use strict;
use warnings;
+use Benchmark;
+use Encode qw/ encode_utf8 /;
+use Exporter 'import';
+use Graph;
+use JSON qw/ encode_json decode_json /;
+use LWP::UserAgent;
use Text::Tradition;
use Text::Tradition::Stemma;
+use TryCatch;
-sub new {
- my( $class, $args ) = @_;
- my $self = {};
- bless( $self, $class );
- $self->{'data'} = [];
- foreach my $t ( @{$args->{'traditions'}} ) {
- $self->run_analysis( $t->{'file'}, $t->{'stemmadot'} );
+use vars qw/ @EXPORT_OK /;
+@EXPORT_OK = qw/ run_analysis group_variants analyze_variant_location wit_stringify /;
+
+=head1 NAME
+
+Text::Tradition::Analysis - functions for stemma analysis of a tradition
+
+=head1 SYNOPSIS
+
+ use Text::Tradition;
+ use Text::Tradition::Analysis qw/ run_analysis analyze_variant_location /;
+ my $t = Text::Tradition->new(
+ 'name' => 'this is a text',
+ 'input' => 'TEI',
+ 'file' => '/path/to/tei_parallel_seg_file.xml' );
+ $t->add_stemma( 'dotfile' => $stemmafile );
+
+ my $variant_data = run_analysis( $tradition );
+ # Recalculate rank $n treating all orthographic variants as equivalent
+ my $reanalyze = analyze_variant_location( $tradition, $n, 0, 'orthographic' );
+
+=head1 DESCRIPTION
+
+Text::Tradition is a library for representation and analysis of collated
+texts, particularly medieval ones. The Collation is the central feature of
+a Tradition, where the text, its sequence of readings, and its relationships
+between readings are actually kept.
+
+=head1 SUBROUTINES
+
+=head2 run_analysis( $tradition, %opts )
+
+Runs the analysis described in analyze_variant_location on every location in the
+collation of the given tradition, with the given options. These include:
+
+=over 4
+
+=item * stemma_id - Specify which of the tradition's stemmata to use. Default
+is 0 (i.e. the first).
+
+=item * ranks - Specify a list of location ranks to analyze; exclude the rest.
+
+=item * merge_types - Specify a list of relationship types, where related readings
+should be treated as identical for the purposes of analysis.
+
+=item * exclude_type1 - Exclude those ranks whose groupings have only type-1 variants.
+
+=back
+
+=begin testing
+
+use Text::Tradition;
+use Text::Tradition::Analysis qw/ run_analysis analyze_variant_location /;
+
+my $datafile = 't/data/florilegium_tei_ps.xml';
+my $tradition = Text::Tradition->new( 'input' => 'TEI',
+ 'name' => 'test0',
+ 'file' => $datafile );
+my $s = $tradition->add_stemma( 'dotfile' => 't/data/florilegium.dot' );
+is( ref( $s ), 'Text::Tradition::Stemma', "Added stemma to tradition" );
+
+my %expected_genealogical = (
+ 1 => 0,
+ 2 => 1,
+ 3 => 0,
+ 5 => 0,
+ 7 => 0,
+ 8 => 0,
+ 10 => 0,
+ 13 => 1,
+ 33 => 0,
+ 34 => 0,
+ 37 => 0,
+ 60 => 0,
+ 81 => 1,
+ 84 => 0,
+ 87 => 0,
+ 101 => 0,
+ 102 => 0,
+ 122 => 1,
+ 157 => 0,
+ 166 => 1,
+ 169 => 1,
+ 200 => 0,
+ 216 => 1,
+ 217 => 1,
+ 219 => 1,
+ 241 => 1,
+ 242 => 1,
+ 243 => 1,
+);
+
+my $data = run_analysis( $tradition );
+my $c = $tradition->collation;
+foreach my $row ( @{$data->{'variants'}} ) {
+ # Account for rows that used to be "not useful"
+ unless( exists $expected_genealogical{$row->{'id'}} ) {
+ $expected_genealogical{$row->{'id'}} = 1;
+ }
+ my $gen_bool = $row->{'genealogical'} ? 1 : 0;
+ is( $gen_bool, $expected_genealogical{$row->{'id'}},
+ "Got correct genealogical flag for row " . $row->{'id'} );
+ # Check that we have the right row with the right groups
+ my $rank = $row->{'id'};
+ foreach my $rdghash ( @{$row->{'readings'}} ) {
+ # Skip 'readings' that aren't really
+ next unless $c->reading( $rdghash->{'readingid'} );
+ # Check the rank
+ is( $c->reading( $rdghash->{'readingid'} )->rank, $rank,
+ "Got correct reading rank" );
+ # Check the witnesses
+ my @realwits = sort $c->reading_witnesses( $rdghash->{'readingid'} );
+ my @sgrp = sort @{$rdghash->{'group'}};
+ is_deeply( \@sgrp, \@realwits, "Reading analyzed with correct groups" );
}
- return $self;
}
+is( $data->{'variant_count'}, 58, "Got right total variant number" );
+# TODO Make something meaningful of conflict count, maybe test other bits
+
+=end testing
+
+=cut
sub run_analysis {
- my( $self, $file, $stemmadot ) = @_;
- # What we will return
- my $svg;
- my $variants = [];
- my $data = {};
-
- # Read in the file and stemma
- my $tradition = Text::Tradition->new(
- 'input' => 'Self',
- 'file' => $file,
- 'linear' => 1,
- );
- $data->{'title'} = $tradition->name;
-
- my $stemma = Text::Tradition::Stemma->new(
- 'collation' => $tradition->collation,
- 'dot' => $stemmadot,
- );
- # We will return the stemma picture
- $svg = $stemma->as_svg( { size => "8,7.5" } );;
- $data->{'svg'} = $svg;
-
- # We have the collation, so get the alignment table with witnesses in rows.
- # Also return the reading objects in the table, rather than just the words.
-
- my $all_wits_table = $tradition->collation->make_alignment_table( 'refs' );
-
- # For each column in the alignment table, we want to see if the existing
- # groupings of witnesses match our stemma hypothesis. We also want, at the
- # end, to produce an HTML table with all the variants.
- my $html_columns = 0;
- my ( $total, $genealogical, $conflicts ) = ( 0, 0, 0 );
-
- # Strip the list of sigla and save it for correlation to the readings.
