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This Info file contains edition 2.8 of the GNU Emacs Lisp Reference Manual, corresponding to GNU Emacs version 21.2.
1. Introduction Introduction and conventions used. D.1 Emacs Lisp Coding Conventions Coding conventions for Emacs Lisp.
2. Lisp Data Types Data types of objects in Emacs Lisp. 3. Numbers Numbers and arithmetic functions. 4. Strings and Characters Strings, and functions that work on them. 5. Lists Lists, cons cells, and related functions. 6. Sequences, Arrays, and Vectors Lists, strings and vectors are called sequences. Certain functions act on any kind of sequence. The description of vectors is here as well. 7. Hash Tables Very fast lookup-tables. 8. Symbols Symbols represent names, uniquely.
9. Evaluation How Lisp expressions are evaluated. 10. Control Structures Conditionals, loops, nonlocal exits. 11. Variables Using symbols in programs to stand for values. 12. Functions A function is a Lisp program that can be invoked from other functions. 13. Macros Macros are a way to extend the Lisp language. 14. Writing Customization Definitions Writing customization declarations.
15. Loading Reading files of Lisp code into Lisp. 16. Byte Compilation Compilation makes programs run faster. 17. Advising Emacs Lisp Functions Adding to the definition of a function. 18. Debugging Lisp Programs Tools and tips for debugging Lisp programs.
19. Reading and Printing Lisp Objects Converting Lisp objects to text and back. 20. Minibuffers Using the minibuffer to read input. 21. Command Loop How the editor command loop works, and how you can call its subroutines. 22. Keymaps Defining the bindings from keys to commands. 23. Major and Minor Modes Defining major and minor modes. 24. Documentation Writing and using documentation strings.
25. Files Accessing files. 26. Backups and Auto-Saving Controlling how backups and auto-save files are made. 27. Buffers Creating and using buffer objects. 28. Windows Manipulating windows and displaying buffers. 29. Frames Making multiple X windows. 30. Positions Buffer positions and motion functions. 31. Markers Markers represent positions and update automatically when the text is changed.
32. Text Examining and changing text in buffers. 33. Non-ASCII Characters Non-ASCII text in buffers and strings. 34. Searching and Matching Searching buffers for strings or regexps. 35. Syntax Tables The syntax table controls word and list parsing. 36. Abbrevs and Abbrev Expansion How Abbrev mode works, and its data structures.
37. Processes Running and communicating with subprocesses. 38. Emacs Display Features for controlling the screen display. 39. Customizing the Calendar and Diary Customizing the calendar and diary. 40. Operating System Interface Getting the user id, system type, environment variables, and other such things.
Appendices
A. Emacs 20 Antinews Info for users downgrading to Emacs 20. B. GNU Free Documentation License The license for this documentation C. GNU General Public License Conditions for copying and changing GNU Emacs. D. Tips and Conventions Advice and coding conventions for Emacs Lisp. E. GNU Emacs Internals Building and dumping Emacs; internal data structures. F. Standard Errors List of all error symbols. G. Buffer-Local Variables List of variables buffer-local in all buffers. H. Standard Keymaps List of standard keymaps. I. Standard Hooks List of standard hook variables.
Index Index including concepts, functions, variables, and other terms.
New Symbols Since the Previous Edition New functions and variables in Emacs 21.
-- The Detailed Node Listing ---
Here are other nodes that are inferiors of those already listed,
mentioned here so you can get to them in one step:
Introduction
1.1 Caveats Flaws and a request for help. 1.2 Lisp History Emacs Lisp is descended from Maclisp. 1.3 Conventions How the manual is formatted. 1.5 Acknowledgements The authors, editors, and sponsors of this manual.
Conventions
1.3.1 Some Terms Explanation of terms we use in this manual. 1.3.2 nilandtHow the symbols nilandtare used.1.3.3 Evaluation Notation The format we use for examples of evaluation. 1.3.4 Printing Notation The format we use for examples that print output. 1.3.5 Error Messages The format we use for examples of errors. 1.3.6 Buffer Text Notation The format we use for buffer contents in examples. 1.3.7 Format of Descriptions Notation for describing functions, variables, etc.
Tips and Conventions
D.1 Emacs Lisp Coding Conventions Conventions for clean and robust programs. D.2 Tips for Making Compiled Code Fast Making compiled code run fast. D.3 Tips for Documentation Strings Writing readable documentation strings. D.4 Tips on Writing Comments Conventions for writing comments. D.5 Conventional Headers for Emacs Libraries Standard headers for library packages.
Format of Descriptions
1.3.7.1 A Sample Function Description 1.3.7.2 A Sample Variable Description
Lisp Data Types
2.1 Printed Representation and Read Syntax How Lisp objects are represented as text. 2.2 Comments Comments and their formatting conventions. 2.3 Programming Types Types found in all Lisp systems. 2.4 Editing Types Types specific to Emacs. 2.6 Type Predicates Tests related to types. 2.7 Equality Predicates Tests of equality between any two objects.
Programming Types
2.3.1 Integer Type Numbers without fractional parts. 2.3.2 Floating Point Type Numbers with fractional parts and with a large range. 2.3.3 Character Type The representation of letters, numbers and control characters. 2.3.5 Sequence Types Both lists and arrays are classified as sequences. 2.3.6 Cons Cell and List Types Cons cells, and lists (which are made from cons cells). 2.3.7 Array Type Arrays include strings and vectors. 2.3.8 String Type An (efficient) array of characters. 2.3.9 Vector Type One-dimensional arrays. 2.3.4 Symbol Type A multi-use object that refers to a function, variable, property list, or itself. 2.3.13 Function Type A piece of executable code you can call from elsewhere. 2.3.14 Macro Type A method of expanding an expression into another expression, more fundamental but less pretty. 2.3.15 Primitive Function Type A function written in C, callable from Lisp. 2.3.16 Byte-Code Function Type A function written in Lisp, then compiled. 2.3.17 Autoload Type A type used for automatically loading seldom-used functions.
List Type
2.3.6.1 Dotted Pair Notation An alternative syntax for lists. 2.3.6.2 Association List Type A specially constructed list.
Editing Types
2.4.1 Buffer Type The basic object of editing. 2.4.3 Window Type What makes buffers visible. 2.4.5 Window Configuration Type Save what the screen looks like. 2.4.2 Marker Type A position in a buffer. 2.4.7 Process Type A process running on the underlying OS. 2.4.8 Stream Type Receive or send characters. 2.4.9 Keymap Type What function a keystroke invokes. 2.4.10 Overlay Type How an overlay is represented.
Numbers
3.1 Integer Basics Representation and range of integers. 3.2 Floating Point Basics Representation and range of floating point. 3.3 Type Predicates for Numbers Testing for numbers. 3.4 Comparison of Numbers Equality and inequality predicates. 3.6 Arithmetic Operations How to add, subtract, multiply and divide. 3.8 Bitwise Operations on Integers Logical and, or, not, shifting. 3.5 Numeric Conversions Converting float to integer and vice versa. 3.9 Standard Mathematical Functions Trig, exponential and logarithmic functions. 3.10 Random Numbers Obtaining random integers, predictable or not.
Strings and Characters
4.1 String and Character Basics Basic properties of strings and characters. 4.2 The Predicates for Strings Testing whether an object is a string or char. 4.3 Creating Strings Functions to allocate new strings. 4.5 Comparison of Characters and Strings Comparing characters or strings. 4.6 Conversion of Characters and Strings Converting characters or strings and vice versa. 4.7 Formatting Strings format: Emacs's analogue ofprintf.4.8 Case Conversion in Lisp Case conversion functions.
Lists
5.1 Lists and Cons Cells How lists are made out of cons cells. 5.2 Lists as Linked Pairs of Boxes Graphical notation to explain lists. 5.3 Predicates on Lists Is this object a list? Comparing two lists. 5.4 Accessing Elements of Lists Extracting the pieces of a list. 5.5 Building Cons Cells and Lists Creating list structure. 5.6 Modifying Existing List Structure Storing new pieces into an existing list. 5.7 Using Lists as Sets A list can represent a finite mathematical set. 5.8 Association Lists A list can represent a finite relation or mapping.
Modifying Existing List Structure
5.6.1 Altering List Elements with setcarReplacing an element in a list. 5.6.2 Altering the CDR of a List Replacing part of the list backbone. This can be used to remove or add elements. 5.6.3 Functions that Rearrange Lists Reordering the elements in a list; combining lists.
Sequences, Arrays, and Vectors
6.1 Sequences Functions that accept any kind of sequence. 6.2 Arrays Characteristics of arrays in Emacs Lisp. 6.3 Functions that Operate on Arrays Functions specifically for arrays. 6.4 Vectors Functions specifically for vectors.
Symbols
8.1 Symbol Components Symbols have names, values, function definitions and property lists. 8.2 Defining Symbols A definition says how a symbol will be used. 8.3 Creating and Interning Symbols How symbols are kept unique. 8.4 Property Lists Each symbol has a property list for recording miscellaneous information.
Evaluation
9.1 Introduction to Evaluation Evaluation in the scheme of things. 9.4 Eval How to invoke the Lisp interpreter explicitly. 9.2 Kinds of Forms How various sorts of objects are evaluated. 9.3 Quoting Avoiding evaluation (to put constants in the program).
Kinds of Forms
9.2.1 Self-Evaluating Forms Forms that evaluate to themselves. 9.2.2 Symbol Forms Symbols evaluate as variables. 9.2.3 Classification of List Forms How to distinguish various sorts of list forms. 9.2.5 Evaluation of Function Forms Forms that call functions. 9.2.6 Lisp Macro Evaluation Forms that call macros. 9.2.7 Special Forms "Special forms" are idiosyncratic primitives, most of them extremely important. 9.2.8 Autoloading Functions set up to load files containing their real definitions.
Control Structures
10.1 Sequencing Evaluation in textual order. 10.2 Conditionals if,cond.10.3 Constructs for Combining Conditions and,or,not.10.4 Iteration whileloops.10.5 Nonlocal Exits Jumping out of a sequence.
Nonlocal Exits
10.5.1 Explicit Nonlocal Exits: catchandthrowNonlocal exits for the program's own purposes. 10.5.2 Examples of catchandthrowShowing how such nonlocal exits can be written. 10.5.3 Errors How errors are signaled and handled. 10.5.4 Cleaning Up from Nonlocal Exits Arranging to run a cleanup form if an error happens.
Errors
10.5.3.1 How to Signal an Error How to report an error. 10.5.3.2 How Emacs Processes Errors What Emacs does when you report an error. 10.5.3.3 Writing Code to Handle Errors How you can trap errors and continue execution. 10.5.3.4 Error Symbols and Condition Names How errors are classified for trapping them.
Variables
11.1 Global Variables Variable values that exist permanently, everywhere. 11.2 Variables that Never Change Certain "variables" have values that never change. 11.3 Local Variables Variable values that exist only temporarily. 11.4 When a Variable is "Void" Symbols that lack values. 11.5 Defining Global Variables A definition says a symbol is used as a variable. 11.7 Accessing Variable Values Examining values of variables whose names are known only at run time. 11.8 How to Alter a Variable Value Storing new values in variables. 11.9 Scoping Rules for Variable Bindings How Lisp chooses among local and global values. 11.10 Buffer-Local Variables Variable values in effect only in one buffer.
Scoping Rules for Variable Bindings
11.9.1 Scope Scope means where in the program a value is visible. Comparison with other languages. 11.9.2 Extent Extent means how long in time a value exists. 11.9.3 Implementation of Dynamic Scoping Two ways to implement dynamic scoping. 11.9.4 Proper Use of Dynamic Scoping How to use dynamic scoping carefully and avoid problems.
Buffer-Local Variables
11.10.1 Introduction to Buffer-Local Variables Introduction and concepts. 11.10.2 Creating and Deleting Buffer-Local Bindings Creating and destroying buffer-local bindings. 11.10.3 The Default Value of a Buffer-Local Variable The default value is seen in buffers that don't have their own buffer-local values.
Functions
12.1 What Is a Function? Lisp functions vs primitives; terminology. 12.2 Lambda Expressions How functions are expressed as Lisp objects. 12.3 Naming a Function A symbol can serve as the name of a function. 12.4 Defining Functions Lisp expressions for defining functions. 12.5 Calling Functions How to use an existing function. 12.6 Mapping Functions Applying a function to each element of a list, etc. 12.7 Anonymous Functions Lambda-expressions are functions with no names. 12.8 Accessing Function Cell Contents Accessing or setting the function definition of a symbol. 12.10 Other Topics Related to Functions Cross-references to specific Lisp primitives that have a special bearing on how functions work.
Lambda Expressions
12.2.1 Components of a Lambda Expression The parts of a lambda expression. 12.2.2 A Simple Lambda-Expression Example A simple example. 12.2.3 Other Features of Argument Lists Details and special features of argument lists. 12.2.4 Documentation Strings of Functions How to put documentation in a function.
Macros
13.1 A Simple Example of a Macro A basic example. 13.2 Expansion of a Macro Call How, when and why macros are expanded. 13.3 Macros and Byte Compilation How macros are expanded by the compiler. 13.4 Defining Macros How to write a macro definition. 13.5 Backquote Easier construction of list structure. 13.6 Common Problems Using Macros Don't evaluate the macro arguments too many times. Don't hide the user's variables.
Loading
15.1 How Programs Do Loading The loadfunction and others.15.4 Autoload Setting up a function to autoload. 15.6 Features Loading a library if it isn't already loaded. 15.5 Repeated Loading Precautions about loading a file twice.
Byte Compilation
16.2 The Compilation Functions Byte compilation functions. 16.7 Disassembled Byte-Code Disassembling byte-code; how to read byte-code.
Advising Functions
17.1 A Simple Advice Example A simple example to explain the basics of advice. 17.2 Defining Advice Detailed description of defadvice.17.4 Computed Advice ...is to defadviceasfsetis todefun.17.5 Activation of Advice Advice doesn't do anything until you activate it. 17.6 Enabling and Disabling Advice You can enable or disable each piece of advice. 17.7 Preactivation Preactivation is a way of speeding up the loading of compiled advice. 17.8 Argument Access in Advice How advice can access the function's arguments. 17.9 Definition of Subr Argument Lists Accessing arguments when advising a primitive. 17.10 The Combined Definition How advice is implemented.
Debugging Lisp Programs
18.1 The Lisp Debugger How the Emacs Lisp debugger is implemented. 18.3 Debugging Invalid Lisp Syntax How to find syntax errors. 18.4 Debugging Problems in Compilation How to find errors that show up in byte compilation. 18.2 Edebug A source-level Emacs Lisp debugger.
The Lisp Debugger
18.1.1 Entering the Debugger on an Error Entering the debugger when an error happens. 18.1.3 Entering the Debugger on a Function Call Entering it when a certain function is called. 18.1.4 Explicit Entry to the Debugger Entering it at a certain point in the program. 18.1.5 Using the Debugger What the debugger does; what you see while in it. 18.1.6 Debugger Commands Commands used while in the debugger. 18.1.7 Invoking the Debugger How to call the function debug.18.1.8 Internals of the Debugger Subroutines of the debugger, and global variables.
Debugging Invalid Lisp Syntax
18.3.1 Excess Open Parentheses How to find a spurious open paren or missing close. 18.3.2 Excess Close Parentheses How to find a spurious close paren or missing open.
Reading and Printing Lisp Objects
19.1 Introduction to Reading and Printing Overview of streams, reading and printing. 19.2 Input Streams Various data types that can be used as input streams. 19.3 Input Functions Functions to read Lisp objects from text. 19.4 Output Streams Various data types that can be used as output streams. 19.5 Output Functions Functions to print Lisp objects as text.
Minibuffers
20.1 Introduction to Minibuffers Basic information about minibuffers. 20.2 Reading Text Strings with the Minibuffer How to read a straight text string. 20.3 Reading Lisp Objects with the Minibuffer How to read a Lisp object or expression. 20.5 Completion How to invoke and customize completion. 20.6 Yes-or-No Queries Asking a question with a simple answer. 20.9 Minibuffer Miscellany Various customization hooks and variables.
Completion
(These are too low level to use the minibuffer.)
20.5.1 Basic Completion Functions Low-level functions for completing strings.
(reading buffer name, file name, etc.)
20.5.2 Completion and the Minibuffer Invoking the minibuffer with completion. 20.5.3 Minibuffer Commands that Do Completion Minibuffer commands that do completion. 20.5.4 High-Level Completion Functions Convenient special cases of completion
20.5.5 Reading File Names Using completion to read file names. 20.5.6 Programmed Completion Finding the completions for a given file name.
Command Loop
21.1 Command Loop Overview How the command loop reads commands. 21.2 Defining Commands Specifying how a function should read arguments. 21.3 Interactive Call Calling a command, so that it will read arguments. 21.4 Information from the Command Loop Variables set by the command loop for you to examine. 21.6 Input Events What input looks like when you read it. 21.7 Reading Input How to read input events from the keyboard or mouse. 21.9 Waiting for Elapsed Time or Input Waiting for user input or elapsed time. 21.10 Quitting How C-g works. How to catch or defer quitting. 21.11 Prefix Command Arguments How the commands to set prefix args work. 21.12 Recursive Editing Entering a recursive edit, and why you usually shouldn't. 21.13 Disabling Commands How the command loop handles disabled commands. 21.14 Command History How the command history is set up, and how accessed. 21.15 Keyboard Macros How keyboard macros are implemented.
Defining Commands
21.2.1 Using interactiveGeneral rules for interactive.21.2.2 Code Characters for interactiveThe standard letter-codes for reading arguments in various ways. 21.2.3 Examples of Using interactiveExamples of how to read interactive arguments.
Keymaps
22.1 Keymap Terminology Definitions of terms pertaining to keymaps. 22.2 Format of Keymaps What a keymap looks like as a Lisp object. 22.3 Creating Keymaps Functions to create and copy keymaps. 22.4 Inheritance and Keymaps How one keymap can inherit the bindings of another keymap. 22.5 Prefix Keys Defining a key with a keymap as its definition. 22.12 Menu Keymaps A keymap can define a menu for X or for use from the terminal. 22.6 Active Keymaps Each buffer has a local keymap to override the standard (global) bindings. Each minor mode can also override them. 22.7 Key Lookup How extracting elements from keymaps works. 22.8 Functions for Key Lookup How to request key lookup. 22.9 Changing Key Bindings Redefining a key in a keymap. 22.10 Commands for Binding Keys Interactive interfaces for redefining keys. 22.11 Scanning Keymaps Looking through all keymaps, for printing help.
Major and Minor Modes
23.1 Major Modes Defining major modes. 23.2 Minor Modes Defining minor modes. 23.3 Mode Line Format Customizing the text that appears in the mode line. 23.6 Hooks How to use hooks; how to write code that provides hooks.
Major Modes
23.1.1 Major Mode Conventions Coding conventions for keymaps, etc. 23.1.2 Major Mode Examples Text mode and Lisp modes. 23.1.3 How Emacs Chooses a Major Mode How Emacs chooses the major mode automatically. 23.1.4 Getting Help about a Major Mode Finding out how to use a mode.
Minor Modes
23.2.1 Conventions for Writing Minor Modes Tips for writing a minor mode. 23.2.2 Keymaps and Minor Modes How a minor mode can have its own keymap.
Mode Line Format
23.3.1 The Data Structure of the Mode Line The data structure that controls the mode line. 23.3.2 Variables Used in the Mode Line Variables used in that data structure. 23.3.3 %-Constructs in the Mode LinePutting information into a mode line.
Documentation
24.1 Documentation Basics Good style for doc strings. Where to put them. How Emacs stores them. 24.2 Access to Documentation Strings How Lisp programs can access doc strings. 24.3 Substituting Key Bindings in Documentation Substituting current key bindings. 24.4 Describing Characters for Help Messages Making printable descriptions of non-printing characters and key sequences. 24.5 Help Functions Subroutines used by Emacs help facilities.
Files
25.1 Visiting Files Reading files into Emacs buffers for editing. 25.2 Saving Buffers Writing changed buffers back into files. 25.3 Reading from Files Reading files into other buffers. 25.4 Writing to Files Writing new files from parts of buffers. 25.5 File Locks Locking and unlocking files, to prevent simultaneous editing by two people. 25.6 Information about Files Testing existence, accessibility, size of files. 25.9 Contents of Directories Getting a list of the files in a directory. 25.7 Changing File Names and Attributes Renaming files, changing protection, etc. 25.8 File Names Decomposing and expanding file names.
Visiting Files
25.1.1 Functions for Visiting Files The usual interface functions for visiting. 25.1.2 Subroutines of Visiting Lower-level subroutines that they use.
Information about Files
25.6.1 Testing Accessibility Is a given file readable? Writable? 25.6.2 Distinguishing Kinds of Files Is it a directory? A link? 25.6.4 Other Information about Files How large is it? Any other names? Etc.
File Names
25.8.1 File Name Components The directory part of a file name, and the rest. 25.8.2 Directory Names A directory's name as a directory is different from its name as a file. 25.8.3 Absolute and Relative File Names Some file names are relative to a current directory. 25.8.4 Functions that Expand Filenames Converting relative file names to absolute ones. 25.8.5 Generating Unique File Names Generating names for temporary files. 25.8.6 File Name Completion Finding the completions for a given file name.
Backups and Auto-Saving
26.1 Backup Files How backup files are made; how their names are chosen. 26.2 Auto-Saving How auto-save files are made; how their names are chosen. 26.3 Reverting revert-buffer, and how to customize what it does.
Backup Files
26.1.1 Making Backup Files How Emacs makes backup files, and when. 26.1.2 Backup by Renaming or by Copying? Two alternatives: renaming the old file or copying it. 26.1.3 Making and Deleting Numbered Backup Files Keeping multiple backups for each source file. 26.1.4 Naming Backup Files How backup file names are computed; customization.
Buffers
"behind Emacs's back".
27.1 Buffer Basics What is a buffer? 27.3 Buffer Names Accessing and changing buffer names. 27.4 Buffer File Name The buffer file name indicates which file is visited. 27.5 Buffer Modification A buffer is modified if it needs to be saved. 27.6 Comparison of Modification Time Determining whether the visited file was changed
27.7 Read-Only Buffers Modifying text is not allowed in a read-only buffer. 27.8 The Buffer List How to look at all the existing buffers. 27.9 Creating Buffers Functions that create buffers. 27.10 Killing Buffers Buffers exist until explicitly killed. 27.2 The Current Buffer Designating a buffer as current so primitives will access its contents.
Windows
28.1 Basic Concepts of Emacs Windows Basic information on using windows. 28.2 Splitting Windows Splitting one window into two windows. 28.3 Deleting Windows Deleting a window gives its space to other windows. 28.4 Selecting Windows The selected window is the one that you edit in. 28.5 Cyclic Ordering of Windows Moving around the existing windows. 28.6 Buffers and Windows Each window displays the contents of a buffer. 28.7 Displaying Buffers in Windows Higher-lever functions for displaying a buffer and choosing a window for it. 28.9 Windows and Point Each window has its own location of point. 28.10 The Window Start Position The display-start position controls which text is on-screen in the window. 28.12 Vertical Fractional Scrolling Moving text up and down in the window. 28.13 Horizontal Scrolling Moving text sideways on the window. 28.14 The Size of a Window Accessing the size of a window. 28.15 Changing the Size of a Window Changing the size of a window. 28.17 Window Configurations Saving and restoring the state of the screen.
