| Games-Sudoku-General documentation | Contained in the Games-Sudoku-General distribution. |
Games::Sudoku::General - Solve sudoku-like puzzles.
$su = Games::Sudoku::General->new (); print $su->problem(<<eod)->solution(); 3 . . . . 8 . 2 . . . . . . 9 . . . . . 2 7 . 5 . . . 2 4 . 5 . . 8 . . . 8 5 . 7 4 . . 6 . 3 . . . . 9 4 . 1 . 4 . . . . 7 2 . . 6 9 . . . 5 . . 7 . 6 1 2 . . 9 eod
This package solves puzzles that involve the allocation of symbols among a number of sets, such that no set contains more than one of any symbol. This class of problem includes the puzzles known as 'Sudoku', 'Number Place', and 'Wasabi'.
Each Sudoku puzzle is considered to be made up of a number of cells, each of which is a member of one or more sets, and each of which may contain exactly one symbol. The contents of some of the cells are given, and the problem is to deduce the contents of the rest of the cells.
Although such puzzles as Sudoku are presented on a square grid, this package does not assume any particular geometry. Instead, the topology of the puzzle is defined by the user in terms of a list of the sets to which each cell belongs. Some topology generators are provided, but the user has the option of hand-specifying an arbitrary topology.
Even on the standard 9 x 9 Sudoku topology there are variants in which unspecified cells are constrained in various ways (odd/even, high/low). Such variants are accommodated by defining named sets of allowed symbols, and then giving the set name for each unoccupied cell to which it applies. See allowed_symbols for more information and an example.
This module is able not only to solve a variety of Sudoku-like puzzles, but to 'explain' how it arrived at its solution. The steps() method, called after a solution is generated, lists in order what solution constraints were applied, what cell each constraint is applied to, and what symbol the cell was constrained to.
Test script t/sudoku.t demonstrates these features. ActivePerl users will have to download the kit from http://www.cpan.org/ or http://search.cpan.org/dist/Games-Sudoku-General/ to get this file.
No symbols are exported by default, but the following things are available for export:
Status values exported by the :status tag
SUDOKU_SUCCESS
This means what you think it does.
SUDOKU_NO_SOLUTION
This means the method exhausted all possible
soltions without finding one
SUDOKU_TOO_HARD
This means the iteration_limit attribute was
set to a positive number and the solution()
method hit the limit without finding a solution.
The :all tag is provided for convenience, but it exports the same symbols as :status.
Games::Sudoku::General objects have the following attributes, which may normally be accessed by the get() method, and changed by the set() method.
In parentheses after the name of the attribute is the word "boolean", "number" or "string", giving the data type of the attribute. Booleans are interpreted in the Perl sense: undef, 0, and '' are false, and anything else is true. The parentheses may also contain the words "read-only" to denote a read-only attribute or "write-only" to denote a write-only attribute.
In general, the write-only attributes exist as a convenience to the user, and provide a shorthand way to set a cluster of attributes at the same time. At the moment all of them are concerned with generating problem topologies, which are a real pain to specify by hand.
This attribute names and defines sets of allowed symbols which may appear in empty cells. The set definitions are whitespace-delimited and each consists of a string of the form 'name=symbol,symbol...' where the 'name' is the name of the set, and the symbols are a list of the symbols valid in a cell to which that set applies.
For example, if you have an odd/even puzzle (i.e. you are given that at least some of the unoccupied cells are even or odd but not both), you might want to
$su->set (allowed_symbols => <<eod); o=1,3,5,7,9 e=2,4,6,8 eod
and then define the problem like this:
$su->problem (<<eod); 1 o e o e e o e 3 o o e o 6 e o o e e e 3 o o 1 o e e e 7 o 1 o e e o e o e 8 e e o 5 o o o e o o e 3 e 4 o e o o 8 o o 6 o e o o o e 1 e e e o 6 e e e o o o o 7 eod
To eliminate an individual allowed symbol set, set it to an empty string (e.g. $su->set (allowed_symbols => 'o=');). To eliminate all symbol sets, set the entire attribute to the empty string.
Allowed symbol set names may not conflict with symbol names. If you set the symbol attribute, all allowed symbol sets are deleted, because that seemed to be the most expeditious way to enforce this restriction across a symbol set change.
Because symbol set names must be parsed like symbol names when a problem is defined, they also affect the need for whitespace on problem input. See the problem() documentation for full details.
If true, this attribute causes the generate() method to implicitly call copy() to copy the generated problem to the clipboard.
This attribute is false by default.
This "virtual" attribute is a convenience, which causes the object to be configured with a topology of rows, columns, and rectangles. The value set must be either a comma-separated list of three numbers (e.g. '3,2,6') or a reference to a list containing three numbers (e.g. [3, 2, 6]). Either way, the numbers represent the horizontal dimension of the rectangle (in columns), the vertical dimension of the rectangle (in rows), and the overall size of the puzzle square. For example,
$su->set (brick => [3, 2, 6])
generates a topology that looks like this
+-------+-------+ | x x x | x x x | | x x x | x x x | +-------+-------+ | x x x | x x x | | x x x | x x x | +-------+-------+ | x x x | x x x | | x x x | x x x | +-------+-------+
The overall size of the puzzle must be a multiple of both the horizontal and vertical rectangle size.
Beginning with version 0.005_01, the overall size value is optional, and defaults to the product of the horizontal and vertical dimensions. Note that I am strongly considering eliminating this value, since it appears to me that any value other than the default results in an impossible puzzle. As of version 0.005_01, specification of the third value is deprecated.
Setting this attribute modifies the following "real" attributes:
columns is set to the size of the big square; symbols is set to "." and the numbers "1", "2", and so on, up to the size of the big square; topology is set to represent the rows, columns, and small squares in the big square, with row sets named "r0", "r1", and so on, column sets named "c0", "c1", and so on, and small rectangle sets named "s0", "s1", and so on for historical reasons.
This attribute defines the number of columns of data to present in a line of output when formatting the topology attribute, or the solution to a puzzle.
This "virtual" attribute is a convenience, which causes the object to be configured for "corresponding-cell" Sudoku. The topology is the same as 'set sudoku', but in addition corresponding cells in the small squares must have different values. The extra set names are "u0", "u1", and so on.
This kind of puzzle is also called "disjoint groups."
This "virtual" attribute is a convenience, which causes the object to be configured for cubical sudoku. The string is either a number, or 'full', or 'half'.
* a number sets the topology to a Dion cube of the given order. That is,
sudokug> set cube 3
generates a 9 x 9 x 9 Dion cube, with the small squares being 3 x 3. The problem is entered in plane, row, and column order, as though you were entering the required number of normal Sudoku puzzles back-to-back.
* 'full' generates a topology that includes all faces of the cube. The sets are the faces of the cube, and the rows, columns, and (for lack of a better word) planes of cells that circle the cube.
To enter the problem, imagine the cube unfolded to make a Latin cross. Then, enter the problem in order by faces, rows, and columns, top to bottom and left to right. The order of entry is actually by cell number, as given below.
+-------------+
| 0 1 2 3 |
| 4 5 6 7 |
| 8 9 10 11 |
| 12 13 14 15 |
+-------------+-------------+-------------+
| 16 17 18 19 | 32 33 34 35 | 48 49 50 51 |
| 20 21 22 23 | 36 37 38 39 | 52 53 54 55 |
| 24 25 26 27 | 40 41 42 43 | 56 57 58 59 |
| 28 29 30 31 | 44 45 46 47 | 60 61 62 63 |
+-------------+-------------+-------------+
| 64 65 66 67 |
| 68 69 70 71 |
| 72 73 74 75 |
| 76 77 78 79 |
+-------------+
| 80 81 82 83 |
| 84 85 86 87 |
| 88 89 90 91 |
| 92 93 94 95 |
+-------------+
The solution will be displayed in order by cell number, with line breaks controlled by the columns attribute, just like any other solution presented by this package.
I have seen such puzzles presented with the bottom square placed to the right and rotated counterclockwise 90 degrees. You will need to perform the opposite rotation when you enter the problem.
* 'half' generates a topology that looks like an isometric view of a cube, with the puzzle on the visible faces. The faces are divided in half, since the set size here is 8, not 16. Imagine the isometric unfolded to make an L-shape. Then, enter the problem in order by faces, rows, and columns, top to bottom and left to right. The order of entry is actually in order by cell number, as given below.
+-------------------+ | 0 1 2 3 | | | | 4 5 6 7 | +-------------------+ | 8 9 10 11 | | | | 12 13 14 15 | +---------+---------+-------------------+ | 16 17 | 18 19 | 32 33 34 35 | | | | | | 20 21 | 22 23 | 36 37 38 39 | | | +-------------------+ | 24 25 | 26 27 | 40 41 42 43 | | | | | | 28 29 | 30 31 | 44 45 46 47 | +---------+---------+-------------------+
The solution will be displayed in order by cell number, with line breaks controlled by the columns attribute, just like any other solution presented by this package.
For the 'full' and 'half' cube puzzles, the columns attribute is set to 4, and the symbols attribute to the numbers 1 to the size of the largest set (16 for the full cube, 8 for the half or isometric cube). I have seen full cube puzzles done with hex digits 0 to F; these are handled most easily by setting the symbols attribute appropriately:
$su->set (cube => 'full', symbols => <<eod); . 0 1 2 3 4 5 6 7 8 9 A B C D E F eod
This attribute, if not 0, causes debugging information to be displayed. Values other than 0 are not supported, in the sense that the author makes no commitment what will happen when a non-zero value is set, and further reserves the right to change this behavior without notice of any sort, and without documenting the changes.
This attribute governs how hard the generate() method tries to generate a problem. If generate() cannot generate a problem after this number of tries, it gives up.
The default is 30.
This attribute governs how hard the solution() method tries to solve a problem. An iteration is an attempt to use the backtrack constraint. Since what this really counts is the number of times we place a backtrack constraint on the stack, not the number of values generated from that constraint, I suspect 10 to 20 is reasonable for a "normal" sudoku problem.
The default is 0, which imposes no limit.
This read-only attribute returns the size of the largest set defined by the current topology.
This "virtual" attribute is a convenience, which causes the object to be configured to handle a Latin square. The value gives the size of the square. Setting this modifies the following "real" attributes:
columns is set to the size of the square; symbols is set to "." and the letters "A", "B", and so on, up to the size of the square; topology is set to represent the rows and columns of a square, with row sets named "r0", "r1", and so on, and the column sets named "c0", "c1", and so on.
