Hello community,
here is the log from the commit of package armadillo for openSUSE:Factory
checked in at 2016-02-18 11:07:40
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/armadillo (Old)
and /work/SRC/openSUSE:Factory/.armadillo.new (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "armadillo"
Changes:
--------
--- /work/SRC/openSUSE:Factory/armadillo/armadillo.changes 2016-01-28
17:25:54.000000000 +0100
+++ /work/SRC/openSUSE:Factory/.armadillo.new/armadillo.changes 2016-02-18
12:36:51.000000000 +0100
@@ -1,0 +2,6 @@
+Wed Feb 17 00:40:59 UTC 2016 - badshah...@gmail.com
+
+- Update to version 6.500.5:
+ + Bug fixes (undocumented by upstream).
+
+-------------------------------------------------------------------
Old:
----
armadillo-6.500.4.tar.gz
New:
----
armadillo-6.500.5.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ armadillo.spec ++++++
--- /var/tmp/diff_new_pack.pCZN3U/_old 2016-02-18 12:36:52.000000000 +0100
+++ /var/tmp/diff_new_pack.pCZN3U/_new 2016-02-18 12:36:52.000000000 +0100
@@ -19,7 +19,7 @@
%define soname libarmadillo6
Name: armadillo
-Version: 6.500.4
+Version: 6.500.5
Release: 0
Summary: Fast C++ matrix library with interfaces to LAPACK and ATLAS
License: MPL-2.0
++++++ armadillo-6.500.4.tar.gz -> armadillo-6.500.5.tar.gz ++++++
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/armadillo-6.500.4/CMakeLists.txt
new/armadillo-6.500.5/CMakeLists.txt
--- old/armadillo-6.500.4/CMakeLists.txt 2016-01-26 04:26:18.000000000
+0100
+++ new/armadillo-6.500.5/CMakeLists.txt 2016-02-09 15:27:23.000000000
+0100
@@ -16,7 +16,7 @@
set(ARMA_MAJOR 6)
set(ARMA_MINOR 500)
-set(ARMA_PATCH 4)
+set(ARMA_PATCH 5)
set(ARMADILLO_VERSION ${ARMA_MAJOR}.${ARMA_MINOR}.${ARMA_PATCH})
message(STATUS "Configuring Armadillo ${ARMADILLO_VERSION}")
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/armadillo-6.500.4/README.txt
new/armadillo-6.500.5/README.txt
--- old/armadillo-6.500.4/README.txt 2016-01-26 04:26:18.000000000 +0100
+++ new/armadillo-6.500.5/README.txt 2016-02-10 08:33:26.000000000 +0100
@@ -8,24 +8,26 @@
1: Introduction
2: Citation Details
- 3: Licenses and Support
- 4: Requirements
+ 3: Licenses
+ 4: Technical Support
- 5: Linux and Mac OS X: Installation
- 6: Linux and Mac OS X: Compiling & Linking
+ 5: Requirements
- 7: Windows: Installation
- 8: Windows: Compiling & Linking
+ 6: Linux and Mac OS X: Installation
+ 7: Linux and Mac OS X: Compiling & Linking
- 9: Support for OpenBLAS, Intel MKL and AMD ACML
-10: Support for ATLAS
+ 8: Windows: Installation
+ 9: Windows: Compiling & Linking
-11: Documentation / API Reference Manual
-12: MEX Interface to Octave/Matlab
+10: Support for OpenBLAS, Intel MKL and AMD ACML
+11: Support for ATLAS
-13: Bug Reports and Frequently Asked Questions
-14: Related Software
+12: API Documentation
+13: MEX Interface to Octave/Matlab
+
+14: Bug Reports and Frequently Asked Questions
+15: Related Software
@@ -75,33 +77,30 @@
-3: Licenses and Support
-=======================
+3: Licenses
+===========
Armadillo is available under 2 licenses:
- - open source license (with no support)
- - commercial license (with technical support)
+- Open source, using the Mozilla Public License (MPL) 2.0.
+ See the "LICENSE.txt" file for details.
+
+- Non-open source (commercial) license, available for purchase.
+ Please contact Conrad Sanderson for more information:
+ http://conradsanderson.id.au
-The open source edition uses the Mozilla Public License v2.0 (MPL),
-unless specified otherwise. See the "LICENSE.txt" file for license details.