Frames
29.1 Creating Frames Creating additional frames. 29.2 Multiple Displays Creating frames on other X displays. 29.3 Frame Parameters Controlling frame size, position, font, etc. 29.4 Frame Titles Automatic updating of frame titles. 29.5 Deleting Frames Frames last until explicitly deleted. 29.6 Finding All Frames How to examine all existing frames. 29.7 Frames and Windows A frame contains windows; display of text always works through windows. 29.8 Minibuffers and Frames How a frame finds the minibuffer to use. 29.9 Input Focus Specifying the selected frame. 29.10 Visibility of Frames Frames may be visible or invisible, or icons. 29.11 Raising and Lowering Frames Raising a frame makes it hide other X windows; lowering it puts it underneath the others. 29.12 Frame Configurations Saving the state of all frames. 29.13 Mouse Tracking Getting events that say when the mouse moves. 29.14 Mouse Position Asking where the mouse is, or moving it. 29.15 Pop-Up Menus Displaying a menu for the user to select from. 29.16 Dialog Boxes Displaying a box to ask yes or no. 29.17 Pointer Shapes Specifying the shape of the mouse pointer. 29.18 Window System Selections Transferring text to and from other windows. 29.19 Color Names Getting the definitions of color names. 29.21 X Resources Getting resource values from the server. 29.22 Display Feature Testing Determining the features of a terminal.
Positions
30.1 Point The special position where editing takes place. 30.2 Motion Changing point. 30.3 Excursions Temporary motion and buffer changes. 30.4 Narrowing Restricting editing to a portion of the buffer.
Motion
30.2.1 Motion by Characters Moving in terms of characters. 30.2.2 Motion by Words Moving in terms of words. 30.2.3 Motion to an End of the Buffer Moving to the beginning or end of the buffer. 30.2.4 Motion by Text Lines Moving in terms of lines of text. 30.2.5 Motion by Screen Lines Moving in terms of lines as displayed. 30.2.6 Moving over Balanced Expressions Moving by parsing lists and sexps. 30.2.7 Skipping Characters Skipping characters belonging to a certain set.
Markers
31.1 Overview of Markers The components of a marker, and how it relocates. 31.2 Predicates on Markers Testing whether an object is a marker. 31.3 Functions that Create Markers Making empty markers or markers at certain places. 31.4 Information from Markers Finding the marker's buffer or character position. 31.6 Moving Marker Positions Moving the marker to a new buffer or position. 31.7 The Mark How "the mark" is implemented with a marker. 31.8 The Region How to access "the region".
Text
32.1 Examining Text Near Point Examining text in the vicinity of point. 32.2 Examining Buffer Contents Examining text in a general fashion. 32.4 Inserting Text Adding new text to a buffer. 32.5 User-Level Insertion Commands User-level commands to insert text. 32.6 Deleting Text Removing text from a buffer. 32.7 User-Level Deletion Commands User-level commands to delete text. 32.8 The Kill Ring Where removed text sometimes is saved for later use. 32.9 Undo Undoing changes to the text of a buffer. 32.14 Auto Filling How auto-fill mode is implemented to break lines. 32.11 Filling Functions for explicit filling. 32.12 Margins for Filling How to specify margins for filling commands. 32.15 Sorting Text Functions for sorting parts of the buffer. 32.17 Indentation Functions to insert or adjust indentation. 32.16 Counting Columns Computing horizontal positions, and using them. 32.18 Case Changes Case conversion of parts of the buffer. 32.19 Text Properties Assigning Lisp property lists to text characters. 32.20 Substituting for a Character Code Replacing a given character wherever it appears. 32.22 Transposition of Text Swapping two portions of a buffer. 32.21 Registers How registers are implemented. Accessing the text or position stored in a register. 32.25 Change Hooks Supplying functions to be run when text is changed.
The Kill Ring
32.8.1 Kill Ring Concepts What text looks like in the kill ring. 32.8.2 Functions for Killing Functions that kill text. 32.8.3 Functions for Yanking Commands that access the kill ring. 32.8.4 Low-Level Kill Ring Functions and variables for kill ring access. 32.8.5 Internals of the Kill Ring Variables that hold kill-ring data.
Indentation
32.17.1 Indentation Primitives Functions used to count and insert indentation. 32.17.2 Indentation Controlled by Major Mode Customize indentation for different modes. 32.17.3 Indenting an Entire Region Indent all the lines in a region. 32.17.4 Indentation Relative to Previous Lines Indent the current line based on previous lines. 32.17.5 Adjustable "Tab Stops" Adjustable, typewriter-like tab stops. 32.17.6 Indentation-Based Motion Commands Move to first non-blank character.
Text Properties
32.19.1 Examining Text Properties Looking at the properties of one character. 32.19.2 Changing Text Properties Setting the properties of a range of text. 32.19.3 Text Property Search Functions Searching for where a property changes value. 32.19.4 Properties with Special Meanings Particular properties with special meanings. 32.19.5 Formatted Text Properties Properties for representing formatting of text. 32.19.6 Stickiness of Text Properties How inserted text gets properties from neighboring text. 32.19.7 Saving Text Properties in Files Saving text properties in files, and reading them back. 32.19.8 Lazy Computation of Text Properties Computing text properties in a lazy fashion only when text is examined. 32.19.9 Defining Clickable Text Using text properties to make regions of text do something when you click on them. 32.19.10 Defining and Using Fields The fieldproperty defines fields within the buffer.32.19.11 Why Text Properties are not Intervals Why text properties do not use Lisp-visible text intervals.
Non-ASCII Characters
33.1 Text Representations Unibyte and multibyte representations 33.2 Converting Text Representations Converting unibyte to multibyte and vice versa. 33.3 Selecting a Representation Treating a byte sequence as unibyte or multi. 33.4 Character Codes How unibyte and multibyte relate to codes of individual characters. 33.5 Character Sets The space of possible characters codes is divided into various character sets. 33.6 Characters and Bytes More information about multibyte encodings. 33.7 Splitting Characters Converting a character to its byte sequence. 33.8 Scanning for Character Sets Which character sets are used in a buffer? 33.9 Translation of Characters Translation tables are used for conversion. 33.10 Coding Systems Coding systems are conversions for saving files. 33.11 Input Methods Input methods allow users to enter various non-ASCII characters without special keyboards. 33.12 Locales Interacting with the POSIX locale.
Searching and Matching
34.1 Searching for Strings Search for an exact match. 34.2 Regular Expressions Describing classes of strings. 34.3 Regular Expression Searching Searching for a match for a regexp. 34.6 The Match Data Finding out which part of the text matched various parts of a regexp, after regexp search. 34.6.4 Saving and Restoring the Match Data Saving and restoring this information. 34.8 Standard Regular Expressions Used in Editing Useful regexps for finding sentences, pages,... 34.7 Searching and Case Case-independent or case-significant searching.
Regular Expressions
34.2.1 Syntax of Regular Expressions Rules for writing regular expressions. 34.2.2 Complex Regexp Example Illustrates regular expression syntax.
Syntax Tables
35.2 Syntax Descriptors How characters are classified. 35.3 Syntax Table Functions How to create, examine and alter syntax tables. 35.6 Parsing Balanced Expressions Parsing balanced expressions using the syntax table. 35.7 Some Standard Syntax Tables Syntax tables used by various major modes. 35.8 Syntax Table Internals How syntax table information is stored.
Syntax Descriptors
35.2.1 Table of Syntax Classes Table of syntax classes. 35.2.2 Syntax Flags Additional flags each character can have.
Abbrevs And Abbrev Expansion
36.1 Setting Up Abbrev Mode Setting up Emacs for abbreviation. 36.2 Abbrev Tables Creating and working with abbrev tables. 36.3 Defining Abbrevs Specifying abbreviations and their expansions. 36.4 Saving Abbrevs in Files Saving abbrevs in files. 36.5 Looking Up and Expanding Abbreviations Controlling expansion; expansion subroutines. 36.6 Standard Abbrev Tables Abbrev tables used by various major modes.
Processes
37.1 Functions that Create Subprocesses Functions that start subprocesses. 37.3 Creating a Synchronous Process Details of using synchronous subprocesses. 37.4 Creating an Asynchronous Process Starting up an asynchronous subprocess. 37.5 Deleting Processes Eliminating an asynchronous subprocess. 37.6 Process Information Accessing run-status and other attributes. 37.7 Sending Input to Processes Sending input to an asynchronous subprocess. 37.8 Sending Signals to Processes Stopping, continuing or interrupting an asynchronous subprocess. 37.9 Receiving Output from Processes Collecting output from an asynchronous subprocess. 37.10 Sentinels: Detecting Process Status Changes Sentinels run when process run-status changes. 37.12 Network Connections Opening network connections.
Receiving Output from Processes
37.9.1 Process Buffers If no filter, output is put in a buffer. 37.9.2 Process Filter Functions Filter functions accept output from the process. 37.9.3 Accepting Output from Processes How to wait until process output arrives.
Operating System Interface
40.1 Starting Up Emacs Customizing Emacs start-up processing. 40.2 Getting Out of Emacs How exiting works (permanent or temporary). 40.3 Operating System Environment Distinguish the name and kind of system. 40.8 Terminal Input Recording terminal input for debugging. 40.9 Terminal Output Recording terminal output for debugging. 40.12 Flow Control How to turn output flow control on or off. 40.13 Batch Mode Running Emacs without terminal interaction.
Starting Up Emacs
40.1.1 Summary: Sequence of Actions at Startup Sequence of actions Emacs performs at start-up. 40.1.2 The Init File, `.emacs' Details on reading the init file (`.emacs'). 40.1.3 Terminal-Specific Initialization How the terminal-specific Lisp file is read. 40.1.4 Command-Line Arguments How command line arguments are processed, and how you can customize them.
Getting out of Emacs
40.2.1 Killing Emacs Exiting Emacs irreversibly. 40.2.2 Suspending Emacs Exiting Emacs reversibly.
Emacs Display
38.1 Refreshing the Screen Clearing the screen and redrawing everything on it. 38.3 Truncation Folding or wrapping long text lines. 38.4 The Echo Area Where messages are displayed. 38.6 Selective Display Hiding part of the buffer text. 38.7 The Overlay Arrow Display of an arrow to indicate position. 38.8 Temporary Displays Displays that go away automatically. 21.9 Waiting for Elapsed Time or Input Forcing display update and waiting for user. 38.14 Blinking Parentheses How Emacs shows the matching open parenthesis. 38.16 Usual Display Conventions How control characters are displayed. 38.18 Beeping Audible signal to the user. 38.19 Window Systems Which window system is being used.
GNU Emacs Internals
E.1 Building Emacs How to preload Lisp libraries into Emacs. E.2 Pure Storage A kludge to make preloaded Lisp functions sharable. E.3 Garbage Collection Reclaiming space for Lisp objects no longer used. E.6 Object Internals Data formats of buffers, windows, processes. E.5 Writing Emacs Primitives Writing C code for Emacs.
Object Internals
E.6.1 Buffer Internals Components of a buffer structure. E.6.2 Window Internals Components of a window structure. E.6.3 Process Internals Components of a process structure.
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Most of the GNU Emacs text editor is written in the programming language called Emacs Lisp. You can write new code in Emacs Lisp and install it as an extension to the editor. However, Emacs Lisp is more than a mere "extension language"; it is a full computer programming language in its own right. You can use it as you would any other programming language.
Because Emacs Lisp is designed for use in an editor, it has special features for scanning and parsing text as well as features for handling files, buffers, displays, subprocesses, and so on. Emacs Lisp is closely integrated with the editing facilities; thus, editing commands are functions that can also conveniently be called from Lisp programs, and parameters for customization are ordinary Lisp variables.
This manual attempts to be a full description of Emacs Lisp. For a beginner's introduction to Emacs Lisp, see An Introduction to Emacs Lisp Programming, by Bob Chassell, also published by the Free Software Foundation. This manual presumes considerable familiarity with the use of Emacs for editing; see The GNU Emacs Manual for this basic information.
Generally speaking, the earlier chapters describe features of Emacs Lisp that have counterparts in many programming languages, and later chapters describe features that are peculiar to Emacs Lisp or relate specifically to editing.
This is edition 2.8.
1.1 Caveats Flaws and a request for help. 1.2 Lisp History Emacs Lisp is descended from Maclisp. 1.3 Conventions How the manual is formatted. 1.4 Version Information Which Emacs version is running? 1.5 Acknowledgements The authors, editors, and sponsors of this manual.
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This manual has gone through numerous drafts. It is nearly complete but not flawless. There are a few topics that are not covered, either because we consider them secondary (such as most of the individual modes) or because they are yet to be written. Because we are not able to deal with them completely, we have left out several parts intentionally. This includes most information about usage on VMS.
The manual should be fully correct in what it does cover, and it is therefore open to criticism on anything it says--from specific examples and descriptive text, to the ordering of chapters and sections. If something is confusing, or you find that you have to look at the sources or experiment to learn something not covered in the manual, then perhaps the manual should be fixed. Please let us know.
As you use this manual, we ask that you send corrections as soon as you find them. If you think of a simple, real life example for a function or group of functions, please make an effort to write it up and send it in. Please reference any comments to the node name and function or variable name, as appropriate. Also state the number of the edition you are criticizing.
Please mail comments and corrections to
bug-lisp-manual@gnu.org |
We let mail to this list accumulate unread until someone decides to
apply the corrections. Months, and sometimes years, go by between
updates. So please attach no significance to the lack of a reply--your
mail will be acted on in due time. If you want to contact the
Emacs maintainers more quickly, send mail to
bug-gnu-emacs@gnu.org.
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Lisp (LISt Processing language) was first developed in the late 1950s at the Massachusetts Institute of Technology for research in artificial intelligence. The great power of the Lisp language makes it ideal for other purposes as well, such as writing editing commands.
Dozens of Lisp implementations have been built over the years, each with its own idiosyncrasies. Many of them were inspired by Maclisp, which was written in the 1960s at MIT's Project MAC. Eventually the implementors of the descendants of Maclisp came together and developed a standard for Lisp systems, called Common Lisp. In the meantime, Gerry Sussman and Guy Steele at MIT developed a simplified but very powerful dialect of Lisp, called Scheme.
GNU Emacs Lisp is largely inspired by Maclisp, and a little by Common Lisp. If you know Common Lisp, you will notice many similarities. However, many features of Common Lisp have been omitted or simplified in order to reduce the memory requirements of GNU Emacs. Sometimes the simplifications are so drastic that a Common Lisp user might be very confused. We will occasionally point out how GNU Emacs Lisp differs from Common Lisp. If you don't know Common Lisp, don't worry about it; this manual is self-contained.
A certain amount of Common Lisp emulation is available via the `cl' library. See section `Common Lisp Extension' in Common Lisp Extensions.
Emacs Lisp is not at all influenced by Scheme; but the GNU project has an implementation of Scheme, called Guile. We use Guile in all new GNU software that calls for extensibility.
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This section explains the notational conventions that are used in this manual. You may want to skip this section and refer back to it later.
1.3.1 Some Terms Explanation of terms we use in this manual. 1.3.2 nilandtHow the symbols nilandtare used.1.3.3 Evaluation Notation The format we use for examples of evaluation. 1.3.4 Printing Notation The format we use when examples print text. 1.3.5 Error Messages The format we use for examples of errors. 1.3.6 Buffer Text Notation The format we use for buffer contents in examples. 1.3.7 Format of Descriptions Notation for describing functions, variables, etc.
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Throughout this manual, the phrases "the Lisp reader" and "the Lisp printer" refer to those routines in Lisp that convert textual representations of Lisp objects into actual Lisp objects, and vice versa. See section 2.1 Printed Representation and Read Syntax, for more details. You, the person reading this manual, are thought of as "the programmer" and are addressed as "you". "The user" is the person who uses Lisp programs, including those you write.
Examples of Lisp code are formatted like this: (list 1 2 3).
Names that represent metasyntactic variables, or arguments to a function
being described, are formatted like this: first-number.
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nil and t
In Lisp, the symbol nil has three separate meanings: it
is a symbol with the name `nil'; it is the logical truth value
false; and it is the empty list--the list of zero elements.
When used as a variable, nil always has the value nil.
As far as the Lisp reader is concerned, `()' and `nil' are
identical: they stand for the same object, the symbol nil. The
different ways of writing the symbol are intended entirely for human
readers. After the Lisp reader has read either `()' or `nil',
there is no way to determine which representation was actually written
by the programmer.
In this manual, we use () when we wish to emphasize that it
means the empty list, and we use nil when we wish to emphasize
that it means the truth value false. That is a good convention to use
in Lisp programs also.
(cons 'foo ()) ; Emphasize the empty list (not nil) ; Emphasize the truth value false |
In contexts where a truth value is expected, any non-nil value
is considered to be true. However, t is the preferred way
to represent the truth value true. When you need to choose a
value which represents true, and there is no other basis for
choosing, use t. The symbol t always has the value
t.
In Emacs Lisp, nil and t are special symbols that always
evaluate to themselves. This is so that you do not need to quote them
to use them as constants in a program. An attempt to change their
values results in a setting-constant error. The same is true of
any symbol whose name starts with a colon (`:'). See section 11.2 Variables that Never Change.
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A Lisp expression that you can evaluate is called a form. Evaluating a form always produces a result, which is a Lisp object. In the examples in this manual, this is indicated with `=>':
(car '(1 2))
=> 1
|
You can read this as "(car '(1 2)) evaluates to 1".
When a form is a macro call, it expands into a new form for Lisp to evaluate. We show the result of the expansion with `==>'. We may or may not show the result of the evaluation of the expanded form.
(third '(a b c))
==> (car (cdr (cdr '(a b c))))
=> c
|
Sometimes to help describe one form we show another form that produces identical results. The exact equivalence of two forms is indicated with `=='.
(make-sparse-keymap) == (list 'keymap) |
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Many of the examples in this manual print text when they are
evaluated. If you execute example code in a Lisp Interaction buffer
(such as the buffer `*scratch*'), the printed text is inserted into
the buffer. If you execute the example by other means (such as by
evaluating the function eval-region), the printed text is
displayed in the echo area.
Examples in this manual indicate printed text with `-|',
irrespective of where that text goes. The value returned by evaluating
the form (here bar) follows on a separate line.
(progn (print 'foo) (print 'bar))
-| foo
-| bar
=> bar
|
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Some examples signal errors. This normally displays an error message in the echo area. We show the error message on a line starting with `error-->'. Note that `error-->' itself does not appear in the echo area.
(+ 23 'x) error--> Wrong type argument: number-or-marker-p, x |
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Some examples describe modifications to the contents of a buffer, by showing the "before" and "after" versions of the text. These examples show the contents of the buffer in question between two lines of dashes containing the buffer name. In addition, `-!-' indicates the location of point. (The symbol for point, of course, is not part of the text in the buffer; it indicates the place between two characters where point is currently located.)
---------- Buffer: foo ----------
This is the -!-contents of foo.
---------- Buffer: foo ----------
(insert "changed ")
=> nil
---------- Buffer: foo ----------
This is the changed -!-contents of foo.
---------- Buffer: foo ----------
|
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Functions, variables, macros, commands, user options, and special forms are described in this manual in a uniform format. The first line of a description contains the name of the item followed by its arguments, if any. The category--function, variable, or whatever--appears at the beginning of the line. The description follows on succeeding lines, sometimes with examples.
1.3.7.1 A Sample Function Description A description of an imaginary function, foo.1.3.7.2 A Sample Variable Description A description of an imaginary variable, electric-future-map.
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In a function description, the name of the function being described appears first. It is followed on the same line by a list of argument names. These names are also used in the body of the description, to stand for the values of the arguments.
The appearance of the keyword &optional in the argument list
indicates that the subsequent arguments may be omitted (omitted
arguments default to nil). Do not write &optional when
you call the function.
The keyword &rest (which must be followed by a single argument
name) indicates that any number of arguments can follow. The single
following argument name will have a value, as a variable, which is a
list of all these remaining arguments. Do not write &rest when
you call the function.
Here is a description of an imaginary function foo:
foo subtracts integer1 from integer2,
then adds all the rest of the arguments to the result. If integer2
is not supplied, then the number 19 is used by default.
(foo 1 5 3 9)
=> 16
(foo 5)
=> 14
|
More generally,
(foo w x y...) == (+ (- x w) y...) |
Any argument whose name contains the name of a type (e.g., integer, integer1 or buffer) is expected to be of that type. A plural of a type (such as buffers) often means a list of objects of that type. Arguments named object may be of any type. (See section 2. Lisp Data Types, for a list of Emacs object types.) Arguments with other sorts of names (e.g., new-file) are discussed specifically in the description of the function. In some sections, features common to the arguments of several functions are described at the beginning.
See section 12.2 Lambda Expressions, for a more complete description of optional and rest arguments.
Command, macro, and special form descriptions have the same format, but the word `Function' is replaced by `Command', `Macro', or `Special Form', respectively. Commands are simply functions that may be called interactively; macros process their arguments differently from functions (the arguments are not evaluated), but are presented the same way.
Special form descriptions use a more complex notation to specify optional and repeated arguments because they can break the argument list down into separate arguments in more complicated ways. `[optional-arg]' means that optional-arg is optional and `repeated-args...' stands for zero or more arguments. Parentheses are used when several arguments are grouped into additional levels of list structure. Here is an example:
(count-loop (i 0 10) (prin1 i) (princ " ") (prin1 (aref vector i)) (terpri)) |
If from and to are omitted, var is bound to
nil before the loop begins, and the loop exits if var is
non-nil at the beginning of an iteration. Here is an example:
(count-loop (done)
(if (pending)
(fixit)
(setq done t)))
|
In this special form, the arguments from and to are optional, but must both be present or both absent. If they are present, inc may optionally be specified as well. These arguments are grouped with the argument var into a list, to distinguish them from body, which includes all remaining elements of the form.
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A variable is a name that can hold a value. Although any variable can be set by the user, certain variables that exist specifically so that users can change them are called user options. Ordinary variables and user options are described using a format like that for functions except that there are no arguments.
Here is a description of the imaginary electric-future-map
variable.
User option descriptions have the same format, but `Variable' is replaced by `User Option'.
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These facilities provide information about which version of Emacs is in use.
(emacs-version) => "GNU Emacs 20.3.5 (i486-pc-linux-gnulibc1, X toolkit) of Sat Feb 14 1998 on psilocin.gnu.org" |
Called interactively, the function prints the same information in the echo area.
current-time (see section 40.5 Time of Day).
emacs-build-time
=> (13623 62065 344633)
|
"20.3.1". The last number in this string is not
really part of the Emacs release version number; it is incremented each
time you build Emacs in any given directory. A value with four numeric
components, such as "20.3.9.1", indicates an unreleased test
version.
