Metadata-Version: 2.1
Name: stanfordkarel
Version: 0.2.3
Summary: Official Stanford Karel library used in CS 106A
Home-page: https://github.com/tyleryep/stanford-karel
Author: Tyler Yep
Author-email: tyep10@gmail.com
License: MIT
Description: # stanford-karel
        
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        This is a Python implementation of Karel for Stanford's CS 106A. This package is available on PyPI and allows you to run Karel programs without any additional setup!
        
        Huge props to @nick-bowman for rewriting this project from scratch!
        
        **StanfordKarel now supports:**
        
        - Pip-installable package means you can run Karel programs from anywhere!
        - Solution code no longer needed to grade assignments - instead, the output worlds are compared.
        - Karel in ASCII! Plus autograder support.
        - Improved autograding, testing, linting, and auto-formatting.
        - Errors automatically suggest `turn_left()`if you misspell the command (e.g. turnLeft).
        
        # Usage
        
        `pip install stanfordkarel`
        
        # Documentation
        
        ## Running Karel
        
        First, ensure that StanfordKarel is correctly installed using pip.
        Any `.py` file can become a Karel program!
        
        **collect_newspaper_karel.py**
        
        ```python
        from stanfordkarel import *
        
        
        def main():
            """ Karel code goes here! """
            turn_left()
            move()
            turn_left()
        
        
        if __name__ == "__main__":
            run_karel_program()
        ```
        
        Save the file and run:
        
        ```
        python collect_newspaper_karel.py
        ```
        
        ![Karel Program](images/karel_program.png)
        
        Follow the Karel tutorial on the
        [Karel Reader!](https://compedu.stanford.edu/karel-reader/docs/python/en/intro.html)
        
        ## Available Commands
        
        | Karel Commands       |                        |                          |
        | -------------------- | ---------------------- | ------------------------ |
        | `move()`             | `right_is_clear()`     | `facing_east()`          |
        | `turn_left()`        | `right_is_blocked()`   | `not_facing_east()`      |
        | `put_beeper()`       | `beepers_present()`    | `facing_west()`          |
        | `pick_beeper()`      | `no_beepers_present()` | `not_facing_west()`      |
        | `front_is_clear()`   | `beepers_in_bag()`     | `facing_south()`         |
        | `front_is_blocked()` | `no_beepers_in_bag()`  | `not_facing_south()`     |
        | `left_is_clear()`    | `facing_north()`       | `paint_corner(color)`    |
        | `left_is_blocked()`  | `not_facing_north()`   | `corner_color_is(color)` |
        
        ### Folder structure
        
        You can set a default world by passing a world name to run_karel_program,
        e.g. `run_karel_program("collect_newspaper_karel")`
        
        Worlds should be saved/loaded in a `worlds/` folder in the same folder as the file being run.
        
        - `assignment1/`
          - `worlds/` (additional worlds go here)
            - `collect_newspaper_karel.w`
            - `collect_newspaper_karel_end.w`
          - `collect_newspaper_karel.py`
        
        ## Creating Worlds
        
        If using the pip-installed version, create a Python file containing:
        
        ```python
        from stanfordkarel.world_editor import run_world_editor
        
        if __name__ == "__main__":
            run_world_editor()
        ```
        
        Then run `python world_editor.py`.
        
        ![World Editor](images/world_editor.png)
        
        ## Grading
        
        `./autograde` runs the available tests using pytest in the `tests/` folder and prints out any output differences in the world.
        
        ### Functionality
        
        The tests use the student's code and the expected world output to determine correctness. If the output is not the same, the test driver will print out an ASCII representation of the differences.
        
        ![Autograder](images/autograder.png)
        
        ### Style
        
        The autograde command also runs the builtin Karel Style Checker that performs linting automatically.
        
        ## Development
        
        Everything important is located in `stanfordkarel/`.
        
        - Python 3.5+ is required because of `importlib.util.module_from_spec`
        - `stanfordkarel/` is the exported package, which contains all of the available functions and commands for students to use.
        - `karel_application.py` is responsible for loading student code and displaying it to the screen.
        
        # Contributing
        
        All issues and pull requests are much appreciated!
        
        - First, run `pre-commit install`.
        - To see test coverage scripts and other auto-formatting tools, use `pre-commit run`.
        - To run all tests, run `pytest`.
        
        ## Future Milestones
        
        In the future, I hope to add:
        
        - Automatic student style checking
        - Ways of determining the student's strategy or approach from observing Karel movements
        - Autograde more worlds, broken down by assignment
        - Allow students to autograde their own work
        - Accessibility for visually-impaired students (using ascii karel)
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6
Description-Content-Type: text/markdown
