In
Lisp
Lisp (historically LISP, an abbreviation of "list processing") is a family of programming languages with a long history and a distinctive, fully parenthesized Polish notation#Explanation, prefix notation.
Originally specified in the late 1950s, ...
programming languages, a fexpr is a function whose operands are passed to it without being evaluated. When a fexpr is called, only the body of the fexpr is evaluated; no other evaluations take place except when explicitly initiated by the fexpr. In contrast, when an ordinary Lisp function is called, the operands are evaluated automatically, and only the results of these evaluations are provided to the function; and when a (traditional)
Lisp macro is called, the operands are passed in unevaluated, but whatever result the macro function returns is automatically evaluated.
Origin of the name "fexpr"
In early Lisp, the environment mapped each symbol to an
association list
In computer programming and particularly in Lisp, an association list, often referred to as an alist, is a linked list in which each list element (or node) comprises a key and a value. The association list is said to ''associate'' the value wit ...
, rather than directly to a value.
[McCarthy et al., ''Lisp I Programmer's Manual'', pp. 88–91.] Standard keys for these lists included two keys used to store a data value, to be looked up when the symbol occurred as an argument ( and ); and four keys used to store a function, to be looked up when the symbol occurred as an operator. Of the function keys, indicated a compiled ordinary function, whose operands were evaluated and passed to it; indicated a compiled special form, whose operands were passed unevaluated; indicated a user-defined ordinary function; and indicated a user-defined special form. The only difference between a FEXPR and an EXPR was whether the operands were automatically evaluated.
In strict original usage, a FEXPR is therefore a user-defined function whose operands are passed unevaluated. However, in later usage the term ''fexpr'' may describe any
first-class function
In computer science, a programming language is said to have first-class functions if it treats function (programming), functions as first-class citizens. This means the language supports passing functions as arguments to other functions, returning ...
whose operands are passed unevaluated, regardless of whether the function is primitive or user-defined.
[Pitman, ''The Revised MacLisp Manual'', p. 75.]
Example
As a simple illustration of how fexprs work, here is a fexpr definition written in the
Kernel programming language, which is similar to
Scheme. (By convention in Kernel, the names of fexprs always start with .)
($define! $f
($vau (x y z) e
($if (>=? (eval x e) 0)
(eval y e)
(eval z e))))
This definition provides a fexpr called , which takes three operands. When the fexpr is called, a local
environment is created by extending the static environment where the fexpr was defined. Local bindings are then created: symbols , , and are bound to the three operands of the call to the fexpr, and symbol is bound to the dynamic environment from which the fexpr is being called. The body of the fexpr, ..., is then evaluated in this local environment, and the result of that evaluation becomes the result of the call to the fexpr. The net effect is that the first operand is evaluated in the dynamic environment, and, depending on whether the result of that evaluation is non-negative, either the second or the third operand is evaluated and that result returned. The other operand, either the third or the second, is not evaluated.
This example is
statically scoped: the local environment is an extension of the static environment. Before about 1980, the Lisp languages that supported fexprs were mainly dynamically scoped: the local environment was an extension of the dynamic environment, rather than of the static environment.
[Steele and Gabriel, "The Evolution of Lisp", pp. 239–240.] However, it was still sometimes necessary to provide a local name for the dynamic environment, to avoid
capturing the local parameter names.
[Pitman, ''The Revised MacLisp Manual'', p. 62]
Mainstream use and deprecation
Fexpr support continued in
Lisp 1.5, the last substantially standard dialect of Lisp before it fragmented into multiple languages.
[Steele and Gabriel, "The Evolution of Lisp", pp. 231-232.] In the 1970s, the two dominant Lisp languages
[Steele and Gabriel, "The Evolution of Lisp", p. 235.] —
MacLisp
Maclisp (or MACLISP, sometimes styled MacLisp or MacLISP) is a programming language, a dialect of the language Lisp. It originated at the Massachusetts Institute of Technology's (MIT) Project MAC (from which it derived its prefix) in the late 19 ...
and
Interlisp
Interlisp (also seen with a variety of capitalizations) is a programming environment built around a version of the programming language Lisp. Interlisp development began in 1966 at Bolt, Beranek and Newman (renamed BBN Technologies) in Cambridge, ...
