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[tools/medcoupling.git] / src / MEDCoupling_Swig / MEDCouplingNumPyTest.py
index 3fbc1488a080b8db3ace78892b79fea8b0e110e6..ff554a0b8b89be12d132ec871d6f01bb9882415f 100644 (file)
@@ -1,5 +1,5 @@
 #  -*- coding: iso-8859-1 -*-
-# Copyright (C) 2007-2015  CEA/DEN, EDF R&D
+# Copyright (C) 2007-2020  CEA/DEN, EDF R&D
 #
 # This library is free software; you can redistribute it and/or
 # modify it under the terms of the GNU Lesser General Public
 # See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
 #
 
-from MEDCoupling import *
+
+import sys
+if sys.platform == "win32":
+    from MEDCouplingCompat import *
+else:
+    from medcoupling import *
 
 if MEDCouplingHasNumPyBindings():
     from numpy import *
@@ -41,10 +46,10 @@ class MEDCouplingNumPyTest(unittest.TestCase):
         a=a.cumsum(dtype=int32)
         a=array(a,dtype=int64) ; a=array(a,dtype=int32)
         self.assertEqual(getrefcount(a),2)
-        d=DataArrayInt(a)
+        d=DataArrayInt32(a)
         d[:]=2
         #
-        e=DataArrayInt(sz) ; e.fillWithValue(2)
+        e=DataArrayInt32(sz) ; e.fillWithValue(2)
         self.assertTrue(d.isEqual(e))
         #
         a[:]=4 ; e.fillWithValue(4)
@@ -61,9 +66,9 @@ class MEDCouplingNumPyTest(unittest.TestCase):
         self.assertEqual(getrefcount(a),3)
         self.assertEqual(getrefcount(b),2)
         b[:]=5
-        d=DataArrayInt(b)
+        d=DataArrayInt32(b)
         #
-        e=DataArrayInt(sz*2) ; e.fillWithValue(5)
+        e=DataArrayInt32(sz*2) ; e.fillWithValue(5)
         self.assertTrue(d.isEqual(e))
         pass
     
@@ -76,16 +81,16 @@ class MEDCouplingNumPyTest(unittest.TestCase):
         c=a.reshape(2,sz)
         b[:]=6
         b[7:17]=7
-        d=DataArrayInt(b)
-        self.assertTrue(d.isEqual(DataArrayInt([6,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,7,6,6,6])))
+        d=DataArrayInt32(b)
+        self.assertTrue(d.isEqual(DataArrayInt32([6,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,7,6,6,6])))
         #
         a=zeros((10,2),dtype=int32)
         b=a.T
         c=b.view()
         a.shape=20
         a[3:]=10.
-        d=DataArrayInt(a)
-        self.assertTrue(d.isEqual(DataArrayInt([0,0,0,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10])))
+        d=DataArrayInt32(a)
+        self.assertTrue(d.isEqual(DataArrayInt32([0,0,0,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10])))
         pass
     
     @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
@@ -99,7 +104,7 @@ class MEDCouplingNumPyTest(unittest.TestCase):
     def test5(self):
         a=arange(20,dtype=int32)
         self.assertEqual(weakref.getweakrefcount(a),0)
-        d=DataArrayInt(a)
+        d=DataArrayInt32(a)
         self.assertEqual(weakref.getweakrefcount(a),1)
         self.assertTrue(not a.flags["OWNDATA"])
         self.assertTrue(d.isIota(20))
@@ -111,14 +116,14 @@ class MEDCouplingNumPyTest(unittest.TestCase):
         gc.collect()
         self.assertTrue(a.flags["OWNDATA"])
         a[:]=4 # a can be used has usual
-        self.assertTrue(DataArrayInt(a).isUniform(4))
