Class Gradient

constructor

• new Gradient(color?: [Vector3, number][], alpha?: [number, number][]): Gradient

  Parameters

  • Optionalcolor: [Vector3, number][]
  • Optionalalpha: [number, number][]

  Returns Gradient

alpha

color

type

Static ReadonlyTABLE_SIZE

clearTable

• clearTable(): void

  Drops the sampled table, so later reads go back to evaluating the keys.

  Returns void

clone

• clone(): FunctionColorGenerator

  Returns FunctionColorGenerator

genColor

• genColor(memory: GeneratorMemory, color: Vector4, t: number): Vector4

  Parameters

  • memory: GeneratorMemory
  • color: Vector4
  • t: number

  Returns Vector4

genColorExact

• genColorExact(color: Vector4, t: number): Vector4

  Evaluates the gradient keys themselves, ignoring any sampled table.

  Parameters

  • color: Vector4
  • t: number

  Returns Vector4

refreshTable

• refreshTable(): void

  Rebuilds the sampled table when the gradient changed, otherwise does nothing. See PiecewiseBezier.refreshTable — same reasoning, and the same signature check so a gradient edited in an editor is picked up.

  Returns void

startGen

• startGen(memory: GeneratorMemory): void

  Parameters

  • memory: GeneratorMemory

  Returns void

toJSON

• toJSON(): FunctionJSON

  Returns FunctionJSON

StaticfromJSON

• fromJSON(json: FunctionJSON): Gradient

  Parameters

  • json: FunctionJSON

  Returns Gradient