- my $col_wits = shift @$all_wits_table;
+ my( $tradition, %opts ) = @_;
+ my $c = $tradition->collation;
+
+ my $stemma_id = $opts{'stemma_id'} || 0;
+ my @ranks = ref( $opts{'ranks'} ) eq 'ARRAY' ? @{$opts{'ranks'}} : ();
+ my @collapse = ref( $opts{'merge_types'} ) eq 'ARRAY' ? @{$opts{'merge_types'}} : ();
+
+ # Get the stemma
+ my $stemma = $tradition->stemma( $stemma_id );
+
+ # Figure out which witnesses we are working with - that is, the ones that
+ # appear both in the stemma and in the tradition. All others are 'lacunose'
+ # for our purposes.
+ my @lacunose = $stemma->hypotheticals;
+ my @tradition_wits = map { $_->sigil } $tradition->witnesses;
+ push( @lacunose, _symmdiff( [ $stemma->witnesses ], \@tradition_wits ) );
+
+ # Find and mark 'common' ranks for exclusion, unless they were
+ # explicitly specified.
+ unless( @ranks ) {
+ my %common_rank;
+ foreach my $rdg ( $c->common_readings ) {
+ $common_rank{$rdg->rank} = 1;
+ }
+ @ranks = grep { !$common_rank{$_} } ( 1 .. $c->end->rank-1 );
+ }
- # We will return a data structure, an array for each row that looks like:
- # { id = X, genealogical = Y, readings = [ text = X, group = Y], empty = N }
- foreach my $i ( 0 .. $#$all_wits_table ) {
- # For each column in the table, group the readings by witness.
- my $rdg_wits = {};
- my $col_rdgs = shift @$all_wits_table;
- my $rank;
- my $lacunose = [];
- foreach my $j ( 0 .. $#{$col_rdgs} ) {
- my $rdg = $col_rdgs->[$j];
- my $rdg_text = '(omitted)'; # Initialize in case of empty reading
+ # Group the variants to send to the solver
+ my @groups;
+ my @use_ranks;
+ my %lacunae;
+ my $moved = {};
+ foreach my $rank ( @ranks ) {
+ my $missing = [ @lacunose ];
+ my $rankgroup = group_variants( $tradition, $rank, $missing, $moved, \@collapse );
+ # Filter out any empty rankgroups
+ # (e.g. from the later rank for a transposition)
+ next unless keys %$rankgroup;
+ if( $opts{'exclude_type1'} ) {
+ # Check to see whether this is a "useful" group.
+ my( $rdgs, $grps ) = _useful_variant( $rankgroup,
+ $stemma->graph, $c->ac_label );
+ next unless @$rdgs;
+ }
+ push( @use_ranks, $rank );
+ push( @groups, $rankgroup );
+ $lacunae{$rank} = $missing;
+ }
+ # Run the solver
+ my $answer = solve_variants( $stemma, @groups );
+
+ # Do further analysis on the answer
+ my $conflict_count = 0;
+ my $aclabel = $c->ac_label;
+ foreach my $idx ( 0 .. $#use_ranks ) {
+ my $location = $answer->{'variants'}->[$idx];
+ # Add the rank back in
+ my $rank = $use_ranks[$idx];
+ $location->{'id'} = $rank;
+ # Note what our lacunae are
+ my %lmiss;
+ map { $lmiss{$_} = 1 } @{$lacunae{$use_ranks[$idx]}};
+ $location->{'missing'} = [ keys %lmiss ];
+
+ # Run the extra analysis we need.
+ analyze_location( $tradition, $stemma, $location, \%lmiss );
+
+ my @layerwits;
+ # Do the final post-analysis tidying up of the data.
+ foreach my $rdghash ( @{$location->{'readings'}} ) {
+ $conflict_count++
+ if exists $rdghash->{'conflict'} && $rdghash->{'conflict'};
+ # Add the reading text back in, setting display value as needed
+ my $rdg = $c->reading( $rdghash->{'readingid'} );
if( $rdg ) {
- if( $rdg->is_lacuna ) {
- $rdg_text = undef; # Don't count lacunae
- push( @$lacunose, $col_wits->[$j] );
- } else {
- $rdg_text = $rdg->text;
- # Get the rank from any real reading; they should be identical.
- $rank = $rdg->rank;
+ $rdghash->{'text'} = $rdg->text .
+ ( $rdg->rank == $rank ? '' : ' [' . $rdg->rank . ']' );
+ }
+ # Remove lacunose witnesses from this reading's list now that the
+ # analysis is done
+ my @realgroup;
+ map { push( @realgroup, $_ ) unless $lmiss{$_} } @{$rdghash->{'group'}};
+ $rdghash->{'group'} = \@realgroup;
+ # Note any layered witnesses that appear in this group
+ foreach( @realgroup ) {
+ if( $_ =~ /^(.*)\Q$aclabel\E$/ ) {
+ push( @layerwits, $1 );
}
}
- if( defined $rdg_text ) {
- # Initialize the witness array if we haven't got one yet
- $rdg_wits->{$rdg_text} = [] unless $rdg_wits->{$rdg_text};
- # Add the relevant witness, subject to a.c. logic
- add_variant_wit( $rdg_wits->{$rdg_text}, $col_wits->[$j],
- $tradition->collation->ac_label );
+ }
+ $location->{'layerwits'} = \@layerwits if @layerwits;
+ }
+ $answer->{'conflict_count'} = $conflict_count;
+
+ return $answer;
+}
+
+=head2 group_variants( $tradition, $rank, $lacunose, @merge_relationship_types )
+
+Groups the variants at the given $rank of the collation, treating any
+relationships in @merge_relationship_types as equivalent. $lacunose should
+be a reference to an array, to which the sigla of lacunose witnesses at this
+rank will be appended; $transposed should be a reference to a hash, wherein
+the identities of transposed readings and their relatives will be stored.
+
+Returns a hash $group_readings where $rdg is attested by the witnesses listed
+in $group_readings->{$rdg}.
+
+=cut
+
+# Return group_readings, groups, lacunose
+sub group_variants {
+ my( $tradition, $rank, $lacunose, $transposed, $collapse ) = @_;
+ my $c = $tradition->collation;
+ my $aclabel = $c->ac_label;
+ my $table = $c->alignment_table;
+ # Get the alignment table readings
+ my %readings_at_rank;
+ my %is_lacunose; # lookup table for witnesses not in stemma
+ map { $is_lacunose{$_} = 1; $is_lacunose{$_.$aclabel} = 1 } @$lacunose;
+ my @check_for_gaps;
+ my %moved_wits;
+ my $has_transposition;
+ foreach my $tablewit ( @{$table->{'alignment'}} ) {
+ my $rdg = $tablewit->{'tokens'}->[$rank-1];
+ my $wit = $tablewit->{'witness'};
+ # Exclude the witness if it is "lacunose" which if we got here
+ # means "not in the stemma".
