From 133874cc0b2dcc30e759c61fadf036a0f3d0cec7 Mon Sep 17 00:00:00 2001
From: seehi <6580@pm.me>
Date: Tue, 14 May 2024 15:56:52 +0800
Subject: [PATCH] format

---
 metagpt/rag/benchmark/base.py   |  2 +-
 metagpt/rag/factories/ranker.py | 10 ++++++----
 2 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/metagpt/rag/benchmark/base.py b/metagpt/rag/benchmark/base.py
index c1fd297d9..b5d265b35 100644
--- a/metagpt/rag/benchmark/base.py
+++ b/metagpt/rag/benchmark/base.py
@@ -121,7 +121,7 @@ def mean_reciprocal_rank(self, nodes: list[NodeWithScore], reference_docs: list[
                     return mrr_sum
 
         return mrr_sum
-        
+
     async def semantic_similarity(self, response: str, reference: str) -> float:
         result = await self.evaluator.aevaluate(
             response=response,
diff --git a/metagpt/rag/factories/ranker.py b/metagpt/rag/factories/ranker.py
index b75745a1f..7abda162a 100644
--- a/metagpt/rag/factories/ranker.py
+++ b/metagpt/rag/factories/ranker.py
@@ -8,11 +8,11 @@
 from metagpt.rag.rankers.object_ranker import ObjectSortPostprocessor
 from metagpt.rag.schema import (
     BaseRankerConfig,
+    BGERerankConfig,
+    CohereRerankConfig,
     ColbertRerankConfig,
     LLMRankerConfig,
     ObjectRankerConfig,
-    CohereRerankConfig,
-    BGERerankConfig
 )
 
 
@@ -60,13 +60,15 @@ def _create_cohere_rerank(self, config: CohereRerankConfig, **kwargs) -> LLMRera
 
     def _create_bge_rerank(self, config: BGERerankConfig, **kwargs) -> LLMRerank:
         try:
-            from llama_index.postprocessor.flag_embedding_reranker import FlagEmbeddingReranker
+            from llama_index.postprocessor.flag_embedding_reranker import (
+                FlagEmbeddingReranker,
+            )
         except ImportError:
             raise ImportError(
                 "`llama-index-postprocessor-flag-embedding-reranker` package not found, please run `pip install llama-index-postprocessor-flag-embedding-reranker`"
             )
         return FlagEmbeddingReranker(**config.model_dump())
-        
+
     def _create_object_ranker(self, config: ObjectRankerConfig, **kwargs) -> LLMRerank:
         return ObjectSortPostprocessor(**config.model_dump())