💄 Format code

Author: fcurella

datauri/__init__.py

@@ -190,12 +190,12 @@ def __get_pydantic_json_schema__(
     ) -> Any:
         json_schema = handler(core_schema)
         json_schema = handler.resolve_ref_schema(json_schema)
-        json_schema['examples'] = [
+        json_schema["examples"] = [
             "data:text/plain;charset=utf-8;base64,VGhlIHF1aWNrIGJyb3duIGZveCBqdW1wZWQgb3ZlciB0aGUgbGF6eSBkb2cu"
         ]
-        json_schema['pattern'] = DATA_URI_REGEX
-        json_schema['type'] = 'string'
-        json_schema['title'] = 'DataURI'
+        json_schema["pattern"] = DATA_URI_REGEX
+        json_schema["type"] = "string"
+        json_schema["title"] = "DataURI"
 
         return json_schema
 

tests/test_pydantic.py

@@ -48,10 +48,9 @@ def test_pydantic_v2_json_schema():
     class Model(pydantic.BaseModel):
         content: DataURI
 
-    schema = Model.model_json_schema(schema_generator=pydantic.json_schema.GenerateJsonSchema)
+    schema = Model.model_json_schema(
+        schema_generator=pydantic.json_schema.GenerateJsonSchema
+    )
     schema_json = json.dumps(schema)
     val = '{"properties": {"content": {"examples": ["data:text/plain;charset=utf-8;base64,VGhlIHF1aWNrIGJyb3duIGZveCBqdW1wZWQgb3ZlciB0aGUgbGF6eSBkb2cu"], "pattern": "data:(?P<mimetype>[\\\w]+\\\/[\\\w\\\-\\\+\\\.]+)?(?:\\\;name\\\=(?P<name>[\\\w\\\.\\\-%!*\'~\\\(\\\)]+))?(?:\\\;charset\\\=(?P<charset>[\\\w\\\-\\\+\\\.]+))?(?P<base64>\\\;base64)?,(?P<data>.*)", "title": "DataURI", "type": "string"}}, "required": ["content"], "title": "Model", "type": "object"}'
-    assert (
-        schema_json
-        == val
-    )
+    assert schema_json == val