+ next if $is_lacunose{$wit};
+ # Note if the witness is actually in a lacuna
+ if( $rdg && $rdg->{'t'}->is_lacuna ) {
+ _add_to_witlist( $wit, $lacunose, $aclabel );
+ # Otherwise the witness either has a positive reading...
+ } elsif( $rdg ) {
+ # If the reading has been counted elsewhere as a transposition, ignore it.
+ if( $transposed->{$rdg->{'t'}->id} ) {
+ # TODO Does this cope with three-way transpositions?
+ map { $moved_wits{$_} = 1 } @{$transposed->{$rdg->{'t'}->id}};
+ next;
+ }
+ # Otherwise, record it...
+ $readings_at_rank{$rdg->{'t'}->id} = $rdg->{'t'};
+ # ...and grab any transpositions, and their relations.
+ my @transp = grep { $_->rank != $rank } $rdg->{'t'}->related_readings();
+ foreach my $trdg ( @transp ) {
+ next if exists $readings_at_rank{$trdg->id};
+ $has_transposition = 1;
+ my @affected_wits = _table_witnesses(
+ $table, $trdg, \%is_lacunose, $aclabel );
+ next unless @affected_wits;
+ map { $moved_wits{$_} = 1 } @affected_wits;
+ $transposed->{$trdg->id} =
+ [ _table_witnesses( $table, $rdg->{'t'}, \%is_lacunose, $aclabel ) ];
+ $readings_at_rank{$trdg->id} = $trdg;
}
+ # ...or it is empty, ergo a gap.
+ } else {
+ _add_to_witlist( $wit, \@check_for_gaps, $aclabel );
}
+ }
+ my @gap_wits;
+ map { _add_to_witlist( $_, \@gap_wits, $aclabel )
+ unless $moved_wits{$_} } @check_for_gaps;
+ # Group the readings, collapsing groups by relationship if needed
+ my $grouped_readings = {};
+ foreach my $rdg ( values %readings_at_rank ) {
+ # Skip readings that have been collapsed into others.
+ next if exists $grouped_readings->{$rdg->id}
+ && $grouped_readings->{$rdg->id} eq 'COLLAPSE';
+ # Get the witness list, including from readings collapsed into this one.
+ my @wits = _table_witnesses( $table, $rdg, \%is_lacunose, $aclabel );
+ if( $collapse && @$collapse ) {
+ my $filter = sub { my $r = $_[0]; grep { $_ eq $r->type } @$collapse; };
+ foreach my $other ( $rdg->related_readings( $filter ) ) {
+ my @otherwits = _table_witnesses(
+ $table, $other, \%is_lacunose, $aclabel );
+ push( @wits, @otherwits );
+ $grouped_readings->{$other->id} = 'COLLAPSE';
+ }
+ }
+ $grouped_readings->{$rdg->id} = \@wits;
+ }
+ $grouped_readings->{'(omitted)'} = \@gap_wits if @gap_wits;
+ # Get rid of our collapsed readings
+ map { delete $grouped_readings->{$_} if $grouped_readings->{$_} eq 'COLLAPSE' }
+ keys %$grouped_readings
+ if $collapse;
- # See if this column has any potentially genealogical variants.
- # If not, skip to the next.
- $total++ unless scalar keys %$rdg_wits == 1;
- my( $groups, $readings ) = useful_variant( $rdg_wits );
- next unless $groups && $readings;
+ # If something was transposed, check the groups for doubled-up readings
+ if( $has_transposition ) {
+ # print STDERR "Group for rank $rank:\n";
+ # map { print STDERR "\t$_: " . join( ' ' , @{$grouped_readings->{$_}} ) . "\n" }
+ # keys %$grouped_readings;
+ _check_transposed_consistency( $c, $rank, $transposed, $grouped_readings );
+ }
+
+ # Return the result
+ return $grouped_readings;
+}
+
+# Helper function to query the alignment table for all witnesses (a.c. included)
+# that have a given reading at its rank.
+sub _table_witnesses {
+ my( $table, $trdg, $lacunose, $aclabel ) = @_;
+ my $tableidx = $trdg->rank - 1;
+ my @has_reading;
+ foreach my $row ( @{$table->{'alignment'}} ) {
+ my $wit = $row->{'witness'};
+ next if $lacunose->{$wit};
+ my $rdg = $row->{'tokens'}->[$tableidx];
+ next unless exists $rdg->{'t'} && defined $rdg->{'t'};
+ _add_to_witlist( $wit, \@has_reading, $aclabel )
+ if $rdg->{'t'}->id eq $trdg->id;
+ }
+ return @has_reading;
+}
+
+# Helper function to ensure that X and X a.c. never appear in the same list.
+sub _add_to_witlist {
+ my( $wit, $list, $acstr ) = @_;
+ my %inlist;
+ my $idx = 0;
+ map { $inlist{$_} = $idx++ } @$list;
+ if( $wit =~ /^(.*)\Q$acstr\E$/ ) {
+ my $acwit = $1;
+ unless( exists $inlist{$acwit} ) {
+ push( @$list, $acwit.$acstr );
+ }
+ } else {
+ if( exists( $inlist{$wit.$acstr} ) ) {
+ # Replace the a.c. version with the main witness
+ my $i = $inlist{$wit.$acstr};
+ $list->[$i] = $wit;
+ } else {
+ push( @$list, $wit );
+ }
+ }
+}
+
+sub _check_transposed_consistency {
+ my( $c, $rank, $transposed, $groupings ) = @_;
+ my %seen_wits;
+ my %thisrank;
+ # Note which readings are actually at this rank, and which witnesses
+ # belong to which reading.
+ foreach my $rdg ( keys %$groupings ) {
+ my $rdgobj = $c->reading( $rdg );
+ # Count '(omitted)' as a reading at this rank
+ $thisrank{$rdg} = 1 if !$rdgobj || $rdgobj->rank == $rank;
+ map { push( @{$seen_wits{$_}}, $rdg ) } @{$groupings->{$rdg}};
+ }
+ # Our work is done if we have no witness belonging to more than one
+ # reading.
+ my @doubled = grep { scalar @{$seen_wits{$_}} > 1 } keys %seen_wits;
+ return unless @doubled;
+ # If we have a symmetric related transposition, drop the non-rank readings.
