Compress-Huffman/lib/Compress/Huffman.pm
package Compress::Huffman;
require Exporter;
@ISA = qw(Exporter);
@EXPORT_OK = qw//;
%EXPORT_TAGS = (
all => \@EXPORT_OK,
);
use warnings;
use strict;
use Carp;
use Scalar::Util 'looks_like_number';
use POSIX qw/ceil/;
use JSON::Create '0.22', 'create_json';
use JSON::Parse '0.42', 'parse_json';
our $VERSION = '0.08';
# eps is the allowed floating point error for summing the values of
# the symbol table to ensure they form a probability distribution.
use constant 'eps' => 0.0001;
# Private methods/functions
# Add the prefix $i to everything underneath us.
sub addcodetosubtable
{
my ($fakes, $h, $k, $size, $i) = @_;
my $subhuff = $fakes->{$k};
for my $j (0..$size - 1) {
my $subk = $subhuff->[$j];
if ($subk =~ /^fake/) {
addcodetosubtable ($fakes, $h, $subk, $size, $i);
}
else {
$h->{$subk} = $i . $h->{$subk};
}
}
}
# Public methods below here
sub new
{
return bless {};
}
sub symbols
{
# Object and the table of symbols.
my ($o, $s, %options) = @_;
if ($options{verbose}) {
$o->{verbose} = 1;
}
else {
$o->{verbose} = undef;
}
# Check $s is a hash reference.
if (ref $s ne 'HASH') {
croak "Use as \$o->symbols (\\\%symboltable, options...)";
}
# Copy the symbol table into our own thing. We need to put extra
# symbols in to it.
my %c = %$s;
$o->{c} = \%c;
# The number of symbols we encode with this Huffman code.
my $nentries = scalar keys %$s;
if (! $nentries) {
croak "Symbol table has no entries";
}
# Check we have numbers.
for my $k (keys %$s) {
if (! looks_like_number ($s->{$k})) {
croak "Non-numerical value '$s->{$k}' for key '$k'";
}
}
if ($o->{verbose}) {
print "Checked for numerical keys.\n";
}
my $size = $options{size};
if (! defined $size) {
$size = 2;
}
if ($size < 2 || int ($size) != $size) {
croak "Bad size $size for Huffman table, must be integer >= 2";
}
if ($size > 10 && ! $options{alphabet}) {
croak "Use \$o->symbols (\%t, alphabet => ['a', 'b',...]) for table sizes bigger than 10";
}
if ($o->{verbose}) {
print "Set size of Huffman code alphabet to $size.\n";
}
# If this is supposed to be a probability distribution, check
my $notprob = $options{notprob};
if ($notprob) {
for my $k (keys %$s) {
my $value = $s->{$k};
if ($value < 0.0) {
croak "Negative weight $value for symbol $k";
}
}
}
else {
my $total = 0.0;
for my $k (keys %$s) {
my $value = $s->{$k};
if ($value < 0.0 || $value > 1.0) {
croak "Value $value for symbol $k is not a probability; use \$o->symbols (\\\%s, notprob => 1) if not a probability distribution";
}
$total += $s->{$k};
}
if (abs ($total - 1.0) > eps) {
croak "Input values don't sum to 1.0; use \$o->symbols (\\\%s, notprob => 1) if not a probability distribution";
}
if ($o->{verbose}) {
print "Is a valid probability distribution (total = $total).\n";
}
}
# The number of tables. We need $t - 1 pointers to tables, which
# each require one table entry, so $t is the smallest number which
# satisfies
#
# $t * $size >= $nentries + $t - 1
my $t = ceil (($nentries -1) / ($size - 1));
if ($o->{verbose}) {
print "This symbol table requires $t Huffman tables of size $size.\n";
}
if ($size > 2) {
# The number of dummy entries we need is
my $ndummies = $t * ($size - 1) - $nentries + 1;
if ($o->{verbose}) {
print "The Huffman tables need $ndummies dummy entries.\n";
