add License and pyproject.toml
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69
src/tensorneat/common/stateful_class.py
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69
src/tensorneat/common/stateful_class.py
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import json
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from typing import Optional
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from . import State
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import pickle
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import datetime
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import warnings
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class StatefulBaseClass:
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def setup(self, state=State()):
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return state
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def save(self, state: Optional[State] = None, path: Optional[str] = None):
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if path is None:
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time = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
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path = f"./{self.__class__.__name__} {time}.pkl"
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if state is not None:
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self.__dict__["aux_for_state"] = state
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with open(path, "wb") as f:
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pickle.dump(self, f)
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def __getstate__(self):
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# only pickle the picklable attributes
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state = self.__dict__.copy()
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non_picklable_keys = []
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for key, value in state.items():
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try:
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pickle.dumps(value)
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except Exception:
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non_picklable_keys.append(key)
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for key in non_picklable_keys:
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state.pop(key)
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return state
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def show_config(self):
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config = {}
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for key, value in self.__dict__.items():
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if isinstance(value, StatefulBaseClass):
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config[str(key)] = value.show_config()
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else:
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config[str(key)] = str(value)
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return config
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@classmethod
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def load(cls, path: str, with_state: bool = False, warning: bool = True):
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with open(path, "rb") as f:
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obj = pickle.load(f)
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if with_state:
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if "aux_for_state" not in obj.__dict__:
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if warning:
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warnings.warn(
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"This object does not have state to load, return empty state",
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category=UserWarning,
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)
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return obj, State()
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state = obj.__dict__["aux_for_state"]
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del obj.__dict__["aux_for_state"]
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return obj, state
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else:
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if "aux_for_state" in obj.__dict__:
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if warning:
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warnings.warn(
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"This object has state to load, ignore it",
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category=UserWarning,
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)
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del obj.__dict__["aux_for_state"]
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return obj
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