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2a5882578a
* Integrate LFQA with Haystack * Integrate LFQA with Haystack - unit tests * Properly initialize conftest default value for vector_dim * Update PR after inital feedback * Fix conftest.py import * Seq2SeqGenerator uses Callables instead of subclasses for custom model input * Update docstring * Fix Callable use * Add LFQA tutorials * Improve type error reporting for invalid input converter Callable * Generate docstrings * Format comments in tutorial script * Generate tutorial md * Add usage page Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai> Co-authored-by: brandenchan <brandenchan@icloud.com>
13 lines
722 B
INI
13 lines
722 B
INI
[pytest]
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addopts = --strict-markers
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markers =
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slow: marks tests as slow (deselect with '-m "not slow"')
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tika: marks tests which require tika container (deselect with '-m "not tika"')
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elasticsearch: marks tests which require elasticsearch container (deselect with '-m "not elasticsearch"')
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graphdb: marks tests which require graphdb container (deselect with '-m "not graphdb"')
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generator: marks generator tests (deselect with '-m "not generator"')
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pipeline: marks tests with pipeline
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summarizer: marks summarizer tests
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weaviate: marks tests that require weaviate container
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vector_dim: marks usage of document store with non-default embedding dimension (e.g @pytest.mark.vector_dim(128))
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