This attribute represents the maximum-sized tuple to consider for the tuple constraint. It is possible that one might want to modify this upward for large puzzles, or downward for small ones.
The default is 4, meaning that the solution considers doubles, triples, and quads only.
This attribute is for information, and is not used by the class.
This "virtual" attribute is a convenience, which causes the object to be configured with the given number of cells, but no topology. The topology must be added later using the add_set method once for each set of cells to be created. The value must be either a comma-separated list of one to three numbers (e.g. '81,9,9') or a reference to a list containing one to three numbers (e.g. [81, 9, 9]). The first (and only required) number gives the number of cells. The second, if supplied, sets the 'columns' attribute, and the third, if supplied, sets the 'rows' attribute.
value set must be either a comma-separated list of three numbers (e.g. '3,2,6') or a reference to a list containing three numbers (e.g. [3, 2, 6]). Either way, the numbers represent the horizontal dimension of the rectangle (in columns), the vertical dimension of the rectangle (in rows), and the overall size of the puzzle square. For example,
$su->set (null => [36, 6]); $su->add_set (r0 => 0, 1, 2, 3, 4, 5); $su->add_set (r1 => 6, 7, 8, 9, 10, 11); ... $su->add_set (c0 => 0, 6, 12, 18, 24, 30); $su->add_set (c1 => 1, 7, 13, 19, 25, 31); ... $su->add_set (s0 => 0, 1, 2, 6, 7, 8); $su->add_set (s1 => 3, 4, 5, 9, 10, 11); ...
Generates the topology equivalent to
$su->set (brick => [3, 2, 6])
This attribute specifies the delimiter to be used between cell values on output. The default is a single space.
This "virtual" attribute is a convenience, which causes the object to be configured as a quincunx (a. k. a. 'Samurai Sudoku' at http://www.samurai-sudoku.com/). The value must be either a comma-separated list of one to two numbers (e.g. '3,1') or a reference to a list of one to two numbers (e.g. [3, 1]). In either case, the numbers are the order of the quincunx (3 corresponding to the usual 'Samurai Sudoku' configuration), and the gap between the arms of the quincunx, in small squares. The gap must be strictly less than the order, and the same parity (odd or even) as the order. If the gap is not specified, it defaults to the smallest possible.
To be specific,
$su->set(quincunx => 3)
is equivalent to
$su->set(quincunx => [3, 1])
and both specify the 'Samurai Sudoku' configuration.
The actual topology is set up as a square of (2 * order + gap) * order cells on a side, with the cells in the gap being unused. The sets used are the same as for sudoku of the same order, but with 'g0' through 'g4' prepended to their names, with g0 being the top left sudoku grid, g1 the top right, g2 the middle, g3 the bottom left, and g4 the bottom right.
In the case of the 's' sets, this would result in duplicate sets being generated in the overlap area, so the 's' set from the higher-numbered grid is suppressed. For example, in the 'Samurai Sudoku' configuration, sets g0s8, g1s6, g2s6, and g2s8 contain exactly the same cells as g2s0, g2s2, g3s2, and g4s0 respectively, so the latter are suppressed, and only the former appear in the topology.
Problems are specified left-to-right by rows. The cells in the gaps are unused, and are not specified. For example, the May 2, 2008 'Samurai Sudoku' problem could be specified as
. . . . . 1 . . . . . . 4 . . . . .
. . . . 3 . 6 . . . . 7 . 2 . . . .
. . . 7 . . . 5 . . 4 . . . 5 . . .
. . 6 9 . . . . 7 6 . . . . 9 1 . .
. 5 . . 2 . . 4 . . 2 . . 5 . . 9 .
4 . . . . 5 2 . . . . 8 1 . . . . 7
. 2 . . . 4 . . . . 8 . . . . 3 . . . 2 .
. . 5 . 6 . . . . 4 . 5 . . . . 8 . 4 . .
. . . 1 . . . . . . 7 . . . . . . 7 . . .
. 4 . . 6 . . 2 .
6 . 7 8 . 9 4 . 1
. 1 . . 4 . . 3 .
. . . 7 . . . . . . 9 . . . . . . 6 . . .
. . 8 . 2 . . . . 2 . 8 . . . . 8 . 5 . .
. 4 . . . 3 . . . . 5 . . . . 3 . . . 2 .
2 . . . . 7 8 . . . . 4 1 . . . . 6
. 3 . . 5 . . 4 . . 3 . . 2 . . 4 .
. . 4 8 . . . . 7 2 . . . . 3 1 . .
. . . 9 . . . 1 . . 5 . . . 8 . . .
. . . . 6 . 9 . . . . 7 . 4 . . . .
. . . . . 4 . . . . . . 2 . . . . .
Setting this attribute causes the rows and columns attributes to be set to (2 * order + gap) * order. The symbols attribute is set to '.' and the numbers 1, 2, ... up to order * order.
This attribute defines the number of lines of output to present before inserting a blank line (for readability) when formatting the topology attribute, or the solution to a puzzle.
This attribute is a short piece of text corresponding to the status_value.
The solution() method sets a status, which can be retrieved via this attribute. The retrieved value is one of
SUDOKU_SUCCESS
This means what you think it does.
SUDOKU_NO_SOLUTION
This means the method exhausted all possible
soltions without finding one
SUDOKU_TOO_HARD
This means the iteration_limit attribute was
set to a positive number and the solution()
method hit the limit without finding a solution.
This attribute is a convenience, which causes the object to be configured to handle a standard Sudoku square. The value gives the size of the small squares into which the big square is divided. The big square's side is the square of the value.
For example, the customary Sudoku topology is set by
$su->set (sudoku => 3);
This attribute is implemented in terms of 'set brick', and modifies the same "real" attributes. See brick for the details.
This attribute is a convenience. It is similar to the 'sudoku' attribute, but the topology includes both main diagonals (set names 'd0' and 'd1') in addition to the standard sets. See brick for the details, since that's ultimately how this attribute is implemented.
This attribute defines the symbols to be used in the puzzle. Any printing characters may be used except ",". Multi-character symbols are supported. The value of the attribute is a whitespace-delimited list of the symbols, though the whitespace is optional if all symbols (and symbol constraints if any) are a single character. See the problem() documentation for full details.
The first symbol in the list is the one that represents an empty cell. Except for this, the order of the symbols is immaterial.
The symbols defined here are used only for input or output. It is perfectly legitimate to set symbols, call the problem() method, and then change the symbols. The solution() method will return solutions in the new symbol set. I have no idea why you would want to do this.
This attribute defines the topology of the puzzle, in terms of what sets each cell belongs to. Each cell is defined in terms of a comma-delimited list of the names of the sets it belongs to, and the string is a whitespace-delimited list of cell definitions. For example, a three-by-three grid with diagonals can be defined as follows in terms of sets r1, r2, and r3 for the rows, c1, c2, and c3 for the columns, and d1 and d2 for the diagonals:
r1,c1,d1 r1,c2 r1,c3,d2 r2,c1 r2,c2,d1,d2 r2,c3 r3,c1,d2 r3,c2 r3,c3,d1
The parser treats line breaks as whitespace. That is to say, the above definition would be the same if it were all on one line.
You do not need to define the sets themselves anywhere. The package defines each set as it encounters it in the topology definition.
For certain topologies (e.g. the London Times Quincunx) it may be convenient to include in the definition cells that are not part of the puzzle. Such unused cells are defined by specifying just a comma, without any set names.
Setting the topology invalidates any currently-set-up problem.
This package provides the following public methods:
This method instantiates a new Games::Sudoku::General object. Any arguments are passed to the set() method. If, after processing the arguments, the object does not have a topology,
$self->set (sudoku => 3)
is called. If there is no symbols setting (which could happen if the user passed an explicit topology),
$self->set (symbols => join ' ', '.',
1 .. $self->get ('largest_set'))
is called. If, after all this, there is still no columns setting, the number of columns is set to the number of symbols, excluding the "empty cell" symbol.
The newly-instantiated object is returned.
This method adds to the current topology a new set with the given name, and consisting of the given cells. The set name must not already exist, but the cells must already exist. In other words, you can't modify an existing set with this method, nor can you add new cells.
This method returns a hash containing the constraints used in the most recent call to solution(), and the number of times each was used. The constraint codes are the same as for the steps() method. If called in scalar context it returns a string representing the constraints used at least once, in canonical order (i.e. in the order documented in the steps() method).
Note: As of version 0.002, the string returned by the scalar has spaces delimiting the constraint names. They were not delimited in version 0.001
This method copies the current problem to the clipboard. If solution() has been called, the current solution goes on the clipboard.
See CLIPBOARD SUPPORT for what is needed for this to work.
This method removes from the current topology the set with the given name. The set must exist, or an exception is raised.
This method generates a problem and returns it.
The $min argument is the minimum number of givens in the puzzle. You may (and probably will) get more. The default is the number of cells in the puzzle divided by the number of sets a cell belongs to.
The value of this argument is critical to getting a puzzle: too large and you generate puzzles with no solution; too small and you spend all your time backtracking. There is no science behind the default, just an attempt to make a rational heuristic based on the number of degrees of freedom and the observation that about a third of the cells are given in a typical Sudoku puzzle. My experience with the default is:
topology comment brick 3,2,6 default is OK corresponding 3 default is OK cube 3 default is too large cube half default is OK cube full default is OK quincunx 3 default is too large sudoku 3 default is OK sudoku 4 default is OK sudokux 3 default is OK
Typically when I take the defaults I get a puzzle in anywhere from
a few seconds (most of the listed topologies) to a couple minutes
(sudoku 4) on an 800 Mhz G4. But I have never successfully generated
a Dion cube (cube 3). Caveat user.
The $max argument is the maximum number of givens in the puzzle. You may get less. The default is 1.5 times the minimum.
The $const argument specifies the constraints to be used in the generated puzzle. This may be specified either as a string or as a hash reference. If specified as a string, it is a whitespace-delimited list, with each constraint name possibly followed by an equals sign and a number to specify that that constraint can be used only a certain number of times. For example, 'F N ?=1' specifies a puzzle to be solved by use of any number of applications of the F and N constraints, and at most one guessed cell. If specified as a hash reference, the keys are the constraint names, and the values are the usage counts, with undef meaning no limit. The hash reference corresponding to 'F N ?=1' is {F => undef, N => undef, '?' => 1}. The default for this argument is to allow all known constraints except '?'.
In practice, the generator usually generates puzzles solvable using only the F constraint, or the F and N constraints.