The following two variables have existed since Emacs version 19.23:
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This manual was written by Robert Krawitz, Bil Lewis, Dan LaLiberte, Richard M. Stallman and Chris Welty, the volunteers of the GNU manual group, in an effort extending over several years. Robert J. Chassell helped to review and edit the manual, with the support of the Defense Advanced Research Projects Agency, ARPA Order 6082, arranged by Warren A. Hunt, Jr. of Computational Logic, Inc.
Corrections were supplied by Karl Berry, Jim Blandy, Bard Bloom, Stephane Boucher, David Boyes, Alan Carroll, Richard Davis, Lawrence R. Dodd, Peter Doornbosch, David A. Duff, Chris Eich, Beverly Erlebacher, David Eckelkamp, Ralf Fassel, Eirik Fuller, Stephen Gildea, Bob Glickstein, Eric Hanchrow, George Hartzell, Nathan Hess, Masayuki Ida, Dan Jacobson, Jak Kirman, Bob Knighten, Frederick M. Korz, Joe Lammens, Glenn M. Lewis, K. Richard Magill, Brian Marick, Roland McGrath, Skip Montanaro, John Gardiner Myers, Thomas A. Peterson, Francesco Potorti, Friedrich Pukelsheim, Arnold D. Robbins, Raul Rockwell, Per Starbäck, Shinichirou Sugou, Kimmo Suominen, Edward Tharp, Bill Trost, Rickard Westman, Jean White, Matthew Wilding, Carl Witty, Dale Worley, Rusty Wright, and David D. Zuhn.
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A Lisp object is a piece of data used and manipulated by Lisp programs. For our purposes, a type or data type is a set of possible objects.
Every object belongs to at least one type. Objects of the same type have similar structures and may usually be used in the same contexts. Types can overlap, and objects can belong to two or more types. Consequently, we can ask whether an object belongs to a particular type, but not for "the" type of an object.
A few fundamental object types are built into Emacs. These, from which all other types are constructed, are called primitive types. Each object belongs to one and only one primitive type. These types include integer, float, cons, symbol, string, vector, hash-table, subr, and byte-code function, plus several special types, such as buffer, that are related to editing. (See section 2.4 Editing Types.)
Each primitive type has a corresponding Lisp function that checks whether an object is a member of that type.
Note that Lisp is unlike many other languages in that Lisp objects are self-typing: the primitive type of the object is implicit in the object itself. For example, if an object is a vector, nothing can treat it as a number; Lisp knows it is a vector, not a number.
In most languages, the programmer must declare the data type of each variable, and the type is known by the compiler but not represented in the data. Such type declarations do not exist in Emacs Lisp. A Lisp variable can have any type of value, and it remembers whatever value you store in it, type and all.
This chapter describes the purpose, printed representation, and read syntax of each of the standard types in GNU Emacs Lisp. Details on how to use these types can be found in later chapters.
2.1 Printed Representation and Read Syntax How Lisp objects are represented as text. 2.2 Comments Comments and their formatting conventions. 2.3 Programming Types Types found in all Lisp systems. 2.4 Editing Types Types specific to Emacs. 2.5 Read Syntax for Circular Objects Read syntax for circular structure. 2.6 Type Predicates Tests related to types. 2.7 Equality Predicates Tests of equality between any two objects.
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The printed representation of an object is the format of the
output generated by the Lisp printer (the function prin1) for
that object. The read syntax of an object is the format of the
input accepted by the Lisp reader (the function read) for that
object. See section 19. Reading and Printing Lisp Objects.
Most objects have more than one possible read syntax. Some types of object have no read syntax, since it may not make sense to enter objects of these types directly in a Lisp program. Except for these cases, the printed representation of an object is also a read syntax for it.
In other languages, an expression is text; it has no other form. In Lisp, an expression is primarily a Lisp object and only secondarily the text that is the object's read syntax. Often there is no need to emphasize this distinction, but you must keep it in the back of your mind, or you will occasionally be very confused.
Every type has a printed representation. Some types have no read
syntax--for example, the buffer type has none. Objects of these types
are printed in hash notation: the characters `#<' followed by
a descriptive string (typically the type name followed by the name of
the object), and closed with a matching `>'. Hash notation cannot
be read at all, so the Lisp reader signals the error
invalid-read-syntax whenever it encounters `#<'.
(current-buffer)
=> #<buffer objects.texi>
|
When you evaluate an expression interactively, the Lisp interpreter
first reads the textual representation of it, producing a Lisp object,
and then evaluates that object (see section 9. Evaluation). However,
evaluation and reading are separate activities. Reading returns the
Lisp object represented by the text that is read; the object may or may
not be evaluated later. See section 19.3 Input Functions, for a description of
read, the basic function for reading objects.
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A comment is text that is written in a program only for the sake of humans that read the program, and that has no effect on the meaning of the program. In Lisp, a semicolon (`;') starts a comment if it is not within a string or character constant. The comment continues to the end of line. The Lisp reader discards comments; they do not become part of the Lisp objects which represent the program within the Lisp system.
The `#@count' construct, which skips the next count characters, is useful for program-generated comments containing binary data. The Emacs Lisp byte compiler uses this in its output files (see section 16. Byte Compilation). It isn't meant for source files, however.
See section D.4 Tips on Writing Comments, for conventions for formatting comments.
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There are two general categories of types in Emacs Lisp: those having to do with Lisp programming, and those having to do with editing. The former exist in many Lisp implementations, in one form or another. The latter are unique to Emacs Lisp.
2.3.1 Integer Type Numbers without fractional parts. 2.3.2 Floating Point Type Numbers with fractional parts and with a large range. 2.3.3 Character Type The representation of letters, numbers and control characters. 2.3.4 Symbol Type A multi-use object that refers to a function, variable, or property list, and has a unique identity. 2.3.5 Sequence Types Both lists and arrays are classified as sequences. 2.3.6 Cons Cell and List Types Cons cells, and lists (which are made from cons cells). 2.3.7 Array Type Arrays include strings and vectors. 2.3.8 String Type An (efficient) array of characters. 2.3.9 Vector Type One-dimensional arrays. 2.3.10 Char-Table Type One-dimensional sparse arrays indexed by characters. 2.3.11 Bool-Vector Type One-dimensional arrays of tornil.2.3.12 Hash Table Type Super-fast lookup tables. 2.3.13 Function Type A piece of executable code you can call from elsewhere. 2.3.14 Macro Type A method of expanding an expression into another expression, more fundamental but less pretty. 2.3.15 Primitive Function Type A function written in C, callable from Lisp. 2.3.16 Byte-Code Function Type A function written in Lisp, then compiled. 2.3.17 Autoload Type A type used for automatically loading seldom-used functions.
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The range of values for integers in Emacs Lisp is -134217728 to
134217727 (28 bits; i.e.,
-2**27
to
2**27 - 1)
on most machines. (Some machines may provide a wider range.) It is
important to note that the Emacs Lisp arithmetic functions do not check
for overflow. Thus (1+ 134217727) is -134217728 on most
machines.
The read syntax for integers is a sequence of (base ten) digits with an optional sign at the beginning and an optional period at the end. The printed representation produced by the Lisp interpreter never has a leading `+' or a final `.'.
-1 ; The integer -1. 1 ; The integer 1. 1. ; Also the integer 1. +1 ; Also the integer 1. 268435457 ; Also the integer 1 on a 28-bit implementation. |
See section 3. Numbers, for more information.
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Floating point numbers are the computer equivalent of scientific
notation. The precise number of significant figures and the range of
possible exponents is machine-specific; Emacs always uses the C data
type double to store the value.
The printed representation for floating point numbers requires either a decimal point (with at least one digit following), an exponent, or both. For example, `1500.0', `15e2', `15.0e2', `1.5e3', and `.15e4' are five ways of writing a floating point number whose value is 1500. They are all equivalent.
See section 3. Numbers, for more information.
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A character in Emacs Lisp is nothing more than an integer. In other words, characters are represented by their character codes. For example, the character A is represented as the integer 65.
Individual characters are not often used in programs. It is far more common to work with strings, which are sequences composed of characters. See section 2.3.8 String Type.
Characters in strings, buffers, and files are currently limited to the range of 0 to 524287--nineteen bits. But not all values in that range are valid character codes. Codes 0 through 127 are ASCII codes; the rest are non-ASCII (see section 33. Non-ASCII Characters). Characters that represent keyboard input have a much wider range, to encode modifier keys such as Control, Meta and Shift.
Since characters are really integers, the printed representation of a character is a decimal number. This is also a possible read syntax for a character, but writing characters that way in Lisp programs is a very bad idea. You should always use the special read syntax formats that Emacs Lisp provides for characters. These syntax formats start with a question mark.
The usual read syntax for alphanumeric characters is a question mark followed by the character; thus, `?A' for the character A, `?B' for the character B, and `?a' for the character a.
For example:
?Q => 81 ?q => 113 |
You can use the same syntax for punctuation characters, but it is often a good idea to add a `\' so that the Emacs commands for editing Lisp code don't get confused. For example, `?\ ' is the way to write the space character. If the character is `\', you must use a second `\' to quote it: `?\\'.
You can express the characters Control-g, backspace, tab, newline, vertical tab, formfeed, return, del, and escape as `?\a', `?\b', `?\t', `?\n', `?\v', `?\f', `?\r', `?\d', and `?\e', respectively. Thus,
?\a => 7 ; C-g ?\b => 8 ; backspace, BS, C-h ?\t => 9 ; tab, TAB, C-i ?\n => 10 ; newline, C-j ?\v => 11 ; vertical tab, C-k ?\f => 12 ; formfeed character, C-l ?\r => 13 ; carriage return, RET, C-m ?\e => 27 ; escape character, ESC, C-[ ?\\ => 92 ; backslash character, \ ?\d => 127 ; delete character, DEL |
These sequences which start with backslash are also known as escape sequences, because backslash plays the role of an escape character; this usage has nothing to do with the character ESC.
Control characters may be represented using yet another read syntax. This consists of a question mark followed by a backslash, caret, and the corresponding non-control character, in either upper or lower case. For example, both `?\^I' and `?\^i' are valid read syntax for the character C-i, the character whose value is 9.
Instead of the `^', you can use `C-'; thus, `?\C-i' is equivalent to `?\^I' and to `?\^i':
?\^I => 9 ?\C-I => 9 |
In strings and buffers, the only control characters allowed are those that exist in ASCII; but for keyboard input purposes, you can turn any character into a control character with `C-'. The character codes for these non-ASCII control characters include the 2**26 bit as well as the code for the corresponding non-control character. Ordinary terminals have no way of generating non-ASCII control characters, but you can generate them straightforwardly using X and other window systems.
For historical reasons, Emacs treats the DEL character as the control equivalent of ?:
?\^? => 127 ?\C-? => 127 |
As a result, it is currently not possible to represent the character Control-?, which is a meaningful input character under X, using `\C-'. It is not easy to change this, as various Lisp files refer to DEL in this way.
For representing control characters to be found in files or strings, we recommend the `^' syntax; for control characters in keyboard input, we prefer the `C-' syntax. Which one you use does not affect the meaning of the program, but may guide the understanding of people who read it.
A meta character is a character typed with the META modifier key. The integer that represents such a character has the 2**27 bit set (which on most machines makes it a negative number). We use high bits for this and other modifiers to make possible a wide range of basic character codes.
In a string, the 2**7 bit attached to an ASCII character indicates a meta character; thus, the meta characters that can fit in a string have codes in the range from 128 to 255, and are the meta versions of the ordinary ASCII characters. (In Emacs versions 18 and older, this convention was used for characters outside of strings as well.)
The read syntax for meta characters uses `\M-'. For example, `?\M-A' stands for M-A. You can use `\M-' together with octal character codes (see below), with `\C-', or with any other syntax for a character. Thus, you can write M-A as `?\M-A', or as `?\M-\101'. Likewise, you can write C-M-b as `?\M-\C-b', `?\C-\M-b', or `?\M-\002'.
The case of a graphic character is indicated by its character code; for example, ASCII distinguishes between the characters `a' and `A'. But ASCII has no way to represent whether a control character is upper case or lower case. Emacs uses the 2**25 bit to indicate that the shift key was used in typing a control character. This distinction is possible only when you use X terminals or other special terminals; ordinary terminals do not report the distinction to the computer in any way. The Lisp syntax for the shift bit is `\S-'; thus, `?\C-\S-o' or `?\C-\S-O' represents the shifted-control-o character.
The X Window System defines three other modifier bits that can be set in a character: hyper, super and alt. The syntaxes for these bits are `\H-', `\s-' and `\A-'. (Case is significant in these prefixes.) Thus, `?\H-\M-\A-x' represents Alt-Hyper-Meta-x. Numerically, the bit values are 2**22 for alt, 2**23 for super and 2**24 for hyper.
Finally, the most general read syntax for a character represents the
character code in either octal or hex. To use octal, write a question
mark followed by a backslash and the octal character code (up to three
octal digits); thus, `?\101' for the character A,
`?\001' for the character C-a, and ?\002 for the
character C-b. Although this syntax can represent any ASCII
character, it is preferred only when the precise octal value is more
important than the ASCII representation.
?\012 => 10 ?\n => 10 ?\C-j => 10 ?\101 => 65 ?A => 65 |
To use hex, write a question mark followed by a backslash, `x',
and the hexadecimal character code. You can use any number of hex
digits, so you can represent any character code in this way.
Thus, `?\x41' for the character A, `?\x1' for the
character C-a, and ?\x8e0 for the Latin-1 character
`a' with grave accent.
A backslash is allowed, and harmless, preceding any character without a special escape meaning; thus, `?\+' is equivalent to `?+'. There is no reason to add a backslash before most characters. However, you should add a backslash before any of the characters `()\|;'`"#.,' to avoid confusing the Emacs commands for editing Lisp code. Also add a backslash before whitespace characters such as space, tab, newline and formfeed. However, it is cleaner to use one of the easily readable escape sequences, such as `\t', instead of an actual whitespace character such as a tab.
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A symbol in GNU Emacs Lisp is an object with a name. The symbol name serves as the printed representation of the symbol. In ordinary use, the name is unique--no two symbols have the same name.
A symbol can serve as a variable, as a function name, or to hold a property list. Or it may serve only to be distinct from all other Lisp objects, so that its presence in a data structure may be recognized reliably. In a given context, usually only one of these uses is intended. But you can use one symbol in all of these ways, independently.
A symbol whose name starts with a colon (`:') is called a keyword symbol. These symbols automatically act as constants, and are normally used only by comparing an unknown symbol with a few specific alternatives.
A symbol name can contain any characters whatever. Most symbol names are written with letters, digits, and the punctuation characters `-+=*/'. Such names require no special punctuation; the characters of the name suffice as long as the name does not look like a number. (If it does, write a `\' at the beginning of the name to force interpretation as a symbol.) The characters `_~!@$%^&:<>{}?' are less often used but also require no special punctuation. Any other characters may be included in a symbol's name by escaping them with a backslash. In contrast to its use in strings, however, a backslash in the name of a symbol simply quotes the single character that follows the backslash. For example, in a string, `\t' represents a tab character; in the name of a symbol, however, `\t' merely quotes the letter `t'. To have a symbol with a tab character in its name, you must actually use a tab (preceded with a backslash). But it's rare to do such a thing.
Common Lisp note: In Common Lisp, lower case letters are always "folded" to upper case, unless they are explicitly escaped. In Emacs Lisp, upper case and lower case letters are distinct.
Here are several examples of symbol names. Note that the `+' in the fifth example is escaped to prevent it from being read as a number. This is not necessary in the sixth example because the rest of the name makes it invalid as a number.
foo ; A symbol named `foo'.
FOO ; A symbol named `FOO', different from `foo'.
char-to-string ; A symbol named `char-to-string'.
1+ ; A symbol named `1+'
; (not `+1', which is an integer).
\+1 ; A symbol named `+1'
; (not a very readable name).
\(*\ 1\ 2\) ; A symbol named `(* 1 2)' (a worse name).
+-*/_~!@$%^&=:<>{} ; A symbol named `+-*/_~!@$%^&=:<>{}'.
; These characters need not be escaped.
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Normally the Lisp reader interns all symbols (see section 8.3 Creating and Interning Symbols). To prevent interning, you can write `#:' before the name of the symbol.
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A sequence is a Lisp object that represents an ordered set of elements. There are two kinds of sequence in Emacs Lisp, lists and arrays. Thus, an object of type list or of type array is also considered a sequence.
Arrays are further subdivided into strings, vectors, char-tables and
bool-vectors. Vectors can hold elements of any type, but string
elements must be characters, and bool-vector elements must be t
or nil. Char-tables are like vectors except that they are
indexed by any valid character code. The characters in a string can
have text properties like characters in a buffer (see section 32.19 Text Properties), but vectors do not support text properties, even when
their elements happen to be characters.
Lists, strings and the other array types are different, but they have
important similarities. For example, all have a length l, and all
have elements which can be indexed from zero to l minus one.
Several functions, called sequence functions, accept any kind of
sequence. For example, the function elt can be used to extract
an element of a sequence, given its index. See section 6. Sequences, Arrays, and Vectors.
It is generally impossible to read the same sequence twice, since
sequences are always created anew upon reading. If you read the read
syntax for a sequence twice, you get two sequences with equal contents.
There is one exception: the empty list () always stands for the
same object, nil.
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A cons cell is an object that consists of two slots, called the CAR slot and the CDR slot. Each slot can hold or refer to any Lisp object. We also say that "the CAR of this cons cell is" whatever object its CAR slot currently holds, and likewise for the CDR.
A note to C programmers: in Lisp, we do not distinguish between "holding" a value and "pointing to" the value, because pointers in Lisp are implicit.
A list is a series of cons cells, linked together so that the CDR slot of each cons cell holds either the next cons cell or the empty list. See section 5. Lists, for functions that work on lists. Because most cons cells are used as part of lists, the phrase list structure has come to refer to any structure made out of cons cells.
The names CAR and CDR derive from the history of Lisp. The
original Lisp implementation ran on an IBM 704 computer which
divided words into two parts, called the "address" part and the
"decrement"; CAR was an instruction to extract the contents of
the address part of a register, and CDR an instruction to extract
the contents of the decrement. By contrast, "cons cells" are named
for the function cons that creates them, which in turn was named
for its purpose, the construction of cells.
Because cons cells are so central to Lisp, we also have a word for "an object which is not a cons cell". These objects are called atoms.
The read syntax and printed representation for lists are identical, and consist of a left parenthesis, an arbitrary number of elements, and a right parenthesis.
Upon reading, each object inside the parentheses becomes an element
of the list. That is, a cons cell is made for each element. The
CAR slot of the cons cell holds the element, and its CDR
slot refers to the next cons cell of the list, which holds the next
element in the list. The CDR slot of the last cons cell is set to
hold nil.
A list can be illustrated by a diagram in which the cons cells are
shown as pairs of boxes, like dominoes. (The Lisp reader cannot read
such an illustration; unlike the textual notation, which can be
understood by both humans and computers, the box illustrations can be
understood only by humans.) This picture represents the three-element
list (rose violet buttercup):
--- --- --- --- --- ---
| | |--> | | |--> | | |--> nil
--- --- --- --- --- ---
| | |
| | |
--> rose --> violet --> buttercup
|
In this diagram, each box represents a slot that can hold or refer to any Lisp object. Each pair of boxes represents a cons cell. Each arrow represents a reference to a Lisp object, either an atom or another cons cell.
In this example, the first box, which holds the CAR of the first
cons cell, refers to or "holds" rose (a symbol). The second
box, holding the CDR of the first cons cell, refers to the next
pair of boxes, the second cons cell. The CAR of the second cons
cell is violet, and its CDR is the third cons cell. The
CDR of the third (and last) cons cell is nil.
Here is another diagram of the same list, (rose violet
buttercup), sketched in a different manner:
--------------- ---------------- ------------------- | car | cdr | | car | cdr | | car | cdr | | rose | o-------->| violet | o-------->| buttercup | nil | | | | | | | | | | --------------- ---------------- ------------------- |
A list with no elements in it is the empty list; it is identical
to the symbol nil. In other words, nil is both a symbol
and a list.
Here are examples of lists written in Lisp syntax:
(A 2 "A") ; A list of three elements.
() ; A list of no elements (the empty list).
nil ; A list of no elements (the empty list).
("A ()") ; A list of one element: the string |
Here is the list (A ()), or equivalently (A nil),
depicted with boxes and arrows:
--- --- --- ---
| | |--> | | |--> nil
--- --- --- ---
| |
| |
--> A --> nil
|
2.3.6.1 Dotted Pair Notation An alternative syntax for lists. 2.3.6.2 Association List Type A specially constructed list.
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Dotted pair notation is an alternative syntax for cons cells
that represents the CAR and CDR explicitly. In this syntax,
(a . b) stands for a cons cell whose CAR is
the object a, and whose CDR is the object b. Dotted
pair notation is therefore more general than list syntax. In the dotted
pair notation, the list `(1 2 3)' is written as `(1 . (2 . (3
. nil)))'. For nil-terminated lists, you can use either
notation, but list notation is usually clearer and more convenient.
When printing a list, the dotted pair notation is only used if the
CDR of a cons cell is not a list.
Here's an example using boxes to illustrate dotted pair notation.
This example shows the pair (rose . violet):
--- ---
| | |--> violet
--- ---
|
|
--> rose
|
You can combine dotted pair notation with list notation to represent
conveniently a chain of cons cells with a non-nil final CDR.
You write a dot after the last element of the list, followed by the
CDR of the final cons cell. For example, (rose violet
. buttercup) is equivalent to (rose . (violet . buttercup)).
The object looks like this:
--- --- --- ---
| | |--> | | |--> buttercup
--- --- --- ---
| |
| |
--> rose --> violet
|
The syntax (rose . violet . buttercup) is invalid because
there is nothing that it could mean. If anything, it would say to put
buttercup in the CDR of a cons cell whose CDR is already
used for violet.
The list (rose violet) is equivalent to (rose . (violet)),
and looks like this:
--- --- --- ---
| | |--> | | |--> nil
--- --- --- ---
| |
| |
--> rose --> violet
|
Similarly, the three-element list (rose violet buttercup)
is equivalent to (rose . (violet . (buttercup))).
It looks like this:
--- --- --- --- --- ---
| | |--> | | |--> | | |--> nil
--- --- --- --- --- ---
| | |
| | |
--> rose --> violet --> buttercup
|
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An association list or alist is a specially-constructed list whose elements are cons cells. In each element, the CAR is considered a key, and the CDR is considered an associated value. (In some cases, the associated value is stored in the CAR of the CDR.) Association lists are often used as stacks, since it is easy to add or remove associations at the front of the list.
For example,
(setq alist-of-colors
'((rose . red) (lily . white) (buttercup . yellow)))
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sets the variable alist-of-colors to an alist of three elements. In the
first element, rose is the key and red is the value.
See section 5.8 Association Lists, for a further explanation of alists and for functions that work on alists. See section 7. Hash Tables, for another kind of lookup table, which is much faster for handling a large number of keys.
