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HowToSD-ComfyUI-Data-Analysis/modules/numpy_wrapper/numpy_int_create.py
T

49 lines
1.2 KiB
Python

from typing import Any, Dict
import numpy as np
import ast
class NumpyIntCreate:
"""
Creates a NumPy ndarray with 32-bit integer
using values entered in the text field.
category: Numpy
"""
@classmethod
def INPUT_TYPES(cls) -> Dict[str, Any]:
"""
Defines the input types for the function.
Returns:
Dict[str, Any]: A dictionary specifying required input types.
"""
return {
"required": {
"data": ("STRING", {"multiline": True}),
}
}
RETURN_TYPES: tuple = ("NDARRAY",)
FUNCTION: str = "f"
CATEGORY: str = "Numpy wrapper"
def f(self, data: str) -> tuple:
"""
Creates a NumPy ndarray with 32-bit integer using values
entered in the text field.
Args:
data (str): String value in the text field.
Returns:
tuple: A tuple containing the NumPy ndarray.
"""
# Convert string to Python list
list_data = ast.literal_eval(data)
# Convert list to NumPy int32 array
array = np.array(list_data, dtype=np.int32)
return (array,)