use Statistics::DEA;
print "1..11\n";
my $eps = 1e-6;
my $dea = Statistics::DEA->new(1 - $eps, 1);
my $time = 0;
$dea->update(2, $time++);
$dea->update(6, $time++);
print "ok 1\n";
sub near {
my ($p, $q, $r) = @_;
abs($q ? $p / $q - 1 : $p) < (defined $r ? $r : 0.000001);
}
print "ok 2\n" if near($dea->{sum_of_weights} , 1.99999900005751e-06);
print "ok 3\n" if near($dea->{sum_of_data} , 7.99999800023004e-06);
print "ok 4\n" if near($dea->{sum_of_squared_data} , 3.99999960011502e-05);
print "ok 5\n" if near($dea->{previous_time} , 1);
print "ok 6\n" if near($dea->alpha , 1 - $eps);
print "ok 7\n" if near($dea->max_gap , 1);
print "ok 8\n" if near($dea->{max_weight} , 1.00000000002876e-06);
print "ok 9\n" if near($dea->average() , 4);
print "ok 10\n" if near($dea->standard_deviation() , 2);
print "ok 11\n" if near($dea->completeness($time) , 1.99999700005851e-06);