kopia lustrzana https://github.com/jupyterhub/repo2docker
edits to links
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@ -40,15 +40,17 @@ Locating and composing configuration files
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creating new custom configuration files.
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``repodocker`` configuration files are all **composable** - you can use any number
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of them in the same repository. There are a few notable rules for precedence:
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of them in the same repository.
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There are a few notable rules for composition precedence and build priority:
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* ``Dockerfile``: If a Dockerfile is present in a repository, it will take precedence
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over all other configuration files (which will be ignored).
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* ``environment.yml`` with ``requirements.txt``: If both of these files are
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present, then ``environment.yml`` will be used to build the image, **not**
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``requirements.txt``. If you wish to ``pip install`` packages using an
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``environment.yml`` file, `you should do so with the
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*pip:* key <https://conda.io/docs/user-guide/tasks/manage-environments.html#creating-an-environment-file-manually>`_.
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``environment.yml`` file, you should do so with the
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``pip:`` key as described in the `conda documentation`_.
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.. note::
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@ -116,7 +118,7 @@ you can pass the ``debug`` parameter to the commandline:
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.. code-block:: bash
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jupyter-repo2docker --debug https://github.com/jakevdp/PythonDataScienceHandbook
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jupyter-repo2docker --debug https://github.com/jakevdp/PythonDataScienceHandbook
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This will print the generated ``Dockerfile``, build it, and run it.
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@ -127,7 +129,7 @@ be used by docker directly.
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.. code-block:: bash
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jupyter-repo2docker --no-build --debug https://github.com/jakevdp/PythonDataScienceHandbook
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jupyter-repo2docker --no-build --debug https://github.com/jakevdp/PythonDataScienceHandbook
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Accessing help from the command line
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@ -137,3 +139,5 @@ For a list of all the build configurations at your disposal, see the
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CLI help::
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jupyter-repo2docker -h
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.. _conda documentation: https://conda.io/docs/user-guide/tasks/manage-environments.html#creating-an-environment-file-manually
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