/usr/share/perl5/RDF/Query/Algebra/Aggregate.pm is in librdf-query-perl 2.916-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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# -----------------------------------------------------------------------------
=head1 NAME
RDF::Query::Algebra::Aggregate - Algebra class for aggregate patterns
=head1 VERSION
This document describes RDF::Query::Algebra::Aggregate version 2.916.
=cut
package RDF::Query::Algebra::Aggregate;
use strict;
use warnings;
no warnings 'redefine';
use base qw(RDF::Query::Algebra);
use Scalar::Util qw(blessed reftype);
use Data::Dumper;
use Carp qw(carp croak confess);
use RDF::Trine::Iterator qw(smap);
######################################################################
our ($VERSION);
BEGIN {
$VERSION = '2.916';
}
######################################################################
=head1 METHODS
Beyond the methods documented below, this class inherits methods from the
L<RDF::Query::Algebra> class.
=over 4
=cut
=item C<new ( $pattern, \@groupby, $alias => [$op => $col] )>
=item C<new ( $pattern, \@groupby, expressions => [ $alias => [$op, \%options, @cols] ] )>
Returns a new Aggregate structure. Groups by the named bindings in C<< @groupby >>,
and returns new bindings for the named C<< $alias >> for the operation C<< $op >>
on column C<< $col >>.
C<< $op >> may be one of: COUNT, MIN, MAX, SUM.
=cut
sub new {
my $class = shift;
my $pattern = shift;
my $groupby = shift;
my @ops;
if (scalar(@_) and ref($_[0]) and reftype($_[0]) eq 'HASH') {
my $hash = shift;
@ops = @{ $hash->{ 'expressions' } || [] };
} else {
while (@_) {
my ($alias, $data) = splice(@_,0,2,());
my $op = shift(@$data);
my @data = ($op, {}, @$data);
push(@ops, $alias, \@data);
}
@ops = @_;
}
return bless( [ $pattern, $groupby, \@ops ] );
}
=item C<< construct_args >>
Returns a list of arguments that, passed to this class' constructor,
will produce a clone of this algebra pattern.
=cut
sub construct_args {
my $self = shift;
my @ops = @{ $self->[2] };
return ($self->pattern, [ $self->groupby ], { expressions => \@ops });
}
=item C<< pattern >>
Returns the aggregates pattern.
=cut
sub pattern {
my $self = shift;
return $self->[0];
}
=item C<< groupby >>
Returns the aggregate's GROUP BY binding names.
=cut
sub groupby {
my $self = shift;
return @{ $self->[1] };
}
=item C<< ops >>
Returns a list of tuples as ARRAY refs containing C<< $alias, $op, @cols >>.
=cut
sub ops {
my $self = shift;
my @ops = @{ $self->[2] };
my @tuples;
while (@ops) {
my $alias = shift(@ops);
my $data = shift(@ops);
my ($op, $opts, @col) = @$data;
push(@tuples, [$alias, $op, $opts, @col]);
}
return @tuples;
}
=item C<< sse >>
Returns the SSE string for this algebra expression.
=cut
sub sse {
my $self = shift;
my $context = shift;
my $prefix = shift || '';
my $indent = ($context->{indent} ||= ' ');
my @ops_sse;
my @ops = $self->ops;
foreach my $data (@ops) {
my ($alias, $op, $opts, @cols) = @$data;
my @col_strings = map { (not(blessed($_)) and $_ eq '*') ? '*' : $_->sse( $context, "${prefix}${indent}" ) } @cols;
my $col_string = join(' ', @col_strings);
if (@col_strings > 1) {
$col_string = '(' . $col_string . ')';
}
my %op_opts = %{ $opts || {} };
my @opts_keys = keys %op_opts;
if (@opts_keys) {
my $opt_string = '(' . join(' ', map { $_, qq["$op_opts{$_}"] } @opts_keys) . ')';
push(@ops_sse, sprintf('(alias "%s" (%s %s %s))', $alias, $op, $col_string, $opt_string));
} else {
push(@ops_sse, sprintf('(alias "%s" (%s %s))', $alias, $op, $col_string));
}
}
my @group = $self->groupby;
my $group = (@group) ? '(' . join(', ', map {$_->sse($context, $prefix)} @group) . ')' : '';
return sprintf(
"(aggregate\n${prefix}${indent}%s\n${prefix}${indent}(%s)\n${prefix}${indent}%s)",
$self->pattern->sse( $context, "${prefix}${indent}" ),
join(', ', @ops_sse),
$group,
);
}
=item C<< as_sparql >>
Returns the SPARQL string for this algebra expression.
=cut
sub as_sparql {
my $self = shift;
my $context = shift;
my $indent = shift;
return $self->pattern->as_sparql($context, $indent);
}
=item C<< as_hash >>
Returns the query as a nested set of plain data structures (no objects).
=cut
sub as_hash {
my $self = shift;
my $context = shift;
my @ops = $self->ops;
my @expressions;
foreach my $o (@ops) {
my ($alias, $op, $agg_options, @cols) = @$o;
push(@expressions, { alias => $alias, op => $op, scalarvals => $agg_options, columns => [ map { $_->as_hash } @cols ] });
}
return {
type => lc($self->type),
pattern => $self->pattern->as_hash,
groupby => [ map { $_->as_hash } $self->groupby ],
expressions => \@expressions,
};
}
=item C<< type >>
Returns the type of this algebra expression.
=cut
sub type {
return 'AGGREGATE';
}
=item C<< referenced_variables >>
Returns a list of the variable names used in this algebra expression.
=cut
sub referenced_variables {
my $self = shift;
my @aliases = map { $_->[0] } $self->ops;
return RDF::Query::_uniq( @aliases, $self->pattern->referenced_variables );
}
=item C<< potentially_bound >>
Returns a list of the variable names used in this algebra expression that will
bind values during execution.
=cut
sub potentially_bound {
my $self = shift;
my @vars;
# push(@vars, map { $_->[0] } $self->ops);
foreach my $g ($self->groupby) {
if (blessed($g)) {
if ($g->isa('RDF::Query::Node::Variable')) {
push(@vars, $g->name);
} elsif ($g->isa('RDF::Query::Expression::Alias')) {
push(@vars, $g->name);
}
}
}
return RDF::Query::_uniq(@vars);
# return RDF::Query::_uniq( @aliases, $self->pattern->referenced_variables );
}
=item C<< definite_variables >>
Returns a list of the variable names that will be bound after evaluating this algebra expression.
=cut
sub definite_variables {
my $self = shift;
my @aliases = map { $_->[0] } $self->ops;
return @aliases;
}
1;
__END__
=back
=head1 AUTHOR
Gregory Todd Williams <gwilliams@cpan.org>
=cut
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