+ if( @doubled == scalar keys %seen_wits ) {
+ foreach my $rdg ( keys %$groupings ) {
+ if( !$thisrank{$rdg} ) {
+ my $groupstr = wit_stringify( $groupings->{$rdg} );
+ my ( $matched ) = grep { $groupstr eq wit_stringify( $groupings->{$_} ) }
+ keys %thisrank;
+ delete $groupings->{$rdg};
+ # If we found a group match, assume there is a symmetry happening.
+ # TODO think more about this
+ # print STDERR "*** Deleting symmetric reading $rdg\n";
+ unless( $matched ) {
+ delete $transposed->{$rdg};
+ warn "Found problem in evident symmetry with reading $rdg";
+ }
+ }
+ }
+ # Otherwise 'unhook' the transposed reading(s) that have duplicates.
+ } else {
+ foreach my $dup ( @doubled ) {
+ foreach my $rdg ( @{$seen_wits{$dup}} ) {
+ next if $thisrank{$rdg};
+ next unless exists $groupings->{$rdg};
+ # print STDERR "*** Deleting asymmetric doubled-up reading $rdg\n";
+ delete $groupings->{$rdg};
+ delete $transposed->{$rdg};
+ }
+ }
+ # and put any now-orphaned readings into an 'omitted' reading.
+ foreach my $wit ( keys %seen_wits ) {
+ unless( grep { exists $groupings->{$_} } @{$seen_wits{$wit}} ) {
+ $groupings->{'(omitted)'} = [] unless exists $groupings->{'(omitted)'};
+ _add_to_witlist( $wit, $groupings->{'(omitted)'}, $c->ac_label );
+ }
+ }
+ }
+}
+
+=head2 solve_variants( $graph, @groups )
+
+Sends the set of groups to the external graph solver service and returns
+a cleaned-up answer, adding the rank IDs back where they belong.
+
+The JSON has the form
+ { "graph": [ stemmagraph DOT string without newlines ],
+ "groupings": [ array of arrays of groups, one per rank ] }
+
+The answer has the form
+ { "variants" => [ array of variant location structures ],
+ "variant_count" => total,
+ "conflict_count" => number of conflicts detected,
+ "genealogical_count" => number of solutions found }
+
+=cut
+
+sub solve_variants {
+ my( $stemma, @groups ) = @_;
+ my $aclabel = $stemma->collation->ac_label;
+
+ # Filter the groups down to distinct groups, and work out what graph
+ # should be used in the calculation of each group. We want to send each
+ # distinct problem to the solver only once.
+ # We need a whole bunch of lookup tables for this.
+ my $index_groupkeys = {}; # Save the order of readings
+ my $group_indices = {}; # Save the indices that have a given grouping
+ my $graph_problems = {}; # Save the groupings for the given graph
+
+ foreach my $idx ( 0..$#groups ) {
+ my $ghash = $groups[$idx];
+ my @grouping;
+ # Sort the groupings from big to little, and scan for a.c. witnesses
+ # that would need an extended graph.
+ my @acwits; # note which AC witnesses crop up at this rank
+ my @idxkeys = sort { scalar @{$ghash->{$b}} <=> scalar @{$ghash->{$a}} }
+ keys %$ghash;
+ foreach my $rdg ( @idxkeys ) {
+ my @sg = sort @{$ghash->{$rdg}};
+ push( @acwits, grep { $_ =~ /\Q$aclabel\E$/ } @sg );
+ push( @grouping, \@sg );
+ }
+ # Save the reading order
+ $index_groupkeys->{$idx} = \@idxkeys;
- # Keep track of our widest row
- $html_columns = scalar @$groups if scalar @$groups > $html_columns;
+ # Now associate the distinct group with this index
+ my $gstr = wit_stringify( \@grouping );
+ push( @{$group_indices->{$gstr}}, $idx );
- # We can already look up witnesses for a reading; we also want to look
- # up readings for a given witness.
- my $group_readings = {};
- foreach my $x ( 0 .. $#$groups ) {
- $group_readings->{wit_stringify( $groups->[$x] )} = $readings->[$x];
+ # Finally, add the group to the list to be calculated for this graph.
+ map { s/\Q$aclabel\E$// } @acwits;
+ my $graph;
+ try {
+ $graph = $stemma->extend_graph( \@acwits );
+ } catch {
+ die "Unable to extend graph with @acwits";
+ }
+ unless( exists $graph_problems->{"$graph"} ) {
+ $graph_problems->{"$graph"} = { 'object' => $graph, 'groups' => [] };
}
+ push( @{$graph_problems->{"$graph"}->{'groups'}}, \@grouping );
+ }
+
+ ## For each distinct graph, send its groups to the solver.
+ my $solver_url = 'http://byzantini.st/cgi-bin/graphcalc.cgi';
+ my $ua = LWP::UserAgent->new();
+ ## Witness map is a HACK to get around limitations in node names from IDP
+ my $witness_map = {};
+ ## Variables to store answers as they come back
+ my $variants = [ ( undef ) x ( scalar keys %$index_groupkeys ) ];
+ my $genealogical = 0;
+ foreach my $graphkey ( keys %$graph_problems ) {
+ my $graph = $graph_problems->{$graphkey}->{'object'};
+ my $groupings = $graph_problems->{$graphkey}->{'groups'};
+ my $json = encode_json( _safe_wit_strings( $graph, $stemma->collation,
+ $groupings, $witness_map ) );
+ # Send it off and get the result
+ #print STDERR "Sending request: $json\n";
+ my $resp = $ua->post( $solver_url, 'Content-Type' => 'application/json',
+ 'Content' => $json );
+ my $answer;
+ my $used_idp;
+ if( $resp->is_success ) {
+ $answer = _desanitize_names( decode_json( $resp->content ), $witness_map );
+ $used_idp = 1;
+ } else {
+ # Fall back to the old method.
+ warn "IDP solver returned " . $resp->status_line . " / " . $resp->content
+ . "; falling back to perl method";
+ $answer = perl_solver( $graph, @$groupings );
+ }
+ ## The answer is the evaluated groupings, plus a boolean for whether
+ ## they were genealogical. Reconstruct our original groups.
+ foreach my $gidx ( 0 .. $#{$groupings} ) {
+ my( $calc_groups, $result ) = @{$answer->[$gidx]};
+ if( $result ) {
+ $genealogical++;
+ # Prune the calculated groups, in case the IDP solver failed to.
+ if( $used_idp ) {
+ my @pruned_groups;
+ foreach my $cg ( @$calc_groups ) {
+ # This is a little wasteful but the path of least
+ # resistance. Send both the stemma, which knows what
+ # its hypotheticals are, and the actual graph used.
