I think you led me to the right direction: nanosecond.

I used the following script and compared the results with the original code. When averaging differences of 100 seconds (each script), the original comes out a bit better, but when averaging diffs of 300 seconds, the new script is better.

use strict;
use warnings;
use Math::BigFloat;
use Time::HiRes qw(gettimeofday sleep nanosleep);

...

sub old_script {
    my $max = $_[0];
    my @time_test;
    my $start = time();
    for (my $i = 0; $i < $max; $i++) {
        $start += 1;
        sleep $start - time();
        $time_test[$i] = Math::BigFloat->new(sprintf("%d.%06d", gettim
+eofday));
    }
    return @time_test;
}

sub new_script {
    my $max = $_[0];
    my @time_test;
    for (my $i = 0; $i < $max; $i++) {
        nanosleep (1000000000);
        $time_test[$i] = Math::BigFloat->new(sprintf("%d.%06d", gettim
+eofday));
    }
    return @time_test;
}

[download]

The averages:

# 100 s each script
old_script_values_avg : 1.000479131313131313131313131313131313131
new_script_values_avg : 1.001016101010101010101010101010101010101

# 300 s each script
old_script_values_avg : 0.9974391538461538461538461538461538461538
new_script_values_avg : 1.000457983277591973244147157190635451505

[download]

I believe I cannot get better results without atomic clock. Correct me if I’m wrong.

Anyway, thanks for the help and your time!

In reply to Re^4: The most precise second (timer) by tukusejssirs
in thread The most precise second (timer) by tukusejssirs

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