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An array is composed of an arbitrary number of slots for holding or referring to other Lisp objects, arranged in a contiguous block of memory. Accessing any element of an array takes approximately the same amount of time. In contrast, accessing an element of a list requires time proportional to the position of the element in the list. (Elements at the end of a list take longer to access than elements at the beginning of a list.)
Emacs defines four types of array: strings, vectors, bool-vectors, and char-tables.
A string is an array of characters and a vector is an array of
arbitrary objects. A bool-vector can hold only t or nil.
These kinds of array may have any length up to the largest integer.
Char-tables are sparse arrays indexed by any valid character code; they
can hold arbitrary objects.
The first element of an array has index zero, the second element has index 1, and so on. This is called zero-origin indexing. For example, an array of four elements has indices 0, 1, 2, and 3. The largest possible index value is one less than the length of the array. Once an array is created, its length is fixed.
All Emacs Lisp arrays are one-dimensional. (Most other programming languages support multidimensional arrays, but they are not essential; you can get the same effect with an array of arrays.) Each type of array has its own read syntax; see the following sections for details.
The array type is contained in the sequence type and contains the string type, the vector type, the bool-vector type, and the char-table type.
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A string is an array of characters. Strings are used for many purposes in Emacs, as can be expected in a text editor; for example, as the names of Lisp symbols, as messages for the user, and to represent text extracted from buffers. Strings in Lisp are constants: evaluation of a string returns the same string.
See section 4. Strings and Characters, for functions that operate on strings.
2.3.8.1 Syntax for Strings 2.3.8.2 Non-ASCII Characters in Strings 2.3.8.3 Nonprinting Characters in Strings 2.3.8.4 Text Properties in Strings
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The read syntax for strings is a double-quote, an arbitrary number of
characters, and another double-quote, "like this". To include a
double-quote in a string, precede it with a backslash; thus, "\""
is a string containing just a single double-quote character. Likewise,
you can include a backslash by preceding it with another backslash, like
this: "this \\ is a single embedded backslash".
The newline character is not special in the read syntax for strings; if you write a new line between the double-quotes, it becomes a character in the string. But an escaped newline--one that is preceded by `\'---does not become part of the string; i.e., the Lisp reader ignores an escaped newline while reading a string. An escaped space `\ ' is likewise ignored.
"It is useful to include newlines
in documentation strings,
but the newline is \
ignored if escaped."
=> "It is useful to include newlines
in documentation strings,
but the newline is ignored if escaped."
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You can include a non-ASCII international character in a string constant by writing it literally. There are two text representations for non-ASCII characters in Emacs strings (and in buffers): unibyte and multibyte. If the string constant is read from a multibyte source, such as a multibyte buffer or string, or a file that would be visited as multibyte, then the character is read as a multibyte character, and that makes the string multibyte. If the string constant is read from a unibyte source, then the character is read as unibyte and that makes the string unibyte.
You can also represent a multibyte non-ASCII character with its character code: use a hex escape, `\xnnnnnnn', with as many digits as necessary. (Multibyte non-ASCII character codes are all greater than 256.) Any character which is not a valid hex digit terminates this construct. If the next character in the string could be interpreted as a hex digit, write `\ ' (backslash and space) to terminate the hex escape--for example, `\x8e0\ ' represents one character, `a' with grave accent. `\ ' in a string constant is just like backslash-newline; it does not contribute any character to the string, but it does terminate the preceding hex escape.
Using a multibyte hex escape forces the string to multibyte. You can represent a unibyte non-ASCII character with its character code, which must be in the range from 128 (0200 octal) to 255 (0377 octal). This forces a unibyte string. See section 33.1 Text Representations, for more information about the two text representations.
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You can use the same backslash escape-sequences in a string constant
as in character literals (but do not use the question mark that begins a
character constant). For example, you can write a string containing the
nonprinting characters tab and C-a, with commas and spaces between
them, like this: "\t, \C-a". See section 2.3.3 Character Type, for a
description of the read syntax for characters.
However, not all of the characters you can write with backslash escape-sequences are valid in strings. The only control characters that a string can hold are the ASCII control characters. Strings do not distinguish case in ASCII control characters.
Properly speaking, strings cannot hold meta characters; but when a
string is to be used as a key sequence, there is a special convention
that provides a way to represent meta versions of ASCII characters in a
string. If you use the `\M-' syntax to indicate a meta character
in a string constant, this sets the
2**7
bit of the character in the string. If the string is used in
define-key or lookup-key, this numeric code is translated
into the equivalent meta character. See section 2.3.3 Character Type.
Strings cannot hold characters that have the hyper, super, or alt modifiers.
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A string can hold properties for the characters it contains, in addition to the characters themselves. This enables programs that copy text between strings and buffers to copy the text's properties with no special effort. See section 32.19 Text Properties, for an explanation of what text properties mean. Strings with text properties use a special read and print syntax:
#("characters" property-data...)
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where property-data consists of zero or more elements, in groups of three as follows:
beg end plist |
The elements beg and end are integers, and together specify a range of indices in the string; plist is the property list for that range. For example,
#("foo bar" 0 3 (face bold) 3 4 nil 4 7 (face italic))
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represents a string whose textual contents are `foo bar', in which
the first three characters have a face property with value
bold, and the last three have a face property with value
italic. (The fourth character has no text properties, so its
property list is nil. It is not actually necessary to mention
ranges with nil as the property list, since any characters not
mentioned in any range will default to having no properties.)
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A vector is a one-dimensional array of elements of any type. It takes a constant amount of time to access any element of a vector. (In a list, the access time of an element is proportional to the distance of the element from the beginning of the list.)
The printed representation of a vector consists of a left square bracket, the elements, and a right square bracket. This is also the read syntax. Like numbers and strings, vectors are considered constants for evaluation.
[1 "two" (three)] ; A vector of three elements.
=> [1 "two" (three)]
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See section 6.4 Vectors, for functions that work with vectors.
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A char-table is a one-dimensional array of elements of any type, indexed by character codes. Char-tables have certain extra features to make them more useful for many jobs that involve assigning information to character codes--for example, a char-table can have a parent to inherit from, a default value, and a small number of extra slots to use for special purposes. A char-table can also specify a single value for a whole character set.
The printed representation of a char-table is like a vector except that there is an extra `#^' at the beginning.
See section 6.6 Char-Tables, for special functions to operate on char-tables. Uses of char-tables include:
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A bool-vector is a one-dimensional array of elements that
must be t or nil.
The printed representation of a bool-vector is like a string, except
that it begins with `#&' followed by the length. The string
constant that follows actually specifies the contents of the bool-vector
as a bitmap--each "character" in the string contains 8 bits, which
specify the next 8 elements of the bool-vector (1 stands for t,
and 0 for nil). The least significant bits of the character
correspond to the lowest indices in the bool-vector. If the length is not a
multiple of 8, the printed representation shows extra elements, but
these extras really make no difference.
(make-bool-vector 3 t)
=> #&3"\007"
(make-bool-vector 3 nil)
=> #&3"\0"
;; These are equal since only the first 3 bits are used.
(equal #&3"\377" #&3"\007")
=> t
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A hash table is a very fast kind of lookup table, somewhat like an alist in that it maps keys to corresponding values, but much faster. Hash tables are a new feature in Emacs 21; they have no read syntax, and print using hash notation. See section 7. Hash Tables.
(make-hash-table)
=> #<hash-table 'eql nil 0/65 0x83af980>
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Just as functions in other programming languages are executable,
Lisp function objects are pieces of executable code. However,
functions in Lisp are primarily Lisp objects, and only secondarily the
text which represents them. These Lisp objects are lambda expressions:
lists whose first element is the symbol lambda (see section 12.2 Lambda Expressions).
In most programming languages, it is impossible to have a function without a name. In Lisp, a function has no intrinsic name. A lambda expression is also called an anonymous function (see section 12.7 Anonymous Functions). A named function in Lisp is actually a symbol with a valid function in its function cell (see section 12.4 Defining Functions).
Most of the time, functions are called when their names are written in
Lisp expressions in Lisp programs. However, you can construct or obtain
a function object at run time and then call it with the primitive
functions funcall and apply. See section 12.5 Calling Functions.
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A Lisp macro is a user-defined construct that extends the Lisp
language. It is represented as an object much like a function, but with
different argument-passing semantics. A Lisp macro has the form of a
list whose first element is the symbol macro and whose CDR
is a Lisp function object, including the lambda symbol.
Lisp macro objects are usually defined with the built-in
defmacro function, but any list that begins with macro is
a macro as far as Emacs is concerned. See section 13. Macros, for an explanation
of how to write a macro.
Warning: Lisp macros and keyboard macros (see section 21.15 Keyboard Macros) are entirely different things. When we use the word "macro" without qualification, we mean a Lisp macro, not a keyboard macro.
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A primitive function is a function callable from Lisp but written in the C programming language. Primitive functions are also called subrs or built-in functions. (The word "subr" is derived from "subroutine".) Most primitive functions evaluate all their arguments when they are called. A primitive function that does not evaluate all its arguments is called a special form (see section 9.2.7 Special Forms).
It does not matter to the caller of a function whether the function is primitive. However, this does matter if you try to redefine a primitive with a function written in Lisp. The reason is that the primitive function may be called directly from C code. Calls to the redefined function from Lisp will use the new definition, but calls from C code may still use the built-in definition. Therefore, we discourage redefinition of primitive functions.
The term function refers to all Emacs functions, whether written in Lisp or C. See section 2.3.13 Function Type, for information about the functions written in Lisp.
Primitive functions have no read syntax and print in hash notation with the name of the subroutine.
(symbol-function 'car) ; Access the function cell
; of the symbol.
=> #<subr car>
(subrp (symbol-function 'car)) ; Is this a primitive function?
=> t ; Yes.
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The byte compiler produces byte-code function objects. Internally, a byte-code function object is much like a vector; however, the evaluator handles this data type specially when it appears as a function to be called. See section 16. Byte Compilation, for information about the byte compiler.
The printed representation and read syntax for a byte-code function object is like that for a vector, with an additional `#' before the opening `['.
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An autoload object is a list whose first element is the symbol
autoload. It is stored as the function definition of a symbol,
where it serves as a placeholder for the real definition. The autoload
object says that the real definition is found in a file of Lisp code
that should be loaded when necessary. It contains the name of the file,
plus some other information about the real definition.
After the file has been loaded, the symbol should have a new function definition that is not an autoload object. The new definition is then called as if it had been there to begin with. From the user's point of view, the function call works as expected, using the function definition in the loaded file.
An autoload object is usually created with the function
autoload, which stores the object in the function cell of a
symbol. See section 15.4 Autoload, for more details.
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The types in the previous section are used for general programming purposes, and most of them are common to most Lisp dialects. Emacs Lisp provides several additional data types for purposes connected with editing.
2.4.1 Buffer Type The basic object of editing. 2.4.2 Marker Type A position in a buffer. 2.4.3 Window Type Buffers are displayed in windows. 2.4.4 Frame Type Windows subdivide frames. 2.4.5 Window Configuration Type Recording the way a frame is subdivided. 2.4.6 Frame Configuration Type Recording the status of all frames. 2.4.7 Process Type A process running on the underlying OS. 2.4.8 Stream Type Receive or send characters. 2.4.9 Keymap Type What function a keystroke invokes. 2.4.10 Overlay Type How an overlay is represented.
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A buffer is an object that holds text that can be edited (see section 27. Buffers). Most buffers hold the contents of a disk file (see section 25. Files) so they can be edited, but some are used for other purposes. Most buffers are also meant to be seen by the user, and therefore displayed, at some time, in a window (see section 28. Windows). But a buffer need not be displayed in any window.
The contents of a buffer are much like a string, but buffers are not used like strings in Emacs Lisp, and the available operations are different. For example, you can insert text efficiently into an existing buffer, altering the buffer's contents, whereas "inserting" text into a string requires concatenating substrings, and the result is an entirely new string object.
Each buffer has a designated position called point (see section 30. Positions). At any time, one buffer is the current buffer. Most editing commands act on the contents of the current buffer in the neighborhood of point. Many of the standard Emacs functions manipulate or test the characters in the current buffer; a whole chapter in this manual is devoted to describing these functions (see section 32. Text).
Several other data structures are associated with each buffer:
The local keymap and variable list contain entries that individually override global bindings or values. These are used to customize the behavior of programs in different buffers, without actually changing the programs.
A buffer may be indirect, which means it shares the text of another buffer, but presents it differently. See section 27.11 Indirect Buffers.
Buffers have no read syntax. They print in hash notation, showing the buffer name.
(current-buffer)
=> #<buffer objects.texi>
|
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A marker denotes a position in a specific buffer. Markers therefore have two components: one for the buffer, and one for the position. Changes in the buffer's text automatically relocate the position value as necessary to ensure that the marker always points between the same two characters in the buffer.
Markers have no read syntax. They print in hash notation, giving the current character position and the name of the buffer.
(point-marker)
=> #<marker at 10779 in objects.texi>
|
See section 31. Markers, for information on how to test, create, copy, and move markers.
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A window describes the portion of the terminal screen that Emacs uses to display a buffer. Every window has one associated buffer, whose contents appear in the window. By contrast, a given buffer may appear in one window, no window, or several windows.
Though many windows may exist simultaneously, at any time one window is designated the selected window. This is the window where the cursor is (usually) displayed when Emacs is ready for a command. The selected window usually displays the current buffer, but this is not necessarily the case.
Windows are grouped on the screen into frames; each window belongs to one and only one frame. See section 2.4.4 Frame Type.
Windows have no read syntax. They print in hash notation, giving the window number and the name of the buffer being displayed. The window numbers exist to identify windows uniquely, since the buffer displayed in any given window can change frequently.
(selected-window)
=> #<window 1 on objects.texi>
|
See section 28. Windows, for a description of the functions that work on windows.
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A frame is a rectangle on the screen that contains one or more Emacs windows. A frame initially contains a single main window (plus perhaps a minibuffer window) which you can subdivide vertically or horizontally into smaller windows.
Frames have no read syntax. They print in hash notation, giving the frame's title, plus its address in core (useful to identify the frame uniquely).
(selected-frame)
=> #<frame emacs@psilocin.gnu.org 0xdac80>
|
See section 29. Frames, for a description of the functions that work on frames.
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A window configuration stores information about the positions, sizes, and contents of the windows in a frame, so you can recreate the same arrangement of windows later.
Window configurations do not have a read syntax; their print syntax looks like `#<window-configuration>'. See section 28.17 Window Configurations, for a description of several functions related to window configurations.
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A frame configuration stores information about the positions,
sizes, and contents of the windows in all frames. It is actually
a list whose CAR is frame-configuration and whose
CDR is an alist. Each alist element describes one frame,
which appears as the CAR of that element.
See section 29.12 Frame Configurations, for a description of several functions related to frame configurations.
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The word process usually means a running program. Emacs itself runs in a process of this sort. However, in Emacs Lisp, a process is a Lisp object that designates a subprocess created by the Emacs process. Programs such as shells, GDB, ftp, and compilers, running in subprocesses of Emacs, extend the capabilities of Emacs.
An Emacs subprocess takes textual input from Emacs and returns textual output to Emacs for further manipulation. Emacs can also send signals to the subprocess.
Process objects have no read syntax. They print in hash notation, giving the name of the process:
(process-list)
=> (#<process shell>)
|
See section 37. Processes, for information about functions that create, delete, return information about, send input or signals to, and receive output from processes.
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A stream is an object that can be used as a source or sink for characters--either to supply characters for input or to accept them as output. Many different types can be used this way: markers, buffers, strings, and functions. Most often, input streams (character sources) obtain characters from the keyboard, a buffer, or a file, and output streams (character sinks) send characters to a buffer, such as a `*Help*' buffer, or to the echo area.
The object nil, in addition to its other meanings, may be used
as a stream. It stands for the value of the variable
standard-input or standard-output. Also, the object
t as a stream specifies input using the minibuffer
(see section 20. Minibuffers) or output in the echo area (see section 38.4 The Echo Area).
Streams have no special printed representation or read syntax, and print as whatever primitive type they are.
See section 19. Reading and Printing Lisp Objects, for a description of functions related to streams, including parsing and printing functions.
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A keymap maps keys typed by the user to commands. This mapping
controls how the user's command input is executed. A keymap is actually
a list whose CAR is the symbol keymap.
See section 22. Keymaps, for information about creating keymaps, handling prefix keys, local as well as global keymaps, and changing key bindings.
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An overlay specifies properties that apply to a part of a buffer. Each overlay applies to a specified range of the buffer, and contains a property list (a list whose elements are alternating property names and values). Overlay properties are used to present parts of the buffer temporarily in a different display style. Overlays have no read syntax, and print in hash notation, giving the buffer name and range of positions.
See section 38.9 Overlays, for how to create and use overlays.
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In Emacs 21, to represent shared or circular structure within a complex of Lisp objects, you can use the reader constructs `#n=' and `#n#'.
Use #n= before an object to label it for later reference;
subsequently, you can use #n# to refer the same object in
another place. Here, n is some integer. For example, here is how
to make a list in which the first element recurs as the third element:
(#1=(a) b #1#) |
This differs from ordinary syntax such as this
((a) b (a)) |
which would result in a list whose first and third elements look alike but are not the same Lisp object. This shows the difference:
(prog1 nil
(setq x '(#1=(a) b #1#)))
(eq (nth 0 x) (nth 2 x))
=> t
(setq x '((a) b (a)))
(eq (nth 0 x) (nth 2 x))
=> nil
|
You can also use the same syntax to make a circular structure, which appears as an "element" within itself. Here is an example:
#1=(a #1#) |
This makes a list whose second element is the list itself. Here's how you can see that it really works:
(prog1 nil
(setq x '#1=(a #1#)))
(eq x (cadr x))
=> t
|
The Lisp printer can produce this syntax to record circular and shared
structure in a Lisp object, if you bind the variable print-circle
to a non-nil value. See section 19.6 Variables Affecting Output.
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The Emacs Lisp interpreter itself does not perform type checking on the actual arguments passed to functions when they are called. It could not do so, since function arguments in Lisp do not have declared data types, as they do in other programming languages. It is therefore up to the individual function to test whether each actual argument belongs to a type that the function can use.
All built-in functions do check the types of their actual arguments
when appropriate, and signal a wrong-type-argument error if an
argument is of the wrong type. For example, here is what happens if you
pass an argument to + that it cannot handle:
(+ 2 'a)
error--> Wrong type argument: number-or-marker-p, a
|
If you want your program to handle different types differently, you must do explicit type checking. The most common way to check the type of an object is to call a type predicate function. Emacs has a type predicate for each type, as well as some predicates for combinations of types.
A type predicate function takes one argument; it returns t if
the argument belongs to the appropriate type, and nil otherwise.
Following a general Lisp convention for predicate functions, most type
predicates' names end with `p'.
Here is an example which uses the predicates listp to check for
a list and symbolp to check for a symbol.
(defun add-on (x)
(cond ((symbolp x)
;; If X is a symbol, put it on LIST.
(setq list (cons x list)))
((listp x)
;; If X is a list, add its elements to LIST.
(setq list (append x list)))
(t
;; We handle only symbols and lists.
(error "Invalid argument %s in add-on" x))))
|
Here is a table of predefined type predicates, in alphabetical order, with references to further information.
atom
arrayp
bool-vector-p
bufferp
byte-code-function-p
case-table-p
char-or-string-p
char-table-p
commandp
consp
display-table-p
floatp
frame-configuration-p
frame-live-p
framep
functionp
integer-or-marker-p
integerp
keymapp
keywordp
listp
markerp
wholenump
nlistp
numberp
number-or-marker-p
overlayp
processp
sequencep
stringp
subrp
symbolp
syntax-table-p
user-variable-p
vectorp
window-configuration-p
window-live-p
windowp
The most general way to check the type of an object is to call the
function type-of. Recall that each object belongs to one and
only one primitive type; type-of tells you which one (see section 2. Lisp Data Types). But type-of knows nothing about non-primitive
types. In most cases, it is more convenient to use type predicates than
type-of.
symbol,
integer, float, string, cons, vector,
char-table, bool-vector, hash-table, subr,
compiled-function, marker, overlay, window,
buffer, frame, process, or
window-configuration.
(type-of 1)
=> integer
(type-of 'nil)
=> symbol
(type-of '()) ; |
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Here we describe two functions that test for equality between any two objects. Other functions test equality between objects of specific types, e.g., strings. For these predicates, see the appropriate chapter describing the data type.
t if object1 and object2 are
the same object, nil otherwise. The "same object" means that a
change in one will be reflected by the same change in the other.
eq returns t if object1 and object2 are
integers with the same value. Also, since symbol names are normally
unique, if the arguments are symbols with the same name, they are
eq. For other types (e.g., lists, vectors, strings), two
arguments with the same contents or elements are not necessarily
eq to each other: they are eq only if they are the same
object.
(eq 'foo 'foo)
=> t
(eq 456 456)
=> t
(eq "asdf" "asdf")
=> nil
(eq '(1 (2 (3))) '(1 (2 (3))))
=> nil
(setq foo '(1 (2 (3))))
=> (1 (2 (3)))
(eq foo foo)
=> t
(eq foo '(1 (2 (3))))
=> nil
(eq [(1 2) 3] [(1 2) 3])
=> nil
(eq (point-marker) (point-marker))
=> nil
|
The make-symbol function returns an uninterned symbol, distinct
from the symbol that is used if you write the name in a Lisp expression.
Distinct symbols with the same name are not eq. See section 8.3 Creating and Interning Symbols.
(eq (make-symbol "foo") 'foo)
=> nil
|
t if object1 and object2 have
equal components, nil otherwise. Whereas eq tests if its
arguments are the same object, equal looks inside nonidentical
arguments to see if their elements or contents are the same. So, if two
objects are eq, they are equal, but the converse is not
always true.
(equal 'foo 'foo)
=> t
(equal 456 456)
=> t
(equal "asdf" "asdf")
=> t
(eq "asdf" "asdf")
=> nil
(equal '(1 (2 (3))) '(1 (2 (3))))
=> t
(eq '(1 (2 (3))) '(1 (2 (3))))
=> nil
(equal [(1 2) 3] [(1 2) 3])
=> t
(eq [(1 2) 3] [(1 2) 3])
=> nil
(equal (point-marker) (point-marker))
=> t
(eq (point-marker) (point-marker))
=> nil
|
Comparison of strings is case-sensitive, but does not take account of text properties--it compares only the characters in the strings. A unibyte string never equals a multibyte string unless the contents are entirely ASCII (see section 33.1 Text Representations).
(equal "asdf" "ASDF")
=> nil
|
However, two distinct buffers are never considered equal, even if
their textual contents are the same.
The test for equality is implemented recursively; for example, given
two cons cells x and y, (equal x y)
returns t if and only if both the expressions below return
t:
(equal (car x) (car y)) (equal (cdr x) (cdr y)) |
Because of this recursive method, circular lists may therefore cause infinite recursion (leading to an error).
