=head1 NAME

PDL::Internals - description of some aspects of the current internals

=head1 SYNOPSIS

  # let PDL tell you what it's doing
  use PDL;
  PDL::Core::set_debugging(1);
  $pa = sequence(6, 3, 2);
  $pb = $pa->slice('1:3');
  $pc = $pb->matmult($pb);
  $pd = $pc->dsumover;
  print "pb=$pb\npc=$pc\npd=$pd";

=head1 DESCRIPTION

=head2 Intro

This document explains various aspects of the current implementation
of PDL. If you just want to use PDL for something, you definitely
do not need to read this. Even if you want to interface your C routines
to PDL or create new L<PDL::PP> functions, you do not need to read this
man page (though it may be informative). This document is primarily
intended for people interested in debugging or changing the internals
of PDL. To read this, a good understanding of the C language
and programming and data structures in general is required, as well
as some Perl understanding. If you read through this document
and understand all of it and are able to point what any part of
this document refers to in the PDL core sources and additionally
struggle to understand L<PDL::PP>, you will be awarded the title
"PDL Guru".

B<Warning:> If it seems that this document has gotten out of date,
please inform the PDL porters email list (pdl-devel@lists.sourceforge.net).
This may well happen.

=head2 ndarrays

The pdl data object is generally an opaque scalar reference into a 
pdl structure in memory. Alternatively, it may be a hash reference with
the C<PDL> field containing the scalar reference (this makes overloading
ndarrays easy, see L<PDL::Objects>). You can easily find out
at the Perl level which type of ndarray you are dealing with. The example
code below demonstrates how to do it:

   # check if this an ndarray
   die "not an ndarray" unless UNIVERSAL::isa($pdl, 'PDL');
   # is it a scalar ref or a hash ref?
   if (UNIVERSAL::isa($pdl, "HASH")) {
     die "not a valid PDL" unless exists $pdl->{PDL} &&
	UNIVERSAL::isa($pdl->{PDL},'PDL');
     print "This is a hash reference,",
	" the PDL field contains the scalar ref\n";
   } else {
     print "This is a scalar ref that points to address $$pdl in memory\n";
   }

The scalar reference points to the numeric address of a C structure of
type C<pdl> which is defined in F<pdl.h>. The mapping between the
object at the Perl level and the C structure containing the actual
data and structural that makes up an ndarray is done by the PDL typemap.
The functions used in the PDL typemap are defined pretty much at the top
of the file F<pdlcore.h>. So what does the structure look like:

	struct pdl {
	   unsigned long magicno; /* Always stores PDL_MAGICNO as a sanity check */
	     /* This is first so most pointer accesses to wrong type are caught */
	   int state;        /* What's in this pdl */

	   pdl_trans *trans_parent; /* Opaque pointer to internals of transformation from
				parent */

	   pdl_vaffine *vafftrans;

	   void*    sv;      /* (optional) pointer back to original sv.
				  ALWAYS check for non-null before use.
				  We cannot inc refcnt on this one or we'd
				  never get destroyed */

	   void *datasv;        /* Pointer to SV containing data. Refcnt inced */
	   void *data;            /* Null: no data alloced for this one */
	   PDL_Indx nvals;           /* How many values allocated */
	   int datatype;
	   PDL_Indx   *dims;      /* Array of data dimensions */
	   PDL_Indx   *dimincs;   /* Array of data default increments */
	   short    ndims;     /* Number of data dimensions */

	   unsigned char *threadids;  /* Starting index of the thread index set n */
	   unsigned char nthreadids;

	   pdl_children children;

	   PDL_Indx   def_dims[PDL_NDIMS];   /* Preallocated space for efficiency */
	   PDL_Indx   def_dimincs[PDL_NDIMS];   /* Preallocated space for efficiency */
	   unsigned char def_threadids[PDL_NTHREADIDS];

	   struct pdl_magic *magic;

	   void *hdrsv; /* "header", settable from outside */
	};

This is quite a structure for just storing some data in - what is going on?

