297 lines
10 KiB
Python
297 lines
10 KiB
Python
# Copyright 2022 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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import pytest
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import mindspore.dataset as ds
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from mindspore import log as logger
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from util import config_get_set_num_parallel_workers, config_get_set_seed
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DATA_FILE = "../data/dataset/testEnWik9Dataset"
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def test_enwik9_total_rows_dataset_num_samples_none():
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"""
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Feature: EnWik9Dataset
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Description: Test the function while param num_samples = 0
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Expectation: The number of samples is 13
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"""
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# Do not provide a num_samples argument, so it would be None by default.
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data = ds.EnWik9Dataset(DATA_FILE)
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count = 0
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for i in data.create_dict_iterator(num_epochs=1, output_numpy=True):
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logger.info("{}".format(i["text"]))
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count += 1
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assert count == 13
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def test_enwik9_total_rows_dataset_shuffle_false_parallel_worker_two():
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"""
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Feature: EnWik9Dataset
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Description: Test the function while param shuffle = False
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Expectation: The samples is ordered
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"""
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original_num_parallel_workers = config_get_set_num_parallel_workers(2)
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original_seed = config_get_set_seed(987)
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data = ds.EnWik9Dataset(DATA_FILE, shuffle=False)
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count = 0
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line = [" <page>",
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" <title>MindSpore</title>",
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" <id>1</id>",
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" <revision>",
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" <id>234</id>",
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" <timestamp>2020-01-01T00:00:00Z</timestamp>",
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" <contributor>",
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" <username>MS</username>",
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" <id>567</id>",
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" </contributor>",
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" <text xml:space=\"preserve\">666</text>",
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" </revision>",
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" </page>"]
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for i in data.create_dict_iterator(num_epochs=1, output_numpy=True):
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strs = i["text"].item().decode("utf8")
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assert strs == line[count]
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count += 1
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assert count == 13
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# Restore configuration.
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ds.config.set_num_parallel_workers(original_num_parallel_workers)
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ds.config.set_seed(original_seed)
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def test_enwik9_total_rows_dataset_shuffle_false_parallel_worker_one():
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"""
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Feature: EnWik9Dataset
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Description: Test the function while param shuffle = False
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Expectation: The samples is ordered
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"""
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original_num_parallel_workers = config_get_set_num_parallel_workers(1)
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original_seed = config_get_set_seed(987)
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data = ds.EnWik9Dataset(DATA_FILE, shuffle=False)
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count = 0
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line = [" <page>",
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" <title>MindSpore</title>",
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" <id>1</id>",
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" <revision>",
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" <id>234</id>",
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" <timestamp>2020-01-01T00:00:00Z</timestamp>",
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" <contributor>",
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" <username>MS</username>",
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" <id>567</id>",
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" </contributor>",
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" <text xml:space=\"preserve\">666</text>",
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" </revision>",
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" </page>"]
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for i in data.create_dict_iterator(num_epochs=1, output_numpy=True):
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strs = i["text"].item().decode("utf8")
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assert strs == line[count]
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count += 1
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assert count == 13
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# Restore configuration.
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ds.config.set_num_parallel_workers(original_num_parallel_workers)
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ds.config.set_seed(original_seed)
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def test_enwik9_total_rows_dataset_shuffle_true_parallel_worker_two():
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"""
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Feature: EnWik9Dataset
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Description: Test the function while param shuffle = True
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Expectation: The samples is disorder
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"""
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original_num_parallel_workers = config_get_set_num_parallel_workers(2)
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original_seed = config_get_set_seed(135)
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data = ds.EnWik9Dataset(DATA_FILE, shuffle=True)
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count = 0
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line = [" <username>MS</username>",
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" <title>MindSpore</title>",
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" <id>234</id>",
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" </revision>",
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" </contributor>",
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" <revision>",
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" <id>567</id>",
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" <timestamp>2020-01-01T00:00:00Z</timestamp>",
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" <id>1</id>",
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" </page>",
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" <page>",
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" <text xml:space=\"preserve\">666</text>",
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" <contributor>"]
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for i in data.create_dict_iterator(num_epochs=1, output_numpy=True):
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strs = i["text"].item().decode("utf8")
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assert strs == line[count]
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count += 1
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assert count == 13
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# Restore configuration.
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ds.config.set_num_parallel_workers(original_num_parallel_workers)
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ds.config.set_seed(original_seed)
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def test_enwik9_total_rows_dataset_shuffle_true_parallel_worker_one():
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"""
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Feature: EnWik9Dataset
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Description: Test the function while param shuffle = True
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Expectation: The samples is disorder
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"""
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original_num_parallel_workers = config_get_set_num_parallel_workers(1)
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original_seed = config_get_set_seed(135)
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data = ds.EnWik9Dataset(DATA_FILE, shuffle=True)
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count = 0
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line = [" <username>MS</username>",
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" <title>MindSpore</title>",
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" <id>234</id>",
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" </revision>",
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" </contributor>",
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" <revision>",
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" <id>567</id>",
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" <timestamp>2020-01-01T00:00:00Z</timestamp>",
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" <id>1</id>",
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" </page>",
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" <page>",
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" <text xml:space=\"preserve\">666</text>",
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" <contributor>"]
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for i in data.create_dict_iterator(num_epochs=1, output_numpy=True):
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strs = i["text"].item().decode("utf8")
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assert strs == line[count]
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count += 1
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assert count == 13
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# Restore configuration.
