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lib/Affix/Wrap.pm view on Meta::CPAN
# Case 1: Simple named type (e.g. "Int", "UChar")
if ( $type_str =~ /^(\w+)$/ ) {
no strict 'refs';
my $fn = "Affix::$type_str";
return $fn->() if defined &{$fn}; # Return Affix::Int() object
return '@' . $type_str; # Return string "@png_byte"
}
# Case 2: Complex string (e.g. "Pointer[Void]")
# We return the string directly so Affix::affix() can parse it
return $type_str;
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lib/Aion/Fs.pm view on Meta::CPAN
=item * L<IO::All> â C<< @paths = map { "$_" } grep { -f $_ && $_-E<gt>size E<gt> 10*1024 } io(".")-E<gt>all(0) >>.
=item * L<IO::All::Rule> â C<< $next = IO::All::Rule-E<gt>new-E<gt>file-E<gt>size("E<gt>10k")-E<gt>iter($dir1, $dir2); push @paths, "$f" while $f = $next-E<gt>() >>.
=item * L<File::Find> â C<find( sub { push @paths, $File::Find::name if /\.png/ }, $dir )>.
=item * L<File::Find::utf8> â like L<File::Find>, only file paths are in I<utf8>.
=item * L<File::Find::Age> â sorts files by modification time (inherits L<File::Find::Rule>): C<< File::Find::Age-E<gt>in($dir1, $dir2) >>.
lib/Aion/Fs.pm view on Meta::CPAN
=item * L<File::Find::Rex> â C<< @paths = File::Find::Rex-E<gt>new(recursive =E<gt> 1, ignore_hidden =E<gt> 1)-E<gt>query($dir, qr/^b/i) >>.
=item * L<File::Find::Rule> â C<< @files = File::Find::Rule-E<gt>any( File::Find::Rule-E<gt>file-E<gt>name('*.mp3', '*.ogg')-E<gt>size('E<gt>2M'), File::Find::Rule-E<gt>empty )-E<gt>in($dir1, $dir2); >>. Has an iterator, procedural interface and ex...
=item * L<File::Find::Wanted> â C<@paths = find_wanted( sub { -f && /\.png/ }, $dir )>.
=item * L<File::Hotfolder> â C<< watch( $dir, callback =E<gt> sub { push @paths, shift } )-E<gt>loop >>. Powered by C<AnyEvent>. Customizable. There is parallelization into several processes.
=item * L<File::Mirror> â also forms a parallel path for copying files: C<recursive { my ($src, $dst) = @_; push @paths, $src } '/path/A', '/path/B'>.
lib/Aion/Fs.pm view on Meta::CPAN
=item * L<File::Util> â C<< File::Util-E<gt>new-E<gt>list_dir($dir, qw/ --pattern=\.txt$ --files-only --recurse /) >>.
=item * L<Mojo::File> â C<< say for path($path)-E<gt>list_tree({hidden =E<gt> 1, dir =E<gt> 1})-E<gt>each >>.
=item * L<Path::Find> â C<@paths = path_find( $dir, "*.png" )>. For complex queries, use I<matchable>: C<< my $sub = matchable( sub { my( $entry, $directory, $fullname, $depth ) = @_; $depth E<lt>= 3 } >>.
=item * L<Path::Extended::Dir> â C<< @paths = Path::Extended::Dir-E<gt>new($dir)-E<gt>find('*.txt') >>.
=item * L<Path::Iterator::Rule> â C<< $i = Path::Iterator::Rule-E<gt>new-E<gt>file; @paths = $i-E<gt>clone-E<gt>size("E<gt>10k")-E<gt>all(@dirs); $i-E<gt>size("E<lt>10k")... >>.
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lib/Album/Tutorial.pm view on Meta::CPAN
info.dat: Cannot update (does not exist)
Number of entries = 7 (7 added)
mkdir thumbnails
mkdir icons
mkdir css
Creating icons: first-gr.png first.png ... sound.png movie.jpg
Creating style sheets: common.css index.css ... journal.css
im023.jpg: thumbnail OK
im024.jpg: thumbnail OK
im025.jpg: thumbnail OK
im026.jpg: thumbnail OK
lib/Album/Tutorial.pm view on Meta::CPAN
When parsing C<info.dat>, Album treats anything up to a known file
name extension to be part of the file name. In general, this means
that you can safely enter file names with whitespace and other
uglyness.
