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Exercism Prolog Track\n\n[![Configlet](https://github.com/exercism/prolog/actions/workflows/configlet.yml/badge.svg)](https://github.com/exercism/prolog/actions/workflows/configlet.yml) [![Test](https://github.com/exercism/prolog/actions/workflows/test.yml/badge.svg)](https://github.com/exercism/prolog/actions/workflows/test.yml)\n\nExercism exercises in Prolog.\n\n## Testing\n\nTo test all exercises, run `./bin/verify-exercises`.\nThis command will iterate over all exercises and check to see if their exemplar/example implementation passes all the tests.\n\nTo test a single exercise, run `./bin/verify-exercises \u003cexercise-slug\u003e`.\n\n### Using Docker\n\nIf your track has a working [test runner](https://exercism.org/docs/building/tooling/test-runners), the `./bin/verify-exercises-in-docker` script can also be used to test all exercises.\nThis script pulls (_downloads_) the test runner's [Docker image](https://exercism.org/docs/building/tooling/test-runners/docker) and then uses Docker to run that image to test an exercise.\n\n```exercism/note\nThe main benefit of this approach is that it best mimics how exercises are tested in production (on the website).\nAnother benefit is that you don't have to install track-specific dependencies (e.g. an SDK) locally, you just need Docker installed.\n```\n\nTo test a single exercise, run `./bin/verify-exercises-in-docker \u003cexercise-slug\u003e`.\n\n### Linting\n\n[`configlet`](https://exercism.org/docs/building/configlet) is an Exercism-wide tool for working with tracks. You can download it by running:\n\n```shell\n$ ./bin/fetch-configlet\n```\n\nRun its [`lint` command](https://exercism.org/docs/building/configlet/lint) to verify if exercises have the required files and if config files are correct:\n\n```shell\n$ ./bin/configlet lint\n\nThe lint command is under development.\nPlease re-run this command regularly to see if your track passes the latest linting rules.\n\nBasic linting finished successfully:\n- config.json exists and is valid JSON\n- config.json has these valid fields:\n    language, slug, active, blurb, version, status, online_editor, key_features, tags\n- Every concept has the required .md files\n- Every concept has a valid links.json file\n- Every concept has a valid .meta/config.json file\n- Every concept exercise has the required .md files\n- Every concept exercise has a valid .meta/config.json file\n- Every practice exercise has the required .md files\n- Every practice exercise has a valid .meta/config.json file\n- Required track docs are present\n- Required shared exercise docs are present\n```\n\n## Adding exercises\n\nNew (practice) exercises can be added via:\n\n```shell\nbin/add-practice-exercise \u003cexercise-slug\u003e\n```\n\nOptionally, you can also specify the exercise's difficulty (via `-d`) and/or author's GitHub username (via `-a`):\n\n```shell\nbin/add-practice-exercise -a foobar -d 3 \u003cexercise-slug\u003e\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexercism%2Fprolog","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fexercism%2Fprolog","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexercism%2Fprolog/lists"}