def testEmptyExecution(self):
t = empty((20, 30), dtype='i8', chunk_size=5)
res = self.executor.execute_tensor(t, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.int64)
t = empty((20, 30), chunk_size=5)
res = self.executor.execute_tensor(t, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.float64)
t2 = empty_like(t)
res = self.executor.execute_tensor(t2, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.float64)
t = empty((20, 30), dtype='i8', chunk_size=5, order='F')
res = self.executor.execute_tensor(t, concat=True)[0]
expected = np.empty((20, 30), dtype='i8', order='F')
self.assertEqual(res.flags['C_CONTIGUOUS'],
expected.flags['C_CONTIGUOUS'])
self.assertEqual(res.flags['F_CONTIGUOUS'],
expected.flags['F_CONTIGUOUS'])
def testEmptyExecution(self):
t = empty((20, 30), dtype='i8', chunk_size=5)
res = self.executor.execute_tensor(t, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.int64)
t = empty((20, 30), chunk_size=5)
res = self.executor.execute_tensor(t, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.float64)
t2 = empty_like(t)
res = self.executor.execute_tensor(t2, concat=True)
self.assertEqual(res[0].shape, (20, 30))
self.assertEqual(res[0].dtype, np.float64)
def test_empty_execution(setup):
t = empty((20, 30), dtype='i8', chunk_size=5)
res = t.execute().fetch()
assert res.shape == (20, 30)
assert res.dtype == np.int64
t = empty((20, 30), chunk_size=10)
res = t.execute().fetch()
assert res.shape == (20, 30)
assert res.dtype == np.float64
t2 = empty_like(t)
res = t2.execute().fetch()
assert res.shape == (20, 30)
assert res.dtype == np.float64
t = empty((20, 30), dtype='i8', chunk_size=5, order='F')
res = t.execute().fetch()
expected = np.empty((20, 30), dtype='i8', order='F')
assert res.flags['C_CONTIGUOUS'] == expected.flags['C_CONTIGUOUS']
assert res.flags['F_CONTIGUOUS'] == expected.flags['F_CONTIGUOUS']
