【paddle.distributed.fleet】add data_generator in distributed.fleet.dataset (#27345)
yaoxuefeng
4 years ago
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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from .data_generator import *
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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import paddle
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import paddle.distributed.fleet as fleet
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class SyntheticData(fleet.MultiSlotDataGenerator):
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def generate_sample(self, line):
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def data_iter():
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for i in range(10000):
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yield ("words", [1, 2, 3, 4]), ("label", [0])
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return data_iter
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class SyntheticStringData(fleet.MultiSlotStringDataGenerator):
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def generate_sample(self, line):
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def data_iter():
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for i in range(10000):
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yield [("words", ["1", "2", "3", "4"]), ("label", ["0"])]
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return data_iter
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sd = SyntheticData()
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sd.run_from_memory()
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sd2 = SyntheticStringData()
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sd2.run_from_memory()
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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import sys
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import os
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import paddle
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import re
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import collections
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import time
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import paddle.distributed.fleet as fleet
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class MyDataset(fleet.MultiSlotDataGenerator):
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def generate_sample(self, line):
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def data_iter():
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elements = line.strip().split()[0:]
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output = [("show", [int(elements[0])]),
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("click", [int(elements[1])]),
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("slot1", [int(elements[2])])]
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yield output
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return data_iter
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if __name__ == "__main__":
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d = MyDataset()
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d.run_from_stdin()
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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import paddle
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import unittest
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import paddle.distributed.fleet as fleet
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import os
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import sys
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import platform
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class MyMultiSlotDataGenerator(fleet.MultiSlotDataGenerator):
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def generate_sample(self, line):
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def data_iter():
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for i in range(40):
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if i == 1:
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yield None
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yield ("words", [1, 2, 3, 4]), ("label", [0])
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return data_iter
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class MyMultiSlotStringDataGenerator(fleet.MultiSlotStringDataGenerator):
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def generate_sample(self, line):
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def data_iter():
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for i in range(40):
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if i == 1:
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yield None
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yield ("words", ["1", "2", "3", "4"]), ("label", ["0"])
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return data_iter
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class MyMultiSlotDataGenerator_error(fleet.MultiSlotDataGenerator):
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def generate_sample(self, line):
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def data_iter():
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for i in range(40):
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if i == 1:
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yield None
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yield "words"
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return data_iter
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class MyMultiSlotDataGenerator_error_2(fleet.MultiSlotStringDataGenerator):
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def generate_sample(self, line):
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def data_iter():
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for i in range(40):
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if i == 1:
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yield None
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yield "words"
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return data_iter
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class MyMultiSlotDataGenerator_error_3(fleet.MultiSlotDataGenerator):
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def generate_sample(self, line):
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def data_iter():
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for i in range(40):
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if i == 1:
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yield None
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yield (1, ["1", "2", "3", "4"]), (2, ["0"])
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return data_iter
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class MyMultiSlotDataGenerator_error_4(fleet.MultiSlotDataGenerator):
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def generate_sample(self, line):
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def data_iter():
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for i in range(40):
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if i == 1:
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yield None
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yield ("words", "1"), ("label", "0")
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return data_iter
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class MyMultiSlotDataGenerator_error_5(fleet.MultiSlotDataGenerator):
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def generate_sample(self, line):
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def data_iter():
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for i in range(40):
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if i == 1:
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yield None
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yield ("words", []), ("label", [])
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return data_iter
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class TestMultiSlotDataGenerator(unittest.TestCase):
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def test_MultiSlotDataGenerator_basic(self):
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my_ms_dg = MyMultiSlotDataGenerator()
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my_ms_dg.set_batch(1)
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my_ms_dg.run_from_memory()
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class TestMultiSlotStringDataGenerator(unittest.TestCase):
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def test_MyMultiSlotStringDataGenerator_basic(self):
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my_ms_dg = MyMultiSlotStringDataGenerator()
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my_ms_dg.set_batch(1)
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my_ms_dg.run_from_memory()
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class TestMultiSlotStringDataGenerator_2(unittest.TestCase):
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def test_MyMultiSlotStringDataGenerator_stdin(self):
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plats = platform.platform()
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if 'Linux' not in plats:
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print("skip pipecommand UT on MacOS/Win")
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return
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with open("test_queue_dataset_run_a.txt", "w") as f:
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data = "2 1 2\n"
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data += "2 6 2\n"
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data += "2 5 2\n"
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data += "2 7 2\n"
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f.write(data)
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tmp = os.popen(
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"cat test_queue_dataset_run_a.txt | python my_data_generator.py"
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).readlines()
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expected_res = [
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'1 2 1 1 1 2\n', '1 2 1 6 1 2\n', '1 2 1 5 1 2\n', '1 2 1 7 1 2\n'
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]
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self.assertEqual(tmp, expected_res)
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os.remove("./test_queue_dataset_run_a.txt")
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class TestMultiSlotDataGenerator_error(unittest.TestCase):
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def test_MultiSlotDataGenerator_error(self):
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with self.assertRaises(ValueError):
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my_ms_dg = MyMultiSlotDataGenerator_error()
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my_ms_dg.set_batch(1)
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my_ms_dg.run_from_memory()
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class TestMultiSlotDataGenerator_error_2(unittest.TestCase):
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def test_MultiSlotDataGenerator_error(self):
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with self.assertRaises(ValueError):
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my_ms_dg = MyMultiSlotDataGenerator_error_2()
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my_ms_dg.set_batch(1)
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my_ms_dg.run_from_memory()
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class TestMultiSlotDataGenerator_error_3(unittest.TestCase):
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def test_MultiSlotDataGenerator_error(self):
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with self.assertRaises(ValueError):
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my_ms_dg = MyMultiSlotDataGenerator_error_3()
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my_ms_dg.set_batch(1)
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my_ms_dg.run_from_memory()
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class TestMultiSlotDataGenerator_error_4(unittest.TestCase):
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def test_MultiSlotDataGenerator_error(self):
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with self.assertRaises(ValueError):
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my_ms_dg = MyMultiSlotDataGenerator_error_4()
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my_ms_dg.set_batch(1)
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my_ms_dg.run_from_memory()
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class TestMultiSlotDataGenerator_error_5(unittest.TestCase):
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def test_MultiSlotDataGenerator_error(self):
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with self.assertRaises(ValueError):
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my_ms_dg = MyMultiSlotDataGenerator_error_5()
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my_ms_dg.set_batch(1)
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my_ms_dg.run_from_memory()
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if __name__ == '__main__':
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unittest.main()
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