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stmt |
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cond |
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pod |
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code |
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package Hailo::Storage; |
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our $AUTHORITY = 'cpan:AVAR'; |
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$Hailo::Storage::VERSION = '0.75'; |
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98876
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use v5.10.0; |
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110
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5
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620
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use Moose; |
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384481
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29
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6
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185080
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use MooseX::StrictConstructor; |
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26083
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29
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195
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94982
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use MooseX::Types::Moose ':all'; |
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45371
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29
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406
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8
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288148
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use DBI; |
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492085
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29
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1993
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9
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15761
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use Hailo::Storage::Schema; |
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86
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29
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35493
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has dbd => ( |
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isa => Str, |
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is => 'ro', |
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lazy_build => 1, |
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documentation => "The DBD::* driver we're using", |
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); |
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has dbd_options => ( |
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isa => HashRef, |
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is => 'ro', |
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lazy_build => 1, |
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documentation => 'Options passed as the last argument to DBI->connect()', |
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); |
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25
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sub _build_dbd_options { |
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254
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254
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2656
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my ($self) = @_; |
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return { |
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254
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7719
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RaiseError => 1 |
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}; |
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} |
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has dbh => ( |
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isa => 'DBI::db', |
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is => 'ro', |
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lazy_build => 1, |
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documentation => 'Our DBD object', |
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); |
38
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39
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sub _build_dbh { |
40
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249
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249
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508
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my ($self) = @_; |
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249
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6153
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my $dbd_options = $self->dbi_options; |
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43
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249
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5706
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return DBI->connect($self->dbi_options); |
44
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}; |
45
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46
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has dbi_options => ( |
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isa => ArrayRef, |
48
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is => 'ro', |
49
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auto_deref => 1, |
50
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lazy_build => 1, |
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documentation => 'Options passed to DBI->connect()', |
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); |
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54
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sub _build_dbi_options { |
55
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249
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249
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484
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my ($self) = @_; |
56
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249
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5884
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my $dbd = $self->dbd; |
57
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249
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6025
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my $dbd_options = $self->dbd_options; |
58
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249
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100
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6269
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my $db = $self->brain // ''; |
59
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60
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249
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1212
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my @options = ( |
61
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"dbi:$dbd:dbname=$db", |
62
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'', |
63
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'', |
64
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$dbd_options, |
65
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); |
66
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67
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249
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811
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return \@options; |
68
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} |
69
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70
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has _engaged => ( |
71
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isa => Bool, |
72
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is => 'rw', |
73
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default => 0, |
74
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documentation => 'Have we done setup work to get this database going?', |
75
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); |
76
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77
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has sth => ( |
78
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isa => HashRef, |
79
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is => 'ro', |
80
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lazy_build => 1, |
81
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documentation => 'A HashRef of prepared DBI statement handles', |
82
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); |
83
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84
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sub _build_sth { |
85
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50
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50
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144
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my ($self) = @_; |
86
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50
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1258
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return Hailo::Storage::Schema->sth($self->dbd, $self->dbh, $self->order); |
87
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} |
88
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89
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has _boundary_token_id => ( |
90
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isa => Int, |
91
