Mail-SpamAssassin
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lib/Mail/SpamAssassin/PerMsgLearner.pm view on Meta::CPAN
# <@LICENSE>
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to you under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# </@LICENSE>
=head1 NAME
Mail::SpamAssassin::PerMsgLearner - per-message status (spam or not-spam)
=head1 SYNOPSIS
my $spamtest = Mail::SpamAssassin->new({
'rules_filename' => '/etc/spamassassin.rules',
'userprefs_filename' => $ENV{HOME}.'/.spamassassin/user_prefs'
});
my $mail = $spamtest->parse();
my $status = $spamtest->learn($mail,$id,$isspam,$forget);
my $didlearn = $status->did_learn();
$status->finish();
=head1 DESCRIPTION
The Mail::SpamAssassin C<learn()> method returns an object of this
class. This object encapsulates all the per-message state for
the learning process.
=head1 METHODS
=over 4
=cut
package Mail::SpamAssassin::PerMsgLearner;
use strict;
use warnings;
# use bytes;
use re 'taint';
use Mail::SpamAssassin;
use Mail::SpamAssassin::PerMsgStatus;
use Mail::SpamAssassin::Bayes;
use Mail::SpamAssassin::Logger;
our @ISA = qw();
###########################################################################
sub new {
my $class = shift;
$class = ref($class) || $class;
my ($main, $msg) = @_;
my $self = {
'main' => $main,
'msg' => $msg,
'learned' => 0,
'master_deadline' => $msg->{master_deadline}, # dflt inherited from msg
};
$self->{conf} = $self->{main}->{conf};
$self->{bayes_scanner} = $self->{main}->{bayes_scanner};
bless ($self, $class);
$self;
}
###########################################################################
# $status->learn_spam($id)
#
( run in 0.972 second using v1.01-cache-2.11-cpan-8f98c5d2c55 )