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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 LogicAnd(nn.Cell):
27    def __init__(self):
28        super(LogicAnd, self).__init__()
29        self.m = 1
30
31    def construct(self, x, y):
32        and_v = x and y
33        return and_v
34
35
36class LogicAndSpec(nn.Cell):
37    def __init__(self, x, y):
38        super(LogicAndSpec, self).__init__()
39        self.x = x
40        self.y = y
41
42    def construct(self, x, y):
43        and_v = self.x and self.y
44        return and_v
45
46
47def test_ms_syntax_operator_logic_int_and_int():
48    net = LogicAnd()
49    ret = net(1, 2)
50    print(ret)
51
52
53def test_ms_syntax_operator_logic_float_and_float():
54    net = LogicAnd()
55    ret = net(1.89, 1.99)
56    print(ret)
57
58
59def test_ms_syntax_operator_logic_float_and_int():
60    net = LogicAnd()
61    ret = net(1.89, 1)
62    print(ret)
63
64
65def test_ms_syntax_operator_logic_tensor_1_int_and_tensor_1_int():
66    net = LogicAnd()
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_and_tensor_1_int():
74    net = LogicAnd()
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_1_int_and_int():
82    net = LogicAnd()
83    x = Tensor(np.ones([1], np.int32))
84    y = 2
85    ret = net(x, y)
86    print(ret)
87
88
89def test_ms_syntax_operator_logic_tensor_2X2_int_and_tensor_2X2_int():
90    net = LogicAnd()
91    x = Tensor(np.ones([2, 2], np.int32))
92    y = Tensor(np.zeros([2, 2], np.int32))
93    ret = net(x, y)
94    print(ret)
95
96
97def test_ms_syntax_operator_logic_int_and_str():
98    net = LogicAnd()
99    ret = net(1, "cba")
100    print(ret)
101
102
103def test_ms_syntax_operator_logic_int_and_str_2():
104    net = LogicAndSpec(1, "cba")
105    ret = net(1, 2)
106    print(ret)
107
108
109def test_ms_syntax_operator_logic_str_and_str():
110    net = LogicAndSpec("abc", "cba")
111    ret = net(1, 2)
112    print(ret)
113
114
115def test_ms_syntax_operator_logic_list_int_and_list_int():
116    net = LogicAnd()
117    ret = net([1, 2, 3], [3, 2, 1])
118    print(ret)
119
120
121def test_ms_syntax_operator_logic_list_int_and_int():
122    net = LogicAnd()
123    ret = net([1, 2, 3], 1)
124    print(ret)
125
126
127def test_ms_syntax_operator_logic_list_int_and_str():
128    net = LogicAndSpec([1, 2, 3], "aaa")
129    ret = net(1, 2)
130    print(ret)
131
132
133def test_ms_syntax_operator_logic_list_int_and_list_str():
134    net = LogicAndSpec([1, 2, 3], ["1", "2", "3"])
135    ret = net(1, 2)
136    print(ret)
137
138
139def test_ms_syntax_operator_logic_list_int_and_list_str_var():
140    left = [1, 2, 3]
141    right = ["1", "2", "3"]
142    net = LogicAndSpec(left, right)
143    ret = net(1, 2)
144    print(ret)
145
146
147def test_ms_syntax_operator_logic_list_str_and_tensor_int():
148    left = ["1", "2", "3"]
149    right = Tensor(np.ones([2, 2], np.int32))
150    net = LogicAndSpec(left, right)
151    ret = net(1, 2)
152    print(ret)
153