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is => 'rw', |
92
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); |
93
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94
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# bootstrap the database |
95
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sub _engage { |
96
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251
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251
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1518
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my ($self) = @_; |
97
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98
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251
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100
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901
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if ($self->initialized) { |
99
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# Check the order we've been given and retrieve it from the |
100
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# database if there's nothing odd going on. |
101
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209
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813
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$self->_engage_initialized_check_and_set_order; |
102
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103
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# Likewise for the Tokenizer |
104
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10
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56
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$self->_engage_initialized_check_and_set_tokenizer; |
105
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106
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8
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214
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$self->sth->{token_id}->execute(0, ''); |
107
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8
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263
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my $id = $self->sth->{token_id}->fetchrow_array; |
108
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8
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266
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$self->_boundary_token_id($id); |
109
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} |
110
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else { |
111
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42
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1176
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Hailo::Storage::Schema->deploy($self->dbd, $self->dbh, $self->order); |
112
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113
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# Set metadata in the database for use by subsequent |
114
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# invocations |
115
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{ |
116
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# Don't change order again |
117
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42
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104
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my $order = $self->order; |
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42
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1654
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118
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42
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1234
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$self->sth->{set_info}->execute('markov_order', $order); |
119
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120
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# Warn if the tokenizer changes |
121
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42
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1524
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my $tokenizer = $self->tokenizer_class; |
122
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42
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976
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$self->sth->{set_info}->execute('tokenizer_class', $tokenizer); |
123
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} |
124
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125
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42
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1125
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$self->sth->{add_token}->execute(0, ''); |
126
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42
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1187
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$self->sth->{last_token_rowid}->execute(); |
127
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42
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1081
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my $id = $self->sth->{last_token_rowid}->fetchrow_array(); |
128
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42
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1292
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$self->_boundary_token_id($id); |
129
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} |
130
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131
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50
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1410
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$self->_engaged(1); |
132
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133
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50
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141
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return; |
134
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} |
135
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136
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sub _engage_initialized_check_and_set_order { |
137
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209
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209
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481
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my ($self) = @_; |
138
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139
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209
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6517
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my $sth = $self->dbh->prepare(qq[SELECT text FROM info WHERE attribute = ?;]); |
140
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209
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25828
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$sth->execute('markov_order'); |
141
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209
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3954
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my $db_order = $sth->fetchrow_array(); |
142
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143
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209
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7735
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my $my_order = $self->order; |
144
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209
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100
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635
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if ($my_order != $db_order) { |
145
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200
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100
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4975
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if ($self->hailo->{has_custom_order}->()) { |
146
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199
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4302
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die <<"DIE"; |
147
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You've manually supplied an order of `$my_order' to Hailo but you're |
148
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loading a brain that has the order `$db_order'. |
149
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150
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Hailo will automatically load the order from existing brains, however |
151
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you've constructed Hailo and manually specified an order not |
152
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equivalent to the existing order of the database. |
153
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154
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Either supply the correct order or omit the order attribute |
155
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altogether. We could continue but I'd rather die since you're probably |
156
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expecting something I can't deliver. |
157
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DIE |
158
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} |
159
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160
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1
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27
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$self->order($db_order); |
161
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1
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28
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$self->hailo->{set_order}->($db_order); |
162
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} |
163
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164
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10
