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1. Update pandas, numpy and pyarrow in template-Python3.10 flavor. 2. Deactivate conversion tests for pandas dataframes for `halffloat[pyarrow] + float` and `float16[pyarrow] + float` because in newer versions of pandas this conversion is fixed, but we cannot (yet) use the latest versions in all flavors (pandas 2.1 and later require >= Python3.9) 3. Update ignore list in import_modules.py (due to latest packages in new standard-all flavor) 4. Changed test import_modules.py: Instead of importing ALL python modules in one UDF, fetch first list of installed python packages, and then call UDF one by one. This is to avoid an out-of memory issue. For example, importing sagemaker already allocates ~150MB on the heap.
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...s/python-3.8-minimal-EXASOL-6.2.0/flavor_base/language_deps/packages/python3_pip_packages
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pandas|2.0.2 | ||
pandas|2.0.3 | ||
numpy|1.24.3 | ||
pyarrow|14.0.2 |
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...s/template-Exasol-all-python-3.10/flavor_base/language_deps/packages/python3_pip_packages
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pandas|2.0.2 | ||
numpy|1.24.3 | ||
pyarrow|14.0.2 | ||
pandas|2.2.2 | ||
numpy|1.26.4 | ||
pyarrow|16.0.0 |
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...rs/template-Exasol-all-python-3.8-conda/flavor_base/language_deps/packages/conda_packages
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...mplate-Exasol-all-python-3.8-cuda-conda/flavor_base/language_deps/packages/conda_packages
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