The algorithm used is to generate a puzzle with the minimum number of cells selected at random, and then solve it. If a solution does not exist, we try again until we have tried generation_limit times, then we return undef. This means generate() is not guaranteed to generate a puzzle.
If we get a solution, we remove allowed constraints. If we run into a constraint that is not allowed, we either stop (if we're below the maximum number of givens) or turn it into a given value (if we're above the maximum). We stop unconditionally if we get down to the minimum number of givens. As a side effect, the generated puzzle is set up as a problem.
Note that if you allow guesses you may get puzzles with more than one solution.
This method returns the value of the named attribute. An exception is thrown if the given name does not correspond to an attribute that can be read. That is, the given name must appear on the list of attributes above, and not be marked "write-only".
If called in list context, you can pass multiple attribute names, and get back a list of their values. If called in scalar context, attribute names after the first are ignored.
This method pastes a problem from the clipboard.
See CLIPBOARD SUPPORT for what is needed for this to work.
This method specifies the problem to be solved, and sets the object up to solve the problem.
The problem is specified by a whitespace-delimited list of the symbols contained by each cell. You can format the puzzle definition into a square grid (e.g. the SYNOPSIS section), but to the parser a line break is no different than spaces. If you pass an empty string, an empty problem will be set up - that is, one in which all cells are empty.
An exception will be thrown if:
* The puzzle definition uses an unknown symbol; * The puzzle definition has a different number of cells from the topology definition; * There exists a set with more members than the number of symbols, excluding the "empty" symbol.
The whitespace delimiter is optional, provided that all symbol names are exactly one character long, and that you have not defined any symbol constraint names more than one character long since the last time you set the symbol names.
This method sets the value of the named attribute. An exception is thrown if the given name does not correspond to an attribute that can be written. That is, the given name must appear on the list of attributes above, and not be marked "read-only". An exception is also thrown if the value is invalid, e.g. a non-numeric value for an attribute marked "number".
You can pass multiple name-value pairs. If an exception is thrown, all settings before the exception will be made, and all settings after the exception will not be made.
The object itself is returned.
This method returns the next solution to the problem, or undef if there are no further solutions. The solution is a blank-delimited list of the symbols each cell contains, with line breaks as specified by the 'columns' attribute. If the problem() method has not been called, an exception is thrown.
Status values set:
SUDOKU_SUCCESS SUDOKU_NO_SOLUTION SUDOKU_TOO_HARD
This method returns the steps taken to solve the problem. If no solution was found, it returns the steps taken to determine this. If called in list context, you get an actual copy of the list. The first element is the name of the constraint applied:
F = forced: only one value works in this cell;
N = numeration or necessary: this is the only cell
that can supply the given value;
B = box claim: if a candidate number appears in only
one row or column of a given box, it can be
eliminated as a candidate in that row or column
but outside that box;
T = tuple, which is a generalization of the concept
pair, triple, and so on. These come in two
varieties for a given size of the tuple N:
naked: N cells contain among them N values, so
no cells outside the tuple can supply those
values.
hidden: N cells contain N values which do not
occur outside those cells, so any other values
in the tuple are supressed.
? = no constraint: generated in backtrack mode.
See http://www.research.att.com/~gsf/sudoku/ and http://www.angusj.com/sudoku/hints.php for fuller definitions of the constraints and how they are applied.
The second value is the cell number, as defined by the topology setting. For the 'sudoku' and 'latin' settings, the cells are numbered from zero, row-by-row. If you did your own topology, the first cell you defined is 0, the second is 1, and so on.
The third value is the value assigned to the cell. If returned in list context, it is the number assigned to the cell's symbol. If in scalar context, it is the symbol itself.
This method returns either the current puzzle or the current solution, depending on whether the solution() method has been called since the puzzle was loaded.
The distribution for this module also contains the script 'sudokug', which is a command-driven interface to this module.
Clipboard support is highly OS-specific. Here is the story by OS - or, really, by the contents of $^O:
Under cygwin, we first try to load the Win32::Clipboard module. If this succeeds, we use it. If not, we try to use the xclip program, available from http://freshmeat.net/project/xclip.
Under Darwin, also known as Mac OS X, we use the pbcopy programs to copy text to the clipboard, and pbpaste to retrieve text from the clipboard. These programs are supposed to come with Mac OS X. If pbcopy or pbpaste (depending on what we are trying to do) is not found, we try xclip, under the assumption that you are running Darwin without the Mac OS X overlay. The xclip program is available from http://freshmeat.net/project/xclip.
Under MacOS (meaning OS 9 or below) we currently have no way to put text onto the clipboard.
Under Windows, we use Win32::Clipboard if available.
Under any other operating system, we try to use the xclip program, available from http://freshmeat.net/project/xclip.
The X, Y, and W constraints (to use Glenn Fowler's terminology) are not yet handled. The package can solve puzzles that need these constraints, but it does so by backtracking.
Please report bugs either through http://rt.cpan.org/ or by mail to the author.
The author would like to acknowledge the following, without whom this module would not exist:
Glenn Fowler of AT&T, whose http://www.research.att.com/~gsf/sudoku/ provided the methodological starting point and basic terminology, whose 'sudoku' executable provided a reference implementation for checking the solutions of standard Sudoku puzzles, and whose constraint taxonomy data set provided invaluable test data.
Angus Johnson, whose fulsome explanation at http://www.angusj.com/sudoku/hints.php was a great help in understanding the mechanics of solving Sudoku puzzles.
Ed Pegg, Jr, whose Mathematical Association of America Math Games
column for September 5 2005
(http://www.maa.org/editorial/mathgames/mathgames_09_05_05.html)
provided a treasure trove of 'non-standard' Sudoku puzzles.
0.001 T. R. Wyant
Initial release to CPAN.
0.002 T. R. Wyant
Format solution nicely for multi-character symbols.
Fixed error in values eliminated by a hidden tuple.
Recoded 'set sudokug' in terms of 'set brick', thus
fixing an error in generating the small squares.
Added method add_set(), and recoded 'set sudokux' in
terms of this and 'set sudokug', thus fixing the
same error that 'set sudoku' had.
Put spaces in the result of scalar constraints_used.
Spiffed up the POD.
0.003 T. R. Wyant
Added 'set corresponding' and 'set max_tuple'.
Added cubic sudoku (via 'set cube').
Fixed horrendous inefficiency in backtrack logic.
0.004 T. R. Wyant
Added Dion cube (via 'set cube number').
0.005 T. R. Wyant
Added generate() method and generation_limit
attribute.
Added rows attribute. This changes the default
output for 'multi-faced' puzzles.
0.006 T. R. Wyant
Fixed problem with 'set corresponding'. Thanks
to David Jelinek of Central Michigan University
for diagnosing the problem and finding a
solution.
Corrected spelling.
Eliminated Scalar::Util::looks_like_number, since
apparently ActivePerl does not have it.
Add copy() method and autocopy attribute, for getting
generated puzzles onto the clipboard.
Add paste() method, for loading puzzles from the
clipboard.
Add unload() method.
0.007 T. R. Wyant
Corrected example in topology attribute documentation,
and other documentation tweaks.
Moved General.pm to lib/Games/Sudoku.
Added Build.PL
0.008 T. R. Wyant
Tweak docs.
Support unused cells.
Add drop_set() method to undo add_set().
Add 'null' attribute to generate a puzzle with no topology.
Add 'quincunx' attribute to generate a quincunx (a.k.a.
'Samurai Sudoku')
0.009 T. R. Wyant
'use 5.006', for 'our' at the very least.
Update 'SEE ALSO'
add =head1 LICENSE to POD.
0.010 T. R. Wyant
Fixed Build.PL to heed -y and -n options.
The Games-Sudoku package by Eugene Kulesha (see http://search.cpan.org/dist/Games-Sudoku/) solves the standard 9x9 version of the puzzle.
The Games-Sudoku-Component package by Kenichi Ishigaki (see http://search.cpan.org/dist/Games-Sudoku-Component/) both generates and solves the standard 9x9 version of the puzzle.
The Games-Sudoku-Component-TkPlayer by Kenichi Ishigaki (see http://search.cpan.org/dist/Games-Sudoku-Component-TkPlayer/). Tk front end for his Games-Sudoku-Component.
The Games-Sudoku-CPSearch package by Martin-Louis Bright (see http://search.cpan.prg/dist/Games-Sudoku-CPSearch/). Solves 9x9 Sudoku by use of "F" and "N" constraints and backtracking.
The Games-Sudoku-Lite package by Bob O'Neill (see http://search.cpan.org/dist/Games-Sudoku-Lite/) solves the standard 9x9 version of the puzzle.
The Games-Sudoku-OO package by Michael Cope (see http://search.cpan.org/dist/Games-Sudoku-OO/) also solves the standard 9x9 version of the puzzle, with an option to solve (to the extent possible) a single row, column, or square. The implementation may be extensible to other topologies than the standard one.
The Games-Sudoku-SudokuTk package by Christian Guine (see http://search.cpan.org/dist/Games-Sudoku-SudokuTk/ claims to implement a Tk-based Sudoku solver, but as of version 0.05 the kit seems to be incomplete.
The Games-YASudoku package by Andrew Wyllie (see http://search.cpan.org/dist/Games-YASudoku/) also solves the standard 9x9 version of the puzzle. In contrast to the other packages, this one represents the board as a list of cell/value pairs.
Thomas R. Wyant, III (wyant at cpan dot org)
Copyright 2005, 2006, 2008 by Thomas R. Wyant, III (wyant at cpan dot org). All rights reserved.