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126
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return; |
165
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} |
166
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167
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sub _engage_initialized_check_and_set_tokenizer { |
168
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10
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10
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26
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my ($self) = @_; |
169
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170
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10
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255
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my $sth = $self->dbh->prepare(qq[SELECT text FROM info WHERE attribute = ?;]); |
171
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10
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1020
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$sth->execute('tokenizer_class'); |
172
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10
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152
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my $db_tokenizer_class = $sth->fetchrow_array; |
173
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10
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383
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my $my_tokenizer_class = $self->tokenizer_class; |
174
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175
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# defined() because we can't count on old brains having this |
176
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10
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100
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100
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75
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if (defined $db_tokenizer_class |
177
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and $my_tokenizer_class ne $db_tokenizer_class) { |
178
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3
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100
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78
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if ($self->hailo->{has_custom_tokenizer_class}->()) { |
179
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2
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47
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die <<"DIE"; |
180
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You've manually supplied a tokenizer class `$my_tokenizer_class' to |
181
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Hailo, but you're loading a brain that has the tokenizer class |
182
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`$db_tokenizer_class'. |
183
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184
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Hailo will automatically load the tokenizer class from existing |
185
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brains, however you've constructed Hailo and manually specified an |
186
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tokenizer class not equivalent to the existing tokenizer class of the |
187
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database. |
188
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189
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Either supply the correct tokenizer class or omit the order attribute |
190
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altogether. We could continue but I'd rather die since you're probably |
191
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expecting something I can't deliver. |
192
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DIE |
193
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} |
194
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195
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1
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28
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$self->tokenizer_class($db_tokenizer_class); |
196
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1
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26
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$self->hailo->{set_tokenizer_class}->($db_tokenizer_class); |
197
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} |
198
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199
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8
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96
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return; |
200
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} |
201
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202
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sub start_training { |
203
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23
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23
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0
|
187
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my ($self) = @_; |
204
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23
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100
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757
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$self->_engage() unless $self->_engaged; |
205
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23
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114
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$self->start_learning(); |
206
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23
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75
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return; |
207
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} |
208
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209
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sub stop_training { |
210
|
19
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19
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0
|
596
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my ($self) = @_; |
211
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19
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204
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$self->stop_learning(); |
212
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19
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52
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return; |
213
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} |
214
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215
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sub start_learning { |
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my ($self) = @_; |
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$self->_engage() unless $self->_engaged; |
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# start a transaction |
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$self->dbh->begin_work; |
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1657
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26750
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return; |
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} |
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sub stop_learning { |
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my ($self) = @_; |
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# finish a transaction |
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$self->dbh->commit; |
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return; |
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} |
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# See if SELECT count(*) FROM info; fails. If not we assume that we |
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# have an up and running database. |
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sub initialized { |
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my ($self) = @_; |
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my $dbh = $self->dbh; |
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my ($err, $warn, $res); |
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eval { |
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# SQLite will warn 'no such table info' |
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local $SIG{__WARN__} = sub { $err = $_[0] }; |
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774
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# If it doesn't warn trust that it dies here |
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local ($@, $!); |
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$res = $dbh->do("SELECT count(*) FROM info;"); |
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}; |
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66
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return (not $err and not $warn and defined $res); |
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} |
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# return some statistics |
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sub totals { |
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29
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0
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my ($self) = @_; |
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100
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$self->_engage() unless $self->_engaged; |
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699
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$self->sth->{token_total}->execute(); |
256
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868
