configure()

void MayaFlux::Kinesis::Stochastic::Stochastic::configure	(	const std::string &	key,
		std::any	value
	)

Configures algorithm-specific parameters.

Parameters

key	Parameter name
value	Parameter value

Standard parameters (algorithm-dependent):

• NORMAL: "spread" (double) - std deviation divisor
• PERLIN: "octaves" (int), "persistence" (double), "frequency" (double)
• GENDY: "breakpoints" (int), "amplitude_dist" (Algorithm), "duration_dist" (Algorithm)
• BROWNIAN: "step_size" (double), "bounds_mode" (string)
• PINK/BLUE: "pole_count" (int)

Interactive/Live parameters (future-ready):

• GENDY: "breakpoint_amplitudes" (std::vector<double>) - inject external breakpoints
• GENDY: "breakpoint_durations" (std::vector<double>) - inject temporal structure
• PERLIN: "permutation_table" (std::vector<int>) - custom noise characteristics
• ANY: "modulation_source" (std::function<double()>) - external control signal
• ANY: "inference_callback" (std::function<void(GeneratorState&)>) - ML-driven state

Dynamic reconfiguration is fully supported - call anytime to alter behavior.

Definition at line 32 of file Stochastic.cpp.

{
    m_config[key] = std::move(value);
    m_dist_dirty = true;
}

References m_config, and m_dist_dirty.

Referenced by MayaFlux::Kinesis::Stochastic::brownian(), MayaFlux::Kinesis::Stochastic::gaussian(), MayaFlux::Kinesis::Stochastic::gendy(), MayaFlux::Kinesis::Stochastic::perlin(), and MayaFlux::Nodes::Generator::Random::set_normal_spread().

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