Fix numpy test failing due to new vpArray2d constructor

Author: SamFlt

modules/core/include/visp3/core/vpArray2D.h

@@ -223,11 +223,23 @@ template <class Type> class vpArray2D
       resize(r, c, false, false);
     }
     else if (c == 0) {
+      if (r != vec.size()) {
+        throw(vpException(vpException::dimensionError,
+                          "Cannot initialize vpArray(%d, %d) from std::vector(%d). Wrong dimension", r, c, vec.size()));
+      }
       resize(static_cast<unsigned int>(vec.size()), 1, false, false);
     }
     else if (r == 0) {
+      if (c != vec.size()) {
+        throw(vpException(vpException::dimensionError,
+                          "Cannot initialize vpArray(%d, %d) from std::vector(%d). Wrong dimension", r, c, vec.size()));
+      }
       resize(1, static_cast<unsigned int>(vec.size()), false, false);
     }
+    else {
+      throw(vpException(vpException::dimensionError,
+                        "Cannot initialize vpArray(%d, %d) from std::vector(%d). Wrong dimension", r, c, vec.size()));
+    }
 #if ((__cplusplus >= 201103L) || (defined(_MSVC_LANG) && (_MSVC_LANG >= 201103L))) // Check if cxx11 or higher
     std::copy(vec.begin(), vec.end(), data);
 #else

modules/python/test/test_numpy_array.py

@@ -76,9 +76,17 @@ def test_numpy_constructor():
     a = ArrayDouble2D(n_invalid)
   n_valid = np.array([[1, 2, 3], [4, 5, 6]])
   a = ArrayDouble2D(n_valid)
-
   assert np.all(np.equal(a.numpy(), n_valid))
 
+def test_numpy_constructor_interpreted_as_1d_vector():
+  n_1d = np.array([1, 2, 3])
+  with pytest.raises(RuntimeError):
+    a = ArrayDouble2D(n_1d) # R = 0, c = 0
+  ar = ArrayDouble2D(n_1d, r=len(n_1d))
+  ac = ArrayDouble2D(n_1d, c=len(n_1d))
+
+
+
 def test_numpy_conversion_and_back():
   a = ArrayDouble2D(10, 10, 2.0)
   a_np = a.numpy().copy()