I did some quick playing with the methods shown here just to get an idea of speed. Before now i've never looked at List::Util because I could do it all myself but now I think I see the light. It provides an astounding speed bonus.
use strict;
use warnings;
use Benchmark ;
use List::Util qw(max shuffle);
my @a = (1..500_000);
my @b = shuffle (1..500_000);
my $greatest;
timethese(25, {
'sort_shuffled' =>
sub {($greatest)=sort{$b<=>$a}@b;},
'grep_shuffled' =>
sub {
grep($greatest=($_>$greatest)?$_:$greatest,@b);
},
'for_shuffled' =>
sub {
$greatest = 0;
for (@b) { $greatest = $_ if $_ > $greatest; }
},
'max_shuffled' =>
sub { max(@b) },
'sort_inorder' =>
sub {($greatest)=sort{$b<=>$a}@a;},
'grep_inorder' =>
sub {
grep($greatest=($_>$greatest)?$_:$greatest,@a);
},
'for_inorder' =>
sub {
$greatest = 0;
for (@a) { $greatest = $_ if $_ > $greatest; }
},
'max_inorder' =>
sub { max(@a) }
});
__DATA__
Benchmark: timing 25 iterations of for_inorder, for_shuffled, grep_ino
+rder, grep_shuffled, max_inord
er, max_shuffled, sort_inorder, sort_shuffled...
for_inorder: 5 wallclock secs ( 5.17 usr + 0.00 sys = 5.17 CPU) @
+4.83/s (n=25)
for_shuffled: 4 wallclock secs ( 3.55 usr + 0.00 sys = 3.55 CPU) @
+ 7.05/s (n=25)
grep_inorder: 4 wallclock secs ( 3.75 usr + 0.00 sys = 3.75 CPU) @
+ 6.67/s (n=25)
grep_shuffled: 4 wallclock secs ( 3.70 usr + 0.00 sys = 3.70 CPU) @
+ 6.75/s (n=25)
max_inorder: 1 wallclock secs ( 0.89 usr + 0.00 sys = 0.89 CPU) @ 2
+8.09/s (n=25)
max_shuffled: 1 wallclock secs ( 0.91 usr + 0.00 sys = 0.91 CPU) @
+27.59/s (n=25)
sort_inorder: 1 wallclock secs ( 1.73 usr + 0.02 sys = 1.75 CPU) @
+14.28/s (n=25)
sort_shuffled: 36 wallclock secs (34.34 usr + 0.05 sys = 34.39 CPU) @
+ 0.73/s (n=25)
I was curious if anyone could explain why grep is so much faster thant the for? Ohh and how do people do those cool comparison benchmarks with the chart?
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