=over 5

=item Data storage

We are going to start with some of the simpler members: first of all,
there is the member

	void *datasv;

which is really a pointer to a Perl SV structure (C<SV *>). The SV is
expected to be representing a string, in which the data of the ndarray
is stored in a tightly packed form. This pointer counts as a reference
to the SV so the reference count has been incremented when the C<SV *>
was placed here (this reference count business has to do with Perl's
garbage collection mechanism -- don't worry if this doesn't mean much
to you). This pointer is allowed to have the value C<NULL> which 
means that there is no actual Perl SV for this data - for instance, the data
might be allocated by a C<mmap> operation. Note the use of an SV*
was purely for convenience, it allows easy transformation of
packed data from files into ndarrays. Other implementations are not
excluded.

The actual pointer to data is stored in the member

	void *data;

which contains a pointer to a memory area with space for

	PDL_Indx nvals;

data items of the data type of this ndarray.  PDL_Indx is either 'long' or
'long long' depending on whether your perl is 64bit or not.

The data type of the data is stored in the variable

	int datatype;

the values for this member are given in the enum C<pdl_datatypes> (see
F<pdl.h>). Currently we have byte, short, unsigned short, long, index
(either long or long long), long long, float and double (plus complex
equivalents) types, see also L<PDL::Types>.

=item Dimensions

The number of dimensions in the ndarray is given by the member

	int ndims;

which shows how many entries there are in the arrays

	PDL_Indx   *dims;      
	PDL_Indx   *dimincs;

These arrays are intimately related: C<dims> gives the sizes of the dimensions
and C<dimincs> is always calculated by the code

	PDL_Indx inc = 1;
        for(i=0; i<it->ndims; i++) {
		it->dimincs[i] = inc; inc *= it->dims[i];
	}

in the routine C<pdl_resize_defaultincs> in C<pdlapi.c>.
What this means is that the dimincs can be used to calculate the offset
by code like

	PDL_Indx offs = 0;
	for(i=0; i<it->ndims; i++) {
		offs += it->dimincs[i] * index[i];
	}

but this is not always the right thing to do,
at least without checking for certain things first.

=item Default storage

Since the vast majority of ndarrays don't have more than 6 dimensions,
it is more efficient to have default storage for the dimensions and dimincs
inside the PDL struct.

   	PDL_Indx   def_dims[PDL_NDIMS];   
   	PDL_Indx   def_dimincs[PDL_NDIMS]; 

The C<dims> and C<dimincs> may be set to point to the beginning of these
arrays if C<ndims> is smaller than or equal to the compile-time constant
C<PDL_NDIMS>. This is important to note when freeing an ndarray struct.
The same applies for the threadids:

   	unsigned char def_threadids[PDL_NTHREADIDS];

=item Magic

It is possible to attach magic to ndarrays, much like Perl's own magic
mechanism. If the member pointer

	   struct pdl_magic *magic;

is nonzero, the PDL has some magic attached to it. The implementation
of magic can be gleaned from the file F<pdlmagic.c> in the distribution.

=item State

One of the first members of the structure is 

	int state;

The possible flags and their meanings are given in C<pdl.h>.
These are mainly used to implement the lazy evaluation mechanism
and keep track of ndarrays in these operations.

=item Transformations and virtual affine transformations

As you should already know, ndarrays often carry information about
where they come from. For example, the code

	$y = $x->slice("2:5");
	$y .= 1;

will alter $x. So C<$y> and C<$x> I<know> that they are connected
via a C<slice>-transformation. This information is stored in the members

	pdl_trans *trans_parent;
   	pdl_vaffine *vafftrans;

Both C<$x> (the I<parent>) and C<$y> (the child) store this information
about the transformation in appropriate slots of the C<pdl> structure.