This module is free software; you can use it, redistribute it and/or modify it under the same terms as Perl itself. Please see http://perldoc.perl.org/index-licence.html for the current licenses.
| Games-Sudoku-General documentation | Contained in the Games-Sudoku-General distribution. |
use 5.006; # For 'our', at least. package Games::Sudoku::General; use strict; use warnings; use base qw{Exporter}; our $VERSION = '0.010'; our @EXPORT_OK = qw{ SUDOKU_SUCCESS SUDOKU_NO_SOLUTION SUDOKU_TOO_HARD SUDOKU_MULTIPLE_SOLUTIONS }; our %EXPORT_TAGS = ( all => \@EXPORT_OK, status => \@EXPORT_OK, ); use Carp; use Data::Dumper; use List::Util qw{first max reduce}; use POSIX qw{floor}; use constant SUDOKU_SUCCESS => 0; use constant SUDOKU_NO_SOLUTION => 1; use constant SUDOKU_TOO_HARD => 2; use constant SUDOKU_MULTIPLE_SOLUTIONS => 3; my @status_values = ( 'Success', 'No solution found', 'No solution found before exceeding iteration limit', 'Multiple solutions found', );
sub new { my $class = shift; my $self = bless {debug => 0, generation_limit => 30, iteration_limit => 0, output_delimiter => ' '}, $class; @_ and $self->set (@_); $self->{cell} or $self->set (sudoku => 3); $self->{symbol_list} or $self->set (symbols => join ' ', '.', 1 .. $self->{largest_set}); defined $self->{columns} or $self->set (columns => @{$self->{symbol_list}} - 1); defined $self->{status_value} or $self->set (status_value => SUDOKU_SUCCESS); defined $self->{max_tuple} or $self->set (max_tuple => 4); $self; }
sub add_set { my $self = shift; my $name = shift; $self->{set}{$name} and croak <<eod; Error - Set '$name' already exists. eod foreach my $inx (@_) {$self->{cell}[$inx] or croak <<eod} Error - Cell $inx does not exist. eod foreach my $inx (@_) { my $cell = $self->{cell}[$inx]; @{$cell->{membership}} or --$self->{cells_unused}; foreach my $other (@{$cell->{membership}}) { my $int = join ',', sort $other, $name; $self->{intersection}{$int} ||= []; push @{$self->{intersection}{$int}}, $inx; } @{$cell->{membership}} = sort $name, @{$cell->{membership}}; } $self->{set}{$name} = { name => $name, membership => [sort @_], }; $self->{largest_set} = max ($self->{largest_set}, scalar @{$self->{set}{$name}{membership}}); delete $self->{backtrack_stack}; # Force setting of new problem. }
sub constraints_used { my $self = shift; return unless $self->{constraints_used} && defined wantarray; return %{$self->{constraints_used}} if wantarray; my $rslt = join ' ', grep {$self->{constraints_used}{$_}} qw{F N B T X Y W ?}; $rslt; }
{ # Local symbol block. my $copier; sub copy { my $self = shift; $copier ||= $^O eq 'MSWin32' ? _copier_win32 () || croak <<eod : Error - Copy to clipboard unavailable. Can not load Win32::Clipboard. eod $^O eq 'cygwin' ? _copier_win32 () || _copier_xclip () || croak <<eod : Error - Copy to clipboard unavailable. Can not load Win32::Clipboard, and xclip has not been installed. For xclip, see http://freshmeat.net/projects/xclip eod $^O eq 'darwin' ? _copier_pbcopy () || _copier_xclip () || croak <<eod : Error - Copy to clipboard unavailable. Can not find the pbcopy program, which is supposed to come with Mac OS X. Can not find xclip either. For xclip, see http://freshmeat.net/projects/xclip. eod $^O eq 'MacOS' ? croak <<eod : Error - Copy to clipboard unavailable under Mac OS 9 or below. eod _copier_xclip () || croak <<eod; Error - Copy to clipboard unavailable. The xclip program has not been installed. See http://freshmeat.net/projects/xclip for a copy. eod $copier->($self->_unload ()); } } sub _copier_external { my ($code, $probe) = @_; no warnings qw{exec}; `$probe`; use warnings qw{exec}; $? ? undef : sub { my $hdl; open ($hdl, "|$code") or croak <<eod; Error - failed to open output handle to $code. $! eod print $hdl @_; ''; } } sub _copier_pbcopy { _copier_external (pbcopy => 'pbcopy -help 2>&1'); } sub _copier_xclip { _copier_external (xclip => 'xclip -o'); } sub _copier_win32 { eval "use Win32::Clipboard"; $@ ? undef : sub { (my $s = join '', @_) =~ s/\n/\r\n/mg; Win32::Clipboard->new ()->Set ($s); } }
sub drop_set { my ($self, $name) = @_; $self->{set}{$name} or croak <<eod; Error - Set '$name' not defined. eod foreach my $inx (@{$self->{set}{$name}{membership}}) { my $cell = $self->{cell}[$inx]; my @mbr; foreach my $other (@{$cell->{membership}}) { if ($other ne $name) { push @mbr, $other; my $int = join ',', sort $other, $name; delete $self->{intersection}{$int}; } } if (@mbr) { @{$cell->{membership}} = sort @mbr; } else { @{$cell->{membership}} = (); $self->{cells_unused}++; } } delete $self->{set}{$name}; $self->{largest_set} = 0; foreach (keys %{$self->{set}}) { $self->{largest_set} = max ($self->{largest_set}, scalar @{$self->{set}{$_}{membership}}); } delete $self->{backtrack_stack}; # Force setting of new problem. }
sub generate { my $self = shift; my $size = @{$self->{cell}} - $self->{cells_unused}; my $min = shift || do { floor ($size * $size / ($self->{largest_set} * keys %{$self->{set}})); }; my $max = shift || floor ($min * 1.5); my $const = shift || 'F N B T'; croak <<eod if ref $const && ref $const ne 'HASH'; Error - The constraints argument must be a string or a hash reference, not a @{[ref $const]} reference. eod $const = {map {my @ret; $_ and do { @ret = split '=', $_, 2; push @ret, undef while @ret < 2}; @ret} split '\s+', $const} unless ref $const eq 'HASH'; $self->{debug} and do { local $Data::Dumper::Terse = 1; print <<eod; Debug generate ($min, $max, @{[Dumper $const]}) eod }; my $syms = @{$self->{symbol_list}} - 1; croak <<eod if $min > $size; Error - You specified a minimum of $min given values, but the puzzle only contains $size cells. eod my $tries = $self->{generation_limit}; $size = @{$self->{cell}}; # Note equivocation on $size. local $Data::Dumper::Terse = 1; my @universe = $self->{cells_unused} ? grep @{$self->{cell}[$_]{membership}}, (0 .. @{$self->{cell}} - 1) : (0 .. @{$self->{cell}} - 1); while (--$tries >= 0) { $self->problem (); # We rely on this specifying an empty problem. ## my @ix = (0 .. $size - 1); my @ix = @universe; my $gen = 0; while ($gen++ < $min) { my ($inx) = splice @ix, floor (rand scalar @ix), 1; my $cell = $self->{cell}[$inx]; ## @{$cell->{membership}} or redo; # Ignore unused cells. my @pos = grep {!$cell->{possible}{$_}} 1 .. $syms or next; my $val = $pos[floor (rand scalar @pos)]; defined $val or confess <<eod, Dumper ($cell->{possible}); Programming error - generate() selected an undefined value for cell $inx. Possible values hash is: eod $self->_try ($cell, $val) and confess <<eod, Dumper ($cell->{possible}); Programming error - generate() tried to assign $val to cell $inx, but it was rejected. Possible values hash is: eod } $self->solution () or next; $self->_constraint_remove ($min, $max, $const); my $prob = $self->_unload ('', SUDOKU_SUCCESS); $self->problem ($prob); $self->copy ($prob) if $self->{autocopy}; return $prob; } return; } my %accessor = ( allowed_symbols => \&_get_allowed_symbols, columns => \&_get_value, debug => \&_get_value, generation_limit => \&_get_value, ## ignore_unused => \&_get_value, iteration_limit => \&_get_value, largest_set => \&_get_value, name => \&_get_value, output_delimiter => \&_get_value, rows => \&_get_value, status_text => \&_get_value, status_value => \&_get_value, symbols => \&_get_symbols, topology => \&_get_topology, );
sub get { my $self = shift; my @rslt; wantarray or @_ = ($_[0]); foreach my $name (@_) { exists $accessor{$name} or croak <<eod; Error - Attribute $name does not exist, or is write-only. eod push @rslt, $accessor{$name}->($self, $name); } wantarray ? @rslt : $rslt[0]; } sub _get_allowed_symbols { my $self = shift; my $rslt = ''; my $syms = @{$self->{symbol_list}}; foreach (sort keys %{$self->{allowed_symbols}}) { my @symlst; for (my $val = 1; $val < $syms; $val++) { push @symlst, $self->{symbol_list}[$val] if $self->{allowed_symbols}{$_}[$val]; } $rslt .= "$_=@{[join ',', @symlst]}\n"; } $rslt; } sub _get_symbols { my $self = shift; join ' ', @{$self->{symbol_list}}; } sub _get_topology { my $self = shift; my $rslt = ''; my $col = $self->{columns}; my $row = $self->{rows} ||= floor (@{$self->{cell}} / $col); foreach (map {join (',', @{$_->{membership}}) || ','} @{$self->{cell}}) { $rslt .= $_; if (--$col > 0) {$rslt .= ' '} else { $rslt .= "\n"; $col = $self->{columns}; if (--$row <= 0) { $rslt .= "\n"; $row = $self->{rows}; } } } 0 while chomp $rslt; $rslt .= "\n"; $rslt; } sub _get_value {$_[0]->{$_[1]}}
{ # Begin local symbol block my $paster; sub paste { my $self = shift; $paster ||= $^O eq 'MSWin32' ? _paster_win32 () || croak <<eod : Error - Paste from clipboard unavailable. Can not load Win32::Clipboard. eod $^O eq 'cygwin' ? _paster_win32 () || _paster_xclip () || croak <<eod : Error - Paste from clipboard unavailable. Can not load Win32::Clipboard, and xclip has not been installed. For xclip, see http://freshmeat.net/projects/xclip eod $^O eq 'darwin' ? _paster_pbpaste () || _paster_xclip () || croak <<eod : Error - Paste from clipboard unavailable. Can not find the pbpaste program, which is supposed to come with Mac OS X. Can not find xclip either. For xclip, see http://freshmeat.net/projects/xclip. eod $^O eq 'MacOS' ? croak <<eod : Error - Paste from clipboard unavailable under Mac OS 9 or below. eod _paster_xclip () || croak <<eod; Error - Paste from clipboard unavailable. The xclip program has not been installed. See http://freshmeat.net/projects/xclip for a copy. eod $self->problem ($paster->()); $self->_unload (); } } # End local symbol block sub _paster_external { my ($code, $probe) = @_; no warnings qw{exec}; `$probe`; use warnings qw{exec}; $? ? undef : sub { my $hdl; open ($hdl, "$code|") or croak <<eod; Error - failed to open input handle from $code. $! eod local $/ = undef; <$hdl>; } } sub _paster_pbpaste { _paster_external (pbpaste => 'pbpaste -help 2>&1'); } sub _paster_xclip { _copier_external ('xclip -o' => 'xclip -o'); } sub _paster_win32 { eval "use Win32::Clipboard"; $@ ? undef : sub { Win32::Clipboard->new ()->Get (); } }
