Free data provider software for linux

Data::BenchmarkResults is a Perl extension for averaging and comparing multiple benchmark runs.

SYNOPSIS

use Data::BenchmarkResults;
$conditionA_results = new Data::BenchmarkResults;
$conditionB_results = new Data::BenchmarkResults;

#Load test result runs for the first condition
$conditionA_results->add_result_set("test1","run1",@data1);
$conditionA_results->add_result_set("test2","run1",@data2);
$conditionA_results->add_result_set("test1","run2",@data3);
$conditionA_results->add_result_set("test2","run2",@data4);

#Load test result runs for the second condition
$conditionB_results->add_result_set("test1","run1",@data5);
$conditionB_results->add_result_set("test2","run2",@data6);
$conditionB_results->add_result_set("test1","run1",@data7);
$conditionB_results->add_result_set("test2","run2",@data8);

#Average (mean average) the results of all the the runs of test1
# w/o tossing the highest and lowest values (replace the 0 with 1to
# toss the highest and lowest values

my $computed = $conditionA_results->process_result_set("test1","mean",0);
my $computed2 = $conditionB_results->process_result_set("test1","mean",0);

#OR process all of the tests at once (tossing the highest and lowest value) :

$conditionA_results->process_all_result_sets("mean",1);
$conditionB_results->process_all_result_sets("mean",1);


#Print out all of the processed test results
print "Condition A results.... nn"
$conditionA_results->print_calculated_sets;
print "Condition B results.... nn"
$conditionB_results->print_calculated_sets;


#Compare results of test1 of condition B against those with condition A
# as a percentage change from A to B

my $compared = $conditionB_results->compare_result_set($conditionA_results,"test1");

#OR compare all the processed test results from one condition to those of another
my $total_comparison = $conditionB_results->compare_all_result_sets($conditionA_results);

Template::Plugins is a Perl module with plugin provider.

SYNOPSIS

use Template::Plugins;

$plugin_provider = Template::Plugins->new(%options);

($plugin, $error) = $plugin_provider->fetch($name, @args);

The Template::Plugins module defines a provider class which can be used to load and instantiate Template Toolkit plugin modules.

Data::Region Perl module can define hierarchical areas with behaviors.

SYNOPSIS

use Data::Region;

$r = Data::Region->new( 8.5, 11, { data => PageObj->new() } );
$r->data( PageObj->new() );

foreach my $c ( $r->subdivide(2.5,3) ) {
$a = $c->area(0.25,0.25, 2.25,2.75);
$a2 = $c->area(0.25,0.25, -0.25,-0.25); # as offset from lower right

($t,$m,$b) = $a->split_vertical(2,5,1); # sequential heights
($t,$m,$b) = $a->split_vertical_abs(0,2,7); # absolute offsets
($l,$r) = $a->split_horizontal(2); # $l gets width of 2, $r gets the rest

my($x1,$y1,$x2,$y2) = $a->coords();
my $data = $a->data(); # data inherits from parent, if not set
$a->action( sub { $data->setfont("Times-Bold", 10);
$data->text($x1,$y1, "Some Text");
$data->line( $_[0]->coords() ); # the non-closure way
} );
}
$r->render(); # heirarchically perform all the actions

# Get some info about a region:
($w,$h) = ( $a->width(), $a->height() );
($x1,$y1, $x2,$y2) = $a->coords();
($x1,$y1) = $a->top_left();
($x2,$y1) = $a->top_right();
($x1,$y2) = $a->bottom_left();
($x2,$y2) = $a->bottom_right();

Data::Region allows you to easily define a set of nested (2-dimensional) areas, defined by related coordinates, and to associate actions with them. The actions can then be performed hierarchically from any root of the tree.

Data::Region was written to provide an easy way to do simple page layout, but has, perhaps, more general uses.

