Clean (programming language) explained

Clean
Paradigm:functional
Designer:Software Technology Research Group of Radboud University Nijmegen
Latest Release Version:3.1
Typing:strong, static, dynamic
Operating System:Cross-platform
License:Simplified BSD[1]
Influenced By:Lean, Miranda, Haskell
Influenced:Haskell, Idris[2]
File Ext:.icl, .dcl, .abc

Clean is a general-purpose purely functional programming language. Originally called the Concurrent Clean System[3] or the Clean System,[4] [5] it has been developed by a group of researchers from the Radboud University in Nijmegen since 1987.[6] [7] Although development of the language has slowed, some researchers are still working in the language.[8] In 2018, a spin-off company was founded that uses Clean.[9]

Features

Clean shares many properties and syntax with a younger sibling language, Haskell: referential transparency, list comprehension, guards, garbage collection, higher order functions, currying, and lazy evaluation. However, Clean deals with mutable state and input/output (I/O) through a uniqueness type system, in contrast to Haskell's use of monads. The compiler takes advantage of the uniqueness type system to generate more efficient code, because it knows that at any point during the execution of the program, only one reference can exist to a value with a unique type. Therefore, a unique value can be changed in place.[10]

An integrated development environment (IDE) for Microsoft Windows is included in the Clean distribution.

Examples

Hello world

Start = "Hello, world!"Factorial

fac :: Int -> Intfac 0 = 1fac n = n * fac (n-1)

Start = fac 10

fac :: Int -> Intfac n = prod [1..n] // The product of the numbers 1 to n

Start = fac 10

Fibonacci sequence
fib :: Int -> Intfib 0 = 1fib 1 = 1fib n = fib (n - 2) + fib (n - 1)

Start = fib 7

fibs :: Int Int -> [Int]fibs x_2 x_1 = [x_2:fibs x_1 (x_2 + x_1)]

fib :: Int -> Intfib n = (fibs 1 1) !

n

Start = fib 7

Infix operator:(^) infixr 8 :: Int Int -> Int(^) x 0 = 1(^) x n = x * x ^ (n-1)The type declaration states that the function is a right associative infix operator with priority 8: this states that x*x^(n-1) is equivalent to x*(x^(n-1)) as opposed to (x*x)^(n-1). This operator is pre-defined in StdEnv, the Clean standard library.

How Clean works

Computing is based on graph rewriting and reduction. Constants such as numbers are graphs and functions are graph rewriting formulas. This, combined with compiling to native code, makes Clean programs which use high abstraction run relatively fast according to The Computer Language Benchmarks Game.[11] A 2008 benchmark showed that Clean native code performs similarly to the Glasgow Haskell Compiler (GHC), depending on the benchmark.[12]

Compiling

Compilation of Clean to machine code is performed as follows:

  1. Source files (.icl) and definition files (.dcl) are translated into Core Clean, a basic variant of Clean, by the compiler frontend written in Clean.
  2. Core clean is converted into Clean's platform-independent intermediate language (.abc), by the compiler backend written in Clean and C.
  3. Intermediate ABC code is converted to object code (.o) by the code generator written in C.
  4. Object code is linked with other files in the module and the runtime system and converted into a normal executable using the system linker (when available) or a dedicated linker written in Clean on Windows.

Earlier versions of the Clean compiler were written completely in C, thus avoiding bootstrapping issues.

The ABC machine

The ABC code mentioned above is an intermediate representation for an abstract machine. Because machine code generation for ABC code is relatively straightforward, it is easy to support new architectures. The ABC machine is an imperative abstract graph rewriting machine.[13] It consists of a graph store to hold the Clean graph that is being rewritten and three stacks:

The runtime system, which is linked into every executable, builds a Start node in the graph store and pushes it on the A-stack. It then begins printing it, evaluating it as needed.

Running Clean in the browser

Although Clean is typically used to generate native executables, several projects have enabled applications in web browsers.The now abandoned SAPL project compiled Core Clean to JavaScript and did not use ABC code. Since 2019, an interpreter for ABC code, written in WebAssembly, is used instead.[14] [15]

Platforms

Clean is available for Microsoft Windows (IA-32 and X86-64), macOS (X86-64), and Linux (IA-32, X86-64, and AArch64).

