[BUG][GPU Logic Bug] "SELECT ( (CASE (CASE (<number>) WHEN <column> THEN (<number>) END ) WHEN <number> THEN (<number>) ELSE <column> END )) FROM <table>" brings Error

[qwebug]

What happened:

"SELECT ( (CASE (CASE (<number>) WHEN <column> THEN (<number>) END ) WHEN <number> THEN (<number>) ELSE <column> END )) FROM <table>" brings different results, when using CPU and GPU.

What you expected to happen:

It is the same result, when using CPU and GPU.

Minimal Complete Verifiable Example:

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

c = Context()

df0 = pd.DataFrame({
    'c1': [0.6926717947094722],
    'c2': [True],
})
t0 = dd.from_pandas(df0, npartitions=1)

c.create_table('t0', t0, gpu=False)
c.create_table('t0_gpu', t0, gpu=True)

print('CPU Result:')
result1= c.sql("SELECT ( (CASE (CASE (1) WHEN t0.c1 THEN (1.0) END ) WHEN 0.1 THEN (47) ELSE t0.c1 END )) FROM t0").compute()
print(result1)

print('GPU Result:')
result2= c.sql("SELECT ( (CASE (CASE (1) WHEN t0_gpu.c1 THEN (1.0) END ) WHEN 0.1 THEN (47) ELSE t0_gpu.c1 END )) FROM t0_gpu").compute()
print(result2)

Result:

INFO:numba.cuda.cudadrv.driver:init
CPU Result:
   CASE CASE Int64(1) WHEN t0.c1 THEN Float64(1) END WHEN Float64(0.1) THEN Int64(47) ELSE t0.c1 END
0                                           0.692672                                                
GPU Result:
   CASE CASE Int64(1) WHEN t0_gpu.c1 THEN Float64(1) END WHEN Float64(0.1) THEN Int64(47) ELSE t0_gpu.c1 END
0                                               47.0                                                        
INFO:numba.cuda.cudadrv.driver:add pending dealloc: module_unload ? bytes

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
• JDBC Version: presto-jdbc 0.283