forked from huawei/mindspore2022
409 lines
11 KiB
Python
409 lines
11 KiB
Python
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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""" test partial"""
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from functools import partial
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import numpy as np
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import pytest
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from mindspore import nn, Tensor, context
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context.set_context(mode=context.GRAPH_MODE)
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def test_partial_pos_arg():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_pos_arg
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self, x, y, z):
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f = partial(self.show, x)
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ret = f(y, z)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self, x, y, z):
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f = partial(self.show, x)
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ret = f(y, z)
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return ret
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x = Tensor(np.arange(3).reshape((3,)).astype(np.float32))
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y = Tensor(np.arange(3 * 4).reshape((3, 4)).astype(np.float32))
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z = Tensor(np.arange(3 * 4 * 5).reshape((3, 4, 5)).astype(np.float32))
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for net in [Net(), Net2()]:
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net(x, y, z)
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def test_partial_key_ward_arg():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_key_ward_arg
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self, x, y, z):
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f = partial(self.show, x=x)
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ret = f(y=y, z=z)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self, x, y, z):
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f = partial(self.show, x=x)
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ret = f(y=y, z=z)
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return ret
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x = Tensor(np.arange(3).reshape((3,)).astype(np.float32))
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y = Tensor(np.arange(3 * 4).reshape((3, 4)).astype(np.float32))
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z = Tensor(np.arange(3 * 4 * 5).reshape((3, 4, 5)).astype(np.float32))
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for net in [Net(), Net2()]:
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net(x, y, z)
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def test_partial_key_ward_arg_update():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_key_ward_arg_update
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self, x, y, z):
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f = partial(self.show, x=x, y=y)
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ret = f(y=y, z=z)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self, x, y, z):
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f = partial(self.show, x=x, y=y)
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ret = f(y=y, z=z)
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return ret
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x = Tensor(np.arange(3).reshape((3,)).astype(np.float32))
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y = Tensor(np.arange(3 * 4).reshape((3, 4)).astype(np.float32))
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z = Tensor(np.arange(3 * 4 * 5).reshape((3, 4, 5)).astype(np.float32))
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for net in [Net(), Net2()]:
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net(x, y, z)
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def test_partial_key_ward_arg_and_pos_arg():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_key_ward_arg_and_pos_arg
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self, x, y, z):
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f = partial(self.show, y=y)
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ret = f(2, z=z)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self, x, y, z):
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f = partial(self.show, y=y)
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ret = f(2, z=z)
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return ret
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x = Tensor(np.arange(3).reshape((3,)).astype(np.float32))
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y = Tensor(np.arange(3 * 4).reshape((3, 4)).astype(np.float32))
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z = Tensor(np.arange(3 * 4 * 5).reshape((3, 4, 5)).astype(np.float32))
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for net in [Net(), Net2()]:
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net(x, y, z)
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def test_partial_pos_arg_const():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_pos_arg_const
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self):
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f = partial(self.show, 1)
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ret = f(2, 3)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self):
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f = partial(self.show, 1)
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ret = f(2, 3)
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return ret
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for net in [Net(), Net2()]:
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assert net() == (1, 2, 3)
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def test_partial_key_ward_arg_const():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_key_ward_arg_const
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self):
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f = partial(self.show, x=1)
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ret = f(y=2, z=3)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self):
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f = partial(self.show, x=1)
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ret = f(y=2, z=3)
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return ret
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for net in [Net(), Net2()]:
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assert net() == (1, 2, 3)
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def test_partial_key_ward_arg_update_const():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_key_ward_arg_update_const
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self):
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f = partial(self.show, x=1, y=2)
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ret = f(y=3, z=4)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self):
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f = partial(self.show, x=1, y=2)
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ret = f(y=3, z=4)
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return ret
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for net in [Net(), Net2()]:
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assert net() == (1, 3, 4)
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def test_partial_key_ward_arg_and_pos_arg_const():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_key_ward_arg_and_pos_arg_const
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self):
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f = partial(self.show, y=2)
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ret = f(1, z=3)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self):
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f = partial(self.show, y=2)
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ret = f(1, z=3)
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return ret
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for net in [Net(), Net2()]:
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assert net() == (1, 2, 3)
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def test_partial_key_ward_arg_and_pos_arg_const_multi_assign_x():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_key_ward_arg_and_pos_arg_const_multi_assign_x
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self):
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f = partial(self.show, x=1)
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ret = f(1, 2, 3)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self):
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f = partial(self.show, x=1)
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ret = f(1, 2, 3)
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return ret
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for net in [Net(), Net2()]:
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with pytest.raises(TypeError) as ex:
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net()
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assert "Multiply values for specific argument: x" in str(ex.value)
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def test_partial_key_ward_arg_and_pos_arg_const_multi_assign_y():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_key_ward_arg_and_pos_arg_const_multi_assign_y
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self):
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f = partial(self.show, y=2)
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ret = f(1, 2, z=3)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self):
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f = partial(self.show, y=2)
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ret = f(1, 2, z=3)
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return ret
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for net in [Net(), Net2()]:
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with pytest.raises(TypeError) as ex:
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net()
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assert "Multiply values for specific argument: y" in str(ex.value)
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def test_partial_key_ward_arg_and_pos_arg_const_multi_assign_z():
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"""
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Feature: ALL TO ALL
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Description: test cases for partial_key_ward_arg_and_pos_arg_const_multi_assign_z
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Expectation: the result match given one
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"""
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def show(self, x, y, z):
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return x, y, z
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def construct(self):
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f = partial(self.show, z=1)
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ret = f(1, 2, 3)
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return ret
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class Net2(nn.Cell):
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def __init__(self):
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super(Net2, self).__init__()
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self.show = lambda x, y, z: (x, y, z)
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def construct(self):
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f = partial(self.show, z=1)
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ret = f(1, 2, 3)
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return ret
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for net in [Net(), Net2()]:
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with pytest.raises(TypeError) as ex:
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net()
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assert "Multiply values for specific argument: z" in str(ex.value)
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