[BUG] [GPU Logic Bug] SELECT -0.0 FROM <table> brings Error

[qwebug]

What happened:

SELECT -0.0 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({
    'c0': [0],
})
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 -0.0 FROM t0").compute()
print(result1)

print('GPU Result:')
result2 = c.sql("SELECT -0.0 FROM t0_gpu").compute()
print(result2)

Result:

CPU Result:
   Float64(-0)
0         -0.0
GPU Result:
   Float64(-0)
0          0.0          

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

[griffith-maker]

The issue has been fixed in Dask-sql version 2024.5.0, and you can try again to confirm it.
Thanks for @qwebug!