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package Algorithm::SAT::Backtracking::DPLL; |
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1017
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use Storable qw(dclone); |
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use Data::Dumper; |
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21857
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use strict; |
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use warnings; |
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2915
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our $VERSION = "0.12"; |
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# this allow to switch the parent implementation (needed for the Ordered alternative) |
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sub import { |
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my $class = shift; |
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my $flag = shift; |
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if ($flag) { |
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eval "use base '$flag'"; |
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} |
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else { |
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eval "use base 'Algorithm::SAT::Backtracking'"; |
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109
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1333
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} |
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} |
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sub solve { |
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# ### solve |
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# |
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# * `variables` is the list of all variables |
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# * `clauses` is an array of clauses. |
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# * `model` is a set of variable assignments. |
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56
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56
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1
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105
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my $self = shift; |
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56
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45
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my $variables = shift; |
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56
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46
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my $clauses = shift; |
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56
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100
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109
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my $model = defined $_[0] ? shift : {}; |
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56
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1214
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my $impurity = dclone($clauses); |
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56
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100
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if ( !exists $self->{_impurity} ) { |
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12
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15
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$self->{_impurity}->{$_}++ for ( map { @{$_} } @{$impurity} ); |
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39
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196
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24
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35
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} |
36
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37
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# If every clause is satisfiable, return the model which worked. |
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211
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100
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66
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502
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return $model |
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if ( |
40
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( grep { |
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56
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68
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( defined $self->satisfiable( $_, $model ) |
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and $self->satisfiable( $_, $model ) == 1 ) |
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? 0 |
44
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: 1 |
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56
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100
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64
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} @{$clauses} |
46
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) == 0 |
47
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); |
48
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49
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# If any clause is **exactly** false, return `false`; this model will not |
50
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# work. |
51
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44
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50
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112
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return 0 if !$self->_consistency_check( $clauses, $model ); |
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53
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44
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101
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$model = $self->_up( $variables, $clauses, $model ) |
54
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; # find unit clauses and sets them |
55
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56
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44
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50
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66
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return 0 if !$self->_consistency_check( $clauses, $model ); |
57
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58
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# TODO: pure unit optimization |
59
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# XXX: not working |
60
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61
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# $self->_pure($_) |
62
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# ? ( $model->{$_} = 1 and $self->_remove_clause_if_contains( $_, $clauses ) ) |
63
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# : $self->_pure( "-" . $_ ) |
64
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# ? ( $model->{$_} = 0 and $self->_remove_clause_if_contains( $_, $clauses ) ) |
65
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# : () |
66
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# for @{$variables}; |
67
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# return $model if ( @{$clauses} == 0 ); #we were lucky |
68
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69
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# XXX: end |
70
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71
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# Choose a new value to test by simply looping over the possible variables |
72
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# and checking to see if the variable has been given a value yet. |
73
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74
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44
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103
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my $choice = $self->_choice( $variables, $model ); |
75
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76
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# If there are no more variables to try, return false. |
77
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78
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44
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50
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96
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return 0 if ( !$choice ); |
79
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80
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# Recurse into two cases. The variable we chose will need to be either |
81
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# true or false for the expression to be satisfied. |
82
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44
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33
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110
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return $self->solve( $variables, $clauses, |
83
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$self->update( $model, $choice, 1 ) ) #true |
84
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|| $self->solve( $variables, $clauses, |
85
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$self->update( $model, $choice, 0 ) ); #false |
86
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} |
87
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88
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sub _consistency_check { |
89
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88
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88
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74
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my $self = shift; |
90
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88
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66
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my $clauses = shift; |
91
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88
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71
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my $model = shift; |
92
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332
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50
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66
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629
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return 0 |
93
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if ( |
94
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( grep { |
95
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88
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102
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( defined $self->satisfiable( $_, $model ) |
96
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and $self->satisfiable( $_, $model ) == 0 ) |
97
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? 1 |
98
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: 0 |
99
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88