Known file name extensions are C<jpg>, C<jpeg>, C<png>, and C<gif> for
images, C<mpg>, C<mpeg>, C<mov>, and C<avi> for movies, and C<html>
and C<htm> for links.
=head1 AUTHOR AND CREDITS
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lib/Algorithm/Accounting/Report/Imager.pm view on Meta::CPAN
my $rows = sum(values %$occ);
}
sub save {
my ($obj,$file) = @_;
for my $format (qw (png gif jpg tiff ppm)) {
if ($Imager::formats{$format}) {
$obj->write(file=>"${file}.${format}")
or die $obj->errstr;
print STDERR "${file}.${format} saved";
last;
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lib/Algorithm/BinPack/2D.pm view on Meta::CPAN
An example use would be backing up small images to concatenated images,
while minimizing the number of images required.
my $bp = Algorithm::BinPack::2D->new(binwidth => 512, binheight => 512);
$bp->add_item(label => "one.png", width => 30, height => 10);
$bp->add_item(label => "two.png", width => 200, height => 40);
$bp->add_item(label => "three.png", width => 30, height => 300);
$bp->add_item(label => "four.png", width => 400, height => 100);
for ($bp->pack_bins) {
print "Bin width: ", $_->{width}, " x ", $_->{height}, "\n";
print " Item: ", $_->{label}, "\n" for @{ $_->{items} };
}
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samples/s4.pl view on Meta::CPAN
my $color = $colors[128 * rand];
$im->rectangle($x0, $y0, $x1 - 1, $y1 - 1, $color);
$im->string(gdSmallFont, $x0, ($y0+$y1)/2, "[@ids]", $color);
}
open my $file, '>', 'image.png';
print $file $im->png;
close $file;
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example/draw.pl view on Meta::CPAN
my ($n, $pixels, $out) = @ARGV;
$pixels ||= 1024;
$n ||= 100000;
$out ||= 'image.png';
open my $fh, '>', $out
or die "unable to open $out: $!";
example/draw.pl view on Meta::CPAN
my ($x, $y) = $clp->point_coords($_);
$im->setPixel($x * $scale, $y * $scale, $color);
}
}
print $fh $im->png;
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Algorithm::ConsistentHash::Ketama - Implements Ketama Algorithm In XS
## TRAVIS CI
[](http://travis-ci.org/lestrrat/Algorithm-ConsistentHash-Ketama)
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META.json
META.yml
Makefile.PL
README
dist.ini
html/cc_icons.png
html/index.html
html/jquery.couponcode.css
html/jquery.couponcode.js
html/style.css
lib/Algorithm/CouponCode.pm
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lib/Algorithm/DecisionTree.pm view on Meta::CPAN
=item B<display_all_plots():>
This method displays the results obtained by calling the prediction method of the
previous entry. This method also creates a hardcopy of the plots and saves it as a
C<.png> disk file. The name of this output file is always C<regression_plots.png>.
=item B<mse_for_tree_regression_for_all_training_samples( $root_node ):>
This method carries out an error analysis of the predictions for the samples in your
training datafile. It shows you the overall MSE (Mean Squared Error) with tree-based
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lib/Algorithm/DependencySolver/Solver.pm view on Meta::CPAN
);
my $solver =
Algorithm::DependencySolver::Solver->new(nodes => \@operations);
$solver->to_png("pretty-graph.png");
my $traversal = Algorithm::DependencySolver::Traversal->new(
Solver => $solver,
lib/Algorithm/DependencySolver/Solver.pm view on Meta::CPAN
=head2 get_Graph
Returns the dependency graph as a L<Graph> object. Note that only
operations are included in the graph, not resources. This is of most
use to the L<Algorithm::DependencySolver::Traversal> module, and the
C<to_dot> and C<to_png> methods.
