Skip to main content

Sudoku in Perl5 #2 - Optimizing the Perl5 implementation

The test in BruteForceTest irritated me .. iterating across the whole row, testing each cell to see if it was the cell we didn't want to test against. And same for each row of the column, and each cell of the block. All those repeated tests must add up to a lot of wasted time, right?

So I came up with BruteForceRange, which doesn't iterate over the whole row, only the portions to the left and right of the current cell. In the column, it iterates over the cells above and below ... the block test is more complicated, we'll get to it.

The program is mostly the same as BruteForceTest. The first difference is the name changes:

package BruteForceRange;

Instead of specifying 0..8 for the row or column for loop ...

for my $c ( 0 .. 8 ) {
next CELL # don't test against self.
if $c == $col;

the new version specifies a portion to the left, and a portion to the right. This is possible because ranges in Perl must increment, a left boundary greater than the right one is an empty range.

for my $c ( 0..$col-1,$col+1..8 ) {

We no longer need a test, let alone 8 tests that fail. Test_col() is similar, iterating over the rows above and below, but not the actual one we're testing against. test_block() is more complicated. Instead of the former nested block:

for my $r ( $baserow .. $baserow + 2 ) {
CELL:
for my $c ( $basecol .. $basecol + 2 ) {
next CELL # don't test against self.
if $r == $row and $c == $col;

We still have to iterate over all the rows. If we're not in the test row, scan all the columns, but in the test row, scan only the rows above and below the test column. The ternary operator : test ? value-if-test-was-true : value-if-test-was-false is the compact solution. Using a two-part range within the ternary operator generates an error, unless you add parentheses to delimit the list ... or maybe it's to clarify the bounds of the if-true portion of the operator.

for my $r ( $baserow .. $baserow + 2 ) {
CELL:
for my $c ( $r == $row
? ($basecol..$col-1,$col+1..$basecol + 2)
: $basecol .. $basecol + 2 ) {

If the ternary operator combines with the split range freaks you out, an alternative would be to calculate the range between the loops and store the lements in an array:

for my $r ( $baserow .. $baserow + 2 ) {
CELL:
my @columns = ( $r == $row
? ($basecol..$col-1,$col+1..$basecol + 2)
: $basecol .. $basecol + 2
);
for my $c ( @columns ) {


I won't show you the driver program I used while testing and verifying the module, it's just like the other one only with slightly different names. More interesting is a program to compare the results:

use BruteForceRange;
use BruteForceTest;
use Benchmark qw/:all/;

my $ARGS = { input =>
'010056207'
. '000700005'
. '000300498'
. '000200380'
. '006000700'
. '051007000'
. '684002000'
. '100003000'
. '305460020'
};

cmpthese( -60, {
BruteForceTest => sub { BruteForceTest->new( $ARGS )->solve; },
BruteForceRange => sub { BruteForceRange->new( $ARGS )->solve; },
}
);

new() returns an object for the specified puzzle, which is then told to solve itself. Since we're not going to look at the results, but only solve the problem over and over to see how fast it is, that's the simplest arrangement, and keeps the cmpthese call short. If the first argument to cmpthese is a positive number, it's a count of how many runs to perform; a negative number is the number of seconds to spend running the specified block ... in this case, each version is tested over and over for 15 seconds.

The results? It's a tie! In fact, the superfluous tests are a fraction faster that than the split range, 27.7 reps/second compared to 27.4 reps/second. That's on a 2.66 GHz Mac Pro tower with one Nehalem ( i7 ) processor and 12 GB of 1066 MHz DD3 memory sitting around doing nothing.

bash-3.2$ perl5.10 compare.pl
Rate BruteForceRange BruteForceTest
BruteForceRange 27.4/s -- -1%
BruteForceTest 27.7/s 1% --
bash-3.2$

Comments

Popular posts from this blog

Perl5, Moxie and Enumurated Data Types

Moxie - a new object system for Perl5 Stevan Little created the Moose multiverse to upgrade the Perl 5 programming language's object-oriented system more in line with the wonderfull world of Perl 6. Unfortunately, it's grown into a bloated giant, which has inspired light-weight alternatives Moos, Moo, Mo, and others. Now he's trying to create a modern, efficient OO system that can become built into the language. I've seen a few of his presentations at YAPC (Yet Another Perl Conference, now known as TPC, The Perl Conference), among them ‎p5 mop final final v5 this is the last one i promise tar gz While the package provides some POD documentation about the main module, Moxie, it doesn't actually explain the enum package, Moxie::Enum. But delving into the tests directory reveals its secrets. Creating an Enum package Ranks { use Moxie::Enum; enum by_ARRAY => qw( unused 2 3 4 5 6 7 8 9 10 J Q K A ); enum by_HASH => { 2 => 2, 3 =...

Creating Perl5 Objects with Moxie

Having in the previous article prepared data types for car suits and card ranks, I can now combine them to provide a playing card class, using Stevan Little's Moxie module (version 0.04, so definitely early days.) The goal is to provide an object-oriented paradigm to the Perl 5 programming language which is more sophisticated, more powerful and less verbose than manually bless() -ing hashes. To achieve that goal it needs to be faster and light-weight compared to Moose. Currently, Moxie.pm and and MOP.pm are add-on modules, but eventually, when they are more complete, when the wrinkles have been ironed out, and when they have gained acceptance and a community of users, they might be merged into the Perl core. One significant feature of Moxie is that it reduces boilerplate code. You don't have to specify warnigns or strict . As well, the features or the perl you are using are enabled, among them say , state , signatures , and post_deref . A Simple Moxie Class packag...

Book review: 390+ Python Interview Questions and Answers

I downloaded a preview portion of 390+ Python MCQs from Anazon, thinking reading through it would help me advance my Python skills beyond what I have learned from Harvard’s online CS50P (Python) course. I’m an experienced program looking to add a new skill to my repertoire, and while the course covered many significant aspects of Python programming, there are many other details to perfect, such as best practices, developing packages, and so on. The book is written by Manish Dnyandeo Salunke, who claims 15 years experience in IT,  but it is not clear who published it. It is obvious no one edited it, or verified the correctness of the questions, answers and explanations. Amazon allowed me to download a sample of (I think) 57 questions. Roughly half of these were wrong, and some of the others struck me as irrelevant. The maximum allowed length for an identifier, apparently, is 79 characters. Anything over 20 characters should be considered unusual, so sufficient to say the limit is se...