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from __future__ import annotations | |
def validate_node_input( | |
received_type: str, input_type: str, strict: bool = False | |
) -> bool: | |
""" | |
received_type and input_type are both strings of the form "T1,T2,...". | |
If strict is True, the input_type must contain the received_type. | |
For example, if received_type is "STRING" and input_type is "STRING,INT", | |
this will return True. But if received_type is "STRING,INT" and input_type is | |
"INT", this will return False. | |
If strict is False, the input_type must have overlap with the received_type. | |
For example, if received_type is "STRING,BOOLEAN" and input_type is "STRING,INT", | |
this will return True. | |
Supports pre-union type extension behaviour of ``__ne__`` overrides. | |
""" | |
# If the types are exactly the same, we can return immediately | |
# Use pre-union behaviour: inverse of `__ne__` | |
if not received_type != input_type: | |
return True | |
# Not equal, and not strings | |
if not isinstance(received_type, str) or not isinstance(input_type, str): | |
return False | |
# Split the type strings into sets for comparison | |
received_types = set(t.strip() for t in received_type.split(",")) | |
input_types = set(t.strip() for t in input_type.split(",")) | |
if strict: | |
# In strict mode, all received types must be in the input types | |
return received_types.issubset(input_types) | |
else: | |
# In non-strict mode, there must be at least one type in common | |
return len(received_types.intersection(input_types)) > 0 | |