clean up

arc_finetuning_st/workflows/arc_task_solver.py

@@ -54,8 +54,7 @@ def __init__(self, llm: LLM, max_attempts: int = 3, **kwargs: Any) -> None:
         self.llm = llm
         self._max_attempts = max_attempts
 
-    @staticmethod
-    def _format_past_attempt(attempt: Attempt, attempt_num: int) -> str:
+    def _format_past_attempt(self, attempt: Attempt, attempt_num: int) -> str:
         return past_attempt_template.format(
             past_attempt_number=attempt_num,
             past_predicted_output=str(attempt.prediction),
@@ -90,7 +89,7 @@ def format_train_example(train_pair: Dict) -> str:
             # update past predictions
             prompt_vars = await ctx.get("prompt_vars")
             formatted_past_attempts = [
-                ARCTaskSolverWorkflow._format_past_attempt(a, ix + 1)
+                self._format_past_attempt(a, ix + 1)
                 for ix, a in enumerate(attempts)
             ]
             prompt_vars.update(
@@ -159,7 +158,7 @@ async def reflection(self, ctx: Context, ev: EvaluationEvent) -> StopEvent:
         if not ev.passing:
             prompt_vars = await ctx.get("prompt_vars")
             formatted_past_attempts = [
-                ARCTaskSolverWorkflow._format_past_attempt(a, ix + 1)
+                self._format_past_attempt(a, ix + 1)
                 for ix, a in enumerate(attempts)
             ]
             prompt_vars.update(

arc_finetuning_st/workflows/prompts.py

@@ -67,25 +67,3 @@
 
 Return your response in JSON format given above. DO NOT RETURN markdown code."""
 )
-
-FINETUNING_DATASET_EXAMPLE_TEMPLATE = """You are a bot that is very good at solving puzzles. Below is a list of input and output pairs that share a
-common pattern. The TEST INPUT also shares this common pattern, and you've previously predicted the output for it.
-The predicted output was found to be incorrect and a critique has been articulated offering a potential
-reason as to why it may have been a flawed prediction.
-
-Your task now to create a new prediction that corrects from the previous attempts. Use the last attempt and critique.
-
-EXAMPLES:
-{examples}
-
-TEST INPUT:
-{test_input}
-
-PAST ATTEMPTS:
-{past_attempts}
-
-Return your response in JSON format given above. DO NOT RETURN markdown code.
-
-OUTPUT:
-{output}
-"""