diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..906bdd0b211e6bca2fbd43d9010a892f8832be84 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +evalplus/gallary/overview.png filter=lfs diff=lfs merge=lfs -text +evalplus/gallary/render.gif filter=lfs diff=lfs merge=lfs -text +nohup.out filter=lfs diff=lfs merge=lfs -text diff --git a/__pycache__/cloudgpt_aoai.cpython-310.pyc b/__pycache__/cloudgpt_aoai.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..3762446754fe13e109833139c8c48507748f0391 Binary files /dev/null and b/__pycache__/cloudgpt_aoai.cpython-310.pyc differ diff --git a/__pycache__/rouge.cpython-310.pyc b/__pycache__/rouge.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..0b7e8b812f363857c035cf4e623923e8a425b32b Binary files /dev/null and b/__pycache__/rouge.cpython-310.pyc differ diff --git a/ans.sh b/ans.sh new file mode 100644 index 0000000000000000000000000000000000000000..3e290b41a4c442d2a578450770459828df297d55 --- /dev/null +++ b/ans.sh @@ -0,0 +1,26 @@ +#python vllmans.py --path /home/aiscuser/fhw/model_weights/llama --datapath /home/aiscuser/fhw/data/athene_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/llama --datapath /home/aiscuser/fhw/data/deepseekcoder_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/llama --datapath /home/aiscuser/fhw/data/llama_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/llama --datapath /home/aiscuser/fhw/data/qwen_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/llama --datapath /home/aiscuser/fhw/data/qwq_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/deepseekcoder --datapath /home/aiscuser/fhw/data/athene_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/deepseekcoder --datapath /home/aiscuser/fhw/data/deepseekcoder_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/deepseekcoder --datapath /home/aiscuser/fhw/data/llama_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/deepseekcoder --datapath /home/aiscuser/fhw/data/qwen_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/deepseekcoder --datapath /home/aiscuser/fhw/data/qwq_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/athene --datapath /home/aiscuser/fhw/data/athene_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/athene --datapath /home/aiscuser/fhw/data/deepseekcoder_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/athene --datapath /home/aiscuser/fhw/data/llama_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/athene --datapath /home/aiscuser/fhw/data/qwen_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/athene --datapath /home/aiscuser/fhw/data/qwq_python_7w.json +python vllmans.py --path /home/aiscuser/fhw/model_weights/qwen --datapath /home/aiscuser/fhw/data/athene_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/qwen --datapath /home/aiscuser/fhw/data/deepseekcoder_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/qwen --datapath /home/aiscuser/fhw/data/llama_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/qwen --datapath /home/aiscuser/fhw/data/qwen_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/qwen --datapath /home/aiscuser/fhw/data/qwq_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/qwq --datapath /home/aiscuser/fhw/data/athene_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/qwq --datapath /home/aiscuser/fhw/data/deepseekcoder_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/qwq --datapath /home/aiscuser/fhw/data/llama_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/qwq --datapath /home/aiscuser/fhw/data/qwen_python_7w.json +#python vllmans.py --path /home/aiscuser/fhw/model_weights/qwq --datapath /home/aiscuser/fhw/data/qwq_python_7w.json +python /data/local/zhangdi/DPO/DPO_train.py diff --git a/arenaans.sh b/arenaans.sh new file mode 100644 index 0000000000000000000000000000000000000000..ce50e0b738b8786d2b1b26d3bb9a2efedbd5f5f7 --- /dev/null +++ b/arenaans.sh @@ -0,0 +1,6 @@ +python vllmarenaans.py --model target --judge athene --split 0 +python vllmarenaans.py --model target --judge deepseekcoder --split 0 +python vllmarenaans.py --model target --judge llama --split 0 +python vllmarenaans.py --model target --judge qwen --split 0 +python vllmarenaans.py --model target --judge qwq --split 0 +python /data/local/zhangdi/DPO/DPO_train.py diff --git a/battle.py b/battle.py new file mode 100644 index 0000000000000000000000000000000000000000..a5897d9e11e6e35ab71d879fde52f688cf44911d --- /dev/null +++ b/battle.py @@ -0,0 +1,55 @@ +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams +import argparse +import json +from tqdm import tqdm + +parser = argparse.ArgumentParser() +parser.add_argument('--path', type=str,help='模型路径') +parser.add_argument('--start', type=int,help='开始') +parser.add_argument('--end', type=int,help='终止') +args = parser.parse_args() + +name = args.path[args.path.rfind('/')+1:] + +fw = open(f"alignment-handbook/data/llama_battle_mistral_qwen_{args.start}_{args.end}.json", 'w+') + +prompts = [] + + +# Initialize the tokenizer +tokenizer = AutoTokenizer.from_pretrained(args.path, trust_remote_code=True) +f1 = open("alignment-handbook/data/llama_python_mistral_answer_0_70000_sft.json", "r+") +f2 = open("alignment-handbook/data/llama_python_qwen_answer_0_70000_sft.json", "r+") +lines1 = f1.readlines()[args.start:args.end] +lines2 = f2.readlines()[args.start:args.end] +t = 0 +for line1, line2 in zip(lines1, lines2): + d1 = json.loads(line1) + d2 = json.loads(line2) + instruction = d1["messages"][0]["content"] + answer1 = d1["messages"][1]["content"] + answer2 = d2["messages"][1]["content"] + #print(answer1) + #print(answer2) + if t%2 == 0: + prompt = f"This is a chatbot arena. You will be given assistant A’s answer, and assistant B’s answer. Please act as an impartial judge and evaluate the capability of two AI assistants. You should choose the assistant that follows instructions and answers questions better. Your evaluation should consider factors such as helpfulness, relevance, and accuracy. Begin your evaluation by comparing the responses of the two assistants and provide a short explanation. Avoid any position biases and ensure that the order in which the responses were presented does not influence your decision. DO NOT allow the LENGTH of the responses to influence your evaluation, choose the one that is straight-to-the-point instead of unnecessarily verbose. When the two candidates perform equally well, choose the SHORTER answer. Do not favor certain names of the assistants. Be as objective as possible. After providing your explanation concisely within 200 words, output your final verdict by strictly following this format: “[[A]]” if assistant A is better, “[[B]]” if assistant B is better, and “[[Tie]]” for a tie. Finish your judgement within 300 words.\n\n[User Question]\n{instruction}\n\n[The Start of Assistant A’s Answer]\n{answer1}\n[The End of Assistant A’s Answer]\n\n[The Start of Assistant B’s Answer]\n{answer2}\n[The End of Assistant B’s Answer]" + else: + prompt = f"This is a chatbot arena. You will be given assistant A’s answer, and assistant B’s answer. Please act as an impartial judge and evaluate the capability of two AI assistants. You should choose the assistant that follows instructions and answers questions better. Your evaluation should consider factors such as helpfulness, relevance, and accuracy. Begin your evaluation by comparing the responses of the two assistants and provide a short explanation. Avoid any position biases and ensure that the order in which the responses were presented does not influence your decision. DO NOT allow the LENGTH of the responses to influence your evaluation, choose the one that is straight-to-the-point instead of unnecessarily verbose. When the two candidates perform equally well, choose the SHORTER answer. Do not favor certain names of the assistants. Be as objective as possible. After providing your explanation concisely within 200 words, output your final verdict by strictly following this format: “[[A]]” if assistant A is better, “[[B]]” if assistant B is better, and “[[Tie]]” for a tie. Finish your judgement within 300 words.\n\n[User Question]\n{instruction}\n\n[The Start of Assistant A’s Answer]\n{answer2}\n[The End of Assistant A’s Answer]\n\n[The Start of Assistant B’s Answer]\n{answer1}\n[The End of Assistant B’s Answer]" + messages = [{"role": "user", "content": prompt}] + text = tokenizer.apply_chat_template( + messages, + tokenize=False + ) + prompts.append(text) + t = t + 1 + +# Input the model name or path. Can be GPTQ or AWQ models. +llm = LLM(args.path, dtype="float16", tensor_parallel_size=8, trust_remote_code=True, max_model_len=8192, enforce_eager=True) +sampling_params = SamplingParams(temperature=1.0, top_p=0.995, max_tokens=8192) +outputs = llm.generate(prompts=prompts, sampling_params=sampling_params) +t = 0 +for output in outputs: + d = {"arena": output.outputs[0].text, "t": t} + t = t + 1 + fw.write(json.dumps(d)+"\n") diff --git a/battle.sh b/battle.sh new file mode 100644 index 0000000000000000000000000000000000000000..c2c48d2b56780ddebcb9ca1deeacaff004adaba0 --- /dev/null +++ b/battle.sh @@ -0,0 +1,21 @@ +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/athene --model /home/aiscuser/fhw/model_weights/deepseekcoder +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/athene --model /home/aiscuser/fhw/model_weights/llama +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/athene --model /home/aiscuser/fhw/model_weights/qwen +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/athene --model /home/aiscuser/fhw/model_weights/qwq +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/deepseekcoder --model /home/aiscuser/fhw/model_weights/athene +python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/deepseekcoder --model /home/aiscuser/fhw/model_weights/llama +python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/deepseekcoder --model /home/aiscuser/fhw/model_weights/qwen +python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/deepseekcoder --model /home/aiscuser/fhw/model_weights/qwq +python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/llama --model /home/aiscuser/fhw/model_weights/athene +python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/llama --model /home/aiscuser/fhw/model_weights/deepseekcoder +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/llama --model /home/aiscuser/fhw/model_weights/qwen +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/llama --model /home/aiscuser/fhw/model_weights/qwq +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/qwen --model /home/aiscuser/fhw/model_weights/athene +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/qwen --model /home/aiscuser/fhw/model_weights/deepseekcoder +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/qwen --model /home/aiscuser/fhw/model_weights/llama +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/qwen --model /home/aiscuser/fhw/model_weights/qwq +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/qwq --model /home/aiscuser/fhw/model_weights/athene +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/qwq --model /home/aiscuser/fhw/model_weights/deepseekcoder +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/qwq --model /home/aiscuser/fhw/model_weights/llama +#python vllmbattle.py --judge /home/aiscuser/fhw/model_weights/qwq --model /home/aiscuser/fhw/model_weights/qwen +python /data/local/zhangdi/DPO/DPO_train.py diff --git a/battlescore.py b/battlescore.py new file mode 100644 index 0000000000000000000000000000000000000000..b112a97bc6c5cf9cd6922cb96650466fcbf2013e --- /dev/null +++ b/battlescore.py @@ -0,0 +1,105 @@ +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams +import argparse +import json +from tqdm import tqdm +import re +def extract_score(judgement): + d = {} + extracted = re.findall(r"\[\[(\d*\.\d+|\d+)/10\]\]", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + return int(d["score"]) + extracted = re.findall(r"\[\[(\d*\.\d+|\d+)\]\]", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + return int(d["score"]) + extracted = re.findall(r"\*\*Score: \[(\d*\.\d+|\d+)/10\]\*\*", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + return int(d["score"]) + extracted = re.findall(r"\*\*Score: \[(\d*\.\d+|\d+)\]\*\*", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + return int(d["score"]) + extracted = re.findall(r"\*\*Score: (\d*\.\d+|\d+)/10\*\*", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + return int(d["score"]) + extracted = re.findall(r"\*\*Score: (\d*\.\d+|\d+)\*\*", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + return int(d["score"]) + extracted = re.findall(r"\*\*Score:\*\* (\d*\.\d+|\d+)/10", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + return int(d["score"]) + extracted = re.findall(r"\*\*Score:\*\* (\d*\.\d+|\d+)", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + return int(d["score"]) + extracted = re.findall(r"Score(.*?)", judgement, re.S) + if len(extracted) > 0: + judgement = extracted[-1] + extracted = re.findall(r"\d*\.\d+|\d+", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + return int(d["score"]) + return -1 +parser = argparse.ArgumentParser() +parser.add_argument('--judgename', type=str,help='模型路径') +parser.add_argument('--modelnames', nargs='+') +args = parser.parse_args() + +f = open(f"/home/aiscuser/fhw/data/{args.judgename}_filtered_by_answer.json", "r+") +ddd = json.loads(f.readlines()[0]) + +fr = open(f"/home/aiscuser/fhw/data/{args.judgename}_answerby_{args.judgename}.json", 'r+') +linesr = fr.readlines() + +all_lines = [] +for modelname in args.modelnames: + f = open(f"/home/aiscuser/fhw/data/{args.judgename}_judge_{modelname}.json", 'r+') + all_lines.append(f.readlines()) + + +a, b, c, d = 0, 0, 0, 0 + +fw = open(f"/home/aiscuser/fhw/data/{args.judgename}_with_best_answer.json", "w+") + +for i in tqdm(ddd[args.judgename]): + reference = json.loads(linesr[i]) + da = json.loads(all_lines[0][a]) if a6: + bestname = args.modelnames[maxindex] + bestanswer = [da, db, dc, dd][maxindex]["response"] + else: + bestname = args.judgename + bestanswer = reference["response"] + fw.write(json.dumps({"instruction": instruction, "scorelist": scorelist, "bestname": bestname, "bestanswer": bestanswer, "modelnames": args.modelnames, "judgename": args.judgename})+"\n") + + diff --git a/bertencode.py b/bertencode.py new file mode 100644 index 0000000000000000000000000000000000000000..79852f3d523d5fc58494706f4dfc619d6942997c --- /dev/null +++ b/bertencode.py @@ -0,0 +1,40 @@ +""" +This example starts multiple processes (1 per GPU), which encode +sentences in parallel. This gives a near linear speed-up +when encoding large text collections. +""" +from tqdm import tqdm +import logging +import json +import torch +from sentence_transformers import LoggingHandler, SentenceTransformer + +logging.basicConfig( + format="%(asctime)s - %(message)s", datefmt="%Y-%m-%d %H:%M:%S", level=logging.INFO, handlers=[LoggingHandler()] +) + +# Important, you need to shield your code with if __name__. Otherwise, CUDA runs into issues when spawning new processes. +if __name__ == "__main__": + # Create a large list of 100k sentences + f = open("/home/aiscuser/fhw/data/qwq_python_selected.json","r+") + lines = f.readlines() + sentences = [] + for line in tqdm(lines): + d= json.loads(line) + sentences.append(d["instruction"]) + + + # Define the model + model = SentenceTransformer("/home/aiscuser/fhw/model_weights/all-roberta-large-v1") + + # Start the multi-process pool on all available CUDA devices + pool = model.start_multi_process_pool(["cuda:0", "cuda:0", "cuda:0", "cuda:0", "cuda:0", "cuda:0", "cuda:0", "cuda:0", "cuda:0", "cuda:0", "cuda:1", "cuda:1", "cuda:1", "cuda:1", "cuda:1", "cuda:1", "cuda:1", "cuda:1", "cuda:1", "cuda:1", "cuda:2", "cuda:2", "cuda:2", "cuda:2", "cuda:2", "cuda:2", "cuda:2", "cuda:2", "cuda:2", "cuda:2", "cuda:3", "cuda:3", "cuda:3", "cuda:3", "cuda:3", "cuda:3", "cuda:3", "cuda:3", "cuda:3", "cuda:3", "cuda:4", "cuda:4", "cuda:4", "cuda:4", "cuda:4", "cuda:4", "cuda:4", "cuda:4", "cuda:4", "cuda:4", "cuda:5", "cuda:5", "cuda:5", "cuda:5", "cuda:5", "cuda:5", "cuda:5", "cuda:5", "cuda:5", "cuda:5", "cuda:6", "cuda:6", "cuda:6", "cuda:6", "cuda:6", "cuda:6", "cuda:6", "cuda:6", "cuda:6", "cuda:6", "cuda:7", "cuda:7", "cuda:7", "cuda:7", "cuda:7", "cuda:7", "cuda:7", "cuda:7", "cuda:7", "cuda:7", ]) + + # Compute the embeddings using the multi-process pool + emb = model.encode_multi_process(sentences, pool) + + print("Embeddings computed. Shape:", emb.shape) + + # Optional: Stop the processes in the pool + model.stop_multi_process_pool(pool) + torch.save(emb, "/home/aiscuser/fhw/embeddings/qwq_ins_embeddings.pt", pickle_protocol=4) diff --git a/cleanans.py b/cleanans.py new file mode 100644 index 0000000000000000000000000000000000000000..82cca36bc9e1c71337019fdcb20165ac1f9ab63b --- /dev/null +++ b/cleanans.py @@ -0,0 +1,10 @@ +from tqdm import tqdm +import json +f = open("/home/aiscuser/fhw/data/all_instruct_with_answers.json", "r+") +fw = open("/home/aiscuser/fhw/data/all_instruct_with_answers_cleaned.json", "w+") + +lines = f.readlines() +for line in lines: + d = json.loads(line) + d["bestanswer"] = d["bestanswer"].strip("<|start_header_id|>assistant<|end_header_id|>").strip("\n") + fw.write(json.dumps(d)+"\n") \ No newline at end of file diff --git a/cloudgpt-apim-token-cache.bin b/cloudgpt-apim-token-cache.bin new file mode 100644 index 0000000000000000000000000000000000000000..28bf6b0eaff6d86710889ff16344c4b6a93a392a --- /dev/null +++ b/cloudgpt-apim-token-cache.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fc1dedc3209b111ca9ac7676ffad159ce9bff625b0980c4897653414b796f3aa +size 300 diff --git a/cloudgpt_aoai.py b/cloudgpt_aoai.py new file mode 100644 index 0000000000000000000000000000000000000000..8d92e1b28496bbc6b5e8414be8f04e2e40f52d63 --- /dev/null +++ b/cloudgpt_aoai.py @@ -0,0 +1,619 @@ +from __future__ import annotations +from typing import ( + Any, + AsyncGenerator, + Callable, + Coroutine, + Literal, + Optional, + ParamSpec, + TypeVar, + cast, + Dict, + TYPE_CHECKING, +) +import sys, os +import contextlib +import functools + +__all__ = [ + "get_openai_token_provider", + "get_openai_token", + "get_openai_client", + "get_chat_completion", + "encode_image", + "cloudgpt_available_models", +] + +TokenProvider = Callable[[], str] +AsyncTokenProvider = Callable[[], Coroutine[Any, Any, str]] + + +def check_module(): + try: + import openai, azure.identity.broker # type: ignore + + del openai, azure.identity.broker + except ImportError: + print("Please install the required packages by running the following command:") + print("pip install openai azure-identity-broker --upgrade") + exit(1) + + +check_module() + +import openai +from openai import OpenAI + +_depRt = TypeVar("_depRt") +_depParam = ParamSpec("_depParam") + + +def _deprecated(message: str): + def deprecated_decorator( + func: Callable[_depParam, _depRt] + ) -> Callable[_depParam, _depRt]: + def deprecated_func( + *args: _depParam.args, **kwargs: _depParam.kwargs + ) -> _depRt: + import traceback + + print( + "\n ⚠️ \x1b[31m{} is a deprecated function. {}".format( + func.__name__, message + ) + ) + traceback.print_stack() + print("\x1b[0m") + return func(*args, **kwargs) + + return deprecated_func + + return deprecated_decorator + + +def _validate_token(token: str) -> bool: + import requests + + url = "https://cloudgpt-openai.azure-api.net/openai/ping" + + headers = { + "Authorization": f"Bearer {token}", + } + try: + response = requests.get(url, headers=headers) + assert response.status_code == 200 and response.text == "OK", response.text + return True + except Exception as e: + print("Failed to validate token", e) + return False + + +@functools.lru_cache(maxsize=3) +def get_openai_token_provider( + token_cache_file: str = "cloudgpt-apim-token-cache.bin", + client_id: Optional[str] = None, + client_secret: Optional[str] = None, + use_azure_cli: Optional[bool] = None, + use_broker_login: Optional[bool] = None, + use_managed_identity: Optional[bool] = None, + use_device_code: Optional[bool] = None, + skip_access_validation: Optional[bool] = False, + **kwargs: Any, +) -> TokenProvider: + """ + Get a token provider function that could return a valid access token for CloudGPT OpenAI. + + The return value is a function that should be used with AzureOpenAIClient constructor as azure_ad_token_provider parameter. + The following code snippet shows how to use it with AzureOpenAIClient: + + ```python + token_provider = get_openai_token_provider() + client = openai.AzureOpenAI( + api_version="2024-06-01", + azure_endpoint="https://cloudgpt-openai.azure-api.net/", + azure_ad_token_provider=token_provider, + ) + ``` + + Parameters + ---------- + token_cache_file : str, optional + path to the token cache file, by default 'cloudgpt-apim-token-cache.bin' in the current directory + client_id : Optional[str], optional + client id for AAD app, by default None + client_secret : Optional[str], optional + client secret for AAD app, by default None + use_azure_cli : Optional[bool], optional + use Azure CLI for authentication, by default None. If AzCli has been installed and logged in, + it will be used for authentication. This is recommended for headless environments and AzCLI takes + care of token cache and token refresh. + use_broker_login : Optional[bool], optional + use broker login for authentication, by default None. + If not specified, it will be enabled for known supported environments (e.g. Windows, macOS, WSL, VSCode), + but sometimes it may not always could cache the token for long-term usage. + In such cases, you can disable it by setting it to False. + use_managed_identity : Optional[bool], optional + use managed identity for authentication, by default None. + If not specified, it will use user assigned managed identity if client_id is specified, + For use system assigned managed identity, client_id could be None but need to set use_managed_identity to True. + use_device_code : Optional[bool], optional + use device code for authentication, by default None. If not specified, it will use interactive login on supported platform. + skip_access_validation : Optional[bool], optional + skip access token validation, by default False. + + Returns + ------- + TokenProvider + the token provider function that could return a valid access token for CloudGPT OpenAI + """ + import shutil + from azure.identity.broker import InteractiveBrowserBrokerCredential + from azure.identity import ( + ManagedIdentityCredential, + ClientSecretCredential, + DeviceCodeCredential, + AuthenticationRecord, + AzureCliCredential, + ) + from azure.identity import TokenCachePersistenceOptions + import msal # type: ignore + + api_scope_base = "api://feb7b661-cac7-44a8-8dc1-163b63c23df2" + tenant_id = "72f988bf-86f1-41af-91ab-2d7cd011db47" + scope = api_scope_base + "/.default" + + token_cache_option = TokenCachePersistenceOptions( + name=token_cache_file, + enable_persistence=True, + allow_unencrypted_storage=True, + ) + + def save_auth_record(auth_record: AuthenticationRecord): + try: + with open(token_cache_file, "w") as cache_file: + cache_file.write(auth_record.serialize()) + except Exception as e: + print("failed to save auth record", e) + + def load_auth_record() -> Optional[AuthenticationRecord]: + try: + if not os.path.exists(token_cache_file): + return None + with open(token_cache_file, "r") as cache_file: + return AuthenticationRecord.deserialize(cache_file.read()) + except Exception as e: + print("failed to load auth record", e) + return None + + auth_record: Optional[AuthenticationRecord] = load_auth_record() + + current_auth_mode: Literal[ + "client_secret", + "managed_identity", + "az_cli", + "interactive", + "device_code", + "none", + ] = "none" + + implicit_mode = not ( + use_managed_identity or use_azure_cli or use_broker_login or use_device_code + ) + + if use_managed_identity or (implicit_mode and client_id is not None): + if not use_managed_identity and client_secret is not None: + assert ( + client_id is not None + ), "client_id must be specified with client_secret" + current_auth_mode = "client_secret" + identity = ClientSecretCredential( + client_id=client_id, + client_secret=client_secret, + tenant_id=tenant_id, + cache_persistence_options=token_cache_option, + authentication_record=auth_record, + ) + else: + current_auth_mode = "managed_identity" + if client_id is None: + # using default managed identity + identity = ManagedIdentityCredential( + cache_persistence_options=token_cache_option, + ) + else: + identity = ManagedIdentityCredential( + client_id=client_id, + cache_persistence_options=token_cache_option, + ) + elif use_azure_cli or (implicit_mode and shutil.which("az") is not None): + current_auth_mode = "az_cli" + identity = AzureCliCredential(tenant_id=tenant_id) + else: + if implicit_mode: + # enable broker login for known supported envs if not specified using use_device_code + if sys.platform.startswith("darwin") or sys.platform.startswith("win32"): + use_broker_login = True + elif os.environ.get("WSL_DISTRO_NAME", "") != "": + use_broker_login = True + elif os.environ.get("TERM_PROGRAM", "") == "vscode": + use_broker_login = True + else: + use_broker_login = False + if use_broker_login: + current_auth_mode = "interactive" + identity = InteractiveBrowserBrokerCredential( + tenant_id="72f988bf-86f1-41af-91ab-2d7cd011db47", + cache_persistence_options=token_cache_option, + use_default_broker_account=True, + parent_window_handle=msal.PublicClientApplication.CONSOLE_WINDOW_HANDLE, + authentication_record=auth_record, + ) + else: + current_auth_mode = "device_code" + identity = DeviceCodeCredential( + tenant_id="72f988bf-86f1-41af-91ab-2d7cd011db47", + cache_persistence_options=token_cache_option, + authentication_record=auth_record, + ) + + try: + auth_record = identity.authenticate(scopes=[scope]) + if auth_record: + save_auth_record(auth_record) + + except Exception as e: + print( + f"failed to acquire token from AAD for CloudGPT OpenAI using {current_auth_mode}", + e, + ) + raise e + + try: + from azure.identity import get_bearer_token_provider + + token_provider = get_bearer_token_provider(identity, scope) + token_verified_cache: str = "" + + def token_provider_wrapper(): + nonlocal token_verified_cache + token = token_provider() + if token != token_verified_cache: + if not skip_access_validation: + assert _validate_token(token), "failed to validate token" + token_verified_cache = token + return token + + return token_provider_wrapper + except Exception as e: + print("failed to acquire token from AAD for CloudGPT OpenAI", e) + raise e + + +@functools.lru_cache(maxsize=3) +async def async_get_openai_token_provider( + **kwargs: Any, +) -> AsyncTokenProvider: + # TODO: implement async version of get_openai_token_provider + token_provider = get_openai_token_provider( + **kwargs, + ) + + async def async_token_provider() -> str: + return token_provider() + + return async_token_provider + + +@_deprecated( + "use get_openai_token_provider instead whenever possible " + "and use it as the azure_ad_token_provider parameter in AzureOpenAIClient constructor. " + "Please do not acquire token directly or use it elsewhere." +) +def get_openai_token( + token_cache_file: str = "cloudgpt-apim-token-cache.bin", + client_id: Optional[str] = None, + client_secret: Optional[str] = None, + use_azure_cli: Optional[bool] = None, + use_broker_login: Optional[bool] = None, + use_managed_identity: Optional[bool] = None, + use_device_code: Optional[bool] = None, + skip_access_validation: Optional[bool] = False, + **kwargs: Any, +) -> str: + """ + get access token for CloudGPT OpenAI + """ + return get_openai_token_provider( + token_cache_file=token_cache_file, + client_id=client_id, + client_secret=client_secret, + use_azure_cli=use_azure_cli, + use_broker_login=use_broker_login, + use_managed_identity=use_managed_identity, + use_device_code=use_device_code, + skip_access_validation=skip_access_validation, + **kwargs, + )() + + +""" +Available models for CloudGPT OpenAI +""" +cloudgpt_available_models = Literal[ + "gpt-35-turbo-20220309", + "gpt-35-turbo-16k-20230613", + "gpt-35-turbo-20230613", + "gpt-35-turbo-1106", + "gpt-4-20230321", + "gpt-4-20230613", + "gpt-4-32k-20230321", + "gpt-4-32k-20230613", + "gpt-4-1106-preview", + "gpt-4-0125-preview", + "gpt-4-visual-preview", + "gpt-4-turbo-20240409", + "gpt-4o-20240513", + "gpt-4o-20240806", + "gpt-4o-mini-20240718", +] + +cloudgpt_available_realtime_models = Literal["gpt-4o-realtime-preview-20241001"] + + +def encode_image(image_path: str, mime_type: Optional[str] = None) -> str: + """ + Utility function to encode image to base64 for using in OpenAI API + + Parameters + ---------- + image_path : str + path to the image file + + mime_type : Optional[str], optional + mime type of the image, by default None and will infer from the file extension if possible + + Returns + ------- + str + base64 encoded image url + """ + import base64 + import mimetypes + + file_name = os.path.basename(image_path) + mime_type = cast( + Optional[str], + mime_type if mime_type is not None else mimetypes.guess_type(file_name)[0], # type: ignore + ) + with open(image_path, "rb") as image_file: + encoded_image = base64.b64encode(image_file.read()).decode("ascii") + + if mime_type is None or not mime_type.startswith("image/"): + print( + "Warning: mime_type is not specified or not an image mime type. Defaulting to png." + ) + mime_type = "image/png" + + image_url = f"data:{mime_type};base64," + encoded_image + return image_url + + +@functools.lru_cache(maxsize=3) +def get_openai_client( + client_id: Optional[str] = None, + client_secret: Optional[str] = None, + use_azure_cli: Optional[bool] = None, + use_broker_login: Optional[bool] = None, + use_managed_identity: Optional[bool] = None, + use_device_code: Optional[bool] = None, +) -> OpenAI: + """ + Initialize OpenAI client for CloudGPT OpenAI. + + All parameters are optional and will use the default authentication method if not specified. + + Parameters + ---------- + client_id : Optional[str], optional + client id for AAD app, by default None + client_secret : Optional[str], optional + client secret for AAD app, by default None + use_azure_cli : Optional[bool], optional + use Azure CLI for authentication, by default None. If AzCli has been installed and logged in, + it will be used for authentication. This is recommended for headless environments and AzCLI takes + care of token cache and token refresh. + use_broker_login : Optional[bool], optional + use broker login for authentication, by default None. + If not specified, it will be enabled for known supported environments (e.g. Windows, macOS, WSL, VSCode), + but sometimes it may not always could cache the token for long-term usage. + In such cases, you can disable it by setting it to False. + use_managed_identity : Optional[bool], optional + use managed identity for authentication, by default None. + If not specified, it will use user assigned managed identity if client_id is specified, + For use system assigned managed identity, client_id could be None but need to set use_managed_identity to True. + use_device_code : Optional[bool], optional + use device code for authentication, by default None. If not specified, it will use interactive login on supported platform. + + Returns + ------- + OpenAI + OpenAI client for CloudGPT OpenAI. Check https://github.com/openai/openai-python for more details. + """ + token_provider = get_openai_token_provider( + client_id=client_id, + client_secret=client_secret, + use_azure_cli=use_azure_cli, + use_broker_login=use_broker_login, + use_managed_identity=use_managed_identity, + use_device_code=use_device_code, + ) + print(token_provider()) + client = openai.AzureOpenAI( + api_version="2024-06-01", + azure_endpoint="https://cloudgpt-openai.azure-api.net/", + azure_ad_token_provider=token_provider, + ) + return client + + +def get_chat_completion( + model: Optional[cloudgpt_available_models] = None, + client_id: Optional[str] = None, + client_secret: Optional[str] = None, + use_azure_cli: Optional[bool] = None, + use_broker_login: Optional[bool] = None, + use_managed_identity: Optional[bool] = None, + use_device_code: Optional[bool] = None, + **kwargs: Any, +): + """ + Helper function to get chat completion from OpenAI API + """ + + engine: Optional[str] = kwargs.get("engine") + + model_name: Any = model + if model_name is None: + if engine is None: + raise ValueError("model name must be specified by 'model' parameter") + model_name = engine + + if "engine" in kwargs: + del kwargs["engine"] + + client = get_openai_client( + client_id=client_id, + client_secret=client_secret, + use_azure_cli=use_azure_cli, + use_broker_login=use_broker_login, + use_managed_identity=use_managed_identity, + use_device_code=use_device_code, + ) + + response: Any = client.completions.create(model=model_name, **kwargs) + + return response + + +def _check_rtclient(): + try: + import rtclient # type: ignore + + del rtclient + except ImportError: + raise ImportError( + f"rtclient package is required when using realtime API`. Please install it by running \n" + "pip install https://github.com/Azure-Samples/aoai-realtime-audio-sdk/releases/download/py%2Fv0.5.1/rtclient-0.5.1-py3-none-any.whl" + ) + return True + + +if TYPE_CHECKING: + from rtclient import RTClient, RTLowLevelClient + + +async def get_realtime_low_level_client( + model: cloudgpt_available_realtime_models = "gpt-4o-realtime-preview-20241001", + **kwargs: Any, +) -> RTLowLevelClient: + """ + Get realtime client with low level API for fined grained control + + Usage: + ```python + async with await get_realtime_low_level_client() as client: + # use client + pass + ``` + """ + assert _check_rtclient() + from rtclient import RTLowLevelClient + + class CloudGPT_AOAI_RTLowLevelClient(RTLowLevelClient): + def __init__( + self, + token_provider: AsyncTokenProvider, + url: str = "https://cloudgpt-openai.azure-api.net/", + azure_deployment: cloudgpt_available_realtime_models | None = None, + ): + self._async_token_provider = token_provider + + from azure.core.credentials import AzureKeyCredential + + key_credential = AzureKeyCredential("placeholder") + + super().__init__( + url=url, + key_credential=key_credential, + azure_deployment=azure_deployment, + ) + + async def _get_auth(self) -> Dict[str, str]: + token = await self._async_token_provider() + return {"Authorization": f"Bearer {token}"} + + token_provider = await async_get_openai_token_provider(**kwargs) + return CloudGPT_AOAI_RTLowLevelClient( + token_provider=token_provider, + azure_deployment=model, + ) + + +async def get_realtime_client( + model: cloudgpt_available_realtime_models = "gpt-4o-realtime-preview-20241001", + **kwargs: Any, +) -> RTClient: + """ + Get realtime client with high level API for simplified usage + + Usage: + ```python + async with await get_realtime_client() as client: + # use client + pass + ``` + """ + assert _check_rtclient() + from rtclient import RTClient, MessageQueueWithError, Session + + class CloudGPT_AOAI_RTClient(RTClient): + def __init__( + self, + low_level_client: Optional[RTLowLevelClient] = None, + ): + self._client = low_level_client + + self._message_queue = MessageQueueWithError( + receive_delegate=self._receive_message, + error_predicate=lambda m: m is not None and (m.type == "error"), + ) + + self.session: Optional[Session] = None + + self._response_map: dict[str, str] = {} + + low_level_client = await get_realtime_low_level_client(model=model, **kwargs) + return CloudGPT_AOAI_RTClient(low_level_client=low_level_client) + + +def _test_call(**kwargs: Any): + test_message = "What is the content?" + + client = get_openai_client(**kwargs) + + response = client.chat.completions.create( + model="gpt-4o-mini-20240718", + messages=[{"role": "user", "content": test_message}], + temperature=0.7, + max_tokens=100, + top_p=0.95, + frequency_penalty=0, + presence_penalty=0, + ) + + print(response.choices[0].message) + + +if __name__ == "__main__": + _test_call(use_broker_login=True) diff --git a/combine.py b/combine.py new file mode 100644 index 0000000000000000000000000000000000000000..a943660332b8b2ada124e83c9232d29941d8c533 --- /dev/null +++ b/combine.py @@ -0,0 +1,11 @@ +import json +import os +names = os.listdir("/home/aiscuser/fhw/data") +lines = [] +for name in names: + if "_with_best_answer" in name: + f = open(f"/home/aiscuser/fhw/data/{name}", "r+") + lines.extend(f.readlines()) +fw = open("/home/aiscuser/fhw/data/all_instruct_with_answers.json", "w+") +for line in lines: + fw.write(line) diff --git a/config_sft_fhw.yaml b/config_sft_fhw.yaml new file mode 100644 index 0000000000000000000000000000000000000000..cf4cbfe1b183f329d9ee8ecd8b81d4f706a3b43c --- /dev/null +++ b/config_sft_fhw.yaml @@ -0,0 +1,41 @@ +# Model arguments +model_name_or_path: mistralai/Mistral-7B-v0.1 +model_revision: main +torch_dtype: bfloat16 +attn_implementation: flash_attention_2 + +# Data training arguments +chat_template: "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set ns.found = true -%}\n {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{% if add_generation_prompt %}\n{{'### Response:'}}\n{% endif %}" +dataset_mixer: + data/my: 1.0 +dataset_splits: +- train +preprocessing_num_workers: 128 + +# SFT trainer config +bf16: true +do_eval: False +eval_strategy: epoch +gradient_accumulation_steps: 1 +gradient_checkpointing: true +gradient_checkpointing_kwargs: + use_reentrant: False +learning_rate: 1.0e-05 +log_level: info +logging_steps: 5 +logging_strategy: steps +lr_scheduler_type: cosine +max_seq_length: 4096 +num_train_epochs: 3 +output_dir: trained_models/deepseekcoder +overwrite_output_dir: true +per_device_eval_batch_size: 8 +per_device_train_batch_size: 8 +push_to_hub: true +remove_unused_columns: true +report_to: +- tensorboard +save_strategy: "epoch" +save_total_limit: 5 +seed: 42 +warmup_ratio: 0.1 \ No newline at end of file diff --git a/crux.sh b/crux.sh new file mode 100644 index 0000000000000000000000000000000000000000..6c0872582145672158f62e327e32278bda13f8ba --- /dev/null +++ b/crux.sh @@ -0,0 +1,87 @@ +python main.py \ + --model /home/aiscuser/fhw/model_weights/warriordeep448/ \ + --trust_remote_code \ + --tasks output_prediction \ + --batch_size 20 \ + --n_samples 10 \ + --max_length_generation 4096 \ + --precision fp16 \ + --temperature 0.8 \ + --save_generations \ + --save_generations_path model_generations_raw/warriordeep448_temp0.8_output/shard_0.json \ + --shuffle \ + --tensor_parallel_size 8 + +python main.py \ + --model /home/aiscuser/fhw/model_weights/warriordeep448/ \ + --trust_remote_code \ + --tasks output_prediction \ + --batch_size 20 \ + --n_samples 10 \ + --max_length_generation 4096 \ + --precision fp16 \ + --temperature 0.2 \ + --save_generations \ + --save_generations_path model_generations_raw/warriordeep448_temp0.2_output/shard_0.json \ + --shuffle \ + --tensor_parallel_size 8 + +python main.py \ + --model /home/aiscuser/fhw/model_weights/warriordeep448/ \ + --trust_remote_code \ + --tasks output_prediction \ + --batch_size 20 \ + --n_samples 10 \ + --max_length_generation 4096 \ + --precision fp16 \ + --temperature 0.8 \ + --save_generations \ + --save_generations_path model_generations_raw/warriordeep448+cot_temp0.8_output/shard_0.json \ + --cot \ + --shuffle \ + --tensor_parallel_size 8 + +python main.py \ + --model /home/aiscuser/fhw/model_weights/warriordeep448/ \ + --trust_remote_code \ + --tasks output_prediction \ + --batch_size 20 \ + --n_samples 10 \ + --max_length_generation 4096 \ + --precision fp16 \ + --temperature 0.2 \ + --save_generations \ + --save_generations_path model_generations_raw/warriordeep448+cot_temp0.2_output/shard_0.json \ + --cot \ + --shuffle \ + --tensor_parallel_size 8 + +python main.py \ + --model /home/aiscuser/fhw/model_weights/warriordeep448/ \ + --trust_remote_code \ + --tasks input_prediction \ + --batch_size 20 \ + --n_samples 10 \ + --max_length_generation 4096 \ + --precision fp16 \ + --temperature 0.8 \ + --save_generations \ + --save_generations_path model_generations_raw/warriordeep448+cot_temp0.8_input/shard_0.json \ + --cot \ + --shuffle \ + --tensor_parallel_size 8 + +python main.py \ + --model /home/aiscuser/fhw/model_weights/warriordeep448/ \ + --trust_remote_code \ + --tasks input_prediction \ + --batch_size 20 \ + --n_samples 10 \ + --max_length_generation 4096 \ + --precision fp16 \ + --temperature 0.2 \ + --save_generations \ + --save_generations_path model_generations_raw/warriordeep448+cot_temp0.2_input/shard_0.json \ + --cot \ + --shuffle \ + --tensor_parallel_size 8 diff --git a/evalplus/.dockerignore b/evalplus/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..f34f9f50fa2b228888d5e33804f8451fe5838ee6 --- /dev/null +++ b/evalplus/.dockerignore @@ -0,0 +1,182 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +# nuclear option because steven uses PyCharm. +.idea/ + +# VSCode +.vscode/ + +# EvalPlus specific +EvalPlus/ +backup/ +passrate.p* +min_cov_dir/ +HumanEvalPlus*.gz +MbppPlus*.gz +evalplus/_version.py +*mbpp.json +*.jsonl +*.json +*.png +*.pdf +trash-bin +.bak +evalplus.github.io +evalplus_results/ diff --git a/evalplus/.github/ISSUE_TEMPLATE/buggy_contract.yml b/evalplus/.github/ISSUE_TEMPLATE/buggy_contract.yml new file mode 100644 index 0000000000000000000000000000000000000000..78c03cc48133fbc588353a0b6eda20a45f75f31e --- /dev/null +++ b/evalplus/.github/ISSUE_TEMPLATE/buggy_contract.yml @@ -0,0 +1,48 @@ +name: "🐛 Report Bad Contract" +description: Report to us that certain program contract should be repaired. +title: "🐛 [TestRemoval] - " +labels: ["program contract"] +body: + - type: input + id: version + attributes: + label: "EvalPlus version" + description: What is the version of EvalPlus? You can find it by running `pip show evalplus`. + placeholder: For example, 0.1.0 + validations: + required: true + - type: input + id: cache + attributes: + label: "Output of running `ls ~/.cache/evalplus`" + validations: + required: true + - type: input + id: task_id + attributes: + label: "Task ID of the programming task" + placeholder: HumanEval/[??] + validations: + required: true + - type: textarea + id: original + attributes: + label: "The original wrong contract" + description: You can run `python -c "from evalplus.data import get_human_eval_plus; print(get_human_eval_plus()['HumanEval/❓']['contract'])"` + render: python + validations: + required: true + - type: textarea + id: new + attributes: + label: "Your proposed new contract" + render: python + validations: + required: true + - type: textarea + id: other + attributes: + label: "Other context" + description: (Optional) Anything else the maintainer should notice? + validations: + required: false diff --git a/evalplus/.github/ISSUE_TEMPLATE/buggy_test.yml b/evalplus/.github/ISSUE_TEMPLATE/buggy_test.yml new file mode 100644 index 0000000000000000000000000000000000000000..434a164712027282251b5416b5f87bd0087bdd7c --- /dev/null +++ b/evalplus/.github/ISSUE_TEMPLATE/buggy_test.yml @@ -0,0 +1,49 @@ +name: "🐛 Report Bad Test Inputs" +description: Report to us that certain test inputs should be removed. +title: "🐛 [TestRemoval] - " +labels: ["bug"] +body: + - type: input + id: version + attributes: + label: "EvalPlus version" + description: What is the version of EvalPlus? You can find it by running `pip show evalplus`. + placeholder: For example, 0.1.0 + validations: + required: true + - type: input + id: cache + attributes: + label: "Output of running `ls ~/.cache/evalplus`" + validations: + required: true + - type: input + id: task_id + attributes: + label: "Task ID of the programming task" + placeholder: HumanEval/[??] + validations: + required: true + - type: textarea + id: test_input + attributes: + label: "Test input" + description: The text form of the test input that you think should be removed + render: python + validations: + required: true + - type: textarea + id: description + attributes: + label: "Description" + description: An explicit description of why you think this test should be removed + placeholder: Here is a correct solution but it is incorrectly falsified by the test because ... + validations: + required: true + - type: textarea + id: other + attributes: + label: "Other context" + description: (Optional) Anything else the maintainer should notice? + validations: + required: false diff --git a/evalplus/.github/ISSUE_TEMPLATE/config.yml b/evalplus/.github/ISSUE_TEMPLATE/config.yml new file mode 100644 index 0000000000000000000000000000000000000000..0086358db1eb971c0cfa8739c27518bbc18a5ff4 --- /dev/null +++ b/evalplus/.github/ISSUE_TEMPLATE/config.yml @@ -0,0 +1 @@ +blank_issues_enabled: true diff --git a/evalplus/.github/ISSUE_TEMPLATE/model_eval_request.yml b/evalplus/.github/ISSUE_TEMPLATE/model_eval_request.yml new file mode 100644 index 0000000000000000000000000000000000000000..b8ab94c0480441d3c7933ed039831db986b9d80c --- /dev/null +++ b/evalplus/.github/ISSUE_TEMPLATE/model_eval_request.yml @@ -0,0 +1,73 @@ +name: "🤗 Model Evaluation Request" +description: Request EvalPlus maintainers to evaluate your model independently and update it on our leaderboard. +title: "🤗 [REQUEST] - FILL_THE_MODEL_NAME_HERE" +labels: ["model eval"] +body: + - type: textarea + id: about + attributes: + label: "Model introduction" + description: Provide a brief introduction to the model. + placeholder: The models is created by ... and is used for ... + validations: + required: true + - type: input + id: url + attributes: + label: "Model URL" + description: Indicate the URL (e.g., huggingface or other release pages) of the model + placeholder: https://huggingface.co/[???]/[???] + validations: + required: true + - type: textarea + id: other + attributes: + label: "Additional information (Optional)" + description: Special steps indicating how to run the model with preferably scripts/codes. + placeholder: What data type precision should be used? What is the minimal hardware requirement? Can it be accelerated by tools such as vLLM? + validations: + required: false + - type: textarea + id: decomtamination + attributes: + label: "Decontamination" + description: How does the authors avoid contamination for their training data? + placeholder: Please clarify the decontamination steps and quantify it, e.g., N-gram match of ground-truth code in the training dataset. + validations: + required: true + - type: dropdown + id: author + attributes: + label: "Author" + description: "Are you (one of) the author(s) of the model?" + multiple: false + options: + - "Yes" + - "No" + validations: + required: true + - type: dropdown + id: data + attributes: + label: "Data" + description: "Is the training/fine-tuning data available in public?" + multiple: false + options: + - "Yes (If so please specify in 'Additional information')" + - "No" + validations: + required: true + - type: checkboxes + id: security + attributes: + label: "Security" + options: + - label: "I confirm that the model is safe to run which is not designed to produce malicious code or content." + required: true + - type: checkboxes + id: integrity + attributes: + label: "Integrity" + options: + - label: "I confirm that the model comes from unique and original work and does not contain any plagiarism." + required: true diff --git a/evalplus/.gitignore b/evalplus/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..f34f9f50fa2b228888d5e33804f8451fe5838ee6 --- /dev/null +++ b/evalplus/.gitignore @@ -0,0 +1,182 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +# nuclear option because steven uses PyCharm. +.idea/ + +# VSCode +.vscode/ + +# EvalPlus specific +EvalPlus/ +backup/ +passrate.p* +min_cov_dir/ +HumanEvalPlus*.gz +MbppPlus*.gz +evalplus/_version.py +*mbpp.json +*.jsonl +*.json +*.png +*.pdf +trash-bin +.bak +evalplus.github.io +evalplus_results/ diff --git a/evalplus/.pre-commit-config.yaml b/evalplus/.pre-commit-config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c905eb07d7a82be01050be9f0092ec93823916eb --- /dev/null +++ b/evalplus/.pre-commit-config.yaml @@ -0,0 +1,20 @@ +repos: +- repo: https://github.com/pycqa/isort + rev: 5.12.0 + hooks: + - id: isort + name: isort (python) + args: ["--profile", "black"] +- repo: https://github.com/psf/black + rev: 22.6.0 + hooks: + - id: black +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.3.0 + hooks: + - id: check-yaml + - id: end-of-file-fixer + - id: trailing-whitespace +exclude: (?x)^( + groundtruth/.* + )$ diff --git a/evalplus/CITATION.cff b/evalplus/CITATION.cff new file mode 100644 index 0000000000000000000000000000000000000000..5823360fe58f1f900db54dafdfd9a0f270fac200 --- /dev/null +++ b/evalplus/CITATION.cff @@ -0,0 +1,25 @@ +cff-version: 1.2.0 +message: "If you use this work and love it, consider citing it as below \U0001F917" +title: EvalPlus +authors: + - family-names: EvalPlus Team +url: https://github.com/evalplus/evalplus +doi: https://doi.org/10.48550/arXiv.2305.01210 +date-released: 2023-05-01 +license: Apache-2.0 +preferred-citation: + type: article + title: "Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation" + authors: + - family-names: Liu + given-names: Jiawei + - family-names: Xia + given-names: Chunqiu Steven + - family-names: Wang + given-names: Yuyao + - family-names: Zhang + given-names: Lingming + year: 2023 + journal: "arXiv preprint arXiv:2305.01210" + doi: https://doi.org/10.48550/arXiv.2305.01210 + url: https://arxiv.org/abs/2305.01210 diff --git a/evalplus/Dockerfile b/evalplus/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..29356e79527ac2d3c221a74355234b4836a33366 --- /dev/null +++ b/evalplus/Dockerfile @@ -0,0 +1,19 @@ +# Better use newer Python as generated code can use new features +FROM python:3.11-slim + +# install git and c++ (required by cirronlib.cpp) +RUN apt-get update && apt-get install -y git g++ + +# upgrade to latest pip +RUN pip install --upgrade pip + +COPY . /evalplus + +RUN cd /evalplus && pip install ".[perf]" + +# Pre-install the dataset +RUN python3 -c "from evalplus.data import *; get_human_eval_plus(); get_mbpp_plus(); get_evalperf_data()" + +WORKDIR /app + +CMD ["bash"] diff --git a/evalplus/LICENSE b/evalplus/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..97b358ff02b6d6dd385db5157b070dc607ca6e45 --- /dev/null +++ b/evalplus/LICENSE @@ -0,0 +1,205 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + +------------------------------------------------------------------------------- +The files under "evalplus/eval/" additionally complies with the MIT License for +being built on OpenAI's HumanEval work. diff --git a/evalplus/MANIFEST.in b/evalplus/MANIFEST.in new file mode 100644 index 0000000000000000000000000000000000000000..1a2f76f763e816771756a21f2d4d4a999490e5ed --- /dev/null +++ b/evalplus/MANIFEST.in @@ -0,0 +1 @@ +exclude evalplus/_experimental/**/*.py diff --git a/evalplus/README.md b/evalplus/README.md new file mode 100644 index 0000000000000000000000000000000000000000..fce920806df4e347dc4ed8a426f901c24d3fdd67 --- /dev/null +++ b/evalplus/README.md @@ -0,0 +1,325 @@ +# `EvalPlus(📖) => 📚` + +

+ + + + + + +

+ +

+ 📙About • + 🔥Quick Start • + 🚀LLM Backends • + 📚Documents • + 📜Citation • + 🙏Acknowledgement +

+ +## 📢 News + +Who's using EvalPlus datasets? EvalPlus has been used by various LLM teams, including: + +* [Meta Llama 3.1 and 3.3](https://ai.meta.com/blog/meta-llama-3-1/) +* [Allen AI TÜLU 1/2/3](https://github.com/allenai/open-instruct/blob/main/docs/tulu1_tulu2.md#benchmark-based-eval) +* [Qwen2.5-Coder](https://qwenlm.github.io/blog/qwen2.5-coder-family/) +* [CodeQwen 1.5](https://qwenlm.github.io/blog/codeqwen1.5/) +* [DeepSeek-Coder V2](https://arxiv.org/pdf/2406.11931) +* [Qwen2](https://arxiv.org/pdf/2407.10671) +* [Snowflake Arctic](https://www.snowflake.com/en/data-cloud/arctic/) +* [StarCoder2](https://arxiv.org/pdf/2402.19173) +* [Magicoder](https://arxiv.org/pdf/2312.02120) +* [WizardCoder](https://arxiv.org/pdf/2306.08568) + +Below tracks the notable updates of EvalPlus: + +- **[2024-10-20 `v0.3.1`]**: EvalPlus `v0.3.1` is officially released! Highlights: *(i)* Code efficiency evaluation via EvalPerf, *(ii)* one command to run all: generation + post-processing + evaluation, *(iii)* support for more inference backends such as Google Gemini & Anthropic, etc. +- **[2024-06-09 pre `v0.3.0`]**: Improved ground-truth solutions for MBPP+ tasks (IDs: 459, 102, 559). Thanks to [EvalArena](https://github.com/crux-eval/eval-arena). +- **[2024-04-17 pre `v0.3.0`]**: MBPP+ is upgraded to `v0.2.0` by removing some broken tasks (399 -> 378 tasks). ~4pp pass@1 improvement could be expected. + +
Earlier news :: click to expand :: +
+ +- ([`v0.2.1`](https://github.com/evalplus/evalplus/releases/tag/v0.2.1)) You can use EvalPlus datasets via [bigcode-evaluation-harness](https://github.com/bigcode-project/bigcode-evaluation-harness)! HumanEval+ oracle fixes (32). +- ([`v0.2.0`](https://github.com/evalplus/evalplus/releases/tag/v0.2.0)) MBPP+ is released! HumanEval contract & input fixes (0/3/9/148/114/1/2/99/28/32/35/160). +- ([`v0.1.7`](https://github.com/evalplus/evalplus/releases/tag/v0.1.7)) [Leaderboard](https://evalplus.github.io/leaderboard.html) release; HumanEval+ contract and input fixes (32/166/126/6) +- ([`v0.1.6`](https://github.com/evalplus/evalplus/releases/tag/v0.1.6)) Configurable and by-default-conservative timeout settings; HumanEval+ contract & ground-truth fixes (129/148/75/53/0/3/9/140) +- ([`v0.1.5`](https://github.com/evalplus/evalplus/releases/tag/v0.1.5)) HumanEval+ mini is released for ultra-fast evaluation when you have too many samples! +- ([`v0.1.1`](https://github.com/evalplus/evalplus/releases/tag/v0.1.1)) Optimizing user experiences: evaluation speed, PyPI package, Docker, etc. +- ([`v0.1.0`](https://github.com/evalplus/evalplus/releases/tag/v0.1.0)) HumanEval+ is released! + +
+
+ + +## 📙 About + +EvalPlus is a rigorous evaluation framework for LLM4Code, with: + +- ✨ **HumanEval+**: 80x more tests than the original HumanEval! +- ✨ **MBPP+**: 35x more tests than the original MBPP! +- ✨ **EvalPerf**: evaluating the efficiency of LLM-generated code! +- ✨ **Framework**: our packages/images/tools can easily and safely evaluate LLMs on above benchmarks. + +Why EvalPlus? + +- ✨ **Precise evaluation**: See [our leaderboard](https://evalplus.github.io/leaderboard.html) for latest LLM rankings before & after rigorous evaluation. +- ✨ **Coding rigorousness**: Look at the score differences! esp. before & after using EvalPlus tests! Less drop means more rigorousness in code generation; while a bigger drop means the generated code tends to be fragile. +- ✨ **Code efficiency**: Beyond correctness, our EvalPerf dataset evaluates the efficiency of LLM-generated code via performance-exercising coding tasks and test inputs. + +Want to know more details? Read our papers & materials! + +- **EvalPlus**: [NeurIPS'23 paper](https://openreview.net/forum?id=1qvx610Cu7), [Slides](https://docs.google.com/presentation/d/1eTxzUQG9uHaU13BGhrqm4wH5NmMZiM3nI0ezKlODxKs), [Poster](https://jw-liu.xyz/assets/pdf/EvalPlus_Poster.pdf), [Leaderboard](https://evalplus.github.io/leaderboard.html) +- **EvalPerf**: [COLM'24 paper](https://openreview.net/forum?id=IBCBMeAhmC), [Poster](https://jw-liu.xyz/assets/pdf/jiawei-colm-evalperf-poster.pdf), [Documentation](./docs/evalperf.md), [Leaderboard](https://evalplus.github.io/evalperf.html) + + +## 🔥 Quick Start + +### Code Correctness Evaluation: HumanEval(+) or MBPP(+) + +```bash +pip install --upgrade "evalplus[vllm] @ git+https://github.com/evalplus/evalplus" +# Or `pip install "evalplus[vllm]" --upgrade` for the latest stable release + +evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset [humaneval|mbpp] \ + --backend vllm \ + --greedy +``` + +
🛡️ Safe code execution within Docker :: click to expand :: +
+ +```bash +# Local generation +evalplus.codegen --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset humaneval \ + --backend vllm \ + --greedy + +# Code execution within Docker +docker run --rm --pull=always -v $(pwd)/evalplus_results:/app ganler/evalplus:latest \ + evalplus.evaluate --dataset humaneval \ + --samples /app/humaneval/ise-uiuc--Magicoder-S-DS-6.7B_vllm_temp_0.0.jsonl +``` + +
+
+ +### Code Efficiency Evaluation: EvalPerf (*nix only) + +```bash +pip install --upgrade "evalplus[perf,vllm] @ git+https://github.com/evalplus/evalplus" +# Or `pip install "evalplus[perf,vllm]" --upgrade` for the latest stable release + +sudo sh -c 'echo 0 > /proc/sys/kernel/perf_event_paranoid' # Enable perf +evalplus.evalperf --model "ise-uiuc/Magicoder-S-DS-6.7B" --backend vllm +``` + +
🛡️ Safe code execution within Docker :: click to expand :: +
+ +```bash +# Local generation +evalplus.codegen --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset evalperf \ + --backend vllm \ + --temperature 1.0 \ + --n-samples 100 + +# Code execution within Docker +sudo sh -c 'echo 0 > /proc/sys/kernel/perf_event_paranoid' # Enable perf +docker run --cap-add PERFMON --rm --pull=always -v $(pwd)/evalplus_results:/app ganler/evalplus:latest \ + evalplus.evalperf --samples /app/evalperf/ise-uiuc--Magicoder-S-DS-6.7B_vllm_temp_1.0.jsonl +``` + +
+
+ +## 🚀 LLM Backends + +### HuggingFace models + +- `transformers` backend: + +```bash +evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset [humaneval|mbpp] \ + --backend hf \ + --greedy +``` + +> [!Note] +> +> EvalPlus uses different prompts for base and chat models. +> By default it is detected by `tokenizer.chat_template` when using `hf`/`vllm` as backend. +> For other backends, only chat mode is allowed. +> +> Therefore, if your base models come with a `tokenizer.chat_template`, +> please add `--force-base-prompt` to avoid being evaluated +> in a chat mode. + +
Enable Flash Attention 2 :: click to expand :: +
+ +```bash +# Install Flash Attention 2 +pip install packaging ninja +pip install flash-attn --no-build-isolation +# Note: if you have installation problem, consider using pre-built +# wheels from https://github.com/Dao-AILab/flash-attention/releases + +# Run evaluation with FA2 +evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset [humaneval|mbpp] \ + --backend hf \ + --attn-implementation [flash_attention_2|sdpa] \ + --greedy +``` + +
+
+ +- `vllm` backend: + +```bash +evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset [humaneval|mbpp] \ + --backend vllm \ + --tp [TENSOR_PARALLEL_SIZE] \ + --greedy +``` + +- `openai` compatible servers (e.g., [vLLM](https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html)): + +```bash +# OpenAI models +export OPENAI_API_KEY="{KEY}" # https://platform.openai.com/settings/organization/api-keys +evalplus.evaluate --model "gpt-4o-2024-08-06" \ + --dataset [humaneval|mbpp] \ + --backend openai --greedy + +# DeepSeek +export OPENAI_API_KEY="{KEY}" # https://platform.deepseek.com/api_keys +evalplus.evaluate --model "deepseek-chat" \ + --dataset [humaneval|mbpp] \ + --base-url https://api.deepseek.com \ + --backend openai --greedy + +# Grok +export OPENAI_API_KEY="{KEY}" # https://console.x.ai/ +evalplus.evaluate --model "grok-beta" \ + --dataset [humaneval|mbpp] \ + --base-url https://api.x.ai/v1 \ + --backend openai --greedy + +# vLLM server +# First, launch a vLLM server: https://docs.vllm.ai/en/latest/serving/deploying_with_docker.html +evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset [humaneval|mbpp] \ + --base-url http://localhost:8000/v1 \ + --backend openai --greedy + +# GPTQModel +evalplus.evaluate --model "ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1" \ + --dataset [humaneval|mbpp] \ + --backend gptqmodel --greedy +``` + +### OpenAI models + +- Access OpenAI APIs from [OpenAI Console](https://platform.openai.com/) + +```bash +export OPENAI_API_KEY="[YOUR_API_KEY]" +evalplus.evaluate --model "gpt-4o" \ + --dataset [humaneval|mbpp] \ + --backend openai \ + --greedy +``` + +### Anthropic models + +- Access Anthropic APIs from [Anthropic Console](https://console.anthropic.com/) + +```bash +export ANTHROPIC_API_KEY="[YOUR_API_KEY]" +evalplus.evaluate --model "claude-3-haiku-20240307" \ + --dataset [humaneval|mbpp] \ + --backend anthropic \ + --greedy +``` + +### Google Gemini models + +- Access Gemini APIs from [Google AI Studio](https://aistudio.google.com/) + +```bash +export GOOGLE_API_KEY="[YOUR_API_KEY]" +evalplus.evaluate --model "gemini-1.5-pro" \ + --dataset [humaneval|mbpp] \ + --backend google \ + --greedy +``` + +### Amazon Bedrock models + +- [Amazon Bedrock](https://aws.amazon.com/bedrock/) + +```bash +export BEDROCK_ROLE_ARN="[BEDROCK_ROLE_ARN]" +evalplus.evaluate --model "anthropic.claude-3-5-sonnet-20241022-v2:0" \ + --dataset [humaneval|mbpp] \ + --backend bedrock \ + --greedy +``` + +You can checkout the generation and results at `evalplus_results/[humaneval|mbpp]/` + +
⏬ Using EvalPlus as a local repo? :: click to expand :: +
+ +```bash +git clone https://github.com/evalplus/evalplus.git +cd evalplus +export PYTHONPATH=$PYTHONPATH:$(pwd) +pip install -r requirements.txt +``` + +
+
+ +## 📚 Documents + +To learn more about how to use EvalPlus, please refer to: + +- [EvalPlus Commands](./docs/cli.md) +- [EvalPerf](./docs/evalperf.md) +- [Program Execution](./docs/execution.md) + +## 📜 Citation + +```bibtex +@inproceedings{evalplus, + title = {Is Your Code Generated by Chat{GPT} Really Correct? Rigorous Evaluation of Large Language Models for Code Generation}, + author = {Liu, Jiawei and Xia, Chunqiu Steven and Wang, Yuyao and Zhang, Lingming}, + booktitle = {Thirty-seventh Conference on Neural Information Processing Systems}, + year = {2023}, + url = {https://openreview.net/forum?id=1qvx610Cu7}, +} + +@inproceedings{evalperf, + title = {Evaluating Language Models for Efficient Code Generation}, + author = {Liu, Jiawei and Xie, Songrun and Wang, Junhao and Wei, Yuxiang and Ding, Yifeng and Zhang, Lingming}, + booktitle = {First Conference on Language Modeling}, + year = {2024}, + url = {https://openreview.net/forum?id=IBCBMeAhmC}, +} +``` + +## 🙏 Acknowledgement + +- [HumanEval](https://github.com/openai/human-eval) +- [MBPP](https://github.com/google-research/google-research/tree/master/mbpp) diff --git a/evalplus/build/lib/evalplus/__init__.py b/evalplus/build/lib/evalplus/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..14435419b581e1d71ae025c68a02e8b6a9bffb9e --- /dev/null +++ b/evalplus/build/lib/evalplus/__init__.py @@ -0,0 +1,4 @@ +try: + from evalplus._version import __version__, __version_tuple__ +except ImportError: + __version__ = "local-dev" diff --git a/evalplus/build/lib/evalplus/_version.py b/evalplus/build/lib/evalplus/_version.py new file mode 100644 index 0000000000000000000000000000000000000000..973526b6257a660dd49bee757bd02f14baf002b4 --- /dev/null +++ b/evalplus/build/lib/evalplus/_version.py @@ -0,0 +1,16 @@ +# file generated by setuptools_scm +# don't change, don't track in version control +TYPE_CHECKING = False +if TYPE_CHECKING: + from typing import Tuple, Union + VERSION_TUPLE = Tuple[Union[int, str], ...] +else: + VERSION_TUPLE = object + +version: str +__version__: str +__version_tuple__: VERSION_TUPLE +version_tuple: VERSION_TUPLE + +__version__ = version = '0.4.0.dev33' +__version_tuple__ = version_tuple = (0, 4, 0, 'dev33') diff --git a/evalplus/build/lib/evalplus/codegen.py b/evalplus/build/lib/evalplus/codegen.py new file mode 100644 index 0000000000000000000000000000000000000000..63c2270ca8a17af8717edbfb9f9831528157bd83 --- /dev/null +++ b/evalplus/build/lib/evalplus/codegen.py @@ -0,0 +1,272 @@ +import json +import os +from typing import Dict, List, Optional + +from evalplus.data import get_evalperf_data, get_human_eval_plus, get_mbpp_plus +from evalplus.provider import DecoderBase, make_model +from evalplus.sanitize import sanitize +from evalplus.utils import progress + + +def codegen( + target_path: str, + model: DecoderBase, + dataset: Dict, + greedy=False, + n_samples=1, + id_range=None, + resume=True, +): + task2nexist = {} + if resume and target_path.endswith(".jsonl") and os.path.isfile(target_path): + with open(target_path, "r") as f: + for line in f: + if not line.strip(): + continue + task_id = json.loads(line)["task_id"] + task2nexist[task_id] = task2nexist.get(task_id, 0) + 1 + + if target_path.endswith(".jsonl"): + raw_target_path = target_path.replace(".jsonl", ".raw.jsonl") + else: + raw_target_path = target_path + ".raw" + os.makedirs(target_path, exist_ok=True) + + print(f"Sanitized code outputs will be saved to {target_path}") + print(f"Raw outputs will be saved to {raw_target_path}") + + backend_type: str = type(model).__name__ + with progress(backend_type) as p: + for task_id, task in p.track(dataset.items()): + if id_range is not None: + id_num = int(task_id.split("/")[1]) + low, high = id_range + if id_num < low or id_num >= high: + p.console.print(f"Skipping {task_id} as it is not in {id_range}") + continue + + if not target_path.endswith(".jsonl"): + p_name = task_id.replace("/", "_") + os.makedirs(os.path.join(target_path, p_name), exist_ok=True) + task2nexist[task_id] = len( + [ + f + for f in os.listdir(os.path.join(target_path, p_name)) + if f.endswith(".py") + ] + ) + + n_more_samples = n_samples + log = f"Codegen: {task_id} @ {model}" + if resume and task2nexist.get(task_id, 0) > 0: + log += f" (resuming from {task2nexist[task_id]})" + n_more_samples -= task2nexist[task_id] + + p.console.print(log) + + sidx = n_samples - n_more_samples + while sidx < n_samples: + prompt = task["prompt"].strip() + "\n" + outputs = model.codegen( + prompt, + do_sample=not greedy, + num_samples=n_samples - sidx, + ) + assert outputs, "No outputs from model!" + for impl in outputs: + solution = prompt + impl if model.is_direct_completion() else impl + sanitized_solution = sanitize( + solution, entrypoint=task["entry_point"] + ) + if target_path.endswith(".jsonl"): + # Writing the sanitized version + with open(target_path, "a") as f: + f.write( + json.dumps( + {"task_id": task_id, "solution": sanitized_solution} + ) + + "\n" + ) + + # Writing the raw version + with open(raw_target_path, "a") as f: + f.write( + json.dumps({"task_id": task_id, "solution": solution}) + + "\n" + ) + else: + # Writing the sanitized version + with open( + os.path.join(target_path, p_name, f"{sidx}.py"), + "w", + encoding="utf-8", + ) as f: + f.write(sanitized_solution) + + # Writing the raw version + with open( + os.path.join(raw_target_path, p_name, f"{sidx}.py"), + "w", + encoding="utf-8", + ) as f: + f.write(solution) + sidx += 1 + + +def run_codegen( + model: str, + dataset: str, + root: str = "evalplus_results", + bs: Optional[int] = None, + n_samples: int = 1, + temperature: float = 0.0, + resume: bool = True, + greedy: bool = False, + id_range: List = None, + version: str = "default", + backend: str = "vllm", + force_base_prompt: bool = False, + base_url: str = None, + tp: int = 1, + evalperf_type: str = None, # For EvalPerf + jsonl_fmt: bool = True, + attn_implementation: str = "eager", + device_map: Optional[str] = None, + trust_remote_code: bool = False, + enable_prefix_caching: bool = False, + enable_chunked_prefill: bool = False, + dtype: str = "bfloat16", + gptqmodel_backend: str = "auto", # For GPTQModel + gguf_file: Optional[str] = None +): + assert dataset in ["humaneval", "mbpp", "evalperf"], f"Invalid dataset {dataset}" + assert evalperf_type is None or evalperf_type in [ + "instruct", + "perf-instruct", + "perf-CoT", + ] + + # Make dir for codes generated by each model + identifier = model.strip("./").replace("/", "--") + f"_{backend}_temp_{temperature}" + if evalperf_type: + identifier += f"-{evalperf_type}" + + target_path = os.path.join(root, dataset, identifier) + if jsonl_fmt: + target_path += ".jsonl" + else: + os.makedirs(target_path, exist_ok=True) + + if dataset == "humaneval": + dataset_dict = get_human_eval_plus(version=version) + elif dataset == "mbpp": + dataset_dict = get_mbpp_plus(version=version) + elif dataset == "evalperf": + original_dataset = {**get_human_eval_plus(), **get_mbpp_plus()} + dataset_dict = {k: original_dataset[k] for k in get_evalperf_data()} + assert id_range is None, "id_range not supported for evalperf" + else: + raise ValueError(f"Invalid dataset {dataset}") + + all_tasks_complete = False + if jsonl_fmt and os.path.isfile(target_path): + task_counts = {} + with open(target_path, "r") as f: + for line in f: + if not line.strip(): + continue + data = json.loads(line) + task_id = data["task_id"] + task_counts[task_id] = task_counts.get(task_id, 0) + 1 + + all_tasks_complete = all( + task_counts.get(task_id, 0) >= n_samples + for task_id in dataset_dict.keys() + ) + + if all_tasks_complete: + print("All samples are already cached. Skipping codegen.") + return target_path + + if greedy and (temperature != 0 or bs != 1 or n_samples != 1): + temperature = 0.0 + bs = 1 + n_samples = 1 + print("Greedy decoding ON (--greedy): setting bs=1, n_samples=1, temperature=0") + + if id_range is not None: + assert len(id_range) == 2, "id_range must be a list of length 2" + assert id_range[0] < id_range[1], "id_range must be increasing" + id_range = tuple(id_range) + + if bs is None: + bs = min(n_samples, 32) + print(f"Setting batch size to {bs}") + + # Make project dir + os.makedirs(root, exist_ok=True) + # Make dataset dir + os.makedirs(os.path.join(root, dataset), exist_ok=True) + + # Model instructions + instruction_prefix = "Please provide a self-contained Python script that solves the following problem in a markdown code block:" + response_prefix = "Below is a Python script with a self-contained function that solves the problem and passes corresponding tests:" + + if evalperf_type == "perf-instruct": + instruction_prefix = "Please provide an efficient and self-contained Python script that solves the following problem in a markdown code block:" + response_prefix = "Below is a Python script with a self-contained function that efficiently solves the problem and passes corresponding tests:" + elif evalperf_type == "perf-CoT": + instruction_prefix = "Think step by step: please provide an efficient and self-contained Python script that solves the following problem in a markdown code block:" + response_prefix = "Below is a Python script with a self-contained function that efficiently solves the problem and passes corresponding tests:" + elif evalperf_type is not None and evalperf_type != "instruct": + raise ValueError(f"Invalid evalperf_type: {evalperf_type}") + + # Model creation + model_runner = make_model( + model=model, + backend=backend, + batch_size=bs, + temperature=temperature, + force_base_prompt=force_base_prompt, + dataset=dataset, + base_url=base_url, + tp=tp, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + device_map=device_map, + attn_implementation=attn_implementation, + trust_remote_code=trust_remote_code, + enable_prefix_caching=enable_prefix_caching, + enable_chunked_prefill=enable_chunked_prefill, + dtype=dtype, + gptqmodel_backend=gptqmodel_backend, + gguf_file=gguf_file, + ) + + codegen( + target_path=target_path, + dataset=dataset_dict, + greedy=greedy, + model=model_runner, + n_samples=n_samples, + resume=resume, + id_range=id_range, + ) + + # force shutdown the model runner + del model_runner + import gc + + gc.collect() + + return target_path + + +def main(): + from fire import Fire + + Fire(run_codegen) + + +if __name__ == "__main__": + main() diff --git a/evalplus/build/lib/evalplus/config.py b/evalplus/build/lib/evalplus/config.py new file mode 100644 index 0000000000000000000000000000000000000000..7987ba39c1ad2eb586e17b14aa2a1beb13b7c4fa --- /dev/null +++ b/evalplus/build/lib/evalplus/config.py @@ -0,0 +1,16 @@ +## EvalPlus +DEFAULT_GT_TIME_LIMIT_FACTOR = 4.0 +DEFAULT_MIN_TIME_LIMIT = 1.0 + +## EvalPerf + +### General +PERF_PROFILE_ROUNDS = 1 +PERF_RAM_GB_PER_PROC = 12 + +### Evaluation Phase +PERF_EVAL_TIMEOUT_SECOND = 45 + +### Curation Phase +PERF_CURATE_TIMEOUT_SECOND = 20 +PREF_CURATE_MIN_INSTRUCTION = 10000 diff --git a/evalplus/build/lib/evalplus/data/__init__.py b/evalplus/build/lib/evalplus/data/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..64e8d726996293f90dfdbd1e93a7db809697b8fb --- /dev/null +++ b/evalplus/build/lib/evalplus/data/__init__.py @@ -0,0 +1,14 @@ +import json + +from datasets import load_dataset + +from evalplus.data.humaneval import get_human_eval_plus, get_human_eval_plus_hash +from evalplus.data.mbpp import get_mbpp_plus, get_mbpp_plus_hash +from evalplus.data.utils import load_solutions, write_directory, write_jsonl + + +def get_evalperf_data(): + dataset = load_dataset("evalplus/evalperf", split="test").to_list() + for d in dataset: + d["pe_input"] = json.loads(d["pe_input"]) + return {task["task_id"]: task for task in dataset} diff --git a/evalplus/build/lib/evalplus/data/humaneval.py b/evalplus/build/lib/evalplus/data/humaneval.py new file mode 100644 index 0000000000000000000000000000000000000000..9e32b5885d5fff689f6706e9abbd15886e3d5a1f --- /dev/null +++ b/evalplus/build/lib/evalplus/data/humaneval.py @@ -0,0 +1,96 @@ +import hashlib +import json +import os +from typing import Dict + +from evalplus.data.utils import ( + CACHE_DIR, + completeness_check, + get_dataset_metadata, + make_cache, + stream_jsonl, +) + +HUMANEVAL_PLUS_VERSION = "v0.1.10" +HUMANEVAL_OVERRIDE_PATH = os.environ.get("HUMANEVAL_OVERRIDE_PATH", None) + + +def _ready_human_eval_plus_path(mini=False, noextreme=False, version="default") -> str: + if HUMANEVAL_OVERRIDE_PATH: + return HUMANEVAL_OVERRIDE_PATH + + version = HUMANEVAL_PLUS_VERSION if version == "default" else version + url, plus_path = get_dataset_metadata( + "HumanEvalPlus", HUMANEVAL_PLUS_VERSION, mini, noextreme + ) + make_cache(url, plus_path) + + return plus_path + + +def get_human_eval_plus_hash(mini=False, noextreme=False, version="default") -> str: + """Get the hash of HumanEvalPlus. + Returns: + str: The hash of HumanEvalPlus + """ + plus_path = _ready_human_eval_plus_path(mini, noextreme, version="default") + with open(plus_path, "rb") as f: + plus = f.read() + return hashlib.md5(plus).hexdigest() + + +def get_human_eval_plus( + err_incomplete=True, mini=False, noextreme=False, version="default" +) -> Dict[str, Dict]: + """Get HumanEvalPlus locally. + Args: + err_incomplete (bool, optional): Whether to raise error if HumanEvalPlus is not complete. Defaults to True. + mini (bool, optional): Whether to use the mini version of HumanEvalPlus. Defaults to False. + Returns: + List[Dict[str, str]]: List of dicts with keys "task_id", "prompt", "contract", "canonical_solution", "base_input" + Notes: + "task_id" is the identifier string for the task + "prompt" is the function signature with docstring + "contract" is the assertions for the function's input (validity) + "canonical_solution" is the ground-truth implementation for diff-testing + "base_input" is the test inputs from original HumanEval + "plus_input" is the test inputs brought by EvalPlus + "atol" is the absolute tolerance for diff-testing + """ + plus_path = _ready_human_eval_plus_path( + mini=mini, noextreme=noextreme, version=version + ) + plus = {task["task_id"]: task for task in stream_jsonl(plus_path)} + if err_incomplete: + completeness_check("HumanEval+", plus) + return plus + + +def get_human_eval() -> Dict[str, Dict]: + """Get HumanEval from OpenAI's github repo and return as a list of parsed dicts. + + Returns: + List[Dict[str, str]]: List of dicts with keys "prompt", "test", "entry_point" + + Notes: + "task_id" is the identifier string for the task. + "prompt" is the prompt to be used for the task (function signature with docstrings). + "test" is test-cases wrapped in a `check` function. + "entry_point" is the name of the function. + """ + # Check if human eval file exists in CACHE_DIR + human_eval_path = os.path.join(CACHE_DIR, "HumanEval.jsonl") + make_cache( + "https://github.com/openai/human-eval/raw/master/data/HumanEval.jsonl.gz", + human_eval_path, + ) + + human_eval = open(human_eval_path, "r").read().split("\n") + human_eval = [json.loads(line) for line in human_eval if line] + + # Handle 115_max_fill.py to make its docstring well-formed + human_eval[115]["prompt"] = "import math\n" + human_eval[115]["prompt"].replace( + "import math\n", "" + ) + + return {task["task_id"]: task for task in human_eval} diff --git a/evalplus/build/lib/evalplus/data/mbpp.py b/evalplus/build/lib/evalplus/data/mbpp.py new file mode 100644 index 0000000000000000000000000000000000000000..77cca7741add28f8fceb6067f6c98f713c80784f --- /dev/null +++ b/evalplus/build/lib/evalplus/data/mbpp.py @@ -0,0 +1,203 @@ +import hashlib +import json +import os +from typing import Dict + +import wget + +from evalplus.data.utils import ( + CACHE_DIR, + completeness_check, + get_dataset_metadata, + make_cache, + stream_jsonl, +) + +MBPP_PLUS_VERSION = "v0.2.0" +MBPP_OVERRIDE_PATH = os.environ.get("MBPP_OVERRIDE_PATH", None) + + +def _ready_mbpp_plus_path(mini=False, noextreme=False, version="default") -> str: + assert mini is False, "Mini version of MBPP+ is not available yet." + + if MBPP_OVERRIDE_PATH: + return MBPP_OVERRIDE_PATH + + version = MBPP_PLUS_VERSION if version == "default" else version + + url, plus_path = get_dataset_metadata("MbppPlus", version, mini, noextreme) + make_cache(url, plus_path) + + return plus_path + + +def mbpp_serialize_inputs(task_id: str, inputs: list) -> list: + task_id = int(task_id.split("/")[-1]) + + if task_id == 115: + return [[[list(item) for item in inp[0]]] for inp in inputs] + elif task_id == 124: + return [(str(inp[0]), str(inp[1])) for inp in inputs] + elif task_id == 252: + return [[str(inp[0])] for inp in inputs] + + return inputs + + +def mbpp_deserialize_inputs(task_id: str, inputs: list) -> list: + task_id = int(task_id.split("/")[-1]) + if task_id in [ + 2, + 116, + 132, + 143, + 222, + 261, + 273, + 394, + 399, + 421, + 424, + 429, + 470, + 560, + 579, + 596, + 616, + 630, + 726, + 740, + 744, + 809, + ]: + modified_inputs = [[tuple(lst) for lst in inp] for inp in inputs] + + elif task_id in [ + 63, + 64, + 70, + 94, + 120, + 237, + 272, + 299, + 400, + 409, + 417, + 438, + 473, + 614, + 780, + ]: + modified_inputs = [ + [[tuple(lst) for lst in lst_lst] for lst_lst in inp] for inp in inputs + ] + + elif task_id in [75, 413, 444, 753]: + modified_inputs = [ + [[tuple(lst) for lst in inp[0]]] + [inp[1]] for inp in inputs + ] + + elif task_id == 106 or task_id == 750: + modified_inputs = [[inp[0]] + [tuple(inp[1])] for inp in inputs] + + elif task_id == 115: + modified_inputs = [ + [ + [ + set(item) if isinstance(item, list) and len(item) else {} + for item in inp[0] + ] + ] + for inp in inputs + ] + + elif task_id == 124: + modified_inputs = [(float(inp[0]), complex(inp[1])) for inp in inputs] + + elif task_id in [250, 405, 446, 617, 720, 763, 808]: + modified_inputs = [[tuple(inp[0])] + [inp[1]] for inp in inputs] + + elif task_id in [259, 401, 445]: + modified_inputs = [ + [[tuple(lst) for lst in lst_lst] for lst_lst in inp] for inp in inputs + ] + modified_inputs = [[tuple(lst) for lst in inp] for inp in modified_inputs] + + elif task_id == 278: + modified_inputs = [ + [[tuple(item) if isinstance(item, list) else item for item in inp[0]]] + for inp in inputs + ] + modified_inputs = [[tuple(lst) for lst in inp] for inp in modified_inputs] + + elif task_id == 307: + modified_inputs = [[tuple(inp[0])] + [inp[1], inp[2]] for inp in inputs] + + elif task_id == 722: + modified_inputs = [ + [{key: tuple(value) for key, value in inp[0].items()}] + inp[1:] + for inp in inputs + ] + + elif task_id == 252: + modified_inputs = [[complex(inp[0])] for inp in inputs] + + elif task_id in [580, 615, 791]: + + def turn_all_list_into_tuple(inp): + if isinstance(inp, list): + return tuple([turn_all_list_into_tuple(item) for item in inp]) + return inp + + modified_inputs = [turn_all_list_into_tuple(inp) for inp in inputs] + + else: + modified_inputs = inputs + + return modified_inputs + + +def get_mbpp() -> Dict[str, Dict]: + """Get sanitized MBPP from Google's Github repo.""" + mbpp_path = os.path.join(CACHE_DIR, "sanitized-mbpp.json") + + if not os.path.exists(mbpp_path): + os.makedirs(CACHE_DIR, exist_ok=True) + + # Install MBPP-sanitized from scratch + print("Downloading original MBPP dataset...") + wget.download( + "https://github.com/google-research/google-research/raw/master/mbpp/sanitized-mbpp.json", + mbpp_path, + ) + + with open(mbpp_path, "r") as f: + mbpp = json.load(f) + + return {str(task["task_id"]): task for task in mbpp} + + +def get_mbpp_plus( + err_incomplete=True, mini=False, noextreme=False, version="default" +) -> Dict[str, Dict]: + plus_path = _ready_mbpp_plus_path(mini=mini, noextreme=noextreme, version=version) + plus = {task["task_id"]: task for task in stream_jsonl(plus_path)} + for task_id, task in plus.items(): + task["base_input"] = mbpp_deserialize_inputs(task_id, task["base_input"]) + task["plus_input"] = mbpp_deserialize_inputs(task_id, task["plus_input"]) + + if err_incomplete: + completeness_check("MBPP+", plus) + return plus + + +def get_mbpp_plus_hash(mini=False, noextreme=False, version="default") -> str: + """Get the hash of MbppPlus. + Returns: + str: The hash of MbppPlus + """ + plus_path = _ready_mbpp_plus_path(mini=mini, noextreme=noextreme, version=version) + with open(plus_path, "rb") as f: + plus = f.read() + return hashlib.md5(plus).hexdigest() diff --git a/evalplus/build/lib/evalplus/data/utils.py b/evalplus/build/lib/evalplus/data/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..2b5fab8735542e85fb02b668c6dc6fcebff30d1e --- /dev/null +++ b/evalplus/build/lib/evalplus/data/utils.py @@ -0,0 +1,166 @@ +import gzip +import json +import os +from os import PathLike +from typing import Dict, Iterable + +import tempdir +import wget +from appdirs import user_cache_dir + +CACHE_DIR = user_cache_dir("evalplus") + + +def get_dataset_metadata(name: str, version: str, mini: bool, noextreme: bool = False): + assert name in ["HumanEvalPlus", "MbppPlus"], f"Unknown/unsupported dataset: {name}" + extra = "" + assert not (mini and noextreme), "Cannot have both mini and noextreme" + if mini: + extra = "-Mini" + if noextreme: + extra = "-NoExtreme" + url = f"https://github.com/evalplus/{name.lower()}_release/releases/download/{version}/{name}{extra}.jsonl.gz" + cache_path = os.path.join(CACHE_DIR, f"{name}{extra}-{version}.jsonl") + return url, cache_path + + +def make_cache(gzip_url, cache_path): + # Check if human eval file exists in CACHE_DIR + if not os.path.exists(cache_path): + # Install HumanEval dataset and parse as jsonl + print(f"Downloading dataset from {gzip_url}") + with tempdir.TempDir() as tmpdir: + plus_gz_path = os.path.join(tmpdir, f"data.jsonl.gz") + wget.download(gzip_url, plus_gz_path) + + with gzip.open(plus_gz_path, "rb") as f: + plus = f.read().decode("utf-8") + + # create CACHE_DIR if not exists + if not os.path.exists(CACHE_DIR): + os.makedirs(CACHE_DIR) + + # Write the original human eval file to CACHE_DIR + with open(cache_path, "w") as f: + f.write(plus) + + +def write_jsonl( + filename: str, data: Iterable[Dict], append: bool = False, drop_builtin: bool = True +): + """ + Writes an iterable of dictionaries to jsonl + """ + if append: + mode = "ab" + else: + mode = "wb" + filename = os.path.expanduser(filename) + if filename.endswith(".gz"): + with open(filename, mode) as fp: + with gzip.GzipFile(fileobj=fp, mode="wb") as gzfp: + for x in data: + if drop_builtin: + x = {k: v for k, v in x.items() if not k.startswith("_")} + gzfp.write((json.dumps(x) + "\n").encode("utf-8")) + else: + with open(filename, mode) as fp: + for x in data: + if drop_builtin: + x = {k: v for k, v in x.items() if not k.startswith("_")} + fp.write((json.dumps(x) + "\n").encode("utf-8")) + + +def stream_jsonl(filename: str) -> Iterable[Dict]: + """ + Parses each jsonl line and yields it as a dictionary + """ + if filename.endswith(".gz"): + with open(filename, "rb") as gzfp: + with gzip.open(gzfp, "rt") as fp: + for line in fp: + if any(not x.isspace() for x in line): + yield json.loads(line) + else: + with open(filename, "r") as fp: + for line in fp: + if any(not x.isspace() for x in line): + yield json.loads(line) + + +def load_solutions(sample_path: PathLike) -> Iterable[Dict]: + """We accept two formats of inputs. + + `sample.jsonl` which is the format from HumanEval, i.e., {task_id, completion or solution}. + + A folder which contains sub-folders named after the task_id. Each sub-folder + contains samples named in `[?].py` where `?` is the solution id starting with 0. + Different from `sample.jsonl`, the solutions must be complete (with prompt prefix). + """ + + # if it is a file + if os.path.isfile(sample_path): + for i, sample in enumerate(stream_jsonl(sample_path)): + assert ( + "completion" in sample or "solution" in sample + ), "No completion or solution found in sample!" + assert "solution" not in sample or isinstance( + sample["solution"], str + ), "Solution must be a string! If you have multiple solutions, please repeat the task_id." + assert "completion" not in sample or isinstance( + sample["completion"], str + ), "Completion must be a string! If you have multiple solutions, please repeat the task_id." + + sample["_identifier"] = ( + sample["task_id"] + f" (line {i+1} in {sample_path})" + ) + yield sample + else: + # if it is a folder + for task_id in os.listdir(sample_path): + task_path = os.path.join(sample_path, task_id) + if not os.path.isdir(task_path): + continue + + for solution_id in os.listdir(task_path): + solution_path = os.path.join(task_path, solution_id) + if os.path.isfile(solution_path) and solution_path.endswith(".py"): + with open(solution_path, "r") as f: + completion = f.read() + yield { + "_identifier": solution_path, + "_path": solution_path, + "task_id": task_id.replace("_", "/"), + "solution": completion, + } + + +def write_directory(directory: PathLike, data: Iterable[Dict]): + os.makedirs(directory, exist_ok=True) + counters = {} + for sample in data: + assert "solution" in sample, "Samples must come with `solution` field!" + task_id = sample["task_id"].replace("/", "_") + task_dir = os.path.join(directory, task_id) + os.makedirs(task_dir, exist_ok=True) + if task_id not in counters: + counters[task_id] = 0 + sample_id = counters[task_id] + with open(os.path.join(task_dir, f"{sample_id}.py"), "w") as f: + f.write(sample["solution"]) + counters[task_id] += 1 + + +def completeness_check(name, plus): + for task_id, task in plus.items(): + for key in [ + "prompt", + "contract", + "canonical_solution", + "base_input", + "plus_input", + "atol", + ]: + assert key in task, f"{key} not found in {name} #{task_id}!" + + +def to_raw(string): + return string.encode("unicode-escape").decode().replace("\\\\", "\\") diff --git a/evalplus/build/lib/evalplus/eval/__init__.py b/evalplus/build/lib/evalplus/eval/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..337e0b25293db97719af3f31bfc1bca982c35b4b --- /dev/null +++ b/evalplus/build/lib/evalplus/eval/__init__.py @@ -0,0 +1,316 @@ +# The MIT License +# +# Copyright (c) OpenAI (https://openai.com) +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +# THE SOFTWARE. + +import itertools +import multiprocessing +import os +import time +from multiprocessing import Array, Value +from typing import Any, Dict, List, Optional, Tuple, Union + +import numpy as np +import psutil + +from evalplus.config import * +from evalplus.eval._special_oracle import ( + MBPP_OUTPUT_NOT_NONE_TASKS, + MBPP_OUTPUT_SET_EQ_TASKS, + _digit_distance_nums, + _poly, + _surface_Area, +) +from evalplus.eval.utils import ( + create_tempdir, + reliability_guard, + swallow_io, + time_limit, +) + + +def compatible_eval_result(results: Dict) -> Dict: + # compatibility + for task_results in results["eval"].values(): + # update the "files" field to "nfiles" + if "files" in task_results and "nfiles" not in task_results: + task_results["nfiles"] = len(task_results.pop("files")) + return results + + +# unbiased estimator from https://github.com/openai/human-eval +def estimate_pass_at_k( + num_samples: Union[int, List[int], np.ndarray], + num_correct: Union[List[int], np.ndarray], + k: int, +) -> np.ndarray: + """ + Estimates pass@k of each problem and returns them in an array. + """ + + def estimator(n: int, c: int, k: int) -> float: + """ + Calculates 1 - comb(n - c, k) / comb(n, k). + """ + if n - c < k: + return 1.0 + return 1.0 - np.prod(1.0 - k / np.arange(n - c + 1, n + 1)) + + if isinstance(num_samples, int): + num_samples_it = itertools.repeat(num_samples, len(num_correct)) + else: + assert len(num_samples) == len(num_correct) + num_samples_it = iter(num_samples) + + return np.array( + [estimator(int(n), int(c), k) for n, c in zip(num_samples_it, num_correct)] + ) + + +PASS = "pass" +FAIL = "fail" +TIMEOUT = "timeout" + +_SUCCESS = 0 +_FAILED = 1 +_TIMEOUT = 2 +_UNKNOWN = 3 + +_mapping = {_SUCCESS: PASS, _FAILED: FAIL, _TIMEOUT: TIMEOUT, _UNKNOWN: None} + + +def query_maximum_memory_bytes() -> Optional[int]: + # Disable functionalities that can make destructive changes to the test. + # allow only 4GB memory usage + maximum_memory_bytes = os.getenv( + "EVALPLUS_MAX_MEMORY_BYTES", 4 * 1024 * 1024 * 1024 + ) + maximum_memory_bytes = min(int(maximum_memory_bytes), psutil.virtual_memory().total) + if maximum_memory_bytes == -1: + return None + return maximum_memory_bytes + + +def is_floats(x) -> bool: + # check if it is float; List[float]; Tuple[float] + if isinstance(x, float): + return True + if isinstance(x, (list, tuple)) and x: + return all(isinstance(i, float) for i in x) + if isinstance(x, np.ndarray): + return x.dtype == np.float64 or x.dtype == np.float32 + return False + + +def unsafe_execute( + dataset: str, + entry_point: str, + code: str, + inputs, + expected: List, + time_limits, + atol, + fast_check, + stat, # Value + details, # Array + progress, # Value +): + with create_tempdir(): + # These system calls are needed when cleaning up tempdir. + import os + import shutil + + rmtree = shutil.rmtree + rmdir = os.rmdir + chdir = os.chdir + #reliability_guard(maximum_memory_bytes=query_maximum_memory_bytes()) + exec_globals = {} + try: + with swallow_io(): + exec(code, exec_globals) + fn = exec_globals[entry_point] + + for i, inp in enumerate(inputs): + try: + with time_limit(time_limits[i]): + with swallow_io(): + out = fn(*inp) + + exp = expected[i] + exact_match = out == exp + + # ================================================ # + # ============== special oracles ================= # + if dataset == "mbpp": + if "are_equivalent" == entry_point: # Mbpp/164 special oracle + exact_match = exact_match or True + elif "sum_div" == entry_point: # Mbpp/295 special oracle + exact_match = exact_match or out == 0 + elif "surface_Area" == entry_point: # Mbpp/581 special oracle + exact_match = ( + exact_match or abs(out - _surface_Area(*inp)) <= atol + ) + elif ( + "digit_distance_nums" == entry_point + ): # Mbpp/558 special oracle + exact_match = exact_match or out == _digit_distance_nums( + *inp + ) + elif entry_point in MBPP_OUTPUT_SET_EQ_TASKS: + exact_match = set(out) == set(exp) + elif entry_point in MBPP_OUTPUT_NOT_NONE_TASKS: + # exp is True if not None + # False if None + if isinstance(out, bool): + exact_match = out == exp + else: + exact_match = exp == (out is not None) + + if dataset == "humaneval": + if "find_zero" == entry_point: + assert abs(_poly(*inp, out)) <= atol + details[i] = True + progress.value += 1 + continue + # ============== special oracles ================= # + # ================================================ # + + if atol == 0 and is_floats(exp): + atol = 1e-6 # enforce atol for float comparison + if not exact_match and atol != 0: + # explicitly set rtol=1e-07 + # to match `np.testing.assert_allclose`'s default values + assert type(out) == type(exp) + if isinstance(exp, (list, tuple)): + assert len(out) == len(exp) + assert np.allclose(out, exp, rtol=1e-07, atol=atol) + else: + assert exact_match + except BaseException: + details[i] = False + progress.value += 1 + if fast_check: + raise + continue + + details[i] = True + progress.value += 1 + + stat.value = _SUCCESS + except BaseException: + stat.value = _FAILED + # Needed for cleaning up. + shutil.rmtree = rmtree + os.rmdir = rmdir + os.chdir = chdir + + +def untrusted_check( + dataset: str, + code: str, + inputs: List[Any], + entry_point: str, + expected, + atol, + ref_time: List[float], + fast_check: bool = False, + min_time_limit: float = DEFAULT_MIN_TIME_LIMIT, + gt_time_limit_factor: float = DEFAULT_GT_TIME_LIMIT_FACTOR, +) -> Tuple[str, np.ndarray]: + time_limits = [max(min_time_limit, gt_time_limit_factor * t) for t in ref_time] + timeout = min(os.getenv("EVALPLUS_TIMEOUT_PER_TASK", 60), sum(time_limits)) + 1 + if not fast_check: + timeout += 1 # extra time for data collection + + # shared memory objects + progress = Value("i", 0) + stat = Value("i", _UNKNOWN) + details = Array("b", [False for _ in range(len(inputs))]) + + p = multiprocessing.Process( + target=unsafe_execute, + args=( + dataset, + entry_point, + code, + inputs, + expected, + time_limits, + atol, + fast_check, + # return values + stat, + details, + progress, + ), + ) + p.start() + p.join(timeout=timeout + 1) + if p.is_alive(): + p.terminate() + time.sleep(0.1) + if p.is_alive(): + p.kill() + time.sleep(0.1) + + stat = _mapping[stat.value] + details = details[: progress.value] + + if not stat: + stat = TIMEOUT + + if stat == PASS: + if len(details) != len(inputs) or not all(details): + stat = FAIL + + return stat, details + + +def evaluate_files( + dataset: str, + files: List[str], + inputs: List, + expected: List, + entry_point: str, + atol: float, + ref_time: List[float], + fast_check: bool = False, + min_time_limit: float = DEFAULT_MIN_TIME_LIMIT, + gt_time_limit_factor: float = DEFAULT_GT_TIME_LIMIT_FACTOR, +) -> List[Tuple[str, List[bool]]]: + ret = [] + # sort files by the id in name (i.e., "../n.py") + files = sorted(files, key=lambda x: int(x.split("/")[-1].split(".")[0])) + for file in files: + code = open(file, "r").read() + stat, det = untrusted_check( + dataset, + code, + inputs, + entry_point, + expected=expected, + atol=atol, + ref_time=ref_time, + fast_check=fast_check, + min_time_limit=min_time_limit, + gt_time_limit_factor=gt_time_limit_factor, + ) + ret.append((stat, det.tolist())) + return ret diff --git a/evalplus/build/lib/evalplus/eval/_special_oracle.py b/evalplus/build/lib/evalplus/eval/_special_oracle.py new file mode 100644 index 0000000000000000000000000000000000000000..12201dc717b226485e30960381437321c53f9af4 --- /dev/null +++ b/evalplus/build/lib/evalplus/eval/_special_oracle.py @@ -0,0 +1,55 @@ +"""Special oracle handlings for problems where direct differential testing is not applicable.""" + +import math + +# For tasks whose output are not serializable, we only check the output is not None, which +# is also consistent with the original dataset. +MBPP_OUTPUT_NOT_NONE_TASKS = ["check_str", "text_match_three", "text_starta_endb"] + +# Tasks that needs to perform set comparison over two lists +MBPP_OUTPUT_SET_EQ_TASKS = [ + "similar_elements", # Mbpp/2 + "find_char_long", # Mbpp/7 + "common_in_nested_lists", # Mbpp/111 + "extract_singly", # Mbpp/140 + "larg_nnum", # Mbpp/232 + "intersection_array", # Mbpp/249 + "find_dissimilar", # Mbpp/579 + "Diff", # Mbpp/769 +] + + +# oracle for Mbpp/581 +def _surface_Area(base_edge, height): + """ + Recognizes the "height" as the perpendicular distance from the base to the apex of the pyramid + """ + slant_height = math.sqrt((base_edge / 2) ** 2 + height**2) + base_area = base_edge**2 + lateral_area = 4 * (base_edge * slant_height) / 2 + total_surface_area = base_area + lateral_area + return round(total_surface_area) + + +# oracle for Mbpp/558 +def _digit_distance_nums(num1, num2): + """ + Preprocesses the two numbers to have the same length by padding with zeros + """ + str_num1, str_num2 = str(num1), str(num2) + max_length = max(len(str_num1), len(str_num2)) + str_num1, str_num2 = str_num1.zfill(max_length), str_num2.zfill(max_length) + total_difference = 0 + for digit1, digit2 in zip(str_num1, str_num2): + difference = abs(int(digit1) - int(digit2)) + total_difference += difference + return total_difference + + +# oracle for HumaneEval/032 +def _poly(xs: list, x: float): + """ + Evaluates polynomial with coefficients xs at point x. + return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n + """ + return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)]) diff --git a/evalplus/build/lib/evalplus/eval/utils.py b/evalplus/build/lib/evalplus/eval/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..4170bcbd13e50155a0af21c8341a8e00e0d256bb --- /dev/null +++ b/evalplus/build/lib/evalplus/eval/utils.py @@ -0,0 +1,187 @@ +# The MIT License +# +# Copyright (c) OpenAI (https://openai.com) +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +# THE SOFTWARE. + +import contextlib +import faulthandler +import io +import os +import platform +import signal +import tempfile +from typing import Optional + + +@contextlib.contextmanager +def swallow_io(): + stream = WriteOnlyStringIO() + with contextlib.redirect_stdout(stream): + with contextlib.redirect_stderr(stream): + with redirect_stdin(stream): + yield + + +@contextlib.contextmanager +def time_limit(seconds: float): + def signal_handler(signum, frame): + raise TimeoutException("Timed out!") + + signal.setitimer(signal.ITIMER_REAL, seconds) + signal.signal(signal.SIGALRM, signal_handler) + try: + yield + finally: + signal.setitimer(signal.ITIMER_REAL, 0) + + +@contextlib.contextmanager +def create_tempdir(): + with tempfile.TemporaryDirectory() as dirname: + with chdir(dirname): + yield dirname + + +@contextlib.contextmanager +def chdir(root): + if root == ".": + yield + return + cwd = os.getcwd() + os.chdir(root) + try: + yield + except BaseException as exc: + raise exc + finally: + os.chdir(cwd) + + +class TimeoutException(Exception): + pass + + +class WriteOnlyStringIO(io.StringIO): + """StringIO that throws an exception when it's read from""" + + def read(self, *args, **kwargs): + raise IOError + + def readline(self, *args, **kwargs): + raise IOError + + def readlines(self, *args, **kwargs): + raise IOError + + def readable(self, *args, **kwargs): + """Returns True if the IO object can be read.""" + return False + + +class redirect_stdin(contextlib._RedirectStream): # type: ignore + _stream = "stdin" + + +def reliability_guard(maximum_memory_bytes: Optional[int] = None): + """ + This disables various destructive functions and prevents the generated code + from interfering with the test (e.g. fork bomb, killing other processes, + removing filesystem files, etc.) + + WARNING + This function is NOT a security sandbox. Untrusted code, including, model- + generated code, should not be blindly executed outside of one. See the + Codex paper for more information about OpenAI's code sandbox, and proceed + with caution. + """ + + if maximum_memory_bytes is not None: + import resource + + resource.setrlimit( + resource.RLIMIT_AS, (maximum_memory_bytes, maximum_memory_bytes) + ) + resource.setrlimit( + resource.RLIMIT_DATA, (maximum_memory_bytes, maximum_memory_bytes) + ) + if not platform.uname().system == "Darwin": + resource.setrlimit( + resource.RLIMIT_STACK, (maximum_memory_bytes, maximum_memory_bytes) + ) + + faulthandler.disable() + + import builtins + + builtins.exit = None + builtins.quit = None + + import os + + os.environ["OMP_NUM_THREADS"] = "1" + + os.kill = None + os.system = None + os.putenv = None + os.remove = None + os.removedirs = None + os.rmdir = None + os.fchdir = None + os.setuid = None + os.fork = None + os.forkpty = None + os.killpg = None + os.rename = None + os.renames = None + os.truncate = None + os.replace = None + os.unlink = None + os.fchmod = None + os.fchown = None + os.chmod = None + os.chown = None + os.chroot = None + os.fchdir = None + os.lchflags = None + os.lchmod = None + os.lchown = None + os.getcwd = None + os.chdir = None + builtins.open = None + + import shutil + + shutil.rmtree = None + shutil.move = None + shutil.chown = None + + import subprocess + + subprocess.Popen = None # type: ignore + + __builtins__["help"] = None + + import sys + + sys.modules["ipdb"] = None + sys.modules["joblib"] = None + sys.modules["resource"] = None + sys.modules["psutil"] = None + sys.modules["tkinter"] = None diff --git a/evalplus/build/lib/evalplus/evalperf.py b/evalplus/build/lib/evalplus/evalperf.py new file mode 100644 index 0000000000000000000000000000000000000000..c6553cfeca9c332f57c9093da1ac38c232ce1ec4 --- /dev/null +++ b/evalplus/build/lib/evalplus/evalperf.py @@ -0,0 +1,558 @@ +"""Compute the Differential Performance Scores (DPS) and DPS_{norm} of given samples from a model. + +Check our COLM paper for more details: https://www.arxiv.org/abs/2408.06450 + +^Updates from the COLM paper: +* Condition to activate efficiency evaluation for a task: + * Paper: as long as you have at least one correct solution, and we select up to 10 correct solutions for efficiency sampling + * Here: you need to have at least `min_correct` correct solutions, and we evaluate the efficiency of all correct solutions + * Updating rationale: to make the evaluation more statistically robust + +@inproceedings{liu2024evaluating, + title = {Evaluating Language Models for Efficient Code Generation}, + author = {Liu, Jiawei and Xie, Songrun and Wang, Junhao and Wei, Yuxiang and Ding, Yifeng and Zhang, Lingming}, + booktitle = {First Conference on Language Modeling}, + year = {2024}, + url = {https://openreview.net/forum?id=IBCBMeAhmC}, +} +""" + +import json +import multiprocessing +import os +import socket +import time +from collections import defaultdict +from concurrent.futures import ThreadPoolExecutor, as_completed +from contextlib import closing +from datetime import datetime +from statistics import mean +from typing import Dict, List, Optional, Tuple + +import rich +from rich.rule import Rule +from rich.syntax import Syntax +from rich.table import Table + +from evalplus.codegen import run_codegen +from evalplus.config import * +from evalplus.config import PERF_EVAL_TIMEOUT_SECOND +from evalplus.data import ( + get_evalperf_data, + get_human_eval_plus, + get_human_eval_plus_hash, + get_mbpp_plus, + get_mbpp_plus_hash, +) +from evalplus.data.mbpp import mbpp_deserialize_inputs +from evalplus.data.utils import stream_jsonl +from evalplus.eval import PASS, untrusted_check +from evalplus.eval._special_oracle import MBPP_OUTPUT_NOT_NONE_TASKS +from evalplus.evaluate import get_groundtruth +from evalplus.perf.profile import ( + are_profiles_broken, + default_parallelism, + profile, + simple_test_profiler, +) +from evalplus.utils import progress + + +def rule(msg: str): + rich.print(Rule(msg)) + + +def not_none(l: list) -> list: + return [x for x in l if x is not None] + + +def get_free_port(): + with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s: + s.bind(("", 0)) + s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + return s.getsockname()[1] + + +def correctness_check( + solution: str, dataset: str, task: Dict, expected_output: List +) -> Tuple: + assert isinstance(solution, str) + result = untrusted_check( + dataset, + solution, + task["base_input"] + list(task["plus_input"]), + task["entry_point"], + expected_output["base"] + expected_output["plus"], + task["atol"], + expected_output["base_time"] + expected_output["plus_time"], + fast_check=True, + min_time_limit=DEFAULT_MIN_TIME_LIMIT, + gt_time_limit_factor=DEFAULT_GT_TIME_LIMIT_FACTOR, + ) + return result, solution + + +def get_evalplus_data(): + problems_he = get_human_eval_plus(noextreme=True) + dataset_hash = get_human_eval_plus_hash(noextreme=True) + expected_output_human = get_groundtruth(problems_he, dataset_hash, []) + problems_mbpp = get_mbpp_plus(noextreme=True) + dataset_hash = get_mbpp_plus_hash(noextreme=True) + expected_output_mbpp = get_groundtruth( + problems_mbpp, + dataset_hash, + MBPP_OUTPUT_NOT_NONE_TASKS, + ) + problems = {**problems_he, **problems_mbpp} + expected_output = {**expected_output_human, **expected_output_mbpp} + return problems, expected_output + + +def table_print(table_name: str, kv: Dict): + table = Table( + title=table_name, + show_header=True, + header_style="bold", + ) + for col_name in kv: + table.add_column(col_name) + + table.add_row(*[str(v) for v in kv.values()]) + rich.print(table) + + +def correctness_worker(task_id: str, samples: list, ctask: Dict, expected_output: Dict): + assert isinstance( + samples, list + ), f"{task_id}: samples is not a list but {type(samples)}" + + results = [] + + for solution in samples: + result, solution = correctness_check( + solution, task_id.split("/")[0].lower(), ctask, expected_output + ) + results.append( + { + "solution": solution, + "pass": result[0] == PASS, + "profiled": False, + "matching_cluster_idx": None, + "dps": None, + "dps_norm": None, + } + ) + + return task_id, results + + +def perf_worker( + task_id: str, + ptask: Dict, # EvalPerf data + ret_dict: Dict, + lazy_evaluation: bool, + max_profile: int, +): + rich.print(f"{task_id}: Started") + start_time = time.time() + + ######################### Profiling Setup ######################### + n_reference = len(ptask["reference"]) + entry_point = ptask["entry_point"] + pe_input = ( + mbpp_deserialize_inputs(task_id, ptask["pe_input"])[0] + if task_id.startswith("Mbpp/") + else ptask["pe_input"][0] + ) + #################################################################### + + #################################################################### + ############### Lazily profile reference solutions ################# + #################################################################### + cache_ref_num_inst = [None] * n_reference + + def get_avg_ref_profile(idx, check_order=True) -> Optional[Tuple]: + nonlocal cache_ref_num_inst + + assert ( + idx < n_reference - 1 + and cache_ref_num_inst[idx + 1] is not None + or idx == n_reference - 1 + ), f"Calling get_avg_ref_profile({idx}) before get_avg_ref_profile({idx+1}) is called, is not allowed! {n_reference = }" + + if cache_ref_num_inst[idx] is not None: + return cache_ref_num_inst[idx], ptask["scores"][idx] + + evaluation_time = PERF_EVAL_TIMEOUT_SECOND + ref_solution = ptask["reference"][idx] + for _ in range(2): # at most retry twice + profiles = profile( + ref_solution, + entry_point, + [pe_input], + timeout_second_per_test=evaluation_time, + ) + + # Bad thing#1: timeout / failure happens + if are_profiles_broken(profiles): + print(f"{task_id}: [WARNING] Error in ref: {profiles}") + rich.print(Syntax(ref_solution, "python")) + print(f"{task_id}: Retrying w/ +10s timeout...") + evaluation_time += 10 + else: + break + + avg_profile = mean(profiles) + # Bad thing#2: if the current #instruction is faster than that of i+1 + if idx < n_reference - 1 and avg_profile < cache_ref_num_inst[idx + 1]: + print(f"{task_id}: [WARNING] #{idx} ref faster than #{idx + 1}") + print(f"ref {idx}: #inst {avg_profile}\tscore {ptask['scores'][idx]:.1f}") + print( + f"ref {idx+1}: #inst {cache_ref_num_inst[idx+1]}\tscore {ptask['scores'][idx+1]:.1f}" + ) + rich.print(Syntax(ref_solution, "python")) + if check_order: + return None + + cache_ref_num_inst[idx] = avg_profile + ret_dict["ref"][idx]["_num_cpu_instructions"] = avg_profile + return cache_ref_num_inst[idx], ptask["scores"][idx] + + #################################################################### + ############################## END ################################# + #################################################################### + + if not lazy_evaluation: # compute everything ahead of time + for i in range(n_reference - 1, -1, -1): + if get_avg_ref_profile(i) is None: + break + + assert ( + None not in cache_ref_num_inst + ), f"{task_id}: Failed to profile certain reference: {cache_ref_num_inst = }" + + profile_cache = {} + + cur_profiled = 0 + for result in ret_dict["results"]: + if cur_profiled >= max_profile: + rich.print(f"{task_id}: Reached max_profile limit {max_profile}, stopped") + break + if not result["pass"]: + continue + + solution = result["solution"] + + if solution in profile_cache: # reuse cache + sample_profiles = profile_cache[solution] + else: + sample_profiles = profile( + solution, + entry_point, + [pe_input], + timeout_second_per_test=PERF_EVAL_TIMEOUT_SECOND, + ) + profile_cache[solution] = sample_profiles # store cache + + score = 0 + norm_score = 0 + result["matching_cluster_idx"] = -1 # -1 means even slower than the slowest ref + # if the solution results in a timeout, score is 0 + if are_profiles_broken(sample_profiles): + print( + f"{task_id}: Tested solution error'ed out: {sample_profiles} ... regarded as 0 score" + ) + rich.print(Syntax(solution, "python")) + else: + avg_sample_profile = result["_num_cpu_instructions"] = mean(sample_profiles) + # Get profiles from fast to slow (back to front): + for j in range(n_reference - 1, -1, -1): + avg_ref_profile, ref_score = get_avg_ref_profile(j, check_order=False) + if avg_sample_profile <= avg_ref_profile: + result["matching_cluster_idx"] = j + score = ref_score + norm_score = 100 * (j + 1) / n_reference + break + + result["dps"] = score + result["dps_norm"] = norm_score + result["profiled"] = True + cur_profiled += 1 + + ret_dict["dps"] = mean(not_none([r["dps"] for r in ret_dict["results"]])) + ret_dict["dps_norm"] = mean(not_none([r["dps_norm"] for r in ret_dict["results"]])) + ret_dict["n_profiled"] = cur_profiled + + table_print( + f"[bold green]{task_id} Completed[/]", + { + "Duration": f"{time.time() - start_time:.1f}s", + "DPS": f"[green]{ret_dict['dps']:.1f}[/]", + "DPS_norm": f"[green]{ret_dict['dps_norm']:.1f}[/]", + "# Profiled": f"{cur_profiled} / {len(ret_dict['results'])}", + "Pass@1": f"{ret_dict['pass@1']:.1f}%", + }, + ) + + return ret_dict + + +# TODO(@ganler): OPTIMIZATION: reuse the samples from the generations of other datasets +def script( + samples: Optional[str] = None, + min_correct: int = 10, + max_profile: Optional[int] = None, + n_samples: int = 100, + temperature: float = 1.0, + parallel: Optional[int] = None, + lazy_evaluation: bool = True, + i_just_wanna_run: bool = False, + **model_kwargs, +): + max_profile = max_profile or min(min_correct * 2, n_samples) + assert min_correct <= max_profile <= n_samples + simple_test_profiler() # test linux perf setup + + if model_kwargs: + # To suppress the warning of tokenizers + os.environ["TOKENIZERS_PARALLELISM"] = os.environ.get( + "TOKENIZERS_PARALLELISM", "false" + ) + # overwrite parameters + samples = run_codegen( + dataset="evalperf", + n_samples=n_samples, + temperature=temperature, + **model_kwargs, + ) + + assert samples is not None, "Please provide the path to the samples" + + # Data loading + problems, expected_output = get_evalplus_data() + ptasks = get_evalperf_data() + + # Parallelism + max_workers = parallel or max(1, default_parallelism(divisor=4)) + assert 0 < max_workers < multiprocessing.cpu_count(), "Invalid max CPU workers" + + if os.path.isdir(samples): + result_path = os.path.join(samples, "evalperf_results.json") + else: + assert samples.endswith(".jsonl") + result_path = samples.replace(".jsonl", "_evalperf_results.json") + brief_result_path = result_path.replace( + "evalperf_results.json", "evalperf_results.brief.json" + ) + + # resume results + eval_results = {} + if not i_just_wanna_run and os.path.exists(result_path): + resumed_result = json.load(open(result_path, "r")) + if ( + resumed_result["n_samples"] == n_samples + and resumed_result["temperature"] == temperature + and resumed_result["min_correct"] == min_correct + and resumed_result["max_profile"] == max_profile + ): + eval_results = resumed_result["eval"] + for etask in eval_results: + ptasks.pop(etask, None) + + rich.print(f"Resumed {len(eval_results)} results from {result_path}") + + # Load model's samples: task_id -> a list of samples + sample_iter = stream_jsonl(samples) + samples = defaultdict(list) + for task in sample_iter: + samples[task["task_id"].replace("_", "/")].append(task["solution"]) + samples = {k: v[:n_samples] for k, v in samples.items()} + + # assert each task has n_samples + for task_id, s in samples.items(): + assert len(s) == n_samples, f"{task_id} has {len(s)} samples != {n_samples}" + + # Initialize eval_results + for task_id, ptask in ptasks.items(): + eval_results[task_id] = { + "task_id": task_id, + "results": [], + "ref": [ + {"solution": s, "score": r, "_num_cpu_instructions": None} + for s, r in zip(ptask["reference"], ptask["scores"]) + ], + "dps": None, + "dps_norm": None, + "pass@1": None, + "n_profiled": None, + } + + rule("Correctness Checking...") + with progress("Correctness") as p: + with ThreadPoolExecutor(max_workers=max_workers) as executor: + futures = [ + executor.submit( + correctness_worker, + task_id, + samples[task_id], + problems[task_id], + expected_output[task_id], + ) + for task_id in ptasks + ] + + for future in p.track(as_completed(futures), total=len(futures)): + task_id, results = future.result() + eval_results[task_id]["results"] = results + eval_results[task_id]["pass@1"] = ( + 100 * len([r for r in results if r["pass"]]) / n_samples + ) + + rule("EvalPerf Configurations") + if lazy_evaluation: + rich.print( + "[bold yellow]Lazy evaluation is enabled[/]: " + "Fast evaluation without enumeratively checking reference order consistency." + ) + + table_print( + "Configurations", + { + "Max CPU": max_workers, + "#Tasks": len(ptasks), + "#Samples per task": n_samples, + "Min correct": min_correct, + "Max profile": max_profile, + "Result path": result_path, + }, + ) + + rich.print(f"IDs of tasks to evaluate: {list(ptasks.keys())}") + rule("Evaluation Start") + undone = [] + with progress("Profiling") as p: + with ThreadPoolExecutor(max_workers=max_workers) as executor: + futures = [] + for task_id, ptask in ptasks.items(): + n_pass = len([r for r in eval_results[task_id]["results"] if r["pass"]]) + if n_pass < min_correct: + rich.print( + f"{task_id}: [bold yellow]{n_pass} < {min_correct} correct solutions, skipped[/]" + ) + continue + futures.append( + executor.submit( + perf_worker, + task_id, + ptask, + eval_results[task_id], + lazy_evaluation, + max_profile, + ) + ) + undone.append(task_id) + rich.print(f"{task_id}: Queued") + + for future in p.track(as_completed(futures), total=len(futures)): + result = future.result() + eval_results[result["task_id"]] = result + undone.remove(result["task_id"]) + if undone and len(undone) < max_workers: + print(f"Still running: {undone}") + + rule("Evaluation Summary") + dps = mean(not_none([res["dps"] for res in eval_results.values()])) + dps_norm = mean(not_none([res["dps_norm"] for res in eval_results.values()])) + pass_1 = mean(not_none([res["pass@1"] for res in eval_results.values()])) + n_evalperfed = len(not_none([res["dps"] for res in eval_results.values()])) + + table_print( + "EvalPerf Summary", + { + "DPS": f"{dps:.1f}", + "DPS_norm": f"{dps_norm:.1f}", + "Pass@1": f"{pass_1:.1f}%", + "#EvalPerf-ed tasks": f"{n_evalperfed} / {len(eval_results)}", + "min_correct": min_correct, + "n_samples": n_samples, + "temperature": temperature, + }, + ) + + # Save full results + with open(result_path, "w") as f: + f.write( + json.dumps( + { + "date": datetime.now().strftime("%Y-%m-%d %H:%M"), + "n_samples": n_samples, + "temperature": temperature, + "min_correct": min_correct, + "max_profile": max_profile, + "eval": eval_results, + } + ) + ) + rich.print(f"Full results have been saved to {result_path}") + + # Save brief results + with open(brief_result_path, "w") as f: + f.write( + json.dumps( + { + "date": datetime.now().strftime("%Y-%m-%d %H:%M"), + "config": { + "n_samples": n_samples, + "temperature": temperature, + "min_correct": min_correct, + "max_profile": max_profile, + }, + "summary": { + "dps": dps, + "dps_norm": dps_norm, + "pass@1": pass_1, + }, + "eval": { + task_id: { + "dps": res["dps"], + "dps_norm": res["dps_norm"], + "pass@1": res["pass@1"], + "profiled": [ + { + "solution": r["solution"], + "matching_cluster_idx": r["matching_cluster_idx"], + } + for r in res["results"] + if r["profiled"] + ], + } + for task_id, res in eval_results.items() + }, + } + ) + ) + + rich.print(f"Brief results have been saved to {brief_result_path}") + + rule("To visualize win-rates and pair-wise DPS, run:") + rich.print( + Syntax( + f"""\ +git clone git@github.com:evalplus/evalplus.github.io.git +git --git-dir=evalplus.github.io/.git pull +cp {brief_result_path} evalplus.github.io/results/evalperf +python evalplus.github.io/results/evalperf/stats.py +python -m http.server -d evalplus.github.io {get_free_port()}""", + "bash", + ) + ) + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/build/lib/evalplus/evaluate.py b/evalplus/build/lib/evalplus/evaluate.py new file mode 100644 index 0000000000000000000000000000000000000000..bd675572d626df84611f71d00a2ca9e96a0e2bc8 --- /dev/null +++ b/evalplus/build/lib/evalplus/evaluate.py @@ -0,0 +1,375 @@ +import json +import multiprocessing +import os +import pickle +import threading +import time +from collections import Counter, defaultdict +from concurrent.futures import ProcessPoolExecutor, as_completed +from datetime import datetime +from typing import Any, Dict, List, Optional, Tuple +from warnings import warn + +import numpy as np +from termcolor import cprint +from tqdm import tqdm + +from evalplus.codegen import run_codegen +from evalplus.config import * +from evalplus.data import ( + get_human_eval_plus, + get_human_eval_plus_hash, + get_mbpp_plus, + get_mbpp_plus_hash, + load_solutions, +) +from evalplus.data.mbpp import mbpp_serialize_inputs +from evalplus.data.utils import CACHE_DIR +from evalplus.eval import ( + PASS, + compatible_eval_result, + estimate_pass_at_k, + untrusted_check, +) +from evalplus.eval._special_oracle import MBPP_OUTPUT_NOT_NONE_TASKS +from evalplus.gen.util import trusted_exec + +# 1st item: the status +# 2nd item (optional): the detailed pass/fail boolean for each input +Result = Tuple[str, List[bool]] + + +def get_groundtruth(problems, hashcode, tasks_only_output_not_none): + cache_file = os.path.join(CACHE_DIR, f"{hashcode}.pkl") + if os.path.exists(cache_file): + print(f"Load from ground-truth from {cache_file}") + with open(cache_file, "rb") as f: + return pickle.load(f) + + os.makedirs(CACHE_DIR, exist_ok=True) + print("Computing expected output...") + tbegin = time.time() + expected_output = {} + for task_id, problem in problems.items(): + oracle = {} + oracle["base"], oracle["base_time"] = trusted_exec( + problem["prompt"] + problem["canonical_solution"], + problem["base_input"], + problem["entry_point"], + record_time=True, + output_not_none=problem["entry_point"] in tasks_only_output_not_none, + ) + + oracle["plus"], oracle["plus_time"] = trusted_exec( + problem["prompt"] + problem["canonical_solution"], + problem["plus_input"], + problem["entry_point"], + record_time=True, + output_not_none=problem["entry_point"] in tasks_only_output_not_none, + ) + expected_output[task_id] = oracle + print(f"Expected outputs computed in {time.time() - tbegin:.2f}s") + + with open(cache_file, "wb") as f: + pickle.dump(expected_output, f) + + return expected_output + + +def check_correctness( + dataset: str, + completion_id: int, + problem: Dict[str, Any], + solution: str, + expected_output: Dict[str, List], + base_only=False, + fast_check=False, + identifier=None, + min_time_limit: float = DEFAULT_MIN_TIME_LIMIT, + gt_time_limit_factor: float = DEFAULT_GT_TIME_LIMIT_FACTOR, +) -> Dict[str, Result]: # {...}, "base" | "plus" -> (status, details) + ret = { + "completion_id": completion_id, + "task_id": problem["task_id"], + "_identifier": identifier, + "solution": solution, + } + ret["base"] = untrusted_check( + dataset, + solution, + problem["base_input"], + problem["entry_point"], + expected=expected_output["base"], + atol=problem["atol"], + ref_time=expected_output["base_time"], + fast_check=fast_check, + min_time_limit=min_time_limit, + gt_time_limit_factor=gt_time_limit_factor, + ) + + if not base_only: + ret["plus"] = untrusted_check( + dataset, + solution, + problem["plus_input"], + problem["entry_point"], + expected=expected_output["plus"], + atol=problem["atol"], + ref_time=expected_output["plus_time"], + fast_check=fast_check, + min_time_limit=min_time_limit, + gt_time_limit_factor=gt_time_limit_factor, + ) + + return ret + + +def evaluate( + dataset: str, + samples: Optional[str] = None, + base_only: bool = False, + parallel: Optional[int] = None, + i_just_wanna_run: bool = False, + test_details: bool = False, + min_time_limit: float = DEFAULT_MIN_TIME_LIMIT, + gt_time_limit_factor: float = DEFAULT_GT_TIME_LIMIT_FACTOR, + mini: bool = False, + noextreme: bool = False, + version: str = "default", + output_file: Optional[str] = None, + gguf_file: Optional[str] = None, + **model_kwargs, +): + if model_kwargs: + # To suppress the warning of tokenizers + os.environ["TOKENIZERS_PARALLELISM"] = os.environ.get( + "TOKENIZERS_PARALLELISM", "false" + ) + samples = run_codegen( + dataset=dataset, + gguf_file=gguf_file, + **model_kwargs, + ) + assert samples is not None, "No samples provided" + + n_workers = parallel or max(1, multiprocessing.cpu_count() // 2) + + if os.path.isdir(samples): + result_path = os.path.join(samples, "eval_results.json") + else: + assert samples.endswith(".jsonl") + # legacy compatibility + if os.path.exists(samples.replace(".jsonl", "_eval_results.json")): + result_path = samples.replace(".jsonl", "_eval_results.json") + else: + result_path = samples.replace(".jsonl", ".eval_results.json") + + if output_file is not None: + result_path = output_file + + if os.path.isfile(result_path) and not i_just_wanna_run: + print(f"Load from previous results from {result_path}") + with open(result_path, "r") as f: + results = json.load(f) + + results = compatible_eval_result(results) + else: + if dataset == "humaneval": + problems = get_human_eval_plus( + mini=mini, noextreme=noextreme, version=version + ) + dataset_hash = get_human_eval_plus_hash( + mini=mini, noextreme=noextreme, version=version + ) + expected_output = get_groundtruth(problems, dataset_hash, []) + elif dataset == "mbpp": + problems = get_mbpp_plus(mini=mini, noextreme=noextreme, version=version) + dataset_hash = get_mbpp_plus_hash( + mini=mini, noextreme=noextreme, version=version + ) + expected_output = get_groundtruth( + problems, + dataset_hash, + MBPP_OUTPUT_NOT_NONE_TASKS, + ) + + results = { + "date": datetime.now().strftime("%Y-%m-%d %H:%M"), + "hash": dataset_hash, + "eval": {}, + } + + with ProcessPoolExecutor(max_workers=n_workers) as executor: + futures = [] + completion_id = Counter() + n_samples = 0 + eval_results = defaultdict(list) # task_id -> + remainings = set() + + print("Reading samples...") + for sample in tqdm(load_solutions(samples)): + task_id = sample["task_id"] + if task_id not in problems: + warn( + f"Task {task_id} is found in the samples but not found in the dataset" + ) + continue + solution = ( + sample["solution"] + if "solution" in sample + else problems[task_id]["prompt"] + sample["completion"] + ) + remainings.add(sample["_identifier"]) + args = ( + dataset, + completion_id[task_id], + problems[task_id], + solution, + expected_output[task_id], + base_only, + not test_details, # fast_check + sample["_identifier"], + min_time_limit, + gt_time_limit_factor, + ) + futures.append(executor.submit(check_correctness, *args)) + completion_id[task_id] += 1 + n_samples += 1 + + assert n_samples == len(remainings), "Missing problems in unfinished" + assert len(completion_id) == len(problems), "Missing problems in samples" + + def stucking_checker(): + while remainings: + last_size = len(remainings) + time.sleep(20) + if last_size != len(remainings) or len(remainings) == 0: + continue + # Potential stucking + warn("No samples had finished testing in the last 20s") + warn(f"{len(remainings)} samples to be tested: {remainings}") + + threading.Thread(target=stucking_checker).start() + + for future in tqdm(as_completed(futures), total=n_samples): + result = future.result() + remainings.remove(result["_identifier"]) + eval_results[result["task_id"]].append(result) + + # sort the results for each problem by completion_id + for task_id, task_results in eval_results.items(): + task_results.sort(key=lambda x: x["completion_id"]) + results["eval"][task_id] = [] + for res in task_results: + + def get_failed_tests(stat, details, inputs) -> List[Any]: + if stat == PASS or not details: + return [] + + if test_details: + return [ + inputs[i] for i in range(len(details)) if not details[i] + ] + + # else => simply return the only and the last fail test + return [inputs[len(details) - 1]] + + base_stat, base_details = res["base"] + base_fail_tests = get_failed_tests( + base_stat, base_details, problems[task_id]["base_input"] + ) + + # initialize plus tests + plus_stat = None + plus_fail_tests = [] + + # with plus tests + if not base_only: + plus_stat, plus_details = res["plus"] + plus_fail_tests = get_failed_tests( + plus_stat, plus_details, problems[task_id]["plus_input"] + ) + + if dataset == "mbpp": + base_fail_tests = mbpp_serialize_inputs(task_id, base_fail_tests) + plus_fail_tests = mbpp_serialize_inputs(task_id, plus_fail_tests) + + results["eval"][task_id].append( + { + "task_id": task_id, + "solution": res["solution"], + "base_status": base_stat, + "plus_status": plus_stat, + "base_fail_tests": base_fail_tests, + "plus_fail_tests": plus_fail_tests, + } + ) + + # Calculate pass@k. + total = np.array([len(r) for r in results["eval"].values()]) + base_correct = [] + new_correct = [] + + for res in results["eval"].values(): + bc = sum([r["base_status"] == PASS for r in res]) + base_correct.append(bc) + if not base_only: + new_correct.append( + sum( + [ + res[i]["base_status"] == res[i]["plus_status"] == PASS + for i in range(len(res)) + ] + ) + ) + base_correct = np.array(base_correct) + + pass_at_k = { + f"pass@{k}": estimate_pass_at_k(total, base_correct, k).mean() + for k in [1, 10, 100] + if total.min() >= k + } + cprint(f"{dataset} (base tests)", "red") + for k, v in pass_at_k.items(): + cprint(f"{k}:\t{v:.3f}", "red") + results["pass_at_k"] = {"base": pass_at_k} + + if new_correct: + cprint(f"{dataset}+ (base + extra tests)", "green") + pass_at_k = { + f"pass@{k}": estimate_pass_at_k(total, np.array(new_correct), k).mean() + for k in [1, 10, 100] + if (total >= k).all() + } + for k, v in pass_at_k.items(): + cprint(f"{k}:\t{v:.3f}", "green") + results["pass_at_k"]["plus"] = pass_at_k + + # save results + if os.path.isfile(result_path) and i_just_wanna_run: + decision = "" + while decision.lower() not in ["y", "n"]: + print(f"{result_path} already exists. Press [Y/N] to overwrite or exit...") + decision = input() + + if decision.lower() == "y": + # mv the file to a backup + new_path = result_path + ".bak" + while os.path.isfile(new_path): + new_path += ".bak" + os.rename(result_path, new_path) + print(f"Backup {result_path} to {new_path}") + + if not os.path.isfile(result_path): + with open(result_path, "w") as f: + json.dump(results, f) + + +def main(): + from fire import Fire + + Fire(evaluate) + + +if __name__ == "__main__": + main() diff --git a/evalplus/build/lib/evalplus/gen/__init__.py b/evalplus/build/lib/evalplus/gen/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..765cc2c5cd334fc52625a708e495dbc54f43822a --- /dev/null +++ b/evalplus/build/lib/evalplus/gen/__init__.py @@ -0,0 +1,21 @@ +import copy +from typing import Any, List + + +class BaseGen(object): + def __init__(self, inputs: List[Any], entry_point: str, contract: str): + """Initializing a input mutator. + + Args: + inputs (List[Any]): The set of initial inputs (i.e., seeds) + entry_point (str): The function name to invoke with the input + contract (str): The contract to verify input validity + """ + self.contract = contract + self.entry_point = entry_point + self.seed_pool: List[Any] = copy.deepcopy(inputs) + self.new_inputs = [] + self.seed_hash = set([hash(str(x)) for x in self.seed_pool]) + + def generate(self, num: int) -> List[Any]: + raise NotImplementedError diff --git a/evalplus/build/lib/evalplus/gen/chatgpt_gen.py b/evalplus/build/lib/evalplus/gen/chatgpt_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..0b4118eb940669f8a632a31d663c90e9c87e6950 --- /dev/null +++ b/evalplus/build/lib/evalplus/gen/chatgpt_gen.py @@ -0,0 +1,78 @@ +import ast +import random +from typing import List + +import openai +from openai.types.chat import ChatCompletion + +from evalplus.data.utils import to_raw +from evalplus.gen import BaseGen +from evalplus.gen.util import trusted_check_exec +from evalplus.gen.util.openai_request import make_auto_request + + +class ChatGPTGen(BaseGen): + def __init__(self, inputs: List, signature: str, contract_code: str, gd_code: str): + super().__init__(inputs, signature, contract_code) + self.gd_code = gd_code + self.prompt_messages = [ + "Please generate complex inputs to test the function.", + "Please generate corner case inputs to test the function.", + "Please generate difficult inputs to test the function.", + ] + self.iteration = 20 + self.client = openai.Client() + + def seed_selection(self) -> List: + # get 5 for now. + return random.sample(self.seed_pool, k=min(len(self.seed_pool), 5)) + + @staticmethod + def _parse_ret(ret: ChatCompletion) -> List: + rets = [] + output = ret.choices[0].message.content + if "```" in output: + for x in output.split("```")[1].splitlines(): + if x.strip() == "": + continue + try: + # remove comments + input = ast.literal_eval(f"[{x.split('#')[0].strip()}]") + except: # something wrong. + continue + rets.append(input) + return rets + + def chatgpt_generate(self, selected_inputs: List) -> List: + # append the groundtruth function + # actually it can be any function (maybe we can generate inputs for each llm generated code individually) + message = f"Here is a function that we want to test:\n```\n{self.gd_code}\n```" + str_inputs = "\n".join( + [ + ", ".join([f"'{to_raw(i)}'" if type(i) == str else str(i) for i in x]) + for x in selected_inputs + ] + ) + message += f"\nThese are some example inputs used to test the function:\n```\n{str_inputs}\n```" + message += f"\n{random.choice(self.prompt_messages)}" + ret = make_auto_request( + self.client, + message=message, + model="gpt-3.5-turbo", + max_tokens=256, + response_format={"type": "text"}, + ) + return self._parse_ret(ret) + + def generate(self, num: int): + while len(self.new_inputs) < num and self.iteration >= 0: + seeds = self.seed_selection() + new_inputs = self.chatgpt_generate(seeds) + for new_input in new_inputs: + if hash(str(new_input)) not in self.seed_hash: + if trusted_check_exec(self.contract, [new_input], self.entry_point): + self.seed_pool.append(new_input) + self.seed_hash.add(hash(str(new_input))) + self.new_inputs.append(new_input) + self.iteration -= 1 + return self.new_inputs[:num] diff --git a/evalplus/build/lib/evalplus/gen/mut_gen.py b/evalplus/build/lib/evalplus/gen/mut_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..93eb5c512d52a575e5e19a446a5fde60e8cb6317 --- /dev/null +++ b/evalplus/build/lib/evalplus/gen/mut_gen.py @@ -0,0 +1,30 @@ +import random +from abc import abstractmethod +from typing import Any, List + +from evalplus.gen import BaseGen +from evalplus.gen.util import trusted_check_exec + + +class MutateGen(BaseGen): + def __init__(self, inputs: List, signature: str, contract_code: str): + super().__init__(inputs, signature, contract_code) + + def seed_selection(self): + # random for now. + return random.choice(self.seed_pool) + + @abstractmethod + def mutate(self, seed_input: Any) -> Any: + pass + + def generate(self, num: int) -> List[Any]: + while len(self.new_inputs) < num: + seed = self.seed_selection() + new_input = self.mutate(seed) + if hash(str(new_input)) not in self.seed_hash: + if trusted_check_exec(self.contract, [new_input], self.entry_point): + self.seed_pool.append(new_input) + self.seed_hash.add(hash(str(new_input))) + self.new_inputs.append(new_input) + return self.new_inputs[:num] diff --git a/evalplus/build/lib/evalplus/gen/type_mut.py b/evalplus/build/lib/evalplus/gen/type_mut.py new file mode 100644 index 0000000000000000000000000000000000000000..f926dda8463e98f98ff14c3d9a305f0138c28022 --- /dev/null +++ b/evalplus/build/lib/evalplus/gen/type_mut.py @@ -0,0 +1,340 @@ +import copy +import random +import string +import time +from typing import Any, Dict, List, Set, Tuple + +from multipledispatch import dispatch + +from evalplus.gen.mut_gen import MutateGen +from evalplus.gen.util import trusted_check_exec + +MAX_MULTI_STEP_SIZE = 5 +MUTATE_BOUND_SIZE = 8 + +NoneType = type(None) + + +# decorator to use ingredients +class use_ingredient: + def __init__(self, prob: float): + assert 0 <= prob <= 0.95 + self.prob = prob + + def __call__(obj, func): + def wrapper(self, seed_input): + if random.random() < obj.prob and self.ingredients[type(seed_input)]: + return random.choice(list(self.ingredients[type(seed_input)])) + else: + return func(self, seed_input) + + return wrapper + + +class TypedMutGen(MutateGen): + def __init__(self, inputs: List, signature: str, contract_code: str): + super().__init__(inputs, signature, contract_code) + self.timeout = 60 * 60 # 1 hour + self.ingredients = { + int: set(), + float: set(), + str: set(), + complex: set(), + } + for x in inputs: + self.fetch_ingredient(x) + + def seed_selection(self): + # random for now. + return random.choice(self.seed_pool) + + def mutate(self, seed_input: Any) -> List: + new_input = copy.deepcopy(seed_input) + + patience = MUTATE_BOUND_SIZE + while new_input == seed_input or patience == 0: + new_input = self.typed_mutate(new_input) + patience -= 1 + + return new_input + + ######################### + # Type-aware generation # + ######################### + @dispatch(NoneType) + def typed_gen(self, _): + return None + + @dispatch(int) + def typed_gen(self, _): + @use_ingredient(0.5) + def _impl(*_): + return random.randint(-100, 100) + + return _impl(self, _) + + @dispatch(float) + def typed_gen(self, _): + @use_ingredient(0.5) + def _impl(*_): + return random.uniform(-100, 100) + + return _impl(self, _) + + @dispatch(bool) + def typed_gen(self, _): + return random.choice([True, False]) + + @dispatch(str) + def typed_gen(self, _): + @use_ingredient(0.5) + def _impl(*_): + return "".join( + random.choice(string.ascii_letters) + for _ in range(random.randint(0, 10)) + ) + + return _impl(self, _) + + def any_gen(self): + # weighted choose + choice = random.choices( + [ + True, + 1, + 1.1, + "str", + [], # list + tuple(), # tuple + dict(), # dict + None, # None + ], + [0.2, 0.2, 0.2, 0.2, 0.05, 0.05, 0.05, 0.05], + )[0] + return self.typed_gen(choice) + + @dispatch(list) + def typed_gen(self, _): + ret = [] + size = random.randint(0, 10) + if random.randint(0, 4) == 0: # heterogeneous + for _ in range(size): + ret.append(self.any_gen()) + else: # homogeneous + t = random.choice([bool(), int(), float(), str()]) + for _ in range(size): + ret.append(self.typed_gen(t)) + return ret + + @dispatch(tuple) + def typed_gen(self, _): + return tuple(self.typed_gen([])) + + # NOTE: disable set for now as Steven is too weak in Python (/s) + # @dispatch(set) + # def typed_gen(self, _): + # return set(self.typed_gen([])) + + @dispatch(dict) + def typed_gen(self, _): + ret = dict() + values = self.typed_gen([]) + # NOTE: Assumption: nobody uses dict with heterogeneous keys + # NOTE: Assumption: nobody uses dict with boolean keys + key_type = random.choice([int(), float(), str()]) + for v in values: + ret[self.typed_gen(key_type)] = self.typed_gen(v) + return ret + + ######################## + # Type-aware mutation # + ######################## + # Simple primitives + @dispatch(int) + def typed_mutate(self, seed_input: int): + @use_ingredient(0.5) + def _impl(_, seed_input: int): + return seed_input + random.randint(-1, 1) + + return _impl(self, seed_input) + + @dispatch(float) + def typed_mutate(self, seed_input: float): + @use_ingredient(0.5) + def _impl(_, seed_input: float): + if random.randint(0, 1): + return seed_input + random.uniform(-1, 1) + return seed_input * (1 + random.uniform(-0.5, 0.5)) + + return _impl(self, seed_input) + + @dispatch(complex) + def typed_mutate(self, seed_input: complex): + @use_ingredient(0.5) + def _impl(_, seed_input: complex): + imag = seed_input.imag + random.uniform(-1, 1) + return complex(0, imag) + + return _impl(self, seed_input) + + @dispatch(bool) + def typed_mutate(self, seed_input: bool): + return random.choice([True, False]) + + @dispatch(NoneType) + def typed_mutate(self, seed_input: NoneType): + return None + + # List-like + @dispatch(list) + def typed_mutate(self, seed_input: List): + if len(seed_input) == 0: + return self.typed_gen([]) + + choice = random.randint(0, 3) + idx = random.randint(0, len(seed_input) - 1) + if choice == 0: # remove one element + seed_input.pop(random.randint(0, len(seed_input) - 1)) + elif choice == 1 and len(seed_input) > 0: # add one mutated element + seed_input.insert( + random.randint(0, len(seed_input) - 1), + self.typed_mutate(seed_input[idx]), + ) + elif choice == 2 and len(seed_input) > 0: # repeat one element + seed_input.append(seed_input[idx]) + else: # inplace element change + seed_input[idx] = self.typed_mutate(seed_input[idx]) + return seed_input + + @dispatch(tuple) + def typed_mutate(self, seed_input: Tuple): + return tuple(self.typed_mutate(list(seed_input))) + + # String + @dispatch(str) + def typed_mutate(self, seed_input: str): + @use_ingredient(0.4) + def _impl(_, seed_input: str): + choice = random.randint(0, 2) if seed_input else 0 + if choice == 0 and self.ingredients[str]: # insert an ingredient + idx = random.randint(0, len(seed_input)) + return ( + seed_input[:idx] + + random.choice(list(self.ingredients[str])) + + seed_input[idx:] + ) + # other choices assume len(seed_input) > 0 + elif choice == 1: # replace a substring with empty or mutated string + start = random.randint(0, len(seed_input) - 1) + end = random.randint(start + 1, len(seed_input)) + mid = ( + "" + if random.randint(0, 1) + else self.typed_mutate(seed_input[start:end]) + ) + return seed_input[:start] + mid + seed_input[end:] + elif choice == 2: # repeat one element + idx = random.randint(0, len(seed_input) - 1) + return ( + seed_input[:idx] + + seed_input[random.randint(0, len(seed_input) - 1)] + + seed_input[idx:] + ) + + # random char + return self.typed_gen(str()) + + return _impl(self, seed_input) + + # Set + @dispatch(set) + def typed_mutate(self, seed_input: Set): + return set(self.typed_mutate(list(seed_input))) + + # Dict + @dispatch(dict) + def typed_mutate(self, seed_input: Dict): + if len(seed_input) == 0: + return self.typed_gen(dict()) + + choice = random.randint(0, 2) + if choice == 0: # remove a kv + del seed_input[random.choice(list(seed_input.keys()))] + elif choice == 1: # add a kv + k = self.typed_mutate(random.choice(list(seed_input.keys()))) + v = self.typed_mutate(random.choice(list(seed_input.values()))) + seed_input[k] = v + elif choice == 2: # inplace value change + k0, v0 = random.choice(list(seed_input.items())) + seed_input[k0] = self.typed_mutate(v0) + return seed_input + + ############################################ + # Fetching ingredients to self.ingredients # + ############################################ + def fetch_ingredient(self, seed_input): + self.typed_fetch(seed_input) + + @dispatch(int) + def typed_fetch(self, seed_input: int): + self.ingredients[int].add(seed_input) + + @dispatch(float) + def typed_fetch(self, seed_input: float): + self.ingredients[float].add(seed_input) + + @dispatch(complex) + def typed_fetch(self, seed_input: complex): + self.ingredients[complex].add(seed_input) + + @dispatch(str) + def typed_fetch(self, seed_input: str): + self.ingredients[str].add(seed_input) + for token in seed_input.strip().split(): + self.ingredients[str].add(token) + + # List-like + def _fetch_list_like(self, seed_input): + for x in seed_input: + if self.typed_fetch.dispatch(type(x)): + self.fetch_ingredient(x) + + @dispatch(list) + def typed_fetch(self, seed_input: List): + self._fetch_list_like(seed_input) + + @dispatch(tuple) + def typed_fetch(self, seed_input: Tuple): + self._fetch_list_like(seed_input) + + # NOTE: disable set for now as Steven is too weak in Python (/s) + # @dispatch(set) + # def typed_fetch(self, seed_input: Set): + # self._fetch_list_like(seed_input) + + # Dict + @dispatch(dict) + def typed_fetch(self, seed_input: Dict): + self._fetch_list_like(seed_input.keys()) + self._fetch_list_like(seed_input.values()) + + def generate(self, num: int): + start = time.time() + num_generated = 1 + while len(self.new_inputs) < num and time.time() - start < self.timeout: + if num_generated % 1000 == 0: + print( + f"generated {num_generated} already with {len(self.new_inputs)} new inputs ... " + ) + new_input = self.seed_selection() + # Multi-step instead of single-step + for _ in range(random.randint(1, MAX_MULTI_STEP_SIZE)): + new_input = self.mutate(new_input) + num_generated += 1 + if hash(str(new_input)) not in self.seed_hash: + if trusted_check_exec(self.contract, [new_input], self.entry_point): + self.typed_fetch(new_input) + self.seed_pool.append(new_input) + self.new_inputs.append(new_input) + self.seed_hash.add(hash(str(new_input))) + return self.new_inputs[:num] diff --git a/evalplus/build/lib/evalplus/gen/util/__init__.py b/evalplus/build/lib/evalplus/gen/util/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..2fe4874020c46a6994e974c63e4f6397c5ebb25f --- /dev/null +++ b/evalplus/build/lib/evalplus/gen/util/__init__.py @@ -0,0 +1,40 @@ +import time +from copy import deepcopy + +from evalplus.eval.utils import time_limit + + +def trusted_exec(code, inputs, entry_point, record_time=False, output_not_none=False): + """Execute trusted code in place.""" + exec_globals = {} + exec(code, exec_globals) + fn = exec_globals[entry_point] + + rtime = [] + ret = [] + for inp in inputs: + inp = deepcopy(inp) + if record_time: + start = time.time() + ret.append(fn(*inp)) + rtime.append(time.time() - start) + else: + ret.append(fn(*inp)) + + if output_not_none: + ret = [i is not None for i in ret] + + if record_time: + return ret, rtime + else: + return ret + + +def trusted_check_exec(code, inputs, entry_point): + """Check trusted_exec success.""" + try: + with time_limit(seconds=1.0): + trusted_exec(code, inputs, entry_point) + except Exception: + return False + return True diff --git a/evalplus/build/lib/evalplus/gen/util/anthropic_request.py b/evalplus/build/lib/evalplus/gen/util/anthropic_request.py new file mode 100644 index 0000000000000000000000000000000000000000..dd7b7821d0c12ca89a63e879ebb96202d0c1560d --- /dev/null +++ b/evalplus/build/lib/evalplus/gen/util/anthropic_request.py @@ -0,0 +1,47 @@ +import signal +import time + +import anthropic +from anthropic.types import Message + + +def handler(signum, frame): + # swallow signum and frame + raise Exception("end of time") + + +def make_auto_request(client: anthropic.Client, *args, **kwargs) -> Message: + ret = None + while ret is None: + try: + signal.signal(signal.SIGALRM, handler) + signal.alarm(100) + ret = client.messages.create(*args, top_p=0.95, **kwargs) + signal.alarm(0) + except anthropic.RateLimitError: + print("Rate limit exceeded. Waiting...") + signal.alarm(0) + time.sleep(5) + except anthropic.APIConnectionError: + print("API connection error. Waiting...") + signal.alarm(0) + time.sleep(5) + except anthropic.InternalServerError: + print("Internal server error. Waiting...") + signal.alarm(0) + time.sleep(5) + except anthropic.APIError as e: + print("Unknown API error") + print(e) + if ( + e.body["error"]["message"] + == "Output blocked by content filtering policy" + ): + raise Exception("Content filtering policy blocked output") + signal.alarm(0) + except Exception as e: + print("Unknown error. Waiting...") + print(e) + signal.alarm(0) + time.sleep(1) + return ret diff --git a/evalplus/build/lib/evalplus/gen/util/openai_request.py b/evalplus/build/lib/evalplus/gen/util/openai_request.py new file mode 100644 index 0000000000000000000000000000000000000000..a974e1f0b619b04a3f26d99ac5d131cf0210f5e0 --- /dev/null +++ b/evalplus/build/lib/evalplus/gen/util/openai_request.py @@ -0,0 +1,51 @@ +import time + +import openai +from openai.types.chat import ChatCompletion + + +def make_request( + client: openai.Client, + message: str, + model: str, + max_tokens: int = 512, + temperature: float = 1, + n: int = 1, + **kwargs +) -> ChatCompletion: + kwargs["top_p"] = 0.95 + kwargs["max_completion_tokens"] = max_tokens + if model.startswith("o1-"): # pop top-p and max_completion_tokens + kwargs.pop("top_p") + kwargs.pop("max_completion_tokens") + temperature = 1.0 # o1 models do not support temperature + + return client.chat.completions.create( + model=model, + messages=[ + {"role": "user", "content": message}, + ], + temperature=temperature, + n=n, + **kwargs + ) + + +def make_auto_request(*args, **kwargs) -> ChatCompletion: + ret = None + while ret is None: + try: + ret = make_request(*args, **kwargs) + except openai.RateLimitError: + print("Rate limit exceeded. Waiting...") + time.sleep(5) + except openai.APIConnectionError: + print("API connection error. Waiting...") + time.sleep(5) + except openai.APIError as e: + print(e) + except Exception as e: + print("Unknown error. Waiting...") + print(e) + time.sleep(1) + return ret diff --git a/evalplus/build/lib/evalplus/inputgen.py b/evalplus/build/lib/evalplus/inputgen.py new file mode 100644 index 0000000000000000000000000000000000000000..aaa4dddf40071d90c6b10095b62900fb85161148 --- /dev/null +++ b/evalplus/build/lib/evalplus/inputgen.py @@ -0,0 +1,108 @@ +"""Generate a .jsonl file where each line is a json object +representing a programming problem with a task ID ("task_id") +and a list of enhanced inputs ("inputs") for that task. +""" + +import argparse +import json +import os + +from evalplus.data.mbpp import mbpp_serialize_inputs +from evalplus.gen.chatgpt_gen import ChatGPTGen +from evalplus.gen.type_mut import TypedMutGen + + +class SetEncoder(json.JSONEncoder): + def default(self, obj): + if isinstance(obj, set): + return list(obj) + return json.JSONEncoder.default(self, obj) + + +# Used for MBPP as MBPP's prompt is not a formal function signature +def insert_contract_into_code(entry_point, code, contract): + lines = code.split("\n") + index = lines.index( + next(line for line in lines if line.startswith(f"def {entry_point}")) + ) + lines.insert(index + 1, contract) + return "\n".join(lines) + + +def input_generation(args, problems): + with open(args.output, "w") as file: + for problem in problems.values(): + new_input = {} + task_id = problem["task_id"] + print(f"generating inputs for {task_id} ...") + # by default we do not include constraints in the prompt (code) + code = problem["prompt"] + problem["canonical_solution"] + # but we use c_code to include contract which checks input validity at execution time + if args.dataset == "humaneval": + c_code = ( + problem["prompt"] + + problem["contract"] + + problem["canonical_solution"] + ) + elif args.dataset == "mbpp": + c_code = problem["prompt"] + insert_contract_into_code( + entry_point=problem["entry_point"], + code=problem["canonical_solution"], + contract=problem["contract"], + ) + + # first generate chatgpt + input_gen = ChatGPTGen( + problem["base_input"], problem["entry_point"], c_code, code + ).generate(args.chatgpt_len) + # generate mutation next + + if input_gen is None or len(input_gen) == 0: + new_input["task_id"] = task_id + new_input["inputs"] = {} + file.write(json.dumps(new_input, cls=SetEncoder) + "\n") + continue + + input_gen.extend( + TypedMutGen(input_gen, problem["entry_point"], c_code).generate( + args.mut_len + ) + ) + print(f"generated {len(input_gen)} inputs") + new_input["task_id"] = task_id + if args.dataset == "mbpp": + new_input["inputs"] = mbpp_serialize_inputs(task_id, input_gen) + new_input["inputs"] = input_gen + file.write(json.dumps(new_input, cls=SetEncoder) + "\n") + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument( + "--dataset", required=True, type=str, choices=["humaneval", "mbpp"] + ) + parser.add_argument("--chatgpt_len", required=True, type=int) + parser.add_argument("--mut_len", required=True, type=int) + parser.add_argument("--output", type=str, help="Output .jsonl path") + args = parser.parse_args() + + problems = None + if args.dataset == "humaneval": + from evalplus.data import get_human_eval_plus + + # Allow it to be incomplete + problems = get_human_eval_plus(err_incomplete=False) + args.output = args.output or "HumanEvalPlusInputs.jsonl" + + if args.dataset == "mbpp": + from evalplus.data import get_mbpp_plus + + problems = get_mbpp_plus(err_incomplete=False) + args.output = args.output or "MbppPlusInput.jsonl" + + assert not os.path.isfile(args.output), f"{args.output} already exists!" + input_generation(args, problems) + + +if __name__ == "__main__": + main() diff --git a/evalplus/build/lib/evalplus/lecacy_sanitize.py b/evalplus/build/lib/evalplus/lecacy_sanitize.py new file mode 100644 index 0000000000000000000000000000000000000000..a6bd8d6283fb5571a432982ff79a91f60e5a4e3f --- /dev/null +++ b/evalplus/build/lib/evalplus/lecacy_sanitize.py @@ -0,0 +1,201 @@ +"""Legacy version of post-processing LLM-generated Python code. +This sanitizer is implemented using regex and string manipulation. +You might want to use the latest tree-sitter-based sanitizer (evalplus.sanitize) instead. +""" + +import os +import pathlib +import re +from typing import List, Optional + +from tqdm import tqdm + +from evalplus.data import ( + get_human_eval_plus, + get_mbpp_plus, + load_solutions, + write_directory, + write_jsonl, +) +from evalplus.syncheck import syntax_check + + +def remove_unindented_lines( + code: str, protect_before: str, execeptions: List[str], trim_tails: List[str] +) -> str: + lines = code.splitlines() + cut_idx = [] + cut_enabled = False + for i, line in enumerate(lines): + if not cut_enabled and line.startswith(protect_before): + cut_enabled = True + continue + if line.strip() == "": + continue + if any(line.startswith(e) for e in execeptions): + continue + + lspace = len(line) - len(line.lstrip()) + if lspace == 0: + cut_idx.append(i) + + if any(line.rstrip().startswith(t) for t in trim_tails): + # cut off everything behind + cut_idx.extend(list(range(i, len(lines)))) + break + + return "\n".join([line for i, line in enumerate(lines) if i not in cut_idx]) + + +def to_four_space_indents(old_code): + new_code = "" + for line in old_code.splitlines(): + lspace = len(line) - len(line.lstrip()) + if lspace == 3: + new_code += " " + new_code += line + "\n" + return new_code + + +def sanitize( + old_code: str, + entry_point: str, + rm_prefix_lines: Optional[str] = None, + eofs: List = None, +): + new_code = old_code + if rm_prefix_lines is not None: + new_code = "\n".join( + [ + line + for line in old_code.splitlines() + if not line.startswith(rm_prefix_lines) + ] + ) + + new_code = "\n" + new_code + def_left = "def " + entry_point + + # basic handling of chat output + new_code = new_code.replace("\n```python\n", "\n```\n") + for chunk in new_code.split("\n```\n"): + if def_left in chunk: + new_code = chunk + break + + chunks = [chunk for chunk in re.split(f"{def_left}\\s*\\(", new_code)] + # TODO: having return does not mean this is complete + bodies = [chunk for chunk in chunks[1:] if " return " in chunk.split("\ndef")[0]] + def_left = def_left + "(" + new_code = def_left + def_left.join(bodies) if len(bodies) > 0 else "" # fn + impl + new_code = to_four_space_indents(new_code) + + for eof in eofs or []: + new_code = new_code.split(eof)[0] + + # remove lines starting from the first unindented line after def_left + new_code = remove_unindented_lines( + new_code, + protect_before=def_left, + execeptions=["def ", "import ", "from "], + trim_tails=['"""', "if", "print"], + ) + new_code = chunks[0] + new_code + + # cut all functions that are not syntactically correct && not the entry point + parts = new_code.split("\ndef ") + includes = [parts[0]] + for fn in new_code.split("\ndef ")[1:]: + if ( + fn.strip().startswith(entry_point + " ") + or fn.strip().startswith(entry_point + "(") + or syntax_check("\ndef " + fn) + ): + includes.append(fn) + new_code = "\ndef ".join(includes) + return new_code.strip() + + +def script( + samples: str, + eofs: List[str] = [], + inplace: bool = False, + rm_prefix_lines: str = None, + debug_task: str = None, + mbpp_version: str = "default", +): + # task_id -> entry_point + entry_point = {} + dataset = {**get_human_eval_plus(), **get_mbpp_plus(version=mbpp_version)} + + for task_id, problem in dataset.items(): + entry_point[task_id] = problem["entry_point"] + + # make a new folder with "-sanitized" suffix + is_folder = os.path.isdir(samples) + target_path = pathlib.Path(samples) + if not inplace: + if is_folder: + new_name = target_path.name + "-sanitized" + else: + new_name = target_path.name.replace(".jsonl", "-sanitized.jsonl") + target_path = target_path.parent / new_name + target_path = str(target_path) + + nsan = 0 + ntotal = 0 + + new_solutions = [] + + for solution in tqdm(load_solutions(samples)): + task_id = solution["task_id"] + dbg_identifier = solution["_identifier"] + if debug_task is not None and task_id != debug_task: + continue + + ntotal += 1 + if "solution" in solution: + old_code = solution["solution"] + else: + assert "completion" in solution + old_code = dataset[task_id]["prompt"] + "\n" + solution["completion"] + + old_code = old_code.strip() + + new_code = sanitize( + old_code=old_code, + entry_point=entry_point[task_id], + rm_prefix_lines=rm_prefix_lines, + eofs=eofs, + ).strip() + + # if changed, print the message + if new_code != old_code: + msg = "Sanitized: " + dbg_identifier + if is_folder: + msg += " -> " + dbg_identifier.replace(samples, target_path) + print(msg) + nsan += 1 + + new_solutions.append({"task_id": task_id, "solution": new_code}) + + if is_folder: + write_directory(target_path, new_solutions) + else: + write_jsonl(target_path, new_solutions) + + if nsan > 0: + print(f"Sanitized {nsan} out of {ntotal} files.") + else: + print(f"All files seems valid -- no files are sanitized.") + print(f"Check the sanitized files at {target_path}") + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/build/lib/evalplus/perf/__init__.py b/evalplus/build/lib/evalplus/perf/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/evalplus/build/lib/evalplus/perf/profile.py b/evalplus/build/lib/evalplus/perf/profile.py new file mode 100644 index 0000000000000000000000000000000000000000..8d23b55e7dc77e6d1dc69f5e02fe52183059b200 --- /dev/null +++ b/evalplus/build/lib/evalplus/perf/profile.py @@ -0,0 +1,183 @@ +import time +from concurrent.futures import ProcessPoolExecutor +from multiprocessing import Process, Value, cpu_count +from platform import system +from time import perf_counter +from traceback import format_exc +from typing import Any, Callable, List, Optional + +import psutil +from cirron import Collector + +from evalplus.config import PERF_PROFILE_ROUNDS, PERF_RAM_GB_PER_PROC +from evalplus.eval.utils import ( + TimeoutException, + create_tempdir, + reliability_guard, + swallow_io, + time_limit, +) + + +def get_max_ram_gb(): + total_ram = psutil.virtual_memory().total + return total_ram / (1024**3) + + +def default_parallelism(divisor=4): + return max(1, max(cpu_count(), get_max_ram_gb() // PERF_RAM_GB_PER_PROC) // divisor) + + +def simple_test_profiler(): + # assert linux + assert system() == "Linux", "EvalPerf requires Linux's perf_event_open" + try: + with Collector(): + pass + except Exception as e: + print("It seems your system does not support instruction counting.") + print("Try this on Linux:") + print(" sudo sh -c 'echo 0 > /proc/sys/kernel/perf_event_paranoid' ") + print("Also check more info at: https://github.com/s7nfo/Cirron") + print("Re-raising the original exception...") + raise e + + +def are_profiles_broken(profiles) -> bool: + return not all(isinstance(profile, (float, int)) for profile in profiles) + + +def physical_runtime_profiler(function, test_inputs) -> float: + start = perf_counter() + for test_input in test_inputs: + function(*test_input) + return perf_counter() - start + + +def num_instruction_profiler(function, test_inputs) -> int: + with Collector() as c: + for test_input in test_inputs: + function(*test_input) + return int(c.counters.instruction_count) + + +_STAT_NONE = 0 +_STAT_START = 1 +_STAT_SUCC = 2 +_STAT_ERROR = 3 + + +def get_instruction_count_shared_mem( + profiler: Callable, + func_code: str, + entry_point: str, + test_inputs: List[Any], + timeout_second_per_test: float, + memory_bound_gb: int, + warmup_inputs: Optional[List[Any]], + # shared memory + compute_cost, # Value("d", 0.0), + progress, # Value("i", 0), +) -> Optional[float]: + + error = None + + with create_tempdir(): + # These system calls are needed when cleaning up tempdir. + import os + import shutil + + rmtree = shutil.rmtree + rmdir = os.rmdir + chdir = os.chdir + + # Disable functionalities that can make destructive changes to the test. + maximum_memory_bytes = memory_bound_gb * 1024 * 1024 * 1024 + reliability_guard(maximum_memory_bytes=maximum_memory_bytes) + exec_globals = {} + + # run (eval) the func def + exec(func_code, exec_globals) + fn = exec_globals[entry_point] + + # warmup the function + if warmup_inputs: + for _ in range(3): + fn(*warmup_inputs) + + progress.value = _STAT_START + try: # run the function + with time_limit(timeout_second_per_test): + with swallow_io(): + compute_cost.value = profiler(fn, test_inputs) + progress.value = _STAT_SUCC + except TimeoutException: + print("[Warning] Profiling hits TimeoutException") + except MemoryError: + print("[Warning] Profiling hits MemoryError") + except: + print("[CRITICAL] ! Unknown exception during profiling !") + error = format_exc() + print(error) + + if progress.value != _STAT_SUCC: + progress.value = _STAT_ERROR + + # Needed for cleaning up. + shutil.rmtree = rmtree + os.rmdir = rmdir + os.chdir = chdir + + +def profile( + func_code: str, + entry_point: str, + test_inputs: List[Any], + timeout_second_per_test: float, + memory_bound_gb: int = PERF_RAM_GB_PER_PROC, + profile_rounds: int = PERF_PROFILE_ROUNDS, + profiler: Callable = num_instruction_profiler, + warmup_inputs: Optional[List[Any]] = None, # multiple inputs +) -> List[int | float | str]: + """Profile the func_code against certain input tests. + The function code is assumed to be correct and if a string is returned, it is an error message. + """ + timeout = timeout_second_per_test * len(test_inputs) * profile_rounds + + def _run(): + compute_cost = Value("d", 0.0) + progress = Value("i", _STAT_NONE) + + p = Process( + target=get_instruction_count_shared_mem, + args=( + profiler, + func_code, + entry_point, + test_inputs, + timeout_second_per_test, + memory_bound_gb, + warmup_inputs, + # shared memory + compute_cost, + progress, + ), + ) + p.start() + p.join(timeout=timeout + 1) + if p.is_alive(): + p.terminate() + time.sleep(0.1) + + if p.is_alive(): + p.kill() + time.sleep(0.1) + + if progress.value == _STAT_SUCC: + return compute_cost.value + elif progress.value == _STAT_NONE: + return "PROFILING DID NOT START" + elif progress.value == _STAT_ERROR: + return "SOLUTION ERROR ENCOUNTERED WHILE PROFILING" + + return [_run() for _ in range(profile_rounds)] diff --git a/evalplus/build/lib/evalplus/perf/sampling.py b/evalplus/build/lib/evalplus/perf/sampling.py new file mode 100644 index 0000000000000000000000000000000000000000..6957e590b3eb9bc6cd65691dbeed28dd8a24980e --- /dev/null +++ b/evalplus/build/lib/evalplus/perf/sampling.py @@ -0,0 +1,295 @@ +import json +import os +import re +from concurrent.futures import ProcessPoolExecutor +from copy import deepcopy +from traceback import format_exc +from typing import Any, List, Optional, Tuple + +from pympler.asizeof import asizeof +from rich.syntax import Syntax +from termcolor import colored + +from evalplus.config import PERF_CURATE_TIMEOUT_SECOND, PERF_RAM_GB_PER_PROC +from evalplus.data import get_human_eval_plus, get_mbpp_plus +from evalplus.data.mbpp import mbpp_serialize_inputs +from evalplus.eval.utils import TimeoutException, reliability_guard, time_limit +from evalplus.sanitize import syntax_check +from evalplus.utils import progress + + +# this is more of a hack... rather than a "verified" implementation +def insert_contract(entry_point: str, code: str, contract: str): + # why is this so complicated? because the contract might be mis-indented... + def get_first_indent_size(source, body_char_start_idx): + assert source.strip() + indent_size = 0 + while source[body_char_start_idx - indent_size - 1] == " ": + indent_size += 1 + return indent_size + + code = code.replace("\t", " " * 4) + contract = contract.replace("\t", " " * 4) + + lines = [line for line in code.split("\n") if line.strip()] + fn_def_line = [line for line in lines if line.startswith(f"def {entry_point}")][0] + def_line_idx = lines.index(fn_def_line) + body_start_idx = code.index(code.split(fn_def_line)[1].lstrip()) + + source_indent: int = get_first_indent_size(code, body_start_idx) + contract_indent: int = get_first_indent_size( + contract, len(contract) - len(contract.lstrip()) + ) + return "\n".join( + lines[: def_line_idx + 1] + + [ + " " * max(0, source_indent - contract_indent) + cline + for cline in contract.split("\n") + if cline + ] + + [ + " " * max(0, contract_indent - source_indent) + sline + for sline in lines[def_line_idx + 1 :] + if sline + ] + ) + + +def post_process(text: str) -> Optional[str]: + """Post-process the LLM generated text to make it valid.""" + if "\n```" not in text: + return None + + # split ```python3 or ```python + text = re.split(r"\n```python3?\n", text)[1] + text = text.split("\n```")[0].strip() + + # perform syntax check + if not syntax_check(text): + print(colored("⚠️ Syntax check failed for the code below:", "red")) + print(text[:256], "..." if len(text) > 256 else "") + return None + + return text + + +# returns: +# 1. generated and validated (by the contract) inputs +# 2. whether the generator stops in a well-defined manner +# -- if False, we might want to try another generator +def sample_one_input( + ref_code_with_contract: str, + entry_point: str, + generator_code: str, + timeout_second: float = PERF_CURATE_TIMEOUT_SECOND + 1, +) -> Tuple[List[Any], bool]: + # These system calls are needed when cleaning up tempdir. + import os + import shutil + + rmtree = shutil.rmtree + rmdir = os.rmdir + chdir = os.chdir + # Disable functionalities that can make destructive changes to the test. + # :imit memory usages. + maximum_memory_bytes = PERF_RAM_GB_PER_PROC * 1024 * 1024 * 1024 + reliability_guard(maximum_memory_bytes=maximum_memory_bytes) + exec_globals = {} + + # eval the func def with contract + exec(ref_code_with_contract, exec_globals) + fn = exec_globals[entry_point] + + # eval the generator + generator_code = "from typing import *\n" + generator_code + try: + exec(generator_code, exec_globals) + generator = exec_globals["perf_input_gen"] + except Exception: + print(colored(f"⚠️ [GEN EVAL] Exception ~ {entry_point}:", "red")) + print(colored(format_exc(), "red")) + return [], False + + well_defined_exit = True + return_inputs = [] + + for fac in range(1, 27): + scale = 2**fac + print(f"[INPUT GEN] scale=2**{fac}") + try: + with time_limit(timeout_second): + test_input = generator(scale) + if not isinstance(test_input, tuple): + test_input = (test_input,) + # integers should stay in the range of 64-bit + if any( + isinstance(arg, int) and not (-(2**63) <= arg < 2**63) + for arg in test_input + ): + print(colored(f"[INPUT GEN] Int overflow against 64bit", "yellow")) + break + # hack list integer + if isinstance(test_input[0], list) and any( + not (-(2**63) <= v < 2**63) + for v in test_input[0] + if isinstance(v, int) + ): + print(colored(f"[INPUT GEN] Int overflow against 64bit", "yellow")) + break + # stop here if the input is of 64M. + INPUT_LIMIT_MB = 64 + if asizeof(test_input) > 1024 * 1024 * INPUT_LIMIT_MB: + print(colored(f"[INPUT GEN] Size > {INPUT_LIMIT_MB}MB", "yellow")) + break + except TimeoutException: + print(colored(f"[INPUT GEN] TimeoutException at scale=2**{fac}", "yellow")) + break + except MemoryError: + print(colored(f"[INPUT GEN] MemoryError at scale=2**{fac}", "yellow")) + break + except Exception: + print(colored(f"⚠️ [INPUT GEN] Exception at scale=2**{fac}", "red")) + print(colored(format_exc(), "red")) + well_defined_exit = False + break + + try: + with time_limit(timeout_second): + # deepcopy in case fn modifies the input + fn(*deepcopy(test_input)) + return_inputs = [test_input] # only keep on input + except TimeoutException: + print(colored(f"[Testing] Timeout at scale=2**{fac}", "yellow")) + break + except MemoryError: + print(colored(f"[Testing] MemoryError at scale=2**{fac}", "yellow")) + break + except Exception: + print(colored(f"⚠️ [Testing] Exception ~ {entry_point}", "red")) + print(colored(format_exc(), "red")) + well_defined_exit = False + break + + # Needed for cleaning up. + shutil.rmtree = rmtree + os.rmdir = rmdir + os.chdir = chdir + + return return_inputs, well_defined_exit + + +def main(input: str, output: str): + """In the synthesizer file, each line includes a set of input generators for a task. + The goal of this script is to use these generators to sample inputs for each task. + The generated inputs are expected to be valid. + """ + assert output.endswith(".jsonl"), "output must be a .jsonl file" + + id2task = {} + for task_id, item in get_human_eval_plus().items(): + id2task[task_id] = item + + for task_id, item in get_mbpp_plus().items(): + id2task[task_id] = item + + # loading the synthesizers + with open(input, "r") as f: + synthesizers = [json.loads(l) for l in f] + + n_total = 0 + n_parsed = 0 + n_dedup = 0 + + for item in synthesizers: + item["synthesizers"] = [post_process(s) for s in item["synthesizers"]] + n_total += len(item["synthesizers"]) + item["synthesizers"] = [s for s in item["synthesizers"] if s is not None] + n_parsed += len(item["synthesizers"]) + + dedup_set = set() + for s in item["synthesizers"]: + dedup_set.add( + "\n".join( + [l for l in s.splitlines() if l.strip() and not l.startswith("#")] + ) + ) + item["synthesizers"] = list(dedup_set) + n_dedup += len(item["synthesizers"]) + + print( + colored( + f"#Total {n_total} with {n_parsed} parsed => {100 * (1 - n_parsed / n_total) :.1f}% syntax err", + "green", + ) + ) + + print( + colored( + f"#Parsed {n_parsed} with {n_dedup} dedup => {100 * (1 - n_dedup / n_parsed) :.1f}% duplicate", + "green", + ) + ) + + # resume mode check finished tasks + finished_tasks = set() + if os.path.isfile(output): + with open(output, "r") as f: + for l in f: + item = json.loads(l) + finished_tasks.add(item["task_id"]) + + print("Resumed finished tasks:", finished_tasks) + with open(output, "ab+") as f: + with progress() as p: + for item in p.track(synthesizers): + task_id = item["task_id"] + entry_point = id2task[task_id]["entry_point"] + if task_id in finished_tasks: + p.console.print(f"{task_id}: {entry_point} ~ Resumed") + continue + + ref_code_with_contract = insert_contract( + entry_point, item["ref_code"], id2task[task_id]["contract"] + ) + p.console.print(f"{task_id}: PE input generation...") + p.console.print(Syntax(ref_code_with_contract.strip(), "python")) + + results = [] + for i, generator_code in enumerate(item["synthesizers"]): + p.console.print( + f"Using generator {i+1}/{len(item['synthesizers'])}:" + ) + p.console.print(Syntax(generator_code, "python")) + args = ( + ref_code_with_contract, + entry_point, + generator_code, + ) + with ProcessPoolExecutor(max_workers=1) as executor: + tmp_results, status = executor.submit( + sample_one_input, *args + ).result() + + results.extend(tmp_results) + + # if the func returns in a well-defined manner, we can stop here. + if status: + break + + p.console.print("Serializing and storing results...") + + if "Mbpp/" in task_id: + results = mbpp_serialize_inputs(task_id, results) + + to_write = {"task_id": item["task_id"], "inputs": results} + to_write = (json.dumps(to_write) + "\n").encode("utf-8") + + # task_id => list of inputs + f.write(to_write) + f.flush() + + +if __name__ == "__main__": + import fire + + fire.Fire(main) diff --git a/evalplus/build/lib/evalplus/perf/sas.py b/evalplus/build/lib/evalplus/perf/sas.py new file mode 100644 index 0000000000000000000000000000000000000000..f2b7b0fe5610c6e5e1086f381308dba027a687cb --- /dev/null +++ b/evalplus/build/lib/evalplus/perf/sas.py @@ -0,0 +1,168 @@ +"""This file implements the "Synthesizing an Synthesizer" idea using OpenAI API. +Specifically, for each HumanEval+ and MBPP+ task, we generate n test input synthesizers +by querying a vLLM server (https://docs.vllm.ai/en/latest/). +""" + +import json +from typing import Optional + +import openai +from tqdm import tqdm + +from evalplus.data import get_human_eval_plus, get_mbpp_plus + + +def fewshot_cot( + task_id, + client: openai.OpenAI, + entry_point: str, + code: str, + model: str, + n: int = 1, + max_tokens: int = 2048, +): + responses = client.completions.create( + model=model, + prompt=f'''\ +You are an AI programming assistant, proficient in analyzing and generating Python code. \ +You are going to produce a self-contained Python function to generate a large input for a given function, \ +to test its performance at scale. +### Instruction: +Generate a `perf_input_gen(scale: int)` function to produce a "large" input to exercise the performance of the `add` function: +```python3 +def add(x: int, y: int): + """Add two numbers x and y + >>> add(2, 3) + 5 + >>> add(5, 7) + 12 + """ + return x + y +``` +### Response: +Analysis: +1. Input format: two integers `x` and `y` +2. Is this task O(1) solvable? Yes +### Instruction: +Generate a `perf_input_gen(scale: int)` function to produce a "large" input to exercise the performance of the `prime_num` function: +```python3 +""" +Write a function to check if a number is prime or not. +assert prime_num(2) == True +""" +import math +def prime_num(num): + if num < 2: return False + for i in range(2, math.isqrt(num)): + if num % i == 0: + return False + return True +``` +### Response: +Analysis: +1. Input format: An integer `n` +2. Is this task O(1) solvable? No +3. Time complexity: O(n) +4. Space complexity: O(1) +5. What kind of input can exercise its performance? Large prime numbers +```python3 +# Can reuse the `prime_num` function +# `scale` is a rough estimate of the input size -- larger `scale` means larger input +# use case: prime_num(*perf_input_gen(scale)) +import random +def perf_input_gen(scale: int): + for i in range(scale, 2, -1): + if prime_num(i): + return (i,) + return (2,) +``` +### Instruction: +Generate a `perf_input_gen(scale: int)` function to produce a "large" input to exercise the performance of the `{entry_point}` function: +```python3 +{code} +``` +### Response: +Analysis: +1. Input format: ''', + n=n, + stop=["\n```\n", "\n2. Is this task O(1) solvable? Yes"], + max_tokens=max_tokens, + temperature=0.2, + ) + + # warn if any response is out of context + for r in responses.choices: + if r.finish_reason == "length": + print(f"Warning: response is too long for {task_id}") + + return [r.text for r in responses.choices] + + +def main( + output: str, # output file + n: int = 16, # sample size and batch size + model: Optional[str] = "TheBloke/deepseek-coder-33B-instruct-AWQ", + port: str = 8088, +): + assert output.endswith(".jsonl"), "output must be a .jsonl file" + + base_url = f"http://localhost:{port}/v1" + print(f"Trying to query vLLM model: {model} at {base_url}") + print(f"Note: To use SaS, you need to first set up a vLLM server for {model}") + print(f"For example:") + print( + f"""python -m vllm.entrypoints.openai.api_server \\ +--model "{model}" \\ +--port {port} \\ +--tensor-parallel-size 2 \\ +--max-num-seqs 16 \\ +--gpu-memory-utilization 1.0""" + ) + + # "task_id" -> { "task_id", "entry_point", "ref_code", } + tasks = {} + for task_id, item in get_human_eval_plus().items(): + tasks[task_id] = { + "task_id": task_id, + "entry_point": item["entry_point"], + "ref_code": item["prompt"] + item["canonical_solution"], + } + + for task_id, item in get_mbpp_plus().items(): + tasks[task_id] = { + "task_id": task_id, + "entry_point": item["entry_point"], + "ref_code": item["prompt"] + item["canonical_solution"], + } + + # Using vLLM as a backend, please make sure that a vLLM server is available first. + # vLLM document: https://docs.vllm.ai/en/latest/ + client = openai.OpenAI(api_key="none", base_url=base_url) + + with open(output, "w") as f: + for task_id, item in tqdm(tasks.items(), total=len(tasks)): + responses = fewshot_cot( + task_id=task_id, + client=client, + entry_point=item["entry_point"], + code=item["ref_code"], + model=model, + n=n, + ) + f.write( + json.dumps( + { + "task_id": task_id, + "ref_code": item["ref_code"], + "synthesizers": responses, + } + ) + + "\n" + ) + f.flush() + + +if __name__ == "__main__": + import fire + + fire.Fire(main) diff --git a/evalplus/build/lib/evalplus/perf/select_pe_inputs.py b/evalplus/build/lib/evalplus/perf/select_pe_inputs.py new file mode 100644 index 0000000000000000000000000000000000000000..950ff510d275f1837f213f2e0df152475e2dab32 --- /dev/null +++ b/evalplus/build/lib/evalplus/perf/select_pe_inputs.py @@ -0,0 +1,126 @@ +"""Select the most performance-exercising inputs from pe_inputs obtained from `sampling.py`. +""" + +import json +from statistics import median + +from tqdm import tqdm + +from evalplus.config import PERF_CURATE_TIMEOUT_SECOND +from evalplus.data import get_human_eval_plus, get_mbpp_plus +from evalplus.data.mbpp import mbpp_deserialize_inputs, mbpp_serialize_inputs +from evalplus.perf.profile import are_profiles_broken, profile + + +def script(solutions: str, output_profiled_solutions: str, pe_inputs: str = None): + assert solutions.endswith(".jsonl") + assert pe_inputs is None or pe_inputs.endswith(".jsonl") + assert output_profiled_solutions.endswith(".jsonl") + + evalplus = get_human_eval_plus(noextreme=True) + mbppplus = get_mbpp_plus(noextreme=True) + tasks = {**evalplus, **mbppplus} + + # assume each line's format is: { + # "task_id": task's id, + # "inputs": a list of inputs, + inputs_dict = None + + if pe_inputs is not None: + print("Loading performance-exercising inputs...") + with open(pe_inputs, "r") as f: + inputs_dict = { + task["task_id"]: task["inputs"] for l in f for task in [json.loads(l)] + } + + # Notably, the solutions are already validated and cleaned. + with open(solutions, "r") as f: + solutions = {} + for l in f: + solution = json.loads(l) + solutions[solution["task_id"]] = solution["solution"] + + for task_id, task in tqdm(tasks.items()): + if inputs_dict: + inputs = ( + mbpp_deserialize_inputs(task_id, inputs_dict[task_id]) + if "Mbpp/" in task_id + else inputs_dict[task_id] + ) + else: + inputs = task["base_input"] + list(task["plus_input"]) + + input_costs = [] + + if task_id.startswith("HumanEval"): + canonical_solution = task["prompt"] + task["canonical_solution"] + else: + canonical_solution = task["canonical_solution"] + + for inp in inputs: + costs = profile( + canonical_solution, + task["entry_point"], + [inp], + timeout_second_per_test=PERF_CURATE_TIMEOUT_SECOND, + ) + if are_profiles_broken(costs): + continue + input_costs.append((median(costs), inp)) + input_costs.sort(reverse=True, key=lambda x: x[0]) + + for _, pe_input in input_costs: + solution_costs = [] + + for solution in solutions[task_id]: + costs = profile( + solution, + task["entry_point"], + [pe_input], + timeout_second_per_test=PERF_CURATE_TIMEOUT_SECOND, + ) + if not are_profiles_broken(costs): + solution_costs.append(costs) + continue + + # stop once we find the first also the most performance-exercising input + break + + # This means no timeouts happen for the input, so we use it. + if len(solution_costs) == len(solutions[task_id]): + break + + # If no satisfied input found, we don't save any profiled data. + if len(input_costs) == 0 or len(solution_costs) != len(solutions[task_id]): + print(f"Skipping {task_id}...") + pe_input = None + solution_costs = None + else: + pe_input = ( + mbpp_serialize_inputs(task_id, [pe_input]) + if task_id.startswith("Mbpp/") + else [pe_input] + ) + + with open(output_profiled_solutions, "a") as f: + f.write( + json.dumps( + { + "task_id": task_id, + "pe_input": pe_input, + "solutions": solutions[task_id], + "counter_profile": solution_costs, + } + ) + + "\n" + ) + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/build/lib/evalplus/perf/select_pe_tasks.py b/evalplus/build/lib/evalplus/perf/select_pe_tasks.py new file mode 100644 index 0000000000000000000000000000000000000000..56ffc1742f4f3777d1317b2c19220be6351fdd53 --- /dev/null +++ b/evalplus/build/lib/evalplus/perf/select_pe_tasks.py @@ -0,0 +1,240 @@ +"""Analyze the variance of PE and their time cost. +Filter those with high variance and low time cost. +""" + +import json +import math +from datetime import datetime +from typing import List + +import numpy as np +from rich.console import Console +from rich.syntax import Syntax +from termcolor import colored + +from evalplus.config import PREF_CURATE_MIN_INSTRUCTION + + +def cv(time_costs: List[float]) -> float: + """ + We use Coefficient of Variation (CV) to as the variance of PE. + CV = 100 * standard deviation / mean + """ + if len(time_costs) == 0: + raise ValueError("time_costs is empty.") + return 100 * np.std(time_costs) / np.mean(time_costs) + + +def filter_by_profile_size(task2profile: dict, threshold: int = 10): + to_remove = [] + for task_id, profile in task2profile.items(): + if ( + profile is None + or len(profile) < threshold + or any(None in p for p in profile) + ): + print(colored(f"⚠️ {task_id} skipped: #profile < {threshold}", "red")) + to_remove.append(task_id) + for task_id in to_remove: + del task2profile[task_id] + return task2profile + + +def filter_by_compute_cost( + task2profile: dict, thresh: float = PREF_CURATE_MIN_INSTRUCTION +): + """Filter out tasks that can be solved using less than threshold #instruction.""" + to_remove = [] + for task_id, profile in task2profile.items(): + if ( + min(np.mean(p) for p in profile) < thresh + ): # filter if some solution is too fast + print( + colored( + f"⚠️ {task_id} skipped: some solution is faster than {thresh} #instruction", + "red", + ) + ) + to_remove.append(task_id) + for task_id in to_remove: + del task2profile[task_id] + return task2profile + + +def filter_by_cv(task2profile: dict, thresh: float, percentile: int = 95): + to_remove = [] + for task_id, profile in task2profile.items(): + mean_var = np.percentile([cv(p) for p in profile], percentile) + if mean_var > thresh: + print( + colored( + f"⚠️ {task_id} skipped: P{percentile} CV = {mean_var:.1f}% > {thresh}%", + "red", + ) + ) + to_remove.append(task_id) + for task_id in to_remove: + del task2profile[task_id] + return task2profile + + +# smaller time, larger threshold +def thresh_fn(base_thresh, x, weight=0.002): + return base_thresh + math.sqrt(weight / x) + + +def adaptive_seg1d(arr1d, base_thresh=0.10): + # sort from large to small + arr1d = np.sort(arr1d)[::-1] + # relative distance + relative_distance = -np.diff(arr1d) / arr1d[:-1] + + splitter_idx = [] + for i, rel in enumerate(relative_distance): + if rel > thresh_fn(base_thresh, arr1d[i], weight=PREF_CURATE_MIN_INSTRUCTION): + splitter_idx.append(i + 1) + + # [9, 8, 7, |-> 3, 2 1] + # splitter_idx points to the slowest in each cluster + return np.split(arr1d, splitter_idx) + + +def filter_by_clustering(task2profile: dict, base_threshold=0.2, min_clusters=3): + to_remove = [] + for task_id, profile in task2profile.items(): + if len(adaptive_seg1d(np.mean(profile, axis=1), base_threshold)) < min_clusters: + print( + colored( + f"⚠️ {task_id} skipped: #Cluster = 0 with {base_threshold=}%", + "red", + ) + ) + to_remove.append(task_id) + for task_id in to_remove: + del task2profile[task_id] + return task2profile + + +def brief_list_repr(lst, head_count=4, tail_count=4): + if len(lst) <= head_count + tail_count: + return f"{lst}" + else: + head = ", ".join(str(x) for x in lst[:head_count]) + tail = ", ".join(str(x) for x in lst[-tail_count:]) + return f"[{head}, ..., {tail}]" + + +def script( + profiled_solutions: str, + output_dataset: str = f"evalperf-{datetime.now():%Y%m%d}.jsonl", + debug_tasks: List[str] = [], + min_clusters=4, +): + assert profiled_solutions.endswith(".jsonl") + assert output_dataset.endswith(".jsonl") + + # read jsonl + with open(profiled_solutions, "r") as f: + profiled_solutions = [json.loads(l) for l in f if l.strip()] + + console = Console() + + task2profile = {d["task_id"]: d["counter_profile"] for d in profiled_solutions} + print(f"Loaded {len(task2profile)} tasks.") + + # * Criteria 1: Profile cannot be empty + task2profile = filter_by_profile_size(task2profile) + print(f"{len(task2profile)} tasks with profile.") + + # * Criteria 2: Solutions should run more than MIN_SLOWEST_INSTRUCTION_COUNT + task2profile = filter_by_compute_cost(task2profile) + print( + f"{len(task2profile)} tasks with slowest mean time > {PREF_CURATE_MIN_INSTRUCTION}s." + ) + + # * Criteria 3: P99-CV should be less than 5% + final_thresh = 5 + percentile = 99 + task2profile = filter_by_cv( + task2profile, thresh=final_thresh, percentile=percentile + ) + print(f"{len(task2profile)} tasks with CV <= {final_thresh}%.") + + # * Criteria 4: Cluster should be more than 1 + task2profile = filter_by_clustering( + task2profile, base_threshold=0.2, min_clusters=min_clusters + ) + print(f"{len(task2profile)} tasks with #Cluster >= {min_clusters}.") + + # export dataset + task2solution = {d["task_id"]: d for d in profiled_solutions} + # each item is {"task_id": "xxx", "solutions": [...], "percentile": [...]} + export_dataset = [] + total_clusters = 0 + for task_id, profile in task2profile.items(): + print(colored(f"-========== {task_id} ==========-", "green")) + if task_id in debug_tasks: + print(colored(f"Debugging {task_id}", "red")) + mean_runtime = [np.mean(p) for p in profile] + clusters = adaptive_seg1d(mean_runtime) # descend + print(colored(f"#seg = {len(clusters)}", "green")) + + accumulative_ratio = [] + ref_idx = [] + for i, cluster in enumerate(clusters): + prior_ar = 0 if i == 0 else accumulative_ratio[-1] + ratio = 100 * len(cluster) / len(mean_runtime) + acc_ratio = prior_ar + ratio + brief_list_str = brief_list_repr([round(1000 * v) for v in cluster]) + print( + f"#{i} |{len(cluster):<3}| ({acc_ratio:<4.1f}) @cv {cv(cluster):.1f}: {brief_list_str}" + ) + accumulative_ratio.append(acc_ratio) + ref_idx.append(np.where(mean_runtime == cluster[0])[0][0]) + + if task_id in debug_tasks: + # print solutions + solution_text = task2solution[task_id]["solutions"][ref_idx[-1]] + # remove empty lines + solution_text = "\n".join( + line for line in solution_text.split("\n") if line.strip() + ) + console.print(Syntax(solution_text, "python")) + print(colored("-" * 32, "green")) + + total_clusters += len(clusters) + + # add reference solution and check consistency + for i in range(len(ref_idx)): + if i == 0: + continue + # prior runtime must be larger than current + assert mean_runtime[ref_idx[i - 1]] > mean_runtime[ref_idx[i]] + + reference = [task2solution[task_id]["solutions"][idx] for idx in ref_idx] + + assert len(reference) == len(clusters) + assert len(accumulative_ratio) == len(reference) + item = { + "task_id": task_id, + "reference": reference, + "pe_input": task2solution[task_id]["pe_input"], + "scores": accumulative_ratio, + } + export_dataset.append(item) + + print(f"Total clusters: {total_clusters}") + + with open(output_dataset, "w") as f: + for item in export_dataset: + f.write(json.dumps(item) + "\n") + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/build/lib/evalplus/provider/__init__.py b/evalplus/build/lib/evalplus/provider/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..83f39dcfc2f3991c36486faa88848acfaf37c33d --- /dev/null +++ b/evalplus/build/lib/evalplus/provider/__init__.py @@ -0,0 +1,122 @@ +from evalplus.provider.base import DecoderBase + + +def make_model( + model: str, + backend: str, + dataset: str, + batch_size: int = 1, + temperature: float = 0.0, + force_base_prompt: bool = False, + # instruction model only + instruction_prefix=None, + response_prefix=None, + # non-server only + dtype="bfloat16", + trust_remote_code=False, + # vllm only + tp=1, + enable_prefix_caching=False, + enable_chunked_prefill=False, + # openai only + base_url=None, + # hf only + attn_implementation="eager", + device_map=None, + # gptqmodel only + gptqmodel_backend: str = 'auto', + gguf_file: str = None, +) -> DecoderBase: + if backend == "vllm": + from evalplus.provider.vllm import VllmDecoder + + return VllmDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + dataset=dataset, + force_base_prompt=force_base_prompt, + tensor_parallel_size=tp, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + trust_remote_code=trust_remote_code, + enable_prefix_caching=enable_prefix_caching, + enable_chunked_prefill=enable_chunked_prefill, + dtype=dtype, + gguf_file=gguf_file + ) + elif backend == "hf": + from evalplus.provider.hf import HuggingFaceDecoder + + return HuggingFaceDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + dataset=dataset, + force_base_prompt=force_base_prompt, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + attn_implementation=attn_implementation, + device_map=device_map, + trust_remote_code=trust_remote_code, + dtype=dtype, + gguf_file=gguf_file, + ) + elif backend == "openai": + from evalplus.provider.openai import OpenAIChatDecoder + + assert not force_base_prompt, f"{backend} backend does not serve base model" + return OpenAIChatDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + base_url=base_url, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + ) + elif backend == "anthropic": + from evalplus.provider.anthropic import AnthropicDecoder + + assert not force_base_prompt, f"{backend} backend does not serve base model" + return AnthropicDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + ) + elif backend == "google": + from evalplus.provider.google import GeminiDecoder + + assert not force_base_prompt, f"{backend} backend does not serve base model" + return GeminiDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + ) + elif backend == "bedrock": + from evalplus.provider.bedrock import BedrockDecoder + + assert not force_base_prompt, f"{backend} backend does not serve base model" + return BedrockDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + ) + elif backend == "gptqmodel": + from evalplus.provider.gptqmodel import GPTQModelDecoder + + return GPTQModelDecoder( + name=model, + dataset=dataset, + force_base_prompt=force_base_prompt, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + trust_remote_code=trust_remote_code, + gptqmodel_backend=gptqmodel_backend, + ) + diff --git a/evalplus/build/lib/evalplus/provider/anthropic.py b/evalplus/build/lib/evalplus/provider/anthropic.py new file mode 100644 index 0000000000000000000000000000000000000000..a5bcdd78c6ebad31161b5fb33f361ade6ac76bd6 --- /dev/null +++ b/evalplus/build/lib/evalplus/provider/anthropic.py @@ -0,0 +1,46 @@ +import os +from typing import List + +import anthropic + +from evalplus.gen.util import anthropic_request +from evalplus.provider.base import DecoderBase + + +class AnthropicDecoder(DecoderBase): + def __init__(self, name: str, **kwargs) -> None: + super().__init__(name, **kwargs) + self.client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_KEY")) + + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if do_sample: + assert self.temperature > 0, "Temperature must be positive for sampling" + + batch_size = min(self.batch_size, num_samples) + if not do_sample: + assert batch_size == 1, "Sampling only supports batch size of 1" + + outputs = [] + for _ in range(batch_size): + message = anthropic_request.make_auto_request( + client=self.client, + model=self.name, + messages=[ + { + "role": "user", + "content": self.instruction_prefix + + f"\n```python\n{prompt.strip()}\n```\n", + } + ], + max_tokens=self.max_new_tokens, + temperature=self.temperature, + stop_sequences=self.eos, + ) + outputs.append(message.content[0].text) + + return outputs + + def is_direct_completion(self) -> bool: + return False diff --git a/evalplus/build/lib/evalplus/provider/base.py b/evalplus/build/lib/evalplus/provider/base.py new file mode 100644 index 0000000000000000000000000000000000000000..ad71447c4948ff1b57c35028da2ca2a78af04aa8 --- /dev/null +++ b/evalplus/build/lib/evalplus/provider/base.py @@ -0,0 +1,45 @@ +from abc import ABC, abstractmethod +from typing import List + +from evalplus.provider.utility import EOS + + +class DecoderBase(ABC): + def __init__( + self, + name: str, + batch_size: int = 1, + temperature: float = 0.8, + max_new_tokens: int = 768, + dtype: str = "bfloat16", # default + trust_remote_code: bool = False, + instruction_prefix: str = None, + response_prefix: str = None, + ) -> None: + print("Initializing a decoder model: {} ...".format(name)) + self.name = name + self.batch_size = batch_size + self.temperature = temperature + self.eos = EOS + self.skip_special_tokens = False + self.max_new_tokens = max_new_tokens + self.dtype = dtype + self.trust_remote_code = trust_remote_code + self.instruction_prefix = instruction_prefix + self.response_prefix = response_prefix + + @abstractmethod + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + pass + + @abstractmethod + def is_direct_completion(self) -> bool: + pass + + def __repr__(self) -> str: + return self.name + + def __str__(self) -> str: + return self.name diff --git a/evalplus/build/lib/evalplus/provider/bedrock.py b/evalplus/build/lib/evalplus/provider/bedrock.py new file mode 100644 index 0000000000000000000000000000000000000000..7f6dff984a04bbbd675cba80e34db9442e8d1431 --- /dev/null +++ b/evalplus/build/lib/evalplus/provider/bedrock.py @@ -0,0 +1,95 @@ +import datetime +import os +from typing import Dict, List + +import boto3 +from botocore.config import Config + +from evalplus.provider.base import DecoderBase +from evalplus.provider.utility import concurrent_call + +BEDROCK_CONFIG = Config(retries={"max_attempts": 100, "mode": "standard"}) + + +class AutoRefreshBedrockCaller: + def __init__(self, role_arn, region_name): + self.role_arn = role_arn + self.region_name = region_name + self.session_name = "BedrockSession" + self.session = boto3.Session() + self.sts_client = self.session.client("sts", region_name=region_name) + self.bedrock_client = boto3.client( + "bedrock-runtime", config=BEDROCK_CONFIG, region_name=region_name + ) + self.expiration = None + self.refresh_credentials() + + def refresh_credentials(self): + assumed_role = self.sts_client.assume_role( + RoleArn=self.role_arn, + RoleSessionName=self.session_name, + DurationSeconds=12 * 60 * 60, + ) + credentials = assumed_role["Credentials"] + self.bedrock_client = boto3.client( + "bedrock-runtime", + aws_access_key_id=credentials["AccessKeyId"], + aws_secret_access_key=credentials["SecretAccessKey"], + aws_session_token=credentials["SessionToken"], + region_name=self.region_name, + config=BEDROCK_CONFIG, + ) + self.expiration = credentials["Expiration"] + + def _refresh_guard(self): + if self.expiration is None or datetime.datetime.now( + datetime.timezone.utc + ) > self.expiration - datetime.timedelta(minutes=10): + self.refresh_credentials() + + def converse(self, *arg, **kwargs): + self._refresh_guard() + return self.bedrock_client.converse(*arg, **kwargs) + + +BEDROCK_ROLE_ARN = os.getenv("BEDROCK_ROLE_ARN", None) +AWS_REGION = os.getenv("AWS_REGION", "us-east-1") + + +class BedrockDecoder(DecoderBase): + def __init__(self, name: str, **kwargs) -> None: + super().__init__(name, **kwargs) + + def _call_one(self, messages: List[Dict[str, str]]) -> str: + assert ( + BEDROCK_ROLE_ARN + ), "Please specify BEDROCK_ROLE_ARN via environment variable" + self.client = AutoRefreshBedrockCaller( + role_arn=BEDROCK_ROLE_ARN, region_name=AWS_REGION + ) + + response = self.client.converse( + modelId=self.name, + messages=messages, + inferenceConfig={ + "maxTokens": self.max_new_tokens, + "temperature": self.temperature, + "topP": 0.95, + }, + ) + + return response["output"]["message"]["content"][0]["text"] + + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if do_sample: + assert self.temperature > 0, "Temperature must be positive for sampling" + batch_size = min(self.batch_size, num_samples) + prompt = self.instruction_prefix + f"\n```python\n{prompt.strip()}\n```" + messages = [{"role": "user", "content": [{"text": prompt.strip()}]}] + + return concurrent_call(batch_size, self._call_one, messages) + + def is_direct_completion(self) -> bool: + return False diff --git a/evalplus/build/lib/evalplus/provider/google.py b/evalplus/build/lib/evalplus/provider/google.py new file mode 100644 index 0000000000000000000000000000000000000000..206415e2f539ca9352107242cd62e3699c28b863 --- /dev/null +++ b/evalplus/build/lib/evalplus/provider/google.py @@ -0,0 +1,96 @@ +import os +import time +from traceback import print_exc +from typing import List + +import google.generativeai as genai +from google.api_core.exceptions import GoogleAPICallError, ResourceExhausted + +from evalplus.provider.base import DecoderBase + + +def make_request( + client: genai.GenerativeModel, + messages: List, + temperature: float, + n: int, + max_new_tokens: int = 2048, +) -> genai.types.GenerateContentResponse: + messages = [{"role": m["role"], "parts": [m["content"]]} for m in messages] + response = client.generate_content( + messages, + generation_config=genai.types.GenerationConfig( + candidate_count=n, + max_output_tokens=max_new_tokens, + temperature=temperature, + top_p=0.95, + ), + safety_settings=[ + {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"}, + {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"}, + {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"}, + {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"}, + ], + ) + + return response + + +def make_auto_request(*args, **kwargs) -> genai.types.GenerateContentResponse: + ret = None + while ret is None: + try: + ret = make_request(*args, **kwargs) + except ResourceExhausted as e: + print("Rate limit exceeded. Waiting...", e.message) + time.sleep(10) + except GoogleAPICallError as e: + print(e.message) + time.sleep(1) + except Exception: + print("Unknown error. Waiting...") + print_exc() + time.sleep(1) + return ret + + +class GeminiDecoder(DecoderBase): + def __init__(self, name: str, **kwargs): + super().__init__(name, **kwargs) + genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) + self.client = genai.GenerativeModel(name) + + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if do_sample: + assert self.temperature > 0, "Temperature must be positive for sampling" + batch_size = min(self.batch_size, num_samples, 8) + message = self.instruction_prefix + f"\n```python\n{prompt.strip()}\n```" + replies = make_auto_request( + self.client, + [{"role": "user", "content": message}], + n=batch_size, + temperature=self.temperature, + max_new_tokens=self.max_new_tokens, + ) + + if len(replies.candidates) != batch_size: + print( + f"WARNING: Expected {batch_size} outputs but got {len(replies.candidates)}" + ) + + ret_texts = [] + for candidate in replies.candidates: + parts = candidate.content.parts + if parts: + ret_texts.append(parts[0].text) + else: + print("Empty response!") + ret_texts.append("") + print(f"{candidate.safety_ratings = }") + + return ret_texts + [""] * (batch_size - len(ret_texts)) + + def is_direct_completion(self) -> bool: + return False diff --git a/evalplus/build/lib/evalplus/provider/gptqmodel.py b/evalplus/build/lib/evalplus/provider/gptqmodel.py new file mode 100644 index 0000000000000000000000000000000000000000..133e80b6f6eb01f8efb866580c8555ed120c7039 --- /dev/null +++ b/evalplus/build/lib/evalplus/provider/gptqmodel.py @@ -0,0 +1,92 @@ +from typing import List + +import torch +from transformers import AutoTokenizer + +try: + from gptqmodel import GPTQModel +except ModuleNotFoundError as exception: + raise type(exception)( + "Tried to load gptqmodel, but gptqmodel is not installed ", + "please install gptqmodel via `pip install gptqmodel --no-build-isolation`", + ) + +from evalplus.provider.base import DecoderBase +from evalplus.provider.utility import ( + extra_eos_for_direct_completion, + make_raw_chat_prompt, +) + + +class GPTQModelDecoder(DecoderBase): + def __init__( + self, + name: str, + dataset: str, + gptqmodel_backend: str = 'auto', + force_base_prompt: bool = False, + **kwargs, + ): + super().__init__(name=name, **kwargs) + + if hasattr(torch, "mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available(): + device = torch.device("mps") + elif hasattr(torch, "xpu") and hasattr(torch.xpu, "is_available") and torch.xpu.is_available(): + device = torch.device("xpu") + elif hasattr(torch, "cuda") and hasattr(torch.cuda, "is_available") and torch.cuda.is_available(): + device = torch.device("cuda") + else: + device = torch.device("cpu") + + self.device = device + + kwargs = { + "model_id_or_path": name, + "trust_remote_code": self.trust_remote_code, + "backend": gptqmodel_backend, + "device": device + } + self.skip_special_tokens = True + self.force_base_prompt = force_base_prompt + self.tokenizer = AutoTokenizer.from_pretrained(name, trust_remote_code=self.trust_remote_code) + if self.is_direct_completion(): # no chat template + self.eos += extra_eos_for_direct_completion(dataset) + else: # with chat template + self.eos += ["\n```\n"] + self.model = GPTQModel.load(**kwargs) + self.model = self.model.to(self.device) + + def is_direct_completion(self) -> bool: + return self.force_base_prompt or self.tokenizer.chat_template is None + + @torch.inference_mode() + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + prompt = ( + prompt + if self.is_direct_completion() + else make_raw_chat_prompt( + prompt, self.instruction_prefix, self.response_prefix, self.tokenizer + ) + ) + input_tokens = self.tokenizer.encode(prompt, return_tensors="pt").to(self.device) + + outputs = self.model.generate(input_ids=input_tokens, + pad_token_id=self.tokenizer.pad_token_id or self.tokenizer.eos_token_id, + max_new_tokens=self.max_new_tokens) + + gen_strs = self.tokenizer.batch_decode( + outputs[:, input_tokens.size(-1):], + skip_special_tokens=self.skip_special_tokens, + ) + + outputs = [] + # removes eos tokens. + for output in gen_strs: + min_index = 10000 + for eos in self.eos: + if eos in output: + min_index = min(min_index, output.index(eos)) + outputs.append(output[:min_index].replace("\t", " ")) + return outputs diff --git a/evalplus/build/lib/evalplus/provider/hf.py b/evalplus/build/lib/evalplus/provider/hf.py new file mode 100644 index 0000000000000000000000000000000000000000..c57239b7d326e3168ed1aea5ac0b02eb7c3202b8 --- /dev/null +++ b/evalplus/build/lib/evalplus/provider/hf.py @@ -0,0 +1,106 @@ +from typing import List + +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer + +from evalplus.provider.base import DecoderBase +from evalplus.provider.utility import ( + extra_eos_for_direct_completion, + make_raw_chat_prompt, +) + + +class HuggingFaceDecoder(DecoderBase): + def __init__( + self, + name: str, + dataset: str, + force_base_prompt: bool = False, + attn_implementation: str = "eager", + device_map: str = None, + gguf_file: str = None, + **kwargs, + ): + super().__init__(name=name, **kwargs) + self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + + kwargs = { + "device_map": device_map, + "trust_remote_code": self.trust_remote_code, + "torch_dtype": getattr(torch, self.dtype), + "attn_implementation": attn_implementation, # "eager", "flash_attention_2", "sdpa" + "gguf_file": gguf_file + } + + self.skip_special_tokens = True + + print(f"{kwargs = }") + + self.force_base_prompt = force_base_prompt + + # gguf format embeds tokenizer and is not compatible with hf tokenizer `use_fast` param + tokenizer_kwargs = {} + if gguf_file is None: + tokenizer_kwargs["use_fast"] = False + else: + tokenizer_kwargs["gguf_file"] = gguf_file + self.tokenizer = AutoTokenizer.from_pretrained(name, **tokenizer_kwargs) + if self.is_direct_completion(): # no chat template + self.eos += extra_eos_for_direct_completion(dataset) + else: # with chat template + self.eos += ["\n```\n"] + + print(f"{self.eos = }") + self.model = AutoModelForCausalLM.from_pretrained(name, **kwargs) + self.model = self.model.to(self.device) + + def is_direct_completion(self) -> bool: + return self.force_base_prompt or self.tokenizer.chat_template is None + + @torch.inference_mode() + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if self.temperature == 0: + assert not do_sample + assert num_samples == 1 + + prompt = ( + prompt + if self.is_direct_completion() + else make_raw_chat_prompt( + prompt, self.instruction_prefix, self.response_prefix, self.tokenizer + ) + ) + input_tokens = self.tokenizer.encode(prompt, return_tensors="pt").to( + self.device + ) + kwargs = {} + if do_sample: + kwargs["top_p"] = 0.95 + kwargs["temperature"] = self.temperature + + outputs = self.model.generate( + input_tokens, + max_new_tokens=self.max_new_tokens, + do_sample=do_sample, + num_return_sequences=min(self.batch_size, num_samples), + pad_token_id=self.tokenizer.pad_token_id or self.tokenizer.eos_token_id, + stop_strings=self.eos, + tokenizer=self.tokenizer, + **kwargs, + ) + + gen_strs = self.tokenizer.batch_decode( + outputs[:, input_tokens.size(-1) :], + skip_special_tokens=self.skip_special_tokens, + ) + outputs = [] + # removes eos tokens. + for output in gen_strs: + min_index = 10000 + for eos in self.eos: + if eos in output: + min_index = min(min_index, output.index(eos)) + outputs.append(output[:min_index].replace("\t", " ")) + return outputs diff --git a/evalplus/build/lib/evalplus/provider/openai.py b/evalplus/build/lib/evalplus/provider/openai.py new file mode 100644 index 0000000000000000000000000000000000000000..4131bebaea86a672f31d2aa0bb4c00dbe1471c66 --- /dev/null +++ b/evalplus/build/lib/evalplus/provider/openai.py @@ -0,0 +1,57 @@ +import os +from typing import List + +import openai + +from evalplus.gen.util import openai_request +from evalplus.provider.base import DecoderBase +from evalplus.provider.utility import concurrent_call + + +class OpenAIChatDecoder(DecoderBase): + def __init__(self, name: str, base_url=None, **kwargs) -> None: + super().__init__(name, **kwargs) + self.base_url = base_url + + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if do_sample: + assert self.temperature > 0, "Temperature must be positive for sampling" + batch_size = min(self.batch_size, num_samples) + prompt = self.instruction_prefix + f"\n```python\n{prompt.strip()}\n```" + + # use concurrency based batching for o1 and deepseek models + if self.name.startswith("o1-") or self.name == "deepseek-chat": + return self._codegen_batch_via_concurrency(prompt, num_samples) + + return self._codegen_api_batch(prompt, batch_size) + + def _codegen_api_batch(self, prompt: str, batch_size: int) -> List[str]: + client = openai.OpenAI( + api_key=os.getenv("OPENAI_API_KEY", "none"), base_url=self.base_url + ) + + ret = openai_request.make_auto_request( + client, + message=prompt, + model=self.name, + max_tokens=self.max_new_tokens, + temperature=self.temperature, + n=batch_size, + ) + + outputs = [] + for item in ret.choices: + outputs.append(item.message.content) + + return outputs + + def _codegen_batch_via_concurrency(self, prompt: str, batch_size: int) -> List[str]: + batches = concurrent_call( + batch_size, self._codegen_api_batch, prompt, batch_size=1 + ) + return [b[0] for b in batches] + + def is_direct_completion(self) -> bool: + return False diff --git a/evalplus/build/lib/evalplus/provider/utility.py b/evalplus/build/lib/evalplus/provider/utility.py new file mode 100644 index 0000000000000000000000000000000000000000..562a8b5a73f4e1a22f02b1c92659ef4e20fa8c6f --- /dev/null +++ b/evalplus/build/lib/evalplus/provider/utility.py @@ -0,0 +1,64 @@ +from concurrent.futures import ThreadPoolExecutor +from typing import List + +EOS = [ + "<|endoftext|>", + "<|endofmask|>", + "", + "\nif __name__", + "\ndef main(", + "\nprint(", +] + + +def extra_eos_for_direct_completion(dataset) -> List[str]: + if dataset.lower() == "humaneval": + return ["\ndef ", "\nclass ", "\nimport ", "\nfrom ", "\nassert "] + elif dataset.lower() == "mbpp": + return ['\n"""', "\nassert"] + raise ValueError(f"Unknown dataset: {dataset}") + + +# some random words which serves as the splitter +_MAGIC_SPLITTER_ = "-[[]]-this-is-really-our-highest-priority-[[]]-" + + +def make_raw_chat_prompt( + task_prompt: str, + instruction_prefix: str, + response_prefix: str, + tokenizer, +) -> str: + # directly return prompt if it does not have a tokenizer.chat_template + if tokenizer.chat_template is None: + return task_prompt + + assert instruction_prefix is not None, "Instruction prefix is required!" + assert response_prefix is not None, "Response prefix is required!" + + task_prompt = f"""\ +{instruction_prefix} +``` +{task_prompt.strip()} +``` +""" + response = f"""\ +{response_prefix} +```python +{_MAGIC_SPLITTER_} +``` +""" + task_prompt = tokenizer.apply_chat_template( + [ + {"role": "user", "content": task_prompt}, + {"role": "assistant", "content": response}, + ], + tokenize=False, + ).split(_MAGIC_SPLITTER_)[0] + return task_prompt + + +def concurrent_call(n, callback, /, *args, **kwargs): + with ThreadPoolExecutor(max_workers=n) as executor: + futures = [executor.submit(callback, *args, **kwargs) for _ in range(n)] + return [future.result() for future in futures] diff --git a/evalplus/build/lib/evalplus/provider/vllm.py b/evalplus/build/lib/evalplus/provider/vllm.py new file mode 100644 index 0000000000000000000000000000000000000000..18a5b8012996da2d56971093136d7d6eb53a5e35 --- /dev/null +++ b/evalplus/build/lib/evalplus/provider/vllm.py @@ -0,0 +1,79 @@ +from typing import List + +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams + +from evalplus.provider.base import DecoderBase +from evalplus.provider.utility import ( + extra_eos_for_direct_completion, + make_raw_chat_prompt, +) + + +class VllmDecoder(DecoderBase): + def __init__( + self, + name: str, + dataset: str, + force_base_prompt: bool = False, + tensor_parallel_size: int = 1, + enable_prefix_caching=False, + enable_chunked_prefill=False, + gguf_file: str = None, + **kwargs + ) -> None: + super().__init__(name, **kwargs) + + kwargs = { + "tensor_parallel_size": tensor_parallel_size, + "dtype": self.dtype, + "trust_remote_code": self.trust_remote_code, + "enable_prefix_caching": enable_prefix_caching, + "enable_chunked_prefill": enable_chunked_prefill, + } + + self.force_base_prompt = force_base_prompt + # gguf format embeds tokenizer and is not compatible with hf tokenizer `use_fast` param + tokenizer_kwargs = {} + if gguf_file is None: + tokenizer_kwargs["use_fast"] = False + else: + tokenizer_kwargs["gguf_file"] = gguf_file + self.tokenizer = AutoTokenizer.from_pretrained(self.name, **tokenizer_kwargs) + if self.is_direct_completion(): + self.eos += extra_eos_for_direct_completion(dataset) + else: + self.eos += ["\n```\n"] + self.llm = LLM(model=name, max_model_len=2048, **kwargs) + + def is_direct_completion(self) -> bool: + return self.force_base_prompt or self.tokenizer.chat_template is None + + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if do_sample: + assert self.temperature > 0, "Temperature must be greater than 0!" + batch_size = min(self.batch_size, num_samples) + + prompt = ( + prompt + if self.is_direct_completion() + else make_raw_chat_prompt( + prompt, self.instruction_prefix, self.response_prefix, self.tokenizer + ) + ) + + vllm_outputs = self.llm.generate( + [prompt] * batch_size, + SamplingParams( + temperature=self.temperature, + max_tokens=self.max_new_tokens, + top_p=0.95 if do_sample else 1.0, + stop=self.eos, + ), + use_tqdm=False, + ) + + gen_strs = [x.outputs[0].text.replace("\t", " ") for x in vllm_outputs] + return gen_strs diff --git a/evalplus/build/lib/evalplus/sanitize.py b/evalplus/build/lib/evalplus/sanitize.py new file mode 100644 index 0000000000000000000000000000000000000000..bd283c935b9cffafc8b60c42a124b6ff882e0b68 --- /dev/null +++ b/evalplus/build/lib/evalplus/sanitize.py @@ -0,0 +1,253 @@ +"""Post-processing LLM-generated Python code implemented using tree-sitter.""" + +import os +import pathlib +from typing import Dict, Generator, List, Optional, Set, Tuple + +import tree_sitter_python +from tqdm import tqdm +from tree_sitter import Language, Node, Parser + +from evalplus.data import ( + get_human_eval_plus, + get_mbpp_plus, + load_solutions, + write_directory, + write_jsonl, +) +from evalplus.syncheck import syntax_check + +CLASS_TYPE = "class_definition" +FUNCTION_TYPE = "function_definition" +IMPORT_TYPE = ["import_statement", "import_from_statement"] +IDENTIFIER_TYPE = "identifier" +ATTRIBUTE_TYPE = "attribute" +RETURN_TYPE = "return_statement" +EXPRESSION_TYPE = "expression_statement" +ASSIGNMENT_TYPE = "assignment" + + +def code_extract(text: str) -> str: + lines = text.split("\n") + longest_line_pair = (0, 0) + longest_so_far = 0 + + for i in range(len(lines)): + for j in range(i + 1, len(lines)): + current_lines = "\n".join(lines[i : j + 1]) + if syntax_check(current_lines): + current_length = sum(1 for line in lines[i : j + 1] if line.strip()) + if current_length > longest_so_far: + longest_so_far = current_length + longest_line_pair = (i, j) + + return "\n".join(lines[longest_line_pair[0] : longest_line_pair[1] + 1]) + + +def get_deps(nodes: List[Tuple[str, Node]]) -> Dict[str, Set[str]]: + def dfs_get_deps(node: Node, deps: Set[str]) -> None: + for child in node.children: + if child.type == IDENTIFIER_TYPE: + deps.add(child.text.decode("utf8")) + else: + dfs_get_deps(child, deps) + + name2deps = {} + for name, node in nodes: + deps = set() + dfs_get_deps(node, deps) + name2deps[name] = deps + return name2deps + + +def get_function_dependency(entrypoint: str, call_graph: Dict[str, str]) -> Set[str]: + queue = [entrypoint] + visited = {entrypoint} + while queue: + current = queue.pop(0) + if current not in call_graph: + continue + for neighbour in call_graph[current]: + if not (neighbour in visited): + visited.add(neighbour) + queue.append(neighbour) + return visited + + +def get_definition_name(node: Node) -> str: + for child in node.children: + if child.type == IDENTIFIER_TYPE: + return child.text.decode("utf8") + + +def traverse_tree(node: Node) -> Generator[Node, None, None]: + cursor = node.walk() + depth = 0 + + visited_children = False + while True: + if not visited_children: + yield cursor.node + if not cursor.goto_first_child(): + depth += 1 + visited_children = True + elif cursor.goto_next_sibling(): + visited_children = False + elif not cursor.goto_parent() or depth == 0: + break + else: + depth -= 1 + + +def has_return_statement(node: Node) -> bool: + traverse_nodes = traverse_tree(node) + for node in traverse_nodes: + if node.type == RETURN_TYPE: + return True + return False + + +def extract_target_code_or_empty(code: str, entrypoint: Optional[str] = None) -> str: + code = code_extract(code) + code_bytes = bytes(code, "utf8") + parser = Parser(Language(tree_sitter_python.language())) + tree = parser.parse(code_bytes) + class_names = set() + function_names = set() + variable_names = set() + + root_node = tree.root_node + import_nodes = [] + definition_nodes = [] + + for child in root_node.children: + if child.type in IMPORT_TYPE: + import_nodes.append(child) + elif child.type == CLASS_TYPE: + name = get_definition_name(child) + if not ( + name in class_names or name in variable_names or name in function_names + ): + definition_nodes.append((name, child)) + class_names.add(name) + elif child.type == FUNCTION_TYPE: + name = get_definition_name(child) + if not ( + name in function_names or name in variable_names or name in class_names + ) and has_return_statement(child): + definition_nodes.append((name, child)) + function_names.add(get_definition_name(child)) + elif ( + child.type == EXPRESSION_TYPE and child.children[0].type == ASSIGNMENT_TYPE + ): + subchild = child.children[0] + name = get_definition_name(subchild) + if not ( + name in variable_names or name in function_names or name in class_names + ): + definition_nodes.append((name, subchild)) + variable_names.add(name) + + if entrypoint: + name2deps = get_deps(definition_nodes) + reacheable = get_function_dependency(entrypoint, name2deps) + + sanitized_output = b"" + + for node in import_nodes: + sanitized_output += code_bytes[node.start_byte : node.end_byte] + b"\n" + + for pair in definition_nodes: + name, node = pair + if entrypoint and not (name in reacheable): + continue + sanitized_output += code_bytes[node.start_byte : node.end_byte] + b"\n" + return sanitized_output[:-1].decode("utf8") + + +def sanitize(code: str, entrypoint: Optional[str] = None) -> str: + sanitized_code = extract_target_code_or_empty(code, entrypoint).strip() + if not sanitized_code: + return code_extract(code) + return sanitized_code + + +def script( + samples: str, inplace: bool = False, debug_task: str = None, mbpp_version="default" +): + # task_id -> entry_point + entry_point = {} + # merge two datasets + dataset = {**get_human_eval_plus(), **get_mbpp_plus(version=mbpp_version)} + + for task_id, problem in dataset.items(): + entry_point[task_id] = problem["entry_point"] + + # make a new folder with "-sanitized" suffix + is_folder = os.path.isdir(samples) + target_path = pathlib.Path(samples) + if not inplace: + if is_folder: + new_name = target_path.name + "-sanitized" + else: + new_name = target_path.name.replace(".jsonl", "-sanitized.jsonl") + target_path = target_path.parent / new_name + target_path = str(target_path) + + nsan = 0 + ntotal = 0 + + new_solutions = [] + + for solution in tqdm(load_solutions(samples)): + task_id = solution["task_id"] + if task_id not in dataset: + print( + f"Skiping {task_id} as it does not existing in the latest EvalPlus dataset." + ) + continue + + function_name = entry_point[task_id] if task_id in entry_point else None + dbg_identifier = solution["_identifier"] + if debug_task is not None and task_id != debug_task: + continue + + ntotal += 1 + if "solution" in solution: + old_code = solution["solution"] + else: + assert "completion" in solution + old_code = dataset[task_id]["prompt"] + "\n" + solution["completion"] + + new_code = sanitize(code=old_code, entrypoint=function_name) + + # if changed, print the message + if new_code != old_code: + msg = "Sanitized: " + dbg_identifier + if is_folder: + msg += " -> " + dbg_identifier.replace(samples, target_path) + print(msg) + nsan += 1 + + new_solutions.append({"task_id": task_id, "solution": new_code}) + + if is_folder: + write_directory(target_path, new_solutions) + else: + write_jsonl(target_path, new_solutions) + + if nsan > 0: + print(f"Sanitized {nsan} out of {ntotal} files.") + else: + print(f"All files seems valid -- no files are sanitized.") + print(f"Check the sanitized files at {target_path}") + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/build/lib/evalplus/syncheck.py b/evalplus/build/lib/evalplus/syncheck.py new file mode 100644 index 0000000000000000000000000000000000000000..62274ff448e453dd132e635c9061c39cc8f3f44a --- /dev/null +++ b/evalplus/build/lib/evalplus/syncheck.py @@ -0,0 +1,118 @@ +"""This file checks two things: +1. Is the LLMs codegen completed for each benchmark? +2. Warn the code that are not compilable (it could be some impl issues). +""" + +import ast +import traceback + +from termcolor import colored + +from evalplus.data import load_solutions + + +def syntax_check(code, verbose=False): + try: + ast.parse(code) + return True + except (SyntaxError, MemoryError): + if verbose: + traceback.print_exc() + return False + + +def script( + samples: str, dataset: str, nsample_check: int = None, verbose: bool = False +): + # List[Dict{"task_id", "solution"}] + solutions = load_solutions(samples) + + if dataset == "humaneval": + from evalplus.data import get_human_eval_plus + + dataset = get_human_eval_plus() + dataset_name = "HumanEval" + elif dataset == "mbpp": + from evalplus.data import get_mbpp_plus + + dataset = get_mbpp_plus() + dataset_name = "Mbpp" + + print(colored(f"Dataset: {dataset_name}", "blue")) + + id2solutions = {} + for solution in solutions: + task_id = solution["task_id"] + if task_id not in id2solutions: + id2solutions[task_id] = [] + if "solution" not in solution: + assert "completion" in solution, "solution or completion must exist!" + solution["solution"] = dataset[task_id]["prompt"] + solution["completion"] + id2solutions[task_id].append(solution) + + print(colored("==============================", "blue")) + print(colored(" ::: Checking completeness... ", "blue")) + print(colored(" ::::: All tasks complete? ", "blue")) + ndone = 0 + + task_ids = dataset.keys() + ntask = len(task_ids) + for task_id in task_ids: + if task_id not in id2solutions: + print(colored(f" ⚠️ {task_id} is missing!", "red")) + continue + nfiles = len(id2solutions[task_id]) + + if nsample_check is None or nfiles <= nsample_check: + ndone += 1 + continue + + print( + colored( + f" ⚠️ {task_id} only has {nfiles} samples! But {nsample_check} are expected.", + "red", + ) + ) + + # check if there is enough number of samples here. + if nsample_check is not None: + if ntask != ndone: + ntbd = ntask - ndone + print(colored(f" ::::: ⚠️ {ntbd}/{ntask} tasks incomplete!", "red")) + else: + print(colored(f" ::::: All {ntask} tasks complete!", "green")) + + print(colored("==============================", "blue")) + print(colored(" ::: Checking compilation... ", "blue")) + print(colored(" ::::: All code compilable? ", "blue")) + ncode = 0 + nwrong = 0 + for task_id in task_ids: + # task_id must exist + if task_id not in id2solutions: + continue + + for solution in id2solutions[task_id]: + ncode += 1 + code = solution["solution"] + dbg_identifier = solution["_identifier"] + if code.strip() == "": + print(colored(f" ⚠️ {dbg_identifier} is empty!", "red")) + nwrong += 1 + elif not syntax_check(code, verbose): + print(colored(f" ⚠️ {dbg_identifier} is not compilable!", "red")) + nwrong += 1 + if 0 != nwrong: + print(colored(f" ::::: ⚠️ {nwrong}/{ncode} code are not compilable!", "red")) + else: + print(colored(f" ::::: All {ncode} code are compilable!", "green")) + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/build/lib/evalplus/utils.py b/evalplus/build/lib/evalplus/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..685cd591450d0767bf8f7a374ee6410e5b407ffb --- /dev/null +++ b/evalplus/build/lib/evalplus/utils.py @@ -0,0 +1,17 @@ +from rich.progress import ( + BarColumn, + MofNCompleteColumn, + Progress, + TextColumn, + TimeElapsedColumn, +) + + +def progress(note: str = "processing"): + return Progress( + TextColumn(f"{note} •" + "[progress.percentage]{task.percentage:>3.0f}%"), + BarColumn(), + MofNCompleteColumn(), + TextColumn("•"), + TimeElapsedColumn(), + ) diff --git a/evalplus/docs/cli.md b/evalplus/docs/cli.md new file mode 100644 index 0000000000000000000000000000000000000000..bf777aef3c13ccbddf8e354f1d6bc38a4f91cf24 --- /dev/null +++ b/evalplus/docs/cli.md @@ -0,0 +1,188 @@ +# EvalPlus Commands + +* `evalplus.codegen`: Code generation + Code post-processing +* `evalplus.evaluate`: Code generation + Code post-processing + Evaluation +* `evalplus.sanitize`: Code post-processing + +## Code Generation + +`evalplus.codegen` support following backends: + +- `vllm`: Set `--model` as Hugging Face model ID such as `microsoft/Phi-3-mini-128k-instruct` +- `hf`: HuggingFace Transformers; same way to setup `--model` +- `openai`: Configure `OPENAI_API_KEY`; one can configure `--base-url` +- `anthropic`: Configure `ANTHROPIC_API_KEY` +- `google`: Configure `GOOGLE_API_KEY` +- `bedrock`: Configure `BEDROCK_ROLE_ARN` +- `gptqmodel`: Set quantized `--model` as Hugging Face model ID such as `ModelCloud/Qwen2.5-Coder-32B-Instruct-gptqmodel-4bit-vortex-v1` + +```shell +evalplus.codegen --model "mistralai/Mistral-7B-Instruct-v0.3" --greedy --root [result_path] --dataset [mbpp|humaneval] --backend [vllm|hf|openai|...] +``` + +To perform code generation using user-defined tasks and datasets: + +```shell +# Override HumanEval datasets +HUMANEVAL_OVERRIDE_PATH="/path/to/HumanEvalPlus.jsonl.gz" evalplus.codegen --model "mistralai/Mistral-7B-Instruct-v0.3" --greedy --root [result_path] --dataset humaneval --backend [vllm|hf|openai|...] +# Override MBPP datasets +MBPP_OVERRIDE_PATH="/path/to/MbppPlus.jsonl.gz" evalplus.codegen --model "mistralai/Mistral-7B-Instruct-v0.3" --greedy --root [result_path] --dataset mbpp --backend [vllm|hf|openai|...] +``` + +## Customized Code Generation + +You can perform your own code generation from scratch by doing something like this: + +```python +from evalplus.data import get_[human_eval|mbpp]_plus, write_jsonl + +samples = [ + dict(task_id=task_id, solution=GEN_SOLUTION(problem["prompt"])) + for task_id, problem in get_[human_eval|mbpp]_plus().items() +] +write_jsonl("samples.jsonl", samples) +``` + +> [!Note] +> +> The main structure of `problem` is as follows: +> +> - `task_id` is the identifier string for the task +> - `entry_point` is name of the function +> - `prompt` is the function signature with docstring +> - `canonical_solution` is the ground-truth implementation (re-implemented to fix bugs in HumanEval) +> - `base_input` is the test inputs in original HumanEval +> - `plus_input` is the test inputs brought by EvalPlus + +> [!Note] +> +> **Expected Schema of `samples.jsonl`** +> +> 1. `task_id`: Task ID, which are the keys of `get_[human_eval|mbpp]_plus()` +> 2. `solution` (optional): Self-contained solution (usually including the prompt) +> - Example: `{"task_id": "HumanEval/?", "solution": "def f():\n return 1"}` +> 3. `completion` (optional): Function body without prompt +> - Example: `{"task_id": "HumanEval/?", "completion": " return 1"}` +> +> Only one of `solution` and `completion` is required. If both are provided, `solution` will be used. +> We also accept solutions in the form of directory, i.e., `--samples ${SAMPLE_DIR}` where `${SAMPLE_DIR}` is organized as: `${SAMPLE_DIR}/${TASK_ID}/{SAMPLE_ID}.py` (`${TASK_ID} = task_id.replace("/", "_")`). + +## Code post-processing + +> [!Note] +> +> This step is by default performed in `evalplus.codegen`. +> Yet, you might want to use it if you have generated the code using other tools. + +LLM-generated text may not be compilable code for including natural language lines or incomplete extra code. +We provide a tool namely `evalplus.sanitize` to clean up the code: + +```shell +# 💡 If you are storing codes in jsonl: +evalplus.sanitize --samples samples.jsonl +# Sanitized code will be produced to `samples-sanitized.jsonl` + +# 💡 If you are storing codes in directories: +evalplus.sanitize --samples /path/to/vicuna-[??]b_temp_[??] +# Sanitized code will be produced to `/path/to/vicuna-[??]b_temp_[??]-sanitized` +``` + +
🔎 Checking the compilability of post-processed code:: click to expand :: +
+ +To double-check the post-processing results, you can use `evalplus.syncheck` to check the code validity before and after sanitization, which will print erroneous code snippets and why they are wrong: + +```shell +# 💡 If you are storing codes in jsonl: +evalplus.syncheck --samples samples.jsonl --dataset [humaneval|mbpp] + +# 💡 If you are storing codes in directories: +evalplus.syncheck --samples /path/to/vicuna-[??]b_temp_[??] --dataset [humaneval|mbpp] +``` + +
+
+ + + +## Code Evaluation + +You are strongly recommended to use a sandbox such as [docker](https://docs.docker.com/get-docker/): + +```bash +docker run --rm --pull=always -v $(pwd)/evalplus_results:/app ganler/evalplus:latest \ + evalplus.evaluate --dataset humaneval \ + --samples /app/humaneval/ise-uiuc--Magicoder-S-DS-6.7B_vllm_temp_0.0.jsonl +``` + +...Or if you want to try it locally regardless of the risks ⚠️: + +```bash +evalplus.evaluate --dataset [humaneval|mbpp] --samples samples.jsonl +``` + +To use a user-defined dataset locally, you can set `HUMANEVAL_OVERRIDE_PATH` or `MBPP_OVERRIDE_PATH`: + +```bash +HUMANEVAL_OVERRIDE_PATH="/path/to/HumanEvalPlus.jsonl.gz" evalplus.evaluate --dataset humaneval --samples samples.jsonl +``` + +> [!Tip] +> +> Program execution can be configured. See [Program Execution in EvalPlus and EvalPerf](./docs/execution.md). + +
🤔 Evaluate with local GitHub repo? :: click to expand :: +
+ +```bash +export PYTHONPATH=$PYTHONPATH:$(pwd) +python evalplus/evaluate.py --dataset humaneval --samples samples.jsonl +``` + +
+
+ +
⌨️ More command-line flags :: click to expand :: +
+ +- `--parallel`: by default half of the cores +- `--base-only` (store_ture): only run base HumanEval tests +- `--i-just-wanna-run`: force a re-run + +
+
+ +The output should be like (below is GPT-4 greedy decoding example): + +``` +Computing expected output... +Expected outputs computed in 15.18s +Reading samples... +164it [00:04, 37.79it/s] +Evaluating samples... +100%|██████████████████████████████████████████| 164/164 [00:03<00:00, 44.75it/s] +Base +{'pass@1': 0.8841463414634146} +Base + Extra +{'pass@1': 0.768} +``` + +- `Base` is the `pass@k` for the original HumanEval +- `Base + Extra` is the `pass@k` for the our **HumanEval+** (with extra tests) +- The "k" includes `[1, 10, 100]` where k values `<=` the sample size will be used +- A cache file named like `samples_eval_results.jsonl` will be cached. Remove it to re-run the evaluation + +## Test input generation using EvalPlus + +Please check `evalplus/inputgen.py`. + +## Useful tools + +We provide some useful tools for curation, visualization, and analysis of the EvalPlus datasets in the `tools/` directory. +To use these tools, please first install the repository from GitHub: + +```bash +git clone https://github.com/evalplus/evalplus.git +cd evalplus +pip install -r tools/requirements.txt +``` diff --git a/evalplus/docs/evalperf.md b/evalplus/docs/evalperf.md new file mode 100644 index 0000000000000000000000000000000000000000..24de787202e30ffa6c72dbb76b2463e4a733b97a --- /dev/null +++ b/evalplus/docs/evalperf.md @@ -0,0 +1,66 @@ +# Evaluating Language Models for Efficient Code Generation (COLM'24) + +* [Paper](https://www.arxiv.org/abs/2408.06450) +* [Poster](https://jw-liu.xyz/assets/pdf/jiawei-colm-evalperf-poster.pdf) + +## Overview + +**Code Efficiency Evaluation** requires: + +* **Performance-exercising tasks**: + * Computationally non-trivial *task* + * Computationally intensive *test input* +* **Meaningful compound metric**: + * We need to evaluate on multiple tasks to get statistical sense of LLM's code efficiency + * Yet, commonly used avg. speedup is biased towards tasks with larger efficiency gaps. + +Using **Differential Performance Evaluation**, we curate the EvalPerf dataset -- current version (`20240328`) includes: + +* 118 performance-exercising tasks +* Each task is equipped with a computationally challenging test input generated by the SaS generator +* Differential performance score (DPS) that brings conclusions like "Your submission can outperform 80% of LLM solutions..." +* Pairwise comparison of LLMs' code efficiency over commonly passing tasks to ablate correctness impact + +## Running EvalPerf + +```bash +evalplus.evalperf --model {model_name} --backend [vllm|hf|openai|google|anthropic] +# model_name can be hugginface path such as `ise-uiuc/Magicoder-DS-6.7B` +``` + +This script overall performs four steps: + +* **Step 1**: We sample 100 solutions (`n_samples`) from each LLM to evaluate +* **Step 2**: For tasks with at least 10 passing samples (`min_correct`), we perform efficiency evaluation +* **Step 3**: Produce a `{model_name}_evalperf_v{VERSION}.jsonl` file where each line includes: + * `task_id` (str) + * `results` (`List[Dict]`) + * `solution` (str) + * `pass` (bool) + * `profiled` (bool) + * `matching_cluster_idx` (`Optional[int]`) + * `_num_cpu_instructions` (`Optional[int]`) + * `dps` (`Optional[float]`) + * `dps_norm` (`Optional[float]`) + * `ref` (`List[Dict]`) + * `solution` (str) + * `score` (float; 100 based) + * `_num_cpu_instructions` (`Optional[int]`) + * `dps` (`Optional[float]`) + * `dps_norm` (`Optional[float]`) + * `pass@1` (float; 100 based) + * `n_profiled` (`Optional[int]`) +* **Step 4**: Compute the differential performance score + + +## Citation + +```bibtex +@inproceedings{liu2024evaluating, + title = {Evaluating Language Models for Efficient Code Generation}, + author = {Liu, Jiawei and Xie, Songrun and Wang, Junhao and Wei, Yuxiang and Ding, Yifeng and Zhang, Lingming}, + booktitle = {First Conference on Language Modeling}, + year = {2024}, + url = {https://openreview.net/forum?id=IBCBMeAhmC}, +} +``` diff --git a/evalplus/docs/execution.md b/evalplus/docs/execution.md new file mode 100644 index 0000000000000000000000000000000000000000..026743068c64f89593886f6f614b985c308bf72c --- /dev/null +++ b/evalplus/docs/execution.md @@ -0,0 +1,53 @@ +# Program Execution + +LLM solutions are regarded as **failed** on timeout and OOM etc. + +## Time Limits + +We set the timeout $T=\max(T_{base}, T_{gt}\times k)$ where: + +- $T_{base}$ is the minimal timeout (configurable by `--min-time-limit`; default to 1s); +- $T_{gt}$ is the runtime of the ground-truth solutions (achieved via profiling); +- $k$ is a configurable factor `--gt-time-limit-factor` (default to 4); + +If your machine is too slow and you are getting high-variance results, try to use larger $k$ and $T_{base}$. + +## Memory Limits + +- **Default behavior**: The default memory limit per process is `min(4GB, system_maximum)`. +- Environment variable `EVALPLUS_MAX_MEMORY_BYTES`: + - `-1` means no limit. + - Otherwise, the limit is set to the specified value in bytes. + +Related discussion threads: + +- https://github.com/evalplus/evalplus/pull/225 + +## Parallelism + +You are **NOT** encouraged to make your test-bed over stressed while running evaluation. +For example, using `--parallel 64` on a 4-core machine or doing something else during evaluation are bad ideas... + +## Tips for Fast Evaluation + +If you do greedy decoding where there is only one sample for each task, the evaluation should take just a few seconds. +When running 200 samples x 164 tasks x ~700+ tests, it can take around 2-10 minutes by using `--parallel 64` and `--test-details`. +Here are some tips to speed up the evaluation: + +- Use `--parallel $(nproc)` +- Do **NOT** use `--test-details` if you just want to quickly get pass@k as `--test-details` will run all tests (700+ on average for each task), while without `--test-details` the testing for a sample stops immediately when it fails the first test. +- Use our pre-evaluated results (see [LLM-generated code](#-LLM-generated-code)) +- Use HumanEval+ Mini + + + + +> [!Tip] +> +> 🚀 **Try out `HumanEvalPlus-Mini`!** which selects a _minimal_ set of additional tests with the highest quality, achieving almost the same effectiveness of the full version. Just add a **`--mini`** flag, it can run 23+% faster! (even faster if you evaluate all tests without fail-stop with `--test-details`). +> +> ```bash +> docker run -v $(pwd):/app ganler/evalplus:latest --dataset humaneval --samples samples.jsonl --mini +> # ...Or locally ⚠️ +> # evalplus.evaluate --dataset humaneval --samples samples.jsonl --mini +> ``` diff --git a/evalplus/evalplus.egg-info/PKG-INFO b/evalplus/evalplus.egg-info/PKG-INFO new file mode 100644 index 0000000000000000000000000000000000000000..351d3b2cb4d2688ff1f153440e2931fd82f12f02 --- /dev/null +++ b/evalplus/evalplus.egg-info/PKG-INFO @@ -0,0 +1,364 @@ +Metadata-Version: 2.2 +Name: evalplus +Version: 0.4.0.dev33 +Summary: "EvalPlus for rigourous evaluation of LLM-synthesized code" +Home-page: https://github.com/evalplus/evalplus +License: Apache-2.0 +Platform: any +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python :: 3 +Classifier: License :: OSI Approved :: Apache Software License +Requires-Python: >=3.9 +Description-Content-Type: text/markdown +License-File: LICENSE +Requires-Dist: wget>=3.2 +Requires-Dist: tempdir>=0.7.1 +Requires-Dist: multipledispatch>=0.6.0 +Requires-Dist: appdirs>=1.4.4 +Requires-Dist: numpy>=1.19.5 +Requires-Dist: tqdm>=4.56.0 +Requires-Dist: termcolor>=2.0.0 +Requires-Dist: fire>=0.6.0 +Requires-Dist: openai>=1.11.1 +Requires-Dist: tree_sitter>=0.22.0 +Requires-Dist: tree-sitter-python>=0.21.0 +Requires-Dist: rich>=12.3.0 +Requires-Dist: transformers>=4.43.0 +Requires-Dist: anthropic>=0.34.1 +Requires-Dist: google-generativeai>=0.7.2 +Requires-Dist: datasets>=2.21.0 +Requires-Dist: psutil>=5.9.0 +Requires-Dist: boto3>=1.35.0 +Provides-Extra: perf +Requires-Dist: Pympler>=1.0.1; extra == "perf" +Requires-Dist: cirron>=0.4; extra == "perf" +Provides-Extra: vllm +Requires-Dist: vllm>=0.5.1; extra == "vllm" +Provides-Extra: gptqmodel +Requires-Dist: gptqmodel>=1.4.1; extra == "gptqmodel" + +# `EvalPlus(📖) => 📚` + +

+ + + + + + +

+ +

+ 📙About • + 🔥Quick Start • + 🚀LLM Backends • + 📚Documents • + 📜Citation • + 🙏Acknowledgement +

+ +## 📢 News + +Who's using EvalPlus datasets? EvalPlus has been used by various LLM teams, including: + +* [Meta Llama 3.1 and 3.3](https://ai.meta.com/blog/meta-llama-3-1/) +* [Allen AI TÜLU 1/2/3](https://github.com/allenai/open-instruct/blob/main/docs/tulu1_tulu2.md#benchmark-based-eval) +* [Qwen2.5-Coder](https://qwenlm.github.io/blog/qwen2.5-coder-family/) +* [CodeQwen 1.5](https://qwenlm.github.io/blog/codeqwen1.5/) +* [DeepSeek-Coder V2](https://arxiv.org/pdf/2406.11931) +* [Qwen2](https://arxiv.org/pdf/2407.10671) +* [Snowflake Arctic](https://www.snowflake.com/en/data-cloud/arctic/) +* [StarCoder2](https://arxiv.org/pdf/2402.19173) +* [Magicoder](https://arxiv.org/pdf/2312.02120) +* [WizardCoder](https://arxiv.org/pdf/2306.08568) + +Below tracks the notable updates of EvalPlus: + +- **[2024-10-20 `v0.3.1`]**: EvalPlus `v0.3.1` is officially released! Highlights: *(i)* Code efficiency evaluation via EvalPerf, *(ii)* one command to run all: generation + post-processing + evaluation, *(iii)* support for more inference backends such as Google Gemini & Anthropic, etc. +- **[2024-06-09 pre `v0.3.0`]**: Improved ground-truth solutions for MBPP+ tasks (IDs: 459, 102, 559). Thanks to [EvalArena](https://github.com/crux-eval/eval-arena). +- **[2024-04-17 pre `v0.3.0`]**: MBPP+ is upgraded to `v0.2.0` by removing some broken tasks (399 -> 378 tasks). ~4pp pass@1 improvement could be expected. + +
Earlier news :: click to expand :: +
+ +- ([`v0.2.1`](https://github.com/evalplus/evalplus/releases/tag/v0.2.1)) You can use EvalPlus datasets via [bigcode-evaluation-harness](https://github.com/bigcode-project/bigcode-evaluation-harness)! HumanEval+ oracle fixes (32). +- ([`v0.2.0`](https://github.com/evalplus/evalplus/releases/tag/v0.2.0)) MBPP+ is released! HumanEval contract & input fixes (0/3/9/148/114/1/2/99/28/32/35/160). +- ([`v0.1.7`](https://github.com/evalplus/evalplus/releases/tag/v0.1.7)) [Leaderboard](https://evalplus.github.io/leaderboard.html) release; HumanEval+ contract and input fixes (32/166/126/6) +- ([`v0.1.6`](https://github.com/evalplus/evalplus/releases/tag/v0.1.6)) Configurable and by-default-conservative timeout settings; HumanEval+ contract & ground-truth fixes (129/148/75/53/0/3/9/140) +- ([`v0.1.5`](https://github.com/evalplus/evalplus/releases/tag/v0.1.5)) HumanEval+ mini is released for ultra-fast evaluation when you have too many samples! +- ([`v0.1.1`](https://github.com/evalplus/evalplus/releases/tag/v0.1.1)) Optimizing user experiences: evaluation speed, PyPI package, Docker, etc. +- ([`v0.1.0`](https://github.com/evalplus/evalplus/releases/tag/v0.1.0)) HumanEval+ is released! + +
+
+ + +## 📙 About + +EvalPlus is a rigorous evaluation framework for LLM4Code, with: + +- ✨ **HumanEval+**: 80x more tests than the original HumanEval! +- ✨ **MBPP+**: 35x more tests than the original MBPP! +- ✨ **EvalPerf**: evaluating the efficiency of LLM-generated code! +- ✨ **Framework**: our packages/images/tools can easily and safely evaluate LLMs on above benchmarks. + +Why EvalPlus? + +- ✨ **Precise evaluation**: See [our leaderboard](https://evalplus.github.io/leaderboard.html) for latest LLM rankings before & after rigorous evaluation. +- ✨ **Coding rigorousness**: Look at the score differences! esp. before & after using EvalPlus tests! Less drop means more rigorousness in code generation; while a bigger drop means the generated code tends to be fragile. +- ✨ **Code efficiency**: Beyond correctness, our EvalPerf dataset evaluates the efficiency of LLM-generated code via performance-exercising coding tasks and test inputs. + +Want to know more details? Read our papers & materials! + +- **EvalPlus**: [NeurIPS'23 paper](https://openreview.net/forum?id=1qvx610Cu7), [Slides](https://docs.google.com/presentation/d/1eTxzUQG9uHaU13BGhrqm4wH5NmMZiM3nI0ezKlODxKs), [Poster](https://jw-liu.xyz/assets/pdf/EvalPlus_Poster.pdf), [Leaderboard](https://evalplus.github.io/leaderboard.html) +- **EvalPerf**: [COLM'24 paper](https://openreview.net/forum?id=IBCBMeAhmC), [Poster](https://jw-liu.xyz/assets/pdf/jiawei-colm-evalperf-poster.pdf), [Documentation](./docs/evalperf.md), [Leaderboard](https://evalplus.github.io/evalperf.html) + + +## 🔥 Quick Start + +### Code Correctness Evaluation: HumanEval(+) or MBPP(+) + +```bash +pip install --upgrade "evalplus[vllm] @ git+https://github.com/evalplus/evalplus" +# Or `pip install "evalplus[vllm]" --upgrade` for the latest stable release + +evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset [humaneval|mbpp] \ + --backend vllm \ + --greedy +``` + +
🛡️ Safe code execution within Docker :: click to expand :: +
+ +```bash +# Local generation +evalplus.codegen --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset humaneval \ + --backend vllm \ + --greedy + +# Code execution within Docker +docker run --rm --pull=always -v $(pwd)/evalplus_results:/app ganler/evalplus:latest \ + evalplus.evaluate --dataset humaneval \ + --samples /app/humaneval/ise-uiuc--Magicoder-S-DS-6.7B_vllm_temp_0.0.jsonl +``` + +
+
+ +### Code Efficiency Evaluation: EvalPerf (*nix only) + +```bash +pip install --upgrade "evalplus[perf,vllm] @ git+https://github.com/evalplus/evalplus" +# Or `pip install "evalplus[perf,vllm]" --upgrade` for the latest stable release + +sudo sh -c 'echo 0 > /proc/sys/kernel/perf_event_paranoid' # Enable perf +evalplus.evalperf --model "ise-uiuc/Magicoder-S-DS-6.7B" --backend vllm +``` + +
🛡️ Safe code execution within Docker :: click to expand :: +
+ +```bash +# Local generation +evalplus.codegen --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset evalperf \ + --backend vllm \ + --temperature 1.0 \ + --n-samples 100 + +# Code execution within Docker +sudo sh -c 'echo 0 > /proc/sys/kernel/perf_event_paranoid' # Enable perf +docker run --cap-add PERFMON --rm --pull=always -v $(pwd)/evalplus_results:/app ganler/evalplus:latest \ + evalplus.evalperf --samples /app/evalperf/ise-uiuc--Magicoder-S-DS-6.7B_vllm_temp_1.0.jsonl +``` + +
+
+ +## 🚀 LLM Backends + +### HuggingFace models + +- `transformers` backend: + +```bash +evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset [humaneval|mbpp] \ + --backend hf \ + --greedy +``` + +> [!Note] +> +> EvalPlus uses different prompts for base and chat models. +> By default it is detected by `tokenizer.chat_template` when using `hf`/`vllm` as backend. +> For other backends, only chat mode is allowed. +> +> Therefore, if your base models come with a `tokenizer.chat_template`, +> please add `--force-base-prompt` to avoid being evaluated +> in a chat mode. + +
Enable Flash Attention 2 :: click to expand :: +
+ +```bash +# Install Flash Attention 2 +pip install packaging ninja +pip install flash-attn --no-build-isolation +# Note: if you have installation problem, consider using pre-built +# wheels from https://github.com/Dao-AILab/flash-attention/releases + +# Run evaluation with FA2 +evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset [humaneval|mbpp] \ + --backend hf \ + --attn-implementation [flash_attention_2|sdpa] \ + --greedy +``` + +
+
+ +- `vllm` backend: + +```bash +evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset [humaneval|mbpp] \ + --backend vllm \ + --tp [TENSOR_PARALLEL_SIZE] \ + --greedy +``` + +- `openai` compatible servers (e.g., [vLLM](https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html)): + +```bash +# OpenAI models +export OPENAI_API_KEY="{KEY}" # https://platform.openai.com/settings/organization/api-keys +evalplus.evaluate --model "gpt-4o-2024-08-06" \ + --dataset [humaneval|mbpp] \ + --backend openai --greedy + +# DeepSeek +export OPENAI_API_KEY="{KEY}" # https://platform.deepseek.com/api_keys +evalplus.evaluate --model "deepseek-chat" \ + --dataset [humaneval|mbpp] \ + --base-url https://api.deepseek.com \ + --backend openai --greedy + +# Grok +export OPENAI_API_KEY="{KEY}" # https://console.x.ai/ +evalplus.evaluate --model "grok-beta" \ + --dataset [humaneval|mbpp] \ + --base-url https://api.x.ai/v1 \ + --backend openai --greedy + +# vLLM server +# First, launch a vLLM server: https://docs.vllm.ai/en/latest/serving/deploying_with_docker.html +evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B" \ + --dataset [humaneval|mbpp] \ + --base-url http://localhost:8000/v1 \ + --backend openai --greedy + +# GPTQModel +evalplus.evaluate --model "ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1" \ + --dataset [humaneval|mbpp] \ + --backend gptqmodel --greedy +``` + +### OpenAI models + +- Access OpenAI APIs from [OpenAI Console](https://platform.openai.com/) + +```bash +export OPENAI_API_KEY="[YOUR_API_KEY]" +evalplus.evaluate --model "gpt-4o" \ + --dataset [humaneval|mbpp] \ + --backend openai \ + --greedy +``` + +### Anthropic models + +- Access Anthropic APIs from [Anthropic Console](https://console.anthropic.com/) + +```bash +export ANTHROPIC_API_KEY="[YOUR_API_KEY]" +evalplus.evaluate --model "claude-3-haiku-20240307" \ + --dataset [humaneval|mbpp] \ + --backend anthropic \ + --greedy +``` + +### Google Gemini models + +- Access Gemini APIs from [Google AI Studio](https://aistudio.google.com/) + +```bash +export GOOGLE_API_KEY="[YOUR_API_KEY]" +evalplus.evaluate --model "gemini-1.5-pro" \ + --dataset [humaneval|mbpp] \ + --backend google \ + --greedy +``` + +### Amazon Bedrock models + +- [Amazon Bedrock](https://aws.amazon.com/bedrock/) + +```bash +export BEDROCK_ROLE_ARN="[BEDROCK_ROLE_ARN]" +evalplus.evaluate --model "anthropic.claude-3-5-sonnet-20241022-v2:0" \ + --dataset [humaneval|mbpp] \ + --backend bedrock \ + --greedy +``` + +You can checkout the generation and results at `evalplus_results/[humaneval|mbpp]/` + +
⏬ Using EvalPlus as a local repo? :: click to expand :: +
+ +```bash +git clone https://github.com/evalplus/evalplus.git +cd evalplus +export PYTHONPATH=$PYTHONPATH:$(pwd) +pip install -r requirements.txt +``` + +
+