C<pdl_trans> and C<pdl_vaffine> are structures that we will look at in
more detail below.

=item The Perl SVs

When ndarrays are referred to through Perl SVs, we store an additional
reference to it in the member

	void*    sv;

in order to be able to return a reference to the user when he wants to 
inspect the transformation structure on the Perl side.

Also, we store an opaque

	void *hdrsv; 

which is just for use by the user to hook up arbitrary data with this sv.
This one is generally manipulated through L<sethdr|PDL::Core/sethdr> and
L<gethdr|PDL::Core/gethdr> calls.

=back

=head2 Smart references and transformations: slicing and dicing

Smart references and most other fundamental functions
operating on ndarrays are implemented via I<transformations>
(as mentioned above) which are represented by the type C<pdl_trans> in PDL.

A transformation links input and output ndarrays and contains
all the infrastructure that defines how:

=over 4

=item *

output ndarrays are obtained from input ndarrays;

=item *

changes in smart-linked output ndarrays (e.g. the I<child>
of a sliced I<parent> ndarray) are flowed back to the input
ndarray in transformations where this is supported (the most
often used example being C<slice> here);

=item *

datatype and size of output ndarrays that need to be created
are obtained.

=back

In general, executing a PDL function on a group of ndarrays
results in creation of a transformation of the requested
type that links all input and output arguments (at least
those that are ndarrays). In PDL functions that support
data flow between input and output args (e.g. C<slice>,
C<index>) this transformation links I<parent> (input) and
I<child> (output) ndarrays permanently until either the link is
explicitly broken by user request (C<sever> at the Perl level)
or all parents and children have been destroyed. In those
cases the transformation is lazy-evaluated, e.g. only executed
when ndarray values are actually accessed.

In I<non-flowing> functions, for example addition (C<+>) and inner
products (C<inner>), the transformation is installed just as
in flowing functions but then the transformation is immediately
executed and destroyed (breaking the link between input and output args)
before the function returns.

It should be noted that the close link between input and output args
of a flowing function (like L<slice|PDL::Slices/slice>) requires
that ndarray objects that are linked in
such a way be kept alive beyond the point where they have gone
out of scope from the point of view of Perl:

  $x = zeroes(20);
  $y = $x->slice('2:4');
  undef $x;    # last reference to $x is now destroyed

Although $x should now be destroyed according to Perl's rules
the underlying C<pdl> structure must actually only be freed when C<$y>
also goes out of scope (since it still references
internally some of C<$x>'s data). This example demonstrates that such
a dataflow paradigm between PDL objects necessitates a special
destruction algorithm that takes the links between ndarrays
into account and couples the lifespan of those objects. The
non-trivial algorithm is implemented in the function
C<pdl_destroy> in F<pdlapi.c>. In fact, most of the code
in F<pdlapi.c> is concerned with
making sure that ndarrays (C<pdl *>s) are created, updated
and freed at the right times depending on interactions
with other ndarrays via PDL transformations (remember, C<pdl_trans>). 

=head2 Accessing children and parents of an ndarray

When ndarrays are dynamically linked via transformations as
suggested above input and output ndarrays are referred to as parents
and children, respectively.

An example of processing the children of an ndarray is provided
by the C<baddata> method of L<PDL::Bad>.

Consider the following situation:

 pdl> $x = rvals(7,7,{Centre=>[3,4]});
 pdl> $y = $x->slice('2:4,3:5');
 pdl> ? vars
 PDL variables in package main::

 Name         Type   Dimension       Flow  State          Mem
 ----------------------------------------------------------------
 $x           Double D [7,7]                P            0.38Kb 
 $y           Double D [3,3]                -C           0.00Kb

Now, if I suddenly decide that C<$x> should be flagged as possibly
containing bad values, using

 pdl> $x->badflag(1)

then I want the state of C<$y> - its I<child> - to be changed as
well (since it will either share or inherit some of C<$x>'s data and
so be also I<bad>), so that I get a 'B' in the I<State> field:

 pdl> ? vars                    
 PDL variables in package main::

