[BUG] rlike with empty pattern failed with 'NoSuchElementException' when enabling regex rewrite

[thirtiseven]

Describe the bug
rlike with empty pattern will fail with 'NoSuchElementException' when enabling regex rewrite.

Steps/Code to reproduce bug
integration test:

def test_rlike_rewrite_optimization_empty_pattern():
    gen = mk_str_gen('[ab\n]{3,6}')
    assert_gpu_and_cpu_are_equal_collect(
            lambda spark: unary_op_df(spark, gen).selectExpr(
                'a',
                'rlike(a, "")'),
        conf=_regexp_conf)

failed:

__________________________________________ test_rlike_rewrite_optimization_empty_pattern __________________________________________
[gw0] linux -- Python 3.8.3 /home/haoyangl/.pyenv/versions/3.8.3/bin/python

    def test_rlike_rewrite_optimization_empty_pattern():
        gen = mk_str_gen('[ab\n]{3,6}')
>       assert_gpu_and_cpu_are_equal_collect(
                lambda spark: unary_op_df(spark, gen).selectExpr(
                    'a',
                    'rlike(a, "")'),
            conf=_regexp_conf)

../../src/main/python/regexp_test.py:449:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
../../src/main/python/asserts.py:595: 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:503: in _assert_gpu_and_cpu_are_equal
    from_gpu = run_on_gpu()
../../src/main/python/asserts.py:496: in run_on_gpu
    from_gpu = with_gpu_session(bring_back, conf=conf)
../../src/main/python/spark_session.py:164: in with_gpu_session
    return with_spark_session(func, conf=copy)
../../../../.pyenv/versions/3.8.3/lib/python3.8/contextlib.py:75: in inner
    return func(*args, **kwds)
../../src/main/python/spark_session.py:131: in with_spark_session
    ret = func(_spark)
../../src/main/python/asserts.py:205: in <lambda>
    bring_back = lambda spark: limit_func(spark).collect()
../../../../spark-3.4.1-bin-hadoop3/python/pyspark/sql/dataframe.py:1216: in collect
    sock_info = self._jdf.collectToPython()
/home/haoyangl/spark-3.4.1-bin-hadoop3/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py:1322: in __call__
    return_value = get_return_value(
../../../../spark-3.4.1-bin-hadoop3/python/pyspark/errors/exceptions/captured.py:169: in deco
    return f(*a, **kw)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

answer = 'xro447', gateway_client = <py4j.clientserver.JavaClient object at 0x7fa87eb26040>, target_id = 'o446'
name = 'collectToPython'

    def get_return_value(answer, gateway_client, target_id=None, name=None):
        """Converts an answer received from the Java gateway into a Python object.

        For example, string representation of integers are converted to Python
        integer, string representation of objects are converted to JavaObject
        instances, etc.

