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Math::CDF 0.1
Math::CDF is a Perl module to generate probabilities and quantiles from several statistical probability functions. more>>
Math::CDF is a Perl module to generate probabilities and quantiles from several statistical probability functions.
SYNOPSIS
use Math::CDF;
$prob = &Math::CDF::pnorm(1.96);
if( not defined($z = &Math::CDF::qnorm(0.975)) ) { die "qnorm() failed"; }
or
use Math::CDF qw(:all);
$prob = pnorm(1.96);
This module provides a perl interface to the DCDFLIB. See the section on DCDFLIB for more information.
Functions are available for 7 continuous distributions (Beta, Chi-square, F, Gamma, Normal, Poisson and T-distribution) and for two discrete distributions (Binomial and Negative Binomial). Optional non-centrality parameters are available for the Chi-square, F and T-distributions. Cumulative probabilities are available for all 9 distributions and quantile functions are available for the 7 continuous distributions.
All cumulative probability function names begin with the character "p". They give the probability of being less than or equal to the given value [ P(X<<less
SYNOPSIS
use Math::CDF;
$prob = &Math::CDF::pnorm(1.96);
if( not defined($z = &Math::CDF::qnorm(0.975)) ) { die "qnorm() failed"; }
or
use Math::CDF qw(:all);
$prob = pnorm(1.96);
This module provides a perl interface to the DCDFLIB. See the section on DCDFLIB for more information.
Functions are available for 7 continuous distributions (Beta, Chi-square, F, Gamma, Normal, Poisson and T-distribution) and for two discrete distributions (Binomial and Negative Binomial). Optional non-centrality parameters are available for the Chi-square, F and T-distributions. Cumulative probabilities are available for all 9 distributions and quantile functions are available for the 7 continuous distributions.
All cumulative probability function names begin with the character "p". They give the probability of being less than or equal to the given value [ P(X<<less
Download (0.064MB)
Added: 2007-08-03 License: Perl Artistic License Price:
815 downloads
NetCDF 3.6.2
NetCDF is a format developed at Unidata that was inspired by the CDF format from NASA. more>>
NetCDF is a format developed at Unidata that was inspired by the CDF format from NASA.
NetCDF stands for "Network Common Data Form" and is a self-describing data format, commonly used in scientific and engineering applications.
Main features:
- All features of netCDF 3.6
- Large file support (> 2 GB data files)
- Use of HDF5 for storage
- Backward file-format compatibility
- Backward API compatibility
- Parallel I/O
- Multiple unlimited dimensions
- Additional Data Types
- Hierarchical Grouping of Data
- Bit packing
- Compression and other filters
- Revised documentation
- Examples
- Distribution with both netCDF and HDF5 packages
- (Unicode/ASCII) String data type
- Anonymous dimensions
- Support for compound data types, including nested compound types
- User-defined data type
- Upgrades to ncgen/ncdump/CDL to reflect new features
- NcML support for ncgen/ncdump
- F90 interface
- C++ interface
- Demonstrable performance gains in modeling contexts on advanced architectures
- HDF5 file driver support
Whats New in 4.0 Alpha 11 Development Release:
- Enum type added.
- NetCDF-4 verified support of common data model.
- ncdump support new features and NcML.
- No netCDF-4 artifacts in file.
- Uses HDF5 creation order information.
- NetCDF-4 documentation complete.
Whats New in 3.6.2 Stable Release:
- Support for shared libraries was added.
- Major documentation additions were done.
- Speedups were made on little-endian machines.
- Minor bugs were fixed.
<<lessNetCDF stands for "Network Common Data Form" and is a self-describing data format, commonly used in scientific and engineering applications.