-The MPL license requirements state that if you distribute any part
-of the library in executable form (including software & hardware products),
-then you must tell the recipients how to obtain a copy of the library source
code
-at a charge no more than the cost of distribution to the recipient.
-The requirements apply to both original and modified versions of the library.
-Any modifications to the library are automatically licensed under the MPL.
-The commercial license does not have the above requirements,
-and comes with technical support.
+4: Technical Support
+====================
-To obtain more information about the commercial license,
-please contact Conrad Sanderson: http://conradsanderson.id.au
+You can purchase technical support on a commercial basis.
+Please contact Conrad Sanderson for more information:
+http://conradsanderson.id.au
-4: Requirements
+5: Requirements
===============
Armadillo makes extensive use of template meta-programming, recursive templates
@@ -123,14 +122,9 @@
-5: Linux and Mac OS X: Installation
+6: Linux and Mac OS X: Installation
===================================
-You can install Armadillo on your system using the procedure detailed below,
-or use Armadillo without installation (detailed in section 6).
-
-Installation procedure:
-
* Step 1:
Ensure a C++ compiler is installed on your system.
@@ -148,23 +142,20 @@
On Mac OS X systems, you can get CMake through MacPorts or Homebrew.
* Step 3:
- Ensure LAPACK and BLAS (or their equivalents) are installed on your system.
+ Ensure LAPACK and BLAS are installed on your system.
On Mac OS X this is not necessary.
+ For better performance, we recommend installing the OpenBLAS library.
+ See http://xianyi.github.com/OpenBLAS/
+
If you are using sparse matrices, also install ARPACK and SuperLU.
Caveat: only SuperLU version 4.3 can be used!
On Linux-based systems, the following libraries are recommended
- to be present: LAPACK, BLAS, ARPACK, SuperLU and ATLAS.
- LAPACK and BLAS are the most important. It is also necessary to
- install the corresponding development files for each library.
- For example, when installing the "lapack" package, also install
- the "lapack-devel" or "lapack-dev" package.
-
- Caveat:
- For better performance, we recommend using the multi-threaded
- OpenBLAS library instead of standard BLAS.
- See http://xianyi.github.com/OpenBLAS/
+ to be present: OpenBLAS, LAPACK, SuperLU and ARPACK.
+ It is also necessary to install the corresponding development
+ files for each library. For example, when installing the "lapack"
+ package, also install the "lapack-devel" or "lapack-dev" package.
* Step 4:
Open a terminal window, change into the directory that was created
@@ -174,11 +165,11 @@
make
The full stop separated from "cmake" by a space is important.
- CMake will figure out what other libraries are currently installed
+ CMake will detect which relevant libraries are installed on your system
+ (eg. OpenBLAS, LAPACK, SuperLU, ARPACK, etc)
and will modify Armadillo's configuration correspondingly.
- CMake will also generate a run-time armadillo library, which is a
- wrapper for all the relevant libraries present on your system
- (eg. LAPACK, BLAS, ARPACK, SuperLU, ATLAS).
+ CMake will also generate a run-time armadillo library,
+ which is a wrapper for all the detected libraries.
If you need to re-run cmake, it's a good idea to first delete the
"CMakeCache.txt" file (not "CMakeLists.txt").
@@ -204,7 +195,7 @@
-6: Linux and Mac OS X: Compiling & Linking
+7: Linux and Mac OS X: Compiling & Linking
==========================================
The "examples" directory contains several quick example programs
@@ -214,34 +205,20 @@
g++ example1.cpp -o example1 -O2 -larmadillo
-If you want to use Armadillo without installation,
-or you're getting linking errors, compile along these lines:
+If you want to use Armadillo without installation (not recommended),
+compile along these lines:
- g++ example1.cpp -o example1 -O2 -I /home/blah/armadillo-6.500.4/include
-DARMA_DONT_USE_WRAPPER -lblas -llapack
+ g++ example1.cpp -o example1 -O2 -I /home/blah/armadillo-6.500.5/include
-DARMA_DONT_USE_WRAPPER -lblas -llapack
The above command line assumes that you have unpacked the armadillo archive
into /home/blah/
You will need to adjust this for later versions of Armadillo,
and/or if you have unpacked the armadillo archive into a different directory.