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50
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73
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} @{$clauses} |
100
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) > 0 |
101
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); |
102
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88
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206
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return 1; |
103
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104
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} |
105
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106
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sub _pure { |
107
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24
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24
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120
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my $self = shift; |
108
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24
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28
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my $literal = shift; |
109
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110
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# Pure literal rule |
111
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112
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# if a variable only occurs positively in a formula, set it to true |
113
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# if a variable only occurs negated in a formula, set it to false |
114
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115
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24
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50
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80
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my $opposite |
116
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= substr( $literal, 0, 1 ) eq "-" |
117
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? substr( $literal, 1 ) |
118
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: "-" . $literal; |
119
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24
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100
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66
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232
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return 1 |
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66
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66
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120
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if ( |
121
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( exists $self->{_impurity}->{$literal} |
122
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and $self->{_impurity}->{$literal} != 0 |
123
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) |
124
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and ( |
125
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!exists $self->{_impurity}->{$opposite} |
126
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or ( exists $self->{_impurity}->{$opposite} |
127
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and $self->{_impurity}->{$opposite} == 0 ) |
128
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) |
129
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); |
130
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131
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# print STDERR "$literal is IMpure\n" and |
132
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18
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68
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return 0; |
133
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} |
134
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135
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sub _up { |
136
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32
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32
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52
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my $self = shift; |
137
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32
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28
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my $variables = shift; |
138
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32
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27
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my $clauses = shift; |
139
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32
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100
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47
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my $model = defined $_[0] ? shift : {}; |
140
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141
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#Finding single clauses that must be true, and updating the model |
142
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32
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51
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( @{$_} != 1 ) |
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121
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251
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143
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? () |
144
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: ( substr( $_->[0], 0, 1 ) eq "-" ) ? ( |
145
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$self->_remove_literal( substr( $_->[0], 1 ), $clauses, $model |
146
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) #remove the positive clause form OR's and add it to the model with a false value |
147
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) |
148
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: ( $self->_add_literal( "-" . $_->[0], $clauses ) |
149
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and $model->{ $_->[0] } |
150
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= 1 |
151
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) # if the literal is present, remove it from SINGLE ARRAYS in $clauses and add it to the model with a true value |
152
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32
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50
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0
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27
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for ( @{$clauses} ); |
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100
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153
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32
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47
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return $model; |
154
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} |
155
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156
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sub _remove_literal { |
157
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18
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18
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49
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my $self = shift; |
158
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18
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38
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my $literal = shift; |
159
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18
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16
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my $clauses = shift; |
160
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18
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17
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my $model = shift; |
161
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return |
162
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18
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100
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100
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119
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if $model |
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66
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163
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and exists $model->{$literal} |
164
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and $model->{$literal} == 0; #avoid cycle if already set |
165
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#remove the literal from the model (set to false) |
166
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9
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21
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$model->{$literal} = 0; |
167
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168
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#remove the literal from the model (set to false) and delete it from index |
169
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170
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9
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21
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$self->_delete_from_index( $literal, $clauses ); |
171
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172
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9
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23
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return 1; |
173
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} |
174
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175
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sub _add_literal { |
176
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0
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0
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0
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my $self = shift; |
177
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0
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0
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my $literal = shift; |
178
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0
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0
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my $clauses = shift; |
179
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0
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0
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my $model = shift; |
180
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0
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0
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0
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$literal |
181
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= ( substr( $literal, 0, 1 ) eq "-" ) |
182
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? $literal |
183
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: substr( $literal, 1 ); |
184
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return |
185
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0
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0
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0