Main features:
- All features of netCDF 3.6
- Large file support (> 2 GB data files)
- Use of HDF5 for storage
- Backward file-format compatibility
- Backward API compatibility
- Parallel I/O
- Multiple unlimited dimensions
- Additional Data Types
- Hierarchical Grouping of Data
- Bit packing
- Compression and other filters
- Revised documentation
- Examples
- Distribution with both netCDF and HDF5 packages
- (Unicode/ASCII) String data type
- Anonymous dimensions
- Support for compound data types, including nested compound types
- User-defined data type
- Upgrades to ncgen/ncdump/CDL to reflect new features
- NcML support for ncgen/ncdump
- F90 interface
- C++ interface
- Demonstrable performance gains in modeling contexts on advanced architectures
- HDF5 file driver support
Whats New in 4.0 Alpha 11 Development Release:
- Enum type added.
- NetCDF-4 verified support of common data model.
- ncdump support new features and NcML.
- No netCDF-4 artifacts in file.
- Uses HDF5 creation order information.
- NetCDF-4 documentation complete.
Whats New in 3.6.2 Stable Release:
- Support for shared libraries was added.
- Major documentation additions were done.
- Speedups were made on little-endian machines.
- Minor bugs were fixed.
Download (3.8MB)
Added: 2007-03-09 License: BSD License Price:
987 downloads
Bio::Affymetrix::CDF 0.5
Bio::Affymetrix::CDF is a Perl module to parse Affymetrix CDF files. more>>
Bio::Affymetrix::CDF is a Perl module to parse Affymetrix CDF files.
SYNOPSIS
use Bio::Affymetrix::CDF;
# Parse the CDF file
my $cdf=new Bio::Affymetrix::CDF({"probemode"=>0});
$cdf->parse_from_file("foo.cdf");
# Find some fun facts about this chip type
print $cdf->rows().",".$cdf->cols()."n";
print $cdf->version()."n";
# Print out all of the probeset names on this chip type
foreach my $i (keys %{$chp->probesets}) { print $chp->probesets->{$i}->name()."n"; }
The Affymetrix microarray system produces files in a variety of formats. If this means nothing to you, these modules are probably not for you :). This module parses CDF files. Use this module if you want to find out about the design of an Affymetrix GeneChip, or you need the object for another one of the modules in this package.
All of the Bio::Affymetrix modules parse a file entirely into memory. You therefore need enough memory to hold these objects. For some applications, parsing as a stream may be more appropriate- hopefully the source to these modules will give enough clues to make this an easy task. This module in particular takes a lot of memory if probe information is also stored (about 150Mb). Memory usage is not too onorous (about 15Mb) if probe level information is omitted. You can.control this by setting probemode=>1 or probemode=>0 in the constructor.
You can also use these modules to write CDF files (using the write_to_filehandle method). See COMPATIBILITY for some important caveats.
<<lessSYNOPSIS
use Bio::Affymetrix::CDF;
# Parse the CDF file
my $cdf=new Bio::Affymetrix::CDF({"probemode"=>0});
$cdf->parse_from_file("foo.cdf");
# Find some fun facts about this chip type
print $cdf->rows().",".$cdf->cols()."n";
print $cdf->version()."n";
# Print out all of the probeset names on this chip type
foreach my $i (keys %{$chp->probesets}) { print $chp->probesets->{$i}->name()."n"; }
The Affymetrix microarray system produces files in a variety of formats. If this means nothing to you, these modules are probably not for you :). This module parses CDF files. Use this module if you want to find out about the design of an Affymetrix GeneChip, or you need the object for another one of the modules in this package.
All of the Bio::Affymetrix modules parse a file entirely into memory. You therefore need enough memory to hold these objects. For some applications, parsing as a stream may be more appropriate- hopefully the source to these modules will give enough clues to make this an easy task. This module in particular takes a lot of memory if probe information is also stored (about 150Mb). Memory usage is not too onorous (about 15Mb) if probe level information is omitted. You can.control this by setting probemode=>1 or probemode=>0 in the constructor.
You can also use these modules to write CDF files (using the write_to_filehandle method). See COMPATIBILITY for some important caveats.
Download (0.063MB)
Added: 2007-03-06 License: Perl Artistic License Price:
963 downloads
Common Data Format 3.1
Common Data Format is a self-describing data abstraction for the storage and manipulation of multidimensional data. more>>
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.
<<lessIt 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.
