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docs,langchain-community: Fix typos in docs and code (#30541)

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Fix typos
This commit is contained in:
omahs
2025-03-28 20:21:16 +01:00
committed by GitHub
parent 47d50f49d9
commit 6f8735592b
21 changed files with 54 additions and 54 deletions
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2
libs/community/tests/integration_tests/vectorstores/test_azure_cosmos_db.py
View File

@@ -82,7 +82,7 @@ class TestAzureCosmosDBVectorSearch:
if not os.getenv("AZURE_OPENAI_API_VERSION"):
raise ValueError("AZURE_OPENAI_API_VERSION environment variable is not set")
# insure the test collection is empty
# ensure the test collection is empty
collection = prepare_collection()
assert collection.count_documents({}) == 0 # type: ignore[index]

2
libs/community/tests/integration_tests/vectorstores/test_documentdb.py
View File

@@ -69,7 +69,7 @@ class TestDocumentDBVectorSearch:
if not os.getenv("OPENAI_API_KEY"):
raise ValueError("OPENAI_API_KEY environment variable is not set")
# insure the test collection is empty
# ensure the test collection is empty
collection = prepare_collection()
assert collection.count_documents({}) == 0 # type: ignore[index]

62
libs/community/tests/integration_tests/vectorstores/test_hanavector.py
View File

@@ -170,7 +170,7 @@ def test_hanavector_table_with_missing_columns() -> None:
cur.close()
# Check if table is created
exception_occured = False
exception_occurred = False
try:
HanaDB(
connection=test_setup.conn,
@@ -178,10 +178,10 @@ def test_hanavector_table_with_missing_columns() -> None:
distance_strategy=DistanceStrategy.COSINE,
table_name=table_name,
)
exception_occured = False
exception_occurred = False
except AttributeError:
exception_occured = True
assert exception_occured
exception_occurred = True
assert exception_occurred
@pytest.mark.skipif(not hanadb_installed, reason="hanadb not installed")
@@ -243,7 +243,7 @@ def test_hanavector_table_with_wrong_typed_columns() -> None:
cur.close()
# Check if table is created
exception_occured = False
exception_occurred = False
try:
HanaDB(
connection=test_setup.conn,
@@ -251,11 +251,11 @@ def test_hanavector_table_with_wrong_typed_columns() -> None:
distance_strategy=DistanceStrategy.COSINE,
table_name=table_name,
)
exception_occured = False
exception_occurred = False
except AttributeError as err:
print(err) # noqa: T201
exception_occured = True
assert exception_occured
exception_occurred = True
assert exception_occurred
@pytest.mark.skipif(not hanadb_installed, reason="hanadb not installed")
@@ -521,12 +521,12 @@ def test_hanavector_similarity_search_with_metadata_filter_invalid_type(
table_name=table_name,
)
exception_occured = False
exception_occurred = False
try:
vectorDB.similarity_search(texts[0], 3, filter={"wrong_type": 0.1})
except ValueError:
exception_occured = True
assert exception_occured
exception_occurred = True
assert exception_occurred
@pytest.mark.skipif(not hanadb_installed, reason="hanadb not installed")
@@ -727,20 +727,20 @@ def test_hanavector_delete_called_wrong(
)
# Delete without filter parameter
exception_occured = False
exception_occurred = False
try:
vectorDB.delete()
except ValueError:
exception_occured = True
assert exception_occured
exception_occurred = True
assert exception_occurred
# Delete with ids parameter
exception_occured = False
exception_occurred = False
try:
vectorDB.delete(ids=["id1", "id"], filter={"start": 100, "end": 200})
except ValueError:
exception_occured = True
assert exception_occured
exception_occurred = True
assert exception_occurred
@pytest.mark.skipif(not hanadb_installed, reason="hanadb not installed")
@@ -884,7 +884,7 @@ def test_invalid_metadata_keys(texts: List[str], metadatas: List[dict]) -> None:
invalid_metadatas = [
{"sta rt": 0, "end": 100, "quality": "good", "ready": True},
]
exception_occured = False
exception_occurred = False
try:
HanaDB.from_texts(
connection=test_setup.conn,
@@ -894,13 +894,13 @@ def test_invalid_metadata_keys(texts: List[str], metadatas: List[dict]) -> None:
table_name=table_name,
)
except ValueError:
exception_occured = True
assert exception_occured
exception_occurred = True
assert exception_occurred
invalid_metadatas = [
{"sta/nrt": 0, "end": 100, "quality": "good", "ready": True},
]
exception_occured = False
exception_occurred = False
try:
HanaDB.from_texts(
connection=test_setup.conn,
@@ -910,8 +910,8 @@ def test_invalid_metadata_keys(texts: List[str], metadatas: List[dict]) -> None:
table_name=table_name,
)
except ValueError:
exception_occured = True
assert exception_occured
exception_occurred = True
assert exception_occurred
@pytest.mark.skipif(not hanadb_installed, reason="hanadb not installed")
@@ -1361,7 +1361,7 @@ def test_preexisting_specific_columns_for_metadata_wrong_type_or_non_existing(
cur.close()
# Check if table is created
exception_occured = False
exception_occurred = False
try:
HanaDB.from_texts(
connection=test_setup.conn,
@@ -1371,12 +1371,12 @@ def test_preexisting_specific_columns_for_metadata_wrong_type_or_non_existing(
table_name=table_name,
specific_metadata_columns=["quality"],
)
exception_occured = False
exception_occurred = False
except dbapi.Error: # Nothing we should do here, hdbcli will throw an error
exception_occured = True
assert exception_occured # Check if table is created
exception_occurred = True
assert exception_occurred # Check if table is created
exception_occured = False
exception_occurred = False
try:
HanaDB.from_texts(
connection=test_setup.conn,
@@ -1386,10 +1386,10 @@ def test_preexisting_specific_columns_for_metadata_wrong_type_or_non_existing(
table_name=table_name,
specific_metadata_columns=["NonExistingColumn"],
)
exception_occured = False
exception_occurred = False
except AttributeError: # Nothing we should do here, hdbcli will throw an error
exception_occured = True
assert exception_occured
exception_occurred = True
assert exception_occurred
@pytest.mark.skipif(not hanadb_installed, reason="hanadb not installed")

2
libs/community/tests/integration_tests/vectorstores/test_mongodb_atlas.py
View File

@@ -33,7 +33,7 @@ def collection() -> Any:
class TestMongoDBAtlasVectorSearch:
@classmethod
def setup_class(cls) -> None:
# insure the test collection is empty
# ensure the test collection is empty
collection = get_collection()
assert collection.count_documents({}) == 0 # type: ignore[index]

2
libs/community/tests/integration_tests/vectorstores/test_pinecone.py
View File

@@ -59,7 +59,7 @@ class TestPinecone:
else:
pinecone.create_index(name=index_name, dimension=dimension)
# insure the index is empty
# ensure the index is empty
index_stats = cls.index.describe_index_stats()
assert index_stats["dimension"] == dimension
if index_stats["namespaces"].get(namespace_name) is not None: