allennlp

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[pytest]
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testpaths = tests/ scripts/tests/
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python_classes = Test* *Test
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log_format = %(asctime)s - %(levelname)s - %(name)s - %(message)s
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log_level = DEBUG
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markers =
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    java
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    gpu: marks tests that need at least one GPU
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filterwarnings =
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# Note: When a warning matches more than one option in the list,
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# the action for the _last_ matching option is performed.
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#
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# individual warnings filters are specified as a sequence of fields separated by colons:
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# action:message:category:module:line
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# <reference: https://docs.python.org/3/library/warnings.html#warning-filter>
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#
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# how to explicitly test warns
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#  using `unittest`: https://docs.python.org/3/library/warnings.html#testing-warnings
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#  using `pytest`: https://docs.pytest.org/en/4.1.0/warnings.html#assertwarnings
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#
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# Our policy here is to ignore (silence) any deprecation warnings from _outside_ allennlp, but to
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# treat any _internal_ deprecation warnings as errors.  If we get a deprecation warning from things
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# we call in another library, we will just rely on seeing those outside of tests.  The purpose of
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# having these errors here is to make sure that we do not deprecate things lightly in allennlp.
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    ignore::DeprecationWarning
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    ignore::PendingDeprecationWarning
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    error::DeprecationWarning:allennlp.*:
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    error::PendingDeprecationWarning:allennlp.*:
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# For these particular warnings, we don't want to cause an error for it, but we also don't want to
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# see it a whole bunch of times.
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    once:This particular transformer implementation is a provisional feature.*::allennlp\.modules\.seq2seq_encoders\.bidirectional_language_model_transformer
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	ignore:Length of IterableDataset.*:UserWarning:torch\.utils\.data\.dataloader
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	ignore::UserWarning:allennlp.*:
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