# -*- coding: iso-8859-1 -*-
-# Copyright (C) 2007-2016 CEA/DEN, EDF R&D
+# Copyright (C) 2007-2023 CEA, EDF
#
# 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
+from medcoupling import *
if MEDCouplingHasNumPyBindings():
from numpy import *
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)
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
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")
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))
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
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
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
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] !
@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)
@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))
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
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()
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
