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fix(datascience): pin pyarrow version to what our pylock.toml wants
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jupyter/datascience/ubi9-python-3.12/Dockerfile.cpu

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@@ -120,7 +120,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
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dnf install -y cmake make gcc-c++ pybind11-devel wget && \
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dnf clean all && \
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# Build and collect pyarrow wheel
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git clone --depth 1 https://github.com/apache/arrow.git && \
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git clone --depth 1 --branch "apache-arrow-17.0.0" https://github.com/apache/arrow.git && \
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cd arrow/cpp && \
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mkdir release && cd release && \
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cmake -DCMAKE_BUILD_TYPE=Release \

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