Batch Float Fill (mtb)¶
Documentation¶
- Class name:
Batch Float Fill (mtb)
- Category:
mtb/batch
- Output node:
False
This node is designed to extend a batch of floating-point numbers to a specified length by filling it with a given value, either at the beginning or the end of the batch, depending on the specified direction.
Input types¶
Required¶
floats
- The list of floating-point numbers to be extended. It serves as the base batch that will be filled to reach the target length.
- Comfy dtype:
FLOATS
- Python dtype:
list[float]
direction
- Specifies whether the filling should occur at the beginning ('head') or the end ('tail') of the batch, influencing the order in which the batch is extended.
- Comfy dtype:
COMBO[STRING]
- Python dtype:
str
value
- The floating-point number used to fill the batch, allowing customization of the fill value.
- Comfy dtype:
FLOAT
- Python dtype:
float
count
- The target length for the batch after filling, determining how many times the fill value will be added.
- Comfy dtype:
INT
- Python dtype:
int
Output types¶
floats
- Comfy dtype:
FLOATS
- The resulting batch of floating-point numbers after being filled to the target length.
- Python dtype:
list[float]
- Comfy dtype:
Usage tips¶
- Infra type:
CPU
- Common nodes: unknown
Source code¶
class MTB_BatchFloatFill:
"""Fills a batch float with a single value until it reaches the target length"""
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"floats": ("FLOATS",),
"direction": (["head", "tail"], {"default": "tail"}),
"value": ("FLOAT", {"default": 0.0}),
"count": ("INT", {"default": 1}),
}
}
FUNCTION = "fill_floats"
RETURN_TYPES = ("FLOATS",)
CATEGORY = "mtb/batch"
def fill_floats(self, floats, direction, value, count):
size = len(floats)
if size > count:
raise ValueError(
f"Size ({size}) is less then target count ({count})"
)
rem = count - size
if direction == "tail":
floats = floats + [value] * rem
else:
floats = [value] * rem + floats
return (floats,)