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conditions.py
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import re
import torch
from .tools import VariantSupport
@VariantSupport()
class IntConditions:
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"a": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}),
"b": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}),
"operation": (["==", "!=", "<", ">", "<=", ">="],),
},
}
RETURN_TYPES = ("BOOLEAN",)
FUNCTION = "int_condition"
CATEGORY = "InversionDemo Nodes/Logic"
def int_condition(self, a, b, operation):
if operation == "==":
return (a == b,)
elif operation == "!=":
return (a != b,)
elif operation == "<":
return (a < b,)
elif operation == ">":
return (a > b,)
elif operation == "<=":
return (a <= b,)
elif operation == ">=":
return (a >= b,)
@VariantSupport()
class FloatConditions:
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"a": ("FLOAT", {"default": 0, "min": -999999999999.0, "max": 999999999999.0, "step": 1}),
"b": ("FLOAT", {"default": 0, "min": -999999999999.0, "max": 999999999999.0, "step": 1}),
"operation": (["==", "!=", "<", ">", "<=", ">="],),
},
}
RETURN_TYPES = ("BOOLEAN",)
FUNCTION = "float_condition"
CATEGORY = "InversionDemo Nodes/Logic"
def float_condition(self, a, b, operation):
if operation == "==":
return (a == b,)
elif operation == "!=":
return (a != b,)
elif operation == "<":
return (a < b,)
elif operation == ">":
return (a > b,)
elif operation == "<=":
return (a <= b,)
elif operation == ">=":
return (a >= b,)
@VariantSupport()
class StringConditions:
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"a": ("STRING", {"multiline": False}),
"b": ("STRING", {"multiline": False}),
"operation": (["a == b", "a != b", "a IN b", "a MATCH REGEX(b)", "a BEGINSWITH b", "a ENDSWITH b"],),
"case_sensitive": ("BOOLEAN", {"default": True}),
},
}
RETURN_TYPES = ("BOOLEAN",)
FUNCTION = "string_condition"
CATEGORY = "InversionDemo Nodes/Logic"
def string_condition(self, a, b, operation, case_sensitive):
if not case_sensitive:
a = a.lower()
b = b.lower()
if operation == "a == b":
return (a == b,)
elif operation == "a != b":
return (a != b,)
elif operation == "a IN b":
return (a in b,)
elif operation == "a MATCH REGEX(b)":
try:
return (re.match(b, a) is not None,)
except:
return (False,)
elif operation == "a BEGINSWITH b":
return (a.startswith(b),)
elif operation == "a ENDSWITH b":
return (a.endswith(b),)
@VariantSupport()
class ToBoolNode:
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"value": ("*",),
},
"optional": {
"invert": ("BOOLEAN", {"default": False}),
},
}
RETURN_TYPES = ("BOOLEAN",)
FUNCTION = "to_bool"
CATEGORY = "InversionDemo Nodes/Logic"
def to_bool(self, value, invert = False):
if isinstance(value, torch.Tensor):
if value.max().item() == 0 and value.min().item() == 0:
result = False
else:
result = True
else:
try:
result = bool(value)
except:
# Can't convert it? Well then it's something or other. I dunno, I'm not a Python programmer.
result = True
if invert:
result = not result
return (result,)
@VariantSupport()
class BoolOperationNode:
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"a": ("BOOLEAN",),
"b": ("BOOLEAN",),
"op": (["a AND b", "a OR b", "a XOR b", "NOT a"],),
},
}
RETURN_TYPES = ("BOOLEAN",)
FUNCTION = "bool_operation"
CATEGORY = "InversionDemo Nodes/Logic"
def bool_operation(self, a, b, op):
if op == "a AND b":
return (a and b,)
elif op == "a OR b":
return (a or b,)
elif op == "a XOR b":
return (a ^ b,)
elif op == "NOT a":
return (not a,)
CONDITION_NODE_CLASS_MAPPINGS = {
"IntConditions": IntConditions,
"FloatConditions": FloatConditions,
"StringConditions": StringConditions,
"ToBoolNode": ToBoolNode,
"BoolOperationNode": BoolOperationNode,
}
CONDITION_NODE_DISPLAY_NAME_MAPPINGS = {
"IntConditions": "Int Condition",
"FloatConditions": "Float Condition",
"StringConditions": "String Condition",
"ToBoolNode": "To Bool",
"BoolOperationNode": "Bool Operation",
}