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"))
