def testAddWithOut(self):
t1 = ones((3, 4), chunks=2)
t2 = ones(4, chunks=2)
t3 = add(t1, t2, out=t1)
self.assertIsInstance(t1.op, Add)
self.assertEqual(t1.op.out.key, t1.op.lhs.key)
self.assertIs(t3, t1)
self.assertEqual(t3.shape, (3, 4))
self.assertEqual(t3.op.lhs.params.raw_chunks, 2)
self.assertIs(t3.op.rhs, t2.data)
self.assertNotEqual(t3.key, t3.op.lhs.key)
t3.tiles()
self.assertIsInstance(t1.chunks[0].op, Add)
self.assertEqual(t1.chunks[0].op.out.key, t1.chunks[0].op.lhs.key)
with self.assertRaises(TypeError):
add(t1, t2, out=1)
with self.assertRaises(ValueError):
add(t1, t2, out=t2)
with self.assertRaises(TypeError):
truediv(t1, t2, out=t1.astype('i8'))
t1 = ones((3, 4), chunks=2, dtype=float)
t2 = ones(4, chunks=2, dtype=int)
t3 = add(t2, 1, out=t1)
self.assertEqual(t3.shape, (3, 4))
self.assertEqual(t3.dtype, np.float64)
def testDtype(self):
t1 = ones((2, 3), dtype='f4', chunk_size=2)
t = truediv(t1, 2, dtype='f8')
self.assertEqual(t.dtype, np.float64)
with self.assertRaises(TypeError):
truediv(t1, 2, dtype='i4')
def testAddWithOutExecution(self):
data1 = np.random.random((5, 9, 4))
data2 = np.random.random((9, 4))
arr1 = tensor(data1.copy(), chunk_size=3)
arr2 = tensor(data2.copy(), chunk_size=3)
add(arr1, arr2, out=arr1)
res = self.executor.execute_tensor(arr1, concat=True)[0]
self.assertTrue(np.array_equal(res, data1 + data2))
arr1 = tensor(data1.copy(), chunk_size=3)
arr2 = tensor(data2.copy(), chunk_size=3)
arr3 = add(arr1, arr2, out=arr1.astype('i4'), casting='unsafe')
res = self.executor.execute_tensor(arr3, concat=True)[0]
np.testing.assert_array_equal(res, (data1 + data2).astype('i4'))
arr1 = tensor(data1.copy(), chunk_size=3)
arr2 = tensor(data2.copy(), chunk_size=3)
arr3 = truediv(arr1, arr2, out=arr1, where=arr2 > .5)
res = self.executor.execute_tensor(arr3, concat=True)[0]
self.assertTrue(
np.array_equal(
res,
np.true_divide(data1,
data2,
out=data1.copy(),
where=data2 > .5)))
def testDtypeExecution(self):
a = ones((10, 20), dtype='f4', chunks=5)
c = truediv(a, 2, dtype='f8')
res = self.executor.execute_tensor(c, concat=True)[0]
self.assertEqual(res.dtype, np.float64)
c = truediv(a, 0, dtype='f8')
res = self.executor.execute_tensor(c, concat=True)[0]
self.assertTrue(np.isinf(res[0, 0]))
with self.assertRaises(FloatingPointError):
with np.errstate(divide='raise'):
c = truediv(a, 0, dtype='f8')
_ = self.executor.execute_tensor(c, concat=True)[0]
