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⚠️ Nightly upstream-dev CI failed ⚠️ #7158

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Python 3.10 Test Summary
xarray/tests/test_formatting.py::test__mapping_repr_recursive: ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part.
xarray/tests/test_variable.py::TestVariable::test_index_0d_timedelta64: AssertionError: assert dtype('<m8[us]') == 'timedelta64[ns]'
 +  where dtype('<m8[us]') = numpy.timedelta64(3600000000,'us').dtype
xarray/tests/test_variable.py::TestVariable::test_timedelta64_conversion: AssertionError: assert dtype('<m8[s]') == dtype('<m8[ns]')
 +  where dtype('<m8[s]') = <xarray.Variable (t: 3)>\narray([     0,  86400, 172800], dtype='timedelta64[s]').dtype
 +  and   dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]')
 +    where <class 'numpy.dtype'> = np.dtype
xarray/tests/test_variable.py::TestVariable::test_timedelta64_conversion_scalar: AssertionError: assert dtype('<m8[s]') == dtype('<m8[ns]')
 +  where dtype('<m8[s]') = <xarray.Variable ()>\narray(86400, dtype='timedelta64[s]').dtype
 +  and   dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]')
 +    where <class 'numpy.dtype'> = np.dtype
xarray/tests/test_variable.py::TestVariable::test_0d_timedelta: AssertionError: assert dtype('<m8[s]') == dtype('<m8[ns]')
 +  where dtype('<m8[s]') = <xarray.Variable ()>\narray(1, dtype='timedelta64[s]').dtype
 +  and   dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]')
 +    where <class 'numpy.dtype'> = np.dtype
xarray/tests/test_variable.py::TestVariableWithDask::test_index_0d_timedelta64: AssertionError: assert dtype('<m8[us]') == 'timedelta64[ns]'
 +  where dtype('<m8[us]') = numpy.timedelta64(3600000000,'us').dtype
xarray/tests/test_variable.py::TestVariableWithDask::test_timedelta64_conversion: AssertionError: assert dtype('<m8[s]') == dtype('<m8[ns]')
 +  where dtype('<m8[s]') = <xarray.Variable (t: 3)>\ndask.array<array, shape=(3,), dtype=timedelta64[s], chunksize=(3,), chunktype=numpy.ndarray>.dtype
 +  and   dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]')
 +    where <class 'numpy.dtype'> = np.dtype
xarray/tests/test_variable.py::TestIndexVariable::test_index_0d_timedelta64: AssertionError: 
Items are not equal:
 ACTUAL: numpy.timedelta64(3600000000,'ns')
 DESIRED: numpy.timedelta64(3600000000,'us')
xarray/tests/test_variable.py::TestIndexVariable::test_timedelta64_conversion: AssertionError: assert dtype('<m8[s]') == dtype('<m8[ns]')
 +  where dtype('<m8[s]') = <xarray.IndexVariable 't' (t: 3)>\narray([     0,  86400, 172800], dtype='timedelta64[s]').dtype
 +  and   dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]')
 +    where <class 'numpy.dtype'> = np.dtype

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