+ +## 📚 Documents + +To learn more about how to use EvalPlus, please refer to: + +- [EvalPlus Commands](./docs/cli.md) +- [EvalPerf](./docs/evalperf.md) +- [Program Execution](./docs/execution.md) + +## 📜 Citation + +```bibtex +@inproceedings{evalplus, + title = {Is Your Code Generated by Chat{GPT} Really Correct? Rigorous Evaluation of Large Language Models for Code Generation}, + author = {Liu, Jiawei and Xia, Chunqiu Steven and Wang, Yuyao and Zhang, Lingming}, + booktitle = {Thirty-seventh Conference on Neural Information Processing Systems}, + year = {2023}, + url = {https://openreview.net/forum?id=1qvx610Cu7}, +} + +@inproceedings{evalperf, + title = {Evaluating Language Models for Efficient Code Generation}, + author = {Liu, Jiawei and Xie, Songrun and Wang, Junhao and Wei, Yuxiang and Ding, Yifeng and Zhang, Lingming}, + booktitle = {First Conference on Language Modeling}, + year = {2024}, + url = {https://openreview.net/forum?id=IBCBMeAhmC}, +} +``` + +## 🙏 Acknowledgement + +- [HumanEval](https://github.com/openai/human-eval) +- [MBPP](https://github.com/google-research/google-research/tree/master/mbpp) diff --git a/evalplus/evalplus.egg-info/SOURCES.txt b/evalplus/evalplus.egg-info/SOURCES.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ed64fd64c2e21b5b189b3c61f1e5cc401aa861f --- /dev/null +++ b/evalplus/evalplus.egg-info/SOURCES.txt @@ -0,0 +1,54 @@ +LICENSE +MANIFEST.in +README.md +pyproject.toml +setup.cfg +evalplus/__init__.py +evalplus/_version.py +evalplus/codegen.py +evalplus/config.py +evalplus/evalperf.py +evalplus/evaluate.py +evalplus/inputgen.py +evalplus/lecacy_sanitize.py +evalplus/sanitize.py +evalplus/syncheck.py +evalplus/utils.py +evalplus.egg-info/PKG-INFO +evalplus.egg-info/SOURCES.txt +evalplus.egg-info/dependency_links.txt +evalplus.egg-info/entry_points.txt +evalplus.egg-info/requires.txt +evalplus.egg-info/top_level.txt +evalplus/data/__init__.py +evalplus/data/humaneval.py +evalplus/data/mbpp.py +evalplus/data/utils.py +evalplus/eval/__init__.py +evalplus/eval/_special_oracle.py +evalplus/eval/utils.py +evalplus/gen/__init__.py +evalplus/gen/chatgpt_gen.py +evalplus/gen/mut_gen.py +evalplus/gen/type_mut.py +evalplus/gen/util/__init__.py +evalplus/gen/util/anthropic_request.py +evalplus/gen/util/openai_request.py +evalplus/perf/__init__.py +evalplus/perf/profile.py +evalplus/perf/sampling.py +evalplus/perf/sas.py +evalplus/perf/select_pe_inputs.py +evalplus/perf/select_pe_tasks.py +evalplus/provider/__init__.py +evalplus/provider/anthropic.py +evalplus/provider/base.py +evalplus/provider/bedrock.py +evalplus/provider/google.py +evalplus/provider/gptqmodel.py +evalplus/provider/hf.py +evalplus/provider/openai.py +evalplus/provider/utility.py +evalplus/provider/vllm.py +tests/test_legacy_sanitizer.py +tests/test_treesitter_sanitizer.py \ No newline at end of file diff --git a/evalplus/evalplus.egg-info/dependency_links.txt b/evalplus/evalplus.egg-info/dependency_links.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/evalplus/evalplus.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/evalplus/evalplus.egg-info/entry_points.txt b/evalplus/evalplus.egg-info/entry_points.txt new file mode 100644 index 0000000000000000000000000000000000000000..b626d76ab981035ae9faa5509615f5d6afa7edd9 --- /dev/null +++ b/evalplus/evalplus.egg-info/entry_points.txt @@ -0,0 +1,7 @@ +[console_scripts] +evalplus.codegen = evalplus.codegen:main +evalplus.evalperf = evalplus.evalperf:main +evalplus.evaluate = evalplus.evaluate:main +evalplus.inputgen = evalplus.inputgen:main +evalplus.sanitize = evalplus.sanitize:main +evalplus.syncheck = evalplus.syncheck:main diff --git a/evalplus/evalplus.egg-info/requires.txt b/evalplus/evalplus.egg-info/requires.txt new file mode 100644 index 0000000000000000000000000000000000000000..42d64297a90ad46b8955205c29c00f557bf16a47 --- /dev/null +++ b/evalplus/evalplus.egg-info/requires.txt @@ -0,0 +1,28 @@ +wget>=3.2 +tempdir>=0.7.1 +multipledispatch>=0.6.0 +appdirs>=1.4.4 +numpy>=1.19.5 +tqdm>=4.56.0 +termcolor>=2.0.0 +fire>=0.6.0 +openai>=1.11.1 +tree_sitter>=0.22.0 +tree-sitter-python>=0.21.0 +rich>=12.3.0 +transformers>=4.43.0 +anthropic>=0.34.1 +google-generativeai>=0.7.2 +datasets>=2.21.0 +psutil>=5.9.0 +boto3>=1.35.0 + +[gptqmodel] +gptqmodel>=1.4.1 + +[perf] +Pympler>=1.0.1 +cirron>=0.4 + +[vllm] +vllm>=0.5.1 diff --git a/evalplus/evalplus.egg-info/top_level.txt b/evalplus/evalplus.egg-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9120d712d9a606670a4dee3a84e0925237ee1d6 --- /dev/null +++ b/evalplus/evalplus.egg-info/top_level.txt @@ -0,0 +1 @@ +evalplus diff --git a/evalplus/evalplus/__init__.py b/evalplus/evalplus/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..14435419b581e1d71ae025c68a02e8b6a9bffb9e --- /dev/null +++ b/evalplus/evalplus/__init__.py @@ -0,0 +1,4 @@ +try: + from evalplus._version import __version__, __version_tuple__ +except ImportError: + __version__ = "local-dev" diff --git a/evalplus/evalplus/_version.py b/evalplus/evalplus/_version.py new file mode 100644 index 0000000000000000000000000000000000000000..973526b6257a660dd49bee757bd02f14baf002b4 --- /dev/null +++ b/evalplus/evalplus/_version.py @@ -0,0 +1,16 @@ +# file generated by setuptools_scm +# don't change, don't track in version control +TYPE_CHECKING = False +if TYPE_CHECKING: + from typing import Tuple, Union + VERSION_TUPLE = Tuple[Union[int, str], ...] +else: + VERSION_TUPLE = object + +version: str +__version__: str +__version_tuple__: VERSION_TUPLE +version_tuple: VERSION_TUPLE + +__version__ = version = '0.4.0.dev33' +__version_tuple__ = version_tuple = (0, 4, 0, 'dev33') diff --git a/evalplus/evalplus/codegen.py b/evalplus/evalplus/codegen.py new file mode 100644 index 0000000000000000000000000000000000000000..63c2270ca8a17af8717edbfb9f9831528157bd83 --- /dev/null +++ b/evalplus/evalplus/codegen.py @@ -0,0 +1,272 @@ +import json +import os +from typing import Dict, List, Optional + +from evalplus.data import get_evalperf_data, get_human_eval_plus, get_mbpp_plus +from evalplus.provider import DecoderBase, make_model +from evalplus.sanitize import sanitize +from evalplus.utils import progress + + +def codegen( + target_path: str, + model: DecoderBase, + dataset: Dict, + greedy=False, + n_samples=1, + id_range=None, + resume=True, +): + task2nexist = {} + if resume and target_path.endswith(".jsonl") and os.path.isfile(target_path): + with open(target_path, "r") as f: + for line in f: + if not line.strip(): + continue + task_id = json.loads(line)["task_id"] + task2nexist[task_id] = task2nexist.get(task_id, 0) + 1 + + if target_path.endswith(".jsonl"): + raw_target_path = target_path.replace(".jsonl", ".raw.jsonl") + else: + raw_target_path = target_path + ".raw" + os.makedirs(target_path, exist_ok=True) + + print(f"Sanitized code outputs will be saved to {target_path}") + print(f"Raw outputs will be saved to {raw_target_path}") + + backend_type: str = type(model).__name__ + with progress(backend_type) as p: + for task_id, task in p.track(dataset.items()): + if id_range is not None: + id_num = int(task_id.split("/")[1]) + low, high = id_range + if id_num < low or id_num >= high: + p.console.print(f"Skipping {task_id} as it is not in {id_range}") + continue + + if not target_path.endswith(".jsonl"): + p_name = task_id.replace("/", "_") + os.makedirs(os.path.join(target_path, p_name), exist_ok=True) + task2nexist[task_id] = len( + [ + f + for f in os.listdir(os.path.join(target_path, p_name)) + if f.endswith(".py") + ] + ) + + n_more_samples = n_samples + log = f"Codegen: {task_id} @ {model}" + if resume and task2nexist.get(task_id, 0) > 0: + log += f" (resuming from {task2nexist[task_id]})" + n_more_samples -= task2nexist[task_id] + + p.console.print(log) + + sidx = n_samples - n_more_samples + while sidx < n_samples: + prompt = task["prompt"].strip() + "\n" + outputs = model.codegen( + prompt, + do_sample=not greedy, + num_samples=n_samples - sidx, + ) + assert outputs, "No outputs from model!" + for impl in outputs: + solution = prompt + impl if model.is_direct_completion() else impl + sanitized_solution = sanitize( + solution, entrypoint=task["entry_point"] + ) + if target_path.endswith(".jsonl"): + # Writing the sanitized version + with open(target_path, "a") as f: + f.write( + json.dumps( + {"task_id": task_id, "solution": sanitized_solution} + ) + + "\n" + ) + + # Writing the raw version + with open(raw_target_path, "a") as f: + f.write( + json.dumps({"task_id": task_id, "solution": solution}) + + "\n" + ) + else: + # Writing the sanitized version + with open( + os.path.join(target_path, p_name, f"{sidx}.py"), + "w", + encoding="utf-8", + ) as f: + f.write(sanitized_solution) + + # Writing the raw version + with open( + os.path.join(raw_target_path, p_name, f"{sidx}.py"), + "w", + encoding="utf-8", + ) as f: + f.write(solution) + sidx += 1 + + +def run_codegen( + model: str, + dataset: str, + root: str = "evalplus_results", + bs: Optional[int] = None, + n_samples: int = 1, + temperature: float = 0.0, + resume: bool = True, + greedy: bool = False, + id_range: List = None, + version: str = "default", + backend: str = "vllm", + force_base_prompt: bool = False, + base_url: str = None, + tp: int = 1, + evalperf_type: str = None, # For EvalPerf + jsonl_fmt: bool = True, + attn_implementation: str = "eager", + device_map: Optional[str] = None, + trust_remote_code: bool = False, + enable_prefix_caching: bool = False, + enable_chunked_prefill: bool = False, + dtype: str = "bfloat16", + gptqmodel_backend: str = "auto", # For GPTQModel + gguf_file: Optional[str] = None +): + assert dataset in ["humaneval", "mbpp", "evalperf"], f"Invalid dataset {dataset}" + assert evalperf_type is None or evalperf_type in [ + "instruct", + "perf-instruct", + "perf-CoT", + ] + + # Make dir for codes generated by each model + identifier = model.strip("./").replace("/", "--") + f"_{backend}_temp_{temperature}" + if evalperf_type: + identifier += f"-{evalperf_type}" + + target_path = os.path.join(root, dataset, identifier) + if jsonl_fmt: + target_path += ".jsonl" + else: + os.makedirs(target_path, exist_ok=True) + + if dataset == "humaneval": + dataset_dict = get_human_eval_plus(version=version) + elif dataset == "mbpp": + dataset_dict = get_mbpp_plus(version=version) + elif dataset == "evalperf": + original_dataset = {**get_human_eval_plus(), **get_mbpp_plus()} + dataset_dict = {k: original_dataset[k] for k in get_evalperf_data()} + assert id_range is None, "id_range not supported for evalperf" + else: + raise ValueError(f"Invalid dataset {dataset}") + + all_tasks_complete = False + if jsonl_fmt and os.path.isfile(target_path): + task_counts = {} + with open(target_path, "r") as f: + for line in f: + if not line.strip(): + continue + data = json.loads(line) + task_id = data["task_id"] + task_counts[task_id] = task_counts.get(task_id, 0) + 1 + + all_tasks_complete = all( + task_counts.get(task_id, 0) >= n_samples + for task_id in dataset_dict.keys() + ) + + if all_tasks_complete: + print("All samples are already cached. Skipping codegen.") + return target_path + + if greedy and (temperature != 0 or bs != 1 or n_samples != 1): + temperature = 0.0 + bs = 1 + n_samples = 1 + print("Greedy decoding ON (--greedy): setting bs=1, n_samples=1, temperature=0") + + if id_range is not None: + assert len(id_range) == 2, "id_range must be a list of length 2" + assert id_range[0] < id_range[1], "id_range must be increasing" + id_range = tuple(id_range) + + if bs is None: + bs = min(n_samples, 32) + print(f"Setting batch size to {bs}") + + # Make project dir + os.makedirs(root, exist_ok=True) + # Make dataset dir + os.makedirs(os.path.join(root, dataset), exist_ok=True) + + # Model instructions + instruction_prefix = "Please provide a self-contained Python script that solves the following problem in a markdown code block:" + response_prefix = "Below is a Python script with a self-contained function that solves the problem and passes corresponding tests:" + + if evalperf_type == "perf-instruct": + instruction_prefix = "Please provide an efficient and self-contained Python script that solves the following problem in a markdown code block:" + response_prefix = "Below is a Python script with a self-contained function that efficiently solves the problem and passes corresponding tests:" + elif evalperf_type == "perf-CoT": + instruction_prefix = "Think step by step: please provide an efficient and self-contained Python script that solves the following problem in a markdown code block:" + response_prefix = "Below is a Python script with a self-contained function that efficiently solves the problem and passes corresponding tests:" + elif evalperf_type is not None and evalperf_type != "instruct": + raise ValueError(f"Invalid evalperf_type: {evalperf_type}") + + # Model creation + model_runner = make_model( + model=model, + backend=backend, + batch_size=bs, + temperature=temperature, + force_base_prompt=force_base_prompt, + dataset=dataset, + base_url=base_url, + tp=tp, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + device_map=device_map, + attn_implementation=attn_implementation, + trust_remote_code=trust_remote_code, + enable_prefix_caching=enable_prefix_caching, + enable_chunked_prefill=enable_chunked_prefill, + dtype=dtype, + gptqmodel_backend=gptqmodel_backend, + gguf_file=gguf_file, + ) + + codegen( + target_path=target_path, + dataset=dataset_dict, + greedy=greedy, + model=model_runner, + n_samples=n_samples, + resume=resume, + id_range=id_range, + ) + + # force shutdown the model runner + del model_runner + import gc + + gc.collect() + + return target_path + + +def main(): + from fire import Fire + + Fire(run_codegen) + + +if __name__ == "__main__": + main() diff --git a/evalplus/evalplus/config.py b/evalplus/evalplus/config.py new file mode 100644 index 0000000000000000000000000000000000000000..7987ba39c1ad2eb586e17b14aa2a1beb13b7c4fa --- /dev/null +++ b/evalplus/evalplus/config.py @@ -0,0 +1,16 @@ +## EvalPlus +DEFAULT_GT_TIME_LIMIT_FACTOR = 4.0 +DEFAULT_MIN_TIME_LIMIT = 1.0 + +## EvalPerf + +### General +PERF_PROFILE_ROUNDS = 1 +PERF_RAM_GB_PER_PROC = 12 + +### Evaluation Phase +PERF_EVAL_TIMEOUT_SECOND = 45 + +### Curation Phase +PERF_CURATE_TIMEOUT_SECOND = 20 +PREF_CURATE_MIN_INSTRUCTION = 10000 diff --git a/evalplus/evalplus/data/__init__.py b/evalplus/evalplus/data/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..64e8d726996293f90dfdbd1e93a7db809697b8fb --- /dev/null +++ b/evalplus/evalplus/data/__init__.py @@ -0,0 +1,14 @@ +import json + +from datasets import load_dataset + +from evalplus.data.humaneval import get_human_eval_plus, get_human_eval_plus_hash +from evalplus.data.mbpp import get_mbpp_plus, get_mbpp_plus_hash +from evalplus.data.utils import load_solutions, write_directory, write_jsonl + + +def get_evalperf_data(): + dataset = load_dataset("evalplus/evalperf", split="test").to_list() + for d in dataset: + d["pe_input"] = json.loads(d["pe_input"]) + return {task["task_id"]: task for task in dataset} diff --git a/evalplus/evalplus/data/humaneval.py b/evalplus/evalplus/data/humaneval.py new file mode 100644 index 0000000000000000000000000000000000000000..9e32b5885d5fff689f6706e9abbd15886e3d5a1f --- /dev/null +++ b/evalplus/evalplus/data/humaneval.py @@ -0,0 +1,96 @@ +import hashlib +import json +import os +from typing import Dict + +from evalplus.data.utils import ( + CACHE_DIR, + completeness_check, + get_dataset_metadata, + make_cache, + stream_jsonl, +) + +HUMANEVAL_PLUS_VERSION = "v0.1.10" +HUMANEVAL_OVERRIDE_PATH = os.environ.get("HUMANEVAL_OVERRIDE_PATH", None) + + +def _ready_human_eval_plus_path(mini=False, noextreme=False, version="default") -> str: + if HUMANEVAL_OVERRIDE_PATH: + return HUMANEVAL_OVERRIDE_PATH + + version = HUMANEVAL_PLUS_VERSION if version == "default" else version + url, plus_path = get_dataset_metadata( + "HumanEvalPlus", HUMANEVAL_PLUS_VERSION, mini, noextreme + ) + make_cache(url, plus_path) + + return plus_path + + +def get_human_eval_plus_hash(mini=False, noextreme=False, version="default") -> str: + """Get the hash of HumanEvalPlus. + Returns: + str: The hash of HumanEvalPlus + """ + plus_path = _ready_human_eval_plus_path(mini, noextreme, version="default") + with open(plus_path, "rb") as f: + plus = f.read() + return hashlib.md5(plus).hexdigest() + + +def get_human_eval_plus( + err_incomplete=True, mini=False, noextreme=False, version="default" +) -> Dict[str, Dict]: + """Get HumanEvalPlus locally. + Args: + err_incomplete (bool, optional): Whether to raise error if HumanEvalPlus is not complete. Defaults to True. + mini (bool, optional): Whether to use the mini version of HumanEvalPlus. Defaults to False. + Returns: + List[Dict[str, str]]: List of dicts with keys "task_id", "prompt", "contract", "canonical_solution", "base_input" + Notes: + "task_id" is the identifier string for the task + "prompt" is the function signature with docstring + "contract" is the assertions for the function's input (validity) + "canonical_solution" is the ground-truth implementation for diff-testing + "base_input" is the test inputs from original HumanEval + "plus_input" is the test inputs brought by EvalPlus + "atol" is the absolute tolerance for diff-testing + """ + plus_path = _ready_human_eval_plus_path( + mini=mini, noextreme=noextreme, version=version + ) + plus = {task["task_id"]: task for task in stream_jsonl(plus_path)} + if err_incomplete: + completeness_check("HumanEval+", plus) + return plus + + +def get_human_eval() -> Dict[str, Dict]: + """Get HumanEval from OpenAI's github repo and return as a list of parsed dicts. + + Returns: + List[Dict[str, str]]: List of dicts with keys "prompt", "test", "entry_point" + + Notes: + "task_id" is the identifier string for the task. + "prompt" is the prompt to be used for the task (function signature with docstrings). + "test" is test-cases wrapped in a `check` function. + "entry_point" is the name of the function. + """ + # Check if human eval file exists in CACHE_DIR + human_eval_path = os.path.join(CACHE_DIR, "HumanEval.jsonl") + make_cache( + "https://github.com/openai/human-eval/raw/master/data/HumanEval.jsonl.gz", + human_eval_path, + ) + + human_eval = open(human_eval_path, "r").read().split("\n") + human_eval = [json.loads(line) for line in human_eval if line] + + # Handle 115_max_fill.py to make its docstring well-formed + human_eval[115]["prompt"] = "import math\n" + human_eval[115]["prompt"].replace( + "import math\n", "" + ) + + return {task["task_id"]: task for task in human_eval} diff --git a/evalplus/evalplus/data/mbpp.py b/evalplus/evalplus/data/mbpp.py new file mode 100644 index 0000000000000000000000000000000000000000..77cca7741add28f8fceb6067f6c98f713c80784f --- /dev/null +++ b/evalplus/evalplus/data/mbpp.py @@ -0,0 +1,203 @@ +import hashlib +import json +import os +from typing import Dict + +import wget + +from evalplus.data.utils import ( + CACHE_DIR, + completeness_check, + get_dataset_metadata, + make_cache, + stream_jsonl, +) + +MBPP_PLUS_VERSION = "v0.2.0" +MBPP_OVERRIDE_PATH = os.environ.get("MBPP_OVERRIDE_PATH", None) + + +def _ready_mbpp_plus_path(mini=False, noextreme=False, version="default") -> str: + assert mini is False, "Mini version of MBPP+ is not available yet." + + if MBPP_OVERRIDE_PATH: + return MBPP_OVERRIDE_PATH + + version = MBPP_PLUS_VERSION if version == "default" else version + + url, plus_path = get_dataset_metadata("MbppPlus", version, mini, noextreme) + make_cache(url, plus_path) + + return plus_path + + +def mbpp_serialize_inputs(task_id: str, inputs: list) -> list: + task_id = int(task_id.split("/")[-1]) + + if task_id == 115: + return [[[list(item) for item in inp[0]]] for inp in inputs] + elif task_id == 124: + return [(str(inp[0]), str(inp[1])) for inp in inputs] + elif task_id == 252: + return [[str(inp[0])] for inp in inputs] + + return inputs + + +def mbpp_deserialize_inputs(task_id: str, inputs: list) -> list: + task_id = int(task_id.split("/")[-1]) + if task_id in [ + 2, + 116, + 132, + 143, + 222, + 261, + 273, + 394, + 399, + 421, + 424, + 429, + 470, + 560, + 579, + 596, + 616, + 630, + 726, + 740, + 744, + 809, + ]: + modified_inputs = [[tuple(lst) for lst in inp] for inp in inputs] + + elif task_id in [ + 63, + 64, + 70, + 94, + 120, + 237, + 272, + 299, + 400, + 409, + 417, + 438, + 473, + 614, + 780, + ]: + modified_inputs = [ + [[tuple(lst) for lst in lst_lst] for lst_lst in inp] for inp in inputs + ] + + elif task_id in [75, 413, 444, 753]: + modified_inputs = [ + [[tuple(lst) for lst in inp[0]]] + [inp[1]] for inp in inputs + ] + + elif task_id == 106 or task_id == 750: + modified_inputs = [[inp[0]] + [tuple(inp[1])] for inp in inputs] + + elif task_id == 115: + modified_inputs = [ + [ + [ + set(item) if isinstance(item, list) and len(item) else {} + for item in inp[0] + ] + ] + for inp in inputs + ] + + elif task_id == 124: + modified_inputs = [(float(inp[0]), complex(inp[1])) for inp in inputs] + + elif task_id in [250, 405, 446, 617, 720, 763, 808]: + modified_inputs = [[tuple(inp[0])] + [inp[1]] for inp in inputs] + + elif task_id in [259, 401, 445]: + modified_inputs = [ + [[tuple(lst) for lst in lst_lst] for lst_lst in inp] for inp in inputs + ] + modified_inputs = [[tuple(lst) for lst in inp] for inp in modified_inputs] + + elif task_id == 278: + modified_inputs = [ + [[tuple(item) if isinstance(item, list) else item for item in inp[0]]] + for inp in inputs + ] + modified_inputs = [[tuple(lst) for lst in inp] for inp in modified_inputs] + + elif task_id == 307: + modified_inputs = [[tuple(inp[0])] + [inp[1], inp[2]] for inp in inputs] + + elif task_id == 722: + modified_inputs = [ + [{key: tuple(value) for key, value in inp[0].items()}] + inp[1:] + for inp in inputs + ] + + elif task_id == 252: + modified_inputs = [[complex(inp[0])] for inp in inputs] + + elif task_id in [580, 615, 791]: + + def turn_all_list_into_tuple(inp): + if isinstance(inp, list): + return tuple([turn_all_list_into_tuple(item) for item in inp]) + return inp + + modified_inputs = [turn_all_list_into_tuple(inp) for inp in inputs] + + else: + modified_inputs = inputs + + return modified_inputs + + +def get_mbpp() -> Dict[str, Dict]: + """Get sanitized MBPP from Google's Github repo.""" + mbpp_path = os.path.join(CACHE_DIR, "sanitized-mbpp.json") + + if not os.path.exists(mbpp_path): + os.makedirs(CACHE_DIR, exist_ok=True) + + # Install MBPP-sanitized from scratch + print("Downloading original MBPP dataset...") + wget.download( + "https://github.com/google-research/google-research/raw/master/mbpp/sanitized-mbpp.json", + mbpp_path, + ) + + with open(mbpp_path, "r") as f: + mbpp = json.load(f) + + return {str(task["task_id"]): task for task in mbpp} + + +def get_mbpp_plus( + err_incomplete=True, mini=False, noextreme=False, version="default" +) -> Dict[str, Dict]: + plus_path = _ready_mbpp_plus_path(mini=mini, noextreme=noextreme, version=version) + plus = {task["task_id"]: task for task in stream_jsonl(plus_path)} + for task_id, task in plus.items(): + task["base_input"] = mbpp_deserialize_inputs(task_id, task["base_input"]) + task["plus_input"] = mbpp_deserialize_inputs(task_id, task["plus_input"]) + + if err_incomplete: + completeness_check("MBPP+", plus) + return plus + + +def get_mbpp_plus_hash(mini=False, noextreme=False, version="default") -> str: + """Get the hash of MbppPlus. + Returns: + str: The hash of MbppPlus + """ + plus_path = _ready_mbpp_plus_path(mini=mini, noextreme=noextreme, version=version) + with open(plus_path, "rb") as f: + plus = f.read() + return hashlib.md5(plus).hexdigest() diff --git a/evalplus/evalplus/data/utils.py b/evalplus/evalplus/data/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..2b5fab8735542e85fb02b668c6dc6fcebff30d1e --- /dev/null +++ b/evalplus/evalplus/data/utils.py @@ -0,0 +1,166 @@ +import gzip +import json +import os +from os import PathLike +from typing import Dict, Iterable + +import tempdir +import wget +from appdirs import user_cache_dir + +CACHE_DIR = user_cache_dir("evalplus") + + +def get_dataset_metadata(name: str, version: str, mini: bool, noextreme: bool = False): + assert name in ["HumanEvalPlus", "MbppPlus"], f"Unknown/unsupported dataset: {name}" + extra = "" + assert not (mini and noextreme), "Cannot have both mini and noextreme" + if mini: + extra = "-Mini" + if noextreme: + extra = "-NoExtreme" + url = f"https://github.com/evalplus/{name.lower()}_release/releases/download/{version}/{name}{extra}.jsonl.gz" + cache_path = os.path.join(CACHE_DIR, f"{name}{extra}-{version}.jsonl") + return url, cache_path + + +def make_cache(gzip_url, cache_path): + # Check if human eval file exists in CACHE_DIR + if not os.path.exists(cache_path): + # Install HumanEval dataset and parse as jsonl + print(f"Downloading dataset from {gzip_url}") + with tempdir.TempDir() as tmpdir: + plus_gz_path = os.path.join(tmpdir, f"data.jsonl.gz") + wget.download(gzip_url, plus_gz_path) + + with gzip.open(plus_gz_path, "rb") as f: + plus = f.read().decode("utf-8") + + # create CACHE_DIR if not exists + if not os.path.exists(CACHE_DIR): + os.makedirs(CACHE_DIR) + + # Write the original human eval file to CACHE_DIR + with open(cache_path, "w") as f: + f.write(plus) + + +def write_jsonl( + filename: str, data: Iterable[Dict], append: bool = False, drop_builtin: bool = True +): + """ + Writes an iterable of dictionaries to jsonl + """ + if append: + mode = "ab" + else: + mode = "wb" + filename = os.path.expanduser(filename) + if filename.endswith(".gz"): + with open(filename, mode) as fp: + with gzip.GzipFile(fileobj=fp, mode="wb") as gzfp: + for x in data: + if drop_builtin: + x = {k: v for k, v in x.items() if not k.startswith("_")} + gzfp.write((json.dumps(x) + "\n").encode("utf-8")) + else: + with open(filename, mode) as fp: + for x in data: + if drop_builtin: + x = {k: v for k, v in x.items() if not k.startswith("_")} + fp.write((json.dumps(x) + "\n").encode("utf-8")) + + +def stream_jsonl(filename: str) -> Iterable[Dict]: + """ + Parses each jsonl line and yields it as a dictionary + """ + if filename.endswith(".gz"): + with open(filename, "rb") as gzfp: + with gzip.open(gzfp, "rt") as fp: + for line in fp: + if any(not x.isspace() for x in line): + yield json.loads(line) + else: + with open(filename, "r") as fp: + for line in fp: + if any(not x.isspace() for x in line): + yield json.loads(line) + + +def load_solutions(sample_path: PathLike) -> Iterable[Dict]: + """We accept two formats of inputs. + + `sample.jsonl` which is the format from HumanEval, i.e., {task_id, completion or solution}. + + A folder which contains sub-folders named after the task_id. Each sub-folder + contains samples named in `[?].py` where `?` is the solution id starting with 0. + Different from `sample.jsonl`, the solutions must be complete (with prompt prefix). + """ + + # if it is a file + if os.path.isfile(sample_path): + for i, sample in enumerate(stream_jsonl(sample_path)): + assert ( + "completion" in sample or "solution" in sample + ), "No completion or solution found in sample!" + assert "solution" not in sample or isinstance( + sample["solution"], str + ), "Solution must be a string! If you have multiple solutions, please repeat the task_id." + assert "completion" not in sample or isinstance( + sample["completion"], str + ), "Completion must be a string! If you have multiple solutions, please repeat the task_id." + + sample["_identifier"] = ( + sample["task_id"] + f" (line {i+1} in {sample_path})" + ) + yield sample + else: + # if it is a folder + for task_id in os.listdir(sample_path): + task_path = os.path.join(sample_path, task_id) + if not os.path.isdir(task_path): + continue + + for solution_id in os.listdir(task_path): + solution_path = os.path.join(task_path, solution_id) + if os.path.isfile(solution_path) and solution_path.endswith(".py"): + with open(solution_path, "r") as f: + completion = f.read() + yield { + "_identifier": solution_path, + "_path": solution_path, + "task_id": task_id.replace("_", "/"), + "solution": completion, + } + + +def write_directory(directory: PathLike, data: Iterable[Dict]): + os.makedirs(directory, exist_ok=True) + counters = {} + for sample in data: + assert "solution" in sample, "Samples must come with `solution` field!" + task_id = sample["task_id"].replace("/", "_") + task_dir = os.path.join(directory, task_id) + os.makedirs(task_dir, exist_ok=True) + if task_id not in counters: + counters[task_id] = 0 + sample_id = counters[task_id] + with open(os.path.join(task_dir, f"{sample_id}.py"), "w") as f: + f.write(sample["solution"]) + counters[task_id] += 1 + + +def completeness_check(name, plus): + for task_id, task in plus.items(): + for key in [ + "prompt", + "contract", + "canonical_solution", + "base_input", + "plus_input", + "atol", + ]: + assert key in task, f"{key} not found in {name} #{task_id}!" + + +def to_raw(string): + return string.encode("unicode-escape").decode().replace("\\\\", "\\") diff --git a/evalplus/evalplus/eval/__init__.py b/evalplus/evalplus/eval/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..337e0b25293db97719af3f31bfc1bca982c35b4b --- /dev/null +++ b/evalplus/evalplus/eval/__init__.py @@ -0,0 +1,316 @@ +# The MIT License +# +# Copyright (c) OpenAI (https://openai.com) +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +# THE SOFTWARE. + +import itertools +import multiprocessing +import os +import time +from multiprocessing import Array, Value +from typing import Any, Dict, List, Optional, Tuple, Union + +import numpy as np +import psutil + +from evalplus.config import * +from evalplus.eval._special_oracle import ( + MBPP_OUTPUT_NOT_NONE_TASKS, + MBPP_OUTPUT_SET_EQ_TASKS, + _digit_distance_nums, + _poly, + _surface_Area, +) +from evalplus.eval.utils import ( + create_tempdir, + reliability_guard, + swallow_io, + time_limit, +) + + +def compatible_eval_result(results: Dict) -> Dict: + # compatibility + for task_results in results["eval"].values(): + # update the "files" field to "nfiles" + if "files" in task_results and "nfiles" not in task_results: + task_results["nfiles"] = len(task_results.pop("files")) + return results + + +# unbiased estimator from https://github.com/openai/human-eval +def estimate_pass_at_k( + num_samples: Union[int, List[int], np.ndarray], + num_correct: Union[List[int], np.ndarray], + k: int, +) -> np.ndarray: + """ + Estimates pass@k of each problem and returns them in an array. + """ + + def estimator(n: int, c: int, k: int) -> float: + """ + Calculates 1 - comb(n - c, k) / comb(n, k). + """ + if n - c < k: + return 1.0 + return 1.0 - np.prod(1.0 - k / np.arange(n - c + 1, n + 1)) + + if isinstance(num_samples, int): + num_samples_it = itertools.repeat(num_samples, len(num_correct)) + else: + assert len(num_samples) == len(num_correct) + num_samples_it = iter(num_samples) + + return np.array( + [estimator(int(n), int(c), k) for n, c in zip(num_samples_it, num_correct)] + ) + + +PASS = "pass" +FAIL = "fail" +TIMEOUT = "timeout" + +_SUCCESS = 0 +_FAILED = 1 +_TIMEOUT = 2 +_UNKNOWN = 3 + +_mapping = {_SUCCESS: PASS, _FAILED: FAIL, _TIMEOUT: TIMEOUT, _UNKNOWN: None} + + +def query_maximum_memory_bytes() -> Optional[int]: + # Disable functionalities that can make destructive changes to the test. + # allow only 4GB memory usage + maximum_memory_bytes = os.getenv( + "EVALPLUS_MAX_MEMORY_BYTES", 4 * 1024 * 1024 * 1024 + ) + maximum_memory_bytes = min(int(maximum_memory_bytes), psutil.virtual_memory().total) + if maximum_memory_bytes == -1: + return None + return maximum_memory_bytes + + +def is_floats(x) -> bool: + # check if it is float; List[float]; Tuple[float] + if isinstance(x, float): + return True + if isinstance(x, (list, tuple)) and x: + return all(isinstance(i, float) for i in x) + if isinstance(x, np.ndarray): + return x.dtype == np.float64 or x.dtype == np.float32 + return False + + +def unsafe_execute( + dataset: str, + entry_point: str, + code: str, + inputs, + expected: List, + time_limits, + atol, + fast_check, + stat, # Value + details, # Array + progress, # Value +): + with create_tempdir(): + # These system calls are needed when cleaning up tempdir. + import os + import shutil + + rmtree = shutil.rmtree + rmdir = os.rmdir + chdir = os.chdir + #reliability_guard(maximum_memory_bytes=query_maximum_memory_bytes()) + exec_globals = {} + try: + with swallow_io(): + exec(code, exec_globals) + fn = exec_globals[entry_point] + + for i, inp in enumerate(inputs): + try: + with time_limit(time_limits[i]): + with swallow_io(): + out = fn(*inp) + + exp = expected[i] + exact_match = out == exp + + # ================================================ # + # ============== special oracles ================= # + if dataset == "mbpp": + if "are_equivalent" == entry_point: # Mbpp/164 special oracle + exact_match = exact_match or True + elif "sum_div" == entry_point: # Mbpp/295 special oracle + exact_match = exact_match or out == 0 + elif "surface_Area" == entry_point: # Mbpp/581 special oracle + exact_match = ( + exact_match or abs(out - _surface_Area(*inp)) <= atol + ) + elif ( + "digit_distance_nums" == entry_point + ): # Mbpp/558 special oracle + exact_match = exact_match or out == _digit_distance_nums( + *inp + ) + elif entry_point in MBPP_OUTPUT_SET_EQ_TASKS: + exact_match = set(out) == set(exp) + elif entry_point in MBPP_OUTPUT_NOT_NONE_TASKS: + # exp is True if not None + # False if None + if isinstance(out, bool): + exact_match = out == exp + else: + exact_match = exp == (out is not None) + + if dataset == "humaneval": + if "find_zero" == entry_point: + assert abs(_poly(*inp, out)) <= atol + details[i] = True + progress.value += 1 + continue + # ============== special oracles ================= # + # ================================================ # + + if atol == 0 and is_floats(exp): + atol = 1e-6 # enforce atol for float comparison + if not exact_match and atol != 0: + # explicitly set rtol=1e-07 + # to match `np.testing.assert_allclose`'s default values + assert type(out) == type(exp) + if isinstance(exp, (list, tuple)): + assert len(out) == len(exp) + assert np.allclose(out, exp, rtol=1e-07, atol=atol) + else: + assert exact_match + except BaseException: + details[i] = False + progress.value += 1 + if fast_check: + raise + continue + + details[i] = True + progress.value += 1 + + stat.value = _SUCCESS + except BaseException: + stat.value = _FAILED + # Needed for cleaning up. + shutil.rmtree = rmtree + os.rmdir = rmdir + os.chdir = chdir + + +def untrusted_check( + dataset: str, + code: str, + inputs: List[Any], + entry_point: str, + expected, + atol, + ref_time: List[float], + fast_check: bool = False, + min_time_limit: float = DEFAULT_MIN_TIME_LIMIT, + gt_time_limit_factor: float = DEFAULT_GT_TIME_LIMIT_FACTOR, +) -> Tuple[str, np.ndarray]: + time_limits = [max(min_time_limit, gt_time_limit_factor * t) for t in ref_time] + timeout = min(os.getenv("EVALPLUS_TIMEOUT_PER_TASK", 60), sum(time_limits)) + 1 + if not fast_check: + timeout += 1 # extra time for data collection + + # shared memory objects + progress = Value("i", 0) + stat = Value("i", _UNKNOWN) + details = Array("b", [False for _ in range(len(inputs))]) + + p = multiprocessing.Process( + target=unsafe_execute, + args=( + dataset, + entry_point, + code, + inputs, + expected, + time_limits, + atol, + fast_check, + # return values + stat, + details, + progress, + ), + ) + p.start() + p.join(timeout=timeout + 1) + if p.is_alive(): + p.terminate() + time.sleep(0.1) + if p.is_alive(): + p.kill() + time.sleep(0.1) + + stat = _mapping[stat.value] + details = details[: progress.value] + + if not stat: + stat = TIMEOUT + + if stat == PASS: + if len(details) != len(inputs) or not all(details): + stat = FAIL + + return stat, details + + +def evaluate_files( + dataset: str, + files: List[str], + inputs: List, + expected: List, + entry_point: str, + atol: float, + ref_time: List[float], + fast_check: bool = False, + min_time_limit: float = DEFAULT_MIN_TIME_LIMIT, + gt_time_limit_factor: float = DEFAULT_GT_TIME_LIMIT_FACTOR, +) -> List[Tuple[str, List[bool]]]: + ret = [] + # sort files by the id in name (i.e., "../n.py") + files = sorted(files, key=lambda x: int(x.split("/")[-1].split(".")[0])) + for file in files: + code = open(file, "r").read() + stat, det = untrusted_check( + dataset, + code, + inputs, + entry_point, + expected=expected, + atol=atol, + ref_time=ref_time, + fast_check=fast_check, + min_time_limit=min_time_limit, + gt_time_limit_factor=gt_time_limit_factor, + ) + ret.append((stat, det.tolist())) + return ret diff --git a/evalplus/evalplus/eval/_special_oracle.py b/evalplus/evalplus/eval/_special_oracle.py new file mode 100644 index 0000000000000000000000000000000000000000..12201dc717b226485e30960381437321c53f9af4 --- /dev/null +++ b/evalplus/evalplus/eval/_special_oracle.py @@ -0,0 +1,55 @@ +"""Special oracle handlings for problems where direct differential testing is not applicable.""" + +import math + +# For tasks whose output are not serializable, we only check the output is not None, which +# is also consistent with the original dataset. +MBPP_OUTPUT_NOT_NONE_TASKS = ["check_str", "text_match_three", "text_starta_endb"] + +# Tasks that needs to perform set comparison over two lists +MBPP_OUTPUT_SET_EQ_TASKS = [ + "similar_elements", # Mbpp/2 + "find_char_long", # Mbpp/7 + "common_in_nested_lists", # Mbpp/111 + "extract_singly", # Mbpp/140 + "larg_nnum", # Mbpp/232 + "intersection_array", # Mbpp/249 + "find_dissimilar", # Mbpp/579 + "Diff", # Mbpp/769 +] + + +# oracle for Mbpp/581 +def _surface_Area(base_edge, height): + """ + Recognizes the "height" as the perpendicular distance from the base to the apex of the pyramid + """ + slant_height = math.sqrt((base_edge / 2) ** 2 + height**2) + base_area = base_edge**2 + lateral_area = 4 * (base_edge * slant_height) / 2 + total_surface_area = base_area + lateral_area + return round(total_surface_area) + + +# oracle for Mbpp/558 +def _digit_distance_nums(num1, num2): + """ + Preprocesses the two numbers to have the same length by padding with zeros + """ + str_num1, str_num2 = str(num1), str(num2) + max_length = max(len(str_num1), len(str_num2)) + str_num1, str_num2 = str_num1.zfill(max_length), str_num2.zfill(max_length) + total_difference = 0 + for digit1, digit2 in zip(str_num1, str_num2): + difference = abs(int(digit1) - int(digit2)) + total_difference += difference + return total_difference + + +# oracle for HumaneEval/032 +def _poly(xs: list, x: float): + """ + Evaluates polynomial with coefficients xs at point x. + return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n + """ + return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)]) diff --git a/evalplus/evalplus/eval/utils.py b/evalplus/evalplus/eval/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..4170bcbd13e50155a0af21c8341a8e00e0d256bb --- /dev/null +++ b/evalplus/evalplus/eval/utils.py @@ -0,0 +1,187 @@ +# The MIT License +# +# Copyright (c) OpenAI (https://openai.com) +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +# THE SOFTWARE. + +import contextlib +import faulthandler +import io +import os +import platform +import signal +import tempfile +from typing import Optional + + +@contextlib.contextmanager +def swallow_io(): + stream = WriteOnlyStringIO() + with contextlib.redirect_stdout(stream): + with contextlib.redirect_stderr(stream): + with redirect_stdin(stream): + yield + + +@contextlib.contextmanager +def time_limit(seconds: float): + def signal_handler(signum, frame): + raise TimeoutException("Timed out!") + + signal.setitimer(signal.ITIMER_REAL, seconds) + signal.signal(signal.SIGALRM, signal_handler) + try: + yield + finally: + signal.setitimer(signal.ITIMER_REAL, 0) + + +@contextlib.contextmanager +def create_tempdir(): + with tempfile.TemporaryDirectory() as dirname: + with chdir(dirname): + yield dirname + + +@contextlib.contextmanager +def chdir(root): + if root == ".": + yield + return + cwd = os.getcwd() + os.chdir(root) + try: + yield + except BaseException as exc: + raise exc + finally: + os.chdir(cwd) + + +class TimeoutException(Exception): + pass + + +class WriteOnlyStringIO(io.StringIO): + """StringIO that throws an exception when it's read from""" + + def read(self, *args, **kwargs): + raise IOError + + def readline(self, *args, **kwargs): + raise IOError + + def readlines(self, *args, **kwargs): + raise IOError + + def readable(self, *args, **kwargs): + """Returns True if the IO object can be read.""" + return False + + +class redirect_stdin(contextlib._RedirectStream): # type: ignore + _stream = "stdin" + + +def reliability_guard(maximum_memory_bytes: Optional[int] = None): + """ + This disables various destructive functions and prevents the generated code + from interfering with the test (e.g. fork bomb, killing other processes, + removing filesystem files, etc.) + + WARNING + This function is NOT a security sandbox. Untrusted code, including, model- + generated code, should not be blindly executed outside of one. See the + Codex paper for more information about OpenAI's code sandbox, and proceed + with caution. + """ + + if maximum_memory_bytes is not None: + import resource + + resource.setrlimit( + resource.RLIMIT_AS, (maximum_memory_bytes, maximum_memory_bytes) + ) + resource.setrlimit( + resource.RLIMIT_DATA, (maximum_memory_bytes, maximum_memory_bytes) + ) + if not platform.uname().system == "Darwin": + resource.setrlimit( + resource.RLIMIT_STACK, (maximum_memory_bytes, maximum_memory_bytes) + ) + + faulthandler.disable() + + import builtins + + builtins.exit = None + builtins.quit = None + + import os + + os.environ["OMP_NUM_THREADS"] = "1" + + os.kill = None + os.system = None + os.putenv = None + os.remove = None + os.removedirs = None + os.rmdir = None + os.fchdir = None + os.setuid = None + os.fork = None + os.forkpty = None + os.killpg = None + os.rename = None + os.renames = None + os.truncate = None + os.replace = None + os.unlink = None + os.fchmod = None + os.fchown = None + os.chmod = None + os.chown = None + os.chroot = None + os.fchdir = None + os.lchflags = None + os.lchmod = None + os.lchown = None + os.getcwd = None + os.chdir = None + builtins.open = None + + import shutil + + shutil.rmtree = None + shutil.move = None + shutil.chown = None + + import subprocess + + subprocess.Popen = None # type: ignore + + __builtins__["help"] = None + + import sys + + sys.modules["ipdb"] = None + sys.modules["joblib"] = None + sys.modules["resource"] = None + sys.modules["psutil"] = None + sys.modules["tkinter"] = None diff --git a/evalplus/evalplus/evalperf.py b/evalplus/evalplus/evalperf.py new file mode 100644 index 0000000000000000000000000000000000000000..c6553cfeca9c332f57c9093da1ac38c232ce1ec4 --- /dev/null +++ b/evalplus/evalplus/evalperf.py @@ -0,0 +1,558 @@ +"""Compute the Differential Performance Scores (DPS) and DPS_{norm} of given samples from a model. + +Check our COLM paper for more details: https://www.arxiv.org/abs/2408.06450 + +^Updates from the COLM paper: +* Condition to activate efficiency evaluation for a task: + * Paper: as long as you have at least one correct solution, and we select up to 10 correct solutions for efficiency sampling + * Here: you need to have at least `min_correct` correct solutions, and we evaluate the efficiency of all correct solutions + * Updating rationale: to make the evaluation more statistically robust + +@inproceedings{liu2024evaluating, + title = {Evaluating Language Models for Efficient Code Generation}, + author = {Liu, Jiawei and Xie, Songrun and Wang, Junhao and Wei, Yuxiang and Ding, Yifeng and Zhang, Lingming}, + booktitle = {First Conference on Language Modeling}, + year = {2024}, + url = {https://openreview.net/forum?id=IBCBMeAhmC}, +} +""" + +import json +import multiprocessing +import os +import socket +import time +from collections import defaultdict +from concurrent.futures import ThreadPoolExecutor, as_completed +from contextlib import closing +from datetime import datetime +from statistics import mean +from typing import Dict, List, Optional, Tuple + +import rich +from rich.rule import Rule +from rich.syntax import Syntax +from rich.table import Table + +from evalplus.codegen import run_codegen +from evalplus.config import * +from evalplus.config import PERF_EVAL_TIMEOUT_SECOND +from evalplus.data import ( + get_evalperf_data, + get_human_eval_plus, + get_human_eval_plus_hash, + get_mbpp_plus, + get_mbpp_plus_hash, +) +from evalplus.data.mbpp import mbpp_deserialize_inputs +from evalplus.data.utils import stream_jsonl +from evalplus.eval import PASS, untrusted_check +from evalplus.eval._special_oracle import MBPP_OUTPUT_NOT_NONE_TASKS +from evalplus.evaluate import get_groundtruth +from evalplus.perf.profile import ( + are_profiles_broken, + default_parallelism, + profile, + simple_test_profiler, +) +from evalplus.utils import progress + + +def rule(msg: str): + rich.print(Rule(msg)) + + +def not_none(l: list) -> list: + return [x for x in l if x is not None] + + +def get_free_port(): + with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s: + s.bind(("", 0)) + s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + return s.getsockname()[1] + + +def correctness_check( + solution: str, dataset: str, task: Dict, expected_output: List +) -> Tuple: + assert isinstance(solution, str) + result = untrusted_check( + dataset, + solution, + task["base_input"] + list(task["plus_input"]), + task["entry_point"], + expected_output["base"] + expected_output["plus"], + task["atol"], + expected_output["base_time"] + expected_output["plus_time"], + fast_check=True, + min_time_limit=DEFAULT_MIN_TIME_LIMIT, + gt_time_limit_factor=DEFAULT_GT_TIME_LIMIT_FACTOR, + ) + return result, solution + + +def get_evalplus_data(): + problems_he = get_human_eval_plus(noextreme=True) + dataset_hash = get_human_eval_plus_hash(noextreme=True) + expected_output_human = get_groundtruth(problems_he, dataset_hash, []) + problems_mbpp = get_mbpp_plus(noextreme=True) + dataset_hash = get_mbpp_plus_hash(noextreme=True) + expected_output_mbpp = get_groundtruth( + problems_mbpp, + dataset_hash, + MBPP_OUTPUT_NOT_NONE_TASKS, + ) + problems = {**problems_he, **problems_mbpp} + expected_output = {**expected_output_human, **expected_output_mbpp} + return problems, expected_output + + +def table_print(table_name: str, kv: Dict): + table = Table( + title=table_name, + show_header=True, + header_style="bold", + ) + for col_name in kv: + table.add_column(col_name) + + table.add_row(*[str(v) for v in kv.values()]) + rich.print(table) + + +def correctness_worker(task_id: str, samples: list, ctask: Dict, expected_output: Dict): + assert isinstance( + samples, list + ), f"{task_id}: samples is not a list but {type(samples)}" + + results = [] + + for solution in samples: + result, solution = correctness_check( + solution, task_id.split("/")[0].lower(), ctask, expected_output + ) + results.append( + { + "solution": solution, + "pass": result[0] == PASS, + "profiled": False, + "matching_cluster_idx": None, + "dps": None, + "dps_norm": None, + } + ) + + return task_id, results + + +def perf_worker( + task_id: str, + ptask: Dict, # EvalPerf data + ret_dict: Dict, + lazy_evaluation: bool, + max_profile: int, +): + rich.print(f"{task_id}: Started") + start_time = time.time() + + ######################### Profiling Setup ######################### + n_reference = len(ptask["reference"]) + entry_point = ptask["entry_point"] + pe_input = ( + mbpp_deserialize_inputs(task_id, ptask["pe_input"])[0] + if task_id.startswith("Mbpp/") + else ptask["pe_input"][0] + ) + #################################################################### + + #################################################################### + ############### Lazily profile reference solutions ################# + #################################################################### + cache_ref_num_inst = [None] * n_reference + + def get_avg_ref_profile(idx, check_order=True) -> Optional[Tuple]: + nonlocal cache_ref_num_inst + + assert ( + idx < n_reference - 1 + and cache_ref_num_inst[idx + 1] is not None + or idx == n_reference - 1 + ), f"Calling get_avg_ref_profile({idx}) before get_avg_ref_profile({idx+1}) is called, is not allowed! {n_reference = }" + + if cache_ref_num_inst[idx] is not None: + return cache_ref_num_inst[idx], ptask["scores"][idx] + + evaluation_time = PERF_EVAL_TIMEOUT_SECOND + ref_solution = ptask["reference"][idx] + for _ in range(2): # at most retry twice + profiles = profile( + ref_solution, + entry_point, + [pe_input], + timeout_second_per_test=evaluation_time, + ) + + # Bad thing#1: timeout / failure happens + if are_profiles_broken(profiles): + print(f"{task_id}: [WARNING] Error in ref: {profiles}") + rich.print(Syntax(ref_solution, "python")) + print(f"{task_id}: Retrying w/ +10s timeout...") + evaluation_time += 10 + else: + break + + avg_profile = mean(profiles) + # Bad thing#2: if the current #instruction is faster than that of i+1 + if idx < n_reference - 1 and avg_profile < cache_ref_num_inst[idx + 1]: + print(f"{task_id}: [WARNING] #{idx} ref faster than #{idx + 1}") + print(f"ref {idx}: #inst {avg_profile}\tscore {ptask['scores'][idx]:.1f}") + print( + f"ref {idx+1}: #inst {cache_ref_num_inst[idx+1]}\tscore {ptask['scores'][idx+1]:.1f}" + ) + rich.print(Syntax(ref_solution, "python")) + if check_order: + return None + + cache_ref_num_inst[idx] = avg_profile + ret_dict["ref"][idx]["_num_cpu_instructions"] = avg_profile + return cache_ref_num_inst[idx], ptask["scores"][idx] + + #################################################################### + ############################## END ################################# + #################################################################### + + if not lazy_evaluation: # compute everything ahead of time + for i in range(n_reference - 1, -1, -1): + if get_avg_ref_profile(i) is None: + break + + assert ( + None not in cache_ref_num_inst + ), f"{task_id}: Failed to profile certain reference: {cache_ref_num_inst = }" + + profile_cache = {} + + cur_profiled = 0 + for result in ret_dict["results"]: + if cur_profiled >= max_profile: + rich.print(f"{task_id}: Reached max_profile limit {max_profile}, stopped") + break + if not result["pass"]: + continue + + solution = result["solution"] + + if solution in profile_cache: # reuse cache + sample_profiles = profile_cache[solution] + else: + sample_profiles = profile( + solution, + entry_point, + [pe_input], + timeout_second_per_test=PERF_EVAL_TIMEOUT_SECOND, + ) + profile_cache[solution] = sample_profiles # store cache + + score = 0 + norm_score = 0 + result["matching_cluster_idx"] = -1 # -1 means even slower than the slowest ref + # if the solution results in a timeout, score is 0 + if are_profiles_broken(sample_profiles): + print( + f"{task_id}: Tested solution error'ed out: {sample_profiles} ... regarded as 0 score" + ) + rich.print(Syntax(solution, "python")) + else: + avg_sample_profile = result["_num_cpu_instructions"] = mean(sample_profiles) + # Get profiles from fast to slow (back to front): + for j in range(n_reference - 1, -1, -1): + avg_ref_profile, ref_score = get_avg_ref_profile(j, check_order=False) + if avg_sample_profile <= avg_ref_profile: + result["matching_cluster_idx"] = j + score = ref_score + norm_score = 100 * (j + 1) / n_reference + break + + result["dps"] = score + result["dps_norm"] = norm_score + result["profiled"] = True + cur_profiled += 1 + + ret_dict["dps"] = mean(not_none([r["dps"] for r in ret_dict["results"]])) + ret_dict["dps_norm"] = mean(not_none([r["dps_norm"] for r in ret_dict["results"]])) + ret_dict["n_profiled"] = cur_profiled + + table_print( + f"[bold green]{task_id} Completed[/]", + { + "Duration": f"{time.time() - start_time:.1f}s", + "DPS": f"[green]{ret_dict['dps']:.1f}[/]", + "DPS_norm": f"[green]{ret_dict['dps_norm']:.1f}[/]", + "# Profiled": f"{cur_profiled} / {len(ret_dict['results'])}", + "Pass@1": f"{ret_dict['pass@1']:.1f}%", + }, + ) + + return ret_dict + + +# TODO(@ganler): OPTIMIZATION: reuse the samples from the generations of other datasets +def script( + samples: Optional[str] = None, + min_correct: int = 10, + max_profile: Optional[int] = None, + n_samples: int = 100, + temperature: float = 1.0, + parallel: Optional[int] = None, + lazy_evaluation: bool = True, + i_just_wanna_run: bool = False, + **model_kwargs, +): + max_profile = max_profile or min(min_correct * 2, n_samples) + assert min_correct <= max_profile <= n_samples + simple_test_profiler() # test linux perf setup + + if model_kwargs: + # To suppress the warning of tokenizers + os.environ["TOKENIZERS_PARALLELISM"] = os.environ.get( + "TOKENIZERS_PARALLELISM", "false" + ) + # overwrite parameters + samples = run_codegen( + dataset="evalperf", + n_samples=n_samples, + temperature=temperature, + **model_kwargs, + ) + + assert samples is not None, "Please provide the path to the samples" + + # Data loading + problems, expected_output = get_evalplus_data() + ptasks = get_evalperf_data() + + # Parallelism + max_workers = parallel or max(1, default_parallelism(divisor=4)) + assert 0 < max_workers < multiprocessing.cpu_count(), "Invalid max CPU workers" + + if os.path.isdir(samples): + result_path = os.path.join(samples, "evalperf_results.json") + else: + assert samples.endswith(".jsonl") + result_path = samples.replace(".jsonl", "_evalperf_results.json") + brief_result_path = result_path.replace( + "evalperf_results.json", "evalperf_results.brief.json" + ) + + # resume results + eval_results = {} + if not i_just_wanna_run and os.path.exists(result_path): + resumed_result = json.load(open(result_path, "r")) + if ( + resumed_result["n_samples"] == n_samples + and resumed_result["temperature"] == temperature + and resumed_result["min_correct"] == min_correct + and resumed_result["max_profile"] == max_profile + ): + eval_results = resumed_result["eval"] + for etask in eval_results: + ptasks.pop(etask, None) + + rich.print(f"Resumed {len(eval_results)} results from {result_path}") + + # Load model's samples: task_id -> a list of samples + sample_iter = stream_jsonl(samples) + samples = defaultdict(list) + for task in sample_iter: + samples[task["task_id"].replace("_", "/")].append(task["solution"]) + samples = {k: v[:n_samples] for k, v in samples.items()} + + # assert each task has n_samples + for task_id, s in samples.items(): + assert len(s) == n_samples, f"{task_id} has {len(s)} samples != {n_samples}" + + # Initialize eval_results + for task_id, ptask in ptasks.items(): + eval_results[task_id] = { + "task_id": task_id, + "results": [], + "ref": [ + {"solution": s, "score": r, "_num_cpu_instructions": None} + for s, r in zip(ptask["reference"], ptask["scores"]) + ], + "dps": None, + "dps_norm": None, + "pass@1": None, + "n_profiled": None, + } + + rule("Correctness Checking...") + with progress("Correctness") as p: + with ThreadPoolExecutor(max_workers=max_workers) as executor: + futures = [ + executor.submit( + correctness_worker, + task_id, + samples[task_id], + problems[task_id], + expected_output[task_id], + ) + for task_id in ptasks + ] + + for future in p.track(as_completed(futures), total=len(futures)): + task_id, results = future.result() + eval_results[task_id]["results"] = results + eval_results[task_id]["pass@1"] = ( + 100 * len([r for r in results if r["pass"]]) / n_samples + ) + + rule("EvalPerf Configurations") + if lazy_evaluation: + rich.print( + "[bold yellow]Lazy evaluation is enabled[/]: " + "Fast evaluation without enumeratively checking reference order consistency." + ) + + table_print( + "Configurations", + { + "Max CPU": max_workers, + "#Tasks": len(ptasks), + "#Samples per task": n_samples, + "Min correct": min_correct, + "Max profile": max_profile, + "Result path": result_path, + }, + ) + + rich.print(f"IDs of tasks to evaluate: {list(ptasks.keys())}") + rule("Evaluation Start") + undone = [] + with progress("Profiling") as p: + with ThreadPoolExecutor(max_workers=max_workers) as executor: + futures = [] + for task_id, ptask in ptasks.items(): + n_pass = len([r for r in eval_results[task_id]["results"] if r["pass"]]) + if n_pass < min_correct: + rich.print( + f"{task_id}: [bold yellow]{n_pass} < {min_correct} correct solutions, skipped[/]" + ) + continue + futures.append( + executor.submit( + perf_worker, + task_id, + ptask, + eval_results[task_id], + lazy_evaluation, + max_profile, + ) + ) + undone.append(task_id) + rich.print(f"{task_id}: Queued") + + for future in p.track(as_completed(futures), total=len(futures)): + result = future.result() + eval_results[result["task_id"]] = result + undone.remove(result["task_id"]) + if undone and len(undone) < max_workers: + print(f"Still running: {undone}") + + rule("Evaluation Summary") + dps = mean(not_none([res["dps"] for res in eval_results.values()])) + dps_norm = mean(not_none([res["dps_norm"] for res in eval_results.values()])) + pass_1 = mean(not_none([res["pass@1"] for res in eval_results.values()])) + n_evalperfed = len(not_none([res["dps"] for res in eval_results.values()])) + + table_print( + "EvalPerf Summary", + { + "DPS": f"{dps:.1f}", + "DPS_norm": f"{dps_norm:.1f}", + "Pass@1": f"{pass_1:.1f}%", + "#EvalPerf-ed tasks": f"{n_evalperfed} / {len(eval_results)}", + "min_correct": min_correct, + "n_samples": n_samples, + "temperature": temperature, + }, + ) + + # Save full results + with open(result_path, "w") as f: + f.write( + json.dumps( + { + "date": datetime.now().strftime("%Y-%m-%d %H:%M"), + "n_samples": n_samples, + "temperature": temperature, + "min_correct": min_correct, + "max_profile": max_profile, + "eval": eval_results, + } + ) + ) + rich.print(f"Full results have been saved to {result_path}") + + # Save brief results + with open(brief_result_path, "w") as f: + f.write( + json.dumps( + { + "date": datetime.now().strftime("%Y-%m-%d %H:%M"), + "config": { + "n_samples": n_samples, + "temperature": temperature, + "min_correct": min_correct, + "max_profile": max_profile, + }, + "summary": { + "dps": dps, + "dps_norm": dps_norm, + "pass@1": pass_1, + }, + "eval": { + task_id: { + "dps": res["dps"], + "dps_norm": res["dps_norm"], + "pass@1": res["pass@1"], + "profiled": [ + { + "solution": r["solution"], + "matching_cluster_idx": r["matching_cluster_idx"], + } + for r in res["results"] + if r["profiled"] + ], + } + for task_id, res in eval_results.items() + }, + } + ) + ) + + rich.print(f"Brief results have been saved to {brief_result_path}") + + rule("To visualize win-rates and pair-wise DPS, run:") + rich.print( + Syntax( + f"""\ +git clone git@github.com:evalplus/evalplus.github.io.git +git --git-dir=evalplus.github.io/.git pull +cp {brief_result_path} evalplus.github.io/results/evalperf +python evalplus.github.io/results/evalperf/stats.py +python -m http.server -d evalplus.github.io {get_free_port()}""", + "bash", + ) + ) + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/evalplus/evaluate.py b/evalplus/evalplus/evaluate.py new file mode 100644 index 0000000000000000000000000000000000000000..bd675572d626df84611f71d00a2ca9e96a0e2bc8 --- /dev/null +++ b/evalplus/evalplus/evaluate.py @@ -0,0 +1,375 @@ +import json +import multiprocessing +import os +import pickle +import threading +import time +from collections import Counter, defaultdict +from concurrent.futures import ProcessPoolExecutor, as_completed +from datetime import datetime +from typing import Any, Dict, List, Optional, Tuple +from warnings import warn + +import numpy as np +from termcolor import cprint +from tqdm import tqdm + +from evalplus.codegen import run_codegen +from evalplus.config import * +from evalplus.data import ( + get_human_eval_plus, + get_human_eval_plus_hash, + get_mbpp_plus, + get_mbpp_plus_hash, + load_solutions, +) +from evalplus.data.mbpp import mbpp_serialize_inputs +from evalplus.data.utils import CACHE_DIR +from evalplus.eval import ( + PASS, + compatible_eval_result, + estimate_pass_at_k, + untrusted_check, +) +from evalplus.eval._special_oracle import MBPP_OUTPUT_NOT_NONE_TASKS +from evalplus.gen.util import trusted_exec + +# 1st item: the status +# 2nd item (optional): the detailed pass/fail boolean for each input +Result = Tuple[str, List[bool]] + + +def get_groundtruth(problems, hashcode, tasks_only_output_not_none): + cache_file = os.path.join(CACHE_DIR, f"{hashcode}.pkl") + if os.path.exists(cache_file): + print(f"Load from ground-truth from {cache_file}") + with open(cache_file, "rb") as f: + return pickle.load(f) + + os.makedirs(CACHE_DIR, exist_ok=True) + print("Computing expected output...") + tbegin = time.time() + expected_output = {} + for task_id, problem in problems.items(): + oracle = {} + oracle["base"], oracle["base_time"] = trusted_exec( + problem["prompt"] + problem["canonical_solution"], + problem["base_input"], + problem["entry_point"], + record_time=True, + output_not_none=problem["entry_point"] in tasks_only_output_not_none, + ) + + oracle["plus"], oracle["plus_time"] = trusted_exec( + problem["prompt"] + problem["canonical_solution"], + problem["plus_input"], + problem["entry_point"], + record_time=True, + output_not_none=problem["entry_point"] in tasks_only_output_not_none, + ) + expected_output[task_id] = oracle + print(f"Expected outputs computed in {time.time() - tbegin:.2f}s") + + with open(cache_file, "wb") as f: + pickle.dump(expected_output, f) + + return expected_output + + +def check_correctness( + dataset: str, + completion_id: int, + problem: Dict[str, Any], + solution: str, + expected_output: Dict[str, List], + base_only=False, + fast_check=False, + identifier=None, + min_time_limit: float = DEFAULT_MIN_TIME_LIMIT, + gt_time_limit_factor: float = DEFAULT_GT_TIME_LIMIT_FACTOR, +) -> Dict[str, Result]: # {...}, "base" | "plus" -> (status, details) + ret = { + "completion_id": completion_id, + "task_id": problem["task_id"], + "_identifier": identifier, + "solution": solution, + } + ret["base"] = untrusted_check( + dataset, + solution, + problem["base_input"], + problem["entry_point"], + expected=expected_output["base"], + atol=problem["atol"], + ref_time=expected_output["base_time"], + fast_check=fast_check, + min_time_limit=min_time_limit, + gt_time_limit_factor=gt_time_limit_factor, + ) + + if not base_only: + ret["plus"] = untrusted_check( + dataset, + solution, + problem["plus_input"], + problem["entry_point"], + expected=expected_output["plus"], + atol=problem["atol"], + ref_time=expected_output["plus_time"], + fast_check=fast_check, + min_time_limit=min_time_limit, + gt_time_limit_factor=gt_time_limit_factor, + ) + + return ret + + +def evaluate( + dataset: str, + samples: Optional[str] = None, + base_only: bool = False, + parallel: Optional[int] = None, + i_just_wanna_run: bool = False, + test_details: bool = False, + min_time_limit: float = DEFAULT_MIN_TIME_LIMIT, + gt_time_limit_factor: float = DEFAULT_GT_TIME_LIMIT_FACTOR, + mini: bool = False, + noextreme: bool = False, + version: str = "default", + output_file: Optional[str] = None, + gguf_file: Optional[str] = None, + **model_kwargs, +): + if model_kwargs: + # To suppress the warning of tokenizers + os.environ["TOKENIZERS_PARALLELISM"] = os.environ.get( + "TOKENIZERS_PARALLELISM", "false" + ) + samples = run_codegen( + dataset=dataset, + gguf_file=gguf_file, + **model_kwargs, + ) + assert samples is not None, "No samples provided" + + n_workers = parallel or max(1, multiprocessing.cpu_count() // 2) + + if os.path.isdir(samples): + result_path = os.path.join(samples, "eval_results.json") + else: + assert samples.endswith(".jsonl") + # legacy compatibility + if os.path.exists(samples.replace(".jsonl", "_eval_results.json")): + result_path = samples.replace(".jsonl", "_eval_results.json") + else: + result_path = samples.replace(".jsonl", ".eval_results.json") + + if output_file is not None: + result_path = output_file + + if os.path.isfile(result_path) and not i_just_wanna_run: + print(f"Load from previous results from {result_path}") + with open(result_path, "r") as f: + results = json.load(f) + + results = compatible_eval_result(results) + else: + if dataset == "humaneval": + problems = get_human_eval_plus( + mini=mini, noextreme=noextreme, version=version + ) + dataset_hash = get_human_eval_plus_hash( + mini=mini, noextreme=noextreme, version=version + ) + expected_output = get_groundtruth(problems, dataset_hash, []) + elif dataset == "mbpp": + problems = get_mbpp_plus(mini=mini, noextreme=noextreme, version=version) + dataset_hash = get_mbpp_plus_hash( + mini=mini, noextreme=noextreme, version=version + ) + expected_output = get_groundtruth( + problems, + dataset_hash, + MBPP_OUTPUT_NOT_NONE_TASKS, + ) + + results = { + "date": datetime.now().strftime("%Y-%m-%d %H:%M"), + "hash": dataset_hash, + "eval": {}, + } + + with ProcessPoolExecutor(max_workers=n_workers) as executor: + futures = [] + completion_id = Counter() + n_samples = 0 + eval_results = defaultdict(list) # task_id -> + remainings = set() + + print("Reading samples...") + for sample in tqdm(load_solutions(samples)): + task_id = sample["task_id"] + if task_id not in problems: + warn( + f"Task {task_id} is found in the samples but not found in the dataset" + ) + continue + solution = ( + sample["solution"] + if "solution" in sample + else problems[task_id]["prompt"] + sample["completion"] + ) + remainings.add(sample["_identifier"]) + args = ( + dataset, + completion_id[task_id], + problems[task_id], + solution, + expected_output[task_id], + base_only, + not test_details, # fast_check + sample["_identifier"], + min_time_limit, + gt_time_limit_factor, + ) + futures.append(executor.submit(check_correctness, *args)) + completion_id[task_id] += 1 + n_samples += 1 + + assert n_samples == len(remainings), "Missing problems in unfinished" + assert len(completion_id) == len(problems), "Missing problems in samples" + + def stucking_checker(): + while remainings: + last_size = len(remainings) + time.sleep(20) + if last_size != len(remainings) or len(remainings) == 0: + continue + # Potential stucking + warn("No samples had finished testing in the last 20s") + warn(f"{len(remainings)} samples to be tested: {remainings}") + + threading.Thread(target=stucking_checker).start() + + for future in tqdm(as_completed(futures), total=n_samples): + result = future.result() + remainings.remove(result["_identifier"]) + eval_results[result["task_id"]].append(result) + + # sort the results for each problem by completion_id + for task_id, task_results in eval_results.items(): + task_results.sort(key=lambda x: x["completion_id"]) + results["eval"][task_id] = [] + for res in task_results: + + def get_failed_tests(stat, details, inputs) -> List[Any]: + if stat == PASS or not details: + return [] + + if test_details: + return [ + inputs[i] for i in range(len(details)) if not details[i] + ] + + # else => simply return the only and the last fail test + return [inputs[len(details) - 1]] + + base_stat, base_details = res["base"] + base_fail_tests = get_failed_tests( + base_stat, base_details, problems[task_id]["base_input"] + ) + + # initialize plus tests + plus_stat = None + plus_fail_tests = [] + + # with plus tests + if not base_only: + plus_stat, plus_details = res["plus"] + plus_fail_tests = get_failed_tests( + plus_stat, plus_details, problems[task_id]["plus_input"] + ) + + if dataset == "mbpp": + base_fail_tests = mbpp_serialize_inputs(task_id, base_fail_tests) + plus_fail_tests = mbpp_serialize_inputs(task_id, plus_fail_tests) + + results["eval"][task_id].append( + { + "task_id": task_id, + "solution": res["solution"], + "base_status": base_stat, + "plus_status": plus_stat, + "base_fail_tests": base_fail_tests, + "plus_fail_tests": plus_fail_tests, + } + ) + + # Calculate pass@k. + total = np.array([len(r) for r in results["eval"].values()]) + base_correct = [] + new_correct = [] + + for res in results["eval"].values(): + bc = sum([r["base_status"] == PASS for r in res]) + base_correct.append(bc) + if not base_only: + new_correct.append( + sum( + [ + res[i]["base_status"] == res[i]["plus_status"] == PASS + for i in range(len(res)) + ] + ) + ) + base_correct = np.array(base_correct) + + pass_at_k = { + f"pass@{k}": estimate_pass_at_k(total, base_correct, k).mean() + for k in [1, 10, 100] + if total.min() >= k + } + cprint(f"{dataset} (base tests)", "red") + for k, v in pass_at_k.items(): + cprint(f"{k}:\t{v:.3f}", "red") + results["pass_at_k"] = {"base": pass_at_k} + + if new_correct: + cprint(f"{dataset}+ (base + extra tests)", "green") + pass_at_k = { + f"pass@{k}": estimate_pass_at_k(total, np.array(new_correct), k).mean() + for k in [1, 10, 100] + if (total >= k).all() + } + for k, v in pass_at_k.items(): + cprint(f"{k}:\t{v:.3f}", "green") + results["pass_at_k"]["plus"] = pass_at_k + + # save results + if os.path.isfile(result_path) and i_just_wanna_run: + decision = "" + while decision.lower() not in ["y", "n"]: + print(f"{result_path} already exists. Press [Y/N] to overwrite or exit...") + decision = input() + + if decision.lower() == "y": + # mv the file to a backup + new_path = result_path + ".bak" + while os.path.isfile(new_path): + new_path += ".bak" + os.rename(result_path, new_path) + print(f"Backup {result_path} to {new_path}") + + if not os.path.isfile(result_path): + with open(result_path, "w") as f: + json.dump(results, f) + + +def main(): + from fire import Fire + + Fire(evaluate) + + +if __name__ == "__main__": + main() diff --git a/evalplus/evalplus/gen/__init__.py b/evalplus/evalplus/gen/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..765cc2c5cd334fc52625a708e495dbc54f43822a --- /dev/null +++ b/evalplus/evalplus/gen/__init__.py @@ -0,0 +1,21 @@ +import copy +from typing import Any, List + + +class BaseGen(object): + def __init__(self, inputs: List[Any], entry_point: str, contract: str): + """Initializing a input mutator. + + Args: + inputs (List[Any]): The set of initial inputs (i.e., seeds) + entry_point (str): The function name to invoke with the input + contract (str): The contract to verify input validity + """ + self.contract = contract + self.entry_point = entry_point + self.seed_pool: List[Any] = copy.deepcopy(inputs) + self.new_inputs = [] + self.seed_hash = set([hash(str(x)) for x in self.seed_pool]) + + def generate(self, num: int) -> List[Any]: + raise NotImplementedError diff --git a/evalplus/evalplus/gen/chatgpt_gen.py b/evalplus/evalplus/gen/chatgpt_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..0b4118eb940669f8a632a31d663c90e9c87e6950 --- /dev/null +++ b/evalplus/evalplus/gen/chatgpt_gen.py @@ -0,0 +1,78 @@ +import ast +import random +from typing import List + +import openai +from openai.types.chat import ChatCompletion + +from evalplus.data.utils import to_raw +from evalplus.gen import BaseGen +from evalplus.gen.util import trusted_check_exec +from evalplus.gen.util.openai_request import make_auto_request + + +class ChatGPTGen(BaseGen): + def __init__(self, inputs: List, signature: str, contract_code: str, gd_code: str): + super().__init__(inputs, signature, contract_code) + self.gd_code = gd_code + self.prompt_messages = [ + "Please generate complex inputs to test the function.", + "Please generate corner case inputs to test the function.", + "Please generate difficult inputs to test the function.", + ] + self.iteration = 20 + self.client = openai.Client() + + def seed_selection(self) -> List: + # get 5 for now. + return random.sample(self.seed_pool, k=min(len(self.seed_pool), 5)) + + @staticmethod + def _parse_ret(ret: ChatCompletion) -> List: + rets = [] + output = ret.choices[0].message.content + if "```" in output: + for x in output.split("```")[1].splitlines(): + if x.strip() == "": + continue + try: + # remove comments + input = ast.literal_eval(f"[{x.split('#')[0].strip()}]") + except: # something wrong. + continue + rets.append(input) + return rets + + def chatgpt_generate(self, selected_inputs: List) -> List: + # append the groundtruth function + # actually it can be any function (maybe we can generate inputs for each llm generated code individually) + message = f"Here is a function that we want to test:\n```\n{self.gd_code}\n```" + str_inputs = "\n".join( + [ + ", ".join([f"'{to_raw(i)}'" if type(i) == str else str(i) for i in x]) + for x in selected_inputs + ] + ) + message += f"\nThese are some example inputs used to test the function:\n```\n{str_inputs}\n```" + message += f"\n{random.choice(self.prompt_messages)}" + ret = make_auto_request( + self.client, + message=message, + model="gpt-3.5-turbo", + max_tokens=256, + response_format={"type": "text"}, + ) + return self._parse_ret(ret) + + def generate(self, num: int): + while len(self.new_inputs) < num and self.iteration >= 0: + seeds = self.seed_selection() + new_inputs = self.chatgpt_generate(seeds) + for new_input in new_inputs: + if hash(str(new_input)) not in self.seed_hash: + if trusted_check_exec(self.contract, [new_input], self.entry_point): + self.seed_pool.append(new_input) + self.seed_hash.add(hash(str(new_input))) + self.new_inputs.append(new_input) + self.iteration -= 1 + return self.new_inputs[:num] diff --git a/evalplus/evalplus/gen/mut_gen.py b/evalplus/evalplus/gen/mut_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..93eb5c512d52a575e5e19a446a5fde60e8cb6317 --- /dev/null +++ b/evalplus/evalplus/gen/mut_gen.py @@ -0,0 +1,30 @@ +import random +from abc import abstractmethod +from typing import Any, List + +from evalplus.gen import BaseGen +from evalplus.gen.util import trusted_check_exec + + +class MutateGen(BaseGen): + def __init__(self, inputs: List, signature: str, contract_code: str): + super().__init__(inputs, signature, contract_code) + + def seed_selection(self): + # random for now. + return random.choice(self.seed_pool) + + @abstractmethod + def mutate(self, seed_input: Any) -> Any: + pass + + def generate(self, num: int) -> List[Any]: + while len(self.new_inputs) < num: + seed = self.seed_selection() + new_input = self.mutate(seed) + if hash(str(new_input)) not in self.seed_hash: + if trusted_check_exec(self.contract, [new_input], self.entry_point): + self.seed_pool.append(new_input) + self.seed_hash.add(hash(str(new_input))) + self.new_inputs.append(new_input) + return self.new_inputs[:num] diff --git a/evalplus/evalplus/gen/type_mut.py b/evalplus/evalplus/gen/type_mut.py new file mode 100644 index 0000000000000000000000000000000000000000..f926dda8463e98f98ff14c3d9a305f0138c28022 --- /dev/null +++ b/evalplus/evalplus/gen/type_mut.py @@ -0,0 +1,340 @@ +import copy +import random +import string +import time +from typing import Any, Dict, List, Set, Tuple + +from multipledispatch import dispatch + +from evalplus.gen.mut_gen import MutateGen +from evalplus.gen.util import trusted_check_exec + +MAX_MULTI_STEP_SIZE = 5 +MUTATE_BOUND_SIZE = 8 + +NoneType = type(None) + + +# decorator to use ingredients +class use_ingredient: + def __init__(self, prob: float): + assert 0 <= prob <= 0.95 + self.prob = prob + + def __call__(obj, func): + def wrapper(self, seed_input): + if random.random() < obj.prob and self.ingredients[type(seed_input)]: + return random.choice(list(self.ingredients[type(seed_input)])) + else: + return func(self, seed_input) + + return wrapper + + +class TypedMutGen(MutateGen): + def __init__(self, inputs: List, signature: str, contract_code: str): + super().__init__(inputs, signature, contract_code) + self.timeout = 60 * 60 # 1 hour + self.ingredients = { + int: set(), + float: set(), + str: set(), + complex: set(), + } + for x in inputs: + self.fetch_ingredient(x) + + def seed_selection(self): + # random for now. + return random.choice(self.seed_pool) + + def mutate(self, seed_input: Any) -> List: + new_input = copy.deepcopy(seed_input) + + patience = MUTATE_BOUND_SIZE + while new_input == seed_input or patience == 0: + new_input = self.typed_mutate(new_input) + patience -= 1 + + return new_input + + ######################### + # Type-aware generation # + ######################### + @dispatch(NoneType) + def typed_gen(self, _): + return None + + @dispatch(int) + def typed_gen(self, _): + @use_ingredient(0.5) + def _impl(*_): + return random.randint(-100, 100) + + return _impl(self, _) + + @dispatch(float) + def typed_gen(self, _): + @use_ingredient(0.5) + def _impl(*_): + return random.uniform(-100, 100) + + return _impl(self, _) + + @dispatch(bool) + def typed_gen(self, _): + return random.choice([True, False]) + + @dispatch(str) + def typed_gen(self, _): + @use_ingredient(0.5) + def _impl(*_): + return "".join( + random.choice(string.ascii_letters) + for _ in range(random.randint(0, 10)) + ) + + return _impl(self, _) + + def any_gen(self): + # weighted choose + choice = random.choices( + [ + True, + 1, + 1.1, + "str", + [], # list + tuple(), # tuple + dict(), # dict + None, # None + ], + [0.2, 0.2, 0.2, 0.2, 0.05, 0.05, 0.05, 0.05], + )[0] + return self.typed_gen(choice) + + @dispatch(list) + def typed_gen(self, _): + ret = [] + size = random.randint(0, 10) + if random.randint(0, 4) == 0: # heterogeneous + for _ in range(size): + ret.append(self.any_gen()) + else: # homogeneous + t = random.choice([bool(), int(), float(), str()]) + for _ in range(size): + ret.append(self.typed_gen(t)) + return ret + + @dispatch(tuple) + def typed_gen(self, _): + return tuple(self.typed_gen([])) + + # NOTE: disable set for now as Steven is too weak in Python (/s) + # @dispatch(set) + # def typed_gen(self, _): + # return set(self.typed_gen([])) + + @dispatch(dict) + def typed_gen(self, _): + ret = dict() + values = self.typed_gen([]) + # NOTE: Assumption: nobody uses dict with heterogeneous keys + # NOTE: Assumption: nobody uses dict with boolean keys + key_type = random.choice([int(), float(), str()]) + for v in values: + ret[self.typed_gen(key_type)] = self.typed_gen(v) + return ret + + ######################## + # Type-aware mutation # + ######################## + # Simple primitives + @dispatch(int) + def typed_mutate(self, seed_input: int): + @use_ingredient(0.5) + def _impl(_, seed_input: int): + return seed_input + random.randint(-1, 1) + + return _impl(self, seed_input) + + @dispatch(float) + def typed_mutate(self, seed_input: float): + @use_ingredient(0.5) + def _impl(_, seed_input: float): + if random.randint(0, 1): + return seed_input + random.uniform(-1, 1) + return seed_input * (1 + random.uniform(-0.5, 0.5)) + + return _impl(self, seed_input) + + @dispatch(complex) + def typed_mutate(self, seed_input: complex): + @use_ingredient(0.5) + def _impl(_, seed_input: complex): + imag = seed_input.imag + random.uniform(-1, 1) + return complex(0, imag) + + return _impl(self, seed_input) + + @dispatch(bool) + def typed_mutate(self, seed_input: bool): + return random.choice([True, False]) + + @dispatch(NoneType) + def typed_mutate(self, seed_input: NoneType): + return None + + # List-like + @dispatch(list) + def typed_mutate(self, seed_input: List): + if len(seed_input) == 0: + return self.typed_gen([]) + + choice = random.randint(0, 3) + idx = random.randint(0, len(seed_input) - 1) + if choice == 0: # remove one element + seed_input.pop(random.randint(0, len(seed_input) - 1)) + elif choice == 1 and len(seed_input) > 0: # add one mutated element + seed_input.insert( + random.randint(0, len(seed_input) - 1), + self.typed_mutate(seed_input[idx]), + ) + elif choice == 2 and len(seed_input) > 0: # repeat one element + seed_input.append(seed_input[idx]) + else: # inplace element change + seed_input[idx] = self.typed_mutate(seed_input[idx]) + return seed_input + + @dispatch(tuple) + def typed_mutate(self, seed_input: Tuple): + return tuple(self.typed_mutate(list(seed_input))) + + # String + @dispatch(str) + def typed_mutate(self, seed_input: str): + @use_ingredient(0.4) + def _impl(_, seed_input: str): + choice = random.randint(0, 2) if seed_input else 0 + if choice == 0 and self.ingredients[str]: # insert an ingredient + idx = random.randint(0, len(seed_input)) + return ( + seed_input[:idx] + + random.choice(list(self.ingredients[str])) + + seed_input[idx:] + ) + # other choices assume len(seed_input) > 0 + elif choice == 1: # replace a substring with empty or mutated string + start = random.randint(0, len(seed_input) - 1) + end = random.randint(start + 1, len(seed_input)) + mid = ( + "" + if random.randint(0, 1) + else self.typed_mutate(seed_input[start:end]) + ) + return seed_input[:start] + mid + seed_input[end:] + elif choice == 2: # repeat one element + idx = random.randint(0, len(seed_input) - 1) + return ( + seed_input[:idx] + + seed_input[random.randint(0, len(seed_input) - 1)] + + seed_input[idx:] + ) + + # random char + return self.typed_gen(str()) + + return _impl(self, seed_input) + + # Set + @dispatch(set) + def typed_mutate(self, seed_input: Set): + return set(self.typed_mutate(list(seed_input))) + + # Dict + @dispatch(dict) + def typed_mutate(self, seed_input: Dict): + if len(seed_input) == 0: + return self.typed_gen(dict()) + + choice = random.randint(0, 2) + if choice == 0: # remove a kv + del seed_input[random.choice(list(seed_input.keys()))] + elif choice == 1: # add a kv + k = self.typed_mutate(random.choice(list(seed_input.keys()))) + v = self.typed_mutate(random.choice(list(seed_input.values()))) + seed_input[k] = v + elif choice == 2: # inplace value change + k0, v0 = random.choice(list(seed_input.items())) + seed_input[k0] = self.typed_mutate(v0) + return seed_input + + ############################################ + # Fetching ingredients to self.ingredients # + ############################################ + def fetch_ingredient(self, seed_input): + self.typed_fetch(seed_input) + + @dispatch(int) + def typed_fetch(self, seed_input: int): + self.ingredients[int].add(seed_input) + + @dispatch(float) + def typed_fetch(self, seed_input: float): + self.ingredients[float].add(seed_input) + + @dispatch(complex) + def typed_fetch(self, seed_input: complex): + self.ingredients[complex].add(seed_input) + + @dispatch(str) + def typed_fetch(self, seed_input: str): + self.ingredients[str].add(seed_input) + for token in seed_input.strip().split(): + self.ingredients[str].add(token) + + # List-like + def _fetch_list_like(self, seed_input): + for x in seed_input: + if self.typed_fetch.dispatch(type(x)): + self.fetch_ingredient(x) + + @dispatch(list) + def typed_fetch(self, seed_input: List): + self._fetch_list_like(seed_input) + + @dispatch(tuple) + def typed_fetch(self, seed_input: Tuple): + self._fetch_list_like(seed_input) + + # NOTE: disable set for now as Steven is too weak in Python (/s) + # @dispatch(set) + # def typed_fetch(self, seed_input: Set): + # self._fetch_list_like(seed_input) + + # Dict + @dispatch(dict) + def typed_fetch(self, seed_input: Dict): + self._fetch_list_like(seed_input.keys()) + self._fetch_list_like(seed_input.values()) + + def generate(self, num: int): + start = time.time() + num_generated = 1 + while len(self.new_inputs) < num and time.time() - start < self.timeout: + if num_generated % 1000 == 0: + print( + f"generated {num_generated} already with {len(self.new_inputs)} new inputs ... " + ) + new_input = self.seed_selection() + # Multi-step instead of single-step + for _ in range(random.randint(1, MAX_MULTI_STEP_SIZE)): + new_input = self.mutate(new_input) + num_generated += 1 + if hash(str(new_input)) not in self.seed_hash: + if trusted_check_exec(self.contract, [new_input], self.entry_point): + self.typed_fetch(new_input) + self.seed_pool.append(new_input) + self.new_inputs.append(new_input) + self.seed_hash.add(hash(str(new_input))) + return self.new_inputs[:num] diff --git a/evalplus/evalplus/gen/util/__init__.py b/evalplus/evalplus/gen/util/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..2fe4874020c46a6994e974c63e4f6397c5ebb25f --- /dev/null +++ b/evalplus/evalplus/gen/util/__init__.py @@ -0,0 +1,40 @@ +import time +from copy import deepcopy + +from evalplus.eval.utils import time_limit + + +def trusted_exec(code, inputs, entry_point, record_time=False, output_not_none=False): + """Execute trusted code in place.""" + exec_globals = {} + exec(code, exec_globals) + fn = exec_globals[entry_point] + + rtime = [] + ret = [] + for inp in inputs: + inp = deepcopy(inp) + if record_time: + start = time.time() + ret.append(fn(*inp)) + rtime.append(time.time() - start) + else: + ret.append(fn(*inp)) + + if output_not_none: + ret = [i is not None for i in ret] + + if record_time: + return ret, rtime + else: + return ret + + +def trusted_check_exec(code, inputs, entry_point): + """Check trusted_exec success.""" + try: + with time_limit(seconds=1.0): + trusted_exec(code, inputs, entry_point) + except Exception: + return False + return True diff --git a/evalplus/evalplus/gen/util/anthropic_request.py b/evalplus/evalplus/gen/util/anthropic_request.py new file mode 100644 index 0000000000000000000000000000000000000000..dd7b7821d0c12ca89a63e879ebb96202d0c1560d --- /dev/null +++ b/evalplus/evalplus/gen/util/anthropic_request.py @@ -0,0 +1,47 @@ +import signal +import time + +import anthropic +from anthropic.types import Message + + +def handler(signum, frame): + # swallow signum and frame + raise Exception("end of time") + + +def make_auto_request(client: anthropic.Client, *args, **kwargs) -> Message: + ret = None + while ret is None: + try: + signal.signal(signal.SIGALRM, handler) + signal.alarm(100) + ret = client.messages.create(*args, top_p=0.95, **kwargs) + signal.alarm(0) + except anthropic.RateLimitError: + print("Rate limit exceeded. Waiting...") + signal.alarm(0) + time.sleep(5) + except anthropic.APIConnectionError: + print("API connection error. Waiting...") + signal.alarm(0) + time.sleep(5) + except anthropic.InternalServerError: + print("Internal server error. Waiting...") + signal.alarm(0) + time.sleep(5) + except anthropic.APIError as e: + print("Unknown API error") + print(e) + if ( + e.body["error"]["message"] + == "Output blocked by content filtering policy" + ): + raise Exception("Content filtering policy blocked output") + signal.alarm(0) + except Exception as e: + print("Unknown error. Waiting...") + print(e) + signal.alarm(0) + time.sleep(1) + return ret diff --git a/evalplus/evalplus/gen/util/openai_request.py b/evalplus/evalplus/gen/util/openai_request.py new file mode 100644 index 0000000000000000000000000000000000000000..a974e1f0b619b04a3f26d99ac5d131cf0210f5e0 --- /dev/null +++ b/evalplus/evalplus/gen/util/openai_request.py @@ -0,0 +1,51 @@ +import time + +import openai +from openai.types.chat import ChatCompletion + + +def make_request( + client: openai.Client, + message: str, + model: str, + max_tokens: int = 512, + temperature: float = 1, + n: int = 1, + **kwargs +) -> ChatCompletion: + kwargs["top_p"] = 0.95 + kwargs["max_completion_tokens"] = max_tokens + if model.startswith("o1-"): # pop top-p and max_completion_tokens + kwargs.pop("top_p") + kwargs.pop("max_completion_tokens") + temperature = 1.0 # o1 models do not support temperature + + return client.chat.completions.create( + model=model, + messages=[ + {"role": "user", "content": message}, + ], + temperature=temperature, + n=n, + **kwargs + ) + + +def make_auto_request(*args, **kwargs) -> ChatCompletion: + ret = None + while ret is None: + try: + ret = make_request(*args, **kwargs) + except openai.RateLimitError: + print("Rate limit exceeded. Waiting...") + time.sleep(5) + except openai.APIConnectionError: + print("API connection error. Waiting...") + time.sleep(5) + except openai.APIError as e: + print(e) + except Exception as e: + print("Unknown error. Waiting...") + print(e) + time.sleep(1) + return ret diff --git a/evalplus/evalplus/inputgen.py b/evalplus/evalplus/inputgen.py new file mode 100644 index 0000000000000000000000000000000000000000..aaa4dddf40071d90c6b10095b62900fb85161148 --- /dev/null +++ b/evalplus/evalplus/inputgen.py @@ -0,0 +1,108 @@ +"""Generate a .jsonl file where each line is a json object +representing a programming problem with a task ID ("task_id") +and a list of enhanced inputs ("inputs") for that task. +""" + +import argparse +import json +import os + +from evalplus.data.mbpp import mbpp_serialize_inputs +from evalplus.gen.chatgpt_gen import ChatGPTGen +from evalplus.gen.type_mut import TypedMutGen + + +class SetEncoder(json.JSONEncoder): + def default(self, obj): + if isinstance(obj, set): + return list(obj) + return json.JSONEncoder.default(self, obj) + + +# Used for MBPP as MBPP's prompt is not a formal function signature +def insert_contract_into_code(entry_point, code, contract): + lines = code.split("\n") + index = lines.index( + next(line for line in lines if line.startswith(f"def {entry_point}")) + ) + lines.insert(index + 1, contract) + return "\n".join(lines) + + +def input_generation(args, problems): + with open(args.output, "w") as file: + for problem in problems.values(): + new_input = {} + task_id = problem["task_id"] + print(f"generating inputs for {task_id} ...") + # by default we do not include constraints in the prompt (code) + code = problem["prompt"] + problem["canonical_solution"] + # but we use c_code to include contract which checks input validity at execution time + if args.dataset == "humaneval": + c_code = ( + problem["prompt"] + + problem["contract"] + + problem["canonical_solution"] + ) + elif args.dataset == "mbpp": + c_code = problem["prompt"] + insert_contract_into_code( + entry_point=problem["entry_point"], + code=problem["canonical_solution"], + contract=problem["contract"], + ) + + # first generate chatgpt + input_gen = ChatGPTGen( + problem["base_input"], problem["entry_point"], c_code, code + ).generate(args.chatgpt_len) + # generate mutation next + + if input_gen is None or len(input_gen) == 0: + new_input["task_id"] = task_id + new_input["inputs"] = {} + file.write(json.dumps(new_input, cls=SetEncoder) + "\n") + continue + + input_gen.extend( + TypedMutGen(input_gen, problem["entry_point"], c_code).generate( + args.mut_len + ) + ) + print(f"generated {len(input_gen)} inputs") + new_input["task_id"] = task_id + if args.dataset == "mbpp": + new_input["inputs"] = mbpp_serialize_inputs(task_id, input_gen) + new_input["inputs"] = input_gen + file.write(json.dumps(new_input, cls=SetEncoder) + "\n") + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument( + "--dataset", required=True, type=str, choices=["humaneval", "mbpp"] + ) + parser.add_argument("--chatgpt_len", required=True, type=int) + parser.add_argument("--mut_len", required=True, type=int) + parser.add_argument("--output", type=str, help="Output .jsonl path") + args = parser.parse_args() + + problems = None + if args.dataset == "humaneval": + from evalplus.data import get_human_eval_plus + + # Allow it to be incomplete + problems = get_human_eval_plus(err_incomplete=False) + args.output = args.output or "HumanEvalPlusInputs.jsonl" + + if args.dataset == "mbpp": + from evalplus.data import get_mbpp_plus + + problems = get_mbpp_plus(err_incomplete=False) + args.output = args.output or "MbppPlusInput.jsonl" + + assert not os.path.isfile(args.output), f"{args.output} already exists!" + input_generation(args, problems) + + +if __name__ == "__main__": + main() diff --git a/evalplus/evalplus/lecacy_sanitize.py b/evalplus/evalplus/lecacy_sanitize.py new file mode 100644 index 0000000000000000000000000000000000000000..a6bd8d6283fb5571a432982ff79a91f60e5a4e3f --- /dev/null +++ b/evalplus/evalplus/lecacy_sanitize.py @@ -0,0 +1,201 @@ +"""Legacy version of post-processing LLM-generated Python code. +This sanitizer is implemented using regex and string manipulation. +You might want to use the latest tree-sitter-based sanitizer (evalplus.sanitize) instead. +""" + +import os +import pathlib +import re +from typing import List, Optional + +from tqdm import tqdm + +from evalplus.data import ( + get_human_eval_plus, + get_mbpp_plus, + load_solutions, + write_directory, + write_jsonl, +) +from evalplus.syncheck import syntax_check + + +def remove_unindented_lines( + code: str, protect_before: str, execeptions: List[str], trim_tails: List[str] +) -> str: + lines = code.splitlines() + cut_idx = [] + cut_enabled = False + for i, line in enumerate(lines): + if not cut_enabled and line.startswith(protect_before): + cut_enabled = True + continue + if line.strip() == "": + continue + if any(line.startswith(e) for e in execeptions): + continue + + lspace = len(line) - len(line.lstrip()) + if lspace == 0: + cut_idx.append(i) + + if any(line.rstrip().startswith(t) for t in trim_tails): + # cut off everything behind + cut_idx.extend(list(range(i, len(lines)))) + break + + return "\n".join([line for i, line in enumerate(lines) if i not in cut_idx]) + + +def to_four_space_indents(old_code): + new_code = "" + for line in old_code.splitlines(): + lspace = len(line) - len(line.lstrip()) + if lspace == 3: + new_code += " " + new_code += line + "\n" + return new_code + + +def sanitize( + old_code: str, + entry_point: str, + rm_prefix_lines: Optional[str] = None, + eofs: List = None, +): + new_code = old_code + if rm_prefix_lines is not None: + new_code = "\n".join( + [ + line + for line in old_code.splitlines() + if not line.startswith(rm_prefix_lines) + ] + ) + + new_code = "\n" + new_code + def_left = "def " + entry_point + + # basic handling of chat output + new_code = new_code.replace("\n```python\n", "\n```\n") + for chunk in new_code.split("\n```\n"): + if def_left in chunk: + new_code = chunk + break + + chunks = [chunk for chunk in re.split(f"{def_left}\\s*\\(", new_code)] + # TODO: having return does not mean this is complete + bodies = [chunk for chunk in chunks[1:] if " return " in chunk.split("\ndef")[0]] + def_left = def_left + "(" + new_code = def_left + def_left.join(bodies) if len(bodies) > 0 else "" # fn + impl + new_code = to_four_space_indents(new_code) + + for eof in eofs or []: + new_code = new_code.split(eof)[0] + + # remove lines starting from the first unindented line after def_left + new_code = remove_unindented_lines( + new_code, + protect_before=def_left, + execeptions=["def ", "import ", "from "], + trim_tails=['"""', "if", "print"], + ) + new_code = chunks[0] + new_code + + # cut all functions that are not syntactically correct && not the entry point + parts = new_code.split("\ndef ") + includes = [parts[0]] + for fn in new_code.split("\ndef ")[1:]: + if ( + fn.strip().startswith(entry_point + " ") + or fn.strip().startswith(entry_point + "(") + or syntax_check("\ndef " + fn) + ): + includes.append(fn) + new_code = "\ndef ".join(includes) + return new_code.strip() + + +def script( + samples: str, + eofs: List[str] = [], + inplace: bool = False, + rm_prefix_lines: str = None, + debug_task: str = None, + mbpp_version: str = "default", +): + # task_id -> entry_point + entry_point = {} + dataset = {**get_human_eval_plus(), **get_mbpp_plus(version=mbpp_version)} + + for task_id, problem in dataset.items(): + entry_point[task_id] = problem["entry_point"] + + # make a new folder with "-sanitized" suffix + is_folder = os.path.isdir(samples) + target_path = pathlib.Path(samples) + if not inplace: + if is_folder: + new_name = target_path.name + "-sanitized" + else: + new_name = target_path.name.replace(".jsonl", "-sanitized.jsonl") + target_path = target_path.parent / new_name + target_path = str(target_path) + + nsan = 0 + ntotal = 0 + + new_solutions = [] + + for solution in tqdm(load_solutions(samples)): + task_id = solution["task_id"] + dbg_identifier = solution["_identifier"] + if debug_task is not None and task_id != debug_task: + continue + + ntotal += 1 + if "solution" in solution: + old_code = solution["solution"] + else: + assert "completion" in solution + old_code = dataset[task_id]["prompt"] + "\n" + solution["completion"] + + old_code = old_code.strip() + + new_code = sanitize( + old_code=old_code, + entry_point=entry_point[task_id], + rm_prefix_lines=rm_prefix_lines, + eofs=eofs, + ).strip() + + # if changed, print the message + if new_code != old_code: + msg = "Sanitized: " + dbg_identifier + if is_folder: + msg += " -> " + dbg_identifier.replace(samples, target_path) + print(msg) + nsan += 1 + + new_solutions.append({"task_id": task_id, "solution": new_code}) + + if is_folder: + write_directory(target_path, new_solutions) + else: + write_jsonl(target_path, new_solutions) + + if nsan > 0: + print(f"Sanitized {nsan} out of {ntotal} files.") + else: + print(f"All files seems valid -- no files are sanitized.") + print(f"Check the sanitized files at {target_path}") + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/evalplus/perf/__init__.py b/evalplus/evalplus/perf/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/evalplus/evalplus/perf/profile.py b/evalplus/evalplus/perf/profile.py new file mode 100644 index 0000000000000000000000000000000000000000..8d23b55e7dc77e6d1dc69f5e02fe52183059b200 --- /dev/null +++ b/evalplus/evalplus/perf/profile.py @@ -0,0 +1,183 @@ +import time +from concurrent.futures import ProcessPoolExecutor +from multiprocessing import Process, Value, cpu_count +from platform import system +from time import perf_counter +from traceback import format_exc +from typing import Any, Callable, List, Optional + +import psutil +from cirron import Collector + +from evalplus.config import PERF_PROFILE_ROUNDS, PERF_RAM_GB_PER_PROC +from evalplus.eval.utils import ( + TimeoutException, + create_tempdir, + reliability_guard, + swallow_io, + time_limit, +) + + +def get_max_ram_gb(): + total_ram = psutil.virtual_memory().total + return total_ram / (1024**3) + + +def default_parallelism(divisor=4): + return max(1, max(cpu_count(), get_max_ram_gb() // PERF_RAM_GB_PER_PROC) // divisor) + + +def simple_test_profiler(): + # assert linux + assert system() == "Linux", "EvalPerf requires Linux's perf_event_open" + try: + with Collector(): + pass + except Exception as e: + print("It seems your system does not support instruction counting.") + print("Try this on Linux:") + print(" sudo sh -c 'echo 0 > /proc/sys/kernel/perf_event_paranoid' ") + print("Also check more info at: https://github.com/s7nfo/Cirron") + print("Re-raising the original exception...") + raise e + + +def are_profiles_broken(profiles) -> bool: + return not all(isinstance(profile, (float, int)) for profile in profiles) + + +def physical_runtime_profiler(function, test_inputs) -> float: + start = perf_counter() + for test_input in test_inputs: + function(*test_input) + return perf_counter() - start + + +def num_instruction_profiler(function, test_inputs) -> int: + with Collector() as c: + for test_input in test_inputs: + function(*test_input) + return int(c.counters.instruction_count) + + +_STAT_NONE = 0 +_STAT_START = 1 +_STAT_SUCC = 2 +_STAT_ERROR = 3 + + +def get_instruction_count_shared_mem( + profiler: Callable, + func_code: str, + entry_point: str, + test_inputs: List[Any], + timeout_second_per_test: float, + memory_bound_gb: int, + warmup_inputs: Optional[List[Any]], + # shared memory + compute_cost, # Value("d", 0.0), + progress, # Value("i", 0), +) -> Optional[float]: + + error = None + + with create_tempdir(): + # These system calls are needed when cleaning up tempdir. + import os + import shutil + + rmtree = shutil.rmtree + rmdir = os.rmdir + chdir = os.chdir + + # Disable functionalities that can make destructive changes to the test. + maximum_memory_bytes = memory_bound_gb * 1024 * 1024 * 1024 + reliability_guard(maximum_memory_bytes=maximum_memory_bytes) + exec_globals = {} + + # run (eval) the func def + exec(func_code, exec_globals) + fn = exec_globals[entry_point] + + # warmup the function + if warmup_inputs: + for _ in range(3): + fn(*warmup_inputs) + + progress.value = _STAT_START + try: # run the function + with time_limit(timeout_second_per_test): + with swallow_io(): + compute_cost.value = profiler(fn, test_inputs) + progress.value = _STAT_SUCC + except TimeoutException: + print("[Warning] Profiling hits TimeoutException") + except MemoryError: + print("[Warning] Profiling hits MemoryError") + except: + print("[CRITICAL] ! Unknown exception during profiling !") + error = format_exc() + print(error) + + if progress.value != _STAT_SUCC: + progress.value = _STAT_ERROR + + # Needed for cleaning up. + shutil.rmtree = rmtree + os.rmdir = rmdir + os.chdir = chdir + + +def profile( + func_code: str, + entry_point: str, + test_inputs: List[Any], + timeout_second_per_test: float, + memory_bound_gb: int = PERF_RAM_GB_PER_PROC, + profile_rounds: int = PERF_PROFILE_ROUNDS, + profiler: Callable = num_instruction_profiler, + warmup_inputs: Optional[List[Any]] = None, # multiple inputs +) -> List[int | float | str]: + """Profile the func_code against certain input tests. + The function code is assumed to be correct and if a string is returned, it is an error message. + """ + timeout = timeout_second_per_test * len(test_inputs) * profile_rounds + + def _run(): + compute_cost = Value("d", 0.0) + progress = Value("i", _STAT_NONE) + + p = Process( + target=get_instruction_count_shared_mem, + args=( + profiler, + func_code, + entry_point, + test_inputs, + timeout_second_per_test, + memory_bound_gb, + warmup_inputs, + # shared memory + compute_cost, + progress, + ), + ) + p.start() + p.join(timeout=timeout + 1) + if p.is_alive(): + p.terminate() + time.sleep(0.1) + + if p.is_alive(): + p.kill() + time.sleep(0.1) + + if progress.value == _STAT_SUCC: + return compute_cost.value + elif progress.value == _STAT_NONE: + return "PROFILING DID NOT START" + elif progress.value == _STAT_ERROR: + return "SOLUTION ERROR ENCOUNTERED WHILE PROFILING" + + return [_run() for _ in range(profile_rounds)] diff --git a/evalplus/evalplus/perf/sampling.py b/evalplus/evalplus/perf/sampling.py new file mode 100644 index 0000000000000000000000000000000000000000..6957e590b3eb9bc6cd65691dbeed28dd8a24980e --- /dev/null +++ b/evalplus/evalplus/perf/sampling.py @@ -0,0 +1,295 @@ +import json +import os +import re +from concurrent.futures import ProcessPoolExecutor +from copy import deepcopy +from traceback import format_exc +from typing import Any, List, Optional, Tuple + +from pympler.asizeof import asizeof +from rich.syntax import Syntax +from termcolor import colored + +from evalplus.config import PERF_CURATE_TIMEOUT_SECOND, PERF_RAM_GB_PER_PROC +from evalplus.data import get_human_eval_plus, get_mbpp_plus +from evalplus.data.mbpp import mbpp_serialize_inputs +from evalplus.eval.utils import TimeoutException, reliability_guard, time_limit +from evalplus.sanitize import syntax_check +from evalplus.utils import progress + + +# this is more of a hack... rather than a "verified" implementation +def insert_contract(entry_point: str, code: str, contract: str): + # why is this so complicated? because the contract might be mis-indented... + def get_first_indent_size(source, body_char_start_idx): + assert source.strip() + indent_size = 0 + while source[body_char_start_idx - indent_size - 1] == " ": + indent_size += 1 + return indent_size + + code = code.replace("\t", " " * 4) + contract = contract.replace("\t", " " * 4) + + lines = [line for line in code.split("\n") if line.strip()] + fn_def_line = [line for line in lines if line.startswith(f"def {entry_point}")][0] + def_line_idx = lines.index(fn_def_line) + body_start_idx = code.index(code.split(fn_def_line)[1].lstrip()) + + source_indent: int = get_first_indent_size(code, body_start_idx) + contract_indent: int = get_first_indent_size( + contract, len(contract) - len(contract.lstrip()) + ) + return "\n".join( + lines[: def_line_idx + 1] + + [ + " " * max(0, source_indent - contract_indent) + cline + for cline in contract.split("\n") + if cline + ] + + [ + " " * max(0, contract_indent - source_indent) + sline + for sline in lines[def_line_idx + 1 :] + if sline + ] + ) + + +def post_process(text: str) -> Optional[str]: + """Post-process the LLM generated text to make it valid.""" + if "\n```" not in text: + return None + + # split ```python3 or ```python + text = re.split(r"\n```python3?\n", text)[1] + text = text.split("\n```")[0].strip() + + # perform syntax check + if not syntax_check(text): + print(colored("⚠️ Syntax check failed for the code below:", "red")) + print(text[:256], "..." if len(text) > 256 else "") + return None + + return text + + +# returns: +# 1. generated and validated (by the contract) inputs +# 2. whether the generator stops in a well-defined manner +# -- if False, we might want to try another generator +def sample_one_input( + ref_code_with_contract: str, + entry_point: str, + generator_code: str, + timeout_second: float = PERF_CURATE_TIMEOUT_SECOND + 1, +) -> Tuple[List[Any], bool]: + # These system calls are needed when cleaning up tempdir. + import os + import shutil + + rmtree = shutil.rmtree + rmdir = os.rmdir + chdir = os.chdir + # Disable functionalities that can make destructive changes to the test. + # :imit memory usages. + maximum_memory_bytes = PERF_RAM_GB_PER_PROC * 1024 * 1024 * 1024 + reliability_guard(maximum_memory_bytes=maximum_memory_bytes) + exec_globals = {} + + # eval the func def with contract + exec(ref_code_with_contract, exec_globals) + fn = exec_globals[entry_point] + + # eval the generator + generator_code = "from typing import *\n" + generator_code + try: + exec(generator_code, exec_globals) + generator = exec_globals["perf_input_gen"] + except Exception: + print(colored(f"⚠️ [GEN EVAL] Exception ~ {entry_point}:", "red")) + print(colored(format_exc(), "red")) + return [], False + + well_defined_exit = True + return_inputs = [] + + for fac in range(1, 27): + scale = 2**fac + print(f"[INPUT GEN] scale=2**{fac}") + try: + with time_limit(timeout_second): + test_input = generator(scale) + if not isinstance(test_input, tuple): + test_input = (test_input,) + # integers should stay in the range of 64-bit + if any( + isinstance(arg, int) and not (-(2**63) <= arg < 2**63) + for arg in test_input + ): + print(colored(f"[INPUT GEN] Int overflow against 64bit", "yellow")) + break + # hack list integer + if isinstance(test_input[0], list) and any( + not (-(2**63) <= v < 2**63) + for v in test_input[0] + if isinstance(v, int) + ): + print(colored(f"[INPUT GEN] Int overflow against 64bit", "yellow")) + break + # stop here if the input is of 64M. + INPUT_LIMIT_MB = 64 + if asizeof(test_input) > 1024 * 1024 * INPUT_LIMIT_MB: + print(colored(f"[INPUT GEN] Size > {INPUT_LIMIT_MB}MB", "yellow")) + break + except TimeoutException: + print(colored(f"[INPUT GEN] TimeoutException at scale=2**{fac}", "yellow")) + break + except MemoryError: + print(colored(f"[INPUT GEN] MemoryError at scale=2**{fac}", "yellow")) + break + except Exception: + print(colored(f"⚠️ [INPUT GEN] Exception at scale=2**{fac}", "red")) + print(colored(format_exc(), "red")) + well_defined_exit = False + break + + try: + with time_limit(timeout_second): + # deepcopy in case fn modifies the input + fn(*deepcopy(test_input)) + return_inputs = [test_input] # only keep on input + except TimeoutException: + print(colored(f"[Testing] Timeout at scale=2**{fac}", "yellow")) + break + except MemoryError: + print(colored(f"[Testing] MemoryError at scale=2**{fac}", "yellow")) + break + except Exception: + print(colored(f"⚠️ [Testing] Exception ~ {entry_point}", "red")) + print(colored(format_exc(), "red")) + well_defined_exit = False + break + + # Needed for cleaning up. + shutil.rmtree = rmtree + os.rmdir = rmdir + os.chdir = chdir + + return return_inputs, well_defined_exit + + +def main(input: str, output: str): + """In the synthesizer file, each line includes a set of input generators for a task. + The goal of this script is to use these generators to sample inputs for each task. + The generated inputs are expected to be valid. + """ + assert output.endswith(".jsonl"), "output must be a .jsonl file" + + id2task = {} + for task_id, item in get_human_eval_plus().items(): + id2task[task_id] = item + + for task_id, item in get_mbpp_plus().items(): + id2task[task_id] = item + + # loading the synthesizers + with open(input, "r") as f: + synthesizers = [json.loads(l) for l in f] + + n_total = 0 + n_parsed = 0 + n_dedup = 0 + + for item in synthesizers: + item["synthesizers"] = [post_process(s) for s in item["synthesizers"]] + n_total += len(item["synthesizers"]) + item["synthesizers"] = [s for s in item["synthesizers"] if s is not None] + n_parsed += len(item["synthesizers"]) + + dedup_set = set() + for s in item["synthesizers"]: + dedup_set.add( + "\n".join( + [l for l in s.splitlines() if l.strip() and not l.startswith("#")] + ) + ) + item["synthesizers"] = list(dedup_set) + n_dedup += len(item["synthesizers"]) + + print( + colored( + f"#Total {n_total} with {n_parsed} parsed => {100 * (1 - n_parsed / n_total) :.1f}% syntax err", + "green", + ) + ) + + print( + colored( + f"#Parsed {n_parsed} with {n_dedup} dedup => {100 * (1 - n_dedup / n_parsed) :.1f}% duplicate", + "green", + ) + ) + + # resume mode check finished tasks + finished_tasks = set() + if os.path.isfile(output): + with open(output, "r") as f: + for l in f: + item = json.loads(l) + finished_tasks.add(item["task_id"]) + + print("Resumed finished tasks:", finished_tasks) + with open(output, "ab+") as f: + with progress() as p: + for item in p.track(synthesizers): + task_id = item["task_id"] + entry_point = id2task[task_id]["entry_point"] + if task_id in finished_tasks: + p.console.print(f"{task_id}: {entry_point} ~ Resumed") + continue + + ref_code_with_contract = insert_contract( + entry_point, item["ref_code"], id2task[task_id]["contract"] + ) + p.console.print(f"{task_id}: PE input generation...") + p.console.print(Syntax(ref_code_with_contract.strip(), "python")) + + results = [] + for i, generator_code in enumerate(item["synthesizers"]): + p.console.print( + f"Using generator {i+1}/{len(item['synthesizers'])}:" + ) + p.console.print(Syntax(generator_code, "python")) + args = ( + ref_code_with_contract, + entry_point, + generator_code, + ) + with ProcessPoolExecutor(max_workers=1) as executor: + tmp_results, status = executor.submit( + sample_one_input, *args + ).result() + + results.extend(tmp_results) + + # if the func returns in a well-defined manner, we can stop here. + if status: + break + + p.console.print("Serializing and storing results...") + + if "Mbpp/" in task_id: + results = mbpp_serialize_inputs(task_id, results) + + to_write = {"task_id": item["task_id"], "inputs": results} + to_write = (json.dumps(to_write) + "\n").encode("utf-8") + + # task_id => list of inputs + f.write(to_write) + f.flush() + + +if __name__ == "__main__": + import fire + + fire.Fire(main) diff --git a/evalplus/evalplus/perf/sas.py b/evalplus/evalplus/perf/sas.py new file mode 100644 index 0000000000000000000000000000000000000000..f2b7b0fe5610c6e5e1086f381308dba027a687cb --- /dev/null +++ b/evalplus/evalplus/perf/sas.py @@ -0,0 +1,168 @@ +"""This file implements the "Synthesizing an Synthesizer" idea using OpenAI API. +Specifically, for each HumanEval+ and MBPP+ task, we generate n test input synthesizers +by querying a vLLM server (https://docs.vllm.ai/en/latest/). +""" + +import json +from typing import Optional + +import openai +from tqdm import tqdm + +from evalplus.data import get_human_eval_plus, get_mbpp_plus + + +def fewshot_cot( + task_id, + client: openai.OpenAI, + entry_point: str, + code: str, + model: str, + n: int = 1, + max_tokens: int = 2048, +): + responses = client.completions.create( + model=model, + prompt=f'''\ +You are an AI programming assistant, proficient in analyzing and generating Python code. \ +You are going to produce a self-contained Python function to generate a large input for a given function, \ +to test its performance at scale. +### Instruction: +Generate a `perf_input_gen(scale: int)` function to produce a "large" input to exercise the performance of the `add` function: +```python3 +def add(x: int, y: int): + """Add two numbers x and y + >>> add(2, 3) + 5 + >>> add(5, 7) + 12 + """ + return x + y +``` +### Response: +Analysis: +1. Input format: two integers `x` and `y` +2. Is this task O(1) solvable? Yes +### Instruction: +Generate a `perf_input_gen(scale: int)` function to produce a "large" input to exercise the performance of the `prime_num` function: +```python3 +""" +Write a function to check if a number is prime or not. +assert prime_num(2) == True +""" +import math +def prime_num(num): + if num < 2: return False + for i in range(2, math.isqrt(num)): + if num % i == 0: + return False + return True +``` +### Response: +Analysis: +1. Input format: An integer `n` +2. Is this task O(1) solvable? No +3. Time complexity: O(n) +4. Space complexity: O(1) +5. What kind of input can exercise its performance? Large prime numbers +```python3 +# Can reuse the `prime_num` function +# `scale` is a rough estimate of the input size -- larger `scale` means larger input +# use case: prime_num(*perf_input_gen(scale)) +import random +def perf_input_gen(scale: int): + for i in range(scale, 2, -1): + if prime_num(i): + return (i,) + return (2,) +``` +### Instruction: +Generate a `perf_input_gen(scale: int)` function to produce a "large" input to exercise the performance of the `{entry_point}` function: +```python3 +{code} +``` +### Response: +Analysis: +1. Input format: ''', + n=n, + stop=["\n```\n", "\n2. Is this task O(1) solvable? Yes"], + max_tokens=max_tokens, + temperature=0.2, + ) + + # warn if any response is out of context + for r in responses.choices: + if r.finish_reason == "length": + print(f"Warning: response is too long for {task_id}") + + return [r.text for r in responses.choices] + + +def main( + output: str, # output file + n: int = 16, # sample size and batch size + model: Optional[str] = "TheBloke/deepseek-coder-33B-instruct-AWQ", + port: str = 8088, +): + assert output.endswith(".jsonl"), "output must be a .jsonl file" + + base_url = f"http://localhost:{port}/v1" + print(f"Trying to query vLLM model: {model} at {base_url}") + print(f"Note: To use SaS, you need to first set up a vLLM server for {model}") + print(f"For example:") + print( + f"""python -m vllm.entrypoints.openai.api_server \\ +--model "{model}" \\ +--port {port} \\ +--tensor-parallel-size 2 \\ +--max-num-seqs 16 \\ +--gpu-memory-utilization 1.0""" + ) + + # "task_id" -> { "task_id", "entry_point", "ref_code", } + tasks = {} + for task_id, item in get_human_eval_plus().items(): + tasks[task_id] = { + "task_id": task_id, + "entry_point": item["entry_point"], + "ref_code": item["prompt"] + item["canonical_solution"], + } + + for task_id, item in get_mbpp_plus().items(): + tasks[task_id] = { + "task_id": task_id, + "entry_point": item["entry_point"], + "ref_code": item["prompt"] + item["canonical_solution"], + } + + # Using vLLM as a backend, please make sure that a vLLM server is available first. + # vLLM document: https://docs.vllm.ai/en/latest/ + client = openai.OpenAI(api_key="none", base_url=base_url) + + with open(output, "w") as f: + for task_id, item in tqdm(tasks.items(), total=len(tasks)): + responses = fewshot_cot( + task_id=task_id, + client=client, + entry_point=item["entry_point"], + code=item["ref_code"], + model=model, + n=n, + ) + f.write( + json.dumps( + { + "task_id": task_id, + "ref_code": item["ref_code"], + "synthesizers": responses, + } + ) + + "\n" + ) + f.flush() + + +if __name__ == "__main__": + import fire + + fire.Fire(main) diff --git a/evalplus/evalplus/perf/select_pe_inputs.py b/evalplus/evalplus/perf/select_pe_inputs.py new file mode 100644 index 0000000000000000000000000000000000000000..950ff510d275f1837f213f2e0df152475e2dab32 --- /dev/null +++ b/evalplus/evalplus/perf/select_pe_inputs.py @@ -0,0 +1,126 @@ +"""Select the most performance-exercising inputs from pe_inputs obtained from `sampling.py`. +""" + +import json +from statistics import median + +from tqdm import tqdm + +from evalplus.config import PERF_CURATE_TIMEOUT_SECOND +from evalplus.data import get_human_eval_plus, get_mbpp_plus +from evalplus.data.mbpp import mbpp_deserialize_inputs, mbpp_serialize_inputs +from evalplus.perf.profile import are_profiles_broken, profile + + +def script(solutions: str, output_profiled_solutions: str, pe_inputs: str = None): + assert solutions.endswith(".jsonl") + assert pe_inputs is None or pe_inputs.endswith(".jsonl") + assert output_profiled_solutions.endswith(".jsonl") + + evalplus = get_human_eval_plus(noextreme=True) + mbppplus = get_mbpp_plus(noextreme=True) + tasks = {**evalplus, **mbppplus} + + # assume each line's format is: { + # "task_id": task's id, + # "inputs": a list of inputs, + inputs_dict = None + + if pe_inputs is not None: + print("Loading performance-exercising inputs...") + with open(pe_inputs, "r") as f: + inputs_dict = { + task["task_id"]: task["inputs"] for l in f for task in [json.loads(l)] + } + + # Notably, the solutions are already validated and cleaned. + with open(solutions, "r") as f: + solutions = {} + for l in f: + solution = json.loads(l) + solutions[solution["task_id"]] = solution["solution"] + + for task_id, task in tqdm(tasks.items()): + if inputs_dict: + inputs = ( + mbpp_deserialize_inputs(task_id, inputs_dict[task_id]) + if "Mbpp/" in task_id + else inputs_dict[task_id] + ) + else: + inputs = task["base_input"] + list(task["plus_input"]) + + input_costs = [] + + if task_id.startswith("HumanEval"): + canonical_solution = task["prompt"] + task["canonical_solution"] + else: + canonical_solution = task["canonical_solution"] + + for inp in inputs: + costs = profile( + canonical_solution, + task["entry_point"], + [inp], + timeout_second_per_test=PERF_CURATE_TIMEOUT_SECOND, + ) + if are_profiles_broken(costs): + continue + input_costs.append((median(costs), inp)) + input_costs.sort(reverse=True, key=lambda x: x[0]) + + for _, pe_input in input_costs: + solution_costs = [] + + for solution in solutions[task_id]: + costs = profile( + solution, + task["entry_point"], + [pe_input], + timeout_second_per_test=PERF_CURATE_TIMEOUT_SECOND, + ) + if not are_profiles_broken(costs): + solution_costs.append(costs) + continue + + # stop once we find the first also the most performance-exercising input + break + + # This means no timeouts happen for the input, so we use it. + if len(solution_costs) == len(solutions[task_id]): + break + + # If no satisfied input found, we don't save any profiled data. + if len(input_costs) == 0 or len(solution_costs) != len(solutions[task_id]): + print(f"Skipping {task_id}...") + pe_input = None + solution_costs = None + else: + pe_input = ( + mbpp_serialize_inputs(task_id, [pe_input]) + if task_id.startswith("Mbpp/") + else [pe_input] + ) + + with open(output_profiled_solutions, "a") as f: + f.write( + json.dumps( + { + "task_id": task_id, + "pe_input": pe_input, + "solutions": solutions[task_id], + "counter_profile": solution_costs, + } + ) + + "\n" + ) + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/evalplus/perf/select_pe_tasks.py b/evalplus/evalplus/perf/select_pe_tasks.py new file mode 100644 index 0000000000000000000000000000000000000000..56ffc1742f4f3777d1317b2c19220be6351fdd53 --- /dev/null +++ b/evalplus/evalplus/perf/select_pe_tasks.py @@ -0,0 +1,240 @@ +"""Analyze the variance of PE and their time cost. +Filter those with high variance and low time cost. +""" + +import json +import math +from datetime import datetime +from typing import List + +import numpy as np +from rich.console import Console +from rich.syntax import Syntax +from termcolor import colored + +from evalplus.config import PREF_CURATE_MIN_INSTRUCTION + + +def cv(time_costs: List[float]) -> float: + """ + We use Coefficient of Variation (CV) to as the variance of PE. + CV = 100 * standard deviation / mean + """ + if len(time_costs) == 0: + raise ValueError("time_costs is empty.") + return 100 * np.std(time_costs) / np.mean(time_costs) + + +def filter_by_profile_size(task2profile: dict, threshold: int = 10): + to_remove = [] + for task_id, profile in task2profile.items(): + if ( + profile is None + or len(profile) < threshold + or any(None in p for p in profile) + ): + print(colored(f"⚠️ {task_id} skipped: #profile < {threshold}", "red")) + to_remove.append(task_id) + for task_id in to_remove: + del task2profile[task_id] + return task2profile + + +def filter_by_compute_cost( + task2profile: dict, thresh: float = PREF_CURATE_MIN_INSTRUCTION +): + """Filter out tasks that can be solved using less than threshold #instruction.""" + to_remove = [] + for task_id, profile in task2profile.items(): + if ( + min(np.mean(p) for p in profile) < thresh + ): # filter if some solution is too fast + print( + colored( + f"⚠️ {task_id} skipped: some solution is faster than {thresh} #instruction", + "red", + ) + ) + to_remove.append(task_id) + for task_id in to_remove: + del task2profile[task_id] + return task2profile + + +def filter_by_cv(task2profile: dict, thresh: float, percentile: int = 95): + to_remove = [] + for task_id, profile in task2profile.items(): + mean_var = np.percentile([cv(p) for p in profile], percentile) + if mean_var > thresh: + print( + colored( + f"⚠️ {task_id} skipped: P{percentile} CV = {mean_var:.1f}% > {thresh}%", + "red", + ) + ) + to_remove.append(task_id) + for task_id in to_remove: + del task2profile[task_id] + return task2profile + + +# smaller time, larger threshold +def thresh_fn(base_thresh, x, weight=0.002): + return base_thresh + math.sqrt(weight / x) + + +def adaptive_seg1d(arr1d, base_thresh=0.10): + # sort from large to small + arr1d = np.sort(arr1d)[::-1] + # relative distance + relative_distance = -np.diff(arr1d) / arr1d[:-1] + + splitter_idx = [] + for i, rel in enumerate(relative_distance): + if rel > thresh_fn(base_thresh, arr1d[i], weight=PREF_CURATE_MIN_INSTRUCTION): + splitter_idx.append(i + 1) + + # [9, 8, 7, |-> 3, 2 1] + # splitter_idx points to the slowest in each cluster + return np.split(arr1d, splitter_idx) + + +def filter_by_clustering(task2profile: dict, base_threshold=0.2, min_clusters=3): + to_remove = [] + for task_id, profile in task2profile.items(): + if len(adaptive_seg1d(np.mean(profile, axis=1), base_threshold)) < min_clusters: + print( + colored( + f"⚠️ {task_id} skipped: #Cluster = 0 with {base_threshold=}%", + "red", + ) + ) + to_remove.append(task_id) + for task_id in to_remove: + del task2profile[task_id] + return task2profile + + +def brief_list_repr(lst, head_count=4, tail_count=4): + if len(lst) <= head_count + tail_count: + return f"{lst}" + else: + head = ", ".join(str(x) for x in lst[:head_count]) + tail = ", ".join(str(x) for x in lst[-tail_count:]) + return f"[{head}, ..., {tail}]" + + +def script( + profiled_solutions: str, + output_dataset: str = f"evalperf-{datetime.now():%Y%m%d}.jsonl", + debug_tasks: List[str] = [], + min_clusters=4, +): + assert profiled_solutions.endswith(".jsonl") + assert output_dataset.endswith(".jsonl") + + # read jsonl + with open(profiled_solutions, "r") as f: + profiled_solutions = [json.loads(l) for l in f if l.strip()] + + console = Console() + + task2profile = {d["task_id"]: d["counter_profile"] for d in profiled_solutions} + print(f"Loaded {len(task2profile)} tasks.") + + # * Criteria 1: Profile cannot be empty + task2profile = filter_by_profile_size(task2profile) + print(f"{len(task2profile)} tasks with profile.") + + # * Criteria 2: Solutions should run more than MIN_SLOWEST_INSTRUCTION_COUNT + task2profile = filter_by_compute_cost(task2profile) + print( + f"{len(task2profile)} tasks with slowest mean time > {PREF_CURATE_MIN_INSTRUCTION}s." + ) + + # * Criteria 3: P99-CV should be less than 5% + final_thresh = 5 + percentile = 99 + task2profile = filter_by_cv( + task2profile, thresh=final_thresh, percentile=percentile + ) + print(f"{len(task2profile)} tasks with CV <= {final_thresh}%.") + + # * Criteria 4: Cluster should be more than 1 + task2profile = filter_by_clustering( + task2profile, base_threshold=0.2, min_clusters=min_clusters + ) + print(f"{len(task2profile)} tasks with #Cluster >= {min_clusters}.") + + # export dataset + task2solution = {d["task_id"]: d for d in profiled_solutions} + # each item is {"task_id": "xxx", "solutions": [...], "percentile": [...]} + export_dataset = [] + total_clusters = 0 + for task_id, profile in task2profile.items(): + print(colored(f"-========== {task_id} ==========-", "green")) + if task_id in debug_tasks: + print(colored(f"Debugging {task_id}", "red")) + mean_runtime = [np.mean(p) for p in profile] + clusters = adaptive_seg1d(mean_runtime) # descend + print(colored(f"#seg = {len(clusters)}", "green")) + + accumulative_ratio = [] + ref_idx = [] + for i, cluster in enumerate(clusters): + prior_ar = 0 if i == 0 else accumulative_ratio[-1] + ratio = 100 * len(cluster) / len(mean_runtime) + acc_ratio = prior_ar + ratio + brief_list_str = brief_list_repr([round(1000 * v) for v in cluster]) + print( + f"#{i} |{len(cluster):<3}| ({acc_ratio:<4.1f}) @cv {cv(cluster):.1f}: {brief_list_str}" + ) + accumulative_ratio.append(acc_ratio) + ref_idx.append(np.where(mean_runtime == cluster[0])[0][0]) + + if task_id in debug_tasks: + # print solutions + solution_text = task2solution[task_id]["solutions"][ref_idx[-1]] + # remove empty lines + solution_text = "\n".join( + line for line in solution_text.split("\n") if line.strip() + ) + console.print(Syntax(solution_text, "python")) + print(colored("-" * 32, "green")) + + total_clusters += len(clusters) + + # add reference solution and check consistency + for i in range(len(ref_idx)): + if i == 0: + continue + # prior runtime must be larger than current + assert mean_runtime[ref_idx[i - 1]] > mean_runtime[ref_idx[i]] + + reference = [task2solution[task_id]["solutions"][idx] for idx in ref_idx] + + assert len(reference) == len(clusters) + assert len(accumulative_ratio) == len(reference) + item = { + "task_id": task_id, + "reference": reference, + "pe_input": task2solution[task_id]["pe_input"], + "scores": accumulative_ratio, + } + export_dataset.append(item) + + print(f"Total clusters: {total_clusters}") + + with open(output_dataset, "w") as f: + for item in export_dataset: + f.write(json.dumps(item) + "\n") + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/evalplus/provider/__init__.py b/evalplus/evalplus/provider/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..83f39dcfc2f3991c36486faa88848acfaf37c33d --- /dev/null +++ b/evalplus/evalplus/provider/__init__.py @@ -0,0 +1,122 @@ +from evalplus.provider.base import DecoderBase + + +def make_model( + model: str, + backend: str, + dataset: str, + batch_size: int = 1, + temperature: float = 0.0, + force_base_prompt: bool = False, + # instruction model only + instruction_prefix=None, + response_prefix=None, + # non-server only + dtype="bfloat16", + trust_remote_code=False, + # vllm only + tp=1, + enable_prefix_caching=False, + enable_chunked_prefill=False, + # openai only + base_url=None, + # hf only + attn_implementation="eager", + device_map=None, + # gptqmodel only + gptqmodel_backend: str = 'auto', + gguf_file: str = None, +) -> DecoderBase: + if backend == "vllm": + from evalplus.provider.vllm import VllmDecoder + + return VllmDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + dataset=dataset, + force_base_prompt=force_base_prompt, + tensor_parallel_size=tp, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + trust_remote_code=trust_remote_code, + enable_prefix_caching=enable_prefix_caching, + enable_chunked_prefill=enable_chunked_prefill, + dtype=dtype, + gguf_file=gguf_file + ) + elif backend == "hf": + from evalplus.provider.hf import HuggingFaceDecoder + + return HuggingFaceDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + dataset=dataset, + force_base_prompt=force_base_prompt, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + attn_implementation=attn_implementation, + device_map=device_map, + trust_remote_code=trust_remote_code, + dtype=dtype, + gguf_file=gguf_file, + ) + elif backend == "openai": + from evalplus.provider.openai import OpenAIChatDecoder + + assert not force_base_prompt, f"{backend} backend does not serve base model" + return OpenAIChatDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + base_url=base_url, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + ) + elif backend == "anthropic": + from evalplus.provider.anthropic import AnthropicDecoder + + assert not force_base_prompt, f"{backend} backend does not serve base model" + return AnthropicDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + ) + elif backend == "google": + from evalplus.provider.google import GeminiDecoder + + assert not force_base_prompt, f"{backend} backend does not serve base model" + return GeminiDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + ) + elif backend == "bedrock": + from evalplus.provider.bedrock import BedrockDecoder + + assert not force_base_prompt, f"{backend} backend does not serve base model" + return BedrockDecoder( + name=model, + batch_size=batch_size, + temperature=temperature, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + ) + elif backend == "gptqmodel": + from evalplus.provider.gptqmodel import GPTQModelDecoder + + return GPTQModelDecoder( + name=model, + dataset=dataset, + force_base_prompt=force_base_prompt, + instruction_prefix=instruction_prefix, + response_prefix=response_prefix, + trust_remote_code=trust_remote_code, + gptqmodel_backend=gptqmodel_backend, + ) + diff --git a/evalplus/evalplus/provider/anthropic.py b/evalplus/evalplus/provider/anthropic.py new file mode 100644 index 0000000000000000000000000000000000000000..a5bcdd78c6ebad31161b5fb33f361ade6ac76bd6 --- /dev/null +++ b/evalplus/evalplus/provider/anthropic.py @@ -0,0 +1,46 @@ +import os +from typing import List + +import anthropic + +from evalplus.gen.util import anthropic_request +from evalplus.provider.base import DecoderBase + + +class AnthropicDecoder(DecoderBase): + def __init__(self, name: str, **kwargs) -> None: + super().__init__(name, **kwargs) + self.client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_KEY")) + + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if do_sample: + assert self.temperature > 0, "Temperature must be positive for sampling" + + batch_size = min(self.batch_size, num_samples) + if not do_sample: + assert batch_size == 1, "Sampling only supports batch size of 1" + + outputs = [] + for _ in range(batch_size): + message = anthropic_request.make_auto_request( + client=self.client, + model=self.name, + messages=[ + { + "role": "user", + "content": self.instruction_prefix + + f"\n```python\n{prompt.strip()}\n```\n", + } + ], + max_tokens=self.max_new_tokens, + temperature=self.temperature, + stop_sequences=self.eos, + ) + outputs.append(message.content[0].text) + + return outputs + + def is_direct_completion(self) -> bool: + return False diff --git a/evalplus/evalplus/provider/base.py b/evalplus/evalplus/provider/base.py new file mode 100644 index 0000000000000000000000000000000000000000..ad71447c4948ff1b57c35028da2ca2a78af04aa8 --- /dev/null +++ b/evalplus/evalplus/provider/base.py @@ -0,0 +1,45 @@ +from abc import ABC, abstractmethod +from typing import List + +from evalplus.provider.utility import EOS + + +class DecoderBase(ABC): + def __init__( + self, + name: str, + batch_size: int = 1, + temperature: float = 0.8, + max_new_tokens: int = 768, + dtype: str = "bfloat16", # default + trust_remote_code: bool = False, + instruction_prefix: str = None, + response_prefix: str = None, + ) -> None: + print("Initializing a decoder model: {} ...".format(name)) + self.name = name + self.batch_size = batch_size + self.temperature = temperature + self.eos = EOS + self.skip_special_tokens = False + self.max_new_tokens = max_new_tokens + self.dtype = dtype + self.trust_remote_code = trust_remote_code + self.instruction_prefix = instruction_prefix + self.response_prefix = response_prefix + + @abstractmethod + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + pass + + @abstractmethod + def is_direct_completion(self) -> bool: + pass + + def __repr__(self) -> str: + return self.name + + def __str__(self) -> str: + return self.name diff --git a/evalplus/evalplus/provider/bedrock.py b/evalplus/evalplus/provider/bedrock.py new file mode 100644 index 0000000000000000000000000000000000000000..7f6dff984a04bbbd675cba80e34db9442e8d1431 --- /dev/null +++ b/evalplus/evalplus/provider/bedrock.py @@ -0,0 +1,95 @@ +import datetime +import os +from typing import Dict, List + +import boto3 +from botocore.config import Config + +from evalplus.provider.base import DecoderBase +from evalplus.provider.utility import concurrent_call + +BEDROCK_CONFIG = Config(retries={"max_attempts": 100, "mode": "standard"}) + + +class AutoRefreshBedrockCaller: + def __init__(self, role_arn, region_name): + self.role_arn = role_arn + self.region_name = region_name + self.session_name = "BedrockSession" + self.session = boto3.Session() + self.sts_client = self.session.client("sts", region_name=region_name) + self.bedrock_client = boto3.client( + "bedrock-runtime", config=BEDROCK_CONFIG, region_name=region_name + ) + self.expiration = None + self.refresh_credentials() + + def refresh_credentials(self): + assumed_role = self.sts_client.assume_role( + RoleArn=self.role_arn, + RoleSessionName=self.session_name, + DurationSeconds=12 * 60 * 60, + ) + credentials = assumed_role["Credentials"] + self.bedrock_client = boto3.client( + "bedrock-runtime", + aws_access_key_id=credentials["AccessKeyId"], + aws_secret_access_key=credentials["SecretAccessKey"], + aws_session_token=credentials["SessionToken"], + region_name=self.region_name, + config=BEDROCK_CONFIG, + ) + self.expiration = credentials["Expiration"] + + def _refresh_guard(self): + if self.expiration is None or datetime.datetime.now( + datetime.timezone.utc + ) > self.expiration - datetime.timedelta(minutes=10): + self.refresh_credentials() + + def converse(self, *arg, **kwargs): + self._refresh_guard() + return self.bedrock_client.converse(*arg, **kwargs) + + +BEDROCK_ROLE_ARN = os.getenv("BEDROCK_ROLE_ARN", None) +AWS_REGION = os.getenv("AWS_REGION", "us-east-1") + + +class BedrockDecoder(DecoderBase): + def __init__(self, name: str, **kwargs) -> None: + super().__init__(name, **kwargs) + + def _call_one(self, messages: List[Dict[str, str]]) -> str: + assert ( + BEDROCK_ROLE_ARN + ), "Please specify BEDROCK_ROLE_ARN via environment variable" + self.client = AutoRefreshBedrockCaller( + role_arn=BEDROCK_ROLE_ARN, region_name=AWS_REGION + ) + + response = self.client.converse( + modelId=self.name, + messages=messages, + inferenceConfig={ + "maxTokens": self.max_new_tokens, + "temperature": self.temperature, + "topP": 0.95, + }, + ) + + return response["output"]["message"]["content"][0]["text"] + + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if do_sample: + assert self.temperature > 0, "Temperature must be positive for sampling" + batch_size = min(self.batch_size, num_samples) + prompt = self.instruction_prefix + f"\n```python\n{prompt.strip()}\n```" + messages = [{"role": "user", "content": [{"text": prompt.strip()}]}] + + return concurrent_call(batch_size, self._call_one, messages) + + def is_direct_completion(self) -> bool: + return False diff --git a/evalplus/evalplus/provider/google.py b/evalplus/evalplus/provider/google.py new file mode 100644 index 0000000000000000000000000000000000000000..206415e2f539ca9352107242cd62e3699c28b863 --- /dev/null +++ b/evalplus/evalplus/provider/google.py @@ -0,0 +1,96 @@ +import os +import time +from traceback import print_exc +from typing import List + +import google.generativeai as genai +from google.api_core.exceptions import GoogleAPICallError, ResourceExhausted + +from evalplus.provider.base import DecoderBase + + +def make_request( + client: genai.GenerativeModel, + messages: List, + temperature: float, + n: int, + max_new_tokens: int = 2048, +) -> genai.types.GenerateContentResponse: + messages = [{"role": m["role"], "parts": [m["content"]]} for m in messages] + response = client.generate_content( + messages, + generation_config=genai.types.GenerationConfig( + candidate_count=n, + max_output_tokens=max_new_tokens, + temperature=temperature, + top_p=0.95, + ), + safety_settings=[ + {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"}, + {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"}, + {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"}, + {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"}, + ], + ) + + return response + + +def make_auto_request(*args, **kwargs) -> genai.types.GenerateContentResponse: + ret = None + while ret is None: + try: + ret = make_request(*args, **kwargs) + except ResourceExhausted as e: + print("Rate limit exceeded. Waiting...", e.message) + time.sleep(10) + except GoogleAPICallError as e: + print(e.message) + time.sleep(1) + except Exception: + print("Unknown error. Waiting...") + print_exc() + time.sleep(1) + return ret + + +class GeminiDecoder(DecoderBase): + def __init__(self, name: str, **kwargs): + super().__init__(name, **kwargs) + genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) + self.client = genai.GenerativeModel(name) + + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if do_sample: + assert self.temperature > 0, "Temperature must be positive for sampling" + batch_size = min(self.batch_size, num_samples, 8) + message = self.instruction_prefix + f"\n```python\n{prompt.strip()}\n```" + replies = make_auto_request( + self.client, + [{"role": "user", "content": message}], + n=batch_size, + temperature=self.temperature, + max_new_tokens=self.max_new_tokens, + ) + + if len(replies.candidates) != batch_size: + print( + f"WARNING: Expected {batch_size} outputs but got {len(replies.candidates)}" + ) + + ret_texts = [] + for candidate in replies.candidates: + parts = candidate.content.parts + if parts: + ret_texts.append(parts[0].text) + else: + print("Empty response!") + ret_texts.append("") + print(f"{candidate.safety_ratings = }") + + return ret_texts + [""] * (batch_size - len(ret_texts)) + + def is_direct_completion(self) -> bool: + return False diff --git a/evalplus/evalplus/provider/gptqmodel.py b/evalplus/evalplus/provider/gptqmodel.py new file mode 100644 index 0000000000000000000000000000000000000000..133e80b6f6eb01f8efb866580c8555ed120c7039 --- /dev/null +++ b/evalplus/evalplus/provider/gptqmodel.py @@ -0,0 +1,92 @@ +from typing import List + +import torch +from transformers import AutoTokenizer + +try: + from gptqmodel import GPTQModel +except ModuleNotFoundError as exception: + raise type(exception)( + "Tried to load gptqmodel, but gptqmodel is not installed ", + "please install gptqmodel via `pip install gptqmodel --no-build-isolation`", + ) + +from evalplus.provider.base import DecoderBase +from evalplus.provider.utility import ( + extra_eos_for_direct_completion, + make_raw_chat_prompt, +) + + +class GPTQModelDecoder(DecoderBase): + def __init__( + self, + name: str, + dataset: str, + gptqmodel_backend: str = 'auto', + force_base_prompt: bool = False, + **kwargs, + ): + super().__init__(name=name, **kwargs) + + if hasattr(torch, "mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available(): + device = torch.device("mps") + elif hasattr(torch, "xpu") and hasattr(torch.xpu, "is_available") and torch.xpu.is_available(): + device = torch.device("xpu") + elif hasattr(torch, "cuda") and hasattr(torch.cuda, "is_available") and torch.cuda.is_available(): + device = torch.device("cuda") + else: + device = torch.device("cpu") + + self.device = device + + kwargs = { + "model_id_or_path": name, + "trust_remote_code": self.trust_remote_code, + "backend": gptqmodel_backend, + "device": device + } + self.skip_special_tokens = True + self.force_base_prompt = force_base_prompt + self.tokenizer = AutoTokenizer.from_pretrained(name, trust_remote_code=self.trust_remote_code) + if self.is_direct_completion(): # no chat template + self.eos += extra_eos_for_direct_completion(dataset) + else: # with chat template + self.eos += ["\n```\n"] + self.model = GPTQModel.load(**kwargs) + self.model = self.model.to(self.device) + + def is_direct_completion(self) -> bool: + return self.force_base_prompt or self.tokenizer.chat_template is None + + @torch.inference_mode() + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + prompt = ( + prompt + if self.is_direct_completion() + else make_raw_chat_prompt( + prompt, self.instruction_prefix, self.response_prefix, self.tokenizer + ) + ) + input_tokens = self.tokenizer.encode(prompt, return_tensors="pt").to(self.device) + + outputs = self.model.generate(input_ids=input_tokens, + pad_token_id=self.tokenizer.pad_token_id or self.tokenizer.eos_token_id, + max_new_tokens=self.max_new_tokens) + + gen_strs = self.tokenizer.batch_decode( + outputs[:, input_tokens.size(-1):], + skip_special_tokens=self.skip_special_tokens, + ) + + outputs = [] + # removes eos tokens. + for output in gen_strs: + min_index = 10000 + for eos in self.eos: + if eos in output: + min_index = min(min_index, output.index(eos)) + outputs.append(output[:min_index].replace("\t", " ")) + return outputs diff --git a/evalplus/evalplus/provider/hf.py b/evalplus/evalplus/provider/hf.py new file mode 100644 index 0000000000000000000000000000000000000000..c57239b7d326e3168ed1aea5ac0b02eb7c3202b8 --- /dev/null +++ b/evalplus/evalplus/provider/hf.py @@ -0,0 +1,106 @@ +from typing import List + +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer + +from evalplus.provider.base import DecoderBase +from evalplus.provider.utility import ( + extra_eos_for_direct_completion, + make_raw_chat_prompt, +) + + +class HuggingFaceDecoder(DecoderBase): + def __init__( + self, + name: str, + dataset: str, + force_base_prompt: bool = False, + attn_implementation: str = "eager", + device_map: str = None, + gguf_file: str = None, + **kwargs, + ): + super().__init__(name=name, **kwargs) + self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + + kwargs = { + "device_map": device_map, + "trust_remote_code": self.trust_remote_code, + "torch_dtype": getattr(torch, self.dtype), + "attn_implementation": attn_implementation, # "eager", "flash_attention_2", "sdpa" + "gguf_file": gguf_file + } + + self.skip_special_tokens = True + + print(f"{kwargs = }") + + self.force_base_prompt = force_base_prompt + + # gguf format embeds tokenizer and is not compatible with hf tokenizer `use_fast` param + tokenizer_kwargs = {} + if gguf_file is None: + tokenizer_kwargs["use_fast"] = False + else: + tokenizer_kwargs["gguf_file"] = gguf_file + self.tokenizer = AutoTokenizer.from_pretrained(name, **tokenizer_kwargs) + if self.is_direct_completion(): # no chat template + self.eos += extra_eos_for_direct_completion(dataset) + else: # with chat template + self.eos += ["\n```\n"] + + print(f"{self.eos = }") + self.model = AutoModelForCausalLM.from_pretrained(name, **kwargs) + self.model = self.model.to(self.device) + + def is_direct_completion(self) -> bool: + return self.force_base_prompt or self.tokenizer.chat_template is None + + @torch.inference_mode() + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if self.temperature == 0: + assert not do_sample + assert num_samples == 1 + + prompt = ( + prompt + if self.is_direct_completion() + else make_raw_chat_prompt( + prompt, self.instruction_prefix, self.response_prefix, self.tokenizer + ) + ) + input_tokens = self.tokenizer.encode(prompt, return_tensors="pt").to( + self.device + ) + kwargs = {} + if do_sample: + kwargs["top_p"] = 0.95 + kwargs["temperature"] = self.temperature + + outputs = self.model.generate( + input_tokens, + max_new_tokens=self.max_new_tokens, + do_sample=do_sample, + num_return_sequences=min(self.batch_size, num_samples), + pad_token_id=self.tokenizer.pad_token_id or self.tokenizer.eos_token_id, + stop_strings=self.eos, + tokenizer=self.tokenizer, + **kwargs, + ) + + gen_strs = self.tokenizer.batch_decode( + outputs[:, input_tokens.size(-1) :], + skip_special_tokens=self.skip_special_tokens, + ) + outputs = [] + # removes eos tokens. + for output in gen_strs: + min_index = 10000 + for eos in self.eos: + if eos in output: + min_index = min(min_index, output.index(eos)) + outputs.append(output[:min_index].replace("\t", " ")) + return outputs diff --git a/evalplus/evalplus/provider/openai.py b/evalplus/evalplus/provider/openai.py new file mode 100644 index 0000000000000000000000000000000000000000..4131bebaea86a672f31d2aa0bb4c00dbe1471c66 --- /dev/null +++ b/evalplus/evalplus/provider/openai.py @@ -0,0 +1,57 @@ +import os +from typing import List + +import openai + +from evalplus.gen.util import openai_request +from evalplus.provider.base import DecoderBase +from evalplus.provider.utility import concurrent_call + + +class OpenAIChatDecoder(DecoderBase): + def __init__(self, name: str, base_url=None, **kwargs) -> None: + super().__init__(name, **kwargs) + self.base_url = base_url + + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if do_sample: + assert self.temperature > 0, "Temperature must be positive for sampling" + batch_size = min(self.batch_size, num_samples) + prompt = self.instruction_prefix + f"\n```python\n{prompt.strip()}\n```" + + # use concurrency based batching for o1 and deepseek models + if self.name.startswith("o1-") or self.name == "deepseek-chat": + return self._codegen_batch_via_concurrency(prompt, num_samples) + + return self._codegen_api_batch(prompt, batch_size) + + def _codegen_api_batch(self, prompt: str, batch_size: int) -> List[str]: + client = openai.OpenAI( + api_key=os.getenv("OPENAI_API_KEY", "none"), base_url=self.base_url + ) + + ret = openai_request.make_auto_request( + client, + message=prompt, + model=self.name, + max_tokens=self.max_new_tokens, + temperature=self.temperature, + n=batch_size, + ) + + outputs = [] + for item in ret.choices: + outputs.append(item.message.content) + + return outputs + + def _codegen_batch_via_concurrency(self, prompt: str, batch_size: int) -> List[str]: + batches = concurrent_call( + batch_size, self._codegen_api_batch, prompt, batch_size=1 + ) + return [b[0] for b in batches] + + def is_direct_completion(self) -> bool: + return False diff --git a/evalplus/evalplus/provider/utility.py b/evalplus/evalplus/provider/utility.py new file mode 100644 index 0000000000000000000000000000000000000000..562a8b5a73f4e1a22f02b1c92659ef4e20fa8c6f --- /dev/null +++ b/evalplus/evalplus/provider/utility.py @@ -0,0 +1,64 @@ +from concurrent.futures import ThreadPoolExecutor +from typing import List + +EOS = [ + "<|endoftext|>", + "<|endofmask|>", + "", + "\nif __name__", + "\ndef main(", + "\nprint(", +] + + +def extra_eos_for_direct_completion(dataset) -> List[str]: + if dataset.lower() == "humaneval": + return ["\ndef ", "\nclass ", "\nimport ", "\nfrom ", "\nassert "] + elif dataset.lower() == "mbpp": + return ['\n"""', "\nassert"] + raise ValueError(f"Unknown dataset: {dataset}") + + +# some random words which serves as the splitter +_MAGIC_SPLITTER_ = "-[[]]-this-is-really-our-highest-priority-[[]]-" + + +def make_raw_chat_prompt( + task_prompt: str, + instruction_prefix: str, + response_prefix: str, + tokenizer, +) -> str: + # directly return prompt if it does not have a tokenizer.chat_template + if tokenizer.chat_template is None: + return task_prompt + + assert instruction_prefix is not None, "Instruction prefix is required!" + assert response_prefix is not None, "Response prefix is required!" + + task_prompt = f"""\ +{instruction_prefix} +``` +{task_prompt.strip()} +``` +""" + response = f"""\ +{response_prefix} +```python +{_MAGIC_SPLITTER_} +``` +""" + task_prompt = tokenizer.apply_chat_template( + [ + {"role": "user", "content": task_prompt}, + {"role": "assistant", "content": response}, + ], + tokenize=False, + ).split(_MAGIC_SPLITTER_)[0] + return task_prompt + + +def concurrent_call(n, callback, /, *args, **kwargs): + with ThreadPoolExecutor(max_workers=n) as executor: + futures = [executor.submit(callback, *args, **kwargs) for _ in range(n)] + return [future.result() for future in futures] diff --git a/evalplus/evalplus/provider/vllm.py b/evalplus/evalplus/provider/vllm.py new file mode 100644 index 0000000000000000000000000000000000000000..18a5b8012996da2d56971093136d7d6eb53a5e35 --- /dev/null +++ b/evalplus/evalplus/provider/vllm.py @@ -0,0 +1,79 @@ +from typing import List + +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams + +from evalplus.provider.base import DecoderBase +from evalplus.provider.utility import ( + extra_eos_for_direct_completion, + make_raw_chat_prompt, +) + + +class VllmDecoder(DecoderBase): + def __init__( + self, + name: str, + dataset: str, + force_base_prompt: bool = False, + tensor_parallel_size: int = 1, + enable_prefix_caching=False, + enable_chunked_prefill=False, + gguf_file: str = None, + **kwargs + ) -> None: + super().__init__(name, **kwargs) + + kwargs = { + "tensor_parallel_size": tensor_parallel_size, + "dtype": self.dtype, + "trust_remote_code": self.trust_remote_code, + "enable_prefix_caching": enable_prefix_caching, + "enable_chunked_prefill": enable_chunked_prefill, + } + + self.force_base_prompt = force_base_prompt + # gguf format embeds tokenizer and is not compatible with hf tokenizer `use_fast` param + tokenizer_kwargs = {} + if gguf_file is None: + tokenizer_kwargs["use_fast"] = False + else: + tokenizer_kwargs["gguf_file"] = gguf_file + self.tokenizer = AutoTokenizer.from_pretrained(self.name, **tokenizer_kwargs) + if self.is_direct_completion(): + self.eos += extra_eos_for_direct_completion(dataset) + else: + self.eos += ["\n```\n"] + self.llm = LLM(model=name, max_model_len=2048, **kwargs) + + def is_direct_completion(self) -> bool: + return self.force_base_prompt or self.tokenizer.chat_template is None + + def codegen( + self, prompt: str, do_sample: bool = True, num_samples: int = 200 + ) -> List[str]: + if do_sample: + assert self.temperature > 0, "Temperature must be greater than 0!" + batch_size = min(self.batch_size, num_samples) + + prompt = ( + prompt + if self.is_direct_completion() + else make_raw_chat_prompt( + prompt, self.instruction_prefix, self.response_prefix, self.tokenizer + ) + ) + + vllm_outputs = self.llm.generate( + [prompt] * batch_size, + SamplingParams( + temperature=self.temperature, + max_tokens=self.max_new_tokens, + top_p=0.95 if do_sample else 1.0, + stop=self.eos, + ), + use_tqdm=False, + ) + + gen_strs = [x.outputs[0].text.replace("\t", " ") for x in vllm_outputs] + return gen_strs diff --git a/evalplus/evalplus/sanitize.py b/evalplus/evalplus/sanitize.py new file mode 100644 index 0000000000000000000000000000000000000000..bd283c935b9cffafc8b60c42a124b6ff882e0b68 --- /dev/null +++ b/evalplus/evalplus/sanitize.py @@ -0,0 +1,253 @@ +"""Post-processing LLM-generated Python code implemented using tree-sitter.""" + +import os +import pathlib +from typing import Dict, Generator, List, Optional, Set, Tuple + +import tree_sitter_python +from tqdm import tqdm +from tree_sitter import Language, Node, Parser + +from evalplus.data import ( + get_human_eval_plus, + get_mbpp_plus, + load_solutions, + write_directory, + write_jsonl, +) +from evalplus.syncheck import syntax_check + +CLASS_TYPE = "class_definition" +FUNCTION_TYPE = "function_definition" +IMPORT_TYPE = ["import_statement", "import_from_statement"] +IDENTIFIER_TYPE = "identifier" +ATTRIBUTE_TYPE = "attribute" +RETURN_TYPE = "return_statement" +EXPRESSION_TYPE = "expression_statement" +ASSIGNMENT_TYPE = "assignment" + + +def code_extract(text: str) -> str: + lines = text.split("\n") + longest_line_pair = (0, 0) + longest_so_far = 0 + + for i in range(len(lines)): + for j in range(i + 1, len(lines)): + current_lines = "\n".join(lines[i : j + 1]) + if syntax_check(current_lines): + current_length = sum(1 for line in lines[i : j + 1] if line.strip()) + if current_length > longest_so_far: + longest_so_far = current_length + longest_line_pair = (i, j) + + return "\n".join(lines[longest_line_pair[0] : longest_line_pair[1] + 1]) + + +def get_deps(nodes: List[Tuple[str, Node]]) -> Dict[str, Set[str]]: + def dfs_get_deps(node: Node, deps: Set[str]) -> None: + for child in node.children: + if child.type == IDENTIFIER_TYPE: + deps.add(child.text.decode("utf8")) + else: + dfs_get_deps(child, deps) + + name2deps = {} + for name, node in nodes: + deps = set() + dfs_get_deps(node, deps) + name2deps[name] = deps + return name2deps + + +def get_function_dependency(entrypoint: str, call_graph: Dict[str, str]) -> Set[str]: + queue = [entrypoint] + visited = {entrypoint} + while queue: + current = queue.pop(0) + if current not in call_graph: + continue + for neighbour in call_graph[current]: + if not (neighbour in visited): + visited.add(neighbour) + queue.append(neighbour) + return visited + + +def get_definition_name(node: Node) -> str: + for child in node.children: + if child.type == IDENTIFIER_TYPE: + return child.text.decode("utf8") + + +def traverse_tree(node: Node) -> Generator[Node, None, None]: + cursor = node.walk() + depth = 0 + + visited_children = False + while True: + if not visited_children: + yield cursor.node + if not cursor.goto_first_child(): + depth += 1 + visited_children = True + elif cursor.goto_next_sibling(): + visited_children = False + elif not cursor.goto_parent() or depth == 0: + break + else: + depth -= 1 + + +def has_return_statement(node: Node) -> bool: + traverse_nodes = traverse_tree(node) + for node in traverse_nodes: + if node.type == RETURN_TYPE: + return True + return False + + +def extract_target_code_or_empty(code: str, entrypoint: Optional[str] = None) -> str: + code = code_extract(code) + code_bytes = bytes(code, "utf8") + parser = Parser(Language(tree_sitter_python.language())) + tree = parser.parse(code_bytes) + class_names = set() + function_names = set() + variable_names = set() + + root_node = tree.root_node + import_nodes = [] + definition_nodes = [] + + for child in root_node.children: + if child.type in IMPORT_TYPE: + import_nodes.append(child) + elif child.type == CLASS_TYPE: + name = get_definition_name(child) + if not ( + name in class_names or name in variable_names or name in function_names + ): + definition_nodes.append((name, child)) + class_names.add(name) + elif child.type == FUNCTION_TYPE: + name = get_definition_name(child) + if not ( + name in function_names or name in variable_names or name in class_names + ) and has_return_statement(child): + definition_nodes.append((name, child)) + function_names.add(get_definition_name(child)) + elif ( + child.type == EXPRESSION_TYPE and child.children[0].type == ASSIGNMENT_TYPE + ): + subchild = child.children[0] + name = get_definition_name(subchild) + if not ( + name in variable_names or name in function_names or name in class_names + ): + definition_nodes.append((name, subchild)) + variable_names.add(name) + + if entrypoint: + name2deps = get_deps(definition_nodes) + reacheable = get_function_dependency(entrypoint, name2deps) + + sanitized_output = b"" + + for node in import_nodes: + sanitized_output += code_bytes[node.start_byte : node.end_byte] + b"\n" + + for pair in definition_nodes: + name, node = pair + if entrypoint and not (name in reacheable): + continue + sanitized_output += code_bytes[node.start_byte : node.end_byte] + b"\n" + return sanitized_output[:-1].decode("utf8") + + +def sanitize(code: str, entrypoint: Optional[str] = None) -> str: + sanitized_code = extract_target_code_or_empty(code, entrypoint).strip() + if not sanitized_code: + return code_extract(code) + return sanitized_code + + +def script( + samples: str, inplace: bool = False, debug_task: str = None, mbpp_version="default" +): + # task_id -> entry_point + entry_point = {} + # merge two datasets + dataset = {**get_human_eval_plus(), **get_mbpp_plus(version=mbpp_version)} + + for task_id, problem in dataset.items(): + entry_point[task_id] = problem["entry_point"] + + # make a new folder with "-sanitized" suffix + is_folder = os.path.isdir(samples) + target_path = pathlib.Path(samples) + if not inplace: + if is_folder: + new_name = target_path.name + "-sanitized" + else: + new_name = target_path.name.replace(".jsonl", "-sanitized.jsonl") + target_path = target_path.parent / new_name + target_path = str(target_path) + + nsan = 0 + ntotal = 0 + + new_solutions = [] + + for solution in tqdm(load_solutions(samples)): + task_id = solution["task_id"] + if task_id not in dataset: + print( + f"Skiping {task_id} as it does not existing in the latest EvalPlus dataset." + ) + continue + + function_name = entry_point[task_id] if task_id in entry_point else None + dbg_identifier = solution["_identifier"] + if debug_task is not None and task_id != debug_task: + continue + + ntotal += 1 + if "solution" in solution: + old_code = solution["solution"] + else: + assert "completion" in solution + old_code = dataset[task_id]["prompt"] + "\n" + solution["completion"] + + new_code = sanitize(code=old_code, entrypoint=function_name) + + # if changed, print the message + if new_code != old_code: + msg = "Sanitized: " + dbg_identifier + if is_folder: + msg += " -> " + dbg_identifier.replace(samples, target_path) + print(msg) + nsan += 1 + + new_solutions.append({"task_id": task_id, "solution": new_code}) + + if is_folder: + write_directory(target_path, new_solutions) + else: + write_jsonl(target_path, new_solutions) + + if nsan > 0: + print(f"Sanitized {nsan} out of {ntotal} files.") + else: + print(f"All files seems valid -- no files are sanitized.") + print(f"Check the sanitized files at {target_path}") + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/evalplus/syncheck.py b/evalplus/evalplus/syncheck.py new file mode 100644 index 0000000000000000000000000000000000000000..62274ff448e453dd132e635c9061c39cc8f3f44a --- /dev/null +++ b/evalplus/evalplus/syncheck.py @@ -0,0 +1,118 @@ +"""This file checks two things: +1. Is the LLMs codegen completed for each benchmark? +2. Warn the code that are not compilable (it could be some impl issues). +""" + +import ast +import traceback + +from termcolor import colored + +from evalplus.data import load_solutions + + +def syntax_check(code, verbose=False): + try: + ast.parse(code) + return True + except (SyntaxError, MemoryError): + if verbose: + traceback.print_exc() + return False + + +def script( + samples: str, dataset: str, nsample_check: int = None, verbose: bool = False +): + # List[Dict{"task_id", "solution"}] + solutions = load_solutions(samples) + + if dataset == "humaneval": + from evalplus.data import get_human_eval_plus + + dataset = get_human_eval_plus() + dataset_name = "HumanEval" + elif dataset == "mbpp": + from evalplus.data import get_mbpp_plus + + dataset = get_mbpp_plus() + dataset_name = "Mbpp" + + print(colored(f"Dataset: {dataset_name}", "blue")) + + id2solutions = {} + for solution in solutions: + task_id = solution["task_id"] + if task_id not in id2solutions: + id2solutions[task_id] = [] + if "solution" not in solution: + assert "completion" in solution, "solution or completion must exist!" + solution["solution"] = dataset[task_id]["prompt"] + solution["completion"] + id2solutions[task_id].append(solution) + + print(colored("==============================", "blue")) + print(colored(" ::: Checking completeness... ", "blue")) + print(colored(" ::::: All tasks complete? ", "blue")) + ndone = 0 + + task_ids = dataset.keys() + ntask = len(task_ids) + for task_id in task_ids: + if task_id not in id2solutions: + print(colored(f" ⚠️ {task_id} is missing!", "red")) + continue + nfiles = len(id2solutions[task_id]) + + if nsample_check is None or nfiles <= nsample_check: + ndone += 1 + continue + + print( + colored( + f" ⚠️ {task_id} only has {nfiles} samples! But {nsample_check} are expected.", + "red", + ) + ) + + # check if there is enough number of samples here. + if nsample_check is not None: + if ntask != ndone: + ntbd = ntask - ndone + print(colored(f" ::::: ⚠️ {ntbd}/{ntask} tasks incomplete!", "red")) + else: + print(colored(f" ::::: All {ntask} tasks complete!", "green")) + + print(colored("==============================", "blue")) + print(colored(" ::: Checking compilation... ", "blue")) + print(colored(" ::::: All code compilable? ", "blue")) + ncode = 0 + nwrong = 0 + for task_id in task_ids: + # task_id must exist + if task_id not in id2solutions: + continue + + for solution in id2solutions[task_id]: + ncode += 1 + code = solution["solution"] + dbg_identifier = solution["_identifier"] + if code.strip() == "": + print(colored(f" ⚠️ {dbg_identifier} is empty!", "red")) + nwrong += 1 + elif not syntax_check(code, verbose): + print(colored(f" ⚠️ {dbg_identifier} is not compilable!", "red")) + nwrong += 1 + if 0 != nwrong: + print(colored(f" ::::: ⚠️ {nwrong}/{ncode} code are not compilable!", "red")) + else: + print(colored(f" ::::: All {ncode} code are compilable!", "green")) + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/evalplus/utils.py b/evalplus/evalplus/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..685cd591450d0767bf8f7a374ee6410e5b407ffb --- /dev/null +++ b/evalplus/evalplus/utils.py @@ -0,0 +1,17 @@ +from rich.progress import ( + BarColumn, + MofNCompleteColumn, + Progress, + TextColumn, + TimeElapsedColumn, +) + + +def progress(note: str = "processing"): + return Progress( + TextColumn(f"{note} •" + "[progress.percentage]{task.percentage:>3.0f}%"), + BarColumn(), + MofNCompleteColumn(), + TextColumn("•"), + TimeElapsedColumn(), + ) diff --git a/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.eval_results.json b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..9eee552341fae879958e2da41e67cf8d2fc82f3a --- /dev/null +++ b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.eval_results.json @@ -0,0 +1 @@ +{"date": "2025-01-13 03:38", "hash": "fe585eb4df8c88d844eeb463ea4d0302", "eval": {"HumanEval/5": [{"task_id": "HumanEval/5", "solution": "from typing import List\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n \"\"\" Insert a number 'delimeter' between every two consecutive elements of input list `numbers'\n >>> intersperse([], 4)\n []\n >>> intersperse([1, 2, 3], 4)\n [1, 4, 2, 4, 3]\n \"\"\"\n result = []\n for i in range(len(numbers)):\n result.append(numbers[i])\n if i < len(numbers) - 1:\n result.append(delimeter)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/3": [{"task_id": "HumanEval/3", "solution": "from typing import List\ndef below_zero(operations: List[int]) -> bool:\n balance = 0\n for operation in operations:\n balance += operation\n if balance < 0:\n return True\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/1": [{"task_id": "HumanEval/1", "solution": "from typing import List\ndef separate_paren_groups(paren_string: str) -> List[str]:\n paren_string = paren_string.replace(\" \", \"\") # Remove spaces\n stack = []\n groups = []\n current_group = \"\"\n for char in paren_string:\n if char == \"(\":\n if current_group:\n stack.append(current_group)\n current_group = \"\"\n stack.append(char)\n elif char == \")\":\n stack.append(char)\n current_group = \"\".join(stack[-2:])\n if stack.count(\"(\") == stack.count(\")\"):\n groups.append(current_group)\n stack = []\n current_group = \"\"\n else:\n raise ValueError(\"Invalid character in input string\")\n if stack:\n raise ValueError(\"Unbalanced parentheses in input string\")\n return groups", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["(()()) ((())) () ((())()())"]], "plus_fail_tests": [["(())"]]}], "HumanEval/8": [{"task_id": "HumanEval/8", "solution": "from typing import List, Tuple\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"\"\" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.\n Empty sum should be equal to 0 and empty product should be equal to 1.\n >>> sum_product([])\n (0, 1)\n >>> sum_product([1, 2, 3, 4])\n (10, 24)\n \"\"\"\n sum_numbers = 0\n product_numbers = 1\n for num in numbers:\n sum_numbers += num\n product_numbers *= num\n return (sum_numbers, product_numbers)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/2": [{"task_id": "HumanEval/2", "solution": "def truncate_number(number: float) -> float:\n \"\"\" Given a positive floating point number, it can be decomposed into\n and integer part (largest integer smaller than given number) and decimals\n (leftover part always smaller than 1).\n\n Return the decimal part of the number.\n \"\"\"\n # Using the modulus operator to get the decimal part of the number\n return number % 1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/4": [{"task_id": "HumanEval/4", "solution": "from typing import List\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\" For a given list of input numbers, calculate Mean Absolute Deviation\n around the mean of this dataset.\n Mean Absolute Deviation is the average absolute difference between each\n element and a centerpoint (mean in this case):\n MAD = average | x - x_mean |\n >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])\n 1.0\n \"\"\"\n mean = sum(numbers) / len(numbers)\n abs_diffs = [abs(x - mean) for x in numbers]\n mad = sum(abs_diffs) / len(abs_diffs)\n return mad", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/7": [{"task_id": "HumanEval/7", "solution": "from typing import List\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that contain given substring\n >>> filter_by_substring([], 'a')\n []\n >>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')\n ['abc', 'bacd', 'array']\n \"\"\"\n return [s for s in strings if substring in s]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/6": [{"task_id": "HumanEval/6", "solution": "from typing import List\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.\n For each of the group, output the deepest level of nesting of parentheses.\n E.g. (()()) has maximum two levels of nesting while ((())) has three.\n\n >>> parse_nested_parens('(()()) ((())) () ((())()())')\n [2, 3, 1, 3]\n \"\"\"\n # Split the string into groups of parentheses\n groups = paren_string.split()\n\n # Initialize an empty list to store the maximum depth of each group\n max_depths = []\n\n # Iterate over each group\n for group in groups:\n # Initialize a counter for the current depth and the maximum depth\n current_depth = 0\n max_depth = 0\n\n # Iterate over each character in the group\n for char in group:\n # If the character is an opening parenthesis, increment the current depth\n if char == '(':\n current_depth += 1\n # If the current depth is greater than the maximum depth, update the maximum depth\n if current_depth > max_depth:\n max_depth = current_depth\n # If the character is a closing parenthesis, decrement the current depth\n elif char == ')':\n current_depth -= 1\n\n # Append the maximum depth to the list of maximum depths\n max_depths.append(max_depth)\n\n return max_depths", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/11": [{"task_id": "HumanEval/11", "solution": "from typing import List\ndef string_xor(a: str, b: str) -> str:\n \"\"\" Input are two strings a and b consisting only of 1s and 0s.\n Perform binary XOR on these inputs and return result also as a string.\n >>> string_xor('010', '110')\n '100'\n \"\"\"\n # Ensure both strings are of the same length\n max_len = max(len(a), len(b))\n a = a.zfill(max_len)\n b = b.zfill(max_len)\n\n # Perform XOR operation\n result = ''\n for i in range(max_len):\n result += str(int(a[i]) ^ int(b[i]))\n\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/12": [{"task_id": "HumanEval/12", "solution": "from typing import List, Optional\ndef longest(strings: List[str]) -> Optional[str]:\n if not strings:\n return None\n longest_string = strings[0]\n for string in strings:\n if len(string) > len(longest_string):\n longest_string = string\n return longest_string", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/9": [{"task_id": "HumanEval/9", "solution": "from typing import List, Tuple\ndef rolling_max(numbers: List[int]) -> List[int]:\n if not numbers:\n return []\n\n max_nums = [numbers[0]]\n for i in range(1, len(numbers)):\n max_nums.append(max(max_nums[i-1], numbers[i]))\n\n return max_nums", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/0": [{"task_id": "HumanEval/0", "solution": "from typing import List\ndef has_close_elements(numbers: List[float], threshold: float) -> bool:\n \"\"\" Check if in given list of numbers, are any two numbers closer to each other than\n given threshold.\n \"\"\"\n numbers.sort()\n for i in range(1, len(numbers)):\n if numbers[i] - numbers[i - 1] < threshold:\n return True\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/10": [{"task_id": "HumanEval/10", "solution": "def is_palindrome(string: str) -> bool:\n \"\"\" Test if given string is a palindrome \"\"\"\n return string == string[::-1]\ndef make_palindrome(string: str) -> str:\n \"\"\" Find the shortest palindrome that begins with a supplied string.\n Algorithm idea is simple:\n - Find the longest postfix of supplied string that is a palindrome.\n - Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.\n >>> make_palindrome('')\n ''\n >>> make_palindrome('cat')\n 'catac'\n >>> make_palindrome('cata')\n 'catac'\n \"\"\"\n if is_palindrome(string):\n return string\n\n for i in range(len(string)):\n if is_palindrome(string[i:]):\n return string + string[:i][::-1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/13": [{"task_id": "HumanEval/13", "solution": "def greatest_common_divisor(a: int, b: int) -> int:\n \"\"\" Return a greatest common divisor of two integers a and b\n >>> greatest_common_divisor(3, 5)\n 1\n >>> greatest_common_divisor(25, 15)\n 5\n \"\"\"\n while b != 0:\n a, b = b, a % b\n return a", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/14": [{"task_id": "HumanEval/14", "solution": "from typing import List\ndef all_prefixes(string: str) -> List[str]:\n \"\"\" Return list of all prefixes from shortest to longest of the input string\n >>> all_prefixes('abc')\n ['a', 'ab', 'abc']\n \"\"\"\n return [string[i:] for i in range(len(string))]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["asdfgh"]], "plus_fail_tests": [["Hello there!"]]}], "HumanEval/16": [{"task_id": "HumanEval/16", "solution": "def count_distinct_characters(string: str) -> int:\n \"\"\" Given a string, find out how many distinct characters (regardless of case) does it consist of\n >>> count_distinct_characters('xyzXYZ')\n 3\n >>> count_distinct_characters('Jerry')\n 4\n \"\"\"\n return len(set(string.lower()))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/32": [{"task_id": "HumanEval/32", "solution": "import math\ndef find_zero(xs: list):\n \"\"\" xs are coefficients of a polynomial.\n find_zero find x such that poly(x) = 0.\n find_zero returns only only zero point, even if there are many.\n Moreover, find_zero only takes list xs having even number of coefficients\n and largest non zero coefficient as it guarantees\n a solution.\n \"\"\"\n if len(xs) % 2 == 0:\n return -xs[-1] / xs[-2]\n else:\n raise ValueError(\"The list of coefficients must have an even number of elements.\")", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-10, -2]]], "plus_fail_tests": [[[5, 10, -3, 1]]]}], "HumanEval/20": [{"task_id": "HumanEval/20", "solution": "from typing import List, Tuple\ndef find_closest_elements(numbers: List[float]) -> Tuple[float, float]:\n \"\"\" From a supplied list of numbers (of length at least two) select and return two that are the closest to each\n other and return them in order (smaller number, larger number).\n \"\"\"\n numbers.sort()\n min_diff = float('inf')\n result = (0, 0)\n for i in range(1, len(numbers)):\n diff = numbers[i] - numbers[i - 1]\n if diff < min_diff:\n min_diff = diff\n result = (numbers[i - 1], numbers[i])\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/21": [{"task_id": "HumanEval/21", "solution": "from typing import List\ndef rescale_to_unit(numbers: List[float]) -> List[float]:\n min_num = min(numbers)\n max_num = max(numbers)\n range_num = max_num - min_num\n return [(num - min_num) / range_num for num in numbers]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/19": [{"task_id": "HumanEval/19", "solution": "from typing import List\ndef sort_numbers(numbers: str) -> str:\n \"\"\" Input is a space-delimited string of numberals from 'zero' to 'nine'.\n Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.\n Return the string with numbers sorted from smallest to largest\n >>> sort_numbers('three one five')\n 'one three five'\n \"\"\"\n num_dict = {'zero':0, 'one':1, 'two':2, 'three':3, 'four':4, 'five':5, 'six':6, 'seven':7, 'eight':8, 'nine':9}\n return ' '.join(sorted(numbers.split(), key=lambda x: num_dict[x]))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/26": [{"task_id": "HumanEval/26", "solution": "from typing import List\ndef remove_duplicates(numbers: List[int]) -> List[int]:\n \"\"\" From a list of integers, remove all elements that occur more than once.\n Keep order of elements left the same as in the input.\n >>> remove_duplicates([1, 2, 3, 2, 4])\n [1, 3, 4]\n \"\"\"\n result = []\n seen = set()\n for num in numbers:\n if num not in seen:\n seen.add(num)\n result.append(num)\n return result", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 3, 2, 4, 3, 5]]], "plus_fail_tests": [[[1, 1, 2, 2, 3, 3, 4, 4]]]}], "HumanEval/23": [{"task_id": "HumanEval/23", "solution": "def strlen(string: str) -> int:\n \"\"\" Return length of given string\n >>> strlen('')\n 0\n >>> strlen('abc')\n 3\n \"\"\"\n return len(string)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/30": [{"task_id": "HumanEval/30", "solution": "def get_positive(l: list):\n \"\"\"Return only positive numbers in the list.\n >>> get_positive([-1, 2, -4, 5, 6])\n [2, 5, 6]\n >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n [5, 3, 2, 3, 9, 123, 1]\n \"\"\"\n return [n for n in l if n > 0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/17": [{"task_id": "HumanEval/17", "solution": "from typing import List\ndef parse_music(music_string: str) -> List[int]:\n notes = music_string.split()\n beats = []\n for note in notes:\n if note == 'o':\n beats.append(4)\n elif note == 'o|':\n beats.append(2)\n elif note == '.|':\n beats.append(1)\n return beats", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/27": [{"task_id": "HumanEval/27", "solution": "def flip_case(string: str) -> str:\n \"\"\" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.\n >>> flip_case('Hello')\n 'hELLO'\n \"\"\"\n return ''.join([char.upper() if char.islower() else char.lower() for char in string])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/22": [{"task_id": "HumanEval/22", "solution": "from typing import List, Any\ndef filter_integers(values: List[Any]) -> List[int]:\n \"\"\" Filter given list of any python values only for integers\n >>> filter_integers(['a', 3.14, 5])\n [5]\n >>> filter_integers([1, 2, 3, 'abc', {}, []])\n [1, 2, 3]\n \"\"\"\n return [value for value in values if isinstance(value, int)]", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[true, false, null, 0, -10, "test", [], {}, 3.14]]]}], "HumanEval/29": [{"task_id": "HumanEval/29", "solution": "from typing import List\ndef filter_by_prefix(strings: List[str], prefix: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that start with a given prefix.\n >>> filter_by_prefix([], 'a')\n []\n >>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')\n ['abc', 'array']\n \"\"\"\n return [s for s in strings if s.startswith(prefix)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/34": [{"task_id": "HumanEval/34", "solution": "def unique(l: list):\n \"\"\"Return sorted unique elements in a list\n >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [0, 2, 3, 5, 9, 123]\n \"\"\"\n return sorted(set(l))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/33": [{"task_id": "HumanEval/33", "solution": "def sort_third(l: list):\n \"\"\"This function takes a list l and returns a list l' such that\n l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal\n to the values of the corresponding indicies of l, but sorted.\n >>> sort_third([1, 2, 3])\n [1, 2, 3]\n >>> sort_third([5, 6, 3, 4, 8, 9, 2])\n [2, 6, 3, 4, 8, 9, 5]\n \"\"\"\n divisible_by_three = [(i, v) for i, v in enumerate(l) if i % 3 == 0]\n sorted_values = sorted(v for _, v in divisible_by_three)\n l_prime = list(l)\n for (i, _), sorted_value in zip(divisible_by_three, sorted_values):\n l_prime[i] = sorted_value\n return l_prime", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/18": [{"task_id": "HumanEval/18", "solution": "def how_many_times(string: str, substring: str) -> int:\n count = start = 0\n while start < len(string):\n pos = string.find(substring, start)\n if pos != -1:\n start = pos + 1\n count += 1\n else:\n break\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/31": [{"task_id": "HumanEval/31", "solution": "def is_prime(n):\n \"\"\"Return true if a given number is prime, and false otherwise.\n \"\"\"\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/28": [{"task_id": "HumanEval/28", "solution": "from typing import List\ndef concatenate(strings: List[str]) -> str:\n \"\"\" Concatenate list of strings into a single string\n >>> concatenate([])\n ''\n >>> concatenate(['a', 'b', 'c'])\n 'abc'\n \"\"\"\n return ''.join(strings)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/35": [{"task_id": "HumanEval/35", "solution": "def max_element(l: list):\n \"\"\"Return maximum element in the list.\n >>> max_element([1, 2, 3])\n 3\n >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n 123\n \"\"\"\n return max(l)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/46": [{"task_id": "HumanEval/46", "solution": "def fib4(n: int) -> int:\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n elif n == 3:\n return 0\n else:\n a, b, c, d = 0, 0, 2, 0\n for _ in range(n - 4):\n a, b, c, d = b, c, d, a + b + c + d\n return d", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[5]], "plus_fail_tests": [[4]]}], "HumanEval/44": [{"task_id": "HumanEval/44", "solution": "def change_base(x: int, base: int) -> str:\n \"\"\"Change numerical base of input number x to base.\n return string representation after the conversion.\n base numbers are less than 10.\n \"\"\"\n if x < base:\n return str(x)\n else:\n return change_base(x // base, base) + str(x % base)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/41": [{"task_id": "HumanEval/41", "solution": "def car_race_collision(n: int) -> int:\n \"\"\"\n Imagine a road that's a perfectly straight infinitely long line.\n n cars are driving left to right; simultaneously, a different set of n cars\n are driving right to left. The two sets of cars start out being very far from\n each other. All cars move in the same speed. Two cars are said to collide\n when a car that's moving left to right hits a car that's moving right to left.\n However, the cars are infinitely sturdy and strong; as a result, they continue moving\n in their trajectory as if they did not collide.\n\n This function outputs the number of such collisions.\n \"\"\"\n if n < 2:\n return 0\n else:\n return n * (n - 1) // 2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[2]], "plus_fail_tests": [[5]]}], "HumanEval/37": [{"task_id": "HumanEval/37", "solution": "def sort_even(l: list):\n even_indices_values = sorted([l[i] for i in range(0, len(l), 2)])\n l_prime = l[:]\n for i in range(0, len(l), 2):\n l_prime[i] = even_indices_values.pop(0)\n return l_prime", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/47": [{"task_id": "HumanEval/47", "solution": "def median(l: list):\n \"\"\"Return median of elements in the list l.\n >>> median([3, 1, 2, 4, 5])\n 3\n >>> median([-10, 4, 6, 1000, 10, 20])\n 15.0\n \"\"\"\n l.sort()\n n = len(l)\n if n % 2 == 0:\n return (l[n//2 - 1] + l[n//2]) / 2\n else:\n return l[n//2]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/40": [{"task_id": "HumanEval/40", "solution": "def triples_sum_to_zero(l: list):\n \"\"\"\n triples_sum_to_zero takes a list of integers as an input.\n it returns True if there are three distinct elements in the list that\n sum to zero, and False otherwise.\n\n >>> triples_sum_to_zero([1, 3, 5, 0])\n False\n >>> triples_sum_to_zero([1, 3, -2, 1])\n True\n >>> triples_sum_to_zero([1, 2, 3, 7])\n False\n >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])\n True\n >>> triples_sum_to_zero([1])\n False\n \"\"\"\n l.sort()\n for i in range(len(l) - 2):\n left = i + 1\n right = len(l) - 1\n while left < right:\n current_sum = l[i] + l[left] + l[right]\n if current_sum == 0:\n return True\n elif current_sum < 0:\n left += 1\n else:\n right -= 1\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/38": [{"task_id": "HumanEval/38", "solution": "def decode_cyclic(s: str):\n \"\"\"\n takes as input string encoded with encode_cyclic function. Returns decoded string.\n \"\"\"\n # split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # un-cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[-1] + group[:-1]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/45": [{"task_id": "HumanEval/45", "solution": "def triangle_area(a, h):\n \"\"\"Given length of a side and high return area for a triangle.\n \"\"\"\n return 0.5 * a * h", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/48": [{"task_id": "HumanEval/48", "solution": "def is_palindrome(text: str) -> bool:\n \"\"\"\n Checks if given string is a palindrome\n >>> is_palindrome('')\n True\n >>> is_palindrome('aba')\n True\n >>> is_palindrome('aaaaa')\n True\n >>> is_palindrome('zbcd')\n False\n \"\"\"\n return text == text[::-1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/43": [{"task_id": "HumanEval/43", "solution": "def pairs_sum_to_zero(l):\n \"\"\"\n pairs_sum_to_zero takes a list of integers as an input.\n it returns True if there are two distinct elements in the list that\n sum to zero, and False otherwise.\n >>> pairs_sum_to_zero([1, 3, 5, 0])\n False\n >>> pairs_sum_to_zero([1, 3, -2, 1])\n False\n >>> pairs_sum_to_zero([1, 2, 3, 7])\n False\n >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])\n True\n >>> pairs_sum_to_zero([1])\n False\n \"\"\"\n seen = set()\n for num in l:\n if -num in seen:\n return True\n seen.add(num)\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/42": [{"task_id": "HumanEval/42", "solution": "def incr_list(l: list):\n \"\"\"Return list with elements incremented by 1.\n >>> incr_list([1, 2, 3])\n [2, 3, 4]\n >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [6, 4, 6, 3, 4, 4, 10, 1, 124]\n \"\"\"\n return [i+1 for i in l]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/49": [{"task_id": "HumanEval/49", "solution": "def modp(n: int, p: int) -> int:\n \"\"\"Return 2^n modulo p (be aware of numerics).\n \"\"\"\n return pow(2, n, p)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/50": [{"task_id": "HumanEval/50", "solution": "def decode_shift(s: str):\n \"\"\"\n takes as input string encoded with encode_shift function. Returns decoded string.\n \"\"\"\n return \"\".join([chr(((ord(ch) - ord(\"a\") - 5) % 26) + ord(\"a\")) for ch in s])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/51": [{"task_id": "HumanEval/51", "solution": "def remove_vowels(text):\n vowels = 'aeiouAEIOU'\n return ''.join([char for char in text if char not in vowels])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/52": [{"task_id": "HumanEval/52", "solution": "def below_threshold(l: list, t: int) -> bool:\n \"\"\"Return True if all numbers in the list l are below threshold t.\n >>> below_threshold([1, 2, 4, 10], 100)\n True\n >>> below_threshold([1, 20, 4, 10], 5)\n False\n \"\"\"\n for i in l:\n if i >= t:\n return False\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/54": [{"task_id": "HumanEval/54", "solution": "def same_chars(s0: str, s1: str) -> bool:\n \"\"\"\n Check if two words have the same characters.\n \"\"\"\n return sorted(s0) == sorted(s1)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["eabcdzzzz", "dddzzzzzzzddeddabc"]], "plus_fail_tests": [["aaabbbccc", "abbabcbc"]]}], "HumanEval/55": [{"task_id": "HumanEval/55", "solution": "def fib(n: int):\n \"\"\"Return n-th Fibonacci number.\n >>> fib(10)\n 55\n >>> fib(1)\n 1\n >>> fib(8)\n 21\n \"\"\"\n if n <= 0:\n return \"Input should be a positive integer.\"\n elif n == 1:\n return 1\n elif n == 2:\n return 1\n else:\n a, b = 1, 1\n for _ in range(2, n):\n a, b = b, a + b\n return b", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[0]]}], "HumanEval/57": [{"task_id": "HumanEval/57", "solution": "def monotonic(l: list):\n \"\"\"Return True is list elements are monotonically increasing or decreasing.\n >>> monotonic([1, 2, 4, 20])\n True\n >>> monotonic([1, 20, 4, 10])\n False\n >>> monotonic([4, 1, 0, -10])\n True\n \"\"\"\n return all(l[i] <= l[i + 1] for i in range(len(l) - 1)) or all(l[i] >= l[i + 1] for i in range(len(l) - 1))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/59": [{"task_id": "HumanEval/59", "solution": "def largest_prime_factor(n: int):\n \"\"\"Return the largest prime factor of n. Assume n > 1 and is not a prime.\n \"\"\"\n i = 2\n while i * i <= n:\n if n % i:\n i += 1\n else:\n n //= i\n return n", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/56": [{"task_id": "HumanEval/56", "solution": "def correct_bracketing(brackets: str):\n stack = []\n for bracket in brackets:\n if bracket == \"<\":\n stack.append(bracket)\n elif bracket == \">\":\n if not stack or stack[-1] != \"<\":\n return False\n stack.pop()\n return not stack", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/61": [{"task_id": "HumanEval/61", "solution": "def correct_bracketing(brackets: str):\n stack = []\n for bracket in brackets:\n if bracket == \"(\":\n stack.append(bracket)\n elif bracket == \")\":\n if not stack:\n return False\n stack.pop()\n return not stack", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/63": [{"task_id": "HumanEval/63", "solution": "def fibfib(n: int):\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 1\n else:\n fibfib_values = [0, 0, 1]\n for i in range(3, n+1):\n fibfib_values.append(fibfib_values[-1] + fibfib_values[-2] + fibfib_values[-3])\n return fibfib_values[-1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/53": [{"task_id": "HumanEval/53", "solution": "def add(x: int, y: int):\n \"\"\"Add two numbers x and y\n >>> add(2, 3)\n 5\n >>> add(5, 7)\n 12\n \"\"\"\n return x + y", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/58": [{"task_id": "HumanEval/58", "solution": "def common(l1: list, l2: list):\n \"\"\"Return sorted unique common elements for two lists.\n >>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])\n [1, 5, 653]\n >>> common([5, 3, 2, 8], [3, 2])\n [2, 3]\n\n \"\"\"\n return sorted(list(set(l1) & set(l2)))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/62": [{"task_id": "HumanEval/62", "solution": "def derivative(xs: list):\n \"\"\" xs represent coefficients of a polynomial.\n xs[0] + xs[1] * x + xs[2] * x^2 + ....\n Return derivative of this polynomial in the same form.\n >>> derivative([3, 1, 2, 4, 5])\n [1, 4, 12, 20]\n >>> derivative([1, 2, 3])\n [2, 6]\n \"\"\"\n # Skip the first coefficient as it's the constant term and its derivative is always 0\n return [i * xs[i] for i in range(1, len(xs))]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/64": [{"task_id": "HumanEval/64", "solution": "def vowels_count(s):\n vowels = \"aeiou\"\n count = 0\n for i in range(len(s)):\n if s[i].lower() in vowels:\n count += 1\n if s[i].lower() == 'y' and i == len(s) - 1:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/65": [{"task_id": "HumanEval/65", "solution": "def circular_shift(x, shift):\n \"\"\"Circular shift the digits of the integer x, shift the digits right by shift\n and return the result as a string.\n If shift > number of digits, return digits reversed.\n \"\"\"\n digits = list(str(x))\n if shift > len(digits):\n return ''.join(digits[::-1])\n else:\n return ''.join(digits[-shift:] + digits[:-shift])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/66": [{"task_id": "HumanEval/66", "solution": "def digitSum(s):\n \"\"\"\n This function takes a string as input and returns the sum of the ASCII codes of the uppercase characters in the string.\n \"\"\"\n return sum(ord(c) for c in s if c.isupper())", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/67": [{"task_id": "HumanEval/67", "solution": "def fruit_distribution(s,n):\n apples, oranges = map(int, s.split()[::2])\n return n - apples - oranges", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["5 apples and 6 oranges", 19]], "plus_fail_tests": [["10 apples and 20 oranges", 50]]}], "HumanEval/24": [{"task_id": "HumanEval/24", "solution": "def largest_divisor(n: int) -> int:\n \"\"\" For a given number n, find the largest number that divides n evenly, smaller than n\n >>> largest_divisor(15)\n 5\n \"\"\"\n for i in range(n-1, 0, -1):\n if n % i == 0:\n return i", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/75": [{"task_id": "HumanEval/75", "solution": "def is_multiply_prime(n):\n \"\"\"Write a function that returns true if the given number is the multiplication of 3 prime numbers\n and false otherwise.\n Knowing that (n) is less then 100. \n Example:\n is_multiply_prime(30) == True\n 30 = 2 * 3 * 5\n \"\"\"\n def is_prime(num):\n \"\"\"Helper function to check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n factors = []\n for i in range(2, n):\n if n % i == 0 and is_prime(i):\n factors.append(i)\n n //= i\n if len(factors) > 3:\n return False\n return len(factors) == 3 and is_prime(n)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[30]], "plus_fail_tests": [[99]]}], "HumanEval/79": [{"task_id": "HumanEval/79", "solution": "def decimal_to_binary(decimal):\n binary = bin(decimal)[2:]\n return 'db' + binary + 'db'", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/70": [{"task_id": "HumanEval/70", "solution": "def strange_sort_list(lst):\n lst.sort()\n result = []\n while lst:\n result.append(lst.pop(0)) # pop smallest\n if lst: # if there are still elements\n result.append(lst.pop()) # pop largest\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/74": [{"task_id": "HumanEval/74", "solution": "def total_match(lst1, lst2):\n sum1 = sum(len(word) for word in lst1)\n sum2 = sum(len(word) for word in lst2)\n if sum1 < sum2:\n return lst1\n elif sum2 < sum1:\n return lst2\n else:\n return lst1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/68": [{"task_id": "HumanEval/68", "solution": "def pluck(arr):\n even_nodes = [(i, val) for i, val in enumerate(arr) if val % 2 == 0]\n if not even_nodes:\n return []\n smallest_even_node = min(even_nodes, key=lambda x: (x[1], x[0]))\n return [smallest_even_node[1], smallest_even_node[0]]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/71": [{"task_id": "HumanEval/71", "solution": "import math\ndef triangle_area(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return the area of\n the triangle rounded to 2 decimal points if the three sides form a valid triangle. \n Otherwise return -1\n Three sides make a valid triangle when the sum of any two sides is greater \n than the third side.\n Example:\n triangle_area(3, 4, 5) == 6.00\n triangle_area(1, 2, 10) == -1\n '''\n # Check if the sides form a valid triangle\n if a + b > c and a + c > b and b + c > a:\n # Calculate the semi-perimeter\n s = (a + b + c) / 2\n # Calculate the area using Heron's formula\n area = math.sqrt(s * (s - a) * (s - b) * (s - c))\n return round(area, 2)\n else:\n return -1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/72": [{"task_id": "HumanEval/72", "solution": "def will_it_fly(q, w):\n # Check if the list is a palindrome\n if q != q[::-1]:\n return False\n # Check if the sum of the elements is less than or equal to the maximum possible weight\n if sum(q) <= w:\n return True\n else:\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/76": [{"task_id": "HumanEval/76", "solution": "def is_simple_power(x, n):\n if n == 1:\n return x == 1\n while x > 1:\n x /= n\n if x == int(x):\n continue\n else:\n return False\n return True", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[4722366482869645213695, 4722366482869645213696]]}], "HumanEval/25": [{"task_id": "HumanEval/25", "solution": "from typing import List\ndef factorize(n: int) -> List[int]:\n factors = []\n divisor = 2\n while divisor <= n:\n if n % divisor == 0:\n factors.append(divisor)\n n //= divisor\n else:\n divisor += 1\n return factors", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[123456791]]}], "HumanEval/73": [{"task_id": "HumanEval/73", "solution": "def smallest_change(arr):\n \"\"\"\n Given an array arr of integers, find the minimum number of elements that\n need to be changed to make the array palindromic. A palindromic array is an array that\n is read the same backwards and forwards. In one change, you can change one element to any other element.\n\n For example:\n smallest_change([1,2,3,5,4,7,9,6]) == 4\n smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1\n smallest_change([1, 2, 3, 2, 1]) == 0\n \"\"\"\n changes = 0\n for i in range(len(arr) // 2):\n if arr[i] != arr[-i - 1]:\n changes += 1\n return changes", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/69": [{"task_id": "HumanEval/69", "solution": "def search(lst):\n '''\n You are given a non-empty list of positive integers. Return the greatest integer that is greater than \n zero, and has a frequency greater than or equal to the value of the integer itself. \n The frequency of an integer is the number of times it appears in the list.\n If no such a value exist, return -1.\n Examples:\n search([4, 1, 2, 2, 3, 1]) == 2\n search([1, 2, 2, 3, 3, 3, 4, 4, 4]) == 3\n search([5, 5, 4, 4, 4]) == -1\n '''\n from collections import Counter\n count = Counter(lst)\n max_val = max(count.keys())\n for i in range(max_val, 0, -1):\n if count[i] >= i:\n return i\n return -1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/80": [{"task_id": "HumanEval/80", "solution": "def is_happy(s):\n if len(s) < 3:\n return False\n for i in range(len(s) - 2):\n if len(set(s[i:i+3])) != 3:\n return False\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/78": [{"task_id": "HumanEval/78", "solution": "def hex_key(num):\n prime_hex_digits = ['2', '3', '5', '7', 'B', 'D']\n return sum(1 for digit in num if digit in prime_hex_digits)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/77": [{"task_id": "HumanEval/77", "solution": "def iscube(a):\n '''\n Write a function that takes an integer a and returns True \n if this ingeger is a cube of some integer number.\n Note: you may assume the input is always valid.\n Examples:\n iscube(1) ==> True\n iscube(2) ==> False\n iscube(-1) ==> True\n iscube(64) ==> True\n iscube(0) ==> True\n iscube(180) ==> False\n '''\n x = round(a ** (1. / 3))\n return x ** 3 == a or (x+1) ** 3 == a or (x-1) ** 3 == a", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[-1]], "plus_fail_tests": [[-8]]}], "HumanEval/60": [{"task_id": "HumanEval/60", "solution": "def sum_to_n(n: int):\n \"\"\"sum_to_n is a function that sums numbers from 1 to n.\n \"\"\"\n return sum(range(1, n+1))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/39": [{"task_id": "HumanEval/39", "solution": "def prime_fib(n: int):\n def is_prime(num: int):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n def fibonacci(num: int):\n fib_sequence = [0, 1]\n while len(fib_sequence) <= num:\n fib_sequence.append(fib_sequence[-1] + fib_sequence[-2])\n return fib_sequence[-1]\n\n count = 0\n num = 0\n while count < n:\n num += 1\n if is_prime(num) and fibonacci(num) == num:\n count += 1\n return num", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[1]], "plus_fail_tests": [[11]]}], "HumanEval/81": [{"task_id": "HumanEval/81", "solution": "def numerical_letter_grade(grades):\n \"\"\"\n This function takes a list of GPAs and returns a list of corresponding letter grades.\n \"\"\"\n letter_grades = []\n for grade in grades:\n if grade == 4.0:\n letter_grades.append('A+')\n elif grade > 3.7:\n letter_grades.append('A')\n elif grade > 3.3:\n letter_grades.append('A-')\n elif grade > 3.0:\n letter_grades.append('B+')\n elif grade > 2.7:\n letter_grades.append('B')\n elif grade > 2.3:\n letter_grades.append('B-')\n elif grade > 2.0:\n letter_grades.append('C+')\n elif grade > 1.7:\n letter_grades.append('C')\n elif grade > 1.3:\n letter_grades.append('C-')\n elif grade > 1.0:\n letter_grades.append('D+')\n elif grade > 0.7:\n letter_grades.append('D')\n elif grade > 0.0:\n letter_grades.append('D-')\n else:\n letter_grades.append('E')\n return letter_grades", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/82": [{"task_id": "HumanEval/82", "solution": "def prime_length(string):\n length = len(string)\n if length < 2:\n return False\n for i in range(2, int(length**0.5) + 1):\n if length % i == 0:\n return False\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/84": [{"task_id": "HumanEval/84", "solution": "def solve(N):\n # Convert the integer to binary and remove the '0b' prefix\n binary = bin(N)[2:]\n \n # Calculate the sum of the digits\n total_sum = sum(int(digit) for digit in binary)\n \n # Convert the sum to binary and return it\n return bin(total_sum)[2:]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[1000]], "plus_fail_tests": [[10]]}], "HumanEval/95": [{"task_id": "HumanEval/95", "solution": "def check_dict_case(dictionary):\n if not dictionary:\n return False\n keys = list(dictionary.keys())\n if all(isinstance(key, str) for key in keys):\n return all(key.islower() or key.isupper() for key in keys)\n return False", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[{"p": "pineapple", "A": "banana", "B": "banana"}]], "plus_fail_tests": [[{"PI": 1.7300435058060522, "new yorrk": 2.2762868739904514}]]}], "HumanEval/87": [{"task_id": "HumanEval/87", "solution": "def get_row(lst, x):\n if not lst:\n return []\n coordinates = []\n for i, row in enumerate(lst):\n for j, item in enumerate(row):\n if item == x:\n coordinates.append((i, j))\n return sorted(coordinates, key=lambda y: (y[0], -y[1]))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/93": [{"task_id": "HumanEval/93", "solution": "def encode(message):\n vowels = 'aeiou'\n encoded_message = ''\n for char in message:\n if char.isalpha():\n if char.lower() in vowels:\n encoded_message += chr((ord(char) - 97 + 2) % 26 + 97).upper() if char.islower() else chr((ord(char) - 65 + 2) % 26 + 65)\n else:\n encoded_message += chr((ord(char) - 97) % 26 + 97).upper() if char.islower() else chr((ord(char) - 65) % 26 + 65)\n else:\n encoded_message += char\n return encoded_message", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["TEST"]], "plus_fail_tests": [["ZYXWVUTSRQPONMLKJIHGFEDCBA"]]}], "HumanEval/83": [{"task_id": "HumanEval/83", "solution": "def starts_one_ends(n):\n \"\"\"\n Given a positive integer n, return the count of the numbers of n-digit\n positive integers that start or end with 1.\n \"\"\"\n if n < 1:\n return 0\n elif n == 1:\n return 1\n else:\n return 2 * (9 ** (n - 1))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[6]]}], "HumanEval/85": [{"task_id": "HumanEval/85", "solution": "def add(lst):\n \"\"\"Given a non-empty list of integers lst. add the even elements that are at odd indices..\n\n Examples:\n add([4, 2, 6, 7]) ==> 2 \n \"\"\"\n return sum(lst[i] for i in range(1, len(lst), 2) if lst[i] % 2 == 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/88": [{"task_id": "HumanEval/88", "solution": "def sort_array(array):\n if len(array) == 0:\n return []\n elif len(array) == 1:\n return [array[0]]\n else:\n sorted_array = sorted(array)\n if (array[0] + array[-1]) % 2 == 0:\n return sorted_array[::-1]\n else:\n return sorted_array", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/90": [{"task_id": "HumanEval/90", "solution": "def next_smallest(lst):\n if len(lst) < 2:\n return None\n lst = list(set(lst)) # remove duplicates\n lst.sort() # sort the list\n return lst[1] if len(lst) > 1 else None", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/86": [{"task_id": "HumanEval/86", "solution": "def anti_shuffle(s):\n words = s.split(' ')\n ordered_words = [''.join(sorted(word)) for word in words]\n return ' '.join(ordered_words)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/36": [{"task_id": "HumanEval/36", "solution": "def fizz_buzz(n: int) -> int:\n \"\"\"Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.\n \"\"\"\n count = 0\n for i in range(n):\n if i % 11 == 0 or i % 13 == 0:\n count += str(i).count('7')\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/91": [{"task_id": "HumanEval/91", "solution": "def is_bored(S):\n \"\"\"\n You'll be given a string of words, and your task is to count the number\n of boredoms. A boredom is a sentence that starts with the word \"I\".\n Sentences are delimited by '.', '?' or '!'.\n \n For example:\n >>> is_bored(\"Hello world\")\n 0\n >>> is_bored(\"The sky is blue. The sun is shining. I love this weather\")\n 1\n \"\"\"\n # Split the string into sentences\n sentences = [sentence.strip() for sentence in re.split('[.!?]', S) if sentence]\n\n # Count the number of sentences starting with \"I\"\n boredoms = sum(1 for sentence in sentences if sentence.startswith('I'))\n\n return boredoms", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["Hello world"]], "plus_fail_tests": [["I am very happy today. I love spending time with my friends."]]}], "HumanEval/94": [{"task_id": "HumanEval/94", "solution": "def is_prime(n):\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True\n\ndef sum_of_digits(n):\n return sum(int(digit) for digit in str(n))\n\ndef largest_prime_and_sum_of_digits(lst):\n largest_prime = max(num for num in lst if is_prime(num))\n return sum_of_digits(largest_prime)\n\n# Test cases", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/89": [{"task_id": "HumanEval/89", "solution": "def encrypt(s):\n encrypted_string = \"\"\n for char in s:\n if char.isalpha():\n ascii_offset = 65 if char.isupper() else 97\n encrypted_string += chr((ord(char) - ascii_offset + 2*2) % 26 + ascii_offset)\n else:\n encrypted_string += char\n return encrypted_string", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/92": [{"task_id": "HumanEval/92", "solution": "def any_int(x, y, z):\n if isinstance(x, int) and isinstance(y, int) and isinstance(z, int):\n if x == y + z or y == x + z or z == x + y:\n return True\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/97": [{"task_id": "HumanEval/97", "solution": "def multiply(a, b):\n # Extract the unit digits of the numbers\n unit_digit_a = abs(a) % 10\n unit_digit_b = abs(b) % 10\n\n # Return the product of the unit digits\n return unit_digit_a * unit_digit_b", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/99": [{"task_id": "HumanEval/99", "solution": "def closest_integer(value):\n num = float(value)\n if num > 0:\n return int(num + 0.5)\n else:\n return int(num - 0.5)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/98": [{"task_id": "HumanEval/98", "solution": "def count_upper(s):\n \"\"\"\n Given a string s, count the number of uppercase vowels in even indices.\n \n For example:\n count_upper('aBCdEf') returns 1\n count_upper('abcdefg') returns 0\n count_upper('dBBE') returns 0\n \"\"\"\n vowels = 'AEIOU'\n return sum(1 for i in range(0, len(s), 2) if s[i] in vowels)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/108": [{"task_id": "HumanEval/108", "solution": "def count_nums(arr):\n def sum_digits(n):\n return sum(int(d) for d in str(n))\n\n return sum(1 for n in arr if sum_digits(n) > 0)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-1, -2, 0]]], "plus_fail_tests": [[[-1, 0, 1]]]}], "HumanEval/102": [{"task_id": "HumanEval/102", "solution": "def choose_num(x, y):\n \"\"\"This function takes two positive numbers x and y and returns the\n biggest even integer number that is in the range [x, y] inclusive. If \n there's no such number, then the function should return -1.\n\n For example:\n choose_num(12, 15) = 14\n choose_num(13, 12) = -1\n \"\"\"\n if x > y:\n return -1\n else:\n if x % 2 == 0:\n return y if y % 2 == 0 else y - 1\n else:\n return y if y % 2 == 0 else y - 1 if y - 1 > x else -1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/112": [{"task_id": "HumanEval/112", "solution": "def reverse_delete(s, c):\n # Delete all the characters in s that are equal to any character in c\n for char in c:\n s = s.replace(char, '')\n\n # Check if the result string is palindrome\n is_palindrome = s == s[::-1]\n\n return (s, is_palindrome)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/101": [{"task_id": "HumanEval/101", "solution": "def words_string(s):\n return s.replace(',', '').split()", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["Elephant,giraffe,,lion,zebra"]]}], "HumanEval/110": [{"task_id": "HumanEval/110", "solution": "def exchange(lst1, lst2):\n odd_lst1 = sum(x % 2 != 0 for x in lst1)\n even_lst2 = sum(x % 2 == 0 for x in lst2)\n return \"YES\" if odd_lst1 <= even_lst2 else \"NO\"", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/96": [{"task_id": "HumanEval/96", "solution": "def count_up_to(n):\n def is_prime(num):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n primes = [x for x in range(2, n) if is_prime(x)]\n return primes", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/115": [{"task_id": "HumanEval/115", "solution": "import math\ndef max_fill(grid, capacity):\n # Flatten the grid and count the number of 1s\n flat_grid = [item for sublist in grid for item in sublist]\n total_wells = sum(flat_grid)\n\n # Calculate the number of buckets needed\n buckets_needed = math.ceil(total_wells / capacity)\n\n return buckets_needed", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[1, 1, 1, 1], [1, 1, 1, 1]], 9]], "plus_fail_tests": [[[[1, 0, 0, 1], [0, 1, 1, 1], [0, 0, 0, 0], [1, 0, 1, 1]], 2]]}], "HumanEval/111": [{"task_id": "HumanEval/111", "solution": "def histogram(test):\n # Create an empty dictionary\n hist = {}\n # Split the string into a list of words\n words = test.split()\n # Iterate over the list of words\n for word in words:\n # If the word is already in the dictionary, increment its count\n if word in hist:\n hist[word] += 1\n # Otherwise, add it to the dictionary with a count of 1\n else:\n hist[word] = 1\n # Find the maximum count\n max_count = max(hist.values(), default=0)\n # Return a dictionary containing only the words with the maximum count\n return {word: count for word, count in hist.items() if count == max_count}", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/104": [{"task_id": "HumanEval/104", "solution": "def unique_digits(x):\n \"\"\"Given a list of positive integers x. return a sorted list of all \n elements that hasn't any even digit.\n\n Note: Returned list should be sorted in increasing order.\n \n For example:\n >>> unique_digits([15, 33, 1422, 1])\n [1, 15, 33]\n >>> unique_digits([152, 323, 1422, 10])\n []\n \"\"\"\n def has_even_digit(n):\n \"\"\"Check if a number has an even digit.\"\"\"\n return any(int(digit) % 2 == 0 for digit in str(n))\n\n return sorted([num for num in x if not has_even_digit(num)])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/103": [{"task_id": "HumanEval/103", "solution": "def rounded_avg(n, m):\n if n > m:\n return -1\n else:\n avg = round((n + m) / 2)\n return bin(avg)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/109": [{"task_id": "HumanEval/109", "solution": "def move_one_ball(arr):\n if len(arr) == 0:\n return True\n count = 0\n for i in range(len(arr)):\n if arr[i] > arr[(i+1)%len(arr)]:\n count += 1\n if count > 1:\n return False\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/114": [{"task_id": "HumanEval/114", "solution": "def minSubArraySum(nums):\n \"\"\"\n Given an array of integers nums, find the minimum sum of any non-empty sub-array\n of nums.\n Example\n minSubArraySum([2, 3, 4, 1, 2, 4]) == 1\n minSubArraySum([-1, -2, -3]) == -6\n \"\"\"\n min_sum = float('inf')\n current_sum = 0\n for num in nums:\n current_sum += num\n if current_sum < min_sum:\n min_sum = current_sum\n if current_sum > 0:\n current_sum = 0\n return min_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/107": [{"task_id": "HumanEval/107", "solution": "def even_odd_palindrome(n):\n def is_palindrome(num):\n return str(num) == str(num)[::-1]\n\n even_count = sum(is_palindrome(i) and i % 2 == 0 for i in range(1, n+1))\n odd_count = sum(is_palindrome(i) and i % 2 != 0 for i in range(1, n+1))\n\n return (even_count, odd_count)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/106": [{"task_id": "HumanEval/106", "solution": "def f(n):\n def factorial(x):\n if x == 0 or x == 1:\n return 1\n else:\n return x * factorial(x - 1)\n\n def sum_to_n(x):\n return int(x * (x + 1) / 2)\n\n result = []\n for i in range(1, n+1):\n if i % 2 == 0:\n result.append(factorial(i))\n else:\n result.append(sum_to_n(i))\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/113": [{"task_id": "HumanEval/113", "solution": "def odd_count(lst):\n result = []\n for i, s in enumerate(lst):\n odd_digits = sum(int(c) % 2 for c in s)\n template = \"the number of odd elements {}n the str{}ng {} of the {}nput.\"\n result.append(template.format(odd_digits, odd_digits, odd_digits, odd_digits))\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/105": [{"task_id": "HumanEval/105", "solution": "def by_length(arr):\n # Define a dictionary to map numbers to their names\n num_to_name = {1: \"One\", 2: \"Two\", 3: \"Three\", 4: \"Four\", 5: \"Five\", 6: \"Six\", 7: \"Seven\", 8: \"Eight\", 9: \"Nine\"}\n\n # Filter out numbers not in the range 1-9 and sort the remaining numbers\n arr = sorted([num for num in arr if 1 <= num <= 9])\n\n # Reverse the array\n arr = arr[::-1]\n\n # Replace each number with its corresponding name\n arr = [num_to_name[num] for num in arr]\n\n return arr", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/116": [{"task_id": "HumanEval/116", "solution": "def sort_array(arr):\n def count_ones(n):\n return bin(n).count('1')\n\n return sorted(arr, key=lambda x: (count_ones(x), x))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/117": [{"task_id": "HumanEval/117", "solution": "def select_words(s, n):\n vowels = 'aeiou'\n words = s.split()\n result = []\n for word in words:\n count = 0\n for letter in word:\n if letter.lower() not in vowels:\n count += 1\n if count == n:\n result.append(word)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/100": [{"task_id": "HumanEval/100", "solution": "def make_a_pile(n):\n stones = [n]\n for i in range(1, n):\n if n % 2 == 0:\n stones.append(n + 2*i)\n else:\n stones.append(n + 2*i)\n return stones", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/119": [{"task_id": "HumanEval/119", "solution": "def match_parens(lst):\n # Initialize counters for open and close parentheses\n open_count = 0\n close_count = 0\n\n # Iterate over each string in the list\n for string in lst:\n # Iterate over each character in the string\n for char in string:\n # If the character is an open parenthesis, increment the counter\n if char == '(':\n open_count += 1\n # If the character is a close parenthesis, increment the counter\n elif char == ')':\n close_count += 1\n\n # If the number of open parentheses is greater than or equal to the number of close parentheses,\n # it's possible to make a good string\n if open_count >= close_count:\n return 'Yes'\n else:\n return 'No'", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["((((", "((())"]]], "plus_fail_tests": [[["(", "("]]]}], "HumanEval/120": [{"task_id": "HumanEval/120", "solution": "def maximum(arr, k):\n \"\"\"\n Given an array arr of integers and a positive integer k, return a sorted list \n of length k with the maximum k numbers in arr.\n\n Example 1:\n\n Input: arr = [-3, -4, 5], k = 3\n Output: [-4, -3, 5]\n\n Example 2:\n\n Input: arr = [4, -4, 4], k = 2\n Output: [4, 4]\n\n Example 3:\n\n Input: arr = [-3, 2, 1, 2, -1, -2, 1], k = 1\n Output: [2]\n\n Note:\n 1. The length of the array will be in the range of [1, 1000].\n 2. The elements in the array will be in the range of [-1000, 1000].\n 3. 0 <= k <= len(arr)\n \"\"\"\n # Sort the array in descending order\n arr.sort(reverse=True)\n # Return the first k elements\n return arr[:k]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-3, -4, 5], 3]], "plus_fail_tests": [[[1, 2, 3, 4, 5], 3]]}], "HumanEval/121": [{"task_id": "HumanEval/121", "solution": "def solution(lst):\n return sum(el for i, el in enumerate(lst) if i % 2 == 0 and el % 2 != 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/123": [{"task_id": "HumanEval/123", "solution": "def get_odd_collatz(n):\n def collatz(n):\n sequence = [n]\n while n != 1:\n if n % 2 == 0:\n n = n // 2\n else:\n n = 3 * n + 1\n sequence.append(n)\n return sequence\n\n odd_numbers = [num for num in collatz(n) if num % 2 != 0]\n return sorted(list(set(odd_numbers)))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/129": [{"task_id": "HumanEval/129", "solution": "import heapq\ndef minPath(grid, k):\n n = len(grid)\n pq, visited, res = [], set(), []\n for r in range(n):\n for c in range(n):\n pq.append((grid[r][c], r, c))\n heapq.heapify(pq)\n while len(res) < k:\n v, r, c = heapq.heappop(pq)\n if (r, c) not in visited:\n res.append(v)\n visited.add((r, c))\n for nr, nc in ((r-1, c), (r+1, c), (r, c-1), (r, c+1)):\n if 0 <= nr < n and 0 <= nc < n and (nr, nc) not in visited:\n heapq.heappush(pq, (grid[nr][nc], nr, nc))\n return res", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3]], "plus_fail_tests": [[[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 9]]}], "HumanEval/124": [{"task_id": "HumanEval/124", "solution": "def valid_date(date):\n if date == '':\n return False\n else:\n try:\n month, day, year = map(int, date.split('-'))\n except ValueError:\n return False\n\n if month < 1 or month > 12:\n return False\n\n if month in [4, 6, 9, 11] and (day < 1 or day > 30):\n return False\n elif month == 2 and (day < 1 or day > 29):\n return False\n elif (day < 1 or day > 31):\n return False\n\n return True", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["06-04-202"]]}], "HumanEval/125": [{"task_id": "HumanEval/125", "solution": "def split_words(txt):\n words = txt.split()\n if len(words) > 1:\n return words\n words = txt.split(',')\n if len(words) > 1:\n return words\n return sum(1 for c in txt if c.islower() and (ord(c) - ord('a')) % 2 != 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/128": [{"task_id": "HumanEval/128", "solution": "def prod_signs(arr):\n if not arr:\n return None\n sign_product = 1\n magnitude_sum = 0\n for num in arr:\n if num < 0:\n sign_product *= -1\n magnitude_sum += abs(num)\n return sign_product * magnitude_sum", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[0, 1]]], "plus_fail_tests": [[[-1, 0, 1, 2]]]}], "HumanEval/127": [{"task_id": "HumanEval/127", "solution": "def intersection(interval1, interval2):\n # Determine the intersection of the two intervals\n intersection_start = max(interval1[0], interval2[0])\n intersection_end = min(interval1[1], interval2[1])\n\n # If the intervals don't intersect, return \"NO\"\n if intersection_start > intersection_end:\n return \"NO\"\n\n # Calculate the length of the intersection\n intersection_length = intersection_end - intersection_start + 1\n\n # Check if the length of the intersection is a prime number\n if intersection_length < 2:\n return \"NO\"\n for i in range(2, int(intersection_length ** 0.5) + 1):\n if intersection_length % i == 0:\n return \"NO\"\n return \"YES\"", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-1, 1], [0, 4]]], "plus_fail_tests": [[[10, 20], [15, 25]]]}], "HumanEval/126": [{"task_id": "HumanEval/126", "solution": "def is_sorted(lst):\n if len(lst) < 2:\n return True\n else:\n for i in range(len(lst)-1):\n if lst[i] >= lst[i+1]:\n return False\n return True", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 2, 3, 3, 4]]], "plus_fail_tests": [[[1, 1, 2, 2, 3, 3, 4]]]}], "HumanEval/122": [{"task_id": "HumanEval/122", "solution": "def add_elements(arr, k):\n \"\"\"\n Given a non-empty array of integers arr and an integer k, return\n the sum of the elements with at most two digits from the first k elements of arr.\n\n Example:\n\n Input: arr = [111,21,3,4000,5,6,7,8,9], k = 4\n Output: 24 # sum of 21 + 3\n\n Constraints:\n 1. 1 <= len(arr) <= 100\n 2. 1 <= k <= len(arr)\n \"\"\"\n # Initialize sum to 0\n total_sum = 0\n\n # Iterate over the first k elements of arr\n for i in range(k):\n # If the number of digits in the current element is at most 2, add it to the sum\n if len(str(arr[i])) <= 2:\n total_sum += arr[i]\n\n return total_sum\narr = [111,21,3,4000,5,6,7,8,9]\nk = 4", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[-99, -88, -77, -66, -55, -44, -33, -22, -11], 5]]}], "HumanEval/118": [{"task_id": "HumanEval/118", "solution": "def get_closest_vowel(word):\n vowels = \"AEIOUaeiou\"\n for i in range(len(word) - 2, 0, -1):\n if word[i] in vowels and word[i-1] not in vowels and word[i+1] not in vowels:\n return word[i]\n return \"\"", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/132": [{"task_id": "HumanEval/132", "solution": "def is_nested(string):\n stack = []\n for bracket in string:\n if bracket == '[':\n stack.append(bracket)\n elif bracket == ']':\n if len(stack) == 0:\n return False\n stack.pop()\n return len(stack) == 0", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["[][]"]], "plus_fail_tests": [["[[]]]"]]}], "HumanEval/142": [{"task_id": "HumanEval/142", "solution": "def sum_squares(lst):\n return sum(num**3 if i%3==0 and i%4!=0 else num**2 if i%4==0 else num for i, num in enumerate(lst))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-1, -5, 2, -1, -5]]], "plus_fail_tests": [[[2, 4, 6, 8, 10, 12]]]}], "HumanEval/134": [{"task_id": "HumanEval/134", "solution": "def check_if_last_char_is_a_letter(txt):\n if not txt or txt[-1] == ' ':\n return False\n return txt[-1].isalpha() and txt[-2] == ' '", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["A"]], "plus_fail_tests": [["p"]]}], "HumanEval/138": [{"task_id": "HumanEval/138", "solution": "def is_equal_to_sum_even(n):\n \"\"\"Evaluate whether the given number n can be written as the sum of exactly 4 positive even numbers\"\"\"\n if n < 10:\n return False\n else:\n return n % 4 == 0", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[8]], "plus_fail_tests": [[22]]}], "HumanEval/131": [{"task_id": "HumanEval/131", "solution": "def digits(n):\n product = 1\n for digit in str(n):\n if int(digit) % 2 != 0:\n product *= int(digit)\n return product", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[2468]], "plus_fail_tests": [[246]]}], "HumanEval/136": [{"task_id": "HumanEval/136", "solution": "def largest_smallest_integers(lst):\n neg_max = None\n pos_min = None\n\n for num in lst:\n if num < 0:\n if neg_max is None or num > neg_max:\n neg_max = num\n elif num > 0:\n if pos_min is None or num < pos_min:\n pos_min = num\n\n return (neg_max, pos_min)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/135": [{"task_id": "HumanEval/135", "solution": "def can_arrange(arr):\n \"\"\"Create a function which returns the largest index of an element which\n is not greater than or equal to the element immediately preceding it. If\n no such element exists then return -1. The given array will not contain\n duplicate values.\n\n Examples:\n can_arrange([1,2,4,3,5]) = 3\n can_arrange([1,2,3]) = -1\n \"\"\"\n for i in range(len(arr) - 1, 0, -1):\n if arr[i] < arr[i - 1]:\n return i\n return -1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/133": [{"task_id": "HumanEval/133", "solution": "def sum_squares(lst):\n \"\"\"You are given a list of numbers.\n You need to return the sum of squared numbers in the given list,\n round each element in the list to the upper int(Ceiling) first.\n Examples:\n For lst = [1,2,3] the output should be 14\n For lst = [1,4,9] the output should be 98\n For lst = [1,3,5,7] the output should be 84\n For lst = [1.4,4.2,0] the output should be 29\n For lst = [-2.4,1,1] the output should be 6\n \"\"\"\n return sum(int(abs(num) + 0.99) ** 2 for num in lst)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-2.4, 1, 1]]], "plus_fail_tests": [[[0, 3.3, 7.7, -2.2]]]}], "HumanEval/141": [{"task_id": "HumanEval/141", "solution": "import re\ndef file_name_check(file_name):\n \"\"\"Create a function which takes a string representing a file's name, and returns\n 'Yes' if the the file's name is valid, and returns 'No' otherwise.\n A file's name is considered to be valid if and only if all the following conditions \n are met:\n - There should not be more than three digits ('0'-'9') in the file's name.\n - The file's name contains exactly one dot '.'\n - The substring before the dot should not be empty, and it starts with a letter from \n the latin alphapet ('a'-'z' and 'A'-'Z').\n - The substring after the dot should be one of these: ['txt', 'exe', 'dll']\n Examples:\n file_name_check(\"example.txt\") # => 'Yes'\n file_name_check(\"1example.dll\") # => 'No' (the name should start with a latin alphapet letter)\n \"\"\"\n # Check if there are more than 3 digits in the file name\n if len(re.findall(r'\\d', file_name)) > 3:\n return 'No'\n\n # Check if there is exactly one dot in the file name\n if file_name.count('.') != 1:\n return 'No'\n\n # Split the file name into the name and extension\n name, extension = file_name.split('.')\n\n # Check if the name starts with a letter and is not empty\n if not name or not name[0].isalpha():\n return 'No'\n\n # Check if the extension is one of the allowed ones\n if extension not in ['txt', 'exe', 'dll']:\n return 'No'\n\n return 'Yes'", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/137": [{"task_id": "HumanEval/137", "solution": "def compare_one(a, b):\n # Check if a and b are of the same type\n if type(a) != type(b):\n return None\n\n # If a and b are both integers or floats, return the larger one\n if isinstance(a, (int, float)):\n if a == b:\n return None\n else:\n return max(a, b)\n\n # If a and b are both strings, replace ',' with '.' and return the larger one\n if isinstance(a, str):\n a = float(a.replace(',', '.'))\n b = float(b.replace(',', '.'))\n if a == b:\n return None\n else:\n return max(a, b)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[1, 2.5]], "plus_fail_tests": [["5,000", 5000]]}], "HumanEval/140": [{"task_id": "HumanEval/140", "solution": "def fix_spaces(text):\n result = []\n i = 0\n while i < len(text):\n if text[i] == ' ':\n if i + 1 < len(text) and text[i+1] == ' ':\n result.append('-')\n while i < len(text) and text[i] == ' ':\n i += 1\n else:\n result.append('_')\n i += 1\n else:\n result.append(text[i])\n i += 1\n return ''.join(result)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["Yellow Yellow Dirty Fellow"]], "plus_fail_tests": [[" spaces every where "]]}], "HumanEval/145": [{"task_id": "HumanEval/145", "solution": "def order_by_points(nums):\n return sorted(nums, key=lambda x: (sum(int(digit) for digit in str(abs(x))), nums.index(x)))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 11, -1, -11, -12]]], "plus_fail_tests": [[[-5, -12, 9, 15]]]}], "HumanEval/143": [{"task_id": "HumanEval/143", "solution": "def words_in_sentence(sentence):\n def is_prime(n):\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True\n\n words = sentence.split()\n prime_words = [word for word in words if is_prime(len(word))]\n return ' '.join(prime_words)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/148": [{"task_id": "HumanEval/148", "solution": "def bf(planet1, planet2):\n planets = [\"Mercury\", \"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\", \"Uranus\", \"Neptune\"]\n if planet1 not in planets or planet2 not in planets:\n return ()\n else:\n start = min(planets.index(planet1), planets.index(planet2))\n end = max(planets.index(planet1), planets.index(planet2))\n return tuple(planets[start+1:end])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/146": [{"task_id": "HumanEval/146", "solution": "def specialFilter(nums):\n count = 0\n for num in nums:\n if num > 10 and str(abs(num))[0] in '13579' and str(abs(num))[-1] in '13579':\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/144": [{"task_id": "HumanEval/144", "solution": "def simplify(x, n):\n x_num, x_den = map(int, x.split('/'))\n n_num, n_den = map(int, n.split('/'))\n\n # Calculate the numerator and denominator of the simplified fraction\n new_num = x_num * n_num\n new_den = x_den * n_den\n\n # Check if the simplified fraction is a whole number\n return new_num % new_den == 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/155": [{"task_id": "HumanEval/155", "solution": "def even_odd_count(num):\n even_count = 0\n odd_count = 0\n for digit in str(abs(num)):\n if int(digit) % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n return (even_count, odd_count)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/153": [{"task_id": "HumanEval/153", "solution": "def Strongest_Extension(class_name, extensions):\n strongest_extension = extensions[0]\n strongest_strength = sum([1 for c in strongest_extension if c.isupper()]) - sum([1 for c in strongest_extension if c.islower()])\n\n for extension in extensions[1:]:\n strength = sum([1 for c in extension if c.isupper()]) - sum([1 for c in extension if c.islower()])\n if strength > strongest_strength:\n strongest_extension = extension\n strongest_strength = strength\n\n return f\"{class_name}.{strongest_extension}\"", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/151": [{"task_id": "HumanEval/151", "solution": "def double_the_difference(lst):\n if not lst:\n return 0\n else:\n return sum([i**2 for i in lst if i > 0 and isinstance(i, int) and i%2 != 0])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/157": [{"task_id": "HumanEval/157", "solution": "def right_angle_triangle(a, b, c):\n # Sort the sides of the triangle\n sides = sorted([a, b, c])\n\n # Check if the triangle is right-angled\n return sides[0]**2 + sides[1]**2 == sides[2]**2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/156": [{"task_id": "HumanEval/156", "solution": "def int_to_mini_roman(number):\n val = [\n 1000, 900, 500, 400,\n 100, 90, 50, 40,\n 10, 9, 5, 4,\n 1\n ]\n syb = [\n 'm', 'cm', 'd', 'cd',\n 'c', 'xc', 'l', 'xl',\n 'x', 'ix', 'v', 'iv',\n 'i'\n ]\n roman_num = ''\n i = 0\n while number > 0:\n for _ in range(number // val[i]):\n roman_num += syb[i]\n number -= val[i]\n i += 1\n return roman_num", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/158": [{"task_id": "HumanEval/158", "solution": "def find_max(words):\n max_unique_chars = 0\n max_word = ''\n for word in words:\n unique_chars = len(set(word))\n if unique_chars > max_unique_chars:\n max_unique_chars = unique_chars\n max_word = word\n elif unique_chars == max_unique_chars:\n max_word = min(word, max_word)\n return max_word", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/149": [{"task_id": "HumanEval/149", "solution": "def sorted_list_sum(lst):\n # Filter out strings with odd lengths\n lst = [word for word in lst if len(word) % 2 == 0]\n # Sort the list by length and then alphabetically\n lst.sort()\n lst.sort(key=len)\n return lst", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/152": [{"task_id": "HumanEval/152", "solution": "def compare(game, guess):\n return [abs(g - h) for g, h in zip(game, guess)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/150": [{"task_id": "HumanEval/150", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\ndef x_or_y(n, x, y):\n \"\"\"Return x if n is prime, otherwise return y.\"\"\"\n return x if is_prime(n) else y", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/160": [{"task_id": "HumanEval/160", "solution": "def do_algebra(operator, operand):\n # Initialize the result as the first operand\n result = operand[0]\n\n # Iterate over the operators and operands\n for i in range(len(operator)):\n # Perform the operation based on the operator\n if operator[i] == '+':\n result += operand[i+1]\n elif operator[i] == '-':\n result -= operand[i+1]\n elif operator[i] == '*':\n result *= operand[i+1]\n elif operator[i] == '//':\n result //= operand[i+1]\n elif operator[i] == '**':\n result **= operand[i+1]\n\n return result", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["+", "*", "-"], [2, 3, 4, 5]]], "plus_fail_tests": [[["+", "-", "*", "//"], [5, 2, 3, 4, 7]]]}], "HumanEval/163": [{"task_id": "HumanEval/163", "solution": "def generate_integers(a, b):\n # Swap a and b if a is greater than b\n if a > b:\n a, b = b, a\n\n # Initialize an empty list to store the even numbers\n even_numbers = []\n\n # Iterate over the range from a to b\n for i in range(a, b+1):\n # Check if the number is even\n if i % 2 == 0:\n # If it is, append it to the list\n even_numbers.append(i)\n\n # Return the list of even numbers\n return even_numbers", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[2, 10]], "plus_fail_tests": [[6, 12]]}], "HumanEval/159": [{"task_id": "HumanEval/159", "solution": "def eat(number, need, remaining):\n if need <= remaining:\n return [number + need, remaining - need]\n else:\n return [number + remaining, 0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/161": [{"task_id": "HumanEval/161", "solution": "def solve(s):\n if not any(char.isalpha() for char in s):\n return s[::-1]\n else:\n return ''.join([char.upper() if char.islower() else char.lower() for char in s])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/154": [{"task_id": "HumanEval/154", "solution": "def cycpattern_check(a , b):\n \"\"\"\n This function checks if the second word or any of its rotations is a substring in the first word.\n \"\"\"\n # Check if b is a substring of a\n if b in a:\n return True\n\n # Check if any rotation of b is a substring of a\n for i in range(len(b)):\n if b[i:] + b[:i] in a:\n return True\n\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/162": [{"task_id": "HumanEval/162", "solution": "import hashlib\ndef string_to_md5(text):\n \"\"\"\n Given a string 'text', return its md5 hash equivalent string.\n If 'text' is an empty string, return None.\n\n >>> string_to_md5('Hello world') == '3e25960a79dbc69b674cd4ec67a72c62'\n \"\"\"\n if text == \"\":\n return None\n else:\n return hashlib.md5(text.encode()).hexdigest()", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/130": [{"task_id": "HumanEval/130", "solution": "def tri(n):\n if n < 0:\n raise ValueError(\"Input must be a non-negative integer.\")\n elif n == 0:\n return [0]\n elif n == 1:\n return [1, 3]\n elif n == 2:\n return [1, 3, 2]\n else:\n sequence = [1, 3, 2]\n for i in range(3, n + 1):\n if i % 2 == 0:\n sequence.append(1 + i // 2)\n else:\n sequence.append(sequence[-1] + sequence[-2] + sequence[-3])\n return sequence", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[10]]}], "HumanEval/15": [{"task_id": "HumanEval/15", "solution": "def string_sequence(n: int) -> str:\n return ' '.join(str(i) for i in range(n+1))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/147": [{"task_id": "HumanEval/147", "solution": "def get_max_triples(n):\n a = [i * i - i + 1 for i in range(1, n+1)]\n count = 0\n for i in range(n):\n for j in range(i+1, n):\n for k in range(j+1, n):\n if (a[i] + a[j] + a[k]) % 3 == 0:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/139": [{"task_id": "HumanEval/139", "solution": "def special_factorial(n):\n def factorial(n):\n if n == 0:\n return 1\n else:\n return n * factorial(n-1)\n\n result = 1\n for i in range(n, 0, -1):\n result *= factorial(i)\n\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}]}, "pass_at_k": {"base": {"pass@1": 0.774390243902439}, "plus": {"pass@1": 0.7317073170731707}}} \ No newline at end of file diff --git a/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.jsonl b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..715b9cdd861dcf769fe9a7134e91f600e5d48c29 --- /dev/null +++ b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.jsonl @@ -0,0 +1,164 @@ +{"task_id": "HumanEval/0", "solution": "from typing import List\ndef has_close_elements(numbers: List[float], threshold: float) -> bool:\n \"\"\" Check if in given list of numbers, are any two numbers closer to each other than\n given threshold.\n \"\"\"\n numbers.sort()\n for i in range(1, len(numbers)):\n if numbers[i] - numbers[i - 1] < threshold:\n return True\n return False"} +{"task_id": "HumanEval/1", "solution": "from typing import List\ndef separate_paren_groups(paren_string: str) -> List[str]:\n paren_string = paren_string.replace(\" \", \"\") # Remove spaces\n stack = []\n groups = []\n current_group = \"\"\n for char in paren_string:\n if char == \"(\":\n if current_group:\n stack.append(current_group)\n current_group = \"\"\n stack.append(char)\n elif char == \")\":\n stack.append(char)\n current_group = \"\".join(stack[-2:])\n if stack.count(\"(\") == stack.count(\")\"):\n groups.append(current_group)\n stack = []\n current_group = \"\"\n else:\n raise ValueError(\"Invalid character in input string\")\n if stack:\n raise ValueError(\"Unbalanced parentheses in input string\")\n return groups"} +{"task_id": "HumanEval/2", "solution": "def truncate_number(number: float) -> float:\n \"\"\" Given a positive floating point number, it can be decomposed into\n and integer part (largest integer smaller than given number) and decimals\n (leftover part always smaller than 1).\n\n Return the decimal part of the number.\n \"\"\"\n # Using the modulus operator to get the decimal part of the number\n return number % 1"} +{"task_id": "HumanEval/3", "solution": "from typing import List\ndef below_zero(operations: List[int]) -> bool:\n balance = 0\n for operation in operations:\n balance += operation\n if balance < 0:\n return True\n return False"} +{"task_id": "HumanEval/4", "solution": "from typing import List\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\" For a given list of input numbers, calculate Mean Absolute Deviation\n around the mean of this dataset.\n Mean Absolute Deviation is the average absolute difference between each\n element and a centerpoint (mean in this case):\n MAD = average | x - x_mean |\n >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])\n 1.0\n \"\"\"\n mean = sum(numbers) / len(numbers)\n abs_diffs = [abs(x - mean) for x in numbers]\n mad = sum(abs_diffs) / len(abs_diffs)\n return mad"} +{"task_id": "HumanEval/5", "solution": "from typing import List\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n \"\"\" Insert a number 'delimeter' between every two consecutive elements of input list `numbers'\n >>> intersperse([], 4)\n []\n >>> intersperse([1, 2, 3], 4)\n [1, 4, 2, 4, 3]\n \"\"\"\n result = []\n for i in range(len(numbers)):\n result.append(numbers[i])\n if i < len(numbers) - 1:\n result.append(delimeter)\n return result"} +{"task_id": "HumanEval/6", "solution": "from typing import List\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.\n For each of the group, output the deepest level of nesting of parentheses.\n E.g. (()()) has maximum two levels of nesting while ((())) has three.\n\n >>> parse_nested_parens('(()()) ((())) () ((())()())')\n [2, 3, 1, 3]\n \"\"\"\n # Split the string into groups of parentheses\n groups = paren_string.split()\n\n # Initialize an empty list to store the maximum depth of each group\n max_depths = []\n\n # Iterate over each group\n for group in groups:\n # Initialize a counter for the current depth and the maximum depth\n current_depth = 0\n max_depth = 0\n\n # Iterate over each character in the group\n for char in group:\n # If the character is an opening parenthesis, increment the current depth\n if char == '(':\n current_depth += 1\n # If the current depth is greater than the maximum depth, update the maximum depth\n if current_depth > max_depth:\n max_depth = current_depth\n # If the character is a closing parenthesis, decrement the current depth\n elif char == ')':\n current_depth -= 1\n\n # Append the maximum depth to the list of maximum depths\n max_depths.append(max_depth)\n\n return max_depths"} +{"task_id": "HumanEval/7", "solution": "from typing import List\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that contain given substring\n >>> filter_by_substring([], 'a')\n []\n >>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')\n ['abc', 'bacd', 'array']\n \"\"\"\n return [s for s in strings if substring in s]"} +{"task_id": "HumanEval/8", "solution": "from typing import List, Tuple\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"\"\" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.\n Empty sum should be equal to 0 and empty product should be equal to 1.\n >>> sum_product([])\n (0, 1)\n >>> sum_product([1, 2, 3, 4])\n (10, 24)\n \"\"\"\n sum_numbers = 0\n product_numbers = 1\n for num in numbers:\n sum_numbers += num\n product_numbers *= num\n return (sum_numbers, product_numbers)"} +{"task_id": "HumanEval/9", "solution": "from typing import List, Tuple\ndef rolling_max(numbers: List[int]) -> List[int]:\n if not numbers:\n return []\n\n max_nums = [numbers[0]]\n for i in range(1, len(numbers)):\n max_nums.append(max(max_nums[i-1], numbers[i]))\n\n return max_nums"} +{"task_id": "HumanEval/10", "solution": "def is_palindrome(string: str) -> bool:\n \"\"\" Test if given string is a palindrome \"\"\"\n return string == string[::-1]\ndef make_palindrome(string: str) -> str:\n \"\"\" Find the shortest palindrome that begins with a supplied string.\n Algorithm idea is simple:\n - Find the longest postfix of supplied string that is a palindrome.\n - Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.\n >>> make_palindrome('')\n ''\n >>> make_palindrome('cat')\n 'catac'\n >>> make_palindrome('cata')\n 'catac'\n \"\"\"\n if is_palindrome(string):\n return string\n\n for i in range(len(string)):\n if is_palindrome(string[i:]):\n return string + string[:i][::-1]"} +{"task_id": "HumanEval/11", "solution": "from typing import List\ndef string_xor(a: str, b: str) -> str:\n \"\"\" Input are two strings a and b consisting only of 1s and 0s.\n Perform binary XOR on these inputs and return result also as a string.\n >>> string_xor('010', '110')\n '100'\n \"\"\"\n # Ensure both strings are of the same length\n max_len = max(len(a), len(b))\n a = a.zfill(max_len)\n b = b.zfill(max_len)\n\n # Perform XOR operation\n result = ''\n for i in range(max_len):\n result += str(int(a[i]) ^ int(b[i]))\n\n return result"} +{"task_id": "HumanEval/12", "solution": "from typing import List, Optional\ndef longest(strings: List[str]) -> Optional[str]:\n if not strings:\n return None\n longest_string = strings[0]\n for string in strings:\n if len(string) > len(longest_string):\n longest_string = string\n return longest_string"} +{"task_id": "HumanEval/13", "solution": "def greatest_common_divisor(a: int, b: int) -> int:\n \"\"\" Return a greatest common divisor of two integers a and b\n >>> greatest_common_divisor(3, 5)\n 1\n >>> greatest_common_divisor(25, 15)\n 5\n \"\"\"\n while b != 0:\n a, b = b, a % b\n return a"} +{"task_id": "HumanEval/14", "solution": "from typing import List\ndef all_prefixes(string: str) -> List[str]:\n \"\"\" Return list of all prefixes from shortest to longest of the input string\n >>> all_prefixes('abc')\n ['a', 'ab', 'abc']\n \"\"\"\n return [string[i:] for i in range(len(string))]"} +{"task_id": "HumanEval/15", "solution": "def string_sequence(n: int) -> str:\n return ' '.join(str(i) for i in range(n+1))"} +{"task_id": "HumanEval/16", "solution": "def count_distinct_characters(string: str) -> int:\n \"\"\" Given a string, find out how many distinct characters (regardless of case) does it consist of\n >>> count_distinct_characters('xyzXYZ')\n 3\n >>> count_distinct_characters('Jerry')\n 4\n \"\"\"\n return len(set(string.lower()))"} +{"task_id": "HumanEval/17", "solution": "from typing import List\ndef parse_music(music_string: str) -> List[int]:\n notes = music_string.split()\n beats = []\n for note in notes:\n if note == 'o':\n beats.append(4)\n elif note == 'o|':\n beats.append(2)\n elif note == '.|':\n beats.append(1)\n return beats"} +{"task_id": "HumanEval/18", "solution": "def how_many_times(string: str, substring: str) -> int:\n count = start = 0\n while start < len(string):\n pos = string.find(substring, start)\n if pos != -1:\n start = pos + 1\n count += 1\n else:\n break\n return count"} +{"task_id": "HumanEval/19", "solution": "from typing import List\ndef sort_numbers(numbers: str) -> str:\n \"\"\" Input is a space-delimited string of numberals from 'zero' to 'nine'.\n Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.\n Return the string with numbers sorted from smallest to largest\n >>> sort_numbers('three one five')\n 'one three five'\n \"\"\"\n num_dict = {'zero':0, 'one':1, 'two':2, 'three':3, 'four':4, 'five':5, 'six':6, 'seven':7, 'eight':8, 'nine':9}\n return ' '.join(sorted(numbers.split(), key=lambda x: num_dict[x]))"} +{"task_id": "HumanEval/20", "solution": "from typing import List, Tuple\ndef find_closest_elements(numbers: List[float]) -> Tuple[float, float]:\n \"\"\" From a supplied list of numbers (of length at least two) select and return two that are the closest to each\n other and return them in order (smaller number, larger number).\n \"\"\"\n numbers.sort()\n min_diff = float('inf')\n result = (0, 0)\n for i in range(1, len(numbers)):\n diff = numbers[i] - numbers[i - 1]\n if diff < min_diff:\n min_diff = diff\n result = (numbers[i - 1], numbers[i])\n return result"} +{"task_id": "HumanEval/21", "solution": "from typing import List\ndef rescale_to_unit(numbers: List[float]) -> List[float]:\n min_num = min(numbers)\n max_num = max(numbers)\n range_num = max_num - min_num\n return [(num - min_num) / range_num for num in numbers]"} +{"task_id": "HumanEval/22", "solution": "from typing import List, Any\ndef filter_integers(values: List[Any]) -> List[int]:\n \"\"\" Filter given list of any python values only for integers\n >>> filter_integers(['a', 3.14, 5])\n [5]\n >>> filter_integers([1, 2, 3, 'abc', {}, []])\n [1, 2, 3]\n \"\"\"\n return [value for value in values if isinstance(value, int)]"} +{"task_id": "HumanEval/23", "solution": "def strlen(string: str) -> int:\n \"\"\" Return length of given string\n >>> strlen('')\n 0\n >>> strlen('abc')\n 3\n \"\"\"\n return len(string)"} +{"task_id": "HumanEval/24", "solution": "def largest_divisor(n: int) -> int:\n \"\"\" For a given number n, find the largest number that divides n evenly, smaller than n\n >>> largest_divisor(15)\n 5\n \"\"\"\n for i in range(n-1, 0, -1):\n if n % i == 0:\n return i"} +{"task_id": "HumanEval/25", "solution": "from typing import List\ndef factorize(n: int) -> List[int]:\n factors = []\n divisor = 2\n while divisor <= n:\n if n % divisor == 0:\n factors.append(divisor)\n n //= divisor\n else:\n divisor += 1\n return factors"} +{"task_id": "HumanEval/26", "solution": "from typing import List\ndef remove_duplicates(numbers: List[int]) -> List[int]:\n \"\"\" From a list of integers, remove all elements that occur more than once.\n Keep order of elements left the same as in the input.\n >>> remove_duplicates([1, 2, 3, 2, 4])\n [1, 3, 4]\n \"\"\"\n result = []\n seen = set()\n for num in numbers:\n if num not in seen:\n seen.add(num)\n result.append(num)\n return result"} +{"task_id": "HumanEval/27", "solution": "def flip_case(string: str) -> str:\n \"\"\" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.\n >>> flip_case('Hello')\n 'hELLO'\n \"\"\"\n return ''.join([char.upper() if char.islower() else char.lower() for char in string])"} +{"task_id": "HumanEval/28", "solution": "from typing import List\ndef concatenate(strings: List[str]) -> str:\n \"\"\" Concatenate list of strings into a single string\n >>> concatenate([])\n ''\n >>> concatenate(['a', 'b', 'c'])\n 'abc'\n \"\"\"\n return ''.join(strings)"} +{"task_id": "HumanEval/29", "solution": "from typing import List\ndef filter_by_prefix(strings: List[str], prefix: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that start with a given prefix.\n >>> filter_by_prefix([], 'a')\n []\n >>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')\n ['abc', 'array']\n \"\"\"\n return [s for s in strings if s.startswith(prefix)]"} +{"task_id": "HumanEval/30", "solution": "def get_positive(l: list):\n \"\"\"Return only positive numbers in the list.\n >>> get_positive([-1, 2, -4, 5, 6])\n [2, 5, 6]\n >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n [5, 3, 2, 3, 9, 123, 1]\n \"\"\"\n return [n for n in l if n > 0]"} +{"task_id": "HumanEval/31", "solution": "def is_prime(n):\n \"\"\"Return true if a given number is prime, and false otherwise.\n \"\"\"\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True"} +{"task_id": "HumanEval/32", "solution": "import math\ndef find_zero(xs: list):\n \"\"\" xs are coefficients of a polynomial.\n find_zero find x such that poly(x) = 0.\n find_zero returns only only zero point, even if there are many.\n Moreover, find_zero only takes list xs having even number of coefficients\n and largest non zero coefficient as it guarantees\n a solution.\n \"\"\"\n if len(xs) % 2 == 0:\n return -xs[-1] / xs[-2]\n else:\n raise ValueError(\"The list of coefficients must have an even number of elements.\")"} +{"task_id": "HumanEval/33", "solution": "def sort_third(l: list):\n \"\"\"This function takes a list l and returns a list l' such that\n l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal\n to the values of the corresponding indicies of l, but sorted.\n >>> sort_third([1, 2, 3])\n [1, 2, 3]\n >>> sort_third([5, 6, 3, 4, 8, 9, 2])\n [2, 6, 3, 4, 8, 9, 5]\n \"\"\"\n divisible_by_three = [(i, v) for i, v in enumerate(l) if i % 3 == 0]\n sorted_values = sorted(v for _, v in divisible_by_three)\n l_prime = list(l)\n for (i, _), sorted_value in zip(divisible_by_three, sorted_values):\n l_prime[i] = sorted_value\n return l_prime"} +{"task_id": "HumanEval/34", "solution": "def unique(l: list):\n \"\"\"Return sorted unique elements in a list\n >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [0, 2, 3, 5, 9, 123]\n \"\"\"\n return sorted(set(l))"} +{"task_id": "HumanEval/35", "solution": "def max_element(l: list):\n \"\"\"Return maximum element in the list.\n >>> max_element([1, 2, 3])\n 3\n >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n 123\n \"\"\"\n return max(l)"} +{"task_id": "HumanEval/36", "solution": "def fizz_buzz(n: int) -> int:\n \"\"\"Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.\n \"\"\"\n count = 0\n for i in range(n):\n if i % 11 == 0 or i % 13 == 0:\n count += str(i).count('7')\n return count"} +{"task_id": "HumanEval/37", "solution": "def sort_even(l: list):\n even_indices_values = sorted([l[i] for i in range(0, len(l), 2)])\n l_prime = l[:]\n for i in range(0, len(l), 2):\n l_prime[i] = even_indices_values.pop(0)\n return l_prime"} +{"task_id": "HumanEval/38", "solution": "def decode_cyclic(s: str):\n \"\"\"\n takes as input string encoded with encode_cyclic function. Returns decoded string.\n \"\"\"\n # split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # un-cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[-1] + group[:-1]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)"} +{"task_id": "HumanEval/39", "solution": "def prime_fib(n: int):\n def is_prime(num: int):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n def fibonacci(num: int):\n fib_sequence = [0, 1]\n while len(fib_sequence) <= num:\n fib_sequence.append(fib_sequence[-1] + fib_sequence[-2])\n return fib_sequence[-1]\n\n count = 0\n num = 0\n while count < n:\n num += 1\n if is_prime(num) and fibonacci(num) == num:\n count += 1\n return num"} +{"task_id": "HumanEval/40", "solution": "def triples_sum_to_zero(l: list):\n \"\"\"\n triples_sum_to_zero takes a list of integers as an input.\n it returns True if there are three distinct elements in the list that\n sum to zero, and False otherwise.\n\n >>> triples_sum_to_zero([1, 3, 5, 0])\n False\n >>> triples_sum_to_zero([1, 3, -2, 1])\n True\n >>> triples_sum_to_zero([1, 2, 3, 7])\n False\n >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])\n True\n >>> triples_sum_to_zero([1])\n False\n \"\"\"\n l.sort()\n for i in range(len(l) - 2):\n left = i + 1\n right = len(l) - 1\n while left < right:\n current_sum = l[i] + l[left] + l[right]\n if current_sum == 0:\n return True\n elif current_sum < 0:\n left += 1\n else:\n right -= 1\n return False"} +{"task_id": "HumanEval/41", "solution": "def car_race_collision(n: int) -> int:\n \"\"\"\n Imagine a road that's a perfectly straight infinitely long line.\n n cars are driving left to right; simultaneously, a different set of n cars\n are driving right to left. The two sets of cars start out being very far from\n each other. All cars move in the same speed. Two cars are said to collide\n when a car that's moving left to right hits a car that's moving right to left.\n However, the cars are infinitely sturdy and strong; as a result, they continue moving\n in their trajectory as if they did not collide.\n\n This function outputs the number of such collisions.\n \"\"\"\n if n < 2:\n return 0\n else:\n return n * (n - 1) // 2"} +{"task_id": "HumanEval/42", "solution": "def incr_list(l: list):\n \"\"\"Return list with elements incremented by 1.\n >>> incr_list([1, 2, 3])\n [2, 3, 4]\n >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [6, 4, 6, 3, 4, 4, 10, 1, 124]\n \"\"\"\n return [i+1 for i in l]"} +{"task_id": "HumanEval/43", "solution": "def pairs_sum_to_zero(l):\n \"\"\"\n pairs_sum_to_zero takes a list of integers as an input.\n it returns True if there are two distinct elements in the list that\n sum to zero, and False otherwise.\n >>> pairs_sum_to_zero([1, 3, 5, 0])\n False\n >>> pairs_sum_to_zero([1, 3, -2, 1])\n False\n >>> pairs_sum_to_zero([1, 2, 3, 7])\n False\n >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])\n True\n >>> pairs_sum_to_zero([1])\n False\n \"\"\"\n seen = set()\n for num in l:\n if -num in seen:\n return True\n seen.add(num)\n return False"} +{"task_id": "HumanEval/44", "solution": "def change_base(x: int, base: int) -> str:\n \"\"\"Change numerical base of input number x to base.\n return string representation after the conversion.\n base numbers are less than 10.\n \"\"\"\n if x < base:\n return str(x)\n else:\n return change_base(x // base, base) + str(x % base)"} +{"task_id": "HumanEval/45", "solution": "def triangle_area(a, h):\n \"\"\"Given length of a side and high return area for a triangle.\n \"\"\"\n return 0.5 * a * h"} +{"task_id": "HumanEval/46", "solution": "def fib4(n: int) -> int:\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n elif n == 3:\n return 0\n else:\n a, b, c, d = 0, 0, 2, 0\n for _ in range(n - 4):\n a, b, c, d = b, c, d, a + b + c + d\n return d"} +{"task_id": "HumanEval/47", "solution": "def median(l: list):\n \"\"\"Return median of elements in the list l.\n >>> median([3, 1, 2, 4, 5])\n 3\n >>> median([-10, 4, 6, 1000, 10, 20])\n 15.0\n \"\"\"\n l.sort()\n n = len(l)\n if n % 2 == 0:\n return (l[n//2 - 1] + l[n//2]) / 2\n else:\n return l[n//2]"} +{"task_id": "HumanEval/48", "solution": "def is_palindrome(text: str) -> bool:\n \"\"\"\n Checks if given string is a palindrome\n >>> is_palindrome('')\n True\n >>> is_palindrome('aba')\n True\n >>> is_palindrome('aaaaa')\n True\n >>> is_palindrome('zbcd')\n False\n \"\"\"\n return text == text[::-1]"} +{"task_id": "HumanEval/49", "solution": "def modp(n: int, p: int) -> int:\n \"\"\"Return 2^n modulo p (be aware of numerics).\n \"\"\"\n return pow(2, n, p)"} +{"task_id": "HumanEval/50", "solution": "def decode_shift(s: str):\n \"\"\"\n takes as input string encoded with encode_shift function. Returns decoded string.\n \"\"\"\n return \"\".join([chr(((ord(ch) - ord(\"a\") - 5) % 26) + ord(\"a\")) for ch in s])"} +{"task_id": "HumanEval/51", "solution": "def remove_vowels(text):\n vowels = 'aeiouAEIOU'\n return ''.join([char for char in text if char not in vowels])"} +{"task_id": "HumanEval/52", "solution": "def below_threshold(l: list, t: int) -> bool:\n \"\"\"Return True if all numbers in the list l are below threshold t.\n >>> below_threshold([1, 2, 4, 10], 100)\n True\n >>> below_threshold([1, 20, 4, 10], 5)\n False\n \"\"\"\n for i in l:\n if i >= t:\n return False\n return True"} +{"task_id": "HumanEval/53", "solution": "def add(x: int, y: int):\n \"\"\"Add two numbers x and y\n >>> add(2, 3)\n 5\n >>> add(5, 7)\n 12\n \"\"\"\n return x + y"} +{"task_id": "HumanEval/54", "solution": "def same_chars(s0: str, s1: str) -> bool:\n \"\"\"\n Check if two words have the same characters.\n \"\"\"\n return sorted(s0) == sorted(s1)"} +{"task_id": "HumanEval/55", "solution": "def fib(n: int):\n \"\"\"Return n-th Fibonacci number.\n >>> fib(10)\n 55\n >>> fib(1)\n 1\n >>> fib(8)\n 21\n \"\"\"\n if n <= 0:\n return \"Input should be a positive integer.\"\n elif n == 1:\n return 1\n elif n == 2:\n return 1\n else:\n a, b = 1, 1\n for _ in range(2, n):\n a, b = b, a + b\n return b"} +{"task_id": "HumanEval/56", "solution": "def correct_bracketing(brackets: str):\n stack = []\n for bracket in brackets:\n if bracket == \"<\":\n stack.append(bracket)\n elif bracket == \">\":\n if not stack or stack[-1] != \"<\":\n return False\n stack.pop()\n return not stack"} +{"task_id": "HumanEval/57", "solution": "def monotonic(l: list):\n \"\"\"Return True is list elements are monotonically increasing or decreasing.\n >>> monotonic([1, 2, 4, 20])\n True\n >>> monotonic([1, 20, 4, 10])\n False\n >>> monotonic([4, 1, 0, -10])\n True\n \"\"\"\n return all(l[i] <= l[i + 1] for i in range(len(l) - 1)) or all(l[i] >= l[i + 1] for i in range(len(l) - 1))"} +{"task_id": "HumanEval/58", "solution": "def common(l1: list, l2: list):\n \"\"\"Return sorted unique common elements for two lists.\n >>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])\n [1, 5, 653]\n >>> common([5, 3, 2, 8], [3, 2])\n [2, 3]\n\n \"\"\"\n return sorted(list(set(l1) & set(l2)))"} +{"task_id": "HumanEval/59", "solution": "def largest_prime_factor(n: int):\n \"\"\"Return the largest prime factor of n. Assume n > 1 and is not a prime.\n \"\"\"\n i = 2\n while i * i <= n:\n if n % i:\n i += 1\n else:\n n //= i\n return n"} +{"task_id": "HumanEval/60", "solution": "def sum_to_n(n: int):\n \"\"\"sum_to_n is a function that sums numbers from 1 to n.\n \"\"\"\n return sum(range(1, n+1))"} +{"task_id": "HumanEval/61", "solution": "def correct_bracketing(brackets: str):\n stack = []\n for bracket in brackets:\n if bracket == \"(\":\n stack.append(bracket)\n elif bracket == \")\":\n if not stack:\n return False\n stack.pop()\n return not stack"} +{"task_id": "HumanEval/62", "solution": "def derivative(xs: list):\n \"\"\" xs represent coefficients of a polynomial.\n xs[0] + xs[1] * x + xs[2] * x^2 + ....\n Return derivative of this polynomial in the same form.\n >>> derivative([3, 1, 2, 4, 5])\n [1, 4, 12, 20]\n >>> derivative([1, 2, 3])\n [2, 6]\n \"\"\"\n # Skip the first coefficient as it's the constant term and its derivative is always 0\n return [i * xs[i] for i in range(1, len(xs))]"} +{"task_id": "HumanEval/63", "solution": "def fibfib(n: int):\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 1\n else:\n fibfib_values = [0, 0, 1]\n for i in range(3, n+1):\n fibfib_values.append(fibfib_values[-1] + fibfib_values[-2] + fibfib_values[-3])\n return fibfib_values[-1]"} +{"task_id": "HumanEval/64", "solution": "def vowels_count(s):\n vowels = \"aeiou\"\n count = 0\n for i in range(len(s)):\n if s[i].lower() in vowels:\n count += 1\n if s[i].lower() == 'y' and i == len(s) - 1:\n count += 1\n return count"} +{"task_id": "HumanEval/65", "solution": "def circular_shift(x, shift):\n \"\"\"Circular shift the digits of the integer x, shift the digits right by shift\n and return the result as a string.\n If shift > number of digits, return digits reversed.\n \"\"\"\n digits = list(str(x))\n if shift > len(digits):\n return ''.join(digits[::-1])\n else:\n return ''.join(digits[-shift:] + digits[:-shift])"} +{"task_id": "HumanEval/66", "solution": "def digitSum(s):\n \"\"\"\n This function takes a string as input and returns the sum of the ASCII codes of the uppercase characters in the string.\n \"\"\"\n return sum(ord(c) for c in s if c.isupper())"} +{"task_id": "HumanEval/67", "solution": "def fruit_distribution(s,n):\n apples, oranges = map(int, s.split()[::2])\n return n - apples - oranges"} +{"task_id": "HumanEval/68", "solution": "def pluck(arr):\n even_nodes = [(i, val) for i, val in enumerate(arr) if val % 2 == 0]\n if not even_nodes:\n return []\n smallest_even_node = min(even_nodes, key=lambda x: (x[1], x[0]))\n return [smallest_even_node[1], smallest_even_node[0]]"} +{"task_id": "HumanEval/69", "solution": "def search(lst):\n '''\n You are given a non-empty list of positive integers. Return the greatest integer that is greater than \n zero, and has a frequency greater than or equal to the value of the integer itself. \n The frequency of an integer is the number of times it appears in the list.\n If no such a value exist, return -1.\n Examples:\n search([4, 1, 2, 2, 3, 1]) == 2\n search([1, 2, 2, 3, 3, 3, 4, 4, 4]) == 3\n search([5, 5, 4, 4, 4]) == -1\n '''\n from collections import Counter\n count = Counter(lst)\n max_val = max(count.keys())\n for i in range(max_val, 0, -1):\n if count[i] >= i:\n return i\n return -1"} +{"task_id": "HumanEval/70", "solution": "def strange_sort_list(lst):\n lst.sort()\n result = []\n while lst:\n result.append(lst.pop(0)) # pop smallest\n if lst: # if there are still elements\n result.append(lst.pop()) # pop largest\n return result"} +{"task_id": "HumanEval/71", "solution": "import math\ndef triangle_area(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return the area of\n the triangle rounded to 2 decimal points if the three sides form a valid triangle. \n Otherwise return -1\n Three sides make a valid triangle when the sum of any two sides is greater \n than the third side.\n Example:\n triangle_area(3, 4, 5) == 6.00\n triangle_area(1, 2, 10) == -1\n '''\n # Check if the sides form a valid triangle\n if a + b > c and a + c > b and b + c > a:\n # Calculate the semi-perimeter\n s = (a + b + c) / 2\n # Calculate the area using Heron's formula\n area = math.sqrt(s * (s - a) * (s - b) * (s - c))\n return round(area, 2)\n else:\n return -1"} +{"task_id": "HumanEval/72", "solution": "def will_it_fly(q, w):\n # Check if the list is a palindrome\n if q != q[::-1]:\n return False\n # Check if the sum of the elements is less than or equal to the maximum possible weight\n if sum(q) <= w:\n return True\n else:\n return False"} +{"task_id": "HumanEval/73", "solution": "def smallest_change(arr):\n \"\"\"\n Given an array arr of integers, find the minimum number of elements that\n need to be changed to make the array palindromic. A palindromic array is an array that\n is read the same backwards and forwards. In one change, you can change one element to any other element.\n\n For example:\n smallest_change([1,2,3,5,4,7,9,6]) == 4\n smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1\n smallest_change([1, 2, 3, 2, 1]) == 0\n \"\"\"\n changes = 0\n for i in range(len(arr) // 2):\n if arr[i] != arr[-i - 1]:\n changes += 1\n return changes"} +{"task_id": "HumanEval/74", "solution": "def total_match(lst1, lst2):\n sum1 = sum(len(word) for word in lst1)\n sum2 = sum(len(word) for word in lst2)\n if sum1 < sum2:\n return lst1\n elif sum2 < sum1:\n return lst2\n else:\n return lst1"} +{"task_id": "HumanEval/75", "solution": "def is_multiply_prime(n):\n \"\"\"Write a function that returns true if the given number is the multiplication of 3 prime numbers\n and false otherwise.\n Knowing that (n) is less then 100. \n Example:\n is_multiply_prime(30) == True\n 30 = 2 * 3 * 5\n \"\"\"\n def is_prime(num):\n \"\"\"Helper function to check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n factors = []\n for i in range(2, n):\n if n % i == 0 and is_prime(i):\n factors.append(i)\n n //= i\n if len(factors) > 3:\n return False\n return len(factors) == 3 and is_prime(n)"} +{"task_id": "HumanEval/76", "solution": "def is_simple_power(x, n):\n if n == 1:\n return x == 1\n while x > 1:\n x /= n\n if x == int(x):\n continue\n else:\n return False\n return True"} +{"task_id": "HumanEval/77", "solution": "def iscube(a):\n '''\n Write a function that takes an integer a and returns True \n if this ingeger is a cube of some integer number.\n Note: you may assume the input is always valid.\n Examples:\n iscube(1) ==> True\n iscube(2) ==> False\n iscube(-1) ==> True\n iscube(64) ==> True\n iscube(0) ==> True\n iscube(180) ==> False\n '''\n x = round(a ** (1. / 3))\n return x ** 3 == a or (x+1) ** 3 == a or (x-1) ** 3 == a"} +{"task_id": "HumanEval/78", "solution": "def hex_key(num):\n prime_hex_digits = ['2', '3', '5', '7', 'B', 'D']\n return sum(1 for digit in num if digit in prime_hex_digits)"} +{"task_id": "HumanEval/79", "solution": "def decimal_to_binary(decimal):\n binary = bin(decimal)[2:]\n return 'db' + binary + 'db'"} +{"task_id": "HumanEval/80", "solution": "def is_happy(s):\n if len(s) < 3:\n return False\n for i in range(len(s) - 2):\n if len(set(s[i:i+3])) != 3:\n return False\n return True"} +{"task_id": "HumanEval/81", "solution": "def numerical_letter_grade(grades):\n \"\"\"\n This function takes a list of GPAs and returns a list of corresponding letter grades.\n \"\"\"\n letter_grades = []\n for grade in grades:\n if grade == 4.0:\n letter_grades.append('A+')\n elif grade > 3.7:\n letter_grades.append('A')\n elif grade > 3.3:\n letter_grades.append('A-')\n elif grade > 3.0:\n letter_grades.append('B+')\n elif grade > 2.7:\n letter_grades.append('B')\n elif grade > 2.3:\n letter_grades.append('B-')\n elif grade > 2.0:\n letter_grades.append('C+')\n elif grade > 1.7:\n letter_grades.append('C')\n elif grade > 1.3:\n letter_grades.append('C-')\n elif grade > 1.0:\n letter_grades.append('D+')\n elif grade > 0.7:\n letter_grades.append('D')\n elif grade > 0.0:\n letter_grades.append('D-')\n else:\n letter_grades.append('E')\n return letter_grades"} +{"task_id": "HumanEval/82", "solution": "def prime_length(string):\n length = len(string)\n if length < 2:\n return False\n for i in range(2, int(length**0.5) + 1):\n if length % i == 0:\n return False\n return True"} +{"task_id": "HumanEval/83", "solution": "def starts_one_ends(n):\n \"\"\"\n Given a positive integer n, return the count of the numbers of n-digit\n positive integers that start or end with 1.\n \"\"\"\n if n < 1:\n return 0\n elif n == 1:\n return 1\n else:\n return 2 * (9 ** (n - 1))"} +{"task_id": "HumanEval/84", "solution": "def solve(N):\n # Convert the integer to binary and remove the '0b' prefix\n binary = bin(N)[2:]\n \n # Calculate the sum of the digits\n total_sum = sum(int(digit) for digit in binary)\n \n # Convert the sum to binary and return it\n return bin(total_sum)[2:]"} +{"task_id": "HumanEval/85", "solution": "def add(lst):\n \"\"\"Given a non-empty list of integers lst. add the even elements that are at odd indices..\n\n Examples:\n add([4, 2, 6, 7]) ==> 2 \n \"\"\"\n return sum(lst[i] for i in range(1, len(lst), 2) if lst[i] % 2 == 0)"} +{"task_id": "HumanEval/86", "solution": "def anti_shuffle(s):\n words = s.split(' ')\n ordered_words = [''.join(sorted(word)) for word in words]\n return ' '.join(ordered_words)"} +{"task_id": "HumanEval/87", "solution": "def get_row(lst, x):\n if not lst:\n return []\n coordinates = []\n for i, row in enumerate(lst):\n for j, item in enumerate(row):\n if item == x:\n coordinates.append((i, j))\n return sorted(coordinates, key=lambda y: (y[0], -y[1]))"} +{"task_id": "HumanEval/88", "solution": "def sort_array(array):\n if len(array) == 0:\n return []\n elif len(array) == 1:\n return [array[0]]\n else:\n sorted_array = sorted(array)\n if (array[0] + array[-1]) % 2 == 0:\n return sorted_array[::-1]\n else:\n return sorted_array"} +{"task_id": "HumanEval/89", "solution": "def encrypt(s):\n encrypted_string = \"\"\n for char in s:\n if char.isalpha():\n ascii_offset = 65 if char.isupper() else 97\n encrypted_string += chr((ord(char) - ascii_offset + 2*2) % 26 + ascii_offset)\n else:\n encrypted_string += char\n return encrypted_string"} +{"task_id": "HumanEval/90", "solution": "def next_smallest(lst):\n if len(lst) < 2:\n return None\n lst = list(set(lst)) # remove duplicates\n lst.sort() # sort the list\n return lst[1] if len(lst) > 1 else None"} +{"task_id": "HumanEval/91", "solution": "def is_bored(S):\n \"\"\"\n You'll be given a string of words, and your task is to count the number\n of boredoms. A boredom is a sentence that starts with the word \"I\".\n Sentences are delimited by '.', '?' or '!'.\n \n For example:\n >>> is_bored(\"Hello world\")\n 0\n >>> is_bored(\"The sky is blue. The sun is shining. I love this weather\")\n 1\n \"\"\"\n # Split the string into sentences\n sentences = [sentence.strip() for sentence in re.split('[.!?]', S) if sentence]\n\n # Count the number of sentences starting with \"I\"\n boredoms = sum(1 for sentence in sentences if sentence.startswith('I'))\n\n return boredoms"} +{"task_id": "HumanEval/92", "solution": "def any_int(x, y, z):\n if isinstance(x, int) and isinstance(y, int) and isinstance(z, int):\n if x == y + z or y == x + z or z == x + y:\n return True\n return False"} +{"task_id": "HumanEval/93", "solution": "def encode(message):\n vowels = 'aeiou'\n encoded_message = ''\n for char in message:\n if char.isalpha():\n if char.lower() in vowels:\n encoded_message += chr((ord(char) - 97 + 2) % 26 + 97).upper() if char.islower() else chr((ord(char) - 65 + 2) % 26 + 65)\n else:\n encoded_message += chr((ord(char) - 97) % 26 + 97).upper() if char.islower() else chr((ord(char) - 65) % 26 + 65)\n else:\n encoded_message += char\n return encoded_message"} +{"task_id": "HumanEval/94", "solution": "def is_prime(n):\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True\n\ndef sum_of_digits(n):\n return sum(int(digit) for digit in str(n))\n\ndef largest_prime_and_sum_of_digits(lst):\n largest_prime = max(num for num in lst if is_prime(num))\n return sum_of_digits(largest_prime)\n\n# Test cases"} +{"task_id": "HumanEval/95", "solution": "def check_dict_case(dictionary):\n if not dictionary:\n return False\n keys = list(dictionary.keys())\n if all(isinstance(key, str) for key in keys):\n return all(key.islower() or key.isupper() for key in keys)\n return False"} +{"task_id": "HumanEval/96", "solution": "def count_up_to(n):\n def is_prime(num):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n primes = [x for x in range(2, n) if is_prime(x)]\n return primes"} +{"task_id": "HumanEval/97", "solution": "def multiply(a, b):\n # Extract the unit digits of the numbers\n unit_digit_a = abs(a) % 10\n unit_digit_b = abs(b) % 10\n\n # Return the product of the unit digits\n return unit_digit_a * unit_digit_b"} +{"task_id": "HumanEval/98", "solution": "def count_upper(s):\n \"\"\"\n Given a string s, count the number of uppercase vowels in even indices.\n \n For example:\n count_upper('aBCdEf') returns 1\n count_upper('abcdefg') returns 0\n count_upper('dBBE') returns 0\n \"\"\"\n vowels = 'AEIOU'\n return sum(1 for i in range(0, len(s), 2) if s[i] in vowels)"} +{"task_id": "HumanEval/99", "solution": "def closest_integer(value):\n num = float(value)\n if num > 0:\n return int(num + 0.5)\n else:\n return int(num - 0.5)"} +{"task_id": "HumanEval/100", "solution": "def make_a_pile(n):\n stones = [n]\n for i in range(1, n):\n if n % 2 == 0:\n stones.append(n + 2*i)\n else:\n stones.append(n + 2*i)\n return stones"} +{"task_id": "HumanEval/101", "solution": "def words_string(s):\n return s.replace(',', '').split()"} +{"task_id": "HumanEval/102", "solution": "def choose_num(x, y):\n \"\"\"This function takes two positive numbers x and y and returns the\n biggest even integer number that is in the range [x, y] inclusive. If \n there's no such number, then the function should return -1.\n\n For example:\n choose_num(12, 15) = 14\n choose_num(13, 12) = -1\n \"\"\"\n if x > y:\n return -1\n else:\n if x % 2 == 0:\n return y if y % 2 == 0 else y - 1\n else:\n return y if y % 2 == 0 else y - 1 if y - 1 > x else -1"} +{"task_id": "HumanEval/103", "solution": "def rounded_avg(n, m):\n if n > m:\n return -1\n else:\n avg = round((n + m) / 2)\n return bin(avg)"} +{"task_id": "HumanEval/104", "solution": "def unique_digits(x):\n \"\"\"Given a list of positive integers x. return a sorted list of all \n elements that hasn't any even digit.\n\n Note: Returned list should be sorted in increasing order.\n \n For example:\n >>> unique_digits([15, 33, 1422, 1])\n [1, 15, 33]\n >>> unique_digits([152, 323, 1422, 10])\n []\n \"\"\"\n def has_even_digit(n):\n \"\"\"Check if a number has an even digit.\"\"\"\n return any(int(digit) % 2 == 0 for digit in str(n))\n\n return sorted([num for num in x if not has_even_digit(num)])"} +{"task_id": "HumanEval/105", "solution": "def by_length(arr):\n # Define a dictionary to map numbers to their names\n num_to_name = {1: \"One\", 2: \"Two\", 3: \"Three\", 4: \"Four\", 5: \"Five\", 6: \"Six\", 7: \"Seven\", 8: \"Eight\", 9: \"Nine\"}\n\n # Filter out numbers not in the range 1-9 and sort the remaining numbers\n arr = sorted([num for num in arr if 1 <= num <= 9])\n\n # Reverse the array\n arr = arr[::-1]\n\n # Replace each number with its corresponding name\n arr = [num_to_name[num] for num in arr]\n\n return arr"} +{"task_id": "HumanEval/106", "solution": "def f(n):\n def factorial(x):\n if x == 0 or x == 1:\n return 1\n else:\n return x * factorial(x - 1)\n\n def sum_to_n(x):\n return int(x * (x + 1) / 2)\n\n result = []\n for i in range(1, n+1):\n if i % 2 == 0:\n result.append(factorial(i))\n else:\n result.append(sum_to_n(i))\n return result"} +{"task_id": "HumanEval/107", "solution": "def even_odd_palindrome(n):\n def is_palindrome(num):\n return str(num) == str(num)[::-1]\n\n even_count = sum(is_palindrome(i) and i % 2 == 0 for i in range(1, n+1))\n odd_count = sum(is_palindrome(i) and i % 2 != 0 for i in range(1, n+1))\n\n return (even_count, odd_count)"} +{"task_id": "HumanEval/108", "solution": "def count_nums(arr):\n def sum_digits(n):\n return sum(int(d) for d in str(n))\n\n return sum(1 for n in arr if sum_digits(n) > 0)"} +{"task_id": "HumanEval/109", "solution": "def move_one_ball(arr):\n if len(arr) == 0:\n return True\n count = 0\n for i in range(len(arr)):\n if arr[i] > arr[(i+1)%len(arr)]:\n count += 1\n if count > 1:\n return False\n return True"} +{"task_id": "HumanEval/110", "solution": "def exchange(lst1, lst2):\n odd_lst1 = sum(x % 2 != 0 for x in lst1)\n even_lst2 = sum(x % 2 == 0 for x in lst2)\n return \"YES\" if odd_lst1 <= even_lst2 else \"NO\""} +{"task_id": "HumanEval/111", "solution": "def histogram(test):\n # Create an empty dictionary\n hist = {}\n # Split the string into a list of words\n words = test.split()\n # Iterate over the list of words\n for word in words:\n # If the word is already in the dictionary, increment its count\n if word in hist:\n hist[word] += 1\n # Otherwise, add it to the dictionary with a count of 1\n else:\n hist[word] = 1\n # Find the maximum count\n max_count = max(hist.values(), default=0)\n # Return a dictionary containing only the words with the maximum count\n return {word: count for word, count in hist.items() if count == max_count}"} +{"task_id": "HumanEval/112", "solution": "def reverse_delete(s, c):\n # Delete all the characters in s that are equal to any character in c\n for char in c:\n s = s.replace(char, '')\n\n # Check if the result string is palindrome\n is_palindrome = s == s[::-1]\n\n return (s, is_palindrome)"} +{"task_id": "HumanEval/113", "solution": "def odd_count(lst):\n result = []\n for i, s in enumerate(lst):\n odd_digits = sum(int(c) % 2 for c in s)\n template = \"the number of odd elements {}n the str{}ng {} of the {}nput.\"\n result.append(template.format(odd_digits, odd_digits, odd_digits, odd_digits))\n return result"} +{"task_id": "HumanEval/114", "solution": "def minSubArraySum(nums):\n \"\"\"\n Given an array of integers nums, find the minimum sum of any non-empty sub-array\n of nums.\n Example\n minSubArraySum([2, 3, 4, 1, 2, 4]) == 1\n minSubArraySum([-1, -2, -3]) == -6\n \"\"\"\n min_sum = float('inf')\n current_sum = 0\n for num in nums:\n current_sum += num\n if current_sum < min_sum:\n min_sum = current_sum\n if current_sum > 0:\n current_sum = 0\n return min_sum"} +{"task_id": "HumanEval/115", "solution": "import math\ndef max_fill(grid, capacity):\n # Flatten the grid and count the number of 1s\n flat_grid = [item for sublist in grid for item in sublist]\n total_wells = sum(flat_grid)\n\n # Calculate the number of buckets needed\n buckets_needed = math.ceil(total_wells / capacity)\n\n return buckets_needed"} +{"task_id": "HumanEval/116", "solution": "def sort_array(arr):\n def count_ones(n):\n return bin(n).count('1')\n\n return sorted(arr, key=lambda x: (count_ones(x), x))"} +{"task_id": "HumanEval/117", "solution": "def select_words(s, n):\n vowels = 'aeiou'\n words = s.split()\n result = []\n for word in words:\n count = 0\n for letter in word:\n if letter.lower() not in vowels:\n count += 1\n if count == n:\n result.append(word)\n return result"} +{"task_id": "HumanEval/118", "solution": "def get_closest_vowel(word):\n vowels = \"AEIOUaeiou\"\n for i in range(len(word) - 2, 0, -1):\n if word[i] in vowels and word[i-1] not in vowels and word[i+1] not in vowels:\n return word[i]\n return \"\""} +{"task_id": "HumanEval/119", "solution": "def match_parens(lst):\n # Initialize counters for open and close parentheses\n open_count = 0\n close_count = 0\n\n # Iterate over each string in the list\n for string in lst:\n # Iterate over each character in the string\n for char in string:\n # If the character is an open parenthesis, increment the counter\n if char == '(':\n open_count += 1\n # If the character is a close parenthesis, increment the counter\n elif char == ')':\n close_count += 1\n\n # If the number of open parentheses is greater than or equal to the number of close parentheses,\n # it's possible to make a good string\n if open_count >= close_count:\n return 'Yes'\n else:\n return 'No'"} +{"task_id": "HumanEval/120", "solution": "def maximum(arr, k):\n \"\"\"\n Given an array arr of integers and a positive integer k, return a sorted list \n of length k with the maximum k numbers in arr.\n\n Example 1:\n\n Input: arr = [-3, -4, 5], k = 3\n Output: [-4, -3, 5]\n\n Example 2:\n\n Input: arr = [4, -4, 4], k = 2\n Output: [4, 4]\n\n Example 3:\n\n Input: arr = [-3, 2, 1, 2, -1, -2, 1], k = 1\n Output: [2]\n\n Note:\n 1. The length of the array will be in the range of [1, 1000].\n 2. The elements in the array will be in the range of [-1000, 1000].\n 3. 0 <= k <= len(arr)\n \"\"\"\n # Sort the array in descending order\n arr.sort(reverse=True)\n # Return the first k elements\n return arr[:k]"} +{"task_id": "HumanEval/121", "solution": "def solution(lst):\n return sum(el for i, el in enumerate(lst) if i % 2 == 0 and el % 2 != 0)"} +{"task_id": "HumanEval/122", "solution": "def add_elements(arr, k):\n \"\"\"\n Given a non-empty array of integers arr and an integer k, return\n the sum of the elements with at most two digits from the first k elements of arr.\n\n Example:\n\n Input: arr = [111,21,3,4000,5,6,7,8,9], k = 4\n Output: 24 # sum of 21 + 3\n\n Constraints:\n 1. 1 <= len(arr) <= 100\n 2. 1 <= k <= len(arr)\n \"\"\"\n # Initialize sum to 0\n total_sum = 0\n\n # Iterate over the first k elements of arr\n for i in range(k):\n # If the number of digits in the current element is at most 2, add it to the sum\n if len(str(arr[i])) <= 2:\n total_sum += arr[i]\n\n return total_sum\narr = [111,21,3,4000,5,6,7,8,9]\nk = 4"} +{"task_id": "HumanEval/123", "solution": "def get_odd_collatz(n):\n def collatz(n):\n sequence = [n]\n while n != 1:\n if n % 2 == 0:\n n = n // 2\n else:\n n = 3 * n + 1\n sequence.append(n)\n return sequence\n\n odd_numbers = [num for num in collatz(n) if num % 2 != 0]\n return sorted(list(set(odd_numbers)))"} +{"task_id": "HumanEval/124", "solution": "def valid_date(date):\n if date == '':\n return False\n else:\n try:\n month, day, year = map(int, date.split('-'))\n except ValueError:\n return False\n\n if month < 1 or month > 12:\n return False\n\n if month in [4, 6, 9, 11] and (day < 1 or day > 30):\n return False\n elif month == 2 and (day < 1 or day > 29):\n return False\n elif (day < 1 or day > 31):\n return False\n\n return True"} +{"task_id": "HumanEval/125", "solution": "def split_words(txt):\n words = txt.split()\n if len(words) > 1:\n return words\n words = txt.split(',')\n if len(words) > 1:\n return words\n return sum(1 for c in txt if c.islower() and (ord(c) - ord('a')) % 2 != 0)"} +{"task_id": "HumanEval/126", "solution": "def is_sorted(lst):\n if len(lst) < 2:\n return True\n else:\n for i in range(len(lst)-1):\n if lst[i] >= lst[i+1]:\n return False\n return True"} +{"task_id": "HumanEval/127", "solution": "def intersection(interval1, interval2):\n # Determine the intersection of the two intervals\n intersection_start = max(interval1[0], interval2[0])\n intersection_end = min(interval1[1], interval2[1])\n\n # If the intervals don't intersect, return \"NO\"\n if intersection_start > intersection_end:\n return \"NO\"\n\n # Calculate the length of the intersection\n intersection_length = intersection_end - intersection_start + 1\n\n # Check if the length of the intersection is a prime number\n if intersection_length < 2:\n return \"NO\"\n for i in range(2, int(intersection_length ** 0.5) + 1):\n if intersection_length % i == 0:\n return \"NO\"\n return \"YES\""} +{"task_id": "HumanEval/128", "solution": "def prod_signs(arr):\n if not arr:\n return None\n sign_product = 1\n magnitude_sum = 0\n for num in arr:\n if num < 0:\n sign_product *= -1\n magnitude_sum += abs(num)\n return sign_product * magnitude_sum"} +{"task_id": "HumanEval/129", "solution": "import heapq\ndef minPath(grid, k):\n n = len(grid)\n pq, visited, res = [], set(), []\n for r in range(n):\n for c in range(n):\n pq.append((grid[r][c], r, c))\n heapq.heapify(pq)\n while len(res) < k:\n v, r, c = heapq.heappop(pq)\n if (r, c) not in visited:\n res.append(v)\n visited.add((r, c))\n for nr, nc in ((r-1, c), (r+1, c), (r, c-1), (r, c+1)):\n if 0 <= nr < n and 0 <= nc < n and (nr, nc) not in visited:\n heapq.heappush(pq, (grid[nr][nc], nr, nc))\n return res"} +{"task_id": "HumanEval/130", "solution": "def tri(n):\n if n < 0:\n raise ValueError(\"Input must be a non-negative integer.\")\n elif n == 0:\n return [0]\n elif n == 1:\n return [1, 3]\n elif n == 2:\n return [1, 3, 2]\n else:\n sequence = [1, 3, 2]\n for i in range(3, n + 1):\n if i % 2 == 0:\n sequence.append(1 + i // 2)\n else:\n sequence.append(sequence[-1] + sequence[-2] + sequence[-3])\n return sequence"} +{"task_id": "HumanEval/131", "solution": "def digits(n):\n product = 1\n for digit in str(n):\n if int(digit) % 2 != 0:\n product *= int(digit)\n return product"} +{"task_id": "HumanEval/132", "solution": "def is_nested(string):\n stack = []\n for bracket in string:\n if bracket == '[':\n stack.append(bracket)\n elif bracket == ']':\n if len(stack) == 0:\n return False\n stack.pop()\n return len(stack) == 0"} +{"task_id": "HumanEval/133", "solution": "def sum_squares(lst):\n \"\"\"You are given a list of numbers.\n You need to return the sum of squared numbers in the given list,\n round each element in the list to the upper int(Ceiling) first.\n Examples:\n For lst = [1,2,3] the output should be 14\n For lst = [1,4,9] the output should be 98\n For lst = [1,3,5,7] the output should be 84\n For lst = [1.4,4.2,0] the output should be 29\n For lst = [-2.4,1,1] the output should be 6\n \"\"\"\n return sum(int(abs(num) + 0.99) ** 2 for num in lst)"} +{"task_id": "HumanEval/134", "solution": "def check_if_last_char_is_a_letter(txt):\n if not txt or txt[-1] == ' ':\n return False\n return txt[-1].isalpha() and txt[-2] == ' '"} +{"task_id": "HumanEval/135", "solution": "def can_arrange(arr):\n \"\"\"Create a function which returns the largest index of an element which\n is not greater than or equal to the element immediately preceding it. If\n no such element exists then return -1. The given array will not contain\n duplicate values.\n\n Examples:\n can_arrange([1,2,4,3,5]) = 3\n can_arrange([1,2,3]) = -1\n \"\"\"\n for i in range(len(arr) - 1, 0, -1):\n if arr[i] < arr[i - 1]:\n return i\n return -1"} +{"task_id": "HumanEval/136", "solution": "def largest_smallest_integers(lst):\n neg_max = None\n pos_min = None\n\n for num in lst:\n if num < 0:\n if neg_max is None or num > neg_max:\n neg_max = num\n elif num > 0:\n if pos_min is None or num < pos_min:\n pos_min = num\n\n return (neg_max, pos_min)"} +{"task_id": "HumanEval/137", "solution": "def compare_one(a, b):\n # Check if a and b are of the same type\n if type(a) != type(b):\n return None\n\n # If a and b are both integers or floats, return the larger one\n if isinstance(a, (int, float)):\n if a == b:\n return None\n else:\n return max(a, b)\n\n # If a and b are both strings, replace ',' with '.' and return the larger one\n if isinstance(a, str):\n a = float(a.replace(',', '.'))\n b = float(b.replace(',', '.'))\n if a == b:\n return None\n else:\n return max(a, b)"} +{"task_id": "HumanEval/138", "solution": "def is_equal_to_sum_even(n):\n \"\"\"Evaluate whether the given number n can be written as the sum of exactly 4 positive even numbers\"\"\"\n if n < 10:\n return False\n else:\n return n % 4 == 0"} +{"task_id": "HumanEval/139", "solution": "def special_factorial(n):\n def factorial(n):\n if n == 0:\n return 1\n else:\n return n * factorial(n-1)\n\n result = 1\n for i in range(n, 0, -1):\n result *= factorial(i)\n\n return result"} +{"task_id": "HumanEval/140", "solution": "def fix_spaces(text):\n result = []\n i = 0\n while i < len(text):\n if text[i] == ' ':\n if i + 1 < len(text) and text[i+1] == ' ':\n result.append('-')\n while i < len(text) and text[i] == ' ':\n i += 1\n else:\n result.append('_')\n i += 1\n else:\n result.append(text[i])\n i += 1\n return ''.join(result)"} +{"task_id": "HumanEval/141", "solution": "import re\ndef file_name_check(file_name):\n \"\"\"Create a function which takes a string representing a file's name, and returns\n 'Yes' if the the file's name is valid, and returns 'No' otherwise.\n A file's name is considered to be valid if and only if all the following conditions \n are met:\n - There should not be more than three digits ('0'-'9') in the file's name.\n - The file's name contains exactly one dot '.'\n - The substring before the dot should not be empty, and it starts with a letter from \n the latin alphapet ('a'-'z' and 'A'-'Z').\n - The substring after the dot should be one of these: ['txt', 'exe', 'dll']\n Examples:\n file_name_check(\"example.txt\") # => 'Yes'\n file_name_check(\"1example.dll\") # => 'No' (the name should start with a latin alphapet letter)\n \"\"\"\n # Check if there are more than 3 digits in the file name\n if len(re.findall(r'\\d', file_name)) > 3:\n return 'No'\n\n # Check if there is exactly one dot in the file name\n if file_name.count('.') != 1:\n return 'No'\n\n # Split the file name into the name and extension\n name, extension = file_name.split('.')\n\n # Check if the name starts with a letter and is not empty\n if not name or not name[0].isalpha():\n return 'No'\n\n # Check if the extension is one of the allowed ones\n if extension not in ['txt', 'exe', 'dll']:\n return 'No'\n\n return 'Yes'"} +{"task_id": "HumanEval/142", "solution": "def sum_squares(lst):\n return sum(num**3 if i%3==0 and i%4!=0 else num**2 if i%4==0 else num for i, num in enumerate(lst))"} +{"task_id": "HumanEval/143", "solution": "def words_in_sentence(sentence):\n def is_prime(n):\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True\n\n words = sentence.split()\n prime_words = [word for word in words if is_prime(len(word))]\n return ' '.join(prime_words)"} +{"task_id": "HumanEval/144", "solution": "def simplify(x, n):\n x_num, x_den = map(int, x.split('/'))\n n_num, n_den = map(int, n.split('/'))\n\n # Calculate the numerator and denominator of the simplified fraction\n new_num = x_num * n_num\n new_den = x_den * n_den\n\n # Check if the simplified fraction is a whole number\n return new_num % new_den == 0"} +{"task_id": "HumanEval/145", "solution": "def order_by_points(nums):\n return sorted(nums, key=lambda x: (sum(int(digit) for digit in str(abs(x))), nums.index(x)))"} +{"task_id": "HumanEval/146", "solution": "def specialFilter(nums):\n count = 0\n for num in nums:\n if num > 10 and str(abs(num))[0] in '13579' and str(abs(num))[-1] in '13579':\n count += 1\n return count"} +{"task_id": "HumanEval/147", "solution": "def get_max_triples(n):\n a = [i * i - i + 1 for i in range(1, n+1)]\n count = 0\n for i in range(n):\n for j in range(i+1, n):\n for k in range(j+1, n):\n if (a[i] + a[j] + a[k]) % 3 == 0:\n count += 1\n return count"} +{"task_id": "HumanEval/148", "solution": "def bf(planet1, planet2):\n planets = [\"Mercury\", \"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\", \"Uranus\", \"Neptune\"]\n if planet1 not in planets or planet2 not in planets:\n return ()\n else:\n start = min(planets.index(planet1), planets.index(planet2))\n end = max(planets.index(planet1), planets.index(planet2))\n return tuple(planets[start+1:end])"} +{"task_id": "HumanEval/149", "solution": "def sorted_list_sum(lst):\n # Filter out strings with odd lengths\n lst = [word for word in lst if len(word) % 2 == 0]\n # Sort the list by length and then alphabetically\n lst.sort()\n lst.sort(key=len)\n return lst"} +{"task_id": "HumanEval/150", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\ndef x_or_y(n, x, y):\n \"\"\"Return x if n is prime, otherwise return y.\"\"\"\n return x if is_prime(n) else y"} +{"task_id": "HumanEval/151", "solution": "def double_the_difference(lst):\n if not lst:\n return 0\n else:\n return sum([i**2 for i in lst if i > 0 and isinstance(i, int) and i%2 != 0])"} +{"task_id": "HumanEval/152", "solution": "def compare(game, guess):\n return [abs(g - h) for g, h in zip(game, guess)]"} +{"task_id": "HumanEval/153", "solution": "def Strongest_Extension(class_name, extensions):\n strongest_extension = extensions[0]\n strongest_strength = sum([1 for c in strongest_extension if c.isupper()]) - sum([1 for c in strongest_extension if c.islower()])\n\n for extension in extensions[1:]:\n strength = sum([1 for c in extension if c.isupper()]) - sum([1 for c in extension if c.islower()])\n if strength > strongest_strength:\n strongest_extension = extension\n strongest_strength = strength\n\n return f\"{class_name}.{strongest_extension}\""} +{"task_id": "HumanEval/154", "solution": "def cycpattern_check(a , b):\n \"\"\"\n This function checks if the second word or any of its rotations is a substring in the first word.\n \"\"\"\n # Check if b is a substring of a\n if b in a:\n return True\n\n # Check if any rotation of b is a substring of a\n for i in range(len(b)):\n if b[i:] + b[:i] in a:\n return True\n\n return False"} +{"task_id": "HumanEval/155", "solution": "def even_odd_count(num):\n even_count = 0\n odd_count = 0\n for digit in str(abs(num)):\n if int(digit) % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n return (even_count, odd_count)"} +{"task_id": "HumanEval/156", "solution": "def int_to_mini_roman(number):\n val = [\n 1000, 900, 500, 400,\n 100, 90, 50, 40,\n 10, 9, 5, 4,\n 1\n ]\n syb = [\n 'm', 'cm', 'd', 'cd',\n 'c', 'xc', 'l', 'xl',\n 'x', 'ix', 'v', 'iv',\n 'i'\n ]\n roman_num = ''\n i = 0\n while number > 0:\n for _ in range(number // val[i]):\n roman_num += syb[i]\n number -= val[i]\n i += 1\n return roman_num"} +{"task_id": "HumanEval/157", "solution": "def right_angle_triangle(a, b, c):\n # Sort the sides of the triangle\n sides = sorted([a, b, c])\n\n # Check if the triangle is right-angled\n return sides[0]**2 + sides[1]**2 == sides[2]**2"} +{"task_id": "HumanEval/158", "solution": "def find_max(words):\n max_unique_chars = 0\n max_word = ''\n for word in words:\n unique_chars = len(set(word))\n if unique_chars > max_unique_chars:\n max_unique_chars = unique_chars\n max_word = word\n elif unique_chars == max_unique_chars:\n max_word = min(word, max_word)\n return max_word"} +{"task_id": "HumanEval/159", "solution": "def eat(number, need, remaining):\n if need <= remaining:\n return [number + need, remaining - need]\n else:\n return [number + remaining, 0]"} +{"task_id": "HumanEval/160", "solution": "def do_algebra(operator, operand):\n # Initialize the result as the first operand\n result = operand[0]\n\n # Iterate over the operators and operands\n for i in range(len(operator)):\n # Perform the operation based on the operator\n if operator[i] == '+':\n result += operand[i+1]\n elif operator[i] == '-':\n result -= operand[i+1]\n elif operator[i] == '*':\n result *= operand[i+1]\n elif operator[i] == '//':\n result //= operand[i+1]\n elif operator[i] == '**':\n result **= operand[i+1]\n\n return result"} +{"task_id": "HumanEval/161", "solution": "def solve(s):\n if not any(char.isalpha() for char in s):\n return s[::-1]\n else:\n return ''.join([char.upper() if char.islower() else char.lower() for char in s])"} +{"task_id": "HumanEval/162", "solution": "import hashlib\ndef string_to_md5(text):\n \"\"\"\n Given a string 'text', return its md5 hash equivalent string.\n If 'text' is an empty string, return None.\n\n >>> string_to_md5('Hello world') == '3e25960a79dbc69b674cd4ec67a72c62'\n \"\"\"\n if text == \"\":\n return None\n else:\n return hashlib.md5(text.encode()).hexdigest()"} +{"task_id": "HumanEval/163", "solution": "def generate_integers(a, b):\n # Swap a and b if a is greater than b\n if a > b:\n a, b = b, a\n\n # Initialize an empty list to store the even numbers\n even_numbers = []\n\n # Iterate over the range from a to b\n for i in range(a, b+1):\n # Check if the number is even\n if i % 2 == 0:\n # If it is, append it to the list\n even_numbers.append(i)\n\n # Return the list of even numbers\n return even_numbers"} diff --git a/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.raw.jsonl b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.raw.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a671f78aa5af39e80fbc634365e57d2271aa5dc0 --- /dev/null +++ b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.raw.jsonl @@ -0,0 +1,164 @@ +{"task_id": "HumanEval/0", "solution": "from typing import List\n\ndef has_close_elements(numbers: List[float], threshold: float) -> bool:\n \"\"\" Check if in given list of numbers, are any two numbers closer to each other than\n given threshold.\n \"\"\"\n numbers.sort()\n for i in range(1, len(numbers)):\n if numbers[i] - numbers[i - 1] < threshold:\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/1", "solution": "from typing import List\n\ndef separate_paren_groups(paren_string: str) -> List[str]:\n paren_string = paren_string.replace(\" \", \"\") # Remove spaces\n stack = []\n groups = []\n current_group = \"\"\n for char in paren_string:\n if char == \"(\":\n if current_group:\n stack.append(current_group)\n current_group = \"\"\n stack.append(char)\n elif char == \")\":\n stack.append(char)\n current_group = \"\".join(stack[-2:])\n if stack.count(\"(\") == stack.count(\")\"):\n groups.append(current_group)\n stack = []\n current_group = \"\"\n else:\n raise ValueError(\"Invalid character in input string\")\n if stack:\n raise ValueError(\"Unbalanced parentheses in input string\")\n return groups\n\n# Test the function"} +{"task_id": "HumanEval/2", "solution": "def truncate_number(number: float) -> float:\n \"\"\" Given a positive floating point number, it can be decomposed into\n and integer part (largest integer smaller than given number) and decimals\n (leftover part always smaller than 1).\n\n Return the decimal part of the number.\n \"\"\"\n # Using the modulus operator to get the decimal part of the number\n return number % 1\n\n# Testing the function"} +{"task_id": "HumanEval/3", "solution": "from typing import List\n\ndef below_zero(operations: List[int]) -> bool:\n balance = 0\n for operation in operations:\n balance += operation\n if balance < 0:\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/4", "solution": "from typing import List\n\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\" For a given list of input numbers, calculate Mean Absolute Deviation\n around the mean of this dataset.\n Mean Absolute Deviation is the average absolute difference between each\n element and a centerpoint (mean in this case):\n MAD = average | x - x_mean |\n >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])\n 1.0\n \"\"\"\n mean = sum(numbers) / len(numbers)\n abs_diffs = [abs(x - mean) for x in numbers]\n mad = sum(abs_diffs) / len(abs_diffs)\n return mad\n\n# Test the function"} +{"task_id": "HumanEval/5", "solution": "from typing import List\n\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n \"\"\" Insert a number 'delimeter' between every two consecutive elements of input list `numbers'\n >>> intersperse([], 4)\n []\n >>> intersperse([1, 2, 3], 4)\n [1, 4, 2, 4, 3]\n \"\"\"\n result = []\n for i in range(len(numbers)):\n result.append(numbers[i])\n if i < len(numbers) - 1:\n result.append(delimeter)\n return result\n\n# Test cases"} +{"task_id": "HumanEval/6", "solution": "from typing import List\n\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.\n For each of the group, output the deepest level of nesting of parentheses.\n E.g. (()()) has maximum two levels of nesting while ((())) has three.\n\n >>> parse_nested_parens('(()()) ((())) () ((())()())')\n [2, 3, 1, 3]\n \"\"\"\n # Split the string into groups of parentheses\n groups = paren_string.split()\n\n # Initialize an empty list to store the maximum depth of each group\n max_depths = []\n\n # Iterate over each group\n for group in groups:\n # Initialize a counter for the current depth and the maximum depth\n current_depth = 0\n max_depth = 0\n\n # Iterate over each character in the group\n for char in group:\n # If the character is an opening parenthesis, increment the current depth\n if char == '(':\n current_depth += 1\n # If the current depth is greater than the maximum depth, update the maximum depth\n if current_depth > max_depth:\n max_depth = current_depth\n # If the character is a closing parenthesis, decrement the current depth\n elif char == ')':\n current_depth -= 1\n\n # Append the maximum depth to the list of maximum depths\n max_depths.append(max_depth)\n\n return max_depths\n\n# Test the function with the provided example"} +{"task_id": "HumanEval/7", "solution": "from typing import List\n\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that contain given substring\n >>> filter_by_substring([], 'a')\n []\n >>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')\n ['abc', 'bacd', 'array']\n \"\"\"\n return [s for s in strings if substring in s]\n\n# Testing the function"} +{"task_id": "HumanEval/8", "solution": "from typing import List, Tuple\n\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"\"\" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.\n Empty sum should be equal to 0 and empty product should be equal to 1.\n >>> sum_product([])\n (0, 1)\n >>> sum_product([1, 2, 3, 4])\n (10, 24)\n \"\"\"\n sum_numbers = 0\n product_numbers = 1\n for num in numbers:\n sum_numbers += num\n product_numbers *= num\n return (sum_numbers, product_numbers)\n\n# Test cases"} +{"task_id": "HumanEval/9", "solution": "from typing import List, Tuple\n\ndef rolling_max(numbers: List[int]) -> List[int]:\n if not numbers:\n return []\n\n max_nums = [numbers[0]]\n for i in range(1, len(numbers)):\n max_nums.append(max(max_nums[i-1], numbers[i]))\n\n return max_nums\n\n# Testing the function"} +{"task_id": "HumanEval/10", "solution": "def is_palindrome(string: str) -> bool:\n \"\"\" Test if given string is a palindrome \"\"\"\n return string == string[::-1]\n\n\ndef make_palindrome(string: str) -> str:\n \"\"\" Find the shortest palindrome that begins with a supplied string.\n Algorithm idea is simple:\n - Find the longest postfix of supplied string that is a palindrome.\n - Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.\n >>> make_palindrome('')\n ''\n >>> make_palindrome('cat')\n 'catac'\n >>> make_palindrome('cata')\n 'catac'\n \"\"\"\n if is_palindrome(string):\n return string\n\n for i in range(len(string)):\n if is_palindrome(string[i:]):\n return string + string[:i][::-1]\n\n# Test cases"} +{"task_id": "HumanEval/11", "solution": "from typing import List\n\ndef string_xor(a: str, b: str) -> str:\n \"\"\" Input are two strings a and b consisting only of 1s and 0s.\n Perform binary XOR on these inputs and return result also as a string.\n >>> string_xor('010', '110')\n '100'\n \"\"\"\n # Ensure both strings are of the same length\n max_len = max(len(a), len(b))\n a = a.zfill(max_len)\n b = b.zfill(max_len)\n\n # Perform XOR operation\n result = ''\n for i in range(max_len):\n result += str(int(a[i]) ^ int(b[i]))\n\n return result\n\n# Test the function"} +{"task_id": "HumanEval/12", "solution": "from typing import List, Optional\n\ndef longest(strings: List[str]) -> Optional[str]:\n if not strings:\n return None\n longest_string = strings[0]\n for string in strings:\n if len(string) > len(longest_string):\n longest_string = string\n return longest_string\n\n# Test cases"} +{"task_id": "HumanEval/13", "solution": "def greatest_common_divisor(a: int, b: int) -> int:\n \"\"\" Return a greatest common divisor of two integers a and b\n >>> greatest_common_divisor(3, 5)\n 1\n >>> greatest_common_divisor(25, 15)\n 5\n \"\"\"\n while b != 0:\n a, b = b, a % b\n return a\n\n# Test cases"} +{"task_id": "HumanEval/14", "solution": "from typing import List\n\ndef all_prefixes(string: str) -> List[str]:\n \"\"\" Return list of all prefixes from shortest to longest of the input string\n >>> all_prefixes('abc')\n ['a', 'ab', 'abc']\n \"\"\"\n return [string[i:] for i in range(len(string))]\n\n# Testing the function"} +{"task_id": "HumanEval/15", "solution": "def string_sequence(n: int) -> str:\n return ' '.join(str(i) for i in range(n+1))\n\n# Test cases"} +{"task_id": "HumanEval/16", "solution": "def count_distinct_characters(string: str) -> int:\n \"\"\" Given a string, find out how many distinct characters (regardless of case) does it consist of\n >>> count_distinct_characters('xyzXYZ')\n 3\n >>> count_distinct_characters('Jerry')\n 4\n \"\"\"\n return len(set(string.lower()))\n\n# Test cases"} +{"task_id": "HumanEval/17", "solution": "from typing import List\n\ndef parse_music(music_string: str) -> List[int]:\n notes = music_string.split()\n beats = []\n for note in notes:\n if note == 'o':\n beats.append(4)\n elif note == 'o|':\n beats.append(2)\n elif note == '.|':\n beats.append(1)\n return beats\n\n# Test the function"} +{"task_id": "HumanEval/18", "solution": "def how_many_times(string: str, substring: str) -> int:\n count = start = 0\n while start < len(string):\n pos = string.find(substring, start)\n if pos != -1:\n start = pos + 1\n count += 1\n else:\n break\n return count\n\n# Test cases"} +{"task_id": "HumanEval/19", "solution": "from typing import List\n\ndef sort_numbers(numbers: str) -> str:\n \"\"\" Input is a space-delimited string of numberals from 'zero' to 'nine'.\n Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.\n Return the string with numbers sorted from smallest to largest\n >>> sort_numbers('three one five')\n 'one three five'\n \"\"\"\n num_dict = {'zero':0, 'one':1, 'two':2, 'three':3, 'four':4, 'five':5, 'six':6, 'seven':7, 'eight':8, 'nine':9}\n return ' '.join(sorted(numbers.split(), key=lambda x: num_dict[x]))\n\n# Test cases"} +{"task_id": "HumanEval/20", "solution": "from typing import List, Tuple\n\ndef find_closest_elements(numbers: List[float]) -> Tuple[float, float]:\n \"\"\" From a supplied list of numbers (of length at least two) select and return two that are the closest to each\n other and return them in order (smaller number, larger number).\n \"\"\"\n numbers.sort()\n min_diff = float('inf')\n result = (0, 0)\n for i in range(1, len(numbers)):\n diff = numbers[i] - numbers[i - 1]\n if diff < min_diff:\n min_diff = diff\n result = (numbers[i - 1], numbers[i])\n return result\n\n# Test cases"} +{"task_id": "HumanEval/21", "solution": "from typing import List\n\ndef rescale_to_unit(numbers: List[float]) -> List[float]:\n min_num = min(numbers)\n max_num = max(numbers)\n range_num = max_num - min_num\n return [(num - min_num) / range_num for num in numbers]\n\n# Test the function\nassert rescale_to_unit([1.0, 2.0, 3.0, 4.0, 5.0]) == [0.0, 0.25, 0.5, 0.75, 1.0]"} +{"task_id": "HumanEval/22", "solution": "from typing import List, Any\n\ndef filter_integers(values: List[Any]) -> List[int]:\n \"\"\" Filter given list of any python values only for integers\n >>> filter_integers(['a', 3.14, 5])\n [5]\n >>> filter_integers([1, 2, 3, 'abc', {}, []])\n [1, 2, 3]\n \"\"\"\n return [value for value in values if isinstance(value, int)]\n\n# Testing the function"} +{"task_id": "HumanEval/23", "solution": "def strlen(string: str) -> int:\n \"\"\" Return length of given string\n >>> strlen('')\n 0\n >>> strlen('abc')\n 3\n \"\"\"\n return len(string)\n\n# Testing the function"} +{"task_id": "HumanEval/24", "solution": "def largest_divisor(n: int) -> int:\n \"\"\" For a given number n, find the largest number that divides n evenly, smaller than n\n >>> largest_divisor(15)\n 5\n \"\"\"\n for i in range(n-1, 0, -1):\n if n % i == 0:\n return i\n\n# Testing the function"} +{"task_id": "HumanEval/25", "solution": "from typing import List\n\ndef factorize(n: int) -> List[int]:\n factors = []\n divisor = 2\n while divisor <= n:\n if n % divisor == 0:\n factors.append(divisor)\n n //= divisor\n else:\n divisor += 1\n return factors\n\n# Test cases"} +{"task_id": "HumanEval/26", "solution": "from typing import List\n\ndef remove_duplicates(numbers: List[int]) -> List[int]:\n \"\"\" From a list of integers, remove all elements that occur more than once.\n Keep order of elements left the same as in the input.\n >>> remove_duplicates([1, 2, 3, 2, 4])\n [1, 3, 4]\n \"\"\"\n result = []\n seen = set()\n for num in numbers:\n if num not in seen:\n seen.add(num)\n result.append(num)\n return result\n\n# Test the function"} +{"task_id": "HumanEval/27", "solution": "def flip_case(string: str) -> str:\n \"\"\" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.\n >>> flip_case('Hello')\n 'hELLO'\n \"\"\"\n return ''.join([char.upper() if char.islower() else char.lower() for char in string])\n\n# Test the function"} +{"task_id": "HumanEval/28", "solution": "from typing import List\n\ndef concatenate(strings: List[str]) -> str:\n \"\"\" Concatenate list of strings into a single string\n >>> concatenate([])\n ''\n >>> concatenate(['a', 'b', 'c'])\n 'abc'\n \"\"\"\n return ''.join(strings)\n\n# Test cases"} +{"task_id": "HumanEval/29", "solution": "from typing import List\n\ndef filter_by_prefix(strings: List[str], prefix: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that start with a given prefix.\n >>> filter_by_prefix([], 'a')\n []\n >>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')\n ['abc', 'array']\n \"\"\"\n return [s for s in strings if s.startswith(prefix)]\n\n# Testing the function"} +{"task_id": "HumanEval/30", "solution": "def get_positive(l: list):\n \"\"\"Return only positive numbers in the list.\n >>> get_positive([-1, 2, -4, 5, 6])\n [2, 5, 6]\n >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n [5, 3, 2, 3, 9, 123, 1]\n \"\"\"\n return [n for n in l if n > 0]\n\n# Testing the function"} +{"task_id": "HumanEval/31", "solution": "def is_prime(n):\n \"\"\"Return true if a given number is prime, and false otherwise.\n \"\"\"\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True\n\n# Test cases"} +{"task_id": "HumanEval/32", "solution": "import math\n\ndef poly(xs: list, x: float):\n \"\"\"\n Evaluates polynomial with coefficients xs at point x.\n return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n\n \"\"\"\n return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])\n\ndef find_zero(xs: list):\n \"\"\" xs are coefficients of a polynomial.\n find_zero find x such that poly(x) = 0.\n find_zero returns only only zero point, even if there are many.\n Moreover, find_zero only takes list xs having even number of coefficients\n and largest non zero coefficient as it guarantees\n a solution.\n \"\"\"\n if len(xs) % 2 == 0:\n return -xs[-1] / xs[-2]\n else:\n raise ValueError(\"The list of coefficients must have an even number of elements.\")\n\n# Test cases"} +{"task_id": "HumanEval/33", "solution": "def sort_third(l: list):\n \"\"\"This function takes a list l and returns a list l' such that\n l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal\n to the values of the corresponding indicies of l, but sorted.\n >>> sort_third([1, 2, 3])\n [1, 2, 3]\n >>> sort_third([5, 6, 3, 4, 8, 9, 2])\n [2, 6, 3, 4, 8, 9, 5]\n \"\"\"\n divisible_by_three = [(i, v) for i, v in enumerate(l) if i % 3 == 0]\n sorted_values = sorted(v for _, v in divisible_by_three)\n l_prime = list(l)\n for (i, _), sorted_value in zip(divisible_by_three, sorted_values):\n l_prime[i] = sorted_value\n return l_prime\n\n# Test cases"} +{"task_id": "HumanEval/34", "solution": "def unique(l: list):\n \"\"\"Return sorted unique elements in a list\n >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [0, 2, 3, 5, 9, 123]\n \"\"\"\n return sorted(set(l))\n\n# Test the function"} +{"task_id": "HumanEval/35", "solution": "def max_element(l: list):\n \"\"\"Return maximum element in the list.\n >>> max_element([1, 2, 3])\n 3\n >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n 123\n \"\"\"\n return max(l)\n\n# Test cases"} +{"task_id": "HumanEval/36", "solution": "def fizz_buzz(n: int) -> int:\n \"\"\"Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.\n \"\"\"\n count = 0\n for i in range(n):\n if i % 11 == 0 or i % 13 == 0:\n count += str(i).count('7')\n return count\n\n# Test cases"} +{"task_id": "HumanEval/37", "solution": "def sort_even(l: list):\n even_indices_values = sorted([l[i] for i in range(0, len(l), 2)])\n l_prime = l[:]\n for i in range(0, len(l), 2):\n l_prime[i] = even_indices_values.pop(0)\n return l_prime\n\n# Test cases"} +{"task_id": "HumanEval/38", "solution": "def encode_cyclic(s: str):\n \"\"\"\n returns encoded string by cycling groups of three characters.\n \"\"\"\n # split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[1:] + group[0]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)\n\n\ndef decode_cyclic(s: str):\n \"\"\"\n takes as input string encoded with encode_cyclic function. Returns decoded string.\n \"\"\"\n # split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # un-cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[-1] + group[:-1]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)\n\n\n# Test cases\noriginal_string = \"Hello, World!\"\nencoded_string = encode_cyclic(original_string)\ndecoded_string = decode_cyclic(encoded_string)\n"} +{"task_id": "HumanEval/39", "solution": "def prime_fib(n: int):\n def is_prime(num: int):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n def fibonacci(num: int):\n fib_sequence = [0, 1]\n while len(fib_sequence) <= num:\n fib_sequence.append(fib_sequence[-1] + fib_sequence[-2])\n return fib_sequence[-1]\n\n count = 0\n num = 0\n while count < n:\n num += 1\n if is_prime(num) and fibonacci(num) == num:\n count += 1\n return num\n\n# Test cases"} +{"task_id": "HumanEval/40", "solution": "def triples_sum_to_zero(l: list):\n \"\"\"\n triples_sum_to_zero takes a list of integers as an input.\n it returns True if there are three distinct elements in the list that\n sum to zero, and False otherwise.\n\n >>> triples_sum_to_zero([1, 3, 5, 0])\n False\n >>> triples_sum_to_zero([1, 3, -2, 1])\n True\n >>> triples_sum_to_zero([1, 2, 3, 7])\n False\n >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])\n True\n >>> triples_sum_to_zero([1])\n False\n \"\"\"\n l.sort()\n for i in range(len(l) - 2):\n left = i + 1\n right = len(l) - 1\n while left < right:\n current_sum = l[i] + l[left] + l[right]\n if current_sum == 0:\n return True\n elif current_sum < 0:\n left += 1\n else:\n right -= 1\n return False\n\n# Test cases"} +{"task_id": "HumanEval/41", "solution": "def car_race_collision(n: int) -> int:\n \"\"\"\n Imagine a road that's a perfectly straight infinitely long line.\n n cars are driving left to right; simultaneously, a different set of n cars\n are driving right to left. The two sets of cars start out being very far from\n each other. All cars move in the same speed. Two cars are said to collide\n when a car that's moving left to right hits a car that's moving right to left.\n However, the cars are infinitely sturdy and strong; as a result, they continue moving\n in their trajectory as if they did not collide.\n\n This function outputs the number of such collisions.\n \"\"\"\n if n < 2:\n return 0\n else:\n return n * (n - 1) // 2\n\n# Test cases\nassert car_race_collision(0) == 0\nassert car_race_collision(1) == 0\nassert car_race_collision(2) == 1\nassert car_race_collision(3) == 3\nassert car_race_collision(4) == 6\nassert car_race_collision(5) == 10"} +{"task_id": "HumanEval/42", "solution": "def incr_list(l: list):\n \"\"\"Return list with elements incremented by 1.\n >>> incr_list([1, 2, 3])\n [2, 3, 4]\n >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [6, 4, 6, 3, 4, 4, 10, 1, 124]\n \"\"\"\n return [i+1 for i in l]\n\n# Testing the function"} +{"task_id": "HumanEval/43", "solution": "def pairs_sum_to_zero(l):\n \"\"\"\n pairs_sum_to_zero takes a list of integers as an input.\n it returns True if there are two distinct elements in the list that\n sum to zero, and False otherwise.\n >>> pairs_sum_to_zero([1, 3, 5, 0])\n False\n >>> pairs_sum_to_zero([1, 3, -2, 1])\n False\n >>> pairs_sum_to_zero([1, 2, 3, 7])\n False\n >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])\n True\n >>> pairs_sum_to_zero([1])\n False\n \"\"\"\n seen = set()\n for num in l:\n if -num in seen:\n return True\n seen.add(num)\n return False\n\n# Test cases"} +{"task_id": "HumanEval/44", "solution": "def change_base(x: int, base: int) -> str:\n \"\"\"Change numerical base of input number x to base.\n return string representation after the conversion.\n base numbers are less than 10.\n \"\"\"\n if x < base:\n return str(x)\n else:\n return change_base(x // base, base) + str(x % base)\n\n# Test cases"} +{"task_id": "HumanEval/45", "solution": "def triangle_area(a, h):\n \"\"\"Given length of a side and high return area for a triangle.\n \"\"\"\n return 0.5 * a * h\n\n# Test the function\nassert triangle_area(5, 3) == 7.5, \"Test case 1 failed\"\nassert triangle_area(10, 2) == 10.0, \"Test case 2 failed\"\nassert triangle_area(3, 4) == 6.0, \"Test case 3 failed\"\n"} +{"task_id": "HumanEval/46", "solution": "def fib4(n: int) -> int:\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n elif n == 3:\n return 0\n else:\n a, b, c, d = 0, 0, 2, 0\n for _ in range(n - 4):\n a, b, c, d = b, c, d, a + b + c + d\n return d\n\n# Test cases"} +{"task_id": "HumanEval/47", "solution": "def median(l: list):\n \"\"\"Return median of elements in the list l.\n >>> median([3, 1, 2, 4, 5])\n 3\n >>> median([-10, 4, 6, 1000, 10, 20])\n 15.0\n \"\"\"\n l.sort()\n n = len(l)\n if n % 2 == 0:\n return (l[n//2 - 1] + l[n//2]) / 2\n else:\n return l[n//2]\n\n# Test cases"} +{"task_id": "HumanEval/48", "solution": "def is_palindrome(text: str) -> bool:\n \"\"\"\n Checks if given string is a palindrome\n >>> is_palindrome('')\n True\n >>> is_palindrome('aba')\n True\n >>> is_palindrome('aaaaa')\n True\n >>> is_palindrome('zbcd')\n False\n \"\"\"\n return text == text[::-1]\n\n# Test cases"} +{"task_id": "HumanEval/49", "solution": "def modp(n: int, p: int) -> int:\n \"\"\"Return 2^n modulo p (be aware of numerics).\n \"\"\"\n return pow(2, n, p)\n\n# Test cases"} +{"task_id": "HumanEval/50", "solution": "def encode_shift(s: str):\n \"\"\"\n returns encoded string by shifting every character by 5 in the alphabet.\n \"\"\"\n return \"\".join([chr(((ord(ch) - ord(\"a\") + 5) % 26) + ord(\"a\")) for ch in s])\n\n\ndef decode_shift(s: str):\n \"\"\"\n takes as input string encoded with encode_shift function. Returns decoded string.\n \"\"\"\n return \"\".join([chr(((ord(ch) - ord(\"a\") - 5) % 26) + ord(\"a\")) for ch in s])\n\n\n# Testing\noriginal_text = \"hello\"\nencoded_text = encode_shift(original_text)\ndecoded_text = decode_shift(encoded_text)\n"} +{"task_id": "HumanEval/51", "solution": "def remove_vowels(text):\n vowels = 'aeiouAEIOU'\n return ''.join([char for char in text if char not in vowels])\n\n# Test cases"} +{"task_id": "HumanEval/52", "solution": "def below_threshold(l: list, t: int) -> bool:\n \"\"\"Return True if all numbers in the list l are below threshold t.\n >>> below_threshold([1, 2, 4, 10], 100)\n True\n >>> below_threshold([1, 20, 4, 10], 5)\n False\n \"\"\"\n for i in l:\n if i >= t:\n return False\n return True\n\n# Test cases"} +{"task_id": "HumanEval/53", "solution": "def add(x: int, y: int):\n \"\"\"Add two numbers x and y\n >>> add(2, 3)\n 5\n >>> add(5, 7)\n 12\n \"\"\"\n return x + y\n\n# Testing the function"} +{"task_id": "HumanEval/54", "solution": "def same_chars(s0: str, s1: str) -> bool:\n \"\"\"\n Check if two words have the same characters.\n \"\"\"\n return sorted(s0) == sorted(s1)\n\n# Test cases"} +{"task_id": "HumanEval/55", "solution": "def fib(n: int):\n \"\"\"Return n-th Fibonacci number.\n >>> fib(10)\n 55\n >>> fib(1)\n 1\n >>> fib(8)\n 21\n \"\"\"\n if n <= 0:\n return \"Input should be a positive integer.\"\n elif n == 1:\n return 1\n elif n == 2:\n return 1\n else:\n a, b = 1, 1\n for _ in range(2, n):\n a, b = b, a + b\n return b\n\n# Testing the function"} +{"task_id": "HumanEval/56", "solution": "def correct_bracketing(brackets: str):\n stack = []\n for bracket in brackets:\n if bracket == \"<\":\n stack.append(bracket)\n elif bracket == \">\":\n if not stack or stack[-1] != \"<\":\n return False\n stack.pop()\n return not stack\n\n# Test cases"} +{"task_id": "HumanEval/57", "solution": "def monotonic(l: list):\n \"\"\"Return True is list elements are monotonically increasing or decreasing.