Files
tensorneat-mend/tensorneat/common/stateful_class.py
2024-07-10 11:24:11 +08:00

70 lines
2.2 KiB
Python

import json
from typing import Optional
from . import State
import pickle
import datetime
import warnings
class StatefulBaseClass:
def setup(self, state=State()):
return state
def save(self, state: Optional[State] = None, path: Optional[str] = None):
if path is None:
time = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
path = f"./{self.__class__.__name__} {time}.pkl"
if state is not None:
self.__dict__["aux_for_state"] = state
with open(path, "wb") as f:
pickle.dump(self, f)
def __getstate__(self):
# only pickle the picklable attributes
state = self.__dict__.copy()
non_picklable_keys = []
for key, value in state.items():
try:
pickle.dumps(value)
except Exception:
non_picklable_keys.append(key)
for key in non_picklable_keys:
state.pop(key)
return state
def show_config(self):
config = {}
for key, value in self.__dict__.items():
if isinstance(value, StatefulBaseClass):
config[str(key)] = value.show_config()
else:
config[str(key)] = str(value)
return config
@classmethod
def load(cls, path: str, with_state: bool = False, warning: bool = True):
with open(path, "rb") as f:
obj = pickle.load(f)
if with_state:
if "aux_for_state" not in obj.__dict__:
if warning:
warnings.warn(
"This object does not have state to load, return empty state",
category=UserWarning,
)
return obj, State()
state = obj.__dict__["aux_for_state"]
del obj.__dict__["aux_for_state"]
return obj, state
else:
if "aux_for_state" in obj.__dict__:
if warning:
warnings.warn(
"This object has state to load, ignore it",
category=UserWarning,
)
del obj.__dict__["aux_for_state"]
return obj