Download (1.5MB)
Added: 2006-03-13 License: Public Domain Price:
1320 downloads
rawdog 2.9
rawdog is an RSS aggregator without delusions of grandeur. more>>
rawdog is an RSS Aggregator Without Delusions Of Grandeur. Written in Python, it uses Mark Pilgrims feed parser to read RSS 0.9, 1.0, 2.0, CDF and Atom feeds.
rawdog project runs from cron, collects articles from a number of feeds, and generates a static HTML page listing the newest articles in date order. It supports per-feed customizable update times, and uses ETags, Last-Modified, and gzip compression to minimize network bandwidth usage.
rawdogs output format is similar to that of PyDS and Hep.
Enhancements:
- This release handles "A-IM: feed" encoding in a more sensible way.
- Several other small bugs have been fixed.
<<lessrawdog project runs from cron, collects articles from a number of feeds, and generates a static HTML page listing the newest articles in date order. It supports per-feed customizable update times, and uses ETags, Last-Modified, and gzip compression to minimize network bandwidth usage.
rawdogs output format is similar to that of PyDS and Hep.
Enhancements:
- This release handles "A-IM: feed" encoding in a more sensible way.
- Several other small bugs have been fixed.
Download (0.085MB)
Added: 2006-06-15 License: GPL (GNU General Public License) Price:
1226 downloads
OPeNDAP 3.5.1
OPeNDAP is a client/server system for making local data accessible to remote locations... more>>
OPeNDAP is a client/server system for making local data accessible to remote locations without regard to the local or remote storage format, architecture, or environment.
BES is a new, high-performance back-end server software framework that allows data providers more flexibility in providing end users views of their data. The current OPeNDAP data objects (DAS, DDS, and DataDDS) are still supported, but now data providers can add new data views, provide new functionality, and new features to their end users through the BES modular design. Providers can add new data handlers, new data objects/views, the ability to define views with constraints and aggregation, the ability to add reporting mechanisms, initialization hooks, and more.
OPeNDAP provides the tools to build these new modules that can then be dynamically loaded into the BES.
As an example, the CedarWEB project at the University Corporation for Atmospheric Research (UCAR) provides four new data views (info, tab, flat, and stream), authentication, a reporting class to keep track of user data access, MySQL database access of file information (data containers), and more.
OPeNDAP also has available ready to load modules for netcdf, cdf, fits, freeform, hdf4, hdf5 and jgofs. Only a few of these are supported and/or in the current source-only release.
If you are looking for the OPeNDAP 4 Data Server (aka Hyrax) software, the Hyrax page provides a single place where each of the components of Hyrax can be downloaded and also provides information about which versions work together to properly support Hyraxs various features.
Enhancements:
- This version of the BES fixes a problem where some large 32-bit floating point arrays could trigger an early end to data transmission
<<lessBES is a new, high-performance back-end server software framework that allows data providers more flexibility in providing end users views of their data. The current OPeNDAP data objects (DAS, DDS, and DataDDS) are still supported, but now data providers can add new data views, provide new functionality, and new features to their end users through the BES modular design. Providers can add new data handlers, new data objects/views, the ability to define views with constraints and aggregation, the ability to add reporting mechanisms, initialization hooks, and more.
OPeNDAP provides the tools to build these new modules that can then be dynamically loaded into the BES.
As an example, the CedarWEB project at the University Corporation for Atmospheric Research (UCAR) provides four new data views (info, tab, flat, and stream), authentication, a reporting class to keep track of user data access, MySQL database access of file information (data containers), and more.
OPeNDAP also has available ready to load modules for netcdf, cdf, fits, freeform, hdf4, hdf5 and jgofs. Only a few of these are supported and/or in the current source-only release.
If you are looking for the OPeNDAP 4 Data Server (aka Hyrax) software, the Hyrax page provides a single place where each of the components of Hyrax can be downloaded and also provides information about which versions work together to properly support Hyraxs various features.
