mypy infers `numpy.float64` instead of `Any` for `numpy.ndarray.__iter__` in numpy 2.2.2

Bug Report

It looks like mypy doesn't correctly handle the overloading of numpy.ndarray.__iter__. In the example below mypy infers numpy.float64 for ai while the correct type is Any.

See also: https://github.com/numpy/numpy/issues/28245

To Reproduce

import numpy as np
import numpy.typing as npt

a: npt.NDArray[np.float64] = np.ones([2, 2])

for _, ai in enumerate(a):
    reveal_type(ai)

Expected Behavior

Any

Actual Behavior

test.py:7: note: Revealed type is "numpy.float64"

Your Environment

Both pyright 1.1.392 and basedpyright 1.25.0 behave as expected.

• Mypy version used: mypy 1.14.1 (compiled: yes)
• Mypy command-line flags: none
• Mypy configuration options from mypy.ini (and other config files): none
• Python version used: 3.12.8 (main, Jan 22 2025, 21:56:05) [GCC 11.4.0]
• Numpy version used: 2.2.2

Start with the test.py reproduction and run it under mypy 1.14.1 using the versions listed in the report. Trace how mypy handles the overloaded numpy.ndarray.iter result, then confirm the fix by checking that reveal_type(ai) reports Any for the provided example.