65 lines
		
	
	
		
			3.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			65 lines
		
	
	
		
			3.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
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 MBPPDataset, MBPPEvaluator
 | 
						|
 | 
						|
mbpp_reader_cfg = dict(
 | 
						|
    input_columns=['text', 'test_list'], output_column='test_list_2')
 | 
						|
 | 
						|
mbpp_infer_cfg = dict(
 | 
						|
    prompt_template=dict(
 | 
						|
        type=PromptTemplate,
 | 
						|
        template=dict(
 | 
						|
            round=[
 | 
						|
                dict(
 | 
						|
                    role="HUMAN",
 | 
						|
                    prompt=
 | 
						|
                    "You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:\n\n assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)\n assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4) \n assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14) \n"
 | 
						|
                ),
 | 
						|
                dict(
 | 
						|
                    role="BOT",
 | 
						|
                    prompt=
 | 
						|
                    "[BEGIN]\n 'def similar_elements(test_tup1, test_tup2):\r\n  res = tuple(set(test_tup1) & set(test_tup2))\r\n  return (res)' \n[DONE] \n\n "
 | 
						|
                ),
 | 
						|
                dict(
 | 
						|
                    role="HUMAN",
 | 
						|
                    prompt=
 | 
						|
                    "You are an expert Python programmer, and here is your task: Write a python function to identify non-prime numbers. Your code should pass these tests:\n\n assert is_not_prime(2) == False \n assert is_not_prime(10) == True \n assert is_not_prime(35) == True \n"
 | 
						|
                ),
 | 
						|
                dict(
 | 
						|
                    role="BOT",
 | 
						|
                    prompt=
 | 
						|
                    "[BEGIN]\n 'import math\r\ndef is_not_prime(n):\r\n    result = False\r\n    for i in range(2,int(math.sqrt(n)) + 1):\r\n        if n % i == 0:\r\n            result = True\r\n    return result' \n[DONE] \n\n "
 | 
						|
                ),
 | 
						|
                dict(
 | 
						|
                    role="HUMAN",
 | 
						|
                    prompt=
 | 
						|
                    "You are an expert Python programmer, and here is your task: Write a function to find the largest integers from a given list of numbers using heap queue algorithm. Your code should pass these tests:\n\n assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] \n assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] \n assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35] \n"
 | 
						|
                ),
 | 
						|
                dict(
 | 
						|
                    role="BOT",
 | 
						|
                    prompt=
 | 
						|
                    "[BEGIN]\n 'import heapq as hq\r\ndef heap_queue_largest(nums,n):\r\n  largest_nums = hq.nlargest(n, nums)\r\n  return largest_nums' \n[DONE] \n\n "
 | 
						|
                ),
 | 
						|
                dict(
 | 
						|
                    role="HUMAN",
 | 
						|
                    prompt=
 | 
						|
                    "You are an expert Python programmer, and here is your task: {text} Your code should pass these tests:\n\n {test_list}  \n"
 | 
						|
                ),
 | 
						|
                dict(role="BOT", prompt="[BEGIN]\n"),
 | 
						|
            ], )),
 | 
						|
    retriever=dict(type=ZeroRetriever),
 | 
						|
    inferencer=dict(type=GenInferencer, max_out_len=512))
 | 
						|
 | 
						|
mbpp_eval_cfg = dict(evaluator=dict(type=MBPPEvaluator), pred_role="BOT")
 | 
						|
 | 
						|
mbpp_datasets = [
 | 
						|
    dict(
 | 
						|
        type=MBPPDataset,
 | 
						|
        abbr='mbpp',
 | 
						|
        path='./data/mbpp/mbpp.jsonl',
 | 
						|
        reader_cfg=mbpp_reader_cfg,
 | 
						|
        infer_cfg=mbpp_infer_cfg,
 | 
						|
        eval_cfg=mbpp_eval_cfg)
 | 
						|
]
 |