Enhancements:
- This version of the BES fixes a problem where some large 32-bit floating point arrays could trigger an early end to data transmission
Download (0.88MB)
Added: 2007-06-06 License: LGPL (GNU Lesser General Public License) Price:
870 downloads
bandwidthd 2.0.1
bandwidthd tracks usage of TCP/IP network subnets and builds HTML files with graphs to display network utilization. more>>
bandwidthd tracks usage of TCP/IP network subnets and builds HTML files with graphs to display network utilization. Charts are built by individual IP to show their utilization over 2, 8, 45, and 400 day periods. It color codes HTTP, HTTPS, TCP, UDP, ICMP, VPN, and P2P traffic.
BandwidthD runs on most platforms including windows. For unix nex libraries are only required: libpcap, libgl and libpng.
Most of the info youre looking for is on the SourceForge project page. At SourceForge we keep all new releases, the bug tracker and the support forums.
Bandwidthd now produces output in 2 ways. The first is as a standalone application that produces static html and png output every 200 seconds. The second is as a sensor that transmits its data to a backend database which is then reported on by dynamic php pages. The visual output of both is simular, but the database driven system allows for searching, filtering, multiple sensors and custom reports.
Enhancements:
- Big Feature - Added optional postgresql database logging mode and php for dynamic graph creation from databases. Great for big sites, multiple sensors with very low overhead collect traffic statistics and log them to database. Graphs are created when a user visits the page instead of burning CPU cycles night and day. Logging/Multiple sensor support is completed.
- Big Feature - Implemented auto conf
- Ported to and compiles on:
- ix86 Fedora Core 2
- ix86 Solaris 9
- ix86 OpenBSD 3.4
- ix86 Debian 2.2
- ix86 FreeBSD 4.8
- AMD64 Fedora Core 3
- PPC MaxOsX 10.2
- ix86 Microsoft Windows
- Changed default interval to 200 seconds to save ram and cpu power
- Huge performance gain in graphing engine due to bug fix (Peak Send and Total Sent strings font operations were being done to each graphic almost 1000 times instead of just 1)
- Removed need of Sys V IPC shared memeory
- log rotation on all logs implemented - secondary logs rotate every RANGE?/RANGE1 HUPs
- Added syslog support, removed all printfs except a few early errors, closed stdin, stdout, and stderr before beginning capture loop
- Bandwidthd collects the pids of its children and distributes HUP and TERM signals when issued to the first process
- Changed yy parser name to bdconfig_ to avoid a bug in BSD
- Added some semi-colons to conf.y to fix BSD flex/bison compatability bug
- Fixed bug that caused memory corruption when ram datastore had data on more than IP_NUM ips.
- Fixed some longs that missed being converted to unsigned long long.
- Fixed bug in CDF recovery that would cause bandwidthd to ignore some CDF logs during recovery
- Bandwidthd now checks for ./etc/bandwidthd.conf, and if it doesnt exist it checks for
- /usr/local/bandwidthd/etc/bandwidthd.conf, if that exists it will htdir("/usr/local/bandwidthd")
- Fixed problem that caused bandwidthd to sit and never create graphs if graph is set to false do not store data in ram, do not fork unless output_cdf is true log names changed to be consistent so all logs could be rotated with same function
<<lessBandwidthD runs on most platforms including windows. For unix nex libraries are only required: libpcap, libgl and libpng.
Most of the info youre looking for is on the SourceForge project page. At SourceForge we keep all new releases, the bug tracker and the support forums.
Bandwidthd now produces output in 2 ways. The first is as a standalone application that produces static html and png output every 200 seconds. The second is as a sensor that transmits its data to a backend database which is then reported on by dynamic php pages. The visual output of both is simular, but the database driven system allows for searching, filtering, multiple sensors and custom reports.
Enhancements:
- Big Feature - Added optional postgresql database logging mode and php for dynamic graph creation from databases. Great for big sites, multiple sensors with very low overhead collect traffic statistics and log them to database. Graphs are created when a user visits the page instead of burning CPU cycles night and day. Logging/Multiple sensor support is completed.