+        self.assertTrue(DataArrayInt32(a).isUniform(4))
         pass
     
     @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
     def test6(self):
         a=arange(20,dtype=int32)
-        d=DataArrayInt(a) # d owns data of a
-        e=DataArrayInt(a) # a not owned -> e only an access to chunk of a 
+        d=DataArrayInt32(a) # d owns data of a
+        e=DataArrayInt32(a) # a not owned -> e only an access to chunk of a 
         self.assertTrue(d.isIota(d.getNumberOfTuples()))
         self.assertTrue(e.isIota(e.getNumberOfTuples()))
         a[:]=6
@@ -137,9 +142,9 @@ class MEDCouplingNumPyTest(unittest.TestCase):
         a=array(0,dtype=int32) ; a.resize(10,2)
         b=a.reshape(20)
         c=a.reshape(2,10)
-        d=DataArrayInt(b) # d owns data of a
-        e=DataArrayInt(b) # a not owned -> e only an access to chunk of a
-        f=DataArrayInt(b) # a not owned -> e only an access to chunk of a
+        d=DataArrayInt32(b) # d owns data of a
+        e=DataArrayInt32(b) # a not owned -> e only an access to chunk of a
+        f=DataArrayInt32(b) # a not owned -> e only an access to chunk of a
         del d # d removed -> a ownes again data
         ##@@ Ensure a pass of the garbage collector so that the de-allocator of d is called 
         import gc
@@ -172,11 +177,11 @@ class MEDCouplingNumPyTest(unittest.TestCase):
     def test8(self):
         a=arange(20,dtype=int32)
         self.assertTrue(a.flags["OWNDATA"])
-        d=DataArrayInt(a) # d owns data of a
+        d=DataArrayInt32(a) # d owns data of a
         self.assertTrue(not a.flags["OWNDATA"])
         d.pushBackSilent(20)# d pushBack so release of chunk of data -> a becomes owner of its data again
         self.assertTrue(a.flags["OWNDATA"])
-        self.assertTrue(d.isEqual(DataArrayInt([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20])))
+        self.assertTrue(d.isEqual(DataArrayInt32([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20])))
         self.assertEqual(a.tolist(),[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19])
         pass
 
@@ -386,16 +391,16 @@ class MEDCouplingNumPyTest(unittest.TestCase):
     def test19(self):
         sz=20
         a=array(0,dtype=int32)
-        a.resize(sz/2,2)
+        a.resize(sz//2,2)
         a[:]=4
         self.assertEqual(getrefcount(a),2)
-        d=DataArrayInt(a)
+        d=DataArrayInt32(a)
         self.assertEqual(10,d.getNumberOfTuples())
         self.assertEqual(2,d.getNumberOfComponents())
         self.assertEqual(sz,d.getNbOfElems())
-        self.assertTrue(d.isEqual(DataArrayInt([(4,4),(4,4),(4,4),(4,4),(4,4),(4,4),(4,4),(4,4),(4,4),(4,4)])))
+        self.assertTrue(d.isEqual(DataArrayInt32([(4,4),(4,4),(4,4),(4,4),(4,4),(4,4),(4,4),(4,4),(4,4),(4,4)])))
         a[:]=7
-        self.assertTrue(d.isEqual(DataArrayInt([(7,7),(7,7),(7,7),(7,7),(7,7),(7,7),(7,7),(7,7),(7,7),(7,7)])))
+        self.assertTrue(d.isEqual(DataArrayInt32([(7,7),(7,7),(7,7),(7,7),(7,7),(7,7),(7,7),(7,7),(7,7),(7,7)])))
         #
         b=a.reshape((2,5,2))
         self.assertRaises(InterpKernelException,DataArrayInt.New,b) # b has not dimension in [0,1] !
