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Read–eval–print loop

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A read–eval–print loop (REPL), also termed an interactive toplevel or language shell, is a simple interactive computer programming environment that takes single user inputs, executes them, and returns the result to the user; a program written in a REPL environment is executed piecewise.[1] The term usually refers to programming interfaces similar to the classic Lisp machine interactive environment. Common examples include command-line shells and similar environments for programming languages, and the technique is very characteristic of scripting languages.[2]

History

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In 1964, the expression READ-EVAL-PRINT cycle is used by L. Peter Deutsch and Edmund Berkeley for an implementation of Lisp on the PDP-1.[3] Just one month later, Project Mac published a report by Joseph Weizenbaum (the creator of ELIZA, the world's first chatbot) describing a REPL-based language, called OPL-1, implemented in his Fortran-SLIP language on the Compatible Time Sharing System (CTSS).[4] [5] [6]

The 1974 Maclisp reference manual by David A. Moon attests "Read-eval-print loop" on page 89, but does not use the acronym REPL.[7]

Since at least the 1980s, the abbreviations REP Loop and REPL are attested in the context of Scheme.[8][9]

Overview

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In a REPL, the user enters one or more expressions (rather than an entire compilation unit) and the REPL evaluates them and displays the results.[1] The name read–eval–print loop comes from the names of the Lisp primitive functions which implement this functionality:

  • The read function accepts an expression from the user, and parses it into a data structure in memory. For instance, the user may enter the s-expression (+ 1 2 3), which is parsed into a linked list containing four data elements.
  • The eval function takes this internal data structure and evaluates it. In Lisp, evaluating an s-expression beginning with the name of a function means calling that function on the arguments that make up the rest of the expression. So the function + is called on the arguments 1 2 3, yielding the result 6.
  • The print function takes the result yielded by eval, and prints it out to the user. If it is a complex expression, it may be pretty-printed to make it easier to understand.

The development environment then returns to the read state, creating a loop, which terminates when the program is closed.

REPLs facilitate exploratory programming and debugging because the programmer can inspect the printed result before deciding what expression to provide for the next read. The read–eval–print loop involves the programmer more frequently than the classic edit–compile–run–debug cycle.

Because the print function outputs in the same textual format that the read function uses for input, most results are printed in a form that could be copied and pasted back into the REPL. However, it is sometimes necessary to print representations of elements that cannot sensibly be read back in, such as a socket handle or a complex class instance. In these cases, there must exist a syntax for unreadable objects. In Python, it is the <__module__.class instance> notation, and in Common Lisp, the #<whatever> form. The REPL of CLIM, SLIME, and the Symbolics Lisp Machine can also read back unreadable objects. They record for each output which object was printed. Later when the code is read back, the object will be retrieved from the printed output.

REPLs can be created to support any text-based language. REPL support for compiled languages is usually achieved by implementing an interpreter on top of a virtual machine which provides an interface to the compiler. For example, starting with JDK 9, Java included JShell as a command-line interface to the language. Various other languages have third-party tools available for download that provide similar shell interaction with the language.

Uses

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As a shell, a REPL environment allows users to access relevant features of an operating system in addition to providing access to programming capabilities. The most common use for REPLs outside of operating system shells is for interactive prototyping.[10] Other uses include mathematical calculation, creating documents that integrate scientific analysis (e.g. IPython), interactive software maintenance, benchmarking, and algorithm exploration.

Lisp specifics

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Implementation

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A minimal definition is:

(define (REPL env)
  (print (eval env (read)))
  (REPL env) )

where env represents initial eval-uation environment. It is also assumed that env can be destructively updated by eval.

Functionality

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Typical functionality provided by a Lisp REPL includes:

  • History of inputs and outputs.
  • Variables are set for the input expressions and results. These variables are also available in the REPL. For example in Common Lisp * refers to the last result, ** and *** to the results before that.
  • Levels of REPLs. In many Lisp systems if an error occurs during the reading, evaluation or printing of an expression, the system is not thrown back to the top level with an error message. Instead a new REPL, one level deeper, is started in the error context. The user can then inspect the problem, fix it and continue – if possible. If an error occurs in such a debug REPL, another REPL, again a level deeper, is started. Often the REPL offers special debug commands.
  • Error handling. The REPL provides restarts. These restarts can be used, when an error occurs, to go back to a certain REPL level.
  • Mouse sensitive input and output of data objects.
  • Input editing and context specific completion over symbols, pathnames, class names and other objects.
  • Help and documentation for commands.
  • Variables to control the reader. For example, the variable *read-base* controls in which base numbers are read by default.
  • Variables to control the printer. Example: maximum length or maximum depth of expressions to print.
  • Additional command syntax. Some REPLs have commands that follow not the s-expression syntax, but often work with Lisp data as arguments.
  • Graphical REPLs. Some Lisp REPLs (the CLIM Listener is an example) accept also graphical input and output.

See also

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References

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  1. ^ a b Grillmeyer, O. (2013). Exploring Computer Science with Scheme. Undergraduate Texts in Computer Science. Springer New York. p. 239. ISBN 978-1-4757-2937-5. Retrieved 2021-06-26. The central component to the Scheme interpreter is the read-eval-print loop. Commands are read in, then evaluated. Finally, the evaluated result is printed.
  2. ^ Hey, Tony; Pápay, Gyuri (2014). The Computing Universe: A Journey through a Revolution. Cambridge University Press. p. 76. ISBN 978-1-316-12322-5, "A major characteristic of modern scripting languages is their interactivity, sometimes referred to as a REPL programming environment. ... The characteristics of ease of use and immediate execution with a REPL environment are sometimes taken as the definition of a scripting language."{{cite book}}: CS1 maint: postscript (link)
  3. ^ L. Peter Deutsch; Edmund Berkeley, The LISP Implementation for the PDP-1 Computer (PDF), p. 15
  4. ^ Joseph Weizenbaum, OPL-I: AN OPEN ENDED PROGRAMMING SYSTEM WITHIN CTSS
  5. ^ Both of these projects were likely carried out in 1963, well before the respective publications appeared. However, it is impossible to place the dates of invention exactly.
  6. ^ There is a complex and interesting relationship between Lisp and SLIP, both being eponymous "list processing languages" invented by MIT-related academics: ELIZA Reinterpreted: The world's first chatbot was not intended as a chatbot at all
  7. ^ David A. Moon (April 8, 1974), MACLISP Reference Manual (PDF), p. 89
  8. ^ Smith, Jerry D. (1988). An introduction to Scheme. Englewood Cliffs, N.J. : Prentice Hall. p. 8. ISBN 978-0-13-496712-7.
  9. ^ Hanson, Chris (1986). "rep.scm -- Initial 1986 revision of MIT-Scheme". GitHub. Retrieved 11 June 2023.
  10. ^ van Binsbergen, L. Thomas; Verano Merino, Mauricio; Jeanjean, Pierre; van der Storm, Tijs; Combemale, Benoit; Barais, Olivier (2020-11-17). "A principled approach to REPL interpreters". Proceedings of the 2020 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software. New York, NY, USA: ACM. pp. 84–100. doi:10.1145/3426428.3426917. ISBN 978-1-4503-8178-9.
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