Mercurial > octave-nkf
view scripts/sparse/spstats.m @ 18840:4a4edf0f2077 nkf-ready
fix LLVM 3.4 build (bug #41061)
* configure.ac: Call new functions OCTAVE_LLVM_RAW_FD_OSTREAM_API and
OCTAVE_LLVM_LEGACY_PASSMANAGER_API, check for Verifier.h header file
* m4/acinclude.m4 (OCTAVE_LLVM_RAW_FD_OSTREAM_API): New function to
detect correct raw_fd_ostream API
* m4/acinclude.m4 (OCTAVE_LLVM_LEGACY_PASSMANAGER_API): New function
to detect legacy passmanager API
* libinterp/corefcn/jit-util.h: Use legacy passmanager namespace if
necessary
* libinterp/corefcn/pt-jit.h (class tree_jit): Use legacy passmanager
class if necessary
* libinterp/corefcn/pt-jit.cc: Include appropriate header files
* libinterp/corefcn/pt-jit.cc (tree_jit::initialize): Use legacy
passmanager if necessary
* libinterp/corefcn/pt-jit.cc (tree_jit::optimize): Use correct API
* libinterp/corefcn/jit-typeinfo.cc: Include appropriate header file
author | Stefan Mahr <dac922@gmx.de> |
---|---|
date | Sun, 11 May 2014 02:28:33 +0200 |
parents | d63878346099 |
children | 9ac2357f19bc |
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## Copyright (C) 2004-2013 Paul Kienzle ## ## This file is part of Octave. ## ## Octave is free software; you can redistribute it and/or modify it ## under the terms of the GNU General Public License as published by ## the Free Software Foundation; either version 3 of the License, or (at ## your option) any later version. ## ## Octave is distributed in the hope that it will be useful, but ## WITHOUT ANY WARRANTY; without even the implied warranty of ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU ## General Public License for more details. ## ## You should have received a copy of the GNU General Public License ## along with Octave; see the file COPYING. If not, see ## <http://www.gnu.org/licenses/>. ## -*- texinfo -*- ## @deftypefn {Function File} {[@var{count}, @var{mean}, @var{var}] =} spstats (@var{S}) ## @deftypefnx {Function File} {[@var{count}, @var{mean}, @var{var}] =} spstats (@var{S}, @var{j}) ## Return the stats for the non-zero elements of the sparse matrix @var{S}. ## @var{count} is the number of non-zeros in each column, @var{mean} ## is the mean of the non-zeros in each column, and @var{var} is the ## variance of the non-zeros in each column. ## ## Called with two input arguments, if @var{S} is the data and @var{j} ## is the bin number for the data, compute the stats for each bin. In ## this case, bins can contain data values of zero, whereas with ## @code{spstats (@var{S})} the zeros may disappear. ## @end deftypefn function [count, mean, var] = spstats (S, j) if (nargin < 1 || nargin > 2) print_usage (); endif if (nargin == 1) [i, j, v] = find (S); else v = S; i = 1:length (v); S = sparse (i, j, v); endif [n, m] = size (S); count = sum (sparse (i, j, 1, n, m)); if (nargout > 1) mean = sum (S) ./ count; endif if (nargout > 2) ## FIXME Variance with count = 0 or 1? diff = S - sparse (i, j, mean (j), n, m); var = sum (diff .* diff) ./ (count - 1); endif endfunction %!test %! [n,m,v] = spstats ([1 2 1 2 3 4],[2 2 1 1 1 1]); %! assert (n, sparse ([4,2])); %! assert (m, sparse ([10/4,3/2]), 10*eps); %! assert (v, sparse ([5/3,1/2]), 10*eps);