added some pics, used by python tests, to samples/cpp. fixed python tests. fixed overflow on Core_Mul test

modules/core/src/arithm.cpp

@@ -988,9 +988,14 @@ void binary_op(InputArray _src1, InputArray _src2, OutputArray _dst,
             c = src1.channels();
         }
 
-        Size sz = getContinuousSize(src1, src2, dst, c);
-        func(src1.data, src1.step, src2.data, src2.step, dst.data, dst.step, sz, 0);
-        return;
+        Size sz = getContinuousSize(src1, src2, dst);
+        size_t len = sz.width*(size_t)c;
+        if( len == (size_t)(int)len )
+        {
+            sz.width = (int)len;
+            func(src1.data, src1.step, src2.data, src2.step, dst.data, dst.step, sz, 0);
+            return;
+        }
     }
 
     if( (kind1 == _InputArray::MATX) + (kind2 == _InputArray::MATX) == 1 ||
@@ -1045,6 +1050,9 @@ void binary_op(InputArray _src1, InputArray _src2, OutputArray _dst,
         NAryMatIterator it(arrays, ptrs);
         size_t total = it.size, blocksize = total;
 
+        if( blocksize*c > INT_MAX )
+            blocksize = INT_MAX/c;
+        
         if( haveMask )
         {
             blocksize = std::min(blocksize, blocksize0);

modules/core/test/test_arithm.cpp

@@ -195,6 +195,13 @@ struct AddWeightedOp : public BaseAddOp
 struct MulOp : public BaseElemWiseOp
 {
     MulOp() : BaseElemWiseOp(2, FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {};
+    void getValueRange(int depth, double& minval, double& maxval)
+    {
+        minval = depth < CV_32S ? cvtest::getMinVal(depth) : depth == CV_32S ? -1000000 : -1000.;
+        maxval = depth < CV_32S ? cvtest::getMaxVal(depth) : depth == CV_32S ? 1000000 : 1000.;
+        minval = std::max(minval, -30000.);
+        maxval = std::min(maxval, 30000.);
+    }
     void op(const vector<Mat>& src, Mat& dst, const Mat&)
     {
         cv::multiply(src[0], src[1], dst, alpha);

modules/python/test/test.py

@@ -659,7 +659,7 @@ class FunctionTests(OpenCVTests):
         self.assert_(li[0] != None)
 
     def test_InPaint(self):
-        src = self.get_sample("doc/pics/building.jpg")
+        src = self.get_sample("samples/cpp/building.jpg")
         msk = cv.CreateImage(cv.GetSize(src), cv.IPL_DEPTH_8U, 1)
         damaged = cv.CloneMat(src)
         repaired = cv.CreateImage(cv.GetSize(src), cv.IPL_DEPTH_8U, 3)
@@ -866,7 +866,7 @@ class FunctionTests(OpenCVTests):
 
     def yield_line_image(self):
         """ Needed by HoughLines tests """
-        src = self.get_sample("doc/pics/building.jpg", 0)
+        src = self.get_sample("samples/cpp/building.jpg", 0)
         dst = cv.CreateImage(cv.GetSize(src), 8, 1)
         cv.Canny(src, dst, 50, 200, 3)
         return dst
@@ -2104,7 +2104,7 @@ class DocumentFragmentTests(OpenCVTests):
     """ Test the fragments of code that are included in the documentation """
     def setUp(self):
         OpenCVTests.setUp(self)
-        sys.path.append("../doc/python_fragments")
+        sys.path.append(".")
 
     def test_precornerdetect(self):
         from precornerdetect import precornerdetect
@@ -2118,7 +2118,7 @@ class DocumentFragmentTests(OpenCVTests):
 
     def test_findstereocorrespondence(self):
         from findstereocorrespondence import findstereocorrespondence
-        (l,r) = [self.get_sample("doc/pics/tsukuba_%s.png" % c, cv.CV_LOAD_IMAGE_GRAYSCALE) for c in "lr"]
+        (l,r) = [self.get_sample("samples/cpp/tsukuba_%s.png" % c, cv.CV_LOAD_IMAGE_GRAYSCALE) for c in "lr"]
 
         (disparity_left, disparity_right) = findstereocorrespondence(l, r)
 
@@ -2129,7 +2129,7 @@ class DocumentFragmentTests(OpenCVTests):
     def test_calchist(self):
         from calchist import hs_histogram
         i1 = self.get_sample("samples/c/lena.jpg")
-        i2 = self.get_sample("doc/pics/building.jpg")
+        i2 = self.get_sample("samples/cpp/building.jpg")
         i3 = cv.CloneMat(i1)
         cv.Flip(i3, i3, 1)
         h1 = hs_histogram(i1)