+Replace -lblas with -lopenblas if you have OpenBLAS.
+On Mac OS X, replace -lblas -llapack with -framework Accelerate
-Notes:
-
-* To use the high speed OpenBLAS library instead of BLAS,
- replace -lblas -llapack with -lopenblas -llapack
- To get OpenBLAS, see http://xianyi.github.com/OpenBLAS/
-
-* On most Linux-based systems, using -lblas -llapack should be enough;
- however, on Ubuntu and Debian you may need to add -lgfortran
-
-* On Mac OS X, replace -lblas -llapack with -framework Accelerate
-
-* If you have ARPACK present, also link with it by adding -larpack to the
command line
-
-* If you have SuperLU present, also link with it by adding -lsuperlu to the
command line
- Caveat: only SuperLU version 4.3 can be used!
-
-7: Windows: Installation
+8: Windows: Installation
========================
The installation is comprised of 3 steps:
@@ -271,7 +248,7 @@
-8: Windows: Compiling & Linking
+9: Windows: Compiling & Linking
===============================
Within the "examples" folder, we have included an MSVC project named
"example1_win64"
@@ -299,7 +276,6 @@
http://icl.cs.utk.edu/lapack-for-windows/lapack/
The OpenBLAS, MKL and ACML libraries are generally the fastest.
-See section 9 for more info on making Armadillo use these libraries.
For better performance, we recommend the following high-quality C++ compilers:
GCC from MinGW: http://www.mingw.org/
@@ -322,8 +298,8 @@
-9: Support for OpenBLAS, Intel MKL and AMD ACML
-===============================================
+10: Support for OpenBLAS, Intel MKL and AMD ACML
+================================================
Armadillo can use OpenBLAS, or Intel Math Kernel Library (MKL),
or the AMD Core Math Library (ACML) as high-speed replacements
@@ -370,7 +346,7 @@
-10: Support for ATLAS
+11: Support for ATLAS
=====================
Armadillo can use the ATLAS library for faster versions of
@@ -387,10 +363,10 @@
-11: Documentation / API Reference Manual
-========================================
+12: API Documentation
+=====================
-A reference manual (documentation of functions and classes) is available at:
+Documentation of functions and classes is available at:
http://arma.sourceforge.net/docs.html
@@ -399,7 +375,7 @@
-12: MEX Interface to Octave/Matlab
+13: MEX Interface to Octave/Matlab
==================================
The "mex_interface" folder contains examples of how to interface
@@ -407,7 +383,7 @@
-13: Bug Reports and Frequently Asked Questions
+14: Bug Reports and Frequently Asked Questions
==============================================
Answers to frequently asked questions can be found at:
@@ -429,7 +405,7 @@
-14: Related Software
+15: Related Software
====================
* MLPACK: C++ library for machine learning and pattern recognition, built on
top of Armadillo.
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/armadillo-6.500.4/docs.html
new/armadillo-6.500.5/docs.html
--- old/armadillo-6.500.4/docs.html 2016-01-26 04:26:18.000000000 +0100
+++ new/armadillo-6.500.5/docs.html 2016-02-10 08:38:09.000000000 +0100
@@ -144,8 +144,9 @@
<!-- -->
<a class="noprint" style="display:scroll; position:fixed; bottom:5px;
right:5px;" href="#top"><font size=-1>[top]</font></a>
+<big><b>API Documentation for Armadillo 6.500</b></big>
+<br>
<br>
-<center><font size=+1><b>API Reference for Armadillo 6.500</b></font></center>
<br>
@@ -167,7 +168,7 @@
</li>
<br>
<li>
-If you discover any bugs or regressions, please <a
