`isdtype` not supported by old version numpy (NumPy 1.26.4)

[songyesog2000]

isdtype not supported by old version numpy (NumPy 1.26.4), please let me how to resolve this issue, should we ensure users of our package are using NumPy 2+? TIA

_____________________________________________________________________________________________________________________ DirMultLMETests.test_dirmult_lme_vc_formula ______________________________________________________________________________________________________________________

self = <skbio.stats.tests.test_composition.DirMultLMETests testMethod=test_dirmult_lme_vc_formula>

    def test_dirmult_lme_vc_formula(self):
>       res = dirmult_lme(
            table=self.table, metadata=self.metadata, formula="Covar2 + Covar3",
            grouping="Covar1", draws=1, seed=0, p_adjust="sidak",
            vc_formula={"Covar2": "0 + C(Covar2)"})

../skbio/stats/tests/test_composition.py:2148:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
../skbio/stats/composition.py:2837: in dirmult_lme
    _check_composition(np, matrix)
../skbio/stats/composition.py:204: in _check_composition
    if not xp.isdtype(mat.dtype, "numeric"):
           ^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

attr = 'isdtype'

    def __getattr__(attr):
        # Warn for expired attributes, and return a dummy function
        # that always raises an exception.
        import warnings
        import math
        try:
            msg = __expired_functions__[attr]
        except KeyError:
            pass
        else:
            warnings.warn(msg, DeprecationWarning, stacklevel=2)

            def _expired(*args, **kwds):
                raise RuntimeError(msg)

            return _expired

        # Emit warnings for deprecated attributes
        try:
            val, msg = __deprecated_attrs__[attr]
        except KeyError:
            pass
        else:
            warnings.warn(msg, DeprecationWarning, stacklevel=2)
            return val

        if attr in __future_scalars__:
            # And future warnings for those that will change, but also give
            # the AttributeError
            warnings.warn(
                f"In the future `np.{attr}` will be defined as the "
                "corresponding NumPy scalar.", FutureWarning, stacklevel=2)

        if attr in __former_attrs__:
            raise AttributeError(__former_attrs__[attr])

        if attr == 'testing':
            import numpy.testing as testing
            return testing
        elif attr == 'Tester':
            "Removed in NumPy 1.25.0"
            raise RuntimeError("Tester was removed in NumPy 1.25.")

>       raise AttributeError("module {!r} has no attribute "
                             "{!r}".format(__name__, attr))
E       AttributeError: module 'numpy' has no attribute 'isdtype'. Did you mean: 'dtype'?

[ev-br]

Could you check if you're using an array_api_compat wrapped namespace?

In [1]: import numpy as np

In [2]: from array_api_compat import array_namespace

In [3]: xp = array_namespace(np.arange(3))

In [4]: np.__version__
Out[4]: '1.26.4'

In [5]: xp.isdtype(np.arange(4).dtype, 'integral')
Out[5]: True

In [6]: np.isdtype(np.arange(4), 'integral')
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)

.... snip ...

AttributeError: module 'numpy' has no attribute 'isdtype'

[songyesog2000]

Could you check if you're using an array_api_compat wrapped namespace?

In [1]: import numpy as np

In [2]: from array_api_compat import array_namespace

In [3]: xp = array_namespace(np.arange(3))

In [4]: np.__version__
Out[4]: '1.26.4'

In [5]: xp.isdtype(np.arange(4).dtype, 'integral')
Out[5]: True

In [6]: np.isdtype(np.arange(4), 'integral')
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)

.... snip ...

AttributeError: module 'numpy' has no attribute 'isdtype'

I see, we had a wrapper of array_namespace to return numpy, but now I realized that it is different from aac.array_namespace(a np array)