This is Info file pm.info, produced by Makeinfo version 1.68 from the
input file bigpm.texi.


File: pm.info,  Node: PDL/Doc/Perldl,  Next: PDL/Exporter,  Prev: PDL/Doc,  Up: Module List

commands for accessing PDL doc database from 'perldl' shell
***********************************************************

NAME
====

   PDL::Doc::Perldl - commands for accessing PDL doc database from
'perldl' shell

DESCRIPTION
===========

   This module provides a simple set of functions to access the PDL
documentation of database, for use from the *perldl* shell and the
*pdldoc* command-line program.

   Currently, multiple matches are not handled very well.

SYNOPSIS
========

     use PDL::Doc::Perldl; # Load all documenation functions

FUNCTIONS
=========

apropos
-------

   To find all the manuals that come with PDL, try

     apropos 'manual:'

   and to get quick info about PDL modules say

     apropos 'module:'

   You get more detailed info about a PDL function/module/manual with the
help function

usage
-----

     inner           inner prodcuct over one dimension
                     (Module PDL::Primitive)

     Signature: inner(a(n); b(n); [o]c(); )

sig
---

   The signature is the normal dimensionality of the functions arguments.
Calling with different dimensions causes 'threading' - see PDL::PP for
more details.

help
----

   In the case of multiple matches, the first command found is printed out,
and the remaining commands listed, along with the names of their modules.

badinfo
-------

   And has a horrible name.


File: pm.info,  Node: PDL/Exporter,  Next: PDL/FAQ,  Prev: PDL/Doc/Perldl,  Up: Module List

PDL export control
******************

NAME
====

   PDL::Exporter - PDL export control

DESCRIPTION
===========

   Implements the standard conventions for import of PDL modules in to the
namespace

   Hopefully will be extended to allow fine control of which namespace is
used.

SYNOPSIS
========

   use PDL::Exporter;

     use PDL::MyModule;       # Import default function list ':Func'
     use PDL::MyModule '';    # Import nothing (OO)
     use PDL::MyModule '...'; # Same as Exporter

AUTHOR
======

   Copyright (C) Karl Glazebrook (kgb@aaoepp.aao.gov.au).  All rights
reserved. There is no warranty. You are allowed to redistribute this
software / documentation under certain conditions. For details, see the
file COPYING in the PDL distribution. If this file is separated from the
PDL distribution, the copyright notice should be included in the file.


File: pm.info,  Node: PDL/FAQ,  Next: PDL/FFT,  Prev: PDL/Exporter,  Up: Module List

Frequently asked questions about PDL
************************************

NAME
====

   PDL::FAQ - Frequently asked questions about PDL

VERSION
=======

   Current FAQ version:  0.6

DESCRIPTION
===========

   This is version  0.6 of the PDL FAQ, a collection of  frequently asked
questions about PDL - the Perl Data Language.

ABOUT THIS DOCUMENT
===================

Q: 1.1    Where to find this document
-------------------------------------

   You can find the latest version of this document at
http://pdl.perl.org/faq.html .  This FAQ will be monthly posted to the PDL
mailing list perldl@jach.hawaii.edu .

Q: 1.2    How to contribute to this document
--------------------------------------------

   This is a considerably reworked version of the PDL FAQ. As such many
errors might have crept in and many updates might not have made it in.
You are explicitly encouraged to let us know about questions which you
think should be answered in this document but currently aren't. Similarly,
if you think parts of this document are unclear, please tell the FAQ
maintainer about it. Where a specific answer is taken in full from
someone's posting the authorship should be indicated, let the FAQ
maintainer know if it isn't. For more general information explicit
acknowledgement is not made in the text, but rather there is an incomplete
list of contributors at the end of this docuement. Please contact the FAQ
maintainer if you feel hard done by.

   Send your comments, additions, suggestions or corrections to the PDL
mailing list at perldl@jach.hawaii.edu or to the FAQ maintainer Jarle
Brinchmann ( jarle@astro.ox.ac.uk ). See below for instructions on how to
join the mailing lists.

GENERAL QUESTIONS
=================

Q: 2.1    What is PDL ?
-----------------------

   PDL stands for * Perl Data  Language* . To say it with the words of
Karl Glazebrook, initiator of the PDL project:

     The PDL concept is to give standard perl5 the ability
        	to COMPACTLY store and SPEEDILY manipulate the large
        	N-dimensional data sets which are the bread and butter
        	of scientific computing. e.g. $a=$b+$c can add two
        	2048x2048 images in only a fraction of a second.

   It is hoped to eventually provide tons of useful functionality for
scientific and numeric analysis.

   For readers familiar with other scientific data evaluation packages it
may be helpful to add that PDL is in many respects similar to IDL, MATLAB
and similar packages. However, it tries to improve on a number of issues
which were perceived (by the authors of PDL) as shortcomings of those
existing packages.

Q: 2.2    Who supports PDL? Who develops it?
--------------------------------------------

   PDL is supported by its users. General informal support for PDL is
provided through the PDL mailing list ( perldl@jach.hawaii.edu , see
below).

   As a Perl extension (see below) it is devoted to the idea of free and
open development put forth by the Perl community. PDL was and is being
actively developed by a loosely knit group of people around the world who
coordinate their activities through the PDL development mailing list (
pdl-porters@jach.hawaii.edu , see below). If you would like to join in the
ongoing efforts to improve PDL please join this list.

Q: 2.3    Why yet another Data Language ?
-----------------------------------------

   There are actually several reasons and everyone should decide for
himself which are the most important ones:

   * PDL is " free software " . The authors of PDL think that this concept
     has several advantages: everyone has access to the sources - > better
     debugging, easily adaptable to your own needs, extensible for your
     purposes, etc... In comparison with commercial packages such as Matlab
     and IDL this is of considerable importance for workers who want to do
     some work at home and cannot afford the considerable cost to buy
     commercial packages for personal use.

   * PDL is based on a powerful and well designed scripting language:
     Perl. In contrast to other scientific/numeric data analysis languages
     it has been designed using the language features of a proven language
     instead of having grown into existence from scratch defining the
     control structures while features were added during development
     (leading to languages that often appear clumsy and badly planned for
     most existing packages with similar scope as PDL).

