Martin-Molinero
fed1b6e780
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- Adding pyvinecopulib to foundation. Adding unit test
200 lines
8.8 KiB
Plaintext
200 lines
8.8 KiB
Plaintext
# This is a version of DockerfileLeanFoundation for ARM
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# Some packages from the AMD image are excluded because they are not available on ARM or take too long to build
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# Use base system for cleaning up wayward processes
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FROM phusion/baseimage:focal-1.0.0
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MAINTAINER QuantConnect <contact@quantconnect.com>
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# Use baseimage-docker's init system.
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CMD ["/sbin/my_init"]
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# Have to add env TZ=UTC. See https://github.com/dotnet/coreclr/issues/602
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RUN env TZ=UTC
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# Install OS Packages:
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# Misc tools for running Python.NET and IB inside a headless container.
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RUN add-apt-repository ppa:ubuntu-toolchain-r/test && apt-get update
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RUN add-apt-repository ppa:apt-fast/stable && apt-get update && apt-get -y install apt-fast
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RUN apt-get update && apt-fast install -y git libgtk2.0.0 cmake bzip2 curl unzip wget python3-pip python-opengl zlib1g-dev \
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xvfb libxrender1 libxtst6 libxi6 libglib2.0-dev libopenmpi-dev libstdc++6 openmpi-bin \
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r-base pandoc libcurl4-openssl-dev \
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openjdk-8-jdk openjdk-8-jre bbe \
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&& apt-fast clean && apt-get remove -y apt-fast && apt-get clean && apt-get autoclean && apt-get autoremove --purge -y \
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&& rm -rf /var/lib/apt/lists/*
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# Install IB Gateway: Installs to /root/ibgateway
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# We update the install script so it doesn't use the bundled JVM
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# The bundled JVM doesn't work on ARM64, so we update it to use the JVM installed in the previous command
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RUN mkdir -p /root/ibgateway && \
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wget https://cdn.quantconnect.com/interactive/ibgateway-latest-standalone-linux-x64.v10.12.2d.sh && \
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java_patch_version=$(java -version 2>&1 | head -n 1 | cut -d'_' -f2 | cut -d'"' -f1) && \
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bbe -e 's|# INSTALL4J_JAVA_HOME_OVERRIDE=|INSTALL4J_JAVA_HOME_OVERRIDE="/usr/lib/jvm/java-1.8.0-openjdk-arm64"|' -e "s|-lt \"152\"|-lt \"$java_patch_version\"|" -e "s|-gt \"152\"|-gt \"$java_patch_version\"|" ibgateway-latest-standalone-linux-x64.v10.12.2d.sh > ibgateway-stable-standalone-linux-custom-jvm.sh && \
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chmod 777 ibgateway-stable-standalone-linux-custom-jvm.sh && \
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./ibgateway-stable-standalone-linux-custom-jvm.sh -q -dir /root/ibgateway && \
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rm ibgateway-latest-standalone-linux-x64.v10.12.2d.sh ibgateway-stable-standalone-linux-custom-jvm.sh && \
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sed -i "s/-lt \"152\"/-lt \"$java_patch_version\"/" /root/ibgateway/ibgateway && \
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sed -i "s/-gt \"152\"/-gt \"$java_patch_version\"/" /root/ibgateway/ibgateway
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# Install dotnet 6 sdk & runtime
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# The .deb packages don't support ARM, the install script does
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ENV PATH="/root/.dotnet:${PATH}"
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RUN wget https://dot.net/v1/dotnet-install.sh && \
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chmod 777 dotnet-install.sh && \
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./dotnet-install.sh -c 6.0 && \
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rm dotnet-install.sh
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ENV DOTNET_ROOT="/root/.dotnet"
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# Set PythonDLL variable for PythonNet
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ENV PYTHONNET_PYDLL="/opt/miniforge3/lib/libpython3.8.so"
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# Install miniforge
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# miniconda doesn't support ARM, so we use miniforge instead
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ENV PATH="/opt/miniforge3/bin:${PATH}"
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RUN wget -O Miniforge3.sh https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh && \
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bash Miniforge3.sh -b -p /opt/miniforge3 && \
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rm Miniforge3.sh && \
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conda config --append channels https://repo.anaconda.com/pkgs/main && \
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conda install -y conda=4.10.3 && \
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pip install --upgrade --no-cache-dir pip==22.2.2 && \
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conda install -y python=3.8.13 && conda install -y -c conda-forge pip=22.2.2 && conda clean -y --all
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# Avoid pip install read timeouts
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ENV PIP_DEFAULT_TIMEOUT=120
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# Install numpy first to avoid it not being resolved when installing libraries that depend on it next
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RUN pip install --no-cache-dir numpy==1.22.4
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# The list of packages in this image is shorter than the list in the AMD images
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# This list only includes packages that can be installed within 2 minutes on ARM
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RUN pip install --no-cache-dir \
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cython==0.29.30 \
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pandas==1.4.4 \
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scipy==1.8.1 \
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numpy==1.22.4 \
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wrapt==1.14.1 \
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astropy==5.1 \
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beautifulsoup4==4.11.1 \
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dill==0.3.5.1 \
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jsonschema==4.9.1 \
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msgpack==1.0.3 \
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numba==0.56.0 \
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xarray==2022.6.0 \
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plotly==5.9.0 \
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jupyterlab==3.4.4 \
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docutils==0.19 \
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keras==2.10.0 \
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lightgbm==3.3.2 \
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nltk==3.7 \
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graphviz==0.8.4 \
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cmdstanpy==1.0.4 \
