switch upstream git repo owner to NeuroJSON org

NeuroJSON · Aug 22, 2022 · 290a46c · 290a46c
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diff --git a/AUTHORS.txt b/AUTHORS.txt
@@ -8,7 +8,7 @@ Address: Dept. of Bioengineering
 URL: http://fanglab.org
 Email: <q.fang at neu.edu>
 
-ZMAT Website : https://github.com/fangq/zmat
+ZMAT Website : https://github.com/NeuroJSON/zmat
 
 
 

diff --git a/README.rst b/README.rst
@@ -1,11 +1,16 @@
+.. image:: https://neurojson.org/wiki/upload/neurojson_banner_long.png
+
 ##############################################################################                                                      
-ZMAT: A portable C-library and MATLAB toolbox for zlib/gzip/lzma/lz4/lz4hc data compression
+ZMAT: A portable C-library and MATLAB/Octave toolbox for zlib/gzip/lzma/lz4/lz4hc data compression
 ##############################################################################
 
 * Copyright (C) 2019,2020,2022  Qianqian Fang <q.fang at neu.edu>
 * License: GNU General Public License version 3 (GPL v3), see License*.txt
 * Version: 0.9.9 (Archie-the-goat - RC1)
-* URL: http://github.com/fangq/zmat
+* URL: https://github.com/NeuroJSON/zmat
+* Acknowledgement: This project is part of the `NeuroJSON project <https://neurojson.org>`_
+  supported by US National Institute of Health (NIH)
+  grant `U24-NS124027 <https://reporter.nih.gov/project-details/10308329>`_
 
 .. image:: https://travis-ci.com/fangq/zmat.svg?branch=master
     :target: https://travis-ci.com/fangq/zmat
@@ -71,15 +76,19 @@ variables ``LD_LIBRARY_PATH`` or ``DYLD_LIBRARY_PATH``, respectively).
 The pre-compiled mex binaries for MATLAB are stored inside the 
 subfolder named ``private``. Those precompiled for GNU Octave are
 stored in the subfolder named ``octave``, with one operating system
-per subfolder.
+per subfolder. The ``PKG_ADD`` script should automatically select
+the correct mex file when one types ``addpath`` in Octave.
+These precompiled mex files are expected to run out-of-box
+across a wide-range of MATLAB (tested as old as R2008) and Octave (tested
+as old as v3.8).
 
 If you do not want to compile zmat yourself, you can download the
 precompiled package by either clicking on the "Download ZIP" button
 on the above URL, or use the below git command:
 
 .. code:: shell
 
-    git clone https://github.com/fangq/zmat.git
+    git clone https://github.com/NeuroJSON/zmat.git
 
 ================
 Installation
@@ -231,7 +240,7 @@ zmat.m
     ss=char(zmat('zmat test',1,'base64'))
     orig=char(zmat(ss,0,'base64'))
  
-  -- this function is part of the zmat toolbox (http://github.com/fangq/zmat)
+  -- this function is part of the zmat toolbox (http://github.com/NeuroJSON/zmat)
 
 ---------
 examples
@@ -267,7 +276,7 @@ command
 
 .. code:: shell
 
-      git clone https://github.com/fangq/zmat.git zmat
+      git clone https://github.com/NeuroJSON/zmat.git zmat
 
 Next, you need to make sure your system has ``gcc``, ``g++``,
 ``mex`` and ``mkoctfile`` (if compiling for Octave is needed). If not, 
@@ -372,13 +381,13 @@ following command:
 
 .. code:: shell
 
-      git clone https://github.com/fangq/zmat.git zmat
+      git clone https://github.com/NeuroJSON/zmat.git zmat
 
 or browsing the github site at
 
 .. code:: shell
 
-      https://github.com/fangq/zmat
+      https://github.com/NeuroJSON/zmat
  
 
 You can make changes to the files as needed. Once you are satisfied with your

diff --git a/example/c/testzmat.c b/example/c/testzmat.c
@@ -2,7 +2,7 @@
 **  \mainpage ZMat - A portable C-library and MATLAB/Octave toolbox for inline data compression
 **
 **  \author Qianqian Fang <q.fang at neu.edu>
-**  \copyright Qianqian Fang, 2019-2020
+**  \copyright Qianqian Fang, 2019,2020,2022
 **
 **  Demo on how to use zmatlib for simple compression and decompression in C
 **

diff --git a/include/zmatlib.h b/include/zmatlib.h
@@ -2,7 +2,7 @@
 **  \mainpage ZMat - A portable C-library and MATLAB/Octave toolbox for inline data compression
 **
 **  \author Qianqian Fang <q.fang at neu.edu>
-**  \copyright Qianqian Fang, 2019-2020
+**  \copyright Qianqian Fang, 2019,2020,2022
 **
 **  ZMat provides an easy-to-use interface for stream compression and decompression.
 **
@@ -17,6 +17,9 @@
 **     - lz4 and lz4hc : real-time compression based on LZ4 and LZ4HC algorithms
 **     - base64        : base64 encoding and decoding
 **
+**  ZMat is part of the NeuroJSON project (https://neurojson.org)
+**  More information can be found at https://github.com/NeuroJSON/zmat
+**
 **  Depencency: ZLib library: https://www.zlib.net/
 **  author: (C) 1995-2017 Jean-loup Gailly and Mark Adler
 **

diff --git a/src/zmat.cpp b/src/zmat.cpp
@@ -2,7 +2,7 @@
 **  \mainpage ZMat - A portable C-library and MATLAB/Octave toolbox for inline data compression
 **
 **  \author Qianqian Fang <q.fang at neu.edu>
-**  \copyright Qianqian Fang, 2019-2020
+**  \copyright Qianqian Fang, 2019,2020,2022
 **
 **  ZMat provides an easy-to-use interface for stream compression and decompression.
 **
@@ -17,6 +17,9 @@
 **     - lz4 and lz4hc : real-time compression based on LZ4 and LZ4HC algorithms
 **     - base64        : base64 encoding and decoding
 **
+**  ZMat is part of the NeuroJSON project (https://neurojson.org)
+**  More information can be found at https://github.com/NeuroJSON/zmat
+**
 **  Depencency: ZLib library: https://www.zlib.net/
 **  author: (C) 1995-2017 Jean-loup Gailly and Mark Adler
 **

diff --git a/test/run_zmat_test.m b/test/run_zmat_test.m
@@ -19,7 +19,7 @@ function run_zmat_test(tests)
 % license:
 %     BSD or GPL version 3, see LICENSE_{BSD,GPLv3}.txt files for details
 %
-% -- this function is part of ZMat toolbox (https://github.com/fangq/zmat)
+% -- this function is part of ZMat toolbox (https://github.com/NeuroJSON/zmat)
 %
 
 if (nargin == 0)

diff --git a/zmat.m b/zmat.m
@@ -57,7 +57,7 @@
 %   ss=char(zmat('zmat test',1,'base64'))
 %   orig=char(zmat(ss,0,'base64'))
 %
-% -- this function is part of the ZMAT toolbox (http://github.com/fangq/zmat)
+% -- this function is part of the ZMAT toolbox (https://github.com/NeuroJSON/zmat)
 %
 
 if (exist('zipmat') ~= 3 && exist('zipmat') ~= 2)