+ my @pg = _prune_group( $cg, $stemma, $graph );
+ push( @pruned_groups, \@pg );
+ }
+ $calc_groups = \@pruned_groups;
+ }
+ }
+ # Retrieve the key for the original group that went to the solver
+ my $input_group = wit_stringify( $groupings->[$gidx] );
+ foreach my $oidx ( @{$group_indices->{$input_group}} ) {
+ my @readings = @{$index_groupkeys->{$oidx}};
+ my $vstruct = {
+ 'genealogical' => $result,
+ 'readings' => [],
+ };
+ foreach my $ridx ( 0 .. $#readings ) {
+ push( @{$vstruct->{'readings'}},
+ { 'readingid' => $readings[$ridx],
+ 'group' => $calc_groups->[$ridx] } );
+ }
+ $variants->[$oidx] = $vstruct;
+ }
+ }
+ }
+
+ return { 'variants' => $variants,
+ 'variant_count' => scalar @$variants,
+ 'genealogical_count' => $genealogical };
+}
+
+#### HACKERY to cope with IDP's limited idea of what a node name looks like ###
+
+sub _safe_wit_strings {
+ my( $graph, $c, $groupings, $witness_map ) = @_;
+ # Parse the graph we were given into a stemma.
+ my $safegraph = Graph->new();
+ # Convert the graph to a safe representation and store the conversion.
+ foreach my $n ( $graph->vertices ) {
+ my $sn = _safe_witstr( $n );
+ if( exists $witness_map->{$sn} ) {
+ warn "Ambiguous stringification $sn for $n and " . $witness_map->{$sn}
+ if $witness_map->{$sn} ne $n;
+ } else {
+ $witness_map->{$sn} = $n;
+ }
+ $safegraph->add_vertex( $sn );
+ $safegraph->set_vertex_attributes( $sn,
+ $graph->get_vertex_attributes( $n ) );
+ }
+ foreach my $e ( $graph->edges ) {
+ my @safe_e = ( _safe_witstr( $e->[0] ), _safe_witstr( $e->[1] ) );
+ $safegraph->add_edge( @safe_e );
+ }
+ my $safe_stemma = Text::Tradition::Stemma->new(
+ 'collation' => $c, 'graph' => $safegraph );
- # For all the groups with more than one member, collect the list of all
- # contiguous vertices needed to connect them.
- # TODO: deal with a.c. reading logic
- $DB::single = 1 if $rank == 25;
- my $variant_row = analyze_variant_location( $group_readings, $groups,
- $stemma->apsp, $lacunose );
- $variant_row->{'id'} = $rank;
- $genealogical++ if $variant_row->{'genealogical'};
- $conflicts += grep { $_->{'conflict'} } @{$variant_row->{'readings'}};
-
- # Now run the same analysis given the calculated distance tree(s).
-# my @trees = @{$stemma->distance_trees};
-# if( @trees ) {
-# foreach my $tree ( 0 .. $#trees ) {
-# my $dc = analyze_variant_location( $group_readings, $groups,
-# $stemma->distance_apsps->[$tree] );
-# foreach my $rdg ( keys %$dc ) {
-# my $var = $dc->{$rdg};
-# # TODO Do something with this
-# }
-# }
-# }
-
- # Record that we used this variant in an analysis
- push( @$variants, $variant_row );
+ # Now convert the witness groupings to a safe representation.
+ my $safe_groupings = [];
+ foreach my $grouping ( @$groupings ) {
+ my $safe_grouping = [];
+ foreach my $group ( @$grouping ) {
+ my $safe_group = [];
+ foreach my $n ( @$group ) {
+ my $sn = _safe_witstr( $n );
+ warn "Ambiguous stringification $sn for $n and " . $witness_map->{$sn}
+ if exists $witness_map->{$sn} && $witness_map->{$sn} ne $n;
+ $witness_map->{$sn} = $n;
+ push( @$safe_group, $sn );
+ }
+ push( @$safe_grouping, $safe_group );
+ }
+ push( @$safe_groupings, $safe_grouping );
}
- # Go through our variant rows, after we have seen all of them once,
- # and add the number of empty columns needed by each.
- foreach my $row ( @$variants ) {
- my $empty = $html_columns - scalar @{$row->{'readings'}};
- $row->{'empty'} = $empty;
+ # Return it all in the struct we expect. We have stored the reductions
+ # in the $witness_map that we were passed.
+ return { 'graph' => $safe_stemma->editable( { 'linesep' => ' ' } ),
+ 'groupings' => $safe_groupings };
+}
+
+sub _safe_witstr {
+ my $witstr = shift;
+ $witstr =~ s/\s+/_/g;
+ $witstr =~ s/[^\w\d-]//g;
+ return $witstr;
+}
+
+sub _desanitize_names {
+ my( $jsonstruct, $witness_map ) = @_;
+ my $result = [];
+ foreach my $grouping ( @$jsonstruct ) {
+ my $real_grouping = [];
+ foreach my $element ( @$grouping ) {
+ if( ref( $element ) eq 'ARRAY' ) {
+ # it's the groupset.
+ my $real_groupset = [];
+ foreach my $group ( @$element ) {
+ my $real_group = [];
+ foreach my $n ( @$group ) {
+ my $rn = $witness_map->{$n};
+ push( @$real_group, $rn );
+ }
+ push( @$real_groupset, $real_group );
+ }
+ push( @$real_grouping, $real_groupset );
+ } else {
+ # It is the boolean, not actually a group.
+ push( @$real_grouping, $element );
+ }
+ }
+ push( @$result, $real_grouping );
+ }
+ return $result;
+}
+
+### END HACKERY ###
+
+=head2 analyze_location ( $tradition, $graph, $location_hash )
+
+Given the tradition, its stemma graph, and the solution from the graph solver,
+work out the rest of the information we want. For each reading we need missing,
+conflict, reading_parents, independent_occurrence, followed, not_followed, and follow_unknown. Alters the location_hash in place.
+
+=cut
+
+sub analyze_location {
+ my ( $tradition, $stemma, $variant_row, $lacunose ) = @_;
+ my $c = $tradition->collation;
+
+ # Make a hash of all known node memberships, and make the subgraphs.
