Free data protection act software for linux

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.

Data::PropertyList is a Perl module that can convert arbitrary objects to/from strings.

SYNOPSIS

use Data::PropertyList qw(astext fromtext);

$hash_ref = { items => [ 7 .. 11 ], key => value };
$string = astext($hash_ref);
# ...
$hash_ref = fromtext($string);
print $hash_ref->{items}[0];

$array_ref = [ 1, { key => value }, Omega ];
$string = astext($array_ref);
# ...
$array_ref = fromtext($string, -array=>1 );
print $array_ref->[1]{key};

Data::Propertylist provides functions that turn data structures with nested references into NeXTs Property List text format and back again.

You may find this useful for saving and loading application information in text files, or perhaps for generating error messages while debugging.

astext( $reference ) : $propertylist_string;

Writes out a nested Perl data structure in NeXT property list format.

fromtext( $propertylist_string ) : $hash_ref

fromtext( $propertylist_string, -array=>1 ) : $array_ref

Reconstructs a Perl data structure of nested references and scalars from a NeXT property list. Use the -array flag if the string encodes an array rather than a hash.

Google Data Objective-C Client provides a framework and source code that make it easy to access data through Google Data APIs.
The Google data APIs provide a simple protocol for reading and writing data on the web. Many Google services provide a Google data API.
Each of the following Google services provides a Google data API:
- Base
- Blogger
- Calendar
- Spreadsheets
- Picasa Web Albums
- Notebook
Additional services with Google data APIs that are not yet supported by the Objective-C Client Library:
- Code Search
- Google Apps Provisioning

Data::Encrypted is a Perl module to transparently store encrypted data via RSA.

SYNOPSIS

# functional interface:
use Data::Encrypted file => "./.$0-encrypted-data", qw(encrypted);

# note: login and password are not *really* the login and
# password values, only the desired prompt!
my $login = encrypted(login);
my $password = encrypted(password);

# script continues, connecting to some secure resource (database,
# website, etc).

__END__

# alternative, OO interface:
use Data::Encrypted;

my $enc = new Data::Encrypted file => "./.$0-encrypted-data";
my $login = $enc->encrypted(login);
my $password = $enc->encrypted(password);
$enc->finished(); # close and release lock on storage file

# script continues, connecting to some secure resource (database,
# website, etc).

__END__

[ then, back at the command line: ]

% myscript.pl
Data::Encrypted value for login not found, please enter: *****
Data::Encrypted value for password not found, please enter: ********
[ script merrily continues ... ]

% myscript.pl
[ script merrily continues, no prompting this time ... ]

Often when dealing with external resources (database engines, ftp, telnet, websites, etc), your Perl script must supply a password, or other sensitive data, to the other system. This requires you to either continually prompt the user for the data, or to store the information (in plaintext) within your script. Youd rather not have to remember the connection details to all your different resources, so youd like to store the data somewhere. And if you share your script with anyone (as any good open-source developer would), youd rather not have your password or other sensitive information floating around.

Data::Encrypted attempts to fill this small void with a simple, yet functional solution to this common predicament. It works by prompting you (via Term::ReadPassword) once for each required value, but only does so the first time you run your script; thereafter, the data is stored encrypted in a secondary file. Subsequent executions of your script use the encrypted data directly, if possible; otherwise it again prompts for the data. Currently, Data::Encrypted achieves encryption via an RSA public-key cryptosystem implemented by Crypt::RSA, using (by default) your own SSH1 public and private keys.

Data::ENAML is a Perl extension for ENAML data representation.

SYNOPSIS

use Data::ENAML qw (serialize deserialize);

print serialize(login => {nick => Schop,
email => ariel@atheist.org.il,
tagline => If I had no modem I would not lose Regina});

$struct = deserialize(bad-nick: {nick: "c00l dewd" text: "spaces not allowed"});

ENAML stands for ENAML is Not A Markup Language. (And as we all know, Gnu is Not UNIX, Pine Is Not Email, Wine Is Not Emulator, Lame Aint Mp3 Encoder and so on).

ENAML was defined by Robey Pointer for use in Say2, check http://www.lag.net/say2.

Common Data Format is a self-describing data abstraction for the storage and manipulation of multidimensional data in a platform- and discipline-independent fashion.
It consists of a scientific data management package (known as the "CDF Library") that allows programmers and application developers to manage and manipulate scalar, vector, and multi-dimensional data arrays.
Enhancements:
- Adds new sets of APIs to allow Standard Interface to interact with zVariables and other CDF-related information.
- Adds MingW and FreeBSD ports.
- Adds support for Intel C++ and Fortran for Linux.
- Adds the ability to create legacy CDF 2.7 files.
- Fixes a bug that prevented directories from having .cdf or .skt extensions.

Data::Str2Num - int str to int; float str to float, else undef.

SYNOPSIS

#####
# Subroutine interface
#
use Data::Str2Num qw(config str2float str2int str2integer);

$float = str2float($string, [@options]);
(@strings, @floats) = str2float(@strings, [@options]);

$integer = $secspack->str2int($string);

$integer = str2integer($string, [@options]);
(@strings, @integers) = str2int(@strings, [@options]);


#####
# Class, Object interface
#
# For class interface, use Data::SecsPack instead of $self
#
use Data::Str2Num;

$str2num = Data::Str2Num;
$str2num = new Data::Str2Num;

$float = $secspack->str2float($string, [@options]);
(@strings, @floats) = $secspack->str2float(@strings, [@options]);

$integer = $secspack->str2int($string);

$integer = $secspack->str2integer($string, [@options])
(@strings, @integers) = $secspack->str2int(@strings, [@options]);

Generally, if a subroutine will process a list of options, @options, that subroutine will also process an array reference, @options, [@options], or hash reference, %options, {@options}. If a subroutine will process an array reference, @options, [@options], that subroutine will also process a hash reference, %options, {@options}. See the description for a subroutine for details and exceptions.

Data::Type::Docs is a Perl module with the manual overview.

MANUALS

Data::Type::Docs::FAQ

Frequently asked questions.

Data::Type::Docs::FOP

Frequently occuring problems.

Data::Type::Docs::Howto

Point to point recipes how to get things done.

Data::Type::Docs::RFC

Exact API description. Startpoint for datatype developers.

NAVIGATION

First read the following paragraphs and then you may start study the Data::Type API.