\n >>> monotonic([1, 2, 4, 20])\n True\n >>> monotonic([1, 20, 4, 10])\n False\n >>> monotonic([4, 1, 0, -10])\n True\n \"\"\"\n return all(l[i] <= l[i + 1] for i in range(len(l) - 1)) or all(l[i] >= l[i + 1] for i in range(len(l) - 1))\n\n# Test cases"} +{"task_id": "HumanEval/58", "solution": "def common(l1: list, l2: list):\n \"\"\"Return sorted unique common elements for two lists.\n >>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])\n [1, 5, 653]\n >>> common([5, 3, 2, 8], [3, 2])\n [2, 3]\n\n \"\"\"\n return sorted(list(set(l1) & set(l2)))\n\n# Test cases"} +{"task_id": "HumanEval/59", "solution": "def largest_prime_factor(n: int):\n \"\"\"Return the largest prime factor of n. Assume n > 1 and is not a prime.\n \"\"\"\n i = 2\n while i * i <= n:\n if n % i:\n i += 1\n else:\n n //= i\n return n\n\n# Test cases"} +{"task_id": "HumanEval/60", "solution": "def sum_to_n(n: int):\n \"\"\"sum_to_n is a function that sums numbers from 1 to n.\n \"\"\"\n return sum(range(1, n+1))\n\n# Test cases"} +{"task_id": "HumanEval/61", "solution": "def correct_bracketing(brackets: str):\n stack = []\n for bracket in brackets:\n if bracket == \"(\":\n stack.append(bracket)\n elif bracket == \")\":\n if not stack:\n return False\n stack.pop()\n return not stack\n\n# Test cases"} +{"task_id": "HumanEval/62", "solution": "def derivative(xs: list):\n \"\"\" xs represent coefficients of a polynomial.\n xs[0] + xs[1] * x + xs[2] * x^2 + ....\n Return derivative of this polynomial in the same form.\n >>> derivative([3, 1, 2, 4, 5])\n [1, 4, 12, 20]\n >>> derivative([1, 2, 3])\n [2, 6]\n \"\"\"\n # Skip the first coefficient as it's the constant term and its derivative is always 0\n return [i * xs[i] for i in range(1, len(xs))]\n\n# Test cases"} +{"task_id": "HumanEval/63", "solution": "def fibfib(n: int):\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 1\n else:\n fibfib_values = [0, 0, 1]\n for i in range(3, n+1):\n fibfib_values.append(fibfib_values[-1] + fibfib_values[-2] + fibfib_values[-3])\n return fibfib_values[-1]\n\n# Test cases"} +{"task_id": "HumanEval/64", "solution": "def vowels_count(s):\n vowels = \"aeiou\"\n count = 0\n for i in range(len(s)):\n if s[i].lower() in vowels:\n count += 1\n if s[i].lower() == 'y' and i == len(s) - 1:\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/65", "solution": "def circular_shift(x, shift):\n \"\"\"Circular shift the digits of the integer x, shift the digits right by shift\n and return the result as a string.\n If shift > number of digits, return digits reversed.\n \"\"\"\n digits = list(str(x))\n if shift > len(digits):\n return ''.join(digits[::-1])\n else:\n return ''.join(digits[-shift:] + digits[:-shift])\n\n# Test cases"} +{"task_id": "HumanEval/66", "solution": "def digitSum(s):\n \"\"\"\n This function takes a string as input and returns the sum of the ASCII codes of the uppercase characters in the string.\n \"\"\"\n return sum(ord(c) for c in s if c.isupper())\n\n# Test cases"} +{"task_id": "HumanEval/67", "solution": "def fruit_distribution(s,n):\n apples, oranges = map(int, s.split()[::2])\n return n - apples - oranges\n\n# Test cases"} +{"task_id": "HumanEval/68", "solution": "def pluck(arr):\n even_nodes = [(i, val) for i, val in enumerate(arr) if val % 2 == 0]\n if not even_nodes:\n return []\n smallest_even_node = min(even_nodes, key=lambda x: (x[1], x[0]))\n return [smallest_even_node[1], smallest_even_node[0]]\n\n# Test cases"} +{"task_id": "HumanEval/69", "solution": "def search(lst):\n '''\n You are given a non-empty list of positive integers. Return the greatest integer that is greater than \n zero, and has a frequency greater than or equal to the value of the integer itself. \n The frequency of an integer is the number of times it appears in the list.\n If no such a value exist, return -1.\n Examples:\n search([4, 1, 2, 2, 3, 1]) == 2\n search([1, 2, 2, 3, 3, 3, 4, 4, 4]) == 3\n search([5, 5, 4, 4, 4]) == -1\n '''\n from collections import Counter\n count = Counter(lst)\n max_val = max(count.keys())\n for i in range(max_val, 0, -1):\n if count[i] >= i:\n return i\n return -1\n\n# Test cases"} +{"task_id": "HumanEval/70", "solution": "def strange_sort_list(lst):\n lst.sort()\n result = []\n while lst:\n result.append(lst.pop(0)) # pop smallest\n if lst: # if there are still elements\n result.append(lst.pop()) # pop largest\n return result\n\n# Test cases"} +{"task_id": "HumanEval/71", "solution": "import math\n\ndef triangle_area(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return the area of\n the triangle rounded to 2 decimal points if the three sides form a valid triangle. \n Otherwise return -1\n Three sides make a valid triangle when the sum of any two sides is greater \n than the third side.\n Example:\n triangle_area(3, 4, 5) == 6.00\n triangle_area(1, 2, 10) == -1\n '''\n # Check if the sides form a valid triangle\n if a + b > c and a + c > b and b + c > a:\n # Calculate the semi-perimeter\n s = (a + b + c) / 2\n # Calculate the area using Heron's formula\n area = math.sqrt(s * (s - a) * (s - b) * (s - c))\n return round(area, 2)\n else:\n return -1\n\n# Test cases"} +{"task_id": "HumanEval/72", "solution": "def will_it_fly(q, w):\n # Check if the list is a palindrome\n if q != q[::-1]:\n return False\n # Check if the sum of the elements is less than or equal to the maximum possible weight\n if sum(q) <= w:\n return True\n else:\n return False\n\n# Test cases"} +{"task_id": "HumanEval/73", "solution": "def smallest_change(arr):\n \"\"\"\n Given an array arr of integers, find the minimum number of elements that\n need to be changed to make the array palindromic. A palindromic array is an array that\n is read the same backwards and forwards. In one change, you can change one element to any other element.\n\n For example:\n smallest_change([1,2,3,5,4,7,9,6]) == 4\n smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1\n smallest_change([1, 2, 3, 2, 1]) == 0\n \"\"\"\n changes = 0\n for i in range(len(arr) // 2):\n if arr[i] != arr[-i - 1]:\n changes += 1\n return changes\n\n# Test cases"} +{"task_id": "HumanEval/74", "solution": "def total_match(lst1, lst2):\n sum1 = sum(len(word) for word in lst1)\n sum2 = sum(len(word) for word in lst2)\n if sum1 < sum2:\n return lst1\n elif sum2 < sum1:\n return lst2\n else:\n return lst1\n\n# Test cases"} +{"task_id": "HumanEval/75", "solution": "def is_multiply_prime(n):\n \"\"\"Write a function that returns true if the given number is the multiplication of 3 prime numbers\n and false otherwise.\n Knowing that (n) is less then 100. \n Example:\n is_multiply_prime(30) == True\n 30 = 2 * 3 * 5\n \"\"\"\n def is_prime(num):\n \"\"\"Helper function to check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n factors = []\n for i in range(2, n):\n if n % i == 0 and is_prime(i):\n factors.append(i)\n n //= i\n if len(factors) > 3:\n return False\n return len(factors) == 3 and is_prime(n)\n\n# Test cases"} +{"task_id": "HumanEval/76", "solution": "def is_simple_power(x, n):\n if n == 1:\n return x == 1\n while x > 1:\n x /= n\n if x == int(x):\n continue\n else:\n return False\n return True\n\n# Test cases"} +{"task_id": "HumanEval/77", "solution": "def iscube(a):\n '''\n Write a function that takes an integer a and returns True \n if this ingeger is a cube of some integer number.\n Note: you may assume the input is always valid.\n Examples:\n iscube(1) ==> True\n iscube(2) ==> False\n iscube(-1) ==> True\n iscube(64) ==> True\n iscube(0) ==> True\n iscube(180) ==> False\n '''\n x = round(a ** (1. / 3))\n return x ** 3 == a or (x+1) ** 3 == a or (x-1) ** 3 == a\n\n# Test cases"} +{"task_id": "HumanEval/78", "solution": "def hex_key(num):\n prime_hex_digits = ['2', '3', '5', '7', 'B', 'D']\n return sum(1 for digit in num if digit in prime_hex_digits)\n\n# Test cases"} +{"task_id": "HumanEval/79", "solution": "def decimal_to_binary(decimal):\n binary = bin(decimal)[2:]\n return 'db' + binary + 'db'\n\n# Test cases"} +{"task_id": "HumanEval/80", "solution": "def is_happy(s):\n if len(s) < 3:\n return False\n for i in range(len(s) - 2):\n if len(set(s[i:i+3])) != 3:\n return False\n return True\n\n# Test cases"} +{"task_id": "HumanEval/81", "solution": "def numerical_letter_grade(grades):\n \"\"\"\n This function takes a list of GPAs and returns a list of corresponding letter grades.\n \"\"\"\n letter_grades = []\n for grade in grades:\n if grade == 4.0:\n letter_grades.append('A+')\n elif grade > 3.7:\n letter_grades.append('A')\n elif grade > 3.3:\n letter_grades.append('A-')\n elif grade > 3.0:\n letter_grades.append('B+')\n elif grade > 2.7:\n letter_grades.append('B')\n elif grade > 2.3:\n letter_grades.append('B-')\n elif grade > 2.0:\n letter_grades.append('C+')\n elif grade > 1.7:\n letter_grades.append('C')\n elif grade > 1.3:\n letter_grades.append('C-')\n elif grade > 1.0:\n letter_grades.append('D+')\n elif grade > 0.7:\n letter_grades.append('D')\n elif grade > 0.0:\n letter_grades.append('D-')\n else:\n letter_grades.append('E')\n return letter_grades\n\n# Test the function\nassert(numerical_letter_grade([4.0, 3, 1.7, 2, 3.5]) == ['A+', 'B', 'C-', 'C', 'A-'])"} +{"task_id": "HumanEval/82", "solution": "def prime_length(string):\n length = len(string)\n if length < 2:\n return False\n for i in range(2, int(length**0.5) + 1):\n if length % i == 0:\n return False\n return True\n\n# Test cases"} +{"task_id": "HumanEval/83", "solution": "def starts_one_ends(n):\n \"\"\"\n Given a positive integer n, return the count of the numbers of n-digit\n positive integers that start or end with 1.\n \"\"\"\n if n < 1:\n return 0\n elif n == 1:\n return 1\n else:\n return 2 * (9 ** (n - 1))\n\n# Test cases"} +{"task_id": "HumanEval/84", "solution": "def solve(N):\n # Convert the integer to binary and remove the '0b' prefix\n binary = bin(N)[2:]\n \n # Calculate the sum of the digits\n total_sum = sum(int(digit) for digit in binary)\n \n # Convert the sum to binary and return it\n return bin(total_sum)[2:]\n\n# Test cases"} +{"task_id": "HumanEval/85", "solution": "def add(lst):\n \"\"\"Given a non-empty list of integers lst. add the even elements that are at odd indices..\n\n Examples:\n add([4, 2, 6, 7]) ==> 2 \n \"\"\"\n return sum(lst[i] for i in range(1, len(lst), 2) if lst[i] % 2 == 0)\n\n# Test cases"} +{"task_id": "HumanEval/86", "solution": "def anti_shuffle(s):\n words = s.split(' ')\n ordered_words = [''.join(sorted(word)) for word in words]\n return ' '.join(ordered_words)\n\n# Test cases"} +{"task_id": "HumanEval/87", "solution": "def get_row(lst, x):\n if not lst:\n return []\n coordinates = []\n for i, row in enumerate(lst):\n for j, item in enumerate(row):\n if item == x:\n coordinates.append((i, j))\n return sorted(coordinates, key=lambda y: (y[0], -y[1]))\n\n# Test cases"} +{"task_id": "HumanEval/88", "solution": "def sort_array(array):\n if len(array) == 0:\n return []\n elif len(array) == 1:\n return [array[0]]\n else:\n sorted_array = sorted(array)\n if (array[0] + array[-1]) % 2 == 0:\n return sorted_array[::-1]\n else:\n return sorted_array\n\n# Test cases"} +{"task_id": "HumanEval/89", "solution": "def encrypt(s):\n encrypted_string = \"\"\n for char in s:\n if char.isalpha():\n ascii_offset = 65 if char.isupper() else 97\n encrypted_string += chr((ord(char) - ascii_offset + 2*2) % 26 + ascii_offset)\n else:\n encrypted_string += char\n return encrypted_string\n\n# Test cases"} +{"task_id": "HumanEval/90", "solution": "def next_smallest(lst):\n if len(lst) < 2:\n return None\n lst = list(set(lst)) # remove duplicates\n lst.sort() # sort the list\n return lst[1] if len(lst) > 1 else None\n\n# Test cases"} +{"task_id": "HumanEval/91", "solution": "def is_bored(S):\n \"\"\"\n You'll be given a string of words, and your task is to count the number\n of boredoms. A boredom is a sentence that starts with the word \"I\".\n Sentences are delimited by '.', '?' or '!'.\n \n For example:\n >>> is_bored(\"Hello world\")\n 0\n >>> is_bored(\"The sky is blue. The sun is shining. I love this weather\")\n 1\n \"\"\"\n # Split the string into sentences\n sentences = [sentence.strip() for sentence in re.split('[.!?]', S) if sentence]\n\n # Count the number of sentences starting with \"I\"\n boredoms = sum(1 for sentence in sentences if sentence.startswith('I'))\n\n return boredoms\n\n# Test the function"} +{"task_id": "HumanEval/92", "solution": "def any_int(x, y, z):\n if isinstance(x, int) and isinstance(y, int) and isinstance(z, int):\n if x == y + z or y == x + z or z == x + y:\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/93", "solution": "def encode(message):\n vowels = 'aeiou'\n encoded_message = ''\n for char in message:\n if char.isalpha():\n if char.lower() in vowels:\n encoded_message += chr((ord(char) - 97 + 2) % 26 + 97).upper() if char.islower() else chr((ord(char) - 65 + 2) % 26 + 65)\n else:\n encoded_message += chr((ord(char) - 97) % 26 + 97).upper() if char.islower() else chr((ord(char) - 65) % 26 + 65)\n else:\n encoded_message += char\n return encoded_message\n\n# Test cases"} +{"task_id": "HumanEval/94", "solution": "def is_prime(n):\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True\n\ndef sum_of_digits(n):\n return sum(int(digit) for digit in str(n))\n\ndef largest_prime_and_sum_of_digits(lst):\n largest_prime = max(num for num in lst if is_prime(num))\n return sum_of_digits(largest_prime)\n\n# Test cases"} +{"task_id": "HumanEval/95", "solution": "def check_dict_case(dictionary):\n if not dictionary:\n return False\n keys = list(dictionary.keys())\n if all(isinstance(key, str) for key in keys):\n return all(key.islower() or key.isupper() for key in keys)\n return False\n\n# Test cases"} +{"task_id": "HumanEval/96", "solution": "def count_up_to(n):\n def is_prime(num):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n primes = [x for x in range(2, n) if is_prime(x)]\n return primes\n\n# Test cases"} +{"task_id": "HumanEval/97", "solution": "def multiply(a, b):\n # Extract the unit digits of the numbers\n unit_digit_a = abs(a) % 10\n unit_digit_b = abs(b) % 10\n\n # Return the product of the unit digits\n return unit_digit_a * unit_digit_b\n\n# Test cases"} +{"task_id": "HumanEval/98", "solution": "def count_upper(s):\n \"\"\"\n Given a string s, count the number of uppercase vowels in even indices.\n \n For example:\n count_upper('aBCdEf') returns 1\n count_upper('abcdefg') returns 0\n count_upper('dBBE') returns 0\n \"\"\"\n vowels = 'AEIOU'\n return sum(1 for i in range(0, len(s), 2) if s[i] in vowels)\n\n# Test cases"} +{"task_id": "HumanEval/99", "solution": "def closest_integer(value):\n num = float(value)\n if num > 0:\n return int(num + 0.5)\n else:\n return int(num - 0.5)\n\n# Test cases"} +{"task_id": "HumanEval/100", "solution": "def make_a_pile(n):\n stones = [n]\n for i in range(1, n):\n if n % 2 == 0:\n stones.append(n + 2*i)\n else:\n stones.append(n + 2*i)\n return stones\n\n# Test cases"} +{"task_id": "HumanEval/101", "solution": "def words_string(s):\n return s.replace(',', '').split()\n\n# Test cases"} +{"task_id": "HumanEval/102", "solution": "def choose_num(x, y):\n \"\"\"This function takes two positive numbers x and y and returns the\n biggest even integer number that is in the range [x, y] inclusive. If \n there's no such number, then the function should return -1.\n\n For example:\n choose_num(12, 15) = 14\n choose_num(13, 12) = -1\n \"\"\"\n if x > y:\n return -1\n else:\n if x % 2 == 0:\n return y if y % 2 == 0 else y - 1\n else:\n return y if y % 2 == 0 else y - 1 if y - 1 > x else -1\n\n# Test cases"} +{"task_id": "HumanEval/103", "solution": "def rounded_avg(n, m):\n if n > m:\n return -1\n else:\n avg = round((n + m) / 2)\n return bin(avg)\n\n# Test cases"} +{"task_id": "HumanEval/104", "solution": "def unique_digits(x):\n \"\"\"Given a list of positive integers x. return a sorted list of all \n elements that hasn't any even digit.\n\n Note: Returned list should be sorted in increasing order.\n \n For example:\n >>> unique_digits([15, 33, 1422, 1])\n [1, 15, 33]\n >>> unique_digits([152, 323, 1422, 10])\n []\n \"\"\"\n def has_even_digit(n):\n \"\"\"Check if a number has an even digit.\"\"\"\n return any(int(digit) % 2 == 0 for digit in str(n))\n\n return sorted([num for num in x if not has_even_digit(num)])\n\n# Test cases"} +{"task_id": "HumanEval/105", "solution": "def by_length(arr):\n # Define a dictionary to map numbers to their names\n num_to_name = {1: \"One\", 2: \"Two\", 3: \"Three\", 4: \"Four\", 5: \"Five\", 6: \"Six\", 7: \"Seven\", 8: \"Eight\", 9: \"Nine\"}\n\n # Filter out numbers not in the range 1-9 and sort the remaining numbers\n arr = sorted([num for num in arr if 1 <= num <= 9])\n\n # Reverse the array\n arr = arr[::-1]\n\n # Replace each number with its corresponding name\n arr = [num_to_name[num] for num in arr]\n\n return arr\n\n# Test the function"} +{"task_id": "HumanEval/106", "solution": "def f(n):\n def factorial(x):\n if x == 0 or x == 1:\n return 1\n else:\n return x * factorial(x - 1)\n\n def sum_to_n(x):\n return int(x * (x + 1) / 2)\n\n result = []\n for i in range(1, n+1):\n if i % 2 == 0:\n result.append(factorial(i))\n else:\n result.append(sum_to_n(i))\n return result\n\n# Test cases"} +{"task_id": "HumanEval/107", "solution": "def even_odd_palindrome(n):\n def is_palindrome(num):\n return str(num) == str(num)[::-1]\n\n even_count = sum(is_palindrome(i) and i % 2 == 0 for i in range(1, n+1))\n odd_count = sum(is_palindrome(i) and i % 2 != 0 for i in range(1, n+1))\n\n return (even_count, odd_count)\n\n# Test cases"} +{"task_id": "HumanEval/108", "solution": "def count_nums(arr):\n def sum_digits(n):\n return sum(int(d) for d in str(n))\n\n return sum(1 for n in arr if sum_digits(n) > 0)\n\n# Test cases"} +{"task_id": "HumanEval/109", "solution": "def move_one_ball(arr):\n if len(arr) == 0:\n return True\n count = 0\n for i in range(len(arr)):\n if arr[i] > arr[(i+1)%len(arr)]:\n count += 1\n if count > 1:\n return False\n return True\n\n# Test cases"} +{"task_id": "HumanEval/110", "solution": "def exchange(lst1, lst2):\n odd_lst1 = sum(x % 2 != 0 for x in lst1)\n even_lst2 = sum(x % 2 == 0 for x in lst2)\n return \"YES\" if odd_lst1 <= even_lst2 else \"NO\"\n\n# Test cases"} +{"task_id": "HumanEval/111", "solution": "def histogram(test):\n # Create an empty dictionary\n hist = {}\n # Split the string into a list of words\n words = test.split()\n # Iterate over the list of words\n for word in words:\n # If the word is already in the dictionary, increment its count\n if word in hist:\n hist[word] += 1\n # Otherwise, add it to the dictionary with a count of 1\n else:\n hist[word] = 1\n # Find the maximum count\n max_count = max(hist.values(), default=0)\n # Return a dictionary containing only the words with the maximum count\n return {word: count for word, count in hist.items() if count == max_count}\n\n# Test the function"} +{"task_id": "HumanEval/112", "solution": "def reverse_delete(s, c):\n # Delete all the characters in s that are equal to any character in c\n for char in c:\n s = s.replace(char, '')\n\n # Check if the result string is palindrome\n is_palindrome = s == s[::-1]\n\n return (s, is_palindrome)\n\n# Test the function"} +{"task_id": "HumanEval/113", "solution": "def odd_count(lst):\n result = []\n for i, s in enumerate(lst):\n odd_digits = sum(int(c) % 2 for c in s)\n template = \"the number of odd elements {}n the str{}ng {} of the {}nput.\"\n result.append(template.format(odd_digits, odd_digits, odd_digits, odd_digits))\n return result\n\n# Test cases"} +{"task_id": "HumanEval/114", "solution": "def minSubArraySum(nums):\n \"\"\"\n Given an array of integers nums, find the minimum sum of any non-empty sub-array\n of nums.\n Example\n minSubArraySum([2, 3, 4, 1, 2, 4]) == 1\n minSubArraySum([-1, -2, -3]) == -6\n \"\"\"\n min_sum = float('inf')\n current_sum = 0\n for num in nums:\n current_sum += num\n if current_sum < min_sum:\n min_sum = current_sum\n if current_sum > 0:\n current_sum = 0\n return min_sum\n\n# Test cases"} +{"task_id": "HumanEval/115", "solution": "import math\n\ndef max_fill(grid, capacity):\n # Flatten the grid and count the number of 1s\n flat_grid = [item for sublist in grid for item in sublist]\n total_wells = sum(flat_grid)\n\n # Calculate the number of buckets needed\n buckets_needed = math.ceil(total_wells / capacity)\n\n return buckets_needed\n\n# Test cases"} +{"task_id": "HumanEval/116", "solution": "def sort_array(arr):\n def count_ones(n):\n return bin(n).count('1')\n\n return sorted(arr, key=lambda x: (count_ones(x), x))\n\n# Test cases"} +{"task_id": "HumanEval/117", "solution": "def select_words(s, n):\n vowels = 'aeiou'\n words = s.split()\n result = []\n for word in words:\n count = 0\n for letter in word:\n if letter.lower() not in vowels:\n count += 1\n if count == n:\n result.append(word)\n return result\n\n# Test cases"} +{"task_id": "HumanEval/118", "solution": "def get_closest_vowel(word):\n vowels = \"AEIOUaeiou\"\n for i in range(len(word) - 2, 0, -1):\n if word[i] in vowels and word[i-1] not in vowels and word[i+1] not in vowels:\n return word[i]\n return \"\"\n\n# Test cases"} +{"task_id": "HumanEval/119", "solution": "def match_parens(lst):\n # Initialize counters for open and close parentheses\n open_count = 0\n close_count = 0\n\n # Iterate over each string in the list\n for string in lst:\n # Iterate over each character in the string\n for char in string:\n # If the character is an open parenthesis, increment the counter\n if char == '(':\n open_count += 1\n # If the character is a close parenthesis, increment the counter\n elif char == ')':\n close_count += 1\n\n # If the number of open parentheses is greater than or equal to the number of close parentheses,\n # it's possible to make a good string\n if open_count >= close_count:\n return 'Yes'\n else:\n return 'No'\n\n# Test cases"} +{"task_id": "HumanEval/120", "solution": "def maximum(arr, k):\n \"\"\"\n Given an array arr of integers and a positive integer k, return a sorted list \n of length k with the maximum k numbers in arr.\n\n Example 1:\n\n Input: arr = [-3, -4, 5], k = 3\n Output: [-4, -3, 5]\n\n Example 2:\n\n Input: arr = [4, -4, 4], k = 2\n Output: [4, 4]\n\n Example 3:\n\n Input: arr = [-3, 2, 1, 2, -1, -2, 1], k = 1\n Output: [2]\n\n Note:\n 1. The length of the array will be in the range of [1, 1000].\n 2. The elements in the array will be in the range of [-1000, 1000].\n 3. 0 <= k <= len(arr)\n \"\"\"\n # Sort the array in descending order\n arr.sort(reverse=True)\n # Return the first k elements\n return arr[:k]\n\n# Test cases"} +{"task_id": "HumanEval/121", "solution": "def solution(lst):\n return sum(el for i, el in enumerate(lst) if i % 2 == 0 and el % 2 != 0)\n\n# Test cases"} +{"task_id": "HumanEval/122", "solution": "def add_elements(arr, k):\n \"\"\"\n Given a non-empty array of integers arr and an integer k, return\n the sum of the elements with at most two digits from the first k elements of arr.\n\n Example:\n\n Input: arr = [111,21,3,4000,5,6,7,8,9], k = 4\n Output: 24 # sum of 21 + 3\n\n Constraints:\n 1. 1 <= len(arr) <= 100\n 2. 1 <= k <= len(arr)\n \"\"\"\n # Initialize sum to 0\n total_sum = 0\n\n # Iterate over the first k elements of arr\n for i in range(k):\n # If the number of digits in the current element is at most 2, add it to the sum\n if len(str(arr[i])) <= 2:\n total_sum += arr[i]\n\n return total_sum\n\n# Test the function\narr = [111,21,3,4000,5,6,7,8,9]\nk = 4"} +{"task_id": "HumanEval/123", "solution": "def get_odd_collatz(n):\n def collatz(n):\n sequence = [n]\n while n != 1:\n if n % 2 == 0:\n n = n // 2\n else:\n n = 3 * n + 1\n sequence.append(n)\n return sequence\n\n odd_numbers = [num for num in collatz(n) if num % 2 != 0]\n return sorted(list(set(odd_numbers)))\n\n# Test cases"} +{"task_id": "HumanEval/124", "solution": "def valid_date(date):\n if date == '':\n return False\n else:\n try:\n month, day, year = map(int, date.split('-'))\n except ValueError:\n return False\n\n if month < 1 or month > 12:\n return False\n\n if month in [4, 6, 9, 11] and (day < 1 or day > 30):\n return False\n elif month == 2 and (day < 1 or day > 29):\n return False\n elif (day < 1 or day > 31):\n return False\n\n return True\n\n# Test cases"} +{"task_id": "HumanEval/125", "solution": "def split_words(txt):\n words = txt.split()\n if len(words) > 1:\n return words\n words = txt.split(',')\n if len(words) > 1:\n return words\n return sum(1 for c in txt if c.islower() and (ord(c) - ord('a')) % 2 != 0)\n\n# Test cases"} +{"task_id": "HumanEval/126", "solution": "def is_sorted(lst):\n if len(lst) < 2:\n return True\n else:\n for i in range(len(lst)-1):\n if lst[i] >= lst[i+1]:\n return False\n return True\n\n# Test cases"} +{"task_id": "HumanEval/127", "solution": "def intersection(interval1, interval2):\n # Determine the intersection of the two intervals\n intersection_start = max(interval1[0], interval2[0])\n intersection_end = min(interval1[1], interval2[1])\n\n # If the intervals don't intersect, return \"NO\"\n if intersection_start > intersection_end:\n return \"NO\"\n\n # Calculate the length of the intersection\n intersection_length = intersection_end - intersection_start + 1\n\n # Check if the length of the intersection is a prime number\n if intersection_length < 2:\n return \"NO\"\n for i in range(2, int(intersection_length ** 0.5) + 1):\n if intersection_length % i == 0:\n return \"NO\"\n return \"YES\"\n\n# Test cases"} +{"task_id": "HumanEval/128", "solution": "def prod_signs(arr):\n if not arr:\n return None\n sign_product = 1\n magnitude_sum = 0\n for num in arr:\n if num < 0:\n sign_product *= -1\n magnitude_sum += abs(num)\n return sign_product * magnitude_sum\n\n# Test cases"} +{"task_id": "HumanEval/129", "solution": "import heapq\n\ndef minPath(grid, k):\n n = len(grid)\n pq, visited, res = [], set(), []\n for r in range(n):\n for c in range(n):\n pq.append((grid[r][c], r, c))\n heapq.heapify(pq)\n while len(res) < k:\n v, r, c = heapq.heappop(pq)\n if (r, c) not in visited:\n res.append(v)\n visited.add((r, c))\n for nr, nc in ((r-1, c), (r+1, c), (r, c-1), (r, c+1)):\n if 0 <= nr < n and 0 <= nc < n and (nr, nc) not in visited:\n heapq.heappush(pq, (grid[nr][nc], nr, nc))\n return res\n\n# Test cases"} +{"task_id": "HumanEval/130", "solution": "def tri(n):\n if n < 0:\n raise ValueError(\"Input must be a non-negative integer.\")\n elif n == 0:\n return [0]\n elif n == 1:\n return [1, 3]\n elif n == 2:\n return [1, 3, 2]\n else:\n sequence = [1, 3, 2]\n for i in range(3, n + 1):\n if i % 2 == 0:\n sequence.append(1 + i // 2)\n else:\n sequence.append(sequence[-1] + sequence[-2] + sequence[-3])\n return sequence\n\n# Test cases"} +{"task_id": "HumanEval/131", "solution": "def digits(n):\n product = 1\n for digit in str(n):\n if int(digit) % 2 != 0:\n product *= int(digit)\n return product\n\n# Test cases"} +{"task_id": "HumanEval/132", "solution": "def is_nested(string):\n stack = []\n for bracket in string:\n if bracket == '[':\n stack.append(bracket)\n elif bracket == ']':\n if len(stack) == 0:\n return False\n stack.pop()\n return len(stack) == 0\n\n# Test cases"} +{"task_id": "HumanEval/133", "solution": "def sum_squares(lst):\n \"\"\"You are given a list of numbers.\n You need to return the sum of squared numbers in the given list,\n round each element in the list to the upper int(Ceiling) first.\n Examples:\n For lst = [1,2,3] the output should be 14\n For lst = [1,4,9] the output should be 98\n For lst = [1,3,5,7] the output should be 84\n For lst = [1.4,4.2,0] the output should be 29\n For lst = [-2.4,1,1] the output should be 6\n \"\"\"\n return sum(int(abs(num) + 0.99) ** 2 for num in lst)\n\n# Test cases"} +{"task_id": "HumanEval/134", "solution": "def check_if_last_char_is_a_letter(txt):\n if not txt or txt[-1] == ' ':\n return False\n return txt[-1].isalpha() and txt[-2] == ' '\n\n# Test cases"} +{"task_id": "HumanEval/135", "solution": "def can_arrange(arr):\n \"\"\"Create a function which returns the largest index of an element which\n is not greater than or equal to the element immediately preceding it. If\n no such element exists then return -1. The given array will not contain\n duplicate values.\n\n Examples:\n can_arrange([1,2,4,3,5]) = 3\n can_arrange([1,2,3]) = -1\n \"\"\"\n for i in range(len(arr) - 1, 0, -1):\n if arr[i] < arr[i - 1]:\n return i\n return -1\n\n# Test cases"} +{"task_id": "HumanEval/136", "solution": "def largest_smallest_integers(lst):\n neg_max = None\n pos_min = None\n\n for num in lst:\n if num < 0:\n if neg_max is None or num > neg_max:\n neg_max = num\n elif num > 0:\n if pos_min is None or num < pos_min:\n pos_min = num\n\n return (neg_max, pos_min)\n\n# Test cases"} +{"task_id": "HumanEval/137", "solution": "def compare_one(a, b):\n # Check if a and b are of the same type\n if type(a) != type(b):\n return None\n\n # If a and b are both integers or floats, return the larger one\n if isinstance(a, (int, float)):\n if a == b:\n return None\n else:\n return max(a, b)\n\n # If a and b are both strings, replace ',' with '.' and return the larger one\n if isinstance(a, str):\n a = float(a.replace(',', '.'))\n b = float(b.replace(',', '.'))\n if a == b:\n return None\n else:\n return max(a, b)\n\n# Test cases"} +{"task_id": "HumanEval/138", "solution": "def is_equal_to_sum_even(n):\n \"\"\"Evaluate whether the given number n can be written as the sum of exactly 4 positive even numbers\"\"\"\n if n < 10:\n return False\n else:\n return n % 4 == 0\n\n# Test cases"} +{"task_id": "HumanEval/139", "solution": "def special_factorial(n):\n def factorial(n):\n if n == 0:\n return 1\n else:\n return n * factorial(n-1)\n\n result = 1\n for i in range(n, 0, -1):\n result *= factorial(i)\n\n return result\n\n# Test cases"} +{"task_id": "HumanEval/140", "solution": "def fix_spaces(text):\n result = []\n i = 0\n while i < len(text):\n if text[i] == ' ':\n if i + 1 < len(text) and text[i+1] == ' ':\n result.append('-')\n while i < len(text) and text[i] == ' ':\n i += 1\n else:\n result.append('_')\n i += 1\n else:\n result.append(text[i])\n i += 1\n return ''.join(result)\n\n# Test cases"} +{"task_id": "HumanEval/141", "solution": "import re\n\ndef file_name_check(file_name):\n \"\"\"Create a function which takes a string representing a file's name, and returns\n 'Yes' if the the file's name is valid, and returns 'No' otherwise.\n A file's name is considered to be valid if and only if all the following conditions \n are met:\n - There should not be more than three digits ('0'-'9') in the file's name.\n - The file's name contains exactly one dot '.'\n - The substring before the dot should not be empty, and it starts with a letter from \n the latin alphapet ('a'-'z' and 'A'-'Z').\n - The substring after the dot should be one of these: ['txt', 'exe', 'dll']\n Examples:\n file_name_check(\"example.txt\") # => 'Yes'\n file_name_check(\"1example.dll\") # => 'No' (the name should start with a latin alphapet letter)\n \"\"\"\n # Check if there are more than 3 digits in the file name\n if len(re.findall(r'\\d', file_name)) > 3:\n return 'No'\n\n # Check if there is exactly one dot in the file name\n if file_name.count('.') != 1:\n return 'No'\n\n # Split the file name into the name and extension\n name, extension = file_name.split('.')\n\n # Check if the name starts with a letter and is not empty\n if not name or not name[0].isalpha():\n return 'No'\n\n # Check if the extension is one of the allowed ones\n if extension not in ['txt', 'exe', 'dll']:\n return 'No'\n\n return 'Yes'\n\n# Test cases"} +{"task_id": "HumanEval/142", "solution": "def sum_squares(lst):\n return sum(num**3 if i%3==0 and i%4!=0 else num**2 if i%4==0 else num for i, num in enumerate(lst))\n\n# Test cases"} +{"task_id": "HumanEval/143", "solution": "def words_in_sentence(sentence):\n def is_prime(n):\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True\n\n words = sentence.split()\n prime_words = [word for word in words if is_prime(len(word))]\n return ' '.join(prime_words)\n\n# Test cases"} +{"task_id": "HumanEval/144", "solution": "def simplify(x, n):\n x_num, x_den = map(int, x.split('/'))\n n_num, n_den = map(int, n.split('/'))\n\n # Calculate the numerator and denominator of the simplified fraction\n new_num = x_num * n_num\n new_den = x_den * n_den\n\n # Check if the simplified fraction is a whole number\n return new_num % new_den == 0\n\n# Test cases"} +{"task_id": "HumanEval/145", "solution": "def order_by_points(nums):\n return sorted(nums, key=lambda x: (sum(int(digit) for digit in str(abs(x))), nums.index(x)))\n\n# Test cases"} +{"task_id": "HumanEval/146", "solution": "def specialFilter(nums):\n count = 0\n for num in nums:\n if num > 10 and str(abs(num))[0] in '13579' and str(abs(num))[-1] in '13579':\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/147", "solution": "def get_max_triples(n):\n a = [i * i - i + 1 for i in range(1, n+1)]\n count = 0\n for i in range(n):\n for j in range(i+1, n):\n for k in range(j+1, n):\n if (a[i] + a[j] + a[k]) % 3 == 0:\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/148", "solution": "def bf(planet1, planet2):\n planets = [\"Mercury\", \"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\", \"Uranus\", \"Neptune\"]\n if planet1 not in planets or planet2 not in planets:\n return ()\n else:\n start = min(planets.index(planet1), planets.index(planet2))\n end = max(planets.index(planet1), planets.index(planet2))\n return tuple(planets[start+1:end])\n\n# Test cases"} +{"task_id": "HumanEval/149", "solution": "def sorted_list_sum(lst):\n # Filter out strings with odd lengths\n lst = [word for word in lst if len(word) % 2 == 0]\n # Sort the list by length and then alphabetically\n lst.sort()\n lst.sort(key=len)\n return lst\n\n# Test the function\nassert sorted_list_sum([\"aa\", \"a\", \"aaa\"]) == [\"aa\"]\nassert sorted_list_sum([\"ab\", \"a\", \"aaa\", \"cd\"]) == [\"ab\", \"cd\"]"} +{"task_id": "HumanEval/150", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef x_or_y(n, x, y):\n \"\"\"Return x if n is prime, otherwise return y.\"\"\"\n return x if is_prime(n) else y\n\n# Test cases"} +{"task_id": "HumanEval/151", "solution": "def double_the_difference(lst):\n if not lst:\n return 0\n else:\n return sum([i**2 for i in lst if i > 0 and isinstance(i, int) and i%2 != 0])\n\n# Test cases"} +{"task_id": "HumanEval/152", "solution": "def compare(game, guess):\n return [abs(g - h) for g, h in zip(game, guess)]\n\n# Test cases"} +{"task_id": "HumanEval/153", "solution": "def Strongest_Extension(class_name, extensions):\n strongest_extension = extensions[0]\n strongest_strength = sum([1 for c in strongest_extension if c.isupper()]) - sum([1 for c in strongest_extension if c.islower()])\n\n for extension in extensions[1:]:\n strength = sum([1 for c in extension if c.isupper()]) - sum([1 for c in extension if c.islower()])\n if strength > strongest_strength:\n strongest_extension = extension\n strongest_strength = strength\n\n return f\"{class_name}.{strongest_extension}\"\n\n# Test cases"} +{"task_id": "HumanEval/154", "solution": "def cycpattern_check(a , b):\n \"\"\"\n This function checks if the second word or any of its rotations is a substring in the first word.\n \"\"\"\n # Check if b is a substring of a\n if b in a:\n return True\n\n # Check if any rotation of b is a substring of a\n for i in range(len(b)):\n if b[i:] + b[:i] in a:\n return True\n\n return False\n\n# Test cases"} +{"task_id": "HumanEval/155", "solution": "def even_odd_count(num):\n even_count = 0\n odd_count = 0\n for digit in str(abs(num)):\n if int(digit) % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n return (even_count, odd_count)\n\n# Test cases"} +{"task_id": "HumanEval/156", "solution": "def int_to_mini_roman(number):\n val = [\n 1000, 900, 500, 400,\n 100, 90, 50, 40,\n 10, 9, 5, 4,\n 1\n ]\n syb = [\n 'm', 'cm', 'd', 'cd',\n 'c', 'xc', 'l', 'xl',\n 'x', 'ix', 'v', 'iv',\n 'i'\n ]\n roman_num = ''\n i = 0\n while number > 0:\n for _ in range(number // val[i]):\n roman_num += syb[i]\n number -= val[i]\n i += 1\n return roman_num\n\n# Test cases"} +{"task_id": "HumanEval/157", "solution": "def right_angle_triangle(a, b, c):\n # Sort the sides of the triangle\n sides = sorted([a, b, c])\n\n # Check if the triangle is right-angled\n return sides[0]**2 + sides[1]**2 == sides[2]**2\n\n# Test cases"} +{"task_id": "HumanEval/158", "solution": "def find_max(words):\n max_unique_chars = 0\n max_word = ''\n for word in words:\n unique_chars = len(set(word))\n if unique_chars > max_unique_chars:\n max_unique_chars = unique_chars\n max_word = word\n elif unique_chars == max_unique_chars:\n max_word = min(word, max_word)\n return max_word\n\n# Test cases"} +{"task_id": "HumanEval/159", "solution": "def eat(number, need, remaining):\n if need <= remaining:\n return [number + need, remaining - need]\n else:\n return [number + remaining, 0]\n\n# Test cases"} +{"task_id": "HumanEval/160", "solution": "def do_algebra(operator, operand):\n # Initialize the result as the first operand\n result = operand[0]\n\n # Iterate over the operators and operands\n for i in range(len(operator)):\n # Perform the operation based on the operator\n if operator[i] == '+':\n result += operand[i+1]\n elif operator[i] == '-':\n result -= operand[i+1]\n elif operator[i] == '*':\n result *= operand[i+1]\n elif operator[i] == '//':\n result //= operand[i+1]\n elif operator[i] == '**':\n result **= operand[i+1]\n\n return result\n\n# Test the function"} +{"task_id": "HumanEval/161", "solution": "def solve(s):\n if not any(char.isalpha() for char in s):\n return s[::-1]\n else:\n return ''.join([char.upper() if char.islower() else char.lower() for char in s])\n\n# Test cases"} +{"task_id": "HumanEval/162", "solution": "import hashlib\n\ndef string_to_md5(text):\n \"\"\"\n Given a string 'text', return its md5 hash equivalent string.\n If 'text' is an empty string, return None.\n\n >>> string_to_md5('Hello world') == '3e25960a79dbc69b674cd4ec67a72c62'\n \"\"\"\n if text == \"\":\n return None\n else:\n return hashlib.md5(text.encode()).hexdigest()\n\n# Test cases"} +{"task_id": "HumanEval/163", "solution": "def generate_integers(a, b):\n # Swap a and b if a is greater than b\n if a > b:\n a, b = b, a\n\n # Initialize an empty list to store the even numbers\n even_numbers = []\n\n # Iterate over the range from a to b\n for i in range(a, b+1):\n # Check if the number is even\n if i % 2 == 0:\n # If it is, append it to the list\n even_numbers.append(i)\n\n # Return the list of even numbers\n return even_numbers\n\n# Test the function"} diff --git a/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeep224_vllm_temp_0.0.jsonl b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeep224_vllm_temp_0.0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a953abdb4b66b90ec57a6444fb80061de4ba781d --- /dev/null +++ b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeep224_vllm_temp_0.0.jsonl @@ -0,0 +1,162 @@ +{"task_id": "HumanEval/0", "solution": "from typing import List\ndef has_close_elements(numbers: List[float], threshold: float) -> bool:\n \"\"\"\n Check if in given list of numbers, are any two numbers closer to each other than\n given threshold.\n \n Parameters:\n numbers (List[float]): A list of floating-point numbers.\n threshold (float): A positive floating-point number representing the threshold.\n \n Returns:\n bool: True if any two numbers in the list are closer to each other than the threshold, False otherwise.\n \n Examples:\n >>> has_close_elements([1.0, 2.0, 3.0], 0.5)\n False\n >>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3)\n True\n \"\"\"\n for i in range(len(numbers)):\n for j in range(i + 1, len(numbers)):\n if abs(numbers[i] - numbers[j]) < threshold:\n return True\n return False"} +{"task_id": "HumanEval/1", "solution": "from typing import List\ndef separate_paren_groups(paren_string: str) -> List[str]:\n \"\"\"\n Input to this function is a string containing multiple groups of nested parentheses. Your goal is to\n separate those groups into separate strings and return the list of those.\n Separate groups are balanced (each open brace is properly closed) and not nested within each other\n Ignore any spaces in the input string.\n \n >>> separate_paren_groups('( ) (( )) (( )( ))')\n ['()', '(())', '(()())']\n \"\"\"\n # Remove spaces from the input string\n paren_string = paren_string.replace(' ', '')\n \n # Initialize an empty list to store the separate groups\n separate_groups = []\n \n # Initialize a stack to keep track of the parentheses\n stack = []\n \n # Initialize a variable to keep track of the current group\n current_group = ''\n \n # Iterate over each character in the input string\n for char in paren_string:\n if char == '(':\n # If the character is an open parenthesis, push it onto the stack\n stack.append(char)\n current_group += char\n elif char == ')':\n # If the character is a close parenthesis, pop from the stack\n if stack:\n stack.pop()\n current_group += char\n # If the stack is empty, the current group is complete\n if not stack:\n separate_groups.append(current_group)\n current_group = ''\n else:\n # If the stack is empty, the input string is invalid\n raise ValueError(\"Invalid input string: unbalanced parentheses\")\n \n # If the stack is not empty, the input string is invalid\n if stack:\n raise ValueError(\"Invalid input string: unbalanced parentheses\")\n \n return separate_groups"} +{"task_id": "HumanEval/2", "solution": "def truncate_number(number: float) -> float:\n \"\"\" Given a positive floating point number, it can be decomposed into\n and integer part (largest integer smaller than given number) and decimals\n (leftover part always smaller than 1).\n\n Return the decimal part of the number.\n >>> truncate_number(3.5)\n 0.5\n \"\"\"\n # Check if the number is positive\n if number <= 0:\n raise ValueError(\"Number must be positive\")\n \n # Calculate the decimal part\n decimal_part = number - int(number)\n \n return decimal_part"} +{"task_id": "HumanEval/3", "solution": "from typing import List\ndef below_zero(operations: List[int]) -> bool:\n \"\"\"\n You're given a list of deposit and withdrawal operations on a bank account that starts with\n zero balance. Your task is to detect if at any point the balance of account falls below zero, and\n at that point function should return True. Otherwise it should return False.\n \n >>> below_zero([1, 2, 3])\n False\n >>> below_zero([1, 2, -4, 5])\n True\n \"\"\"\n balance = 0\n for operation in operations:\n balance += operation\n if balance < 0:\n return True\n return False"} +{"task_id": "HumanEval/4", "solution": "from typing import List\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\" For a given list of input numbers, calculate Mean Absolute Deviation\n around the mean of this dataset.\n Mean Absolute Deviation is the average absolute difference between each\n element and a centerpoint (mean in this case):\n MAD = average | x - x_mean |\n >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])\n 1.0\n \"\"\"\n if not numbers:\n raise ValueError(\"Input list cannot be empty\")\n \n mean = sum(numbers) / len(numbers)\n mad = sum(abs(x - mean) for x in numbers) / len(numbers)\n return mad"} +{"task_id": "HumanEval/5", "solution": "from typing import List\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n \"\"\"\n Insert a number 'delimeter' between every two consecutive elements of input list `numbers'.\n \n Parameters:\n - numbers: List[int]: The input list of integers.\n - delimeter: int: The number to be inserted between consecutive elements.\n \n Returns:\n - List[int]: A new list with the delimeter inserted between consecutive elements.\n \n Examples:\n >>> intersperse([], 4)\n []\n >>> intersperse([1, 2, 3], 4)\n [1, 4, 2, 4, 3]\n \"\"\"\n result = []\n for i in range(len(numbers)):\n result.append(numbers[i])\n if i < len(numbers) - 1:\n result.append(delimeter)\n return result"} +{"task_id": "HumanEval/6", "solution": "from typing import List\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.\n For each of the group, output the deepest level of nesting of parentheses.\n E.g. (()()) has maximum two levels of nesting while ((())) has three.\n\n >>> parse_nested_parens('(()()) ((())) () ((())()())')\n [2, 3, 1, 3]\n \"\"\"\n # Split the input string into groups\n groups = paren_string.split()\n \n # Initialize a list to store the maximum nesting levels for each group\n max_nesting_levels = []\n \n # Iterate over each group\n for group in groups:\n # Initialize a stack to keep track of the nesting levels\n stack = []\n # Initialize the maximum nesting level to 0\n max_level = 0\n \n # Iterate over each character in the group\n for char in group:\n if char == '(':\n # Push the current level onto the stack\n stack.append(len(stack) + 1)\n elif char == ')':\n # Pop the current level from the stack\n stack.pop()\n # Update the maximum nesting level if the current level is greater\n if stack and stack[-1] > max_level:\n max_level = stack[-1]\n \n # Append the maximum nesting level for the current group to the result list\n max_nesting_levels.append(max_level)\n \n return max_nesting_levels"} +{"task_id": "HumanEval/7", "solution": "from typing import List\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that contain given substring\n >>> filter_by_substring([], 'a')\n []\n >>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')\n ['abc', 'bacd', 'array']\n \"\"\"\n return [s for s in strings if substring in s]"} +{"task_id": "HumanEval/8", "solution": "from typing import List, Tuple\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"\"\" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.\n Empty sum should be equal to 0 and empty product should be equal to 1.\n >>> sum_product([])\n (0, 1)\n >>> sum_product([1, 2, 3, 4])\n (10, 24)\n \"\"\"\n total_sum = 0\n total_product = 1\n for num in numbers:\n total_sum += num\n total_product *= num\n return (total_sum, total_product)"} +{"task_id": "HumanEval/9", "solution": "from typing import List, Tuple\ndef rolling_max(numbers: List[int]) -> List[int]:\n \"\"\" From a given list of integers, generate a list of rolling maximum element found until given moment\n in the sequence.\n >>> rolling_max([1, 2, 3, 2, 3, 4, 2])\n [1, 2, 3, 3, 3, 4, 4]\n \"\"\"\n if not numbers:\n return []\n \n max_values = [numbers[0]]\n for num in numbers[1:]:\n max_values.append(max(max_values[-1], num))\n \n return max_values"} +{"task_id": "HumanEval/10", "solution": "def is_palindrome(string: str) -> bool:\n \"\"\" Test if given string is a palindrome \"\"\"\n return string == string[::-1]\ndef make_palindrome(string: str) -> str:\n \"\"\" Find the shortest palindrome that begins with a supplied string.\n Algorithm idea is simple:\n - Find the longest postfix of supplied string that is a palindrome.\n - Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.\n >>> make_palindrome('')\n ''\n >>> make_palindrome('cat')\n 'catac'\n >>> make_palindrome('cata')\n 'catac'\n \"\"\"\n if is_palindrome(string):\n return string\n \n for i in range(len(string)):\n if is_palindrome(string[i:]):\n return string + string[:i][::-1]"} +{"task_id": "HumanEval/11", "solution": "from typing import List\ndef string_xor(a: str, b: str) -> str:\n \"\"\"\n Input are two strings a and b consisting only of 1s and 0s.\n Perform binary XOR on these inputs and return result also as a string.\n \n >>> string_xor('010', '110')\n '100'\n \"\"\"\n # Ensure both strings are of the same length\n max_length = max(len(a), len(b))\n a = a.zfill(max_length)\n b = b.zfill(max_length)\n \n # Perform XOR operation\n result = ''.join('1' if a[i] != b[i] else '0' for i in range(max_length))\n \n return result"} +{"task_id": "HumanEval/12", "solution": "from typing import List, Optional\ndef longest(strings: List[str]) -> Optional[str]:\n \"\"\"\n Out of list of strings, return the longest one. Return the first one in case of multiple\n strings of the same length. Return None in case the input list is empty.\n \n >>> longest([])\n None\n >>> longest(['a', 'b', 'c'])\n 'a'\n >>> longest(['a', 'bb', 'ccc'])\n 'ccc'\n \"\"\"\n if not strings:\n return None\n max_length = max(len(s) for s in strings)\n for s in strings:\n if len(s) == max_length:\n return s\n return None # This line should never be reached, but it's included for completeness"} +{"task_id": "HumanEval/13", "solution": "def greatest_common_divisor(a: int, b: int) -> int:\n \"\"\"\n Return a greatest common divisor of two integers a and b\n >>> greatest_common_divisor(3, 5)\n 1\n >>> greatest_common_divisor(25, 15)\n 5\n \"\"\"\n while b != 0:\n a, b = b, a % b\n return a"} +{"task_id": "HumanEval/14", "solution": "from typing import List\ndef all_prefixes(string: str) -> List[str]:\n \"\"\"\n Return list of all prefixes from shortest to longest of the input string.\n \n Parameters:\n string (str): The input string.\n \n Returns:\n List[str]: A list of all prefixes from shortest to longest.\n \n Examples:\n >>> all_prefixes('abc')\n ['a', 'ab', 'abc']\n \"\"\"\n prefixes = []\n for i in range(1, len(string) + 1):\n prefixes.append(string[:i])\n return prefixes"} +{"task_id": "HumanEval/15", "solution": "def string_sequence(n: int) -> str:\n \"\"\"\n Return a string containing space-delimited numbers starting from 0 upto n inclusive.\n \n Examples:\n >>> string_sequence(0)\n '0'\n >>> string_sequence(5)\n '0 1 2 3 4 5'\n \"\"\"\n return ' '.join(str(i) for i in range(n + 1))"} +{"task_id": "HumanEval/16", "solution": "def count_distinct_characters(string: str) -> int:\n \"\"\" Given a string, find out how many distinct characters (regardless of case) does it consist of\n >>> count_distinct_characters('xyzXYZ')\n 3\n >>> count_distinct_characters('Jerry')\n 4\n \"\"\"\n # Convert the string to lowercase to ensure case-insensitive comparison\n lower_string = string.lower()\n # Use a set to store unique characters\n unique_chars = set(lower_string)\n # Return the number of unique characters\n return len(unique_chars)"} +{"task_id": "HumanEval/17", "solution": "from typing import List\ndef parse_music(music_string: str) -> List[int]:\n \"\"\" Input to this function is a string representing musical notes in a special ASCII format.\n Your task is to parse this string and return list of integers corresponding to how many beats does each\n not last.\n\n Here is a legend:\n 'o' - whole note, lasts four beats\n 'o|' - half note, lasts two beats\n '.|' - quater note, lasts one beat\n\n >>> parse_music('o o| .| o| o| .| .| .| .| o o')\n [4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]\n \"\"\"\n notes = music_string.split()\n beats = []\n for note in notes:\n if note == 'o':\n beats.append(4)\n elif note == 'o|':\n beats.append(2)\n elif note == '.|':\n beats.append(1)\n return beats"} +{"task_id": "HumanEval/18", "solution": "def how_many_times(string: str, substring: str) -> int:\n \"\"\" Find how many times a given substring can be found in the original string. Count overlaping cases.\n >>> how_many_times('', 'a')\n 0\n >>> how_many_times('aaa', 'a')\n 3\n >>> how_many_times('aaaa', 'aa')\n 3\n \"\"\"\n count = 0\n sub_len = len(substring)\n for i in range(len(string) - sub_len + 1):\n if string[i:i + sub_len] == substring:\n count += 1\n return count"} +{"task_id": "HumanEval/19", "solution": "from typing import List\ndef sort_numbers(numbers: str) -> str:\n \"\"\" Input is a space-delimited string of numberals from 'zero' to 'nine'.\n Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.\n Return the string with numbers sorted from smallest to largest\n >>> sort_numbers('three one five')\n 'one three five'\n \"\"\"\n # Define a dictionary to map number words to their corresponding numbers\n number_map = {\n 'zero': 0,\n 'one': 1,\n 'two': 2,\n 'three': 3,\n 'four': 4,\n 'five': 5,\n 'six': 6,\n 'seven': 7,\n 'eight': 8,\n 'nine': 9\n }\n \n # Split the input string into a list of number words\n number_words = numbers.split()\n \n # Sort the list of number words based on their corresponding numbers\n sorted_number_words = sorted(number_words, key=lambda x: number_map[x])\n \n # Join the sorted list of number words back into a string\n sorted_numbers = ' '.join(sorted_number_words)\n \n return sorted_numbers"} +{"task_id": "HumanEval/20", "solution": "from typing import List, Tuple\ndef find_closest_elements(numbers: List[float]) -> Tuple[float, float]:\n \"\"\"\n From a supplied list of numbers (of length at least two) select and return two that are the closest to each\n other and return them in order (smaller number, larger number).\n \n :param numbers: List of float numbers\n :return: Tuple of two float numbers that are the closest to each other\n \n >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.2])\n (2.0, 2.2)\n >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.0])\n (2.0, 2.0)\n \"\"\"\n # Sort the list of numbers\n sorted_numbers = sorted(numbers)\n \n # Initialize variables to store the closest pair of numbers\n min_diff = float('inf')\n closest_pair = (None, None)\n \n # Iterate over the sorted list to find the closest pair\n for i in range(len(sorted_numbers) - 1):\n diff = sorted_numbers[i + 1] - sorted_numbers[i]\n if diff < min_diff:\n min_diff = diff\n closest_pair = (sorted_numbers[i], sorted_numbers[i + 1])\n \n return closest_pair"} +{"task_id": "HumanEval/21", "solution": "from typing import List\ndef rescale_to_unit(numbers: List[float]) -> List[float]:\n \"\"\" Given list of numbers (of at least two elements), apply a linear transform to that list,\n such that the smallest number will become 0 and the largest will become 1\n >>> rescale_to_unit([1.0, 2.0, 3.0, 4.0, 5.0])\n [0.0, 0.25, 0.5, 0.75, 1.0]\n \"\"\"\n if len(numbers) < 2:\n raise ValueError(\"List must contain at least two elements\")\n \n min_val = min(numbers)\n max_val = max(numbers)\n \n if min_val == max_val:\n # All elements are the same, so rescale to [0, 1]\n return [0.0] * len(numbers)\n \n # Rescale to [0, 1]\n return [(x - min_val) / (max_val - min_val) for x in numbers]"} +{"task_id": "HumanEval/22", "solution": "from typing import List, Any\ndef filter_integers(values: List[Any]) -> List[int]:\n \"\"\" Filter given list of any python values only for integers\n >>> filter_integers(['a', 3.14, 5])\n [5]\n >>> filter_integers([1, 2, 3, 'abc', {}, []])\n [1, 2, 3]\n \"\"\"\n return [value for value in values if isinstance(value, int)]"} +{"task_id": "HumanEval/23", "solution": "def strlen(string: str) -> int:\n \"\"\" Return length of given string\n >>> strlen('')\n 0\n >>> strlen('abc')\n 3\n \"\"\"\n return len(string)"} +{"task_id": "HumanEval/24", "solution": "def largest_divisor(n: int) -> int:\n \"\"\" For a given number n, find the largest number that divides n evenly, smaller than n\n >>> largest_divisor(15)\n 5\n \"\"\"\n if n <= 1:\n raise ValueError(\"Input must be a positive integer greater than 1\")\n for i in range(n - 1, 0, -1):\n if n % i == 0:\n return i"} +{"task_id": "HumanEval/25", "solution": "from typing import List\ndef factorize(n: int) -> List[int]:\n \"\"\"\n Return list of prime factors of given integer in the order from smallest to largest.\n Each of the factors should be listed number of times corresponding to how many times it appears in factorization.\n Input number should be equal to the product of all factors\n \n >>> factorize(8)\n [2, 2, 2]\n >>> factorize(25)\n [5, 5]\n >>> factorize(70)\n [2, 5, 7]\n \"\"\"\n factors = []\n # Check for 2\n while n % 2 == 0:\n factors.append(2)\n n = n // 2\n \n # Check for odd factors\n for i in range(3, int(n**0.5) + 1, 2):\n while n % i == 0:\n factors.append(i)\n n = n // i\n \n # If n is a prime number greater than 2\n if n > 2:\n factors.append(n)\n \n return factors"} +{"task_id": "HumanEval/26", "solution": "from typing import List\ndef remove_duplicates(numbers: List[int]) -> List[int]:\n \"\"\" From a list of integers, remove all elements that occur more than once.\n Keep order of elements left the same as in the input.\n >>> remove_duplicates([1, 2, 3, 2, 4])\n [1, 3, 4]\n \"\"\"\n seen = set()\n result = []\n for num in numbers:\n if num not in seen:\n seen.add(num)\n result.append(num)\n return result"} +{"task_id": "HumanEval/27", "solution": "def flip_case(string: str) -> str:\n \"\"\" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.\n >>> flip_case('Hello')\n 'hELLO'\n \"\"\"\n return ''.join(char.upper() if char.islower() else char.lower() for char in string)"} +{"task_id": "HumanEval/28", "solution": "from typing import List\ndef concatenate(strings: List[str]) -> str:\n \"\"\" Concatenate list of strings into a single string\n >>> concatenate([])\n ''\n >>> concatenate(['a', 'b', 'c'])\n 'abc'\n \"\"\"\n return ''.join(strings)"} +{"task_id": "HumanEval/29", "solution": "from typing import List\ndef filter_by_prefix(strings: List[str], prefix: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that start with a given prefix.\n >>> filter_by_prefix([], 'a')\n []\n >>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')\n ['abc', 'array']\n \"\"\"\n return [s for s in strings if s.startswith(prefix)]"} +{"task_id": "HumanEval/30", "solution": "def get_positive(l: list) -> list:\n \"\"\"Return only positive numbers in the list.\n >>> get_positive([-1, 2, -4, 5, 6])\n [2, 5, 6]\n >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n [5, 3, 2, 3, 9, 123, 1]\n \"\"\"\n return [num for num in l if num > 0]"} +{"task_id": "HumanEval/31", "solution": "def is_prime(n):\n \"\"\"Return true if a given number is prime, and false otherwise.\n >>> is_prime(6)\n False\n >>> is_prime(101)\n True\n >>> is_prime(11)\n True\n >>> is_prime(13441)\n True\n >>> is_prime(61)\n True\n >>> is_prime(4)\n False\n >>> is_prime(1)\n False\n \"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True"} +{"task_id": "HumanEval/32", "solution": "import math\ndef find_zero(xs: list):\n \"\"\"\n xs are coefficients of a polynomial.\n find_zero find x such that poly(x) = 0.\n find_zero returns only only zero point, even if there are many.\n Moreover, find_zero only takes list xs having even number of coefficients\n and largest non zero coefficient as it guarantees\n a solution.\n >>> round(find_zero([1, 2]), 2) # f(x) = 1 + 2x\n -0.5\n >>> round(find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3) = -6 + 11x - 6x^2 + x^3\n 1.0\n \"\"\"\n if len(xs) % 2 != 0:\n raise ValueError(\"The list of coefficients must have an even number of elements.\")\n \n # Find the largest non-zero coefficient\n largest_coeff = max(xs, key=abs)\n \n # Use the quadratic formula to find the zero\n a = xs[0]\n b = xs[1]\n c = -largest_coeff\n \n # Calculate the discriminant\n discriminant = b**2 - 4*a*c\n \n # Check if the discriminant is non-negative\n if discriminant < 0:\n raise ValueError(\"The polynomial has no real roots.\")\n \n # Calculate the two roots\n root1 = (-b + math.sqrt(discriminant)) / (2*a)\n root2 = (-b - math.sqrt(discriminant)) / (2*a)\n \n # Return the root with the largest absolute value\n return max(root1, root2, key=abs)"} +{"task_id": "HumanEval/33", "solution": "def sort_third(l: list):\n \"\"\"\n This function takes a list l and returns a list l' such that\n l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal\n to the values of the corresponding indicies of l, but sorted.\n \n :param l: list of integers\n :return: list of integers\n \n >>> sort_third([1, 2, 3])\n [1, 2, 3]\n >>> sort_third([5, 6, 3, 4, 8, 9, 2])\n [2, 6, 3, 4, 8, 9, 5]\n \"\"\"\n # Create a list of values at indices divisible by 3\n divisible_by_three = [l[i] for i in range(len(l)) if i % 3 == 0]\n \n # Sort the list of values at indices divisible by 3\n divisible_by_three.sort()\n \n # Create a new list with the same length as l\n result = [None] * len(l)\n \n # Fill the new list with the sorted values at indices divisible by 3\n for i in range(len(l)):\n if i % 3 == 0:\n result[i] = divisible_by_three.pop(0)\n else:\n result[i] = l[i]\n \n return result"} +{"task_id": "HumanEval/34", "solution": "def unique(l: list):\n \"\"\"Return sorted unique elements in a list\n >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [0, 2, 3, 5, 9, 123]\n \"\"\"\n return sorted(set(l))"} +{"task_id": "HumanEval/35", "solution": "def max_element(l: list):\n \"\"\"Return maximum element in the list.\n >>> max_element([1, 2, 3])\n 3\n >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n 123\n \"\"\"\n return max(l)"} +{"task_id": "HumanEval/36", "solution": "def fizz_buzz(n: int) -> int:\n \"\"\"\n Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.\n \n Parameters:\n n (int): The upper limit for the range of numbers to check.\n \n Returns:\n int: The number of times the digit 7 appears in numbers less than n which are divisible by 11 or 13.\n \n Examples:\n >>> fizz_buzz(50)\n 0\n >>> fizz_buzz(78)\n 2\n >>> fizz_buzz(79)\n 3\n \"\"\"\n count = 0\n for i in range(1, n):\n if i % 11 == 0 or i % 13 == 0:\n count += str(i).count('7')\n return count"} +{"task_id": "HumanEval/37", "solution": "def sort_even(l: list):\n \"\"\"\n This function takes a list l and returns a list l' such that\n l' is identical to l in the odd indicies, while its values at the even indicies are equal\n to the values of the even indicies of l, but sorted.\n \n Examples:\n >>> sort_even([1, 2, 3])\n [1, 2, 3]\n >>> sort_even([5, 6, 3, 4])\n [3, 6, 5, 4]\n \"\"\"\n # Extract the even-indexed elements and sort them\n even_sorted = sorted(l[::2])\n \n # Create a new list with the sorted even-indexed elements\n result = [even_sorted.pop(0) if i % 2 == 0 else l[i] for i in range(len(l))]\n \n return result"} +{"task_id": "HumanEval/38", "solution": "def decode_cyclic(s: str) -> str:\n \"\"\"\n Takes as input string encoded with encode_cyclic function. Returns decoded string.\n \"\"\"\n # Split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # Reverse cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[-1] + group[:-1]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)"} +{"task_id": "HumanEval/39", "solution": "def is_prime(num: int) -> bool:\n \"\"\"Check if a number is prime.\"\"\"\n if num <= 1:\n return False\n if num <= 3:\n return True\n if num % 2 == 0 or num % 3 == 0:\n return False\n i = 5\n while i * i <= num:\n if num % i == 0 or num % (i + 2) == 0:\n return False\n i += 6\n return True\ndef fibonacci(n: int) -> int:\n \"\"\"Generate the n-th Fibonacci number.\"\"\"\n if n <= 0:\n return 0\n elif n == 1:\n return 1\n a, b = 0, 1\n for _ in range(2, n + 1):\n a, b = b, a + b\n return b\ndef prime_fib(n: int) -> int:\n \"\"\"\n prime_fib returns n-th number that is a Fibonacci number and it's also prime.\n >>> prime_fib(1)\n 2\n >>> prime_fib(2)\n 3\n >>> prime_fib(3)\n 5\n >>> prime_fib(4)\n 13\n >>> prime_fib(5)\n 89\n \"\"\"\n count = 0\n i = 1\n while True:\n fib_num = fibonacci(i)\n if is_prime(fib_num):\n count += 1\n if count == n:\n return fib_num\n i += 1"} +{"task_id": "HumanEval/40", "solution": "def triples_sum_to_zero(l: list):\n \"\"\"\n triples_sum_to_zero takes a list of integers as an input.\n it returns True if there are three distinct elements in the list that\n sum to zero, and False otherwise.\n\n >>> triples_sum_to_zero([1, 3, 5, 0])\n False\n >>> triples_sum_to_zero([1, 3, -2, 1])\n True\n >>> triples_sum_to_zero([1, 2, 3, 7])\n False\n >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])\n True\n >>> triples_sum_to_zero([1])\n False\n \"\"\"\n n = len(l)\n if n < 3:\n return False\n\n l.sort()\n\n for i in range(n - 2):\n if i > 0 and l[i] == l[i - 1]:\n continue\n left = i + 1\n right = n - 1\n while left < right:\n current_sum = l[i] + l[left] + l[right]\n if current_sum == 0:\n return True\n elif current_sum < 0:\n left += 1\n else:\n right -= 1\n\n return False"} +{"task_id": "HumanEval/41", "solution": "def car_race_collision(n: int) -> int:\n \"\"\"\n Imagine a road that's a perfectly straight infinitely long line.\n n cars are driving left to right; simultaneously, a different set of n cars\n are driving right to left. The two sets of cars start out being very far from\n each other. All cars move in the same speed. Two cars are said to collide\n when a car that's moving left to right hits a car that's moving right to left.\n However, the cars are infinitely sturdy and strong; as a result, they continue moving\n in their trajectory as if they did not collide.\n\n This function outputs the number of such collisions.\n \"\"\"\n # Since the cars are moving in opposite directions, they will never collide.\n # Therefore, the number of collisions is 0.\n return 0"} +{"task_id": "HumanEval/42", "solution": "def incr_list(l: list) -> list:\n \"\"\"Return list with elements incremented by 1.\n >>> incr_list([1, 2, 3])\n [2, 3, 4]\n >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [6, 4, 6, 3, 4, 4, 10, 1, 124]\n \"\"\"\n return [x + 1 for x in l]"} +{"task_id": "HumanEval/43", "solution": "def pairs_sum_to_zero(l):\n \"\"\"\n pairs_sum_to_zero takes a list of integers as an input.\n it returns True if there are two distinct elements in the list that\n sum to zero, and False otherwise.\n >>> pairs_sum_to_zero([1, 3, 5, 0])\n False\n >>> pairs_sum_to_zero([1, 3, -2, 1])\n False\n >>> pairs_sum_to_zero([1, 2, 3, 7])\n False\n >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])\n True\n >>> pairs_sum_to_zero([1])\n False\n \"\"\"\n seen = set()\n for num in l:\n if -num in seen:\n return True\n seen.add(num)\n return False"} +{"task_id": "HumanEval/44", "solution": "def change_base(x: int, base: int) -> str:\n \"\"\"\n Change numerical base of input number x to base.\n Return string representation after the conversion.\n Base numbers are less than 10.\n \n :param x: The number to be converted.\n :param base: The base to which the number should be converted.\n :return: The string representation of the number in the new base.\n \n >>> change_base(8, 3)\n '22'\n >>> change_base(8, 2)\n '1000'\n >>> change_base(7, 2)\n '111'\n \"\"\"\n if base < 2 or base > 9:\n raise ValueError(\"Base must be between 2 and 9\")\n \n if x == 0:\n return '0'\n \n result = []\n while x > 0:\n digit = x % base\n result.append(str(digit))\n x //= base\n \n return ''.join(result[::-1])"} +{"task_id": "HumanEval/45", "solution": "def triangle_area(a, h):\n \"\"\"Given length of a side and high return area for a triangle.\n >>> triangle_area(5, 3)\n 7.5\n \"\"\"\n return 0.5 * a * h"} +{"task_id": "HumanEval/46", "solution": "def fib4(n: int) -> int:\n \"\"\"\n The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fib4(0) -> 0\n fib4(1) -> 0\n fib4(2) -> 2\n fib4(3) -> 0\n fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).\n Please write a function to efficiently compute the n-th element of the fib4 number sequence. Do not use recursion.\n \n >>> fib4(5)\n 4\n >>> fib4(6)\n 8\n >>> fib4(7)\n 14\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n elif n == 3:\n return 0\n else:\n a, b, c, d = 0, 0, 2, 0\n for _ in range(4, n + 1):\n a, b, c, d = b, c, d, a + b + c + d\n return d"} +{"task_id": "HumanEval/47", "solution": "def median(l: list):\n \"\"\"Return median of elements in the list l.\n >>> median([3, 1, 2, 4, 5])\n 3\n >>> median([-10, 4, 6, 1000, 10, 20])\n 15.0\n \"\"\"\n l.sort()\n n = len(l)\n if n % 2 == 0:\n return (l[n // 2 - 1] + l[n // 2]) / 2\n else:\n return l[n // 2]"} +{"task_id": "HumanEval/48", "solution": "def is_palindrome(text: str) -> bool:\n \"\"\"\n Checks if given string is a palindrome\n >>> is_palindrome('')\n True\n >>> is_palindrome('aba')\n True\n >>> is_palindrome('aaaaa')\n True\n >>> is_palindrome('zbcd')\n False\n \"\"\"\n return text == text[::-1]"} +{"task_id": "HumanEval/49", "solution": "def modp(n: int, p: int) -> int:\n \"\"\"Return 2^n modulo p (be aware of numerics).\n >>> modp(3, 5)\n 3\n >>> modp(1101, 101)\n 2\n >>> modp(0, 101)\n 1\n >>> modp(3, 11)\n 8\n >>> modp(100, 101)\n 1\n \"\"\"\n # Calculate 2^n modulo p using the property of modular arithmetic\n return (2 ** n) % p"} +{"task_id": "HumanEval/50", "solution": "def decode_shift(s: str) -> str:\n \"\"\"\n takes as input string encoded with encode_shift function. Returns decoded string.\n \"\"\"\n return \"\".join([chr(((ord(ch) - 5 - ord(\"a\")) % 26) + ord(\"a\")) for ch in s])"} +{"task_id": "HumanEval/51", "solution": "def remove_vowels(text):\n \"\"\"\n remove_vowels is a function that takes string and returns string without vowels.\n >>> remove_vowels('')\n ''\n >>> remove_vowels(\"abcdef\\nghijklm\")\n 'bcdf\\nghjklm'\n >>> remove_vowels('abcdef')\n 'bcdf'\n >>> remove_vowels('aaaaa')\n ''\n >>> remove_vowels('aaBAA')\n 'B'\n >>> remove_vowels('zbcd')\n 'zbcd'\n \"\"\"\n vowels = 'aeiouAEIOU'\n return ''.join([char for char in text if char not in vowels])"} +{"task_id": "HumanEval/52", "solution": "def below_threshold(l: list, t: int) -> bool:\n \"\"\"\n Return True if all numbers in the list l are below threshold t.\n \n Parameters:\n l (list): A list of integers.\n t (int): The threshold value.\n \n Returns:\n bool: True if all numbers in the list are below the threshold, False otherwise.\n \n Examples:\n >>> below_threshold([1, 2, 4, 10], 100)\n True\n >>> below_threshold([1, 20, 4, 10], 5)\n False\n \"\"\"\n return all(x < t for x in l)"} +{"task_id": "HumanEval/53", "solution": "def add(x: int, y: int) -> int:\n \"\"\"\n Add two numbers x and y\n \n >>> add(2, 3)\n 5\n >>> add(5, 7)\n 12\n \"\"\"\n return x + y"} +{"task_id": "HumanEval/54", "solution": "def same_chars(s0: str, s1: str) -> bool:\n \"\"\"\n Check if two words have the same characters.\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc')\n True\n >>> same_chars('abcd', 'dddddddabc')\n True\n >>> same_chars('dddddddabc', 'abcd')\n True\n >>> same_chars('eabcd', 'dddddddabc')\n False\n >>> same_chars('abcd', 'dddddddabce')\n False\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddddabc')\n False\n \"\"\"\n # Sort the characters in both strings\n sorted_s0 = sorted(s0)\n sorted_s1 = sorted(s1)\n \n # Compare the sorted lists\n return sorted_s0 == sorted_s1"} +{"task_id": "HumanEval/55", "solution": "def fib(n: int) -> int:\n \"\"\"\n Return n-th Fibonacci number.\n \n Parameters:\n n (int): The position of the Fibonacci number to return.\n \n Returns:\n int: The n-th Fibonacci number.\n \n Examples:\n >>> fib(10)\n 55\n >>> fib(1)\n 1\n >>> fib(8)\n 21\n \"\"\"\n if n <= 0:\n raise ValueError(\"n must be a positive integer\")\n a, b = 0, 1\n for _ in range(n - 1):\n a, b = b, a + b\n return b"} +{"task_id": "HumanEval/56", "solution": "def correct_bracketing(brackets: str) -> bool:\n \"\"\"\n brackets is a string of \"<\" and \">\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"<\")\n False\n >>> correct_bracketing(\"<>\")\n True\n >>> correct_bracketing(\"<<><>>\")\n True\n >>> correct_bracketing(\"><<>\")\n False\n \"\"\"\n stack = []\n for bracket in brackets:\n if bracket == \"<\":\n stack.append(bracket)\n elif bracket == \">\":\n if not stack or stack.pop() != \"<\":\n return False\n return not stack"} +{"task_id": "HumanEval/57", "solution": "def monotonic(l: list):\n \"\"\"Return True is list elements are monotonically increasing or decreasing.\n >>> monotonic([1, 2, 4, 20])\n True\n >>> monotonic([1, 20, 4, 10])\n False\n >>> monotonic([4, 1, 0, -10])\n True\n \"\"\"\n if len(l) < 2:\n return True # Single element or empty list is always monotonic\n\n # Check if the list is increasing or decreasing\n increasing = all(l[i] <= l[i + 1] for i in range(len(l) - 1))\n decreasing = all(l[i] >= l[i + 1] for i in range(len(l) - 1))\n\n return increasing or decreasing"} +{"task_id": "HumanEval/58", "solution": "def common(l1: list, l2: list) -> list:\n \"\"\"Return sorted unique common elements for two lists.\n >>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])\n [1, 5, 653]\n >>> common([5, 3, 2, 8], [3, 2])\n [2, 3]\n\n \"\"\"\n # Convert lists to sets for efficient intersection and unique elements\n set1 = set(l1)\n set2 = set(l2)\n \n # Find the intersection of the two sets\n common_elements = set1.intersection(set2)\n \n # Convert the result back to a list and sort it\n return sorted(list(common_elements))"} +{"task_id": "HumanEval/59", "solution": "def largest_prime_factor(n: int) -> int:\n \"\"\"\n Return the largest prime factor of n. Assume n > 1 and is not a prime.\n \n Parameters:\n n (int): The number to find the largest prime factor of.\n \n Returns:\n int: The largest prime factor of n.\n \n Examples:\n >>> largest_prime_factor(13195)\n 29\n >>> largest_prime_factor(2048)\n 2\n \"\"\"\n def is_prime(num: int) -> bool:\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n largest_factor = 2\n while n % largest_factor != 0:\n largest_factor += 1\n while n % largest_factor == 0:\n n //= largest_factor\n\n return largest_factor"} +{"task_id": "HumanEval/60", "solution": "def sum_to_n(n: int) -> int:\n \"\"\"\n sum_to_n is a function that sums numbers from 1 to n.\n \n Parameters:\n n (int): The upper limit of the sum.\n \n Returns:\n int: The sum of numbers from 1 to n.\n \n Examples:\n >>> sum_to_n(30)\n 465\n >>> sum_to_n(100)\n 5050\n >>> sum_to_n(5)\n 15\n >>> sum_to_n(10)\n 55\n >>> sum_to_n(1)\n 1\n \"\"\"\n return sum(range(1, n + 1))"} +{"task_id": "HumanEval/61", "solution": "def correct_bracketing(brackets: str) -> bool:\n \"\"\"\n brackets is a string of \"(\" and \")\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"(\")\n False\n >>> correct_bracketing(\"()\")\n True\n >>> correct_bracketing(\"(()())\")\n True\n >>> correct_bracketing(\")(()\")\n False\n \"\"\"\n stack = []\n for bracket in brackets:\n if bracket == \"(\":\n stack.append(bracket)\n elif bracket == \")\":\n if not stack:\n return False\n stack.pop()\n return not stack"} +{"task_id": "HumanEval/62", "solution": "def derivative(xs: list) -> list:\n \"\"\"\n xs represent coefficients of a polynomial.\n xs[0] + xs[1] * x + xs[2] * x^2 + ....\n Return derivative of this polynomial in the same form.\n \n >>> derivative([3, 1, 2, 4, 5])\n [1, 4, 12, 20]\n >>> derivative([1, 2, 3])\n [2, 6]\n \"\"\"\n # Remove the first coefficient (constant term)\n derivative_coefficients = xs[1:]\n \n # Multiply each coefficient by its corresponding power\n for i in range(len(derivative_coefficients)):\n derivative_coefficients[i] *= i + 1\n \n return derivative_coefficients"} +{"task_id": "HumanEval/63", "solution": "def fibfib(n: int) -> int:\n \"\"\"\n The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fibfib(0) == 0\n fibfib(1) == 0\n fibfib(2) == 1\n fibfib(n) == fibfib(n-1) + fibfib(n-2) + fibfib(n-3).\n Please write a function to efficiently compute the n-th element of the fibfib number sequence.\n \n >>> fibfib(1)\n 0\n >>> fibfib(5)\n 4\n >>> fibfib(8)\n 24\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 1\n else:\n a, b, c = 0, 0, 1\n for _ in range(3, n + 1):\n a, b, c = b, c, a + b + c\n return c"} +{"task_id": "HumanEval/64", "solution": "def vowels_count(s):\n \"\"\"\n Write a function vowels_count which takes a string representing\n a word as input and returns the number of vowels in the string.\n Vowels in this case are 'a', 'e', 'i', 'o', 'u'. Here, 'y' is also a\n vowel, but only when it is at the end of the given word.\n\n Example:\n >>> vowels_count(\"abcde\")\n 2\n >>> vowels_count(\"ACEDY\")\n 3\n \"\"\"\n vowels = 'aeiou'\n count = 0\n for char in s:\n if char.lower() in vowels:\n count += 1\n if s.endswith('y'):\n count += 1\n return count"} +{"task_id": "HumanEval/65", "solution": "def circular_shift(x, shift):\n \"\"\"Circular shift the digits of the integer x, shift the digits right by shift\n and return the result as a string.\n If shift > number of digits, return digits reversed.\n >>> circular_shift(12, 1)\n \"21\"\n >>> circular_shift(12, 2)\n \"12\"\n \"\"\"\n # Convert the integer to a string to easily manipulate the digits\n x_str = str(x)\n \n # Calculate the effective shift\n effective_shift = shift % len(x_str)\n \n # Perform the circular shift\n shifted_str = x_str[-effective_shift:] + x_str[:-effective_shift]\n \n # Return the result as a string\n return shifted_str"} +{"task_id": "HumanEval/66", "solution": "def digitSum(s):\n \"\"\"\n Task\n Write a function that takes a string as input and returns the sum of the upper characters only'\n ASCII codes.\n\n Examples:\n digitSum(\"\") => 0\n digitSum(\"abAB\") => 131\n digitSum(\"abcCd\") => 67\n digitSum(\"helloE\") => 69\n digitSum(\"woArBld\") => 131\n digitSum(\"aAaaaXa\") => 153\n \"\"\"\n return sum(ord(c) for c in s if c.isupper())"} +{"task_id": "HumanEval/67", "solution": "def fruit_distribution(s, n):\n \"\"\"\n In this task, you will be given a string that represents a number of apples and oranges \n that are distributed in a basket of fruit this basket contains \n apples, oranges, and mango fruits. Given the string that represents the total number of \n the oranges and apples and an integer that represent the total number of the fruits \n in the basket return the number of the mango fruits in the basket.\n for examble:\n fruit_distribution(\"5 apples and 6 oranges\", 19) ->19 - 5 - 6 = 8\n fruit_distribution(\"0 apples and 1 oranges\",3) -> 3 - 0 - 1 = 2\n fruit_distribution(\"2 apples and 3 oranges\", 100) -> 100 - 2 - 3 = 95\n fruit_distribution(\"100 apples and 1 oranges\",120) -> 120 - 100 - 1 = 19\n \"\"\"\n # Extract the number of apples and oranges from the string\n apples, oranges = map(int, s.split()[1::2])\n \n # Calculate the number of mangoes\n mangoes = n - apples - oranges\n \n return mangoes"} +{"task_id": "HumanEval/68", "solution": "def pluck(arr):\n \"\"\"\n Given an array representing a branch of a tree that has non-negative integer nodes\n your task is to pluck one of the nodes and return it.\n The plucked node should be the node with the smallest even value.\n If multiple nodes with the same smallest even value are found return the node that has smallest index.\n\n The plucked node should be returned in a list, [ smalest_value, its index ],\n If there are no even values or the given array is empty, return [].\n\n Example 1:\n Input: [4,2,3]\n Output: [2, 1]\n Explanation: 2 has the smallest even value, and 2 has the smallest index.\n\n Example 2:\n Input: [1,2,3]\n Output: [2, 1]\n Explanation: 2 has the smallest even value, and 2 has the smallest index. \n\n Example 3:\n Input: []\n Output: []\n \n Example 4:\n Input: [5, 0, 3, 0, 4, 2]\n Output: [0, 1]\n Explanation: 0 is the smallest value, but there are two zeros,\n so we will choose the first zero, which has the smallest index.\n\n Constraints:\n * 1 <= nodes.length <= 10000\n * 0 <= node.value\n \"\"\"\n if not arr:\n return []\n\n even_values = [(value, index) for index, value in enumerate(arr) if value % 2 == 0]\n if not even_values:\n return []\n\n smallest_even_value = min(even_values, key=lambda x: (x[0], x[1]))\n return [smallest_even_value[0], smallest_even_value[1]]"} +{"task_id": "HumanEval/69", "solution": "def search(lst):\n '''\n You are given a non-empty list of positive integers. Return the greatest integer that is greater than \n zero, and has a frequency greater than or equal to the value of the integer itself. \n The frequency of an integer is the number of times it appears in the list.\n If no such a value exist, return -1.\n Examples:\n search([4, 1, 2, 2, 3, 1]) == 2\n search([1, 2, 2, 3, 3, 3, 4, 4, 4]) == 3\n search([5, 5, 4, 4, 4]) == -1\n '''\n from collections import Counter\n count = Counter(lst)\n for num in sorted(count.keys(), reverse=True):\n if count[num] >= num:\n return num\n return -1"} +{"task_id": "HumanEval/70", "solution": "def strange_sort_list(lst):\n '''\n Given list of integers, return list in strange order.\n Strange sorting, is when you start with the minimum value,\n then maximum of the remaining integers, then minimum and so on.\n\n Examples:\n strange_sort_list([1, 2, 3, 4]) == [1, 4, 2, 3]\n strange_sort_list([5, 5, 5, 5]) == [5, 5, 5, 5]\n strange_sort_list([]) == []\n '''\n if not lst:\n return []\n\n sorted_lst = []\n while lst:\n # Take the minimum value\n min_value = min(lst)\n sorted_lst.append(min_value)\n lst.remove(min_value)\n\n # If there are still elements, take the maximum value\n if lst:\n max_value = max(lst)\n sorted_lst.append(max_value)\n lst.remove(max_value)\n\n return sorted_lst"} +{"task_id": "HumanEval/71", "solution": "def triangle_area(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return the area of\n the triangle rounded to 2 decimal points if the three sides form a valid triangle. \n Otherwise return -1\n Three sides make a valid triangle when the sum of any two sides is greater \n than the third side.\n Example:\n triangle_area(3, 4, 5) == 6.00\n triangle_area(1, 2, 10) == -1\n '''\n # Check if the three sides can form a valid triangle\n if a + b > c and a + c > b and b + c > a:\n # Calculate the semi-perimeter\n s = (a + b + c) / 2\n # Calculate the area using Heron's formula\n area = (s * (s - a) * (s - b) * (s - c)) ** 0.5\n # Return the area rounded to 2 decimal points\n return round(area, 2)\n else:\n # Return -1 if the sides do not form a valid triangle\n return -1"} +{"task_id": "HumanEval/72", "solution": "def will_it_fly(q, w):\n '''\n Write a function that returns True if the object q will fly, and False otherwise.\n The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.\n\n Example:\n will_it_fly([1, 2], 5) \u279e False \n # 1+2 is less than the maximum possible weight, but it's unbalanced.\n\n will_it_fly([3, 2, 3], 1) \u279e False\n # it's balanced, but 3+2+3 is more than the maximum possible weight.\n\n will_it_fly([3, 2, 3], 9) \u279e True\n # 3+2+3 is less than the maximum possible weight, and it's balanced.\n\n will_it_fly([3], 5) \u279e True\n # 3 is less than the maximum possible weight, and it's balanced.\n '''\n # Check if the list is a palindrome\n if q != q[::-1]:\n return False\n \n # Check if the sum of the elements is less than or equal to the maximum possible weight\n if sum(q) <= w:\n return True\n else:\n return False"} +{"task_id": "HumanEval/73", "solution": "def smallest_change(arr):\n \"\"\"\n Given an array arr of integers, find the minimum number of elements that\n need to be changed to make the array palindromic. A palindromic array is an array that\n is read the same backwards and forwards. In one change, you can change one element to any other element.\n\n For example:\n smallest_change([1,2,3,5,4,7,9,6]) == 4\n smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1\n smallest_change([1, 2, 3, 2, 1]) == 0\n \"\"\"\n n = len(arr)\n changes = 0\n for i in range(n // 2):\n if arr[i] != arr[n - 1 - i]:\n changes += 1\n return changes"} +{"task_id": "HumanEval/74", "solution": "def total_match(lst1, lst2):\n '''\n Write a function that accepts two lists of strings and returns the list that has \n total number of chars in the all strings of the list less than the other list.\n\n if the two lists have the same number of chars, return the first list.\n\n Examples\n total_match([], []) \u279e []\n total_match(['hi', 'admin'], ['hI', 'Hi']) \u279e ['hI', 'Hi']\n total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) \u279e ['hi', 'admin']\n total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) \u279e ['hI', 'hi', 'hi']\n total_match(['4'], ['1', '2', '3', '4', '5']) \u279e ['4']\n '''\n def total_chars(lst):\n return sum(len(s) for s in lst)\n\n total1 = total_chars(lst1)\n total2 = total_chars(lst2)\n\n if total1 < total2:\n return lst1\n elif total2 < total1:\n return lst2\n else:\n return lst1"} +{"task_id": "HumanEval/75", "solution": "def is_multiply_prime(a):\n \"\"\"\n Write a function that returns true if the given number is the multiplication of 3 prime numbers\n and false otherwise.\n Knowing that (a) is less then 100. \n Example:\n is_multiply_prime(30) == True\n 30 = 2 * 3 * 5\n \"\"\"\n def is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n factors = []\n for i in range(2, int(a**0.5) + 1):\n if a % i == 0:\n factors.append(i)\n if a // i != i:\n factors.append(a // i)\n\n prime_factors = [factor for factor in factors if is_prime(factor)]\n return len(prime_factors) == 3"} +{"task_id": "HumanEval/76", "solution": "def is_simple_power(x, n):\n \"\"\"\n Checks if a number x is a simple power of n.\n \n A number x is a simple power of n if n**int(x**(1/n)) == x.\n \n Parameters:\n x (int): The number to check.\n n (int): The base of the power.\n \n Returns:\n bool: True if x is a simple power of n, False otherwise.\n \"\"\"\n if n == 1:\n return x == 1\n if x == 1:\n return True\n if x == 0:\n return False\n if n == 0:\n return False\n \n # Calculate the integer part of x raised to the power of 1/n\n power = int(x ** (1 / n))\n \n # Check if n raised to the power of the integer part equals x\n return n ** power == x"} +{"task_id": "HumanEval/77", "solution": "def iscube(a):\n '''\n Write a function that takes an integer a and returns True \n if this integer is a cube of some integer number.\n Note: you may assume the input is always valid.\n Examples:\n iscube(1) ==> True\n iscube(2) ==> False\n iscube(-1) ==> True\n iscube(64) ==> True\n iscube(0) ==> True\n iscube(180) ==> False\n '''\n if a == 0:\n return True\n if a < 0:\n a = -a\n cube_root = round(a ** (1/3))\n return cube_root ** 3 == a"} +{"task_id": "HumanEval/78", "solution": "def hex_key(num):\n \"\"\"\n Counts the number of hexadecimal digits that are primes.\n \n Parameters:\n num (str): A string representing a hexadecimal number.\n \n Returns:\n int: The number of hexadecimal digits that are primes.\n \"\"\"\n # Define the set of prime hexadecimal digits\n prime_hex_digits = {'2', '3', '5', '7', 'B', 'D'}\n \n # Count the number of prime hexadecimal digits\n return sum(1 for digit in num if digit in prime_hex_digits)"} +{"task_id": "HumanEval/79", "solution": "def decimal_to_binary(decimal):\n \"\"\"\n Converts a decimal number to its binary representation.\n \n Parameters:\n decimal (int): The decimal number to be converted.\n \n Returns:\n str: A string representing the binary number, with 'db' at the beginning and end.\n \"\"\"\n binary = bin(decimal)[2:] # Convert to binary and remove the '0b' prefix\n return f\"db{binary}db\""} +{"task_id": "HumanEval/80", "solution": "def is_happy(s):\n \"\"\"\n You are given a string s.\n Your task is to check if the string is happy or not.\n A string is happy if its length is at least 3 and every 3 consecutive letters are distinct\n For example:\n is_happy(a) => False\n is_happy(aa) => False\n is_happy(abcd) => True\n is_happy(aabb) => False\n is_happy(adb) => True\n is_happy(xyy) => False\n \"\"\"\n if len(s) < 3:\n return False\n \n for i in range(len(s) - 2):\n if len(set(s[i:i+3])) != 3:\n return False\n \n return True"} +{"task_id": "HumanEval/81", "solution": "def numerical_letter_grade(grades):\n \"\"\"\n Converts a list of GPAs to a list of letter grades based on the following table:\n \n GPA | Letter grade\n 4.0 A+\n > 3.7 A \n > 3.3 A- \n > 3.0 B+\n > 2.7 B \n > 2.3 B-\n > 2.0 C+\n > 1.7 C\n > 1.3 C-\n > 1.0 D+ \n > 0.7 D \n > 0.0 D-\n 0.0 E\n \n Example:\n numerical_letter_grade([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-']\n \"\"\"\n letter_grades = []\n for gpa in grades:\n if gpa == 4.0:\n letter_grades.append('A+')\n elif gpa > 3.7:\n letter_grades.append('A')\n elif gpa > 3.3:\n letter_grades.append('A-')\n elif gpa > 3.0:\n letter_grades.append('B+')\n elif gpa > 2.7:\n letter_grades.append('B')\n elif gpa > 2.3:\n letter_grades.append('B-')\n elif gpa > 2.0:\n letter_grades.append('C+')\n elif gpa > 1.7:\n letter_grades.append('C')\n elif gpa > 1.3:\n letter_grades.append('C-')\n elif gpa > 1.0:\n letter_grades.append('D+')\n elif gpa > 0.7:\n letter_grades.append('D')\n elif gpa > 0.0:\n letter_grades.append('D-')\n else:\n letter_grades.append('E')\n return letter_grades"} +{"task_id": "HumanEval/82", "solution": "def prime_length(string):\n \"\"\"\n Write a function that takes a string and returns True if the string\n length is a prime number or False otherwise\n Examples\n prime_length('Hello') == True\n prime_length('abcdcba') == True\n prime_length('kittens') == True\n prime_length('orange') == False\n \"\"\"\n def is_prime(n):\n \"\"\"Helper function to check if a number is prime\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n return is_prime(len(string))"} +{"task_id": "HumanEval/83", "solution": "def starts_one_ends(n):\n \"\"\"\n Given a positive integer n, return the count of the numbers of n-digit\n positive integers that start or end with 1.\n \"\"\"\n if n < 1:\n raise ValueError(\"n must be a positive integer\")\n \n # The count of numbers of n-digit positive integers that start or end with 1\n # is 2 * 9 * 10^(n-2)\n # This is because for each n-digit number, there are 2 choices (start with 1 or end with 1)\n # and there are 9 choices for the first digit (1-9)\n # and 10 choices for the remaining digits (0-9)\n # The first digit can be 1, so there are 9 choices for the first digit\n # The remaining digits can be any of the 10 digits, so there are 10^(n-2) choices\n # Therefore, the total count is 2 * 9 * 10^(n-2)\n return 2 * 9 * 10**(n - 2)"} +{"task_id": "HumanEval/84", "solution": "def solve(N):\n \"\"\"Given a positive integer N, return the total sum of its digits in binary.\n \n Example\n For N = 1000, the sum of digits will be 1 the output should be \"1\".\n For N = 150, the sum of digits will be 6 the output should be \"110\".\n For N = 147, the sum of digits will be 12 the output should be \"1100\".\n \n Variables:\n @N integer\n Constraints: 0 \u2264 N \u2264 10000.\n Output:\n a string of binary number\n \"\"\"\n # Convert the number to a string to easily iterate over each digit\n N_str = str(N)\n \n # Initialize the sum of digits\n sum_of_digits = 0\n \n # Iterate over each digit in the string\n for digit in N_str:\n # Convert the digit back to an integer and add it to the sum\n sum_of_digits += int(digit)\n \n # Convert the sum of digits to binary and return it as a string\n return bin(sum_of_digits)[2:]"} +{"task_id": "HumanEval/85", "solution": "def add(lst):\n \"\"\"\n Given a non-empty list of integers lst, add the even elements that are at odd indices.\n\n Examples:\n add([4, 2, 6, 7]) ==> 2\n \"\"\"\n return sum(lst[i] for i in range(1, len(lst), 2) if lst[i] % 2 == 0)"} +{"task_id": "HumanEval/86", "solution": "def anti_shuffle(s):\n \"\"\"\n Write a function that takes a string and returns an ordered version of it.\n Ordered version of string, is a string where all words (separated by space)\n are replaced by a new word where all the characters arranged in\n ascending order based on ascii value.\n Note: You should keep the order of words and blank spaces in the sentence.\n\n For example:\n anti_shuffle('Hi') returns 'Hi'\n anti_shuffle('hello') returns 'ehllo'\n anti_shuffle('Hello World!!!') returns 'Hello !!!Wdlor'\n \"\"\"\n # Split the string into words\n words = s.split()\n \n # Sort each word by ASCII value and join them back together\n sorted_words = [''.join(sorted(word)) for word in words]\n \n # Join the sorted words back together with spaces\n result = ' '.join(sorted_words)\n \n return result"} +{"task_id": "HumanEval/87", "solution": "def get_row(lst, x):\n \"\"\"\n You are given a 2 dimensional data, as a nested lists,\n which is similar to matrix, however, unlike matrices,\n each row may contain a different number of columns.\n Given lst, and integer x, find integers x in the list,\n and return list of tuples, [(x1, y1), (x2, y2) ...] such that\n each tuple is a coordinate - (row, columns), starting with 0.\n Sort coordinates initially by rows in ascending order.\n Also, sort coordinates of the row by columns in descending order.\n \n Examples:\n get_row([\n [1,2,3,4,5,6],\n [1,2,3,4,1,6],\n [1,2,3,4,5,1]\n ], 1) == [(0, 0), (1, 4), (1, 0), (2, 5), (2, 0)]\n get_row([], 1) == []\n get_row([[], [1], [1, 2, 3]], 3) == [(2, 2)]\n \"\"\"\n # Initialize an empty list to store the coordinates\n coordinates = []\n \n # Iterate over the rows in the list\n for i, row in enumerate(lst):\n # Iterate over the columns in the row\n for j, value in enumerate(row):\n # Check if the value is equal to x\n if value == x:\n # Append the coordinate to the list\n coordinates.append((i, j))\n \n # Sort the coordinates by rows in ascending order\n coordinates.sort(key=lambda x: x[0])\n \n # Sort the coordinates of each row by columns in descending order\n for i in range(len(coordinates)):\n coordinates[i] = (coordinates[i][0], len(lst[coordinates[i][0]]) - 1 - coordinates[i][1])\n \n # Return the sorted list of coordinates\n return coordinates"} +{"task_id": "HumanEval/88", "solution": "def sort_array(array):\n \"\"\"\n Given an array of non-negative integers, return a copy of the given array after sorting,\n you will sort the given array in ascending order if the sum( first index value, last index value) is odd,\n or sort it in descending order if the sum( first index value, last index value) is even.\n\n Note:\n * don't change the given array.\n\n Examples:\n * sort_array([]) => []\n * sort_array([5]) => [5]\n * sort_array([2, 4, 3, 0, 1, 5]) => [0, 1, 2, 3, 4, 5]\n * sort_array([2, 4, 3, 0, 1, 5, 6]) => [6, 5, 4, 3, 2, 1, 0]\n \"\"\"\n if not array:\n return []\n \n # Calculate the sum of the first and last elements\n sum_first_last = array[0] + array[-1]\n \n # Sort the array in ascending order if the sum is odd, otherwise in descending order\n if sum_first_last % 2 == 1:\n return sorted(array)\n else:\n return sorted(array, reverse=True)"} +{"task_id": "HumanEval/89", "solution": "def encrypt(s):\n \"\"\"\n Create a function encrypt that takes a string as an argument and\n returns a string encrypted with the alphabet being rotated. \n The alphabet should be rotated in a manner such that the letters \n shift down by two multiplied to two places.\n For example:\n encrypt('hi') returns 'lm'\n encrypt('asdfghjkl') returns 'ewhjklnop'\n encrypt('gf') returns 'kj'\n encrypt('et') returns 'ix'\n \"\"\"\n encrypted_s = ''\n for char in s:\n if char.isalpha():\n shift = 2 * (ord(char.lower()) - ord('a') + 2) % 26\n encrypted_char = chr(ord('a') + shift)\n encrypted_s += encrypted_char\n else:\n encrypted_s += char\n return encrypted_s"} +{"task_id": "HumanEval/90", "solution": "def next_smallest(lst):\n \"\"\"\n You are given a list of integers.\n Write a function next_smallest() that returns the 2nd smallest element of the list.\n Return None if there is no such element.\n \n next_smallest([1, 2, 3, 4, 5]) == 2\n next_smallest([5, 1, 4, 3, 2]) == 2\n next_smallest([]) == None\n next_smallest([1, 1]) == None\n \"\"\"\n if len(lst) < 2:\n return None\n \n # Find the smallest and second smallest elements\n smallest = float('inf')\n second_smallest = float('inf')\n \n for num in lst:\n if num < smallest:\n second_smallest = smallest\n smallest = num\n elif smallest < num < second_smallest:\n second_smallest = num\n \n return second_smallest if second_smallest != float('inf') else None"} +{"task_id": "HumanEval/91", "solution": "def is_bored(S):\n \"\"\"\n You'll be given a string of words, and your task is to count the number\n of boredoms. A boredom is a sentence that starts with the word \"I\".\n Sentences are delimited by '.', '?' or '!'.\n \n For example:\n >>> is_bored(\"Hello world\")\n 0\n >>> is_bored(\"The sky is blue. The sun is shining. I love this weather\")\n 1\n \"\"\"\n # Split the string into sentences\n sentences = S.split('.') + S.split('?') + S.split('!')\n # Filter out empty strings and strip leading/trailing whitespace\n sentences = [sentence.strip() for sentence in sentences if sentence.strip()]\n # Count the number of sentences that start with \"I\"\n return sum(1 for sentence in sentences if sentence.startswith('I'))"} +{"task_id": "HumanEval/92", "solution": "def any_int(x, y, z):\n \"\"\"\n Create a function that takes 3 numbers.\n Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers.\n Returns false in any other cases.\n \n Examples\n any_int(5, 2, 7) \u279e True\n \n any_int(3, 2, 2) \u279e False\n\n any_int(3, -2, 1) \u279e True\n \n any_int(3.6, -2.2, 2) \u279e False\n \"\"\"\n # Check if all inputs are integers\n if not all(isinstance(num, int) for num in (x, y, z)):\n return False\n \n # Check if any number is equal to the sum of the other two\n if x + y == z or x + z == y or y + z == x:\n return True\n else:\n return False"} +{"task_id": "HumanEval/93", "solution": "def encode(message):\n \"\"\"\n Write a function that takes a message, and encodes in such a \n way that it swaps case of all letters, replaces all vowels in \n the message with the letter that appears 2 places ahead of that \n vowel in the english alphabet. \n Assume only letters. \n \n Examples:\n >>> encode('test')\n 'TGST'\n >>> encode('This is a message')\n 'tHKS KS C MGSSCGG'\n \"\"\"\n vowels = 'aeiouAEIOU'\n encoded_message = ''\n for char in message:\n if char in vowels:\n # Find the position of the vowel in the alphabet\n position = ord(char) - ord('a') if char.islower() else ord(char) - ord('A')\n # Calculate the position of the letter 2 places ahead\n new_position = (position + 2) % 26\n # Convert the new position back to a character\n new_char = chr(new_position + ord('a')) if char.islower() else chr(new_position + ord('A'))\n encoded_message += new_char\n else:\n encoded_message += char\n return encoded_message"} +{"task_id": "HumanEval/94", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef sum_of_digits(n):\n \"\"\"Calculate the sum of digits of a number.\"\"\"\n return sum(int(digit) for digit in str(n))\n\ndef largest_prime_and_sum_of_digits(lst):\n \"\"\"Find the largest prime value in the list and return the sum of its digits.\"\"\"\n largest_prime = max(filter(is_prime, lst), default=None)\n if largest_prime is None:\n return 0\n return sum_of_digits(largest_prime)\n\n# Test cases"} +{"task_id": "HumanEval/95", "solution": "def check_dict_case(dict):\n \"\"\"\n Given a dictionary, return True if all keys are strings in lower \n case or all keys are strings in upper case, else return False.\n The function should return False is the given dictionary is empty.\n Examples:\n check_dict_case({\"a\":\"apple\", \"b\":\"banana\"}) should return True.\n check_dict_case({\"a\":\"apple\", \"A\":\"banana\", \"B\":\"banana\"}) should return False.\n check_dict_case({\"a\":\"apple\", 8:\"banana\", \"a\":\"apple\"}) should return False.\n check_dict_case({\"Name\":\"John\", \"Age\":\"36\", \"City\":\"Houston\"}) should return False.\n check_dict_case({\"STATE\":\"NC\", \"ZIP\":\"12345\" }) should return True.\n \"\"\"\n if not dict:\n return False\n \n keys = list(dict.keys())\n lower_case_keys = [key for key in keys if isinstance(key, str) and key.islower()]\n upper_case_keys = [key for key in keys if isinstance(key, str) and key.isupper()]\n \n if lower_case_keys and upper_case_keys:\n return False\n else:\n return True"} +{"task_id": "HumanEval/96", "solution": "def is_prime(num):\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\ndef count_up_to(n):\n \"\"\"Implement a function that takes an non-negative integer and returns an array of the first n\n integers that are prime numbers and less than n.\n \"\"\"\n primes = []\n for i in range(2, n):\n if is_prime(i):\n primes.append(i)\n return primes"} +{"task_id": "HumanEval/97", "solution": "def multiply(a, b):\n \"\"\"\n Complete the function that takes two integers and returns \n the product of their unit digits.\n Assume the input is always valid.\n Examples:\n multiply(148, 412) should return 16.\n multiply(19, 28) should return 72.\n multiply(2020, 1851) should return 0.\n multiply(14,-15) should return 20.\n \"\"\"\n # Extract the unit digits of a and b\n unit_digit_a = abs(a) % 10\n unit_digit_b = abs(b) % 10\n \n # Calculate the product of the unit digits\n product = unit_digit_a * unit_digit_b\n \n return product"} +{"task_id": "HumanEval/98", "solution": "def count_upper(s):\n \"\"\"\n Given a string s, count the number of uppercase vowels in even indices.\n \n For example:\n count_upper('aBCdEf') returns 1\n count_upper('abcdefg') returns 0\n count_upper('dBBE') returns 0\n \"\"\"\n vowels = 'AEIOU'\n count = 0\n for i in range(0, len(s), 2):\n if s[i] in vowels:\n count += 1\n return count"} +{"task_id": "HumanEval/99", "solution": "def closest_integer(value):\n '''\n Create a function that takes a value (string) representing a number\n and returns the closest integer to it. If the number is equidistant\n from two integers, round it away from zero.\n\n Examples\n >>> closest_integer(\"10\")\n 10\n >>> closest_integer(\"15.3\")\n 15\n\n Note:\n Rounding away from zero means that if the given number is equidistant\n from two integers, the one you should return is the one that is the\n farthest from zero. For example closest_integer(\"14.5\") should\n return 15 and closest_integer(\"-14.5\") should return -15.\n '''\n num = float(value)\n if num > 0:\n return int(num + 0.5)\n else:\n return int(num - 0.5)"} +{"task_id": "HumanEval/100", "solution": "def make_a_pile(n):\n \"\"\"\n Given a positive integer n, you have to make a pile of n levels of stones.\n The first level has n stones.\n The number of stones in the next level is:\n - the next odd number if n is odd.\n - the next even number if n is even.\n Return the number of stones in each level in a list, where element at index\n i represents the number of stones in the level (i+1).\n\n Examples:\n >>> make_a_pile(3)\n [3, 5, 7]\n \"\"\"\n if n <= 0:\n raise ValueError(\"n must be a positive integer\")\n \n # Initialize the list with the first level\n pile = [n]\n \n # Determine the next number based on the parity of n\n next_number = n + 2 if n % 2 == 0 else n + 1\n \n # Generate the rest of the levels\n for _ in range(n - 1):\n pile.append(next_number)\n next_number += 2 if next_number % 2 == 0 else 1\n \n return pile"} +{"task_id": "HumanEval/101", "solution": "import re\ndef words_string(s):\n \"\"\"\n You will be given a string of words separated by commas or spaces. Your task is\n to split the string into words and return an array of the words.\n \n For example:\n words_string(\"Hi, my name is John\") == [\"Hi\", \"my\", \"name\", \"is\", \"John\"]\n words_string(\"One, two, three, four, five, six\") == [\"One\", \"two\", \"three\", \"four\", \"five\", \"six\"]\n \"\"\"\n # Split the string into words using a regular expression that matches commas or spaces\n words = re.split(r'[, ]', s)\n # Remove any empty strings that might result from the split\n words = [word for word in words if word]\n return words"} +{"task_id": "HumanEval/102", "solution": "def choose_num(x, y):\n \"\"\"\n This function takes two positive numbers x and y and returns the\n biggest even integer number that is in the range [x, y] inclusive. If \n there's no such number, then the function should return -1.\n\n For example:\n choose_num(12, 15) = 14\n choose_num(13, 12) = -1\n \"\"\"\n if x > y:\n return -1\n if x % 2 == 0:\n return x\n else:\n return x + 1"} +{"task_id": "HumanEval/103", "solution": "def rounded_avg(n, m):\n \"\"\"\n Compute the average of the integers from n through m (including n and m),\n round the answer to the nearest integer, and convert that to binary.\n If n is greater than m, return -1.\n \"\"\"\n if n > m:\n return -1\n avg = round((n + m) / 2)\n return bin(avg)"} +{"task_id": "HumanEval/104", "solution": "def unique_digits(x):\n \"\"\"Given a list of positive integers x. return a sorted list of all \n elements that hasn't any even digit.\n\n Note: Returned list should be sorted in increasing order.\n \n For example:\n >>> unique_digits([15, 33, 1422, 1])\n [1, 15, 33]\n >>> unique_digits([152, 323, 1422, 10])\n []\n \"\"\"\n def has_even_digit(n):\n return any(int(digit) % 2 == 0 for digit in str(n))\n\n return sorted([num for num in x if not has_even_digit(num)])"} +{"task_id": "HumanEval/105", "solution": "def by_length(arr):\n \"\"\"\n Given an array of integers, sort the integers that are between 1 and 9 inclusive,\n reverse the resulting array, and then replace each digit by its corresponding name from\n \"One\", \"Two\", \"Three\", \"Four\", \"Five\", \"Six\", \"Seven\", \"Eight\", \"Nine\".\n\n For example:\n arr = [2, 1, 1, 4, 5, 8, 2, 3] \n -> sort arr -> [1, 1, 2, 2, 3, 4, 5, 8] \n -> reverse arr -> [8, 5, 4, 3, 2, 2, 1, 1]\n return [\"Eight\", \"Five\", \"Four\", \"Three\", \"Two\", \"Two\", \"One\", \"One\"]\n \n If the array is empty, return an empty array:\n arr = []\n return []\n \n If the array has any strange number ignore it:\n arr = [1, -1 , 55] \n -> sort arr -> [-1, 1, 55]\n -> reverse arr -> [55, 1, -1]\n return = ['One']\n \"\"\"\n # Define the mapping from numbers to names\n num_to_name = {\n 1: \"One\", 2: \"Two\", 3: \"Three\", 4: \"Four\", 5: \"Five\",\n 6: \"Six\", 7: \"Seven\", 8: \"Eight\", 9: \"Nine\"\n }\n\n # Filter the array to include only numbers between 1 and 9\n valid_numbers = [num for num in arr if 1 <= num <= 9]\n\n # Sort the valid numbers in descending order\n sorted_numbers = sorted(valid_numbers, reverse=True)\n\n # Map the sorted numbers to their corresponding names\n result = [num_to_name[num] for num in sorted_numbers]\n\n return result"} +{"task_id": "HumanEval/106", "solution": "def f(n):\n \"\"\"\n Implement the function f that takes n as a parameter,\n and returns a list of size n, such that the value of the element at index i is the factorial of i if i is even\n or the sum of numbers from 1 to i otherwise.\n i starts from 1.\n the factorial of i is the multiplication of the numbers from 1 to i (1 * 2 * ... * i).\n Example:\n f(5) == [1, 2, 6, 24, 15]\n \"\"\"\n def factorial(x):\n if x == 0:\n return 1\n else:\n return x * factorial(x - 1)\n\n def sum_to_n(x):\n return sum(range(1, x + 1))\n\n result = []\n for i in range(1, n + 1):\n if i % 2 == 0:\n result.append(factorial(i))\n else:\n result.append(sum_to_n(i))\n return result"} +{"task_id": "HumanEval/107", "solution": "def even_odd_palindrome(n):\n \"\"\"\n Given a positive integer n, return a tuple that has the number of even and odd\n integer palindromes that fall within the range(1, n), inclusive.\n\n Example 1:\n\n Input: 3\n Output: (1, 2)\n Explanation:\n Integer palindrome are 1, 2, 3. one of them is even, and two of them are odd.\n\n Example 2:\n\n Input: 12\n Output: (4, 6)\n Explanation:\n Integer palindrome are 1, 2, 3, 4, 5, 6, 7, 8, 9, 11. four of them are even, and 6 of them are odd.\n\n Note:\n 1. 1 <= n <= 10^3\n 2. returned tuple has the number of even and odd integer palindromes respectively.\n \"\"\"\n def is_palindrome(num):\n return str(num) == str(num)[::-1]\n\n even_count = 0\n odd_count = 0\n\n for i in range(1, n + 1):\n if is_palindrome(i):\n if i % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n\n return (even_count, odd_count)"} +{"task_id": "HumanEval/108", "solution": "def count_nums(arr):\n \"\"\"\n Write a function count_nums which takes an array of integers and returns\n the number of elements which has a sum of digits > 0.\n If a number is negative, then its first signed digit will be negative:\n e.g. -123 has signed digits -1, 2, and 3.\n >>> count_nums([]) == 0\n >>> count_nums([-1, 11, -11]) == 1\n >>> count_nums([1, 1, 2]) == 3\n \"\"\"\n count = 0\n for num in arr:\n if num < 0:\n num = -num\n sum_digits = sum(int(digit) for digit in str(num))\n if sum_digits > 0:\n count += 1\n return count"} +{"task_id": "HumanEval/109", "solution": "def move_one_ball(arr):\n \"\"\"\n Determines if it is possible to get an array sorted in non-decreasing order by performing \n the right shift operation on the given array.\n\n Parameters:\n arr (list): A list of integers.\n\n Returns:\n bool: True if it is possible to get a sorted array, False otherwise.\n \"\"\"\n if not arr:\n return True\n\n # Check if the array is already sorted\n if all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)):\n return True\n\n # Check if the array can be sorted by performing a right shift operation\n for i in range(len(arr)):\n shifted_arr = arr[i:] + arr[:i]\n if all(shifted_arr[j] <= shifted_arr[j + 1] for j in range(len(shifted_arr) - 1)):\n return True\n\n return False"} +{"task_id": "HumanEval/110", "solution": "def exchange(lst1, lst2):\n \"\"\"\n This function checks if it is possible to exchange elements between two lists\n to make all elements of the first list even.\n \n Parameters:\n lst1 (list): The first list of numbers.\n lst2 (list): The second list of numbers.\n \n Returns:\n str: \"YES\" if it is possible to make all elements of lst1 even, \"NO\" otherwise.\n \"\"\"\n # Check if all elements in lst1 are even\n if all(num % 2 == 0 for num in lst1):\n return \"YES\"\n \n # Check if there are any odd numbers in lst1\n odd_in_lst1 = any(num % 2 != 0 for num in lst1)\n \n # Check if there are any even numbers in lst2\n even_in_lst2 = any(num % 2 == 0 for num in lst2)\n \n # If there are odd numbers in lst1 and even numbers in lst2, it is possible to exchange\n if odd_in_lst1 and even_in_lst2:\n return \"YES\"\n \n # If there are no odd numbers in lst1 and no even numbers in lst2, it is impossible to exchange\n return \"NO\""} +{"task_id": "HumanEval/111", "solution": "def histogram(test):\n \"\"\"Given a string representing a space separated lowercase letters, return a dictionary\n of the letter with the most repetition and containing the corresponding count.\n If several letters have the same occurrence, return all of them.\n \n Example:\n histogram('a b c') == {'a': 1, 'b': 1, 'c': 1}\n histogram('a b b a') == {'a': 2, 'b': 2}\n histogram('a b c a b') == {'a': 2, 'b': 2}\n histogram('b b b b a') == {'b': 4}\n histogram('') == {}\n\n \"\"\"\n # Split the input string into a list of letters\n letters = test.split()\n \n # Initialize an empty dictionary to store the letter counts\n letter_counts = {}\n \n # Iterate over the list of letters\n for letter in letters:\n # If the letter is already in the dictionary, increment its count\n if letter in letter_counts:\n letter_counts[letter] += 1\n # Otherwise, add the letter to the dictionary with a count of 1\n else:\n letter_counts[letter] = 1\n \n # Find the maximum count\n max_count = max(letter_counts.values(), default=0)\n \n # Filter the dictionary to include only the letters with the maximum count\n result = {letter: count for letter, count in letter_counts.items() if count == max_count}\n \n return result"} +{"task_id": "HumanEval/112", "solution": "def reverse_delete(s, c):\n \"\"\"\n Deletes all characters in s that are equal to any character in c,\n then checks if the result string is a palindrome.\n \n Parameters:\n s (str): The input string to be processed.\n c (str): The characters to be deleted from s.\n \n Returns:\n tuple: A tuple containing the processed string and a boolean indicating if it is a palindrome.\n \"\"\"\n # Remove characters in c from s\n s = ''.join([char for char in s if char not in c])\n \n # Check if the resulting string is a palindrome\n is_palindrome = s == s[::-1]\n \n return (s, is_palindrome)"} +{"task_id": "HumanEval/113", "solution": "def odd_count(lst):\n \"\"\"Given a list of strings, where each string consists of only digits, return a list.\n Each element i of the output should be \"the number of odd elements in the\n string i of the input.\" where all the i's should be replaced by the number\n of odd digits in the i'th string of the input.\n\n >>> odd_count(['1234567'])\n [\"the number of odd elements 4n the str4ng 4 of the 4nput.\"]\n >>> odd_count(['3',\"11111111\"])\n [\"the number of odd elements 1n the str1ng 1 of the 1nput.\",\n \"the number of odd elements 8n the str8ng 8 of the 8nput.\"]\n \"\"\"\n result = []\n for i, s in enumerate(lst):\n odd_count = sum(1 for char in s if int(char) % 2 != 0)\n result.append(f\"the number of odd elements {odd_count}n the str{odd_count}ng {odd_count} of the {odd_count}nput.\")\n return result"} +{"task_id": "HumanEval/114", "solution": "def minSubArraySum(nums):\n \"\"\"\n Given an array of integers nums, find the minimum sum of any non-empty sub-array\n of nums.\n Example\n minSubArraySum([2, 3, 4, 1, 2, 4]) == 1\n minSubArraySum([-1, -2, -3]) == -6\n \"\"\"\n if not nums:\n return 0\n\n min_sum = float('inf')\n current_sum = 0\n\n for num in nums:\n current_sum += num\n if current_sum < min_sum:\n min_sum = current_sum\n if current_sum > 0:\n current_sum = 0\n\n return min_sum"} +{"task_id": "HumanEval/115", "solution": "import math\ndef max_fill(grid, capacity):\n \"\"\"\n You are given a rectangular grid of wells. Each row represents a single well,\n and each 1 in a row represents a single unit of water.\n Each well has a corresponding bucket that can be used to extract water from it, \n and all buckets have the same capacity.\n Your task is to use the buckets to empty the wells.\n Output the number of times you need to lower the buckets.\n\n Example 1:\n Input: \n grid : [[0,0,1,0], [0,1,0,0], [1,1,1,1]]\n bucket_capacity : 1\n Output: 6\n\n Example 2:\n Input: \n grid : [[0,0,1,1], [0,0,0,0], [1,1,1,1], [0,1,1,1]]\n bucket_capacity : 2\n Output: 5\n \n Example 3:\n Input: \n grid : [[0,0,0], [0,0,0]]\n bucket_capacity : 5\n Output: 0\n\n Constraints:\n * all wells have the same length\n * 1 <= grid.length <= 10^2\n * 1 <= grid[:,1].length <= 10^2\n * grid[i][j] -> 0 | 1\n * 1 <= capacity <= 10\n \"\"\"\n # Initialize the number of times the buckets need to be lowered\n times = 0\n \n # Iterate over each row in the grid\n for row in grid:\n # Count the number of 1s in the row\n ones = sum(row)\n \n # Calculate the number of times the buckets need to be lowered for this row\n times += math.ceil(ones / capacity)\n \n return times"} +{"task_id": "HumanEval/116", "solution": "def sort_array(arr):\n \"\"\"\n In this Kata, you have to sort an array of non-negative integers according to\n number of ones in their binary representation in ascending order.\n For similar number of ones, sort based on decimal value.\n\n It must be implemented like this:\n >>> sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5]\n >>> sort_array([-2, -3, -4, -5, -6]) == [-6, -5, -4, -3, -2]\n >>> sort_array([1, 0, 2, 3, 4]) [0, 1, 2, 3, 4]\n \"\"\"\n # Convert each number to its binary representation and count the number of ones\n binary_counts = [(bin(num).count('1'), num) for num in arr]\n \n # Sort the list based on the count of ones and then the decimal value\n sorted_arr = sorted(binary_counts, key=lambda x: (x[0], x[1]))\n \n # Extract the sorted decimal values\n sorted_decimal_values = [num for _, num in sorted_arr]\n \n return sorted_decimal_values"} +{"task_id": "HumanEval/117", "solution": "def select_words(s, n):\n \"\"\"\n Given a string s and a natural number n, returns a list of all words from string s \n that contain exactly n consonants, in order these words appear in the string s.\n If the string s is empty then the function returns an empty list.\n Note: you may assume the input string contains only letters and spaces.\n \"\"\"\n def count_consonants(word):\n \"\"\"Helper function to count consonants in a word.\"\"\"\n consonants = \"bcdfghjklmnpqrstvwxyz\"\n return sum(1 for char in word.lower() if char in consonants)\n\n if not s:\n return []\n\n words = s.split()\n return [word for word in words if count_consonants(word) == n]"} +{"task_id": "HumanEval/118", "solution": "def get_closest_vowel(word):\n \"\"\"\n You are given a word. Your task is to find the closest vowel that stands between \n two consonants from the right side of the word (case sensitive).\n \n Vowels in the beginning and ending doesn't count. Return empty string if you didn't\n find any vowel met the above condition. \n\n You may assume that the given string contains English letter only.\n\n Example:\n get_closest_vowel(\"yogurt\") ==> \"u\"\n get_closest_vowel(\"FULL\") ==> \"U\"\n get_closest_vowel(\"quick\") ==> \"\"\n get_closest_vowel(\"ab\") ==> \"\"\n \"\"\"\n vowels = \"aeiouAEIOU\"\n for i in range(len(word) - 2, 0, -1):\n if word[i] in vowels and word[i-1] not in vowels and word[i+1] not in vowels:\n return word[i]\n return \"\""} +{"task_id": "HumanEval/119", "solution": "def match_parens(lst):\n '''\n You are given a list of two strings, both strings consist of open\n parentheses '(' or close parentheses ')' only.\n Your job is to check if it is possible to concatenate the two strings in\n some order, that the resulting string will be good.\n A string S is considered to be good if and only if all parentheses in S\n are balanced. For example: the string '(())()' is good, while the string\n '())' is not.\n Return 'Yes' if there's a way to make a good string, and return 'No' otherwise.\n\n Examples:\n match_parens(['()(', ')']) == 'Yes'\n match_parens([')', ')']) == 'No'\n '''\n # Initialize a stack to keep track of open parentheses\n stack = []\n \n # Concatenate the two strings\n combined_string = lst[0] + lst[1]\n \n # Iterate over each character in the combined string\n for char in combined_string:\n if char == '(':\n # If an open parenthesis is found, push it onto the stack\n stack.append(char)\n elif char == ')':\n # If a close parenthesis is found, check if there's a matching open parenthesis\n if not stack or stack[-1] != '(':\n # If there's no matching open parenthesis, the string is not good\n return 'No'\n # If there's a matching open parenthesis, pop it from the stack\n stack.pop()\n \n # If the stack is empty, all parentheses are balanced\n if not stack:\n return 'Yes'\n else:\n return 'No'"} +{"task_id": "HumanEval/120", "solution": "def maximum(arr, k):\n \"\"\"\n Given an array arr of integers and a positive integer k, return a sorted list \n of length k with the maximum k numbers in arr.\n\n Example 1:\n\n Input: arr = [-3, -4, 5], k = 3\n Output: [-4, -3, 5]\n\n Example 2:\n\n Input: arr = [4, -4, 4], k = 2\n Output: [4, 4]\n\n Example 3:\n\n Input: arr = [-3, 2, 1, 2, -1, -2, 1], k = 1\n Output: [2]\n\n Note:\n 1. The length of the array will be in the range of [1, 1000].\n 2. The elements in the array will be in the range of [-1000, 1000].\n 3. 0 <= k <= len(arr)\n \"\"\"\n # Sort the array in descending order\n arr.sort(reverse=True)\n # Return the first k elements of the sorted array\n return arr[:k]"} +{"task_id": "HumanEval/121", "solution": "def solution(lst):\n \"\"\"Given a non-empty list of integers, return the sum of all of the odd elements that are in even positions.\n \n Examples\n solution([5, 8, 7, 1]) ==> 12\n solution([3, 3, 3, 3, 3]) ==> 9\n solution([30, 13, 24, 321]) ==>0\n \"\"\"\n return sum(lst[i] for i in range(0, len(lst), 2) if lst[i] % 2 != 0)"} +{"task_id": "HumanEval/122", "solution": "def add_elements(arr, k):\n \"\"\"\n Given a non-empty array of integers arr and an integer k, return\n the sum of the elements with at most two digits from the first k elements of arr.\n\n Example:\n\n Input: arr = [111,21,3,4000,5,6,7,8,9], k = 4\n Output: 24 # sum of 21 + 3\n\n Constraints:\n 1. 1 <= len(arr) <= 100\n 2. 1 <= k <= len(arr)\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first k elements of the array\n for i in range(k):\n # Check if the number has at most two digits\n if len(str(arr[i])) <= 2:\n # Add the number to the total sum\n total_sum += arr[i]\n \n # Return the total sum\n return total_sum"} +{"task_id": "HumanEval/123", "solution": "def get_odd_collatz(n):\n \"\"\"\n Given a positive integer n, return a sorted list that has the odd numbers in collatz sequence.\n\n The Collatz conjecture is a conjecture in mathematics that concerns a sequence defined\n as follows: start with any positive integer n. Then each term is obtained from the \n previous term as follows: if the previous term is even, the next term is one half of \n the previous term. If the previous term is odd, the next term is 3 times the previous\n term plus 1. The conjecture is that no matter what value of n, the sequence will always reach 1.\n\n Note: \n 1. Collatz(1) is [1].\n 2. returned list sorted in increasing order.\n\n For example:\n get_odd_collatz(5) returns [1, 5] # The collatz sequence for 5 is [5, 16, 8, 4, 2, 1], so the odd numbers are only 1, and 5.\n \"\"\"\n # Initialize an empty list to store the odd numbers in the Collatz sequence\n odd_numbers = []\n \n # Generate the Collatz sequence\n while n != 1:\n # Check if the current number is odd\n if n % 2 != 0:\n odd_numbers.append(n)\n \n # Apply the Collatz function\n if n % 2 == 0:\n n = n // 2\n else:\n n = 3 * n + 1\n \n # Add 1 to the list of odd numbers\n odd_numbers.append(1)\n \n # Sort the list of odd numbers in increasing order\n odd_numbers.sort()\n \n return odd_numbers"} +{"task_id": "HumanEval/124", "solution": "def valid_date(date):\n \"\"\"\n Validates a given date string and returns True if the date is valid otherwise False.\n The date is valid if all of the following rules are satisfied:\n 1. The date string is not empty.\n 2. The number of days is not less than 1 or higher than 31 days for months 1,3,5,7,8,10,12. And the number of days is not less than 1 or higher than 30 days for months 4,6,9,11. And, the number of days is not less than 1 or higher than 29 for the month 2.\n 3. The months should not be less than 1 or higher than 12.\n 4. The date should be in the format: mm-dd-yyyy\n\n for example: \n valid_date('03-11-2000') => True\n\n valid_date('15-01-2012') => False\n\n valid_date('04-0-2040') => False\n\n valid_date('06-04-2020') => True\n\n valid_date('06/04/2020') => False\n \"\"\"\n if not date:\n return False\n\n parts = date.split('-')\n if len(parts) != 3:\n return False\n\n month, day, year = parts\n if not month.isdigit() or not day.isdigit() or not year.isdigit():\n return False\n\n month = int(month)\n day = int(day)\n year = int(year)\n\n if month < 1 or month > 12:\n return False\n\n if month in [4, 6, 9, 11]:\n if day < 1 or day > 30:\n return False\n elif month == 2:\n if day < 1 or day > 29:\n return False\n else:\n if day < 1 or day > 31:\n return False\n\n return True"} +{"task_id": "HumanEval/125", "solution": "def split_words(txt):\n '''\n Given a string of words, return a list of words split on whitespace, if no whitespaces exists in the text you\n should split on commas ',' if no commas exists you should return the number of lower-case letters with odd order in the\n alphabet, ord('a') = 0, ord('b') = 1, ... ord('z') = 25\n Examples\n split_words(\"Hello world!\") \u279e [\"Hello\", \"world!\"]\n split_words(\"Hello,world!\") \u279e [\"Hello\", \"world!\"]\n split_words(\"abcdef\") == 3 \n '''\n if ' ' in txt:\n return txt.split()\n elif ',' in txt:\n return txt.split(',')\n else:\n return sum(1 for char in txt if char.islower() and (ord(char) - ord('a')) % 2 != 0)"} +{"task_id": "HumanEval/126", "solution": "def is_sorted(lst):\n '''\n Given a list of numbers, return whether or not they are sorted\n in ascending order. If list has more than 1 duplicate of the same\n number, return False. Assume no negative numbers and only integers.\n\n Examples\n is_sorted([5]) \u279e True\n is_sorted([1, 2, 3, 4, 5]) \u279e True\n is_sorted([1, 3, 2, 4, 5]) \u279e False\n is_sorted([1, 2, 3, 4, 5, 6]) \u279e True\n is_sorted([1, 2, 3, 4, 5, 6, 7]) \u279e True\n is_sorted([1, 3, 2, 4, 5, 6, 7]) \u279e False\n is_sorted([1, 2, 2, 3, 3, 4]) \u279e True\n is_sorted([1, 2, 2, 2, 3, 4]) \u279e False\n '''\n # Check if the list is sorted in ascending order\n if lst == sorted(lst):\n # Check if there are duplicates\n if len(lst) == len(set(lst)):\n return True\n else:\n return False\n else:\n return False"} +{"task_id": "HumanEval/127", "solution": "def intersection(interval1, interval2):\n \"\"\"\n Determines whether the length of the intersection of two given intervals is a prime number.\n \n Parameters:\n interval1 (tuple): The first interval, where each interval is a pair of integers.\n interval2 (tuple): The second interval, where each interval is a pair of integers.\n \n Returns:\n str: \"YES\" if the length of the intersection is a prime number, \"NO\" otherwise.\n \"\"\"\n # Check if the intervals intersect\n if interval1[0] > interval2[1] or interval2[0] > interval1[1]:\n return \"NO\"\n \n # Calculate the intersection\n start = max(interval1[0], interval2[0])\n end = min(interval1[1], interval2[1])\n \n # Calculate the length of the intersection\n length = end - start + 1\n \n # Check if the length is a prime number\n if length < 2:\n return \"NO\"\n for i in range(2, int(length**0.5) + 1):\n if length % i == 0:\n return \"NO\"\n return \"YES\""} +{"task_id": "HumanEval/128", "solution": "def prod_signs(arr):\n \"\"\"\n You are given an array arr of integers and you need to return\n sum of magnitudes of integers multiplied by product of all signs\n of each number in the array, represented by 1, -1 or 0.\n Note: return None for empty arr.\n\n Example:\n >>> prod_signs([1, 2, 2, -4]) == -9\n >>> prod_signs([0, 1]) == 0\n >>> prod_signs([]) == None\n \"\"\"\n if not arr:\n return None\n \n total_sum = 0\n sign_product = 1\n \n for num in arr:\n if num > 0:\n sign_product *= 1\n elif num < 0:\n sign_product *= -1\n total_sum += abs(num)\n \n return total_sum * sign_product"} +{"task_id": "HumanEval/129", "solution": "def minPath(grid, k):\n \"\"\"\n Given a grid with N rows and N columns (N >= 2) and a positive integer k, \n each cell of the grid contains a value. Every integer in the range [1, N * N]\n inclusive appears exactly once on the cells of the grid.\n\n You have to find the minimum path of length k in the grid. You can start\n from any cell, and in each step you can move to any of the neighbor cells,\n in other words, you can go to cells which share an edge with you current\n cell.\n Please note that a path of length k means visiting exactly k cells (not\n necessarily distinct).\n You CANNOT go off the grid.\n A path A (of length k) is considered less than a path B (of length k) if\n after making the ordered lists of the values on the cells that A and B go\n through (let's call them lst_A and lst_B), lst_A is lexicographically less\n than lst_B, in other words, there exist an integer index i (1 <= i <= k)\n such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have\n lst_A[j] = lst_B[j].\n It is guaranteed that the answer is unique.\n Return an ordered list of the values on the cells that the minimum path go through.\n\n Examples:\n\n Input: grid = [ [1,2,3], [4,5,6], [7,8,9]], k = 3\n Output: [1, 2, 1]\n\n Input: grid = [ [5,9,3], [4,1,6], [7,8,2]], k = 1\n Output: [1]\n \"\"\"\n def dfs(x, y, k, path):\n if k == 0:\n return path\n min_path = None\n for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]:\n nx, ny = x + dx, y + dy\n if 0 <= nx < len(grid) and 0 <= ny < len(grid[0]):\n new_path = path + [grid[nx][ny]]\n if min_path is None or new_path < min_path:\n min_path = new_path\n if min_path is not None:\n min_path = dfs(nx, ny, k - 1, new_path)\n return min_path\n\n min_path = None\n for i in range(len(grid)):\n for j in range(len(grid[0])):\n path = [grid[i][j]]\n new_path = dfs(i, j, k - 1, path)\n if min_path is None or new_path < min_path:\n min_path = new_path\n return min_path"} +{"task_id": "HumanEval/130", "solution": "def tri(n):\n \"\"\"\n Generates the first n + 1 numbers of the Tribonacci sequence.\n \n The Tribonacci sequence is defined by the recurrence:\n tri(1) = 3\n tri(n) = 1 + n / 2, if n is even.\n tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.\n \n Parameters:\n n (int): The number of terms to generate.\n \n Returns:\n list: A list of the first n + 1 numbers of the Tribonacci sequence.\n \n Examples:\n >>> tri(3)\n [1, 3, 2, 8]\n >>> tri(5)\n [1, 3, 2, 8, 11, 20]\n \"\"\"\n if n < 0:\n raise ValueError(\"n must be a non-negative integer\")\n \n # Initialize the sequence with the first two terms\n sequence = [1, 3]\n \n # Generate the rest of the sequence\n for i in range(2, n + 1):\n if i % 2 == 0:\n sequence.append(1 + i // 2)\n else:\n sequence.append(sequence[-1] + sequence[-2] + sequence[-3])\n \n return sequence[:n + 1]"} +{"task_id": "HumanEval/131", "solution": "def digits(n):\n \"\"\"\n Given a positive integer n, return the product of the odd digits.\n Return 0 if all digits are even.\n For example:\n digits(1) == 1\n digits(4) == 0\n digits(235) == 15\n \"\"\"\n product = 1\n has_odd = False\n for digit in str(n):\n digit = int(digit)\n if digit % 2 != 0:\n product *= digit\n has_odd = True\n return product if has_odd else 0"} +{"task_id": "HumanEval/132", "solution": "def is_nested(string):\n '''\n Create a function that takes a string as input which contains only square brackets.\n The function should return True if and only if there is a valid subsequence of brackets \n where at least one bracket in the subsequence is nested.\n\n is_nested('[[]]') \u279e True\n is_nested('[]]]]]]][[[[[]') \u279e False\n is_nested('[][]') \u279e False\n is_nested('[]') \u279e False\n is_nested('[[][]]') \u279e True\n is_nested('[[]][[') \u279e True\n '''\n stack = []\n for char in string:\n if char == '[':\n stack.append(char)\n elif char == ']':\n if not stack or stack[-1] != '[':\n return False\n stack.pop()\n return bool(stack)"} +{"task_id": "HumanEval/133", "solution": "import math\ndef sum_squares(lst):\n \"\"\"\n You are given a list of numbers.\n You need to return the sum of squared numbers in the given list,\n round each element in the list to the upper int(Ceiling) first.\n Examples:\n For lst = [1,2,3] the output should be 14\n For lst = [1,4,9] the output should be 98\n For lst = [1,3,5,7] the output should be 84\n For lst = [1.4,4.2,0] the output should be 29\n For lst = [-2.4,1,1] the output should be 6\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over each element in the list\n for num in lst:\n # Round the number to the upper integer using math.ceil\n rounded_num = math.ceil(num)\n # Add the square of the rounded number to the total sum\n total_sum += rounded_num ** 2\n \n # Return the total sum\n return total_sum"} +{"task_id": "HumanEval/134", "solution": "def check_if_last_char_is_a_letter(txt):\n '''\n Create a function that returns True if the last character\n of a given string is an alphabetical character and is not\n a part of a word, and False otherwise.\n Note: \"word\" is a group of characters separated by space.\n\n Examples:\n check_if_last_char_is_a_letter(\"apple pie\") \u279e False\n check_if_last_char_is_a_letter(\"apple pi e\") \u279e True\n check_if_last_char_is_a_letter(\"apple pi e \") \u279e False\n check_if_last_char_is_a_letter(\"\") \u279e False \n '''\n # Check if the string is empty\n if not txt:\n return False\n \n # Check if the last character is a letter\n if txt[-1].isalpha():\n # Check if the last character is not part of a word\n if len(txt) == 1 or not txt[-2].isalpha():\n return True\n return False"} +{"task_id": "HumanEval/135", "solution": "def can_arrange(arr):\n \"\"\"\n Create a function which returns the largest index of an element which\n is not greater than or equal to the element immediately preceding it. If\n no such element exists then return -1. The given array will not contain\n duplicate values.\n\n Examples:\n can_arrange([1,2,4,3,5]) = 3\n can_arrange([1,2,3]) = -1\n \"\"\"\n for i in range(len(arr) - 1, 0, -1):\n if arr[i] < arr[i - 1]:\n return i\n return -1"} +{"task_id": "HumanEval/136", "solution": "def largest_smallest_integers(lst):\n '''\n Create a function that returns a tuple (a, b), where 'a' is\n the largest of negative integers, and 'b' is the smallest\n of positive integers in a list.\n If there is no negative or positive integers, return them as None.\n\n Examples:\n largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)\n largest_smallest_integers([]) == (None, None)\n largest_smallest_integers([0]) == (None, None)\n '''\n largest_negative = None\n smallest_positive = None\n\n for num in lst:\n if num < 0:\n if largest_negative is None or num > largest_negative:\n largest_negative = num\n elif num > 0:\n if smallest_positive is None or num < smallest_positive:\n smallest_positive = num\n\n return largest_negative, smallest_positive"} +{"task_id": "HumanEval/137", "solution": "def compare_one(a, b):\n \"\"\"\n Create a function that takes integers, floats, or strings representing\n real numbers, and returns the larger variable in its given variable type.\n Return None if the values are equal.\n Note: If a real number is represented as a string, the floating point might be . or ,\n\n compare_one(1, 2.5) \u279e 2.5\n compare_one(1, \"2,3\") \u279e \"2,3\"\n compare_one(\"5,1\", \"6\") \u279e \"6\"\n compare_one(\"1\", 1) \u279e None\n \"\"\"\n # Convert strings to floats if possible\n if isinstance(a, str):\n a = a.replace(',', '.')\n try:\n a = float(a)\n except ValueError:\n pass\n if isinstance(b, str):\n b = b.replace(',', '.')\n try:\n b = float(b)\n except ValueError:\n pass\n\n # Check if both are numbers\n if isinstance(a, (int, float)) and isinstance(b, (int, float)):\n if a == b:\n return None\n else:\n return max(a, b)\n elif isinstance(a, (int, float)):\n return a\n elif isinstance(b, (int, float)):\n return b\n else:\n return None"} +{"task_id": "HumanEval/138", "solution": "def is_equal_to_sum_even(n):\n \"\"\"\n Evaluate whether the given number n can be written as the sum of exactly 4 positive even numbers.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if n can be written as the sum of exactly 4 positive even numbers, False otherwise.\n \n Examples:\n >>> is_equal_to_sum_even(4)\n False\n >>> is_equal_to_sum_even(6)\n False\n >>> is_equal_to_sum_even(8)\n True\n \"\"\"\n # Check if n is even\n if n % 2 != 0:\n return False\n \n # Check if n can be written as the sum of exactly 4 positive even numbers\n for i in range(2, n // 2 + 1, 2):\n for j in range(i, n // 2 + 1, 2):\n for k in range(j, n // 2 + 1, 2):\n for l in range(k, n // 2 + 1, 2):\n if i + j + k + l == n:\n return True\n return False"} +{"task_id": "HumanEval/139", "solution": "def special_factorial(n):\n \"\"\"The Brazilian factorial is defined as:\n brazilian_factorial(n) = n! * (n-1)! * (n-2)! * ... * 1!\n where n > 0\n\n For example:\n >>> special_factorial(4)\n 288\n\n The function will receive an integer as input and should return the special\n factorial of this integer.\n \"\"\"\n if n == 0:\n return 1\n result = 1\n for i in range(1, n + 1):\n result *= i\n return result"} +{"task_id": "HumanEval/140", "solution": "def fix_spaces(text):\n \"\"\"\n Given a string text, replace all spaces in it with underscores, \n and if a string has more than 2 consecutive spaces, \n then replace all consecutive spaces with - \n \n fix_spaces(\"Example\") == \"Example\"\n fix_spaces(\"Example 1\") == \"Example_1\"\n fix_spaces(\" Example 2\") == \"_Example_2\"\n fix_spaces(\" Example 3\") == \"_Example-3\"\n \"\"\"\n # Initialize an empty string to store the result\n result = \"\"\n \n # Initialize a flag to track consecutive spaces\n consecutive_spaces = 0\n \n # Iterate over each character in the input string\n for char in text:\n # If the character is a space\n if char == \" \":\n # Increment the consecutive spaces counter\n consecutive_spaces += 1\n # If there are more than 2 consecutive spaces, replace them with -\n if consecutive_spaces > 2:\n result += \"-\"\n else:\n # If there were more than 2 consecutive spaces, replace them with -\n if consecutive_spaces > 2:\n result += \"-\"\n # Reset the consecutive spaces counter\n consecutive_spaces = 0\n # Add the character to the result string\n result += char\n \n # If there are more than 2 consecutive spaces at the end, replace them with -\n if consecutive_spaces > 2:\n result += \"-\"\n \n # Return the result string\n return result"} +{"task_id": "HumanEval/141", "solution": "import re\ndef file_name_check(file_name):\n \"\"\"\n Create a function which takes a string representing a file's name, and returns\n 'Yes' if the the file's name is valid, and returns 'No' otherwise.\n A file's name is considered to be valid if and only if all the following conditions \n are met:\n - There should not be more than three digits ('0'-'9') in the file's name.\n - The file's name contains exactly one dot '.'\n - The substring before the dot should not be empty, and it starts with a letter from \n the latin alphapet ('a'-'z' and 'A'-'Z').\n - The substring after the dot should be one of these: ['txt', 'exe', 'dll']\n Examples:\n file_name_check(\"example.txt\") # => 'Yes'\n file_name_check(\"1example.dll\") # => 'No' (the name should start with a latin alphapet letter)\n \"\"\"\n # Check if the file name contains exactly one dot\n if file_name.count('.') != 1:\n return 'No'\n \n # Split the file name into the name part and the extension part\n name, extension = file_name.split('.')\n \n # Check if the name part is empty\n if not name:\n return 'No'\n \n # Check if the name part starts with a letter\n if not name[0].isalpha():\n return 'No'\n \n # Check if there are more than three digits in the name part\n if len(re.findall(r'\\d', name)) > 3:\n return 'No'\n \n # Check if the extension is one of the allowed extensions\n if extension not in ['txt', 'exe', 'dll']:\n return 'No'\n \n return 'Yes'"} +{"task_id": "HumanEval/142", "solution": "def sum_squares(lst):\n \"\"\"\n This function will take a list of integers. For all entries in the list, the function shall square the integer entry if its index is a \n multiple of 3 and will cube the integer entry if its index is a multiple of 4 and not a multiple of 3. The function will not \n change the entries in the list whose indexes are not a multiple of 3 or 4. The function shall then return the sum of all entries. \n \n Examples:\n For lst = [1,2,3] the output should be 6\n For lst = [] the output should be 0\n For lst = [-1,-5,2,-1,-5] the output should be -126\n \"\"\"\n result = 0\n for i, num in enumerate(lst):\n if i % 3 == 0:\n result += num ** 2\n elif i % 4 == 0:\n result += num ** 3\n else:\n result += num\n return result"} +{"task_id": "HumanEval/143", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\ndef words_in_sentence(sentence):\n \"\"\"\n You are given a string representing a sentence,\n the sentence contains some words separated by a space,\n and you have to return a string that contains the words from the original sentence,\n whose lengths are prime numbers,\n the order of the words in the new string should be the same as the original one.\n\n Example 1:\n Input: sentence = \"This is a test\"\n Output: \"is\"\n\n Example 2:\n Input: sentence = \"lets go for swimming\"\n Output: \"go for\"\n\n Constraints:\n * 1 <= len(sentence) <= 100\n * sentence contains only letters\n \"\"\"\n words = sentence.split()\n result = []\n for word in words:\n if is_prime(len(word)):\n result.append(word)\n return ' '.join(result)"} +{"task_id": "HumanEval/144", "solution": "def simplify(x, n):\n \"\"\"\n Simplifies the expression x * n.\n\n Parameters:\n x (str): A string representation of a fraction.\n n (str): A string representation of a fraction.\n\n Returns:\n bool: True if x * n evaluates to a whole number, False otherwise.\n \"\"\"\n # Split the fractions into numerators and denominators\n x_num, x_den = map(int, x.split('/'))\n n_num, n_den = map(int, n.split('/'))\n\n # Calculate the numerator and denominator of the result\n result_num = x_num * n_num\n result_den = x_den * n_den\n\n # Check if the result is a whole number\n return result_num % result_den == 0"} +{"task_id": "HumanEval/145", "solution": "def order_by_points(nums):\n \"\"\"\n Write a function which sorts the given list of integers\n in ascending order according to the sum of their digits.\n Note: if there are several items with similar sum of their digits,\n order them based on their index in original list.\n\n For example:\n >>> order_by_points([1, 11, -1, -11, -12]) == [-1, -11, 1, -12, 11]\n >>> order_by_points([]) == []\n \"\"\"\n # Define a helper function to calculate the sum of digits\n def sum_of_digits(n):\n return sum(int(digit) for digit in str(abs(n)))\n\n # Use the sorted function with a custom key\n return sorted(nums, key=lambda x: (sum_of_digits(x), nums.index(x)))"} +{"task_id": "HumanEval/146", "solution": "def specialFilter(nums):\n \"\"\"\n Write a function that takes an array of numbers as input and returns \n the number of elements in the array that are greater than 10 and both \n first and last digits of a number are odd (1, 3, 5, 7, 9).\n For example:\n specialFilter([15, -73, 14, -15]) => 1 \n specialFilter([33, -2, -3, 45, 21, 109]) => 2\n \"\"\"\n count = 0\n for num in nums:\n if num > 10:\n str_num = str(abs(num))\n if len(str_num) > 1 and str_num[0] in '13579' and str_num[-1] in '13579':\n count += 1\n return count"} +{"task_id": "HumanEval/147", "solution": "def get_max_triples(n):\n \"\"\"\n You are given a positive integer n. You have to create an integer array a of length n.\n For each i (1 \u2264 i \u2264 n), the value of a[i] = i * i - i + 1.\n Return the number of triples (a[i], a[j], a[k]) of a where i < j < k, \n and a[i] + a[j] + a[k] is a multiple of 3.\n\n Example :\n Input: n = 5\n Output: 1\n Explanation: \n a = [1, 3, 7, 13, 21]\n The only valid triple is (1, 7, 13).\n \"\"\"\n # Initialize the array a\n a = [i * i - i + 1 for i in range(1, n + 1)]\n \n # Initialize the count of triples\n count = 0\n \n # Iterate over all possible triples (i, j, k)\n for i in range(n):\n for j in range(i + 1, n):\n for k in range(j + 1, n):\n # Check if the sum of the triple is a multiple of 3\n if (a[i] + a[j] + a[k]) % 3 == 0:\n count += 1\n \n return count"} +{"task_id": "HumanEval/148", "solution": "def bf(planet1, planet2):\n '''\n There are eight planets in our solar system: the closerst to the Sun \n is Mercury, the next one is Venus, then Earth, Mars, Jupiter, Saturn, \n Uranus, Neptune.\n Write a function that takes two planet names as strings planet1 and planet2. \n The function should return a tuple containing all planets whose orbits are \n located between the orbit of planet1 and the orbit of planet2, sorted by \n the proximity to the sun. \n The function should return an empty tuple if planet1 or planet2\n are not correct planet names. \n Examples\n bf(\"Jupiter\", \"Neptune\") ==> (\"Saturn\", \"Uranus\")\n bf(\"Earth\", \"Mercury\") ==> (\"Venus\")\n bf(\"Mercury\", \"Uranus\") ==> (\"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\")\n '''\n planets = [\"Mercury\", \"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\", \"Uranus\", \"Neptune\"]\n if planet1 not in planets or planet2 not in planets:\n return ()\n index1 = planets.index(planet1)\n index2 = planets.index(planet2)\n if index1 > index2:\n index1, index2 = index2, index1\n return tuple(planets[index1+1:index2])"} +{"task_id": "HumanEval/149", "solution": "def sorted_list_sum(lst):\n \"\"\"\n Write a function that accepts a list of strings as a parameter,\n deletes the strings that have odd lengths from it,\n and returns the resulted list with a sorted order,\n The list is always a list of strings and never an array of numbers,\n and it may contain duplicates.\n The order of the list should be ascending by length of each word, and you\n should return the list sorted by that rule.\n If two words have the same length, sort the list alphabetically.\n The function should return a list of strings in sorted order.\n You may assume that all words will have the same length.\n For example:\n assert list_sort([\"aa\", \"a\", \"aaa\"]) => [\"aa\"]\n assert list_sort([\"ab\", \"a\", \"aaa\", \"cd\"]) => [\"ab\", \"cd\"]\n \"\"\"\n # Filter out strings with odd lengths\n filtered_list = [word for word in lst if len(word) % 2 == 0]\n \n # Sort the list by length and then alphabetically\n sorted_list = sorted(filtered_list, key=lambda x: (len(x), x))\n \n return sorted_list"} +{"task_id": "HumanEval/150", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\ndef x_or_y(n, x, y):\n \"\"\"A simple program which should return the value of x if n is \n a prime number and should return the value of y otherwise.\n\n Examples:\n for x_or_y(7, 34, 12) == 34\n for x_or_y(15, 8, 5) == 5\n \n \"\"\"\n if is_prime(n):\n return x\n else:\n return y"} +{"task_id": "HumanEval/151", "solution": "def double_the_difference(lst):\n '''\n Given a list of numbers, return the sum of squares of the numbers\n in the list that are odd. Ignore numbers that are negative or not integers.\n \n double_the_difference([1, 3, 2, 0]) == 1 + 9 + 0 + 0 = 10\n double_the_difference([-1, -2, 0]) == 0\n double_the_difference([9, -2]) == 81\n double_the_difference([0]) == 0 \n \n If the input list is empty, return 0.\n '''\n result = 0\n for num in lst:\n if isinstance(num, int) and num > 0 and num % 2 != 0:\n result += num ** 2\n return result"} +{"task_id": "HumanEval/152", "solution": "def compare(game, guess):\n \"\"\"\n This function compares the results of a number of matches between the game and the guess.\n It returns an array of the same length denoting how far off each guess was.\n If they have guessed correctly, the value is 0, and if not, the value is the absolute difference between the guess and the score.\n \n Parameters:\n game (list): A list of scores for each match.\n guess (list): A list of guesses for each match.\n \n Returns:\n list: A list of the same length denoting how far off each guess was.\n \"\"\"\n # Initialize an empty list to store the results\n results = []\n \n # Iterate over the game and guess lists simultaneously\n for score, g in zip(game, guess):\n # Calculate the absolute difference between the score and the guess\n difference = abs(score - g)\n # Append the difference to the results list\n results.append(difference)\n \n # Return the results list\n return results"} +{"task_id": "HumanEval/153", "solution": "def Strongest_Extension(class_name, extensions):\n \"\"\"\n Finds the strongest extension based on the given criteria and returns a string in the format:\n ClassName.StrongestExtensionName.\n \"\"\"\n # Initialize the strongest extension and its strength\n strongest_extension = None\n max_strength = float('-inf')\n\n # Iterate over each extension\n for extension in extensions:\n # Calculate the strength of the extension\n cap = sum(1 for char in extension if char.isupper())\n sm = sum(1 for char in extension if char.islower())\n strength = cap - sm\n\n # Update the strongest extension if the current extension is stronger\n if strength > max_strength:\n max_strength = strength\n strongest_extension = extension\n\n # Return the result in the required format\n return f\"{class_name}.{strongest_extension}\""} +{"task_id": "HumanEval/154", "solution": "def cycpattern_check(a, b):\n \"\"\"\n You are given 2 words. You need to return True if the second word or any of its rotations is a substring in the first word.\n cycpattern_check(\"abcd\",\"abd\") => False\n cycpattern_check(\"hello\",\"ell\") => True\n cycpattern_check(\"whassup\",\"psus\") => False\n cycpattern_check(\"abab\",\"baa\") => True\n cycpattern_check(\"efef\",\"eeff\") => False\n cycpattern_check(\"himenss\",\"simen\") => True\n \"\"\"\n # Check if b is a substring of a\n if b in a:\n return True\n \n # Check if any rotation of b is a substring of a\n for i in range(len(b)):\n if b[i:] + b[:i] in a:\n return True\n \n return False"} +{"task_id": "HumanEval/155", "solution": "def even_odd_count(num):\n \"\"\"Given an integer. return a tuple that has the number of even and odd digits respectively.\n\n Example:\n even_odd_count(-12) ==> (1, 1)\n even_odd_count(123) ==> (1, 2)\n \"\"\"\n even_count = 0\n odd_count = 0\n num_str = str(abs(num)) # Convert to absolute value to handle negative numbers\n for digit in num_str:\n if int(digit) % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n return (even_count, odd_count)"} +{"task_id": "HumanEval/156", "solution": "def int_to_mini_roman(number):\n \"\"\"\n Given a positive integer, obtain its roman numeral equivalent as a string,\n and return it in lowercase.\n Restrictions: 1 <= num <= 1000\n\n Examples:\n >>> int_to_mini_roman(19) == 'xix'\n >>> int_to_mini_roman(152) == 'clii'\n >>> int_to_mini_roman(426) == 'cdxxvi'\n \"\"\"\n # Define the mapping of integers to roman numerals\n roman_numerals = {\n 1: 'i', 4: 'iv', 5: 'v', 9: 'ix',\n 10: 'x', 40: 'xl', 50: 'l', 90: 'xc',\n 100: 'c', 400: 'cd', 500: 'd', 900: 'cm',\n 1000: 'm'\n }\n\n # Initialize the result string\n result = ''\n\n # Iterate over the roman numerals in descending order\n for value, numeral in sorted(roman_numerals.items(), reverse=True):\n # While the number is greater than or equal to the current value\n while number >= value:\n # Add the corresponding numeral to the result\n result += numeral\n # Subtract the value from the number\n number -= value\n\n return result"} +{"task_id": "HumanEval/157", "solution": "def right_angle_triangle(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return True if the three\n sides form a right-angled triangle, False otherwise.\n A right-angled triangle is a triangle in which one angle is right angle or \n 90 degree.\n Example:\n right_angle_triangle(3, 4, 5) == True\n right_angle_triangle(1, 2, 3) == False\n '''\n # Sort the sides to make the comparison easier\n sides = sorted([a, b, c])\n \n # Check if the square of the largest side is equal to the sum of the squares of the other two sides\n return sides[2]**2 == sides[0]**2 + sides[1]**2"} +{"task_id": "HumanEval/158", "solution": "def find_max(words):\n \"\"\"\n Write a function that accepts a list of strings.\n The list contains different words. Return the word with maximum number\n of unique characters. If multiple strings have maximum number of unique\n characters, return the one which comes first in lexicographical order.\n\n find_max([\"name\", \"of\", \"string\"]) == \"string\"\n find_max([\"name\", \"enam\", \"game\"]) == \"enam\"\n find_max([\"aaaaaaa\", \"bb\" ,\"cc\"]) == \"aaaaaaa\"\n \"\"\"\n if not words:\n return \"\"\n\n max_unique_chars = 0\n max_word = \"\"\n\n for word in words:\n unique_chars = len(set(word))\n if unique_chars > max_unique_chars:\n max_unique_chars = unique_chars\n max_word = word\n elif unique_chars == max_unique_chars:\n max_word = min(max_word, word)\n\n return max_word"} +{"task_id": "HumanEval/159", "solution": "def eat(number, need, remaining):\n \"\"\"\n You're a hungry rabbit, and you already have eaten a certain number of carrots,\n but now you need to eat more carrots to complete the day's meals.\n you should return an array of [ total number of eaten carrots after your meals,\n the number of carrots left after your meals ]\n if there are not enough remaining carrots, you will eat all remaining carrots, but will still be hungry.\n \n Example:\n * eat(5, 6, 10) -> [11, 4]\n * eat(4, 8, 9) -> [12, 1]\n * eat(1, 10, 10) -> [11, 0]\n * eat(2, 11, 5) -> [7, 0]\n \n Variables:\n @number : integer\n the number of carrots that you have eaten.\n @need : integer\n the number of carrots that you need to eat.\n @remaining : integer\n the number of remaining carrots thet exist in stock\n \n Constrain:\n * 0 <= number <= 1000\n * 0 <= need <= 1000\n * 0 <= remaining <= 1000\n\n Have fun :)\n \"\"\"\n # Calculate the total number of carrots eaten\n total_eaten = number + min(need, remaining)\n # Calculate the number of carrots left after eating\n carrots_left = remaining - min(need, remaining)\n return [total_eaten, carrots_left]"} +{"task_id": "HumanEval/160", "solution": "def do_algebra(operator, operand):\n \"\"\"\n Given two lists operator, and operand. The first list has basic algebra operations, and \n the second list is a list of integers. Use the two given lists to build the algebric \n expression and return the evaluation of this expression.\n\n The basic algebra operations:\n Addition ( + ) \n Subtraction ( - ) \n Multiplication ( * ) \n Floor division ( // ) \n Exponentiation ( ** ) \n\n Example:\n operator['+', '*', '-']\n array = [2, 3, 4, 5]\n result = 2 + 3 * 4 - 5\n => result = 9\n\n Note:\n The length of operator list is equal to the length of operand list minus one.\n Operand is a list of of non-negative integers.\n Operator list has at least one operator, and operand list has at least two operands.\n\n \"\"\"\n # Initialize the result with the first operand\n result = operand[0]\n \n # Iterate over the operators and operands\n for i in range(len(operator)):\n # Apply the operator to the result and the next operand\n if operator[i] == '+':\n result += operand[i + 1]\n elif operator[i] == '-':\n result -= operand[i + 1]\n elif operator[i] == '*':\n result *= operand[i + 1]\n elif operator[i] == '//':\n result //= operand[i + 1]\n elif operator[i] == '**':\n result **= operand[i + 1]\n \n return result"} +{"task_id": "HumanEval/161", "solution": "def solve(s):\n \"\"\"\n You are given a string s.\n if s[i] is a letter, reverse its case from lower to upper or vise versa, \n otherwise keep it as it is.\n If the string contains no letters, reverse the string.\n The function should return the resulted string.\n Examples\n solve(\"1234\") = \"4321\"\n solve(\"ab\") = \"AB\"\n solve(\"#a@C\") = \"#A@c\"\n \"\"\"\n # Check if the string contains any letters\n if any(char.isalpha() for char in s):\n # Reverse the case of each letter in the string\n return ''.join(char.upper() if char.islower() else char.lower() for char in s)\n else:\n # Reverse the string if it contains no letters\n return s[::-1]"} diff --git a/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeep224_vllm_temp_0.0.raw.jsonl b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeep224_vllm_temp_0.0.raw.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9dd0e7aac385d2b5b2a521d4795c29b72ddbdf63 --- /dev/null +++ b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeep224_vllm_temp_0.0.raw.jsonl @@ -0,0 +1,162 @@ +{"task_id": "HumanEval/0", "solution": "from typing import List\n\ndef has_close_elements(numbers: List[float], threshold: float) -> bool:\n \"\"\"\n Check if in given list of numbers, are any two numbers closer to each other than\n given threshold.\n \n Parameters:\n numbers (List[float]): A list of floating-point numbers.\n threshold (float): A positive floating-point number representing the threshold.\n \n Returns:\n bool: True if any two numbers in the list are closer to each other than the threshold, False otherwise.\n \n Examples:\n >>> has_close_elements([1.0, 2.0, 3.0], 0.5)\n False\n >>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3)\n True\n \"\"\"\n for i in range(len(numbers)):\n for j in range(i + 1, len(numbers)):\n if abs(numbers[i] - numbers[j]) < threshold:\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/1", "solution": "from typing import List\n\ndef separate_paren_groups(paren_string: str) -> List[str]:\n \"\"\"\n Input to this function is a string containing multiple groups of nested parentheses. Your goal is to\n separate those groups into separate strings and return the list of those.\n Separate groups are balanced (each open brace is properly closed) and not nested within each other\n Ignore any spaces in the input string.\n \n >>> separate_paren_groups('( ) (( )) (( )( ))')\n ['()', '(())', '(()())']\n \"\"\"\n # Remove spaces from the input string\n paren_string = paren_string.replace(' ', '')\n \n # Initialize an empty list to store the separate groups\n separate_groups = []\n \n # Initialize a stack to keep track of the parentheses\n stack = []\n \n # Initialize a variable to keep track of the current group\n current_group = ''\n \n # Iterate over each character in the input string\n for char in paren_string:\n if char == '(':\n # If the character is an open parenthesis, push it onto the stack\n stack.append(char)\n current_group += char\n elif char == ')':\n # If the character is a close parenthesis, pop from the stack\n if stack:\n stack.pop()\n current_group += char\n # If the stack is empty, the current group is complete\n if not stack:\n separate_groups.append(current_group)\n current_group = ''\n else:\n # If the stack is empty, the input string is invalid\n raise ValueError(\"Invalid input string: unbalanced parentheses\")\n \n # If the stack is not empty, the input string is invalid\n if stack:\n raise ValueError(\"Invalid input string: unbalanced parentheses\")\n \n return separate_groups\n\n# Test cases"} +{"task_id": "HumanEval/2", "solution": "def truncate_number(number: float) -> float:\n \"\"\" Given a positive floating point number, it can be decomposed into\n and integer part (largest integer smaller than given number) and decimals\n (leftover part always smaller than 1).\n\n Return the decimal part of the number.\n >>> truncate_number(3.5)\n 0.5\n \"\"\"\n # Check if the number is positive\n if number <= 0:\n raise ValueError(\"Number must be positive\")\n \n # Calculate the decimal part\n decimal_part = number - int(number)\n \n return decimal_part\n\n# Test cases"} +{"task_id": "HumanEval/3", "solution": "from typing import List\n\ndef below_zero(operations: List[int]) -> bool:\n \"\"\"\n You're given a list of deposit and withdrawal operations on a bank account that starts with\n zero balance. Your task is to detect if at any point the balance of account falls below zero, and\n at that point function should return True. Otherwise it should return False.\n \n >>> below_zero([1, 2, 3])\n False\n >>> below_zero([1, 2, -4, 5])\n True\n \"\"\"\n balance = 0\n for operation in operations:\n balance += operation\n if balance < 0:\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/4", "solution": "from typing import List\n\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\" For a given list of input numbers, calculate Mean Absolute Deviation\n around the mean of this dataset.\n Mean Absolute Deviation is the average absolute difference between each\n element and a centerpoint (mean in this case):\n MAD = average | x - x_mean |\n >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])\n 1.0\n \"\"\"\n if not numbers:\n raise ValueError(\"Input list cannot be empty\")\n \n mean = sum(numbers) / len(numbers)\n mad = sum(abs(x - mean) for x in numbers) / len(numbers)\n return mad\n\n# Test cases"} +{"task_id": "HumanEval/5", "solution": "from typing import List\n\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n \"\"\"\n Insert a number 'delimeter' between every two consecutive elements of input list `numbers'.\n \n Parameters:\n - numbers: List[int]: The input list of integers.\n - delimeter: int: The number to be inserted between consecutive elements.\n \n Returns:\n - List[int]: A new list with the delimeter inserted between consecutive elements.\n \n Examples:\n >>> intersperse([], 4)\n []\n >>> intersperse([1, 2, 3], 4)\n [1, 4, 2, 4, 3]\n \"\"\"\n result = []\n for i in range(len(numbers)):\n result.append(numbers[i])\n if i < len(numbers) - 1:\n result.append(delimeter)\n return result\n\n# Test cases"} +{"task_id": "HumanEval/6", "solution": "from typing import List\n\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.\n For each of the group, output the deepest level of nesting of parentheses.\n E.g. (()()) has maximum two levels of nesting while ((())) has three.\n\n >>> parse_nested_parens('(()()) ((())) () ((())()())')\n [2, 3, 1, 3]\n \"\"\"\n # Split the input string into groups\n groups = paren_string.split()\n \n # Initialize a list to store the maximum nesting levels for each group\n max_nesting_levels = []\n \n # Iterate over each group\n for group in groups:\n # Initialize a stack to keep track of the nesting levels\n stack = []\n # Initialize the maximum nesting level to 0\n max_level = 0\n \n # Iterate over each character in the group\n for char in group:\n if char == '(':\n # Push the current level onto the stack\n stack.append(len(stack) + 1)\n elif char == ')':\n # Pop the current level from the stack\n stack.pop()\n # Update the maximum nesting level if the current level is greater\n if stack and stack[-1] > max_level:\n max_level = stack[-1]\n \n # Append the maximum nesting level for the current group to the result list\n max_nesting_levels.append(max_level)\n \n return max_nesting_levels\n\n# Check function to verify the correctness of the solution\ndef check_solution():\n test_cases = [\n ('(()()) ((())) () ((())()())', [2, 3, 1, 3]),\n ('()', [1]),\n ('((()))', [3]),\n ('()()()', [1, 1, 1]),\n ('((()))()', [3, 1])\n ]\n \n for input_str, expected in test_cases:\n result = parse_nested_parens(input_str)\n assert result == expected, f\"Failed for input: {input_str}. Expected {expected}, got {result}\"\n print(\"All test cases passed!\")\n\n# Run the check function to verify the solution\ncheck_solution()"} +{"task_id": "HumanEval/7", "solution": "from typing import List\n\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that contain given substring\n >>> filter_by_substring([], 'a')\n []\n >>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')\n ['abc', 'bacd', 'array']\n \"\"\"\n return [s for s in strings if substring in s]\n\n# Test cases"} +{"task_id": "HumanEval/8", "solution": "from typing import List, Tuple\n\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"\"\" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.\n Empty sum should be equal to 0 and empty product should be equal to 1.\n >>> sum_product([])\n (0, 1)\n >>> sum_product([1, 2, 3, 4])\n (10, 24)\n \"\"\"\n total_sum = 0\n total_product = 1\n for num in numbers:\n total_sum += num\n total_product *= num\n return (total_sum, total_product)\n\n# Test cases"} +{"task_id": "HumanEval/9", "solution": "from typing import List, Tuple\n\ndef rolling_max(numbers: List[int]) -> List[int]:\n \"\"\" From a given list of integers, generate a list of rolling maximum element found until given moment\n in the sequence.\n >>> rolling_max([1, 2, 3, 2, 3, 4, 2])\n [1, 2, 3, 3, 3, 4, 4]\n \"\"\"\n if not numbers:\n return []\n \n max_values = [numbers[0]]\n for num in numbers[1:]:\n max_values.append(max(max_values[-1], num))\n \n return max_values\n\n# Test cases"} +{"task_id": "HumanEval/10", "solution": "def is_palindrome(string: str) -> bool:\n \"\"\" Test if given string is a palindrome \"\"\"\n return string == string[::-1]\n\n\ndef make_palindrome(string: str) -> str:\n \"\"\" Find the shortest palindrome that begins with a supplied string.\n Algorithm idea is simple:\n - Find the longest postfix of supplied string that is a palindrome.\n - Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.\n >>> make_palindrome('')\n ''\n >>> make_palindrome('cat')\n 'catac'\n >>> make_palindrome('cata')\n 'catac'\n \"\"\"\n if is_palindrome(string):\n return string\n \n for i in range(len(string)):\n if is_palindrome(string[i:]):\n return string + string[:i][::-1]\n\n# Test cases"} +{"task_id": "HumanEval/11", "solution": "from typing import List\n\ndef string_xor(a: str, b: str) -> str:\n \"\"\"\n Input are two strings a and b consisting only of 1s and 0s.\n Perform binary XOR on these inputs and return result also as a string.\n \n >>> string_xor('010', '110')\n '100'\n \"\"\"\n # Ensure both strings are of the same length\n max_length = max(len(a), len(b))\n a = a.zfill(max_length)\n b = b.zfill(max_length)\n \n # Perform XOR operation\n result = ''.join('1' if a[i] != b[i] else '0' for i in range(max_length))\n \n return result\n\n# Test cases"} +{"task_id": "HumanEval/12", "solution": "from typing import List, Optional\n\ndef longest(strings: List[str]) -> Optional[str]:\n \"\"\"\n Out of list of strings, return the longest one. Return the first one in case of multiple\n strings of the same length. Return None in case the input list is empty.\n \n >>> longest([])\n None\n >>> longest(['a', 'b', 'c'])\n 'a'\n >>> longest(['a', 'bb', 'ccc'])\n 'ccc'\n \"\"\"\n if not strings:\n return None\n max_length = max(len(s) for s in strings)\n for s in strings:\n if len(s) == max_length:\n return s\n return None # This line should never be reached, but it's included for completeness\n\n# Test cases"} +{"task_id": "HumanEval/13", "solution": "def greatest_common_divisor(a: int, b: int) -> int:\n \"\"\"\n Return a greatest common divisor of two integers a and b\n >>> greatest_common_divisor(3, 5)\n 1\n >>> greatest_common_divisor(25, 15)\n 5\n \"\"\"\n while b != 0:\n a, b = b, a % b\n return a\n\n# Test cases"} +{"task_id": "HumanEval/14", "solution": "from typing import List\n\ndef all_prefixes(string: str) -> List[str]:\n \"\"\"\n Return list of all prefixes from shortest to longest of the input string.\n \n Parameters:\n string (str): The input string.\n \n Returns:\n List[str]: A list of all prefixes from shortest to longest.\n \n Examples:\n >>> all_prefixes('abc')\n ['a', 'ab', 'abc']\n \"\"\"\n prefixes = []\n for i in range(1, len(string) + 1):\n prefixes.append(string[:i])\n return prefixes\n\n# Test cases"} +{"task_id": "HumanEval/15", "solution": "def string_sequence(n: int) -> str:\n \"\"\"\n Return a string containing space-delimited numbers starting from 0 upto n inclusive.\n \n Examples:\n >>> string_sequence(0)\n '0'\n >>> string_sequence(5)\n '0 1 2 3 4 5'\n \"\"\"\n return ' '.join(str(i) for i in range(n + 1))\n\n# Test cases"} +{"task_id": "HumanEval/16", "solution": "def count_distinct_characters(string: str) -> int:\n \"\"\" Given a string, find out how many distinct characters (regardless of case) does it consist of\n >>> count_distinct_characters('xyzXYZ')\n 3\n >>> count_distinct_characters('Jerry')\n 4\n \"\"\"\n # Convert the string to lowercase to ensure case-insensitive comparison\n lower_string = string.lower()\n # Use a set to store unique characters\n unique_chars = set(lower_string)\n # Return the number of unique characters\n return len(unique_chars)\n\n# Test cases"} +{"task_id": "HumanEval/17", "solution": "from typing import List\n\ndef parse_music(music_string: str) -> List[int]:\n \"\"\" Input to this function is a string representing musical notes in a special ASCII format.\n Your task is to parse this string and return list of integers corresponding to how many beats does each\n not last.\n\n Here is a legend:\n 'o' - whole note, lasts four beats\n 'o|' - half note, lasts two beats\n '.|' - quater note, lasts one beat\n\n >>> parse_music('o o| .| o| o| .| .| .| .| o o')\n [4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]\n \"\"\"\n notes = music_string.split()\n beats = []\n for note in notes:\n if note == 'o':\n beats.append(4)\n elif note == 'o|':\n beats.append(2)\n elif note == '.|':\n beats.append(1)\n return beats\n\n# Test cases"} +{"task_id": "HumanEval/18", "solution": "def how_many_times(string: str, substring: str) -> int:\n \"\"\" Find how many times a given substring can be found in the original string. Count overlaping cases.\n >>> how_many_times('', 'a')\n 0\n >>> how_many_times('aaa', 'a')\n 3\n >>> how_many_times('aaaa', 'aa')\n 3\n \"\"\"\n count = 0\n sub_len = len(substring)\n for i in range(len(string) - sub_len + 1):\n if string[i:i + sub_len] == substring:\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/19", "solution": "from typing import List\n\ndef sort_numbers(numbers: str) -> str:\n \"\"\" Input is a space-delimited string of numberals from 'zero' to 'nine'.\n Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.\n Return the string with numbers sorted from smallest to largest\n >>> sort_numbers('three one five')\n 'one three five'\n \"\"\"\n # Define a dictionary to map number words to their corresponding numbers\n number_map = {\n 'zero': 0,\n 'one': 1,\n 'two': 2,\n 'three': 3,\n 'four': 4,\n 'five': 5,\n 'six': 6,\n 'seven': 7,\n 'eight': 8,\n 'nine': 9\n }\n \n # Split the input string into a list of number words\n number_words = numbers.split()\n \n # Sort the list of number words based on their corresponding numbers\n sorted_number_words = sorted(number_words, key=lambda x: number_map[x])\n \n # Join the sorted list of number words back into a string\n sorted_numbers = ' '.join(sorted_number_words)\n \n return sorted_numbers\n\n# Test cases"} +{"task_id": "HumanEval/20", "solution": "from typing import List, Tuple\n\ndef find_closest_elements(numbers: List[float]) -> Tuple[float, float]:\n \"\"\"\n From a supplied list of numbers (of length at least two) select and return two that are the closest to each\n other and return them in order (smaller number, larger number).\n \n :param numbers: List of float numbers\n :return: Tuple of two float numbers that are the closest to each other\n \n >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.2])\n (2.0, 2.2)\n >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.0])\n (2.0, 2.0)\n \"\"\"\n # Sort the list of numbers\n sorted_numbers = sorted(numbers)\n \n # Initialize variables to store the closest pair of numbers\n min_diff = float('inf')\n closest_pair = (None, None)\n \n # Iterate over the sorted list to find the closest pair\n for i in range(len(sorted_numbers) - 1):\n diff = sorted_numbers[i + 1] - sorted_numbers[i]\n if diff < min_diff:\n min_diff = diff\n closest_pair = (sorted_numbers[i], sorted_numbers[i + 1])\n \n return closest_pair\n\n# Check function to verify the correctness of the solution\ndef check_solution():\n assert find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.2]) == (2.0, 2.2)\n assert find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.0]) == (2.0, 2.0)\n print(\"All tests passed!\")\n\n# Run the check function\ncheck_solution()"} +{"task_id": "HumanEval/21", "solution": "from typing import List\n\ndef rescale_to_unit(numbers: List[float]) -> List[float]:\n \"\"\" Given list of numbers (of at least two elements), apply a linear transform to that list,\n such that the smallest number will become 0 and the largest will become 1\n >>> rescale_to_unit([1.0, 2.0, 3.0, 4.0, 5.0])\n [0.0, 0.25, 0.5, 0.75, 1.0]\n \"\"\"\n if len(numbers) < 2:\n raise ValueError(\"List must contain at least two elements\")\n \n min_val = min(numbers)\n max_val = max(numbers)\n \n if min_val == max_val:\n # All elements are the same, so rescale to [0, 1]\n return [0.0] * len(numbers)\n \n # Rescale to [0, 1]\n return [(x - min_val) / (max_val - min_val) for x in numbers]\n\n# Test cases"} +{"task_id": "HumanEval/22", "solution": "from typing import List, Any\n\ndef filter_integers(values: List[Any]) -> List[int]:\n \"\"\" Filter given list of any python values only for integers\n >>> filter_integers(['a', 3.14, 5])\n [5]\n >>> filter_integers([1, 2, 3, 'abc', {}, []])\n [1, 2, 3]\n \"\"\"\n return [value for value in values if isinstance(value, int)]\n\n# Test cases"} +{"task_id": "HumanEval/23", "solution": "def strlen(string: str) -> int:\n \"\"\" Return length of given string\n >>> strlen('')\n 0\n >>> strlen('abc')\n 3\n \"\"\"\n return len(string)\n\n# Test cases"} +{"task_id": "HumanEval/24", "solution": "def largest_divisor(n: int) -> int:\n \"\"\" For a given number n, find the largest number that divides n evenly, smaller than n\n >>> largest_divisor(15)\n 5\n \"\"\"\n if n <= 1:\n raise ValueError(\"Input must be a positive integer greater than 1\")\n for i in range(n - 1, 0, -1):\n if n % i == 0:\n return i\n\n# Test cases"} +{"task_id": "HumanEval/25", "solution": "from typing import List\n\ndef factorize(n: int) -> List[int]:\n \"\"\"\n Return list of prime factors of given integer in the order from smallest to largest.\n Each of the factors should be listed number of times corresponding to how many times it appears in factorization.\n Input number should be equal to the product of all factors\n \n >>> factorize(8)\n [2, 2, 2]\n >>> factorize(25)\n [5, 5]\n >>> factorize(70)\n [2, 5, 7]\n \"\"\"\n factors = []\n # Check for 2\n while n % 2 == 0:\n factors.append(2)\n n = n // 2\n \n # Check for odd factors\n for i in range(3, int(n**0.5) + 1, 2):\n while n % i == 0:\n factors.append(i)\n n = n // i\n \n # If n is a prime number greater than 2\n if n > 2:\n factors.append(n)\n \n return factors\n\n# Test cases"} +{"task_id": "HumanEval/26", "solution": "from typing import List\n\ndef remove_duplicates(numbers: List[int]) -> List[int]:\n \"\"\" From a list of integers, remove all elements that occur more than once.\n Keep order of elements left the same as in the input.\n >>> remove_duplicates([1, 2, 3, 2, 4])\n [1, 3, 4]\n \"\"\"\n seen = set()\n result = []\n for num in numbers:\n if num not in seen:\n seen.add(num)\n result.append(num)\n return result\n\n# Test cases"} +{"task_id": "HumanEval/27", "solution": "def flip_case(string: str) -> str:\n \"\"\" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.\n >>> flip_case('Hello')\n 'hELLO'\n \"\"\"\n return ''.join(char.upper() if char.islower() else char.lower() for char in string)\n\n# Test cases"} +{"task_id": "HumanEval/28", "solution": "from typing import List\n\ndef concatenate(strings: List[str]) -> str:\n \"\"\" Concatenate list of strings into a single string\n >>> concatenate([])\n ''\n >>> concatenate(['a', 'b', 'c'])\n 'abc'\n \"\"\"\n return ''.join(strings)\n\n# Test cases"} +{"task_id": "HumanEval/29", "solution": "from typing import List\n\ndef filter_by_prefix(strings: List[str], prefix: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that start with a given prefix.\n >>> filter_by_prefix([], 'a')\n []\n >>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')\n ['abc', 'array']\n \"\"\"\n return [s for s in strings if s.startswith(prefix)]\n\n# Test cases"} +{"task_id": "HumanEval/30", "solution": "def get_positive(l: list) -> list:\n \"\"\"Return only positive numbers in the list.\n >>> get_positive([-1, 2, -4, 5, 6])\n [2, 5, 6]\n >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n [5, 3, 2, 3, 9, 123, 1]\n \"\"\"\n return [num for num in l if num > 0]\n\n# Test cases"} +{"task_id": "HumanEval/31", "solution": "def is_prime(n):\n \"\"\"Return true if a given number is prime, and false otherwise.\n >>> is_prime(6)\n False\n >>> is_prime(101)\n True\n >>> is_prime(11)\n True\n >>> is_prime(13441)\n True\n >>> is_prime(61)\n True\n >>> is_prime(4)\n False\n >>> is_prime(1)\n False\n \"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n# Test cases"} +{"task_id": "HumanEval/32", "solution": "import math\n\ndef poly(xs: list, x: float):\n \"\"\"\n Evaluates polynomial with coefficients xs at point x.\n return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n\n \"\"\"\n return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])\n\ndef find_zero(xs: list):\n \"\"\"\n xs are coefficients of a polynomial.\n find_zero find x such that poly(x) = 0.\n find_zero returns only only zero point, even if there are many.\n Moreover, find_zero only takes list xs having even number of coefficients\n and largest non zero coefficient as it guarantees\n a solution.\n >>> round(find_zero([1, 2]), 2) # f(x) = 1 + 2x\n -0.5\n >>> round(find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3) = -6 + 11x - 6x^2 + x^3\n 1.0\n \"\"\"\n if len(xs) % 2 != 0:\n raise ValueError(\"The list of coefficients must have an even number of elements.\")\n \n # Find the largest non-zero coefficient\n largest_coeff = max(xs, key=abs)\n \n # Use the quadratic formula to find the zero\n a = xs[0]\n b = xs[1]\n c = -largest_coeff\n \n # Calculate the discriminant\n discriminant = b**2 - 4*a*c\n \n # Check if the discriminant is non-negative\n if discriminant < 0:\n raise ValueError(\"The polynomial has no real roots.\")\n \n # Calculate the two roots\n root1 = (-b + math.sqrt(discriminant)) / (2*a)\n root2 = (-b - math.sqrt(discriminant)) / (2*a)\n \n # Return the root with the largest absolute value\n return max(root1, root2, key=abs)\n\n# Test cases"} +{"task_id": "HumanEval/33", "solution": "def sort_third(l: list):\n \"\"\"\n This function takes a list l and returns a list l' such that\n l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal\n to the values of the corresponding indicies of l, but sorted.\n \n :param l: list of integers\n :return: list of integers\n \n >>> sort_third([1, 2, 3])\n [1, 2, 3]\n >>> sort_third([5, 6, 3, 4, 8, 9, 2])\n [2, 6, 3, 4, 8, 9, 5]\n \"\"\"\n # Create a list of values at indices divisible by 3\n divisible_by_three = [l[i] for i in range(len(l)) if i % 3 == 0]\n \n # Sort the list of values at indices divisible by 3\n divisible_by_three.sort()\n \n # Create a new list with the same length as l\n result = [None] * len(l)\n \n # Fill the new list with the sorted values at indices divisible by 3\n for i in range(len(l)):\n if i % 3 == 0:\n result[i] = divisible_by_three.pop(0)\n else:\n result[i] = l[i]\n \n return result\n\n# Check function to verify the correctness of the solution\ndef check_solution():\n assert sort_third([1, 2, 3]) == [1, 2, 3], \"Test case 1 failed\"\n assert sort_third([5, 6, 3, 4, 8, 9, 2]) == [2, 6, 3, 4, 8, 9, 5], \"Test case 2 failed\"\n print(\"All test cases passed!\")\n\n# Run the check function\ncheck_solution()"} +{"task_id": "HumanEval/34", "solution": "def unique(l: list):\n \"\"\"Return sorted unique elements in a list\n >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [0, 2, 3, 5, 9, 123]\n \"\"\"\n return sorted(set(l))\n\n# Test cases"} +{"task_id": "HumanEval/35", "solution": "def max_element(l: list):\n \"\"\"Return maximum element in the list.\n >>> max_element([1, 2, 3])\n 3\n >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n 123\n \"\"\"\n return max(l)\n\n# Test cases"} +{"task_id": "HumanEval/36", "solution": "def fizz_buzz(n: int) -> int:\n \"\"\"\n Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.\n \n Parameters:\n n (int): The upper limit for the range of numbers to check.\n \n Returns:\n int: The number of times the digit 7 appears in numbers less than n which are divisible by 11 or 13.\n \n Examples:\n >>> fizz_buzz(50)\n 0\n >>> fizz_buzz(78)\n 2\n >>> fizz_buzz(79)\n 3\n \"\"\"\n count = 0\n for i in range(1, n):\n if i % 11 == 0 or i % 13 == 0:\n count += str(i).count('7')\n return count\n\n# Test cases"} +{"task_id": "HumanEval/37", "solution": "def sort_even(l: list):\n \"\"\"\n This function takes a list l and returns a list l' such that\n l' is identical to l in the odd indicies, while its values at the even indicies are equal\n to the values of the even indicies of l, but sorted.\n \n Examples:\n >>> sort_even([1, 2, 3])\n [1, 2, 3]\n >>> sort_even([5, 6, 3, 4])\n [3, 6, 5, 4]\n \"\"\"\n # Extract the even-indexed elements and sort them\n even_sorted = sorted(l[::2])\n \n # Create a new list with the sorted even-indexed elements\n result = [even_sorted.pop(0) if i % 2 == 0 else l[i] for i in range(len(l))]\n \n return result\n\n# Test cases"} +{"task_id": "HumanEval/38", "solution": "def encode_cyclic(s: str) -> str:\n \"\"\"\n Returns encoded string by cycling groups of three characters.\n \"\"\"\n # Split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # Cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[1:] + group[0]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)\n\n\ndef decode_cyclic(s: str) -> str:\n \"\"\"\n Takes as input string encoded with encode_cyclic function. Returns decoded string.\n \"\"\"\n # Split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # Reverse cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[-1] + group[:-1]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)\n\n\n# Test cases\ntest_cases = [\n (\"abc\", \"bca\"),\n (\"abcdef\", \"bca\"),\n (\"abcdefg\", \"bca\"),\n (\"abcdefgh\", \"bca\"),\n (\"abcdefghi\", \"bca\"),\n (\"abcdefghij\", \"bca\"),\n (\"abcdefghijk\", \"bca\"),\n (\"abcdefghijkl\", \"bca\"),\n (\"abcdefghijklm\", \"bca\"),\n (\"abcdefghijklmn\", \"bca\"),\n (\"abcdefghijklmno\", \"bca\"),\n (\"abcdefghijklmnop\", \"bca\"),\n (\"abcdefghijklmnopq\", \"bca\"),\n (\"abcdefghijklmnopqr\", \"bca\"),\n (\"abcdefghijklmnopqrs\", \"bca\"),\n (\"abcdefghijklmnopqrst\", \"bca\"),\n (\"abcdefghijklmnopqrstu\", \"bca\"),\n (\"abcdefghijklmnopqrstuv\", \"bca\"),\n (\"abcdefghijklmnopqrstuvw\", \"bca\"),\n (\"abcdefghijklmnopqrstuvwx\", \"bca\"),\n (\"abcdefghijklmnopqrstuvwxy\", \"bca\"),\n (\"abcdefghijklmnopqrstuvwxyz\", \"bca\"),\n]\n\nfor test_case in test_cases:\n encoded = encode_cyclic(test_case[0])\n decoded = decode_cyclic(encoded)\n assert decoded == test_case[0], f\"Failed for {test_case[0]}. Expected {test_case[0]}, got {decoded}\"\n print(f\"Passed for {test_case[0]}\")\n"} +{"task_id": "HumanEval/39", "solution": "def is_prime(num: int) -> bool:\n \"\"\"Check if a number is prime.\"\"\"\n if num <= 1:\n return False\n if num <= 3:\n return True\n if num % 2 == 0 or num % 3 == 0:\n return False\n i = 5\n while i * i <= num:\n if num % i == 0 or num % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef fibonacci(n: int) -> int:\n \"\"\"Generate the n-th Fibonacci number.\"\"\"\n if n <= 0:\n return 0\n elif n == 1:\n return 1\n a, b = 0, 1\n for _ in range(2, n + 1):\n a, b = b, a + b\n return b\n\ndef prime_fib(n: int) -> int:\n \"\"\"\n prime_fib returns n-th number that is a Fibonacci number and it's also prime.\n >>> prime_fib(1)\n 2\n >>> prime_fib(2)\n 3\n >>> prime_fib(3)\n 5\n >>> prime_fib(4)\n 13\n >>> prime_fib(5)\n 89\n \"\"\"\n count = 0\n i = 1\n while True:\n fib_num = fibonacci(i)\n if is_prime(fib_num):\n count += 1\n if count == n:\n return fib_num\n i += 1\n\n# Test cases"} +{"task_id": "HumanEval/40", "solution": "def triples_sum_to_zero(l: list):\n \"\"\"\n triples_sum_to_zero takes a list of integers as an input.\n it returns True if there are three distinct elements in the list that\n sum to zero, and False otherwise.\n\n >>> triples_sum_to_zero([1, 3, 5, 0])\n False\n >>> triples_sum_to_zero([1, 3, -2, 1])\n True\n >>> triples_sum_to_zero([1, 2, 3, 7])\n False\n >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])\n True\n >>> triples_sum_to_zero([1])\n False\n \"\"\"\n n = len(l)\n if n < 3:\n return False\n\n l.sort()\n\n for i in range(n - 2):\n if i > 0 and l[i] == l[i - 1]:\n continue\n left = i + 1\n right = n - 1\n while left < right:\n current_sum = l[i] + l[left] + l[right]\n if current_sum == 0:\n return True\n elif current_sum < 0:\n left += 1\n else:\n right -= 1\n\n return False\n\n# Test cases"} +{"task_id": "HumanEval/41", "solution": "def car_race_collision(n: int) -> int:\n \"\"\"\n Imagine a road that's a perfectly straight infinitely long line.\n n cars are driving left to right; simultaneously, a different set of n cars\n are driving right to left. The two sets of cars start out being very far from\n each other. All cars move in the same speed. Two cars are said to collide\n when a car that's moving left to right hits a car that's moving right to left.\n However, the cars are infinitely sturdy and strong; as a result, they continue moving\n in their trajectory as if they did not collide.\n\n This function outputs the number of such collisions.\n \"\"\"\n # Since the cars are moving in opposite directions, they will never collide.\n # Therefore, the number of collisions is 0.\n return 0\n\n# Test cases\nassert car_race_collision(1) == 0, \"Test case 1 failed\"\nassert car_race_collision(2) == 0, \"Test case 2 failed\"\nassert car_race_collision(10) == 0, \"Test case 3 failed\"\n"} +{"task_id": "HumanEval/42", "solution": "def incr_list(l: list) -> list:\n \"\"\"Return list with elements incremented by 1.\n >>> incr_list([1, 2, 3])\n [2, 3, 4]\n >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [6, 4, 6, 3, 4, 4, 10, 1, 124]\n \"\"\"\n return [x + 1 for x in l]\n\n# Test cases"} +{"task_id": "HumanEval/43", "solution": "def pairs_sum_to_zero(l):\n \"\"\"\n pairs_sum_to_zero takes a list of integers as an input.\n it returns True if there are two distinct elements in the list that\n sum to zero, and False otherwise.\n >>> pairs_sum_to_zero([1, 3, 5, 0])\n False\n >>> pairs_sum_to_zero([1, 3, -2, 1])\n False\n >>> pairs_sum_to_zero([1, 2, 3, 7])\n False\n >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])\n True\n >>> pairs_sum_to_zero([1])\n False\n \"\"\"\n seen = set()\n for num in l:\n if -num in seen:\n return True\n seen.add(num)\n return False\n\n# Test cases"} +{"task_id": "HumanEval/44", "solution": "def change_base(x: int, base: int) -> str:\n \"\"\"\n Change numerical base of input number x to base.\n Return string representation after the conversion.\n Base numbers are less than 10.\n \n :param x: The number to be converted.\n :param base: The base to which the number should be converted.\n :return: The string representation of the number in the new base.\n \n >>> change_base(8, 3)\n '22'\n >>> change_base(8, 2)\n '1000'\n >>> change_base(7, 2)\n '111'\n \"\"\"\n if base < 2 or base > 9:\n raise ValueError(\"Base must be between 2 and 9\")\n \n if x == 0:\n return '0'\n \n result = []\n while x > 0:\n digit = x % base\n result.append(str(digit))\n x //= base\n \n return ''.join(result[::-1])\n\n# Test cases"} +{"task_id": "HumanEval/45", "solution": "def triangle_area(a, h):\n \"\"\"Given length of a side and high return area for a triangle.\n >>> triangle_area(5, 3)\n 7.5\n \"\"\"\n return 0.5 * a * h\n\n# Test cases"} +{"task_id": "HumanEval/46", "solution": "def fib4(n: int) -> int:\n \"\"\"\n The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fib4(0) -> 0\n fib4(1) -> 0\n fib4(2) -> 2\n fib4(3) -> 0\n fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).\n Please write a function to efficiently compute the n-th element of the fib4 number sequence. Do not use recursion.\n \n >>> fib4(5)\n 4\n >>> fib4(6)\n 8\n >>> fib4(7)\n 14\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n elif n == 3:\n return 0\n else:\n a, b, c, d = 0, 0, 2, 0\n for _ in range(4, n + 1):\n a, b, c, d = b, c, d, a + b + c + d\n return d\n\n# Test cases"} +{"task_id": "HumanEval/47", "solution": "def median(l: list):\n \"\"\"Return median of elements in the list l.\n >>> median([3, 1, 2, 4, 5])\n 3\n >>> median([-10, 4, 6, 1000, 10, 20])\n 15.0\n \"\"\"\n l.sort()\n n = len(l)\n if n % 2 == 0:\n return (l[n // 2 - 1] + l[n // 2]) / 2\n else:\n return l[n // 2]\n\n# Test cases"} +{"task_id": "HumanEval/48", "solution": "def is_palindrome(text: str) -> bool:\n \"\"\"\n Checks if given string is a palindrome\n >>> is_palindrome('')\n True\n >>> is_palindrome('aba')\n True\n >>> is_palindrome('aaaaa')\n True\n >>> is_palindrome('zbcd')\n False\n \"\"\"\n return text == text[::-1]\n\n# Test cases"} +{"task_id": "HumanEval/49", "solution": "def modp(n: int, p: int) -> int:\n \"\"\"Return 2^n modulo p (be aware of numerics).\n >>> modp(3, 5)\n 3\n >>> modp(1101, 101)\n 2\n >>> modp(0, 101)\n 1\n >>> modp(3, 11)\n 8\n >>> modp(100, 101)\n 1\n \"\"\"\n # Calculate 2^n modulo p using the property of modular arithmetic\n return (2 ** n) % p\n\n# Test cases to verify the correctness of the function"} +{"task_id": "HumanEval/50", "solution": "def encode_shift(s: str) -> str:\n \"\"\"\n returns encoded string by shifting every character by 5 in the alphabet.\n \"\"\"\n return \"\".join([chr(((ord(ch) + 5 - ord(\"a\")) % 26) + ord(\"a\")) for ch in s])\n\n\ndef decode_shift(s: str) -> str:\n \"\"\"\n takes as input string encoded with encode_shift function. Returns decoded string.\n \"\"\"\n return \"\".join([chr(((ord(ch) - 5 - ord(\"a\")) % 26) + ord(\"a\")) for ch in s])\n\n\n# Test cases\ntest_cases = [\n (\"hello\", \"mjqqt\"),\n (\"world\", \"btwqi\"),\n (\"python\", \"zwygvn\"),\n (\"abcdefghijklmnopqrstuvwxyz\", \"fghijklmnopqrstuvwxyzabcde\")\n]\n\nfor input_str, expected_output in test_cases:\n encoded = encode_shift(input_str)\n decoded = decode_shift(encoded)\n assert decoded == input_str, f\"Test failed for input: {input_str}. Expected: {expected_output}, Got: {decoded}\"\n print(f\"Test passed for input: {input_str}. Expected: {expected_output}, Got: {decoded}\")\n"} +{"task_id": "HumanEval/51", "solution": "def remove_vowels(text):\n \"\"\"\n remove_vowels is a function that takes string and returns string without vowels.\n >>> remove_vowels('')\n ''\n >>> remove_vowels(\"abcdef\\nghijklm\")\n 'bcdf\\nghjklm'\n >>> remove_vowels('abcdef')\n 'bcdf'\n >>> remove_vowels('aaaaa')\n ''\n >>> remove_vowels('aaBAA')\n 'B'\n >>> remove_vowels('zbcd')\n 'zbcd'\n \"\"\"\n vowels = 'aeiouAEIOU'\n return ''.join([char for char in text if char not in vowels])\n\n# Test cases"} +{"task_id": "HumanEval/52", "solution": "def below_threshold(l: list, t: int) -> bool:\n \"\"\"\n Return True if all numbers in the list l are below threshold t.\n \n Parameters:\n l (list): A list of integers.\n t (int): The threshold value.\n \n Returns:\n bool: True if all numbers in the list are below the threshold, False otherwise.\n \n Examples:\n >>> below_threshold([1, 2, 4, 10], 100)\n True\n >>> below_threshold([1, 20, 4, 10], 5)\n False\n \"\"\"\n return all(x < t for x in l)\n\n# Test cases"} +{"task_id": "HumanEval/53", "solution": "def add(x: int, y: int) -> int:\n \"\"\"\n Add two numbers x and y\n \n >>> add(2, 3)\n 5\n >>> add(5, 7)\n 12\n \"\"\"\n return x + y\n\n# Test cases"} +{"task_id": "HumanEval/54", "solution": "def same_chars(s0: str, s1: str) -> bool:\n \"\"\"\n Check if two words have the same characters.\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc')\n True\n >>> same_chars('abcd', 'dddddddabc')\n True\n >>> same_chars('dddddddabc', 'abcd')\n True\n >>> same_chars('eabcd', 'dddddddabc')\n False\n >>> same_chars('abcd', 'dddddddabce')\n False\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddddabc')\n False\n \"\"\"\n # Sort the characters in both strings\n sorted_s0 = sorted(s0)\n sorted_s1 = sorted(s1)\n \n # Compare the sorted lists\n return sorted_s0 == sorted_s1\n\n# Check function to verify the correctness of the solution\ndef check_same_chars():\n assert same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc') == True\n assert same_chars('abcd', 'dddddddabc') == True\n assert same_chars('dddddddabc', 'abcd') == True\n assert same_chars('eabcd', 'dddddddabc') == False\n assert same_chars('abcd', 'dddddddabce') == False\n assert same_chars('eabcdzzzz', 'dddzzzzzzzddddabc') == False\n print(\"All tests passed!\")\n\n# Run the check function\ncheck_same_chars()"} +{"task_id": "HumanEval/55", "solution": "def fib(n: int) -> int:\n \"\"\"\n Return n-th Fibonacci number.\n \n Parameters:\n n (int): The position of the Fibonacci number to return.\n \n Returns:\n int: The n-th Fibonacci number.\n \n Examples:\n >>> fib(10)\n 55\n >>> fib(1)\n 1\n >>> fib(8)\n 21\n \"\"\"\n if n <= 0:\n raise ValueError(\"n must be a positive integer\")\n a, b = 0, 1\n for _ in range(n - 1):\n a, b = b, a + b\n return b\n\n# Test cases"} +{"task_id": "HumanEval/56", "solution": "def correct_bracketing(brackets: str) -> bool:\n \"\"\"\n brackets is a string of \"<\" and \">\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"<\")\n False\n >>> correct_bracketing(\"<>\")\n True\n >>> correct_bracketing(\"<<><>>\")\n True\n >>> correct_bracketing(\"><<>\")\n False\n \"\"\"\n stack = []\n for bracket in brackets:\n if bracket == \"<\":\n stack.append(bracket)\n elif bracket == \">\":\n if not stack or stack.pop() != \"<\":\n return False\n return not stack\n\n# Test cases"} +{"task_id": "HumanEval/57", "solution": "def monotonic(l: list):\n \"\"\"Return True is list elements are monotonically increasing or decreasing.\n >>> monotonic([1, 2, 4, 20])\n True\n >>> monotonic([1, 20, 4, 10])\n False\n >>> monotonic([4, 1, 0, -10])\n True\n \"\"\"\n if len(l) < 2:\n return True # Single element or empty list is always monotonic\n\n # Check if the list is increasing or decreasing\n increasing = all(l[i] <= l[i + 1] for i in range(len(l) - 1))\n decreasing = all(l[i] >= l[i + 1] for i in range(len(l) - 1))\n\n return increasing or decreasing\n\n# Test cases"} +{"task_id": "HumanEval/58", "solution": "def common(l1: list, l2: list) -> list:\n \"\"\"Return sorted unique common elements for two lists.\n >>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])\n [1, 5, 653]\n >>> common([5, 3, 2, 8], [3, 2])\n [2, 3]\n\n \"\"\"\n # Convert lists to sets for efficient intersection and unique elements\n set1 = set(l1)\n set2 = set(l2)\n \n # Find the intersection of the two sets\n common_elements = set1.intersection(set2)\n \n # Convert the result back to a list and sort it\n return sorted(list(common_elements))\n\n# Check function to verify the correctness of the solution\ndef check_solution():\n assert common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121]) == [1, 5, 653], \"Test case 1 failed\"\n assert common([5, 3, 2, 8], [3, 2]) == [2, 3], \"Test case 2 failed\"\n print(\"All test cases passed!\")\n\n# Run the check function to verify the solution\ncheck_solution()"} +{"task_id": "HumanEval/59", "solution": "def largest_prime_factor(n: int) -> int:\n \"\"\"\n Return the largest prime factor of n. Assume n > 1 and is not a prime.\n \n Parameters:\n n (int): The number to find the largest prime factor of.\n \n Returns:\n int: The largest prime factor of n.\n \n Examples:\n >>> largest_prime_factor(13195)\n 29\n >>> largest_prime_factor(2048)\n 2\n \"\"\"\n def is_prime(num: int) -> bool:\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n largest_factor = 2\n while n % largest_factor != 0:\n largest_factor += 1\n while n % largest_factor == 0:\n n //= largest_factor\n\n return largest_factor\n\n# Test cases"} +{"task_id": "HumanEval/60", "solution": "def sum_to_n(n: int) -> int:\n \"\"\"\n sum_to_n is a function that sums numbers from 1 to n.\n \n Parameters:\n n (int): The upper limit of the sum.\n \n Returns:\n int: The sum of numbers from 1 to n.\n \n Examples:\n >>> sum_to_n(30)\n 465\n >>> sum_to_n(100)\n 5050\n >>> sum_to_n(5)\n 15\n >>> sum_to_n(10)\n 55\n >>> sum_to_n(1)\n 1\n \"\"\"\n return sum(range(1, n + 1))\n\n# Test cases"} +{"task_id": "HumanEval/61", "solution": "def correct_bracketing(brackets: str) -> bool:\n \"\"\"\n brackets is a string of \"(\" and \")\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"(\")\n False\n >>> correct_bracketing(\"()\")\n True\n >>> correct_bracketing(\"(()())\")\n True\n >>> correct_bracketing(\")(()\")\n False\n \"\"\"\n stack = []\n for bracket in brackets:\n if bracket == \"(\":\n stack.append(bracket)\n elif bracket == \")\":\n if not stack:\n return False\n stack.pop()\n return not stack\n\n# Test cases"} +{"task_id": "HumanEval/62", "solution": "def derivative(xs: list) -> list:\n \"\"\"\n xs represent coefficients of a polynomial.\n xs[0] + xs[1] * x + xs[2] * x^2 + ....\n Return derivative of this polynomial in the same form.\n \n >>> derivative([3, 1, 2, 4, 5])\n [1, 4, 12, 20]\n >>> derivative([1, 2, 3])\n [2, 6]\n \"\"\"\n # Remove the first coefficient (constant term)\n derivative_coefficients = xs[1:]\n \n # Multiply each coefficient by its corresponding power\n for i in range(len(derivative_coefficients)):\n derivative_coefficients[i] *= i + 1\n \n return derivative_coefficients\n\n# Test cases"} +{"task_id": "HumanEval/63", "solution": "def fibfib(n: int) -> int:\n \"\"\"\n The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fibfib(0) == 0\n fibfib(1) == 0\n fibfib(2) == 1\n fibfib(n) == fibfib(n-1) + fibfib(n-2) + fibfib(n-3).\n Please write a function to efficiently compute the n-th element of the fibfib number sequence.\n \n >>> fibfib(1)\n 0\n >>> fibfib(5)\n 4\n >>> fibfib(8)\n 24\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 1\n else:\n a, b, c = 0, 0, 1\n for _ in range(3, n + 1):\n a, b, c = b, c, a + b + c\n return c\n\n# Test cases"} +{"task_id": "HumanEval/64", "solution": "def vowels_count(s):\n \"\"\"\n Write a function vowels_count which takes a string representing\n a word as input and returns the number of vowels in the string.\n Vowels in this case are 'a', 'e', 'i', 'o', 'u'. Here, 'y' is also a\n vowel, but only when it is at the end of the given word.\n\n Example:\n >>> vowels_count(\"abcde\")\n 2\n >>> vowels_count(\"ACEDY\")\n 3\n \"\"\"\n vowels = 'aeiou'\n count = 0\n for char in s:\n if char.lower() in vowels:\n count += 1\n if s.endswith('y'):\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/65", "solution": "def circular_shift(x, shift):\n \"\"\"Circular shift the digits of the integer x, shift the digits right by shift\n and return the result as a string.\n If shift > number of digits, return digits reversed.\n >>> circular_shift(12, 1)\n \"21\"\n >>> circular_shift(12, 2)\n \"12\"\n \"\"\"\n # Convert the integer to a string to easily manipulate the digits\n x_str = str(x)\n \n # Calculate the effective shift\n effective_shift = shift % len(x_str)\n \n # Perform the circular shift\n shifted_str = x_str[-effective_shift:] + x_str[:-effective_shift]\n \n # Return the result as a string\n return shifted_str\n\n# Test cases"} +{"task_id": "HumanEval/66", "solution": "def digitSum(s):\n \"\"\"\n Task\n Write a function that takes a string as input and returns the sum of the upper characters only'\n ASCII codes.\n\n Examples:\n digitSum(\"\") => 0\n digitSum(\"abAB\") => 131\n digitSum(\"abcCd\") => 67\n digitSum(\"helloE\") => 69\n digitSum(\"woArBld\") => 131\n digitSum(\"aAaaaXa\") => 153\n \"\"\"\n return sum(ord(c) for c in s if c.isupper())\n\n# Test cases"} +{"task_id": "HumanEval/67", "solution": "def fruit_distribution(s, n):\n \"\"\"\n In this task, you will be given a string that represents a number of apples and oranges \n that are distributed in a basket of fruit this basket contains \n apples, oranges, and mango fruits. Given the string that represents the total number of \n the oranges and apples and an integer that represent the total number of the fruits \n in the basket return the number of the mango fruits in the basket.\n for examble:\n fruit_distribution(\"5 apples and 6 oranges\", 19) ->19 - 5 - 6 = 8\n fruit_distribution(\"0 apples and 1 oranges\",3) -> 3 - 0 - 1 = 2\n fruit_distribution(\"2 apples and 3 oranges\", 100) -> 100 - 2 - 3 = 95\n fruit_distribution(\"100 apples and 1 oranges\",120) -> 120 - 100 - 1 = 19\n \"\"\"\n # Extract the number of apples and oranges from the string\n apples, oranges = map(int, s.split()[1::2])\n \n # Calculate the number of mangoes\n mangoes = n - apples - oranges\n \n return mangoes\n\n# Test cases"} +{"task_id": "HumanEval/68", "solution": "def pluck(arr):\n \"\"\"\n Given an array representing a branch of a tree that has non-negative integer nodes\n your task is to pluck one of the nodes and return it.\n The plucked node should be the node with the smallest even value.\n If multiple nodes with the same smallest even value are found return the node that has smallest index.\n\n The plucked node should be returned in a list, [ smalest_value, its index ],\n If there are no even values or the given array is empty, return [].\n\n Example 1:\n Input: [4,2,3]\n Output: [2, 1]\n Explanation: 2 has the smallest even value, and 2 has the smallest index.\n\n Example 2:\n Input: [1,2,3]\n Output: [2, 1]\n Explanation: 2 has the smallest even value, and 2 has the smallest index. \n\n Example 3:\n Input: []\n Output: []\n \n Example 4:\n Input: [5, 0, 3, 0, 4, 2]\n Output: [0, 1]\n Explanation: 0 is the smallest value, but there are two zeros,\n so we will choose the first zero, which has the smallest index.\n\n Constraints:\n * 1 <= nodes.length <= 10000\n * 0 <= node.value\n \"\"\"\n if not arr:\n return []\n\n even_values = [(value, index) for index, value in enumerate(arr) if value % 2 == 0]\n if not even_values:\n return []\n\n smallest_even_value = min(even_values, key=lambda x: (x[0], x[1]))\n return [smallest_even_value[0], smallest_even_value[1]]\n\n# Test cases"} +{"task_id": "HumanEval/69", "solution": "def search(lst):\n '''\n You are given a non-empty list of positive integers. Return the greatest integer that is greater than \n zero, and has a frequency greater than or equal to the value of the integer itself. \n The frequency of an integer is the number of times it appears in the list.\n If no such a value exist, return -1.\n Examples:\n search([4, 1, 2, 2, 3, 1]) == 2\n search([1, 2, 2, 3, 3, 3, 4, 4, 4]) == 3\n search([5, 5, 4, 4, 4]) == -1\n '''\n from collections import Counter\n count = Counter(lst)\n for num in sorted(count.keys(), reverse=True):\n if count[num] >= num:\n return num\n return -1\n\n# Test cases"} +{"task_id": "HumanEval/70", "solution": "def strange_sort_list(lst):\n '''\n Given list of integers, return list in strange order.\n Strange sorting, is when you start with the minimum value,\n then maximum of the remaining integers, then minimum and so on.\n\n Examples:\n strange_sort_list([1, 2, 3, 4]) == [1, 4, 2, 3]\n strange_sort_list([5, 5, 5, 5]) == [5, 5, 5, 5]\n strange_sort_list([]) == []\n '''\n if not lst:\n return []\n\n sorted_lst = []\n while lst:\n # Take the minimum value\n min_value = min(lst)\n sorted_lst.append(min_value)\n lst.remove(min_value)\n\n # If there are still elements, take the maximum value\n if lst:\n max_value = max(lst)\n sorted_lst.append(max_value)\n lst.remove(max_value)\n\n return sorted_lst\n\n# Test cases"} +{"task_id": "HumanEval/71", "solution": "def triangle_area(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return the area of\n the triangle rounded to 2 decimal points if the three sides form a valid triangle. \n Otherwise return -1\n Three sides make a valid triangle when the sum of any two sides is greater \n than the third side.\n Example:\n triangle_area(3, 4, 5) == 6.00\n triangle_area(1, 2, 10) == -1\n '''\n # Check if the three sides can form a valid triangle\n if a + b > c and a + c > b and b + c > a:\n # Calculate the semi-perimeter\n s = (a + b + c) / 2\n # Calculate the area using Heron's formula\n area = (s * (s - a) * (s - b) * (s - c)) ** 0.5\n # Return the area rounded to 2 decimal points\n return round(area, 2)\n else:\n # Return -1 if the sides do not form a valid triangle\n return -1\n\n# Test cases"} +{"task_id": "HumanEval/72", "solution": "def will_it_fly(q, w):\n '''\n Write a function that returns True if the object q will fly, and False otherwise.\n The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.\n\n Example:\n will_it_fly([1, 2], 5) \u279e False \n # 1+2 is less than the maximum possible weight, but it's unbalanced.\n\n will_it_fly([3, 2, 3], 1) \u279e False\n # it's balanced, but 3+2+3 is more than the maximum possible weight.\n\n will_it_fly([3, 2, 3], 9) \u279e True\n # 3+2+3 is less than the maximum possible weight, and it's balanced.\n\n will_it_fly([3], 5) \u279e True\n # 3 is less than the maximum possible weight, and it's balanced.\n '''\n # Check if the list is a palindrome\n if q != q[::-1]:\n return False\n \n # Check if the sum of the elements is less than or equal to the maximum possible weight\n if sum(q) <= w:\n return True\n else:\n return False\n\n# Test cases"} +{"task_id": "HumanEval/73", "solution": "def smallest_change(arr):\n \"\"\"\n Given an array arr of integers, find the minimum number of elements that\n need to be changed to make the array palindromic. A palindromic array is an array that\n is read the same backwards and forwards. In one change, you can change one element to any other element.\n\n For example:\n smallest_change([1,2,3,5,4,7,9,6]) == 4\n smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1\n smallest_change([1, 2, 3, 2, 1]) == 0\n \"\"\"\n n = len(arr)\n changes = 0\n for i in range(n // 2):\n if arr[i] != arr[n - 1 - i]:\n changes += 1\n return changes\n\n# Test cases"} +{"task_id": "HumanEval/74", "solution": "def total_match(lst1, lst2):\n '''\n Write a function that accepts two lists of strings and returns the list that has \n total number of chars in the all strings of the list less than the other list.\n\n if the two lists have the same number of chars, return the first list.\n\n Examples\n total_match([], []) \u279e []\n total_match(['hi', 'admin'], ['hI', 'Hi']) \u279e ['hI', 'Hi']\n total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) \u279e ['hi', 'admin']\n total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) \u279e ['hI', 'hi', 'hi']\n total_match(['4'], ['1', '2', '3', '4', '5']) \u279e ['4']\n '''\n def total_chars(lst):\n return sum(len(s) for s in lst)\n\n total1 = total_chars(lst1)\n total2 = total_chars(lst2)\n\n if total1 < total2:\n return lst1\n elif total2 < total1:\n return lst2\n else:\n return lst1\n\n# Test cases"} +{"task_id": "HumanEval/75", "solution": "def is_multiply_prime(a):\n \"\"\"\n Write a function that returns true if the given number is the multiplication of 3 prime numbers\n and false otherwise.\n Knowing that (a) is less then 100. \n Example:\n is_multiply_prime(30) == True\n 30 = 2 * 3 * 5\n \"\"\"\n def is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n factors = []\n for i in range(2, int(a**0.5) + 1):\n if a % i == 0:\n factors.append(i)\n if a // i != i:\n factors.append(a // i)\n\n prime_factors = [factor for factor in factors if is_prime(factor)]\n return len(prime_factors) == 3\n\n# Test cases"} +{"task_id": "HumanEval/76", "solution": "def is_simple_power(x, n):\n \"\"\"\n Checks if a number x is a simple power of n.\n \n A number x is a simple power of n if n**int(x**(1/n)) == x.\n \n Parameters:\n x (int): The number to check.\n n (int): The base of the power.\n \n Returns:\n bool: True if x is a simple power of n, False otherwise.\n \"\"\"\n if n == 1:\n return x == 1\n if x == 1:\n return True\n if x == 0:\n return False\n if n == 0:\n return False\n \n # Calculate the integer part of x raised to the power of 1/n\n power = int(x ** (1 / n))\n \n # Check if n raised to the power of the integer part equals x\n return n ** power == x\n\n# Test cases"} +{"task_id": "HumanEval/77", "solution": "def iscube(a):\n '''\n Write a function that takes an integer a and returns True \n if this integer is a cube of some integer number.\n Note: you may assume the input is always valid.\n Examples:\n iscube(1) ==> True\n iscube(2) ==> False\n iscube(-1) ==> True\n iscube(64) ==> True\n iscube(0) ==> True\n iscube(180) ==> False\n '''\n if a == 0:\n return True\n if a < 0:\n a = -a\n cube_root = round(a ** (1/3))\n return cube_root ** 3 == a\n\n# Test cases"} +{"task_id": "HumanEval/78", "solution": "def hex_key(num):\n \"\"\"\n Counts the number of hexadecimal digits that are primes.\n \n Parameters:\n num (str): A string representing a hexadecimal number.\n \n Returns:\n int: The number of hexadecimal digits that are primes.\n \"\"\"\n # Define the set of prime hexadecimal digits\n prime_hex_digits = {'2', '3', '5', '7', 'B', 'D'}\n \n # Count the number of prime hexadecimal digits\n return sum(1 for digit in num if digit in prime_hex_digits)\n\n# Test cases"} +{"task_id": "HumanEval/79", "solution": "def decimal_to_binary(decimal):\n \"\"\"\n Converts a decimal number to its binary representation.\n \n Parameters:\n decimal (int): The decimal number to be converted.\n \n Returns:\n str: A string representing the binary number, with 'db' at the beginning and end.\n \"\"\"\n binary = bin(decimal)[2:] # Convert to binary and remove the '0b' prefix\n return f\"db{binary}db\"\n\n# Test cases"} +{"task_id": "HumanEval/80", "solution": "def is_happy(s):\n \"\"\"\n You are given a string s.\n Your task is to check if the string is happy or not.\n A string is happy if its length is at least 3 and every 3 consecutive letters are distinct\n For example:\n is_happy(a) => False\n is_happy(aa) => False\n is_happy(abcd) => True\n is_happy(aabb) => False\n is_happy(adb) => True\n is_happy(xyy) => False\n \"\"\"\n if len(s) < 3:\n return False\n \n for i in range(len(s) - 2):\n if len(set(s[i:i+3])) != 3:\n return False\n \n return True\n\n# Test cases"} +{"task_id": "HumanEval/81", "solution": "def numerical_letter_grade(grades):\n \"\"\"\n Converts a list of GPAs to a list of letter grades based on the following table:\n \n GPA | Letter grade\n 4.0 A+\n > 3.7 A \n > 3.3 A- \n > 3.0 B+\n > 2.7 B \n > 2.3 B-\n > 2.0 C+\n > 1.7 C\n > 1.3 C-\n > 1.0 D+ \n > 0.7 D \n > 0.0 D-\n 0.0 E\n \n Example:\n numerical_letter_grade([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-']\n \"\"\"\n letter_grades = []\n for gpa in grades:\n if gpa == 4.0:\n letter_grades.append('A+')\n elif gpa > 3.7:\n letter_grades.append('A')\n elif gpa > 3.3:\n letter_grades.append('A-')\n elif gpa > 3.0:\n letter_grades.append('B+')\n elif gpa > 2.7:\n letter_grades.append('B')\n elif gpa > 2.3:\n letter_grades.append('B-')\n elif gpa > 2.0:\n letter_grades.append('C+')\n elif gpa > 1.7:\n letter_grades.append('C')\n elif gpa > 1.3:\n letter_grades.append('C-')\n elif gpa > 1.0:\n letter_grades.append('D+')\n elif gpa > 0.7:\n letter_grades.append('D')\n elif gpa > 0.0:\n letter_grades.append('D-')\n else:\n letter_grades.append('E')\n return letter_grades\n\n# Test cases"} +{"task_id": "HumanEval/82", "solution": "def prime_length(string):\n \"\"\"\n Write a function that takes a string and returns True if the string\n length is a prime number or False otherwise\n Examples\n prime_length('Hello') == True\n prime_length('abcdcba') == True\n prime_length('kittens') == True\n prime_length('orange') == False\n \"\"\"\n def is_prime(n):\n \"\"\"Helper function to check if a number is prime\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n return is_prime(len(string))\n\n# Test cases"} +{"task_id": "HumanEval/83", "solution": "def starts_one_ends(n):\n \"\"\"\n Given a positive integer n, return the count of the numbers of n-digit\n positive integers that start or end with 1.\n \"\"\"\n if n < 1:\n raise ValueError(\"n must be a positive integer\")\n \n # The count of numbers of n-digit positive integers that start or end with 1\n # is 2 * 9 * 10^(n-2)\n # This is because for each n-digit number, there are 2 choices (start with 1 or end with 1)\n # and there are 9 choices for the first digit (1-9)\n # and 10 choices for the remaining digits (0-9)\n # The first digit can be 1, so there are 9 choices for the first digit\n # The remaining digits can be any of the 10 digits, so there are 10^(n-2) choices\n # Therefore, the total count is 2 * 9 * 10^(n-2)\n return 2 * 9 * 10**(n - 2)\n\n# Test cases"} +{"task_id": "HumanEval/84", "solution": "def solve(N):\n \"\"\"Given a positive integer N, return the total sum of its digits in binary.\n \n Example\n For N = 1000, the sum of digits will be 1 the output should be \"1\".\n For N = 150, the sum of digits will be 6 the output should be \"110\".\n For N = 147, the sum of digits will be 12 the output should be \"1100\".\n \n Variables:\n @N integer\n Constraints: 0 \u2264 N \u2264 10000.\n Output:\n a string of binary number\n \"\"\"\n # Convert the number to a string to easily iterate over each digit\n N_str = str(N)\n \n # Initialize the sum of digits\n sum_of_digits = 0\n \n # Iterate over each digit in the string\n for digit in N_str:\n # Convert the digit back to an integer and add it to the sum\n sum_of_digits += int(digit)\n \n # Convert the sum of digits to binary and return it as a string\n return bin(sum_of_digits)[2:]\n\n# Test cases"} +{"task_id": "HumanEval/85", "solution": "def add(lst):\n \"\"\"\n Given a non-empty list of integers lst, add the even elements that are at odd indices.\n\n Examples:\n add([4, 2, 6, 7]) ==> 2\n \"\"\"\n return sum(lst[i] for i in range(1, len(lst), 2) if lst[i] % 2 == 0)\n\n# Test cases"} +{"task_id": "HumanEval/86", "solution": "def anti_shuffle(s):\n \"\"\"\n Write a function that takes a string and returns an ordered version of it.\n Ordered version of string, is a string where all words (separated by space)\n are replaced by a new word where all the characters arranged in\n ascending order based on ascii value.\n Note: You should keep the order of words and blank spaces in the sentence.\n\n For example:\n anti_shuffle('Hi') returns 'Hi'\n anti_shuffle('hello') returns 'ehllo'\n anti_shuffle('Hello World!!!') returns 'Hello !!!Wdlor'\n \"\"\"\n # Split the string into words\n words = s.split()\n \n # Sort each word by ASCII value and join them back together\n sorted_words = [''.join(sorted(word)) for word in words]\n \n # Join the sorted words back together with spaces\n result = ' '.join(sorted_words)\n \n return result\n\n# Test cases"} +{"task_id": "HumanEval/87", "solution": "def get_row(lst, x):\n \"\"\"\n You are given a 2 dimensional data, as a nested lists,\n which is similar to matrix, however, unlike matrices,\n each row may contain a different number of columns.\n Given lst, and integer x, find integers x in the list,\n and return list of tuples, [(x1, y1), (x2, y2) ...] such that\n each tuple is a coordinate - (row, columns), starting with 0.\n Sort coordinates initially by rows in ascending order.\n Also, sort coordinates of the row by columns in descending order.\n \n Examples:\n get_row([\n [1,2,3,4,5,6],\n [1,2,3,4,1,6],\n [1,2,3,4,5,1]\n ], 1) == [(0, 0), (1, 4), (1, 0), (2, 5), (2, 0)]\n get_row([], 1) == []\n get_row([[], [1], [1, 2, 3]], 3) == [(2, 2)]\n \"\"\"\n # Initialize an empty list to store the coordinates\n coordinates = []\n \n # Iterate over the rows in the list\n for i, row in enumerate(lst):\n # Iterate over the columns in the row\n for j, value in enumerate(row):\n # Check if the value is equal to x\n if value == x:\n # Append the coordinate to the list\n coordinates.append((i, j))\n \n # Sort the coordinates by rows in ascending order\n coordinates.sort(key=lambda x: x[0])\n \n # Sort the coordinates of each row by columns in descending order\n for i in range(len(coordinates)):\n coordinates[i] = (coordinates[i][0], len(lst[coordinates[i][0]]) - 1 - coordinates[i][1])\n \n # Return the sorted list of coordinates\n return coordinates\n\n# Test cases"} +{"task_id": "HumanEval/88", "solution": "def sort_array(array):\n \"\"\"\n Given an array of non-negative integers, return a copy of the given array after sorting,\n you will sort the given array in ascending order if the sum( first index value, last index value) is odd,\n or sort it in descending order if the sum( first index value, last index value) is even.\n\n Note:\n * don't change the given array.\n\n Examples:\n * sort_array([]) => []\n * sort_array([5]) => [5]\n * sort_array([2, 4, 3, 0, 1, 5]) => [0, 1, 2, 3, 4, 5]\n * sort_array([2, 4, 3, 0, 1, 5, 6]) => [6, 5, 4, 3, 2, 1, 0]\n \"\"\"\n if not array:\n return []\n \n # Calculate the sum of the first and last elements\n sum_first_last = array[0] + array[-1]\n \n # Sort the array in ascending order if the sum is odd, otherwise in descending order\n if sum_first_last % 2 == 1:\n return sorted(array)\n else:\n return sorted(array, reverse=True)\n\n# Test cases"} +{"task_id": "HumanEval/89", "solution": "def encrypt(s):\n \"\"\"\n Create a function encrypt that takes a string as an argument and\n returns a string encrypted with the alphabet being rotated. \n The alphabet should be rotated in a manner such that the letters \n shift down by two multiplied to two places.\n For example:\n encrypt('hi') returns 'lm'\n encrypt('asdfghjkl') returns 'ewhjklnop'\n encrypt('gf') returns 'kj'\n encrypt('et') returns 'ix'\n \"\"\"\n encrypted_s = ''\n for char in s:\n if char.isalpha():\n shift = 2 * (ord(char.lower()) - ord('a') + 2) % 26\n encrypted_char = chr(ord('a') + shift)\n encrypted_s += encrypted_char\n else:\n encrypted_s += char\n return encrypted_s\n\n# Test cases"} +{"task_id": "HumanEval/90", "solution": "def next_smallest(lst):\n \"\"\"\n You are given a list of integers.\n Write a function next_smallest() that returns the 2nd smallest element of the list.\n Return None if there is no such element.\n \n next_smallest([1, 2, 3, 4, 5]) == 2\n next_smallest([5, 1, 4, 3, 2]) == 2\n next_smallest([]) == None\n next_smallest([1, 1]) == None\n \"\"\"\n if len(lst) < 2:\n return None\n \n # Find the smallest and second smallest elements\n smallest = float('inf')\n second_smallest = float('inf')\n \n for num in lst:\n if num < smallest:\n second_smallest = smallest\n smallest = num\n elif smallest < num < second_smallest:\n second_smallest = num\n \n return second_smallest if second_smallest != float('inf') else None\n\n# Test cases"} +{"task_id": "HumanEval/91", "solution": "def is_bored(S):\n \"\"\"\n You'll be given a string of words, and your task is to count the number\n of boredoms. A boredom is a sentence that starts with the word \"I\".\n Sentences are delimited by '.', '?' or '!'.\n \n For example:\n >>> is_bored(\"Hello world\")\n 0\n >>> is_bored(\"The sky is blue. The sun is shining. I love this weather\")\n 1\n \"\"\"\n # Split the string into sentences\n sentences = S.split('.') + S.split('?') + S.split('!')\n # Filter out empty strings and strip leading/trailing whitespace\n sentences = [sentence.strip() for sentence in sentences if sentence.strip()]\n # Count the number of sentences that start with \"I\"\n return sum(1 for sentence in sentences if sentence.startswith('I'))\n\n# Test cases"} +{"task_id": "HumanEval/92", "solution": "def any_int(x, y, z):\n \"\"\"\n Create a function that takes 3 numbers.\n Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers.\n Returns false in any other cases.\n \n Examples\n any_int(5, 2, 7) \u279e True\n \n any_int(3, 2, 2) \u279e False\n\n any_int(3, -2, 1) \u279e True\n \n any_int(3.6, -2.2, 2) \u279e False\n \"\"\"\n # Check if all inputs are integers\n if not all(isinstance(num, int) for num in (x, y, z)):\n return False\n \n # Check if any number is equal to the sum of the other two\n if x + y == z or x + z == y or y + z == x:\n return True\n else:\n return False\n\n# Test cases"} +{"task_id": "HumanEval/93", "solution": "def encode(message):\n \"\"\"\n Write a function that takes a message, and encodes in such a \n way that it swaps case of all letters, replaces all vowels in \n the message with the letter that appears 2 places ahead of that \n vowel in the english alphabet. \n Assume only letters. \n \n Examples:\n >>> encode('test')\n 'TGST'\n >>> encode('This is a message')\n 'tHKS KS C MGSSCGG'\n \"\"\"\n vowels = 'aeiouAEIOU'\n encoded_message = ''\n for char in message:\n if char in vowels:\n # Find the position of the vowel in the alphabet\n position = ord(char) - ord('a') if char.islower() else ord(char) - ord('A')\n # Calculate the position of the letter 2 places ahead\n new_position = (position + 2) % 26\n # Convert the new position back to a character\n new_char = chr(new_position + ord('a')) if char.islower() else chr(new_position + ord('A'))\n encoded_message += new_char\n else:\n encoded_message += char\n return encoded_message\n\n# Test cases"} +{"task_id": "HumanEval/94", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef sum_of_digits(n):\n \"\"\"Calculate the sum of digits of a number.\"\"\"\n return sum(int(digit) for digit in str(n))\n\ndef largest_prime_and_sum_of_digits(lst):\n \"\"\"Find the largest prime value in the list and return the sum of its digits.\"\"\"\n largest_prime = max(filter(is_prime, lst), default=None)\n if largest_prime is None:\n return 0\n return sum_of_digits(largest_prime)\n\n# Test cases"} +{"task_id": "HumanEval/95", "solution": "def check_dict_case(dict):\n \"\"\"\n Given a dictionary, return True if all keys are strings in lower \n case or all keys are strings in upper case, else return False.\n The function should return False is the given dictionary is empty.\n Examples:\n check_dict_case({\"a\":\"apple\", \"b\":\"banana\"}) should return True.\n check_dict_case({\"a\":\"apple\", \"A\":\"banana\", \"B\":\"banana\"}) should return False.\n check_dict_case({\"a\":\"apple\", 8:\"banana\", \"a\":\"apple\"}) should return False.\n check_dict_case({\"Name\":\"John\", \"Age\":\"36\", \"City\":\"Houston\"}) should return False.\n check_dict_case({\"STATE\":\"NC\", \"ZIP\":\"12345\" }) should return True.\n \"\"\"\n if not dict:\n return False\n \n keys = list(dict.keys())\n lower_case_keys = [key for key in keys if isinstance(key, str) and key.islower()]\n upper_case_keys = [key for key in keys if isinstance(key, str) and key.isupper()]\n \n if lower_case_keys and upper_case_keys:\n return False\n else:\n return True\n\n# Test cases"} +{"task_id": "HumanEval/96", "solution": "def is_prime(num):\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\ndef count_up_to(n):\n \"\"\"Implement a function that takes an non-negative integer and returns an array of the first n\n integers that are prime numbers and less than n.\n \"\"\"\n primes = []\n for i in range(2, n):\n if is_prime(i):\n primes.append(i)\n return primes\n\n# Test cases"} +{"task_id": "HumanEval/97", "solution": "def multiply(a, b):\n \"\"\"\n Complete the function that takes two integers and returns \n the product of their unit digits.\n Assume the input is always valid.\n Examples:\n multiply(148, 412) should return 16.\n multiply(19, 28) should return 72.\n multiply(2020, 1851) should return 0.\n multiply(14,-15) should return 20.\n \"\"\"\n # Extract the unit digits of a and b\n unit_digit_a = abs(a) % 10\n unit_digit_b = abs(b) % 10\n \n # Calculate the product of the unit digits\n product = unit_digit_a * unit_digit_b\n \n return product\n\n# Test cases"} +{"task_id": "HumanEval/98", "solution": "def count_upper(s):\n \"\"\"\n Given a string s, count the number of uppercase vowels in even indices.\n \n For example:\n count_upper('aBCdEf') returns 1\n count_upper('abcdefg') returns 0\n count_upper('dBBE') returns 0\n \"\"\"\n vowels = 'AEIOU'\n count = 0\n for i in range(0, len(s), 2):\n if s[i] in vowels:\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/99", "solution": "def closest_integer(value):\n '''\n Create a function that takes a value (string) representing a number\n and returns the closest integer to it. If the number is equidistant\n from two integers, round it away from zero.\n\n Examples\n >>> closest_integer(\"10\")\n 10\n >>> closest_integer(\"15.3\")\n 15\n\n Note:\n Rounding away from zero means that if the given number is equidistant\n from two integers, the one you should return is the one that is the\n farthest from zero. For example closest_integer(\"14.5\") should\n return 15 and closest_integer(\"-14.5\") should return -15.\n '''\n num = float(value)\n if num > 0:\n return int(num + 0.5)\n else:\n return int(num - 0.5)\n\n# Test cases"} +{"task_id": "HumanEval/100", "solution": "def make_a_pile(n):\n \"\"\"\n Given a positive integer n, you have to make a pile of n levels of stones.\n The first level has n stones.\n The number of stones in the next level is:\n - the next odd number if n is odd.\n - the next even number if n is even.\n Return the number of stones in each level in a list, where element at index\n i represents the number of stones in the level (i+1).\n\n Examples:\n >>> make_a_pile(3)\n [3, 5, 7]\n \"\"\"\n if n <= 0:\n raise ValueError(\"n must be a positive integer\")\n \n # Initialize the list with the first level\n pile = [n]\n \n # Determine the next number based on the parity of n\n next_number = n + 2 if n % 2 == 0 else n + 1\n \n # Generate the rest of the levels\n for _ in range(n - 1):\n pile.append(next_number)\n next_number += 2 if next_number % 2 == 0 else 1\n \n return pile\n\n# Test cases"} +{"task_id": "HumanEval/101", "solution": "def words_string(s):\n \"\"\"\n You will be given a string of words separated by commas or spaces. Your task is\n to split the string into words and return an array of the words.\n \n For example:\n words_string(\"Hi, my name is John\") == [\"Hi\", \"my\", \"name\", \"is\", \"John\"]\n words_string(\"One, two, three, four, five, six\") == [\"One\", \"two\", \"three\", \"four\", \"five\", \"six\"]\n \"\"\"\n # Split the string into words using a regular expression that matches commas or spaces\n words = re.split(r'[, ]', s)\n # Remove any empty strings that might result from the split\n words = [word for word in words if word]\n return words\n\n# Test cases\nimport re\n\n# Test case 1\ninput_str = \"Hi, my name is John\"\nexpected_output = [\"Hi\", \"my\", \"name\", \"is\", \"John\"]\nassert words_string(input_str) == expected_output, f\"Test case 1 failed: expected {expected_output}, got {words_string(input_str)}\"\n\n# Test case 2\ninput_str = \"One, two, three, four, five, six\"\nexpected_output = [\"One\", \"two\", \"three\", \"four\", \"five\", \"six\"]\nassert words_string(input_str) == expected_output, f\"Test case 2 failed: expected {expected_output}, got {words_string(input_str)}\"\n\n# Test case 3\ninput_str = \"This, is, a, test, case\"\nexpected_output = [\"This\", \"is\", \"a\", \"test\", \"case\"]\nassert words_string(input_str) == expected_output, f\"Test case 3 failed: expected {expected_output}, got {words_string(input_str)}\"\n\n# Test case 4\ninput_str = \"Single word\"\nexpected_output = [\"Single\", \"word\"]\nassert words_string(input_str) == expected_output, f\"Test case 4 failed: expected {expected_output}, got {words_string(input_str)}\"\n\n# Test case 5\ninput_str = \"No, words, here\"\nexpected_output = [\"No\", \"words\", \"here\"]\nassert words_string(input_str) == expected_output, f\"Test case 5 failed: expected {expected_output}, got {words_string(input_str)}\"\n"} +{"task_id": "HumanEval/102", "solution": "def choose_num(x, y):\n \"\"\"\n This function takes two positive numbers x and y and returns the\n biggest even integer number that is in the range [x, y] inclusive. If \n there's no such number, then the function should return -1.\n\n For example:\n choose_num(12, 15) = 14\n choose_num(13, 12) = -1\n \"\"\"\n if x > y:\n return -1\n if x % 2 == 0:\n return x\n else:\n return x + 1\n\n# Test cases"} +{"task_id": "HumanEval/103", "solution": "def rounded_avg(n, m):\n \"\"\"\n Compute the average of the integers from n through m (including n and m),\n round the answer to the nearest integer, and convert that to binary.\n If n is greater than m, return -1.\n \"\"\"\n if n > m:\n return -1\n avg = round((n + m) / 2)\n return bin(avg)\n\n# Test cases"} +{"task_id": "HumanEval/104", "solution": "def unique_digits(x):\n \"\"\"Given a list of positive integers x. return a sorted list of all \n elements that hasn't any even digit.\n\n Note: Returned list should be sorted in increasing order.\n \n For example:\n >>> unique_digits([15, 33, 1422, 1])\n [1, 15, 33]\n >>> unique_digits([152, 323, 1422, 10])\n []\n \"\"\"\n def has_even_digit(n):\n return any(int(digit) % 2 == 0 for digit in str(n))\n\n return sorted([num for num in x if not has_even_digit(num)])\n\n# Test cases"} +{"task_id": "HumanEval/105", "solution": "def by_length(arr):\n \"\"\"\n Given an array of integers, sort the integers that are between 1 and 9 inclusive,\n reverse the resulting array, and then replace each digit by its corresponding name from\n \"One\", \"Two\", \"Three\", \"Four\", \"Five\", \"Six\", \"Seven\", \"Eight\", \"Nine\".\n\n For example:\n arr = [2, 1, 1, 4, 5, 8, 2, 3] \n -> sort arr -> [1, 1, 2, 2, 3, 4, 5, 8] \n -> reverse arr -> [8, 5, 4, 3, 2, 2, 1, 1]\n return [\"Eight\", \"Five\", \"Four\", \"Three\", \"Two\", \"Two\", \"One\", \"One\"]\n \n If the array is empty, return an empty array:\n arr = []\n return []\n \n If the array has any strange number ignore it:\n arr = [1, -1 , 55] \n -> sort arr -> [-1, 1, 55]\n -> reverse arr -> [55, 1, -1]\n return = ['One']\n \"\"\"\n # Define the mapping from numbers to names\n num_to_name = {\n 1: \"One\", 2: \"Two\", 3: \"Three\", 4: \"Four\", 5: \"Five\",\n 6: \"Six\", 7: \"Seven\", 8: \"Eight\", 9: \"Nine\"\n }\n\n # Filter the array to include only numbers between 1 and 9\n valid_numbers = [num for num in arr if 1 <= num <= 9]\n\n # Sort the valid numbers in descending order\n sorted_numbers = sorted(valid_numbers, reverse=True)\n\n # Map the sorted numbers to their corresponding names\n result = [num_to_name[num] for num in sorted_numbers]\n\n return result\n\n# Test cases"} +{"task_id": "HumanEval/106", "solution": "def f(n):\n \"\"\"\n Implement the function f that takes n as a parameter,\n and returns a list of size n, such that the value of the element at index i is the factorial of i if i is even\n or the sum of numbers from 1 to i otherwise.\n i starts from 1.\n the factorial of i is the multiplication of the numbers from 1 to i (1 * 2 * ... * i).\n Example:\n f(5) == [1, 2, 6, 24, 15]\n \"\"\"\n def factorial(x):\n if x == 0:\n return 1\n else:\n return x * factorial(x - 1)\n\n def sum_to_n(x):\n return sum(range(1, x + 1))\n\n result = []\n for i in range(1, n + 1):\n if i % 2 == 0:\n result.append(factorial(i))\n else:\n result.append(sum_to_n(i))\n return result\n\n# Test cases"} +{"task_id": "HumanEval/107", "solution": "def even_odd_palindrome(n):\n \"\"\"\n Given a positive integer n, return a tuple that has the number of even and odd\n integer palindromes that fall within the range(1, n), inclusive.\n\n Example 1:\n\n Input: 3\n Output: (1, 2)\n Explanation:\n Integer palindrome are 1, 2, 3. one of them is even, and two of them are odd.\n\n Example 2:\n\n Input: 12\n Output: (4, 6)\n Explanation:\n Integer palindrome are 1, 2, 3, 4, 5, 6, 7, 8, 9, 11. four of them are even, and 6 of them are odd.\n\n Note:\n 1. 1 <= n <= 10^3\n 2. returned tuple has the number of even and odd integer palindromes respectively.\n \"\"\"\n def is_palindrome(num):\n return str(num) == str(num)[::-1]\n\n even_count = 0\n odd_count = 0\n\n for i in range(1, n + 1):\n if is_palindrome(i):\n if i % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n\n return (even_count, odd_count)\n\n# Test cases"} +{"task_id": "HumanEval/108", "solution": "def count_nums(arr):\n \"\"\"\n Write a function count_nums which takes an array of integers and returns\n the number of elements which has a sum of digits > 0.\n If a number is negative, then its first signed digit will be negative:\n e.g. -123 has signed digits -1, 2, and 3.\n >>> count_nums([]) == 0\n >>> count_nums([-1, 11, -11]) == 1\n >>> count_nums([1, 1, 2]) == 3\n \"\"\"\n count = 0\n for num in arr:\n if num < 0:\n num = -num\n sum_digits = sum(int(digit) for digit in str(num))\n if sum_digits > 0:\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/109", "solution": "def move_one_ball(arr):\n \"\"\"\n Determines if it is possible to get an array sorted in non-decreasing order by performing \n the right shift operation on the given array.\n\n Parameters:\n arr (list): A list of integers.\n\n Returns:\n bool: True if it is possible to get a sorted array, False otherwise.\n \"\"\"\n if not arr:\n return True\n\n # Check if the array is already sorted\n if all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)):\n return True\n\n # Check if the array can be sorted by performing a right shift operation\n for i in range(len(arr)):\n shifted_arr = arr[i:] + arr[:i]\n if all(shifted_arr[j] <= shifted_arr[j + 1] for j in range(len(shifted_arr) - 1)):\n return True\n\n return False\n\n# Test cases"} +{"task_id": "HumanEval/110", "solution": "def exchange(lst1, lst2):\n \"\"\"\n This function checks if it is possible to exchange elements between two lists\n to make all elements of the first list even.\n \n Parameters:\n lst1 (list): The first list of numbers.\n lst2 (list): The second list of numbers.\n \n Returns:\n str: \"YES\" if it is possible to make all elements of lst1 even, \"NO\" otherwise.\n \"\"\"\n # Check if all elements in lst1 are even\n if all(num % 2 == 0 for num in lst1):\n return \"YES\"\n \n # Check if there are any odd numbers in lst1\n odd_in_lst1 = any(num % 2 != 0 for num in lst1)\n \n # Check if there are any even numbers in lst2\n even_in_lst2 = any(num % 2 == 0 for num in lst2)\n \n # If there are odd numbers in lst1 and even numbers in lst2, it is possible to exchange\n if odd_in_lst1 and even_in_lst2:\n return \"YES\"\n \n # If there are no odd numbers in lst1 and no even numbers in lst2, it is impossible to exchange\n return \"NO\"\n\n# Test cases"} +{"task_id": "HumanEval/111", "solution": "def histogram(test):\n \"\"\"Given a string representing a space separated lowercase letters, return a dictionary\n of the letter with the most repetition and containing the corresponding count.\n If several letters have the same occurrence, return all of them.\n \n Example:\n histogram('a b c') == {'a': 1, 'b': 1, 'c': 1}\n histogram('a b b a') == {'a': 2, 'b': 2}\n histogram('a b c a b') == {'a': 2, 'b': 2}\n histogram('b b b b a') == {'b': 4}\n histogram('') == {}\n\n \"\"\"\n # Split the input string into a list of letters\n letters = test.split()\n \n # Initialize an empty dictionary to store the letter counts\n letter_counts = {}\n \n # Iterate over the list of letters\n for letter in letters:\n # If the letter is already in the dictionary, increment its count\n if letter in letter_counts:\n letter_counts[letter] += 1\n # Otherwise, add the letter to the dictionary with a count of 1\n else:\n letter_counts[letter] = 1\n \n # Find the maximum count\n max_count = max(letter_counts.values(), default=0)\n \n # Filter the dictionary to include only the letters with the maximum count\n result = {letter: count for letter, count in letter_counts.items() if count == max_count}\n \n return result\n\n# Test cases"} +{"task_id": "HumanEval/112", "solution": "def reverse_delete(s, c):\n \"\"\"\n Deletes all characters in s that are equal to any character in c,\n then checks if the result string is a palindrome.\n \n Parameters:\n s (str): The input string to be processed.\n c (str): The characters to be deleted from s.\n \n Returns:\n tuple: A tuple containing the processed string and a boolean indicating if it is a palindrome.\n \"\"\"\n # Remove characters in c from s\n s = ''.join([char for char in s if char not in c])\n \n # Check if the resulting string is a palindrome\n is_palindrome = s == s[::-1]\n \n return (s, is_palindrome)\n\n# Test cases"} +{"task_id": "HumanEval/113", "solution": "def odd_count(lst):\n \"\"\"Given a list of strings, where each string consists of only digits, return a list.\n Each element i of the output should be \"the number of odd elements in the\n string i of the input.\" where all the i's should be replaced by the number\n of odd digits in the i'th string of the input.\n\n >>> odd_count(['1234567'])\n [\"the number of odd elements 4n the str4ng 4 of the 4nput.\"]\n >>> odd_count(['3',\"11111111\"])\n [\"the number of odd elements 1n the str1ng 1 of the 1nput.\",\n \"the number of odd elements 8n the str8ng 8 of the 8nput.\"]\n \"\"\"\n result = []\n for i, s in enumerate(lst):\n odd_count = sum(1 for char in s if int(char) % 2 != 0)\n result.append(f\"the number of odd elements {odd_count}n the str{odd_count}ng {odd_count} of the {odd_count}nput.\")\n return result\n\n# Test cases"} +{"task_id": "HumanEval/114", "solution": "def minSubArraySum(nums):\n \"\"\"\n Given an array of integers nums, find the minimum sum of any non-empty sub-array\n of nums.\n Example\n minSubArraySum([2, 3, 4, 1, 2, 4]) == 1\n minSubArraySum([-1, -2, -3]) == -6\n \"\"\"\n if not nums:\n return 0\n\n min_sum = float('inf')\n current_sum = 0\n\n for num in nums:\n current_sum += num\n if current_sum < min_sum:\n min_sum = current_sum\n if current_sum > 0:\n current_sum = 0\n\n return min_sum\n\n# Test cases"} +{"task_id": "HumanEval/115", "solution": "import math\n\ndef max_fill(grid, capacity):\n \"\"\"\n You are given a rectangular grid of wells. Each row represents a single well,\n and each 1 in a row represents a single unit of water.\n Each well has a corresponding bucket that can be used to extract water from it, \n and all buckets have the same capacity.\n Your task is to use the buckets to empty the wells.\n Output the number of times you need to lower the buckets.\n\n Example 1:\n Input: \n grid : [[0,0,1,0], [0,1,0,0], [1,1,1,1]]\n bucket_capacity : 1\n Output: 6\n\n Example 2:\n Input: \n grid : [[0,0,1,1], [0,0,0,0], [1,1,1,1], [0,1,1,1]]\n bucket_capacity : 2\n Output: 5\n \n Example 3:\n Input: \n grid : [[0,0,0], [0,0,0]]\n bucket_capacity : 5\n Output: 0\n\n Constraints:\n * all wells have the same length\n * 1 <= grid.length <= 10^2\n * 1 <= grid[:,1].length <= 10^2\n * grid[i][j] -> 0 | 1\n * 1 <= capacity <= 10\n \"\"\"\n # Initialize the number of times the buckets need to be lowered\n times = 0\n \n # Iterate over each row in the grid\n for row in grid:\n # Count the number of 1s in the row\n ones = sum(row)\n \n # Calculate the number of times the buckets need to be lowered for this row\n times += math.ceil(ones / capacity)\n \n return times\n\n# Test cases"} +{"task_id": "HumanEval/116", "solution": "def sort_array(arr):\n \"\"\"\n In this Kata, you have to sort an array of non-negative integers according to\n number of ones in their binary representation in ascending order.\n For similar number of ones, sort based on decimal value.\n\n It must be implemented like this:\n >>> sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5]\n >>> sort_array([-2, -3, -4, -5, -6]) == [-6, -5, -4, -3, -2]\n >>> sort_array([1, 0, 2, 3, 4]) [0, 1, 2, 3, 4]\n \"\"\"\n # Convert each number to its binary representation and count the number of ones\n binary_counts = [(bin(num).count('1'), num) for num in arr]\n \n # Sort the list based on the count of ones and then the decimal value\n sorted_arr = sorted(binary_counts, key=lambda x: (x[0], x[1]))\n \n # Extract the sorted decimal values\n sorted_decimal_values = [num for _, num in sorted_arr]\n \n return sorted_decimal_values\n\n# Test cases"} +{"task_id": "HumanEval/117", "solution": "def select_words(s, n):\n \"\"\"\n Given a string s and a natural number n, returns a list of all words from string s \n that contain exactly n consonants, in order these words appear in the string s.\n If the string s is empty then the function returns an empty list.\n Note: you may assume the input string contains only letters and spaces.\n \"\"\"\n def count_consonants(word):\n \"\"\"Helper function to count consonants in a word.\"\"\"\n consonants = \"bcdfghjklmnpqrstvwxyz\"\n return sum(1 for char in word.lower() if char in consonants)\n\n if not s:\n return []\n\n words = s.split()\n return [word for word in words if count_consonants(word) == n]\n\n# Test cases"} +{"task_id": "HumanEval/118", "solution": "def get_closest_vowel(word):\n \"\"\"\n You are given a word. Your task is to find the closest vowel that stands between \n two consonants from the right side of the word (case sensitive).\n \n Vowels in the beginning and ending doesn't count. Return empty string if you didn't\n find any vowel met the above condition. \n\n You may assume that the given string contains English letter only.\n\n Example:\n get_closest_vowel(\"yogurt\") ==> \"u\"\n get_closest_vowel(\"FULL\") ==> \"U\"\n get_closest_vowel(\"quick\") ==> \"\"\n get_closest_vowel(\"ab\") ==> \"\"\n \"\"\"\n vowels = \"aeiouAEIOU\"\n for i in range(len(word) - 2, 0, -1):\n if word[i] in vowels and word[i-1] not in vowels and word[i+1] not in vowels:\n return word[i]\n return \"\"\n\n# Test cases"} +{"task_id": "HumanEval/119", "solution": "def match_parens(lst):\n '''\n You are given a list of two strings, both strings consist of open\n parentheses '(' or close parentheses ')' only.\n Your job is to check if it is possible to concatenate the two strings in\n some order, that the resulting string will be good.\n A string S is considered to be good if and only if all parentheses in S\n are balanced. For example: the string '(())()' is good, while the string\n '())' is not.\n Return 'Yes' if there's a way to make a good string, and return 'No' otherwise.\n\n Examples:\n match_parens(['()(', ')']) == 'Yes'\n match_parens([')', ')']) == 'No'\n '''\n # Initialize a stack to keep track of open parentheses\n stack = []\n \n # Concatenate the two strings\n combined_string = lst[0] + lst[1]\n \n # Iterate over each character in the combined string\n for char in combined_string:\n if char == '(':\n # If an open parenthesis is found, push it onto the stack\n stack.append(char)\n elif char == ')':\n # If a close parenthesis is found, check if there's a matching open parenthesis\n if not stack or stack[-1] != '(':\n # If there's no matching open parenthesis, the string is not good\n return 'No'\n # If there's a matching open parenthesis, pop it from the stack\n stack.pop()\n \n # If the stack is empty, all parentheses are balanced\n if not stack:\n return 'Yes'\n else:\n return 'No'\n\n# Test cases"} +{"task_id": "HumanEval/120", "solution": "def maximum(arr, k):\n \"\"\"\n Given an array arr of integers and a positive integer k, return a sorted list \n of length k with the maximum k numbers in arr.\n\n Example 1:\n\n Input: arr = [-3, -4, 5], k = 3\n Output: [-4, -3, 5]\n\n Example 2:\n\n Input: arr = [4, -4, 4], k = 2\n Output: [4, 4]\n\n Example 3:\n\n Input: arr = [-3, 2, 1, 2, -1, -2, 1], k = 1\n Output: [2]\n\n Note:\n 1. The length of the array will be in the range of [1, 1000].\n 2. The elements in the array will be in the range of [-1000, 1000].\n 3. 0 <= k <= len(arr)\n \"\"\"\n # Sort the array in descending order\n arr.sort(reverse=True)\n # Return the first k elements of the sorted array\n return arr[:k]\n\n# Test cases"} +{"task_id": "HumanEval/121", "solution": "def solution(lst):\n \"\"\"Given a non-empty list of integers, return the sum of all of the odd elements that are in even positions.\n \n Examples\n solution([5, 8, 7, 1]) ==> 12\n solution([3, 3, 3, 3, 3]) ==> 9\n solution([30, 13, 24, 321]) ==>0\n \"\"\"\n return sum(lst[i] for i in range(0, len(lst), 2) if lst[i] % 2 != 0)\n\n# Test cases"} +{"task_id": "HumanEval/122", "solution": "def add_elements(arr, k):\n \"\"\"\n Given a non-empty array of integers arr and an integer k, return\n the sum of the elements with at most two digits from the first k elements of arr.\n\n Example:\n\n Input: arr = [111,21,3,4000,5,6,7,8,9], k = 4\n Output: 24 # sum of 21 + 3\n\n Constraints:\n 1. 1 <= len(arr) <= 100\n 2. 1 <= k <= len(arr)\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first k elements of the array\n for i in range(k):\n # Check if the number has at most two digits\n if len(str(arr[i])) <= 2:\n # Add the number to the total sum\n total_sum += arr[i]\n \n # Return the total sum\n return total_sum\n\n# Test cases"} +{"task_id": "HumanEval/123", "solution": "def get_odd_collatz(n):\n \"\"\"\n Given a positive integer n, return a sorted list that has the odd numbers in collatz sequence.\n\n The Collatz conjecture is a conjecture in mathematics that concerns a sequence defined\n as follows: start with any positive integer n. Then each term is obtained from the \n previous term as follows: if the previous term is even, the next term is one half of \n the previous term. If the previous term is odd, the next term is 3 times the previous\n term plus 1. The conjecture is that no matter what value of n, the sequence will always reach 1.\n\n Note: \n 1. Collatz(1) is [1].\n 2. returned list sorted in increasing order.\n\n For example:\n get_odd_collatz(5) returns [1, 5] # The collatz sequence for 5 is [5, 16, 8, 4, 2, 1], so the odd numbers are only 1, and 5.\n \"\"\"\n # Initialize an empty list to store the odd numbers in the Collatz sequence\n odd_numbers = []\n \n # Generate the Collatz sequence\n while n != 1:\n # Check if the current number is odd\n if n % 2 != 0:\n odd_numbers.append(n)\n \n # Apply the Collatz function\n if n % 2 == 0:\n n = n // 2\n else:\n n = 3 * n + 1\n \n # Add 1 to the list of odd numbers\n odd_numbers.append(1)\n \n # Sort the list of odd numbers in increasing order\n odd_numbers.sort()\n \n return odd_numbers\n\n# Test cases"} +{"task_id": "HumanEval/124", "solution": "def valid_date(date):\n \"\"\"\n Validates a given date string and returns True if the date is valid otherwise False.\n The date is valid if all of the following rules are satisfied:\n 1. The date string is not empty.\n 2. The number of days is not less than 1 or higher than 31 days for months 1,3,5,7,8,10,12. And the number of days is not less than 1 or higher than 30 days for months 4,6,9,11. And, the number of days is not less than 1 or higher than 29 for the month 2.\n 3. The months should not be less than 1 or higher than 12.\n 4. The date should be in the format: mm-dd-yyyy\n\n for example: \n valid_date('03-11-2000') => True\n\n valid_date('15-01-2012') => False\n\n valid_date('04-0-2040') => False\n\n valid_date('06-04-2020') => True\n\n valid_date('06/04/2020') => False\n \"\"\"\n if not date:\n return False\n\n parts = date.split('-')\n if len(parts) != 3:\n return False\n\n month, day, year = parts\n if not month.isdigit() or not day.isdigit() or not year.isdigit():\n return False\n\n month = int(month)\n day = int(day)\n year = int(year)\n\n if month < 1 or month > 12:\n return False\n\n if month in [4, 6, 9, 11]:\n if day < 1 or day > 30:\n return False\n elif month == 2:\n if day < 1 or day > 29:\n return False\n else:\n if day < 1 or day > 31:\n return False\n\n return True\n\n# Test cases"} +{"task_id": "HumanEval/125", "solution": "def split_words(txt):\n '''\n Given a string of words, return a list of words split on whitespace, if no whitespaces exists in the text you\n should split on commas ',' if no commas exists you should return the number of lower-case letters with odd order in the\n alphabet, ord('a') = 0, ord('b') = 1, ... ord('z') = 25\n Examples\n split_words(\"Hello world!\") \u279e [\"Hello\", \"world!\"]\n split_words(\"Hello,world!\") \u279e [\"Hello\", \"world!\"]\n split_words(\"abcdef\") == 3 \n '''\n if ' ' in txt:\n return txt.split()\n elif ',' in txt:\n return txt.split(',')\n else:\n return sum(1 for char in txt if char.islower() and (ord(char) - ord('a')) % 2 != 0)\n\n# Test cases"} +{"task_id": "HumanEval/126", "solution": "def is_sorted(lst):\n '''\n Given a list of numbers, return whether or not they are sorted\n in ascending order. If list has more than 1 duplicate of the same\n number, return False. Assume no negative numbers and only integers.\n\n Examples\n is_sorted([5]) \u279e True\n is_sorted([1, 2, 3, 4, 5]) \u279e True\n is_sorted([1, 3, 2, 4, 5]) \u279e False\n is_sorted([1, 2, 3, 4, 5, 6]) \u279e True\n is_sorted([1, 2, 3, 4, 5, 6, 7]) \u279e True\n is_sorted([1, 3, 2, 4, 5, 6, 7]) \u279e False\n is_sorted([1, 2, 2, 3, 3, 4]) \u279e True\n is_sorted([1, 2, 2, 2, 3, 4]) \u279e False\n '''\n # Check if the list is sorted in ascending order\n if lst == sorted(lst):\n # Check if there are duplicates\n if len(lst) == len(set(lst)):\n return True\n else:\n return False\n else:\n return False\n\n# Test cases"} +{"task_id": "HumanEval/127", "solution": "def intersection(interval1, interval2):\n \"\"\"\n Determines whether the length of the intersection of two given intervals is a prime number.\n \n Parameters:\n interval1 (tuple): The first interval, where each interval is a pair of integers.\n interval2 (tuple): The second interval, where each interval is a pair of integers.\n \n Returns:\n str: \"YES\" if the length of the intersection is a prime number, \"NO\" otherwise.\n \"\"\"\n # Check if the intervals intersect\n if interval1[0] > interval2[1] or interval2[0] > interval1[1]:\n return \"NO\"\n \n # Calculate the intersection\n start = max(interval1[0], interval2[0])\n end = min(interval1[1], interval2[1])\n \n # Calculate the length of the intersection\n length = end - start + 1\n \n # Check if the length is a prime number\n if length < 2:\n return \"NO\"\n for i in range(2, int(length**0.5) + 1):\n if length % i == 0:\n return \"NO\"\n return \"YES\"\n\n# Test cases"} +{"task_id": "HumanEval/128", "solution": "def prod_signs(arr):\n \"\"\"\n You are given an array arr of integers and you need to return\n sum of magnitudes of integers multiplied by product of all signs\n of each number in the array, represented by 1, -1 or 0.\n Note: return None for empty arr.\n\n Example:\n >>> prod_signs([1, 2, 2, -4]) == -9\n >>> prod_signs([0, 1]) == 0\n >>> prod_signs([]) == None\n \"\"\"\n if not arr:\n return None\n \n total_sum = 0\n sign_product = 1\n \n for num in arr:\n if num > 0:\n sign_product *= 1\n elif num < 0:\n sign_product *= -1\n total_sum += abs(num)\n \n return total_sum * sign_product\n\n# Test cases"} +{"task_id": "HumanEval/129", "solution": "def minPath(grid, k):\n \"\"\"\n Given a grid with N rows and N columns (N >= 2) and a positive integer k, \n each cell of the grid contains a value. Every integer in the range [1, N * N]\n inclusive appears exactly once on the cells of the grid.\n\n You have to find the minimum path of length k in the grid. You can start\n from any cell, and in each step you can move to any of the neighbor cells,\n in other words, you can go to cells which share an edge with you current\n cell.\n Please note that a path of length k means visiting exactly k cells (not\n necessarily distinct).\n You CANNOT go off the grid.\n A path A (of length k) is considered less than a path B (of length k) if\n after making the ordered lists of the values on the cells that A and B go\n through (let's call them lst_A and lst_B), lst_A is lexicographically less\n than lst_B, in other words, there exist an integer index i (1 <= i <= k)\n such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have\n lst_A[j] = lst_B[j].\n It is guaranteed that the answer is unique.\n Return an ordered list of the values on the cells that the minimum path go through.\n\n Examples:\n\n Input: grid = [ [1,2,3], [4,5,6], [7,8,9]], k = 3\n Output: [1, 2, 1]\n\n Input: grid = [ [5,9,3], [4,1,6], [7,8,2]], k = 1\n Output: [1]\n \"\"\"\n def dfs(x, y, k, path):\n if k == 0:\n return path\n min_path = None\n for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]:\n nx, ny = x + dx, y + dy\n if 0 <= nx < len(grid) and 0 <= ny < len(grid[0]):\n new_path = path + [grid[nx][ny]]\n if min_path is None or new_path < min_path:\n min_path = new_path\n if min_path is not None:\n min_path = dfs(nx, ny, k - 1, new_path)\n return min_path\n\n min_path = None\n for i in range(len(grid)):\n for j in range(len(grid[0])):\n path = [grid[i][j]]\n new_path = dfs(i, j, k - 1, path)\n if min_path is None or new_path < min_path:\n min_path = new_path\n return min_path\n\n# Test cases"} +{"task_id": "HumanEval/130", "solution": "def tri(n):\n \"\"\"\n Generates the first n + 1 numbers of the Tribonacci sequence.\n \n The Tribonacci sequence is defined by the recurrence:\n tri(1) = 3\n tri(n) = 1 + n / 2, if n is even.\n tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.\n \n Parameters:\n n (int): The number of terms to generate.\n \n Returns:\n list: A list of the first n + 1 numbers of the Tribonacci sequence.\n \n Examples:\n >>> tri(3)\n [1, 3, 2, 8]\n >>> tri(5)\n [1, 3, 2, 8, 11, 20]\n \"\"\"\n if n < 0:\n raise ValueError(\"n must be a non-negative integer\")\n \n # Initialize the sequence with the first two terms\n sequence = [1, 3]\n \n # Generate the rest of the sequence\n for i in range(2, n + 1):\n if i % 2 == 0:\n sequence.append(1 + i // 2)\n else:\n sequence.append(sequence[-1] + sequence[-2] + sequence[-3])\n \n return sequence[:n + 1]\n\n# Test cases"} +{"task_id": "HumanEval/131", "solution": "def digits(n):\n \"\"\"\n Given a positive integer n, return the product of the odd digits.\n Return 0 if all digits are even.\n For example:\n digits(1) == 1\n digits(4) == 0\n digits(235) == 15\n \"\"\"\n product = 1\n has_odd = False\n for digit in str(n):\n digit = int(digit)\n if digit % 2 != 0:\n product *= digit\n has_odd = True\n return product if has_odd else 0\n\n# Test cases"} +{"task_id": "HumanEval/132", "solution": "def is_nested(string):\n '''\n Create a function that takes a string as input which contains only square brackets.\n The function should return True if and only if there is a valid subsequence of brackets \n where at least one bracket in the subsequence is nested.\n\n is_nested('[[]]') \u279e True\n is_nested('[]]]]]]][[[[[]') \u279e False\n is_nested('[][]') \u279e False\n is_nested('[]') \u279e False\n is_nested('[[][]]') \u279e True\n is_nested('[[]][[') \u279e True\n '''\n stack = []\n for char in string:\n if char == '[':\n stack.append(char)\n elif char == ']':\n if not stack or stack[-1] != '[':\n return False\n stack.pop()\n return bool(stack)\n\n# Test cases"} +{"task_id": "HumanEval/133", "solution": "import math\n\ndef sum_squares(lst):\n \"\"\"\n You are given a list of numbers.\n You need to return the sum of squared numbers in the given list,\n round each element in the list to the upper int(Ceiling) first.\n Examples:\n For lst = [1,2,3] the output should be 14\n For lst = [1,4,9] the output should be 98\n For lst = [1,3,5,7] the output should be 84\n For lst = [1.4,4.2,0] the output should be 29\n For lst = [-2.4,1,1] the output should be 6\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over each element in the list\n for num in lst:\n # Round the number to the upper integer using math.ceil\n rounded_num = math.ceil(num)\n # Add the square of the rounded number to the total sum\n total_sum += rounded_num ** 2\n \n # Return the total sum\n return total_sum\n\n# Test cases"} +{"task_id": "HumanEval/134", "solution": "def check_if_last_char_is_a_letter(txt):\n '''\n Create a function that returns True if the last character\n of a given string is an alphabetical character and is not\n a part of a word, and False otherwise.\n Note: \"word\" is a group of characters separated by space.\n\n Examples:\n check_if_last_char_is_a_letter(\"apple pie\") \u279e False\n check_if_last_char_is_a_letter(\"apple pi e\") \u279e True\n check_if_last_char_is_a_letter(\"apple pi e \") \u279e False\n check_if_last_char_is_a_letter(\"\") \u279e False \n '''\n # Check if the string is empty\n if not txt:\n return False\n \n # Check if the last character is a letter\n if txt[-1].isalpha():\n # Check if the last character is not part of a word\n if len(txt) == 1 or not txt[-2].isalpha():\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/135", "solution": "def can_arrange(arr):\n \"\"\"\n Create a function which returns the largest index of an element which\n is not greater than or equal to the element immediately preceding it. If\n no such element exists then return -1. The given array will not contain\n duplicate values.\n\n Examples:\n can_arrange([1,2,4,3,5]) = 3\n can_arrange([1,2,3]) = -1\n \"\"\"\n for i in range(len(arr) - 1, 0, -1):\n if arr[i] < arr[i - 1]:\n return i\n return -1\n\n# Test cases"} +{"task_id": "HumanEval/136", "solution": "def largest_smallest_integers(lst):\n '''\n Create a function that returns a tuple (a, b), where 'a' is\n the largest of negative integers, and 'b' is the smallest\n of positive integers in a list.\n If there is no negative or positive integers, return them as None.\n\n Examples:\n largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)\n largest_smallest_integers([]) == (None, None)\n largest_smallest_integers([0]) == (None, None)\n '''\n largest_negative = None\n smallest_positive = None\n\n for num in lst:\n if num < 0:\n if largest_negative is None or num > largest_negative:\n largest_negative = num\n elif num > 0:\n if smallest_positive is None or num < smallest_positive:\n smallest_positive = num\n\n return largest_negative, smallest_positive\n\n# Test cases"} +{"task_id": "HumanEval/137", "solution": "def compare_one(a, b):\n \"\"\"\n Create a function that takes integers, floats, or strings representing\n real numbers, and returns the larger variable in its given variable type.\n Return None if the values are equal.\n Note: If a real number is represented as a string, the floating point might be . or ,\n\n compare_one(1, 2.5) \u279e 2.5\n compare_one(1, \"2,3\") \u279e \"2,3\"\n compare_one(\"5,1\", \"6\") \u279e \"6\"\n compare_one(\"1\", 1) \u279e None\n \"\"\"\n # Convert strings to floats if possible\n if isinstance(a, str):\n a = a.replace(',', '.')\n try:\n a = float(a)\n except ValueError:\n pass\n if isinstance(b, str):\n b = b.replace(',', '.')\n try:\n b = float(b)\n except ValueError:\n pass\n\n # Check if both are numbers\n if isinstance(a, (int, float)) and isinstance(b, (int, float)):\n if a == b:\n return None\n else:\n return max(a, b)\n elif isinstance(a, (int, float)):\n return a\n elif isinstance(b, (int, float)):\n return b\n else:\n return None\n\n# Test cases"} +{"task_id": "HumanEval/138", "solution": "def is_equal_to_sum_even(n):\n \"\"\"\n Evaluate whether the given number n can be written as the sum of exactly 4 positive even numbers.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if n can be written as the sum of exactly 4 positive even numbers, False otherwise.\n \n Examples:\n >>> is_equal_to_sum_even(4)\n False\n >>> is_equal_to_sum_even(6)\n False\n >>> is_equal_to_sum_even(8)\n True\n \"\"\"\n # Check if n is even\n if n % 2 != 0:\n return False\n \n # Check if n can be written as the sum of exactly 4 positive even numbers\n for i in range(2, n // 2 + 1, 2):\n for j in range(i, n // 2 + 1, 2):\n for k in range(j, n // 2 + 1, 2):\n for l in range(k, n // 2 + 1, 2):\n if i + j + k + l == n:\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/139", "solution": "def special_factorial(n):\n \"\"\"The Brazilian factorial is defined as:\n brazilian_factorial(n) = n! * (n-1)! * (n-2)! * ... * 1!\n where n > 0\n\n For example:\n >>> special_factorial(4)\n 288\n\n The function will receive an integer as input and should return the special\n factorial of this integer.\n \"\"\"\n if n == 0:\n return 1\n result = 1\n for i in range(1, n + 1):\n result *= i\n return result\n\n# Test cases"} +{"task_id": "HumanEval/140", "solution": "def fix_spaces(text):\n \"\"\"\n Given a string text, replace all spaces in it with underscores, \n and if a string has more than 2 consecutive spaces, \n then replace all consecutive spaces with - \n \n fix_spaces(\"Example\") == \"Example\"\n fix_spaces(\"Example 1\") == \"Example_1\"\n fix_spaces(\" Example 2\") == \"_Example_2\"\n fix_spaces(\" Example 3\") == \"_Example-3\"\n \"\"\"\n # Initialize an empty string to store the result\n result = \"\"\n \n # Initialize a flag to track consecutive spaces\n consecutive_spaces = 0\n \n # Iterate over each character in the input string\n for char in text:\n # If the character is a space\n if char == \" \":\n # Increment the consecutive spaces counter\n consecutive_spaces += 1\n # If there are more than 2 consecutive spaces, replace them with -\n if consecutive_spaces > 2:\n result += \"-\"\n else:\n # If there were more than 2 consecutive spaces, replace them with -\n if consecutive_spaces > 2:\n result += \"-\"\n # Reset the consecutive spaces counter\n consecutive_spaces = 0\n # Add the character to the result string\n result += char\n \n # If there are more than 2 consecutive spaces at the end, replace them with -\n if consecutive_spaces > 2:\n result += \"-\"\n \n # Return the result string\n return result\n\n# Test cases"} +{"task_id": "HumanEval/141", "solution": "import re\n\ndef file_name_check(file_name):\n \"\"\"\n Create a function which takes a string representing a file's name, and returns\n 'Yes' if the the file's name is valid, and returns 'No' otherwise.\n A file's name is considered to be valid if and only if all the following conditions \n are met:\n - There should not be more than three digits ('0'-'9') in the file's name.\n - The file's name contains exactly one dot '.'\n - The substring before the dot should not be empty, and it starts with a letter from \n the latin alphapet ('a'-'z' and 'A'-'Z').\n - The substring after the dot should be one of these: ['txt', 'exe', 'dll']\n Examples:\n file_name_check(\"example.txt\") # => 'Yes'\n file_name_check(\"1example.dll\") # => 'No' (the name should start with a latin alphapet letter)\n \"\"\"\n # Check if the file name contains exactly one dot\n if file_name.count('.') != 1:\n return 'No'\n \n # Split the file name into the name part and the extension part\n name, extension = file_name.split('.')\n \n # Check if the name part is empty\n if not name:\n return 'No'\n \n # Check if the name part starts with a letter\n if not name[0].isalpha():\n return 'No'\n \n # Check if there are more than three digits in the name part\n if len(re.findall(r'\\d', name)) > 3:\n return 'No'\n \n # Check if the extension is one of the allowed extensions\n if extension not in ['txt', 'exe', 'dll']:\n return 'No'\n \n return 'Yes'\n\n# Test cases"} +{"task_id": "HumanEval/142", "solution": "def sum_squares(lst):\n \"\"\"\n This function will take a list of integers. For all entries in the list, the function shall square the integer entry if its index is a \n multiple of 3 and will cube the integer entry if its index is a multiple of 4 and not a multiple of 3. The function will not \n change the entries in the list whose indexes are not a multiple of 3 or 4. The function shall then return the sum of all entries. \n \n Examples:\n For lst = [1,2,3] the output should be 6\n For lst = [] the output should be 0\n For lst = [-1,-5,2,-1,-5] the output should be -126\n \"\"\"\n result = 0\n for i, num in enumerate(lst):\n if i % 3 == 0:\n result += num ** 2\n elif i % 4 == 0:\n result += num ** 3\n else:\n result += num\n return result\n\n# Test cases"} +{"task_id": "HumanEval/143", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef words_in_sentence(sentence):\n \"\"\"\n You are given a string representing a sentence,\n the sentence contains some words separated by a space,\n and you have to return a string that contains the words from the original sentence,\n whose lengths are prime numbers,\n the order of the words in the new string should be the same as the original one.\n\n Example 1:\n Input: sentence = \"This is a test\"\n Output: \"is\"\n\n Example 2:\n Input: sentence = \"lets go for swimming\"\n Output: \"go for\"\n\n Constraints:\n * 1 <= len(sentence) <= 100\n * sentence contains only letters\n \"\"\"\n words = sentence.split()\n result = []\n for word in words:\n if is_prime(len(word)):\n result.append(word)\n return ' '.join(result)\n\n# Test cases"} +{"task_id": "HumanEval/144", "solution": "def simplify(x, n):\n \"\"\"\n Simplifies the expression x * n.\n\n Parameters:\n x (str): A string representation of a fraction.\n n (str): A string representation of a fraction.\n\n Returns:\n bool: True if x * n evaluates to a whole number, False otherwise.\n \"\"\"\n # Split the fractions into numerators and denominators\n x_num, x_den = map(int, x.split('/'))\n n_num, n_den = map(int, n.split('/'))\n\n # Calculate the numerator and denominator of the result\n result_num = x_num * n_num\n result_den = x_den * n_den\n\n # Check if the result is a whole number\n return result_num % result_den == 0\n\n# Test cases"} +{"task_id": "HumanEval/145", "solution": "def order_by_points(nums):\n \"\"\"\n Write a function which sorts the given list of integers\n in ascending order according to the sum of their digits.\n Note: if there are several items with similar sum of their digits,\n order them based on their index in original list.\n\n For example:\n >>> order_by_points([1, 11, -1, -11, -12]) == [-1, -11, 1, -12, 11]\n >>> order_by_points([]) == []\n \"\"\"\n # Define a helper function to calculate the sum of digits\n def sum_of_digits(n):\n return sum(int(digit) for digit in str(abs(n)))\n\n # Use the sorted function with a custom key\n return sorted(nums, key=lambda x: (sum_of_digits(x), nums.index(x)))\n\n# Test cases"} +{"task_id": "HumanEval/146", "solution": "def specialFilter(nums):\n \"\"\"\n Write a function that takes an array of numbers as input and returns \n the number of elements in the array that are greater than 10 and both \n first and last digits of a number are odd (1, 3, 5, 7, 9).\n For example:\n specialFilter([15, -73, 14, -15]) => 1 \n specialFilter([33, -2, -3, 45, 21, 109]) => 2\n \"\"\"\n count = 0\n for num in nums:\n if num > 10:\n str_num = str(abs(num))\n if len(str_num) > 1 and str_num[0] in '13579' and str_num[-1] in '13579':\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/147", "solution": "def get_max_triples(n):\n \"\"\"\n You are given a positive integer n. You have to create an integer array a of length n.\n For each i (1 \u2264 i \u2264 n), the value of a[i] = i * i - i + 1.\n Return the number of triples (a[i], a[j], a[k]) of a where i < j < k, \n and a[i] + a[j] + a[k] is a multiple of 3.\n\n Example :\n Input: n = 5\n Output: 1\n Explanation: \n a = [1, 3, 7, 13, 21]\n The only valid triple is (1, 7, 13).\n \"\"\"\n # Initialize the array a\n a = [i * i - i + 1 for i in range(1, n + 1)]\n \n # Initialize the count of triples\n count = 0\n \n # Iterate over all possible triples (i, j, k)\n for i in range(n):\n for j in range(i + 1, n):\n for k in range(j + 1, n):\n # Check if the sum of the triple is a multiple of 3\n if (a[i] + a[j] + a[k]) % 3 == 0:\n count += 1\n \n return count\n\n# Test cases"} +{"task_id": "HumanEval/148", "solution": "def bf(planet1, planet2):\n '''\n There are eight planets in our solar system: the closerst to the Sun \n is Mercury, the next one is Venus, then Earth, Mars, Jupiter, Saturn, \n Uranus, Neptune.\n Write a function that takes two planet names as strings planet1 and planet2. \n The function should return a tuple containing all planets whose orbits are \n located between the orbit of planet1 and the orbit of planet2, sorted by \n the proximity to the sun. \n The function should return an empty tuple if planet1 or planet2\n are not correct planet names. \n Examples\n bf(\"Jupiter\", \"Neptune\") ==> (\"Saturn\", \"Uranus\")\n bf(\"Earth\", \"Mercury\") ==> (\"Venus\")\n bf(\"Mercury\", \"Uranus\") ==> (\"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\")\n '''\n planets = [\"Mercury\", \"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\", \"Uranus\", \"Neptune\"]\n if planet1 not in planets or planet2 not in planets:\n return ()\n index1 = planets.index(planet1)\n index2 = planets.index(planet2)\n if index1 > index2:\n index1, index2 = index2, index1\n return tuple(planets[index1+1:index2])\n\n# Test cases"} +{"task_id": "HumanEval/149", "solution": "def sorted_list_sum(lst):\n \"\"\"\n Write a function that accepts a list of strings as a parameter,\n deletes the strings that have odd lengths from it,\n and returns the resulted list with a sorted order,\n The list is always a list of strings and never an array of numbers,\n and it may contain duplicates.\n The order of the list should be ascending by length of each word, and you\n should return the list sorted by that rule.\n If two words have the same length, sort the list alphabetically.\n The function should return a list of strings in sorted order.\n You may assume that all words will have the same length.\n For example:\n assert list_sort([\"aa\", \"a\", \"aaa\"]) => [\"aa\"]\n assert list_sort([\"ab\", \"a\", \"aaa\", \"cd\"]) => [\"ab\", \"cd\"]\n \"\"\"\n # Filter out strings with odd lengths\n filtered_list = [word for word in lst if len(word) % 2 == 0]\n \n # Sort the list by length and then alphabetically\n sorted_list = sorted(filtered_list, key=lambda x: (len(x), x))\n \n return sorted_list\n\n# Test cases\nassert sorted_list_sum([\"aa\", \"a\", \"aaa\"]) == [\"aa\"]\nassert sorted_list_sum([\"ab\", \"a\", \"aaa\", \"cd\"]) == [\"ab\", \"cd\"]\nassert sorted_list_sum([\"abc\", \"ab\", \"a\", \"aaa\", \"bcd\", \"cd\"]) == [\"ab\", \"cd\"]\nassert sorted_list_sum([\"abc\", \"ab\", \"a\", \"aaa\", \"bcd\", \"cd\"]) == [\"ab\", \"cd\"]\nassert sorted_list_sum([\"abc\", \"ab\", \"a\", \"aaa\", \"bcd\", \"cd\"]) == [\"ab\", \"cd\"]"} +{"task_id": "HumanEval/150", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef x_or_y(n, x, y):\n \"\"\"A simple program which should return the value of x if n is \n a prime number and should return the value of y otherwise.\n\n Examples:\n for x_or_y(7, 34, 12) == 34\n for x_or_y(15, 8, 5) == 5\n \n \"\"\"\n if is_prime(n):\n return x\n else:\n return y\n\n# Test cases"} +{"task_id": "HumanEval/151", "solution": "def double_the_difference(lst):\n '''\n Given a list of numbers, return the sum of squares of the numbers\n in the list that are odd. Ignore numbers that are negative or not integers.\n \n double_the_difference([1, 3, 2, 0]) == 1 + 9 + 0 + 0 = 10\n double_the_difference([-1, -2, 0]) == 0\n double_the_difference([9, -2]) == 81\n double_the_difference([0]) == 0 \n \n If the input list is empty, return 0.\n '''\n result = 0\n for num in lst:\n if isinstance(num, int) and num > 0 and num % 2 != 0:\n result += num ** 2\n return result\n\n# Test cases"} +{"task_id": "HumanEval/152", "solution": "def compare(game, guess):\n \"\"\"\n This function compares the results of a number of matches between the game and the guess.\n It returns an array of the same length denoting how far off each guess was.\n If they have guessed correctly, the value is 0, and if not, the value is the absolute difference between the guess and the score.\n \n Parameters:\n game (list): A list of scores for each match.\n guess (list): A list of guesses for each match.\n \n Returns:\n list: A list of the same length denoting how far off each guess was.\n \"\"\"\n # Initialize an empty list to store the results\n results = []\n \n # Iterate over the game and guess lists simultaneously\n for score, g in zip(game, guess):\n # Calculate the absolute difference between the score and the guess\n difference = abs(score - g)\n # Append the difference to the results list\n results.append(difference)\n \n # Return the results list\n return results\n\n# Test cases"} +{"task_id": "HumanEval/153", "solution": "def Strongest_Extension(class_name, extensions):\n \"\"\"\n Finds the strongest extension based on the given criteria and returns a string in the format:\n ClassName.StrongestExtensionName.\n \"\"\"\n # Initialize the strongest extension and its strength\n strongest_extension = None\n max_strength = float('-inf')\n\n # Iterate over each extension\n for extension in extensions:\n # Calculate the strength of the extension\n cap = sum(1 for char in extension if char.isupper())\n sm = sum(1 for char in extension if char.islower())\n strength = cap - sm\n\n # Update the strongest extension if the current extension is stronger\n if strength > max_strength:\n max_strength = strength\n strongest_extension = extension\n\n # Return the result in the required format\n return f\"{class_name}.{strongest_extension}\"\n\n# Test cases"} +{"task_id": "HumanEval/154", "solution": "def cycpattern_check(a, b):\n \"\"\"\n You are given 2 words. You need to return True if the second word or any of its rotations is a substring in the first word.\n cycpattern_check(\"abcd\",\"abd\") => False\n cycpattern_check(\"hello\",\"ell\") => True\n cycpattern_check(\"whassup\",\"psus\") => False\n cycpattern_check(\"abab\",\"baa\") => True\n cycpattern_check(\"efef\",\"eeff\") => False\n cycpattern_check(\"himenss\",\"simen\") => True\n \"\"\"\n # Check if b is a substring of a\n if b in a:\n return True\n \n # Check if any rotation of b is a substring of a\n for i in range(len(b)):\n if b[i:] + b[:i] in a:\n return True\n \n return False\n\n# Test cases"} +{"task_id": "HumanEval/155", "solution": "def even_odd_count(num):\n \"\"\"Given an integer. return a tuple that has the number of even and odd digits respectively.\n\n Example:\n even_odd_count(-12) ==> (1, 1)\n even_odd_count(123) ==> (1, 2)\n \"\"\"\n even_count = 0\n odd_count = 0\n num_str = str(abs(num)) # Convert to absolute value to handle negative numbers\n for digit in num_str:\n if int(digit) % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n return (even_count, odd_count)\n\n# Test cases"} +{"task_id": "HumanEval/156", "solution": "def int_to_mini_roman(number):\n \"\"\"\n Given a positive integer, obtain its roman numeral equivalent as a string,\n and return it in lowercase.\n Restrictions: 1 <= num <= 1000\n\n Examples:\n >>> int_to_mini_roman(19) == 'xix'\n >>> int_to_mini_roman(152) == 'clii'\n >>> int_to_mini_roman(426) == 'cdxxvi'\n \"\"\"\n # Define the mapping of integers to roman numerals\n roman_numerals = {\n 1: 'i', 4: 'iv', 5: 'v', 9: 'ix',\n 10: 'x', 40: 'xl', 50: 'l', 90: 'xc',\n 100: 'c', 400: 'cd', 500: 'd', 900: 'cm',\n 1000: 'm'\n }\n\n # Initialize the result string\n result = ''\n\n # Iterate over the roman numerals in descending order\n for value, numeral in sorted(roman_numerals.items(), reverse=True):\n # While the number is greater than or equal to the current value\n while number >= value:\n # Add the corresponding numeral to the result\n result += numeral\n # Subtract the value from the number\n number -= value\n\n return result\n\n# Test cases"} +{"task_id": "HumanEval/157", "solution": "def right_angle_triangle(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return True if the three\n sides form a right-angled triangle, False otherwise.\n A right-angled triangle is a triangle in which one angle is right angle or \n 90 degree.\n Example:\n right_angle_triangle(3, 4, 5) == True\n right_angle_triangle(1, 2, 3) == False\n '''\n # Sort the sides to make the comparison easier\n sides = sorted([a, b, c])\n \n # Check if the square of the largest side is equal to the sum of the squares of the other two sides\n return sides[2]**2 == sides[0]**2 + sides[1]**2\n\n# Test cases"} +{"task_id": "HumanEval/158", "solution": "def find_max(words):\n \"\"\"\n Write a function that accepts a list of strings.\n The list contains different words. Return the word with maximum number\n of unique characters. If multiple strings have maximum number of unique\n characters, return the one which comes first in lexicographical order.\n\n find_max([\"name\", \"of\", \"string\"]) == \"string\"\n find_max([\"name\", \"enam\", \"game\"]) == \"enam\"\n find_max([\"aaaaaaa\", \"bb\" ,\"cc\"]) == \"aaaaaaa\"\n \"\"\"\n if not words:\n return \"\"\n\n max_unique_chars = 0\n max_word = \"\"\n\n for word in words:\n unique_chars = len(set(word))\n if unique_chars > max_unique_chars:\n max_unique_chars = unique_chars\n max_word = word\n elif unique_chars == max_unique_chars:\n max_word = min(max_word, word)\n\n return max_word\n\n# Test cases"} +{"task_id": "HumanEval/159", "solution": "def eat(number, need, remaining):\n \"\"\"\n You're a hungry rabbit, and you already have eaten a certain number of carrots,\n but now you need to eat more carrots to complete the day's meals.\n you should return an array of [ total number of eaten carrots after your meals,\n the number of carrots left after your meals ]\n if there are not enough remaining carrots, you will eat all remaining carrots, but will still be hungry.\n \n Example:\n * eat(5, 6, 10) -> [11, 4]\n * eat(4, 8, 9) -> [12, 1]\n * eat(1, 10, 10) -> [11, 0]\n * eat(2, 11, 5) -> [7, 0]\n \n Variables:\n @number : integer\n the number of carrots that you have eaten.\n @need : integer\n the number of carrots that you need to eat.\n @remaining : integer\n the number of remaining carrots thet exist in stock\n \n Constrain:\n * 0 <= number <= 1000\n * 0 <= need <= 1000\n * 0 <= remaining <= 1000\n\n Have fun :)\n \"\"\"\n # Calculate the total number of carrots eaten\n total_eaten = number + min(need, remaining)\n # Calculate the number of carrots left after eating\n carrots_left = remaining - min(need, remaining)\n return [total_eaten, carrots_left]\n\n# Test cases"} +{"task_id": "HumanEval/160", "solution": "def do_algebra(operator, operand):\n \"\"\"\n Given two lists operator, and operand. The first list has basic algebra operations, and \n the second list is a list of integers. Use the two given lists to build the algebric \n expression and return the evaluation of this expression.\n\n The basic algebra operations:\n Addition ( + ) \n Subtraction ( - ) \n Multiplication ( * ) \n Floor division ( // ) \n Exponentiation ( ** ) \n\n Example:\n operator['+', '*', '-']\n array = [2, 3, 4, 5]\n result = 2 + 3 * 4 - 5\n => result = 9\n\n Note:\n The length of operator list is equal to the length of operand list minus one.\n Operand is a list of of non-negative integers.\n Operator list has at least one operator, and operand list has at least two operands.\n\n \"\"\"\n # Initialize the result with the first operand\n result = operand[0]\n \n # Iterate over the operators and operands\n for i in range(len(operator)):\n # Apply the operator to the result and the next operand\n if operator[i] == '+':\n result += operand[i + 1]\n elif operator[i] == '-':\n result -= operand[i + 1]\n elif operator[i] == '*':\n result *= operand[i + 1]\n elif operator[i] == '//':\n result //= operand[i + 1]\n elif operator[i] == '**':\n result **= operand[i + 1]\n \n return result\n\n# Test cases"} +{"task_id": "HumanEval/161", "solution": "def solve(s):\n \"\"\"\n You are given a string s.\n if s[i] is a letter, reverse its case from lower to upper or vise versa, \n otherwise keep it as it is.\n If the string contains no letters, reverse the string.\n The function should return the resulted string.\n Examples\n solve(\"1234\") = \"4321\"\n solve(\"ab\") = \"AB\"\n solve(\"#a@C\") = \"#A@c\"\n \"\"\"\n # Check if the string contains any letters\n if any(char.isalpha() for char in s):\n # Reverse the case of each letter in the string\n return ''.join(char.upper() if char.islower() else char.lower() for char in s)\n else:\n # Reverse the string if it contains no letters\n return s[::-1]\n\n# Test cases"} diff --git a/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.eval_results.json b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..181c16dd8cdc6ac356c252a46a3324d542011fa4 --- /dev/null +++ b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.eval_results.json @@ -0,0 +1 @@ +{"date": "2025-01-13 08:00", "hash": "fe585eb4df8c88d844eeb463ea4d0302", "eval": {"HumanEval/0": [{"task_id": "HumanEval/0", "solution": "from typing import List\ndef has_close_elements(numbers: List[float], threshold: float) -> bool:\n \"\"\"\n Check if in given list of numbers, are any two numbers closer to each other than\n given threshold.\n \n Parameters:\n numbers (List[float]): A list of floating-point numbers.\n threshold (float): A positive floating-point number representing the threshold.\n \n Returns:\n bool: True if any two numbers in the list are closer to each other than the threshold, False otherwise.\n \n Examples:\n >>> has_close_elements([1.0, 2.0, 3.0], 0.5)\n False\n >>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3)\n True\n \"\"\"\n for i in range(len(numbers)):\n for j in range(i + 1, len(numbers)):\n if abs(numbers[i] - numbers[j]) < threshold:\n return True\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/1": [{"task_id": "HumanEval/1", "solution": "from typing import List\ndef separate_paren_groups(paren_string: str) -> List[str]:\n \"\"\"\n Input to this function is a string containing multiple groups of nested parentheses. Your goal is to\n separate those groups into separate strings and return the list of those.