diff --git a/tests/test_function_calls.py b/tests/test_function_calls.py
index bcedb9ef2..07b2dc1da 100644
--- a/tests/test_function_calls.py
+++ b/tests/test_function_calls.py
@@ -52,6 +52,7 @@ def mock_completion(request: T) -> ChatCompletion:
 
     return completion
 
+
 @pytest.fixture  # type: ignore[misc]
 def mock_anthropic_message(request: T) -> Message:
     data_content = '{\n"data": "Claude says hi"\n}'
@@ -59,7 +60,7 @@ def mock_anthropic_message(request: T) -> Message:
         data_content = request.param.get("data_content", data_content)
     return Message(
         id="test_id",
-        content=[{ "type": "text", "text": data_content }],
+        content=[{"type": "text", "text": data_content}],
         model="claude-3-haiku-20240307",
         role="assistant",
         stop_reason="end_turn",
@@ -68,9 +69,10 @@ def mock_anthropic_message(request: T) -> Message:
         usage=Usage(
             input_tokens=100,
             output_tokens=100,
-        )
+        ),
     )
 
+
 def test_openai_schema() -> None:
     @openai_schema
     class Dataframe(BaseModel):  # type: ignore[misc]
@@ -142,12 +144,16 @@ def test_incomplete_output_exception_raise(
     with pytest.raises(IncompleteOutputException):
         test_model.from_response(mock_completion, mode=instructor.Mode.FUNCTIONS)
 
+
 def test_anthropic_no_exception(
     test_model: type[OpenAISchema], mock_anthropic_message: Message
 ) -> None:
-    test_model_instance = test_model.from_response(mock_anthropic_message, mode=instructor.Mode.ANTHROPIC_JSON)
+    test_model_instance = test_model.from_response(
+        mock_anthropic_message, mode=instructor.Mode.ANTHROPIC_JSON
+    )
     assert test_model_instance.data == "Claude says hi"
 
+
 @pytest.mark.parametrize(
     "mock_anthropic_message",
     [{"data_content": '{\n"data": "Claude likes\ncontrol\ncharacters"\n}'}],
@@ -167,6 +173,7 @@ def test_control_characters_not_allowed_in_anthropic_json_strict_mode(
     assert exc.errors()[0]["type"] == "json_invalid"
     assert "control character" in exc.errors()[0]["msg"]
 
+
 @pytest.mark.parametrize(
     "mock_anthropic_message",
     [{"data_content": '{\n"data": "Claude likes\ncontrol\ncharacters"\n}'}],