   * Using Perl as the basis a PDL programmer has all the powerful
     features of Perl at his hand, right from the start. This includes
     regular expressions, associative arrays (hashes), well designed
     interfaces to the operating system, network, etc. Experience has
     shown that even in mainly numerically oriented programming it is
     often extremely handy if you have easy access to powerful
     semi-numerical or completely non-numerical functionality as well. For
     example, you might want to offer the results of a complicated
     computation as a server process to other processes on the network,
     perhaps directly accepting input from other processes on the network.
     Using Perl and existing Perl extension packages things like this are
     no problem at all (and it all will fit into your " PDL script " ).

   * Extremely easy extensibility and interoperability as PDL is a Perl
     extension; development support for Perl extensions is an integral
     part of Perl and there are already numerous extensions to standard
     Perl freely available on the network.

   * Integral language features of Perl (regular expressions, hashes,
     object modules) immensely facilitated development and implementation
     of key concepts of PDL. One of the most striking examples for this
     point is probably PDL::PP (see below), a code
     generator/parser/pre-processor that generates PDL functions from
     concise descriptions.

   * None of the existing DLs follow the Perl language rules, which the
     authors firmly believe in:

        * TIMTOWTDI: There is more than one way to do it.  Minimalist
          languages are interesting for computer scientists, but for
          users, a little bit of redundancy makes things wildly easier to
          cope with and allows individual programming styles - just as
          people speak in different ways. For many people this will
          undoubtedly be a reason to avoid PDL ;)

        * Simple things are simple, complicated things possible: Things
          that are often done should be easy to do in the language,
          whereas seldom done things shouldn't be too cumbersome.

     All existing languages violate at least one of these rules.

   * As a project for the future PDL should be able to use super computer
     features, e.g. vector capabilities/parallel processing. This will
     probably be achieved by having PDL::PP (, see below) generate
     appropriate code on such architectures to exploit these features.

   * [ fill in your personal 111 favourite reasons here...]

Q: 2.4    What is PDL good for ?
--------------------------------

   Just in case you do not yet know what the main features of PDL are and
what one could do with them, here is a (necessarily selective) list of key
features:

   PDL is well suited for matrix computations, general handling of
multidimensional data, image processing, general scientific computation,
numerical applications. It supports I/O for many popular image and data
formats, 1D (line plots), 2D (images) and 3D (volume visualisation,
surface plots via OpenGL - for instance impelmented using Mesa), graphics
display capabilities and implements lots of numerical and semi-numerical
algorithms.

   Through the powerful pre-processor it is also easy to interface Perl to
your favourite C routines, more of that further below.

Q: 2.5    What is the connection between PDL and Perl ?
-------------------------------------------------------

   PDL is a Perl5 extension package. As such it needs an existing Perl5
installation (see below) to run. Furthermore, much of PDL is written in
perl (+ some core functionality that is written in C). PDL programs are
(syntactically) just perl scripts that happen to use some of the
functionality implemented by the package " PDL " ;

Q: 2.6    What do I need to run PDL on my machine ?
---------------------------------------------------

   Since PDL is just a Perl package you need first of all an installation
of Perl on your machine. As of this writing PDL requires version 5.004 of
Perl, version 5.004_4 or higher is * strongly* recommended. More
information on where and how to get a Perl installation can be found at
the Perl home page http://www.perl.com and at many CPAN sites (if you do
not know what * CPAN* is check the answer to the next question).

   To build PDL you also need a working C compiler and support for Xsubs
the package Extutils::MakeMaker.  See also http://pdl.perl.org/ports.html
for a list of machines where PDL has been tested. If you don't have a
compiler there might be a binary distribution availabe, see "Binary
distributions" below.

   If you can (or cannot) get PDL working on a new (previously
unsupported) platform we would like to hear about it. Please, report your
success/failure to the PDL mailing list at perldl@jach.hawaii.edu . We
will do our best to assist you in porting PDL to a new system.

Q: 2.7    Where do I get it?
----------------------------

   PDL is available as source distribution in the * Comprehensive Perl
Archive Network* , or CPAN.  This archive contains not only the PDL
distribution but also just about everything else that is Perl-related.
CPAN is mirrored by dozens of sites all over the world. The main site is
ftp://ftp.funet.fi . You can find a more local CPAN site by getting the
file /pub/languages/perl/CPAN/MIRRORS from ftp://ftp.funet.fi .
Alternatively, you can point your Web browser at http://www.perl.com and
use its CPAN multiplex service. Within CPAN you find the latest released
version of PDL in the directory CPAN/modules/by-module/PDL/. Another site
that has the latest PDL distribution is http://pdl.perl.org . Thanks to
the efforts of Frossie ( frossie@jach.hawaii.edu ) there is now a mirror
site in the US at http://www.jach.hawaii.edu/~frossie/pdl-mirror/

Q: 2.8    What do I have to pay to get PDL?
-------------------------------------------

   We are delighted to be able to give you the nicest possible answer on a
question like this: PDL is *free software* and all sources are publicly
available. But still, there are some copyrights to comply with. So please,
try to be as nice as we (the PDL authors) are and try to comply with them.

   Oh, before you think it is *completely* free: you have to invest some
time to pull the distribution from the net, compile and install it and
(maybe) read the manuals.

GETTING HELP/MORE INFORMATION
=============================

Q: 3.1    Where can I get information on PDL?
---------------------------------------------

   The complete PDL documentation is available with the PDL distribution.
If you have PDL installed on your machine and are on a unix like system
then you can read the PDL manuals with the ` man' command.  ` man
PDL::Intro' will lead the way to other PDL manual pages.  In any case
(i.e. also on non-unixes) ` perldoc PDL::Intro' should work.