- Big Feature - Implemented auto conf
- Ported to and compiles on:
- ix86 Fedora Core 2
- ix86 Solaris 9
- ix86 OpenBSD 3.4
- ix86 Debian 2.2
- ix86 FreeBSD 4.8
- AMD64 Fedora Core 3
- PPC MaxOsX 10.2
- ix86 Microsoft Windows
- Changed default interval to 200 seconds to save ram and cpu power
- Huge performance gain in graphing engine due to bug fix (Peak Send and Total Sent strings font operations were being done to each graphic almost 1000 times instead of just 1)
- Removed need of Sys V IPC shared memeory
- log rotation on all logs implemented - secondary logs rotate every RANGE?/RANGE1 HUPs
- Added syslog support, removed all printfs except a few early errors, closed stdin, stdout, and stderr before beginning capture loop
- Bandwidthd collects the pids of its children and distributes HUP and TERM signals when issued to the first process
- Changed yy parser name to bdconfig_ to avoid a bug in BSD
- Added some semi-colons to conf.y to fix BSD flex/bison compatability bug
- Fixed bug that caused memory corruption when ram datastore had data on more than IP_NUM ips.
- Fixed some longs that missed being converted to unsigned long long.
- Fixed bug in CDF recovery that would cause bandwidthd to ignore some CDF logs during recovery
- Bandwidthd now checks for ./etc/bandwidthd.conf, and if it doesnt exist it checks for
- /usr/local/bandwidthd/etc/bandwidthd.conf, if that exists it will htdir("/usr/local/bandwidthd")
- Fixed problem that caused bandwidthd to sit and never create graphs if graph is set to false do not store data in ram, do not fork unless output_cdf is true log names changed to be consistent so all logs could be rotated with same function
Download (0.049MB)
Added: 2006-06-29 License: GPL (GNU General Public License) Price:
1216 downloads
Liferea 1.2.21 / 1.4 RC1
Liferea (Linux Feed Reader) is a fast, easy to use, and easy to install GNOME news aggregator for online news feeds. more>>
Liferea is a news aggregator for online news feeds. There are many other news readers available, but these others are not available for Linux or require many extra libraries to be installed.
Liferea tries to fill this gap by creating a fast, easy to use, easy to install news aggregator for GTK/GNOME.
Main features:
- RSS/RDF, CDF, Atom, OCS, OPML.
- Filters to scrape websites or postprocess feeds.
- Supports Enclosures (Podcasting).
- Bandwidth saving by supporting feed specified update intervals, HTTP compression and etags.
<<lessLiferea tries to fill this gap by creating a fast, easy to use, easy to install news aggregator for GTK/GNOME.
Main features:
- RSS/RDF, CDF, Atom, OCS, OPML.
- Filters to scrape websites or postprocess feeds.
- Supports Enclosures (Podcasting).
- Bandwidth saving by supporting feed specified update intervals, HTTP compression and etags.
Download (1.3MB)
Added: 2007-08-09 License: GPL (GNU General Public License) Price:
806 downloads
Single Marker Association 2.0
Single Marker Association is a simple tool that calculates the single marker association between individual SNP markers. more>>
Single Marker Association is a simple tool that calculates the single marker association between individual SNP markers and a case/control dichotomy.
Usage:
The tool reads two files as input, the first is a set of case and the second a case of control haplotypes. The format of the files is one line per haplotype, where the SNP data is represented as 0 or 1, separated by white-space.
- The tool outputs a list of statistics for each marker
- The marker number (from left to right in the input data)
- The frequency of the 0 allele for the cases file
- The chi-square contingency table statistics for the marker
- The CDF of the chi-square statistics
- The p-value of the statistics (1-CDF)
Installation:
The SMA tool is written in C++. It should compile on any Unix like system. To install, download the source code and unpack it (tar xzf sma-v.tar.gz, where v is the version number of sma), then run make in the subdirectory sma-v created during unpacking.
Enhancements:
- Support for (unphased) genotype data.
<<lessUsage:
The tool reads two files as input, the first is a set of case and the second a case of control haplotypes. The format of the files is one line per haplotype, where the SNP data is represented as 0 or 1, separated by white-space.