sub problem { my $self = shift; my $val = shift || ''; $val =~ m/\S/ or $val = "$self->{symbol_list}[0] " x (scalar @{$self->{cell}} - $self->{cells_unused}); $val =~ s/\s+//g unless $self->{biggest_spec} > 1; $val =~ s/^\s+//; $val =~ s/\s+$//; $self->{debug} and print <<eod; Debug problem - Called with $val eod local $Data::Dumper::Terse = 1; $self->{largest_set} >= @{$self->{symbol_list}} and croak <<eod; Error - The largest set has $self->{largest_set} cells, but there are only @{[ @{$self->{symbol_list}} - 1]} symbols. Either the set definition is in error or the list of symbols is incomplete. eod my $syms = @{$self->{symbol_list}}; foreach (@{$self->{cell}}) { $_->{content} = $_->{chosen} = 0; $_->{possible} = {map {$_ => 0} (1 .. $syms - 1)}; } foreach (values %{$self->{set}}) { $_->{free} = @{$_->{membership}}; $_->{content} = [$_->{free}]; } $self->{cells_unassigned} = scalar @{$self->{cell}} - $self->{cells_unused}; my $hash = $self->{symbol_hash}; my $inx = 0; my $max = @{$self->{cell}}; foreach (split (($self->{biggest_spec} > 1 ? '\s+' : ''), $val)) { $inx >= $max and croak <<eod; Error - Too many cell specifications. The topology allows only $max. eod next unless defined $_; # was $self->{ignore_unused} $self->{cells_unused} && !@{$self->{cell}[$inx]{membership}} and do {$inx++; redo}; $self->{allowed_symbols}{$_} and do { $self->{debug} > 1 and print <<eod; Debug problem - Cell $inx allows symbol set $_ eod my $cell = $self->{cell}[$inx]; @{$cell->{membership}} or croak <<eod; Error - Cell $inx is unused, and must be specified as empty. eod for (my $val = 1; $val < $syms; $val++) { next if $self->{allowed_symbols}{$_}[$val]; $cell->{possible}{$val} = 1; } }; defined $hash->{$_} or $_ = $self->{symbol_list}[0]; @{$self->{cell}[$inx]{membership}} || $_ eq $self->{symbol_list}[0] or croak <<eod; Error - Cell $inx is unused, and must be specified as empty. eod $self->{debug} > 1 and print <<eod; Debug problem - Cell $inx specifies symbol $_ eod $self->_try ($inx, $hash->{$_}) and croak <<eod; Error - Symbol '$_' appears more than once in a set. The problem loaded thus far is: @{[$self->_unload (' ')]} eod $self->{cell}[$inx]{chosen} = $hash->{$_} ? 1 : 0; } continue { $inx++; } unless ($inx == $max) { # was $self->{ignore_unused} $self->{cells_unused} and do { $inx -= $self->{cells_unused}; $max -= $self->{cells_unused}; }; croak <<eod; Error - Not enough cell specifications. you gave $inx but the topology defined $max. eod } $self->{constraints_used} = {}; $self->{debug} and print <<eod; Debug problem - problem loaded. eod $self->{backtrack_stack} = []; $self->{cell_order} = []; delete $self->{no_more_solutions}; $self->{debug} > 1 and print " object = ", Dumper ($self); $self; } my %mutator = ( allowed_symbols => \&_set_allowed_symbols, autocopy => \&_set_value, brick => \&_set_brick, columns => \&_set_number, debug => \&_set_number, corresponding => \&_set_corresponding, cube => \&_set_cube, generation_limit => \&_set_number, ## ignore_unused => \&_set_value, iteration_limit => \&_set_number, latin => \&_set_latin, max_tuple => \&_set_number, name => \&_set_value, null => \&_set_null, output_delimiter => \&_set_value, quincunx => \&_set_quincunx, rows => \&_set_number, status_value => \&_set_status_value, sudoku => \&_set_sudoku, sudokux => \&_set_sudokux, symbols => \&_set_symbols, topology => \&_set_topology, );
sub set { my $self = shift; while (@_) { my $name = shift; exists $mutator{$name} or croak <<eod; Error - Attribute $name does not exist, or is read-only. eod $mutator{$name}->($self, $name, shift); } $self; } sub _set_allowed_symbols { my $self = shift; my $name = shift; my $value = shift || ''; my $maxlen = 0; $self->{debug} and print <<eod; Debug allowed_symbols being set to '$value' eod if ($value) { foreach (split '\s+', $value) { my ($name, $value) = split '=', $_, 2; croak <<eod if $self->{symbol_hash}{$name}; Error - You can not use '$name' as a symbol constraint name, because it is a valid symbol name. eod $value or do {delete $self->{allowed_symbols}{$name}; next}; $maxlen = max ($maxlen, length ($name)); $self->{debug} > 1 and print <<eod; Debug allowed_symbols - $_ set name '$name' has length @{[length ($name)]}. Maxlen now $maxlen. eod my $const = $self->{allowed_symbols}{$name} = []; foreach (split ',', $value) { $self->{debug} > 1 and print <<eod; Debug allowed_symbols - Adding symbol '$_' to set '$name'. eod $self->{symbol_hash}{$_} or croak <<eod; Error - '$_' is not a valid symbol. eod $const->[$self->{symbol_hash}{$_}] = 1; } } } else { $self->{allowed_symbols} = {}; } $self->{biggest_spec} = $maxlen if $maxlen > $self->{biggest_spec}; } sub _set_brick { my $self = shift; my $name = shift; my ($horiz, $vert, $size) = ref $_[0] ? @{$_[0]} : split ',', $_[0]; $size ||= $horiz * $vert; $size % $horiz || $size % $vert and croak <<eod; Error - The puzzle size $size must be a multiple of both the horizontal brick size $horiz and the vertical brick size $vert. eod my $rowmul = floor ($size / $horiz); my $syms = '.'; my $topo = ''; for (my $row = 0; $row < $size; $row++) { $syms .= " @{[$row + 1]}"; for (my $col = 0; $col < $size; $col++) { $topo .= sprintf ' r%d,c%d,s%d', $row, $col, floor ($row / $vert) * $rowmul + floor ($col / $horiz); } } substr ($topo, 0, 1, ''); $self->set (columns => $size, rows => $size, symbols => $syms, topology => $topo); } sub _set_corresponding { my $self = shift; my $name = shift; my $order = shift; my $size = $order * $order; $self->set (sudoku => $order); my $order_minus_1 = $order - 1; my $offset = $size * $order; for (my $inx = 0; $inx < $size; $inx++) { my $base = floor ($inx / $order) * $size + $inx % $order; $self->add_set ("u$inx", map { my $g = $_ * $offset + $base; (map {$_ * $order + $g} 0 .. $order_minus_1)} 0 .. $order_minus_1); } } my %cube = ( full => <<eod, c0,r0,s0 c1,r0,s0 c2,r0,s0 c3,r0,s0 c0,r1,s0 c1,r1,s0 c2,r1,s0 c3,r1,s0 c0,r2,s0 c1,r2,s0 c2,r2,s0 c3,r2,s0 c0,r3,s0 c1,r3,s0 c2,r3,s0 c3,r3,s0 p0,r0,s1 p0,r1,s1 p0,r2,s1 p0,r3,s1 p1,r0,s1 p1,r1,s1 p1,r2,s1 p1,r3,s1 p2,r0,s1 p2,r1,s1 p2,r2,s1 p2,r3,s1 p3,r0,s1 p3,r1,s1 p3,r2,s1 p3,r3,s1 c0,p0,s2 c1,p0,s2 c2,p0,s2 c3,p0,s2 c0,p1,s2 c1,p1,s2 c2,p1,s2 c3,p1,s2 c0,p2,s2 c1,p2,s2 c2,p2,s2 c3,p2,s2 c0,p3,s2 c1,p3,s2 c2,p3,s2 c3,p3,s2 p0,r3,s3 p0,r2,s3 p0,r1,s3 p0,r0,s3 p1,r3,s3 p1,r2,s3 p1,r1,s3 p1,r0,s3 p2,r3,s3 p2,r2,s3 p2,r1,s3 p2,r0,s3 p3,r3,s3 p3,r2,s3 p3,r1,s3 p3,r0,s3 c0,r3,s4 c1,r3,s4 c2,r3,s4 c3,r3,s4 c0,r2,s4 c1,r2,s4 c2,r2,s4 c3,r2,s4 c0,r1,s4 c1,r1,s4 c2,r1,s4 c3,r1,s4 c0,r0,s4 c1,r0,s4 c2,r0,s4 c3,r0,s4 c0,p3,s5 c1,p3,s5 c2,p3,s5 c3,p3,s5 c0,p2,s5 c1,p2,s5 c2,p2,s5 c3,p2,s5 c0,p1,s5 c1,p1,s5 c2,p1,s5 c3,p1,s5 c0,p0,s5 c1,p0,s5 c2,p0,s5 c3,p0,s5 eod half => <<eod, r0,c0,s0 r0,c1,s0 r0,c2,s0 r0,c3,s0 r1,c0,s0 r1,c1,s0 r1,c2,s0 r1,c3,s0 r2,c0,s1 r2,c1,s1 r2,c2,s1 r2,c3,s1 r3,c0,s1 r3,c1,s1 r3,c2,s1 r3,c3,s1 p0,c0,s2 p0,c1,s2 p0,c2,s3 p0,c3,s3 p1,c0,s2 p1,c1,s2 p1,c2,s3 p1,c3,s3 p2,c0,s2 p2,c1,s2 p2,c2,s3 p2,c3,s3 p3,c0,s2 p3,c1,s2 p3,c2,s3 p3,c3,s3 p0,r3,s4 p0,r2,s4 p0,r1,s4 p0,r0,s4 p1,r3,s4 p1,r2,s4 p1,r1,s4 p1,r0,s4 p2,r3,s5 p2,r2,s5 p2,r1,s5 p2,r0,s5 p3,r3,s5 p3,r2,s5 p3,r1,s5 p3,r0,s5 eod ); sub _set_cube { my $self = shift; my $name = shift; my $type = shift; if ($type =~ m/\D/) { $cube{$type} or croak <<eod; Error - Cube type '$type' is not defined. Legal values are numeric (for Dion cube), or one of @{[join ', ', map {"'$_'"} sort keys %cube]} eod $self->set (topology => $cube{$type}, columns => 4, rows => 4); } else { my $size = $type * $type; my $topo = ''; for (my $x = 0; $x < $size; $x++) { for (my $y = 0; $y < $size; $y++) { for (my $z = 0; $z < $size; $z++) { $topo .= join (',', _cube_set_names ($type, x => $x, $y, $z), _cube_set_names ($type, y => $y, $z, $x), _cube_set_names ($type, z => $z, $x, $y)) . ' '; } } } $self->set (topology => $topo, columns => $size, rows => $size); } $self->set (symbols => join ' ', '.', 1 .. $self->{largest_set}); } sub _cube_set_names { my ($order, $name, $x, $y, $z) = @_; my $tplt = sprintf '%s%d%%s%%d', $name, $x; map {sprintf $tplt, @$_} [r => $y], [c => $z], [s => floor ($y / $order) * $order + floor ($z / $order)] } sub _set_latin { my $self = shift; my $name = shift; my $size = shift; my $syms = '.'; my $topo = ''; my $letter = 'A'; for (my $row = 0; $row < $size; $row++) { $syms .= " @{[$letter++]}"; for (my $col = 0; $col < $size; $col++) { $topo .