fix ci

docs/howtos/integrations/langfuse.ipynb

@@ -424,14 +424,17 @@
     "from langfuse.decorators import observe, langfuse_context\n",
     "from asyncio import run\n",
     "\n",
+    "\n",
     "@observe()\n",
     "def retriver(question: str):\n",
     "    return q_to_c[question]\n",
     "\n",
+    "\n",
     "@observe()\n",
     "def generator(question):\n",
     "    return q_to_a[question]\n",
     "\n",
+    "\n",
     "@observe()\n",
     "def rag_pipeline(question):\n",
     "    q_hash = hash_string(question)\n",

src/ragas/experimental/testset/generators/abstract.py

@@ -53,9 +53,9 @@ async def generate_scenarios(
         self, n: int, knowledge_graph: KnowledgeGraph
     ) -> t.List[AbstractQuestionScenario]:
         node_clusters = knowledge_graph.find_clusters(
-            relationship_condition=lambda rel: True
-            if rel.get_property("cosine_similarity")
-            else False
+            relationship_condition=lambda rel: (
+                True if rel.get_property("cosine_similarity") else False
+            )
         )
         logger.info("found %d clusters", len(node_clusters))
 

src/ragas/experimental/testset/generators/generator.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import math
 import typing as t
 from dataclasses import dataclass, field
 

src/ragas/experimental/testset/transforms/engine.py

@@ -3,7 +3,6 @@
 import asyncio
 import logging
 import typing as t
-from dataclasses import dataclass
 
 from ragas.executor import as_completed, is_event_loop_running, tqdm
 from ragas.experimental.testset.graph import KnowledgeGraph