+ my $contig = {};
+ my $reading_roots = {};
+ my $subgraph = {};
+ my $acstr = $c->ac_label;
+ my @acwits;
+ $DB::single = 1 if $variant_row->{id} == 87;
+ # Note which witnesses positively belong to which group
+ foreach my $rdghash ( @{$variant_row->{'readings'}} ) {
+ my $rid = $rdghash->{'readingid'};
+ foreach my $wit ( @{$rdghash->{'group'}} ) {
+ $contig->{$wit} = $rid;
+ if( $wit =~ /^(.*)\Q$acstr\E$/ ) {
+ push( @acwits, $1 );
+ }
+ }
+ }
+
+ # Get the actual graph we should work with
+ my $graph;
+ try {
+ $graph = @acwits ? $stemma->extend_graph( \@acwits ) : $stemma->graph;
+ } catch {
+ die "Could not extend graph with a.c. witnesses @acwits";
}
- # Populate self with our analysis data.
- $data->{'variants'} = $variants;
- $data->{'variant_count'} = $total;
- $data->{'conflict_count'} = $conflicts;
- $data->{'genealogical_count'} = $genealogical;
- push( @{$self->{'data'}}, $data );
+ # Now, armed with that knowledge, make a subgraph for each reading
+ # and note the root(s) of each subgraph.
+ foreach my $rdghash( @{$variant_row->{'readings'}} ) {
+ my $rid = $rdghash->{'readingid'};
+ my %rdgwits;
+ # Make the subgraph.
+ my $part = $graph->copy;
+ my @todelete = grep { exists $contig->{$_} && $contig->{$_} ne $rid }
+ keys %$contig;
+ $part->delete_vertices( @todelete );
+ _prune_subtree( $part, $lacunose );
+ $subgraph->{$rid} = $part;
+ # Record the remaining lacunose nodes as part of this group, if
+ # we are dealing with a non-genealogical reading.
+ unless( $variant_row->{'genealogical'} ) {
+ map { $contig->{$_} = $rid } $part->vertices;
+ }
+ # Get the reading roots.
+ map { $reading_roots->{$_} = $rid } $part->predecessorless_vertices;
+ }
+
+ # Now that we have all the node group memberships, calculate followed/
+ # non-followed/unknown values for each reading. Also figure out the
+ # reading's evident parent(s).
+ foreach my $rdghash ( @{$variant_row->{'readings'}} ) {
+ my $rid = $rdghash->{'readingid'};
+ # Get the subgraph
+ my $part = $subgraph->{$rid};
+
+ # Start figuring things out.
+ my @roots = grep { $reading_roots->{$_} eq $rid } keys %$reading_roots;
+ $rdghash->{'independent_occurrence'} = \@roots;
+ $rdghash->{'followed'} = scalar( $part->vertices ) - scalar( @roots );
+ # Find the parent readings, if any, of this reading.
+ my $rdgparents = {};
+ foreach my $wit ( @roots ) {
+ # Look in the main stemma to find this witness's extant or known-reading
+ # immediate ancestor(s), and look up the reading that each ancestor olds.
+ my @check = $graph->predecessors( $wit );
+ while( @check ) {
+ my @next;
+ foreach my $wparent( @check ) {
+ my $preading = $contig->{$wparent};
+ if( $preading ) {
+ $rdgparents->{$preading} = 1;
+ } else {
+ push( @next, $graph->predecessors( $wparent ) );
+ }
+ }
+ @check = @next;
+ }
+ }
+ foreach my $p ( keys %$rdgparents ) {
+ # Resolve the relationship of the parent to the reading, and
+ # save it in our hash.
+ my $pobj = $c->reading( $p );
+ my $relation;
+ my $prep = $pobj ? $pobj->id . ' (' . $pobj->text . ')' : $p;
+ if( $pobj ) {
+ my $rel = $c->get_relationship( $p, $rdghash->{readingid} );
+ if( $rel ) {
+ $relation = { type => $rel->type };
+ if( $rel->has_annotation ) {
+ $relation->{'annotation'} = $rel->annotation;
+ }
+ }
+ }
+ $rdgparents->{$p} = { 'label' => $prep, 'relation' => $relation };
+ }
+
+ $rdghash->{'reading_parents'} = $rdgparents;
+
+ # Find the number of times this reading was altered, and the number of
+ # times we're not sure.
+ my( %nofollow, %unknownfollow );
+ foreach my $wit ( $part->vertices ) {
+ foreach my $wchild ( $graph->successors( $wit ) ) {
+ next if $part->has_vertex( $wchild );
+ if( $reading_roots->{$wchild} && $contig->{$wchild} ) {
+ # It definitely changed here.
+ $nofollow{$wchild} = 1;
+ } elsif( !($contig->{$wchild}) ) {
+ # The child is a hypothetical node not definitely in
+ # any group. Answer is unknown.
+ $unknownfollow{$wchild} = 1;
+ } # else it's a non-root node in a known group, and therefore
+ # is presumed to have its reading from its group, not this link.
+ }
+ }
+ $rdghash->{'not_followed'} = keys %nofollow;
+ $rdghash->{'follow_unknown'} = keys %unknownfollow;
+
+ # Now say whether this reading represents a conflict.
+ unless( $variant_row->{'genealogical'} ) {
+ $rdghash->{'conflict'} = @roots != 1;
+ }
+ }
}
-# variant_row -> genealogical
-# -> readings [ { text, group, conflict, missing } ]
-sub analyze_variant_location {
- my( $group_readings, $groups, $apsp, $lacunose ) = @_;
- my %contig;
+=head2 perl_solver( $tradition, $rank, $stemma_id, @merge_relationship_types )
+
+** NOTE ** This method should hopefully not be called - it is not guaranteed
+to be correct. Serves as a backup for the real solver.
+
+Runs an analysis of the given tradition, at the location given in $rank,
+against the graph of the stemma specified in $stemma_id. The argument
+@merge_relationship_types is an optional list of relationship types for
+which readings so related should be treated as equivalent.
+
+Returns a nested array data structure as follows:
+
+ [ [ group_list, is_genealogical ], [ group_list, is_genealogical ] ... ]
+
+where the group list is the array of arrays passed in for each element of @groups,
+possibly with the addition of hypothetical readings.
+
+
+=cut
+
+sub perl_solver {
+ my( $graph, @groups ) = @_;
+ my @answer;
+ foreach my $g ( @groups ) {
+ push( @answer, _solve_variant_location( $graph, $g ) );
+ }
+ return \@answer;
+}
+
+sub _solve_variant_location {
+ my( $graph, $groups ) = @_;
+ # Now do the work.
