FROM ubuntu

ARG VENV_PATH=/opt/dev-venv
ENV VENV_ACTIVATE=${VENV_PATH}/bin/activate

RUN apt update
RUN apt install -y python3.10-venv nvidia-cuda-toolkit gcc vim git

# the mkdir command bypasses a profiler error, which allows us to run it with
# host code only to at least check that the profiler parameters are correctly
# provided; without this line, some tests will fail
RUN mkdir -p /usr/lib/x86_64-linux-gnu/nsight-compute/sections

# we create the virtualenv here so that the devcontainer.json setting
# python.defaultInterpreterPath can be used to find it; if we do it in the
# post_create.sh script, the virtualenv will not be loaded and features like
# pylance, black, isort, etc. will not work
RUN python3.10 -m venv ${VENV_PATH}
RUN echo "source ${VENV_ACTIVATE}" >> ~/.bashrc