Paradigm | procedural, imperative, structured |
---|---|
Designed by | Vaughan Pratt |
First appeared | 1973 |
Influenced by | |
ALGOL, FORTRAN, MLisp |
CGOL [1] [2] (pronounced "see goll") is an alternative syntax featuring an extensible algebraic notation for the Lisp programming language. It was designed for MACLISP by Vaughan Pratt and subsequently ported to Common Lisp. [3]
The notation of CGOL is a traditional infix notation, in the style of ALGOL, rather than Lisp's traditional, uniformly-parenthesized prefix notation syntax. The CGOL parser is based on Pratt's design for top-down operator precedence parsing, [4] [5] sometimes informally referred to as a "Pratt parser".
Semantically, CGOL is essentially just Common Lisp, with some additional reader and printer support.
CGOL may be regarded as a more successful incarnation of some of the essential ideas behind the earlier LISP 2 project. Lisp 2 was a successor to LISP 1.5 that aimed to provide ALGOL syntax. LISP 2 was abandoned, whereas it is possible to use the CGOL codebase today. This is because unlike LISP 2, CGOL is implemented as portable functions and macros written in Lisp, requiring no alterations to the host Lisp implementation.
Special notations are available for many commonly used Common Lisp operations. For example, one can write a matrix multiply routine as:
<nowiki/>foriin1tondoforkin1tondo(ac:=0;forjin1tondoac:=ac+a(i,j)*b(j,k);c(i,k):=ac)
CGOL has an infix .
operation (referring to Common Lisp's cons
function) and the infix @
operation (referring to Common Lisp's append
function):
a.(b@c) = (a.b)@c
The preceding example corresponds to this text in native Common Lisp:
(EQUAL(CONSA(APPENDBC))(APPEND(CONSAB)C))
CGOL uses of
to read and set properties:
'father'ofx:='brother'ofrelativeofy
The preceding example corresponds to this text in native Common Lisp:
(PUTPROPX(GET(GETYRELATIVE)'BROTHER)'FATHER)
This illustrates how CGOL notates a function of two arguments:
\x,y; 1/sqrt(x**2 + y**2)
The preceding example corresponds to this text in native Common Lisp:
(LAMBDA(XY)(QUOTIENT1(SQRT(PLUS(EXPTX2)(EXPTY2)))))
The syntax of CGOL is data-driven and so both modifiable and extensible.
CGOL is known to work on Armed Bear Common Lisp. [6]
The CGOL source code and some text files containing discussions of it are available as freeware from Carnegie-Mellon University's Artificial Intelligence Repository. [3]
Dylan is a multi-paradigm programming language that includes support for functional and object-oriented programming (OOP), and is dynamic and reflective while providing a programming model designed to support generating efficient machine code, including fine-grained control over dynamic and static behaviors. It was created in the early 1990s by a group led by Apple Computer.
Lisp is a family of programming languages with a long history and a distinctive, fully parenthesized prefix notation. Originally specified in the late 1950s, it is the second-oldest high-level programming language still in common use, after Fortran. Lisp has changed since its early days, and many dialects have existed over its history. Today, the best-known general-purpose Lisp dialects are Common Lisp, Scheme, Racket, and Clojure.
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Although it can be used for programming, writing functions, and performing processes, its greatest strength is the ability to easily create domain-specific languages or dialects
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In computer science, syntactic sugar is syntax within a programming language that is designed to make things easier to read or to express. It makes the language "sweeter" for human use: things can be expressed more clearly, more concisely, or in an alternative style that some may prefer. Syntactic sugar is usually a shorthand for a common operation that could also be expressed in an alternate, more verbose, form: The programmer has a choice of whether to use the shorter form or the longer form, but will usually use the shorter form since it is shorter and easier to type and read.
In computer programming, an S-expression is an expression in a like-named notation for nested list (tree-structured) data. S-expressions were invented for and popularized by the programming language Lisp, which uses them for source code as well as data.
In computer programming, the scope of a name binding is the part of a program where the name binding is valid; that is, where the name can be used to refer to the entity. In other parts of the program, the name may refer to a different entity, or to nothing at all. Scope helps prevent name collisions by allowing the same name to refer to different objects – as long as the names have separate scopes. The scope of a name binding is also known as the visibility of an entity, particularly in older or more technical literature—this is in relation to the referenced entity, not the referencing name.
In computer science, Backus–Naur form is a notation used to describe the syntax of programming languages or other formal languages. It was developed by John Backus and Peter Naur. BNF can be described as a metasyntax notation for context-free grammars. Backus–Naur form is applied wherever exact descriptions of languages are needed, such as in official language specifications, in manuals, and in textbooks on programming language theory. BNF can be used to describe document formats, instruction sets, and communication protocols.
In computer science, a compiler-compiler or compiler generator is a programming tool that creates a parser, interpreter, or compiler from some form of formal description of a programming language and machine.
In computer programming, M-expressions were an early proposed syntax for the Lisp programming language, inspired by contemporary languages such as Fortran and ALGOL. The notation was never implemented into the language and, as such, it was never finalized.
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In computer programming, operators are constructs defined within programming languages which behave generally like functions, but which differ syntactically or semantically.
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In computer science, a relational operator is a programming language construct or operator that tests or defines some kind of relation between two entities. These include numerical equality and inequalities.
In computer science, an operator precedence parser is a bottom-up parser that interprets an operator-precedence grammar. For example, most calculators use operator precedence parsers to convert from the human-readable infix notation relying on order of operations to a format that is optimized for evaluation such as Reverse Polish notation (RPN).
Vaughan Pratt is a Professor Emeritus at Stanford University, who was an early pioneer in the field of computer science. Since 1969, Pratt has made several contributions to foundational areas such as search algorithms, sorting algorithms, and primality testing. More recently, his research has focused on formal modeling of concurrent systems and Chu spaces.
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The history of the programming language Scheme begins with the development of earlier members of the Lisp family of languages during the second half of the twentieth century. During the design and development period of Scheme, language designers Guy L. Steele and Gerald Jay Sussman released an influential series of Massachusetts Institute of Technology (MIT) AI Memos known as the Lambda Papers (1975–1980). This resulted in the growth of popularity in the language and the era of standardization from 1990 onward. Much of the history of Scheme has been documented by the developers themselves.
In the programming language Lisp, the reader or read
function is the parser which converts the textual form of Lisp objects to the corresponding internal object structure.
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