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* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
42 lines
2.9 KiB
Python
42 lines
2.9 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever
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from opencompass.openicl.icl_inferencer import GenInferencer
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from opencompass.datasets import SanitizedMBPPDataset, MBPPEvaluator
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sanitized_mbpp_reader_cfg = dict(input_columns=['text', 'test_list'], output_column='test_list_2')
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sanitized_mbpp_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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round=[
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dict(role='HUMAN', prompt='You are an expert Python programmer, and here is your task:\nWrite a function to find the similar elements from the given two tuple lists.\nYour code should pass these tests:\n\nassert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)\nassert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)\nassert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)\n',),
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dict(role='BOT', prompt="[BEGIN]\n 'def similar_elements(test_tup1, test_tup2):\n res = tuple(set(test_tup1) & set(test_tup2))\n return (res)' \n[DONE]\n\n",),
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dict(role='HUMAN', prompt='You are an expert Python programmer, and here is your task:\nWrite a python function to identify non-prime numbers.\nYour code should pass these tests:\n\nassert is_not_prime(2) == False\nassert is_not_prime(10) == True\nassert is_not_prime(35) == True\n',),
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dict(role='BOT', prompt="[BEGIN]\n 'import math\ndef is_not_prime(n):\n result = False\n for i in range(2,int(math.sqrt(n)) + 1):\n if n %% i == 0:\n result = True\n return result' \n[DONE]\n\n",),
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dict(role='HUMAN', prompt='You are an expert Python programmer, and here is your task:\nWrite a function to find the largest integers from a given list of numbers using heap queue algorithm.\nYour code should pass these tests:\n\nassert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65]\nassert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75]\nassert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]\n',),
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dict(role='BOT', prompt="[BEGIN]\n 'import heapq as hq\ndef heap_queue_largest(nums,n):\n largest_nums = hq.nlargest(n, nums)\n return largest_nums' \n[DONE]\n\n",),
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dict(role='HUMAN', prompt='You are an expert Python programmer, and here is your task:\n{text}\nYour code should pass these tests:\n\n{test_list}\n',),
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],
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),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=512),
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)
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sanitized_mbpp_eval_cfg = dict(evaluator=dict(type=MBPPEvaluator), pred_role='BOT')
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sanitized_mbpp_datasets = [
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dict(
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type=SanitizedMBPPDataset,
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abbr='sanitized_mbpp',
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path='opencompass/sanitized_mbpp',
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reader_cfg=sanitized_mbpp_reader_cfg,
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infer_cfg=sanitized_mbpp_infer_cfg,
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eval_cfg=sanitized_mbpp_eval_cfg,
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)
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]
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