— both supported fexprs.
[Pitman, ''The Revised MacLisp Manual'', p. 182.]
At the 1980
Conference on Lisp and Functional Programming,
Kent Pitman
Kent M. Pitman (KMP) is a programmer who has been involved for many years in the design, implementation, and use of systems based on the programming languages Lisp and Scheme. , he has been President of HyperMeta Inc.
Pitman was chair of the ad h ...
presented a paper "Special Forms in Lisp" in which he discussed the advantages and disadvantages of macros and fexprs, and ultimately condemned fexprs. His central objection was that, in a Lisp dialect that allows fexprs,
static analysis
Static analysis, static projection, or static scoring is a simplified analysis wherein the effect of an immediate change to a system is calculated without regard to the longer-term response of the system to that change. If the short-term effect i ...
cannot determine generally whether an operator represents an ordinary function or a fexpr — therefore, static analysis cannot determine whether or not the operands will be evaluated. In particular, the compiler cannot tell whether a subexpression can be safely optimized, since the subexpression might be treated as unevaluated data at run-time.
Since the decline of MacLisp and Interlisp, the two Lisp languages that had risen to dominance by 1993
[Steele and Gabriel, "The Evolution of Lisp", pp. 245–248] —
Scheme and
Common Lisp
Common Lisp (CL) is a dialect of the Lisp programming language, published in American National Standards Institute (ANSI) standard document ''ANSI INCITS 226-1994 (S2018)'' (formerly ''X3.226-1994 (R1999)''). The Common Lisp HyperSpec, a hyperli ...
— do not support fexprs.
newLISP
newLISP is a scripting language, a dialect of the Lisp family of programming languages. It was designed and developed by Lutz Mueller. Because of its small resource requirements, newLISP is excellent for embedded systems applications. Most of th ...
does support fexprs, but calls them "macros". In
Picolisp all built-in functions are , while Lisp-level functions are exprs, fexprs, , or a mixture of those.
Fexprs since 1980
Starting with
Brian Smith's
3-Lisp in 1982, several experimental Lisp dialects have been devised to explore the limits of
computational reflection. To support reflection, these Lisps support procedures that can
reify various data structures related to the call to them — including the unevaluated operands of the call, which makes these procedures fexprs. By the late 1990s, fexprs had become associated primarily with computational reflection.
[Wand, "The Theory of Fexprs is Trivial", p. 189.]
Some theoretical results on fexprs have been obtained. In 1993, John C. Mitchell used Lisp with fexprs as an example of a programming language whose source expressions cannot be formally abstract (because the concrete syntax of a source expression can always be extracted by a context in which it is an operand to a fexpr).
[Mitchell, "On Abstraction and the Expressive Power of Programming Languages", section 7.] In 1998,
Mitchell Wand
Mitchell Wand is a computer science professor at Northeastern University. He received his Ph.D. from Massachusetts Institute of Technology
The Massachusetts Institute of Technology (MIT) is a Private university, private research universit ...
showed that adding a fexpr device to
lambda calculus
In mathematical logic, the lambda calculus (also written as ''λ''-calculus) is a formal system for expressing computability, computation based on function Abstraction (computer science), abstraction and function application, application using var ...
— a device that suppresses rewriting of operands — produces a
formal system
A formal system is an abstract structure and formalization of an axiomatic system used for deducing, using rules of inference, theorems from axioms.
In 1921, David Hilbert proposed to use formal systems as the foundation of knowledge in ma ...
with a trivial equational
theory
A theory is a systematic and rational form of abstract thinking about a phenomenon, or the conclusions derived from such thinking. It involves contemplative and logical reasoning, often supported by processes such as observation, experimentation, ...
