BUG: Series([int], dtype="timedelta64[non-nano]") returns 0 result

[mroeschke]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

In [2]: pd.Series([3600], dtype="timedelta64[s]")
Out[2]: 
0   0 days
dtype: timedelta64[s]

In [3]: pd.Series([3600], dtype="timedelta64[s]")._values._ndarray
Out[3]: array([0], dtype='timedelta64[s]')

In [4]: pd.Series([3600], dtype="timedelta64[ns]")._values._ndarray
Out[4]: array([3600], dtype='timedelta64[ns]')

Issue Description

I would expect Out[3] to return array([3600], dtype='timedelta64[s]')

Expected Behavior

array([3600], dtype='timedelta64[s]')

Installed Versions

Replace this line with the output of pd.show_versions()

[reddyrg1]

take