reshape + .arr.to_struct() capacity overflow PanicException

[cmdlineluser]

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.DataFrame({"foo": [[[1, 2], [3, 4]]]})
df.select(pl.col.foo.list.explode().reshape((2, -1)).arr.to_struct())

# thread '<unnamed>' panicked at alloc/src/raw_vec.rs:24:5:
# capacity overflow
# PanicException: capacity overflow

Log output

No response

Issue description

It works if we introduce a new select context.

(df.select(pl.col.foo.list.explode().reshape((2, -1)))  
   .select(pl.all().arr.to_struct())
)

# shape: (2, 1)
# ┌───────────┐
# │ foo       │
# │ ---       │
# │ struct[2] │
# ╞═══════════╡
# │ {1,2}     │
# │ {3,4}     │
# └───────────┘

Expected behavior

No panic.

Installed versions

--------Version info---------
Polars:               1.8.1
Index type:           UInt32
Platform:             macOS-13.6.1-arm64-arm-64bit
Python:               3.12.2 (main, Feb  6 2024, 20:19:44) [Clang 15.0.0 (clang-1500.1.0.2.5)]

----Optional dependencies----
adbc_driver_manager:  <not installed>
cloudpickle:          <not installed>
connectorx:           <not installed>
deltalake:            <not installed>
fastexcel:            <not installed>
fsspec:               <not installed>
gevent:               <not installed>
great_tables:         <not installed>
hvplot:               <not installed>
matplotlib:           <not installed>
nest_asyncio:         <not installed>
numpy:                1.26.4
openpyxl:             <not installed>
pandas:               2.2.1
pyarrow:              15.0.2
pydantic:             <not installed>
pyiceberg:            <not installed>
sqlalchemy:           <not installed>
torch:                <not installed>
xlsx2csv:             <not installed>
xlsxwriter:           <not installed>