54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
import pytest
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from quapy.data.datasets import REVIEWS_SENTIMENT_DATASETS, TWITTER_SENTIMENT_DATASETS_TEST, \
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TWITTER_SENTIMENT_DATASETS_TRAIN, UCI_DATASETS, LEQUA2022_TASKS, \
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fetch_reviews, fetch_twitter, fetch_UCIDataset, fetch_lequa2022
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@pytest.mark.parametrize('dataset_name', REVIEWS_SENTIMENT_DATASETS)
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def test_fetch_reviews(dataset_name):
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dataset = fetch_reviews(dataset_name)
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print(f'Dataset {dataset_name}')
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print('Training set stats')
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dataset.training.stats()
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print('Test set stats')
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dataset.test.stats()
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@pytest.mark.parametrize('dataset_name', TWITTER_SENTIMENT_DATASETS_TEST + TWITTER_SENTIMENT_DATASETS_TRAIN)
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def test_fetch_twitter(dataset_name):
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try:
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dataset = fetch_twitter(dataset_name)
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except ValueError as ve:
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if dataset_name == 'semeval' and ve.args[0].startswith(
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'dataset "semeval" can only be used for model selection.'):
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dataset = fetch_twitter(dataset_name, for_model_selection=True)
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print(f'Dataset {dataset_name}')
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print('Training set stats')
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dataset.training.stats()
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print('Test set stats')
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@pytest.mark.parametrize('dataset_name', UCI_DATASETS)
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def test_fetch_UCIDataset(dataset_name):
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try:
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dataset = fetch_UCIDataset(dataset_name)
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except FileNotFoundError as fnfe:
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if dataset_name == 'pageblocks.5' and fnfe.args[0].find(
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'If this is the first time you attempt to load this dataset') > 0:
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print('The pageblocks.5 dataset requires some hand processing to be usable, skipping this test.')
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return
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print(f'Dataset {dataset_name}')
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print('Training set stats')
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dataset.training.stats()
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print('Test set stats')
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@pytest.mark.parametrize('dataset_name', LEQUA2022_TASKS)
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def test_fetch_lequa2022(dataset_name):
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fetch_lequa2022(dataset_name)
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# dataset = fetch_lequa2022(dataset_name)
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# print(f'Dataset {dataset_name}')
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# print('Training set stats')
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# dataset.training.stats()
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# print('Test set stats') |