href="http://arma.sourceforge.net/faq.html";>report them</a>
+If you discover any bugs or regressions, please <a
href="http://arma.sourceforge.net/support.html";>report them</a>
</li>
<br>
<li>
@@ -413,15 +414,14 @@
<tr style="background-color: #F5F5F5;"><td><a
href="#null">null</a></td><td> </td><td>orthonormal basis of null
space</td></tr>
<tr style="background-color: #F5F5F5;"><td><a
href="#orth">orth</a></td><td> </td><td>orthonormal basis of range
space</td></tr>
<tr><td><a
href="#pinv">pinv</a></td><td> </td><td>pseudo-inverse</td></tr>
-<tr><td><a href="#princomp">princomp</a></td><td> </td><td>principal
component analysis</td></tr>
<tr><td><a href="#qr">qr </a></td><td> </td><td>QR
decomposition</td></tr>
-<tr style="background-color: #F5F5F5;"><td><a
href="#qr_econ">qr_econ</a></td><td> </td><td>economical QR
decomposition</td></tr>
+<tr><td><a href="#qr_econ">qr_econ</a></td><td> </td><td>economical QR
decomposition</td></tr>
<tr style="background-color: #F5F5F5;"><td><a
href="#qz">qz </a></td><td> </td><td>generalised Schur
decomposition</td></tr>
<tr style="background-color: #F5F5F5;"><td><a
href="#schur">schur</a></td><td> </td><td>Schur decomposition</td></tr>
-<tr><td><a href="#solve">solve</a></td><td> </td><td>solve systems of
linear equations</td></tr>
+<tr style="background-color: #F5F5F5;"><td><a
href="#solve">solve</a></td><td> </td><td>solve systems of linear
equations</td></tr>
<tr><td><a href="#svd">svd</a></td><td> </td><td>singular value
decomposition</td></tr>
<tr><td><a href="#svd_econ">svd_econ</a></td><td> </td><td>economical
singular value decomposition</td></tr>
-<tr style="background-color: #F5F5F5;"><td><a
href="#syl">syl</a></td><td> </td><td>Sylvester equation solver</td></tr>
+<tr><td><a href="#syl">syl</a></td><td> </td><td>Sylvester equation
solver</td></tr>
</tbody>
</table>
</ul>
@@ -466,8 +466,9 @@
<tr style="background-color: #F5F5F5;"><td><a
href="#cor">cor</a></td><td> </td><td>correlation</td></tr>
<tr><td><a href="#hist">hist</a></td><td> </td><td>histogram of
counts</td></tr>
<tr><td><a href="#histc">histc</a></td><td> </td><td>histogram of counts
with user specified edges</td></tr>
-<tr style="background-color: #F5F5F5;"><td><a
href="#running_stat">running_stat</a></td><td> </td><td>running statistics
of a continuously sampled one dimensional process/signal</td></tr>
-<tr style="background-color: #F5F5F5;"><td><a
href="#running_stat_vec">running_stat_vec</a></td><td> </td><td>running
statistics of a continuously sampled multi-dimensional process/signal</td></tr>
+<tr><td><a href="#princomp">princomp</a></td><td> </td><td>principal
component analysis</td></tr>
+<tr style="background-color: #F5F5F5;"><td><a
href="#running_stat">running_stat</a></td><td> </td><td>running statistics
of one dimensional process/signal</td></tr>
+<tr style="background-color: #F5F5F5;"><td><a
href="#running_stat_vec">running_stat_vec</a></td><td> </td><td>running
statistics of multi-dimensional process/signal</td></tr>
<tr><td><a href="#kmeans">kmeans</a></td><td> </td><td>cluster data using
k-means algorithm</td></tr>
<tr><td><a href="#gmm_diag">gmm_diag</a></td><td> </td><td>model data as
a Gaussian Mixture Model (GMM)</td></tr>
</tbody>
@@ -10051,71 +10052,6 @@
</ul>
<div class="pagebreak"></div><div class="noprint"><hr
class="greyline"><br></div>
-<a name="princomp"></a>
-<b>mat coeff = princomp( mat X )</b>