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GNU Emacs supports two numeric data types: integers and floating point numbers. Integers are whole numbers such as -3, 0, 7, 13, and 511. Their values are exact. Floating point numbers are numbers with fractional parts, such as -4.5, 0.0, or 2.71828. They can also be expressed in exponential notation: 1.5e2 equals 150; in this example, `e2' stands for ten to the second power, and that is multiplied by 1.5. Floating point values are not exact; they have a fixed, limited amount of precision.
3.1 Integer Basics Representation and range of integers. 3.2 Floating Point Basics Representation and range of floating point. 3.3 Type Predicates for Numbers Testing for numbers. 3.4 Comparison of Numbers Equality and inequality predicates. 3.5 Numeric Conversions Converting float to integer and vice versa. 3.6 Arithmetic Operations How to add, subtract, multiply and divide. 3.7 Rounding Operations Explicitly rounding floating point numbers. 3.8 Bitwise Operations on Integers Logical and, or, not, shifting. 3.9 Standard Mathematical Functions Trig, exponential and logarithmic functions. 3.10 Random Numbers Obtaining random integers, predictable or not.
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The range of values for an integer depends on the machine. The minimum range is -134217728 to 134217727 (28 bits; i.e., -2**27 to 2**27 - 1), but some machines may provide a wider range. Many examples in this chapter assume an integer has 28 bits.
The Lisp reader reads an integer as a sequence of digits with optional initial sign and optional final period.
1 ; The integer 1. 1. ; The integer 1. +1 ; Also the integer 1. -1 ; The integer -1. 268435457 ; Also the integer 1, due to overflow. 0 ; The integer 0. -0 ; The integer 0. |
In addition, the Lisp reader recognizes a syntax for integers in bases other than 10: `#Binteger' reads integer in binary (radix 2), `#Ointeger' reads integer in octal (radix 8), `#Xinteger' reads integer in hexadecimal (radix 16), and `#radixrinteger' reads integer in radix radix (where radix is between 2 and 36, inclusivley). Case is not significant for the letter after `#' (`B', `O', etc.) that denotes the radix.
To understand how various functions work on integers, especially the bitwise operators (see section 3.8 Bitwise Operations on Integers), it is often helpful to view the numbers in their binary form.
In 28-bit binary, the decimal integer 5 looks like this:
0000 0000 0000 0000 0000 0000 0101 |
(We have inserted spaces between groups of 4 bits, and two spaces between groups of 8 bits, to make the binary integer easier to read.)
The integer -1 looks like this:
1111 1111 1111 1111 1111 1111 1111 |
-1 is represented as 28 ones. (This is called two's complement notation.)
The negative integer, -5, is creating by subtracting 4 from -1. In binary, the decimal integer 4 is 100. Consequently, -5 looks like this:
1111 1111 1111 1111 1111 1111 1011 |
In this implementation, the largest 28-bit binary integer value is 134,217,727 in decimal. In binary, it looks like this:
0111 1111 1111 1111 1111 1111 1111 |
Since the arithmetic functions do not check whether integers go outside their range, when you add 1 to 134,217,727, the value is the negative integer -134,217,728:
(+ 1 134217727)
=> -134217728
=> 1000 0000 0000 0000 0000 0000 0000
|
Many of the functions described in this chapter accept markers for arguments in place of numbers. (See section 31. Markers.) Since the actual arguments to such functions may be either numbers or markers, we often give these arguments the name number-or-marker. When the argument value is a marker, its position value is used and its buffer is ignored.
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Floating point numbers are useful for representing numbers that are
not integral. The precise range of floating point numbers is
machine-specific; it is the same as the range of the C data type
double on the machine you are using.
The read-syntax for floating point numbers requires either a decimal point (with at least one digit following), an exponent, or both. For example, `1500.0', `15e2', `15.0e2', `1.5e3', and `.15e4' are five ways of writing a floating point number whose value is 1500. They are all equivalent. You can also use a minus sign to write negative floating point numbers, as in `-1.0'.
Most modern computers support the IEEE floating point standard, which
provides for positive infinity and negative infinity as floating point
values. It also provides for a class of values called NaN or
"not-a-number"; numerical functions return such values in cases where
there is no correct answer. For example, (sqrt -1.0) returns a
NaN. For practical purposes, there's no significant difference between
different NaN values in Emacs Lisp, and there's no rule for precisely
which NaN value should be used in a particular case, so Emacs Lisp
doesn't try to distinguish them. Here are the read syntaxes for
these special floating point values:
In addition, the value -0.0 is distinguishable from ordinary
zero in IEEE floating point (although equal and = consider
them equal values).
You can use logb to extract the binary exponent of a floating
point number (or estimate the logarithm of an integer):
(logb 10)
=> 3
(logb 10.0e20)
=> 69
|
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The functions in this section test whether the argument is a number or
whether it is a certain sort of number. The functions integerp
and floatp can take any type of Lisp object as argument (the
predicates would not be of much use otherwise); but the zerop
predicate requires a number as its argument. See also
integer-or-marker-p and number-or-marker-p, in
31.2 Predicates on Markers.
t if so, nil otherwise.
floatp does not exist in Emacs versions 18 and earlier.
t if so, nil otherwise.
t if so, nil otherwise.
wholenump predicate (whose name comes from the phrase
"whole-number-p") tests to see whether its argument is a nonnegative
integer, and returns t if so, nil otherwise. 0 is
considered non-negative.
t
if so, nil otherwise. The argument must be a number.
These two forms are equivalent: (zerop x) == (= x 0).
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To test numbers for numerical equality, you should normally use
=, not eq. There can be many distinct floating point
number objects with the same numeric value. If you use eq to
compare them, then you test whether two values are the same
object. By contrast, = compares only the numeric values
of the objects.
At present, each integer value has a unique Lisp object in Emacs Lisp.
Therefore, eq is equivalent to = where integers are
concerned. It is sometimes convenient to use eq for comparing an
unknown value with an integer, because eq does not report an
error if the unknown value is not a number--it accepts arguments of any
type. By contrast, = signals an error if the arguments are not
numbers or markers. However, it is a good idea to use = if you
can, even for comparing integers, just in case we change the
representation of integers in a future Emacs version.
Sometimes it is useful to compare numbers with equal; it treats
two numbers as equal if they have the same data type (both integers, or
both floating point) and the same value. By contrast, = can
treat an integer and a floating point number as equal.
There is another wrinkle: because floating point arithmetic is not exact, it is often a bad idea to check for equality of two floating point values. Usually it is better to test for approximate equality. Here's a function to do this:
(defvar fuzz-factor 1.0e-6)
(defun approx-equal (x y)
(or (and (= x 0) (= y 0))
(< (/ (abs (- x y))
(max (abs x) (abs y)))
fuzz-factor)))
|
Common Lisp note: Comparing numbers in Common Lisp always requires
= because Common Lisp implements multi-word integers, and two
distinct integer objects can have the same numeric value. Emacs Lisp
can have just one integer object for any given value because it has a
limited range of integer values.
t if so, nil otherwise.
t if they are not, and nil if they are.
t if so, nil otherwise.
t if so, nil
otherwise.
t if so, nil
otherwise.
t if so, nil
otherwise.
(max 20)
=> 20
(max 1 2.5)
=> 2.5
(max 1 3 2.5)
=> 3.0
|
(min -4 1)
=> -4
|
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To convert an integer to floating point, use the function float.
float returns
it unchanged.
There are four functions to convert floating point numbers to integers; they differ in how they round. These functions accept integer arguments also, and return such arguments unchanged.
(truncate 1.2)
=> 1
(truncate 1.7)
=> 1
(truncate -1.2)
=> -1
(truncate -1.7)
=> -1
|
If divisor is specified, floor divides number by
divisor and then converts to an integer; this uses the kind of
division operation that corresponds to mod, rounding downward.
An arith-error results if divisor is 0.
(floor 1.2)
=> 1
(floor 1.7)
=> 1
(floor -1.2)
=> -2
(floor -1.7)
=> -2
(floor 5.99 3)
=> 1
|
(ceiling 1.2)
=> 2
(ceiling 1.7)
=> 2
(ceiling -1.2)
=> -1
(ceiling -1.7)
=> -1
|
(round 1.2)
=> 1
(round 1.7)
=> 2
(round -1.2)
=> -1
(round -1.7)
=> -2
|
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Emacs Lisp provides the traditional four arithmetic operations: addition, subtraction, multiplication, and division. Remainder and modulus functions supplement the division functions. The functions to add or subtract 1 are provided because they are traditional in Lisp and commonly used.
All of these functions except % return a floating point value
if any argument is floating.
It is important to note that in Emacs Lisp, arithmetic functions
do not check for overflow. Thus (1+ 134217727) may evaluate to
-134217728, depending on your hardware.
(setq foo 4)
=> 4
(1+ foo)
=> 5
|
This function is not analogous to the C operator ++---it does not
increment a variable. It just computes a sum. Thus, if we continue,
foo
=> 4
|
If you want to increment the variable, you must use setq,
like this:
(setq foo (1+ foo))
=> 5
|
+ returns 0.
(+)
=> 0
(+ 1)
=> 1
(+ 1 2 3 4)
=> 10
|
- function serves two purposes: negation and subtraction.
When - has a single argument, the value is the negative of the
argument. When there are multiple arguments, - subtracts each of
the more-numbers-or-markers from number-or-marker,
cumulatively. If there are no arguments, the result is 0.
(- 10 1 2 3 4)
=> 0
(- 10)
=> -10
(-)
=> 0
|
* returns 1.
(*)
=> 1
(* 1)
=> 1
(* 1 2 3 4)
=> 24
|
If all the arguments are integers, then the result is an integer too.
This means the result has to be rounded. On most machines, the result
is rounded towards zero after each division, but some machines may round
differently with negative arguments. This is because the Lisp function
/ is implemented using the C division operator, which also
permits machine-dependent rounding. As a practical matter, all known
machines round in the standard fashion.
If you divide an integer by 0, an arith-error error is signaled.
(See section 10.5.3 Errors.) Floating point division by zero returns either
infinity or a NaN if your machine supports IEEE floating point;
otherwise, it signals an arith-error error.
(/ 6 2)
=> 3
(/ 5 2)
=> 2
(/ 5.0 2)
=> 2.5
(/ 5 2.0)
=> 2.5
(/ 5.0 2.0)
=> 2.5
(/ 25 3 2)
=> 4
(/ -17 6)
=> -2
|
The result of (/ -17 6) could in principle be -3 on some
machines.
For negative arguments, the remainder is in principle machine-dependent since the quotient is; but in practice, all known machines behave alike.
An arith-error results if divisor is 0.
(% 9 4)
=> 1
(% -9 4)
=> -1
(% 9 -4)
=> 1
(% -9 -4)
=> -1
|
For any two integers dividend and divisor,
(+ (% dividend divisor) (* (/ dividend divisor) divisor)) |
always equals dividend.
Unlike %, mod returns a well-defined result for negative
arguments. It also permits floating point arguments; it rounds the
quotient downward (towards minus infinity) to an integer, and uses that
quotient to compute the remainder.
An arith-error results if divisor is 0.
(mod 9 4)
=> 1
(mod -9 4)
=> 3
(mod 9 -4)
=> -3
(mod -9 -4)
=> -1
(mod 5.5 2.5)
=> .5
|
For any two numbers dividend and divisor,
(+ (mod dividend divisor) (* (floor dividend divisor) divisor)) |
always equals dividend, subject to rounding error if either
argument is floating point. For floor, see 3.5 Numeric Conversions.
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The functions ffloor, fceiling, fround, and
ftruncate take a floating point argument and return a floating
point result whose value is a nearby integer. ffloor returns the
nearest integer below; fceiling, the nearest integer above;
ftruncate, the nearest integer in the direction towards zero;
fround, the nearest integer.
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In a computer, an integer is represented as a binary number, a sequence of bits (digits which are either zero or one). A bitwise operation acts on the individual bits of such a sequence. For example, shifting moves the whole sequence left or right one or more places, reproducing the same pattern "moved over".
The bitwise operations in Emacs Lisp apply only to integers.
lsh, which is an abbreviation for logical shift, shifts the
bits in integer1 to the left count places, or to the right
if count is negative, bringing zeros into the vacated bits. If
count is negative, lsh shifts zeros into the leftmost
(most-significant) bit, producing a positive result even if
integer1 is negative. Contrast this with ash, below.
Here are two examples of lsh, shifting a pattern of bits one
place to the left. We show only the low-order eight bits of the binary
pattern; the rest are all zero.
(lsh 5 1)
=> 10
;; Decimal 5 becomes decimal 10.
00000101 => 00001010
(lsh 7 1)
=> 14
;; Decimal 7 becomes decimal 14.
00000111 => 00001110
|
As the examples illustrate, shifting the pattern of bits one place to the left produces a number that is twice the value of the previous number.
Shifting a pattern of bits two places to the left produces results like this (with 8-bit binary numbers):
(lsh 3 2)
=> 12
;; Decimal 3 becomes decimal 12.
00000011 => 00001100
|
On the other hand, shifting one place to the right looks like this:
(lsh 6 -1)
=> 3
;; Decimal 6 becomes decimal 3.
00000110 => 00000011
(lsh 5 -1)
=> 2
;; Decimal 5 becomes decimal 2.
00000101 => 00000010
|
As the example illustrates, shifting one place to the right divides the value of a positive integer by two, rounding downward.
The function lsh, like all Emacs Lisp arithmetic functions, does
not check for overflow, so shifting left can discard significant bits
and change the sign of the number. For example, left shifting
134,217,727 produces -2 on a 28-bit machine:
(lsh 134217727 1) ; left shift
=> -2
|
In binary, in the 28-bit implementation, the argument looks like this:
;; Decimal 134,217,727 0111 1111 1111 1111 1111 1111 1111 |
which becomes the following when left shifted:
;; Decimal -2 1111 1111 1111 1111 1111 1111 1110 |
ash (arithmetic shift) shifts the bits in integer1
to the left count places, or to the right if count
is negative.
ash gives the same results as lsh except when
integer1 and count are both negative. In that case,
ash puts ones in the empty bit positions on the left, while
lsh puts zeros in those bit positions.
Thus, with ash, shifting the pattern of bits one place to the right
looks like this:
(ash -6 -1) => -3
;; Decimal -6 becomes decimal -3.
1111 1111 1111 1111 1111 1111 1010
=>
1111 1111 1111 1111 1111 1111 1101
|
In contrast, shifting the pattern of bits one place to the right with
lsh looks like this:
(lsh -6 -1) => 134217725
;; Decimal -6 becomes decimal 134,217,725.
1111 1111 1111 1111 1111 1111 1010
=>
0111 1111 1111 1111 1111 1111 1101
|
Here are other examples:
; 28-bit binary values
(lsh 5 2) ; 5 = 0000 0000 0000 0000 0000 0000 0101
=> 20 ; = 0000 0000 0000 0000 0000 0001 0100
(ash 5 2)
=> 20
(lsh -5 2) ; -5 = 1111 1111 1111 1111 1111 1111 1011
=> -20 ; = 1111 1111 1111 1111 1111 1110 1100
(ash -5 2)
=> -20
(lsh 5 -2) ; 5 = 0000 0000 0000 0000 0000 0000 0101
=> 1 ; = 0000 0000 0000 0000 0000 0000 0001
(ash 5 -2)
=> 1
(lsh -5 -2) ; -5 = 1111 1111 1111 1111 1111 1111 1011
=> 4194302 ; = 0011 1111 1111 1111 1111 1111 1110
(ash -5 -2) ; -5 = 1111 1111 1111 1111 1111 1111 1011
=> -2 ; = 1111 1111 1111 1111 1111 1111 1110
|
For example, using 4-bit binary numbers, the "logical and" of 13 and 12 is 12: 1101 combined with 1100 produces 1100. In both the binary numbers, the leftmost two bits are set (i.e., they are 1's), so the leftmost two bits of the returned value are set. However, for the rightmost two bits, each is zero in at least one of the arguments, so the rightmost two bits of the returned value are 0's.
Therefore,
(logand 13 12)
=> 12
|
If logand is not passed any argument, it returns a value of
-1. This number is an identity element for logand
because its binary representation consists entirely of ones. If
logand is passed just one argument, it returns that argument.
; 28-bit binary values
(logand 14 13) ; 14 = 0000 0000 0000 0000 0000 0000 1110
; 13 = 0000 0000 0000 0000 0000 0000 1101
=> 12 ; 12 = 0000 0000 0000 0000 0000 0000 1100
(logand 14 13 4) ; 14 = 0000 0000 0000 0000 0000 0000 1110
; 13 = 0000 0000 0000 0000 0000 0000 1101
; 4 = 0000 0000 0000 0000 0000 0000 0100
=> 4 ; 4 = 0000 0000 0000 0000 0000 0000 0100
(logand)
=> -1 ; -1 = 1111 1111 1111 1111 1111 1111 1111
|
logior is
passed just one argument, it returns that argument.
; 28-bit binary values
(logior 12 5) ; 12 = 0000 0000 0000 0000 0000 0000 1100
; 5 = 0000 0000 0000 0000 0000 0000 0101
=> 13 ; 13 = 0000 0000 0000 0000 0000 0000 1101
(logior 12 5 7) ; 12 = 0000 0000 0000 0000 0000 0000 1100
; 5 = 0000 0000 0000 0000 0000 0000 0101
; 7 = 0000 0000 0000 0000 0000 0000 0111
=> 15 ; 15 = 0000 0000 0000 0000 0000 0000 1111
|
logxor is passed just one argument, it returns that argument.
; 28-bit binary values
(logxor 12 5) ; 12 = 0000 0000 0000 0000 0000 0000 1100
; 5 = 0000 0000 0000 0000 0000 0000 0101
=> 9 ; 9 = 0000 0000 0000 0000 0000 0000 1001
(logxor 12 5 7) ; 12 = 0000 0000 0000 0000 0000 0000 1100
; 5 = 0000 0000 0000 0000 0000 0000 0101
; 7 = 0000 0000 0000 0000 0000 0000 0111
=> 14 ; 14 = 0000 0000 0000 0000 0000 0000 1110
|
(lognot 5)
=> -6
;; 5 = 0000 0000 0000 0000 0000 0000 0101
;; becomes
;; -6 = 1111 1111 1111 1111 1111 1111 1010
|
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These mathematical functions allow integers as well as floating point numbers as arguments.
(asin arg) is a number between
-pi/2
and
pi/2
(inclusive) whose sine is arg; if, however, arg
is out of range (outside [-1, 1]), then the result is a NaN.
(acos arg) is a number between 0 and
pi
(inclusive) whose cosine is arg; if, however, arg
is out of range (outside [-1, 1]), then the result is a NaN.
(atan arg) is a number between
-pi/2
and
pi/2
(exclusive) whose tangent is arg.
(log10 x)
== (log x 10), at least approximately.
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A deterministic computer program cannot generate true random numbers. For most purposes, pseudo-random numbers suffice. A series of pseudo-random numbers is generated in a deterministic fashion. The numbers are not truly random, but they have certain properties that mimic a random series. For example, all possible values occur equally often in a pseudo-random series.
In Emacs, pseudo-random numbers are generated from a "seed" number.
Starting from any given seed, the random function always
generates the same sequence of numbers. Emacs always starts with the
same seed value, so the sequence of values of random is actually
the same in each Emacs run! For example, in one operating system, the
first call to (random) after you start Emacs always returns
-1457731, and the second one always returns -7692030. This
repeatability is helpful for debugging.
If you want random numbers that don't always come out the same, execute
(random t). This chooses a new seed based on the current time of
day and on Emacs's process ID number.
If limit is a positive integer, the value is chosen to be nonnegative and less than limit.
If limit is t, it means to choose a new seed based on the
current time of day and on Emacs's process ID number.
On some machines, any integer representable in Lisp may be the result
of random. On other machines, the result can never be larger
than a certain maximum or less than a certain (negative) minimum.
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A string in Emacs Lisp is an array that contains an ordered sequence of characters. Strings are used as names of symbols, buffers, and files; to send messages to users; to hold text being copied between buffers; and for many other purposes. Because strings are so important, Emacs Lisp has many functions expressly for manipulating them. Emacs Lisp programs use strings more often than individual characters.
See section 21.6.14 Putting Keyboard Events in Strings, for special considerations for strings of keyboard character events.
4.1 String and Character Basics Basic properties of strings and characters. 4.2 The Predicates for Strings Testing whether an object is a string or char. 4.3 Creating Strings Functions to allocate new strings. 4.4 Modifying Strings Altering the contents of an existing string. 4.5 Comparison of Characters and Strings Comparing characters or strings. 4.6 Conversion of Characters and Strings Converting to and from characters and strings. 4.7 Formatting Strings format: Emacs's analogue ofprintf.4.8 Case Conversion in Lisp Case conversion functions. 4.9 The Case Table Customizing case conversion.
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Characters are represented in Emacs Lisp as integers; whether an integer is a character or not is determined only by how it is used. Thus, strings really contain integers.
The length of a string (like any array) is fixed, and cannot be altered once the string exists. Strings in Lisp are not terminated by a distinguished character code. (By contrast, strings in C are terminated by a character with ASCII code 0.)
Since strings are arrays, and therefore sequences as well, you can
operate on them with the general array and sequence functions.
(See section 6. Sequences, Arrays, and Vectors.) For example, you can access or
change individual characters in a string using the functions aref
and aset (see section 6.3 Functions that Operate on Arrays).
There are two text representations for non-ASCII characters in Emacs strings (and in buffers): unibyte and multibyte (see section 33.1 Text Representations). An ASCII character always occupies one byte in a string; in fact, when a string is all ASCII, there is no real difference between the unibyte and multibyte representations. For most Lisp programming, you don't need to be concerned with these two representations.
Sometimes key sequences are represented as strings. When a string is a key sequence, string elements in the range 128 to 255 represent meta characters (which are large integers) rather than character codes in the range 128 to 255.
Strings cannot hold characters that have the hyper, super or alt modifiers; they can hold ASCII control characters, but no other control characters. They do not distinguish case in ASCII control characters. If you want to store such characters in a sequence, such as a key sequence, you must use a vector instead of a string. See section 2.3.3 Character Type, for more information about the representation of meta and other modifiers for keyboard input characters.
Strings are useful for holding regular expressions. You can also
match regular expressions against strings (see section 34.3 Regular Expression Searching). The
functions match-string (see section 34.6.2 Simple Match Data Access) and
replace-match (see section 34.6.1 Replacing the Text that Matched) are useful for
decomposing and modifying strings based on regular expression matching.
Like a buffer, a string can contain text properties for the characters in it, as well as the characters themselves. See section 32.19 Text Properties. All the Lisp primitives that copy text from strings to buffers or other strings also copy the properties of the characters being copied.
See section 32. Text, for information about functions that display strings or copy them into buffers. See section 2.3.3 Character Type, and 2.3.8 String Type, for information about the syntax of characters and strings. See section 33. Non-ASCII Characters, for functions to convert between text representations and to encode and decode character codes.
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For more information about general sequence and array predicates, see 6. Sequences, Arrays, and Vectors, and 6.2 Arrays.
t if object is a string, nil
otherwise.
t if object is a string or a
character (i.e., an integer), nil otherwise.
