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A library for managing CSP, constraint satisfaction problems in AI and more
csp++ | ||
doc | ||
Changelog | ||
fourcolours.cpp | ||
Makefile | ||
README | ||
sudoku-2x2x2.txt | ||
sudoku-easy.txt | ||
sudoku-hard.txt | ||
sudoku-medium.txt | ||
sudoku.cpp | ||
sudoku.txt | ||
tags |
======================================== _ _ _ ____ ____ ____ | (_) |__ / ___/ ___|| _ \ _ _ | | | '_ \| | \___ \| |_) || |_ _| |_ | | | |_) | |___ ___) | __/_ _|_ _| |_|_|_.__/ \____|____/|_| |_| |_| ======================================== libCSP++ is a small library whose purpose is allowing the programmer who has to manage constraint-related problems (CSP == Constraint Satisfaction Problem), in artificial intelligence or any other application, to do it easily, just caring about how to express the constraints of his own problem, not how to write an algorithm that verifies those constraints. The programmer only has to focus three parameters: the variables of the problem (e.g., in a sudoku resolution algorithm, each cell of the game may represent a variable), the domains of these variables (e.g., in a sudoku, each cell may assume values from 1 to 9) and the constraints of the problem, simply provided like one or more boolean functions (always in a sudoku, the constraints are represented by a boolean function returning true if all the variables in the same row, column and cell have different values, false otherwise). Once focused these features, the programmer just has to provide them to build a CSP object, without caring of the algorithm to check the satisfiability of his problem, and so pay his attention to *HIS* own algorithm. INSTALLATION: Just type make install. The files will be copied, by default, to /usr/local. Change the Makefile if you want them in a different location. No additional dependency is required. Only a C++ compiler. USAGE: Just include <csp++/csp++.h> in your source files using libCSP++, possibly adding the directory where csp++ directory is located to your include list (for example, using g++ and supposing you installed csp++ to /usr/local, you would append -I/usr/local/include to your compiler command line). DOCUMENTATION: You can find doxygen-generated documentation, both in HTML and LaTeX format, in the doc/ directory of the project. If you modify some of the sources files of the library and want to change the documentation, just move to csp++ directory and launch `doxygen' command again. EXAMPLES: Two examples of usage of the library are provided. - fourcolours.cpp is a simple application whose purpose is to interactively ask the user to enter the colours for some European countries. The constraint is that two adjacent countries on the map cannot have the same colour, and the domain of each variable (country) is the set of colours it can assume (a set of 4 colours is used, it has been proved in the chromatic theory of graphs that 4 colours are enough for satisfying the constraint "two adjacent countries must always have different colours"). Every time the user inserts the colour for a country, the domains (colours) of the remaining countries are computed again applying the constraint just entered by the user, and for the next countries the choice of the colours is only restricted to these computed domains. If the user has to choose a colour for a country having an only value left in its domain, that value will be chosen automatically. - sudoku.cpp is a nice program that automatically solves a sudoku, theoretically by any size (in truth the complexity of the algorithm rises exponentially when the size of the sudoku grows, and the required time for the algorithm is also inversely proportional to the number of variables already set by default in the game). The sudoku to be solved is read by a text file. If no file is provided, the program reads the sudoku contained in ./sudoku.txt. More examples are provided in files sudoku-easy.txt, sudoku-medium.txt, sudoku-hard.txt and sudoku-2x2x2.txt. If you want to solve a sudoku different by the one provided in sudoku.txt, just put the new sudoku in a file whose structure is similar to the one illustrated in the sample files, and pass it as parameter for the application (e.g. ./sudoku mysudoku.txt). The application will verify whether the given game has a solution (unique), is indeterminate (the given variables are not enough for reaching a unique solution) or impossible (any configuration leads to a violation of the constraints). For building the examples, from the root directory of the project just type `make examples'. For removing them, type `make examples-clean'. For building only one of them, type `make fourcolours' or `make sudoku', and specularly `make fourcolours-clean' or `make sudoku-clean'. LICENCE: All the source code and examples are released under GNU GPL 3 licence. AUTHOR: BlackLight, <blacklight[AT]autistici[DOT]org>, http://0x00.ath.cx