Comments (1)
Currently, there seem to be other admonitions, only .NET/C# submits them the PR.
While it does not look that much important, it is important to reduce regular reporting and notification noise on this repository, and to take care of those details rigidly, so that significant signals received from this repository stand out, and will bring their value in notifying us early about any havocs which may have been introduced to the software components tested here in one way or another.
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Related Issues (20)
- AutoML: Test harness trips when installing `catboost` on macOS with Python 3.11, works with Python 3.10
- Add examples on how to use CrateDB with Polars in Write and Read operations.
- Improve tutorials about Apache Superset HOT 1
- Dependency installation fails on Google Colab for `cratedb-vectorstore-rag-openai-sql.ipynb`
- LLM example `document_loader.ipynb` fails HOT 4
- ODBC on Windows, pyodbc, and unixODBC
- [Testing] Demonstrate CrateDB test layers with parameterization
- LangChain: `cratedb_rag_customer_support.ipynb` trips with `CellTimeoutError` HOT 2
- AutoML: CI trips with `ValueError: Input contains NaN.` HOT 7
- AutoML: CI trips with `CellTimeoutError` HOT 2
- Issue with requirements.txt HOT 3
- CI job trips on Apache Superset 2.x: `AttributeError: module 'flask.json' has no attribute 'JSONEncoder'` HOT 5
- [Tech Writing] CrateDB for Pythonistas with SQLAlchemy HOT 1
- [Java] crate-java-testing
- Issue with time series forecasting with pycaret notebook HOT 2
- Time Series: Modernize notebooks to use recent versions of pandas and SQLAlchemy
- Apache Kafka Streaming with PyFlink
- Use Python 3.10 on CI, at least for Jupyter Notebooks HOT 1
- RAG: Problems resolving dependencies on Google Colab HOT 3
- TSML: Error in `timeseries-anomaly-detection.ipynb` HOT 5
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