def METHOD_NAME(t, df, column):
    column_type = t[column].type()
    expr = t.plain_int64.cast(column_type)
    result = expr.compile()
    df_computed = df.compute()
    expected = dd.from_pandas(
        pd.Series(
            pd.to_datetime(df_computed.plain_int64.values, unit="s").values,
            index=df_computed.index,
            name="plain_int64",
        ).dt.tz_localize(column_type.timezone),
        npartitions=1,
    )
    tm.assert_series_equal(
        result.compute().reset_index(drop=True),
        expected.compute().reset_index(drop=True),
    )