=cut
has 'Graph' => (
is => 'ro',
lib/Algorithm/DependencySolver/Solver.pm view on Meta::CPAN
method to_s() {
return $self->get_GraphEasy->as_ascii();
}
=head2 to_png
$solver->to_png($file)
Outputs a dependency graph (showing only operations) to the given file
in PNG format
=cut
method to_png($file) {
die "Only sane file names, please (you gave: $file)" unless
$file =~ m/^[a-z0-9_\-\.\/]+$/i;
open my $dot, "|dot -Tpng -o'$file'" or die ("Cannot open pipe to dot (-o $file): $!");
print $dot $self->get_GraphEasy->as_graphviz;
}
=head2 to_dot
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lib/Algorithm/ExpectationMaximization.pm view on Meta::CPAN
}
}
$arg_string = $arg_string =~ /^(.*),[ ]+$/;
$arg_string = $1;
if ($visualization_data_field_width > 2) {
$plot->gnuplot_cmd( 'set terminal png color',
'set output "cluster_plot.png"');
$plot->gnuplot_cmd( "splot $arg_string" );
} elsif ($visualization_data_field_width == 2) {
$plot->gnuplot_cmd('set terminal png',
'set output "cluster_plot.png"');
$plot->gnuplot_cmd( "plot $arg_string" );
} elsif ($visualization_data_field_width == 1) {
$plot->gnuplot_cmd('set terminal png',
'set output "cluster_plot.png"');
$plot->gnuplot_cmd( "plot $arg_string" );
}
}
# This method is for the visualization of the posterior class distributions. In
lib/Algorithm/ExpectationMaximization.pm view on Meta::CPAN
}
$arg_string = $arg_string =~ /^(.*),[ ]+$/;
$arg_string = $1;
if ($visualization_data_field_width > 2) {
$plot->gnuplot_cmd( 'set terminal png',
'set output "posterior_prob_plot.png"');
$plot->gnuplot_cmd( "splot $arg_string" );
} elsif ($visualization_data_field_width == 2) {
$plot->gnuplot_cmd( 'set terminal png',
'set output "posterior_prob_plot.png"');
$plot->gnuplot_cmd( "plot $arg_string" );
} elsif ($visualization_data_field_width == 1) {
$plot->gnuplot_cmd( 'set terminal png',
'set output "posterior_prob_plot.png"');
$plot->gnuplot_cmd( "plot $arg_string" );
}
}
# The method shown below should be called only AFTER you have called the method
lib/Algorithm/ExpectationMaximization.pm view on Meta::CPAN
}
$arg_string = "\"$temp_file\" using 2:xtic(1) ti col smooth frequency with boxes lc rgb 'green'";
close OUTPUT;
}
if ($visualization_data_field_width > 2) {
$plot->gnuplot_cmd( 'set terminal png',
'set output "data_scatter_plot.png"');
$plot->gnuplot_cmd( "splot $arg_string" );
} elsif ($visualization_data_field_width == 2) {
$plot->gnuplot_cmd( 'set terminal png',
'set output "data_scatter_plot.png"');
$plot->gnuplot_cmd( "plot $arg_string" );
} elsif ($visualization_data_field_width == 1) {
$plot->gnuplot_cmd( 'set terminal png',
'set output "data_scatter_plot.png"');
$plot->gnuplot_cmd( "plot $arg_string" );
}
}
lib/Algorithm/ExpectationMaximization.pm view on Meta::CPAN
$clusterer->plot_hardcopy_clusters($visualization_mask);
$clusterer->plot_hardcopy_distributions($visualization_mask);
# where the last two invocations are for writing out the PNG plots of the
# visualization displays to disk files. The PNG image of the posterior
# probability distributions is written out to a file named posterior_prob_plot.png
# and the PNG image of the disjoint clusters to a file called cluster_plot.png.
# SYNTHETIC DATA GENERATION:
# The module has been provided with a class method for generating multivariate
# data for experimenting with the EM algorithm. The data generation is controlled
lib/Algorithm/ExpectationMaximization.pm view on Meta::CPAN
=item I<canned_example1.pl>
This example applies the EM algorithm to the data contained in the datafile
C<mydatafile.dat>. The mixture data in the file corresponds to three overlapping
Gaussian components in a star-shaped pattern. The EM based clustering for this data
is shown in the files C<save_example_1_cluster_plot.png> and
C<save_example_1_posterior_prob_plot.png>, the former displaying the hard clusters
obtained by using the naive Bayes' classifier and the latter showing the soft
clusters obtained on the basis of the posterior class probabilities at the data
points.
=item I<canned_example2.pl>
The datafile used in this example is C<mydatafile2.dat>. This mixture data
corresponds to two well-separated relatively isotropic Gaussians. EM based clustering for this
data is shown in the files C<save_example_2_cluster_plot.png> and
C<save_example_2_posterior_prob_plot.png>, the former displaying the hard clusters
obtained by using the naive Bayes' classifier and the latter showing the soft
clusters obtained by using the posterior class probabilities at the data points.
