ComputeError: caught exception during execution of a Python source

### What happens?

First of all nice, feature with the lazy DataFrame. I have a problem with this new feature in duckdb v1.4.1 also tested with 1.4.0 and polars version 1.34.0, but also tested with versions earlier than this.
Mostly the first loading and filtering ... with pl(lazy = True) works but e.g. joins with other tables are not working and results in this Error:

ComputeError: caught exception during execution of a Python source, exception: InvalidInputException: Invalid Input Error: Attempting to execute an unsuccessful or closed pending query result.

Full Trace:

```console
File ~/.venv/lib/python3.9/site-packages/polars/_utils/deprecation.py:97, in deprecate_streaming_parameter..decorate..wrapper(*args, **kwargs)
93 kwargs["engine"] = "in-memory"
95 del kwargs["streaming"]
---> [97](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a225468726f6d626f7365227d.vscode-resource.vscode-cdn.net/home/cdsw/notebooks/~/.venv/lib/python3.9/site-packages/polars/_utils/deprecation.py:97) return function(*args, **kwargs)

File ~/.venv/lib/python3.9/site-packages/polars/lazyframe/opt_flags.py:328, in forward_old_opt_flags..decorate..wrapper(*args, **kwargs)
325 optflags = cb(optflags, kwargs.pop(key)) # type: ignore[no-untyped-call,unused-ignore]
327 kwargs["optimizations"] = optflags
--> [328](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a225468726f6d626f7365227d.vscode-resource.vscode-cdn.net/home/cdsw/notebooks/~/.venv/lib/python3.9/site-packages/polars/lazyframe/opt_flags.py:328) return function(*args, **kwargs)

File ~/.venv/lib/python3.9/site-packages/polars/lazyframe/frame.py:2415, in LazyFrame.collect(self, type_coercion, predicate_pushdown, projection_pushdown, simplify_expression, slice_pushdown, comm_subplan_elim, comm_subexpr_elim, cluster_with_columns, collapse_joins, no_optimization, engine, background, optimizations, **_kwargs)
2413 # Only for testing purposes
2414 callback = _kwargs.get("post_opt_callback", callback)
-> [2415](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a225468726f6d626f7365227d.vscode-resource.vscode-cdn.net/home/cdsw/notebooks/~/.venv/lib/python3.9/site-packages/polars/lazyframe/frame.py:2415) return wrap_df(ldf.collect(engine, callback))
```

### To Reproduce

```
con = duckdb.connect(db.db_path, read_only= True)
df_lab = con.sql("SELECT * FROM data1").pl(lazy = True)
df_main = con.sql("SELECT * FROM data2").pl(lazy = True)
df_lab.join(df_main, on = "account_id").collect()
```

this would be the LazyFrame:

naive plan: (run LazyFrame.explain(optimized=True) to see the optimized plan)
INNER JOIN:
LEFT PLAN ON: [col("account_id")]
PYTHON SCAN []
PROJECT */10 COLUMNS
RIGHT PLAN ON: [col("account_id")]
PYTHON SCAN []
PROJECT */70 COLUMNS
END INNER JOIN

### OS:

linux

### DuckDB Version:

1.41.0

### DuckDB Client:

Python

### Hardware:

_No response_

### Full Name:

Maximilian Zeidler

### Affiliation:

Helios

### What is the latest build you tested with? If possible, we recommend testing with the latest nightly build.

I have tested with a stable release

### Did you include all relevant data sets for reproducing the issue?

No - I cannot share the data sets because they are confidential

### Did you include all code required to reproduce the issue?

- [x] Yes, I have

### Did you include all relevant configuration (e.g., CPU architecture, Python version, Linux distribution) to reproduce the issue?

- [x] Yes, I have

Commencez par exécuter la reproduction DuckDB Python fournie avec deux Lazy DataFrames et la jointure, puis examinez la sortie de LazyFrame.explain(optimized=True) et le chemin d’intégration Python .pl(lazy=True). C’est terminé lorsque la jointure et collect s’exécutent correctement sans l’erreur de résultat de requête en attente fermé ; des datasets confidentiels peuvent limiter la validation.

Rédigé par le modèle d'indexation à partir du texte de l'issue.