}
if ($ndummies > 0) {
# Insert $ndummies dummy entries with probability zero into
# our copy of the symbol table.
for (0..$ndummies - 1) {
my $dummy = "dummy$_";
if ($c{$dummy}) {
# This is a bug not a user error.
die "The symbol table already has an entry '$dummy'";
}
$c{$dummy} = 0.0;
}
}
}
# The end-product, the Huffman encoding of the symbol table.
my %h;
my $nfake = 0;
my %fakes;
while ($nfake < $t) {
if ($o->{verbose}) {
print "Making key list for sub-table $nfake / $t.\n";
}
my $total = 0;
my @keys;
# Find the $size keys with the minimum value and go through,
# picking them out.
for my $i (0..$size - 1) {
# This method is from
# https://stackoverflow.com/questions/1185822/how-do-i-create-or-test-for-nan-or-infinity-in-perl/1185828#1185828
# inf doesn't work on some versions of Perl, see
# http://www.cpantesters.org/cpan/report/314e30b0-6bfb-1014-8e6c-c1e3e4f7669d
my $min = 9**9**9;
my $minkey;
for my $k (sort keys %c) {
if ($c{$k} < $min) {
$min = $c{$k};
$minkey = $k;
}
}
$total += $min;
if ($o->{verbose}) {
print "Choosing $minkey with $min for symbol $i\n";
}
delete $c{$minkey};
push @keys, $minkey;
$h{$minkey} = $i;
}
# The total weight of this table.
# The next table
my @huff;
for my $i (0..$size - 1) {
my $k = $keys[$i];
if (! defined $k) {
last;
}
push @huff, $k;
if ($k =~ /^fake/) {
addcodetosubtable (\%fakes, \%h, $k, $size, $i);
}
}
my $fakekey = 'fake'.$nfake;
$c{$fakekey} = $total;
$fakes{$fakekey} = \@huff;
$nfake++;
}
if ($o->{verbose}) {
print "Deleting dummy keys.\n";
}
for my $k (keys %h) {
if ($k =~ /fake|dummy/) {
delete $h{$k};
}
}
$o->{h} = \%h;
$o->{s} = $s;
# Blank this out for the case that the user inserts a new symbol
# table, etc.
$o->{value_re} = undef;
$o->{r} = undef;
}
sub xl
{
my ($o) = @_;
my $h = $o->{h};
my $s = $o->{s};
croak "Bad object" unless $h && $s;
my $len = 0.0;
my $total = 0.0;
for my $k (keys %$h) {
$len += length ($h->{$k}) * $s->{$k};
$total += $s->{$k};
if ($o->{verbose}) {
print "$k $h->{$k} $s->{$k} $len\n";
}
}
return $len / $total;
}
sub table
{
my ($o) = @_;
return $o->{h};
}
sub encode_array
{
my ($o, $msg) = @_;
my @output;
for my $k (@$msg) {
my $h = $o->{h}{$k};
if (! defined $h) {
carp "Symbol '$k' is not in the symbol table";
next;
}
push @output, $h;
}
return \@output;
}
sub encode
{
my ($o, $msg) = @_;
my $output = $o->encode_array ($msg);
return join '', @$output;
}
sub decode
{
my ($o, $msg) = @_;
if (! $o->{value_re}) {
my @values = sort {length ($b) <=> length ($a)} values %{$o->{h}};
my $value_re = '(' . join ('|', @values) . ')';
$o->{value_re} = $value_re;
if ($o->{verbose}) {
print "Value regex is ", $o->{value_re}, "\n";
}
}
if (! $o->{r}) {
$o->{r} = {reverse %{$o->{h}}};
}
my @output;
while ($msg =~ s/^$o->{value_re}//) {
push @output, $o->{r}{$1};
}
if (length ($msg) > 0) {
carp "Input starting from $msg was not Huffman encoded using this table";
}
return \@output;
}
sub save
{
my ($o) = @_;
return create_json ($o);
}
sub load
{
my ($o, $data) = @_;
my $input = parse_json ($data);
for my $k (keys %$input) {
$o->{$k} = $input->{$k};
}
}
1;