neuron_parameters_generators.h

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#pragma once
 
#include <knp/core/population.h>
 
#include <cinttypes>
#include <optional>
#include <random>
 
 
namespace knp::framework::population
{
 
namespace neurons_generators
{
 
template <typename NeuronType, template <typename...> class Container>
[[nodiscard]] typename core::Population<NeuronType>::NeuronGenerator from_container(
    const Container<typename core::Population<NeuronType>::NeuronParameters>& container)
{
    return [&container](size_t index) -> std::optional<typename core::Population<NeuronType>::NeuronParameters>
    { return container[index]; };
}
 
 
template <typename NeuronType>
class MakeRandom
{
public:
    MakeRandom() : mt_(std::random_device()()), dist_(0, 255) {}
 
    [[nodiscard]] typename core::Population<NeuronType>::NeuronParameters operator()(size_t index)
    {
        typename core::Population<NeuronType>::NeuronParameters params;
        for (size_t i = 0; i < sizeof(params); ++i) reinterpret_cast<uint8_t*>(&params)[i] = dist_(mt_);
        return params;
    }
 
private:
    std::mt19937 mt_;
    std::uniform_int_distribution<int> dist_;
};
 
 
template <typename NeuronType>
[[nodiscard]] typename core::Population<NeuronType>::NeuronGenerator make_default()
{
    return [](size_t index) -> std::optional<typename core::Population<NeuronType>::NeuronParameters>
    { return typename core::Population<NeuronType>::NeuronParameters(); };
}
 
 
template <typename NeuronType>
[[nodiscard]] typename core::Population<NeuronType>::NeuronGenerator make_clone(
    const typename core::Population<NeuronType>::NeuronParameters source_neuron)
{
    return [source_neuron](size_t index) -> std::optional<typename core::Population<NeuronType>::NeuronParameters>
    { return source_neuron; };
}
 
}  // namespace neurons_generators
}  // namespace knp::framework::population