BUG: Fix MultiIndex key type check for datetime/date (Issue #55969)

[Roxicaro]

• closes BUG: Strange behavior when accessing datetime.date index with np.datetime64 #55969
• Tests added and passed if fixing a bug or adding a new feature
• All code checks passed.
• Added type annotations to new arguments/methods/functions.
• Added an entry in the latest doc/source/whatsnew/v3.0.0.rst file if fixing a bug or adding a new feature.

This PR fixes an issue in MultiIndex where keys of type np.datetime64 would cause a silent error that could result in partial/incorrect lookups when compared to levels containing datetime.datetime.

import pandas as pd
import numpy as np
import datetime as dt

dates = [dt.datetime(2023, 11, 1).date(), dt.datetime(2023, 11, 1).date(), dt.datetime(2023, 11, 2).date()]
t1 = ["A", "B", "C"]
t2 = ["C", "D", "E"]
vals = [10, 20, 30]

df = pd.DataFrame(data=np.array([dates, t1, t2, vals]).T, columns=["dates", "t1", "t2", "vals"])
df.set_index(["dates", "t1", "t2"], inplace=True)

date_np = np.datetime64("2023-11-01")
date_dt = dt.datetime(2023, 11, 1).date()

#BEFORE THIS FIX
print(df.loc[(date_np, "B")]) 
'''
   vals
t2     
C    10
'''

#AFTER THIS FIX
print(df.loc[(date_np, "B")]) 
'''
   vals
t2     
C    10
D    20
'''

-Added a type-check in _get_loc_level to allow compatible datetime/date types.
-Introduced a helper method _is_key_type_compatible.
-Added tests in pandas/tests/indexes/multi/test_datetime_indexing.py to cover:
--datetime.date vs datetime.datetime
--numpy.datetime64 lookups

Issue Reference

#55969