[doc] fix README.rst formatting issues

Author: fangq

README.rst

@@ -56,7 +56,7 @@ new features include
 5. dynamically cache linked data files (``jsoncache``, ``jdlink``) to permit on-demand download and 
    processing of complex JSON-encoded datasets such as neuroimaging datasets hosted on https://neurojson.io
 6. support high-performance Blosc2 meta-compressor for storing large N-D array data,
-7. ``savejson/loadjson`` can use MATLAB/Octave built-in ``jsonencode/jsondecode`` using the `BuiltinJSON` option
+7. ``savejson/loadjson`` can use MATLAB/Octave built-in ``jsonencode/jsondecode`` using the ``BuiltinJSON`` option
 8. automatically switch from struct to containers.Map when encoded key-length exceeds 63
 9. provide fall-back zlib/gzip compression/decompression function on Octave when ZMat is not installed
 
@@ -204,13 +204,13 @@ following breaking differences:
 To avoid using the new features, one should attach ``'UBJSON',1`` and ``'Endian','B'``
 in the ``savebj`` command as
 
-.. code-block:: matlab
+.. code-block::
 
    savebj('',data,'FileName','myfile.bjd','UBJSON',1, 'Endian','B');
 
 To read BJData data files generated by JSONLab v2.0, you should call
 
-.. code-block:: matlab
+.. code-block::
 
    data=loadbj('my_old_data_file.bjd','Endian','B')
 
@@ -305,9 +305,9 @@ MATLAB running in the ``-nojvm`` mode or GNU Octave, or 'lzma/lzip/lz4/lz4hc'
 compression methods are specified. ZMat can also compress large arrays that 
 MATLAB's Java-based compression API does not support.
 
-----------
+-------------------------------------
 Install JSONLab on Fedora 24 or later
-----------
+-------------------------------------
 
 JSONLab has been available as an official Fedora package since 2015. You may
 install it directly using the below command
@@ -324,9 +324,9 @@ To enable data compression/decompression, you need to install ``octave-zmat`` us
    
 Then open Octave, and type ``pkg load jsonlab`` to enable jsonlab toolbox.
 
-----------
+-------------------------
 Install JSONLab on Debian
-----------
+-------------------------
 
 JSONLab is currently available on Debian Bullseye. To install, you may run
 
@@ -336,9 +336,9 @@ JSONLab is currently available on Debian Bullseye. To install, you may run
 
 One can alternatively install ``matlab-jsonlab`` if MATLAB is available.
 
-----------
+-------------------------
 Install JSONLab on Ubuntu
-----------
+-------------------------
 
 JSONLab is currently available on Ubuntu 21.04 or newer as package
 `octave-jsonlab`. To install, you may run
@@ -366,9 +366,9 @@ to add this PPA, and then use
 
 to install the toolbox. ``octave-zmat`` will be automatically installed.
 
-----------
+------------------------------
 Install JSONLab on Arch Linux
-----------
+------------------------------
 
 JSONLab is also available on Arch Linux. You may install it using the below command
 
@@ -412,7 +412,7 @@ core functions for encoding/decoding JSON/UBJSON/MessagePack data.
 savejson.m
 ----------
 
-.. code-block:: matlab
+.. code-block::
 
        jsonmesh=struct('MeshNode',[0 0 0;1 0 0;0 1 0;1 1 0;0 0 1;1 0 1;0 1 1;1 1 1],... 
                 'MeshElem',[1 2 4 8;1 3 4 8;1 2 6 8;1 5 6 8;1 5 7 8;1 3 7 8],...
@@ -434,29 +434,29 @@ savejson.m
 loadjson.m
 ----------
 
-.. code-block:: matlab
+.. code-block::
 
        loadjson('{}')
        dat=loadjson('{"obj":{"string":"value","array":[1,2,3]}}')
        dat=loadjson(['examples' filesep 'example1.json'])
        dat=loadjson(['examples' filesep 'example1.json'],'SimplifyCell',0)
 
--------------
+-------------------------------------
 savebj.m (saveubjson.m as an alias)
--------------
+-------------------------------------
 
-.. code-block:: matlab
+.. code-block::
 
        a={single(rand(2)), struct('va',1,'vb','string'), 1+2i};
        savebj(a)
        savebj('rootname',a,'testdata.ubj')
        savebj('zeros',zeros(100),'Compression','gzip')
 