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The following functions create strings, either from scratch, or by putting strings together, or by taking them apart.
(make-string 5 ?x)
=> "xxxxx"
(make-string 0 ?x)
=> ""
|
Other functions to compare with this one include char-to-string
(see section 4.6 Conversion of Characters and Strings), make-vector (see section 6.4 Vectors), and
make-list (see section 5.5 Building Cons Cells and Lists).
(string ?a ?b ?c)
=> "abc"
|
(substring "abcdefg" 0 3)
=> "abc"
|
Here the index for `a' is 0, the index for `b' is 1, and the
index for `c' is 2. Thus, three letters, `abc', are copied
from the string "abcdefg". The index 3 marks the character
position up to which the substring is copied. The character whose index
is 3 is actually the fourth character in the string.
A negative number counts from the end of the string, so that -1 signifies the index of the last character of the string. For example:
(substring "abcdefg" -3 -1)
=> "ef"
|
In this example, the index for `e' is -3, the index for `f' is -2, and the index for `g' is -1. Therefore, `e' and `f' are included, and `g' is excluded.
When nil is used as an index, it stands for the length of the
string. Thus,
(substring "abcdefg" -3 nil)
=> "efg"
|
Omitting the argument end is equivalent to specifying nil.
It follows that (substring string 0) returns a copy of all
of string.
(substring "abcdefg" 0)
=> "abcdefg"
|
But we recommend copy-sequence for this purpose (see section 6.1 Sequences).
If the characters copied from string have text properties, the properties are copied into the new string also. See section 32.19 Text Properties.
substring also accepts a vector for the first argument.
For example:
(substring [a b (c) "d"] 1 3)
=> [b (c)]
|
A wrong-type-argument error is signaled if either start or
end is not an integer or nil. An args-out-of-range
error is signaled if start indicates a character following
end, or if either integer is out of range for string.
Contrast this function with buffer-substring (see section 32.2 Examining Buffer Contents), which returns a string containing a portion of the text in
the current buffer. The beginning of a string is at index 0, but the
beginning of a buffer is at index 1.
concat receives no arguments, it
returns an empty string.
(concat "abc" "-def")
=> "abc-def"
(concat "abc" (list 120 121) [122])
=> "abcxyz"
;; |
The concat function always constructs a new string that is
not eq to any existing string.
In Emacs versions before 21, when an argument was an integer (not a
sequence of integers), it was converted to a string of digits making up
the decimal printed representation of the integer. This obsolete usage
no longer works. The proper way to convert an integer to its decimal
printed form is with format (see section 4.7 Formatting Strings) or
number-to-string (see section 4.6 Conversion of Characters and Strings).
For information about other concatenation functions, see the
description of mapconcat in 12.6 Mapping Functions,
vconcat in 6.4 Vectors, and append in 5.5 Building Cons Cells and Lists.
split-string.
If separators is nil (or omitted),
the default is "[ \f\t\n\r\v]+".
For example,
(split-string "Soup is good food" "o")
=> ("S" "up is g" "" "d f" "" "d")
(split-string "Soup is good food" "o+")
=> ("S" "up is g" "d f" "d")
|
When there is a match adjacent to the beginning or end of the string, this does not cause a null string to appear at the beginning or end of the list:
(split-string "out to moo" "o+")
=> ("ut t" " m")
|
Empty matches do count, when not adjacent to another match:
(split-string "Soup is good food" "o*")
=>("S" "u" "p" " " "i" "s" " " "g" "d" " " "f" "d")
(split-string "Nice doggy!" "")
=>("N" "i" "c" "e" " " "d" "o" "g" "g" "y" "!")
|
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The most basic way to alter the contents of an existing string is with
aset (see section 6.3 Functions that Operate on Arrays). (aset string
idx char) stores char into string at index
idx. Each character occupies one or more bytes, and if char
needs a different number of bytes from the character already present at
that index, aset signals an error.
A more powerful function is store-substring:
Since it is impossible to change the length of an existing string, it is an error if obj doesn't fit within string's actual length, or if any new character requires a different number of bytes from the character currently present at that point in string.
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t if the arguments represent the same
character, nil otherwise. This function ignores differences
in case if case-fold-search is non-nil.
(char-equal ?x ?x)
=> t
(let ((case-fold-search nil))
(char-equal ?x ?X))
=> nil
|
t if the characters of the two strings
match exactly.
Case is always significant, regardless of case-fold-search.
(string= "abc" "abc")
=> t
(string= "abc" "ABC")
=> nil
(string= "ab" "ABC")
=> nil
|
The function string= ignores the text properties of the two
strings. When equal (see section 2.7 Equality Predicates) compares two
strings, it uses string=.
If the strings contain non-ASCII characters, and one is unibyte while the other is multibyte, then they cannot be equal. See section 33.1 Text Representations.
string-equal is another name for string=.
t. If the lesser character is the one from
string2, then string1 is greater, and this function returns
nil. If the two strings match entirely, the value is nil.
Pairs of characters are compared according to their character codes. Keep in mind that lower case letters have higher numeric values in the ASCII character set than their upper case counterparts; digits and many punctuation characters have a lower numeric value than upper case letters. An ASCII character is less than any non-ASCII character; a unibyte non-ASCII character is always less than any multibyte non-ASCII character (see section 33.1 Text Representations).
(string< "abc" "abd")
=> t
(string< "abd" "abc")
=> nil
(string< "123" "abc")
=> t
|
When the strings have different lengths, and they match up to the
length of string1, then the result is t. If they match up
to the length of string2, the result is nil. A string of
no characters is less than any other string.
(string< "" "abc")
=> t
(string< "ab" "abc")
=> t
(string< "abc" "")
=> nil
(string< "abc" "ab")
=> nil
(string< "" "")
=> nil
|
string-lessp is another name for string<.
nil means
the end of the string). The specified part of string2 runs from
index start2 up to index end2 (nil means the end of
the string).
The strings are both converted to multibyte for the comparison
(see section 33.1 Text Representations) so that a unibyte string can be equal to
a multibyte string. If ignore-case is non-nil, then case
is ignored, so that upper case letters can be equal to lower case letters.
If the specified portions of the two strings match, the value is
t. Otherwise, the value is an integer which indicates how many
leading characters agree, and which string is less. Its absolute value
is one plus the number of characters that agree at the beginning of the
two strings. The sign is negative if string1 (or its specified
portion) is less.
assoc, except that key must be a
string, and comparison is done using compare-strings, ignoring
case differences. See section 5.8 Association Lists.
assoc, except that key must be a
string, and comparison is done using compare-strings.
Case differences are significant.
See also compare-buffer-substrings in 32.3 Comparing Text, for
a way to compare text in buffers. The function string-match,
which matches a regular expression against a string, can be used
for a kind of string comparison; see 34.3 Regular Expression Searching.
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This section describes functions for conversions between characters,
strings and integers. format and prin1-to-string
(see section 19.5 Output Functions) can also convert Lisp objects into strings.
read-from-string (see section 19.3 Input Functions) can "convert" a
string representation of a Lisp object into an object. The functions
string-make-multibyte and string-make-unibyte convert the
text representation of a string (see section 33.2 Converting Text Representations).
See section 24. Documentation, for functions that produce textual descriptions
of text characters and general input events
(single-key-description and text-char-description). These
functions are used primarily for making help messages.
string is more general. See section 4.3 Creating Strings.
(string-to-char "ABC")
=> 65
(string-to-char "xyz")
=> 120
(string-to-char "")
=> 0
(string-to-char "\000")
=> 0
|
This function may be eliminated in the future if it does not seem useful enough to retain.
(number-to-string 256)
=> "256"
(number-to-string -23)
=> "-23"
(number-to-string -23.5)
=> "-23.5"
|
int-to-string is a semi-obsolete alias for this function.
See also the function format in 4.7 Formatting Strings.
nil, integers are converted
in that base. If base is nil, then base ten is used.
Floating point conversion always uses base ten; we have not implemented
other radices for floating point numbers, because that would be much
more work and does not seem useful. If string looks like an
integer but its value is too large to fit into a Lisp integer,
string-to-number returns a floating point result.
The parsing skips spaces and tabs at the beginning of string, then reads as much of string as it can interpret as a number. (On some systems it ignores other whitespace at the beginning, not just spaces and tabs.) If the first character after the ignored whitespace is neither a digit, nor a plus or minus sign, nor the leading dot of a floating point number, this function returns 0.
(string-to-number "256")
=> 256
(string-to-number "25 is a perfect square.")
=> 25
(string-to-number "X256")
=> 0
(string-to-number "-4.5")
=> -4.5
(string-to-number "1e5")
=> 100000.0
|
Here are some other functions that can convert to or from a string:
concat
concat can convert a vector or a list into a string.
See section 4.3 Creating Strings.
vconcat
vconcat can convert a string into a vector. See section 6.5 Functions for Vectors.
append
append can convert a string into a list. See section 5.5 Building Cons Cells and Lists.
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Formatting means constructing a string by substitution of computed values at various places in a constant string. This constant string controls how the other values are printed, as well as where they appear; it is called a format string.
Formatting is often useful for computing messages to be displayed. In
fact, the functions message and error provide the same
formatting feature described here; they differ from format only
in how they use the result of formatting.
The characters in string, other than the format specifications, are copied directly into the output; starting in Emacs 21, if they have text properties, these are copied into the output also.
A format specification is a sequence of characters beginning with a
`%'. Thus, if there is a `%d' in string, the
format function replaces it with the printed representation of
one of the values to be formatted (one of the arguments objects).
For example:
(format "The value of fill-column is %d." fill-column)
=> "The value of fill-column is 72."
|
If string contains more than one format specification, the format specifications correspond to successive values from objects. Thus, the first format specification in string uses the first such value, the second format specification uses the second such value, and so on. Any extra format specifications (those for which there are no corresponding values) cause unpredictable behavior. Any extra values to be formatted are ignored.
Certain format specifications require values of particular types. If you supply a value that doesn't fit the requirements, an error is signaled.
Here is a table of valid format specifications:
princ, not
prin1---see section 19.5 Output Functions). Thus, strings are represented
by their contents alone, with no `"' characters, and symbols appear
without `\' characters.
Starting in Emacs 21, if the object is a string, its text properties are copied into the output. The text properties of the `%s' itself are also copied, but those of the object take priority.
If there is no corresponding object, the empty string is used.
prin1---see section 19.5 Output Functions). Thus, strings are enclosed in `"' characters, and
`\' characters appear where necessary before special characters.
If there is no corresponding object, the empty string is used.
(format "%% %d" 30) returns "% 30".
Any other format character results in an `Invalid format operation' error.
Here are several examples:
(format "The name of this buffer is %s." (buffer-name))
=> "The name of this buffer is strings.texi."
(format "The buffer object prints as %s." (current-buffer))
=> "The buffer object prints as strings.texi."
(format "The octal value of %d is %o,
and the hex value is %x." 18 18 18)
=> "The octal value of 18 is 22,
and the hex value is 12."
|
All the specification characters allow an optional numeric prefix between the `%' and the character. The optional numeric prefix defines the minimum width for the object. If the printed representation of the object contains fewer characters than this, then it is padded. The padding is on the left if the prefix is positive (or starts with zero) and on the right if the prefix is negative. The padding character is normally a space, but if the numeric prefix starts with a zero, zeros are used for padding. Here are some examples of padding:
(format "%06d is padded on the left with zeros" 123)
=> "000123 is padded on the left with zeros"
(format "%-6d is padded on the right" 123)
=> "123 is padded on the right"
|
format never truncates an object's printed representation, no
matter what width you specify. Thus, you can use a numeric prefix to
specify a minimum spacing between columns with no risk of losing
information.
In the following three examples, `%7s' specifies a minimum width
of 7. In the first case, the string inserted in place of `%7s' has
only 3 letters, so 4 blank spaces are inserted for padding. In the
second case, the string "specification" is 13 letters wide but is
not truncated. In the third case, the padding is on the right.
(format "The word `%7s' actually has %d letters in it."
"foo" (length "foo"))
=> "The word ` foo' actually has 3 letters in it."
(format "The word `%7s' actually has %d letters in it."
"specification" (length "specification"))
=> "The word `specification' actually has 13 letters in it."
(format "The word `%-7s' actually has %d letters in it."
"foo" (length "foo"))
=> "The word `foo ' actually has 3 letters in it."
|
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The character case functions change the case of single characters or of the contents of strings. The functions normally convert only alphabetic characters (the letters `A' through `Z' and `a' through `z', as well as non-ASCII letters); other characters are not altered. You can specify a different case conversion mapping by specifying a case table (see section 4.9 The Case Table).
These functions do not modify the strings that are passed to them as arguments.
The examples below use the characters `X' and `x' which have ASCII codes 88 and 120 respectively.
When the argument to downcase is a string, the function creates
and returns a new string in which each letter in the argument that is
upper case is converted to lower case. When the argument to
downcase is a character, downcase returns the
corresponding lower case character. This value is an integer. If the
original character is lower case, or is not a letter, then the value
equals the original character.
(downcase "The cat in the hat")
=> "the cat in the hat"
(downcase ?X)
=> 120
|
When the argument to upcase is a string, the function creates
and returns a new string in which each letter in the argument that is
lower case is converted to upper case.
When the argument to upcase is a character, upcase
returns the corresponding upper case character. This value is an integer.
If the original character is upper case, or is not a letter, then the
value returned equals the original character.
(upcase "The cat in the hat")
=> "THE CAT IN THE HAT"
(upcase ?x)
=> 88
|
The definition of a word is any sequence of consecutive characters that are assigned to the word constituent syntax class in the current syntax table (see section 35.2.1 Table of Syntax Classes).
When the argument to capitalize is a character, capitalize
has the same result as upcase.
(capitalize "The cat in the hat")
=> "The Cat In The Hat"
(capitalize "THE 77TH-HATTED CAT")
=> "The 77th-Hatted Cat"
(capitalize ?x)
=> 88
|
The definition of a word is any sequence of consecutive characters that are assigned to the word constituent syntax class in the current syntax table (see section 35.2.1 Table of Syntax Classes).
(upcase-initials "The CAT in the hAt")
=> "The CAT In The HAt"
|
See section 4.5 Comparison of Characters and Strings, for functions that compare strings; some of them ignore case differences, or can optionally ignore case differences.
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You can customize case conversion by installing a special case table. A case table specifies the mapping between upper case and lower case letters. It affects both the case conversion functions for Lisp objects (see the previous section) and those that apply to text in the buffer (see section 32.18 Case Changes). Each buffer has a case table; there is also a standard case table which is used to initialize the case table of new buffers.
A case table is a char-table (see section 6.6 Char-Tables) whose subtype is
case-table. This char-table maps each character into the
corresponding lower case character. It has three extra slots, which
hold related tables:
In simple cases, all you need to specify is the mapping to lower-case; the three related tables will be calculated automatically from that one.
For some languages, upper and lower case letters are not in one-to-one correspondence. There may be two different lower case letters with the same upper case equivalent. In these cases, you need to specify the maps for both lower case and upper case.
The extra table canonicalize maps each character to a canonical equivalent; any two characters that are related by case-conversion have the same canonical equivalent character. For example, since `a' and `A' are related by case-conversion, they should have the same canonical equivalent character (which should be either `a' for both of them, or `A' for both of them).
The extra table equivalences is a map that cyclicly permutes each equivalence class (of characters with the same canonical equivalent). (For ordinary ASCII, this would map `a' into `A' and `A' into `a', and likewise for each set of equivalent characters.)
When you construct a case table, you can provide nil for
canonicalize; then Emacs fills in this slot from the lower case
and upper case mappings. You can also provide nil for
equivalences; then Emacs fills in this slot from
canonicalize. In a case table that is actually in use, those
components are non-nil. Do not try to specify equivalences
without also specifying canonicalize.
Here are the functions for working with case tables:
nil if object is a valid case
table.
The following three functions are convenient subroutines for packages that define non-ASCII character sets. They modify the specified case table case-table; they also modify the standard syntax table. See section 35. Syntax Tables. Normally you would use these functions to change the standard case table.
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A list represents a sequence of zero or more elements (which may be any Lisp objects). The important difference between lists and vectors is that two or more lists can share part of their structure; in addition, you can insert or delete elements in a list without copying the whole list.
5.1 Lists and Cons Cells How lists are made out of cons cells. 5.2 Lists as Linked Pairs of Boxes Graphical notation to explain lists. 5.3 Predicates on Lists Is this object a list? Comparing two lists. 5.4 Accessing Elements of Lists Extracting the pieces of a list. 5.5 Building Cons Cells and Lists Creating list structure. 5.6 Modifying Existing List Structure Storing new pieces into an existing list. 5.7 Using Lists as Sets A list can represent a finite mathematical set. 5.8 Association Lists A list can represent a finite relation or mapping.
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Lists in Lisp are not a primitive data type; they are built up from cons cells. A cons cell is a data object that represents an ordered pair. That is, it has two slots, and each slot holds, or refers to, some Lisp object. One slot is known as the CAR, and the other is known as the CDR. (These names are traditional; see 2.3.6 Cons Cell and List Types.) CDR is pronounced "could-er."
We say that "the CAR of this cons cell is" whatever object its CAR slot currently holds, and likewise for the CDR.
A list is a series of cons cells "chained together," so that each
cell refers to the next one. There is one cons cell for each element of
the list. By convention, the CARs of the cons cells hold the
elements of the list, and the CDRs are used to chain the list: the
CDR slot of each cons cell refers to the following cons cell. The
CDR of the last cons cell is nil. This asymmetry between
the CAR and the CDR is entirely a matter of convention; at the
level of cons cells, the CAR and CDR slots have the same
characteristics.
Because most cons cells are used as part of lists, the phrase list structure has come to mean any structure made out of cons cells.
The symbol nil is considered a list as well as a symbol; it is
the list with no elements. For convenience, the symbol nil is
considered to have nil as its CDR (and also as its
CAR).
The CDR of any nonempty list l is a list containing all the elements of l except the first.
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A cons cell can be illustrated as a pair of boxes. The first box
represents the CAR and the second box represents the CDR.
Here is an illustration of the two-element list, (tulip lily),
made from two cons cells:
--------------- --------------- | car | cdr | | car | cdr | | tulip | o---------->| lily | nil | | | | | | | --------------- --------------- |
Each pair of boxes represents a cons cell. Each box "refers to",
"points to" or "holds" a Lisp object. (These terms are
synonymous.) The first box, which describes the CAR of the first
cons cell, contains the symbol tulip. The arrow from the
CDR box of the first cons cell to the second cons cell indicates
that the CDR of the first cons cell is the second cons cell.
The same list can be illustrated in a different sort of box notation like this:
--- --- --- ---
| | |--> | | |--> nil
--- --- --- ---
| |
| |
--> tulip --> lily
|
Here is a more complex illustration, showing the three-element list,
((pine needles) oak maple), the first element of which is a
two-element list:
--- --- --- --- --- ---
| | |--> | | |--> | | |--> nil
--- --- --- --- --- ---
| | |
| | |
| --> oak --> maple
|
| --- --- --- ---
--> | | |--> | | |--> nil
--- --- --- ---
| |
| |
--> pine --> needles
|
The same list represented in the first box notation looks like this:
-------------- -------------- --------------
| car | cdr | | car | cdr | | car | cdr |
| o | o------->| oak | o------->| maple | nil |
| | | | | | | | | |
-- | --------- -------------- --------------
|
|
| -------------- ----------------
| | car | cdr | | car | cdr |
------>| pine | o------->| needles | nil |
| | | | | |
-------------- ----------------
|
See section 2.3.6 Cons Cell and List Types, for the read and print syntax of cons cells and lists, and for more "box and arrow" illustrations of lists.
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The following predicates test whether a Lisp object is an atom, is a
cons cell or is a list, or whether it is the distinguished object
nil. (Many of these predicates can be defined in terms of the
others, but they are used so often that it is worth having all of them.)
t if object is a cons cell, nil
otherwise. nil is not a cons cell, although it is a list.
t if object is an atom, nil
otherwise. All objects except cons cells are atoms. The symbol
nil is an atom and is also a list; it is the only Lisp object
that is both.
(atom object) == (not (consp object)) |
t if object is a cons cell or
nil. Otherwise, it returns nil.
(listp '(1))
=> t
(listp '())
=> t
|
listp: it returns t if
object is not a list. Otherwise, it returns nil.
(listp object) == (not (nlistp object)) |
t if object is nil, and
returns nil otherwise. This function is identical to not,
but as a matter of clarity we use null when object is
considered a list and not when it is considered a truth value
(see not in 10.3 Constructs for Combining Conditions).
(null '(1))
=> nil
(null '())
=> t
|
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As a special case, if cons-cell is nil, then car
is defined to return nil; therefore, any list is a valid argument
for car. An error is signaled if the argument is not a cons cell
or nil.
(car '(a b c))
=> a
(car '())
=> nil
|
As a special case, if cons-cell is nil, then cdr
is defined to return nil; therefore, any list is a valid argument
for cdr. An error is signaled if the argument is not a cons cell
or nil.
(cdr '(a b c))
=> (b c)
(cdr '())
=> nil
|
nil otherwise. This is in contrast
to car, which signals an error if object is not a list.
(car-safe object)
==
(let ((x object))
(if (consp x)
(car x)
nil))
|
nil otherwise.
This is in contrast to cdr, which signals an error if
object is not a list.
(cdr-safe object)
==
(let ((x object))
(if (consp x)
(cdr x)
nil))
|
It operates on the list which is stored in the symbol listname. It removes this element from the list by setting listname to the CDR of its old value--but it also returns the CAR of that list, which is the element being removed.
x
=> (a b c)
(pop x)
=> a
x
=> (b c)
|
nil.
If n is negative, nth returns the first element of
list.
(nth 2 '(1 2 3 4))
=> 3
(nth 10 '(1 2 3 4))
=> nil
(nth -3 '(1 2 3 4))
=> 1
(nth n x) == (car (nthcdr n x))
|
The function elt is similar, but applies to any kind of sequence.
For historical reasons, it takes its arguments in the opposite order.
See section 6.1 Sequences.
If n is zero or negative, nthcdr returns all of
list. If the length of list is n or less,
nthcdr returns nil.
(nthcdr 1 '(1 2 3 4))
=> (2 3 4)
(nthcdr 10 '(1 2 3 4))
=> nil
(nthcdr -3 '(1 2 3 4))
=> (1 2 3 4)
|
car of this link is the list's last element. If list is
null, nil is returned. If n is non-nil the
n-th-to-last link is returned instead, or the whole list if
n is bigger than list's length.
If list is not really a list, safe-length returns 0. If
list is circular, it returns a finite value which is at least the
number of distinct elements.
The most common way to compute the length of a list, when you are not
worried that it may be circular, is with length. See section 6.1 Sequences.
(car (car cons-cell)).
(car (cdr cons-cell))
or (nth 1 cons-cell).
(cdr (car cons-cell)).
(cdr (cdr cons-cell))
or (nthcdr 2 cons-cell).
(append (butlast x n)
(last x n)) will return a list equal to x.
butlast that works by destructively
modifying the cdr of the appropriate element, rather than
making a copy of the list.
