karltayeb/gp_fine_mapping:cpu

$ singularity pull shub://karltayeb/gp_fine_mapping:cpu

Singularity Recipe

Bootstrap: docker
From: tensorflow/tensorflow:1.13.1-py3-jupyter

%environment
  # use bash as default shell
  SHELL=/bin/bash
  export SHELL

%setup
  # runs on host - the path to the image is $SINGULARITY_ROOTFS

%post  
  # post-setup script

  # load environment variables
  . /environment

  # use bash as default shell
  echo 'SHELL=/bin/bash' >> /environment

  # make environment file executable
  chmod +x /environment

  # default mount paths
  mkdir /scratch /data 

  # additional packages
  apt-get update
  apt-get install -y python-tk
  apt-get install -y libsm6 libxext6
  apt-get -y install python3-tk

  pip install selenium
  pip install moviepy
  pip install lmdb
  pip install opencv-contrib-python
  pip install cryptography
  
  pip install gpflow
  pip install tensorflow-probability
  pip install matplotlib
  pip install sklearn
  pip install seaborn

%runscript
  # executes with the singularity run command
  # delete this section to use existing docker ENTRYPOINT command

%test
  # test that script is a success

Collection


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Metrics

key value
id /containers/karltayeb-gp_fine_mapping-cpu
collection name karltayeb/gp_fine_mapping
branch master
tag cpu
commit 8a9fd4143986f20ee3e2a60146b253d51eb2a8e5
version (container hash) 09e6f600ddf1bf54749db87cbdb360ac
build date 2019-06-23T23:32:49.177Z
size (MB) 1722
size (bytes) 733978655
SIF Download URL (please use pull with shub://)
Datalad URL View on Datalad
Singularity Recipe Singularity Recipe on Datalad
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