77 lines
2.1 KiB
Python
77 lines
2.1 KiB
Python
from sklearn.utils.metaestimators import if_delegate_has_method
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class Prefix:
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def func(self):
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pass
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class MockMetaEstimator:
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"""This is a mock meta estimator"""
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a_prefix = Prefix()
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@if_delegate_has_method(delegate="a_prefix")
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def func(self):
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"""This is a mock delegated function"""
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pass
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def test_delegated_docstring():
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assert "This is a mock delegated function" \
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in str(MockMetaEstimator.__dict__['func'].__doc__)
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assert "This is a mock delegated function" \
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in str(MockMetaEstimator.func.__doc__)
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assert "This is a mock delegated function" \
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in str(MockMetaEstimator().func.__doc__)
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class MetaEst:
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"""A mock meta estimator"""
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def __init__(self, sub_est, better_sub_est=None):
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self.sub_est = sub_est
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self.better_sub_est = better_sub_est
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@if_delegate_has_method(delegate='sub_est')
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def predict(self):
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pass
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class MetaEstTestTuple(MetaEst):
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"""A mock meta estimator to test passing a tuple of delegates"""
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@if_delegate_has_method(delegate=('sub_est', 'better_sub_est'))
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def predict(self):
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pass
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class MetaEstTestList(MetaEst):
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"""A mock meta estimator to test passing a list of delegates"""
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@if_delegate_has_method(delegate=['sub_est', 'better_sub_est'])
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def predict(self):
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pass
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class HasPredict:
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"""A mock sub-estimator with predict method"""
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def predict(self):
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pass
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class HasNoPredict:
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"""A mock sub-estimator with no predict method"""
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pass
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def test_if_delegate_has_method():
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assert hasattr(MetaEst(HasPredict()), 'predict')
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assert not hasattr(MetaEst(HasNoPredict()), 'predict')
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assert not hasattr(MetaEstTestTuple(HasNoPredict(), HasNoPredict()),
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'predict')
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assert hasattr(MetaEstTestTuple(HasPredict(), HasNoPredict()), 'predict')
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assert not hasattr(MetaEstTestTuple(HasNoPredict(), HasPredict()),
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'predict')
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assert not hasattr(MetaEstTestList(HasNoPredict(), HasPredict()),
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'predict')
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assert hasattr(MetaEstTestList(HasPredict(), HasPredict()), 'predict')
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