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Build from public docker image

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  1. Dockerfile +1 -37
Dockerfile CHANGED
@@ -1,50 +1,14 @@
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- FROM anibali/pytorch:2.0.0-cuda11.8-ubuntu22.04
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  USER root
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  # Set up time zone.
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  ENV TZ=UTC
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  RUN sudo ln -snf /usr/share/zoneinfo/$TZ /etc/localtime
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-
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-
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- # Install torch geometric
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- RUN pip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-2.0.0+cu118.html
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- RUN pip install torch_geometric
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- RUN pip install h5py ipykernel==5.5.5 ipywidgets==7.6.3 jupyter nglview==2.7.7 pandas
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- RUN pip install pytorch-lightning==1.8.3
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  RUN pip install gradio
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  RUN pip install requests
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  RUN pip install py3Dmol
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  RUN pip install biopython
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  RUN pip install pandas
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- #RUN pip install --no-cache-dir --upgrade -r requirements.txt
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-
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- RUN apt-get update; \
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- DEBIAN_FRONTEND=noninteractive; \
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- apt-get install -y --no-install-recommends --allow-downgrades\
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- bzip2=1.0.8-5build1 cmake=3.22.1-1ubuntu1.22.04.1 csh=20110502-7 \
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- make=4.3-4.1build1 gcc=4:11.2.0-1ubuntu1 gfortran=4:11.2.0-1ubuntu1 \
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- g++=4:11.2.0-1ubuntu1 flex=2.6.4-8build2 bison=2:3.8.2+dfsg-1build1 \
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- patch=2.7.6-7build2 bc=1.07.1-3build1 libbz2-dev=1.0.8-5build1 \
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- wget=1.21.2-2ubuntu1 openmpi-bin=4.1.2-2ubuntu1 \
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- libopenmpi-dev=4.1.2-2ubuntu1 openssh-client=1:8.9p1-3 \
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- ca-certificates=20211016ubuntu0.22.04.1
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-
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- WORKDIR /usr/bin
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- COPY AmberTools22.tar.bz2 .
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- RUN tar xjvf AmberTools22.tar.bz2 && rm AmberTools22.tar.bz2
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-
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- WORKDIR amber22_src
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- WORKDIR build
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- RUN chmod +x run_cmake
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- RUN ./run_cmake
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- RUN make -j 4 install
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- RUN echo "source /usr/bin/amber22/amber.sh" >> /etc/bash.bashrc
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- SHELL ["/bin/bash", "-c"]
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-
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- ENV AMBERHOME="/usr/bin/amber22/"
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- ENV PATH="$AMBERHOME/bin:$PATH"
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- ENV PYTHONPATH="$AMBERHOME/lib/python3.10/site-packages"
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-
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  #RUN useradd -m -u 1000 user
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  #USER user
 
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+ FROM sab148/misato-dataset:latest
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  USER root
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  # Set up time zone.
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  ENV TZ=UTC
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  RUN sudo ln -snf /usr/share/zoneinfo/$TZ /etc/localtime
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  RUN pip install gradio
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  RUN pip install requests
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  RUN pip install py3Dmol
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  RUN pip install biopython
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  RUN pip install pandas
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  #RUN useradd -m -u 1000 user
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  #USER user