use pre-built pyarrow for pi image
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build_helpers/pyarrow-9.0.0-cp39-cp39-linux_armv7l.whl
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build_helpers/pyarrow-9.0.0-cp39-cp39-linux_armv7l.whl
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@ -11,7 +11,7 @@ ENV FT_APP_ENV="docker"
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# Prepare environment
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RUN mkdir /freqtrade \
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&& apt-get update \
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&& apt-get -y install sudo libatlas3-base curl sqlite3 libhdf5-dev \
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&& apt-get -y install sudo libatlas3-base curl sqlite3 libhdf5-dev libutf8proc-dev libsnappy-dev \
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&& apt-get clean \
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&& useradd -u 1000 -G sudo -U -m ftuser \
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&& chown ftuser:ftuser /freqtrade \
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@ -37,6 +37,7 @@ ENV LD_LIBRARY_PATH /usr/local/lib
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COPY --chown=ftuser:ftuser requirements.txt /freqtrade/
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USER ftuser
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RUN pip install --user --no-cache-dir numpy \
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&& pip install --user /tmp/pyarrow-*.whl \
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&& pip install --user --no-cache-dir -r requirements.txt
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# Copy dependencies to runtime-image
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