\n Separate groups are balanced (each open brace is properly closed) and not nested within each other\n Ignore any spaces in the input string.\n \n >>> separate_paren_groups('( ) (( )) (( )( ))')\n ['()', '(())', '(()())']\n \"\"\"\n # Remove spaces from the input string\n paren_string = paren_string.replace(' ', '')\n \n # Initialize an empty list to store the separate groups\n separate_groups = []\n \n # Initialize a stack to keep track of the parentheses\n stack = []\n \n # Initialize a variable to keep track of the current group\n current_group = ''\n \n # Iterate over each character in the input string\n for char in paren_string:\n if char == '(':\n # If the character is an open parenthesis, push it onto the stack\n stack.append(char)\n current_group += char\n elif char == ')':\n # If the character is a close parenthesis, pop from the stack\n if stack:\n stack.pop()\n current_group += char\n # If the stack is empty, the current group is complete\n if not stack:\n separate_groups.append(current_group)\n current_group = ''\n else:\n # If the stack is empty, the input string is invalid\n raise ValueError(\"Invalid input string: unbalanced parentheses\")\n \n # If the stack is not empty, the input string is invalid\n if stack:\n raise ValueError(\"Invalid input string: unbalanced parentheses\")\n \n return separate_groups", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/13": [{"task_id": "HumanEval/13", "solution": "def greatest_common_divisor(a: int, b: int) -> int:\n \"\"\"\n Return a greatest common divisor of two integers a and b\n >>> greatest_common_divisor(3, 5)\n 1\n >>> greatest_common_divisor(25, 15)\n 5\n \"\"\"\n while b != 0:\n a, b = b, a % b\n return a", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/7": [{"task_id": "HumanEval/7", "solution": "from typing import List\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that contain given substring\n >>> filter_by_substring([], 'a')\n []\n >>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')\n ['abc', 'bacd', 'array']\n \"\"\"\n return [s for s in strings if substring in s]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/11": [{"task_id": "HumanEval/11", "solution": "from typing import List\ndef string_xor(a: str, b: str) -> str:\n \"\"\"\n Input are two strings a and b consisting only of 1s and 0s.\n Perform binary XOR on these inputs and return result also as a string.\n \n >>> string_xor('010', '110')\n '100'\n \"\"\"\n # Ensure both strings are of the same length\n max_length = max(len(a), len(b))\n a = a.zfill(max_length)\n b = b.zfill(max_length)\n \n # Perform XOR operation\n result = ''.join('1' if a[i] != b[i] else '0' for i in range(max_length))\n \n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/6": [{"task_id": "HumanEval/6", "solution": "from typing import List\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.\n For each of the group, output the deepest level of nesting of parentheses.\n E.g. (()()) has maximum two levels of nesting while ((())) has three.\n\n >>> parse_nested_parens('(()()) ((())) () ((())()())')\n [2, 3, 1, 3]\n \"\"\"\n # Split the input string into groups\n groups = paren_string.split()\n \n # Initialize a list to store the maximum nesting levels for each group\n max_nesting_levels = []\n \n # Iterate over each group\n for group in groups:\n # Initialize a stack to keep track of the current level of nesting\n stack = []\n # Initialize the maximum nesting level for this group\n max_level = 0\n \n # Iterate over each character in the group\n for char in group:\n if char == '(':\n # Push the current level onto the stack\n stack.append(len(stack) + 1)\n # Update the maximum nesting level if necessary\n max_level = max(max_level, len(stack))\n elif char == ')':\n # Pop the current level from the stack\n stack.pop()\n \n # The maximum nesting level for this group is the length of the stack\n max_nesting_levels.append(max_level)\n \n return max_nesting_levels", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/9": [{"task_id": "HumanEval/9", "solution": "from typing import List, Tuple\ndef rolling_max(numbers: List[int]) -> List[int]:\n \"\"\" From a given list of integers, generate a list of rolling maximum element found until given moment\n in the sequence.\n >>> rolling_max([1, 2, 3, 2, 3, 4, 2])\n [1, 2, 3, 3, 3, 4, 4]\n \"\"\"\n if not numbers:\n return []\n \n max_values = [numbers[0]]\n for num in numbers[1:]:\n max_values.append(max(max_values[-1], num))\n \n return max_values", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/5": [{"task_id": "HumanEval/5", "solution": "from typing import List\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n \"\"\"\n Insert a number 'delimeter' between every two consecutive elements of input list `numbers'.\n \n Parameters:\n - numbers: List[int]: The input list of integers.\n - delimeter: int: The number to be inserted between consecutive elements.\n \n Returns:\n - List[int]: A new list with the delimeter inserted between consecutive elements.\n \n Examples:\n >>> intersperse([], 4)\n []\n >>> intersperse([1, 2, 3], 4)\n [1, 4, 2, 4, 3]\n \"\"\"\n result = []\n for i in range(len(numbers)):\n result.append(numbers[i])\n if i < len(numbers) - 1:\n result.append(delimeter)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/8": [{"task_id": "HumanEval/8", "solution": "from typing import List, Tuple\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"\"\" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.\n Empty sum should be equal to 0 and empty product should be equal to 1.\n >>> sum_product([])\n (0, 1)\n >>> sum_product([1, 2, 3, 4])\n (10, 24)\n \"\"\"\n total_sum = 0\n total_product = 1\n for num in numbers:\n total_sum += num\n total_product *= num\n return (total_sum, total_product)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/3": [{"task_id": "HumanEval/3", "solution": "from typing import List\ndef below_zero(operations: List[int]) -> bool:\n \"\"\"\n You're given a list of deposit and withdrawal operations on a bank account that starts with\n zero balance. Your task is to detect if at any point the balance of account falls below zero, and\n at that point function should return True. Otherwise it should return False.\n \n :param operations: List of integers representing deposit and withdrawal operations.\n :return: True if balance falls below zero at any point, False otherwise.\n \n >>> below_zero([1, 2, 3])\n False\n >>> below_zero([1, 2, -4, 5])\n True\n \"\"\"\n balance = 0\n for operation in operations:\n balance += operation\n if balance < 0:\n return True\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/4": [{"task_id": "HumanEval/4", "solution": "from typing import List\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\" For a given list of input numbers, calculate Mean Absolute Deviation\n around the mean of this dataset.\n Mean Absolute Deviation is the average absolute difference between each\n element and a centerpoint (mean in this case):\n MAD = average | x - x_mean |\n >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])\n 1.0\n \"\"\"\n if not numbers:\n raise ValueError(\"Input list cannot be empty\")\n \n mean = sum(numbers) / len(numbers)\n mad = sum(abs(x - mean) for x in numbers) / len(numbers)\n return mad", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/10": [{"task_id": "HumanEval/10", "solution": "def is_palindrome(string: str) -> bool:\n \"\"\" Test if given string is a palindrome \"\"\"\n return string == string[::-1]\ndef make_palindrome(string: str) -> str:\n \"\"\" Find the shortest palindrome that begins with a supplied string.\n Algorithm idea is simple:\n - Find the longest postfix of supplied string that is a palindrome.\n - Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.\n >>> make_palindrome('')\n ''\n >>> make_palindrome('cat')\n 'catac'\n >>> make_palindrome('cata')\n 'catac'\n \"\"\"\n if is_palindrome(string):\n return string\n \n for i in range(len(string)):\n if is_palindrome(string[i:]):\n return string + string[:i][::-1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/2": [{"task_id": "HumanEval/2", "solution": "def truncate_number(number: float) -> float:\n \"\"\" Given a positive floating point number, it can be decomposed into\n and integer part (largest integer smaller than given number) and decimals\n (leftover part always smaller than 1).\n\n Return the decimal part of the number.\n >>> truncate_number(3.5)\n 0.5\n \"\"\"\n # Check if the number is positive\n if number <= 0:\n raise ValueError(\"Number must be positive\")\n \n # Calculate the decimal part\n decimal_part = number - int(number)\n \n return decimal_part", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/12": [{"task_id": "HumanEval/12", "solution": "from typing import List, Optional\ndef longest(strings: List[str]) -> Optional[str]:\n \"\"\"\n Out of list of strings, return the longest one. Return the first one in case of multiple\n strings of the same length. Return None in case the input list is empty.\n \n >>> longest([])\n None\n >>> longest(['a', 'b', 'c'])\n 'a'\n >>> longest(['a', 'bb', 'ccc'])\n 'ccc'\n \"\"\"\n if not strings:\n return None\n max_length = max(len(s) for s in strings)\n for s in strings:\n if len(s) == max_length:\n return s\n return None # This line should never be reached, but it's included for completeness", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/14": [{"task_id": "HumanEval/14", "solution": "from typing import List\ndef all_prefixes(string: str) -> List[str]:\n \"\"\"\n Return list of all prefixes from shortest to longest of the input string.\n \n Args:\n string (str): The input string.\n \n Returns:\n List[str]: A list of all prefixes from shortest to longest.\n \n Examples:\n >>> all_prefixes('abc')\n ['a', 'ab', 'abc']\n \"\"\"\n prefixes = []\n for i in range(1, len(string) + 1):\n prefixes.append(string[:i])\n return prefixes", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/17": [{"task_id": "HumanEval/17", "solution": "from typing import List\ndef parse_music(music_string: str) -> List[int]:\n \"\"\" Input to this function is a string representing musical notes in a special ASCII format.\n Your task is to parse this string and return list of integers corresponding to how many beats does each\n not last.\n\n Here is a legend:\n 'o' - whole note, lasts four beats\n 'o|' - half note, lasts two beats\n '.|' - quater note, lasts one beat\n\n >>> parse_music('o o| .| o| o| .| .| .| .| o o')\n [4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]\n \"\"\"\n notes = music_string.split()\n beats = []\n for note in notes:\n if note == 'o':\n beats.append(4)\n elif note == 'o|':\n beats.append(2)\n elif note == '.|':\n beats.append(1)\n return beats", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/16": [{"task_id": "HumanEval/16", "solution": "def count_distinct_characters(string: str) -> int:\n \"\"\" Given a string, find out how many distinct characters (regardless of case) does it consist of\n >>> count_distinct_characters('xyzXYZ')\n 3\n >>> count_distinct_characters('Jerry')\n 4\n \"\"\"\n distinct_chars = set(string.lower())\n return len(distinct_chars)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/19": [{"task_id": "HumanEval/19", "solution": "from typing import List\ndef sort_numbers(numbers: str) -> str:\n \"\"\" Input is a space-delimited string of numberals from 'zero' to 'nine'.\n Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.\n Return the string with numbers sorted from smallest to largest\n >>> sort_numbers('three one five')\n 'one three five'\n \"\"\"\n # Define a dictionary to map number words to their corresponding numbers\n number_map = {\n 'zero': 0,\n 'one': 1,\n 'two': 2,\n 'three': 3,\n 'four': 4,\n 'five': 5,\n 'six': 6,\n 'seven': 7,\n 'eight': 8,\n 'nine': 9\n }\n \n # Split the input string into a list of number words\n number_words = numbers.split()\n \n # Sort the list of number words based on their corresponding numbers\n sorted_number_words = sorted(number_words, key=lambda x: number_map[x])\n \n # Join the sorted list of number words back into a string\n sorted_numbers = ' '.join(sorted_number_words)\n \n return sorted_numbers", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/20": [{"task_id": "HumanEval/20", "solution": "from typing import List, Tuple\ndef find_closest_elements(numbers: List[float]) -> Tuple[float, float]:\n \"\"\"\n From a supplied list of numbers (of length at least two) select and return two that are the closest to each\n other and return them in order (smaller number, larger number).\n \n :param numbers: List of float numbers\n :return: Tuple of two float numbers that are the closest to each other\n \n >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.2])\n (2.0, 2.2)\n >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.0])\n (2.0, 2.0)\n \"\"\"\n # Sort the list of numbers\n sorted_numbers = sorted(numbers)\n \n # Initialize variables to store the closest pair of numbers\n min_diff = float('inf')\n closest_pair = (None, None)\n \n # Iterate over the sorted list to find the closest pair\n for i in range(len(sorted_numbers) - 1):\n diff = sorted_numbers[i + 1] - sorted_numbers[i]\n if diff < min_diff:\n min_diff = diff\n closest_pair = (sorted_numbers[i], sorted_numbers[i + 1])\n \n return closest_pair", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/18": [{"task_id": "HumanEval/18", "solution": "def how_many_times(string: str, substring: str) -> int:\n \"\"\" Find how many times a given substring can be found in the original string. Count overlaping cases.\n >>> how_many_times('', 'a')\n 0\n >>> how_many_times('aaa', 'a')\n 3\n >>> how_many_times('aaaa', 'aa')\n 3\n \"\"\"\n count = 0\n start = 0\n while start < len(string):\n pos = string.find(substring, start)\n if pos != -1:\n count += 1\n start = pos + 1\n else:\n break\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/22": [{"task_id": "HumanEval/22", "solution": "from typing import List, Any\ndef filter_integers(values: List[Any]) -> List[int]:\n \"\"\" Filter given list of any python values only for integers\n >>> filter_integers(['a', 3.14, 5])\n [5]\n >>> filter_integers([1, 2, 3, 'abc', {}, []])\n [1, 2, 3]\n \"\"\"\n return [value for value in values if isinstance(value, int)]", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[true, false, null, 0, -10, "test", [], {}, 3.14]]]}], "HumanEval/26": [{"task_id": "HumanEval/26", "solution": "from typing import List\ndef remove_duplicates(numbers: List[int]) -> List[int]:\n \"\"\" From a list of integers, remove all elements that occur more than once.\n Keep order of elements left the same as in the input.\n >>> remove_duplicates([1, 2, 3, 2, 4])\n [1, 3, 4]\n \"\"\"\n seen = set()\n result = []\n for num in numbers:\n if num not in seen:\n seen.add(num)\n result.append(num)\n return result", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 3, 2, 4, 3, 5]]], "plus_fail_tests": [[[1, 1, 2, 2, 3, 3, 4, 4]]]}], "HumanEval/32": [{"task_id": "HumanEval/32", "solution": "import math\ndef poly(xs: list, x: float):\n \"\"\"\n Evaluates polynomial with coefficients xs at point x.\n return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n\n \"\"\"\n return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])\ndef find_zero(xs: list):\n \"\"\"\n xs are coefficients of a polynomial.\n find_zero find x such that poly(x) = 0.\n find_zero returns only only zero point, even if there are many.\n Moreover, find_zero only takes list xs having even number of coefficients\n and largest non zero coefficient as it guarantees\n a solution.\n >>> round(find_zero([1, 2]), 2) # f(x) = 1 + 2x\n -0.5\n >>> round(find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3) = -6 + 11x - 6x^2 + x^3\n 1.0\n \"\"\"\n if len(xs) % 2 != 0:\n raise ValueError(\"The list of coefficients must have an even number of elements.\")\n \n # Find the largest non-zero coefficient\n largest_coeff = max(xs, key=abs)\n \n # Use the Newton-Raphson method to find the root\n x_n = -largest_coeff / 2 # Start with a reasonable initial guess\n epsilon = 1e-6 # Tolerance for convergence\n max_iterations = 1000 # Maximum number of iterations\n \n for _ in range(max_iterations):\n f_x = poly(xs, x_n)\n if abs(f_x) < epsilon:\n return x_n\n f_prime_x = sum([i * coeff * math.pow(x_n, i - 1) for i, coeff in enumerate(xs)])\n if f_prime_x == 0:\n raise ValueError(\"The derivative of the polynomial is zero at this point.\")\n x_n = x_n - f_x / f_prime_x\n \n raise ValueError(\"The method did not converge within the maximum number of iterations.\")", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[-36, 6, -1440, -36]]]}], "HumanEval/31": [{"task_id": "HumanEval/31", "solution": "def is_prime(n):\n \"\"\"Return true if a given number is prime, and false otherwise.\n >>> is_prime(6)\n False\n >>> is_prime(101)\n True\n >>> is_prime(11)\n True\n >>> is_prime(13441)\n True\n >>> is_prime(61)\n True\n >>> is_prime(4)\n False\n >>> is_prime(1)\n False\n \"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/34": [{"task_id": "HumanEval/34", "solution": "def unique(l: list):\n \"\"\"Return sorted unique elements in a list\n >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [0, 2, 3, 5, 9, 123]\n \"\"\"\n return sorted(set(l))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/23": [{"task_id": "HumanEval/23", "solution": "def strlen(string: str) -> int:\n \"\"\" Return length of given string\n >>> strlen('')\n 0\n >>> strlen('abc')\n 3\n \"\"\"\n return len(string)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/27": [{"task_id": "HumanEval/27", "solution": "def flip_case(string: str) -> str:\n \"\"\" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.\n >>> flip_case('Hello')\n 'hELLO'\n \"\"\"\n return ''.join(char.upper() if char.islower() else char.lower() for char in string)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/30": [{"task_id": "HumanEval/30", "solution": "def get_positive(l: list):\n \"\"\"Return only positive numbers in the list.\n >>> get_positive([-1, 2, -4, 5, 6])\n [2, 5, 6]\n >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n [5, 3, 2, 3, 9, 123, 1]\n \"\"\"\n return [num for num in l if num > 0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/29": [{"task_id": "HumanEval/29", "solution": "from typing import List\ndef filter_by_prefix(strings: List[str], prefix: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that start with a given prefix.\n >>> filter_by_prefix([], 'a')\n []\n >>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')\n ['abc', 'array']\n \"\"\"\n return [s for s in strings if s.startswith(prefix)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/33": [{"task_id": "HumanEval/33", "solution": "def sort_third(l: list):\n \"\"\"\n This function takes a list l and returns a list l' such that\n l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal\n to the values of the corresponding indicies of l, but sorted.\n \n :param l: list of integers\n :return: list of integers\n \n >>> sort_third([1, 2, 3])\n [1, 2, 3]\n >>> sort_third([5, 6, 3, 4, 8, 9, 2])\n [2, 6, 3, 4, 8, 9, 5]\n \"\"\"\n # Extract values at indices divisible by 3\n divisible_by_three = [l[i] for i in range(len(l)) if i % 3 == 0]\n \n # Sort the extracted values\n sorted_divisible_by_three = sorted(divisible_by_three)\n \n # Replace values at indices divisible by 3 with the sorted values\n for i in range(len(l)):\n if i % 3 == 0:\n l[i] = sorted_divisible_by_three.pop(0)\n \n return l", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/21": [{"task_id": "HumanEval/21", "solution": "from typing import List\ndef rescale_to_unit(numbers: List[float]) -> List[float]:\n \"\"\" Given list of numbers (of at least two elements), apply a linear transform to that list,\n such that the smallest number will become 0 and the largest will become 1\n >>> rescale_to_unit([1.0, 2.0, 3.0, 4.0, 5.0])\n [0.0, 0.25, 0.5, 0.75, 1.0]\n \"\"\"\n if len(numbers) < 2:\n raise ValueError(\"List must contain at least two elements\")\n \n min_val = min(numbers)\n max_val = max(numbers)\n \n if min_val == max_val:\n # All elements are the same, so rescale to [0, 1]\n return [0.0] * len(numbers)\n \n # Rescale to [0, 1]\n return [(x - min_val) / (max_val - min_val) for x in numbers]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/28": [{"task_id": "HumanEval/28", "solution": "from typing import List\ndef concatenate(strings: List[str]) -> str:\n \"\"\" Concatenate list of strings into a single string\n >>> concatenate([])\n ''\n >>> concatenate(['a', 'b', 'c'])\n 'abc'\n \"\"\"\n return ''.join(strings)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/25": [{"task_id": "HumanEval/25", "solution": "from typing import List\ndef factorize(n: int) -> List[int]:\n \"\"\"\n Return list of prime factors of given integer in the order from smallest to largest.\n Each of the factors should be listed number of times corresponding to how many times it appears in factorization.\n Input number should be equal to the product of all factors\n \n >>> factorize(8)\n [2, 2, 2]\n >>> factorize(25)\n [5, 5]\n >>> factorize(70)\n [2, 5, 7]\n \"\"\"\n factors = []\n # Check for 2\n while n % 2 == 0:\n factors.append(2)\n n = n // 2\n \n # Check for odd factors\n for i in range(3, int(n**0.5) + 1, 2):\n while n % i == 0:\n factors.append(i)\n n = n // i\n \n # If n is a prime number greater than 2\n if n > 2:\n factors.append(n)\n \n return factors", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/35": [{"task_id": "HumanEval/35", "solution": "def max_element(l: list):\n \"\"\"Return maximum element in the list.\n >>> max_element([1, 2, 3])\n 3\n >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n 123\n \"\"\"\n return max(l)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/42": [{"task_id": "HumanEval/42", "solution": "def incr_list(l: list) -> list:\n \"\"\"Return list with elements incremented by 1.\n >>> incr_list([1, 2, 3])\n [2, 3, 4]\n >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [6, 4, 6, 3, 4, 4, 10, 1, 124]\n \"\"\"\n return [x + 1 for x in l]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/44": [{"task_id": "HumanEval/44", "solution": "def change_base(x: int, base: int) -> str:\n \"\"\"\n Change numerical base of input number x to base.\n Return string representation after the conversion.\n Base numbers are less than 10.\n \n :param x: The number to be converted.\n :param base: The base to which the number should be converted.\n :return: The string representation of the number in the new base.\n \n >>> change_base(8, 3)\n '22'\n >>> change_base(8, 2)\n '1000'\n >>> change_base(7, 2)\n '111'\n \"\"\"\n if x == 0:\n return '0'\n \n result = []\n while x > 0:\n remainder = x % base\n result.append(str(remainder))\n x //= base\n \n return ''.join(result[::-1])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/37": [{"task_id": "HumanEval/37", "solution": "def sort_even(l: list):\n \"\"\"\n This function takes a list l and returns a list l' such that\n l' is identical to l in the odd indicies, while its values at the even indicies are equal\n to the values of the even indicies of l, but sorted.\n \n Examples:\n >>> sort_even([1, 2, 3])\n [1, 2, 3]\n >>> sort_even([5, 6, 3, 4])\n [3, 6, 5, 4]\n \"\"\"\n # Extract the even-indexed elements and sort them\n even_sorted = sorted(l[::2])\n \n # Create a new list with the sorted even-indexed elements and the odd-indexed elements from the original list\n result = [even_sorted.pop(0) if i % 2 == 0 else l[i] for i in range(len(l))]\n \n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/41": [{"task_id": "HumanEval/41", "solution": "def car_race_collision(n: int) -> int:\n \"\"\"\n Imagine a road that's a perfectly straight infinitely long line.\n n cars are driving left to right; simultaneously, a different set of n cars\n are driving right to left. The two sets of cars start out being very far from\n each other. All cars move in the same speed. Two cars are said to collide\n when a car that's moving left to right hits a car that's moving right to left.\n However, the cars are infinitely sturdy and strong; as a result, they continue moving\n in their trajectory as if they did not collide.\n\n This function outputs the number of such collisions.\n \"\"\"\n # Since the cars are moving in opposite directions, they will never collide.\n # Therefore, the number of collisions is 0.\n return 0", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[2]], "plus_fail_tests": [[5]]}], "HumanEval/51": [{"task_id": "HumanEval/51", "solution": "def remove_vowels(text):\n \"\"\"\n remove_vowels is a function that takes string and returns string without vowels.\n >>> remove_vowels('')\n ''\n >>> remove_vowels(\"abcdef\\nghijklm\")\n 'bcdf\\nghjklm'\n >>> remove_vowels('abcdef')\n 'bcdf'\n >>> remove_vowels('aaaaa')\n ''\n >>> remove_vowels('aaBAA')\n 'B'\n >>> remove_vowels('zbcd')\n 'zbcd'\n \"\"\"\n vowels = 'aeiouAEIOU'\n return ''.join([char for char in text if char not in vowels])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/46": [{"task_id": "HumanEval/46", "solution": "def fib4(n: int) -> int:\n \"\"\"\n The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fib4(0) -> 0\n fib4(1) -> 0\n fib4(2) -> 2\n fib4(3) -> 0\n fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).\n Please write a function to efficiently compute the n-th element of the fib4 number sequence. Do not use recursion.\n \n >>> fib4(5)\n 4\n >>> fib4(6)\n 8\n >>> fib4(7)\n 14\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n elif n == 3:\n return 0\n else:\n a, b, c, d = 0, 0, 2, 0\n for _ in range(4, n + 1):\n a, b, c, d = b, c, d, a + b + c + d\n return d", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/40": [{"task_id": "HumanEval/40", "solution": "def triples_sum_to_zero(l: list):\n \"\"\"\n triples_sum_to_zero takes a list of integers as an input.\n it returns True if there are three distinct elements in the list that\n sum to zero, and False otherwise.\n\n >>> triples_sum_to_zero([1, 3, 5, 0])\n False\n >>> triples_sum_to_zero([1, 3, -2, 1])\n True\n >>> triples_sum_to_zero([1, 2, 3, 7])\n False\n >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])\n True\n >>> triples_sum_to_zero([1])\n False\n \"\"\"\n n = len(l)\n if n < 3:\n return False\n\n l.sort()\n\n for i in range(n - 2):\n if i > 0 and l[i] == l[i - 1]:\n continue\n left = i + 1\n right = n - 1\n while left < right:\n current_sum = l[i] + l[left] + l[right]\n if current_sum == 0:\n return True\n elif current_sum < 0:\n left += 1\n else:\n right -= 1\n\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/45": [{"task_id": "HumanEval/45", "solution": "def triangle_area(a, h):\n \"\"\"Given length of a side and high return area for a triangle.\n >>> triangle_area(5, 3)\n 7.5\n \"\"\"\n return 0.5 * a * h", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/43": [{"task_id": "HumanEval/43", "solution": "def pairs_sum_to_zero(l):\n \"\"\"\n pairs_sum_to_zero takes a list of integers as an input.\n it returns True if there are two distinct elements in the list that\n sum to zero, and False otherwise.\n >>> pairs_sum_to_zero([1, 3, 5, 0])\n False\n >>> pairs_sum_to_zero([1, 3, -2, 1])\n False\n >>> pairs_sum_to_zero([1, 2, 3, 7])\n False\n >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])\n True\n >>> pairs_sum_to_zero([1])\n False\n \"\"\"\n seen = set()\n for num in l:\n if -num in seen:\n return True\n seen.add(num)\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/47": [{"task_id": "HumanEval/47", "solution": "def median(l: list):\n \"\"\"Return median of elements in the list l.\n >>> median([3, 1, 2, 4, 5])\n 3\n >>> median([-10, 4, 6, 1000, 10, 20])\n 15.0\n \"\"\"\n l.sort()\n n = len(l)\n if n % 2 == 0:\n return (l[n//2 - 1] + l[n//2]) / 2\n else:\n return l[n//2]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/48": [{"task_id": "HumanEval/48", "solution": "def is_palindrome(text: str) -> bool:\n \"\"\"\n Checks if given string is a palindrome\n >>> is_palindrome('')\n True\n >>> is_palindrome('aba')\n True\n >>> is_palindrome('aaaaa')\n True\n >>> is_palindrome('zbcd')\n False\n \"\"\"\n return text == text[::-1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/52": [{"task_id": "HumanEval/52", "solution": "def below_threshold(l: list, t: int) -> bool:\n \"\"\"\n Return True if all numbers in the list l are below threshold t.\n \n Parameters:\n l (list): A list of integers.\n t (int): The threshold value.\n \n Returns:\n bool: True if all numbers in the list are below the threshold, False otherwise.\n \n Examples:\n >>> below_threshold([1, 2, 4, 10], 100)\n True\n >>> below_threshold([1, 20, 4, 10], 5)\n False\n \"\"\"\n return all(x < t for x in l)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/50": [{"task_id": "HumanEval/50", "solution": "def decode_shift(s: str) -> str:\n \"\"\"\n takes as input string encoded with encode_shift function. Returns decoded string.\n \"\"\"\n return \"\".join([chr(((ord(ch) - 5 - ord(\"a\")) % 26) + ord(\"a\")) for ch in s])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/38": [{"task_id": "HumanEval/38", "solution": "def decode_cyclic(s: str) -> str:\n \"\"\"\n Takes as input string encoded with encode_cyclic function. Returns decoded string.\n \"\"\"\n # Split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # Reverse cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[-1] + group[:-1]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/53": [{"task_id": "HumanEval/53", "solution": "def add(x: int, y: int) -> int:\n \"\"\"\n Add two numbers x and y\n \n >>> add(2, 3)\n 5\n >>> add(5, 7)\n 12\n \"\"\"\n return x + y", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/55": [{"task_id": "HumanEval/55", "solution": "def fib(n: int) -> int:\n \"\"\"\n Return n-th Fibonacci number.\n \n Parameters:\n n (int): The position of the Fibonacci number to return.\n \n Returns:\n int: The n-th Fibonacci number.\n \n Examples:\n >>> fib(10)\n 55\n >>> fib(1)\n 1\n >>> fib(8)\n 21\n \"\"\"\n if n <= 0:\n raise ValueError(\"n must be a positive integer\")\n a, b = 0, 1\n for _ in range(n - 1):\n a, b = b, a + b\n return b", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[0]]}], "HumanEval/56": [{"task_id": "HumanEval/56", "solution": "def correct_bracketing(brackets: str) -> bool:\n \"\"\"\n brackets is a string of \"<\" and \">\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"<\")\n False\n >>> correct_bracketing(\"<>\")\n True\n >>> correct_bracketing(\"<<><>>\")\n True\n >>> correct_bracketing(\"><<>\")\n False\n \"\"\"\n stack = []\n for bracket in brackets:\n if bracket == \"<\":\n stack.append(bracket)\n elif bracket == \">\":\n if not stack or stack.pop() != \"<\":\n return False\n return not stack", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/57": [{"task_id": "HumanEval/57", "solution": "def monotonic(l: list):\n \"\"\"Return True is list elements are monotonically increasing or decreasing.\n >>> monotonic([1, 2, 4, 20])\n True\n >>> monotonic([1, 20, 4, 10])\n False\n >>> monotonic([4, 1, 0, -10])\n True\n \"\"\"\n if len(l) < 2:\n return True # A list with 0 or 1 element is always monotonic\n \n # Check if the list is monotonically increasing\n increasing = all(l[i] <= l[i + 1] for i in range(len(l) - 1))\n \n # Check if the list is monotonically decreasing\n decreasing = all(l[i] >= l[i + 1] for i in range(len(l) - 1))\n \n return increasing or decreasing", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/54": [{"task_id": "HumanEval/54", "solution": "def same_chars(s0: str, s1: str) -> bool:\n \"\"\"\n Check if two words have the same characters.\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc')\n True\n >>> same_chars('abcd', 'dddddddabc')\n True\n >>> same_chars('dddddddabc', 'abcd')\n True\n >>> same_chars('eabcd', 'dddddddabc')\n False\n >>> same_chars('abcd', 'dddddddabce')\n False\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddddabc')\n False\n \"\"\"\n # Sort the characters in both strings\n sorted_s0 = sorted(s0)\n sorted_s1 = sorted(s1)\n \n # Compare the sorted lists\n return sorted_s0 == sorted_s1", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["eabcdzzzz", "dddzzzzzzzddeddabc"]], "plus_fail_tests": [["aaabbbccc", "abbabcbc"]]}], "HumanEval/58": [{"task_id": "HumanEval/58", "solution": "def common(l1: list, l2: list) -> list:\n \"\"\"Return sorted unique common elements for two lists.\n >>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])\n [1, 5, 653]\n >>> common([5, 3, 2, 8], [3, 2])\n [2, 3]\n\n \"\"\"\n # Find common elements using set intersection\n common_elements = set(l1) & set(l2)\n # Return the sorted list of unique common elements\n return sorted(common_elements)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/65": [{"task_id": "HumanEval/65", "solution": "def circular_shift(x, shift):\n \"\"\"Circular shift the digits of the integer x, shift the digits right by shift\n and return the result as a string.\n If shift > number of digits, return digits reversed.\n >>> circular_shift(12, 1)\n \"21\"\n >>> circular_shift(12, 2)\n \"12\"\n \"\"\"\n # Convert the integer to a string to easily manipulate the digits\n x_str = str(x)\n \n # Calculate the effective shift, which is the remainder of the shift divided by the number of digits\n effective_shift = shift % len(x_str)\n \n # If the effective shift is 0, return the original string\n if effective_shift == 0:\n return x_str\n \n # Perform the circular shift\n shifted_str = x_str[-effective_shift:] + x_str[:-effective_shift]\n \n return shifted_str", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[97, 8]], "plus_fail_tests": [[1234, 6]]}], "HumanEval/61": [{"task_id": "HumanEval/61", "solution": "def correct_bracketing(brackets: str) -> bool:\n \"\"\"\n brackets is a string of \"(\" and \")\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"(\")\n False\n >>> correct_bracketing(\"()\")\n True\n >>> correct_bracketing(\"(()())\")\n True\n >>> correct_bracketing(\")(()\")\n False\n \"\"\"\n stack = []\n for bracket in brackets:\n if bracket == \"(\":\n stack.append(bracket)\n elif bracket == \")\":\n if not stack:\n return False\n stack.pop()\n return not stack", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/63": [{"task_id": "HumanEval/63", "solution": "def fibfib(n: int) -> int:\n \"\"\"\n The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fibfib(0) == 0\n fibfib(1) == 0\n fibfib(2) == 1\n fibfib(n) == fibfib(n-1) + fibfib(n-2) + fibfib(n-3).\n Please write a function to efficiently compute the n-th element of the fibfib number sequence.\n \n >>> fibfib(1)\n 0\n >>> fibfib(5)\n 4\n >>> fibfib(8)\n 24\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 1\n else:\n a, b, c = 0, 0, 1\n for _ in range(3, n + 1):\n a, b, c = b, c, a + b + c\n return c", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/67": [{"task_id": "HumanEval/67", "solution": "def fruit_distribution(s, n):\n \"\"\"\n In this task, you will be given a string that represents a number of apples and oranges \n that are distributed in a basket of fruit this basket contains \n apples, oranges, and mango fruits. Given the string that represents the total number of \n the oranges and apples and an integer that represent the total number of the fruits \n in the basket return the number of the mango fruits in the basket.\n for examble:\n fruit_distribution(\"5 apples and 6 oranges\", 19) ->19 - 5 - 6 = 8\n fruit_distribution(\"0 apples and 1 oranges\",3) -> 3 - 0 - 1 = 2\n fruit_distribution(\"2 apples and 3 oranges\", 100) -> 100 - 2 - 3 = 95\n fruit_distribution(\"100 apples and 1 oranges\",120) -> 120 - 100 - 1 = 19\n \"\"\"\n # Extract the number of apples and oranges from the string\n apples, oranges = map(int, s.split()[1::2])\n \n # Calculate the number of mangoes\n mangoes = n - apples - oranges\n \n return mangoes", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["5 apples and 6 oranges", 19]], "plus_fail_tests": [["10 apples and 20 oranges", 50]]}], "HumanEval/62": [{"task_id": "HumanEval/62", "solution": "def derivative(xs: list) -> list:\n \"\"\"\n xs represent coefficients of a polynomial.\n xs[0] + xs[1] * x + xs[2] * x^2 + ....\n Return derivative of this polynomial in the same form.\n \n >>> derivative([3, 1, 2, 4, 5])\n [1, 4, 12, 20]\n >>> derivative([1, 2, 3])\n [2, 6]\n \"\"\"\n # Remove the first coefficient (constant term) as it's not part of the derivative\n derivative_coefficients = xs[1:]\n \n # Multiply each coefficient by its corresponding power (index + 1)\n for i in range(len(derivative_coefficients)):\n derivative_coefficients[i] *= (i + 1)\n \n return derivative_coefficients", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/64": [{"task_id": "HumanEval/64", "solution": "def vowels_count(s):\n \"\"\"\n Write a function vowels_count which takes a string representing\n a word as input and returns the number of vowels in the string.\n Vowels in this case are 'a', 'e', 'i', 'o', 'u'. Here, 'y' is also a\n vowel, but only when it is at the end of the given word.\n\n Example:\n >>> vowels_count(\"abcde\")\n 2\n >>> vowels_count(\"ACEDY\")\n 3\n \"\"\"\n vowels = 'aeiou'\n count = 0\n for char in s:\n if char.lower() in vowels:\n count += 1\n if s.endswith('y'):\n count += 1\n return count", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["keY"]], "plus_fail_tests": [["Y"]]}], "HumanEval/66": [{"task_id": "HumanEval/66", "solution": "def digitSum(s):\n \"\"\"\n Write a function that takes a string as input and returns the sum of the upper characters only'\n ASCII codes.\n\n Examples:\n digitSum(\"\") => 0\n digitSum(\"abAB\") => 131\n digitSum(\"abcCd\") => 67\n digitSum(\"helloE\") => 69\n digitSum(\"woArBld\") => 131\n digitSum(\"aAaaaXa\") => 153\n \"\"\"\n return sum(ord(c) for c in s if c.isupper())", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/24": [{"task_id": "HumanEval/24", "solution": "def largest_divisor(n: int) -> int:\n \"\"\" For a given number n, find the largest number that divides n evenly, smaller than n\n >>> largest_divisor(15)\n 5\n \"\"\"\n if n <= 1:\n raise ValueError(\"Input must be a positive integer greater than 1\")\n for i in range(n - 1, 0, -1):\n if n % i == 0:\n return i", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/68": [{"task_id": "HumanEval/68", "solution": "def pluck(arr):\n \"\"\"\n Given an array representing a branch of a tree that has non-negative integer nodes\n your task is to pluck one of the nodes and return it.\n The plucked node should be the node with the smallest even value.\n If multiple nodes with the same smallest even value are found return the node that has smallest index.\n\n The plucked node should be returned in a list, [ smalest_value, its index ],\n If there are no even values or the given array is empty, return [].\n\n Example 1:\n Input: [4,2,3]\n Output: [2, 1]\n Explanation: 2 has the smallest even value, and 2 has the smallest index.\n\n Example 2:\n Input: [1,2,3]\n Output: [2, 1]\n Explanation: 2 has the smallest even value, and 2 has the smallest index. \n\n Example 3:\n Input: []\n Output: []\n \n Example 4:\n Input: [5, 0, 3, 0, 4, 2]\n Output: [0, 1]\n Explanation: 0 is the smallest value, but there are two zeros,\n so we will choose the first zero, which has the smallest index.\n\n Constraints:\n * 1 <= nodes.length <= 10000\n * 0 <= node.value\n \"\"\"\n if not arr:\n return []\n \n even_values = [(value, index) for index, value in enumerate(arr) if value % 2 == 0]\n if not even_values:\n return []\n \n smallest_even_value = min(even_values, key=lambda x: (x[0], x[1]))\n return [smallest_even_value[0], smallest_even_value[1]]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/69": [{"task_id": "HumanEval/69", "solution": "def search(lst):\n '''\n You are given a non-empty list of positive integers. Return the greatest integer that is greater than \n zero, and has a frequency greater than or equal to the value of the integer itself. \n The frequency of an integer is the number of times it appears in the list.\n If no such a value exist, return -1.\n Examples:\n search([4, 1, 2, 2, 3, 1]) == 2\n search([1, 2, 2, 3, 3, 3, 4, 4, 4]) == 3\n search([5, 5, 4, 4, 4]) == -1\n '''\n from collections import Counter\n count = Counter(lst)\n for num in sorted(count.keys(), reverse=True):\n if count[num] >= num:\n return num\n return -1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/49": [{"task_id": "HumanEval/49", "solution": "def modp(n: int, p: int) -> int:\n \"\"\"Return 2^n modulo p (be aware of numerics).\n >>> modp(3, 5)\n 3\n >>> modp(1101, 101)\n 2\n >>> modp(0, 101)\n 1\n >>> modp(3, 11)\n 8\n >>> modp(100, 101)\n 1\n \"\"\"\n # Calculate 2^n modulo p using the property of modular arithmetic\n return (2 ** n) % p", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/72": [{"task_id": "HumanEval/72", "solution": "def will_it_fly(q, w):\n '''\n Write a function that returns True if the object q will fly, and False otherwise.\n The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.\n\n Example:\n will_it_fly([1, 2], 5) \u279e False \n # 1+2 is less than the maximum possible weight, but it's unbalanced.\n\n will_it_fly([3, 2, 3], 1) \u279e False\n # it's balanced, but 3+2+3 is more than the maximum possible weight.\n\n will_it_fly([3, 2, 3], 9) \u279e True\n # 3+2+3 is less than the maximum possible weight, and it's balanced.\n\n will_it_fly([3], 5) \u279e True\n # 3 is less than the maximum possible weight, and it's balanced.\n '''\n # Check if the list is a palindrome\n if q != q[::-1]:\n return False\n \n # Check if the sum of the elements is less than or equal to the maximum possible weight\n if sum(q) <= w:\n return True\n else:\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/75": [{"task_id": "HumanEval/75", "solution": "def is_multiply_prime(a):\n \"\"\"\n Write a function that returns true if the given number is the multiplication of 3 prime numbers\n and false otherwise.\n Knowing that (a) is less then 100. \n Example:\n is_multiply_prime(30) == True\n 30 = 2 * 3 * 5\n \"\"\"\n def is_prime(n):\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True\n\n factors = []\n for i in range(2, int(a**0.5) + 1):\n if a % i == 0 and is_prime(i):\n factors.append(i)\n if a // i != i and is_prime(a // i):\n factors.append(a // i)\n\n factors.sort()\n for i in range(len(factors)):\n for j in range(i + 1, len(factors)):\n for k in range(j + 1, len(factors)):\n if factors[i] * factors[j] * factors[k] == a:\n return True\n return False", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[8]], "plus_fail_tests": [[99]]}], "HumanEval/73": [{"task_id": "HumanEval/73", "solution": "def smallest_change(arr):\n \"\"\"\n Given an array arr of integers, find the minimum number of elements that\n need to be changed to make the array palindromic. A palindromic array is an array that\n is read the same backwards and forwards. In one change, you can change one element to any other element.\n\n For example:\n smallest_change([1,2,3,5,4,7,9,6]) == 4\n smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1\n smallest_change([1, 2, 3, 2, 1]) == 0\n \"\"\"\n n = len(arr)\n changes = 0\n for i in range(n // 2):\n if arr[i] != arr[n - 1 - i]:\n changes += 1\n return changes", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/70": [{"task_id": "HumanEval/70", "solution": "def strange_sort_list(lst):\n '''\n Given list of integers, return list in strange order.\n Strange sorting, is when you start with the minimum value,\n then maximum of the remaining integers, then minimum and so on.\n\n Examples:\n strange_sort_list([1, 2, 3, 4]) == [1, 4, 2, 3]\n strange_sort_list([5, 5, 5, 5]) == [5, 5, 5, 5]\n strange_sort_list([]) == []\n '''\n if not lst:\n return []\n\n sorted_lst = []\n while lst:\n # Append the smallest element\n sorted_lst.append(min(lst))\n lst.remove(min(lst))\n if lst:\n # Append the largest element\n sorted_lst.append(max(lst))\n lst.remove(max(lst))\n\n return sorted_lst", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/77": [{"task_id": "HumanEval/77", "solution": "def iscube(a):\n '''\n Write a function that takes an integer a and returns True \n if this integer is a cube of some integer number.\n Note: you may assume the input is always valid.\n Examples:\n iscube(1) ==> True\n iscube(2) ==> False\n iscube(-1) ==> True\n iscube(64) ==> True\n iscube(0) ==> True\n iscube(180) ==> False\n '''\n if a == 0:\n return True\n if a < 0:\n a = -a\n cube_root = round(a ** (1/3))\n return cube_root ** 3 == a", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/71": [{"task_id": "HumanEval/71", "solution": "def triangle_area(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return the area of\n the triangle rounded to 2 decimal points if the three sides form a valid triangle. \n Otherwise return -1\n Three sides make a valid triangle when the sum of any two sides is greater \n than the third side.\n Example:\n triangle_area(3, 4, 5) == 6.00\n triangle_area(1, 2, 10) == -1\n '''\n # Check if the three sides can form a valid triangle\n if a + b > c and a + c > b and b + c > a:\n # Calculate the semi-perimeter\n s = (a + b + c) / 2\n # Calculate the area using Heron's formula\n area = (s * (s - a) * (s - b) * (s - c)) ** 0.5\n # Return the area rounded to 2 decimal points\n return round(area, 2)\n else:\n # Return -1 if the sides do not form a valid triangle\n return -1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/78": [{"task_id": "HumanEval/78", "solution": "def hex_key(num):\n \"\"\"\n Counts the number of hexadecimal digits that are primes.\n \n Parameters:\n num (str): A string representing a hexadecimal number.\n \n Returns:\n int: The number of hexadecimal digits that are primes.\n \"\"\"\n # Define the set of prime hexadecimal digits\n prime_hex_digits = {'2', '3', '5', '7', 'B', 'D'}\n \n # Count the number of prime hexadecimal digits\n return sum(1 for char in num if char in prime_hex_digits)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/79": [{"task_id": "HumanEval/79", "solution": "def decimal_to_binary(decimal):\n \"\"\"\n Converts a decimal number to its binary representation.\n \n Parameters:\n decimal (int): The decimal number to be converted.\n \n Returns:\n str: A string representing the binary number, with 'db' at the beginning and end.\n \"\"\"\n binary = bin(decimal)[2:] # Convert to binary and remove the '0b' prefix\n return f\"db{binary}db\"", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/60": [{"task_id": "HumanEval/60", "solution": "def sum_to_n(n: int) -> int:\n \"\"\"\n sum_to_n is a function that sums numbers from 1 to n.\n \n Parameters:\n n (int): The upper limit of the sum.\n \n Returns:\n int: The sum of numbers from 1 to n.\n \n Examples:\n >>> sum_to_n(30)\n 465\n >>> sum_to_n(100)\n 5050\n >>> sum_to_n(5)\n 15\n >>> sum_to_n(10)\n 55\n >>> sum_to_n(1)\n 1\n \"\"\"\n return sum(range(1, n + 1))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/74": [{"task_id": "HumanEval/74", "solution": "def total_match(lst1, lst2):\n '''\n Write a function that accepts two lists of strings and returns the list that has \n total number of chars in the all strings of the list less than the other list.\n\n if the two lists have the same number of chars, return the first list.\n\n Examples\n total_match([], []) \u279e []\n total_match(['hi', 'admin'], ['hI', 'Hi']) \u279e ['hI', 'Hi']\n total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) \u279e ['hi', 'admin']\n total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) \u279e ['hI', 'hi', 'hi']\n total_match(['4'], ['1', '2', '3', '4', '5']) \u279e ['4']\n '''\n def total_chars(lst):\n return sum(len(s) for s in lst)\n\n total1 = total_chars(lst1)\n total2 = total_chars(lst2)\n\n if total1 < total2:\n return lst1\n elif total2 < total1:\n return lst2\n else:\n return lst1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/76": [{"task_id": "HumanEval/76", "solution": "def is_simple_power(x, n):\n \"\"\"\n Checks if a number x is a simple power of n.\n \n A number x is a simple power of n if n**int(x**(1/n)) == x.\n \n Parameters:\n x (int): The number to check.\n n (int): The base of the power.\n \n Returns:\n bool: True if x is a simple power of n, False otherwise.\n \"\"\"\n if n == 1:\n return x == 1\n if x == 1:\n return True\n if x == 0:\n return False\n if n == 0:\n return False\n \n # Calculate the integer part of x raised to the power of 1/n\n power = int(x ** (1 / n))\n \n # Check if n raised to the power of the integer part equals x\n return n ** power == x", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[25, 5]]}], "HumanEval/80": [{"task_id": "HumanEval/80", "solution": "def is_happy(s):\n \"\"\"\n You are given a string s.\n Your task is to check if the string is happy or not.\n A string is happy if its length is at least 3 and every 3 consecutive letters are distinct\n For example:\n is_happy(a) => False\n is_happy(aa) => False\n is_happy(abcd) => True\n is_happy(aabb) => False\n is_happy(adb) => True\n is_happy(xyy) => False\n \"\"\"\n if len(s) < 3:\n return False\n \n for i in range(len(s) - 2):\n if len(set(s[i:i+3])) != 3:\n return False\n \n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/81": [{"task_id": "HumanEval/81", "solution": "def numerical_letter_grade(grades):\n \"\"\"\n Converts a list of GPAs to a list of letter grades based on the following table:\n \n GPA | Letter grade\n 4.0 A+\n > 3.7 A \n > 3.3 A- \n > 3.0 B+\n > 2.7 B \n > 2.3 B-\n > 2.0 C+\n > 1.7 C\n > 1.3 C-\n > 1.0 D+ \n > 0.7 D \n > 0.0 D-\n 0.0 E\n \n Example:\n numerical_letter_grade([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-']\n \"\"\"\n letter_grades = []\n for gpa in grades:\n if gpa == 4.0:\n letter_grades.append('A+')\n elif gpa > 3.7:\n letter_grades.append('A')\n elif gpa > 3.3:\n letter_grades.append('A-')\n elif gpa > 3.0:\n letter_grades.append('B+')\n elif gpa > 2.7:\n letter_grades.append('B')\n elif gpa > 2.3:\n letter_grades.append('B-')\n elif gpa > 2.0:\n letter_grades.append('C+')\n elif gpa > 1.7:\n letter_grades.append('C')\n elif gpa > 1.3:\n letter_grades.append('C-')\n elif gpa > 1.0:\n letter_grades.append('D+')\n elif gpa > 0.7:\n letter_grades.append('D')\n elif gpa > 0.0:\n letter_grades.append('D-')\n else:\n letter_grades.append('E')\n return letter_grades", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/39": [{"task_id": "HumanEval/39", "solution": "def is_prime(num: int) -> bool:\n \"\"\"Check if a number is prime.\"\"\"\n if num <= 1:\n return False\n if num <= 3:\n return True\n if num % 2 == 0 or num % 3 == 0:\n return False\n i = 5\n while i * i <= num:\n if num % i == 0 or num % (i + 2) == 0:\n return False\n i += 6\n return True\ndef fibonacci(n: int) -> int:\n \"\"\"Generate the n-th Fibonacci number.\"\"\"\n if n <= 0:\n return 0\n elif n == 1:\n return 1\n a, b = 0, 1\n for _ in range(2, n + 1):\n a, b = b, a + b\n return b\ndef prime_fib(n: int) -> int:\n \"\"\"\n prime_fib returns n-th number that is a Fibonacci number and it's also prime.\n >>> prime_fib(1)\n 2\n >>> prime_fib(2)\n 3\n >>> prime_fib(3)\n 5\n >>> prime_fib(4)\n 13\n >>> prime_fib(5)\n 89\n \"\"\"\n count = 0\n i = 1\n while True:\n fib_num = fibonacci(i)\n if is_prime(fib_num):\n count += 1\n if count == n:\n return fib_num\n i += 1", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[12]]}], "HumanEval/36": [{"task_id": "HumanEval/36", "solution": "def fizz_buzz(n: int) -> int:\n \"\"\"\n Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.\n \n Parameters:\n n (int): The upper limit for the range of numbers to check.\n \n Returns:\n int: The number of times the digit 7 appears in numbers less than n which are divisible by 11 or 13.\n \n Examples:\n >>> fizz_buzz(50)\n 0\n >>> fizz_buzz(78)\n 2\n >>> fizz_buzz(79)\n 3\n \"\"\"\n count = 0\n for i in range(1, n):\n if i % 11 == 0 or i % 13 == 0:\n count += str(i).count('7')\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/82": [{"task_id": "HumanEval/82", "solution": "def prime_length(string):\n \"\"\"\n Write a function that takes a string and returns True if the string\n length is a prime number or False otherwise\n Examples\n prime_length('Hello') == True\n prime_length('abcdcba') == True\n prime_length('kittens') == True\n prime_length('orange') == False\n \"\"\"\n def is_prime(n):\n \"\"\"Helper function to check if a number is prime\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n return is_prime(len(string))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/87": [{"task_id": "HumanEval/87", "solution": "def get_row(lst, x):\n \"\"\"\n You are given a 2 dimensional data, as a nested lists,\n which is similar to matrix, however, unlike matrices,\n each row may contain a different number of columns.\n Given lst, and integer x, find integers x in the list,\n and return list of tuples, [(x1, y1), (x2, y2) ...] such that\n each tuple is a coordinate - (row, columns), starting with 0.\n Sort coordinates initially by rows in ascending order.\n Also, sort coordinates of the row by columns in descending order.\n \n Examples:\n get_row([\n [1,2,3,4,5,6],\n [1,2,3,4,1,6],\n [1,2,3,4,5,1]\n ], 1) == [(0, 0), (1, 4), (1, 0), (2, 5), (2, 0)]\n get_row([], 1) == []\n get_row([[], [1], [1, 2, 3]], 3) == [(2, 2)]\n \"\"\"\n # Initialize an empty list to store the coordinates\n coordinates = []\n \n # Iterate over the rows in the list\n for i, row in enumerate(lst):\n # Iterate over the columns in the row\n for j, value in enumerate(row):\n # Check if the value is equal to x\n if value == x:\n # Append the coordinate to the list\n coordinates.append((i, j))\n \n # Sort the coordinates by rows in ascending order\n coordinates.sort(key=lambda x: x[0])\n \n # Sort the coordinates of each row by columns in descending order\n for i in range(len(coordinates)):\n coordinates[i] = (coordinates[i][0], len(lst[coordinates[i][0]]) - 1 - coordinates[i][1])\n \n # Return the sorted list of coordinates\n return coordinates", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 1, 6], [1, 2, 3, 4, 5, 1]], 1]], "plus_fail_tests": [[[[1, 1], [1, 2, 3], [4, 5, 6, 7]], 1]]}], "HumanEval/85": [{"task_id": "HumanEval/85", "solution": "def add(lst):\n \"\"\"\n Given a non-empty list of integers lst, add the even elements that are at odd indices.\n\n Examples:\n add([4, 2, 6, 7]) ==> 2\n \"\"\"\n return sum(lst[i] for i in range(1, len(lst), 2) if lst[i] % 2 == 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/89": [{"task_id": "HumanEval/89", "solution": "def encrypt(s):\n \"\"\"\n Create a function encrypt that takes a string as an argument and\n returns a string encrypted with the alphabet being rotated. \n The alphabet should be rotated in a manner such that the letters \n shift down by two multiplied to two places.\n For example:\n encrypt('hi') returns 'lm'\n encrypt('asdfghjkl') returns 'ewhjklnop'\n encrypt('gf') returns 'kj'\n encrypt('et') returns 'ix'\n \"\"\"\n encrypted_s = ''\n for char in s:\n if char.isalpha():\n shift = 2 * (ord(char.lower()) - ord('a') + 2) % 26\n encrypted_char = chr(ord('a') + shift)\n encrypted_s += encrypted_char\n else:\n encrypted_s += char\n return encrypted_s", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["hi"]], "plus_fail_tests": [["abcde"]]}], "HumanEval/93": [{"task_id": "HumanEval/93", "solution": "def encode(message):\n \"\"\"\n Write a function that takes a message, and encodes in such a \n way that it swaps case of all letters, replaces all vowels in \n the message with the letter that appears 2 places ahead of that \n vowel in the english alphabet. \n Assume only letters. \n \n Examples:\n >>> encode('test')\n 'TGST'\n >>> encode('This is a message')\n 'tHKS KS C MGSSCGG'\n \"\"\"\n vowels = 'aeiouAEIOU'\n encoded_message = ''\n for char in message:\n if char in vowels:\n # Find the position of the vowel in the alphabet\n position = ord(char) - ord('a') if char.islower() else ord(char) - ord('A')\n # Calculate the position of the letter 2 places ahead\n new_position = (position + 2) % 26\n # Convert the new position back to a character\n new_char = chr(new_position + ord('a')) if char.islower() else chr(new_position + ord('A'))\n encoded_message += new_char\n else:\n encoded_message += char\n return encoded_message", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["TEST"]], "plus_fail_tests": [["abcdefghijklmnopqrstuvwxyz"]]}], "HumanEval/86": [{"task_id": "HumanEval/86", "solution": "def anti_shuffle(s):\n \"\"\"\n Write a function that takes a string and returns an ordered version of it.\n Ordered version of string, is a string where all words (separated by space)\n are replaced by a new word where all the characters arranged in\n ascending order based on ascii value.\n Note: You should keep the order of words and blank spaces in the sentence.\n\n For example:\n anti_shuffle('Hi') returns 'Hi'\n anti_shuffle('hello') returns 'ehllo'\n anti_shuffle('Hello World!!!') returns 'Hello !!!Wdlor'\n \"\"\"\n # Split the string into words\n words = s.split()\n \n # Sort each word by ASCII value and join them back together\n sorted_words = [''.join(sorted(word)) for word in words]\n \n # Join the sorted words back together with spaces\n result = ' '.join(sorted_words)\n \n return result", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["\n\n123 456\n789\n"]]}], "HumanEval/95": [{"task_id": "HumanEval/95", "solution": "def check_dict_case(dict):\n \"\"\"\n Given a dictionary, return True if all keys are strings in lower \n case or all keys are strings in upper case, else return False.\n The function should return False is the given dictionary is empty.\n Examples:\n check_dict_case({\"a\":\"apple\", \"b\":\"banana\"}) should return True.\n check_dict_case({\"a\":\"apple\", \"A\":\"banana\", \"B\":\"banana\"}) should return False.\n check_dict_case({\"a\":\"apple\", 8:\"banana\", \"a\":\"apple\"}) should return False.\n check_dict_case({\"Name\":\"John\", \"Age\":\"36\", \"City\":\"Houston\"}) should return False.\n check_dict_case({\"STATE\":\"NC\", \"ZIP\":\"12345\" }) should return True.\n \"\"\"\n if not dict:\n return False\n \n keys = list(dict.keys())\n lower_case_keys = [key for key in keys if isinstance(key, str) and key.islower()]\n upper_case_keys = [key for key in keys if isinstance(key, str) and key.isupper()]\n \n if lower_case_keys and upper_case_keys:\n return False\n else:\n return True", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[{"p": "pineapple", "5": "banana", "a": "apple"}]], "plus_fail_tests": [[{"firstName": "John", "LASTNAME": "DOE", "Age": 35, "cItY": "new york", "Income": "$50,000"}]]}], "HumanEval/84": [{"task_id": "HumanEval/84", "solution": "def solve(N):\n \"\"\"Given a positive integer N, return the total sum of its digits in binary.\n \n Example\n For N = 1000, the sum of digits will be 1 the output should be \"1\".\n For N = 150, the sum of digits will be 6 the output should be \"110\".\n For N = 147, the sum of digits will be 12 the output should be \"1100\".\n \n Variables:\n @N integer\n Constraints: 0 \u2264 N \u2264 10000.\n Output:\n a string of binary number\n \"\"\"\n # Convert the number to a string to easily iterate over each digit\n N_str = str(N)\n \n # Initialize the sum of digits\n sum_of_digits = 0\n \n # Iterate over each digit in the string\n for digit in N_str:\n # Convert the digit back to an integer and add it to the sum\n sum_of_digits += int(digit)\n \n # Convert the sum of digits to binary and return it as a string\n return bin(sum_of_digits)[2:]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/90": [{"task_id": "HumanEval/90", "solution": "def next_smallest(lst):\n \"\"\"\n You are given a list of integers.\n Write a function next_smallest() that returns the 2nd smallest element of the list.\n Return None if there is no such element.\n \n next_smallest([1, 2, 3, 4, 5]) == 2\n next_smallest([5, 1, 4, 3, 2]) == 2\n next_smallest([]) == None\n next_smallest([1, 1]) == None\n \"\"\"\n if len(lst) < 2:\n return None\n \n # Find the smallest and second smallest elements\n smallest = float('inf')\n second_smallest = float('inf')\n \n for num in lst:\n if num < smallest:\n second_smallest = smallest\n smallest = num\n elif smallest < num < second_smallest:\n second_smallest = num\n \n return second_smallest if second_smallest != float('inf') else None", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/91": [{"task_id": "HumanEval/91", "solution": "def is_bored(S):\n \"\"\"\n You'll be given a string of words, and your task is to count the number\n of boredoms. A boredom is a sentence that starts with the word \"I\".\n Sentences are delimited by '.', '?' or '!'.\n \n For example:\n >>> is_bored(\"Hello world\")\n 0\n >>> is_bored(\"The sky is blue. The sun is shining. I love this weather\")\n 1\n \"\"\"\n # Split the string into sentences\n sentences = S.split('.') + S.split('?') + S.split('!')\n # Filter out empty strings and strip leading/trailing whitespace\n sentences = [sentence.strip() for sentence in sentences if sentence.strip()]\n # Count the number of sentences that start with \"I\"\n return sum(1 for sentence in sentences if sentence.startswith('I'))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["Is the sky blue?"]], "plus_fail_tests": [["I am very happy today. I love spending time with my friends."]]}], "HumanEval/88": [{"task_id": "HumanEval/88", "solution": "def sort_array(array):\n \"\"\"\n Given an array of non-negative integers, return a copy of the given array after sorting,\n you will sort the given array in ascending order if the sum( first index value, last index value) is odd,\n or sort it in descending order if the sum( first index value, last index value) is even.\n\n Note:\n * don't change the given array.\n\n Examples:\n * sort_array([]) => []\n * sort_array([5]) => [5]\n * sort_array([2, 4, 3, 0, 1, 5]) => [0, 1, 2, 3, 4, 5]\n * sort_array([2, 4, 3, 0, 1, 5, 6]) => [6, 5, 4, 3, 2, 1, 0]\n \"\"\"\n if not array:\n return []\n \n # Calculate the sum of the first and last elements\n sum_first_last = array[0] + array[-1]\n \n # Sort the array in ascending order if the sum is odd, otherwise in descending order\n if sum_first_last % 2 == 1:\n return sorted(array)\n else:\n return sorted(array, reverse=True)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/92": [{"task_id": "HumanEval/92", "solution": "def any_int(x, y, z):\n \"\"\"\n Create a function that takes 3 numbers.\n Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers.\n Returns false in any other cases.\n \n Examples\n any_int(5, 2, 7) \u279e True\n \n any_int(3, 2, 2) \u279e False\n\n any_int(3, -2, 1) \u279e True\n \n any_int(3.6, -2.2, 2) \u279e False\n \"\"\"\n # Check if all inputs are integers\n if not all(isinstance(num, int) for num in (x, y, z)):\n return False\n \n # Check if one of the numbers is equal to the sum of the other two\n if x + y == z or x + z == y or y + z == x:\n return True\n \n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/94": [{"task_id": "HumanEval/94", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef sum_of_digits(n):\n \"\"\"Calculate the sum of digits of a number.\"\"\"\n return sum(int(digit) for digit in str(n))\n\ndef largest_prime_and_sum_of_digits(lst):\n \"\"\"Find the largest prime value in the list and return the sum of its digits.\"\"\"\n largest_prime = max(filter(is_prime, lst), default=None)\n if largest_prime is None:\n return 0\n return sum_of_digits(largest_prime)\n\n# Test cases", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/97": [{"task_id": "HumanEval/97", "solution": "def multiply(a, b):\n \"\"\"\n Complete the function that takes two integers and returns \n the product of their unit digits.\n Assume the input is always valid.\n Examples:\n multiply(148, 412) should return 16.\n multiply(19, 28) should return 72.\n multiply(2020, 1851) should return 0.\n multiply(14,-15) should return 20.\n \"\"\"\n # Extract the unit digits of a and b\n unit_digit_a = abs(a) % 10\n unit_digit_b = abs(b) % 10\n \n # Calculate the product of the unit digits\n product = unit_digit_a * unit_digit_b\n \n return product", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/59": [{"task_id": "HumanEval/59", "solution": "def largest_prime_factor(n: int) -> int:\n \"\"\"\n Return the largest prime factor of n. Assume n > 1 and is not a prime.\n \n Parameters:\n n (int): The input number for which to find the largest prime factor.\n \n Returns:\n int: The largest prime factor of n.\n \n Examples:\n >>> largest_prime_factor(13195)\n 29\n >>> largest_prime_factor(2048)\n 2\n \"\"\"\n def is_prime(num: int) -> bool:\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n largest_factor = 2\n while n % largest_factor != 0:\n largest_factor += 1\n while n % largest_factor == 0:\n n //= largest_factor\n\n return largest_factor", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[15]], "plus_fail_tests": [[100]]}], "HumanEval/98": [{"task_id": "HumanEval/98", "solution": "def count_upper(s):\n \"\"\"\n Given a string s, count the number of uppercase vowels in even indices.\n \n For example:\n count_upper('aBCdEf') returns 1\n count_upper('abcdefg') returns 0\n count_upper('dBBE') returns 0\n \"\"\"\n vowels = 'AEIOU'\n count = 0\n for i in range(0, len(s), 2):\n if s[i] in vowels:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/99": [{"task_id": "HumanEval/99", "solution": "def closest_integer(value):\n '''\n Create a function that takes a value (string) representing a number\n and returns the closest integer to it. If the number is equidistant\n from two integers, round it away from zero.\n\n Examples\n >>> closest_integer(\"10\")\n 10\n >>> closest_integer(\"15.3\")\n 15\n\n Note:\n Rounding away from zero means that if the given number is equidistant\n from two integers, the one you should return is the one that is the\n farthest from zero. For example closest_integer(\"14.5\") should\n return 15 and closest_integer(\"-14.5\") should return -15.\n '''\n num = float(value)\n if num > 0:\n return int(num + 0.5)\n else:\n return int(num - 0.5)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/100": [{"task_id": "HumanEval/100", "solution": "def make_a_pile(n):\n \"\"\"\n Given a positive integer n, you have to make a pile of n levels of stones.\n The first level has n stones.\n The number of stones in the next level is:\n - the next odd number if n is odd.\n - the next even number if n is even.\n Return the number of stones in each level in a list, where element at index\n i represents the number of stones in the level (i+1).\n\n Examples:\n >>> make_a_pile(3)\n [3, 5, 7]\n \"\"\"\n if n <= 0:\n raise ValueError(\"n must be a positive integer\")\n \n # Initialize the list with the first level\n pile = [n]\n \n # Determine the next odd or even number based on the parity of n\n next_number = n + 2 if n % 2 == 0 else n + 1\n \n # Generate the rest of the levels\n for _ in range(n - 1):\n pile.append(next_number)\n next_number += 2 if next_number % 2 == 0 else 1\n \n return pile", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[15]]}], "HumanEval/102": [{"task_id": "HumanEval/102", "solution": "def choose_num(x, y):\n \"\"\"\n This function takes two positive numbers x and y and returns the\n biggest even integer number that is in the range [x, y] inclusive. If \n there's no such number, then the function should return -1.\n\n For example:\n choose_num(12, 15) = 14\n choose_num(13, 12) = -1\n \"\"\"\n if x > y:\n return -1\n if x % 2 == 0:\n return x\n else:\n return x + 1", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[12, 15]], "plus_fail_tests": [[20, 30]]}], "HumanEval/101": [{"task_id": "HumanEval/101", "solution": "import re\ndef words_string(s):\n \"\"\"\n Splits a string of words separated by commas or spaces into an array of words.\n \n Parameters:\n s (str): The input string of words separated by commas or spaces.\n \n Returns:\n list: A list of words extracted from the input string.\n \n Examples:\n >>> words_string(\"Hi, my name is John\")\n [\"Hi\", \"my\", \"name\", \"is\", \"John\"]\n >>> words_string(\"One, two, three, four, five, six\")\n [\"One\", \"two\", \"three\", \"four\", \"five\", \"six\"]\n \"\"\"\n # Split the string into words using a regular expression that matches commas or spaces\n words = re.split(r'[, ]', s)\n # Remove any empty strings that might result from the split\n words = [word for word in words if word]\n return words", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["Multi\nline\nstring\nHello,\nworld!\n"]]}], "HumanEval/103": [{"task_id": "HumanEval/103", "solution": "def rounded_avg(n, m):\n \"\"\"\n Compute the average of the integers from n through m (including n and m),\n round the answer to the nearest integer, and convert that to binary.\n If n is greater than m, return -1.\n \"\"\"\n if n > m:\n return -1\n avg = round((n + m) / 2)\n return bin(avg)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/96": [{"task_id": "HumanEval/96", "solution": "def is_prime(num):\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\ndef count_up_to(n):\n \"\"\"Implement a function that takes an non-negative integer and returns an array of the first n\n integers that are prime numbers and less than n.\n \"\"\"\n primes = []\n for i in range(2, n):\n if is_prime(i):\n primes.append(i)\n return primes", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/105": [{"task_id": "HumanEval/105", "solution": "def by_length(arr):\n \"\"\"\n Given an array of integers, sort the integers that are between 1 and 9 inclusive,\n reverse the resulting array, and then replace each digit by its corresponding name from\n \"One\", \"Two\", \"Three\", \"Four\", \"Five\", \"Six\", \"Seven\", \"Eight\", \"Nine\".\n\n For example:\n arr = [2, 1, 1, 4, 5, 8, 2, 3] \n -> sort arr -> [1, 1, 2, 2, 3, 4, 5, 8] \n -> reverse arr -> [8, 5, 4, 3, 2, 2, 1, 1]\n return [\"Eight\", \"Five\", \"Four\", \"Three\", \"Two\", \"Two\", \"One\", \"One\"]\n \n If the array is empty, return an empty array:\n arr = []\n return []\n \n If the array has any strange number ignore it:\n arr = [1, -1 , 55] \n -> sort arr -> [-1, 1, 55]\n -> reverse arr -> [55, 1, -1]\n return = ['One']\n \"\"\"\n # Define the mapping from numbers to names\n num_to_name = {\n 1: \"One\", 2: \"Two\", 3: \"Three\", 4: \"Four\", 5: \"Five\",\n 6: \"Six\", 7: \"Seven\", 8: \"Eight\", 9: \"Nine\"\n }\n\n # Filter the array to include only numbers between 1 and 9\n valid_numbers = [num for num in arr if 1 <= num <= 9]\n\n # Sort the valid numbers in descending order\n sorted_numbers = sorted(valid_numbers, reverse=True)\n\n # Map the sorted numbers to their corresponding names\n result = [num_to_name[num] for num in sorted_numbers]\n\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/107": [{"task_id": "HumanEval/107", "solution": "def even_odd_palindrome(n):\n \"\"\"\n Given a positive integer n, return a tuple that has the number of even and odd\n integer palindromes that fall within the range(1, n), inclusive.\n\n Example 1:\n\n Input: 3\n Output: (1, 2)\n Explanation:\n Integer palindrome are 1, 2, 3. one of them is even, and two of them are odd.\n\n Example 2:\n\n Input: 12\n Output: (4, 6)\n Explanation:\n Integer palindrome are 1, 2, 3, 4, 5, 6, 7, 8, 9, 11. four of them are even, and 6 of them are odd.\n\n Note:\n 1. 1 <= n <= 10^3\n 2. returned tuple has the number of even and odd integer palindromes respectively.\n \"\"\"\n def is_palindrome(num):\n return str(num) == str(num)[::-1]\n\n even_count = 0\n odd_count = 0\n\n for i in range(1, n + 1):\n if is_palindrome(i):\n if i % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n\n return (even_count, odd_count)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/108": [{"task_id": "HumanEval/108", "solution": "def count_nums(arr):\n \"\"\"\n Write a function count_nums which takes an array of integers and returns\n the number of elements which has a sum of digits > 0.\n If a number is negative, then its first signed digit will be negative:\n e.g. -123 has signed digits -1, 2, and 3.\n >>> count_nums([]) == 0\n >>> count_nums([-1, 11, -11]) == 1\n >>> count_nums([1, 1, 2]) == 3\n \"\"\"\n count = 0\n for num in arr:\n if num < 0:\n num = -num\n sum_digits = sum(int(digit) for digit in str(num))\n if sum_digits > 0:\n count += 1\n return count", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-1, -2, 0]]], "plus_fail_tests": [[[-1, 0, 1]]]}], "HumanEval/110": [{"task_id": "HumanEval/110", "solution": "def exchange(lst1, lst2):\n \"\"\"\n This function checks if it is possible to exchange elements between two lists\n to make all elements of the first list even.\n \n Parameters:\n lst1 (list): The first list of numbers.\n lst2 (list): The second list of numbers.\n \n Returns:\n str: \"YES\" if it is possible to make all elements of lst1 even, \"NO\" otherwise.\n \"\"\"\n # Check if all elements in lst1 are even\n if all(num % 2 == 0 for num in lst1):\n return \"YES\"\n \n # Check if there are any odd numbers in lst1\n odd_in_lst1 = any(num % 2 != 0 for num in lst1)\n \n # Check if there are any even numbers in lst2\n even_in_lst2 = any(num % 2 == 0 for num in lst2)\n \n # If there are odd numbers in lst1 and even numbers in lst2, it is possible to exchange\n if odd_in_lst1 and even_in_lst2:\n return \"YES\"\n \n # If there are no odd numbers in lst1 and no even numbers in lst2, it is not possible to exchange\n return \"NO\"", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 3, 4], [1, 5, 3, 4]]], "plus_fail_tests": [[[1, 3, 5, 7], [2, 4, 6]]]}], "HumanEval/104": [{"task_id": "HumanEval/104", "solution": "def unique_digits(x):\n \"\"\"Given a list of positive integers x. return a sorted list of all \n elements that hasn't any even digit.\n\n Note: Returned list should be sorted in increasing order.\n \n For example:\n >>> unique_digits([15, 33, 1422, 1])\n [1, 15, 33]\n >>> unique_digits([152, 323, 1422, 10])\n []\n \"\"\"\n def has_even_digit(n):\n return any(int(digit) % 2 == 0 for digit in str(n))\n\n return sorted([num for num in x if not has_even_digit(num)])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/109": [{"task_id": "HumanEval/109", "solution": "def move_one_ball(arr):\n \"\"\"\n Determines if it is possible to get an array sorted in non-decreasing order by performing \n the right shift operation on the given array.\n\n Parameters:\n arr (list): A list of integers.\n\n Returns:\n bool: True if it is possible to get a sorted array, False otherwise.\n \"\"\"\n if not arr:\n return True\n\n # Check if the array is already sorted\n if all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)):\n return True\n\n # Check if the array can be sorted by performing a right shift operation\n for i in range(len(arr)):\n # Perform right shift operation\n arr = arr[-1:] + arr[:-1]\n # Check if the array is sorted\n if all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)):\n return True\n\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/106": [{"task_id": "HumanEval/106", "solution": "def f(n):\n def factorial(x):\n if x == 0:\n return 1\n else:\n return x * factorial(x - 1)\n\n def sum_to_n(x):\n return sum(range(1, x + 1))\n\n result = []\n for i in range(1, n + 1):\n if i % 2 == 0:\n result.append(factorial(i))\n else:\n result.append(sum_to_n(i))\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/112": [{"task_id": "HumanEval/112", "solution": "def reverse_delete(s, c):\n \"\"\"\n Deletes all characters in string s that are equal to any character in string c,\n then checks if the result string is a palindrome.\n \n Parameters:\n s (str): The input string to be processed.\n c (str): The characters to be deleted from s.\n \n Returns:\n tuple: A tuple containing the processed string and a boolean indicating if it is a palindrome.\n \"\"\"\n # Remove characters in c from s\n s = ''.join([char for char in s if char not in c])\n \n # Check if the resulting string is a palindrome\n is_palindrome = s == s[::-1]\n \n return (s, is_palindrome)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/111": [{"task_id": "HumanEval/111", "solution": "def histogram(test):\n \"\"\"Given a string representing a space separated lowercase letters, return a dictionary\n of the letter with the most repetition and containing the corresponding count.\n If several letters have the same occurrence, return all of them.\n \n Example:\n histogram('a b c') == {'a': 1, 'b': 1, 'c': 1}\n histogram('a b b a') == {'a': 2, 'b': 2}\n histogram('a b c a b') == {'a': 2, 'b': 2}\n histogram('b b b b a') == {'b': 4}\n histogram('') == {}\n\n \"\"\"\n # Split the input string into a list of letters\n letters = test.split()\n \n # Initialize an empty dictionary to store the letter counts\n letter_counts = {}\n \n # Iterate over each letter in the list\n for letter in letters:\n # If the letter is already in the dictionary, increment its count\n if letter in letter_counts:\n letter_counts[letter] += 1\n # Otherwise, add the letter to the dictionary with a count of 1\n else:\n letter_counts[letter] = 1\n \n # Find the maximum count\n max_count = max(letter_counts.values(), default=0)\n \n # Filter the dictionary to include only the letters with the maximum count\n result = {letter: count for letter, count in letter_counts.items() if count == max_count}\n \n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/113": [{"task_id": "HumanEval/113", "solution": "def odd_count(lst):\n \"\"\"Given a list of strings, where each string consists of only digits, return a list.\n Each element i of the output should be \"the number of odd elements in the\n string i of the input.\" where all the i's should be replaced by the number\n of odd digits in the i'th string of the input.\n\n >>> odd_count(['1234567'])\n [\"the number of odd elements 4n the str4ng 4 of the 4nput.\"]\n >>> odd_count(['3',\"11111111\"])\n [\"the number of odd elements 1n the str1ng 1 of the 1nput.\",\n \"the number of odd elements 8n the str8ng 8 of the 8nput.\"]\n \"\"\"\n result = []\n for i, s in enumerate(lst):\n odd_count = sum(1 for char in s if int(char) % 2 != 0)\n result.append(f\"the number of odd elements {odd_count}n the str{odd_count}ng {odd_count} of the {odd_count}nput.\")\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/114": [{"task_id": "HumanEval/114", "solution": "def minSubArraySum(nums):\n \"\"\"\n Given an array of integers nums, find the minimum sum of any non-empty sub-array\n of nums.\n Example\n minSubArraySum([2, 3, 4, 1, 2, 4]) == 1\n minSubArraySum([-1, -2, -3]) == -6\n \"\"\"\n if not nums:\n return 0\n\n min_sum = float('inf')\n current_sum = 0\n\n for num in nums:\n current_sum += num\n if current_sum < min_sum:\n min_sum = current_sum\n if current_sum > 0:\n current_sum = 0\n\n return min_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/115": [{"task_id": "HumanEval/115", "solution": "import math\ndef max_fill(grid, capacity):\n \"\"\"\n You are given a rectangular grid of wells. Each row represents a single well,\n and each 1 in a row represents a single unit of water.\n Each well has a corresponding bucket that can be used to extract water from it, \n and all buckets have the same capacity.\n Your task is to use the buckets to empty the wells.\n Output the number of times you need to lower the buckets.\n\n Example 1:\n Input: \n grid : [[0,0,1,0], [0,1,0,0], [1,1,1,1]]\n bucket_capacity : 1\n Output: 6\n\n Example 2:\n Input: \n grid : [[0,0,1,1], [0,0,0,0], [1,1,1,1], [0,1,1,1]]\n bucket_capacity : 2\n Output: 5\n \n Example 3:\n Input: \n grid : [[0,0,0], [0,0,0]]\n bucket_capacity : 5\n Output: 0\n\n Constraints:\n * all wells have the same length\n * 1 <= grid.length <= 10^2\n * 1 <= grid[:,1].length <= 10^2\n * grid[i][j] -> 0 | 1\n * 1 <= capacity <= 10\n \"\"\"\n # Initialize the number of times the buckets need to be lowered\n times = 0\n \n # Iterate over each row in the grid\n for row in grid:\n # Count the number of 1s in the row\n ones = sum(row)\n \n # Calculate the number of times the buckets need to be lowered for this row\n times += math.ceil(ones / capacity)\n \n return times", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/116": [{"task_id": "HumanEval/116", "solution": "def sort_array(arr):\n \"\"\"\n In this Kata, you have to sort an array of non-negative integers according to\n number of ones in their binary representation in ascending order.\n For similar number of ones, sort based on decimal value.\n\n It must be implemented like this:\n >>> sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5]\n >>> sort_array([-2, -3, -4, -5, -6]) == [-6, -5, -4, -3, -2]\n >>> sort_array([1, 0, 2, 3, 4]) [0, 1, 2, 3, 4]\n \"\"\"\n # Convert each number to its binary representation and count the number of ones\n binary_counts = [(bin(num).count('1'), num) for num in arr]\n \n # Sort the list based on the count of ones and then the decimal value\n sorted_arr = sorted(binary_counts, key=lambda x: (x[0], x[1]))\n \n # Extract the sorted decimal values\n sorted_arr = [num for _, num in sorted_arr]\n \n return sorted_arr", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/119": [{"task_id": "HumanEval/119", "solution": "def match_parens(lst):\n '''\n You are given a list of two strings, both strings consist of open\n parentheses '(' or close parentheses ')' only.\n Your job is to check if it is possible to concatenate the two strings in\n some order, that the resulting string will be good.\n A string S is considered to be good if and only if all parentheses in S\n are balanced. For example: the string '(())()' is good, while the string\n '())' is not.\n Return 'Yes' if there's a way to make a good string, and return 'No' otherwise.\n\n Examples:\n match_parens(['()(', ')']) == 'Yes'\n match_parens([')', ')']) == 'No'\n '''\n # Initialize a stack to keep track of open parentheses\n stack = []\n \n # Concatenate the two strings\n combined_string = lst[0] + lst[1]\n \n # Iterate over each character in the combined string\n for char in combined_string:\n if char == '(':\n # If an open parenthesis is found, push it onto the stack\n stack.append(char)\n elif char == ')':\n # If a close parenthesis is found, check if there is a matching open parenthesis\n if not stack:\n # If the stack is empty, there is no matching open parenthesis\n return 'No'\n # Pop the last open parenthesis from the stack\n stack.pop()\n \n # If the stack is empty, all parentheses are balanced\n return 'Yes' if not stack else 'No'", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[")())", "(()()("]]], "plus_fail_tests": [[[")()()()(()()))", "(("]]]}], "HumanEval/118": [{"task_id": "HumanEval/118", "solution": "def get_closest_vowel(word):\n \"\"\"\n You are given a word. Your task is to find the closest vowel that stands between \n two consonants from the right side of the word (case sensitive).\n \n Vowels in the beginning and ending doesn't count. Return empty string if you didn't\n find any vowel met the above condition. \n\n You may assume that the given string contains English letter only.\n\n Example:\n get_closest_vowel(\"yogurt\") ==> \"u\"\n get_closest_vowel(\"FULL\") ==> \"U\"\n get_closest_vowel(\"quick\") ==> \"\"\n get_closest_vowel(\"ab\") ==> \"\"\n \"\"\"\n vowels = \"aeiouAEIOU\"\n for i in range(len(word) - 2, 0, -1):\n if word[i] in vowels and word[i-1] not in vowels and word[i+1] not in vowels:\n return word[i]\n return \"\"", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/117": [{"task_id": "HumanEval/117", "solution": "def select_words(s, n):\n \"\"\"\n Given a string s and a natural number n, returns a list of all words from string s \n that contain exactly n consonants, in order these words appear in the string s.\n If the string s is empty then the function returns an empty list.\n Note: you may assume the input string contains only letters and spaces.\n \"\"\"\n def count_consonants(word):\n \"\"\"Helper function to count consonants in a word.\"\"\"\n consonants = \"bcdfghjklmnpqrstvwxyz\"\n return sum(1 for char in word.lower() if char in consonants)\n\n if not s:\n return []\n\n words = s.split()\n return [word for word in words if count_consonants(word) == n]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/120": [{"task_id": "HumanEval/120", "solution": "def maximum(arr, k):\n \"\"\"\n Given an array arr of integers and a positive integer k, return a sorted list \n of length k with the maximum k numbers in arr.\n\n Example 1:\n\n Input: arr = [-3, -4, 5], k = 3\n Output: [-4, -3, 5]\n\n Example 2:\n\n Input: arr = [4, -4, 4], k = 2\n Output: [4, 4]\n\n Example 3:\n\n Input: arr = [-3, 2, 1, 2, -1, -2, 1], k = 1\n Output: [2]\n\n Note:\n 1. The length of the array will be in the range of [1, 1000].\n 2. The elements in the array will be in the range of [-1000, 1000].\n 3. 0 <= k <= len(arr)\n \"\"\"\n # Sort the array in descending order\n arr.sort(reverse=True)\n # Return the first k elements of the sorted array\n return arr[:k]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-3, -4, 5], 3]], "plus_fail_tests": [[[1, 2, 3, 4, 5], 3]]}], "HumanEval/122": [{"task_id": "HumanEval/122", "solution": "def add_elements(arr, k):\n \"\"\"\n Given a non-empty array of integers arr and an integer k, return\n the sum of the elements with at most two digits from the first k elements of arr.\n\n Example:\n\n Input: arr = [111,21,3,4000,5,6,7,8,9], k = 4\n Output: 24 # sum of 21 + 3\n\n Constraints:\n 1. 1 <= len(arr) <= 100\n 2. 1 <= k <= len(arr)\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first k elements of the array\n for i in range(k):\n # Check if the number has at most two digits\n if len(str(arr[i])) <= 2:\n # Add the number to the total sum\n total_sum += arr[i]\n \n # Return the total sum\n return total_sum", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[-99, -88, -77, -66, -55, -44, -33, -22, -11], 5]]}], "HumanEval/121": [{"task_id": "HumanEval/121", "solution": "def solution(lst):\n \"\"\"Given a non-empty list of integers, return the sum of all of the odd elements that are in even positions.\n \n Examples\n solution([5, 8, 7, 1]) ==> 12\n solution([3, 3, 3, 3, 3]) ==> 9\n solution([30, 13, 24, 321]) ==>0\n \"\"\"\n return sum(lst[i] for i in range(0, len(lst), 2) if lst[i] % 2 != 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/123": [{"task_id": "HumanEval/123", "solution": "def get_odd_collatz(n):\n \"\"\"\n Given a positive integer n, return a sorted list that has the odd numbers in collatz sequence.\n\n The Collatz conjecture is a conjecture in mathematics that concerns a sequence defined\n as follows: start with any positive integer n. Then each term is obtained from the \n previous term as follows: if the previous term is even, the next term is one half of \n the previous term. If the previous term is odd, the next term is 3 times the previous\n term plus 1. The conjecture is that no matter what value of n, the sequence will always reach 1.\n\n Note: \n 1. Collatz(1) is [1].\n 2. returned list sorted in increasing order.\n\n For example:\n get_odd_collatz(5) returns [1, 5] # The collatz sequence for 5 is [5, 16, 8, 4, 2, 1], so the odd numbers are only 1, and 5.\n \"\"\"\n # Initialize an empty list to store the odd numbers in the Collatz sequence\n odd_numbers = []\n \n # Generate the Collatz sequence\n while n != 1:\n # Check if the current number is odd\n if n % 2 != 0:\n odd_numbers.append(n)\n \n # Apply the Collatz function\n if n % 2 == 0:\n n = n // 2\n else:\n n = 3 * n + 1\n \n # Add 1 to the list of odd numbers\n odd_numbers.append(1)\n \n # Sort the list of odd numbers in increasing order\n odd_numbers.sort()\n \n return odd_numbers", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/124": [{"task_id": "HumanEval/124", "solution": "def valid_date(date):\n \"\"\"\n Validates a given date string and returns True if the date is valid otherwise False.\n The date is valid if all of the following rules are satisfied:\n 1. The date string is not empty.\n 2. The number of days is not less than 1 or higher than 31 days for months 1,3,5,7,8,10,12. And the number of days is not less than 1 or higher than 30 days for months 4,6,9,11. And, the number of days is not less than 1 or higher than 29 for the month 2.\n 3. The months should not be less than 1 or higher than 12.\n 4. The date should be in the format: mm-dd-yyyy\n\n for example: \n valid_date('03-11-2000') => True\n\n valid_date('15-01-2012') => False\n\n valid_date('04-0-2040') => False\n\n valid_date('06-04-2020') => True\n\n valid_date('06/04/2020') => False\n \"\"\"\n if not date:\n return False\n\n parts = date.split('-')\n if len(parts) != 3:\n return False\n\n month, day, year = parts\n if not month.isdigit() or not day.isdigit() or not year.isdigit():\n return False\n\n month = int(month)\n day = int(day)\n year = int(year)\n\n if month < 1 or month > 12:\n return False\n\n if month in [4, 6, 9, 11]:\n if day < 1 or day > 30:\n return False\n elif month == 2:\n if day < 1 or day > 29:\n return False\n else:\n if day < 1 or day > 31:\n return False\n\n return True", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["06-04-202"]]}], "HumanEval/128": [{"task_id": "HumanEval/128", "solution": "def prod_signs(arr):\n \"\"\"\n You are given an array arr of integers and you need to return\n sum of magnitudes of integers multiplied by product of all signs\n of each number in the array, represented by 1, -1 or 0.\n Note: return None for empty arr.\n\n Example:\n >>> prod_signs([1, 2, 2, -4]) == -9\n >>> prod_signs([0, 1]) == 0\n >>> prod_signs([]) == None\n \"\"\"\n if not arr:\n return None\n \n total_sum = 0\n sign_product = 1\n \n for num in arr:\n if num > 0:\n sign_product *= 1\n elif num < 0:\n sign_product *= -1\n total_sum += abs(num)\n \n return total_sum * sign_product", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[0, 1]]], "plus_fail_tests": [[[-1, 0, 1, 2]]]}], "HumanEval/126": [{"task_id": "HumanEval/126", "solution": "def is_sorted(lst):\n '''\n Given a list of numbers, return whether or not they are sorted\n in ascending order. If list has more than 1 duplicate of the same\n number, return False. Assume no negative numbers and only integers.\n\n Examples\n is_sorted([5]) \u279e True\n is_sorted([1, 2, 3, 4, 5]) \u279e True\n is_sorted([1, 3, 2, 4, 5]) \u279e False\n is_sorted([1, 2, 3, 4, 5, 6]) \u279e True\n is_sorted([1, 2, 3, 4, 5, 6, 7]) \u279e True\n is_sorted([1, 3, 2, 4, 5, 6, 7]) \u279e False\n is_sorted([1, 2, 2, 3, 3, 4]) \u279e True\n is_sorted([1, 2, 2, 2, 3, 4]) \u279e False\n '''\n # Check if the list is sorted in ascending order\n if lst == sorted(lst):\n # Check if there are duplicates\n if len(lst) == len(set(lst)):\n return True\n else:\n return False\n else:\n return False", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 2, 3, 3, 4]]], "plus_fail_tests": [[[1, 1, 2, 2, 3, 3, 4]]]}], "HumanEval/129": [{"task_id": "HumanEval/129", "solution": "def minPath(grid, k):\n \"\"\"\n Given a grid with N rows and N columns (N >= 2) and a positive integer k, \n each cell of the grid contains a value. Every integer in the range [1, N * N]\n inclusive appears exactly once on the cells of the grid.\n\n You have to find the minimum path of length k in the grid. You can start\n from any cell, and in each step you can move to any of the neighbor cells,\n in other words, you can go to cells which share an edge with you current\n cell.\n Please note that a path of length k means visiting exactly k cells (not\n necessarily distinct).\n You CANNOT go off the grid.\n A path A (of length k) is considered less than a path B (of length k) if\n after making the ordered lists of the values on the cells that A and B go\n through (let's call them lst_A and lst_B), lst_A is lexicographically less\n than lst_B, in other words, there exist an integer index i (1 <= i <= k)\n such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have\n lst_A[j] = lst_B[j].\n It is guaranteed that the answer is unique.\n Return an ordered list of the values on the cells that the minimum path go through.\n\n Examples:\n\n Input: grid = [ [1,2,3], [4,5,6], [7,8,9]], k = 3\n Output: [1, 2, 1]\n\n Input: grid = [ [5,9,3], [4,1,6], [7,8,2]], k = 1\n Output: [1]\n \"\"\"\n def dfs(x, y, k, path):\n if k == 0:\n return path\n min_path = None\n for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]:\n nx, ny = x + dx, y + dy\n if 0 <= nx < len(grid) and 0 <= ny < len(grid[0]):\n new_path = path + [grid[nx][ny]]\n if min_path is None or new_path < min_path:\n min_path = new_path\n if min_path is not None:\n min_path = dfs(nx, ny, k - 1, new_path)\n return min_path\n\n min_path = None\n for i in range(len(grid)):\n for j in range(len(grid[0])):\n path = [grid[i][j]]\n new_path = dfs(i, j, k - 1, path)\n if min_path is None or new_path < min_path:\n min_path = new_path\n return min_path", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3]], "plus_fail_tests": [[[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 9]]}], "HumanEval/127": [{"task_id": "HumanEval/127", "solution": "def intersection(interval1, interval2):\n \"\"\"\n Determines whether the length of the intersection of two given intervals is a prime number.\n \n Parameters:\n interval1 (tuple): The first interval, where each element is an integer.\n interval2 (tuple): The second interval, where each element is an integer.\n \n Returns:\n str: \"YES\" if the length of the intersection is a prime number, \"NO\" otherwise.\n \"\"\"\n # Check if the intervals intersect\n if interval1[0] > interval2[1] or interval2[0] > interval1[1]:\n return \"NO\"\n \n # Calculate the intersection\n start = max(interval1[0], interval2[0])\n end = min(interval1[1], interval2[1])\n \n # Calculate the length of the intersection\n length = end - start + 1\n \n # Check if the length is a prime number\n if length < 2:\n return \"NO\"\n for i in range(2, int(length**0.5) + 1):\n if length % i == 0:\n return \"NO\"\n return \"YES\"", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-1, 1], [0, 4]]], "plus_fail_tests": [[[10, 20], [15, 25]]]}], "HumanEval/125": [{"task_id": "HumanEval/125", "solution": "def split_words(txt):\n '''\n Given a string of words, return a list of words split on whitespace, if no whitespaces exists in the text you\n should split on commas ',' if no commas exists you should return the number of lower-case letters with odd order in the\n alphabet, ord('a') = 0, ord('b') = 1, ... ord('z') = 25\n Examples\n split_words(\"Hello world!\") \u279e [\"Hello\", \"world!\"]\n split_words(\"Hello,world!\") \u279e [\"Hello\", \"world!\"]\n split_words(\"abcdef\") == 3 \n '''\n if ' ' in txt:\n return txt.split()\n elif ',' in txt:\n return txt.split(',')\n else:\n return sum(1 for char in txt if char.islower() and (ord(char) - ord('a')) % 2 != 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/83": [{"task_id": "HumanEval/83", "solution": "def starts_one_ends(n):\n \"\"\"\n Given a positive integer n, return the count of the numbers of n-digit\n positive integers that start or end with 1.\n \"\"\"\n if n < 1:\n raise ValueError(\"n must be a positive integer\")\n \n # The count of numbers of n-digit positive integers that start or end with 1\n # is 2 * 9 * 10^(n-2)\n # For n = 1, the count is 1 (since 1 is the only number that starts or ends with 1)\n # For n > 1, the count is 2 * 9 * 10^(n-2)\n return 2 * 9 * (10 ** (n - 2)) if n > 1 else 1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/132": [{"task_id": "HumanEval/132", "solution": "def is_nested(string):\n '''\n Create a function that takes a string as input which contains only square brackets.\n The function should return True if and only if there is a valid subsequence of brackets \n where at least one bracket in the subsequence is nested.\n\n is_nested('[[]]') \u279e True\n is_nested('[]]]]]]][[[[[]') \u279e False\n is_nested('[][]') \u279e False\n is_nested('[]') \u279e False\n is_nested('[[][]]') \u279e True\n is_nested('[[]][[') \u279e True\n '''\n stack = []\n for char in string:\n if char == '[':\n stack.append(char)\n elif char == ']':\n if not stack or stack[-1] != '[':\n return False\n stack.pop()\n return bool(stack)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["[[]]"]], "plus_fail_tests": [["[[]][]"]]}], "HumanEval/134": [{"task_id": "HumanEval/134", "solution": "def check_if_last_char_is_a_letter(txt):\n '''\n Create a function that returns True if the last character\n of a given string is an alphabetical character and is not\n a part of a word, and False otherwise.\n Note: \"word\" is a group of characters separated by space.\n\n Examples:\n check_if_last_char_is_a_letter(\"apple pie\") \u279e False\n check_if_last_char_is_a_letter(\"apple pi e\") \u279e True\n check_if_last_char_is_a_letter(\"apple pi e \") \u279e False\n check_if_last_char_is_a_letter(\"\") \u279e False \n '''\n # Check if the string is empty\n if not txt:\n return False\n \n # Check if the last character is a letter\n if txt[-1].isalpha():\n # Check if the last character is not part of a word\n if len(txt) == 1 or not txt[-2].isalpha():\n return True\n return False", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["aaaaa aaaaa 1A"]]}], "HumanEval/133": [{"task_id": "HumanEval/133", "solution": "import math\ndef sum_squares(lst):\n \"\"\"\n You are given a list of numbers.\n You need to return the sum of squared numbers in the given list,\n round each element in the list to the upper int(Ceiling) first.\n Examples:\n For lst = [1,2,3] the output should be 14\n For lst = [1,4,9] the output should be 98\n For lst = [1,3,5,7] the output should be 84\n For lst = [1.4,4.2,0] the output should be 29\n For lst = [-2.4,1,1] the output should be 6\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over each element in the list\n for num in lst:\n # Round the number to the upper integer using math.ceil\n rounded_num = math.ceil(num)\n # Add the square of the rounded number to the total sum\n total_sum += rounded_num ** 2\n \n # Return the total sum\n return total_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/131": [{"task_id": "HumanEval/131", "solution": "def digits(n):\n \"\"\"\n Given a positive integer n, return the product of the odd digits.\n Return 0 if all digits are even.\n For example:\n digits(1) == 1\n digits(4) == 0\n digits(235) == 15\n \"\"\"\n product = 1\n has_odd = False\n for digit in str(n):\n digit = int(digit)\n if digit % 2 != 0:\n product *= digit\n has_odd = True\n return product if has_odd else 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/135": [{"task_id": "HumanEval/135", "solution": "def can_arrange(arr):\n \"\"\"\n Create a function which returns the largest index of an element which\n is not greater than or equal to the element immediately preceding it. If\n no such element exists then return -1. The given array will not contain\n duplicate values.\n\n Examples:\n can_arrange([1,2,4,3,5]) = 3\n can_arrange([1,2,3]) = -1\n \"\"\"\n for i in range(len(arr) - 1, 0, -1):\n if arr[i] < arr[i - 1]:\n return i\n return -1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/138": [{"task_id": "HumanEval/138", "solution": "def is_equal_to_sum_even(n):\n \"\"\"\n Evaluate whether the given number n can be written as the sum of exactly 4 positive even numbers.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if n can be written as the sum of exactly 4 positive even numbers, False otherwise.\n \n Examples:\n >>> is_equal_to_sum_even(4)\n False\n >>> is_equal_to_sum_even(6)\n False\n >>> is_equal_to_sum_even(8)\n True\n \"\"\"\n # Check if n is even\n if n % 2 != 0:\n return False\n \n # Check if n can be written as the sum of exactly 4 positive even numbers\n for i in range(2, n // 2 + 1, 2):\n for j in range(i, n // 2 + 1, 2):\n for k in range(j, n // 2 + 1, 2):\n for l in range(k, n // 2 + 1, 2):\n if i + j + k + l == n:\n return True\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/140": [{"task_id": "HumanEval/140", "solution": "def fix_spaces(text):\n \"\"\"\n Given a string text, replace all spaces in it with underscores, \n and if a string has more than 2 consecutive spaces, \n then replace all consecutive spaces with - \n \n fix_spaces(\"Example\") == \"Example\"\n fix_spaces(\"Example 1\") == \"Example_1\"\n fix_spaces(\" Example 2\") == \"_Example_2\"\n fix_spaces(\" Example 3\") == \"_Example-3\"\n \"\"\"\n # Initialize an empty string to store the result\n result = \"\"\n \n # Initialize a flag to track if we are in a sequence of spaces\n in_sequence = False\n \n # Iterate over each character in the input string\n for char in text:\n # If the character is a space\n if char == \" \":\n # If we are not already in a sequence of spaces\n if not in_sequence:\n # Start a new sequence of spaces\n in_sequence = True\n # Add an underscore to the result\n result += \"_\"\n # If we are already in a sequence of spaces\n else:\n # Add a hyphen to the result\n result += \"-\"\n # If the character is not a space\n else:\n # If we are in a sequence of spaces\n if in_sequence:\n # End the sequence of spaces\n in_sequence = False\n # Add the character to the result\n result += char\n \n # Return the result\n return result", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["Yellow Yellow Dirty Fellow"]], "plus_fail_tests": [["Hello, world!"]]}], "HumanEval/137": [{"task_id": "HumanEval/137", "solution": "def compare_one(a, b):\n \"\"\"\n Create a function that takes integers, floats, or strings representing\n real numbers, and returns the larger variable in its given variable type.\n Return None if the values are equal.\n Note: If a real number is represented as a string, the floating point might be . or ,\n\n compare_one(1, 2.5) \u279e 2.5\n compare_one(1, \"2,3\") \u279e \"2,3\"\n compare_one(\"5,1\", \"6\") \u279e \"6\"\n compare_one(\"1\", 1) \u279e None\n \"\"\"\n # Convert strings to floats if possible\n if isinstance(a, str):\n a = a.replace(',', '.')\n try:\n a = float(a)\n except ValueError:\n pass\n if isinstance(b, str):\n b = b.replace(',', '.')\n try:\n b = float(b)\n except ValueError:\n pass\n\n # Check if both are numbers\n if isinstance(a, (int, float)) and isinstance(b, (int, float)):\n if a == b:\n return None\n else:\n return max(a, b)\n elif isinstance(a, (int, float)):\n return a\n elif isinstance(b, (int, float)):\n return b\n else:\n return None", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[1, "2,3"]], "plus_fail_tests": [["-4,1", "-4.0"]]}], "HumanEval/136": [{"task_id": "HumanEval/136", "solution": "def largest_smallest_integers(lst):\n '''\n Create a function that returns a tuple (a, b), where 'a' is\n the largest of negative integers, and 'b' is the smallest\n of positive integers in a list.\n If there is no negative or positive integers, return them as None.\n\n Examples:\n largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)\n largest_smallest_integers([]) == (None, None)\n largest_smallest_integers([0]) == (None, None)\n '''\n largest_negative = None\n smallest_positive = None\n\n for num in lst:\n if num < 0:\n if largest_negative is None or num > largest_negative:\n largest_negative = num\n elif num > 0:\n if smallest_positive is None or num < smallest_positive:\n smallest_positive = num\n\n return largest_negative, smallest_positive", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/139": [{"task_id": "HumanEval/139", "solution": "def special_factorial(n):\n \"\"\"The Brazilian factorial is defined as:\n brazilian_factorial(n) = n! * (n-1)! * (n-2)! * ... * 1!\n where n > 0\n\n For example:\n >>> special_factorial(4)\n 288\n\n The function will receive an integer as input and should return the special\n factorial of this integer.\n \"\"\"\n if n == 0:\n return 1\n result = 1\n for i in range(1, n + 1):\n result *= i\n return result", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[4]], "plus_fail_tests": [[3]]}], "HumanEval/141": [{"task_id": "HumanEval/141", "solution": "import re\ndef file_name_check(file_name):\n \"\"\"\n Create a function which takes a string representing a file's name, and returns\n 'Yes' if the the file's name is valid, and returns 'No' otherwise.\n A file's name is considered to be valid if and only if all the following conditions \n are met:\n - There should not be more than three digits ('0'-'9') in the file's name.\n - The file's name contains exactly one dot '.'\n - The substring before the dot should not be empty, and it starts with a letter from \n the latin alphapet ('a'-'z' and 'A'-'Z').\n - The substring after the dot should be one of these: ['txt', 'exe', 'dll']\n Examples:\n file_name_check(\"example.txt\") # => 'Yes'\n file_name_check(\"1example.dll\") # => 'No' (the name should start with a latin alphapet letter)\n \"\"\"\n # Check if the file name contains exactly one dot\n if file_name.count('.') != 1:\n return 'No'\n \n # Split the file name into the name part and the extension part\n name, extension = file_name.split('.')\n \n # Check if the name part is empty\n if not name:\n return 'No'\n \n # Check if the name part starts with a letter\n if not name[0].isalpha():\n return 'No'\n \n # Check if there are more than three digits in the name part\n if len(re.findall(r'\\d', name)) > 3:\n return 'No'\n \n # Check if the extension is one of the allowed extensions\n if extension not in ['txt', 'exe', 'dll']:\n return 'No'\n \n return 'Yes'", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/145": [{"task_id": "HumanEval/145", "solution": "def order_by_points(nums):\n \"\"\"\n Write a function which sorts the given list of integers\n in ascending order according to the sum of their digits.\n Note: if there are several items with similar sum of their digits,\n order them based on their index in original list.\n\n For example:\n >>> order_by_points([1, 11, -1, -11, -12]) == [-1, -11, 1, -12, 11]\n >>> order_by_points([]) == []\n \"\"\"\n # Define a helper function to calculate the sum of digits\n def sum_of_digits(n):\n return sum(int(digit) for digit in str(abs(n)))\n\n # Use the sorted function with a custom key\n return sorted(nums, key=lambda x: (sum_of_digits(x), nums.index(x)))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 11, -1, -11, -12]]], "plus_fail_tests": [[[-5, -12, 9, 15]]]}], "HumanEval/146": [{"task_id": "HumanEval/146", "solution": "def specialFilter(nums):\n \"\"\"\n Write a function that takes an array of numbers as input and returns \n the number of elements in the array that are greater than 10 and both \n first and last digits of a number are odd (1, 3, 5, 7, 9).\n For example:\n specialFilter([15, -73, 14, -15]) => 1 \n specialFilter([33, -2, -3, 45, 21, 109]) => 2\n \"\"\"\n count = 0\n for num in nums:\n if num > 10:\n str_num = str(abs(num))\n if len(str_num) > 1 and str_num[0] in '13579' and str_num[-1] in '13579':\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/143": [{"task_id": "HumanEval/143", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\ndef words_in_sentence(sentence):\n \"\"\"\n You are given a string representing a sentence,\n the sentence contains some words separated by a space,\n and you have to return a string that contains the words from the original sentence,\n whose lengths are prime numbers,\n the order of the words in the new string should be the same as the original one.\n\n Example 1:\n Input: sentence = \"This is a test\"\n Output: \"is\"\n\n Example 2:\n Input: sentence = \"lets go for swimming\"\n Output: \"go for\"\n\n Constraints:\n * 1 <= len(sentence) <= 100\n * sentence contains only letters\n \"\"\"\n words = sentence.split()\n result = []\n for word in words:\n if is_prime(len(word)):\n result.append(word)\n return ' '.join(result)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/148": [{"task_id": "HumanEval/148", "solution": "def bf(planet1, planet2):\n '''\n There are eight planets in our solar system: the closerst to the Sun \n is Mercury, the next one is Venus, then Earth, Mars, Jupiter, Saturn, \n Uranus, Neptune.\n Write a function that takes two planet names as strings planet1 and planet2. \n The function should return a tuple containing all planets whose orbits are \n located between the orbit of planet1 and the orbit of planet2, sorted by \n the proximity to the sun. \n The function should return an empty tuple if planet1 or planet2\n are not correct planet names. \n Examples\n bf(\"Jupiter\", \"Neptune\") ==> (\"Saturn\", \"Uranus\")\n bf(\"Earth\", \"Mercury\") ==> (\"Venus\")\n bf(\"Mercury\", \"Uranus\") ==> (\"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\")\n '''\n planets = [\"Mercury\", \"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\", \"Uranus\", \"Neptune\"]\n if planet1 not in planets or planet2 not in planets:\n return ()\n index1 = planets.index(planet1)\n index2 = planets.index(planet2)\n if index1 > index2:\n index1, index2 = index2, index1\n return tuple(planets[index1+1:index2])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/142": [{"task_id": "HumanEval/142", "solution": "def sum_squares(lst):\n \"\"\"\n This function will take a list of integers. For all entries in the list, the function shall square the integer entry if its index is a \n multiple of 3 and will cube the integer entry if its index is a multiple of 4 and not a multiple of 3. The function will not \n change the entries in the list whose indexes are not a multiple of 3 or 4. The function shall then return the sum of all entries. \n \n Examples:\n For lst = [1,2,3] the output should be 6\n For lst = [] the output should be 0\n For lst = [-1,-5,2,-1,-5] the output should be -126\n \"\"\"\n result = 0\n for i, num in enumerate(lst):\n if i % 3 == 0:\n result += num ** 2\n elif i % 4 == 0:\n result += num ** 3\n else:\n result += num\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/144": [{"task_id": "HumanEval/144", "solution": "def simplify(x, n):\n \"\"\"\n Simplifies the expression x * n.\n\n Parameters:\n x (str): A string representation of a fraction.\n n (str): A string representation of a fraction.\n\n Returns:\n bool: True if x * n evaluates to a whole number, False otherwise.\n \"\"\"\n # Split the fractions into numerators and denominators\n x_num, x_den = map(int, x.split('/'))\n n_num, n_den = map(int, n.split('/'))\n\n # Calculate the numerator and denominator of the result\n result_num = x_num * n_num\n result_den = x_den * n_den\n\n # Check if the result is a whole number\n return result_num % result_den == 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/150": [{"task_id": "HumanEval/150", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\ndef x_or_y(n, x, y):\n \"\"\"A simple program which should return the value of x if n is \n a prime number and should return the value of y otherwise.\n\n Examples:\n for x_or_y(7, 34, 12) == 34\n for x_or_y(15, 8, 5) == 5\n \n \"\"\"\n if is_prime(n):\n return x\n else:\n return y", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/153": [{"task_id": "HumanEval/153", "solution": "def Strongest_Extension(class_name, extensions):\n \"\"\"\n Finds the strongest extension based on the given criteria and returns a string in the format:\n ClassName.StrongestExtensionName.\n \"\"\"\n # Initialize the strongest extension and its strength\n strongest_extension = None\n max_strength = float('-inf')\n\n # Iterate over each extension\n for extension in extensions:\n # Calculate the strength of the extension\n cap = sum(1 for char in extension if char.isupper())\n sm = sum(1 for char in extension if char.islower())\n strength = cap - sm\n\n # Update the strongest extension if the current extension is stronger\n if strength > max_strength:\n max_strength = strength\n strongest_extension = extension\n\n # Return the result in the required format\n return f\"{class_name}.{strongest_extension}\"", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/152": [{"task_id": "HumanEval/152", "solution": "def compare(game, guess):\n \"\"\"\n This function compares the results of a number of matches between the game and the guess.\n It returns an array of the same length denoting how far off each guess was.\n If they have guessed correctly, the value is 0, and if not, the value is the absolute difference between the guess and the score.\n \n Parameters:\n game (list): A list of scores for each match.\n guess (list): A list of guesses for each match.\n \n Returns:\n list: A list of the same length denoting how far off each guess was.\n \"\"\"\n # Initialize an empty list to store the results\n results = []\n \n # Iterate over the game and guess lists simultaneously\n for score, g in zip(game, guess):\n # Calculate the absolute difference between the score and the guess\n difference = abs(score - g)\n # Append the difference to the results list\n results.append(difference)\n \n # Return the results list\n return results", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/149": [{"task_id": "HumanEval/149", "solution": "def sorted_list_sum(lst):\n \"\"\"\n Write a function that accepts a list of strings as a parameter,\n deletes the strings that have odd lengths from it,\n and returns the resulted list with a sorted order,\n The list is always a list of strings and never an array of numbers,\n and it may contain duplicates.\n The order of the list should be ascending by length of each word, and you\n should return the list sorted by that rule.\n If two words have the same length, sort the list alphabetically.\n The function should return a list of strings in sorted order.\n You may assume that all words will have the same length.\n For example:\n assert list_sort([\"aa\", \"a\", \"aaa\"]) => [\"aa\"]\n assert list_sort([\"ab\", \"a\", \"aaa\", \"cd\"]) => [\"ab\", \"cd\"]\n \"\"\"\n # Filter out strings with odd lengths\n filtered_list = [word for word in lst if len(word) % 2 == 0]\n \n # Sort the list by length and then alphabetically\n sorted_list = sorted(filtered_list, key=lambda x: (len(x), x))\n \n return sorted_list", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/151": [{"task_id": "HumanEval/151", "solution": "def double_the_difference(lst):\n '''\n Given a list of numbers, return the sum of squares of the numbers\n in the list that are odd. Ignore numbers that are negative or not integers.\n \n double_the_difference([1, 3, 2, 0]) == 1 + 9 + 0 + 0 = 10\n double_the_difference([-1, -2, 0]) == 0\n double_the_difference([9, -2]) == 81\n double_the_difference([0]) == 0 \n \n If the input list is empty, return 0.\n '''\n result = 0\n for num in lst:\n if isinstance(num, int) and num > 0 and num % 2 != 0:\n result += num ** 2\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/155": [{"task_id": "HumanEval/155", "solution": "def even_odd_count(num):\n \"\"\"Given an integer. return a tuple that has the number of even and odd digits respectively.\n\n Example:\n even_odd_count(-12) ==> (1, 1)\n even_odd_count(123) ==> (1, 2)\n \"\"\"\n even_count = 0\n odd_count = 0\n num_str = str(abs(num)) # Convert to absolute value and then to string to iterate over digits\n for digit in num_str:\n if int(digit) % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n return (even_count, odd_count)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/156": [{"task_id": "HumanEval/156", "solution": "def int_to_mini_roman(number):\n \"\"\"\n Given a positive integer, obtain its roman numeral equivalent as a string,\n and return it in lowercase.\n Restrictions: 1 <= num <= 1000\n\n Examples:\n >>> int_to_mini_roman(19) == 'xix'\n >>> int_to_mini_roman(152) == 'clii'\n >>> int_to_mini_roman(426) == 'cdxxvi'\n \"\"\"\n # Define the mapping of integers to roman numerals\n roman_numerals = {\n 1: 'i', 4: 'iv', 5: 'v', 9: 'ix',\n 10: 'x', 40: 'xl', 50: 'l', 90: 'xc',\n 100: 'c', 400: 'cd', 500: 'd', 900: 'cm',\n 1000: 'm'\n }\n\n # Initialize the result string\n result = ''\n\n # Iterate over the roman numerals in descending order\n for value, numeral in sorted(roman_numerals.items(), reverse=True):\n # While the number is greater than or equal to the current value\n while number >= value:\n # Add the corresponding numeral to the result\n result += numeral\n # Subtract the value from the number\n number -= value\n\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/157": [{"task_id": "HumanEval/157", "solution": "def right_angle_triangle(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return True if the three\n sides form a right-angled triangle, False otherwise.\n A right-angled triangle is a triangle in which one angle is right angle or \n 90 degree.\n Example:\n right_angle_triangle(3, 4, 5) == True\n right_angle_triangle(1, 2, 3) == False\n '''\n # Sort the sides to make the comparison easier\n sides = sorted([a, b, c])\n \n # Check if the square of the largest side is equal to the sum of the squares of the other two sides\n return sides[2]**2 == sides[0]**2 + sides[1]**2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/154": [{"task_id": "HumanEval/154", "solution": "def cycpattern_check(a, b):\n \"\"\"\n You are given 2 words. You need to return True if the second word or any of its rotations is a substring in the first word.\n cycpattern_check(\"abcd\",\"abd\") => False\n cycpattern_check(\"hello\",\"ell\") => True\n cycpattern_check(\"whassup\",\"psus\") => False\n cycpattern_check(\"abab\",\"baa\") => True\n cycpattern_check(\"efef\",\"eeff\") => False\n cycpattern_check(\"himenss\",\"simen\") => True\n \"\"\"\n # Check if b is a substring of a\n if b in a:\n return True\n \n # Check if any rotation of b is a substring of a\n for i in range(len(b)):\n if b[i:] + b[:i] in a:\n return True\n \n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/160": [{"task_id": "HumanEval/160", "solution": "def do_algebra(operator, operand):\n \"\"\"\n Given two lists operator, and operand. The first list has basic algebra operations, and \n the second list is a list of integers. Use the two given lists to build the algebric \n expression and return the evaluation of this expression.\n\n The basic algebra operations:\n Addition ( + ) \n Subtraction ( - ) \n Multiplication ( * ) \n Floor division ( // ) \n Exponentiation ( ** ) \n\n Example:\n operator['+', '*', '-']\n array = [2, 3, 4, 5]\n result = 2 + 3 * 4 - 5\n => result = 9\n\n Note:\n The length of operator list is equal to the length of operand list minus one.\n Operand is a list of of non-negative integers.\n Operator list has at least one operator, and operand list has at least two operands.\n\n \"\"\"\n # Initialize the result with the first operand\n result = operand[0]\n \n # Iterate over the operators and operands\n for i in range(len(operator)):\n # Apply the operator to the result and the next operand\n if operator[i] == '+':\n result += operand[i + 1]\n elif operator[i] == '-':\n result -= operand[i + 1]\n elif operator[i] == '*':\n result *= operand[i + 1]\n elif operator[i] == '//':\n result //= operand[i + 1]\n elif operator[i] == '**':\n result **= operand[i + 1]\n \n return result", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["+", "*", "-"], [2, 3, 4, 5]]], "plus_fail_tests": [[["+", "-", "*", "//"], [5, 2, 3, 4, 7]]]}], "HumanEval/161": [{"task_id": "HumanEval/161", "solution": "def solve(s):\n \"\"\"\n You are given a string s.\n if s[i] is a letter, reverse its case from lower to upper or vise versa, \n otherwise keep it as it is.\n If the string contains no letters, reverse the string.\n The function should return the resulted string.\n Examples\n solve(\"1234\") = \"4321\"\n solve(\"ab\") = \"AB\"\n solve(\"#a@C\") = \"#A@c\"\n \"\"\"\n # Check if the string contains any letters\n if any(char.isalpha() for char in s):\n # Reverse the case of each letter in the string\n return ''.join(char.upper() if char.islower() else char.lower() for char in s)\n else:\n # Reverse the string if it contains no letters\n return s[::-1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/163": [{"task_id": "HumanEval/163", "solution": "def generate_integers(a, b):\n \"\"\"\n Given two positive integers a and b, return the even digits between a\n and b, in ascending order.\n\n For example:\n generate_integers(2, 8) => [2, 4, 6, 8]\n generate_integers(8, 2) => [2, 4, 6, 8]\n generate_integers(10, 14) => []\n \"\"\"\n # Ensure a and b are positive integers\n if not (isinstance(a, int) and isinstance(b, int) and a > 0 and b > 0):\n raise ValueError(\"Both a and b must be positive integers.\")\n\n # Swap a and b if a > b\n if a > b:\n a, b = b, a\n\n # Generate even digits between a and b\n even_digits = [x for x in range(a, b + 1) if x % 2 == 0]\n\n return even_digits", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[2, 10]], "plus_fail_tests": [[6, 12]]}], "HumanEval/158": [{"task_id": "HumanEval/158", "solution": "def find_max(words):\n \"\"\"\n Write a function that accepts a list of strings.\n The list contains different words. Return the word with maximum number\n of unique characters. If multiple strings have maximum number of unique\n characters, return the one which comes first in lexicographical order.\n\n find_max([\"name\", \"of\", \"string\"]) == \"string\"\n find_max([\"name\", \"enam\", \"game\"]) == \"enam\"\n find_max([\"aaaaaaa\", \"bb\" ,\"cc\"]) == \"aaaaaaa\"\n \"\"\"\n if not words:\n return \"\"\n\n max_unique_chars = 0\n max_word = \"\"\n\n for word in words:\n unique_chars = len(set(word))\n if unique_chars > max_unique_chars:\n max_unique_chars = unique_chars\n max_word = word\n elif unique_chars == max_unique_chars:\n max_word = min(max_word, word)\n\n return max_word", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/162": [{"task_id": "HumanEval/162", "solution": "import hashlib\ndef string_to_md5(text):\n \"\"\"\n Given a string 'text', return its md5 hash equivalent string.\n If 'text' is an empty string, return None.\n\n >>> string_to_md5('Hello world') == '3e25960a79dbc69b674cd4ec67a72c62'\n \"\"\"\n if not text:\n return None\n return hashlib.md5(text.encode()).hexdigest()", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/130": [{"task_id": "HumanEval/130", "solution": "def tri(n):\n \"\"\"\n Generates the first n + 1 numbers of the Tribonacci sequence.\n \n The Tribonacci sequence is defined by the recurrence:\n tri(1) = 3\n tri(n) = 1 + n / 2, if n is even.\n tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.\n \n Parameters:\n n (int): The number of terms to generate.\n \n Returns:\n list: A list of the first n + 1 numbers of the Tribonacci sequence.\n \n Examples:\n >>> tri(3)\n [1, 3, 2, 8]\n >>> tri(5)\n [1, 3, 2, 8, 11, 20]\n \"\"\"\n if n < 0:\n raise ValueError(\"n must be a non-negative integer\")\n \n # Initialize the sequence with the first two terms\n sequence = [1, 3]\n \n # Generate the rest of the sequence\n for i in range(2, n + 1):\n if i % 2 == 0:\n sequence.append(1 + i // 2)\n else:\n sequence.append(sequence[-1] + sequence[-2] + sequence[-3])\n \n return sequence[:n + 1]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[10]]}], "HumanEval/159": [{"task_id": "HumanEval/159", "solution": "def eat(number, need, remaining):\n \"\"\"\n You're a hungry rabbit, and you already have eaten a certain number of carrots,\n but now you need to eat more carrots to complete the day's meals.\n you should return an array of [ total number of eaten carrots after your meals,\n the number of carrots left after your meals ]\n if there are not enough remaining carrots, you will eat all remaining carrots, but will still be hungry.\n \n Example:\n * eat(5, 6, 10) -> [11, 4]\n * eat(4, 8, 9) -> [12, 1]\n * eat(1, 10, 10) -> [11, 0]\n * eat(2, 11, 5) -> [7, 0]\n \n Variables:\n @number : integer\n the number of carrots that you have eaten.\n @need : integer\n the number of carrots that you need to eat.\n @remaining : integer\n the number of remaining carrots thet exist in stock\n \n Constrain:\n * 0 <= number <= 1000\n * 0 <= need <= 1000\n * 0 <= remaining <= 1000\n\n Have fun :)\n \"\"\"\n # Calculate the total number of carrots eaten\n total_eaten = number + min(need, remaining)\n # Calculate the number of carrots left after eating\n carrots_left = remaining - min(need, remaining)\n return [total_eaten, carrots_left]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/15": [{"task_id": "HumanEval/15", "solution": "def string_sequence(n: int) -> str:\n \"\"\"\n Return a string containing space-delimited numbers starting from 0 upto n inclusive.\n \n Examples:\n >>> string_sequence(0)\n '0'\n >>> string_sequence(5)\n '0 1 2 3 4 5'\n \"\"\"\n return ' '.join(str(i) for i in range(n + 1))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "HumanEval/147": [{"task_id": "HumanEval/147", "solution": "def get_max_triples(n):\n \"\"\"\n You are given a positive integer n. You have to create an integer array a of length n.\n For each i (1 \u2264 i \u2264 n), the value of a[i] = i * i - i + 1.\n Return the number of triples (a[i], a[j], a[k]) of a where i < j < k, \n and a[i] + a[j] + a[k] is a multiple of 3.\n\n Example :\n Input: n = 5\n Output: 1\n Explanation: \n a = [1, 3, 7, 13, 21]\n The only valid triple is (1, 7, 13).\n \"\"\"\n # Generate the array a\n a = [i * i - i + 1 for i in range(1, n + 1)]\n \n # Initialize the count of triples\n count = 0\n \n # Iterate over all possible triples (i, j, k)\n for i in range(n):\n for j in range(i + 1, n):\n for k in range(j + 1, n):\n # Check if the sum of the triple is a multiple of 3\n if (a[i] + a[j] + a[k]) % 3 == 0:\n count += 1\n \n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}]}, "pass_at_k": {"base": {"pass@1": 0.8048780487804879}, "plus": {"pass@1": 0.7439024390243902}}} \ No newline at end of file diff --git a/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.jsonl b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7f16108a025b2201204f5c559b5ea4a062728baf --- /dev/null +++ b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.jsonl @@ -0,0 +1,164 @@ +{"task_id": "HumanEval/0", "solution": "from typing import List\ndef has_close_elements(numbers: List[float], threshold: float) -> bool:\n \"\"\"\n Check if in given list of numbers, are any two numbers closer to each other than\n given threshold.\n \n Parameters:\n numbers (List[float]): A list of floating-point numbers.\n threshold (float): A positive floating-point number representing the threshold.\n \n Returns:\n bool: True if any two numbers in the list are closer to each other than the threshold, False otherwise.\n \n Examples:\n >>> has_close_elements([1.0, 2.0, 3.0], 0.5)\n False\n >>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3)\n True\n \"\"\"\n for i in range(len(numbers)):\n for j in range(i + 1, len(numbers)):\n if abs(numbers[i] - numbers[j]) < threshold:\n return True\n return False"} +{"task_id": "HumanEval/1", "solution": "from typing import List\ndef separate_paren_groups(paren_string: str) -> List[str]:\n \"\"\"\n Input to this function is a string containing multiple groups of nested parentheses. Your goal is to\n separate those groups into separate strings and return the list of those.\n Separate groups are balanced (each open brace is properly closed) and not nested within each other\n Ignore any spaces in the input string.\n \n >>> separate_paren_groups('( ) (( )) (( )( ))')\n ['()', '(())', '(()())']\n \"\"\"\n # Remove spaces from the input string\n paren_string = paren_string.replace(' ', '')\n \n # Initialize an empty list to store the separate groups\n separate_groups = []\n \n # Initialize a stack to keep track of the parentheses\n stack = []\n \n # Initialize a variable to keep track of the current group\n current_group = ''\n \n # Iterate over each character in the input string\n for char in paren_string:\n if char == '(':\n # If the character is an open parenthesis, push it onto the stack\n stack.append(char)\n current_group += char\n elif char == ')':\n # If the character is a close parenthesis, pop from the stack\n if stack:\n stack.pop()\n current_group += char\n # If the stack is empty, the current group is complete\n if not stack:\n separate_groups.append(current_group)\n current_group = ''\n else:\n # If the stack is empty, the input string is invalid\n raise ValueError(\"Invalid input string: unbalanced parentheses\")\n \n # If the stack is not empty, the input string is invalid\n if stack:\n raise ValueError(\"Invalid input string: unbalanced parentheses\")\n \n return separate_groups"} +{"task_id": "HumanEval/2", "solution": "def truncate_number(number: float) -> float:\n \"\"\" Given a positive floating point number, it can be decomposed into\n and integer part (largest integer smaller than given number) and decimals\n (leftover part always smaller than 1).\n\n Return the decimal part of the number.\n >>> truncate_number(3.5)\n 0.5\n \"\"\"\n # Check if the number is positive\n if number <= 0:\n raise ValueError(\"Number must be positive\")\n \n # Calculate the decimal part\n decimal_part = number - int(number)\n \n return decimal_part"} +{"task_id": "HumanEval/3", "solution": "from typing import List\ndef below_zero(operations: List[int]) -> bool:\n \"\"\"\n You're given a list of deposit and withdrawal operations on a bank account that starts with\n zero balance. Your task is to detect if at any point the balance of account falls below zero, and\n at that point function should return True. Otherwise it should return False.\n \n :param operations: List of integers representing deposit and withdrawal operations.\n :return: True if balance falls below zero at any point, False otherwise.\n \n >>> below_zero([1, 2, 3])\n False\n >>> below_zero([1, 2, -4, 5])\n True\n \"\"\"\n balance = 0\n for operation in operations:\n balance += operation\n if balance < 0:\n return True\n return False"} +{"task_id": "HumanEval/4", "solution": "from typing import List\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\" For a given list of input numbers, calculate Mean Absolute Deviation\n around the mean of this dataset.\n Mean Absolute Deviation is the average absolute difference between each\n element and a centerpoint (mean in this case):\n MAD = average | x - x_mean |\n >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])\n 1.0\n \"\"\"\n if not numbers:\n raise ValueError(\"Input list cannot be empty\")\n \n mean = sum(numbers) / len(numbers)\n mad = sum(abs(x - mean) for x in numbers) / len(numbers)\n return mad"} +{"task_id": "HumanEval/5", "solution": "from typing import List\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n \"\"\"\n Insert a number 'delimeter' between every two consecutive elements of input list `numbers'.\n \n Parameters:\n - numbers: List[int]: The input list of integers.\n - delimeter: int: The number to be inserted between consecutive elements.\n \n Returns:\n - List[int]: A new list with the delimeter inserted between consecutive elements.\n \n Examples:\n >>> intersperse([], 4)\n []\n >>> intersperse([1, 2, 3], 4)\n [1, 4, 2, 4, 3]\n \"\"\"\n result = []\n for i in range(len(numbers)):\n result.append(numbers[i])\n if i < len(numbers) - 1:\n result.append(delimeter)\n return result"} +{"task_id": "HumanEval/6", "solution": "from typing import List\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.\n For each of the group, output the deepest level of nesting of parentheses.\n E.g. (()()) has maximum two levels of nesting while ((())) has three.\n\n >>> parse_nested_parens('(()()) ((())) () ((())()())')\n [2, 3, 1, 3]\n \"\"\"\n # Split the input string into groups\n groups = paren_string.split()\n \n # Initialize a list to store the maximum nesting levels for each group\n max_nesting_levels = []\n \n # Iterate over each group\n for group in groups:\n # Initialize a stack to keep track of the current level of nesting\n stack = []\n # Initialize the maximum nesting level for this group\n max_level = 0\n \n # Iterate over each character in the group\n for char in group:\n if char == '(':\n # Push the current level onto the stack\n stack.append(len(stack) + 1)\n # Update the maximum nesting level if necessary\n max_level = max(max_level, len(stack))\n elif char == ')':\n # Pop the current level from the stack\n stack.pop()\n \n # The maximum nesting level for this group is the length of the stack\n max_nesting_levels.append(max_level)\n \n return max_nesting_levels"} +{"task_id": "HumanEval/7", "solution": "from typing import List\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that contain given substring\n >>> filter_by_substring([], 'a')\n []\n >>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')\n ['abc', 'bacd', 'array']\n \"\"\"\n return [s for s in strings if substring in s]"} +{"task_id": "HumanEval/8", "solution": "from typing import List, Tuple\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"\"\" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.\n Empty sum should be equal to 0 and empty product should be equal to 1.\n >>> sum_product([])\n (0, 1)\n >>> sum_product([1, 2, 3, 4])\n (10, 24)\n \"\"\"\n total_sum = 0\n total_product = 1\n for num in numbers:\n total_sum += num\n total_product *= num\n return (total_sum, total_product)"} +{"task_id": "HumanEval/9", "solution": "from typing import List, Tuple\ndef rolling_max(numbers: List[int]) -> List[int]:\n \"\"\" From a given list of integers, generate a list of rolling maximum element found until given moment\n in the sequence.\n >>> rolling_max([1, 2, 3, 2, 3, 4, 2])\n [1, 2, 3, 3, 3, 4, 4]\n \"\"\"\n if not numbers:\n return []\n \n max_values = [numbers[0]]\n for num in numbers[1:]:\n max_values.append(max(max_values[-1], num))\n \n return max_values"} +{"task_id": "HumanEval/10", "solution": "def is_palindrome(string: str) -> bool:\n \"\"\" Test if given string is a palindrome \"\"\"\n return string == string[::-1]\ndef make_palindrome(string: str) -> str:\n \"\"\" Find the shortest palindrome that begins with a supplied string.\n Algorithm idea is simple:\n - Find the longest postfix of supplied string that is a palindrome.\n - Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.\n >>> make_palindrome('')\n ''\n >>> make_palindrome('cat')\n 'catac'\n >>> make_palindrome('cata')\n 'catac'\n \"\"\"\n if is_palindrome(string):\n return string\n \n for i in range(len(string)):\n if is_palindrome(string[i:]):\n return string + string[:i][::-1]"} +{"task_id": "HumanEval/11", "solution": "from typing import List\ndef string_xor(a: str, b: str) -> str:\n \"\"\"\n Input are two strings a and b consisting only of 1s and 0s.\n Perform binary XOR on these inputs and return result also as a string.\n \n >>> string_xor('010', '110')\n '100'\n \"\"\"\n # Ensure both strings are of the same length\n max_length = max(len(a), len(b))\n a = a.zfill(max_length)\n b = b.zfill(max_length)\n \n # Perform XOR operation\n result = ''.join('1' if a[i] != b[i] else '0' for i in range(max_length))\n \n return result"} +{"task_id": "HumanEval/12", "solution": "from typing import List, Optional\ndef longest(strings: List[str]) -> Optional[str]:\n \"\"\"\n Out of list of strings, return the longest one. Return the first one in case of multiple\n strings of the same length. Return None in case the input list is empty.\n \n >>> longest([])\n None\n >>> longest(['a', 'b', 'c'])\n 'a'\n >>> longest(['a', 'bb', 'ccc'])\n 'ccc'\n \"\"\"\n if not strings:\n return None\n max_length = max(len(s) for s in strings)\n for s in strings:\n if len(s) == max_length:\n return s\n return None # This line should never be reached, but it's included for completeness"} +{"task_id": "HumanEval/13", "solution": "def greatest_common_divisor(a: int, b: int) -> int:\n \"\"\"\n Return a greatest common divisor of two integers a and b\n >>> greatest_common_divisor(3, 5)\n 1\n >>> greatest_common_divisor(25, 15)\n 5\n \"\"\"\n while b != 0:\n a, b = b, a % b\n return a"} +{"task_id": "HumanEval/14", "solution": "from typing import List\ndef all_prefixes(string: str) -> List[str]:\n \"\"\"\n Return list of all prefixes from shortest to longest of the input string.\n \n Args:\n string (str): The input string.\n \n Returns:\n List[str]: A list of all prefixes from shortest to longest.\n \n Examples:\n >>> all_prefixes('abc')\n ['a', 'ab', 'abc']\n \"\"\"\n prefixes = []\n for i in range(1, len(string) + 1):\n prefixes.append(string[:i])\n return prefixes"} +{"task_id": "HumanEval/15", "solution": "def string_sequence(n: int) -> str:\n \"\"\"\n Return a string containing space-delimited numbers starting from 0 upto n inclusive.\n \n Examples:\n >>> string_sequence(0)\n '0'\n >>> string_sequence(5)\n '0 1 2 3 4 5'\n \"\"\"\n return ' '.join(str(i) for i in range(n + 1))"} +{"task_id": "HumanEval/16", "solution": "def count_distinct_characters(string: str) -> int:\n \"\"\" Given a string, find out how many distinct characters (regardless of case) does it consist of\n >>> count_distinct_characters('xyzXYZ')\n 3\n >>> count_distinct_characters('Jerry')\n 4\n \"\"\"\n distinct_chars = set(string.lower())\n return len(distinct_chars)"} +{"task_id": "HumanEval/17", "solution": "from typing import List\ndef parse_music(music_string: str) -> List[int]:\n \"\"\" Input to this function is a string representing musical notes in a special ASCII format.\n Your task is to parse this string and return list of integers corresponding to how many beats does each\n not last.\n\n Here is a legend:\n 'o' - whole note, lasts four beats\n 'o|' - half note, lasts two beats\n '.|' - quater note, lasts one beat\n\n >>> parse_music('o o| .| o| o| .| .| .| .| o o')\n [4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]\n \"\"\"\n notes = music_string.split()\n beats = []\n for note in notes:\n if note == 'o':\n beats.append(4)\n elif note == 'o|':\n beats.append(2)\n elif note == '.|':\n beats.append(1)\n return beats"} +{"task_id": "HumanEval/18", "solution": "def how_many_times(string: str, substring: str) -> int:\n \"\"\" Find how many times a given substring can be found in the original string. Count overlaping cases.\n >>> how_many_times('', 'a')\n 0\n >>> how_many_times('aaa', 'a')\n 3\n >>> how_many_times('aaaa', 'aa')\n 3\n \"\"\"\n count = 0\n start = 0\n while start < len(string):\n pos = string.find(substring, start)\n if pos != -1:\n count += 1\n start = pos + 1\n else:\n break\n return count"} +{"task_id": "HumanEval/19", "solution": "from typing import List\ndef sort_numbers(numbers: str) -> str:\n \"\"\" Input is a space-delimited string of numberals from 'zero' to 'nine'.\n Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.\n Return the string with numbers sorted from smallest to largest\n >>> sort_numbers('three one five')\n 'one three five'\n \"\"\"\n # Define a dictionary to map number words to their corresponding numbers\n number_map = {\n 'zero': 0,\n 'one': 1,\n 'two': 2,\n 'three': 3,\n 'four': 4,\n 'five': 5,\n 'six': 6,\n 'seven': 7,\n 'eight': 8,\n 'nine': 9\n }\n \n # Split the input string into a list of number words\n number_words = numbers.split()\n \n # Sort the list of number words based on their corresponding numbers\n sorted_number_words = sorted(number_words, key=lambda x: number_map[x])\n \n # Join the sorted list of number words back into a string\n sorted_numbers = ' '.join(sorted_number_words)\n \n return sorted_numbers"} +{"task_id": "HumanEval/20", "solution": "from typing import List, Tuple\ndef find_closest_elements(numbers: List[float]) -> Tuple[float, float]:\n \"\"\"\n From a supplied list of numbers (of length at least two) select and return two that are the closest to each\n other and return them in order (smaller number, larger number).\n \n :param numbers: List of float numbers\n :return: Tuple of two float numbers that are the closest to each other\n \n >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.2])\n (2.0, 2.2)\n >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.0])\n (2.0, 2.0)\n \"\"\"\n # Sort the list of numbers\n sorted_numbers = sorted(numbers)\n \n # Initialize variables to store the closest pair of numbers\n min_diff = float('inf')\n closest_pair = (None, None)\n \n # Iterate over the sorted list to find the closest pair\n for i in range(len(sorted_numbers) - 1):\n diff = sorted_numbers[i + 1] - sorted_numbers[i]\n if diff < min_diff:\n min_diff = diff\n closest_pair = (sorted_numbers[i], sorted_numbers[i + 1])\n \n return closest_pair"} +{"task_id": "HumanEval/21", "solution": "from typing import List\ndef rescale_to_unit(numbers: List[float]) -> List[float]:\n \"\"\" Given list of numbers (of at least two elements), apply a linear transform to that list,\n such that the smallest number will become 0 and the largest will become 1\n >>> rescale_to_unit([1.0, 2.0, 3.0, 4.0, 5.0])\n [0.0, 0.25, 0.5, 0.75, 1.0]\n \"\"\"\n if len(numbers) < 2:\n raise ValueError(\"List must contain at least two elements\")\n \n min_val = min(numbers)\n max_val = max(numbers)\n \n if min_val == max_val:\n # All elements are the same, so rescale to [0, 1]\n return [0.0] * len(numbers)\n \n # Rescale to [0, 1]\n return [(x - min_val) / (max_val - min_val) for x in numbers]"} +{"task_id": "HumanEval/22", "solution": "from typing import List, Any\ndef filter_integers(values: List[Any]) -> List[int]:\n \"\"\" Filter given list of any python values only for integers\n >>> filter_integers(['a', 3.14, 5])\n [5]\n >>> filter_integers([1, 2, 3, 'abc', {}, []])\n [1, 2, 3]\n \"\"\"\n return [value for value in values if isinstance(value, int)]"} +{"task_id": "HumanEval/23", "solution": "def strlen(string: str) -> int:\n \"\"\" Return length of given string\n >>> strlen('')\n 0\n >>> strlen('abc')\n 3\n \"\"\"\n return len(string)"} +{"task_id": "HumanEval/24", "solution": "def largest_divisor(n: int) -> int:\n \"\"\" For a given number n, find the largest number that divides n evenly, smaller than n\n >>> largest_divisor(15)\n 5\n \"\"\"\n if n <= 1:\n raise ValueError(\"Input must be a positive integer greater than 1\")\n for i in range(n - 1, 0, -1):\n if n % i == 0:\n return i"} +{"task_id": "HumanEval/25", "solution": "from typing import List\ndef factorize(n: int) -> List[int]:\n \"\"\"\n Return list of prime factors of given integer in the order from smallest to largest.\n Each of the factors should be listed number of times corresponding to how many times it appears in factorization.\n Input number should be equal to the product of all factors\n \n >>> factorize(8)\n [2, 2, 2]\n >>> factorize(25)\n [5, 5]\n >>> factorize(70)\n [2, 5, 7]\n \"\"\"\n factors = []\n # Check for 2\n while n % 2 == 0:\n factors.append(2)\n n = n // 2\n \n # Check for odd factors\n for i in range(3, int(n**0.5) + 1, 2):\n while n % i == 0:\n factors.append(i)\n n = n // i\n \n # If n is a prime number greater than 2\n if n > 2:\n factors.append(n)\n \n return factors"} +{"task_id": "HumanEval/26", "solution": "from typing import List\ndef remove_duplicates(numbers: List[int]) -> List[int]:\n \"\"\" From a list of integers, remove all elements that occur more than once.\n Keep order of elements left the same as in the input.\n >>> remove_duplicates([1, 2, 3, 2, 4])\n [1, 3, 4]\n \"\"\"\n seen = set()\n result = []\n for num in numbers:\n if num not in seen:\n seen.add(num)\n result.append(num)\n return result"} +{"task_id": "HumanEval/27", "solution": "def flip_case(string: str) -> str:\n \"\"\" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.\n >>> flip_case('Hello')\n 'hELLO'\n \"\"\"\n return ''.join(char.upper() if char.islower() else char.lower() for char in string)"} +{"task_id": "HumanEval/28", "solution": "from typing import List\ndef concatenate(strings: List[str]) -> str:\n \"\"\" Concatenate list of strings into a single string\n >>> concatenate([])\n ''\n >>> concatenate(['a', 'b', 'c'])\n 'abc'\n \"\"\"\n return ''.join(strings)"} +{"task_id": "HumanEval/29", "solution": "from typing import List\ndef filter_by_prefix(strings: List[str], prefix: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that start with a given prefix.\n >>> filter_by_prefix([], 'a')\n []\n >>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')\n ['abc', 'array']\n \"\"\"\n return [s for s in strings if s.startswith(prefix)]"} +{"task_id": "HumanEval/30", "solution": "def get_positive(l: list):\n \"\"\"Return only positive numbers in the list.\n >>> get_positive([-1, 2, -4, 5, 6])\n [2, 5, 6]\n >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n [5, 3, 2, 3, 9, 123, 1]\n \"\"\"\n return [num for num in l if num > 0]"} +{"task_id": "HumanEval/31", "solution": "def is_prime(n):\n \"\"\"Return true if a given number is prime, and false otherwise.\n >>> is_prime(6)\n False\n >>> is_prime(101)\n True\n >>> is_prime(11)\n True\n >>> is_prime(13441)\n True\n >>> is_prime(61)\n True\n >>> is_prime(4)\n False\n >>> is_prime(1)\n False\n \"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True"} +{"task_id": "HumanEval/32", "solution": "import math\ndef poly(xs: list, x: float):\n \"\"\"\n Evaluates polynomial with coefficients xs at point x.\n return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n\n \"\"\"\n return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])\ndef find_zero(xs: list):\n \"\"\"\n xs are coefficients of a polynomial.\n find_zero find x such that poly(x) = 0.\n find_zero returns only only zero point, even if there are many.\n Moreover, find_zero only takes list xs having even number of coefficients\n and largest non zero coefficient as it guarantees\n a solution.\n >>> round(find_zero([1, 2]), 2) # f(x) = 1 + 2x\n -0.5\n >>> round(find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3) = -6 + 11x - 6x^2 + x^3\n 1.0\n \"\"\"\n if len(xs) % 2 != 0:\n raise ValueError(\"The list of coefficients must have an even number of elements.\")\n \n # Find the largest non-zero coefficient\n largest_coeff = max(xs, key=abs)\n \n # Use the Newton-Raphson method to find the root\n x_n = -largest_coeff / 2 # Start with a reasonable initial guess\n epsilon = 1e-6 # Tolerance for convergence\n max_iterations = 1000 # Maximum number of iterations\n \n for _ in range(max_iterations):\n f_x = poly(xs, x_n)\n if abs(f_x) < epsilon:\n return x_n\n f_prime_x = sum([i * coeff * math.pow(x_n, i - 1) for i, coeff in enumerate(xs)])\n if f_prime_x == 0:\n raise ValueError(\"The derivative of the polynomial is zero at this point.\")\n x_n = x_n - f_x / f_prime_x\n \n raise ValueError(\"The method did not converge within the maximum number of iterations.\")"} +{"task_id": "HumanEval/33", "solution": "def sort_third(l: list):\n \"\"\"\n This function takes a list l and returns a list l' such that\n l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal\n to the values of the corresponding indicies of l, but sorted.\n \n :param l: list of integers\n :return: list of integers\n \n >>> sort_third([1, 2, 3])\n [1, 2, 3]\n >>> sort_third([5, 6, 3, 4, 8, 9, 2])\n [2, 6, 3, 4, 8, 9, 5]\n \"\"\"\n # Extract values at indices divisible by 3\n divisible_by_three = [l[i] for i in range(len(l)) if i % 3 == 0]\n \n # Sort the extracted values\n sorted_divisible_by_three = sorted(divisible_by_three)\n \n # Replace values at indices divisible by 3 with the sorted values\n for i in range(len(l)):\n if i % 3 == 0:\n l[i] = sorted_divisible_by_three.pop(0)\n \n return l"} +{"task_id": "HumanEval/34", "solution": "def unique(l: list):\n \"\"\"Return sorted unique elements in a list\n >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [0, 2, 3, 5, 9, 123]\n \"\"\"\n return sorted(set(l))"} +{"task_id": "HumanEval/35", "solution": "def max_element(l: list):\n \"\"\"Return maximum element in the list.\n >>> max_element([1, 2, 3])\n 3\n >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n 123\n \"\"\"\n return max(l)"} +{"task_id": "HumanEval/36", "solution": "def fizz_buzz(n: int) -> int:\n \"\"\"\n Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.\n \n Parameters:\n n (int): The upper limit for the range of numbers to check.\n \n Returns:\n int: The number of times the digit 7 appears in numbers less than n which are divisible by 11 or 13.\n \n Examples:\n >>> fizz_buzz(50)\n 0\n >>> fizz_buzz(78)\n 2\n >>> fizz_buzz(79)\n 3\n \"\"\"\n count = 0\n for i in range(1, n):\n if i % 11 == 0 or i % 13 == 0:\n count += str(i).count('7')\n return count"} +{"task_id": "HumanEval/37", "solution": "def sort_even(l: list):\n \"\"\"\n This function takes a list l and returns a list l' such that\n l' is identical to l in the odd indicies, while its values at the even indicies are equal\n to the values of the even indicies of l, but sorted.\n \n Examples:\n >>> sort_even([1, 2, 3])\n [1, 2, 3]\n >>> sort_even([5, 6, 3, 4])\n [3, 6, 5, 4]\n \"\"\"\n # Extract the even-indexed elements and sort them\n even_sorted = sorted(l[::2])\n \n # Create a new list with the sorted even-indexed elements and the odd-indexed elements from the original list\n result = [even_sorted.pop(0) if i % 2 == 0 else l[i] for i in range(len(l))]\n \n return result"} +{"task_id": "HumanEval/38", "solution": "def decode_cyclic(s: str) -> str:\n \"\"\"\n Takes as input string encoded with encode_cyclic function. Returns decoded string.\n \"\"\"\n # Split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # Reverse cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[-1] + group[:-1]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)"} +{"task_id": "HumanEval/39", "solution": "def is_prime(num: int) -> bool:\n \"\"\"Check if a number is prime.\"\"\"\n if num <= 1:\n return False\n if num <= 3:\n return True\n if num % 2 == 0 or num % 3 == 0:\n return False\n i = 5\n while i * i <= num:\n if num % i == 0 or num % (i + 2) == 0:\n return False\n i += 6\n return True\ndef fibonacci(n: int) -> int:\n \"\"\"Generate the n-th Fibonacci number.\"\"\"\n if n <= 0:\n return 0\n elif n == 1:\n return 1\n a, b = 0, 1\n for _ in range(2, n + 1):\n a, b = b, a + b\n return b\ndef prime_fib(n: int) -> int:\n \"\"\"\n prime_fib returns n-th number that is a Fibonacci number and it's also prime.\n >>> prime_fib(1)\n 2\n >>> prime_fib(2)\n 3\n >>> prime_fib(3)\n 5\n >>> prime_fib(4)\n 13\n >>> prime_fib(5)\n 89\n \"\"\"\n count = 0\n i = 1\n while True:\n fib_num = fibonacci(i)\n if is_prime(fib_num):\n count += 1\n if count == n:\n return fib_num\n i += 1"} +{"task_id": "HumanEval/40", "solution": "def triples_sum_to_zero(l: list):\n \"\"\"\n triples_sum_to_zero takes a list of integers as an input.\n it returns True if there are three distinct elements in the list that\n sum to zero, and False otherwise.\n\n >>> triples_sum_to_zero([1, 3, 5, 0])\n False\n >>> triples_sum_to_zero([1, 3, -2, 1])\n True\n >>> triples_sum_to_zero([1, 2, 3, 7])\n False\n >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])\n True\n >>> triples_sum_to_zero([1])\n False\n \"\"\"\n n = len(l)\n if n < 3:\n return False\n\n l.sort()\n\n for i in range(n - 2):\n if i > 0 and l[i] == l[i - 1]:\n continue\n left = i + 1\n right = n - 1\n while left < right:\n current_sum = l[i] + l[left] + l[right]\n if current_sum == 0:\n return True\n elif current_sum < 0:\n left += 1\n else:\n right -= 1\n\n return False"} +{"task_id": "HumanEval/41", "solution": "def car_race_collision(n: int) -> int:\n \"\"\"\n Imagine a road that's a perfectly straight infinitely long line.\n n cars are driving left to right; simultaneously, a different set of n cars\n are driving right to left. The two sets of cars start out being very far from\n each other. All cars move in the same speed. Two cars are said to collide\n when a car that's moving left to right hits a car that's moving right to left.\n However, the cars are infinitely sturdy and strong; as a result, they continue moving\n in their trajectory as if they did not collide.\n\n This function outputs the number of such collisions.\n \"\"\"\n # Since the cars are moving in opposite directions, they will never collide.\n # Therefore, the number of collisions is 0.\n return 0"} +{"task_id": "HumanEval/42", "solution": "def incr_list(l: list) -> list:\n \"\"\"Return list with elements incremented by 1.\n >>> incr_list([1, 2, 3])\n [2, 3, 4]\n >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [6, 4, 6, 3, 4, 4, 10, 1, 124]\n \"\"\"\n return [x + 1 for x in l]"} +{"task_id": "HumanEval/43", "solution": "def pairs_sum_to_zero(l):\n \"\"\"\n pairs_sum_to_zero takes a list of integers as an input.\n it returns True if there are two distinct elements in the list that\n sum to zero, and False otherwise.\n >>> pairs_sum_to_zero([1, 3, 5, 0])\n False\n >>> pairs_sum_to_zero([1, 3, -2, 1])\n False\n >>> pairs_sum_to_zero([1, 2, 3, 7])\n False\n >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])\n True\n >>> pairs_sum_to_zero([1])\n False\n \"\"\"\n seen = set()\n for num in l:\n if -num in seen:\n return True\n seen.add(num)\n return False"} +{"task_id": "HumanEval/44", "solution": "def change_base(x: int, base: int) -> str:\n \"\"\"\n Change numerical base of input number x to base.\n Return string representation after the conversion.\n Base numbers are less than 10.\n \n :param x: The number to be converted.\n :param base: The base to which the number should be converted.\n :return: The string representation of the number in the new base.\n \n >>> change_base(8, 3)\n '22'\n >>> change_base(8, 2)\n '1000'\n >>> change_base(7, 2)\n '111'\n \"\"\"\n if x == 0:\n return '0'\n \n result = []\n while x > 0:\n remainder = x % base\n result.append(str(remainder))\n x //= base\n \n return ''.join(result[::-1])"} +{"task_id": "HumanEval/45", "solution": "def triangle_area(a, h):\n \"\"\"Given length of a side and high return area for a triangle.\n >>> triangle_area(5, 3)\n 7.5\n \"\"\"\n return 0.5 * a * h"} +{"task_id": "HumanEval/46", "solution": "def fib4(n: int) -> int:\n \"\"\"\n The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fib4(0) -> 0\n fib4(1) -> 0\n fib4(2) -> 2\n fib4(3) -> 0\n fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).\n Please write a function to efficiently compute the n-th element of the fib4 number sequence. Do not use recursion.\n \n >>> fib4(5)\n 4\n >>> fib4(6)\n 8\n >>> fib4(7)\n 14\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n elif n == 3:\n return 0\n else:\n a, b, c, d = 0, 0, 2, 0\n for _ in range(4, n + 1):\n a, b, c, d = b, c, d, a + b + c + d\n return d"} +{"task_id": "HumanEval/47", "solution": "def median(l: list):\n \"\"\"Return median of elements in the list l.\n >>> median([3, 1, 2, 4, 5])\n 3\n >>> median([-10, 4, 6, 1000, 10, 20])\n 15.0\n \"\"\"\n l.sort()\n n = len(l)\n if n % 2 == 0:\n return (l[n//2 - 1] + l[n//2]) / 2\n else:\n return l[n//2]"} +{"task_id": "HumanEval/48", "solution": "def is_palindrome(text: str) -> bool:\n \"\"\"\n Checks if given string is a palindrome\n >>> is_palindrome('')\n True\n >>> is_palindrome('aba')\n True\n >>> is_palindrome('aaaaa')\n True\n >>> is_palindrome('zbcd')\n False\n \"\"\"\n return text == text[::-1]"} +{"task_id": "HumanEval/49", "solution": "def modp(n: int, p: int) -> int:\n \"\"\"Return 2^n modulo p (be aware of numerics).\n >>> modp(3, 5)\n 3\n >>> modp(1101, 101)\n 2\n >>> modp(0, 101)\n 1\n >>> modp(3, 11)\n 8\n >>> modp(100, 101)\n 1\n \"\"\"\n # Calculate 2^n modulo p using the property of modular arithmetic\n return (2 ** n) % p"} +{"task_id": "HumanEval/50", "solution": "def decode_shift(s: str) -> str:\n \"\"\"\n takes as input string encoded with encode_shift function. Returns decoded string.\n \"\"\"\n return \"\".join([chr(((ord(ch) - 5 - ord(\"a\")) % 26) + ord(\"a\")) for ch in s])"} +{"task_id": "HumanEval/51", "solution": "def remove_vowels(text):\n \"\"\"\n remove_vowels is a function that takes string and returns string without vowels.\n >>> remove_vowels('')\n ''\n >>> remove_vowels(\"abcdef\\nghijklm\")\n 'bcdf\\nghjklm'\n >>> remove_vowels('abcdef')\n 'bcdf'\n >>> remove_vowels('aaaaa')\n ''\n >>> remove_vowels('aaBAA')\n 'B'\n >>> remove_vowels('zbcd')\n 'zbcd'\n \"\"\"\n vowels = 'aeiouAEIOU'\n return ''.join([char for char in text if char not in vowels])"} +{"task_id": "HumanEval/52", "solution": "def below_threshold(l: list, t: int) -> bool:\n \"\"\"\n Return True if all numbers in the list l are below threshold t.\n \n Parameters:\n l (list): A list of integers.\n t (int): The threshold value.\n \n Returns:\n bool: True if all numbers in the list are below the threshold, False otherwise.\n \n Examples:\n >>> below_threshold([1, 2, 4, 10], 100)\n True\n >>> below_threshold([1, 20, 4, 10], 5)\n False\n \"\"\"\n return all(x < t for x in l)"} +{"task_id": "HumanEval/53", "solution": "def add(x: int, y: int) -> int:\n \"\"\"\n Add two numbers x and y\n \n >>> add(2, 3)\n 5\n >>> add(5, 7)\n 12\n \"\"\"\n return x + y"} +{"task_id": "HumanEval/54", "solution": "def same_chars(s0: str, s1: str) -> bool:\n \"\"\"\n Check if two words have the same characters.\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc')\n True\n >>> same_chars('abcd', 'dddddddabc')\n True\n >>> same_chars('dddddddabc', 'abcd')\n True\n >>> same_chars('eabcd', 'dddddddabc')\n False\n >>> same_chars('abcd', 'dddddddabce')\n False\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddddabc')\n False\n \"\"\"\n # Sort the characters in both strings\n sorted_s0 = sorted(s0)\n sorted_s1 = sorted(s1)\n \n # Compare the sorted lists\n return sorted_s0 == sorted_s1"} +{"task_id": "HumanEval/55", "solution": "def fib(n: int) -> int:\n \"\"\"\n Return n-th Fibonacci number.\n \n Parameters:\n n (int): The position of the Fibonacci number to return.\n \n Returns:\n int: The n-th Fibonacci number.\n \n Examples:\n >>> fib(10)\n 55\n >>> fib(1)\n 1\n >>> fib(8)\n 21\n \"\"\"\n if n <= 0:\n raise ValueError(\"n must be a positive integer\")\n a, b = 0, 1\n for _ in range(n - 1):\n a, b = b, a + b\n return b"} +{"task_id": "HumanEval/56", "solution": "def correct_bracketing(brackets: str) -> bool:\n \"\"\"\n brackets is a string of \"<\" and \">\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"<\")\n False\n >>> correct_bracketing(\"<>\")\n True\n >>> correct_bracketing(\"<<><>>\")\n True\n >>> correct_bracketing(\"><<>\")\n False\n \"\"\"\n stack = []\n for bracket in brackets:\n if bracket == \"<\":\n stack.append(bracket)\n elif bracket == \">\":\n if not stack or stack.pop() != \"<\":\n return False\n return not stack"} +{"task_id": "HumanEval/57", "solution": "def monotonic(l: list):\n \"\"\"Return True is list elements are monotonically increasing or decreasing.\n >>> monotonic([1, 2, 4, 20])\n True\n >>> monotonic([1, 20, 4, 10])\n False\n >>> monotonic([4, 1, 0, -10])\n True\n \"\"\"\n if len(l) < 2:\n return True # A list with 0 or 1 element is always monotonic\n \n # Check if the list is monotonically increasing\n increasing = all(l[i] <= l[i + 1] for i in range(len(l) - 1))\n \n # Check if the list is monotonically decreasing\n decreasing = all(l[i] >= l[i + 1] for i in range(len(l) - 1))\n \n return increasing or decreasing"} +{"task_id": "HumanEval/58", "solution": "def common(l1: list, l2: list) -> list:\n \"\"\"Return sorted unique common elements for two lists.\n >>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])\n [1, 5, 653]\n >>> common([5, 3, 2, 8], [3, 2])\n [2, 3]\n\n \"\"\"\n # Find common elements using set intersection\n common_elements = set(l1) & set(l2)\n # Return the sorted list of unique common elements\n return sorted(common_elements)"} +{"task_id": "HumanEval/59", "solution": "def largest_prime_factor(n: int) -> int:\n \"\"\"\n Return the largest prime factor of n. Assume n > 1 and is not a prime.\n \n Parameters:\n n (int): The input number for which to find the largest prime factor.\n \n Returns:\n int: The largest prime factor of n.\n \n Examples:\n >>> largest_prime_factor(13195)\n 29\n >>> largest_prime_factor(2048)\n 2\n \"\"\"\n def is_prime(num: int) -> bool:\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n largest_factor = 2\n while n % largest_factor != 0:\n largest_factor += 1\n while n % largest_factor == 0:\n n //= largest_factor\n\n return largest_factor"} +{"task_id": "HumanEval/60", "solution": "def sum_to_n(n: int) -> int:\n \"\"\"\n sum_to_n is a function that sums numbers from 1 to n.\n \n Parameters:\n n (int): The upper limit of the sum.\n \n Returns:\n int: The sum of numbers from 1 to n.\n \n Examples:\n >>> sum_to_n(30)\n 465\n >>> sum_to_n(100)\n 5050\n >>> sum_to_n(5)\n 15\n >>> sum_to_n(10)\n 55\n >>> sum_to_n(1)\n 1\n \"\"\"\n return sum(range(1, n + 1))"} +{"task_id": "HumanEval/61", "solution": "def correct_bracketing(brackets: str) -> bool:\n \"\"\"\n brackets is a string of \"(\" and \")\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"(\")\n False\n >>> correct_bracketing(\"()\")\n True\n >>> correct_bracketing(\"(()())\")\n True\n >>> correct_bracketing(\")(()\")\n False\n \"\"\"\n stack = []\n for bracket in brackets:\n if bracket == \"(\":\n stack.append(bracket)\n elif bracket == \")\":\n if not stack:\n return False\n stack.pop()\n return not stack"} +{"task_id": "HumanEval/62", "solution": "def derivative(xs: list) -> list:\n \"\"\"\n xs represent coefficients of a polynomial.\n xs[0] + xs[1] * x + xs[2] * x^2 + ....\n Return derivative of this polynomial in the same form.\n \n >>> derivative([3, 1, 2, 4, 5])\n [1, 4, 12, 20]\n >>> derivative([1, 2, 3])\n [2, 6]\n \"\"\"\n # Remove the first coefficient (constant term) as it's not part of the derivative\n derivative_coefficients = xs[1:]\n \n # Multiply each coefficient by its corresponding power (index + 1)\n for i in range(len(derivative_coefficients)):\n derivative_coefficients[i] *= (i + 1)\n \n return derivative_coefficients"} +{"task_id": "HumanEval/63", "solution": "def fibfib(n: int) -> int:\n \"\"\"\n The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fibfib(0) == 0\n fibfib(1) == 0\n fibfib(2) == 1\n fibfib(n) == fibfib(n-1) + fibfib(n-2) + fibfib(n-3).\n Please write a function to efficiently compute the n-th element of the fibfib number sequence.\n \n >>> fibfib(1)\n 0\n >>> fibfib(5)\n 4\n >>> fibfib(8)\n 24\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 1\n else:\n a, b, c = 0, 0, 1\n for _ in range(3, n + 1):\n a, b, c = b, c, a + b + c\n return c"} +{"task_id": "HumanEval/64", "solution": "def vowels_count(s):\n \"\"\"\n Write a function vowels_count which takes a string representing\n a word as input and returns the number of vowels in the string.\n Vowels in this case are 'a', 'e', 'i', 'o', 'u'. Here, 'y' is also a\n vowel, but only when it is at the end of the given word.\n\n Example:\n >>> vowels_count(\"abcde\")\n 2\n >>> vowels_count(\"ACEDY\")\n 3\n \"\"\"\n vowels = 'aeiou'\n count = 0\n for char in s:\n if char.lower() in vowels:\n count += 1\n if s.endswith('y'):\n count += 1\n return count"} +{"task_id": "HumanEval/65", "solution": "def circular_shift(x, shift):\n \"\"\"Circular shift the digits of the integer x, shift the digits right by shift\n and return the result as a string.\n If shift > number of digits, return digits reversed.\n >>> circular_shift(12, 1)\n \"21\"\n >>> circular_shift(12, 2)\n \"12\"\n \"\"\"\n # Convert the integer to a string to easily manipulate the digits\n x_str = str(x)\n \n # Calculate the effective shift, which is the remainder of the shift divided by the number of digits\n effective_shift = shift % len(x_str)\n \n # If the effective shift is 0, return the original string\n if effective_shift == 0:\n return x_str\n \n # Perform the circular shift\n shifted_str = x_str[-effective_shift:] + x_str[:-effective_shift]\n \n return shifted_str"} +{"task_id": "HumanEval/66", "solution": "def digitSum(s):\n \"\"\"\n Write a function that takes a string as input and returns the sum of the upper characters only'\n ASCII codes.\n\n Examples:\n digitSum(\"\") => 0\n digitSum(\"abAB\") => 131\n digitSum(\"abcCd\") => 67\n digitSum(\"helloE\") => 69\n digitSum(\"woArBld\") => 131\n digitSum(\"aAaaaXa\") => 153\n \"\"\"\n return sum(ord(c) for c in s if c.isupper())"} +{"task_id": "HumanEval/67", "solution": "def fruit_distribution(s, n):\n \"\"\"\n In this task, you will be given a string that represents a number of apples and oranges \n that are distributed in a basket of fruit this basket contains \n apples, oranges, and mango fruits. Given the string that represents the total number of \n the oranges and apples and an integer that represent the total number of the fruits \n in the basket return the number of the mango fruits in the basket.\n for examble:\n fruit_distribution(\"5 apples and 6 oranges\", 19) ->19 - 5 - 6 = 8\n fruit_distribution(\"0 apples and 1 oranges\",3) -> 3 - 0 - 1 = 2\n fruit_distribution(\"2 apples and 3 oranges\", 100) -> 100 - 2 - 3 = 95\n fruit_distribution(\"100 apples and 1 oranges\",120) -> 120 - 100 - 1 = 19\n \"\"\"\n # Extract the number of apples and oranges from the string\n apples, oranges = map(int, s.split()[1::2])\n \n # Calculate the number of mangoes\n mangoes = n - apples - oranges\n \n return mangoes"} +{"task_id": "HumanEval/68", "solution": "def pluck(arr):\n \"\"\"\n Given an array representing a branch of a tree that has non-negative integer nodes\n your task is to pluck one of the nodes and return it.\n The plucked node should be the node with the smallest even value.\n If multiple nodes with the same smallest even value are found return the node that has smallest index.\n\n The plucked node should be returned in a list, [ smalest_value, its index ],\n If there are no even values or the given array is empty, return [].\n\n Example 1:\n Input: [4,2,3]\n Output: [2, 1]\n Explanation: 2 has the smallest even value, and 2 has the smallest index.\n\n Example 2:\n Input: [1,2,3]\n Output: [2, 1]\n Explanation: 2 has the smallest even value, and 2 has the smallest index. \n\n Example 3:\n Input: []\n Output: []\n \n Example 4:\n Input: [5, 0, 3, 0, 4, 2]\n Output: [0, 1]\n Explanation: 0 is the smallest value, but there are two zeros,\n so we will choose the first zero, which has the smallest index.\n\n Constraints:\n * 1 <= nodes.length <= 10000\n * 0 <= node.value\n \"\"\"\n if not arr:\n return []\n \n even_values = [(value, index) for index, value in enumerate(arr) if value % 2 == 0]\n if not even_values:\n return []\n \n smallest_even_value = min(even_values, key=lambda x: (x[0], x[1]))\n return [smallest_even_value[0], smallest_even_value[1]]"} +{"task_id": "HumanEval/69", "solution": "def search(lst):\n '''\n You are given a non-empty list of positive integers. Return the greatest integer that is greater than \n zero, and has a frequency greater than or equal to the value of the integer itself. \n The frequency of an integer is the number of times it appears in the list.\n If no such a value exist, return -1.\n Examples:\n search([4, 1, 2, 2, 3, 1]) == 2\n search([1, 2, 2, 3, 3, 3, 4, 4, 4]) == 3\n search([5, 5, 4, 4, 4]) == -1\n '''\n from collections import Counter\n count = Counter(lst)\n for num in sorted(count.keys(), reverse=True):\n if count[num] >= num:\n return num\n return -1"} +{"task_id": "HumanEval/70", "solution": "def strange_sort_list(lst):\n '''\n Given list of integers, return list in strange order.\n Strange sorting, is when you start with the minimum value,\n then maximum of the remaining integers, then minimum and so on.\n\n Examples:\n strange_sort_list([1, 2, 3, 4]) == [1, 4, 2, 3]\n strange_sort_list([5, 5, 5, 5]) == [5, 5, 5, 5]\n strange_sort_list([]) == []\n '''\n if not lst:\n return []\n\n sorted_lst = []\n while lst:\n # Append the smallest element\n sorted_lst.append(min(lst))\n lst.remove(min(lst))\n if lst:\n # Append the largest element\n sorted_lst.append(max(lst))\n lst.remove(max(lst))\n\n return sorted_lst"} +{"task_id": "HumanEval/71", "solution": "def triangle_area(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return the area of\n the triangle rounded to 2 decimal points if the three sides form a valid triangle. \n Otherwise return -1\n Three sides make a valid triangle when the sum of any two sides is greater \n than the third side.\n Example:\n triangle_area(3, 4, 5) == 6.00\n triangle_area(1, 2, 10) == -1\n '''\n # Check if the three sides can form a valid triangle\n if a + b > c and a + c > b and b + c > a:\n # Calculate the semi-perimeter\n s = (a + b + c) / 2\n # Calculate the area using Heron's formula\n area = (s * (s - a) * (s - b) * (s - c)) ** 0.5\n # Return the area rounded to 2 decimal points\n return round(area, 2)\n else:\n # Return -1 if the sides do not form a valid triangle\n return -1"} +{"task_id": "HumanEval/72", "solution": "def will_it_fly(q, w):\n '''\n Write a function that returns True if the object q will fly, and False otherwise.\n The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.\n\n Example:\n will_it_fly([1, 2], 5) \u279e False \n # 1+2 is less than the maximum possible weight, but it's unbalanced.\n\n will_it_fly([3, 2, 3], 1) \u279e False\n # it's balanced, but 3+2+3 is more than the maximum possible weight.\n\n will_it_fly([3, 2, 3], 9) \u279e True\n # 3+2+3 is less than the maximum possible weight, and it's balanced.\n\n will_it_fly([3], 5) \u279e True\n # 3 is less than the maximum possible weight, and it's balanced.\n '''\n # Check if the list is a palindrome\n if q != q[::-1]:\n return False\n \n # Check if the sum of the elements is less than or equal to the maximum possible weight\n if sum(q) <= w:\n return True\n else:\n return False"} +{"task_id": "HumanEval/73", "solution": "def smallest_change(arr):\n \"\"\"\n Given an array arr of integers, find the minimum number of elements that\n need to be changed to make the array palindromic. A palindromic array is an array that\n is read the same backwards and forwards. In one change, you can change one element to any other element.\n\n For example:\n smallest_change([1,2,3,5,4,7,9,6]) == 4\n smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1\n smallest_change([1, 2, 3, 2, 1]) == 0\n \"\"\"\n n = len(arr)\n changes = 0\n for i in range(n // 2):\n if arr[i] != arr[n - 1 - i]:\n changes += 1\n return changes"} +{"task_id": "HumanEval/74", "solution": "def total_match(lst1, lst2):\n '''\n Write a function that accepts two lists of strings and returns the list that has \n total number of chars in the all strings of the list less than the other list.\n\n if the two lists have the same number of chars, return the first list.\n\n Examples\n total_match([], []) \u279e []\n total_match(['hi', 'admin'], ['hI', 'Hi']) \u279e ['hI', 'Hi']\n total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) \u279e ['hi', 'admin']\n total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) \u279e ['hI', 'hi', 'hi']\n total_match(['4'], ['1', '2', '3', '4', '5']) \u279e ['4']\n '''\n def total_chars(lst):\n return sum(len(s) for s in lst)\n\n total1 = total_chars(lst1)\n total2 = total_chars(lst2)\n\n if total1 < total2:\n return lst1\n elif total2 < total1:\n return lst2\n else:\n return lst1"} +{"task_id": "HumanEval/75", "solution": "def is_multiply_prime(a):\n \"\"\"\n Write a function that returns true if the given number is the multiplication of 3 prime numbers\n and false otherwise.\n Knowing that (a) is less then 100. \n Example:\n is_multiply_prime(30) == True\n 30 = 2 * 3 * 5\n \"\"\"\n def is_prime(n):\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True\n\n factors = []\n for i in range(2, int(a**0.5) + 1):\n if a % i == 0 and is_prime(i):\n factors.append(i)\n if a // i != i and is_prime(a // i):\n factors.append(a // i)\n\n factors.sort()\n for i in range(len(factors)):\n for j in range(i + 1, len(factors)):\n for k in range(j + 1, len(factors)):\n if factors[i] * factors[j] * factors[k] == a:\n return True\n return False"} +{"task_id": "HumanEval/76", "solution": "def is_simple_power(x, n):\n \"\"\"\n Checks if a number x is a simple power of n.\n \n A number x is a simple power of n if n**int(x**(1/n)) == x.\n \n Parameters:\n x (int): The number to check.\n n (int): The base of the power.\n \n Returns:\n bool: True if x is a simple power of n, False otherwise.\n \"\"\"\n if n == 1:\n return x == 1\n if x == 1:\n return True\n if x == 0:\n return False\n if n == 0:\n return False\n \n # Calculate the integer part of x raised to the power of 1/n\n power = int(x ** (1 / n))\n \n # Check if n raised to the power of the integer part equals x\n return n ** power == x"} +{"task_id": "HumanEval/77", "solution": "def iscube(a):\n '''\n Write a function that takes an integer a and returns True \n if this integer is a cube of some integer number.\n Note: you may assume the input is always valid.\n Examples:\n iscube(1) ==> True\n iscube(2) ==> False\n iscube(-1) ==> True\n iscube(64) ==> True\n iscube(0) ==> True\n iscube(180) ==> False\n '''\n if a == 0:\n return True\n if a < 0:\n a = -a\n cube_root = round(a ** (1/3))\n return cube_root ** 3 == a"} +{"task_id": "HumanEval/78", "solution": "def hex_key(num):\n \"\"\"\n Counts the number of hexadecimal digits that are primes.\n \n Parameters:\n num (str): A string representing a hexadecimal number.\n \n Returns:\n int: The number of hexadecimal digits that are primes.\n \"\"\"\n # Define the set of prime hexadecimal digits\n prime_hex_digits = {'2', '3', '5', '7', 'B', 'D'}\n \n # Count the number of prime hexadecimal digits\n return sum(1 for char in num if char in prime_hex_digits)"} +{"task_id": "HumanEval/79", "solution": "def decimal_to_binary(decimal):\n \"\"\"\n Converts a decimal number to its binary representation.\n \n Parameters:\n decimal (int): The decimal number to be converted.\n \n Returns:\n str: A string representing the binary number, with 'db' at the beginning and end.\n \"\"\"\n binary = bin(decimal)[2:] # Convert to binary and remove the '0b' prefix\n return f\"db{binary}db\""} +{"task_id": "HumanEval/80", "solution": "def is_happy(s):\n \"\"\"\n You are given a string s.\n Your task is to check if the string is happy or not.\n A string is happy if its length is at least 3 and every 3 consecutive letters are distinct\n For example:\n is_happy(a) => False\n is_happy(aa) => False\n is_happy(abcd) => True\n is_happy(aabb) => False\n is_happy(adb) => True\n is_happy(xyy) => False\n \"\"\"\n if len(s) < 3:\n return False\n \n for i in range(len(s) - 2):\n if len(set(s[i:i+3])) != 3:\n return False\n \n return True"} +{"task_id": "HumanEval/81", "solution": "def numerical_letter_grade(grades):\n \"\"\"\n Converts a list of GPAs to a list of letter grades based on the following table:\n \n GPA | Letter grade\n 4.0 A+\n > 3.7 A \n > 3.3 A- \n > 3.0 B+\n > 2.7 B \n > 2.3 B-\n > 2.0 C+\n > 1.7 C\n > 1.3 C-\n > 1.0 D+ \n > 0.7 D \n > 0.0 D-\n 0.0 E\n \n Example:\n numerical_letter_grade([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-']\n \"\"\"\n letter_grades = []\n for gpa in grades:\n if gpa == 4.0:\n letter_grades.append('A+')\n elif gpa > 3.7:\n letter_grades.append('A')\n elif gpa > 3.3:\n letter_grades.append('A-')\n elif gpa > 3.0:\n letter_grades.append('B+')\n elif gpa > 2.7:\n letter_grades.append('B')\n elif gpa > 2.3:\n letter_grades.append('B-')\n elif gpa > 2.0:\n letter_grades.append('C+')\n elif gpa > 1.7:\n letter_grades.append('C')\n elif gpa > 1.3:\n letter_grades.append('C-')\n elif gpa > 1.0:\n letter_grades.append('D+')\n elif gpa > 0.7:\n letter_grades.append('D')\n elif gpa > 0.0:\n letter_grades.append('D-')\n else:\n letter_grades.append('E')\n return letter_grades"} +{"task_id": "HumanEval/82", "solution": "def prime_length(string):\n \"\"\"\n Write a function that takes a string and returns True if the string\n length is a prime number or False otherwise\n Examples\n prime_length('Hello') == True\n prime_length('abcdcba') == True\n prime_length('kittens') == True\n prime_length('orange') == False\n \"\"\"\n def is_prime(n):\n \"\"\"Helper function to check if a number is prime\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n return is_prime(len(string))"} +{"task_id": "HumanEval/83", "solution": "def starts_one_ends(n):\n \"\"\"\n Given a positive integer n, return the count of the numbers of n-digit\n positive integers that start or end with 1.\n \"\"\"\n if n < 1:\n raise ValueError(\"n must be a positive integer\")\n \n # The count of numbers of n-digit positive integers that start or end with 1\n # is 2 * 9 * 10^(n-2)\n # For n = 1, the count is 1 (since 1 is the only number that starts or ends with 1)\n # For n > 1, the count is 2 * 9 * 10^(n-2)\n return 2 * 9 * (10 ** (n - 2)) if n > 1 else 1"} +{"task_id": "HumanEval/84", "solution": "def solve(N):\n \"\"\"Given a positive integer N, return the total sum of its digits in binary.\n \n Example\n For N = 1000, the sum of digits will be 1 the output should be \"1\".\n For N = 150, the sum of digits will be 6 the output should be \"110\".\n For N = 147, the sum of digits will be 12 the output should be \"1100\".\n \n Variables:\n @N integer\n Constraints: 0 \u2264 N \u2264 10000.\n Output:\n a string of binary number\n \"\"\"\n # Convert the number to a string to easily iterate over each digit\n N_str = str(N)\n \n # Initialize the sum of digits\n sum_of_digits = 0\n \n # Iterate over each digit in the string\n for digit in N_str:\n # Convert the digit back to an integer and add it to the sum\n sum_of_digits += int(digit)\n \n # Convert the sum of digits to binary and return it as a string\n return bin(sum_of_digits)[2:]"} +{"task_id": "HumanEval/85", "solution": "def add(lst):\n \"\"\"\n Given a non-empty list of integers lst, add the even elements that are at odd indices.\n\n Examples:\n add([4, 2, 6, 7]) ==> 2\n \"\"\"\n return sum(lst[i] for i in range(1, len(lst), 2) if lst[i] % 2 == 0)"} +{"task_id": "HumanEval/86", "solution": "def anti_shuffle(s):\n \"\"\"\n Write a function that takes a string and returns an ordered version of it.\n Ordered version of string, is a string where all words (separated by space)\n are replaced by a new word where all the characters arranged in\n ascending order based on ascii value.\n Note: You should keep the order of words and blank spaces in the sentence.\n\n For example:\n anti_shuffle('Hi') returns 'Hi'\n anti_shuffle('hello') returns 'ehllo'\n anti_shuffle('Hello World!!!') returns 'Hello !!!Wdlor'\n \"\"\"\n # Split the string into words\n words = s.split()\n \n # Sort each word by ASCII value and join them back together\n sorted_words = [''.join(sorted(word)) for word in words]\n \n # Join the sorted words back together with spaces\n result = ' '.join(sorted_words)\n \n return result"} +{"task_id": "HumanEval/87", "solution": "def get_row(lst, x):\n \"\"\"\n You are given a 2 dimensional data, as a nested lists,\n which is similar to matrix, however, unlike matrices,\n each row may contain a different number of columns.\n Given lst, and integer x, find integers x in the list,\n and return list of tuples, [(x1, y1), (x2, y2) ...] such that\n each tuple is a coordinate - (row, columns), starting with 0.\n Sort coordinates initially by rows in ascending order.\n Also, sort coordinates of the row by columns in descending order.\n \n Examples:\n get_row([\n [1,2,3,4,5,6],\n [1,2,3,4,1,6],\n [1,2,3,4,5,1]\n ], 1) == [(0, 0), (1, 4), (1, 0), (2, 5), (2, 0)]\n get_row([], 1) == []\n get_row([[], [1], [1, 2, 3]], 3) == [(2, 2)]\n \"\"\"\n # Initialize an empty list to store the coordinates\n coordinates = []\n \n # Iterate over the rows in the list\n for i, row in enumerate(lst):\n # Iterate over the columns in the row\n for j, value in enumerate(row):\n # Check if the value is equal to x\n if value == x:\n # Append the coordinate to the list\n coordinates.append((i, j))\n \n # Sort the coordinates by rows in ascending order\n coordinates.sort(key=lambda x: x[0])\n \n # Sort the coordinates of each row by columns in descending order\n for i in range(len(coordinates)):\n coordinates[i] = (coordinates[i][0], len(lst[coordinates[i][0]]) - 1 - coordinates[i][1])\n \n # Return the sorted list of coordinates\n return coordinates"} +{"task_id": "HumanEval/88", "solution": "def sort_array(array):\n \"\"\"\n Given an array of non-negative integers, return a copy of the given array after sorting,\n you will sort the given array in ascending order if the sum( first index value, last index value) is odd,\n or sort it in descending order if the sum( first index value, last index value) is even.\n\n Note:\n * don't change the given array.\n\n Examples:\n * sort_array([]) => []\n * sort_array([5]) => [5]\n * sort_array([2, 4, 3, 0, 1, 5]) => [0, 1, 2, 3, 4, 5]\n * sort_array([2, 4, 3, 0, 1, 5, 6]) => [6, 5, 4, 3, 2, 1, 0]\n \"\"\"\n if not array:\n return []\n \n # Calculate the sum of the first and last elements\n sum_first_last = array[0] + array[-1]\n \n # Sort the array in ascending order if the sum is odd, otherwise in descending order\n if sum_first_last % 2 == 1:\n return sorted(array)\n else:\n return sorted(array, reverse=True)"} +{"task_id": "HumanEval/89", "solution": "def encrypt(s):\n \"\"\"\n Create a function encrypt that takes a string as an argument and\n returns a string encrypted with the alphabet being rotated. \n The alphabet should be rotated in a manner such that the letters \n shift down by two multiplied to two places.\n For example:\n encrypt('hi') returns 'lm'\n encrypt('asdfghjkl') returns 'ewhjklnop'\n encrypt('gf') returns 'kj'\n encrypt('et') returns 'ix'\n \"\"\"\n encrypted_s = ''\n for char in s:\n if char.isalpha():\n shift = 2 * (ord(char.lower()) - ord('a') + 2) % 26\n encrypted_char = chr(ord('a') + shift)\n encrypted_s += encrypted_char\n else:\n encrypted_s += char\n return encrypted_s"} +{"task_id": "HumanEval/90", "solution": "def next_smallest(lst):\n \"\"\"\n You are given a list of integers.\n Write a function next_smallest() that returns the 2nd smallest element of the list.\n Return None if there is no such element.\n \n next_smallest([1, 2, 3, 4, 5]) == 2\n next_smallest([5, 1, 4, 3, 2]) == 2\n next_smallest([]) == None\n next_smallest([1, 1]) == None\n \"\"\"\n if len(lst) < 2:\n return None\n \n # Find the smallest and second smallest elements\n smallest = float('inf')\n second_smallest = float('inf')\n \n for num in lst:\n if num < smallest:\n second_smallest = smallest\n smallest = num\n elif smallest < num < second_smallest:\n second_smallest = num\n \n return second_smallest if second_smallest != float('inf') else None"} +{"task_id": "HumanEval/91", "solution": "def is_bored(S):\n \"\"\"\n You'll be given a string of words, and your task is to count the number\n of boredoms. A boredom is a sentence that starts with the word \"I\".\n Sentences are delimited by '.', '?' or '!'.\n \n For example:\n >>> is_bored(\"Hello world\")\n 0\n >>> is_bored(\"The sky is blue. The sun is shining. I love this weather\")\n 1\n \"\"\"\n # Split the string into sentences\n sentences = S.split('.') + S.split('?') + S.split('!')\n # Filter out empty strings and strip leading/trailing whitespace\n sentences = [sentence.strip() for sentence in sentences if sentence.strip()]\n # Count the number of sentences that start with \"I\"\n return sum(1 for sentence in sentences if sentence.startswith('I'))"} +{"task_id": "HumanEval/92", "solution": "def any_int(x, y, z):\n \"\"\"\n Create a function that takes 3 numbers.\n Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers.\n Returns false in any other cases.\n \n Examples\n any_int(5, 2, 7) \u279e True\n \n any_int(3, 2, 2) \u279e False\n\n any_int(3, -2, 1) \u279e True\n \n any_int(3.6, -2.2, 2) \u279e False\n \"\"\"\n # Check if all inputs are integers\n if not all(isinstance(num, int) for num in (x, y, z)):\n return False\n \n # Check if one of the numbers is equal to the sum of the other two\n if x + y == z or x + z == y or y + z == x:\n return True\n \n return False"} +{"task_id": "HumanEval/93", "solution": "def encode(message):\n \"\"\"\n Write a function that takes a message, and encodes in such a \n way that it swaps case of all letters, replaces all vowels in \n the message with the letter that appears 2 places ahead of that \n vowel in the english alphabet. \n Assume only letters. \n \n Examples:\n >>> encode('test')\n 'TGST'\n >>> encode('This is a message')\n 'tHKS KS C MGSSCGG'\n \"\"\"\n vowels = 'aeiouAEIOU'\n encoded_message = ''\n for char in message:\n if char in vowels:\n # Find the position of the vowel in the alphabet\n position = ord(char) - ord('a') if char.islower() else ord(char) - ord('A')\n # Calculate the position of the letter 2 places ahead\n new_position = (position + 2) % 26\n # Convert the new position back to a character\n new_char = chr(new_position + ord('a')) if char.islower() else chr(new_position + ord('A'))\n encoded_message += new_char\n else:\n encoded_message += char\n return encoded_message"} +{"task_id": "HumanEval/94", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef sum_of_digits(n):\n \"\"\"Calculate the sum of digits of a number.\"\"\"\n return sum(int(digit) for digit in str(n))\n\ndef largest_prime_and_sum_of_digits(lst):\n \"\"\"Find the largest prime value in the list and return the sum of its digits.\"\"\"\n largest_prime = max(filter(is_prime, lst), default=None)\n if largest_prime is None:\n return 0\n return sum_of_digits(largest_prime)\n\n# Test cases"} +{"task_id": "HumanEval/95", "solution": "def check_dict_case(dict):\n \"\"\"\n Given a dictionary, return True if all keys are strings in lower \n case or all keys are strings in upper case, else return False.\n The function should return False is the given dictionary is empty.\n Examples:\n check_dict_case({\"a\":\"apple\", \"b\":\"banana\"}) should return True.\n check_dict_case({\"a\":\"apple\", \"A\":\"banana\", \"B\":\"banana\"}) should return False.\n check_dict_case({\"a\":\"apple\", 8:\"banana\", \"a\":\"apple\"}) should return False.\n check_dict_case({\"Name\":\"John\", \"Age\":\"36\", \"City\":\"Houston\"}) should return False.\n check_dict_case({\"STATE\":\"NC\", \"ZIP\":\"12345\" }) should return True.\n \"\"\"\n if not dict:\n return False\n \n keys = list(dict.keys())\n lower_case_keys = [key for key in keys if isinstance(key, str) and key.islower()]\n upper_case_keys = [key for key in keys if isinstance(key, str) and key.isupper()]\n \n if lower_case_keys and upper_case_keys:\n return False\n else:\n return True"} +{"task_id": "HumanEval/96", "solution": "def is_prime(num):\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\ndef count_up_to(n):\n \"\"\"Implement a function that takes an non-negative integer and returns an array of the first n\n integers that are prime numbers and less than n.\n \"\"\"\n primes = []\n for i in range(2, n):\n if is_prime(i):\n primes.append(i)\n return primes"} +{"task_id": "HumanEval/97", "solution": "def multiply(a, b):\n \"\"\"\n Complete the function that takes two integers and returns \n the product of their unit digits.\n Assume the input is always valid.\n Examples:\n multiply(148, 412) should return 16.\n multiply(19, 28) should return 72.\n multiply(2020, 1851) should return 0.\n multiply(14,-15) should return 20.\n \"\"\"\n # Extract the unit digits of a and b\n unit_digit_a = abs(a) % 10\n unit_digit_b = abs(b) % 10\n \n # Calculate the product of the unit digits\n product = unit_digit_a * unit_digit_b\n \n return product"} +{"task_id": "HumanEval/98", "solution": "def count_upper(s):\n \"\"\"\n Given a string s, count the number of uppercase vowels in even indices.\n \n For example:\n count_upper('aBCdEf') returns 1\n count_upper('abcdefg') returns 0\n count_upper('dBBE') returns 0\n \"\"\"\n vowels = 'AEIOU'\n count = 0\n for i in range(0, len(s), 2):\n if s[i] in vowels:\n count += 1\n return count"} +{"task_id": "HumanEval/99", "solution": "def closest_integer(value):\n '''\n Create a function that takes a value (string) representing a number\n and returns the closest integer to it. If the number is equidistant\n from two integers, round it away from zero.\n\n Examples\n >>> closest_integer(\"10\")\n 10\n >>> closest_integer(\"15.3\")\n 15\n\n Note:\n Rounding away from zero means that if the given number is equidistant\n from two integers, the one you should return is the one that is the\n farthest from zero. For example closest_integer(\"14.5\") should\n return 15 and closest_integer(\"-14.5\") should return -15.\n '''\n num = float(value)\n if num > 0:\n return int(num + 0.5)\n else:\n return int(num - 0.5)"} +{"task_id": "HumanEval/100", "solution": "def make_a_pile(n):\n \"\"\"\n Given a positive integer n, you have to make a pile of n levels of stones.\n The first level has n stones.\n The number of stones in the next level is:\n - the next odd number if n is odd.\n - the next even number if n is even.\n Return the number of stones in each level in a list, where element at index\n i represents the number of stones in the level (i+1).\n\n Examples:\n >>> make_a_pile(3)\n [3, 5, 7]\n \"\"\"\n if n <= 0:\n raise ValueError(\"n must be a positive integer\")\n \n # Initialize the list with the first level\n pile = [n]\n \n # Determine the next odd or even number based on the parity of n\n next_number = n + 2 if n % 2 == 0 else n + 1\n \n # Generate the rest of the levels\n for _ in range(n - 1):\n pile.append(next_number)\n next_number += 2 if next_number % 2 == 0 else 1\n \n return pile"} +{"task_id": "HumanEval/101", "solution": "import re\ndef words_string(s):\n \"\"\"\n Splits a string of words separated by commas or spaces into an array of words.\n \n Parameters:\n s (str): The input string of words separated by commas or spaces.\n \n Returns:\n list: A list of words extracted from the input string.\n \n Examples:\n >>> words_string(\"Hi, my name is John\")\n [\"Hi\", \"my\", \"name\", \"is\", \"John\"]\n >>> words_string(\"One, two, three, four, five, six\")\n [\"One\", \"two\", \"three\", \"four\", \"five\", \"six\"]\n \"\"\"\n # Split the string into words using a regular expression that matches commas or spaces\n words = re.split(r'[, ]', s)\n # Remove any empty strings that might result from the split\n words = [word for word in words if word]\n return words"} +{"task_id": "HumanEval/102", "solution": "def choose_num(x, y):\n \"\"\"\n This function takes two positive numbers x and y and returns the\n biggest even integer number that is in the range [x, y] inclusive. If \n there's no such number, then the function should return -1.\n\n For example:\n choose_num(12, 15) = 14\n choose_num(13, 12) = -1\n \"\"\"\n if x > y:\n return -1\n if x % 2 == 0:\n return x\n else:\n return x + 1"} +{"task_id": "HumanEval/103", "solution": "def rounded_avg(n, m):\n \"\"\"\n Compute the average of the integers from n through m (including n and m),\n round the answer to the nearest integer, and convert that to binary.\n If n is greater than m, return -1.\n \"\"\"\n if n > m:\n return -1\n avg = round((n + m) / 2)\n return bin(avg)"} +{"task_id": "HumanEval/104", "solution": "def unique_digits(x):\n \"\"\"Given a list of positive integers x. return a sorted list of all \n elements that hasn't any even digit.\n\n Note: Returned list should be sorted in increasing order.\n \n For example:\n >>> unique_digits([15, 33, 1422, 1])\n [1, 15, 33]\n >>> unique_digits([152, 323, 1422, 10])\n []\n \"\"\"\n def has_even_digit(n):\n return any(int(digit) % 2 == 0 for digit in str(n))\n\n return sorted([num for num in x if not has_even_digit(num)])"} +{"task_id": "HumanEval/105", "solution": "def by_length(arr):\n \"\"\"\n Given an array of integers, sort the integers that are between 1 and 9 inclusive,\n reverse the resulting array, and then replace each digit by its corresponding name from\n \"One\", \"Two\", \"Three\", \"Four\", \"Five\", \"Six\", \"Seven\", \"Eight\", \"Nine\".\n\n For example:\n arr = [2, 1, 1, 4, 5, 8, 2, 3] \n -> sort arr -> [1, 1, 2, 2, 3, 4, 5, 8] \n -> reverse arr -> [8, 5, 4, 3, 2, 2, 1, 1]\n return [\"Eight\", \"Five\", \"Four\", \"Three\", \"Two\", \"Two\", \"One\", \"One\"]\n \n If the array is empty, return an empty array:\n arr = []\n return []\n \n If the array has any strange number ignore it:\n arr = [1, -1 , 55] \n -> sort arr -> [-1, 1, 55]\n -> reverse arr -> [55, 1, -1]\n return = ['One']\n \"\"\"\n # Define the mapping from numbers to names\n num_to_name = {\n 1: \"One\", 2: \"Two\", 3: \"Three\", 4: \"Four\", 5: \"Five\",\n 6: \"Six\", 7: \"Seven\", 8: \"Eight\", 9: \"Nine\"\n }\n\n # Filter the array to include only numbers between 1 and 9\n valid_numbers = [num for num in arr if 1 <= num <= 9]\n\n # Sort the valid numbers in descending order\n sorted_numbers = sorted(valid_numbers, reverse=True)\n\n # Map the sorted numbers to their corresponding names\n result = [num_to_name[num] for num in sorted_numbers]\n\n return result"} +{"task_id": "HumanEval/106", "solution": "def f(n):\n def factorial(x):\n if x == 0:\n return 1\n else:\n return x * factorial(x - 1)\n\n def sum_to_n(x):\n return sum(range(1, x + 1))\n\n result = []\n for i in range(1, n + 1):\n if i % 2 == 0:\n result.append(factorial(i))\n else:\n result.append(sum_to_n(i))\n return result"} +{"task_id": "HumanEval/107", "solution": "def even_odd_palindrome(n):\n \"\"\"\n Given a positive integer n, return a tuple that has the number of even and odd\n integer palindromes that fall within the range(1, n), inclusive.\n\n Example 1:\n\n Input: 3\n Output: (1, 2)\n Explanation:\n Integer palindrome are 1, 2, 3. one of them is even, and two of them are odd.\n\n Example 2:\n\n Input: 12\n Output: (4, 6)\n Explanation:\n Integer palindrome are 1, 2, 3, 4, 5, 6, 7, 8, 9, 11. four of them are even, and 6 of them are odd.\n\n Note:\n 1. 1 <= n <= 10^3\n 2. returned tuple has the number of even and odd integer palindromes respectively.\n \"\"\"\n def is_palindrome(num):\n return str(num) == str(num)[::-1]\n\n even_count = 0\n odd_count = 0\n\n for i in range(1, n + 1):\n if is_palindrome(i):\n if i % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n\n return (even_count, odd_count)"} +{"task_id": "HumanEval/108", "solution": "def count_nums(arr):\n \"\"\"\n Write a function count_nums which takes an array of integers and returns\n the number of elements which has a sum of digits > 0.\n If a number is negative, then its first signed digit will be negative:\n e.g. -123 has signed digits -1, 2, and 3.\n >>> count_nums([]) == 0\n >>> count_nums([-1, 11, -11]) == 1\n >>> count_nums([1, 1, 2]) == 3\n \"\"\"\n count = 0\n for num in arr:\n if num < 0:\n num = -num\n sum_digits = sum(int(digit) for digit in str(num))\n if sum_digits > 0:\n count += 1\n return count"} +{"task_id": "HumanEval/109", "solution": "def move_one_ball(arr):\n \"\"\"\n Determines if it is possible to get an array sorted in non-decreasing order by performing \n the right shift operation on the given array.\n\n Parameters:\n arr (list): A list of integers.\n\n Returns:\n bool: True if it is possible to get a sorted array, False otherwise.\n \"\"\"\n if not arr:\n return True\n\n # Check if the array is already sorted\n if all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)):\n return True\n\n # Check if the array can be sorted by performing a right shift operation\n for i in range(len(arr)):\n # Perform right shift operation\n arr = arr[-1:] + arr[:-1]\n # Check if the array is sorted\n if all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)):\n return True\n\n return False"} +{"task_id": "HumanEval/110", "solution": "def exchange(lst1, lst2):\n \"\"\"\n This function checks if it is possible to exchange elements between two lists\n to make all elements of the first list even.\n \n Parameters:\n lst1 (list): The first list of numbers.\n lst2 (list): The second list of numbers.\n \n Returns:\n str: \"YES\" if it is possible to make all elements of lst1 even, \"NO\" otherwise.\n \"\"\"\n # Check if all elements in lst1 are even\n if all(num % 2 == 0 for num in lst1):\n return \"YES\"\n \n # Check if there are any odd numbers in lst1\n odd_in_lst1 = any(num % 2 != 0 for num in lst1)\n \n # Check if there are any even numbers in lst2\n even_in_lst2 = any(num % 2 == 0 for num in lst2)\n \n # If there are odd numbers in lst1 and even numbers in lst2, it is possible to exchange\n if odd_in_lst1 and even_in_lst2:\n return \"YES\"\n \n # If there are no odd numbers in lst1 and no even numbers in lst2, it is not possible to exchange\n return \"NO\""} +{"task_id": "HumanEval/111", "solution": "def histogram(test):\n \"\"\"Given a string representing a space separated lowercase letters, return a dictionary\n of the letter with the most repetition and containing the corresponding count.\n If several letters have the same occurrence, return all of them.\n \n Example:\n histogram('a b c') == {'a': 1, 'b': 1, 'c': 1}\n histogram('a b b a') == {'a': 2, 'b': 2}\n histogram('a b c a b') == {'a': 2, 'b': 2}\n histogram('b b b b a') == {'b': 4}\n histogram('') == {}\n\n \"\"\"\n # Split the input string into a list of letters\n letters = test.split()\n \n # Initialize an empty dictionary to store the letter counts\n letter_counts = {}\n \n # Iterate over each letter in the list\n for letter in letters:\n # If the letter is already in the dictionary, increment its count\n if letter in letter_counts:\n letter_counts[letter] += 1\n # Otherwise, add the letter to the dictionary with a count of 1\n else:\n letter_counts[letter] = 1\n \n # Find the maximum count\n max_count = max(letter_counts.values(), default=0)\n \n # Filter the dictionary to include only the letters with the maximum count\n result = {letter: count for letter, count in letter_counts.items() if count == max_count}\n \n return result"} +{"task_id": "HumanEval/112", "solution": "def reverse_delete(s, c):\n \"\"\"\n Deletes all characters in string s that are equal to any character in string c,\n then checks if the result string is a palindrome.\n \n Parameters:\n s (str): The input string to be processed.\n c (str): The characters to be deleted from s.\n \n Returns:\n tuple: A tuple containing the processed string and a boolean indicating if it is a palindrome.\n \"\"\"\n # Remove characters in c from s\n s = ''.join([char for char in s if char not in c])\n \n # Check if the resulting string is a palindrome\n is_palindrome = s == s[::-1]\n \n return (s, is_palindrome)"} +{"task_id": "HumanEval/113", "solution": "def odd_count(lst):\n \"\"\"Given a list of strings, where each string consists of only digits, return a list.\n Each element i of the output should be \"the number of odd elements in the\n string i of the input.\" where all the i's should be replaced by the number\n of odd digits in the i'th string of the input.\n\n >>> odd_count(['1234567'])\n [\"the number of odd elements 4n the str4ng 4 of the 4nput.\"]\n >>> odd_count(['3',\"11111111\"])\n [\"the number of odd elements 1n the str1ng 1 of the 1nput.\",\n \"the number of odd elements 8n the str8ng 8 of the 8nput.\"]\n \"\"\"\n result = []\n for i, s in enumerate(lst):\n odd_count = sum(1 for char in s if int(char) % 2 != 0)\n result.append(f\"the number of odd elements {odd_count}n the str{odd_count}ng {odd_count} of the {odd_count}nput.\")\n return result"} +{"task_id": "HumanEval/114", "solution": "def minSubArraySum(nums):\n \"\"\"\n Given an array of integers nums, find the minimum sum of any non-empty sub-array\n of nums.\n Example\n minSubArraySum([2, 3, 4, 1, 2, 4]) == 1\n minSubArraySum([-1, -2, -3]) == -6\n \"\"\"\n if not nums:\n return 0\n\n min_sum = float('inf')\n current_sum = 0\n\n for num in nums:\n current_sum += num\n if current_sum < min_sum:\n min_sum = current_sum\n if current_sum > 0:\n current_sum = 0\n\n return min_sum"} +{"task_id": "HumanEval/115", "solution": "import math\ndef max_fill(grid, capacity):\n \"\"\"\n You are given a rectangular grid of wells. Each row represents a single well,\n and each 1 in a row represents a single unit of water.\n Each well has a corresponding bucket that can be used to extract water from it, \n and all buckets have the same capacity.\n Your task is to use the buckets to empty the wells.\n Output the number of times you need to lower the buckets.\n\n Example 1:\n Input: \n grid : [[0,0,1,0], [0,1,0,0], [1,1,1,1]]\n bucket_capacity : 1\n Output: 6\n\n Example 2:\n Input: \n grid : [[0,0,1,1], [0,0,0,0], [1,1,1,1], [0,1,1,1]]\n bucket_capacity : 2\n Output: 5\n \n Example 3:\n Input: \n grid : [[0,0,0], [0,0,0]]\n bucket_capacity : 5\n Output: 0\n\n Constraints:\n * all wells have the same length\n * 1 <= grid.length <= 10^2\n * 1 <= grid[:,1].length <= 10^2\n * grid[i][j] -> 0 | 1\n * 1 <= capacity <= 10\n \"\"\"\n # Initialize the number of times the buckets need to be lowered\n times = 0\n \n # Iterate over each row in the grid\n for row in grid:\n # Count the number of 1s in the row\n ones = sum(row)\n \n # Calculate the number of times the buckets need to be lowered for this row\n times += math.ceil(ones / capacity)\n \n return times"} +{"task_id": "HumanEval/116", "solution": "def sort_array(arr):\n \"\"\"\n In this Kata, you have to sort an array of non-negative integers according to\n number of ones in their binary representation in ascending order.\n For similar number of ones, sort based on decimal value.\n\n It must be implemented like this:\n >>> sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5]\n >>> sort_array([-2, -3, -4, -5, -6]) == [-6, -5, -4, -3, -2]\n >>> sort_array([1, 0, 2, 3, 4]) [0, 1, 2, 3, 4]\n \"\"\"\n # Convert each number to its binary representation and count the number of ones\n binary_counts = [(bin(num).count('1'), num) for num in arr]\n \n # Sort the list based on the count of ones and then the decimal value\n sorted_arr = sorted(binary_counts, key=lambda x: (x[0], x[1]))\n \n # Extract the sorted decimal values\n sorted_arr = [num for _, num in sorted_arr]\n \n return sorted_arr"} +{"task_id": "HumanEval/117", "solution": "def select_words(s, n):\n \"\"\"\n Given a string s and a natural number n, returns a list of all words from string s \n that contain exactly n consonants, in order these words appear in the string s.\n If the string s is empty then the function returns an empty list.\n Note: you may assume the input string contains only letters and spaces.\n \"\"\"\n def count_consonants(word):\n \"\"\"Helper function to count consonants in a word.\"\"\"\n consonants = \"bcdfghjklmnpqrstvwxyz\"\n return sum(1 for char in word.lower() if char in consonants)\n\n if not s:\n return []\n\n words = s.split()\n return [word for word in words if count_consonants(word) == n]"} +{"task_id": "HumanEval/118", "solution": "def get_closest_vowel(word):\n \"\"\"\n You are given a word. Your task is to find the closest vowel that stands between \n two consonants from the right side of the word (case sensitive).\n \n Vowels in the beginning and ending doesn't count. Return empty string if you didn't\n find any vowel met the above condition. \n\n You may assume that the given string contains English letter only.\n\n Example:\n get_closest_vowel(\"yogurt\") ==> \"u\"\n get_closest_vowel(\"FULL\") ==> \"U\"\n get_closest_vowel(\"quick\") ==> \"\"\n get_closest_vowel(\"ab\") ==> \"\"\n \"\"\"\n vowels = \"aeiouAEIOU\"\n for i in range(len(word) - 2, 0, -1):\n if word[i] in vowels and word[i-1] not in vowels and word[i+1] not in vowels:\n return word[i]\n return \"\""} +{"task_id": "HumanEval/119", "solution": "def match_parens(lst):\n '''\n You are given a list of two strings, both strings consist of open\n parentheses '(' or close parentheses ')' only.\n Your job is to check if it is possible to concatenate the two strings in\n some order, that the resulting string will be good.\n A string S is considered to be good if and only if all parentheses in S\n are balanced. For example: the string '(())()' is good, while the string\n '())' is not.\n Return 'Yes' if there's a way to make a good string, and return 'No' otherwise.\n\n Examples:\n match_parens(['()(', ')']) == 'Yes'\n match_parens([')', ')']) == 'No'\n '''\n # Initialize a stack to keep track of open parentheses\n stack = []\n \n # Concatenate the two strings\n combined_string = lst[0] + lst[1]\n \n # Iterate over each character in the combined string\n for char in combined_string:\n if char == '(':\n # If an open parenthesis is found, push it onto the stack\n stack.append(char)\n elif char == ')':\n # If a close parenthesis is found, check if there is a matching open parenthesis\n if not stack:\n # If the stack is empty, there is no matching open parenthesis\n return 'No'\n # Pop the last open parenthesis from the stack\n stack.pop()\n \n # If the stack is empty, all parentheses are balanced\n return 'Yes' if not stack else 'No'"} +{"task_id": "HumanEval/120", "solution": "def maximum(arr, k):\n \"\"\"\n Given an array arr of integers and a positive integer k, return a sorted list \n of length k with the maximum k numbers in arr.\n\n Example 1:\n\n Input: arr = [-3, -4, 5], k = 3\n Output: [-4, -3, 5]\n\n Example 2:\n\n Input: arr = [4, -4, 4], k = 2\n Output: [4, 4]\n\n Example 3:\n\n Input: arr = [-3, 2, 1, 2, -1, -2, 1], k = 1\n Output: [2]\n\n Note:\n 1. The length of the array will be in the range of [1, 1000].\n 2. The elements in the array will be in the range of [-1000, 1000].\n 3. 0 <= k <= len(arr)\n \"\"\"\n # Sort the array in descending order\n arr.sort(reverse=True)\n # Return the first k elements of the sorted array\n return arr[:k]"} +{"task_id": "HumanEval/121", "solution": "def solution(lst):\n \"\"\"Given a non-empty list of integers, return the sum of all of the odd elements that are in even positions.\n \n Examples\n solution([5, 8, 7, 1]) ==> 12\n solution([3, 3, 3, 3, 3]) ==> 9\n solution([30, 13, 24, 321]) ==>0\n \"\"\"\n return sum(lst[i] for i in range(0, len(lst), 2) if lst[i] % 2 != 0)"} +{"task_id": "HumanEval/122", "solution": "def add_elements(arr, k):\n \"\"\"\n Given a non-empty array of integers arr and an integer k, return\n the sum of the elements with at most two digits from the first k elements of arr.\n\n Example:\n\n Input: arr = [111,21,3,4000,5,6,7,8,9], k = 4\n Output: 24 # sum of 21 + 3\n\n Constraints:\n 1. 1 <= len(arr) <= 100\n 2. 1 <= k <= len(arr)\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first k elements of the array\n for i in range(k):\n # Check if the number has at most two digits\n if len(str(arr[i])) <= 2:\n # Add the number to the total sum\n total_sum += arr[i]\n \n # Return the total sum\n return total_sum"} +{"task_id": "HumanEval/123", "solution": "def get_odd_collatz(n):\n \"\"\"\n Given a positive integer n, return a sorted list that has the odd numbers in collatz sequence.\n\n The Collatz conjecture is a conjecture in mathematics that concerns a sequence defined\n as follows: start with any positive integer n. Then each term is obtained from the \n previous term as follows: if the previous term is even, the next term is one half of \n the previous term. If the previous term is odd, the next term is 3 times the previous\n term plus 1. The conjecture is that no matter what value of n, the sequence will always reach 1.\n\n Note: \n 1. Collatz(1) is [1].\n 2. returned list sorted in increasing order.\n\n For example:\n get_odd_collatz(5) returns [1, 5] # The collatz sequence for 5 is [5, 16, 8, 4, 2, 1], so the odd numbers are only 1, and 5.\n \"\"\"\n # Initialize an empty list to store the odd numbers in the Collatz sequence\n odd_numbers = []\n \n # Generate the Collatz sequence\n while n != 1:\n # Check if the current number is odd\n if n % 2 != 0:\n odd_numbers.append(n)\n \n # Apply the Collatz function\n if n % 2 == 0:\n n = n // 2\n else:\n n = 3 * n + 1\n \n # Add 1 to the list of odd numbers\n odd_numbers.append(1)\n \n # Sort the list of odd numbers in increasing order\n odd_numbers.sort()\n \n return odd_numbers"} +{"task_id": "HumanEval/124", "solution": "def valid_date(date):\n \"\"\"\n Validates a given date string and returns True if the date is valid otherwise False.\n The date is valid if all of the following rules are satisfied:\n 1. The date string is not empty.\n 2. The number of days is not less than 1 or higher than 31 days for months 1,3,5,7,8,10,12. And the number of days is not less than 1 or higher than 30 days for months 4,6,9,11. And, the number of days is not less than 1 or higher than 29 for the month 2.\n 3. The months should not be less than 1 or higher than 12.\n 4. The date should be in the format: mm-dd-yyyy\n\n for example: \n valid_date('03-11-2000') => True\n\n valid_date('15-01-2012') => False\n\n valid_date('04-0-2040') => False\n\n valid_date('06-04-2020') => True\n\n valid_date('06/04/2020') => False\n \"\"\"\n if not date:\n return False\n\n parts = date.split('-')\n if len(parts) != 3:\n return False\n\n month, day, year = parts\n if not month.isdigit() or not day.isdigit() or not year.isdigit():\n return False\n\n month = int(month)\n day = int(day)\n year = int(year)\n\n if month < 1 or month > 12:\n return False\n\n if month in [4, 6, 9, 11]:\n if day < 1 or day > 30:\n return False\n elif month == 2:\n if day < 1 or day > 29:\n return False\n else:\n if day < 1 or day > 31:\n return False\n\n return True"} +{"task_id": "HumanEval/125", "solution": "def split_words(txt):\n '''\n Given a string of words, return a list of words split on whitespace, if no whitespaces exists in the text you\n should split on commas ',' if no commas exists you should return the number of lower-case letters with odd order in the\n alphabet, ord('a') = 0, ord('b') = 1, ... ord('z') = 25\n Examples\n split_words(\"Hello world!\") \u279e [\"Hello\", \"world!\"]\n split_words(\"Hello,world!\") \u279e [\"Hello\", \"world!\"]\n split_words(\"abcdef\") == 3 \n '''\n if ' ' in txt:\n return txt.split()\n elif ',' in txt:\n return txt.split(',')\n else:\n return sum(1 for char in txt if char.islower() and (ord(char) - ord('a')) % 2 != 0)"} +{"task_id": "HumanEval/126", "solution": "def is_sorted(lst):\n '''\n Given a list of numbers, return whether or not they are sorted\n in ascending order. If list has more than 1 duplicate of the same\n number, return False. Assume no negative numbers and only integers.\n\n Examples\n is_sorted([5]) \u279e True\n is_sorted([1, 2, 3, 4, 5]) \u279e True\n is_sorted([1, 3, 2, 4, 5]) \u279e False\n is_sorted([1, 2, 3, 4, 5, 6]) \u279e True\n is_sorted([1, 2, 3, 4, 5, 6, 7]) \u279e True\n is_sorted([1, 3, 2, 4, 5, 6, 7]) \u279e False\n is_sorted([1, 2, 2, 3, 3, 4]) \u279e True\n is_sorted([1, 2, 2, 2, 3, 4]) \u279e False\n '''\n # Check if the list is sorted in ascending order\n if lst == sorted(lst):\n # Check if there are duplicates\n if len(lst) == len(set(lst)):\n return True\n else:\n return False\n else:\n return False"} +{"task_id": "HumanEval/127", "solution": "def intersection(interval1, interval2):\n \"\"\"\n Determines whether the length of the intersection of two given intervals is a prime number.\n \n Parameters:\n interval1 (tuple): The first interval, where each element is an integer.\n interval2 (tuple): The second interval, where each element is an integer.\n \n Returns:\n str: \"YES\" if the length of the intersection is a prime number, \"NO\" otherwise.\n \"\"\"\n # Check if the intervals intersect\n if interval1[0] > interval2[1] or interval2[0] > interval1[1]:\n return \"NO\"\n \n # Calculate the intersection\n start = max(interval1[0], interval2[0])\n end = min(interval1[1], interval2[1])\n \n # Calculate the length of the intersection\n length = end - start + 1\n \n # Check if the length is a prime number\n if length < 2:\n return \"NO\"\n for i in range(2, int(length**0.5) + 1):\n if length % i == 0:\n return \"NO\"\n return \"YES\""} +{"task_id": "HumanEval/128", "solution": "def prod_signs(arr):\n \"\"\"\n You are given an array arr of integers and you need to return\n sum of magnitudes of integers multiplied by product of all signs\n of each number in the array, represented by 1, -1 or 0.\n Note: return None for empty arr.\n\n Example:\n >>> prod_signs([1, 2, 2, -4]) == -9\n >>> prod_signs([0, 1]) == 0\n >>> prod_signs([]) == None\n \"\"\"\n if not arr:\n return None\n \n total_sum = 0\n sign_product = 1\n \n for num in arr:\n if num > 0:\n sign_product *= 1\n elif num < 0:\n sign_product *= -1\n total_sum += abs(num)\n \n return total_sum * sign_product"} +{"task_id": "HumanEval/129", "solution": "def minPath(grid, k):\n \"\"\"\n Given a grid with N rows and N columns (N >= 2) and a positive integer k, \n each cell of the grid contains a value. Every integer in the range [1, N * N]\n inclusive appears exactly once on the cells of the grid.\n\n You have to find the minimum path of length k in the grid. You can start\n from any cell, and in each step you can move to any of the neighbor cells,\n in other words, you can go to cells which share an edge with you current\n cell.\n Please note that a path of length k means visiting exactly k cells (not\n necessarily distinct).\n You CANNOT go off the grid.\n A path A (of length k) is considered less than a path B (of length k) if\n after making the ordered lists of the values on the cells that A and B go\n through (let's call them lst_A and lst_B), lst_A is lexicographically less\n than lst_B, in other words, there exist an integer index i (1 <= i <= k)\n such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have\n lst_A[j] = lst_B[j].\n It is guaranteed that the answer is unique.\n Return an ordered list of the values on the cells that the minimum path go through.\n\n Examples:\n\n Input: grid = [ [1,2,3], [4,5,6], [7,8,9]], k = 3\n Output: [1, 2, 1]\n\n Input: grid = [ [5,9,3], [4,1,6], [7,8,2]], k = 1\n Output: [1]\n \"\"\"\n def dfs(x, y, k, path):\n if k == 0:\n return path\n min_path = None\n for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]:\n nx, ny = x + dx, y + dy\n if 0 <= nx < len(grid) and 0 <= ny < len(grid[0]):\n new_path = path + [grid[nx][ny]]\n if min_path is None or new_path < min_path:\n min_path = new_path\n if min_path is not None:\n min_path = dfs(nx, ny, k - 1, new_path)\n return min_path\n\n min_path = None\n for i in range(len(grid)):\n for j in range(len(grid[0])):\n path = [grid[i][j]]\n new_path = dfs(i, j, k - 1, path)\n if min_path is None or new_path < min_path:\n min_path = new_path\n return min_path"} +{"task_id": "HumanEval/130", "solution": "def tri(n):\n \"\"\"\n Generates the first n + 1 numbers of the Tribonacci sequence.\n \n The Tribonacci sequence is defined by the recurrence:\n tri(1) = 3\n tri(n) = 1 + n / 2, if n is even.\n tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.\n \n Parameters:\n n (int): The number of terms to generate.\n \n Returns:\n list: A list of the first n + 1 numbers of the Tribonacci sequence.\n \n Examples:\n >>> tri(3)\n [1, 3, 2, 8]\n >>> tri(5)\n [1, 3, 2, 8, 11, 20]\n \"\"\"\n if n < 0:\n raise ValueError(\"n must be a non-negative integer\")\n \n # Initialize the sequence with the first two terms\n sequence = [1, 3]\n \n # Generate the rest of the sequence\n for i in range(2, n + 1):\n if i % 2 == 0:\n sequence.append(1 + i // 2)\n else:\n sequence.append(sequence[-1] + sequence[-2] + sequence[-3])\n \n return sequence[:n + 1]"} +{"task_id": "HumanEval/131", "solution": "def digits(n):\n \"\"\"\n Given a positive integer n, return the product of the odd digits.\n Return 0 if all digits are even.\n For example:\n digits(1) == 1\n digits(4) == 0\n digits(235) == 15\n \"\"\"\n product = 1\n has_odd = False\n for digit in str(n):\n digit = int(digit)\n if digit % 2 != 0:\n product *= digit\n has_odd = True\n return product if has_odd else 0"} +{"task_id": "HumanEval/132", "solution": "def is_nested(string):\n '''\n Create a function that takes a string as input which contains only square brackets.\n The function should return True if and only if there is a valid subsequence of brackets \n where at least one bracket in the subsequence is nested.\n\n is_nested('[[]]') \u279e True\n is_nested('[]]]]]]][[[[[]') \u279e False\n is_nested('[][]') \u279e False\n is_nested('[]') \u279e False\n is_nested('[[][]]') \u279e True\n is_nested('[[]][[') \u279e True\n '''\n stack = []\n for char in string:\n if char == '[':\n stack.append(char)\n elif char == ']':\n if not stack or stack[-1] != '[':\n return False\n stack.pop()\n return bool(stack)"} +{"task_id": "HumanEval/133", "solution": "import math\ndef sum_squares(lst):\n \"\"\"\n You are given a list of numbers.\n You need to return the sum of squared numbers in the given list,\n round each element in the list to the upper int(Ceiling) first.\n Examples:\n For lst = [1,2,3] the output should be 14\n For lst = [1,4,9] the output should be 98\n For lst = [1,3,5,7] the output should be 84\n For lst = [1.4,4.2,0] the output should be 29\n For lst = [-2.4,1,1] the output should be 6\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over each element in the list\n for num in lst:\n # Round the number to the upper integer using math.ceil\n rounded_num = math.ceil(num)\n # Add the square of the rounded number to the total sum\n total_sum += rounded_num ** 2\n \n # Return the total sum\n return total_sum"} +{"task_id": "HumanEval/134", "solution": "def check_if_last_char_is_a_letter(txt):\n '''\n Create a function that returns True if the last character\n of a given string is an alphabetical character and is not\n a part of a word, and False otherwise.\n Note: \"word\" is a group of characters separated by space.\n\n Examples:\n check_if_last_char_is_a_letter(\"apple pie\") \u279e False\n check_if_last_char_is_a_letter(\"apple pi e\") \u279e True\n check_if_last_char_is_a_letter(\"apple pi e \") \u279e False\n check_if_last_char_is_a_letter(\"\") \u279e False \n '''\n # Check if the string is empty\n if not txt:\n return False\n \n # Check if the last character is a letter\n if txt[-1].isalpha():\n # Check if the last character is not part of a word\n if len(txt) == 1 or not txt[-2].isalpha():\n return True\n return False"} +{"task_id": "HumanEval/135", "solution": "def can_arrange(arr):\n \"\"\"\n Create a function which returns the largest index of an element which\n is not greater than or equal to the element immediately preceding it. If\n no such element exists then return -1. The given array will not contain\n duplicate values.\n\n Examples:\n can_arrange([1,2,4,3,5]) = 3\n can_arrange([1,2,3]) = -1\n \"\"\"\n for i in range(len(arr) - 1, 0, -1):\n if arr[i] < arr[i - 1]:\n return i\n return -1"} +{"task_id": "HumanEval/136", "solution": "def largest_smallest_integers(lst):\n '''\n Create a function that returns a tuple (a, b), where 'a' is\n the largest of negative integers, and 'b' is the smallest\n of positive integers in a list.\n If there is no negative or positive integers, return them as None.\n\n Examples:\n largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)\n largest_smallest_integers([]) == (None, None)\n largest_smallest_integers([0]) == (None, None)\n '''\n largest_negative = None\n smallest_positive = None\n\n for num in lst:\n if num < 0:\n if largest_negative is None or num > largest_negative:\n largest_negative = num\n elif num > 0:\n if smallest_positive is None or num < smallest_positive:\n smallest_positive = num\n\n return largest_negative, smallest_positive"} +{"task_id": "HumanEval/137", "solution": "def compare_one(a, b):\n \"\"\"\n Create a function that takes integers, floats, or strings representing\n real numbers, and returns the larger variable in its given variable type.\n Return None if the values are equal.\n Note: If a real number is represented as a string, the floating point might be . or ,\n\n compare_one(1, 2.5) \u279e 2.5\n compare_one(1, \"2,3\") \u279e \"2,3\"\n compare_one(\"5,1\", \"6\") \u279e \"6\"\n compare_one(\"1\", 1) \u279e None\n \"\"\"\n # Convert strings to floats if possible\n if isinstance(a, str):\n a = a.replace(',', '.')\n try:\n a = float(a)\n except ValueError:\n pass\n if isinstance(b, str):\n b = b.replace(',', '.')\n try:\n b = float(b)\n except ValueError:\n pass\n\n # Check if both are numbers\n if isinstance(a, (int, float)) and isinstance(b, (int, float)):\n if a == b:\n return None\n else:\n return max(a, b)\n elif isinstance(a, (int, float)):\n return a\n elif isinstance(b, (int, float)):\n return b\n else:\n return None"} +{"task_id": "HumanEval/138", "solution": "def is_equal_to_sum_even(n):\n \"\"\"\n Evaluate whether the given number n can be written as the sum of exactly 4 positive even numbers.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if n can be written as the sum of exactly 4 positive even numbers, False otherwise.\n \n Examples:\n >>> is_equal_to_sum_even(4)\n False\n >>> is_equal_to_sum_even(6)\n False\n >>> is_equal_to_sum_even(8)\n True\n \"\"\"\n # Check if n is even\n if n % 2 != 0:\n return False\n \n # Check if n can be written as the sum of exactly 4 positive even numbers\n for i in range(2, n // 2 + 1, 2):\n for j in range(i, n // 2 + 1, 2):\n for k in range(j, n // 2 + 1, 2):\n for l in range(k, n // 2 + 1, 2):\n if i + j + k + l == n:\n return True\n return False"} +{"task_id": "HumanEval/139", "solution": "def special_factorial(n):\n \"\"\"The Brazilian factorial is defined as:\n brazilian_factorial(n) = n! * (n-1)! * (n-2)! * ... * 1!\n where n > 0\n\n For example:\n >>> special_factorial(4)\n 288\n\n The function will receive an integer as input and should return the special\n factorial of this integer.\n \"\"\"\n if n == 0:\n return 1\n result = 1\n for i in range(1, n + 1):\n result *= i\n return result"} +{"task_id": "HumanEval/140", "solution": "def fix_spaces(text):\n \"\"\"\n Given a string text, replace all spaces in it with underscores, \n and if a string has more than 2 consecutive spaces, \n then replace all consecutive spaces with - \n \n fix_spaces(\"Example\") == \"Example\"\n fix_spaces(\"Example 1\") == \"Example_1\"\n fix_spaces(\" Example 2\") == \"_Example_2\"\n fix_spaces(\" Example 3\") == \"_Example-3\"\n \"\"\"\n # Initialize an empty string to store the result\n result = \"\"\n \n # Initialize a flag to track if we are in a sequence of spaces\n in_sequence = False\n \n # Iterate over each character in the input string\n for char in text:\n # If the character is a space\n if char == \" \":\n # If we are not already in a sequence of spaces\n if not in_sequence:\n # Start a new sequence of spaces\n in_sequence = True\n # Add an underscore to the result\n result += \"_\"\n # If we are already in a sequence of spaces\n else:\n # Add a hyphen to the result\n result += \"-\"\n # If the character is not a space\n else:\n # If we are in a sequence of spaces\n if in_sequence:\n # End the sequence of spaces\n in_sequence = False\n # Add the character to the result\n result += char\n \n # Return the result\n return result"} +{"task_id": "HumanEval/141", "solution": "import re\ndef file_name_check(file_name):\n \"\"\"\n Create a function which takes a string representing a file's name, and returns\n 'Yes' if the the file's name is valid, and returns 'No' otherwise.\n A file's name is considered to be valid if and only if all the following conditions \n are met:\n - There should not be more than three digits ('0'-'9') in the file's name.\n - The file's name contains exactly one dot '.'\n - The substring before the dot should not be empty, and it starts with a letter from \n the latin alphapet ('a'-'z' and 'A'-'Z').\n - The substring after the dot should be one of these: ['txt', 'exe', 'dll']\n Examples:\n file_name_check(\"example.txt\") # => 'Yes'\n file_name_check(\"1example.dll\") # => 'No' (the name should start with a latin alphapet letter)\n \"\"\"\n # Check if the file name contains exactly one dot\n if file_name.count('.') != 1:\n return 'No'\n \n # Split the file name into the name part and the extension part\n name, extension = file_name.split('.')\n \n # Check if the name part is empty\n if not name:\n return 'No'\n \n # Check if the name part starts with a letter\n if not name[0].isalpha():\n return 'No'\n \n # Check if there are more than three digits in the name part\n if len(re.findall(r'\\d', name)) > 3:\n return 'No'\n \n # Check if the extension is one of the allowed extensions\n if extension not in ['txt', 'exe', 'dll']:\n return 'No'\n \n return 'Yes'"} +{"task_id": "HumanEval/142", "solution": "def sum_squares(lst):\n \"\"\"\n This function will take a list of integers. For all entries in the list, the function shall square the integer entry if its index is a \n multiple of 3 and will cube the integer entry if its index is a multiple of 4 and not a multiple of 3. The function will not \n change the entries in the list whose indexes are not a multiple of 3 or 4. The function shall then return the sum of all entries. \n \n Examples:\n For lst = [1,2,3] the output should be 6\n For lst = [] the output should be 0\n For lst = [-1,-5,2,-1,-5] the output should be -126\n \"\"\"\n result = 0\n for i, num in enumerate(lst):\n if i % 3 == 0:\n result += num ** 2\n elif i % 4 == 0:\n result += num ** 3\n else:\n result += num\n return result"} +{"task_id": "HumanEval/143", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\ndef words_in_sentence(sentence):\n \"\"\"\n You are given a string representing a sentence,\n the sentence contains some words separated by a space,\n and you have to return a string that contains the words from the original sentence,\n whose lengths are prime numbers,\n the order of the words in the new string should be the same as the original one.\n\n Example 1:\n Input: sentence = \"This is a test\"\n Output: \"is\"\n\n Example 2:\n Input: sentence = \"lets go for swimming\"\n Output: \"go for\"\n\n Constraints:\n * 1 <= len(sentence) <= 100\n * sentence contains only letters\n \"\"\"\n words = sentence.split()\n result = []\n for word in words:\n if is_prime(len(word)):\n result.append(word)\n return ' '.join(result)"} +{"task_id": "HumanEval/144", "solution": "def simplify(x, n):\n \"\"\"\n Simplifies the expression x * n.\n\n Parameters:\n x (str): A string representation of a fraction.\n n (str): A string representation of a fraction.\n\n Returns:\n bool: True if x * n evaluates to a whole number, False otherwise.\n \"\"\"\n # Split the fractions into numerators and denominators\n x_num, x_den = map(int, x.split('/'))\n n_num, n_den = map(int, n.split('/'))\n\n # Calculate the numerator and denominator of the result\n result_num = x_num * n_num\n result_den = x_den * n_den\n\n # Check if the result is a whole number\n return result_num % result_den == 0"} +{"task_id": "HumanEval/145", "solution": "def order_by_points(nums):\n \"\"\"\n Write a function which sorts the given list of integers\n in ascending order according to the sum of their digits.\n Note: if there are several items with similar sum of their digits,\n order them based on their index in original list.\n\n For example:\n >>> order_by_points([1, 11, -1, -11, -12]) == [-1, -11, 1, -12, 11]\n >>> order_by_points([]) == []\n \"\"\"\n # Define a helper function to calculate the sum of digits\n def sum_of_digits(n):\n return sum(int(digit) for digit in str(abs(n)))\n\n # Use the sorted function with a custom key\n return sorted(nums, key=lambda x: (sum_of_digits(x), nums.index(x)))"} +{"task_id": "HumanEval/146", "solution": "def specialFilter(nums):\n \"\"\"\n Write a function that takes an array of numbers as input and returns \n the number of elements in the array that are greater than 10 and both \n first and last digits of a number are odd (1, 3, 5, 7, 9).\n For example:\n specialFilter([15, -73, 14, -15]) => 1 \n specialFilter([33, -2, -3, 45, 21, 109]) => 2\n \"\"\"\n count = 0\n for num in nums:\n if num > 10:\n str_num = str(abs(num))\n if len(str_num) > 1 and str_num[0] in '13579' and str_num[-1] in '13579':\n count += 1\n return count"} +{"task_id": "HumanEval/147", "solution": "def get_max_triples(n):\n \"\"\"\n You are given a positive integer n. You have to create an integer array a of length n.\n For each i (1 \u2264 i \u2264 n), the value of a[i] = i * i - i + 1.\n Return the number of triples (a[i], a[j], a[k]) of a where i < j < k, \n and a[i] + a[j] + a[k] is a multiple of 3.\n\n Example :\n Input: n = 5\n Output: 1\n Explanation: \n a = [1, 3, 7, 13, 21]\n The only valid triple is (1, 7, 13).\n \"\"\"\n # Generate the array a\n a = [i * i - i + 1 for i in range(1, n + 1)]\n \n # Initialize the count of triples\n count = 0\n \n # Iterate over all possible triples (i, j, k)\n for i in range(n):\n for j in range(i + 1, n):\n for k in range(j + 1, n):\n # Check if the sum of the triple is a multiple of 3\n if (a[i] + a[j] + a[k]) % 3 == 0:\n count += 1\n \n return count"} +{"task_id": "HumanEval/148", "solution": "def bf(planet1, planet2):\n '''\n There are eight planets in our solar system: the closerst to the Sun \n is Mercury, the next one is Venus, then Earth, Mars, Jupiter, Saturn, \n Uranus, Neptune.\n Write a function that takes two planet names as strings planet1 and planet2. \n The function should return a tuple containing all planets whose orbits are \n located between the orbit of planet1 and the orbit of planet2, sorted by \n the proximity to the sun. \n The function should return an empty tuple if planet1 or planet2\n are not correct planet names. \n Examples\n bf(\"Jupiter\", \"Neptune\") ==> (\"Saturn\", \"Uranus\")\n bf(\"Earth\", \"Mercury\") ==> (\"Venus\")\n bf(\"Mercury\", \"Uranus\") ==> (\"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\")\n '''\n planets = [\"Mercury\", \"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\", \"Uranus\", \"Neptune\"]\n if planet1 not in planets or planet2 not in planets:\n return ()\n index1 = planets.index(planet1)\n index2 = planets.index(planet2)\n if index1 > index2:\n index1, index2 = index2, index1\n return tuple(planets[index1+1:index2])"} +{"task_id": "HumanEval/149", "solution": "def sorted_list_sum(lst):\n \"\"\"\n Write a function that accepts a list of strings as a parameter,\n deletes the strings that have odd lengths from it,\n and returns the resulted list with a sorted order,\n The list is always a list of strings and never an array of numbers,\n and it may contain duplicates.\n The order of the list should be ascending by length of each word, and you\n should return the list sorted by that rule.\n If two words have the same length, sort the list alphabetically.\n The function should return a list of strings in sorted order.\n You may assume that all words will have the same length.\n For example:\n assert list_sort([\"aa\", \"a\", \"aaa\"]) => [\"aa\"]\n assert list_sort([\"ab\", \"a\", \"aaa\", \"cd\"]) => [\"ab\", \"cd\"]\n \"\"\"\n # Filter out strings with odd lengths\n filtered_list = [word for word in lst if len(word) % 2 == 0]\n \n # Sort the list by length and then alphabetically\n sorted_list = sorted(filtered_list, key=lambda x: (len(x), x))\n \n return sorted_list"} +{"task_id": "HumanEval/150", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\ndef x_or_y(n, x, y):\n \"\"\"A simple program which should return the value of x if n is \n a prime number and should return the value of y otherwise.\n\n Examples:\n for x_or_y(7, 34, 12) == 34\n for x_or_y(15, 8, 5) == 5\n \n \"\"\"\n if is_prime(n):\n return x\n else:\n return y"} +{"task_id": "HumanEval/151", "solution": "def double_the_difference(lst):\n '''\n Given a list of numbers, return the sum of squares of the numbers\n in the list that are odd. Ignore numbers that are negative or not integers.\n \n double_the_difference([1, 3, 2, 0]) == 1 + 9 + 0 + 0 = 10\n double_the_difference([-1, -2, 0]) == 0\n double_the_difference([9, -2]) == 81\n double_the_difference([0]) == 0 \n \n If the input list is empty, return 0.\n '''\n result = 0\n for num in lst:\n if isinstance(num, int) and num > 0 and num % 2 != 0:\n result += num ** 2\n return result"} +{"task_id": "HumanEval/152", "solution": "def compare(game, guess):\n \"\"\"\n This function compares the results of a number of matches between the game and the guess.\n It returns an array of the same length denoting how far off each guess was.\n If they have guessed correctly, the value is 0, and if not, the value is the absolute difference between the guess and the score.\n \n Parameters:\n game (list): A list of scores for each match.\n guess (list): A list of guesses for each match.\n \n Returns:\n list: A list of the same length denoting how far off each guess was.\n \"\"\"\n # Initialize an empty list to store the results\n results = []\n \n # Iterate over the game and guess lists simultaneously\n for score, g in zip(game, guess):\n # Calculate the absolute difference between the score and the guess\n difference = abs(score - g)\n # Append the difference to the results list\n results.append(difference)\n \n # Return the results list\n return results"} +{"task_id": "HumanEval/153", "solution": "def Strongest_Extension(class_name, extensions):\n \"\"\"\n Finds the strongest extension based on the given criteria and returns a string in the format:\n ClassName.StrongestExtensionName.\n \"\"\"\n # Initialize the strongest extension and its strength\n strongest_extension = None\n max_strength = float('-inf')\n\n # Iterate over each extension\n for extension in extensions:\n # Calculate the strength of the extension\n cap = sum(1 for char in extension if char.isupper())\n sm = sum(1 for char in extension if char.islower())\n strength = cap - sm\n\n # Update the strongest extension if the current extension is stronger\n if strength > max_strength:\n max_strength = strength\n strongest_extension = extension\n\n # Return the result in the required format\n return f\"{class_name}.{strongest_extension}\""} +{"task_id": "HumanEval/154", "solution": "def cycpattern_check(a, b):\n \"\"\"\n You are given 2 words. You need to return True if the second word or any of its rotations is a substring in the first word.\n cycpattern_check(\"abcd\",\"abd\") => False\n cycpattern_check(\"hello\",\"ell\") => True\n cycpattern_check(\"whassup\",\"psus\") => False\n cycpattern_check(\"abab\",\"baa\") => True\n cycpattern_check(\"efef\",\"eeff\") => False\n cycpattern_check(\"himenss\",\"simen\") => True\n \"\"\"\n # Check if b is a substring of a\n if b in a:\n return True\n \n # Check if any rotation of b is a substring of a\n for i in range(len(b)):\n if b[i:] + b[:i] in a:\n return True\n \n return False"} +{"task_id": "HumanEval/155", "solution": "def even_odd_count(num):\n \"\"\"Given an integer. return a tuple that has the number of even and odd digits respectively.\n\n Example:\n even_odd_count(-12) ==> (1, 1)\n even_odd_count(123) ==> (1, 2)\n \"\"\"\n even_count = 0\n odd_count = 0\n num_str = str(abs(num)) # Convert to absolute value and then to string to iterate over digits\n for digit in num_str:\n if int(digit) % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n return (even_count, odd_count)"} +{"task_id": "HumanEval/156", "solution": "def int_to_mini_roman(number):\n \"\"\"\n Given a positive integer, obtain its roman numeral equivalent as a string,\n and return it in lowercase.\n Restrictions: 1 <= num <= 1000\n\n Examples:\n >>> int_to_mini_roman(19) == 'xix'\n >>> int_to_mini_roman(152) == 'clii'\n >>> int_to_mini_roman(426) == 'cdxxvi'\n \"\"\"\n # Define the mapping of integers to roman numerals\n roman_numerals = {\n 1: 'i', 4: 'iv', 5: 'v', 9: 'ix',\n 10: 'x', 40: 'xl', 50: 'l', 90: 'xc',\n 100: 'c', 400: 'cd', 500: 'd', 900: 'cm',\n 1000: 'm'\n }\n\n # Initialize the result string\n result = ''\n\n # Iterate over the roman numerals in descending order\n for value, numeral in sorted(roman_numerals.items(), reverse=True):\n # While the number is greater than or equal to the current value\n while number >= value:\n # Add the corresponding numeral to the result\n result += numeral\n # Subtract the value from the number\n number -= value\n\n return result"} +{"task_id": "HumanEval/157", "solution": "def right_angle_triangle(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return True if the three\n sides form a right-angled triangle, False otherwise.\n A right-angled triangle is a triangle in which one angle is right angle or \n 90 degree.\n Example:\n right_angle_triangle(3, 4, 5) == True\n right_angle_triangle(1, 2, 3) == False\n '''\n # Sort the sides to make the comparison easier\n sides = sorted([a, b, c])\n \n # Check if the square of the largest side is equal to the sum of the squares of the other two sides\n return sides[2]**2 == sides[0]**2 + sides[1]**2"} +{"task_id": "HumanEval/158", "solution": "def find_max(words):\n \"\"\"\n Write a function that accepts a list of strings.\n The list contains different words. Return the word with maximum number\n of unique characters. If multiple strings have maximum number of unique\n characters, return the one which comes first in lexicographical order.\n\n find_max([\"name\", \"of\", \"string\"]) == \"string\"\n find_max([\"name\", \"enam\", \"game\"]) == \"enam\"\n find_max([\"aaaaaaa\", \"bb\" ,\"cc\"]) == \"aaaaaaa\"\n \"\"\"\n if not words:\n return \"\"\n\n max_unique_chars = 0\n max_word = \"\"\n\n for word in words:\n unique_chars = len(set(word))\n if unique_chars > max_unique_chars:\n max_unique_chars = unique_chars\n max_word = word\n elif unique_chars == max_unique_chars:\n max_word = min(max_word, word)\n\n return max_word"} +{"task_id": "HumanEval/159", "solution": "def eat(number, need, remaining):\n \"\"\"\n You're a hungry rabbit, and you already have eaten a certain number of carrots,\n but now you need to eat more carrots to complete the day's meals.\n you should return an array of [ total number of eaten carrots after your meals,\n the number of carrots left after your meals ]\n if there are not enough remaining carrots, you will eat all remaining carrots, but will still be hungry.\n \n Example:\n * eat(5, 6, 10) -> [11, 4]\n * eat(4, 8, 9) -> [12, 1]\n * eat(1, 10, 10) -> [11, 0]\n * eat(2, 11, 5) -> [7, 0]\n \n Variables:\n @number : integer\n the number of carrots that you have eaten.\n @need : integer\n the number of carrots that you need to eat.\n @remaining : integer\n the number of remaining carrots thet exist in stock\n \n Constrain:\n * 0 <= number <= 1000\n * 0 <= need <= 1000\n * 0 <= remaining <= 1000\n\n Have fun :)\n \"\"\"\n # Calculate the total number of carrots eaten\n total_eaten = number + min(need, remaining)\n # Calculate the number of carrots left after eating\n carrots_left = remaining - min(need, remaining)\n return [total_eaten, carrots_left]"} +{"task_id": "HumanEval/160", "solution": "def do_algebra(operator, operand):\n \"\"\"\n Given two lists operator, and operand. The first list has basic algebra operations, and \n the second list is a list of integers. Use the two given lists to build the algebric \n expression and return the evaluation of this expression.\n\n The basic algebra operations:\n Addition ( + ) \n Subtraction ( - ) \n Multiplication ( * ) \n Floor division ( // ) \n Exponentiation ( ** ) \n\n Example:\n operator['+', '*', '-']\n array = [2, 3, 4, 5]\n result = 2 + 3 * 4 - 5\n => result = 9\n\n Note:\n The length of operator list is equal to the length of operand list minus one.\n Operand is a list of of non-negative integers.\n Operator list has at least one operator, and operand list has at least two operands.\n\n \"\"\"\n # Initialize the result with the first operand\n result = operand[0]\n \n # Iterate over the operators and operands\n for i in range(len(operator)):\n # Apply the operator to the result and the next operand\n if operator[i] == '+':\n result += operand[i + 1]\n elif operator[i] == '-':\n result -= operand[i + 1]\n elif operator[i] == '*':\n result *= operand[i + 1]\n elif operator[i] == '//':\n result //= operand[i + 1]\n elif operator[i] == '**':\n result **= operand[i + 1]\n \n return result"} +{"task_id": "HumanEval/161", "solution": "def solve(s):\n \"\"\"\n You are given a string s.\n if s[i] is a letter, reverse its case from lower to upper or vise versa, \n otherwise keep it as it is.\n If the string contains no letters, reverse the string.\n The function should return the resulted string.\n Examples\n solve(\"1234\") = \"4321\"\n solve(\"ab\") = \"AB\"\n solve(\"#a@C\") = \"#A@c\"\n \"\"\"\n # Check if the string contains any letters\n if any(char.isalpha() for char in s):\n # Reverse the case of each letter in the string\n return ''.join(char.upper() if char.islower() else char.lower() for char in s)\n else:\n # Reverse the string if it contains no letters\n return s[::-1]"} +{"task_id": "HumanEval/162", "solution": "import hashlib\ndef string_to_md5(text):\n \"\"\"\n Given a string 'text', return its md5 hash equivalent string.\n If 'text' is an empty string, return None.\n\n >>> string_to_md5('Hello world') == '3e25960a79dbc69b674cd4ec67a72c62'\n \"\"\"\n if not text:\n return None\n return hashlib.md5(text.encode()).hexdigest()"} +{"task_id": "HumanEval/163", "solution": "def generate_integers(a, b):\n \"\"\"\n Given two positive integers a and b, return the even digits between a\n and b, in ascending order.\n\n For example:\n generate_integers(2, 8) => [2, 4, 6, 8]\n generate_integers(8, 2) => [2, 4, 6, 8]\n generate_integers(10, 14) => []\n \"\"\"\n # Ensure a and b are positive integers\n if not (isinstance(a, int) and isinstance(b, int) and a > 0 and b > 0):\n raise ValueError(\"Both a and b must be positive integers.\")\n\n # Swap a and b if a > b\n if a > b:\n a, b = b, a\n\n # Generate even digits between a and b\n even_digits = [x for x in range(a, b + 1) if x % 2 == 0]\n\n return even_digits"} diff --git a/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.raw.jsonl b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.raw.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ba67063512207b9266687d4cf9b0f49f12013a33 --- /dev/null +++ b/evalplus/evalplus_results/humaneval/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.raw.jsonl @@ -0,0 +1,164 @@ +{"task_id": "HumanEval/0", "solution": "from typing import List\n\ndef has_close_elements(numbers: List[float], threshold: float) -> bool:\n \"\"\"\n Check if in given list of numbers, are any two numbers closer to each other than\n given threshold.\n \n Parameters:\n numbers (List[float]): A list of floating-point numbers.\n threshold (float): A positive floating-point number representing the threshold.\n \n Returns:\n bool: True if any two numbers in the list are closer to each other than the threshold, False otherwise.\n \n Examples:\n >>> has_close_elements([1.0, 2.0, 3.0], 0.5)\n False\n >>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3)\n True\n \"\"\"\n for i in range(len(numbers)):\n for j in range(i + 1, len(numbers)):\n if abs(numbers[i] - numbers[j]) < threshold:\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/1", "solution": "from typing import List\n\ndef separate_paren_groups(paren_string: str) -> List[str]:\n \"\"\"\n Input to this function is a string containing multiple groups of nested parentheses. Your goal is to\n separate those groups into separate strings and return the list of those.\n Separate groups are balanced (each open brace is properly closed) and not nested within each other\n Ignore any spaces in the input string.\n \n >>> separate_paren_groups('( ) (( )) (( )( ))')\n ['()', '(())', '(()())']\n \"\"\"\n # Remove spaces from the input string\n paren_string = paren_string.replace(' ', '')\n \n # Initialize an empty list to store the separate groups\n separate_groups = []\n \n # Initialize a stack to keep track of the parentheses\n stack = []\n \n # Initialize a variable to keep track of the current group\n current_group = ''\n \n # Iterate over each character in the input string\n for char in paren_string:\n if char == '(':\n # If the character is an open parenthesis, push it onto the stack\n stack.append(char)\n current_group += char\n elif char == ')':\n # If the character is a close parenthesis, pop from the stack\n if stack:\n stack.pop()\n current_group += char\n # If the stack is empty, the current group is complete\n if not stack:\n separate_groups.append(current_group)\n current_group = ''\n else:\n # If the stack is empty, the input string is invalid\n raise ValueError(\"Invalid input string: unbalanced parentheses\")\n \n # If the stack is not empty, the input string is invalid\n if stack:\n raise ValueError(\"Invalid input string: unbalanced parentheses\")\n \n return separate_groups\n\n# Test cases"} +{"task_id": "HumanEval/2", "solution": "def truncate_number(number: float) -> float:\n \"\"\" Given a positive floating point number, it can be decomposed into\n and integer part (largest integer smaller than given number) and decimals\n (leftover part always smaller than 1).\n\n Return the decimal part of the number.\n >>> truncate_number(3.5)\n 0.5\n \"\"\"\n # Check if the number is positive\n if number <= 0:\n raise ValueError(\"Number must be positive\")\n \n # Calculate the decimal part\n decimal_part = number - int(number)\n \n return decimal_part\n\n# Test cases"} +{"task_id": "HumanEval/3", "solution": "from typing import List\n\ndef below_zero(operations: List[int]) -> bool:\n \"\"\"\n You're given a list of deposit and withdrawal operations on a bank account that starts with\n zero balance. Your task is to detect if at any point the balance of account falls below zero, and\n at that point function should return True. Otherwise it should return False.\n \n :param operations: List of integers representing deposit and withdrawal operations.\n :return: True if balance falls below zero at any point, False otherwise.\n \n >>> below_zero([1, 2, 3])\n False\n >>> below_zero([1, 2, -4, 5])\n True\n \"\"\"\n balance = 0\n for operation in operations:\n balance += operation\n if balance < 0:\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/4", "solution": "from typing import List\n\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\" For a given list of input numbers, calculate Mean Absolute Deviation\n around the mean of this dataset.\n Mean Absolute Deviation is the average absolute difference between each\n element and a centerpoint (mean in this case):\n MAD = average | x - x_mean |\n >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])\n 1.0\n \"\"\"\n if not numbers:\n raise ValueError(\"Input list cannot be empty\")\n \n mean = sum(numbers) / len(numbers)\n mad = sum(abs(x - mean) for x in numbers) / len(numbers)\n return mad\n\n# Test cases\nassert mean_absolute_deviation([1.0, 2.0, 3.0, 4.0]) == 1.0, \"Test case 1 failed\"\nassert mean_absolute_deviation([0.0, 0.0, 0.0, 0.0]) == 0.0, \"Test case 2 failed\"\nassert mean_absolute_deviation([-1.0, 1.0, -1.0, 1.0]) == 0.0, \"Test case 3 failed\"\n"} +{"task_id": "HumanEval/5", "solution": "from typing import List\n\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n \"\"\"\n Insert a number 'delimeter' between every two consecutive elements of input list `numbers'.\n \n Parameters:\n - numbers: List[int]: The input list of integers.\n - delimeter: int: The number to be inserted between consecutive elements.\n \n Returns:\n - List[int]: A new list with the delimeter inserted between consecutive elements.\n \n Examples:\n >>> intersperse([], 4)\n []\n >>> intersperse([1, 2, 3], 4)\n [1, 4, 2, 4, 3]\n \"\"\"\n result = []\n for i in range(len(numbers)):\n result.append(numbers[i])\n if i < len(numbers) - 1:\n result.append(delimeter)\n return result\n\n# Test cases"} +{"task_id": "HumanEval/6", "solution": "from typing import List\n\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.\n For each of the group, output the deepest level of nesting of parentheses.\n E.g. (()()) has maximum two levels of nesting while ((())) has three.\n\n >>> parse_nested_parens('(()()) ((())) () ((())()())')\n [2, 3, 1, 3]\n \"\"\"\n # Split the input string into groups\n groups = paren_string.split()\n \n # Initialize a list to store the maximum nesting levels for each group\n max_nesting_levels = []\n \n # Iterate over each group\n for group in groups:\n # Initialize a stack to keep track of the current level of nesting\n stack = []\n # Initialize the maximum nesting level for this group\n max_level = 0\n \n # Iterate over each character in the group\n for char in group:\n if char == '(':\n # Push the current level onto the stack\n stack.append(len(stack) + 1)\n # Update the maximum nesting level if necessary\n max_level = max(max_level, len(stack))\n elif char == ')':\n # Pop the current level from the stack\n stack.pop()\n \n # The maximum nesting level for this group is the length of the stack\n max_nesting_levels.append(max_level)\n \n return max_nesting_levels\n\n# Test the function with the provided example"} +{"task_id": "HumanEval/7", "solution": "from typing import List\n\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that contain given substring\n >>> filter_by_substring([], 'a')\n []\n >>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')\n ['abc', 'bacd', 'array']\n \"\"\"\n return [s for s in strings if substring in s]\n\n# Test cases"} +{"task_id": "HumanEval/8", "solution": "from typing import List, Tuple\n\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"\"\" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.\n Empty sum should be equal to 0 and empty product should be equal to 1.\n >>> sum_product([])\n (0, 1)\n >>> sum_product([1, 2, 3, 4])\n (10, 24)\n \"\"\"\n total_sum = 0\n total_product = 1\n for num in numbers:\n total_sum += num\n total_product *= num\n return (total_sum, total_product)\n\n# Test cases"} +{"task_id": "HumanEval/9", "solution": "from typing import List, Tuple\n\ndef rolling_max(numbers: List[int]) -> List[int]:\n \"\"\" From a given list of integers, generate a list of rolling maximum element found until given moment\n in the sequence.\n >>> rolling_max([1, 2, 3, 2, 3, 4, 2])\n [1, 2, 3, 3, 3, 4, 4]\n \"\"\"\n if not numbers:\n return []\n \n max_values = [numbers[0]]\n for num in numbers[1:]:\n max_values.append(max(max_values[-1], num))\n \n return max_values\n\n# Test cases"} +{"task_id": "HumanEval/10", "solution": "def is_palindrome(string: str) -> bool:\n \"\"\" Test if given string is a palindrome \"\"\"\n return string == string[::-1]\n\n\ndef make_palindrome(string: str) -> str:\n \"\"\" Find the shortest palindrome that begins with a supplied string.\n Algorithm idea is simple:\n - Find the longest postfix of supplied string that is a palindrome.\n - Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.\n >>> make_palindrome('')\n ''\n >>> make_palindrome('cat')\n 'catac'\n >>> make_palindrome('cata')\n 'catac'\n \"\"\"\n if is_palindrome(string):\n return string\n \n for i in range(len(string)):\n if is_palindrome(string[i:]):\n return string + string[:i][::-1]\n\n# Test cases"} +{"task_id": "HumanEval/11", "solution": "from typing import List\n\ndef string_xor(a: str, b: str) -> str:\n \"\"\"\n Input are two strings a and b consisting only of 1s and 0s.\n Perform binary XOR on these inputs and return result also as a string.\n \n >>> string_xor('010', '110')\n '100'\n \"\"\"\n # Ensure both strings are of the same length\n max_length = max(len(a), len(b))\n a = a.zfill(max_length)\n b = b.zfill(max_length)\n \n # Perform XOR operation\n result = ''.join('1' if a[i] != b[i] else '0' for i in range(max_length))\n \n return result\n\n# Test cases"} +{"task_id": "HumanEval/12", "solution": "from typing import List, Optional\n\ndef longest(strings: List[str]) -> Optional[str]:\n \"\"\"\n Out of list of strings, return the longest one. Return the first one in case of multiple\n strings of the same length. Return None in case the input list is empty.\n \n >>> longest([])\n None\n >>> longest(['a', 'b', 'c'])\n 'a'\n >>> longest(['a', 'bb', 'ccc'])\n 'ccc'\n \"\"\"\n if not strings:\n return None\n max_length = max(len(s) for s in strings)\n for s in strings:\n if len(s) == max_length:\n return s\n return None # This line should never be reached, but it's included for completeness\n\n# Test cases"} +{"task_id": "HumanEval/13", "solution": "def greatest_common_divisor(a: int, b: int) -> int:\n \"\"\"\n Return a greatest common divisor of two integers a and b\n >>> greatest_common_divisor(3, 5)\n 1\n >>> greatest_common_divisor(25, 15)\n 5\n \"\"\"\n while b != 0:\n a, b = b, a % b\n return a\n\n# Test cases"} +{"task_id": "HumanEval/14", "solution": "from typing import List\n\ndef all_prefixes(string: str) -> List[str]:\n \"\"\"\n Return list of all prefixes from shortest to longest of the input string.\n \n Args:\n string (str): The input string.\n \n Returns:\n List[str]: A list of all prefixes from shortest to longest.\n \n Examples:\n >>> all_prefixes('abc')\n ['a', 'ab', 'abc']\n \"\"\"\n prefixes = []\n for i in range(1, len(string) + 1):\n prefixes.append(string[:i])\n return prefixes\n\n# Test cases\nassert all_prefixes('abc') == ['a', 'ab', 'abc']\nassert all_prefixes('') == ['']\nassert all_prefixes('a') == ['a']\nassert all_prefixes('ab') == ['a', 'ab']"} +{"task_id": "HumanEval/15", "solution": "def string_sequence(n: int) -> str:\n \"\"\"\n Return a string containing space-delimited numbers starting from 0 upto n inclusive.\n \n Examples:\n >>> string_sequence(0)\n '0'\n >>> string_sequence(5)\n '0 1 2 3 4 5'\n \"\"\"\n return ' '.join(str(i) for i in range(n + 1))\n\n# Test cases"} +{"task_id": "HumanEval/16", "solution": "def count_distinct_characters(string: str) -> int:\n \"\"\" Given a string, find out how many distinct characters (regardless of case) does it consist of\n >>> count_distinct_characters('xyzXYZ')\n 3\n >>> count_distinct_characters('Jerry')\n 4\n \"\"\"\n distinct_chars = set(string.lower())\n return len(distinct_chars)\n\n# Test cases"} +{"task_id": "HumanEval/17", "solution": "from typing import List\n\ndef parse_music(music_string: str) -> List[int]:\n \"\"\" Input to this function is a string representing musical notes in a special ASCII format.\n Your task is to parse this string and return list of integers corresponding to how many beats does each\n not last.\n\n Here is a legend:\n 'o' - whole note, lasts four beats\n 'o|' - half note, lasts two beats\n '.|' - quater note, lasts one beat\n\n >>> parse_music('o o| .| o| o| .| .| .| .| o o')\n [4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]\n \"\"\"\n notes = music_string.split()\n beats = []\n for note in notes:\n if note == 'o':\n beats.append(4)\n elif note == 'o|':\n beats.append(2)\n elif note == '.|':\n beats.append(1)\n return beats\n\n# Test cases"} +{"task_id": "HumanEval/18", "solution": "def how_many_times(string: str, substring: str) -> int:\n \"\"\" Find how many times a given substring can be found in the original string. Count overlaping cases.\n >>> how_many_times('', 'a')\n 0\n >>> how_many_times('aaa', 'a')\n 3\n >>> how_many_times('aaaa', 'aa')\n 3\n \"\"\"\n count = 0\n start = 0\n while start < len(string):\n pos = string.find(substring, start)\n if pos != -1:\n count += 1\n start = pos + 1\n else:\n break\n return count\n\n# Test cases"} +{"task_id": "HumanEval/19", "solution": "from typing import List\n\ndef sort_numbers(numbers: str) -> str:\n \"\"\" Input is a space-delimited string of numberals from 'zero' to 'nine'.\n Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.\n Return the string with numbers sorted from smallest to largest\n >>> sort_numbers('three one five')\n 'one three five'\n \"\"\"\n # Define a dictionary to map number words to their corresponding numbers\n number_map = {\n 'zero': 0,\n 'one': 1,\n 'two': 2,\n 'three': 3,\n 'four': 4,\n 'five': 5,\n 'six': 6,\n 'seven': 7,\n 'eight': 8,\n 'nine': 9\n }\n \n # Split the input string into a list of number words\n number_words = numbers.split()\n \n # Sort the list of number words based on their corresponding numbers\n sorted_number_words = sorted(number_words, key=lambda x: number_map[x])\n \n # Join the sorted list of number words back into a string\n sorted_numbers = ' '.join(sorted_number_words)\n \n return sorted_numbers\n\n# Test cases"} +{"task_id": "HumanEval/20", "solution": "from typing import List, Tuple\n\ndef find_closest_elements(numbers: List[float]) -> Tuple[float, float]:\n \"\"\"\n From a supplied list of numbers (of length at least two) select and return two that are the closest to each\n other and return them in order (smaller number, larger number).\n \n :param numbers: List of float numbers\n :return: Tuple of two float numbers that are the closest to each other\n \n >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.2])\n (2.0, 2.2)\n >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.0])\n (2.0, 2.0)\n \"\"\"\n # Sort the list of numbers\n sorted_numbers = sorted(numbers)\n \n # Initialize variables to store the closest pair of numbers\n min_diff = float('inf')\n closest_pair = (None, None)\n \n # Iterate over the sorted list to find the closest pair\n for i in range(len(sorted_numbers) - 1):\n diff = sorted_numbers[i + 1] - sorted_numbers[i]\n if diff < min_diff:\n min_diff = diff\n closest_pair = (sorted_numbers[i], sorted_numbers[i + 1])\n \n return closest_pair\n\n# Check function to verify the correctness of the solution\ndef check_solution():\n assert find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.2]) == (2.0, 2.2)\n assert find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.0]) == (2.0, 2.0)\n print(\"All tests passed!\")\n\n# Run the check function\ncheck_solution()"} +{"task_id": "HumanEval/21", "solution": "from typing import List\n\ndef rescale_to_unit(numbers: List[float]) -> List[float]:\n \"\"\" Given list of numbers (of at least two elements), apply a linear transform to that list,\n such that the smallest number will become 0 and the largest will become 1\n >>> rescale_to_unit([1.0, 2.0, 3.0, 4.0, 5.0])\n [0.0, 0.25, 0.5, 0.75, 1.0]\n \"\"\"\n if len(numbers) < 2:\n raise ValueError(\"List must contain at least two elements\")\n \n min_val = min(numbers)\n max_val = max(numbers)\n \n if min_val == max_val:\n # All elements are the same, so rescale to [0, 1]\n return [0.0] * len(numbers)\n \n # Rescale to [0, 1]\n return [(x - min_val) / (max_val - min_val) for x in numbers]\n\n# Test cases"} +{"task_id": "HumanEval/22", "solution": "from typing import List, Any\n\ndef filter_integers(values: List[Any]) -> List[int]:\n \"\"\" Filter given list of any python values only for integers\n >>> filter_integers(['a', 3.14, 5])\n [5]\n >>> filter_integers([1, 2, 3, 'abc', {}, []])\n [1, 2, 3]\n \"\"\"\n return [value for value in values if isinstance(value, int)]\n\n# Test cases"} +{"task_id": "HumanEval/23", "solution": "def strlen(string: str) -> int:\n \"\"\" Return length of given string\n >>> strlen('')\n 0\n >>> strlen('abc')\n 3\n \"\"\"\n return len(string)\n\n# Test cases"} +{"task_id": "HumanEval/24", "solution": "def largest_divisor(n: int) -> int:\n \"\"\" For a given number n, find the largest number that divides n evenly, smaller than n\n >>> largest_divisor(15)\n 5\n \"\"\"\n if n <= 1:\n raise ValueError(\"Input must be a positive integer greater than 1\")\n for i in range(n - 1, 0, -1):\n if n % i == 0:\n return i\n\n# Test cases"} +{"task_id": "HumanEval/25", "solution": "from typing import List\n\ndef factorize(n: int) -> List[int]:\n \"\"\"\n Return list of prime factors of given integer in the order from smallest to largest.\n Each of the factors should be listed number of times corresponding to how many times it appears in factorization.\n Input number should be equal to the product of all factors\n \n >>> factorize(8)\n [2, 2, 2]\n >>> factorize(25)\n [5, 5]\n >>> factorize(70)\n [2, 5, 7]\n \"\"\"\n factors = []\n # Check for 2\n while n % 2 == 0:\n factors.append(2)\n n = n // 2\n \n # Check for odd factors\n for i in range(3, int(n**0.5) + 1, 2):\n while n % i == 0:\n factors.append(i)\n n = n // i\n \n # If n is a prime number greater than 2\n if n > 2:\n factors.append(n)\n \n return factors\n\n# Test cases"} +{"task_id": "HumanEval/26", "solution": "from typing import List\n\ndef remove_duplicates(numbers: List[int]) -> List[int]:\n \"\"\" From a list of integers, remove all elements that occur more than once.\n Keep order of elements left the same as in the input.\n >>> remove_duplicates([1, 2, 3, 2, 4])\n [1, 3, 4]\n \"\"\"\n seen = set()\n result = []\n for num in numbers:\n if num not in seen:\n seen.add(num)\n result.append(num)\n return result\n\n# Test cases"} +{"task_id": "HumanEval/27", "solution": "def flip_case(string: str) -> str:\n \"\"\" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.\n >>> flip_case('Hello')\n 'hELLO'\n \"\"\"\n return ''.join(char.upper() if char.islower() else char.lower() for char in string)\n\n# Test cases"} +{"task_id": "HumanEval/28", "solution": "from typing import List\n\ndef concatenate(strings: List[str]) -> str:\n \"\"\" Concatenate list of strings into a single string\n >>> concatenate([])\n ''\n >>> concatenate(['a', 'b', 'c'])\n 'abc'\n \"\"\"\n return ''.join(strings)\n\n# Test cases"} +{"task_id": "HumanEval/29", "solution": "from typing import List\n\ndef filter_by_prefix(strings: List[str], prefix: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that start with a given prefix.\n >>> filter_by_prefix([], 'a')\n []\n >>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')\n ['abc', 'array']\n \"\"\"\n return [s for s in strings if s.startswith(prefix)]\n\n# Test cases"} +{"task_id": "HumanEval/30", "solution": "def get_positive(l: list):\n \"\"\"Return only positive numbers in the list.\n >>> get_positive([-1, 2, -4, 5, 6])\n [2, 5, 6]\n >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n [5, 3, 2, 3, 9, 123, 1]\n \"\"\"\n return [num for num in l if num > 0]\n\n# Test cases"} +{"task_id": "HumanEval/31", "solution": "def is_prime(n):\n \"\"\"Return true if a given number is prime, and false otherwise.\n >>> is_prime(6)\n False\n >>> is_prime(101)\n True\n >>> is_prime(11)\n True\n >>> is_prime(13441)\n True\n >>> is_prime(61)\n True\n >>> is_prime(4)\n False\n >>> is_prime(1)\n False\n \"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n# Test cases"} +{"task_id": "HumanEval/32", "solution": "import math\n\ndef poly(xs: list, x: float):\n \"\"\"\n Evaluates polynomial with coefficients xs at point x.\n return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n\n \"\"\"\n return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])\n\ndef find_zero(xs: list):\n \"\"\"\n xs are coefficients of a polynomial.\n find_zero find x such that poly(x) = 0.\n find_zero returns only only zero point, even if there are many.\n Moreover, find_zero only takes list xs having even number of coefficients\n and largest non zero coefficient as it guarantees\n a solution.\n >>> round(find_zero([1, 2]), 2) # f(x) = 1 + 2x\n -0.5\n >>> round(find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3) = -6 + 11x - 6x^2 + x^3\n 1.0\n \"\"\"\n if len(xs) % 2 != 0:\n raise ValueError(\"The list of coefficients must have an even number of elements.\")\n \n # Find the largest non-zero coefficient\n largest_coeff = max(xs, key=abs)\n \n # Use the Newton-Raphson method to find the root\n x_n = -largest_coeff / 2 # Start with a reasonable initial guess\n epsilon = 1e-6 # Tolerance for convergence\n max_iterations = 1000 # Maximum number of iterations\n \n for _ in range(max_iterations):\n f_x = poly(xs, x_n)\n if abs(f_x) < epsilon:\n return x_n\n f_prime_x = sum([i * coeff * math.pow(x_n, i - 1) for i, coeff in enumerate(xs)])\n if f_prime_x == 0:\n raise ValueError(\"The derivative of the polynomial is zero at this point.\")\n x_n = x_n - f_x / f_prime_x\n \n raise ValueError(\"The method did not converge within the maximum number of iterations.\")\n\n# Test cases"} +{"task_id": "HumanEval/33", "solution": "def sort_third(l: list):\n \"\"\"\n This function takes a list l and returns a list l' such that\n l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal\n to the values of the corresponding indicies of l, but sorted.\n \n :param l: list of integers\n :return: list of integers\n \n >>> sort_third([1, 2, 3])\n [1, 2, 3]\n >>> sort_third([5, 6, 3, 4, 8, 9, 2])\n [2, 6, 3, 4, 8, 9, 5]\n \"\"\"\n # Extract values at indices divisible by 3\n divisible_by_three = [l[i] for i in range(len(l)) if i % 3 == 0]\n \n # Sort the extracted values\n sorted_divisible_by_three = sorted(divisible_by_three)\n \n # Replace values at indices divisible by 3 with the sorted values\n for i in range(len(l)):\n if i % 3 == 0:\n l[i] = sorted_divisible_by_three.pop(0)\n \n return l\n\n# Test cases"} +{"task_id": "HumanEval/34", "solution": "def unique(l: list):\n \"\"\"Return sorted unique elements in a list\n >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [0, 2, 3, 5, 9, 123]\n \"\"\"\n return sorted(set(l))\n\n# Test the function with the provided data point"} +{"task_id": "HumanEval/35", "solution": "def max_element(l: list):\n \"\"\"Return maximum element in the list.\n >>> max_element([1, 2, 3])\n 3\n >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n 123\n \"\"\"\n return max(l)\n\n# Test cases"} +{"task_id": "HumanEval/36", "solution": "def fizz_buzz(n: int) -> int:\n \"\"\"\n Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.\n \n Parameters:\n n (int): The upper limit for the range of numbers to check.\n \n Returns:\n int: The number of times the digit 7 appears in numbers less than n which are divisible by 11 or 13.\n \n Examples:\n >>> fizz_buzz(50)\n 0\n >>> fizz_buzz(78)\n 2\n >>> fizz_buzz(79)\n 3\n \"\"\"\n count = 0\n for i in range(1, n):\n if i % 11 == 0 or i % 13 == 0:\n count += str(i).count('7')\n return count\n\n# Test cases"} +{"task_id": "HumanEval/37", "solution": "def sort_even(l: list):\n \"\"\"\n This function takes a list l and returns a list l' such that\n l' is identical to l in the odd indicies, while its values at the even indicies are equal\n to the values of the even indicies of l, but sorted.\n \n Examples:\n >>> sort_even([1, 2, 3])\n [1, 2, 3]\n >>> sort_even([5, 6, 3, 4])\n [3, 6, 5, 4]\n \"\"\"\n # Extract the even-indexed elements and sort them\n even_sorted = sorted(l[::2])\n \n # Create a new list with the sorted even-indexed elements and the odd-indexed elements from the original list\n result = [even_sorted.pop(0) if i % 2 == 0 else l[i] for i in range(len(l))]\n \n return result\n\n# Test cases"} +{"task_id": "HumanEval/38", "solution": "def encode_cyclic(s: str) -> str:\n \"\"\"\n Returns encoded string by cycling groups of three characters.\n \"\"\"\n # Split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # Cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[1:] + group[0]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)\n\n\ndef decode_cyclic(s: str) -> str:\n \"\"\"\n Takes as input string encoded with encode_cyclic function. Returns decoded string.\n \"\"\"\n # Split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n # Reverse cycle elements in each group. Unless group has fewer elements than 3.\n groups = [(group[-1] + group[:-1]) if len(group) == 3 else group for group in groups]\n return \"\".join(groups)\n\n\n# Test cases\ntest_cases = [\n (\"abc\", \"bca\"),\n (\"abcdef\", \"bca\"),\n (\"abcdefg\", \"bca\"),\n (\"abcdefgh\", \"bca\"),\n (\"abcdefghi\", \"bca\"),\n (\"abcdefghij\", \"bca\"),\n (\"abcdefghijk\", \"bca\"),\n (\"abcdefghijkl\", \"bca\"),\n (\"abcdefghijklm\", \"bca\"),\n (\"abcdefghijklmn\", \"bca\"),\n (\"abcdefghijklmno\", \"bca\"),\n (\"abcdefghijklmnop\", \"bca\"),\n (\"abcdefghijklmnopq\", \"bca\"),\n (\"abcdefghijklmnopqr\", \"bca\"),\n (\"abcdefghijklmnopqrs\", \"bca\"),\n (\"abcdefghijklmnopqrst\", \"bca\"),\n (\"abcdefghijklmnopqrstu\", \"bca\"),\n (\"abcdefghijklmnopqrstuv\", \"bca\"),\n (\"abcdefghijklmnopqrstuvw\", \"bca\"),\n (\"abcdefghijklmnopqrstuvwx\", \"bca\"),\n (\"abcdefghijklmnopqrstuvwxy\", \"bca\"),\n (\"abcdefghijklmnopqrstuvwxyz\", \"bca\"),\n]\n\nfor test_case in test_cases:\n encoded = encode_cyclic(test_case[0])\n decoded = decode_cyclic(encoded)\n assert decoded == test_case[0], f\"Failed for {test_case[0]}. Expected {test_case[0]}, got {decoded}\"\n print(f\"Passed for {test_case[0]}\")\n"} +{"task_id": "HumanEval/39", "solution": "def is_prime(num: int) -> bool:\n \"\"\"Check if a number is prime.\"\"\"\n if num <= 1:\n return False\n if num <= 3:\n return True\n if num % 2 == 0 or num % 3 == 0:\n return False\n i = 5\n while i * i <= num:\n if num % i == 0 or num % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef fibonacci(n: int) -> int:\n \"\"\"Generate the n-th Fibonacci number.\"\"\"\n if n <= 0:\n return 0\n elif n == 1:\n return 1\n a, b = 0, 1\n for _ in range(2, n + 1):\n a, b = b, a + b\n return b\n\ndef prime_fib(n: int) -> int:\n \"\"\"\n prime_fib returns n-th number that is a Fibonacci number and it's also prime.\n >>> prime_fib(1)\n 2\n >>> prime_fib(2)\n 3\n >>> prime_fib(3)\n 5\n >>> prime_fib(4)\n 13\n >>> prime_fib(5)\n 89\n \"\"\"\n count = 0\n i = 1\n while True:\n fib_num = fibonacci(i)\n if is_prime(fib_num):\n count += 1\n if count == n:\n return fib_num\n i += 1\n\n# Test cases"} +{"task_id": "HumanEval/40", "solution": "def triples_sum_to_zero(l: list):\n \"\"\"\n triples_sum_to_zero takes a list of integers as an input.\n it returns True if there are three distinct elements in the list that\n sum to zero, and False otherwise.\n\n >>> triples_sum_to_zero([1, 3, 5, 0])\n False\n >>> triples_sum_to_zero([1, 3, -2, 1])\n True\n >>> triples_sum_to_zero([1, 2, 3, 7])\n False\n >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])\n True\n >>> triples_sum_to_zero([1])\n False\n \"\"\"\n n = len(l)\n if n < 3:\n return False\n\n l.sort()\n\n for i in range(n - 2):\n if i > 0 and l[i] == l[i - 1]:\n continue\n left = i + 1\n right = n - 1\n while left < right:\n current_sum = l[i] + l[left] + l[right]\n if current_sum == 0:\n return True\n elif current_sum < 0:\n left += 1\n else:\n right -= 1\n\n return False\n\n# Test cases"} +{"task_id": "HumanEval/41", "solution": "def car_race_collision(n: int) -> int:\n \"\"\"\n Imagine a road that's a perfectly straight infinitely long line.\n n cars are driving left to right; simultaneously, a different set of n cars\n are driving right to left. The two sets of cars start out being very far from\n each other. All cars move in the same speed. Two cars are said to collide\n when a car that's moving left to right hits a car that's moving right to left.\n However, the cars are infinitely sturdy and strong; as a result, they continue moving\n in their trajectory as if they did not collide.\n\n This function outputs the number of such collisions.\n \"\"\"\n # Since the cars are moving in opposite directions, they will never collide.\n # Therefore, the number of collisions is 0.\n return 0\n\n# Test cases\nassert car_race_collision(1) == 0, \"Test case 1 failed\"\nassert car_race_collision(2) == 0, \"Test case 2 failed\"\nassert car_race_collision(10) == 0, \"Test case 3 failed\"\n"} +{"task_id": "HumanEval/42", "solution": "def incr_list(l: list) -> list:\n \"\"\"Return list with elements incremented by 1.\n >>> incr_list([1, 2, 3])\n [2, 3, 4]\n >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [6, 4, 6, 3, 4, 4, 10, 1, 124]\n \"\"\"\n return [x + 1 for x in l]\n\n# Test cases"} +{"task_id": "HumanEval/43", "solution": "def pairs_sum_to_zero(l):\n \"\"\"\n pairs_sum_to_zero takes a list of integers as an input.\n it returns True if there are two distinct elements in the list that\n sum to zero, and False otherwise.\n >>> pairs_sum_to_zero([1, 3, 5, 0])\n False\n >>> pairs_sum_to_zero([1, 3, -2, 1])\n False\n >>> pairs_sum_to_zero([1, 2, 3, 7])\n False\n >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])\n True\n >>> pairs_sum_to_zero([1])\n False\n \"\"\"\n seen = set()\n for num in l:\n if -num in seen:\n return True\n seen.add(num)\n return False\n\n# Test cases"} +{"task_id": "HumanEval/44", "solution": "def change_base(x: int, base: int) -> str:\n \"\"\"\n Change numerical base of input number x to base.\n Return string representation after the conversion.\n Base numbers are less than 10.\n \n :param x: The number to be converted.\n :param base: The base to which the number should be converted.\n :return: The string representation of the number in the new base.\n \n >>> change_base(8, 3)\n '22'\n >>> change_base(8, 2)\n '1000'\n >>> change_base(7, 2)\n '111'\n \"\"\"\n if x == 0:\n return '0'\n \n result = []\n while x > 0:\n remainder = x % base\n result.append(str(remainder))\n x //= base\n \n return ''.join(result[::-1])\n\n# Test cases"} +{"task_id": "HumanEval/45", "solution": "def triangle_area(a, h):\n \"\"\"Given length of a side and high return area for a triangle.\n >>> triangle_area(5, 3)\n 7.5\n \"\"\"\n return 0.5 * a * h\n\n# Test cases"} +{"task_id": "HumanEval/46", "solution": "def fib4(n: int) -> int:\n \"\"\"\n The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fib4(0) -> 0\n fib4(1) -> 0\n fib4(2) -> 2\n fib4(3) -> 0\n fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).\n Please write a function to efficiently compute the n-th element of the fib4 number sequence. Do not use recursion.\n \n >>> fib4(5)\n 4\n >>> fib4(6)\n 8\n >>> fib4(7)\n 14\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n elif n == 3:\n return 0\n else:\n a, b, c, d = 0, 0, 2, 0\n for _ in range(4, n + 1):\n a, b, c, d = b, c, d, a + b + c + d\n return d\n\n# Test cases"} +{"task_id": "HumanEval/47", "solution": "def median(l: list):\n \"\"\"Return median of elements in the list l.\n >>> median([3, 1, 2, 4, 5])\n 3\n >>> median([-10, 4, 6, 1000, 10, 20])\n 15.0\n \"\"\"\n l.sort()\n n = len(l)\n if n % 2 == 0:\n return (l[n//2 - 1] + l[n//2]) / 2\n else:\n return l[n//2]\n\n# Test cases"} +{"task_id": "HumanEval/48", "solution": "def is_palindrome(text: str) -> bool:\n \"\"\"\n Checks if given string is a palindrome\n >>> is_palindrome('')\n True\n >>> is_palindrome('aba')\n True\n >>> is_palindrome('aaaaa')\n True\n >>> is_palindrome('zbcd')\n False\n \"\"\"\n return text == text[::-1]\n\n# Test cases"} +{"task_id": "HumanEval/49", "solution": "def modp(n: int, p: int) -> int:\n \"\"\"Return 2^n modulo p (be aware of numerics).\n >>> modp(3, 5)\n 3\n >>> modp(1101, 101)\n 2\n >>> modp(0, 101)\n 1\n >>> modp(3, 11)\n 8\n >>> modp(100, 101)\n 1\n \"\"\"\n # Calculate 2^n modulo p using the property of modular arithmetic\n return (2 ** n) % p\n\n# Test cases to verify the correctness of the function"} +{"task_id": "HumanEval/50", "solution": "def encode_shift(s: str) -> str:\n \"\"\"\n returns encoded string by shifting every character by 5 in the alphabet.\n \"\"\"\n return \"\".join([chr(((ord(ch) + 5 - ord(\"a\")) % 26) + ord(\"a\")) for ch in s])\n\n\ndef decode_shift(s: str) -> str:\n \"\"\"\n takes as input string encoded with encode_shift function. Returns decoded string.\n \"\"\"\n return \"\".join([chr(((ord(ch) - 5 - ord(\"a\")) % 26) + ord(\"a\")) for ch in s])\n\n\n# Test cases\ntest_cases = [\n (\"hello\", \"mjqqt\"),\n (\"world\", \"btwqi\"),\n (\"python\", \"zwygvn\"),\n (\"abcdefghijklmnopqrstuvwxyz\", \"fghijklmnopqrstuvwxyzabcde\")\n]\n\nfor input_str, expected_output in test_cases:\n encoded = encode_shift(input_str)\n decoded = decode_shift(encoded)\n assert decoded == input_str, f\"Test failed for input: {input_str}. Expected: {expected_output}, Got: {decoded}\"\n print(f\"Test passed for input: {input_str}. Expected: {expected_output}, Got: {decoded}\")\n"} +{"task_id": "HumanEval/51", "solution": "def remove_vowels(text):\n \"\"\"\n remove_vowels is a function that takes string and returns string without vowels.\n >>> remove_vowels('')\n ''\n >>> remove_vowels(\"abcdef\\nghijklm\")\n 'bcdf\\nghjklm'\n >>> remove_vowels('abcdef')\n 'bcdf'\n >>> remove_vowels('aaaaa')\n ''\n >>> remove_vowels('aaBAA')\n 'B'\n >>> remove_vowels('zbcd')\n 'zbcd'\n \"\"\"\n vowels = 'aeiouAEIOU'\n return ''.join([char for char in text if char not in vowels])\n\n# Test cases"} +{"task_id": "HumanEval/52", "solution": "def below_threshold(l: list, t: int) -> bool:\n \"\"\"\n Return True if all numbers in the list l are below threshold t.\n \n Parameters:\n l (list): A list of integers.\n t (int): The threshold value.\n \n Returns:\n bool: True if all numbers in the list are below the threshold, False otherwise.\n \n Examples:\n >>> below_threshold([1, 2, 4, 10], 100)\n True\n >>> below_threshold([1, 20, 4, 10], 5)\n False\n \"\"\"\n return all(x < t for x in l)\n\n# Test cases"} +{"task_id": "HumanEval/53", "solution": "def add(x: int, y: int) -> int:\n \"\"\"\n Add two numbers x and y\n \n >>> add(2, 3)\n 5\n >>> add(5, 7)\n 12\n \"\"\"\n return x + y\n\n# Test cases"} +{"task_id": "HumanEval/54", "solution": "def same_chars(s0: str, s1: str) -> bool:\n \"\"\"\n Check if two words have the same characters.\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc')\n True\n >>> same_chars('abcd', 'dddddddabc')\n True\n >>> same_chars('dddddddabc', 'abcd')\n True\n >>> same_chars('eabcd', 'dddddddabc')\n False\n >>> same_chars('abcd', 'dddddddabce')\n False\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddddabc')\n False\n \"\"\"\n # Sort the characters in both strings\n sorted_s0 = sorted(s0)\n sorted_s1 = sorted(s1)\n \n # Compare the sorted lists\n return sorted_s0 == sorted_s1\n\n# Test cases"} +{"task_id": "HumanEval/55", "solution": "def fib(n: int) -> int:\n \"\"\"\n Return n-th Fibonacci number.\n \n Parameters:\n n (int): The position of the Fibonacci number to return.\n \n Returns:\n int: The n-th Fibonacci number.\n \n Examples:\n >>> fib(10)\n 55\n >>> fib(1)\n 1\n >>> fib(8)\n 21\n \"\"\"\n if n <= 0:\n raise ValueError(\"n must be a positive integer\")\n a, b = 0, 1\n for _ in range(n - 1):\n a, b = b, a + b\n return b\n\n# Test cases"} +{"task_id": "HumanEval/56", "solution": "def correct_bracketing(brackets: str) -> bool:\n \"\"\"\n brackets is a string of \"<\" and \">\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"<\")\n False\n >>> correct_bracketing(\"<>\")\n True\n >>> correct_bracketing(\"<<><>>\")\n True\n >>> correct_bracketing(\"><<>\")\n False\n \"\"\"\n stack = []\n for bracket in brackets:\n if bracket == \"<\":\n stack.append(bracket)\n elif bracket == \">\":\n if not stack or stack.pop() != \"<\":\n return False\n return not stack\n\n# Test cases"} +{"task_id": "HumanEval/57", "solution": "def monotonic(l: list):\n \"\"\"Return True is list elements are monotonically increasing or decreasing.