19b1b8499a
Signed-off-by: Rémy Coutable <remy@rymai.me>
54 lines
2.2 KiB
YAML
54 lines
2.2 KiB
YAML
# An example .gitlab-ci.yml file to test (and optionally report the coverage
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# results of) your [Julia][1] packages. Please refer to the [documentation][2]
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# for more information about package development in Julia.
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#
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# Here, it is assumed that your Julia package is named `MyPackage`. Change it to
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# whatever name you have given to your package.
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#
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# [1]: http://julialang.org/
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# [2]: http://julia.readthedocs.org/
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# Below is the template to run your tests in Julia
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.test_template: &test_definition
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# Uncomment below if you would like to run the tests on specific references
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# only, such as the branches `master`, `development`, etc.
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# only:
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# - master
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# - development
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script:
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# Let's run the tests. Substitute `coverage = false` below, if you do not
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# want coverage results.
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- /opt/julia/bin/julia -e 'Pkg.clone(pwd()); Pkg.test("MyPackage",
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coverage = true)'
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# Comment out below if you do not want coverage results.
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- /opt/julia/bin/julia -e 'Pkg.add("Coverage"); cd(Pkg.dir("MyPackage"));
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using Coverage; cl, tl = get_summary(process_folder());
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println("(", cl/tl*100, "%) covered")'
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# Name a test and select an appropriate image.
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test:0.4.6:
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image: julialang/julia:v0.4.6
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<<: *test_definition
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# Maybe you would like to test your package against the development branch:
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test:0.5.0-dev:
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image: julialang/julia:v0.5.0-dev
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# ... allowing for failures, since we are testing against the development
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# branch:
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allow_failure: true
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<<: *test_definition
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# REMARK: Do not forget to enable the coverage feature for your project, if you
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# are using code coverage reporting above. This can be done by
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#
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# - Navigating to the `CI/CD Pipelines` settings of your project,
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# - Copying and pasting the default `Simplecov` regex example provided, i.e.,
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# `\(\d+.\d+\%\) covered` in the `test coverage parsing` textfield.
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#
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# WARNING: This template is using the `julialang/julia` images from [Docker
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# Hub][3]. One can use custom Julia images and/or the official ones found
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# in the same place. However, care must be taken to correctly locate the binary
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# file (`/opt/julia/bin/julia` above), which is usually given on the image's
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# description page.
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#
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# [3]: http://hub.docker.com/
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