Fail to pickle `SplineTransformer` with `scipy==1.15.0rc1`

### Describe the bug

Spotted in scikit-lego, running `check_estimators_pickle` fails with `SplineTransformer` and `readonly_memmap=True`.

cc: @koaning

### Steps/Code to Reproduce

```py
from sklearn.utils.estimator_checks import check_estimators_pickle
from sklearn.preprocessing import SplineTransformer


check_estimators_pickle(
    name="hello",
    estimator_orig=SplineTransformer(),
    readonly_memmap=True,
)
```

### Expected Results

Not to raise 

### Actual Results

```
Traceback (most recent call last):
  File "/home/fbruzzesi/open-source/scikit-lego/t.py", line 5, in <module>
    check_estimators_pickle(
  File "/home/fbruzzesi/open-source/scikit-lego/.venv-pre/lib/python3.10/site-packages/sklearn/utils/_testing.py", line 147, in wrapper
    return fn(*args, **kwargs)
  File "/home/fbruzzesi/open-source/scikit-lego/.venv-pre/lib/python3.10/site-packages/sklearn/utils/estimator_checks.py", line 2354, in check_estimators_pickle
    unpickled_result = getattr(unpickled_estimator, method)(X)
  File "/home/fbruzzesi/open-source/scikit-lego/.venv-pre/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 319, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "/home/fbruzzesi/open-source/scikit-lego/.venv-pre/lib/python3.10/site-packages/sklearn/preprocessing/_polynomial.py", line 1036, in transform
    f_min, f_max = spl(xmin), spl(xmax)
  File "/home/fbruzzesi/open-source/scikit-lego/.venv-pre/lib/python3.10/site-packages/scipy/interpolate/_bsplines.py", line 523, in __call__
    _dierckx.evaluate_spline(self.t, cc.reshape(cc.shape[0], -1),
ValueError: Expected a 1-dim C contiguous array  of dtype = 12( got 12 )
```

### Versions

```shell
System:
    python: 3.10.12 (main, Nov  6 2024, 20:22:13) [GCC 11.4.0]
   machine: Linux-5.15.133.1-microsoft-standard-WSL2-x86_64-with-glibc2.35

Python dependencies:
      sklearn: 1.6.0
          pip: 24.1
   setuptools: None
        numpy: 2.2.0
        scipy: 1.15.0rc1
       Cython: None
       pandas: 2.2.3
   matplotlib: None
       joblib: 1.4.2
threadpoolctl: 3.5.0

Built with OpenMP: True

threadpoolctl info:
       user_api: blas
   internal_api: openblas
    num_threads: 12
         prefix: libscipy_openblas
       filepath: /home/fbruzzesi/open-source/scikit-lego/.venv-pre/lib/python3.10/site-packages/numpy.libs/libscipy_openblas64_-6bb31eeb.so
        version: 0.3.28
threading_layer: pthreads
   architecture: Haswell

       user_api: blas
   internal_api: openblas
    num_threads: 12
         prefix: libscipy_openblas
       filepath: /home/fbruzzesi/open-source/scikit-lego/.venv-pre/lib/python3.10/site-packages/scipy.libs/libscipy_openblas-68440149.so
        version: 0.3.28
threading_layer: pthreads
   architecture: Haswell

       user_api: openmp
   internal_api: openmp
    num_threads: 12
         prefix: libgomp
       filepath: /home/fbruzzesi/open-source/scikit-lego/.venv-pre/lib/python3.10/site-packages/scikit_learn.libs/libgomp-a34b3233.so.1.0.0
        version: None
```

COMMENT:
Hmmm no suggestion off the top of my head, my wild guess would be that it is a scipy regression when using memmap. If that's indeed the case it would be very useful to report it to scipy before they do their 1.15 release.

Labels: Bug