Encapsulates internal state for stateful generators. More...

#include <Stochastic.hpp>

Collaboration diagram for MayaFlux::Kinesis::Stochastic::GeneratorState:

Public Member Functions
void	reset ()

Public Attributes
double	current_value { 0.0 }

double	previous_value { 0.0 }

double	velocity { 0.0 }

double	phase { 0.0 }

uint64_t	step_count { 0 }

std::vector< double >	internal_buffer

std::map< std::string, std::any >	algorithm_specific

Detailed Description

Encapsulates internal state for stateful generators.

Stateful generators (Gendy, Brownian, Perlin) maintain internal state that evolves over successive calls. This structure provides unified state management across different algorithmic approaches.

Future Interaction Pathways:

External ML inference can populate internal_buffer with predicted sequences
Analysis of audio/visual data can derive breakpoints for Gendy synthesis
Cross-domain mappings can modulate velocity or phase in real-time
Pattern recognition can inject structure into algorithm_specific state

All fields are publicly accessible for maximum flexibility in live interaction.

Definition at line 39 of file Stochastic.hpp.

The documentation for this struct was generated from the following file:

Stochastic.hpp

Public Member Functions

Public Attributes

Detailed Description