=item I<canned_example3.pl>
Like the first example, this example again involves three Gaussians, but now their
means are not co-located. Additionally, we now seed the clusters manually by
specifying three selected data points as the initial guesses for the cluster means.
The datafile used for this example is C<mydatafile3.dat>. The EM based clustering
for this data is shown in the files C<save_example_3_cluster_plot.png> and
C<save_example_3_posterior_prob_plot.png>, the former displaying the hard clusters
obtained by using the naive Bayes' classifier and the latter showing the soft
clusters obtained on the basis of the posterior class probabilities at the data
points.
=item I<canned_example4.pl>
Whereas the three previous examples demonstrated EM based clustering of 2D data, we
now present an example of clustering in 3D. The datafile used in this example is
C<mydatafile4.dat>. This mixture data corresponds to three well-separated but highly
anisotropic Gaussians. The EM derived clustering for this data is shown in the files
C<save_example_4_cluster_plot.png> and C<save_example_4_posterior_prob_plot.png>, the
former displaying the hard clusters obtained by using the naive Bayes' classifier and
the latter showing the soft clusters obtained on the basis of the posterior class
probabilities at the data points.
You may also wish to run this example on the data in a CSV file in the C<examples>
lib/Algorithm/ExpectationMaximization.pm view on Meta::CPAN
We again demonstrate clustering in 3D but now we have one Gaussian cluster that
"cuts" through the other two Gaussian clusters. The datafile used in this example is
C<mydatafile5.dat>. The three Gaussians in this case are highly overlapping and
highly anisotropic. The EM derived clustering for this data is shown in the files
C<save_example_5_cluster_plot.png> and C<save_example_5_posterior_prob_plot.png>, the
former displaying the hard clusters obtained by using the naive Bayes' classifier and
the latter showing the soft clusters obtained through the posterior class
probabilities at the data points.
=item I<canned_example6.pl>
This example, added in Version 1.2, demonstrates the use of this module for 1-D data.
In order to visualize the clusters for the 1-D case, we show them through their
respective histograms. The datafile used in this example is C<mydatafile7.dat>. The
data consists of two overlapping Gaussians. The EM derived clustering for this data
is shown in the files C<save_example_6_cluster_plot.png> and
C<save_example_6_posterior_prob_plot.png>, the former displaying the hard clusters
obtained by using the naive Bayes' classifier and the latter showing the soft
clusters obtained through the posterior class probabilities at the data points.
=back
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lib/Algorithm/KMeans.pm view on Meta::CPAN
my $plot;
my $hardcopy_plot;
if (!defined $pause_time) {
$plot = Graphics::GnuplotIF->new( persist => 1 );
$hardcopy_plot = Graphics::GnuplotIF->new();
$hardcopy_plot->gnuplot_cmd('set terminal png', "set output \"clustering_results.png\"");
} else {
$plot = Graphics::GnuplotIF->new();
}
$plot->gnuplot_cmd( "set noclip" );
$plot->gnuplot_cmd( "set pointsize 2" );
lib/Algorithm/KMeans.pm view on Meta::CPAN
in the directory in which you execute the module. The number of such files will
equal the number of clusters formed. All such existing files in the directory are
destroyed before any fresh ones are created. Each cluster file contains the symbolic
ID tags of the data samples in that cluster.
The module also leaves in your directory a printable `.png' file that is a point plot
of the different clusters. The name of this file is always C<clustering_results.png>.
Also, as mentioned previously, a call to C<kmeans()> in your own code will return the
clusters and the cluster centers.
