It seems like I'll be using NAME_1 compose for my project since it appears to be the 'right' thing to do for now. I want to combine rllib, NautilusTrader, and this private repo called vectorbtpro altogether via NAME_1 compose. How would I do such a task? Below is the private repo, vectorbtpro, dockerfile that I found:

FROM jupyter/scipy-notebook:python-3.9.12

USER root
WORKDIR /tmp

RUN apt-get update && \
 apt-get install -yq --no-install-recommends cmake && \
 apt-get clean && \
 rm -rf /var/lib/apt/lists/*

RUN wget https://netcologne.dl.sourceforge.net/project/ta-lib/ta-lib/0.4.0/ta-lib-0.4.0-src.tar.gz && \
  tar -xvzf ta-lib-0.4.0-src.tar.gz && \
  cd ta-lib/ && \
  ./configure --prefix=/usr --build=unknown-unknown-linux && \
  make && \
  make install

RUN rm -R ta-lib ta-lib-0.4.0-src.tar.gz

USER ${NB_UID}

RUN pip install --quiet --no-cache-dir \
    'jupyter-dash' \
    'plotly>=5.0.0' \
    'kaleido' && \
    jupyter lab build --minimize=False

RUN pip install --quiet --no-cache-dir 'pybind11'
RUN pip install --quiet --no-cache-dir --ignore-installed 'llvmlite'

RUN pip install --quiet --no-cache-dir \
    'numpy==1.23.3' \
    'numba==0.56.4' \
    'pandas>=1.5.0' \
    'schedule' \
    'requests' \
    'tqdm' \
    'python-dateutil' \
    'dateparser' \
    'imageio' \
    'mypy_extensions' \
    'humanize' \
    'attrs>=19.2.0' \
    'websocket-client' \
    'hyperopt' \
    'optuna' \
    'yfinance>=0.2.20' \
    'python-binance>=1.0.16' \
    'alpaca-py' \
    'ccxt>=1.89.14' \
    'tables' \
    'polygon-api-client>=1.0.0' \
    'nasdaq-data-link' \
    'ta' \
    'pandas_ta' \
    'TA-Lib==0.4.21' \
    'technical' \
    'plotly-resampler' \
    'quantstats>=0.0.37' \
    'PyPortfolioOpt>=1.5.1' \
    'Riskfolio-Lib>=3.3.0' \
    'python-telegram-bot>=13.4' \
    'dill' \
    'lz4' \
    'blosc'

RUN pip install --quiet --no-cache-dir --no-deps 'universal-portfolios'
RUN pip install --quiet --no-cache-dir 'pandas_datareader'
RUN conda install --quiet --yes -c conda-forge cvxopt

ADD ./vectorbtpro ./vectorbtpro
ADD setup.py ./
ADD extra-requirements.txt ./
ADD LICENSE.md ./
ADD README.md ./
RUN pip install --quiet --no-cache-dir --no-deps .

WORKDIR "$HOME/work"

===

And also this is the instructions for NAME_1 with this repo, vectorbtpro:

With NAME_1¶
Using NAME_1 is a great way to get up and running in a few minutes, as it comes with all dependencies pre-installed.

NAME_1 image of vectorbtpro is based on Jupyter NAME_1 Stacks - a set of ready-to-run NAME_1 images containing Jupyter applicat