-<br><b>cx_mat coeff = princomp( cx_mat X )</b><br>
-
-<br><b>princomp( mat coeff, mat X )</b>
-<br><b>princomp( cx_mat coeff, cx_mat X )</b><br>
-
-<br><b>princomp( mat coeff, mat score, mat X )</b>
-<br><b>princomp( cx_mat coeff, cx_mat score, cx_mat X )</b><br>
-
-<br><b>princomp( mat coeff, mat score, vec latent, mat X )</b>
-<br><b>princomp( cx_mat coeff, cx_mat score, vec latent, cx_mat X )</b><br>
-
-<br><b>princomp( mat coeff, mat score, vec latent, vec tsquared, mat X )</b>
-<br><b>princomp( cx_mat coeff, cx_mat score, vec latent, cx_vec tsquared,
cx_mat X )</b><br>
-<ul>
-<li>Principal component analysis of matrix <i>X</i></li><br>
-<li>Each row of <i>X</i> is an observation and each column is a
variable</li><br>
-<li>output objects:
-<ul>
-<li><i>coeff</i>: principal component coefficients</li>
-<li><i>score</i>: projected data</li>
-<li><i>latent</i>: eigenvalues of the covariance matrix of <i>X</i></li>
-<li><i>tsquared</i>: Hotteling's statistic for each sample</li>
-</ul>
-</li>
-<br>
-<li>
-The computation is based on singular value decomposition
-</li>
-<br>
-<li>If the decomposition fails:
-<ul>
-<li><i>coeff = princomp(X)</i> resets <i>coeff</i> and throws a
<i>std::runtime_error</i> exception</li>
-<li>remaining forms of <i>princomp()</i> reset all output matrices and return
a bool set to <i>false</i> (exception is not thrown)</li>
-</ul>
-</li>
-<br>
-<li>
-Examples:
-<ul>
-<pre>
-mat A = randu<mat>(5,4);
-
-mat coeff;
-mat score;
-vec latent;
-vec tsquared;
-
-princomp(coeff, score, latent, tsquared, A);
-</pre>
-</ul>
-</li>
-<br>
-<li>
-See also:
-<ul>
-<li><a
href="http://en.wikipedia.org/wiki/Principal_component_analysis";>principal
components analysis in Wikipedia</a></li>
-<li><a
href="http://mathworld.wolfram.com/PrincipalComponentAnalysis.html";>principal
components analysis in MathWorld</a></li>
-</ul>
-</li>
-<br>
-</ul>
-
-<div class="pagebreak"></div><div class="noprint"><hr
class="greyline"><br></div>
<a name="qr"></a>
<b>qr( Q, R, X )</b>
<ul>
@@ -11637,6 +11573,71 @@
</ul>
</li>
<br>
+</ul>
+
+<div class="pagebreak"></div><div class="noprint"><hr
class="greyline"><br></div>
+<a name="princomp"></a>
+<b>mat coeff = princomp( mat X )</b>
+<br><b>cx_mat coeff = princomp( cx_mat X )</b><br>
+
+<br><b>princomp( mat coeff, mat X )</b>
+<br><b>princomp( cx_mat coeff, cx_mat X )</b><br>
+
+<br><b>princomp( mat coeff, mat score, mat X )</b>
+<br><b>princomp( cx_mat coeff, cx_mat score, cx_mat X )</b><br>
+
+<br><b>princomp( mat coeff, mat score, vec latent, mat X )</b>
+<br><b>princomp( cx_mat coeff, cx_mat score, vec latent, cx_mat X )</b><br>
+
+<br><b>princomp( mat coeff, mat score, vec latent, vec tsquared, mat X )</b>
+<br><b>princomp( cx_mat coeff, cx_mat score, vec latent, cx_vec tsquared,
cx_mat X )</b><br>
+<ul>
+<li>Principal component analysis of matrix <i>X</i></li><br>
+<li>Each row of <i>X</i> is an observation and each column is a
variable</li><br>
+<li>output objects:
+<ul>
+<li><i>coeff</i>: principal component coefficients</li>
+<li><i>score</i>: projected data</li>
+<li><i>latent</i>: eigenvalues of the covariance matrix of <i>X</i></li>
+<li><i>tsquared</i>: Hotteling's statistic for each sample</li>
+</ul>
+</li>
+<br>
+<li>
+The computation is based on singular value decomposition
+</li>
+<br>
+<li>If the decomposition fails:
+<ul>
+<li><i>coeff = princomp(X)</i> resets <i>coeff</i> and throws a
<i>std::runtime_error</i> exception</li>
