MetaGPT/he_test.py

import asyncio

from examples.ags.benchmark.humaneval import sample_generate, samples_generate

asyncio.run(sample_generate("HumanEval/0", result_path="llm_based_1000.jsonl", mode="llm"))
asyncio.run(samples_generate(mode="alpha_codium", result_path="alpha_based_1000.jsonl"))

# asyncio.run(sample_generate('HumanEval/140',result_path="llm_based_1000.jsonl",mode="llm"))
# asyncio.run(sample_generate('HumanEval/140',result_path="llm_based_1000.jsonl",mode="llm"))
# asyncio.run(sample_generate('HumanEval/67',result_path="llm_based_1000.jsonl",mode="llm"))
# asyncio.run(sample_generate('HumanEval/108',result_path="llm_based_1000.jsonl",mode="llm"))
# asyncio.run(sample_generate('HumanEval/110',result_path="llm_based_1000.jsonl",mode="llm"))
# asyncio.run(samples_generate(mode='alpha',result_path="alpha_based_108.jsonl"))
# sort_json_by_key("alpha_based_108.jsonl", "alpha_based_108.jsonl")

# 64 84 160 148 109
# result_path = "ags_based_6.jsonl"
# if automatic_evalplus(result_path):
#     unpassed_exapmle = extract_failure_tests(result_path[:-6]+"_eval_results.json")
#     print(unpassed_exapmle)

# unpassed_exapmle = extract_failure_tests(file_path="2_eval_results.json")
# print(unpassed_exapmle)

# for example in failure_list:
#     asyncio.run(sample_generate(example))

# id_list = [87, 95, 107, 112, 127, 136, 148, 155]
# id_list = [155]
# cases_id = [f"HumanEval/{case_id}" for case_id in id_list]
# cases = {case_id: get_human_eval_plus()[case_id]['prompt'] for case_id in cases_id}
# async def main(cases):
#     try:
#         tasks = [llm_extract_test_case(case_id, case) for case_id, case in cases.items()]
#         results = await asyncio.gather(*tasks)
#     except:
#         failed_tasks = [task_id for task_id in results if task_id is not None]
#         print(failed_tasks)
#     return results

# asyncio.run(main(cases))

# [72, 80, 82, 87, 90, 95, 107, 109, 112, 124, 126, 127, 128, 132, 134, 136, 137, 138, 148, 154, 155]

# TODO 代码问题，改动了一个地方导致Solution 没有了
# case_prompt= get_human_eval_plus()["HumanEval/140"]['prompt']
# solver = HumanEvalGraph(name="solver", llm=LLM(), criteria='correctness, efficiency, readability', vote_count=1)
# result = asyncio.run(solver.alpha_codium(problem_id="HumanEval/140", problem=case_prompt, ensemble_count=1))

# 1. Public Test 数据集不对
# 2. 修改两个Prompt的具体内容
# 3. 尝试增加Test错误之后的修改能力