@@ -405,7 +410,7 @@ class MEDCouplingNumPyTest(unittest.TestCase):
     def test20(self):
         sz=20
         a=array(0,dtype=float64)
-        a.resize(sz/2,2)
+        a.resize(sz//2,2)
         a[:]=4
         self.assertEqual(getrefcount(a),2)
         d=DataArrayDouble(a)
@@ -422,10 +427,10 @@ class MEDCouplingNumPyTest(unittest.TestCase):
 
     @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
     def test21(self):
-        #tests that only DataArray*(npArray) contructor is available
+        #tests that only DataArray*(npArray) constructor is available
         a=array(0,dtype=int32)
         a.resize(20)
-        DataArrayInt(a)
+        DataArrayInt32(a)
         self.assertRaises(InterpKernelException,DataArrayInt.New,a,20)
         self.assertRaises(InterpKernelException,DataArrayInt.New,a,20,1)
         a=array(0,dtype=float64)
@@ -559,9 +564,9 @@ class MEDCouplingNumPyTest(unittest.TestCase):
     @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
     def test25(self):
         a=arange(10,dtype=int32)
-        b=DataArrayInt(a)
-        c=DataArrayInt(a)
-        d=DataArrayInt(a)
+        b=DataArrayInt32(a)
+        c=DataArrayInt32(a)
+        d=DataArrayInt32(a)
         self.assertTrue(b.isIota(10))
         self.assertTrue(c.isIota(10))
         self.assertTrue(d.isIota(10))
@@ -579,8 +584,8 @@ class MEDCouplingNumPyTest(unittest.TestCase):
         self.assertTrue(c.isIota(11))
         #
         a=arange(10,dtype=int32)
-        b=DataArrayInt(a)
-        c=DataArrayInt(a)
+        b=DataArrayInt32(a)
+        c=DataArrayInt32(a)
         self.assertTrue(b.isIota(10))
         self.assertTrue(c.isIota(10))
         b.pushBackSilent(10) # c and a,b are dissociated
@@ -639,9 +644,9 @@ class MEDCouplingNumPyTest(unittest.TestCase):
         self.assertEqual(a.ndim,2)
         self.assertEqual(a.size,15)
         self.assertEqual(a.shape,(5,3))
-        self.assertEqual(a.strides,(12,4))
-        self.assertEqual(a.nbytes,60)
-        self.assertEqual(a.itemsize,4)
+        self.assertEqual(a.strides,(3*MEDCouplingSizeOfIDs()//8,MEDCouplingSizeOfIDs()//8))
+        self.assertEqual(a.nbytes,15*MEDCouplingSizeOfIDs()//8)
+        self.assertEqual(a.itemsize,MEDCouplingSizeOfIDs()//8)
         self.assertEqual(a.tolist(),[[0,1,2],[3,4,5],[6,7,8],[9,10,11],[12,13,14]])
         #
         d2=d.convertToDblArr()
@@ -663,6 +668,416 @@ class MEDCouplingNumPyTest(unittest.TestCase):
         self.assertEqual(m0np.tolist(),[[2.0,3.0,4.0],[5.0,1.0,6.0]])
         pass
 
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test28(self):
+        """Test on DataArrayBytes"""
+        # use case 1
+        d=DataArrayByte(256)
+        for i in range(len(d)):
+            d[i]=-128+i
+            pass
+        arr=d.toNumPyArray()
+        for i in range(len(d)):
+            self.assertEqual(int(arr[i]),-128+i)
+            pass
+        d[0]=7
+        self.assertEqual(int(arr[0]),7)
+        arr[0]=8
+        self.assertEqual(int(d.getIJ(0,0)),8)
+        del arr
+        gc.collect()
+        del d
+        gc.collect()
+        # use case 2
+        d=DataArrayByte(256)
+        for i in range(len(d)):
+            d[i]=-128+i
+            pass
+        arr=d.toNumPyArray()
+        for i in range(len(d)):
+            self.assertEqual(int(arr[i]),-128+i)
+            pass
+        del d
+        gc.collect()
+        del arr
+        gc.collect()
+        # use case 3