, rendering it impossible to make source-to-source optimizations without a
whole-program analysis.
In 2007, John N. Shutt proposed an extension of lambda calculus that would model fexprs without suppressing rewriting of operands, avoiding Wand's result.
[Shutt, "vau-calculi and the theory of fexprs".]
See also
*
ISWIM
ISWIM (If You See What I Mean) is an abstract computer programming language (or a family of languages) devised by Peter Landin and first described in his article "The Next 700 Programming Languages", published in the ''Communications of the ACM ...
*
DWIM
The following languages implement fexprs or near equivalents:
* the
ECL programming language provides parameter type ("bind-class")
UNEVAL
, which specifies that a
syntax tree Syntax tree may refer to:
* Abstract syntax tree, used in computer science
* Concrete syntax tree, used in linguistics
{{Disambig ...
for the argument expression is to be bound to the parameter.
*
io, methods (blocks) can use introspection, using
call
to refer to the entire call and manipulate that. Se
call and self slots in io
*
Kernel
Kernel may refer to:
Computing
* Kernel (operating system), the central component of most operating systems
* Kernel (image processing), a matrix used for image convolution
* Compute kernel, in GPGPU programming
* Kernel method, in machine learnin ...
uses
$vau
to create fexprs, similar to how
lambda
creates functions in
Scheme.
*
newLISP
newLISP is a scripting language, a dialect of the Lisp family of programming languages. It was designed and developed by Lutz Mueller. Because of its small resource requirements, newLISP is excellent for embedded systems applications. Most of th ...
uses
define-macro
to define fexprs. Se
section "Fexpr macros and rewrite macros"
* In
PicoLisp,
(de foo X ...)
defines an fexpr
foo
that when called binds
X
to the list of unevaluated argument expressions. Se
Evaluation in PicoLisp
*
R parameters are generally bound to
promises (resulting in
lazy evaluation
In programming language theory, lazy evaluation, or call-by-need, is an evaluation strategy which delays the evaluation of an Expression (computer science), expression until its value is needed (non-strict evaluation) and which avoids repeated eva ...
), and calling
substitute(param)
on a parameter yields the argument expression, se
Substitutions in R
* In
REBOL, argument expressions not to be evaluated need to be wrapped in a block (square brackets) by the caller. In other words, you can not define a callee that prevents argument evaluation. Se
this articlewith examples. In this sense, REBOL does not have fexprs, it just makes it easy to emulate some of their uses. In a language with true fexprs, fexpr calls look like normal function calls. In REBOL on the other hand, calls where the arguments are not evaluated always look different from normal function calls.
Footnotes
References
* Accessed May 11, 2010.
* John C. Mitchell
''Science of Computer Programming'' 212 (1993), pp. 141–163. (Special issue of papers from Symp. Theor. Aspects of Computer Software, Sendai, Japan, 1991.) Accessed January 24, 2008.
* Kent M. Pitman
Proceedings of the 1980 ACM Conference on Lisp and Functional Programming, 1980, pp. 179–187. Accessed January 25, 2008.
* Kent M. Pitman, ''The Revised MacLisp Manual'' (Saturday evening edition), MIT Laboratory for Computer Science Technical Report 295, May 21, 1983.
* John N. Shutt, "vau-calculi and the theory of fexprs", talk
New England Programming Languages and Systems Symposium Series (NEPLS) October 18, 2007
accessed January 27, 2008.
* Guy L. Steele and Richard P. Gabriel, "The Evolution of Lisp", ''ACM SIGPLAN Notices'' 28 no. 3 (March 1993), pp. 231–270.
* Mitchell Wand
''LISP and Symbolic Computation'' 10 no. 3 (May 1998), pp. 189–199. Accessed January 25, 2008.
{{refend
Lisp (programming language)
Programming constructs