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pickle.py
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pickle.py
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import logging
import sys
import cloudpickle
if sys.version_info.major == 2:
import cPickle as pickle
else:
import pickle
logger = logging.getLogger(__name__)
def _always_use_pickle_for(x):
mod, _, _ = x.__class__.__module__.partition(".")
if mod == "numpy":
import numpy as np
return isinstance(x, np.ndarray)
elif mod == "pandas":
import pandas as pd
return isinstance(x, pd.core.generic.NDFrame)
elif mod == "builtins":
return isinstance(x, (str, bytes))
else:
return False
def dumps(x):
""" Manage between cloudpickle and pickle
1. Try pickle
2. If it is short then check if it contains __main__
3. If it is long, then first check type, then check __main__
"""
try:
result = pickle.dumps(x, protocol=pickle.HIGHEST_PROTOCOL)
if len(result) < 1000:
if b"__main__" in result:
return cloudpickle.dumps(x, protocol=pickle.HIGHEST_PROTOCOL)
else:
return result
else:
if _always_use_pickle_for(x) or b"__main__" not in result:
return result
else:
return cloudpickle.dumps(x, protocol=pickle.HIGHEST_PROTOCOL)
except Exception:
try:
return cloudpickle.dumps(x, protocol=pickle.HIGHEST_PROTOCOL)
except Exception as e:
logger.info("Failed to serialize %s. Exception: %s", x, e)
raise
def loads(x):
try:
return pickle.loads(x)
except Exception:
logger.info("Failed to deserialize %s", x[:10000], exc_info=True)
raise