Type error with sklearn 1.2.3

[rekado]

When running the tests with sklearn 1.2.3 and Python 3.10 we get several test failures in tests/test_base.py due to a type error. Here is an example:

cls = <class 'MulticoreTSNE.tests.test_base.TestMulticoreTSNE'>

    @classmethod
    def setUpClass(cls):
>       cls.Xy = make_blobs(20, 100, 2, shuffle=False)

MulticoreTSNE/tests/test_base.py:24: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/gnu/store/9wg278fvlyi5gkz07r0q3xbyxxa1jd6p-python-scikit-learn-1.3.2/lib/python3.10/site-packages/sklearn/utils/_param_validation.py:192: in wrapper
    params = func_sig.bind(*args, **kwargs)
/gnu/store/4r7k7ipiaqkdf4lmnxwmbz0wx2yzygzc-python-3.10.7/lib/python3.10/inspect.py:3179: in bind
    return self._bind(args, kwargs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <Signature (n_samples=100, n_features=2, *, centers=None, cluster_std=1.0, center_box=(-10.0, 10.0), shuffle=True, random_state=None, return_centers=False)>
args = (20, 100, 2), kwargs = {'random_state': 0, 'shuffle': False}

    def _bind(self, args, kwargs, *, partial=False):
        """Private method. Don't use directly."""
    
        arguments = {}
    
        parameters = iter(self.parameters.values())
        parameters_ex = ()
        arg_vals = iter(args)
    
        while True:
            # Let's iterate through the positional arguments and corresponding
            # parameters
            try:
                arg_val = next(arg_vals)
            except StopIteration:
                # No more positional arguments
                try:
                    param = next(parameters)
                except StopIteration:
                    # No more parameters. That's it. Just need to check that
                    # we have no `kwargs` after this while loop
                    break
                else:
                    if param.kind == _VAR_POSITIONAL:
                        # That's OK, just empty *args.  Let's start parsing
                        # kwargs
                        break
                    elif param.name in kwargs:
                        if param.kind == _POSITIONAL_ONLY:
                            msg = '{arg!r} parameter is positional only, ' \
                                  'but was passed as a keyword'
                            msg = msg.format(arg=param.name)
                            raise TypeError(msg) from None
                        parameters_ex = (param,)
                        break
                    elif (param.kind == _VAR_KEYWORD or
                                                param.default is not _empty):
                        # That's fine too - we have a default value for this
                        # parameter.  So, lets start parsing `kwargs`, starting
                        # with the current parameter
                        parameters_ex = (param,)
                        break
                    else:
                        # No default, not VAR_KEYWORD, not VAR_POSITIONAL,
                        # not in `kwargs`
                        if partial:
                            parameters_ex = (param,)
                            break
                        else:
                            msg = 'missing a required argument: {arg!r}'
                            msg = msg.format(arg=param.name)
                            raise TypeError(msg) from None
            else:
                # We have a positional argument to process
                try:
                    param = next(parameters)
                except StopIteration:
                    raise TypeError('too many positional arguments') from None
                else:
                    if param.kind in (_VAR_KEYWORD, _KEYWORD_ONLY):
                        # Looks like we have no parameter for this positional
                        # argument
>                       raise TypeError(
                            'too many positional arguments') from None
E                       TypeError: too many positional arguments

/gnu/store/4r7k7ipiaqkdf4lmnxwmbz0wx2yzygzc-python-3.10.7/lib/python3.10/inspect.py:3105: TypeError

[DmitryUlyanov]

Yep, probably this test is based on very old version of sklearn.