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Many functions build lists, as lists reside at the very heart of Lisp.
cons is the fundamental list-building function; however, it is
interesting to note that list is used more times in the source
code for Emacs than cons.
(cons 1 '(2))
=> (1 2)
(cons 1 '())
=> (1)
(cons 1 2)
=> (1 . 2)
|
cons is often used to add a single element to the front of a
list. This is called consing the element onto the list.
(1)
For example:
(setq list (cons newelt list)) |
Note that there is no conflict between the variable named list
used in this example and the function named list described below;
any symbol can serve both purposes.
(setq listname (cons newelt listname)).
It is new in Emacs 21.
(setq l '(a b))
=> (a b)
(push 'c l)
=> (c a b)
l
=> (c a b)
|
nil-terminated. If no objects
are given, the empty list is returned.
(list 1 2 3 4 5)
=> (1 2 3 4 5)
(list 1 2 '(3 4 5) 'foo)
=> (1 2 (3 4 5) foo)
(list)
=> nil
|
make-list with
make-string (see section 4.3 Creating Strings).
(make-list 3 'pigs)
=> (pigs pigs pigs)
(make-list 0 'pigs)
=> nil
(setq l (make-list 3 '(a b))
=> ((a b) (a b) (a b))
(eq (car l) (cadr l))
=> t
|
nconc in 5.6.3 Functions that Rearrange Lists, for a way to join
lists with no copying.)
More generally, the final argument to append may be any Lisp
object. The final argument is not copied or converted; it becomes the
CDR of the last cons cell in the new list. If the final argument
is itself a list, then its elements become in effect elements of the
result list. If the final element is not a list, the result is a
"dotted list" since its final CDR is not nil as required
in a true list.
The append function also allows integers as arguments. It
converts them to strings of digits, making up the decimal print
representation of the integer, and then uses the strings instead of the
original integers. Don't use this feature; we plan to eliminate
it. If you already use this feature, change your programs now! The
proper way to convert an integer to a decimal number in this way is with
format (see section 4.7 Formatting Strings) or number-to-string
(see section 4.6 Conversion of Characters and Strings).
Here is an example of using append:
(setq trees '(pine oak))
=> (pine oak)
(setq more-trees (append '(maple birch) trees))
=> (maple birch pine oak)
trees
=> (pine oak)
more-trees
=> (maple birch pine oak)
(eq trees (cdr (cdr more-trees)))
=> t
|
You can see how append works by looking at a box diagram. The
variable trees is set to the list (pine oak) and then the
variable more-trees is set to the list (maple birch pine
oak). However, the variable trees continues to refer to the
original list:
more-trees trees
| |
| --- --- --- --- -> --- --- --- ---
--> | | |--> | | |--> | | |--> | | |--> nil
--- --- --- --- --- --- --- ---
| | | |
| | | |
--> maple -->birch --> pine --> oak
|
An empty sequence contributes nothing to the value returned by
append. As a consequence of this, a final nil argument
forces a copy of the previous argument:
trees
=> (pine oak)
(setq wood (append trees nil))
=> (pine oak)
wood
=> (pine oak)
(eq wood trees)
=> nil
|
This once was the usual way to copy a list, before the function
copy-sequence was invented. See section 6. Sequences, Arrays, and Vectors.
Here we show the use of vectors and strings as arguments to append:
(append [a b] "cd" nil)
=> (a b 99 100)
|
With the help of apply (see section 12.5 Calling Functions), we can append
all the lists in a list of lists:
(apply 'append '((a b c) nil (x y z) nil))
=> (a b c x y z)
|
If no sequences are given, nil is returned:
(append)
=> nil
|
Here are some examples where the final argument is not a list:
(append '(x y) 'z)
=> (x y . z)
(append '(x y) [z])
=> (x y . [z])
|
The second example shows that when the final argument is a sequence but not a list, the sequence's elements do not become elements of the resulting list. Instead, the sequence becomes the final CDR, like any other non-list final argument.
(setq x '(1 2 3 4))
=> (1 2 3 4)
(reverse x)
=> (4 3 2 1)
x
=> (1 2 3 4)
|
eq to object. The letter `q' in remq
says that it uses eq to compare object against the elements
of list.
(setq sample-list '(a b c a b c))
=> (a b c a b c)
(remq 'a sample-list)
=> (b c b c)
sample-list
=> (a b c a b c)
|
delq offers a way to perform this operation
destructively. See 5.7 Using Lists as Sets.
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You can modify the CAR and CDR contents of a cons cell with the
primitives setcar and setcdr. We call these "destructive"
operations because they change existing list structure.
Common Lisp note: Common Lisp uses functionsrplacaandrplacdto alter list structure; they change structure the same way assetcarandsetcdr, but the Common Lisp functions return the cons cell whilesetcarandsetcdrreturn the new CAR or CDR.
5.6.1 Altering List Elements with setcarReplacing an element in a list. 5.6.2 Altering the CDR of a List Replacing part of the list backbone. This can be used to remove or add elements. 5.6.3 Functions that Rearrange Lists Reordering the elements in a list; combining lists.
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setcar
Changing the CAR of a cons cell is done with setcar. When
used on a list, setcar replaces one element of a list with a
different element.
(setq x '(1 2))
=> (1 2)
(setcar x 4)
=> 4
x
=> (4 2)
|
When a cons cell is part of the shared structure of several lists, storing a new CAR into the cons changes one element of each of these lists. Here is an example:
;; Create two lists that are partly shared.
(setq x1 '(a b c))
=> (a b c)
(setq x2 (cons 'z (cdr x1)))
=> (z b c)
;; Replace the CAR of a shared link.
(setcar (cdr x1) 'foo)
=> foo
x1 ; Both lists are changed.
=> (a foo c)
x2
=> (z foo c)
;; Replace the CAR of a link that is not shared.
(setcar x1 'baz)
=> baz
x1 ; Only one list is changed.
=> (baz foo c)
x2
=> (z foo c)
|
Here is a graphical depiction of the shared structure of the two lists
in the variables x1 and x2, showing why replacing b
changes them both:
--- --- --- --- --- ---
x1---> | | |----> | | |--> | | |--> nil
--- --- --- --- --- ---
| --> | |
| | | |
--> a | --> b --> c
|
--- --- |
x2--> | | |--
--- ---
|
|
--> z
|
Here is an alternative form of box diagram, showing the same relationship:
x1:
-------------- -------------- --------------
| car | cdr | | car | cdr | | car | cdr |
| a | o------->| b | o------->| c | nil |
| | | -->| | | | | |
-------------- | -------------- --------------
|
x2: |
-------------- |
| car | cdr | |
| z | o----
| | |
--------------
|
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The lowest-level primitive for modifying a CDR is setcdr:
Here is an example of replacing the CDR of a list with a different list. All but the first element of the list are removed in favor of a different sequence of elements. The first element is unchanged, because it resides in the CAR of the list, and is not reached via the CDR.
(setq x '(1 2 3))
=> (1 2 3)
(setcdr x '(4))
=> (4)
x
=> (1 4)
|
You can delete elements from the middle of a list by altering the
CDRs of the cons cells in the list. For example, here we delete
the second element, b, from the list (a b c), by changing
the CDR of the first cons cell:
(setq x1 '(a b c))
=> (a b c)
(setcdr x1 (cdr (cdr x1)))
=> (c)
x1
=> (a c)
|
Here is the result in box notation:
--------------------
| |
-------------- | -------------- | --------------
| car | cdr | | | car | cdr | -->| car | cdr |
| a | o----- | b | o-------->| c | nil |
| | | | | | | | |
-------------- -------------- --------------
|
The second cons cell, which previously held the element b, still
exists and its CAR is still b, but it no longer forms part
of this list.
It is equally easy to insert a new element by changing CDRs:
(setq x1 '(a b c))
=> (a b c)
(setcdr x1 (cons 'd (cdr x1)))
=> (d b c)
x1
=> (a d b c)
|
Here is this result in box notation:
-------------- ------------- -------------
| car | cdr | | car | cdr | | car | cdr |
| a | o | -->| b | o------->| c | nil |
| | | | | | | | | | |
--------- | -- | ------------- -------------
| |
----- --------
| |
| --------------- |
| | car | cdr | |
-->| d | o------
| | |
---------------
|
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Here are some functions that rearrange lists "destructively" by modifying the CDRs of their component cons cells. We call these functions "destructive" because they chew up the original lists passed to them as arguments, relinking their cons cells to form a new list that is the returned value.
See delq, in 5.7 Using Lists as Sets, for another function
that modifies cons cells.
append (see section 5.5 Building Cons Cells and Lists), the lists are
not copied. Instead, the last CDR of each of the
lists is changed to refer to the following list. The last of the
lists is not altered. For example:
(setq x '(1 2 3))
=> (1 2 3)
(nconc x '(4 5))
=> (1 2 3 4 5)
x
=> (1 2 3 4 5)
|
Since the last argument of nconc is not itself modified, it is
reasonable to use a constant list, such as '(4 5), as in the
above example. For the same reason, the last argument need not be a
list:
(setq x '(1 2 3))
=> (1 2 3)
(nconc x 'z)
=> (1 2 3 . z)
x
=> (1 2 3 . z)
|
However, the other arguments (all but the last) must be lists.
A common pitfall is to use a quoted constant list as a non-last
argument to nconc. If you do this, your program will change
each time you run it! Here is what happens:
(defun add-foo (x) ; We want this function to add
(nconc '(foo) x)) ; |
reverse, nreverse alters its argument by reversing
the CDRs in the cons cells forming the list. The cons cell that
used to be the last one in list becomes the first cons cell of the
value.
For example:
(setq x '(a b c))
=> (a b c)
x
=> (a b c)
(nreverse x)
=> (c b a)
;; The cons cell that was first is now last.
x
=> (a)
|
To avoid confusion, we usually store the result of nreverse
back in the same variable which held the original list:
(setq x (nreverse x)) |
Here is the nreverse of our favorite example, (a b c),
presented graphically:
Original list head: Reversed list:
------------- ------------- ------------
| car | cdr | | car | cdr | | car | cdr |
| a | nil |<-- | b | o |<-- | c | o |
| | | | | | | | | | | | |
------------- | --------- | - | -------- | -
| | | |
------------- ------------
|
The argument predicate must be a function that accepts two
arguments. It is called with two elements of list. To get an
increasing order sort, the predicate should return t if the
first element is "less than" the second, or nil if not.
The comparison function predicate must give reliable results for
any given pair of arguments, at least within a single call to
sort. It must be antisymmetric; that is, if a is
less than b, b must not be less than a. It must be
transitive---that is, if a is less than b, and b
is less than c, then a must be less than c. If you
use a comparison function which does not meet these requirements, the
result of sort is unpredictable.
The destructive aspect of sort is that it rearranges the cons
cells forming list by changing CDRs. A nondestructive sort
function would create new cons cells to store the elements in their
sorted order. If you wish to make a sorted copy without destroying the
original, copy it first with copy-sequence and then sort.
Sorting does not change the CARs of the cons cells in list;
the cons cell that originally contained the element a in
list still has a in its CAR after sorting, but it now
appears in a different position in the list due to the change of
CDRs. For example:
(setq nums '(1 3 2 6 5 4 0))
=> (1 3 2 6 5 4 0)
(sort nums '<)
=> (0 1 2 3 4 5 6)
nums
=> (1 2 3 4 5 6)
|
Warning: Note that the list in nums no longer contains
0; this is the same cons cell that it was before, but it is no longer
the first one in the list. Don't assume a variable that formerly held
the argument now holds the entire sorted list! Instead, save the result
of sort and use that. Most often we store the result back into
the variable that held the original list:
(setq nums (sort nums '<)) |
See section 32.15 Sorting Text, for more functions that perform sorting.
See documentation in 24.2 Access to Documentation Strings, for a
useful example of sort.
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A list can represent an unordered mathematical set--simply consider a
value an element of a set if it appears in the list, and ignore the
order of the list. To form the union of two sets, use append (as
long as you don't mind having duplicate elements). Other useful
functions for sets include memq and delq, and their
equal versions, member and delete.
Common Lisp note: Common Lisp has functionsunion(which avoids duplicate elements) andintersectionfor set operations, but GNU Emacs Lisp does not have them. You can write them in Lisp if you wish.
memq returns a list starting with the
first occurrence of object. Otherwise, it returns nil.
The letter `q' in memq says that it uses eq to
compare object against the elements of the list. For example:
(memq 'b '(a b c b a))
=> (b c b a)
(memq '(2) '((1) (2))) ; |
member, except that it ignores
differences in letter-case and text representation: upper-case and
lower-case letters are treated as equal, and unibyte strings are
converted to multibyte prior to comparison.
eq to
object from list. The letter `q' in delq says
that it uses eq to compare object against the elements of
the list, like memq and remq.
When delq deletes elements from the front of the list, it does so
simply by advancing down the list and returning a sublist that starts
after those elements:
(delq 'a '(a b c)) == (cdr '(a b c)) |
When an element to be deleted appears in the middle of the list, removing it involves changing the CDRs (see section 5.6.2 Altering the CDR of a List).
(setq sample-list '(a b c (4)))
=> (a b c (4))
(delq 'a sample-list)
=> (b c (4))
sample-list
=> (a b c (4))
(delq 'c sample-list)
=> (a b (4))
sample-list
=> (a b (4))
|
Note that (delq 'c sample-list) modifies sample-list to
splice out the third element, but (delq 'a sample-list) does not
splice anything--it just returns a shorter list. Don't assume that a
variable which formerly held the argument list now has fewer
elements, or that it still holds the original list! Instead, save the
result of delq and use that. Most often we store the result back
into the variable that held the original list:
(setq flowers (delq 'rose flowers)) |
In the following example, the (4) that delq attempts to match
and the (4) in the sample-list are not eq:
(delq '(4) sample-list)
=> (a c (4))
|
The following two functions are like memq and delq but use
equal rather than eq to compare elements. See section 2.7 Equality Predicates.
member tests to see whether object is a member
of list, comparing members with object using equal.
If object is a member, member returns a list starting with
its first occurrence in list. Otherwise, it returns nil.
Compare this with memq:
(member '(2) '((1) (2))) ; |
sequence is a list, this function destructively removes all
elements equal to object from sequence. For lists,
delete is to delq as member is to memq: it
uses equal to compare elements with object, like
member; when it finds an element that matches, it removes the
element just as delq would.
If sequence is a vector or string, delete returns a copy
of sequence with all elements equal to object
removed.
For example:
(delete '(2) '((2) (1) (2)))
=> ((1))
(delete '(2) [(2) (1) (2)])
=> [(1)]
|
delete. If
returns a copy of sequence, a list, vector, or string, with
elements equal to object removed. For example:
(remove '(2) '((2) (1) (2)))
=> ((1))
(remove '(2) [(2) (1) (2)])
=> [(1)]
|
Common Lisp note: The functionsmember,deleteandremovein GNU Emacs Lisp are derived from Maclisp, not Common Lisp. The Common Lisp versions do not useequalto compare elements.
See also the function add-to-list, in 11.8 How to Alter a Variable Value,
for another way to add an element to a list stored in a variable.
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An association list, or alist for short, records a mapping from keys to values. It is a list of cons cells called associations: the CAR of each cons cell is the key, and the CDR is the associated value.(2)
Here is an example of an alist. The key pine is associated with
the value cones; the key oak is associated with
acorns; and the key maple is associated with seeds.
((pine . cones) (oak . acorns) (maple . seeds)) |
The associated values in an alist may be any Lisp objects; so may the
keys. For example, in the following alist, the symbol a is
associated with the number 1, and the string "b" is
associated with the list (2 3), which is the CDR of
the alist element:
((a . 1) ("b" 2 3))
|
Sometimes it is better to design an alist to store the associated value in the CAR of the CDR of the element. Here is an example of such an alist:
((rose red) (lily white) (buttercup yellow)) |
Here we regard red as the value associated with rose. One
advantage of this kind of alist is that you can store other related
information--even a list of other items--in the CDR of the
CDR. One disadvantage is that you cannot use rassq (see
below) to find the element containing a given value. When neither of
these considerations is important, the choice is a matter of taste, as
long as you are consistent about it for any given alist.
Note that the same alist shown above could be regarded as having the
associated value in the CDR of the element; the value associated
with rose would be the list (red).
Association lists are often used to record information that you might otherwise keep on a stack, since new associations may be added easily to the front of the list. When searching an association list for an association with a given key, the first one found is returned, if there is more than one.
In Emacs Lisp, it is not an error if an element of an association list is not a cons cell. The alist search functions simply ignore such elements. Many other versions of Lisp signal errors in such cases.
Note that property lists are similar to association lists in several respects. A property list behaves like an association list in which each key can occur only once. See section 8.4 Property Lists, for a comparison of property lists and association lists.
equal (see section 2.7 Equality Predicates). It returns nil if no
association in alist has a CAR equal to key.
For example:
(setq trees '((pine . cones) (oak . acorns) (maple . seeds)))
=> ((pine . cones) (oak . acorns) (maple . seeds))
(assoc 'oak trees)
=> (oak . acorns)
(cdr (assoc 'oak trees))
=> acorns
(assoc 'birch trees)
=> nil
|
Here is another example, in which the keys and values are not symbols:
(setq needles-per-cluster
'((2 "Austrian Pine" "Red Pine")
(3 "Pitch Pine")
(5 "White Pine")))
(cdr (assoc 3 needles-per-cluster))
=> ("Pitch Pine")
(cdr (assoc 2 needles-per-cluster))
=> ("Austrian Pine" "Red Pine")
|
The functions assoc-ignore-representation and
assoc-ignore-case are much like assoc except using
compare-strings to do the comparison. See section 4.5 Comparison of Characters and Strings.
nil if no association in alist has
a CDR equal to value.
rassoc is like assoc except that it compares the CDR of
each alist association instead of the CAR. You can think of
this as "reverse assoc", finding the key for a given value.
assoc in that it returns the first
association for key in alist, but it makes the comparison
using eq instead of equal. assq returns nil
if no association in alist has a CAR eq to key.
This function is used more often than assoc, since eq is
faster than equal and most alists use symbols as keys.
See section 2.7 Equality Predicates.
(setq trees '((pine . cones) (oak . acorns) (maple . seeds)))
=> ((pine . cones) (oak . acorns) (maple . seeds))
(assq 'pine trees)
=> (pine . cones)
|
On the other hand, assq is not usually useful in alists where the
keys may not be symbols:
(setq leaves
'(("simple leaves" . oak)
("compound leaves" . horsechestnut)))
(assq "simple leaves" leaves)
=> nil
(assoc "simple leaves" leaves)
=> ("simple leaves" . oak)
|
nil if no association in alist has
a CDR eq to value.
rassq is like assq except that it compares the CDR of
each alist association instead of the CAR. You can think of
this as "reverse assq", finding the key for a given value.
For example:
(setq trees '((pine . cones) (oak . acorns) (maple . seeds)))
(rassq 'acorns trees)
=> (oak . acorns)
(rassq 'spores trees)
=> nil
|
Note that rassq cannot search for a value stored in the CAR
of the CDR of an element:
(setq colors '((rose red) (lily white) (buttercup yellow)))
(rassq 'white colors)
=> nil
|
In this case, the CDR of the association (lily white) is not
the symbol white, but rather the list (white). This
becomes clearer if the association is written in dotted pair notation:
(lily white) == (lily . (white)) |
string-match with an alist that contains
regular expressions (see section 34.3 Regular Expression Searching). If test is omitted
or nil, equal is used for comparison.
If an alist element matches key by this criterion,
then assoc-default returns a value based on this element.
If the element is a cons, then the value is the element's CDR.
Otherwise, the return value is default.
If no alist element matches key, assoc-default returns
nil.
(setq needles-per-cluster
'((2 . ("Austrian Pine" "Red Pine"))
(3 . ("Pitch Pine"))
(5 . ("White Pine"))))
=>
((2 "Austrian Pine" "Red Pine")
(3 "Pitch Pine")
(5 "White Pine"))
(setq copy (copy-alist needles-per-cluster))
=>
((2 "Austrian Pine" "Red Pine")
(3 "Pitch Pine")
(5 "White Pine"))
(eq needles-per-cluster copy)
=> nil
(equal needles-per-cluster copy)
=> t
(eq (car needles-per-cluster) (car copy))
=> nil
(cdr (car (cdr needles-per-cluster)))
=> ("Pitch Pine")
(eq (cdr (car (cdr needles-per-cluster)))
(cdr (car (cdr copy))))
=> t
|
This example shows how copy-alist makes it possible to change
the associations of one copy without affecting the other:
(setcdr (assq 3 copy) '("Martian Vacuum Pine"))
(cdr (assq 3 needles-per-cluster))
=> ("Pitch Pine")
|
eq to key. It returns alist, modified
in this way. Note that it modifies the original list structure
of alist.
(assq-delete-all 'foo
'((foo 1) (bar 2) (foo 3) (lose 4)))
=> ((bar 2) (lose 4))
|
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Recall that the sequence type is the union of two other Lisp types: lists and arrays. In other words, any list is a sequence, and any array is a sequence. The common property that all sequences have is that each is an ordered collection of elements.
An array is a single primitive object that has a slot for each of its elements. All the elements are accessible in constant time, but the length of an existing array cannot be changed. Strings, vectors, char-tables and bool-vectors are the four types of arrays.
A list is a sequence of elements, but it is not a single primitive object; it is made of cons cells, one cell per element. Finding the nth element requires looking through n cons cells, so elements farther from the beginning of the list take longer to access. But it is possible to add elements to the list, or remove elements.
The following diagram shows the relationship between these types:
_____________________________________________
| |
| Sequence |
| ______ ________________________________ |
| | | | | |
| | List | | Array | |
| | | | ________ ________ | |
| |______| | | | | | | |
| | | Vector | | String | | |
| | |________| |________| | |
| | ____________ _____________ | |
| | | | | | | |
| | | Char-table | | Bool-vector | | |
| | |____________| |_____________| | |
| |________________________________| |
|_____________________________________________|
|
The elements of vectors and lists may be any Lisp objects. The elements of strings are all characters.
6.1 Sequences Functions that accept any kind of sequence. 6.2 Arrays Characteristics of arrays in Emacs Lisp. 6.3 Functions that Operate on Arrays Functions specifically for arrays. 6.4 Vectors Special characteristics of Emacs Lisp vectors. 6.5 Functions for Vectors Functions specifically for vectors. 6.6 Char-Tables How to work with char-tables. 6.7 Bool-vectors How to work with bool-vectors.
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In Emacs Lisp, a sequence is either a list or an array. The common property of all sequences is that they are ordered collections of elements. This section describes functions that accept any kind of sequence.
t if object is a list, vector, or
string, nil otherwise.
nil), a wrong-type-argument error is
signaled.
See section 5.4 Accessing Elements of Lists, for the related function safe-length.
(length '(1 2 3))
=> 3
(length ())
=> 0
(length "foobar")
=> 6
(length [1 2 3])
=> 3
(length (make-bool-vector 5 nil))
=> 5
|
nil;
otherwise, they trigger an args-out-of-range error.
