Fixed typos. (#277)

Fixed typos.

Co-authored-by: Mason Daugherty <[email protected]>

Author: 2 people

.github/scripts/get_min_versions.py

@@ -6,7 +6,7 @@
 if sys.version_info >= (3, 11):
     import tomllib
 else:
-    # For Python 3.10 and below, which doesnt have stdlib tomllib
+    # For Python 3.10 and below, which doesn't have stdlib tomllib
     import tomli as tomllib
 
 import re

libs/community/langchain_community/chat_models/litellm.py

@@ -579,7 +579,7 @@ def bind_tools(
         formatted_tools = [convert_to_openai_tool(tool) for tool in tools]
 
         # In case of openai if tool_choice is `any` or if bool has been provided we
-        # change it to `required` as that is suppored by openai.
+        # change it to `required` as that is supported by openai.
         if (
             (self.model is not None and "azure" in self.model)
             or (self.model_name is not None and "azure" in self.model_name)

libs/community/langchain_community/vectorstores/falkordb_vector.py

@@ -177,7 +177,7 @@ def process_index_data(data: List[List[Any]]) -> List[Dict[str, Any]]:
 
     Args:
         data (List[List[Any]]): A nested list containing
-        details about entitys, their properties, index
+        details about entities, their properties, index
         types, and configuration information.
 
     Returns:
@@ -209,7 +209,7 @@ def process_index_data(data: List[List[Any]]) -> List[Dict[str, Any]]:
         - If the index type includes 'VECTOR', additional
           details such as dimension and similarity function
           are extracted from the entity configuration.
-        - The function handles cases where entitys have
+        - The function handles cases where entities have
           multiple index types (e.g., both 'FULLTEXT' and 'VECTOR').
     """
 
@@ -276,7 +276,7 @@ class FalkorDBVector(VectorStore):
         pre_delete_collection: If True, will delete
                 existing data if it exists.(default:
                 False). Useful for testing.
-        search_type: Similiarity search type to use.
+        search_type: Similarity search type to use.
                 Could be either SearchType.VECTOR or
                 SearchType.HYBRID (default:
                 SearchType.VECTOR)

libs/community/tests/unit_tests/document_loaders/parsers/test_pdf_parsers.py

@@ -92,4 +92,4 @@ def test_parsers(
         parser = parser_class()
         _assert_with_parser(parser, **params)
     except ModuleNotFoundError:
-        pytest.skip(f"{parser_factory} skiped. Require '{require}'")
+        pytest.skip(f"{parser_factory} skipped. Require '{require}'")

libs/community/tests/unit_tests/vectorstores/test_azure_search.py

@@ -244,7 +244,7 @@ def __init__(self) -> None:
     def mock_upload_documents(
         self: SearchClient, documents: List[object]
     ) -> List[Response]:
-        # assume all documents uploaded successfuly
+        # assume all documents uploaded successfully
         response = [Response() for _ in documents]
         return response