=head1 REQUIRED
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examples/cleanup_directory.pl view on Meta::CPAN
unlink glob "cluster*.txt";
unlink glob "__temp_*";
unlink glob "clustering*at*iteration*.png";
unlink "initial_clusters.png";
unlink "final_clustering.png";
unlink glob "*produced_by_graph_partitioning.png";
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lib/Algorithm/RandomPointGenerator.pm view on Meta::CPAN
set yrange [$y_lower:$y_upper]
set pm3d
splot "$temp_file" with pm3d
END
unless (defined $pause_time) {
my $hardcopy_name = "output_histogram_for_$master_file_basename.png";
my $plot1 = Graphics::GnuplotIF->new();
$plot1->gnuplot_cmd( 'set terminal png', "set output \"$hardcopy_name\"");
$plot1->gnuplot_cmd( $argstring );
my $plot2 = Graphics::GnuplotIF->new(persist => 1);
$plot2->gnuplot_cmd( $argstring );
} else {
my $plot = Graphics::GnuplotIF->new();
lib/Algorithm/RandomPointGenerator.pm view on Meta::CPAN
hist2.csv bb2.csv
If you run the C<generate_random_points.pl> script with the C<hist1.csv> and
C<bb1.csv> files, the histogram you get for the 2000 random points generated by the
module will look like what you see in the file C<output_histogram_for_hist1.png>. On
a Linux machine, you can see this histogram with the usual C<display> command from
the ImageMagick library. And if you run C<generate_random_points.pl> script with the
C<hist2.csv> and C<bb2.csv> files, you'll see an output histogram that should look
like what you see in C<output_histogram_for_hist2.png>.
You should also try invoking the command-line calls:
genRand2D --histfile hist1.csv --bbfile bb1.csv
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lib/Algorithm/TimelinePacking.pm view on Meta::CPAN
## Example Output
The module arranges overlapping time intervals into non-overlapping rows,
perfect for Gantt-style visualizations:

*75 Hadoop MapReduce jobs arranged into 11 parallel execution lanes.
See `examples/hadoop-jobs.html` for the full demo.*
=end markdown
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lib/Alice/IRC.pm view on Meta::CPAN
use Digest::MD5 qw/md5_hex/;
use Any::Moose;
use Encode;
my $email_re = qr/([^<\s]+@[^\s>]+\.[^\s>]+)/;
my $image_re = qr/(https?:\/\/\S+(?:jpe?g|png|gif))/i;
{
no warnings;
# YUCK!!!
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# Alien::Build::Plugin::Cleanse::BuildDir [](http://travis-ci.org/shawnlaffan/Alien-Build-Plugin-Cleanse-BuildDir)
Alien::Build plugin to cleanse the build dir
# SYNOPSIS
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# Alien::Build::Plugin::PkgConfig::PPWrapper [](http://travis-ci.org/shawnlaffan/Alien-Build-Plugin-PkgConfig-PPWrapper)
Alien::Build plugin to ensure the pure perl PkgConfig is not run by the MSYS perl
# SYNOPSIS
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lib/Alien/Build/Manual/AlienUser.pod
lib/Alien/Build/Manual/Contributing.pod
lib/Alien/Build/Manual/FAQ.pod
lib/Alien/Build/Manual/PluginAuthor.pod
lib/Alien/Build/Manual/Security.pod
lib/Alien/Build/Manual/image/PluginAuthor-flowchart.png
lib/Alien/Build/Manual/image/PluginAuthor-flowchart.svg
lib/Alien/Build/Plugin.pm
lib/Alien/Build/Plugin/Build.pod
lib/Alien/Build/Plugin/Build/Autoconf.pm
lib/Alien/Build/Plugin/Build/CMake.pm
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cp/codepress/engines/gecko.js
cp/codepress/engines/khtml.js
cp/codepress/engines/msie.js
cp/codepress/engines/older.js
cp/codepress/engines/opera.js
cp/codepress/images/line-numbers.png
cp/codepress/index.html
cp/codepress/languages/asp.css
cp/codepress/languages/asp.js
cp/codepress/languages/autoit.css
cp/codepress/languages/autoit.js
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lib/Alien/Ditaa.pm view on Meta::CPAN
=head1 METHODS
=head2 run_ditaa ($input_fn, $output_fn, [@args])
Runs ditaa on the input file to produce an output png.
See the ditaa documentation for additional arguments you
may want (but probably don't).