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my $token = $self->sth->{token_total}->fetchrow_array - 1; |
257
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769
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$self->sth->{expr_total}->execute(); |
258
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100
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818
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my $expr = $self->sth->{expr_total}->fetchrow_array // 0; |
259
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747
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$self->sth->{prev_total}->execute(); |
260
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100
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790
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my $prev = $self->sth->{prev_total}->fetchrow_array // 0; |
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724
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$self->sth->{next_total}->execute(); |
262
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100
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788
|
my $next = $self->sth->{next_total}->fetchrow_array // 0; |
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187
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return $token, $expr, $prev, $next; |
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} |
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__PACKAGE__->meta->make_immutable; |
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=encoding utf8 |
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=head1 NAME |
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Hailo::Storage - A base class for L<Hailo> L<storage|Hailo::Role::Storage> backends |
274
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275
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=head1 METHODS |
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The following two methods must to be implemented by subclasses: |
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279
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=head2 C<_build_dbd> |
280
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281
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Should return the name of the database driver (e.g. 'SQLite') which will be |
282
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passed to L<DBI|DBI>. |
283
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284
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=head2 C<_build_dbd_options> |
285
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286
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Subclasses can override this method to add options of their own. E.g: |
287
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288
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|
override _build_dbd_options => sub { |
289
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|
return { |
290
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|
|
%{ super() }, |
291
|
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|
|
sqlite_unicode => 1, |
292
|
|
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|
|
}; |
293
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|
|
}; |
294
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295
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|
|
=head1 Comparison of backends |
296
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297
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|
|
This benchmark shows how the backends compare when training on the |
298
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|
|
small testsuite dataset as reported by the F<utils/hailo-benchmark> |
299
|
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|
|
utility (found in the distribution): |
300
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301
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|
|
Rate DBD::Pg DBD::mysql DBD::SQLite/file DBD::SQLite/memory |
302
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|
|
DBD::Pg 2.22/s -- -33% -49% -56% |
303
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|
|
DBD::mysql 3.33/s 50% -- -23% -33% |
304
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|
|
DBD::SQLite/file 4.35/s 96% 30% -- -13% |
305
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|
|
DBD::SQLite/memory 5.00/s 125% 50% 15% -- |
306
|
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307
|
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|
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|
|
Under real-world workloads SQLite is much faster than these results |
308
|
|
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|
|
|
|
indicate since the time it takes to train/reply is relative to the |
309
|
|
|
|
|
|
|
existing database size. Here's how long it took to train on a 214,710 |
310
|
|
|
|
|
|
|
line IRC log on a Linode 1080 with Hailo 0.18: |
311
|
|
|
|
|
|
|
|
312
|
|
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|
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|
|
=over |
313
|
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314
|
|
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|
|
=item * SQLite |
315
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|
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|
|
|
316
|
|
|
|
|
|
|
real 8m38.285s |
317
|
|
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|
|
|
user 8m30.831s |
318
|
|
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|
|
|
sys 0m1.175s |
319
|
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|
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320
|
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|
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|
|
=item * MySQL |
321
|
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|
|
322
|
|
|
|
|
|
|
real 48m30.334s |
323
|
|
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|
|
|
user 8m25.414s |
324
|
|
|
|
|
|
|
sys 4m38.175s |
325
|
|
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|
326
|
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|
|
|
=item * PostgreSQL |
327
|
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|
|
328
|
|
|
|
|
|
|
real 216m38.906s |
329
|
|
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|
|
user 11m13.474s |
330
|
|
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|
|
sys 4m35.509s |
331
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332
|
|
|
|
|
|
|
=back |
333
|
|
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|
|
334
|
|
|
|
|
|
|
In the case of PostgreSQL it's actually much faster to first train |
335
|
|
|
|
|
|
|
with SQLite, dump that database and then import it with L<psql(1)>, |
336
|
|
|
|
|
|
|
see L<failo's README|http://github.com/hinrik/failo> for how to do |
337
|
|
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|
|
that. |
338
|
|
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|
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339
|
|
|
|
|
|
|
However, replying with an existing database (using |
340
|
|
|
|
|
|
|
F<utils/hailo-benchmark-replies>) yields different results. SQLite can |
341
|
|
|
|
|
|
|
reply really quickly without being warmed up (which is the typical |
342
|
|
|
|
|
|
|
usecase for chatbots) but once PostgreSQL and MySQL are warmed up they |
343
|
|
|
|
|
|
|
start replying faster: |
344
|
|
|
|
|
|
|
|
345
|
|
|
|
|
|
|
Here's a comparison of doing 10 replies: |
346
|
|
|
|
|
|
|
|
347
|
|
|
|
|
|
|
Rate PostgreSQL MySQL SQLite-file SQLite-file-28MB SQLite-memory |
348
|
|
|
|
|
|
|
PostgreSQL 71.4/s -- -14% -14% -29% -50% |
349
|
|
|
|
|
|
|
MySQL 83.3/s 17% -- 0% -17% -42% |
350
|
|
|
|
|
|
|
SQLite-file 83.3/s 17% 0% -- -17% -42% |
351
|
|
|
|
|
|
|
SQLite-file-28MB 100.0/s 40% 20% 20% -- -30% |
352
|
|
|
|
|
|
|
SQLite-memory 143/s 100% 71% 71% 43% -- |
353
|
|
|
|
|
|
|
|
354
|
|
|
|
|
|
|
In this test MySQL uses around 28MB of memory (using Debian's |
355
|
|
|
|
|
|
|
F<my-small.cnf>) and PostgreSQL around 34MB. Plain SQLite uses 2MB of |
356
|
|
|
|
|
|
|
cache but it's also tested with 28MB of cache as well as with the |
357
|
|
|
|
|
|
|
entire database in memory. |
358
|
|
|
|
|
|
|
|
359
|
|
|
|
|
|
|
But doing 10,000 replies is very different: |
360
|
|
|
|
|
|
|
|
361
|
|
|
|
|
|
|
Rate SQLite-file PostgreSQL SQLite-file-28MB MySQL SQLite-memory |
362
|
|
|
|
|
|
|
SQLite-file 85.1/s -- -7% -18% -27% -38% |
363
|
|
|
|
|
|
|
PostgreSQL 91.4/s 7% -- -12% -21% -33% |
364
|
|
|
|
|
|
|
SQLite-file-28MB 103/s 21% 13% -- -11% -25% |
365
|
|
|
|
|
|
|
MySQL 116/s 37% 27% 13% -- -15% |
366
|
|
|
|
|
|
|
SQLite-memory 137/s 61% 50% 33% 18% -- |
367
|
|
|
|
|
|
|
|
368
|
|
|
|
|
|
|
Once MySQL gets more memory (using Debian's F<my-large.cnf>) and a |
369
|
|
|
|
|
|
|
chance to warm it starts yielding better results (I couldn't find out |
370
|
|
|
|
|
|
|
how to make PostgreSQL take as much memory as it wanted): |
371
|
|
|
|
|
|
|
|
372
|
|
|
|
|
|
|
Rate MySQL SQLite-memory |
373
|
|
|
|
|
|
|
MySQL 121/s -- -12% |
374
|
|
|
|
|
|
|
SQLite-memory 138/s 14% -- |
375
|
|
|
|
|
|
|
|
376
|
|
|
|
|
|
|
=head1 AUTHOR |
377
|
|
|
|
|
|
|
|
378
|
|
|
|
|
|
|
E<AElig>var ArnfjE<ouml>rE<eth> Bjarmason <avar@cpan.org> |
379
|
|
|
|
|
|
|
|
380
|
|
|
|
|
|
|
Hinrik E<Ouml>rn SigurE<eth>sson, hinrik.sig@gmail.com |
381
|
|
|
|
|
|
|
|
382
|
|
|
|
|
|
|
=head1 LICENSE AND COPYRIGHT |
383
|
|
|
|
|
|
|
|
384
|
|
|
|
|
|
|
Copyright 2010 E<AElig>var ArnfjE<ouml>rE<eth> Bjarmason and |
385
|
|
|
|
|
|
|
Hinrik E<Ouml>rn SigurE<eth>sson |
386
|
|
|
|
|
|
|
|
387
|
|
|
|
|
|
|
This program is free software, you can redistribute it and/or modify |
388
|
|
|
|
|
|
|
it under the same terms as Perl itself. |
389
|
|
|
|
|
|
|
|
390
|
|
|
|
|
|
|
=cut |