1.7 KiB
1.7 KiB
tags
| tags | |||
|---|---|---|---|
|
float
Documentation
- Class name:
ttN float - Category:
ttN/util - Output node:
False
The ttN_FLOAT node is designed for converting floating-point numbers into different formats. It takes a float as input and outputs the same value in float, integer, and string formats, facilitating versatile data manipulation and representation.
Input types
Required
float- The floating-point number to be converted. This input is crucial as it determines the base value from which the integer and string representations will be derived.
- Comfy dtype:
FLOAT - Python dtype:
float
Output types
float- Comfy dtype:
FLOAT - The original floating-point number input.
- Python dtype:
float
- Comfy dtype:
int- Comfy dtype:
INT - The integer representation of the input floating-point number.
- Python dtype:
int
- Comfy dtype:
text- Comfy dtype:
STRING - The string representation of the input floating-point number.
- Python dtype:
str
- Comfy dtype:
Usage tips
- Infra type:
CPU - Common nodes: unknown
Source code
class ttN_FLOAT:
version = '1.0.0'
def __init__(self):
pass
@classmethod
def INPUT_TYPES(s):
return {"required": {
"float": ("FLOAT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
},
"hidden": {"ttNnodeVersion": ttN_FLOAT.version},
}
RETURN_TYPES = ("FLOAT", "INT", "STRING",)
RETURN_NAMES = ("float", "int", "text",)
FUNCTION = "convert"
CATEGORY = "ttN/util"
@staticmethod
def convert(float):
return float, int(float), str(float)