Provided by: libpdl-vectorvalued-perl_1.0.21-1_amd64 
NAME
PDL::VectorValued::Utils - Low-level utilities for vector-valued PDLs
SYNOPSIS
use PDL;
use PDL::VectorValued::Utils;
##---------------------------------------------------------------------
## ... stuff happens
FUNCTIONS
Vector-Based Run-Length Encoding and Decoding
vv_rlevec
Signature: (c(M,N); indx [o]a(N); [o]b(M,N))
Run-length encode a set of vectors.
Higher-order rle(), for use with qsortvec().
Given set of vectors $c, generate a vector $a with the number of occurrences of each
element (where an "element" is a vector of length $M ocurring in $c), and a set of vectors
$b containing the unique values. As for rle(), only the elements up to the first instance
of 0 in $a should be considered.
Can be used together with clump() to run-length encode "values" of arbitrary dimensions.
Can be used together with rotate(), cat(), append(), and qsortvec() to count N-grams over
a 1d PDL.
See also: PDL::Slices::rle, PDL::Ufunc::qsortvec, PDL::Primitive::uniqvec
vv_rlevec does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
vv_rldvec
Signature: (int a(N); b(M,N); [o]c(M,N))
Run-length decode a set of vectors, akin to a higher-order rld().
Given a vector $a() of the number of occurrences of each row, and a set $c() of row-
vectors each of length $M, run-length decode to $c().
Can be used together with clump() to run-length decode "values" of arbitrary dimensions.
See also: PDL::Slices::rld.
vv_rldvec does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
vv_enumvec
Signature: (v(M,N); int [o]k(N))
Enumerate a list of vectors with locally unique keys.
Given a sorted list of vectors $v, generate a vector $k containing locally unique keys for
the elements of $v (where an "element" is a vector of length $M ocurring in $v).
Note that the keys returned in $k are only unique over a run of a single vector in $v, so
that each unique vector in $v has at least one 0 (zero) index in $k associated with it.
If you need global keys, see enumvecg().
vv_enumvec does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
vv_enumvecg
Signature: (v(M,N); int [o]k(N))
Enumerate a list of vectors with globally unique keys.
Given a sorted list of vectors $v, generate a vector $k containing globally unique keys
for the elements of $v (where an "element" is a vector of length $M ocurring in $v).
Basically does the same thing as:
$k = $v->vsearchvec($v->uniqvec);
... but somewhat more efficiently.
vv_enumvecg does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
vv_rleseq
Signature: (c(N); indx [o]a(N); [o]b(N))
Run-length encode a vector of subsequences.
Given a vector of $c() of concatenated variable-length, variable-offset subsequences,
generate a vector $a containing the length of each subsequence and a vector $b containing
the subsequence offsets. As for rle(), only the elements up to the first instance of 0 in
$a should be considered.
See also PDL::Slices::rle.
vv_rleseq does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
vv_rldseq
Signature: (int a(N); b(N); [o]c(M))
Run-length decode a subsequence vector.
Given a vector $a() of sequence lengths and a vector $b() of corresponding offsets, decode
concatenation of subsequences to $c(), as for:
$c = null;
$c = $c->append($b($_)+sequence($a->type,$a($_))) foreach (0..($N-1));
See also: PDL::Slices::rld.
vv_rldseq does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
vv_vsearchvec
Signature: (find(M); which(M,N); int [o]found())
Routine for searching N-dimensional values - akin to vsearch() for vectors.
$found = vsearchvec($find, $which);
$nearest = $which->dice_axis(1,$found);
Returns for each row-vector in $find the index along dimension N of the least row vector
of $which greater or equal to it. $which should be sorted in increasing order. If the
value of $find is larger than any member of $which, the index to the last element of
$which is returned.
See also: PDL::Primitive::vsearch().
vv_vsearchvec does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
Vector-Valued Sorting and Comparison
The following functions are provided for lexicographic sorting of vectors, rsp. axis
indices. As of PDL::VectorValued v1.0.12, vv_qsortvec() and vv_qsortveci() are just
deprecated aliases for the builtin PDL functions of the same names. Older versions of
this module used a dedicated implementation as a workaround for a bug in PDL-2.4.3, which
has long since been fixed.
vv_cmpvec
Signature: (a(N); b(N); int [o]cmp())
Lexicographically compare a pair of vectors.
vv_cmpvec does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
vv_qsortvec
Signature: (a(n,m); [o]b(n,m))
Deprecated alias for PDL::Ufunc::qsortvec(), which see for details.
vv_qsortveci
Signature: (a(n,m); indx [o]ix(m))
Deprecated alias for PDL::Ufunc::qsortveci(), which see for details.
