generate_distributed_sample()

double MayaFlux::Nodes::Generator::Stochastics::Random::generate_distributed_sample ( )

private

Generates a raw value according to the current distribution.

Returns

Raw stochastic value before range transformation

This internal method applies the selected probability algorithm to generate a value with the appropriate statistical properties.

Definition at line 63 of file Stochastic.cpp.

{
    switch (m_type) {
    [[likely]] case Utils::distribution::UNIFORM:
        return m_current_start + fast_uniform() * (m_current_end - m_current_start);
 
    case Utils::distribution::NORMAL:
        rebuild_distributions_if_needed();
        return m_normal_dist(m_random_engine);
 
    case Utils::distribution::EXPONENTIAL:
        rebuild_distributions_if_needed();
        return m_exponential_dist(m_random_engine);
 
    case Utils::distribution::POISSON: {
        std::poisson_distribution<int> dist(
            static_cast<int>(m_current_end - m_current_start));
        return static_cast<double>(dist(m_random_engine));
    }
    default:
        return m_current_start + fast_uniform() * (m_current_end - m_current_start);
    }
}

References MayaFlux::Utils::EXPONENTIAL, fast_uniform(), m_current_end, m_current_start, m_exponential_dist, m_normal_dist, m_random_engine, m_type, MayaFlux::Utils::NORMAL, MayaFlux::Utils::POISSON, rebuild_distributions_if_needed(), and MayaFlux::Utils::UNIFORM.

Referenced by random_array(), and random_sample().

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