 Name         Type   Dimension       Flow  State          Mem
 ----------------------------------------------------------------
 $x           Double D [7,7]                PB           0.38Kb 
 $y           Double D [3,3]                -CB          0.00Kb

This bit of magic is performed by the C<propagate_badflag> function,
which is in F<pdlapi.c>.
Given an ndarray (C<pdl *it>), the routine loops through each 
C<pdl_trans> structure, where access to this structure is provided by the 
C<PDL_CHILDLOOP_THISCHILD> macro.
The I<children> of the ndarray are stored in the C<pdls> array, after the
I<parents>, hence the loop from C<i = ...nparents> to 
C<i = ...npdls - 1>.
Once we have the pointer to the child ndarray, we can do what we want to 
it; here we change the value of the C<state> variable, but the details
are unimportant).
What B<is> important is that we call C<propagate_badflag> on this
ndarray, to ensure we loop through its children. This recursion
ensures we get to all the I<offspring> of a particular ndarray.

Access to I<parents> is similar, with the C<for> loop replaced by:

	for( i = 0;
	     i < trans->vtable->nparents;
	     i++ ) {
           /* do stuff with parent #i: trans->pdls[i] */
        }

=head2 What's in a transformation (C<pdl_trans>)

All transformations are implemented as structures

  struct pdl_trans {
	int magicno; /* to detect memory overwrites */
	short flags; /* state of the trans */
	pdl_transvtable *vtable;   /* the all important vtable */
	int __datatype; /* the type of the transformation */
	void *params; /* Opaque pointer to "compiled representation" of transformation */
	pdl *pdls[]; /* The pdls involved in the transformation */
  };

The C<params> member is an opaque pointer, typically to a C struct that
holds the "compiled representation"
(generated by L<PDL::PP>), and is the way that information like
C<OtherPars> etc get communicated from invoking code to the C<redodims>
function - effectively a closure, in Perl/LISP terms. This is necessary
because C<redodims> is called by a PDL-internal function, and therefore
must have a fixed parameter list.

The transformation identifies all C<pdl>s involved in the trans

  pdl *pdls[];

This is a C99 "incomplete array type", and works because it is at the
end of the struct - PDL allocates the correct amount of memory based on
the C<npdls> member of the C<vtable>. The trans records the state

  short flags;

and the datatype

  int __datatype;

of the trans (to which all ndarrays must be converted unless
they are explicitly typed, PDL functions created with L<PDL::PP>
make sure that these conversions are done as necessary). Most important is
the pointer to the vtable (virtual table) that contains the actual
functionality

 pdl_transvtable *vtable;

The vtable structure in turn looks something like (slightly
simplified from F<pdl.h> for clarity)

  typedef struct pdl_transvtable {
	int flags;
	int nparents;   /* number of parent pdls (input) */
	int npdls;      /* number of child pdls (output) */
	char *per_pdl_flags;  /* optimization flags */
	void (*redodims)(pdl_trans *tr);  /* figure out dims of children */
	void (*readdata)(pdl_trans *tr);  /* flow parents to children  */
	void (*writebackdata)(pdl_trans *tr); /* flow backwards */
	void (*freetrans)(pdl_trans *tr); /* Free both the contents and it of
					the trans member */
  	int structsize;
	char *name; /* the function's name */
  } pdl_transvtable;

The transformation and vtable code is hardly ever written by
hand but rather generated by L<PDL::PP> from concise descriptions.

Certain types of transformations can be optimized very
efficiently obviating the need for explicit C<readdata>
and C<writebackdata> methods. Those transformations are
called I<pdl_vaffine>. Most dimension manipulating
functions (e.g., C<slice>, C<xchg>) belong to this class.