Vector-Valued Set Operations
The following functions are provided for set operations on sorted vector-valued PDLs.
vv_union
Signature: (a(M,NA); b(M,NB); [o]c(M,NC); int [o]nc())
Union of two vector-valued PDLs. Input PDLs $a() and $b() MUST be sorted in lexicographic
order. On return, $nc() holds the actual number of vector-values in the union.
In scalar context, slices $c() to the actual number of elements in the union and returns
the sliced PDL.
vv_union does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
vv_intersect
Signature: (a(M,NA); b(M,NB); [o]c(M,NC); int [o]nc())
Intersection of two vector-valued PDLs. Input PDLs $a() and $b() MUST be sorted in
lexicographic order. On return, $nc() holds the actual number of vector-values in the
intersection.
In scalar context, slices $c() to the actual number of elements in the intersection and
returns the sliced PDL.
vv_intersect does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
vv_setdiff
Signature: (a(M,NA); b(M,NB); [o]c(M,NC); int [o]nc())
Set-difference ($a() \ $b()) of two vector-valued PDLs. Input PDLs $a() and $b() MUST be
sorted in lexicographic order. On return, $nc() holds the actual number of vector-values
in the computed vector set.
In scalar context, slices $c() to the actual number of elements in the output vector set
and returns the sliced PDL.
vv_setdiff does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
Sorted Vector Set Operations
The following functions are provided for set operations on flat sorted PDLs with unique
values. They may be more efficient to compute than the corresponding implementations via
PDL::Primitive::setops().
v_union
Signature: (a(NA); b(NB); [o]c(NC); int [o]nc())
Union of two flat sorted unique-valued PDLs. Input PDLs $a() and $b() MUST be sorted in
lexicographic order and contain no duplicates. On return, $nc() holds the actual number
of values in the union.
In scalar context, reshapes $c() to the actual number of elements in the union and returns
it.
v_union does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
v_intersect
Signature: (a(NA); b(NB); [o]c(NC); int [o]nc())
Intersection of two flat sorted unique-valued PDLs. Input PDLs $a() and $b() MUST be
sorted in lexicographic order and contain no duplicates. On return, $nc() holds the
actual number of values in the intersection.
In scalar context, reshapes $c() to the actual number of elements in the intersection and
returns it.
v_intersect does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
v_setdiff
Signature: (a(NA); b(NB); [o]c(NC); int [o]nc())
Set-difference ($a() \ $b()) of two flat sorted unique-valued PDLs. Input PDLs $a() and
$b() MUST be sorted in lexicographic order and contain no duplicate values. On return,
$nc() holds the actual number of values in the computed vector set.
In scalar context, reshapes $c() to the actual number of elements in the difference set
and returns it.
v_setdiff does not process bad values. It will set the bad-value flag of all output
ndarrays if the flag is set for any of the input ndarrays.
Miscellaneous Vector-Valued Operations
vv_vcos
Signature: (a(M,N);b(M);float+ [o]vcos(N))
Computes the vector cosine similarity of a dense vector $b() with respect to each row
$a(*,i) of a dense PDL $a(). This is basically the same thing as:
($a * $b)->sumover / ($a->pow(2)->sumover->sqrt * $b->pow(2)->sumover->sqrt)
... but should be must faster to compute, and avoids allocating potentially large
temporaries for the vector magnitudes. Output values in $vcos() are cosine similarities
in the range [-1,1], except for zero-magnitude vectors which will result in NaN values in
$vcos().
You can use PDL threading to batch-compute distances for multiple $b() vectors
simultaneously:
$bx = random($M, $NB); ##-- get $NB random vectors of size $N
$vcos = vv_vcos($a,$bx); ##-- $vcos(i,j) ~ sim($a(,i),$b(,j))
vv_vcos() will set the bad status flag on the output piddle $vcos() if it is set on either
of the input piddles $a() or $b(), but BAD values will otherwise be ignored for computing
the cosine similarity.
ACKNOWLEDGEMENTS
• Perl by Larry Wall
• PDL by Karl Glazebrook, Tuomas J. Lukka, Christian Soeller, and others.
• Code for rlevec() and rldvec() derived from the PDL builtin functions rle() and rld()
in $PDL_SRC_ROOT/Basic/Slices/slices.pd
KNOWN BUGS
Probably many.
AUTHOR
Bryan Jurish <moocow@cpan.org>
COPYRIGHT
• Code for qsortvec() copyright (C) Tuomas J. Lukka 1997. Contributions by Christian
Soeller (c.soeller@auckland.ac.nz) and 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.
• All other parts copyright (c) 2007-2022, Bryan Jurish. All rights reserved.
This package is free software, and entirely without warranty. You may redistribute it
and/or modify it under the same terms as Perl itself.
SEE ALSO
perl(1), PDL(3perl)