CLI tool for building practice programming problems
Project description
CLI tool for building practice programming problems
What Is This?
This is a simple CLI tool that can be used to build and manage a repository of programming problems and solutions.
The proposed feature set should be able to do the following:
- Creates a skeleton for a new programming problem, for any number of programming languages you like. This should include linking any shared data structures, algorithms, argument parsing, Makefile, performance profiling, and setting up a test harness
- Shared data structures can also be packaged (using Cargo, for Rust, or as a pip module in Python). There should be an easy way to edit these data structures from within the repo and then package and send them to PyPI or crates.io with a single command)
- There should be a way to search for these problems within your repository by keyword using the CLI.
- Programming problems can exist in any directory, or in multiple directories, but the directory for a single problem should look like:
- problem_name
- config.yaml
- README.md (generated)
- golang
- rust
- python
- Makefile
- main.py
- tests
- shared
- 1_naive
- src
- shared
- 1_naive
- 2_optimized
Programming problems should be configured with either YAML or TOML that can be used to configure the programming solution, including generating documentation around the solution:
- Title
- Description (links to markdown READMEs can be optionally included)
- Difficulty (1-10)
- Tags
- Additional Resources
To start, Python, Rust and Go are supported languages.
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