#!/usr/bin/perl -T
use lib '.'; use lib 't';
use SATest; sa_t_init("autolearn_force_fail");
use constant HAS_DB_FILE => eval { require DB_File; };
use Test::More;
plan skip_all => 'Need DB_File for this test' unless HAS_DB_FILE;
plan tests => 3;
# ---------------------------------------------------------------------------
%patterns = (
  q{ autolearn=no } => 'autolearn no',
);
%anti_patterns = (
  'autolearn=spam' => 'autolearned as spam',
);
tstprefs ("
header   AUTOLEARNTEST_FROM_HEADER      From =~ /@/
score    AUTOLEARNTEST_FROM_HEADER      13.0
describe AUTOLEARNTEST_FROM_HEADER      Test rule for Autolearning 
use_bayes 1
bayes_auto_learn 1
bayes_auto_learn_threshold_spam 12.0
");
ok (sarun ("-L -t < data/nice/001", \&patterns_run_cb));
ok_all_patterns();