49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
class Bunch(dict):
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"""Container object exposing keys as attributes.
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Bunch objects are sometimes used as an output for functions and methods.
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They extend dictionaries by enabling values to be accessed by key,
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`bunch["value_key"]`, or by an attribute, `bunch.value_key`.
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Examples
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--------
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>>> from sklearn.utils import Bunch
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>>> b = Bunch(a=1, b=2)
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>>> b['b']
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2
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>>> b.b
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2
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>>> b.a = 3
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>>> b['a']
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3
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>>> b.c = 6
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>>> b['c']
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6
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"""
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def __init__(self, **kwargs):
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super().__init__(kwargs)
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def __setattr__(self, key, value):
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self[key] = value
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def __dir__(self):
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return self.keys()
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def __getattr__(self, key):
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try:
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return self[key]
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except KeyError:
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raise AttributeError(key)
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def __setstate__(self, state):
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# Bunch pickles generated with scikit-learn 0.16.* have an non
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# empty __dict__. This causes a surprising behaviour when
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# loading these pickles scikit-learn 0.17: reading bunch.key
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# uses __dict__ but assigning to bunch.key use __setattr__ and
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# only changes bunch['key']. More details can be found at:
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# https://github.com/scikit-learn/scikit-learn/issues/6196.
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# Overriding __setstate__ to be a noop has the effect of
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# ignoring the pickled __dict__
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pass
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