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)
							 | 
						||
| 
								 | 
							
								]
							 |