Chang She 3c46d7f268 Handle NaN input data (#241) ...

Sometimes LangChain would insert a single `[np.nan]` as a placeholder if
the embedding function failed. This causes a problem for Lance format
because then the array can't be stored as a FixedSizedListArray.

Instead:
1. By default we remove rows with embedding lengths less than the
maximum length in the batch
2. If `strict=True` kwargs is set to True, then a `ValueError` is raised
if the embeddings aren't all the same length

---------

Co-authored-by: Chang She <chang@lancedb.com>

2023-07-04 20:00:46 -07:00

..

test_context.py

[Python] Updated to_df implementation in Contextualizer class (#174)

2023-06-14 09:22:32 -07:00

test_db.py

Error implementations (#232)

2023-06-27 16:48:31 -07:00

test_e2e_remote_db.py

isort entire repo (#200)

2023-06-15 20:12:10 -04:00

test_embeddings.py

isort entire repo (#200)

2023-06-15 20:12:10 -04:00

test_fts.py

isort entire repo (#200)

2023-06-15 20:12:10 -04:00

test_io.py

isort entire repo (#200)

2023-06-15 20:12:10 -04:00

test_query.py

Handle NaN input data (#241)

2023-07-04 20:00:46 -07:00

test_remote_client.py

Handle NaN input data (#241)

2023-07-04 20:00:46 -07:00

test_remote_db.py

isort entire repo (#200)

2023-06-15 20:12:10 -04:00

test_table.py

Handle NaN input data (#241)

2023-07-04 20:00:46 -07:00

test_util.py

windows paths

2023-05-04 11:41:05 -07:00