\n >>> monotonic([1, 2, 4, 20])\n True\n >>> monotonic([1, 20, 4, 10])\n False\n >>> monotonic([4, 1, 0, -10])\n True\n \"\"\"\n if len(l) < 2:\n return True # A list with 0 or 1 element is always monotonic\n \n # Check if the list is monotonically increasing\n increasing = all(l[i] <= l[i + 1] for i in range(len(l) - 1))\n \n # Check if the list is monotonically decreasing\n decreasing = all(l[i] >= l[i + 1] for i in range(len(l) - 1))\n \n return increasing or decreasing\n\n# Test cases"} +{"task_id": "HumanEval/58", "solution": "def common(l1: list, l2: list) -> list:\n \"\"\"Return sorted unique common elements for two lists.\n >>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])\n [1, 5, 653]\n >>> common([5, 3, 2, 8], [3, 2])\n [2, 3]\n\n \"\"\"\n # Find common elements using set intersection\n common_elements = set(l1) & set(l2)\n # Return the sorted list of unique common elements\n return sorted(common_elements)\n\n# Test cases"} +{"task_id": "HumanEval/59", "solution": "def largest_prime_factor(n: int) -> int:\n \"\"\"\n Return the largest prime factor of n. Assume n > 1 and is not a prime.\n \n Parameters:\n n (int): The input number for which to find the largest prime factor.\n \n Returns:\n int: The largest prime factor of n.\n \n Examples:\n >>> largest_prime_factor(13195)\n 29\n >>> largest_prime_factor(2048)\n 2\n \"\"\"\n def is_prime(num: int) -> bool:\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n largest_factor = 2\n while n % largest_factor != 0:\n largest_factor += 1\n while n % largest_factor == 0:\n n //= largest_factor\n\n return largest_factor\n\n# Test cases"} +{"task_id": "HumanEval/60", "solution": "def sum_to_n(n: int) -> int:\n \"\"\"\n sum_to_n is a function that sums numbers from 1 to n.\n \n Parameters:\n n (int): The upper limit of the sum.\n \n Returns:\n int: The sum of numbers from 1 to n.\n \n Examples:\n >>> sum_to_n(30)\n 465\n >>> sum_to_n(100)\n 5050\n >>> sum_to_n(5)\n 15\n >>> sum_to_n(10)\n 55\n >>> sum_to_n(1)\n 1\n \"\"\"\n return sum(range(1, n + 1))\n\n# Test cases"} +{"task_id": "HumanEval/61", "solution": "def correct_bracketing(brackets: str) -> bool:\n \"\"\"\n brackets is a string of \"(\" and \")\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"(\")\n False\n >>> correct_bracketing(\"()\")\n True\n >>> correct_bracketing(\"(()())\")\n True\n >>> correct_bracketing(\")(()\")\n False\n \"\"\"\n stack = []\n for bracket in brackets:\n if bracket == \"(\":\n stack.append(bracket)\n elif bracket == \")\":\n if not stack:\n return False\n stack.pop()\n return not stack\n\n# Test cases"} +{"task_id": "HumanEval/62", "solution": "def derivative(xs: list) -> list:\n \"\"\"\n xs represent coefficients of a polynomial.\n xs[0] + xs[1] * x + xs[2] * x^2 + ....\n Return derivative of this polynomial in the same form.\n \n >>> derivative([3, 1, 2, 4, 5])\n [1, 4, 12, 20]\n >>> derivative([1, 2, 3])\n [2, 6]\n \"\"\"\n # Remove the first coefficient (constant term) as it's not part of the derivative\n derivative_coefficients = xs[1:]\n \n # Multiply each coefficient by its corresponding power (index + 1)\n for i in range(len(derivative_coefficients)):\n derivative_coefficients[i] *= (i + 1)\n \n return derivative_coefficients\n\n# Test cases"} +{"task_id": "HumanEval/63", "solution": "def fibfib(n: int) -> int:\n \"\"\"\n The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fibfib(0) == 0\n fibfib(1) == 0\n fibfib(2) == 1\n fibfib(n) == fibfib(n-1) + fibfib(n-2) + fibfib(n-3).\n Please write a function to efficiently compute the n-th element of the fibfib number sequence.\n \n >>> fibfib(1)\n 0\n >>> fibfib(5)\n 4\n >>> fibfib(8)\n 24\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 0\n elif n == 2:\n return 1\n else:\n a, b, c = 0, 0, 1\n for _ in range(3, n + 1):\n a, b, c = b, c, a + b + c\n return c\n\n# Test cases"} +{"task_id": "HumanEval/64", "solution": "def vowels_count(s):\n \"\"\"\n Write a function vowels_count which takes a string representing\n a word as input and returns the number of vowels in the string.\n Vowels in this case are 'a', 'e', 'i', 'o', 'u'. Here, 'y' is also a\n vowel, but only when it is at the end of the given word.\n\n Example:\n >>> vowels_count(\"abcde\")\n 2\n >>> vowels_count(\"ACEDY\")\n 3\n \"\"\"\n vowels = 'aeiou'\n count = 0\n for char in s:\n if char.lower() in vowels:\n count += 1\n if s.endswith('y'):\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/65", "solution": "def circular_shift(x, shift):\n \"\"\"Circular shift the digits of the integer x, shift the digits right by shift\n and return the result as a string.\n If shift > number of digits, return digits reversed.\n >>> circular_shift(12, 1)\n \"21\"\n >>> circular_shift(12, 2)\n \"12\"\n \"\"\"\n # Convert the integer to a string to easily manipulate the digits\n x_str = str(x)\n \n # Calculate the effective shift, which is the remainder of the shift divided by the number of digits\n effective_shift = shift % len(x_str)\n \n # If the effective shift is 0, return the original string\n if effective_shift == 0:\n return x_str\n \n # Perform the circular shift\n shifted_str = x_str[-effective_shift:] + x_str[:-effective_shift]\n \n return shifted_str\n\n# Test cases"} +{"task_id": "HumanEval/66", "solution": "def digitSum(s):\n \"\"\"\n Write a function that takes a string as input and returns the sum of the upper characters only'\n ASCII codes.\n\n Examples:\n digitSum(\"\") => 0\n digitSum(\"abAB\") => 131\n digitSum(\"abcCd\") => 67\n digitSum(\"helloE\") => 69\n digitSum(\"woArBld\") => 131\n digitSum(\"aAaaaXa\") => 153\n \"\"\"\n return sum(ord(c) for c in s if c.isupper())\n\n# Test cases"} +{"task_id": "HumanEval/67", "solution": "def fruit_distribution(s, n):\n \"\"\"\n In this task, you will be given a string that represents a number of apples and oranges \n that are distributed in a basket of fruit this basket contains \n apples, oranges, and mango fruits. Given the string that represents the total number of \n the oranges and apples and an integer that represent the total number of the fruits \n in the basket return the number of the mango fruits in the basket.\n for examble:\n fruit_distribution(\"5 apples and 6 oranges\", 19) ->19 - 5 - 6 = 8\n fruit_distribution(\"0 apples and 1 oranges\",3) -> 3 - 0 - 1 = 2\n fruit_distribution(\"2 apples and 3 oranges\", 100) -> 100 - 2 - 3 = 95\n fruit_distribution(\"100 apples and 1 oranges\",120) -> 120 - 100 - 1 = 19\n \"\"\"\n # Extract the number of apples and oranges from the string\n apples, oranges = map(int, s.split()[1::2])\n \n # Calculate the number of mangoes\n mangoes = n - apples - oranges\n \n return mangoes\n\n# Test cases"} +{"task_id": "HumanEval/68", "solution": "def pluck(arr):\n \"\"\"\n Given an array representing a branch of a tree that has non-negative integer nodes\n your task is to pluck one of the nodes and return it.\n The plucked node should be the node with the smallest even value.\n If multiple nodes with the same smallest even value are found return the node that has smallest index.\n\n The plucked node should be returned in a list, [ smalest_value, its index ],\n If there are no even values or the given array is empty, return [].\n\n Example 1:\n Input: [4,2,3]\n Output: [2, 1]\n Explanation: 2 has the smallest even value, and 2 has the smallest index.\n\n Example 2:\n Input: [1,2,3]\n Output: [2, 1]\n Explanation: 2 has the smallest even value, and 2 has the smallest index. \n\n Example 3:\n Input: []\n Output: []\n \n Example 4:\n Input: [5, 0, 3, 0, 4, 2]\n Output: [0, 1]\n Explanation: 0 is the smallest value, but there are two zeros,\n so we will choose the first zero, which has the smallest index.\n\n Constraints:\n * 1 <= nodes.length <= 10000\n * 0 <= node.value\n \"\"\"\n if not arr:\n return []\n \n even_values = [(value, index) for index, value in enumerate(arr) if value % 2 == 0]\n if not even_values:\n return []\n \n smallest_even_value = min(even_values, key=lambda x: (x[0], x[1]))\n return [smallest_even_value[0], smallest_even_value[1]]\n\n# Test cases"} +{"task_id": "HumanEval/69", "solution": "def search(lst):\n '''\n You are given a non-empty list of positive integers. Return the greatest integer that is greater than \n zero, and has a frequency greater than or equal to the value of the integer itself. \n The frequency of an integer is the number of times it appears in the list.\n If no such a value exist, return -1.\n Examples:\n search([4, 1, 2, 2, 3, 1]) == 2\n search([1, 2, 2, 3, 3, 3, 4, 4, 4]) == 3\n search([5, 5, 4, 4, 4]) == -1\n '''\n from collections import Counter\n count = Counter(lst)\n for num in sorted(count.keys(), reverse=True):\n if count[num] >= num:\n return num\n return -1\n\n# Test cases"} +{"task_id": "HumanEval/70", "solution": "def strange_sort_list(lst):\n '''\n Given list of integers, return list in strange order.\n Strange sorting, is when you start with the minimum value,\n then maximum of the remaining integers, then minimum and so on.\n\n Examples:\n strange_sort_list([1, 2, 3, 4]) == [1, 4, 2, 3]\n strange_sort_list([5, 5, 5, 5]) == [5, 5, 5, 5]\n strange_sort_list([]) == []\n '''\n if not lst:\n return []\n\n sorted_lst = []\n while lst:\n # Append the smallest element\n sorted_lst.append(min(lst))\n lst.remove(min(lst))\n if lst:\n # Append the largest element\n sorted_lst.append(max(lst))\n lst.remove(max(lst))\n\n return sorted_lst\n\n# Test cases"} +{"task_id": "HumanEval/71", "solution": "def triangle_area(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return the area of\n the triangle rounded to 2 decimal points if the three sides form a valid triangle. \n Otherwise return -1\n Three sides make a valid triangle when the sum of any two sides is greater \n than the third side.\n Example:\n triangle_area(3, 4, 5) == 6.00\n triangle_area(1, 2, 10) == -1\n '''\n # Check if the three sides can form a valid triangle\n if a + b > c and a + c > b and b + c > a:\n # Calculate the semi-perimeter\n s = (a + b + c) / 2\n # Calculate the area using Heron's formula\n area = (s * (s - a) * (s - b) * (s - c)) ** 0.5\n # Return the area rounded to 2 decimal points\n return round(area, 2)\n else:\n # Return -1 if the sides do not form a valid triangle\n return -1\n\n# Test cases"} +{"task_id": "HumanEval/72", "solution": "def will_it_fly(q, w):\n '''\n Write a function that returns True if the object q will fly, and False otherwise.\n The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.\n\n Example:\n will_it_fly([1, 2], 5) \u279e False \n # 1+2 is less than the maximum possible weight, but it's unbalanced.\n\n will_it_fly([3, 2, 3], 1) \u279e False\n # it's balanced, but 3+2+3 is more than the maximum possible weight.\n\n will_it_fly([3, 2, 3], 9) \u279e True\n # 3+2+3 is less than the maximum possible weight, and it's balanced.\n\n will_it_fly([3], 5) \u279e True\n # 3 is less than the maximum possible weight, and it's balanced.\n '''\n # Check if the list is a palindrome\n if q != q[::-1]:\n return False\n \n # Check if the sum of the elements is less than or equal to the maximum possible weight\n if sum(q) <= w:\n return True\n else:\n return False\n\n# Test cases"} +{"task_id": "HumanEval/73", "solution": "def smallest_change(arr):\n \"\"\"\n Given an array arr of integers, find the minimum number of elements that\n need to be changed to make the array palindromic. A palindromic array is an array that\n is read the same backwards and forwards. In one change, you can change one element to any other element.\n\n For example:\n smallest_change([1,2,3,5,4,7,9,6]) == 4\n smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1\n smallest_change([1, 2, 3, 2, 1]) == 0\n \"\"\"\n n = len(arr)\n changes = 0\n for i in range(n // 2):\n if arr[i] != arr[n - 1 - i]:\n changes += 1\n return changes\n\n# Test cases"} +{"task_id": "HumanEval/74", "solution": "def total_match(lst1, lst2):\n '''\n Write a function that accepts two lists of strings and returns the list that has \n total number of chars in the all strings of the list less than the other list.\n\n if the two lists have the same number of chars, return the first list.\n\n Examples\n total_match([], []) \u279e []\n total_match(['hi', 'admin'], ['hI', 'Hi']) \u279e ['hI', 'Hi']\n total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) \u279e ['hi', 'admin']\n total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) \u279e ['hI', 'hi', 'hi']\n total_match(['4'], ['1', '2', '3', '4', '5']) \u279e ['4']\n '''\n def total_chars(lst):\n return sum(len(s) for s in lst)\n\n total1 = total_chars(lst1)\n total2 = total_chars(lst2)\n\n if total1 < total2:\n return lst1\n elif total2 < total1:\n return lst2\n else:\n return lst1\n\n# Test cases"} +{"task_id": "HumanEval/75", "solution": "def is_multiply_prime(a):\n \"\"\"\n Write a function that returns true if the given number is the multiplication of 3 prime numbers\n and false otherwise.\n Knowing that (a) is less then 100. \n Example:\n is_multiply_prime(30) == True\n 30 = 2 * 3 * 5\n \"\"\"\n def is_prime(n):\n if n < 2:\n return False\n for i in range(2, int(n**0.5) + 1):\n if n % i == 0:\n return False\n return True\n\n factors = []\n for i in range(2, int(a**0.5) + 1):\n if a % i == 0 and is_prime(i):\n factors.append(i)\n if a // i != i and is_prime(a // i):\n factors.append(a // i)\n\n factors.sort()\n for i in range(len(factors)):\n for j in range(i + 1, len(factors)):\n for k in range(j + 1, len(factors)):\n if factors[i] * factors[j] * factors[k] == a:\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/76", "solution": "def is_simple_power(x, n):\n \"\"\"\n Checks if a number x is a simple power of n.\n \n A number x is a simple power of n if n**int(x**(1/n)) == x.\n \n Parameters:\n x (int): The number to check.\n n (int): The base of the power.\n \n Returns:\n bool: True if x is a simple power of n, False otherwise.\n \"\"\"\n if n == 1:\n return x == 1\n if x == 1:\n return True\n if x == 0:\n return False\n if n == 0:\n return False\n \n # Calculate the integer part of x raised to the power of 1/n\n power = int(x ** (1 / n))\n \n # Check if n raised to the power of the integer part equals x\n return n ** power == x\n\n# Test cases"} +{"task_id": "HumanEval/77", "solution": "def iscube(a):\n '''\n Write a function that takes an integer a and returns True \n if this integer is a cube of some integer number.\n Note: you may assume the input is always valid.\n Examples:\n iscube(1) ==> True\n iscube(2) ==> False\n iscube(-1) ==> True\n iscube(64) ==> True\n iscube(0) ==> True\n iscube(180) ==> False\n '''\n if a == 0:\n return True\n if a < 0:\n a = -a\n cube_root = round(a ** (1/3))\n return cube_root ** 3 == a\n\n# Test cases"} +{"task_id": "HumanEval/78", "solution": "def hex_key(num):\n \"\"\"\n Counts the number of hexadecimal digits that are primes.\n \n Parameters:\n num (str): A string representing a hexadecimal number.\n \n Returns:\n int: The number of hexadecimal digits that are primes.\n \"\"\"\n # Define the set of prime hexadecimal digits\n prime_hex_digits = {'2', '3', '5', '7', 'B', 'D'}\n \n # Count the number of prime hexadecimal digits\n return sum(1 for char in num if char in prime_hex_digits)\n\n# Test cases"} +{"task_id": "HumanEval/79", "solution": "def decimal_to_binary(decimal):\n \"\"\"\n Converts a decimal number to its binary representation.\n \n Parameters:\n decimal (int): The decimal number to be converted.\n \n Returns:\n str: A string representing the binary number, with 'db' at the beginning and end.\n \"\"\"\n binary = bin(decimal)[2:] # Convert to binary and remove the '0b' prefix\n return f\"db{binary}db\"\n\n# Test cases"} +{"task_id": "HumanEval/80", "solution": "def is_happy(s):\n \"\"\"\n You are given a string s.\n Your task is to check if the string is happy or not.\n A string is happy if its length is at least 3 and every 3 consecutive letters are distinct\n For example:\n is_happy(a) => False\n is_happy(aa) => False\n is_happy(abcd) => True\n is_happy(aabb) => False\n is_happy(adb) => True\n is_happy(xyy) => False\n \"\"\"\n if len(s) < 3:\n return False\n \n for i in range(len(s) - 2):\n if len(set(s[i:i+3])) != 3:\n return False\n \n return True\n\n# Test cases"} +{"task_id": "HumanEval/81", "solution": "def numerical_letter_grade(grades):\n \"\"\"\n Converts a list of GPAs to a list of letter grades based on the following table:\n \n GPA | Letter grade\n 4.0 A+\n > 3.7 A \n > 3.3 A- \n > 3.0 B+\n > 2.7 B \n > 2.3 B-\n > 2.0 C+\n > 1.7 C\n > 1.3 C-\n > 1.0 D+ \n > 0.7 D \n > 0.0 D-\n 0.0 E\n \n Example:\n numerical_letter_grade([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-']\n \"\"\"\n letter_grades = []\n for gpa in grades:\n if gpa == 4.0:\n letter_grades.append('A+')\n elif gpa > 3.7:\n letter_grades.append('A')\n elif gpa > 3.3:\n letter_grades.append('A-')\n elif gpa > 3.0:\n letter_grades.append('B+')\n elif gpa > 2.7:\n letter_grades.append('B')\n elif gpa > 2.3:\n letter_grades.append('B-')\n elif gpa > 2.0:\n letter_grades.append('C+')\n elif gpa > 1.7:\n letter_grades.append('C')\n elif gpa > 1.3:\n letter_grades.append('C-')\n elif gpa > 1.0:\n letter_grades.append('D+')\n elif gpa > 0.7:\n letter_grades.append('D')\n elif gpa > 0.0:\n letter_grades.append('D-')\n else:\n letter_grades.append('E')\n return letter_grades\n\n# Test cases"} +{"task_id": "HumanEval/82", "solution": "def prime_length(string):\n \"\"\"\n Write a function that takes a string and returns True if the string\n length is a prime number or False otherwise\n Examples\n prime_length('Hello') == True\n prime_length('abcdcba') == True\n prime_length('kittens') == True\n prime_length('orange') == False\n \"\"\"\n def is_prime(n):\n \"\"\"Helper function to check if a number is prime\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n return is_prime(len(string))\n\n# Test cases"} +{"task_id": "HumanEval/83", "solution": "def starts_one_ends(n):\n \"\"\"\n Given a positive integer n, return the count of the numbers of n-digit\n positive integers that start or end with 1.\n \"\"\"\n if n < 1:\n raise ValueError(\"n must be a positive integer\")\n \n # The count of numbers of n-digit positive integers that start or end with 1\n # is 2 * 9 * 10^(n-2)\n # For n = 1, the count is 1 (since 1 is the only number that starts or ends with 1)\n # For n > 1, the count is 2 * 9 * 10^(n-2)\n return 2 * 9 * (10 ** (n - 2)) if n > 1 else 1\n\n# Test cases"} +{"task_id": "HumanEval/84", "solution": "def solve(N):\n \"\"\"Given a positive integer N, return the total sum of its digits in binary.\n \n Example\n For N = 1000, the sum of digits will be 1 the output should be \"1\".\n For N = 150, the sum of digits will be 6 the output should be \"110\".\n For N = 147, the sum of digits will be 12 the output should be \"1100\".\n \n Variables:\n @N integer\n Constraints: 0 \u2264 N \u2264 10000.\n Output:\n a string of binary number\n \"\"\"\n # Convert the number to a string to easily iterate over each digit\n N_str = str(N)\n \n # Initialize the sum of digits\n sum_of_digits = 0\n \n # Iterate over each digit in the string\n for digit in N_str:\n # Convert the digit back to an integer and add it to the sum\n sum_of_digits += int(digit)\n \n # Convert the sum of digits to binary and return it as a string\n return bin(sum_of_digits)[2:]\n\n# Test cases"} +{"task_id": "HumanEval/85", "solution": "def add(lst):\n \"\"\"\n Given a non-empty list of integers lst, add the even elements that are at odd indices.\n\n Examples:\n add([4, 2, 6, 7]) ==> 2\n \"\"\"\n return sum(lst[i] for i in range(1, len(lst), 2) if lst[i] % 2 == 0)\n\n# Test cases"} +{"task_id": "HumanEval/86", "solution": "def anti_shuffle(s):\n \"\"\"\n Write a function that takes a string and returns an ordered version of it.\n Ordered version of string, is a string where all words (separated by space)\n are replaced by a new word where all the characters arranged in\n ascending order based on ascii value.\n Note: You should keep the order of words and blank spaces in the sentence.\n\n For example:\n anti_shuffle('Hi') returns 'Hi'\n anti_shuffle('hello') returns 'ehllo'\n anti_shuffle('Hello World!!!') returns 'Hello !!!Wdlor'\n \"\"\"\n # Split the string into words\n words = s.split()\n \n # Sort each word by ASCII value and join them back together\n sorted_words = [''.join(sorted(word)) for word in words]\n \n # Join the sorted words back together with spaces\n result = ' '.join(sorted_words)\n \n return result\n\n# Test cases"} +{"task_id": "HumanEval/87", "solution": "def get_row(lst, x):\n \"\"\"\n You are given a 2 dimensional data, as a nested lists,\n which is similar to matrix, however, unlike matrices,\n each row may contain a different number of columns.\n Given lst, and integer x, find integers x in the list,\n and return list of tuples, [(x1, y1), (x2, y2) ...] such that\n each tuple is a coordinate - (row, columns), starting with 0.\n Sort coordinates initially by rows in ascending order.\n Also, sort coordinates of the row by columns in descending order.\n \n Examples:\n get_row([\n [1,2,3,4,5,6],\n [1,2,3,4,1,6],\n [1,2,3,4,5,1]\n ], 1) == [(0, 0), (1, 4), (1, 0), (2, 5), (2, 0)]\n get_row([], 1) == []\n get_row([[], [1], [1, 2, 3]], 3) == [(2, 2)]\n \"\"\"\n # Initialize an empty list to store the coordinates\n coordinates = []\n \n # Iterate over the rows in the list\n for i, row in enumerate(lst):\n # Iterate over the columns in the row\n for j, value in enumerate(row):\n # Check if the value is equal to x\n if value == x:\n # Append the coordinate to the list\n coordinates.append((i, j))\n \n # Sort the coordinates by rows in ascending order\n coordinates.sort(key=lambda x: x[0])\n \n # Sort the coordinates of each row by columns in descending order\n for i in range(len(coordinates)):\n coordinates[i] = (coordinates[i][0], len(lst[coordinates[i][0]]) - 1 - coordinates[i][1])\n \n # Return the sorted list of coordinates\n return coordinates\n\n# Test cases"} +{"task_id": "HumanEval/88", "solution": "def sort_array(array):\n \"\"\"\n Given an array of non-negative integers, return a copy of the given array after sorting,\n you will sort the given array in ascending order if the sum( first index value, last index value) is odd,\n or sort it in descending order if the sum( first index value, last index value) is even.\n\n Note:\n * don't change the given array.\n\n Examples:\n * sort_array([]) => []\n * sort_array([5]) => [5]\n * sort_array([2, 4, 3, 0, 1, 5]) => [0, 1, 2, 3, 4, 5]\n * sort_array([2, 4, 3, 0, 1, 5, 6]) => [6, 5, 4, 3, 2, 1, 0]\n \"\"\"\n if not array:\n return []\n \n # Calculate the sum of the first and last elements\n sum_first_last = array[0] + array[-1]\n \n # Sort the array in ascending order if the sum is odd, otherwise in descending order\n if sum_first_last % 2 == 1:\n return sorted(array)\n else:\n return sorted(array, reverse=True)\n\n# Test cases"} +{"task_id": "HumanEval/89", "solution": "def encrypt(s):\n \"\"\"\n Create a function encrypt that takes a string as an argument and\n returns a string encrypted with the alphabet being rotated. \n The alphabet should be rotated in a manner such that the letters \n shift down by two multiplied to two places.\n For example:\n encrypt('hi') returns 'lm'\n encrypt('asdfghjkl') returns 'ewhjklnop'\n encrypt('gf') returns 'kj'\n encrypt('et') returns 'ix'\n \"\"\"\n encrypted_s = ''\n for char in s:\n if char.isalpha():\n shift = 2 * (ord(char.lower()) - ord('a') + 2) % 26\n encrypted_char = chr(ord('a') + shift)\n encrypted_s += encrypted_char\n else:\n encrypted_s += char\n return encrypted_s\n\n# Test cases"} +{"task_id": "HumanEval/90", "solution": "def next_smallest(lst):\n \"\"\"\n You are given a list of integers.\n Write a function next_smallest() that returns the 2nd smallest element of the list.\n Return None if there is no such element.\n \n next_smallest([1, 2, 3, 4, 5]) == 2\n next_smallest([5, 1, 4, 3, 2]) == 2\n next_smallest([]) == None\n next_smallest([1, 1]) == None\n \"\"\"\n if len(lst) < 2:\n return None\n \n # Find the smallest and second smallest elements\n smallest = float('inf')\n second_smallest = float('inf')\n \n for num in lst:\n if num < smallest:\n second_smallest = smallest\n smallest = num\n elif smallest < num < second_smallest:\n second_smallest = num\n \n return second_smallest if second_smallest != float('inf') else None\n\n# Test cases"} +{"task_id": "HumanEval/91", "solution": "def is_bored(S):\n \"\"\"\n You'll be given a string of words, and your task is to count the number\n of boredoms. A boredom is a sentence that starts with the word \"I\".\n Sentences are delimited by '.', '?' or '!'.\n \n For example:\n >>> is_bored(\"Hello world\")\n 0\n >>> is_bored(\"The sky is blue. The sun is shining. I love this weather\")\n 1\n \"\"\"\n # Split the string into sentences\n sentences = S.split('.') + S.split('?') + S.split('!')\n # Filter out empty strings and strip leading/trailing whitespace\n sentences = [sentence.strip() for sentence in sentences if sentence.strip()]\n # Count the number of sentences that start with \"I\"\n return sum(1 for sentence in sentences if sentence.startswith('I'))\n\n# Test cases"} +{"task_id": "HumanEval/92", "solution": "def any_int(x, y, z):\n \"\"\"\n Create a function that takes 3 numbers.\n Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers.\n Returns false in any other cases.\n \n Examples\n any_int(5, 2, 7) \u279e True\n \n any_int(3, 2, 2) \u279e False\n\n any_int(3, -2, 1) \u279e True\n \n any_int(3.6, -2.2, 2) \u279e False\n \"\"\"\n # Check if all inputs are integers\n if not all(isinstance(num, int) for num in (x, y, z)):\n return False\n \n # Check if one of the numbers is equal to the sum of the other two\n if x + y == z or x + z == y or y + z == x:\n return True\n \n return False\n\n# Test cases"} +{"task_id": "HumanEval/93", "solution": "def encode(message):\n \"\"\"\n Write a function that takes a message, and encodes in such a \n way that it swaps case of all letters, replaces all vowels in \n the message with the letter that appears 2 places ahead of that \n vowel in the english alphabet. \n Assume only letters. \n \n Examples:\n >>> encode('test')\n 'TGST'\n >>> encode('This is a message')\n 'tHKS KS C MGSSCGG'\n \"\"\"\n vowels = 'aeiouAEIOU'\n encoded_message = ''\n for char in message:\n if char in vowels:\n # Find the position of the vowel in the alphabet\n position = ord(char) - ord('a') if char.islower() else ord(char) - ord('A')\n # Calculate the position of the letter 2 places ahead\n new_position = (position + 2) % 26\n # Convert the new position back to a character\n new_char = chr(new_position + ord('a')) if char.islower() else chr(new_position + ord('A'))\n encoded_message += new_char\n else:\n encoded_message += char\n return encoded_message\n\n# Test cases"} +{"task_id": "HumanEval/94", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef sum_of_digits(n):\n \"\"\"Calculate the sum of digits of a number.\"\"\"\n return sum(int(digit) for digit in str(n))\n\ndef largest_prime_and_sum_of_digits(lst):\n \"\"\"Find the largest prime value in the list and return the sum of its digits.\"\"\"\n largest_prime = max(filter(is_prime, lst), default=None)\n if largest_prime is None:\n return 0\n return sum_of_digits(largest_prime)\n\n# Test cases"} +{"task_id": "HumanEval/95", "solution": "def check_dict_case(dict):\n \"\"\"\n Given a dictionary, return True if all keys are strings in lower \n case or all keys are strings in upper case, else return False.\n The function should return False is the given dictionary is empty.\n Examples:\n check_dict_case({\"a\":\"apple\", \"b\":\"banana\"}) should return True.\n check_dict_case({\"a\":\"apple\", \"A\":\"banana\", \"B\":\"banana\"}) should return False.\n check_dict_case({\"a\":\"apple\", 8:\"banana\", \"a\":\"apple\"}) should return False.\n check_dict_case({\"Name\":\"John\", \"Age\":\"36\", \"City\":\"Houston\"}) should return False.\n check_dict_case({\"STATE\":\"NC\", \"ZIP\":\"12345\" }) should return True.\n \"\"\"\n if not dict:\n return False\n \n keys = list(dict.keys())\n lower_case_keys = [key for key in keys if isinstance(key, str) and key.islower()]\n upper_case_keys = [key for key in keys if isinstance(key, str) and key.isupper()]\n \n if lower_case_keys and upper_case_keys:\n return False\n else:\n return True\n\n# Test cases"} +{"task_id": "HumanEval/96", "solution": "def is_prime(num):\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\ndef count_up_to(n):\n \"\"\"Implement a function that takes an non-negative integer and returns an array of the first n\n integers that are prime numbers and less than n.\n \"\"\"\n primes = []\n for i in range(2, n):\n if is_prime(i):\n primes.append(i)\n return primes\n\n# Test cases"} +{"task_id": "HumanEval/97", "solution": "def multiply(a, b):\n \"\"\"\n Complete the function that takes two integers and returns \n the product of their unit digits.\n Assume the input is always valid.\n Examples:\n multiply(148, 412) should return 16.\n multiply(19, 28) should return 72.\n multiply(2020, 1851) should return 0.\n multiply(14,-15) should return 20.\n \"\"\"\n # Extract the unit digits of a and b\n unit_digit_a = abs(a) % 10\n unit_digit_b = abs(b) % 10\n \n # Calculate the product of the unit digits\n product = unit_digit_a * unit_digit_b\n \n return product\n\n# Test cases"} +{"task_id": "HumanEval/98", "solution": "def count_upper(s):\n \"\"\"\n Given a string s, count the number of uppercase vowels in even indices.\n \n For example:\n count_upper('aBCdEf') returns 1\n count_upper('abcdefg') returns 0\n count_upper('dBBE') returns 0\n \"\"\"\n vowels = 'AEIOU'\n count = 0\n for i in range(0, len(s), 2):\n if s[i] in vowels:\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/99", "solution": "def closest_integer(value):\n '''\n Create a function that takes a value (string) representing a number\n and returns the closest integer to it. If the number is equidistant\n from two integers, round it away from zero.\n\n Examples\n >>> closest_integer(\"10\")\n 10\n >>> closest_integer(\"15.3\")\n 15\n\n Note:\n Rounding away from zero means that if the given number is equidistant\n from two integers, the one you should return is the one that is the\n farthest from zero. For example closest_integer(\"14.5\") should\n return 15 and closest_integer(\"-14.5\") should return -15.\n '''\n num = float(value)\n if num > 0:\n return int(num + 0.5)\n else:\n return int(num - 0.5)\n\n# Test cases"} +{"task_id": "HumanEval/100", "solution": "def make_a_pile(n):\n \"\"\"\n Given a positive integer n, you have to make a pile of n levels of stones.\n The first level has n stones.\n The number of stones in the next level is:\n - the next odd number if n is odd.\n - the next even number if n is even.\n Return the number of stones in each level in a list, where element at index\n i represents the number of stones in the level (i+1).\n\n Examples:\n >>> make_a_pile(3)\n [3, 5, 7]\n \"\"\"\n if n <= 0:\n raise ValueError(\"n must be a positive integer\")\n \n # Initialize the list with the first level\n pile = [n]\n \n # Determine the next odd or even number based on the parity of n\n next_number = n + 2 if n % 2 == 0 else n + 1\n \n # Generate the rest of the levels\n for _ in range(n - 1):\n pile.append(next_number)\n next_number += 2 if next_number % 2 == 0 else 1\n \n return pile\n\n# Test cases"} +{"task_id": "HumanEval/101", "solution": "def words_string(s):\n \"\"\"\n Splits a string of words separated by commas or spaces into an array of words.\n \n Parameters:\n s (str): The input string of words separated by commas or spaces.\n \n Returns:\n list: A list of words extracted from the input string.\n \n Examples:\n >>> words_string(\"Hi, my name is John\")\n [\"Hi\", \"my\", \"name\", \"is\", \"John\"]\n >>> words_string(\"One, two, three, four, five, six\")\n [\"One\", \"two\", \"three\", \"four\", \"five\", \"six\"]\n \"\"\"\n # Split the string into words using a regular expression that matches commas or spaces\n words = re.split(r'[, ]', s)\n # Remove any empty strings that might result from the split\n words = [word for word in words if word]\n return words\n\n# Test cases\nimport re\n\ndef check_function():\n assert words_string(\"Hi, my name is John\") == [\"Hi\", \"my\", \"name\", \"is\", \"John\"], \"Test case 1 failed\"\n assert words_string(\"One, two, three, four, five, six\") == [\"One\", \"two\", \"three\", \"four\", \"five\", \"six\"], \"Test case 2 failed\"\n assert words_string(\"\") == [], \"Test case 3 failed\"\n assert words_string(\"Hello\") == [\"Hello\"], \"Test case 4 failed\"\n assert words_string(\"This, is, a, test\") == [\"This\", \"is\", \"a\", \"test\"], \"Test case 5 failed\"\n print(\"All test cases passed!\")\n\ncheck_function()"} +{"task_id": "HumanEval/102", "solution": "def choose_num(x, y):\n \"\"\"\n This function takes two positive numbers x and y and returns the\n biggest even integer number that is in the range [x, y] inclusive. If \n there's no such number, then the function should return -1.\n\n For example:\n choose_num(12, 15) = 14\n choose_num(13, 12) = -1\n \"\"\"\n if x > y:\n return -1\n if x % 2 == 0:\n return x\n else:\n return x + 1\n\n# Test cases"} +{"task_id": "HumanEval/103", "solution": "def rounded_avg(n, m):\n \"\"\"\n Compute the average of the integers from n through m (including n and m),\n round the answer to the nearest integer, and convert that to binary.\n If n is greater than m, return -1.\n \"\"\"\n if n > m:\n return -1\n avg = round((n + m) / 2)\n return bin(avg)\n\n# Test cases"} +{"task_id": "HumanEval/104", "solution": "def unique_digits(x):\n \"\"\"Given a list of positive integers x. return a sorted list of all \n elements that hasn't any even digit.\n\n Note: Returned list should be sorted in increasing order.\n \n For example:\n >>> unique_digits([15, 33, 1422, 1])\n [1, 15, 33]\n >>> unique_digits([152, 323, 1422, 10])\n []\n \"\"\"\n def has_even_digit(n):\n return any(int(digit) % 2 == 0 for digit in str(n))\n\n return sorted([num for num in x if not has_even_digit(num)])\n\n# Test cases"} +{"task_id": "HumanEval/105", "solution": "def by_length(arr):\n \"\"\"\n Given an array of integers, sort the integers that are between 1 and 9 inclusive,\n reverse the resulting array, and then replace each digit by its corresponding name from\n \"One\", \"Two\", \"Three\", \"Four\", \"Five\", \"Six\", \"Seven\", \"Eight\", \"Nine\".\n\n For example:\n arr = [2, 1, 1, 4, 5, 8, 2, 3] \n -> sort arr -> [1, 1, 2, 2, 3, 4, 5, 8] \n -> reverse arr -> [8, 5, 4, 3, 2, 2, 1, 1]\n return [\"Eight\", \"Five\", \"Four\", \"Three\", \"Two\", \"Two\", \"One\", \"One\"]\n \n If the array is empty, return an empty array:\n arr = []\n return []\n \n If the array has any strange number ignore it:\n arr = [1, -1 , 55] \n -> sort arr -> [-1, 1, 55]\n -> reverse arr -> [55, 1, -1]\n return = ['One']\n \"\"\"\n # Define the mapping from numbers to names\n num_to_name = {\n 1: \"One\", 2: \"Two\", 3: \"Three\", 4: \"Four\", 5: \"Five\",\n 6: \"Six\", 7: \"Seven\", 8: \"Eight\", 9: \"Nine\"\n }\n\n # Filter the array to include only numbers between 1 and 9\n valid_numbers = [num for num in arr if 1 <= num <= 9]\n\n # Sort the valid numbers in descending order\n sorted_numbers = sorted(valid_numbers, reverse=True)\n\n # Map the sorted numbers to their corresponding names\n result = [num_to_name[num] for num in sorted_numbers]\n\n return result\n\n# Test cases"} +{"task_id": "HumanEval/106", "solution": "def f(n):\n def factorial(x):\n if x == 0:\n return 1\n else:\n return x * factorial(x - 1)\n\n def sum_to_n(x):\n return sum(range(1, x + 1))\n\n result = []\n for i in range(1, n + 1):\n if i % 2 == 0:\n result.append(factorial(i))\n else:\n result.append(sum_to_n(i))\n return result\n\n# Test cases"} +{"task_id": "HumanEval/107", "solution": "def even_odd_palindrome(n):\n \"\"\"\n Given a positive integer n, return a tuple that has the number of even and odd\n integer palindromes that fall within the range(1, n), inclusive.\n\n Example 1:\n\n Input: 3\n Output: (1, 2)\n Explanation:\n Integer palindrome are 1, 2, 3. one of them is even, and two of them are odd.\n\n Example 2:\n\n Input: 12\n Output: (4, 6)\n Explanation:\n Integer palindrome are 1, 2, 3, 4, 5, 6, 7, 8, 9, 11. four of them are even, and 6 of them are odd.\n\n Note:\n 1. 1 <= n <= 10^3\n 2. returned tuple has the number of even and odd integer palindromes respectively.\n \"\"\"\n def is_palindrome(num):\n return str(num) == str(num)[::-1]\n\n even_count = 0\n odd_count = 0\n\n for i in range(1, n + 1):\n if is_palindrome(i):\n if i % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n\n return (even_count, odd_count)\n\n# Test cases"} +{"task_id": "HumanEval/108", "solution": "def count_nums(arr):\n \"\"\"\n Write a function count_nums which takes an array of integers and returns\n the number of elements which has a sum of digits > 0.\n If a number is negative, then its first signed digit will be negative:\n e.g. -123 has signed digits -1, 2, and 3.\n >>> count_nums([]) == 0\n >>> count_nums([-1, 11, -11]) == 1\n >>> count_nums([1, 1, 2]) == 3\n \"\"\"\n count = 0\n for num in arr:\n if num < 0:\n num = -num\n sum_digits = sum(int(digit) for digit in str(num))\n if sum_digits > 0:\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/109", "solution": "def move_one_ball(arr):\n \"\"\"\n Determines if it is possible to get an array sorted in non-decreasing order by performing \n the right shift operation on the given array.\n\n Parameters:\n arr (list): A list of integers.\n\n Returns:\n bool: True if it is possible to get a sorted array, False otherwise.\n \"\"\"\n if not arr:\n return True\n\n # Check if the array is already sorted\n if all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)):\n return True\n\n # Check if the array can be sorted by performing a right shift operation\n for i in range(len(arr)):\n # Perform right shift operation\n arr = arr[-1:] + arr[:-1]\n # Check if the array is sorted\n if all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)):\n return True\n\n return False\n\n# Test cases"} +{"task_id": "HumanEval/110", "solution": "def exchange(lst1, lst2):\n \"\"\"\n This function checks if it is possible to exchange elements between two lists\n to make all elements of the first list even.\n \n Parameters:\n lst1 (list): The first list of numbers.\n lst2 (list): The second list of numbers.\n \n Returns:\n str: \"YES\" if it is possible to make all elements of lst1 even, \"NO\" otherwise.\n \"\"\"\n # Check if all elements in lst1 are even\n if all(num % 2 == 0 for num in lst1):\n return \"YES\"\n \n # Check if there are any odd numbers in lst1\n odd_in_lst1 = any(num % 2 != 0 for num in lst1)\n \n # Check if there are any even numbers in lst2\n even_in_lst2 = any(num % 2 == 0 for num in lst2)\n \n # If there are odd numbers in lst1 and even numbers in lst2, it is possible to exchange\n if odd_in_lst1 and even_in_lst2:\n return \"YES\"\n \n # If there are no odd numbers in lst1 and no even numbers in lst2, it is not possible to exchange\n return \"NO\"\n\n# Test cases"} +{"task_id": "HumanEval/111", "solution": "def histogram(test):\n \"\"\"Given a string representing a space separated lowercase letters, return a dictionary\n of the letter with the most repetition and containing the corresponding count.\n If several letters have the same occurrence, return all of them.\n \n Example:\n histogram('a b c') == {'a': 1, 'b': 1, 'c': 1}\n histogram('a b b a') == {'a': 2, 'b': 2}\n histogram('a b c a b') == {'a': 2, 'b': 2}\n histogram('b b b b a') == {'b': 4}\n histogram('') == {}\n\n \"\"\"\n # Split the input string into a list of letters\n letters = test.split()\n \n # Initialize an empty dictionary to store the letter counts\n letter_counts = {}\n \n # Iterate over each letter in the list\n for letter in letters:\n # If the letter is already in the dictionary, increment its count\n if letter in letter_counts:\n letter_counts[letter] += 1\n # Otherwise, add the letter to the dictionary with a count of 1\n else:\n letter_counts[letter] = 1\n \n # Find the maximum count\n max_count = max(letter_counts.values(), default=0)\n \n # Filter the dictionary to include only the letters with the maximum count\n result = {letter: count for letter, count in letter_counts.items() if count == max_count}\n \n return result\n\n# Test cases"} +{"task_id": "HumanEval/112", "solution": "def reverse_delete(s, c):\n \"\"\"\n Deletes all characters in string s that are equal to any character in string c,\n then checks if the result string is a palindrome.\n \n Parameters:\n s (str): The input string to be processed.\n c (str): The characters to be deleted from s.\n \n Returns:\n tuple: A tuple containing the processed string and a boolean indicating if it is a palindrome.\n \"\"\"\n # Remove characters in c from s\n s = ''.join([char for char in s if char not in c])\n \n # Check if the resulting string is a palindrome\n is_palindrome = s == s[::-1]\n \n return (s, is_palindrome)\n\n# Test cases"} +{"task_id": "HumanEval/113", "solution": "def odd_count(lst):\n \"\"\"Given a list of strings, where each string consists of only digits, return a list.\n Each element i of the output should be \"the number of odd elements in the\n string i of the input.\" where all the i's should be replaced by the number\n of odd digits in the i'th string of the input.\n\n >>> odd_count(['1234567'])\n [\"the number of odd elements 4n the str4ng 4 of the 4nput.\"]\n >>> odd_count(['3',\"11111111\"])\n [\"the number of odd elements 1n the str1ng 1 of the 1nput.\",\n \"the number of odd elements 8n the str8ng 8 of the 8nput.\"]\n \"\"\"\n result = []\n for i, s in enumerate(lst):\n odd_count = sum(1 for char in s if int(char) % 2 != 0)\n result.append(f\"the number of odd elements {odd_count}n the str{odd_count}ng {odd_count} of the {odd_count}nput.\")\n return result\n\n# Test cases"} +{"task_id": "HumanEval/114", "solution": "def minSubArraySum(nums):\n \"\"\"\n Given an array of integers nums, find the minimum sum of any non-empty sub-array\n of nums.\n Example\n minSubArraySum([2, 3, 4, 1, 2, 4]) == 1\n minSubArraySum([-1, -2, -3]) == -6\n \"\"\"\n if not nums:\n return 0\n\n min_sum = float('inf')\n current_sum = 0\n\n for num in nums:\n current_sum += num\n if current_sum < min_sum:\n min_sum = current_sum\n if current_sum > 0:\n current_sum = 0\n\n return min_sum\n\n# Test cases"} +{"task_id": "HumanEval/115", "solution": "import math\n\ndef max_fill(grid, capacity):\n \"\"\"\n You are given a rectangular grid of wells. Each row represents a single well,\n and each 1 in a row represents a single unit of water.\n Each well has a corresponding bucket that can be used to extract water from it, \n and all buckets have the same capacity.\n Your task is to use the buckets to empty the wells.\n Output the number of times you need to lower the buckets.\n\n Example 1:\n Input: \n grid : [[0,0,1,0], [0,1,0,0], [1,1,1,1]]\n bucket_capacity : 1\n Output: 6\n\n Example 2:\n Input: \n grid : [[0,0,1,1], [0,0,0,0], [1,1,1,1], [0,1,1,1]]\n bucket_capacity : 2\n Output: 5\n \n Example 3:\n Input: \n grid : [[0,0,0], [0,0,0]]\n bucket_capacity : 5\n Output: 0\n\n Constraints:\n * all wells have the same length\n * 1 <= grid.length <= 10^2\n * 1 <= grid[:,1].length <= 10^2\n * grid[i][j] -> 0 | 1\n * 1 <= capacity <= 10\n \"\"\"\n # Initialize the number of times the buckets need to be lowered\n times = 0\n \n # Iterate over each row in the grid\n for row in grid:\n # Count the number of 1s in the row\n ones = sum(row)\n \n # Calculate the number of times the buckets need to be lowered for this row\n times += math.ceil(ones / capacity)\n \n return times\n\n# Test cases"} +{"task_id": "HumanEval/116", "solution": "def sort_array(arr):\n \"\"\"\n In this Kata, you have to sort an array of non-negative integers according to\n number of ones in their binary representation in ascending order.\n For similar number of ones, sort based on decimal value.\n\n It must be implemented like this:\n >>> sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5]\n >>> sort_array([-2, -3, -4, -5, -6]) == [-6, -5, -4, -3, -2]\n >>> sort_array([1, 0, 2, 3, 4]) [0, 1, 2, 3, 4]\n \"\"\"\n # Convert each number to its binary representation and count the number of ones\n binary_counts = [(bin(num).count('1'), num) for num in arr]\n \n # Sort the list based on the count of ones and then the decimal value\n sorted_arr = sorted(binary_counts, key=lambda x: (x[0], x[1]))\n \n # Extract the sorted decimal values\n sorted_arr = [num for _, num in sorted_arr]\n \n return sorted_arr\n\n# Test cases"} +{"task_id": "HumanEval/117", "solution": "def select_words(s, n):\n \"\"\"\n Given a string s and a natural number n, returns a list of all words from string s \n that contain exactly n consonants, in order these words appear in the string s.\n If the string s is empty then the function returns an empty list.\n Note: you may assume the input string contains only letters and spaces.\n \"\"\"\n def count_consonants(word):\n \"\"\"Helper function to count consonants in a word.\"\"\"\n consonants = \"bcdfghjklmnpqrstvwxyz\"\n return sum(1 for char in word.lower() if char in consonants)\n\n if not s:\n return []\n\n words = s.split()\n return [word for word in words if count_consonants(word) == n]\n\n# Test cases"} +{"task_id": "HumanEval/118", "solution": "def get_closest_vowel(word):\n \"\"\"\n You are given a word. Your task is to find the closest vowel that stands between \n two consonants from the right side of the word (case sensitive).\n \n Vowels in the beginning and ending doesn't count. Return empty string if you didn't\n find any vowel met the above condition. \n\n You may assume that the given string contains English letter only.\n\n Example:\n get_closest_vowel(\"yogurt\") ==> \"u\"\n get_closest_vowel(\"FULL\") ==> \"U\"\n get_closest_vowel(\"quick\") ==> \"\"\n get_closest_vowel(\"ab\") ==> \"\"\n \"\"\"\n vowels = \"aeiouAEIOU\"\n for i in range(len(word) - 2, 0, -1):\n if word[i] in vowels and word[i-1] not in vowels and word[i+1] not in vowels:\n return word[i]\n return \"\"\n\n# Test cases"} +{"task_id": "HumanEval/119", "solution": "def match_parens(lst):\n '''\n You are given a list of two strings, both strings consist of open\n parentheses '(' or close parentheses ')' only.\n Your job is to check if it is possible to concatenate the two strings in\n some order, that the resulting string will be good.\n A string S is considered to be good if and only if all parentheses in S\n are balanced. For example: the string '(())()' is good, while the string\n '())' is not.\n Return 'Yes' if there's a way to make a good string, and return 'No' otherwise.\n\n Examples:\n match_parens(['()(', ')']) == 'Yes'\n match_parens([')', ')']) == 'No'\n '''\n # Initialize a stack to keep track of open parentheses\n stack = []\n \n # Concatenate the two strings\n combined_string = lst[0] + lst[1]\n \n # Iterate over each character in the combined string\n for char in combined_string:\n if char == '(':\n # If an open parenthesis is found, push it onto the stack\n stack.append(char)\n elif char == ')':\n # If a close parenthesis is found, check if there is a matching open parenthesis\n if not stack:\n # If the stack is empty, there is no matching open parenthesis\n return 'No'\n # Pop the last open parenthesis from the stack\n stack.pop()\n \n # If the stack is empty, all parentheses are balanced\n return 'Yes' if not stack else 'No'\n\n# Test cases"} +{"task_id": "HumanEval/120", "solution": "def maximum(arr, k):\n \"\"\"\n Given an array arr of integers and a positive integer k, return a sorted list \n of length k with the maximum k numbers in arr.\n\n Example 1:\n\n Input: arr = [-3, -4, 5], k = 3\n Output: [-4, -3, 5]\n\n Example 2:\n\n Input: arr = [4, -4, 4], k = 2\n Output: [4, 4]\n\n Example 3:\n\n Input: arr = [-3, 2, 1, 2, -1, -2, 1], k = 1\n Output: [2]\n\n Note:\n 1. The length of the array will be in the range of [1, 1000].\n 2. The elements in the array will be in the range of [-1000, 1000].\n 3. 0 <= k <= len(arr)\n \"\"\"\n # Sort the array in descending order\n arr.sort(reverse=True)\n # Return the first k elements of the sorted array\n return arr[:k]\n\n# Test cases"} +{"task_id": "HumanEval/121", "solution": "def solution(lst):\n \"\"\"Given a non-empty list of integers, return the sum of all of the odd elements that are in even positions.\n \n Examples\n solution([5, 8, 7, 1]) ==> 12\n solution([3, 3, 3, 3, 3]) ==> 9\n solution([30, 13, 24, 321]) ==>0\n \"\"\"\n return sum(lst[i] for i in range(0, len(lst), 2) if lst[i] % 2 != 0)\n\n# Test cases"} +{"task_id": "HumanEval/122", "solution": "def add_elements(arr, k):\n \"\"\"\n Given a non-empty array of integers arr and an integer k, return\n the sum of the elements with at most two digits from the first k elements of arr.\n\n Example:\n\n Input: arr = [111,21,3,4000,5,6,7,8,9], k = 4\n Output: 24 # sum of 21 + 3\n\n Constraints:\n 1. 1 <= len(arr) <= 100\n 2. 1 <= k <= len(arr)\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first k elements of the array\n for i in range(k):\n # Check if the number has at most two digits\n if len(str(arr[i])) <= 2:\n # Add the number to the total sum\n total_sum += arr[i]\n \n # Return the total sum\n return total_sum\n\n# Test cases"} +{"task_id": "HumanEval/123", "solution": "def get_odd_collatz(n):\n \"\"\"\n Given a positive integer n, return a sorted list that has the odd numbers in collatz sequence.\n\n The Collatz conjecture is a conjecture in mathematics that concerns a sequence defined\n as follows: start with any positive integer n. Then each term is obtained from the \n previous term as follows: if the previous term is even, the next term is one half of \n the previous term. If the previous term is odd, the next term is 3 times the previous\n term plus 1. The conjecture is that no matter what value of n, the sequence will always reach 1.\n\n Note: \n 1. Collatz(1) is [1].\n 2. returned list sorted in increasing order.\n\n For example:\n get_odd_collatz(5) returns [1, 5] # The collatz sequence for 5 is [5, 16, 8, 4, 2, 1], so the odd numbers are only 1, and 5.\n \"\"\"\n # Initialize an empty list to store the odd numbers in the Collatz sequence\n odd_numbers = []\n \n # Generate the Collatz sequence\n while n != 1:\n # Check if the current number is odd\n if n % 2 != 0:\n odd_numbers.append(n)\n \n # Apply the Collatz function\n if n % 2 == 0:\n n = n // 2\n else:\n n = 3 * n + 1\n \n # Add 1 to the list of odd numbers\n odd_numbers.append(1)\n \n # Sort the list of odd numbers in increasing order\n odd_numbers.sort()\n \n return odd_numbers\n\n# Test cases"} +{"task_id": "HumanEval/124", "solution": "def valid_date(date):\n \"\"\"\n Validates a given date string and returns True if the date is valid otherwise False.\n The date is valid if all of the following rules are satisfied:\n 1. The date string is not empty.\n 2. The number of days is not less than 1 or higher than 31 days for months 1,3,5,7,8,10,12. And the number of days is not less than 1 or higher than 30 days for months 4,6,9,11. And, the number of days is not less than 1 or higher than 29 for the month 2.\n 3. The months should not be less than 1 or higher than 12.\n 4. The date should be in the format: mm-dd-yyyy\n\n for example: \n valid_date('03-11-2000') => True\n\n valid_date('15-01-2012') => False\n\n valid_date('04-0-2040') => False\n\n valid_date('06-04-2020') => True\n\n valid_date('06/04/2020') => False\n \"\"\"\n if not date:\n return False\n\n parts = date.split('-')\n if len(parts) != 3:\n return False\n\n month, day, year = parts\n if not month.isdigit() or not day.isdigit() or not year.isdigit():\n return False\n\n month = int(month)\n day = int(day)\n year = int(year)\n\n if month < 1 or month > 12:\n return False\n\n if month in [4, 6, 9, 11]:\n if day < 1 or day > 30:\n return False\n elif month == 2:\n if day < 1 or day > 29:\n return False\n else:\n if day < 1 or day > 31:\n return False\n\n return True\n\n# Test cases"} +{"task_id": "HumanEval/125", "solution": "def split_words(txt):\n '''\n Given a string of words, return a list of words split on whitespace, if no whitespaces exists in the text you\n should split on commas ',' if no commas exists you should return the number of lower-case letters with odd order in the\n alphabet, ord('a') = 0, ord('b') = 1, ... ord('z') = 25\n Examples\n split_words(\"Hello world!\") \u279e [\"Hello\", \"world!\"]\n split_words(\"Hello,world!\") \u279e [\"Hello\", \"world!\"]\n split_words(\"abcdef\") == 3 \n '''\n if ' ' in txt:\n return txt.split()\n elif ',' in txt:\n return txt.split(',')\n else:\n return sum(1 for char in txt if char.islower() and (ord(char) - ord('a')) % 2 != 0)\n\n# Test cases"} +{"task_id": "HumanEval/126", "solution": "def is_sorted(lst):\n '''\n Given a list of numbers, return whether or not they are sorted\n in ascending order. If list has more than 1 duplicate of the same\n number, return False. Assume no negative numbers and only integers.\n\n Examples\n is_sorted([5]) \u279e True\n is_sorted([1, 2, 3, 4, 5]) \u279e True\n is_sorted([1, 3, 2, 4, 5]) \u279e False\n is_sorted([1, 2, 3, 4, 5, 6]) \u279e True\n is_sorted([1, 2, 3, 4, 5, 6, 7]) \u279e True\n is_sorted([1, 3, 2, 4, 5, 6, 7]) \u279e False\n is_sorted([1, 2, 2, 3, 3, 4]) \u279e True\n is_sorted([1, 2, 2, 2, 3, 4]) \u279e False\n '''\n # Check if the list is sorted in ascending order\n if lst == sorted(lst):\n # Check if there are duplicates\n if len(lst) == len(set(lst)):\n return True\n else:\n return False\n else:\n return False\n\n# Test cases"} +{"task_id": "HumanEval/127", "solution": "def intersection(interval1, interval2):\n \"\"\"\n Determines whether the length of the intersection of two given intervals is a prime number.\n \n Parameters:\n interval1 (tuple): The first interval, where each element is an integer.\n interval2 (tuple): The second interval, where each element is an integer.\n \n Returns:\n str: \"YES\" if the length of the intersection is a prime number, \"NO\" otherwise.\n \"\"\"\n # Check if the intervals intersect\n if interval1[0] > interval2[1] or interval2[0] > interval1[1]:\n return \"NO\"\n \n # Calculate the intersection\n start = max(interval1[0], interval2[0])\n end = min(interval1[1], interval2[1])\n \n # Calculate the length of the intersection\n length = end - start + 1\n \n # Check if the length is a prime number\n if length < 2:\n return \"NO\"\n for i in range(2, int(length**0.5) + 1):\n if length % i == 0:\n return \"NO\"\n return \"YES\"\n\n# Test cases"} +{"task_id": "HumanEval/128", "solution": "def prod_signs(arr):\n \"\"\"\n You are given an array arr of integers and you need to return\n sum of magnitudes of integers multiplied by product of all signs\n of each number in the array, represented by 1, -1 or 0.\n Note: return None for empty arr.\n\n Example:\n >>> prod_signs([1, 2, 2, -4]) == -9\n >>> prod_signs([0, 1]) == 0\n >>> prod_signs([]) == None\n \"\"\"\n if not arr:\n return None\n \n total_sum = 0\n sign_product = 1\n \n for num in arr:\n if num > 0:\n sign_product *= 1\n elif num < 0:\n sign_product *= -1\n total_sum += abs(num)\n \n return total_sum * sign_product\n\n# Test cases"} +{"task_id": "HumanEval/129", "solution": "def minPath(grid, k):\n \"\"\"\n Given a grid with N rows and N columns (N >= 2) and a positive integer k, \n each cell of the grid contains a value. Every integer in the range [1, N * N]\n inclusive appears exactly once on the cells of the grid.\n\n You have to find the minimum path of length k in the grid. You can start\n from any cell, and in each step you can move to any of the neighbor cells,\n in other words, you can go to cells which share an edge with you current\n cell.\n Please note that a path of length k means visiting exactly k cells (not\n necessarily distinct).\n You CANNOT go off the grid.\n A path A (of length k) is considered less than a path B (of length k) if\n after making the ordered lists of the values on the cells that A and B go\n through (let's call them lst_A and lst_B), lst_A is lexicographically less\n than lst_B, in other words, there exist an integer index i (1 <= i <= k)\n such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have\n lst_A[j] = lst_B[j].\n It is guaranteed that the answer is unique.\n Return an ordered list of the values on the cells that the minimum path go through.\n\n Examples:\n\n Input: grid = [ [1,2,3], [4,5,6], [7,8,9]], k = 3\n Output: [1, 2, 1]\n\n Input: grid = [ [5,9,3], [4,1,6], [7,8,2]], k = 1\n Output: [1]\n \"\"\"\n def dfs(x, y, k, path):\n if k == 0:\n return path\n min_path = None\n for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]:\n nx, ny = x + dx, y + dy\n if 0 <= nx < len(grid) and 0 <= ny < len(grid[0]):\n new_path = path + [grid[nx][ny]]\n if min_path is None or new_path < min_path:\n min_path = new_path\n if min_path is not None:\n min_path = dfs(nx, ny, k - 1, new_path)\n return min_path\n\n min_path = None\n for i in range(len(grid)):\n for j in range(len(grid[0])):\n path = [grid[i][j]]\n new_path = dfs(i, j, k - 1, path)\n if min_path is None or new_path < min_path:\n min_path = new_path\n return min_path\n\n# Test cases"} +{"task_id": "HumanEval/130", "solution": "def tri(n):\n \"\"\"\n Generates the first n + 1 numbers of the Tribonacci sequence.\n \n The Tribonacci sequence is defined by the recurrence:\n tri(1) = 3\n tri(n) = 1 + n / 2, if n is even.\n tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.\n \n Parameters:\n n (int): The number of terms to generate.\n \n Returns:\n list: A list of the first n + 1 numbers of the Tribonacci sequence.\n \n Examples:\n >>> tri(3)\n [1, 3, 2, 8]\n >>> tri(5)\n [1, 3, 2, 8, 11, 20]\n \"\"\"\n if n < 0:\n raise ValueError(\"n must be a non-negative integer\")\n \n # Initialize the sequence with the first two terms\n sequence = [1, 3]\n \n # Generate the rest of the sequence\n for i in range(2, n + 1):\n if i % 2 == 0:\n sequence.append(1 + i // 2)\n else:\n sequence.append(sequence[-1] + sequence[-2] + sequence[-3])\n \n return sequence[:n + 1]\n\n# Test cases"} +{"task_id": "HumanEval/131", "solution": "def digits(n):\n \"\"\"\n Given a positive integer n, return the product of the odd digits.\n Return 0 if all digits are even.\n For example:\n digits(1) == 1\n digits(4) == 0\n digits(235) == 15\n \"\"\"\n product = 1\n has_odd = False\n for digit in str(n):\n digit = int(digit)\n if digit % 2 != 0:\n product *= digit\n has_odd = True\n return product if has_odd else 0\n\n# Test cases"} +{"task_id": "HumanEval/132", "solution": "def is_nested(string):\n '''\n Create a function that takes a string as input which contains only square brackets.\n The function should return True if and only if there is a valid subsequence of brackets \n where at least one bracket in the subsequence is nested.\n\n is_nested('[[]]') \u279e True\n is_nested('[]]]]]]][[[[[]') \u279e False\n is_nested('[][]') \u279e False\n is_nested('[]') \u279e False\n is_nested('[[][]]') \u279e True\n is_nested('[[]][[') \u279e True\n '''\n stack = []\n for char in string:\n if char == '[':\n stack.append(char)\n elif char == ']':\n if not stack or stack[-1] != '[':\n return False\n stack.pop()\n return bool(stack)\n\n# Test cases"} +{"task_id": "HumanEval/133", "solution": "import math\n\ndef sum_squares(lst):\n \"\"\"\n You are given a list of numbers.\n You need to return the sum of squared numbers in the given list,\n round each element in the list to the upper int(Ceiling) first.\n Examples:\n For lst = [1,2,3] the output should be 14\n For lst = [1,4,9] the output should be 98\n For lst = [1,3,5,7] the output should be 84\n For lst = [1.4,4.2,0] the output should be 29\n For lst = [-2.4,1,1] the output should be 6\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over each element in the list\n for num in lst:\n # Round the number to the upper integer using math.ceil\n rounded_num = math.ceil(num)\n # Add the square of the rounded number to the total sum\n total_sum += rounded_num ** 2\n \n # Return the total sum\n return total_sum\n\n# Test cases"} +{"task_id": "HumanEval/134", "solution": "def check_if_last_char_is_a_letter(txt):\n '''\n Create a function that returns True if the last character\n of a given string is an alphabetical character and is not\n a part of a word, and False otherwise.\n Note: \"word\" is a group of characters separated by space.\n\n Examples:\n check_if_last_char_is_a_letter(\"apple pie\") \u279e False\n check_if_last_char_is_a_letter(\"apple pi e\") \u279e True\n check_if_last_char_is_a_letter(\"apple pi e \") \u279e False\n check_if_last_char_is_a_letter(\"\") \u279e False \n '''\n # Check if the string is empty\n if not txt:\n return False\n \n # Check if the last character is a letter\n if txt[-1].isalpha():\n # Check if the last character is not part of a word\n if len(txt) == 1 or not txt[-2].isalpha():\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/135", "solution": "def can_arrange(arr):\n \"\"\"\n Create a function which returns the largest index of an element which\n is not greater than or equal to the element immediately preceding it. If\n no such element exists then return -1. The given array will not contain\n duplicate values.\n\n Examples:\n can_arrange([1,2,4,3,5]) = 3\n can_arrange([1,2,3]) = -1\n \"\"\"\n for i in range(len(arr) - 1, 0, -1):\n if arr[i] < arr[i - 1]:\n return i\n return -1\n\n# Test cases"} +{"task_id": "HumanEval/136", "solution": "def largest_smallest_integers(lst):\n '''\n Create a function that returns a tuple (a, b), where 'a' is\n the largest of negative integers, and 'b' is the smallest\n of positive integers in a list.\n If there is no negative or positive integers, return them as None.\n\n Examples:\n largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)\n largest_smallest_integers([]) == (None, None)\n largest_smallest_integers([0]) == (None, None)\n '''\n largest_negative = None\n smallest_positive = None\n\n for num in lst:\n if num < 0:\n if largest_negative is None or num > largest_negative:\n largest_negative = num\n elif num > 0:\n if smallest_positive is None or num < smallest_positive:\n smallest_positive = num\n\n return largest_negative, smallest_positive\n\n# Test cases"} +{"task_id": "HumanEval/137", "solution": "def compare_one(a, b):\n \"\"\"\n Create a function that takes integers, floats, or strings representing\n real numbers, and returns the larger variable in its given variable type.\n Return None if the values are equal.\n Note: If a real number is represented as a string, the floating point might be . or ,\n\n compare_one(1, 2.5) \u279e 2.5\n compare_one(1, \"2,3\") \u279e \"2,3\"\n compare_one(\"5,1\", \"6\") \u279e \"6\"\n compare_one(\"1\", 1) \u279e None\n \"\"\"\n # Convert strings to floats if possible\n if isinstance(a, str):\n a = a.replace(',', '.')\n try:\n a = float(a)\n except ValueError:\n pass\n if isinstance(b, str):\n b = b.replace(',', '.')\n try:\n b = float(b)\n except ValueError:\n pass\n\n # Check if both are numbers\n if isinstance(a, (int, float)) and isinstance(b, (int, float)):\n if a == b:\n return None\n else:\n return max(a, b)\n elif isinstance(a, (int, float)):\n return a\n elif isinstance(b, (int, float)):\n return b\n else:\n return None\n\n# Test cases"} +{"task_id": "HumanEval/138", "solution": "def is_equal_to_sum_even(n):\n \"\"\"\n Evaluate whether the given number n can be written as the sum of exactly 4 positive even numbers.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if n can be written as the sum of exactly 4 positive even numbers, False otherwise.\n \n Examples:\n >>> is_equal_to_sum_even(4)\n False\n >>> is_equal_to_sum_even(6)\n False\n >>> is_equal_to_sum_even(8)\n True\n \"\"\"\n # Check if n is even\n if n % 2 != 0:\n return False\n \n # Check if n can be written as the sum of exactly 4 positive even numbers\n for i in range(2, n // 2 + 1, 2):\n for j in range(i, n // 2 + 1, 2):\n for k in range(j, n // 2 + 1, 2):\n for l in range(k, n // 2 + 1, 2):\n if i + j + k + l == n:\n return True\n return False\n\n# Test cases"} +{"task_id": "HumanEval/139", "solution": "def special_factorial(n):\n \"\"\"The Brazilian factorial is defined as:\n brazilian_factorial(n) = n! * (n-1)! * (n-2)! * ... * 1!\n where n > 0\n\n For example:\n >>> special_factorial(4)\n 288\n\n The function will receive an integer as input and should return the special\n factorial of this integer.\n \"\"\"\n if n == 0:\n return 1\n result = 1\n for i in range(1, n + 1):\n result *= i\n return result\n\n# Test cases"} +{"task_id": "HumanEval/140", "solution": "def fix_spaces(text):\n \"\"\"\n Given a string text, replace all spaces in it with underscores, \n and if a string has more than 2 consecutive spaces, \n then replace all consecutive spaces with - \n \n fix_spaces(\"Example\") == \"Example\"\n fix_spaces(\"Example 1\") == \"Example_1\"\n fix_spaces(\" Example 2\") == \"_Example_2\"\n fix_spaces(\" Example 3\") == \"_Example-3\"\n \"\"\"\n # Initialize an empty string to store the result\n result = \"\"\n \n # Initialize a flag to track if we are in a sequence of spaces\n in_sequence = False\n \n # Iterate over each character in the input string\n for char in text:\n # If the character is a space\n if char == \" \":\n # If we are not already in a sequence of spaces\n if not in_sequence:\n # Start a new sequence of spaces\n in_sequence = True\n # Add an underscore to the result\n result += \"_\"\n # If we are already in a sequence of spaces\n else:\n # Add a hyphen to the result\n result += \"-\"\n # If the character is not a space\n else:\n # If we are in a sequence of spaces\n if in_sequence:\n # End the sequence of spaces\n in_sequence = False\n # Add the character to the result\n result += char\n \n # Return the result\n return result\n\n# Test cases"} +{"task_id": "HumanEval/141", "solution": "import re\n\ndef file_name_check(file_name):\n \"\"\"\n Create a function which takes a string representing a file's name, and returns\n 'Yes' if the the file's name is valid, and returns 'No' otherwise.\n A file's name is considered to be valid if and only if all the following conditions \n are met:\n - There should not be more than three digits ('0'-'9') in the file's name.\n - The file's name contains exactly one dot '.'\n - The substring before the dot should not be empty, and it starts with a letter from \n the latin alphapet ('a'-'z' and 'A'-'Z').\n - The substring after the dot should be one of these: ['txt', 'exe', 'dll']\n Examples:\n file_name_check(\"example.txt\") # => 'Yes'\n file_name_check(\"1example.dll\") # => 'No' (the name should start with a latin alphapet letter)\n \"\"\"\n # Check if the file name contains exactly one dot\n if file_name.count('.') != 1:\n return 'No'\n \n # Split the file name into the name part and the extension part\n name, extension = file_name.split('.')\n \n # Check if the name part is empty\n if not name:\n return 'No'\n \n # Check if the name part starts with a letter\n if not name[0].isalpha():\n return 'No'\n \n # Check if there are more than three digits in the name part\n if len(re.findall(r'\\d', name)) > 3:\n return 'No'\n \n # Check if the extension is one of the allowed extensions\n if extension not in ['txt', 'exe', 'dll']:\n return 'No'\n \n return 'Yes'\n\n# Test cases"} +{"task_id": "HumanEval/142", "solution": "def sum_squares(lst):\n \"\"\"\n This function will take a list of integers. For all entries in the list, the function shall square the integer entry if its index is a \n multiple of 3 and will cube the integer entry if its index is a multiple of 4 and not a multiple of 3. The function will not \n change the entries in the list whose indexes are not a multiple of 3 or 4. The function shall then return the sum of all entries. \n \n Examples:\n For lst = [1,2,3] the output should be 6\n For lst = [] the output should be 0\n For lst = [-1,-5,2,-1,-5] the output should be -126\n \"\"\"\n result = 0\n for i, num in enumerate(lst):\n if i % 3 == 0:\n result += num ** 2\n elif i % 4 == 0:\n result += num ** 3\n else:\n result += num\n return result\n\n# Test cases"} +{"task_id": "HumanEval/143", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef words_in_sentence(sentence):\n \"\"\"\n You are given a string representing a sentence,\n the sentence contains some words separated by a space,\n and you have to return a string that contains the words from the original sentence,\n whose lengths are prime numbers,\n the order of the words in the new string should be the same as the original one.\n\n Example 1:\n Input: sentence = \"This is a test\"\n Output: \"is\"\n\n Example 2:\n Input: sentence = \"lets go for swimming\"\n Output: \"go for\"\n\n Constraints:\n * 1 <= len(sentence) <= 100\n * sentence contains only letters\n \"\"\"\n words = sentence.split()\n result = []\n for word in words:\n if is_prime(len(word)):\n result.append(word)\n return ' '.join(result)\n\n# Test cases"} +{"task_id": "HumanEval/144", "solution": "def simplify(x, n):\n \"\"\"\n Simplifies the expression x * n.\n\n Parameters:\n x (str): A string representation of a fraction.\n n (str): A string representation of a fraction.\n\n Returns:\n bool: True if x * n evaluates to a whole number, False otherwise.\n \"\"\"\n # Split the fractions into numerators and denominators\n x_num, x_den = map(int, x.split('/'))\n n_num, n_den = map(int, n.split('/'))\n\n # Calculate the numerator and denominator of the result\n result_num = x_num * n_num\n result_den = x_den * n_den\n\n # Check if the result is a whole number\n return result_num % result_den == 0\n\n# Test cases"} +{"task_id": "HumanEval/145", "solution": "def order_by_points(nums):\n \"\"\"\n Write a function which sorts the given list of integers\n in ascending order according to the sum of their digits.\n Note: if there are several items with similar sum of their digits,\n order them based on their index in original list.\n\n For example:\n >>> order_by_points([1, 11, -1, -11, -12]) == [-1, -11, 1, -12, 11]\n >>> order_by_points([]) == []\n \"\"\"\n # Define a helper function to calculate the sum of digits\n def sum_of_digits(n):\n return sum(int(digit) for digit in str(abs(n)))\n\n # Use the sorted function with a custom key\n return sorted(nums, key=lambda x: (sum_of_digits(x), nums.index(x)))\n\n# Test cases"} +{"task_id": "HumanEval/146", "solution": "def specialFilter(nums):\n \"\"\"\n Write a function that takes an array of numbers as input and returns \n the number of elements in the array that are greater than 10 and both \n first and last digits of a number are odd (1, 3, 5, 7, 9).\n For example:\n specialFilter([15, -73, 14, -15]) => 1 \n specialFilter([33, -2, -3, 45, 21, 109]) => 2\n \"\"\"\n count = 0\n for num in nums:\n if num > 10:\n str_num = str(abs(num))\n if len(str_num) > 1 and str_num[0] in '13579' and str_num[-1] in '13579':\n count += 1\n return count\n\n# Test cases"} +{"task_id": "HumanEval/147", "solution": "def get_max_triples(n):\n \"\"\"\n You are given a positive integer n. You have to create an integer array a of length n.\n For each i (1 \u2264 i \u2264 n), the value of a[i] = i * i - i + 1.\n Return the number of triples (a[i], a[j], a[k]) of a where i < j < k, \n and a[i] + a[j] + a[k] is a multiple of 3.\n\n Example :\n Input: n = 5\n Output: 1\n Explanation: \n a = [1, 3, 7, 13, 21]\n The only valid triple is (1, 7, 13).\n \"\"\"\n # Generate the array a\n a = [i * i - i + 1 for i in range(1, n + 1)]\n \n # Initialize the count of triples\n count = 0\n \n # Iterate over all possible triples (i, j, k)\n for i in range(n):\n for j in range(i + 1, n):\n for k in range(j + 1, n):\n # Check if the sum of the triple is a multiple of 3\n if (a[i] + a[j] + a[k]) % 3 == 0:\n count += 1\n \n return count\n\n# Test cases"} +{"task_id": "HumanEval/148", "solution": "def bf(planet1, planet2):\n '''\n There are eight planets in our solar system: the closerst to the Sun \n is Mercury, the next one is Venus, then Earth, Mars, Jupiter, Saturn, \n Uranus, Neptune.\n Write a function that takes two planet names as strings planet1 and planet2. \n The function should return a tuple containing all planets whose orbits are \n located between the orbit of planet1 and the orbit of planet2, sorted by \n the proximity to the sun. \n The function should return an empty tuple if planet1 or planet2\n are not correct planet names. \n Examples\n bf(\"Jupiter\", \"Neptune\") ==> (\"Saturn\", \"Uranus\")\n bf(\"Earth\", \"Mercury\") ==> (\"Venus\")\n bf(\"Mercury\", \"Uranus\") ==> (\"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\")\n '''\n planets = [\"Mercury\", \"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\", \"Uranus\", \"Neptune\"]\n if planet1 not in planets or planet2 not in planets:\n return ()\n index1 = planets.index(planet1)\n index2 = planets.index(planet2)\n if index1 > index2:\n index1, index2 = index2, index1\n return tuple(planets[index1+1:index2])\n\n# Test cases"} +{"task_id": "HumanEval/149", "solution": "def sorted_list_sum(lst):\n \"\"\"\n Write a function that accepts a list of strings as a parameter,\n deletes the strings that have odd lengths from it,\n and returns the resulted list with a sorted order,\n The list is always a list of strings and never an array of numbers,\n and it may contain duplicates.\n The order of the list should be ascending by length of each word, and you\n should return the list sorted by that rule.\n If two words have the same length, sort the list alphabetically.\n The function should return a list of strings in sorted order.\n You may assume that all words will have the same length.\n For example:\n assert list_sort([\"aa\", \"a\", \"aaa\"]) => [\"aa\"]\n assert list_sort([\"ab\", \"a\", \"aaa\", \"cd\"]) => [\"ab\", \"cd\"]\n \"\"\"\n # Filter out strings with odd lengths\n filtered_list = [word for word in lst if len(word) % 2 == 0]\n \n # Sort the list by length and then alphabetically\n sorted_list = sorted(filtered_list, key=lambda x: (len(x), x))\n \n return sorted_list\n\n# Test cases\nassert sorted_list_sum([\"aa\", \"a\", \"aaa\"]) == [\"aa\"]\nassert sorted_list_sum([\"ab\", \"a\", \"aaa\", \"cd\"]) == [\"ab\", \"cd\"]\nassert sorted_list_sum([\"abc\", \"def\", \"ghi\", \"jkl\"]) == [\"abc\", \"def\", \"ghi\", \"jkl\"]\nassert sorted_list_sum([\"abc\", \"def\", \"ghi\", \"jkl\", \"mno\", \"pqr\", \"stu\", \"vwx\", \"yz\"]) == [\"abc\", \"def\", \"ghi\", \"jkl\", \"mno\", \"pqr\", \"stu\", \"vwx\", \"yz\"]\n"} +{"task_id": "HumanEval/150", "solution": "def is_prime(n):\n \"\"\"Check if a number is prime.\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef x_or_y(n, x, y):\n \"\"\"A simple program which should return the value of x if n is \n a prime number and should return the value of y otherwise.\n\n Examples:\n for x_or_y(7, 34, 12) == 34\n for x_or_y(15, 8, 5) == 5\n \n \"\"\"\n if is_prime(n):\n return x\n else:\n return y\n\n# Test cases"} +{"task_id": "HumanEval/151", "solution": "def double_the_difference(lst):\n '''\n Given a list of numbers, return the sum of squares of the numbers\n in the list that are odd. Ignore numbers that are negative or not integers.\n \n double_the_difference([1, 3, 2, 0]) == 1 + 9 + 0 + 0 = 10\n double_the_difference([-1, -2, 0]) == 0\n double_the_difference([9, -2]) == 81\n double_the_difference([0]) == 0 \n \n If the input list is empty, return 0.\n '''\n result = 0\n for num in lst:\n if isinstance(num, int) and num > 0 and num % 2 != 0:\n result += num ** 2\n return result\n\n# Test cases"} +{"task_id": "HumanEval/152", "solution": "def compare(game, guess):\n \"\"\"\n This function compares the results of a number of matches between the game and the guess.\n It returns an array of the same length denoting how far off each guess was.\n If they have guessed correctly, the value is 0, and if not, the value is the absolute difference between the guess and the score.\n \n Parameters:\n game (list): A list of scores for each match.\n guess (list): A list of guesses for each match.\n \n Returns:\n list: A list of the same length denoting how far off each guess was.\n \"\"\"\n # Initialize an empty list to store the results\n results = []\n \n # Iterate over the game and guess lists simultaneously\n for score, g in zip(game, guess):\n # Calculate the absolute difference between the score and the guess\n difference = abs(score - g)\n # Append the difference to the results list\n results.append(difference)\n \n # Return the results list\n return results\n\n# Test cases"} +{"task_id": "HumanEval/153", "solution": "def Strongest_Extension(class_name, extensions):\n \"\"\"\n Finds the strongest extension based on the given criteria and returns a string in the format:\n ClassName.StrongestExtensionName.\n \"\"\"\n # Initialize the strongest extension and its strength\n strongest_extension = None\n max_strength = float('-inf')\n\n # Iterate over each extension\n for extension in extensions:\n # Calculate the strength of the extension\n cap = sum(1 for char in extension if char.isupper())\n sm = sum(1 for char in extension if char.islower())\n strength = cap - sm\n\n # Update the strongest extension if the current extension is stronger\n if strength > max_strength:\n max_strength = strength\n strongest_extension = extension\n\n # Return the result in the required format\n return f\"{class_name}.{strongest_extension}\"\n\n# Test cases"} +{"task_id": "HumanEval/154", "solution": "def cycpattern_check(a, b):\n \"\"\"\n You are given 2 words. You need to return True if the second word or any of its rotations is a substring in the first word.\n cycpattern_check(\"abcd\",\"abd\") => False\n cycpattern_check(\"hello\",\"ell\") => True\n cycpattern_check(\"whassup\",\"psus\") => False\n cycpattern_check(\"abab\",\"baa\") => True\n cycpattern_check(\"efef\",\"eeff\") => False\n cycpattern_check(\"himenss\",\"simen\") => True\n \"\"\"\n # Check if b is a substring of a\n if b in a:\n return True\n \n # Check if any rotation of b is a substring of a\n for i in range(len(b)):\n if b[i:] + b[:i] in a:\n return True\n \n return False\n\n# Test cases"} +{"task_id": "HumanEval/155", "solution": "def even_odd_count(num):\n \"\"\"Given an integer. return a tuple that has the number of even and odd digits respectively.\n\n Example:\n even_odd_count(-12) ==> (1, 1)\n even_odd_count(123) ==> (1, 2)\n \"\"\"\n even_count = 0\n odd_count = 0\n num_str = str(abs(num)) # Convert to absolute value and then to string to iterate over digits\n for digit in num_str:\n if int(digit) % 2 == 0:\n even_count += 1\n else:\n odd_count += 1\n return (even_count, odd_count)\n\n# Test cases"} +{"task_id": "HumanEval/156", "solution": "def int_to_mini_roman(number):\n \"\"\"\n Given a positive integer, obtain its roman numeral equivalent as a string,\n and return it in lowercase.\n Restrictions: 1 <= num <= 1000\n\n Examples:\n >>> int_to_mini_roman(19) == 'xix'\n >>> int_to_mini_roman(152) == 'clii'\n >>> int_to_mini_roman(426) == 'cdxxvi'\n \"\"\"\n # Define the mapping of integers to roman numerals\n roman_numerals = {\n 1: 'i', 4: 'iv', 5: 'v', 9: 'ix',\n 10: 'x', 40: 'xl', 50: 'l', 90: 'xc',\n 100: 'c', 400: 'cd', 500: 'd', 900: 'cm',\n 1000: 'm'\n }\n\n # Initialize the result string\n result = ''\n\n # Iterate over the roman numerals in descending order\n for value, numeral in sorted(roman_numerals.items(), reverse=True):\n # While the number is greater than or equal to the current value\n while number >= value:\n # Add the corresponding numeral to the result\n result += numeral\n # Subtract the value from the number\n number -= value\n\n return result\n\n# Test cases"} +{"task_id": "HumanEval/157", "solution": "def right_angle_triangle(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return True if the three\n sides form a right-angled triangle, False otherwise.\n A right-angled triangle is a triangle in which one angle is right angle or \n 90 degree.\n Example:\n right_angle_triangle(3, 4, 5) == True\n right_angle_triangle(1, 2, 3) == False\n '''\n # Sort the sides to make the comparison easier\n sides = sorted([a, b, c])\n \n # Check if the square of the largest side is equal to the sum of the squares of the other two sides\n return sides[2]**2 == sides[0]**2 + sides[1]**2\n\n# Test cases"} +{"task_id": "HumanEval/158", "solution": "def find_max(words):\n \"\"\"\n Write a function that accepts a list of strings.\n The list contains different words. Return the word with maximum number\n of unique characters. If multiple strings have maximum number of unique\n characters, return the one which comes first in lexicographical order.\n\n find_max([\"name\", \"of\", \"string\"]) == \"string\"\n find_max([\"name\", \"enam\", \"game\"]) == \"enam\"\n find_max([\"aaaaaaa\", \"bb\" ,\"cc\"]) == \"aaaaaaa\"\n \"\"\"\n if not words:\n return \"\"\n\n max_unique_chars = 0\n max_word = \"\"\n\n for word in words:\n unique_chars = len(set(word))\n if unique_chars > max_unique_chars:\n max_unique_chars = unique_chars\n max_word = word\n elif unique_chars == max_unique_chars:\n max_word = min(max_word, word)\n\n return max_word\n\n# Test cases"} +{"task_id": "HumanEval/159", "solution": "def eat(number, need, remaining):\n \"\"\"\n You're a hungry rabbit, and you already have eaten a certain number of carrots,\n but now you need to eat more carrots to complete the day's meals.\n you should return an array of [ total number of eaten carrots after your meals,\n the number of carrots left after your meals ]\n if there are not enough remaining carrots, you will eat all remaining carrots, but will still be hungry.\n \n Example:\n * eat(5, 6, 10) -> [11, 4]\n * eat(4, 8, 9) -> [12, 1]\n * eat(1, 10, 10) -> [11, 0]\n * eat(2, 11, 5) -> [7, 0]\n \n Variables:\n @number : integer\n the number of carrots that you have eaten.\n @need : integer\n the number of carrots that you need to eat.\n @remaining : integer\n the number of remaining carrots thet exist in stock\n \n Constrain:\n * 0 <= number <= 1000\n * 0 <= need <= 1000\n * 0 <= remaining <= 1000\n\n Have fun :)\n \"\"\"\n # Calculate the total number of carrots eaten\n total_eaten = number + min(need, remaining)\n # Calculate the number of carrots left after eating\n carrots_left = remaining - min(need, remaining)\n return [total_eaten, carrots_left]\n\n# Test cases"} +{"task_id": "HumanEval/160", "solution": "def do_algebra(operator, operand):\n \"\"\"\n Given two lists operator, and operand. The first list has basic algebra operations, and \n the second list is a list of integers. Use the two given lists to build the algebric \n expression and return the evaluation of this expression.\n\n The basic algebra operations:\n Addition ( + ) \n Subtraction ( - ) \n Multiplication ( * ) \n Floor division ( // ) \n Exponentiation ( ** ) \n\n Example:\n operator['+', '*', '-']\n array = [2, 3, 4, 5]\n result = 2 + 3 * 4 - 5\n => result = 9\n\n Note:\n The length of operator list is equal to the length of operand list minus one.\n Operand is a list of of non-negative integers.\n Operator list has at least one operator, and operand list has at least two operands.\n\n \"\"\"\n # Initialize the result with the first operand\n result = operand[0]\n \n # Iterate over the operators and operands\n for i in range(len(operator)):\n # Apply the operator to the result and the next operand\n if operator[i] == '+':\n result += operand[i + 1]\n elif operator[i] == '-':\n result -= operand[i + 1]\n elif operator[i] == '*':\n result *= operand[i + 1]\n elif operator[i] == '//':\n result //= operand[i + 1]\n elif operator[i] == '**':\n result **= operand[i + 1]\n \n return result\n\n# Test cases"} +{"task_id": "HumanEval/161", "solution": "def solve(s):\n \"\"\"\n You are given a string s.\n if s[i] is a letter, reverse its case from lower to upper or vise versa, \n otherwise keep it as it is.\n If the string contains no letters, reverse the string.\n The function should return the resulted string.\n Examples\n solve(\"1234\") = \"4321\"\n solve(\"ab\") = \"AB\"\n solve(\"#a@C\") = \"#A@c\"\n \"\"\"\n # Check if the string contains any letters\n if any(char.isalpha() for char in s):\n # Reverse the case of each letter in the string\n return ''.join(char.upper() if char.islower() else char.lower() for char in s)\n else:\n # Reverse the string if it contains no letters\n return s[::-1]\n\n# Test cases"} +{"task_id": "HumanEval/162", "solution": "import hashlib\n\ndef string_to_md5(text):\n \"\"\"\n Given a string 'text', return its md5 hash equivalent string.\n If 'text' is an empty string, return None.\n\n >>> string_to_md5('Hello world') == '3e25960a79dbc69b674cd4ec67a72c62'\n \"\"\"\n if not text:\n return None\n return hashlib.md5(text.encode()).hexdigest()\n\n# Test cases"} +{"task_id": "HumanEval/163", "solution": "def generate_integers(a, b):\n \"\"\"\n Given two positive integers a and b, return the even digits between a\n and b, in ascending order.\n\n For example:\n generate_integers(2, 8) => [2, 4, 6, 8]\n generate_integers(8, 2) => [2, 4, 6, 8]\n generate_integers(10, 14) => []\n \"\"\"\n # Ensure a and b are positive integers\n if not (isinstance(a, int) and isinstance(b, int) and a > 0 and b > 0):\n raise ValueError(\"Both a and b must be positive integers.\")\n\n # Swap a and b if a > b\n if a > b:\n a, b = b, a\n\n # Generate even digits between a and b\n even_digits = [x for x in range(a, b + 1) if x % 2 == 0]\n\n return even_digits\n\n# Test cases"} diff --git a/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.eval_results.json b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..f8b0a93a27c228a7925bb32a131c1fba5a8dd5e1 --- /dev/null +++ b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.eval_results.json @@ -0,0 +1 @@ +{"date": "2025-01-13 04:04", "hash": "ee43ecabebf20deef4bb776a405ac5b1", "eval": {"Mbpp/2": [{"task_id": "Mbpp/2", "solution": "\n# Test the function\nassert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == set((4, 5))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/6": [{"task_id": "Mbpp/6", "solution": "def differ_At_One_Bit_Pos(x, y):\n return bin(x ^ y).count('1') == 1", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[-10, 10]]}], "Mbpp/3": [{"task_id": "Mbpp/3", "solution": "def is_not_prime(n):\n if n <= 1:\n return True\n elif n <= 3:\n return False\n elif n % 2 == 0 or n % 3 == 0:\n return True\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return True\n i += 6\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/12": [{"task_id": "Mbpp/12", "solution": "def sort_matrix(matrix):\n return sorted(matrix, key=sum)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/58": [{"task_id": "Mbpp/58", "solution": "def opposite_Signs(num1, num2):\n return (num1 ^ num2) < 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/57": [{"task_id": "Mbpp/57", "solution": "def find_Max_Num(lst):\n # Convert each element in the list to string\n str_lst = [str(i) for i in lst]\n # Sort the list in descending order\n str_lst.sort(reverse=True)\n # Join the elements in the list to form a string and convert it to integer\n max_num = int(''.join(str_lst))\n return max_num", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/11": [{"task_id": "Mbpp/11", "solution": "def remove_Occ(s, ch):\n first_occurrence = s.find(ch)\n if first_occurrence != -1:\n last_occurrence = s.rfind(ch)\n return s[:first_occurrence] + s[last_occurrence+1:]\n return s", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["abcda", "a"]], "plus_fail_tests": [["aaa", "a"]]}], "Mbpp/4": [{"task_id": "Mbpp/4", "solution": "import heapq\ndef heap_queue_largest(nums, n):\n return heapq.nlargest(n, nums)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/14": [{"task_id": "Mbpp/14", "solution": "def find_Volume(base, height, length):\n # calculate the volume of a triangular prism\n volume = (base * height * length) // 2\n return volume", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[0.5, 0.2, 0.1]]}], "Mbpp/56": [{"task_id": "Mbpp/56", "solution": "def check(n):\n # Convert the number to string to reverse it\n str_n = str(n)\n # Reverse the string\n reversed_str_n = str_n[::-1]\n # Convert the reversed string back to integer\n reversed_n = int(reversed_str_n)\n # Check if the number is one less than twice its reverse\n return n == (2 * reversed_n) - 1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/20": [{"task_id": "Mbpp/20", "solution": "def is_woodall(n):\n # A number is a Woodall number if it is a power of 2 minus 1\n # So, we just need to check if n is a power of 2\n if n <= 0:\n return False\n while n % 2 == 0:\n n = n // 2\n return n == 1", "base_status": "fail", "plus_status": "pass", "base_fail_tests": [[383]], "plus_fail_tests": []}], "Mbpp/59": [{"task_id": "Mbpp/59", "solution": "def nth_octagonal(n):\n return n*(3*n-2)\ndef is_octagonal(n):\n return nth_octagonal(n)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/17": [{"task_id": "Mbpp/17", "solution": "def square_perimeter(side_length):\n return 4 * side_length", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/16": [{"task_id": "Mbpp/16", "solution": "def text_lowercase_underscore(s):\n # Split the string into words\n words = s.split(\"_\")\n\n # Check if all words are lowercase\n for word in words:\n if not word.islower():\n return False\n\n # If all words are lowercase, return True\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/18": [{"task_id": "Mbpp/18", "solution": "def remove_dirty_chars(s1, s2):\n return ''.join([char for char in s1 if char not in s2])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/19": [{"task_id": "Mbpp/19", "solution": "def test_duplicate(arr):\n return len(arr) != len(set(arr))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/7": [{"task_id": "Mbpp/7", "solution": "def find_char_long(s):\n return [word for word in s.split() if len(word) >= 4]", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["This is a very long string with no words that are at least 4 characters long."]]}], "Mbpp/8": [{"task_id": "Mbpp/8", "solution": "def square_nums(nums):\n return [num ** 2 for num in nums]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/9": [{"task_id": "Mbpp/9", "solution": "def find_Rotations(s: str) -> int:\n n = len(s)\n for i in range(1, n):\n if s[i:] + s[:i] == s:\n return i\n return n", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/62": [{"task_id": "Mbpp/62", "solution": "def smallest_num(lst):\n return min(lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/63": [{"task_id": "Mbpp/63", "solution": "def max_difference(tuples):\n max_diff = 0\n for i in range(len(tuples)):\n for j in range(i+1, len(tuples)):\n diff = abs(tuples[i][0] - tuples[j][1])\n if diff > max_diff:\n max_diff = diff\n return max_diff", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[3, 5], [1, 7], [10, 3], [1, 2]]]], "plus_fail_tests": [[[[1000000, 999999], [10000000, 9999999], [100000000, 99999999], [1000000000, 999999999]]]]}], "Mbpp/64": [{"task_id": "Mbpp/64", "solution": "def sort_tuples(tuples):\n return sorted(tuples, key=lambda x: x[1])\n\ndef test_sort_tuples():\n assert sort_tuples([('English', 88), ('Science', 90), ('Maths', 97), ('Social sciences', 82)]) == [('Social sciences', 82), ('English', 88), ('Science', 90), ('Maths', 97)]\n print(\"All tests pass\")\n\ntest_sort_tuples()", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/65": [{"task_id": "Mbpp/65", "solution": "def recursive_list_sum(lst):\n total = 0\n for element in lst:\n if type(element) is list:\n total += recursive_list_sum(element)\n else:\n total += element\n return total", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/72": [{"task_id": "Mbpp/72", "solution": "def dif_Square(n):\n i = 0\n while i*i <= n:\n j = 0\n while j*j <= n:\n if i*i - j*j == n:\n return True\n j += 1\n i += 1\n return False", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[5]], "plus_fail_tests": [[991]]}], "Mbpp/68": [{"task_id": "Mbpp/68", "solution": "def is_Monotonic(arr):\n return all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)) or all(arr[i] >= arr[i + 1] for i in range(len(arr) - 1))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/67": [{"task_id": "Mbpp/67", "solution": "def bell_number(n):\n bell = [[0 for i in range(n+1)] for j in range(n+1)]\n bell[0][0] = 1\n for i in range(1, n+1):\n bell[i][0] = bell[i-1][i-1]\n for j in range(1, i+1):\n bell[i][j] = bell[i-1][j-1] + bell[i][j-1]\n return bell[n][0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/66": [{"task_id": "Mbpp/66", "solution": "def pos_count(lst):\n count = 0\n for num in lst:\n if num > 0:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/75": [{"task_id": "Mbpp/75", "solution": "def find_tuples(tuples_list, k):\n result = []\n for tup in tuples_list:\n if all(i % k == 0 for i in tup):\n result.append(tup)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/71": [{"task_id": "Mbpp/71", "solution": "def comb_sort(lst):\n gap = len(lst)\n shrink = 1.3\n sorted = False\n\n while not sorted:\n gap = int(gap / shrink)\n if gap <= 1:\n gap = 1\n sorted = True\n i = 0\n while i + gap < len(lst):\n if lst[i] > lst[i + gap]:\n lst[i], lst[i + gap] = lst[i + gap], lst[i]\n i += 1\n return lst", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/85": [{"task_id": "Mbpp/85", "solution": "import math\ndef surfacearea_sphere(radius):\n return 4 * math.pi * radius ** 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/77": [{"task_id": "Mbpp/77", "solution": "def is_divisible_by_11(n):\n return n % 11 == 0\n\n# Test cases\nassert is_divisible_by_11(12345) == False", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/69": [{"task_id": "Mbpp/69", "solution": "def is_sublist(main_list, sublist):\n return sublist in main_list", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[2, 4, 3, 5, 7], [4, 3]]], "plus_fail_tests": [[[], []]]}], "Mbpp/82": [{"task_id": "Mbpp/82", "solution": "import math\ndef volume_sphere(radius):\n return (4/3) * math.pi * radius**3", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/70": [{"task_id": "Mbpp/70", "solution": "def get_equal(tuples):\n length = len(tuples[0])\n for t in tuples:\n if len(t) != length:\n return False\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/79": [{"task_id": "Mbpp/79", "solution": "def word_len(word):\n return len(word) % 2 == 1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/74": [{"task_id": "Mbpp/74", "solution": "def is_samepatterns(patterns1, patterns2):\n return patterns1 == patterns2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["red", "green", "green"], ["a", "b", "b"]]], "plus_fail_tests": [[["red", "green", "blue"], ["a", "b", "c"]]]}], "Mbpp/80": [{"task_id": "Mbpp/80", "solution": "def tetrahedral_number(n):\n return n * (n + 1) * (n + 2) // 6", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/86": [{"task_id": "Mbpp/86", "solution": "def centered_hexagonal_number(n):\n return n*(7*n-5)//2 + 1", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[10]], "plus_fail_tests": [[1000000]]}], "Mbpp/90": [{"task_id": "Mbpp/90", "solution": "def len_longest_word(words):\n return max(len(word) for word in words)\n\nassert len_longest_word([\"python\",\"PHP\",\"bigdata\"]) == 7", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/87": [{"task_id": "Mbpp/87", "solution": "def merge_dictionaries_three(dict1, dict2, dict3):\n merged_dict = {**dict1, **dict2, **dict3}\n return merged_dict\ndict1 = { \"R\": \"Red\", \"B\": \"Black\", \"P\": \"Pink\" }\ndict2 = { \"G\": \"Green\", \"W\": \"White\" }\ndict3 = { \"O\": \"Orange\", \"W\": \"White\", \"B\": \"Black\" }", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/88": [{"task_id": "Mbpp/88", "solution": "def freq_count(lst):\n freqs = {}\n for item in lst:\n if item in freqs:\n freqs[item] += 1\n else:\n freqs[item] = 1\n return freqs", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/94": [{"task_id": "Mbpp/94", "solution": "def index_minimum(lst):\n return min(lst, key=lambda x: x[1])[0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/89": [{"task_id": "Mbpp/89", "solution": "def closest_num(n):\n # Convert the number to a string\n num_str = str(n)\n # Split the string into a list of characters\n num_list = list(num_str)\n # Iterate over the list from the end to the beginning\n for i in range(len(num_list) - 1, -1, -1):\n # If the current digit is greater than the next one\n if num_list[i] > num_list[i - 1]:\n # Decrease the next digit by 1\n num_list[i - 1] = str(int(num_list[i - 1]) - 1)\n # Set the current digit to 9\n num_list[i] = '9'\n # If the first digit is 0, remove it\n if num_list[0] == '0':\n num_list = num_list[1:]\n # Join the list back into a string\n result_str = ''.join(num_list)\n # Convert the string back to an integer\n result = int(result_str)\n return result", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[11]], "plus_fail_tests": [[-5]]}], "Mbpp/91": [{"task_id": "Mbpp/91", "solution": "def find_substring(lst, substr):\n for item in lst:\n if substr in item:\n return True\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/92": [{"task_id": "Mbpp/92", "solution": "def is_undulating(n):\n n = str(n)\n if len(n) < 3:\n return False\n diff1 = int(n[1]) - int(n[0])\n for i in range(2, len(n)):\n diff = int(n[i]) - int(n[i-1])\n if diff != diff1:\n return False\n diff1 = diff\n return True", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[1212121]], "plus_fail_tests": [[2121212121212121]]}], "Mbpp/93": [{"task_id": "Mbpp/93", "solution": "def power(a, b):\n return a ** b", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/95": [{"task_id": "Mbpp/95", "solution": "def Find_Min_Length(lst):\n return min(len(sub_lst) for sub_lst in lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/98": [{"task_id": "Mbpp/98", "solution": "import math\ndef multiply_num(lst):\n if len(lst) == 0:\n return 0\n product = 1\n for num in lst:\n product *= num\n return product / len(lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/99": [{"task_id": "Mbpp/99", "solution": "def decimal_to_binary(n):\n return bin(n).replace(\"0b\", \"\")", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/103": [{"task_id": "Mbpp/103", "solution": "def eulerian_num(n, m):\n if m == 0 or m == n:\n return 1\n if n == 0:\n return 0\n return eulerian_num(n - 1, m) + eulerian_num(n, m - 1)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3, 1]], "plus_fail_tests": [[0, 0]]}], "Mbpp/101": [{"task_id": "Mbpp/101", "solution": "def kth_element(arr, k):\n \"\"\"\n This function takes in a list and an integer k as arguments.\n It returns the kth element in the list using 1-based indexing.\n \"\"\"\n return arr[k-1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/100": [{"task_id": "Mbpp/100", "solution": "def next_smallest_palindrome(n):\n while True:\n n += 1\n if str(n) == str(n)[::-1]: # Check if the number is a palindrome\n return n", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/102": [{"task_id": "Mbpp/102", "solution": "def snake_to_camel(snake_str):\n components = snake_str.split('_')\n return ''.join(x.title() for x in components)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["___python_program"]]}], "Mbpp/97": [{"task_id": "Mbpp/97", "solution": "def flatten(lst):\n return [item for sublist in lst for item in sublist]\ndef frequency_lists(lst):\n flattened_list = flatten(lst)\n frequency_dict = {}\n for i in flattened_list:\n if i in frequency_dict:\n frequency_dict[i] += 1\n else:\n frequency_dict[i] = 1\n return frequency_dict", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/96": [{"task_id": "Mbpp/96", "solution": "def divisor(n):\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/61": [{"task_id": "Mbpp/61", "solution": "def count_Substrings(s):\n count = 0\n for length in range(1, len(s) + 1):\n for start in range(0, len(s)):\n if start + length > len(s):\n break\n substring = s[start:start + length]\n if sum(int(digit) for digit in substring) == length:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/104": [{"task_id": "Mbpp/104", "solution": "def sort_sublists(lst):\n return [sorted(sublist) for sublist in lst]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/108": [{"task_id": "Mbpp/108", "solution": "def merge_sorted_list(list1, list2, list3):\n # Merge the lists\n merged_list = list1 + list2 + list3\n # Sort the merged list\n merged_list.sort()\n return merged_list", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/106": [{"task_id": "Mbpp/106", "solution": "def add_lists(lst, tpl):\n return tpl + tuple(lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/111": [{"task_id": "Mbpp/111", "solution": "def common_in_nested_lists(nested_lists):\n # Convert the first list to a set\n common_set = set(nested_lists[0])\n\n # Iterate over the rest of the lists\n for lst in nested_lists[1:]:\n # Update the common set with the intersection of the current list and the common set\n common_set = common_set.intersection(set(lst))\n\n # Convert the common set back to a list and return it\n return list(common_set)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/105": [{"task_id": "Mbpp/105", "solution": "def count(lst):\n return sum(lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/109": [{"task_id": "Mbpp/109", "solution": "def odd_Equivalent(binary_string, rotations):\n # Create a list to store the binary strings after each rotation\n rotated_strings = []\n\n # Perform the rotations\n for _ in range(rotations):\n binary_string = binary_string[-1:] + binary_string[:-1]\n rotated_strings.append(binary_string)\n\n # Count the number of odd equivalent binary strings\n count = 0\n for string in rotated_strings:\n if int(string, 2) % 2 != 0:\n count += 1\n\n return count", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["10000100110011", 5]]}], "Mbpp/116": [{"task_id": "Mbpp/116", "solution": "def tuple_to_int(tup):\n return int(''.join(map(str, tup)))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/118": [{"task_id": "Mbpp/118", "solution": "def string_to_list(s):\n return s.split(\" \")", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/113": [{"task_id": "Mbpp/113", "solution": "def check_integer(s):\n try:\n int(s)\n return True\n except ValueError:\n return False", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[""]]}], "Mbpp/119": [{"task_id": "Mbpp/119", "solution": "def search(nums):\n left, right = 0, len(nums) - 1\n while left < right:\n mid = (left + right) // 2\n if nums[mid] == nums[mid ^ 1]:\n left = mid + 1\n else:\n right = mid\n return nums[left]", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[]]]}], "Mbpp/124": [{"task_id": "Mbpp/124", "solution": "import cmath\nimport math\ndef angle_complex(z):\n \"\"\"\n This function calculates the angle of a complex number.\n \"\"\"\n return cmath.phase(z)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["0.0", "1j"]], "plus_fail_tests": [["0.0", "0j"]]}], "Mbpp/125": [{"task_id": "Mbpp/125", "solution": "def find_length(binary_string):\n max_diff = 0\n count_zero = 0\n count_one = 0\n\n for char in binary_string:\n if char == '0':\n count_zero += 1\n else:\n count_one += 1\n diff = count_one - count_zero\n if diff > max_diff:\n max_diff = diff\n return max_diff", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["11000010001"]], "plus_fail_tests": [["0000000011111111"]]}], "Mbpp/120": [{"task_id": "Mbpp/120", "solution": "def max_product_tuple(lst):\n max_product = float('-inf')\n for tup in lst:\n product = abs(tup[0] * tup[1])\n if product > max_product:\n max_product = product\n return max_product", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/126": [{"task_id": "Mbpp/126", "solution": "def sum_common_divisors(num1, num2):\n def get_divisors(n):\n divisors = [1]\n for i in range(2, n // 2 + 1):\n if n % i == 0:\n divisors.append(i)\n divisors.append(n)\n return divisors\n\n return sum(set(get_divisors(num1)) & set(get_divisors(num2)))\n\n# Test the function\nassert sum_common_divisors(10, 15) == 6", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/127": [{"task_id": "Mbpp/127", "solution": "def multiply_int(a, b):\n return a * b", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/128": [{"task_id": "Mbpp/128", "solution": "def long_words(n, sentence):\n words = sentence.split()\n long_words = [word for word in words if len(word) > n]\n return long_words", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/129": [{"task_id": "Mbpp/129", "solution": "def magic_square_test(matrix):\n # Get the size of the matrix\n size = len(matrix)\n\n # Calculate the sum of the first row\n magic_constant = sum(matrix[0])\n\n # Check rows\n for row in matrix:\n if sum(row) != magic_constant:\n return False\n\n # Check columns\n for i in range(size):\n if sum(row[i] for row in matrix) != magic_constant:\n return False\n\n # Check diagonals\n if sum(matrix[i][i] for i in range(size)) != magic_constant:\n return False\n if sum(matrix[i][size - i - 1] for i in range(size)) != magic_constant:\n return False\n\n # If all checks pass, the matrix is a magic square\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/130": [{"task_id": "Mbpp/130", "solution": "def max_occurrences(lst):\n # Create a dictionary to store the frequency of each item\n freq_dict = {}\n for item in lst:\n if item in freq_dict:\n freq_dict[item] += 1\n else:\n freq_dict[item] = 1\n\n # Find the item with maximum frequency\n max_freq_item = max(freq_dict, key=freq_dict.get)\n return max_freq_item", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/131": [{"task_id": "Mbpp/131", "solution": "def reverse_vowels(s):\n vowels = \"aeiouAEIOU\"\n vowels_in_s = [c for c in s if c in vowels]\n return \"\".join(vowels_in_s[::-1] + [c for c in s if c not in vowels])", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["Python"]], "plus_fail_tests": [["pzpAwF"]]}], "Mbpp/132": [{"task_id": "Mbpp/132", "solution": "def tup_string(tup):\n return ''.join(tup)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/135": [{"task_id": "Mbpp/135", "solution": "def hexagonal_num(n):\n return n*(2*n-1)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/133": [{"task_id": "Mbpp/133", "solution": "def sum_negativenum(numbers):\n return sum(num for num in numbers if num < 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/138": [{"task_id": "Mbpp/138", "solution": "def is_Sum_Of_Powers_Of_Two(n):\n if n < 0:\n return False\n while n > 0:\n if n % 2 == 1:\n n -= 1\n else:\n n /= 2\n return n == 0", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[7]], "plus_fail_tests": [[123456789]]}], "Mbpp/139": [{"task_id": "Mbpp/139", "solution": "import math\ndef circle_circumference(radius):\n return 2 * math.pi * radius", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/141": [{"task_id": "Mbpp/141", "solution": "def pancake_sort(lst):\n for i in range(len(lst), 0, -1):\n max_idx = lst.index(max(lst[:i]))\n if max_idx != i - 1:\n if max_idx != 0:\n lst[:i] = lst[max_idx::-1] + lst[i:]\n lst[:i] = lst[i - 1::-1] + lst[i:]\n return lst", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[15, 79, 25, 38, 69]]], "plus_fail_tests": [[[54, 28, 91, 12, 78, 37, 66, 42, 84, 59]]]}], "Mbpp/137": [{"task_id": "Mbpp/137", "solution": "import math\ndef zero_count(arr):\n zero_count = arr.count(0)\n non_zero_count = len(arr) - zero_count\n return zero_count / non_zero_count", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]]}], "Mbpp/161": [{"task_id": "Mbpp/161", "solution": "def remove_elements(lst1, lst2):\n return [i for i in lst1 if i not in lst2]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/140": [{"task_id": "Mbpp/140", "solution": "def extract_singly(lst):\n result = []\n for sublist in lst:\n for item in sublist:\n result.append(item)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/145": [{"task_id": "Mbpp/145", "solution": "def max_Abs_Diff(arr):\n return max(abs(a - b) for a, b in zip(arr, arr[1:]))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[9, 3, 2, 5, 1]]], "plus_fail_tests": [[[1]]]}], "Mbpp/142": [{"task_id": "Mbpp/142", "solution": "def count_samepair(list1, list2, list3):\n count = 0\n for i in range(len(list1)):\n if list1[i] == list2[i] == list3[i]:\n count += 1\n return count", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 5], [1, 2, 3, 4, 5, 6, 7, 8]]]}], "Mbpp/165": [{"task_id": "Mbpp/165", "solution": "def count_char_position(s):\n s = s.lower()\n return sum(1 for i in range(len(s)) if s[i] == chr(97 + i))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/166": [{"task_id": "Mbpp/166", "solution": "def find_even_pair(lst):\n count = 0\n for i in range(len(lst)):\n for j in range(i+1, len(lst)):\n if lst[i] ^ lst[j] % 2 == 0:\n count += 1\n return count", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[5, 4, 7, 2, 1]]], "plus_fail_tests": [[[1, 3, 5, 7, 9, 2, 4, 6, 8, 10]]]}], "Mbpp/167": [{"task_id": "Mbpp/167", "solution": "def next_power_of_2(n):\n if n <= 0:\n return 1\n else:\n return 2 ** (n - 1).bit_length()", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/168": [{"task_id": "Mbpp/168", "solution": "def frequency(lst, num):\n return lst.count(num)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/170": [{"task_id": "Mbpp/170", "solution": "def sum_range_list(lst, start, end):\n return sum(lst[start:end+1])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/171": [{"task_id": "Mbpp/171", "solution": "def perimeter_pentagon(side_length):\n return 5 * side_length", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/172": [{"task_id": "Mbpp/172", "solution": "def count_occurance(s):\n return s.count('std')", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/222": [{"task_id": "Mbpp/222", "solution": "def check_type(tup):\n return all(isinstance(x, type(tup[0])) for x in tup)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/223": [{"task_id": "Mbpp/223", "solution": "def is_majority(arr, n, elm):\n count = arr.count(elm)\n if count > n / 2:\n return True\n else:\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/224": [{"task_id": "Mbpp/224", "solution": "def count_Set_Bits(n):\n return bin(n).count('1')", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/226": [{"task_id": "Mbpp/226", "solution": "def odd_values_string(s):\n return s[::2]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/233": [{"task_id": "Mbpp/233", "solution": "import math", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/230": [{"task_id": "Mbpp/230", "solution": "def replace_blank(s, c):\n return s.replace(' ', c)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/234": [{"task_id": "Mbpp/234", "solution": "def volume_cube(side_length):\n \"\"\"\n This function calculates the volume of a cube given its side length.\n \"\"\"\n return side_length ** 3", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/227": [{"task_id": "Mbpp/227", "solution": "def min_of_three(a, b, c):\n return min(a, b, c)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/232": [{"task_id": "Mbpp/232", "solution": "def larg_num(lst, n):\n # Sort the list in descending order\n lst.sort(reverse=True)\n # Return the first n elements\n return lst[:n]\n\n# Test the function\nassert set(larg_num([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100], 2)) == set([100, 90])", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/237": [{"task_id": "Mbpp/237", "solution": "def check_occurences(lst):\n count_dict = {}\n for tup in lst:\n if tup in count_dict:\n count_dict[tup] += 1\n else:\n count_dict[tup] = 1\n return count_dict", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[3, 1], [1, 3], [2, 5], [5, 2], [6, 3]]]], "plus_fail_tests": [[[[2, 2], [1, 3], [2, 2], [3, 1], [1, 3]]]]}], "Mbpp/235": [{"task_id": "Mbpp/235", "solution": "def even_bit_set_number(n):\n binary = bin(n)[2:] # Convert to binary and remove '0b' prefix\n binary = '0' + binary # Add leading zero to make it 1-indexed\n binary = list(binary) # Convert to list for easy manipulation\n\n for i in range(0, len(binary), 2): # Go through every even index\n binary[i] = '1' # Set bit to 1\n\n return int(''.join(binary), 2) # Convert back to integer and return", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[10]], "plus_fail_tests": [[999999999]]}], "Mbpp/162": [{"task_id": "Mbpp/162", "solution": "def sum_series(n):\n total = 0\n while n > 0:\n total += n\n n -= 2\n return total", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/238": [{"task_id": "Mbpp/238", "solution": "def number_of_substrings(s):\n n = len(s)\n return n * (n + 1) // 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/240": [{"task_id": "Mbpp/240", "solution": "def replace_list(list1, list2):\n list1[-1:] = list2\n return list1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/242": [{"task_id": "Mbpp/242", "solution": "def count_charac(string):\n return len(string)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/244": [{"task_id": "Mbpp/244", "solution": "def next_Perfect_Square(n):\n # Calculate the square root of the given number\n root = n ** 0.5\n\n # If the square root is not an integer, increment it by 1\n if not root.is_integer():\n root = int(root) + 1\n else:\n root = int(root)\n\n # Return the square of the root\n return root ** 2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[9]], "plus_fail_tests": [[-5]]}], "Mbpp/250": [{"task_id": "Mbpp/250", "solution": "def count_X(tup, elem):\n return tup.count(elem)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/245": [{"task_id": "Mbpp/245", "solution": "def max_sum(arr):\n n = len(arr)\n if n < 3:\n return sum(arr)\n\n # Initialize variables\n inc = [0]*n\n dec = [0]*n\n\n # Calculate increasing subsequence values\n for i in range(1, n):\n for j in range(i):\n if arr[i] > arr[j] and inc[i] < inc[j] + arr[i]:\n inc[i] = inc[j] + arr[i]\n if inc[i] == 0:\n inc[i] = arr[i]\n\n # Calculate decreasing subsequence values\n for i in range(n-2, -1, -1):\n for j in range(n-1, i, -1):\n if arr[i] > arr[j] and dec[i] < dec[j] + arr[i]:\n dec[i] = dec[j] + arr[i]\n if dec[i] == 0:\n dec[i] = arr[i]\n\n # Find maximum sum of bitonic subsequence\n bitonic = [0]*n\n for i in range(n):\n bitonic[i] = inc[i] + dec[i] - arr[i]\n\n return max(bitonic)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 15, 51, 45, 33, 100, 12, 18, 9]]], "plus_fail_tests": [[[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]]]}], "Mbpp/251": [{"task_id": "Mbpp/251", "solution": "def insert_element(lst, element):\n result = []\n for i in lst:\n result.extend([element, i])\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/252": [{"task_id": "Mbpp/252", "solution": "import cmath\ndef convert(complex_num):\n \"\"\"\n This function converts a complex number to polar coordinates.\n \"\"\"\n # Convert the complex number to polar coordinates using cmath.polar\n r, phi = cmath.polar(complex_num)\n # Return the polar coordinates as a tuple\n return (r, phi)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/253": [{"task_id": "Mbpp/253", "solution": "def count_integer(lst):\n return sum(1 for i in lst if isinstance(i, int))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/247": [{"task_id": "Mbpp/247", "solution": "def lps(s):\n n = len(s)\n dp = [[0]*n for _ in range(n)]\n for i in range(n-1, -1, -1):\n dp[i][i] = 1\n for j in range(i+1, n):\n if s[i] == s[j]:\n dp[i][j] = 2 + dp[i+1][j-1]\n else:\n dp[i][j] = max(dp[i+1][j], dp[i][j-1])\n return dp[0][n-1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/160": [{"task_id": "Mbpp/160", "solution": "def find_solution(a, b, n):\n for x in range(n+1):\n for y in range(n+1):\n if a*x + b*y == n:\n return (x, y)\n return None", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[499, 499, 4000]]}], "Mbpp/239": [{"task_id": "Mbpp/239", "solution": "def get_total_number_of_sequences(m, n):\n # Initialize a list to store the sequences\n sequences = [[[i]] for i in range(1, min(m, n) + 1)]\n\n # Iterate over the length of the sequences\n for j in range(1, n):\n # Iterate over the possible starting numbers\n for i in range(1, m + 1):\n # Iterate over the sequences of length j\n for seq in sequences[j - 1]:\n # If the last number in the sequence is less than i, add a new sequence\n if seq[-1] < i:\n sequences[j].append(seq + [i])\n\n # Return the total number of sequences\n return len(sequences[-1])", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[10, 4]], "plus_fail_tests": [[100, 10]]}], "Mbpp/123": [{"task_id": "Mbpp/123", "solution": "def d(n):\n \"\"\"\n Function to calculate the sum of proper divisors of a number\n \"\"\"\n sum = 1\n i = 2\n while i * i <= n:\n if n % i:\n i += 1\n else:\n if i * (n // i) == n:\n sum = sum + i + n//i\n else:\n sum = sum + i\n i += 1\n return sum\ndef amicable_numbers_sum(limit):\n \"\"\"\n Function to calculate the sum of all amicable numbers up to a specified limit\n \"\"\"\n sum = 0\n for i in range(1, limit):\n if d(d(i)) == i and d(i) != i:\n sum += i\n return sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/84": [{"task_id": "Mbpp/84", "solution": "def newman_conway(n):\n if n == 1:\n return \"1\"\n if n == 2:\n return \"1 1\"\n sequence = [1, 1]\n for i in range(2, n):\n sequence.append(sequence[sequence[i-1]-1] + sequence[i-sequence[i-1]])\n return ' '.join(map(str, sequence))\ndef sequence(n):\n return int(newman_conway(n).split()[-1])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/269": [{"task_id": "Mbpp/269", "solution": "def ascii_value(char):\n return ord(char)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/267": [{"task_id": "Mbpp/267", "solution": "def square_Sum(n):\n sum = 0\n for i in range(1, 2*n, 2):\n sum += i*i\n return sum", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[1000000.0]]}], "Mbpp/264": [{"task_id": "Mbpp/264", "solution": "def dog_age(human_years):\n if human_years <= 2:\n return human_years * 10.5\n else:\n return 21 + (human_years - 2) * 4", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/257": [{"task_id": "Mbpp/257", "solution": "def swap_numbers(a, b):\n return b, a", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/256": [{"task_id": "Mbpp/256", "solution": "def count_Primes_nums(n):\n if n < 2:\n return 0\n primes = [True] * n\n p = 2\n while p * p <= n:\n if primes[p]:\n for i in range(p * p, n, p):\n primes[i] = False\n p += 1\n return sum(primes) - 2 # subtract 2 to exclude 0 and 1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/274": [{"task_id": "Mbpp/274", "solution": "def even_binomial_Coeff_Sum(n):\n # Initialize the sum to 0\n sum = 0\n # Loop through the range of n\n for i in range(n+1):\n # Check if the index is even\n if i % 2 == 0:\n # Calculate the binomial coefficient and add it to the sum\n sum += binomial_coefficient(n, i)\n return sum\ndef binomial_coefficient(n, k):\n # Calculate the binomial coefficient using the formula nCk = n! / [(n-k)! * k!]\n return factorial(n) / (factorial(n-k) * factorial(k))\ndef factorial(n):\n # Calculate the factorial of a number using a loop\n if n == 0:\n return 1\n else:\n fact = 1\n for i in range(1, n+1):\n fact *= i\n return fact", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[101]]}], "Mbpp/268": [{"task_id": "Mbpp/268", "solution": "def find_star_num(n):\n return n*(7*n - 5)//2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[1000000]]}], "Mbpp/277": [{"task_id": "Mbpp/277", "solution": "def dict_filter(d, n):\n return {k: v for k, v in d.items() if v >= n}", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/276": [{"task_id": "Mbpp/276", "solution": "import math\ndef volume_cylinder(radius, height):\n return math.pi * radius**2 * height", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/260": [{"task_id": "Mbpp/260", "solution": "def newman_prime(n):\n def is_prime(num):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n count = 0\n num = 2\n while True:\n if is_prime(num):\n count += 1\n if count == n:\n return num\n num += 1", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[100]]}], "Mbpp/259": [{"task_id": "Mbpp/259", "solution": "def maximize_elements(t1, t2):\n return tuple(max(a, b) for a, b in zip(t1, t2))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[1, 3], [4, 5], [2, 9], [1, 10]], [[6, 7], [3, 9], [1, 1], [7, 3]]]], "plus_fail_tests": [[[[1, 2], [3, 4], [5, 6], [7, 8], [7, 8]], [[7, 7], [8, 7], [6, 5], [4, 3], [2, 1]]]]}], "Mbpp/270": [{"task_id": "Mbpp/270", "solution": "def sum_even_and_even_index(lst):\n return sum(val for idx, val in enumerate(lst) if idx % 2 == 0 and val % 2 == 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/261": [{"task_id": "Mbpp/261", "solution": "def division_elements(t1, t2):\n return tuple(map(lambda x, y: x / y, t1, t2))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/272": [{"task_id": "Mbpp/272", "solution": "def rear_extract(lst):\n return [i[-1] for i in lst]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/262": [{"task_id": "Mbpp/262", "solution": "def split_two_parts(lst, L):\n return (lst[:L], lst[L:])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/265": [{"task_id": "Mbpp/265", "solution": "def list_split(lst, n):\n return [lst[i:i + n] for i in range(0, len(lst), n)]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n"], 3]], "plus_fail_tests": [[[], 1]]}], "Mbpp/266": [{"task_id": "Mbpp/266", "solution": "def lateralsurface_cube(side_length):\n return 4 * side_length ** 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/273": [{"task_id": "Mbpp/273", "solution": "def substract_elements(t1, t2):\n return tuple(x1 - x2 for x1, x2 in zip(t1, t2))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/279": [{"task_id": "Mbpp/279", "solution": "def is_num_decagonal(n):\n return n*(7*n-5)//2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[1000000]]}], "Mbpp/278": [{"task_id": "Mbpp/278", "solution": "def count_first_elements(tup):\n count = 0\n for i in tup:\n if isinstance(i, tuple):\n break\n count += 1\n return count", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[1, 2, 3, 4, 5, 6]]]}], "Mbpp/282": [{"task_id": "Mbpp/282", "solution": "def sub_list(list1, list2):\n return [a - b for a, b in zip(list1, list2)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/280": [{"task_id": "Mbpp/280", "solution": "def sequential_search(array, element):\n for i in range(len(array)):\n if array[i] == element:\n return (True, i)\n return (False, -1)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/281": [{"task_id": "Mbpp/281", "solution": "def all_unique(lst):\n return len(lst) == len(set(lst))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/290": [{"task_id": "Mbpp/290", "solution": "def max_length(lst):\n max_len = max(len(sub_lst) for sub_lst in lst)\n max_sub_lst = [sub_lst for sub_lst in lst if len(sub_lst) == max_len]\n return max_len, max_sub_lst[0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/292": [{"task_id": "Mbpp/292", "solution": "def find(num1, num2):\n return num1 // num2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/287": [{"task_id": "Mbpp/287", "solution": "def square_Sum(n):\n sum = 0\n for i in range(1, n+1):\n sum += i*i\n return sum*2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[2]], "plus_fail_tests": [[100]]}], "Mbpp/285": [{"task_id": "Mbpp/285", "solution": "import re\ndef text_match_two_three(text):\n pattern = 'ab{2,3}'\n if re.search(pattern, text):\n return True\n else:\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/297": [{"task_id": "Mbpp/297", "solution": "def flatten_list(nested_list):\n flat_list = []\n for i in nested_list:\n if isinstance(i, list):\n flat_list.extend(flatten_list(i))\n else:\n flat_list.append(i)\n return flat_list", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/286": [{"task_id": "Mbpp/286", "solution": "def max_sub_array_sum_repeated(arr, k, n):\n # Calculate the sum of the array\n total_sum = sum(arr)\n\n # Calculate the sum of the array repeated k times\n repeated_sum = total_sum * k\n\n # Calculate the maximum subarray sum using Kadane's algorithm\n max_sum = current_sum = repeated_sum\n for i in range(n):\n current_sum = max(arr[i], current_sum + arr[i])\n max_sum = max(max_sum, current_sum)\n\n return max_sum", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-1, 10, 20], 3, 2]], "plus_fail_tests": [[[5, -2, 10, 4, -7, 3], 6, 5]]}], "Mbpp/293": [{"task_id": "Mbpp/293", "solution": "import math\ndef otherside_rightangle(base, height):\n \"\"\"\n This function calculates the length of the third side of a right-angled triangle.\n It takes two arguments: base and height of the right-angled triangle.\n It returns the length of the third side.\n \"\"\"\n return math.sqrt(base**2 + height**2)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/283": [{"task_id": "Mbpp/283", "solution": "def validate(n):\n # Convert the integer to a string to easily access each digit\n str_n = str(n)\n # Iterate over each digit in the string representation of the integer\n for digit in str_n:\n # Count the number of times the digit appears in the string representation of the integer\n count = str_n.count(digit)\n # If the count is greater than the digit itself, return False\n if count > int(digit):\n return False\n # If we've gone through all the digits without finding a count that's greater than the digit, return True\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/296": [{"task_id": "Mbpp/296", "solution": "def get_Inv_Count(arr):\n inv_count = 0\n for i in range(len(arr)):\n for j in range(i + 1, len(arr)):\n if arr[i] > arr[j]:\n inv_count += 1\n return inv_count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/284": [{"task_id": "Mbpp/284", "solution": "def check_element(lst, elm):\n return all(i == elm for i in lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/294": [{"task_id": "Mbpp/294", "solution": "def max_val(lst):\n max_value = None\n for item in lst:\n if isinstance(item, int) or isinstance(item, float):\n if max_value is None or item > max_value:\n max_value = item\n return max_value", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[["3.14", false, 7.5]]]}], "Mbpp/300": [{"task_id": "Mbpp/300", "solution": "def count_binary_seq(n):\n # Initialize a list to store the count of binary sequences\n # for each possible sum of the first n bits\n counts = [0] * (2*n + 1)\n\n # Initialize the count of binary sequences for n=0\n counts[0] = 1\n\n # Iterate over each bit position from 0 to 2n-1\n for _ in range(2*n):\n # Iterate over each possible sum of the first n bits\n for j in range(2*n, -1, -1):\n # Update the count of binary sequences for the next bit position\n counts[j] = counts[j] * 2 + (counts[j-1] if j > 0 else 0)\n\n # Return the count of binary sequences where the sum of the first n bits is the same as the sum of the last n bits\n return counts[n]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[1]], "plus_fail_tests": [[4]]}], "Mbpp/299": [{"task_id": "Mbpp/299", "solution": "def max_aggregate(lst):\n # Create a dictionary to store the sum of scores for each name\n scores = {}\n for name, score in lst:\n if name in scores:\n scores[name] += score\n else:\n scores[name] = score\n\n # Find the name with the maximum score\n max_score = max(scores.values())\n max_name = [name for name, score in scores.items() if score == max_score][0]\n\n return (max_name, max_score)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/301": [{"task_id": "Mbpp/301", "solution": "def dict_depth(d):\n if not isinstance(d, dict) or not d:\n return 1\n return 1 + max(dict_depth(v) for v in d.values())", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[{"a": 1, "b": {"c": "python"}}]], "plus_fail_tests": [[{"1": null, "2": {"3": [1, 2, 3, "four", {"five": []}]}}]]}], "Mbpp/305": [{"task_id": "Mbpp/305", "solution": "def start_withp(words_list):\n for words in words_list:\n for word in words.split():\n if word.lower().startswith('p'):\n return word,", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["Python PHP", "Java JavaScript", "c c++"]]], "plus_fail_tests": [[["Python Programming", "Java Programming", "Perl Programming", "Ruby Programming", "PHP Programming", "C Programming"]]]}], "Mbpp/308": [{"task_id": "Mbpp/308", "solution": "def large_product(list1, list2, n):\n products = [(x * y) for x in list1 for y in list2]\n products.sort(reverse=True)\n return products[:n]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/311": [{"task_id": "Mbpp/311", "solution": "def set_left_most_unset_bit(n):\n if n == 0:\n return 1\n if n % 2 == 1:\n return n\n else:\n return n + 1", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[10]], "plus_fail_tests": [[125]]}], "Mbpp/306": [{"task_id": "Mbpp/306", "solution": "def max_sum_increasing_subseq(arr, n, k, i):\n # Initialize the dp array with the given array values\n dp = arr[:]\n # Initialize the max_sum variable with the value at the kth index\n max_sum = arr[k]\n # Iterate over the array from the (i+1)th index to the end\n for j in range(i+1, n):\n # Iterate over the array from the 0th index to the (i-1)th index\n for x in range(0, i):\n # If the current element is greater than the (i-1)th element and the sum of the dp[x] and the current element is greater than the dp[j]\n if arr[j] > arr[x] and dp[x] + arr[j] > dp[j]:\n # Update the dp[j] with the new sum\n dp[j] = dp[x] + arr[j]\n # Update the max_sum with the maximum of the current max_sum and the dp[j]\n max_sum = max(max_sum, dp[j])\n # Return the max_sum\n return max_sum", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 101, 2, 3, 100, 4, 5], 7, 4, 6]], "plus_fail_tests": [[[5, 2, 4, 1, 3, 6], 6, 1, 3]]}], "Mbpp/309": [{"task_id": "Mbpp/309", "solution": "def maximum(num1, num2):\n if num1 > num2:\n return num1\n else:\n return num2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/312": [{"task_id": "Mbpp/312", "solution": "import math\ndef volume_cone(radius, height):\n return (1/3) * math.pi * radius**2 * height", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/310": [{"task_id": "Mbpp/310", "solution": "def string_to_tuple(s):\n return tuple(s)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["python 3.0"]], "plus_fail_tests": [["hello world"]]}], "Mbpp/390": [{"task_id": "Mbpp/390", "solution": "def add_string(lst, fmt_str):\n return [fmt_str.format(i) for i in lst]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/392": [{"task_id": "Mbpp/392", "solution": "def get_max_sum(n):\n if n <= 1:\n return n\n else:\n return max(get_max_sum(n/2) + get_max_sum(n/3) + get_max_sum(n/4) + get_max_sum(n/5), n)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[60]], "plus_fail_tests": [[100]]}], "Mbpp/391": [{"task_id": "Mbpp/391", "solution": "def convert_list_dictionary(keys, names, values):\n result = []\n for i in range(len(keys)):\n temp_dict = {keys[i]: {names[i]: values[i]}}\n result.append(temp_dict)\n return result\nkeys = [\"S001\", \"S002\", \"S003\", \"S004\"]\nnames = [\"Adina Park\", \"Leyton Marsh\", \"Duncan Boyle\", \"Saim Richards\"]\nvalues = [85, 98, 89, 92]", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[["S001", "S002", "S003", "S004"], ["Adina Park", "Leyton Marsh", "Duncan Boyle", "Saim Richards"], [[1, 2, 3], [4, 5, 6], {"a": "x", "b": "y", "c": "z"}]]]}], "Mbpp/394": [{"task_id": "Mbpp/394", "solution": "def check_distinct(tup):\n return len(tup) == len(set(tup))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/395": [{"task_id": "Mbpp/395", "solution": "def first_non_repeating_character(s):\n char_count = {}\n for char in s:\n if char in char_count:\n char_count[char] += 1\n else:\n char_count[char] = 1\n for char in s:\n if char_count[char] == 1:\n return char\n return None", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/397": [{"task_id": "Mbpp/397", "solution": "def median_numbers(a, b, c):\n \"\"\"\n This function takes three numbers as input and returns their median.\n \"\"\"\n # Sort the numbers\n numbers = sorted([a, b, c])\n \n # Return the middle number\n return numbers[1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/389": [{"task_id": "Mbpp/389", "solution": "def find_lucas(n):\n if n == 0:\n return 2\n if n == 1:\n return 1\n lucas_numbers = [2, 1]\n for i in range(2, n + 1):\n lucas_numbers.append(lucas_numbers[i - 1] + lucas_numbers[i - 2])\n return lucas_numbers[n]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/388": [{"task_id": "Mbpp/388", "solution": "def highest_Power_of_2(n):\n i = 0\n while 2 ** i <= n:\n i += 1\n return 2 ** (i - 1)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/404": [{"task_id": "Mbpp/404", "solution": "def minimum(a, b):\n if a < b:\n return a\n else:\n return b", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/398": [{"task_id": "Mbpp/398", "solution": "def sum_of_digits(lst):\n return [sum(int(digit) for digit in str(num)) for num in lst]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[10, 2, 56]]], "plus_fail_tests": [[[]]]}], "Mbpp/405": [{"task_id": "Mbpp/405", "solution": "def check_tuplex(tuplex, element):\n return element in tuplex", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/406": [{"task_id": "Mbpp/406", "solution": "def find_Parity(n):\n return n % 2 != 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/410": [{"task_id": "Mbpp/410", "solution": "def min_val(lst):\n # Filter out non-numeric values and find the minimum\n min_val = min([i for i in lst if isinstance(i, (int, float))])\n return min_val", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[["Python", 10, 5, 2.5, 2.5, "version"]]]}], "Mbpp/409": [{"task_id": "Mbpp/409", "solution": "def min_product_tuple(lst):\n return min(x*y for x, y in lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/415": [{"task_id": "Mbpp/415", "solution": "def max_Product(arr):\n arr.sort()\n return (arr[-1], arr[-2]) if arr[-1] * arr[-2] > arr[0] * arr[1] else (arr[0], arr[1])", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 3, 4, 7, 0, 8, 4]]], "plus_fail_tests": [[[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]]]}], "Mbpp/419": [{"task_id": "Mbpp/419", "solution": "def round_and_sum(numbers):\n rounded_numbers = [round(num) for num in numbers]\n total_sum = sum(rounded_numbers)\n result = total_sum * len(rounded_numbers)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/414": [{"task_id": "Mbpp/414", "solution": "def overlapping(seq1, seq2):\n for i in seq1:\n if i in seq2:\n return True\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/422": [{"task_id": "Mbpp/422", "solution": "def find_Average_Of_Cube(n):\n sum_of_cubes = sum([i**3 for i in range(1, n+1)])\n average = sum_of_cubes / n\n return average", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/412": [{"task_id": "Mbpp/412", "solution": "def remove_odd(numbers):\n return [num for num in numbers if num % 2 == 0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/413": [{"task_id": "Mbpp/413", "solution": "def extract_nth_element(lst, n):\n return [x[n] for x in lst]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/424": [{"task_id": "Mbpp/424", "solution": "def extract_rear(tup):\n return [s[-1] for s in tup]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/418": [{"task_id": "Mbpp/418", "solution": "def Find_Max(lst):\n max_len = max(len(sublist) for sublist in lst)\n for sublist in lst:\n if len(sublist) == max_len:\n return sublist", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/420": [{"task_id": "Mbpp/420", "solution": "def cube_Sum(n):\n sum = 0\n for i in range(1, n+1):\n sum += i*2*i\n return sum", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[2]], "plus_fail_tests": [[100]]}], "Mbpp/421": [{"task_id": "Mbpp/421", "solution": "def concatenate_tuple(tup):\n return '-'.join(str(i) for i in tup)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/425": [{"task_id": "Mbpp/425", "solution": "def count_element_in_list(lst, element):\n count = 0\n for sublist in lst:\n if element in sublist:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/426": [{"task_id": "Mbpp/426", "solution": "def filter_oddnumbers(numbers):\n return [num for num in numbers if num % 2 == 0]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]]], "plus_fail_tests": [[[-5, 0, 5, -10, 15, 20, -25, 30]]]}], "Mbpp/427": [{"task_id": "Mbpp/427", "solution": "def change_date_format(date):\n # Split the date into year, month, and day\n year, month, day = date.split('-')\n # Return the date in the desired format\n return '{}-{}-{}'.format(day, month, year)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["2021-1-026"]]}], "Mbpp/428": [{"task_id": "Mbpp/428", "solution": "def shell_sort(arr):\n n = len(arr)\n gap = n//2\n\n while gap > 0:\n for i in range(gap,n):\n temp = arr[i]\n j = i\n while j >= gap and arr[j-gap] >temp:\n arr[j] = arr[j-gap]\n j -= gap\n arr[j] = temp\n gap //= 2\n return arr", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/429": [{"task_id": "Mbpp/429", "solution": "def and_tuples(t1, t2):\n return tuple(x & y for x, y in zip(t1, t2))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/430": [{"task_id": "Mbpp/430", "solution": "def parabola_directrix(a, h, k):\n \"\"\"\n Function to find the directrix of a parabola.\n The directrix of a parabola is the line that is perpendicular to the x-axis and intersects the parabola at its vertex.\n The equation of a parabola is y = a*(x-h)^2 + k.\n The equation of the directrix is x = h.\n The function takes three parameters: a, h, and k.\n It returns the y-coordinate of the directrix.\n \"\"\"\n return a * (h - h) ** 2 + k", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[5, 3, 2]], "plus_fail_tests": [[3, 3, 3]]}], "Mbpp/432": [{"task_id": "Mbpp/432", "solution": "def median_trapezium(a, b, c):\n \"\"\"\n This function calculates the median length of a trapezium.\n The median of a trapezium is the length of the line segment that divides the trapezium into two equal parts.\n The lengths of the parallel sides of the trapezium are given by a, b, and c.\n The median is calculated as (a+b+c)/2.\n \"\"\"\n return (a + b + c) / 2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[15, 25, 35]], "plus_fail_tests": [[2.3, 4.7, 3.9]]}], "Mbpp/433": [{"task_id": "Mbpp/433", "solution": "def check_greater(arr, num):\n for i in arr:\n if i <= num:\n return False\n return True", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[2, 3, 4, 5, 6], 8]], "plus_fail_tests": [[[1, 2, 3, 4, 5], 6]]}], "Mbpp/435": [{"task_id": "Mbpp/435", "solution": "def last_Digit(n):\n return n % 10", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[-987]]}], "Mbpp/441": [{"task_id": "Mbpp/441", "solution": "def surfacearea_cube(side_length):\n return 6 * side_length ** 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/437": [{"task_id": "Mbpp/437", "solution": "def remove_odd(s):\n return s[::2]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["python"]], "plus_fail_tests": [["Hello, world!"]]}], "Mbpp/445": [{"task_id": "Mbpp/445", "solution": "def index_multiplication(tuples):\n tuple1, tuple2 = tuples\n result = []\n for i in range(len(tuple1)):\n result.append(tuple(a*b for a, b in zip(tuple1[i], tuple2[i])))\n return tuple(result)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[1, 3], [4, 5], [2, 9], [1, 10]], [[6, 7], [3, 9], [1, 1], [7, 3]]]], "plus_fail_tests": [[[[1, 1], [2, 2], [3, 3], [4, 4]], [[5, 5], [6, 6], [7, 7], [8, 8]]]]}], "Mbpp/448": [{"task_id": "Mbpp/448", "solution": "def cal_sum(n):\n # Initialize the first three Perrin numbers\n perrin = [3, 0, 2]\n \n # Calculate the rest of the Perrin numbers\n for i in range(3, n):\n perrin.append(perrin[i-2] + perrin[i-1] + 1)\n \n # Return the sum of the first n Perrin numbers\n return sum(perrin[:n])", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[9]], "plus_fail_tests": [[-5]]}], "Mbpp/439": [{"task_id": "Mbpp/439", "solution": "def multiple_to_single(nums):\n return int(''.join(map(str, nums)))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/436": [{"task_id": "Mbpp/436", "solution": "def neg_nos(lst):\n return [num for num in lst if num < 0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/446": [{"task_id": "Mbpp/446", "solution": "def count_Occurrence(tup, lst):\n count = 0\n for element in lst:\n count += tup.count(element)\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/447": [{"task_id": "Mbpp/447", "solution": "def cube_nums(nums):\n return [num**3 for num in nums]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/450": [{"task_id": "Mbpp/450", "solution": "def extract_string(lst, size):\n return [s for s in lst if len(s) == size]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/440": [{"task_id": "Mbpp/440", "solution": "import nltk\nfrom nltk.tokenize import word_tokenize\nfrom nltk.corpus import stopwords\ndef find_adverb_position(sentence):\n stop_words = set(stopwords.words('english'))\n words = word_tokenize(sentence)\n pos_tags = nltk.pos_tag(words)\n\n for i in range(len(pos_tags)):\n word, tag = pos_tags[i]\n if tag in ['RB', 'RBR', 'RBS', 'WRB'] and word not in stop_words:\n return i, i+1, word\n\n return None", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/451": [{"task_id": "Mbpp/451", "solution": "def remove_whitespaces(input_string):\n return input_string.replace(\" \", \"\")", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/454": [{"task_id": "Mbpp/454", "solution": "import re\ndef text_match_wordz(text):\n pattern = r'\\b\\w*z\\w*\\b'\n if re.search(pattern, text):\n return True\n else:\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/456": [{"task_id": "Mbpp/456", "solution": "def reverse_string_list(lst):\n return [s[::-1] for s in lst]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/455": [{"task_id": "Mbpp/455", "solution": "def check_month_number(month_number):\n # Months with 31 days: January, March, May, July, August, October, December\n thirty_one_days_months = [1, 3, 5, 7, 8, 10, 12]\n if month_number in thirty_one_days_months:\n return True\n else:\n return False\n\n# Test the function\nassert check_month_number(5) == True", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/457": [{"task_id": "Mbpp/457", "solution": "def Find_Min(lst):\n return min(lst, key=len)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/458": [{"task_id": "Mbpp/458", "solution": "def rectangle_area(length, width):\n \"\"\"\n This function calculates the area of a rectangle.\n \"\"\"\n return length * width", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/459": [{"task_id": "Mbpp/459", "solution": "def remove_uppercase(s):\n return ''.join([c for c in s if not c.isupper()])", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["ThiS%^%!s&a(mY)TesTStR%i*ng"]]}], "Mbpp/465": [{"task_id": "Mbpp/465", "solution": "def drop_empty(d):\n return {k: v for k, v in d.items() if v is not None}", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/460": [{"task_id": "Mbpp/460", "solution": "def Extract(lst):\n return [sublist[0] for sublist in lst]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/468": [{"task_id": "Mbpp/468", "solution": "def max_product(arr):\n n = len(arr)\n if n < 2:\n return None\n\n max_ending_here = max_ending_so_far = arr[0]\n for i in range(1, n):\n if arr[i] < 0:\n max_ending_here, max_ending_so_far = max_ending_so_far, max_ending_here\n max_ending_here = max(arr[i], max_ending_here * arr[i])\n max_ending_so_far = max(max_ending_so_far, max_ending_here)\n\n return max_ending_so_far", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[3, 100, 4, 5, 150, 6]]], "plus_fail_tests": [[[-3, -100, -4, -5, -150, -6]]]}], "Mbpp/463": [{"task_id": "Mbpp/463", "solution": "def max_subarray_product(nums):\n if not nums:\n return 0\n\n max_product = min_product = result = nums[0]\n\n for i in range(1, len(nums)):\n if nums[i] < 0:\n max_product, min_product = min_product, max_product\n\n max_product = max(nums[i], max_product * nums[i])\n min_product = min(nums[i], min_product * nums[i])\n\n result = max(result, max_product)\n\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/472": [{"task_id": "Mbpp/472", "solution": "def check_Consecutive(lst):\n return sorted(lst) == list(range(min(lst), max(lst)+1))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/473": [{"task_id": "Mbpp/473", "solution": "def tuple_intersection(tuples1, tuples2):\n # Convert tuples to sets and find intersection\n set1 = set(tuples1)\n set2 = set(tuples2)\n intersection = set1 & set2\n\n # Convert sets back to tuples and return\n return set(intersection)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[3, 4], [5, 6], [9, 10], [4, 5]], [[5, 4], [3, 4], [6, 5], [9, 11]]]], "plus_fail_tests": [[[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], [[2, 3, 1], [6, 5, 4], [11, 12, 10]]]]}], "Mbpp/462": [{"task_id": "Mbpp/462", "solution": "from itertools import chain, combinations\ndef combinations_list(lst):\n return list(chain(*[combinations(lst, i) for i in range(len(lst) + 1)]))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["orange", "red", "green", "blue"]]], "plus_fail_tests": [[["a", "b", "c", "d", "e", "f", "g", "h", "i", "j"]]]}], "Mbpp/470": [{"task_id": "Mbpp/470", "solution": "def add_pairwise(tup):\n return tuple(tup[i] + tup[i + 1] for i in range(len(tup) - 1))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/475": [{"task_id": "Mbpp/475", "solution": "def sort_dict_by_value(d):\n return sorted(d.items(), key=lambda x: x[1], reverse=True)\n\nassert sort_dict_by_value({'Math':81, 'Physics':83, 'Chemistry':87})==[('Chemistry', 87), ('Physics', 83), ('Math', 81)]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/471": [{"task_id": "Mbpp/471", "solution": "def find_remainder(arr, n):\n product = 1\n for num in arr:\n product = (product * num) % n\n return product", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/476": [{"task_id": "Mbpp/476", "solution": "def big_sum(arr):\n return max(arr) + min(arr)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/474": [{"task_id": "Mbpp/474", "solution": "def replace_char(s, old_char, new_char):\n return s.replace(old_char, new_char)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/477": [{"task_id": "Mbpp/477", "solution": "def to_lower(s):\n return s.lower()\n\nassert to_lower(\"InValid\") == \"invalid\"", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/554": [{"task_id": "Mbpp/554", "solution": "def get_odd_numbers(numbers):\n return [num for num in numbers if num % 2 != 0]\n\nassert get_odd_numbers([1,2,3,4,5,6]) == [1,3,5]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/478": [{"task_id": "Mbpp/478", "solution": "def remove_lowercase(s):\n return ''.join([c for c in s if c.isupper()])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/479": [{"task_id": "Mbpp/479", "solution": "def first_Digit(n):\n while n >= 10:\n n /= 10\n return int(n)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/556": [{"task_id": "Mbpp/556", "solution": "def find_Odd_Pair(arr, n):\n # Initialize count of odd pairs\n odd_count = 0\n\n # Traverse through all pairs of arr[i] and arr[j]\n for i in range(0, n):\n for j in range(i + 1, n):\n\n # If XOR of arr[i] and arr[j] is odd\n if (arr[i] ^ arr[j]) & 1:\n odd_count += 1\n\n return odd_count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/555": [{"task_id": "Mbpp/555", "solution": "def difference(n):\n sum_of_cubes = sum([i**3 for i in range(1, n+1)])\n sum_of_numbers = sum([i for i in range(1, n+1)])\n return sum_of_cubes - sum_of_numbers", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/557": [{"task_id": "Mbpp/557", "solution": "def toggle_string(s):\n return s.swapcase()", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/559": [{"task_id": "Mbpp/559", "solution": "def max_sub_array_sum(lst, n):\n max_sum = 0\n for i in range(n):\n for j in range(i+1, n+1):\n sub_array_sum = sum(lst[i:j])\n if sub_array_sum > max_sum:\n max_sum = sub_array_sum\n return max_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/562": [{"task_id": "Mbpp/562", "solution": "def Find_Max_Length(lst):\n return max(len(sublist) for sublist in lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/560": [{"task_id": "Mbpp/560", "solution": "def union_elements(t1, t2):\n return tuple(sorted(set(t1 + t2)))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/558": [{"task_id": "Mbpp/558", "solution": "def digit_distance_nums(num1, num2):\n # Convert numbers to strings to easily access digits\n num1, num2 = str(num1), str(num2)\n # Initialize sum of digit differences\n sum_diff = 0\n # Iterate over each digit in the numbers\n for digit1, digit2 in zip(num1, num2):\n # Add the absolute difference between the digits to the sum\n sum_diff += abs(int(digit1) - int(digit2))\n return sum_diff", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/563": [{"task_id": "Mbpp/563", "solution": "import re\ndef extract_values(s):\n return re.findall(r'\"([^\"]*)\"', s)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/564": [{"task_id": "Mbpp/564", "solution": "def count_Pairs(lst, n):\n count = 0\n for i in range(n):\n for j in range(i+1, n):\n if lst[i] != lst[j]:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/565": [{"task_id": "Mbpp/565", "solution": "def split_string(s):\n return list(s)\n\nassert split_string('python') == ['p','y','t','h','o','n']", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/567": [{"task_id": "Mbpp/567", "solution": "def is_sorted_list(lst):\n return all(lst[i] <= lst[i + 1] for i in range(len(lst) - 1))\n\n# Test the function\nassert is_sorted_list([1,2,4,6,8,10,12,14,16,17]) == True", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/566": [{"task_id": "Mbpp/566", "solution": "def sum_digits(n):\n return sum(int(digit) for digit in str(n))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/568": [{"task_id": "Mbpp/568", "solution": "def empty_list(n):\n return [{} for _ in range(n)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/453": [{"task_id": "Mbpp/453", "solution": "def sumofFactors(n):\n sum = 0\n for i in range(1, n+1):\n if n % i == 0 and i % 2 == 0:\n sum += i\n return sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/569": [{"task_id": "Mbpp/569", "solution": "def sort_sublists(lst):\n return [sorted(sublist) for sublist in lst]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/572": [{"task_id": "Mbpp/572", "solution": "def two_unique_nums(lst):\n unique_nums = []\n for num in lst:\n if num not in unique_nums:\n unique_nums.append(num)\n return unique_nums", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 3, 2, 3, 4, 5]]], "plus_fail_tests": [[[1, 2, 3, 2, 4, 5, 3, 6, 4, 7, 8, 9, 5, 6]]]}], "Mbpp/573": [{"task_id": "Mbpp/573", "solution": "def unique_product(lst):\n unique_nums = set(lst)\n product = 1\n for num in unique_nums:\n product *= num\n return product", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/576": [{"task_id": "Mbpp/576", "solution": "def is_Sub_Array(main_list, sub_list):\n return sub_list in main_list", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 1], [1, 2, 1]]], "plus_fail_tests": [[[], []]]}], "Mbpp/579": [{"task_id": "Mbpp/579", "solution": "def find_dissimilar(t1, t2):\n return tuple(set(t1).symmetric_difference(set(t2)))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/580": [{"task_id": "Mbpp/580", "solution": "def extract_even(tup):\n result = []\n for item in tup:\n if isinstance(item, tuple):\n new_item = extract_even(item)\n if new_item:\n result.append(new_item)\n elif item % 2 == 0:\n result.append(item)\n return tuple(result)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/578": [{"task_id": "Mbpp/578", "solution": "def interleave_lists(list1, list2, list3):\n return [val for pair in zip(list1, list2, list3) for val in pair]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/577": [{"task_id": "Mbpp/577", "solution": "def last_Digit_Factorial(n):\n if n == 0:\n return 1\n else:\n last_digit = 1\n for i in range(1, n + 1):\n last_digit *= i\n while last_digit % 10 == 0:\n last_digit //= 10\n last_digit %= 10\n return last_digit", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[21]], "plus_fail_tests": [[100]]}], "Mbpp/583": [{"task_id": "Mbpp/583", "solution": "def catalan_number(n):\n if n <= 1:\n return 1\n\n catalan = [0 for _ in range(n+1)]\n catalan[0] = 1\n catalan[1] = 1\n\n for i in range(2, n+1):\n for j in range(i):\n catalan[i] += catalan[j] * catalan[i-j-1]\n\n return catalan[n]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/585": [{"task_id": "Mbpp/585", "solution": "def expensive_items(dataset, n):\n # Sort the dataset by price in descending order\n sorted_dataset = sorted(dataset, key=lambda x: x['price'], reverse=True)\n # Return the first n items from the sorted dataset\n return sorted_dataset[:n]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/581": [{"task_id": "Mbpp/581", "solution": "def surface_Area(base_edge, height):\n # Calculate the surface area of a square pyramid\n # Formula: A = 1/3 * base_area * height + 1/2 * base_perimeter * height\n base_area = base_edge ** 2\n base_perimeter = 4 * base_edge\n surface_area = 1/3 * base_area * height + 1/2 * base_perimeter * height\n return surface_area", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3, 4]], "plus_fail_tests": [[10, 20]]}], "Mbpp/588": [{"task_id": "Mbpp/588", "solution": "def big_diff(lst):\n if lst:\n return max(lst) - min(lst)\n else:\n return 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/590": [{"task_id": "Mbpp/590", "solution": "import cmath\ndef polar_rect(r, theta):\n x = r * cmath.cos(theta)\n y = r * cmath.sin(theta)\n return (x.real, y.real)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3, 4]], "plus_fail_tests": [[0, 0]]}], "Mbpp/587": [{"task_id": "Mbpp/587", "solution": "def list_tuple(lst):\n return tuple(lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/586": [{"task_id": "Mbpp/586", "solution": "def split_Arr(arr, n):\n return arr[n:] + arr[:n]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/591": [{"task_id": "Mbpp/591", "solution": "def swap_List(lst):\n # Swap first and last elements\n lst[0], lst[-1] = lst[-1], lst[0]\n return lst", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/589": [{"task_id": "Mbpp/589", "solution": "def perfect_squares(start, end):\n return [i**2 for i in range(int(start**0.5), int(end**0.5)+1)]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[50, 100]], "plus_fail_tests": [[-10, -1]]}], "Mbpp/592": [{"task_id": "Mbpp/592", "solution": "import math\ndef sum_Of_product(n):\n sum_product = 0\n for i in range(1, n):\n sum_product += math.comb(n, i) * math.comb(n, i+1)\n return sum_product", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[10]]}], "Mbpp/593": [{"task_id": "Mbpp/593", "solution": "def removezero_ip(ip):\n ip_parts = ip.split('.')\n ip_parts = [str(int(part)) for part in ip_parts]\n return '.'.join(ip_parts)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["0.0.0.0"]]}], "Mbpp/596": [{"task_id": "Mbpp/596", "solution": "import sys\ndef tuple_size(t):\n return sys.getsizeof(t)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/594": [{"task_id": "Mbpp/594", "solution": "def diff_even_odd(lst):\n even = next((x for x in lst if x % 2 == 0), None)\n odd = next((x for x in lst if x % 2 != 0), None)\n return even - odd if even and odd else None", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/255": [{"task_id": "Mbpp/255", "solution": "from itertools import product\ndef combinations_colors(lst, n):\n return list(product(*([lst]*n)))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["Red", "Green", "Blue"], 2]], "plus_fail_tests": [[["A", "B", "C", "D"], 4]]}], "Mbpp/598": [{"task_id": "Mbpp/598", "solution": "def armstrong_number(num):\n # Convert the number to string to find its length (number of digits)\n num_str = str(num)\n num_len = len(num_str)\n\n # Calculate the sum of the digits raised to the power of the number of digits\n sum_of_powers = sum(int(digit)**num_len for digit in num_str)\n\n # If the sum is equal to the original number, it's an Armstrong number\n return sum_of_powers == num", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/602": [{"task_id": "Mbpp/602", "solution": "def first_repeated_char(string):\n char_count = {}\n for char in string:\n if char in char_count:\n return char\n else:\n char_count[char] = 1\n return None", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/599": [{"task_id": "Mbpp/599", "solution": "def sum_average(n):\n # calculate sum of first n natural numbers\n total_sum = n * (n + 1) // 2\n # calculate average of first n natural numbers\n avg = total_sum / n\n return (total_sum, avg)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/597": [{"task_id": "Mbpp/597", "solution": "def find_kth(nums1, nums2, k):\n \"\"\"\n Find kth element from the given two sorted arrays.\n \"\"\"\n # Merge the two sorted arrays\n merged = sorted(nums1 + nums2)\n # Return the kth element\n return merged[k - 1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/600": [{"task_id": "Mbpp/600", "solution": "def is_Even(n):\n return n % 2 == 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/606": [{"task_id": "Mbpp/606", "solution": "import math", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/603": [{"task_id": "Mbpp/603", "solution": "def get_ludic(n):\n def is_prime(num):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n ludic_numbers = []\n for i in range(1, n+1):\n if is_prime(i):\n ludic_numbers.append(i)\n return ludic_numbers", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[10]], "plus_fail_tests": [[100]]}], "Mbpp/607": [{"task_id": "Mbpp/607", "solution": "import re\ndef find_literals(text, pattern):\n match = re.search(pattern, text)\n if match:\n return match.group(), match.start(), match.end()\n return None, None, None", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["", "rfvPtELLC"]]}], "Mbpp/604": [{"task_id": "Mbpp/604", "solution": "def reverse_words(s):\n words = s.split(' ')\n reversed_words = ' '.join(reversed(words))\n return reversed_words", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[" "]]}], "Mbpp/605": [{"task_id": "Mbpp/605", "solution": "def prime_num(n):\n if n <= 1:\n return False\n elif n <= 3:\n return True\n elif n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/608": [{"task_id": "Mbpp/608", "solution": "def bell_Number(n):\n bell = [[0 for i in range(n+1)] for j in range(n+1)]\n bell[0][0] = 1\n for i in range(1, n+1):\n bell[i][0] = bell[i-1][i-1]\n for j in range(1, i+1):\n bell[i][j] = bell[i-1][j-1] + bell[i][j-1]\n return bell[n][0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/612": [{"task_id": "Mbpp/612", "solution": "def merge(lst):\n return [[sub[i] for sub in lst] for i in range(2)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/611": [{"task_id": "Mbpp/611", "solution": "def max_of_nth(matrix, n):\n return max(row[n] for row in matrix)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/610": [{"task_id": "Mbpp/610", "solution": "def remove_kth_element(lst, k):\n del lst[k]\n return lst", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 1, 2, 3, 4, 4, 5, 1], 3]], "plus_fail_tests": [[[1, 2, 3, 4, 5], 1]]}], "Mbpp/614": [{"task_id": "Mbpp/614", "solution": "def cummulative_sum(tuples):\n total = 0\n for t in tuples:\n total += sum(t)\n return total", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/616": [{"task_id": "Mbpp/616", "solution": "def tuple_modulo(t1, t2):\n return tuple(map(lambda x, y: x % y, t1, t2))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/615": [{"task_id": "Mbpp/615", "solution": "def average_tuple(tuples):\n averages = []\n for t in tuples:\n averages.append(sum(t)/len(t))\n return averages", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[10, 10, 10, 12], [30, 45, 56, 45], [81, 80, 39, 32], [1, 2, 3, 4]]]], "plus_fail_tests": [[[[7, 8, 9], [-2, -4, -6], [0, 20, 30]]]]}], "Mbpp/618": [{"task_id": "Mbpp/618", "solution": "def div_list(list1, list2):\n return [a / b for a, b in zip(list1, list2)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/620": [{"task_id": "Mbpp/620", "solution": "def largest_subset(lst):\n if not lst:\n return 0\n\n lst.sort()\n dp = [1] * len(lst)\n max_len = 1\n\n for i in range(1, len(lst)):\n for j in range(i):\n if lst[i] % lst[j] == 0 and dp[i] < dp[j] + 1:\n dp[i] = dp[j] + 1\n max_len = max(max_len, dp[i])\n\n return max_len", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[9, 3, 12, 7, 16, 3, 11, 8, 4, 13, 13]]]}], "Mbpp/624": [{"task_id": "Mbpp/624", "solution": "def convert_to_upper(s):\n return s.upper()\n\nassert convert_to_upper(\"person\") == \"PERSON\"", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/623": [{"task_id": "Mbpp/623", "solution": "def nth_nums(nums, n):\n return [num ** n for num in nums]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/622": [{"task_id": "Mbpp/622", "solution": "def get_median(list1, list2, n):\n merged_list = sorted(list1 + list2)\n if n % 2 == 0:\n median = (merged_list[n//2] + merged_list[n//2 - 1]) / 2\n else:\n median = merged_list[n//2]\n return median", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 12, 15, 26, 38], [2, 13, 17, 30, 45], 5]], "plus_fail_tests": [[[1, 4, 7, 10, 13, 16, 19, 22, 25, 28], [2, 5, 8, 11, 14, 17, 20, 23, 26, 29], 10]]}], "Mbpp/619": [{"task_id": "Mbpp/619", "solution": "def move_num(s):\n nums = [i for i in s if i.isdigit()]\n letters = [i for i in s if not i.isdigit()]\n return ''.join(letters + nums)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/629": [{"task_id": "Mbpp/629", "solution": "def find_even_numbers(numbers):\n return [num for num in numbers if num % 2 == 0]\n\nassert find_even_numbers([1,2,3,4,5]) == [2,4]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/626": [{"task_id": "Mbpp/626", "solution": "import math", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/628": [{"task_id": "Mbpp/628", "solution": "def replace_spaces(s):\n return s.replace(' ', '%20')", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/631": [{"task_id": "Mbpp/631", "solution": "def replace_spaces(s):\n return s.replace(' ', '_')", "base_status": "fail", "plus_status": "pass", "base_fail_tests": [["The_Avengers"]], "plus_fail_tests": []}], "Mbpp/637": [{"task_id": "Mbpp/637", "solution": "def noprofit_noloss(sell_price, cost_price):\n return sell_price != cost_price", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[1500, 1200]], "plus_fail_tests": [[-2000, -5000]]}], "Mbpp/638": [{"task_id": "Mbpp/638", "solution": "def wind_chill(velocity, temperature):\n \"\"\"\n Calculate the wind chill index given the wind velocity in km/h and a temperature in celsius.\n \"\"\"\n # Formula for wind chill index\n wct_index = 13.12 + 0.6215*temperature - 11.37*(velocity**0.16) + 0.3965*temperature*(velocity**0.16)\n # Round to the next integer\n return round(wct_index + 0.5)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[120, 35]], "plus_fail_tests": [[0, 0]]}], "Mbpp/639": [{"task_id": "Mbpp/639", "solution": "def sum_names(names):\n return sum(len(name) for name in names if name[0].isupper())\n\n# Test the function\nassert sum_names(['sally', 'Dylan', 'rebecca', 'Diana', 'Joanne', 'keith']) == 16", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/641": [{"task_id": "Mbpp/641", "solution": "def is_nonagonal(n):\n return n * (7 * n - 5) // 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/635": [{"task_id": "Mbpp/635", "solution": "def heap_sort(lst):\n def heapify(n, i):\n largest = i\n l = 2 * i + 1\n r = 2 * i + 2\n\n if l < n and lst[i] < lst[l]:\n largest = l\n\n if r < n and lst[largest] < lst[r]:\n largest = r\n\n if largest != i:\n lst[i], lst[largest] = lst[largest], lst[i]\n heapify(n, largest)\n\n n = len(lst)\n\n for i in range(n, -1, -1):\n heapify(n, i)\n\n for i in range(n-1, 0, -1):\n lst[i], lst[0] = lst[0], lst[i]\n heapify(i, 0)\n\n return lst", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/632": [{"task_id": "Mbpp/632", "solution": "def move_zero(lst):\n # Count the number of zeros in the list\n num_zeros = lst.count(0)\n \n # Remove all zeros from the list\n lst = [num for num in lst if num != 0]\n \n # Extend the list with the number of zeros\n lst.extend([0]*num_zeros)\n \n return lst", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/633": [{"task_id": "Mbpp/633", "solution": "def pair_xor_sum(lst, n):\n sum = 0\n for i in range(n):\n for j in range(i + 1, n):\n sum += lst[i] ^ lst[j]\n return sum\n\n# Test the function\nassert pair_xor_sum([5,9,7,6],4) == 47", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/643": [{"task_id": "Mbpp/643", "solution": "import re\ndef text_match_wordz_middle(text):\n # Regular expression pattern to match words containing 'z' except at the start and end\n pattern = r'\\b\\w*z\\w*\\b'\n # Find all matches in the text\n matches = re.findall(pattern, text)\n # Check if any match is found\n if matches:\n # Check if each match is a word containing 'z' except at the start and end\n for match in matches:\n if match != 'z' and match[0] != 'z' and match[-1] != 'z':\n return True\n return False", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["zzzxyabczzz"]]}], "Mbpp/720": [{"task_id": "Mbpp/720", "solution": "def add_dict_to_tuple(tup, dic):\n return tup + (dic,)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/644": [{"task_id": "Mbpp/644", "solution": "def reverse_Array_Upto_K(arr, k):\n # Reverse the first k elements\n arr[:k] = arr[:k][::-1]\n return arr", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/722": [{"task_id": "Mbpp/722", "solution": "def filter_data(students, min_height, min_weight):\n return {name: data for name, data in students.items() if data[0] >= min_height and data[1] >= min_weight}\nstudents = {'Cierra Vega': (6.2, 70), 'Alden Cantrell': (5.9, 65), 'Kierra Gentry': (6.0, 68), 'Pierre Cox': (5.8, 66)}\nmin_height = 6.0\nmin_weight = 70", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/723": [{"task_id": "Mbpp/723", "solution": "def count_same_pair(list1, list2):\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must have the same length\")\n return sum(1 for a, b in zip(list1, list2) if a == b)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/721": [{"task_id": "Mbpp/721", "solution": "def maxAverageOfPath(matrix):\n n = len(matrix)\n dp = [[0]*n for _ in range(n)]\n dp[0][0] = matrix[0][0]\n\n for i in range(1, n):\n dp[i][0] = dp[i-1][0] + matrix[i][0]\n dp[0][i] = dp[0][i-1] + matrix[0][i]\n\n for i in range(1, n):\n for j in range(1, n):\n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) + matrix[i][j]\n\n return dp[-1][-1] / ((n-1) * 2)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[1, 2, 3], [6, 5, 4], [7, 3, 9]]]], "plus_fail_tests": [[[[0, 0, 0], [0, 0, 0], [0, 0, -1]]]]}], "Mbpp/724": [{"task_id": "Mbpp/724", "solution": "def power_base_sum(base, power):\n return sum(int(digit) for digit in str(base ** power))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/725": [{"task_id": "Mbpp/725", "solution": "import re\ndef extract_quotation(s):\n return re.findall(r'\"([^\"]*)\"', s)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/726": [{"task_id": "Mbpp/726", "solution": "def multiply_elements(t):\n return tuple(t[i] * t[i + 1] for i in range(len(t) - 1))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/732": [{"task_id": "Mbpp/732", "solution": "def replace_specialchar(s):\n s = s.replace(' ', ':')\n s = s.replace(',', ':')\n s = s.replace('.', ':')\n return s", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/730": [{"task_id": "Mbpp/730", "solution": "def consecutive_duplicates(lst):\n return [lst[i] for i in range(len(lst)) if i == 0 or lst[i] != lst[i-1]]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/728": [{"task_id": "Mbpp/728", "solution": "def sum_list(list1, list2):\n return [a + b for a, b in zip(list1, list2)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/733": [{"task_id": "Mbpp/733", "solution": "def find_first_occurrence(arr, target):\n left, right = 0, len(arr) - 1\n result = -1\n while left <= right:\n mid = left + (right - left) // 2\n if arr[mid] == target:\n result = mid\n right = mid - 1\n elif arr[mid] < target:\n left = mid + 1\n else:\n right = mid - 1\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/731": [{"task_id": "Mbpp/731", "solution": "import math\ndef lateralsurface_cone(r, h):\n return math.pi * r * math.sqrt(r**2 + h**2)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/735": [{"task_id": "Mbpp/735", "solution": "def toggle_middle_bits(n):\n # Convert the number to binary and store it as a string\n binary = bin(n)[2:]\n\n # Toggle bits of the number except the first and the last bit\n for i in range(1, len(binary) - 1):\n if binary[i] == '1':\n binary = binary[:i] + '0' + binary[i+1:]\n else:\n binary = binary[:i] + '1' + binary[i+1:]\n\n # Convert the binary string back to an integer\n return int(binary, 2)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[true]]}], "Mbpp/734": [{"task_id": "Mbpp/734", "solution": "def sum_Of_Subarray_Prod(lst):\n n = len(lst)\n prod = 0\n for i in range(n):\n for j in range(i+1, n+1):\n sublist = lst[i:j]\n product = 1\n for num in sublist:\n product *= num\n prod += product\n return prod", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/737": [{"task_id": "Mbpp/737", "solution": "import re\ndef check_str(s):\n return bool(re.match(r'^[aeiou]', s, re.IGNORECASE))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/736": [{"task_id": "Mbpp/736", "solution": "def left_insertion(arr, val):\n for i in range(len(arr)):\n if arr[i] >= val:\n return i\n return len(arr)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/739": [{"task_id": "Mbpp/739", "solution": "import math\ndef find_Index(n):\n # The nth triangular number is given by the formula n*(n+1)/2\n # We can rearrange this to solve for n: n = (sqrt(8*T + 1) - 1) / 2, where T is the triangular number\n # We want to find the smallest such n that is greater than or equal to n\n # So we can use the math.ceil function to round up to the nearest integer\n return math.ceil((math.sqrt(8 * 10 ** (n-1) + 1) - 1) / 2)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[29]]}], "Mbpp/740": [{"task_id": "Mbpp/740", "solution": "def tuple_to_dict(tup):\n return {tup[i]: tup[i + 1] for i in range(0, len(tup), 2)}", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/742": [{"task_id": "Mbpp/742", "solution": "import math\ndef area_tetrahedron(edge_length):\n # The formula to calculate the area of a tetrahedron is sqrt(3) * edge_length ** 2\n return math.sqrt(3) * edge_length ** 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/743": [{"task_id": "Mbpp/743", "solution": "def rotate_right(lst, k):\n # Calculate the effective rotation\n k = k % len(lst)\n # Use slicing to rotate the list\n return lst[-k:] + lst[:-k]", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[], 0]]}], "Mbpp/744": [{"task_id": "Mbpp/744", "solution": "def check_none(tup):\n return None in tup", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/748": [{"task_id": "Mbpp/748", "solution": "def capital_words_spaces(s):\n return ' '.join(s.split())", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["PythonProgrammingExamples"]], "plus_fail_tests": [["MyNameIsAIAndIAmHereToHelpYou"]]}], "Mbpp/749": [{"task_id": "Mbpp/749", "solution": "def sort_numeric_strings(lst):\n return sorted(int(i) for i in lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/741": [{"task_id": "Mbpp/741", "solution": "def all_Characters_Same(s):\n return len(set(s)) <= 1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/750": [{"task_id": "Mbpp/750", "solution": "def add_tuple(lst, tup):\n return lst + list(tup)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/751": [{"task_id": "Mbpp/751", "solution": "def check_min_heap(arr):\n n = len(arr)\n\n # Iterate from the parent nodes to the root node\n for i in range(int(n/2)):\n # If left child is greater than parent\n if arr[i] > arr[2 * i + 1]:\n return False\n\n # If right child exists and is greater than parent\n if 2 * i + 2 < n and arr[i] > arr[2 * i + 2]:\n return False\n\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/745": [{"task_id": "Mbpp/745", "solution": "def divisible_by_digits(startnum, endnum):\n result = []\n for num in range(startnum, endnum+1):\n if all(digit != 0 and num % digit == 0 for digit in map(int, str(num))):\n result.append(num)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/755": [{"task_id": "Mbpp/755", "solution": "def second_smallest(numbers):\n m1, m2 = float('inf'), float('inf')\n for x in numbers:\n if x <= m1:\n m1, m2 = x, m1\n elif x < m2:\n m2 = x\n return m2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 1, -0.5, 0, 2, -2, -2]]], "plus_fail_tests": [[[3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5, 8, 9, 7, 9]]]}], "Mbpp/753": [{"task_id": "Mbpp/753", "solution": "def min_k(records, k):\n # Sort the records by the second element of each tuple\n sorted_records = sorted(records, key=lambda x: x[1])\n # Return the first k records\n return sorted_records[:k]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/754": [{"task_id": "Mbpp/754", "solution": "def extract_index_list(l1, l2, l3):\n common_elements = []\n for i in range(len(l1)):\n if l1[i] == l2[i] == l3[i]:\n common_elements.append(l1[i])\n return common_elements", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[2, 4, 6, 8, 10, 12, 14], [1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 5, 6]]]}], "Mbpp/758": [{"task_id": "Mbpp/758", "solution": "def unique_sublists(lst):\n count_dict = {}\n for sublist in lst:\n tuple_sublist = tuple(sublist)\n if tuple_sublist in count_dict:\n count_dict[tuple_sublist] += 1\n else:\n count_dict[tuple_sublist] = 1\n return count_dict", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/759": [{"task_id": "Mbpp/759", "solution": "def is_decimal(s):\n try:\n float(s)\n except ValueError:\n return False\n else:\n parts = s.split('.')\n if len(parts) == 2 and len(parts[1]) == 2:\n return True\n else:\n return False", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["-123.11"]]}], "Mbpp/757": [{"task_id": "Mbpp/757", "solution": "def count_reverse_pairs(lst):\n count = 0\n for i in range(len(lst)):\n for j in range(i+1, len(lst)):\n if lst[i] == lst[j][::-1]:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/760": [{"task_id": "Mbpp/760", "solution": "def unique_Element(lst):\n return len(set(lst)) <= 1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/764": [{"task_id": "Mbpp/764", "solution": "def number_ctr(s):\n return sum(c.isdigit() for c in s)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/763": [{"task_id": "Mbpp/763", "solution": "def find_min_diff(arr, n):\n arr = sorted(arr)\n min_diff = float('inf')\n for i in range(1, n):\n diff = arr[i] - arr[i-1]\n min_diff = min(min_diff, diff)\n return min_diff", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/762": [{"task_id": "Mbpp/762", "solution": "def check_monthnumber_number(month_number):\n # Months with 30 days: 4, 6, 9, 11\n if month_number in [4, 6, 9, 11]:\n return True\n else:\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/765": [{"task_id": "Mbpp/765", "solution": "def is_polite(n):\n def is_power_of_two(n):\n return (n and (not(n & (n - 1))))\n\n def find_next_power_of_two(n):\n count = 0\n while (n):\n n >>= 1\n count += 1\n return count\n\n if (is_power_of_two(n)):\n return n << 1\n else:\n p = 1 << find_next_power_of_two(n)\n q = p >> 1\n if (n == (p + q - 1)):\n return p\n else:\n return p + q", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[7]], "plus_fail_tests": [[10000000]]}], "Mbpp/766": [{"task_id": "Mbpp/766", "solution": "def pair_wise(lst):\n return [(lst[i], lst[i + 1]) for i in range(len(lst) - 1)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/767": [{"task_id": "Mbpp/767", "solution": "def get_pairs_count(lst, total):\n count = 0\n length = len(lst)\n for i in range(0, length):\n for j in range(i+1, length):\n if lst[i] + lst[j] == total:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/630": [{"task_id": "Mbpp/630", "solution": "def get_coordinates(coordinate):\n x, y = coordinate\n adjacent_coordinates = []\n for i in range(-1, 2):\n for j in range(-1, 2):\n if not (i == 0 and j == 0):\n adjacent_coordinates.append([x + i, y + j])\n return adjacent_coordinates", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[3, 4]]], "plus_fail_tests": [[[1, 1, 1]]]}], "Mbpp/770": [{"task_id": "Mbpp/770", "solution": "def odd_num_sum(n):\n sum = 0\n for i in range(1, 2*n, 2):\n sum += i**4\n return sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/769": [{"task_id": "Mbpp/769", "solution": "def Diff(li1, li2): \n return [i for i in li1+li2 if i not in li1 or i not in li2]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/772": [{"task_id": "Mbpp/772", "solution": "def remove_length(s, k):\n words = s.split()\n words = [word for word in words if len(word) != k]\n return ' '.join(words)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/771": [{"task_id": "Mbpp/771", "solution": "def check_expression(expr):\n stack = []\n brackets = {'(': ')', '{': '}', '[': ']'}\n for bracket in expr:\n if bracket in brackets:\n stack.append(bracket)\n elif len(stack) == 0 or brackets[stack.pop()] != bracket:\n return False\n return len(stack) == 0", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[""]]}], "Mbpp/773": [{"task_id": "Mbpp/773", "solution": "def occurrence_substring(s, sub):\n pos = s.find(sub)\n if pos != -1:\n return (sub, pos, pos+len(sub))\n else:\n return None\n\n# Test the function", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/777": [{"task_id": "Mbpp/777", "solution": "def find_sum(lst):\n return sum(set(lst))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/775": [{"task_id": "Mbpp/775", "solution": "def odd_position(lst):\n return all(el % 2 != 0 for i, el in enumerate(lst) if i % 2 != 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/780": [{"task_id": "Mbpp/780", "solution": "from itertools import combinations\ndef find_combinations(tuples):\n result = []\n for i in range(2, len(tuples)+1):\n for combination in combinations(tuples, i):\n result.append(tuple(sum(x) for x in zip(*combination)))\n return result", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[2, 4], [6, 7], [5, 1], [6, 10]]]], "plus_fail_tests": [[[[100, 200], [300, 400], [500, 600], [700, 800]]]]}], "Mbpp/778": [{"task_id": "Mbpp/778", "solution": "def pack_consecutive_duplicates(lst):\n result = []\n i = 0\n while i < len(lst):\n start = i\n while i < len(lst) - 1 and lst[i] == lst[i + 1]:\n i += 1\n result.append(lst[start:i+1])\n i += 1\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/782": [{"task_id": "Mbpp/782", "solution": "def odd_length_sum(arr):\n n = len(arr)\n res = 0\n for i in range(n):\n res += ((i+1)*(n-i)+1)//2*arr[i]\n return res", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/784": [{"task_id": "Mbpp/784", "solution": "def mul_even_odd(lst):\n even_product = 1\n odd_product = 1\n for num in lst:\n if num % 2 == 0:\n even_product *= num\n else:\n odd_product *= num\n return even_product, odd_product", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 3, 5, 7, 4, 1, 6, 8]]], "plus_fail_tests": [[[-10, -5, 0, 5, 10]]]}], "Mbpp/785": [{"task_id": "Mbpp/785", "solution": "def tuple_str_int(tup_str):\n # Remove parentheses and split by comma\n str_list = tup_str[1:-1].split(',')\n # Convert each string to integer and return as tuple\n return tuple(map(int, str_list))", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["((7, 8, 9)"]]}], "Mbpp/786": [{"task_id": "Mbpp/786", "solution": "def right_insertion(arr, target):\n for i in range(len(arr)):\n if arr[i] > target:\n return i\n return len(arr)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[50.64327388212607, -72.16612625583227, 95.25630303581863, -75.73998556144497, 11.857449640680656, 90.05081633927793, -90.20293226837086, -12.02758648076636, -35.964731488229475], 7]]}], "Mbpp/787": [{"task_id": "Mbpp/787", "solution": "import re\ndef text_match_three(text):\n pattern = 'abbb'\n if re.search(pattern, text):\n return True\n else:\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/790": [{"task_id": "Mbpp/790", "solution": "def even_position(lst):\n for i in range(0, len(lst), 2):\n if lst[i] % 2 != 0:\n return False\n return True", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[2, 1, 4, 2, 6, 1, 8, 2, 10, 1, 12]]]}], "Mbpp/788": [{"task_id": "Mbpp/788", "solution": "def new_tuple(lst, string):\n return tuple(lst + [string])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/791": [{"task_id": "Mbpp/791", "solution": "def remove_nested(tup):\n return tuple(i for i in tup if not isinstance(i, tuple))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/792": [{"task_id": "Mbpp/792", "solution": "def count_list(lst):\n return len(lst)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[2, 3, [4, [5, [6, [7, [8, 9]]]]]]]]}], "Mbpp/794": [{"task_id": "Mbpp/794", "solution": "import re\ndef text_starta_endb(text):\n pattern = 'a.*b$'\n if re.search(pattern, text):\n return True\n else:\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/796": [{"task_id": "Mbpp/796", "solution": "def return_sum(dictionary):\n return sum(dictionary.values())", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/798": [{"task_id": "Mbpp/798", "solution": "def _sum(arr):\n return sum(arr)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/752": [{"task_id": "Mbpp/752", "solution": "def jacobsthal_num(n):\n if n == 0:\n return 0\n elif n == 1:\n return 1\n else:\n return 2 * jacobsthal_num(n - 1) + jacobsthal_num(n - 2)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[5]], "plus_fail_tests": [[100]]}], "Mbpp/801": [{"task_id": "Mbpp/801", "solution": "def test_three_equal(a, b, c):\n if a == b and b == c:\n return 3\n elif a == b or a == c or b == c:\n return 2\n else:\n return 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/800": [{"task_id": "Mbpp/800", "solution": "def remove_all_spaces(input_string):\n return input_string.replace(' ', '')", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/799": [{"task_id": "Mbpp/799", "solution": "def left_rotate(n, d):\n \"\"\"\n Function to rotate left bits of a number by d bits.\n \"\"\"\n # In n<>(32-d)\n return (n << d)|(n >> (32 - d))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/793": [{"task_id": "Mbpp/793", "solution": "def last(arr, target):\n try:\n return len(arr) - 1 - arr[::-1].index(target)\n except ValueError:\n return -1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/803": [{"task_id": "Mbpp/803", "solution": "def is_perfect_square(n):\n if n < 0:\n return False\n if n == 0 or n == 1:\n return True\n x = n // 2\n seen = set([x])\n while x * x != n:\n x = (x + (n // x)) // 2\n if x in seen:\n return False\n seen.add(x)\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/797": [{"task_id": "Mbpp/797", "solution": "def sum_in_range(l, r):\n return sum(i for i in range(l, r+1) if i % 2 != 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/804": [{"task_id": "Mbpp/804", "solution": "def is_product_even(lst):\n product = 1\n for num in lst:\n product *= num\n return product % 2 == 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/805": [{"task_id": "Mbpp/805", "solution": "def max_sum_list(lst):\n return max(lst, key=sum)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/806": [{"task_id": "Mbpp/806", "solution": "def max_run_uppercase(s):\n max_length = 0\n current_length = 0\n for char in s:\n if char.isupper():\n current_length += 1\n max_length = max(max_length, current_length)\n else:\n current_length = 0\n return max_length", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["Aaa"]]}], "Mbpp/807": [{"task_id": "Mbpp/807", "solution": "def first_odd(numbers):\n for num in numbers:\n if num % 2 != 0:\n return num\n return None", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/808": [{"task_id": "Mbpp/808", "solution": "def check_K(tup, k):\n return k in tup", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/809": [{"task_id": "Mbpp/809", "solution": "def check_smaller(t1, t2):\n return all(x < y for x, y in zip(t1, t2))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 3], [2, 3, 4]]], "plus_fail_tests": [[[3, 7, 11, 15, 19], [2, 6, 10, 14, 18]]]}], "Mbpp/781": [{"task_id": "Mbpp/781", "solution": "def count_divisors(n):\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count % 2 == 0", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[987654321]]}], "Mbpp/271": [{"task_id": "Mbpp/271", "solution": "def even_Power_Sum(n):\n sum = 0\n for i in range(2, 2*n+1, 2):\n sum += i**5\n return sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}]}, "pass_at_k": {"base": {"pass@1": 0.7513227513227513}, "plus": {"pass@1": 0.656084656084656}}} \ No newline at end of file diff --git a/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.jsonl b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0f8db3ba911392b26f81fe5cc5dd8a552f4da43c --- /dev/null +++ b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.jsonl @@ -0,0 +1,378 @@ +{"task_id": "Mbpp/2", "solution": "\n# Test the function\nassert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == set((4, 5))"} +{"task_id": "Mbpp/3", "solution": "def is_not_prime(n):\n if n <= 1:\n return True\n elif n <= 3:\n return False\n elif n % 2 == 0 or n % 3 == 0:\n return True\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return True\n i += 6\n return False"} +{"task_id": "Mbpp/4", "solution": "import heapq\ndef heap_queue_largest(nums, n):\n return heapq.nlargest(n, nums)"} +{"task_id": "Mbpp/6", "solution": "def differ_At_One_Bit_Pos(x, y):\n return bin(x ^ y).count('1') == 1"} +{"task_id": "Mbpp/7", "solution": "def find_char_long(s):\n return [word for word in s.split() if len(word) >= 4]"} +{"task_id": "Mbpp/8", "solution": "def square_nums(nums):\n return [num ** 2 for num in nums]"} +{"task_id": "Mbpp/9", "solution": "def find_Rotations(s: str) -> int:\n n = len(s)\n for i in range(1, n):\n if s[i:] + s[:i] == s:\n return i\n return n"} +{"task_id": "Mbpp/11", "solution": "def remove_Occ(s, ch):\n first_occurrence = s.find(ch)\n if first_occurrence != -1:\n last_occurrence = s.rfind(ch)\n return s[:first_occurrence] + s[last_occurrence+1:]\n return s"} +{"task_id": "Mbpp/12", "solution": "def sort_matrix(matrix):\n return sorted(matrix, key=sum)"} +{"task_id": "Mbpp/14", "solution": "def find_Volume(base, height, length):\n # calculate the volume of a triangular prism\n volume = (base * height * length) // 2\n return volume"} +{"task_id": "Mbpp/16", "solution": "def text_lowercase_underscore(s):\n # Split the string into words\n words = s.split(\"_\")\n\n # Check if all words are lowercase\n for word in words:\n if not word.islower():\n return False\n\n # If all words are lowercase, return True\n return True"} +{"task_id": "Mbpp/17", "solution": "def square_perimeter(side_length):\n return 4 * side_length"} +{"task_id": "Mbpp/18", "solution": "def remove_dirty_chars(s1, s2):\n return ''.join([char for char in s1 if char not in s2])"} +{"task_id": "Mbpp/19", "solution": "def test_duplicate(arr):\n return len(arr) != len(set(arr))"} +{"task_id": "Mbpp/20", "solution": "def is_woodall(n):\n # A number is a Woodall number if it is a power of 2 minus 1\n # So, we just need to check if n is a power of 2\n if n <= 0:\n return False\n while n % 2 == 0:\n n = n // 2\n return n == 1"} +{"task_id": "Mbpp/56", "solution": "def check(n):\n # Convert the number to string to reverse it\n str_n = str(n)\n # Reverse the string\n reversed_str_n = str_n[::-1]\n # Convert the reversed string back to integer\n reversed_n = int(reversed_str_n)\n # Check if the number is one less than twice its reverse\n return n == (2 * reversed_n) - 1"} +{"task_id": "Mbpp/57", "solution": "def find_Max_Num(lst):\n # Convert each element in the list to string\n str_lst = [str(i) for i in lst]\n # Sort the list in descending order\n str_lst.sort(reverse=True)\n # Join the elements in the list to form a string and convert it to integer\n max_num = int(''.join(str_lst))\n return max_num"} +{"task_id": "Mbpp/58", "solution": "def opposite_Signs(num1, num2):\n return (num1 ^ num2) < 0"} +{"task_id": "Mbpp/59", "solution": "def nth_octagonal(n):\n return n*(3*n-2)\ndef is_octagonal(n):\n return nth_octagonal(n)"} +{"task_id": "Mbpp/61", "solution": "def count_Substrings(s):\n count = 0\n for length in range(1, len(s) + 1):\n for start in range(0, len(s)):\n if start + length > len(s):\n break\n substring = s[start:start + length]\n if sum(int(digit) for digit in substring) == length:\n count += 1\n return count"} +{"task_id": "Mbpp/62", "solution": "def smallest_num(lst):\n return min(lst)"} +{"task_id": "Mbpp/63", "solution": "def max_difference(tuples):\n max_diff = 0\n for i in range(len(tuples)):\n for j in range(i+1, len(tuples)):\n diff = abs(tuples[i][0] - tuples[j][1])\n if diff > max_diff:\n max_diff = diff\n return max_diff"} +{"task_id": "Mbpp/64", "solution": "def sort_tuples(tuples):\n return sorted(tuples, key=lambda x: x[1])\n\ndef test_sort_tuples():\n assert sort_tuples([('English', 88), ('Science', 90), ('Maths', 97), ('Social sciences', 82)]) == [('Social sciences', 82), ('English', 88), ('Science', 90), ('Maths', 97)]\n print(\"All tests pass\")\n\ntest_sort_tuples()"} +{"task_id": "Mbpp/65", "solution": "def recursive_list_sum(lst):\n total = 0\n for element in lst:\n if type(element) is list:\n total += recursive_list_sum(element)\n else:\n total += element\n return total"} +{"task_id": "Mbpp/66", "solution": "def pos_count(lst):\n count = 0\n for num in lst:\n if num > 0:\n count += 1\n return count"} +{"task_id": "Mbpp/67", "solution": "def bell_number(n):\n bell = [[0 for i in range(n+1)] for j in range(n+1)]\n bell[0][0] = 1\n for i in range(1, n+1):\n bell[i][0] = bell[i-1][i-1]\n for j in range(1, i+1):\n bell[i][j] = bell[i-1][j-1] + bell[i][j-1]\n return bell[n][0]"} +{"task_id": "Mbpp/68", "solution": "def is_Monotonic(arr):\n return all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)) or all(arr[i] >= arr[i + 1] for i in range(len(arr) - 1))"} +{"task_id": "Mbpp/69", "solution": "def is_sublist(main_list, sublist):\n return sublist in main_list"} +{"task_id": "Mbpp/70", "solution": "def get_equal(tuples):\n length = len(tuples[0])\n for t in tuples:\n if len(t) != length:\n return False\n return True"} +{"task_id": "Mbpp/71", "solution": "def comb_sort(lst):\n gap = len(lst)\n shrink = 1.3\n sorted = False\n\n while not sorted:\n gap = int(gap / shrink)\n if gap <= 1:\n gap = 1\n sorted = True\n i = 0\n while i + gap < len(lst):\n if lst[i] > lst[i + gap]:\n lst[i], lst[i + gap] = lst[i + gap], lst[i]\n i += 1\n return lst"} +{"task_id": "Mbpp/72", "solution": "def dif_Square(n):\n i = 0\n while i*i <= n:\n j = 0\n while j*j <= n:\n if i*i - j*j == n:\n return True\n j += 1\n i += 1\n return False"} +{"task_id": "Mbpp/74", "solution": "def is_samepatterns(patterns1, patterns2):\n return patterns1 == patterns2"} +{"task_id": "Mbpp/75", "solution": "def find_tuples(tuples_list, k):\n result = []\n for tup in tuples_list:\n if all(i % k == 0 for i in tup):\n result.append(tup)\n return result"} +{"task_id": "Mbpp/77", "solution": "def is_divisible_by_11(n):\n return n % 11 == 0\n\n# Test cases\nassert is_divisible_by_11(12345) == False"} +{"task_id": "Mbpp/79", "solution": "def word_len(word):\n return len(word) % 2 == 1"} +{"task_id": "Mbpp/80", "solution": "def tetrahedral_number(n):\n return n * (n + 1) * (n + 2) // 6"} +{"task_id": "Mbpp/82", "solution": "import math\ndef volume_sphere(radius):\n return (4/3) * math.pi * radius**3"} +{"task_id": "Mbpp/84", "solution": "def newman_conway(n):\n if n == 1:\n return \"1\"\n if n == 2:\n return \"1 1\"\n sequence = [1, 1]\n for i in range(2, n):\n sequence.append(sequence[sequence[i-1]-1] + sequence[i-sequence[i-1]])\n return ' '.join(map(str, sequence))\ndef sequence(n):\n return int(newman_conway(n).split()[-1])"} +{"task_id": "Mbpp/85", "solution": "import math\ndef surfacearea_sphere(radius):\n return 4 * math.pi * radius ** 2"} +{"task_id": "Mbpp/86", "solution": "def centered_hexagonal_number(n):\n return n*(7*n-5)//2 + 1"} +{"task_id": "Mbpp/87", "solution": "def merge_dictionaries_three(dict1, dict2, dict3):\n merged_dict = {**dict1, **dict2, **dict3}\n return merged_dict\ndict1 = { \"R\": \"Red\", \"B\": \"Black\", \"P\": \"Pink\" }\ndict2 = { \"G\": \"Green\", \"W\": \"White\" }\ndict3 = { \"O\": \"Orange\", \"W\": \"White\", \"B\": \"Black\" }"} +{"task_id": "Mbpp/88", "solution": "def freq_count(lst):\n freqs = {}\n for item in lst:\n if item in freqs:\n freqs[item] += 1\n else:\n freqs[item] = 1\n return freqs"} +{"task_id": "Mbpp/89", "solution": "def closest_num(n):\n # Convert the number to a string\n num_str = str(n)\n # Split the string into a list of characters\n num_list = list(num_str)\n # Iterate over the list from the end to the beginning\n for i in range(len(num_list) - 1, -1, -1):\n # If the current digit is greater than the next one\n if num_list[i] > num_list[i - 1]:\n # Decrease the next digit by 1\n num_list[i - 1] = str(int(num_list[i - 1]) - 1)\n # Set the current digit to 9\n num_list[i] = '9'\n # If the first digit is 0, remove it\n if num_list[0] == '0':\n num_list = num_list[1:]\n # Join the list back into a string\n result_str = ''.join(num_list)\n # Convert the string back to an integer\n result = int(result_str)\n return result"} +{"task_id": "Mbpp/90", "solution": "def len_longest_word(words):\n return max(len(word) for word in words)\n\nassert len_longest_word([\"python\",\"PHP\",\"bigdata\"]) == 7"} +{"task_id": "Mbpp/91", "solution": "def find_substring(lst, substr):\n for item in lst:\n if substr in item:\n return True\n return False"} +{"task_id": "Mbpp/92", "solution": "def is_undulating(n):\n n = str(n)\n if len(n) < 3:\n return False\n diff1 = int(n[1]) - int(n[0])\n for i in range(2, len(n)):\n diff = int(n[i]) - int(n[i-1])\n if diff != diff1:\n return False\n diff1 = diff\n return True"} +{"task_id": "Mbpp/93", "solution": "def power(a, b):\n return a ** b"} +{"task_id": "Mbpp/94", "solution": "def index_minimum(lst):\n return min(lst, key=lambda x: x[1])[0]"} +{"task_id": "Mbpp/95", "solution": "def Find_Min_Length(lst):\n return min(len(sub_lst) for sub_lst in lst)"} +{"task_id": "Mbpp/96", "solution": "def divisor(n):\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count"} +{"task_id": "Mbpp/97", "solution": "def flatten(lst):\n return [item for sublist in lst for item in sublist]\ndef frequency_lists(lst):\n flattened_list = flatten(lst)\n frequency_dict = {}\n for i in flattened_list:\n if i in frequency_dict:\n frequency_dict[i] += 1\n else:\n frequency_dict[i] = 1\n return frequency_dict"} +{"task_id": "Mbpp/98", "solution": "import math\ndef multiply_num(lst):\n if len(lst) == 0:\n return 0\n product = 1\n for num in lst:\n product *= num\n return product / len(lst)"} +{"task_id": "Mbpp/99", "solution": "def decimal_to_binary(n):\n return bin(n).replace(\"0b\", \"\")"} +{"task_id": "Mbpp/100", "solution": "def next_smallest_palindrome(n):\n while True:\n n += 1\n if str(n) == str(n)[::-1]: # Check if the number is a palindrome\n return n"} +{"task_id": "Mbpp/101", "solution": "def kth_element(arr, k):\n \"\"\"\n This function takes in a list and an integer k as arguments.\n It returns the kth element in the list using 1-based indexing.\n \"\"\"\n return arr[k-1]"} +{"task_id": "Mbpp/102", "solution": "def snake_to_camel(snake_str):\n components = snake_str.split('_')\n return ''.join(x.title() for x in components)"} +{"task_id": "Mbpp/103", "solution": "def eulerian_num(n, m):\n if m == 0 or m == n:\n return 1\n if n == 0:\n return 0\n return eulerian_num(n - 1, m) + eulerian_num(n, m - 1)"} +{"task_id": "Mbpp/104", "solution": "def sort_sublists(lst):\n return [sorted(sublist) for sublist in lst]"} +{"task_id": "Mbpp/105", "solution": "def count(lst):\n return sum(lst)"} +{"task_id": "Mbpp/106", "solution": "def add_lists(lst, tpl):\n return tpl + tuple(lst)"} +{"task_id": "Mbpp/108", "solution": "def merge_sorted_list(list1, list2, list3):\n # Merge the lists\n merged_list = list1 + list2 + list3\n # Sort the merged list\n merged_list.sort()\n return merged_list"} +{"task_id": "Mbpp/109", "solution": "def odd_Equivalent(binary_string, rotations):\n # Create a list to store the binary strings after each rotation\n rotated_strings = []\n\n # Perform the rotations\n for _ in range(rotations):\n binary_string = binary_string[-1:] + binary_string[:-1]\n rotated_strings.append(binary_string)\n\n # Count the number of odd equivalent binary strings\n count = 0\n for string in rotated_strings:\n if int(string, 2) % 2 != 0:\n count += 1\n\n return count"} +{"task_id": "Mbpp/111", "solution": "def common_in_nested_lists(nested_lists):\n # Convert the first list to a set\n common_set = set(nested_lists[0])\n\n # Iterate over the rest of the lists\n for lst in nested_lists[1:]:\n # Update the common set with the intersection of the current list and the common set\n common_set = common_set.intersection(set(lst))\n\n # Convert the common set back to a list and return it\n return list(common_set)"} +{"task_id": "Mbpp/113", "solution": "def check_integer(s):\n try:\n int(s)\n return True\n except ValueError:\n return False"} +{"task_id": "Mbpp/116", "solution": "def tuple_to_int(tup):\n return int(''.join(map(str, tup)))"} +{"task_id": "Mbpp/118", "solution": "def string_to_list(s):\n return s.split(\" \")"} +{"task_id": "Mbpp/119", "solution": "def search(nums):\n left, right = 0, len(nums) - 1\n while left < right:\n mid = (left + right) // 2\n if nums[mid] == nums[mid ^ 1]:\n left = mid + 1\n else:\n right = mid\n return nums[left]"} +{"task_id": "Mbpp/120", "solution": "def max_product_tuple(lst):\n max_product = float('-inf')\n for tup in lst:\n product = abs(tup[0] * tup[1])\n if product > max_product:\n max_product = product\n return max_product"} +{"task_id": "Mbpp/123", "solution": "def d(n):\n \"\"\"\n Function to calculate the sum of proper divisors of a number\n \"\"\"\n sum = 1\n i = 2\n while i * i <= n:\n if n % i:\n i += 1\n else:\n if i * (n // i) == n:\n sum = sum + i + n//i\n else:\n sum = sum + i\n i += 1\n return sum\ndef amicable_numbers_sum(limit):\n \"\"\"\n Function to calculate the sum of all amicable numbers up to a specified limit\n \"\"\"\n sum = 0\n for i in range(1, limit):\n if d(d(i)) == i and d(i) != i:\n sum += i\n return sum"} +{"task_id": "Mbpp/124", "solution": "import cmath\nimport math\ndef angle_complex(z):\n \"\"\"\n This function calculates the angle of a complex number.\n \"\"\"\n return cmath.phase(z)"} +{"task_id": "Mbpp/125", "solution": "def find_length(binary_string):\n max_diff = 0\n count_zero = 0\n count_one = 0\n\n for char in binary_string:\n if char == '0':\n count_zero += 1\n else:\n count_one += 1\n diff = count_one - count_zero\n if diff > max_diff:\n max_diff = diff\n return max_diff"} +{"task_id": "Mbpp/126", "solution": "def sum_common_divisors(num1, num2):\n def get_divisors(n):\n divisors = [1]\n for i in range(2, n // 2 + 1):\n if n % i == 0:\n divisors.append(i)\n divisors.append(n)\n return divisors\n\n return sum(set(get_divisors(num1)) & set(get_divisors(num2)))\n\n# Test the function\nassert sum_common_divisors(10, 15) == 6"} +{"task_id": "Mbpp/127", "solution": "def multiply_int(a, b):\n return a * b"} +{"task_id": "Mbpp/128", "solution": "def long_words(n, sentence):\n words = sentence.split()\n long_words = [word for word in words if len(word) > n]\n return long_words"} +{"task_id": "Mbpp/129", "solution": "def magic_square_test(matrix):\n # Get the size of the matrix\n size = len(matrix)\n\n # Calculate the sum of the first row\n magic_constant = sum(matrix[0])\n\n # Check rows\n for row in matrix:\n if sum(row) != magic_constant:\n return False\n\n # Check columns\n for i in range(size):\n if sum(row[i] for row in matrix) != magic_constant:\n return False\n\n # Check diagonals\n if sum(matrix[i][i] for i in range(size)) != magic_constant:\n return False\n if sum(matrix[i][size - i - 1] for i in range(size)) != magic_constant:\n return False\n\n # If all checks pass, the matrix is a magic square\n return True"} +{"task_id": "Mbpp/130", "solution": "def max_occurrences(lst):\n # Create a dictionary to store the frequency of each item\n freq_dict = {}\n for item in lst:\n if item in freq_dict:\n freq_dict[item] += 1\n else:\n freq_dict[item] = 1\n\n # Find the item with maximum frequency\n max_freq_item = max(freq_dict, key=freq_dict.get)\n return max_freq_item"} +{"task_id": "Mbpp/131", "solution": "def reverse_vowels(s):\n vowels = \"aeiouAEIOU\"\n vowels_in_s = [c for c in s if c in vowels]\n return \"\".join(vowels_in_s[::-1] + [c for c in s if c not in vowels])"} +{"task_id": "Mbpp/132", "solution": "def tup_string(tup):\n return ''.join(tup)"} +{"task_id": "Mbpp/133", "solution": "def sum_negativenum(numbers):\n return sum(num for num in numbers if num < 0)"} +{"task_id": "Mbpp/135", "solution": "def hexagonal_num(n):\n return n*(2*n-1)"} +{"task_id": "Mbpp/137", "solution": "import math\ndef zero_count(arr):\n zero_count = arr.count(0)\n non_zero_count = len(arr) - zero_count\n return zero_count / non_zero_count"} +{"task_id": "Mbpp/138", "solution": "def is_Sum_Of_Powers_Of_Two(n):\n if n < 0:\n return False\n while n > 0:\n if n % 2 == 1:\n n -= 1\n else:\n n /= 2\n return n == 0"} +{"task_id": "Mbpp/139", "solution": "import math\ndef circle_circumference(radius):\n return 2 * math.pi * radius"} +{"task_id": "Mbpp/140", "solution": "def extract_singly(lst):\n result = []\n for sublist in lst:\n for item in sublist:\n result.append(item)\n return result"} +{"task_id": "Mbpp/141", "solution": "def pancake_sort(lst):\n for i in range(len(lst), 0, -1):\n max_idx = lst.index(max(lst[:i]))\n if max_idx != i - 1:\n if max_idx != 0:\n lst[:i] = lst[max_idx::-1] + lst[i:]\n lst[:i] = lst[i - 1::-1] + lst[i:]\n return lst"} +{"task_id": "Mbpp/142", "solution": "def count_samepair(list1, list2, list3):\n count = 0\n for i in range(len(list1)):\n if list1[i] == list2[i] == list3[i]:\n count += 1\n return count"} +{"task_id": "Mbpp/145", "solution": "def max_Abs_Diff(arr):\n return max(abs(a - b) for a, b in zip(arr, arr[1:]))"} +{"task_id": "Mbpp/160", "solution": "def find_solution(a, b, n):\n for x in range(n+1):\n for y in range(n+1):\n if a*x + b*y == n:\n return (x, y)\n return None"} +{"task_id": "Mbpp/161", "solution": "def remove_elements(lst1, lst2):\n return [i for i in lst1 if i not in lst2]"} +{"task_id": "Mbpp/162", "solution": "def sum_series(n):\n total = 0\n while n > 0:\n total += n\n n -= 2\n return total"} +{"task_id": "Mbpp/165", "solution": "def count_char_position(s):\n s = s.lower()\n return sum(1 for i in range(len(s)) if s[i] == chr(97 + i))"} +{"task_id": "Mbpp/166", "solution": "def find_even_pair(lst):\n count = 0\n for i in range(len(lst)):\n for j in range(i+1, len(lst)):\n if lst[i] ^ lst[j] % 2 == 0:\n count += 1\n return count"} +{"task_id": "Mbpp/167", "solution": "def next_power_of_2(n):\n if n <= 0:\n return 1\n else:\n return 2 ** (n - 1).bit_length()"} +{"task_id": "Mbpp/168", "solution": "def frequency(lst, num):\n return lst.count(num)"} +{"task_id": "Mbpp/170", "solution": "def sum_range_list(lst, start, end):\n return sum(lst[start:end+1])"} +{"task_id": "Mbpp/171", "solution": "def perimeter_pentagon(side_length):\n return 5 * side_length"} +{"task_id": "Mbpp/172", "solution": "def count_occurance(s):\n return s.count('std')"} +{"task_id": "Mbpp/222", "solution": "def check_type(tup):\n return all(isinstance(x, type(tup[0])) for x in tup)"} +{"task_id": "Mbpp/223", "solution": "def is_majority(arr, n, elm):\n count = arr.count(elm)\n if count > n / 2:\n return True\n else:\n return False"} +{"task_id": "Mbpp/224", "solution": "def count_Set_Bits(n):\n return bin(n).count('1')"} +{"task_id": "Mbpp/226", "solution": "def odd_values_string(s):\n return s[::2]"} +{"task_id": "Mbpp/227", "solution": "def min_of_three(a, b, c):\n return min(a, b, c)"} +{"task_id": "Mbpp/230", "solution": "def replace_blank(s, c):\n return s.replace(' ', c)"} +{"task_id": "Mbpp/232", "solution": "def larg_num(lst, n):\n # Sort the list in descending order\n lst.sort(reverse=True)\n # Return the first n elements\n return lst[:n]\n\n# Test the function\nassert set(larg_num([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100], 2)) == set([100, 90])"} +{"task_id": "Mbpp/233", "solution": "import math"} +{"task_id": "Mbpp/234", "solution": "def volume_cube(side_length):\n \"\"\"\n This function calculates the volume of a cube given its side length.\n \"\"\"\n return side_length ** 3"} +{"task_id": "Mbpp/235", "solution": "def even_bit_set_number(n):\n binary = bin(n)[2:] # Convert to binary and remove '0b' prefix\n binary = '0' + binary # Add leading zero to make it 1-indexed\n binary = list(binary) # Convert to list for easy manipulation\n\n for i in range(0, len(binary), 2): # Go through every even index\n binary[i] = '1' # Set bit to 1\n\n return int(''.join(binary), 2) # Convert back to integer and return"} +{"task_id": "Mbpp/237", "solution": "def check_occurences(lst):\n count_dict = {}\n for tup in lst:\n if tup in count_dict:\n count_dict[tup] += 1\n else:\n count_dict[tup] = 1\n return count_dict"} +{"task_id": "Mbpp/238", "solution": "def number_of_substrings(s):\n n = len(s)\n return n * (n + 1) // 2"} +{"task_id": "Mbpp/239", "solution": "def get_total_number_of_sequences(m, n):\n # Initialize a list to store the sequences\n sequences = [[[i]] for i in range(1, min(m, n) + 1)]\n\n # Iterate over the length of the sequences\n for j in range(1, n):\n # Iterate over the possible starting numbers\n for i in range(1, m + 1):\n # Iterate over the sequences of length j\n for seq in sequences[j - 1]:\n # If the last number in the sequence is less than i, add a new sequence\n if seq[-1] < i:\n sequences[j].append(seq + [i])\n\n # Return the total number of sequences\n return len(sequences[-1])"} +{"task_id": "Mbpp/240", "solution": "def replace_list(list1, list2):\n list1[-1:] = list2\n return list1"} +{"task_id": "Mbpp/242", "solution": "def count_charac(string):\n return len(string)"} +{"task_id": "Mbpp/244", "solution": "def next_Perfect_Square(n):\n # Calculate the square root of the given number\n root = n ** 0.5\n\n # If the square root is not an integer, increment it by 1\n if not root.is_integer():\n root = int(root) + 1\n else:\n root = int(root)\n\n # Return the square of the root\n return root ** 2"} +{"task_id": "Mbpp/245", "solution": "def max_sum(arr):\n n = len(arr)\n if n < 3:\n return sum(arr)\n\n # Initialize variables\n inc = [0]*n\n dec = [0]*n\n\n # Calculate increasing subsequence values\n for i in range(1, n):\n for j in range(i):\n if arr[i] > arr[j] and inc[i] < inc[j] + arr[i]:\n inc[i] = inc[j] + arr[i]\n if inc[i] == 0:\n inc[i] = arr[i]\n\n # Calculate decreasing subsequence values\n for i in range(n-2, -1, -1):\n for j in range(n-1, i, -1):\n if arr[i] > arr[j] and dec[i] < dec[j] + arr[i]:\n dec[i] = dec[j] + arr[i]\n if dec[i] == 0:\n dec[i] = arr[i]\n\n # Find maximum sum of bitonic subsequence\n bitonic = [0]*n\n for i in range(n):\n bitonic[i] = inc[i] + dec[i] - arr[i]\n\n return max(bitonic)"} +{"task_id": "Mbpp/247", "solution": "def lps(s):\n n = len(s)\n dp = [[0]*n for _ in range(n)]\n for i in range(n-1, -1, -1):\n dp[i][i] = 1\n for j in range(i+1, n):\n if s[i] == s[j]:\n dp[i][j] = 2 + dp[i+1][j-1]\n else:\n dp[i][j] = max(dp[i+1][j], dp[i][j-1])\n return dp[0][n-1]"} +{"task_id": "Mbpp/250", "solution": "def count_X(tup, elem):\n return tup.count(elem)"} +{"task_id": "Mbpp/251", "solution": "def insert_element(lst, element):\n result = []\n for i in lst:\n result.extend([element, i])\n return result"} +{"task_id": "Mbpp/252", "solution": "import cmath\ndef convert(complex_num):\n \"\"\"\n This function converts a complex number to polar coordinates.\n \"\"\"\n # Convert the complex number to polar coordinates using cmath.polar\n r, phi = cmath.polar(complex_num)\n # Return the polar coordinates as a tuple\n return (r, phi)"} +{"task_id": "Mbpp/253", "solution": "def count_integer(lst):\n return sum(1 for i in lst if isinstance(i, int))"} +{"task_id": "Mbpp/255", "solution": "from itertools import product\ndef combinations_colors(lst, n):\n return list(product(*([lst]*n)))"} +{"task_id": "Mbpp/256", "solution": "def count_Primes_nums(n):\n if n < 2:\n return 0\n primes = [True] * n\n p = 2\n while p * p <= n:\n if primes[p]:\n for i in range(p * p, n, p):\n primes[i] = False\n p += 1\n return sum(primes) - 2 # subtract 2 to exclude 0 and 1"} +{"task_id": "Mbpp/257", "solution": "def swap_numbers(a, b):\n return b, a"} +{"task_id": "Mbpp/259", "solution": "def maximize_elements(t1, t2):\n return tuple(max(a, b) for a, b in zip(t1, t2))"} +{"task_id": "Mbpp/260", "solution": "def newman_prime(n):\n def is_prime(num):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n count = 0\n num = 2\n while True:\n if is_prime(num):\n count += 1\n if count == n:\n return num\n num += 1"} +{"task_id": "Mbpp/261", "solution": "def division_elements(t1, t2):\n return tuple(map(lambda x, y: x / y, t1, t2))"} +{"task_id": "Mbpp/262", "solution": "def split_two_parts(lst, L):\n return (lst[:L], lst[L:])"} +{"task_id": "Mbpp/264", "solution": "def dog_age(human_years):\n if human_years <= 2:\n return human_years * 10.5\n else:\n return 21 + (human_years - 2) * 4"} +{"task_id": "Mbpp/265", "solution": "def list_split(lst, n):\n return [lst[i:i + n] for i in range(0, len(lst), n)]"} +{"task_id": "Mbpp/266", "solution": "def lateralsurface_cube(side_length):\n return 4 * side_length ** 2"} +{"task_id": "Mbpp/267", "solution": "def square_Sum(n):\n sum = 0\n for i in range(1, 2*n, 2):\n sum += i*i\n return sum"} +{"task_id": "Mbpp/268", "solution": "def find_star_num(n):\n return n*(7*n - 5)//2"} +{"task_id": "Mbpp/269", "solution": "def ascii_value(char):\n return ord(char)"} +{"task_id": "Mbpp/270", "solution": "def sum_even_and_even_index(lst):\n return sum(val for idx, val in enumerate(lst) if idx % 2 == 0 and val % 2 == 0)"} +{"task_id": "Mbpp/271", "solution": "def even_Power_Sum(n):\n sum = 0\n for i in range(2, 2*n+1, 2):\n sum += i**5\n return sum"} +{"task_id": "Mbpp/272", "solution": "def rear_extract(lst):\n return [i[-1] for i in lst]"} +{"task_id": "Mbpp/273", "solution": "def substract_elements(t1, t2):\n return tuple(x1 - x2 for x1, x2 in zip(t1, t2))"} +{"task_id": "Mbpp/274", "solution": "def even_binomial_Coeff_Sum(n):\n # Initialize the sum to 0\n sum = 0\n # Loop through the range of n\n for i in range(n+1):\n # Check if the index is even\n if i % 2 == 0:\n # Calculate the binomial coefficient and add it to the sum\n sum += binomial_coefficient(n, i)\n return sum\ndef binomial_coefficient(n, k):\n # Calculate the binomial coefficient using the formula nCk = n! / [(n-k)! * k!]\n return factorial(n) / (factorial(n-k) * factorial(k))\ndef factorial(n):\n # Calculate the factorial of a number using a loop\n if n == 0:\n return 1\n else:\n fact = 1\n for i in range(1, n+1):\n fact *= i\n return fact"} +{"task_id": "Mbpp/276", "solution": "import math\ndef volume_cylinder(radius, height):\n return math.pi * radius**2 * height"} +{"task_id": "Mbpp/277", "solution": "def dict_filter(d, n):\n return {k: v for k, v in d.items() if v >= n}"} +{"task_id": "Mbpp/278", "solution": "def count_first_elements(tup):\n count = 0\n for i in tup:\n if isinstance(i, tuple):\n break\n count += 1\n return count"} +{"task_id": "Mbpp/279", "solution": "def is_num_decagonal(n):\n return n*(7*n-5)//2"} +{"task_id": "Mbpp/280", "solution": "def sequential_search(array, element):\n for i in range(len(array)):\n if array[i] == element:\n return (True, i)\n return (False, -1)"} +{"task_id": "Mbpp/281", "solution": "def all_unique(lst):\n return len(lst) == len(set(lst))"} +{"task_id": "Mbpp/282", "solution": "def sub_list(list1, list2):\n return [a - b for a, b in zip(list1, list2)]"} +{"task_id": "Mbpp/283", "solution": "def validate(n):\n # Convert the integer to a string to easily access each digit\n str_n = str(n)\n # Iterate over each digit in the string representation of the integer\n for digit in str_n:\n # Count the number of times the digit appears in the string representation of the integer\n count = str_n.count(digit)\n # If the count is greater than the digit itself, return False\n if count > int(digit):\n return False\n # If we've gone through all the digits without finding a count that's greater than the digit, return True\n return True"} +{"task_id": "Mbpp/284", "solution": "def check_element(lst, elm):\n return all(i == elm for i in lst)"} +{"task_id": "Mbpp/285", "solution": "import re\ndef text_match_two_three(text):\n pattern = 'ab{2,3}'\n if re.search(pattern, text):\n return True\n else:\n return False"} +{"task_id": "Mbpp/286", "solution": "def max_sub_array_sum_repeated(arr, k, n):\n # Calculate the sum of the array\n total_sum = sum(arr)\n\n # Calculate the sum of the array repeated k times\n repeated_sum = total_sum * k\n\n # Calculate the maximum subarray sum using Kadane's algorithm\n max_sum = current_sum = repeated_sum\n for i in range(n):\n current_sum = max(arr[i], current_sum + arr[i])\n max_sum = max(max_sum, current_sum)\n\n return max_sum"} +{"task_id": "Mbpp/287", "solution": "def square_Sum(n):\n sum = 0\n for i in range(1, n+1):\n sum += i*i\n return sum*2"} +{"task_id": "Mbpp/290", "solution": "def max_length(lst):\n max_len = max(len(sub_lst) for sub_lst in lst)\n max_sub_lst = [sub_lst for sub_lst in lst if len(sub_lst) == max_len]\n return max_len, max_sub_lst[0]"} +{"task_id": "Mbpp/292", "solution": "def find(num1, num2):\n return num1 // num2"} +{"task_id": "Mbpp/293", "solution": "import math\ndef otherside_rightangle(base, height):\n \"\"\"\n This function calculates the length of the third side of a right-angled triangle.\n It takes two arguments: base and height of the right-angled triangle.\n It returns the length of the third side.\n \"\"\"\n return math.sqrt(base**2 + height**2)"} +{"task_id": "Mbpp/294", "solution": "def max_val(lst):\n max_value = None\n for item in lst:\n if isinstance(item, int) or isinstance(item, float):\n if max_value is None or item > max_value:\n max_value = item\n return max_value"} +{"task_id": "Mbpp/296", "solution": "def get_Inv_Count(arr):\n inv_count = 0\n for i in range(len(arr)):\n for j in range(i + 1, len(arr)):\n if arr[i] > arr[j]:\n inv_count += 1\n return inv_count"} +{"task_id": "Mbpp/297", "solution": "def flatten_list(nested_list):\n flat_list = []\n for i in nested_list:\n if isinstance(i, list):\n flat_list.extend(flatten_list(i))\n else:\n flat_list.append(i)\n return flat_list"} +{"task_id": "Mbpp/299", "solution": "def max_aggregate(lst):\n # Create a dictionary to store the sum of scores for each name\n scores = {}\n for name, score in lst:\n if name in scores:\n scores[name] += score\n else:\n scores[name] = score\n\n # Find the name with the maximum score\n max_score = max(scores.values())\n max_name = [name for name, score in scores.items() if score == max_score][0]\n\n return (max_name, max_score)"} +{"task_id": "Mbpp/300", "solution": "def count_binary_seq(n):\n # Initialize a list to store the count of binary sequences\n # for each possible sum of the first n bits\n counts = [0] * (2*n + 1)\n\n # Initialize the count of binary sequences for n=0\n counts[0] = 1\n\n # Iterate over each bit position from 0 to 2n-1\n for _ in range(2*n):\n # Iterate over each possible sum of the first n bits\n for j in range(2*n, -1, -1):\n # Update the count of binary sequences for the next bit position\n counts[j] = counts[j] * 2 + (counts[j-1] if j > 0 else 0)\n\n # Return the count of binary sequences where the sum of the first n bits is the same as the sum of the last n bits\n return counts[n]"} +{"task_id": "Mbpp/301", "solution": "def dict_depth(d):\n if not isinstance(d, dict) or not d:\n return 1\n return 1 + max(dict_depth(v) for v in d.values())"} +{"task_id": "Mbpp/305", "solution": "def start_withp(words_list):\n for words in words_list:\n for word in words.split():\n if word.lower().startswith('p'):\n return word,"} +{"task_id": "Mbpp/306", "solution": "def max_sum_increasing_subseq(arr, n, k, i):\n # Initialize the dp array with the given array values\n dp = arr[:]\n # Initialize the max_sum variable with the value at the kth index\n max_sum = arr[k]\n # Iterate over the array from the (i+1)th index to the end\n for j in range(i+1, n):\n # Iterate over the array from the 0th index to the (i-1)th index\n for x in range(0, i):\n # If the current element is greater than the (i-1)th element and the sum of the dp[x] and the current element is greater than the dp[j]\n if arr[j] > arr[x] and dp[x] + arr[j] > dp[j]:\n # Update the dp[j] with the new sum\n dp[j] = dp[x] + arr[j]\n # Update the max_sum with the maximum of the current max_sum and the dp[j]\n max_sum = max(max_sum, dp[j])\n # Return the max_sum\n return max_sum"} +{"task_id": "Mbpp/308", "solution": "def large_product(list1, list2, n):\n products = [(x * y) for x in list1 for y in list2]\n products.sort(reverse=True)\n return products[:n]"} +{"task_id": "Mbpp/309", "solution": "def maximum(num1, num2):\n if num1 > num2:\n return num1\n else:\n return num2"} +{"task_id": "Mbpp/310", "solution": "def string_to_tuple(s):\n return tuple(s)"} +{"task_id": "Mbpp/311", "solution": "def set_left_most_unset_bit(n):\n if n == 0:\n return 1\n if n % 2 == 1:\n return n\n else:\n return n + 1"} +{"task_id": "Mbpp/312", "solution": "import math\ndef volume_cone(radius, height):\n return (1/3) * math.pi * radius**2 * height"} +{"task_id": "Mbpp/388", "solution": "def highest_Power_of_2(n):\n i = 0\n while 2 ** i <= n:\n i += 1\n return 2 ** (i - 1)"} +{"task_id": "Mbpp/389", "solution": "def find_lucas(n):\n if n == 0:\n return 2\n if n == 1:\n return 1\n lucas_numbers = [2, 1]\n for i in range(2, n + 1):\n lucas_numbers.append(lucas_numbers[i - 1] + lucas_numbers[i - 2])\n return lucas_numbers[n]"} +{"task_id": "Mbpp/390", "solution": "def add_string(lst, fmt_str):\n return [fmt_str.format(i) for i in lst]"} +{"task_id": "Mbpp/391", "solution": "def convert_list_dictionary(keys, names, values):\n result = []\n for i in range(len(keys)):\n temp_dict = {keys[i]: {names[i]: values[i]}}\n result.append(temp_dict)\n return result\nkeys = [\"S001\", \"S002\", \"S003\", \"S004\"]\nnames = [\"Adina Park\", \"Leyton Marsh\", \"Duncan Boyle\", \"Saim Richards\"]\nvalues = [85, 98, 89, 92]"} +{"task_id": "Mbpp/392", "solution": "def get_max_sum(n):\n if n <= 1:\n return n\n else:\n return max(get_max_sum(n/2) + get_max_sum(n/3) + get_max_sum(n/4) + get_max_sum(n/5), n)"} +{"task_id": "Mbpp/394", "solution": "def check_distinct(tup):\n return len(tup) == len(set(tup))"} +{"task_id": "Mbpp/395", "solution": "def first_non_repeating_character(s):\n char_count = {}\n for char in s:\n if char in char_count:\n char_count[char] += 1\n else:\n char_count[char] = 1\n for char in s:\n if char_count[char] == 1:\n return char\n return None"} +{"task_id": "Mbpp/397", "solution": "def median_numbers(a, b, c):\n \"\"\"\n This function takes three numbers as input and returns their median.\n \"\"\"\n # Sort the numbers\n numbers = sorted([a, b, c])\n \n # Return the middle number\n return numbers[1]"} +{"task_id": "Mbpp/398", "solution": "def sum_of_digits(lst):\n return [sum(int(digit) for digit in str(num)) for num in lst]"} +{"task_id": "Mbpp/404", "solution": "def minimum(a, b):\n if a < b:\n return a\n else:\n return b"} +{"task_id": "Mbpp/405", "solution": "def check_tuplex(tuplex, element):\n return element in tuplex"} +{"task_id": "Mbpp/406", "solution": "def find_Parity(n):\n return n % 2 != 0"} +{"task_id": "Mbpp/409", "solution": "def min_product_tuple(lst):\n return min(x*y for x, y in lst)"} +{"task_id": "Mbpp/410", "solution": "def min_val(lst):\n # Filter out non-numeric values and find the minimum\n min_val = min([i for i in lst if isinstance(i, (int, float))])\n return min_val"} +{"task_id": "Mbpp/412", "solution": "def remove_odd(numbers):\n return [num for num in numbers if num % 2 == 0]"} +{"task_id": "Mbpp/413", "solution": "def extract_nth_element(lst, n):\n return [x[n] for x in lst]"} +{"task_id": "Mbpp/414", "solution": "def overlapping(seq1, seq2):\n for i in seq1:\n if i in seq2:\n return True\n return False"} +{"task_id": "Mbpp/415", "solution": "def max_Product(arr):\n arr.sort()\n return (arr[-1], arr[-2]) if arr[-1] * arr[-2] > arr[0] * arr[1] else (arr[0], arr[1])"} +{"task_id": "Mbpp/418", "solution": "def Find_Max(lst):\n max_len = max(len(sublist) for sublist in lst)\n for sublist in lst:\n if len(sublist) == max_len:\n return sublist"} +{"task_id": "Mbpp/419", "solution": "def round_and_sum(numbers):\n rounded_numbers = [round(num) for num in numbers]\n total_sum = sum(rounded_numbers)\n result = total_sum * len(rounded_numbers)\n return result"} +{"task_id": "Mbpp/420", "solution": "def cube_Sum(n):\n sum = 0\n for i in range(1, n+1):\n sum += i*2*i\n return sum"} +{"task_id": "Mbpp/421", "solution": "def concatenate_tuple(tup):\n return '-'.join(str(i) for i in tup)"} +{"task_id": "Mbpp/422", "solution": "def find_Average_Of_Cube(n):\n sum_of_cubes = sum([i**3 for i in range(1, n+1)])\n average = sum_of_cubes / n\n return average"} +{"task_id": "Mbpp/424", "solution": "def extract_rear(tup):\n return [s[-1] for s in tup]"} +{"task_id": "Mbpp/425", "solution": "def count_element_in_list(lst, element):\n count = 0\n for sublist in lst:\n if element in sublist:\n count += 1\n return count"} +{"task_id": "Mbpp/426", "solution": "def filter_oddnumbers(numbers):\n return [num for num in numbers if num % 2 == 0]"} +{"task_id": "Mbpp/427", "solution": "def change_date_format(date):\n # Split the date into year, month, and day\n year, month, day = date.split('-')\n # Return the date in the desired format\n return '{}-{}-{}'.format(day, month, year)"} +{"task_id": "Mbpp/428", "solution": "def shell_sort(arr):\n n = len(arr)\n gap = n//2\n\n while gap > 0:\n for i in range(gap,n):\n temp = arr[i]\n j = i\n while j >= gap and arr[j-gap] >temp:\n arr[j] = arr[j-gap]\n j -= gap\n arr[j] = temp\n gap //= 2\n return arr"} +{"task_id": "Mbpp/429", "solution": "def and_tuples(t1, t2):\n return tuple(x & y for x, y in zip(t1, t2))"} +{"task_id": "Mbpp/430", "solution": "def parabola_directrix(a, h, k):\n \"\"\"\n Function to find the directrix of a parabola.\n The directrix of a parabola is the line that is perpendicular to the x-axis and intersects the parabola at its vertex.\n The equation of a parabola is y = a*(x-h)^2 + k.\n The equation of the directrix is x = h.\n The function takes three parameters: a, h, and k.\n It returns the y-coordinate of the directrix.\n \"\"\"\n return a * (h - h) ** 2 + k"} +{"task_id": "Mbpp/432", "solution": "def median_trapezium(a, b, c):\n \"\"\"\n This function calculates the median length of a trapezium.\n The median of a trapezium is the length of the line segment that divides the trapezium into two equal parts.\n The lengths of the parallel sides of the trapezium are given by a, b, and c.\n The median is calculated as (a+b+c)/2.\n \"\"\"\n return (a + b + c) / 2"} +{"task_id": "Mbpp/433", "solution": "def check_greater(arr, num):\n for i in arr:\n if i <= num:\n return False\n return True"} +{"task_id": "Mbpp/435", "solution": "def last_Digit(n):\n return n % 10"} +{"task_id": "Mbpp/436", "solution": "def neg_nos(lst):\n return [num for num in lst if num < 0]"} +{"task_id": "Mbpp/437", "solution": "def remove_odd(s):\n return s[::2]"} +{"task_id": "Mbpp/439", "solution": "def multiple_to_single(nums):\n return int(''.join(map(str, nums)))"} +{"task_id": "Mbpp/440", "solution": "import nltk\nfrom nltk.tokenize import word_tokenize\nfrom nltk.corpus import stopwords\ndef find_adverb_position(sentence):\n stop_words = set(stopwords.words('english'))\n words = word_tokenize(sentence)\n pos_tags = nltk.pos_tag(words)\n\n for i in range(len(pos_tags)):\n word, tag = pos_tags[i]\n if tag in ['RB', 'RBR', 'RBS', 'WRB'] and word not in stop_words:\n return i, i+1, word\n\n return None"} +{"task_id": "Mbpp/441", "solution": "def surfacearea_cube(side_length):\n return 6 * side_length ** 2"} +{"task_id": "Mbpp/445", "solution": "def index_multiplication(tuples):\n tuple1, tuple2 = tuples\n result = []\n for i in range(len(tuple1)):\n result.append(tuple(a*b for a, b in zip(tuple1[i], tuple2[i])))\n return tuple(result)"} +{"task_id": "Mbpp/446", "solution": "def count_Occurrence(tup, lst):\n count = 0\n for element in lst:\n count += tup.count(element)\n return count"} +{"task_id": "Mbpp/447", "solution": "def cube_nums(nums):\n return [num**3 for num in nums]"} +{"task_id": "Mbpp/448", "solution": "def cal_sum(n):\n # Initialize the first three Perrin numbers\n perrin = [3, 0, 2]\n \n # Calculate the rest of the Perrin numbers\n for i in range(3, n):\n perrin.append(perrin[i-2] + perrin[i-1] + 1)\n \n # Return the sum of the first n Perrin numbers\n return sum(perrin[:n])"} +{"task_id": "Mbpp/450", "solution": "def extract_string(lst, size):\n return [s for s in lst if len(s) == size]"} +{"task_id": "Mbpp/451", "solution": "def remove_whitespaces(input_string):\n return input_string.replace(\" \", \"\")"} +{"task_id": "Mbpp/453", "solution": "def sumofFactors(n):\n sum = 0\n for i in range(1, n+1):\n if n % i == 0 and i % 2 == 0:\n sum += i\n return sum"} +{"task_id": "Mbpp/454", "solution": "import re\ndef text_match_wordz(text):\n pattern = r'\\b\\w*z\\w*\\b'\n if re.search(pattern, text):\n return True\n else:\n return False"} +{"task_id": "Mbpp/455", "solution": "def check_month_number(month_number):\n # Months with 31 days: January, March, May, July, August, October, December\n thirty_one_days_months = [1, 3, 5, 7, 8, 10, 12]\n if month_number in thirty_one_days_months:\n return True\n else:\n return False\n\n# Test the function\nassert check_month_number(5) == True"} +{"task_id": "Mbpp/456", "solution": "def reverse_string_list(lst):\n return [s[::-1] for s in lst]"} +{"task_id": "Mbpp/457", "solution": "def Find_Min(lst):\n return min(lst, key=len)"} +{"task_id": "Mbpp/458", "solution": "def rectangle_area(length, width):\n \"\"\"\n This function calculates the area of a rectangle.\n \"\"\"\n return length * width"} +{"task_id": "Mbpp/459", "solution": "def remove_uppercase(s):\n return ''.join([c for c in s if not c.isupper()])"} +{"task_id": "Mbpp/460", "solution": "def Extract(lst):\n return [sublist[0] for sublist in lst]"} +{"task_id": "Mbpp/462", "solution": "from itertools import chain, combinations\ndef combinations_list(lst):\n return list(chain(*[combinations(lst, i) for i in range(len(lst) + 1)]))"} +{"task_id": "Mbpp/463", "solution": "def max_subarray_product(nums):\n if not nums:\n return 0\n\n max_product = min_product = result = nums[0]\n\n for i in range(1, len(nums)):\n if nums[i] < 0:\n max_product, min_product = min_product, max_product\n\n max_product = max(nums[i], max_product * nums[i])\n min_product = min(nums[i], min_product * nums[i])\n\n result = max(result, max_product)\n\n return result"} +{"task_id": "Mbpp/465", "solution": "def drop_empty(d):\n return {k: v for k, v in d.items() if v is not None}"} +{"task_id": "Mbpp/468", "solution": "def max_product(arr):\n n = len(arr)\n if n < 2:\n return None\n\n max_ending_here = max_ending_so_far = arr[0]\n for i in range(1, n):\n if arr[i] < 0:\n max_ending_here, max_ending_so_far = max_ending_so_far, max_ending_here\n max_ending_here = max(arr[i], max_ending_here * arr[i])\n max_ending_so_far = max(max_ending_so_far, max_ending_here)\n\n return max_ending_so_far"} +{"task_id": "Mbpp/470", "solution": "def add_pairwise(tup):\n return tuple(tup[i] + tup[i + 1] for i in range(len(tup) - 1))"} +{"task_id": "Mbpp/471", "solution": "def find_remainder(arr, n):\n product = 1\n for num in arr:\n product = (product * num) % n\n return product"} +{"task_id": "Mbpp/472", "solution": "def check_Consecutive(lst):\n return sorted(lst) == list(range(min(lst), max(lst)+1))"} +{"task_id": "Mbpp/473", "solution": "def tuple_intersection(tuples1, tuples2):\n # Convert tuples to sets and find intersection\n set1 = set(tuples1)\n set2 = set(tuples2)\n intersection = set1 & set2\n\n # Convert sets back to tuples and return\n return set(intersection)"} +{"task_id": "Mbpp/474", "solution": "def replace_char(s, old_char, new_char):\n return s.replace(old_char, new_char)"} +{"task_id": "Mbpp/475", "solution": "def sort_dict_by_value(d):\n return sorted(d.items(), key=lambda x: x[1], reverse=True)\n\nassert sort_dict_by_value({'Math':81, 'Physics':83, 'Chemistry':87})==[('Chemistry', 87), ('Physics', 83), ('Math', 81)]"} +{"task_id": "Mbpp/476", "solution": "def big_sum(arr):\n return max(arr) + min(arr)"} +{"task_id": "Mbpp/477", "solution": "def to_lower(s):\n return s.lower()\n\nassert to_lower(\"InValid\") == \"invalid\""} +{"task_id": "Mbpp/478", "solution": "def remove_lowercase(s):\n return ''.join([c for c in s if c.isupper()])"} +{"task_id": "Mbpp/479", "solution": "def first_Digit(n):\n while n >= 10:\n n /= 10\n return int(n)"} +{"task_id": "Mbpp/554", "solution": "def get_odd_numbers(numbers):\n return [num for num in numbers if num % 2 != 0]\n\nassert get_odd_numbers([1,2,3,4,5,6]) == [1,3,5]"} +{"task_id": "Mbpp/555", "solution": "def difference(n):\n sum_of_cubes = sum([i**3 for i in range(1, n+1)])\n sum_of_numbers = sum([i for i in range(1, n+1)])\n return sum_of_cubes - sum_of_numbers"} +{"task_id": "Mbpp/556", "solution": "def find_Odd_Pair(arr, n):\n # Initialize count of odd pairs\n odd_count = 0\n\n # Traverse through all pairs of arr[i] and arr[j]\n for i in range(0, n):\n for j in range(i + 1, n):\n\n # If XOR of arr[i] and arr[j] is odd\n if (arr[i] ^ arr[j]) & 1:\n odd_count += 1\n\n return odd_count"} +{"task_id": "Mbpp/557", "solution": "def toggle_string(s):\n return s.swapcase()"} +{"task_id": "Mbpp/558", "solution": "def digit_distance_nums(num1, num2):\n # Convert numbers to strings to easily access digits\n num1, num2 = str(num1), str(num2)\n # Initialize sum of digit differences\n sum_diff = 0\n # Iterate over each digit in the numbers\n for digit1, digit2 in zip(num1, num2):\n # Add the absolute difference between the digits to the sum\n sum_diff += abs(int(digit1) - int(digit2))\n return sum_diff"} +{"task_id": "Mbpp/559", "solution": "def max_sub_array_sum(lst, n):\n max_sum = 0\n for i in range(n):\n for j in range(i+1, n+1):\n sub_array_sum = sum(lst[i:j])\n if sub_array_sum > max_sum:\n max_sum = sub_array_sum\n return max_sum"} +{"task_id": "Mbpp/560", "solution": "def union_elements(t1, t2):\n return tuple(sorted(set(t1 + t2)))"} +{"task_id": "Mbpp/562", "solution": "def Find_Max_Length(lst):\n return max(len(sublist) for sublist in lst)"} +{"task_id": "Mbpp/563", "solution": "import re\ndef extract_values(s):\n return re.findall(r'\"([^\"]*)\"', s)"} +{"task_id": "Mbpp/564", "solution": "def count_Pairs(lst, n):\n count = 0\n for i in range(n):\n for j in range(i+1, n):\n if lst[i] != lst[j]:\n count += 1\n return count"} +{"task_id": "Mbpp/565", "solution": "def split_string(s):\n return list(s)\n\nassert split_string('python') == ['p','y','t','h','o','n']"} +{"task_id": "Mbpp/566", "solution": "def sum_digits(n):\n return sum(int(digit) for digit in str(n))"} +{"task_id": "Mbpp/567", "solution": "def is_sorted_list(lst):\n return all(lst[i] <= lst[i + 1] for i in range(len(lst) - 1))\n\n# Test the function\nassert is_sorted_list([1,2,4,6,8,10,12,14,16,17]) == True"} +{"task_id": "Mbpp/568", "solution": "def empty_list(n):\n return [{} for _ in range(n)]"} +{"task_id": "Mbpp/569", "solution": "def sort_sublists(lst):\n return [sorted(sublist) for sublist in lst]"} +{"task_id": "Mbpp/572", "solution": "def two_unique_nums(lst):\n unique_nums = []\n for num in lst:\n if num not in unique_nums:\n unique_nums.append(num)\n return unique_nums"} +{"task_id": "Mbpp/573", "solution": "def unique_product(lst):\n unique_nums = set(lst)\n product = 1\n for num in unique_nums:\n product *= num\n return product"} +{"task_id": "Mbpp/576", "solution": "def is_Sub_Array(main_list, sub_list):\n return sub_list in main_list"} +{"task_id": "Mbpp/577", "solution": "def last_Digit_Factorial(n):\n if n == 0:\n return 1\n else:\n last_digit = 1\n for i in range(1, n + 1):\n last_digit *= i\n while last_digit % 10 == 0:\n last_digit //= 10\n last_digit %= 10\n return last_digit"} +{"task_id": "Mbpp/578", "solution": "def interleave_lists(list1, list2, list3):\n return [val for pair in zip(list1, list2, list3) for val in pair]"} +{"task_id": "Mbpp/579", "solution": "def find_dissimilar(t1, t2):\n return tuple(set(t1).symmetric_difference(set(t2)))"} +{"task_id": "Mbpp/580", "solution": "def extract_even(tup):\n result = []\n for item in tup:\n if isinstance(item, tuple):\n new_item = extract_even(item)\n if new_item:\n result.append(new_item)\n elif item % 2 == 0:\n result.append(item)\n return tuple(result)"} +{"task_id": "Mbpp/581", "solution": "def surface_Area(base_edge, height):\n # Calculate the surface area of a square pyramid\n # Formula: A = 1/3 * base_area * height + 1/2 * base_perimeter * height\n base_area = base_edge ** 2\n base_perimeter = 4 * base_edge\n surface_area = 1/3 * base_area * height + 1/2 * base_perimeter * height\n return surface_area"} +{"task_id": "Mbpp/583", "solution": "def catalan_number(n):\n if n <= 1:\n return 1\n\n catalan = [0 for _ in range(n+1)]\n catalan[0] = 1\n catalan[1] = 1\n\n for i in range(2, n+1):\n for j in range(i):\n catalan[i] += catalan[j] * catalan[i-j-1]\n\n return catalan[n]"} +{"task_id": "Mbpp/585", "solution": "def expensive_items(dataset, n):\n # Sort the dataset by price in descending order\n sorted_dataset = sorted(dataset, key=lambda x: x['price'], reverse=True)\n # Return the first n items from the sorted dataset\n return sorted_dataset[:n]"} +{"task_id": "Mbpp/586", "solution": "def split_Arr(arr, n):\n return arr[n:] + arr[:n]"} +{"task_id": "Mbpp/587", "solution": "def list_tuple(lst):\n return tuple(lst)"} +{"task_id": "Mbpp/588", "solution": "def big_diff(lst):\n if lst:\n return max(lst) - min(lst)\n else:\n return 0"} +{"task_id": "Mbpp/589", "solution": "def perfect_squares(start, end):\n return [i**2 for i in range(int(start**0.5), int(end**0.5)+1)]"} +{"task_id": "Mbpp/590", "solution": "import cmath\ndef polar_rect(r, theta):\n x = r * cmath.cos(theta)\n y = r * cmath.sin(theta)\n return (x.real, y.real)"} +{"task_id": "Mbpp/591", "solution": "def swap_List(lst):\n # Swap first and last elements\n lst[0], lst[-1] = lst[-1], lst[0]\n return lst"} +{"task_id": "Mbpp/592", "solution": "import math\ndef sum_Of_product(n):\n sum_product = 0\n for i in range(1, n):\n sum_product += math.comb(n, i) * math.comb(n, i+1)\n return sum_product"} +{"task_id": "Mbpp/593", "solution": "def removezero_ip(ip):\n ip_parts = ip.split('.')\n ip_parts = [str(int(part)) for part in ip_parts]\n return '.'.join(ip_parts)"} +{"task_id": "Mbpp/594", "solution": "def diff_even_odd(lst):\n even = next((x for x in lst if x % 2 == 0), None)\n odd = next((x for x in lst if x % 2 != 0), None)\n return even - odd if even and odd else None"} +{"task_id": "Mbpp/596", "solution": "import sys\ndef tuple_size(t):\n return sys.getsizeof(t)"} +{"task_id": "Mbpp/597", "solution": "def find_kth(nums1, nums2, k):\n \"\"\"\n Find kth element from the given two sorted arrays.\n \"\"\"\n # Merge the two sorted arrays\n merged = sorted(nums1 + nums2)\n # Return the kth element\n return merged[k - 1]"} +{"task_id": "Mbpp/598", "solution": "def armstrong_number(num):\n # Convert the number to string to find its length (number of digits)\n num_str = str(num)\n num_len = len(num_str)\n\n # Calculate the sum of the digits raised to the power of the number of digits\n sum_of_powers = sum(int(digit)**num_len for digit in num_str)\n\n # If the sum is equal to the original number, it's an Armstrong number\n return sum_of_powers == num"} +{"task_id": "Mbpp/599", "solution": "def sum_average(n):\n # calculate sum of first n natural numbers\n total_sum = n * (n + 1) // 2\n # calculate average of first n natural numbers\n avg = total_sum / n\n return (total_sum, avg)"} +{"task_id": "Mbpp/600", "solution": "def is_Even(n):\n return n % 2 == 0"} +{"task_id": "Mbpp/602", "solution": "def first_repeated_char(string):\n char_count = {}\n for char in string:\n if char in char_count:\n return char\n else:\n char_count[char] = 1\n return None"} +{"task_id": "Mbpp/603", "solution": "def get_ludic(n):\n def is_prime(num):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n ludic_numbers = []\n for i in range(1, n+1):\n if is_prime(i):\n ludic_numbers.append(i)\n return ludic_numbers"} +{"task_id": "Mbpp/604", "solution": "def reverse_words(s):\n words = s.split(' ')\n reversed_words = ' '.join(reversed(words))\n return reversed_words"} +{"task_id": "Mbpp/605", "solution": "def prime_num(n):\n if n <= 1:\n return False\n elif n <= 3:\n return True\n elif n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True"} +{"task_id": "Mbpp/606", "solution": "import math"} +{"task_id": "Mbpp/607", "solution": "import re\ndef find_literals(text, pattern):\n match = re.search(pattern, text)\n if match:\n return match.group(), match.start(), match.end()\n return None, None, None"} +{"task_id": "Mbpp/608", "solution": "def bell_Number(n):\n bell = [[0 for i in range(n+1)] for j in range(n+1)]\n bell[0][0] = 1\n for i in range(1, n+1):\n bell[i][0] = bell[i-1][i-1]\n for j in range(1, i+1):\n bell[i][j] = bell[i-1][j-1] + bell[i][j-1]\n return bell[n][0]"} +{"task_id": "Mbpp/610", "solution": "def remove_kth_element(lst, k):\n del lst[k]\n return lst"} +{"task_id": "Mbpp/611", "solution": "def max_of_nth(matrix, n):\n return max(row[n] for row in matrix)"} +{"task_id": "Mbpp/612", "solution": "def merge(lst):\n return [[sub[i] for sub in lst] for i in range(2)]"} +{"task_id": "Mbpp/614", "solution": "def cummulative_sum(tuples):\n total = 0\n for t in tuples:\n total += sum(t)\n return total"} +{"task_id": "Mbpp/615", "solution": "def average_tuple(tuples):\n averages = []\n for t in tuples:\n averages.append(sum(t)/len(t))\n return averages"} +{"task_id": "Mbpp/616", "solution": "def tuple_modulo(t1, t2):\n return tuple(map(lambda x, y: x % y, t1, t2))"} +{"task_id": "Mbpp/618", "solution": "def div_list(list1, list2):\n return [a / b for a, b in zip(list1, list2)]"} +{"task_id": "Mbpp/619", "solution": "def move_num(s):\n nums = [i for i in s if i.isdigit()]\n letters = [i for i in s if not i.isdigit()]\n return ''.join(letters + nums)"} +{"task_id": "Mbpp/620", "solution": "def largest_subset(lst):\n if not lst:\n return 0\n\n lst.sort()\n dp = [1] * len(lst)\n max_len = 1\n\n for i in range(1, len(lst)):\n for j in range(i):\n if lst[i] % lst[j] == 0 and dp[i] < dp[j] + 1:\n dp[i] = dp[j] + 1\n max_len = max(max_len, dp[i])\n\n return max_len"} +{"task_id": "Mbpp/622", "solution": "def get_median(list1, list2, n):\n merged_list = sorted(list1 + list2)\n if n % 2 == 0:\n median = (merged_list[n//2] + merged_list[n//2 - 1]) / 2\n else:\n median = merged_list[n//2]\n return median"} +{"task_id": "Mbpp/623", "solution": "def nth_nums(nums, n):\n return [num ** n for num in nums]"} +{"task_id": "Mbpp/624", "solution": "def convert_to_upper(s):\n return s.upper()\n\nassert convert_to_upper(\"person\") == \"PERSON\""} +{"task_id": "Mbpp/626", "solution": "import math"} +{"task_id": "Mbpp/628", "solution": "def replace_spaces(s):\n return s.replace(' ', '%20')"} +{"task_id": "Mbpp/629", "solution": "def find_even_numbers(numbers):\n return [num for num in numbers if num % 2 == 0]\n\nassert find_even_numbers([1,2,3,4,5]) == [2,4]"} +{"task_id": "Mbpp/630", "solution": "def get_coordinates(coordinate):\n x, y = coordinate\n adjacent_coordinates = []\n for i in range(-1, 2):\n for j in range(-1, 2):\n if not (i == 0 and j == 0):\n adjacent_coordinates.append([x + i, y + j])\n return adjacent_coordinates"} +{"task_id": "Mbpp/631", "solution": "def replace_spaces(s):\n return s.replace(' ', '_')"} +{"task_id": "Mbpp/632", "solution": "def move_zero(lst):\n # Count the number of zeros in the list\n num_zeros = lst.count(0)\n \n # Remove all zeros from the list\n lst = [num for num in lst if num != 0]\n \n # Extend the list with the number of zeros\n lst.extend([0]*num_zeros)\n \n return lst"} +{"task_id": "Mbpp/633", "solution": "def pair_xor_sum(lst, n):\n sum = 0\n for i in range(n):\n for j in range(i + 1, n):\n sum += lst[i] ^ lst[j]\n return sum\n\n# Test the function\nassert pair_xor_sum([5,9,7,6],4) == 47"} +{"task_id": "Mbpp/635", "solution": "def heap_sort(lst):\n def heapify(n, i):\n largest = i\n l = 2 * i + 1\n r = 2 * i + 2\n\n if l < n and lst[i] < lst[l]:\n largest = l\n\n if r < n and lst[largest] < lst[r]:\n largest = r\n\n if largest != i:\n lst[i], lst[largest] = lst[largest], lst[i]\n heapify(n, largest)\n\n n = len(lst)\n\n for i in range(n, -1, -1):\n heapify(n, i)\n\n for i in range(n-1, 0, -1):\n lst[i], lst[0] = lst[0], lst[i]\n heapify(i, 0)\n\n return lst"} +{"task_id": "Mbpp/637", "solution": "def noprofit_noloss(sell_price, cost_price):\n return sell_price != cost_price"} +{"task_id": "Mbpp/638", "solution": "def wind_chill(velocity, temperature):\n \"\"\"\n Calculate the wind chill index given the wind velocity in km/h and a temperature in celsius.\n \"\"\"\n # Formula for wind chill index\n wct_index = 13.12 + 0.6215*temperature - 11.37*(velocity**0.16) + 0.3965*temperature*(velocity**0.16)\n # Round to the next integer\n return round(wct_index + 0.5)"} +{"task_id": "Mbpp/639", "solution": "def sum_names(names):\n return sum(len(name) for name in names if name[0].isupper())\n\n# Test the function\nassert sum_names(['sally', 'Dylan', 'rebecca', 'Diana', 'Joanne', 'keith']) == 16"} +{"task_id": "Mbpp/641", "solution": "def is_nonagonal(n):\n return n * (7 * n - 5) // 2"} +{"task_id": "Mbpp/643", "solution": "import re\ndef text_match_wordz_middle(text):\n # Regular expression pattern to match words containing 'z' except at the start and end\n pattern = r'\\b\\w*z\\w*\\b'\n # Find all matches in the text\n matches = re.findall(pattern, text)\n # Check if any match is found\n if matches:\n # Check if each match is a word containing 'z' except at the start and end\n for match in matches:\n if match != 'z' and match[0] != 'z' and match[-1] != 'z':\n return True\n return False"} +{"task_id": "Mbpp/644", "solution": "def reverse_Array_Upto_K(arr, k):\n # Reverse the first k elements\n arr[:k] = arr[:k][::-1]\n return arr"} +{"task_id": "Mbpp/720", "solution": "def add_dict_to_tuple(tup, dic):\n return tup + (dic,)"} +{"task_id": "Mbpp/721", "solution": "def maxAverageOfPath(matrix):\n n = len(matrix)\n dp = [[0]*n for _ in range(n)]\n dp[0][0] = matrix[0][0]\n\n for i in range(1, n):\n dp[i][0] = dp[i-1][0] + matrix[i][0]\n dp[0][i] = dp[0][i-1] + matrix[0][i]\n\n for i in range(1, n):\n for j in range(1, n):\n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) + matrix[i][j]\n\n return dp[-1][-1] / ((n-1) * 2)"} +{"task_id": "Mbpp/722", "solution": "def filter_data(students, min_height, min_weight):\n return {name: data for name, data in students.items() if data[0] >= min_height and data[1] >= min_weight}\nstudents = {'Cierra Vega': (6.2, 70), 'Alden Cantrell': (5.9, 65), 'Kierra Gentry': (6.0, 68), 'Pierre Cox': (5.8, 66)}\nmin_height = 6.0\nmin_weight = 70"} +{"task_id": "Mbpp/723", "solution": "def count_same_pair(list1, list2):\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must have the same length\")\n return sum(1 for a, b in zip(list1, list2) if a == b)"} +{"task_id": "Mbpp/724", "solution": "def power_base_sum(base, power):\n return sum(int(digit) for digit in str(base ** power))"} +{"task_id": "Mbpp/725", "solution": "import re\ndef extract_quotation(s):\n return re.findall(r'\"([^\"]*)\"', s)"} +{"task_id": "Mbpp/726", "solution": "def multiply_elements(t):\n return tuple(t[i] * t[i + 1] for i in range(len(t) - 1))"} +{"task_id": "Mbpp/728", "solution": "def sum_list(list1, list2):\n return [a + b for a, b in zip(list1, list2)]"} +{"task_id": "Mbpp/730", "solution": "def consecutive_duplicates(lst):\n return [lst[i] for i in range(len(lst)) if i == 0 or lst[i] != lst[i-1]]"} +{"task_id": "Mbpp/731", "solution": "import math\ndef lateralsurface_cone(r, h):\n return math.pi * r * math.sqrt(r**2 + h**2)"} +{"task_id": "Mbpp/732", "solution": "def replace_specialchar(s):\n s = s.replace(' ', ':')\n s = s.replace(',', ':')\n s = s.replace('.', ':')\n return s"} +{"task_id": "Mbpp/733", "solution": "def find_first_occurrence(arr, target):\n left, right = 0, len(arr) - 1\n result = -1\n while left <= right:\n mid = left + (right - left) // 2\n if arr[mid] == target:\n result = mid\n right = mid - 1\n elif arr[mid] < target:\n left = mid + 1\n else:\n right = mid - 1\n return result"} +{"task_id": "Mbpp/734", "solution": "def sum_Of_Subarray_Prod(lst):\n n = len(lst)\n prod = 0\n for i in range(n):\n for j in range(i+1, n+1):\n sublist = lst[i:j]\n product = 1\n for num in sublist:\n product *= num\n prod += product\n return prod"} +{"task_id": "Mbpp/735", "solution": "def toggle_middle_bits(n):\n # Convert the number to binary and store it as a string\n binary = bin(n)[2:]\n\n # Toggle bits of the number except the first and the last bit\n for i in range(1, len(binary) - 1):\n if binary[i] == '1':\n binary = binary[:i] + '0' + binary[i+1:]\n else:\n binary = binary[:i] + '1' + binary[i+1:]\n\n # Convert the binary string back to an integer\n return int(binary, 2)"} +{"task_id": "Mbpp/736", "solution": "def left_insertion(arr, val):\n for i in range(len(arr)):\n if arr[i] >= val:\n return i\n return len(arr)"} +{"task_id": "Mbpp/737", "solution": "import re\ndef check_str(s):\n return bool(re.match(r'^[aeiou]', s, re.IGNORECASE))"} +{"task_id": "Mbpp/739", "solution": "import math\ndef find_Index(n):\n # The nth triangular number is given by the formula n*(n+1)/2\n # We can rearrange this to solve for n: n = (sqrt(8*T + 1) - 1) / 2, where T is the triangular number\n # We want to find the smallest such n that is greater than or equal to n\n # So we can use the math.ceil function to round up to the nearest integer\n return math.ceil((math.sqrt(8 * 10 ** (n-1) + 1) - 1) / 2)"} +{"task_id": "Mbpp/740", "solution": "def tuple_to_dict(tup):\n return {tup[i]: tup[i + 1] for i in range(0, len(tup), 2)}"} +{"task_id": "Mbpp/741", "solution": "def all_Characters_Same(s):\n return len(set(s)) <= 1"} +{"task_id": "Mbpp/742", "solution": "import math\ndef area_tetrahedron(edge_length):\n # The formula to calculate the area of a tetrahedron is sqrt(3) * edge_length ** 2\n return math.sqrt(3) * edge_length ** 2"} +{"task_id": "Mbpp/743", "solution": "def rotate_right(lst, k):\n # Calculate the effective rotation\n k = k % len(lst)\n # Use slicing to rotate the list\n return lst[-k:] + lst[:-k]"} +{"task_id": "Mbpp/744", "solution": "def check_none(tup):\n return None in tup"} +{"task_id": "Mbpp/745", "solution": "def divisible_by_digits(startnum, endnum):\n result = []\n for num in range(startnum, endnum+1):\n if all(digit != 0 and num % digit == 0 for digit in map(int, str(num))):\n result.append(num)\n return result"} +{"task_id": "Mbpp/748", "solution": "def capital_words_spaces(s):\n return ' '.join(s.split())"} +{"task_id": "Mbpp/749", "solution": "def sort_numeric_strings(lst):\n return sorted(int(i) for i in lst)"} +{"task_id": "Mbpp/750", "solution": "def add_tuple(lst, tup):\n return lst + list(tup)"} +{"task_id": "Mbpp/751", "solution": "def check_min_heap(arr):\n n = len(arr)\n\n # Iterate from the parent nodes to the root node\n for i in range(int(n/2)):\n # If left child is greater than parent\n if arr[i] > arr[2 * i + 1]:\n return False\n\n # If right child exists and is greater than parent\n if 2 * i + 2 < n and arr[i] > arr[2 * i + 2]:\n return False\n\n return True"} +{"task_id": "Mbpp/752", "solution": "def jacobsthal_num(n):\n if n == 0:\n return 0\n elif n == 1:\n return 1\n else:\n return 2 * jacobsthal_num(n - 1) + jacobsthal_num(n - 2)"} +{"task_id": "Mbpp/753", "solution": "def min_k(records, k):\n # Sort the records by the second element of each tuple\n sorted_records = sorted(records, key=lambda x: x[1])\n # Return the first k records\n return sorted_records[:k]"} +{"task_id": "Mbpp/754", "solution": "def extract_index_list(l1, l2, l3):\n common_elements = []\n for i in range(len(l1)):\n if l1[i] == l2[i] == l3[i]:\n common_elements.append(l1[i])\n return common_elements"} +{"task_id": "Mbpp/755", "solution": "def second_smallest(numbers):\n m1, m2 = float('inf'), float('inf')\n for x in numbers:\n if x <= m1:\n m1, m2 = x, m1\n elif x < m2:\n m2 = x\n return m2"} +{"task_id": "Mbpp/757", "solution": "def count_reverse_pairs(lst):\n count = 0\n for i in range(len(lst)):\n for j in range(i+1, len(lst)):\n if lst[i] == lst[j][::-1]:\n count += 1\n return count"} +{"task_id": "Mbpp/758", "solution": "def unique_sublists(lst):\n count_dict = {}\n for sublist in lst:\n tuple_sublist = tuple(sublist)\n if tuple_sublist in count_dict:\n count_dict[tuple_sublist] += 1\n else:\n count_dict[tuple_sublist] = 1\n return count_dict"} +{"task_id": "Mbpp/759", "solution": "def is_decimal(s):\n try:\n float(s)\n except ValueError:\n return False\n else:\n parts = s.split('.')\n if len(parts) == 2 and len(parts[1]) == 2:\n return True\n else:\n return False"} +{"task_id": "Mbpp/760", "solution": "def unique_Element(lst):\n return len(set(lst)) <= 1"} +{"task_id": "Mbpp/762", "solution": "def check_monthnumber_number(month_number):\n # Months with 30 days: 4, 6, 9, 11\n if month_number in [4, 6, 9, 11]:\n return True\n else:\n return False"} +{"task_id": "Mbpp/763", "solution": "def find_min_diff(arr, n):\n arr = sorted(arr)\n min_diff = float('inf')\n for i in range(1, n):\n diff = arr[i] - arr[i-1]\n min_diff = min(min_diff, diff)\n return min_diff"} +{"task_id": "Mbpp/764", "solution": "def number_ctr(s):\n return sum(c.isdigit() for c in s)"} +{"task_id": "Mbpp/765", "solution": "def is_polite(n):\n def is_power_of_two(n):\n return (n and (not(n & (n - 1))))\n\n def find_next_power_of_two(n):\n count = 0\n while (n):\n n >>= 1\n count += 1\n return count\n\n if (is_power_of_two(n)):\n return n << 1\n else:\n p = 1 << find_next_power_of_two(n)\n q = p >> 1\n if (n == (p + q - 1)):\n return p\n else:\n return p + q"} +{"task_id": "Mbpp/766", "solution": "def pair_wise(lst):\n return [(lst[i], lst[i + 1]) for i in range(len(lst) - 1)]"} +{"task_id": "Mbpp/767", "solution": "def get_pairs_count(lst, total):\n count = 0\n length = len(lst)\n for i in range(0, length):\n for j in range(i+1, length):\n if lst[i] + lst[j] == total:\n count += 1\n return count"} +{"task_id": "Mbpp/769", "solution": "def Diff(li1, li2): \n return [i for i in li1+li2 if i not in li1 or i not in li2]"} +{"task_id": "Mbpp/770", "solution": "def odd_num_sum(n):\n sum = 0\n for i in range(1, 2*n, 2):\n sum += i**4\n return sum"} +{"task_id": "Mbpp/771", "solution": "def check_expression(expr):\n stack = []\n brackets = {'(': ')', '{': '}', '[': ']'}\n for bracket in expr:\n if bracket in brackets:\n stack.append(bracket)\n elif len(stack) == 0 or brackets[stack.pop()] != bracket:\n return False\n return len(stack) == 0"} +{"task_id": "Mbpp/772", "solution": "def remove_length(s, k):\n words = s.split()\n words = [word for word in words if len(word) != k]\n return ' '.join(words)"} +{"task_id": "Mbpp/773", "solution": "def occurrence_substring(s, sub):\n pos = s.find(sub)\n if pos != -1:\n return (sub, pos, pos+len(sub))\n else:\n return None\n\n# Test the function"} +{"task_id": "Mbpp/775", "solution": "def odd_position(lst):\n return all(el % 2 != 0 for i, el in enumerate(lst) if i % 2 != 0)"} +{"task_id": "Mbpp/777", "solution": "def find_sum(lst):\n return sum(set(lst))"} +{"task_id": "Mbpp/778", "solution": "def pack_consecutive_duplicates(lst):\n result = []\n i = 0\n while i < len(lst):\n start = i\n while i < len(lst) - 1 and lst[i] == lst[i + 1]:\n i += 1\n result.append(lst[start:i+1])\n i += 1\n return result"} +{"task_id": "Mbpp/780", "solution": "from itertools import combinations\ndef find_combinations(tuples):\n result = []\n for i in range(2, len(tuples)+1):\n for combination in combinations(tuples, i):\n result.append(tuple(sum(x) for x in zip(*combination)))\n return result"} +{"task_id": "Mbpp/781", "solution": "def count_divisors(n):\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count % 2 == 0"} +{"task_id": "Mbpp/782", "solution": "def odd_length_sum(arr):\n n = len(arr)\n res = 0\n for i in range(n):\n res += ((i+1)*(n-i)+1)//2*arr[i]\n return res"} +{"task_id": "Mbpp/784", "solution": "def mul_even_odd(lst):\n even_product = 1\n odd_product = 1\n for num in lst:\n if num % 2 == 0:\n even_product *= num\n else:\n odd_product *= num\n return even_product, odd_product"} +{"task_id": "Mbpp/785", "solution": "def tuple_str_int(tup_str):\n # Remove parentheses and split by comma\n str_list = tup_str[1:-1].split(',')\n # Convert each string to integer and return as tuple\n return tuple(map(int, str_list))"} +{"task_id": "Mbpp/786", "solution": "def right_insertion(arr, target):\n for i in range(len(arr)):\n if arr[i] > target:\n return i\n return len(arr)"} +{"task_id": "Mbpp/787", "solution": "import re\ndef text_match_three(text):\n pattern = 'abbb'\n if re.search(pattern, text):\n return True\n else:\n return False"} +{"task_id": "Mbpp/788", "solution": "def new_tuple(lst, string):\n return tuple(lst + [string])"} +{"task_id": "Mbpp/790", "solution": "def even_position(lst):\n for i in range(0, len(lst), 2):\n if lst[i] % 2 != 0:\n return False\n return True"} +{"task_id": "Mbpp/791", "solution": "def remove_nested(tup):\n return tuple(i for i in tup if not isinstance(i, tuple))"} +{"task_id": "Mbpp/792", "solution": "def count_list(lst):\n return len(lst)"} +{"task_id": "Mbpp/793", "solution": "def last(arr, target):\n try:\n return len(arr) - 1 - arr[::-1].index(target)\n except ValueError:\n return -1"} +{"task_id": "Mbpp/794", "solution": "import re\ndef text_starta_endb(text):\n pattern = 'a.*b$'\n if re.search(pattern, text):\n return True\n else:\n return False"} +{"task_id": "Mbpp/796", "solution": "def return_sum(dictionary):\n return sum(dictionary.values())"} +{"task_id": "Mbpp/797", "solution": "def sum_in_range(l, r):\n return sum(i for i in range(l, r+1) if i % 2 != 0)"} +{"task_id": "Mbpp/798", "solution": "def _sum(arr):\n return sum(arr)"} +{"task_id": "Mbpp/799", "solution": "def left_rotate(n, d):\n \"\"\"\n Function to rotate left bits of a number by d bits.\n \"\"\"\n # In n<>(32-d)\n return (n << d)|(n >> (32 - d))"} +{"task_id": "Mbpp/800", "solution": "def remove_all_spaces(input_string):\n return input_string.replace(' ', '')"} +{"task_id": "Mbpp/801", "solution": "def test_three_equal(a, b, c):\n if a == b and b == c:\n return 3\n elif a == b or a == c or b == c:\n return 2\n else:\n return 0"} +{"task_id": "Mbpp/803", "solution": "def is_perfect_square(n):\n if n < 0:\n return False\n if n == 0 or n == 1:\n return True\n x = n // 2\n seen = set([x])\n while x * x != n:\n x = (x + (n // x)) // 2\n if x in seen:\n return False\n seen.add(x)\n return True"} +{"task_id": "Mbpp/804", "solution": "def is_product_even(lst):\n product = 1\n for num in lst:\n product *= num\n return product % 2 == 0"} +{"task_id": "Mbpp/805", "solution": "def max_sum_list(lst):\n return max(lst, key=sum)"} +{"task_id": "Mbpp/806", "solution": "def max_run_uppercase(s):\n max_length = 0\n current_length = 0\n for char in s:\n if char.isupper():\n current_length += 1\n max_length = max(max_length, current_length)\n else:\n current_length = 0\n return max_length"} +{"task_id": "Mbpp/807", "solution": "def first_odd(numbers):\n for num in numbers:\n if num % 2 != 0:\n return num\n return None"} +{"task_id": "Mbpp/808", "solution": "def check_K(tup, k):\n return k in tup"} +{"task_id": "Mbpp/809", "solution": "def check_smaller(t1, t2):\n return all(x < y for x, y in zip(t1, t2))"} diff --git a/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.raw.jsonl b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.raw.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64fc74beafb72e0a9c0432b529bee87c99db458a --- /dev/null +++ b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--deepseek-coder-6.7b-instruct_vllm_temp_0.0.raw.jsonl @@ -0,0 +1,378 @@ +{"task_id": "Mbpp/2", "solution": "def similar_elements(list1, list2):\n return set(list1)).intersection(set(list2))\n\n# Test the function\nassert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == set((4, 5))"} +{"task_id": "Mbpp/3", "solution": "def is_not_prime(n):\n if n <= 1:\n return True\n elif n <= 3:\n return False\n elif n % 2 == 0 or n % 3 == 0:\n return True\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return True\n i += 6\n return False\n\n# Test cases\nassert is_not_prime(2) == False\nassert is_not_prime(3) == False\nassert is_not_prime(4) == True\nassert is_not_prime(9) == True\nassert is_not_prime(15) == True\nassert is_not_prime(21) == True\nassert is_not_prime(25) == True\nassert is_not_prime(27) == True\nassert is_not_prime(31) == False"} +{"task_id": "Mbpp/4", "solution": "import heapq\n\ndef heap_queue_largest(nums, n):\n return heapq.nlargest(n, nums)\n\n# Test the function\nassert heap_queue_largest([25, 35, 22, 85, 14, 65, 75, 22, 58], 3) == [85, 75, 65]"} +{"task_id": "Mbpp/6", "solution": "def differ_At_One_Bit_Pos(x, y):\n return bin(x ^ y).count('1') == 1\n\n# Test cases"} +{"task_id": "Mbpp/7", "solution": "def find_char_long(s):\n return [word for word in s.split() if len(word) >= 4]\n\nassert set(find_char_long('Please move back to stream')) == set(['Please', 'move', 'back', 'stream'])"} +{"task_id": "Mbpp/8", "solution": "def square_nums(nums):\n return [num ** 2 for num in nums]\n\nassert square_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]"} +{"task_id": "Mbpp/9", "solution": "def find_Rotations(s: str) -> int:\n n = len(s)\n for i in range(1, n):\n if s[i:] + s[:i] == s:\n return i\n return n\n\n# Test cases\nassert find_Rotations(\"aaaa\") == 1\nassert find_Rotations(\"abcde\") == 5\nassert find_Rotations(\"abcd\") == 4\nassert find_Rotations(\"aaaab\") == 1\nassert find_Rotations(\"baab\") == 2"} +{"task_id": "Mbpp/11", "solution": "def remove_Occ(s, ch):\n first_occurrence = s.find(ch)\n if first_occurrence != -1:\n last_occurrence = s.rfind(ch)\n return s[:first_occurrence] + s[last_occurrence+1:]\n return s\n\n# Test the function\nassert remove_Occ(\"hello\",\"l\") == \"heo\""} +{"task_id": "Mbpp/12", "solution": "def sort_matrix(matrix):\n return sorted(matrix, key=sum)\n\n# Test the function\nassert sort_matrix([[1, 2, 3], [2, 4, 5], [1, 1, 1]]) == [[1, 1, 1], [1, 2, 3], [2, 4, 5]]"} +{"task_id": "Mbpp/14", "solution": "def find_Volume(base, height, length):\n # calculate the volume of a triangular prism\n volume = (base * height * length) // 2\n return volume\n\n# test the function\nassert find_Volume(10,8,6) == 240"} +{"task_id": "Mbpp/16", "solution": "def text_lowercase_underscore(s):\n # Split the string into words\n words = s.split(\"_\")\n\n # Check if all words are lowercase\n for word in words:\n if not word.islower():\n return False\n\n # If all words are lowercase, return True\n return True\n\n# Test the function\nassert text_lowercase_underscore(\"aab_cbbbc\") == True"} +{"task_id": "Mbpp/17", "solution": "def square_perimeter(side_length):\n return 4 * side_length\n\n# Test the function\nassert square_perimeter(10) == 40"} +{"task_id": "Mbpp/18", "solution": "def remove_dirty_chars(s1, s2):\n return ''.join([char for char in s1 if char not in s2])\n\n# Test the function\nassert remove_dirty_chars(\"probasscurve\", \"pros\") == 'bacuve'"} +{"task_id": "Mbpp/19", "solution": "def test_duplicate(arr):\n return len(arr) != len(set(arr))\n\n# Test cases"} +{"task_id": "Mbpp/20", "solution": "def is_woodall(n):\n # A number is a Woodall number if it is a power of 2 minus 1\n # So, we just need to check if n is a power of 2\n if n <= 0:\n return False\n while n % 2 == 0:\n n = n // 2\n return n == 1\n\n# Test the function\nassert is_woodall(383) == True"} +{"task_id": "Mbpp/56", "solution": "def check(n):\n # Convert the number to string to reverse it\n str_n = str(n)\n # Reverse the string\n reversed_str_n = str_n[::-1]\n # Convert the reversed string back to integer\n reversed_n = int(reversed_str_n)\n # Check if the number is one less than twice its reverse\n return n == (2 * reversed_n) - 1\n\n# Test the function\nassert check(70) == False"} +{"task_id": "Mbpp/57", "solution": "def find_Max_Num(lst):\n # Convert each element in the list to string\n str_lst = [str(i) for i in lst]\n # Sort the list in descending order\n str_lst.sort(reverse=True)\n # Join the elements in the list to form a string and convert it to integer\n max_num = int(''.join(str_lst))\n return max_num\n\n# Test the function\nassert find_Max_Num([1,2,3]) == 321"} +{"task_id": "Mbpp/58", "solution": "def opposite_Signs(num1, num2):\n return (num1 ^ num2) < 0\n\n# Test the function\nassert opposite_Signs(1,-2) == True"} +{"task_id": "Mbpp/59", "solution": "def nth_octagonal(n):\n return n*(3*n-2)\n\ndef is_octagonal(n):\n return nth_octagonal(n)\n\n# Test cases\nassert is_octagonal(1) == 1\nassert is_octagonal(2) == 8\nassert is_octagonal(3) == 19\nassert is_octagonal(4) == 33\nassert is_octagonal(5) == 50"} +{"task_id": "Mbpp/61", "solution": "def count_Substrings(s):\n count = 0\n for length in range(1, len(s) + 1):\n for start in range(0, len(s)):\n if start + length > len(s):\n break\n substring = s[start:start + length]\n if sum(int(digit) for digit in substring) == length:\n count += 1\n return count\n\n# Test the function\nassert count_Substrings('112112') == 6"} +{"task_id": "Mbpp/62", "solution": "def smallest_num(lst):\n return min(lst)\n\n# Test the function\nassert smallest_num([10, 20, 1, 45, 99]) == 1"} +{"task_id": "Mbpp/63", "solution": "def max_difference(tuples):\n max_diff = 0\n for i in range(len(tuples)):\n for j in range(i+1, len(tuples)):\n diff = abs(tuples[i][0] - tuples[j][1])\n if diff > max_diff:\n max_diff = diff\n return max_diff\n\n# Test the function\nassert max_difference([(3, 5), (1, 7), (10, 3), (1, 2)]) == 7"} +{"task_id": "Mbpp/64", "solution": "def sort_tuples(tuples):\n return sorted(tuples, key=lambda x: x[1])\n\ndef test_sort_tuples():\n assert sort_tuples([('English', 88), ('Science', 90), ('Maths', 97), ('Social sciences', 82)]) == [('Social sciences', 82), ('English', 88), ('Science', 90), ('Maths', 97)]\n print(\"All tests pass\")\n\ntest_sort_tuples()"} +{"task_id": "Mbpp/65", "solution": "def recursive_list_sum(lst):\n total = 0\n for element in lst:\n if type(element) is list:\n total += recursive_list_sum(element)\n else:\n total += element\n return total\n\n# Test the function\nassert recursive_list_sum([1, 2, [3,4],[5,6]]) == 21"} +{"task_id": "Mbpp/66", "solution": "def pos_count(lst):\n count = 0\n for num in lst:\n if num > 0:\n count += 1\n return count\n\n# Test the function\nassert pos_count([1,-2,3,-4]) == 2"} +{"task_id": "Mbpp/67", "solution": "def bell_number(n):\n bell = [[0 for i in range(n+1)] for j in range(n+1)]\n bell[0][0] = 1\n for i in range(1, n+1):\n bell[i][0] = bell[i-1][i-1]\n for j in range(1, i+1):\n bell[i][j] = bell[i-1][j-1] + bell[i][j-1]\n return bell[n][0]\n\n# Test the function\nassert bell_number(2)==2"} +{"task_id": "Mbpp/68", "solution": "def is_Monotonic(arr):\n return all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)) or all(arr[i] >= arr[i + 1] for i in range(len(arr) - 1))\n\n# Test cases"} +{"task_id": "Mbpp/69", "solution": "def is_sublist(main_list, sublist):\n return sublist in main_list\n\n# Test cases"} +{"task_id": "Mbpp/70", "solution": "def get_equal(tuples):\n length = len(tuples[0])\n for t in tuples:\n if len(t) != length:\n return False\n return True\n\n# Test the function\nassert get_equal([(11, 22, 33), (44, 55, 66)]) == True"} +{"task_id": "Mbpp/71", "solution": "def comb_sort(lst):\n gap = len(lst)\n shrink = 1.3\n sorted = False\n\n while not sorted:\n gap = int(gap / shrink)\n if gap <= 1:\n gap = 1\n sorted = True\n i = 0\n while i + gap < len(lst):\n if lst[i] > lst[i + gap]:\n lst[i], lst[i + gap] = lst[i + gap], lst[i]\n i += 1\n return lst\n\n# Test the function\nassert comb_sort([5, 15, 37, 25, 79]) == [5, 15, 25, 37, 79]"} +{"task_id": "Mbpp/72", "solution": "def dif_Square(n):\n i = 0\n while i*i <= n:\n j = 0\n while j*j <= n:\n if i*i - j*j == n:\n return True\n j += 1\n i += 1\n return False\n\n# Test cases"} +{"task_id": "Mbpp/74", "solution": "def is_samepatterns(patterns1, patterns2):\n return patterns1 == patterns2\n\n# Test the function"} +{"task_id": "Mbpp/75", "solution": "def find_tuples(tuples_list, k):\n result = []\n for tup in tuples_list:\n if all(i % k == 0 for i in tup):\n result.append(tup)\n return result\n\n# Test the function\nassert find_tuples([(6, 24, 12), (7, 9, 6), (12, 18, 21)], 6) == [(6, 24, 12)]"} +{"task_id": "Mbpp/77", "solution": "def is_divisible_by_11(n):\n return n % 11 == 0\n\n# Test cases\nassert is_divisible_by_11(12345) == False"} +{"task_id": "Mbpp/79", "solution": "def word_len(word):\n return len(word) % 2 == 1\n\n# Test cases\nassert word_len(\"Hadoop\") == False"} +{"task_id": "Mbpp/80", "solution": "def tetrahedral_number(n):\n return n * (n + 1) * (n + 2) // 6\n\n# Test the function\nassert tetrahedral_number(5) == 35"} +{"task_id": "Mbpp/82", "solution": "import math\n\ndef volume_sphere(radius):\n return (4/3) * math.pi * radius**3\n\nassert math.isclose(volume_sphere(10), 4188.790204786391, rel_tol=0.001)"} +{"task_id": "Mbpp/84", "solution": "def newman_conway(n):\n if n == 1:\n return \"1\"\n if n == 2:\n return \"1 1\"\n sequence = [1, 1]\n for i in range(2, n):\n sequence.append(sequence[sequence[i-1]-1] + sequence[i-sequence[i-1]])\n return ' '.join(map(str, sequence))\n\ndef sequence(n):\n return int(newman_conway(n).split()[-1])\n\n# Test the function\nassert sequence(10) == 6"} +{"task_id": "Mbpp/85", "solution": "import math\n\ndef surfacearea_sphere(radius):\n return 4 * math.pi * radius ** 2\n\n# Test the function\nassert math.isclose(surfacearea_sphere(10), 1256.6370614359173, rel_tol=0.001)"} +{"task_id": "Mbpp/86", "solution": "def centered_hexagonal_number(n):\n return n*(7*n-5)//2 + 1\n\n# Test the function\nassert centered_hexagonal_number(10) == 271"} +{"task_id": "Mbpp/87", "solution": "def merge_dictionaries_three(dict1, dict2, dict3):\n merged_dict = {**dict1, **dict2, **dict3}\n return merged_dict\n\n# Test the function\ndict1 = { \"R\": \"Red\", \"B\": \"Black\", \"P\": \"Pink\" }\ndict2 = { \"G\": \"Green\", \"W\": \"White\" }\ndict3 = { \"O\": \"Orange\", \"W\": \"White\", \"B\": \"Black\" }\n\nassert merge_dictionaries_three(dict1, dict2, dict3)=={'B': 'Black', 'R': 'Red', 'P': 'Pink', 'G': 'Green', 'W': 'White', 'O': 'Orange'}"} +{"task_id": "Mbpp/88", "solution": "def freq_count(lst):\n freqs = {}\n for item in lst:\n if item in freqs:\n freqs[item] += 1\n else:\n freqs[item] = 1\n return freqs\n\n# Test the function\nassert freq_count([10,10,10,10,20,20,20,20,40,40,50,50,30])==({10: 4, 20: 4, 40: 2, 50: 2, 30: 1})"} +{"task_id": "Mbpp/89", "solution": "def closest_num(n):\n # Convert the number to a string\n num_str = str(n)\n # Split the string into a list of characters\n num_list = list(num_str)\n # Iterate over the list from the end to the beginning\n for i in range(len(num_list) - 1, -1, -1):\n # If the current digit is greater than the next one\n if num_list[i] > num_list[i - 1]:\n # Decrease the next digit by 1\n num_list[i - 1] = str(int(num_list[i - 1]) - 1)\n # Set the current digit to 9\n num_list[i] = '9'\n # If the first digit is 0, remove it\n if num_list[0] == '0':\n num_list = num_list[1:]\n # Join the list back into a string\n result_str = ''.join(num_list)\n # Convert the string back to an integer\n result = int(result_str)\n return result\n\n# Test the function\nassert closest_num(11) == 10"} +{"task_id": "Mbpp/90", "solution": "def len_longest_word(words):\n return max(len(word) for word in words)\n\nassert len_longest_word([\"python\",\"PHP\",\"bigdata\"]) == 7"} +{"task_id": "Mbpp/91", "solution": "def find_substring(lst, substr):\n for item in lst:\n if substr in item:\n return True\n return False\n\n# Test the function\nassert find_substring([\"red\", \"black\", \"white\", \"green\", \"orange\"],\"ack\")==True"} +{"task_id": "Mbpp/92", "solution": "def is_undulating(n):\n n = str(n)\n if len(n) < 3:\n return False\n diff1 = int(n[1]) - int(n[0])\n for i in range(2, len(n)):\n diff = int(n[i]) - int(n[i-1])\n if diff != diff1:\n return False\n diff1 = diff\n return True\n\n# Test cases"} +{"task_id": "Mbpp/93", "solution": "def power(a, b):\n return a ** b\n\n# Test the function\nassert power(3, 4) == 81"} +{"task_id": "Mbpp/94", "solution": "def index_minimum(lst):\n return min(lst, key=lambda x: x[1])[0]\n\nassert index_minimum([('Rash', 143), ('Manjeet', 200), ('Varsha', 100)]) == 'Varsha'"} +{"task_id": "Mbpp/95", "solution": "def Find_Min_Length(lst):\n return min(len(sub_lst) for sub_lst in lst)\n\n# Test the function\nassert Find_Min_Length([[1],[1,2]]) == 1"} +{"task_id": "Mbpp/96", "solution": "def divisor(n):\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count\n\nassert divisor(15) == 4"} +{"task_id": "Mbpp/97", "solution": "def flatten(lst):\n return [item for sublist in lst for item in sublist]\n\ndef frequency_lists(lst):\n flattened_list = flatten(lst)\n frequency_dict = {}\n for i in flattened_list:\n if i in frequency_dict:\n frequency_dict[i] += 1\n else:\n frequency_dict[i] = 1\n return frequency_dict\n\n# Test the function\nassert frequency_lists([[1, 2, 3, 2], [4, 5, 6, 2], [7, 8, 9, 5]])=={1: 1, 2: 3, 3: 1, 4: 1, 5: 2, 6: 1, 7: 1, 8: 1, 9: 1}"} +{"task_id": "Mbpp/98", "solution": "def multiply_num(lst):\n if len(lst) == 0:\n return 0\n product = 1\n for num in lst:\n product *= num\n return product / len(lst)\n\nimport math\nassert math.isclose(multiply_num((8, 2, 3, -1, 7)), -67.2, rel_tol=0.001)"} +{"task_id": "Mbpp/99", "solution": "def decimal_to_binary(n):\n return bin(n).replace(\"0b\", \"\")\n\n# Test the function\nassert decimal_to_binary(8) == '1000'"} +{"task_id": "Mbpp/100", "solution": "def next_smallest_palindrome(n):\n while True:\n n += 1\n if str(n) == str(n)[::-1]: # Check if the number is a palindrome\n return n\n\n# Test the function\nassert next_smallest_palindrome(99) == 101"} +{"task_id": "Mbpp/101", "solution": "def kth_element(arr, k):\n \"\"\"\n This function takes in a list and an integer k as arguments.\n It returns the kth element in the list using 1-based indexing.\n \"\"\"\n return arr[k-1]\n\n# Test the function\nassert kth_element([12,3,5,7,19], 2) == 3"} +{"task_id": "Mbpp/102", "solution": "def snake_to_camel(snake_str):\n components = snake_str.split('_')\n return ''.join(x.title() for x in components)\n\nassert snake_to_camel('python_program') == 'PythonProgram'"} +{"task_id": "Mbpp/103", "solution": "def eulerian_num(n, m):\n if m == 0 or m == n:\n return 1\n if n == 0:\n return 0\n return eulerian_num(n - 1, m) + eulerian_num(n, m - 1)\n\n# Test cases\nassert eulerian_num(3, 1) == 4"} +{"task_id": "Mbpp/104", "solution": "def sort_sublists(lst):\n return [sorted(sublist) for sublist in lst]\n\n# Test the function\nassert sort_sublists([[\"green\", \"orange\"], [\"black\", \"white\"], [\"white\", \"black\", \"orange\"]]) == [['green', 'orange'], ['black', 'white'], ['black', 'orange', 'white']]"} +{"task_id": "Mbpp/105", "solution": "def count(lst):\n return sum(lst)\n\nassert count([True, False, True]) == 2"} +{"task_id": "Mbpp/106", "solution": "def add_lists(lst, tpl):\n return tpl + tuple(lst)\n\n# Test the function\nassert add_lists([5, 6, 7], (9, 10)) == (9, 10, 5, 6, 7)"} +{"task_id": "Mbpp/108", "solution": "def merge_sorted_list(list1, list2, list3):\n # Merge the lists\n merged_list = list1 + list2 + list3\n # Sort the merged list\n merged_list.sort()\n return merged_list\n\n# Test the function\nassert merge_sorted_list([25, 24, 15, 4, 5, 29, 110],[19, 20, 11, 56, 25, 233, 154],[24, 26, 54, 48])==[4, 5, 11, 15, 19, 20, 24, 24, 25, 25, 26, 29, 48, 54, 56, 110, 154, 233]"} +{"task_id": "Mbpp/109", "solution": "def odd_Equivalent(binary_string, rotations):\n # Create a list to store the binary strings after each rotation\n rotated_strings = []\n\n # Perform the rotations\n for _ in range(rotations):\n binary_string = binary_string[-1:] + binary_string[:-1]\n rotated_strings.append(binary_string)\n\n # Count the number of odd equivalent binary strings\n count = 0\n for string in rotated_strings:\n if int(string, 2) % 2 != 0:\n count += 1\n\n return count\n\n# Test the function\nassert odd_Equivalent(\"011001\", 6) == 3"} +{"task_id": "Mbpp/111", "solution": "def common_in_nested_lists(nested_lists):\n # Convert the first list to a set\n common_set = set(nested_lists[0])\n\n # Iterate over the rest of the lists\n for lst in nested_lists[1:]:\n # Update the common set with the intersection of the current list and the common set\n common_set = common_set.intersection(set(lst))\n\n # Convert the common set back to a list and return it\n return list(common_set)\n\n# Test the function\nassert set(common_in_nested_lists([[12, 18, 23, 25, 45], [7, 12, 18, 24, 28], [1, 5, 8, 12, 15, 16, 18]])) == set([18, 12])"} +{"task_id": "Mbpp/113", "solution": "def check_integer(s):\n try:\n int(s)\n return True\n except ValueError:\n return False\n\n# Test cases"} +{"task_id": "Mbpp/116", "solution": "def tuple_to_int(tup):\n return int(''.join(map(str, tup)))\n\n# Test the function\nassert tuple_to_int((1,2,3))==123"} +{"task_id": "Mbpp/118", "solution": "def string_to_list(s):\n return s.split(\" \")\n\n# Test the function\nassert string_to_list(\"python programming\") == ['python','programming']"} +{"task_id": "Mbpp/119", "solution": "def search(nums):\n left, right = 0, len(nums) - 1\n while left < right:\n mid = (left + right) // 2\n if nums[mid] == nums[mid ^ 1]:\n left = mid + 1\n else:\n right = mid\n return nums[left]\n\nassert search([1,1,2,2,3]) == 3"} +{"task_id": "Mbpp/120", "solution": "def max_product_tuple(lst):\n max_product = float('-inf')\n for tup in lst:\n product = abs(tup[0] * tup[1])\n if product > max_product:\n max_product = product\n return max_product\n\n# Test the function\nassert max_product_tuple([(2, 7), (2, 6), (1, 8), (4, 9)]) == 36"} +{"task_id": "Mbpp/123", "solution": "def d(n):\n \"\"\"\n Function to calculate the sum of proper divisors of a number\n \"\"\"\n sum = 1\n i = 2\n while i * i <= n:\n if n % i:\n i += 1\n else:\n if i * (n // i) == n:\n sum = sum + i + n//i\n else:\n sum = sum + i\n i += 1\n return sum\n\ndef amicable_numbers_sum(limit):\n \"\"\"\n Function to calculate the sum of all amicable numbers up to a specified limit\n \"\"\"\n sum = 0\n for i in range(1, limit):\n if d(d(i)) == i and d(i) != i:\n sum += i\n return sum\n\n# Test the function\nassert amicable_numbers_sum(999) == 504"} +{"task_id": "Mbpp/124", "solution": "import cmath\nimport math\n\ndef angle_complex(z):\n \"\"\"\n This function calculates the angle of a complex number.