+<li>remaining forms of <i>princomp()</i> reset all output matrices and return
a bool set to <i>false</i> (exception is not thrown)</li>
+</ul>
+</li>
+<br>
+<li>
+Examples:
+<ul>
+<pre>
+mat A = randu<mat>(5,4);
+
+mat coeff;
+mat score;
+vec latent;
+vec tsquared;
+
+princomp(coeff, score, latent, tsquared, A);
+</pre>
+</ul>
+</li>
+<br>
+<li>
+See also:
+<ul>
+<li><a
href="http://en.wikipedia.org/wiki/Principal_component_analysis";>principal
components analysis in Wikipedia</a></li>
+<li><a
href="http://mathworld.wolfram.com/PrincipalComponentAnalysis.html";>principal
components analysis in MathWorld</a></li>
+</ul>
+</li>
+<br>
</ul>
<div class="pagebreak"></div><div class="noprint"><hr
class="greyline"><br></div>
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/armadillo-6.500.4/include/armadillo_bits/arma_ostream_meat.hpp
new/armadillo-6.500.5/include/armadillo_bits/arma_ostream_meat.hpp
--- old/armadillo-6.500.4/include/armadillo_bits/arma_ostream_meat.hpp
2015-11-10 05:42:43.000000000 +0100
+++ new/armadillo-6.500.5/include/armadillo_bits/arma_ostream_meat.hpp
2016-02-09 15:06:39.000000000 +0100
@@ -1,4 +1,4 @@
-// Copyright (C) 2008-2015 National ICT Australia (NICTA)
+// Copyright (C) 2008-2016 National ICT Australia (NICTA)
//
// This Source Code Form is subject to the terms of the Mozilla Public
// License, v. 2.0. If a copy of the MPL was not distributed with this
@@ -285,13 +285,17 @@
{
if(modify == true)
{
- const std::streamsize orig_precision = o.precision();
+ const ios::fmtflags save_flags = o.flags();
+ const std::streamsize save_precision = o.precision();
+ o.unsetf(ios::scientific);
+ o.setf(ios::fixed);
o.precision(0);
o << eT(0);
- o.precision(orig_precision);
+ o.flags(save_flags);
+ o.precision(save_precision);
}
else
{
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/armadillo-6.500.4/include/armadillo_bits/arma_version.hpp
new/armadillo-6.500.5/include/armadillo_bits/arma_version.hpp
--- old/armadillo-6.500.4/include/armadillo_bits/arma_version.hpp
2016-01-26 04:26:18.000000000 +0100
+++ new/armadillo-6.500.5/include/armadillo_bits/arma_version.hpp
2016-02-09 15:27:23.000000000 +0100
@@ -15,7 +15,7 @@
#define ARMA_VERSION_MAJOR 6
#define ARMA_VERSION_MINOR 500
-#define ARMA_VERSION_PATCH 4
+#define ARMA_VERSION_PATCH 5
#define ARMA_VERSION_NAME "Gourmet Electron Jumper"
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/armadillo-6.500.4/include/armadillo_bits/auxlib_bones.hpp
new/armadillo-6.500.5/include/armadillo_bits/auxlib_bones.hpp
--- old/armadillo-6.500.4/include/armadillo_bits/auxlib_bones.hpp
2016-01-21 13:52:04.000000000 +0100
+++ new/armadillo-6.500.5/include/armadillo_bits/auxlib_bones.hpp
2016-02-08 17:53:41.000000000 +0100
@@ -63,7 +63,7 @@
// inv_sympd
template<typename eT, typename T1>
- inline static bool inv_sympd(Mat<eT>& out, const Base<eT,T1>& X, const uword
layout);
+ inline static bool inv_sympd(Mat<eT>& out, const Base<eT,T1>& X);
//
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/armadillo-6.500.4/include/armadillo_bits/auxlib_meat.hpp
new/armadillo-6.500.5/include/armadillo_bits/auxlib_meat.hpp
--- old/armadillo-6.500.4/include/armadillo_bits/auxlib_meat.hpp
2016-01-21 14:10:36.000000000 +0100
+++ new/armadillo-6.500.5/include/armadillo_bits/auxlib_meat.hpp
2016-02-08 17:53:41.000000000 +0100
@@ -404,7 +404,7 @@
template<typename eT, typename T1>
inline
bool
