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1# Copyright 2021 Huawei Technologies Co., Ltd
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ============================================================================
15""" test '~' """
16import numpy as np
17import pytest
18
19import mindspore.nn as nn
20from mindspore import Tensor
21from mindspore import context
22
23
24class InvertNet(nn.Cell):
25    def __init__(self):
26        super(InvertNet, self).__init__()
27        self.t = Tensor(np.array([True, False, True]))
28
29    def construct(self, x):
30        invert_t = ~self.t
31        invert_x = ~x
32        ret = (invert_t, invert_x)
33        return ret
34
35
36def test_invert_bool_tensor():
37    net = InvertNet()
38    input_x = Tensor(np.array([False, True, False]))
39
40    context.set_context(mode=context.PYNATIVE_MODE)
41    ret = net(input_x)
42    assert (ret[0].asnumpy() == np.array([False, True, False])).all()
43    assert (ret[1].asnumpy() == np.array([True, False, True])).all()
44
45    context.set_context(mode=context.GRAPH_MODE)
46    net(input_x)
47
48
49def test_invert_int_tensor():
50    net = InvertNet()
51    input_x = Tensor(np.array([1, 2, 3], np.int32))
52
53    context.set_context(mode=context.PYNATIVE_MODE)
54    with pytest.raises(TypeError) as err:
55        net(input_x)
56    assert "For 'LogicalNot or '~' operator', the type of 'x' should be Tensor[Bool], " \
57           "but got Tensor[Int32]" in str(err.value)
58
59    context.set_context(mode=context.GRAPH_MODE)
60    with pytest.raises(TypeError) as err:
61        net(input_x)
62    assert "For 'LogicalNot or '~' operator', the type of 'x' should be Tensor[Bool], " \
63           "but got Tensor[Int32]" in str(err.value)
64