[FEA] Support repetition of group containing in regular expression

[viadea]

I wish we support repetition of group containing in regular expression.
Eg:

from pyspark.sql.types import StructType,StructField, StringType, IntegerType
from pyspark.sql.functions import expr

data2 = [("11p22p33p44p55p.abc",""),
    ("xyz[123","Rose")
  ]

schema = StructType([ \
    StructField("firstname",StringType(),True), \
    StructField("middlename",StringType(),True) \
  ])
 
df = spark.createDataFrame(data=data2,schema=schema)
df.printSchema()
df.show(truncate=False)

individual_match_regex = r"((([0-9]{2}p){5}))\\.abc"

df.withColumn('newcol', expr(f"""   regexp_extract(firstname, "{individual_match_regex}", 1)    """)).show()

Not-supported-messages:

      !Expression <RegExpExtract> regexp_extract(firstname#827, ((([0-9]{2}p){5}))\.abc, 1) cannot run on GPU because cuDF does not support repetition of group containing: [0-9]{2} near index 3; regex group count is 0, but the specified group index is 1

[viadea]

I found one workaround though

individual_match_regex = r"((([0-9]{2}p)([0-9]{2}p)([0-9]{2}p)([0-9]{2}p)([0-9]{2}p)))\\.abc"