def test01(self): """ One-dimensional LHS indexing of multi-dimensional array, without expansion. Using scalar index. """ self.a[4] = 9 self.assertTrue(isequal_(self.a, sparsearray([[1, 3], [2, 9]])))
def test01(self): """ One-dimensional LHS indexing of multi-dimensional array, without expansion. Using scalar index. """ self.a[4]=9 self.assertTrue(isequal_(self.a, sparsearray([[1, 3],[2, 9]])))
def test04(self): a = sparsearray([1, 2, 3]) a[5] = 100 a[3, 3] = 33 self.assertEqual(a.shape, (3, 5)) self.assertTrue( isequal_(a.todense(), [[1, 2, 3, 0, 100], [0, 0, 0, 0, 0], [0, 0, 33, 0, 0]]))
def test02(self): """ Multi-dimensional LHS indexing, without expansion. """ self.a[1, 1] = 11 self.a[2, 2] = 22 self.a[1, 2] = 12 self.a[2, 1] = 21 self.assertTrue(isequal_(self.a, sparsearray([[11, 12], [21, 22]])))
def test02(self): """ Multi-dimensional LHS indexing, without expansion. """ self.a[1,1]=11 self.a[2,2]=22 self.a[1,2]=12 self.a[2,1]=21 self.assertTrue(isequal_(self.a, sparsearray([[11,12],[21,22]])))
def setUp(self): self.a = sparsearray(arange_(1, 4).reshape(2, 2, order="F"))
def setUp(self): self.a = sparsearray(np.arange(1, 5).reshape(2, 2, order="F")) self.c = sparsearray(arange_(1, 20).reshape(4, 5, order="F"))
def setUp(self): self.a = np.arange(1, 5).reshape(2, 2, order="F") self.b = sparsearray(self.a)
def setUp(self): self.a = np.arange(1,5).reshape(2,2,order="F") self.b = sparsearray(self.a)
def setUp(self): self.a = sparsearray(arange_(1,4).reshape(2,2,order="F"))
def test04(self): a = sparsearray([1,2,3]) a[5]=100 a[3,3]=33 self.assertEqual(a.shape, (3,5)) self.assertTrue(isequal_(a.todense(), [[1,2,3,0,100],[0,0,0,0,0],[0,0,33,0,0]]))
def setUp(self): self.a = sparsearray(np.arange(1,5).reshape(2,2,order="F")) self.c = sparsearray(arange_(1,20).reshape(4,5,order="F"))