   The easiest way by far, however, to get familiar with PDL is to use the
PDL online help facility from within the ` perldl' shell. Just type `
perldl' at your system prompt. Once you are inside the ` perldl' shell type
` help' .  Using the ` help' and ` apropos' commands inside the shell you
should be able to find the way round the documentation. Even better, you
can immediately try your newly acquired knowledge about PDL by issuing
PDL/perl commands directly at the command line. To illustrate this
process, here is the record of a typical perldl session of a PDL beginner
(lengthy output is only symbolically reproduced in braces ( < ... ...  >
)):

     unix> perldl
        	perldl> help
        	<.... help output ....>
        	perldl> help PDL::Impatient
        	<.... man page ....>
        	perldl> $a = pdl (1,5,7.3,1.0)
        	perldl> $b = sequence float, 4, 4
        	perldl> help inner
        	<.... help on the 'inner' function ....>
        	perldl> $c = inner $a, $b
        	perldl> p $c
        	[22.6 79.8 137 194.2]

   For further sources of information that are accessible through the
internet see next question.

Q: 3.2    Are there other PDL information sources on the internet?
------------------------------------------------------------------

   First of all, for all purely Perl-related questions there are tons of
sources on the net. A good point to start is http://www.perl.com .

   The PDL home site can be accessed by pointing your web browser to
http://pdl.perl.org . It has tons of goodies for anyone interested in PDL:

   * PDL distributions

   * Online documentation

   * Pointers to an HTML archive of the PDL mailing lists

   * A list of platforms on which PDL has been successfully tested.

   * News about recently added features, ported libraries, etc.

   * Name of the current pumpkin holders for the different PDL modules (if
     you want to know what that means you better had a look at the web
     pages).

   Thanks to the efforts of Frossie ( frossie@jach.hawaii.edu ) there is
now a mirror site in the US at
http://www.jach.hawaii.edu/~frossie/pdl-mirror/ If you are interested in
PDL in general you can join the PDL mailing list perldl@jach.hawaii.edu .
This is a forum to discuss programming issues in PDL, report bugs, seek
assistance with PDL related problems, etc. To subscribe, send a message to
perldl-request@jach.hawaii.edu containing a string in the following format:

     subscribe me@my.email.address

   where you should replace the string * me@my.email.address* with your
email address. Past messages can be retrieved in digest format by
anonymous ftp from ftp://ftp.jach.hawaii.edu/pub/ukirt/frossie/pdlp/ .  A
searchable archive and a hypertext version of the traffic on this list can
be found at http://www.xray.mpe.mpg.de/mailing-lists/perldl/ .

   If you are interested in all the technical details of the ongoing PDL
development you can join the PDL developers mailing list
pdl-porters@jach.hawaii.edu . To subscribe, send a message to
pdl-porters-request@jach.hawaii.edu containing a string in the following
format:

     subscribe me@my.email.address

   where you should replace the string * me@my.email.address* with your
email address. Past messages can be retrieved in digest format by
anonymous ftp from ftp://ftp.jach.hawaii.edu/pub/ukirt/frossie/pdlp/ .  A
searchable archive and a hypertext version of the traffic on this list can
be found at http://www.xray.mpe.mpg.de/mailing-lists/pdl-porters/ .

   Crossposting between these lists should be avoided unless there is a *
very* good reason for doing that.

Q: 3.3    What is the current version of PDL ?
----------------------------------------------

   As of this writing (FAQ version 0.6 of 01/06/2000 ) the latest released
version is 2.006 . The latest versions should always be available from a
CPAN mirror site near you (see above for info on where to get PDL).

   The most current version of PDL can be obtained from the CVS repository
see `""CVS availability of PDL""' in this node below.

Q: 3.4    I want to contribute to the further development of PDL. How can I help?
---------------------------------------------------------------------------------

   If you have a certain project in mind you should check if somebody else
is already working on it or if you could benefit from existing modules. Do
so by posting your planned project to the PDL developers mailing list at
pdl-porters@jach.hawaii.edu . To subscribe, send a message to
pdl-porters-request@jach.hawaii.edu containing a string in the following
format:

     subscribe me@my.email.address

   where you should replace the string * me@my.email.address* with your
email address.  You can also read past and current mails in the searchable
hypertext version of the mailing list at
http://www.xray.mpe.mpg.de/mailing-lists/pdl-porters/ . We are always
looking for people to write code and/or documentation ;).

Q: 3.5    I think I have found a bug in the current version of PDL. What shall I do?
------------------------------------------------------------------------------------

   First, make sure that the bug/problem you came across has not already
been dealt with somewhere else in this FAQ. Secondly, you can check the
searchable archive of the PDL mailing list at  whether this bug has
already been discussed. If you still haven't found any explanations you
can post a bug report to perldl@jach.hawaii.edu .

INSTALLATION
============

Q: 4.1    I have problems installing PDL. What shall I do?
----------------------------------------------------------

   First make sure you have read the file INSTALL in the distribution.
This contains a list of common problems which are unnecessary to repeat
here. Next, check the file perldl.conf to see if by editing the
configuration options in that file you will be able to successfully build
PDL. Some of the modules need additional software installed, please refer
to the file DEPENDENCIES for further details. Make sure to edit the
location of these packages in perldl.conf if you have them in non-standard
locations.

   If you would like to save an edited perldl.conf for future builds just
copy it as ~/.perldl.conf into your home directory where it will be picked
up automatically during the PDL build process.

   If you still can't make it work properly please submit a bug report
including detailed information on the problems you encountered to the
perldl mailing list ( perldl@jach.hawaii.edu , see also above). Response is
often rapid.

Q: 4.2    Are there configuration files for PDL I have to edit?
---------------------------------------------------------------

   Most users should not have to edit any configuration files manually.
However, in some cases you might have to supply some information about
akwardly placed include files/libraries or you might want to explicitly
disable building some of the optional PDL modules.  Check the files
INSTALL and perldl.conf for details.

   If you had to manually edit perldl.conf and are happy with the results
you can keep the file handy for future reference. Place it in
~/.perldl.conf where it will be picked up automatically or use ` perl
Makefile.PL  PDLCONF=your_file_name' next time you build PDL.

