[BUG] [GPU Error Bug] "SELECT (((<column> LIKE '\뽞^' ESCAPE 'M')) IS NULL) FROM <tables>" brings Error

[qwebug]

What happened:

"SELECT (((<column> LIKE '\뽞^' ESCAPE 'M')) IS NULL) FROM <tables>" brings error, when using GPU.

However it is able to output result, when using CPU.

What you expected to happen:

It will not bring error, when using GPU.

Minimal Complete Verifiable Example:

import pandas as pd
import dask.dataframe as dd
from dask_sql import Context

c = Context()

df0 = pd.DataFrame({
    'c0': ["TIMESTAMP '1970-08-16 10:28:23'"],
    'c1': ["DATE '2002-01-29'"],
    'c2': ["DATE '2021-10-05'"],
    'c3': [True],
})
t0 = dd.from_pandas(df0, npartitions=1)
c.create_table('t0', t0, gpu=False)
c.create_table('t0_gpu', t0, gpu=True)

df1 = pd.DataFrame({
    'c0': ['b'],
    'c1': ["TIMESTAMP '1972-02-28 05:27:02'"],
    'c2': [836.0000],
    'c3': ['CAST((-106) AS TINYINT)'],
})
t1 = dd.from_pandas(df1, npartitions=1)
c.create_table('t1', t1, gpu=False)
c.create_table('t1_gpu', t1, gpu=True)

print('CPU Result:')
result1= c.sql("SELECT (((t1.c1 LIKE '\뽞^' ESCAPE 'M')) IS NULL) FROM t0, t1").compute()
print(result1)

print('GPU Result:')
result2= c.sql("SELECT (((t1_gpu.c1 LIKE '\뽞^' ESCAPE 'M')) IS NULL) FROM t0_gpu, t1_gpu").compute()
print(result2)

Result:

INFO:numba.cuda.cudadrv.driver:init
CPU Result:
   t1.c1 LIKE Utf8("\뽞^") CHAR 'M' IS NULL
0                                    False
GPU Result:
Traceback (most recent call last):
  File "/tmp/bug18/bug18.py", line 32, in <module>
    result2= c.sql("SELECT (((t1_gpu.c1 LIKE '\뽞^' ESCAPE 'M')) IS NULL) FROM t0_gpu, t1_gpu").compute()
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/context.py", line 513, in sql
    return self._compute_table_from_rel(rel, return_futures)
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/context.py", line 839, in _compute_table_from_rel
    dc = RelConverter.convert(rel, context=self)
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/physical/rel/convert.py", line 61, in convert
    df = plugin_instance.convert(rel, context=context)
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/physical/rel/logical/project.py", line 57, in convert
    new_columns[random_name] = RexConverter.convert(
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/physical/rex/convert.py", line 74, in convert
    df = plugin_instance.convert(rel, rex, dc, context=context)
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/physical/rex/core/call.py", line 1101, in convert
    operands = [
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/physical/rex/core/call.py", line 1102, in <listcomp>
    RexConverter.convert(rel, o, dc, context=context)
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/physical/rex/convert.py", line 74, in convert
    df = plugin_instance.convert(rel, rex, dc, context=context)
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/physical/rex/core/call.py", line 1129, in convert
    return operation(*operands, **kwargs)
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/physical/rex/core/call.py", line 77, in __call__
    return self.f(*operands, **kwargs)
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask_sql/physical/rex/core/call.py", line 443, in regex
    return test.str.match(transformed_regex, flags=flags).astype("boolean")
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask/dataframe/accessor.py", line 13, in func
    return self._function_map(attr, *args, **kwargs)
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask/dataframe/accessor.py", line 106, in _function_map
    meta = self._delegate_method(
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/dask/dataframe/accessor.py", line 92, in _delegate_method
    out = getattr(getattr(obj, accessor, obj), attr)(*args, **kwargs)
  File "/opt/conda/envs/rapids/lib/python3.10/site-packages/cudf/core/column/string.py", line 4291, in match
    libstrings.match_re(self._column, pat, flags)
  File "/opt/conda/envs/rapids/lib/python3.10/contextlib.py", line 79, in inner
    return func(*args, **kwds)
  File "contains.pyx", line 87, in cudf._lib.strings.contains.match_re
RuntimeError: CUDF failure at:/rapids/cudf/cpp/src/strings/regex/regcomp.cpp:521: invalid regex pattern: bad escape character at position 2

Anything else we need to know?:

Environment:

• dask-sql version: 2023.6.0
• Python version: Python 3.10.11
• Operating System: Ubuntu22.04
• Install method (conda, pip, source): Docker deploy by https://hub.docker.com/layers/rapidsai/rapidsai-dev/23.06-cuda11.8-devel-ubuntu22.04-py3.10/images/sha256-cfbb61fdf7227b090a435a2e758114f3f1c31872ed8dbd96e5e564bb5fd184a7?context=explore