The basic trick is that parent and child of such a transformation work
on the same (shared) block of data which they just choose
to interpret differently (by using different C<dims>, C<dimincs> and
C<offs> on the same data, compare the C<pdl> structure above).
Each operation on an ndarray sharing
data with another one in this way is therefore automatically flowed
from child to parent and back -- after all they are reading and writing
the same block of memory. This is currently not Perl thread safe --
no big loss since the whole PDL core is not reentrant
(Perl threading C<!=> PDL threading!).

=head2 Callback functions

=head3 redodims

Works out the dimensions of ndarrays that need
to be created and is called from within the API function that
should be called to ensure that the dimensions of an ndarray are
accessible (F<pdlapi.c>):

   void pdl_make_physdims(pdl *it)

=head3 readdata and writebackdata

Responsible for the actual
computations of the child data from the parents or parent data
from those of the children, respectively (the dataflow aspect).
The PDL core makes sure that these are called as needed when
ndarray data is accessed (lazy-evaluation). The general API
function to ensure that an ndarray is up-to-date is

  void pdl_make_physvaffine(pdl *it)

which should be called before accessing ndarray data from
XS/C (see F<Core.xs> for some examples).

=head3 freetrans

Frees dynamically allocated memory associated
with the trans as needed.
Again, functions built with L<PDL::PP> make sure that
freeing via these callbacks happens at the right times.

=head2 Signatures: threading over elementary operations

Most of that functionality of PDL threading (automatic iteration
of elementary operations over multi-dim ndarrays) is implemented in the
file F<pdlthread.c>.

The L<PDL::PP> generated functions (in particular the
C<readdata> and C<writebackdata> callbacks) use this infrastructure to 
make sure that the fundamental operation implemented by the
trans is performed in agreement with PDL's threading semantics.

=head2 Defining new PDL functions -- Glue code generation

Please, see L<PDL::PP> and examples in the PDL distribution. Implementation
and syntax are currently far from perfect but it does a good job!

=head2 The Core struct

As discussed in L<PDL::API>, PDL uses a pointer to a structure
to allow PDL modules access to its core routines. The definition of this
structure (the C<Core> struct) is in F<pdlcore.h> (created by 
F<pdlcore.h> in F<Basic/Core>) and looks something like

 /* Structure to hold pointers core PDL routines so as to be used by 
  * many modules
  */
 struct Core {
    I32    Version;
    pdl*   (*SvPDLV)      ( SV*  );
    void   (*SetSV_PDL)   ( SV *sv, pdl *it );
    pdl*   (*pdlnew)      ( );
    pdl*   (*tmp)         ( );
    pdl*   (*create)      (int type);
    void   (*destroy)     (pdl *it);
    ...
 }
 typedef struct Core Core;

The first field of the structure (C<Version>) is used to ensure 
consistency between modules at run time; the following code
is placed in the BOOT section of the generated xs code:

 if (PDL->Version != PDL_CORE_VERSION)
   Perl_croak(aTHX_ "Foo needs to be recompiled against the newly installed PDL");

If you add a new field to the F<Core> struct you should:

=over 5

=item *

discuss it on the pdl porters email list (pdl-devel@lists.sourceforge.net)
and use the techniques in L<PDL::FAQ> 4.11.

=item *

increase by 1 the value of the C<PDL_CORE_VERSION> C macro used to
populate the Version field, in F<pdlcore.h>.

=item *

add documentation (e.g. to L<PDL::API>) if it's a
"useful" function for external module writers (as well as
ensuring the code is as well documented as the rest of PDL
;)

=back

=head1 BUGS

This description is far from perfect. If you need more details
or something is still unclear please ask on the pdl-devel
mailing list (pdl-devel@lists.sourceforge.net).

=head1 AUTHOR

Copyright(C) 1997 Tuomas J. Lukka (lukka@fas.harvard.edu),
2000 Doug Burke (djburke@cpan.org), 2002 Christian Soeller & Doug Burke,
2013 Chris Marshall.