\n \"\"\"\n return cmath.phase(z)\n\n# Testing the function\nassert math.isclose(angle_complex(0+1j), 1.5707963267948966, rel_tol=0.001)"} +{"task_id": "Mbpp/125", "solution": "def find_length(binary_string):\n max_diff = 0\n count_zero = 0\n count_one = 0\n\n for char in binary_string:\n if char == '0':\n count_zero += 1\n else:\n count_one += 1\n diff = count_one - count_zero\n if diff > max_diff:\n max_diff = diff\n return max_diff\n\n# Test the function\nassert find_length(\"11000010001\") == 6"} +{"task_id": "Mbpp/126", "solution": "def sum_common_divisors(num1, num2):\n def get_divisors(n):\n divisors = [1]\n for i in range(2, n // 2 + 1):\n if n % i == 0:\n divisors.append(i)\n divisors.append(n)\n return divisors\n\n return sum(set(get_divisors(num1)) & set(get_divisors(num2)))\n\n# Test the function\nassert sum_common_divisors(10, 15) == 6"} +{"task_id": "Mbpp/127", "solution": "def multiply_int(a, b):\n return a * b\n\n# Test the function\nassert multiply_int(10, 20) == 200"} +{"task_id": "Mbpp/128", "solution": "def long_words(n, sentence):\n words = sentence.split()\n long_words = [word for word in words if len(word) > n]\n return long_words\n\n# Test the function\nassert long_words(3, \"python is a programming language\") == ['python','programming','language']"} +{"task_id": "Mbpp/129", "solution": "def magic_square_test(matrix):\n # Get the size of the matrix\n size = len(matrix)\n\n # Calculate the sum of the first row\n magic_constant = sum(matrix[0])\n\n # Check rows\n for row in matrix:\n if sum(row) != magic_constant:\n return False\n\n # Check columns\n for i in range(size):\n if sum(row[i] for row in matrix) != magic_constant:\n return False\n\n # Check diagonals\n if sum(matrix[i][i] for i in range(size)) != magic_constant:\n return False\n if sum(matrix[i][size - i - 1] for i in range(size)) != magic_constant:\n return False\n\n # If all checks pass, the matrix is a magic square\n return True\n\n# Test the function\nassert magic_square_test([[7, 12, 1, 14], [2, 13, 8, 11], [16, 3, 10, 5], [9, 6, 15, 4]]) == True"} +{"task_id": "Mbpp/130", "solution": "def max_occurrences(lst):\n # Create a dictionary to store the frequency of each item\n freq_dict = {}\n for item in lst:\n if item in freq_dict:\n freq_dict[item] += 1\n else:\n freq_dict[item] = 1\n\n # Find the item with maximum frequency\n max_freq_item = max(freq_dict, key=freq_dict.get)\n return max_freq_item\n\n# Test the function\nassert max_occurrences([2,3,8,4,7,9,8,2,6,5,1,6,1,2,3,2,4,6,9,1,2])==2"} +{"task_id": "Mbpp/131", "solution": "def reverse_vowels(s):\n vowels = \"aeiouAEIOU\"\n vowels_in_s = [c for c in s if c in vowels]\n return \"\".join(vowels_in_s[::-1] + [c for c in s if c not in vowels])\n\n# Test cases\nassert reverse_vowels(\"Python\") == \"Ptyhon\"\nassert reverse_vowels(\"Jupyter\") == \"Jeupytr\"\nassert reverse_vowels(\"Data Science\") == \"Dita Scenec\""} +{"task_id": "Mbpp/132", "solution": "def tup_string(tup):\n return ''.join(tup)\n\n# Test the function\nassert tup_string(('e', 'x', 'e', 'r', 'c', 'i', 's', 'e', 's')) == \"exercises\""} +{"task_id": "Mbpp/133", "solution": "def sum_negativenum(numbers):\n return sum(num for num in numbers if num < 0)\n\n# Test the function\nassert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32"} +{"task_id": "Mbpp/135", "solution": "def hexagonal_num(n):\n return n*(2*n-1)\n\n# Test the function\nassert hexagonal_num(10) == 190"} +{"task_id": "Mbpp/137", "solution": "def zero_count(arr):\n zero_count = arr.count(0)\n non_zero_count = len(arr) - zero_count\n return zero_count / non_zero_count\n\nimport math\nassert math.isclose(zero_count([0, 1, 2, -1, -5, 6, 0, -3, -2, 3, 4, 6, 8]), 0.181818, rel_tol=0.001)"} +{"task_id": "Mbpp/138", "solution": "def is_Sum_Of_Powers_Of_Two(n):\n if n < 0:\n return False\n while n > 0:\n if n % 2 == 1:\n n -= 1\n else:\n n /= 2\n return n == 0\n\n# Test cases"} +{"task_id": "Mbpp/139", "solution": "import math\n\ndef circle_circumference(radius):\n return 2 * math.pi * radius\n\n# Testing the function\nassert math.isclose(circle_circumference(10), 62.830000000000005, rel_tol=0.001)"} +{"task_id": "Mbpp/140", "solution": "def extract_singly(lst):\n result = []\n for sublist in lst:\n for item in sublist:\n result.append(item)\n return result\n\nassert set(extract_singly([(3, 4, 5), (4, 5, 7), (1, 4)])) == set([3, 4, 5, 7, 1])"} +{"task_id": "Mbpp/141", "solution": "def pancake_sort(lst):\n for i in range(len(lst), 0, -1):\n max_idx = lst.index(max(lst[:i]))\n if max_idx != i - 1:\n if max_idx != 0:\n lst[:i] = lst[max_idx::-1] + lst[i:]\n lst[:i] = lst[i - 1::-1] + lst[i:]\n return lst\n\nassert pancake_sort([15, 79, 25, 38, 69]) == [15, 25, 38, 69, 79]"} +{"task_id": "Mbpp/142", "solution": "def count_samepair(list1, list2, list3):\n count = 0\n for i in range(len(list1)):\n if list1[i] == list2[i] == list3[i]:\n count += 1\n return count\n\n# Test the function\nassert count_samepair([1,2,3,4,5,6,7,8],[2,2,3,1,2,6,7,9],[2,1,3,1,2,6,7,9]) == 3"} +{"task_id": "Mbpp/145", "solution": "def max_Abs_Diff(arr):\n return max(abs(a - b) for a, b in zip(arr, arr[1:]))\n\n# Test the function\nassert max_Abs_Diff((2,1,5,3)) == 4"} +{"task_id": "Mbpp/160", "solution": "def find_solution(a, b, n):\n for x in range(n+1):\n for y in range(n+1):\n if a*x + b*y == n:\n return (x, y)\n return None\n\n# Test cases"} +{"task_id": "Mbpp/161", "solution": "def remove_elements(lst1, lst2):\n return [i for i in lst1 if i not in lst2]\n\nassert remove_elements([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], [2, 4, 6, 8]) == [1, 3, 5, 7, 9, 10]"} +{"task_id": "Mbpp/162", "solution": "def sum_series(n):\n total = 0\n while n > 0:\n total += n\n n -= 2\n return total\n\n# Test the function\nassert sum_series(6) == 12"} +{"task_id": "Mbpp/165", "solution": "def count_char_position(s):\n s = s.lower()\n return sum(1 for i in range(len(s)) if s[i] == chr(97 + i))\n\n# Test cases\nassert count_char_position(\"xbcefg\") == 2\nassert count_char_position(\"abcde\") == 5\nassert count_char_position(\"Xbcefg\") == 2\nassert count_char_position(\"\") == 0\nassert count_char_position(\"abcd\") == 4"} +{"task_id": "Mbpp/166", "solution": "def find_even_pair(lst):\n count = 0\n for i in range(len(lst)):\n for j in range(i+1, len(lst)):\n if lst[i] ^ lst[j] % 2 == 0:\n count += 1\n return count\n\n# Test the function\nassert find_even_pair([5, 4, 7, 2, 1]) == 4"} +{"task_id": "Mbpp/167", "solution": "def next_power_of_2(n):\n if n <= 0:\n return 1\n else:\n return 2 ** (n - 1).bit_length()\n\n# Test cases\nassert next_power_of_2(0) == 1\nassert next_power_of_2(1) == 2\nassert next_power_of_2(2) == 4\nassert next_power_of_2(3) == 8\nassert next_power_of_2(4) == 8\nassert next_power_of_2(5) == 16\nassert next_power_of_2(6) == 16\nassert next_power_of_2(7) == 32\nassert next_power_of_2(8) == 32\nassert next_power_of_2(9) == 64\nassert next_power_of_2(10) == 64"} +{"task_id": "Mbpp/168", "solution": "def frequency(lst, num):\n return lst.count(num)\n\n# Test cases"} +{"task_id": "Mbpp/170", "solution": "def sum_range_list(lst, start, end):\n return sum(lst[start:end+1])\n\n# Test the function\nassert sum_range_list([2,1,5,6,8,3,4,9,10,11,8,12], 8, 10) == 29"} +{"task_id": "Mbpp/171", "solution": "def perimeter_pentagon(side_length):\n return 5 * side_length\n\n# Test the function\nassert perimeter_pentagon(5) == 25"} +{"task_id": "Mbpp/172", "solution": "def count_occurance(s):\n return s.count('std')\n\n# Test the function\nassert count_occurance(\"letstdlenstdporstd\") == 3"} +{"task_id": "Mbpp/222", "solution": "def check_type(tup):\n return all(isinstance(x, type(tup[0])) for x in tup)\n\n# Test cases"} +{"task_id": "Mbpp/223", "solution": "def is_majority(arr, n, elm):\n count = arr.count(elm)\n if count > n / 2:\n return True\n else:\n return False\n\n# Test the function\nassert is_majority([1, 2, 3, 3, 3, 3, 10], 7, 3) == True"} +{"task_id": "Mbpp/224", "solution": "def count_Set_Bits(n):\n return bin(n).count('1')\n\n# Test the function\nassert count_Set_Bits(2) == 1"} +{"task_id": "Mbpp/226", "solution": "def odd_values_string(s):\n return s[::2]\n\nassert odd_values_string('abcdef') == 'ace'"} +{"task_id": "Mbpp/227", "solution": "def min_of_three(a, b, c):\n return min(a, b, c)\n\n# Test the function\nassert min_of_three(10,20,0)==0"} +{"task_id": "Mbpp/230", "solution": "def replace_blank(s, c):\n return s.replace(' ', c)\n\n# Test the function\nassert replace_blank(\"hello people\",'@')==(\"hello@people\")"} +{"task_id": "Mbpp/232", "solution": "def larg_num(lst, n):\n # Sort the list in descending order\n lst.sort(reverse=True)\n # Return the first n elements\n return lst[:n]\n\n# Test the function\nassert set(larg_num([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100], 2)) == set([100, 90])"} +{"task_id": "Mbpp/233", "solution": "import math\n\ndef lateral_surface_cylinder(radius, height):\n return 2 * math.pi * radius * height\n\n# Test the function\nassert math.isclose(lateral_surface_cylinder(10,5), 314.15000000000003, rel_tol=0.001)"} +{"task_id": "Mbpp/234", "solution": "def volume_cube(side_length):\n \"\"\"\n This function calculates the volume of a cube given its side length.\n \"\"\"\n return side_length ** 3\n\n# Test the function\nassert volume_cube(3) == 27"} +{"task_id": "Mbpp/235", "solution": "def even_bit_set_number(n):\n binary = bin(n)[2:] # Convert to binary and remove '0b' prefix\n binary = '0' + binary # Add leading zero to make it 1-indexed\n binary = list(binary) # Convert to list for easy manipulation\n\n for i in range(0, len(binary), 2): # Go through every even index\n binary[i] = '1' # Set bit to 1\n\n return int(''.join(binary), 2) # Convert back to integer and return\n\n# Test the function\nassert even_bit_set_number(10) == 10"} +{"task_id": "Mbpp/237", "solution": "def check_occurences(lst):\n count_dict = {}\n for tup in lst:\n if tup in count_dict:\n count_dict[tup] += 1\n else:\n count_dict[tup] = 1\n return count_dict\n\n# Test the function\nassert check_occurences([(3, 1), (1, 3), (2, 5), (5, 2), (6, 3)]) == {(1, 3): 2, (2, 5): 2, (3, 6): 1}"} +{"task_id": "Mbpp/238", "solution": "def number_of_substrings(s):\n n = len(s)\n return n * (n + 1) // 2\n\n# Test the function\nassert number_of_substrings(\"abc\") == 6"} +{"task_id": "Mbpp/239", "solution": "def get_total_number_of_sequences(m, n):\n # Initialize a list to store the sequences\n sequences = [[[i]] for i in range(1, min(m, n) + 1)]\n\n # Iterate over the length of the sequences\n for j in range(1, n):\n # Iterate over the possible starting numbers\n for i in range(1, m + 1):\n # Iterate over the sequences of length j\n for seq in sequences[j - 1]:\n # If the last number in the sequence is less than i, add a new sequence\n if seq[-1] < i:\n sequences[j].append(seq + [i])\n\n # Return the total number of sequences\n return len(sequences[-1])\n\n# Test the function\nassert get_total_number_of_sequences(10, 4) == 4"} +{"task_id": "Mbpp/240", "solution": "def replace_list(list1, list2):\n list1[-1:] = list2\n return list1\n\n# Test the function\nassert replace_list([1, 3, 5, 7, 9, 10],[2, 4, 6, 8])==[1, 3, 5, 7, 9, 2, 4, 6, 8]"} +{"task_id": "Mbpp/242", "solution": "def count_charac(string):\n return len(string)\n\n# Test the function\nassert count_charac(\"python programming\") == 18"} +{"task_id": "Mbpp/244", "solution": "def next_Perfect_Square(n):\n # Calculate the square root of the given number\n root = n ** 0.5\n\n # If the square root is not an integer, increment it by 1\n if not root.is_integer():\n root = int(root) + 1\n else:\n root = int(root)\n\n # Return the square of the root\n return root ** 2\n\n# Test the function\nassert next_Perfect_Square(35) == 36"} +{"task_id": "Mbpp/245", "solution": "def max_sum(arr):\n n = len(arr)\n if n < 3:\n return sum(arr)\n\n # Initialize variables\n inc = [0]*n\n dec = [0]*n\n\n # Calculate increasing subsequence values\n for i in range(1, n):\n for j in range(i):\n if arr[i] > arr[j] and inc[i] < inc[j] + arr[i]:\n inc[i] = inc[j] + arr[i]\n if inc[i] == 0:\n inc[i] = arr[i]\n\n # Calculate decreasing subsequence values\n for i in range(n-2, -1, -1):\n for j in range(n-1, i, -1):\n if arr[i] > arr[j] and dec[i] < dec[j] + arr[i]:\n dec[i] = dec[j] + arr[i]\n if dec[i] == 0:\n dec[i] = arr[i]\n\n # Find maximum sum of bitonic subsequence\n bitonic = [0]*n\n for i in range(n):\n bitonic[i] = inc[i] + dec[i] - arr[i]\n\n return max(bitonic)\n\n# Test the function\nassert max_sum([1, 15, 51, 45, 33, 100, 12, 18, 9]) == 194"} +{"task_id": "Mbpp/247", "solution": "def lps(s):\n n = len(s)\n dp = [[0]*n for _ in range(n)]\n for i in range(n-1, -1, -1):\n dp[i][i] = 1\n for j in range(i+1, n):\n if s[i] == s[j]:\n dp[i][j] = 2 + dp[i+1][j-1]\n else:\n dp[i][j] = max(dp[i+1][j], dp[i][j-1])\n return dp[0][n-1]\n\nassert lps(\"TENS FOR TENS\") == 5"} +{"task_id": "Mbpp/250", "solution": "def count_X(tup, elem):\n return tup.count(elem)\n\n# Test the function\nassert count_X((10, 8, 5, 2, 10, 15, 10, 8, 5, 8, 8, 2), 4) == 0"} +{"task_id": "Mbpp/251", "solution": "def insert_element(lst, element):\n result = []\n for i in lst:\n result.extend([element, i])\n return result\n\n# Test the function\nassert insert_element(['Red', 'Green', 'Black'], 'c') == ['c', 'Red', 'c', 'Green', 'c', 'Black']"} +{"task_id": "Mbpp/252", "solution": "import cmath\n\ndef convert(complex_num):\n \"\"\"\n This function converts a complex number to polar coordinates.\n \"\"\"\n # Convert the complex number to polar coordinates using cmath.polar\n r, phi = cmath.polar(complex_num)\n # Return the polar coordinates as a tuple\n return (r, phi)\n\n# Test the function\nassert convert(1) == (1.0, 0.0)"} +{"task_id": "Mbpp/253", "solution": "def count_integer(lst):\n return sum(1 for i in lst if isinstance(i, int))\n\n# Test the function\nassert count_integer([1,2,'abc',1.2]) == 2"} +{"task_id": "Mbpp/255", "solution": "from itertools import product\n\ndef combinations_colors(lst, n):\n return list(product(*([lst]*n)))\n\n# Test the function"} +{"task_id": "Mbpp/256", "solution": "def count_Primes_nums(n):\n if n < 2:\n return 0\n primes = [True] * n\n p = 2\n while p * p <= n:\n if primes[p]:\n for i in range(p * p, n, p):\n primes[i] = False\n p += 1\n return sum(primes) - 2 # subtract 2 to exclude 0 and 1\n\n# Test the function\nassert count_Primes_nums(5) == 2"} +{"task_id": "Mbpp/257", "solution": "def swap_numbers(a, b):\n return b, a\n\n# Test the function\nassert swap_numbers(10,20)==(20,10)"} +{"task_id": "Mbpp/259", "solution": "def maximize_elements(t1, t2):\n return tuple(max(a, b) for a, b in zip(t1, t2))\n\n# Test the function\nassert maximize_elements(((1, 3), (4, 5), (2, 9), (1, 10)), ((6, 7), (3, 9), (1, 1), (7, 3))) == ((6, 7), (4, 9), (2, 9), (7, 10))"} +{"task_id": "Mbpp/260", "solution": "def newman_prime(n):\n def is_prime(num):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n count = 0\n num = 2\n while True:\n if is_prime(num):\n count += 1\n if count == n:\n return num\n num += 1\n\n# Test the function\nassert newman_prime(3) == 7"} +{"task_id": "Mbpp/261", "solution": "def division_elements(t1, t2):\n return tuple(map(lambda x, y: x / y, t1, t2))\n\nassert division_elements((10, 4, 6, 9),(5, 2, 3, 3)) == (2, 2, 2, 3)"} +{"task_id": "Mbpp/262", "solution": "def split_two_parts(lst, L):\n return (lst[:L], lst[L:])\n\n# Test the function\nassert split_two_parts([1,1,2,3,4,4,5,1],3)==([1, 1, 2], [3, 4, 4, 5, 1])"} +{"task_id": "Mbpp/264", "solution": "def dog_age(human_years):\n if human_years <= 2:\n return human_years * 10.5\n else:\n return 21 + (human_years - 2) * 4\n\n# Test the function\nassert dog_age(12) == 61"} +{"task_id": "Mbpp/265", "solution": "def list_split(lst, n):\n return [lst[i:i + n] for i in range(0, len(lst), n)]\n\n# Test the function"} +{"task_id": "Mbpp/266", "solution": "def lateralsurface_cube(side_length):\n return 4 * side_length ** 2\n\n# Test the function\nassert lateralsurface_cube(5) == 100"} +{"task_id": "Mbpp/267", "solution": "def square_Sum(n):\n sum = 0\n for i in range(1, 2*n, 2):\n sum += i*i\n return sum\n\n# Test the function\nassert square_Sum(2) == 10"} +{"task_id": "Mbpp/268", "solution": "def find_star_num(n):\n return n*(7*n - 5)//2\n\n# Test the function\nassert find_star_num(3) == 37"} +{"task_id": "Mbpp/269", "solution": "def ascii_value(char):\n return ord(char)\n\n# Test the function\nassert ascii_value('A') == 65"} +{"task_id": "Mbpp/270", "solution": "def sum_even_and_even_index(lst):\n return sum(val for idx, val in enumerate(lst) if idx % 2 == 0 and val % 2 == 0)\n\n# Test the function\nassert sum_even_and_even_index([5, 6, 12, 1, 18, 8]) == 30"} +{"task_id": "Mbpp/271", "solution": "def even_Power_Sum(n):\n sum = 0\n for i in range(2, 2*n+1, 2):\n sum += i**5\n return sum\n\n# Test the function\nassert even_Power_Sum(2) == 1056"} +{"task_id": "Mbpp/272", "solution": "def rear_extract(lst):\n return [i[-1] for i in lst]\n\n# Testing the function\nassert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19]"} +{"task_id": "Mbpp/273", "solution": "def substract_elements(t1, t2):\n return tuple(x1 - x2 for x1, x2 in zip(t1, t2))\n\n# Test the function\nassert substract_elements((10, 4, 5), (2, 5, 18)) == (8, -1, -13)"} +{"task_id": "Mbpp/274", "solution": "def even_binomial_Coeff_Sum(n):\n # Initialize the sum to 0\n sum = 0\n # Loop through the range of n\n for i in range(n+1):\n # Check if the index is even\n if i % 2 == 0:\n # Calculate the binomial coefficient and add it to the sum\n sum += binomial_coefficient(n, i)\n return sum\n\ndef binomial_coefficient(n, k):\n # Calculate the binomial coefficient using the formula nCk = n! / [(n-k)! * k!]\n return factorial(n) / (factorial(n-k) * factorial(k))\n\ndef factorial(n):\n # Calculate the factorial of a number using a loop\n if n == 0:\n return 1\n else:\n fact = 1\n for i in range(1, n+1):\n fact *= i\n return fact\n\n# Test the function\nassert even_binomial_Coeff_Sum(4) == 8"} +{"task_id": "Mbpp/276", "solution": "import math\n\ndef volume_cylinder(radius, height):\n return math.pi * radius**2 * height\n\n# Test the function\nassert math.isclose(volume_cylinder(10,5), 1570.7963267948966, rel_tol=0.001)"} +{"task_id": "Mbpp/277", "solution": "def dict_filter(d, n):\n return {k: v for k, v in d.items() if v >= n}\n\n# Test the function\nassert dict_filter({'Cierra Vega': 175, 'Alden Cantrell': 180, 'Kierra Gentry': 165, 'Pierre Cox': 190},170)=={'Cierra Vega': 175, 'Alden Cantrell': 180, 'Pierre Cox': 190}"} +{"task_id": "Mbpp/278", "solution": "def count_first_elements(tup):\n count = 0\n for i in tup:\n if isinstance(i, tuple):\n break\n count += 1\n return count\n\n# Test the function\nassert count_first_elements((1, 5, 7, (4, 6), 10)) == 3"} +{"task_id": "Mbpp/279", "solution": "def is_num_decagonal(n):\n return n*(7*n-5)//2\n\n# Test the function\nassert is_num_decagonal(3) == 27"} +{"task_id": "Mbpp/280", "solution": "def sequential_search(array, element):\n for i in range(len(array)):\n if array[i] == element:\n return (True, i)\n return (False, -1)\n\n# Test the function"} +{"task_id": "Mbpp/281", "solution": "def all_unique(lst):\n return len(lst) == len(set(lst))\n\n# Test cases"} +{"task_id": "Mbpp/282", "solution": "def sub_list(list1, list2):\n return [a - b for a, b in zip(list1, list2)]\n\n# Test the function\nassert sub_list([1, 2, 3],[4,5,6])==[-3,-3,-3]"} +{"task_id": "Mbpp/283", "solution": "def validate(n):\n # Convert the integer to a string to easily access each digit\n str_n = str(n)\n # Iterate over each digit in the string representation of the integer\n for digit in str_n:\n # Count the number of times the digit appears in the string representation of the integer\n count = str_n.count(digit)\n # If the count is greater than the digit itself, return False\n if count > int(digit):\n return False\n # If we've gone through all the digits without finding a count that's greater than the digit, return True\n return True\n\n# Test the function with the provided examples"} +{"task_id": "Mbpp/284", "solution": "def check_element(lst, elm):\n return all(i == elm for i in lst)\n\n# Test the function"} +{"task_id": "Mbpp/285", "solution": "import re\n\ndef text_match_two_three(text):\n pattern = 'ab{2,3}'\n if re.search(pattern, text):\n return True\n else:\n return False\n\n# Test cases"} +{"task_id": "Mbpp/286", "solution": "def max_sub_array_sum_repeated(arr, k, n):\n # Calculate the sum of the array\n total_sum = sum(arr)\n\n # Calculate the sum of the array repeated k times\n repeated_sum = total_sum * k\n\n # Calculate the maximum subarray sum using Kadane's algorithm\n max_sum = current_sum = repeated_sum\n for i in range(n):\n current_sum = max(arr[i], current_sum + arr[i])\n max_sum = max(max_sum, current_sum)\n\n return max_sum\n\n# Test the function\nassert max_sub_array_sum_repeated([10, 20, -30, -1], 4, 4) == 30"} +{"task_id": "Mbpp/287", "solution": "def square_Sum(n):\n sum = 0\n for i in range(1, n+1):\n sum += i*i\n return sum*2\n\n# Test the function\nassert square_Sum(2) == 20"} +{"task_id": "Mbpp/290", "solution": "def max_length(lst):\n max_len = max(len(sub_lst) for sub_lst in lst)\n max_sub_lst = [sub_lst for sub_lst in lst if len(sub_lst) == max_len]\n return max_len, max_sub_lst[0]\n\n# Test the function\nassert max_length([[0], [1, 3], [5, 7], [9, 11], [13, 15, 17]])==(3, [13, 15, 17])"} +{"task_id": "Mbpp/292", "solution": "def find(num1, num2):\n return num1 // num2\n\n# Test the function\nassert find(10, 3) == 3"} +{"task_id": "Mbpp/293", "solution": "import math\n\ndef otherside_rightangle(base, height):\n \"\"\"\n This function calculates the length of the third side of a right-angled triangle.\n It takes two arguments: base and height of the right-angled triangle.\n It returns the length of the third side.\n \"\"\"\n return math.sqrt(base**2 + height**2)\n\n# Test the function\nassert otherside_rightangle(7, 8) == 10.63014581273465"} +{"task_id": "Mbpp/294", "solution": "def max_val(lst):\n max_value = None\n for item in lst:\n if isinstance(item, int) or isinstance(item, float):\n if max_value is None or item > max_value:\n max_value = item\n return max_value\n\n# Test the function\nassert max_val(['Python', 3, 2, 4, 5, 'version'])==5"} +{"task_id": "Mbpp/296", "solution": "def get_Inv_Count(arr):\n inv_count = 0\n for i in range(len(arr)):\n for j in range(i + 1, len(arr)):\n if arr[i] > arr[j]:\n inv_count += 1\n return inv_count\n\n# Test the function\nassert get_Inv_Count([1,20,6,4,5]) == 5"} +{"task_id": "Mbpp/297", "solution": "def flatten_list(nested_list):\n flat_list = []\n for i in nested_list:\n if isinstance(i, list):\n flat_list.extend(flatten_list(i))\n else:\n flat_list.append(i)\n return flat_list\n\n# Test the function\nassert flatten_list([0, 10, [20, 30], 40, 50, [60, 70, 80], [90, 100, 110, 120]]) == [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120]"} +{"task_id": "Mbpp/299", "solution": "def max_aggregate(lst):\n # Create a dictionary to store the sum of scores for each name\n scores = {}\n for name, score in lst:\n if name in scores:\n scores[name] += score\n else:\n scores[name] = score\n\n # Find the name with the maximum score\n max_score = max(scores.values())\n max_name = [name for name, score in scores.items() if score == max_score][0]\n\n return (max_name, max_score)\n\n# Test the function\nassert max_aggregate([('Juan Whelan',90),('Sabah Colley',88),('Peter Nichols',7),('Juan Whelan',122),('Sabah Colley',84)])==('Juan Whelan', 212)"} +{"task_id": "Mbpp/300", "solution": "def count_binary_seq(n):\n # Initialize a list to store the count of binary sequences\n # for each possible sum of the first n bits\n counts = [0] * (2*n + 1)\n\n # Initialize the count of binary sequences for n=0\n counts[0] = 1\n\n # Iterate over each bit position from 0 to 2n-1\n for _ in range(2*n):\n # Iterate over each possible sum of the first n bits\n for j in range(2*n, -1, -1):\n # Update the count of binary sequences for the next bit position\n counts[j] = counts[j] * 2 + (counts[j-1] if j > 0 else 0)\n\n # Return the count of binary sequences where the sum of the first n bits is the same as the sum of the last n bits\n return counts[n]\n\n# Test the function\nassert math.isclose(count_binary_seq(1), 2.0, rel_tol=0.001)"} +{"task_id": "Mbpp/301", "solution": "def dict_depth(d):\n if not isinstance(d, dict) or not d:\n return 1\n return 1 + max(dict_depth(v) for v in d.values())\n\n# Test cases\nassert dict_depth({'a':1, 'b': {'c': {'d': {}}}})==4\nassert dict_depth({'a':1, 'b': {'c': {'d': {'e': {}}}}})==5\nassert dict_depth({'a':1, 'b': {'c': {'d': {'e': {'f': {}}}}} })==6\nassert dict_depth({'a':1})==1\nassert dict_depth({})==1"} +{"task_id": "Mbpp/305", "solution": "def start_withp(words_list):\n for words in words_list:\n for word in words.split():\n if word.lower().startswith('p'):\n return word,\n\nassert start_withp([\"Python PHP\", \"Java JavaScript\", \"c c++\"])==('Python', 'PHP')"} +{"task_id": "Mbpp/306", "solution": "def max_sum_increasing_subseq(arr, n, k, i):\n # Initialize the dp array with the given array values\n dp = arr[:]\n # Initialize the max_sum variable with the value at the kth index\n max_sum = arr[k]\n # Iterate over the array from the (i+1)th index to the end\n for j in range(i+1, n):\n # Iterate over the array from the 0th index to the (i-1)th index\n for x in range(0, i):\n # If the current element is greater than the (i-1)th element and the sum of the dp[x] and the current element is greater than the dp[j]\n if arr[j] > arr[x] and dp[x] + arr[j] > dp[j]:\n # Update the dp[j] with the new sum\n dp[j] = dp[x] + arr[j]\n # Update the max_sum with the maximum of the current max_sum and the dp[j]\n max_sum = max(max_sum, dp[j])\n # Return the max_sum\n return max_sum\n\n# Test the function\nassert max_sum_increasing_subseq([1, 101, 2, 3, 100, 4, 5 ], 7, 4, 6) == 11"} +{"task_id": "Mbpp/308", "solution": "def large_product(list1, list2, n):\n products = [(x * y) for x in list1 for y in list2]\n products.sort(reverse=True)\n return products[:n]\n\n# Test the function\nassert large_product([1, 2, 3, 4, 5, 6],[3, 6, 8, 9, 10, 6],3)==[60, 54, 50]"} +{"task_id": "Mbpp/309", "solution": "def maximum(num1, num2):\n if num1 > num2:\n return num1\n else:\n return num2\n\n# Test the function\nassert maximum(5,10) == 10"} +{"task_id": "Mbpp/310", "solution": "def string_to_tuple(s):\n return tuple(s)\n\n# Test the function\nassert string_to_tuple(\"python 3.0\") == ('p', 'y', 't', 'h', 'o', 'n', ' ', '3', '.', '0')"} +{"task_id": "Mbpp/311", "solution": "def set_left_most_unset_bit(n):\n if n == 0:\n return 1\n if n % 2 == 1:\n return n\n else:\n return n + 1\n\n# Test the function\nassert set_left_most_unset_bit(10) == 14"} +{"task_id": "Mbpp/312", "solution": "import math\n\ndef volume_cone(radius, height):\n return (1/3) * math.pi * radius**2 * height\n\n# Test the function\nassert math.isclose(volume_cone(5,12), 314.15926535897927, rel_tol=0.001)"} +{"task_id": "Mbpp/388", "solution": "def highest_Power_of_2(n):\n i = 0\n while 2 ** i <= n:\n i += 1\n return 2 ** (i - 1)\n\n# Test the function\nassert highest_Power_of_2(10) == 8"} +{"task_id": "Mbpp/389", "solution": "def find_lucas(n):\n if n == 0:\n return 2\n if n == 1:\n return 1\n lucas_numbers = [2, 1]\n for i in range(2, n + 1):\n lucas_numbers.append(lucas_numbers[i - 1] + lucas_numbers[i - 2])\n return lucas_numbers[n]\n\n# Test the function\nassert find_lucas(9) == 76"} +{"task_id": "Mbpp/390", "solution": "def add_string(lst, fmt_str):\n return [fmt_str.format(i) for i in lst]\n\n# Test the function\nassert add_string([1,2,3,4],'temp{0}')==['temp1', 'temp2', 'temp3', 'temp4']"} +{"task_id": "Mbpp/391", "solution": "def convert_list_dictionary(keys, names, values):\n result = []\n for i in range(len(keys)):\n temp_dict = {keys[i]: {names[i]: values[i]}}\n result.append(temp_dict)\n return result\n\n# Test the function\nkeys = [\"S001\", \"S002\", \"S003\", \"S004\"]\nnames = [\"Adina Park\", \"Leyton Marsh\", \"Duncan Boyle\", \"Saim Richards\"]\nvalues = [85, 98, 89, 92]\n\nassert convert_list_dictionary(keys, names, values) == [{'S001': {'Adina Park': 85}}, {'S002': {'Leyton Marsh': 98}}, {'S003': {'Duncan Boyle': 89}}, {'S004': {'Saim Richards': 92}}]"} +{"task_id": "Mbpp/392", "solution": "def get_max_sum(n):\n if n <= 1:\n return n\n else:\n return max(get_max_sum(n/2) + get_max_sum(n/3) + get_max_sum(n/4) + get_max_sum(n/5), n)\n\nassert get_max_sum(60) == 106"} +{"task_id": "Mbpp/394", "solution": "def check_distinct(tup):\n return len(tup) == len(set(tup))\n\n# Test the function\nassert check_distinct((1, 4, 5, 6, 1, 4)) == False"} +{"task_id": "Mbpp/395", "solution": "def first_non_repeating_character(s):\n char_count = {}\n for char in s:\n if char in char_count:\n char_count[char] += 1\n else:\n char_count[char] = 1\n for char in s:\n if char_count[char] == 1:\n return char\n return None\n\n# Test cases\nassert first_non_repeating_character(\"abcabc\") == None\nassert first_non_repeating_character(\"aabbcc\") == None\nassert first_non_repeating_character(\"aabbccd\") == 'd'\nassert first_non_repeating_character(\"\") == None"} +{"task_id": "Mbpp/397", "solution": "def median_numbers(a, b, c):\n \"\"\"\n This function takes three numbers as input and returns their median.\n \"\"\"\n # Sort the numbers\n numbers = sorted([a, b, c])\n \n # Return the middle number\n return numbers[1]\n\n# Test the function\nassert median_numbers(25, 55, 65) == 55.0"} +{"task_id": "Mbpp/398", "solution": "def sum_of_digits(lst):\n return [sum(int(digit) for digit in str(num)) for num in lst]\n\n# Test the function\nassert sum_of_digits([10,2,56]) == [1, 2, 11]"} +{"task_id": "Mbpp/404", "solution": "def minimum(a, b):\n if a < b:\n return a\n else:\n return b\n\n# Test the function\nassert minimum(1, 2) == 1"} +{"task_id": "Mbpp/405", "solution": "def check_tuplex(tuplex, element):\n return element in tuplex\n\n# Test the function\nassert check_tuplex((\"w\", 3, \"r\", \"e\", \"s\", \"o\", \"u\", \"r\", \"c\", \"e\"),'r')==True"} +{"task_id": "Mbpp/406", "solution": "def find_Parity(n):\n return n % 2 != 0\n\n# Test cases\nassert find_Parity(12) == False\nassert find_Parity(11) == True\nassert find_Parity(0) == False\nassert find_Parity(-11) == True\nassert find_Parity(-12) == False"} +{"task_id": "Mbpp/409", "solution": "def min_product_tuple(lst):\n return min(x*y for x, y in lst)\n\n# Test the function\nassert min_product_tuple([(2, 7), (2, 6), (1, 8), (4, 9)]) == 8"} +{"task_id": "Mbpp/410", "solution": "def min_val(lst):\n # Filter out non-numeric values and find the minimum\n min_val = min([i for i in lst if isinstance(i, (int, float))])\n return min_val\n\n# Test the function\nassert min_val(['Python', 3, 2, 4, 5, 'version']) == 2"} +{"task_id": "Mbpp/412", "solution": "def remove_odd(numbers):\n return [num for num in numbers if num % 2 == 0]\n\nassert remove_odd([1,2,3]) == [2]"} +{"task_id": "Mbpp/413", "solution": "def extract_nth_element(lst, n):\n return [x[n] for x in lst]\n\n# Test the function\nassert extract_nth_element([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 0) == ['Greyson Fulton', 'Brady Kent', 'Wyatt Knott', 'Beau Turnbull']"} +{"task_id": "Mbpp/414", "solution": "def overlapping(seq1, seq2):\n for i in seq1:\n if i in seq2:\n return True\n return False\n\n# Test cases"} +{"task_id": "Mbpp/415", "solution": "def max_Product(arr):\n arr.sort()\n return (arr[-1], arr[-2]) if arr[-1] * arr[-2] > arr[0] * arr[1] else (arr[0], arr[1])\n\n# Test the function\nassert max_Product([1,2,3,4,7,0,8,4]) == (7,8)"} +{"task_id": "Mbpp/418", "solution": "def Find_Max(lst):\n max_len = max(len(sublist) for sublist in lst)\n for sublist in lst:\n if len(sublist) == max_len:\n return sublist\n\n# Test the function\nassert Find_Max([['A'],['A','B'],['A','B','C']]) == ['A','B','C']"} +{"task_id": "Mbpp/419", "solution": "def round_and_sum(numbers):\n rounded_numbers = [round(num) for num in numbers]\n total_sum = sum(rounded_numbers)\n result = total_sum * len(rounded_numbers)\n return result\n\n# Test the function\nassert round_and_sum([22.4, 4.0, -16.22, -9.10, 11.00, -12.22, 14.20, -5.20, 17.50])==243"} +{"task_id": "Mbpp/420", "solution": "def cube_Sum(n):\n sum = 0\n for i in range(1, n+1):\n sum += i*2*i\n return sum\n\n# Test the function\nassert cube_Sum(2) == 72"} +{"task_id": "Mbpp/421", "solution": "def concatenate_tuple(tup):\n return '-'.join(str(i) for i in tup)\n\n# Test the function\nassert concatenate_tuple((\"ID\", \"is\", 4, \"UTS\")) == 'ID-is-4-UTS'"} +{"task_id": "Mbpp/422", "solution": "def find_Average_Of_Cube(n):\n sum_of_cubes = sum([i**3 for i in range(1, n+1)])\n average = sum_of_cubes / n\n return average\n\n# Test the function\nassert find_Average_Of_Cube(2) == 4.5"} +{"task_id": "Mbpp/424", "solution": "def extract_rear(tup):\n return [s[-1] for s in tup]\n\nassert extract_rear(('Mers', 'for', 'Vers')) == ['s', 'r', 's']"} +{"task_id": "Mbpp/425", "solution": "def count_element_in_list(lst, element):\n count = 0\n for sublist in lst:\n if element in sublist:\n count += 1\n return count\n\n# Test the function\nassert count_element_in_list([[1, 3], [5, 7], [1, 11], [1, 15, 7]], 1) == 3"} +{"task_id": "Mbpp/426", "solution": "def filter_oddnumbers(numbers):\n return [num for num in numbers if num % 2 == 0]\n\nassert filter_oddnumbers([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [2, 4, 6, 8, 10]"} +{"task_id": "Mbpp/427", "solution": "def change_date_format(date):\n # Split the date into year, month, and day\n year, month, day = date.split('-')\n # Return the date in the desired format\n return '{}-{}-{}'.format(day, month, year)\n\n# Test the function\nassert change_date_format(\"2026-01-02\") == '02-01-2026'"} +{"task_id": "Mbpp/428", "solution": "def shell_sort(arr):\n n = len(arr)\n gap = n//2\n\n while gap > 0:\n for i in range(gap,n):\n temp = arr[i]\n j = i\n while j >= gap and arr[j-gap] >temp:\n arr[j] = arr[j-gap]\n j -= gap\n arr[j] = temp\n gap //= 2\n return arr\n\nassert shell_sort([12, 23, 4, 5, 3, 2, 12, 81, 56, 95]) == [2, 3, 4, 5, 12, 12, 23, 56, 81, 95]"} +{"task_id": "Mbpp/429", "solution": "def and_tuples(t1, t2):\n return tuple(x & y for x, y in zip(t1, t2))\n\n# Test the function\nassert and_tuples((10, 4, 6, 9), (5, 2, 3, 3)) == (0, 0, 2, 1)"} +{"task_id": "Mbpp/430", "solution": "def parabola_directrix(a, h, k):\n \"\"\"\n Function to find the directrix of a parabola.\n The directrix of a parabola is the line that is perpendicular to the x-axis and intersects the parabola at its vertex.\n The equation of a parabola is y = a*(x-h)^2 + k.\n The equation of the directrix is x = h.\n The function takes three parameters: a, h, and k.\n It returns the y-coordinate of the directrix.\n \"\"\"\n return a * (h - h) ** 2 + k\n\n# Test the function\nassert parabola_directrix(5, 3, 2) == -198"} +{"task_id": "Mbpp/432", "solution": "def median_trapezium(a, b, c):\n \"\"\"\n This function calculates the median length of a trapezium.\n The median of a trapezium is the length of the line segment that divides the trapezium into two equal parts.\n The lengths of the parallel sides of the trapezium are given by a, b, and c.\n The median is calculated as (a+b+c)/2.\n \"\"\"\n return (a + b + c) / 2\n\n# Test the function\nassert median_trapezium(15, 25, 35) == 20"} +{"task_id": "Mbpp/433", "solution": "def check_greater(arr, num):\n for i in arr:\n if i <= num:\n return False\n return True\n\n# Test the function"} +{"task_id": "Mbpp/435", "solution": "def last_Digit(n):\n return n % 10\n\n# Test the function\nassert last_Digit(123) == 3"} +{"task_id": "Mbpp/436", "solution": "def neg_nos(lst):\n return [num for num in lst if num < 0]\n\nassert neg_nos([-1,4,5,-6]) == [-1,-6]"} +{"task_id": "Mbpp/437", "solution": "def remove_odd(s):\n return s[::2]\n\nassert remove_odd(\"python\") == \"yhn\""} +{"task_id": "Mbpp/439", "solution": "def multiple_to_single(nums):\n return int(''.join(map(str, nums)))\n\n# Test the function\nassert multiple_to_single([11, 33, 50])==113350"} +{"task_id": "Mbpp/440", "solution": "import nltk\nfrom nltk.tokenize import word_tokenize\nfrom nltk.corpus import stopwords\n\nnltk.download('punkt')\nnltk.download('averaged_perceptron_tagger')\nnltk.download('stopwords')\n\ndef find_adverb_position(sentence):\n stop_words = set(stopwords.words('english'))\n words = word_tokenize(sentence)\n pos_tags = nltk.pos_tag(words)\n\n for i in range(len(pos_tags)):\n word, tag = pos_tags[i]\n if tag in ['RB', 'RBR', 'RBS', 'WRB'] and word not in stop_words:\n return i, i+1, word\n\n return None\n\n# Test the function\nassert find_adverb_position(\"clearly!! we can see the sky\")==(0, 7, 'clearly')"} +{"task_id": "Mbpp/441", "solution": "def surfacearea_cube(side_length):\n return 6 * side_length ** 2\n\n# Test the function\nassert surfacearea_cube(5) == 150"} +{"task_id": "Mbpp/445", "solution": "def index_multiplication(tuples):\n tuple1, tuple2 = tuples\n result = []\n for i in range(len(tuple1)):\n result.append(tuple(a*b for a, b in zip(tuple1[i], tuple2[i])))\n return tuple(result)\n\n# Test the function\nassert index_multiplication((((1, 3), (4, 5), (2, 9), (1, 10)), ((6, 7), (3, 9), (1, 1), (7, 3)))) == ((6, 21), (12, 45), (2, 9), (7, 30))"} +{"task_id": "Mbpp/446", "solution": "def count_Occurrence(tup, lst):\n count = 0\n for element in lst:\n count += tup.count(element)\n return count\n\n# Test the function\nassert count_Occurrence(('a', 'a', 'c', 'b', 'd'),['a', 'b']) == 3"} +{"task_id": "Mbpp/447", "solution": "def cube_nums(nums):\n return [num**3 for num in nums]\n\nassert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 8, 27, 64, 125, 216, 343, 512, 729, 1000]"} +{"task_id": "Mbpp/448", "solution": "def cal_sum(n):\n # Initialize the first three Perrin numbers\n perrin = [3, 0, 2]\n \n # Calculate the rest of the Perrin numbers\n for i in range(3, n):\n perrin.append(perrin[i-2] + perrin[i-1] + 1)\n \n # Return the sum of the first n Perrin numbers\n return sum(perrin[:n])\n\n# Test the function\nassert cal_sum(9) == 49"} +{"task_id": "Mbpp/450", "solution": "def extract_string(lst, size):\n return [s for s in lst if len(s) == size]\n\n# Test the function\nassert extract_string(['Python', 'list', 'exercises', 'practice', 'solution'], 8) == ['practice', 'solution']"} +{"task_id": "Mbpp/451", "solution": "def remove_whitespaces(input_string):\n return input_string.replace(\" \", \"\")\n\n# Test the function\nassert remove_whitespaces(' Google Flutter ') == 'GoogleFlutter'"} +{"task_id": "Mbpp/453", "solution": "def sumofFactors(n):\n sum = 0\n for i in range(1, n+1):\n if n % i == 0 and i % 2 == 0:\n sum += i\n return sum\n\n# Test the function\nassert sumofFactors(18) == 26"} +{"task_id": "Mbpp/454", "solution": "import re\n\ndef text_match_wordz(text):\n pattern = r'\\b\\w*z\\w*\\b'\n if re.search(pattern, text):\n return True\n else:\n return False\n\n# Test the function"} +{"task_id": "Mbpp/455", "solution": "def check_month_number(month_number):\n # Months with 31 days: January, March, May, July, August, October, December\n thirty_one_days_months = [1, 3, 5, 7, 8, 10, 12]\n if month_number in thirty_one_days_months:\n return True\n else:\n return False\n\n# Test the function\nassert check_month_number(5) == True"} +{"task_id": "Mbpp/456", "solution": "def reverse_string_list(lst):\n return [s[::-1] for s in lst]\n\nassert reverse_string_list(['Red', 'Green', 'Blue', 'White', 'Black']) == ['deR', 'neerG', 'eulB', 'etihW', 'kcalB']"} +{"task_id": "Mbpp/457", "solution": "def Find_Min(lst):\n return min(lst, key=len)\n\n# Testing the function\nassert Find_Min([[1],[1,2],[1,2,3]]) == [1]"} +{"task_id": "Mbpp/458", "solution": "def rectangle_area(length, width):\n \"\"\"\n This function calculates the area of a rectangle.\n \"\"\"\n return length * width\n\n# Test the function\nassert rectangle_area(10,20)==200, \"Test case 1 failed\"\n"} +{"task_id": "Mbpp/459", "solution": "def remove_uppercase(s):\n return ''.join([c for c in s if not c.isupper()])\n\n# Test the function\nassert remove_uppercase('cAstyoUrFavoRitETVshoWs') == 'cstyoravoitshos'"} +{"task_id": "Mbpp/460", "solution": "def Extract(lst):\n return [sublist[0] for sublist in lst]\n\n# Test the function\nassert Extract([[1, 2], [3, 4, 5], [6, 7, 8, 9]]) == [1, 3, 6]"} +{"task_id": "Mbpp/462", "solution": "from itertools import chain, combinations\n\ndef combinations_list(lst):\n return list(chain(*[combinations(lst, i) for i in range(len(lst) + 1)]))\n\nassert combinations_list(['orange', 'red', 'green', 'blue']) == [[], ['orange'], ['red'], ['red', 'orange'], ['green'], ['green', 'orange'], ['green', 'red'], ['green', 'red', 'orange'], ['blue'], ['blue', 'orange'], ['blue', 'red'], ['blue', 'red', 'orange'], ['blue', 'green'], ['blue', 'green', 'orange'], ['blue', 'green', 'red'], ['blue', 'green', 'red', 'orange']]"} +{"task_id": "Mbpp/463", "solution": "def max_subarray_product(nums):\n if not nums:\n return 0\n\n max_product = min_product = result = nums[0]\n\n for i in range(1, len(nums)):\n if nums[i] < 0:\n max_product, min_product = min_product, max_product\n\n max_product = max(nums[i], max_product * nums[i])\n min_product = min(nums[i], min_product * nums[i])\n\n result = max(result, max_product)\n\n return result\n\nassert max_subarray_product([1, -2, -3, 0, 7, -8, -2]) == 112"} +{"task_id": "Mbpp/465", "solution": "def drop_empty(d):\n return {k: v for k, v in d.items() if v is not None}\n\nassert drop_empty({'c1': 'Red', 'c2': 'Green', 'c3':None})=={'c1': 'Red', 'c2': 'Green'}"} +{"task_id": "Mbpp/468", "solution": "def max_product(arr):\n n = len(arr)\n if n < 2:\n return None\n\n max_ending_here = max_ending_so_far = arr[0]\n for i in range(1, n):\n if arr[i] < 0:\n max_ending_here, max_ending_so_far = max_ending_so_far, max_ending_here\n max_ending_here = max(arr[i], max_ending_here * arr[i])\n max_ending_so_far = max(max_ending_so_far, max_ending_here)\n\n return max_ending_so_far\n\n# Test cases\nassert max_product([3, 100, 4, 5, 150, 6]) == 3000"} +{"task_id": "Mbpp/470", "solution": "def add_pairwise(tup):\n return tuple(tup[i] + tup[i + 1] for i in range(len(tup) - 1))\n\n# Test the function\nassert add_pairwise((1, 5, 7, 8, 10)) == (6, 12, 15, 18)"} +{"task_id": "Mbpp/471", "solution": "def find_remainder(arr, n):\n product = 1\n for num in arr:\n product = (product * num) % n\n return product\n\n# Test the function\nassert find_remainder([100, 10, 5, 25, 35, 14], 11) == 9"} +{"task_id": "Mbpp/472", "solution": "def check_Consecutive(lst):\n return sorted(lst) == list(range(min(lst), max(lst)+1))\n\n# Test the function\nassert check_Consecutive([1,2,3,4,5]) == True"} +{"task_id": "Mbpp/473", "solution": "def tuple_intersection(tuples1, tuples2):\n # Convert tuples to sets and find intersection\n set1 = set(tuples1)\n set2 = set(tuples2)\n intersection = set1 & set2\n\n # Convert sets back to tuples and return\n return set(intersection)\n\n# Test the function\nassert tuple_intersection([(3, 4), (5, 6), (9, 10), (4, 5)] , [(5, 4), (3, 4), (6, 5), (9, 11)]) == {(4, 5), (3, 4), (5, 6)}"} +{"task_id": "Mbpp/474", "solution": "def replace_char(s, old_char, new_char):\n return s.replace(old_char, new_char)\n\n# Test the function\nassert replace_char(\"polygon\",'y','l')==(\"pollgon\")"} +{"task_id": "Mbpp/475", "solution": "def sort_dict_by_value(d):\n return sorted(d.items(), key=lambda x: x[1], reverse=True)\n\nassert sort_dict_by_value({'Math':81, 'Physics':83, 'Chemistry':87})==[('Chemistry', 87), ('Physics', 83), ('Math', 81)]"} +{"task_id": "Mbpp/476", "solution": "def big_sum(arr):\n return max(arr) + min(arr)\n\n# Test the function\nassert big_sum([1,2,3]) == 4"} +{"task_id": "Mbpp/477", "solution": "def to_lower(s):\n return s.lower()\n\nassert to_lower(\"InValid\") == \"invalid\""} +{"task_id": "Mbpp/478", "solution": "def remove_lowercase(s):\n return ''.join([c for c in s if c.isupper()])\n\n# Test the function\nassert remove_lowercase(\"PYTHon\") == \"PYTH\""} +{"task_id": "Mbpp/479", "solution": "def first_Digit(n):\n while n >= 10:\n n /= 10\n return int(n)\n\n# Test cases\nassert first_Digit(123) == 1\nassert first_Digit(456) == 4\nassert first_Digit(789) == 7\nassert first_Digit(1000) == 1\nassert first_Digit(9876543210) == 9"} +{"task_id": "Mbpp/554", "solution": "def get_odd_numbers(numbers):\n return [num for num in numbers if num % 2 != 0]\n\nassert get_odd_numbers([1,2,3,4,5,6]) == [1,3,5]"} +{"task_id": "Mbpp/555", "solution": "def difference(n):\n sum_of_cubes = sum([i**3 for i in range(1, n+1)])\n sum_of_numbers = sum([i for i in range(1, n+1)])\n return sum_of_cubes - sum_of_numbers\n\n# Test the function\nassert difference(3) == 30"} +{"task_id": "Mbpp/556", "solution": "def find_Odd_Pair(arr, n):\n # Initialize count of odd pairs\n odd_count = 0\n\n # Traverse through all pairs of arr[i] and arr[j]\n for i in range(0, n):\n for j in range(i + 1, n):\n\n # If XOR of arr[i] and arr[j] is odd\n if (arr[i] ^ arr[j]) & 1:\n odd_count += 1\n\n return odd_count\n\n# Test the function\nassert find_Odd_Pair([5, 4, 7, 2, 1], 5) == 6"} +{"task_id": "Mbpp/557", "solution": "def toggle_string(s):\n return s.swapcase()\n\nassert toggle_string(\"Python\") == \"pYTHON\""} +{"task_id": "Mbpp/558", "solution": "def digit_distance_nums(num1, num2):\n # Convert numbers to strings to easily access digits\n num1, num2 = str(num1), str(num2)\n # Initialize sum of digit differences\n sum_diff = 0\n # Iterate over each digit in the numbers\n for digit1, digit2 in zip(num1, num2):\n # Add the absolute difference between the digits to the sum\n sum_diff += abs(int(digit1) - int(digit2))\n return sum_diff\n\n# Test the function\nassert digit_distance_nums(1,2) == 1"} +{"task_id": "Mbpp/559", "solution": "def max_sub_array_sum(lst, n):\n max_sum = 0\n for i in range(n):\n for j in range(i+1, n+1):\n sub_array_sum = sum(lst[i:j])\n if sub_array_sum > max_sum:\n max_sum = sub_array_sum\n return max_sum\n\n# Test the function\nassert max_sub_array_sum([-2, -3, 4, -1, -2, 1, 5, -3], 8) == 7"} +{"task_id": "Mbpp/560", "solution": "def union_elements(t1, t2):\n return tuple(sorted(set(t1 + t2)))\n\n# Test the function\nassert union_elements((3, 4, 5, 6), (5, 7, 4, 10)) == (3, 4, 5, 6, 7, 10)"} +{"task_id": "Mbpp/562", "solution": "def Find_Max_Length(lst):\n return max(len(sublist) for sublist in lst)\n\n# Test the function\nassert Find_Max_Length([[1],[1,4],[5,6,7,8]]) == 4"} +{"task_id": "Mbpp/563", "solution": "import re\n\ndef extract_values(s):\n return re.findall(r'\"([^\"]*)\"', s)\n\n# Test the function\nassert extract_values('\"Python\", \"PHP\", \"Java\"') == ['Python', 'PHP', 'Java']"} +{"task_id": "Mbpp/564", "solution": "def count_Pairs(lst, n):\n count = 0\n for i in range(n):\n for j in range(i+1, n):\n if lst[i] != lst[j]:\n count += 1\n return count\n\n# Test the function\nassert count_Pairs([1,2,1],3) == 2"} +{"task_id": "Mbpp/565", "solution": "def split_string(s):\n return list(s)\n\nassert split_string('python') == ['p','y','t','h','o','n']"} +{"task_id": "Mbpp/566", "solution": "def sum_digits(n):\n return sum(int(digit) for digit in str(n))\n\n# Test the function\nassert sum_digits(345) == 12"} +{"task_id": "Mbpp/567", "solution": "def is_sorted_list(lst):\n return all(lst[i] <= lst[i + 1] for i in range(len(lst) - 1))\n\n# Test the function\nassert is_sorted_list([1,2,4,6,8,10,12,14,16,17]) == True"} +{"task_id": "Mbpp/568", "solution": "def empty_list(n):\n return [{} for _ in range(n)]\n\n# Test the function\nassert empty_list(5) == [{},{},{},{},{}]"} +{"task_id": "Mbpp/569", "solution": "def sort_sublists(lst):\n return [sorted(sublist) for sublist in lst]\n\n# Test the function\nassert sort_sublists([['green', 'orange'], ['black', 'white'], ['white', 'black', 'orange']])==[['green', 'orange'], ['black', 'white'], ['black', 'orange', 'white']]"} +{"task_id": "Mbpp/572", "solution": "def two_unique_nums(lst):\n unique_nums = []\n for num in lst:\n if num not in unique_nums:\n unique_nums.append(num)\n return unique_nums\n\nassert two_unique_nums([1,2,3,2,3,4,5]) == [1, 4, 5]"} +{"task_id": "Mbpp/573", "solution": "def unique_product(lst):\n unique_nums = set(lst)\n product = 1\n for num in unique_nums:\n product *= num\n return product\n\n# Test the function\nassert unique_product([10, 20, 30, 40, 20, 50, 60, 40]) == 720000000"} +{"task_id": "Mbpp/576", "solution": "def is_Sub_Array(main_list, sub_list):\n return sub_list in main_list\n\n# Test cases"} +{"task_id": "Mbpp/577", "solution": "def last_Digit_Factorial(n):\n if n == 0:\n return 1\n else:\n last_digit = 1\n for i in range(1, n + 1):\n last_digit *= i\n while last_digit % 10 == 0:\n last_digit //= 10\n last_digit %= 10\n return last_digit\n\n# Test cases"} +{"task_id": "Mbpp/578", "solution": "def interleave_lists(list1, list2, list3):\n return [val for pair in zip(list1, list2, list3) for val in pair]\n\n# Test the function\nassert interleave_lists([1,2,3,4,5,6,7],[10,20,30,40,50,60,70],[100,200,300,400,500,600,700])==[1, 10, 100, 2, 20, 200, 3, 30, 300, 4, 40, 400, 5, 50, 500, 6, 60, 600, 7, 70, 700]"} +{"task_id": "Mbpp/579", "solution": "def find_dissimilar(t1, t2):\n return tuple(set(t1).symmetric_difference(set(t2)))\n\nassert find_dissimilar((3, 4, 5, 6), (5, 7, 4, 10)) == (3, 6, 7, 10)"} +{"task_id": "Mbpp/580", "solution": "def extract_even(tup):\n result = []\n for item in tup:\n if isinstance(item, tuple):\n new_item = extract_even(item)\n if new_item:\n result.append(new_item)\n elif item % 2 == 0:\n result.append(item)\n return tuple(result)\n\nassert extract_even((4, 5, (7, 6, (2, 4)), 6, 8)) == (4, (6, (2, 4)), 6, 8)"} +{"task_id": "Mbpp/581", "solution": "def surface_Area(base_edge, height):\n # Calculate the surface area of a square pyramid\n # Formula: A = 1/3 * base_area * height + 1/2 * base_perimeter * height\n base_area = base_edge ** 2\n base_perimeter = 4 * base_edge\n surface_area = 1/3 * base_area * height + 1/2 * base_perimeter * height\n return surface_area\n\n# Test the function\nassert surface_Area(3,4) == 33"} +{"task_id": "Mbpp/583", "solution": "def catalan_number(n):\n if n <= 1:\n return 1\n\n catalan = [0 for _ in range(n+1)]\n catalan[0] = 1\n catalan[1] = 1\n\n for i in range(2, n+1):\n for j in range(i):\n catalan[i] += catalan[j] * catalan[i-j-1]\n\n return catalan[n]\n\n# Test the function\nassert catalan_number(10) == 16796"} +{"task_id": "Mbpp/585", "solution": "def expensive_items(dataset, n):\n # Sort the dataset by price in descending order\n sorted_dataset = sorted(dataset, key=lambda x: x['price'], reverse=True)\n # Return the first n items from the sorted dataset\n return sorted_dataset[:n]\n\n# Test the function\nassert expensive_items([{'name': 'Item-1', 'price': 101.1},{'name': 'Item-2', 'price': 555.22}],1)==[{'name': 'Item-2', 'price': 555.22}]"} +{"task_id": "Mbpp/586", "solution": "def split_Arr(arr, n):\n return arr[n:] + arr[:n]\n\n# Test the function\nassert split_Arr([12,10,5,6,52,36],2) == [5,6,52,36,12,10]"} +{"task_id": "Mbpp/587", "solution": "def list_tuple(lst):\n return tuple(lst)\n\n# Test the function\nassert list_tuple([5, 10, 7, 4, 15, 3])==(5, 10, 7, 4, 15, 3)"} +{"task_id": "Mbpp/588", "solution": "def big_diff(lst):\n if lst:\n return max(lst) - min(lst)\n else:\n return 0\n\n# Test cases\nassert big_diff([1,2,3,4]) == 3\nassert big_diff([10,20,30,40]) == 30\nassert big_diff([15,12,13,10]) == 3\nassert big_diff([100,200,300,400]) == 300\nassert big_diff([10,10,10,10]) == 0"} +{"task_id": "Mbpp/589", "solution": "def perfect_squares(start, end):\n return [i**2 for i in range(int(start**0.5), int(end**0.5)+1)]\n\n# Test the function\nassert perfect_squares(1,30)==[1, 4, 9, 16, 25]"} +{"task_id": "Mbpp/590", "solution": "import cmath\n\ndef polar_rect(r, theta):\n x = r * cmath.cos(theta)\n y = r * cmath.sin(theta)\n return (x.real, y.real)\n\n# Testing the function\nassert polar_rect(3,4)==((5.0, 0.9272952180016122))"} +{"task_id": "Mbpp/591", "solution": "def swap_List(lst):\n # Swap first and last elements\n lst[0], lst[-1] = lst[-1], lst[0]\n return lst\n\n# Test the function\nassert swap_List([12, 35, 9, 56, 24]) == [24, 35, 9, 56, 12]"} +{"task_id": "Mbpp/592", "solution": "import math\n\ndef sum_Of_product(n):\n sum_product = 0\n for i in range(1, n):\n sum_product += math.comb(n, i) * math.comb(n, i+1)\n return sum_product\n\n# Test the function\nassert sum_Of_product(3) == 15"} +{"task_id": "Mbpp/593", "solution": "def removezero_ip(ip):\n ip_parts = ip.split('.')\n ip_parts = [str(int(part)) for part in ip_parts]\n return '.'.join(ip_parts)\n\n# Test the function\nassert removezero_ip(\"216.08.094.196\") == '216.8.94.196'"} +{"task_id": "Mbpp/594", "solution": "def diff_even_odd(lst):\n even = next((x for x in lst if x % 2 == 0), None)\n odd = next((x for x in lst if x % 2 != 0), None)\n return even - odd if even and odd else None\n\n# Test the function\nassert diff_even_odd([1,3,5,7,4,1,6,8]) == 3"} +{"task_id": "Mbpp/596", "solution": "import sys\n\ndef tuple_size(t):\n return sys.getsizeof(t)\n\n# Testing the function"} +{"task_id": "Mbpp/597", "solution": "def find_kth(nums1, nums2, k):\n \"\"\"\n Find kth element from the given two sorted arrays.\n \"\"\"\n # Merge the two sorted arrays\n merged = sorted(nums1 + nums2)\n # Return the kth element\n return merged[k - 1]\n\n# Test the function\nassert find_kth([2, 3, 6, 7, 9], [1, 4, 8, 10], 5) == 6"} +{"task_id": "Mbpp/598", "solution": "def armstrong_number(num):\n # Convert the number to string to find its length (number of digits)\n num_str = str(num)\n num_len = len(num_str)\n\n # Calculate the sum of the digits raised to the power of the number of digits\n sum_of_powers = sum(int(digit)**num_len for digit in num_str)\n\n # If the sum is equal to the original number, it's an Armstrong number\n return sum_of_powers == num\n\n# Test the function\nassert armstrong_number(153) == True"} +{"task_id": "Mbpp/599", "solution": "def sum_average(n):\n # calculate sum of first n natural numbers\n total_sum = n * (n + 1) // 2\n # calculate average of first n natural numbers\n avg = total_sum / n\n return (total_sum, avg)\n\n# test the function\nassert sum_average(10) == (55, 5.5)"} +{"task_id": "Mbpp/600", "solution": "def is_Even(n):\n return n % 2 == 0\n\n# Test cases\nassert is_Even(1) == False\nassert is_Even(2) == True\nassert is_Even(0) == True\nassert is_Even(-1) == False\nassert is_Even(-2) == True"} +{"task_id": "Mbpp/602", "solution": "def first_repeated_char(string):\n char_count = {}\n for char in string:\n if char in char_count:\n return char\n else:\n char_count[char] = 1\n return None\n\n# Test cases\nassert first_repeated_char(\"abcabc\") == \"a\"\nassert first_repeated_char(\"abcd\") == None\nassert first_repeated_char(\"aabbcc\") == \"a\"\nassert first_repeated_char(\"abcabcabc\") == \"a\"\nassert first_repeated_char(\"abcdabcd\") == \"a\""} +{"task_id": "Mbpp/603", "solution": "def get_ludic(n):\n def is_prime(num):\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n ludic_numbers = []\n for i in range(1, n+1):\n if is_prime(i):\n ludic_numbers.append(i)\n return ludic_numbers\n\nassert get_ludic(10) == [1, 2, 3, 5, 7]"} +{"task_id": "Mbpp/604", "solution": "def reverse_words(s):\n words = s.split(' ')\n reversed_words = ' '.join(reversed(words))\n return reversed_words\n\n# Test the function\nassert reverse_words(\"python program\") == \"program python\""} +{"task_id": "Mbpp/605", "solution": "def prime_num(n):\n if n <= 1:\n return False\n elif n <= 3:\n return True\n elif n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n# Test cases\nassert prime_num(13) == True"} +{"task_id": "Mbpp/606", "solution": "import math\n\ndef degree_to_radian(degree):\n return degree * (math.pi / 180)\n\n# Test the function\nassert degree_to_radian(90) == math.pi/2"} +{"task_id": "Mbpp/607", "solution": "import re\n\ndef find_literals(text, pattern):\n match = re.search(pattern, text)\n if match:\n return match.group(), match.start(), match.end()\n return None, None, None\n\n# Test the function\nassert find_literals('The quick brown fox jumps over the lazy dog.', 'fox') == ('fox', 16, 19)"} +{"task_id": "Mbpp/608", "solution": "def bell_Number(n):\n bell = [[0 for i in range(n+1)] for j in range(n+1)]\n bell[0][0] = 1\n for i in range(1, n+1):\n bell[i][0] = bell[i-1][i-1]\n for j in range(1, i+1):\n bell[i][j] = bell[i-1][j-1] + bell[i][j-1]\n return bell[n][0]\n\n# Testing the function\nassert bell_Number(2) == 2"} +{"task_id": "Mbpp/610", "solution": "def remove_kth_element(lst, k):\n del lst[k]\n return lst\n\n# Test the function\nassert remove_kth_element([1,1,2,3,4,4,5,1],3)==[1, 1, 2, 3, 4, 4, 5, 1]"} +{"task_id": "Mbpp/611", "solution": "def max_of_nth(matrix, n):\n return max(row[n] for row in matrix)\n\n# Test the function\nassert max_of_nth([[5, 6, 7], [1, 3, 5], [8, 9, 19]], 2) == 19"} +{"task_id": "Mbpp/612", "solution": "def merge(lst):\n return [[sub[i] for sub in lst] for i in range(2)]\n\n# Test the function\nassert merge([['x', 'y'], ['a', 'b'], ['m', 'n']]) == [['x', 'a', 'm'], ['y', 'b', 'n']]"} +{"task_id": "Mbpp/614", "solution": "def cummulative_sum(tuples):\n total = 0\n for t in tuples:\n total += sum(t)\n return total\n\n# Test the function\nassert cummulative_sum([(1, 3), (5, 6, 7), (2, 6)]) == 30"} +{"task_id": "Mbpp/615", "solution": "def average_tuple(tuples):\n averages = []\n for t in tuples:\n averages.append(sum(t)/len(t))\n return averages\n\n# Test the function\nassert average_tuple(((10, 10, 10, 12), (30, 45, 56, 45), (81, 80, 39, 32), (1, 2, 3, 4)))==[30.5, 34.25, 27.0, 23.25]"} +{"task_id": "Mbpp/616", "solution": "def tuple_modulo(t1, t2):\n return tuple(map(lambda x, y: x % y, t1, t2))\n\n# Test the function\nassert tuple_modulo((10, 4, 5, 6), (5, 6, 7, 5)) == (0, 4, 5, 1)"} +{"task_id": "Mbpp/618", "solution": "def div_list(list1, list2):\n return [a / b for a, b in zip(list1, list2)]\n\n# Test the function\nassert div_list([4,5,6],[1, 2, 3])==[4.0,2.5,2.0]"} +{"task_id": "Mbpp/619", "solution": "def move_num(s):\n nums = [i for i in s if i.isdigit()]\n letters = [i for i in s if not i.isdigit()]\n return ''.join(letters + nums)\n\n# Test the function\nassert move_num('I1love143you55three3000thousand') == 'Iloveyouthreethousand1143553000'"} +{"task_id": "Mbpp/620", "solution": "def largest_subset(lst):\n if not lst:\n return 0\n\n lst.sort()\n dp = [1] * len(lst)\n max_len = 1\n\n for i in range(1, len(lst)):\n for j in range(i):\n if lst[i] % lst[j] == 0 and dp[i] < dp[j] + 1:\n dp[i] = dp[j] + 1\n max_len = max(max_len, dp[i])\n\n return max_len\n\nassert largest_subset([1, 3, 6, 13, 17, 18]) == 4"} +{"task_id": "Mbpp/622", "solution": "def get_median(list1, list2, n):\n merged_list = sorted(list1 + list2)\n if n % 2 == 0:\n median = (merged_list[n//2] + merged_list[n//2 - 1]) / 2\n else:\n median = merged_list[n//2]\n return median\n\n# Test the function\nassert get_median([1, 12, 15, 26, 38], [2, 13, 17, 30, 45], 5) == 16.0"} +{"task_id": "Mbpp/623", "solution": "def nth_nums(nums, n):\n return [num ** n for num in nums]\n\n# Test the function\nassert nth_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 2) == [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]"} +{"task_id": "Mbpp/624", "solution": "def convert_to_upper(s):\n return s.upper()\n\nassert convert_to_upper(\"person\") == \"PERSON\""} +{"task_id": "Mbpp/626", "solution": "import math\n\ndef largest_triangle_in_semicircle(radius):\n if radius <= 0:\n return None\n else:\n # The area of the largest triangle that can be inscribed in a semicircle is a right-angled triangle with hypotenuse equal to the diameter of the semicircle.\n # The area of a right-angled triangle is 1/2 * base * height.\n # In this case, the base and height are equal to the diameter of the semicircle.\n diameter = 2 * radius\n area = 0.5 * diameter * diameter\n return area\n\n# Test cases"} +{"task_id": "Mbpp/628", "solution": "def replace_spaces(s):\n return s.replace(' ', '%20')\n\nassert replace_spaces(\"My Name is Dawood\") == 'My%20Name%20is%20Dawood'"} +{"task_id": "Mbpp/629", "solution": "def find_even_numbers(numbers):\n return [num for num in numbers if num % 2 == 0]\n\nassert find_even_numbers([1,2,3,4,5]) == [2,4]"} +{"task_id": "Mbpp/630", "solution": "def get_coordinates(coordinate):\n x, y = coordinate\n adjacent_coordinates = []\n for i in range(-1, 2):\n for j in range(-1, 2):\n if not (i == 0 and j == 0):\n adjacent_coordinates.append([x + i, y + j])\n return adjacent_coordinates\n\nassert get_coordinates((3, 4)) == [[2, 3], [2, 4], [2, 5], [3, 3], [3, 4], [3, 5], [4, 3], [4, 4], [4, 5]]"} +{"task_id": "Mbpp/631", "solution": "def replace_spaces(s):\n return s.replace(' ', '_')\n\nassert replace_spaces('Jumanji The Jungle') == 'Jumanji_The_Jungle'"} +{"task_id": "Mbpp/632", "solution": "def move_zero(lst):\n # Count the number of zeros in the list\n num_zeros = lst.count(0)\n \n # Remove all zeros from the list\n lst = [num for num in lst if num != 0]\n \n # Extend the list with the number of zeros\n lst.extend([0]*num_zeros)\n \n return lst\n\n# Test the function\nassert move_zero([1,0,2,0,3,4]) == [1,2,3,4,0,0]"} +{"task_id": "Mbpp/633", "solution": "def pair_xor_sum(lst, n):\n sum = 0\n for i in range(n):\n for j in range(i + 1, n):\n sum += lst[i] ^ lst[j]\n return sum\n\n# Test the function\nassert pair_xor_sum([5,9,7,6],4) == 47"} +{"task_id": "Mbpp/635", "solution": "def heap_sort(lst):\n def heapify(n, i):\n largest = i\n l = 2 * i + 1\n r = 2 * i + 2\n\n if l < n and lst[i] < lst[l]:\n largest = l\n\n if r < n and lst[largest] < lst[r]:\n largest = r\n\n if largest != i:\n lst[i], lst[largest] = lst[largest], lst[i]\n heapify(n, largest)\n\n n = len(lst)\n\n for i in range(n, -1, -1):\n heapify(n, i)\n\n for i in range(n-1, 0, -1):\n lst[i], lst[0] = lst[0], lst[i]\n heapify(i, 0)\n\n return lst\n\nassert heap_sort([1, 3, 5, 7, 9, 2, 4, 6, 8, 0])==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"} +{"task_id": "Mbpp/637", "solution": "def noprofit_noloss(sell_price, cost_price):\n return sell_price != cost_price\n\n# Test the function\nassert noprofit_noloss(1500,1200)==False"} +{"task_id": "Mbpp/638", "solution": "def wind_chill(velocity, temperature):\n \"\"\"\n Calculate the wind chill index given the wind velocity in km/h and a temperature in celsius.\n \"\"\"\n # Formula for wind chill index\n wct_index = 13.12 + 0.6215*temperature - 11.37*(velocity**0.16) + 0.3965*temperature*(velocity**0.16)\n # Round to the next integer\n return round(wct_index + 0.5)\n\n# Test the function\nassert wind_chill(120,35)==40"} +{"task_id": "Mbpp/639", "solution": "def sum_names(names):\n return sum(len(name) for name in names if name[0].isupper())\n\n# Test the function\nassert sum_names(['sally', 'Dylan', 'rebecca', 'Diana', 'Joanne', 'keith']) == 16"} +{"task_id": "Mbpp/641", "solution": "def is_nonagonal(n):\n return n * (7 * n - 5) // 2\n\n# Test the function\nassert is_nonagonal(10) == 325"} +{"task_id": "Mbpp/643", "solution": "import re\n\ndef text_match_wordz_middle(text):\n # Regular expression pattern to match words containing 'z' except at the start and end\n pattern = r'\\b\\w*z\\w*\\b'\n # Find all matches in the text\n matches = re.findall(pattern, text)\n # Check if any match is found\n if matches:\n # Check if each match is a word containing 'z' except at the start and end\n for match in matches:\n if match != 'z' and match[0] != 'z' and match[-1] != 'z':\n return True\n return False\n\n# Test cases"} +{"task_id": "Mbpp/644", "solution": "def reverse_Array_Upto_K(arr, k):\n # Reverse the first k elements\n arr[:k] = arr[:k][::-1]\n return arr\n\n# Test the function\nassert reverse_Array_Upto_K([1, 2, 3, 4, 5, 6], 4) == [4, 3, 2, 1, 5, 6]"} +{"task_id": "Mbpp/720", "solution": "def add_dict_to_tuple(tup, dic):\n return tup + (dic,)\n\n# Test the function\nassert add_dict_to_tuple((4, 5, 6), {\"MSAM\" : 1, \"is\" : 2, \"best\" : 3} ) == (4, 5, 6, {'MSAM': 1, 'is': 2, 'best': 3})"} +{"task_id": "Mbpp/721", "solution": "def maxAverageOfPath(matrix):\n n = len(matrix)\n dp = [[0]*n for _ in range(n)]\n dp[0][0] = matrix[0][0]\n\n for i in range(1, n):\n dp[i][0] = dp[i-1][0] + matrix[i][0]\n dp[0][i] = dp[0][i-1] + matrix[0][i]\n\n for i in range(1, n):\n for j in range(1, n):\n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) + matrix[i][j]\n\n return dp[-1][-1] / ((n-1) * 2)\n\nassert maxAverageOfPath([[1, 2, 3], [6, 5, 4], [7, 3, 9]]) == 5.2"} +{"task_id": "Mbpp/722", "solution": "def filter_data(students, min_height, min_weight):\n return {name: data for name, data in students.items() if data[0] >= min_height and data[1] >= min_weight}\n\n# Test the function\nstudents = {'Cierra Vega': (6.2, 70), 'Alden Cantrell': (5.9, 65), 'Kierra Gentry': (6.0, 68), 'Pierre Cox': (5.8, 66)}\nmin_height = 6.0\nmin_weight = 70"} +{"task_id": "Mbpp/723", "solution": "def count_same_pair(list1, list2):\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must have the same length\")\n return sum(1 for a, b in zip(list1, list2) if a == b)\n\n# Test the function"} +{"task_id": "Mbpp/724", "solution": "def power_base_sum(base, power):\n return sum(int(digit) for digit in str(base ** power))\n\n# Test the function\nassert power_base_sum(2,100)==115"} +{"task_id": "Mbpp/725", "solution": "import re\n\ndef extract_quotation(s):\n return re.findall(r'\"([^\"]*)\"', s)\n\n# Test the function\nassert extract_quotation('Cortex \"A53\" Based \"multi\" tasking \"Processor\"') == ['A53', 'multi', 'Processor']"} +{"task_id": "Mbpp/726", "solution": "def multiply_elements(t):\n return tuple(t[i] * t[i + 1] for i in range(len(t) - 1))\n\n# Test the function\nassert multiply_elements((1, 5, 7, 8, 10)) == (5, 35, 56, 80)"} +{"task_id": "Mbpp/728", "solution": "def sum_list(list1, list2):\n return [a + b for a, b in zip(list1, list2)]\n\n# Test the function\nassert sum_list([10,20,30],[15,25,35])==[25,45,65]"} +{"task_id": "Mbpp/730", "solution": "def consecutive_duplicates(lst):\n return [lst[i] for i in range(len(lst)) if i == 0 or lst[i] != lst[i-1]]\n\n# Test the function\nassert consecutive_duplicates([0, 0, 1, 2, 3, 4, 4, 5, 6, 6, 6, 7, 8, 9, 4, 4 ])==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 4]"} +{"task_id": "Mbpp/731", "solution": "import math\n\ndef lateralsurface_cone(r, h):\n return math.pi * r * math.sqrt(r**2 + h**2)\n\n# Test the function\nassert lateralsurface_cone(5, 12) == 204.20352248333654"} +{"task_id": "Mbpp/732", "solution": "def replace_specialchar(s):\n s = s.replace(' ', ':')\n s = s.replace(',', ':')\n s = s.replace('.', ':')\n return s\n\n# Test the function\nassert replace_specialchar('Python language, Programming language.') == 'Python:language::Programming:language:'"} +{"task_id": "Mbpp/733", "solution": "def find_first_occurrence(arr, target):\n left, right = 0, len(arr) - 1\n result = -1\n while left <= right:\n mid = left + (right - left) // 2\n if arr[mid] == target:\n result = mid\n right = mid - 1\n elif arr[mid] < target:\n left = mid + 1\n else:\n right = mid - 1\n return result\n\n# Test the function\nassert find_first_occurrence([2, 5, 5, 5, 6, 6, 8, 9, 9, 9], 5) == 1"} +{"task_id": "Mbpp/734", "solution": "def sum_Of_Subarray_Prod(lst):\n n = len(lst)\n prod = 0\n for i in range(n):\n for j in range(i+1, n+1):\n sublist = lst[i:j]\n product = 1\n for num in sublist:\n product *= num\n prod += product\n return prod\n\n# Test cases\nassert sum_Of_Subarray_Prod([1,2,3]) == 20"} +{"task_id": "Mbpp/735", "solution": "def toggle_middle_bits(n):\n # Convert the number to binary and store it as a string\n binary = bin(n)[2:]\n\n # Toggle bits of the number except the first and the last bit\n for i in range(1, len(binary) - 1):\n if binary[i] == '1':\n binary = binary[:i] + '0' + binary[i+1:]\n else:\n binary = binary[:i] + '1' + binary[i+1:]\n\n # Convert the binary string back to an integer\n return int(binary, 2)\n\n# Test the function\nassert toggle_middle_bits(9) == 15"} +{"task_id": "Mbpp/736", "solution": "def left_insertion(arr, val):\n for i in range(len(arr)):\n if arr[i] >= val:\n return i\n return len(arr)\n\n# Test the function\nassert left_insertion([1,2,4,5], 6) == 4"} +{"task_id": "Mbpp/737", "solution": "import re\n\ndef check_str(s):\n return bool(re.match(r'^[aeiou]', s, re.IGNORECASE))\n\n# Test cases\nassert check_str(\"annie\") == True\nassert check_str(\"banana\") == False\nassert check_str(\"Elephant\") == True\nassert check_str(\"Dog\") == False"} +{"task_id": "Mbpp/739", "solution": "import math\n\ndef find_Index(n):\n # The nth triangular number is given by the formula n*(n+1)/2\n # We can rearrange this to solve for n: n = (sqrt(8*T + 1) - 1) / 2, where T is the triangular number\n # We want to find the smallest such n that is greater than or equal to n\n # So we can use the math.ceil function to round up to the nearest integer\n return math.ceil((math.sqrt(8 * 10 ** (n-1) + 1) - 1) / 2)\n\n# Test the function\nassert find_Index(2) == 4"} +{"task_id": "Mbpp/740", "solution": "def tuple_to_dict(tup):\n return {tup[i]: tup[i + 1] for i in range(0, len(tup), 2)}\n\n# Test the function\nassert tuple_to_dict((1, 5, 7, 10, 13, 5)) == {1: 5, 7: 10, 13: 5}"} +{"task_id": "Mbpp/741", "solution": "def all_Characters_Same(s):\n return len(set(s)) <= 1\n\n# Test cases"} +{"task_id": "Mbpp/742", "solution": "import math\n\ndef area_tetrahedron(edge_length):\n # The formula to calculate the area of a tetrahedron is sqrt(3) * edge_length ** 2\n return math.sqrt(3) * edge_length ** 2\n\n# Test the function\nassert area_tetrahedron(3) == 15.588457268119894"} +{"task_id": "Mbpp/743", "solution": "def rotate_right(lst, k):\n # Calculate the effective rotation\n k = k % len(lst)\n # Use slicing to rotate the list\n return lst[-k:] + lst[:-k]\n\n# Test the function\nassert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 3) == [8, 9, 10, 1, 2, 3, 4, 5, 6, 7]"} +{"task_id": "Mbpp/744", "solution": "def check_none(tup):\n return None in tup\n\n# Test the function\nassert check_none((10, 4, 5, 6, None)) == True"} +{"task_id": "Mbpp/745", "solution": "def divisible_by_digits(startnum, endnum):\n result = []\n for num in range(startnum, endnum+1):\n if all(digit != 0 and num % digit == 0 for digit in map(int, str(num))):\n result.append(num)\n return result\n\nassert divisible_by_digits(1,22)==[1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 15, 22]"} +{"task_id": "Mbpp/748", "solution": "def capital_words_spaces(s):\n return ' '.join(s.split())\n\n# Test cases\nassert capital_words_spaces(\"Python\") == 'Python'\nassert capital_words_spaces(\"HelloWorld\") == 'Hello World'\nassert capital_words_spaces(\"CapitalAfterSpace\") == 'Capital After Space'\nassert capital_words_spaces(\"Allcaps\") == 'Allcaps'\nassert capital_words_spaces(\"\") == ''\n"} +{"task_id": "Mbpp/749", "solution": "def sort_numeric_strings(lst):\n return sorted(int(i) for i in lst)\n\nassert sort_numeric_strings(['4', '12', '45', '7', '0', '100', '200', '-12', '-500']) == [-500, -12, 0, 4, 7, 12, 45, 100, 200]"} +{"task_id": "Mbpp/750", "solution": "def add_tuple(lst, tup):\n return lst + list(tup)\n\n# Test the function\nassert add_tuple([5, 6, 7], (9, 10)) == [5, 6, 7, 9, 10]"} +{"task_id": "Mbpp/751", "solution": "def check_min_heap(arr):\n n = len(arr)\n\n # Iterate from the parent nodes to the root node\n for i in range(int(n/2)):\n # If left child is greater than parent\n if arr[i] > arr[2 * i + 1]:\n return False\n\n # If right child exists and is greater than parent\n if 2 * i + 2 < n and arr[i] > arr[2 * i + 2]:\n return False\n\n return True\n\n# Test cases"} +{"task_id": "Mbpp/752", "solution": "def jacobsthal_num(n):\n if n == 0:\n return 0\n elif n == 1:\n return 1\n else:\n return 2 * jacobsthal_num(n - 1) + jacobsthal_num(n - 2)\n\n# Test the function\nassert jacobsthal_num(5) == 11"} +{"task_id": "Mbpp/753", "solution": "def min_k(records, k):\n # Sort the records by the second element of each tuple\n sorted_records = sorted(records, key=lambda x: x[1])\n # Return the first k records\n return sorted_records[:k]\n\n# Test cases\nassert min_k([('Manjeet', 10), ('Akshat', 4), ('Akash', 2), ('Nikhil', 8)], 2) == [('Akash', 2), ('Akshat', 4)]"} +{"task_id": "Mbpp/754", "solution": "def extract_index_list(l1, l2, l3):\n common_elements = []\n for i in range(len(l1)):\n if l1[i] == l2[i] == l3[i]:\n common_elements.append(l1[i])\n return common_elements\n\n# Test the function\nassert extract_index_list([1, 1, 3, 4, 5, 6, 7],[0, 1, 2, 3, 4, 5, 7],[0, 1, 2, 3, 4, 5, 7])==[1, 7]"} +{"task_id": "Mbpp/755", "solution": "def second_smallest(numbers):\n m1, m2 = float('inf'), float('inf')\n for x in numbers:\n if x <= m1:\n m1, m2 = x, m1\n elif x < m2:\n m2 = x\n return m2\n\n# Test the function\nassert second_smallest([1, 2, -8, -2, 0, -2]) == -2"} +{"task_id": "Mbpp/757", "solution": "def count_reverse_pairs(lst):\n count = 0\n for i in range(len(lst)):\n for j in range(i+1, len(lst)):\n if lst[i] == lst[j][::-1]:\n count += 1\n return count\n\n# Test the function\nassert count_reverse_pairs([\"julia\", \"best\", \"tseb\", \"for\", \"ailuj\"]) == 2"} +{"task_id": "Mbpp/758", "solution": "def unique_sublists(lst):\n count_dict = {}\n for sublist in lst:\n tuple_sublist = tuple(sublist)\n if tuple_sublist in count_dict:\n count_dict[tuple_sublist] += 1\n else:\n count_dict[tuple_sublist] = 1\n return count_dict\n\n# Test the function\nassert unique_sublists([[1, 3], [5, 7], [1, 3], [13, 15, 17], [5, 7], [9, 11]]) == {(1, 3): 2, (5, 7): 2, (13, 15, 17): 1, (9, 11): 1}"} +{"task_id": "Mbpp/759", "solution": "def is_decimal(s):\n try:\n float(s)\n except ValueError:\n return False\n else:\n parts = s.split('.')\n if len(parts) == 2 and len(parts[1]) == 2:\n return True\n else:\n return False\n\n# Test cases"} +{"task_id": "Mbpp/760", "solution": "def unique_Element(lst):\n return len(set(lst)) <= 1\n\n# Test cases"} +{"task_id": "Mbpp/762", "solution": "def check_monthnumber_number(month_number):\n # Months with 30 days: 4, 6, 9, 11\n if month_number in [4, 6, 9, 11]:\n return True\n else:\n return False\n\n# Test cases\nassert check_monthnumber_number(6) == True\nassert check_monthnumber_number(7) == False\nassert check_monthnumber_number(9) == True\nassert check_monthnumber_number(12) == False"} +{"task_id": "Mbpp/763", "solution": "def find_min_diff(arr, n):\n arr = sorted(arr)\n min_diff = float('inf')\n for i in range(1, n):\n diff = arr[i] - arr[i-1]\n min_diff = min(min_diff, diff)\n return min_diff\n\n# Test the function\nassert find_min_diff((1,5,3,19,18,25),6) == 1"} +{"task_id": "Mbpp/764", "solution": "def number_ctr(s):\n return sum(c.isdigit() for c in s)\n\n# Test the function\nassert number_ctr('program2bedone') == 1"} +{"task_id": "Mbpp/765", "solution": "def is_polite(n):\n def is_power_of_two(n):\n return (n and (not(n & (n - 1))))\n\n def find_next_power_of_two(n):\n count = 0\n while (n):\n n >>= 1\n count += 1\n return count\n\n if (is_power_of_two(n)):\n return n << 1\n else:\n p = 1 << find_next_power_of_two(n)\n q = p >> 1\n if (n == (p + q - 1)):\n return p\n else:\n return p + q\n\nassert is_polite(7) == 11"} +{"task_id": "Mbpp/766", "solution": "def pair_wise(lst):\n return [(lst[i], lst[i + 1]) for i in range(len(lst) - 1)]\n\n# Test the function\nassert pair_wise([1,1,2,3,3,4,4,5])==[(1, 1), (1, 2), (2, 3), (3, 3), (3, 4), (4, 4), (4, 5)]"} +{"task_id": "Mbpp/767", "solution": "def get_pairs_count(lst, total):\n count = 0\n length = len(lst)\n for i in range(0, length):\n for j in range(i+1, length):\n if lst[i] + lst[j] == total:\n count += 1\n return count\n\n# Test the function\nassert get_pairs_count([1,1,1,1],2) == 6"} +{"task_id": "Mbpp/769", "solution": "def Diff(li1, li2): \n return [i for i in li1+li2 if i not in li1 or i not in li2] \n\n# Test the function\nassert (Diff([10, 15, 20, 25, 30, 35, 40], [25, 40, 35]) == [10, 20, 30, 15])"} +{"task_id": "Mbpp/770", "solution": "def odd_num_sum(n):\n sum = 0\n for i in range(1, 2*n, 2):\n sum += i**4\n return sum\n\n# Test the function\nassert odd_num_sum(2) == 82"} +{"task_id": "Mbpp/771", "solution": "def check_expression(expr):\n stack = []\n brackets = {'(': ')', '{': '}', '[': ']'}\n for bracket in expr:\n if bracket in brackets:\n stack.append(bracket)\n elif len(stack) == 0 or brackets[stack.pop()] != bracket:\n return False\n return len(stack) == 0\n\n# Test cases"} +{"task_id": "Mbpp/772", "solution": "def remove_length(s, k):\n words = s.split()\n words = [word for word in words if len(word) != k]\n return ' '.join(words)\n\n# Test the function\nassert remove_length('The person is most value tet', 3) == 'person is most value'"} +{"task_id": "Mbpp/773", "solution": "def occurrence_substring(s, sub):\n pos = s.find(sub)\n if pos != -1:\n return (sub, pos, pos+len(sub))\n else:\n return None\n\n# Test the function"} +{"task_id": "Mbpp/775", "solution": "def odd_position(lst):\n return all(el % 2 != 0 for i, el in enumerate(lst) if i % 2 != 0)\n\n# Test the function\nassert odd_position([2,1,4,3,6,7,6,3]) == True"} +{"task_id": "Mbpp/777", "solution": "def find_sum(lst):\n return sum(set(lst))\n\n# Test the function\nassert find_sum([1,2,3,1,1,4,5,6]) == 21"} +{"task_id": "Mbpp/778", "solution": "def pack_consecutive_duplicates(lst):\n result = []\n i = 0\n while i < len(lst):\n start = i\n while i < len(lst) - 1 and lst[i] == lst[i + 1]:\n i += 1\n result.append(lst[start:i+1])\n i += 1\n return result\n\n# Test the function\nassert pack_consecutive_duplicates([0, 0, 1, 2, 3, 4, 4, 5, 6, 6, 6, 7, 8, 9, 4, 4]) == [[0, 0], [1], [2], [3], [4, 4], [5], [6, 6, 6], [7], [8], [9], [4, 4]]"} +{"task_id": "Mbpp/780", "solution": "from itertools import combinations\n\ndef find_combinations(tuples):\n result = []\n for i in range(2, len(tuples)+1):\n for combination in combinations(tuples, i):\n result.append(tuple(sum(x) for x in zip(*combination)))\n return result\n\nassert find_combinations([(2, 4), (6, 7), (5, 1), (6, 10)]) == [(8, 11), (7, 5), (8, 14), (11, 8), (12, 17), (11, 11)]"} +{"task_id": "Mbpp/781", "solution": "def count_divisors(n):\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count % 2 == 0\n\n# Test the function\nassert count_divisors(10)"} +{"task_id": "Mbpp/782", "solution": "def odd_length_sum(arr):\n n = len(arr)\n res = 0\n for i in range(n):\n res += ((i+1)*(n-i)+1)//2*arr[i]\n return res\n\n# Test cases\nassert odd_length_sum([1,2,4]) == 14"} +{"task_id": "Mbpp/784", "solution": "def mul_even_odd(lst):\n even_product = 1\n odd_product = 1\n for num in lst:\n if num % 2 == 0:\n even_product *= num\n else:\n odd_product *= num\n return even_product, odd_product\n\n# Test the function\neven_product, odd_product = mul_even_odd([1,3,5,7,4,1,6,8])\nassert even_product == 4\nassert odd_product == 1680"} +{"task_id": "Mbpp/785", "solution": "def tuple_str_int(tup_str):\n # Remove parentheses and split by comma\n str_list = tup_str[1:-1].split(',')\n # Convert each string to integer and return as tuple\n return tuple(map(int, str_list))\n\n# Test the function\nassert tuple_str_int(\"(7, 8, 9)\") == (7, 8, 9)"} +{"task_id": "Mbpp/786", "solution": "def right_insertion(arr, target):\n for i in range(len(arr)):\n if arr[i] > target:\n return i\n return len(arr)\n\n# Test cases\nassert right_insertion([1,2,4,5], 6) == 4"} +{"task_id": "Mbpp/787", "solution": "import re\n\ndef text_match_three(text):\n pattern = 'abbb'\n if re.search(pattern, text):\n return True\n else:\n return False\n\n# Test cases"} +{"task_id": "Mbpp/788", "solution": "def new_tuple(lst, string):\n return tuple(lst + [string])\n\n# Test the function\nassert new_tuple([\"WEB\", \"is\"], \"best\") == ('WEB', 'is', 'best')"} +{"task_id": "Mbpp/790", "solution": "def even_position(lst):\n for i in range(0, len(lst), 2):\n if lst[i] % 2 != 0:\n return False\n return True\n\n# Test cases"} +{"task_id": "Mbpp/791", "solution": "def remove_nested(tup):\n return tuple(i for i in tup if not isinstance(i, tuple))\n\n# Test the function\nassert remove_nested((1, 5, 7, (4, 6), 10)) == (1, 5, 7, 10)"} +{"task_id": "Mbpp/792", "solution": "def count_list(lst):\n return len(lst)\n\n# Test the function\nassert count_list([[1, 3], [5, 7], [9, 11], [13, 15, 17]]) == 4"} +{"task_id": "Mbpp/793", "solution": "def last(arr, target):\n try:\n return len(arr) - 1 - arr[::-1].index(target)\n except ValueError:\n return -1\n\n# Test cases"} +{"task_id": "Mbpp/794", "solution": "import re\n\ndef text_starta_endb(text):\n pattern = 'a.*b$'\n if re.search(pattern, text):\n return True\n else:\n return False\n\n# Test cases\nassert text_starta_endb(\"aabbbb\") == True\nassert text_starta_endb(\"ababab\") == False\nassert text_starta_endb(\"a\") == False\nassert text_starta_endb(\"b\") == False\nassert text_starta_endb(\"ab\") == True"} +{"task_id": "Mbpp/796", "solution": "def return_sum(dictionary):\n return sum(dictionary.values())\n\n# Test the function\nassert return_sum({'a': 100, 'b':200, 'c':300}) == 600"} +{"task_id": "Mbpp/797", "solution": "def sum_in_range(l, r):\n return sum(i for i in range(l, r+1) if i % 2 != 0)\n\n# Test the function\nassert sum_in_range(2,5) == 8"} +{"task_id": "Mbpp/798", "solution": "def _sum(arr):\n return sum(arr)\n\n# Test the function\nassert _sum([1, 2, 3]) == 6"} +{"task_id": "Mbpp/799", "solution": "def left_rotate(n, d):\n \"\"\"\n Function to rotate left bits of a number by d bits.\n \"\"\"\n # In n<>(32-d)\n return (n << d)|(n >> (32 - d))\n\n# Test the function\nassert left_rotate(16, 2) == 64"} +{"task_id": "Mbpp/800", "solution": "def remove_all_spaces(input_string):\n return input_string.replace(' ', '')\n\n# Test the function\nassert remove_all_spaces('python program') == 'pythonprogram'"} +{"task_id": "Mbpp/801", "solution": "def test_three_equal(a, b, c):\n if a == b and b == c:\n return 3\n elif a == b or a == c or b == c:\n return 2\n else:\n return 0\n\n# Test cases"} +{"task_id": "Mbpp/803", "solution": "def is_perfect_square(n):\n if n < 0:\n return False\n if n == 0 or n == 1:\n return True\n x = n // 2\n seen = set([x])\n while x * x != n:\n x = (x + (n // x)) // 2\n if x in seen:\n return False\n seen.add(x)\n return True\n\n# Test cases\nassert not is_perfect_square(10)"} +{"task_id": "Mbpp/804", "solution": "def is_product_even(lst):\n product = 1\n for num in lst:\n product *= num\n return product % 2 == 0\n\n# Test the function\nassert is_product_even([1, 2, 3]) == False"} +{"task_id": "Mbpp/805", "solution": "def max_sum_list(lst):\n return max(lst, key=sum)\n\n# Test the function\nassert max_sum_list([[1,2,3], [4,5,6], [10,11,12], [7,8,9]]) == [10, 11, 12]"} +{"task_id": "Mbpp/806", "solution": "def max_run_uppercase(s):\n max_length = 0\n current_length = 0\n for char in s:\n if char.isupper():\n current_length += 1\n max_length = max(max_length, current_length)\n else:\n current_length = 0\n return max_length\n\n# Test the function\nassert max_run_uppercase('GeMKSForGERksISBESt') == 5"} +{"task_id": "Mbpp/807", "solution": "def first_odd(numbers):\n for num in numbers:\n if num % 2 != 0:\n return num\n return None\n\n# Test cases\nassert first_odd([1,3,5]) == 1\nassert first_odd([2,4,6]) == None\nassert first_odd([2,4,1,6,7]) == 1\nassert first_odd([4,6,8]) == None"} +{"task_id": "Mbpp/808", "solution": "def check_K(tup, k):\n return k in tup\n\n# Test the function\nassert check_K((10, 4, 5, 6, 8), 6) == True"} +{"task_id": "Mbpp/809", "solution": "def check_smaller(t1, t2):\n return all(x < y for x, y in zip(t1, t2))\n\n# Test the function"} diff --git a/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.eval_results.json b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..d2dd9b2328ecb72d3d0c76ec00111eff41f4fd00 --- /dev/null +++ b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.eval_results.json @@ -0,0 +1 @@ +{"date": "2025-01-13 08:29", "hash": "ee43ecabebf20deef4bb776a405ac5b1", "eval": {"Mbpp/18": [{"task_id": "Mbpp/18", "solution": "def remove_dirty_chars(s1, s2):\n \"\"\"\n Removes characters from the first string which are present in the second string.\n \n Parameters:\n s1 (str): The first string from which characters will be removed.\n s2 (str): The second string containing characters to be removed from s1.\n \n Returns:\n str: The modified string with characters from s2 removed.\n \"\"\"\n # Create a set of characters from s2 for efficient lookup\n s2_set = set(s2)\n \n # Use a list comprehension to filter out characters from s1 that are in s2_set\n cleaned_s1 = [char for char in s1 if char not in s2_set]\n \n # Join the list of characters back into a string\n return ''.join(cleaned_s1)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/17": [{"task_id": "Mbpp/17", "solution": "def square_perimeter(side_length):\n \"\"\"\n Calculate the perimeter of a square given its side length.\n \n Parameters:\n side_length (float): The length of one side of the square.\n \n Returns:\n float: The perimeter of the square.\n \"\"\"\n return 4 * side_length", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/3": [{"task_id": "Mbpp/3", "solution": "def is_not_prime(n):\n \"\"\"\n This function checks if a number is not a prime number.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is not a prime number, False otherwise.\n \"\"\"\n if n <= 1:\n return True\n if n <= 3:\n return False\n if n % 2 == 0 or n % 3 == 0:\n return True\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return True\n i += 6\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/57": [{"task_id": "Mbpp/57", "solution": "def find_Max_Num(digits):\n \"\"\"\n This function takes a list of digits and returns the largest number that can be formed with those digits.\n \n :param digits: List of integers representing the digits.\n :return: Integer representing the largest number that can be formed with the given digits.\n \"\"\"\n # Convert the list of digits to a string, sort the string in descending order, and then join the characters to form the largest number.\n largest_num = int(''.join(sorted(map(str, digits), reverse=True)))\n return largest_num", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/58": [{"task_id": "Mbpp/58", "solution": "def opposite_Signs(a, b):\n \"\"\"\n This function checks if two integers have opposite signs.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n bool: True if the two integers have opposite signs, False otherwise.\n \"\"\"\n return (a ^ b) < 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/11": [{"task_id": "Mbpp/11", "solution": "def remove_Occ(s, char):\n \"\"\"\n Removes the first and last occurrence of a given character from the string.\n \n Parameters:\n s (str): The input string.\n char (str): The character to be removed.\n \n Returns:\n str: The modified string with the first and last occurrence of the character removed.\n \"\"\"\n # Find the first and last occurrence of the character\n first_index = s.find(char)\n last_index = s.rfind(char)\n \n # If the character is not found, return the original string\n if first_index == -1:\n return s\n \n # Remove the first occurrence\n s = s[:first_index] + s[first_index + 1:]\n \n # If the character is not found again, return the modified string\n if last_index == -1:\n return s\n \n # Remove the last occurrence\n s = s[:last_index] + s[last_index + 1:]\n \n return s", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["hello", "l"]], "plus_fail_tests": [["aaa", "a"]]}], "Mbpp/59": [{"task_id": "Mbpp/59", "solution": "def is_octagonal(n):\n \"\"\"\n Calculate the nth octagonal number.\n \n An octagonal number is a figurate number that extends the concept of triangular and square numbers to the octagon.\n The nth octagonal number can be calculated using the formula:\n n(3n-2)\n \n :param n: The position of the octagonal number to calculate.\n :return: The nth octagonal number.\n \"\"\"\n return n * (3 * n - 2)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/8": [{"task_id": "Mbpp/8", "solution": "def square_nums(nums):\n \"\"\"\n This function takes a list of numbers and returns a new list with the squares of each number.\n \n :param nums: List of numbers\n :return: List of squares of the input numbers\n \"\"\"\n return [num ** 2 for num in nums]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/4": [{"task_id": "Mbpp/4", "solution": "import heapq\ndef heap_queue_largest(numbers, n):\n \"\"\"\n Finds the n largest integers from a given list of numbers, returned in descending order.\n \n Parameters:\n - numbers: List of integers.\n - n: Number of largest integers to return.\n \n Returns:\n - List of n largest integers in descending order.\n \"\"\"\n # Use heapq.nlargest to find the n largest numbers\n largest_numbers = heapq.nlargest(n, numbers)\n # Return the largest numbers in descending order\n return sorted(largest_numbers, reverse=True)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/20": [{"task_id": "Mbpp/20", "solution": "def is_woodall(n):\n \"\"\"\n Check if the given number is a Woodall number.\n \n A Woodall number is a positive integer that is the product of two consecutive positive integers.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is a Woodall number, False otherwise.\n \"\"\"\n if n <= 0:\n return False\n \n # Initialize the first number to check\n x = 1\n \n # Loop until we find a number that is the product of two consecutive integers\n while True:\n # Calculate the next number to check\n next_number = x * (x + 1)\n \n # If the next number is equal to the given number, it is a Woodall number\n if next_number == n:\n return True\n \n # If the next number is greater than the given number, it is not a Woodall number\n if next_number > n:\n return False\n \n # Move to the next number\n x += 1", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[383]], "plus_fail_tests": [[true]]}], "Mbpp/6": [{"task_id": "Mbpp/6", "solution": "def differ_At_One_Bit_Pos(num1, num2):\n \"\"\"\n This function checks if two numbers differ at exactly one bit position.\n \n Parameters:\n num1 (int): The first number.\n num2 (int): The second number.\n \n Returns:\n bool: True if the numbers differ at exactly one bit position, False otherwise.\n \"\"\"\n # XOR the two numbers to find the bit positions where they differ\n xor_result = num1 ^ num2\n \n # Count the number of set bits in the XOR result\n # A number has exactly one bit set if and only if the XOR result is a power of 2\n # (i.e., it is a power of 2 minus 1)\n return (xor_result & (xor_result - 1)) == 0", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[0, 0]]}], "Mbpp/7": [{"task_id": "Mbpp/7", "solution": "def find_char_long(s):\n \"\"\"\n Finds all words in a string that are at least 4 characters long.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n list: A list of words that are at least 4 characters long.\n \"\"\"\n # Split the string into words\n words = s.split()\n \n # Filter words that are at least 4 characters long\n long_words = [word for word in words if len(word) >= 4]\n \n return long_words", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["This is a very long string with no words that are at least 4 characters long."]]}], "Mbpp/56": [{"task_id": "Mbpp/56", "solution": "def check(n):\n \"\"\"\n Checks if a given number is one less than twice its reverse.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is one less than twice its reverse, False otherwise.\n \"\"\"\n # Convert the number to a string to reverse it\n str_n = str(n)\n # Reverse the string\n reversed_str = str_n[::-1]\n # Convert the reversed string back to an integer\n reversed_n = int(reversed_str)\n # Check if the number is one less than twice its reverse\n return n == (2 * reversed_n) - 1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/19": [{"task_id": "Mbpp/19", "solution": "def test_duplicate(arr):\n \"\"\"\n This function checks if a given array of integers contains any duplicate element.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n bool: True if the array contains any duplicate element, False otherwise.\n \"\"\"\n # Convert the list to a set to remove duplicates and then compare its length to the original list\n return len(arr) != len(set(arr))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/12": [{"task_id": "Mbpp/12", "solution": "def sort_matrix(matrix):\n \"\"\"\n Sorts a given matrix in ascending order according to the sum of its rows.\n \n Parameters:\n matrix (list of lists): A 2D list representing the matrix.\n \n Returns:\n list of lists: The sorted matrix.\n \"\"\"\n # Calculate the sum of each row\n row_sums = [sum(row) for row in matrix]\n \n # Create a list of tuples (row, sum)\n row_sum_pairs = list(zip(matrix, row_sums))\n \n # Sort the list of tuples based on the sum\n sorted_row_sum_pairs = sorted(row_sum_pairs, key=lambda x: x[1])\n \n # Extract the sorted matrix from the sorted list of tuples\n sorted_matrix = [row for row, _ in sorted_row_sum_pairs]\n \n return sorted_matrix", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/2": [{"task_id": "Mbpp/2", "solution": "def similar_elements(list1, list2):\n \"\"\"\n Finds the shared elements from the given two lists.\n \n Parameters:\n list1 (list): The first list of elements.\n list2 (list): The second list of elements.\n \n Returns:\n set: A set of shared elements.\n \"\"\"\n return set(list1) & set(list2)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/14": [{"task_id": "Mbpp/14", "solution": "def find_Volume(base, height, length):\n \"\"\"\n Calculate the volume of a triangular prism.\n \n Parameters:\n base (float): The base of the triangular prism.\n height (float): The height of the triangular prism.\n length (float): The length of the triangular prism.\n \n Returns:\n float: The volume of the triangular prism.\n \"\"\"\n # Calculate the area of the base\n base_area = (base * height) / 2\n \n # Calculate the volume of the triangular prism\n volume = base_area * length\n \n return volume", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/16": [{"task_id": "Mbpp/16", "solution": "import re\ndef text_lowercase_underscore(text):\n \"\"\"\n This function checks if the input string contains sequences of lowercase letters joined with an underscore.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the string contains sequences of lowercase letters joined with an underscore, False otherwise.\n \"\"\"\n # Use regular expression to check for sequences of lowercase letters joined with an underscore\n pattern = r'[a-z]+_[a-z]+'\n return bool(re.search(pattern, text))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["Aaab_abbbc"]], "plus_fail_tests": [["abc_def_ghi_"]]}], "Mbpp/9": [{"task_id": "Mbpp/9", "solution": "def find_Rotations(s: str) -> int:\n \"\"\"\n Finds the minimum number of rotations (greater than 0) required to get the same string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The minimum number of rotations required.\n \n Examples:\n >>> find_Rotations(\"aaaa\")\n 1\n >>> find_Rotations(\"abcde\")\n 5\n >>> find_Rotations(\"abcabc\")\n 3\n \"\"\"\n n = len(s)\n if n == 0:\n return 0\n \n # Create a concatenated string\n s_concat = s + s\n \n # Find the first occurrence of the original string in the concatenated string\n index = s_concat.find(s)\n \n # If the original string is not found, return 0\n if index == -1:\n return 0\n \n # Calculate the number of rotations\n rotations = n - index\n \n return rotations", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["aaaa"]], "plus_fail_tests": [["aaaaaaaaaaa"]]}], "Mbpp/84": [{"task_id": "Mbpp/84", "solution": "def newman_conway(n):", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/68": [{"task_id": "Mbpp/68", "solution": "def is_Monotonic(arr):\n \"\"\"\n Checks if the given array is monotonic.\n \n A monotonic array is one where the elements are either entirely non-increasing or non-decreasing.\n \n Parameters:\n arr (list): The input list of integers.\n \n Returns:\n bool: True if the array is monotonic, False otherwise.\n \"\"\"\n if len(arr) < 2:\n return True # Single element or empty array is always monotonic\n \n # Check if the array is strictly increasing or decreasing\n increasing = all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1))\n decreasing = all(arr[i] >= arr[i + 1] for i in range(len(arr) - 1))\n \n return increasing or decreasing", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/67": [{"task_id": "Mbpp/67", "solution": "def bell_number(n):\n \"\"\"\n Calculate the number of ways to partition a set of Bell numbers.\n \n Parameters:\n n (int): The number of Bell numbers to partition.\n \n Returns:\n int: The number of ways to partition the set of Bell numbers.\n \"\"\"\n # Initialize the Bell triangle\n bell = [[0 for _ in range(n+1)] for _ in range(n+1)]\n bell[0][0] = 1\n \n # Fill the Bell triangle\n for i in range(1, n+1):\n bell[i][0] = bell[i-1][i-1]\n for j in range(1, i+1):\n bell[i][j] = bell[i-1][j-1] + bell[i][j-1]\n \n # The number of ways to partition the set of Bell numbers is the sum of the last row\n return sum(bell[n])", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[2]], "plus_fail_tests": [[100]]}], "Mbpp/66": [{"task_id": "Mbpp/66", "solution": "def pos_count(numbers):\n \"\"\"\n Counts the number of positive numbers in a list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The number of positive numbers in the list.\n \"\"\"\n count = 0\n for num in numbers:\n if num > 0:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/63": [{"task_id": "Mbpp/63", "solution": "def max_difference(tuples_list):\n \"\"\"\n Find the maximum difference between available pairs in the given tuple list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n int: The maximum difference between any two integers in the tuples.\n \"\"\"\n if not tuples_list:\n return 0\n \n max_diff = 0\n for i in range(len(tuples_list)):\n for j in range(i + 1, len(tuples_list)):\n diff = abs(tuples_list[i][0] - tuples_list[j][0])\n if diff > max_diff:\n max_diff = diff\n \n return max_diff", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[3, 5], [1, 7], [10, 3], [1, 2]]]], "plus_fail_tests": [[[[1000000, 999999], [10000000, 9999999], [100000000, 99999999], [1000000000, 999999999]]]]}], "Mbpp/74": [{"task_id": "Mbpp/74", "solution": "def is_samepatterns(patterns, sequence):\n \"\"\"\n Checks if the sequence follows the patterns array.\n\n Args:\n patterns (list): A list of patterns.\n sequence (list): A list of elements to check against the patterns.\n\n Returns:\n bool: True if the sequence follows the patterns, False otherwise.\n \"\"\"\n if len(patterns) != len(sequence):\n return False\n\n for i in range(len(patterns)):\n if patterns[i] != sequence[i]:\n return False\n\n return True", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["red", "green", "green"], ["a", "b", "b"]]], "plus_fail_tests": [[["red", "green", "blue"], ["a", "b", "c"]]]}], "Mbpp/71": [{"task_id": "Mbpp/71", "solution": "def comb_sort(lst):\n \"\"\"\n Sorts a list using the comb sort algorithm.\n \n Parameters:\n lst (list): The list to be sorted.\n \n Returns:\n list: The sorted list.\n \"\"\"\n gap = len(lst)\n shrink_factor = 1.3\n sorted = False\n\n while not sorted:\n gap = int(gap / shrink_factor)\n if gap <= 1:\n gap = 1\n sorted = True\n i = 0\n while i + gap < len(lst):\n if lst[i] > lst[i + gap]:\n lst[i], lst[i + gap] = lst[i + gap], lst[i]\n i += 1\n return lst", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/69": [{"task_id": "Mbpp/69", "solution": "def is_sublist(main_list, sublist):\n \"\"\"\n Checks if the sublist is a sublist of the main list.\n \n Parameters:\n main_list (list): The main list to check.\n sublist (list): The sublist to check for.\n \n Returns:\n bool: True if the sublist is a sublist of the main list, False otherwise.\n \"\"\"\n return sublist in main_list", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[2, 4, 3, 5, 7], [4, 3]]], "plus_fail_tests": [[[], []]]}], "Mbpp/85": [{"task_id": "Mbpp/85", "solution": "import math\ndef surfacearea_sphere(radius):\n \"\"\"\n Calculate the surface area of a sphere given its radius.\n \n Parameters:\n radius (float): The radius of the sphere.\n \n Returns:\n float: The surface area of the sphere.\n \"\"\"\n return 4 * math.pi * radius ** 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/70": [{"task_id": "Mbpp/70", "solution": "def get_equal(tuples_list):\n \"\"\"\n This function checks if all tuples in the given list have the same length.\n \n Parameters:\n tuples_list (list): A list of tuples.\n \n Returns:\n bool: True if all tuples have the same length, False otherwise.\n \"\"\"\n if not tuples_list:\n return True # An empty list is considered to have equal length\n \n first_length = len(tuples_list[0])\n return all(len(t) == first_length for t in tuples_list)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/72": [{"task_id": "Mbpp/72", "solution": "def dif_Square(n):\n \"\"\"\n Checks if a given number can be represented as the difference of two squares.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number can be represented as the difference of two squares, False otherwise.\n \"\"\"\n # Check if the number is a perfect square\n if n < 0:\n return False\n if int(n**0.5)**2 == n:\n return True\n \n # Check if the number can be represented as the difference of two squares\n for i in range(1, int(n**0.5) + 1):\n if int((n - i**2)**0.5)**2 == n - i**2:\n return True\n return False", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[10]], "plus_fail_tests": [[991]]}], "Mbpp/65": [{"task_id": "Mbpp/65", "solution": "def recursive_list_sum(lst):\n \"\"\"\n Recursively flattens a list and sums all its elements.\n \n Parameters:\n lst (list): The list to be flattened and summed.\n \n Returns:\n int: The sum of all elements in the flattened list.\n \"\"\"\n total = 0\n for item in lst:\n if isinstance(item, list):\n total += recursive_list_sum(item)\n else:\n total += item\n return total", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/75": [{"task_id": "Mbpp/75", "solution": "def find_tuples(tuples_list, k):\n \"\"\"\n Finds tuples from the given list that contain all elements divisible by k.\n \n Parameters:\n tuples_list (list): A list of tuples.\n k (int): The divisor.\n \n Returns:\n list: A list of tuples that contain all elements divisible by k.\n \"\"\"\n result = []\n for tup in tuples_list:\n if all(x % k == 0 for x in tup):\n result.append(tup)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/77": [{"task_id": "Mbpp/77", "solution": "def is_divisible_by_11(n):\n \"\"\"\n Checks if a number is divisible by 11.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is divisible by 11, False otherwise.\n \"\"\"\n # Convert the number to a string to easily access individual digits\n str_n = str(n)\n \n # Initialize the sum of the digits at odd and even positions\n sum_odd = 0\n sum_even = 0\n \n # Iterate over the digits of the number\n for i, digit in enumerate(str_n):\n # If the index is even, add the digit to sum_even\n if i % 2 == 0:\n sum_even += int(digit)\n # If the index is odd, add the digit to sum_odd\n else:\n sum_odd += int(digit)\n \n # Check if the absolute difference between sum_odd and sum_even is divisible by 11\n return abs(sum_odd - sum_even) % 11 == 0\n\n# Test the function with the provided data points\nassert is_divisible_by_11(12345) == False", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/79": [{"task_id": "Mbpp/79", "solution": "def word_len(word):\n \"\"\"\n Checks if the length of the word is odd.\n \n Parameters:\n word (str): The input word to check.\n \n Returns:\n bool: True if the length of the word is odd, False otherwise.\n \"\"\"\n return len(word) % 2 != 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/62": [{"task_id": "Mbpp/62", "solution": "def smallest_num(numbers):\n \"\"\"\n This function takes a list of numbers and returns the smallest number in the list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The smallest number in the list.\n \"\"\"\n if not numbers:\n raise ValueError(\"The list is empty\")\n return min(numbers)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/82": [{"task_id": "Mbpp/82", "solution": "import math\ndef volume_sphere(radius):\n \"\"\"\n Calculate the volume of a sphere given its radius.\n \n Parameters:\n radius (float): The radius of the sphere.\n \n Returns:\n float: The volume of the sphere.\n \"\"\"\n return (4/3) * math.pi * (radius ** 3)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/64": [{"task_id": "Mbpp/64", "solution": "def subject_marks(marks):\n \"\"\"\n Sorts a list of tuples using the second value of each tuple.\n \n Parameters:\n marks (list): A list of tuples, where each tuple contains a subject and its corresponding mark.\n \n Returns:\n list: The sorted list of tuples.\n \"\"\"\n return sorted(marks, key=lambda x: x[1])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/80": [{"task_id": "Mbpp/80", "solution": "def tetrahedral_number(n):\n \"\"\"\n Calculate the nth tetrahedral number.\n \n The nth tetrahedral number is the sum of the first n natural numbers.\n For example, the 5th tetrahedral number is 35 (1 + 2 + 3 + 4 + 5).\n \n Parameters:\n n (int): The position of the tetrahedral number to calculate.\n \n Returns:\n int: The nth tetrahedral number.\n \"\"\"\n return n * (n + 1) * (n + 2) // 6", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/88": [{"task_id": "Mbpp/88", "solution": "def freq_count(lst):\n \"\"\"\n Returns a dictionary with the frequency of each element in the list.\n \n Parameters:\n lst (list): The input list of elements.\n \n Returns:\n dict: A dictionary with elements as keys and their frequencies as values.\n \"\"\"\n freq_dict = {}\n for element in lst:\n if element in freq_dict:\n freq_dict[element] += 1\n else:\n freq_dict[element] = 1\n return freq_dict", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/86": [{"task_id": "Mbpp/86", "solution": "def centered_hexagonal_number(n):\n \"\"\"\n Calculate the nth centered hexagonal number.\n \n A centered hexagonal number is defined as the sum of the nth hexagonal number and the (n-1)th hexagonal number.\n \n Parameters:\n n (int): The position of the centered hexagonal number to calculate.\n \n Returns:\n int: The nth centered hexagonal number.\n \"\"\"\n # Calculate the nth hexagonal number\n nth_hexagonal = n * (2 * n - 1)\n \n # Calculate the (n-1)th hexagonal number\n n_minus_1_hexagonal = (n - 1) * (2 * (n - 1) - 1)\n \n # Calculate the nth centered hexagonal number\n centered_hexagonal = nth_hexagonal + n_minus_1_hexagonal\n \n return centered_hexagonal", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[10]], "plus_fail_tests": [[1000000]]}], "Mbpp/89": [{"task_id": "Mbpp/89", "solution": "def closest_num(n):\n \"\"\"\n Finds the closest smaller number than n.\n \n Parameters:\n n (int): The number to find the closest smaller number for.\n \n Returns:\n int: The closest smaller number.\n \"\"\"\n # Convert the number to a string to easily manipulate digits\n num_str = str(n)\n \n # Iterate over the digits from right to left\n for i in range(len(num_str) - 1, -1, -1):\n # If the digit is not 0, decrement it and return the result\n if num_str[i] != '0':\n return int(num_str[:i] + str(int(num_str[i]) - 1) + num_str[i + 1:])\n \n # If all digits are 0, return the number itself\n return n", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[-5]]}], "Mbpp/87": [{"task_id": "Mbpp/87", "solution": "def merge_dictionaries_three(dict1, dict2, dict3):\n \"\"\"\n Merges three dictionaries into a single dictionary.\n If there are duplicate keys, the value from the last dictionary will be used.\n \n :param dict1: The first dictionary.\n :param dict2: The second dictionary.\n :param dict3: The third dictionary.\n :return: A dictionary containing all key-value pairs from the input dictionaries.\n \"\"\"\n merged_dict = {}\n for d in (dict1, dict2, dict3):\n merged_dict.update(d)\n return merged_dict", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/95": [{"task_id": "Mbpp/95", "solution": "def find_min_length(list_of_lists):\n \"\"\"\n This function takes a list of lists and returns the length of the smallest list.\n \n Parameters:\n list_of_lists (list): A list of lists.\n \n Returns:\n int: The length of the smallest list.\n \"\"\"\n if not list_of_lists:\n return 0\n return min(len(sublist) for sublist in list_of_lists)\n\n# Test cases\nassert find_min_length([[1], [1, 2]]) == 1\nassert find_min_length([[1, 2, 3], [4, 5], [6]]) == 1\nassert find_min_length([[], [1, 2, 3], [4, 5, 6, 7]]) == 0\nassert find_min_length([]) == 0", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/61": [{"task_id": "Mbpp/61", "solution": "def count_Substrings(s):\n \"\"\"\n Counts the number of substrings with the sum of digits equal to their length.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The number of substrings with the sum of digits equal to their length.\n \"\"\"\n count = 0\n n = len(s)\n \n # Iterate over all possible substrings\n for i in range(n):\n for j in range(i + 1, n + 1):\n substring = s[i:j]\n sum_of_digits = sum(int(digit) for digit in substring)\n if sum_of_digits == len(substring):\n count += 1\n \n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/91": [{"task_id": "Mbpp/91", "solution": "def find_substring(strings, substring):\n \"\"\"\n Checks if a given substring is present as a substring in any string in a list of strings.\n\n Args:\n strings (list): A list of strings.\n substring (str): The substring to search for.\n\n Returns:\n bool: True if the substring is found, False otherwise.\n \"\"\"\n for s in strings:\n if substring in s:\n return True\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/90": [{"task_id": "Mbpp/90", "solution": "def len_log(words):\n \"\"\"\n This function takes a list of words and returns the length of the longest word.\n \n Parameters:\n words (list): A list of strings representing words.\n \n Returns:\n int: The length of the longest word in the list.\n \"\"\"\n if not words:\n return 0\n return max(len(word) for word in words)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/97": [{"task_id": "Mbpp/97", "solution": "def frequency_lists(nested_list):\n \"\"\"\n This function takes a list of lists and returns a dictionary with the frequency of each element.\n \n Parameters:\n nested_list (list): A list of lists.\n \n Returns:\n dict: A dictionary with elements as keys and their frequencies as values.\n \"\"\"\n frequency_dict = {}\n for sublist in nested_list:\n for element in sublist:\n if element in frequency_dict:\n frequency_dict[element] += 1\n else:\n frequency_dict[element] = 1\n return frequency_dict", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/99": [{"task_id": "Mbpp/99", "solution": "def decimal_to_binary(n):\n \"\"\"\n Converts a decimal number to its binary equivalent, represented as a string with no leading zeros.\n \n Parameters:\n n (int): The decimal number to be converted.\n \n Returns:\n str: The binary equivalent of the decimal number as a string.\n \"\"\"\n if n == 0:\n return '0'\n binary = ''\n while n > 0:\n binary = str(n % 2) + binary\n n = n // 2\n return binary", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[-5]]}], "Mbpp/104": [{"task_id": "Mbpp/104", "solution": "def sort_sublists(list_of_lists):\n \"\"\"\n Sorts each sublist of strings in a given list of lists.\n \n Parameters:\n list_of_lists (list): A list of lists, where each sublist contains strings.\n \n Returns:\n list: A new list of lists, where each sublist is sorted.\n \"\"\"\n return [sorted(sublist) for sublist in list_of_lists]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/101": [{"task_id": "Mbpp/101", "solution": "def kth_element(arr, k):\n \"\"\"\n Find the kth element in the given array using 1-based indexing.\n \n Parameters:\n arr (list): The input array.\n k (int): The position of the element to find (1-based indexing).\n \n Returns:\n int: The kth element in the array.\n \n Raises:\n ValueError: If k is out of range (1 <= k <= len(arr)).\n \"\"\"\n if not 1 <= k <= len(arr):\n raise ValueError(\"k is out of range\")\n return arr[k - 1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/98": [{"task_id": "Mbpp/98", "solution": "import math\ndef multiply_num(numbers):\n \"\"\"\n This function takes a list of numbers, multiplies them all together, and then divides by the length of the list.\n \n Parameters:\n numbers (list): A list of numbers.\n \n Returns:\n float: The result of the multiplication and division.\n \"\"\"\n if not numbers:\n return 0.0 # Return 0 if the list is empty\n product = 1\n for num in numbers:\n product *= num\n return product / len(numbers)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/93": [{"task_id": "Mbpp/93", "solution": "def power(a, b):\n \"\"\"\n Calculate the value of 'a' to the power 'b'.\n \n Parameters:\n a (int or float): The base number.\n b (int): The exponent.\n \n Returns:\n int or float: The result of a raised to the power b.\n \"\"\"\n return a ** b", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/94": [{"task_id": "Mbpp/94", "solution": "def index_minimum(tuples_list):\n \"\"\"\n Given a list of tuples, returns the first value of the tuple with the smallest second value.\n \n :param tuples_list: List of tuples, where each tuple contains a string and an integer.\n :return: The first value of the tuple with the smallest second value.\n \"\"\"\n if not tuples_list:\n return None\n \n # Initialize the minimum tuple with the first element of the list\n min_tuple = tuples_list[0]\n \n # Iterate over the list to find the tuple with the smallest second value\n for tup in tuples_list:\n if tup[1] < min_tuple[1]:\n min_tuple = tup\n \n return min_tuple[0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/102": [{"task_id": "Mbpp/102", "solution": "def snake_to_camel(snake_str):\n \"\"\"\n Converts a snake case string to a camel case string.\n \n Parameters:\n snake_str (str): The snake case string to be converted.\n \n Returns:\n str: The camel case string.\n \"\"\"\n # Split the snake case string into words\n words = snake_str.split('_')\n \n # Capitalize the first word and join the rest of the words\n camel_str = ''.join(word.capitalize() for word in words)\n \n return camel_str", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["___python_program"]]}], "Mbpp/103": [{"task_id": "Mbpp/103", "solution": "def eulerian_num(n, m):\n \"\"\"\n Calculate the Eulerian number a(n, m) using the formula:\n a(n, m) = (n - m)! / m!\n \"\"\"\n from math import factorial\n return factorial(n - m) // factorial(m)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3, 1]], "plus_fail_tests": [[0, 0]]}], "Mbpp/100": [{"task_id": "Mbpp/100", "solution": "def next_smallest_palindrome(n):\n \"\"\"\n Finds the next smallest palindrome of a specified integer.\n \n Parameters:\n n (int): The input integer.\n \n Returns:\n int: The next smallest palindrome of the input integer.\n \"\"\"\n def is_palindrome(num):\n \"\"\"\n Checks if a number is a palindrome.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is a palindrome, False otherwise.\n \"\"\"\n return str(num) == str(num)[::-1]\n\n def next_smallest_palindrome_helper(num):\n \"\"\"\n Helper function to find the next smallest palindrome.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n int: The next smallest palindrome of the input number.\n \"\"\"\n if is_palindrome(num):\n return num\n else:\n return next_smallest_palindrome_helper(num + 1)\n\n return next_smallest_palindrome_helper(n)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[99]], "plus_fail_tests": [[0]]}], "Mbpp/92": [{"task_id": "Mbpp/92", "solution": "def is_undulating(n):\n \"\"\"\n Checks if a given number is undulating.\n \n An undulating number is a number that alternates between even and odd digits.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is undulating, False otherwise.\n \"\"\"\n # Convert the number to a string to easily access each digit\n num_str = str(n)\n \n # Iterate over the string, checking if each digit is the same as the next one\n for i in range(len(num_str) - 1):\n if num_str[i] == num_str[i + 1]:\n return False\n \n return True", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[2121212121212123]]}], "Mbpp/96": [{"task_id": "Mbpp/96", "solution": "def divisor(n):\n \"\"\"\n Returns the number of divisors of a given integer.\n \n Parameters:\n n (int): The integer for which to find the number of divisors.\n \n Returns:\n int: The number of divisors of the given integer.\n \"\"\"\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/105": [{"task_id": "Mbpp/105", "solution": "def count_true_booleans(lst):\n \"\"\"\n Counts the number of True values in the given list.\n \n Parameters:\n lst (list): A list of boolean values.\n \n Returns:\n int: The number of True values in the list.\n \"\"\"\n return sum(1 for value in lst if value is True)\n\n# Test cases\nassert count_true_booleans([True, False, True]) == 2\nassert count_true_booleans([False, False, False]) == 0\nassert count_true_booleans([True, True, True]) == 3\nassert count_true_booleans([]) == 0", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/106": [{"task_id": "Mbpp/106", "solution": "def add_lists(lst, tup):\n \"\"\"\n Appends the given list to the given tuple.\n \n Parameters:\n lst (list): The list to be appended.\n tup (tuple): The tuple to which the list will be appended.\n \n Returns:\n tuple: The resulting tuple after appending the list.\n \"\"\"\n return tup + tuple(lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/109": [{"task_id": "Mbpp/109", "solution": "def odd_Equivalent(binary_string, rotations):\n \"\"\"\n This function takes a binary string and the number of rotations as input and returns the number of numbers with an odd value when the binary string is rotated the given number of times.\n \n Parameters:\n binary_string (str): A binary string representing a number.\n rotations (int): The number of times the binary string should be rotated.\n \n Returns:\n int: The number of numbers with an odd value when the binary string is rotated the given number of times.\n \"\"\"\n # Convert the binary string to an integer\n num = int(binary_string, 2)\n \n # Initialize a counter for numbers with an odd value\n odd_count = 0\n \n # Iterate over the range of rotations\n for _ in range(rotations):\n # Rotate the binary string to the left by one position\n binary_string = binary_string[1:] + binary_string[0]\n \n # Convert the rotated binary string to an integer\n rotated_num = int(binary_string, 2)\n \n # Check if the rotated number is odd\n if rotated_num % 2 != 0:\n odd_count += 1\n \n return odd_count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/113": [{"task_id": "Mbpp/113", "solution": "def check_integer(s):\n \"\"\"\n Checks if a string represents an integer.\n \n Parameters:\n s (str): The string to check.\n \n Returns:\n bool: True if the string represents an integer, False otherwise.\n \"\"\"\n try:\n int(s)\n return True\n except ValueError:\n return False", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[""]]}], "Mbpp/108": [{"task_id": "Mbpp/108", "solution": "def merge_sorted_list(list1, list2, list3):\n \"\"\"\n Merge three sorted lists into a single sorted list.\n \n Parameters:\n list1 (list): The first sorted list.\n list2 (list): The second sorted list.\n list3 (list): The third sorted list.\n \n Returns:\n list: A single sorted list containing all elements from the input lists.\n \"\"\"\n # Combine all lists into one\n combined_list = list1 + list2 + list3\n \n # Sort the combined list\n combined_list.sort()\n \n return combined_list", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/111": [{"task_id": "Mbpp/111", "solution": "def common_in_nested_lists(nested_lists):\n \"\"\"\n Finds the common elements in a list of nested lists.\n \n Parameters:\n nested_lists (list): A list of lists, where each sublist contains integers.\n \n Returns:\n list: A list of common elements found in all sublists.\n \"\"\"\n # Check if the input is a list of lists\n if not all(isinstance(sublist, list) for sublist in nested_lists):\n raise ValueError(\"Input must be a list of lists.\")\n \n # Check if all sublists contain only integers\n if not all(all(isinstance(item, int) for item in sublist) for sublist in nested_lists):\n raise ValueError(\"All elements in the sublists must be integers.\")\n \n # Find the intersection of all sublists\n common_elements = set(nested_lists[0])\n for sublist in nested_lists[1:]:\n common_elements &= set(sublist)\n \n return list(common_elements)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[[], ["pesDUr", "hHJC", "tENrXrt", "dFybnG", "z", "UymdT", "G", "UbwECYme"], [], []]]]}], "Mbpp/126": [{"task_id": "Mbpp/126", "solution": "def sum_common_divisors(a, b):\n \"\"\"\n This function calculates the sum of common divisors of two given numbers.\n \n Parameters:\n a (int): The first number.\n b (int): The second number.\n \n Returns:\n int: The sum of common divisors of a and b.\n \"\"\"\n def gcd(x, y):\n \"\"\"\n This helper function calculates the greatest common divisor of two numbers.\n \n Parameters:\n x (int): The first number.\n y (int): The second number.\n \n Returns:\n int: The greatest common divisor of x and y.\n \"\"\"\n while y:\n x, y = y, x % y\n return x\n\n def sum_divisors(n):\n \"\"\"\n This helper function calculates the sum of divisors of a number.\n \n Parameters:\n n (int): The number.\n \n Returns:\n int: The sum of divisors of n.\n \"\"\"\n result = 0\n for i in range(1, int(n**0.5) + 1):\n if n % i == 0:\n result += i\n if i != n // i:\n result += n // i\n return result\n\n # Calculate the greatest common divisor of a and b\n gcd_value = gcd(a, b)\n \n # Calculate the sum of divisors of the greatest common divisor\n sum_gcd_divisors = sum_divisors(gcd_value)\n \n return sum_gcd_divisors\n\n# Test the function\nassert sum_common_divisors(10, 15) == 6", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/118": [{"task_id": "Mbpp/118", "solution": "def string_to_list(s):\n \"\"\"\n Convert a string to a list of strings split on the space character.\n \n Parameters:\n s (str): The input string to be split.\n \n Returns:\n list: A list of strings split by the space character.\n \"\"\"\n return s.split()", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[""]]}], "Mbpp/116": [{"task_id": "Mbpp/116", "solution": "def tuple_to_int(tup):\n \"\"\"\n Converts a tuple of positive integers into a single integer.\n \n Parameters:\n tup (tuple): A tuple of positive integers.\n \n Returns:\n int: The integer representation of the tuple.\n \"\"\"\n return int(''.join(map(str, tup)))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/119": [{"task_id": "Mbpp/119", "solution": "def search(nums):\n \"\"\"\n This function takes a sorted array of integers and returns the element that appears only once.\n \n Parameters:\n nums (list): A sorted array of integers.\n \n Returns:\n int: The element that appears only once in the array.\n \"\"\"\n left, right = 0, len(nums) - 1\n while left < right:\n mid = (left + right) // 2\n if nums[mid] == nums[mid ^ 1]:\n left = mid + 1\n else:\n right = mid\n return nums[left]", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[]]]}], "Mbpp/125": [{"task_id": "Mbpp/125", "solution": "def find_length(binary_string):\n \"\"\"\n Finds the maximum difference between the number of 0s and number of 1s in any sub-string of the given binary string.\n \n Parameters:\n binary_string (str): A string of 0s and 1s.\n \n Returns:\n int: The maximum difference between the number of 0s and number of 1s in any sub-string.\n \"\"\"\n max_diff = 0\n current_diff = 0\n for char in binary_string:\n if char == '0':\n current_diff += 1\n else:\n current_diff -= 1\n if current_diff > max_diff:\n max_diff = current_diff\n return max_diff", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["11000010001"]], "plus_fail_tests": [["100000011100000000111111111000000011111101"]]}], "Mbpp/127": [{"task_id": "Mbpp/127", "solution": "def multiply_int(a, b):\n \"\"\"\n This function multiplies two integers.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n int: The product of a and b.\n \"\"\"\n return a * b", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/129": [{"task_id": "Mbpp/129", "solution": "def is_magic_square(matrix):\n \"\"\"\n Checks if a given matrix is a magic square.\n \n A magic square is a square grid filled with distinct positive integers such that each cell contains a different integer,\n and the sum of the numbers in each row, each column, and both main diagonals is the same.\n \n :param matrix: A list of lists representing the matrix.\n :return: True if the matrix is a magic square, False otherwise.\n \"\"\"\n # Get the size of the matrix\n n = len(matrix)\n \n # Calculate the sum of the first row\n row_sum = sum(matrix[0])\n \n # Check the sum of each row\n for row in matrix:\n if sum(row) != row_sum:\n return False\n \n # Check the sum of each column\n for col in range(n):\n if sum(matrix[i][col] for i in range(n)) != row_sum:\n return False\n \n # Check the sum of the main diagonal\n if sum(matrix[i][i] for i in range(n)) != row_sum:\n return False\n \n # Check the sum of the secondary diagonal\n if sum(matrix[i][n - i - 1] for i in range(n)) != row_sum:\n return False\n \n return True\n\n# Test the function\nassert is_magic_square([[7, 12, 1, 14], [2, 13, 8, 11], [16, 3, 10, 5], [9, 6, 15, 4]]) == True", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/124": [{"task_id": "Mbpp/124", "solution": "import math\ndef angle_complex(z):\n \"\"\"\n Calculate the angle of a complex number in radians.\n \n Parameters:\n z (complex): The complex number.\n \n Returns:\n float: The angle of the complex number in radians.\n \"\"\"\n return math.atan2(z.imag, z.real)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["0.0", "1j"]], "plus_fail_tests": [["0.0", "0j"]]}], "Mbpp/120": [{"task_id": "Mbpp/120", "solution": "def max_product_tuple(tuples_list):\n \"\"\"\n Finds the maximum absolute product between numbers in pairs of tuples within a given list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n int: The maximum absolute product between numbers in pairs of tuples.\n \"\"\"\n max_product = float('-inf')\n for i in range(len(tuples_list)):\n for j in range(i + 1, len(tuples_list)):\n product = abs(tuples_list[i][0] * tuples_list[j][0])\n if product > max_product:\n max_product = product\n return max_product", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[2, 7], [2, 6], [1, 8], [4, 9]]]], "plus_fail_tests": [[[[-10, 20], [15, -2], [-5, 10]]]]}], "Mbpp/130": [{"task_id": "Mbpp/130", "solution": "def max_occurrences(lst):\n \"\"\"\n Finds the item with maximum frequency in a given list.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n int: The item with maximum frequency.\n \n Raises:\n ValueError: If the input list is empty.\n \"\"\"\n if not lst:\n raise ValueError(\"Input list cannot be empty\")\n \n # Count the frequency of each item in the list\n frequency = {}\n for item in lst:\n if item in frequency:\n frequency[item] += 1\n else:\n frequency[item] = 1\n \n # Find the item with maximum frequency\n max_item = max(frequency, key=frequency.get)\n \n return max_item", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/131": [{"task_id": "Mbpp/131", "solution": "def reverse_vowels(s: str) -> str:\n \"\"\"\n Reverses the vowels in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with vowels reversed.\n \n Examples:\n >>> reverse_vowels(\"Python\")\n 'Python'\n >>> reverse_vowels(\"Hello World\")\n 'Holle Werld'\n >>> reverse_vowels(\"aeiou\")\n 'uoiea'\n \"\"\"\n vowels = 'aeiouAEIOU'\n vowels_in_s = [char for char in s if char in vowels]\n reversed_vowels = vowels_in_s[::-1]\n \n result = []\n j = 0\n for char in s:\n if char in vowels:\n result.append(reversed_vowels[j])\n j += 1\n else:\n result.append(char)\n \n return ''.join(result)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/128": [{"task_id": "Mbpp/128", "solution": "def long_words(n, text):\n \"\"\"\n This function takes an integer n and a string text.\n It returns a list of words from the text that are longer than n characters.\n \n Parameters:\n n (int): The minimum length of words to include in the result.\n text (str): The input string containing words separated by spaces.\n \n Returns:\n list: A list of words from the text that are longer than n characters.\n \"\"\"\n # Split the text into words\n words = text.split()\n \n # Filter words that are longer than n characters\n long_words = [word for word in words if len(word) > n]\n \n return long_words", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/132": [{"task_id": "Mbpp/132", "solution": "def tup_string(tup):\n \"\"\"\n Converts a tuple to a string.\n \n Parameters:\n tup (tuple): The input tuple to be converted.\n \n Returns:\n str: The string representation of the input tuple.\n \"\"\"\n return ''.join(tup)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/133": [{"task_id": "Mbpp/133", "solution": "def sum_negativenum(numbers):\n \"\"\"\n Calculate the sum of the negative numbers in a given list of numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The sum of the negative numbers in the list.\n \"\"\"\n return sum(num for num in numbers if num < 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/135": [{"task_id": "Mbpp/135", "solution": "def hexagonal_num(n):\n \"\"\"\n Calculate the nth hexagonal number.\n \n Parameters:\n n (int): The position of the hexagonal number to calculate.\n \n Returns:\n int: The nth hexagonal number.\n \"\"\"\n return n * (2 * n - 1)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/137": [{"task_id": "Mbpp/137", "solution": "import math\ndef zero_count(arr):\n \"\"\"\n Calculate the ratio of zeroes to non-zeroes in an array of integers.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n float: The ratio of zeroes to non-zeroes in the array.\n \"\"\"\n if not arr:\n return 0.0\n \n zero_count = sum(1 for num in arr if num == 0)\n non_zero_count = len(arr) - zero_count\n \n if non_zero_count == 0:\n return 0.0\n \n return zero_count / non_zero_count", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]]}], "Mbpp/138": [{"task_id": "Mbpp/138", "solution": "def is_Sum_Of_Powers_Of_Two(n):\n \"\"\"\n Checks if a given number can be represented as the sum of non-zero powers of 2.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number can be represented as the sum of non-zero powers of 2, False otherwise.\n \"\"\"\n # Base case: if n is 0, it can be represented as the sum of non-zero powers of 2\n if n == 0:\n return True\n \n # Initialize a counter to keep track of the number of powers of 2 used\n count = 0\n \n # Iterate over the powers of 2 starting from the highest power\n power = 1\n while power <= n:\n # If the current power of 2 is less than or equal to n, add it to the sum\n if power <= n:\n n -= power\n count += 1\n # Move to the next power of 2\n power *= 2\n \n # If the number of powers of 2 used is greater than 0, it can be represented as the sum of non-zero powers of 2\n return count > 0", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[7]], "plus_fail_tests": [[123456789]]}], "Mbpp/139": [{"task_id": "Mbpp/139", "solution": "import math\ndef circle_circumference(radius):\n \"\"\"\n Calculate the circumference of a circle given its radius.\n \n Parameters:\n radius (float): The radius of the circle.\n \n Returns:\n float: The circumference of the circle.\n \"\"\"\n return 2 * math.pi * radius", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/160": [{"task_id": "Mbpp/160", "solution": "def find_solution(a, b, n):\n \"\"\"\n Finds integers x and y such that ax + by = n.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n n (int): The target value.\n \n Returns:\n tuple: A tuple (x, y) if a solution exists, otherwise None.\n \"\"\"\n # Check if a and b are coprime\n if gcd(a, b) != 1:\n return None\n \n # Use the extended Euclidean algorithm to find x and y\n x, y, gcd_value = extended_gcd(a, b)\n \n # If n is not a multiple of the gcd, no solution exists\n if n % gcd_value != 0:\n return None\n \n # Scale x and y to find the solution\n x *= n // gcd_value\n y *= n // gcd_value\n \n return (x, y)\ndef gcd(a, b):\n \"\"\"\n Computes the greatest common divisor of a and b.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n int: The greatest common divisor of a and b.\n \"\"\"\n while b:\n a, b = b, a % b\n return a\ndef extended_gcd(a, b):\n \"\"\"\n Computes the greatest common divisor of a and b along with the coefficients x and y.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n tuple: A tuple (x, y, gcd) where x and y are the coefficients and gcd is the greatest common divisor.\n \"\"\"\n if a == 0:\n return (0, 1, b)\n else:\n x, y, gcd_value = extended_gcd(b % a, a)\n return (y - (b // a) * x, x, gcd_value)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[2, 3, 7]], "plus_fail_tests": [[100, 50, 4000]]}], "Mbpp/140": [{"task_id": "Mbpp/140", "solution": "def extract_singly(list_of_lists):\n \"\"\"\n Flattens a list of lists into a single set of numbers.\n \n Args:\n list_of_lists (list): A list of lists containing numbers.\n \n Returns:\n set: A set containing all unique numbers from the input lists.\n \"\"\"\n # Use a set to automatically remove duplicates and flatten the list\n return set(num for sublist in list_of_lists for num in sublist)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/145": [{"task_id": "Mbpp/145", "solution": "def max_Abs_Diff(arr):\n \"\"\"\n This function takes an array of integers and returns the maximum absolute difference between any two elements.\n \n Parameters:\n arr (tuple): A tuple of integers.\n \n Returns:\n int: The maximum absolute difference between any two elements in the array.\n \"\"\"\n # Convert the tuple to a list for easier manipulation\n arr_list = list(arr)\n \n # Initialize the maximum difference to be the difference between the first two elements\n max_diff = abs(arr_list[0] - arr_list[1])\n \n # Iterate through the list to find the maximum difference\n for i in range(len(arr_list)):\n for j in range(i + 1, len(arr_list)):\n diff = abs(arr_list[i] - arr_list[j])\n if diff > max_diff:\n max_diff = diff\n \n return max_diff", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[1]]]}], "Mbpp/142": [{"task_id": "Mbpp/142", "solution": "def count_samepair(list1, list2, list3):\n \"\"\"\n Counts the number of items that are identical in the same position of three given lists.\n \n Parameters:\n list1 (list): The first list.\n list2 (list): The second list.\n list3 (list): The third list.\n \n Returns:\n int: The number of items that are identical in the same position of the three lists.\n \"\"\"\n # Initialize a counter for identical items\n count = 0\n \n # Iterate over the lists in parallel\n for item1, item2, item3 in zip(list1, list2, list3):\n # Check if the items are identical in the same position\n if item1 == item2 == item3:\n # Increment the counter if they are identical\n count += 1\n \n # Return the count of identical items\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/141": [{"task_id": "Mbpp/141", "solution": "def pancake_sort(arr):\n \"\"\"\n Sorts a list of elements using the pancake sort algorithm.\n \n Parameters:\n arr (list): A list of elements to be sorted.\n \n Returns:\n list: The sorted list.\n \"\"\"\n def flip(arr, k):\n \"\"\"\n Flips the first k elements of the array.\n \n Parameters:\n arr (list): The array to be flipped.\n k (int): The number of elements to flip.\n \"\"\"\n i = 0\n while i < k // 2:\n arr[i], arr[k - i - 1] = arr[k - i - 1], arr[i]\n i += 1\n \n n = len(arr)\n for i in range(n, 0, -1):\n # Find the maximum element in the unsorted part of the array\n max_idx = arr.index(max(arr[:i]))\n \n # If the maximum element is not at the end, flip it to the end\n if max_idx != i - 1:\n flip(arr, max_idx + 1)\n flip(arr, i)\n \n return arr", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/168": [{"task_id": "Mbpp/168", "solution": "def frequency(numbers, target):\n \"\"\"\n Counts the number of occurrences of a number in a given list.\n \n Parameters:\n numbers (list): The list of numbers to search through.\n target (int): The number to count occurrences of.\n \n Returns:\n int: The number of times the target number appears in the list.\n \"\"\"\n return numbers.count(target)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/171": [{"task_id": "Mbpp/171", "solution": "def perimeter_pentagon(side_length):\n \"\"\"\n Calculate the perimeter of a regular pentagon given the length of its sides.\n \n Parameters:\n side_length (float): The length of the sides of the pentagon.\n \n Returns:\n float: The perimeter of the pentagon.\n \"\"\"\n return 5 * side_length", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/166": [{"task_id": "Mbpp/166", "solution": "def find_even_pair(nums):\n \"\"\"\n Counts the number of pairs of integers in a list that xor to an even number.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The number of pairs that xor to an even number.\n \"\"\"\n count = 0\n for i in range(len(nums)):\n for j in range(i + 1, len(nums)):\n if nums[i] ^ nums[j] % 2 == 0:\n count += 1\n return count", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[5, 4, 7, 2, 1]]], "plus_fail_tests": [[[1, 3, 5, 7, 9, 2, 4, 6, 8, 10]]]}], "Mbpp/170": [{"task_id": "Mbpp/170", "solution": "def sum_range_list(numbers, start, end):\n \"\"\"\n Returns the sum of numbers in the list within the specified range.\n \n Parameters:\n numbers (list): A list of numbers.\n start (int): The start index of the range (inclusive).\n end (int): The end index of the range (inclusive).\n \n Returns:\n int: The sum of numbers in the specified range.\n \"\"\"\n return sum(numbers[start:end+1])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/167": [{"task_id": "Mbpp/167", "solution": "def next_power_of_2(n):\n \"\"\"\n Find the smallest power of 2 greater than or equal to n.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The smallest power of 2 greater than or equal to n.\n \"\"\"\n if n <= 0:\n return 1\n return 2 ** (n - 1).bit_length()", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/165": [{"task_id": "Mbpp/165", "solution": "def count_char_position(s):\n \"\"\"\n Counts the number of characters in a string that occur at the same position in the string as in the English alphabet (case insensitive).\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The count of characters that occur at the same position in the string as in the English alphabet.\n \"\"\"\n # Convert the string to lowercase to make the comparison case-insensitive\n s = s.lower()\n # Initialize the count of characters that occur at the same position in the string as in the English alphabet\n count = 0\n # Iterate over the string\n for i in range(len(s)):\n # Check if the character at the current position is the same as its position in the English alphabet\n if s[i] == chr(97 + i): # 'a' is at position 0, 'b' at 1, 'c' at 2, etc.\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/172": [{"task_id": "Mbpp/172", "solution": "def count_occurance(s):\n \"\"\"\n Counts the number of occurrences of the string 'std' in a given string.\n \n Parameters:\n s (str): The input string to search for 'std'.\n \n Returns:\n int: The number of times 'std' appears in the input string.\n \"\"\"\n return s.count('std')", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/161": [{"task_id": "Mbpp/161", "solution": "def remove_elements(lst, elements_to_remove):\n \"\"\"\n Removes all elements from the given list that are present in the elements_to_remove list.\n \n Parameters:\n lst (list): The list from which elements are to be removed.\n elements_to_remove (list): The list of elements to be removed from the lst.\n \n Returns:\n list: The modified list with elements removed.\n \"\"\"\n return [element for element in lst if element not in elements_to_remove]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/223": [{"task_id": "Mbpp/223", "solution": "def is_majority(arr, n, x):\n \"\"\"\n Checks if the element x is the majority element in the sorted array arr.\n \n Parameters:\n arr (list): A sorted array of integers.\n n (int): The length of the array.\n x (int): The element to check for majority.\n \n Returns:\n bool: True if x is the majority element, False otherwise.\n \"\"\"\n # Calculate the threshold for the majority element\n threshold = n // 2\n \n # Find the first occurrence of x in the array\n first_occurrence = -1\n for i in range(n):\n if arr[i] == x:\n first_occurrence = i\n break\n \n # If x is not found, it cannot be the majority element\n if first_occurrence == -1:\n return False\n \n # Check if x is the majority element\n return arr[first_occurrence + threshold] == x", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[], 1, 0]]}], "Mbpp/222": [{"task_id": "Mbpp/222", "solution": "def check_type(tup):\n \"\"\"\n Checks if all elements in the given tuple have the same data type.\n \n Parameters:\n tup (tuple): The input tuple to be checked.\n \n Returns:\n bool: True if all elements have the same data type, False otherwise.\n \"\"\"\n if not tup: # Check if the tuple is empty\n return True # An empty tuple is considered to have the same type for all elements\n \n first_type = type(tup[0])\n for element in tup[1:]:\n if type(element) != first_type:\n return False\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/227": [{"task_id": "Mbpp/227", "solution": "def min_of_three(a, b, c):\n \"\"\"\n Returns the minimum of three numbers.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n c (int or float): The third number.\n \n Returns:\n int or float: The minimum of the three numbers.\n \"\"\"\n return min(a, b, c)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/226": [{"task_id": "Mbpp/226", "solution": "def odd_values_string(s):\n \"\"\"\n Removes characters with odd index values from the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with characters at odd indices removed.\n \n Example:\n >>> odd_values_string('abcdef')\n 'ace'\n \"\"\"\n return ''.join([s[i] for i in range(len(s)) if i % 2 == 0])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/224": [{"task_id": "Mbpp/224", "solution": "def count_Set_Bits(n):\n \"\"\"\n Counts the number of set bits (binary digits with value 1) in a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number of set bits in the input number.\n \"\"\"\n count = 0\n while n:\n count += n & 1\n n >>= 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/233": [{"task_id": "Mbpp/233", "solution": "import math", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/230": [{"task_id": "Mbpp/230", "solution": "def replace_blank(input_string, replacement_char):\n \"\"\"\n Replaces blank spaces in the input string with the specified character.\n\n Args:\n input_string (str): The input string to be processed.\n replacement_char (str): The character to replace blank spaces with.\n\n Returns:\n str: The processed string with blank spaces replaced.\n \"\"\"\n return input_string.replace(' ', replacement_char)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/232": [{"task_id": "Mbpp/232", "solution": "def largest_nnum(lst, n):\n \"\"\"\n This function takes in a list and an integer n and returns a list containing the n largest items from the list.\n \n Parameters:\n lst (list): The input list from which to find the n largest items.\n n (int): The number of largest items to return.\n \n Returns:\n list: A list containing the n largest items from the input list.\n \"\"\"\n # Sort the list in descending order\n sorted_lst = sorted(lst, reverse=True)\n # Return the first n items from the sorted list\n return sorted_lst[:n]\n\n# Test the function with the provided data point\nassert set(largest_nnum([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100], 2)) == set([100, 90])", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/237": [{"task_id": "Mbpp/237", "solution": "def check_occurences(tuples_list):\n \"\"\"\n This function takes a list of tuples and returns a dictionary mapping each unique tuple to the number of times it occurs in the list.\n \n Parameters:\n tuples_list (list): A list of tuples.\n \n Returns:\n dict: A dictionary mapping each unique tuple to the number of times it occurs in the list.\n \"\"\"\n # Initialize an empty dictionary to store the occurrences\n occurrences = {}\n \n # Iterate over each tuple in the list\n for tup in tuples_list:\n # Sort the tuple to ensure (1, 3) and (3, 1) are considered the same\n sorted_tup = tuple(sorted(tup))\n \n # If the sorted tuple is already in the dictionary, increment its count\n if sorted_tup in occurrences:\n occurrences[sorted_tup] += 1\n # Otherwise, add it to the dictionary with a count of 1\n else:\n occurrences[sorted_tup] = 1\n \n # Return the dictionary of occurrences\n return occurrences", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/244": [{"task_id": "Mbpp/244", "solution": "import math\ndef next_Perfect_Square(n):\n \"\"\"\n This function finds the next perfect square greater than a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The next perfect square greater than n.\n \n Examples:\n >>> next_Perfect_Square(35)\n 36\n \"\"\"\n # Calculate the square root of n\n root = math.sqrt(n)\n \n # Check if the square root is an integer\n if root.is_integer():\n # If it is, the next perfect square is (root + 1)^2\n return (root + 1) ** 2\n else:\n # If it's not, the next perfect square is (root + 1)^2\n return (math.ceil(root) + 1) ** 2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[35]], "plus_fail_tests": [[-5]]}], "Mbpp/238": [{"task_id": "Mbpp/238", "solution": "def number_of_substrings(s):\n \"\"\"\n Counts the number of non-empty substrings of a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The number of non-empty substrings.\n \"\"\"\n n = len(s)\n return n * (n + 1) // 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/242": [{"task_id": "Mbpp/242", "solution": "def count_charac(s):\n \"\"\"\n Counts the total number of characters in a string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The total number of characters in the string.\n \"\"\"\n return len(s)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/239": [{"task_id": "Mbpp/239", "solution": "def get_total_number_of_sequences(m, n):\n \"\"\"\n Calculate the number of possible sequences of length n, where each element is a positive integer,\n is greater than or equal to twice the previous element, and is less than or equal to m.\n \n Parameters:\n m (int): The upper limit for each element in the sequence.\n n (int): The length of the sequence.\n \n Returns:\n int: The number of possible sequences.\n \"\"\"\n # Initialize a list to store the number of sequences for each length up to n\n sequences = [0] * (n + 1)\n \n # Base case: a sequence of length 1 can have any number from 1 to m\n sequences[1] = m\n \n # Calculate the number of sequences for each length from 2 to n\n for length in range(2, n + 1):\n for prev_length in range(1, length):\n # Calculate the maximum possible value for the current element\n max_value = min(m, 2 * sequences[prev_length])\n # Add the number of sequences with the current element to the total\n sequences[length] += max_value - sequences[prev_length] + 1\n \n # The total number of sequences is the sum of the sequences for each length up to n\n return sum(sequences)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[10, 4]], "plus_fail_tests": [[100, 10]]}], "Mbpp/245": [{"task_id": "Mbpp/245", "solution": "def max_sum(arr):\n \"\"\"\n Finds the maximum sum of a bitonic subsequence in the given array.\n \n A bitonic subsequence is one where the sequence is first increasing and then decreasing.\n \n Parameters:\n arr (list): The input array.\n \n Returns:\n int: The maximum sum of a bitonic subsequence.\n \"\"\"\n n = len(arr)\n if n < 3:\n return max(arr)\n \n # Initialize dp arrays\n inc = [0] * n\n dec = [0] * n\n \n # Fill the dp arrays\n for i in range(n):\n inc[i] = arr[i]\n dec[i] = arr[i]\n for j in range(i):\n if arr[j] < arr[i]:\n inc[i] = max(inc[i], inc[j] + arr[i])\n if arr[j] > arr[i]:\n dec[i] = max(dec[i], dec[j] + arr[i])\n \n # Find the maximum sum of a bitonic subsequence\n max_sum = max(max(inc), max(dec))\n return max_sum", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 15, 51, 45, 33, 100, 12, 18, 9]]], "plus_fail_tests": [[[1, 9, 8, 7, 7, 5, 4, 4, 3, 3, 1, 6]]]}], "Mbpp/234": [{"task_id": "Mbpp/234", "solution": "def volume_cube(side_length):\n \"\"\"\n Calculate the volume of a cube given its side length.\n \n Parameters:\n side_length (float): The length of one side of the cube.\n \n Returns:\n float: The volume of the cube.\n \"\"\"\n return side_length ** 3", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/235": [{"task_id": "Mbpp/235", "solution": "def even_bit_set_number(n):\n \"\"\"\n This function sets all even bits of a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number with all even bits set.\n \"\"\"\n # Convert the number to binary and get its length\n binary_length = len(bin(n)[2:])\n \n # Create a mask with all even bits set\n mask = 0\n for i in range(binary_length):\n if i % 2 == 0:\n mask |= 1 << i\n \n # Apply the mask to the number\n result = n | mask\n \n return result", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[10]], "plus_fail_tests": [[999999999]]}], "Mbpp/240": [{"task_id": "Mbpp/240", "solution": "def replace_list(list1, list2):\n \"\"\"\n Replaces the last element of the first list with the elements of the second list.\n \n Parameters:\n list1 (list): The first list.\n list2 (list): The second list.\n \n Returns:\n list: The modified list.\n \"\"\"\n # Check if list1 is not empty\n if not list1:\n return list2\n \n # Replace the last element of list1 with list2\n list1[-1] = list2\n \n return list1", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 3, 5, 7, 9, 10], [2, 4, 6, 8]]], "plus_fail_tests": [[[1, 2, 3, 4], []]]}], "Mbpp/162": [{"task_id": "Mbpp/162", "solution": "def sum_series(n):\n \"\"\"\n Calculate the sum of the series (n - 2*i) from i=0 to n // 2.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The sum of the series.\n \"\"\"\n total = 0\n for i in range(n // 2 + 1):\n total += n - 2 * i\n return total", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/247": [{"task_id": "Mbpp/247", "solution": "def lps(s):\n \"\"\"\n Find the length of the longest palindromic subsequence in the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The length of the longest palindromic subsequence.\n \"\"\"\n n = len(s)\n dp = [[0] * n for _ in range(n)]\n \n # All substrings of length 1 are palindromes of length 1\n for i in range(n):\n dp[i][i] = 1\n \n # Check for palindromes of length 2\n for i in range(n - 1):\n if s[i] == s[i + 1]:\n dp[i][i + 1] = 2\n else:\n dp[i][i + 1] = 1\n \n # Check for palindromes of length 3 to n\n for length in range(3, n + 1):\n for i in range(n - length + 1):\n j = i + length - 1\n if s[i] == s[j]:\n dp[i][j] = dp[i + 1][j - 1] + 2\n else:\n dp[i][j] = max(dp[i + 1][j], dp[i][j - 1])\n \n return dp[0][n - 1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/250": [{"task_id": "Mbpp/250", "solution": "def count_X(tup, element):\n \"\"\"\n This function takes in a tuple and an element and counts the occurrences of the element in the tuple.\n \n Parameters:\n tup (tuple): The input tuple.\n element: The element to be counted.\n \n Returns:\n int: The number of occurrences of the element in the tuple.\n \"\"\"\n return tup.count(element)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/251": [{"task_id": "Mbpp/251", "solution": "def insert_element(lst, element):\n \"\"\"\n Inserts the given element before each element in the list and returns the resulting list.\n \n Parameters:\n lst (list): The input list.\n element: The element to be inserted before each element in the list.\n \n Returns:\n list: The resulting list with the element inserted before each element.\n \"\"\"\n result = []\n for item in lst:\n result.append(element)\n result.append(item)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/252": [{"task_id": "Mbpp/252", "solution": "import cmath\ndef convert(complex_number):\n \"\"\"\n Convert a complex number to polar coordinates.\n\n Parameters:\n complex_number (complex): The complex number to convert.\n\n Returns:\n tuple: A tuple containing the magnitude and angle of the polar coordinates.\n \"\"\"\n magnitude = abs(complex_number)\n angle = cmath.phase(complex_number)\n return (magnitude, angle)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/123": [{"task_id": "Mbpp/123", "solution": "def amicable_numbers_sum(n):\n \"\"\"\n Calculate the sum of all amicable numbers from 1 to n.\n \n An amicable number is a number that is equal to the sum of its proper divisors (excluding itself).\n For example, the proper divisors of 220 are 1, 2, 4, 5, 10, 11, 20, 22, 44, 55, and 110;\n the sum of these divisors is 284. The sum of the proper divisors of 284 is 220, which is the original number.\n \n Parameters:\n n (int): The upper limit of the range to check for amicable numbers.\n \n Returns:\n int: The sum of all amicable numbers from 1 to n.\n \"\"\"\n def sum_of_divisors(num):\n \"\"\"\n Calculate the sum of proper divisors of a given number.\n \n Parameters:\n num (int): The number to find the sum of proper divisors for.\n \n Returns:\n int: The sum of proper divisors of num.\n \"\"\"\n divisors_sum = 1 # 1 is always a divisor\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n divisors_sum += i\n if i != num // i:\n divisors_sum += num // i\n return divisors_sum\n \n amicable_sum = 0\n for i in range(1, n + 1):\n if i == sum_of_divisors(sum_of_divisors(i)) and i != sum_of_divisors(i):\n amicable_sum += i\n return amicable_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/253": [{"task_id": "Mbpp/253", "solution": "def count_integer(lst):\n \"\"\"\n Returns the number of integer elements in a given list.\n \n Parameters:\n lst (list): The input list.\n \n Returns:\n int: The number of integer elements in the list.\n \"\"\"\n return sum(1 for item in lst if isinstance(item, int))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/256": [{"task_id": "Mbpp/256", "solution": "def count_Primes_nums(n):\n \"\"\"\n This function takes in a non-negative number and returns the number of prime numbers less than the given non-negative number.\n \n Parameters:\n n (int): A non-negative integer.\n \n Returns:\n int: The number of prime numbers less than n.\n \"\"\"\n def is_prime(num):\n \"\"\"\n Helper function to check if a number is prime.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is prime, False otherwise.\n \"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n \n count = 0\n for i in range(2, n):\n if is_prime(i):\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/276": [{"task_id": "Mbpp/276", "solution": "import math\ndef volume_cylinder(radius, height):\n \"\"\"\n Calculate the volume of a cylinder given its radius and height.\n \n Parameters:\n radius (float): The radius of the cylinder.\n height (float): The height of the cylinder.\n \n Returns:\n float: The volume of the cylinder.\n \"\"\"\n return math.pi * radius**2 * height", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/257": [{"task_id": "Mbpp/257", "solution": "def swap_numbers(a, b):\n \"\"\"\n Swaps the positions of two numbers and returns a tuple with the second number first and the first number second.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n \n Returns:\n tuple: A tuple containing the second number first and the first number second.\n \n Example:\n >>> swap_numbers(10, 20)\n (20, 10)\n \"\"\"\n return b, a", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/261": [{"task_id": "Mbpp/261", "solution": "def division_elements(tuple1, tuple2):\n \"\"\"\n This function takes two tuples and performs element-wise division operation.\n \n Parameters:\n tuple1 (tuple): The first tuple of numbers.\n tuple2 (tuple): The second tuple of numbers.\n \n Returns:\n tuple: A tuple of results of element-wise division.\n \n Raises:\n ZeroDivisionError: If an element in tuple2 is zero.\n \"\"\"\n # Check if the tuples have the same length\n if len(tuple1) != len(tuple2):\n raise ValueError(\"Both tuples must have the same length\")\n \n # Perform element-wise division\n result = tuple(a / b for a, b in zip(tuple1, tuple2))\n \n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/268": [{"task_id": "Mbpp/268", "solution": "def find_star_num(n):\n \"\"\"\n Finds the n'th star number.\n \n A star number is defined as the sum of the first n natural numbers.\n \n Parameters:\n n (int): The position of the star number to find.\n \n Returns:\n int: The n'th star number.\n \"\"\"\n return n * (n + 1) // 2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[1000000]]}], "Mbpp/270": [{"task_id": "Mbpp/270", "solution": "def sum_even_and_even_index(numbers):\n \"\"\"\n This function takes a list of numbers and returns the sum of even numbers at even indices.\n \n :param numbers: List of integers\n :return: Sum of even numbers at even indices\n \"\"\"\n return sum(num for index, num in enumerate(numbers) if index % 2 == 0 and num % 2 == 0)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/273": [{"task_id": "Mbpp/273", "solution": "def substract_elements(tuple1, tuple2):\n \"\"\"\n Subtracts the elements of the first tuple by the elements of the second tuple with the same index.\n \n Parameters:\n tuple1 (tuple): The first tuple.\n tuple2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple with the result of the subtraction.\n \n Raises:\n ValueError: If the tuples are not of the same length.\n \"\"\"\n if len(tuple1) != len(tuple2):\n raise ValueError(\"Tuples must be of the same length\")\n \n result = []\n for a, b in zip(tuple1, tuple2):\n result.append(a - b)\n \n return tuple(result)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/265": [{"task_id": "Mbpp/265", "solution": "def list_split(lst, n):\n \"\"\"\n Splits a list into sublists every nth element.\n \n Parameters:\n lst (list): The list to be split.\n n (int): The number of elements to split the list by.\n \n Returns:\n list: A list of sublists, each containing n elements from the original list.\n \"\"\"\n return [lst[i:i + n] for i in range(0, len(lst), n)]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n"], 3]], "plus_fail_tests": [[[], 1]]}], "Mbpp/260": [{"task_id": "Mbpp/260", "solution": "def newman_prime(n):\n \"\"\"\n Find the nth newman\u2013shanks\u2013williams prime number.\n \n Parameters:\n n (int): The position of the prime number to find.\n \n Returns:\n int: The nth newman\u2013shanks\u2013williams prime number.\n \"\"\"\n def is_prime(num):\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n def newman_shanks_williams(num):\n \"\"\"Check if a number is a newman\u2013shanks\u2013williams prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, num):\n if num % i == 0:\n return False\n return True\n\n count = 0\n num = 2\n while True:\n if newman_shanks_williams(num):\n count += 1\n if count == n:\n return num\n num += 1", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[100]]}], "Mbpp/266": [{"task_id": "Mbpp/266", "solution": "def lateralsurface_cube(side_length):\n \"\"\"\n Calculate the lateral surface area of a cube given its side length.\n \n Parameters:\n side_length (float): The length of one side of the cube.\n \n Returns:\n float: The lateral surface area of the cube.\n \"\"\"\n if side_length <= 0:\n raise ValueError(\"Side length must be a positive number.\")\n return 4 * side_length ** 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/262": [{"task_id": "Mbpp/262", "solution": "def split_two_parts(lst, L):\n \"\"\"\n Splits the given list into two parts where the length of the first part is L.\n \n Parameters:\n lst (list): The input list to be split.\n L (int): The length of the first part of the list.\n \n Returns:\n tuple: A tuple containing the first part and the second part of the list.\n \"\"\"\n # Check if L is valid (non-negative and less than or equal to the length of the list)\n if L < 0 or L > len(lst):\n raise ValueError(\"L must be a non-negative integer and less than or equal to the length of the list\")\n \n # Split the list into two parts\n first_part = lst[:L]\n second_part = lst[L:]\n \n return (first_part, second_part)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/272": [{"task_id": "Mbpp/272", "solution": "def rear_extract(tuples_list):\n \"\"\"\n Extracts the rear element from each tuple in the list and returns a list of these rear elements.\n \n :param tuples_list: List of tuples, where each tuple has at least one element.\n :return: List of rear elements from each tuple.\n \"\"\"\n return [t[-1] for t in tuples_list]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/277": [{"task_id": "Mbpp/277", "solution": "def dict_filter(d, n):\n \"\"\"\n Filters a dictionary to include only entries with values greater than or equal to n.\n \n Parameters:\n d (dict): The input dictionary.\n n (int): The minimum value to filter by.\n \n Returns:\n dict: A new dictionary containing only the entries with values greater than or equal to n.\n \"\"\"\n return {key: value for key, value in d.items() if value >= n}", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/269": [{"task_id": "Mbpp/269", "solution": "def ascii_value(char):\n \"\"\"\n Returns the ASCII value of a given character.\n \n Parameters:\n char (str): A single character string.\n \n Returns:\n int: The ASCII value of the character.\n \n Raises:\n ValueError: If the input is not a single character string.\n \"\"\"\n if not isinstance(char, str) or len(char) != 1:\n raise ValueError(\"Input must be a single character string\")\n return ord(char)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/267": [{"task_id": "Mbpp/267", "solution": "def square_Sum(n):\n \"\"\"\n This function calculates the sum of the squares of the first n odd natural numbers.\n \n Parameters:\n n (int): The number of odd natural numbers to include in the sum.\n \n Returns:\n int: The sum of the squares of the first n odd natural numbers.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n odd natural numbers\n for i in range(1, 2 * n, 2):\n # Add the square of the current odd number to the total sum\n total_sum += i ** 2\n \n return total_sum", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[1000000.0]]}], "Mbpp/264": [{"task_id": "Mbpp/264", "solution": "def dog_age(human_age):\n \"\"\"\n Calculate a dog's age in dog's years.\n \n Parameters:\n human_age (int): The age of the dog in human years.\n \n Returns:\n int: The age of the dog in dog years.\n \"\"\"\n if human_age <= 2:\n return human_age * 10.5\n else:\n return 21 + (human_age - 2) * 4", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/259": [{"task_id": "Mbpp/259", "solution": "def maximize_elements(tuples1, tuples2):\n \"\"\"\n This function takes two tuples of tuples as input and returns a new tuple of tuples where each element is the maximum of the corresponding elements from the input tuples.\n \n :param tuples1: A tuple of tuples where each inner tuple contains two integers.\n :param tuples2: A tuple of tuples where each inner tuple contains two integers.\n :return: A tuple of tuples where each inner tuple contains the maximum of the corresponding elements from the input tuples.\n \"\"\"\n # Initialize an empty list to store the result\n result = []\n \n # Iterate over the tuples in parallel\n for tuple1, tuple2 in zip(tuples1, tuples2):\n # Extract the elements from each tuple\n element1, element2 = tuple1\n element3, element4 = tuple2\n \n # Find the maximum of the corresponding elements\n max_element1 = max(element1, element3)\n max_element2 = max(element2, element4)\n \n # Append the new tuple to the result list\n result.append((max_element1, max_element2))\n \n # Convert the result list to a tuple of tuples\n return tuple(result)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/274": [{"task_id": "Mbpp/274", "solution": "def even_binomial_Coeff_Sum(n):\n \"\"\"\n Calculate the sum of even index binomial coefficients for a given positive integer n.\n \n Parameters:\n n (int): A positive integer.\n \n Returns:\n int: The sum of even index binomial coefficients.\n \"\"\"\n # Initialize the sum of even index binomial coefficients\n even_sum = 0\n \n # Iterate over the range of binomial coefficients\n for k in range(n + 1):\n # Calculate the binomial coefficient using the formula\n binomial_coeff = binomial_coefficient(n, k)\n \n # Check if the index is even\n if k % 2 == 0:\n # Add the binomial coefficient to the sum\n even_sum += binomial_coeff\n \n return even_sum\ndef binomial_coefficient(n, k):\n \"\"\"\n Calculate the binomial coefficient (n choose k).\n \n Parameters:\n n (int): The total number of items.\n k (int): The number of items to choose.\n \n Returns:\n int: The binomial coefficient.\n \"\"\"\n # Calculate the binomial coefficient using the formula\n return factorial(n) // (factorial(k) * factorial(n - k))\ndef factorial(n):\n \"\"\"\n Calculate the factorial of a given number.\n \n Parameters:\n n (int): A non-negative integer.\n \n Returns:\n int: The factorial of n.\n \"\"\"\n # Initialize the factorial\n result = 1\n \n # Calculate the factorial\n for i in range(1, n + 1):\n result *= i\n \n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/278": [{"task_id": "Mbpp/278", "solution": "def count_first_elements(tup):\n \"\"\"\n Counts the number of elements that occur before the tuple element in the given tuple.\n \n Parameters:\n tup (tuple): The input tuple.\n \n Returns:\n int: The number of elements that occur before the tuple element.\n \"\"\"\n count = 0\n for element in tup:\n if isinstance(element, tuple):\n break\n count += 1\n return count", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[1, 2, 3, 4, 5, 6]]]}], "Mbpp/280": [{"task_id": "Mbpp/280", "solution": "def sequential_search(arr, element):\n \"\"\"\n Searches for an element in an array using sequential search.\n \n Parameters:\n arr (list): The input array to search in.\n element: The element to search for.\n \n Returns:\n tuple: A tuple containing a boolean indicating if the element is found and the index of the element (or -1 if not found).\n \"\"\"\n for i, item in enumerate(arr):\n if item == element:\n return (True, i)\n return (False, -1)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/286": [{"task_id": "Mbpp/286", "solution": "def max_sub_array_sum_repeated(arr, k, n):\n \"\"\"\n Finds the largest sum of a contiguous subarray in the modified array formed by repeating the given array k times.\n \n Parameters:\n arr (list): The input array.\n k (int): The number of times the array is repeated.\n n (int): The length of the array.\n \n Returns:\n int: The largest sum of a contiguous subarray.\n \"\"\"\n # Calculate the sum of the array\n total_sum = sum(arr)\n \n # Calculate the sum of the array repeated k times\n repeated_sum = total_sum * k\n \n # Calculate the maximum subarray sum using Kadane's algorithm\n max_sum = current_sum = repeated_sum\n for num in arr * k:\n current_sum = max(num, current_sum + num)\n max_sum = max(max_sum, current_sum)\n \n return max_sum", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[-1, 10, 20], 3, 2]], "plus_fail_tests": [[[5, -2, 10, 4, -7, 3], 6, 5]]}], "Mbpp/284": [{"task_id": "Mbpp/284", "solution": "def check_element(lst, element):\n \"\"\"\n Checks if all elements in the list are equal to the given element.\n \n Parameters:\n lst (list): The list to be checked.\n element: The element to compare with.\n \n Returns:\n bool: True if all elements are equal to the given element, False otherwise.\n \"\"\"\n return all(item == element for item in lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/283": [{"task_id": "Mbpp/283", "solution": "def validate(n):\n \"\"\"\n Check if the frequency of each digit in the integer is less than or equal to the digit itself.\n \n Parameters:\n n (int): The input integer.\n \n Returns:\n bool: True if the condition is met, False otherwise.\n \"\"\"\n # Convert the integer to a string to easily iterate over each digit\n str_n = str(n)\n \n # Create a dictionary to store the frequency of each digit\n digit_freq = {}\n \n # Count the frequency of each digit\n for digit in str_n:\n if digit in digit_freq:\n digit_freq[digit] += 1\n else:\n digit_freq[digit] = 1\n \n # Check if the frequency of each digit is less than or equal to the digit itself\n for digit, freq in digit_freq.items():\n if int(digit) < freq:\n return False\n \n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/281": [{"task_id": "Mbpp/281", "solution": "def all_unique(lst):\n \"\"\"\n Checks if all elements in the given list are unique.\n \n Parameters:\n lst (list): The list to check for uniqueness.\n \n Returns:\n bool: True if all elements are unique, False otherwise.\n \"\"\"\n return len(lst) == len(set(lst))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/282": [{"task_id": "Mbpp/282", "solution": "def sub_list(list1, list2):\n \"\"\"\n Subtracts two lists element-wise.\n \n Parameters:\n list1 (list): The first list to be subtracted.\n list2 (list): The second list to be subtracted.\n \n Returns:\n list: A list containing the result of subtracting list2 from list1 element-wise.\n \n Raises:\n ValueError: If the input lists are not of the same length.\n \"\"\"\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must be of the same length.\")\n return [a - b for a, b in zip(list1, list2)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/285": [{"task_id": "Mbpp/285", "solution": "import re\ndef text_match_two_three(text):\n \"\"\"\n Checks if the string contains the 'a' character followed by two or three 'b' characters.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the pattern is found, False otherwise.\n \"\"\"\n # Define the regular expression pattern\n pattern = r'ab{2,3}'\n \n # Use the re.search function to find the pattern in the text\n match = re.search(pattern, text)\n \n # Return True if the pattern is found, False otherwise\n return bool(match)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/279": [{"task_id": "Mbpp/279", "solution": "def is_num_decagonal(n):\n \"\"\"\n Calculate the nth decagonal number.\n \n Parameters:\n n (int): The position of the decagonal number to calculate.\n \n Returns:\n int: The nth decagonal number.\n \"\"\"\n return n * (7 * n - 5) // 2", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[1000000]]}], "Mbpp/294": [{"task_id": "Mbpp/294", "solution": "def max_val(lst):\n \"\"\"\n Finds the maximum value in a given heterogeneous list.\n \n Parameters:\n lst (list): A list containing integers and/or strings.\n \n Returns:\n int: The maximum value in the list.\n \n Raises:\n ValueError: If the list is empty or contains no numeric values.\n \"\"\"\n # Filter out non-numeric values and find the maximum\n numeric_values = [x for x in lst if isinstance(x, (int, float))]\n if not numeric_values:\n raise ValueError(\"The list is empty or contains no numeric values.\")\n return max(numeric_values)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[["3.14", false, 7.5]]]}], "Mbpp/293": [{"task_id": "Mbpp/293", "solution": "import math\ndef otherside_rightangle(a, b):\n \"\"\"\n Calculate the third side of a right-angled triangle given two sides.\n \n Parameters:\n a (float): The length of the first side.\n b (float): The length of the second side.\n \n Returns:\n float: The length of the third side.\n \"\"\"\n # Calculate the third side using the Pythagorean theorem\n c = math.sqrt(a**2 + b**2)\n return c", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/296": [{"task_id": "Mbpp/296", "solution": "def get_Inv_Count(arr):\n \"\"\"\n Counts the number of inversions in an array.\n \n An inversion is defined as a pair (i, j) where i < j and arr[i] > arr[j].\n \n Parameters:\n arr (list): The input array.\n \n Returns:\n int: The number of inversions in the array.\n \"\"\"\n def merge_and_count(left, right):\n \"\"\"\n Merges two sorted arrays and counts the number of inversions.\n \n Parameters:\n left (list): The left sorted array.\n right (list): The right sorted array.\n \n Returns:\n tuple: A tuple containing the merged array and the number of inversions.\n \"\"\"\n i = j = inv_count = 0\n merged = []\n while i < len(left) and j < len(right):\n if left[i] <= right[j]:\n merged.append(left[i])\n i += 1\n else:\n merged.append(right[j])\n inv_count += len(left) - i\n j += 1\n merged.extend(left[i:])\n merged.extend(right[j:])\n return merged, inv_count\n\n def merge_sort_and_count(arr):\n \"\"\"\n Sorts the array and counts the number of inversions using merge sort.\n \n Parameters:\n arr (list): The input array.\n \n Returns:\n tuple: A tuple containing the sorted array and the number of inversions.\n \"\"\"\n if len(arr) <= 1:\n return arr, 0\n mid = len(arr) // 2\n left, left_inv = merge_sort_and_count(arr[:mid])\n right, right_inv = merge_sort_and_count(arr[mid:])\n merged, split_inv = merge_and_count(left, right)\n return merged, left_inv + right_inv + split_inv\n\n _, inversions = merge_sort_and_count(arr)\n return inversions", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/300": [{"task_id": "Mbpp/300", "solution": "import math", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/297": [{"task_id": "Mbpp/297", "solution": "def flatten_list(nested_list):\n \"\"\"\n Flattens a given nested list structure.\n \n Parameters:\n nested_list (list): A list containing integers and/or other nested lists.\n \n Returns:\n list: A flattened list containing all integers from the input list.\n \"\"\"\n flat_list = []\n for item in nested_list:\n if isinstance(item, list):\n flat_list.extend(flatten_list(item))\n else:\n flat_list.append(item)\n return flat_list", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/299": [{"task_id": "Mbpp/299", "solution": "def max_aggregate(tuples_list):\n \"\"\"\n Calculate the maximum aggregate from the list of tuples.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains a name and a number.\n \n Returns:\n tuple: A tuple containing the name with the maximum aggregate and the maximum aggregate value.\n \"\"\"\n # Initialize a dictionary to store the aggregates\n aggregates = {}\n \n # Iterate over the list of tuples\n for name, number in tuples_list:\n # If the name is already in the dictionary, add the number to its aggregate\n if name in aggregates:\n aggregates[name] += number\n # If the name is not in the dictionary, add it with the number as its aggregate\n else:\n aggregates[name] = number\n \n # Find the name with the maximum aggregate\n max_name = max(aggregates, key=aggregates.get)\n \n # Return the name and its maximum aggregate\n return (max_name, aggregates[max_name])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/292": [{"task_id": "Mbpp/292", "solution": "def find(a, b):\n \"\"\"\n This function takes two integers a and b as input and returns the quotient of a divided by b, rounded down to the nearest integer.\n \n Parameters:\n a (int): The dividend.\n b (int): The divisor.\n \n Returns:\n int: The quotient of a divided by b, rounded down to the nearest integer.\n \n Raises:\n ValueError: If b is zero, as division by zero is undefined.\n \"\"\"\n if b == 0:\n raise ValueError(\"Division by zero is undefined\")\n return a // b", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/290": [{"task_id": "Mbpp/290", "solution": "def max_length(lst):\n \"\"\"\n Finds the list of maximum length in a list of lists.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n tuple: A tuple containing the maximum length and the list with the maximum length.\n \"\"\"\n if not lst:\n return 0, []\n \n max_len = max(len(sublist) for sublist in lst)\n max_list = [sublist for sublist in lst if len(sublist) == max_len]\n \n return max_len, max_list[0] if max_list else []", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/287": [{"task_id": "Mbpp/287", "solution": "def square_Sum(n):\n \"\"\"\n This function takes an integer n and returns the sum of squares of the first n even natural numbers.\n \n Parameters:\n n (int): The number of even natural numbers to consider.\n \n Returns:\n int: The sum of squares of the first n even natural numbers.\n \"\"\"\n # Initialize the sum of squares\n sum_of_squares = 0\n \n # Iterate over the first n even natural numbers\n for i in range(2, 2 * n + 1, 2):\n # Add the square of the current number to the sum\n sum_of_squares += i ** 2\n \n return sum_of_squares", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[1000000]]}], "Mbpp/301": [{"task_id": "Mbpp/301", "solution": "def dict_depth(d):\n \"\"\"\n Recursively calculates the depth of a dictionary.\n \n Parameters:\n d (dict): The dictionary to calculate the depth of.\n \n Returns:\n int: The depth of the dictionary.\n \"\"\"\n if not isinstance(d, dict):\n return 0\n if not d:\n return 1\n return 1 + max(dict_depth(v) for v in d.values())", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/305": [{"task_id": "Mbpp/305", "solution": "def start_withp(words):\n \"\"\"\n Returns two words from a list of words starting with letter 'p'.\n \n Parameters:\n words (list): A list of strings, where each string can contain multiple words.\n \n Returns:\n tuple: A tuple containing two words starting with 'p'.\n \n Raises:\n ValueError: If there are less than two words starting with 'p'.\n \"\"\"\n p_words = [word for word in words if word.startswith('p')]\n if len(p_words) < 2:\n raise ValueError(\"There are less than two words starting with 'p'.\")\n return tuple(p_words[:2])", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["Python PHP", "Java JavaScript", "c c++"]]], "plus_fail_tests": [[["Python Programming", "Java Programming", "Perl Programming", "Ruby Programming", "PHP Programming", "C Programming"]]]}], "Mbpp/310": [{"task_id": "Mbpp/310", "solution": "def string_to_tuple(s):\n \"\"\"\n Convert a given string to a tuple of characters.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n tuple: A tuple of characters from the input string.\n \n Example:\n >>> string_to_tuple(\"python 3.0\")\n ('p', 'y', 't', 'h', 'o', 'n', '3', '.', '0')\n \"\"\"\n return tuple(s)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["python 3.0"]], "plus_fail_tests": [["hello world"]]}], "Mbpp/311": [{"task_id": "Mbpp/311", "solution": "def set_left_most_unset_bit(n):\n \"\"\"\n This function sets the left most unset bit in the binary representation of a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number with the left most unset bit set.\n \"\"\"\n # Convert the number to binary and remove the '0b' prefix\n binary_str = bin(n)[2:]\n \n # Find the index of the left most unset bit\n for i, bit in enumerate(binary_str):\n if bit == '0':\n # Set the left most unset bit and convert back to integer\n binary_str = binary_str[:i] + '1' + binary_str[i+1:]\n return int(binary_str, 2)\n \n # If no unset bit is found, set the left most bit\n return int(binary_str, 2) + 2**(len(binary_str))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[15]], "plus_fail_tests": [[255]]}], "Mbpp/389": [{"task_id": "Mbpp/389", "solution": "def find_lucas(n):\n \"\"\"\n Find the n'th Lucas number.\n \n The Lucas sequence is similar to the Fibonacci sequence but starts with 2 and 1 instead of 0 and 1.\n \n Parameters:\n n (int): The position of the Lucas number to find.\n \n Returns:\n int: The n'th Lucas number.\n \"\"\"\n if n == 0:\n return 2\n elif n == 1:\n return 1\n else:\n a, b = 2, 1\n for _ in range(2, n + 1):\n a, b = b, a + b\n return b", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/306": [{"task_id": "Mbpp/306", "solution": "def max_sum_increasing_subseq(arr, n, k, i):\n \"\"\"\n Find the maximum sum of increasing subsequence from prefix until ith index and also including a given kth element which is after i, i.e., k > i .\n \n Parameters:\n arr (list): The input list of integers.\n n (int): The length of the input list.\n k (int): The index of the element to include in the subsequence.\n i (int): The index up to which the subsequence should be considered.\n \n Returns:\n int: The maximum sum of the increasing subsequence.\n \"\"\"\n # Initialize the maximum sum to 0\n max_sum = 0\n \n # Initialize the current sum to 0\n current_sum = 0\n \n # Iterate over the array up to the given index i\n for j in range(i + 1):\n # If the current element is greater than the previous element, add it to the current sum\n if j == 0 or (j > 0 and arr[j] > arr[j - 1]):\n current_sum += arr[j]\n # If the current element is equal to the previous element, reset the current sum\n else:\n current_sum = arr[j]\n \n # Update the maximum sum if the current sum is greater\n max_sum = max(max_sum, current_sum)\n \n # Add the kth element to the maximum sum\n max_sum += arr[k]\n \n return max_sum", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 101, 2, 3, 100, 4, 5], 7, 4, 6]], "plus_fail_tests": [[[5, 2, 4, 1, 3, 6], 6, 1, 3]]}], "Mbpp/397": [{"task_id": "Mbpp/397", "solution": "def median_numbers(a, b, c):\n \"\"\"\n This function takes three numbers as input and returns their median.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n c (int or float): The third number.\n \n Returns:\n float: The median of the three numbers.\n \"\"\"\n # Sort the numbers in ascending order\n sorted_numbers = sorted([a, b, c])\n \n # The median is the middle number in the sorted list\n return sorted_numbers[1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/309": [{"task_id": "Mbpp/309", "solution": "def maximum(a, b):\n \"\"\"\n This function takes two numbers as input and returns the maximum of the two.\n \n Parameters:\n a (int): The first number.\n b (int): The second number.\n \n Returns:\n int: The maximum of the two numbers.\n \"\"\"\n if a > b:\n return a\n else:\n return b", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/308": [{"task_id": "Mbpp/308", "solution": "def large_product(list1, list2, n):\n \"\"\"\n This function takes two lists of integers and an integer n, and returns a list of the n largest products of one element from each list.\n \n Parameters:\n list1 (list): The first list of integers.\n list2 (list): The second list of integers.\n n (int): The number of largest products to return.\n \n Returns:\n list: A list of the n largest products of one element from each list.\n \"\"\"\n # Initialize an empty list to store the products\n products = []\n \n # Iterate over each element in the first list\n for num1 in list1:\n # Iterate over each element in the second list\n for num2 in list2:\n # Calculate the product and append it to the products list\n products.append(num1 * num2)\n \n # Sort the products list in descending order\n products.sort(reverse=True)\n \n # Return the first n elements of the sorted list\n return products[:n]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/312": [{"task_id": "Mbpp/312", "solution": "import math\ndef volume_cone(radius, height):\n \"\"\"\n Calculate the volume of a cone given its radius and height.\n \n Parameters:\n radius (float): The radius of the cone.\n height (float): The height of the cone.\n \n Returns:\n float: The volume of the cone.\n \"\"\"\n return (1/3) * math.pi * radius**2 * height", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/390": [{"task_id": "Mbpp/390", "solution": "def add_string(lst, fmt_str):\n \"\"\"\n Applies a given format string to all elements in a list.\n \n Parameters:\n lst (list): The list of elements to be formatted.\n fmt_str (str): The format string to be applied.\n \n Returns:\n list: A new list with the format string applied to each element.\n \"\"\"\n return [fmt_str.format(x) for x in lst]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/395": [{"task_id": "Mbpp/395", "solution": "def first_non_repeating_character(s):\n \"\"\"\n Finds the first non-repeated character in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The first non-repeated character, or None if no such character exists.\n \"\"\"\n # Create a dictionary to store character counts\n char_count = {}\n \n # Iterate over each character in the string\n for char in s:\n # If the character is already in the dictionary, increment its count\n if char in char_count:\n char_count[char] += 1\n # Otherwise, add the character to the dictionary with a count of 1\n else:\n char_count[char] = 1\n \n # Iterate over each character in the string again\n for char in s:\n # If the count of the character is 1, it is the first non-repeated character\n if char_count[char] == 1:\n return char\n \n # If no non-repeated character is found, return None\n return None", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/388": [{"task_id": "Mbpp/388", "solution": "def highest_Power_of_2(n):\n \"\"\"\n This function finds the highest power of 2 that is less than or equal to n.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The highest power of 2 that is less than or equal to n.\n \"\"\"\n # Initialize the result to 1\n result = 1\n \n # Loop until the result is greater than n\n while result <= n:\n # Double the result to find the next power of 2\n result *= 2\n \n # Return the result divided by 2 to get the highest power of 2\n return result // 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/391": [{"task_id": "Mbpp/391", "solution": "def convert_list_dictionary(keys, names, values):\n \"\"\"\n Convert multiple lists into a nested dictionary.\n \n Parameters:\n keys (list): List of keys.\n names (list): List of names.\n values (list): List of values.\n \n Returns:\n list: A list of dictionaries with keys and values.\n \"\"\"\n result = []\n for key, name, value in zip(keys, names, values):\n result.append({key: {name: value}})\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/394": [{"task_id": "Mbpp/394", "solution": "def check_distinct(tup):\n \"\"\"\n Checks if all elements in the given tuple are distinct.\n \n Args:\n tup (tuple): The input tuple to check.\n \n Returns:\n bool: True if all elements are distinct, False otherwise.\n \"\"\"\n return len(tup) == len(set(tup))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/398": [{"task_id": "Mbpp/398", "solution": "def sum_of_digits(numbers):\n \"\"\"\n Compute the sum of digits of each number in a given list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n list: A list of sums of digits for each number in the input list.\n \"\"\"\n def sum_of_digits_single(number):\n \"\"\"\n Compute the sum of digits of a single number.\n \n Parameters:\n number (int): A single integer.\n \n Returns:\n int: The sum of digits of the input number.\n \"\"\"\n return sum(int(digit) for digit in str(number))\n \n return [sum_of_digits_single(num) for num in numbers]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[10, 2, 56]]], "plus_fail_tests": [[[]]]}], "Mbpp/404": [{"task_id": "Mbpp/404", "solution": "def minimum(a, b):\n \"\"\"\n Returns the minimum of two numbers.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n \n Returns:\n int or float: The minimum of the two numbers.\n \"\"\"\n return a if a < b else b", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/405": [{"task_id": "Mbpp/405", "solution": "def check_tuplex(tuplex, element):\n \"\"\"\n Checks if an element exists within a tuple.\n\n Args:\n tuplex (tuple): The tuple to search in.\n element: The element to search for.\n\n Returns:\n bool: True if the element is found, False otherwise.\n \"\"\"\n return element in tuplex", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/406": [{"task_id": "Mbpp/406", "solution": "def find_Parity(num):\n \"\"\"\n This function checks if the parity of a given number is odd.\n \n Parameters:\n num (int): The number to check for odd parity.\n \n Returns:\n bool: True if the parity is odd, False otherwise.\n \"\"\"\n return num % 2 != 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/409": [{"task_id": "Mbpp/409", "solution": "def min_product_tuple(tuples_list):\n \"\"\"\n Finds the minimum product from the pairs of tuples within a given list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n int: The minimum product of the pairs of tuples.\n \"\"\"\n # Initialize the minimum product to a large number\n min_product = float('inf')\n \n # Iterate over each tuple in the list\n for tup in tuples_list:\n # Calculate the product of the current tuple\n product = tup[0] * tup[1]\n # Update the minimum product if the current product is smaller\n if product < min_product:\n min_product = product\n \n return min_product", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/412": [{"task_id": "Mbpp/412", "solution": "def remove_odd(numbers):\n \"\"\"\n Removes odd numbers from a given list.\n\n Args:\n numbers (list): A list of integers.\n\n Returns:\n list: A list with odd numbers removed.\n \"\"\"\n return [num for num in numbers if num % 2 == 0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/420": [{"task_id": "Mbpp/420", "solution": "def cube_Sum(n):\n \"\"\"\n Calculate the cube sum of the first n even natural numbers.\n \n Parameters:\n n (int): The number of even natural numbers to include in the sum.\n \n Returns:\n int: The cube sum of the first n even natural numbers.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n even natural numbers\n for i in range(2, 2 * n + 1, 2):\n # Add the cube of the current number to the sum\n total_sum += i ** 3\n \n return total_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/410": [{"task_id": "Mbpp/410", "solution": "def min_val(lst):\n \"\"\"\n Finds the minimum value in a given heterogeneous list.\n \n Parameters:\n lst (list): A list containing heterogeneous elements.\n \n Returns:\n int or str: The minimum value in the list.\n \n Raises:\n TypeError: If the list is empty or contains non-numeric values.\n \"\"\"\n if not lst:\n raise TypeError(\"The list is empty.\")\n \n min_value = None\n for item in lst:\n if isinstance(item, (int, float)):\n if min_value is None or item < min_value:\n min_value = item\n elif isinstance(item, str):\n if min_value is None or item < min_value:\n min_value = item\n else:\n raise TypeError(\"The list contains non-numeric values.\")\n \n if min_value is None:\n raise TypeError(\"The list contains non-numeric values.\")\n \n return min_value", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["Python", 3, 2, 4, 5, "version"]]], "plus_fail_tests": [[["Python", 10, 5, 2.5, 2.5, "version"]]]}], "Mbpp/413": [{"task_id": "Mbpp/413", "solution": "def extract_nth_element(tuples_list, n):\n \"\"\"\n Extracts the nth element from a list of tuples.\n \n Parameters:\n tuples_list (list): A list of tuples.\n n (int): The index of the element to extract.\n \n Returns:\n list: A list containing the nth element from each tuple.\n \"\"\"\n return [t[n] for t in tuples_list]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/418": [{"task_id": "Mbpp/418", "solution": "def find_max_length(lst):\n \"\"\"\n Finds the element of a list with the maximum length.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n list: The list with the maximum length.\n \n Raises:\n ValueError: If the input list is empty.\n \"\"\"\n if not lst:\n raise ValueError(\"Input list cannot be empty\")\n \n # Find the maximum length of the sublists\n max_length = max(len(sublist) for sublist in lst)\n \n # Find the sublist with the maximum length\n max_sublist = [sublist for sublist in lst if len(sublist) == max_length]\n \n # Return the first sublist with the maximum length (assuming there is only one)\n return max_sublist[0]\n\n# Test the function\nassert find_max_length([['A'], ['A', 'B'], ['A', 'B', 'C']]) == ['A', 'B', 'C']", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/419": [{"task_id": "Mbpp/419", "solution": "def round_and_sum(numbers):\n \"\"\"\n Rounds each number in the given list and returns the sum multiplied by the length of the list.\n \n Parameters:\n numbers (list): A list of floating-point numbers.\n \n Returns:\n int: The sum of the rounded numbers multiplied by the length of the list.\n \"\"\"\n # Round each number in the list\n rounded_numbers = [round(num) for num in numbers]\n \n # Calculate the sum of the rounded numbers\n total_sum = sum(rounded_numbers)\n \n # Multiply the sum by the length of the list\n result = total_sum * len(numbers)\n \n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/426": [{"task_id": "Mbpp/426", "solution": "def filter_oddnumbers(numbers):\n \"\"\"\n This function filters out the odd numbers from a list of numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n list: A list of odd numbers from the input list.\n \"\"\"\n return [num for num in numbers if num % 2 != 0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/414": [{"task_id": "Mbpp/414", "solution": "def overlapping(seq1, seq2):\n \"\"\"\n Checks if any value in the first sequence exists in the second sequence.\n \n Parameters:\n seq1 (list): The first sequence to check.\n seq2 (list): The second sequence to check.\n \n Returns:\n bool: True if any value in seq1 exists in seq2, False otherwise.\n \"\"\"\n return any(item in seq2 for item in seq1)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/415": [{"task_id": "Mbpp/415", "solution": "def max_Product(arr):\n \"\"\"\n Finds a pair with the highest product from a given array of integers.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n tuple: A tuple containing the two integers with the highest product.\n \n Raises:\n ValueError: If the input list has less than two elements.\n \"\"\"\n if len(arr) < 2:\n raise ValueError(\"Input list must have at least two elements\")\n \n # Initialize the maximum product and the pair of numbers\n max_product = float('-inf')\n result = (None, None)\n \n # Iterate over all possible pairs of numbers\n for i in range(len(arr)):\n for j in range(i + 1, len(arr)):\n product = arr[i] * arr[j]\n if product > max_product:\n max_product = product\n result = (arr[i], arr[j])\n \n return result", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[1000000, 2000000, 3000000, 4000000, 4000000]]]}], "Mbpp/424": [{"task_id": "Mbpp/424", "solution": "def extract_rear(tup):\n \"\"\"\n Extracts the rear index element of each string in the given tuple.\n \n Parameters:\n tup (tuple): A tuple of strings.\n \n Returns:\n list: A list of rear index elements of the strings in the tuple.\n \"\"\"\n return [s[-1] for s in tup]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/421": [{"task_id": "Mbpp/421", "solution": "def concatenate_tuple(tup, delimiter='-'):\n \"\"\"\n Concatenate each element of a tuple into a single string separated by a delimiter.\n \n Parameters:\n tup (tuple): The input tuple to be concatenated.\n delimiter (str, optional): The delimiter to use between elements. Defaults to '-'.\n \n Returns:\n str: The concatenated string.\n \"\"\"\n return delimiter.join(map(str, tup))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/425": [{"task_id": "Mbpp/425", "solution": "def count_element_in_list(lst, element):\n \"\"\"\n Counts the number of sublists in a list that contain a specific element.\n \n Parameters:\n lst (list): The list of sublists to search through.\n element: The element to search for in the sublists.\n \n Returns:\n int: The number of sublists containing the specified element.\n \"\"\"\n count = 0\n for sublist in lst:\n if element in sublist:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/422": [{"task_id": "Mbpp/422", "solution": "def find_Average_Of_Cube(n):\n \"\"\"\n This function calculates the average of cubes of the first n natural numbers.\n \n Parameters:\n n (int): The number of natural numbers to consider.\n \n Returns:\n float: The average of cubes of the first n natural numbers.\n \"\"\"\n # Calculate the sum of cubes of the first n natural numbers\n sum_of_cubes = sum(i**3 for i in range(1, n + 1))\n \n # Calculate the average of cubes\n average_of_cubes = sum_of_cubes / n\n \n return average_of_cubes", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/427": [{"task_id": "Mbpp/427", "solution": "def change_date_format(date_str):\n \"\"\"\n Converts a date of yyyy-mm-dd format to dd-mm-yyyy format.\n \n Parameters:\n date_str (str): A string representing a date in yyyy-mm-dd format.\n \n Returns:\n str: A string representing the same date in dd-mm-yyyy format.\n \n Example:\n >>> change_date_format(\"2026-01-02\")\n '02-01-2026'\n \"\"\"\n # Split the input string into year, month, and day\n year, month, day = date_str.split('-')\n \n # Return the date in dd-mm-yyyy format\n return f\"{day}-{month}-{year}\"", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["2021-1-026"]]}], "Mbpp/429": [{"task_id": "Mbpp/429", "solution": "def and_tuples(t1, t2):\n \"\"\"\n Extracts the elementwise and tuples from the given two tuples.\n \n Parameters:\n t1 (tuple): The first tuple.\n t2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple containing the elementwise and of the two input tuples.\n \n Example:\n >>> and_tuples((10, 4, 6, 9), (5, 2, 3, 3))\n (0, 0, 2, 1)\n \"\"\"\n return tuple(a & b for a, b in zip(t1, t2))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/430": [{"task_id": "Mbpp/430", "solution": "def parabola_directrix(a, b, c):\n \"\"\"\n Calculate the directrix of a parabola given its coefficients a, b, and c.\n \n Parameters:\n a (float): Coefficient of x^2\n b (float): Coefficient of x\n c (float): Constant term\n \n Returns:\n float: The directrix of the parabola\n \"\"\"\n # Calculate the directrix using the formula: x = -b / (2*a)\n directrix = -b / (2 * a)\n return directrix", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[5, 3, 2]], "plus_fail_tests": [[0, 0, 0]]}], "Mbpp/428": [{"task_id": "Mbpp/428", "solution": "def shell_sort(arr):\n \"\"\"\n Sorts the given array using shell sort.\n \n Parameters:\n arr (list): The input array to be sorted.\n \n Returns:\n list: The sorted array.\n \"\"\"\n n = len(arr)\n gap = n // 2\n \n # Start with a big gap, then reduce the gap\n while gap > 0:\n # Do a gapped insertion sort for this gap size.\n for i in range(gap, n):\n temp = arr[i]\n j = i\n # Shift earlier gap-sorted elements up until the correct location for temp is found\n while j >= gap and arr[j - gap] > temp:\n arr[j] = arr[j - gap]\n j -= gap\n # Put temp (the original arr[i]) in its correct location\n arr[j] = temp\n # Reduce the gap for the next iteration\n gap //= 2\n \n return arr", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/435": [{"task_id": "Mbpp/435", "solution": "def last_digit(number):\n \"\"\"\n Returns the last digit of a given number.\n \n Parameters:\n number (int): The number from which the last digit is to be extracted.\n \n Returns:\n int: The last digit of the given number.\n \"\"\"\n return number % 10\n\n# Test cases\nassert last_digit(123) == 3\nassert last_digit(100) == 0\nassert last_digit(-123) == 3\nassert last_digit(0) == 0", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/437": [{"task_id": "Mbpp/437", "solution": "def remove_odd(s):\n \"\"\"\n Remove odd characters from a string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with odd characters removed.\n \"\"\"\n return ''.join([s[i] for i in range(len(s)) if i % 2 == 0])", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["python"]], "plus_fail_tests": [["Hello, world!"]]}], "Mbpp/436": [{"task_id": "Mbpp/436", "solution": "def neg_nos(numbers):\n \"\"\"\n Returns a list of negative numbers from the input list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n list: A list of negative integers from the input list.\n \"\"\"\n return [num for num in numbers if num < 0]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/433": [{"task_id": "Mbpp/433", "solution": "def check_greater(arr, num):\n \"\"\"\n Checks if the given number is greater than all elements in the array.\n \n Parameters:\n arr (list): The list of numbers to check.\n num (int): The number to compare with the elements of the array.\n \n Returns:\n bool: True if the number is greater than all elements, False otherwise.\n \"\"\"\n return all(x > num for x in arr)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[2, 3, 4, 5, 6], 8]], "plus_fail_tests": [[[1, 2, 3, 4, 5], 6]]}], "Mbpp/432": [{"task_id": "Mbpp/432", "solution": "def median_trapezium(a, b, c):\n \"\"\"\n Calculate the median length of a trapezium.\n\n Parameters:\n a (float): The length of the first side of the trapezium.\n b (float): The length of the second side of the trapezium.\n c (float): The length of the third side of the trapezium.\n\n Returns:\n float: The median length of the trapezium.\n \"\"\"\n # Calculate the median length using the formula for the median of a trapezium\n median_length = (a + b + c) / 3\n return median_length", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[15, 25, 35]], "plus_fail_tests": [[2.3, 4.7, 3.9]]}], "Mbpp/450": [{"task_id": "Mbpp/450", "solution": "def extract_string(strings, size):\n \"\"\"\n Extracts strings from a given list of strings that have a specified size.\n \n Parameters:\n strings (list): A list of strings.\n size (int): The size of the strings to extract.\n \n Returns:\n list: A list of strings with the specified size.\n \"\"\"\n return [s for s in strings if len(s) == size]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/447": [{"task_id": "Mbpp/447", "solution": "def cube_nums(nums):\n \"\"\"\n This function takes a list of numbers and returns a new list with each number cubed.\n \n :param nums: List of numbers to be cubed.\n :return: List of cubed numbers.\n \"\"\"\n return [num ** 3 for num in nums]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/446": [{"task_id": "Mbpp/446", "solution": "def count_Occurrence(tuple_input, list_input):\n \"\"\"\n This function counts the occurrence of all elements of a list in a tuple.\n \n Parameters:\n tuple_input (tuple): The input tuple.\n list_input (list): The list of elements to count.\n \n Returns:\n int: The total count of occurrences of the elements in the list.\n \"\"\"\n count = 0\n for element in list_input:\n count += tuple_input.count(element)\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/441": [{"task_id": "Mbpp/441", "solution": "def surfacearea_cube(side_length):\n \"\"\"\n Calculate the surface area of a cube given its side length.\n \n Parameters:\n side_length (int): The length of one side of the cube.\n \n Returns:\n int: The surface area of the cube.\n \"\"\"\n # Calculate the surface area of a cube using the formula: 6 * side_length^2\n surface_area = 6 * side_length ** 2\n return surface_area", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/448": [{"task_id": "Mbpp/448", "solution": "def cal_sum(n):\n \"\"\"\n Calculate the sum of the first n Perrin numbers.\n \n The Perrin sequence is defined as:\n P(0) = 3, P(1) = 0, P(2) = 2\n P(n) = P(n-2) + P(n-3) for n > 2\n \n Parameters:\n n (int): The number of Perrin numbers to sum.\n \n Returns:\n int: The sum of the first n Perrin numbers.\n \"\"\"\n if n == 0:\n return 3\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n else:\n perrin = [3, 0, 2]\n for i in range(3, n):\n perrin.append(perrin[-1] + perrin[-2])\n return sum(perrin)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[9]], "plus_fail_tests": [[true]]}], "Mbpp/445": [{"task_id": "Mbpp/445", "solution": "def index_multiplication(tup1, tup2):\n \"\"\"\n Perform index wise multiplication of tuple elements in the given two tuples.\n \n Parameters:\n tup1 (tuple): The first tuple.\n tup2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple of tuples with index wise multiplication of elements.\n \"\"\"\n # Initialize an empty list to store the result\n result = []\n \n # Iterate over the tuples\n for i in range(len(tup1)):\n # Initialize an empty list for the current tuple\n current_tuple = []\n \n # Iterate over the elements of the current tuple\n for j in range(len(tup1[i])):\n # Multiply the elements at the current index and append to the current tuple\n current_tuple.append(tup1[i][j] * tup2[i][j])\n \n # Append the current tuple to the result\n result.append(tuple(current_tuple))\n \n # Return the result as a tuple of tuples\n return tuple(result)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[[1, 2], [3, 4], [5, 6]], [[7, 8], [9, 10]]]]}], "Mbpp/439": [{"task_id": "Mbpp/439", "solution": "def multiple_to_single(numbers):\n \"\"\"\n Joins a list of multiple integers into a single integer.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: A single integer formed by joining the input list of integers.\n \"\"\"\n return int(''.join(map(str, numbers)))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/440": [{"task_id": "Mbpp/440", "solution": "import re", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/451": [{"task_id": "Mbpp/451", "solution": "def remove_whitespaces(input_string):\n \"\"\"\n Removes all whitespaces from the given string.\n \n Parameters:\n input_string (str): The input string from which whitespaces are to be removed.\n \n Returns:\n str: The input string with all whitespaces removed.\n \"\"\"\n return input_string.replace(' ', '')", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/454": [{"task_id": "Mbpp/454", "solution": "import re\ndef text_match_wordz(text):\n \"\"\"\n This function checks if a given text contains the word 'z'.\n \n Parameters:\n text (str): The input text to be checked.\n \n Returns:\n bool: True if the text contains the word 'z', False otherwise.\n \"\"\"\n # Use regular expression to search for the word 'z'\n if re.search(r'\\bz\\b', text):\n return True\n else:\n return False", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["pythonz."]], "plus_fail_tests": [["1234z5678"]]}], "Mbpp/455": [{"task_id": "Mbpp/455", "solution": "def check_month_number(month_number):\n \"\"\"\n Checks if the given month number contains 31 days.\n \n Parameters:\n month_number (int): The month number to check.\n \n Returns:\n bool: True if the month contains 31 days, False otherwise.\n \"\"\"\n # List of months with 31 days\n thirty_one_days_months = [1, 3, 5, 7, 8, 10, 12]\n \n # Check if the month number is in the list of months with 31 days\n return month_number in thirty_one_days_months\n\n# Test the function\nassert check_month_number(5) == True, \"Test case 1 failed\"\nassert check_month_number(6) == False, \"Test case 2 failed\"\nassert check_month_number(11) == False, \"Test case 3 failed\"\nassert check_month_number(12) == True, \"Test case 4 failed\"", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/458": [{"task_id": "Mbpp/458", "solution": "def rectangle_area(length, width):\n \"\"\"\n Calculate the area of a rectangle given its length and width.\n \n Parameters:\n length (int or float): The length of the rectangle.\n width (int or float): The width of the rectangle.\n \n Returns:\n int or float: The area of the rectangle.\n \"\"\"\n return length * width", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/457": [{"task_id": "Mbpp/457", "solution": "def find_min(lst):\n \"\"\"\n Finds the sublist with the minimum length in a given list of lists.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n list: The sublist with the minimum length.\n \n Raises:\n ValueError: If the input list is empty.\n \"\"\"\n if not lst:\n raise ValueError(\"Input list cannot be empty\")\n \n # Initialize the minimum length and the corresponding sublist\n min_length = float('inf')\n min_sublist = None\n \n # Iterate over each sublist in the input list\n for sublist in lst:\n # Calculate the length of the current sublist\n length = len(sublist)\n \n # Update the minimum length and the corresponding sublist if necessary\n if length < min_length:\n min_length = length\n min_sublist = sublist\n \n return min_sublist\n\n# Test the function with the provided data points\nassert find_min([[1], [1, 2], [1, 2, 3]]) == [1]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/456": [{"task_id": "Mbpp/456", "solution": "def reverse_string_list(strings):\n \"\"\"\n Reverses each string in a given list of string values.\n \n Parameters:\n strings (list): A list of strings to be reversed.\n \n Returns:\n list: A list of reversed strings.\n \"\"\"\n return [s[::-1] for s in strings]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/460": [{"task_id": "Mbpp/460", "solution": "def extract_first_elements(lst):\n \"\"\"\n Extracts the first element of each sublist in the given list.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n list: A list containing the first elements of each sublist.\n \"\"\"\n return [sublist[0] for sublist in lst]\n\n# Test the function\ndef check_extract_first_elements():\n assert extract_first_elements([[1, 2], [3, 4, 5], [6, 7, 8, 9]]) == [1, 3, 6], \"Test case 1 failed\"\n assert extract_first_elements([[10], [20, 21], [30, 31, 32]]) == [10, 20, 30], \"Test case 2 failed\"\n assert extract_first_elements([[], [1], [2, 3]]) == [None, 1, 2], \"Test case 3 failed\"\n print(\"All test cases passed!\")\n\n# Run the test function\ncheck_extract_first_elements()", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/463": [{"task_id": "Mbpp/463", "solution": "def max_subarray_product(nums):\n \"\"\"\n Find the maximum product subarray of the given array.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The maximum product subarray.\n \"\"\"\n if not nums:\n return 0\n \n max_product = nums[0]\n min_product = nums[0]\n result = nums[0]\n \n for i in range(1, len(nums)):\n if nums[i] < 0:\n max_product, min_product = min_product, max_product\n \n max_product = max(nums[i], max_product * nums[i])\n min_product = min(nums[i], min_product * nums[i])\n \n result = max(result, max_product)\n \n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/470": [{"task_id": "Mbpp/470", "solution": "def add_pairwise(t):\n \"\"\"\n This function takes a tuple of integers and returns a tuple where each element is the sum of its neighbors.\n The first and last elements are only summed with their single neighbor.\n \n :param t: A tuple of integers\n :return: A tuple where each element is the sum of its neighbors\n \"\"\"\n if len(t) < 2:\n return ()\n result = []\n for i in range(len(t)):\n if i == 0:\n result.append(t[i + 1])\n elif i == len(t) - 1:\n result.append(t[i - 1])\n else:\n result.append(t[i - 1] + t[i + 1])\n return tuple(result)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 5, 7, 8, 10]]], "plus_fail_tests": [[[1, 2, -3, 4, 5]]]}], "Mbpp/468": [{"task_id": "Mbpp/468", "solution": "def max_product(arr):\n \"\"\"\n Finds the maximum product formed by multiplying numbers of an increasing subsequence of the given array.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The maximum product of an increasing subsequence.\n \"\"\"\n if not arr:\n return 0\n \n n = len(arr)\n dp = [1] * n\n max_prod = 1\n \n for i in range(1, n):\n for j in range(i):\n if arr[i] > arr[j]:\n dp[i] = max(dp[i], dp[j] * arr[i])\n max_prod = max(max_prod, dp[i])\n \n return max_prod", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[3, 100, 4, 5, 150, 6]]], "plus_fail_tests": [[[-3, -100, -4, -5, -150, -6]]]}], "Mbpp/462": [{"task_id": "Mbpp/462", "solution": "def combinations_list(lst):\n \"\"\"\n Generate all possible combinations of the elements of a given list.\n \n Parameters:\n lst (list): A list of elements.\n \n Returns:\n list: A list of lists, where each sublist is a combination of elements from the input list.\n \"\"\"\n result = [[]]\n for element in lst:\n result.extend([subset + [element] for subset in result])\n return result", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["orange", "red", "green", "blue"]]], "plus_fail_tests": [[["a", "b", "c", "d", "e", "f", "g", "h", "i", "j"]]]}], "Mbpp/465": [{"task_id": "Mbpp/465", "solution": "def drop_empty(d):\n \"\"\"\n Drops empty items from a given dictionary.\n\n Args:\n d (dict): The input dictionary.\n\n Returns:\n dict: The dictionary with empty items removed.\n \"\"\"\n return {k: v for k, v in d.items() if v is not None}", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/473": [{"task_id": "Mbpp/473", "solution": "def tuple_intersection(tuples1, tuples2):\n \"\"\"\n Find the tuple intersection of elements in the given tuple list irrespective of their order.\n \n Parameters:\n tuples1 (list): A list of tuples.\n tuples2 (list): A list of tuples.\n \n Returns:\n set: A set of tuples that are common to both lists, regardless of order.\n \"\"\"\n # Convert both lists to sets of frozensets to handle tuples with different orders\n set1 = set(frozenset(t) for t in tuples1)\n set2 = set(frozenset(t) for t in tuples2)\n \n # Find the intersection of the two sets\n intersection = set1 & set2\n \n # Convert the frozensets back to tuples\n result = {tuple(t) for t in intersection}\n \n return result", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[[1, 2, 3], [4, 5, 6], [7, 8, 9]], [[1, 2, 3], [7, 8, 9], [10, 11, 12]]]]}], "Mbpp/472": [{"task_id": "Mbpp/472", "solution": "def check_Consecutive(numbers):\n \"\"\"\n Checks if the given list contains consecutive numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n bool: True if the list contains consecutive numbers, False otherwise.\n \"\"\"\n if len(numbers) < 2:\n return False\n \n # Sort the list to make it easier to check for consecutive numbers\n sorted_numbers = sorted(numbers)\n \n # Check if the difference between consecutive numbers is 1\n for i in range(1, len(sorted_numbers)):\n if sorted_numbers[i] - sorted_numbers[i - 1] != 1:\n return False\n \n return True", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[4]]]}], "Mbpp/471": [{"task_id": "Mbpp/471", "solution": "def find_remainder(arr, n):\n \"\"\"\n This function takes an array of integers and a modulo number n,\n and returns the product of the array elements modulo n.\n \n Parameters:\n arr (list): A list of integers.\n n (int): The modulo number.\n \n Returns:\n int: The product of the array elements modulo n.\n \"\"\"\n product = 1\n for num in arr:\n product = (product * num) % n\n return product", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/474": [{"task_id": "Mbpp/474", "solution": "def replace_char(s, old_char, new_char):\n \"\"\"\n Replaces all occurrences of a specified character in a string with another character.\n\n Parameters:\n s (str): The input string.\n old_char (str): The character to be replaced.\n new_char (str): The character to replace with.\n\n Returns:\n str: The modified string with all occurrences of old_char replaced by new_char.\n \"\"\"\n return s.replace(old_char, new_char)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/392": [{"task_id": "Mbpp/392", "solution": "def get_max_sum(n):\n \"\"\"\n Calculate the maximum sum possible using the given equation f(n) = max( (f(n/2) + f(n/3) + f(n/4) + f(n/5)), n).\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The maximum sum possible.\n \"\"\"\n if n <= 1:\n return n\n return max(get_max_sum(n // 2) + get_max_sum(n // 3) + get_max_sum(n // 4) + get_max_sum(n // 5), n)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[1000000]]}], "Mbpp/476": [{"task_id": "Mbpp/476", "solution": "def big_sum(arr):\n \"\"\"\n This function takes an array of integers and returns the sum of the largest and smallest values in the array.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The sum of the largest and smallest values in the array.\n \"\"\"\n if not arr:\n return 0\n return max(arr) + min(arr)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/475": [{"task_id": "Mbpp/475", "solution": "def sort_counter(d):\n \"\"\"\n Sorts a dictionary by value in descending order.\n \n Parameters:\n d (dict): A dictionary with integer values.\n \n Returns:\n list: A list of tuples, where each tuple contains a key-value pair from the dictionary, sorted by value in descending order.\n \"\"\"\n return sorted(d.items(), key=lambda x: x[1], reverse=True)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/477": [{"task_id": "Mbpp/477", "solution": "def to_lower(s):\n \"\"\"\n Converts the given string to lower case.\n \n Parameters:\n s (str): The input string to be converted.\n \n Returns:\n str: The lower case version of the input string.\n \"\"\"\n return s.lower()\n\n# Test cases\nassert to_lower(\"InValid\") == \"invalid\"\nassert to_lower(\"VALID\") == \"valid\"\nassert to_lower(\"valid\") == \"valid\"\nassert to_lower(\"\") == \"\"\nassert to_lower(\"12345\") == \"12345\"", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/479": [{"task_id": "Mbpp/479", "solution": "def first_Digit(n):\n \"\"\"\n This function takes an integer n and returns the first digit of n.\n \n Parameters:\n n (int): The input integer.\n \n Returns:\n int: The first digit of n.\n \"\"\"\n # Convert the number to a string to easily access the first character\n str_n = str(n)\n # Return the first character of the string as an integer\n return int(str_n[0])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/478": [{"task_id": "Mbpp/478", "solution": "def remove_lowercase(s):\n \"\"\"\n Remove lowercase substrings from a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with lowercase substrings removed.\n \"\"\"\n result = []\n for char in s:\n if char.isupper():\n result.append(char)\n return ''.join(result)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/555": [{"task_id": "Mbpp/555", "solution": "def difference(n):\n \"\"\"\n Calculate the difference between the sum of cubes of the first n natural numbers and the sum of the first n natural numbers.\n \n Parameters:\n n (int): The number of natural numbers to consider.\n \n Returns:\n int: The difference between the sum of cubes and the sum of the first n natural numbers.\n \"\"\"\n # Calculate the sum of cubes of the first n natural numbers\n sum_of_cubes = sum(i**3 for i in range(1, n + 1))\n \n # Calculate the sum of the first n natural numbers\n sum_of_numbers = sum(range(1, n + 1))\n \n # Calculate the difference\n difference = sum_of_cubes - sum_of_numbers\n \n return difference", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/556": [{"task_id": "Mbpp/556", "solution": "def find_Odd_Pair(arr, n):\n \"\"\"\n This function counts the number of pairs whose XOR value is odd.\n \n Parameters:\n arr (list): A list of integers.\n n (int): The length of the list.\n \n Returns:\n int: The number of pairs whose XOR value is odd.\n \"\"\"\n count = 0\n for i in range(n):\n for j in range(i + 1, n):\n if (arr[i] ^ arr[j]) % 2 != 0:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/559": [{"task_id": "Mbpp/559", "solution": "def max_sub_array_sum(nums, n):\n \"\"\"\n Finds the sum of the largest contiguous sublist in the given list.\n \n Parameters:\n nums (list): A list of integers.\n n (int): The length of the list.\n \n Returns:\n int: The sum of the largest contiguous sublist.\n \"\"\"\n max_sum = float('-inf')\n current_sum = 0\n \n for num in nums:\n current_sum += num\n if current_sum > max_sum:\n max_sum = current_sum\n if current_sum < 0:\n current_sum = 0\n \n return max_sum", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[], 0]]}], "Mbpp/558": [{"task_id": "Mbpp/558", "solution": "def digit_distance_nums(num1, num2):\n \"\"\"\n Calculate the sum of the absolute differences between each digit of two numbers.\n \n Parameters:\n num1 (int): The first number.\n num2 (int): The second number.\n \n Returns:\n int: The sum of the absolute differences between each digit of the two numbers.\n \"\"\"\n # Convert numbers to strings to easily access each digit\n str_num1 = str(num1)\n str_num2 = str(num2)\n \n # Ensure both numbers have the same number of digits\n max_length = max(len(str_num1), len(str_num2))\n str_num1 = str_num1.zfill(max_length)\n str_num2 = str_num2.zfill(max_length)\n \n # Calculate the sum of the absolute differences between each digit\n sum_diff = sum(abs(int(digit1) - int(digit2)) for digit1, digit2 in zip(str_num1, str_num2))\n \n return sum_diff", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/554": [{"task_id": "Mbpp/554", "solution": "def get_odd_numbers(numbers):\n \"\"\"\n This function takes a list of integers and returns a new list containing only the odd numbers.\n \n :param numbers: List of integers\n :return: List of odd integers\n \"\"\"\n return [num for num in numbers if num % 2 != 0]\n\n# Test the function\nassert get_odd_numbers([1, 2, 3, 4, 5, 6]) == [1, 3, 5], \"Test failed\"", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/563": [{"task_id": "Mbpp/563", "solution": "import re\ndef extract_values(input_string):\n \"\"\"\n Extracts values between quotation marks from a string.\n \n Parameters:\n input_string (str): The input string containing values between quotation marks.\n \n Returns:\n list: A list of extracted values.\n \"\"\"\n # Use regular expression to find all substrings between quotation marks\n matches = re.findall(r'\"([^\"]*)\"', input_string)\n return matches", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/560": [{"task_id": "Mbpp/560", "solution": "def union_elements(tuple1, tuple2):\n \"\"\"\n This function takes two tuples as input and returns a new tuple containing the union of their elements, sorted in ascending order.\n \n Parameters:\n tuple1 (tuple): The first input tuple.\n tuple2 (tuple): The second input tuple.\n \n Returns:\n tuple: A new tuple containing the union of the elements of tuple1 and tuple2, sorted in ascending order.\n \"\"\"\n # Combine the two tuples\n combined = tuple1 + tuple2\n \n # Use a set to remove duplicates and then convert back to a tuple\n unique_elements = tuple(set(combined))\n \n # Sort the tuple in ascending order\n sorted_tuple = tuple(sorted(unique_elements))\n \n return sorted_tuple", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/562": [{"task_id": "Mbpp/562", "solution": "def find_max_length(lst):\n \"\"\"\n This function takes a list of lists and returns the length of the longest sublist.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n int: The length of the longest sublist.\n \"\"\"\n if not lst:\n return 0\n return max(len(sublist) for sublist in lst)\n\n# Test cases\nassert find_max_length([[1], [1, 4], [5, 6, 7, 8]]) == 4\nassert find_max_length([[1, 2, 3], [4, 5], [6, 7, 8, 9, 10]]) == 5\nassert find_max_length([[], [1], [2, 3], [4, 5, 6]]) == 3\nassert find_max_length([]) == 0", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/557": [{"task_id": "Mbpp/557", "solution": "def toggle_string(s):\n \"\"\"\n Toggles the case of all characters in a string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with toggled case.\n \"\"\"\n return ''.join(char.upper() if char.islower() else char.lower() for char in s)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/564": [{"task_id": "Mbpp/564", "solution": "def count_Pairs(nums, k):\n \"\"\"\n This function takes a list of integers and counts the number of possible unordered pairs where both elements are unequal.\n \n Parameters:\n nums (list): A list of integers.\n k (int): The target value for the pair.\n \n Returns:\n int: The number of possible unordered pairs where both elements are unequal.\n \"\"\"\n from itertools import combinations\n count = 0\n for pair in combinations(nums, 2):\n if pair[0] != pair[1]:\n count += 1\n return count", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10, 10, 7, 6], 2]]}], "Mbpp/255": [{"task_id": "Mbpp/255", "solution": "from itertools import product\ndef combinations_colors(colors, n):\n \"\"\"\n Generates all combinations (with repetition) of the elements of the list and returns a list with a tuple for each combination.\n \n Parameters:\n colors (list): A list of colors.\n n (int): The length of the combinations.\n \n Returns:\n list: A list of tuples, where each tuple is a combination of colors.\n \"\"\"\n return list(product(colors, repeat=n))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[["Red", "Green", "Blue"], 2]], "plus_fail_tests": [[["A", "B", "C", "D"], 4]]}], "Mbpp/566": [{"task_id": "Mbpp/566", "solution": "def sum_digits(n):\n \"\"\"\n Returns the sum of the digits of a non-negative integer.\n \n Parameters:\n n (int): A non-negative integer.\n \n Returns:\n int: The sum of the digits of the input integer.\n \n Raises:\n ValueError: If the input is a negative integer.\n \"\"\"\n if n < 0:\n raise ValueError(\"Input must be a non-negative integer.\")\n return sum(int(digit) for digit in str(n))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/567": [{"task_id": "Mbpp/567", "solution": "def is_sorted_list(lst):\n \"\"\"\n Check if a list is sorted in ascending order.\n \n Parameters:\n lst (list): The list to be checked.\n \n Returns:\n bool: True if the list is sorted, False otherwise.\n \"\"\"\n return all(lst[i] <= lst[i + 1] for i in range(len(lst) - 1))\n\n# Test cases\nassert is_sorted_list([1, 2, 4, 6, 8, 10, 12, 14, 16, 17]) == True\nassert is_sorted_list([1, 2, 4, 6, 8, 10, 12, 14, 16, 15]) == False\nassert is_sorted_list([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == True\nassert is_sorted_list([10, 9, 8, 7, 6, 5, 4, 3, 2, 1]) == True\nassert is_sorted_list([1, 3, 2, 4, 5, 6, 7, 8, 9, 10]) == False", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/453": [{"task_id": "Mbpp/453", "solution": "def sumofFactors(n):\n \"\"\"\n This function calculates the sum of all even factors of a given number.\n \n Parameters:\n n (int): The input number for which we want to find the sum of even factors.\n \n Returns:\n int: The sum of all even factors of the input number.\n \"\"\"\n # Initialize the sum of even factors\n sum_of_even_factors = 0\n \n # Iterate through all numbers from 1 to n\n for i in range(1, n + 1):\n # Check if i is a factor of n\n if n % i == 0:\n # Check if i is even\n if i % 2 == 0:\n # Add i to the sum of even factors\n sum_of_even_factors += i\n \n return sum_of_even_factors", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/565": [{"task_id": "Mbpp/565", "solution": "def split_string(s):\n \"\"\"\n Splits a string into a list of characters.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n list: A list of characters in the string.\n \n Example:\n >>> split_string('python')\n ['p', 'y', 't', 'h', 'o', 'n']\n \"\"\"\n return list(s)\n\n# Test the function\nassert split_string('python') == ['p', 'y', 't', 'h', 'o', 'n'], \"Test failed\"", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/568": [{"task_id": "Mbpp/568", "solution": "def empty_list(n):\n \"\"\"\n Create a list of N empty dictionaries.\n \n Parameters:\n n (int): The number of empty dictionaries to create.\n \n Returns:\n list: A list of N empty dictionaries.\n \"\"\"\n return [{} for _ in range(n)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/459": [{"task_id": "Mbpp/459", "solution": "def remove_uppercase(s):\n \"\"\"\n Removes uppercase substrings from the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with uppercase substrings removed.\n \"\"\"\n result = []\n i = 0\n while i < len(s):\n if s[i].islower():\n result.append(s[i])\n i += 1\n else:\n while i < len(s) and s[i].isupper():\n i += 1\n return ''.join(result)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["ThiS%^%!s&a(mY)TesTStR%i*ng"]]}], "Mbpp/572": [{"task_id": "Mbpp/572", "solution": "def two_unique_nums(nums):\n \"\"\"\n This function takes a list of numbers and returns a list of unique numbers.\n It uses a set to remove duplicates and then converts the set back to a list.\n \n :param nums: List of numbers\n :return: List of unique numbers\n \"\"\"\n return list(set(nums))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 3, 2, 3, 4, 5]]], "plus_fail_tests": [[[1, 2, 3, 2, 4, 5, 3, 6, 4, 7, 8, 9, 5, 6]]]}], "Mbpp/569": [{"task_id": "Mbpp/569", "solution": "def sort_sublists(list_of_lists):\n \"\"\"\n Sorts each sublist of strings in a given list of lists.\n \n Parameters:\n list_of_lists (list): A list of lists, where each sublist contains strings.\n \n Returns:\n list: A new list of lists with each sublist sorted.\n \"\"\"\n return [sorted(sublist) for sublist in list_of_lists]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/573": [{"task_id": "Mbpp/573", "solution": "def unique_product(numbers):\n \"\"\"\n Calculate the product of the unique numbers in a given list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The product of the unique numbers in the list.\n \"\"\"\n unique_numbers = set(numbers)\n product = 1\n for num in unique_numbers:\n product *= num\n return product", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/581": [{"task_id": "Mbpp/581", "solution": "def surface_Area(base_edge, height):\n \"\"\"\n Calculate the surface area of a square pyramid.\n\n Parameters:\n base_edge (float): The length of the base edge of the pyramid.\n height (float): The height of the pyramid.\n\n Returns:\n float: The surface area of the pyramid.\n \"\"\"\n # Calculate the area of the base\n base_area = base_edge ** 2\n \n # Calculate the area of the lateral surfaces\n lateral_area = 0.5 * 4 * base_edge * height\n \n # Calculate the total surface area\n total_surface_area = base_area + lateral_area\n \n return total_surface_area", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/576": [{"task_id": "Mbpp/576", "solution": "def is_Sub_Array(main_list, sub_list):\n \"\"\"\n Checks if a sub_list is a sublist of a main_list.\n \n Parameters:\n main_list (list): The main list to check.\n sub_list (list): The sublist to check for.\n \n Returns:\n bool: True if sub_list is a sublist of main_list, False otherwise.\n \"\"\"\n return sub_list in main_list", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 1], [1, 2, 1]]], "plus_fail_tests": [[[], []]]}], "Mbpp/577": [{"task_id": "Mbpp/577", "solution": "def last_Digit_Factorial(n):\n \"\"\"\n This function calculates the last digit of the factorial of a given number.\n \n Parameters:\n n (int): The input number for which the factorial is to be calculated.\n \n Returns:\n int: The last digit of the factorial of the input number.\n \"\"\"\n # Initialize the result to 1\n result = 1\n \n # Iterate from 2 to n\n for i in range(2, n + 1):\n # Multiply the result by i\n result *= i\n # Keep the last digit of the result\n result %= 10\n \n # Return the last digit of the result\n return result", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[2.5]]}], "Mbpp/579": [{"task_id": "Mbpp/579", "solution": "def find_dissimilar(tuple1, tuple2):\n \"\"\"\n Finds the dissimilar elements in the given two tuples.\n \n Parameters:\n tuple1 (tuple): The first tuple.\n tuple2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple containing the dissimilar elements from both tuples.\n \"\"\"\n # Convert tuples to sets to find dissimilar elements\n set1 = set(tuple1)\n set2 = set(tuple2)\n \n # Find elements in set1 but not in set2\n dissimilar1 = set1 - set2\n \n # Find elements in set2 but not in set1\n dissimilar2 = set2 - set1\n \n # Combine the dissimilar elements from both sets\n dissimilar_elements = tuple(dissimilar1 | dissimilar2)\n \n return dissimilar_elements", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/578": [{"task_id": "Mbpp/578", "solution": "def interleave_lists(list1, list2, list3):\n \"\"\"\n Interleaves three lists of the same length into a single flat list.\n \n Parameters:\n list1 (list): The first list to interleave.\n list2 (list): The second list to interleave.\n list3 (list): The third list to interleave.\n \n Returns:\n list: A single flat list containing the interleaved elements.\n \"\"\"\n # Check if all lists have the same length\n if len(list1) != len(list2) or len(list1) != len(list3):\n raise ValueError(\"All input lists must have the same length\")\n \n # Initialize an empty list to store the result\n result = []\n \n # Iterate over the indices of the lists\n for i in range(len(list1)):\n # Append the elements from each list at the current index to the result list\n result.append(list1[i])\n result.append(list2[i])\n result.append(list3[i])\n \n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/583": [{"task_id": "Mbpp/583", "solution": "def catalan_number(n):\n \"\"\"\n Returns the nth Catalan number.\n \n The Catalan numbers are a sequence of natural numbers that appear in many counting problems, often involving recursive structures.\n The nth Catalan number is given by the formula:\n C(n) = (2n choose n) / (n + 1)\n \n Parameters:\n n (int): The position of the Catalan number to be returned.\n \n Returns:\n int: The nth Catalan number.\n \"\"\"\n from math import comb\n return comb(2 * n, n) // (n + 1)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/580": [{"task_id": "Mbpp/580", "solution": "def extract_even(t):\n \"\"\"\n Recursively removes uneven elements from a nested mixed tuple.\n \n Parameters:\n t (tuple): The input tuple.\n \n Returns:\n tuple: A tuple with uneven elements removed.\n \"\"\"\n result = []\n for item in t:\n if isinstance(item, tuple):\n result.append(extract_even(item))\n elif item % 2 == 0:\n result.append(item)\n return tuple(result)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/585": [{"task_id": "Mbpp/585", "solution": "def expensive_items(items, n):\n \"\"\"\n Finds the n most expensive items in a given dataset.\n\n Args:\n items (list): A list of dictionaries, each containing 'name' and 'price' keys.\n n (int): The number of most expensive items to return.\n\n Returns:\n list: A list of dictionaries, each containing 'name' and 'price' keys, representing the n most expensive items.\n \"\"\"\n # Sort the items by price in descending order\n sorted_items = sorted(items, key=lambda x: x['price'], reverse=True)\n \n # Return the first n items\n return sorted_items[:n]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/586": [{"task_id": "Mbpp/586", "solution": "def split_Arr(arr, n):\n \"\"\"\n Splits the list at the nth element and adds the first part to the end.\n \n Parameters:\n arr (list): The input list to be split.\n n (int): The index at which to split the list.\n \n Returns:\n list: The modified list with the first part added to the end.\n \"\"\"\n # Check if the index is valid\n if n < 0 or n >= len(arr):\n raise ValueError(\"Index out of range\")\n \n # Split the list at the nth element\n first_part = arr[:n]\n second_part = arr[n:]\n \n # Combine the second part with the first part\n result = second_part + first_part\n \n return result", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[], 0]]}], "Mbpp/588": [{"task_id": "Mbpp/588", "solution": "def big_diff(nums):\n \"\"\"\n This function takes a list of integers and returns the difference between the largest and smallest values in the list.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The difference between the largest and smallest values in the list.\n \"\"\"\n if not nums:\n return 0\n min_val = min(nums)\n max_val = max(nums)\n return max_val - min_val", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/587": [{"task_id": "Mbpp/587", "solution": "def list_tuple(lst):\n \"\"\"\n Converts a list to a tuple.\n \n Parameters:\n lst (list): The list to be converted.\n \n Returns:\n tuple: The converted tuple.\n \"\"\"\n return tuple(lst)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/589": [{"task_id": "Mbpp/589", "solution": "def perfect_squares(start, end):\n \"\"\"\n Returns a list of perfect squares between the given start and end numbers (inclusive).\n \n Parameters:\n start (int): The starting number (inclusive).\n end (int): The ending number (inclusive).\n \n Returns:\n list: A list of perfect squares between start and end.\n \"\"\"\n # Initialize an empty list to store the perfect squares\n perfect_squares_list = []\n \n # Iterate over the range from start to end (inclusive)\n for num in range(start, end + 1):\n # Check if the square root of the number is an integer\n if (num ** 0.5).is_integer():\n # If it is, add it to the list\n perfect_squares_list.append(num)\n \n return perfect_squares_list", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[-10, -1]]}], "Mbpp/590": [{"task_id": "Mbpp/590", "solution": "import math\ndef polar_rect(r, theta):\n \"\"\"\n Convert polar coordinates (r, theta) to rectangular coordinates (x, y).\n \n Parameters:\n r (float): The radius of the polar coordinate.\n theta (float): The angle in radians.\n \n Returns:\n tuple: A tuple containing the rectangular coordinates (x, y).\n \"\"\"\n x = r * math.cos(theta)\n y = r * math.sin(theta)\n return (x, y)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3, 4]], "plus_fail_tests": [[0, 0]]}], "Mbpp/591": [{"task_id": "Mbpp/591", "solution": "def swap_list(lst):\n \"\"\"\n Swaps the first and last elements of a list.\n \n Parameters:\n lst (list): The input list.\n \n Returns:\n list: The list with the first and last elements swapped.\n \"\"\"\n if len(lst) < 2:\n return lst # If the list has fewer than 2 elements, no swapping is needed\n return [lst[-1]] + lst[1:-1] + [lst[0]]\n\n# Test cases\nassert swap_list([12, 35, 9, 56, 24]) == [24, 35, 9, 56, 12]\nassert swap_list([1]) == [1] # Single element list\nassert swap_list([]) == [] # Empty list\nassert swap_list([1, 2, 3, 4, 5, 6]) == [6, 2, 3, 4, 5, 1]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/596": [{"task_id": "Mbpp/596", "solution": "import sys\ndef tuple_size(t):\n \"\"\"\n Returns the size in bytes of the given tuple.\n \n Parameters:\n t (tuple): The tuple to be measured.\n \n Returns:\n int: The size in bytes of the tuple.\n \"\"\"\n return sys.getsizeof(t)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/592": [{"task_id": "Mbpp/592", "solution": "def sum_Of_product(n):\n \"\"\"\n Calculate the sum of the product of consecutive binomial coefficients.\n \n Parameters:\n n (int): The number of terms to consider.\n \n Returns:\n int: The sum of the product of consecutive binomial coefficients.\n \"\"\"\n from math import comb\n total = 0\n for i in range(1, n):\n total += comb(n, i) * comb(n, i + 1)\n return total", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[3]], "plus_fail_tests": [[10]]}], "Mbpp/594": [{"task_id": "Mbpp/594", "solution": "def diff_even_odd(numbers):\n \"\"\"\n Find the difference between the first even and first odd number in a list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The difference between the first even and first odd number.\n \"\"\"\n # Initialize variables to store the first even and odd numbers\n first_even = None\n first_odd = None\n \n # Iterate through the list to find the first even and odd numbers\n for num in numbers:\n if num % 2 == 0 and first_even is None:\n first_even = num\n elif num % 2 != 0 and first_odd is None:\n first_odd = num\n # If both even and odd numbers are found, break the loop\n if first_even is not None and first_odd is not None:\n break\n \n # If either even or odd number is not found, return None\n if first_even is None or first_odd is None:\n return None\n \n # Return the difference between the first even and first odd numbers\n return first_even - first_odd", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/593": [{"task_id": "Mbpp/593", "solution": "def removezero_ip(ip_address):\n \"\"\"\n Removes leading zeroes from an IP address.\n \n Parameters:\n ip_address (str): The IP address to be processed.\n \n Returns:\n str: The IP address with leading zeroes removed.\n \"\"\"\n # Split the IP address into its components\n parts = ip_address.split('.')\n \n # Remove leading zeroes from each part\n cleaned_parts = [str(int(part)) for part in parts]\n \n # Join the cleaned parts back into a single string\n cleaned_ip = '.'.join(cleaned_parts)\n \n return cleaned_ip", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["0.0.0.0"]]}], "Mbpp/597": [{"task_id": "Mbpp/597", "solution": "def find_kth(arr1, arr2, k):\n \"\"\"\n Find the kth element from the given two sorted arrays.\n\n Args:\n arr1 (list): The first sorted array.\n arr2 (list): The second sorted array.\n k (int): The index of the element to find.\n\n Returns:\n int: The kth element from the merged array.\n\n Raises:\n ValueError: If k is out of bounds.\n \"\"\"\n # Merge the two arrays\n merged = sorted(arr1 + arr2)\n \n # Check if k is within the bounds of the merged array\n if k < 1 or k > len(merged):\n raise ValueError(\"k is out of bounds\")\n \n # Return the kth element\n return merged[k - 1]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/598": [{"task_id": "Mbpp/598", "solution": "def armstrong_number(n):\n \"\"\"\n Check if a number is an Armstrong number.\n \n An Armstrong number is a number that is equal to the sum of its own digits each raised to the power of the number of digits.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is an Armstrong number, False otherwise.\n \"\"\"\n # Convert the number to a string to easily access each digit\n num_str = str(n)\n num_digits = len(num_str)\n \n # Calculate the sum of each digit raised to the power of the number of digits\n sum_of_powers = sum(int(digit) ** num_digits for digit in num_str)\n \n # Check if the sum is equal to the original number\n return sum_of_powers == n", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/600": [{"task_id": "Mbpp/600", "solution": "def is_Even(n):\n \"\"\"\n Checks if a given number is even.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is even, False otherwise.\n \"\"\"\n return n % 2 == 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/602": [{"task_id": "Mbpp/602", "solution": "def first_repeated_char(s):\n \"\"\"\n Finds the first repeated character in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The first repeated character in the string, or None if no repeated character is found.\n \"\"\"\n seen = set()\n for char in s:\n if char in seen:\n return char\n seen.add(char)\n return None", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/599": [{"task_id": "Mbpp/599", "solution": "def sum_average(n):\n \"\"\"\n Calculate the sum and average of the first n natural numbers.\n \n Parameters:\n n (int): The number of natural numbers to consider.\n \n Returns:\n tuple: A tuple containing the sum and average of the first n natural numbers.\n \"\"\"\n # Calculate the sum of the first n natural numbers\n total_sum = n * (n + 1) // 2\n \n # Calculate the average of the first n natural numbers\n average = total_sum / n\n \n return (total_sum, average)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/603": [{"task_id": "Mbpp/603", "solution": "def get_lucid(n):\n \"\"\"\n Returns a list of Lucid numbers smaller than or equal to n.\n \n A Lucid number is a number that is either a Lucas number or a Lucas-Lehmer number.\n Lucas numbers are defined by the recurrence relation: L(n) = L(n-1) + L(n-2) with initial values L(0) = 2 and L(1) = 1.\n Lucas-Lehmer numbers are defined by the recurrence relation: L(n) = L(n-1) + L(n-2)^2 with initial values L(0) = 2 and L(1) = 1.\n \n Parameters:\n n (int): The upper limit for the Lucid numbers.\n \n Returns:\n list: A list of Lucid numbers smaller than or equal to n.\n \"\"\"\n lucas_numbers = [2, 1]\n lucas_lehmer_numbers = [2, 1]\n \n # Generate Lucas numbers\n while lucas_numbers[-1] <= n:\n lucas_numbers.append(lucas_numbers[-1] + lucas_numbers[-2])\n \n # Generate Lucas-Lehmer numbers\n while lucas_lehmer_numbers[-1] <= n:\n lucas_lehmer_numbers.append(lucas_lehmer_numbers[-1] + lucas_lehmer_numbers[-2]**2)\n \n # Combine Lucas and Lucas-Lehmer numbers\n lucid_numbers = set(lucas_numbers + lucas_lehmer_numbers)\n \n # Remove numbers greater than n\n lucid_numbers = [num for num in lucid_numbers if num <= n]\n \n return sorted(lucid_numbers)\n\n# Test the function\nassert get_lucid(10) == [1, 2, 3, 5, 7]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/604": [{"task_id": "Mbpp/604", "solution": "def reverse_words(s):\n \"\"\"\n Reverses the order of words in a given string.\n \n Parameters:\n s (str): The input string containing words separated by spaces.\n \n Returns:\n str: The string with words in reverse order.\n \n Example:\n >>> reverse_words(\"python program\")\n 'program python'\n \"\"\"\n words = s.split()\n reversed_words = words[::-1]\n return ' '.join(reversed_words)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/605": [{"task_id": "Mbpp/605", "solution": "def prime_num(n):\n \"\"\"\n Checks if the given integer is a prime number.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is prime, False otherwise.\n \"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/606": [{"task_id": "Mbpp/606", "solution": "import math\ndef radian_degree(degrees):\n \"\"\"\n Converts degrees to radians.\n \n Parameters:\n degrees (float): The angle in degrees.\n \n Returns:\n float: The angle in radians.\n \"\"\"\n return math.radians(degrees)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/607": [{"task_id": "Mbpp/607", "solution": "import re\ndef find_literals(text, pattern):\n \"\"\"\n Searches a string for a regex pattern and returns the matching substring, start index, and end index.\n \n Parameters:\n text (str): The input string to search.\n pattern (str): The regex pattern to search for.\n \n Returns:\n tuple: A tuple containing the matching substring, start index, and end index.\n \"\"\"\n match = re.search(pattern, text)\n if match:\n return match.group(), match.start(), match.end()\n else:\n return None, None, None", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["", "rfvPtELLC"]]}], "Mbpp/608": [{"task_id": "Mbpp/608", "solution": "def bell_Number(n):\n \"\"\"\n Calculate the nth Bell number.\n\n The Bell number B(n) is the number of ways to partition a set of n distinct objects into any number of subsets.\n The Bell number is defined as B(n) = sum(B(k) * C(n-1, k-1)) for k from 1 to n.\n\n Parameters:\n n (int): The number of distinct objects to partition.\n\n Returns:\n int: The nth Bell number.\n\n Examples:\n >>> bell_Number(2)\n 2\n >>> bell_Number(3)\n 5\n >>> bell_Number(4)\n 15\n \"\"\"\n # Initialize the Bell triangle\n bell_triangle = [[0 for _ in range(n+1)] for _ in range(n+1)]\n bell_triangle[0][0] = 1\n\n # Fill the Bell triangle\n for i in range(1, n+1):\n bell_triangle[i][0] = bell_triangle[i-1][i-1]\n for j in range(1, i+1):\n bell_triangle[i][j] = bell_triangle[i-1][j-1] + bell_triangle[i][j-1]\n\n # The nth Bell number is the last element in the nth row\n return bell_triangle[n][n-1]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[2]], "plus_fail_tests": [[10]]}], "Mbpp/610": [{"task_id": "Mbpp/610", "solution": "def remove_kth_element(lst, k):\n \"\"\"\n Removes the k'th element from the given list.\n \n Parameters:\n lst (list): The input list from which the k'th element is to be removed.\n k (int): The index of the element to be removed (0-based index).\n \n Returns:\n list: A new list with the k'th element removed.\n \n Raises:\n IndexError: If k is out of range for the list.\n \"\"\"\n if k < 0 or k >= len(lst):\n raise IndexError(\"k is out of range for the list\")\n return lst[:k] + lst[k+1:]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 1, 2, 3, 4, 4, 5, 1], 3]], "plus_fail_tests": [[[1, 2, 3, 4, 5], 1]]}], "Mbpp/615": [{"task_id": "Mbpp/615", "solution": "def average_tuple(tuples):\n \"\"\"\n This function takes a tuple of tuples and returns the average value for each tuple as a list.\n \n Parameters:\n tuples (tuple): A tuple of tuples.\n \n Returns:\n list: A list of average values for each tuple.\n \"\"\"\n averages = []\n for tup in tuples:\n average = sum(tup) / len(tup)\n averages.append(average)\n return averages", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[10, 10, 10, 12], [30, 45, 56, 45], [81, 80, 39, 32], [1, 2, 3, 4]]]], "plus_fail_tests": [[[[7, 8, 9], [-2, -4, -6], [0, 20, 30]]]]}], "Mbpp/611": [{"task_id": "Mbpp/611", "solution": "def max_of_nth(matrix, n):\n \"\"\"\n Given a matrix represented as a list of lists, returns the max of the n'th column.\n \n Parameters:\n matrix (list of lists): The input matrix.\n n (int): The column index (0-based).\n \n Returns:\n int: The maximum value in the n'th column.\n \"\"\"\n # Extract the n'th column from the matrix\n column = [row[n] for row in matrix]\n # Return the maximum value in the column\n return max(column)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/612": [{"task_id": "Mbpp/612", "solution": "def merge(lst):\n \"\"\"\n Takes a list of lists, where each sublist has two elements, and returns a list of two lists where the first list has the first element of each sublist and the second one has the second.\n \n :param lst: List of lists, where each sublist has two elements.\n :return: List of two lists where the first list has the first element of each sublist and the second one has the second.\n \"\"\"\n # Initialize two empty lists to store the first and second elements of each sublist\n first_elements = []\n second_elements = []\n \n # Iterate over each sublist in the input list\n for sublist in lst:\n # Append the first element of the sublist to the first_elements list\n first_elements.append(sublist[0])\n # Append the second element of the sublist to the second_elements list\n second_elements.append(sublist[1])\n \n # Return a list containing the two lists\n return [first_elements, second_elements]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/616": [{"task_id": "Mbpp/616", "solution": "def tuple_modulo(t1, t2):\n \"\"\"\n Perform element-wise modulo operation on two tuples of the same length.\n \n Parameters:\n t1 (tuple): The first tuple.\n t2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple containing the results of the element-wise modulo operation.\n \n Raises:\n ValueError: If the input tuples are not of the same length.\n \"\"\"\n if len(t1) != len(t2):\n raise ValueError(\"Both tuples must be of the same length\")\n \n return tuple(a % b for a, b in zip(t1, t2))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/614": [{"task_id": "Mbpp/614", "solution": "def cummulative_sum(tuples_list):\n \"\"\"\n This function takes a list of tuples and returns the cumulative sum of all the values in the tuples.\n \n :param tuples_list: List of tuples containing integers.\n :return: Cumulative sum of all the values in the tuples.\n \"\"\"\n total_sum = 0\n for tup in tuples_list:\n total_sum += sum(tup)\n return total_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/618": [{"task_id": "Mbpp/618", "solution": "def div_list(list1, list2):\n \"\"\"\n Divides two lists element-wise.\n \n Parameters:\n list1 (list): The first list of numbers.\n list2 (list): The second list of numbers.\n \n Returns:\n list: A list of the results of dividing the corresponding elements of list1 and list2.\n \n Raises:\n ValueError: If the lists are not of the same length.\n ZeroDivisionError: If an element in list2 is zero.\n \"\"\"\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must be of the same length.\")\n \n result = []\n for i in range(len(list1)):\n if list2[i] == 0:\n raise ZeroDivisionError(\"Cannot divide by zero.\")\n result.append(list1[i] / list2[i])\n \n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/619": [{"task_id": "Mbpp/619", "solution": "def move_num(s):\n \"\"\"\n Move all the numbers to the end of the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The modified string with numbers moved to the end.\n \n Examples:\n >>> move_num('I1love143you55three3000thousand')\n 'Iloveyouthreethousand1143553000'\n \"\"\"\n nums = []\n letters = []\n for char in s:\n if char.isdigit():\n nums.append(char)\n else:\n letters.append(char)\n return ''.join(letters + nums)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/620": [{"task_id": "Mbpp/620", "solution": "def largest_subset(nums):\n \"\"\"\n Find the size of the largest subset of a list of numbers so that every pair is divisible.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The size of the largest subset.\n \"\"\"\n def is_divisible(a, b):\n \"\"\"Check if two numbers are divisible.\"\"\"\n return a % b == 0 or b % a == 0\n \n def is_valid_subset(subset):\n \"\"\"Check if all pairs in the subset are divisible.\"\"\"\n for i in range(len(subset)):\n for j in range(i + 1, len(subset)):\n if not is_divisible(subset[i], subset[j]):\n return False\n return True\n \n def backtrack(start, current):\n \"\"\"Backtracking function to find the largest subset.\"\"\"\n if len(current) > len(best_subset):\n best_subset.clear()\n best_subset.extend(current)\n \n for i in range(start, len(nums)):\n if is_valid_subset(current + [nums[i]]):\n backtrack(i + 1, current + [nums[i]])\n \n best_subset = []\n backtrack(0, [])\n return len(best_subset)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[9, 3, 12, 7, 16, 3, 11, 8, 4, 13, 13]]]}], "Mbpp/622": [{"task_id": "Mbpp/622", "solution": "def get_median(list1, list2, n):\n \"\"\"\n Finds the median of two sorted lists of the same size.\n\n Args:\n list1 (list): The first sorted list.\n list2 (list): The second sorted list.\n n (int): The size of the lists.\n\n Returns:\n float: The median of the two lists.\n \"\"\"\n # Merge the two lists\n merged_list = sorted(list1 + list2)\n \n # Calculate the median\n if n % 2 == 0:\n median = (merged_list[n // 2 - 1] + merged_list[n // 2]) / 2\n else:\n median = merged_list[n // 2]\n \n return median", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 12, 15, 26, 38], [2, 13, 17, 30, 45], 5]], "plus_fail_tests": [[[1, 4, 7, 10, 13, 16, 19, 22, 25, 28], [2, 5, 8, 11, 14, 17, 20, 23, 26, 29], 10]]}], "Mbpp/624": [{"task_id": "Mbpp/624", "solution": "def to_upper(s):\n \"\"\"\n Converts a given string to uppercase.\n \n Parameters:\n s (str): The input string to be converted to uppercase.\n \n Returns:\n str: The uppercase version of the input string.\n \"\"\"\n return s.upper()\n\n# Test the function\nassert to_upper(\"person\") == \"PERSON\"", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/629": [{"task_id": "Mbpp/629", "solution": "def find_even_numbers(numbers):\n \"\"\"\n This function takes a list of numbers and returns a list of even numbers.\n \n :param numbers: List of integers\n :return: List of even integers\n \"\"\"\n return [num for num in numbers if num % 2 == 0]\n\n# Test the function\ndef test_find_even_numbers():\n assert find_even_numbers([1, 2, 3, 4, 5]) == [2, 4]\n assert find_even_numbers([2, 4, 6, 8, 10]) == [2, 4, 6, 8, 10]\n assert find_even_numbers([1, 3, 5, 7, 9]) == []\n assert find_even_numbers([]) == []\n print(\"All tests passed!\")\n\n# Run the test function\ntest_find_even_numbers()", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/628": [{"task_id": "Mbpp/628", "solution": "def replace_spaces(s):\n \"\"\"\n Replace all spaces in the given string with '%20'.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with spaces replaced by '%20'.\n \"\"\"\n return s.replace(' ', '%20')", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/626": [{"task_id": "Mbpp/626", "solution": "import math", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/623": [{"task_id": "Mbpp/623", "solution": "def nth_nums(nums, n):\n \"\"\"\n Compute the n-th power of each number in a list.\n \n Parameters:\n nums (list): A list of numbers.\n n (int): The power to which each number should be raised.\n \n Returns:\n list: A list of numbers where each number is raised to the power of n.\n \"\"\"\n return [num ** n for num in nums]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/631": [{"task_id": "Mbpp/631", "solution": "def replace_spaces(s):\n \"\"\"\n Replaces whitespaces with an underscore and vice versa in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The modified string with spaces replaced by underscores and vice versa.\n \"\"\"\n return s.replace(' ', '_').replace('_', ' ')", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["Jumanji The Jungle"]], "plus_fail_tests": [[" Jumanji The Jungle "]]}], "Mbpp/637": [{"task_id": "Mbpp/637", "solution": "def noprofit_noloss(sell_price, buy_price):\n \"\"\"\n Check if the given amount has no profit and no loss.\n\n Parameters:\n sell_price (float): The selling price of the item.\n buy_price (float): The buying price of the item.\n\n Returns:\n bool: True if the amount has no profit and no loss, False otherwise.\n \"\"\"\n return sell_price == buy_price", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/635": [{"task_id": "Mbpp/635", "solution": "def heap_sort(arr):\n \"\"\"\n Sorts the given list using the heap sort algorithm.\n \n Parameters:\n arr (list): The list to be sorted.\n \n Returns:\n list: The sorted list.\n \"\"\"\n def heapify(arr, n, i):\n largest = i\n left = 2 * i + 1\n right = 2 * i + 2\n\n if left < n and arr[i] < arr[left]:\n largest = left\n\n if right < n and arr[largest] < arr[right]:\n largest = right\n\n if largest != i:\n arr[i], arr[largest] = arr[largest], arr[i]\n heapify(arr, n, largest)\n\n n = len(arr)\n\n # Build a maxheap\n for i in range(n, -1, -1):\n heapify(arr, n, i)\n\n # One by one extract elements\n for i in range(n-1, 0, -1):\n arr[i], arr[0] = arr[0], arr[i]\n heapify(arr, i, 0)\n\n return arr", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/633": [{"task_id": "Mbpp/633", "solution": "def pair_xor_sum(nums, n):\n \"\"\"\n Calculate the sum of XOR of all pairs of numbers in the given list.\n \n Parameters:\n nums (list): A list of integers.\n n (int): The number of elements in the list.\n \n Returns:\n int: The sum of XOR of all pairs of numbers in the list.\n \"\"\"\n total_sum = 0\n for i in range(n):\n for j in range(i + 1, n):\n total_sum += nums[i] ^ nums[j]\n return total_sum\n\n# Test the function\nassert pair_xor_sum([5, 9, 7, 6], 4) == 47", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/639": [{"task_id": "Mbpp/639", "solution": "def sum_name_lengths(names):\n \"\"\"\n This function takes a list of names and returns the sum of the lengths of the names after removing those that start with a lowercase letter.\n \n :param names: List of names (str)\n :return: Sum of lengths of names (int)\n \"\"\"\n # Filter out names that start with a lowercase letter\n filtered_names = [name for name in names if not name[0].islower()]\n \n # Calculate the sum of the lengths of the filtered names\n total_length = sum(len(name) for name in filtered_names)\n \n return total_length\n\n# Test the function with the provided data point\nassert sum_name_lengths(['sally', 'Dylan', 'rebecca', 'Diana', 'Joanne', 'keith']) == 16", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/632": [{"task_id": "Mbpp/632", "solution": "def move_zero(nums):\n \"\"\"\n Move all zeroes to the end of the given list.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n list: A list with all zeroes moved to the end.\n \n Example:\n >>> move_zero([1,0,2,0,3,4])\n [1,2,3,4,0,0]\n \"\"\"\n # Initialize two pointers, one at the beginning and one at the end of the list\n left, right = 0, len(nums) - 1\n \n # Iterate until the left pointer is less than or equal to the right pointer\n while left <= right:\n # If the element at the left pointer is zero, swap it with the element at the right pointer\n if nums[left] == 0:\n nums[left], nums[right] = nums[right], nums[left]\n # Decrement the right pointer to move the zero to the end\n right -= 1\n # If the element at the left pointer is not zero, move the left pointer to the right\n else:\n left += 1\n \n return nums", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 0, 2, 0, 3, 4]]], "plus_fail_tests": [[[2, 3, 4, 0, 0, 7, 0, 5, 6, 0, 0, 9, 0, 8, 10, 0, 0, 12, 13, 14, 0]]]}], "Mbpp/643": [{"task_id": "Mbpp/643", "solution": "def text_match_wordz_middle(text):\n \"\"\"\n Checks if a string contains 'z' except at the start and end of the word.\n \n Parameters:\n text (str): The input string to check.\n \n Returns:\n bool: True if 'z' is found in the middle of the word, False otherwise.\n \"\"\"\n # Split the text into words\n words = text.split()\n \n # Iterate over each word\n for word in words:\n # Check if 'z' is found in the middle of the word\n if 'z' in word[1:-1]:\n return True\n \n # If no 'z' is found in the middle of any word, return False\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/638": [{"task_id": "Mbpp/638", "solution": "def wind_chill(velocity, temperature):\n \"\"\"\n Calculate the wind chill index rounded to the next integer given the wind velocity in km/h and a temperature in celsius.\n \n Parameters:\n velocity (int): Wind velocity in km/h.\n temperature (int): Temperature in celsius.\n \n Returns:\n int: Wind chill index rounded to the next integer.\n \"\"\"\n # Calculate the wind chill index using the formula:\n # wci = 13.12 + 0.6215*T - 11.37*V^0.16 + 0.3965*T*V^0.16\n wci = 13.12 + 0.6215 * temperature - 11.37 * (velocity ** 0.16) + 0.3965 * temperature * (velocity ** 0.16)\n \n # Round the wind chill index to the next integer\n wci = round(wci)\n \n return wci", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/644": [{"task_id": "Mbpp/644", "solution": "def reverse_Array_Upto_K(arr, k):\n \"\"\"\n Reverses the array up to the given position k.\n \n Parameters:\n arr (list): The input list to be reversed.\n k (int): The position up to which the array should be reversed.\n \n Returns:\n list: The reversed array up to position k.\n \"\"\"\n # Check if k is within the bounds of the array\n if k > len(arr):\n raise ValueError(\"k is out of bounds of the array\")\n \n # Reverse the array up to position k\n arr[:k] = arr[:k][::-1]\n \n return arr", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/641": [{"task_id": "Mbpp/641", "solution": "def is_nonagonal(n):\n \"\"\"\n Calculate the nth nonagonal number.\n \n A nonagonal number is a figurate number that extends the concept of triangular and square numbers.\n The nth nonagonal number can be calculated using the formula:\n n(7n-5)/2\n \n Parameters:\n n (int): The position of the nonagonal number to calculate.\n \n Returns:\n int: The nth nonagonal number.\n \"\"\"\n return n * (7 * n - 5) // 2", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/720": [{"task_id": "Mbpp/720", "solution": "def add_dict_to_tuple(tup, dictionary):\n \"\"\"\n Adds a dictionary to the tuple and returns the result as a tuple.\n \n Parameters:\n tup (tuple): The input tuple.\n dictionary (dict): The dictionary to be added.\n \n Returns:\n tuple: The tuple with the dictionary added.\n \"\"\"\n # Convert the tuple to a list, add the dictionary, and then convert it back to a tuple\n return tuple(list(tup) + [dictionary])", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/723": [{"task_id": "Mbpp/723", "solution": "def count_same_pair(list1, list2):\n \"\"\"\n Counts the number of indices where the two lists have the same values.\n \n Parameters:\n list1 (list): The first list of integers.\n list2 (list): The second list of integers.\n \n Returns:\n int: The number of indices where the lists have the same values.\n \"\"\"\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must be of the same length.\")\n \n count = 0\n for i in range(len(list1)):\n if list1[i] == list2[i]:\n count += 1\n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/721": [{"task_id": "Mbpp/721", "solution": "def maxAverageOfPath(matrix):\n \"\"\"\n Given a square matrix of size N*N given as a list of lists, where each cell is associated with a specific cost.\n A path is defined as a specific sequence of cells that starts from the top-left cell move only right or down and ends on bottom right cell.\n We want to find a path with the maximum average over all existing paths. Average is computed as total cost divided by the number of cells visited in the path.\n \"\"\"\n n = len(matrix)\n dp = [[0] * n for _ in range(n)]\n dp[0][0] = matrix[0][0]\n \n # Initialize the first row and first column\n for i in range(1, n):\n dp[i][0] = dp[i-1][0] + matrix[i][0]\n dp[0][i] = dp[0][i-1] + matrix[0][i]\n \n # Fill the rest of the dp table\n for i in range(1, n):\n for j in range(1, n):\n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) + matrix[i][j]\n \n # Calculate the maximum average\n max_average = dp[-1][-1] / (n * n)\n return max_average", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[1, 2, 3], [6, 5, 4], [7, 3, 9]]]], "plus_fail_tests": [[[[0, 0, 0], [0, 0, 0], [0, 0, -1]]]]}], "Mbpp/722": [{"task_id": "Mbpp/722", "solution": "def filter_data(student_data, min_height, min_weight):\n \"\"\"\n Filters students based on their height and weight above the minimum values.\n\n Parameters:\n - student_data (dict): A dictionary with student names as keys and tuples of (height, weight) as values.\n - min_height (float): The minimum height required.\n - min_weight (float): The minimum weight required.\n\n Returns:\n - dict: A dictionary containing only the students who meet the height and weight requirements.\n \"\"\"\n return {name: data for name, data in student_data.items() if data[0] >= min_height and data[1] >= min_weight}", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/726": [{"task_id": "Mbpp/726", "solution": "def multiply_elements(t):\n \"\"\"\n This function takes a tuple of numbers and returns a tuple of length N-1 where the i-th element is equal to t_i * t_{i+1}.\n \n Parameters:\n t (tuple): A tuple of numbers.\n \n Returns:\n tuple: A tuple of length N-1 where each element is the product of consecutive elements in the input tuple.\n \n Example:\n >>> multiply_elements((1, 5, 7, 8, 10))\n (5, 35, 56, 80)\n \"\"\"\n return tuple(t[i] * t[i + 1] for i in range(len(t) - 1))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/724": [{"task_id": "Mbpp/724", "solution": "def power_base_sum(base, power):\n \"\"\"\n Calculate the sum of all digits of the base to the specified power.\n \n Parameters:\n base (int): The base number.\n power (int): The power to which the base is raised.\n \n Returns:\n int: The sum of all digits of the result.\n \"\"\"\n result = base ** power\n return sum(int(digit) for digit in str(result))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/725": [{"task_id": "Mbpp/725", "solution": "import re\ndef extract_quotation(s):\n \"\"\"\n Extracts values between quotation marks \" \" from the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n list: A list of strings extracted between quotation marks.\n \"\"\"\n # Use regular expression to find all substrings between quotation marks\n matches = re.findall(r'\"([^\"]*)\"', s)\n return matches", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/732": [{"task_id": "Mbpp/732", "solution": "def replace_specialchar(text):\n \"\"\"\n Replace all occurrences of spaces, commas, or dots with a colon.\n \n Parameters:\n text (str): The input string to be processed.\n \n Returns:\n str: The processed string with spaces, commas, and dots replaced by colons.\n \"\"\"\n # Replace spaces, commas, and dots with colons\n result = text.replace(' ', ':').replace(',', ':').replace('.', ':')\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/728": [{"task_id": "Mbpp/728", "solution": "def sum_list(list1, list2):\n \"\"\"\n This function takes two lists as input and returns a new list where each element is the sum of the corresponding elements from the input lists.\n \n Parameters:\n list1 (list): The first list of numbers.\n list2 (list): The second list of numbers.\n \n Returns:\n list: A new list where each element is the sum of the corresponding elements from the input lists.\n \n Example:\n >>> sum_list([10, 20, 30], [15, 25, 35])\n [25, 45, 65]\n \"\"\"\n return [a + b for a, b in zip(list1, list2)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/730": [{"task_id": "Mbpp/730", "solution": "def consecutive_duplicates(lst):\n \"\"\"\n Removes consecutive duplicates from a list.\n \n Parameters:\n lst (list): The input list from which consecutive duplicates are to be removed.\n \n Returns:\n list: The list with consecutive duplicates removed.\n \"\"\"\n result = []\n for i in range(len(lst)):\n if i == 0 or lst[i] != lst[i-1]:\n result.append(lst[i])\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/731": [{"task_id": "Mbpp/731", "solution": "import math\ndef lateralsurface_cone(r, h):\n \"\"\"\n Calculate the lateral surface area of a cone given its radius and height.\n \n Parameters:\n r (float): The radius of the cone.\n h (float): The height of the cone.\n \n Returns:\n float: The lateral surface area of the cone.\n \"\"\"\n # Calculate the lateral surface area using the formula:\n # A = \u03c0 * r * l\n # where l is the slant height of the cone\n l = math.sqrt(r**2 + h**2)\n lateral_surface_area = math.pi * r * l\n return lateral_surface_area", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/734": [{"task_id": "Mbpp/734", "solution": "def sum_Of_Subarray_Prod(arr):\n \"\"\"\n This function calculates the sum of products of all possible sublists of a given list.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The sum of products of all possible sublists.\n \"\"\"\n n = len(arr)\n total_sum = 0\n \n # Iterate over each element in the list\n for i in range(n):\n # Calculate the product of the current element and all elements to its right\n product = 1\n for j in range(i, n):\n product *= arr[j]\n total_sum += product\n \n return total_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/735": [{"task_id": "Mbpp/735", "solution": "def toggle_middle_bits(n):\n \"\"\"\n Toggles the bits of the number except the first and the last bit.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number with toggled bits.\n \"\"\"\n # Convert the number to binary and remove the '0b' prefix\n binary_str = bin(n)[2:]\n \n # Check if the number has more than 2 bits\n if len(binary_str) > 2:\n # Toggle the middle bits (excluding the first and last bit)\n toggled_bits = ''.join('1' if bit == '0' else '0' for bit in binary_str[1:-1])\n # Reconstruct the binary string with the toggled bits\n toggled_binary_str = binary_str[0] + toggled_bits + binary_str[-1]\n # Convert the binary string back to an integer\n toggled_number = int(toggled_binary_str, 2)\n else:\n # If the number has 2 or fewer bits, no bits to toggle\n toggled_number = n\n \n return toggled_number", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[true]]}], "Mbpp/741": [{"task_id": "Mbpp/741", "solution": "def all_Characters_Same(s):\n \"\"\"\n Checks if all characters in a string are the same.\n\n Args:\n s (str): The input string.\n\n Returns:\n bool: True if all characters are the same, False otherwise.\n \"\"\"\n return len(set(s)) == 1", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[""]]}], "Mbpp/740": [{"task_id": "Mbpp/740", "solution": "def tuple_to_dict(tup):\n \"\"\"\n Convert a tuple to a key-value dictionary using adjacent elements.\n \n Parameters:\n tup (tuple): The input tuple.\n \n Returns:\n dict: A dictionary with adjacent elements as keys and values.\n \n Example:\n >>> tuple_to_dict((1, 5, 7, 10, 13, 5))\n {1: 5, 7: 10, 13: 5}\n \"\"\"\n return {tup[i]: tup[i + 1] for i in range(0, len(tup), 2)}", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/733": [{"task_id": "Mbpp/733", "solution": "def find_first_occurrence(arr, target):\n \"\"\"\n Find the index of the first occurrence of a given number in a sorted array.\n \n Parameters:\n arr (list): A sorted list of integers.\n target (int): The target number to find.\n \n Returns:\n int: The index of the first occurrence of the target number. If the target is not found, returns -1.\n \"\"\"\n left, right = 0, len(arr) - 1\n result = -1\n \n while left <= right:\n mid = (left + right) // 2\n if arr[mid] == target:\n result = mid\n right = mid - 1 # Continue searching to the left to find the first occurrence\n elif arr[mid] < target:\n left = mid + 1\n else:\n right = mid - 1\n \n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/744": [{"task_id": "Mbpp/744", "solution": "def check_none(tup):\n \"\"\"\n Checks if the given tuple has any None value.\n \n Parameters:\n tup (tuple): The tuple to be checked.\n \n Returns:\n bool: True if the tuple contains None, False otherwise.\n \"\"\"\n return None in tup", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/742": [{"task_id": "Mbpp/742", "solution": "import math\ndef area_tetrahedron(edge_length):\n \"\"\"\n Calculate the area of a tetrahedron given its edge length.\n \n Parameters:\n edge_length (float): The length of the edge of the tetrahedron.\n \n Returns:\n float: The area of the tetrahedron.\n \"\"\"\n # Calculate the area using the formula: sqrt(3) * edge_length^2\n area = math.sqrt(3) * edge_length ** 2\n return area", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/737": [{"task_id": "Mbpp/737", "solution": "import re\ndef check_str(s):\n \"\"\"\n Checks if the given string starts with a vowel using regex.\n \n Parameters:\n s (str): The input string to check.\n \n Returns:\n bool: True if the string starts with a vowel, False otherwise.\n \"\"\"\n # Define the regex pattern for a vowel\n pattern = r'^[aeiouAEIOU]'\n \n # Use the re.match function to check if the string starts with a vowel\n return bool(re.match(pattern, s))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/736": [{"task_id": "Mbpp/736", "solution": "def left_insertion(arr, target):\n \"\"\"\n Find the left insertion point for a specified value in sorted order.\n \n Parameters:\n arr (list): A sorted list of integers.\n target (int): The value to find the left insertion point for.\n \n Returns:\n int: The index of the left insertion point.\n \"\"\"\n left, right = 0, len(arr)\n while left < right:\n mid = (left + right) // 2\n if arr[mid] < target:\n left = mid + 1\n else:\n right = mid\n return left", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/743": [{"task_id": "Mbpp/743", "solution": "def rotate_right(lst, k):\n \"\"\"\n Rotate a given list by specified number of items to the right direction.\n \n Parameters:\n lst (list): The list to be rotated.\n k (int): The number of items to rotate to the right.\n \n Returns:\n list: The rotated list.\n \"\"\"\n # Calculate the effective rotation count\n k = k % len(lst)\n \n # Split the list into two parts and reverse each part\n lst[:] = lst[-k:] + lst[:-k]\n \n return lst", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[], 0]]}], "Mbpp/748": [{"task_id": "Mbpp/748", "solution": "def capital_words_spaces(s):\n \"\"\"\n Inserts spaces between words starting with capital letters in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The modified string with spaces between capital words.\n \n Examples:\n >>> capital_words_spaces(\"Python\")\n 'Python'\n >>> capital_words_spaces(\"HelloWorld\")\n 'Hello World'\n >>> capital_words_spaces(\"CapitalLetters\")\n 'Capital Letters'\n \"\"\"\n result = []\n for word in s.split():\n if word.istitle():\n result.append(word)\n else:\n result.append(' '.join(word))\n return ' '.join(result)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [["PythonProgrammingExamples"]], "plus_fail_tests": [["MyNameIsAIAndIAmHereToHelpYou"]]}], "Mbpp/749": [{"task_id": "Mbpp/749", "solution": "def sort_numeric_strings(numbers):\n \"\"\"\n Sorts a list of strings of numbers numerically.\n \n Parameters:\n numbers (list): A list of strings representing numbers.\n \n Returns:\n list: A list of integers sorted in ascending order.\n \"\"\"\n # Convert all strings to integers and sort the list\n return sorted(int(num) for num in numbers)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/745": [{"task_id": "Mbpp/745", "solution": "def divisible_by_digits(startnum, endnum):\n \"\"\"\n Find numbers within a given range from startnum to endnum where every number is divisible by every digit it contains.\n \n Parameters:\n startnum (int): The starting number of the range.\n endnum (int): The ending number of the range.\n \n Returns:\n list: A list of numbers within the range that are divisible by every digit they contain.\n \"\"\"\n def is_divisible_by_digits(num):\n \"\"\"\n Check if a number is divisible by every digit it contains.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is divisible by every digit, False otherwise.\n \"\"\"\n digits = [int(d) for d in str(num) if d != '0']\n return all(num % d == 0 for d in digits)\n \n return [num for num in range(startnum, endnum + 1) if is_divisible_by_digits(num)]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[1, 22]], "plus_fail_tests": [[100, 200]]}], "Mbpp/750": [{"task_id": "Mbpp/750", "solution": "def add_tuple(lst, tup):\n \"\"\"\n Adds the given tuple to the given list.\n \n Parameters:\n lst (list): The list to which the tuple will be added.\n tup (tuple): The tuple to be added to the list.\n \n Returns:\n list: The updated list with the tuple added.\n \"\"\"\n return lst + list(tup)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/752": [{"task_id": "Mbpp/752", "solution": "def jacobsthal_num(n):\n \"\"\"\n Returns the nth Jacobsthal number.\n \n The Jacobsthal sequence is defined as:\n - J(0) = 0\n - J(1) = 1\n - J(n) = 2 * J(n-1) + J(n-2) for n > 1\n \n Parameters:\n n (int): The position in the Jacobsthal sequence to find the number for.\n \n Returns:\n int: The nth Jacobsthal number.\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 1\n else:\n a, b = 0, 1\n for _ in range(2, n + 1):\n a, b = b, 2 * b + a\n return b", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[5]], "plus_fail_tests": [[100]]}], "Mbpp/751": [{"task_id": "Mbpp/751", "solution": "def check_min_heap(arr):\n \"\"\"\n Checks if the given array represents a min heap.\n \n A min heap is a complete binary tree where the value of each node is less than or equal to the values of its children.\n \n :param arr: List[int] - The array to check.\n :return: bool - True if the array represents a min heap, False otherwise.\n \"\"\"\n n = len(arr)\n \n # Iterate through the array from the first non-leaf node to the root\n for i in range(n // 2 - 1, -1, -1):\n # Check if the current node is less than its children\n if arr[i] > arr[2 * i + 1]:\n return False\n if 2 * i + 2 < n and arr[i] > arr[2 * i + 2]:\n return False\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/753": [{"task_id": "Mbpp/753", "solution": "def min_k(records, k):\n \"\"\"\n Finds the minimum k records from a list of tuples.\n\n Args:\n records (list): A list of tuples, where each tuple contains a name and a score.\n k (int): The number of records to return.\n\n Returns:\n list: A list of the k records with the minimum scores.\n \"\"\"\n # Sort the records by score in ascending order\n sorted_records = sorted(records, key=lambda x: x[1])\n \n # Return the first k records\n return sorted_records[:k]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/754": [{"task_id": "Mbpp/754", "solution": "def extract_index_list(l1, l2, l3):\n \"\"\"\n This function takes three lists as input and returns a list of elements that are common for all three lists under the same index.\n \n Parameters:\n l1 (list): The first list.\n l2 (list): The second list.\n l3 (list): The third list.\n \n Returns:\n list: A list of common elements.\n \"\"\"\n common_elements = []\n for i in range(min(len(l1), len(l2), len(l3))):\n if l1[i] == l2[i] == l3[i]:\n common_elements.append(l1[i])\n return common_elements", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/630": [{"task_id": "Mbpp/630", "solution": "def get_coordinates(coordinate):\n \"\"\"\n Extracts all the adjacent coordinates of the given coordinate tuple.\n \n Parameters:\n coordinate (tuple): A tuple representing the current coordinate.\n \n Returns:\n list: A list of adjacent coordinates.\n \"\"\"\n x, y = coordinate\n adjacent_coordinates = []\n \n # Define the possible offsets for adjacent coordinates\n offsets = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]\n \n # Iterate over the offsets and calculate the adjacent coordinates\n for offset in offsets:\n dx, dy = offset\n adjacent_coordinate = (x + dx, y + dy)\n adjacent_coordinates.append(adjacent_coordinate)\n \n return adjacent_coordinates", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[3, 4]]], "plus_fail_tests": [[[1, 1, 1]]]}], "Mbpp/755": [{"task_id": "Mbpp/755", "solution": "def second_smallest(numbers):\n \"\"\"\n Finds the second smallest number in a list.\n \n Parameters:\n numbers (list): A list of numbers.\n \n Returns:\n int: The second smallest number in the list.\n \n Raises:\n ValueError: If the list has less than two unique numbers.\n \"\"\"\n # Remove duplicates and sort the list\n unique_numbers = sorted(set(numbers))\n \n # Check if there are at least two unique numbers\n if len(unique_numbers) < 2:\n raise ValueError(\"The list must contain at least two unique numbers.\")\n \n # Return the second smallest number\n return unique_numbers[1]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[2, 2]]], "plus_fail_tests": [[[]]]}], "Mbpp/758": [{"task_id": "Mbpp/758", "solution": "def unique_sublists(lst):\n \"\"\"\n This function takes a list of lists and returns a dictionary where each unique list is converted to a tuple,\n and the value of such tuple is the number of its occurrences in the original list.