from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import GenInferencer
from opencompass.datasets import MATHInternDataset, MATHInternEvaluator, math_intern_postprocess

math_reader_cfg = dict(input_columns=['problem'], output_column='solution')

math_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template=dict(round=[
            dict(role='HUMAN', prompt="Question: {problem}\nLet's think step by step\nAnswer:")
        ])),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer, max_out_len=512))

math_eval_cfg = dict(
    evaluator=dict(type=MATHInternEvaluator), pred_postprocessor=dict(type=math_intern_postprocess))

math_datasets = [
    dict(
        type=MATHInternDataset,
        abbr='math',
        path='./data/math/math.json',
        reader_cfg=math_reader_cfg,
        infer_cfg=math_infer_cfg,
        eval_cfg=math_eval_cfg)
]