# Copyright 2021 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. # ============================================================================== import mindspore.dataset as ds DATA_POLARITY_DIR = '../data/dataset/testYelpReview/polarity' DATA_FULL_DIR = '../data/dataset/testYelpReview/full' def test_yelp_review_polarity_dataset_basic(): """ Feature: Test YelpReviewPolarity Dataset. Description: read data from a single file. Expectation: the data is processed successfully. """ buffer = [] data = ds.YelpReviewDataset(DATA_POLARITY_DIR, usage='test', shuffle=False) data = data.repeat(2) data = data.skip(2) for d in data.create_dict_iterator(num_epochs=1, output_numpy=True): buffer.append(d) assert len(buffer) == 2 def test_yelp_review_full_dataset_basic(): """ Feature: Test YelpReviewFull Dataset. Description: read data from a single file. Expectation: the data is processed successfully. """ buffer = [] data = ds.YelpReviewDataset(DATA_FULL_DIR, usage='test', shuffle=False) data = data.repeat(2) data = data.skip(2) for d in data.create_dict_iterator(num_epochs=1, output_numpy=True): buffer.append(d) assert len(buffer) == 2 def test_yelp_review_dataset_quoted(): """ Feature: Test get the YelpReview Dataset. Description: read YelpReviewPolarityDataset data and get data. Expectation: the data is processed successfully. """ data = ds.YelpReviewDataset(DATA_POLARITY_DIR, usage='test', shuffle=False) buffer = [] for d in data.create_dict_iterator(num_epochs=1, output_numpy=True): buffer.extend([d['label'].item().decode("utf8"), d['text'].item().decode("utf8")]) assert buffer == ["2", "\\\"Yelp\\\" service was very good.\\n", "1", "\\\"Yelp\\\" service was very bad.\\n"] def test_yelp_review_dataset_usage_all(): """ Feature: Test YelpReviewPolarity Dataset(usage=all). Description: read train data and test data. Expectation: the data is processed successfully. """ buffer = [] data = ds.YelpReviewDataset(DATA_POLARITY_DIR, usage='all', shuffle=False) for d in data.create_dict_iterator(num_epochs=1, output_numpy=True): buffer.append(d) assert len(buffer) == 5 def test_yelp_review_dataset_get_datasetsize(): """ Feature: Test Getters. Description: test get_dataset_size of YelpReview dataset. Expectation: the data is processed successfully. """ data = ds.YelpReviewDataset(DATA_POLARITY_DIR, usage='test', shuffle=False) size = data.get_dataset_size() assert size == 2 def test_yelp_review_dataset_distribution(): """ Feature: Test YelpReviewDataset in distribution. Description: test in a distributed state. Expectation: the data is processed successfully. """ data = ds.YelpReviewDataset(DATA_POLARITY_DIR, usage='test', shuffle=False, num_shards=2, shard_id=0) count = 0 for _ in data.create_dict_iterator(num_epochs=1, output_numpy=True): count += 1 assert count == 1 def test_yelp_review_dataset_num_samples(): """ Feature: Test YelpReview Dataset(num_samples = 2). Description: test get num_samples. Expectation: the data is processed successfully. """ data = ds.YelpReviewDataset(DATA_POLARITY_DIR, usage='test', shuffle=False, num_samples=2) count = 0 for _ in data.create_dict_iterator(num_epochs=1, output_numpy=True): count += 1 assert count == 2 def test_yelp_review_dataset_exception(): """ Feature: Error Test. Description: test the wrong input. Expectation: unable to read in data. """ def exception_func(item): raise Exception("Error occur!") try: data = ds.YelpReviewDataset(DATA_POLARITY_DIR, usage='test', shuffle=False) data = data.map(operations=exception_func, input_columns=["label"], num_parallel_workers=1) for _ in data.create_dict_iterator(): pass assert False except RuntimeError as e: assert "map operation: [PyFunc] failed. The corresponding data files" in str(e) try: data = ds.YelpReviewDataset(DATA_POLARITY_DIR, usage='test', shuffle=False) data = data.map(operations=exception_func, input_columns=["text"], num_parallel_workers=1) for _ in data.create_dict_iterator(): pass assert False except RuntimeError as e: assert "map operation: [PyFunc] failed. The corresponding data files" in str(e) if __name__ == "__main__": test_yelp_review_polarity_dataset_basic() test_yelp_review_full_dataset_basic() test_yelp_review_dataset_quoted() test_yelp_review_dataset_usage_all() test_yelp_review_dataset_get_datasetsize() test_yelp_review_dataset_distribution() test_yelp_review_dataset_num_samples() test_yelp_review_dataset_exception()