ComputeError: parquet: File out of specification: Invalid thrift: protocol error

[eromoe]

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
df0 = pl.scan_parquet(r'C:\Datasets\cn_data\ods_date\tushare\fina_indicator_vip\1d\year=2009\*\*.parquet', hive_partitioning=False)
df0 = df0.collect().to_pandas()

Log output

ComputeError                              Traceback (most recent call last)
Cell In[201], line 3
      1 import polars as pl
      2 df0 = pl.scan_parquet(r'C:\Datasets\cn_data\ods_date\tushare\fina_indicator_vip\1d\year=2009\*\*.parquet', hive_partitioning=False)
----> 3 df0 = df0.collect().to_pandas()

File c:\envs\quant\lib\site-packages\polars\lazyframe\frame.py:1967, in LazyFrame.collect(self, type_coercion, predicate_pushdown, projection_pushdown, simplify_expression, slice_pushdown, comm_subplan_elim, comm_subexpr_elim, cluster_with_columns, no_optimization, streaming, background, _eager, **_kwargs)
   1964 # Only for testing purposes atm.
   1965 callback = _kwargs.get("post_opt_callback")
-> 1967 return wrap_df(ldf.collect(callback))

ComputeError: parquet: File out of specification: Invalid thrift: protocol error

Issue description

ComputeError: parquet: File out of specification: Invalid thrift: protocol error.
My data is from same data api , just find this problem on 2009 year partition .
Testing files :
year=2009.zip

Expected behavior

no error

Installed versions

--------Version info---------
Polars:               0.20.31
Index type:           UInt32
Platform:             Windows-10-10.0.19041-SP0
Python:               3.10.14 | packaged by conda-forge | (main, Mar 20 2024, 12:40:08) [MSC v.1938 64 bit (AMD64)]

----Optional dependencies----
adbc_driver_manager:  <not installed>
cloudpickle:          3.0.0
connectorx:           <not installed>
deltalake:            <not installed>
fastexcel:            <not installed>
fsspec:               2024.3.1
gevent:               <not installed>
hvplot:               <not installed>
matplotlib:           3.8.4
nest_asyncio:         1.6.0
numpy:                1.24.4
openpyxl:             3.1.2
pandas:               1.5.3
pyarrow:              15.0.2
pydantic:             2.6.4
pyiceberg:            <not installed>
pyxlsb:               <not installed>
sqlalchemy:           2.0.29
torch:                <not installed>
xlsx2csv:             <not installed>
xlsxwriter:           <not installed>```

</details>

[ritchie46]

Sounds like an invalid file?

[eromoe]

After some investgeing, I found it may by pandas.Stange that, every time can write the file, but can't read by both pandas/ polars.