+        d=DataArrayByte(256)
+        for i in range(len(d)):
+            d[i]=-128+i
+            pass
+        arr1=d.toNumPyArray()
+        arr2=d.toNumPyArray()
+        arr3=d.toNumPyArray()
+        d[0]=10
+        self.assertEqual(int(arr1[0]),10) ; self.assertEqual(int(arr2[0]),10) ; self.assertEqual(int(arr3[0]),10)
+        arr2[0]=15 ; self.assertEqual(int(d.getIJ(0,0)),15) ; self.assertEqual(int(arr1[0]),15) ; self.assertEqual(int(arr3[0]),15)
+        arr1[0]=-128
+        for i in range(len(d)):
+            self.assertEqual(int(arr1[i]),-128+i)
+            self.assertEqual(int(arr2[i]),-128+i)
+            self.assertEqual(int(arr3[i]),-128+i)
+            pass
+        del arr2
+        gc.collect()
+        for i in range(len(d)):
+            self.assertEqual(int(arr1[i]),-128+i)
+            self.assertEqual(int(arr3[i]),-128+i)
+            pass
+        del arr1
+        gc.collect()
+        for i in range(len(d)):
+            self.assertEqual(int(arr3[i]),-128+i)
+            pass
+        del arr3
+        gc.collect()
+        # use case 4
+        arr=array(0,dtype=int8)
+        arr.resize(256)
+        for i in range(256):
+            arr[i]=-128+i
+            pass
+        d=DataArrayByte(arr)
+        for i in range(256):
+            self.assertEqual(int(d.getIJ(i,0)),-128+i)
+            pass
+        del arr
+        gc.collect()
+        del d
+        gc.collect()
+        # use case 5
+        arr=array(0,dtype=int8)
+        arr.resize(256)
+        for i in range(256):
+            arr[i]=-128+i
+            pass
+        d=DataArrayByte(arr)
+        for i in range(256):
+            self.assertEqual(int(d.getIJ(i,0)),-128+i)
+            pass
+        del d
+        gc.collect()
+        del arr
+        gc.collect()
+        pass
+
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test29(self):
+        """Same as test9 with float32"""
+        sz=20
+        a=array(0,dtype=float32)
+        a.resize(sz)
+        a[:]=4
+        self.assertEqual(getrefcount(a),2)
+        a=a.cumsum(dtype=float32)
+        self.assertEqual(getrefcount(a),2)
+        d=DataArrayFloat(a)
+        d[:]=2
+        #
+        e=DataArrayFloat(sz) ; e.fillWithValue(2)
+        self.assertTrue(d.isEqual(e,1e-7))
+        #
+        a[:]=4 ; e.fillWithValue(4)
+        self.assertTrue(d.isEqual(e,1e-7))
+        pass
+    
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test30(self):
+        """Same as test10 with float32"""
+        sz=20
+        a=array(0,dtype=float32)
+        a.resize(sz,2)
+        self.assertEqual(getrefcount(a),2)
+        b=a.reshape(2*sz)
+        self.assertEqual(getrefcount(a),3)
+        self.assertEqual(getrefcount(b),2)
+        b[:]=5
+        d=DataArrayFloat(b)
+        #
+        e=DataArrayFloat(sz*2) ; e.fillWithValue(5)
+        self.assertTrue(d.isEqual(e,1e-7))
+        pass
+    
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test31(self):
+        """Same as test11 with float32"""
+        sz=10
+        a=array(0,dtype=float32)
+        a.resize(sz,2)
+        b=a.reshape(2*sz)
+        c=a.reshape(2,sz)
+        b[:]=6
+        b[7:17]=7
+        d=DataArrayFloat(b)
+        self.assertTrue(d.isEqual(DataArrayFloat([6,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,7,6,6,6]),1e-7))
+        #
+        a=zeros((10,2),dtype=float32)
+        b=a.T
+        c=b.view()
+        a.shape=20
+        a[3:]=10.