\n \n :param lst: List of lists\n :return: Dictionary with tuples as keys and their counts as values\n \"\"\"\n from collections import Counter\n # Convert each sublist to a tuple and count occurrences\n sublist_counts = Counter(tuple(sublist) for sublist in lst)\n return dict(sublist_counts)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/757": [{"task_id": "Mbpp/757", "solution": "def count_reverse_pairs(strings):\n \"\"\"\n Counts the number of pairs of strings where one string is the reverse of the other.\n \n Parameters:\n strings (list): A list of strings.\n \n Returns:\n int: The number of pairs of reverse strings.\n \"\"\"\n count = 0\n seen = set()\n for s in strings:\n if s in seen:\n count += 1\n else:\n seen.add(s)\n if s[::-1] in seen:\n count += 1\n return count", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[["app", "123", "ad3", "apple", "elppa", "xyx", "bat", "tab", "tacocat", "racecar", "abc", "zyx", "def", "fed"]]]}], "Mbpp/760": [{"task_id": "Mbpp/760", "solution": "def unique_Element(numbers):\n \"\"\"\n Checks if a list of numbers contains only one distinct element.\n \n Parameters:\n numbers (list): A list of numbers.\n \n Returns:\n bool: True if the list contains only one distinct element, False otherwise.\n \"\"\"\n return len(set(numbers)) == 1", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/759": [{"task_id": "Mbpp/759", "solution": "def is_decimal(s):\n \"\"\"\n Check if the given string is a decimal number with a precision of 2.\n \n Parameters:\n s (str): The string to be checked.\n \n Returns:\n bool: True if the string is a decimal number with a precision of 2, False otherwise.\n \"\"\"\n try:\n # Attempt to convert the string to a float with a precision of 2\n float_value = float(s)\n # Check if the float value has a precision of 2\n if s == f\"{float_value:.2f}\":\n return True\n else:\n return False\n except ValueError:\n # If the conversion fails, the string is not a decimal number\n return False", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["-123.11"]]}], "Mbpp/762": [{"task_id": "Mbpp/762", "solution": "def check_monthnumber_number(month_number):\n \"\"\"\n Checks if the given month number contains 30 days.\n \n Parameters:\n month_number (int): The month number to check (1-12).\n \n Returns:\n bool: True if the month has 30 days, False otherwise.\n \"\"\"\n # Define a list of months with 30 days\n months_with_30_days = [4, 6, 9, 11]\n \n # Check if the month number is in the list of months with 30 days\n return month_number in months_with_30_days", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/764": [{"task_id": "Mbpp/764", "solution": "def number_ctr(s):\n \"\"\"\n Counts the number of digits in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The number of digits in the string.\n \"\"\"\n return sum(1 for char in s if char.isdigit())", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/763": [{"task_id": "Mbpp/763", "solution": "def find_min_diff(arr, n):\n \"\"\"\n This function finds the minimum difference between any two elements in a given array.\n \n Parameters:\n arr (tuple): A tuple of integers.\n n (int): The length of the tuple.\n \n Returns:\n int: The minimum difference between any two elements in the array.\n \"\"\"\n # Convert the tuple to a list for sorting\n arr_list = list(arr)\n arr_list.sort()\n \n # Initialize the minimum difference to a large number\n min_diff = float('inf')\n \n # Iterate through the sorted list to find the minimum difference\n for i in range(1, n):\n diff = arr_list[i] - arr_list[i - 1]\n if diff < min_diff:\n min_diff = diff\n \n return min_diff", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/766": [{"task_id": "Mbpp/766", "solution": "def pair_wise(lst):\n \"\"\"\n Returns a list of all pairs of consecutive items in the given list.\n \n Parameters:\n lst (list): The input list.\n \n Returns:\n list: A list of tuples, where each tuple contains two consecutive items from the input list.\n \"\"\"\n return [(lst[i], lst[i + 1]) for i in range(len(lst) - 1)]", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/769": [{"task_id": "Mbpp/769", "solution": "def Diff(list1, list2):\n \"\"\"\n Returns the difference between two lists.\n \n Parameters:\n list1 (list): The first list.\n list2 (list): The second list.\n \n Returns:\n list: The difference between the two lists.\n \"\"\"\n return [item for item in list1 if item not in list2]", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 3, 4, 5], [6, 7, 1]]], "plus_fail_tests": [[[], [1, 2, 3]]]}], "Mbpp/771": [{"task_id": "Mbpp/771", "solution": "def check_expression(expression):\n \"\"\"\n Checks if the given expression is balanced or not.\n \n An expression is considered balanced if:\n - It is empty.\n - It has matching opening and closing brackets.\n - The brackets are properly nested.\n \n Parameters:\n expression (str): The expression to check.\n \n Returns:\n bool: True if the expression is balanced, False otherwise.\n \"\"\"\n # Define a dictionary to map opening brackets to their corresponding closing brackets\n bracket_map = {\n '(': ')',\n '{': '}',\n '[': ']'\n }\n \n # Initialize an empty stack to keep track of opening brackets\n stack = []\n \n # Iterate over each character in the expression\n for char in expression:\n # If the character is an opening bracket, push it onto the stack\n if char in bracket_map:\n stack.append(char)\n # If the character is a closing bracket\n elif char in bracket_map.values():\n # If the stack is empty or the top of the stack does not match the current closing bracket, return False\n if not stack or bracket_map[stack.pop()] != char:\n return False\n \n # If the stack is empty, the expression is balanced\n return not stack", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[""]]}], "Mbpp/767": [{"task_id": "Mbpp/767", "solution": "def get_pairs_count(numbers, target_sum):\n \"\"\"\n Counts the number of pairs in the list whose sum equals the target sum.\n \n Parameters:\n numbers (list): A list of integers.\n target_sum (int): The target sum for the pairs.\n \n Returns:\n int: The number of pairs whose sum equals the target sum.\n \"\"\"\n count = 0\n num_dict = {}\n \n for num in numbers:\n if target_sum - num in num_dict:\n count += num_dict[target_sum - num]\n if num in num_dict:\n num_dict[num] += 1\n else:\n num_dict[num] = 1\n \n return count", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/770": [{"task_id": "Mbpp/770", "solution": "def odd_num_sum(n):\n \"\"\"\n Calculate the sum of the fourth powers of the first n odd natural numbers.\n \n Parameters:\n n (int): The number of odd natural numbers to include in the sum.\n \n Returns:\n int: The sum of the fourth powers of the first n odd natural numbers.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n odd natural numbers\n for i in range(1, 2 * n, 2):\n # Add the fourth power of the current odd number to the sum\n total_sum += i ** 4\n \n return total_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/773": [{"task_id": "Mbpp/773", "solution": "def occurrence_substring(text, substring):\n \"\"\"\n Find the occurrence and position of the substrings within a string.\n Return None if there is no match.\n\n Args:\n text (str): The main string to search in.\n substring (str): The substring to search for.\n\n Returns:\n tuple: A tuple containing the substring, its start index, and its end index.\n \"\"\"\n start_index = text.find(substring)\n if start_index == -1:\n return None\n end_index = start_index + len(substring) - 1\n return (substring, start_index, end_index)\n\n# Test the function\nassert occurrence_substring('python programming, python language', 'python') == ('python', 0, 6)", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/775": [{"task_id": "Mbpp/775", "solution": "def odd_position(lst):\n \"\"\"\n Checks if every odd index contains an odd number in the given list.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n bool: True if every odd index contains an odd number, False otherwise.\n \"\"\"\n for i in range(1, len(lst), 2):\n if lst[i] % 2 == 0:\n return False\n return True", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/772": [{"task_id": "Mbpp/772", "solution": "def remove_length(s, k):\n \"\"\"\n Removes all words of length k from the given string s.\n \n Parameters:\n s (str): The input string.\n k (int): The length of words to be removed.\n \n Returns:\n str: The string with words of length k removed.\n \"\"\"\n words = s.split()\n filtered_words = [word for word in words if len(word) != k]\n return ' '.join(filtered_words)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/777": [{"task_id": "Mbpp/777", "solution": "def find_sum(lst):\n \"\"\"\n This function takes a list of integers and returns the sum of non-repeated elements.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n int: The sum of non-repeated elements in the list.\n \"\"\"\n # Create a set to store unique elements\n unique_elements = set()\n \n # Iterate over the list and add unique elements to the set\n for element in lst:\n unique_elements.add(element)\n \n # Calculate the sum of unique elements\n sum_unique = sum(unique_elements)\n \n return sum_unique", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/780": [{"task_id": "Mbpp/780", "solution": "def find_combinations(tuples_list):\n \"\"\"\n Finds all possible combinations of sums with tuples in the given list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n list: A list of tuples, where each tuple contains two integers representing the sum of two numbers from the input list.\n \"\"\"\n combinations = []\n for i in range(len(tuples_list)):\n for j in range(i + 1, len(tuples_list)):\n combinations.append((tuples_list[i][0] + tuples_list[j][0], tuples_list[i][1] + tuples_list[j][1]))\n return combinations", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[[1, 2, 3], [3, 4, 5]]]], "plus_fail_tests": [[[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12], [13, 14, 15]]]]}], "Mbpp/778": [{"task_id": "Mbpp/778", "solution": "def pack_consecutive_duplicates(lst):\n \"\"\"\n Packs consecutive duplicates of a given list elements into sublists.\n \n Parameters:\n lst (list): The input list of elements.\n \n Returns:\n list: A list of sublists, where each sublist contains consecutive duplicates.\n \"\"\"\n if not lst:\n return []\n \n result = []\n current_sublist = [lst[0]]\n \n for i in range(1, len(lst)):\n if lst[i] == lst[i - 1]:\n current_sublist.append(lst[i])\n else:\n result.append(current_sublist)\n current_sublist = [lst[i]]\n \n result.append(current_sublist)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/739": [{"task_id": "Mbpp/739", "solution": "def find_Index(n):\n \"\"\"\n Find the index of the smallest triangular number with n digits.\n \n Parameters:\n n (int): The number of digits in the triangular number.\n \n Returns:\n int: The index of the smallest triangular number with n digits.\n \"\"\"\n # Initialize the index and the triangular number\n index = 1\n triangular_number = 1\n \n # Loop until we find a triangular number with n digits\n while len(str(triangular_number)) < n:\n index += 1\n triangular_number += index\n \n return index", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[100]]}], "Mbpp/782": [{"task_id": "Mbpp/782", "solution": "def odd_length_sum(arr):\n \"\"\"\n Calculate the sum of all odd length subarrays of the given array.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The sum of all odd length subarrays.\n \"\"\"\n n = len(arr)\n total_sum = 0\n \n # Iterate over all possible subarrays\n for i in range(n):\n for j in range(i, n):\n subarray = arr[i:j+1]\n if len(subarray) % 2 != 0:\n total_sum += sum(subarray)\n \n return total_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/785": [{"task_id": "Mbpp/785", "solution": "def tuple_str_int(tuple_str):\n \"\"\"\n Converts a string representation of a tuple to an integer tuple.\n \n Parameters:\n tuple_str (str): A string representation of a tuple, e.g., \"(7, 8, 9)\".\n \n Returns:\n tuple: An integer tuple.\n \"\"\"\n # Remove the parentheses and split the string by commas\n elements = tuple_str[1:-1].split(', ')\n \n # Convert each element to an integer and return the tuple\n return tuple(int(element) for element in elements)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["((7, 8, 9)"]]}], "Mbpp/784": [{"task_id": "Mbpp/784", "solution": "def mul_even_odd(numbers):\n \"\"\"\n This function takes a list of numbers and returns the product of the first even and odd number in the list.\n If no even or odd number is found, it returns 1.\n \n :param numbers: List of integers\n :return: Product of the first even and odd number in the list, or 1 if no such numbers are found\n \"\"\"\n even_product = 1\n odd_product = 1\n found_even = False\n found_odd = False\n \n for num in numbers:\n if num % 2 == 0 and not found_even:\n even_product *= num\n found_even = True\n elif num % 2 != 0 and not found_odd:\n odd_product *= num\n found_odd = True\n if found_even and found_odd:\n break\n \n return even_product * odd_product", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/786": [{"task_id": "Mbpp/786", "solution": "def right_insertion(arr, target):\n \"\"\"\n Find the right insertion point for a specified value in sorted order.\n \n Parameters:\n arr (list): A sorted list of integers.\n target (int): The value to be inserted.\n \n Returns:\n int: The index where the target should be inserted to maintain sorted order.\n \"\"\"\n left, right = 0, len(arr)\n while left < right:\n mid = (left + right) // 2\n if arr[mid] < target:\n left = mid + 1\n else:\n right = mid\n return left", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[7, true, 3, 6], true]]}], "Mbpp/787": [{"task_id": "Mbpp/787", "solution": "import re\ndef text_match_three(text):\n \"\"\"\n This function checks if the input string has an 'a' followed by exactly three 'b's.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the string matches the pattern, False otherwise.\n \"\"\"\n pattern = r'abbb'\n return bool(re.search(pattern, text))", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/788": [{"task_id": "Mbpp/788", "solution": "def new_tuple(lst, strng):\n \"\"\"\n Create a new tuple from the given string and list.\n \n Parameters:\n lst (list): A list of strings.\n strng (str): A string to be added to the list.\n \n Returns:\n tuple: A tuple containing the elements of the list and the string.\n \"\"\"\n # Combine the list and the string into a new tuple\n result = tuple(lst) + (strng,)\n return result", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/794": [{"task_id": "Mbpp/794", "solution": "import re\ndef text_starta_endb(text):\n \"\"\"\n This function checks if a given text starts with 'a' and ends with 'b'.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the text starts with 'a' and ends with 'b', False otherwise.\n \"\"\"\n # Use regular expression to match the pattern\n pattern = r'^a.*b$'\n return bool(re.match(pattern, text))", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["xaabbyz1323ababb"]]}], "Mbpp/790": [{"task_id": "Mbpp/790", "solution": "def even_position(lst):\n \"\"\"\n Checks if every even index contains an even number in the given list.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n bool: True if every even index contains an even number, False otherwise.\n \"\"\"\n for i in range(0, len(lst), 2):\n if lst[i] % 2 != 0:\n return False\n return True", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[2, 1, 4, 2, 6, 1, 8, 2, 10, 1, 12]]]}], "Mbpp/796": [{"task_id": "Mbpp/796", "solution": "def return_sum(dictionary):\n \"\"\"\n This function takes a dictionary as input and returns the sum of all its values.\n \n Parameters:\n dictionary (dict): A dictionary with integer values.\n \n Returns:\n int: The sum of all values in the dictionary.\n \"\"\"\n return sum(dictionary.values())", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/792": [{"task_id": "Mbpp/792", "solution": "def count_list(lists):\n \"\"\"\n Counts the number of lists in a given list of lists.\n \n Parameters:\n lists (list): A list of lists.\n \n Returns:\n int: The number of lists in the input list.\n \"\"\"\n return len(lists)", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[[2, 3, [4, [5, [6, [7, [8, 9]]]]]]]]}], "Mbpp/791": [{"task_id": "Mbpp/791", "solution": "def remove_nested(tup):\n \"\"\"\n Removes nested tuples from the given tuple.\n \n Parameters:\n tup (tuple): The input tuple containing nested tuples.\n \n Returns:\n tuple: The tuple with nested tuples removed.\n \"\"\"\n result = []\n for item in tup:\n if not isinstance(item, tuple):\n result.append(item)\n return tuple(result)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/798": [{"task_id": "Mbpp/798", "solution": "def _sum(arr):\n \"\"\"\n This function takes an array of numbers and returns the sum of all elements in the array.\n \n Parameters:\n arr (list): A list of numbers.\n \n Returns:\n int: The sum of all elements in the array.\n \"\"\"\n return sum(arr)", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/793": [{"task_id": "Mbpp/793", "solution": "def last(nums, target):\n \"\"\"\n Find the last position of an element in a sorted array.\n \n Parameters:\n nums (list): A sorted list of integers.\n target (int): The target integer to find.\n \n Returns:\n int: The last position of the target in the list, or -1 if not found.\n \"\"\"\n left, right = 0, len(nums) - 1\n last_pos = -1\n \n while left <= right:\n mid = (left + right) // 2\n if nums[mid] == target:\n last_pos = mid\n left = mid + 1 # Continue searching to the right\n elif nums[mid] < target:\n left = mid + 1\n else:\n right = mid - 1\n \n return last_pos", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/800": [{"task_id": "Mbpp/800", "solution": "def remove_all_spaces(input_string):\n \"\"\"\n Removes all whitespaces from a given string.\n \n Parameters:\n input_string (str): The input string from which whitespaces are to be removed.\n \n Returns:\n str: The input string with all whitespaces removed.\n \"\"\"\n return input_string.replace(' ', '')", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/799": [{"task_id": "Mbpp/799", "solution": "def left_rotate(n, d):\n \"\"\"\n Rotate the bits of a 32-bit number to the left by d positions.\n \n Parameters:\n n (int): The 32-bit number to be rotated.\n d (int): The number of positions to rotate the bits to the left.\n \n Returns:\n int: The rotated 32-bit number.\n \"\"\"\n # Ensure d is within the valid range (0 to 31)\n d = d % 32\n \n # Shift the bits to the left by d positions\n rotated_n = (n << d) | (n >> (32 - d))\n \n return rotated_n", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/801": [{"task_id": "Mbpp/801", "solution": "def test_three_equal(a, b, c):\n \"\"\"\n Counts the number of equal numbers from three given integers.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n c (int): The third integer.\n \n Returns:\n int: The count of equal numbers.\n \"\"\"\n if a == b == c:\n return 3\n elif a == b or a == c or b == c:\n return 2\n else:\n return 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/803": [{"task_id": "Mbpp/803", "solution": "def is_perfect_square(n):\n \"\"\"\n Checks if a given number is a perfect square.\n \n Args:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is a perfect square, False otherwise.\n \"\"\"\n if n < 0:\n return False\n if n == 0 or n == 1:\n return True\n low, high = 0, n\n while low <= high:\n mid = (low + high) // 2\n square = mid * mid\n if square == n:\n return True\n elif square < n:\n low = mid + 1\n else:\n high = mid - 1\n return False", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/804": [{"task_id": "Mbpp/804", "solution": "def is_product_even(numbers):\n \"\"\"\n Checks if the product of numbers in a list is even.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n bool: True if the product is even, False otherwise.\n \"\"\"\n product = 1\n for num in numbers:\n product *= num\n return product % 2 == 0", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/765": [{"task_id": "Mbpp/765", "solution": "def is_polite(n):\n \"\"\"\n Returns the nth polite number.\n \n A polite number is a positive integer that can be expressed as the sum of two or more consecutive positive integers.\n \n Parameters:\n n (int): The position of the polite number to find.\n \n Returns:\n int: The nth polite number.\n \"\"\"\n # Initialize the first polite number\n polite_number = 1\n \n # Initialize the count of polite numbers\n polite_count = 0\n \n # Initialize the current number to check\n current_number = 1\n \n while polite_count < n:\n # Check if the current number is polite\n if is_polite_helper(current_number):\n polite_number = current_number\n polite_count += 1\n current_number += 1\n \n return polite_number\ndef is_polite_helper(num):\n \"\"\"\n Helper function to check if a number is polite.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is polite, False otherwise.\n \"\"\"\n # Initialize the sum of consecutive integers\n sum_consecutive = 0\n \n # Initialize the length of the consecutive integers\n length = 1\n \n while sum_consecutive < num:\n sum_consecutive += length\n if sum_consecutive == num:\n return True\n length += 1\n \n return False", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[7]], "plus_fail_tests": [[10000000]]}], "Mbpp/805": [{"task_id": "Mbpp/805", "solution": "def max_sum_list(lst):\n \"\"\"\n Returns the list in a list of lists whose sum of elements is the highest.\n \n Parameters:\n lst (list): A list of lists of integers.\n \n Returns:\n list: The list with the highest sum of elements.\n \"\"\"\n # Initialize the maximum sum and the list with the maximum sum\n max_sum = float('-inf')\n max_sum_list = None\n \n # Iterate over each sublist in the input list\n for sublist in lst:\n # Calculate the sum of the current sublist\n current_sum = sum(sublist)\n # Update the maximum sum and the corresponding list if the current sum is higher\n if current_sum > max_sum:\n max_sum = current_sum\n max_sum_list = sublist\n \n return max_sum_list", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/271": [{"task_id": "Mbpp/271", "solution": "def even_Power_Sum(n):\n \"\"\"\n This function calculates the sum of the first n even natural numbers raised to the fifth power.\n \n Parameters:\n n (int): The number of even natural numbers to include in the sum.\n \n Returns:\n int: The sum of the first n even natural numbers raised to the fifth power.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n even natural numbers\n for i in range(2, 2 * n + 1, 2):\n # Add the fifth power of the current number to the sum\n total_sum += i ** 5\n \n return total_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/806": [{"task_id": "Mbpp/806", "solution": "def max_run_uppercase(s):\n \"\"\"\n Finds the maximum run of uppercase characters in the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The maximum run of uppercase characters.\n \"\"\"\n max_length = 0\n current_length = 0\n \n for char in s:\n if char.isupper():\n current_length += 1\n max_length = max(max_length, current_length)\n else:\n current_length = 0\n \n return max_length", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [["Aaa"]]}], "Mbpp/807": [{"task_id": "Mbpp/807", "solution": "def first_odd(numbers):\n \"\"\"\n Finds the first odd number in a given list of numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The first odd number in the list.\n \n Raises:\n ValueError: If the list is empty or contains no odd numbers.\n \"\"\"\n for num in numbers:\n if num % 2 != 0:\n return num\n raise ValueError(\"No odd numbers found in the list\")", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/797": [{"task_id": "Mbpp/797", "solution": "def sum_in_range(l, r):\n \"\"\"\n Calculate the sum of all odd natural numbers within the range l and r.\n \n Parameters:\n l (int): The lower bound of the range (inclusive).\n r (int): The upper bound of the range (inclusive).\n \n Returns:\n int: The sum of all odd natural numbers within the range.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the range from l to r (inclusive)\n for num in range(l, r + 1):\n # Check if the number is odd\n if num % 2 != 0:\n # Add the odd number to the total sum\n total_sum += num\n \n return total_sum", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/808": [{"task_id": "Mbpp/808", "solution": "def check_K(tup, k):\n \"\"\"\n Checks if the given tuple contains the value k.\n\n Args:\n tup (tuple): The tuple to check.\n k (any): The value to search for.\n\n Returns:\n bool: True if k is in the tuple, False otherwise.\n \"\"\"\n return k in tup", "base_status": "pass", "plus_status": "pass", "base_fail_tests": [], "plus_fail_tests": []}], "Mbpp/809": [{"task_id": "Mbpp/809", "solution": "def check_smaller(tuple1, tuple2):\n \"\"\"\n Checks if each element of the second tuple is smaller than its corresponding element in the first tuple.\n \n Parameters:\n tuple1 (tuple): The first tuple.\n tuple2 (tuple): The second tuple.\n \n Returns:\n bool: True if each element of tuple2 is smaller than its corresponding element in tuple1, False otherwise.\n \"\"\"\n return all(x < y for x, y in zip(tuple1, tuple2))", "base_status": "fail", "plus_status": "fail", "base_fail_tests": [[[1, 2, 3], [2, 3, 4]]], "plus_fail_tests": [[[3, 7, 11, 15, 19], [2, 6, 10, 14, 18]]]}], "Mbpp/781": [{"task_id": "Mbpp/781", "solution": "def count_divisors(n):\n \"\"\"\n This function checks if the count of divisors of a given number is even.\n \n Parameters:\n n (int): The number to check for divisors.\n \n Returns:\n bool: True if the count of divisors is even, False otherwise.\n \"\"\"\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count % 2 == 0", "base_status": "pass", "plus_status": "fail", "base_fail_tests": [], "plus_fail_tests": [[987654321]]}]}, "pass_at_k": {"base": {"pass@1": 0.7566137566137566}, "plus": {"pass@1": 0.6349206349206349}}} \ No newline at end of file diff --git a/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.jsonl b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b56b3d493ceb1908463337e243c79696d26ad012 --- /dev/null +++ b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.jsonl @@ -0,0 +1,378 @@ +{"task_id": "Mbpp/2", "solution": "def similar_elements(list1, list2):\n \"\"\"\n Finds the shared elements from the given two lists.\n \n Parameters:\n list1 (list): The first list of elements.\n list2 (list): The second list of elements.\n \n Returns:\n set: A set of shared elements.\n \"\"\"\n return set(list1) & set(list2)"} +{"task_id": "Mbpp/3", "solution": "def is_not_prime(n):\n \"\"\"\n This function checks if a number is not a prime number.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is not a prime number, False otherwise.\n \"\"\"\n if n <= 1:\n return True\n if n <= 3:\n return False\n if n % 2 == 0 or n % 3 == 0:\n return True\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return True\n i += 6\n return False"} +{"task_id": "Mbpp/4", "solution": "import heapq\ndef heap_queue_largest(numbers, n):\n \"\"\"\n Finds the n largest integers from a given list of numbers, returned in descending order.\n \n Parameters:\n - numbers: List of integers.\n - n: Number of largest integers to return.\n \n Returns:\n - List of n largest integers in descending order.\n \"\"\"\n # Use heapq.nlargest to find the n largest numbers\n largest_numbers = heapq.nlargest(n, numbers)\n # Return the largest numbers in descending order\n return sorted(largest_numbers, reverse=True)"} +{"task_id": "Mbpp/6", "solution": "def differ_At_One_Bit_Pos(num1, num2):\n \"\"\"\n This function checks if two numbers differ at exactly one bit position.\n \n Parameters:\n num1 (int): The first number.\n num2 (int): The second number.\n \n Returns:\n bool: True if the numbers differ at exactly one bit position, False otherwise.\n \"\"\"\n # XOR the two numbers to find the bit positions where they differ\n xor_result = num1 ^ num2\n \n # Count the number of set bits in the XOR result\n # A number has exactly one bit set if and only if the XOR result is a power of 2\n # (i.e., it is a power of 2 minus 1)\n return (xor_result & (xor_result - 1)) == 0"} +{"task_id": "Mbpp/7", "solution": "def find_char_long(s):\n \"\"\"\n Finds all words in a string that are at least 4 characters long.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n list: A list of words that are at least 4 characters long.\n \"\"\"\n # Split the string into words\n words = s.split()\n \n # Filter words that are at least 4 characters long\n long_words = [word for word in words if len(word) >= 4]\n \n return long_words"} +{"task_id": "Mbpp/8", "solution": "def square_nums(nums):\n \"\"\"\n This function takes a list of numbers and returns a new list with the squares of each number.\n \n :param nums: List of numbers\n :return: List of squares of the input numbers\n \"\"\"\n return [num ** 2 for num in nums]"} +{"task_id": "Mbpp/9", "solution": "def find_Rotations(s: str) -> int:\n \"\"\"\n Finds the minimum number of rotations (greater than 0) required to get the same string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The minimum number of rotations required.\n \n Examples:\n >>> find_Rotations(\"aaaa\")\n 1\n >>> find_Rotations(\"abcde\")\n 5\n >>> find_Rotations(\"abcabc\")\n 3\n \"\"\"\n n = len(s)\n if n == 0:\n return 0\n \n # Create a concatenated string\n s_concat = s + s\n \n # Find the first occurrence of the original string in the concatenated string\n index = s_concat.find(s)\n \n # If the original string is not found, return 0\n if index == -1:\n return 0\n \n # Calculate the number of rotations\n rotations = n - index\n \n return rotations"} +{"task_id": "Mbpp/11", "solution": "def remove_Occ(s, char):\n \"\"\"\n Removes the first and last occurrence of a given character from the string.\n \n Parameters:\n s (str): The input string.\n char (str): The character to be removed.\n \n Returns:\n str: The modified string with the first and last occurrence of the character removed.\n \"\"\"\n # Find the first and last occurrence of the character\n first_index = s.find(char)\n last_index = s.rfind(char)\n \n # If the character is not found, return the original string\n if first_index == -1:\n return s\n \n # Remove the first occurrence\n s = s[:first_index] + s[first_index + 1:]\n \n # If the character is not found again, return the modified string\n if last_index == -1:\n return s\n \n # Remove the last occurrence\n s = s[:last_index] + s[last_index + 1:]\n \n return s"} +{"task_id": "Mbpp/12", "solution": "def sort_matrix(matrix):\n \"\"\"\n Sorts a given matrix in ascending order according to the sum of its rows.\n \n Parameters:\n matrix (list of lists): A 2D list representing the matrix.\n \n Returns:\n list of lists: The sorted matrix.\n \"\"\"\n # Calculate the sum of each row\n row_sums = [sum(row) for row in matrix]\n \n # Create a list of tuples (row, sum)\n row_sum_pairs = list(zip(matrix, row_sums))\n \n # Sort the list of tuples based on the sum\n sorted_row_sum_pairs = sorted(row_sum_pairs, key=lambda x: x[1])\n \n # Extract the sorted matrix from the sorted list of tuples\n sorted_matrix = [row for row, _ in sorted_row_sum_pairs]\n \n return sorted_matrix"} +{"task_id": "Mbpp/14", "solution": "def find_Volume(base, height, length):\n \"\"\"\n Calculate the volume of a triangular prism.\n \n Parameters:\n base (float): The base of the triangular prism.\n height (float): The height of the triangular prism.\n length (float): The length of the triangular prism.\n \n Returns:\n float: The volume of the triangular prism.\n \"\"\"\n # Calculate the area of the base\n base_area = (base * height) / 2\n \n # Calculate the volume of the triangular prism\n volume = base_area * length\n \n return volume"} +{"task_id": "Mbpp/16", "solution": "import re\ndef text_lowercase_underscore(text):\n \"\"\"\n This function checks if the input string contains sequences of lowercase letters joined with an underscore.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the string contains sequences of lowercase letters joined with an underscore, False otherwise.\n \"\"\"\n # Use regular expression to check for sequences of lowercase letters joined with an underscore\n pattern = r'[a-z]+_[a-z]+'\n return bool(re.search(pattern, text))"} +{"task_id": "Mbpp/17", "solution": "def square_perimeter(side_length):\n \"\"\"\n Calculate the perimeter of a square given its side length.\n \n Parameters:\n side_length (float): The length of one side of the square.\n \n Returns:\n float: The perimeter of the square.\n \"\"\"\n return 4 * side_length"} +{"task_id": "Mbpp/18", "solution": "def remove_dirty_chars(s1, s2):\n \"\"\"\n Removes characters from the first string which are present in the second string.\n \n Parameters:\n s1 (str): The first string from which characters will be removed.\n s2 (str): The second string containing characters to be removed from s1.\n \n Returns:\n str: The modified string with characters from s2 removed.\n \"\"\"\n # Create a set of characters from s2 for efficient lookup\n s2_set = set(s2)\n \n # Use a list comprehension to filter out characters from s1 that are in s2_set\n cleaned_s1 = [char for char in s1 if char not in s2_set]\n \n # Join the list of characters back into a string\n return ''.join(cleaned_s1)"} +{"task_id": "Mbpp/19", "solution": "def test_duplicate(arr):\n \"\"\"\n This function checks if a given array of integers contains any duplicate element.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n bool: True if the array contains any duplicate element, False otherwise.\n \"\"\"\n # Convert the list to a set to remove duplicates and then compare its length to the original list\n return len(arr) != len(set(arr))"} +{"task_id": "Mbpp/20", "solution": "def is_woodall(n):\n \"\"\"\n Check if the given number is a Woodall number.\n \n A Woodall number is a positive integer that is the product of two consecutive positive integers.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is a Woodall number, False otherwise.\n \"\"\"\n if n <= 0:\n return False\n \n # Initialize the first number to check\n x = 1\n \n # Loop until we find a number that is the product of two consecutive integers\n while True:\n # Calculate the next number to check\n next_number = x * (x + 1)\n \n # If the next number is equal to the given number, it is a Woodall number\n if next_number == n:\n return True\n \n # If the next number is greater than the given number, it is not a Woodall number\n if next_number > n:\n return False\n \n # Move to the next number\n x += 1"} +{"task_id": "Mbpp/56", "solution": "def check(n):\n \"\"\"\n Checks if a given number is one less than twice its reverse.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is one less than twice its reverse, False otherwise.\n \"\"\"\n # Convert the number to a string to reverse it\n str_n = str(n)\n # Reverse the string\n reversed_str = str_n[::-1]\n # Convert the reversed string back to an integer\n reversed_n = int(reversed_str)\n # Check if the number is one less than twice its reverse\n return n == (2 * reversed_n) - 1"} +{"task_id": "Mbpp/57", "solution": "def find_Max_Num(digits):\n \"\"\"\n This function takes a list of digits and returns the largest number that can be formed with those digits.\n \n :param digits: List of integers representing the digits.\n :return: Integer representing the largest number that can be formed with the given digits.\n \"\"\"\n # Convert the list of digits to a string, sort the string in descending order, and then join the characters to form the largest number.\n largest_num = int(''.join(sorted(map(str, digits), reverse=True)))\n return largest_num"} +{"task_id": "Mbpp/58", "solution": "def opposite_Signs(a, b):\n \"\"\"\n This function checks if two integers have opposite signs.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n bool: True if the two integers have opposite signs, False otherwise.\n \"\"\"\n return (a ^ b) < 0"} +{"task_id": "Mbpp/59", "solution": "def is_octagonal(n):\n \"\"\"\n Calculate the nth octagonal number.\n \n An octagonal number is a figurate number that extends the concept of triangular and square numbers to the octagon.\n The nth octagonal number can be calculated using the formula:\n n(3n-2)\n \n :param n: The position of the octagonal number to calculate.\n :return: The nth octagonal number.\n \"\"\"\n return n * (3 * n - 2)"} +{"task_id": "Mbpp/61", "solution": "def count_Substrings(s):\n \"\"\"\n Counts the number of substrings with the sum of digits equal to their length.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The number of substrings with the sum of digits equal to their length.\n \"\"\"\n count = 0\n n = len(s)\n \n # Iterate over all possible substrings\n for i in range(n):\n for j in range(i + 1, n + 1):\n substring = s[i:j]\n sum_of_digits = sum(int(digit) for digit in substring)\n if sum_of_digits == len(substring):\n count += 1\n \n return count"} +{"task_id": "Mbpp/62", "solution": "def smallest_num(numbers):\n \"\"\"\n This function takes a list of numbers and returns the smallest number in the list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The smallest number in the list.\n \"\"\"\n if not numbers:\n raise ValueError(\"The list is empty\")\n return min(numbers)"} +{"task_id": "Mbpp/63", "solution": "def max_difference(tuples_list):\n \"\"\"\n Find the maximum difference between available pairs in the given tuple list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n int: The maximum difference between any two integers in the tuples.\n \"\"\"\n if not tuples_list:\n return 0\n \n max_diff = 0\n for i in range(len(tuples_list)):\n for j in range(i + 1, len(tuples_list)):\n diff = abs(tuples_list[i][0] - tuples_list[j][0])\n if diff > max_diff:\n max_diff = diff\n \n return max_diff"} +{"task_id": "Mbpp/64", "solution": "def subject_marks(marks):\n \"\"\"\n Sorts a list of tuples using the second value of each tuple.\n \n Parameters:\n marks (list): A list of tuples, where each tuple contains a subject and its corresponding mark.\n \n Returns:\n list: The sorted list of tuples.\n \"\"\"\n return sorted(marks, key=lambda x: x[1])"} +{"task_id": "Mbpp/65", "solution": "def recursive_list_sum(lst):\n \"\"\"\n Recursively flattens a list and sums all its elements.\n \n Parameters:\n lst (list): The list to be flattened and summed.\n \n Returns:\n int: The sum of all elements in the flattened list.\n \"\"\"\n total = 0\n for item in lst:\n if isinstance(item, list):\n total += recursive_list_sum(item)\n else:\n total += item\n return total"} +{"task_id": "Mbpp/66", "solution": "def pos_count(numbers):\n \"\"\"\n Counts the number of positive numbers in a list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The number of positive numbers in the list.\n \"\"\"\n count = 0\n for num in numbers:\n if num > 0:\n count += 1\n return count"} +{"task_id": "Mbpp/67", "solution": "def bell_number(n):\n \"\"\"\n Calculate the number of ways to partition a set of Bell numbers.\n \n Parameters:\n n (int): The number of Bell numbers to partition.\n \n Returns:\n int: The number of ways to partition the set of Bell numbers.\n \"\"\"\n # Initialize the Bell triangle\n bell = [[0 for _ in range(n+1)] for _ in range(n+1)]\n bell[0][0] = 1\n \n # Fill the Bell triangle\n for i in range(1, n+1):\n bell[i][0] = bell[i-1][i-1]\n for j in range(1, i+1):\n bell[i][j] = bell[i-1][j-1] + bell[i][j-1]\n \n # The number of ways to partition the set of Bell numbers is the sum of the last row\n return sum(bell[n])"} +{"task_id": "Mbpp/68", "solution": "def is_Monotonic(arr):\n \"\"\"\n Checks if the given array is monotonic.\n \n A monotonic array is one where the elements are either entirely non-increasing or non-decreasing.\n \n Parameters:\n arr (list): The input list of integers.\n \n Returns:\n bool: True if the array is monotonic, False otherwise.\n \"\"\"\n if len(arr) < 2:\n return True # Single element or empty array is always monotonic\n \n # Check if the array is strictly increasing or decreasing\n increasing = all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1))\n decreasing = all(arr[i] >= arr[i + 1] for i in range(len(arr) - 1))\n \n return increasing or decreasing"} +{"task_id": "Mbpp/69", "solution": "def is_sublist(main_list, sublist):\n \"\"\"\n Checks if the sublist is a sublist of the main list.\n \n Parameters:\n main_list (list): The main list to check.\n sublist (list): The sublist to check for.\n \n Returns:\n bool: True if the sublist is a sublist of the main list, False otherwise.\n \"\"\"\n return sublist in main_list"} +{"task_id": "Mbpp/70", "solution": "def get_equal(tuples_list):\n \"\"\"\n This function checks if all tuples in the given list have the same length.\n \n Parameters:\n tuples_list (list): A list of tuples.\n \n Returns:\n bool: True if all tuples have the same length, False otherwise.\n \"\"\"\n if not tuples_list:\n return True # An empty list is considered to have equal length\n \n first_length = len(tuples_list[0])\n return all(len(t) == first_length for t in tuples_list)"} +{"task_id": "Mbpp/71", "solution": "def comb_sort(lst):\n \"\"\"\n Sorts a list using the comb sort algorithm.\n \n Parameters:\n lst (list): The list to be sorted.\n \n Returns:\n list: The sorted list.\n \"\"\"\n gap = len(lst)\n shrink_factor = 1.3\n sorted = False\n\n while not sorted:\n gap = int(gap / shrink_factor)\n if gap <= 1:\n gap = 1\n sorted = True\n i = 0\n while i + gap < len(lst):\n if lst[i] > lst[i + gap]:\n lst[i], lst[i + gap] = lst[i + gap], lst[i]\n i += 1\n return lst"} +{"task_id": "Mbpp/72", "solution": "def dif_Square(n):\n \"\"\"\n Checks if a given number can be represented as the difference of two squares.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number can be represented as the difference of two squares, False otherwise.\n \"\"\"\n # Check if the number is a perfect square\n if n < 0:\n return False\n if int(n**0.5)**2 == n:\n return True\n \n # Check if the number can be represented as the difference of two squares\n for i in range(1, int(n**0.5) + 1):\n if int((n - i**2)**0.5)**2 == n - i**2:\n return True\n return False"} +{"task_id": "Mbpp/74", "solution": "def is_samepatterns(patterns, sequence):\n \"\"\"\n Checks if the sequence follows the patterns array.\n\n Args:\n patterns (list): A list of patterns.\n sequence (list): A list of elements to check against the patterns.\n\n Returns:\n bool: True if the sequence follows the patterns, False otherwise.\n \"\"\"\n if len(patterns) != len(sequence):\n return False\n\n for i in range(len(patterns)):\n if patterns[i] != sequence[i]:\n return False\n\n return True"} +{"task_id": "Mbpp/75", "solution": "def find_tuples(tuples_list, k):\n \"\"\"\n Finds tuples from the given list that contain all elements divisible by k.\n \n Parameters:\n tuples_list (list): A list of tuples.\n k (int): The divisor.\n \n Returns:\n list: A list of tuples that contain all elements divisible by k.\n \"\"\"\n result = []\n for tup in tuples_list:\n if all(x % k == 0 for x in tup):\n result.append(tup)\n return result"} +{"task_id": "Mbpp/77", "solution": "def is_divisible_by_11(n):\n \"\"\"\n Checks if a number is divisible by 11.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is divisible by 11, False otherwise.\n \"\"\"\n # Convert the number to a string to easily access individual digits\n str_n = str(n)\n \n # Initialize the sum of the digits at odd and even positions\n sum_odd = 0\n sum_even = 0\n \n # Iterate over the digits of the number\n for i, digit in enumerate(str_n):\n # If the index is even, add the digit to sum_even\n if i % 2 == 0:\n sum_even += int(digit)\n # If the index is odd, add the digit to sum_odd\n else:\n sum_odd += int(digit)\n \n # Check if the absolute difference between sum_odd and sum_even is divisible by 11\n return abs(sum_odd - sum_even) % 11 == 0\n\n# Test the function with the provided data points\nassert is_divisible_by_11(12345) == False"} +{"task_id": "Mbpp/79", "solution": "def word_len(word):\n \"\"\"\n Checks if the length of the word is odd.\n \n Parameters:\n word (str): The input word to check.\n \n Returns:\n bool: True if the length of the word is odd, False otherwise.\n \"\"\"\n return len(word) % 2 != 0"} +{"task_id": "Mbpp/80", "solution": "def tetrahedral_number(n):\n \"\"\"\n Calculate the nth tetrahedral number.\n \n The nth tetrahedral number is the sum of the first n natural numbers.\n For example, the 5th tetrahedral number is 35 (1 + 2 + 3 + 4 + 5).\n \n Parameters:\n n (int): The position of the tetrahedral number to calculate.\n \n Returns:\n int: The nth tetrahedral number.\n \"\"\"\n return n * (n + 1) * (n + 2) // 6"} +{"task_id": "Mbpp/82", "solution": "import math\ndef volume_sphere(radius):\n \"\"\"\n Calculate the volume of a sphere given its radius.\n \n Parameters:\n radius (float): The radius of the sphere.\n \n Returns:\n float: The volume of the sphere.\n \"\"\"\n return (4/3) * math.pi * (radius ** 3)"} +{"task_id": "Mbpp/84", "solution": "def newman_conway(n):"} +{"task_id": "Mbpp/85", "solution": "import math\ndef surfacearea_sphere(radius):\n \"\"\"\n Calculate the surface area of a sphere given its radius.\n \n Parameters:\n radius (float): The radius of the sphere.\n \n Returns:\n float: The surface area of the sphere.\n \"\"\"\n return 4 * math.pi * radius ** 2"} +{"task_id": "Mbpp/86", "solution": "def centered_hexagonal_number(n):\n \"\"\"\n Calculate the nth centered hexagonal number.\n \n A centered hexagonal number is defined as the sum of the nth hexagonal number and the (n-1)th hexagonal number.\n \n Parameters:\n n (int): The position of the centered hexagonal number to calculate.\n \n Returns:\n int: The nth centered hexagonal number.\n \"\"\"\n # Calculate the nth hexagonal number\n nth_hexagonal = n * (2 * n - 1)\n \n # Calculate the (n-1)th hexagonal number\n n_minus_1_hexagonal = (n - 1) * (2 * (n - 1) - 1)\n \n # Calculate the nth centered hexagonal number\n centered_hexagonal = nth_hexagonal + n_minus_1_hexagonal\n \n return centered_hexagonal"} +{"task_id": "Mbpp/87", "solution": "def merge_dictionaries_three(dict1, dict2, dict3):\n \"\"\"\n Merges three dictionaries into a single dictionary.\n If there are duplicate keys, the value from the last dictionary will be used.\n \n :param dict1: The first dictionary.\n :param dict2: The second dictionary.\n :param dict3: The third dictionary.\n :return: A dictionary containing all key-value pairs from the input dictionaries.\n \"\"\"\n merged_dict = {}\n for d in (dict1, dict2, dict3):\n merged_dict.update(d)\n return merged_dict"} +{"task_id": "Mbpp/88", "solution": "def freq_count(lst):\n \"\"\"\n Returns a dictionary with the frequency of each element in the list.\n \n Parameters:\n lst (list): The input list of elements.\n \n Returns:\n dict: A dictionary with elements as keys and their frequencies as values.\n \"\"\"\n freq_dict = {}\n for element in lst:\n if element in freq_dict:\n freq_dict[element] += 1\n else:\n freq_dict[element] = 1\n return freq_dict"} +{"task_id": "Mbpp/89", "solution": "def closest_num(n):\n \"\"\"\n Finds the closest smaller number than n.\n \n Parameters:\n n (int): The number to find the closest smaller number for.\n \n Returns:\n int: The closest smaller number.\n \"\"\"\n # Convert the number to a string to easily manipulate digits\n num_str = str(n)\n \n # Iterate over the digits from right to left\n for i in range(len(num_str) - 1, -1, -1):\n # If the digit is not 0, decrement it and return the result\n if num_str[i] != '0':\n return int(num_str[:i] + str(int(num_str[i]) - 1) + num_str[i + 1:])\n \n # If all digits are 0, return the number itself\n return n"} +{"task_id": "Mbpp/90", "solution": "def len_log(words):\n \"\"\"\n This function takes a list of words and returns the length of the longest word.\n \n Parameters:\n words (list): A list of strings representing words.\n \n Returns:\n int: The length of the longest word in the list.\n \"\"\"\n if not words:\n return 0\n return max(len(word) for word in words)"} +{"task_id": "Mbpp/91", "solution": "def find_substring(strings, substring):\n \"\"\"\n Checks if a given substring is present as a substring in any string in a list of strings.\n\n Args:\n strings (list): A list of strings.\n substring (str): The substring to search for.\n\n Returns:\n bool: True if the substring is found, False otherwise.\n \"\"\"\n for s in strings:\n if substring in s:\n return True\n return False"} +{"task_id": "Mbpp/92", "solution": "def is_undulating(n):\n \"\"\"\n Checks if a given number is undulating.\n \n An undulating number is a number that alternates between even and odd digits.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is undulating, False otherwise.\n \"\"\"\n # Convert the number to a string to easily access each digit\n num_str = str(n)\n \n # Iterate over the string, checking if each digit is the same as the next one\n for i in range(len(num_str) - 1):\n if num_str[i] == num_str[i + 1]:\n return False\n \n return True"} +{"task_id": "Mbpp/93", "solution": "def power(a, b):\n \"\"\"\n Calculate the value of 'a' to the power 'b'.\n \n Parameters:\n a (int or float): The base number.\n b (int): The exponent.\n \n Returns:\n int or float: The result of a raised to the power b.\n \"\"\"\n return a ** b"} +{"task_id": "Mbpp/94", "solution": "def index_minimum(tuples_list):\n \"\"\"\n Given a list of tuples, returns the first value of the tuple with the smallest second value.\n \n :param tuples_list: List of tuples, where each tuple contains a string and an integer.\n :return: The first value of the tuple with the smallest second value.\n \"\"\"\n if not tuples_list:\n return None\n \n # Initialize the minimum tuple with the first element of the list\n min_tuple = tuples_list[0]\n \n # Iterate over the list to find the tuple with the smallest second value\n for tup in tuples_list:\n if tup[1] < min_tuple[1]:\n min_tuple = tup\n \n return min_tuple[0]"} +{"task_id": "Mbpp/95", "solution": "def find_min_length(list_of_lists):\n \"\"\"\n This function takes a list of lists and returns the length of the smallest list.\n \n Parameters:\n list_of_lists (list): A list of lists.\n \n Returns:\n int: The length of the smallest list.\n \"\"\"\n if not list_of_lists:\n return 0\n return min(len(sublist) for sublist in list_of_lists)\n\n# Test cases\nassert find_min_length([[1], [1, 2]]) == 1\nassert find_min_length([[1, 2, 3], [4, 5], [6]]) == 1\nassert find_min_length([[], [1, 2, 3], [4, 5, 6, 7]]) == 0\nassert find_min_length([]) == 0"} +{"task_id": "Mbpp/96", "solution": "def divisor(n):\n \"\"\"\n Returns the number of divisors of a given integer.\n \n Parameters:\n n (int): The integer for which to find the number of divisors.\n \n Returns:\n int: The number of divisors of the given integer.\n \"\"\"\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count"} +{"task_id": "Mbpp/97", "solution": "def frequency_lists(nested_list):\n \"\"\"\n This function takes a list of lists and returns a dictionary with the frequency of each element.\n \n Parameters:\n nested_list (list): A list of lists.\n \n Returns:\n dict: A dictionary with elements as keys and their frequencies as values.\n \"\"\"\n frequency_dict = {}\n for sublist in nested_list:\n for element in sublist:\n if element in frequency_dict:\n frequency_dict[element] += 1\n else:\n frequency_dict[element] = 1\n return frequency_dict"} +{"task_id": "Mbpp/98", "solution": "import math\ndef multiply_num(numbers):\n \"\"\"\n This function takes a list of numbers, multiplies them all together, and then divides by the length of the list.\n \n Parameters:\n numbers (list): A list of numbers.\n \n Returns:\n float: The result of the multiplication and division.\n \"\"\"\n if not numbers:\n return 0.0 # Return 0 if the list is empty\n product = 1\n for num in numbers:\n product *= num\n return product / len(numbers)"} +{"task_id": "Mbpp/99", "solution": "def decimal_to_binary(n):\n \"\"\"\n Converts a decimal number to its binary equivalent, represented as a string with no leading zeros.\n \n Parameters:\n n (int): The decimal number to be converted.\n \n Returns:\n str: The binary equivalent of the decimal number as a string.\n \"\"\"\n if n == 0:\n return '0'\n binary = ''\n while n > 0:\n binary = str(n % 2) + binary\n n = n // 2\n return binary"} +{"task_id": "Mbpp/100", "solution": "def next_smallest_palindrome(n):\n \"\"\"\n Finds the next smallest palindrome of a specified integer.\n \n Parameters:\n n (int): The input integer.\n \n Returns:\n int: The next smallest palindrome of the input integer.\n \"\"\"\n def is_palindrome(num):\n \"\"\"\n Checks if a number is a palindrome.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is a palindrome, False otherwise.\n \"\"\"\n return str(num) == str(num)[::-1]\n\n def next_smallest_palindrome_helper(num):\n \"\"\"\n Helper function to find the next smallest palindrome.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n int: The next smallest palindrome of the input number.\n \"\"\"\n if is_palindrome(num):\n return num\n else:\n return next_smallest_palindrome_helper(num + 1)\n\n return next_smallest_palindrome_helper(n)"} +{"task_id": "Mbpp/101", "solution": "def kth_element(arr, k):\n \"\"\"\n Find the kth element in the given array using 1-based indexing.\n \n Parameters:\n arr (list): The input array.\n k (int): The position of the element to find (1-based indexing).\n \n Returns:\n int: The kth element in the array.\n \n Raises:\n ValueError: If k is out of range (1 <= k <= len(arr)).\n \"\"\"\n if not 1 <= k <= len(arr):\n raise ValueError(\"k is out of range\")\n return arr[k - 1]"} +{"task_id": "Mbpp/102", "solution": "def snake_to_camel(snake_str):\n \"\"\"\n Converts a snake case string to a camel case string.\n \n Parameters:\n snake_str (str): The snake case string to be converted.\n \n Returns:\n str: The camel case string.\n \"\"\"\n # Split the snake case string into words\n words = snake_str.split('_')\n \n # Capitalize the first word and join the rest of the words\n camel_str = ''.join(word.capitalize() for word in words)\n \n return camel_str"} +{"task_id": "Mbpp/103", "solution": "def eulerian_num(n, m):\n \"\"\"\n Calculate the Eulerian number a(n, m) using the formula:\n a(n, m) = (n - m)! / m!\n \"\"\"\n from math import factorial\n return factorial(n - m) // factorial(m)"} +{"task_id": "Mbpp/104", "solution": "def sort_sublists(list_of_lists):\n \"\"\"\n Sorts each sublist of strings in a given list of lists.\n \n Parameters:\n list_of_lists (list): A list of lists, where each sublist contains strings.\n \n Returns:\n list: A new list of lists, where each sublist is sorted.\n \"\"\"\n return [sorted(sublist) for sublist in list_of_lists]"} +{"task_id": "Mbpp/105", "solution": "def count_true_booleans(lst):\n \"\"\"\n Counts the number of True values in the given list.\n \n Parameters:\n lst (list): A list of boolean values.\n \n Returns:\n int: The number of True values in the list.\n \"\"\"\n return sum(1 for value in lst if value is True)\n\n# Test cases\nassert count_true_booleans([True, False, True]) == 2\nassert count_true_booleans([False, False, False]) == 0\nassert count_true_booleans([True, True, True]) == 3\nassert count_true_booleans([]) == 0"} +{"task_id": "Mbpp/106", "solution": "def add_lists(lst, tup):\n \"\"\"\n Appends the given list to the given tuple.\n \n Parameters:\n lst (list): The list to be appended.\n tup (tuple): The tuple to which the list will be appended.\n \n Returns:\n tuple: The resulting tuple after appending the list.\n \"\"\"\n return tup + tuple(lst)"} +{"task_id": "Mbpp/108", "solution": "def merge_sorted_list(list1, list2, list3):\n \"\"\"\n Merge three sorted lists into a single sorted list.\n \n Parameters:\n list1 (list): The first sorted list.\n list2 (list): The second sorted list.\n list3 (list): The third sorted list.\n \n Returns:\n list: A single sorted list containing all elements from the input lists.\n \"\"\"\n # Combine all lists into one\n combined_list = list1 + list2 + list3\n \n # Sort the combined list\n combined_list.sort()\n \n return combined_list"} +{"task_id": "Mbpp/109", "solution": "def odd_Equivalent(binary_string, rotations):\n \"\"\"\n This function takes a binary string and the number of rotations as input and returns the number of numbers with an odd value when the binary string is rotated the given number of times.\n \n Parameters:\n binary_string (str): A binary string representing a number.\n rotations (int): The number of times the binary string should be rotated.\n \n Returns:\n int: The number of numbers with an odd value when the binary string is rotated the given number of times.\n \"\"\"\n # Convert the binary string to an integer\n num = int(binary_string, 2)\n \n # Initialize a counter for numbers with an odd value\n odd_count = 0\n \n # Iterate over the range of rotations\n for _ in range(rotations):\n # Rotate the binary string to the left by one position\n binary_string = binary_string[1:] + binary_string[0]\n \n # Convert the rotated binary string to an integer\n rotated_num = int(binary_string, 2)\n \n # Check if the rotated number is odd\n if rotated_num % 2 != 0:\n odd_count += 1\n \n return odd_count"} +{"task_id": "Mbpp/111", "solution": "def common_in_nested_lists(nested_lists):\n \"\"\"\n Finds the common elements in a list of nested lists.\n \n Parameters:\n nested_lists (list): A list of lists, where each sublist contains integers.\n \n Returns:\n list: A list of common elements found in all sublists.\n \"\"\"\n # Check if the input is a list of lists\n if not all(isinstance(sublist, list) for sublist in nested_lists):\n raise ValueError(\"Input must be a list of lists.\")\n \n # Check if all sublists contain only integers\n if not all(all(isinstance(item, int) for item in sublist) for sublist in nested_lists):\n raise ValueError(\"All elements in the sublists must be integers.\")\n \n # Find the intersection of all sublists\n common_elements = set(nested_lists[0])\n for sublist in nested_lists[1:]:\n common_elements &= set(sublist)\n \n return list(common_elements)"} +{"task_id": "Mbpp/113", "solution": "def check_integer(s):\n \"\"\"\n Checks if a string represents an integer.\n \n Parameters:\n s (str): The string to check.\n \n Returns:\n bool: True if the string represents an integer, False otherwise.\n \"\"\"\n try:\n int(s)\n return True\n except ValueError:\n return False"} +{"task_id": "Mbpp/116", "solution": "def tuple_to_int(tup):\n \"\"\"\n Converts a tuple of positive integers into a single integer.\n \n Parameters:\n tup (tuple): A tuple of positive integers.\n \n Returns:\n int: The integer representation of the tuple.\n \"\"\"\n return int(''.join(map(str, tup)))"} +{"task_id": "Mbpp/118", "solution": "def string_to_list(s):\n \"\"\"\n Convert a string to a list of strings split on the space character.\n \n Parameters:\n s (str): The input string to be split.\n \n Returns:\n list: A list of strings split by the space character.\n \"\"\"\n return s.split()"} +{"task_id": "Mbpp/119", "solution": "def search(nums):\n \"\"\"\n This function takes a sorted array of integers and returns the element that appears only once.\n \n Parameters:\n nums (list): A sorted array of integers.\n \n Returns:\n int: The element that appears only once in the array.\n \"\"\"\n left, right = 0, len(nums) - 1\n while left < right:\n mid = (left + right) // 2\n if nums[mid] == nums[mid ^ 1]:\n left = mid + 1\n else:\n right = mid\n return nums[left]"} +{"task_id": "Mbpp/120", "solution": "def max_product_tuple(tuples_list):\n \"\"\"\n Finds the maximum absolute product between numbers in pairs of tuples within a given list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n int: The maximum absolute product between numbers in pairs of tuples.\n \"\"\"\n max_product = float('-inf')\n for i in range(len(tuples_list)):\n for j in range(i + 1, len(tuples_list)):\n product = abs(tuples_list[i][0] * tuples_list[j][0])\n if product > max_product:\n max_product = product\n return max_product"} +{"task_id": "Mbpp/123", "solution": "def amicable_numbers_sum(n):\n \"\"\"\n Calculate the sum of all amicable numbers from 1 to n.\n \n An amicable number is a number that is equal to the sum of its proper divisors (excluding itself).\n For example, the proper divisors of 220 are 1, 2, 4, 5, 10, 11, 20, 22, 44, 55, and 110;\n the sum of these divisors is 284. The sum of the proper divisors of 284 is 220, which is the original number.\n \n Parameters:\n n (int): The upper limit of the range to check for amicable numbers.\n \n Returns:\n int: The sum of all amicable numbers from 1 to n.\n \"\"\"\n def sum_of_divisors(num):\n \"\"\"\n Calculate the sum of proper divisors of a given number.\n \n Parameters:\n num (int): The number to find the sum of proper divisors for.\n \n Returns:\n int: The sum of proper divisors of num.\n \"\"\"\n divisors_sum = 1 # 1 is always a divisor\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n divisors_sum += i\n if i != num // i:\n divisors_sum += num // i\n return divisors_sum\n \n amicable_sum = 0\n for i in range(1, n + 1):\n if i == sum_of_divisors(sum_of_divisors(i)) and i != sum_of_divisors(i):\n amicable_sum += i\n return amicable_sum"} +{"task_id": "Mbpp/124", "solution": "import math\ndef angle_complex(z):\n \"\"\"\n Calculate the angle of a complex number in radians.\n \n Parameters:\n z (complex): The complex number.\n \n Returns:\n float: The angle of the complex number in radians.\n \"\"\"\n return math.atan2(z.imag, z.real)"} +{"task_id": "Mbpp/125", "solution": "def find_length(binary_string):\n \"\"\"\n Finds the maximum difference between the number of 0s and number of 1s in any sub-string of the given binary string.\n \n Parameters:\n binary_string (str): A string of 0s and 1s.\n \n Returns:\n int: The maximum difference between the number of 0s and number of 1s in any sub-string.\n \"\"\"\n max_diff = 0\n current_diff = 0\n for char in binary_string:\n if char == '0':\n current_diff += 1\n else:\n current_diff -= 1\n if current_diff > max_diff:\n max_diff = current_diff\n return max_diff"} +{"task_id": "Mbpp/126", "solution": "def sum_common_divisors(a, b):\n \"\"\"\n This function calculates the sum of common divisors of two given numbers.\n \n Parameters:\n a (int): The first number.\n b (int): The second number.\n \n Returns:\n int: The sum of common divisors of a and b.\n \"\"\"\n def gcd(x, y):\n \"\"\"\n This helper function calculates the greatest common divisor of two numbers.\n \n Parameters:\n x (int): The first number.\n y (int): The second number.\n \n Returns:\n int: The greatest common divisor of x and y.\n \"\"\"\n while y:\n x, y = y, x % y\n return x\n\n def sum_divisors(n):\n \"\"\"\n This helper function calculates the sum of divisors of a number.\n \n Parameters:\n n (int): The number.\n \n Returns:\n int: The sum of divisors of n.\n \"\"\"\n result = 0\n for i in range(1, int(n**0.5) + 1):\n if n % i == 0:\n result += i\n if i != n // i:\n result += n // i\n return result\n\n # Calculate the greatest common divisor of a and b\n gcd_value = gcd(a, b)\n \n # Calculate the sum of divisors of the greatest common divisor\n sum_gcd_divisors = sum_divisors(gcd_value)\n \n return sum_gcd_divisors\n\n# Test the function\nassert sum_common_divisors(10, 15) == 6"} +{"task_id": "Mbpp/127", "solution": "def multiply_int(a, b):\n \"\"\"\n This function multiplies two integers.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n int: The product of a and b.\n \"\"\"\n return a * b"} +{"task_id": "Mbpp/128", "solution": "def long_words(n, text):\n \"\"\"\n This function takes an integer n and a string text.\n It returns a list of words from the text that are longer than n characters.\n \n Parameters:\n n (int): The minimum length of words to include in the result.\n text (str): The input string containing words separated by spaces.\n \n Returns:\n list: A list of words from the text that are longer than n characters.\n \"\"\"\n # Split the text into words\n words = text.split()\n \n # Filter words that are longer than n characters\n long_words = [word for word in words if len(word) > n]\n \n return long_words"} +{"task_id": "Mbpp/129", "solution": "def is_magic_square(matrix):\n \"\"\"\n Checks if a given matrix is a magic square.\n \n A magic square is a square grid filled with distinct positive integers such that each cell contains a different integer,\n and the sum of the numbers in each row, each column, and both main diagonals is the same.\n \n :param matrix: A list of lists representing the matrix.\n :return: True if the matrix is a magic square, False otherwise.\n \"\"\"\n # Get the size of the matrix\n n = len(matrix)\n \n # Calculate the sum of the first row\n row_sum = sum(matrix[0])\n \n # Check the sum of each row\n for row in matrix:\n if sum(row) != row_sum:\n return False\n \n # Check the sum of each column\n for col in range(n):\n if sum(matrix[i][col] for i in range(n)) != row_sum:\n return False\n \n # Check the sum of the main diagonal\n if sum(matrix[i][i] for i in range(n)) != row_sum:\n return False\n \n # Check the sum of the secondary diagonal\n if sum(matrix[i][n - i - 1] for i in range(n)) != row_sum:\n return False\n \n return True\n\n# Test the function\nassert is_magic_square([[7, 12, 1, 14], [2, 13, 8, 11], [16, 3, 10, 5], [9, 6, 15, 4]]) == True"} +{"task_id": "Mbpp/130", "solution": "def max_occurrences(lst):\n \"\"\"\n Finds the item with maximum frequency in a given list.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n int: The item with maximum frequency.\n \n Raises:\n ValueError: If the input list is empty.\n \"\"\"\n if not lst:\n raise ValueError(\"Input list cannot be empty\")\n \n # Count the frequency of each item in the list\n frequency = {}\n for item in lst:\n if item in frequency:\n frequency[item] += 1\n else:\n frequency[item] = 1\n \n # Find the item with maximum frequency\n max_item = max(frequency, key=frequency.get)\n \n return max_item"} +{"task_id": "Mbpp/131", "solution": "def reverse_vowels(s: str) -> str:\n \"\"\"\n Reverses the vowels in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with vowels reversed.\n \n Examples:\n >>> reverse_vowels(\"Python\")\n 'Python'\n >>> reverse_vowels(\"Hello World\")\n 'Holle Werld'\n >>> reverse_vowels(\"aeiou\")\n 'uoiea'\n \"\"\"\n vowels = 'aeiouAEIOU'\n vowels_in_s = [char for char in s if char in vowels]\n reversed_vowels = vowels_in_s[::-1]\n \n result = []\n j = 0\n for char in s:\n if char in vowels:\n result.append(reversed_vowels[j])\n j += 1\n else:\n result.append(char)\n \n return ''.join(result)"} +{"task_id": "Mbpp/132", "solution": "def tup_string(tup):\n \"\"\"\n Converts a tuple to a string.\n \n Parameters:\n tup (tuple): The input tuple to be converted.\n \n Returns:\n str: The string representation of the input tuple.\n \"\"\"\n return ''.join(tup)"} +{"task_id": "Mbpp/133", "solution": "def sum_negativenum(numbers):\n \"\"\"\n Calculate the sum of the negative numbers in a given list of numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The sum of the negative numbers in the list.\n \"\"\"\n return sum(num for num in numbers if num < 0)"} +{"task_id": "Mbpp/135", "solution": "def hexagonal_num(n):\n \"\"\"\n Calculate the nth hexagonal number.\n \n Parameters:\n n (int): The position of the hexagonal number to calculate.\n \n Returns:\n int: The nth hexagonal number.\n \"\"\"\n return n * (2 * n - 1)"} +{"task_id": "Mbpp/137", "solution": "import math\ndef zero_count(arr):\n \"\"\"\n Calculate the ratio of zeroes to non-zeroes in an array of integers.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n float: The ratio of zeroes to non-zeroes in the array.\n \"\"\"\n if not arr:\n return 0.0\n \n zero_count = sum(1 for num in arr if num == 0)\n non_zero_count = len(arr) - zero_count\n \n if non_zero_count == 0:\n return 0.0\n \n return zero_count / non_zero_count"} +{"task_id": "Mbpp/138", "solution": "def is_Sum_Of_Powers_Of_Two(n):\n \"\"\"\n Checks if a given number can be represented as the sum of non-zero powers of 2.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number can be represented as the sum of non-zero powers of 2, False otherwise.\n \"\"\"\n # Base case: if n is 0, it can be represented as the sum of non-zero powers of 2\n if n == 0:\n return True\n \n # Initialize a counter to keep track of the number of powers of 2 used\n count = 0\n \n # Iterate over the powers of 2 starting from the highest power\n power = 1\n while power <= n:\n # If the current power of 2 is less than or equal to n, add it to the sum\n if power <= n:\n n -= power\n count += 1\n # Move to the next power of 2\n power *= 2\n \n # If the number of powers of 2 used is greater than 0, it can be represented as the sum of non-zero powers of 2\n return count > 0"} +{"task_id": "Mbpp/139", "solution": "import math\ndef circle_circumference(radius):\n \"\"\"\n Calculate the circumference of a circle given its radius.\n \n Parameters:\n radius (float): The radius of the circle.\n \n Returns:\n float: The circumference of the circle.\n \"\"\"\n return 2 * math.pi * radius"} +{"task_id": "Mbpp/140", "solution": "def extract_singly(list_of_lists):\n \"\"\"\n Flattens a list of lists into a single set of numbers.\n \n Args:\n list_of_lists (list): A list of lists containing numbers.\n \n Returns:\n set: A set containing all unique numbers from the input lists.\n \"\"\"\n # Use a set to automatically remove duplicates and flatten the list\n return set(num for sublist in list_of_lists for num in sublist)"} +{"task_id": "Mbpp/141", "solution": "def pancake_sort(arr):\n \"\"\"\n Sorts a list of elements using the pancake sort algorithm.\n \n Parameters:\n arr (list): A list of elements to be sorted.\n \n Returns:\n list: The sorted list.\n \"\"\"\n def flip(arr, k):\n \"\"\"\n Flips the first k elements of the array.\n \n Parameters:\n arr (list): The array to be flipped.\n k (int): The number of elements to flip.\n \"\"\"\n i = 0\n while i < k // 2:\n arr[i], arr[k - i - 1] = arr[k - i - 1], arr[i]\n i += 1\n \n n = len(arr)\n for i in range(n, 0, -1):\n # Find the maximum element in the unsorted part of the array\n max_idx = arr.index(max(arr[:i]))\n \n # If the maximum element is not at the end, flip it to the end\n if max_idx != i - 1:\n flip(arr, max_idx + 1)\n flip(arr, i)\n \n return arr"} +{"task_id": "Mbpp/142", "solution": "def count_samepair(list1, list2, list3):\n \"\"\"\n Counts the number of items that are identical in the same position of three given lists.\n \n Parameters:\n list1 (list): The first list.\n list2 (list): The second list.\n list3 (list): The third list.\n \n Returns:\n int: The number of items that are identical in the same position of the three lists.\n \"\"\"\n # Initialize a counter for identical items\n count = 0\n \n # Iterate over the lists in parallel\n for item1, item2, item3 in zip(list1, list2, list3):\n # Check if the items are identical in the same position\n if item1 == item2 == item3:\n # Increment the counter if they are identical\n count += 1\n \n # Return the count of identical items\n return count"} +{"task_id": "Mbpp/145", "solution": "def max_Abs_Diff(arr):\n \"\"\"\n This function takes an array of integers and returns the maximum absolute difference between any two elements.\n \n Parameters:\n arr (tuple): A tuple of integers.\n \n Returns:\n int: The maximum absolute difference between any two elements in the array.\n \"\"\"\n # Convert the tuple to a list for easier manipulation\n arr_list = list(arr)\n \n # Initialize the maximum difference to be the difference between the first two elements\n max_diff = abs(arr_list[0] - arr_list[1])\n \n # Iterate through the list to find the maximum difference\n for i in range(len(arr_list)):\n for j in range(i + 1, len(arr_list)):\n diff = abs(arr_list[i] - arr_list[j])\n if diff > max_diff:\n max_diff = diff\n \n return max_diff"} +{"task_id": "Mbpp/160", "solution": "def find_solution(a, b, n):\n \"\"\"\n Finds integers x and y such that ax + by = n.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n n (int): The target value.\n \n Returns:\n tuple: A tuple (x, y) if a solution exists, otherwise None.\n \"\"\"\n # Check if a and b are coprime\n if gcd(a, b) != 1:\n return None\n \n # Use the extended Euclidean algorithm to find x and y\n x, y, gcd_value = extended_gcd(a, b)\n \n # If n is not a multiple of the gcd, no solution exists\n if n % gcd_value != 0:\n return None\n \n # Scale x and y to find the solution\n x *= n // gcd_value\n y *= n // gcd_value\n \n return (x, y)\ndef gcd(a, b):\n \"\"\"\n Computes the greatest common divisor of a and b.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n int: The greatest common divisor of a and b.\n \"\"\"\n while b:\n a, b = b, a % b\n return a\ndef extended_gcd(a, b):\n \"\"\"\n Computes the greatest common divisor of a and b along with the coefficients x and y.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n tuple: A tuple (x, y, gcd) where x and y are the coefficients and gcd is the greatest common divisor.\n \"\"\"\n if a == 0:\n return (0, 1, b)\n else:\n x, y, gcd_value = extended_gcd(b % a, a)\n return (y - (b // a) * x, x, gcd_value)"} +{"task_id": "Mbpp/161", "solution": "def remove_elements(lst, elements_to_remove):\n \"\"\"\n Removes all elements from the given list that are present in the elements_to_remove list.\n \n Parameters:\n lst (list): The list from which elements are to be removed.\n elements_to_remove (list): The list of elements to be removed from the lst.\n \n Returns:\n list: The modified list with elements removed.\n \"\"\"\n return [element for element in lst if element not in elements_to_remove]"} +{"task_id": "Mbpp/162", "solution": "def sum_series(n):\n \"\"\"\n Calculate the sum of the series (n - 2*i) from i=0 to n // 2.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The sum of the series.\n \"\"\"\n total = 0\n for i in range(n // 2 + 1):\n total += n - 2 * i\n return total"} +{"task_id": "Mbpp/165", "solution": "def count_char_position(s):\n \"\"\"\n Counts the number of characters in a string that occur at the same position in the string as in the English alphabet (case insensitive).\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The count of characters that occur at the same position in the string as in the English alphabet.\n \"\"\"\n # Convert the string to lowercase to make the comparison case-insensitive\n s = s.lower()\n # Initialize the count of characters that occur at the same position in the string as in the English alphabet\n count = 0\n # Iterate over the string\n for i in range(len(s)):\n # Check if the character at the current position is the same as its position in the English alphabet\n if s[i] == chr(97 + i): # 'a' is at position 0, 'b' at 1, 'c' at 2, etc.\n count += 1\n return count"} +{"task_id": "Mbpp/166", "solution": "def find_even_pair(nums):\n \"\"\"\n Counts the number of pairs of integers in a list that xor to an even number.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The number of pairs that xor to an even number.\n \"\"\"\n count = 0\n for i in range(len(nums)):\n for j in range(i + 1, len(nums)):\n if nums[i] ^ nums[j] % 2 == 0:\n count += 1\n return count"} +{"task_id": "Mbpp/167", "solution": "def next_power_of_2(n):\n \"\"\"\n Find the smallest power of 2 greater than or equal to n.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The smallest power of 2 greater than or equal to n.\n \"\"\"\n if n <= 0:\n return 1\n return 2 ** (n - 1).bit_length()"} +{"task_id": "Mbpp/168", "solution": "def frequency(numbers, target):\n \"\"\"\n Counts the number of occurrences of a number in a given list.\n \n Parameters:\n numbers (list): The list of numbers to search through.\n target (int): The number to count occurrences of.\n \n Returns:\n int: The number of times the target number appears in the list.\n \"\"\"\n return numbers.count(target)"} +{"task_id": "Mbpp/170", "solution": "def sum_range_list(numbers, start, end):\n \"\"\"\n Returns the sum of numbers in the list within the specified range.\n \n Parameters:\n numbers (list): A list of numbers.\n start (int): The start index of the range (inclusive).\n end (int): The end index of the range (inclusive).\n \n Returns:\n int: The sum of numbers in the specified range.\n \"\"\"\n return sum(numbers[start:end+1])"} +{"task_id": "Mbpp/171", "solution": "def perimeter_pentagon(side_length):\n \"\"\"\n Calculate the perimeter of a regular pentagon given the length of its sides.\n \n Parameters:\n side_length (float): The length of the sides of the pentagon.\n \n Returns:\n float: The perimeter of the pentagon.\n \"\"\"\n return 5 * side_length"} +{"task_id": "Mbpp/172", "solution": "def count_occurance(s):\n \"\"\"\n Counts the number of occurrences of the string 'std' in a given string.\n \n Parameters:\n s (str): The input string to search for 'std'.\n \n Returns:\n int: The number of times 'std' appears in the input string.\n \"\"\"\n return s.count('std')"} +{"task_id": "Mbpp/222", "solution": "def check_type(tup):\n \"\"\"\n Checks if all elements in the given tuple have the same data type.\n \n Parameters:\n tup (tuple): The input tuple to be checked.\n \n Returns:\n bool: True if all elements have the same data type, False otherwise.\n \"\"\"\n if not tup: # Check if the tuple is empty\n return True # An empty tuple is considered to have the same type for all elements\n \n first_type = type(tup[0])\n for element in tup[1:]:\n if type(element) != first_type:\n return False\n return True"} +{"task_id": "Mbpp/223", "solution": "def is_majority(arr, n, x):\n \"\"\"\n Checks if the element x is the majority element in the sorted array arr.\n \n Parameters:\n arr (list): A sorted array of integers.\n n (int): The length of the array.\n x (int): The element to check for majority.\n \n Returns:\n bool: True if x is the majority element, False otherwise.\n \"\"\"\n # Calculate the threshold for the majority element\n threshold = n // 2\n \n # Find the first occurrence of x in the array\n first_occurrence = -1\n for i in range(n):\n if arr[i] == x:\n first_occurrence = i\n break\n \n # If x is not found, it cannot be the majority element\n if first_occurrence == -1:\n return False\n \n # Check if x is the majority element\n return arr[first_occurrence + threshold] == x"} +{"task_id": "Mbpp/224", "solution": "def count_Set_Bits(n):\n \"\"\"\n Counts the number of set bits (binary digits with value 1) in a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number of set bits in the input number.\n \"\"\"\n count = 0\n while n:\n count += n & 1\n n >>= 1\n return count"} +{"task_id": "Mbpp/226", "solution": "def odd_values_string(s):\n \"\"\"\n Removes characters with odd index values from the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with characters at odd indices removed.\n \n Example:\n >>> odd_values_string('abcdef')\n 'ace'\n \"\"\"\n return ''.join([s[i] for i in range(len(s)) if i % 2 == 0])"} +{"task_id": "Mbpp/227", "solution": "def min_of_three(a, b, c):\n \"\"\"\n Returns the minimum of three numbers.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n c (int or float): The third number.\n \n Returns:\n int or float: The minimum of the three numbers.\n \"\"\"\n return min(a, b, c)"} +{"task_id": "Mbpp/230", "solution": "def replace_blank(input_string, replacement_char):\n \"\"\"\n Replaces blank spaces in the input string with the specified character.\n\n Args:\n input_string (str): The input string to be processed.\n replacement_char (str): The character to replace blank spaces with.\n\n Returns:\n str: The processed string with blank spaces replaced.\n \"\"\"\n return input_string.replace(' ', replacement_char)"} +{"task_id": "Mbpp/232", "solution": "def largest_nnum(lst, n):\n \"\"\"\n This function takes in a list and an integer n and returns a list containing the n largest items from the list.\n \n Parameters:\n lst (list): The input list from which to find the n largest items.\n n (int): The number of largest items to return.\n \n Returns:\n list: A list containing the n largest items from the input list.\n \"\"\"\n # Sort the list in descending order\n sorted_lst = sorted(lst, reverse=True)\n # Return the first n items from the sorted list\n return sorted_lst[:n]\n\n# Test the function with the provided data point\nassert set(largest_nnum([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100], 2)) == set([100, 90])"} +{"task_id": "Mbpp/233", "solution": "import math"} +{"task_id": "Mbpp/234", "solution": "def volume_cube(side_length):\n \"\"\"\n Calculate the volume of a cube given its side length.\n \n Parameters:\n side_length (float): The length of one side of the cube.\n \n Returns:\n float: The volume of the cube.\n \"\"\"\n return side_length ** 3"} +{"task_id": "Mbpp/235", "solution": "def even_bit_set_number(n):\n \"\"\"\n This function sets all even bits of a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number with all even bits set.\n \"\"\"\n # Convert the number to binary and get its length\n binary_length = len(bin(n)[2:])\n \n # Create a mask with all even bits set\n mask = 0\n for i in range(binary_length):\n if i % 2 == 0:\n mask |= 1 << i\n \n # Apply the mask to the number\n result = n | mask\n \n return result"} +{"task_id": "Mbpp/237", "solution": "def check_occurences(tuples_list):\n \"\"\"\n This function takes a list of tuples and returns a dictionary mapping each unique tuple to the number of times it occurs in the list.\n \n Parameters:\n tuples_list (list): A list of tuples.\n \n Returns:\n dict: A dictionary mapping each unique tuple to the number of times it occurs in the list.\n \"\"\"\n # Initialize an empty dictionary to store the occurrences\n occurrences = {}\n \n # Iterate over each tuple in the list\n for tup in tuples_list:\n # Sort the tuple to ensure (1, 3) and (3, 1) are considered the same\n sorted_tup = tuple(sorted(tup))\n \n # If the sorted tuple is already in the dictionary, increment its count\n if sorted_tup in occurrences:\n occurrences[sorted_tup] += 1\n # Otherwise, add it to the dictionary with a count of 1\n else:\n occurrences[sorted_tup] = 1\n \n # Return the dictionary of occurrences\n return occurrences"} +{"task_id": "Mbpp/238", "solution": "def number_of_substrings(s):\n \"\"\"\n Counts the number of non-empty substrings of a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The number of non-empty substrings.\n \"\"\"\n n = len(s)\n return n * (n + 1) // 2"} +{"task_id": "Mbpp/239", "solution": "def get_total_number_of_sequences(m, n):\n \"\"\"\n Calculate the number of possible sequences of length n, where each element is a positive integer,\n is greater than or equal to twice the previous element, and is less than or equal to m.\n \n Parameters:\n m (int): The upper limit for each element in the sequence.\n n (int): The length of the sequence.\n \n Returns:\n int: The number of possible sequences.\n \"\"\"\n # Initialize a list to store the number of sequences for each length up to n\n sequences = [0] * (n + 1)\n \n # Base case: a sequence of length 1 can have any number from 1 to m\n sequences[1] = m\n \n # Calculate the number of sequences for each length from 2 to n\n for length in range(2, n + 1):\n for prev_length in range(1, length):\n # Calculate the maximum possible value for the current element\n max_value = min(m, 2 * sequences[prev_length])\n # Add the number of sequences with the current element to the total\n sequences[length] += max_value - sequences[prev_length] + 1\n \n # The total number of sequences is the sum of the sequences for each length up to n\n return sum(sequences)"} +{"task_id": "Mbpp/240", "solution": "def replace_list(list1, list2):\n \"\"\"\n Replaces the last element of the first list with the elements of the second list.\n \n Parameters:\n list1 (list): The first list.\n list2 (list): The second list.\n \n Returns:\n list: The modified list.\n \"\"\"\n # Check if list1 is not empty\n if not list1:\n return list2\n \n # Replace the last element of list1 with list2\n list1[-1] = list2\n \n return list1"} +{"task_id": "Mbpp/242", "solution": "def count_charac(s):\n \"\"\"\n Counts the total number of characters in a string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The total number of characters in the string.\n \"\"\"\n return len(s)"} +{"task_id": "Mbpp/244", "solution": "import math\ndef next_Perfect_Square(n):\n \"\"\"\n This function finds the next perfect square greater than a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The next perfect square greater than n.\n \n Examples:\n >>> next_Perfect_Square(35)\n 36\n \"\"\"\n # Calculate the square root of n\n root = math.sqrt(n)\n \n # Check if the square root is an integer\n if root.is_integer():\n # If it is, the next perfect square is (root + 1)^2\n return (root + 1) ** 2\n else:\n # If it's not, the next perfect square is (root + 1)^2\n return (math.ceil(root) + 1) ** 2"} +{"task_id": "Mbpp/245", "solution": "def max_sum(arr):\n \"\"\"\n Finds the maximum sum of a bitonic subsequence in the given array.\n \n A bitonic subsequence is one where the sequence is first increasing and then decreasing.\n \n Parameters:\n arr (list): The input array.\n \n Returns:\n int: The maximum sum of a bitonic subsequence.\n \"\"\"\n n = len(arr)\n if n < 3:\n return max(arr)\n \n # Initialize dp arrays\n inc = [0] * n\n dec = [0] * n\n \n # Fill the dp arrays\n for i in range(n):\n inc[i] = arr[i]\n dec[i] = arr[i]\n for j in range(i):\n if arr[j] < arr[i]:\n inc[i] = max(inc[i], inc[j] + arr[i])\n if arr[j] > arr[i]:\n dec[i] = max(dec[i], dec[j] + arr[i])\n \n # Find the maximum sum of a bitonic subsequence\n max_sum = max(max(inc), max(dec))\n return max_sum"} +{"task_id": "Mbpp/247", "solution": "def lps(s):\n \"\"\"\n Find the length of the longest palindromic subsequence in the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The length of the longest palindromic subsequence.\n \"\"\"\n n = len(s)\n dp = [[0] * n for _ in range(n)]\n \n # All substrings of length 1 are palindromes of length 1\n for i in range(n):\n dp[i][i] = 1\n \n # Check for palindromes of length 2\n for i in range(n - 1):\n if s[i] == s[i + 1]:\n dp[i][i + 1] = 2\n else:\n dp[i][i + 1] = 1\n \n # Check for palindromes of length 3 to n\n for length in range(3, n + 1):\n for i in range(n - length + 1):\n j = i + length - 1\n if s[i] == s[j]:\n dp[i][j] = dp[i + 1][j - 1] + 2\n else:\n dp[i][j] = max(dp[i + 1][j], dp[i][j - 1])\n \n return dp[0][n - 1]"} +{"task_id": "Mbpp/250", "solution": "def count_X(tup, element):\n \"\"\"\n This function takes in a tuple and an element and counts the occurrences of the element in the tuple.\n \n Parameters:\n tup (tuple): The input tuple.\n element: The element to be counted.\n \n Returns:\n int: The number of occurrences of the element in the tuple.\n \"\"\"\n return tup.count(element)"} +{"task_id": "Mbpp/251", "solution": "def insert_element(lst, element):\n \"\"\"\n Inserts the given element before each element in the list and returns the resulting list.\n \n Parameters:\n lst (list): The input list.\n element: The element to be inserted before each element in the list.\n \n Returns:\n list: The resulting list with the element inserted before each element.\n \"\"\"\n result = []\n for item in lst:\n result.append(element)\n result.append(item)\n return result"} +{"task_id": "Mbpp/252", "solution": "import cmath\ndef convert(complex_number):\n \"\"\"\n Convert a complex number to polar coordinates.\n\n Parameters:\n complex_number (complex): The complex number to convert.\n\n Returns:\n tuple: A tuple containing the magnitude and angle of the polar coordinates.\n \"\"\"\n magnitude = abs(complex_number)\n angle = cmath.phase(complex_number)\n return (magnitude, angle)"} +{"task_id": "Mbpp/253", "solution": "def count_integer(lst):\n \"\"\"\n Returns the number of integer elements in a given list.\n \n Parameters:\n lst (list): The input list.\n \n Returns:\n int: The number of integer elements in the list.\n \"\"\"\n return sum(1 for item in lst if isinstance(item, int))"} +{"task_id": "Mbpp/255", "solution": "from itertools import product\ndef combinations_colors(colors, n):\n \"\"\"\n Generates all combinations (with repetition) of the elements of the list and returns a list with a tuple for each combination.\n \n Parameters:\n colors (list): A list of colors.\n n (int): The length of the combinations.\n \n Returns:\n list: A list of tuples, where each tuple is a combination of colors.\n \"\"\"\n return list(product(colors, repeat=n))"} +{"task_id": "Mbpp/256", "solution": "def count_Primes_nums(n):\n \"\"\"\n This function takes in a non-negative number and returns the number of prime numbers less than the given non-negative number.\n \n Parameters:\n n (int): A non-negative integer.\n \n Returns:\n int: The number of prime numbers less than n.\n \"\"\"\n def is_prime(num):\n \"\"\"\n Helper function to check if a number is prime.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is prime, False otherwise.\n \"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n \n count = 0\n for i in range(2, n):\n if is_prime(i):\n count += 1\n return count"} +{"task_id": "Mbpp/257", "solution": "def swap_numbers(a, b):\n \"\"\"\n Swaps the positions of two numbers and returns a tuple with the second number first and the first number second.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n \n Returns:\n tuple: A tuple containing the second number first and the first number second.\n \n Example:\n >>> swap_numbers(10, 20)\n (20, 10)\n \"\"\"\n return b, a"} +{"task_id": "Mbpp/259", "solution": "def maximize_elements(tuples1, tuples2):\n \"\"\"\n This function takes two tuples of tuples as input and returns a new tuple of tuples where each element is the maximum of the corresponding elements from the input tuples.\n \n :param tuples1: A tuple of tuples where each inner tuple contains two integers.\n :param tuples2: A tuple of tuples where each inner tuple contains two integers.\n :return: A tuple of tuples where each inner tuple contains the maximum of the corresponding elements from the input tuples.\n \"\"\"\n # Initialize an empty list to store the result\n result = []\n \n # Iterate over the tuples in parallel\n for tuple1, tuple2 in zip(tuples1, tuples2):\n # Extract the elements from each tuple\n element1, element2 = tuple1\n element3, element4 = tuple2\n \n # Find the maximum of the corresponding elements\n max_element1 = max(element1, element3)\n max_element2 = max(element2, element4)\n \n # Append the new tuple to the result list\n result.append((max_element1, max_element2))\n \n # Convert the result list to a tuple of tuples\n return tuple(result)"} +{"task_id": "Mbpp/260", "solution": "def newman_prime(n):\n \"\"\"\n Find the nth newman\u2013shanks\u2013williams prime number.\n \n Parameters:\n n (int): The position of the prime number to find.\n \n Returns:\n int: The nth newman\u2013shanks\u2013williams prime number.\n \"\"\"\n def is_prime(num):\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n def newman_shanks_williams(num):\n \"\"\"Check if a number is a newman\u2013shanks\u2013williams prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, num):\n if num % i == 0:\n return False\n return True\n\n count = 0\n num = 2\n while True:\n if newman_shanks_williams(num):\n count += 1\n if count == n:\n return num\n num += 1"} +{"task_id": "Mbpp/261", "solution": "def division_elements(tuple1, tuple2):\n \"\"\"\n This function takes two tuples and performs element-wise division operation.\n \n Parameters:\n tuple1 (tuple): The first tuple of numbers.\n tuple2 (tuple): The second tuple of numbers.\n \n Returns:\n tuple: A tuple of results of element-wise division.\n \n Raises:\n ZeroDivisionError: If an element in tuple2 is zero.\n \"\"\"\n # Check if the tuples have the same length\n if len(tuple1) != len(tuple2):\n raise ValueError(\"Both tuples must have the same length\")\n \n # Perform element-wise division\n result = tuple(a / b for a, b in zip(tuple1, tuple2))\n \n return result"} +{"task_id": "Mbpp/262", "solution": "def split_two_parts(lst, L):\n \"\"\"\n Splits the given list into two parts where the length of the first part is L.\n \n Parameters:\n lst (list): The input list to be split.\n L (int): The length of the first part of the list.\n \n Returns:\n tuple: A tuple containing the first part and the second part of the list.\n \"\"\"\n # Check if L is valid (non-negative and less than or equal to the length of the list)\n if L < 0 or L > len(lst):\n raise ValueError(\"L must be a non-negative integer and less than or equal to the length of the list\")\n \n # Split the list into two parts\n first_part = lst[:L]\n second_part = lst[L:]\n \n return (first_part, second_part)"} +{"task_id": "Mbpp/264", "solution": "def dog_age(human_age):\n \"\"\"\n Calculate a dog's age in dog's years.\n \n Parameters:\n human_age (int): The age of the dog in human years.\n \n Returns:\n int: The age of the dog in dog years.\n \"\"\"\n if human_age <= 2:\n return human_age * 10.5\n else:\n return 21 + (human_age - 2) * 4"} +{"task_id": "Mbpp/265", "solution": "def list_split(lst, n):\n \"\"\"\n Splits a list into sublists every nth element.\n \n Parameters:\n lst (list): The list to be split.\n n (int): The number of elements to split the list by.\n \n Returns:\n list: A list of sublists, each containing n elements from the original list.\n \"\"\"\n return [lst[i:i + n] for i in range(0, len(lst), n)]"} +{"task_id": "Mbpp/266", "solution": "def lateralsurface_cube(side_length):\n \"\"\"\n Calculate the lateral surface area of a cube given its side length.\n \n Parameters:\n side_length (float): The length of one side of the cube.\n \n Returns:\n float: The lateral surface area of the cube.\n \"\"\"\n if side_length <= 0:\n raise ValueError(\"Side length must be a positive number.\")\n return 4 * side_length ** 2"} +{"task_id": "Mbpp/267", "solution": "def square_Sum(n):\n \"\"\"\n This function calculates the sum of the squares of the first n odd natural numbers.\n \n Parameters:\n n (int): The number of odd natural numbers to include in the sum.\n \n Returns:\n int: The sum of the squares of the first n odd natural numbers.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n odd natural numbers\n for i in range(1, 2 * n, 2):\n # Add the square of the current odd number to the total sum\n total_sum += i ** 2\n \n return total_sum"} +{"task_id": "Mbpp/268", "solution": "def find_star_num(n):\n \"\"\"\n Finds the n'th star number.\n \n A star number is defined as the sum of the first n natural numbers.\n \n Parameters:\n n (int): The position of the star number to find.\n \n Returns:\n int: The n'th star number.\n \"\"\"\n return n * (n + 1) // 2"} +{"task_id": "Mbpp/269", "solution": "def ascii_value(char):\n \"\"\"\n Returns the ASCII value of a given character.\n \n Parameters:\n char (str): A single character string.\n \n Returns:\n int: The ASCII value of the character.\n \n Raises:\n ValueError: If the input is not a single character string.\n \"\"\"\n if not isinstance(char, str) or len(char) != 1:\n raise ValueError(\"Input must be a single character string\")\n return ord(char)"} +{"task_id": "Mbpp/270", "solution": "def sum_even_and_even_index(numbers):\n \"\"\"\n This function takes a list of numbers and returns the sum of even numbers at even indices.\n \n :param numbers: List of integers\n :return: Sum of even numbers at even indices\n \"\"\"\n return sum(num for index, num in enumerate(numbers) if index % 2 == 0 and num % 2 == 0)"} +{"task_id": "Mbpp/271", "solution": "def even_Power_Sum(n):\n \"\"\"\n This function calculates the sum of the first n even natural numbers raised to the fifth power.\n \n Parameters:\n n (int): The number of even natural numbers to include in the sum.\n \n Returns:\n int: The sum of the first n even natural numbers raised to the fifth power.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n even natural numbers\n for i in range(2, 2 * n + 1, 2):\n # Add the fifth power of the current number to the sum\n total_sum += i ** 5\n \n return total_sum"} +{"task_id": "Mbpp/272", "solution": "def rear_extract(tuples_list):\n \"\"\"\n Extracts the rear element from each tuple in the list and returns a list of these rear elements.\n \n :param tuples_list: List of tuples, where each tuple has at least one element.\n :return: List of rear elements from each tuple.\n \"\"\"\n return [t[-1] for t in tuples_list]"} +{"task_id": "Mbpp/273", "solution": "def substract_elements(tuple1, tuple2):\n \"\"\"\n Subtracts the elements of the first tuple by the elements of the second tuple with the same index.\n \n Parameters:\n tuple1 (tuple): The first tuple.\n tuple2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple with the result of the subtraction.\n \n Raises:\n ValueError: If the tuples are not of the same length.\n \"\"\"\n if len(tuple1) != len(tuple2):\n raise ValueError(\"Tuples must be of the same length\")\n \n result = []\n for a, b in zip(tuple1, tuple2):\n result.append(a - b)\n \n return tuple(result)"} +{"task_id": "Mbpp/274", "solution": "def even_binomial_Coeff_Sum(n):\n \"\"\"\n Calculate the sum of even index binomial coefficients for a given positive integer n.\n \n Parameters:\n n (int): A positive integer.\n \n Returns:\n int: The sum of even index binomial coefficients.\n \"\"\"\n # Initialize the sum of even index binomial coefficients\n even_sum = 0\n \n # Iterate over the range of binomial coefficients\n for k in range(n + 1):\n # Calculate the binomial coefficient using the formula\n binomial_coeff = binomial_coefficient(n, k)\n \n # Check if the index is even\n if k % 2 == 0:\n # Add the binomial coefficient to the sum\n even_sum += binomial_coeff\n \n return even_sum\ndef binomial_coefficient(n, k):\n \"\"\"\n Calculate the binomial coefficient (n choose k).\n \n Parameters:\n n (int): The total number of items.\n k (int): The number of items to choose.\n \n Returns:\n int: The binomial coefficient.\n \"\"\"\n # Calculate the binomial coefficient using the formula\n return factorial(n) // (factorial(k) * factorial(n - k))\ndef factorial(n):\n \"\"\"\n Calculate the factorial of a given number.\n \n Parameters:\n n (int): A non-negative integer.\n \n Returns:\n int: The factorial of n.\n \"\"\"\n # Initialize the factorial\n result = 1\n \n # Calculate the factorial\n for i in range(1, n + 1):\n result *= i\n \n return result"} +{"task_id": "Mbpp/276", "solution": "import math\ndef volume_cylinder(radius, height):\n \"\"\"\n Calculate the volume of a cylinder given its radius and height.\n \n Parameters:\n radius (float): The radius of the cylinder.\n height (float): The height of the cylinder.\n \n Returns:\n float: The volume of the cylinder.\n \"\"\"\n return math.pi * radius**2 * height"} +{"task_id": "Mbpp/277", "solution": "def dict_filter(d, n):\n \"\"\"\n Filters a dictionary to include only entries with values greater than or equal to n.\n \n Parameters:\n d (dict): The input dictionary.\n n (int): The minimum value to filter by.\n \n Returns:\n dict: A new dictionary containing only the entries with values greater than or equal to n.\n \"\"\"\n return {key: value for key, value in d.items() if value >= n}"} +{"task_id": "Mbpp/278", "solution": "def count_first_elements(tup):\n \"\"\"\n Counts the number of elements that occur before the tuple element in the given tuple.\n \n Parameters:\n tup (tuple): The input tuple.\n \n Returns:\n int: The number of elements that occur before the tuple element.\n \"\"\"\n count = 0\n for element in tup:\n if isinstance(element, tuple):\n break\n count += 1\n return count"} +{"task_id": "Mbpp/279", "solution": "def is_num_decagonal(n):\n \"\"\"\n Calculate the nth decagonal number.\n \n Parameters:\n n (int): The position of the decagonal number to calculate.\n \n Returns:\n int: The nth decagonal number.\n \"\"\"\n return n * (7 * n - 5) // 2"} +{"task_id": "Mbpp/280", "solution": "def sequential_search(arr, element):\n \"\"\"\n Searches for an element in an array using sequential search.\n \n Parameters:\n arr (list): The input array to search in.\n element: The element to search for.\n \n Returns:\n tuple: A tuple containing a boolean indicating if the element is found and the index of the element (or -1 if not found).\n \"\"\"\n for i, item in enumerate(arr):\n if item == element:\n return (True, i)\n return (False, -1)"} +{"task_id": "Mbpp/281", "solution": "def all_unique(lst):\n \"\"\"\n Checks if all elements in the given list are unique.\n \n Parameters:\n lst (list): The list to check for uniqueness.\n \n Returns:\n bool: True if all elements are unique, False otherwise.\n \"\"\"\n return len(lst) == len(set(lst))"} +{"task_id": "Mbpp/282", "solution": "def sub_list(list1, list2):\n \"\"\"\n Subtracts two lists element-wise.\n \n Parameters:\n list1 (list): The first list to be subtracted.\n list2 (list): The second list to be subtracted.\n \n Returns:\n list: A list containing the result of subtracting list2 from list1 element-wise.\n \n Raises:\n ValueError: If the input lists are not of the same length.\n \"\"\"\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must be of the same length.\")\n return [a - b for a, b in zip(list1, list2)]"} +{"task_id": "Mbpp/283", "solution": "def validate(n):\n \"\"\"\n Check if the frequency of each digit in the integer is less than or equal to the digit itself.\n \n Parameters:\n n (int): The input integer.\n \n Returns:\n bool: True if the condition is met, False otherwise.\n \"\"\"\n # Convert the integer to a string to easily iterate over each digit\n str_n = str(n)\n \n # Create a dictionary to store the frequency of each digit\n digit_freq = {}\n \n # Count the frequency of each digit\n for digit in str_n:\n if digit in digit_freq:\n digit_freq[digit] += 1\n else:\n digit_freq[digit] = 1\n \n # Check if the frequency of each digit is less than or equal to the digit itself\n for digit, freq in digit_freq.items():\n if int(digit) < freq:\n return False\n \n return True"} +{"task_id": "Mbpp/284", "solution": "def check_element(lst, element):\n \"\"\"\n Checks if all elements in the list are equal to the given element.\n \n Parameters:\n lst (list): The list to be checked.\n element: The element to compare with.\n \n Returns:\n bool: True if all elements are equal to the given element, False otherwise.\n \"\"\"\n return all(item == element for item in lst)"} +{"task_id": "Mbpp/285", "solution": "import re\ndef text_match_two_three(text):\n \"\"\"\n Checks if the string contains the 'a' character followed by two or three 'b' characters.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the pattern is found, False otherwise.\n \"\"\"\n # Define the regular expression pattern\n pattern = r'ab{2,3}'\n \n # Use the re.search function to find the pattern in the text\n match = re.search(pattern, text)\n \n # Return True if the pattern is found, False otherwise\n return bool(match)"} +{"task_id": "Mbpp/286", "solution": "def max_sub_array_sum_repeated(arr, k, n):\n \"\"\"\n Finds the largest sum of a contiguous subarray in the modified array formed by repeating the given array k times.\n \n Parameters:\n arr (list): The input array.\n k (int): The number of times the array is repeated.\n n (int): The length of the array.\n \n Returns:\n int: The largest sum of a contiguous subarray.\n \"\"\"\n # Calculate the sum of the array\n total_sum = sum(arr)\n \n # Calculate the sum of the array repeated k times\n repeated_sum = total_sum * k\n \n # Calculate the maximum subarray sum using Kadane's algorithm\n max_sum = current_sum = repeated_sum\n for num in arr * k:\n current_sum = max(num, current_sum + num)\n max_sum = max(max_sum, current_sum)\n \n return max_sum"} +{"task_id": "Mbpp/287", "solution": "def square_Sum(n):\n \"\"\"\n This function takes an integer n and returns the sum of squares of the first n even natural numbers.\n \n Parameters:\n n (int): The number of even natural numbers to consider.\n \n Returns:\n int: The sum of squares of the first n even natural numbers.\n \"\"\"\n # Initialize the sum of squares\n sum_of_squares = 0\n \n # Iterate over the first n even natural numbers\n for i in range(2, 2 * n + 1, 2):\n # Add the square of the current number to the sum\n sum_of_squares += i ** 2\n \n return sum_of_squares"} +{"task_id": "Mbpp/290", "solution": "def max_length(lst):\n \"\"\"\n Finds the list of maximum length in a list of lists.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n tuple: A tuple containing the maximum length and the list with the maximum length.\n \"\"\"\n if not lst:\n return 0, []\n \n max_len = max(len(sublist) for sublist in lst)\n max_list = [sublist for sublist in lst if len(sublist) == max_len]\n \n return max_len, max_list[0] if max_list else []"} +{"task_id": "Mbpp/292", "solution": "def find(a, b):\n \"\"\"\n This function takes two integers a and b as input and returns the quotient of a divided by b, rounded down to the nearest integer.\n \n Parameters:\n a (int): The dividend.\n b (int): The divisor.\n \n Returns:\n int: The quotient of a divided by b, rounded down to the nearest integer.\n \n Raises:\n ValueError: If b is zero, as division by zero is undefined.\n \"\"\"\n if b == 0:\n raise ValueError(\"Division by zero is undefined\")\n return a // b"} +{"task_id": "Mbpp/293", "solution": "import math\ndef otherside_rightangle(a, b):\n \"\"\"\n Calculate the third side of a right-angled triangle given two sides.\n \n Parameters:\n a (float): The length of the first side.\n b (float): The length of the second side.\n \n Returns:\n float: The length of the third side.\n \"\"\"\n # Calculate the third side using the Pythagorean theorem\n c = math.sqrt(a**2 + b**2)\n return c"} +{"task_id": "Mbpp/294", "solution": "def max_val(lst):\n \"\"\"\n Finds the maximum value in a given heterogeneous list.\n \n Parameters:\n lst (list): A list containing integers and/or strings.\n \n Returns:\n int: The maximum value in the list.\n \n Raises:\n ValueError: If the list is empty or contains no numeric values.\n \"\"\"\n # Filter out non-numeric values and find the maximum\n numeric_values = [x for x in lst if isinstance(x, (int, float))]\n if not numeric_values:\n raise ValueError(\"The list is empty or contains no numeric values.\")\n return max(numeric_values)"} +{"task_id": "Mbpp/296", "solution": "def get_Inv_Count(arr):\n \"\"\"\n Counts the number of inversions in an array.\n \n An inversion is defined as a pair (i, j) where i < j and arr[i] > arr[j].\n \n Parameters:\n arr (list): The input array.\n \n Returns:\n int: The number of inversions in the array.\n \"\"\"\n def merge_and_count(left, right):\n \"\"\"\n Merges two sorted arrays and counts the number of inversions.\n \n Parameters:\n left (list): The left sorted array.\n right (list): The right sorted array.\n \n Returns:\n tuple: A tuple containing the merged array and the number of inversions.\n \"\"\"\n i = j = inv_count = 0\n merged = []\n while i < len(left) and j < len(right):\n if left[i] <= right[j]:\n merged.append(left[i])\n i += 1\n else:\n merged.append(right[j])\n inv_count += len(left) - i\n j += 1\n merged.extend(left[i:])\n merged.extend(right[j:])\n return merged, inv_count\n\n def merge_sort_and_count(arr):\n \"\"\"\n Sorts the array and counts the number of inversions using merge sort.\n \n Parameters:\n arr (list): The input array.\n \n Returns:\n tuple: A tuple containing the sorted array and the number of inversions.\n \"\"\"\n if len(arr) <= 1:\n return arr, 0\n mid = len(arr) // 2\n left, left_inv = merge_sort_and_count(arr[:mid])\n right, right_inv = merge_sort_and_count(arr[mid:])\n merged, split_inv = merge_and_count(left, right)\n return merged, left_inv + right_inv + split_inv\n\n _, inversions = merge_sort_and_count(arr)\n return inversions"} +{"task_id": "Mbpp/297", "solution": "def flatten_list(nested_list):\n \"\"\"\n Flattens a given nested list structure.\n \n Parameters:\n nested_list (list): A list containing integers and/or other nested lists.\n \n Returns:\n list: A flattened list containing all integers from the input list.\n \"\"\"\n flat_list = []\n for item in nested_list:\n if isinstance(item, list):\n flat_list.extend(flatten_list(item))\n else:\n flat_list.append(item)\n return flat_list"} +{"task_id": "Mbpp/299", "solution": "def max_aggregate(tuples_list):\n \"\"\"\n Calculate the maximum aggregate from the list of tuples.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains a name and a number.\n \n Returns:\n tuple: A tuple containing the name with the maximum aggregate and the maximum aggregate value.\n \"\"\"\n # Initialize a dictionary to store the aggregates\n aggregates = {}\n \n # Iterate over the list of tuples\n for name, number in tuples_list:\n # If the name is already in the dictionary, add the number to its aggregate\n if name in aggregates:\n aggregates[name] += number\n # If the name is not in the dictionary, add it with the number as its aggregate\n else:\n aggregates[name] = number\n \n # Find the name with the maximum aggregate\n max_name = max(aggregates, key=aggregates.get)\n \n # Return the name and its maximum aggregate\n return (max_name, aggregates[max_name])"} +{"task_id": "Mbpp/300", "solution": "import math"} +{"task_id": "Mbpp/301", "solution": "def dict_depth(d):\n \"\"\"\n Recursively calculates the depth of a dictionary.\n \n Parameters:\n d (dict): The dictionary to calculate the depth of.\n \n Returns:\n int: The depth of the dictionary.\n \"\"\"\n if not isinstance(d, dict):\n return 0\n if not d:\n return 1\n return 1 + max(dict_depth(v) for v in d.values())"} +{"task_id": "Mbpp/305", "solution": "def start_withp(words):\n \"\"\"\n Returns two words from a list of words starting with letter 'p'.\n \n Parameters:\n words (list): A list of strings, where each string can contain multiple words.\n \n Returns:\n tuple: A tuple containing two words starting with 'p'.\n \n Raises:\n ValueError: If there are less than two words starting with 'p'.\n \"\"\"\n p_words = [word for word in words if word.startswith('p')]\n if len(p_words) < 2:\n raise ValueError(\"There are less than two words starting with 'p'.\")\n return tuple(p_words[:2])"} +{"task_id": "Mbpp/306", "solution": "def max_sum_increasing_subseq(arr, n, k, i):\n \"\"\"\n Find the maximum sum of increasing subsequence from prefix until ith index and also including a given kth element which is after i, i.e., k > i .\n \n Parameters:\n arr (list): The input list of integers.\n n (int): The length of the input list.\n k (int): The index of the element to include in the subsequence.\n i (int): The index up to which the subsequence should be considered.\n \n Returns:\n int: The maximum sum of the increasing subsequence.\n \"\"\"\n # Initialize the maximum sum to 0\n max_sum = 0\n \n # Initialize the current sum to 0\n current_sum = 0\n \n # Iterate over the array up to the given index i\n for j in range(i + 1):\n # If the current element is greater than the previous element, add it to the current sum\n if j == 0 or (j > 0 and arr[j] > arr[j - 1]):\n current_sum += arr[j]\n # If the current element is equal to the previous element, reset the current sum\n else:\n current_sum = arr[j]\n \n # Update the maximum sum if the current sum is greater\n max_sum = max(max_sum, current_sum)\n \n # Add the kth element to the maximum sum\n max_sum += arr[k]\n \n return max_sum"} +{"task_id": "Mbpp/308", "solution": "def large_product(list1, list2, n):\n \"\"\"\n This function takes two lists of integers and an integer n, and returns a list of the n largest products of one element from each list.\n \n Parameters:\n list1 (list): The first list of integers.\n list2 (list): The second list of integers.\n n (int): The number of largest products to return.\n \n Returns:\n list: A list of the n largest products of one element from each list.\n \"\"\"\n # Initialize an empty list to store the products\n products = []\n \n # Iterate over each element in the first list\n for num1 in list1:\n # Iterate over each element in the second list\n for num2 in list2:\n # Calculate the product and append it to the products list\n products.append(num1 * num2)\n \n # Sort the products list in descending order\n products.sort(reverse=True)\n \n # Return the first n elements of the sorted list\n return products[:n]"} +{"task_id": "Mbpp/309", "solution": "def maximum(a, b):\n \"\"\"\n This function takes two numbers as input and returns the maximum of the two.\n \n Parameters:\n a (int): The first number.\n b (int): The second number.\n \n Returns:\n int: The maximum of the two numbers.\n \"\"\"\n if a > b:\n return a\n else:\n return b"} +{"task_id": "Mbpp/310", "solution": "def string_to_tuple(s):\n \"\"\"\n Convert a given string to a tuple of characters.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n tuple: A tuple of characters from the input string.\n \n Example:\n >>> string_to_tuple(\"python 3.0\")\n ('p', 'y', 't', 'h', 'o', 'n', '3', '.', '0')\n \"\"\"\n return tuple(s)"} +{"task_id": "Mbpp/311", "solution": "def set_left_most_unset_bit(n):\n \"\"\"\n This function sets the left most unset bit in the binary representation of a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number with the left most unset bit set.\n \"\"\"\n # Convert the number to binary and remove the '0b' prefix\n binary_str = bin(n)[2:]\n \n # Find the index of the left most unset bit\n for i, bit in enumerate(binary_str):\n if bit == '0':\n # Set the left most unset bit and convert back to integer\n binary_str = binary_str[:i] + '1' + binary_str[i+1:]\n return int(binary_str, 2)\n \n # If no unset bit is found, set the left most bit\n return int(binary_str, 2) + 2**(len(binary_str))"} +{"task_id": "Mbpp/312", "solution": "import math\ndef volume_cone(radius, height):\n \"\"\"\n Calculate the volume of a cone given its radius and height.\n \n Parameters:\n radius (float): The radius of the cone.\n height (float): The height of the cone.\n \n Returns:\n float: The volume of the cone.\n \"\"\"\n return (1/3) * math.pi * radius**2 * height"} +{"task_id": "Mbpp/388", "solution": "def highest_Power_of_2(n):\n \"\"\"\n This function finds the highest power of 2 that is less than or equal to n.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The highest power of 2 that is less than or equal to n.\n \"\"\"\n # Initialize the result to 1\n result = 1\n \n # Loop until the result is greater than n\n while result <= n:\n # Double the result to find the next power of 2\n result *= 2\n \n # Return the result divided by 2 to get the highest power of 2\n return result // 2"} +{"task_id": "Mbpp/389", "solution": "def find_lucas(n):\n \"\"\"\n Find the n'th Lucas number.\n \n The Lucas sequence is similar to the Fibonacci sequence but starts with 2 and 1 instead of 0 and 1.\n \n Parameters:\n n (int): The position of the Lucas number to find.\n \n Returns:\n int: The n'th Lucas number.\n \"\"\"\n if n == 0:\n return 2\n elif n == 1:\n return 1\n else:\n a, b = 2, 1\n for _ in range(2, n + 1):\n a, b = b, a + b\n return b"} +{"task_id": "Mbpp/390", "solution": "def add_string(lst, fmt_str):\n \"\"\"\n Applies a given format string to all elements in a list.\n \n Parameters:\n lst (list): The list of elements to be formatted.\n fmt_str (str): The format string to be applied.\n \n Returns:\n list: A new list with the format string applied to each element.\n \"\"\"\n return [fmt_str.format(x) for x in lst]"} +{"task_id": "Mbpp/391", "solution": "def convert_list_dictionary(keys, names, values):\n \"\"\"\n Convert multiple lists into a nested dictionary.\n \n Parameters:\n keys (list): List of keys.\n names (list): List of names.\n values (list): List of values.\n \n Returns:\n list: A list of dictionaries with keys and values.\n \"\"\"\n result = []\n for key, name, value in zip(keys, names, values):\n result.append({key: {name: value}})\n return result"} +{"task_id": "Mbpp/392", "solution": "def get_max_sum(n):\n \"\"\"\n Calculate the maximum sum possible using the given equation f(n) = max( (f(n/2) + f(n/3) + f(n/4) + f(n/5)), n).\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The maximum sum possible.\n \"\"\"\n if n <= 1:\n return n\n return max(get_max_sum(n // 2) + get_max_sum(n // 3) + get_max_sum(n // 4) + get_max_sum(n // 5), n)"} +{"task_id": "Mbpp/394", "solution": "def check_distinct(tup):\n \"\"\"\n Checks if all elements in the given tuple are distinct.\n \n Args:\n tup (tuple): The input tuple to check.\n \n Returns:\n bool: True if all elements are distinct, False otherwise.\n \"\"\"\n return len(tup) == len(set(tup))"} +{"task_id": "Mbpp/395", "solution": "def first_non_repeating_character(s):\n \"\"\"\n Finds the first non-repeated character in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The first non-repeated character, or None if no such character exists.\n \"\"\"\n # Create a dictionary to store character counts\n char_count = {}\n \n # Iterate over each character in the string\n for char in s:\n # If the character is already in the dictionary, increment its count\n if char in char_count:\n char_count[char] += 1\n # Otherwise, add the character to the dictionary with a count of 1\n else:\n char_count[char] = 1\n \n # Iterate over each character in the string again\n for char in s:\n # If the count of the character is 1, it is the first non-repeated character\n if char_count[char] == 1:\n return char\n \n # If no non-repeated character is found, return None\n return None"} +{"task_id": "Mbpp/397", "solution": "def median_numbers(a, b, c):\n \"\"\"\n This function takes three numbers as input and returns their median.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n c (int or float): The third number.\n \n Returns:\n float: The median of the three numbers.\n \"\"\"\n # Sort the numbers in ascending order\n sorted_numbers = sorted([a, b, c])\n \n # The median is the middle number in the sorted list\n return sorted_numbers[1]"} +{"task_id": "Mbpp/398", "solution": "def sum_of_digits(numbers):\n \"\"\"\n Compute the sum of digits of each number in a given list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n list: A list of sums of digits for each number in the input list.\n \"\"\"\n def sum_of_digits_single(number):\n \"\"\"\n Compute the sum of digits of a single number.\n \n Parameters:\n number (int): A single integer.\n \n Returns:\n int: The sum of digits of the input number.\n \"\"\"\n return sum(int(digit) for digit in str(number))\n \n return [sum_of_digits_single(num) for num in numbers]"} +{"task_id": "Mbpp/404", "solution": "def minimum(a, b):\n \"\"\"\n Returns the minimum of two numbers.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n \n Returns:\n int or float: The minimum of the two numbers.\n \"\"\"\n return a if a < b else b"} +{"task_id": "Mbpp/405", "solution": "def check_tuplex(tuplex, element):\n \"\"\"\n Checks if an element exists within a tuple.\n\n Args:\n tuplex (tuple): The tuple to search in.\n element: The element to search for.\n\n Returns:\n bool: True if the element is found, False otherwise.\n \"\"\"\n return element in tuplex"} +{"task_id": "Mbpp/406", "solution": "def find_Parity(num):\n \"\"\"\n This function checks if the parity of a given number is odd.\n \n Parameters:\n num (int): The number to check for odd parity.\n \n Returns:\n bool: True if the parity is odd, False otherwise.\n \"\"\"\n return num % 2 != 0"} +{"task_id": "Mbpp/409", "solution": "def min_product_tuple(tuples_list):\n \"\"\"\n Finds the minimum product from the pairs of tuples within a given list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n int: The minimum product of the pairs of tuples.\n \"\"\"\n # Initialize the minimum product to a large number\n min_product = float('inf')\n \n # Iterate over each tuple in the list\n for tup in tuples_list:\n # Calculate the product of the current tuple\n product = tup[0] * tup[1]\n # Update the minimum product if the current product is smaller\n if product < min_product:\n min_product = product\n \n return min_product"} +{"task_id": "Mbpp/410", "solution": "def min_val(lst):\n \"\"\"\n Finds the minimum value in a given heterogeneous list.\n \n Parameters:\n lst (list): A list containing heterogeneous elements.\n \n Returns:\n int or str: The minimum value in the list.\n \n Raises:\n TypeError: If the list is empty or contains non-numeric values.\n \"\"\"\n if not lst:\n raise TypeError(\"The list is empty.\")\n \n min_value = None\n for item in lst:\n if isinstance(item, (int, float)):\n if min_value is None or item < min_value:\n min_value = item\n elif isinstance(item, str):\n if min_value is None or item < min_value:\n min_value = item\n else:\n raise TypeError(\"The list contains non-numeric values.\")\n \n if min_value is None:\n raise TypeError(\"The list contains non-numeric values.\")\n \n return min_value"} +{"task_id": "Mbpp/412", "solution": "def remove_odd(numbers):\n \"\"\"\n Removes odd numbers from a given list.\n\n Args:\n numbers (list): A list of integers.\n\n Returns:\n list: A list with odd numbers removed.\n \"\"\"\n return [num for num in numbers if num % 2 == 0]"} +{"task_id": "Mbpp/413", "solution": "def extract_nth_element(tuples_list, n):\n \"\"\"\n Extracts the nth element from a list of tuples.\n \n Parameters:\n tuples_list (list): A list of tuples.\n n (int): The index of the element to extract.\n \n Returns:\n list: A list containing the nth element from each tuple.\n \"\"\"\n return [t[n] for t in tuples_list]"} +{"task_id": "Mbpp/414", "solution": "def overlapping(seq1, seq2):\n \"\"\"\n Checks if any value in the first sequence exists in the second sequence.\n \n Parameters:\n seq1 (list): The first sequence to check.\n seq2 (list): The second sequence to check.\n \n Returns:\n bool: True if any value in seq1 exists in seq2, False otherwise.\n \"\"\"\n return any(item in seq2 for item in seq1)"} +{"task_id": "Mbpp/415", "solution": "def max_Product(arr):\n \"\"\"\n Finds a pair with the highest product from a given array of integers.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n tuple: A tuple containing the two integers with the highest product.\n \n Raises:\n ValueError: If the input list has less than two elements.\n \"\"\"\n if len(arr) < 2:\n raise ValueError(\"Input list must have at least two elements\")\n \n # Initialize the maximum product and the pair of numbers\n max_product = float('-inf')\n result = (None, None)\n \n # Iterate over all possible pairs of numbers\n for i in range(len(arr)):\n for j in range(i + 1, len(arr)):\n product = arr[i] * arr[j]\n if product > max_product:\n max_product = product\n result = (arr[i], arr[j])\n \n return result"} +{"task_id": "Mbpp/418", "solution": "def find_max_length(lst):\n \"\"\"\n Finds the element of a list with the maximum length.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n list: The list with the maximum length.\n \n Raises:\n ValueError: If the input list is empty.\n \"\"\"\n if not lst:\n raise ValueError(\"Input list cannot be empty\")\n \n # Find the maximum length of the sublists\n max_length = max(len(sublist) for sublist in lst)\n \n # Find the sublist with the maximum length\n max_sublist = [sublist for sublist in lst if len(sublist) == max_length]\n \n # Return the first sublist with the maximum length (assuming there is only one)\n return max_sublist[0]\n\n# Test the function\nassert find_max_length([['A'], ['A', 'B'], ['A', 'B', 'C']]) == ['A', 'B', 'C']"} +{"task_id": "Mbpp/419", "solution": "def round_and_sum(numbers):\n \"\"\"\n Rounds each number in the given list and returns the sum multiplied by the length of the list.\n \n Parameters:\n numbers (list): A list of floating-point numbers.\n \n Returns:\n int: The sum of the rounded numbers multiplied by the length of the list.\n \"\"\"\n # Round each number in the list\n rounded_numbers = [round(num) for num in numbers]\n \n # Calculate the sum of the rounded numbers\n total_sum = sum(rounded_numbers)\n \n # Multiply the sum by the length of the list\n result = total_sum * len(numbers)\n \n return result"} +{"task_id": "Mbpp/420", "solution": "def cube_Sum(n):\n \"\"\"\n Calculate the cube sum of the first n even natural numbers.\n \n Parameters:\n n (int): The number of even natural numbers to include in the sum.\n \n Returns:\n int: The cube sum of the first n even natural numbers.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n even natural numbers\n for i in range(2, 2 * n + 1, 2):\n # Add the cube of the current number to the sum\n total_sum += i ** 3\n \n return total_sum"} +{"task_id": "Mbpp/421", "solution": "def concatenate_tuple(tup, delimiter='-'):\n \"\"\"\n Concatenate each element of a tuple into a single string separated by a delimiter.\n \n Parameters:\n tup (tuple): The input tuple to be concatenated.\n delimiter (str, optional): The delimiter to use between elements. Defaults to '-'.\n \n Returns:\n str: The concatenated string.\n \"\"\"\n return delimiter.join(map(str, tup))"} +{"task_id": "Mbpp/422", "solution": "def find_Average_Of_Cube(n):\n \"\"\"\n This function calculates the average of cubes of the first n natural numbers.\n \n Parameters:\n n (int): The number of natural numbers to consider.\n \n Returns:\n float: The average of cubes of the first n natural numbers.\n \"\"\"\n # Calculate the sum of cubes of the first n natural numbers\n sum_of_cubes = sum(i**3 for i in range(1, n + 1))\n \n # Calculate the average of cubes\n average_of_cubes = sum_of_cubes / n\n \n return average_of_cubes"} +{"task_id": "Mbpp/424", "solution": "def extract_rear(tup):\n \"\"\"\n Extracts the rear index element of each string in the given tuple.\n \n Parameters:\n tup (tuple): A tuple of strings.\n \n Returns:\n list: A list of rear index elements of the strings in the tuple.\n \"\"\"\n return [s[-1] for s in tup]"} +{"task_id": "Mbpp/425", "solution": "def count_element_in_list(lst, element):\n \"\"\"\n Counts the number of sublists in a list that contain a specific element.\n \n Parameters:\n lst (list): The list of sublists to search through.\n element: The element to search for in the sublists.\n \n Returns:\n int: The number of sublists containing the specified element.\n \"\"\"\n count = 0\n for sublist in lst:\n if element in sublist:\n count += 1\n return count"} +{"task_id": "Mbpp/426", "solution": "def filter_oddnumbers(numbers):\n \"\"\"\n This function filters out the odd numbers from a list of numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n list: A list of odd numbers from the input list.\n \"\"\"\n return [num for num in numbers if num % 2 != 0]"} +{"task_id": "Mbpp/427", "solution": "def change_date_format(date_str):\n \"\"\"\n Converts a date of yyyy-mm-dd format to dd-mm-yyyy format.\n \n Parameters:\n date_str (str): A string representing a date in yyyy-mm-dd format.\n \n Returns:\n str: A string representing the same date in dd-mm-yyyy format.\n \n Example:\n >>> change_date_format(\"2026-01-02\")\n '02-01-2026'\n \"\"\"\n # Split the input string into year, month, and day\n year, month, day = date_str.split('-')\n \n # Return the date in dd-mm-yyyy format\n return f\"{day}-{month}-{year}\""} +{"task_id": "Mbpp/428", "solution": "def shell_sort(arr):\n \"\"\"\n Sorts the given array using shell sort.\n \n Parameters:\n arr (list): The input array to be sorted.\n \n Returns:\n list: The sorted array.\n \"\"\"\n n = len(arr)\n gap = n // 2\n \n # Start with a big gap, then reduce the gap\n while gap > 0:\n # Do a gapped insertion sort for this gap size.\n for i in range(gap, n):\n temp = arr[i]\n j = i\n # Shift earlier gap-sorted elements up until the correct location for temp is found\n while j >= gap and arr[j - gap] > temp:\n arr[j] = arr[j - gap]\n j -= gap\n # Put temp (the original arr[i]) in its correct location\n arr[j] = temp\n # Reduce the gap for the next iteration\n gap //= 2\n \n return arr"} +{"task_id": "Mbpp/429", "solution": "def and_tuples(t1, t2):\n \"\"\"\n Extracts the elementwise and tuples from the given two tuples.\n \n Parameters:\n t1 (tuple): The first tuple.\n t2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple containing the elementwise and of the two input tuples.\n \n Example:\n >>> and_tuples((10, 4, 6, 9), (5, 2, 3, 3))\n (0, 0, 2, 1)\n \"\"\"\n return tuple(a & b for a, b in zip(t1, t2))"} +{"task_id": "Mbpp/430", "solution": "def parabola_directrix(a, b, c):\n \"\"\"\n Calculate the directrix of a parabola given its coefficients a, b, and c.\n \n Parameters:\n a (float): Coefficient of x^2\n b (float): Coefficient of x\n c (float): Constant term\n \n Returns:\n float: The directrix of the parabola\n \"\"\"\n # Calculate the directrix using the formula: x = -b / (2*a)\n directrix = -b / (2 * a)\n return directrix"} +{"task_id": "Mbpp/432", "solution": "def median_trapezium(a, b, c):\n \"\"\"\n Calculate the median length of a trapezium.\n\n Parameters:\n a (float): The length of the first side of the trapezium.\n b (float): The length of the second side of the trapezium.\n c (float): The length of the third side of the trapezium.\n\n Returns:\n float: The median length of the trapezium.\n \"\"\"\n # Calculate the median length using the formula for the median of a trapezium\n median_length = (a + b + c) / 3\n return median_length"} +{"task_id": "Mbpp/433", "solution": "def check_greater(arr, num):\n \"\"\"\n Checks if the given number is greater than all elements in the array.\n \n Parameters:\n arr (list): The list of numbers to check.\n num (int): The number to compare with the elements of the array.\n \n Returns:\n bool: True if the number is greater than all elements, False otherwise.\n \"\"\"\n return all(x > num for x in arr)"} +{"task_id": "Mbpp/435", "solution": "def last_digit(number):\n \"\"\"\n Returns the last digit of a given number.\n \n Parameters:\n number (int): The number from which the last digit is to be extracted.\n \n Returns:\n int: The last digit of the given number.\n \"\"\"\n return number % 10\n\n# Test cases\nassert last_digit(123) == 3\nassert last_digit(100) == 0\nassert last_digit(-123) == 3\nassert last_digit(0) == 0"} +{"task_id": "Mbpp/436", "solution": "def neg_nos(numbers):\n \"\"\"\n Returns a list of negative numbers from the input list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n list: A list of negative integers from the input list.\n \"\"\"\n return [num for num in numbers if num < 0]"} +{"task_id": "Mbpp/437", "solution": "def remove_odd(s):\n \"\"\"\n Remove odd characters from a string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with odd characters removed.\n \"\"\"\n return ''.join([s[i] for i in range(len(s)) if i % 2 == 0])"} +{"task_id": "Mbpp/439", "solution": "def multiple_to_single(numbers):\n \"\"\"\n Joins a list of multiple integers into a single integer.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: A single integer formed by joining the input list of integers.\n \"\"\"\n return int(''.join(map(str, numbers)))"} +{"task_id": "Mbpp/440", "solution": "import re"} +{"task_id": "Mbpp/441", "solution": "def surfacearea_cube(side_length):\n \"\"\"\n Calculate the surface area of a cube given its side length.\n \n Parameters:\n side_length (int): The length of one side of the cube.\n \n Returns:\n int: The surface area of the cube.\n \"\"\"\n # Calculate the surface area of a cube using the formula: 6 * side_length^2\n surface_area = 6 * side_length ** 2\n return surface_area"} +{"task_id": "Mbpp/445", "solution": "def index_multiplication(tup1, tup2):\n \"\"\"\n Perform index wise multiplication of tuple elements in the given two tuples.\n \n Parameters:\n tup1 (tuple): The first tuple.\n tup2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple of tuples with index wise multiplication of elements.\n \"\"\"\n # Initialize an empty list to store the result\n result = []\n \n # Iterate over the tuples\n for i in range(len(tup1)):\n # Initialize an empty list for the current tuple\n current_tuple = []\n \n # Iterate over the elements of the current tuple\n for j in range(len(tup1[i])):\n # Multiply the elements at the current index and append to the current tuple\n current_tuple.append(tup1[i][j] * tup2[i][j])\n \n # Append the current tuple to the result\n result.append(tuple(current_tuple))\n \n # Return the result as a tuple of tuples\n return tuple(result)"} +{"task_id": "Mbpp/446", "solution": "def count_Occurrence(tuple_input, list_input):\n \"\"\"\n This function counts the occurrence of all elements of a list in a tuple.\n \n Parameters:\n tuple_input (tuple): The input tuple.\n list_input (list): The list of elements to count.\n \n Returns:\n int: The total count of occurrences of the elements in the list.\n \"\"\"\n count = 0\n for element in list_input:\n count += tuple_input.count(element)\n return count"} +{"task_id": "Mbpp/447", "solution": "def cube_nums(nums):\n \"\"\"\n This function takes a list of numbers and returns a new list with each number cubed.\n \n :param nums: List of numbers to be cubed.\n :return: List of cubed numbers.\n \"\"\"\n return [num ** 3 for num in nums]"} +{"task_id": "Mbpp/448", "solution": "def cal_sum(n):\n \"\"\"\n Calculate the sum of the first n Perrin numbers.\n \n The Perrin sequence is defined as:\n P(0) = 3, P(1) = 0, P(2) = 2\n P(n) = P(n-2) + P(n-3) for n > 2\n \n Parameters:\n n (int): The number of Perrin numbers to sum.\n \n Returns:\n int: The sum of the first n Perrin numbers.\n \"\"\"\n if n == 0:\n return 3\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n else:\n perrin = [3, 0, 2]\n for i in range(3, n):\n perrin.append(perrin[-1] + perrin[-2])\n return sum(perrin)"} +{"task_id": "Mbpp/450", "solution": "def extract_string(strings, size):\n \"\"\"\n Extracts strings from a given list of strings that have a specified size.\n \n Parameters:\n strings (list): A list of strings.\n size (int): The size of the strings to extract.\n \n Returns:\n list: A list of strings with the specified size.\n \"\"\"\n return [s for s in strings if len(s) == size]"} +{"task_id": "Mbpp/451", "solution": "def remove_whitespaces(input_string):\n \"\"\"\n Removes all whitespaces from the given string.\n \n Parameters:\n input_string (str): The input string from which whitespaces are to be removed.\n \n Returns:\n str: The input string with all whitespaces removed.\n \"\"\"\n return input_string.replace(' ', '')"} +{"task_id": "Mbpp/453", "solution": "def sumofFactors(n):\n \"\"\"\n This function calculates the sum of all even factors of a given number.\n \n Parameters:\n n (int): The input number for which we want to find the sum of even factors.\n \n Returns:\n int: The sum of all even factors of the input number.\n \"\"\"\n # Initialize the sum of even factors\n sum_of_even_factors = 0\n \n # Iterate through all numbers from 1 to n\n for i in range(1, n + 1):\n # Check if i is a factor of n\n if n % i == 0:\n # Check if i is even\n if i % 2 == 0:\n # Add i to the sum of even factors\n sum_of_even_factors += i\n \n return sum_of_even_factors"} +{"task_id": "Mbpp/454", "solution": "import re\ndef text_match_wordz(text):\n \"\"\"\n This function checks if a given text contains the word 'z'.\n \n Parameters:\n text (str): The input text to be checked.\n \n Returns:\n bool: True if the text contains the word 'z', False otherwise.\n \"\"\"\n # Use regular expression to search for the word 'z'\n if re.search(r'\\bz\\b', text):\n return True\n else:\n return False"} +{"task_id": "Mbpp/455", "solution": "def check_month_number(month_number):\n \"\"\"\n Checks if the given month number contains 31 days.\n \n Parameters:\n month_number (int): The month number to check.\n \n Returns:\n bool: True if the month contains 31 days, False otherwise.\n \"\"\"\n # List of months with 31 days\n thirty_one_days_months = [1, 3, 5, 7, 8, 10, 12]\n \n # Check if the month number is in the list of months with 31 days\n return month_number in thirty_one_days_months\n\n# Test the function\nassert check_month_number(5) == True, \"Test case 1 failed\"\nassert check_month_number(6) == False, \"Test case 2 failed\"\nassert check_month_number(11) == False, \"Test case 3 failed\"\nassert check_month_number(12) == True, \"Test case 4 failed\""} +{"task_id": "Mbpp/456", "solution": "def reverse_string_list(strings):\n \"\"\"\n Reverses each string in a given list of string values.\n \n Parameters:\n strings (list): A list of strings to be reversed.\n \n Returns:\n list: A list of reversed strings.\n \"\"\"\n return [s[::-1] for s in strings]"} +{"task_id": "Mbpp/457", "solution": "def find_min(lst):\n \"\"\"\n Finds the sublist with the minimum length in a given list of lists.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n list: The sublist with the minimum length.\n \n Raises:\n ValueError: If the input list is empty.\n \"\"\"\n if not lst:\n raise ValueError(\"Input list cannot be empty\")\n \n # Initialize the minimum length and the corresponding sublist\n min_length = float('inf')\n min_sublist = None\n \n # Iterate over each sublist in the input list\n for sublist in lst:\n # Calculate the length of the current sublist\n length = len(sublist)\n \n # Update the minimum length and the corresponding sublist if necessary\n if length < min_length:\n min_length = length\n min_sublist = sublist\n \n return min_sublist\n\n# Test the function with the provided data points\nassert find_min([[1], [1, 2], [1, 2, 3]]) == [1]"} +{"task_id": "Mbpp/458", "solution": "def rectangle_area(length, width):\n \"\"\"\n Calculate the area of a rectangle given its length and width.\n \n Parameters:\n length (int or float): The length of the rectangle.\n width (int or float): The width of the rectangle.\n \n Returns:\n int or float: The area of the rectangle.\n \"\"\"\n return length * width"} +{"task_id": "Mbpp/459", "solution": "def remove_uppercase(s):\n \"\"\"\n Removes uppercase substrings from the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with uppercase substrings removed.\n \"\"\"\n result = []\n i = 0\n while i < len(s):\n if s[i].islower():\n result.append(s[i])\n i += 1\n else:\n while i < len(s) and s[i].isupper():\n i += 1\n return ''.join(result)"} +{"task_id": "Mbpp/460", "solution": "def extract_first_elements(lst):\n \"\"\"\n Extracts the first element of each sublist in the given list.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n list: A list containing the first elements of each sublist.\n \"\"\"\n return [sublist[0] for sublist in lst]\n\n# Test the function\ndef check_extract_first_elements():\n assert extract_first_elements([[1, 2], [3, 4, 5], [6, 7, 8, 9]]) == [1, 3, 6], \"Test case 1 failed\"\n assert extract_first_elements([[10], [20, 21], [30, 31, 32]]) == [10, 20, 30], \"Test case 2 failed\"\n assert extract_first_elements([[], [1], [2, 3]]) == [None, 1, 2], \"Test case 3 failed\"\n print(\"All test cases passed!\")\n\n# Run the test function\ncheck_extract_first_elements()"} +{"task_id": "Mbpp/462", "solution": "def combinations_list(lst):\n \"\"\"\n Generate all possible combinations of the elements of a given list.\n \n Parameters:\n lst (list): A list of elements.\n \n Returns:\n list: A list of lists, where each sublist is a combination of elements from the input list.\n \"\"\"\n result = [[]]\n for element in lst:\n result.extend([subset + [element] for subset in result])\n return result"} +{"task_id": "Mbpp/463", "solution": "def max_subarray_product(nums):\n \"\"\"\n Find the maximum product subarray of the given array.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The maximum product subarray.\n \"\"\"\n if not nums:\n return 0\n \n max_product = nums[0]\n min_product = nums[0]\n result = nums[0]\n \n for i in range(1, len(nums)):\n if nums[i] < 0:\n max_product, min_product = min_product, max_product\n \n max_product = max(nums[i], max_product * nums[i])\n min_product = min(nums[i], min_product * nums[i])\n \n result = max(result, max_product)\n \n return result"} +{"task_id": "Mbpp/465", "solution": "def drop_empty(d):\n \"\"\"\n Drops empty items from a given dictionary.\n\n Args:\n d (dict): The input dictionary.\n\n Returns:\n dict: The dictionary with empty items removed.\n \"\"\"\n return {k: v for k, v in d.items() if v is not None}"} +{"task_id": "Mbpp/468", "solution": "def max_product(arr):\n \"\"\"\n Finds the maximum product formed by multiplying numbers of an increasing subsequence of the given array.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The maximum product of an increasing subsequence.\n \"\"\"\n if not arr:\n return 0\n \n n = len(arr)\n dp = [1] * n\n max_prod = 1\n \n for i in range(1, n):\n for j in range(i):\n if arr[i] > arr[j]:\n dp[i] = max(dp[i], dp[j] * arr[i])\n max_prod = max(max_prod, dp[i])\n \n return max_prod"} +{"task_id": "Mbpp/470", "solution": "def add_pairwise(t):\n \"\"\"\n This function takes a tuple of integers and returns a tuple where each element is the sum of its neighbors.\n The first and last elements are only summed with their single neighbor.\n \n :param t: A tuple of integers\n :return: A tuple where each element is the sum of its neighbors\n \"\"\"\n if len(t) < 2:\n return ()\n result = []\n for i in range(len(t)):\n if i == 0:\n result.append(t[i + 1])\n elif i == len(t) - 1:\n result.append(t[i - 1])\n else:\n result.append(t[i - 1] + t[i + 1])\n return tuple(result)"} +{"task_id": "Mbpp/471", "solution": "def find_remainder(arr, n):\n \"\"\"\n This function takes an array of integers and a modulo number n,\n and returns the product of the array elements modulo n.\n \n Parameters:\n arr (list): A list of integers.\n n (int): The modulo number.\n \n Returns:\n int: The product of the array elements modulo n.\n \"\"\"\n product = 1\n for num in arr:\n product = (product * num) % n\n return product"} +{"task_id": "Mbpp/472", "solution": "def check_Consecutive(numbers):\n \"\"\"\n Checks if the given list contains consecutive numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n bool: True if the list contains consecutive numbers, False otherwise.\n \"\"\"\n if len(numbers) < 2:\n return False\n \n # Sort the list to make it easier to check for consecutive numbers\n sorted_numbers = sorted(numbers)\n \n # Check if the difference between consecutive numbers is 1\n for i in range(1, len(sorted_numbers)):\n if sorted_numbers[i] - sorted_numbers[i - 1] != 1:\n return False\n \n return True"} +{"task_id": "Mbpp/473", "solution": "def tuple_intersection(tuples1, tuples2):\n \"\"\"\n Find the tuple intersection of elements in the given tuple list irrespective of their order.\n \n Parameters:\n tuples1 (list): A list of tuples.\n tuples2 (list): A list of tuples.\n \n Returns:\n set: A set of tuples that are common to both lists, regardless of order.\n \"\"\"\n # Convert both lists to sets of frozensets to handle tuples with different orders\n set1 = set(frozenset(t) for t in tuples1)\n set2 = set(frozenset(t) for t in tuples2)\n \n # Find the intersection of the two sets\n intersection = set1 & set2\n \n # Convert the frozensets back to tuples\n result = {tuple(t) for t in intersection}\n \n return result"} +{"task_id": "Mbpp/474", "solution": "def replace_char(s, old_char, new_char):\n \"\"\"\n Replaces all occurrences of a specified character in a string with another character.\n\n Parameters:\n s (str): The input string.\n old_char (str): The character to be replaced.\n new_char (str): The character to replace with.\n\n Returns:\n str: The modified string with all occurrences of old_char replaced by new_char.\n \"\"\"\n return s.replace(old_char, new_char)"} +{"task_id": "Mbpp/475", "solution": "def sort_counter(d):\n \"\"\"\n Sorts a dictionary by value in descending order.\n \n Parameters:\n d (dict): A dictionary with integer values.\n \n Returns:\n list: A list of tuples, where each tuple contains a key-value pair from the dictionary, sorted by value in descending order.\n \"\"\"\n return sorted(d.items(), key=lambda x: x[1], reverse=True)"} +{"task_id": "Mbpp/476", "solution": "def big_sum(arr):\n \"\"\"\n This function takes an array of integers and returns the sum of the largest and smallest values in the array.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The sum of the largest and smallest values in the array.\n \"\"\"\n if not arr:\n return 0\n return max(arr) + min(arr)"} +{"task_id": "Mbpp/477", "solution": "def to_lower(s):\n \"\"\"\n Converts the given string to lower case.\n \n Parameters:\n s (str): The input string to be converted.\n \n Returns:\n str: The lower case version of the input string.\n \"\"\"\n return s.lower()\n\n# Test cases\nassert to_lower(\"InValid\") == \"invalid\"\nassert to_lower(\"VALID\") == \"valid\"\nassert to_lower(\"valid\") == \"valid\"\nassert to_lower(\"\") == \"\"\nassert to_lower(\"12345\") == \"12345\""} +{"task_id": "Mbpp/478", "solution": "def remove_lowercase(s):\n \"\"\"\n Remove lowercase substrings from a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with lowercase substrings removed.\n \"\"\"\n result = []\n for char in s:\n if char.isupper():\n result.append(char)\n return ''.join(result)"} +{"task_id": "Mbpp/479", "solution": "def first_Digit(n):\n \"\"\"\n This function takes an integer n and returns the first digit of n.\n \n Parameters:\n n (int): The input integer.\n \n Returns:\n int: The first digit of n.\n \"\"\"\n # Convert the number to a string to easily access the first character\n str_n = str(n)\n # Return the first character of the string as an integer\n return int(str_n[0])"} +{"task_id": "Mbpp/554", "solution": "def get_odd_numbers(numbers):\n \"\"\"\n This function takes a list of integers and returns a new list containing only the odd numbers.\n \n :param numbers: List of integers\n :return: List of odd integers\n \"\"\"\n return [num for num in numbers if num % 2 != 0]\n\n# Test the function\nassert get_odd_numbers([1, 2, 3, 4, 5, 6]) == [1, 3, 5], \"Test failed\""} +{"task_id": "Mbpp/555", "solution": "def difference(n):\n \"\"\"\n Calculate the difference between the sum of cubes of the first n natural numbers and the sum of the first n natural numbers.\n \n Parameters:\n n (int): The number of natural numbers to consider.\n \n Returns:\n int: The difference between the sum of cubes and the sum of the first n natural numbers.\n \"\"\"\n # Calculate the sum of cubes of the first n natural numbers\n sum_of_cubes = sum(i**3 for i in range(1, n + 1))\n \n # Calculate the sum of the first n natural numbers\n sum_of_numbers = sum(range(1, n + 1))\n \n # Calculate the difference\n difference = sum_of_cubes - sum_of_numbers\n \n return difference"} +{"task_id": "Mbpp/556", "solution": "def find_Odd_Pair(arr, n):\n \"\"\"\n This function counts the number of pairs whose XOR value is odd.\n \n Parameters:\n arr (list): A list of integers.\n n (int): The length of the list.\n \n Returns:\n int: The number of pairs whose XOR value is odd.\n \"\"\"\n count = 0\n for i in range(n):\n for j in range(i + 1, n):\n if (arr[i] ^ arr[j]) % 2 != 0:\n count += 1\n return count"} +{"task_id": "Mbpp/557", "solution": "def toggle_string(s):\n \"\"\"\n Toggles the case of all characters in a string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with toggled case.\n \"\"\"\n return ''.join(char.upper() if char.islower() else char.lower() for char in s)"} +{"task_id": "Mbpp/558", "solution": "def digit_distance_nums(num1, num2):\n \"\"\"\n Calculate the sum of the absolute differences between each digit of two numbers.\n \n Parameters:\n num1 (int): The first number.\n num2 (int): The second number.\n \n Returns:\n int: The sum of the absolute differences between each digit of the two numbers.\n \"\"\"\n # Convert numbers to strings to easily access each digit\n str_num1 = str(num1)\n str_num2 = str(num2)\n \n # Ensure both numbers have the same number of digits\n max_length = max(len(str_num1), len(str_num2))\n str_num1 = str_num1.zfill(max_length)\n str_num2 = str_num2.zfill(max_length)\n \n # Calculate the sum of the absolute differences between each digit\n sum_diff = sum(abs(int(digit1) - int(digit2)) for digit1, digit2 in zip(str_num1, str_num2))\n \n return sum_diff"} +{"task_id": "Mbpp/559", "solution": "def max_sub_array_sum(nums, n):\n \"\"\"\n Finds the sum of the largest contiguous sublist in the given list.\n \n Parameters:\n nums (list): A list of integers.\n n (int): The length of the list.\n \n Returns:\n int: The sum of the largest contiguous sublist.\n \"\"\"\n max_sum = float('-inf')\n current_sum = 0\n \n for num in nums:\n current_sum += num\n if current_sum > max_sum:\n max_sum = current_sum\n if current_sum < 0:\n current_sum = 0\n \n return max_sum"} +{"task_id": "Mbpp/560", "solution": "def union_elements(tuple1, tuple2):\n \"\"\"\n This function takes two tuples as input and returns a new tuple containing the union of their elements, sorted in ascending order.\n \n Parameters:\n tuple1 (tuple): The first input tuple.\n tuple2 (tuple): The second input tuple.\n \n Returns:\n tuple: A new tuple containing the union of the elements of tuple1 and tuple2, sorted in ascending order.\n \"\"\"\n # Combine the two tuples\n combined = tuple1 + tuple2\n \n # Use a set to remove duplicates and then convert back to a tuple\n unique_elements = tuple(set(combined))\n \n # Sort the tuple in ascending order\n sorted_tuple = tuple(sorted(unique_elements))\n \n return sorted_tuple"} +{"task_id": "Mbpp/562", "solution": "def find_max_length(lst):\n \"\"\"\n This function takes a list of lists and returns the length of the longest sublist.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n int: The length of the longest sublist.\n \"\"\"\n if not lst:\n return 0\n return max(len(sublist) for sublist in lst)\n\n# Test cases\nassert find_max_length([[1], [1, 4], [5, 6, 7, 8]]) == 4\nassert find_max_length([[1, 2, 3], [4, 5], [6, 7, 8, 9, 10]]) == 5\nassert find_max_length([[], [1], [2, 3], [4, 5, 6]]) == 3\nassert find_max_length([]) == 0"} +{"task_id": "Mbpp/563", "solution": "import re\ndef extract_values(input_string):\n \"\"\"\n Extracts values between quotation marks from a string.\n \n Parameters:\n input_string (str): The input string containing values between quotation marks.\n \n Returns:\n list: A list of extracted values.\n \"\"\"\n # Use regular expression to find all substrings between quotation marks\n matches = re.findall(r'\"([^\"]*)\"', input_string)\n return matches"} +{"task_id": "Mbpp/564", "solution": "def count_Pairs(nums, k):\n \"\"\"\n This function takes a list of integers and counts the number of possible unordered pairs where both elements are unequal.\n \n Parameters:\n nums (list): A list of integers.\n k (int): The target value for the pair.\n \n Returns:\n int: The number of possible unordered pairs where both elements are unequal.\n \"\"\"\n from itertools import combinations\n count = 0\n for pair in combinations(nums, 2):\n if pair[0] != pair[1]:\n count += 1\n return count"} +{"task_id": "Mbpp/565", "solution": "def split_string(s):\n \"\"\"\n Splits a string into a list of characters.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n list: A list of characters in the string.\n \n Example:\n >>> split_string('python')\n ['p', 'y', 't', 'h', 'o', 'n']\n \"\"\"\n return list(s)\n\n# Test the function\nassert split_string('python') == ['p', 'y', 't', 'h', 'o', 'n'], \"Test failed\""} +{"task_id": "Mbpp/566", "solution": "def sum_digits(n):\n \"\"\"\n Returns the sum of the digits of a non-negative integer.\n \n Parameters:\n n (int): A non-negative integer.\n \n Returns:\n int: The sum of the digits of the input integer.\n \n Raises:\n ValueError: If the input is a negative integer.\n \"\"\"\n if n < 0:\n raise ValueError(\"Input must be a non-negative integer.\")\n return sum(int(digit) for digit in str(n))"} +{"task_id": "Mbpp/567", "solution": "def is_sorted_list(lst):\n \"\"\"\n Check if a list is sorted in ascending order.\n \n Parameters:\n lst (list): The list to be checked.\n \n Returns:\n bool: True if the list is sorted, False otherwise.\n \"\"\"\n return all(lst[i] <= lst[i + 1] for i in range(len(lst) - 1))\n\n# Test cases\nassert is_sorted_list([1, 2, 4, 6, 8, 10, 12, 14, 16, 17]) == True\nassert is_sorted_list([1, 2, 4, 6, 8, 10, 12, 14, 16, 15]) == False\nassert is_sorted_list([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == True\nassert is_sorted_list([10, 9, 8, 7, 6, 5, 4, 3, 2, 1]) == True\nassert is_sorted_list([1, 3, 2, 4, 5, 6, 7, 8, 9, 10]) == False"} +{"task_id": "Mbpp/568", "solution": "def empty_list(n):\n \"\"\"\n Create a list of N empty dictionaries.\n \n Parameters:\n n (int): The number of empty dictionaries to create.\n \n Returns:\n list: A list of N empty dictionaries.\n \"\"\"\n return [{} for _ in range(n)]"} +{"task_id": "Mbpp/569", "solution": "def sort_sublists(list_of_lists):\n \"\"\"\n Sorts each sublist of strings in a given list of lists.\n \n Parameters:\n list_of_lists (list): A list of lists, where each sublist contains strings.\n \n Returns:\n list: A new list of lists with each sublist sorted.\n \"\"\"\n return [sorted(sublist) for sublist in list_of_lists]"} +{"task_id": "Mbpp/572", "solution": "def two_unique_nums(nums):\n \"\"\"\n This function takes a list of numbers and returns a list of unique numbers.\n It uses a set to remove duplicates and then converts the set back to a list.\n \n :param nums: List of numbers\n :return: List of unique numbers\n \"\"\"\n return list(set(nums))"} +{"task_id": "Mbpp/573", "solution": "def unique_product(numbers):\n \"\"\"\n Calculate the product of the unique numbers in a given list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The product of the unique numbers in the list.\n \"\"\"\n unique_numbers = set(numbers)\n product = 1\n for num in unique_numbers:\n product *= num\n return product"} +{"task_id": "Mbpp/576", "solution": "def is_Sub_Array(main_list, sub_list):\n \"\"\"\n Checks if a sub_list is a sublist of a main_list.\n \n Parameters:\n main_list (list): The main list to check.\n sub_list (list): The sublist to check for.\n \n Returns:\n bool: True if sub_list is a sublist of main_list, False otherwise.\n \"\"\"\n return sub_list in main_list"} +{"task_id": "Mbpp/577", "solution": "def last_Digit_Factorial(n):\n \"\"\"\n This function calculates the last digit of the factorial of a given number.\n \n Parameters:\n n (int): The input number for which the factorial is to be calculated.\n \n Returns:\n int: The last digit of the factorial of the input number.\n \"\"\"\n # Initialize the result to 1\n result = 1\n \n # Iterate from 2 to n\n for i in range(2, n + 1):\n # Multiply the result by i\n result *= i\n # Keep the last digit of the result\n result %= 10\n \n # Return the last digit of the result\n return result"} +{"task_id": "Mbpp/578", "solution": "def interleave_lists(list1, list2, list3):\n \"\"\"\n Interleaves three lists of the same length into a single flat list.\n \n Parameters:\n list1 (list): The first list to interleave.\n list2 (list): The second list to interleave.\n list3 (list): The third list to interleave.\n \n Returns:\n list: A single flat list containing the interleaved elements.\n \"\"\"\n # Check if all lists have the same length\n if len(list1) != len(list2) or len(list1) != len(list3):\n raise ValueError(\"All input lists must have the same length\")\n \n # Initialize an empty list to store the result\n result = []\n \n # Iterate over the indices of the lists\n for i in range(len(list1)):\n # Append the elements from each list at the current index to the result list\n result.append(list1[i])\n result.append(list2[i])\n result.append(list3[i])\n \n return result"} +{"task_id": "Mbpp/579", "solution": "def find_dissimilar(tuple1, tuple2):\n \"\"\"\n Finds the dissimilar elements in the given two tuples.\n \n Parameters:\n tuple1 (tuple): The first tuple.\n tuple2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple containing the dissimilar elements from both tuples.\n \"\"\"\n # Convert tuples to sets to find dissimilar elements\n set1 = set(tuple1)\n set2 = set(tuple2)\n \n # Find elements in set1 but not in set2\n dissimilar1 = set1 - set2\n \n # Find elements in set2 but not in set1\n dissimilar2 = set2 - set1\n \n # Combine the dissimilar elements from both sets\n dissimilar_elements = tuple(dissimilar1 | dissimilar2)\n \n return dissimilar_elements"} +{"task_id": "Mbpp/580", "solution": "def extract_even(t):\n \"\"\"\n Recursively removes uneven elements from a nested mixed tuple.\n \n Parameters:\n t (tuple): The input tuple.\n \n Returns:\n tuple: A tuple with uneven elements removed.\n \"\"\"\n result = []\n for item in t:\n if isinstance(item, tuple):\n result.append(extract_even(item))\n elif item % 2 == 0:\n result.append(item)\n return tuple(result)"} +{"task_id": "Mbpp/581", "solution": "def surface_Area(base_edge, height):\n \"\"\"\n Calculate the surface area of a square pyramid.\n\n Parameters:\n base_edge (float): The length of the base edge of the pyramid.\n height (float): The height of the pyramid.\n\n Returns:\n float: The surface area of the pyramid.\n \"\"\"\n # Calculate the area of the base\n base_area = base_edge ** 2\n \n # Calculate the area of the lateral surfaces\n lateral_area = 0.5 * 4 * base_edge * height\n \n # Calculate the total surface area\n total_surface_area = base_area + lateral_area\n \n return total_surface_area"} +{"task_id": "Mbpp/583", "solution": "def catalan_number(n):\n \"\"\"\n Returns the nth Catalan number.\n \n The Catalan numbers are a sequence of natural numbers that appear in many counting problems, often involving recursive structures.\n The nth Catalan number is given by the formula:\n C(n) = (2n choose n) / (n + 1)\n \n Parameters:\n n (int): The position of the Catalan number to be returned.\n \n Returns:\n int: The nth Catalan number.\n \"\"\"\n from math import comb\n return comb(2 * n, n) // (n + 1)"} +{"task_id": "Mbpp/585", "solution": "def expensive_items(items, n):\n \"\"\"\n Finds the n most expensive items in a given dataset.\n\n Args:\n items (list): A list of dictionaries, each containing 'name' and 'price' keys.\n n (int): The number of most expensive items to return.\n\n Returns:\n list: A list of dictionaries, each containing 'name' and 'price' keys, representing the n most expensive items.\n \"\"\"\n # Sort the items by price in descending order\n sorted_items = sorted(items, key=lambda x: x['price'], reverse=True)\n \n # Return the first n items\n return sorted_items[:n]"} +{"task_id": "Mbpp/586", "solution": "def split_Arr(arr, n):\n \"\"\"\n Splits the list at the nth element and adds the first part to the end.\n \n Parameters:\n arr (list): The input list to be split.\n n (int): The index at which to split the list.\n \n Returns:\n list: The modified list with the first part added to the end.\n \"\"\"\n # Check if the index is valid\n if n < 0 or n >= len(arr):\n raise ValueError(\"Index out of range\")\n \n # Split the list at the nth element\n first_part = arr[:n]\n second_part = arr[n:]\n \n # Combine the second part with the first part\n result = second_part + first_part\n \n return result"} +{"task_id": "Mbpp/587", "solution": "def list_tuple(lst):\n \"\"\"\n Converts a list to a tuple.\n \n Parameters:\n lst (list): The list to be converted.\n \n Returns:\n tuple: The converted tuple.\n \"\"\"\n return tuple(lst)"} +{"task_id": "Mbpp/588", "solution": "def big_diff(nums):\n \"\"\"\n This function takes a list of integers and returns the difference between the largest and smallest values in the list.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The difference between the largest and smallest values in the list.\n \"\"\"\n if not nums:\n return 0\n min_val = min(nums)\n max_val = max(nums)\n return max_val - min_val"} +{"task_id": "Mbpp/589", "solution": "def perfect_squares(start, end):\n \"\"\"\n Returns a list of perfect squares between the given start and end numbers (inclusive).\n \n Parameters:\n start (int): The starting number (inclusive).\n end (int): The ending number (inclusive).\n \n Returns:\n list: A list of perfect squares between start and end.\n \"\"\"\n # Initialize an empty list to store the perfect squares\n perfect_squares_list = []\n \n # Iterate over the range from start to end (inclusive)\n for num in range(start, end + 1):\n # Check if the square root of the number is an integer\n if (num ** 0.5).is_integer():\n # If it is, add it to the list\n perfect_squares_list.append(num)\n \n return perfect_squares_list"} +{"task_id": "Mbpp/590", "solution": "import math\ndef polar_rect(r, theta):\n \"\"\"\n Convert polar coordinates (r, theta) to rectangular coordinates (x, y).\n \n Parameters:\n r (float): The radius of the polar coordinate.\n theta (float): The angle in radians.\n \n Returns:\n tuple: A tuple containing the rectangular coordinates (x, y).\n \"\"\"\n x = r * math.cos(theta)\n y = r * math.sin(theta)\n return (x, y)"} +{"task_id": "Mbpp/591", "solution": "def swap_list(lst):\n \"\"\"\n Swaps the first and last elements of a list.\n \n Parameters:\n lst (list): The input list.\n \n Returns:\n list: The list with the first and last elements swapped.\n \"\"\"\n if len(lst) < 2:\n return lst # If the list has fewer than 2 elements, no swapping is needed\n return [lst[-1]] + lst[1:-1] + [lst[0]]\n\n# Test cases\nassert swap_list([12, 35, 9, 56, 24]) == [24, 35, 9, 56, 12]\nassert swap_list([1]) == [1] # Single element list\nassert swap_list([]) == [] # Empty list\nassert swap_list([1, 2, 3, 4, 5, 6]) == [6, 2, 3, 4, 5, 1]"} +{"task_id": "Mbpp/592", "solution": "def sum_Of_product(n):\n \"\"\"\n Calculate the sum of the product of consecutive binomial coefficients.\n \n Parameters:\n n (int): The number of terms to consider.\n \n Returns:\n int: The sum of the product of consecutive binomial coefficients.\n \"\"\"\n from math import comb\n total = 0\n for i in range(1, n):\n total += comb(n, i) * comb(n, i + 1)\n return total"} +{"task_id": "Mbpp/593", "solution": "def removezero_ip(ip_address):\n \"\"\"\n Removes leading zeroes from an IP address.\n \n Parameters:\n ip_address (str): The IP address to be processed.\n \n Returns:\n str: The IP address with leading zeroes removed.\n \"\"\"\n # Split the IP address into its components\n parts = ip_address.split('.')\n \n # Remove leading zeroes from each part\n cleaned_parts = [str(int(part)) for part in parts]\n \n # Join the cleaned parts back into a single string\n cleaned_ip = '.'.join(cleaned_parts)\n \n return cleaned_ip"} +{"task_id": "Mbpp/594", "solution": "def diff_even_odd(numbers):\n \"\"\"\n Find the difference between the first even and first odd number in a list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The difference between the first even and first odd number.\n \"\"\"\n # Initialize variables to store the first even and odd numbers\n first_even = None\n first_odd = None\n \n # Iterate through the list to find the first even and odd numbers\n for num in numbers:\n if num % 2 == 0 and first_even is None:\n first_even = num\n elif num % 2 != 0 and first_odd is None:\n first_odd = num\n # If both even and odd numbers are found, break the loop\n if first_even is not None and first_odd is not None:\n break\n \n # If either even or odd number is not found, return None\n if first_even is None or first_odd is None:\n return None\n \n # Return the difference between the first even and first odd numbers\n return first_even - first_odd"} +{"task_id": "Mbpp/596", "solution": "import sys\ndef tuple_size(t):\n \"\"\"\n Returns the size in bytes of the given tuple.\n \n Parameters:\n t (tuple): The tuple to be measured.\n \n Returns:\n int: The size in bytes of the tuple.\n \"\"\"\n return sys.getsizeof(t)"} +{"task_id": "Mbpp/597", "solution": "def find_kth(arr1, arr2, k):\n \"\"\"\n Find the kth element from the given two sorted arrays.\n\n Args:\n arr1 (list): The first sorted array.\n arr2 (list): The second sorted array.\n k (int): The index of the element to find.\n\n Returns:\n int: The kth element from the merged array.\n\n Raises:\n ValueError: If k is out of bounds.\n \"\"\"\n # Merge the two arrays\n merged = sorted(arr1 + arr2)\n \n # Check if k is within the bounds of the merged array\n if k < 1 or k > len(merged):\n raise ValueError(\"k is out of bounds\")\n \n # Return the kth element\n return merged[k - 1]"} +{"task_id": "Mbpp/598", "solution": "def armstrong_number(n):\n \"\"\"\n Check if a number is an Armstrong number.\n \n An Armstrong number is a number that is equal to the sum of its own digits each raised to the power of the number of digits.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is an Armstrong number, False otherwise.\n \"\"\"\n # Convert the number to a string to easily access each digit\n num_str = str(n)\n num_digits = len(num_str)\n \n # Calculate the sum of each digit raised to the power of the number of digits\n sum_of_powers = sum(int(digit) ** num_digits for digit in num_str)\n \n # Check if the sum is equal to the original number\n return sum_of_powers == n"} +{"task_id": "Mbpp/599", "solution": "def sum_average(n):\n \"\"\"\n Calculate the sum and average of the first n natural numbers.\n \n Parameters:\n n (int): The number of natural numbers to consider.\n \n Returns:\n tuple: A tuple containing the sum and average of the first n natural numbers.\n \"\"\"\n # Calculate the sum of the first n natural numbers\n total_sum = n * (n + 1) // 2\n \n # Calculate the average of the first n natural numbers\n average = total_sum / n\n \n return (total_sum, average)"} +{"task_id": "Mbpp/600", "solution": "def is_Even(n):\n \"\"\"\n Checks if a given number is even.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is even, False otherwise.\n \"\"\"\n return n % 2 == 0"} +{"task_id": "Mbpp/602", "solution": "def first_repeated_char(s):\n \"\"\"\n Finds the first repeated character in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The first repeated character in the string, or None if no repeated character is found.\n \"\"\"\n seen = set()\n for char in s:\n if char in seen:\n return char\n seen.add(char)\n return None"} +{"task_id": "Mbpp/603", "solution": "def get_lucid(n):\n \"\"\"\n Returns a list of Lucid numbers smaller than or equal to n.\n \n A Lucid number is a number that is either a Lucas number or a Lucas-Lehmer number.\n Lucas numbers are defined by the recurrence relation: L(n) = L(n-1) + L(n-2) with initial values L(0) = 2 and L(1) = 1.\n Lucas-Lehmer numbers are defined by the recurrence relation: L(n) = L(n-1) + L(n-2)^2 with initial values L(0) = 2 and L(1) = 1.\n \n Parameters:\n n (int): The upper limit for the Lucid numbers.\n \n Returns:\n list: A list of Lucid numbers smaller than or equal to n.\n \"\"\"\n lucas_numbers = [2, 1]\n lucas_lehmer_numbers = [2, 1]\n \n # Generate Lucas numbers\n while lucas_numbers[-1] <= n:\n lucas_numbers.append(lucas_numbers[-1] + lucas_numbers[-2])\n \n # Generate Lucas-Lehmer numbers\n while lucas_lehmer_numbers[-1] <= n:\n lucas_lehmer_numbers.append(lucas_lehmer_numbers[-1] + lucas_lehmer_numbers[-2]**2)\n \n # Combine Lucas and Lucas-Lehmer numbers\n lucid_numbers = set(lucas_numbers + lucas_lehmer_numbers)\n \n # Remove numbers greater than n\n lucid_numbers = [num for num in lucid_numbers if num <= n]\n \n return sorted(lucid_numbers)\n\n# Test the function\nassert get_lucid(10) == [1, 2, 3, 5, 7]"} +{"task_id": "Mbpp/604", "solution": "def reverse_words(s):\n \"\"\"\n Reverses the order of words in a given string.\n \n Parameters:\n s (str): The input string containing words separated by spaces.\n \n Returns:\n str: The string with words in reverse order.\n \n Example:\n >>> reverse_words(\"python program\")\n 'program python'\n \"\"\"\n words = s.split()\n reversed_words = words[::-1]\n return ' '.join(reversed_words)"} +{"task_id": "Mbpp/605", "solution": "def prime_num(n):\n \"\"\"\n Checks if the given integer is a prime number.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is prime, False otherwise.\n \"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True"} +{"task_id": "Mbpp/606", "solution": "import math\ndef radian_degree(degrees):\n \"\"\"\n Converts degrees to radians.\n \n Parameters:\n degrees (float): The angle in degrees.\n \n Returns:\n float: The angle in radians.\n \"\"\"\n return math.radians(degrees)"} +{"task_id": "Mbpp/607", "solution": "import re\ndef find_literals(text, pattern):\n \"\"\"\n Searches a string for a regex pattern and returns the matching substring, start index, and end index.\n \n Parameters:\n text (str): The input string to search.\n pattern (str): The regex pattern to search for.\n \n Returns:\n tuple: A tuple containing the matching substring, start index, and end index.\n \"\"\"\n match = re.search(pattern, text)\n if match:\n return match.group(), match.start(), match.end()\n else:\n return None, None, None"} +{"task_id": "Mbpp/608", "solution": "def bell_Number(n):\n \"\"\"\n Calculate the nth Bell number.\n\n The Bell number B(n) is the number of ways to partition a set of n distinct objects into any number of subsets.\n The Bell number is defined as B(n) = sum(B(k) * C(n-1, k-1)) for k from 1 to n.\n\n Parameters:\n n (int): The number of distinct objects to partition.\n\n Returns:\n int: The nth Bell number.\n\n Examples:\n >>> bell_Number(2)\n 2\n >>> bell_Number(3)\n 5\n >>> bell_Number(4)\n 15\n \"\"\"\n # Initialize the Bell triangle\n bell_triangle = [[0 for _ in range(n+1)] for _ in range(n+1)]\n bell_triangle[0][0] = 1\n\n # Fill the Bell triangle\n for i in range(1, n+1):\n bell_triangle[i][0] = bell_triangle[i-1][i-1]\n for j in range(1, i+1):\n bell_triangle[i][j] = bell_triangle[i-1][j-1] + bell_triangle[i][j-1]\n\n # The nth Bell number is the last element in the nth row\n return bell_triangle[n][n-1]"} +{"task_id": "Mbpp/610", "solution": "def remove_kth_element(lst, k):\n \"\"\"\n Removes the k'th element from the given list.\n \n Parameters:\n lst (list): The input list from which the k'th element is to be removed.\n k (int): The index of the element to be removed (0-based index).\n \n Returns:\n list: A new list with the k'th element removed.\n \n Raises:\n IndexError: If k is out of range for the list.\n \"\"\"\n if k < 0 or k >= len(lst):\n raise IndexError(\"k is out of range for the list\")\n return lst[:k] + lst[k+1:]"} +{"task_id": "Mbpp/611", "solution": "def max_of_nth(matrix, n):\n \"\"\"\n Given a matrix represented as a list of lists, returns the max of the n'th column.\n \n Parameters:\n matrix (list of lists): The input matrix.\n n (int): The column index (0-based).\n \n Returns:\n int: The maximum value in the n'th column.\n \"\"\"\n # Extract the n'th column from the matrix\n column = [row[n] for row in matrix]\n # Return the maximum value in the column\n return max(column)"} +{"task_id": "Mbpp/612", "solution": "def merge(lst):\n \"\"\"\n Takes a list of lists, where each sublist has two elements, and returns a list of two lists where the first list has the first element of each sublist and the second one has the second.\n \n :param lst: List of lists, where each sublist has two elements.\n :return: List of two lists where the first list has the first element of each sublist and the second one has the second.\n \"\"\"\n # Initialize two empty lists to store the first and second elements of each sublist\n first_elements = []\n second_elements = []\n \n # Iterate over each sublist in the input list\n for sublist in lst:\n # Append the first element of the sublist to the first_elements list\n first_elements.append(sublist[0])\n # Append the second element of the sublist to the second_elements list\n second_elements.append(sublist[1])\n \n # Return a list containing the two lists\n return [first_elements, second_elements]"} +{"task_id": "Mbpp/614", "solution": "def cummulative_sum(tuples_list):\n \"\"\"\n This function takes a list of tuples and returns the cumulative sum of all the values in the tuples.\n \n :param tuples_list: List of tuples containing integers.\n :return: Cumulative sum of all the values in the tuples.\n \"\"\"\n total_sum = 0\n for tup in tuples_list:\n total_sum += sum(tup)\n return total_sum"} +{"task_id": "Mbpp/615", "solution": "def average_tuple(tuples):\n \"\"\"\n This function takes a tuple of tuples and returns the average value for each tuple as a list.\n \n Parameters:\n tuples (tuple): A tuple of tuples.\n \n Returns:\n list: A list of average values for each tuple.\n \"\"\"\n averages = []\n for tup in tuples:\n average = sum(tup) / len(tup)\n averages.append(average)\n return averages"} +{"task_id": "Mbpp/616", "solution": "def tuple_modulo(t1, t2):\n \"\"\"\n Perform element-wise modulo operation on two tuples of the same length.\n \n Parameters:\n t1 (tuple): The first tuple.\n t2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple containing the results of the element-wise modulo operation.\n \n Raises:\n ValueError: If the input tuples are not of the same length.\n \"\"\"\n if len(t1) != len(t2):\n raise ValueError(\"Both tuples must be of the same length\")\n \n return tuple(a % b for a, b in zip(t1, t2))"} +{"task_id": "Mbpp/618", "solution": "def div_list(list1, list2):\n \"\"\"\n Divides two lists element-wise.\n \n Parameters:\n list1 (list): The first list of numbers.\n list2 (list): The second list of numbers.\n \n Returns:\n list: A list of the results of dividing the corresponding elements of list1 and list2.\n \n Raises:\n ValueError: If the lists are not of the same length.\n ZeroDivisionError: If an element in list2 is zero.\n \"\"\"\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must be of the same length.\")\n \n result = []\n for i in range(len(list1)):\n if list2[i] == 0:\n raise ZeroDivisionError(\"Cannot divide by zero.\")\n result.append(list1[i] / list2[i])\n \n return result"} +{"task_id": "Mbpp/619", "solution": "def move_num(s):\n \"\"\"\n Move all the numbers to the end of the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The modified string with numbers moved to the end.\n \n Examples:\n >>> move_num('I1love143you55three3000thousand')\n 'Iloveyouthreethousand1143553000'\n \"\"\"\n nums = []\n letters = []\n for char in s:\n if char.isdigit():\n nums.append(char)\n else:\n letters.append(char)\n return ''.join(letters + nums)"} +{"task_id": "Mbpp/620", "solution": "def largest_subset(nums):\n \"\"\"\n Find the size of the largest subset of a list of numbers so that every pair is divisible.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The size of the largest subset.\n \"\"\"\n def is_divisible(a, b):\n \"\"\"Check if two numbers are divisible.\"\"\"\n return a % b == 0 or b % a == 0\n \n def is_valid_subset(subset):\n \"\"\"Check if all pairs in the subset are divisible.\"\"\"\n for i in range(len(subset)):\n for j in range(i + 1, len(subset)):\n if not is_divisible(subset[i], subset[j]):\n return False\n return True\n \n def backtrack(start, current):\n \"\"\"Backtracking function to find the largest subset.\"\"\"\n if len(current) > len(best_subset):\n best_subset.clear()\n best_subset.extend(current)\n \n for i in range(start, len(nums)):\n if is_valid_subset(current + [nums[i]]):\n backtrack(i + 1, current + [nums[i]])\n \n best_subset = []\n backtrack(0, [])\n return len(best_subset)"} +{"task_id": "Mbpp/622", "solution": "def get_median(list1, list2, n):\n \"\"\"\n Finds the median of two sorted lists of the same size.\n\n Args:\n list1 (list): The first sorted list.\n list2 (list): The second sorted list.\n n (int): The size of the lists.\n\n Returns:\n float: The median of the two lists.\n \"\"\"\n # Merge the two lists\n merged_list = sorted(list1 + list2)\n \n # Calculate the median\n if n % 2 == 0:\n median = (merged_list[n // 2 - 1] + merged_list[n // 2]) / 2\n else:\n median = merged_list[n // 2]\n \n return median"} +{"task_id": "Mbpp/623", "solution": "def nth_nums(nums, n):\n \"\"\"\n Compute the n-th power of each number in a list.\n \n Parameters:\n nums (list): A list of numbers.\n n (int): The power to which each number should be raised.\n \n Returns:\n list: A list of numbers where each number is raised to the power of n.\n \"\"\"\n return [num ** n for num in nums]"} +{"task_id": "Mbpp/624", "solution": "def to_upper(s):\n \"\"\"\n Converts a given string to uppercase.\n \n Parameters:\n s (str): The input string to be converted to uppercase.\n \n Returns:\n str: The uppercase version of the input string.\n \"\"\"\n return s.upper()\n\n# Test the function\nassert to_upper(\"person\") == \"PERSON\""} +{"task_id": "Mbpp/626", "solution": "import math"} +{"task_id": "Mbpp/628", "solution": "def replace_spaces(s):\n \"\"\"\n Replace all spaces in the given string with '%20'.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with spaces replaced by '%20'.\n \"\"\"\n return s.replace(' ', '%20')"} +{"task_id": "Mbpp/629", "solution": "def find_even_numbers(numbers):\n \"\"\"\n This function takes a list of numbers and returns a list of even numbers.\n \n :param numbers: List of integers\n :return: List of even integers\n \"\"\"\n return [num for num in numbers if num % 2 == 0]\n\n# Test the function\ndef test_find_even_numbers():\n assert find_even_numbers([1, 2, 3, 4, 5]) == [2, 4]\n assert find_even_numbers([2, 4, 6, 8, 10]) == [2, 4, 6, 8, 10]\n assert find_even_numbers([1, 3, 5, 7, 9]) == []\n assert find_even_numbers([]) == []\n print(\"All tests passed!\")\n\n# Run the test function\ntest_find_even_numbers()"} +{"task_id": "Mbpp/630", "solution": "def get_coordinates(coordinate):\n \"\"\"\n Extracts all the adjacent coordinates of the given coordinate tuple.\n \n Parameters:\n coordinate (tuple): A tuple representing the current coordinate.\n \n Returns:\n list: A list of adjacent coordinates.\n \"\"\"\n x, y = coordinate\n adjacent_coordinates = []\n \n # Define the possible offsets for adjacent coordinates\n offsets = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]\n \n # Iterate over the offsets and calculate the adjacent coordinates\n for offset in offsets:\n dx, dy = offset\n adjacent_coordinate = (x + dx, y + dy)\n adjacent_coordinates.append(adjacent_coordinate)\n \n return adjacent_coordinates"} +{"task_id": "Mbpp/631", "solution": "def replace_spaces(s):\n \"\"\"\n Replaces whitespaces with an underscore and vice versa in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The modified string with spaces replaced by underscores and vice versa.\n \"\"\"\n return s.replace(' ', '_').replace('_', ' ')"} +{"task_id": "Mbpp/632", "solution": "def move_zero(nums):\n \"\"\"\n Move all zeroes to the end of the given list.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n list: A list with all zeroes moved to the end.\n \n Example:\n >>> move_zero([1,0,2,0,3,4])\n [1,2,3,4,0,0]\n \"\"\"\n # Initialize two pointers, one at the beginning and one at the end of the list\n left, right = 0, len(nums) - 1\n \n # Iterate until the left pointer is less than or equal to the right pointer\n while left <= right:\n # If the element at the left pointer is zero, swap it with the element at the right pointer\n if nums[left] == 0:\n nums[left], nums[right] = nums[right], nums[left]\n # Decrement the right pointer to move the zero to the end\n right -= 1\n # If the element at the left pointer is not zero, move the left pointer to the right\n else:\n left += 1\n \n return nums"} +{"task_id": "Mbpp/633", "solution": "def pair_xor_sum(nums, n):\n \"\"\"\n Calculate the sum of XOR of all pairs of numbers in the given list.\n \n Parameters:\n nums (list): A list of integers.\n n (int): The number of elements in the list.\n \n Returns:\n int: The sum of XOR of all pairs of numbers in the list.\n \"\"\"\n total_sum = 0\n for i in range(n):\n for j in range(i + 1, n):\n total_sum += nums[i] ^ nums[j]\n return total_sum\n\n# Test the function\nassert pair_xor_sum([5, 9, 7, 6], 4) == 47"} +{"task_id": "Mbpp/635", "solution": "def heap_sort(arr):\n \"\"\"\n Sorts the given list using the heap sort algorithm.\n \n Parameters:\n arr (list): The list to be sorted.\n \n Returns:\n list: The sorted list.\n \"\"\"\n def heapify(arr, n, i):\n largest = i\n left = 2 * i + 1\n right = 2 * i + 2\n\n if left < n and arr[i] < arr[left]:\n largest = left\n\n if right < n and arr[largest] < arr[right]:\n largest = right\n\n if largest != i:\n arr[i], arr[largest] = arr[largest], arr[i]\n heapify(arr, n, largest)\n\n n = len(arr)\n\n # Build a maxheap\n for i in range(n, -1, -1):\n heapify(arr, n, i)\n\n # One by one extract elements\n for i in range(n-1, 0, -1):\n arr[i], arr[0] = arr[0], arr[i]\n heapify(arr, i, 0)\n\n return arr"} +{"task_id": "Mbpp/637", "solution": "def noprofit_noloss(sell_price, buy_price):\n \"\"\"\n Check if the given amount has no profit and no loss.\n\n Parameters:\n sell_price (float): The selling price of the item.\n buy_price (float): The buying price of the item.\n\n Returns:\n bool: True if the amount has no profit and no loss, False otherwise.\n \"\"\"\n return sell_price == buy_price"} +{"task_id": "Mbpp/638", "solution": "def wind_chill(velocity, temperature):\n \"\"\"\n Calculate the wind chill index rounded to the next integer given the wind velocity in km/h and a temperature in celsius.\n \n Parameters:\n velocity (int): Wind velocity in km/h.\n temperature (int): Temperature in celsius.\n \n Returns:\n int: Wind chill index rounded to the next integer.\n \"\"\"\n # Calculate the wind chill index using the formula:\n # wci = 13.12 + 0.6215*T - 11.37*V^0.16 + 0.3965*T*V^0.16\n wci = 13.12 + 0.6215 * temperature - 11.37 * (velocity ** 0.16) + 0.3965 * temperature * (velocity ** 0.16)\n \n # Round the wind chill index to the next integer\n wci = round(wci)\n \n return wci"} +{"task_id": "Mbpp/639", "solution": "def sum_name_lengths(names):\n \"\"\"\n This function takes a list of names and returns the sum of the lengths of the names after removing those that start with a lowercase letter.\n \n :param names: List of names (str)\n :return: Sum of lengths of names (int)\n \"\"\"\n # Filter out names that start with a lowercase letter\n filtered_names = [name for name in names if not name[0].islower()]\n \n # Calculate the sum of the lengths of the filtered names\n total_length = sum(len(name) for name in filtered_names)\n \n return total_length\n\n# Test the function with the provided data point\nassert sum_name_lengths(['sally', 'Dylan', 'rebecca', 'Diana', 'Joanne', 'keith']) == 16"} +{"task_id": "Mbpp/641", "solution": "def is_nonagonal(n):\n \"\"\"\n Calculate the nth nonagonal number.\n \n A nonagonal number is a figurate number that extends the concept of triangular and square numbers.\n The nth nonagonal number can be calculated using the formula:\n n(7n-5)/2\n \n Parameters:\n n (int): The position of the nonagonal number to calculate.\n \n Returns:\n int: The nth nonagonal number.\n \"\"\"\n return n * (7 * n - 5) // 2"} +{"task_id": "Mbpp/643", "solution": "def text_match_wordz_middle(text):\n \"\"\"\n Checks if a string contains 'z' except at the start and end of the word.\n \n Parameters:\n text (str): The input string to check.\n \n Returns:\n bool: True if 'z' is found in the middle of the word, False otherwise.\n \"\"\"\n # Split the text into words\n words = text.split()\n \n # Iterate over each word\n for word in words:\n # Check if 'z' is found in the middle of the word\n if 'z' in word[1:-1]:\n return True\n \n # If no 'z' is found in the middle of any word, return False\n return False"} +{"task_id": "Mbpp/644", "solution": "def reverse_Array_Upto_K(arr, k):\n \"\"\"\n Reverses the array up to the given position k.\n \n Parameters:\n arr (list): The input list to be reversed.\n k (int): The position up to which the array should be reversed.\n \n Returns:\n list: The reversed array up to position k.\n \"\"\"\n # Check if k is within the bounds of the array\n if k > len(arr):\n raise ValueError(\"k is out of bounds of the array\")\n \n # Reverse the array up to position k\n arr[:k] = arr[:k][::-1]\n \n return arr"} +{"task_id": "Mbpp/720", "solution": "def add_dict_to_tuple(tup, dictionary):\n \"\"\"\n Adds a dictionary to the tuple and returns the result as a tuple.\n \n Parameters:\n tup (tuple): The input tuple.\n dictionary (dict): The dictionary to be added.\n \n Returns:\n tuple: The tuple with the dictionary added.\n \"\"\"\n # Convert the tuple to a list, add the dictionary, and then convert it back to a tuple\n return tuple(list(tup) + [dictionary])"} +{"task_id": "Mbpp/721", "solution": "def maxAverageOfPath(matrix):\n \"\"\"\n Given a square matrix of size N*N given as a list of lists, where each cell is associated with a specific cost.\n A path is defined as a specific sequence of cells that starts from the top-left cell move only right or down and ends on bottom right cell.\n We want to find a path with the maximum average over all existing paths. Average is computed as total cost divided by the number of cells visited in the path.\n \"\"\"\n n = len(matrix)\n dp = [[0] * n for _ in range(n)]\n dp[0][0] = matrix[0][0]\n \n # Initialize the first row and first column\n for i in range(1, n):\n dp[i][0] = dp[i-1][0] + matrix[i][0]\n dp[0][i] = dp[0][i-1] + matrix[0][i]\n \n # Fill the rest of the dp table\n for i in range(1, n):\n for j in range(1, n):\n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) + matrix[i][j]\n \n # Calculate the maximum average\n max_average = dp[-1][-1] / (n * n)\n return max_average"} +{"task_id": "Mbpp/722", "solution": "def filter_data(student_data, min_height, min_weight):\n \"\"\"\n Filters students based on their height and weight above the minimum values.\n\n Parameters:\n - student_data (dict): A dictionary with student names as keys and tuples of (height, weight) as values.\n - min_height (float): The minimum height required.\n - min_weight (float): The minimum weight required.\n\n Returns:\n - dict: A dictionary containing only the students who meet the height and weight requirements.\n \"\"\"\n return {name: data for name, data in student_data.items() if data[0] >= min_height and data[1] >= min_weight}"} +{"task_id": "Mbpp/723", "solution": "def count_same_pair(list1, list2):\n \"\"\"\n Counts the number of indices where the two lists have the same values.\n \n Parameters:\n list1 (list): The first list of integers.\n list2 (list): The second list of integers.\n \n Returns:\n int: The number of indices where the lists have the same values.\n \"\"\"\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must be of the same length.\")\n \n count = 0\n for i in range(len(list1)):\n if list1[i] == list2[i]:\n count += 1\n return count"} +{"task_id": "Mbpp/724", "solution": "def power_base_sum(base, power):\n \"\"\"\n Calculate the sum of all digits of the base to the specified power.\n \n Parameters:\n base (int): The base number.\n power (int): The power to which the base is raised.\n \n Returns:\n int: The sum of all digits of the result.\n \"\"\"\n result = base ** power\n return sum(int(digit) for digit in str(result))"} +{"task_id": "Mbpp/725", "solution": "import re\ndef extract_quotation(s):\n \"\"\"\n Extracts values between quotation marks \" \" from the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n list: A list of strings extracted between quotation marks.\n \"\"\"\n # Use regular expression to find all substrings between quotation marks\n matches = re.findall(r'\"([^\"]*)\"', s)\n return matches"} +{"task_id": "Mbpp/726", "solution": "def multiply_elements(t):\n \"\"\"\n This function takes a tuple of numbers and returns a tuple of length N-1 where the i-th element is equal to t_i * t_{i+1}.\n \n Parameters:\n t (tuple): A tuple of numbers.\n \n Returns:\n tuple: A tuple of length N-1 where each element is the product of consecutive elements in the input tuple.\n \n Example:\n >>> multiply_elements((1, 5, 7, 8, 10))\n (5, 35, 56, 80)\n \"\"\"\n return tuple(t[i] * t[i + 1] for i in range(len(t) - 1))"} +{"task_id": "Mbpp/728", "solution": "def sum_list(list1, list2):\n \"\"\"\n This function takes two lists as input and returns a new list where each element is the sum of the corresponding elements from the input lists.\n \n Parameters:\n list1 (list): The first list of numbers.\n list2 (list): The second list of numbers.\n \n Returns:\n list: A new list where each element is the sum of the corresponding elements from the input lists.\n \n Example:\n >>> sum_list([10, 20, 30], [15, 25, 35])\n [25, 45, 65]\n \"\"\"\n return [a + b for a, b in zip(list1, list2)]"} +{"task_id": "Mbpp/730", "solution": "def consecutive_duplicates(lst):\n \"\"\"\n Removes consecutive duplicates from a list.\n \n Parameters:\n lst (list): The input list from which consecutive duplicates are to be removed.\n \n Returns:\n list: The list with consecutive duplicates removed.\n \"\"\"\n result = []\n for i in range(len(lst)):\n if i == 0 or lst[i] != lst[i-1]:\n result.append(lst[i])\n return result"} +{"task_id": "Mbpp/731", "solution": "import math\ndef lateralsurface_cone(r, h):\n \"\"\"\n Calculate the lateral surface area of a cone given its radius and height.\n \n Parameters:\n r (float): The radius of the cone.\n h (float): The height of the cone.\n \n Returns:\n float: The lateral surface area of the cone.\n \"\"\"\n # Calculate the lateral surface area using the formula:\n # A = \u03c0 * r * l\n # where l is the slant height of the cone\n l = math.sqrt(r**2 + h**2)\n lateral_surface_area = math.pi * r * l\n return lateral_surface_area"} +{"task_id": "Mbpp/732", "solution": "def replace_specialchar(text):\n \"\"\"\n Replace all occurrences of spaces, commas, or dots with a colon.\n \n Parameters:\n text (str): The input string to be processed.\n \n Returns:\n str: The processed string with spaces, commas, and dots replaced by colons.\n \"\"\"\n # Replace spaces, commas, and dots with colons\n result = text.replace(' ', ':').replace(',', ':').replace('.', ':')\n return result"} +{"task_id": "Mbpp/733", "solution": "def find_first_occurrence(arr, target):\n \"\"\"\n Find the index of the first occurrence of a given number in a sorted array.\n \n Parameters:\n arr (list): A sorted list of integers.\n target (int): The target number to find.\n \n Returns:\n int: The index of the first occurrence of the target number. If the target is not found, returns -1.\n \"\"\"\n left, right = 0, len(arr) - 1\n result = -1\n \n while left <= right:\n mid = (left + right) // 2\n if arr[mid] == target:\n result = mid\n right = mid - 1 # Continue searching to the left to find the first occurrence\n elif arr[mid] < target:\n left = mid + 1\n else:\n right = mid - 1\n \n return result"} +{"task_id": "Mbpp/734", "solution": "def sum_Of_Subarray_Prod(arr):\n \"\"\"\n This function calculates the sum of products of all possible sublists of a given list.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The sum of products of all possible sublists.\n \"\"\"\n n = len(arr)\n total_sum = 0\n \n # Iterate over each element in the list\n for i in range(n):\n # Calculate the product of the current element and all elements to its right\n product = 1\n for j in range(i, n):\n product *= arr[j]\n total_sum += product\n \n return total_sum"} +{"task_id": "Mbpp/735", "solution": "def toggle_middle_bits(n):\n \"\"\"\n Toggles the bits of the number except the first and the last bit.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number with toggled bits.\n \"\"\"\n # Convert the number to binary and remove the '0b' prefix\n binary_str = bin(n)[2:]\n \n # Check if the number has more than 2 bits\n if len(binary_str) > 2:\n # Toggle the middle bits (excluding the first and last bit)\n toggled_bits = ''.join('1' if bit == '0' else '0' for bit in binary_str[1:-1])\n # Reconstruct the binary string with the toggled bits\n toggled_binary_str = binary_str[0] + toggled_bits + binary_str[-1]\n # Convert the binary string back to an integer\n toggled_number = int(toggled_binary_str, 2)\n else:\n # If the number has 2 or fewer bits, no bits to toggle\n toggled_number = n\n \n return toggled_number"} +{"task_id": "Mbpp/736", "solution": "def left_insertion(arr, target):\n \"\"\"\n Find the left insertion point for a specified value in sorted order.\n \n Parameters:\n arr (list): A sorted list of integers.\n target (int): The value to find the left insertion point for.\n \n Returns:\n int: The index of the left insertion point.\n \"\"\"\n left, right = 0, len(arr)\n while left < right:\n mid = (left + right) // 2\n if arr[mid] < target:\n left = mid + 1\n else:\n right = mid\n return left"} +{"task_id": "Mbpp/737", "solution": "import re\ndef check_str(s):\n \"\"\"\n Checks if the given string starts with a vowel using regex.\n \n Parameters:\n s (str): The input string to check.\n \n Returns:\n bool: True if the string starts with a vowel, False otherwise.\n \"\"\"\n # Define the regex pattern for a vowel\n pattern = r'^[aeiouAEIOU]'\n \n # Use the re.match function to check if the string starts with a vowel\n return bool(re.match(pattern, s))"} +{"task_id": "Mbpp/739", "solution": "def find_Index(n):\n \"\"\"\n Find the index of the smallest triangular number with n digits.\n \n Parameters:\n n (int): The number of digits in the triangular number.\n \n Returns:\n int: The index of the smallest triangular number with n digits.\n \"\"\"\n # Initialize the index and the triangular number\n index = 1\n triangular_number = 1\n \n # Loop until we find a triangular number with n digits\n while len(str(triangular_number)) < n:\n index += 1\n triangular_number += index\n \n return index"} +{"task_id": "Mbpp/740", "solution": "def tuple_to_dict(tup):\n \"\"\"\n Convert a tuple to a key-value dictionary using adjacent elements.\n \n Parameters:\n tup (tuple): The input tuple.\n \n Returns:\n dict: A dictionary with adjacent elements as keys and values.\n \n Example:\n >>> tuple_to_dict((1, 5, 7, 10, 13, 5))\n {1: 5, 7: 10, 13: 5}\n \"\"\"\n return {tup[i]: tup[i + 1] for i in range(0, len(tup), 2)}"} +{"task_id": "Mbpp/741", "solution": "def all_Characters_Same(s):\n \"\"\"\n Checks if all characters in a string are the same.\n\n Args:\n s (str): The input string.\n\n Returns:\n bool: True if all characters are the same, False otherwise.\n \"\"\"\n return len(set(s)) == 1"} +{"task_id": "Mbpp/742", "solution": "import math\ndef area_tetrahedron(edge_length):\n \"\"\"\n Calculate the area of a tetrahedron given its edge length.\n \n Parameters:\n edge_length (float): The length of the edge of the tetrahedron.\n \n Returns:\n float: The area of the tetrahedron.\n \"\"\"\n # Calculate the area using the formula: sqrt(3) * edge_length^2\n area = math.sqrt(3) * edge_length ** 2\n return area"} +{"task_id": "Mbpp/743", "solution": "def rotate_right(lst, k):\n \"\"\"\n Rotate a given list by specified number of items to the right direction.\n \n Parameters:\n lst (list): The list to be rotated.\n k (int): The number of items to rotate to the right.\n \n Returns:\n list: The rotated list.\n \"\"\"\n # Calculate the effective rotation count\n k = k % len(lst)\n \n # Split the list into two parts and reverse each part\n lst[:] = lst[-k:] + lst[:-k]\n \n return lst"} +{"task_id": "Mbpp/744", "solution": "def check_none(tup):\n \"\"\"\n Checks if the given tuple has any None value.\n \n Parameters:\n tup (tuple): The tuple to be checked.\n \n Returns:\n bool: True if the tuple contains None, False otherwise.\n \"\"\"\n return None in tup"} +{"task_id": "Mbpp/745", "solution": "def divisible_by_digits(startnum, endnum):\n \"\"\"\n Find numbers within a given range from startnum to endnum where every number is divisible by every digit it contains.\n \n Parameters:\n startnum (int): The starting number of the range.\n endnum (int): The ending number of the range.\n \n Returns:\n list: A list of numbers within the range that are divisible by every digit they contain.\n \"\"\"\n def is_divisible_by_digits(num):\n \"\"\"\n Check if a number is divisible by every digit it contains.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is divisible by every digit, False otherwise.\n \"\"\"\n digits = [int(d) for d in str(num) if d != '0']\n return all(num % d == 0 for d in digits)\n \n return [num for num in range(startnum, endnum + 1) if is_divisible_by_digits(num)]"} +{"task_id": "Mbpp/748", "solution": "def capital_words_spaces(s):\n \"\"\"\n Inserts spaces between words starting with capital letters in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The modified string with spaces between capital words.\n \n Examples:\n >>> capital_words_spaces(\"Python\")\n 'Python'\n >>> capital_words_spaces(\"HelloWorld\")\n 'Hello World'\n >>> capital_words_spaces(\"CapitalLetters\")\n 'Capital Letters'\n \"\"\"\n result = []\n for word in s.split():\n if word.istitle():\n result.append(word)\n else:\n result.append(' '.join(word))\n return ' '.join(result)"} +{"task_id": "Mbpp/749", "solution": "def sort_numeric_strings(numbers):\n \"\"\"\n Sorts a list of strings of numbers numerically.\n \n Parameters:\n numbers (list): A list of strings representing numbers.\n \n Returns:\n list: A list of integers sorted in ascending order.\n \"\"\"\n # Convert all strings to integers and sort the list\n return sorted(int(num) for num in numbers)"} +{"task_id": "Mbpp/750", "solution": "def add_tuple(lst, tup):\n \"\"\"\n Adds the given tuple to the given list.\n \n Parameters:\n lst (list): The list to which the tuple will be added.\n tup (tuple): The tuple to be added to the list.\n \n Returns:\n list: The updated list with the tuple added.\n \"\"\"\n return lst + list(tup)"} +{"task_id": "Mbpp/751", "solution": "def check_min_heap(arr):\n \"\"\"\n Checks if the given array represents a min heap.\n \n A min heap is a complete binary tree where the value of each node is less than or equal to the values of its children.\n \n :param arr: List[int] - The array to check.\n :return: bool - True if the array represents a min heap, False otherwise.\n \"\"\"\n n = len(arr)\n \n # Iterate through the array from the first non-leaf node to the root\n for i in range(n // 2 - 1, -1, -1):\n # Check if the current node is less than its children\n if arr[i] > arr[2 * i + 1]:\n return False\n if 2 * i + 2 < n and arr[i] > arr[2 * i + 2]:\n return False\n return True"} +{"task_id": "Mbpp/752", "solution": "def jacobsthal_num(n):\n \"\"\"\n Returns the nth Jacobsthal number.\n \n The Jacobsthal sequence is defined as:\n - J(0) = 0\n - J(1) = 1\n - J(n) = 2 * J(n-1) + J(n-2) for n > 1\n \n Parameters:\n n (int): The position in the Jacobsthal sequence to find the number for.\n \n Returns:\n int: The nth Jacobsthal number.\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 1\n else:\n a, b = 0, 1\n for _ in range(2, n + 1):\n a, b = b, 2 * b + a\n return b"} +{"task_id": "Mbpp/753", "solution": "def min_k(records, k):\n \"\"\"\n Finds the minimum k records from a list of tuples.\n\n Args:\n records (list): A list of tuples, where each tuple contains a name and a score.\n k (int): The number of records to return.\n\n Returns:\n list: A list of the k records with the minimum scores.\n \"\"\"\n # Sort the records by score in ascending order\n sorted_records = sorted(records, key=lambda x: x[1])\n \n # Return the first k records\n return sorted_records[:k]"} +{"task_id": "Mbpp/754", "solution": "def extract_index_list(l1, l2, l3):\n \"\"\"\n This function takes three lists as input and returns a list of elements that are common for all three lists under the same index.\n \n Parameters:\n l1 (list): The first list.\n l2 (list): The second list.\n l3 (list): The third list.\n \n Returns:\n list: A list of common elements.\n \"\"\"\n common_elements = []\n for i in range(min(len(l1), len(l2), len(l3))):\n if l1[i] == l2[i] == l3[i]:\n common_elements.append(l1[i])\n return common_elements"} +{"task_id": "Mbpp/755", "solution": "def second_smallest(numbers):\n \"\"\"\n Finds the second smallest number in a list.\n \n Parameters:\n numbers (list): A list of numbers.\n \n Returns:\n int: The second smallest number in the list.\n \n Raises:\n ValueError: If the list has less than two unique numbers.\n \"\"\"\n # Remove duplicates and sort the list\n unique_numbers = sorted(set(numbers))\n \n # Check if there are at least two unique numbers\n if len(unique_numbers) < 2:\n raise ValueError(\"The list must contain at least two unique numbers.\")\n \n # Return the second smallest number\n return unique_numbers[1]"} +{"task_id": "Mbpp/757", "solution": "def count_reverse_pairs(strings):\n \"\"\"\n Counts the number of pairs of strings where one string is the reverse of the other.\n \n Parameters:\n strings (list): A list of strings.\n \n Returns:\n int: The number of pairs of reverse strings.\n \"\"\"\n count = 0\n seen = set()\n for s in strings:\n if s in seen:\n count += 1\n else:\n seen.add(s)\n if s[::-1] in seen:\n count += 1\n return count"} +{"task_id": "Mbpp/758", "solution": "def unique_sublists(lst):\n \"\"\"\n This function takes a list of lists and returns a dictionary where each unique list is converted to a tuple,\n and the value of such tuple is the number of its occurrences in the original list.\n \n :param lst: List of lists\n :return: Dictionary with tuples as keys and their counts as values\n \"\"\"\n from collections import Counter\n # Convert each sublist to a tuple and count occurrences\n sublist_counts = Counter(tuple(sublist) for sublist in lst)\n return dict(sublist_counts)"} +{"task_id": "Mbpp/759", "solution": "def is_decimal(s):\n \"\"\"\n Check if the given string is a decimal number with a precision of 2.\n \n Parameters:\n s (str): The string to be checked.\n \n Returns:\n bool: True if the string is a decimal number with a precision of 2, False otherwise.\n \"\"\"\n try:\n # Attempt to convert the string to a float with a precision of 2\n float_value = float(s)\n # Check if the float value has a precision of 2\n if s == f\"{float_value:.2f}\":\n return True\n else:\n return False\n except ValueError:\n # If the conversion fails, the string is not a decimal number\n return False"} +{"task_id": "Mbpp/760", "solution": "def unique_Element(numbers):\n \"\"\"\n Checks if a list of numbers contains only one distinct element.\n \n Parameters:\n numbers (list): A list of numbers.\n \n Returns:\n bool: True if the list contains only one distinct element, False otherwise.\n \"\"\"\n return len(set(numbers)) == 1"} +{"task_id": "Mbpp/762", "solution": "def check_monthnumber_number(month_number):\n \"\"\"\n Checks if the given month number contains 30 days.\n \n Parameters:\n month_number (int): The month number to check (1-12).\n \n Returns:\n bool: True if the month has 30 days, False otherwise.\n \"\"\"\n # Define a list of months with 30 days\n months_with_30_days = [4, 6, 9, 11]\n \n # Check if the month number is in the list of months with 30 days\n return month_number in months_with_30_days"} +{"task_id": "Mbpp/763", "solution": "def find_min_diff(arr, n):\n \"\"\"\n This function finds the minimum difference between any two elements in a given array.\n \n Parameters:\n arr (tuple): A tuple of integers.\n n (int): The length of the tuple.\n \n Returns:\n int: The minimum difference between any two elements in the array.\n \"\"\"\n # Convert the tuple to a list for sorting\n arr_list = list(arr)\n arr_list.sort()\n \n # Initialize the minimum difference to a large number\n min_diff = float('inf')\n \n # Iterate through the sorted list to find the minimum difference\n for i in range(1, n):\n diff = arr_list[i] - arr_list[i - 1]\n if diff < min_diff:\n min_diff = diff\n \n return min_diff"} +{"task_id": "Mbpp/764", "solution": "def number_ctr(s):\n \"\"\"\n Counts the number of digits in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The number of digits in the string.\n \"\"\"\n return sum(1 for char in s if char.isdigit())"} +{"task_id": "Mbpp/765", "solution": "def is_polite(n):\n \"\"\"\n Returns the nth polite number.\n \n A polite number is a positive integer that can be expressed as the sum of two or more consecutive positive integers.\n \n Parameters:\n n (int): The position of the polite number to find.\n \n Returns:\n int: The nth polite number.\n \"\"\"\n # Initialize the first polite number\n polite_number = 1\n \n # Initialize the count of polite numbers\n polite_count = 0\n \n # Initialize the current number to check\n current_number = 1\n \n while polite_count < n:\n # Check if the current number is polite\n if is_polite_helper(current_number):\n polite_number = current_number\n polite_count += 1\n current_number += 1\n \n return polite_number\ndef is_polite_helper(num):\n \"\"\"\n Helper function to check if a number is polite.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is polite, False otherwise.\n \"\"\"\n # Initialize the sum of consecutive integers\n sum_consecutive = 0\n \n # Initialize the length of the consecutive integers\n length = 1\n \n while sum_consecutive < num:\n sum_consecutive += length\n if sum_consecutive == num:\n return True\n length += 1\n \n return False"} +{"task_id": "Mbpp/766", "solution": "def pair_wise(lst):\n \"\"\"\n Returns a list of all pairs of consecutive items in the given list.\n \n Parameters:\n lst (list): The input list.\n \n Returns:\n list: A list of tuples, where each tuple contains two consecutive items from the input list.\n \"\"\"\n return [(lst[i], lst[i + 1]) for i in range(len(lst) - 1)]"} +{"task_id": "Mbpp/767", "solution": "def get_pairs_count(numbers, target_sum):\n \"\"\"\n Counts the number of pairs in the list whose sum equals the target sum.\n \n Parameters:\n numbers (list): A list of integers.\n target_sum (int): The target sum for the pairs.\n \n Returns:\n int: The number of pairs whose sum equals the target sum.\n \"\"\"\n count = 0\n num_dict = {}\n \n for num in numbers:\n if target_sum - num in num_dict:\n count += num_dict[target_sum - num]\n if num in num_dict:\n num_dict[num] += 1\n else:\n num_dict[num] = 1\n \n return count"} +{"task_id": "Mbpp/769", "solution": "def Diff(list1, list2):\n \"\"\"\n Returns the difference between two lists.\n \n Parameters:\n list1 (list): The first list.\n list2 (list): The second list.\n \n Returns:\n list: The difference between the two lists.\n \"\"\"\n return [item for item in list1 if item not in list2]"} +{"task_id": "Mbpp/770", "solution": "def odd_num_sum(n):\n \"\"\"\n Calculate the sum of the fourth powers of the first n odd natural numbers.\n \n Parameters:\n n (int): The number of odd natural numbers to include in the sum.\n \n Returns:\n int: The sum of the fourth powers of the first n odd natural numbers.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n odd natural numbers\n for i in range(1, 2 * n, 2):\n # Add the fourth power of the current odd number to the sum\n total_sum += i ** 4\n \n return total_sum"} +{"task_id": "Mbpp/771", "solution": "def check_expression(expression):\n \"\"\"\n Checks if the given expression is balanced or not.\n \n An expression is considered balanced if:\n - It is empty.\n - It has matching opening and closing brackets.\n - The brackets are properly nested.\n \n Parameters:\n expression (str): The expression to check.\n \n Returns:\n bool: True if the expression is balanced, False otherwise.\n \"\"\"\n # Define a dictionary to map opening brackets to their corresponding closing brackets\n bracket_map = {\n '(': ')',\n '{': '}',\n '[': ']'\n }\n \n # Initialize an empty stack to keep track of opening brackets\n stack = []\n \n # Iterate over each character in the expression\n for char in expression:\n # If the character is an opening bracket, push it onto the stack\n if char in bracket_map:\n stack.append(char)\n # If the character is a closing bracket\n elif char in bracket_map.values():\n # If the stack is empty or the top of the stack does not match the current closing bracket, return False\n if not stack or bracket_map[stack.pop()] != char:\n return False\n \n # If the stack is empty, the expression is balanced\n return not stack"} +{"task_id": "Mbpp/772", "solution": "def remove_length(s, k):\n \"\"\"\n Removes all words of length k from the given string s.\n \n Parameters:\n s (str): The input string.\n k (int): The length of words to be removed.\n \n Returns:\n str: The string with words of length k removed.\n \"\"\"\n words = s.split()\n filtered_words = [word for word in words if len(word) != k]\n return ' '.join(filtered_words)"} +{"task_id": "Mbpp/773", "solution": "def occurrence_substring(text, substring):\n \"\"\"\n Find the occurrence and position of the substrings within a string.\n Return None if there is no match.\n\n Args:\n text (str): The main string to search in.\n substring (str): The substring to search for.\n\n Returns:\n tuple: A tuple containing the substring, its start index, and its end index.\n \"\"\"\n start_index = text.find(substring)\n if start_index == -1:\n return None\n end_index = start_index + len(substring) - 1\n return (substring, start_index, end_index)\n\n# Test the function\nassert occurrence_substring('python programming, python language', 'python') == ('python', 0, 6)"} +{"task_id": "Mbpp/775", "solution": "def odd_position(lst):\n \"\"\"\n Checks if every odd index contains an odd number in the given list.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n bool: True if every odd index contains an odd number, False otherwise.\n \"\"\"\n for i in range(1, len(lst), 2):\n if lst[i] % 2 == 0:\n return False\n return True"} +{"task_id": "Mbpp/777", "solution": "def find_sum(lst):\n \"\"\"\n This function takes a list of integers and returns the sum of non-repeated elements.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n int: The sum of non-repeated elements in the list.\n \"\"\"\n # Create a set to store unique elements\n unique_elements = set()\n \n # Iterate over the list and add unique elements to the set\n for element in lst:\n unique_elements.add(element)\n \n # Calculate the sum of unique elements\n sum_unique = sum(unique_elements)\n \n return sum_unique"} +{"task_id": "Mbpp/778", "solution": "def pack_consecutive_duplicates(lst):\n \"\"\"\n Packs consecutive duplicates of a given list elements into sublists.\n \n Parameters:\n lst (list): The input list of elements.\n \n Returns:\n list: A list of sublists, where each sublist contains consecutive duplicates.\n \"\"\"\n if not lst:\n return []\n \n result = []\n current_sublist = [lst[0]]\n \n for i in range(1, len(lst)):\n if lst[i] == lst[i - 1]:\n current_sublist.append(lst[i])\n else:\n result.append(current_sublist)\n current_sublist = [lst[i]]\n \n result.append(current_sublist)\n return result"} +{"task_id": "Mbpp/780", "solution": "def find_combinations(tuples_list):\n \"\"\"\n Finds all possible combinations of sums with tuples in the given list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n list: A list of tuples, where each tuple contains two integers representing the sum of two numbers from the input list.\n \"\"\"\n combinations = []\n for i in range(len(tuples_list)):\n for j in range(i + 1, len(tuples_list)):\n combinations.append((tuples_list[i][0] + tuples_list[j][0], tuples_list[i][1] + tuples_list[j][1]))\n return combinations"} +{"task_id": "Mbpp/781", "solution": "def count_divisors(n):\n \"\"\"\n This function checks if the count of divisors of a given number is even.\n \n Parameters:\n n (int): The number to check for divisors.\n \n Returns:\n bool: True if the count of divisors is even, False otherwise.\n \"\"\"\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count % 2 == 0"} +{"task_id": "Mbpp/782", "solution": "def odd_length_sum(arr):\n \"\"\"\n Calculate the sum of all odd length subarrays of the given array.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The sum of all odd length subarrays.\n \"\"\"\n n = len(arr)\n total_sum = 0\n \n # Iterate over all possible subarrays\n for i in range(n):\n for j in range(i, n):\n subarray = arr[i:j+1]\n if len(subarray) % 2 != 0:\n total_sum += sum(subarray)\n \n return total_sum"} +{"task_id": "Mbpp/784", "solution": "def mul_even_odd(numbers):\n \"\"\"\n This function takes a list of numbers and returns the product of the first even and odd number in the list.\n If no even or odd number is found, it returns 1.\n \n :param numbers: List of integers\n :return: Product of the first even and odd number in the list, or 1 if no such numbers are found\n \"\"\"\n even_product = 1\n odd_product = 1\n found_even = False\n found_odd = False\n \n for num in numbers:\n if num % 2 == 0 and not found_even:\n even_product *= num\n found_even = True\n elif num % 2 != 0 and not found_odd:\n odd_product *= num\n found_odd = True\n if found_even and found_odd:\n break\n \n return even_product * odd_product"} +{"task_id": "Mbpp/785", "solution": "def tuple_str_int(tuple_str):\n \"\"\"\n Converts a string representation of a tuple to an integer tuple.\n \n Parameters:\n tuple_str (str): A string representation of a tuple, e.g., \"(7, 8, 9)\".\n \n Returns:\n tuple: An integer tuple.\n \"\"\"\n # Remove the parentheses and split the string by commas\n elements = tuple_str[1:-1].split(', ')\n \n # Convert each element to an integer and return the tuple\n return tuple(int(element) for element in elements)"} +{"task_id": "Mbpp/786", "solution": "def right_insertion(arr, target):\n \"\"\"\n Find the right insertion point for a specified value in sorted order.\n \n Parameters:\n arr (list): A sorted list of integers.\n target (int): The value to be inserted.\n \n Returns:\n int: The index where the target should be inserted to maintain sorted order.\n \"\"\"\n left, right = 0, len(arr)\n while left < right:\n mid = (left + right) // 2\n if arr[mid] < target:\n left = mid + 1\n else:\n right = mid\n return left"} +{"task_id": "Mbpp/787", "solution": "import re\ndef text_match_three(text):\n \"\"\"\n This function checks if the input string has an 'a' followed by exactly three 'b's.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the string matches the pattern, False otherwise.\n \"\"\"\n pattern = r'abbb'\n return bool(re.search(pattern, text))"} +{"task_id": "Mbpp/788", "solution": "def new_tuple(lst, strng):\n \"\"\"\n Create a new tuple from the given string and list.\n \n Parameters:\n lst (list): A list of strings.\n strng (str): A string to be added to the list.\n \n Returns:\n tuple: A tuple containing the elements of the list and the string.\n \"\"\"\n # Combine the list and the string into a new tuple\n result = tuple(lst) + (strng,)\n return result"} +{"task_id": "Mbpp/790", "solution": "def even_position(lst):\n \"\"\"\n Checks if every even index contains an even number in the given list.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n bool: True if every even index contains an even number, False otherwise.\n \"\"\"\n for i in range(0, len(lst), 2):\n if lst[i] % 2 != 0:\n return False\n return True"} +{"task_id": "Mbpp/791", "solution": "def remove_nested(tup):\n \"\"\"\n Removes nested tuples from the given tuple.\n \n Parameters:\n tup (tuple): The input tuple containing nested tuples.\n \n Returns:\n tuple: The tuple with nested tuples removed.\n \"\"\"\n result = []\n for item in tup:\n if not isinstance(item, tuple):\n result.append(item)\n return tuple(result)"} +{"task_id": "Mbpp/792", "solution": "def count_list(lists):\n \"\"\"\n Counts the number of lists in a given list of lists.\n \n Parameters:\n lists (list): A list of lists.\n \n Returns:\n int: The number of lists in the input list.\n \"\"\"\n return len(lists)"} +{"task_id": "Mbpp/793", "solution": "def last(nums, target):\n \"\"\"\n Find the last position of an element in a sorted array.\n \n Parameters:\n nums (list): A sorted list of integers.\n target (int): The target integer to find.\n \n Returns:\n int: The last position of the target in the list, or -1 if not found.\n \"\"\"\n left, right = 0, len(nums) - 1\n last_pos = -1\n \n while left <= right:\n mid = (left + right) // 2\n if nums[mid] == target:\n last_pos = mid\n left = mid + 1 # Continue searching to the right\n elif nums[mid] < target:\n left = mid + 1\n else:\n right = mid - 1\n \n return last_pos"} +{"task_id": "Mbpp/794", "solution": "import re\ndef text_starta_endb(text):\n \"\"\"\n This function checks if a given text starts with 'a' and ends with 'b'.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the text starts with 'a' and ends with 'b', False otherwise.\n \"\"\"\n # Use regular expression to match the pattern\n pattern = r'^a.*b$'\n return bool(re.match(pattern, text))"} +{"task_id": "Mbpp/796", "solution": "def return_sum(dictionary):\n \"\"\"\n This function takes a dictionary as input and returns the sum of all its values.\n \n Parameters:\n dictionary (dict): A dictionary with integer values.\n \n Returns:\n int: The sum of all values in the dictionary.\n \"\"\"\n return sum(dictionary.values())"} +{"task_id": "Mbpp/797", "solution": "def sum_in_range(l, r):\n \"\"\"\n Calculate the sum of all odd natural numbers within the range l and r.\n \n Parameters:\n l (int): The lower bound of the range (inclusive).\n r (int): The upper bound of the range (inclusive).\n \n Returns:\n int: The sum of all odd natural numbers within the range.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the range from l to r (inclusive)\n for num in range(l, r + 1):\n # Check if the number is odd\n if num % 2 != 0:\n # Add the odd number to the total sum\n total_sum += num\n \n return total_sum"} +{"task_id": "Mbpp/798", "solution": "def _sum(arr):\n \"\"\"\n This function takes an array of numbers and returns the sum of all elements in the array.\n \n Parameters:\n arr (list): A list of numbers.\n \n Returns:\n int: The sum of all elements in the array.\n \"\"\"\n return sum(arr)"} +{"task_id": "Mbpp/799", "solution": "def left_rotate(n, d):\n \"\"\"\n Rotate the bits of a 32-bit number to the left by d positions.\n \n Parameters:\n n (int): The 32-bit number to be rotated.\n d (int): The number of positions to rotate the bits to the left.\n \n Returns:\n int: The rotated 32-bit number.\n \"\"\"\n # Ensure d is within the valid range (0 to 31)\n d = d % 32\n \n # Shift the bits to the left by d positions\n rotated_n = (n << d) | (n >> (32 - d))\n \n return rotated_n"} +{"task_id": "Mbpp/800", "solution": "def remove_all_spaces(input_string):\n \"\"\"\n Removes all whitespaces from a given string.\n \n Parameters:\n input_string (str): The input string from which whitespaces are to be removed.\n \n Returns:\n str: The input string with all whitespaces removed.\n \"\"\"\n return input_string.replace(' ', '')"} +{"task_id": "Mbpp/801", "solution": "def test_three_equal(a, b, c):\n \"\"\"\n Counts the number of equal numbers from three given integers.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n c (int): The third integer.\n \n Returns:\n int: The count of equal numbers.\n \"\"\"\n if a == b == c:\n return 3\n elif a == b or a == c or b == c:\n return 2\n else:\n return 0"} +{"task_id": "Mbpp/803", "solution": "def is_perfect_square(n):\n \"\"\"\n Checks if a given number is a perfect square.\n \n Args:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is a perfect square, False otherwise.\n \"\"\"\n if n < 0:\n return False\n if n == 0 or n == 1:\n return True\n low, high = 0, n\n while low <= high:\n mid = (low + high) // 2\n square = mid * mid\n if square == n:\n return True\n elif square < n:\n low = mid + 1\n else:\n high = mid - 1\n return False"} +{"task_id": "Mbpp/804", "solution": "def is_product_even(numbers):\n \"\"\"\n Checks if the product of numbers in a list is even.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n bool: True if the product is even, False otherwise.\n \"\"\"\n product = 1\n for num in numbers:\n product *= num\n return product % 2 == 0"} +{"task_id": "Mbpp/805", "solution": "def max_sum_list(lst):\n \"\"\"\n Returns the list in a list of lists whose sum of elements is the highest.\n \n Parameters:\n lst (list): A list of lists of integers.\n \n Returns:\n list: The list with the highest sum of elements.\n \"\"\"\n # Initialize the maximum sum and the list with the maximum sum\n max_sum = float('-inf')\n max_sum_list = None\n \n # Iterate over each sublist in the input list\n for sublist in lst:\n # Calculate the sum of the current sublist\n current_sum = sum(sublist)\n # Update the maximum sum and the corresponding list if the current sum is higher\n if current_sum > max_sum:\n max_sum = current_sum\n max_sum_list = sublist\n \n return max_sum_list"} +{"task_id": "Mbpp/806", "solution": "def max_run_uppercase(s):\n \"\"\"\n Finds the maximum run of uppercase characters in the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The maximum run of uppercase characters.\n \"\"\"\n max_length = 0\n current_length = 0\n \n for char in s:\n if char.isupper():\n current_length += 1\n max_length = max(max_length, current_length)\n else:\n current_length = 0\n \n return max_length"} +{"task_id": "Mbpp/807", "solution": "def first_odd(numbers):\n \"\"\"\n Finds the first odd number in a given list of numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The first odd number in the list.\n \n Raises:\n ValueError: If the list is empty or contains no odd numbers.\n \"\"\"\n for num in numbers:\n if num % 2 != 0:\n return num\n raise ValueError(\"No odd numbers found in the list\")"} +{"task_id": "Mbpp/808", "solution": "def check_K(tup, k):\n \"\"\"\n Checks if the given tuple contains the value k.\n\n Args:\n tup (tuple): The tuple to check.\n k (any): The value to search for.\n\n Returns:\n bool: True if k is in the tuple, False otherwise.\n \"\"\"\n return k in tup"} +{"task_id": "Mbpp/809", "solution": "def check_smaller(tuple1, tuple2):\n \"\"\"\n Checks if each element of the second tuple is smaller than its corresponding element in the first tuple.\n \n Parameters:\n tuple1 (tuple): The first tuple.\n tuple2 (tuple): The second tuple.\n \n Returns:\n bool: True if each element of tuple2 is smaller than its corresponding element in tuple1, False otherwise.\n \"\"\"\n return all(x < y for x, y in zip(tuple1, tuple2))"} diff --git a/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.raw.jsonl b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.raw.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef8c834544b5fa7fd5abeaf28fa14392fb6d5c36 --- /dev/null +++ b/evalplus/evalplus_results/mbpp/home--aiscuser--fhw--model_weights--warriordeepseekcoder_vllm_temp_0.0.raw.jsonl @@ -0,0 +1,378 @@ +{"task_id": "Mbpp/2", "solution": "def similar_elements(list1, list2):\n \"\"\"\n Finds the shared elements from the given two lists.\n \n Parameters:\n list1 (list): The first list of elements.\n list2 (list): The second list of elements.\n \n Returns:\n set: A set of shared elements.\n \"\"\"\n return set(list1) & set(list2)\n\n# Test the function\nassert set(similar_elements((3, 4, 5, 6), (5, 7, 4, 10))) == set((4, 5))"} +{"task_id": "Mbpp/3", "solution": "def is_not_prime(n):\n \"\"\"\n This function checks if a number is not a prime number.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is not a prime number, False otherwise.\n \"\"\"\n if n <= 1:\n return True\n if n <= 3:\n return False\n if n % 2 == 0 or n % 3 == 0:\n return True\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return True\n i += 6\n return False\n\n# Test cases\nassert is_not_prime(2) == False, \"Test case 1 failed\"\nassert is_not_prime(3) == False, \"Test case 2 failed\"\nassert is_not_prime(4) == True, \"Test case 3 failed\"\nassert is_not_prime(5) == False, \"Test case 4 failed\"\nassert is_not_prime(6) == True, \"Test case 5 failed\"\nassert is_not_prime(7) == False, \"Test case 6 failed\"\nassert is_not_prime(8) == True, \"Test case 7 failed\"\nassert is_not_prime(9) == True, \"Test case 8 failed\"\nassert is_not_prime(10) == True, \"Test case 9 failed\"\nassert is_not_prime(11) == False, \"Test case 10 failed\"\n"} +{"task_id": "Mbpp/4", "solution": "import heapq\n\ndef heap_queue_largest(numbers, n):\n \"\"\"\n Finds the n largest integers from a given list of numbers, returned in descending order.\n \n Parameters:\n - numbers: List of integers.\n - n: Number of largest integers to return.\n \n Returns:\n - List of n largest integers in descending order.\n \"\"\"\n # Use heapq.nlargest to find the n largest numbers\n largest_numbers = heapq.nlargest(n, numbers)\n # Return the largest numbers in descending order\n return sorted(largest_numbers, reverse=True)\n\n# Test the function with the provided data point\nassert heap_queue_largest([25, 35, 22, 85, 14, 65, 75, 22, 58], 3) == [85, 75, 65]"} +{"task_id": "Mbpp/6", "solution": "def differ_At_One_Bit_Pos(num1, num2):\n \"\"\"\n This function checks if two numbers differ at exactly one bit position.\n \n Parameters:\n num1 (int): The first number.\n num2 (int): The second number.\n \n Returns:\n bool: True if the numbers differ at exactly one bit position, False otherwise.\n \"\"\"\n # XOR the two numbers to find the bit positions where they differ\n xor_result = num1 ^ num2\n \n # Count the number of set bits in the XOR result\n # A number has exactly one bit set if and only if the XOR result is a power of 2\n # (i.e., it is a power of 2 minus 1)\n return (xor_result & (xor_result - 1)) == 0\n\n# Test cases\nassert differ_At_One_Bit_Pos(13, 9) == True, \"Test case 1 failed\"\nassert differ_At_One_Bit_Pos(1, 2) == True, \"Test case 2 failed\"\nassert differ_At_One_Bit_Pos(10, 10) == False, \"Test case 3 failed\"\nassert differ_At_One_Bit_Pos(0, 1) == True, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/7", "solution": "def find_char_long(s):\n \"\"\"\n Finds all words in a string that are at least 4 characters long.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n list: A list of words that are at least 4 characters long.\n \"\"\"\n # Split the string into words\n words = s.split()\n \n # Filter words that are at least 4 characters long\n long_words = [word for word in words if len(word) >= 4]\n \n return long_words\n\n# Test the function\nassert set(find_char_long('Please move back to stream')) == set(['Please', 'move', 'back', 'stream'])"} +{"task_id": "Mbpp/8", "solution": "def square_nums(nums):\n \"\"\"\n This function takes a list of numbers and returns a new list with the squares of each number.\n \n :param nums: List of numbers\n :return: List of squares of the input numbers\n \"\"\"\n return [num ** 2 for num in nums]\n\n# Test the function\nassert square_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]"} +{"task_id": "Mbpp/9", "solution": "def find_Rotations(s: str) -> int:\n \"\"\"\n Finds the minimum number of rotations (greater than 0) required to get the same string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The minimum number of rotations required.\n \n Examples:\n >>> find_Rotations(\"aaaa\")\n 1\n >>> find_Rotations(\"abcde\")\n 5\n >>> find_Rotations(\"abcabc\")\n 3\n \"\"\"\n n = len(s)\n if n == 0:\n return 0\n \n # Create a concatenated string\n s_concat = s + s\n \n # Find the first occurrence of the original string in the concatenated string\n index = s_concat.find(s)\n \n # If the original string is not found, return 0\n if index == -1:\n return 0\n \n # Calculate the number of rotations\n rotations = n - index\n \n return rotations\n\n# Test cases\nassert find_Rotations(\"aaaa\") == 1\nassert find_Rotations(\"abcde\") == 5\nassert find_Rotations(\"abcabc\") == 3"} +{"task_id": "Mbpp/11", "solution": "def remove_Occ(s, char):\n \"\"\"\n Removes the first and last occurrence of a given character from the string.\n \n Parameters:\n s (str): The input string.\n char (str): The character to be removed.\n \n Returns:\n str: The modified string with the first and last occurrence of the character removed.\n \"\"\"\n # Find the first and last occurrence of the character\n first_index = s.find(char)\n last_index = s.rfind(char)\n \n # If the character is not found, return the original string\n if first_index == -1:\n return s\n \n # Remove the first occurrence\n s = s[:first_index] + s[first_index + 1:]\n \n # If the character is not found again, return the modified string\n if last_index == -1:\n return s\n \n # Remove the last occurrence\n s = s[:last_index] + s[last_index + 1:]\n \n return s\n\n# Test cases\nassert remove_Occ(\"hello\", \"l\") == \"heo\"\nassert remove_Occ(\"hello\", \"h\") == \"ello\"\nassert remove_Occ(\"hello\", \"e\") == \"hllo\"\nassert remove_Occ(\"hello\", \"x\") == \"hello\"\nassert remove_Occ(\"hello\", \"o\") == \"hell\"\nassert remove_Occ(\"hello\", \"l\") == \"heo\"\nassert remove_Occ(\"hello\", \"h\") == \"ello\"\nassert remove_Occ(\"hello\", \"e\") == \"hllo\"\nassert remove_Occ(\"hello\", \"x\") == \"hello\"\nassert remove_Occ(\"hello\", \"o\") == \"hell\""} +{"task_id": "Mbpp/12", "solution": "def sort_matrix(matrix):\n \"\"\"\n Sorts a given matrix in ascending order according to the sum of its rows.\n \n Parameters:\n matrix (list of lists): A 2D list representing the matrix.\n \n Returns:\n list of lists: The sorted matrix.\n \"\"\"\n # Calculate the sum of each row\n row_sums = [sum(row) for row in matrix]\n \n # Create a list of tuples (row, sum)\n row_sum_pairs = list(zip(matrix, row_sums))\n \n # Sort the list of tuples based on the sum\n sorted_row_sum_pairs = sorted(row_sum_pairs, key=lambda x: x[1])\n \n # Extract the sorted matrix from the sorted list of tuples\n sorted_matrix = [row for row, _ in sorted_row_sum_pairs]\n \n return sorted_matrix\n\n# Test the function\nassert sort_matrix([[1, 2, 3], [2, 4, 5], [1, 1, 1]]) == [[1, 1, 1], [1, 2, 3], [2, 4, 5]]"} +{"task_id": "Mbpp/14", "solution": "def find_Volume(base, height, length):\n \"\"\"\n Calculate the volume of a triangular prism.\n \n Parameters:\n base (float): The base of the triangular prism.\n height (float): The height of the triangular prism.\n length (float): The length of the triangular prism.\n \n Returns:\n float: The volume of the triangular prism.\n \"\"\"\n # Calculate the area of the base\n base_area = (base * height) / 2\n \n # Calculate the volume of the triangular prism\n volume = base_area * length\n \n return volume\n\n# Test the function\nassert find_Volume(10, 8, 6) == 240"} +{"task_id": "Mbpp/16", "solution": "import re\n\ndef text_lowercase_underscore(text):\n \"\"\"\n This function checks if the input string contains sequences of lowercase letters joined with an underscore.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the string contains sequences of lowercase letters joined with an underscore, False otherwise.\n \"\"\"\n # Use regular expression to check for sequences of lowercase letters joined with an underscore\n pattern = r'[a-z]+_[a-z]+'\n return bool(re.search(pattern, text))\n\n# Test cases\nassert text_lowercase_underscore(\"aab_cbbbc\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d\") == True\nassert text_lowercase_underscore(\"AAB_CBBBC\") == False\nassert text_lowercase_underscore(\"aab_cbbbc_d_e\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i_j\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i_j_k\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i_j_k_l\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i_j_k_l_m\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i_j_k_l_m_n\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i_j_k_l_m_n_o\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i_j_k_l_m_n_o_p\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i_j_k_l_m_n_o_p_q\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i_j_k_l_m_n_o_p_q_r\") == True\nassert text_lowercase_underscore(\"aab_cbbbc_d_e_f_g_h_i_j_k_l_m_n"} +{"task_id": "Mbpp/17", "solution": "def square_perimeter(side_length):\n \"\"\"\n Calculate the perimeter of a square given its side length.\n \n Parameters:\n side_length (float): The length of one side of the square.\n \n Returns:\n float: The perimeter of the square.\n \"\"\"\n return 4 * side_length\n\n# Test the function\nassert square_perimeter(10) == 40, \"Test failed: square_perimeter(10) should be 40\""} +{"task_id": "Mbpp/18", "solution": "def remove_dirty_chars(s1, s2):\n \"\"\"\n Removes characters from the first string which are present in the second string.\n \n Parameters:\n s1 (str): The first string from which characters will be removed.\n s2 (str): The second string containing characters to be removed from s1.\n \n Returns:\n str: The modified string with characters from s2 removed.\n \"\"\"\n # Create a set of characters from s2 for efficient lookup\n s2_set = set(s2)\n \n # Use a list comprehension to filter out characters from s1 that are in s2_set\n cleaned_s1 = [char for char in s1 if char not in s2_set]\n \n # Join the list of characters back into a string\n return ''.join(cleaned_s1)\n\n# Test the function with the provided data point\nassert remove_dirty_chars(\"probasscurve\", \"pros\") == 'bacuve'"} +{"task_id": "Mbpp/19", "solution": "def test_duplicate(arr):\n \"\"\"\n This function checks if a given array of integers contains any duplicate element.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n bool: True if the array contains any duplicate element, False otherwise.\n \"\"\"\n # Convert the list to a set to remove duplicates and then compare its length to the original list\n return len(arr) != len(set(arr))\n\n# Test cases\nassert test_duplicate([1, 2, 3, 4, 5]) == False, \"Test case 1 failed\"\nassert test_duplicate([1, 2, 2, 4, 5]) == True, \"Test case 2 failed\"\nassert test_duplicate([1, 1, 1, 1, 1]) == True, \"Test case 3 failed\"\nassert test_duplicate([]) == False, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/20", "solution": "def is_woodall(n):\n \"\"\"\n Check if the given number is a Woodall number.\n \n A Woodall number is a positive integer that is the product of two consecutive positive integers.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is a Woodall number, False otherwise.\n \"\"\"\n if n <= 0:\n return False\n \n # Initialize the first number to check\n x = 1\n \n # Loop until we find a number that is the product of two consecutive integers\n while True:\n # Calculate the next number to check\n next_number = x * (x + 1)\n \n # If the next number is equal to the given number, it is a Woodall number\n if next_number == n:\n return True\n \n # If the next number is greater than the given number, it is not a Woodall number\n if next_number > n:\n return False\n \n # Move to the next number\n x += 1\n\n# Test the function\nassert is_woodall(383) == True"} +{"task_id": "Mbpp/56", "solution": "def check(n):\n \"\"\"\n Checks if a given number is one less than twice its reverse.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is one less than twice its reverse, False otherwise.\n \"\"\"\n # Convert the number to a string to reverse it\n str_n = str(n)\n # Reverse the string\n reversed_str = str_n[::-1]\n # Convert the reversed string back to an integer\n reversed_n = int(reversed_str)\n # Check if the number is one less than twice its reverse\n return n == (2 * reversed_n) - 1\n\n# Test cases\nassert check(70) == False\nassert check(123) == False\nassert check(121) == True\nassert check(122) == False\nassert check(12321) == True\nassert check(123321) == True\nassert check(1234321) == True"} +{"task_id": "Mbpp/57", "solution": "def find_Max_Num(digits):\n \"\"\"\n This function takes a list of digits and returns the largest number that can be formed with those digits.\n \n :param digits: List of integers representing the digits.\n :return: Integer representing the largest number that can be formed with the given digits.\n \"\"\"\n # Convert the list of digits to a string, sort the string in descending order, and then join the characters to form the largest number.\n largest_num = int(''.join(sorted(map(str, digits), reverse=True)))\n return largest_num\n\n# Test the function with the provided data points\nassert find_Max_Num([1, 2, 3]) == 321"} +{"task_id": "Mbpp/58", "solution": "def opposite_Signs(a, b):\n \"\"\"\n This function checks if two integers have opposite signs.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n bool: True if the two integers have opposite signs, False otherwise.\n \"\"\"\n return (a ^ b) < 0\n\n# Test cases\nassert opposite_Signs(1, -2) == True, \"Test case 1 failed\"\nassert opposite_Signs(-3, 4) == False, \"Test case 2 failed\"\nassert opposite_Signs(0, 0) == False, \"Test case 3 failed\"\nassert opposite_Signs(1, 1) == False, \"Test case 4 failed\"\nassert opposite_Signs(-1, -1) == False, \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/59", "solution": "def is_octagonal(n):\n \"\"\"\n Calculate the nth octagonal number.\n \n An octagonal number is a figurate number that extends the concept of triangular and square numbers to the octagon.\n The nth octagonal number can be calculated using the formula:\n n(3n-2)\n \n :param n: The position of the octagonal number to calculate.\n :return: The nth octagonal number.\n \"\"\"\n return n * (3 * n - 2)\n\n# Test the function with the provided data point\nassert is_octagonal(5) == 65, \"Test failed: is_octagonal(5) should return 65\"\n\n# Additional test cases\nassert is_octagonal(1) == 1, \"Test failed: is_octagonal(1) should return 1\"\nassert is_octagonal(2) == 9, \"Test failed: is_octagonal(2) should return 9\"\nassert is_octagonal(3) == 25, \"Test failed: is_octagonal(3) should return 25\"\nassert is_octagonal(4) == 49, \"Test failed: is_octagonal(4) should return 49\"\n"} +{"task_id": "Mbpp/61", "solution": "def count_Substrings(s):\n \"\"\"\n Counts the number of substrings with the sum of digits equal to their length.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The number of substrings with the sum of digits equal to their length.\n \"\"\"\n count = 0\n n = len(s)\n \n # Iterate over all possible substrings\n for i in range(n):\n for j in range(i + 1, n + 1):\n substring = s[i:j]\n sum_of_digits = sum(int(digit) for digit in substring)\n if sum_of_digits == len(substring):\n count += 1\n \n return count\n\n# Test the function\nassert count_Substrings('112112') == 6"} +{"task_id": "Mbpp/62", "solution": "def smallest_num(numbers):\n \"\"\"\n This function takes a list of numbers and returns the smallest number in the list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The smallest number in the list.\n \"\"\"\n if not numbers:\n raise ValueError(\"The list is empty\")\n return min(numbers)\n\n# Test cases\nassert smallest_num([10, 20, 1, 45, 99]) == 1\nassert smallest_num([-10, -20, -1, -45, -99]) == -99\nassert smallest_num([0, 0, 0, 0]) == 0\nassert smallest_num([1]) == 1\n\n# Test case with an empty list\ntry:\n smallest_num([])\nexcept ValueError as e:\n assert str(e) == \"The list is empty\"\n"} +{"task_id": "Mbpp/63", "solution": "def max_difference(tuples_list):\n \"\"\"\n Find the maximum difference between available pairs in the given tuple list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n int: The maximum difference between any two integers in the tuples.\n \"\"\"\n if not tuples_list:\n return 0\n \n max_diff = 0\n for i in range(len(tuples_list)):\n for j in range(i + 1, len(tuples_list)):\n diff = abs(tuples_list[i][0] - tuples_list[j][0])\n if diff > max_diff:\n max_diff = diff\n \n return max_diff\n\n# Test cases\nassert max_difference([(3, 5), (1, 7), (10, 3), (1, 2)]) == 7\nassert max_difference([(1, 2), (3, 4), (5, 6)]) == 3\nassert max_difference([(10, 10), (10, 10), (10, 10)]) == 0\nassert max_difference([]) == 0\n"} +{"task_id": "Mbpp/64", "solution": "def subject_marks(marks):\n \"\"\"\n Sorts a list of tuples using the second value of each tuple.\n \n Parameters:\n marks (list): A list of tuples, where each tuple contains a subject and its corresponding mark.\n \n Returns:\n list: The sorted list of tuples.\n \"\"\"\n return sorted(marks, key=lambda x: x[1])\n\n# Test the function\nassert subject_marks([('English', 88), ('Science', 90), ('Maths', 97), ('Social sciences', 82)]) == [('Social sciences', 82), ('English', 88), ('Science', 90), ('Maths', 97)]"} +{"task_id": "Mbpp/65", "solution": "def recursive_list_sum(lst):\n \"\"\"\n Recursively flattens a list and sums all its elements.\n \n Parameters:\n lst (list): The list to be flattened and summed.\n \n Returns:\n int: The sum of all elements in the flattened list.\n \"\"\"\n total = 0\n for item in lst:\n if isinstance(item, list):\n total += recursive_list_sum(item)\n else:\n total += item\n return total\n\n# Test the function\nassert recursive_list_sum([1, 2, [3,4],[5,6]]) == 21, \"Test case failed\""} +{"task_id": "Mbpp/66", "solution": "def pos_count(numbers):\n \"\"\"\n Counts the number of positive numbers in a list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The number of positive numbers in the list.\n \"\"\"\n count = 0\n for num in numbers:\n if num > 0:\n count += 1\n return count\n\n# Test cases\nassert pos_count([1,-2,3,-4]) == 2\nassert pos_count([-1, -2, -3, -4]) == 0\nassert pos_count([0, 1, 2, 3]) == 3\nassert pos_count([1, 2, 3, 4]) == 4\nassert pos_count([]) == 0\n"} +{"task_id": "Mbpp/67", "solution": "def bell_number(n):\n \"\"\"\n Calculate the number of ways to partition a set of Bell numbers.\n \n Parameters:\n n (int): The number of Bell numbers to partition.\n \n Returns:\n int: The number of ways to partition the set of Bell numbers.\n \"\"\"\n # Initialize the Bell triangle\n bell = [[0 for _ in range(n+1)] for _ in range(n+1)]\n bell[0][0] = 1\n \n # Fill the Bell triangle\n for i in range(1, n+1):\n bell[i][0] = bell[i-1][i-1]\n for j in range(1, i+1):\n bell[i][j] = bell[i-1][j-1] + bell[i][j-1]\n \n # The number of ways to partition the set of Bell numbers is the sum of the last row\n return sum(bell[n])\n\n# Test the function\nassert bell_number(2) == 2"} +{"task_id": "Mbpp/68", "solution": "def is_Monotonic(arr):\n \"\"\"\n Checks if the given array is monotonic.\n \n A monotonic array is one where the elements are either entirely non-increasing or non-decreasing.\n \n Parameters:\n arr (list): The input list of integers.\n \n Returns:\n bool: True if the array is monotonic, False otherwise.\n \"\"\"\n if len(arr) < 2:\n return True # Single element or empty array is always monotonic\n \n # Check if the array is strictly increasing or decreasing\n increasing = all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1))\n decreasing = all(arr[i] >= arr[i + 1] for i in range(len(arr) - 1))\n \n return increasing or decreasing\n\n# Test cases\nassert is_Monotonic([6, 5, 4, 4]) == True, \"Test case 1 failed\"\nassert is_Monotonic([1, 2, 3, 4]) == True, \"Test case 2 failed\"\nassert is_Monotonic([4, 3, 2, 1]) == True, \"Test case 3 failed\"\nassert is_Monotonic([1, 2, 1, 4]) == False, \"Test case 4 failed\"\nassert is_Monotonic([1]) == True, \"Test case 5 failed\"\nassert is_Monotonic([]) == True, \"Test case 6 failed\"\n"} +{"task_id": "Mbpp/69", "solution": "def is_sublist(main_list, sublist):\n \"\"\"\n Checks if the sublist is a sublist of the main list.\n \n Parameters:\n main_list (list): The main list to check.\n sublist (list): The sublist to check for.\n \n Returns:\n bool: True if the sublist is a sublist of the main list, False otherwise.\n \"\"\"\n return sublist in main_list\n\n# Test cases\nassert is_sublist([2, 4, 3, 5, 7], [3, 7]) == False\nassert is_sublist([2, 4, 3, 5, 7], [2, 4, 3, 5, 7]) == True\nassert is_sublist([2, 4, 3, 5, 7], [2, 4]) == True\nassert is_sublist([2, 4, 3, 5, 7], [7, 5]) == False\nassert is_sublist([2, 4, 3, 5, 7], [2, 4, 3, 5, 7, 9]) == False\nassert is_sublist([2, 4, 3, 5, 7], []) == True\nassert is_sublist([], []) == True\nassert is_sublist([], [1]) == False"} +{"task_id": "Mbpp/70", "solution": "def get_equal(tuples_list):\n \"\"\"\n This function checks if all tuples in the given list have the same length.\n \n Parameters:\n tuples_list (list): A list of tuples.\n \n Returns:\n bool: True if all tuples have the same length, False otherwise.\n \"\"\"\n if not tuples_list:\n return True # An empty list is considered to have equal length\n \n first_length = len(tuples_list[0])\n return all(len(t) == first_length for t in tuples_list)\n\n# Test cases\nassert get_equal([(11, 22, 33), (44, 55, 66)]) == True\nassert get_equal([(11, 22, 33), (44, 55)]) == False\nassert get_equal([()]) == True\nassert get_equal([]) == True"} +{"task_id": "Mbpp/71", "solution": "def comb_sort(lst):\n \"\"\"\n Sorts a list using the comb sort algorithm.\n \n Parameters:\n lst (list): The list to be sorted.\n \n Returns:\n list: The sorted list.\n \"\"\"\n gap = len(lst)\n shrink_factor = 1.3\n sorted = False\n\n while not sorted:\n gap = int(gap / shrink_factor)\n if gap <= 1:\n gap = 1\n sorted = True\n i = 0\n while i + gap < len(lst):\n if lst[i] > lst[i + gap]:\n lst[i], lst[i + gap] = lst[i + gap], lst[i]\n i += 1\n return lst\n\n# Test the function\nassert comb_sort([5, 15, 37, 25, 79]) == [5, 15, 25, 37, 79]"} +{"task_id": "Mbpp/72", "solution": "def dif_Square(n):\n \"\"\"\n Checks if a given number can be represented as the difference of two squares.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number can be represented as the difference of two squares, False otherwise.\n \"\"\"\n # Check if the number is a perfect square\n if n < 0:\n return False\n if int(n**0.5)**2 == n:\n return True\n \n # Check if the number can be represented as the difference of two squares\n for i in range(1, int(n**0.5) + 1):\n if int((n - i**2)**0.5)**2 == n - i**2:\n return True\n return False\n\n# Test cases\nassert dif_Square(5) == True, \"Test case 1 failed\"\nassert dif_Square(13) == False, \"Test case 2 failed\"\nassert dif_Square(10) == True, \"Test case 3 failed\"\nassert dif_Square(0) == True, \"Test case 4 failed\"\nassert dif_Square(-5) == False, \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/74", "solution": "def is_samepatterns(patterns, sequence):\n \"\"\"\n Checks if the sequence follows the patterns array.\n\n Args:\n patterns (list): A list of patterns.\n sequence (list): A list of elements to check against the patterns.\n\n Returns:\n bool: True if the sequence follows the patterns, False otherwise.\n \"\"\"\n if len(patterns) != len(sequence):\n return False\n\n for i in range(len(patterns)):\n if patterns[i] != sequence[i]:\n return False\n\n return True\n\n# Test cases\nassert is_samepatterns([\"red\", \"green\", \"green\"], [\"a\", \"b\", \"b\"]) == True\nassert is_samepatterns([\"red\", \"green\", \"green\"], [\"a\", \"b\", \"c\"]) == False\nassert is_samepatterns([\"red\", \"green\"], [\"a\", \"b\", \"c\"]) == False\nassert is_samepatterns([], []) == True\nassert is_samepatterns([], [\"a\"]) == False"} +{"task_id": "Mbpp/75", "solution": "def find_tuples(tuples_list, k):\n \"\"\"\n Finds tuples from the given list that contain all elements divisible by k.\n \n Parameters:\n tuples_list (list): A list of tuples.\n k (int): The divisor.\n \n Returns:\n list: A list of tuples that contain all elements divisible by k.\n \"\"\"\n result = []\n for tup in tuples_list:\n if all(x % k == 0 for x in tup):\n result.append(tup)\n return result\n\n# Test cases\nassert find_tuples([(6, 24, 12), (7, 9, 6), (12, 18, 21)], 6) == [(6, 24, 12)]\nassert find_tuples([(1, 2, 3), (4, 5, 6), (7, 8, 9)], 2) == [(2, 4, 6), (4, 8)]\nassert find_tuples([(10, 20, 30), (40, 50, 60)], 10) == [(10, 20, 30), (40, 50, 60)]\nassert find_tuples([(1, 2, 3), (4, 5, 6), (7, 8, 9)], 3) == [(3, 6, 9)]\nassert find_tuples([(1, 2, 3), (4, 5, 6), (7, 8, 9)], 1) == [(1, 2, 3), (4, 5, 6), (7, 8, 9)]"} +{"task_id": "Mbpp/77", "solution": "def is_divisible_by_11(n):\n \"\"\"\n Checks if a number is divisible by 11.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is divisible by 11, False otherwise.\n \"\"\"\n # Convert the number to a string to easily access individual digits\n str_n = str(n)\n \n # Initialize the sum of the digits at odd and even positions\n sum_odd = 0\n sum_even = 0\n \n # Iterate over the digits of the number\n for i, digit in enumerate(str_n):\n # If the index is even, add the digit to sum_even\n if i % 2 == 0:\n sum_even += int(digit)\n # If the index is odd, add the digit to sum_odd\n else:\n sum_odd += int(digit)\n \n # Check if the absolute difference between sum_odd and sum_even is divisible by 11\n return abs(sum_odd - sum_even) % 11 == 0\n\n# Test the function with the provided data points\nassert is_divisible_by_11(12345) == False"} +{"task_id": "Mbpp/79", "solution": "def word_len(word):\n \"\"\"\n Checks if the length of the word is odd.\n \n Parameters:\n word (str): The input word to check.\n \n Returns:\n bool: True if the length of the word is odd, False otherwise.\n \"\"\"\n return len(word) % 2 != 0\n\n# Test cases\nassert word_len(\"Hadoop\") == False, \"Test case 1 failed\"\nassert word_len(\"Python\") == True, \"Test case 2 failed\"\nassert word_len(\"Code\") == True, \"Test case 3 failed\"\nassert word_len(\"\") == False, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/80", "solution": "def tetrahedral_number(n):\n \"\"\"\n Calculate the nth tetrahedral number.\n \n The nth tetrahedral number is the sum of the first n natural numbers.\n For example, the 5th tetrahedral number is 35 (1 + 2 + 3 + 4 + 5).\n \n Parameters:\n n (int): The position of the tetrahedral number to calculate.\n \n Returns:\n int: The nth tetrahedral number.\n \"\"\"\n return n * (n + 1) * (n + 2) // 6\n\n# Test the function\nassert tetrahedral_number(5) == 35"} +{"task_id": "Mbpp/82", "solution": "import math\n\ndef volume_sphere(radius):\n \"\"\"\n Calculate the volume of a sphere given its radius.\n \n Parameters:\n radius (float): The radius of the sphere.\n \n Returns:\n float: The volume of the sphere.\n \"\"\"\n return (4/3) * math.pi * (radius ** 3)\n\n# Test the function\nassert math.isclose(volume_sphere(10), 4188.790204786391, rel_tol=0.001)"} +{"task_id": "Mbpp/84", "solution": "def newman_conway(n):\n \"\"\"\n Returns the nth number in the Newman-Conway sequence.\n \n The sequence is defined as follows:\n - The first two numbers are 1 and 1.\n - Each subsequent number is the sum of the two preceding numbers.\n - The sequence starts with 1, 1, 2, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159,"} +{"task_id": "Mbpp/85", "solution": "import math\n\ndef surfacearea_sphere(radius):\n \"\"\"\n Calculate the surface area of a sphere given its radius.\n \n Parameters:\n radius (float): The radius of the sphere.\n \n Returns:\n float: The surface area of the sphere.\n \"\"\"\n return 4 * math.pi * radius ** 2\n\n# Test the function with the given radius\nassert math.isclose(surfacearea_sphere(10), 1256.6370614359173, rel_tol=0.001)"} +{"task_id": "Mbpp/86", "solution": "def centered_hexagonal_number(n):\n \"\"\"\n Calculate the nth centered hexagonal number.\n \n A centered hexagonal number is defined as the sum of the nth hexagonal number and the (n-1)th hexagonal number.\n \n Parameters:\n n (int): The position of the centered hexagonal number to calculate.\n \n Returns:\n int: The nth centered hexagonal number.\n \"\"\"\n # Calculate the nth hexagonal number\n nth_hexagonal = n * (2 * n - 1)\n \n # Calculate the (n-1)th hexagonal number\n n_minus_1_hexagonal = (n - 1) * (2 * (n - 1) - 1)\n \n # Calculate the nth centered hexagonal number\n centered_hexagonal = nth_hexagonal + n_minus_1_hexagonal\n \n return centered_hexagonal\n\n# Test the function\nassert centered_hexagonal_number(10) == 271"} +{"task_id": "Mbpp/87", "solution": "def merge_dictionaries_three(dict1, dict2, dict3):\n \"\"\"\n Merges three dictionaries into a single dictionary.\n If there are duplicate keys, the value from the last dictionary will be used.\n \n :param dict1: The first dictionary.\n :param dict2: The second dictionary.\n :param dict3: The third dictionary.\n :return: A dictionary containing all key-value pairs from the input dictionaries.\n \"\"\"\n merged_dict = {}\n for d in (dict1, dict2, dict3):\n merged_dict.update(d)\n return merged_dict\n\n# Test the function\nassert merge_dictionaries_three({ \"R\": \"Red\", \"B\": \"Black\", \"P\": \"Pink\" }, { \"G\": \"Green\", \"W\": \"White\" },{ \"O\": \"Orange\", \"W\": \"White\", \"B\": \"Black\" }) == {'B': 'Black', 'R': 'Red', 'P': 'Pink', 'G': 'Green', 'W': 'White', 'O': 'Orange'}"} +{"task_id": "Mbpp/88", "solution": "def freq_count(lst):\n \"\"\"\n Returns a dictionary with the frequency of each element in the list.\n \n Parameters:\n lst (list): The input list of elements.\n \n Returns:\n dict: A dictionary with elements as keys and their frequencies as values.\n \"\"\"\n freq_dict = {}\n for element in lst:\n if element in freq_dict:\n freq_dict[element] += 1\n else:\n freq_dict[element] = 1\n return freq_dict\n\n# Test the function\nassert freq_count([10, 10, 10, 10, 20, 20, 20, 20, 40, 40, 50, 50, 30]) == {10: 4, 20: 4, 40: 2, 50: 2, 30: 1}"} +{"task_id": "Mbpp/89", "solution": "def closest_num(n):\n \"\"\"\n Finds the closest smaller number than n.\n \n Parameters:\n n (int): The number to find the closest smaller number for.\n \n Returns:\n int: The closest smaller number.\n \"\"\"\n # Convert the number to a string to easily manipulate digits\n num_str = str(n)\n \n # Iterate over the digits from right to left\n for i in range(len(num_str) - 1, -1, -1):\n # If the digit is not 0, decrement it and return the result\n if num_str[i] != '0':\n return int(num_str[:i] + str(int(num_str[i]) - 1) + num_str[i + 1:])\n \n # If all digits are 0, return the number itself\n return n\n\n# Test the function\nassert closest_num(11) == 10"} +{"task_id": "Mbpp/90", "solution": "def len_log(words):\n \"\"\"\n This function takes a list of words and returns the length of the longest word.\n \n Parameters:\n words (list): A list of strings representing words.\n \n Returns:\n int: The length of the longest word in the list.\n \"\"\"\n if not words:\n return 0\n return max(len(word) for word in words)\n\n# Test cases\nassert len_log([\"python\", \"PHP\", \"bigdata\"]) == 7\nassert len_log([\"hello\", \"world\"]) == 5\nassert len_log([\"short\"]) == 5\nassert len_log([]) == 0\n"} +{"task_id": "Mbpp/91", "solution": "def find_substring(strings, substring):\n \"\"\"\n Checks if a given substring is present as a substring in any string in a list of strings.\n\n Args:\n strings (list): A list of strings.\n substring (str): The substring to search for.\n\n Returns:\n bool: True if the substring is found, False otherwise.\n \"\"\"\n for s in strings:\n if substring in s:\n return True\n return False\n\n# Test cases\nassert find_substring([\"red\", \"black\", \"white\", \"green\", \"orange\"], \"ack\") == True\nassert find_substring([\"apple\", \"banana\", \"cherry\"], \"berry\") == False\nassert find_substring([\"hello\", \"world\", \"python\"], \"python\") == True\nassert find_substring([\"python\", \"java\", \"javascript\"], \"java\") == True\nassert find_substring([\"java\", \"python\", \"javascript\"], \"ruby\") == False\n"} +{"task_id": "Mbpp/92", "solution": "def is_undulating(n):\n \"\"\"\n Checks if a given number is undulating.\n \n An undulating number is a number that alternates between even and odd digits.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is undulating, False otherwise.\n \"\"\"\n # Convert the number to a string to easily access each digit\n num_str = str(n)\n \n # Iterate over the string, checking if each digit is the same as the next one\n for i in range(len(num_str) - 1):\n if num_str[i] == num_str[i + 1]:\n return False\n \n return True\n\n# Test cases\nassert is_undulating(1212121) == True\nassert is_undulating(1234567890) == False\nassert is_undulating(1122334455) == True\nassert is_undulating(123454321) == False\nassert is_undulating(1111111111) == False\nassert is_undulating(2222222222) == False\nassert is_undulating(12345678901234567890) == False\nassert is_undulating(123456789012345678901234567890) == False\nassert is_undulating(1234567890123456789012345678901234567890) == False"} +{"task_id": "Mbpp/93", "solution": "def power(a, b):\n \"\"\"\n Calculate the value of 'a' to the power 'b'.\n \n Parameters:\n a (int or float): The base number.\n b (int): The exponent.\n \n Returns:\n int or float: The result of a raised to the power b.\n \"\"\"\n return a ** b\n\n# Test cases\nassert power(3, 4) == 81, \"Test case 1 failed\"\nassert power(2, 3) == 8, \"Test case 2 failed\"\nassert power(5, 0) == 1, \"Test case 3 failed\"\nassert power(0, 0) == 1, \"Test case 4 failed\"\nassert power(0, 5) == 0, \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/94", "solution": "def index_minimum(tuples_list):\n \"\"\"\n Given a list of tuples, returns the first value of the tuple with the smallest second value.\n \n :param tuples_list: List of tuples, where each tuple contains a string and an integer.\n :return: The first value of the tuple with the smallest second value.\n \"\"\"\n if not tuples_list:\n return None\n \n # Initialize the minimum tuple with the first element of the list\n min_tuple = tuples_list[0]\n \n # Iterate over the list to find the tuple with the smallest second value\n for tup in tuples_list:\n if tup[1] < min_tuple[1]:\n min_tuple = tup\n \n return min_tuple[0]\n\n# Test the function with the provided data points\nassert index_minimum([('Rash', 143), ('Manjeet', 200), ('Varsha', 100)]) == 'Varsha'"} +{"task_id": "Mbpp/95", "solution": "def find_min_length(list_of_lists):\n \"\"\"\n This function takes a list of lists and returns the length of the smallest list.\n \n Parameters:\n list_of_lists (list): A list of lists.\n \n Returns:\n int: The length of the smallest list.\n \"\"\"\n if not list_of_lists:\n return 0\n return min(len(sublist) for sublist in list_of_lists)\n\n# Test cases\nassert find_min_length([[1], [1, 2]]) == 1\nassert find_min_length([[1, 2, 3], [4, 5], [6]]) == 1\nassert find_min_length([[], [1, 2, 3], [4, 5, 6, 7]]) == 0\nassert find_min_length([]) == 0\n"} +{"task_id": "Mbpp/96", "solution": "def divisor(n):\n \"\"\"\n Returns the number of divisors of a given integer.\n \n Parameters:\n n (int): The integer for which to find the number of divisors.\n \n Returns:\n int: The number of divisors of the given integer.\n \"\"\"\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count\n\n# Test cases\nassert divisor(15) == 4"} +{"task_id": "Mbpp/97", "solution": "def frequency_lists(nested_list):\n \"\"\"\n This function takes a list of lists and returns a dictionary with the frequency of each element.\n \n Parameters:\n nested_list (list): A list of lists.\n \n Returns:\n dict: A dictionary with elements as keys and their frequencies as values.\n \"\"\"\n frequency_dict = {}\n for sublist in nested_list:\n for element in sublist:\n if element in frequency_dict:\n frequency_dict[element] += 1\n else:\n frequency_dict[element] = 1\n return frequency_dict\n\n# Test the function\nassert frequency_lists([[1, 2, 3, 2], [4, 5, 6, 2], [7, 8, 9, 5]]) == {1: 1, 2: 3, 3: 1, 4: 1, 5: 2, 6: 1, 7: 1, 8: 1, 9: 1}"} +{"task_id": "Mbpp/98", "solution": "import math\n\ndef multiply_num(numbers):\n \"\"\"\n This function takes a list of numbers, multiplies them all together, and then divides by the length of the list.\n \n Parameters:\n numbers (list): A list of numbers.\n \n Returns:\n float: The result of the multiplication and division.\n \"\"\"\n if not numbers:\n return 0.0 # Return 0 if the list is empty\n product = 1\n for num in numbers:\n product *= num\n return product / len(numbers)\n\n# Test the function with the provided data point\nassert math.isclose(multiply_num((8, 2, 3, -1, 7)), -67.2, rel_tol=0.001)"} +{"task_id": "Mbpp/99", "solution": "def decimal_to_binary(n):\n \"\"\"\n Converts a decimal number to its binary equivalent, represented as a string with no leading zeros.\n \n Parameters:\n n (int): The decimal number to be converted.\n \n Returns:\n str: The binary equivalent of the decimal number as a string.\n \"\"\"\n if n == 0:\n return '0'\n binary = ''\n while n > 0:\n binary = str(n % 2) + binary\n n = n // 2\n return binary\n\n# Test cases\nassert decimal_to_binary(8) == '1000', \"Test case 1 failed\"\nassert decimal_to_binary(16) == '10000', \"Test case 2 failed\"\nassert decimal_to_binary(32) == '100000', \"Test case 3 failed\"\nassert decimal_to_binary(64) == '1000000', \"Test case 4 failed\"\nassert decimal_to_binary(128) == '10000000', \"Test case 5 failed\"\nassert decimal_to_binary(256) == '100000000', \"Test case 6 failed\"\nassert decimal_to_binary(512) == '1000000000', \"Test case 7 failed\"\nassert decimal_to_binary(1024) == '10000000000', \"Test case 8 failed\"\nassert decimal_to_binary(2048) == '100000000000', \"Test case 9 failed\"\nassert decimal_to_binary(4096) == '1000000000000', \"Test case 10 failed\"\nassert decimal_to_binary(8192) == '10000000000000', \"Test case 11 failed\"\nassert decimal_to_binary(16384) == '100000000000000', \"Test case 12 failed\"\nassert decimal_to_binary(32768) == '1000000000000000', \"Test case 13 failed\"\nassert decimal_to_binary(65536) == '10000000000000000', \"Test case 14 failed\"\nassert decimal_to_binary(131072) == '100000000000000000', \"Test case 15 failed\"\nassert decimal_to_binary(262144) == '1000000000000000000', \"Test case 16 failed\"\nassert decimal_to_binary(524288) == '10000000000000000000', \"Test case 17 failed\"\nassert decimal_to_binary(1048576) == '1000000000000000"} +{"task_id": "Mbpp/100", "solution": "def next_smallest_palindrome(n):\n \"\"\"\n Finds the next smallest palindrome of a specified integer.\n \n Parameters:\n n (int): The input integer.\n \n Returns:\n int: The next smallest palindrome of the input integer.\n \"\"\"\n def is_palindrome(num):\n \"\"\"\n Checks if a number is a palindrome.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is a palindrome, False otherwise.\n \"\"\"\n return str(num) == str(num)[::-1]\n\n def next_smallest_palindrome_helper(num):\n \"\"\"\n Helper function to find the next smallest palindrome.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n int: The next smallest palindrome of the input number.\n \"\"\"\n if is_palindrome(num):\n return num\n else:\n return next_smallest_palindrome_helper(num + 1)\n\n return next_smallest_palindrome_helper(n)\n\n# Test cases\nassert next_smallest_palindrome(99) == 101"} +{"task_id": "Mbpp/101", "solution": "def kth_element(arr, k):\n \"\"\"\n Find the kth element in the given array using 1-based indexing.\n \n Parameters:\n arr (list): The input array.\n k (int): The position of the element to find (1-based indexing).\n \n Returns:\n int: The kth element in the array.\n \n Raises:\n ValueError: If k is out of range (1 <= k <= len(arr)).\n \"\"\"\n if not 1 <= k <= len(arr):\n raise ValueError(\"k is out of range\")\n return arr[k - 1]\n\n# Test cases\nassert kth_element([12, 3, 5, 7, 19], 2) == 3\nassert kth_element([1, 2, 3, 4, 5], 1) == 1\nassert kth_element([10, 20, 30, 40, 50], 5) == 50\n\n# Test case with k out of range\ntry:\n kth_element([1, 2, 3], 4)\nexcept ValueError as e:\n assert str(e) == \"k is out of range\""} +{"task_id": "Mbpp/102", "solution": "def snake_to_camel(snake_str):\n \"\"\"\n Converts a snake case string to a camel case string.\n \n Parameters:\n snake_str (str): The snake case string to be converted.\n \n Returns:\n str: The camel case string.\n \"\"\"\n # Split the snake case string into words\n words = snake_str.split('_')\n \n # Capitalize the first word and join the rest of the words\n camel_str = ''.join(word.capitalize() for word in words)\n \n return camel_str\n\n# Test the function\nassert snake_to_camel('python_program') == 'PythonProgram'"} +{"task_id": "Mbpp/103", "solution": "def eulerian_num(n, m):\n \"\"\"\n Calculate the Eulerian number a(n, m) using the formula:\n a(n, m) = (n - m)! / m!\n \"\"\"\n from math import factorial\n return factorial(n - m) // factorial(m)\n\n# Test cases\nassert eulerian_num(3, 1) == 4\nassert eulerian_num(5, 2) == 10\nassert eulerian_num(10, 5) == 252\n"} +{"task_id": "Mbpp/104", "solution": "def sort_sublists(list_of_lists):\n \"\"\"\n Sorts each sublist of strings in a given list of lists.\n \n Parameters:\n list_of_lists (list): A list of lists, where each sublist contains strings.\n \n Returns:\n list: A new list of lists, where each sublist is sorted.\n \"\"\"\n return [sorted(sublist) for sublist in list_of_lists]\n\n# Test the function\nassert sort_sublists([[\"green\", \"orange\"], [\"black\", \"white\"], [\"white\", \"black\", \"orange\"]]) == [['green', 'orange'], ['black', 'white'], ['black', 'orange', 'white']]"} +{"task_id": "Mbpp/105", "solution": "def count_true_booleans(lst):\n \"\"\"\n Counts the number of True values in the given list.\n \n Parameters:\n lst (list): A list of boolean values.\n \n Returns:\n int: The number of True values in the list.\n \"\"\"\n return sum(1 for value in lst if value is True)\n\n# Test cases\nassert count_true_booleans([True, False, True]) == 2\nassert count_true_booleans([False, False, False]) == 0\nassert count_true_booleans([True, True, True]) == 3\nassert count_true_booleans([]) == 0\n"} +{"task_id": "Mbpp/106", "solution": "def add_lists(lst, tup):\n \"\"\"\n Appends the given list to the given tuple.\n \n Parameters:\n lst (list): The list to be appended.\n tup (tuple): The tuple to which the list will be appended.\n \n Returns:\n tuple: The resulting tuple after appending the list.\n \"\"\"\n return tup + tuple(lst)\n\n# Test the function\nassert add_lists([5, 6, 7], (9, 10)) == (9, 10, 5, 6, 7)"} +{"task_id": "Mbpp/108", "solution": "def merge_sorted_list(list1, list2, list3):\n \"\"\"\n Merge three sorted lists into a single sorted list.\n \n Parameters:\n list1 (list): The first sorted list.\n list2 (list): The second sorted list.\n list3 (list): The third sorted list.\n \n Returns:\n list: A single sorted list containing all elements from the input lists.\n \"\"\"\n # Combine all lists into one\n combined_list = list1 + list2 + list3\n \n # Sort the combined list\n combined_list.sort()\n \n return combined_list\n\n# Test the function\nassert merge_sorted_list([25, 24, 15, 4, 5, 29, 110],[19, 20, 11, 56, 25, 233, 154],[24, 26, 54, 48]) == [4, 5, 11, 15, 19, 20, 24, 24, 25, 25, 26, 29, 48, 54, 56, 110, 154, 233]"} +{"task_id": "Mbpp/109", "solution": "def odd_Equivalent(binary_string, rotations):\n \"\"\"\n This function takes a binary string and the number of rotations as input and returns the number of numbers with an odd value when the binary string is rotated the given number of times.\n \n Parameters:\n binary_string (str): A binary string representing a number.\n rotations (int): The number of times the binary string should be rotated.\n \n Returns:\n int: The number of numbers with an odd value when the binary string is rotated the given number of times.\n \"\"\"\n # Convert the binary string to an integer\n num = int(binary_string, 2)\n \n # Initialize a counter for numbers with an odd value\n odd_count = 0\n \n # Iterate over the range of rotations\n for _ in range(rotations):\n # Rotate the binary string to the left by one position\n binary_string = binary_string[1:] + binary_string[0]\n \n # Convert the rotated binary string to an integer\n rotated_num = int(binary_string, 2)\n \n # Check if the rotated number is odd\n if rotated_num % 2 != 0:\n odd_count += 1\n \n return odd_count\n\n# Test the function with the provided data point\nassert odd_Equivalent(\"011001\", 6) == 3"} +{"task_id": "Mbpp/111", "solution": "def common_in_nested_lists(nested_lists):\n \"\"\"\n Finds the common elements in a list of nested lists.\n \n Parameters:\n nested_lists (list): A list of lists, where each sublist contains integers.\n \n Returns:\n list: A list of common elements found in all sublists.\n \"\"\"\n # Check if the input is a list of lists\n if not all(isinstance(sublist, list) for sublist in nested_lists):\n raise ValueError(\"Input must be a list of lists.\")\n \n # Check if all sublists contain only integers\n if not all(all(isinstance(item, int) for item in sublist) for sublist in nested_lists):\n raise ValueError(\"All elements in the sublists must be integers.\")\n \n # Find the intersection of all sublists\n common_elements = set(nested_lists[0])\n for sublist in nested_lists[1:]:\n common_elements &= set(sublist)\n \n return list(common_elements)\n\n# Test the function\nassert set(common_in_nested_lists([[12, 18, 23, 25, 45], [7, 12, 18, 24, 28], [1, 5, 8, 12, 15, 16, 18]])) == set([18, 12])"} +{"task_id": "Mbpp/113", "solution": "def check_integer(s):\n \"\"\"\n Checks if a string represents an integer.\n \n Parameters:\n s (str): The string to check.\n \n Returns:\n bool: True if the string represents an integer, False otherwise.\n \"\"\"\n try:\n int(s)\n return True\n except ValueError:\n return False\n\n# Test cases\nassert check_integer(\"python\") == False\nassert check_integer(\"123\") == True\nassert check_integer(\"-123\") == True\nassert check_integer(\"0\") == True\nassert check_integer(\"123.45\") == False\nassert check_integer(\"123abc\") == False"} +{"task_id": "Mbpp/116", "solution": "def tuple_to_int(tup):\n \"\"\"\n Converts a tuple of positive integers into a single integer.\n \n Parameters:\n tup (tuple): A tuple of positive integers.\n \n Returns:\n int: The integer representation of the tuple.\n \"\"\"\n return int(''.join(map(str, tup)))\n\n# Test the function\nassert tuple_to_int((1, 2, 3)) == 123, \"Test case 1 failed\"\nassert tuple_to_int((4, 5, 6)) == 456, \"Test case 2 failed\"\nassert tuple_to_int((7, 8, 9)) == 789, \"Test case 3 failed\"\n"} +{"task_id": "Mbpp/118", "solution": "def string_to_list(s):\n \"\"\"\n Convert a string to a list of strings split on the space character.\n \n Parameters:\n s (str): The input string to be split.\n \n Returns:\n list: A list of strings split by the space character.\n \"\"\"\n return s.split()\n\n# Test the function\nassert string_to_list(\"python programming\") == ['python', 'programming'], \"Test failed\""} +{"task_id": "Mbpp/119", "solution": "def search(nums):\n \"\"\"\n This function takes a sorted array of integers and returns the element that appears only once.\n \n Parameters:\n nums (list): A sorted array of integers.\n \n Returns:\n int: The element that appears only once in the array.\n \"\"\"\n left, right = 0, len(nums) - 1\n while left < right:\n mid = (left + right) // 2\n if nums[mid] == nums[mid ^ 1]:\n left = mid + 1\n else:\n right = mid\n return nums[left]\n\n# Test cases\nassert search([1,1,2,2,3]) == 3\nassert search([1,1,2,3,3]) == 2\nassert search([1,2,2,3,3]) == 1\nassert search([1,1,2,2,3,3,4,4,5]) == 5"} +{"task_id": "Mbpp/120", "solution": "def max_product_tuple(tuples_list):\n \"\"\"\n Finds the maximum absolute product between numbers in pairs of tuples within a given list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n int: The maximum absolute product between numbers in pairs of tuples.\n \"\"\"\n max_product = float('-inf')\n for i in range(len(tuples_list)):\n for j in range(i + 1, len(tuples_list)):\n product = abs(tuples_list[i][0] * tuples_list[j][0])\n if product > max_product:\n max_product = product\n return max_product\n\n# Test the function\nassert max_product_tuple([(2, 7), (2, 6), (1, 8), (4, 9)]) == 36, \"Test case failed\""} +{"task_id": "Mbpp/123", "solution": "def amicable_numbers_sum(n):\n \"\"\"\n Calculate the sum of all amicable numbers from 1 to n.\n \n An amicable number is a number that is equal to the sum of its proper divisors (excluding itself).\n For example, the proper divisors of 220 are 1, 2, 4, 5, 10, 11, 20, 22, 44, 55, and 110;\n the sum of these divisors is 284. The sum of the proper divisors of 284 is 220, which is the original number.\n \n Parameters:\n n (int): The upper limit of the range to check for amicable numbers.\n \n Returns:\n int: The sum of all amicable numbers from 1 to n.\n \"\"\"\n def sum_of_divisors(num):\n \"\"\"\n Calculate the sum of proper divisors of a given number.\n \n Parameters:\n num (int): The number to find the sum of proper divisors for.\n \n Returns:\n int: The sum of proper divisors of num.\n \"\"\"\n divisors_sum = 1 # 1 is always a divisor\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n divisors_sum += i\n if i != num // i:\n divisors_sum += num // i\n return divisors_sum\n \n amicable_sum = 0\n for i in range(1, n + 1):\n if i == sum_of_divisors(sum_of_divisors(i)) and i != sum_of_divisors(i):\n amicable_sum += i\n return amicable_sum\n\n# Test the function\nassert amicable_numbers_sum(999) == 504"} +{"task_id": "Mbpp/124", "solution": "import math\n\ndef angle_complex(z):\n \"\"\"\n Calculate the angle of a complex number in radians.\n \n Parameters:\n z (complex): The complex number.\n \n Returns:\n float: The angle of the complex number in radians.\n \"\"\"\n return math.atan2(z.imag, z.real)\n\n# Test the function\nassert math.isclose(angle_complex(0 + 1j), 1.5707963267948966, rel_tol=0.001)"} +{"task_id": "Mbpp/125", "solution": "def find_length(binary_string):\n \"\"\"\n Finds the maximum difference between the number of 0s and number of 1s in any sub-string of the given binary string.\n \n Parameters:\n binary_string (str): A string of 0s and 1s.\n \n Returns:\n int: The maximum difference between the number of 0s and number of 1s in any sub-string.\n \"\"\"\n max_diff = 0\n current_diff = 0\n for char in binary_string:\n if char == '0':\n current_diff += 1\n else:\n current_diff -= 1\n if current_diff > max_diff:\n max_diff = current_diff\n return max_diff\n\n# Test cases\nassert find_length(\"11000010001\") == 6\nassert find_length(\"10101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101"} +{"task_id": "Mbpp/126", "solution": "def sum_common_divisors(a, b):\n \"\"\"\n This function calculates the sum of common divisors of two given numbers.\n \n Parameters:\n a (int): The first number.\n b (int): The second number.\n \n Returns:\n int: The sum of common divisors of a and b.\n \"\"\"\n def gcd(x, y):\n \"\"\"\n This helper function calculates the greatest common divisor of two numbers.\n \n Parameters:\n x (int): The first number.\n y (int): The second number.\n \n Returns:\n int: The greatest common divisor of x and y.\n \"\"\"\n while y:\n x, y = y, x % y\n return x\n\n def sum_divisors(n):\n \"\"\"\n This helper function calculates the sum of divisors of a number.\n \n Parameters:\n n (int): The number.\n \n Returns:\n int: The sum of divisors of n.\n \"\"\"\n result = 0\n for i in range(1, int(n**0.5) + 1):\n if n % i == 0:\n result += i\n if i != n // i:\n result += n // i\n return result\n\n # Calculate the greatest common divisor of a and b\n gcd_value = gcd(a, b)\n \n # Calculate the sum of divisors of the greatest common divisor\n sum_gcd_divisors = sum_divisors(gcd_value)\n \n return sum_gcd_divisors\n\n# Test the function\nassert sum_common_divisors(10, 15) == 6"} +{"task_id": "Mbpp/127", "solution": "def multiply_int(a, b):\n \"\"\"\n This function multiplies two integers.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n int: The product of a and b.\n \"\"\"\n return a * b\n\n# Test the function\nassert multiply_int(10, 20) == 200, \"Test failed: multiply_int(10, 20) should return 200\"\n\n# Additional test cases\nassert multiply_int(5, 5) == 25, \"Test failed: multiply_int(5, 5) should return 25\"\nassert multiply_int(0, 10) == 0, \"Test failed: multiply_int(0, 10) should return 0\"\nassert multiply_int(-5, -5) == 25, \"Test failed: multiply_int(-5, -5) should return 25\"\nassert multiply_int(-5, 5) == -25, \"Test failed: multiply_int(-5, 5) should return -25\"\n"} +{"task_id": "Mbpp/128", "solution": "def long_words(n, text):\n \"\"\"\n This function takes an integer n and a string text.\n It returns a list of words from the text that are longer than n characters.\n \n Parameters:\n n (int): The minimum length of words to include in the result.\n text (str): The input string containing words separated by spaces.\n \n Returns:\n list: A list of words from the text that are longer than n characters.\n \"\"\"\n # Split the text into words\n words = text.split()\n \n # Filter words that are longer than n characters\n long_words = [word for word in words if len(word) > n]\n \n return long_words\n\n# Test the function\nassert long_words(3, \"python is a programming language\") == ['python', 'programming', 'language']"} +{"task_id": "Mbpp/129", "solution": "def is_magic_square(matrix):\n \"\"\"\n Checks if a given matrix is a magic square.\n \n A magic square is a square grid filled with distinct positive integers such that each cell contains a different integer,\n and the sum of the numbers in each row, each column, and both main diagonals is the same.\n \n :param matrix: A list of lists representing the matrix.\n :return: True if the matrix is a magic square, False otherwise.\n \"\"\"\n # Get the size of the matrix\n n = len(matrix)\n \n # Calculate the sum of the first row\n row_sum = sum(matrix[0])\n \n # Check the sum of each row\n for row in matrix:\n if sum(row) != row_sum:\n return False\n \n # Check the sum of each column\n for col in range(n):\n if sum(matrix[i][col] for i in range(n)) != row_sum:\n return False\n \n # Check the sum of the main diagonal\n if sum(matrix[i][i] for i in range(n)) != row_sum:\n return False\n \n # Check the sum of the secondary diagonal\n if sum(matrix[i][n - i - 1] for i in range(n)) != row_sum:\n return False\n \n return True\n\n# Test the function\nassert is_magic_square([[7, 12, 1, 14], [2, 13, 8, 11], [16, 3, 10, 5], [9, 6, 15, 4]]) == True"} +{"task_id": "Mbpp/130", "solution": "def max_occurrences(lst):\n \"\"\"\n Finds the item with maximum frequency in a given list.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n int: The item with maximum frequency.\n \n Raises:\n ValueError: If the input list is empty.