CavinHuang-comfyui-nodes-docs/nodes-docs/en-US/ComfyMath/docs/CM_FloatUnaryOperation.md

tags

tags
Math UnaryOperations VectorMath

FloatUnaryOperation

Documentation

• Class name: CM_FloatUnaryOperation
• Category: math/float
• Output node: False

This node performs unary operations on floating-point numbers, allowing for the application of a variety of mathematical functions to a single float input.

Input types

Required

• op
  • Specifies the unary operation to be performed on the input float. The choice of operation directly influences the outcome.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: str
• a
  • The floating-point number to be operated on. It serves as the input to the unary operation specified.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• float
  • Comfy dtype: FLOAT
  • The result of applying the specified unary operation on the input float.
  • Python dtype: Tuple[float]

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class FloatUnaryOperation:
    @classmethod
    def INPUT_TYPES(cls) -> Mapping[str, Any]:
        return {
            "required": {
                "op": (list(FLOAT_UNARY_OPERATIONS.keys()),),
                "a": DEFAULT_FLOAT,
            }
        }

    RETURN_TYPES = ("FLOAT",)
    FUNCTION = "op"
    CATEGORY = "math/float"

    def op(self, op: str, a: float) -> tuple[float]:
        return (FLOAT_UNARY_OPERATIONS[op](a),)