-auxlib::inv_sympd(Mat<eT>& out, const Base<eT,T1>& X, const uword layout)
+auxlib::inv_sympd(Mat<eT>& out, const Base<eT,T1>& X)
{
arma_extra_debug_sigprint();
@@ -418,7 +418,7 @@
arma_debug_assert_blas_size(out);
- char uplo = (layout == 0) ? 'U' : 'L';
+ char uplo = 'L';
blas_int n = blas_int(out.n_rows);
blas_int info = 0;
@@ -430,14 +430,7 @@
arma_extra_debug_print("lapack::potri()");
lapack::potri(&uplo, &n, out.memptr(), &n, &info);
- if(layout == 0)
- {
- out = symmatu(out);
- }
- else
- {
- out = symmatl(out);
- }
+ out = symmatl(out);
return (info == 0);
}
@@ -445,7 +438,6 @@
{
arma_ignore(out);
arma_ignore(X);
- arma_ignore(layout);
arma_stop("inv_sympd(): use of LAPACK must be enabled");
return false;
}
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/armadillo-6.500.4/include/armadillo_bits/compiler_setup.hpp
new/armadillo-6.500.5/include/armadillo_bits/compiler_setup.hpp
--- old/armadillo-6.500.4/include/armadillo_bits/compiler_setup.hpp
2016-01-25 04:54:16.000000000 +0100
+++ new/armadillo-6.500.5/include/armadillo_bits/compiler_setup.hpp
2016-02-01 05:12:28.000000000 +0100
@@ -383,6 +383,7 @@
#pragma warning(push)
#pragma warning(disable: 4127) // conditional expression is constant
+ #pragma warning(disable: 4244) // possible loss of data when converting
types
#pragma warning(disable: 4510) // default constructor could not be generated
#pragma warning(disable: 4511) // copy constructor can't be generated
#pragma warning(disable: 4512) // assignment operator can't be generated
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/armadillo-6.500.4/include/armadillo_bits/fn_inv.hpp
new/armadillo-6.500.5/include/armadillo_bits/fn_inv.hpp
--- old/armadillo-6.500.4/include/armadillo_bits/fn_inv.hpp 2015-11-23
01:35:18.000000000 +0100
+++ new/armadillo-6.500.5/include/armadillo_bits/fn_inv.hpp 2016-02-08
17:53:41.000000000 +0100
@@ -1,4 +1,4 @@
-// Copyright (C) 2008-2015 National ICT Australia (NICTA)
+// Copyright (C) 2008-2016 National ICT Australia (NICTA)
//
// This Source Code Form is subject to the terms of the Mozilla Public
// License, v. 2.0. If a copy of the MPL was not distributed with this
@@ -250,7 +250,7 @@
{
arma_extra_debug_sigprint();
- return inv_sympd(X);
+ return inv_sympd(out,X);
}
@@ -267,7 +267,7 @@
{
arma_extra_debug_sigprint();
- return inv_sympd(X);
+ return inv_sympd(out,X);
}
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/armadillo-6.500.4/include/armadillo_bits/fn_misc.hpp
new/armadillo-6.500.5/include/armadillo_bits/fn_misc.hpp
--- old/armadillo-6.500.4/include/armadillo_bits/fn_misc.hpp 2015-12-13
17:41:43.000000000 +0100
+++ new/armadillo-6.500.5/include/armadillo_bits/fn_misc.hpp 2016-02-09
05:51:40.000000000 +0100
@@ -268,6 +268,8 @@
{
arma_extra_debug_sigprint();
+ arma_debug_warn("sympd() is deprecated and will be removed; change
inv(sympd(X)) to inv_sympd(X)");
+
return X.get_ref();
}
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/armadillo-6.500.4/include/armadillo_bits/op_inv_meat.hpp
new/armadillo-6.500.5/include/armadillo_bits/op_inv_meat.hpp
--- old/armadillo-6.500.4/include/armadillo_bits/op_inv_meat.hpp
2015-11-22 14:35:22.000000000 +0100
+++ new/armadillo-6.500.5/include/armadillo_bits/op_inv_meat.hpp
2016-02-08 17:53:41.000000000 +0100
@@ -143,7 +143,7 @@
{
arma_extra_debug_sigprint();
- const bool status = auxlib::inv_sympd(out, X.m, X.aux_uword_a);
+ const bool status = auxlib::inv_sympd(out, X.m);
if(status == false)
{
