Parquet reader can't handle float16 with BYTE_STREAM_SPLIT

[mwlon]

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
import pyarrow as pa
from pyarrow import parquet as pq

t = pa.Table.from_pydict({'a': pa.array([1.0]).cast(pa.float16())})
pq.write_table(t, 'foo.parquet', use_dictionary=False, column_encoding='BYTE_STREAM_SPLIT')
pl.read_parquet('foo.parquet')

Log output

parquet scan with parallel = None
Traceback (most recent call last):
  File "/usr/local/home/mloncaric/temp.py", line 7, in <module>
    pl.read_parquet('foo.parquet')
  File "/dev/shm/uid-22467-gid-33123/dc9eeca1-seed-nspid4026531836-ns-4026531841-js-pip/polars/_utils/deprecation.py", line 114, in wrapper
    return function(*args, **kwargs)
  File "/dev/shm/uid-22467-gid-33123/dc9eeca1-seed-nspid4026531836-ns-4026531841-js-pip/polars/_utils/deprecation.py", line 114, in wrapper
    return function(*args, **kwargs)
  File "/dev/shm/uid-22467-gid-33123/dc9eeca1-seed-nspid4026531836-ns-4026531841-js-pip/polars/io/parquet/functions.py", line 252, in read_parquet
    return lf.collect()
  File "/dev/shm/uid-22467-gid-33123/dc9eeca1-seed-nspid4026531836-ns-4026531841-js-pip/polars/_utils/deprecation.py", line 88, in wrapper
    return function(*args, **kwargs)
  File "/dev/shm/uid-22467-gid-33123/dc9eeca1-seed-nspid4026531836-ns-4026531841-js-pip/polars/lazyframe/frame.py", line 2188, in collect
    return wrap_df(ldf.collect(engine, callback))
polars.exceptions.ComputeError: parquet: Not yet supported: Decoding FixedLenByteArray(2) "ByteStreamSplit"-encoded optional parquet pages not yet supported

Issue description

Polars native reader doesn't support float16+parquet yet. I can get around this with use_pyarrow=True, but it's discouraging to people I'm trying to win over from Pandas.

Expected behavior

No error

Installed versions

>>> pl.show_versions()
--------Version info---------
Polars:              1.25.0
Index type:          UInt32
Platform:            Linux-6.1.128-1.el8.jane1.x86_64-x86_64-with-glibc2.28
Python:              3.10.13 (main, Jun  2 2024, 23:07:15) [GCC 13.1.1 20230614 (Red Hat 13.1.1-4)]
LTS CPU:             False

----Optional dependencies----
Azure CLI            <not installed>
adbc_driver_manager  <not installed>
altair               5.5.0
azure.identity       <not installed>
boto3                1.35.30
cloudpickle          3.0.0
connectorx           <not installed>
deltalake            <not installed>
fastexcel            <not installed>
fsspec               2024.10.0
gevent               <not installed>
google.auth          2.35.0
great_tables         0.10.0
matplotlib           3.9.2
numpy                1.26.3
openpyxl             3.1.5
pandas               1.5.3
polars_cloud         <not installed>
pyarrow              16.1.0.1+jane.el8
pydantic             2.9.2
pyiceberg            <not installed>
sqlalchemy           1.4.54
torch                2.5.0.3+jane
xlsx2csv             <not installed>
xlsxwriter           3.2.0