+ my $contig = {};
+ my $subgraph = {};
+ my $is_conflicted;
my $conflict = {};
- my %missing;
- map { $missing{$_} = 1 } @$lacunose;
- my $variant_row = { 'readings' => [] };
+
# Mark each ms as in its own group, first.
foreach my $g ( @$groups ) {
my $gst = wit_stringify( $g );
- map { $contig{$_} = $gst } @$g;
+ map { $contig->{$_} = $gst } @$g;
}
+
+ # Now for each unmarked node in the graph, initialize an array
+ # for possible group memberships. We will use this later to
+ # resolve potential conflicts.
+ map { $contig->{$_} = [] unless $contig->{$_} } $graph->vertices;
foreach my $g ( sort { scalar @$b <=> scalar @$a } @$groups ) {
- my @members = @$g;
- my $gst = wit_stringify( $g ); # $gst is now the name of this group.
- while( @members ) {
- # Gather the list of vertices that are needed to join all members.
- my $curr = pop @members;
- foreach my $m ( @members ) {
- foreach my $v ( $apsp->path_vertices( $curr, $m ) ) {
- $contig{$v} = $gst unless exists $contig{$v};
- next if $contig{$v} eq $gst;
- # Record what is conflicting. TODO do we use this?
- $conflict->{$group_readings->{$gst}} = $group_readings->{$contig{$v}};
- }
- }
+ my $gst = wit_stringify( $g ); # This is the group name
+ # Copy the graph, and delete all non-members from the new graph.
+ my $part = $graph->copy;
+ my @group_roots;
+ $part->delete_vertices(
+ grep { !ref( $contig->{$_} ) && $contig->{$_} ne $gst } $graph->vertices );
+
+ # Now look to see if our group is connected.
+ if( @$g > 1 ) {
+ # We have to take directionality into account.
+ # How many root nodes do we have?
+ my @roots = grep { ref( $contig->{$_} ) || $contig->{$_} eq $gst }
+ $part->predecessorless_vertices;
+ # Assuming that @$g > 1, find the first root node that has at
+ # least one successor belonging to our group. If this reading
+ # is genealogical, there should be only one, but we will check
+ # that implicitly later.
+ foreach my $root ( @roots ) {
+ # Prune the tree to get rid of extraneous hypotheticals.
+ $root = _prune_subtree_old( $part, $root, $contig );
+ next unless $root;
+ # Save this root for our group.
+ push( @group_roots, $root );
+ # Get all the successor nodes of our root.
+ }
+ } else {
+ # Dispense with the trivial case of one reading.
+ my $wit = $g->[0];
+ @group_roots = ( $wit );
+ foreach my $v ( $part->vertices ) {
+ $part->delete_vertex( $v ) unless $v eq $wit;
+ }
}
- # Write the reading.
- my $reading = { 'text' => $group_readings->{$gst},
- 'missing' => wit_stringify( $lacunose ),
- 'conflict' => exists( $conflict->{$group_readings->{$gst}} ) };
- if( $reading->{'conflict'} ) {
- $reading->{'group'} = $gst;
- } else {
- my @all_vertices = grep { $contig{$_} eq $gst && !$missing{$_} } keys %contig;
- $reading->{'group'} = wit_stringify( \@all_vertices );
+
+ if( @group_roots > 1 ) {
+ $conflict->{$gst} = 1;
+ $is_conflicted = 1;
}
- push( @{$variant_row->{'readings'}}, $reading );
+ # Paint the 'hypotheticals' with our group.
+ foreach my $wit ( $part->vertices ) {
+ if( ref( $contig->{$wit} ) ) {
+ push( @{$contig->{$wit}}, $gst );
+ } elsif( $contig->{$wit} ne $gst ) {
+ warn "How did we get here?";
+ }
+ }
+
+
+ # Save the relevant subgraph.
+ $subgraph->{$gst} = $part;
+ }
+
+ # For each of our hypothetical readings, flatten its 'contig' array if
+ # the array contains zero or one group. If we have any unflattened arrays,
+ # we may need to run the resolution process. If the reading is already known
+ # to have a conflict, flatten the 'contig' array to nothing; we won't resolve
+ # it.
+ my @resolve;
+ foreach my $wit ( keys %$contig ) {
+ next unless ref( $contig->{$wit} );
+ if( @{$contig->{$wit}} > 1 ) {
+ if( $is_conflicted ) {
+ $contig->{$wit} = ''; # We aren't going to decide.
+ } else {
+ push( @resolve, $wit );
+ }
+ } else {
+ my $gst = pop @{$contig->{$wit}};
+ $contig->{$wit} = $gst || '';
+ }
+ }
+
+ if( @resolve ) {
+ my $still_contig = {};
+ foreach my $h ( @resolve ) {
+ # For each of the hypothetical readings with more than one possibility,
+ # try deleting it from each of its member subgraphs in turn, and see
+ # if that breaks the contiguous grouping.
+ # TODO This can still break in a corner case where group A can use
+ # either vertex 1 or 2, and group B can use either vertex 2 or 1.
+ # Revisit this if necessary; it could get brute-force nasty.
+ foreach my $gst ( @{$contig->{$h}} ) {
+ my $gpart = $subgraph->{$gst}->copy();
+ # If we have come this far, there is only one root and everything
+ # is reachable from it.
+ my( $root ) = $gpart->predecessorless_vertices;
+ my $reachable = {};
+ map { $reachable->{$_} = 1 } $gpart->vertices;
+
+ # Try deleting the hypothetical node.
+ $gpart->delete_vertex( $h );
+ if( $h eq $root ) {
+ # See if we still have a single root.
+ my @roots = $gpart->predecessorless_vertices;
+ warn "This shouldn't have happened" unless @roots;
+ if( @roots > 1 ) {
+ # $h is needed by this group.
+ if( exists( $still_contig->{$h} ) ) {
+ # Conflict!
+ $conflict->{$gst} = 1;
+ $still_contig->{$h} = '';
+ } else {
+ $still_contig->{$h} = $gst;
+ }
+ }
+ } else {
+ # $h is somewhere in the middle. See if everything
+ # else can still be reached from the root.
+ my %still_reachable = ( $root => 1 );
+ map { $still_reachable{$_} = 1 }
+ $gpart->all_successors( $root );
+ foreach my $v ( keys %$reachable ) {
+ next if $v eq $h;
+ if( !$still_reachable{$v}
+ && ( $contig->{$v} eq $gst
+ || ( exists $still_contig->{$v}
+ && $still_contig->{$v} eq $gst ) ) ) {
+ # We need $h.
+ if( exists $still_contig->{$h} ) {
+ # Conflict!
+ $conflict->{$gst} = 1;
+ $still_contig->{$h} = '';
+ } else {
+ $still_contig->{$h} = $gst;
+ }
+ last;
+ } # else we don't need $h in this group.