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ds.config.set_num_parallel_workers(original_num_parallel_workers)
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ds.config.set_seed(original_seed)
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def test_enwik9_dataset_num_samples():
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"""
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Feature: EnWik9Dataset
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Description: Test param num_samples, while it = 2
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Expectation: The number of samples = 2
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"""
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data = ds.EnWik9Dataset(DATA_FILE, num_samples=2)
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count = 0
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for _ in data.create_dict_iterator(num_epochs=1, output_numpy=True):
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count += 1
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assert count == 2
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def test_enwik9_dataset_distribution():
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"""
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Feature: EnWik9Dataset
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Description: Test distribution of the dataset
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Expectation: count = 7
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"""
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data = ds.EnWik9Dataset(DATA_FILE, num_shards=2, shard_id=1)
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count = 0
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for _ in data.create_dict_iterator(num_epochs=1, output_numpy=True):
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count += 1
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assert count == 7
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def test_enwik9_total_rows_dataset_repeat():
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"""
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Feature: EnWik9Dataset
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Description: Test the function whie the samples are repeat
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Expectation: count = 26
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"""
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data = ds.EnWik9Dataset(DATA_FILE, shuffle=False)
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data = data.repeat(2)
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count = 0
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line = [" <page>",
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" <title>MindSpore</title>",
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" <id>1</id>",
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" <revision>",
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" <id>234</id>",
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" <timestamp>2020-01-01T00:00:00Z</timestamp>",
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" <contributor>",
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" <username>MS</username>",
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" <id>567</id>",
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" </contributor>",
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" <text xml:space=\"preserve\">666</text>",
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" </revision>",
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" </page>",
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" <page>",
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" <title>MindSpore</title>",
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" <id>1</id>",
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" <revision>",
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" <id>234</id>",
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" <timestamp>2020-01-01T00:00:00Z</timestamp>",
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" <contributor>",
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" <username>MS</username>",
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" <id>567</id>",
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" </contributor>",
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" <text xml:space=\"preserve\">666</text>",
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" </revision>",
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" </page>"]
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for i in data.create_dict_iterator(num_epochs=1, output_numpy=True):
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strs = i["text"].item().decode("utf8")
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assert strs == line[count]
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count += 1
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assert count == 26
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def test_enwik9_total_rows_dataset_get_datasetsize():
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"""
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Feature: EnWik9Dataset
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Description: Test the function, get_dataset_size()
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Expectation: size = 13
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"""
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data = ds.EnWik9Dataset(DATA_FILE)
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size = data.get_dataset_size()
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assert size == 13
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def test_enwik9_total_rows_dataset_to_device():
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"""
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Feature: EnWik9Dataset
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Description: Test the function, to_device()
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Expectation: size = 13
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"""
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data = ds.EnWik9Dataset(DATA_FILE, shuffle=False)
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data = data.to_device()
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data.send()
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def test_enwik9_dataset_exceptions():
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"""
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Feature: EnWik9Dataset
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Description: Test the errors which appear possibly
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Expectation: The errors are expected correctly
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"""
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with pytest.raises(ValueError) as error_info:
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_ = ds.EnWik9Dataset("does/not/exist/")
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assert "does not exist or is not a directory or permission denied" in str(error_info.value)
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with pytest.raises(ValueError) as error_info:
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_ = ds.EnWik9Dataset("")
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assert "The folder does not exist or is not a directory or permission denied" in str(error_info.value)
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def exception_func(item):
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raise Exception("Error occur!")
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with pytest.raises(RuntimeError) as error_info:
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data = ds.EnWik9Dataset(DATA_FILE)
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data = data.map(operations=exception_func, input_columns=["text"], num_parallel_workers=1)
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for _ in data.__iter__():
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pass
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assert "map operation: [PyFunc] failed. The corresponding data files" in str(error_info.value)
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if __name__ == "__main__":
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test_enwik9_total_rows_dataset_num_samples_none()
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test_enwik9_total_rows_dataset_shuffle_false_parallel_worker_two()
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test_enwik9_total_rows_dataset_shuffle_false_parallel_worker_one()
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test_enwik9_total_rows_dataset_shuffle_true_parallel_worker_two()
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test_enwik9_total_rows_dataset_shuffle_true_parallel_worker_one()
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test_enwik9_dataset_num_samples()
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test_enwik9_dataset_distribution()
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test_enwik9_total_rows_dataset_repeat()
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test_enwik9_total_rows_dataset_get_datasetsize()
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test_enwik9_total_rows_dataset_to_device()
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test_enwik9_dataset_exceptions()
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