[BUG] test_cast_string_ts_valid_format failed at seed = 1701362564

[winningsix]

Describe the bug
Spark didn't accept year 0 which is generated at seed = 1701362564 in our integration test.

=========================================================================================== FAILURES ===========================================================================================
__________________________________________________________________________ test_cast_string_ts_valid_format[String0] ___________________________________________________________________________
[gw0] linux -- Python 3.10.12 /usr/bin/python

data_gen = String

    @pytest.mark.parametrize('data_gen', [StringGen('[0-9]{1,4}-[0-9]{1,2}-[0-9]{1,2}'),
                                          StringGen('[0-9]{1,4}-[0-3][0-9]-[0-5][0-9][ |T][0-3][0-9]:[0-6][0-9]:[0-6][0-9]'),
                                          StringGen('[0-9]{1,4}-[0-3][0-9]-[0-5][0-9][ |T][0-3][0-9]:[0-6][0-9]:[0-6][0-9]\.[0-9]{0,6}Z?')],
                            ids=idfn)
    @allow_non_gpu(*non_utc_allow)
    def test_cast_string_ts_valid_format(data_gen):
        # In Spark 3.2.0+ the valid format changed, and we cannot support all of the format.
        # This provides values that are valid in all of those formats.
>       assert_gpu_and_cpu_are_equal_collect(
                lambda spark : unary_op_df(spark, data_gen).select(f.col('a').cast(TimestampType())),
                conf = {'spark.rapids.sql.hasExtendedYearValues': 'false',
                    'spark.rapids.sql.castStringToTimestamp.enabled': 'true'})

../../src/main/python/cast_test.py:157: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../../src/main/python/asserts.py:581: in assert_gpu_and_cpu_are_equal_collect
    _assert_gpu_and_cpu_are_equal(func, 'COLLECT', conf=conf, is_cpu_first=is_cpu_first, result_canonicalize_func_before_compare=result_canonicalize_func_before_compare)
../../src/main/python/asserts.py:486: in _assert_gpu_and_cpu_are_equal
    from_cpu = run_on_cpu()
../../src/main/python/asserts.py:471: in run_on_cpu
    from_cpu = with_cpu_session(bring_back, conf=conf)
../../src/main/python/spark_session.py:106: in with_cpu_session
    return with_spark_session(func, conf=copy)
../../src/main/python/spark_session.py:90: in with_spark_session
    ret = func(_spark)
../../src/main/python/asserts.py:205: in <lambda>
    bring_back = lambda spark: limit_func(spark).collect()
/opt/spark-3.4.1-bin-hadoop3/python/pyspark/sql/dataframe.py:1217: in collect
    return list(_load_from_socket(sock_info, BatchedSerializer(CPickleSerializer())))
/opt/spark-3.4.1-bin-hadoop3/python/pyspark/serializers.py:152: in load_stream
    yield self._read_with_length(stream)
/opt/spark-3.4.1-bin-hadoop3/python/pyspark/serializers.py:174: in _read_with_length
    return self.loads(obj)
/opt/spark-3.4.1-bin-hadoop3/python/pyspark/serializers.py:472: in loads
    return cloudpickle.loads(obj, encoding=encoding)
/opt/spark-3.4.1-bin-hadoop3/python/pyspark/sql/types.py:2008: in <lambda>
    return lambda *a: dataType.fromInternal(a)
/opt/spark-3.4.1-bin-hadoop3/python/pyspark/sql/types.py:1019: in fromInternal
    values = [
/opt/spark-3.4.1-bin-hadoop3/python/pyspark/sql/types.py:1020: in <listcomp>
    f.fromInternal(v) if c else v
/opt/spark-3.4.1-bin-hadoop3/python/pyspark/sql/types.py:668: in fromInternal
    return self.dataType.fromInternal(obj)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = TimestampType(), ts = -62158435543000000

    def fromInternal(self, ts: int) -> datetime.datetime:
        if ts is not None:
            # using int to avoid precision loss in float
>           return datetime.datetime.fromtimestamp(ts // 1000000).replace(microsecond=ts % 1000000)
E           ValueError: year 0 is out of range

/opt/spark-3.4.1-bin-hadoop3/python/pyspark/sql/types.py:280: ValueError