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diff --git a/contrib/python/matplotlib/py2/extern/agg24-svn/include/agg_simul_eq.h b/contrib/python/matplotlib/py2/extern/agg24-svn/include/agg_simul_eq.h
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+//----------------------------------------------------------------------------
+// Anti-Grain Geometry - Version 2.4
+// Copyright (C) 2002-2005 Maxim Shemanarev (http://www.antigrain.com)
+//
+// Permission to copy, use, modify, sell and distribute this software 
+// is granted provided this copyright notice appears in all copies. 
+// This software is provided "as is" without express or implied
+// warranty, and with no claim as to its suitability for any purpose.
+//
+//----------------------------------------------------------------------------
+// Contact: mcseem@antigrain.com
+//          mcseemagg@yahoo.com
+//          http://www.antigrain.com
+//----------------------------------------------------------------------------
+//
+// Solving simultaneous equations
+//
+//----------------------------------------------------------------------------
+#ifndef AGG_SIMUL_EQ_INCLUDED
+#define AGG_SIMUL_EQ_INCLUDED
+
+#include <math.h>
+#include "agg_basics.h"
+
+namespace agg
+{
+
+    //=============================================================swap_arrays
+    template<class T> void swap_arrays(T* a1, T* a2, unsigned n)
+    {
+        unsigned i;
+        for(i = 0; i < n; i++)
+        {
+            T tmp = *a1;
+            *a1++ = *a2;
+            *a2++ = tmp;
+        }
+    }
+
+
+    //============================================================matrix_pivot
+    template<unsigned Rows, unsigned Cols>
+    struct matrix_pivot
+    {
+        static int pivot(double m[Rows][Cols], unsigned row)
+        {
+            int k = int(row);
+            double max_val, tmp;
+
+            max_val = -1.0;
+            unsigned i;
+            for(i = row; i < Rows; i++)
+            {
+                if((tmp = fabs(m[i][row])) > max_val && tmp != 0.0)
+                {
+                    max_val = tmp;
+                    k = i;
+                }
+            }
+
+            if(m[k][row] == 0.0)
+            {
+                return -1;
+            }
+
+            if(k != int(row))
+            {
+                swap_arrays(m[k], m[row], Cols);
+                return k;
+            }
+            return 0;
+        }
+    };
+    
+
+
+    //===============================================================simul_eq
+    template<unsigned Size, unsigned RightCols>
+    struct simul_eq
+    {
+        static bool solve(const double left[Size][Size], 
+                          const double right[Size][RightCols],
+                          double result[Size][RightCols])
+        {
+            unsigned i, j, k;
+            double a1;
+
+            double tmp[Size][Size + RightCols];
+
+            for(i = 0; i < Size; i++)
+            {
+                for(j = 0; j < Size; j++)
+                {
+                    tmp[i][j] = left[i][j];
+                } 
+                for(j = 0; j < RightCols; j++)
+                {
+                    tmp[i][Size + j] = right[i][j];
+                }
+            }
+
+            for(k = 0; k < Size; k++)
+            {
+                if(matrix_pivot<Size, Size + RightCols>::pivot(tmp, k) < 0)
+                {
+                    return false; // Singularity....
+                }
+
+                a1 = tmp[k][k];
+
+                for(j = k; j < Size + RightCols; j++)
+                {
+                    tmp[k][j] /= a1;
+                }
+
+                for(i = k + 1; i < Size; i++)
+                {
+                    a1 = tmp[i][k];
+                    for (j = k; j < Size + RightCols; j++)
+                    {
+                        tmp[i][j] -= a1 * tmp[k][j];
+                    }
+                }
+            }
+
+
+            for(k = 0; k < RightCols; k++)
+            {
+                int m;
+                for(m = int(Size - 1); m >= 0; m--)
+                {
+                    result[m][k] = tmp[m][Size + k];
+                    for(j = m + 1; j < Size; j++)
+                    {
+                        result[m][k] -= tmp[m][j] * result[j][k];
+                    }
+                }
+            }
+            return true;
+        }
+
+    };
+
+
+}
+
+#endif