= sprintf ' r%d,c%d', $row, $col; } } substr ($topo, 0, 1, ''); $self->set (columns => $size, rows => $size, symbols => $syms, topology => $topo); } sub _set_null { my $self = shift; my $name = shift; my ($size, $columns, $rows) = ref $_[0] ? @{$_[0]} : split ',', $_[0]; $self->{cell} = []; # The cells themselves. $self->{set} = {}; # The sets themselves. $self->{largest_set} = 0; $self->{intersection} = {}; $self->{cells_unused} = $size; foreach my $cell_inx (0 .. $size - 1) { my $cell = {membership => [], index => $cell_inx}; push @{$self->{cell}}, $cell; } delete $self->{backtrack_stack}; # Force setting of new problem. defined $columns and $self->set (columns => $columns); defined $rows and $self->set (rows => $rows); } sub _set_number { my $self = shift; my $name = shift; my $value = shift; _looks_like_number ($value) or croak <<eod; Error - Attribute $name must be numeric. eod $self->{$name} = $value; } sub _set_quincunx { my $self = shift; my $name = shift; my ($order, $gap) = ref $_[0] ? @{$_[0]} : split ',', $_[0]; $order =~ m/\D/ and croak <<eod; Error - The quincunx order must be an integer. eod if (defined $gap) { $gap =~ m/\D/ and croak <<eod; Error - The quincunx gap must be an integer. eod $gap > $order - 2 and croak <<eod; Error - The quincunx gap must not be greater than the order ($order) - 2. eod $gap % 2 == $order % 2 or croak <<eod; Error - The gap must be the same parity (odd or even) as the order. eod } else { $gap = $order % 2; } my $cols = ($order * 2 + $gap) * $order; $self->set(null => [$cols * $cols, $cols, $cols]); my $osq = $order * $order; $self->set(symbols => join (' ', '.', 1 .. $osq)); my @squares = do { # Squares in terms of index of top left corner my $offset = ($order + $gap) * $order; my $inset = ($order - ($order - $gap) / 2) * $order; ( 0, # Top left square $offset, # Top right square $inset * $cols + $inset, # Middle square $offset * $cols, # Bottom left square $offset * ($cols + 1), # Bottom right square ) }; my $limit = $osq - 1; my @colinx = map $_ * $cols, 0 .. $limit; my @sqinx = map $_ .. $_ + $order - 1, map $_ * $cols, 0 .. $order - 1; my @sqloc = map $_ * $order, @sqinx; my @sqgened; # 's' sets generated, by origin cell. # Crete the row, column, and square sets. These have the same names # as those created by the corresponding 'sudoku' topology, but with # 'g0' .. 'g4' prepended, representing the five individual # 'standard' sudoku grids. For topology 'quincunx 3', the top left # cell is in sets g0c0,g0r0,g0s0, the top right in g1c8,g1r0,g1s2, # and so on. Because some of the 's' sets are duplicates, the # higher-numbered ones are supressed. In topology 'quincunx 3', set # g0s8 is the same as g2s0, so the latter is supressed. foreach my $grid (0 .. $#squares) { my $sqr = $squares[$grid]; foreach my $inx (0 .. $limit) { my $offset = $inx * $cols; my $o1 = $offset + $sqr; $self->add_set("g${grid}r$inx" => $o1 .. $o1 + $limit); $self->add_set("g${grid}c$inx" => map $_ + $inx + $sqr, @colinx); $o1 = $sqloc[$inx] + $sqr; $sqgened[$o1]++ or $self->add_set("g${grid}s$inx" => map $_ + $o1, @sqinx); } } } sub _set_status_value { my $self = shift; my $name = shift; my $value = shift; _looks_like_number ($value) or croak <<eod; Error - Attribute $name must be numeric. eod $value < 0 || $value >= @status_values and croak <<eod; Error - Attribute $name must be greater than or equal to 0 and less than @{[scalar @status_values]} eod $self->{status_value} = $value; $self->{status_text} = $status_values[$value]; } sub _set_sudoku { my $self = shift; my $name = shift; my $order = shift; $self->set (brick => [$order, $order, $order * $order]); } sub _set_sudokux { my $self = shift; my $name = shift; my $order = shift; $self->set (sudoku => $order); my $size = $order * $order; my $size_minus_1 = $size - 1; my $size_plus_1 = $size + 1; $self->add_set (d0 => map {$_ * $size_plus_1} 0 .. $size_minus_1); $self->add_set (d1 => map {$_ * $size_minus_1} 1 .. $size); } sub _set_symbols { my $self = shift; my $name = shift; my $value = shift; my @lst = split '\s+', $value; my %hsh; my $inx = 0; my $maxlen = 0; foreach (@lst) { defined $_ or next; m/,/ and croak <<eod; Error - Symbols may not contain commas. eod exists $hsh{$_} and croak <<eod; Error - Symbol '$_' specified more than once. eod $hsh{$_} = $inx++; $maxlen = max ($maxlen, length ($_)); } $self->{symbol_list} = \@lst; $self->{symbol_hash} = \%hsh; $self->{symbol_number} = scalar @lst; $self->{biggest_spec} = $self->{biggest_symbol} = $maxlen; $self->{allowed_symbols} = {}; } sub _set_topology { my $self = shift; my $name = shift; $self->{cell} = []; # The cells themselves. $self->{set} = {}; # The sets themselves. $self->{largest_set} = 0; $self->{intersection} = {}; $self->{cells_unused} = 0; my $cell_inx = 0; foreach my $cell_def (map {split '\s+', $_} @_) { my $cell = {membership => [], index => $cell_inx}; push @{$self->{cell}}, $cell; foreach my $name (sort grep $_ ne '', split ',', $cell_def) { foreach my $other (@{$cell->{membership}}) { my $int = "$other,$name"; $self->{intersection}{$int} ||= []; push @{$self->{intersection}{$int}}, $cell_inx; } push @{$cell->{membership}}, $name; my $set = $self->{set}{$name} ||= {name => $name, membership => []}; push @{$set->{membership}}, $cell_inx; $self->{largest_set} = max ($self->{largest_set}, scalar @{$set->{membership}}); } @{$cell->{membership}} or $self->{cells_unused}++; $cell_inx++; } delete $self->{backtrack_stack}; # Force setting of new problem. } sub _set_value {$_[0]->{$_[1]} = $_[2]}
sub solution { my $self = shift; $self->{backtrack_stack} or croak <<eod; Error - You cannot call the solution() method unless you have specified the problem via the problem() method. eod $self->{debug} and print <<eod; Debug solution - entering method. Stack depth = @{[ scalar @{$self->{backtrack_stack}}]} eod $self->_constrain (); }
sub steps { my $self = shift; wantarray ? (@{$self->{backtrack_stack}}) : defined wantarray ? $self->_format_constraint (@{$self->{backtrack_stack}}) : undef; }
sub unload { my $self = shift; $self->_unload () } ######################################################################## # Private methods and subroutines. # $status_value = $su->_constrain (); # This method applies all possible constraints to the current # problem, placing them on the backtrack stack. The backtrack # algorithm needs to remove these when backtracking. The return # is false if we ran out of constraints, or true if we found # a constraint that could not be satisfied. my %constraint_method = ( '?' => '_constraint_backtrack', ); sub _constrain { my $self = shift; my $stack = $self->{backtrack_stack} ||= []; # May hit this when initializing. my $used = $self->{constraints_used} ||= {}; ##my $syms = @{$self->{symbol_list}}; my $iterations = $self->{iteration_limit} if $self->{iteration_limit} > 0; $self->{no_more_solutions} and return $self->_unload (undef, SUDOKU_NO_SOLUTION); @{$self->{backtrack_stack}} and do { $self->_constraint_remove and return $self->_unload (undef, SUDOKU_NO_SOLUTION); }; $self->{cells_unassigned} or do { $self->{no_more_solutions} = 1; return $self->_unload ('', SUDOKU_SUCCESS); }; my $number_of_cells = @{$self->{cell}}; constraint_loop: { # Begin outer constraint loop. foreach my $constraint (qw{F N B T ?}) { confess <<eod if @{$self->{cell}} != $number_of_cells; Programming error - Before trying $constraint constraint. We started with $number_of_cells cells, but now have @{[ scalar @{$self->{cell}}]}. eod my $method = $constraint_method{$constraint} || "_constraint_$constraint"; my $rslt = $self->$method () or next; @$rslt or next; foreach my $constr (@$rslt) { if (ref $constr) { push @$stack, $constr; $used->{$constr->[0]}++ } else { my $rslt = $self->_constraint_remove or redo constraint_loop; return $self->_unload ('', $rslt); } } $self->{cells_unassigned} or return $self->_unload ('', SUDOKU_SUCCESS); redo constraint_loop; } } # end outer constraint loop. $self->set (status_value => SUDOKU_TOO_HARD); return undef; } # Constraint executors: # These all return a reference to the constraints to be stacked, # provided progress was made. Otherwise they return 0. At the # point a contradiction is found, they push 'backtrack' on the # end of the list to be returned, and return immediately. # F constraint - only one value possible. Unlike the other # constraints, we keep iterating this one until we make no # progress. sub _constraint_F { my $self = shift; my @stack; my $done = 1; while ($done) { $done = 0; my $inx = 0; # Cell index. foreach my $cell (@{$self->{cell}}) { next if $cell->{content}; # Skip already-assigned cells. next unless @{$cell->{membership}}; # Skip unused cells. my $pos = 0; foreach (values %{$cell->{possible}}) {$_ or $pos++}; if ($pos > 1) { # > 1 possibility. Can't apply. } elsif ($pos == 1) { # Exactly 1 possibility. Apply. my $val; foreach (keys %{$cell->{possible}}) { next if $cell->{possible}{$_}; $val = $_; last; } $self->_try ($cell, $val) and confess <<eod; Programming error - Passed 'F' constraint but _try failed. eod my $constraint = [F => [$inx, $val]]; $self->{debug} and print '# ', $self->_format_constraint ($constraint); $done++; push @stack, $constraint; $self->{cells_unassigned} or do {$done = 0; last}; } else { # No possibilities. Backtrack. $self->{debug} and print <<eod; Debug - Cell $inx has no possible values. Backtracking. eod $self->{debug} > 1 and do { local $Data::Dumper::Terse = 1; print Dumper $cell; }; push @stack, 'backtrack'; $done = 0; last; } } continue { $inx++; } } return \@stack; } # N constraint - the only cell which supplies a necessary value. sub _constraint_N { my $self = shift; while (my ($name, $set) = each %{$self->{set}}) { my @suppliers; foreach