Random Gaussian

Generates a random numeric value using a Gaussian (i.e. normal) distribution. The shape can be controlled with two inputs: “Mean” and “Standard Deviation.” These inputs can be numbers, vectors, tuples or arrays of these. If one input has a higher dimension than the other, then the input with the lower dimension will be repeated to match the dimension of the other input (broadcasting).

Installation

To use this node enable omni.graph.nodes_core in the Extension Manager.

Inputs

Name	Type	Descripton	Default
Exec In (inputs:execIn)	execution	Signal to the graph that this node is ready to be executed.	None
Is noise function (inputs:isNoise)	bool	Turn this node into a noise generator function. For a given seed, it will always output the same number(s).	False
	Metadata	hidden = true
	Metadata	literalOnly = 1
Mean (inputs:mean)	['colord[3]', 'colord[3][]', 'colord[4]', 'colord[4][]', 'colorf[3]', 'colorf[3][]', 'colorf[4]', 'colorf[4][]', 'colorh[3]', 'colorh[3][]', 'colorh[4]', 'colorh[4][]', 'double', 'double[2]', 'double[2][]', 'double[3]', 'double[3][]', 'double[4]', 'double[4][]', 'double[]', 'float', 'float[2]', 'float[2][]', 'float[3]', 'float[3][]', 'float[4]', 'float[4][]', 'float[]', 'half', 'half[2]', 'half[2][]', 'half[3]', 'half[3][]', 'half[4]', 'half[4][]', 'half[]', 'normald[3]', 'normald[3][]', 'normalf[3]', 'normalf[3][]', 'normalh[3]', 'normalh[3][]', 'pointd[3]', 'pointd[3][]', 'pointf[3]', 'pointf[3][]', 'pointh[3]', 'pointh[3][]', 'quatd[4]', 'quatd[4][]', 'quatf[4]', 'quatf[4][]', 'quath[4]', 'quath[4][]', 'texcoordd[2]', 'texcoordd[2][]', 'texcoordd[3]', 'texcoordd[3][]', 'texcoordf[2]', 'texcoordf[2][]', 'texcoordf[3]', 'texcoordf[3][]', 'texcoordh[2]', 'texcoordh[2][]', 'texcoordh[3]', 'texcoordh[3][]', 'timecode', 'timecode[]', 'vectord[3]', 'vectord[3][]', 'vectorf[3]', 'vectorf[3][]', 'vectorh[3]', 'vectorh[3][]']	The mean of the normal distribution. Can be a number, vector, tuple, or array of these. The default value is double 0.	None
Seed (inputs:seed)	uint64	The input seed value for the random number generator.	None
Standard Deviation (inputs:stdev)	['colord[3]', 'colord[3][]', 'colord[4]', 'colord[4][]', 'colorf[3]', 'colorf[3][]', 'colorf[4]', 'colorf[4][]', 'colorh[3]', 'colorh[3][]', 'colorh[4]', 'colorh[4][]', 'double', 'double[2]', 'double[2][]', 'double[3]', 'double[3][]', 'double[4]', 'double[4][]', 'double[]', 'float', 'float[2]', 'float[2][]', 'float[3]', 'float[3][]', 'float[4]', 'float[4][]', 'float[]', 'half', 'half[2]', 'half[2][]', 'half[3]', 'half[3][]', 'half[4]', 'half[4][]', 'half[]', 'normald[3]', 'normald[3][]', 'normalf[3]', 'normalf[3][]', 'normalh[3]', 'normalh[3][]', 'pointd[3]', 'pointd[3][]', 'pointf[3]', 'pointf[3][]', 'pointh[3]', 'pointh[3][]', 'quatd[4]', 'quatd[4][]', 'quatf[4]', 'quatf[4][]', 'quath[4]', 'quath[4][]', 'texcoordd[2]', 'texcoordd[2][]', 'texcoordd[3]', 'texcoordd[3][]', 'texcoordf[2]', 'texcoordf[2][]', 'texcoordf[3]', 'texcoordf[3][]', 'texcoordh[2]', 'texcoordh[2][]', 'texcoordh[3]', 'texcoordh[3][]', 'timecode', 'timecode[]', 'vectord[3]', 'vectord[3][]', 'vectorf[3]', 'vectorf[3][]', 'vectorh[3]', 'vectorh[3][]']	The standard deviation of the normal distribution. Can be a number, vector, tuple, or array of these. The default value is double 1.	None
Use log-normal (inputs:useLog)	bool	Use a log-normal distribution instead of the standard normal distribution.	False
Use seed (inputs:useSeed)	bool	Use the custom seed instead of a random one.	False

Outputs

Name	Type	Descripton	Default
Exec Out (outputs:execOut)	execution	Signal to the graph that execution can continue downstream.	None
Random Gaussian (outputs:random)	['colord[3]', 'colord[3][]', 'colord[4]', 'colord[4][]', 'colorf[3]', 'colorf[3][]', 'colorf[4]', 'colorf[4][]', 'colorh[3]', 'colorh[3][]', 'colorh[4]', 'colorh[4][]', 'double', 'double[2]', 'double[2][]', 'double[3]', 'double[3][]', 'double[4]', 'double[4][]', 'double[]', 'float', 'float[2]', 'float[2][]', 'float[3]', 'float[3][]', 'float[4]', 'float[4][]', 'float[]', 'half', 'half[2]', 'half[2][]', 'half[3]', 'half[3][]', 'half[4]', 'half[4][]', 'half[]', 'normald[3]', 'normald[3][]', 'normalf[3]', 'normalf[3][]', 'normalh[3]', 'normalh[3][]', 'pointd[3]', 'pointd[3][]', 'pointf[3]', 'pointf[3][]', 'pointh[3]', 'pointh[3][]', 'quatd[4]', 'quatd[4][]', 'quatf[4]', 'quatf[4][]', 'quath[4]', 'quath[4][]', 'texcoordd[2]', 'texcoordd[2][]', 'texcoordd[3]', 'texcoordd[3][]', 'texcoordf[2]', 'texcoordf[2][]', 'texcoordf[3]', 'texcoordf[3][]', 'texcoordh[2]', 'texcoordh[2][]', 'texcoordh[3]', 'texcoordh[3][]', 'timecode', 'timecode[]', 'vectord[3]', 'vectord[3][]', 'vectorf[3]', 'vectorf[3][]', 'vectorh[3]', 'vectorh[3][]']	The random Gaussian value that was generated.	None

State

Name	Type	Descripton	Default
Gen (state:gen)	matrixd[3]	Random number generator internal state. Not an actual matrix, the structure was chosen because it was large enough to hold the internal data required for the computation.	None

Metadata

Name	Value
Unique ID	omni.graph.nodes.RandomGaussian
Version	1
Extension	omni.graph.nodes_core
Has State?	True
Implementation Language	C++
Default Memory Type	cpu
Generated Code Exclusions	None
uiName	Random Gaussian
Categories	math:operator
Generated Class Name	OgnRandomGaussianDatabase
Python Module	omni.graph.nodes_core