Now, I am trying to run lean on windows 8.1 without Visual Studio.

I copied Lean master to dive S:\lean2401 on local hard disk.,

Installed Docker Toolbox, Oracle VirtualBox.

After starting Docker and within docker terminal window I have run following commands:


$ cd /s/Lean2401

$ docker build -t quantconnect/lean:foundation -f DockerfileLeanFoundation .
Sending build context to Docker daemon 1.464GB
Step 1/39 : FROM phusion/baseimage:0.9.22
---> 877509368a8d
Step 2/39 : MAINTAINER QuantConnect <contact@quantconnect.com>
---> Using cache
---> 983d17a41448
Step 3/39 : CMD ["/sbin/my_init"]
---> Using cache
---> f481921e5e9a
Step 4/39 : RUN env TZ=UTC
---> Using cache
---> d47bb3ccf369
Step 5/39 : RUN apt-get update && apt-get install -y git bzip2 unzip wget python
3-pip python-opengl zlib1g-dev && apt-get install -y clang cmake curl xvfb l
ibxrender1 libxtst6 libxi6 libglib2.0-dev libopenmpi-dev libstdc++6 && apt-g
et install -y r-base pandoc libcurl4-openssl-dev
---> Using cache
---> 9b86bfef1068
Step 6/39 : RUN apt-get install -y openjdk-8-jdk openjdk-8-jre
---> Using cache
---> 6a55c93b350b
Step 7/39 : RUN wget http://cdn.quantconnect.com/interactive/ibgateway-latest-st
andalone-linux-x64-v974.4g.sh && chmod 777 ibgateway-latest-standalone-linux
-x64-v974.4g.sh && ./ibgateway-latest-standalone-linux-x64-v974.4g.sh -q &&
wget -O ~/Jts/jts.ini http://cdn.quantconnect.com/interactive/ibgateway-late
st-standalone-linux-x64-v974.4g.jts.ini && rm ibgateway-latest-standalone-li
nux-x64-v974.4g.sh
---> Using cache
---> 735f98b9a45a
Step 8/39 : RUN apt-get update && rm -rf /var/lib/apt/lists/*
---> Using cache
---> 65b917ca95c6
Step 9/39 : RUN apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-key
s 3FA7E0328081BFF6A14DA29AA6A19B38D3D831EF
---> Using cache
---> 67d8f52a4d96
Step 10/39 : RUN echo "deb http://download.mono-project.com/repo/ubuntu stable-x
enial/snapshots/5.12.0.226 main" > /etc/apt/sources.list.d/mono-xamarin.list &&
apt-get update && apt-get install -y binutils mono-complete ca-certificates-
mono mono-vbnc nuget referenceassemblies-pcl && apt-get install -y fsharp &&
rm -rf /var/lib/apt/lists/* /tmp/*
---> Using cache
---> 1bf5eab4c862
Step 11/39 : ENV CONDA="Miniconda3-4.5.12-Linux-x86_64.sh"
---> Using cache
---> df9f1becebcb
Step 12/39 : ENV PATH="/opt/miniconda3/bin:${PATH}"
---> Using cache
---> 49315541e70e
Step 13/39 : RUN wget https://cdn.quantconnect.com/miniconda/${CONDA} && bas
h ${CONDA} -b -p /opt/miniconda3 && rm -rf ${CONDA} && ln -s /opt/miniconda3
/lib/libpython3.6m.so /usr/lib/libpython3.6m.so
---> Using cache
---> 07a4e519f49c
Step 14/39 : RUN conda update -y conda pip
---> Using cache
---> be6d5b160914
Step 15/39 : RUN conda install -y python=3.6.8
---> Using cache
---> c5745f12bffc
Step 16/39 : RUN conda clean -y --all
---> Using cache
---> 71782d578588
Step 17/39 : RUN conda install -y cython=0.29.11
numpy=1.17.3 pandas=0.23.4
wrapt=1.11.2
---> Using cache
---> fe24194f3e93
Step 18/39 : RUN conda install -y beautifulsoup4=4.8.0
dill=0.2.9 jsonschema=3.0.1
lxml=4.3.4 msgpack-python=0.5.6 setupto
ols-git=1.2
---> Using cache
---> bb54923ab211
Step 19/39 : RUN conda install -y blaze=0.11.3
cvxopt=1.2.0 gensim=3.8.0
keras=2.2.4 lightgbm=2.2.3 nltk=3.
4.3 pomegranate=0.10.0 scipy==1.3.1
tensorflow=1.13.1 xarray=0.13.0
---> Using cache
---> b9bad8eb84be
Step 20/39 : RUN conda install -y -c conda-forge fbprophet=0.5
pulp=1.6.8 pymc3=3.7
rauth=0.7.3 scikit-learn==0.21.3 scikit-
multiflow=0.4.1 scikit-optimize=0.5.2 theano=1.0.4
tsfresh=0.12.0
---> Using cache