Returns the exit status of the java process (i.e. 0 for success)
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maint/devops.yml view on Meta::CPAN
packages:
- pkg-config
- gettext
- libjpeg-dev
- libtiff4-dev
- libpng12-dev
- libfreetype6-dev
- libgif-dev
- libx11-dev
- libxml2-dev
- libpango1.0-dev
maint/devops.yml view on Meta::CPAN
- libtool
- gettext
- pango
- cairo
- fontconfig
- libpng
- jpeg
- libtiff
- giflib
- libspiro
- libuninameslist
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src/Source/LibPNG/CHANGES
src/Source/LibPNG/CMakeLists.txt
src/Source/LibPNG/configure
src/Source/LibPNG/example.c
src/Source/LibPNG/INSTALL
src/Source/LibPNG/libpng-manual.txt
src/Source/LibPNG/LibPNG.2005.vcproj
src/Source/LibPNG/LibPNG.2008.vcproj
src/Source/LibPNG/LibPNG.2013.vcxproj
src/Source/LibPNG/LibPNG.2013.vcxproj.filters
src/Source/LibPNG/libpng.3
src/Source/LibPNG/libpngpf.3
src/Source/LibPNG/LICENSE
src/Source/LibPNG/png.5
src/Source/LibPNG/png.c
src/Source/LibPNG/png.h
src/Source/LibPNG/pngconf.h
src/Source/LibPNG/pngdebug.h
src/Source/LibPNG/pngerror.c
src/Source/LibPNG/pngget.c
src/Source/LibPNG/pnginfo.h
src/Source/LibPNG/pnglibconf.h
src/Source/LibPNG/pngmem.c
src/Source/LibPNG/pngpread.c
src/Source/LibPNG/pngpriv.h
src/Source/LibPNG/pngread.c
src/Source/LibPNG/pngrio.c
src/Source/LibPNG/pngrtran.c
src/Source/LibPNG/pngrutil.c
src/Source/LibPNG/pngset.c
src/Source/LibPNG/pngstruct.h
src/Source/LibPNG/pngtest.c
src/Source/LibPNG/pngtrans.c
src/Source/LibPNG/pngwio.c
src/Source/LibPNG/pngwrite.c
src/Source/LibPNG/pngwtran.c
src/Source/LibPNG/pngwutil.c
src/Source/LibPNG/README
src/Source/LibPNG/TODO
src/Source/LibRawLite/Changelog.txt
src/Source/LibRawLite/COPYRIGHT
src/Source/LibRawLite/dcraw/dcraw.1.html
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test/functional/examples.pl view on Meta::CPAN
print STDERR "CSS $path_info\n";
my $response = HTTP::Response->new(RC_OK);
$response->header('Content-Type' => 'text/css; charset=utf-8');
$client_connection->send_file("../$path_info");
}
elsif ($path_info =~ /^.*\.(gif|png|jpg|jpeg)$/) {
print STDERR "IMAGE $path_info\n";
$client_connection->send_file_response("../$path_info");
}
else {
$client_connection->send_file_response("../../$path_info");
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patches/Makefile_cd.mingw view on Meta::CPAN
CF_cd = -c -Wall -O2 -I. -Idrv -Ix11 -Iwin32 -Iintcgm -Isim -Icairo -Isvg -I../include -I../../freetype/include -I../../zlib/include -DUNICODE $(CF_cd_EXTRA)
LF_cd = -lfreetype6 -lzlib1 -lkernel32 -luser32 -lgdi32 -lwinspool -lcomdlg32 -ladvapi32 -lshell32 -luuid -loleaut32 -lole32 -lcomctl32 $(LF_cd_EXTRA)
SLIB_cd = ../lib/$(BUILDNICK)/libcd.a
DLIB_cd = ../lib/$(BUILDNICK)/libcd.dll.a
ILIB_cd = ../lib/$(BUILDNICK)/cd_alien_.dll
OBJS_cd = ../obj/$(BUILDNICK)/cd/cd.o ../obj/$(BUILDNICK)/cd/wd.o ../obj/$(BUILDNICK)/cd/wdhdcpy.o ../obj/$(BUILDNICK)/cd/rgb2map.o ../obj/$(BUILDNICK)/cd/cd_vectortext.o ../obj/$(BUILDNICK)/cd/cd_active.o ../obj/$(BUILDNICK)/cd/cd_attributes.o ../ob...
