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Change to using libcellml as a namespace for images. Set version to 1.0.0.
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README.rst

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@@ -16,29 +16,29 @@ With Docker installed there are two Docker images that you can use:
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To fetch the developer image use the following command::
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docker pull hsorby/libcellml-dev:0.1.5
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docker pull libcellml/build:1.0.0
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To fetch the documentation image use the following command::
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docker pull hsorby/libcellml-docs:0.1.1
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docker pull libcellml/docs:1.0.0
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You may also pull the `latest` version of the images with the following commands::
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docker pull hsorby/libcellml-dev
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docker pull hsorby/libcellml-docs
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docker pull libcellml/build
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docker pull libcellml/docs
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Running developer image
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=======================
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::
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docker run hsorby/libcellml-dev https://github.com/cellml/libcellml develop
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docker run libcellml/build https://github.com/cellml/libcellml develop
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This will clone, build, and run the unit tests, code coverage, clang-format, and memory checking targets.
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You can also build and run the tests from a local directory on the Docker daemon host computer. This can be achieved with the following command::
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docker run --mount type=bind,src=<your-local-directory>,dst=/external/drive,readonly hsorby/libcellml-dev /external/drive
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docker run --mount type=bind,src=<your-local-directory>,dst=/external/drive,readonly libcellml/build /external/drive
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Hopefully it goes without saying that you need to replace `<your-local-directory>` with the actual directory where the libCellML code you wish to build and test exists.
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Some examples of using the command line options::
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# Build serially
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docker run hsorby/libcellml-dev https://github.com/cellml/libcellml develop -s
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docker run libcellml/build https://github.com/cellml/libcellml develop -s
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# Just build libraries and tests
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docker run hsorby/libcellml-dev https://github.com/cellml/libcellml develop -b
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docker run libcellml/build https://github.com/cellml/libcellml develop -b
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# Enter a bash shell at the end of the build
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docker run -it hsorby/libcellml-dev https://github.com/cellml/libcellml develop -d
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docker run -it libcellml/build https://github.com/cellml/libcellml develop -d
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From the command at the top of this section you should get output similar to what is shown in `Appendix A`_
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::
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docker run -p 8118:8000 hsorby/libcellml-docs https://github.com/cellml/libcellml develop
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docker run -p 8118:8000 libcellml/docs https://github.com/cellml/libcellml develop
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This will clone, and build the documentation for libCellML and make the documentation available at `localhost:8118 <http://localhost:8118/>`_.
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You can also build and serve documentation from a local directory. The documentation will be automatically built and reflected in a webbrowser when any documentation related changes are saved. This gives you a live rendering of the current state of the libCellML documentation. This can be achieved with the following command::
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docker run --mount type=bind,src=<your-local-directory>,dst=/external/drive,readonly -p 8118:8000 hsorby/libcellml-docs /external/drive
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docker run --mount type=bind,src=<your-local-directory>,dst=/external/drive,readonly -p 8118:8000 libcellml/docs /external/drive
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Hopefully it goes without saying that you need to replace `<your-local-directory>` with the actual directory where the libCellML code you wish to render the documentation for exists.
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changelog.rst

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This file documents notable changes to this project. This project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0.html>`_.
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[1.0.0] - 2019-06-13
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====================
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Changed
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-------
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- name of the images to use libcellml as a prefix.
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[0.1.5] - 2019-06-10
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====================
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libcellml-base/VERSION

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0.1.4
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1.0.0

libcellml-build/Dockerfile

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FROM hsorby/libcellml-base:0.1.4
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FROM libcellml/base:1.0.0
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ADD VERSION .
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libcellml-build/VERSION

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0.1.5
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1.0.0

libcellml-docs/Dockerfile

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FROM hsorby/libcellml-base:0.1.4
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FROM libcellml/base:1.0.0
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ADD VERSION .
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libcellml-docs/VERSION

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0.1.1
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1.0.0

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