+ } # end foreach $v
+ } # endif $h eq $root
+ } # end foreach $gst
+ } # end foreach $h
+
+ # Now we have some hypothetical vertices in $still_contig that are the
+ # "real" group memberships. Replace these in $contig.
+ foreach my $v ( keys %$contig ) {
+ next unless ref $contig->{$v};
+ $contig->{$v} = $still_contig->{$v};
+ }
+ } # end if @resolve
+
+ my $is_genealogical = keys %$conflict ? JSON::false : JSON::true;
+ my $variant_row = [ [], $is_genealogical ];
+ # Fill in the groupings from $contig.
+ foreach my $g ( @$groups ) {
+ my $gst = wit_stringify( $g );
+ my @realgroup = grep { $contig->{$_} eq $gst } keys %$contig;
+ push( @{$variant_row->[0]}, \@realgroup );
}
- $variant_row->{'genealogical'} = keys %$conflict ? undef : 1;
return $variant_row;
}
+sub _prune_group {
+ my( $group, $stemma, $graph ) = @_;
+ my $lacunose = {};
+ map { $lacunose->{$_} = 1 } $stemma->hypotheticals;
+ map { $lacunose->{$_} = 0 } @$group;
+ # Make our subgraph
+ my $subgraph = $graph->copy;
+ map { $subgraph->delete_vertex( $_ ) unless exists $lacunose->{$_} }
+ $subgraph->vertices;
+ # ...and find the root.
+ # Now prune and return the remaining vertices.
+ _prune_subtree( $subgraph, $lacunose );
+ return $subgraph->vertices;
+}
+
+sub _prune_subtree {
+ my( $tree, $lacunose ) = @_;
+
+ # Delete lacunose witnesses that have no successors
+ my @orphan_hypotheticals;
+ my $ctr = 0;
+ do {
+ die "Infinite loop on leaves" if $ctr > 100;
+ @orphan_hypotheticals = grep { $lacunose->{$_} }
+ $tree->successorless_vertices;
+ $tree->delete_vertices( @orphan_hypotheticals );
+ $ctr++;
+ } while( @orphan_hypotheticals );
+
+ # Delete lacunose roots that have a single successor
+ my @redundant_root;
+ $ctr = 0;
+ do {
+ die "Infinite loop on roots" if $ctr > 100;
+ @redundant_root = grep { $lacunose->{$_} && $tree->successors( $_ ) == 1 }
+ $tree->predecessorless_vertices;
+ $tree->delete_vertices( @redundant_root );
+ $ctr++;
+ } while( @redundant_root );
+}
+
+sub _prune_subtree_old {
+ my( $tree, $root, $contighash ) = @_;
+ # First, delete hypothetical leaves / orphans until there are none left.
+ my @orphan_hypotheticals = grep { ref( $contighash->{$_} ) }
+ $tree->successorless_vertices;
+ while( @orphan_hypotheticals ) {
+ $tree->delete_vertices( @orphan_hypotheticals );
+ @orphan_hypotheticals = grep { ref( $contighash->{$_} ) }
+ $tree->successorless_vertices;
+ }
+ # Then delete a hypothetical root with only one successor, moving the
+ # root to the first child that has no other predecessors.
+ while( $tree->successors( $root ) == 1 && ref $contighash->{$root} ) {
+ my @nextroot = $tree->successors( $root );
+ $tree->delete_vertex( $root );
+ ( $root ) = grep { $tree->is_predecessorless_vertex( $_ ) } @nextroot;
+ }
+ # The tree has been modified in place, but we need to know the new root.
+ $root = undef unless $root && $tree->has_vertex( $root );
+ return $root;
+}
# Add the variant, subject to a.c. representation logic.
# This assumes that we will see the 'main' version before the a.c. version.
sub add_variant_wit {
push( @$arr, $wit ) unless $skip;
}
-# Return an answer if the variant is useful, i.e. if there are at least 2 variants
-# with at least 2 witnesses each.
-sub useful_variant {
- my( $readings ) = @_;
- my $total = keys %$readings;
- foreach my $var ( keys %$readings ) {
- $total-- if @{$readings->{$var}} == 1;
- }
- return( undef, undef ) if $total <= 1;
- my( $groups, $text );
- foreach my $var ( keys %$readings ) {
- push( @$groups, $readings->{$var} );
- push( @$text, $var );
- }
- return( $groups, $text );
+sub _useful_variant {
+ my( $group_readings, $graph, $acstr ) = @_;
+
+ # TODO Decide what to do with AC witnesses
+
+ # Sort by group size and return
+ my $is_useful = 0;
+ my( @readings, @groups ); # The sorted groups for our answer.
+ foreach my $rdg ( sort { @{$group_readings->{$b}} <=> @{$group_readings->{$a}} }
+ keys %$group_readings ) {
+ push( @readings, $rdg );
+ push( @groups, $group_readings->{$rdg} );
+ if( @{$group_readings->{$rdg}} > 1 ) {
+ $is_useful++;
+ } else {
+ my( $wit ) = @{$group_readings->{$rdg}};
+ $wit =~ s/^(.*)\Q$acstr\E$/$1/;
+ $is_useful++ unless( $graph->is_sink_vertex( $wit ) );
+ }
+ }
+ if( $is_useful > 1 ) {
+ return( \@readings, \@groups );
+ } else {
+ return( [], [] );
+ }
}
-# Take an array of witness groupings and produce a string like
-# ['A','B'] / ['C','D','E'] / ['F']
+=head2 wit_stringify( $groups )
+
+Takes an array of witness groupings and produces a string like
+['A','B'] / ['C','D','E'] / ['F']
+
+=cut
sub wit_stringify {
my $groups = shift;
}
return join( ' / ', @gst );
}
-
-1;
\ No newline at end of file
+
+sub _symmdiff {
+ my( $lista, $listb ) = @_;
+ my %union;
+ my %scalars;
+ map { $union{$_} = 1; $scalars{$_} = $_ } @$lista;
+ map { $union{$_} += 1; $scalars{$_} = $_ } @$listb;
+ my @set = grep { $union{$_} == 1 } keys %union;
+ return map { $scalars{$_} } @set;
+}
+
+1;
+
+=head1 LICENSE
+
+This package is free software and is provided "as is" without express
+or implied warranty. You can redistribute it and/or modify it under
+the same terms as Perl itself.
+
+=head1 AUTHOR
+
+Tara L Andrews E<lt>aurum@cpan.orgE<gt>
projects / scpubgit/stemmatology.git / blobdiff