mckinseysolvegame 0.4.0

Python library for solving the McKinsey Solve Game

McKinsey Solve Game

This Python package helps you to solve the Ecosystem Building game from the McKinsey Solve Game. In this game, you need to find a sustainable chain of 8 species among many species (39 in total).

This package offers to call the find_sustainable_food_chain method that accepts a list of species and returns a solution that maximizes the number of species that can create a sustainable food chain.

Installation

To install mckinseysolvegame, simply use pip:

pip install mckinseysolvegame

Usage

Define the product

from mckinseysolvegame import Species

my_species = [
    Species(name="Producer1", calories_provided=4000, calories_needed=0, food_sources=[]),
    Species(name="Producer2", calories_provided=4050, calories_needed=0, food_sources=[]),
    Species(name="Producer3", calories_provided=5000, calories_needed=0, food_sources=[]),
    Species(name="Animal1", calories_provided=1000, calories_needed=1050, food_sources=["Producer1"]),
    Species(name="Animal2", calories_provided=800, calories_needed=900, food_sources=["Animal1", "Producer3"])
]

Find the species that form a sustainable food chain

from mckinseysolvegame import Solver

result = Solver.find_sustainable_food_chain(my_species)
result.to_json()

The API will return a JSON object with the following format:

{
    "number_of_species": 5,
    "species": ["Producer3", "Producer2", "Producer1", "Animal1", "Animal2"]
}

This object contains the maximum number of species that can sustain, as well as the list of species names.

Contributing

We welcome contributions to mckinseysolvegame! If you find a bug or would like to request a new feature, please open an issue on the Github repository. If you would like to contribute code, please submit a pull request.

License

mckinseysolvegame is released under the MIT License.