        :param answer: the string returned by the Java gateway
        :param gateway_client: the gateway client used to communicate with the Java
            Gateway. Only necessary if the answer is a reference (e.g., object,
            list, map)
        :param target_id: the name of the object from which the answer comes from
            (e.g., *object1* in `object1.hello()`). Optional.
        :param name: the name of the member from which the answer comes from
            (e.g., *hello* in `object1.hello()`). Optional.
        """
        if is_error(answer)[0]:
            if len(answer) > 1:
                type = answer[1]
                value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
                if answer[1] == REFERENCE_TYPE:
>                   raise Py4JJavaError(
                        "An error occurred while calling {0}{1}{2}.\n".
                        format(target_id, ".", name), value)
E                   py4j.protocol.Py4JJavaError: An error occurred while calling o446.collectToPython.
E                   : java.util.NoSuchElementException
E                   	at scala.collection.LinearSeqOptimized.last(LinearSeqOptimized.scala:150)
E                   	at scala.collection.LinearSeqOptimized.last$(LinearSeqOptimized.scala:149)
E                   	at scala.collection.immutable.List.last(List.scala:91)
E                   	at com.nvidia.spark.rapids.RegexRewrite$.getPrefixRangePattern(RegexParser.scala:2048)
E                   	at com.nvidia.spark.rapids.RegexRewrite$.matchSimplePattern(RegexParser.scala:2135)
E                   	at org.apache.spark.sql.rapids.GpuRLikeMeta.tagExprForGpu(stringFunctions.scala:1076)
E                   	at com.nvidia.spark.rapids.BaseExprMeta.tagSelfForGpu(RapidsMeta.scala:1220)
E                   	at com.nvidia.spark.rapids.RapidsMeta.tagForGpu(RapidsMeta.scala:318)
E                   	at com.nvidia.spark.rapids.RapidsMeta.$anonfun$tagForGpu$3(RapidsMeta.scala:294)
E                   	at com.nvidia.spark.rapids.RapidsMeta.$anonfun$tagForGpu$3$adapted(RapidsMeta.scala:294)
E                   	at scala.collection.Iterator.foreach(Iterator.scala:943)
E                   	at scala.collection.Iterator.foreach$(Iterator.scala:943)
E                   	at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
E                   	at scala.collection.IterableLike.foreach(IterableLike.scala:74)
E                   	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
E                   	at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
E                   	at com.nvidia.spark.rapids.RapidsMeta.tagForGpu(RapidsMeta.scala:294)
E                   	at com.nvidia.spark.rapids.RapidsMeta.$anonfun$tagForGpu$3(RapidsMeta.scala:294)
E                   	at com.nvidia.spark.rapids.RapidsMeta.$anonfun$tagForGpu$3$adapted(RapidsMeta.scala:294)
E                   	at scala.collection.immutable.Stream.foreach(Stream.scala:533)
E                   	at com.nvidia.spark.rapids.RapidsMeta.tagForGpu(RapidsMeta.scala:294)
E                   	at com.nvidia.spark.rapids.GpuOverrides$.wrapAndTagPlan(GpuOverrides.scala:4366)
E                   	at com.nvidia.spark.rapids.GpuOverrides.applyOverrides(GpuOverrides.scala:4692)
E                   	at com.nvidia.spark.rapids.GpuOverrides.$anonfun$applyWithContext$3(GpuOverrides.scala:4577)
E                   	at com.nvidia.spark.rapids.GpuOverrides$.logDuration(GpuOverrides.scala:454)
E                   	at com.nvidia.spark.rapids.GpuOverrides.$anonfun$applyWithContext$1(GpuOverrides.scala:4574)
E                   	at com.nvidia.spark.rapids.GpuOverrideUtil$.$anonfun$tryOverride$1(GpuOverrides.scala:4540)
E                   	at com.nvidia.spark.rapids.GpuOverrides.applyWithContext(GpuOverrides.scala:4594)
E                   	at com.nvidia.spark.rapids.GpuOverrides.apply(GpuOverrides.scala:4567)
E                   	at com.nvidia.spark.rapids.GpuOverrides.apply(GpuOverrides.scala:4563)
E                   	at org.apache.spark.sql.execution.ApplyColumnarRulesAndInsertTransitions.$anonfun$apply$1(Columnar.scala:564)
E                   	at org.apache.spark.sql.execution.ApplyColumnarRulesAndInsertTransitions.$anonfun$apply$1$adapted(Columnar.scala:564)
E                   	at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
E                   	at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
E                   	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
E                   	at org.apache.spark.sql.execution.ApplyColumnarRulesAndInsertTransitions.apply(Columnar.scala:564)
E                   	at org.apache.spark.sql.execution.ApplyColumnarRulesAndInsertTransitions.apply(Columnar.scala:516)
E                   	at org.apache.spark.sql.execution.QueryExecution$.$anonfun$prepareForExecution$1(QueryExecution.scala:457)
E                   	at scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
E                   	at scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
E                   	at scala.collection.immutable.List.foldLeft(List.scala:91)
E                   	at org.apache.spark.sql.execution.QueryExecution$.prepareForExecution(QueryExecution.scala:456)
E                   	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executedPlan$1(QueryExecution.scala:175)
E                   	at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
E                   	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:202)
E                   	at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:526)
E                   	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:202)
E                   	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:827)
E                   	at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:201)
E                   	at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:175)
E                   	at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:168)
E                   	at org.apache.spark.sql.execution.QueryExecution.simpleString(QueryExecution.scala:221)
E                   	at org.apache.spark.sql.execution.QueryExecution.org$apache$spark$sql$execution$QueryExecution$$explainString(QueryExecution.scala:266)
E                   	at org.apache.spark.sql.execution.QueryExecution.explainString(QueryExecution.scala:235)
E                   	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:112)
E                   	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:195)
E                   	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:103)
E                   	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:827)
E                   	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
E                   	at org.apache.spark.sql.Dataset.withAction(Dataset.scala:4165)
E                   	at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:3994)
E                   	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
E                   	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
E                   	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
E                   	at java.lang.reflect.Method.invoke(Method.java:498)
E                   	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
E                   	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
E                   	at py4j.Gateway.invoke(Gateway.java:282)
E                   	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
E                   	at py4j.commands.CallCommand.execute(CallCommand.java:79)
E                   	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
E                   	at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
E                   	at java.lang.Thread.run(Thread.java:750)

/home/haoyangl/spark-3.4.1-bin-hadoop3/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py:326: Py4JJavaError

Expected behavior
Match cpu's behavior