You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
57 lines
1.9 KiB
57 lines
1.9 KiB
# Copyright 2020 Huawei Technologies Co., Ltd
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
# ============================================================================
|
|
""" test not in"""
|
|
import numpy as np
|
|
|
|
import mindspore.nn as nn
|
|
from mindspore import context, Tensor
|
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
|
|
|
|
def test_number_not_in_tuple():
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.tuple_ = (2, 3, 4)
|
|
self.list_ = [2, 3, 4]
|
|
self.dict_ = {"a": Tensor(np.ones([1, 2, 3], np.int32)),
|
|
"b": Tensor(np.ones([1, 2, 3], np.int32)),
|
|
"c": Tensor(np.ones([1, 2, 3], np.int32))}
|
|
self.number_in = 3
|
|
self.number_not_in = 5
|
|
self.str_in = "a"
|
|
self.str_not_in = "e"
|
|
|
|
def construct(self):
|
|
ret = 0
|
|
if self.number_in not in self.tuple_:
|
|
ret += 1
|
|
if self.number_not_in not in self.tuple_:
|
|
ret += 2
|
|
if self.number_in not in self.list_:
|
|
ret += 3
|
|
if self.number_not_in not in self.list_:
|
|
ret += 4
|
|
if self.str_in not in self.dict_:
|
|
ret += 5
|
|
if self.str_not_in not in self.dict_:
|
|
ret += 6
|
|
return ret
|
|
|
|
net = Net()
|
|
output = net()
|
|
assert output == 12
|