Pandas BUG: numpy.datetime64 unit counts ignored

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import numpy as np
import pandas as pd
pd.Timestamp(np.datetime64('2000-01-01', '10ns')) == pd.Timestamp('2000-01-01')

Should be True, is instead False. The problem is that the unit count of 10 is ignored. Compare:

pd.Timestamp(np.datetime64('2000-01-01', '10ns')).asm8.item()
pd.Timestamp(np.datetime64('2000-01-01', '1ns')).asm8.item()                                        

The bug occurs in two places, both in _libs/tslibs/conversion.pyx. Both get_datetime64_nanos and ensure_datetime64ns forget to check the count. I don't know a Cython API to get the count, though it is accessible from numpy.datetime_data.

Comment From: jbrockmendel

These closed by #61882