Trolli Schmittlauch
2c22aaede5
- dropping all history from the university paper in case it contains sensitive data
27 lines
1 KiB
Python
27 lines
1 KiB
Python
from functools import wraps
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import pickle
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import os
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def cache_return(func):
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"""caches the return value of a function locally as a pickle file"""
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@wraps(func)
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def wrapped(*args, **kwargs):
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CACHEDIR = "__picklecache__"
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if not os.path.exists(CACHEDIR):
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os.mkdir(CACHEDIR)
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cachefilename = "{}{}{}.pickle".format(func.__name__, args, kwargs)
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# if cached serialization exists, comparereturn it
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if os.path.exists(os.path.join(CACHEDIR, cachefilename)):
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with open(os.path.join(CACHEDIR, cachefilename), "rb") as loadfile:
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t = pickle.load(loadfile)
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if args == t[0] and kwargs == t[1]:
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return t[2]
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# otherwise call function and serialize its return value
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with open(os.path.join(CACHEDIR, cachefilename), "wb") as dumpfile:
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funcreturn = func(*args, **kwargs)
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t = (args, kwargs, funcreturn)
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pickle.dump(t, dumpfile)
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return funcreturn
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return wrapped
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