(elt [1 2 3 4] 2)
=> 3
(elt '(1 2 3 4) 2)
=> 3
;; We use |
This function generalizes aref (see section 6.3 Functions that Operate on Arrays) and
nth (see section 5.4 Accessing Elements of Lists).
Storing a new element into the copy does not affect the original
sequence, and vice versa. However, the elements of the new
sequence are not copies; they are identical (eq) to the elements
of the original. Therefore, changes made within these elements, as
found via the copied sequence, are also visible in the original
sequence.
If the sequence is a string with text properties, the property list in the copy is itself a copy, not shared with the original's property list. However, the actual values of the properties are shared. See section 32.19 Text Properties.
See also append in 5.5 Building Cons Cells and Lists, concat in
4.3 Creating Strings, and vconcat in 6.4 Vectors, for other
ways to copy sequences.
(setq bar '(1 2))
=> (1 2)
(setq x (vector 'foo bar))
=> [foo (1 2)]
(setq y (copy-sequence x))
=> [foo (1 2)]
(eq x y)
=> nil
(equal x y)
=> t
(eq (elt x 1) (elt y 1))
=> t
;; Replacing an element of one sequence.
(aset x 0 'quux)
x => [quux (1 2)]
y => [foo (1 2)]
;; Modifying the inside of a shared element.
(setcar (aref x 1) 69)
x => [quux (69 2)]
y => [foo (69 2)]
|
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An array object has slots that hold a number of other Lisp objects, called the elements of the array. Any element of an array may be accessed in constant time. In contrast, an element of a list requires access time that is proportional to the position of the element in the list.
Emacs defines four types of array, all one-dimensional: strings, vectors, bool-vectors and char-tables. A vector is a general array; its elements can be any Lisp objects. A string is a specialized array; its elements must be characters. Each type of array has its own read syntax. See section 2.3.8 String Type, and 2.3.9 Vector Type.
All four kinds of array share these characteristics:
aref and aset, respectively (see section 6.3 Functions that Operate on Arrays).
When you create an array, other than a char-table, you must specify its length. You cannot specify the length of a char-table, because that is determined by the range of character codes.
In principle, if you want an array of text characters, you could use either a string or a vector. In practice, we always choose strings for such applications, for four reasons:
By contrast, for an array of keyboard input characters (such as a key sequence), a vector may be necessary, because many keyboard input characters are outside the range that will fit in a string. See section 21.7.1 Key Sequence Input.
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In this section, we describe the functions that accept all types of arrays.
t if object is an array (i.e., a
vector, a string, a bool-vector or a char-table).
(arrayp [a])
=> t
(arrayp "asdf")
=> t
(arrayp (syntax-table)) ;; A char-table.
=> t
|
(setq primes [2 3 5 7 11 13])
=> [2 3 5 7 11 13]
(aref primes 4)
=> 11
(aref "abcdefg" 1)
=> 98 ; `b' is ASCII code 98.
|
See also the function elt, in 6.1 Sequences.
(setq w [foo bar baz])
=> [foo bar baz]
(aset w 0 'fu)
=> fu
w
=> [fu bar baz]
(setq x "asdfasfd")
=> "asdfasfd"
(aset x 3 ?Z)
=> 90
x
=> "asdZasfd"
|
If array is a string and object is not a character, a
wrong-type-argument error results. The function converts a
unibyte string to multibyte if necessary to insert a character.
(setq a [a b c d e f g])
=> [a b c d e f g]
(fillarray a 0)
=> [0 0 0 0 0 0 0]
a
=> [0 0 0 0 0 0 0]
(setq s "When in the course")
=> "When in the course"
(fillarray s ?-)
=> "------------------"
|
If array is a string and object is not a character, a
wrong-type-argument error results.
The general sequence functions copy-sequence and length
are often useful for objects known to be arrays. See section 6.1 Sequences.
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Arrays in Lisp, like arrays in most languages, are blocks of memory whose elements can be accessed in constant time. A vector is a general-purpose array of specified length; its elements can be any Lisp objects. (By contrast, a string can hold only characters as elements.) Vectors in Emacs are used for obarrays (vectors of symbols), and as part of keymaps (vectors of commands). They are also used internally as part of the representation of a byte-compiled function; if you print such a function, you will see a vector in it.
In Emacs Lisp, the indices of the elements of a vector start from zero and count up from there.
Vectors are printed with square brackets surrounding the elements.
Thus, a vector whose elements are the symbols a, b and
a is printed as [a b a]. You can write vectors in the
same way in Lisp input.
A vector, like a string or a number, is considered a constant for evaluation: the result of evaluating it is the same vector. This does not evaluate or even examine the elements of the vector. See section 9.2.1 Self-Evaluating Forms.
Here are examples illustrating these principles:
(setq avector [1 two '(three) "four" [five]])
=> [1 two (quote (three)) "four" [five]]
(eval avector)
=> [1 two (quote (three)) "four" [five]]
(eq avector (eval avector))
=> t
|
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Here are some functions that relate to vectors:
t if object is a vector.
(vectorp [a])
=> t
(vectorp "asdf")
=> nil
|
(vector 'foo 23 [bar baz] "rats")
=> [foo 23 [bar baz] "rats"]
(vector)
=> []
|
(setq sleepy (make-vector 9 'Z))
=> [Z Z Z Z Z Z Z Z Z]
|
The value is a newly constructed vector that is not eq to any
existing vector.
(setq a (vconcat '(A B C) '(D E F)))
=> [A B C D E F]
(eq a (vconcat a))
=> nil
(vconcat)
=> []
(vconcat [A B C] "aa" '(foo (6 7)))
=> [A B C 97 97 foo (6 7)]
|
The vconcat function also allows byte-code function objects as
arguments. This is a special feature to make it easy to access the entire
contents of a byte-code function object. See section 16.6 Byte-Code Function Objects.
The vconcat function also allows integers as arguments. It
converts them to strings of digits, making up the decimal print
representation of the integer, and then uses the strings instead of the
original integers. Don't use this feature; we plan to eliminate
it. If you already use this feature, change your programs now! The
proper way to convert an integer to a decimal number in this way is with
format (see section 4.7 Formatting Strings) or number-to-string
(see section 4.6 Conversion of Characters and Strings).
For other concatenation functions, see mapconcat in 12.6 Mapping Functions, concat in 4.3 Creating Strings, and append
in 5.5 Building Cons Cells and Lists.
The append function provides a way to convert a vector into a
list with the same elements (see section 5.5 Building Cons Cells and Lists):
(setq avector [1 two (quote (three)) "four" [five]])
=> [1 two (quote (three)) "four" [five]]
(append avector nil)
=> (1 two (quote (three)) "four" [five])
|
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A char-table is much like a vector, except that it is indexed by
character codes. Any valid character code, without modifiers, can be
used as an index in a char-table. You can access a char-table's
elements with aref and aset, as with any array. In
addition, a char-table can have extra slots to hold additional
data not associated with particular character codes. Char-tables are
constants when evaluated.
Each char-table has a subtype which is a symbol. The subtype
has two purposes: to distinguish char-tables meant for different uses,
and to control the number of extra slots. For example, display tables
are char-tables with display-table as the subtype, and syntax
tables are char-tables with syntax-table as the subtype. A valid
subtype must have a char-table-extra-slots property which is an
integer between 0 and 10. This integer specifies the number of
extra slots in the char-table.
A char-table can have a parent, which is another char-table. If
it does, then whenever the char-table specifies nil for a
particular character c, it inherits the value specified in the
parent. In other words, (aref char-table c) returns
the value from the parent of char-table if char-table itself
specifies nil.
A char-table can also have a default value. If so, then
(aref char-table c) returns the default value
whenever the char-table does not specify any other non-nil value.
nil. You
cannot alter the subtype of a char-table after the char-table is
created.
There is no argument to specify the length of the char-table, because all char-tables have room for any valid character code as an index.
t if object is a char-table,
otherwise nil.
There is no special function to access the default value of a char-table.
To do that, use (char-table-range char-table nil).
nil or another char-table.
A char-table can specify an element value for a single character code; it can also specify a value for an entire character set.
nil
nil
t
char-table-range---either
a valid character or a generic character--and the value is
(char-table-range char-table key).
Overall, the key-value pairs passed to function describe all the values stored in char-table.
The return value is always nil; to make this function useful,
function should have side effects. For example,
here is how to examine each element of the syntax table:
(let (accumulator)
(map-char-table
#'(lambda (key value)
(setq accumulator
(cons (list key value) accumulator)))
(syntax-table))
accumulator)
=>
((475008 nil) (474880 nil) (474752 nil) (474624 nil)
... (5 (3)) (4 (3)) (3 (3)) (2 (3)) (1 (3)) (0 (3)))
|
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A bool-vector is much like a vector, except that it stores only the
values t and nil. If you try to store any non-nil
value into an element of the bool-vector, the effect is to store
t there. As with all arrays, bool-vector indices start from 0,
and the length cannot be changed once the bool-vector is created.
Bool-vectors are constants when evaluated.
There are two special functions for working with bool-vectors; aside from that, you manipulate them with same functions used for other kinds of arrays.
t if object is a bool-vector,
and nil otherwise.
Here is an example of creating, examining, and updating a bool-vector. Note that the printed form represents up to 8 boolean values as a single character.
(setq bv (make-bool-vector 5 t))
=> #&5"^_"
(aref bv 1)
=> t
(aset bv 3 nil)
=> nil
bv
=> #&5"^W"
|
These results make sense because the binary codes for control-_ and control-W are 11111 and 10111, respectively.
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A hash table is a very fast kind of lookup table, somewhat like an alist in that it maps keys to corresponding values. It differs from an alist in these ways:
Emacs Lisp (starting with Emacs 21) provides a general-purpose hash table data type, along with a series of functions for operating on them. Hash tables have no read syntax, and print in hash notation, like this:
(make-hash-table)
=> #<hash-table 'eql nil 0/65 0x83af980>
|
(The term "hash notation" refers to the initial `#' character---see section 2.1 Printed Representation and Read Syntax---and has nothing to do with the term "hash table.")
Obarrays are also a kind of hash table, but they are a different type of object and are used only for recording interned symbols (see section 8.3 Creating and Interning Symbols).
7.1 Creating Hash Tables 7.2 Hash Table Access 7.3 Defining Hash Comparisons 7.4 Other Hash Table Functions
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The principal function for creating a hash table is
make-hash-table.
Several keywords make sense in make-hash-table, but the only two
that you really need to know about are :test and :weakness.
:test test
eql; eq and equal are other
alternatives:
eql
eq
equal
equal.
You can use define-hash-table-test (see section 7.3 Defining Hash Comparisons) to
define additional possibilities for test.
:weakness weak
The value, weak, must be one of nil, key,
value, key-or-value, key-and-value, or t
which is an alias for key-and-value. If weak is key
then the hash table does not prevent its keys from being collected as
garbage (if they are not referenced anywhere else); if a particular key
does get collected, the corresponding association is removed from the
hash table.
If weak is value, then the hash table does not prevent
values from being collected as garbage (if they are not referenced
anywhere else); if a particular value does get collected, the
corresponding association is removed from the hash table.
If weak is key-or-value or t, the hash table does
not protect either keys or values from garbage collection; if either
one is collected as garbage, the association is removed.
If weak is key-and-value, associations are removed from
the hash table when both their key and value would be collected as
garbage, again not considering references to the key and value from
weak hash tables.
The default for weak is nil, so that all keys and values
referenced in the hash table are preserved from garbage collection. If
weak is t, neither keys nor values are protected (that is,
both are weak).
:size size
The default size is 65.
:rehash-size rehash-size
If rehash-size is an integer, it should be positive, and the hash table grows by adding that much to the nominal size. If rehash-size is a floating point number, it had better be greater than 1, and the hash table grows by multiplying the old size by that number.
The default value is 1.5.
:rehash-threshold threshold
make-hash-table, but with a different style
argument list. The argument test specifies the method
of key lookup.
If you want to specify other parameters, you should use
make-hash-table.
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This section describes the functions for accessing and storing associations in a hash table.
remhash does
nothing.
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You can define new methods of key lookup by means of
define-hash-table-test. In order to use this feature, you need
to understand how hash tables work, and what a hash code means.
You can think of a hash table conceptually as a large array of many
slots, each capable of holding one association. To look up a key,
gethash first computes an integer, the hash code, from the key.
It reduces this integer modulo the length of the array, to produce an
index in the array. Then it looks in that slot, and if necessary in
other nearby slots, to see if it has found the key being sought.
Thus, to define a new method of key lookup, you need to specify both a function to compute the hash code from a key, and a function to compare two keys directly.
After defining name in this way, you can use it as the test
argument in make-hash-table. When you do that, the hash table
will use test-fn to compare key values, and hash-fn to compute
a "hash code" from a key value.
The function test-fn should accept two arguments, two keys, and
return non-nil if they are considered "the same."
The function hash-fn should accept one argument, a key, and return an integer that is the "hash code" of that key. For good results, the function should use the whole range of integer values for hash codes, including negative integers.
The specified functions are stored in the property list of name
under the property hash-table-test; the property value's form is
(test-fn hash-fn).
If two objects obj1 and obj2 are equal, then (sxhash
obj1) and (sxhash obj2) are the same integer.
If the two objects are not equal, the values returned by sxhash
are usually different, but not always; but once in a rare while, by
luck, you will encounter two distinct-looking objects that give the same
result from sxhash.
This example creates a hash table whose keys are strings that are compared case-insensitively.
(defun case-fold-string= (a b)
(compare-strings a nil nil b nil nil t))
(defun case-fold-string-hash (a)
(sxhash (upcase a)))
(define-hash-table-test 'case-fold 'case-fold-string=
'case-fold-string-hash))
(make-hash-table :test 'case-fold)
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Here is how you could define a hash table test equivalent to the
predefined test value equal. The keys can be any Lisp object,
and equal-looking objects are considered the same key.
(define-hash-table-test 'contents-hash 'equal 'sxhash) (make-hash-table :test 'contents-hash) |
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Here are some other functions for working with hash tables.
nil if table is a hash table object.
make-hash-table (see section 7.1 Creating Hash Tables).
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A symbol is an object with a unique name. This chapter describes symbols, their components, their property lists, and how they are created and interned. Separate chapters describe the use of symbols as variables and as function names; see 11. Variables, and 12. Functions. For the precise read syntax for symbols, see 2.3.4 Symbol Type.
You can test whether an arbitrary Lisp object is a symbol
with symbolp:
t if object is a symbol, nil
otherwise.
8.1 Symbol Components Symbols have names, values, function definitions and property lists. 8.2 Defining Symbols A definition says how a symbol will be used. 8.3 Creating and Interning Symbols How symbols are kept unique. 8.4 Property Lists Each symbol has a property list for recording miscellaneous information.
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Each symbol has four components (or "cells"), each of which references another object:
symbol-name in 8.3 Creating and Interning Symbols.
symbol-value in
11.7 Accessing Variable Values.
symbol-function in 12.8 Accessing Function Cell Contents.
symbol-plist in 8.4 Property Lists.
The print name cell always holds a string, and cannot be changed. The other three cells can be set individually to any specified Lisp object.
The print name cell holds the string that is the name of the symbol. Since symbols are represented textually by their names, it is important not to have two symbols with the same name. The Lisp reader ensures this: every time it reads a symbol, it looks for an existing symbol with the specified name before it creates a new one. (In GNU Emacs Lisp, this lookup uses a hashing algorithm and an obarray; see 8.3 Creating and Interning Symbols.)
The value cell holds the symbol's value as a variable
(see section 11. Variables). That is what you get if you evaluate the symbol as
a Lisp expression (see section 9. Evaluation). Any Lisp object is a legitimate
value. Certain symbols have values that cannot be changed; these
include nil and t, and any symbol whose name starts with
`:' (those are called keywords). See section 11.2 Variables that Never Change.
We often refer to "the function foo" when we really mean
the function stored in the function cell of the symbol foo. We
make the distinction explicit only when necessary. In normal
usage, the function cell usually contains a function
(see section 12. Functions) or a macro (see section 13. Macros), as that is what the
Lisp interpreter expects to see there (see section 9. Evaluation). Keyboard
macros (see section 21.15 Keyboard Macros), keymaps (see section 22. Keymaps) and
autoload objects (see section 9.2.8 Autoloading) are also sometimes stored in
the function cells of symbols.
The property list cell normally should hold a correctly formatted property list (see section 8.4 Property Lists), as a number of functions expect to see a property list there.
The function cell or the value cell may be void, which means
that the cell does not reference any object. (This is not the same
thing as holding the symbol void, nor the same as holding the
symbol nil.) Examining a function or value cell that is void
results in an error, such as `Symbol's value as variable is void'.
The four functions symbol-name, symbol-value,
symbol-plist, and symbol-function return the contents of
the four cells of a symbol. Here as an example we show the contents of
the four cells of the symbol buffer-file-name:
(symbol-name 'buffer-file-name)
=> "buffer-file-name"
(symbol-value 'buffer-file-name)
=> "/gnu/elisp/symbols.texi"
(symbol-plist 'buffer-file-name)
=> (variable-documentation 29529)
(symbol-function 'buffer-file-name)
=> #<subr buffer-file-name>
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Because this symbol is the variable which holds the name of the file
being visited in the current buffer, the value cell contents we see are
the name of the source file of this chapter of the Emacs Lisp Manual.
The property list cell contains the list (variable-documentation
29529) which tells the documentation functions where to find the
documentation string for the variable buffer-file-name in the
`DOC-version' file. (29529 is the offset from the beginning
of the `DOC-version' file to where that documentation string
begins--see 24.1 Documentation Basics.) The function cell contains
the function for returning the name of the file.
buffer-file-name names a primitive function, which has no read
syntax and prints in hash notation (see section 2.3.15 Primitive Function Type). A
symbol naming a function written in Lisp would have a lambda expression
(or a byte-code object) in this cell.
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A definition in Lisp is a special form that announces your intention to use a certain symbol in a particular way. In Emacs Lisp, you can define a symbol as a variable, or define it as a function (or macro), or both independently.
A definition construct typically specifies a value or meaning for the symbol for one kind of use, plus documentation for its meaning when used in this way. Thus, when you define a symbol as a variable, you can supply an initial value for the variable, plus documentation for the variable.
defvar and defconst are special forms that define a
symbol as a global variable. They are documented in detail in
11.5 Defining Global Variables. For defining user option variables that can
be customized, use defcustom (see section 14. Writing Customization Definitions).
defun defines a symbol as a function, creating a lambda
expression and storing it in the function cell of the symbol. This
lambda expression thus becomes the function definition of the symbol.
(The term "function definition", meaning the contents of the function
cell, is derived from the idea that defun gives the symbol its
definition as a function.) defsubst and defalias are two
other ways of defining a function. See section 12. Functions.
defmacro defines a symbol as a macro. It creates a macro
object and stores it in the function cell of the symbol. Note that a
given symbol can be a macro or a function, but not both at once, because
both macro and function definitions are kept in the function cell, and
that cell can hold only one Lisp object at any given time.
See section 13. Macros.
In Emacs Lisp, a definition is not required in order to use a symbol
as a variable or function. Thus, you can make a symbol a global
variable with setq, whether you define it first or not. The real
purpose of definitions is to guide programmers and programming tools.
They inform programmers who read the code that certain symbols are
intended to be used as variables, or as functions. In addition,
utilities such as `etags' and `make-docfile' recognize
definitions, and add appropriate information to tag tables and the
`DOC-version' file. See section 24.2 Access to Documentation Strings.
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To understand how symbols are created in GNU Emacs Lisp, you must know how Lisp reads them. Lisp must ensure that it finds the same symbol every time it reads the same set of characters. Failure to do so would cause complete confusion.
When the Lisp reader encounters a symbol, it reads all the characters of the name. Then it "hashes" those characters to find an index in a table called an obarray. Hashing is an efficient method of looking something up. For example, instead of searching a telephone book cover to cover when looking up Jan Jones, you start with the J's and go from there. That is a simple version of hashing. Each element of the obarray is a bucket which holds all the symbols with a given hash code; to look for a given name, it is sufficient to look through all the symbols in the bucket for that name's hash code. (The same idea is used for general Emacs hash tables, but they are a different data type; see 7. Hash Tables.)
If a symbol with the desired name is found, the reader uses that symbol. If the obarray does not contain a symbol with that name, the reader makes a new symbol and adds it to the obarray. Finding or adding a symbol with a certain name is called interning it, and the symbol is then called an interned symbol.
Interning ensures that each obarray has just one symbol with any particular name. Other like-named symbols may exist, but not in the same obarray. Thus, the reader gets the same symbols for the same names, as long as you keep reading with the same obarray.
Interning usually happens automatically in the reader, but sometimes other programs need to do it. For example, after the M-x command obtains the command name as a string using the minibuffer, it then interns the string, to get the interned symbol with that name.
No obarray contains all symbols; in fact, some symbols are not in any obarray. They are called uninterned symbols. An uninterned symbol has the same four cells as other symbols; however, the only way to gain access to it is by finding it in some other object or as the value of a variable.
Creating an uninterned symbol is useful in generating Lisp code, because an uninterned symbol used as a variable in the code you generate cannot clash with any variables used in other Lisp programs.
In Emacs Lisp, an obarray is actually a vector. Each element of the
vector is a bucket; its value is either an interned symbol whose name
hashes to that bucket, or 0 if the bucket is empty. Each interned
symbol has an internal link (invisible to the user) to the next symbol
in the bucket. Because these links are invisible, there is no way to
find all the symbols in an obarray except using mapatoms (below).
The order of symbols in a bucket is not significant.
In an empty obarray, every element is 0, so you can create an obarray
with (make-vector length 0). This is the only
valid way to create an obarray. Prime numbers as lengths tend
to result in good hashing; lengths one less than a power of two are also
good.
Do not try to put symbols in an obarray yourself. This does
not work--only intern can enter a symbol in an obarray properly.
Common Lisp note: In Common Lisp, a single symbol may be interned in several obarrays.
Most of the functions below take a name and sometimes an obarray as
arguments. A wrong-type-argument error is signaled if the name
is not a string, or if the obarray is not a vector.
(symbol-name 'foo)
=> "foo"
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Warning: Changing the string by substituting characters does change the name of the symbol, but fails to update the obarray, so don't do it!
nil. In the example below,
the value of sym is not eq to foo because it is a
distinct uninterned symbol whose name is also `foo'.
(setq sym (make-symbol "foo"))
=> foo
(eq sym 'foo)
=> nil
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intern
creates a new one, adds it to the obarray, and returns it. If
obarray is omitted, the value of the global variable
obarray is used.
(setq sym (intern "foo"))
=> foo
(eq sym 'foo)
=> t
(setq sym1 (intern "foo" other-obarray))
=> foo
(eq sym1 'foo)
=> nil
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Common Lisp note: In Common Lisp, you can intern an existing symbol
in an obarray. In Emacs Lisp, you cannot do this, because the argument
to intern must be a string, not a symbol.
nil if obarray has no symbol with that name.