typing error

src/evaluation/__init__.py

@@ -3,7 +3,7 @@
 from .reranking_perf import compare_performance_reranking
 from .retrieval_evaluation_measures import RetrievalEvaluationMeasure
 from .retrieval_evaluator import RetrievalEvaluator
-from .utils import build_chain_reranker_test, choosing_reranker_test, use_sbert_retrieval_evaluator, hist_results, plot_results
+from .utils import build_chain_reranker_test, choosing_reranker_test, hist_results, plot_results, use_sbert_retrieval_evaluator
 
 __all__ = [
     "RetrievalConfiguration",

src/evaluation/retrieval_evaluation_measures.py

@@ -1,7 +1,7 @@
 # retrieval_evaluation_measures.py
+
 import numpy as np
-from abc import ABC
-from dataclasses import dataclass, field
+
 
 class RetrievalEvaluationMeasure:
     ## Measures #############

src/evaluation/retrieval_evaluator.py

@@ -10,7 +10,7 @@
 from tqdm import tqdm
 
 from src.config import EMB_DEVICE, EMB_MODEL_NAME
-from src.db_building import build_vector_database, reload_database_from_local_dir
+from src.db_building import build_vector_database
 
 from .eval_configuration import RetrievalConfiguration
 from .retrieval_evaluation_measures import RetrievalEvaluationMeasure
@@ -26,7 +26,7 @@ def _build_vector_database(path_data: str, config: RetrievalConfiguration) -> Ch
     """
     Building vector database based on a given embedding model
     """
-    from db_building import build_database_from_dataframe, reload_database_from_local_dir
+    from db_building import reload_database_from_local_dir
 
     embedding_model_name = config.get("embedding_model_name", EMB_MODEL_NAME)
     persist_directory = "./data/chroma_db"

src/reranking/reranking_functions.py

@@ -1,3 +1,5 @@
+from collections.abc import Any, Sequence
+
 import numpy as np
 import torch
 import torch.nn.functional as F