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chore: update lance dependency to v1.0.0-beta.16 (#2835)

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## Summary
- bump all Lance crates to v1.0.0-beta.16 via ci/set_lance_version.py
- refresh Cargo.lock (reqwest/opendal/etc.) to satisfy the new release

## Verification
- cargo clippy --workspace --tests --all-features -- -D warnings
- cargo fmt --all

Triggered by
[refs/tags/v1.0.0-beta.16](https://github.com/lance-format/lance/releases/tag/v1.0.0-beta.16)

---------

Co-authored-by: Jack Ye <yezhaoqin@gmail.com>
This commit is contained in:
LanceDB Robot
2025-12-02 15:07:03 +08:00
committed by GitHub
parent 434f4124fc
commit 4b5bb2d76c
3 changed files with 80 additions and 138 deletions
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17
python/python/lancedb/query.py
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@@ -2429,9 +2429,8 @@ class AsyncQueryBase(object):
>>> from lancedb import connect_async
>>> async def doctest_example():
... conn = await connect_async("./.lancedb")
... table = await conn.create_table("my_table", [{"vector": [99, 99]}])
... query = [100, 100]
... plan = await table.query().nearest_to([1, 2]).explain_plan(True)
... table = await conn.create_table("my_table", [{"vector": [99.0, 99.0]}])
... plan = await table.query().nearest_to([1.0, 2.0]).explain_plan(True)
... print(plan)
>>> asyncio.run(doctest_example()) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE
ProjectionExec: expr=[vector@0 as vector, _distance@2 as _distance]
@@ -2440,6 +2439,7 @@ class AsyncQueryBase(object):
SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
KNNVectorDistance: metric=l2
LanceRead: uri=..., projection=[vector], ...
<BLANKLINE>
Parameters
----------
@@ -3141,10 +3141,9 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
>>> from lancedb.index import FTS
>>> async def doctest_example():
... conn = await connect_async("./.lancedb")
... table = await conn.create_table("my_table", [{"vector": [99, 99], "text": "hello world"}])
... table = await conn.create_table("my_table", [{"vector": [99.0, 99.0], "text": "hello world"}])
... await table.create_index("text", config=FTS(with_position=False))
... query = [100, 100]
... plan = await table.query().nearest_to([1, 2]).nearest_to_text("hello").explain_plan(True)
... plan = await table.query().nearest_to([1.0, 2.0]).nearest_to_text("hello").explain_plan(True)
... print(plan)
>>> asyncio.run(doctest_example()) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE
Vector Search Plan:
@@ -3418,9 +3417,8 @@ class BaseQueryBuilder(object):
>>> from lancedb import connect_async
>>> async def doctest_example():
... conn = await connect_async("./.lancedb")
... table = await conn.create_table("my_table", [{"vector": [99, 99]}])
... query = [100, 100]
... plan = await table.query().nearest_to([1, 2]).explain_plan(True)
... table = await conn.create_table("my_table", [{"vector": [99.0, 99.0]}])
... plan = await table.query().nearest_to([1.0, 2.0]).explain_plan(True)
... print(plan)
>>> asyncio.run(doctest_example()) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE
ProjectionExec: expr=[vector@0 as vector, _distance@2 as _distance]
@@ -3429,6 +3427,7 @@ class BaseQueryBuilder(object):
SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
KNNVectorDistance: metric=l2
LanceRead: uri=..., projection=[vector], ...
<BLANKLINE>
Parameters
----------