Well, who can tell? You only gave us the results of the benchmark, not what you actually tested - neither the code, nor the input.

yeah, sorry.. Now deleted the code, so I can't post exactly what I benchmarked, but it was just an array of 200 or so 4 digit integers. The code was as basic as I could make it.

something like: 
use Benchmark;

my @array = (6252,8278, ...array of 200 4 digit integers...;

timethese(0, {
     sorty => \&sorty,
     space => \&spaceship,
     comp  => \&comp
});

sub sorty {
  return sort @array
}

sub comp {
  return sort {$a cmp $b} @array
}

sub spaceship {
  return sort {$a <=> $b} @array
}

## gives:
Benchmark: running comp, sorty, space, each for at least 3 CPU seconds
+...
      comp:  2 wallclock secs ( 3.05 usr +  0.02 sys =  3.07CPU) @ 617
+076.87/s (n=1894426)
     sorty:  1 wallclock secs ( 3.06 usr + -0.00 sys =  3.06CPU) @ 650
+267.65/s (n=1989819)
     space:  3 wallclock secs ( 3.38 usr +  0.02 sys =  3.40CPU) @ 590
+187.65/s (n=2006638)

[download]
I was just surprised that sorting using cmp was not much slower than <=>; for .. I realise now that I just hadn't thought about it too much (heavy weekend), and if I had, I probably wouldn't have had a preconcieved idea about the relative speeds..(fiddling with the sizes of the integers, making them 1-16 digits long doesn't have much effect on the relative (or actual) speed of the sorts, either, btw).

I shall just use sort on its lonesome, I think.

In reply to Re: Re: = vs cmp by Jasper
in thread &lt;=&gt; vs cmp by Jasper

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