The Docker image to automatically create a representation for C++ solutions submitted to Exercism.
To create a representation for an arbitrary exercise, do the following:
- Open a terminal in the project's root
- Run
./bin/run.sh <exercise-slug> <solution-dir> <output-dir>
Once the representer has finished, its results will be written to <output-dir>/representation.txt
and <output-dir>/mapping.json
.
This script is provided for testing purposes, as it mimics how representers run in Exercism's production environment.
To create a representation for an using the Docker image, do the following:
- Open a terminal in the project's root
- Run
./bin/run-in-docker.sh <exercise-slug> <solution-dir> <output-dir>
Once the representer has finished, its results will be written to <output-dir>/representation.txt
and <output-dir>/mapping.json
.
To run the tests to verify the behavior of the representer, do the following:
- Open a terminal in the project's root
- Run
./bin/run-tests.sh
These are golden tests that compare the representation.txt
and mapping.json
generated by running the current state of the code against the "known good" tests/<test-name>/representation.txt
and tests/<test-name>/mapping.json
. All files created during the test run itself are discarded.
When you've made modifications to the code that will result in a new "golden" state, you'll need to generate and commit a new tests/<test-name>/representation.txt
and tests/<test-name>/mapping.json
file.
This script is provided for testing purposes, as it mimics how representers run in Exercism's production environment.
To run the tests to verify the behavior of the representer using the Docker image, do the following:
- Open a terminal in the project's root
- Run
./bin/run-tests-in-docker.sh
These are golden tests that compare the representation.txt
and mapping.json
generated by running the current state of the code against the "known good" tests/<test-name>/representation.txt
and tests/<test-name>/mapping.json
. All files created during the test run itself are discarded.
When you've made modifications to the code that will result in a new "golden" state, you'll need to generate and commit a new tests/<test-name>/representation.txt
and tests/<test-name>/mapping.json
file.
The version 1 implementaion is using Python and the pygmentize library. Pygments is mostly used as a highlighter to format code, but works fine for a first pass.
Currently the reprenter will:
- strip preprocessor marcors like
#pragma
or#define
- remove all whitespace outside strings
- remove all comments
- replace all names with placeholders
A future version might be able to sort functions, variables, classes and enums in a standardized way. Tree-sitter might be an option to use an AST to help with the sorting. Clang's AST representation has lost official support and was never functioning.