+        d=DataArrayFloat(a)
+        self.assertTrue(d.isEqual(DataArrayFloat([0,0,0,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10]),1e-7))
+        pass
+    
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test32(self):
+        """Same as test12 with float32"""
+        a=zeros(20,dtype=float32)
+        b = a[::-1]
+        self.assertRaises(InterpKernelException,DataArrayFloat.New,b) # b is not contiguous in memory
+        pass
+    
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test33(self):
+        """Same as test13 with float32"""
+        a=arange(20,dtype=float32)
+        self.assertEqual(weakref.getweakrefcount(a),0)
+        d=DataArrayFloat(a)
+        self.assertEqual(weakref.getweakrefcount(a),1)
+        self.assertTrue(not a.flags["OWNDATA"])
+        self.assertTrue(d.isEqual(DataArrayFloat([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]),1e-7))
+        self.assertEqual(len(d),20)
+        a[:]=2 # modifying a and d because a and d share the same chunk of data
+        self.assertTrue(d.isUniform(2,1e-7))
+        del d # d is destroyed, a retrieves its ownership of its initial chunk of data
+        ##@@ Ensure a pass of the garbage collector so that the de-allocator of d is called
+        import gc
+        gc.collect()
+        self.assertTrue(a.flags["OWNDATA"])
+        a[:]=4 # a can be used has usual
+        self.assertTrue(DataArrayFloat(a).isUniform(4,1e-7))
+        pass
+    
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test34(self):
+        """Same as test14 with float32"""
+        a=arange(20,dtype=float32)
+        d=DataArrayFloat(a) # d owns data of a
+        e=DataArrayFloat(a) # a not owned -> e only an access to chunk of a 
+        self.assertTrue(d.isEqual(DataArrayFloat([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]),1e-7))
+        self.assertTrue(e.isEqual(DataArrayFloat([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]),1e-7))
+        a[:]=6
+        self.assertTrue(d.isUniform(6,1e-7))
+        self.assertTrue(e.isUniform(6,1e-7))
+        del a # a destroyed -> d no change because owned and e array is has no more data set
+        ##@@ Ensure a pass of the garbage collector so that the de-allocator of d is called
+        import gc
+        gc.collect()
+        self.assertTrue(d.isUniform(6,1e-7))
+        self.assertTrue(not e.isAllocated())
+        pass
+
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test35(self):
+        """Same as test15 with float32"""
+        a=array(0,dtype=float32) ; a.resize(10,2)
+        b=a.reshape(20)
+        c=a.reshape(2,10)
+        d=DataArrayFloat(b) # d owns data of a
+        e=DataArrayFloat(b) # a not owned -> e only an access to chunk of a
+        f=DataArrayFloat(b) # a not owned -> e only an access to chunk of a
+        del d # d removed -> a ownes again data
+        ##@@ Ensure a pass of the garbage collector so that the de-allocator of d is called
+        import gc
+        gc.collect()
+        self.assertTrue(e.isUniform(0,1e-7))
+        e[:]=6
+        self.assertTrue(e.isUniform(6,1e-7))
+        self.assertTrue(f.isUniform(6,1e-7))
+        self.assertEqual(b.tolist(),[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
+        self.assertEqual(a.tolist(),[[6,6],[6,6],[6,6],[6,6],[6,6],[6,6],[6,6],[6,6],[6,6],[6,6]])
+        b[:]=arange(20)
+        del b # no impact on e and f because a is the base of a.