my $inx (@{$set->{membership}}) { my $cell = $self->{cell}[$inx]; next if $cell->{content}; # No need to check @{$cell->{membership}}, since the cell is # known to be a member of set $name. while (my ($val, $count) = each %{$cell->{possible}}) { next if $count; $suppliers[$val] ||= []; push @{$suppliers[$val]}, $inx; } } my $limit = @suppliers; for (my $val = 1; $val < $limit; $val++) { next unless $suppliers[$val] && @{$suppliers[$val]} == 1; my $inx = $suppliers[$val][0]; $self->_try ($inx, $val) and confess <<eod, $self->{debug} ? <<eod : (); Programming error - Cell $inx passed 'N' constraint but try of $self->{symbol_list}[$val] failed. eod @{[$self->_unload ]} set: $name cell: @{[Dumper ($self->{cell}[$inx])]} eod my $constraint = [N => [$inx, $val]]; $self->{debug} and print '# ', $self->_format_constraint ($constraint); keys %{$self->{set}}; # Reset iterator. return [$constraint]; } } return []; } # B constraint - "box claim". Given two sets whose intersection # contains more than one cell, if all cells which can contribute # a given value to one set are in the intersection, no cell in # the second set can contribute that value. Note that this # constraint does NOT actually assign a value to a cell, it just # eliminates possible values. The name is because on the # "standard" sudoku layout one of the sets is always a box; the # other can be a row or a column. sub _constraint_B { my $self = shift; my $done = 0; while (my ($int, $cells) = each %{$self->{intersection}}) { next unless @$cells > 1; my @int_supplies; # Values supplied by the intersection my %int_cells; # Cells in the intersection foreach my $inx (@$cells) { next if $self->{cell}[$inx]{content}; # No need to check @{$cell->{membership}}, since the cell is # known to be a member of at least two sets. $int_cells{$inx} = 1; while (my ($val, $imposs) = each %{$self->{cell}[$inx]{possible}}) { $int_supplies[$val] = 1 unless $imposs; } } my %ext_supplies; # Intersection values also supplied outside. my %ext_cells; # Cells not in the intersection. my @set_names = split ',', $int; foreach my $set (@set_names) { $ext_supplies{$set} = []; $ext_cells{$set} = []; foreach my $inx (@{$self->{set}{$set}{membership}}) { next if $int_cells{$inx}; # Skip cells in intersection. next if $self->{cell}[$inx]{content}; push @{$ext_cells{$set}}, $inx; while (my ($val, $imposs) = each %{$self->{cell}[$inx]{possible}}) { $ext_supplies{$set}[$val] = 1 if !$imposs && $int_supplies[$val]; } } } for (my $val = 1; $val < @int_supplies; $val++) { next unless $int_supplies[$val]; my @occurs_in = grep {$ext_supplies{$_}[$val]} @set_names; next unless @occurs_in && @occurs_in < @set_names; my %cells_claimed; foreach my $set (@occurs_in) { foreach my $inx (@{$ext_cells{$set}}) { next if $self->{cell}[$inx]{possible}{$val}; $cells_claimed{$inx} = 1; $self->{cell}[$inx]{possible}{$val} = 1; $done++; } } next unless $done; my $constraint = [B => [[sort keys %cells_claimed], $val]]; $self->{debug} and print '# ', $self->_format_constraint ($constraint); keys %{$self->{intersection}}; # Reset iterator. return [$constraint]; } } return [] } # T constraint - "tuple" (double, triple, quad). These come in # two flavors, "naked" and "hidden". Considering only pairs for # the moment: # A "naked pair" is two cells in the same set which contain the same # pair of possibilities, and only those possibilities. These # possibilities are then excluded from other cells in the set. # A "hidden pair" is when there is a pair of values which can only # be contributed to the set by one or the other of a pair of # cells. These cells then must supply these values, and any other # values supplied by cells in the pair can be eliminated. # For higher groups (triples, quads ...) the rules generalize, except # that all of the candidate values need not be present in all of # the cells under consideration; it is only necessary that none # of the candidate values appears outside the cells under # consideration. # # Glenn Fowler of AT&T (http://www.research.att.com/~gsf/sudoku/) # lumps all these together. But he refers to Angus Johnson # (http://www.angusj.com/sudoku/hints.php) for the details, and # Angus separates naked and hidden tuples. sub _constraint_T { my $self = shift; my @tuple; # Tuple indices my %vacant; # Empty cells by set. $vacant{$set} = [$cell ...] my %contributors; # Number of cells which can contrib value, by set. my $syms = @{$self->{symbol_list}}; while (my ($name, $set) = each %{$self->{set}}) { my @open = grep {!$_->{content}} map {$self->{cell}[$_]} @{$set->{membership}} or next; # No need to check @{$_->{membership}} in the grep, since cell $_ is # known to be a member of set $name. foreach my $cell (@open) { for (my $val = 1; $val < $syms; $val++) { $cell->{possible}{$val} and next; $contributors{$name} ||= []; $contributors{$name}[$val]++; } } @{$contributors{$name}} = map {$_ || 0} @{$contributors{$name}}; $vacant{$name} = \@open; $tuple[scalar @open] ||= [map {[$_]} 0 .. $#open]; } for (my $order = 2; $order <= $self->{max_tuple}; $order++) { for (my $inx = 1; $inx < @tuple; $inx++) { next unless $tuple[$inx]; my $max = $inx - 1; $tuple[$inx] = [map {my @tpl = @$_; map {[@tpl, $_]} $tpl[$#tpl] + 1 .. $max} grep {$_->[@$_ - 1] < $max} @{$tuple[$inx]}]; $tuple[$inx] = undef unless @{$tuple[$inx]}; } # Okay, I have generated the blasted tuples. Now I need to take # the union of all values provided by the tuple of cells. If the # number of values in this union is equal to the current order, I # have potentially found a naked tuple, and if this lets me # eliminate any values outside the tuple I can apply the # constraint. If the number of values inside the union is greater # than the current order, I need to consider whether any tuple of # supplied values is not represented outside the cell tuple; if # so, I have a hidden tuple and can eliminate the superfluous # values. foreach my $name (keys %vacant) { my $open = $vacant{$name}; next unless $tuple[@$open]; my $contributed = $contributors{$name}; foreach my $tuple (@{$tuple[@$open]}) { my @tcontr; # number of times each value contributed by the tuple. foreach my $inx (@$tuple) { my $cell = $open->[$inx]; for (my $val = 1; $val < $syms; $val++) { next if $cell->{possible}{$val}; $tcontr[$val]++; } } @tcontr = map {$_ || 0} @tcontr; # At this point, @tcontr contains how many cells in the tuple # contribute each value. Calculate the number of discrete values # the tuple can contribute. # If the number of discrete values contributed by the tuple is # equal to the current order, we have a naked tuple. We have an # "effective" naked tuple if at least one of the values # contributed by the tuple occurs outside the tuple. We can # determine this by subtracting the values in @tcontr from the # corresponding values in @$contributed; if we get a positive # result for any cell, we have an "effective" naked tuple. my $discrete = grep {$_} @tcontr; my $constraint; my @tuple_member; if ($discrete == $order) { for (my $val = 1; $val < @tcontr; $val++) { next unless $tcontr[$val] && $contributed->[$val] > $tcontr[$val]; # At this point we know we have an "effective" naked tuple. $constraint ||= ['T', 'naked', $order]; @tuple_member or map {$tuple_member[$_] = 1} @$tuple; my @ccl; for (my $inx = 0; $inx < @$open; $inx++) { next if $tuple_member[$inx] || $open->[$inx]{possible}{$val}; $open->[$inx]{possible}{$val} = 1; --$contributed->[$val]; push @ccl, $open->[$inx]{index}; } push @$constraint, [\@ccl, $val] if @ccl; } } # If the number of discrete values is greater than the current # order, we may have a hidden tuple. The test for an "effective" # hidden tuple involves massaging @tcontr against @$contributed in # some way to find a tuple of values within the tuple of cells # which do not occur outside it. elsif ($discrete > $order) { my $within = 0; # Number of values occuring only within tuple. for (my $val = 1; $val < @tcontr; $val++) { $within++ if $tcontr[$val] && $contributed->[$val] == $tcontr[$val]; } next unless $within >= $order; $constraint = ['T', 'hidden', $order]; map {$tuple_member[$_] = 1} @$tuple; for (my $val = 1; $val < @tcontr; $val++) { next unless $tcontr[$val] && $contributed->[$val] > $tcontr[$val]; my @ccl; for (my $inx = 0; $inx < @$open; $inx++) { next unless $tuple_member[$inx] && !