Q: 4.3    Do I need other software for successfull operation?
-------------------------------------------------------------

   For the basic PDL functionality you don't need any additional software.
However, some of the optional PDL modules included in the distribution
(notably most graphics and some I/O modules) require certain other
libraries/programs to be installed. Check the file DEPENDENCIES in the
distribution for details and directions on how to get these.

Q: 4.4   PDL compilation ends with ` Error:  PL_na not declared'  or similar
----------------------------------------------------------------------------

   You have probably upgraded perl to 5.6 and tried to recompile an old
version of PDL. The solution to this problem is to upgrade to a version ( >
2.005) which should have this fixed.

   If the latest version of PDL does not fix this problem for you, and you
have made sure your old installation is not interfering, you should post a
message to the mailing-list.

BINARY DISTRIBUTIONS
====================

Q: 4.5    What binary distributions are available?
--------------------------------------------------

   Information about binary distributions of PDL can be found on
http://pdl.perl.org .  At present there are binary distributions of PDL
for Linux (RedHat and Debian), FreeBSD and Windows. If someone is
interested in providing binary distributions for other architectures, that
would be very welcome. Let us know on the pdl-porters@jach.hawaii.edu
mailing list.

Q: 4.6    Does PDL run on Linux? (And what about packages?)
-----------------------------------------------------------

   Yes, PDL does run on Linux and indeed much of the development has been
done under Linux. On http://pdl.perl.org you can find links to Debian
packages, as well as the more actively updated RedHat packages. These
should also work with Mandrake, and can possibly be converted to Debian
using ` alien' .

Q: 4.7    Does PDL run under Windows?
-------------------------------------

   To some extent is probably the fairest answer. There is no official
effort to port PDL to Windows with each release of the software, and a
volunteering effort would be much appreciated. However a port of ( 2.001 )
does already exist thanks to Christian Soeller.  A main worry on Windows
platforms is the lack of a good graphics interface, any help with this
would be very welcome.

   It is also important to note that there is no distribution of PDL
through ActiveState's ppm. Such a compilation would be very welcome!

CVS AND ON-GOING DEVELOPMENT
============================

Q: 4.8    Can I get PDL via CVS?
--------------------------------

   Yes, as of December 1999, PDL is available at the CVS repository on
http://www.sourceforge.net . The tree is updated by developers who have
accounts on Sourceforge and snapshots of the tree are released regularly
by the pumpkin holder (the pumpking).

   If you wish to access the CVS repository and install PDL from there all
you need are two simple commands, however make sure you read some of the
documentation on Sourceforge as well for full information, but the basic
command is:

     cvs -d:pserver:anonymous@cvs.PDL.sourceforge.net:/cvsroot/PDL login
     cvs -z3 -d:pserver:anonymous@cvs.PDL.sourceforge.net:/cvsroot/PDL co PDL

   When prompted for a password just press the Enter key.  Note however
that the CVS tree is to be considered a development release and as such
you are very welcome to try it out, but it is not recommended for mission
critical use and might crash unexpectedly.

Q: 4.9  I had a problem with the CVS version, how do I check if  someone has submitted a patch?
-----------------------------------------------------------------------------------------------

   The Sourceforge system contains a patch-manager which contains patches
that have not yet been applied to the distribution. This can be accessed
by first accessing the Sourceforge web site and search for PDL. This will
show you the project page for PDL and will give you access to the Patch
manager.

   In addition, if you are not subscribing to the mailinglist, check the
archive of the ` pdl-porters' and ` perldl' mailing lists.

Q: 4.10    I have gotten developer access to CVS, but I have trouble  committing uploads.
-----------------------------------------------------------------------------------------

   The first you should do is to read the Sourceforge documentation and
learn the basics about CVS. But assuming you know this here is a quick
intro from Karl Glazebrook:

     Delete your entire CVS directory structure and START AGAIN
     (there is state)
     
     In a clean directory:
     
     setenv CVS_RSH          ssh
     setenv CVSROOT          kgb@cvs.PDL.sourceforge.net:/cvsroot/PDL
     
     cvs co PDL
     
     You will need to type your password. every time you issue a cvs
     command. there is no way around this if you use non-anon
     access and you can't mix the two.
     
     Howevery cvs committs will now work and write back to the server.
     
     You will continue to have to type your password until you upload
     a key to the sourcefourve web page. Once you have done this it
     becomes painless.

PDL JARGON
==========

Q: 5.1    What is threading (is PDL a newsreader) ?
---------------------------------------------------

   Unfortunately, in the context of PDL the term threading can have two
different (but related) meanings:

   * When mentioned in the INSTALL directions and possible during the
     build process we have the usual computer science meaning of
     multithreading in mind (useful mainly on multiprocessor machines or
     clusters)

   * PDL threading of operations on piddles (as mentioned in the indexing
     docs) is the iteration of a basic operation over appropriate
     subslices of piddles, e.g. the inner product ` inner $a, $b' of a (3)
     pdl ` $a' and a (3,5,4) pdl ` $b' results in a (5,4) piddle where each
     value is the result of an inner product of the (3) pdl with a (3)
     subslice of the (3,5,4) piddle.  For details check `"PDL::Indexing"'
     in this node

   PDL threading leads naturally to potentially parallel code which can
make use of multithreading on multiprocessor machines/networks; there you
have the connection between the two types of use of the term.

Q: 5.2    What is a piddle ` (;)'  ?
------------------------------------

   Well, PDL scalar variables (which are instances of a particular class
of perl objects, i.e. blessed thingies (see `"man perlobj"' in this node
)) are in common PDL parlance often called * piddles* (for example, check
the mailing list archives). Err, clear? If not, simply use the term *
piddle* when you refer to a PDL variable (an instance of a PDL object as
you might remember) regardless of what actual data the PDL variable
contains.

TECHNICAL QUESTIONS
===================

Q: 6.1    What is perldl?
-------------------------

   Sometimes perldl is used as a synonym for PDL. Strictly speaking,
however, the name perldl is reserved for the little shell that comes with
the PDL distribution and is supposed to be used for the interactive
prototyping of PDL scripts. For details check the perldl man page.

Q: 6.2    How do I get online help for PDL?
-------------------------------------------

   Just type ` help' (shortcut = "?") at the ` perldl' prompt and proceed
from there. Another useful command is the ` apropos' (shortcut = "??")
command.

