_ test_estimators[PassiveAggressiveClassifier(max_iter=5)-check_do_not_raise_errors_in_init_or_set_params] _
[gw0] linux -- Python 3.12.7 /usr/share/miniconda/envs/testvenv/bin/python

estimator = PassiveAggressiveClassifier(max_iter=5)
check = functools.partial(<function check_do_not_raise_errors_in_init_or_set_params at 0x7ff7ff70aca0>, 'PassiveAggressiveClassifier')
request = <FixtureRequest for <Function test_estimators[PassiveAggressiveClassifier(max_iter=5)-check_do_not_raise_errors_in_init_or_set_params]>>

    @parametrize_with_checks(list(_tested_estimators()))
    def test_estimators(estimator, check, request):
        # Common tests for estimator instances
        with ignore_warnings(
            category=(FutureWarning, ConvergenceWarning, UserWarning, LinAlgWarning)
        ):
>           check(estimator)

check      = functools.partial(<function check_do_not_raise_errors_in_init_or_set_params at 0x7ff7ff70aca0>, 'PassiveAggressiveClassifier')
estimator  = PassiveAggressiveClassifier(max_iter=5)
request    = <FixtureRequest for <Function test_estimators[PassiveAggressiveClassifier(max_iter=5)-check_do_not_raise_errors_in_init_or_set_params]>>

../1/s/sklearn/tests/test_common.py:120: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

name = 'PassiveAggressiveClassifier'
estimator_orig = PassiveAggressiveClassifier(max_iter=5)

    def check_do_not_raise_errors_in_init_or_set_params(name, estimator_orig):
        """Check that init or set_param does not raise errors."""
        Estimator = type(estimator_orig)
        params = signature(Estimator).parameters
    
        smoke_test_values = [-1, 3.0, "helloworld", np.array([1.0, 4.0]), [1], {}, []]
        for value in smoke_test_values:
            new_params = {key: value for key in params}
    
            # Does not raise
>           est = Estimator(**new_params)
E           TypeError: PassiveAggressiveClassifier.__init__() got an unexpected keyword argument 'args'

Estimator  = <class 'sklearn.linear_model._passive_aggressive.PassiveAggressiveClassifier'>
estimator_orig = PassiveAggressiveClassifier(max_iter=5)
name       = 'PassiveAggressiveClassifier'
new_params = {'args': -1, 'kwargs': -1}
params     = mappingproxy(OrderedDict({'args': <Parameter "*args">, 'kwargs': <Parameter "**kwargs">}))
smoke_test_values = [-1, 3.0, 'helloworld', array([1., 4.]), [1], {}, ...]
value      = -1