$open->[$inx]{possible}{$val} ; $open->[$inx]{possible}{$val} = 1; --$contributed->[$val]; --$tcontr[$val]; push @ccl, $open->[$inx]{index}; } push @$constraint, [\@ccl, $val] if @ccl; } } next unless $constraint; $self->{debug} and print '# ', $self->_format_constraint ($constraint); return [$constraint]; } # Next tuple } # Next set containing vacant cells } # Next order return []; } # ? constraint - initiate backtracking. sub _constraint_backtrack { my $self = shift; ##--$iterations >= 0 or return $self->_unload ('', SUDOKU_TOO_HARD) ## if defined $iterations; my @try; my $syms = @{$self->{symbol_list}}; foreach my $cell (@{$self->{cell}}) { next if $cell->{content}; next unless @{$cell->{membership}}; my $possible = 0; for (my $val = 1; $val < $syms; $val++) { $possible++ unless $cell->{possible}{$val}; } $possible or return ['backtrack']; push @try, [$cell, $possible]; } @try = map {$_->[0]} sort {$a->[1] <=> $b->[1] || $a->[0]{index} <=> $b->[0]{index}} @try; my $cell = $try[0]; for (my $val = 1; $val < $syms; $val++) { next if $cell->{possible}{$val}; $self->_try ($cell, $val) and confess <<eod; Programming error - Value $val illegal in cell $cell->{index} for ? constraint, but \$self->{possible}{$val} = $self->{possible}{$val} eod my $constraint = ['?' => [$cell->{index}, $val]]; $self->{debug} and print '# ', $self->_format_constraint ($constraint); return [$constraint]; } return []; } # $status_value = $su->_constraint_remove (); # This method removes the topmost constraints from the backtrack # stack. It continues until the next item is a backtrack item or # the stack is empty. It returns true (SUDOKU_NO_SOLUTION, # actually) if the stack is emptied, or false (SUDOKU_SUCCESS, # actually) if it stops because it found a backtrack item. # The following arguments may be passed, for use in preparing # a generated problem: # - minimum number of cells to leave occupied (no lower limit # if this is undefined); # - maximum number of cells to leave occupied (no upper limit # if this is undefined); # - a reference to a hash of constraints that it is legal to # remove. The hash value is the number of times it is # legal to remove that constraint, or undef if it can # be removed any number of times. sub _constraint_remove { my $self = shift; my $min = shift; $min and $min = @{$self->{cell}} - $min; my $max = shift; $max and $max = @{$self->{cell}} - $max; my $removal_ok = shift; $self->{no_more_solutions} and return SUDOKU_NO_SOLUTION; my $stack = $self->{backtrack_stack} or return SUDOKU_NO_SOLUTION; my $used = $self->{constraints_used} ||= {}; my $inx = @$stack; my $syms = @{$self->{symbol_list}}; $self->{debug} && $inx and print <<eod; # Debug - Backtracking eod my $old = $inx; while (--$inx >= 0) { $min && $self->{cells_unassigned} >= $min and do { $self->{debug} and print <<eod; Debug - Hit minimum occupied cells - returning. eod return SUDOKU_SUCCESS; }; my $constraint = $stack->[$inx][0]; if ($removal_ok) { $max && $self->{cells_unassigned} <= $max && ## && !$removal_ok->{$constraint} and next; !exists $removal_ok->{$constraint} and next; if (!exists $removal_ok->{$constraint}) { $self->{debug} and print <<eod; Debug - Encountered constraint $constraint - returning. eod return SUDOKU_SUCCESS; } elsif (defined $removal_ok->{$constraint} && --$removal_ok->{$constraint}) { $self->{debug} and print <<eod; Debug - Reached usage limit on $constraint - returning. eod return SUDOKU_SUCCESS; } } else { $max && $self->{cells_unassigned} <= $max && $constraint eq '?' and next; } --$used->{$constraint}; if ($constraint eq 'F' || $constraint eq 'N') { foreach my $ref (reverse @{$stack->[$inx]}) { $self->_try ($ref->[0], 0) if ref $ref; } } elsif ($constraint eq 'B' || $constraint eq 'T') { foreach my $ref (reverse @{$stack->[$inx]}) { next unless ref $ref; my $val = $ref->[1]; foreach my $inx (@{$ref->[0]}) { $self->{cell}[$inx]{possible}{$val} = 0; } } } elsif ($constraint eq '?') { my $start = $stack->[$inx][1][1] + 1; my $cell = $self->{cell}[$stack->[$inx][1][0]]; $self->_try ($cell, 0); next if $removal_ok; for (my $val = $start; $val < $syms; $val++) { next if $cell->{possible}{$val}; $self->_try ($cell, $val) and confess <<eod; Programming error - Try of $val in cell $cell->{index} failed, but \$cell->{possible}[$inx] = $cell->{possible}[$inx] eod $used->{$constraint}++; $stack->[$inx][1][0] = $cell->{index}; $stack->[$inx][1][1] = $val; $self->{debug} and do { my $x = $self->_format_constraint ($stack->[$inx]); chomp $x; print <<eod; # Debug - Backtrack complete. @{[$old - @$stack]} constraints removed. # Resuming puzzle at stack depth @{[$inx + 1]} with # $self->{cells_unassigned} unassigned cells, guessing # $x eod }; return SUDOKU_SUCCESS; } } else {confess <<eod} Programming Error - No code provided to remove constraint '$constraint' from stack. eod pop @$stack; } $self->{debug} and print <<eod; # Debug - Backtrack complete. @{[$old - @$stack]} constraints removed. # No more solutions to the puzzle exist. eod $self->{no_more_solutions} = 1; return SUDOKU_NO_SOLUTION; } # _format_constraint formats the given constraint for output. sub _format_constraint { my $self = shift; my @steps; foreach (@_) { my @stuff; foreach (@$_) { last unless $_; push @stuff, ref $_ ? '[' . join (' ', ref $_->[0] ? '[' . join (', ', @{$_->[0]}) . ']' : $_->[0], ref $_->[1] ? '[' . join (', ', map {$self->{symbol_list}[$_]} @{$_->[1]}) . ']' : $self->{symbol_list}[$_->[1]], ) . ']' : $_; } push @steps, join (' ', @stuff) . "\n"; } join '', @steps; } # _looks_like_number is cribbed heavily from # Scalar::Util::looks_like_number by Graham Barr. This version # only accepts integers, but it is really here because # ActivePerl's Scalar::Util is too ancient to export # looks_like_number. sub _looks_like_number { local $_ = shift; return 0 if !defined ($_) or ref ($_); return 1 if m/^[+-]?\d+$/; return 0; } # _set_* subroutines are found right after the set() method. # $su->_try ($cell, $value) # This method inserts the given value in the given cell, # replacing the previous value if any, and doing all the # bookkeeping. If the given value is legal (meaning, if # it is zero or if it is unique in all sets the cell # belongs to), it returns 0. If not, it returns 1, but # does not undo the trial. sub _try { my $self = shift; my $cell = shift; $cell = $self->{cell}[$cell] unless ref $cell; defined (my $new = shift) or _fatal ( "_try called for cell $cell->{index} with new value undefined"); defined (my $old = $cell->{content}) or _fatal ( "_try called with old cell $cell->{index} value undefined"); my $rslt = eval { return 0 if $old == $new; if ($new) { foreach my $set (@{$cell->{membership}}) { return 1 if $self->{set}{$set}{content}[$new]; } } $cell->{content} = $new; $old and $self->{cells_unassigned}++; $new and --$self->{cells_unassigned}; foreach my $name (@{$cell->{membership}}) { my $set = $self->{set}{$name}; --$set->{content}[$old]; $old and do { $set->{free}++; foreach (@{$set->{membership}}) { --$self->{cell}[$_]{possible}{$old}; } }; $set->{content}[$new]++; $new and do { --$set->{free}; foreach (@{$set->{membership}}) { $self->{cell}[$_]{possible}{$new}++; } }; } return 0; }; $@ and _fatal ("Eval failed in _try", $@); $rslt; } # $string = $self->_unload (prefix, status_value) # This method unloads the current cell contents into a string. # The prefix is prefixed to the string, and defaults to ''. # If status_value is specified, it is set. If status_value is # specified and it is a failure status, undef is returned, and # the current cell contents are ignored. sub _unload { my $self = shift; my $prefix = shift || ''; @_ and do {$self->set (status_value => $_[0]); $_[0] and return undef}; my $rslt = ''; my $col = $self->{columns}; my $row = $self->{rows} ||= floor (@{$self->{cell}} / $col); my $fmt = "%$self->{biggest_symbol}s"; foreach (@{$self->{cell}}) { $col == $self->{columns} and $rslt .= $prefix; # was $self->{ignore_unused} $rslt .= ($self->{cells_unused} && !@{$_->{membership}}) ? sprintf ($fmt, ' ') : sprintf ($fmt, $self->{symbol_list}[$_->{content} || 0]); if (--$col > 0) {$rslt .= $self->{output_delimiter}} else { # was $self->{ignore_unused} $self->{cells_unused} and $rslt =~ s/\s+$//m; $rslt .= "\n"; $col = $self->{columns}; if (--$row <= 0) { $rslt .= "\n"; $row = $self->{rows}; } } } 0 while chomp $rslt; $rslt .= "\n"; return $rslt; } 1; __END__
# Guide to attributes: # The following indicators say how each attribute is used: # T - The attribute is used to define the topology. It is set by # set (topology => string). # A - The attribute is set by some setting other than topology. # P - The attribute is used to define the problem. It is set by # problem(); # S - The attribute is used to solve the problem. # # T {cell} = [] # A list of the cell definitions. # P {cell}[$inx]{content} # The symbol the cell contains. # T {cell}[$inx]{index} = $inx # The index number of the cell. # T {cell}[$inx]{membership} = [] # A list of the names of the sets # # the cell is a member of. # P {cell}[$inx]{possible} = {} # A list of the possible values of # # the cell. Each element is false if # # the value is possible. # P {cells_unassigned} # Number of empty cells remaining # T {cells_unused} # Number of cells which are not members # # of any set. # S {constraints_used} = {} # The number of times each constraint # # was applied. # T {intersection}{$name} = [] # The indices of the cells in the named # # intersection. The name is the alpha- # # betized set names, comma-separated. # T {largest_set} # The size of the largest set. # S {no_more_solutions} # Cleared when problem set up, set when # # we run out of backtrack. # T {set} = {} # A hash of all the set definitions. # T {set}{$set}{content} = [] # The contents of the set. # T {set}{$set}{membership} = [] # A list of the numbers of the cells # # that are members of the set. # T {set}{$set}{name} = $set # The name of the set. # A {allowed_symbols}{$name} = [] # The list contains a 1 if the # # symbol's value is allowed under the # # named symbol set. # A {biggest_spec} # Number of characters in biggest # # symbol or allowed value set name. # A {biggest_symbol} # Number of characters in biggest # # symbol. # A {symbol_hash} = {} # A hash of symbols, giving the internal # # value for each. # A {symbol_list} = [] # A list of the symbols used, in order # # by the values used internally. # A {symbol_number} # Number of symbols defined.