Some libraries are not available on all platforms, like ObjectIO which is only available on Windows. Also the feature to write dynamics to files is only available on Windows.

The availability of Clean per platform varies with each version:[16] [17]

VersionDateLinuxmacOSOracle SolarisWindowsMiscellaneous
IA-32x86-64AArch64Motorola 68040PowerPCx86-64SPARCIA-32x86-64
3.1
3.0
2.4
2.3
2.2
2.1.1
2.1.0
2.0.2
2.0.1
2.0
1.3.3
1.3.2
1.3.1
1.3
1.2.4
1.2.3
1.2
1.1.3 OS/2 (i80386)
1.1.2 SunOS 4 (SPARC)
1.1
1.0.2 OS/2 (i80386); SunOS 4 (SPARC)
1.0 OS/2 (i80386)
0.8.4 Experimental T800 transputer release
0.8.3
0.8.1
0.8 OS/2 (i80386); SunOS 3–4 (SPARC)
0.7 SunOS 3–4 (SPARC)

Comparison to Haskell

The syntax of Clean is very similar to that of Haskell, with some notable differences. In general, Haskell has introduced more syntactic sugar than Clean:

HaskellCleanRemarks
[x | x <- [1..10], isOdd x][x \\ x <- [1..10] | isOdd x]list comprehension
x:xs[x:xs]cons operator
data Tree a = Empty Node (Tree a) a (Tree a)

Tree a = Empty

Node (Tree a) a (Tree a)algebraic data type
(Eq a, Eq b) => ...... Eq a & Eq bclass assertions and contexts
fun t@(Node l x r) = ...fun t=:(Node l x r) = ...as-patterns
if x > 10 then 10 else xif (x > 10) 10 xif

External links

public registry with Clean packages

a search engine to search in Clean packages

Notes and References

  1. Web site: Download Clean . Clean . 23 July 2019.
  2. Web site: Idris - Uniqueness Types. 2018-11-20.
  3. Web site: Clean 0.7: Readme . https://web.archive.org/web/20190524121044/https://ftp.cs.ru.nl/Clean/old/Clean07/Sun4/README . 2019-05-24.
  4. Web site: Clean 1.0: Readme . https://web.archive.org/web/20190505113256/https://ftp.cs.ru.nl/Clean/old/Clean10/README . 2019-05-05.
  5. Web site: Clean 1.3: Readme . https://web.archive.org/web/20190427194714/https://ftp.cs.ru.nl/Clean/Clean13/README . 2019-04-27.
  6. Web site: Radboud University Nijmegen: Department of Software Science: Software.
  7. Web site: FAQ . 2021-11-26 . Clean.
  8. Web site: Publications . 2021-11-26 . Clean.
  9. Web site: Home . TOP Software Technology . 26 November 2021.
  10. ftp://ftp.cs.ru.nl/pub/Clean/papers/2007/achp2007-CleanHaskellQuickGuide.pdf
  11. Web site: Which programming languages are fastest? . Computer Language Benchmarks Game . bot: unknown . https://web.archive.org/web/20110628185627/http://shootout.alioth.debian.org/u32/which-programming-languages-are-fastest.php . 28 June 2011.
  12. Jansen . Jan Martin . Koopman . Pieter . Plasmeijer . Rinus . 2008 . [ftp://ftp.cs.ru.nl/pub/Clean/papers/2008/janj08-CEFP07-InterpretationToCompilation.pdf From Interpretation to Compilation ]. 2016-05-21.
  13. PhD. Koopman. Pieter. Functional Programs as Executable Specifications. 10 December 1990. Katholieke Universiteit Nijmegen. 90-9003689-X. 35.
  14. Web site: Clean and iTasks / ABC Interpreter · GitLab . Clean and iTasks on GitLab . 13 April 2023 . en.
  15. Book: Staps . Camil . van Groningen . John . Plasmeijer . Rinus . Proceedings of the 31st Symposium on Implementation and Application of Functional Languages . Lazy interworking of compiled and interpreted code for sandboxing and distributed systems . 15 July 2021 . 1–12 . 10.1145/3412932.3412941. 9781450375627 . 202751977 .
  16. Web site: Release history . Clean . 7 January 2022.
  17. Web site: Index of /Clean . 7 January 2022.