Scapes are self-contained simulated worlds or virtual environments.

They can be thought of as a way of interfacing with the problem in question. Scapes are composed of two parts: a simulation of an environment or a problem we are applying the neural network to, and a function that can keep track of the neural network's performance.

Scapes run outside the neural network systems, as independent processes with which the neural networks interact using their sensors and actuators. There are two types of scapes:

1. Private scapes are spawned for each neural network during creation, and destroyed when that neural network is taken offline.
2. Public scapes are persistent - they exist regardless of the neural networks, and allow multiple neural networks to interact with them at the same time, enabling those networks to interact with each other.

This module defines the public scape.