def test_full_execution(setup):
t = full((2, 2), 1, dtype='f4', chunk_size=1)
res = t.execute().fetch()
np.testing.assert_array_equal(res, np.full((2, 2), 1, dtype='f4'))
t = full((2, 2), [1, 2], dtype='f8', chunk_size=1)
res = t.execute().fetch()
np.testing.assert_array_equal(res, np.full((2, 2), [1, 2], dtype='f8'))
t = full((2, 2), 1, dtype='f4', chunk_size=1, order='F')
res = t.execute().fetch()
expected = np.full((2, 2), 1, dtype='f4', order='F')
assert res.flags['C_CONTIGUOUS'] == expected.flags['C_CONTIGUOUS']
assert res.flags['F_CONTIGUOUS'] == expected.flags['F_CONTIGUOUS']
t2 = full_like(t, 10, order='F')
res = t2.execute().fetch()
expected = np.full((2, 2), 10, dtype='f4', order='F')
np.testing.assert_array_equal(res, expected)
assert res.flags['C_CONTIGUOUS'] == expected.flags['C_CONTIGUOUS']
assert res.flags['F_CONTIGUOUS'] == expected.flags['F_CONTIGUOUS']
def testFullExecution(self):
t = full((2, 2), 1, dtype='f4', chunk_size=1)
res = self.executor.execute_tensor(t, concat=True)
np.testing.assert_array_equal(res[0], np.full((2, 2), 1, dtype='f4'))
t = full((2, 2), [1, 2], dtype='f8', chunk_size=1)
res = self.executor.execute_tensor(t, concat=True)
np.testing.assert_array_equal(res[0],
np.full((2, 2), [1, 2], dtype='f8'))
t = full((2, 2), 1, dtype='f4', chunk_size=1, order='F')
res = self.executor.execute_tensor(t, concat=True)[0]
expected = np.full((2, 2), 1, dtype='f4', order='F')
self.assertEqual(res.flags['C_CONTIGUOUS'],
expected.flags['C_CONTIGUOUS'])
self.assertEqual(res.flags['F_CONTIGUOUS'],
expected.flags['F_CONTIGUOUS'])
t2 = full_like(t, 10, order='F')
res = self.executor.execute_tensor(t2, concat=True)[0]
expected = np.full((2, 2), 10, dtype='f4', order='F')
np.testing.assert_array_equal(res, expected)
self.assertEqual(res.flags['C_CONTIGUOUS'],
expected.flags['C_CONTIGUOUS'])
self.assertEqual(res.flags['F_CONTIGUOUS'],
expected.flags['F_CONTIGUOUS'])
def testFullExecution(self):
t = full((2, 2), 1, dtype='f4', chunk_size=1)
res = self.executor.execute_tensor(t, concat=True)
self.assertTrue(np.array_equal(res[0], np.full((2, 2), 1, dtype='f4')))
t = full((2, 2), [1, 2], dtype='f8', chunk_size=1)
res = self.executor.execute_tensor(t, concat=True)
self.assertTrue(
np.array_equal(res[0], np.full((2, 2), [1, 2], dtype='f8')))