- The tool outputs a list of statistics for each marker
- The marker number (from left to right in the input data)
- The frequency of the 0 allele for the cases file
- The chi-square contingency table statistics for the marker
- The CDF of the chi-square statistics
- The p-value of the statistics (1-CDF)
Installation:
The SMA tool is written in C++. It should compile on any Unix like system. To install, download the source code and unpack it (tar xzf sma-v.tar.gz, where v is the version number of sma), then run make in the subdirectory sma-v created during unpacking.
Enhancements:
- Support for (unphased) genotype data.
Download (0.008MB)
Added: 2006-01-19 License: GPL (GNU General Public License) Price:
1373 downloads
Kst 1.3.1
Kst is a real-time data viewing and plotting tool with basic data analysis functionality. more>>
Kst is a real-time data viewing and plotting tool with basic data analysis functionality. Kst project contains many powerful built-in features and is expandable with plugins and extensions. Kst is a KDE application.
Main features:
- Real-time display and manipulation of streaming data
- Quick zooming and scrolling via mouse and keyboard
- Extensible via plugins
- Built-in high-speed equation interpreter
- Multiple tabs or windows
- Graphical plot layout manager
- Drag and drop
- Cut and paste
- Native power spectrum algorithm and histograms
- Support for the most popular data formats including:
- ASCII, dirfile, CDF, netCDF, piolib, FITS
- Plugin design allows additional formats
- Time input
- Built-in ELOG functionality
- Command-line and RPC control mechanisms
- Printing, including to images, postscript, and PDF
Enhancements:
- Numerous deadlock and crash fixes.
<<lessMain features:
- Real-time display and manipulation of streaming data
- Quick zooming and scrolling via mouse and keyboard
- Extensible via plugins
- Built-in high-speed equation interpreter
- Multiple tabs or windows
- Graphical plot layout manager
- Drag and drop
- Cut and paste
- Native power spectrum algorithm and histograms
- Support for the most popular data formats including:
- ASCII, dirfile, CDF, netCDF, piolib, FITS
- Plugin design allows additional formats
- Time input
- Built-in ELOG functionality
- Command-line and RPC control mechanisms
- Printing, including to images, postscript, and PDF
Enhancements:
- Numerous deadlock and crash fixes.
Download (MB)
Added: 2006-10-20 License: GPL (GNU General Public License) Price:
1106 downloads
XML::TMX::Writer 0.16
XML::TMX::Writer is a Perl extension for writing TMX files. more>>
XML::TMX::Writer is a Perl extension for writing TMX files.
SYNOPSIS
use XML::TMX::Writer;
my $tmx = new XML::TMX::Writer();
$tmx->start_tmx(ID => paulojjs);
$tmx->add_tu(SRCLANG => en, en => some text, pt => algum texto);
$tmx->add_tu(SRCLANG => en,
en => some text,
pt => algum texto,
-note => [32, 34 ],
-prop => { q => 23,
aut => "jj"}
);
$tmx->end_tmx();
This module provides a simple way for writing TMX files.
METHODS
The following methods are available:
new
$tmx = new XML::TMX::Writer();
Creates a new XML::TMX::Writer object
start_tmx
$tmx->start_tmx(OUTPUT => some_file.tmx);
Begins a TMX file. Several options are available:
OUTPUT
Output of the TMX, if none is defined stdout is used by default.
TOOL
Tool used to create the TMX. Defaults to XML::TMX::Writer
TOOLVERSION
Some version identification of the tool used to create the TMX. Defaults to the current module version
SEGTYPE
Segment type used in the < tu > elements. Possible values are block, paragraph, sentence and phrase. Defaults to sentence.
SRCTMF
Specifies the format of the translation memory file from which the TMX document or segment thereof have been generated.
ADMINLANG
Specifies the default language for the administrative and informative elements < note > and < prop >.
SRCLANG
Specifies the language of the source text. If a element does not have a srclang attribute specified, it uses the one defined in the element. Defaults to *all*.
DATATYPE
Specifies the type of data contained in the element. Depending on that type, you may apply different processes to the data.