+        ##@@ Ensure a pass of the garbage collector so that the de-allocator of d is called
+        gc.collect()
+        self.assertTrue(f.isEqual(DataArrayFloat([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]),1e-7))
+        self.assertTrue(e.isEqual(DataArrayFloat([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]),1e-7))
+        del a # a destroyed, but as c has its base set to a, a exists -> e and f not allocated
+        ##@@ Ensure a pass of the garbage collector so that the de-allocator of d is called
+        gc.collect()
+        self.assertTrue(f.isEqual(DataArrayFloat([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]),1e-7))
+        self.assertTrue(e.isEqual(DataArrayFloat([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]),1e-7))
+        del c # c killed -> a killed -> e and d are put into not allocated state
+        ##@@ Ensure a pass of the garbage collector so that the de-allocator of d is called
+        gc.collect()
+        self.assertTrue(not e.isAllocated())
+        self.assertTrue(not f.isAllocated())
+        pass
+
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test36(self):
+        """Same as test16 with float32"""
+        a=arange(20,dtype=float32)
+        self.assertTrue(a.flags["OWNDATA"])
+        d=DataArrayFloat(a) # d owns data of a
+        self.assertTrue(not a.flags["OWNDATA"])
+        d.pushBackSilent(20)# d pushBack so release of chunk of data -> a becomes owner of its data again
+        self.assertTrue(a.flags["OWNDATA"])
+        self.assertTrue(d.isEqual(DataArrayFloat([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]),1e-7))
+        self.assertEqual(a.tolist(),[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19])
+        pass
+
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test37(self):
+        """Same as test20 with float32"""
+        sz=20
+        a=array(0,dtype=float32)
+        a.resize(sz//2,2)
+        a[:]=4
+        self.assertEqual(getrefcount(a),2)
+        d=DataArrayFloat(a)
+        self.assertEqual(10,d.getNumberOfTuples())
+        self.assertEqual(2,d.getNumberOfComponents())
+        self.assertEqual(sz,d.getNbOfElems())
+        self.assertTrue(d.isEqual(DataArrayFloat([(4.,4.),(4.,4.),(4.,4.),(4.,4.),(4.,4.),(4.,4.),(4.,4.),(4.,4.),(4.,4.),(4.,4.)]),1e-7))
+        a[:]=7
+        self.assertTrue(d.isEqual(DataArrayFloat([(7.,7.),(7.,7.),(7.,7.),(7.,7.),(7.,7.),(7.,7.),(7.,7.),(7.,7.),(7.,7.),(7.,7.)]),1e-7))
+        #
+        b=a.reshape((2,5,2))
+        self.assertRaises(InterpKernelException,DataArrayFloat.New,b) # b has not dimension in [0,1] !
+        pass
+
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test38(self):
+        """Same as test22 with float32"""
+        d=DataArrayFloat(10)
+        d.iota()
+        a=d.toNumPyArray()
+        self.assertTrue(not a.flags["OWNDATA"])
+        del d
+        gc.collect()
+        self.assertTrue(a.flags["OWNDATA"])
+        self.assertEqual(a.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        #
+        d=DataArrayInt(10)
+        d.iota()
+        a=d.toNumPyArray()
+        self.assertTrue(not a.flags["OWNDATA"])
+        del d
+        gc.collect()
+        self.assertTrue(a.flags["OWNDATA"])
+        self.assertEqual(a.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        pass
+
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test39(self):
+        """Same as test23 with float32"""
+        d=DataArrayFloat(10)
+        d.iota()
+        a=d.toNumPyArray()
+        b=d.toNumPyArray()
+        c=d.toNumPyArray()
+        self.assertTrue(not a.flags["OWNDATA"])
+        self.assertTrue(not b.flags["OWNDATA"])
+        self.assertTrue(not c.flags["OWNDATA"])
+        self.assertEqual(a.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertEqual(b.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertEqual(c.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        del d
+        gc.collect()
+        self.assertTrue(a.flags["OWNDATA"])
+        self.assertTrue(not b.flags["OWNDATA"])
+        self.assertTrue(not c.flags["OWNDATA"])
+        self.assertEqual(a.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertEqual(b.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertEqual(c.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        #
+        d=DataArrayInt(10)
+        d.iota()
+        a=d.toNumPyArray()