--------------
+-------------------------------------
 loadbj.m (loadubjson.m as an alias)
--------------
+-------------------------------------
 
-.. code-block:: matlab
+.. code-block::
 
        obj=struct('string','value','array',single([1 2 3]),'empty',[],'magic',uint8(magic(5)));
        ubjdata=savebj('obj',obj);
@@ -465,20 +465,20 @@ loadbj.m (loadubjson.m as an alias)
        isequaln(obj,dat.obj)
        dat=loadbj(savebj('',eye(10),'Compression','zlib','CompressArraySize',1))
 
-----------
+-------------
 jdataencode.m
-----------
+-------------
 
-.. code-block:: matlab
+.. code-block::
 
       jd=jdataencode(struct('a',rand(5)+1i*rand(5),'b',[],'c',sparse(5,5)))
       savejson('',jd)
 
-----------
+-------------
 jdatadecode.m
-----------
+-------------
 
-.. code-block:: matlab
+.. code-block::
 
       rawdata=struct('a',rand(5)+1i*rand(5),'b',[],'c',sparse(5,5));
       jd=jdataencode(rawdata)
@@ -501,19 +501,19 @@ and ``loadubjson`` functions for various matlab data structures, and
 Please run these examples and understand how JSONLab works before you use
 it to process your data.
 
----------
+------------
 unit testing
----------
+------------
 
 Under the ``test`` folder, you can find a script to test individual data types and
 inputs using various encoders and decoders. This unit testing script also serves as
 a **specification validator** to the JSONLab functions and ensure that the outputs
 are compliant to the underlying specifications.
 
 
-================
+========================================
 Using ``jsave/jload`` to share workspace
-================
+========================================
 
 Starting from JSONLab v2.0, we provide a pair of functions, ``jsave/jload`` to store
 and retrieve variables from the current workspace, similar to the ``save/load`` 
@@ -541,7 +541,7 @@ The main benefits of using .pmat file to share matlab variables include
 jsave.m
 ----------
 
-.. code-block:: matlab
+.. code-block::
 
       jsave    % save the current workspace to default.pmat
       jsave mydata.pmat
@@ -553,7 +553,7 @@ jsave.m
 jload.m
 ----------
 
-.. code-block:: matlab
+.. code-block::
 
       jload    % load variables from default.pmat to the current workspace
       jload mydata.pmat   % load variables from mydata.pmat
@@ -562,9 +562,9 @@ jload.m
       jload('mydata.json')
 
 
-================
+================================================
 Sharing JSONLab created data files in Python
-================
+================================================
 
 Despite the use of portable data annotation defined by the JData Specification, 
 the output JSON files created by JSONLab are 100% JSON compatible (with
@@ -615,7 +615,7 @@ The above modules require built-in Python modules ``json`` and NumPy (``numpy``)
 
 Once the necessary modules are installed, one can type ``python`` (or ``python3``), and run
 
-.. code-block:: python
+.. code-block::
 
       import jdata as jd
       import numpy as np
@@ -710,9 +710,9 @@ mailing list to report any questions you may have regarding JSONLab:
 Acknowledgement
 ==========================
 
----------
+----------
 loadjson.m
----------
+----------
 
 The ``loadjson.m`` function was significantly modified from the earlier parsers 
 (BSD 3-clause licensed) written by the below authors
@@ -725,9 +725,9 @@ The ``loadjson.m`` function was significantly modified from the earlier parsers
     http://www.mathworks.com/matlabcentral/fileexchange/20565
     created on 2008/07/03
 
----------
+-------------
 loadmsgpack.m
----------
+-------------
 
 * Author: Bastian Bechtold
 * URL: https://github.com/bastibe/matlab-msgpack/blob/master/parsemsgpack.m
@@ -761,9 +761,9 @@ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
 OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
----------
+---------------------------------------------------------------------------------------
 zlibdecode.m, zlibencode.m, gzipencode.m, gzipdecode.m, base64encode.m, base64decode.m
----------
+---------------------------------------------------------------------------------------
 
 * Author: Kota Yamaguchi
 * URL: https://www.mathworks.com/matlabcentral/fileexchange/39526-byte-encoding-utilities