Free data provider could not be initialized software for linux

Template::Provider::OpenOffice is a OpenOffice (ODT) Provider for Template Toolkit.

This module extends Template::Provider to automatically extract the content.xml file from an OpenOffice zip file and run it through Template::Toolkit for processing.

We use OpenOffice::OODoc to actually open the document and extract the content.xml file. This gives us the benefit of having the methods available to add/subtract files in addition to parsing and processing the content file if we want to do some custom work in addition to templating.

Firebird .NET Data Provider is an ADO.NET data provider for Firebird. Firebird .NET Data Provider is written in C# and provides a high-performance native implementation of the Firebird API. It also includes an implementation of the Firebird Services API and Firebird array datatype support.

Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names since 1981.

Firebird is a commercially independent project of C and C++ programmers, technical advisors and supporters developing and enhancing a multi-platform relational database management system based on the source code released by Inprise Corp (now known as Borland Software Corp) on 25 July, 2000 under the InterBase Public License v.1.0

DOG Data Organizer provides a bookmark organizer for various bookmark types.

DOG is a personal knowledge manager based on topic maps. It currently specializes in managing bookmarks.

It imports and exports Netscape, Mozilla, and KDE2 (XBEL) bookmark files, and it imports KDE1 bookmarks and Windows IE Favorites.

Data::Serializer::XML::Simple is a Perl module that creates bridge between Data::Serializer and XML::Simple.

SYNOPSIS

use Data::Serializer::XML::Simple;

Module is used internally to Data::Serializer

The only option currently supported is dtd. This just calls the dtd method of XML::Simple prior to serializing the data. See XML::Simple(3) for details.

Beep Media Player RSS feed provider is a tool for generating RSS feeds of songs played by BMP.

bmp-rss-feeder is a plugin for the Beep Media Player that makes it possible to publish an RSS feed containing the names of recently played songs.

The feed can be published both locally and on the Internet.

Scalar::Properties is a Perl module package that contains run-time properties on scalar variables.

SYNOPSIS

use Scalar::Properties;
my $val = 0->true;
if ($val && $val == 0) {
print "yup, its true alright...n";
}

my @text = (
hello world->greeting(1),
forget it,
hi there->greeting(1),
);
print grep { $_->is_greeting } @text;

my $l = hello world->length;

Scalar::Properties attempts to make Perl more object-oriented by taking an idea from Ruby: Everything you manipulate is an object, and the results of those manipulations are objects themselves.

hello world->length
(-1234)->abs
"oh my god, its full of properties"->index(g)

The first example asks a string to calculate its length. The second example asks a number to calculate its absolute value. And the third example asks a string to find the index of the letter g.

Using this module you can have run-time properties on initialized scalar variables and literal values. The word properties is used in the Perl 6 sense: out-of-band data, little sticky notes that are attached to the value. While attributes (as in Perl 5s attribute pragma, and see the Attribute::* family of modules) are handled at compile-time, properties are handled at run-time.
Internally properties are implemented by making their values into objects with overloaded operators. The actual properties are then simply hash entries.
Most properties are simply notes you attach to the value, but some may have deeper meaning. For example, the true and false properties plays a role in boolean context, as the first example of the Synopsis shows.

Properties can also be propagated between values. For details, see the EXPORTS section below. Here is an example why this might be desirable:

pass_on(approximate);
my $pi = 3->approximate(1);
my $circ = 2 * $rad * $pi;

# now $circ->approximate indicates that this value was derived
# from approximate values

Please dont use properties whose name start with an underscore; these are reserved for internal use.

You can set and query properties like this:

$var->myprop(1)

sets the property to a true value.

$var->myprop(0)

sets the property to a false value. Note that this doesnt delete the property (to do so, use the del_props method described below).

$var->is_myprop, $var->has_myprop

returns a true value if the property is set (i.e., defined and has a true value). The two alternate interfaces are provided to make querying attributes sound more natural. For example:

$foo->is_approximate;
$bar->has_history;

Data::Generate allows you to create various types of synthetic data by parsing "regex-like" data creation rules.

This module generates data by parsing given text statements (data creation rules). These statements are flexible and powerful regex-like way to control the production of synthetic data. Think about a program that instead of selecting data which matches a regex filter expression, produces it. For example, from the rule [a-c], the generator would produce the array a,b,c. The module works as following:

Specify data creation rules.
my $generator= Data::Generate::parse(VC(24) [0-9][2-3]);
At this step first you define one kind of output datatype (for ex. VC(24)= "output is a string with max length 24") and then with the rest of the expression define what it should look like. If parsing is successful a Data Generator object is instantiated.

Get data
my $Data= $generator->get_unique_data(10);
To really get the data, users must call the get_unique_data method by indicating the desired number of output values. The generator returns the values contained in an array reference. Please remark that output format is fixed according to the data type.

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