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copulae==0.7.7 \
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featuretools==0.18.1 \
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PuLP==2.6.0 \
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rauth==0.7.3 \
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scikit-multiflow==0.5.3 \
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scikit-optimize==0.9.0 \
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aesara==2.7.9 \
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tweepy==4.10.0 \
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PyWavelets==1.3.0 \
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copulas==0.7.0 \
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cufflinks==0.17.3 \
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gym==0.23.1 \
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ipywidgets==8.0.0rc1 \
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deap==1.3.3 \
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cvxpy==1.2.1 \
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pykalman==0.9.5 \
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pyro-ppl==1.8.2 \
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sklearn-json==0.1.0 \
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dtw-python==1.2.2 \
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mxnet==1.9.1 \
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gluonts==0.7.7 \
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gplearn==0.4.2 \
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jax==0.3.16 \
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pennylane==0.25.1 \
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mplfinance==0.12.9b1 \
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hmmlearn==0.2.7 \
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ta==0.10.1 \
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seaborn==0.11.2 \
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optuna==2.10.1 \
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findiff==0.9.2 \
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sktime==0.13.1 \
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hyperopt==0.2.7 \
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bayesian-optimization==1.2.0 \
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rpy2==3.5.3 \
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matplotlib==3.5.3 \
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sdeint==0.3.0 \
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pandas_market_calendars==3.5 \
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ruptures==1.1.7 \
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simpy==4.0.1 \
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scikit-learn-extra==0.2.0 \
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fastText==0.9.2 \
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tigramite==5.0.0.1 \
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h2o==3.36.1.4 \
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prophet==1.1.1 \
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Riskfolio-Lib==3.3.0 \
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nbeats-pytorch==1.6.0 \
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torch==1.12.1 \
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torchvision==0.13.1 \
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ax-platform==0.2.7.2 \
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alphalens-reloaded==0.4.2 \
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pyfolio-reloaded==0.9.4 \
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altair==4.2.0 \
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stellargraph==1.2.1 \
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modin==0.15.3 \
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persim==0.3.1 \
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ripser==0.6.4 \
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pydmd==0.4.0.post2209 \
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EMD-signal==1.2.3 \
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spacy==3.4.1 \
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pandas-ta==0.3.14b \
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pytorch-ignite==0.4.10 \
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tensorly==0.7.0 \
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mlxtend==0.20.0 \
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shap==0.41.0 \
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lime==0.2.0.1 \
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mpmath==1.2.1 \
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stockstats==0.4.1 \
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QuantStats==0.0.59 \
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hurst==0.0.5 \
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numerapi==2.12.4 \
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pymdptoolbox==4.0-b3 \
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fuzzy-c-means==1.6.3 \
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panel==0.14.0 \
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hvplot==0.8.1 \
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line-profiler==3.5.1 \
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py-heat==0.0.6 \
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py-heat-magic==0.0.2 \
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bokeh==2.4.3 \
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river==0.13.0 \
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stumpy==1.11.1 \
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pyvinecopulib==0.6.2
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RUN conda install -y -c conda-forge \
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openmpi=4.1.4 && conda clean -y --all
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RUN python -m nltk.downloader -d /usr/share/nltk_data punkt && \
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python -m nltk.downloader -d /usr/share/nltk_data vader_lexicon && \
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python -m nltk.downloader -d /usr/share/nltk_data stopwords
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# Install ppscore
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RUN wget https://cdn.quantconnect.com/ppscore/ppscore-master-ce93fa3.zip && \
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unzip -q ppscore-master-ce93fa3.zip && cd ppscore-master && \
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pip install . && cd .. && rm -rf ppscore-master && rm ppscore-master-ce93fa3.zip
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# Install DX Analytics
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RUN wget https://cdn.quantconnect.com/dx/dx-master-69922c0.zip && \
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unzip -q dx-master-69922c0.zip && cd dx-master && \
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pip install . && cd .. && rm -rf dx-master && rm dx-master-69922c0.zip
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# Due to conflicts install 'pomegranate' virtual environment package
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RUN python -m venv /Foundation-Pomegranate --system-site-packages && . /Foundation-Pomegranate/bin/activate \
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&& pip install --no-cache-dir \
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pomegranate==0.14.8 \
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&& python -m ipykernel install --name=Foundation-Pomegranate \
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&& deactivate
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RUN echo "{\"argv\":[\"python\",\"-m\",\"ipykernel_launcher\",\"-f\",\"{connection_file}\"],\"display_name\":\"Foundation-Py-Default\",\"language\":\"python\",\"metadata\":{\"debugger\":true}}" > /opt/miniforge3/share/jupyter/kernels/python3/kernel.json
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# List all packages
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RUN conda list |