[BUG] cudf doesn't raise when join would introduce duplicate column names

[MarcoGorelli]

Describe the bug
A clear and concise description of what the bug is.

Steps/Code to reproduce bug
Follow this guide http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports to craft a minimal bug report. This helps us reproduce the issue you're having and resolve the issue more quickly.

import cudf
df = cudf.DataFrame({'a':[1,2,3,4,5],'b':[6,6,6,6,6]})
df.merge(df, on=['a'], suffixes=("", '_right')).merge(df, on=['a'], suffixes=("", '_right'))

produces

   a  b  b_right
0  1  6        6
1  2  6        6
2  3  6        6
3  4  6        6
4  5  6        6

Expected behavior
pandas does:

   a  b  b_right  b_right
0  1  6        6        6
1  2  6        6        6
2  3  6        6        6
3  4  6        6        6
4  5  6        6        6

If cuDF doesn't support duplicate column names, I'd expect it to raise

Environment overview (please complete the following information)

• Environment location: [Bare-metal, Docker, Cloud(specify cloud provider)]
• Method of cuDF install: [conda, Docker, or from source]
  • If method of install is [Docker], provide docker pull & docker run commands used

cudf 24.12.00

Environment details
Please run and paste the output of the cudf/print_env.sh script here, to gather any other relevant environment details

Additional context
another Narwhals one