bruce Duba.
Hygienic macro expansion.
In @emph{Proceedings of the 1986 ACM Conference on Lisp
  and Functional Programming}, pages 151--161.

@item [Landin65]
@cindex Landin65
Peter Landin.
A correspondence between Algol 60 and Church's lambda notation: Part I.
@emph{Communications of the ACM} 8(2):89--101, February 1965.

@item [MITScheme]
@cindex MITScheme
MIT Department of Electrical Engineering and Computer Science.
Scheme manual, seventh edition.
September 1984.

@item [Naur63]
@cindex Naur63
Peter Naur et al.
Revised report on the algorithmic language Algol 60.
@emph{Communications of the ACM} 6(1):1--17, January 1963.

@item [Penfield81]
@cindex Penfield81
Paul Penfield, Jr.
Principal values and branch cuts in complex APL.
In @emph{APL '81 Conference Proceedings,} pages 248--256.
ACM SIGAPL, San Francisco, September 1981.
Proceedings published as @emph{APL Quote Quad} 12(1), ACM, September 1981.

@item [Pitman83]
@cindex Pitman83
Kent M. Pitman.
The revised MacLisp manual (Saturday evening edition).
MIT Laboratory for Computer Science Technical Report 295, May 1983.

@item [Rees82]
@cindex Rees82
Jonathan A. Rees and Norman I. Adams IV.
T: A dialect of Lisp or, lambda: The ultimate software tool.
In @emph{Conference Record of the 1982 ACM Symposium on Lisp and
  Functional Programming}, pages 114--122.

@item [Rees84]
@cindex Rees84
Jonathan A. Rees, Norman I. Adams IV, and James R. Meehan.
The T manual, fourth edition.
Yale University Computer Science Department, January 1984.

@item [R3RS]
@cindex R3RS
Jonathan Rees and William Clinger, editors.
The revised^3 report on the algorithmic language Scheme.
In @emph{ACM SIGPLAN Notices} 21(12), pages 37--79, December 1986.

@item [Reynolds72]
@cindex Reynolds72
John Reynolds.
Definitional interpreters for higher order programming languages.
In @emph{ACM Conference Proceedings}, pages 717--740.
ACM, 
@ignore todo
month?
@end ignore
 1972.

@item [Scheme78]
@cindex Scheme78
Guy Lewis Steele Jr. and Gerald Jay Sussman.
The revised report on Scheme, a dialect of Lisp.
MIT Artificial Intelligence Memo 452, January 1978.

@item [Rabbit]
@cindex Rabbit
Guy Lewis Steele Jr.
Rabbit: a compiler for Scheme.
MIT Artificial Intelligence Laboratory Technical Report 474, May 1978.

@item [CLtL]
@cindex CLtL
Guy Lewis Steele Jr.
@emph{Common Lisp: The Language, second edition.}
Digital Press, Burlington MA, 1990.

@item [Scheme75]
@cindex Scheme75
Gerald Jay Sussman and Guy Lewis Steele Jr.
Scheme: an interpreter for extended lambda calculus.
MIT Artificial Intelligence Memo 349, December 1975.

@item [Stoy77]
@cindex Stoy77
Joseph E. Stoy.
@emph{Denotational Semantics: The Scott-Strachey Approach to
  Programming Language Theory.}
MIT Press, Cambridge, 1977.

@item [TImanual85]
@cindex TImanual85
Texas Instruments, Inc.
TI Scheme Language Reference Manual.
Preliminary version 1.0, November 1985. 

@end itemize

@page

@c  Adjustment to avoid having the last index entry on a page by itself.
@c \addtolength{\baselineskip}{-0.1pt}

@node Index,  , Bibliography, top

The principal entry for each term, procedure, or keyword is listed
first, separated from the other entries by a semicolon.

@ifinfo
@unnumberedsec References
@printindex pg
@end ifinfo

@iftex
@contents
@end iftex

@bye