Direct Access Provider Library in short DAPL is a transport-independent, platform-independent, high-performance API for using the remote direct memory access (RDMA) capabilities of modern interconnect technologies such as InfiniBand, the Virtual Interface Architecture, and iWARP.
This is the reference implementation of that specification by the DAT Collaborative who maintain the DAPL API.
Enhancements:
- Support was added for new IB verbs client register event.
- Some problems supporting create qp without recv cq handle or recv qp resources were fixed.
- Some timeout and long disconnect delay issues exposed during scalability tests were fixed.
- Minor build problems were fixed.
- Support for multiple IB devices was added to dat.conf to support IPoIB HA failover.
- Support for returning local and remote port information was added.
- The RPM spec file was cleaned up.
- Enviroment variables to configure connection management timers were added.

Sunrise Data Dictionary is a library for hashtable storage of arbitrary data objects with built-in reference counting and guaranteed order iteration for the C programming language.
Sunrise Data Dictionary library can participate in external reference counting systems or use its own built-in reference counting. It comes with a variety of hash functions and allows the use of runtime supplied hash functions via callback mechanism. The source code is well documented.
The Sunrise Data Dictionary was specifically designed for use within the Afelio and Callweaver telephony servers, the implementation focuses on performance and scalability.
Enhancements:
- This is the initial release of the full API (all header files) and a developer snapshot of the implementation.

Data::TreeDumper is an improved replacement for Data::Dumper. Powerful filtering capability.

SYNOPSIS

use Data::TreeDumper ;

my $sub = sub {} ;

my $s =
{
A =>
{
a =>
{
}
, bbbbbb => $sub
, c123 => $sub
, d => $sub
}

, C =>
{
b =>
{
a =>
{
a =>
{
}

, b => sub
{
}
, c => 42
}

}
}
, ARRAY => [qw(elment_1 element_2 element_3)]
} ;


#-------------------------------------------------------------------
# package setup data
#-------------------------------------------------------------------

$Data::TreeDumper::Useascii = 0 ;
$Data::TreeDumper::Maxdepth = 2 ;

print DumpTree($s, title) ;
print DumpTree($s, title, MAX_DEPTH => 1) ;
print DumpTrees
(
[$s, "title", MAX_DEPTH => 1]
, [$s2, "other_title", DISPLAY_ADDRESS => 0]
, USE_ASCII => 1
, MAX_DEPTH => 5
) ;

Output:

title:
|- A [H1]
| |- a [H2]
| |- bbbbbb = CODE(0x8139fa0) [C3]
| |- c123 [C4 -> C3]
| `- d [R5]
| `- REF(0x8139fb8) [R5 -> C3]
|- ARRAY [A6]
| |- 0 [S7] = elment_1
| |- 1 [S8] = element_2
| `- 2 [S9] = element_3
`- C [H10]
`- b [H11]
`- a [H12]
|- a [H13]
|- b = CODE(0x81ab130) [C14]
`- c [S15] = 42

Data::Walker is a tool for navigating through Perl data structures.

SYNOPSIS

Without any explicit objects:

use Data::Walker;
Data::Walker->cli( $data_structure );

Object-style invocation:

use Data::Walker;
my $w = new Data::Walker;
$w->walk( $data_structure );
$w->ls("-al");
$w->pwd;
$w->cli;

Importing methods into the current package:

use Data::Walker qw(:direct);
walk $data_structure;
ls "-al";
pwd;
cli;

This module allows you to "walk" an arbitrary Perl data structure in the same way that you can walk a directory tree from a UNIX command line. It reuses familiar unix commands (such as "ls", "cd", "pwd") and applies these to data structures.

It has a command-line interface which behaves like a UNIX shell. You can also use object-style sytax to invoke the CLI commands from outside the CLI. Data::Walker objects are encapsulated, so that you can hop into and out of a CLI without losing state, and you can have several Data::Walker objects pointing at different structures.

The main functions can also be imported and used directly from within the Perl debuggers CLI.