Metadata-Version: 1.1
Name: luda
Version: 0.3.1
Summary: ludicrously awesome [w]rapper for nvidia-docker
Home-page: https://github.com/ryanolson/luda
Author: Ryan Olson
Author-email: rmolson@gmail.com
License: MIT license
Description: # luda
        
        ludicrously awesome [w]rapper for nvidia-docker
        
        
        * Free software: MIT license
        * Documentation: [coming shortly]
        
        ```
        pip install luda
        ```
        
        Note: On a Mac, you will need to install this somewhere else besides
        `/usr/local/` because of Docker's restrictions on touching the host OS.
        
        ```
        cd Projects
        git clone https://github.com/ryanolson/luda.git
        cd luda
        pip install -e .
        ```
        
        
        ## Features
        
        * Opinionated wrapper for `docker`/`nvidia-docker` designed to provide
          Singularity-like functionality to Docker images.
        
        * Best used for container images that run DL/HPC-like jobs, not suited
          for long-running daemons or services that require root.
        
        * Volume mounts a /bootstrap volume and overrides the container image
          `ENTRYPOINT` to map the host USER, UID and GID [future work] into the
          container.  Current the docker commandline is echo'ed to the terminal on
          container startup.
        
        * Automounts the current working directory on the host to `/work` inside
          the container.  `/work` becomes the current working directory inside the
          running container. `--work` can be used to specify an alternative default
          working directory for use inside the container; it will be mounted to `/work`.
        
        * Automounts `$HOME` on the host to `/home/$USER` inside the container.
          `--home` option.k
        
        
        ## Acknowledgements
        
        Thanks to [Deni Bertovic's
        blog](https://denibertovic.com/posts/handling-permissions-with-docker-volumes/).
        `luda` provides very similar functionality but does not require specially
        crafted base images and wraps the details of the docker command-line.
        
        The project contains a copy of [`su-exec`](https://github.com/ncopa/su-exec).
        Copyright reproduced below.
        
        ```
        The MIT License (MIT)
        
        Copyright (c) 2015 ncopa
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        ```
        
        
        
        =======
        History
        =======
        
        0.1.0 (2017-03-07)
        ------------------
        
        * First release on PyPI.
        
Keywords: luda
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
