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online serving v10
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@@ -732,7 +732,7 @@ def flatten_dict(d, parent_key="", sep="."):
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"""
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items = []
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for k, v in d.items():
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new_key = parent_key + sep + k if parent_key else k
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new_key = parent_key + sep + str(k) if parent_key else k
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if isinstance(v, collections.abc.MutableMapping):
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items.extend(flatten_dict(v, new_key, sep=sep).items())
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else:
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@@ -3,6 +3,7 @@
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from pathlib import Path
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import pickle
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import dill
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from typing import Union
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@@ -14,6 +15,8 @@ class Serializable:
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- For examples, a learnable Datahandler just wants to save the parameters without data when dumping to disk
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"""
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pickle_backend = "pickle" # another optional value is "dill" which can pickle more things of python.
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def __init__(self):
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self._dump_all = False
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self._exclude = []
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@@ -74,4 +77,35 @@ class Serializable:
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def to_pickle(self, path: Union[Path, str], dump_all: bool = None, exclude: list = None):
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self.config(dump_all=dump_all, exclude=exclude)
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with Path(path).open("wb") as f:
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pickle.dump(self, f)
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if self.pickle_backend == "pickle":
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pickle.dump(self, f)
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elif self.pickle_backend == "dill":
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dill.dump(self, f)
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else:
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raise ValueError("Unknown pickle backend, please use 'pickle' or 'dill'.")
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@classmethod
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def load(cls, filepath):
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"""
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load the collector from a file
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Args:
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filepath (str): the path of file
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Raises:
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TypeError: the pickled file must be `Collector`
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Returns:
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Collector: the instance of Collector
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"""
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with open(filepath, "rb") as f:
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if cls.pickle_backend == "pickle":
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object = pickle.load(f)
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elif cls.pickle_backend == "dill":
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object = dill.load(f)
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else:
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raise ValueError("Unknown pickle backend, please use 'pickle' or 'dill'.")
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if isinstance(object, cls):
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return object
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else:
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raise TypeError(f"The instance of {type(object)} is not a valid `{type(cls)}`!")
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