   Also try the ` demo' command in the perldl shell if you are new to PDL.

MANIPULATION OF PIDDLES
=======================

Q: 6.3    I want to access the third element of a pdl but $a[2] doesn't work ?!
-------------------------------------------------------------------------------

   See answer to the next question why the normal perl array syntax doesn't
work for pdls.

Q: 6.4    The docs say pdls are some kind of array. But why doesn't the perl array syntax work with pdls then ?
---------------------------------------------------------------------------------------------------------------

   Ok, you are right in a way. The docs say that pdls can be thought of
arrays.  More specifically, it says ( `"PDL::Impatient"' in this node ):

     I find when using perlDL it is most useful to think of
     standard perl @x variables as "lists" of generic
     "things" and PDL variables like $x as
     "arrays" which can be contained in lists or
     hashes.

   So, while pdls can be thought of as some kind of multi-dimensional
array they are * not* arrays in the perl sense. Rather, from the point of
view of perl they are some special class (which is currently implemented
as an opaque pointer to some stuff in memory) and therefore need special
functions (or 'methods' if you are using the OO version) to access
individual elements or a range of elements. The functions/methods to check
are ` at' / ` set' (see `"the section 'Sections' in PDL::Impatient"' in
this node ) or the powerful ` slice' function and friends (see
`"PDL::Slices"' in this node and `"PDL::Indexing"' in this node ).

   Finally, to confuse you completely, you can have perl arrays of plds,
e.g. $spec[3] can refer to a pdl representing ,e.g, a spectrum, where
$spec[3] is the fourth element of the perl list (or array ;) ` @spec' .
This may be confusing but is very useful !

Q: 6.5    How do I concatenate piddles?
---------------------------------------

   Most people will try to form new piddles from old piddles using some
variation over the theme: ` $a =  pdl([$b, 0, 2])' , but this does not
work. The way to concatenate piddles is to use the function ` cat' .
Similarly you can split piddles using the command ` dog' .

Q: 6.6    Sometimes I am getting these strange results when using inplace  operations?
--------------------------------------------------------------------------------------

   This question is related to the ` inplace' function. From the
documentation (see `"PDL::Impatient"' in this node manpage):

     Most functions, e.g. log(), return a result which is
              a transformation of their argument. This makes for
              good programming practice. However many operations can
              be done "in-place" and this may be required when large
              arrays are in use and memory is at a premium. For these
              circumstances the operator inplace() is provided which
              prevents the extra copy and allows the argument to be
              modified. e.g.:

     $x = log($array);          # $array unaffected
              log( inplace($bigarray) ); # $bigarray changed in situ

   And also from the doc !!:

     Obviously when used with some functions which can
              not be applied in situ (e.g. convolve()) unexpected
              effects may occur!

   Check the list of PDL functions at the end of PDL.pod which points out
` inplace' -safe functions.

Q: 6.7    What is this strange usage of the string concatenation operator  ` .='  in PDL scripts?
-------------------------------------------------------------------------------------------------

   See next question on assignment in PDL.

Q: 6.8    Why are there two different kinds of assignment in PDL ?
------------------------------------------------------------------

   This is caused by the fact that currently the assignment operator ` ='
allows only restricted overloading. For some purposes of PDL it turned out
to be necessary to have more control over the overloading of an assignment
operator. Therefore, PDL peruses the operator ` .=' for certain types of
assignments.

Q: 6.9    How do I set a set of values in a piddle?
---------------------------------------------------

   With versions of Perl prior to 5.6 this has to be done using a
temporary variable.

     perldl> $a = sequence(5); p $a
                    [0 1 2 3 4]
     perldl> $tmp = $a->slice('1:2'); p $tmp;
                    [1 2]
                    perldl> $tmp .= pdl([5, 6]);    # Note .= !!
     perldl> p $a
                    [0 5 6 3 4]

   This can also be made into one expression, which is often seen in PDL
code:

     perldl> ($tmp = $a->slice('1:2')) .= pdl([5,6])
     perldl> p $a
                    [0 5 6 3 4]

   In Perl 5.6 this assignment can be simplified using lvalue subroutines,
and this will be incorporated into PDL when 5.6 is more widespread.

Q: 6.10    Can I use a piddle in a conditional expression?
----------------------------------------------------------

   Yes you can, but not in the way you probably tried first. It is not
possible to use a piddle directly in a conditional expression since this
is usually poorly defined. Instead PDL has two very useful functions: `
any' and ` all' . Use these to test if any or all elements in a piddle
fulfils some criterion:

     perldl> $a=pdl ( 1, -2, 3);
     perldl> print '$a has at least one element < 0' if (any $a < 0);
     $a has at least one element < 0
     
     perldl> print '$a is not positive definite' unless (all $a > 0);
     $a is not positive definite

Q: 6.11    Logical operators and piddles -  '||' and ' & & ' doesn't work!
--------------------------------------------------------------------------

   It is a common problem that you try to make a mask array or something
similar using a construct such as

     $mask = which($piddle > 1 && $piddle < 2);

   This * does not* work! What you are looking for is the * bitwise*
logical operators '|' and ' & ' which work on an element-by-element basis.
So it is really very simple: Do not use logial operators on multi-element
piddles since that really doesn't make sense, instead write the example as:

     $mask = which($piddle > 1 & $piddle < 2);

   which works correctly.

ADVANCED TOPICS
===============

Q: 6.12    What is a null pdl ?
-------------------------------

   ` null' is a special token for 'empty piddle'. A null pdl can be used
to flag to a PDL function that it should create an appropriately sized and
typed piddle.  * Null* piddles can be used in places where a PDL function
expects an * output* or * temporary* argument.  * Output* and * temporary*
arguments are flagged in the * signature* of a PDL function with the `
[o]' and ` [t]' qualifiers (see next question if you don't know what the *
signature* of a PDL function is).  For example, you can invoke the `
sumover' function as follows:

     sumover $a, $b=null;

   which is equivalent to

     $b = sumover $a;

   If this seems still a bit murky check `"PDL:Indexing"' in this node and
`"PDL::PP"' in this node for details about calling conventions, the *
signature* and * threading* (see also below).