../obj/$(BUILDNICK)/cd/cd.o : ./cd.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/wd.o : ./wd.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/wdhdcpy.o : ./wdhdcpy.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/rgb2map.o : ./rgb2map.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
patches/Makefile_cd.mingw view on Meta::CPAN
../obj/$(BUILDNICK)/cd/cd_image.o : ./cd_image.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/cd_primitives.o : ./cd_primitives.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/cd_text.o : ./cd_text.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/cd_util.o : ./cd_util.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/base64.o : ./svg/base64.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/lodepng.o : ./svg/lodepng.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/cdsvg.o : ./svg/cdsvg.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/cd_intcgm.o : ./intcgm/cd_intcgm.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/cgm_bin_get.o : ./intcgm/cgm_bin_get.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/cgm_bin_parse.o : ./intcgm/cgm_bin_parse.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
../obj/$(BUILDNICK)/cd/cgm_list.o : ./intcgm/cgm_list.c ; gcc $(CF_ALL) $(CF_cd) $^ -o $@
patches/Makefile_cd.mingw view on Meta::CPAN
CF_cd_pdflib = -c -Wall -O2 -Ipdflib/font -Ipdflib/pdcore -Ipdflib/pdflib -I../../zlib/include $(CF_cd_pdflib_EXTRA)
LF_cd_pdflib = -lzlib1 -lkernel32 -luser32 -lgdi32 -lwinspool -lcomdlg32 -ladvapi32 -lshell32 -luuid -loleaut32 -lole32 -lcomctl32 $(LF_cd_pdflib_EXTRA)
SLIB_cd_pdflib = ../lib/$(BUILDNICK)/libpdflib.a
DLIB_cd_pdflib = ../lib/$(BUILDNICK)/libpdflib.dll.a
ILIB_cd_pdflib = ../lib/$(BUILDNICK)/pdflib_alien_.dll
OBJS_cd_pdflib = ../obj/$(BUILDNICK)/cd_pdflib/pdflib.o ../obj/$(BUILDNICK)/cd_pdflib/p_3d.o ../obj/$(BUILDNICK)/cd_pdflib/p_actions.o ../obj/$(BUILDNICK)/cd_pdflib/p_afm.o ../obj/$(BUILDNICK)/cd_pdflib/p_annots.o ../obj/$(BUILDNICK)/cd_pdflib/p_bloc...
../obj/$(BUILDNICK)/cd_pdflib/pdflib.o : ./pdflib/pdflib/pdflib.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_3d.o : ./pdflib/pdflib/p_3d.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_actions.o : ./pdflib/pdflib/p_actions.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_afm.o : ./pdflib/pdflib/p_afm.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
patches/Makefile_cd.mingw view on Meta::CPAN
../obj/$(BUILDNICK)/cd_pdflib/p_params.o : ./pdflib/pdflib/p_params.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_pattern.o : ./pdflib/pdflib/p_pattern.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_pdi.o : ./pdflib/pdflib/p_pdi.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_pfm.o : ./pdflib/pdflib/p_pfm.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_photoshp.o : ./pdflib/pdflib/p_photoshp.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_png.o : ./pdflib/pdflib/p_png.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_shading.o : ./pdflib/pdflib/p_shading.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_subsett.o : ./pdflib/pdflib/p_subsett.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_table.o : ./pdflib/pdflib/p_table.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_tagged.o : ./pdflib/pdflib/p_tagged.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
../obj/$(BUILDNICK)/cd_pdflib/p_template.o : ./pdflib/pdflib/p_template.c ; gcc $(CF_ALL) $(CF_cd_pdflib) $^ -o $@
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src/judy-1.0.5/configure.ac view on Meta::CPAN
dnl 2) When changing the libJudy ABI, it is also desirable to make libJudy
dnl "parallel installable". This means that it should be possible to
dnl install development headers and libraries for more than one version
dnl of libJudy at once. Failure to do this may cause problems for
dnl Linux distributions which include libJudy. (For example, it's
dnl impossible to switch between libpng2-dev and libpng3-dev on a
dnl Debian system without uninstalling and reinstalling both the Gnome
dnl and KDE SDKs.) For more information, do a Google search for
dnl "parallel installable".
dnl
dnl Right now, this package only provides the mechanisms to handle concern
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libjio/libjio/doxygen/Doxyfile.base.in view on Meta::CPAN
INCLUDED_BY_GRAPH = YES
CALL_GRAPH = YES
CALLER_GRAPH = YES
GRAPHICAL_HIERARCHY = YES
DIRECTORY_GRAPH = YES
DOT_IMAGE_FORMAT = png
DOT_PATH =
DOTFILE_DIRS =
DOT_GRAPH_MAX_NODES = 50
MAX_DOT_GRAPH_DEPTH = 0
DOT_TRANSPARENT = YES
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