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#!/usr/bin/perl
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 = (
q{ 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();
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