Removing trailing whitespace and expanded tabs

modules/matlab/generator/templates/functional.cpp

@@ -1,4 +1,4 @@
-/* 
+/*
  * compose
  * compose a function call
  * This macro takes as input a Method object and composes
@@ -11,23 +11,23 @@
   {%- if fun.clss and not fun.constructor -%}inst.{%- else -%} cv:: {%- endif -%}
   {{fun.name}}(
   {#- ----------- Required ------------- -#}
-  {%- for arg in fun.req -%} 
+  {%- for arg in fun.req -%}
     {%- if arg.ref == '*' -%}&{%- endif -%}
-    {{arg.name}} 
+    {{arg.name}}
     {%- if not loop.last %}, {% endif %}
   {% endfor %}
   {#- ----------- Optional ------------- -#}
   {% if fun.req and fun.opt %}, {% endif %}
-  {%- for opt in fun.opt -%} 
+  {%- for opt in fun.opt -%}
     {%- if opt.ref == '*' -%}&{%- endif -%}
-    {{opt.name}} 
+    {{opt.name}}
     {%- if not loop.last -%}, {% endif %}
   {%- endfor -%}
   );
 {%- endmacro %}
 
 
-/* 
+/*
  * composeMatlab
  * compose a Matlab function call
  * This macro takes as input a Method object and composes

modules/matlab/generator/templates/template_build_info.m

@@ -3,7 +3,7 @@ function buildInformation()
 %
 %   Call CV.BUILDINFORMATION() to get a printout of diagonstic information
 %   pertaining to your particular build of the OpenCV Toolbox. If you ever
-%   run into issues with the Toolbox, it is useful to submit this 
+%   run into issues with the Toolbox, it is useful to submit this
 %   information alongside a bug report to the OpenCV team.
 %
 %   Copyright {{ time.strftime("%Y", time.localtime()) }} The OpenCV Foundation
@@ -23,7 +23,7 @@ info = {
 ['  Version:       ' version()]
 ['  Mex extension: ' mexext()]
 '  Architecture:  {{ build.mex_arch }}'
-'  Mex path:      {{ build.mex_script }}' 
+'  Mex path:      {{ build.mex_script }}'
 '  Mex flags:     {{ build.mex_opts | csv(' ') }}'
 '  CXX flags:     {{ build.cxx_flags | csv(' ') | stripExtraSpaces | wordwrap(60, True, '\'\n\'                 ') }}'
 ''

modules/matlab/generator/templates/template_class_base.cpp

@@ -3,7 +3,7 @@
  * file:   {{clss.name}}Bridge.cpp
  * author: A trusty code generator
  * date:   {{time.strftime("%a, %d %b %Y %H:%M:%S", time.localtime())}}
- * 
+ *
  * This file was autogenerated, do not modify.
  * See LICENSE for full modification and redistribution details.
  * Copyright {{time.strftime("%Y", time.localtime())}} The OpenCV Foundation
@@ -56,7 +56,7 @@ static const Map<std::string, MethodSignature> methods = createMethodMap();
 // map of created {{clss.name}} instances. Don't trust the user to keep them safe...
 static Map<void *, {{clss.name}}> instances;
 
-/* 
+/*
  * {{ clss.name }}
  * Gateway routine
  *   nlhs - number of return arguments

modules/matlab/generator/templates/template_class_base.m

@@ -8,7 +8,7 @@ classdef {{clss.name}} < handle
   properties (SetAccess = private, Hidden = true)
     ptr_ = 0; % handle to the underlying c++ clss instance
   end
-  
+
   methods
     % constructor
     function this = {{clss.name}}(varargin)

modules/matlab/generator/templates/template_cvmex_base.m

@@ -5,16 +5,16 @@ function mex(varargin)
 %       CV.MEX [options ...] file [file file ...]
 %
 %   Description:
-%       CV.MEX compiles one or more C/C++ source files into a shared-library 
+%       CV.MEX compiles one or more C/C++ source files into a shared-library
 %       called a mex-file. This function is equivalent to the builtin MEX
 %       routine, with the notable exception that it automatically resolves
-%       OpenCV includes, and links in the OpenCV libraries where appropriate. 
+%       OpenCV includes, and links in the OpenCV libraries where appropriate.
 %       It also forwards the flags used to build OpenCV, so architecture-
 %       specific optimizations can be used.
 %
 %       CV.MEX is designed to be used in situations where the source(s) you
 %       are compiling contain OpenCV definitions. In such cases, it streamlines
-%       the finding and including of appropriate OpenCV libraries. 
+%       the finding and including of appropriate OpenCV libraries.
 %
 %   See also: mex
 %

modules/matlab/generator/templates/template_function_base.cpp

@@ -3,7 +3,7 @@
  * file:   {{fun.name}}.cpp
  * author: A trusty code generator
  * date:   {{time.strftime("%a, %d %b %Y %H:%M:%S", time.localtime())}}
- * 
+ *
  * This file was autogenerated, do not modify.
  * See LICENSE for full modification and redistribution details.
  * Copyright {{time.strftime("%Y", time.localtime())}} The OpenCV Foundation
@@ -18,7 +18,7 @@ using namespace cv;
 using namespace matlab;
 using namespace bridge;
 
-/* 
+/*
  * {{ fun.name }}
  * {{ fun }}
  * Gateway routine
@@ -58,4 +58,3 @@ void mexFunction(int nlhs, mxArray*{% if fun|noutputs %} plhs[]{% else %}*{% end
   }
   {% endif %}
 }
-

modules/matlab/generator/templates/template_map_base.m

@@ -4,11 +4,11 @@
 % ------------------------------------------------------------------------
 %
 % The OpenCV Toolbox allows you to make calls to native OpenCV methods
-% and classes directly from within Matlab. 
+% and classes directly from within Matlab.
 %
 % <strong>PATHS</strong>
 % To call OpenCV methods from anywhere in your workspace, add the
-% directory containing this file to the path: 
+% directory containing this file to the path:
 %
 %     addpath(fileparts(which('cv')));
 %
@@ -37,18 +37,18 @@
 %
 % <strong>HELP</strong>
 % Each method has its own help file containing information about the
-% arguments, return values, and what operation the method performs. 
+% arguments, return values, and what operation the method performs.
 % You can access this help information by typing:
-%   
+%
 %     help cv.methodName
 %
-% The full list of methods can be found by inspecting the +cv/ 
+% The full list of methods can be found by inspecting the +cv/
 % directory. Note that the methods available to you will depend
 % on which modules you configured OpenCV to build.
 %
 % <strong>DIAGNOSTICS</strong>
-% If you are having problems with the OpenCV Toolbox and need to send a 
-% bug report to the OpenCV team, you can get a printout of diagnostic 
+% If you are having problems with the OpenCV Toolbox and need to send a
+% bug report to the OpenCV team, you can get a printout of diagnostic
 % information to submit along with your report by typing:
 %
 %     <a href="matlab: cv.buildInformation()">cv.buildInformation();</a>