---> efcc94d83c89
Step 21/39 : RUN conda install -y -c pytorch pytorch=1.1.0
torchvision=0.3.0
---> Using cache
---> 0f10e6bd279c
Step 22/39 : RUN conda install -y -c fastai nvidia-ml-py3=7.352.0
fastai=1.0.54
---> Using cache
---> aa5bce5f1d74
Step 23/39 : RUN conda clean -y --all
---> Using cache
---> 89df32b75154
Step 24/39 : RUN pip install --upgrade pip
---> Using cache
---> e074476f114e
Step 25/39 : RUN pip install gym==0.13.1 arch==4.8.1
copulalib==1.1.0 copulas==0.2.1
creme==0.3.0 cvxpy==1.0.24
---> Using cache
---> 7105c64858f5
Step 26/39 : RUN pip install deap==1.3.0 mlfinlab==0.4.1
pykalman==0.9.5 pyportfolioopt==0.4.3
pyramid-arima==0.9.0 pyro-ppl==0.3.3
---> Using cache
---> 9c35f2585e15
Step 27/39 : RUN pip install sklearn==0.0 stable-baselines==2.6.0
statistics==1.0.3.5 tensorforce==0.4.3
QuantLib-Python==1.15 xgboost==0.90
---> Using cache
---> 36f45382dfd0
Step 28/39 : RUN pip install --upgrade hmmlearn==0.2.2
---> Using cache
---> 74c37375d2d4
Step 29/39 : RUN python -m nltk.downloader -d /usr/share/nltk_data punkt
---> Using cache
---> fcecc99f1048
Step 30/39 : RUN conda clean -y --all
---> Using cache
---> 87eb01f7d839
Step 31/39 : RUN wget http://cdn.quantconnect.com/ta-lib/ta-lib-0.4.0-src.tar.gz
&& tar -zxvf ta-lib-0.4.0-src.tar.gz && cd ta-lib && ./configure --pref
ix=/usr && make && make install && pip install TA-lib && cd .. && rm -irf ta
-lib
---> Using cache
---> 0deace9a2660
Step 32/39 : RUN wget https://cdn.quantconnect.com/dx/dx-master-ffe19a6.zip &&
unzip -q dx-master-ffe19a6.zip && cd dx-master && python setup.py install
&& cd .. && rm -irf dx-master
---> Using cache
---> afba2817265c
Step 33/39 : RUN wget https://cdn.quantconnect.com/py-earth/py-earth-master-b209
d19.zip && unzip -q py-earth-master-b209d19.zip && cd py-earth-master &&
python setup.py install && cd .. && rm -irf py-earth-master
---> Using cache
---> b5ca27423b30
Step 34/39 : RUN wget https://cdn.quantconnect.com/fastText/fastText-master-9479
e4e.zip && unzip -q fastText-master-9479e4e.zip && cd fastText-master &&
python setup.py install && cd .. && rm -irf fastText-master
---> Using cache
---> 615e7899223e
Step 35/39 : RUN wget https://cdn.quantconnect.com/odo/odo-master-9fce669.zip &&
unzip -q odo-master-9fce669.zip && cd odo-master && python setup.py ins
tall && cd .. && rm -irf odo-master
---> Using cache
---> 59152a238f73
Step 36/39 : RUN rm -irf *.zip *.gz
---> Using cache
---> e5da5a5ac62a
Step 37/39 : RUN conda remove --force-remove -y s3transfer # Installed by gens
im
---> Using cache
---> 83e7917fac26
Step 38/39 : RUN conda clean -y --all
---> Using cache
---> 8e7f133935bf
Step 39/39 : RUN conda list
---> Using cache
---> 7263734fb76d
Successfully built 7263734fb76d
Successfully tagged quantconnect/lean:foundation
SECURITY WARNING: You are building a Docker image from Windows against a non-Win
dows Docker host. All files and directories added to build context will have '-r
wxr-xr-x' permissions. It is recommended to double check and reset permissions f
or sensitive files and directories.



$ docker build -t quantconnect/lean:algorithm -f Dockerfile .
Sending build context to Docker daemon 1.464GB
Step 1/5 : FROM quantconnect/lean:foundation
---> 7263734fb76d
Step 2/5 : MAINTAINER QuantConnect <contact@quantconnect.com>
---> Using cache
---> 0028b77ec909
Step 3/5 : COPY ./Launcher/bin/Release /root/Lean/Launcher/bin/Release
COPY failed: stat /mnt/sda1/var/lib/docker/tmp/docker-builder772229067/Launcher/
bin/Release: no such file or directory


What am I missing or doing wrong?

Thanks

Shailesh.