Q: 6.13    What is the signature of a PDL function ?
----------------------------------------------------

   The * signature* of a function is an important concept in PDL.  Many
(but not all) PDL function have a * signature* which specifies the
arguments and their (minimal) dimensionality. As an example, look at the
signature of the ` maximum' function:

     'a(n); [o] b;'

   this says that ` maximum' takes two arguments, the first of which is
(at least) one-dimensional while the second one is zero-dimensional and an
* output* argument (flagged by the ` [o]' qualifier). If the function is
called with pdls of higher dimension the function will be repeatedly
called with slices of these pdls of appropriate dimension(this is called *
threading* in PDL).

   For details and further explanations consult `"PDL::Indexing"' in this
node and `"PDL::PP"' in this node .

Q: 6.14    How can I subclass (inherit from) piddles?
-----------------------------------------------------

   The short answer is: read `"PDL::Objects"' in this node (e.g. type `
help PDL::Objects' in the * perldl* shell).

   The longer answer (extracted from `"PDL::Objects"' in this node ):
Since a PDL object is an opaque reference to a C struct, it is not
possible to extend the PDL class by e.g. extra data via subclassing (as
you could do with a hash based perl object).  To circumvent this problem
PDL has built-in support to extent the PDL class via the * has-a* relation
for blessed hashes. You can get the * HAS-A* behave like * IS-A* simply in
that you assign the PDL object to the attribute named ` PDL' and redefine
the method initialize(). For example:

     package FOO;

     @FOO::ISA = qw(PDL);
              sub initialize {
              my $class = shift;
              my $self = {
              creation_time => time(),  # necessary extension :-)
              PDL => PDL->null,         # used to store PDL object
              };
              bless $self, $class;
              }

   For another example check the script t/subclass.t in the PDL
distribution.

Q: 6.15    What on earth is this dataflow stuff ?
-------------------------------------------------

   Dataflow is an experimental project that you don't need to concern
yourself with (it should not interfere with your usual programming).
However, if you want to know, have a look at `"PDL::Dataflow"' in this
node . There are applications which will benefit from this feature (and it
is already at work behind the scenes).

Q: 6.16    What is PDL::PP?
---------------------------

   Simple answer: PDL::PP is both a glue between external libraries and
PDL and a concise language for writing PDL functions.

   Slightly longer answer: PDL::PP is used to compile very concise
definitions into XSUB routines implemented in C that can easily be called
from PDL and which automatically support threading, dataflow and other
things without you having to worry about it.

   For further details check `"PDL::PP"' in this node and the section on
"Extensions of PDL".

Q: 6.17    What happens when I have several references to the same PDL object in different variables (cloning, etc?) ?
----------------------------------------------------------------------------------------------------------------------

   Piddles behave like perl references in many respects. So when you say

     $a = pdl [0,1,2,3];
              $b = $a;

   then both $b and $a point to the same object, e.g. then saying

     $b++;

   will *not* create a copy of the original piddle but just increment in
place, of which you can convince yourself by saying

     print $a;
              [1 2 3 4]

   This should not be mistaken for dataflow which connects several
*different* objects so that data changes are propagated between the so
linked piddles (though, under certain circumstances, dataflown piddles can
share physically the same data).

   It is important to keep the " reference nature " of piddles in mind
when passing piddles into subroutines. If you modify the input pdls you
modify the original argument, * not* a copy of it. This is different from
some other array processing languages but makes for very efficient passing
of piddles between subroutines. If you do not want to modify the original
argument but rather a copy of it just create a copy explicitly (this
example also demonstrates how to properly check for an * explicit* request
to process inplace, assuming your routine can work inplace):

     sub myfunc {
              my $pdl = shift;
              if ($pdl->is_inplace)
              {$pdl->set_inplace(0)}
              else  # modify a copy by default
              {$pdl = $pdl->copy}
              $pdl->set(0,0);
              return $pdl;
              }

MISCELLANEOUS
=============

Q: 6.18    What I/O formats are supported by PDL ?
--------------------------------------------------

   The current versions of PDL already support quite a number of different
I/O formats. However, it is not always obvious which module implements
which formats. To help you find the right module for the format you
require, here is a short list of the current list of I/O formats and a
hint in which module to find the implementation:

   * A home brew fast raw (binary) I/O format for PDL is implemented by the
     FastRaw module

   * The FlexRaw module implements generic methods for the input and
     output of `raw' data arrays.  In particular, it is designed to read
     output from FORTRAN 77 UNFORMATTED files and the low-level C write
     function, even if the files are compressed or gzipped.

     It is possible that the FastRaw functionality will be included in the
     FlexRaw module at some time in the future.

   * FITS I/O is implemented by the wfits/rfits functions in PDL::IO::Misc.

   * Ascii file I/O in various formats can be achieved by using the `
     rcols' and ` rgrep' functions, also in PDL::IO::Misc.

   * PDL::IO::Pic implements an interface to the netpbm/pbm+ filters to
     read/write several popular image formats; also supported is output of
     image sequences as MPEG movies.

   * On CPAN you can find the PDL-NetCDF module that works with the current
     released version of PDL 2.004.

   For further details consult the documentation in the individual modules.

Q: 6.19    How can I stack a set of 2D arrays (images) into a 3D piddle?
------------------------------------------------------------------------

   Assuming all arrays are of the same size and in some format recognised
by rpic (see `"PDL::IO::Pic"' in this node ) you could say:

     use PDL::IO::Pic;
              @names = qw/name1.tif .... nameN.tif/;  # some file names
              $dummy = PDL->rpic($names[0]);
              $cube = PDL->zeroes($dummy->type,$dummy->dims,$#names+1); # make 3D piddle
              for (0..$#names)
              {($tmp = $cube->slice(":,:,($_)")) .= PDL->rpic($names[$_])}

   The for loop reads the actual images into a temporary 2D piddle whose
values are then assigned (using the overloaded ` .=' operator) to the
approriate slices of the 3D piddle ` $cube' .

