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31
he_test.py
31
he_test.py
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@ -1,21 +1,19 @@
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import asyncio
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import json
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from metagpt.llm import LLM
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from evalplus.data import get_human_eval_plus, write_jsonl
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from examples.ags.benchmark.humaneval import sample_generate, samples_generate, extract_failure_tests, automatic_evalplus
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from examples.ags.w_action_node.utils import jsonl_ranker, llm_extract_test_case
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from examples.ags.w_action_node.graph import HumanEvalGraph
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from examples.ags.w_action_node.utils import extract_test_cases_from_jsonl
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# 132 141 136 80 73
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# asyncio.run(sample_generate('HumanEval/140',result_path="llm_based_1000.jsonl",mode="llm"))
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# asyncio.run(sample_generate('HumanEval/140',result_path="llm_based_1000.jsonl",mode="llm"))
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# asyncio.run(sample_generate('HumanEval/140',result_path="llm_based_1000.jsonl",mode="llm"))
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from examples.ags.benchmark.humaneval import sample_generate, samples_generate
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asyncio.run(sample_generate("HumanEval/0", result_path="llm_based_1000.jsonl", mode="llm"))
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asyncio.run(samples_generate(mode="alpha_codium", result_path="alpha_based_1000.jsonl"))
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# asyncio.run(sample_generate('HumanEval/140',result_path="llm_based_1000.jsonl",mode="llm"))
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# asyncio.run(sample_generate('HumanEval/140',result_path="llm_based_1000.jsonl",mode="llm"))
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# asyncio.run(sample_generate('HumanEval/67',result_path="llm_based_1000.jsonl",mode="llm"))
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# asyncio.run(sample_generate('HumanEval/108',result_path="llm_based_1000.jsonl",mode="llm"))
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# asyncio.run(sample_generate('HumanEval/110',result_path="llm_based_1000.jsonl",mode="llm"))
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asyncio.run(samples_generate(mode='alpha',result_path="alpha_based_104.jsonl"))
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# jsonl_ranker("llm_based_137.jsonl", "llm_based_137.jsonl")
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# asyncio.run(samples_generate(mode='alpha',result_path="alpha_based_108.jsonl"))
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# sort_json_by_key("alpha_based_108.jsonl", "alpha_based_108.jsonl")
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# 64 84 160 148 109
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# result_path = "ags_based_6.jsonl"
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# if automatic_evalplus(result_path):
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# unpassed_exapmle = extract_failure_tests(result_path[:-6]+"_eval_results.json")
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@ -27,9 +25,6 @@ asyncio.run(samples_generate(mode='alpha',result_path="alpha_based_104.jsonl"))
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# for example in failure_list:
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# asyncio.run(sample_generate(example))
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# TODO 抽取Public Test没搞完,先用几个测试跑一下流程
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# from evalplus.data import get_human_eval_plus
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# id_list = [87, 95, 107, 112, 127, 136, 148, 155]
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# id_list = [155]
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# cases_id = [f"HumanEval/{case_id}" for case_id in id_list]
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@ -52,6 +47,6 @@ asyncio.run(samples_generate(mode='alpha',result_path="alpha_based_104.jsonl"))
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# solver = HumanEvalGraph(name="solver", llm=LLM(), criteria='correctness, efficiency, readability', vote_count=1)
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# result = asyncio.run(solver.alpha_codium(problem_id="HumanEval/140", problem=case_prompt, ensemble_count=1))
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# 1. Public Test 数据集不对
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# 1. Public Test 数据集不对
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# 2. 修改两个Prompt的具体内容
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# 3. 尝试增加Test错误之后的修改能力
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# 3. 尝试增加Test错误之后的修改能力
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