6.10 / March 24, 2017
|Operating system||Unix-like, Windows|
|Type||State machine compiler|
Ragel is a finite-state machine compiler and a parser generator. Initially Ragel supported output for C, C++ and Assembly source code, and was subsequently extended to support Objective C, D, Go, Ruby, and Java. It supports the generation of table or control flow driven state machines from regular expressions and/or state charts and can also build lexical analysers via the longest-match method. Ragel specifically targets text parsing and input validation.
Ragel supports the generation of table or control flow driven state machines from regular expressions and/or state charts and can also build lexical analysers via the longest-match method. A unique feature of Ragel is that user actions can be associated with arbitrary state machine transitions using operators that are integrated into the regular expressions. Ragel also supports visualization of the generated machine via graphviz.
The graph represents a state-machine that takes user input as a series of bytes representing ASCII characters and control codes. 48..57 is equivalent to the regular expression [0-9] (i.e. any digit), so only sequences beginning with a digit can be recognised. If 10 (line feed) is encountered, we're done. 46 is the decimal point ('.'), 43 and 45 are positive and negative signs ('+', '-') and 69/101 is uppercase/lowercase 'e' (to indicate a number in scientific format). As such it will recognize the following properly:
2 45 055 46. 78.1 2e5 78.3e12 69.0e-3 3e+3
.3 -5 3.e2 2e5.1
- Comparison of parser generators
- Executable UML
- Finite-state machine
- Regular expression
- Thompson's construction - the algorithm used by Ragel
- Dr. Adrian D. Thurston at complang.org Last changed: Jul 14, 2013
- Adrian D. Thurston. "Parsing Computer Languages with an Automaton Compiled from a Single Regular Expression." In: 11th International Conference on Implementation and Application of Automata (CIAA 2006), Lecture Notes in Computer Science, volume 4094, p. 285-286, Taipei, Taiwan, August 2006.
- Liqun Chen, Chris J. Mitchell, Andrew Martin (2009) Trusted Computing: Second International Conference, Trust 2009 Oxford, UK, April 6–8, 2009, Proceedings. p. 111
- Omar Badreddin (2010) "Umple: a model-oriented programming language." Software Engineering, 2010 ACM/IEEE 32nd International Conference on. Vol. 2. IEEE, 2010.