Crash with parallel cumulative_eval

[jtanx]

Checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of Polars.

Reproducible example

import polars as pl

df = pl.LazyFrame({"A": range(1, 10000)}, strict=False)
df.select(pl.col("A").cumulative_eval(pl.element().tail(1), parallel=True)).collect()

Log output

Segmentation fault (core dumped)

Issue description

A bit of a contrived example here, but seems to crash on what's possibly a stack overflow when parallel=True. Otherwise seems to run if parallel=False or if the input dataframe was smaller

Expected behavior

Does not crash/calculates something

Installed versions

--------Version info---------
Polars:              1.8.1
Index type:          UInt32
Platform:            Linux-6.8.0-45-generic-x86_64-with-glibc2.39
Python:              3.12.3 (main, Sep 11 2024, 14:17:37) [GCC 13.2.0]

----Optional dependencies----
adbc_driver_manager  <not installed>
altair               <not installed>
cloudpickle          <not installed>
connectorx           <not installed>
deltalake            <not installed>
fastexcel            <not installed>
fsspec               <not installed>
gevent               <not installed>
great_tables         <not installed>
matplotlib           3.9.2
nest_asyncio         1.6.0
numpy                2.1.1
openpyxl             <not installed>
pandas               <not installed>
pyarrow              <not installed>
pydantic             <not installed>
pyiceberg            <not installed>
sqlalchemy           <not installed>
torch                <not installed>
xlsx2csv             <not installed>
xlsxwriter           <not installed>

[coastalwhite]

This does not seem to be a regression of a recent version. I can reproduce on 1.3.0 as well.

[ritchie46]

This is a stackoverflow in rayon.