+        b=d.toNumPyArray()
+        c=d.toNumPyArray()
+        self.assertTrue(not a.flags["OWNDATA"])
+        self.assertTrue(not b.flags["OWNDATA"])
+        self.assertTrue(not c.flags["OWNDATA"])
+        self.assertEqual(a.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        self.assertEqual(b.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        self.assertEqual(c.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        del d
+        gc.collect()
+        self.assertTrue(a.flags["OWNDATA"])
+        self.assertTrue(not b.flags["OWNDATA"])
+        self.assertTrue(not c.flags["OWNDATA"])
+        self.assertEqual(a.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        self.assertEqual(b.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        self.assertEqual(c.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        pass
+
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test40(self):
+        """Same as test24 with float32"""
+        d=DataArrayFloat(10)
+        d.iota()
+        a=d.toNumPyArray()
+        self.assertEqual(a.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertTrue(not a.flags["OWNDATA"])
+        self.assertTrue(a.base is None)
+        del a
+        gc.collect()
+        a=d.toNumPyArray()
+        self.assertEqual(a.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertTrue(not a.flags["OWNDATA"])
+        self.assertTrue(a.base is None)
+        b=d.toNumPyArray()
+        self.assertEqual(a.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertEqual(b.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertTrue(not a.flags["OWNDATA"])
+        self.assertTrue(not b.flags["OWNDATA"])
+        self.assertTrue(b.base is a)
+        del a
+        gc.collect()
+        self.assertEqual(b.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertTrue(not b.flags["OWNDATA"])
+        del d
+        gc.collect()
+        self.assertEqual(b.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertTrue(not b.flags["OWNDATA"])
+        #
+        d=DataArrayInt(10)
+        d.iota()
+        a=d.toNumPyArray()
+        self.assertEqual(a.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        self.assertTrue(not a.flags["OWNDATA"])
+        self.assertTrue(a.base is None)
+        del a
+        gc.collect()
+        a=d.toNumPyArray()
+        self.assertEqual(a.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        self.assertTrue(not a.flags["OWNDATA"])
+        self.assertTrue(a.base is None)
+        b=d.toNumPyArray()
+        self.assertEqual(a.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        self.assertEqual(b.tolist(),[0,1,2,3,4,5,6,7,8,9])
+        self.assertTrue(not a.flags["OWNDATA"])
+        self.assertTrue(not b.flags["OWNDATA"])
+        self.assertTrue(b.base is a)
+        del a
+        gc.collect()
+        self.assertEqual(b.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertTrue(not b.flags["OWNDATA"])
+        del d
+        gc.collect()
+        self.assertEqual(b.tolist(),[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.])
+        self.assertTrue(not b.flags["OWNDATA"])
+        pass
+
+    @unittest.skipUnless(MEDCouplingHasNumPyBindings(),"requires numpy")
+    def test41(self):
+        """ This non regression test is focused on a numpy subarray of a bigger numpy array. Typically a 1D array coming from a 2D array. When medcoupling takes the ownership, medcoupling must store an offset to deallocate correctly the pointer. The pointer of medcoupling array is NOT the pointer to be transmited to free. The offset is typically the distance between the start of the main 2D array and the start of 1D array medcouplingized."""
+        import numpy as np
+        array = np.array([[1,2,3,10],[4,5,6,20],[7,8,9,30]],dtype=np.float64) # create a 2D array 
+        b = array[2] # b data pointer starts at array+2*4*sizeof(float64) so offset is expected to be equal to -2*4*sizeof(float64)=-64
+        self.assertTrue(array.flags["OWNDATA"])
+        self.assertTrue(not b.flags["OWNDATA"])
+        d=DataArrayDouble(b)
+        self.assertTrue(not array.flags["OWNDATA"])
+        self.assertTrue(not b.flags["OWNDATA"])
+        del b ; gc.collect()
+        del array ; gc.collect()
+        del d ; gc.collect() # important : destroy d after b and array to be sure to let the ownership to d.
+        pass
+
     def setUp(self):
         pass
     pass