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FROM ubuntu:latest | ||
ENV TZ="America/Toronto" | ||
RUN apt-get update && \ | ||
apt-get -y update && \ | ||
apt-get install -yq tzdata && \ | ||
ln -fs /usr/share/zoneinfo/America/Toronto /etc/localtime && \ | ||
dpkg-reconfigure -f noninteractive tzdata | ||
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RUN apt-get install -y build-essential python3.10 python3-pip python3-dev \ | ||
cmake sudo git vim | ||
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# Install pystaq | ||
RUN pip3 -q install pip --upgrade | ||
RUN pip3 install jupyter matplotlib numpy | ||
RUN pip3 install git+https://github.com/softwareqinc/staq | ||
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# Enable a normal user with sudo access | ||
RUN useradd -m -c "softwareQ" sq | ||
RUN echo '%sq ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers | ||
USER sq | ||
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# Clone and install staq | ||
WORKDIR /home/sq | ||
RUN git clone --depth 1 --branch main https://github.com/softwareqinc/staq | ||
WORKDIR /home/sq/staq | ||
RUN cmake -B build && cmake --build build --target all --parallel 4 && \ | ||
sudo cmake --build build --target install | ||
USER sq | ||
WORKDIR /home/sq | ||
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# Create a notebook directory for Jupyter | ||
RUN mkdir notebooks |
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## Docker | ||
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A self-explanatory minimalistic Docker file is provided | ||
in [`Dockerfile`](https://github.com/softwareQinc/staq/tree/main/docker/Dockerfile). | ||
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Build the image by executing | ||
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```shell | ||
docker build -t softwareq-staq . | ||
``` | ||
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--- | ||
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Run the Jupyter server in a container by executing | ||
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```shell | ||
docker run -p8889:8889 -it --workdir=/home/sq/notebooks softwareq-staq sh -c "jupyter notebook --port=8889 --no-browser --ip=0.0.0.0" | ||
``` | ||
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--- | ||
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In case you want to use the Docker container as a development environment, mount | ||
your directory (in this case the current directory) in a Docker container with | ||
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```shell | ||
docker run --rm -it --workdir=/home/sq/hostdir -v ${PWD}:/home/sq/hostdir softwareq-staq /bin/bash | ||
``` |