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0
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if $model |
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0
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186
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and exists $model->{$literal} |
187
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and $model->{$literal} == 1; #avoid cycle if already set |
188
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#remove the literal from the model (set to false) and delete it from index |
189
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0
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0
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$model->{$literal} = 1; |
190
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0
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0
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$self->_delete_from_index( $literal, $clauses ); |
191
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0
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0
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return 1; |
192
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} |
193
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194
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sub _delete_from_index { |
195
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16
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16
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18
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my $self = shift; |
196
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16
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19
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my $string = shift; |
197
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16
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16
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my $list = shift; |
198
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16
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19
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foreach my $c ( @{$list} ) { |
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16
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29
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199
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64
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100
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64
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next if @{$c} <= 1; |
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64
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145
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200
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48
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37
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for ( my $index = scalar( @{$c} ); $index >= 0; --$index ) { |
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48
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92
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201
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230
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100
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100
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804
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do { |
202
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12
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12
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splice( @{$c}, $index, 1 ); |
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12
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16
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203
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12
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34
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$self->{_impurity}->{$string}--; |
204
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} |
205
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if $c->[$index] |
206
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and $c->[$index] eq $string; # remove certain elements |
207
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} |
208
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} |
209
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} |
210
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211
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sub _remove_clause_if_contains { |
212
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12
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12
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8189
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my $self = shift; |
213
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12
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16
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my $literal = shift; |
214
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12
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14
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my $list = shift; |
215
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12
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13
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my $index = 0; |
216
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12
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15
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while ( $index < scalar @{$list} ) { |
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48
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112
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217
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15
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23
|
splice( @{$list}, $index, 1 ) |
|
102
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175
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218
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36
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100
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31
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if grep { $_ eq $literal } @{ $list->[$index] }; |
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36
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48
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219
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36
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36
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$index++; |
220
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} |
221
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222
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} |
223
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224
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1; |
225
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226
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=encoding utf-8 |
227
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228
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=head1 NAME |
229
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230
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Algorithm::SAT::Backtracking::DPLL - A DPLL Backtracking SAT solver written in pure Perl |
231
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232
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=head1 SYNOPSIS |
233
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234
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235
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# You can use it with Algorithm::SAT::Expression |
236
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use Algorithm::SAT::Expression; |
237
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238
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my $expr = Algorithm::SAT::Expression->new->with("Algorithm::SAT::Backtracking::DPLL"); #Uses Algorithm::SAT::Backtracking by default, you can use "with()" to specify other implementations |
239
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$expr->or( '-foo@2.1', 'bar@2.2' ); |
240
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$expr->or( '-foo@2.3', 'bar@2.2' ); |
241
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$expr->or( '-baz@2.3', 'bar@2.3' ); |
242
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|
$expr->or( '-baz@1.2', 'bar@2.2' ); |
243
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|
|
my $model = $exp->solve(); |
244
|
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245
|
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|
|
# Or you can use it directly: |
246
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|
|
use Algorithm::SAT::Backtracking; |
247
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|
|
my $solver = Algorithm::SAT::Backtracking->new; |
248
|
|
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|
|
my $variables = [ 'blue', 'green', 'yellow', 'pink', 'purple' ]; |
249
|
|
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|
|
my $clauses = [ |
250
|
|
|
|
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|
|
[ 'blue', 'green', '-yellow' ], |
251
|
|
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|
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|
|
[ '-blue', '-green', 'yellow' ], |
252
|
|
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|
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|
|
[ 'pink', 'purple', 'green', 'blue', '-yellow' ] |
253
|
|
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|
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|
|
]; |
254
|
|
|
|
|
|
|
|
255
|
|
|
|
|
|
|
my $model = $solver->solve( $variables, $clauses ); |
256
|
|
|
|
|
|
|
|
257
|
|
|
|
|
|
|
=head1 DESCRIPTION |
258
|
|
|
|
|
|
|
|
259
|
|
|
|
|
|
|
Algorithm::SAT::Backtracking::DPLL is a pure Perl implementation of a SAT Backtracking solver. |
260
|
|
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|
|
|
|
|
261
|
|
|
|
|
|
|
Look at L for a theory description. |
262
|
|
|
|
|
|
|
|
263
|
|
|
|
|
|
|
The DPLL variant applies the "unit propagation" and the "pure literal" technique to be faster. |
264
|
|
|
|
|
|
|
|
265
|
|
|
|
|
|
|
Look also at the tests file for an example of usage. |
266
|
|
|
|
|
|
|
|
267
|
|
|
|
|
|
|
L use this module to solve Boolean expressions. |
268
|
|
|
|
|
|
|
|
269
|
|
|
|
|
|
|
=head1 METHODS |
270
|
|
|
|
|
|
|
|
271
|
|
|
|
|
|
|
Inherits all the methods from L and implements new private methods to use the unit propagation and pure literal rule techniques. |
272
|
|
|
|
|
|
|
|
273
|
|
|
|
|
|
|
=head1 LICENSE |
274
|
|
|
|
|
|
|
|
275
|
|
|
|
|
|
|
Copyright (C) mudler. |
276
|
|
|
|
|
|
|
|
277
|
|
|
|
|
|
|
This library is free software; you can redistribute it and/or modify |
278
|
|
|
|
|
|
|
it under the same terms as Perl itself. |
279
|
|
|
|
|
|
|
|
280
|
|
|
|
|
|
|
=head1 AUTHOR |
281
|
|
|
|
|
|
|
|
282
|
|
|
|
|
|
|
mudler Emudler@dark-lab.netE |
283
|
|
|
|
|
|
|
|
284
|
|
|
|
|
|
|
=head1 SEE ALSO |
285
|
|
|
|
|
|
|
|
286
|
|
|
|
|
|
|
L, L, L, L |
287
|
|
|
|
|
|
|
|
288
|
|
|
|
|
|
|
=cut |
289
|
|
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|
|
|
|
|