Encapsulates internal state for stateful generators. More...

#include <Stochastic.hpp>

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

Public Member Functions
void	reset ()

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

double	current_value { 0.0 }

std::vector< double >	internal_buffer

double	phase { 0.0 }

double	previous_value { 0.0 }

uint64_t	step_count { 0 }

double	velocity { 0.0 }

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