enforce same index values before and after saving/loading eval dataframes #2398
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ZanSara
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Apr 13, 2022
ZanSara
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* Remove FARMReader kwargs without trying to replace them functionally * Update Documentation & Code Style * enforce same index values before and after saving/loading eval dataframes (#2398) * Add tests for missing `__init__` and `super().__init__()` in custom nodes (#2350) * Add tests for missing init and super * Update Documentation & Code Style * change in with endswith * Move test in pipeline.py and change test in pipeline_yaml.py * Update Documentation & Code Style * Use caplog to test the warning * Update Documentation & Code Style * move tests into test_pipeline and use get_config * Update Documentation & Code Style * Unmock version name
ZanSara
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Apr 14, 2022
* Add failing test * Remove `**kwargs` from docstores' `__init__` functions (#2407) * Remove kwargs from ESDocStore subclasses * Remove kwargs from subclasses of SQLDocumentStore * Remove kwargs from Weaviate * Revert change in pinecone * Fix tests * Fix retriever test wirh weaviate * Change Exception into DocumentStoreError * Update Documentation & Code Style * Remove `**kwargs` from `FARMReader` (#2413) * Remove FARMReader kwargs without trying to replace them functionally * Update Documentation & Code Style * enforce same index values before and after saving/loading eval dataframes (#2398) * Add tests for missing `__init__` and `super().__init__()` in custom nodes (#2350) * Add tests for missing init and super * Update Documentation & Code Style * change in with endswith * Move test in pipeline.py and change test in pipeline_yaml.py * Update Documentation & Code Style * Use caplog to test the warning * Update Documentation & Code Style * move tests into test_pipeline and use get_config * Update Documentation & Code Style * Unmock version name * Improve variadic args test * Update Documentation & Code Style Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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Proposed changes:
reset_index()before returning dataframeStatus (please check what you already did):