FloatUnaryCondition

Documentation

Class name: CM_FloatUnaryCondition
Category: math/float
Output node: False

This node performs unary operations on floating-point numbers based on a specified condition. It evaluates a single float input against a predefined condition, such as checking if the number is zero, positive, negative, or NaN, among others.

Input types

Required

op
- Specifies the unary operation to be performed on the float input. The operation is chosen from a predefined list of conditions like 'IsZero', 'IsPositive', etc., which determine the nature of the evaluation.
- Comfy dtype: COMBO[STRING]
- Python dtype: str
a
- The floating-point number to be evaluated against the specified unary condition.
- Comfy dtype: FLOAT
- Python dtype: float

Output types

bool
- Comfy dtype: BOOL
- The result of the unary condition evaluation, indicating whether the condition holds true for the input float.
- Python dtype: bool

Usage tips

Infra type: CPU
Common nodes: unknown

Source code

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

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

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

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