The recommended values for the datatype attribute are as follow (this list is not exhaustive):
unknown
undefined
alptext
WinJoust data
cdf
Channel Definition Format
cmx
Corel CMX Format
cpp
C and C++ style text
hptag
HP-Tag
html
HTML, DHTML, etc
interleaf
Interleaf documents
ipf
IPF/BookMaster
java
Java, source and property files
javascript
JavaScript, ECMAScript scripts
lisp
Lisp
mif
Framemaker MIF, MML, etc
opentag
OpenTag data
pascal
Pascal, Delphi style text
plaintext
Plain text (default)
pm
PageMaker
rtf
Rich Text Format =item sgml
SGML
stf-f
S-Tagger for FrameMaker
stf-i
S-Tagger for Interleaf
transit
Transit data
vbscript
Visual Basic scripts
winres
Windows resources from RC, DLL, EXE
xml
XML
xptag
Quark XPressTag
SRCENCODING
All TMX documents are in Unicode. However, it is sometimes useful to know what code set was used to encode text that was converted to Unicode for purposes of interchange. This option specifies the original or preferred code set of the data of the element in case it is to be re-encoded in a non-Unicode code set. Defaults to none.
ID
Specifies the identifier of the user who created the element. Defaults to none.
<<lessSYNOPSIS
use XML::TMX::Writer;
my $tmx = new XML::TMX::Writer();
$tmx->start_tmx(ID => paulojjs);
$tmx->add_tu(SRCLANG => en, en => some text, pt => algum texto);
$tmx->add_tu(SRCLANG => en,
en => some text,
pt => algum texto,
-note => [32, 34 ],
-prop => { q => 23,
aut => "jj"}
);
$tmx->end_tmx();
This module provides a simple way for writing TMX files.
METHODS
The following methods are available:
new
$tmx = new XML::TMX::Writer();
Creates a new XML::TMX::Writer object
start_tmx
$tmx->start_tmx(OUTPUT => some_file.tmx);
Begins a TMX file. Several options are available:
OUTPUT
Output of the TMX, if none is defined stdout is used by default.
TOOL
Tool used to create the TMX. Defaults to XML::TMX::Writer
TOOLVERSION
Some version identification of the tool used to create the TMX. Defaults to the current module version
SEGTYPE
Segment type used in the < tu > elements. Possible values are block, paragraph, sentence and phrase. Defaults to sentence.
SRCTMF
Specifies the format of the translation memory file from which the TMX document or segment thereof have been generated.
ADMINLANG
Specifies the default language for the administrative and informative elements < note > and < prop >.
SRCLANG
Specifies the language of the source text. If a element does not have a srclang attribute specified, it uses the one defined in the element. Defaults to *all*.
DATATYPE
Specifies the type of data contained in the element. Depending on that type, you may apply different processes to the data.
The recommended values for the datatype attribute are as follow (this list is not exhaustive):
unknown
undefined
alptext
WinJoust data
cdf
Channel Definition Format
cmx
Corel CMX Format
cpp
C and C++ style text
hptag
HP-Tag
html
HTML, DHTML, etc
interleaf
Interleaf documents
ipf
IPF/BookMaster
java
Java, source and property files
javascript
JavaScript, ECMAScript scripts
lisp
Lisp
mif
Framemaker MIF, MML, etc
opentag
OpenTag data
pascal
Pascal, Delphi style text
plaintext
Plain text (default)
pm
PageMaker
rtf
Rich Text Format =item sgml
SGML
stf-f
S-Tagger for FrameMaker
stf-i
S-Tagger for Interleaf
transit
Transit data
vbscript
Visual Basic scripts
winres
Windows resources from RC, DLL, EXE
xml
XML
xptag
Quark XPressTag
SRCENCODING
All TMX documents are in Unicode. However, it is sometimes useful to know what code set was used to encode text that was converted to Unicode for purposes of interchange. This option specifies the original or preferred code set of the data of the element in case it is to be re-encoded in a non-Unicode code set. Defaults to none.
ID
Specifies the identifier of the user who created the element. Defaults to none.
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