style: run autoformat.sh (isort + pyink)

Author: yuvrajangadsingh

src/google/adk/evaluation/eval_metrics.py

@@ -19,6 +19,7 @@
 from typing import Optional
 from typing import Union
 
+from google.adk.models.base_llm import BaseLlm
 from google.genai import types as genai_types
 from pydantic import alias_generators
 from pydantic import BaseModel
@@ -28,8 +29,6 @@
 from pydantic.json_schema import SkipJsonSchema
 from typing_extensions import TypeAlias
 
-from google.adk.models.base_llm import BaseLlm
-
 from .common import EvalBaseModel
 from .eval_case import Invocation
 from .eval_rubrics import Rubric

src/google/adk/evaluation/hallucinations_v1.py

@@ -295,7 +295,9 @@ def __init__(self, eval_metric: EvalMetric):
     self.segmenter_prompt = _HALLUCINATIONS_V1_SEGMENTER_PROMPT
     self.sentence_validator_prompt = _HALLUCINATIONS_V1_VALIDATOR_PROMPT
     judge_model = self._judge_model_options.judge_model
-    self._model = judge_model if isinstance(judge_model, str) else judge_model.model
+    self._model = (
+        judge_model if isinstance(judge_model, str) else judge_model.model
+    )
     self._model_config = (
         self._judge_model_options.judge_model_config
         or genai_types.GenerateContentConfig()

src/google/adk/evaluation/llm_as_judge.py

@@ -137,7 +137,9 @@ async def evaluate_invocations(
     for actual, expected in zip(actual_invocations, expected_invocations):
       auto_rater_prompt = self.format_auto_rater_prompt(actual, expected)
       judge_model = self._judge_model_options.judge_model
-      model_str = judge_model if isinstance(judge_model, str) else judge_model.model
+      model_str = (
+          judge_model if isinstance(judge_model, str) else judge_model.model
+      )
       llm_request = LlmRequest(
           model=model_str,
           contents=[

src/google/adk/evaluation/simulation/llm_backed_user_simulator.py

@@ -181,7 +181,9 @@ async def _get_llm_response(
     )
 
     config_model = self._config.model
-    model_str = config_model if isinstance(config_model, str) else config_model.model
+    model_str = (
+        config_model if isinstance(config_model, str) else config_model.model
+    )
     llm_request = LlmRequest(
         model=model_str,
         config=self._config.model_configuration,

src/google/adk/evaluation/simulation/per_turn_user_simulator_quality_v1.py

@@ -328,7 +328,9 @@ async def _evaluate_intermediate_turn(
     )
 
     judge_model = self._llm_options.judge_model
-    model_str = judge_model if isinstance(judge_model, str) else judge_model.model
+    model_str = (
+        judge_model if isinstance(judge_model, str) else judge_model.model
+    )
     llm_request = LlmRequest(
         model=model_str,
         contents=[