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use rand::{seq::SliceRandom, Rng};
use std::collections::HashMap;

mod neuron;
pub use neuron::*;

mod network;
pub use network::*;


mod population;
pub use population::*;

#[cfg(test)]
mod tests {
    use std::vec;

    use super::*;

    #[test]
    fn test_network() {
        let mut network = Network::new(2, 1);
        network.add_connection((NeuronSet::Input, 0), (NeuronSet::Output, 0), 1.0);
        network.add_connection((NeuronSet::Input, 1), (NeuronSet::Output, 0), 1.0);
        let output = network.activate(vec![1.0, 1.0]);
        assert_eq!(output, vec![2.0]);
    }

    #[test]
    fn test_network_with_extra() {
        let mut network = Network::new(2, 1);
        network.create_extra_neuron();
        network.add_connection((NeuronSet::Input, 0), (NeuronSet::Extra, 0), 1.0);
        network.add_connection((NeuronSet::Extra, 0), (NeuronSet::Output, 0), 1.0);
        let output = network.activate(vec![1.0, 1.0]);
        assert_eq!(output, vec![1.0]);
    }

    #[test]
    fn test_network_with_hidden() {
        let mut network = Network::new(2, 1);
        network.create_extra_neuron();
        network.add_connection((NeuronSet::Input, 0), (NeuronSet::Extra, 0), 1.0);
        network.add_connection((NeuronSet::Input, 1), (NeuronSet::Extra, 0), 1.0);
        network.add_connection((NeuronSet::Extra, 0), (NeuronSet::Output, 0), 1.0);
        let output = network.activate(vec![1.0, 1.0]);
        assert_eq!(output, vec![2.0]);
    }

    #[test]
    fn test_network_with_hidden_and_disabled() {
        let mut network = Network::new(2, 1);
        network.create_extra_neuron();
        network.add_connection((NeuronSet::Input, 0), (NeuronSet::Extra, 0), 1.0);
        network.add_connection((NeuronSet::Input, 1), (NeuronSet::Extra, 0), 1.0);
        network.add_connection((NeuronSet::Extra, 0), (NeuronSet::Output, 0), 1.0);
        network.connections[1].enabled = false;
        let output = network.activate(vec![1.0, 1.0]);
        assert_eq!(output, vec![1.0]);
    }

    #[test]
    fn test_network_with_hidden_and_disabled_and_negative() {
        let mut network = Network::new(2, 1);
        network.create_extra_neuron();
        network.add_connection((NeuronSet::Input, 0), (NeuronSet::Extra, 0), 1.0);
        network.add_connection((NeuronSet::Input, 1), (NeuronSet::Extra, 0), 1.0);
        network.add_connection((NeuronSet::Extra, 0), (NeuronSet::Output, 0), -1.0);
        network.connections[1].enabled = false;
        let output = network.activate(vec![1.0, 1.0]);
        assert_eq!(output, vec![-1.0]);
    }

    #[test]
    fn perfect_xor_network() {
        let mut network = Network::new(2, 1);

        network.create_extra_neuron();
        
        network.add_connection((NeuronSet::Input, 0), (NeuronSet::Extra, 0), 1.0);
        network.add_connection((NeuronSet::Input, 1), (NeuronSet::Extra, 0), 1.0);
        network.add_connection((NeuronSet::Extra, 0), (NeuronSet::Output, 0), -2.0);

        assert_eq!(network.activate(vec![0.0, 0.0]), vec![0.0]);
        assert_eq!(network.activate(vec![0.0, 1.0]), vec![1.0]);
        assert_eq!(network.activate(vec![1.0, 0.0]), vec![1.0]);
        assert_eq!(network.activate(vec![1.0, 1.0]), vec![0.0]);

    }
}