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78 lines
2.6 KiB
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78 lines
2.6 KiB
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Docker
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======
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The community maintains a docker image, which can be found
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`on DockerHub <https://hub.docker.com/r/manimcommunity/manim>`__.
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For our image ``manimcommunity/manim``, there are the following tags:
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- ``latest``: the most recent version corresponding
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to `the main branch <https://github.com/ManimCommunity/manim>`__,
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- ``stable``: the latest released version (according to
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`the releases page <https://github.com/ManimCommunity/manim/releases>`__),
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- ``vX.Y.Z``: any particular released version (according to
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`the releases page <https://github.com/ManimCommunity/manim/releases>`__).
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.. note::
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When using Manim's CLI within a Docker container, some flags like
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``-p`` (preview file) and ``-f`` (show output file in the file browser)
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are not supported.
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Basic usage of the Docker container
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-----------------------------------
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Assuming that you can access the docker installation on your system
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from a terminal (bash / PowerShell) via ``docker``, you can
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render a scene ``CircleToSquare`` in a file `test_scenes.py`
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with the following command.
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.. code-block:: bash
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docker run --rm -it -v "/full/path/to/your/directory:/manim" manimcommunity/manim manim -qm test_scenes.py CircleToSquare
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.. tip::
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For Linux users there might be permission problems when letting the
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user in the container write to the mounted volume.
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Add ``--user="$(id -u):$(id -g)"`` to the ``docker`` CLI arguments
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to prevent the creation of output files not belonging to your user.
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Instead of using the "throwaway container" approach outlined
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above, you can also create a named container that you can
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modify to your liking. First, run
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.. code-block:: sh
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docker run -it --name my-manim-container -v "/full/path/to/your/directory:/manim" manimcommunity/manim /bin/bash
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to obtain an interactive shell inside your container allowing you
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to, e.g., install further dependencies (like texlive packages using
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``tlmgr``). Exit the container as soon as you are satisfied. Then,
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before using it, start the container by running
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.. code-block:: sh
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docker start my-manim-container
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which starts the container in the background. Then, to render
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a scene ``CircleToSquare`` in a file ``test_scenes.py``, run
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.. code-block:: sh
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docker exec -it my-manim-container manim -qm test_scenes.py CircleToSquare
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Running JupyterLab via Docker
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-----------------------------
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Another alternative to using the Docker image is to spin up a
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local JupyterLab instance. To do that, simply run
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.. code-block:: sh
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docker run -it -p 8888:8888 manimcommunity/manim jupyter lab --ip=0.0.0.0
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and then follow the instructions in the terminal.
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