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Michael Raitza 2021-04-16 20:24:56 +02:00
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@ -13,6 +13,6 @@ export AUTHOR="My Name"
``` ```
"aoc2020.dayN" aoc-init "aoc2020.dayN" aoc-init
``` ```
* See `aoc2020.day1` for an example. If a solution is worth an explanation, it should go to the description in the docs in `dayN-docs.factor`.
* See `aoc2020.day1` for an example. If a solution is worth an explanation, it should go to the description in the docs.
* By convention, the `MAIN:` function solves the exact task given, while the core function solves the core problem (no input parsing, no output formatting). Sometimes it solves a more generalized problem; sometimes it solves only a specific subset of the problem (which happens in AoC problems, when an input exploit is needed). * By convention, the `MAIN:` function solves the exact task given, while the core function solves the core problem (no input parsing, no output formatting). Sometimes it solves a more generalized problem; sometimes it solves only a specific subset of the problem (which happens in AoC problems, when an input exploit is needed).
* `dayN-tests.factor` should contain the test cases for the puzzle. It may be a good idea to start with the model problem and solution for that day. Later, you can incorporate your personal dataset, which is kept in `datasets/aoc2020/dayN.txt`.