Q: 6.20    Where are testfiles for the graphics modules?
--------------------------------------------------------

   This answer applies mainly to PDL::Graphics::TriD (PDL's device
independent 3D graphics model) which is the trickiest one in this respect.
You find some test scripts in Demos/TriD in the distribution. After you
have built PDL just change to that directory and try

     perl -Mblib <testfile>

   where ` < testfile '> ; should match the pattern ` test[0-9].p' and
watch the results. Some of the tests should bring up a window where you
can control (twiddle) the 3D objects with the mouse. Try using MB1 for
turning the objects in 3D space and MB3 to zoom in and out.

   If you have a VRML viewer plugin for netscape you can also try `
tvrml*.p' for PDL generated dynamic VRML.

   Some demos of 3D graphics with PDL can also be invoked using the `
demo' command within the perldl shell.

Q: 6.21    What is TriD or PDL::TriD or PDL::Graphics::TriD?
------------------------------------------------------------

   Questions like this should be a thing of the past with the PDL online
help system in place. Just try (after installation):

     un*x> perldl
              perldl> apropos trid

   Check the output for promising hits and then try to look up some of
them, e.g.

     perldl> help PDL::Graphics::TriD

   Note that case matters with ` help' but not with ` apropos' .

EXTENSIONS OF PDL
=================

Q: 7.1    I am looking for a package to do XXX in PDL. Where shall I look for it?
---------------------------------------------------------------------------------

   The first stop is again ` perldl' or the PDL documentation. There is
already a lot of functionality in PDL which you might be aware of. The
easiest way to look for functionality is to use the ` apropos' command:

     perldl> apropos 'integral'
     ceil            Round to integral values in floating-point format
     floor           Round to integral values in floating-point format
     intover         Project via integral to N-1 dimensions
     rint            Round to integral values in floating-point format

   Since the apropos command is no sophisticated search engine make sure
that you search on a couple of related topics and use short phrases.

   However there is a good chance that what you need is not part of the
PDL distribution. You are then well advised to check out
http://pdl.perl.org where there is a list of packages using PDL. If that
does not solve your problem, ask on the mailing-list, if nothing else you
might get assistance which will let you interface your package with PDL
yourself, see also the next question.

Q: 7.2   Can I access my C/Fortran library routines in  PDL?
------------------------------------------------------------

   Yes, you can, in fact it is very simple for many simple applications.
What you want is the PDL pre-prosessor PP ( `"PDL::PP"' in this node ).
This will allow you to make a simple interface to your C routine.

   The two functions you need to learn (at least first) are ` pp_def'
which defines the calling interface to the function, specifying input and
output parameters, and contains the code that links to the external
library. The other command is ` pp_end' which finishes the PP definitions.
For details see the `"PDL::PP"' in this node man-page, but we also have a
worked example here.

     double eight_sum(int n)
        {
             int i;
             double sum, x;
          sum = 0.0; x=0.0;
             for (i=1; i<=n; i++) {
               x++;
               sum += x/((4.0*x*x-1.0)*(4.0*x*x-1.0));
             }
             return 1.0/sum;
        }

   We will here show you an example of how you interface C code with PDL.
This is the first example and will show you how to approximate the number
8...

   The C code is shown above and is a simple function returning a double,
and expecting an integer - the number of terms in the sum - as input. This
function could be defined in a library or, as we do here, as an inline
function.

   We will postpone the writing of the Makefile till later. First we will
construct the ` .pd' file. This is the file containing PDL::PP code. We
call this ` eight.pd' .

     #
        # pp_def defines a PDL function.
        #
        pp_addhdr (
        '
        double eight_sum(int n)
        {
          int i;
          double sum, x;
       sum = 0.0; x=0.0;
          for (i=1; i<=n; i++) {
            x++;
            sum += x/((4.0*x*x-1.0)*(4.0*x*x-1.0));
           }
          return 1.0/sum;
     }
        ');
     
     pp_def (
                'eight',
        	Pars => 'int a(); double [o]b();',
                Code => '$b()=eight_sum($a());'
               );
     # Always make sure that you finish your PP declarations with
        # pp_done
     pp_done();

   A peculiarity with our example is that we have included the entire code
with ` pp_addhdr' instead of linking it in. This is only for the purposes
of example, in a typical application you will use ` pp_addhdr' to include
header files. Note that the argument to ` pp_addhdr' is enclosed in quotes.

   What is most important in this example is however the ` pp_def'
command. The first argument to this is the name of the new function *
eight * , then comes a hash which the real meat:

   * This gives the input parameters (here ` a' ) and the output
     parameters (here ` b' ).  The latter are indicated by the ` [o]'
     specifier. Both arguments can have a type specification as shown here.

     Many variations and further flexibility in the interface can be
     specified. See the manpage for details.

   * This switch contains the code that should be executed. As you can see
     this is a rather peculiar mix of C and Perl, but essentially it is
     just as you would write it in C, but the variables that are passed
     from PDL are treated differently and have to be referred to with a
     preceding '$'.

     There are also simple macros to pass pointers to data and to obtain
     the values of other Perl quantities, see the manual page for further
     details.

   Finally note the call to ` pp_done()' at the end of the file. This is
necessary in all PP files.

   Ok. So now we have a file with code that we dearly would like to use in
Perl via PDL. To do this we need to compile the function, and to do that
we need a Makefile.

     use PDL::Core::Dev;
        use ExtUtils::MakeMaker;
        PDL::Core::Dev->import();
     $package = ["eight.pd",Eight,PDL::Eight];
        %hash = pdlpp_stdargs($package);
     WriteMakefile( %hash );
     sub MY::postamble {pdlpp_postamble($package)};

   The code above should go in a file called Makefile.PL, which should
subsequently be called in  the standard Perl way: ` perl Makefile.PL' .
This should give you a Makefile and running ` make' should compile the
module for you and ` make install' will install it for you.

