def test_custom_evaluator_forwards_splitter_params_correctly():
	custom_evaluator = CustomEvalutor(..., splitter=GroupKFold(...), params={})
	
	# Failing due to required metadata (an exceptional case of metadata for Group* splitters)
	# However it's a generic `ValueError` and not a MetaData kind of error.
	with pytest.raises(ValueError, match="The 'groups' parameter should not be None."):
		custom_evaluator.blub(...)
	
	# All good, parameters specified
	custom_evaluator = CustomEvalutor(..., splitter=GroupKFold(...), params={"groups": groups})
	custom_evaluator.blub()

def test_custom_evaluator_forwards_estimator_params_correctly():
    estimator = DummyClassifier()
    
    # True, False, None, "sample_weight" can't indicate that this **needs** sample weights
    estimator.set_fit_request(sample_weight=...) 
    
	custom_evaluator = CustomEvalutor(estimator, params={})
	
	# No error will be raised in any case, can't use this to test that sample_weight actually
	# got passed
	with pytest.raises(SomeMetaDataError):
		custom_evaluator.blub(...)
	
	# Will pass regardless, I just don't know if my CustomEvaluator actually did what it
	# was meant to
	custom_evaluator = CustomEvalutor(estimator, params={"sample_weight": sample_weight})
	custom_evaluator.blub(...)