docs: fix spelling typos across python package docstrings (#4146)

Six files carried spelling typos in user-visible docstrings:

- `table.py` (×3) + `remote/table.py`: "The **targetted** vector to
search for" → "targeted"
- `query.py`: "pa.Array **wouln't** be allowed" → "wouldn't"
- `embeddings/gte.py`: "mlx package **insalled**" → "installed"
- `rerankers/base.py`: "This is **inteded**" → "intended"
- `index.py`: "dimension **divded** by 8" → "divided"

Docstrings only.

python/python/lancedb/embeddings/gte.py

@@ -21,7 +21,7 @@ class GteEmbeddings(TextEmbeddingFunction):
     An embedding function that uses GTE-LARGE MLX format(for Apple silicon devices only)
     as well as the standard cpu/gpu version from: https://huggingface.co/thenlper/gte-large.
 
-    For Apple users, you will need the mlx package insalled, which can be done with:
+    For Apple users, you will need the mlx package installed, which can be done with:
         pip install mlx
 
     Parameters

python/python/lancedb/index.py

@@ -751,7 +751,7 @@ class IvfPq:
         This value controls how much the vector is compressed during the
         quantization step.  The more sub vectors there are the less the vector is
         compressed.  The default is the dimension of the vector divided by 16.  If
-        the dimension is not evenly divisible by 16 we use the dimension divded by
+        the dimension is not evenly divisible by 16 we use the dimension divided by
         8.
 
         The above two cases are highly preferred.  Having 8 or 16 values per

python/python/lancedb/query.py

@@ -859,7 +859,7 @@ class Query(pydantic.BaseModel):
         return query
 
     # This tells pydantic to allow custom types (needed for the `vector` query since
-    # pa.Array wouln't be allowed otherwise)
+    # pa.Array wouldn't be allowed otherwise)
     model_config = pydantic.ConfigDict(arbitrary_types_allowed=True)
 
 

python/python/lancedb/remote/table.py

@@ -720,7 +720,7 @@ class RemoteTable(Table):
         Parameters
         ----------
         query: list/np.ndarray/str/PIL.Image.Image, default None
-            The targetted vector to search for.
+            The targeted vector to search for.
 
             - *default None*.
             Acceptable types are: list, np.ndarray, PIL.Image.Image

python/python/lancedb/rerankers/base.py

@@ -175,7 +175,7 @@ class Reranker(ABC):
             if the results haven't been executed yet or the results in arrow format.
         query : str or None,
             The input query. Some rerankers might not need the query to rerank.
-            In that case, it can be set to None explicitly. This is inteded to
+            In that case, it can be set to None explicitly. This is intended to
             be handled by the reranker implementations.
         deduplicate : bool, optional
             Whether to deduplicate the results based on the `_rowid` column,

python/python/lancedb/table.py

@@ -1619,7 +1619,7 @@ class Table(ABC):
         Parameters
         ----------
         query: list/np.ndarray/str/PIL.Image.Image, default None
-            The targetted vector to search for.
+            The targeted vector to search for.
 
             - *default None*.
             Acceptable types are: list, np.ndarray, PIL.Image.Image
@@ -3841,7 +3841,7 @@ class LanceTable(Table):
         Parameters
         ----------
         query: list/np.ndarray/str/PIL.Image.Image, default None
-            The targetted vector to search for.
+            The targeted vector to search for.
 
             - *default None*.
             Acceptable types are: list, np.ndarray, PIL.Image.Image
@@ -5814,7 +5814,7 @@ class AsyncTable:
         Parameters
         ----------
         query: list/np.ndarray/str/PIL.Image.Image, default None
-            The targetted vector to search for.
+            The targeted vector to search for.
 
             - *default None*.
             Acceptable types are: list, np.ndarray, PIL.Image.Image