Q: 7.3    How can I interface package XXX in PDL?
-------------------------------------------------

   This question is closely related to the previous one, and as we said
there, the `"PDL::PP"' in this node pre-processor is the standard way of
interfacing external packages with PDL. The most usual way to use PDL::PP
is to write a short interface routine, see the `"PDL::PP"' in this node
manpage and the answer to the previous question for examples.

   However it is also possible to interface a package to PLD by re-writing
your function in PDL::PP directly. This can be convenient in certain
situations, in particular if you have a routine that expects a function as
input and you would like to pass the function a Perl function for
convenience.

   The `"PDL::PP"' in this node manpage is the main source of information
for writing PDL::PP extensions, but it is very useful to look for files in
the distribution of PDL as many of the core functions are written in
PDL::PP. Look for files that end in ` .pd' which is the generally accepted
suffix for PDL::PP files. But we also have a simple example here

   The following example will show you how to write a simple function that
automatically allows threading. To make this concise the example is of an
almost trivial function, but the intention is to show the basics of
writing a PDL::PP interface.

   We will write a simple function that calculates the minimum, maximum
and average of a piddle. On my machine the resulting function is 8 times
faster than the built-in function ` stats' (of course the latter also
calculates the median).

   Let's jump straight in. Here is the code (from a file called `
quickstats.pd' )

     #
        pp_def('quickstats',
        	Pars => 'a(n); [o]avg(); [o]max(); [o]min()',
        	Code => '$GENERIC(a) curmax, curmin;
        	         $GENERIC(a) tmp=0;
                         loop(n) %{
                           tmp += $a();
                           if (!n || $a() > curmax) { curmax = $a();}
                           if (!n || $a() < curmin) { curmin = $a();}
                         %}
                         $avg() = tmp/$SIZE(n);
        	         $max() = curmax;
        	         $min() = curmin;
                        '
        	);
     pp_done();

   The above might look like a confusing mixture of C and Perl, but behind
the peculiar syntax lies a very powerful language. Let us take it line by
line.

   The first line declares that we are starting the definition of a PDL:PP
function called ` quickstats' .

   The second line is very important as it specifies the input and output
parameters of the function.  ` a(n)' tells us that there is one input
parameter that we will refer to as ` a' which is expected to be a vector of
length n (likewise matrices, both square and rectangular would be written
as ` a(n,n)' and ` a(n,m)' respectively). To indicate that something is an
output parameter we put ` [o]' in front of their names, so referring back
to the code we see that avg, max and min are three output parameters, all
of which are scalar (since they have no dimensional size indicated.

   The third line starts the code definition which is essentially pure C
but with a couple of convenient functions.  ` $GENERIC' is a function that
returns the C type of its argument - here the input parameter a. Thus the
first two lines of the code section are variable declarations.

   The ` loop(n)' construct is a convenience function that loops over the
dimension called n in the parameter section. Inside this loop we calculate
the cumulative sum of the input vector and keep track of the maximum and
minimum values. Finally we assign the resulting values to the output
parameters.

   Finally we finish our function declaration with ` pp_done()' .

   To compile our new function we need to create a Makefile, which we will
just list since its creation is discussed in an earlier question.

     use PDL::Core::Dev;
        use ExtUtils::MakeMaker;
        PDL::Core::Dev->import();
     $package = ["quickstats.pd",Quickstats,PDL::Quickstats];
        %hash = pdlpp_stdargs($package);
     WriteMakefile( %hash );
     sub MY::postamble {pdlpp_postamble($package)};

   An example Makefile.PL

   Our new statistic function should now compile using the tried and
tested perl way: ` perl  Makefile.PL; make' .

   You should experiment with this function, changing the calculations and
input and output parameters. In conjunction with the PDL::PP manpage this
should allow you to quickly write more advanced routines directly in
PDL::PP.

THE WHO WHEN WHAT
=================

CHANGES
=======

   *        * markers for alpha stage functionality removed

        * restructured description

        * development/support of PDL

        * PDL and online help

        * subclassing piddles

        * new INSTALLATION section

        * how to stack 2D piddles - > 3D piddle

        * questions regarding TriD

   *        * use of perl5.004 is now required

        * PDL I/O formats

        * piddles behave like perl references

        * null PDL's and output arguments

        * signature

   *        * questions about pdls and perl array syntax

        * added requirement for C compiler in answer to 'what machines...'
          question

        * PDL jargon section

        * piddles

   *        * upgraded released/alpha version numbers

        * added another WYANDL reason

        * split into perldl/pdl-porters mailing lists

   *        * initial revision

BUGS
====

   If you find any inaccuracies in this document (or disfunctional URLs)
please report to the perldl mailing list perldl@jach.hawaii.edu or to the
current FAQ maintainer Jarle Brinchmann ( jarle@astro.ox.ac.uk ).

ACKNOWLEDGEMENTS
================

   Achim Bohnet ( ach@mpe.mpg.de ) for suggesting CoolHTML as a
prettypodder (although we have switched to XML now) and various other
improvements. Suggestions for some questions were taken from Perl Faq and
adapted for PDL.

CONTRIBUTORS
============

   Many people have contributed or given feedback on the current version
of the FAQ, here is an incomplete list of individuals whose contributions
or posts to the mailing-list have improved this FAQ at some point in time
alphabetically listed by first name: Christian Soeller, Doug Burke, Doug
Hunt, Frank Schmauder, Jarle Brinchmann, John Cerney, Karl Glazebrook,
Kurt Starsinic, Thomas Yengst, Tuomas J. Lukka.

AUTHOR AND COPYRIGHT
====================

   This document emerged from a joint effort of several PDL developers
(Karl Glazebrook ( kgb@aaoepp.aao.gov.au ), Tuomas J. Lukka ( lukka@iki.fi
), Christian Soeller ( c.soeller@auckland.ac.nz )) to compile a list of the
most frequently asked questions about PDL with answers.  Permission is
granted for verbatim copying (and formatting) of this material as part of
PDL. Permission is explicitly not granted for distribution in book or any
corresponding form. Email the current FAQ maintainer Jarle Brinchmann (
jarle@astro.ox.ac.uk ) or ask on the PDL mailing list
perldl@jach.hawaii.edu if some of the issues covered in here are unclear.


