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## Feature This PR aligns LanceDB Python `to_pandas()` APIs with Lance pandas conversion capabilities while keeping LanceDB query-specific semantics intact. - Adds `blob_mode` and pandas `**kwargs` support to local table `to_pandas()`. - Delegates local `LanceTable.to_pandas()` to Lance dataset `to_pandas(blob_mode=..., **kwargs)`. - Keeps remote table `to_pandas()` unsupported with `NotImplementedError`. - Allows sync and async query `to_pandas()` to forward pandas kwargs after LanceDB `flatten` and `timeout` handling. Why we need this feature: Users can access Lance blob-aware pandas conversion from LanceDB local tables and can pass PyArrow pandas conversion options through table/query APIs without losing existing `flatten` or `timeout` behavior. How it works: The table API exposes a `BlobMode` literal type for `lazy`, `bytes`, and `descriptions`. Local tables call through to the backing Lance dataset. Query APIs do not add `blob_mode`; they materialize Arrow results, apply LanceDB flattening when requested, and then call `to_pandas(**kwargs)`. ## Validation - `uv run --frozen --extra tests pytest python/tests/test_table.py::test_table_to_pandas_default_matches_arrow python/tests/test_table.py::test_table_to_pandas_blob_bytes python/tests/test_table.py::test_table_to_pandas_kwargs python/tests/test_query.py::test_query_to_pandas_kwargs python/tests/test_query.py::test_query_timeout python/tests/test_remote_db.py::test_table_to_pandas_not_supported` - `uv run --frozen --extra dev ruff check python/lancedb/table.py python/lancedb/query.py python/lancedb/remote/table.py python/tests/test_table.py python/tests/test_query.py python/tests/test_remote_db.py` - `uv run --frozen --extra tests pytest python/tests/test_table.py python/tests/test_query.py python/tests/test_remote_db.py` Note: `python/uv.lock` was intentionally not committed in this branch.