MayaFlux::Nodes::Generator::RandomContext Class Reference

Specialized context for stochastic generator callbacks. More...

#include <Random.hpp>

Inheritance diagram for MayaFlux::Nodes::Generator::RandomContext:

Collaboration diagram for MayaFlux::Nodes::Generator::RandomContext:

Public Member Functions
	RandomContext (double value, Kinesis::Stochastic::Algorithm type, double amplitude, double range_start, double range_end, double normal_spread)
	Constructs a RandomContext with the current generator state.
Public Member Functions inherited from MayaFlux::Nodes::NodeContext
template<typename T >
T *	as ()
	Safely cast to a derived context type.
template<typename T >
const T *	as () const
virtual	~NodeContext ()=default

Public Attributes
double	amplitude
	Current amplitude scaling factor.
Kinesis::Stochastic::Algorithm	distribution_type
	Current distribution type.
double	normal_spread
	Current variance parameter for normal distribution.
double	range_end
	Current upper bound of the range.
double	range_start
	Current lower bound of the range.
Public Attributes inherited from MayaFlux::Nodes::NodeContext
std::string	type_id
	Type identifier for runtime type checking.
double	value
	Current sample value.

Additional Inherited Members
Protected Member Functions inherited from MayaFlux::Nodes::NodeContext
	NodeContext (double value, std::string type)
	Protected constructor for NodeContext.

Detailed Description

Specialized context for stochastic generator callbacks.

RandomContext extends the base NodeContext to provide detailed information about a stochastic generator's current state to callbacks. It includes the current distribution type, amplitude scaling, range parameters, and statistical configuration values.

This rich context enables callbacks to perform sophisticated analysis and monitoring of stochastic behavior, such as:

• Tracking statistical properties of generated sequences
• Implementing adaptive responses to emergent patterns
• Visualizing probability distributions in real-time
• Creating cross-domain mappings based on stochastic properties
• Detecting and responding to specific statistical conditions

Definition at line 25 of file Nodes/Generators/Random.hpp.

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

• Nodes/Generators/Random.hpp