read_csv ignores skip_rows_after_header when use_pyarrow=True

[wikiped]

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
from pathlib import Path

file = Path('./test.csv')

with file.open('w') as f:
  f.write(
"""foo,bar
1,2
3,4
5,6
"""
  )

print('use_pyarrow=True')
print(pl.read_csv("test.csv", skip_rows_after_header=1, use_pyarrow=True))

print('use_pyarrow=False')
print(pl.read_csv("test.csv", skip_rows_after_header=1, use_pyarrow=False))

file.unlink()

Log output

No response

Issue description

Commands above output:

use_pyarrow=True
shape: (3, 2)
┌─────┬─────┐
│ foo ┆ bar │
│ --- ┆ --- │
│ i64 ┆ i64 │
╞═════╪═════╡
│ 1   ┆ 2   │
│ 3   ┆ 4   │
│ 5   ┆ 6   │
└─────┴─────┘

use_pyarrow=False
shape: (2, 2)
┌─────┬─────┐
│ foo ┆ bar │
│ --- ┆ --- │
│ i64 ┆ i64 │
╞═════╪═════╡
│ 3   ┆ 4   │
│ 5   ┆ 6   │
└─────┴─────┘

Expected behavior

Regardless of what use_pyarrow is set to outputs should match

Installed versions

--------Version info---------
Polars:               0.20.18
Index type:           UInt32
Platform:             Windows-10-10.0.19045-SP0
Python:               3.12.2 (tags/v3.12.2:6abddd9, Feb  6 2024, 21:26:36) [MSC v.1937 64 bit (AMD64)]

----Optional dependencies----
adbc_driver_manager:  <not installed>
cloudpickle:          3.0.0
connectorx:           <not installed>
deltalake:            <not installed>
fastexcel:            0.10.3
fsspec:               2024.3.1
gevent:               <not installed>
hvplot:               <not installed>
matplotlib:           <not installed>
nest_asyncio:         1.6.0
numpy:                1.26.4
openpyxl:             3.1.2
pandas:               <not installed>
pyarrow:              15.0.2
pydantic:             2.6.4
pyiceberg:            <not installed>
pyxlsb:               <not installed>
sqlalchemy:           <not installed>
xlsx2csv:             <not installed>
xlsxwriter:           <not installed>

[cmdlineluser]

It looks like pyarrow calls this skip_rows_after_names which would need to be added:

polars/py-polars/polars/io/csv/functions.py

Lines 269 to 273 in 31df06d

	pa.csv.ReadOptions(
	skip_rows=skip_rows,
	autogenerate_column_names=not has_header,
	encoding=encoding,
	),