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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 syntax for logic expression """
16
17import numpy as np
18
19import mindspore.nn as nn
20from mindspore import context
21from mindspore.common.tensor import Tensor
22
23context.set_context(mode=context.GRAPH_MODE)
24
25
26class LogicOr(nn.Cell):
27    def __init__(self):
28        super(LogicOr, self).__init__()
29        self.m = 1
30
31    def construct(self, x, y):
32        or_v = x or y
33        return or_v
34
35
36class LogicOrSpec(nn.Cell):
37    def __init__(self, x, y):
38        super(LogicOrSpec, self).__init__()
39        self.x = x
40        self.y = y
41
42    def construct(self, x, y):
43        or_v = self.x or self.y
44        return or_v
45
46
47def test_ms_syntax_operator_logic_int_or_int():
48    net = LogicOr()
49    ret = net(1, 2)
50    print(ret)
51
52
53def test_ms_syntax_operator_logic_float_or_float():
54    net = LogicOr()
55    ret = net(1.89, 1.99)
56    print(ret)
57
58
59def test_ms_syntax_operator_logic_float_or_int():
60    net = LogicOr()
61    ret = net(1.89, 1)
62    print(ret)
63
64
65def test_ms_syntax_operator_logic_tensor_1_int_or_tensor_1_int():
66    net = LogicOr()
67    x = Tensor(np.ones([1], np.int32))
68    y = Tensor(np.zeros([1], np.int32))
69    ret = net(x, y)
70    print(ret)
71
72
73def test_ms_syntax_operator_logic_tensor_1_float_or_tensor_1_int():
74    net = LogicOr()
75    x = Tensor(np.ones([1], np.float))
76    y = Tensor(np.zeros([1], np.int32))
77    ret = net(x, y)
78    print(ret)
79
80
81def test_ms_syntax_operator_logic_tensor_2X2_int_or_tensor_2X2_int():
82    net = LogicOr()
83    x = Tensor(np.ones([2, 2], np.int32))
84    y = Tensor(np.zeros([2, 2], np.int32))
85    ret = net(x, y)
86    print(ret)
87
88
89def test_ms_syntax_operator_logic_int_or_str():
90    net = LogicOr()
91    ret = net(1, "cba")
92    print(ret)
93
94
95def test_ms_syntax_operator_logic_int_or_str_2():
96    net = LogicOrSpec(1, "cba")
97    ret = net(1, 2)
98    print(ret)
99
100
101def test_ms_syntax_operator_logic_str_or_str():
102    net = LogicOrSpec("abc", "cba")
103    ret = net(1, 2)
104    print(ret)
105
106
107def test_ms_syntax_operator_logic_list_int_or_list_int():
108    net = LogicOr()
109    ret = net([1, 2, 3], [3, 2, 1])
110    print(ret)
111
112
113def test_ms_syntax_operator_logic_list_int_or_int():
114    net = LogicOr()
115    ret = net([1, 2, 3], 1)
116    print(ret)
117
118
119def test_ms_syntax_operator_logic_list_int_or_str():
120    net = LogicOrSpec([1, 2, 3], "aaa")
121    ret = net(1, 2)
122    print(ret)
123
124
125def test_ms_syntax_operator_logic_list_int_or_list_str():
126    net = LogicOrSpec([1, 2, 3], ["1", "2", "3"])
127    ret = net(1, 2)
128    print(ret)
129
130
131def test_ms_syntax_operator_logic_list_int_or_list_str_var():
132    left = [1, 2, 3]
133    right = ["1", "2", "3"]
134    net = LogicOrSpec(left, right)
135    ret = net(1, 2)
136    print(ret)
137