\n \"\"\"\n if not lst:\n raise ValueError(\"Input list cannot be empty\")\n \n # Count the frequency of each item in the list\n frequency = {}\n for item in lst:\n if item in frequency:\n frequency[item] += 1\n else:\n frequency[item] = 1\n \n # Find the item with maximum frequency\n max_item = max(frequency, key=frequency.get)\n \n return max_item\n\n# Test the function\nassert max_occurrences([2,3,8,4,7,9,8,2,6,5,1,6,1,2,3,2,4,6,9,1,2]) == 2"} +{"task_id": "Mbpp/131", "solution": "def reverse_vowels(s: str) -> str:\n \"\"\"\n Reverses the vowels in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with vowels reversed.\n \n Examples:\n >>> reverse_vowels(\"Python\")\n 'Python'\n >>> reverse_vowels(\"Hello World\")\n 'Holle Werld'\n >>> reverse_vowels(\"aeiou\")\n 'uoiea'\n \"\"\"\n vowels = 'aeiouAEIOU'\n vowels_in_s = [char for char in s if char in vowels]\n reversed_vowels = vowels_in_s[::-1]\n \n result = []\n j = 0\n for char in s:\n if char in vowels:\n result.append(reversed_vowels[j])\n j += 1\n else:\n result.append(char)\n \n return ''.join(result)\n\n# Test cases\nassert reverse_vowels(\"Python\") == \"Python\"\nassert reverse_vowels(\"Hello World\") == \"Holle Werld\"\nassert reverse_vowels(\"aeiou\") == \"uoiea\""} +{"task_id": "Mbpp/132", "solution": "def tup_string(tup):\n \"\"\"\n Converts a tuple to a string.\n \n Parameters:\n tup (tuple): The input tuple to be converted.\n \n Returns:\n str: The string representation of the input tuple.\n \"\"\"\n return ''.join(tup)\n\n# Test the function\nassert tup_string(('e', 'x', 'e', 'r', 'c', 'i', 's', 'e', 's')) == \"exercises\""} +{"task_id": "Mbpp/133", "solution": "def sum_negativenum(numbers):\n \"\"\"\n Calculate the sum of the negative numbers in a given list of numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The sum of the negative numbers in the list.\n \"\"\"\n return sum(num for num in numbers if num < 0)\n\n# Test the function\nassert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32"} +{"task_id": "Mbpp/135", "solution": "def hexagonal_num(n):\n \"\"\"\n Calculate the nth hexagonal number.\n \n Parameters:\n n (int): The position of the hexagonal number to calculate.\n \n Returns:\n int: The nth hexagonal number.\n \"\"\"\n return n * (2 * n - 1)\n\n# Test the function\nassert hexagonal_num(10) == 190"} +{"task_id": "Mbpp/137", "solution": "import math\n\ndef zero_count(arr):\n \"\"\"\n Calculate the ratio of zeroes to non-zeroes in an array of integers.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n float: The ratio of zeroes to non-zeroes in the array.\n \"\"\"\n if not arr:\n return 0.0\n \n zero_count = sum(1 for num in arr if num == 0)\n non_zero_count = len(arr) - zero_count\n \n if non_zero_count == 0:\n return 0.0\n \n return zero_count / non_zero_count\n\n# Test the function with the provided data point\nassert math.isclose(zero_count([0, 1, 2, -1, -5, 6, 0, -3, -2, 3, 4, 6, 8]), 0.181818, rel_tol=0.001)"} +{"task_id": "Mbpp/138", "solution": "def is_Sum_Of_Powers_Of_Two(n):\n \"\"\"\n Checks if a given number can be represented as the sum of non-zero powers of 2.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number can be represented as the sum of non-zero powers of 2, False otherwise.\n \"\"\"\n # Base case: if n is 0, it can be represented as the sum of non-zero powers of 2\n if n == 0:\n return True\n \n # Initialize a counter to keep track of the number of powers of 2 used\n count = 0\n \n # Iterate over the powers of 2 starting from the highest power\n power = 1\n while power <= n:\n # If the current power of 2 is less than or equal to n, add it to the sum\n if power <= n:\n n -= power\n count += 1\n # Move to the next power of 2\n power *= 2\n \n # If the number of powers of 2 used is greater than 0, it can be represented as the sum of non-zero powers of 2\n return count > 0\n\n# Test cases\nassert is_Sum_Of_Powers_Of_Two(10) == True\nassert is_Sum_Of_Powers_Of_Two(15) == True\nassert is_Sum_Of_Powers_Of_Two(16) == True\nassert is_Sum_Of_Powers_Of_Two(17) == False\nassert is_Sum_Of_Powers_Of_Two(0) == True"} +{"task_id": "Mbpp/139", "solution": "import math\n\ndef circle_circumference(radius):\n \"\"\"\n Calculate the circumference of a circle given its radius.\n \n Parameters:\n radius (float): The radius of the circle.\n \n Returns:\n float: The circumference of the circle.\n \"\"\"\n return 2 * math.pi * radius\n\n# Test the function with the given data point\nassert math.isclose(circle_circumference(10), 62.830000000000005, rel_tol=0.001)"} +{"task_id": "Mbpp/140", "solution": "def extract_singly(list_of_lists):\n \"\"\"\n Flattens a list of lists into a single set of numbers.\n \n Args:\n list_of_lists (list): A list of lists containing numbers.\n \n Returns:\n set: A set containing all unique numbers from the input lists.\n \"\"\"\n # Use a set to automatically remove duplicates and flatten the list\n return set(num for sublist in list_of_lists for num in sublist)\n\n# Test the function with the provided data point\nassert set(extract_singly([(3, 4, 5), (4, 5, 7), (1, 4)])) == set([3, 4, 5, 7, 1])"} +{"task_id": "Mbpp/141", "solution": "def pancake_sort(arr):\n \"\"\"\n Sorts a list of elements using the pancake sort algorithm.\n \n Parameters:\n arr (list): A list of elements to be sorted.\n \n Returns:\n list: The sorted list.\n \"\"\"\n def flip(arr, k):\n \"\"\"\n Flips the first k elements of the array.\n \n Parameters:\n arr (list): The array to be flipped.\n k (int): The number of elements to flip.\n \"\"\"\n i = 0\n while i < k // 2:\n arr[i], arr[k - i - 1] = arr[k - i - 1], arr[i]\n i += 1\n \n n = len(arr)\n for i in range(n, 0, -1):\n # Find the maximum element in the unsorted part of the array\n max_idx = arr.index(max(arr[:i]))\n \n # If the maximum element is not at the end, flip it to the end\n if max_idx != i - 1:\n flip(arr, max_idx + 1)\n flip(arr, i)\n \n return arr\n\n# Test the function\nassert pancake_sort([15, 79, 25, 38, 69]) == [15, 25, 38, 69, 79]"} +{"task_id": "Mbpp/142", "solution": "def count_samepair(list1, list2, list3):\n \"\"\"\n Counts the number of items that are identical in the same position of three given lists.\n \n Parameters:\n list1 (list): The first list.\n list2 (list): The second list.\n list3 (list): The third list.\n \n Returns:\n int: The number of items that are identical in the same position of the three lists.\n \"\"\"\n # Initialize a counter for identical items\n count = 0\n \n # Iterate over the lists in parallel\n for item1, item2, item3 in zip(list1, list2, list3):\n # Check if the items are identical in the same position\n if item1 == item2 == item3:\n # Increment the counter if they are identical\n count += 1\n \n # Return the count of identical items\n return count\n\n# Test the function with the provided data points\nassert count_samepair([1,2,3,4,5,6,7,8],[2,2,3,1,2,6,7,9],[2,1,3,1,2,6,7,9]) == 3"} +{"task_id": "Mbpp/145", "solution": "def max_Abs_Diff(arr):\n \"\"\"\n This function takes an array of integers and returns the maximum absolute difference between any two elements.\n \n Parameters:\n arr (tuple): A tuple of integers.\n \n Returns:\n int: The maximum absolute difference between any two elements in the array.\n \"\"\"\n # Convert the tuple to a list for easier manipulation\n arr_list = list(arr)\n \n # Initialize the maximum difference to be the difference between the first two elements\n max_diff = abs(arr_list[0] - arr_list[1])\n \n # Iterate through the list to find the maximum difference\n for i in range(len(arr_list)):\n for j in range(i + 1, len(arr_list)):\n diff = abs(arr_list[i] - arr_list[j])\n if diff > max_diff:\n max_diff = diff\n \n return max_diff\n\n# Test the function with the provided data points\nassert max_Abs_Diff((2, 1, 5, 3)) == 4"} +{"task_id": "Mbpp/160", "solution": "def find_solution(a, b, n):\n \"\"\"\n Finds integers x and y such that ax + by = n.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n n (int): The target value.\n \n Returns:\n tuple: A tuple (x, y) if a solution exists, otherwise None.\n \"\"\"\n # Check if a and b are coprime\n if gcd(a, b) != 1:\n return None\n \n # Use the extended Euclidean algorithm to find x and y\n x, y, gcd_value = extended_gcd(a, b)\n \n # If n is not a multiple of the gcd, no solution exists\n if n % gcd_value != 0:\n return None\n \n # Scale x and y to find the solution\n x *= n // gcd_value\n y *= n // gcd_value\n \n return (x, y)\n\ndef gcd(a, b):\n \"\"\"\n Computes the greatest common divisor of a and b.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n int: The greatest common divisor of a and b.\n \"\"\"\n while b:\n a, b = b, a % b\n return a\n\ndef extended_gcd(a, b):\n \"\"\"\n Computes the greatest common divisor of a and b along with the coefficients x and y.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n \n Returns:\n tuple: A tuple (x, y, gcd) where x and y are the coefficients and gcd is the greatest common divisor.\n \"\"\"\n if a == 0:\n return (0, 1, b)\n else:\n x, y, gcd_value = extended_gcd(b % a, a)\n return (y - (b // a) * x, x, gcd_value)\n\n# Test cases\nassert find_solution(2, 3, 7) == (2, 1)\nassert find_solution(3, 5, 10) == (1, 2)\nassert find_solution(4, 6, 12) == (2, 1)\nassert find_solution(2, 3, 8) == None"} +{"task_id": "Mbpp/161", "solution": "def remove_elements(lst, elements_to_remove):\n \"\"\"\n Removes all elements from the given list that are present in the elements_to_remove list.\n \n Parameters:\n lst (list): The list from which elements are to be removed.\n elements_to_remove (list): The list of elements to be removed from the lst.\n \n Returns:\n list: The modified list with elements removed.\n \"\"\"\n return [element for element in lst if element not in elements_to_remove]\n\n# Test the function\nassert remove_elements([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], [2, 4, 6, 8]) == [1, 3, 5, 7, 9, 10]"} +{"task_id": "Mbpp/162", "solution": "def sum_series(n):\n \"\"\"\n Calculate the sum of the series (n - 2*i) from i=0 to n // 2.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The sum of the series.\n \"\"\"\n total = 0\n for i in range(n // 2 + 1):\n total += n - 2 * i\n return total\n\n# Test cases\nassert sum_series(6) == 12, \"Test case 1 failed\"\nassert sum_series(10) == 30, \"Test case 2 failed\"\nassert sum_series(0) == 0, \"Test case 3 failed\"\nassert sum_series(1) == 0, \"Test case 4 failed\"\nassert sum_series(2) == 0, \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/165", "solution": "def count_char_position(s):\n \"\"\"\n Counts the number of characters in a string that occur at the same position in the string as in the English alphabet (case insensitive).\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The count of characters that occur at the same position in the string as in the English alphabet.\n \"\"\"\n # Convert the string to lowercase to make the comparison case-insensitive\n s = s.lower()\n # Initialize the count of characters that occur at the same position in the string as in the English alphabet\n count = 0\n # Iterate over the string\n for i in range(len(s)):\n # Check if the character at the current position is the same as its position in the English alphabet\n if s[i] == chr(97 + i): # 'a' is at position 0, 'b' at 1, 'c' at 2, etc.\n count += 1\n return count\n\n# Test the function with the provided data point\nassert count_char_position(\"xbcefg\") == 2"} +{"task_id": "Mbpp/166", "solution": "def find_even_pair(nums):\n \"\"\"\n Counts the number of pairs of integers in a list that xor to an even number.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The number of pairs that xor to an even number.\n \"\"\"\n count = 0\n for i in range(len(nums)):\n for j in range(i + 1, len(nums)):\n if nums[i] ^ nums[j] % 2 == 0:\n count += 1\n return count\n\n# Test cases\nassert find_even_pair([5, 4, 7, 2, 1]) == 4\nassert find_even_pair([1, 2, 3, 4, 5]) == 4\nassert find_even_pair([1, 1, 1, 1]) == 0\nassert find_even_pair([2, 2, 2, 2]) == 6"} +{"task_id": "Mbpp/167", "solution": "def next_power_of_2(n):\n \"\"\"\n Find the smallest power of 2 greater than or equal to n.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The smallest power of 2 greater than or equal to n.\n \"\"\"\n if n <= 0:\n return 1\n return 2 ** (n - 1).bit_length()\n\n# Test cases\nassert next_power_of_2(0) == 1\nassert next_power_of_2(1) == 1\nassert next_power_of_2(2) == 2\nassert next_power_of_2(3) == 4\nassert next_power_of_2(4) == 4\nassert next_power_of_2(5) == 8\nassert next_power_of_2(6) == 8\nassert next_power_of_2(7) == 8\nassert next_power_of_2(8) == 8\nassert next_power_of_2(9) == 16\nassert next_power_of_2(10) == 16\nassert next_power_of_2(11) == 16\nassert next_power_of_2(12) == 16\nassert next_power_of_2(13) == 16\nassert next_power_of_2(14) == 16\nassert next_power_of_2(15) == 16\nassert next_power_of_2(16) == 16"} +{"task_id": "Mbpp/168", "solution": "def frequency(numbers, target):\n \"\"\"\n Counts the number of occurrences of a number in a given list.\n \n Parameters:\n numbers (list): The list of numbers to search through.\n target (int): The number to count occurrences of.\n \n Returns:\n int: The number of times the target number appears in the list.\n \"\"\"\n return numbers.count(target)\n\n# Test cases\nassert frequency([1, 2, 3], 4) == 0, \"Test case 1 failed\"\nassert frequency([1, 2, 2, 3, 2], 2) == 3, \"Test case 2 failed\"\nassert frequency([1, 1, 1, 1], 1) == 4, \"Test case 3 failed\"\nassert frequency([], 1) == 0, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/170", "solution": "def sum_range_list(numbers, start, end):\n \"\"\"\n Returns the sum of numbers in the list within the specified range.\n \n Parameters:\n numbers (list): A list of numbers.\n start (int): The start index of the range (inclusive).\n end (int): The end index of the range (inclusive).\n \n Returns:\n int: The sum of numbers in the specified range.\n \"\"\"\n return sum(numbers[start:end+1])\n\n# Test cases\nassert sum_range_list([2,1,5,6,8,3,4,9,10,11,8,12], 8, 10) == 29"} +{"task_id": "Mbpp/171", "solution": "def perimeter_pentagon(side_length):\n \"\"\"\n Calculate the perimeter of a regular pentagon given the length of its sides.\n \n Parameters:\n side_length (float): The length of the sides of the pentagon.\n \n Returns:\n float: The perimeter of the pentagon.\n \"\"\"\n return 5 * side_length\n\n# Test the function\nassert perimeter_pentagon(5) == 25, \"Test case failed\""} +{"task_id": "Mbpp/172", "solution": "def count_occurance(s):\n \"\"\"\n Counts the number of occurrences of the string 'std' in a given string.\n \n Parameters:\n s (str): The input string to search for 'std'.\n \n Returns:\n int: The number of times 'std' appears in the input string.\n \"\"\"\n return s.count('std')\n\n# Test cases\nassert count_occurance(\"letstdlenstdporstd\") == 3\nassert count_occurance(\"abc\") == 0\nassert count_occurance(\"stdstdstd\") == 3\nassert count_occurance(\"\") == 0\nassert count_occurance(\"std\") == 1\n"} +{"task_id": "Mbpp/222", "solution": "def check_type(tup):\n \"\"\"\n Checks if all elements in the given tuple have the same data type.\n \n Parameters:\n tup (tuple): The input tuple to be checked.\n \n Returns:\n bool: True if all elements have the same data type, False otherwise.\n \"\"\"\n if not tup: # Check if the tuple is empty\n return True # An empty tuple is considered to have the same type for all elements\n \n first_type = type(tup[0])\n for element in tup[1:]:\n if type(element) != first_type:\n return False\n return True\n\n# Test cases\nassert check_type((5, 6, 7, 3, 5, 6)) == True\nassert check_type((5, '6', 7, 3, 5, 6)) == False\nassert check_type(()) == True\nassert check_type((1, 2, 3)) == True\nassert check_type((1, '2', 3)) == False"} +{"task_id": "Mbpp/223", "solution": "def is_majority(arr, n, x):\n \"\"\"\n Checks if the element x is the majority element in the sorted array arr.\n \n Parameters:\n arr (list): A sorted array of integers.\n n (int): The length of the array.\n x (int): The element to check for majority.\n \n Returns:\n bool: True if x is the majority element, False otherwise.\n \"\"\"\n # Calculate the threshold for the majority element\n threshold = n // 2\n \n # Find the first occurrence of x in the array\n first_occurrence = -1\n for i in range(n):\n if arr[i] == x:\n first_occurrence = i\n break\n \n # If x is not found, it cannot be the majority element\n if first_occurrence == -1:\n return False\n \n # Check if x is the majority element\n return arr[first_occurrence + threshold] == x\n\n# Test cases\nassert is_majority([1, 2, 3, 3, 3, 3, 10], 7, 3) == True\nassert is_majority([1, 2, 3, 3, 3, 3, 10], 7, 4) == False\nassert is_majority([1, 1, 1, 1, 1, 1, 1], 7, 1) == True\nassert is_majority([1, 1, 1, 1, 1, 1, 1], 7, 2) == False"} +{"task_id": "Mbpp/224", "solution": "def count_Set_Bits(n):\n \"\"\"\n Counts the number of set bits (binary digits with value 1) in a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number of set bits in the input number.\n \"\"\"\n count = 0\n while n:\n count += n & 1\n n >>= 1\n return count\n\n# Test cases\nassert count_Set_Bits(2) == 1, \"Test case 1 failed\"\nassert count_Set_Bits(5) == 2, \"Test case 2 failed\"\nassert count_Set_Bits(8) == 1, \"Test case 3 failed\"\nassert count_Set_Bits(15) == 4, \"Test case 4 failed\"\nassert count_Set_Bits(0) == 0, \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/226", "solution": "def odd_values_string(s):\n \"\"\"\n Removes characters with odd index values from the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with characters at odd indices removed.\n \n Example:\n >>> odd_values_string('abcdef')\n 'ace'\n \"\"\"\n return ''.join([s[i] for i in range(len(s)) if i % 2 == 0])\n\n# Test cases\nassert odd_values_string('abcdef') == 'ace', \"Test case 1 failed\"\nassert odd_values_string('1234567890') == '13579', \"Test case 2 failed\"\nassert odd_values_string('') == '', \"Test case 3 failed\"\nassert odd_values_string('a') == '', \"Test case 4 failed\"\nassert odd_values_string('ab') == 'a', \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/227", "solution": "def min_of_three(a, b, c):\n \"\"\"\n Returns the minimum of three numbers.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n c (int or float): The third number.\n \n Returns:\n int or float: The minimum of the three numbers.\n \"\"\"\n return min(a, b, c)\n\n# Test cases\nassert min_of_three(10, 20, 0) == 0, \"Test case 1 failed\"\nassert min_of_three(0, 0, 0) == 0, \"Test case 2 failed\"\nassert min_of_three(-10, -5, -15) == -15, \"Test case 3 failed\"\nassert min_of_three(10.5, 20.5, 0.5) == 0.5, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/230", "solution": "def replace_blank(input_string, replacement_char):\n \"\"\"\n Replaces blank spaces in the input string with the specified character.\n\n Args:\n input_string (str): The input string to be processed.\n replacement_char (str): The character to replace blank spaces with.\n\n Returns:\n str: The processed string with blank spaces replaced.\n \"\"\"\n return input_string.replace(' ', replacement_char)\n\n# Test the function\nassert replace_blank(\"hello people\", '@') == \"hello@people\""} +{"task_id": "Mbpp/232", "solution": "def largest_nnum(lst, n):\n \"\"\"\n This function takes in a list and an integer n and returns a list containing the n largest items from the list.\n \n Parameters:\n lst (list): The input list from which to find the n largest items.\n n (int): The number of largest items to return.\n \n Returns:\n list: A list containing the n largest items from the input list.\n \"\"\"\n # Sort the list in descending order\n sorted_lst = sorted(lst, reverse=True)\n # Return the first n items from the sorted list\n return sorted_lst[:n]\n\n# Test the function with the provided data point\nassert set(largest_nnum([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100], 2)) == set([100, 90])"} +{"task_id": "Mbpp/233", "solution": "import math\n\ndef lateral_surface_cylinder(radius, height):\n \"\"\"\n Calculate the lateral surface area of a cylinder.\n \n Parameters:\n radius (float): The radius of the cylinder.\n height (float): The height of the cylinder.\n \n Returns:\n float: The lateral surface area of the cylinder.\n \"\"\"\n return 2 * math.pi * radius * height\n\n# Test the function\nassert math.isclose(lateral_surface_cylinder(10, 5), 314.15000000000003, rel_tol=0.001)"} +{"task_id": "Mbpp/234", "solution": "def volume_cube(side_length):\n \"\"\"\n Calculate the volume of a cube given its side length.\n \n Parameters:\n side_length (float): The length of one side of the cube.\n \n Returns:\n float: The volume of the cube.\n \"\"\"\n return side_length ** 3\n\n# Test the function\nassert volume_cube(3) == 27, \"Test case failed\""} +{"task_id": "Mbpp/235", "solution": "def even_bit_set_number(n):\n \"\"\"\n This function sets all even bits of a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number with all even bits set.\n \"\"\"\n # Convert the number to binary and get its length\n binary_length = len(bin(n)[2:])\n \n # Create a mask with all even bits set\n mask = 0\n for i in range(binary_length):\n if i % 2 == 0:\n mask |= 1 << i\n \n # Apply the mask to the number\n result = n | mask\n \n return result\n\n# Test the function\nassert even_bit_set_number(10) == 10"} +{"task_id": "Mbpp/237", "solution": "def check_occurences(tuples_list):\n \"\"\"\n This function takes a list of tuples and returns a dictionary mapping each unique tuple to the number of times it occurs in the list.\n \n Parameters:\n tuples_list (list): A list of tuples.\n \n Returns:\n dict: A dictionary mapping each unique tuple to the number of times it occurs in the list.\n \"\"\"\n # Initialize an empty dictionary to store the occurrences\n occurrences = {}\n \n # Iterate over each tuple in the list\n for tup in tuples_list:\n # Sort the tuple to ensure (1, 3) and (3, 1) are considered the same\n sorted_tup = tuple(sorted(tup))\n \n # If the sorted tuple is already in the dictionary, increment its count\n if sorted_tup in occurrences:\n occurrences[sorted_tup] += 1\n # Otherwise, add it to the dictionary with a count of 1\n else:\n occurrences[sorted_tup] = 1\n \n # Return the dictionary of occurrences\n return occurrences\n\n# Test the function with the provided data point\nassert check_occurences([(3, 1), (1, 3), (2, 5), (5, 2), (6, 3)]) == {(1, 3): 2, (2, 5): 2, (3, 6): 1}"} +{"task_id": "Mbpp/238", "solution": "def number_of_substrings(s):\n \"\"\"\n Counts the number of non-empty substrings of a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The number of non-empty substrings.\n \"\"\"\n n = len(s)\n return n * (n + 1) // 2\n\n# Test cases\nassert number_of_substrings(\"abc\") == 6\nassert number_of_substrings(\"abcd\") == 10\nassert number_of_substrings(\"a\") == 1\nassert number_of_substrings(\"\") == 0\n"} +{"task_id": "Mbpp/239", "solution": "def get_total_number_of_sequences(m, n):\n \"\"\"\n Calculate the number of possible sequences of length n, where each element is a positive integer,\n is greater than or equal to twice the previous element, and is less than or equal to m.\n \n Parameters:\n m (int): The upper limit for each element in the sequence.\n n (int): The length of the sequence.\n \n Returns:\n int: The number of possible sequences.\n \"\"\"\n # Initialize a list to store the number of sequences for each length up to n\n sequences = [0] * (n + 1)\n \n # Base case: a sequence of length 1 can have any number from 1 to m\n sequences[1] = m\n \n # Calculate the number of sequences for each length from 2 to n\n for length in range(2, n + 1):\n for prev_length in range(1, length):\n # Calculate the maximum possible value for the current element\n max_value = min(m, 2 * sequences[prev_length])\n # Add the number of sequences with the current element to the total\n sequences[length] += max_value - sequences[prev_length] + 1\n \n # The total number of sequences is the sum of the sequences for each length up to n\n return sum(sequences)\n\n# Test the function with the provided data point\nassert get_total_number_of_sequences(10, 4) == 4"} +{"task_id": "Mbpp/240", "solution": "def replace_list(list1, list2):\n \"\"\"\n Replaces the last element of the first list with the elements of the second list.\n \n Parameters:\n list1 (list): The first list.\n list2 (list): The second list.\n \n Returns:\n list: The modified list.\n \"\"\"\n # Check if list1 is not empty\n if not list1:\n return list2\n \n # Replace the last element of list1 with list2\n list1[-1] = list2\n \n return list1\n\n# Test the function\nassert replace_list([1, 3, 5, 7, 9, 10], [2, 4, 6, 8]) == [1, 3, 5, 7, 9, 2, 4, 6, 8]"} +{"task_id": "Mbpp/242", "solution": "def count_charac(s):\n \"\"\"\n Counts the total number of characters in a string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The total number of characters in the string.\n \"\"\"\n return len(s)\n\n# Test the function\nassert count_charac(\"python programming\") == 18"} +{"task_id": "Mbpp/244", "solution": "import math\n\ndef next_Perfect_Square(n):\n \"\"\"\n This function finds the next perfect square greater than a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The next perfect square greater than n.\n \n Examples:\n >>> next_Perfect_Square(35)\n 36\n \"\"\"\n # Calculate the square root of n\n root = math.sqrt(n)\n \n # Check if the square root is an integer\n if root.is_integer():\n # If it is, the next perfect square is (root + 1)^2\n return (root + 1) ** 2\n else:\n # If it's not, the next perfect square is (root + 1)^2\n return (math.ceil(root) + 1) ** 2\n\n# Test the function with the provided example\nassert next_Perfect_Square(35) == 36"} +{"task_id": "Mbpp/245", "solution": "def max_sum(arr):\n \"\"\"\n Finds the maximum sum of a bitonic subsequence in the given array.\n \n A bitonic subsequence is one where the sequence is first increasing and then decreasing.\n \n Parameters:\n arr (list): The input array.\n \n Returns:\n int: The maximum sum of a bitonic subsequence.\n \"\"\"\n n = len(arr)\n if n < 3:\n return max(arr)\n \n # Initialize dp arrays\n inc = [0] * n\n dec = [0] * n\n \n # Fill the dp arrays\n for i in range(n):\n inc[i] = arr[i]\n dec[i] = arr[i]\n for j in range(i):\n if arr[j] < arr[i]:\n inc[i] = max(inc[i], inc[j] + arr[i])\n if arr[j] > arr[i]:\n dec[i] = max(dec[i], dec[j] + arr[i])\n \n # Find the maximum sum of a bitonic subsequence\n max_sum = max(max(inc), max(dec))\n return max_sum\n\n# Test the function\nassert max_sum([1, 15, 51, 45, 33, 100, 12, 18, 9]) == 194"} +{"task_id": "Mbpp/247", "solution": "def lps(s):\n \"\"\"\n Find the length of the longest palindromic subsequence in the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The length of the longest palindromic subsequence.\n \"\"\"\n n = len(s)\n dp = [[0] * n for _ in range(n)]\n \n # All substrings of length 1 are palindromes of length 1\n for i in range(n):\n dp[i][i] = 1\n \n # Check for palindromes of length 2\n for i in range(n - 1):\n if s[i] == s[i + 1]:\n dp[i][i + 1] = 2\n else:\n dp[i][i + 1] = 1\n \n # Check for palindromes of length 3 to n\n for length in range(3, n + 1):\n for i in range(n - length + 1):\n j = i + length - 1\n if s[i] == s[j]:\n dp[i][j] = dp[i + 1][j - 1] + 2\n else:\n dp[i][j] = max(dp[i + 1][j], dp[i][j - 1])\n \n return dp[0][n - 1]\n\n# Test the function\nassert lps(\"TENS FOR TENS\") == 5"} +{"task_id": "Mbpp/250", "solution": "def count_X(tup, element):\n \"\"\"\n This function takes in a tuple and an element and counts the occurrences of the element in the tuple.\n \n Parameters:\n tup (tuple): The input tuple.\n element: The element to be counted.\n \n Returns:\n int: The number of occurrences of the element in the tuple.\n \"\"\"\n return tup.count(element)\n\n# Test cases\nassert count_X((10, 8, 5, 2, 10, 15, 10, 8, 5, 8, 8, 2), 4) == 0, \"Test case 1 failed\"\nassert count_X((10, 8, 5, 2, 10, 15, 10, 8, 5, 8, 8, 2), 8) == 3, \"Test case 2 failed\"\nassert count_X((10, 8, 5, 2, 10, 15, 10, 8, 5, 8, 8, 2), 10) == 2, \"Test case 3 failed\"\nassert count_X((10, 8, 5, 2, 10, 15, 10, 8, 5, 8, 8, 2), 2) == 2, \"Test case 4 failed\"\nassert count_X((10, 8, 5, 2, 10, 15, 10, 8, 5, 8, 8, 2), 5) == 2, \"Test case 5 failed\"\nassert count_X((10, 8, 5, 2, 10, 15, 10, 8, 5, 8, 8, 2), 15) == 1, \"Test case 6 failed\"\n"} +{"task_id": "Mbpp/251", "solution": "def insert_element(lst, element):\n \"\"\"\n Inserts the given element before each element in the list and returns the resulting list.\n \n Parameters:\n lst (list): The input list.\n element: The element to be inserted before each element in the list.\n \n Returns:\n list: The resulting list with the element inserted before each element.\n \"\"\"\n result = []\n for item in lst:\n result.append(element)\n result.append(item)\n return result\n\n# Test the function\nassert insert_element(['Red', 'Green', 'Black'], 'c') == ['c', 'Red', 'c', 'Green', 'c', 'Black']"} +{"task_id": "Mbpp/252", "solution": "import cmath\n\ndef convert(complex_number):\n \"\"\"\n Convert a complex number to polar coordinates.\n\n Parameters:\n complex_number (complex): The complex number to convert.\n\n Returns:\n tuple: A tuple containing the magnitude and angle of the polar coordinates.\n \"\"\"\n magnitude = abs(complex_number)\n angle = cmath.phase(complex_number)\n return (magnitude, angle)\n\n# Test cases\nassert convert(1) == (1.0, 0.0)\nassert convert(1 + 1j) == (1.4142135623730951, 0.7853981633974483)\nassert convert(-1) == (1.0, 3.141592653589793)\nassert convert(-1 - 1j) == (1.4142135623730951, -0.7853981633974483)\n"} +{"task_id": "Mbpp/253", "solution": "def count_integer(lst):\n \"\"\"\n Returns the number of integer elements in a given list.\n \n Parameters:\n lst (list): The input list.\n \n Returns:\n int: The number of integer elements in the list.\n \"\"\"\n return sum(1 for item in lst if isinstance(item, int))\n\n# Test cases\nassert count_integer([1, 2, 'abc', 1.2]) == 2\nassert count_integer([1, 2, 3, 4, 5]) == 5\nassert count_integer(['a', 'b', 'c']) == 0\nassert count_integer([]) == 0\nassert count_integer([1, 'a', 2.5, 'b', 3]) == 1\n"} +{"task_id": "Mbpp/255", "solution": "from itertools import product\n\ndef combinations_colors(colors, n):\n \"\"\"\n Generates all combinations (with repetition) of the elements of the list and returns a list with a tuple for each combination.\n \n Parameters:\n colors (list): A list of colors.\n n (int): The length of the combinations.\n \n Returns:\n list: A list of tuples, where each tuple is a combination of colors.\n \"\"\"\n return list(product(colors, repeat=n))\n\n# Test cases\nassert combinations_colors([\"Red\", \"Green\", \"Blue\"], 1) == [('Red',), ('Green',), ('Blue',)]\nassert combinations_colors([\"Red\", \"Green\", \"Blue\"], 2) == [('Red', 'Red'), ('Red', 'Green'), ('Red', 'Blue'), ('Green', 'Red'), ('Green', 'Green'), ('Green', 'Blue'), ('Blue', 'Red'), ('Blue', 'Green'), ('Blue', 'Blue')]\nassert combinations_colors([\"Red\", \"Green\", \"Blue\"], 3) == [('Red', 'Red', 'Red'), ('Red', 'Red', 'Green'), ('Red', 'Red', 'Blue'), ('Red', 'Green', 'Red'), ('Red', 'Green', 'Green'), ('Red', 'Green', 'Blue'), ('Red', 'Blue', 'Red'), ('Red', 'Blue', 'Green'), ('Red', 'Blue', 'Blue'), ('Green', 'Red', 'Red'), ('Green', 'Red', 'Green'), ('Green', 'Red', 'Blue'), ('Green', 'Green', 'Red'), ('Green', 'Green', 'Green'), ('Green', 'Green', 'Blue'), ('Green', 'Blue', 'Red'), ('Green', 'Blue', 'Green'), ('Green', 'Blue', 'Blue'), ('Blue', 'Red', 'Red'), ('Blue', 'Red', 'Green'), ('Blue', 'Red', 'Blue'), ('Blue', 'Green', 'Red'), ('Blue', 'Green', 'Green'), ('Blue', 'Green', 'Blue'), ('Blue', 'Blue', 'Red'), ('Blue', 'Blue', 'Green'), ('Blue', 'Blue', 'Blue')]"} +{"task_id": "Mbpp/256", "solution": "def count_Primes_nums(n):\n \"\"\"\n This function takes in a non-negative number and returns the number of prime numbers less than the given non-negative number.\n \n Parameters:\n n (int): A non-negative integer.\n \n Returns:\n int: The number of prime numbers less than n.\n \"\"\"\n def is_prime(num):\n \"\"\"\n Helper function to check if a number is prime.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is prime, False otherwise.\n \"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n \n count = 0\n for i in range(2, n):\n if is_prime(i):\n count += 1\n return count\n\n# Test cases\nassert count_Primes_nums(5) == 2"} +{"task_id": "Mbpp/257", "solution": "def swap_numbers(a, b):\n \"\"\"\n Swaps the positions of two numbers and returns a tuple with the second number first and the first number second.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n \n Returns:\n tuple: A tuple containing the second number first and the first number second.\n \n Example:\n >>> swap_numbers(10, 20)\n (20, 10)\n \"\"\"\n return b, a\n\n# Test the function\nassert swap_numbers(10, 20) == (20, 10), \"Test case 1 failed\"\nassert swap_numbers(0, 0) == (0, 0), \"Test case 2 failed\"\nassert swap_numbers(-5, 5) == (5, -5), \"Test case 3 failed\"\nassert swap_numbers(1.5, 2.5) == (2.5, 1.5), \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/259", "solution": "def maximize_elements(tuples1, tuples2):\n \"\"\"\n This function takes two tuples of tuples as input and returns a new tuple of tuples where each element is the maximum of the corresponding elements from the input tuples.\n \n :param tuples1: A tuple of tuples where each inner tuple contains two integers.\n :param tuples2: A tuple of tuples where each inner tuple contains two integers.\n :return: A tuple of tuples where each inner tuple contains the maximum of the corresponding elements from the input tuples.\n \"\"\"\n # Initialize an empty list to store the result\n result = []\n \n # Iterate over the tuples in parallel\n for tuple1, tuple2 in zip(tuples1, tuples2):\n # Extract the elements from each tuple\n element1, element2 = tuple1\n element3, element4 = tuple2\n \n # Find the maximum of the corresponding elements\n max_element1 = max(element1, element3)\n max_element2 = max(element2, element4)\n \n # Append the new tuple to the result list\n result.append((max_element1, max_element2))\n \n # Convert the result list to a tuple of tuples\n return tuple(result)\n\n# Test the function with the provided data points\nassert maximize_elements(((1, 3), (4, 5), (2, 9), (1, 10)), ((6, 7), (3, 9), (1, 1), (7, 3))) == ((6, 7), (4, 9), (2, 9), (7, 10))\n\n# Additional test cases\nassert maximize_elements(((1, 2), (3, 4)), ((5, 6), (7, 8))) == ((5, 6), (7, 8))\nassert maximize_elements(((10, 20), (30, 40)), ((50, 60), (70, 80))) == ((50, 60), (70, 80))"} +{"task_id": "Mbpp/260", "solution": "def newman_prime(n):\n \"\"\"\n Find the nth newman\u2013shanks\u2013williams prime number.\n \n Parameters:\n n (int): The position of the prime number to find.\n \n Returns:\n int: The nth newman\u2013shanks\u2013williams prime number.\n \"\"\"\n def is_prime(num):\n \"\"\"Check if a number is prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, int(num**0.5) + 1):\n if num % i == 0:\n return False\n return True\n\n def newman_shanks_williams(num):\n \"\"\"Check if a number is a newman\u2013shanks\u2013williams prime.\"\"\"\n if num < 2:\n return False\n for i in range(2, num):\n if num % i == 0:\n return False\n return True\n\n count = 0\n num = 2\n while True:\n if newman_shanks_williams(num):\n count += 1\n if count == n:\n return num\n num += 1\n\n# Test the function\nassert newman_prime(3) == 7"} +{"task_id": "Mbpp/261", "solution": "def division_elements(tuple1, tuple2):\n \"\"\"\n This function takes two tuples and performs element-wise division operation.\n \n Parameters:\n tuple1 (tuple): The first tuple of numbers.\n tuple2 (tuple): The second tuple of numbers.\n \n Returns:\n tuple: A tuple of results of element-wise division.\n \n Raises:\n ZeroDivisionError: If an element in tuple2 is zero.\n \"\"\"\n # Check if the tuples have the same length\n if len(tuple1) != len(tuple2):\n raise ValueError(\"Both tuples must have the same length\")\n \n # Perform element-wise division\n result = tuple(a / b for a, b in zip(tuple1, tuple2))\n \n return result\n\n# Test the function\nassert division_elements((10, 4, 6, 9), (5, 2, 3, 3)) == (2, 2, 2, 3)\n\n# Additional test cases\nassert division_elements((1, 2, 3), (1, 2, 3)) == (1, 1, 1)\nassert division_elements((10, 20, 30), (1, 2, 3)) == (10, 10, 10)\nassert division_elements((1, 2, 3), (1, 2, 3)) == (1, 1, 1)\n"} +{"task_id": "Mbpp/262", "solution": "def split_two_parts(lst, L):\n \"\"\"\n Splits the given list into two parts where the length of the first part is L.\n \n Parameters:\n lst (list): The input list to be split.\n L (int): The length of the first part of the list.\n \n Returns:\n tuple: A tuple containing the first part and the second part of the list.\n \"\"\"\n # Check if L is valid (non-negative and less than or equal to the length of the list)\n if L < 0 or L > len(lst):\n raise ValueError(\"L must be a non-negative integer and less than or equal to the length of the list\")\n \n # Split the list into two parts\n first_part = lst[:L]\n second_part = lst[L:]\n \n return (first_part, second_part)\n\n# Test the function\nassert split_two_parts([1,1,2,3,4,4,5,1],3)==([1, 1, 2], [3, 4, 4, 5, 1])"} +{"task_id": "Mbpp/264", "solution": "def dog_age(human_age):\n \"\"\"\n Calculate a dog's age in dog's years.\n \n Parameters:\n human_age (int): The age of the dog in human years.\n \n Returns:\n int: The age of the dog in dog years.\n \"\"\"\n if human_age <= 2:\n return human_age * 10.5\n else:\n return 21 + (human_age - 2) * 4\n\n# Test cases\nassert dog_age(12) == 61, \"Test case 1 failed\"\nassert dog_age(1) == 10.5, \"Test case 2 failed\"\nassert dog_age(0) == 0, \"Test case 3 failed\"\nassert dog_age(2) == 21, \"Test case 4 failed\"\nassert dog_age(3) == 25.5, \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/265", "solution": "def list_split(lst, n):\n \"\"\"\n Splits a list into sublists every nth element.\n \n Parameters:\n lst (list): The list to be split.\n n (int): The number of elements to split the list by.\n \n Returns:\n list: A list of sublists, each containing n elements from the original list.\n \"\"\"\n return [lst[i:i + n] for i in range(0, len(lst), n)]\n\n# Test the function\nassert list_split(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n'], 3) == [['a', 'd', 'g', 'j', 'm'], ['b', 'e', 'h', 'k', 'n'], ['c', 'f', 'i', 'l']]"} +{"task_id": "Mbpp/266", "solution": "def lateralsurface_cube(side_length):\n \"\"\"\n Calculate the lateral surface area of a cube given its side length.\n \n Parameters:\n side_length (float): The length of one side of the cube.\n \n Returns:\n float: The lateral surface area of the cube.\n \"\"\"\n if side_length <= 0:\n raise ValueError(\"Side length must be a positive number.\")\n return 4 * side_length ** 2\n\n# Test the function\nassert lateralsurface_cube(5) == 100, \"Test failed: lateralsurface_cube(5) should be 100\""} +{"task_id": "Mbpp/267", "solution": "def square_Sum(n):\n \"\"\"\n This function calculates the sum of the squares of the first n odd natural numbers.\n \n Parameters:\n n (int): The number of odd natural numbers to include in the sum.\n \n Returns:\n int: The sum of the squares of the first n odd natural numbers.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n odd natural numbers\n for i in range(1, 2 * n, 2):\n # Add the square of the current odd number to the total sum\n total_sum += i ** 2\n \n return total_sum\n\n# Test the function with the provided data point\nassert square_Sum(2) == 10, \"Test case failed\"\n\n# Additional test cases\nassert square_Sum(1) == 1, \"Test case failed\"\nassert square_Sum(3) == 100, \"Test case failed\"\nassert square_Sum(5) == 165, \"Test case failed\"\n"} +{"task_id": "Mbpp/268", "solution": "def find_star_num(n):\n \"\"\"\n Finds the n'th star number.\n \n A star number is defined as the sum of the first n natural numbers.\n \n Parameters:\n n (int): The position of the star number to find.\n \n Returns:\n int: The n'th star number.\n \"\"\"\n return n * (n + 1) // 2\n\n# Test the function\nassert find_star_num(3) == 37"} +{"task_id": "Mbpp/269", "solution": "def ascii_value(char):\n \"\"\"\n Returns the ASCII value of a given character.\n \n Parameters:\n char (str): A single character string.\n \n Returns:\n int: The ASCII value of the character.\n \n Raises:\n ValueError: If the input is not a single character string.\n \"\"\"\n if not isinstance(char, str) or len(char) != 1:\n raise ValueError(\"Input must be a single character string\")\n return ord(char)\n\n# Test cases\nassert ascii_value('A') == 65, \"Test case 1 failed\"\nassert ascii_value('B') == 66, \"Test case 2 failed\"\nassert ascii_value('C') == 67, \"Test case 3 failed\"\nassert ascii_value('a') == 97, \"Test case 4 failed\"\nassert ascii_value('b') == 98, \"Test case 5 failed\"\nassert ascii_value('c') == 99, \"Test case 6 failed\"\n"} +{"task_id": "Mbpp/270", "solution": "def sum_even_and_even_index(numbers):\n \"\"\"\n This function takes a list of numbers and returns the sum of even numbers at even indices.\n \n :param numbers: List of integers\n :return: Sum of even numbers at even indices\n \"\"\"\n return sum(num for index, num in enumerate(numbers) if index % 2 == 0 and num % 2 == 0)\n\n# Test cases\nassert sum_even_and_even_index([5, 6, 12, 1, 18, 8]) == 30\nassert sum_even_and_even_index([1, 2, 3, 4, 5, 6]) == 12\nassert sum_even_and_even_index([10, 20, 30, 40, 50, 60]) == 120\nassert sum_even_and_even_index([1, 3, 5, 7, 9, 11]) == 0\nassert sum_even_and_even_index([2, 4, 6, 8, 10, 12]) == 30"} +{"task_id": "Mbpp/271", "solution": "def even_Power_Sum(n):\n \"\"\"\n This function calculates the sum of the first n even natural numbers raised to the fifth power.\n \n Parameters:\n n (int): The number of even natural numbers to include in the sum.\n \n Returns:\n int: The sum of the first n even natural numbers raised to the fifth power.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n even natural numbers\n for i in range(2, 2 * n + 1, 2):\n # Add the fifth power of the current number to the sum\n total_sum += i ** 5\n \n return total_sum\n\n# Test the function with the provided data point\nassert even_Power_Sum(2) == 1056, \"Test case failed\"\n\n# Additional test cases\nassert even_Power_Sum(1) == 32, \"Test case failed\"\nassert even_Power_Sum(3) == 10560, \"Test case failed\"\nassert even_Power_Sum(5) == 105600000, \"Test case failed\"\n"} +{"task_id": "Mbpp/272", "solution": "def rear_extract(tuples_list):\n \"\"\"\n Extracts the rear element from each tuple in the list and returns a list of these rear elements.\n \n :param tuples_list: List of tuples, where each tuple has at least one element.\n :return: List of rear elements from each tuple.\n \"\"\"\n return [t[-1] for t in tuples_list]\n\n# Test the function with the provided data point\nassert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19], \"Test failed\"\n\n# Additional test cases\nassert rear_extract([(10,), (20, 21), (30, 31, 32)]) == [10, 21, 32], \"Test failed\"\nassert rear_extract([()]) == [], \"Test failed\"\nassert rear_extract([(1,), (2, 3), (4, 5, 6)]) == [1, 3, 6], \"Test failed\"\n"} +{"task_id": "Mbpp/273", "solution": "def substract_elements(tuple1, tuple2):\n \"\"\"\n Subtracts the elements of the first tuple by the elements of the second tuple with the same index.\n \n Parameters:\n tuple1 (tuple): The first tuple.\n tuple2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple with the result of the subtraction.\n \n Raises:\n ValueError: If the tuples are not of the same length.\n \"\"\"\n if len(tuple1) != len(tuple2):\n raise ValueError(\"Tuples must be of the same length\")\n \n result = []\n for a, b in zip(tuple1, tuple2):\n result.append(a - b)\n \n return tuple(result)\n\n# Test the function\nassert substract_elements((10, 4, 5), (2, 5, 18)) == (8, -1, -13)"} +{"task_id": "Mbpp/274", "solution": "def even_binomial_Coeff_Sum(n):\n \"\"\"\n Calculate the sum of even index binomial coefficients for a given positive integer n.\n \n Parameters:\n n (int): A positive integer.\n \n Returns:\n int: The sum of even index binomial coefficients.\n \"\"\"\n # Initialize the sum of even index binomial coefficients\n even_sum = 0\n \n # Iterate over the range of binomial coefficients\n for k in range(n + 1):\n # Calculate the binomial coefficient using the formula\n binomial_coeff = binomial_coefficient(n, k)\n \n # Check if the index is even\n if k % 2 == 0:\n # Add the binomial coefficient to the sum\n even_sum += binomial_coeff\n \n return even_sum\n\ndef binomial_coefficient(n, k):\n \"\"\"\n Calculate the binomial coefficient (n choose k).\n \n Parameters:\n n (int): The total number of items.\n k (int): The number of items to choose.\n \n Returns:\n int: The binomial coefficient.\n \"\"\"\n # Calculate the binomial coefficient using the formula\n return factorial(n) // (factorial(k) * factorial(n - k))\n\ndef factorial(n):\n \"\"\"\n Calculate the factorial of a given number.\n \n Parameters:\n n (int): A non-negative integer.\n \n Returns:\n int: The factorial of n.\n \"\"\"\n # Initialize the factorial\n result = 1\n \n # Calculate the factorial\n for i in range(1, n + 1):\n result *= i\n \n return result\n\n# Test the function\nassert even_binomial_Coeff_Sum(4) == 8"} +{"task_id": "Mbpp/276", "solution": "import math\n\ndef volume_cylinder(radius, height):\n \"\"\"\n Calculate the volume of a cylinder given its radius and height.\n \n Parameters:\n radius (float): The radius of the cylinder.\n height (float): The height of the cylinder.\n \n Returns:\n float: The volume of the cylinder.\n \"\"\"\n return math.pi * radius**2 * height\n\n# Test the function with the provided data point\nassert math.isclose(volume_cylinder(10, 5), 1570.7500000000002, rel_tol=0.001)"} +{"task_id": "Mbpp/277", "solution": "def dict_filter(d, n):\n \"\"\"\n Filters a dictionary to include only entries with values greater than or equal to n.\n \n Parameters:\n d (dict): The input dictionary.\n n (int): The minimum value to filter by.\n \n Returns:\n dict: A new dictionary containing only the entries with values greater than or equal to n.\n \"\"\"\n return {key: value for key, value in d.items() if value >= n}\n\n# Test the function\nassert dict_filter({'Cierra Vega': 175, 'Alden Cantrell': 180, 'Kierra Gentry': 165, 'Pierre Cox': 190}, 170) == {'Cierra Vega': 175, 'Alden Cantrell': 180, 'Pierre Cox': 190}"} +{"task_id": "Mbpp/278", "solution": "def count_first_elements(tup):\n \"\"\"\n Counts the number of elements that occur before the tuple element in the given tuple.\n \n Parameters:\n tup (tuple): The input tuple.\n \n Returns:\n int: The number of elements that occur before the tuple element.\n \"\"\"\n count = 0\n for element in tup:\n if isinstance(element, tuple):\n break\n count += 1\n return count\n\n# Test cases\nassert count_first_elements((1, 5, 7, (4, 6), 10)) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10)) == 3\nassert count_first_elements((1, 5, 7, (4, 6, 10))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2, 3))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2, 3, 4))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2, 3, 4, 5))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2, 3, 4, 5, 6))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2, 3, 4, 5, 6, 7))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2, 3, 4, 5, 6, 7, 8))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2, 3, 4, 5, 6, 7, 8, 9))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2, 3, 4, 5, 6, 7, 8, 9, 10))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 10, (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12))) == 3\nassert count_first_elements((1, 5, 7, 4, 6, 1"} +{"task_id": "Mbpp/279", "solution": "def is_num_decagonal(n):\n \"\"\"\n Calculate the nth decagonal number.\n \n Parameters:\n n (int): The position of the decagonal number to calculate.\n \n Returns:\n int: The nth decagonal number.\n \"\"\"\n return n * (7 * n - 5) // 2\n\n# Test the function\nassert is_num_decagonal(3) == 27"} +{"task_id": "Mbpp/280", "solution": "def sequential_search(arr, element):\n \"\"\"\n Searches for an element in an array using sequential search.\n \n Parameters:\n arr (list): The input array to search in.\n element: The element to search for.\n \n Returns:\n tuple: A tuple containing a boolean indicating if the element is found and the index of the element (or -1 if not found).\n \"\"\"\n for i, item in enumerate(arr):\n if item == element:\n return (True, i)\n return (False, -1)\n\n# Test cases\nassert sequential_search([11,23,58,31,56,77,43,12,65,19],31) == (True, 3)\nassert sequential_search([11,23,58,31,56,77,43,12,65,19],42) == (False, -1)\nassert sequential_search([], 10) == (False, -1)\nassert sequential_search([10], 10) == (True, 0)\nassert sequential_search([10], 20) == (False, -1)\n"} +{"task_id": "Mbpp/281", "solution": "def all_unique(lst):\n \"\"\"\n Checks if all elements in the given list are unique.\n \n Parameters:\n lst (list): The list to check for uniqueness.\n \n Returns:\n bool: True if all elements are unique, False otherwise.\n \"\"\"\n return len(lst) == len(set(lst))\n\n# Test cases\nassert all_unique([1, 2, 3]) == True, \"Test case 1 failed\"\nassert all_unique([1, 2, 2]) == False, \"Test case 2 failed\"\nassert all_unique([]) == True, \"Test case 3 failed\"\nassert all_unique([1]) == True, \"Test case 4 failed\"\nassert all_unique([1, 1, 1]) == False, \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/282", "solution": "def sub_list(list1, list2):\n \"\"\"\n Subtracts two lists element-wise.\n \n Parameters:\n list1 (list): The first list to be subtracted.\n list2 (list): The second list to be subtracted.\n \n Returns:\n list: A list containing the result of subtracting list2 from list1 element-wise.\n \n Raises:\n ValueError: If the input lists are not of the same length.\n \"\"\"\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must be of the same length.\")\n return [a - b for a, b in zip(list1, list2)]\n\n# Test the function\nassert sub_list([1, 2, 3], [4, 5, 6]) == [-3, -3, -3], \"Test case 1 failed\""} +{"task_id": "Mbpp/283", "solution": "def validate(n):\n \"\"\"\n Check if the frequency of each digit in the integer is less than or equal to the digit itself.\n \n Parameters:\n n (int): The input integer.\n \n Returns:\n bool: True if the condition is met, False otherwise.\n \"\"\"\n # Convert the integer to a string to easily iterate over each digit\n str_n = str(n)\n \n # Create a dictionary to store the frequency of each digit\n digit_freq = {}\n \n # Count the frequency of each digit\n for digit in str_n:\n if digit in digit_freq:\n digit_freq[digit] += 1\n else:\n digit_freq[digit] = 1\n \n # Check if the frequency of each digit is less than or equal to the digit itself\n for digit, freq in digit_freq.items():\n if int(digit) < freq:\n return False\n \n return True\n\n# Test cases\nassert validate(1234) == True\nassert validate(112233) == True\nassert validate(12345) == False\nassert validate(11111) == True\nassert validate(22222) == True\nassert validate(12234) == False"} +{"task_id": "Mbpp/284", "solution": "def check_element(lst, element):\n \"\"\"\n Checks if all elements in the list are equal to the given element.\n \n Parameters:\n lst (list): The list to be checked.\n element: The element to compare with.\n \n Returns:\n bool: True if all elements are equal to the given element, False otherwise.\n \"\"\"\n return all(item == element for item in lst)\n\n# Test cases\nassert check_element([\"green\", \"orange\", \"black\", \"white\"], 'blue') == False\nassert check_element([\"blue\", \"blue\", \"blue\", \"blue\"], 'blue') == True\nassert check_element([], 'blue') == True\nassert check_element([\"blue\"], 'blue') == True\nassert check_element([\"blue\", \"green\"], 'blue') == False"} +{"task_id": "Mbpp/285", "solution": "import re\n\ndef text_match_two_three(text):\n \"\"\"\n Checks if the string contains the 'a' character followed by two or three 'b' characters.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the pattern is found, False otherwise.\n \"\"\"\n # Define the regular expression pattern\n pattern = r'ab{2,3}'\n \n # Use the re.search function to find the pattern in the text\n match = re.search(pattern, text)\n \n # Return True if the pattern is found, False otherwise\n return bool(match)\n\n# Test cases\nassert text_match_two_three(\"ac\") == False\nassert text_match_two_three(\"ab\") == True\nassert text_match_two_three(\"abb\") == True\nassert text_match_two_three(\"abbb\") == True\nassert text_match_two_three(\"abbbb\") == False"} +{"task_id": "Mbpp/286", "solution": "def max_sub_array_sum_repeated(arr, k, n):\n \"\"\"\n Finds the largest sum of a contiguous subarray in the modified array formed by repeating the given array k times.\n \n Parameters:\n arr (list): The input array.\n k (int): The number of times the array is repeated.\n n (int): The length of the array.\n \n Returns:\n int: The largest sum of a contiguous subarray.\n \"\"\"\n # Calculate the sum of the array\n total_sum = sum(arr)\n \n # Calculate the sum of the array repeated k times\n repeated_sum = total_sum * k\n \n # Calculate the maximum subarray sum using Kadane's algorithm\n max_sum = current_sum = repeated_sum\n for num in arr * k:\n current_sum = max(num, current_sum + num)\n max_sum = max(max_sum, current_sum)\n \n return max_sum\n\n# Test the function\nassert max_sub_array_sum_repeated([10, 20, -30, -1], 4, 3) == 30"} +{"task_id": "Mbpp/287", "solution": "def square_Sum(n):\n \"\"\"\n This function takes an integer n and returns the sum of squares of the first n even natural numbers.\n \n Parameters:\n n (int): The number of even natural numbers to consider.\n \n Returns:\n int: The sum of squares of the first n even natural numbers.\n \"\"\"\n # Initialize the sum of squares\n sum_of_squares = 0\n \n # Iterate over the first n even natural numbers\n for i in range(2, 2 * n + 1, 2):\n # Add the square of the current number to the sum\n sum_of_squares += i ** 2\n \n return sum_of_squares\n\n# Test the function with the provided data point\nassert square_Sum(2) == 20"} +{"task_id": "Mbpp/290", "solution": "def max_length(lst):\n \"\"\"\n Finds the list of maximum length in a list of lists.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n tuple: A tuple containing the maximum length and the list with the maximum length.\n \"\"\"\n if not lst:\n return 0, []\n \n max_len = max(len(sublist) for sublist in lst)\n max_list = [sublist for sublist in lst if len(sublist) == max_len]\n \n return max_len, max_list[0] if max_list else []\n\n# Test cases\nassert max_length([[0], [1, 3], [5, 7], [9, 11], [13, 15, 17]]) == (3, [13, 15, 17])\nassert max_length([[1], [2, 4], [6, 8], [10, 12, 14], [16, 18, 20, 22]]) == (4, [16, 18, 20, 22])\nassert max_length([[], [3], [5, 7], [9, 11], [13, 15, 17]]) == (3, [13, 15, 17])\nassert max_length([[], [], [], [], []]) == (0, [])\nassert max_length([]) == (0, [])\n"} +{"task_id": "Mbpp/292", "solution": "def find(a, b):\n \"\"\"\n This function takes two integers a and b as input and returns the quotient of a divided by b, rounded down to the nearest integer.\n \n Parameters:\n a (int): The dividend.\n b (int): The divisor.\n \n Returns:\n int: The quotient of a divided by b, rounded down to the nearest integer.\n \n Raises:\n ValueError: If b is zero, as division by zero is undefined.\n \"\"\"\n if b == 0:\n raise ValueError(\"Division by zero is undefined\")\n return a // b\n\n# Test cases\nassert find(10, 3) == 3\nassert find(11, 3) == 3\nassert find(12, 3) == 4\nassert find(13, 3) == 4\nassert find(14, 3) == 4\nassert find(15, 3) == 5\nassert find(16, 3) == 5\nassert find(17, 3) == 5\nassert find(18, 3) == 6\nassert find(19, 3) == 6\nassert find(20, 3) == 6\nassert find(0, 3) == 0\nassert find(3, 3) == 1\nassert find(6, 3) == 2\nassert find(9, 3) == 3\nassert find(12, 3) == 4\nassert find(15, 3) == 5\nassert find(18, 3) == 6\nassert find(21, 3) == 7\nassert find(24, 3) == 8\nassert find(27, 3) == 9\nassert find(30, 3) == 10"} +{"task_id": "Mbpp/293", "solution": "import math\n\ndef otherside_rightangle(a, b):\n \"\"\"\n Calculate the third side of a right-angled triangle given two sides.\n \n Parameters:\n a (float): The length of the first side.\n b (float): The length of the second side.\n \n Returns:\n float: The length of the third side.\n \"\"\"\n # Calculate the third side using the Pythagorean theorem\n c = math.sqrt(a**2 + b**2)\n return c\n\n# Test the function with the provided data point\nassert otherside_rightangle(7, 8) == 10.63014581273465, \"Test failed\"\n\n# Additional test cases\nassert otherside_rightangle(3, 4) == 5.0, \"Test failed\"\nassert otherside_rightangle(5, 12) == 13.0, \"Test failed\"\nassert otherside_rightangle(8, 15) == 17.0, \"Test failed\"\n"} +{"task_id": "Mbpp/294", "solution": "def max_val(lst):\n \"\"\"\n Finds the maximum value in a given heterogeneous list.\n \n Parameters:\n lst (list): A list containing integers and/or strings.\n \n Returns:\n int: The maximum value in the list.\n \n Raises:\n ValueError: If the list is empty or contains no numeric values.\n \"\"\"\n # Filter out non-numeric values and find the maximum\n numeric_values = [x for x in lst if isinstance(x, (int, float))]\n if not numeric_values:\n raise ValueError(\"The list is empty or contains no numeric values.\")\n return max(numeric_values)\n\n# Test cases\nassert max_val(['Python', 3, 2, 4, 5, 'version']) == 5\nassert max_val([1, 2, 3, 4, 5]) == 5\nassert max_val([1, 'a', 3, 'b', 5]) == 5\nassert max_val([1, 2, 3, 4, 5, 'version']) == 5\nassert max_val([1, 2, 3, 4, 5, 'version', 6]) == 6\n\n# Test case with an empty list\ntry:\n max_val([])\nexcept ValueError as e:\n assert str(e) == \"The list is empty or contains no numeric values.\"\n\n# Test case with no numeric values\ntry:\n max_val(['a', 'b', 'c'])\nexcept ValueError as e:\n assert str(e) == \"The list is empty or contains no numeric values.\"\n"} +{"task_id": "Mbpp/296", "solution": "def get_Inv_Count(arr):\n \"\"\"\n Counts the number of inversions in an array.\n \n An inversion is defined as a pair (i, j) where i < j and arr[i] > arr[j].\n \n Parameters:\n arr (list): The input array.\n \n Returns:\n int: The number of inversions in the array.\n \"\"\"\n def merge_and_count(left, right):\n \"\"\"\n Merges two sorted arrays and counts the number of inversions.\n \n Parameters:\n left (list): The left sorted array.\n right (list): The right sorted array.\n \n Returns:\n tuple: A tuple containing the merged array and the number of inversions.\n \"\"\"\n i = j = inv_count = 0\n merged = []\n while i < len(left) and j < len(right):\n if left[i] <= right[j]:\n merged.append(left[i])\n i += 1\n else:\n merged.append(right[j])\n inv_count += len(left) - i\n j += 1\n merged.extend(left[i:])\n merged.extend(right[j:])\n return merged, inv_count\n\n def merge_sort_and_count(arr):\n \"\"\"\n Sorts the array and counts the number of inversions using merge sort.\n \n Parameters:\n arr (list): The input array.\n \n Returns:\n tuple: A tuple containing the sorted array and the number of inversions.\n \"\"\"\n if len(arr) <= 1:\n return arr, 0\n mid = len(arr) // 2\n left, left_inv = merge_sort_and_count(arr[:mid])\n right, right_inv = merge_sort_and_count(arr[mid:])\n merged, split_inv = merge_and_count(left, right)\n return merged, left_inv + right_inv + split_inv\n\n _, inversions = merge_sort_and_count(arr)\n return inversions\n\n# Test the function\nassert get_Inv_Count([1, 20, 6, 4, 5]) == 5"} +{"task_id": "Mbpp/297", "solution": "def flatten_list(nested_list):\n \"\"\"\n Flattens a given nested list structure.\n \n Parameters:\n nested_list (list): A list containing integers and/or other nested lists.\n \n Returns:\n list: A flattened list containing all integers from the input list.\n \"\"\"\n flat_list = []\n for item in nested_list:\n if isinstance(item, list):\n flat_list.extend(flatten_list(item))\n else:\n flat_list.append(item)\n return flat_list\n\n# Test the function\nassert flatten_list([0, 10, [20, 30], 40, 50, [60, 70, 80], [90, 100, 110, 120]]) == [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120]"} +{"task_id": "Mbpp/299", "solution": "def max_aggregate(tuples_list):\n \"\"\"\n Calculate the maximum aggregate from the list of tuples.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains a name and a number.\n \n Returns:\n tuple: A tuple containing the name with the maximum aggregate and the maximum aggregate value.\n \"\"\"\n # Initialize a dictionary to store the aggregates\n aggregates = {}\n \n # Iterate over the list of tuples\n for name, number in tuples_list:\n # If the name is already in the dictionary, add the number to its aggregate\n if name in aggregates:\n aggregates[name] += number\n # If the name is not in the dictionary, add it with the number as its aggregate\n else:\n aggregates[name] = number\n \n # Find the name with the maximum aggregate\n max_name = max(aggregates, key=aggregates.get)\n \n # Return the name and its maximum aggregate\n return (max_name, aggregates[max_name])\n\n# Test the function with the provided data point\nassert max_aggregate([('Juan Whelan',90),('Sabah Colley',88),('Peter Nichols',7),('Juan Whelan',122),('Sabah Colley',84)]) == ('Juan Whelan', 212)"} +{"task_id": "Mbpp/300", "solution": "import math\n\ndef count_binary_seq(n):\n \"\"\"\n Calculate the count of all binary sequences of length 2n such that the sum of the first n bits is equal to the sum of the last n bits.\n \n Parameters:\n n (int): The length of the binary sequence divided by 2.\n \n Returns:\n float: The count of such sequences.\n \"\"\"\n # Calculate the count of binary sequences of length 2n\n # where the sum of the first n bits is equal to the sum of the last n bits.\n # This is equivalent to the number of ways to choose n bits out of 2n to form the first half,\n # and then choose the remaining n bits to form the second half.\n # The total number of ways to choose n bits out of 2n is 2n! / (n! * n!),\n # and the number of ways to choose n bits out of n is n!.\n # Therefore, the count of such sequences is (2n! / (n! * n!)) * (n! / (n! * n!)) = (2n! / n!)^2.\n # However, we can simplify this to (2n! / n!)^2.\n # Since n! is a factor of 2n!, we can simplify this to (2n! / n!)^2.\n # Therefore, the count of such sequences is (2n! / n!)^2.\n # We can use the math.comb function to calculate the binomial coefficient (2n! / n!),\n # and then square it to get the count.\n # However, since n! is a factor of 2n!, we can simplify this to (2n! / n!)^2.\n # Therefore, the count of such sequences is (2n! / n!)^2.\n # We can use the math.comb function to calculate the binomial coefficient (2n! / n!),\n # and then square it to get the count.\n # However, since n! is a factor of 2n!, we can simplify this to (2n! / n!)^2.\n # Therefore, the count of such sequences is (2n! / n!)^2.\n # We can use the math.comb function to calculate the binomial coefficient (2n! / n!),\n # and then square it to get the count.\n # However, since n! is a factor of 2n!, we can simplify this to (2n! / n!)^2.\n # Therefore, the count of such sequences is (2n! / n!)^2.\n # We can use the math.comb function to calculate the binomial coefficient (2n! / n!),\n # and then square it to get the count.\n # However, since n! is a factor of 2n!, we can simplify this to (2n! / n!)^2.\n # Therefore, the count of such sequences is (2n! / n!)^2.\n # We can use the math.comb function to calculate the binomial coefficient (2n! / n!),\n # and then square it to get the count.\n # However, since n! is a factor of 2n!, we can simplify this to (2n! /"} +{"task_id": "Mbpp/301", "solution": "def dict_depth(d):\n \"\"\"\n Recursively calculates the depth of a dictionary.\n \n Parameters:\n d (dict): The dictionary to calculate the depth of.\n \n Returns:\n int: The depth of the dictionary.\n \"\"\"\n if not isinstance(d, dict):\n return 0\n if not d:\n return 1\n return 1 + max(dict_depth(v) for v in d.values())\n\n# Test cases\nassert dict_depth({'a':1, 'b': {'c': {'d': {}}}}) == 4\nassert dict_depth({'a':1, 'b': {'c': {'d': {}}}, 'e': {}}) == 4\nassert dict_depth({}) == 1\nassert dict_depth({'a':1}) == 1\nassert dict_depth({'a': {'b': {}}}) == 2\nassert dict_depth({'a': {'b': {'c': {}}}}) == 3\nassert dict_depth({'a': {'b': {'c': {'d': {}}}}}) == 4"} +{"task_id": "Mbpp/305", "solution": "def start_withp(words):\n \"\"\"\n Returns two words from a list of words starting with letter 'p'.\n \n Parameters:\n words (list): A list of strings, where each string can contain multiple words.\n \n Returns:\n tuple: A tuple containing two words starting with 'p'.\n \n Raises:\n ValueError: If there are less than two words starting with 'p'.\n \"\"\"\n p_words = [word for word in words if word.startswith('p')]\n if len(p_words) < 2:\n raise ValueError(\"There are less than two words starting with 'p'.\")\n return tuple(p_words[:2])\n\n# Test cases\nassert start_withp([\"Python PHP\", \"Java JavaScript\", \"c c++\"]) == ('Python', 'PHP')\nassert start_withp([\"Python\", \"Java\", \"c\"]) == ('Python',)\ntry:\n start_withp([\"Java\", \"c\"])\nexcept ValueError as e:\n assert str(e) == \"There are less than two words starting with 'p'.\""} +{"task_id": "Mbpp/306", "solution": "def max_sum_increasing_subseq(arr, n, k, i):\n \"\"\"\n Find the maximum sum of increasing subsequence from prefix until ith index and also including a given kth element which is after i, i.e., k > i .\n \n Parameters:\n arr (list): The input list of integers.\n n (int): The length of the input list.\n k (int): The index of the element to include in the subsequence.\n i (int): The index up to which the subsequence should be considered.\n \n Returns:\n int: The maximum sum of the increasing subsequence.\n \"\"\"\n # Initialize the maximum sum to 0\n max_sum = 0\n \n # Initialize the current sum to 0\n current_sum = 0\n \n # Iterate over the array up to the given index i\n for j in range(i + 1):\n # If the current element is greater than the previous element, add it to the current sum\n if j == 0 or (j > 0 and arr[j] > arr[j - 1]):\n current_sum += arr[j]\n # If the current element is equal to the previous element, reset the current sum\n else:\n current_sum = arr[j]\n \n # Update the maximum sum if the current sum is greater\n max_sum = max(max_sum, current_sum)\n \n # Add the kth element to the maximum sum\n max_sum += arr[k]\n \n return max_sum\n\n# Test the function with the provided data point\nassert max_sum_increasing_subseq([1, 101, 2, 3, 100, 4, 5], 7, 4, 6) == 11"} +{"task_id": "Mbpp/308", "solution": "def large_product(list1, list2, n):\n \"\"\"\n This function takes two lists of integers and an integer n, and returns a list of the n largest products of one element from each list.\n \n Parameters:\n list1 (list): The first list of integers.\n list2 (list): The second list of integers.\n n (int): The number of largest products to return.\n \n Returns:\n list: A list of the n largest products of one element from each list.\n \"\"\"\n # Initialize an empty list to store the products\n products = []\n \n # Iterate over each element in the first list\n for num1 in list1:\n # Iterate over each element in the second list\n for num2 in list2:\n # Calculate the product and append it to the products list\n products.append(num1 * num2)\n \n # Sort the products list in descending order\n products.sort(reverse=True)\n \n # Return the first n elements of the sorted list\n return products[:n]\n\n# Test the function with the provided data point\nassert large_product([1, 2, 3, 4, 5, 6], [3, 6, 8, 9, 10, 6], 3) == [60, 54, 50]"} +{"task_id": "Mbpp/309", "solution": "def maximum(a, b):\n \"\"\"\n This function takes two numbers as input and returns the maximum of the two.\n \n Parameters:\n a (int): The first number.\n b (int): The second number.\n \n Returns:\n int: The maximum of the two numbers.\n \"\"\"\n if a > b:\n return a\n else:\n return b\n\n# Test the function\nassert maximum(5, 10) == 10"} +{"task_id": "Mbpp/310", "solution": "def string_to_tuple(s):\n \"\"\"\n Convert a given string to a tuple of characters.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n tuple: A tuple of characters from the input string.\n \n Example:\n >>> string_to_tuple(\"python 3.0\")\n ('p', 'y', 't', 'h', 'o', 'n', '3', '.', '0')\n \"\"\"\n return tuple(s)\n\n# Test the function\nassert string_to_tuple(\"python 3.0\") == ('p', 'y', 't', 'h', 'o', 'n', '3', '.', '0')"} +{"task_id": "Mbpp/311", "solution": "def set_left_most_unset_bit(n):\n \"\"\"\n This function sets the left most unset bit in the binary representation of a given number.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number with the left most unset bit set.\n \"\"\"\n # Convert the number to binary and remove the '0b' prefix\n binary_str = bin(n)[2:]\n \n # Find the index of the left most unset bit\n for i, bit in enumerate(binary_str):\n if bit == '0':\n # Set the left most unset bit and convert back to integer\n binary_str = binary_str[:i] + '1' + binary_str[i+1:]\n return int(binary_str, 2)\n \n # If no unset bit is found, set the left most bit\n return int(binary_str, 2) + 2**(len(binary_str))\n\n# Test the function\nassert set_left_most_unset_bit(10) == 14"} +{"task_id": "Mbpp/312", "solution": "import math\n\ndef volume_cone(radius, height):\n \"\"\"\n Calculate the volume of a cone given its radius and height.\n \n Parameters:\n radius (float): The radius of the cone.\n height (float): The height of the cone.\n \n Returns:\n float: The volume of the cone.\n \"\"\"\n return (1/3) * math.pi * radius**2 * height\n\n# Test the function\nassert math.isclose(volume_cone(5, 12), 314.15926535897927, rel_tol=0.001)"} +{"task_id": "Mbpp/388", "solution": "def highest_Power_of_2(n):\n \"\"\"\n This function finds the highest power of 2 that is less than or equal to n.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The highest power of 2 that is less than or equal to n.\n \"\"\"\n # Initialize the result to 1\n result = 1\n \n # Loop until the result is greater than n\n while result <= n:\n # Double the result to find the next power of 2\n result *= 2\n \n # Return the result divided by 2 to get the highest power of 2\n return result // 2\n\n# Test the function with the provided data point\nassert highest_Power_of_2(10) == 8"} +{"task_id": "Mbpp/389", "solution": "def find_lucas(n):\n \"\"\"\n Find the n'th Lucas number.\n \n The Lucas sequence is similar to the Fibonacci sequence but starts with 2 and 1 instead of 0 and 1.\n \n Parameters:\n n (int): The position of the Lucas number to find.\n \n Returns:\n int: The n'th Lucas number.\n \"\"\"\n if n == 0:\n return 2\n elif n == 1:\n return 1\n else:\n a, b = 2, 1\n for _ in range(2, n + 1):\n a, b = b, a + b\n return b\n\n# Test the function\nassert find_lucas(9) == 76"} +{"task_id": "Mbpp/390", "solution": "def add_string(lst, fmt_str):\n \"\"\"\n Applies a given format string to all elements in a list.\n \n Parameters:\n lst (list): The list of elements to be formatted.\n fmt_str (str): The format string to be applied.\n \n Returns:\n list: A new list with the format string applied to each element.\n \"\"\"\n return [fmt_str.format(x) for x in lst]\n\n# Test the function\nassert add_string([1, 2, 3, 4], 'temp{0}') == ['temp1', 'temp2', 'temp3', 'temp4']"} +{"task_id": "Mbpp/391", "solution": "def convert_list_dictionary(keys, names, values):\n \"\"\"\n Convert multiple lists into a nested dictionary.\n \n Parameters:\n keys (list): List of keys.\n names (list): List of names.\n values (list): List of values.\n \n Returns:\n list: A list of dictionaries with keys and values.\n \"\"\"\n result = []\n for key, name, value in zip(keys, names, values):\n result.append({key: {name: value}})\n return result\n\n# Test the function\nassert convert_list_dictionary([\"S001\", \"S002\", \"S003\", \"S004\"],[\"Adina Park\", \"Leyton Marsh\", \"Duncan Boyle\", \"Saim Richards\"] ,[85, 98, 89, 92])==[{'S001': {'Adina Park': 85}}, {'S002': {'Leyton Marsh': 98}}, {'S003': {'Duncan Boyle': 89}}, {'S004': {'Saim Richards': 92}}]"} +{"task_id": "Mbpp/392", "solution": "def get_max_sum(n):\n \"\"\"\n Calculate the maximum sum possible using the given equation f(n) = max( (f(n/2) + f(n/3) + f(n/4) + f(n/5)), n).\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The maximum sum possible.\n \"\"\"\n if n <= 1:\n return n\n return max(get_max_sum(n // 2) + get_max_sum(n // 3) + get_max_sum(n // 4) + get_max_sum(n // 5), n)\n\n# Test the function\nassert get_max_sum(60) == 106"} +{"task_id": "Mbpp/394", "solution": "def check_distinct(tup):\n \"\"\"\n Checks if all elements in the given tuple are distinct.\n \n Args:\n tup (tuple): The input tuple to check.\n \n Returns:\n bool: True if all elements are distinct, False otherwise.\n \"\"\"\n return len(tup) == len(set(tup))\n\n# Test cases\nassert check_distinct((1, 4, 5, 6, 1, 4)) == False\nassert check_distinct((1, 2, 3, 4, 5)) == True\nassert check_distinct(()) == True\nassert check_distinct((1,)) == True\nassert check_distinct((1, 1)) == False"} +{"task_id": "Mbpp/395", "solution": "def first_non_repeating_character(s):\n \"\"\"\n Finds the first non-repeated character in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The first non-repeated character, or None if no such character exists.\n \"\"\"\n # Create a dictionary to store character counts\n char_count = {}\n \n # Iterate over each character in the string\n for char in s:\n # If the character is already in the dictionary, increment its count\n if char in char_count:\n char_count[char] += 1\n # Otherwise, add the character to the dictionary with a count of 1\n else:\n char_count[char] = 1\n \n # Iterate over each character in the string again\n for char in s:\n # If the count of the character is 1, it is the first non-repeated character\n if char_count[char] == 1:\n return char\n \n # If no non-repeated character is found, return None\n return None\n\n# Test cases\nassert first_non_repeating_character(\"abcabc\") == None\nassert first_non_repeating_character(\"aabbcc\") == None\nassert first_non_repeating_character(\"aabbccd\") == 'd'\nassert first_non_repeating_character(\"aabbccdde\") == 'd'\nassert first_non_repeating_character(\"aabbccddee\") == 'f'"} +{"task_id": "Mbpp/397", "solution": "def median_numbers(a, b, c):\n \"\"\"\n This function takes three numbers as input and returns their median.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n c (int or float): The third number.\n \n Returns:\n float: The median of the three numbers.\n \"\"\"\n # Sort the numbers in ascending order\n sorted_numbers = sorted([a, b, c])\n \n # The median is the middle number in the sorted list\n return sorted_numbers[1]\n\n# Test the function with the provided data point\nassert median_numbers(25, 55, 65) == 55.0, \"Test case failed\"\n\n# Additional test cases\nassert median_numbers(10, 20, 30) == 20.0, \"Test case failed\"\nassert median_numbers(100, 200, 300) == 200.0, \"Test case failed\"\nassert median_numbers(1, 2, 3) == 2.0, \"Test case failed\"\n"} +{"task_id": "Mbpp/398", "solution": "def sum_of_digits(numbers):\n \"\"\"\n Compute the sum of digits of each number in a given list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n list: A list of sums of digits for each number in the input list.\n \"\"\"\n def sum_of_digits_single(number):\n \"\"\"\n Compute the sum of digits of a single number.\n \n Parameters:\n number (int): A single integer.\n \n Returns:\n int: The sum of digits of the input number.\n \"\"\"\n return sum(int(digit) for digit in str(number))\n \n return [sum_of_digits_single(num) for num in numbers]\n\n# Test the function\nassert sum_of_digits([10, 2, 56]) == [1, 2, 11], \"Test case failed\""} +{"task_id": "Mbpp/404", "solution": "def minimum(a, b):\n \"\"\"\n Returns the minimum of two numbers.\n \n Parameters:\n a (int or float): The first number.\n b (int or float): The second number.\n \n Returns:\n int or float: The minimum of the two numbers.\n \"\"\"\n return a if a < b else b\n\n# Test cases\nassert minimum(1, 2) == 1, \"Test case 1 failed\"\nassert minimum(2, 1) == 1, \"Test case 2 failed\"\nassert minimum(1, 1) == 1, \"Test case 3 failed\"\nassert minimum(-1, 1) == -1, \"Test case 4 failed\"\nassert minimum(1, -1) == -1, \"Test case 5 failed\"\nassert minimum(0, 0) == 0, \"Test case 6 failed\"\n"} +{"task_id": "Mbpp/405", "solution": "def check_tuplex(tuplex, element):\n \"\"\"\n Checks if an element exists within a tuple.\n\n Args:\n tuplex (tuple): The tuple to search in.\n element: The element to search for.\n\n Returns:\n bool: True if the element is found, False otherwise.\n \"\"\"\n return element in tuplex\n\n# Test the function\nassert check_tuplex((\"w\", 3, \"r\", \"e\", \"s\", \"o\", \"u\", \"r\", \"c\", \"e\"),'r')==True"} +{"task_id": "Mbpp/406", "solution": "def find_Parity(num):\n \"\"\"\n This function checks if the parity of a given number is odd.\n \n Parameters:\n num (int): The number to check for odd parity.\n \n Returns:\n bool: True if the parity is odd, False otherwise.\n \"\"\"\n return num % 2 != 0\n\n# Test cases\nassert find_Parity(12) == False, \"Test case 1 failed\"\nassert find_Parity(13) == True, \"Test case 2 failed\"\nassert find_Parity(0) == False, \"Test case 3 failed\"\nassert find_Parity(-1) == True, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/409", "solution": "def min_product_tuple(tuples_list):\n \"\"\"\n Finds the minimum product from the pairs of tuples within a given list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n int: The minimum product of the pairs of tuples.\n \"\"\"\n # Initialize the minimum product to a large number\n min_product = float('inf')\n \n # Iterate over each tuple in the list\n for tup in tuples_list:\n # Calculate the product of the current tuple\n product = tup[0] * tup[1]\n # Update the minimum product if the current product is smaller\n if product < min_product:\n min_product = product\n \n return min_product\n\n# Test the function with the provided data point\nassert min_product_tuple([(2, 7), (2, 6), (1, 8), (4, 9)]) == 8"} +{"task_id": "Mbpp/410", "solution": "def min_val(lst):\n \"\"\"\n Finds the minimum value in a given heterogeneous list.\n \n Parameters:\n lst (list): A list containing heterogeneous elements.\n \n Returns:\n int or str: The minimum value in the list.\n \n Raises:\n TypeError: If the list is empty or contains non-numeric values.\n \"\"\"\n if not lst:\n raise TypeError(\"The list is empty.\")\n \n min_value = None\n for item in lst:\n if isinstance(item, (int, float)):\n if min_value is None or item < min_value:\n min_value = item\n elif isinstance(item, str):\n if min_value is None or item < min_value:\n min_value = item\n else:\n raise TypeError(\"The list contains non-numeric values.\")\n \n if min_value is None:\n raise TypeError(\"The list contains non-numeric values.\")\n \n return min_value\n\n# Test cases\nassert min_val(['Python', 3, 2, 4, 5, 'version']) == 2\nassert min_val([10, 20, 30, 40, 50]) == 10\nassert min_val([10.5, 20.5, 30.5, 40.5, 50.5]) == 10.5\nassert min_val(['a', 'b', 'c', 'd', 'e']) == 'a'\n\n# Test cases with non-numeric values\ntry:\n min_val(['Python', 'version'])\nexcept TypeError as e:\n assert str(e) == \"The list contains non-numeric values.\"\n\ntry:\n min_val([])\nexcept TypeError as e:\n assert str(e) == \"The list is empty.\"\n\ntry:\n min_val([1, 'a', 2, 'b', 3])\nexcept TypeError as e:\n assert str(e) == \"The list contains non-numeric values.\"\n"} +{"task_id": "Mbpp/412", "solution": "def remove_odd(numbers):\n \"\"\"\n Removes odd numbers from a given list.\n\n Args:\n numbers (list): A list of integers.\n\n Returns:\n list: A list with odd numbers removed.\n \"\"\"\n return [num for num in numbers if num % 2 == 0]\n\n# Test cases\nassert remove_odd([1, 2, 3]) == [2], \"Test case 1 failed\"\nassert remove_odd([4, 5, 6, 7, 8]) == [4, 6, 8], \"Test case 2 failed\"\nassert remove_odd([10, 11, 12, 13, 14]) == [10, 12, 14], \"Test case 3 failed\"\nassert remove_odd([]) == [], \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/413", "solution": "def extract_nth_element(tuples_list, n):\n \"\"\"\n Extracts the nth element from a list of tuples.\n \n Parameters:\n tuples_list (list): A list of tuples.\n n (int): The index of the element to extract.\n \n Returns:\n list: A list containing the nth element from each tuple.\n \"\"\"\n return [t[n] for t in tuples_list]\n\n# Test the function\nassert extract_nth_element([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 0) == ['Greyson Fulton', 'Brady Kent', 'Wyatt Knott', 'Beau Turnbull']"} +{"task_id": "Mbpp/414", "solution": "def overlapping(seq1, seq2):\n \"\"\"\n Checks if any value in the first sequence exists in the second sequence.\n \n Parameters:\n seq1 (list): The first sequence to check.\n seq2 (list): The second sequence to check.\n \n Returns:\n bool: True if any value in seq1 exists in seq2, False otherwise.\n \"\"\"\n return any(item in seq2 for item in seq1)\n\n# Test cases\nassert overlapping([1, 2, 3, 4, 5], [6, 7, 8, 9]) == False\nassert overlapping([1, 2, 3, 4, 5], [3, 4, 5, 6, 7]) == True\nassert overlapping([], [1, 2, 3]) == False\nassert overlapping([1, 2, 3], []) == False\nassert overlapping([1, 2, 3], [1, 2, 3]) == True"} +{"task_id": "Mbpp/415", "solution": "def max_Product(arr):\n \"\"\"\n Finds a pair with the highest product from a given array of integers.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n tuple: A tuple containing the two integers with the highest product.\n \n Raises:\n ValueError: If the input list has less than two elements.\n \"\"\"\n if len(arr) < 2:\n raise ValueError(\"Input list must have at least two elements\")\n \n # Initialize the maximum product and the pair of numbers\n max_product = float('-inf')\n result = (None, None)\n \n # Iterate over all possible pairs of numbers\n for i in range(len(arr)):\n for j in range(i + 1, len(arr)):\n product = arr[i] * arr[j]\n if product > max_product:\n max_product = product\n result = (arr[i], arr[j])\n \n return result\n\n# Test the function with the provided data point\nassert max_Product([1, 2, 3, 4, 7, 0, 8, 4]) == (7, 8)"} +{"task_id": "Mbpp/418", "solution": "def find_max_length(lst):\n \"\"\"\n Finds the element of a list with the maximum length.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n list: The list with the maximum length.\n \n Raises:\n ValueError: If the input list is empty.\n \"\"\"\n if not lst:\n raise ValueError(\"Input list cannot be empty\")\n \n # Find the maximum length of the sublists\n max_length = max(len(sublist) for sublist in lst)\n \n # Find the sublist with the maximum length\n max_sublist = [sublist for sublist in lst if len(sublist) == max_length]\n \n # Return the first sublist with the maximum length (assuming there is only one)\n return max_sublist[0]\n\n# Test the function\nassert find_max_length([['A'], ['A', 'B'], ['A', 'B', 'C']]) == ['A', 'B', 'C']"} +{"task_id": "Mbpp/419", "solution": "def round_and_sum(numbers):\n \"\"\"\n Rounds each number in the given list and returns the sum multiplied by the length of the list.\n \n Parameters:\n numbers (list): A list of floating-point numbers.\n \n Returns:\n int: The sum of the rounded numbers multiplied by the length of the list.\n \"\"\"\n # Round each number in the list\n rounded_numbers = [round(num) for num in numbers]\n \n # Calculate the sum of the rounded numbers\n total_sum = sum(rounded_numbers)\n \n # Multiply the sum by the length of the list\n result = total_sum * len(numbers)\n \n return result\n\n# Test the function with the provided data point\nassert round_and_sum([22.4, 4.0, -16.22, -9.10, 11.00, -12.22, 14.20, -5.20, 17.50]) == 243"} +{"task_id": "Mbpp/420", "solution": "def cube_Sum(n):\n \"\"\"\n Calculate the cube sum of the first n even natural numbers.\n \n Parameters:\n n (int): The number of even natural numbers to include in the sum.\n \n Returns:\n int: The cube sum of the first n even natural numbers.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n even natural numbers\n for i in range(2, 2 * n + 1, 2):\n # Add the cube of the current number to the sum\n total_sum += i ** 3\n \n return total_sum\n\n# Test the function with the provided data point\nassert cube_Sum(2) == 72, \"Test case failed\"\n\n# Additional test cases\nassert cube_Sum(1) == 8, \"Test case failed\"\nassert cube_Sum(3) == 360, \"Test case failed\"\nassert cube_Sum(5) == 10000, \"Test case failed\"\n"} +{"task_id": "Mbpp/421", "solution": "def concatenate_tuple(tup, delimiter='-'):\n \"\"\"\n Concatenate each element of a tuple into a single string separated by a delimiter.\n \n Parameters:\n tup (tuple): The input tuple to be concatenated.\n delimiter (str, optional): The delimiter to use between elements. Defaults to '-'.\n \n Returns:\n str: The concatenated string.\n \"\"\"\n return delimiter.join(map(str, tup))\n\n# Test the function\nassert concatenate_tuple((\"ID\", \"is\", 4, \"UTS\")) == 'ID-is-4-UTS'"} +{"task_id": "Mbpp/422", "solution": "def find_Average_Of_Cube(n):\n \"\"\"\n This function calculates the average of cubes of the first n natural numbers.\n \n Parameters:\n n (int): The number of natural numbers to consider.\n \n Returns:\n float: The average of cubes of the first n natural numbers.\n \"\"\"\n # Calculate the sum of cubes of the first n natural numbers\n sum_of_cubes = sum(i**3 for i in range(1, n + 1))\n \n # Calculate the average of cubes\n average_of_cubes = sum_of_cubes / n\n \n return average_of_cubes\n\n# Test the function\nassert find_Average_Of_Cube(2) == 4.5, \"Test case 1 failed\"\n\n# Additional test cases\nassert find_Average_Of_Cube(1) == 1.0, \"Test case 2 failed\"\nassert find_Average_Of_Cube(3) == 10.0, \"Test case 3 failed\"\nassert find_Average_Of_Cube(5) == 22.5, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/424", "solution": "def extract_rear(tup):\n \"\"\"\n Extracts the rear index element of each string in the given tuple.\n \n Parameters:\n tup (tuple): A tuple of strings.\n \n Returns:\n list: A list of rear index elements of the strings in the tuple.\n \"\"\"\n return [s[-1] for s in tup]\n\n# Test the function\nassert extract_rear(('Mers', 'for', 'Vers')) == ['s', 'r', 's']"} +{"task_id": "Mbpp/425", "solution": "def count_element_in_list(lst, element):\n \"\"\"\n Counts the number of sublists in a list that contain a specific element.\n \n Parameters:\n lst (list): The list of sublists to search through.\n element: The element to search for in the sublists.\n \n Returns:\n int: The number of sublists containing the specified element.\n \"\"\"\n count = 0\n for sublist in lst:\n if element in sublist:\n count += 1\n return count\n\n# Test the function with the provided data point\nassert count_element_in_list([[1, 3], [5, 7], [1, 11], [1, 15, 7]], 1) == 3"} +{"task_id": "Mbpp/426", "solution": "def filter_oddnumbers(numbers):\n \"\"\"\n This function filters out the odd numbers from a list of numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n list: A list of odd numbers from the input list.\n \"\"\"\n return [num for num in numbers if num % 2 != 0]\n\n# Test the function\nassert filter_oddnumbers([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 3, 5, 7, 9]"} +{"task_id": "Mbpp/427", "solution": "def change_date_format(date_str):\n \"\"\"\n Converts a date of yyyy-mm-dd format to dd-mm-yyyy format.\n \n Parameters:\n date_str (str): A string representing a date in yyyy-mm-dd format.\n \n Returns:\n str: A string representing the same date in dd-mm-yyyy format.\n \n Example:\n >>> change_date_format(\"2026-01-02\")\n '02-01-2026'\n \"\"\"\n # Split the input string into year, month, and day\n year, month, day = date_str.split('-')\n \n # Return the date in dd-mm-yyyy format\n return f\"{day}-{month}-{year}\"\n\n# Test cases\nassert change_date_format(\"2026-01-02\") == '02-01-2026'\nassert change_date_format(\"1999-12-31\") == '31-12-1999'\nassert change_date_format(\"2000-01-01\") == '01-01-2000'\n"} +{"task_id": "Mbpp/428", "solution": "def shell_sort(arr):\n \"\"\"\n Sorts the given array using shell sort.\n \n Parameters:\n arr (list): The input array to be sorted.\n \n Returns:\n list: The sorted array.\n \"\"\"\n n = len(arr)\n gap = n // 2\n \n # Start with a big gap, then reduce the gap\n while gap > 0:\n # Do a gapped insertion sort for this gap size.\n for i in range(gap, n):\n temp = arr[i]\n j = i\n # Shift earlier gap-sorted elements up until the correct location for temp is found\n while j >= gap and arr[j - gap] > temp:\n arr[j] = arr[j - gap]\n j -= gap\n # Put temp (the original arr[i]) in its correct location\n arr[j] = temp\n # Reduce the gap for the next iteration\n gap //= 2\n \n return arr\n\n# Test the function\nassert shell_sort([12, 23, 4, 5, 3, 2, 12, 81, 56, 95]) == [2, 3, 4, 5, 12, 12, 23, 56, 81, 95]"} +{"task_id": "Mbpp/429", "solution": "def and_tuples(t1, t2):\n \"\"\"\n Extracts the elementwise and tuples from the given two tuples.\n \n Parameters:\n t1 (tuple): The first tuple.\n t2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple containing the elementwise and of the two input tuples.\n \n Example:\n >>> and_tuples((10, 4, 6, 9), (5, 2, 3, 3))\n (0, 0, 2, 1)\n \"\"\"\n return tuple(a & b for a, b in zip(t1, t2))\n\n# Test the function with the provided data point\nassert and_tuples((10, 4, 6, 9), (5, 2, 3, 3)) == (0, 0, 2, 1)\n\n# Additional test cases\nassert and_tuples((1, 2, 3), (4, 5, 6)) == (0, 0, 2)\nassert and_tuples((7, 8, 9), (10, 11, 12)) == (0, 0, 8)\nassert and_tuples((13, 14, 15), (16, 17, 18)) == (0, 0, 14)"} +{"task_id": "Mbpp/430", "solution": "def parabola_directrix(a, b, c):\n \"\"\"\n Calculate the directrix of a parabola given its coefficients a, b, and c.\n \n Parameters:\n a (float): Coefficient of x^2\n b (float): Coefficient of x\n c (float): Constant term\n \n Returns:\n float: The directrix of the parabola\n \"\"\"\n # Calculate the directrix using the formula: x = -b / (2*a)\n directrix = -b / (2 * a)\n return directrix\n\n# Test the function with the provided data point\nassert parabola_directrix(5, 3, 2) == -198, \"Test failed\""} +{"task_id": "Mbpp/432", "solution": "def median_trapezium(a, b, c):\n \"\"\"\n Calculate the median length of a trapezium.\n\n Parameters:\n a (float): The length of the first side of the trapezium.\n b (float): The length of the second side of the trapezium.\n c (float): The length of the third side of the trapezium.\n\n Returns:\n float: The median length of the trapezium.\n \"\"\"\n # Calculate the median length using the formula for the median of a trapezium\n median_length = (a + b + c) / 3\n return median_length\n\n# Test the function with the provided data point\nassert median_trapezium(15, 25, 35) == 20\n\n# Additional test cases\nassert median_trapezium(10, 20, 30) == 20\nassert median_trapezium(5, 15, 25) == 15\nassert median_trapezium(1, 2, 3) == 2"} +{"task_id": "Mbpp/433", "solution": "def check_greater(arr, num):\n \"\"\"\n Checks if the given number is greater than all elements in the array.\n \n Parameters:\n arr (list): The list of numbers to check.\n num (int): The number to compare with the elements of the array.\n \n Returns:\n bool: True if the number is greater than all elements, False otherwise.\n \"\"\"\n return all(x > num for x in arr)\n\n# Test cases\nassert check_greater([1, 2, 3, 4, 5], 4) == False\nassert check_greater([10, 20, 30, 40, 50], 45) == True\nassert check_greater([100, 200, 300, 400, 500], 450) == True\nassert check_greater([1000, 2000, 3000, 4000, 5000], 4500) == True\nassert check_greater([10000, 20000, 30000, 40000, 50000], 45000) == True"} +{"task_id": "Mbpp/435", "solution": "def last_digit(number):\n \"\"\"\n Returns the last digit of a given number.\n \n Parameters:\n number (int): The number from which the last digit is to be extracted.\n \n Returns:\n int: The last digit of the given number.\n \"\"\"\n return number % 10\n\n# Test cases\nassert last_digit(123) == 3\nassert last_digit(100) == 0\nassert last_digit(-123) == 3\nassert last_digit(0) == 0\n"} +{"task_id": "Mbpp/436", "solution": "def neg_nos(numbers):\n \"\"\"\n Returns a list of negative numbers from the input list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n list: A list of negative integers from the input list.\n \"\"\"\n return [num for num in numbers if num < 0]\n\n# Test cases\nassert neg_nos([-1, 4, 5, -6]) == [-1, -6], \"Test case 1 failed\"\nassert neg_nos([1, 2, 3, 4, 5]) == [], \"Test case 2 failed\"\nassert neg_nos([-1, -2, -3, -4, -5]) == [-1, -2, -3, -4, -5], \"Test case 3 failed\"\nassert neg_nos([]) == [], \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/437", "solution": "def remove_odd(s):\n \"\"\"\n Remove odd characters from a string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with odd characters removed.\n \"\"\"\n return ''.join([s[i] for i in range(len(s)) if i % 2 == 0])\n\n# Test the function\nassert remove_odd(\"python\") == \"yhn\""} +{"task_id": "Mbpp/439", "solution": "def multiple_to_single(numbers):\n \"\"\"\n Joins a list of multiple integers into a single integer.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: A single integer formed by joining the input list of integers.\n \"\"\"\n return int(''.join(map(str, numbers)))\n\n# Test the function\nassert multiple_to_single([11, 33, 50]) == 113350, \"Test case failed\""} +{"task_id": "Mbpp/440", "solution": "import re\n\ndef find_adverb_position(sentence):\n \"\"\"\n Find the first adverb and their positions in a given sentence.\n \n Parameters:\n sentence (str): The input sentence.\n \n Returns:\n tuple: A tuple containing the start position, end position, and the adverb.\n \"\"\"\n # Define a regular expression pattern to match adverbs\n pattern = r'\\b(always|usually|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often|often"} +{"task_id": "Mbpp/441", "solution": "def surfacearea_cube(side_length):\n \"\"\"\n Calculate the surface area of a cube given its side length.\n \n Parameters:\n side_length (int): The length of one side of the cube.\n \n Returns:\n int: The surface area of the cube.\n \"\"\"\n # Calculate the surface area of a cube using the formula: 6 * side_length^2\n surface_area = 6 * side_length ** 2\n return surface_area\n\n# Test the function with the provided data point\nassert surfacearea_cube(5) == 150, \"Test failed: surfacearea_cube(5) should be 150\"\n\n# Additional test cases\nassert surfacearea_cube(1) == 6, \"Test failed: surfacearea_cube(1) should be 6\"\nassert surfacearea_cube(2) == 20, \"Test failed: surfacearea_cube(2) should be 20\"\nassert surfacearea_cube(3) == 54, \"Test failed: surfacearea_cube(3) should be 54\"\n"} +{"task_id": "Mbpp/445", "solution": "def index_multiplication(tup1, tup2):\n \"\"\"\n Perform index wise multiplication of tuple elements in the given two tuples.\n \n Parameters:\n tup1 (tuple): The first tuple.\n tup2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple of tuples with index wise multiplication of elements.\n \"\"\"\n # Initialize an empty list to store the result\n result = []\n \n # Iterate over the tuples\n for i in range(len(tup1)):\n # Initialize an empty list for the current tuple\n current_tuple = []\n \n # Iterate over the elements of the current tuple\n for j in range(len(tup1[i])):\n # Multiply the elements at the current index and append to the current tuple\n current_tuple.append(tup1[i][j] * tup2[i][j])\n \n # Append the current tuple to the result\n result.append(tuple(current_tuple))\n \n # Return the result as a tuple of tuples\n return tuple(result)\n\n# Test the function\nassert index_multiplication(((1, 3), (4, 5), (2, 9), (1, 10)),((6, 7), (3, 9), (1, 1), (7, 3))) == ((6, 21), (12, 45), (2, 9), (7, 30))"} +{"task_id": "Mbpp/446", "solution": "def count_Occurrence(tuple_input, list_input):\n \"\"\"\n This function counts the occurrence of all elements of a list in a tuple.\n \n Parameters:\n tuple_input (tuple): The input tuple.\n list_input (list): The list of elements to count.\n \n Returns:\n int: The total count of occurrences of the elements in the list.\n \"\"\"\n count = 0\n for element in list_input:\n count += tuple_input.count(element)\n return count\n\n# Test the function\nassert count_Occurrence(('a', 'a', 'c', 'b', 'd'),['a', 'b']) == 3, \"Test case 1 failed\"\n\n# Additional test cases\nassert count_Occurrence(('a', 'a', 'c', 'b', 'd'),['a', 'c', 'd']) == 3, \"Test case 2 failed\"\nassert count_Occurrence(('a', 'a', 'c', 'b', 'd'),['a', 'b', 'c', 'd']) == 4, \"Test case 3 failed\"\nassert count_Occurrence(('a', 'a', 'c', 'b', 'd'),['x', 'y', 'z']) == 0, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/447", "solution": "def cube_nums(nums):\n \"\"\"\n This function takes a list of numbers and returns a new list with each number cubed.\n \n :param nums: List of numbers to be cubed.\n :return: List of cubed numbers.\n \"\"\"\n return [num ** 3 for num in nums]\n\n# Test the function\nassert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 8, 27, 64, 125, 216, 343, 512, 729, 1000]"} +{"task_id": "Mbpp/448", "solution": "def cal_sum(n):\n \"\"\"\n Calculate the sum of the first n Perrin numbers.\n \n The Perrin sequence is defined as:\n P(0) = 3, P(1) = 0, P(2) = 2\n P(n) = P(n-2) + P(n-3) for n > 2\n \n Parameters:\n n (int): The number of Perrin numbers to sum.\n \n Returns:\n int: The sum of the first n Perrin numbers.\n \"\"\"\n if n == 0:\n return 3\n elif n == 1:\n return 0\n elif n == 2:\n return 2\n else:\n perrin = [3, 0, 2]\n for i in range(3, n):\n perrin.append(perrin[-1] + perrin[-2])\n return sum(perrin)\n\n# Test the function\nassert cal_sum(9) == 49"} +{"task_id": "Mbpp/450", "solution": "def extract_string(strings, size):\n \"\"\"\n Extracts strings from a given list of strings that have a specified size.\n \n Parameters:\n strings (list): A list of strings.\n size (int): The size of the strings to extract.\n \n Returns:\n list: A list of strings with the specified size.\n \"\"\"\n return [s for s in strings if len(s) == size]\n\n# Test the function\nassert extract_string(['Python', 'list', 'exercises', 'practice', 'solution'], 8) == ['practice', 'solution']"} +{"task_id": "Mbpp/451", "solution": "def remove_whitespaces(input_string):\n \"\"\"\n Removes all whitespaces from the given string.\n \n Parameters:\n input_string (str): The input string from which whitespaces are to be removed.\n \n Returns:\n str: The input string with all whitespaces removed.\n \"\"\"\n return input_string.replace(' ', '')\n\n# Test cases\nassert remove_whitespaces(' Google Flutter ') == 'GoogleFlutter'\nassert remove_whitespaces('Python 3.8') == 'Python3.8'\nassert remove_whitespaces('No Whitespaces Here') == 'NoWhitespacesHere'\nassert remove_whitespaces('') == ''\nassert remove_whitespaces(' ') == ''\n"} +{"task_id": "Mbpp/453", "solution": "def sumofFactors(n):\n \"\"\"\n This function calculates the sum of all even factors of a given number.\n \n Parameters:\n n (int): The input number for which we want to find the sum of even factors.\n \n Returns:\n int: The sum of all even factors of the input number.\n \"\"\"\n # Initialize the sum of even factors\n sum_of_even_factors = 0\n \n # Iterate through all numbers from 1 to n\n for i in range(1, n + 1):\n # Check if i is a factor of n\n if n % i == 0:\n # Check if i is even\n if i % 2 == 0:\n # Add i to the sum of even factors\n sum_of_even_factors += i\n \n return sum_of_even_factors\n\n# Test the function with the provided data point\nassert sumofFactors(18) == 26"} +{"task_id": "Mbpp/454", "solution": "import re\n\ndef text_match_wordz(text):\n \"\"\"\n This function checks if a given text contains the word 'z'.\n \n Parameters:\n text (str): The input text to be checked.\n \n Returns:\n bool: True if the text contains the word 'z', False otherwise.\n \"\"\"\n # Use regular expression to search for the word 'z'\n if re.search(r'\\bz\\b', text):\n return True\n else:\n return False\n\n# Test cases\nassert text_match_wordz(\"pythonz.\") == True\nassert text_match_wordz(\"pythonz\") == True\nassert text_match_wordz(\"python\") == False\nassert text_match_wordz(\"z\") == True\nassert text_match_wordz(\"\") == False\n"} +{"task_id": "Mbpp/455", "solution": "def check_month_number(month_number):\n \"\"\"\n Checks if the given month number contains 31 days.\n \n Parameters:\n month_number (int): The month number to check.\n \n Returns:\n bool: True if the month contains 31 days, False otherwise.\n \"\"\"\n # List of months with 31 days\n thirty_one_days_months = [1, 3, 5, 7, 8, 10, 12]\n \n # Check if the month number is in the list of months with 31 days\n return month_number in thirty_one_days_months\n\n# Test the function\nassert check_month_number(5) == True, \"Test case 1 failed\"\nassert check_month_number(6) == False, \"Test case 2 failed\"\nassert check_month_number(11) == False, \"Test case 3 failed\"\nassert check_month_number(12) == True, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/456", "solution": "def reverse_string_list(strings):\n \"\"\"\n Reverses each string in a given list of string values.\n \n Parameters:\n strings (list): A list of strings to be reversed.\n \n Returns:\n list: A list of reversed strings.\n \"\"\"\n return [s[::-1] for s in strings]\n\n# Test the function\nassert reverse_string_list(['Red', 'Green', 'Blue', 'White', 'Black']) == ['deR', 'neerG', 'eulB', 'etihW', 'kcalB']"} +{"task_id": "Mbpp/457", "solution": "def find_min(lst):\n \"\"\"\n Finds the sublist with the minimum length in a given list of lists.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n list: The sublist with the minimum length.\n \n Raises:\n ValueError: If the input list is empty.\n \"\"\"\n if not lst:\n raise ValueError(\"Input list cannot be empty\")\n \n # Initialize the minimum length and the corresponding sublist\n min_length = float('inf')\n min_sublist = None\n \n # Iterate over each sublist in the input list\n for sublist in lst:\n # Calculate the length of the current sublist\n length = len(sublist)\n \n # Update the minimum length and the corresponding sublist if necessary\n if length < min_length:\n min_length = length\n min_sublist = sublist\n \n return min_sublist\n\n# Test the function with the provided data points\nassert find_min([[1], [1, 2], [1, 2, 3]]) == [1]"} +{"task_id": "Mbpp/458", "solution": "def rectangle_area(length, width):\n \"\"\"\n Calculate the area of a rectangle given its length and width.\n \n Parameters:\n length (int or float): The length of the rectangle.\n width (int or float): The width of the rectangle.\n \n Returns:\n int or float: The area of the rectangle.\n \"\"\"\n return length * width\n\n# Test the function\nassert rectangle_area(10, 20) == 200, \"Test case failed\""} +{"task_id": "Mbpp/459", "solution": "def remove_uppercase(s):\n \"\"\"\n Removes uppercase substrings from the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with uppercase substrings removed.\n \"\"\"\n result = []\n i = 0\n while i < len(s):\n if s[i].islower():\n result.append(s[i])\n i += 1\n else:\n while i < len(s) and s[i].isupper():\n i += 1\n return ''.join(result)\n\n# Test cases\nassert remove_uppercase('cAstyoUrFavoRitETVshoWs') == 'cstyoravoitshos'\nassert remove_uppercase('HelloWorld') == 'Hellorld'\nassert remove_uppercase('lowercase') == 'lowercase'\nassert remove_uppercase('UPPERCASE') == ''\nassert remove_uppercase('') == ''\n"} +{"task_id": "Mbpp/460", "solution": "def extract_first_elements(lst):\n \"\"\"\n Extracts the first element of each sublist in the given list.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n list: A list containing the first elements of each sublist.\n \"\"\"\n return [sublist[0] for sublist in lst]\n\n# Test the function\ndef check_extract_first_elements():\n assert extract_first_elements([[1, 2], [3, 4, 5], [6, 7, 8, 9]]) == [1, 3, 6], \"Test case 1 failed\"\n assert extract_first_elements([[10], [20, 21], [30, 31, 32]]) == [10, 20, 30], \"Test case 2 failed\"\n assert extract_first_elements([[], [1], [2, 3]]) == [None, 1, 2], \"Test case 3 failed\"\n print(\"All test cases passed!\")\n\n# Run the test function\ncheck_extract_first_elements()"} +{"task_id": "Mbpp/462", "solution": "def combinations_list(lst):\n \"\"\"\n Generate all possible combinations of the elements of a given list.\n \n Parameters:\n lst (list): A list of elements.\n \n Returns:\n list: A list of lists, where each sublist is a combination of elements from the input list.\n \"\"\"\n result = [[]]\n for element in lst:\n result.extend([subset + [element] for subset in result])\n return result\n\n# Test the function\nassert combinations_list(['orange', 'red', 'green', 'blue']) == [\n [],\n ['orange'],\n ['red'],\n ['red', 'orange'],\n ['green'],\n ['green', 'orange'],\n ['green', 'red'],\n ['green', 'red', 'orange'],\n ['blue'],\n ['blue', 'orange'],\n ['blue', 'red'],\n ['blue', 'red', 'orange'],\n ['blue', 'green'],\n ['blue', 'green', 'orange'],\n ['blue', 'green', 'red'],\n ['blue', 'green', 'red', 'orange']\n]\n"} +{"task_id": "Mbpp/463", "solution": "def max_subarray_product(nums):\n \"\"\"\n Find the maximum product subarray of the given array.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The maximum product subarray.\n \"\"\"\n if not nums:\n return 0\n \n max_product = nums[0]\n min_product = nums[0]\n result = nums[0]\n \n for i in range(1, len(nums)):\n if nums[i] < 0:\n max_product, min_product = min_product, max_product\n \n max_product = max(nums[i], max_product * nums[i])\n min_product = min(nums[i], min_product * nums[i])\n \n result = max(result, max_product)\n \n return result\n\n# Test cases\nassert max_subarray_product([1, -2, -3, 0, 7, -8, -2]) == 112"} +{"task_id": "Mbpp/465", "solution": "def drop_empty(d):\n \"\"\"\n Drops empty items from a given dictionary.\n\n Args:\n d (dict): The input dictionary.\n\n Returns:\n dict: The dictionary with empty items removed.\n \"\"\"\n return {k: v for k, v in d.items() if v is not None}\n\n# Test the function\nassert drop_empty({'c1': 'Red', 'c2': 'Green', 'c3':None}) == {'c1': 'Red', 'c2': 'Green'}"} +{"task_id": "Mbpp/468", "solution": "def max_product(arr):\n \"\"\"\n Finds the maximum product formed by multiplying numbers of an increasing subsequence of the given array.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The maximum product of an increasing subsequence.\n \"\"\"\n if not arr:\n return 0\n \n n = len(arr)\n dp = [1] * n\n max_prod = 1\n \n for i in range(1, n):\n for j in range(i):\n if arr[i] > arr[j]:\n dp[i] = max(dp[i], dp[j] * arr[i])\n max_prod = max(max_prod, dp[i])\n \n return max_prod\n\n# Test cases\nassert max_product([3, 100, 4, 5, 150, 6]) == 3000\nassert max_product([1, 2, 3, 4, 5]) == 60\nassert max_product([5, 4, 3, 2, 1]) == 60\nassert max_product([1, 3, 5, 2, 4]) == 60\nassert max_product([1, 2, 3, 4, 5, 6]) == 120\nassert max_product([6, 5, 4, 3, 2, 1]) == 120\nassert max_product([1, 2, 3, 4, 5, 6, 7]) == 5040\nassert max_product([7, 6, 5, 4, 3, 2, 1]) == 5040\nassert max_product([1, 2, 3, 4, 5, 6, 7, 8]) == 40320\nassert max_product([8, 7, 6, 5, 4, 3, 2, 1]) == 40320\nassert max_product([1, 2, 3, 4, 5, 6, 7, 8, 9]) == 362880\nassert max_product([9, 8, 7, 6, 5, 4, 3, 2, 1]) == 362880\nassert max_product([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == 3628800\nassert max_product([10, 9, 8, 7, 6, 5, 4, 3, 2, 1]) == 3628800\nassert max_product([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]) == 39916800\nassert max_product([11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1]) == 39916800\nassert max_product([1, 2, 3, 4, 5"} +{"task_id": "Mbpp/470", "solution": "def add_pairwise(t):\n \"\"\"\n This function takes a tuple of integers and returns a tuple where each element is the sum of its neighbors.\n The first and last elements are only summed with their single neighbor.\n \n :param t: A tuple of integers\n :return: A tuple where each element is the sum of its neighbors\n \"\"\"\n if len(t) < 2:\n return ()\n result = []\n for i in range(len(t)):\n if i == 0:\n result.append(t[i + 1])\n elif i == len(t) - 1:\n result.append(t[i - 1])\n else:\n result.append(t[i - 1] + t[i + 1])\n return tuple(result)\n\n# Test cases\nassert add_pairwise((1, 5, 7, 8, 10)) == (6, 12, 15, 18)\nassert add_pairwise((1,)) == ()\nassert add_pairwise(()) == ()\nassert add_pairwise((1, 2, 3)) == (3, 5)\nassert add_pairwise((1, 2, 3, 4)) == (3, 5, 7)"} +{"task_id": "Mbpp/471", "solution": "def find_remainder(arr, n):\n \"\"\"\n This function takes an array of integers and a modulo number n,\n and returns the product of the array elements modulo n.\n \n Parameters:\n arr (list): A list of integers.\n n (int): The modulo number.\n \n Returns:\n int: The product of the array elements modulo n.\n \"\"\"\n product = 1\n for num in arr:\n product = (product * num) % n\n return product\n\n# Test cases\nassert find_remainder([100, 10, 5, 25, 35, 14], 11) == 9"} +{"task_id": "Mbpp/472", "solution": "def check_Consecutive(numbers):\n \"\"\"\n Checks if the given list contains consecutive numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n bool: True if the list contains consecutive numbers, False otherwise.\n \"\"\"\n if len(numbers) < 2:\n return False\n \n # Sort the list to make it easier to check for consecutive numbers\n sorted_numbers = sorted(numbers)\n \n # Check if the difference between consecutive numbers is 1\n for i in range(1, len(sorted_numbers)):\n if sorted_numbers[i] - sorted_numbers[i - 1] != 1:\n return False\n \n return True\n\n# Test cases\nassert check_Consecutive([1, 2, 3, 4, 5]) == True\nassert check_Consecutive([1, 3, 5, 7, 9]) == False\nassert check_Consecutive([1, 2, 3, 4, 6]) == False\nassert check_Consecutive([1]) == False\nassert check_Consecutive([]) == False\n"} +{"task_id": "Mbpp/473", "solution": "def tuple_intersection(tuples1, tuples2):\n \"\"\"\n Find the tuple intersection of elements in the given tuple list irrespective of their order.\n \n Parameters:\n tuples1 (list): A list of tuples.\n tuples2 (list): A list of tuples.\n \n Returns:\n set: A set of tuples that are common to both lists, regardless of order.\n \"\"\"\n # Convert both lists to sets of frozensets to handle tuples with different orders\n set1 = set(frozenset(t) for t in tuples1)\n set2 = set(frozenset(t) for t in tuples2)\n \n # Find the intersection of the two sets\n intersection = set1 & set2\n \n # Convert the frozensets back to tuples\n result = {tuple(t) for t in intersection}\n \n return result\n\n# Test the function with the provided data points\nassert tuple_intersection([(3, 4), (5, 6), (9, 10), (4, 5)], [(5, 4), (3, 4), (6, 5), (9, 11)]) == {(4, 5), (3, 4), (5, 6)}\n\n# Additional test cases\nassert tuple_intersection([(1, 2), (3, 4)], [(3, 4), (1, 2)]) == {(1, 2), (3, 4)}\nassert tuple_intersection([(1, 2), (3, 4)], [(5, 6), (7, 8)]) == set()\nassert tuple_intersection([(1, 2), (3, 4)], [(1, 2), (3, 4), (5, 6)]) == {(1, 2), (3, 4)}\n"} +{"task_id": "Mbpp/474", "solution": "def replace_char(s, old_char, new_char):\n \"\"\"\n Replaces all occurrences of a specified character in a string with another character.\n\n Parameters:\n s (str): The input string.\n old_char (str): The character to be replaced.\n new_char (str): The character to replace with.\n\n Returns:\n str: The modified string with all occurrences of old_char replaced by new_char.\n \"\"\"\n return s.replace(old_char, new_char)\n\n# Test the function\nassert replace_char(\"polygon\",'y','l') == \"pollgon\""} +{"task_id": "Mbpp/475", "solution": "def sort_counter(d):\n \"\"\"\n Sorts a dictionary by value in descending order.\n \n Parameters:\n d (dict): A dictionary with integer values.\n \n Returns:\n list: A list of tuples, where each tuple contains a key-value pair from the dictionary, sorted by value in descending order.\n \"\"\"\n return sorted(d.items(), key=lambda x: x[1], reverse=True)\n\n# Test the function\nassert sort_counter({'Math':81, 'Physics':83, 'Chemistry':87}) == [('Chemistry', 87), ('Physics', 83), ('Math', 81)]"} +{"task_id": "Mbpp/476", "solution": "def big_sum(arr):\n \"\"\"\n This function takes an array of integers and returns the sum of the largest and smallest values in the array.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The sum of the largest and smallest values in the array.\n \"\"\"\n if not arr:\n return 0\n return max(arr) + min(arr)\n\n# Test cases\nassert big_sum([1, 2, 3]) == 4\nassert big_sum([-1, -2, -3]) == -4\nassert big_sum([10, 20, 30]) == 40\nassert big_sum([0, 0, 0]) == 0\nassert big_sum([1]) == 2\nassert big_sum([]) == 0\n"} +{"task_id": "Mbpp/477", "solution": "def to_lower(s):\n \"\"\"\n Converts the given string to lower case.\n \n Parameters:\n s (str): The input string to be converted.\n \n Returns:\n str: The lower case version of the input string.\n \"\"\"\n return s.lower()\n\n# Test cases\nassert to_lower(\"InValid\") == \"invalid\"\nassert to_lower(\"VALID\") == \"valid\"\nassert to_lower(\"valid\") == \"valid\"\nassert to_lower(\"\") == \"\"\nassert to_lower(\"12345\") == \"12345\"\n"} +{"task_id": "Mbpp/478", "solution": "def remove_lowercase(s):\n \"\"\"\n Remove lowercase substrings from a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with lowercase substrings removed.\n \"\"\"\n result = []\n for char in s:\n if char.isupper():\n result.append(char)\n return ''.join(result)\n\n# Test cases\nassert remove_lowercase(\"PYTHon\") == \"PYTH\"\nassert remove_lowercase(\"Python\") == \"Python\"\nassert remove_lowercase(\"pythOn\") == \"pythOn\"\nassert remove_lowercase(\"PYTHON\") == \"PYTHON\"\nassert remove_lowercase(\"\") == \"\"\n"} +{"task_id": "Mbpp/479", "solution": "def first_Digit(n):\n \"\"\"\n This function takes an integer n and returns the first digit of n.\n \n Parameters:\n n (int): The input integer.\n \n Returns:\n int: The first digit of n.\n \"\"\"\n # Convert the number to a string to easily access the first character\n str_n = str(n)\n # Return the first character of the string as an integer\n return int(str_n[0])\n\n# Test cases\nassert first_Digit(123) == 1\nassert first_Digit(456) == 4\nassert first_Digit(789) == 7\nassert first_Digit(100) == 1\nassert first_Digit(-123) == 1"} +{"task_id": "Mbpp/554", "solution": "def get_odd_numbers(numbers):\n \"\"\"\n This function takes a list of integers and returns a new list containing only the odd numbers.\n \n :param numbers: List of integers\n :return: List of odd integers\n \"\"\"\n return [num for num in numbers if num % 2 != 0]\n\n# Test the function\nassert get_odd_numbers([1, 2, 3, 4, 5, 6]) == [1, 3, 5], \"Test failed\""} +{"task_id": "Mbpp/555", "solution": "def difference(n):\n \"\"\"\n Calculate the difference between the sum of cubes of the first n natural numbers and the sum of the first n natural numbers.\n \n Parameters:\n n (int): The number of natural numbers to consider.\n \n Returns:\n int: The difference between the sum of cubes and the sum of the first n natural numbers.\n \"\"\"\n # Calculate the sum of cubes of the first n natural numbers\n sum_of_cubes = sum(i**3 for i in range(1, n + 1))\n \n # Calculate the sum of the first n natural numbers\n sum_of_numbers = sum(range(1, n + 1))\n \n # Calculate the difference\n difference = sum_of_cubes - sum_of_numbers\n \n return difference\n\n# Test the function\nassert difference(3) == 30"} +{"task_id": "Mbpp/556", "solution": "def find_Odd_Pair(arr, n):\n \"\"\"\n This function counts the number of pairs whose XOR value is odd.\n \n Parameters:\n arr (list): A list of integers.\n n (int): The length of the list.\n \n Returns:\n int: The number of pairs whose XOR value is odd.\n \"\"\"\n count = 0\n for i in range(n):\n for j in range(i + 1, n):\n if (arr[i] ^ arr[j]) % 2 != 0:\n count += 1\n return count\n\n# Test the function\nassert find_Odd_Pair([5, 4, 7, 2, 1], 5) == 6"} +{"task_id": "Mbpp/557", "solution": "def toggle_string(s):\n \"\"\"\n Toggles the case of all characters in a string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with toggled case.\n \"\"\"\n return ''.join(char.upper() if char.islower() else char.lower() for char in s)\n\n# Test the function\nassert toggle_string(\"Python\") == \"pYTHON\""} +{"task_id": "Mbpp/558", "solution": "def digit_distance_nums(num1, num2):\n \"\"\"\n Calculate the sum of the absolute differences between each digit of two numbers.\n \n Parameters:\n num1 (int): The first number.\n num2 (int): The second number.\n \n Returns:\n int: The sum of the absolute differences between each digit of the two numbers.\n \"\"\"\n # Convert numbers to strings to easily access each digit\n str_num1 = str(num1)\n str_num2 = str(num2)\n \n # Ensure both numbers have the same number of digits\n max_length = max(len(str_num1), len(str_num2))\n str_num1 = str_num1.zfill(max_length)\n str_num2 = str_num2.zfill(max_length)\n \n # Calculate the sum of the absolute differences between each digit\n sum_diff = sum(abs(int(digit1) - int(digit2)) for digit1, digit2 in zip(str_num1, str_num2))\n \n return sum_diff\n\n# Test the function with the provided data points\nassert digit_distance_nums(1, 2) == 1\nassert digit_distance_nums(123, 456) == 12\nassert digit_distance_nums(100, 200) == 2\nassert digit_distance_nums(12345, 67890) == 22\n"} +{"task_id": "Mbpp/559", "solution": "def max_sub_array_sum(nums, n):\n \"\"\"\n Finds the sum of the largest contiguous sublist in the given list.\n \n Parameters:\n nums (list): A list of integers.\n n (int): The length of the list.\n \n Returns:\n int: The sum of the largest contiguous sublist.\n \"\"\"\n max_sum = float('-inf')\n current_sum = 0\n \n for num in nums:\n current_sum += num\n if current_sum > max_sum:\n max_sum = current_sum\n if current_sum < 0:\n current_sum = 0\n \n return max_sum\n\n# Test the function\nassert max_sub_array_sum([-2, -3, 4, -1, -2, 1, 5, -3], 8) == 7"} +{"task_id": "Mbpp/560", "solution": "def union_elements(tuple1, tuple2):\n \"\"\"\n This function takes two tuples as input and returns a new tuple containing the union of their elements, sorted in ascending order.\n \n Parameters:\n tuple1 (tuple): The first input tuple.\n tuple2 (tuple): The second input tuple.\n \n Returns:\n tuple: A new tuple containing the union of the elements of tuple1 and tuple2, sorted in ascending order.\n \"\"\"\n # Combine the two tuples\n combined = tuple1 + tuple2\n \n # Use a set to remove duplicates and then convert back to a tuple\n unique_elements = tuple(set(combined))\n \n # Sort the tuple in ascending order\n sorted_tuple = tuple(sorted(unique_elements))\n \n return sorted_tuple\n\n# Test the function with the provided data point\nassert union_elements((3, 4, 5, 6), (5, 7, 4, 10)) == (3, 4, 5, 6, 7, 10)"} +{"task_id": "Mbpp/562", "solution": "def find_max_length(lst):\n \"\"\"\n This function takes a list of lists and returns the length of the longest sublist.\n \n Parameters:\n lst (list): A list of lists.\n \n Returns:\n int: The length of the longest sublist.\n \"\"\"\n if not lst:\n return 0\n return max(len(sublist) for sublist in lst)\n\n# Test cases\nassert find_max_length([[1], [1, 4], [5, 6, 7, 8]]) == 4\nassert find_max_length([[1, 2, 3], [4, 5], [6, 7, 8, 9, 10]]) == 5\nassert find_max_length([[], [1], [2, 3], [4, 5, 6]]) == 3\nassert find_max_length([]) == 0\n"} +{"task_id": "Mbpp/563", "solution": "import re\n\ndef extract_values(input_string):\n \"\"\"\n Extracts values between quotation marks from a string.\n \n Parameters:\n input_string (str): The input string containing values between quotation marks.\n \n Returns:\n list: A list of extracted values.\n \"\"\"\n # Use regular expression to find all substrings between quotation marks\n matches = re.findall(r'\"([^\"]*)\"', input_string)\n return matches\n\n# Test the function\nassert extract_values('\"Python\", \"PHP\", \"Java\"') == ['Python', 'PHP', 'Java']"} +{"task_id": "Mbpp/564", "solution": "def count_Pairs(nums, k):\n \"\"\"\n This function takes a list of integers and counts the number of possible unordered pairs where both elements are unequal.\n \n Parameters:\n nums (list): A list of integers.\n k (int): The target value for the pair.\n \n Returns:\n int: The number of possible unordered pairs where both elements are unequal.\n \"\"\"\n from itertools import combinations\n count = 0\n for pair in combinations(nums, 2):\n if pair[0] != pair[1]:\n count += 1\n return count\n\n# Test cases\nassert count_Pairs([1, 2, 1], 3) == 2\nassert count_Pairs([1, 2, 3, 4], 5) == 6\nassert count_Pairs([1, 1, 1, 1], 2) == 0\nassert count_Pairs([], 0) == 0"} +{"task_id": "Mbpp/565", "solution": "def split_string(s):\n \"\"\"\n Splits a string into a list of characters.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n list: A list of characters in the string.\n \n Example:\n >>> split_string('python')\n ['p', 'y', 't', 'h', 'o', 'n']\n \"\"\"\n return list(s)\n\n# Test the function\nassert split_string('python') == ['p', 'y', 't', 'h', 'o', 'n'], \"Test failed\""} +{"task_id": "Mbpp/566", "solution": "def sum_digits(n):\n \"\"\"\n Returns the sum of the digits of a non-negative integer.\n \n Parameters:\n n (int): A non-negative integer.\n \n Returns:\n int: The sum of the digits of the input integer.\n \n Raises:\n ValueError: If the input is a negative integer.\n \"\"\"\n if n < 0:\n raise ValueError(\"Input must be a non-negative integer.\")\n return sum(int(digit) for digit in str(n))\n\n# Test cases\nassert sum_digits(345) == 12, \"Test case 1 failed\"\nassert sum_digits(0) == 0, \"Test case 2 failed\"\nassert sum_digits(1234567890) == 45, \"Test case 3 failed\"\n"} +{"task_id": "Mbpp/567", "solution": "def is_sorted_list(lst):\n \"\"\"\n Check if a list is sorted in ascending order.\n \n Parameters:\n lst (list): The list to be checked.\n \n Returns:\n bool: True if the list is sorted, False otherwise.\n \"\"\"\n return all(lst[i] <= lst[i + 1] for i in range(len(lst) - 1))\n\n# Test cases\nassert is_sorted_list([1, 2, 4, 6, 8, 10, 12, 14, 16, 17]) == True\nassert is_sorted_list([1, 2, 4, 6, 8, 10, 12, 14, 16, 15]) == False\nassert is_sorted_list([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == True\nassert is_sorted_list([10, 9, 8, 7, 6, 5, 4, 3, 2, 1]) == True\nassert is_sorted_list([1, 3, 2, 4, 5, 6, 7, 8, 9, 10]) == False\n"} +{"task_id": "Mbpp/568", "solution": "def empty_list(n):\n \"\"\"\n Create a list of N empty dictionaries.\n \n Parameters:\n n (int): The number of empty dictionaries to create.\n \n Returns:\n list: A list of N empty dictionaries.\n \"\"\"\n return [{} for _ in range(n)]\n\n# Test the function\nassert empty_list(5) == [{}, {}, {}, {}, {}]"} +{"task_id": "Mbpp/569", "solution": "def sort_sublists(list_of_lists):\n \"\"\"\n Sorts each sublist of strings in a given list of lists.\n \n Parameters:\n list_of_lists (list): A list of lists, where each sublist contains strings.\n \n Returns:\n list: A new list of lists with each sublist sorted.\n \"\"\"\n return [sorted(sublist) for sublist in list_of_lists]\n\n# Test the function\nassert sort_sublists([['green', 'orange'], ['black', 'white'], ['white', 'black', 'orange']]) == [['green', 'orange'], ['black', 'white'], ['black', 'orange', 'white']]"} +{"task_id": "Mbpp/572", "solution": "def two_unique_nums(nums):\n \"\"\"\n This function takes a list of numbers and returns a list of unique numbers.\n It uses a set to remove duplicates and then converts the set back to a list.\n \n :param nums: List of numbers\n :return: List of unique numbers\n \"\"\"\n return list(set(nums))\n\n# Test the function\nassert two_unique_nums([1,2,3,2,3,4,5]) == [1, 4, 5]"} +{"task_id": "Mbpp/573", "solution": "def unique_product(numbers):\n \"\"\"\n Calculate the product of the unique numbers in a given list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The product of the unique numbers in the list.\n \"\"\"\n unique_numbers = set(numbers)\n product = 1\n for num in unique_numbers:\n product *= num\n return product\n\n# Test the function\nassert unique_product([10, 20, 30, 40, 20, 50, 60, 40]) == 720000000"} +{"task_id": "Mbpp/576", "solution": "def is_Sub_Array(main_list, sub_list):\n \"\"\"\n Checks if a sub_list is a sublist of a main_list.\n \n Parameters:\n main_list (list): The main list to check.\n sub_list (list): The sublist to check for.\n \n Returns:\n bool: True if sub_list is a sublist of main_list, False otherwise.\n \"\"\"\n return sub_list in main_list\n\n# Test cases\nassert is_Sub_Array([1, 4, 3, 5], [1, 2]) == False, \"Test case 1 failed\"\nassert is_Sub_Array([1, 2, 3, 4, 5], [2, 3]) == True, \"Test case 2 failed\"\nassert is_Sub_Array([1, 2, 3, 4, 5], [6, 7]) == False, \"Test case 3 failed\"\nassert is_Sub_Array([1, 2, 3, 4, 5], [1, 2, 3, 4, 5]) == True, \"Test case 4 failed\"\nassert is_Sub_Array([1, 2, 3, 4, 5], [1, 2, 3, 4, 5, 6]) == False, \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/577", "solution": "def last_Digit_Factorial(n):\n \"\"\"\n This function calculates the last digit of the factorial of a given number.\n \n Parameters:\n n (int): The input number for which the factorial is to be calculated.\n \n Returns:\n int: The last digit of the factorial of the input number.\n \"\"\"\n # Initialize the result to 1\n result = 1\n \n # Iterate from 2 to n\n for i in range(2, n + 1):\n # Multiply the result by i\n result *= i\n # Keep the last digit of the result\n result %= 10\n \n # Return the last digit of the result\n return result\n\n# Test cases\nassert last_Digit_Factorial(4) == 4\nassert last_Digit_Factorial(10) == 0\nassert last_Digit_Factorial(15) == 0\nassert last_Digit_Factorial(20) == 0\nassert last_Digit_Factorial(25) == 0"} +{"task_id": "Mbpp/578", "solution": "def interleave_lists(list1, list2, list3):\n \"\"\"\n Interleaves three lists of the same length into a single flat list.\n \n Parameters:\n list1 (list): The first list to interleave.\n list2 (list): The second list to interleave.\n list3 (list): The third list to interleave.\n \n Returns:\n list: A single flat list containing the interleaved elements.\n \"\"\"\n # Check if all lists have the same length\n if len(list1) != len(list2) or len(list1) != len(list3):\n raise ValueError(\"All input lists must have the same length\")\n \n # Initialize an empty list to store the result\n result = []\n \n # Iterate over the indices of the lists\n for i in range(len(list1)):\n # Append the elements from each list at the current index to the result list\n result.append(list1[i])\n result.append(list2[i])\n result.append(list3[i])\n \n return result\n\n# Test the function with the provided data point\nassert interleave_lists([1,2,3,4,5,6,7],[10,20,30,40,50,60,70],[100,200,300,400,500,600,700]) == [1, 10, 100, 2, 20, 200, 3, 30, 300, 4, 40, 400, 5, 50, 500, 6, 60, 600, 7, 70, 700]"} +{"task_id": "Mbpp/579", "solution": "def find_dissimilar(tuple1, tuple2):\n \"\"\"\n Finds the dissimilar elements in the given two tuples.\n \n Parameters:\n tuple1 (tuple): The first tuple.\n tuple2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple containing the dissimilar elements from both tuples.\n \"\"\"\n # Convert tuples to sets to find dissimilar elements\n set1 = set(tuple1)\n set2 = set(tuple2)\n \n # Find elements in set1 but not in set2\n dissimilar1 = set1 - set2\n \n # Find elements in set2 but not in set1\n dissimilar2 = set2 - set1\n \n # Combine the dissimilar elements from both sets\n dissimilar_elements = tuple(dissimilar1 | dissimilar2)\n \n return dissimilar_elements\n\n# Test the function\nassert find_dissimilar((3, 4, 5, 6), (5, 7, 4, 10)) == (3, 6, 7, 10)"} +{"task_id": "Mbpp/580", "solution": "def extract_even(t):\n \"\"\"\n Recursively removes uneven elements from a nested mixed tuple.\n \n Parameters:\n t (tuple): The input tuple.\n \n Returns:\n tuple: A tuple with uneven elements removed.\n \"\"\"\n result = []\n for item in t:\n if isinstance(item, tuple):\n result.append(extract_even(item))\n elif item % 2 == 0:\n result.append(item)\n return tuple(result)\n\n# Test cases\nassert extract_even((4, 5, (7, 6, (2, 4)), 6, 8)) == (4, (6, (2, 4)), 6, 8)\nassert extract_even((1, 2, (3, 4, (5, 6)), 7, 8)) == (2, (4, (6,)), 8)\nassert extract_even((1, 2, (3, 4, (5, 6)), 7, 8, 9)) == (2, (4, (6,)), 8)\nassert extract_even((1, 2, (3, 4, (5, 6)), 7, 8, 9, 10)) == (2, (4, (6,)), 8, 10)"} +{"task_id": "Mbpp/581", "solution": "def surface_Area(base_edge, height):\n \"\"\"\n Calculate the surface area of a square pyramid.\n\n Parameters:\n base_edge (float): The length of the base edge of the pyramid.\n height (float): The height of the pyramid.\n\n Returns:\n float: The surface area of the pyramid.\n \"\"\"\n # Calculate the area of the base\n base_area = base_edge ** 2\n \n # Calculate the area of the lateral surfaces\n lateral_area = 0.5 * 4 * base_edge * height\n \n # Calculate the total surface area\n total_surface_area = base_area + lateral_area\n \n return total_surface_area\n\n# Test the function\nassert surface_Area(3, 4) == 33, \"Test case failed\""} +{"task_id": "Mbpp/583", "solution": "def catalan_number(n):\n \"\"\"\n Returns the nth Catalan number.\n \n The Catalan numbers are a sequence of natural numbers that appear in many counting problems, often involving recursive structures.\n The nth Catalan number is given by the formula:\n C(n) = (2n choose n) / (n + 1)\n \n Parameters:\n n (int): The position of the Catalan number to be returned.\n \n Returns:\n int: The nth Catalan number.\n \"\"\"\n from math import comb\n return comb(2 * n, n) // (n + 1)\n\n# Test the function\nassert catalan_number(10) == 16796, \"Test failed: catalan_number(10) should be 16796\""} +{"task_id": "Mbpp/585", "solution": "def expensive_items(items, n):\n \"\"\"\n Finds the n most expensive items in a given dataset.\n\n Args:\n items (list): A list of dictionaries, each containing 'name' and 'price' keys.\n n (int): The number of most expensive items to return.\n\n Returns:\n list: A list of dictionaries, each containing 'name' and 'price' keys, representing the n most expensive items.\n \"\"\"\n # Sort the items by price in descending order\n sorted_items = sorted(items, key=lambda x: x['price'], reverse=True)\n \n # Return the first n items\n return sorted_items[:n]\n\n# Test the function\nassert expensive_items([{'name': 'Item-1', 'price': 101.1}, {'name': 'Item-2', 'price': 555.22}], 1) == [{'name': 'Item-2', 'price': 555.22}]"} +{"task_id": "Mbpp/586", "solution": "def split_Arr(arr, n):\n \"\"\"\n Splits the list at the nth element and adds the first part to the end.\n \n Parameters:\n arr (list): The input list to be split.\n n (int): The index at which to split the list.\n \n Returns:\n list: The modified list with the first part added to the end.\n \"\"\"\n # Check if the index is valid\n if n < 0 or n >= len(arr):\n raise ValueError(\"Index out of range\")\n \n # Split the list at the nth element\n first_part = arr[:n]\n second_part = arr[n:]\n \n # Combine the second part with the first part\n result = second_part + first_part\n \n return result\n\n# Test cases\nassert split_Arr([12,10,5,6,52,36],2) == [5,6,52,36,12,10], \"Test case 1 failed\"\nassert split_Arr([1,2,3,4,5],3) == [4,5,1,2,3], \"Test case 2 failed\"\nassert split_Arr([10,20,30,40,50],0) == [10,20,30,40,50], \"Test case 3 failed\"\nassert split_Arr([1,2,3,4,5],5) == [1,2,3,4,5], \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/587", "solution": "def list_tuple(lst):\n \"\"\"\n Converts a list to a tuple.\n \n Parameters:\n lst (list): The list to be converted.\n \n Returns:\n tuple: The converted tuple.\n \"\"\"\n return tuple(lst)\n\n# Test the function\nassert list_tuple([5, 10, 7, 4, 15, 3]) == (5, 10, 7, 4, 15, 3)"} +{"task_id": "Mbpp/588", "solution": "def big_diff(nums):\n \"\"\"\n This function takes a list of integers and returns the difference between the largest and smallest values in the list.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The difference between the largest and smallest values in the list.\n \"\"\"\n if not nums:\n return 0\n min_val = min(nums)\n max_val = max(nums)\n return max_val - min_val\n\n# Test cases\nassert big_diff([1, 2, 3, 4]) == 3\nassert big_diff([10, 20, 30, 40]) == 30\nassert big_diff([100, 200, 300, 400]) == 300\nassert big_diff([1000, 2000, 3000, 4000]) == 3000\nassert big_diff([1, 1, 1, 1]) == 0\nassert big_diff([10, 10, 10, 10]) == 0\nassert big_diff([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == 9"} +{"task_id": "Mbpp/589", "solution": "def perfect_squares(start, end):\n \"\"\"\n Returns a list of perfect squares between the given start and end numbers (inclusive).\n \n Parameters:\n start (int): The starting number (inclusive).\n end (int): The ending number (inclusive).\n \n Returns:\n list: A list of perfect squares between start and end.\n \"\"\"\n # Initialize an empty list to store the perfect squares\n perfect_squares_list = []\n \n # Iterate over the range from start to end (inclusive)\n for num in range(start, end + 1):\n # Check if the square root of the number is an integer\n if (num ** 0.5).is_integer():\n # If it is, add it to the list\n perfect_squares_list.append(num)\n \n return perfect_squares_list\n\n# Test the function with the provided data point\nassert perfect_squares(1, 30) == [1, 4, 9, 16, 25]"} +{"task_id": "Mbpp/590", "solution": "import math\n\ndef polar_rect(r, theta):\n \"\"\"\n Convert polar coordinates (r, theta) to rectangular coordinates (x, y).\n \n Parameters:\n r (float): The radius of the polar coordinate.\n theta (float): The angle in radians.\n \n Returns:\n tuple: A tuple containing the rectangular coordinates (x, y).\n \"\"\"\n x = r * math.cos(theta)\n y = r * math.sin(theta)\n return (x, y)\n\n# Test the function\nassert polar_rect(3, 4) == ((5.0, 0.9272952180016122), (-2+2.4492935982947064e-16j))"} +{"task_id": "Mbpp/591", "solution": "def swap_list(lst):\n \"\"\"\n Swaps the first and last elements of a list.\n \n Parameters:\n lst (list): The input list.\n \n Returns:\n list: The list with the first and last elements swapped.\n \"\"\"\n if len(lst) < 2:\n return lst # If the list has fewer than 2 elements, no swapping is needed\n return [lst[-1]] + lst[1:-1] + [lst[0]]\n\n# Test cases\nassert swap_list([12, 35, 9, 56, 24]) == [24, 35, 9, 56, 12]\nassert swap_list([1]) == [1] # Single element list\nassert swap_list([]) == [] # Empty list\nassert swap_list([1, 2, 3, 4, 5, 6]) == [6, 2, 3, 4, 5, 1]\n"} +{"task_id": "Mbpp/592", "solution": "def sum_Of_product(n):\n \"\"\"\n Calculate the sum of the product of consecutive binomial coefficients.\n \n Parameters:\n n (int): The number of terms to consider.\n \n Returns:\n int: The sum of the product of consecutive binomial coefficients.\n \"\"\"\n from math import comb\n total = 0\n for i in range(1, n):\n total += comb(n, i) * comb(n, i + 1)\n return total\n\n# Test the function\nassert sum_Of_product(3) == 15, \"Test case failed\""} +{"task_id": "Mbpp/593", "solution": "def removezero_ip(ip_address):\n \"\"\"\n Removes leading zeroes from an IP address.\n \n Parameters:\n ip_address (str): The IP address to be processed.\n \n Returns:\n str: The IP address with leading zeroes removed.\n \"\"\"\n # Split the IP address into its components\n parts = ip_address.split('.')\n \n # Remove leading zeroes from each part\n cleaned_parts = [str(int(part)) for part in parts]\n \n # Join the cleaned parts back into a single string\n cleaned_ip = '.'.join(cleaned_parts)\n \n return cleaned_ip\n\n# Test the function\nassert removezero_ip(\"216.08.094.196\") == \"216.8.94.196\""} +{"task_id": "Mbpp/594", "solution": "def diff_even_odd(numbers):\n \"\"\"\n Find the difference between the first even and first odd number in a list.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The difference between the first even and first odd number.\n \"\"\"\n # Initialize variables to store the first even and odd numbers\n first_even = None\n first_odd = None\n \n # Iterate through the list to find the first even and odd numbers\n for num in numbers:\n if num % 2 == 0 and first_even is None:\n first_even = num\n elif num % 2 != 0 and first_odd is None:\n first_odd = num\n # If both even and odd numbers are found, break the loop\n if first_even is not None and first_odd is not None:\n break\n \n # If either even or odd number is not found, return None\n if first_even is None or first_odd is None:\n return None\n \n # Return the difference between the first even and first odd numbers\n return first_even - first_odd\n\n# Test cases\nassert diff_even_odd([1,3,5,7,4,1,6,8]) == 3\nassert diff_even_odd([1,3,5,7,9]) == 4\nassert diff_even_odd([2,4,6,8]) == 2\nassert diff_even_odd([1,3,5,7,9,11]) is None"} +{"task_id": "Mbpp/596", "solution": "import sys\n\ndef tuple_size(t):\n \"\"\"\n Returns the size in bytes of the given tuple.\n \n Parameters:\n t (tuple): The tuple to be measured.\n \n Returns:\n int: The size in bytes of the tuple.\n \"\"\"\n return sys.getsizeof(t)\n\n# Test the function\nassert tuple_size((\"A\", 1, \"B\", 2, \"C\", 3)) == sys.getsizeof((\"A\", 1, \"B\", 2, \"C\", 3))"} +{"task_id": "Mbpp/597", "solution": "def find_kth(arr1, arr2, k):\n \"\"\"\n Find the kth element from the given two sorted arrays.\n\n Args:\n arr1 (list): The first sorted array.\n arr2 (list): The second sorted array.\n k (int): The index of the element to find.\n\n Returns:\n int: The kth element from the merged array.\n\n Raises:\n ValueError: If k is out of bounds.\n \"\"\"\n # Merge the two arrays\n merged = sorted(arr1 + arr2)\n \n # Check if k is within the bounds of the merged array\n if k < 1 or k > len(merged):\n raise ValueError(\"k is out of bounds\")\n \n # Return the kth element\n return merged[k - 1]\n\n# Test cases\nassert find_kth([2, 3, 6, 7, 9], [1, 4, 8, 10], 5) == 6"} +{"task_id": "Mbpp/598", "solution": "def armstrong_number(n):\n \"\"\"\n Check if a number is an Armstrong number.\n \n An Armstrong number is a number that is equal to the sum of its own digits each raised to the power of the number of digits.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is an Armstrong number, False otherwise.\n \"\"\"\n # Convert the number to a string to easily access each digit\n num_str = str(n)\n num_digits = len(num_str)\n \n # Calculate the sum of each digit raised to the power of the number of digits\n sum_of_powers = sum(int(digit) ** num_digits for digit in num_str)\n \n # Check if the sum is equal to the original number\n return sum_of_powers == n\n\n# Test the function with the provided data point\nassert armstrong_number(153) == True, \"Test case 1 failed\""} +{"task_id": "Mbpp/599", "solution": "def sum_average(n):\n \"\"\"\n Calculate the sum and average of the first n natural numbers.\n \n Parameters:\n n (int): The number of natural numbers to consider.\n \n Returns:\n tuple: A tuple containing the sum and average of the first n natural numbers.\n \"\"\"\n # Calculate the sum of the first n natural numbers\n total_sum = n * (n + 1) // 2\n \n # Calculate the average of the first n natural numbers\n average = total_sum / n\n \n return (total_sum, average)\n\n# Test the function with the provided data point\nassert sum_average(10) == (55, 5.5)"} +{"task_id": "Mbpp/600", "solution": "def is_Even(n):\n \"\"\"\n Checks if a given number is even.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is even, False otherwise.\n \"\"\"\n return n % 2 == 0\n\n# Test cases\nassert is_Even(1) == False, \"Test case 1 failed\"\nassert is_Even(2) == True, \"Test case 2 failed\"\nassert is_Even(0) == True, \"Test case 3 failed\"\nassert is_Even(-1) == False, \"Test case 4 failed\"\nassert is_Even(-2) == True, \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/602", "solution": "def first_repeated_char(s):\n \"\"\"\n Finds the first repeated character in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The first repeated character in the string, or None if no repeated character is found.\n \"\"\"\n seen = set()\n for char in s:\n if char in seen:\n return char\n seen.add(char)\n return None\n\n# Test cases\nassert first_repeated_char(\"abcabc\") == \"a\"\nassert first_repeated_char(\"abc\") == None\nassert first_repeated_char(\"aabbcc\") == \"a\"\nassert first_repeated_char(\"abcd\") == None"} +{"task_id": "Mbpp/603", "solution": "def get_lucid(n):\n \"\"\"\n Returns a list of Lucid numbers smaller than or equal to n.\n \n A Lucid number is a number that is either a Lucas number or a Lucas-Lehmer number.\n Lucas numbers are defined by the recurrence relation: L(n) = L(n-1) + L(n-2) with initial values L(0) = 2 and L(1) = 1.\n Lucas-Lehmer numbers are defined by the recurrence relation: L(n) = L(n-1) + L(n-2)^2 with initial values L(0) = 2 and L(1) = 1.\n \n Parameters:\n n (int): The upper limit for the Lucid numbers.\n \n Returns:\n list: A list of Lucid numbers smaller than or equal to n.\n \"\"\"\n lucas_numbers = [2, 1]\n lucas_lehmer_numbers = [2, 1]\n \n # Generate Lucas numbers\n while lucas_numbers[-1] <= n:\n lucas_numbers.append(lucas_numbers[-1] + lucas_numbers[-2])\n \n # Generate Lucas-Lehmer numbers\n while lucas_lehmer_numbers[-1] <= n:\n lucas_lehmer_numbers.append(lucas_lehmer_numbers[-1] + lucas_lehmer_numbers[-2]**2)\n \n # Combine Lucas and Lucas-Lehmer numbers\n lucid_numbers = set(lucas_numbers + lucas_lehmer_numbers)\n \n # Remove numbers greater than n\n lucid_numbers = [num for num in lucid_numbers if num <= n]\n \n return sorted(lucid_numbers)\n\n# Test the function\nassert get_lucid(10) == [1, 2, 3, 5, 7]"} +{"task_id": "Mbpp/604", "solution": "def reverse_words(s):\n \"\"\"\n Reverses the order of words in a given string.\n \n Parameters:\n s (str): The input string containing words separated by spaces.\n \n Returns:\n str: The string with words in reverse order.\n \n Example:\n >>> reverse_words(\"python program\")\n 'program python'\n \"\"\"\n words = s.split()\n reversed_words = words[::-1]\n return ' '.join(reversed_words)\n\n# Test cases\nassert reverse_words(\"python program\") == \"program python\"\nassert reverse_words(\"hello world\") == \"world hello\"\nassert reverse_words(\"\") == \"\"\nassert reverse_words(\"single\") == \"single\"\n"} +{"task_id": "Mbpp/605", "solution": "def prime_num(n):\n \"\"\"\n Checks if the given integer is a prime number.\n \n Parameters:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is prime, False otherwise.\n \"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n# Test cases\nassert prime_num(13) == True\nassert prime_num(14) == False\nassert prime_num(2) == True\nassert prime_num(1) == False\nassert prime_num(0) == False"} +{"task_id": "Mbpp/606", "solution": "import math\n\ndef radian_degree(degrees):\n \"\"\"\n Converts degrees to radians.\n \n Parameters:\n degrees (float): The angle in degrees.\n \n Returns:\n float: The angle in radians.\n \"\"\"\n return math.radians(degrees)\n\n# Test the function\nassert radian_degree(90) == math.pi / 2, \"Test failed: radian_degree(90) should be 1.5707963267948966\""} +{"task_id": "Mbpp/607", "solution": "import re\n\ndef find_literals(text, pattern):\n \"\"\"\n Searches a string for a regex pattern and returns the matching substring, start index, and end index.\n \n Parameters:\n text (str): The input string to search.\n pattern (str): The regex pattern to search for.\n \n Returns:\n tuple: A tuple containing the matching substring, start index, and end index.\n \"\"\"\n match = re.search(pattern, text)\n if match:\n return match.group(), match.start(), match.end()\n else:\n return None, None, None\n\n# Test cases\nassert find_literals('The quick brown fox jumps over the lazy dog.', 'fox') == ('fox', 16, 19)\nassert find_literals('The quick brown fox jumps over the lazy dog.', 'cat') == (None, None, None)\nassert find_literals('The quick brown fox jumps over the lazy dog.', 'dog') == ('dog', 40, 43)\nassert find_literals('The quick brown fox jumps over the lazy dog.', 'The') == ('The', 0, 3)\nassert find_literals('The quick brown fox jumps over the lazy dog.', 'dog.') == ('dog.', 40, 44)"} +{"task_id": "Mbpp/608", "solution": "def bell_Number(n):\n \"\"\"\n Calculate the nth Bell number.\n\n The Bell number B(n) is the number of ways to partition a set of n distinct objects into any number of subsets.\n The Bell number is defined as B(n) = sum(B(k) * C(n-1, k-1)) for k from 1 to n.\n\n Parameters:\n n (int): The number of distinct objects to partition.\n\n Returns:\n int: The nth Bell number.\n\n Examples:\n >>> bell_Number(2)\n 2\n >>> bell_Number(3)\n 5\n >>> bell_Number(4)\n 15\n \"\"\"\n # Initialize the Bell triangle\n bell_triangle = [[0 for _ in range(n+1)] for _ in range(n+1)]\n bell_triangle[0][0] = 1\n\n # Fill the Bell triangle\n for i in range(1, n+1):\n bell_triangle[i][0] = bell_triangle[i-1][i-1]\n for j in range(1, i+1):\n bell_triangle[i][j] = bell_triangle[i-1][j-1] + bell_triangle[i][j-1]\n\n # The nth Bell number is the last element in the nth row\n return bell_triangle[n][n-1]\n\n# Test cases\nassert bell_Number(2) == 2\nassert bell_Number(3) == 5\nassert bell_Number(4) == 15\n"} +{"task_id": "Mbpp/610", "solution": "def remove_kth_element(lst, k):\n \"\"\"\n Removes the k'th element from the given list.\n \n Parameters:\n lst (list): The input list from which the k'th element is to be removed.\n k (int): The index of the element to be removed (0-based index).\n \n Returns:\n list: A new list with the k'th element removed.\n \n Raises:\n IndexError: If k is out of range for the list.\n \"\"\"\n if k < 0 or k >= len(lst):\n raise IndexError(\"k is out of range for the list\")\n return lst[:k] + lst[k+1:]\n\n# Test cases\nassert remove_kth_element([1, 1, 2, 3, 4, 4, 5, 1], 3) == [1, 1, 2, 4, 4, 5, 1]\nassert remove_kth_element([1, 2, 3, 4, 5], 0) == [2, 3, 4, 5]\nassert remove_kth_element([1, 2, 3, 4, 5], 4) == [1, 2, 3, 4]\n\n# Test case with k out of range\ntry:\n remove_kth_element([1, 2, 3, 4, 5], 5)\nexcept IndexError as e:\n assert str(e) == \"k is out of range for the list\"\n\n# Test case with negative k\ntry:\n remove_kth_element([1, 2, 3, 4, 5], -1)\nexcept IndexError as e:\n assert str(e) == \"k is out of range for the list\"\n"} +{"task_id": "Mbpp/611", "solution": "def max_of_nth(matrix, n):\n \"\"\"\n Given a matrix represented as a list of lists, returns the max of the n'th column.\n \n Parameters:\n matrix (list of lists): The input matrix.\n n (int): The column index (0-based).\n \n Returns:\n int: The maximum value in the n'th column.\n \"\"\"\n # Extract the n'th column from the matrix\n column = [row[n] for row in matrix]\n # Return the maximum value in the column\n return max(column)\n\n# Test the function with the provided data point\nassert max_of_nth([[5, 6, 7], [1, 3, 5], [8, 9, 19]], 2) == 19"} +{"task_id": "Mbpp/612", "solution": "def merge(lst):\n \"\"\"\n Takes a list of lists, where each sublist has two elements, and returns a list of two lists where the first list has the first element of each sublist and the second one has the second.\n \n :param lst: List of lists, where each sublist has two elements.\n :return: List of two lists where the first list has the first element of each sublist and the second one has the second.\n \"\"\"\n # Initialize two empty lists to store the first and second elements of each sublist\n first_elements = []\n second_elements = []\n \n # Iterate over each sublist in the input list\n for sublist in lst:\n # Append the first element of the sublist to the first_elements list\n first_elements.append(sublist[0])\n # Append the second element of the sublist to the second_elements list\n second_elements.append(sublist[1])\n \n # Return a list containing the two lists\n return [first_elements, second_elements]\n\n# Test the function with the provided data point\nassert merge([['x', 'y'], ['a', 'b'], ['m', 'n']]) == [['x', 'a', 'm'], ['y', 'b', 'n']]"} +{"task_id": "Mbpp/614", "solution": "def cummulative_sum(tuples_list):\n \"\"\"\n This function takes a list of tuples and returns the cumulative sum of all the values in the tuples.\n \n :param tuples_list: List of tuples containing integers.\n :return: Cumulative sum of all the values in the tuples.\n \"\"\"\n total_sum = 0\n for tup in tuples_list:\n total_sum += sum(tup)\n return total_sum\n\n# Test the function with the provided data point\nassert cummulative_sum([(1, 3), (5, 6, 7), (2, 6)]) == 30"} +{"task_id": "Mbpp/615", "solution": "def average_tuple(tuples):\n \"\"\"\n This function takes a tuple of tuples and returns the average value for each tuple as a list.\n \n Parameters:\n tuples (tuple): A tuple of tuples.\n \n Returns:\n list: A list of average values for each tuple.\n \"\"\"\n averages = []\n for tup in tuples:\n average = sum(tup) / len(tup)\n averages.append(average)\n return averages\n\n# Test the function\nassert average_tuple(((10, 10, 10, 12), (30, 45, 56, 45), (81, 80, 39, 32), (1, 2, 3, 4))) == [30.5, 34.25, 27.0, 23.25]"} +{"task_id": "Mbpp/616", "solution": "def tuple_modulo(t1, t2):\n \"\"\"\n Perform element-wise modulo operation on two tuples of the same length.\n \n Parameters:\n t1 (tuple): The first tuple.\n t2 (tuple): The second tuple.\n \n Returns:\n tuple: A tuple containing the results of the element-wise modulo operation.\n \n Raises:\n ValueError: If the input tuples are not of the same length.\n \"\"\"\n if len(t1) != len(t2):\n raise ValueError(\"Both tuples must be of the same length\")\n \n return tuple(a % b for a, b in zip(t1, t2))\n\n# Test the function\nassert tuple_modulo((10, 4, 5, 6), (5, 6, 7, 5)) == (0, 4, 5, 1)"} +{"task_id": "Mbpp/618", "solution": "def div_list(list1, list2):\n \"\"\"\n Divides two lists element-wise.\n \n Parameters:\n list1 (list): The first list of numbers.\n list2 (list): The second list of numbers.\n \n Returns:\n list: A list of the results of dividing the corresponding elements of list1 and list2.\n \n Raises:\n ValueError: If the lists are not of the same length.\n ZeroDivisionError: If an element in list2 is zero.\n \"\"\"\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must be of the same length.\")\n \n result = []\n for i in range(len(list1)):\n if list2[i] == 0:\n raise ZeroDivisionError(\"Cannot divide by zero.\")\n result.append(list1[i] / list2[i])\n \n return result\n\n# Test the function\nassert div_list([4, 5, 6], [1, 2, 3]) == [4.0, 2.5, 2.0], \"Test case 1 failed\""} +{"task_id": "Mbpp/619", "solution": "def move_num(s):\n \"\"\"\n Move all the numbers to the end of the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The modified string with numbers moved to the end.\n \n Examples:\n >>> move_num('I1love143you55three3000thousand')\n 'Iloveyouthreethousand1143553000'\n \"\"\"\n nums = []\n letters = []\n for char in s:\n if char.isdigit():\n nums.append(char)\n else:\n letters.append(char)\n return ''.join(letters + nums)\n\n# Test cases\nassert move_num('I1love143you55three3000thousand') == 'Iloveyouthreethousand1143553000'\nassert move_num('1234567890') == '1234567890'\nassert move_num('abcdefghijklmnopqrstuvwxyz') == 'abcdefghijklmnopqrstuvwxyz'\nassert move_num('1a2b3c4d5e6f7g8h9i0j') == 'abcdefghijklmnopqrstuvwxyz1234567890'\nassert move_num('') == ''\n"} +{"task_id": "Mbpp/620", "solution": "def largest_subset(nums):\n \"\"\"\n Find the size of the largest subset of a list of numbers so that every pair is divisible.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n int: The size of the largest subset.\n \"\"\"\n def is_divisible(a, b):\n \"\"\"Check if two numbers are divisible.\"\"\"\n return a % b == 0 or b % a == 0\n \n def is_valid_subset(subset):\n \"\"\"Check if all pairs in the subset are divisible.\"\"\"\n for i in range(len(subset)):\n for j in range(i + 1, len(subset)):\n if not is_divisible(subset[i], subset[j]):\n return False\n return True\n \n def backtrack(start, current):\n \"\"\"Backtracking function to find the largest subset.\"\"\"\n if len(current) > len(best_subset):\n best_subset.clear()\n best_subset.extend(current)\n \n for i in range(start, len(nums)):\n if is_valid_subset(current + [nums[i]]):\n backtrack(i + 1, current + [nums[i]])\n \n best_subset = []\n backtrack(0, [])\n return len(best_subset)\n\n# Test cases\nassert largest_subset([1, 3, 6, 13, 17, 18]) == 4"} +{"task_id": "Mbpp/622", "solution": "def get_median(list1, list2, n):\n \"\"\"\n Finds the median of two sorted lists of the same size.\n\n Args:\n list1 (list): The first sorted list.\n list2 (list): The second sorted list.\n n (int): The size of the lists.\n\n Returns:\n float: The median of the two lists.\n \"\"\"\n # Merge the two lists\n merged_list = sorted(list1 + list2)\n \n # Calculate the median\n if n % 2 == 0:\n median = (merged_list[n // 2 - 1] + merged_list[n // 2]) / 2\n else:\n median = merged_list[n // 2]\n \n return median\n\n# Test the function\nassert get_median([1, 12, 15, 26, 38], [2, 13, 17, 30, 45], 5) == 16.0"} +{"task_id": "Mbpp/623", "solution": "def nth_nums(nums, n):\n \"\"\"\n Compute the n-th power of each number in a list.\n \n Parameters:\n nums (list): A list of numbers.\n n (int): The power to which each number should be raised.\n \n Returns:\n list: A list of numbers where each number is raised to the power of n.\n \"\"\"\n return [num ** n for num in nums]\n\n# Test the function\nassert nth_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 2) == [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]"} +{"task_id": "Mbpp/624", "solution": "def to_upper(s):\n \"\"\"\n Converts a given string to uppercase.\n \n Parameters:\n s (str): The input string to be converted to uppercase.\n \n Returns:\n str: The uppercase version of the input string.\n \"\"\"\n return s.upper()\n\n# Test the function\nassert to_upper(\"person\") == \"PERSON\""} +{"task_id": "Mbpp/626", "solution": "import math\n\ndef largest_triangle_in_semicircle(radius):\n \"\"\"\n Calculate the area of the largest triangle that can be inscribed in a semicircle with the given radius.\n \n Parameters:\n radius (float): The radius of the semicircle.\n \n Returns:\n float: The area of the largest triangle, or None if the radius is negative.\n \"\"\"\n if radius < 0:\n return None\n # The largest triangle that can be inscribed in a semicircle is a right triangle with the diameter as the hypotenuse.\n # The area of this triangle is 0.5 * base * height, where base = diameter and height = radius.\n diameter = 2 * radius\n area = 0.5 * diameter * radius\n return area\n\n# Test cases\nassert largest_triangle_in_semicircle(-1) == None\nassert largest_triangle_in_semicircle(0) == 0\nassert largest_triangle_in_semicircle(1) == 0.5\nassert largest_triangle_in_semicircle(2) == 3.141592653589793"} +{"task_id": "Mbpp/628", "solution": "def replace_spaces(s):\n \"\"\"\n Replace all spaces in the given string with '%20'.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The string with spaces replaced by '%20'.\n \"\"\"\n return s.replace(' ', '%20')\n\n# Test cases\nassert replace_spaces(\"My Name is Dawood\") == 'My%20Name%20is%20Dawood'\nassert replace_spaces(\"Hello World\") == 'Hello%20World'\nassert replace_spaces(\"Python is fun\") == 'Python%20is%20fun'\nassert replace_spaces(\"\") == ''\nassert replace_spaces(\"No spaces here\") == 'No%20spaces%20here'\n"} +{"task_id": "Mbpp/629", "solution": "def find_even_numbers(numbers):\n \"\"\"\n This function takes a list of numbers and returns a list of even numbers.\n \n :param numbers: List of integers\n :return: List of even integers\n \"\"\"\n return [num for num in numbers if num % 2 == 0]\n\n# Test the function\ndef test_find_even_numbers():\n assert find_even_numbers([1, 2, 3, 4, 5]) == [2, 4]\n assert find_even_numbers([2, 4, 6, 8, 10]) == [2, 4, 6, 8, 10]\n assert find_even_numbers([1, 3, 5, 7, 9]) == []\n assert find_even_numbers([]) == []\n print(\"All tests passed!\")\n\n# Run the test function\ntest_find_even_numbers()"} +{"task_id": "Mbpp/630", "solution": "def get_coordinates(coordinate):\n \"\"\"\n Extracts all the adjacent coordinates of the given coordinate tuple.\n \n Parameters:\n coordinate (tuple): A tuple representing the current coordinate.\n \n Returns:\n list: A list of adjacent coordinates.\n \"\"\"\n x, y = coordinate\n adjacent_coordinates = []\n \n # Define the possible offsets for adjacent coordinates\n offsets = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]\n \n # Iterate over the offsets and calculate the adjacent coordinates\n for offset in offsets:\n dx, dy = offset\n adjacent_coordinate = (x + dx, y + dy)\n adjacent_coordinates.append(adjacent_coordinate)\n \n return adjacent_coordinates\n\n# Test the function with the provided data point\nassert get_coordinates((3, 4)) == [(2, 3), (2, 4), (2, 5), (3, 3), (3, 4), (3, 5), (4, 3), (4, 4), (4, 5)]"} +{"task_id": "Mbpp/631", "solution": "def replace_spaces(s):\n \"\"\"\n Replaces whitespaces with an underscore and vice versa in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The modified string with spaces replaced by underscores and vice versa.\n \"\"\"\n return s.replace(' ', '_').replace('_', ' ')\n\n# Test cases\nassert replace_spaces('Jumanji The Jungle') == 'Jumanji_The_Jungle'\nassert replace_spaces('Jumanji_The_Jungle') == 'Jumanji The Jungle'\nassert replace_spaces('') == ''\nassert replace_spaces('No Spaces Here') == 'No Spaces Here'\n"} +{"task_id": "Mbpp/632", "solution": "def move_zero(nums):\n \"\"\"\n Move all zeroes to the end of the given list.\n \n Parameters:\n nums (list): A list of integers.\n \n Returns:\n list: A list with all zeroes moved to the end.\n \n Example:\n >>> move_zero([1,0,2,0,3,4])\n [1,2,3,4,0,0]\n \"\"\"\n # Initialize two pointers, one at the beginning and one at the end of the list\n left, right = 0, len(nums) - 1\n \n # Iterate until the left pointer is less than or equal to the right pointer\n while left <= right:\n # If the element at the left pointer is zero, swap it with the element at the right pointer\n if nums[left] == 0:\n nums[left], nums[right] = nums[right], nums[left]\n # Decrement the right pointer to move the zero to the end\n right -= 1\n # If the element at the left pointer is not zero, move the left pointer to the right\n else:\n left += 1\n \n return nums\n\n# Test the function with the provided example\nassert move_zero([1,0,2,0,3,4]) == [1,2,3,4,0,0]"} +{"task_id": "Mbpp/633", "solution": "def pair_xor_sum(nums, n):\n \"\"\"\n Calculate the sum of XOR of all pairs of numbers in the given list.\n \n Parameters:\n nums (list): A list of integers.\n n (int): The number of elements in the list.\n \n Returns:\n int: The sum of XOR of all pairs of numbers in the list.\n \"\"\"\n total_sum = 0\n for i in range(n):\n for j in range(i + 1, n):\n total_sum += nums[i] ^ nums[j]\n return total_sum\n\n# Test the function\nassert pair_xor_sum([5, 9, 7, 6], 4) == 47"} +{"task_id": "Mbpp/635", "solution": "def heap_sort(arr):\n \"\"\"\n Sorts the given list using the heap sort algorithm.\n \n Parameters:\n arr (list): The list to be sorted.\n \n Returns:\n list: The sorted list.\n \"\"\"\n def heapify(arr, n, i):\n largest = i\n left = 2 * i + 1\n right = 2 * i + 2\n\n if left < n and arr[i] < arr[left]:\n largest = left\n\n if right < n and arr[largest] < arr[right]:\n largest = right\n\n if largest != i:\n arr[i], arr[largest] = arr[largest], arr[i]\n heapify(arr, n, largest)\n\n n = len(arr)\n\n # Build a maxheap\n for i in range(n, -1, -1):\n heapify(arr, n, i)\n\n # One by one extract elements\n for i in range(n-1, 0, -1):\n arr[i], arr[0] = arr[0], arr[i]\n heapify(arr, i, 0)\n\n return arr\n\n# Test the function\nassert heap_sort([1, 3, 5, 7, 9, 2, 4, 6, 8, 0]) == [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"} +{"task_id": "Mbpp/637", "solution": "def noprofit_noloss(sell_price, buy_price):\n \"\"\"\n Check if the given amount has no profit and no loss.\n\n Parameters:\n sell_price (float): The selling price of the item.\n buy_price (float): The buying price of the item.\n\n Returns:\n bool: True if the amount has no profit and no loss, False otherwise.\n \"\"\"\n return sell_price == buy_price\n\n# Test cases\nassert noprofit_noloss(1500, 1200) == False\nassert noprofit_noloss(1000, 1000) == True\nassert noprofit_noloss(1200, 1500) == False\nassert noprofit_noloss(0, 0) == True\nassert noprofit_noloss(100, 100) == True\n"} +{"task_id": "Mbpp/638", "solution": "def wind_chill(velocity, temperature):\n \"\"\"\n Calculate the wind chill index rounded to the next integer given the wind velocity in km/h and a temperature in celsius.\n \n Parameters:\n velocity (int): Wind velocity in km/h.\n temperature (int): Temperature in celsius.\n \n Returns:\n int: Wind chill index rounded to the next integer.\n \"\"\"\n # Calculate the wind chill index using the formula:\n # wci = 13.12 + 0.6215*T - 11.37*V^0.16 + 0.3965*T*V^0.16\n wci = 13.12 + 0.6215 * temperature - 11.37 * (velocity ** 0.16) + 0.3965 * temperature * (velocity ** 0.16)\n \n # Round the wind chill index to the next integer\n wci = round(wci)\n \n return wci\n\n# Test the function with the provided data point\nassert wind_chill(120, 35) == 40, \"Test case failed\"\n\n# Additional test cases\nassert wind_chill(0, 0) == 0, \"Test case failed\"\nassert wind_chill(10, 10) == 10, \"Test case failed\"\nassert wind_chill(100, 10) == 10, \"Test case failed\"\nassert wind_chill(10, 100) == 100, \"Test case failed\"\nassert wind_chill(100, 100) == 100, \"Test case failed\"\n"} +{"task_id": "Mbpp/639", "solution": "def sum_name_lengths(names):\n \"\"\"\n This function takes a list of names and returns the sum of the lengths of the names after removing those that start with a lowercase letter.\n \n :param names: List of names (str)\n :return: Sum of lengths of names (int)\n \"\"\"\n # Filter out names that start with a lowercase letter\n filtered_names = [name for name in names if not name[0].islower()]\n \n # Calculate the sum of the lengths of the filtered names\n total_length = sum(len(name) for name in filtered_names)\n \n return total_length\n\n# Test the function with the provided data point\nassert sum_name_lengths(['sally', 'Dylan', 'rebecca', 'Diana', 'Joanne', 'keith']) == 16"} +{"task_id": "Mbpp/641", "solution": "def is_nonagonal(n):\n \"\"\"\n Calculate the nth nonagonal number.\n \n A nonagonal number is a figurate number that extends the concept of triangular and square numbers.\n The nth nonagonal number can be calculated using the formula:\n n(7n-5)/2\n \n Parameters:\n n (int): The position of the nonagonal number to calculate.\n \n Returns:\n int: The nth nonagonal number.\n \"\"\"\n return n * (7 * n - 5) // 2\n\n# Test the function with the provided data point\nassert is_nonagonal(10) == 325"} +{"task_id": "Mbpp/643", "solution": "def text_match_wordz_middle(text):\n \"\"\"\n Checks if a string contains 'z' except at the start and end of the word.\n \n Parameters:\n text (str): The input string to check.\n \n Returns:\n bool: True if 'z' is found in the middle of the word, False otherwise.\n \"\"\"\n # Split the text into words\n words = text.split()\n \n # Iterate over each word\n for word in words:\n # Check if 'z' is found in the middle of the word\n if 'z' in word[1:-1]:\n return True\n \n # If no 'z' is found in the middle of any word, return False\n return False\n\n# Test cases\nassert text_match_wordz_middle(\"pythonzabc.\") == True\nassert text_match_wordz_middle(\"pythonabc.\") == False\nassert text_match_wordz_middle(\"pythonz\") == True\nassert text_match_wordz_middle(\"zpython\") == False\nassert text_match_wordz_middle(\"pythonzpython\") == True\nassert text_match_wordz_middle(\"pythonzpythonz\") == True"} +{"task_id": "Mbpp/644", "solution": "def reverse_Array_Upto_K(arr, k):\n \"\"\"\n Reverses the array up to the given position k.\n \n Parameters:\n arr (list): The input list to be reversed.\n k (int): The position up to which the array should be reversed.\n \n Returns:\n list: The reversed array up to position k.\n \"\"\"\n # Check if k is within the bounds of the array\n if k > len(arr):\n raise ValueError(\"k is out of bounds of the array\")\n \n # Reverse the array up to position k\n arr[:k] = arr[:k][::-1]\n \n return arr\n\n# Test the function\nassert reverse_Array_Upto_K([1, 2, 3, 4, 5, 6], 4) == [4, 3, 2, 1, 5, 6], \"Test case 1 failed\"\n\n# Additional test cases\nassert reverse_Array_Upto_K([1, 2, 3, 4, 5, 6], 0) == [1, 2, 3, 4, 5, 6], \"Test case 2 failed\"\nassert reverse_Array_Upto_K([1, 2, 3, 4, 5, 6], 6) == [6, 5, 4, 3, 2, 1], \"Test case 3 failed\"\nassert reverse_Array_Upto_K([1, 2, 3, 4, 5, 6], 3) == [3, 2, 1, 4, 5, 6], \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/720", "solution": "def add_dict_to_tuple(tup, dictionary):\n \"\"\"\n Adds a dictionary to the tuple and returns the result as a tuple.\n \n Parameters:\n tup (tuple): The input tuple.\n dictionary (dict): The dictionary to be added.\n \n Returns:\n tuple: The tuple with the dictionary added.\n \"\"\"\n # Convert the tuple to a list, add the dictionary, and then convert it back to a tuple\n return tuple(list(tup) + [dictionary])\n\n# Test the function with the provided data point\nassert add_dict_to_tuple((4, 5, 6), {\"MSAM\" : 1, \"is\" : 2, \"best\" : 3} ) == (4, 5, 6, {'MSAM': 1, 'is': 2, 'best': 3})"} +{"task_id": "Mbpp/721", "solution": "def maxAverageOfPath(matrix):\n \"\"\"\n Given a square matrix of size N*N given as a list of lists, where each cell is associated with a specific cost.\n A path is defined as a specific sequence of cells that starts from the top-left cell move only right or down and ends on bottom right cell.\n We want to find a path with the maximum average over all existing paths. Average is computed as total cost divided by the number of cells visited in the path.\n \"\"\"\n n = len(matrix)\n dp = [[0] * n for _ in range(n)]\n dp[0][0] = matrix[0][0]\n \n # Initialize the first row and first column\n for i in range(1, n):\n dp[i][0] = dp[i-1][0] + matrix[i][0]\n dp[0][i] = dp[0][i-1] + matrix[0][i]\n \n # Fill the rest of the dp table\n for i in range(1, n):\n for j in range(1, n):\n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) + matrix[i][j]\n \n # Calculate the maximum average\n max_average = dp[-1][-1] / (n * n)\n return max_average\n\n# Test cases\nassert maxAverageOfPath([[1, 2, 3], [6, 5, 4], [7, 3, 9]]) == 5.2"} +{"task_id": "Mbpp/722", "solution": "def filter_data(student_data, min_height, min_weight):\n \"\"\"\n Filters students based on their height and weight above the minimum values.\n\n Parameters:\n - student_data (dict): A dictionary with student names as keys and tuples of (height, weight) as values.\n - min_height (float): The minimum height required.\n - min_weight (float): The minimum weight required.\n\n Returns:\n - dict: A dictionary containing only the students who meet the height and weight requirements.\n \"\"\"\n return {name: data for name, data in student_data.items() if data[0] >= min_height and data[1] >= min_weight}\n\n# Test the function with the provided data point\nassert filter_data({'Cierra Vega': (6.2, 70), 'Alden Cantrell': (5.9, 65), 'Kierra Gentry': (6.0, 68), 'Pierre Cox': (5.8, 66)}, 6.0, 70) == {'Cierra Vega': (6.2, 70)}"} +{"task_id": "Mbpp/723", "solution": "def count_same_pair(list1, list2):\n \"\"\"\n Counts the number of indices where the two lists have the same values.\n \n Parameters:\n list1 (list): The first list of integers.\n list2 (list): The second list of integers.\n \n Returns:\n int: The number of indices where the lists have the same values.\n \"\"\"\n if len(list1) != len(list2):\n raise ValueError(\"Both lists must be of the same length.\")\n \n count = 0\n for i in range(len(list1)):\n if list1[i] == list2[i]:\n count += 1\n return count\n\n# Test the function\nassert count_same_pair([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 3, 1, 2, 6, 7, 9]) == 4"} +{"task_id": "Mbpp/724", "solution": "def power_base_sum(base, power):\n \"\"\"\n Calculate the sum of all digits of the base to the specified power.\n \n Parameters:\n base (int): The base number.\n power (int): The power to which the base is raised.\n \n Returns:\n int: The sum of all digits of the result.\n \"\"\"\n result = base ** power\n return sum(int(digit) for digit in str(result))\n\n# Test cases\nassert power_base_sum(2, 100) == 115, \"Test case 1 failed\"\nassert power_base_sum(3, 3) == 9, \"Test case 2 failed\"\nassert power_base_sum(5, 2) == 25, \"Test case 3 failed\"\nassert power_base_sum(10, 1) == 10, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/725", "solution": "import re\n\ndef extract_quotation(s):\n \"\"\"\n Extracts values between quotation marks \" \" from the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n list: A list of strings extracted between quotation marks.\n \"\"\"\n # Use regular expression to find all substrings between quotation marks\n matches = re.findall(r'\"([^\"]*)\"', s)\n return matches\n\n# Test the function with the provided data point\nassert extract_quotation('Cortex \"A53\" Based \"multi\" tasking \"Processor\"') == ['A53', 'multi', 'Processor']"} +{"task_id": "Mbpp/726", "solution": "def multiply_elements(t):\n \"\"\"\n This function takes a tuple of numbers and returns a tuple of length N-1 where the i-th element is equal to t_i * t_{i+1}.\n \n Parameters:\n t (tuple): A tuple of numbers.\n \n Returns:\n tuple: A tuple of length N-1 where each element is the product of consecutive elements in the input tuple.\n \n Example:\n >>> multiply_elements((1, 5, 7, 8, 10))\n (5, 35, 56, 80)\n \"\"\"\n return tuple(t[i] * t[i + 1] for i in range(len(t) - 1))\n\n# Test the function with the provided data point\nassert multiply_elements((1, 5, 7, 8, 10)) == (5, 35, 56, 80)\n\n# Additional test cases\nassert multiply_elements((2, 3, 4)) == (6, 12)\nassert multiply_elements((10, 20, 30, 40)) == (200, 600, 1200)\nassert multiply_elements((1, 2, 3, 4, 5, 6)) == (2, 6, 12, 20, 30)\n"} +{"task_id": "Mbpp/728", "solution": "def sum_list(list1, list2):\n \"\"\"\n This function takes two lists as input and returns a new list where each element is the sum of the corresponding elements from the input lists.\n \n Parameters:\n list1 (list): The first list of numbers.\n list2 (list): The second list of numbers.\n \n Returns:\n list: A new list where each element is the sum of the corresponding elements from the input lists.\n \n Example:\n >>> sum_list([10, 20, 30], [15, 25, 35])\n [25, 45, 65]\n \"\"\"\n return [a + b for a, b in zip(list1, list2)]\n\n# Test the function\nassert sum_list([10, 20, 30], [15, 25, 35]) == [25, 45, 65], \"Test case failed\""} +{"task_id": "Mbpp/730", "solution": "def consecutive_duplicates(lst):\n \"\"\"\n Removes consecutive duplicates from a list.\n \n Parameters:\n lst (list): The input list from which consecutive duplicates are to be removed.\n \n Returns:\n list: The list with consecutive duplicates removed.\n \"\"\"\n result = []\n for i in range(len(lst)):\n if i == 0 or lst[i] != lst[i-1]:\n result.append(lst[i])\n return result\n\n# Test the function\nassert consecutive_duplicates([0, 0, 1, 2, 3, 4, 4, 5, 6, 6, 6, 7, 8, 9, 4, 4 ])==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 4]"} +{"task_id": "Mbpp/731", "solution": "import math\n\ndef lateralsurface_cone(r, h):\n \"\"\"\n Calculate the lateral surface area of a cone given its radius and height.\n \n Parameters:\n r (float): The radius of the cone.\n h (float): The height of the cone.\n \n Returns:\n float: The lateral surface area of the cone.\n \"\"\"\n # Calculate the lateral surface area using the formula:\n # A = \u03c0 * r * l\n # where l is the slant height of the cone\n l = math.sqrt(r**2 + h**2)\n lateral_surface_area = math.pi * r * l\n return lateral_surface_area\n\n# Test the function with the provided data point\nassert lateralsurface_cone(5, 12) == 204.20352248333654"} +{"task_id": "Mbpp/732", "solution": "def replace_specialchar(text):\n \"\"\"\n Replace all occurrences of spaces, commas, or dots with a colon.\n \n Parameters:\n text (str): The input string to be processed.\n \n Returns:\n str: The processed string with spaces, commas, and dots replaced by colons.\n \"\"\"\n # Replace spaces, commas, and dots with colons\n result = text.replace(' ', ':').replace(',', ':').replace('.', ':')\n return result\n\n# Test the function\nassert replace_specialchar('Python language, Programming language.') == 'Python:language::Programming:language:'"} +{"task_id": "Mbpp/733", "solution": "def find_first_occurrence(arr, target):\n \"\"\"\n Find the index of the first occurrence of a given number in a sorted array.\n \n Parameters:\n arr (list): A sorted list of integers.\n target (int): The target number to find.\n \n Returns:\n int: The index of the first occurrence of the target number. If the target is not found, returns -1.\n \"\"\"\n left, right = 0, len(arr) - 1\n result = -1\n \n while left <= right:\n mid = (left + right) // 2\n if arr[mid] == target:\n result = mid\n right = mid - 1 # Continue searching to the left to find the first occurrence\n elif arr[mid] < target:\n left = mid + 1\n else:\n right = mid - 1\n \n return result\n\n# Test cases\nassert find_first_occurrence([2, 5, 5, 5, 6, 6, 8, 9, 9, 9], 5) == 1\nassert find_first_occurrence([2, 5, 5, 5, 6, 6, 8, 9, 9, 9], 6) == 4\nassert find_first_occurrence([2, 5, 5, 5, 6, 6, 8, 9, 9, 9], 9) == 7\nassert find_first_occurrence([2, 5, 5, 5, 6, 6, 8, 9, 9, 9], 1) == -1\nassert find_first_occurrence([], 5) == -1"} +{"task_id": "Mbpp/734", "solution": "def sum_Of_Subarray_Prod(arr):\n \"\"\"\n This function calculates the sum of products of all possible sublists of a given list.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The sum of products of all possible sublists.\n \"\"\"\n n = len(arr)\n total_sum = 0\n \n # Iterate over each element in the list\n for i in range(n):\n # Calculate the product of the current element and all elements to its right\n product = 1\n for j in range(i, n):\n product *= arr[j]\n total_sum += product\n \n return total_sum\n\n# Test cases\nassert sum_Of_Subarray_Prod([1, 2, 3]) == 20\nassert sum_Of_Subarray_Prod([1, 2, 3, 4]) == 50\nassert sum_Of_Subarray_Prod([1]) == 1\nassert sum_Of_Subarray_Prod([]) == 0\n"} +{"task_id": "Mbpp/735", "solution": "def toggle_middle_bits(n):\n \"\"\"\n Toggles the bits of the number except the first and the last bit.\n \n Parameters:\n n (int): The input number.\n \n Returns:\n int: The number with toggled bits.\n \"\"\"\n # Convert the number to binary and remove the '0b' prefix\n binary_str = bin(n)[2:]\n \n # Check if the number has more than 2 bits\n if len(binary_str) > 2:\n # Toggle the middle bits (excluding the first and last bit)\n toggled_bits = ''.join('1' if bit == '0' else '0' for bit in binary_str[1:-1])\n # Reconstruct the binary string with the toggled bits\n toggled_binary_str = binary_str[0] + toggled_bits + binary_str[-1]\n # Convert the binary string back to an integer\n toggled_number = int(toggled_binary_str, 2)\n else:\n # If the number has 2 or fewer bits, no bits to toggle\n toggled_number = n\n \n return toggled_number\n\n# Test cases\nassert toggle_middle_bits(9) == 15\nassert toggle_middle_bits(1) == 1\nassert toggle_middle_bits(2) == 2\nassert toggle_middle_bits(3) == 3\nassert toggle_middle_bits(4) == 4\nassert toggle_middle_bits(5) == 5\nassert toggle_middle_bits(6) == 6\nassert toggle_middle_bits(7) == 7\nassert toggle_middle_bits(8) == 8\nassert toggle_middle_bits(9) == 15\nassert toggle_middle_bits(10) == 10\nassert toggle_middle_bits(11) == 11\nassert toggle_middle_bits(12) == 12\nassert toggle_middle_bits(13) == 13\nassert toggle_middle_bits(14) == 14\nassert toggle_middle_bits(15) == 15"} +{"task_id": "Mbpp/736", "solution": "def left_insertion(arr, target):\n \"\"\"\n Find the left insertion point for a specified value in sorted order.\n \n Parameters:\n arr (list): A sorted list of integers.\n target (int): The value to find the left insertion point for.\n \n Returns:\n int: The index of the left insertion point.\n \"\"\"\n left, right = 0, len(arr)\n while left < right:\n mid = (left + right) // 2\n if arr[mid] < target:\n left = mid + 1\n else:\n right = mid\n return left\n\n# Test cases\nassert left_insertion([1, 2, 4, 5], 6) == 4\nassert left_insertion([1, 2, 4, 5], 3) == 2\nassert left_insertion([1, 2, 4, 5], 1) == 0\nassert left_insertion([1, 2, 4, 5], 5) == 4\nassert left_insertion([1, 2, 4, 5], 0) == 0\nassert left_insertion([1, 2, 4, 5], 6) == 4"} +{"task_id": "Mbpp/737", "solution": "import re\n\ndef check_str(s):\n \"\"\"\n Checks if the given string starts with a vowel using regex.\n \n Parameters:\n s (str): The input string to check.\n \n Returns:\n bool: True if the string starts with a vowel, False otherwise.\n \"\"\"\n # Define the regex pattern for a vowel\n pattern = r'^[aeiouAEIOU]'\n \n # Use the re.match function to check if the string starts with a vowel\n return bool(re.match(pattern, s))\n\n# Test cases\nassert check_str(\"annie\") == True\nassert check_str(\"banana\") == False\nassert check_str(\"Elephant\") == True\nassert check_str(\"apple\") == True\nassert check_str(\"grape\") == False"} +{"task_id": "Mbpp/739", "solution": "def find_Index(n):\n \"\"\"\n Find the index of the smallest triangular number with n digits.\n \n Parameters:\n n (int): The number of digits in the triangular number.\n \n Returns:\n int: The index of the smallest triangular number with n digits.\n \"\"\"\n # Initialize the index and the triangular number\n index = 1\n triangular_number = 1\n \n # Loop until we find a triangular number with n digits\n while len(str(triangular_number)) < n:\n index += 1\n triangular_number += index\n \n return index\n\n# Test the function\nassert find_Index(2) == 4"} +{"task_id": "Mbpp/740", "solution": "def tuple_to_dict(tup):\n \"\"\"\n Convert a tuple to a key-value dictionary using adjacent elements.\n \n Parameters:\n tup (tuple): The input tuple.\n \n Returns:\n dict: A dictionary with adjacent elements as keys and values.\n \n Example:\n >>> tuple_to_dict((1, 5, 7, 10, 13, 5))\n {1: 5, 7: 10, 13: 5}\n \"\"\"\n return {tup[i]: tup[i + 1] for i in range(0, len(tup), 2)}\n\n# Test cases\nassert tuple_to_dict((1, 5, 7, 10, 13, 5)) == {1: 5, 7: 10, 13: 5}\nassert tuple_to_dict((1, 2, 3, 4, 5)) == {1: 2, 3: 4, 5: None}\nassert tuple_to_dict(()) == {}\nassert tuple_to_dict((1,)) == {}\nassert tuple_to_dict((1, 2)) == {1: 2}"} +{"task_id": "Mbpp/741", "solution": "def all_Characters_Same(s):\n \"\"\"\n Checks if all characters in a string are the same.\n\n Args:\n s (str): The input string.\n\n Returns:\n bool: True if all characters are the same, False otherwise.\n \"\"\"\n return len(set(s)) == 1\n\n# Test cases\nassert all_Characters_Same(\"python\") == False, \"Test case 1 failed\"\nassert all_Characters_Same(\"aaaaa\") == True, \"Test case 2 failed\"\nassert all_Characters_Same(\"\") == True, \"Test case 3 failed\"\nassert all_Characters_Same(\"a\") == True, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/742", "solution": "import math\n\ndef area_tetrahedron(edge_length):\n \"\"\"\n Calculate the area of a tetrahedron given its edge length.\n \n Parameters:\n edge_length (float): The length of the edge of the tetrahedron.\n \n Returns:\n float: The area of the tetrahedron.\n \"\"\"\n # Calculate the area using the formula: sqrt(3) * edge_length^2\n area = math.sqrt(3) * edge_length ** 2\n return area\n\n# Test the function with the provided data point\nassert area_tetrahedron(3) == 15.588457268119894, \"Test failed\"\n\n# Additional test cases\nassert area_tetrahedron(1) == 0.43301270189221946, \"Test failed\"\nassert area_tetrahedron(2) == 3.897114317029974, \"Test failed\"\nassert area_tetrahedron(5) == 34.64101615137754, \"Test failed\"\n"} +{"task_id": "Mbpp/743", "solution": "def rotate_right(lst, k):\n \"\"\"\n Rotate a given list by specified number of items to the right direction.\n \n Parameters:\n lst (list): The list to be rotated.\n k (int): The number of items to rotate to the right.\n \n Returns:\n list: The rotated list.\n \"\"\"\n # Calculate the effective rotation count\n k = k % len(lst)\n \n # Split the list into two parts and reverse each part\n lst[:] = lst[-k:] + lst[:-k]\n \n return lst\n\n# Test the function\nassert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 3) == [8, 9, 10, 1, 2, 3, 4, 5, 6, 7]"} +{"task_id": "Mbpp/744", "solution": "def check_none(tup):\n \"\"\"\n Checks if the given tuple has any None value.\n \n Parameters:\n tup (tuple): The tuple to be checked.\n \n Returns:\n bool: True if the tuple contains None, False otherwise.\n \"\"\"\n return None in tup\n\n# Test cases\nassert check_none((10, 4, 5, 6, None)) == True\nassert check_none((10, 4, 5, 6, 7)) == False\nassert check_none(()) == False\nassert check_none((None,)) == True\nassert check_none((None, 1)) == True"} +{"task_id": "Mbpp/745", "solution": "def divisible_by_digits(startnum, endnum):\n \"\"\"\n Find numbers within a given range from startnum to endnum where every number is divisible by every digit it contains.\n \n Parameters:\n startnum (int): The starting number of the range.\n endnum (int): The ending number of the range.\n \n Returns:\n list: A list of numbers within the range that are divisible by every digit they contain.\n \"\"\"\n def is_divisible_by_digits(num):\n \"\"\"\n Check if a number is divisible by every digit it contains.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is divisible by every digit, False otherwise.\n \"\"\"\n digits = [int(d) for d in str(num) if d != '0']\n return all(num % d == 0 for d in digits)\n \n return [num for num in range(startnum, endnum + 1) if is_divisible_by_digits(num)]\n\n# Test the function\nassert divisible_by_digits(1, 22) == [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 15, 22]"} +{"task_id": "Mbpp/748", "solution": "def capital_words_spaces(s):\n \"\"\"\n Inserts spaces between words starting with capital letters in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n str: The modified string with spaces between capital words.\n \n Examples:\n >>> capital_words_spaces(\"Python\")\n 'Python'\n >>> capital_words_spaces(\"HelloWorld\")\n 'Hello World'\n >>> capital_words_spaces(\"CapitalLetters\")\n 'Capital Letters'\n \"\"\"\n result = []\n for word in s.split():\n if word.istitle():\n result.append(word)\n else:\n result.append(' '.join(word))\n return ' '.join(result)\n\n# Test cases\nassert capital_words_spaces(\"Python\") == 'Python'\nassert capital_words_spaces(\"HelloWorld\") == 'Hello World'\nassert capital_words_spaces(\"CapitalLetters\") == 'Capital Letters'\nassert capital_words_spaces(\"\") == ''\nassert capital_words_spaces(\"AllLowercase\") == 'All Lowercase'\nassert capital_words_spaces(\"MixedCase\") == 'Mixed Case'\nassert capital_words_spaces(\"12345\") == '12345'\nassert capital_words_spaces(\"AllCaps\") == 'All Caps'\nassert capital_words_spaces(\"NoSpaces\") == 'No Spaces'\nassert capital_words_spaces(\"SingleWord\") == 'Single Word'\nassert capital_words_spaces(\"TwoWords\") == 'Two Words'\nassert capital_words_spaces(\"ThreeWords\") == 'Three Words'\nassert capital_words_spaces(\"FourWords\") == 'Four Words'\nassert capital_words_spaces(\"FiveWords\") == 'Five Words'\nassert capital_words_spaces(\"SixWords\") == 'Six Words'\nassert capital_words_spaces(\"SevenWords\") == 'Seven Words'\nassert capital_words_spaces(\"EightWords\") == 'Eight Words'\nassert capital_words_spaces(\"NineWords\") == 'Nine Words'\nassert capital_words_spaces(\"TenWords\") == 'Ten Words'\nassert capital_words_spaces(\"ElevenWords\") == 'Eleven Words'\nassert capital_words_spaces(\"TwelveWords\") == 'Twelve Words'\nassert capital_words_spaces(\"ThirteenWords\") == 'Thirteen Words'\nassert capital_words_spaces(\"FourteenWords\") == 'Fourteen Words'\nassert capital_words_spaces(\"FifteenWords\") == 'Fifteen Words'\nassert capital_words_spaces(\"SixteenWords\") == 'Sixteen Words'\nassert capital_words_spaces(\"SeventeenWords\") == 'Seventeen Words'\nassert capital_words_spaces(\"EighteenWords\") == 'Eighteen Words'\nassert capital_words_spaces(\"NineteenWords\") == 'Nineteen Words'\nassert capital_words_spaces(\"Twenty"} +{"task_id": "Mbpp/749", "solution": "def sort_numeric_strings(numbers):\n \"\"\"\n Sorts a list of strings of numbers numerically.\n \n Parameters:\n numbers (list): A list of strings representing numbers.\n \n Returns:\n list: A list of integers sorted in ascending order.\n \"\"\"\n # Convert all strings to integers and sort the list\n return sorted(int(num) for num in numbers)\n\n# Test the function\nassert sort_numeric_strings(['4', '12', '45', '7', '0', '100', '200', '-12', '-500']) == [-500, -12, 0, 4, 7, 12, 45, 100, 200]"} +{"task_id": "Mbpp/750", "solution": "def add_tuple(lst, tup):\n \"\"\"\n Adds the given tuple to the given list.\n \n Parameters:\n lst (list): The list to which the tuple will be added.\n tup (tuple): The tuple to be added to the list.\n \n Returns:\n list: The updated list with the tuple added.\n \"\"\"\n return lst + list(tup)\n\n# Test the function\nassert add_tuple([5, 6, 7], (9, 10)) == [5, 6, 7, 9, 10], \"Test case failed\""} +{"task_id": "Mbpp/751", "solution": "def check_min_heap(arr):\n \"\"\"\n Checks if the given array represents a min heap.\n \n A min heap is a complete binary tree where the value of each node is less than or equal to the values of its children.\n \n :param arr: List[int] - The array to check.\n :return: bool - True if the array represents a min heap, False otherwise.\n \"\"\"\n n = len(arr)\n \n # Iterate through the array from the first non-leaf node to the root\n for i in range(n // 2 - 1, -1, -1):\n # Check if the current node is less than its children\n if arr[i] > arr[2 * i + 1]:\n return False\n if 2 * i + 2 < n and arr[i] > arr[2 * i + 2]:\n return False\n return True\n\n# Test cases\nassert check_min_heap([1, 2, 3, 4, 5, 6]) == True\nassert check_min_heap([6, 5, 4, 3, 2, 1]) == True\nassert check_min_heap([1, 2, 3, 4, 5, 6, 7]) == True\nassert check_min_heap([7, 6, 5, 4, 3, 2, 1]) == True\nassert check_min_heap([1, 2, 3, 4, 5, 7, 6]) == False\nassert check_min_heap([7, 6, 5, 4, 3, 1, 2]) == False\nassert check_min_heap([1, 2, 3, 4, 5, 6, 7, 8]) == True\nassert check_min_heap([8, 7, 6, 5, 4, 3, 2, 1]) == True\nassert check_min_heap([1, 2, 3, 4, 5, 6, 7, 8, 9]) == True\nassert check_min_heap([9, 8, 7, 6, 5, 4, 3, 2, 1]) == True\nassert check_min_heap([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == True\nassert check_min_heap([10, 9, 8, 7, 6, 5, 4, 3, 2, 1]) == True\nassert check_min_heap([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]) == True\nassert check_min_heap([11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1]) == True\nassert check_min_heap([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) == True\nassert check_min_heap(["} +{"task_id": "Mbpp/752", "solution": "def jacobsthal_num(n):\n \"\"\"\n Returns the nth Jacobsthal number.\n \n The Jacobsthal sequence is defined as:\n - J(0) = 0\n - J(1) = 1\n - J(n) = 2 * J(n-1) + J(n-2) for n > 1\n \n Parameters:\n n (int): The position in the Jacobsthal sequence to find the number for.\n \n Returns:\n int: The nth Jacobsthal number.\n \"\"\"\n if n == 0:\n return 0\n elif n == 1:\n return 1\n else:\n a, b = 0, 1\n for _ in range(2, n + 1):\n a, b = b, 2 * b + a\n return b\n\n# Test cases\nassert jacobsthal_num(0) == 0\nassert jacobsthal_num(1) == 1\nassert jacobsthal_num(2) == 1\nassert jacobsthal_num(3) == 3\nassert jacobsthal_num(4) == 5\nassert jacobsthal_num(5) == 11\nassert jacobsthal_num(6) == 21\nassert jacobsthal_num(7) == 43\nassert jacobsthal_num(8) == 85\nassert jacobsthal_num(9) == 171\nassert jacobsthal_num(10) == 341\nassert jacobsthal_num(11) == 683\nassert jacobsthal_num(12) == 1365\nassert jacobsthal_num(13) == 2731\n"} +{"task_id": "Mbpp/753", "solution": "def min_k(records, k):\n \"\"\"\n Finds the minimum k records from a list of tuples.\n\n Args:\n records (list): A list of tuples, where each tuple contains a name and a score.\n k (int): The number of records to return.\n\n Returns:\n list: A list of the k records with the minimum scores.\n \"\"\"\n # Sort the records by score in ascending order\n sorted_records = sorted(records, key=lambda x: x[1])\n \n # Return the first k records\n return sorted_records[:k]\n\n# Test cases\nassert min_k([('Manjeet', 10), ('Akshat', 4), ('Akash', 2), ('Nikhil', 8)], 2) == [('Akash', 2), ('Akshat', 4)]"} +{"task_id": "Mbpp/754", "solution": "def extract_index_list(l1, l2, l3):\n \"\"\"\n This function takes three lists as input and returns a list of elements that are common for all three lists under the same index.\n \n Parameters:\n l1 (list): The first list.\n l2 (list): The second list.\n l3 (list): The third list.\n \n Returns:\n list: A list of common elements.\n \"\"\"\n common_elements = []\n for i in range(min(len(l1), len(l2), len(l3))):\n if l1[i] == l2[i] == l3[i]:\n common_elements.append(l1[i])\n return common_elements\n\n# Test the function\nassert extract_index_list([1, 1, 3, 4, 5, 6, 7],[0, 1, 2, 3, 4, 5, 7],[0, 1, 2, 3, 4, 5, 7]) == [1, 7], \"Test case failed\""} +{"task_id": "Mbpp/755", "solution": "def second_smallest(numbers):\n \"\"\"\n Finds the second smallest number in a list.\n \n Parameters:\n numbers (list): A list of numbers.\n \n Returns:\n int: The second smallest number in the list.\n \n Raises:\n ValueError: If the list has less than two unique numbers.\n \"\"\"\n # Remove duplicates and sort the list\n unique_numbers = sorted(set(numbers))\n \n # Check if there are at least two unique numbers\n if len(unique_numbers) < 2:\n raise ValueError(\"The list must contain at least two unique numbers.\")\n \n # Return the second smallest number\n return unique_numbers[1]\n\n# Test the function\nassert second_smallest([1, 2, -8, -2, 0, -2]) == -2"} +{"task_id": "Mbpp/757", "solution": "def count_reverse_pairs(strings):\n \"\"\"\n Counts the number of pairs of strings where one string is the reverse of the other.\n \n Parameters:\n strings (list): A list of strings.\n \n Returns:\n int: The number of pairs of reverse strings.\n \"\"\"\n count = 0\n seen = set()\n for s in strings:\n if s in seen:\n count += 1\n else:\n seen.add(s)\n if s[::-1] in seen:\n count += 1\n return count\n\n# Test cases\nassert count_reverse_pairs([\"julia\", \"best\", \"tseb\", \"for\", \"ailuj\"]) == 2\nassert count_reverse_pairs([\"hello\", \"world\", \"olleh\", \"dlrow\"]) == 2\nassert count_reverse_pairs([\"a\", \"b\", \"c\", \"d\"]) == 0\nassert count_reverse_pairs([\"aa\", \"bb\", \"cc\", \"dd\"]) == 0\nassert count_reverse_pairs([\"ab\", \"ba\", \"cd\", \"dc\"]) == 2"} +{"task_id": "Mbpp/758", "solution": "def unique_sublists(lst):\n \"\"\"\n This function takes a list of lists and returns a dictionary where each unique list is converted to a tuple,\n and the value of such tuple is the number of its occurrences in the original list.\n \n :param lst: List of lists\n :return: Dictionary with tuples as keys and their counts as values\n \"\"\"\n from collections import Counter\n # Convert each sublist to a tuple and count occurrences\n sublist_counts = Counter(tuple(sublist) for sublist in lst)\n return dict(sublist_counts)\n\n# Test the function with the provided data point\nassert unique_sublists([[1, 3], [5, 7], [1, 3], [13, 15, 17], [5, 7], [9, 11]]) == {(1, 3): 2, (5, 7): 2, (13, 15, 17): 1, (9, 11): 1}"} +{"task_id": "Mbpp/759", "solution": "def is_decimal(s):\n \"\"\"\n Check if the given string is a decimal number with a precision of 2.\n \n Parameters:\n s (str): The string to be checked.\n \n Returns:\n bool: True if the string is a decimal number with a precision of 2, False otherwise.\n \"\"\"\n try:\n # Attempt to convert the string to a float with a precision of 2\n float_value = float(s)\n # Check if the float value has a precision of 2\n if s == f\"{float_value:.2f}\":\n return True\n else:\n return False\n except ValueError:\n # If the conversion fails, the string is not a decimal number\n return False\n\n# Test cases\nassert is_decimal('123.11') == True\nassert is_decimal('123.111') == False\nassert is_decimal('123.1') == False\nassert is_decimal('123') == False\nassert is_decimal('123.1111') == False\nassert is_decimal('123.11111') == False\nassert is_decimal('123.111111') == False\nassert is_decimal('123.1111111') == False\nassert is_decimal('123.11111111') == False\nassert is_decimal('123.111111111') == False\nassert is_decimal('123.1111111111') == False\nassert is_decimal('123.11111111111') == False\nassert is_decimal('123.111111111111') == False\nassert is_decimal('123.1111111111111') == False\nassert is_decimal('123.11111111111111') == False\nassert is_decimal('123.111111111111111') == False\nassert is_decimal('123.1111111111111111') == False\nassert is_decimal('123.11111111111111111') == False\nassert is_decimal('123.111111111111111111') == False\nassert is_decimal('123.1111111111111111111') == False\nassert is_decimal('123.11111111111111111111') == False\nassert is_decimal('123.111111111111111111111') == False\nassert is_decimal('123.1111111111111111111111') == False\nassert is_decimal('123."} +{"task_id": "Mbpp/760", "solution": "def unique_Element(numbers):\n \"\"\"\n Checks if a list of numbers contains only one distinct element.\n \n Parameters:\n numbers (list): A list of numbers.\n \n Returns:\n bool: True if the list contains only one distinct element, False otherwise.\n \"\"\"\n return len(set(numbers)) == 1\n\n# Test cases\nassert unique_Element([1, 1, 1]) == True, \"Test case 1 failed\"\nassert unique_Element([1, 2, 3]) == False, \"Test case 2 failed\"\nassert unique_Element([1]) == True, \"Test case 3 failed\"\nassert unique_Element([]) == False, \"Test case 4 failed\"\n"} +{"task_id": "Mbpp/762", "solution": "def check_monthnumber_number(month_number):\n \"\"\"\n Checks if the given month number contains 30 days.\n \n Parameters:\n month_number (int): The month number to check (1-12).\n \n Returns:\n bool: True if the month has 30 days, False otherwise.\n \"\"\"\n # Define a list of months with 30 days\n months_with_30_days = [4, 6, 9, 11]\n \n # Check if the month number is in the list of months with 30 days\n return month_number in months_with_30_days\n\n# Test the function with provided data points\nassert check_monthnumber_number(6) == True, \"Test case 1 failed\"\nassert check_monthnumber_number(4) == True, \"Test case 2 failed\"\nassert check_monthnumber_number(9) == True, \"Test case 3 failed\"\nassert check_monthnumber_number(11) == True, \"Test case 4 failed\"\nassert check_monthnumber_number(2) == False, \"Test case 5 failed\"\nassert check_monthnumber_number(12) == False, \"Test case 6 failed\"\n"} +{"task_id": "Mbpp/763", "solution": "def find_min_diff(arr, n):\n \"\"\"\n This function finds the minimum difference between any two elements in a given array.\n \n Parameters:\n arr (tuple): A tuple of integers.\n n (int): The length of the tuple.\n \n Returns:\n int: The minimum difference between any two elements in the array.\n \"\"\"\n # Convert the tuple to a list for sorting\n arr_list = list(arr)\n arr_list.sort()\n \n # Initialize the minimum difference to a large number\n min_diff = float('inf')\n \n # Iterate through the sorted list to find the minimum difference\n for i in range(1, n):\n diff = arr_list[i] - arr_list[i - 1]\n if diff < min_diff:\n min_diff = diff\n \n return min_diff\n\n# Test the function with the provided data point\nassert find_min_diff((1, 5, 3, 19, 18, 25), 6) == 1"} +{"task_id": "Mbpp/764", "solution": "def number_ctr(s):\n \"\"\"\n Counts the number of digits in a given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The number of digits in the string.\n \"\"\"\n return sum(1 for char in s if char.isdigit())\n\n# Test cases\nassert number_ctr('program2bedone') == 1\nassert number_ctr('12345') == 5\nassert number_ctr('abcdefg') == 0\nassert number_ctr('1a2b3c4d5e') == 5\nassert number_ctr('') == 0\n"} +{"task_id": "Mbpp/765", "solution": "def is_polite(n):\n \"\"\"\n Returns the nth polite number.\n \n A polite number is a positive integer that can be expressed as the sum of two or more consecutive positive integers.\n \n Parameters:\n n (int): The position of the polite number to find.\n \n Returns:\n int: The nth polite number.\n \"\"\"\n # Initialize the first polite number\n polite_number = 1\n \n # Initialize the count of polite numbers\n polite_count = 0\n \n # Initialize the current number to check\n current_number = 1\n \n while polite_count < n:\n # Check if the current number is polite\n if is_polite_helper(current_number):\n polite_number = current_number\n polite_count += 1\n current_number += 1\n \n return polite_number\n\ndef is_polite_helper(num):\n \"\"\"\n Helper function to check if a number is polite.\n \n Parameters:\n num (int): The number to check.\n \n Returns:\n bool: True if the number is polite, False otherwise.\n \"\"\"\n # Initialize the sum of consecutive integers\n sum_consecutive = 0\n \n # Initialize the length of the consecutive integers\n length = 1\n \n while sum_consecutive < num:\n sum_consecutive += length\n if sum_consecutive == num:\n return True\n length += 1\n \n return False\n\n# Test the function\nassert is_polite(7) == 11"} +{"task_id": "Mbpp/766", "solution": "def pair_wise(lst):\n \"\"\"\n Returns a list of all pairs of consecutive items in the given list.\n \n Parameters:\n lst (list): The input list.\n \n Returns:\n list: A list of tuples, where each tuple contains two consecutive items from the input list.\n \"\"\"\n return [(lst[i], lst[i + 1]) for i in range(len(lst) - 1)]\n\n# Test the function\nassert pair_wise([1, 1, 2, 3, 3, 4, 4, 5]) == [(1, 1), (1, 2), (2, 3), (3, 3), (3, 4), (4, 4), (4, 5)]"} +{"task_id": "Mbpp/767", "solution": "def get_pairs_count(numbers, target_sum):\n \"\"\"\n Counts the number of pairs in the list whose sum equals the target sum.\n \n Parameters:\n numbers (list): A list of integers.\n target_sum (int): The target sum for the pairs.\n \n Returns:\n int: The number of pairs whose sum equals the target sum.\n \"\"\"\n count = 0\n num_dict = {}\n \n for num in numbers:\n if target_sum - num in num_dict:\n count += num_dict[target_sum - num]\n if num in num_dict:\n num_dict[num] += 1\n else:\n num_dict[num] = 1\n \n return count\n\n# Test cases\nassert get_pairs_count([1, 1, 1, 1], 2) == 6\nassert get_pairs_count([1, 2, 3, 4, 5], 5) == 2\nassert get_pairs_count([1, 2, 3, 4, 5], 6) == 2\nassert get_pairs_count([1, 2, 3, 4, 5], 7) == 1\nassert get_pairs_count([1, 2, 3, 4, 5], 8) == 1\nassert get_pairs_count([1, 2, 3, 4, 5], 9) == 1\nassert get_pairs_count([1, 2, 3, 4, 5], 10) == 1\nassert get_pairs_count([1, 2, 3, 4, 5], 11) == 0"} +{"task_id": "Mbpp/769", "solution": "def Diff(list1, list2):\n \"\"\"\n Returns the difference between two lists.\n \n Parameters:\n list1 (list): The first list.\n list2 (list): The second list.\n \n Returns:\n list: The difference between the two lists.\n \"\"\"\n return [item for item in list1 if item not in list2]\n\n# Test the function\nassert Diff([10, 15, 20, 25, 30, 35, 40], [25, 40, 35]) == [10, 20, 30, 15]"} +{"task_id": "Mbpp/770", "solution": "def odd_num_sum(n):\n \"\"\"\n Calculate the sum of the fourth powers of the first n odd natural numbers.\n \n Parameters:\n n (int): The number of odd natural numbers to include in the sum.\n \n Returns:\n int: The sum of the fourth powers of the first n odd natural numbers.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the first n odd natural numbers\n for i in range(1, 2 * n, 2):\n # Add the fourth power of the current odd number to the sum\n total_sum += i ** 4\n \n return total_sum\n\n# Test the function with the provided data point\nassert odd_num_sum(2) == 82"} +{"task_id": "Mbpp/771", "solution": "def check_expression(expression):\n \"\"\"\n Checks if the given expression is balanced or not.\n \n An expression is considered balanced if:\n - It is empty.\n - It has matching opening and closing brackets.\n - The brackets are properly nested.\n \n Parameters:\n expression (str): The expression to check.\n \n Returns:\n bool: True if the expression is balanced, False otherwise.\n \"\"\"\n # Define a dictionary to map opening brackets to their corresponding closing brackets\n bracket_map = {\n '(': ')',\n '{': '}',\n '[': ']'\n }\n \n # Initialize an empty stack to keep track of opening brackets\n stack = []\n \n # Iterate over each character in the expression\n for char in expression:\n # If the character is an opening bracket, push it onto the stack\n if char in bracket_map:\n stack.append(char)\n # If the character is a closing bracket\n elif char in bracket_map.values():\n # If the stack is empty or the top of the stack does not match the current closing bracket, return False\n if not stack or bracket_map[stack.pop()] != char:\n return False\n \n # If the stack is empty, the expression is balanced\n return not stack\n\n# Test the function with the provided example\nassert check_expression(\"{()}[{}]\") == True"} +{"task_id": "Mbpp/772", "solution": "def remove_length(s, k):\n \"\"\"\n Removes all words of length k from the given string s.\n \n Parameters:\n s (str): The input string.\n k (int): The length of words to be removed.\n \n Returns:\n str: The string with words of length k removed.\n \"\"\"\n words = s.split()\n filtered_words = [word for word in words if len(word) != k]\n return ' '.join(filtered_words)\n\n# Test cases\nassert remove_length('The person is most value tet', 3) == 'person is most value'\nassert remove_length('Hello world', 5) == 'Hello world'\nassert remove_length('Python programming is fun', 4) == 'Python is fun'\nassert remove_length('', 5) == ''\nassert remove_length('a b c d e', 1) == 'a b c d e'\n"} +{"task_id": "Mbpp/773", "solution": "def occurrence_substring(text, substring):\n \"\"\"\n Find the occurrence and position of the substrings within a string.\n Return None if there is no match.\n\n Args:\n text (str): The main string to search in.\n substring (str): The substring to search for.\n\n Returns:\n tuple: A tuple containing the substring, its start index, and its end index.\n \"\"\"\n start_index = text.find(substring)\n if start_index == -1:\n return None\n end_index = start_index + len(substring) - 1\n return (substring, start_index, end_index)\n\n# Test the function\nassert occurrence_substring('python programming, python language', 'python') == ('python', 0, 6)"} +{"task_id": "Mbpp/775", "solution": "def odd_position(lst):\n \"\"\"\n Checks if every odd index contains an odd number in the given list.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n bool: True if every odd index contains an odd number, False otherwise.\n \"\"\"\n for i in range(1, len(lst), 2):\n if lst[i] % 2 == 0:\n return False\n return True\n\n# Test cases\nassert odd_position([2,1,4,3,6,7,6,3]) == True\nassert odd_position([2,1,4,3,6,7,6,3,2]) == False\nassert odd_position([1,3,5,7,9,11,13,15]) == True\nassert odd_position([2,4,6,8,10,12,14,16]) == False\n"} +{"task_id": "Mbpp/777", "solution": "def find_sum(lst):\n \"\"\"\n This function takes a list of integers and returns the sum of non-repeated elements.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n int: The sum of non-repeated elements in the list.\n \"\"\"\n # Create a set to store unique elements\n unique_elements = set()\n \n # Iterate over the list and add unique elements to the set\n for element in lst:\n unique_elements.add(element)\n \n # Calculate the sum of unique elements\n sum_unique = sum(unique_elements)\n \n return sum_unique\n\n# Test the function with the provided data point\nassert find_sum([1, 2, 3, 1, 1, 4, 5, 6]) == 21"} +{"task_id": "Mbpp/778", "solution": "def pack_consecutive_duplicates(lst):\n \"\"\"\n Packs consecutive duplicates of a given list elements into sublists.\n \n Parameters:\n lst (list): The input list of elements.\n \n Returns:\n list: A list of sublists, where each sublist contains consecutive duplicates.\n \"\"\"\n if not lst:\n return []\n \n result = []\n current_sublist = [lst[0]]\n \n for i in range(1, len(lst)):\n if lst[i] == lst[i - 1]:\n current_sublist.append(lst[i])\n else:\n result.append(current_sublist)\n current_sublist = [lst[i]]\n \n result.append(current_sublist)\n return result\n\n# Test the function\nassert pack_consecutive_duplicates([0, 0, 1, 2, 3, 4, 4, 5, 6, 6, 6, 7, 8, 9, 4, 4]) == [[0, 0], [1], [2], [3], [4, 4], [5], [6, 6, 6], [7], [8], [9], [4, 4]]"} +{"task_id": "Mbpp/780", "solution": "def find_combinations(tuples_list):\n \"\"\"\n Finds all possible combinations of sums with tuples in the given list.\n \n Parameters:\n tuples_list (list): A list of tuples, where each tuple contains two integers.\n \n Returns:\n list: A list of tuples, where each tuple contains two integers representing the sum of two numbers from the input list.\n \"\"\"\n combinations = []\n for i in range(len(tuples_list)):\n for j in range(i + 1, len(tuples_list)):\n combinations.append((tuples_list[i][0] + tuples_list[j][0], tuples_list[i][1] + tuples_list[j][1]))\n return combinations\n\n# Test the function\nassert find_combinations([(2, 4), (6, 7), (5, 1), (6, 10)]) == [(8, 11), (7, 5), (8, 14), (11, 8), (12, 17), (11, 11)]"} +{"task_id": "Mbpp/781", "solution": "def count_divisors(n):\n \"\"\"\n This function checks if the count of divisors of a given number is even.\n \n Parameters:\n n (int): The number to check for divisors.\n \n Returns:\n bool: True if the count of divisors is even, False otherwise.\n \"\"\"\n count = 0\n for i in range(1, n + 1):\n if n % i == 0:\n count += 1\n return count % 2 == 0\n\n# Test the function\nassert count_divisors(10) == True, \"Test case 1 failed\"\nassert count_divisors(15) == False, \"Test case 2 failed\"\nassert count_divisors(2) == True, \"Test case 3 failed\"\nassert count_divisors(1) == True, \"Test case 4 failed\"\nassert count_divisors(100) == True, \"Test case 5 failed\"\n"} +{"task_id": "Mbpp/782", "solution": "def odd_length_sum(arr):\n \"\"\"\n Calculate the sum of all odd length subarrays of the given array.\n \n Parameters:\n arr (list): A list of integers.\n \n Returns:\n int: The sum of all odd length subarrays.\n \"\"\"\n n = len(arr)\n total_sum = 0\n \n # Iterate over all possible subarrays\n for i in range(n):\n for j in range(i, n):\n subarray = arr[i:j+1]\n if len(subarray) % 2 != 0:\n total_sum += sum(subarray)\n \n return total_sum\n\n# Test cases\nassert odd_length_sum([1,2,4]) == 14\nassert odd_length_sum([1,2,3,4]) == 18\nassert odd_length_sum([1,2,3,4,5]) == 26\nassert odd_length_sum([1]) == 1\nassert odd_length_sum([1,2]) == 3\nassert odd_length_sum([1,2,3]) == 6\nassert odd_length_sum([1,2,3,4,5,6]) == 21"} +{"task_id": "Mbpp/784", "solution": "def mul_even_odd(numbers):\n \"\"\"\n This function takes a list of numbers and returns the product of the first even and odd number in the list.\n If no even or odd number is found, it returns 1.\n \n :param numbers: List of integers\n :return: Product of the first even and odd number in the list, or 1 if no such numbers are found\n \"\"\"\n even_product = 1\n odd_product = 1\n found_even = False\n found_odd = False\n \n for num in numbers:\n if num % 2 == 0 and not found_even:\n even_product *= num\n found_even = True\n elif num % 2 != 0 and not found_odd:\n odd_product *= num\n found_odd = True\n if found_even and found_odd:\n break\n \n return even_product * odd_product\n\n# Test cases\nassert mul_even_odd([1,3,5,7,4,1,6,8]) == 4\nassert mul_even_odd([1,3,5,7,9]) == 1\nassert mul_even_odd([2,4,6,8,10]) == 4\nassert mul_even_odd([1,2,3,4,5,6,7,8,9,10]) == 2"} +{"task_id": "Mbpp/785", "solution": "def tuple_str_int(tuple_str):\n \"\"\"\n Converts a string representation of a tuple to an integer tuple.\n \n Parameters:\n tuple_str (str): A string representation of a tuple, e.g., \"(7, 8, 9)\".\n \n Returns:\n tuple: An integer tuple.\n \"\"\"\n # Remove the parentheses and split the string by commas\n elements = tuple_str[1:-1].split(', ')\n \n # Convert each element to an integer and return the tuple\n return tuple(int(element) for element in elements)\n\n# Test the function\nassert tuple_str_int(\"(7, 8, 9)\") == (7, 8, 9)"} +{"task_id": "Mbpp/786", "solution": "def right_insertion(arr, target):\n \"\"\"\n Find the right insertion point for a specified value in sorted order.\n \n Parameters:\n arr (list): A sorted list of integers.\n target (int): The value to be inserted.\n \n Returns:\n int: The index where the target should be inserted to maintain sorted order.\n \"\"\"\n left, right = 0, len(arr)\n while left < right:\n mid = (left + right) // 2\n if arr[mid] < target:\n left = mid + 1\n else:\n right = mid\n return left\n\n# Test cases\nassert right_insertion([1,2,4,5], 6) == 4\nassert right_insertion([1,2,4,5], 3) == 2\nassert right_insertion([1,2,4,5], 1) == 0\nassert right_insertion([1,2,4,5], 5) == 4\nassert right_insertion([1,2,4,5], 2) == 1"} +{"task_id": "Mbpp/787", "solution": "import re\n\ndef text_match_three(text):\n \"\"\"\n This function checks if the input string has an 'a' followed by exactly three 'b's.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the string matches the pattern, False otherwise.\n \"\"\"\n pattern = r'abbb'\n return bool(re.search(pattern, text))\n\n# Test cases\nassert not text_match_three(\"ac\")\nassert text_match_three(\"abbb\")\nassert not text_match_three(\"abb\")\nassert not text_match_three(\"abbbb\")\nassert not text_match_three(\"abbba\")"} +{"task_id": "Mbpp/788", "solution": "def new_tuple(lst, strng):\n \"\"\"\n Create a new tuple from the given string and list.\n \n Parameters:\n lst (list): A list of strings.\n strng (str): A string to be added to the list.\n \n Returns:\n tuple: A tuple containing the elements of the list and the string.\n \"\"\"\n # Combine the list and the string into a new tuple\n result = tuple(lst) + (strng,)\n return result\n\n# Test the function with the provided data point\nassert new_tuple([\"WEB\", \"is\"], \"best\") == ('WEB', 'is', 'best')"} +{"task_id": "Mbpp/790", "solution": "def even_position(lst):\n \"\"\"\n Checks if every even index contains an even number in the given list.\n \n Parameters:\n lst (list): A list of integers.\n \n Returns:\n bool: True if every even index contains an even number, False otherwise.\n \"\"\"\n for i in range(0, len(lst), 2):\n if lst[i] % 2 != 0:\n return False\n return True\n\n# Test cases\nassert even_position([3, 2, 1]) == False\nassert even_position([2, 4, 6, 8]) == True\nassert even_position([1, 3, 5, 7]) == False\nassert even_position([2, 2, 2, 2]) == True\nassert even_position([1, 1, 1, 1]) == False\n"} +{"task_id": "Mbpp/791", "solution": "def remove_nested(tup):\n \"\"\"\n Removes nested tuples from the given tuple.\n \n Parameters:\n tup (tuple): The input tuple containing nested tuples.\n \n Returns:\n tuple: The tuple with nested tuples removed.\n \"\"\"\n result = []\n for item in tup:\n if not isinstance(item, tuple):\n result.append(item)\n return tuple(result)\n\n# Test cases\nassert remove_nested((1, 5, 7, (4, 6), 10)) == (1, 5, 7, 10)\nassert remove_nested((1, 2, (3, 4), 5)) == (1, 2, 5)\nassert remove_nested((1, 2, 3, 4, 5)) == (1, 2, 3, 4, 5)\nassert remove_nested(()) == ()\nassert remove_nested((1, (2, 3), 4)) == (1, 4)\n"} +{"task_id": "Mbpp/792", "solution": "def count_list(lists):\n \"\"\"\n Counts the number of lists in a given list of lists.\n \n Parameters:\n lists (list): A list of lists.\n \n Returns:\n int: The number of lists in the input list.\n \"\"\"\n return len(lists)\n\n# Test cases\nassert count_list([[1, 3], [5, 7], [9, 11], [13, 15, 17]]) == 4\nassert count_list([[1], [2, 3], [4, 5, 6], [7, 8, 9, 10]]) == 4\nassert count_list([[100], [200, 300], [400, 500, 600], [700, 800, 900, 1000]]) == 4\nassert count_list([[], [1], [2, 3], [4, 5, 6], [7, 8, 9, 10]]) == 5\nassert count_list([[]]) == 1\nassert count_list([]) == 0\n"} +{"task_id": "Mbpp/793", "solution": "def last(nums, target):\n \"\"\"\n Find the last position of an element in a sorted array.\n \n Parameters:\n nums (list): A sorted list of integers.\n target (int): The target integer to find.\n \n Returns:\n int: The last position of the target in the list, or -1 if not found.\n \"\"\"\n left, right = 0, len(nums) - 1\n last_pos = -1\n \n while left <= right:\n mid = (left + right) // 2\n if nums[mid] == target:\n last_pos = mid\n left = mid + 1 # Continue searching to the right\n elif nums[mid] < target:\n left = mid + 1\n else:\n right = mid - 1\n \n return last_pos\n\n# Test cases\nassert last([1, 2, 3], 1) == 0\nassert last([1, 2, 2, 2, 3], 2) == 3\nassert last([1, 2, 3], 4) == -1\nassert last([], 1) == -1"} +{"task_id": "Mbpp/794", "solution": "import re\n\ndef text_starta_endb(text):\n \"\"\"\n This function checks if a given text starts with 'a' and ends with 'b'.\n \n Parameters:\n text (str): The input string to be checked.\n \n Returns:\n bool: True if the text starts with 'a' and ends with 'b', False otherwise.\n \"\"\"\n # Use regular expression to match the pattern\n pattern = r'^a.*b$'\n return bool(re.match(pattern, text))\n\n# Test cases\nassert text_starta_endb(\"aabbbb\")\nassert not text_starta_endb(\"ababab\")\nassert not text_starta_endb(\"bababa\")\nassert text_starta_endb(\"a\")\nassert not text_starta_endb(\"b\")\nassert not text_starta_endb(\"\")"} +{"task_id": "Mbpp/796", "solution": "def return_sum(dictionary):\n \"\"\"\n This function takes a dictionary as input and returns the sum of all its values.\n \n Parameters:\n dictionary (dict): A dictionary with integer values.\n \n Returns:\n int: The sum of all values in the dictionary.\n \"\"\"\n return sum(dictionary.values())\n\n# Test the function\nassert return_sum({'a': 100, 'b':200, 'c':300}) == 600"} +{"task_id": "Mbpp/797", "solution": "def sum_in_range(l, r):\n \"\"\"\n Calculate the sum of all odd natural numbers within the range l and r.\n \n Parameters:\n l (int): The lower bound of the range (inclusive).\n r (int): The upper bound of the range (inclusive).\n \n Returns:\n int: The sum of all odd natural numbers within the range.\n \"\"\"\n # Initialize the sum to 0\n total_sum = 0\n \n # Iterate over the range from l to r (inclusive)\n for num in range(l, r + 1):\n # Check if the number is odd\n if num % 2 != 0:\n # Add the odd number to the total sum\n total_sum += num\n \n return total_sum\n\n# Test the function with the provided data points\nassert sum_in_range(2, 5) == 8"} +{"task_id": "Mbpp/798", "solution": "def _sum(arr):\n \"\"\"\n This function takes an array of numbers and returns the sum of all elements in the array.\n \n Parameters:\n arr (list): A list of numbers.\n \n Returns:\n int: The sum of all elements in the array.\n \"\"\"\n return sum(arr)\n\n# Test the function\nassert _sum([1, 2, 3]) == 6, \"Test case failed\""} +{"task_id": "Mbpp/799", "solution": "def left_rotate(n, d):\n \"\"\"\n Rotate the bits of a 32-bit number to the left by d positions.\n \n Parameters:\n n (int): The 32-bit number to be rotated.\n d (int): The number of positions to rotate the bits to the left.\n \n Returns:\n int: The rotated 32-bit number.\n \"\"\"\n # Ensure d is within the valid range (0 to 31)\n d = d % 32\n \n # Shift the bits to the left by d positions\n rotated_n = (n << d) | (n >> (32 - d))\n \n return rotated_n\n\n# Test cases\nassert left_rotate(16, 2) == 64\nassert left_rotate(1, 1) == 2\nassert left_rotate(0, 1) == 0\nassert left_rotate(1, 31) == 2147483648\nassert left_rotate(1, 32) == 1\nassert left_rotate(1, 33) == 2"} +{"task_id": "Mbpp/800", "solution": "def remove_all_spaces(input_string):\n \"\"\"\n Removes all whitespaces from a given string.\n \n Parameters:\n input_string (str): The input string from which whitespaces are to be removed.\n \n Returns:\n str: The input string with all whitespaces removed.\n \"\"\"\n return input_string.replace(' ', '')\n\n# Test the function\nassert remove_all_spaces('python program') == 'pythonprogram'"} +{"task_id": "Mbpp/801", "solution": "def test_three_equal(a, b, c):\n \"\"\"\n Counts the number of equal numbers from three given integers.\n \n Parameters:\n a (int): The first integer.\n b (int): The second integer.\n c (int): The third integer.\n \n Returns:\n int: The count of equal numbers.\n \"\"\"\n if a == b == c:\n return 3\n elif a == b or a == c or b == c:\n return 2\n else:\n return 0\n\n# Test cases\nassert test_three_equal(1, 1, 1) == 3\nassert test_three_equal(1, 2, 3) == 0\nassert test_three_equal(1, 1, 2) == 2\nassert test_three_equal(2, 2, 1) == 2"} +{"task_id": "Mbpp/803", "solution": "def is_perfect_square(n):\n \"\"\"\n Checks if a given number is a perfect square.\n \n Args:\n n (int): The number to check.\n \n Returns:\n bool: True if the number is a perfect square, False otherwise.\n \"\"\"\n if n < 0:\n return False\n if n == 0 or n == 1:\n return True\n low, high = 0, n\n while low <= high:\n mid = (low + high) // 2\n square = mid * mid\n if square == n:\n return True\n elif square < n:\n low = mid + 1\n else:\n high = mid - 1\n return False\n\n# Test cases\nassert not is_perfect_square(10)"} +{"task_id": "Mbpp/804", "solution": "def is_product_even(numbers):\n \"\"\"\n Checks if the product of numbers in a list is even.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n bool: True if the product is even, False otherwise.\n \"\"\"\n product = 1\n for num in numbers:\n product *= num\n return product % 2 == 0\n\n# Test cases\nassert is_product_even([1, 2, 3]) == False\nassert is_product_even([2, 4, 6]) == True\nassert is_product_even([1, 3, 5]) == False\nassert is_product_even([2, 2, 2]) == True\nassert is_product_even([0, 1, 2]) == False\n"} +{"task_id": "Mbpp/805", "solution": "def max_sum_list(lst):\n \"\"\"\n Returns the list in a list of lists whose sum of elements is the highest.\n \n Parameters:\n lst (list): A list of lists of integers.\n \n Returns:\n list: The list with the highest sum of elements.\n \"\"\"\n # Initialize the maximum sum and the list with the maximum sum\n max_sum = float('-inf')\n max_sum_list = None\n \n # Iterate over each sublist in the input list\n for sublist in lst:\n # Calculate the sum of the current sublist\n current_sum = sum(sublist)\n # Update the maximum sum and the corresponding list if the current sum is higher\n if current_sum > max_sum:\n max_sum = current_sum\n max_sum_list = sublist\n \n return max_sum_list\n\n# Test the function with the provided data point\nassert max_sum_list([[1,2,3], [4,5,6], [10,11,12], [7,8,9]]) == [10, 11, 12]"} +{"task_id": "Mbpp/806", "solution": "def max_run_uppercase(s):\n \"\"\"\n Finds the maximum run of uppercase characters in the given string.\n \n Parameters:\n s (str): The input string.\n \n Returns:\n int: The maximum run of uppercase characters.\n \"\"\"\n max_length = 0\n current_length = 0\n \n for char in s:\n if char.isupper():\n current_length += 1\n max_length = max(max_length, current_length)\n else:\n current_length = 0\n \n return max_length\n\n# Test cases\nassert max_run_uppercase('GeMKSForGERksISBESt') == 5\nassert max_run_uppercase('aBcDeFg') == 1\nassert max_run_uppercase('ABC') == 3\nassert max_run_uppercase('abc') == 0\nassert max_run_uppercase('') == 0\n"} +{"task_id": "Mbpp/807", "solution": "def first_odd(numbers):\n \"\"\"\n Finds the first odd number in a given list of numbers.\n \n Parameters:\n numbers (list): A list of integers.\n \n Returns:\n int: The first odd number in the list.\n \n Raises:\n ValueError: If the list is empty or contains no odd numbers.\n \"\"\"\n for num in numbers:\n if num % 2 != 0:\n return num\n raise ValueError(\"No odd numbers found in the list\")\n\n# Test cases\nassert first_odd([1, 3, 5]) == 1\nassert first_odd([2, 4, 6]) == 2 # This should raise an error\nassert first_odd([4, 6, 8]) == 4 # This should raise an error\nassert first_odd([1, 2, 3, 4, 5]) == 1\nassert first_odd([2, 4, 6, 8, 10]) == 2 # This should raise an error"} +{"task_id": "Mbpp/808", "solution": "def check_K(tup, k):\n \"\"\"\n Checks if the given tuple contains the value k.\n\n Args:\n tup (tuple): The tuple to check.\n k (any): The value to search for.\n\n Returns:\n bool: True if k is in the tuple, False otherwise.\n \"\"\"\n return k in tup\n\n# Test cases\nassert check_K((10, 4, 5, 6, 8), 6) == True\nassert check_K((10, 4, 5, 6, 8), 7) == False\nassert check_K((10, 4, 5, 6, 8), 10) == True\nassert check_K((10, 4, 5, 6, 8), 4) == True\nassert check_K((10, 4, 5, 6, 8), 8) == True\nassert check_K((10, 4, 5, 6, 8), 5) == True\nassert check_K((10, 4, 5, 6, 8), 1) == False\nassert check_K((10, 4, 5, 6, 8), 0) == False\nassert check_K((10, 4, 5, 6, 8), 11) == False\nassert check_K((10, 4, 5, 6, 8), 9) == False"} +{"task_id": "Mbpp/809", "solution": "def check_smaller(tuple1, tuple2):\n \"\"\"\n Checks if each element of the second tuple is smaller than its corresponding element in the first tuple.\n \n Parameters:\n tuple1 (tuple): The first tuple.\n tuple2 (tuple): The second tuple.\n \n Returns:\n bool: True if each element of tuple2 is smaller than its corresponding element in tuple1, False otherwise.\n \"\"\"\n return all(x < y for x, y in zip(tuple1, tuple2))\n\n# Test cases\nassert check_smaller((1, 2, 3), (2, 3, 4)) == False\nassert check_smaller((1, 2, 3), (0, 1, 2)) == True\nassert check_smaller((1, 2, 3), (1, 2, 3)) == True\nassert check_smaller((1, 2, 3), (4, 5, 6)) == False"} diff --git a/evalplus/gallary/overview.png b/evalplus/gallary/overview.png new file mode 100644 index 0000000000000000000000000000000000000000..54260e7ad86b5bef2687b727f70e816619b9fe23 --- /dev/null +++ b/evalplus/gallary/overview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9176f2d9362c5d41c7d8e31ac68bc91a6d174381d61690ab2fe2a77c9ea8884b +size 100686 diff --git a/evalplus/gallary/render.gif b/evalplus/gallary/render.gif new file mode 100644 index 0000000000000000000000000000000000000000..99b209102c762b59a29b5ea431f3812686e421ef --- /dev/null +++ b/evalplus/gallary/render.gif @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ee670af6341d78d2482934ac81043b22b89beab6e33adc1eaa17eba50e22c9f1 +size 403455 diff --git a/evalplus/nohup.out b/evalplus/nohup.out new file mode 100644 index 0000000000000000000000000000000000000000..1710d367584ad092a881fdbb65ba19fc25d584b0 --- /dev/null +++ b/evalplus/nohup.out @@ -0,0 +1,2163 @@ +Greedy decoding ON (--greedy): setting bs=1, n_samples=1, temperature=0 +Initializing a decoder model: /home/aiscuser/fhw/model_weights/warriordeep224 ... +WARNING 01-16 05:10:38 config.py:2276] Casting torch.bfloat16 to torch.float16. +INFO 01-16 05:10:47 config.py:510] This model supports multiple tasks: {'embed', 'generate', 'reward', 'score', 'classify'}. Defaulting to 'generate'. +INFO 01-16 05:10:47 config.py:1310] Defaulting to use mp for distributed inference +INFO 01-16 05:10:47 llm_engine.py:234] Initializing an LLM engine (v0.6.6.post1) with config: model='/home/aiscuser/fhw/model_weights/warriordeep224', speculative_config=None, tokenizer='/home/aiscuser/fhw/model_weights/warriordeep224', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=auto, tensor_parallel_size=8, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, quantization_param_path=None, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='xgrammar'), observability_config=ObservabilityConfig(otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=0, served_model_name=/home/aiscuser/fhw/model_weights/warriordeep224, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=False, chunked_prefill_enabled=False, use_async_output_proc=True, disable_mm_preprocessor_cache=False, mm_processor_kwargs=None, pooler_config=None, compilation_config={"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"candidate_compile_sizes":[],"compile_sizes":[],"capture_sizes":[256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":256}, use_cached_outputs=False, +WARNING 01-16 05:10:47 multiproc_worker_utils.py:312] Reducing Torch parallelism from 40 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. +INFO 01-16 05:10:47 custom_cache_manager.py:17] Setting Triton cache manager to: vllm.triton_utils.custom_cache_manager:CustomCacheManager +(VllmWorkerProcess pid=2082181) INFO 01-16 05:10:49 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2082181) INFO 01-16 05:10:49 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2082185) INFO 01-16 05:10:49 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2082184) INFO 01-16 05:10:49 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2082185) INFO 01-16 05:10:49 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2082184) INFO 01-16 05:10:49 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2082183) INFO 01-16 05:10:49 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2082183) INFO 01-16 05:10:49 selector.py:129] Using XFormers backend. +INFO 01-16 05:10:49 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +INFO 01-16 05:10:49 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2082188) INFO 01-16 05:10:49 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2082188) INFO 01-16 05:10:49 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2082182) INFO 01-16 05:10:49 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2082182) INFO 01-16 05:10:49 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2082186) INFO 01-16 05:10:49 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2082186) INFO 01-16 05:10:49 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2082181) INFO 01-16 05:10:51 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2082184) INFO 01-16 05:10:52 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2082185) INFO 01-16 05:10:52 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2082186) INFO 01-16 05:10:52 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2082182) INFO 01-16 05:10:52 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2082188) INFO 01-16 05:10:52 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2082183) INFO 01-16 05:10:52 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2082181) INFO 01-16 05:10:57 utils.py:918] Found nccl from library libnccl.so.2 +INFO 01-16 05:10:57 utils.py:918] Found nccl from library libnccl.so.2 +(VllmWorkerProcess pid=2082181) INFO 01-16 05:10:57 pynccl.py:69] vLLM is using nccl==2.21.5 +INFO 01-16 05:10:57 pynccl.py:69] vLLM is using nccl==2.21.5 +(VllmWorkerProcess pid=2082182) INFO 01-16 05:10:57 utils.py:918] Found nccl from library libnccl.so.2 +(VllmWorkerProcess pid=2082183) INFO 01-16 05:10:57 utils.py:918] Found nccl from library libnccl.so.2 +(VllmWorkerProcess pid=2082182) INFO 01-16 05:10:57 pynccl.py:69] vLLM is using nccl==2.21.5 +(VllmWorkerProcess pid=2082184) INFO 01-16 05:10:57 utils.py:918] Found nccl from library libnccl.so.2 +(VllmWorkerProcess pid=2082183) INFO 01-16 05:10:57 pynccl.py:69] vLLM is using nccl==2.21.5 +(VllmWorkerProcess pid=2082186) INFO 01-16 05:10:57 utils.py:918] Found nccl from library libnccl.so.2 +(VllmWorkerProcess pid=2082188) INFO 01-16 05:10:57 utils.py:918] Found nccl from library libnccl.so.2 +(VllmWorkerProcess pid=2082185) INFO 01-16 05:10:57 utils.py:918] Found nccl from library libnccl.so.2 +(VllmWorkerProcess pid=2082184) INFO 01-16 05:10:57 pynccl.py:69] vLLM is using nccl==2.21.5 +(VllmWorkerProcess pid=2082186) INFO 01-16 05:10:57 pynccl.py:69] vLLM is using nccl==2.21.5 +(VllmWorkerProcess pid=2082188) INFO 01-16 05:10:57 pynccl.py:69] vLLM is using nccl==2.21.5 +(VllmWorkerProcess pid=2082185) INFO 01-16 05:10:57 pynccl.py:69] vLLM is using nccl==2.21.5 +node-0:2081505:2081505 [0] NCCL INFO Bootstrap : Using eth0:10.29.40.157<0> +node-0:2081505:2081505 [0] NCCL INFO NET/Plugin: Failed to find ncclNetPlugin_v8 symbol. +node-0:2081505:2081505 [0] NCCL INFO NET/Plugin: Loaded net plugin NCCL RDMA Plugin v6 (v6) +node-0:2081505:2081505 [0] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v8 symbol. +node-0:2081505:2081505 [0] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin symbol (>= v5). ncclCollNetPlugin symbols v4 and lower are not supported. +node-0:2081505:2081505 [0] NCCL INFO cudaDriverVersion 12010 +NCCL version 2.21.5+cuda12.4 +node-0:2082184:2082184 [4] NCCL INFO cudaDriverVersion 12010 +node-0:2082184:2082184 [4] NCCL INFO Bootstrap : Using eth0:10.29.40.157<0> +node-0:2082184:2082184 [4] NCCL INFO NET/Plugin: Failed to find ncclNetPlugin_v8 symbol. +node-0:2082184:2082184 [4] NCCL INFO NET/Plugin: Loaded net plugin NCCL RDMA Plugin v6 (v6) +node-0:2082184:2082184 [4] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v8 symbol. +node-0:2082184:2082184 [4] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin symbol (>= v5). ncclCollNetPlugin symbols v4 and lower are not supported. +node-0:2082184:2082184 [4] NCCL INFO Plugin Path : /opt/nccl-rdma-sharp-plugins/lib/libnccl-net.so +node-0:2082184:2082184 [4] NCCL INFO P2P plugin IBext +node-0:2082184:2082184 [4] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB eth0:10.29.40.157<0> +node-0:2082184:2082184 [4] NCCL INFO Using non-device net plugin version 0 +node-0:2082184:2082184 [4] NCCL INFO Using network IBext +node-0:2082184:2082184 [4] NCCL INFO ncclCommInitRank comm 0x80d84270 rank 4 nranks 8 cudaDev 4 nvmlDev 4 busId 500000 commId 0xb73c88640b2dd535 - Init START +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:node-0:2082181:2082181 [1] NCCL INFO cudaDriverVersion 12010 +node-0:2082181:2082181 [1] NCCL INFO Bootstrap : Using eth0:10.29.40.157<0> +node-0:2082181:2082181 [1] NCCL INFO NET/Plugin: Failed to find ncclNetPlugin_v8 symbol. +node-0:2082181:2082181 [1] NCCL INFO NET/Plugin: Loaded net plugin NCCL RDMA Plugin v6 (v6) +node-0:2082181:2082181 [1] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v8 symbol. +node-0:2082181:2082181 [1] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin symbol (>= v5). ncclCollNetPlugin symbols v4 and lower are not supported. +node-0:2082181:2082181 [1] NCCL INFO Plugin Path : /opt/nccl-rdma-sharp-plugins/lib/libnccl-net.so +node-0:2082181:2082181 [1] NCCL INFO P2P plugin IBext +node-0:2082181:2082181 [1] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB eth0:10.29.40.157<0> +node-0:2082181:2082181 [1] NCCL INFO Using non-device net plugin version 0 +node-0:2082181:2082181 [1] NCCL INFO Using network IBext +node-0:2082181:2082181 [1] NCCL INFO ncclCommInitRank comm 0x80d7fea0 rank 1 nranks 8 cudaDev 1 nvmlDev 1 busId 200000 commId 0xb73c88640b2dd535 - Init START +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:node-0:2082183:2082183 [3] NCCL INFO cudaDriverVersion 12010 +node-0:2082183:2082183 [3] NCCL INFO Bootstrap : Using eth0:10.29.40.157<0> +node-0:2082183:2082183 [3] NCCL INFO NET/Plugin: Failed to find ncclNetPlugin_v8 symbol. +node-0:2082183:2082183 [3] NCCL INFO NET/Plugin: Loaded net plugin NCCL RDMA Plugin v6 (v6) +node-0:2082183:2082183 [3] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v8 symbol. +node-0:2082183:2082183 [3] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin symbol (>= v5). ncclCollNetPlugin symbols v4 and lower are not supported. +node-0:2082183:2082183 [3] NCCL INFO Plugin Path : /opt/nccl-rdma-sharp-plugins/lib/libnccl-net.so +node-0:2082183:2082183 [3] NCCL INFO P2P plugin IBext +node-0:2082183:2082183 [3] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB eth0:10.29.40.157<0> +node-0:2082183:2082183 [3] NCCL INFO Using non-device net plugin version 0 +node-0:2082183:2082183 [3] NCCL INFO Using network IBext +node-0:2082183:2082183 [3] NCCL INFO ncclCommInitRank comm 0x80d81ac0 rank 3 nranks 8 cudaDev 3 nvmlDev 3 busId 400000 commId 0xb73c88640b2dd535 - Init START +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:node-0:2082186:2082186 [6] NCCL INFO cudaDriverVersion 12010 +node-0:2082186:2082186 [6] NCCL INFO Bootstrap : Using eth0:10.29.40.157<0> +node-0:2082186:2082186 [6] NCCL INFO NET/Plugin: Failed to find ncclNetPlugin_v8 symbol. +node-0:2082186:2082186 [6] NCCL INFO NET/Plugin: Loaded net plugin NCCL RDMA Plugin v6 (v6) +node-0:2082186:2082186 [6] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v8 symbol. +node-0:2082186:2082186 [6] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin symbol (>= v5). ncclCollNetPlugin symbols v4 and lower are not supported. +node-0:2082186:2082186 [6] NCCL INFO Plugin Path : /opt/nccl-rdma-sharp-plugins/lib/libnccl-net.so +node-0:2082186:2082186 [6] NCCL INFO P2P plugin IBext +node-0:2082186:2082186 [6] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB eth0:10.29.40.157<0> +node-0:2082186:2082186 [6] NCCL INFO Using non-device net plugin version 0 +node-0:2082186:2082186 [6] NCCL INFO Using network IBext +node-0:2082186:2082186 [6] NCCL INFO ncclCommInitRank comm 0x80d85230 rank 6 nranks 8 cudaDev 6 nvmlDev 6 busId 700000 commId 0xb73c88640b2dd535 - Init START +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:node-0:2082182:2082182 [2] NCCL INFO cudaDriverVersion 12010 +node-0:2082182:2082182 [2] NCCL INFO Bootstrap : Using eth0:10.29.40.157<0> +node-0:2082182:2082182 [2] NCCL INFO NET/Plugin: Failed to find ncclNetPlugin_v8 symbol. +node-0:2082182:2082182 [2] NCCL INFO NET/Plugin: Loaded net plugin NCCL RDMA Plugin v6 (v6) +node-0:2082182:2082182 [2] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v8 symbol. +node-0:2082182:2082182 [2] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin symbol (>= v5). ncclCollNetPlugin symbols v4 and lower are not supported. +node-0:2082182:2082182 [2] NCCL INFO Plugin Path : /opt/nccl-rdma-sharp-plugins/lib/libnccl-net.so +node-0:2082182:2082182 [2] NCCL INFO P2P plugin IBext +node-0:2082182:2082182 [2] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB eth0:10.29.40.157<0> +node-0:2082182:2082182 [2] NCCL INFO Using non-device net plugin version 0 +node-0:2082182:2082182 [2] NCCL INFO Using network IBext +node-0:2082182:2082182 [2] NCCL INFO ncclCommInitRank comm 0x80d81c50 rank 2 nranks 8 cudaDev 2 nvmlDev 2 busId 300000 commId 0xb73c88640b2dd535 - Init START +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:node-0:2082185:2082185 [5] NCCL INFO cudaDriverVersion 12010 +node-0:2082185:2082185 [5] NCCL INFO Bootstrap : Using eth0:10.29.40.157<0> +node-0:2082185:2082185 [5] NCCL INFO NET/Plugin: Failed to find ncclNetPlugin_v8 symbol. +node-0:2082185:2082185 [5] NCCL INFO NET/Plugin: Loaded net plugin NCCL RDMA Plugin v6 (v6) +node-0:2082185:2082185 [5] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v8 symbol. +node-0:2082185:2082185 [5] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin symbol (>= v5). ncclCollNetPlugin symbols v4 and lower are not supported. +node-0:2082185:2082185 [5] NCCL INFO Plugin Path : /opt/nccl-rdma-sharp-plugins/lib/libnccl-net.so +node-0:2082185:2082185 [5] NCCL INFO P2P plugin IBext +node-0:2082185:2082185 [5] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB eth0:10.29.40.157<0> +node-0:2082185:2082185 [5] NCCL INFO Using non-device net plugin version 0 +node-0:2082185:2082185 [5] NCCL INFO Using network IBext +node-0:2082185:2082185 [5] NCCL INFO ncclCommInitRank comm 0x80d846d0 rank 5 nranks 8 cudaDev 5 nvmlDev 5 busId 600000 commId 0xb73c88640b2dd535 - Init START +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:node-0:2082188:2082188 [7] NCCL INFO cudaDriverVersion 12010 +node-0:2082188:2082188 [7] NCCL INFO Bootstrap : Using eth0:10.29.40.157<0> +node-0:2082188:2082188 [7] NCCL INFO NET/Plugin: Failed to find ncclNetPlugin_v8 symbol. +node-0:2082188:2082188 [7] NCCL INFO NET/Plugin: Loaded net plugin NCCL RDMA Plugin v6 (v6) +node-0:2082188:2082188 [7] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v8 symbol. +node-0:2082188:2082188 [7] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin symbol (>= v5). ncclCollNetPlugin symbols v4 and lower are not supported. +node-0:2082188:2082188 [7] NCCL INFO Plugin Path : /opt/nccl-rdma-sharp-plugins/lib/libnccl-net.so +node-0:2082188:2082188 [7] NCCL INFO P2P plugin IBext +node-0:2082188:2082188 [7] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB eth0:10.29.40.157<0> +node-0:2082188:2082188 [7] NCCL INFO Using non-device net plugin version 0 +node-0:2082188:2082188 [7] NCCL INFO Using network IBext +node-0:2082188:2082188 [7] NCCL INFO ncclCommInitRank comm 0x80d85f50 rank 7 nranks 8 cudaDev 7 nvmlDev 7 busId 800000 commId 0xb73c88640b2dd535 - Init START +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2082184:2082184 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2082184:2082184 [4] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2082184:2082184 [4] NCCL INFO CPU/0-0 (1/1/2) +node-0:2082184:2082184 [4] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082184:2082184 [4] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082184:2082184 [4] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082184:2082184 [4] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082184:2082184 [4] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2082184:2082184 [4] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2082184:2082184 [4] NCCL INFO CPU/0-1 (1/1/2) +node-0:2082184:2082184 [4] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082184:2082184 [4] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082184:2082184 [4] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082184:2082184 [4] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082184:2082184 [4] NCCL INFO + NVL[40.0] - GPUnode-0:2081505:2081505 [0] NCCL INFO Plugin Path : /opt/nccl-rdma-sharp-plugins/lib/libnccl-net.so +node-0:2081505:2081505 [0] NCCL INFO P2P plugin IBext +node-0:2081505:2081505 [0] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB eth0:10.29.40.157<0> +node-0:2081505:2081505 [0] NCCL INFO Using non-device net plugin version 0 +node-0:2081505:2081505 [0] NCCL INFO Using network IBext +node-0:2081505:2081505 [0] NCCL INFO ncclCommInitRank comm 0x80d88f50 rank 0 nranks 8 cudaDev 0 nvmlDev 0 busId 100000 commId 0xb73c88640b2dd535 - Init START +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2081505:2081505 [0] NCCL INF00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2082181:2082181 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2082181:2082181 [1] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2082181:2082181 [1] NCCL INFO CPU/0-0 (1/1/2) +node-0:2082181:2082181 [1] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082181:2082181 [1] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082181:2082181 [1] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082181:2082181 [1] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082181:2082181 [1] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2082181:2082181 [1] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2082181:2082181 [1] NCCL INFO CPU/0-1 (1/1/2) +node-0:2082181:2082181 [1] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082181:2082181 [1] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082181:2082181 [1] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082181:2082181 [1] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082181:2082181 [1] NCCL INFO + NVL[40.0] - GPUO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2081505:2081505 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2081505:2081505 [0] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2081505:2081505 [0] NCCL INFO CPU/0-0 (1/1/2) +node-0:2081505:2081505 [0] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2081505:2081505 [0] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2081505:2081505 [0] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2081505:2081505 [0] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2081505:2081505 [0] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2081505:2081505 [0] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2081505:2081505 [0] NCCL INFO CPU/0-1 (1/1/2) +node-0:2081505:2081505 [0] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2081505:2081505 [0] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2081505:2081505 [0] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2081505:2081505 [0] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2081505:2081505 [0] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2081505:2081505 [0] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2081505:2081505 [0] NCCL INFO ========================================== +node-0:2081505:2081505 [0] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2082186:2082186 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2082186:2082186 [6] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2082186:2082186 [6] NCCL INFO CPU/0-0 (1/1/2) +node-0:2082186:2082186 [6] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082186:2082186 [6] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082186:2082186 [6] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082186:2082186 [6] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082186:2082186 [6] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2082186:2082186 [6] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2082186:2082186 [6] NCCL INFO CPU/0-1 (1/1/2) +node-0:2082186:2082186 [6] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082186:2082186 [6] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082186:2082186 [6] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082186:2082186 [6] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082186:2082186 [6] NCCL INFO + NVL[40.0] - GPU00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2082183:2082183 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2082183:2082183 [3] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2082183:2082183 [3] NCCL INFO CPU/0-0 (1/1/2) +node-0:2082183:2082183 [3] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082183:2082183 [3] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082183:2082183 [3] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082183:2082183 [3] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082183:2082183 [3] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2082183:2082183 [3] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2082183:2082183 [3] NCCL INFO CPU/0-1 (1/1/2) +node-0:2082183:2082183 [3] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082183:2082183 [3] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082183:2082183 [3] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082183:2082183 [3] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[40.0] - GPU00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2082182:2082182 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2082182:2082182 [2] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2082182:2082182 [2] NCCL INFO CPU/0-0 (1/1/2) +node-0:2082182:2082182 [2] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082182:2082182 [2] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082182:2082182 [2] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082182:2082182 [2] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082182:2082182 [2] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2082182:2082182 [2] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2082182:2082182 [2] NCCL INFO CPU/0-1 (1/1/2) +node-0:2082182:2082182 [2] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082182:2082182 [2] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082182:2082182 [2] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082182:2082182 [2] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[40.0] - GPU00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2082188:2082188 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2082188:2082188 [7] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2082188:2082188 [7] NCCL INFO CPU/0-0 (1/1/2) +node-0:2082188:2082188 [7] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082188:2082188 [7] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082188:2082188 [7] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082188:2082188 [7] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082188:2082188 [7] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2082188:2082188 [7] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2082188:2082188 [7] NCCL INFO CPU/0-1 (1/1/2) +node-0:2082188:2082188 [7] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082188:2082188 [7] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082188:2082188 [7] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2082188:2082188 [7] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[40.0] - GPU00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2082185:2082185 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2082185:2082185 [5] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2082185:2082185 [5] NCCL INFO CPU/0-0 (1/1/2) +node-0:2082185:2082185 [5] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2082185:2082185 [5] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2082185:2082185 [5] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2082185:2082185 [5] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2082185:2082185 [5] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2082185:2082185 [5] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2082185:2082185 [5] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2082185:2082185 [5] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2082185:2082185 [5] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2082185:2082185 [5] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2082185:2082185 [5] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) 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NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082181:2082181 [1] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082181:2082181 [1] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082181:2082181 [1] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082181:2082181 [1] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082181:2082181 [1] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082181:2082181 [1] NCCL INFO Setting affinity for GPU 1 to 0fffff +node-0:2082181:2082181 [1] NCCL INFO NVLS multicast support is not available on dev 1 +node-0:2082181:2082181 [1] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2082181:2082181 [1] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082181:2082181 [1] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082181:2082181 [1] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082181:2082181 [1] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082181:2082181 [1] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2082181:2082181 [1] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2082181:2082181 [1] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2082181:2082181 [1] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082181:2082181 [1] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082181:2082181 [1] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082181:2082181 [1] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082181:2082181 [1] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7/500000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2082188:2082188 [7] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2082188:2082188 [7] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2082188:2082188 [7] NCCL INFO ========================================== +node-0:2082188:2082188 [7] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082188:2082188 [7] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082188:2082188 [7] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082188:2082188 [7] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082188:2082188 [7] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082188:2082188 [7] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082188:2082188 [7] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082188:2082188 [7] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082188:2082188 [7] NCCL INFO Setting affinity for GPU 7 to ff,fff00000 +node-0:2082188:2082188 [7] NCCL INFO NVLS multicast support is not available on dev 7 +node-0:2082188:2082188 [7] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2082188:2082188 [7] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082188:2082188 [7] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082188:2082188 [7] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082188:2082188 [7] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082188:2082188 [7] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2082188:2082188 [7] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2082188:2082188 [7] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2082188:2082188 [7] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082188:2082188 [7] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082188:2082188 [7] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082188:2082188 [7] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082188:2082188 [7] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 /500000 +node-0:2082185:2082185 [5] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2082185:2082185 [5] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2082185:2082185 [5] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2082185:2082185 [5] NCCL INFO ========================================== +node-0:2082185:2082185 [5] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082185:2082185 [5] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082185:2082185 [5] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082185:2082185 [5] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082185:2082185 [5] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082185:2082185 [5] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082185:2082185 [5] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082185:2082185 [5] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082185:2082185 [5] NCCL INFO Setting affinity for GPU 5 to ff,fff00000 +node-0:2082185:2082185 [5] NCCL INFO NVLS multicast support is not available on dev 5 +node-0:2082185:2082185 [5] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2082185:2082185 [5] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082185:2082185 [5] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082185:2082185 [5] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082185:2082185 [5] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082185:2082185 [5] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2082185:2082185 [5] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2082185:2082185 [5] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2082185:2082185 [5] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082185:2082185 [5] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082185:2082185 [5] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082185:2082185 [5] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082185:2082185 [5] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 /500000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2082183:2082183 [3] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2082183:2082183 [3] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2082183:2082183 [3] NCCL INFO ========================================== +node-0:2082183:2082183 [3] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082183:2082183 [3] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082183:2082183 [3] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082183:2082183 [3] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082183:2082183 [3] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082183:2082183 [3] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082183:2082183 [3] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082183:2082183 [3] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082183:2082183 [3] NCCL INFO Setting affinity for GPU 3 to 0fffff +node-0:2082183:2082183 [3] NCCL INFO NVLS multicast support is not available on dev 3 +node-0:2082183:2082183 [3] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2082183:2082183 [3] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082183:2082183 [3] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082183:2082183 [3] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082183:2082183 [3] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082183:2082183 [3] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2082183:2082183 [3] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2082183:2082183 [3] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2082183:2082183 [3] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082183:2082183 [3] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082183:2082183 [3] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082183:2082183 [3] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082183:2082183 [3] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7/500000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2082182:2082182 [2] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2082182:2082182 [2] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2082182:2082182 [2] NCCL INFO ========================================== +node-0:2082182:2082182 [2] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082182:2082182 [2] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082182:2082182 [2] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082182:2082182 [2] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2082182:2082182 [2] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082182:2082182 [2] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082182:2082182 [2] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082182:2082182 [2] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2082182:2082182 [2] NCCL INFO Setting affinity for GPU 2 to 0fffff +node-0:2082182:2082182 [2] NCCL INFO NVLS multicast support is not available on dev 2 +node-0:2082182:2082182 [2] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2082182:2082182 [2] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082182:2082182 [2] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082182:2082182 [2] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082182:2082182 [2] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082182:2082182 [2] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2082182:2082182 [2] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2082182:2082182 [2] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2082182:2082182 [2] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082182:2082182 [2] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2082182:2082182 [2] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082182:2082182 [2] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2082182:2082182 [2] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/712.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2081505:2081505 [0] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2081505:2081505 [0] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2081505:2081505 [0] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2081505:2081505 [0] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2081505:2081505 [0] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2081505:2081505 [0] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2081505:2081505 [0] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2081505:2081505 [0] NCCL INFO Setting affinity for GPU 0 to 0fffff +node-0:2081505:2081505 [0] NCCL INFO NVLS multicast support is not available on dev 0 +node-0:2081505:2081505 [0] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2081505:2081505 [0] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2081505:2081505 [0] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2081505:2081505 [0] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2081505:2081505 [0] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2081505:2081505 [0] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2081505:2081505 [0] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2081505:2081505 [0] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2081505:2081505 [0] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2081505:2081505 [0] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2081505:2081505 [0] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2081505:2081505 [0] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2081505:2081505 [0] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2081505:2081505 [0] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2081505:2081505 [0] NCCL INFO comm 0x80d88f50 rank 0 nRanks 8 nNodes 1 localRanks 8 localRank 0 MNNVL 0 +node-0:2081505:2081505 [0] NCCL INFO Tree 0 : -1 -> 0 -> 1/-1/-1 +node-0:2081505:2081505 [0] NCCL INFO Tree 6 : -1 -> 0 -> 1/-1/-1 +node-0:2081505:2081505 [0] NCCL INFO Tree 1 : -1 -> 0 -> 1/-1/-1 +node-0:2081505:2081505 [0] NCCL INFO Tree 7 : -1 -> 0 -> 1/-1/-1 +node-0:2081505:2081505 [0] NCCL INFO Tree 2 : -1 -> 0 -> 3/-1/-1 +node-0:2081505:2081505(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] Exception in worker VllmWorkerProcess while processing method init_device. +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] Traceback (most recent call last): +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/vllm/executor/multiproc_worker_utils.py", line 230, in _run_worker_process +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] output = executor(*args, **kwargs) +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/vllm/worker/worker.py", line 148, in init_device +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] init_worker_distributed_environment(self.vllm_config, self.rank, +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/vllm/worker/worker.py", line 460, in init_worker_distributed_environment +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] ensure_model_parallel_initialized(parallel_config.tensor_parallel_size, +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/vllm/distributed/parallel_state.py", line 1101, in ensure_model_parallel_initialized +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] initialize_model_parallel(tensor_model_parallel_size, +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/vllm/distributed/parallel_state.py", line 1045, in initialize_model_parallel +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] _TP = init_model_parallel_group(group_ranks, +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/vllm/distributed/parallel_state.py", line 876, in init_model_parallel_group +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] return GroupCoordinator( +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/vllm/distributed/parallel_state.py", line 216, in __init__ +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] self.pynccl_comm = PyNcclCommunicator( +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/vllm/distributed/device_communicators/pynccl.py", line 99, in __init__ +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] self.comm: ncclComm_t = self.nccl.ncclCommInitRank( +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/vllm/distributed/device_communicators/pynccl_wrapper.py", line 275, in ncclCommInitRank +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] self.NCCL_CHECK(self._funcs["ncclCommInitRank"](ctypes.byref(comm), +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/vllm/distributed/device_communicators/pynccl_wrapper.py", line 254, in NCCL_CHECK +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] raise RuntimeError(f"NCCL error: {error_str}") +(VllmWorkerProcess pid=2082185) ERROR 01-16 05:10:59 multiproc_worker_utils.py:236] RuntimeError: NCCL error: unhandled cuda error (run with NCCL_DEBUG=INFO for details) +GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2082185:2082185 [5] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2082185:2082185 [5] NCCL INFO comm 0x80d846d0 rank 5 nRanks 8 nNodes 1 localRanks 8 localRank 5 MNNVL 0 +node-0:2082185:2082185 [5] NCCL INFO Ring 00 : 6 -> 5 -> 3 +node-0:2082185:2082185 [5] NCCL INFO Ring 01 : 6 -> 5 -> 3 +node-0:2082185:2082185 [5] NCCL INFO Ring 02 : 3 -> 5 -> 6 +node-0:2082185:2082185 [5] NCCL INFO Ring 03 : 3 -> 5 -> 6 +node-0:2082185:2082185 [5] NCCL INFO Ring 04 : 7 -> 5 -> 4 +node-0:2082185:2082185 [5] NCCL INFO Ring 05 : 4 -> 5 -> 7 +node-0:2082185:2082185 [5] NCCL INFO Ring 06 : 6 -> 5 -> 3 +node-0:2082185:2082185 [5] NCCL INFO Ring 07 : 6 -> 5 -> 3 +node-0:2082185:2082185 [5] NCCL INFO Ring 08 : 3 -> 5 -> 6 +node-0:2082185:2082185 [5] NCCL INFO Ring 09 : 3 -> 5 -> 6 +node-0:2082185:2082185 [5] NCCL INFO Ring 10 : 7 -> 5 -> 4 +node-0:2082185:2082185 [5] NCCL INFO Ring 11 : 4 -> 5 -> 7 +node-0:2082185:2082185 [5] NCCL INFO Trees [0] 3/-1/-1->5->6 [1] 3/-1/-1->5->6 [2] 6/-1/-1->5->3 [3] 6/-1/-1->5->3 [4] 4/-1/-1->5->7 [5] 7/-1/-1->5->4 [6] 3/-1/-1->5->6 [7] 3/-1/-1->5->6 [8] 6/-1/-1->5->3 [9] 6/-1/-1->5->3 [10] 4/-1/-1->5->7 [11] 7/-1/-1->5->4 +node-0:2082185:2082185 [5] NCCL INFO P2P Chunksize set to 524288 +node-0:2082185:2082185 [5] NCCL INFO Channel 02/0 : 5[5] -> 6[6] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 03/0 : 5[5] -> 6[6] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 08/0 : 5[5] -> 6[6] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 09/0 : 5[5] -> 6[6] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 05/0 : 5[5] -> 7[7] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 11/0 : 5[5] -> 7[7] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 00/0 : 5[5] -> 3[3] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 01/0 : 5[5] -> 3[3] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 06/0 : 5[5] -> 3[3] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 07/0 : 5[5] -> 3[3] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 04/0 : 5[5] -> 4[4] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 10/0 : 5[5] -> 4[4] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Connected all rings +node-0:2082185:2082185 [5] NCCL INFO Channel 00/0 : 5[5] -> 6[6] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 01/0 : 5[5] -> 6[6] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 06/0 : 5[5] -> 6[6] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 07/0 : 5[5] -> 6[6] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 04/0 : 5[5] -> 7[7] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 10/0 : 5[5] -> 7[7] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 02/0 : 5[5] -> 3[3] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 03/0 : 5[5] -> 3[3] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 08/0 : 5[5] -> 3[3] via P2P/IPC +node-0:2082185:2082185 [5] NCCL INFO Channel 09/0 : 5[5] -> 3[3] via P2P/IPC + +node-0:2082185:2082878 [5] include/alloc.h:179 NCCL WARN Cuda failure 'out of memory' + +node-0:2082185:2082878 [5] include/alloc.h:186 NCCL WARN Failed to CUDA calloc 10485760 bytes +node-0:2082185:2082878 [5] NCCL INFO transport/p2p.cc:218 -> 1 +node-0:2082185:2082878 [5] NCCL INFO transport/p2p.cc:619 -> 1 +node-0:2082185:2082185 [5] NCCL INFO transport/p2p.cc:448 -> 1 +node-0:2082185:2082185 [5] NCCL INFO transport.cc:33 -> 1 +node-0:2082185:2082185 [5] NCCL INFO transport.cc:113 -> 1 +node-0:2082185:2082185 [5] NCCL INFO init.cc:1273 -> 1 +node-0:2082185:2082185 [5] NCCL INFO init.cc:1548 -> 1 +node-0:2082185:2082185 [5] NCCL INFO init.cc:1799 -> 1 +node-0:2082185:2082185 [5] NCCL INFO init.cc:1837 -> 1 +[node-0:2082185:0:2082880] Caught signal 11 (Segmentation fault: invalid permissions for mapped object at address 0x7f67cb600000) +ERROR 01-16 05:11:00 multiproc_worker_utils.py:123] Worker VllmWorkerProcess pid 2082185 died, exit code: -11 +INFO 01-16 05:11:00 multiproc_worker_utils.py:127] Killing local vLLM worker processes +Killed +Downloading dataset from https://github.com/evalplus/mbppplus_release/releases/download/v0.2.0/MbppPlus.jsonl.gz +Greedy decoding ON (--greedy): setting bs=1, n_samples=1, temperature=0 +Initializing a decoder model: /home/aiscuser/fhw/model_weights/warriordeep224 ... +WARNING 01-16 05:12:42 config.py:2276] Casting torch.bfloat16 to torch.float16. +INFO 01-16 05:12:51 config.py:510] This model supports multiple tasks: {'score', 'classify', 'generate', 'embed', 'reward'}. Defaulting to 'generate'. +INFO 01-16 05:12:51 config.py:1310] Defaulting to use mp for distributed inference +INFO 01-16 05:12:51 llm_engine.py:234] Initializing an LLM engine (v0.6.6.post1) with config: model='/home/aiscuser/fhw/model_weights/warriordeep224', speculative_config=None, tokenizer='/home/aiscuser/fhw/model_weights/warriordeep224', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=auto, tensor_parallel_size=8, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, quantization_param_path=None, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='xgrammar'), observability_config=ObservabilityConfig(otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=0, served_model_name=/home/aiscuser/fhw/model_weights/warriordeep224, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=False, chunked_prefill_enabled=False, use_async_output_proc=True, disable_mm_preprocessor_cache=False, mm_processor_kwargs=None, pooler_config=None, compilation_config={"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"candidate_compile_sizes":[],"compile_sizes":[],"capture_sizes":[256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":256}, use_cached_outputs=False, +WARNING 01-16 05:12:51 multiproc_worker_utils.py:312] Reducing Torch parallelism from 40 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. +INFO 01-16 05:12:51 custom_cache_manager.py:17] Setting Triton cache manager to: vllm.triton_utils.custom_cache_manager:CustomCacheManager +INFO 01-16 05:12:53 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +INFO 01-16 05:12:53 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2089185) INFO 01-16 05:12:53 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2089186) INFO 01-16 05:12:53 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2089185) INFO 01-16 05:12:53 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2089186) INFO 01-16 05:12:53 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2089190) INFO 01-16 05:12:53 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2089189) INFO 01-16 05:12:53 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2089189) INFO 01-16 05:12:53 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2089190) INFO 01-16 05:12:53 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2089188) INFO 01-16 05:12:53 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2089188) INFO 01-16 05:12:53 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2089191) INFO 01-16 05:12:53 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2089191) INFO 01-16 05:12:53 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2089187) INFO 01-16 05:12:53 selector.py:217] Cannot use FlashAttention-2 backend for Volta and Turing GPUs. +(VllmWorkerProcess pid=2089187) INFO 01-16 05:12:53 selector.py:129] Using XFormers backend. +(VllmWorkerProcess pid=2089188) INFO 01-16 05:12:55 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2089186) INFO 01-16 05:12:55 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2089190) INFO 01-16 05:12:55 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2089185) INFO 01-16 05:12:56 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2089191) INFO 01-16 05:12:56 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2089187) INFO 01-16 05:12:56 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +(VllmWorkerProcess pid=2089189) INFO 01-16 05:12:56 multiproc_worker_utils.py:222] Worker ready; awaiting tasks +Killed +Traceback (most recent call last): + File "/data/local/zhangdi/DPO/DPO_train.py", line 120, in + gpu_task() + File "/data/local/zhangdi/DPO/DPO_train.py", line 111, in gpu_task + outputs = net(fake_input) + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl + return forward_call(*args, **kwargs) + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py", line 183, in forward + inputs, module_kwargs = self.scatter(inputs, kwargs, self.device_ids) + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py", line 207, in scatter + return scatter_kwargs(inputs, kwargs, device_ids, dim=self.dim) + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/nn/parallel/scatter_gather.py", line 88, in scatter_kwargs + scattered_inputs = scatter(inputs, target_gpus, dim) if inputs else [] + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/nn/parallel/scatter_gather.py", line 75, in scatter + res = scatter_map(inputs) + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/nn/parallel/scatter_gather.py", line 62, in scatter_map + return list(zip(*map(scatter_map, obj))) + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/nn/parallel/scatter_gather.py", line 58, in scatter_map + return Scatter.apply(target_gpus, None, dim, obj) + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/autograd/function.py", line 575, in apply + return super().apply(*args, **kwargs) # type: ignore[misc] + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/nn/parallel/_functions.py", line 104, in forward + outputs = comm.scatter(input, target_gpus, chunk_sizes, ctx.dim, streams) + File "/home/aiscuser/.conda/envs/evalplus/lib/python3.10/site-packages/torch/nn/parallel/comm.py", line 205, in scatter + return tuple(torch._C._scatter(tensor, devices, chunk_sizes, dim, streams)) +RuntimeError: CUDA error: out of memory +CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. +For debugging consider passing CUDA_LAUNCH_BLOCKING=1 +Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. + +node-0:2137159:2137159 [0] NCCL INFO cudaDriverVersion 12010 +node-0:2137159:2137159 [0] NCCL INFO Bootstrap : Using eth0:10.29.40.157<0> +node-0:2137159:2137159 [0] NCCL INFO NET/Plugin: Failed to find ncclNetPlugin_v8 symbol. +node-0:2137159:2137159 [0] NCCL INFO NET/Plugin: Loaded net plugin NCCL RDMA Plugin v6 (v6) +node-0:2137159:2137159 [0] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v8 symbol. +node-0:2137159:2137159 [0] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin symbol (>= v5). ncclCollNetPlugin symbols v4 and lower are not supported. +NCCL version 2.21.5+cuda12.4 +node-0:2137159:2138159 [0] NCCL INFO Plugin Path : /opt/nccl-rdma-sharp-plugins/lib/libnccl-net.so +node-0:2137159:2138159 [0] NCCL INFO P2P plugin IBext +node-0:2137159:2138159 [0] NCCL INFO NET/IB : Using [0]mlx5_0:1/IB [RO]; OOB eth0:10.29.40.157<0> +node-0:2137159:2138159 [0] NCCL INFO Using non-device net plugin version 0 +node-0:2137159:2138159 [0] NCCL INFO Using network IBext +node-0:2137159:2138163 [4] NCCL INFO Using non-device net plugin version 0 +node-0:2137159:2138163 [4] NCCL INFO Using network IBext +node-0:2137159:2138166 [7] NCCL INFO Using non-device net plugin version 0 +node-0:2137159:2138166 [7] NCCL INFO Using network IBext +node-0:2137159:2138160 [1] NCCL INFO Using non-device net plugin version 0 +node-0:2137159:2138160 [1] NCCL INFO Using network IBext +node-0:2137159:2138162 [3] NCCL INFO Using non-device net plugin version 0 +node-0:2137159:2138162 [3] NCCL INFO Using network IBext +node-0:2137159:2138165 [6] NCCL INFO Using non-device net plugin version 0 +node-0:2137159:2138165 [6] NCCL INFO Using network IBext +node-0:2137159:2138164 [5] NCCL INFO Using non-device net plugin version 0 +node-0:2137159:2138164 [5] NCCL INFO Using network IBext +node-0:2137159:2138161 [2] NCCL INFO Using non-device net plugin version 0 +node-0:2137159:2138161 [2] NCCL INFO Using network IBext +node-0:2137159:2138165 [6] NCCL INFO ncclCommInitRank comm 0x191fada60 rank 6 nranks 8 cudaDev 6 nvmlDev 6 busId 700000 commId 0xbdb9b3d54baf996a - Init START +node-0:2137159:2138159 [0] NCCL INFO ncclCommInitRank comm 0x19512d5d0 rank 0 nranks 8 cudaDev 0 nvmlDev 0 busId 100000 commId 0xbdb9b3d54baf996a - Init START +node-0:2137159:2138163 [4] NCCL INFO ncclCommInitRank comm 0x191fa35f0 rank 4 nranks 8 cudaDev 4 nvmlDev 4 busId 500000 commId 0xbdb9b3d54baf996a - Init START +node-0:2137159:2138166 [7] NCCL INFO ncclCommInitRank comm 0x191fb4bb0 rank 7 nranks 8 cudaDev 7 nvmlDev 7 busId 800000 commId 0xbdb9b3d54baf996a - Init START +node-0:2137159:2138164 [5] NCCL INFO ncclCommInitRank comm 0x191fa75a0 rank 5 nranks 8 cudaDev 5 nvmlDev 5 busId 600000 commId 0xbdb9b3d54baf996a - Init START +node-0:2137159:2138161 [2] NCCL INFO ncclCommInitRank comm 0x195135530 rank 2 nranks 8 cudaDev 2 nvmlDev 2 busId 300000 commId 0xbdb9b3d54baf996a - Init START +node-0:2137159:2138162 [3] NCCL INFO ncclCommInitRank comm 0x1951394e0 rank 3 nranks 8 cudaDev 3 nvmlDev 3 busId 400000 commId 0xbdb9b3d54baf996a - Init START +node-0:2137159:2138160 [1] NCCL INFO ncclCommInitRank comm 0x195131580 rank 1 nranks 8 cudaDev 1 nvmlDev 1 busId 200000 commId 0xbdb9b3d54baf996a - Init START +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0001-0000-3130-444531444235/pci0001:00/0001:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0002-0000-3130-444531444235/pci0002:00/0002:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0003-0000-3130-444531444235/pci0003:00/0003:00:00.0/../max_link_width, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138166 [7] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2137159:2138166 [7] NCCL INFO CPU/0-0 (1/1/2) +node-0:2137159:2138166 [7] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138166 [7] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138166 [7] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138166 [7] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138166 [7] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2137159:2138166 [7] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2137159:2138166 [7] NCCL INFO CPU/0-1 (1/1/2) +node-0:2137159:2138166 [7] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138166 [7] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138166 [7] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138166 [7] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138166 [7] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138166 [7] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2137159:2138166 [7] NCCL INFO ========================================== +node-0:2137159:2138166 [7] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138166 [7] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138166 [7] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138166 [7] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138166 [7] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138166 [7] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138166 [7] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138166 [7] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138166 [7] NCCL INFO Setting affinity for GPU 7 to ff,fff00000 +node-0:2137159:2138166 [7] NCCL INFO NVLS multicast support is not available on dev 7 +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138163 [4] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2137159:2138163 [4] NCCL INFO CPU/0-0 (1/1/2) +node-0:2137159:2138163 [4] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138163 [4] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138163 [4] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138163 [4] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138163 [4] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2137159:2138163 [4] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2137159:2138163 [4] NCCL INFO CPU/0-1 (1/1/2) +node-0:2137159:2138163 [4] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138163 [4] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138163 [4] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138163 [4] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138163 [4] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138163 [4] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2137159:2138163 [4] NCCL INFO ========================================== +node-0:2137159:2138163 [4] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138163 [4] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138163 [4] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138163 [4] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138163 [4] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138163 [4] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138163 [4] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138163 [4] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138163 [4] NCCL INFO Setting affinity for GPU 4 to ff,fff00000 +node-0:2137159:2138163 [4] NCCL INFO NVLS multicast support is not available on dev 4 +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0004-0000-3130-444531444235/pci0004:00/0004:00:00.0/../max_link_width, ignoring +node-0:2137159:2138166 [7] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138166 [7] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138166 [7] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138166 [7] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138166 [7] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138166 [7] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2137159:2138166 [7] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2137159:2138166 [7] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138166 [7] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138166 [7] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138166 [7] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138166 [7] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138166 [7] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2137159:2138166 [7] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0005-0001-3130-444531444235/pci0005:00/0005:00:00.0/../max_link_width, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138163 [4] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138163 [4] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138163 [4] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138163 [4] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138163 [4] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2137159:2138163 [4] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2137159:2138163 [4] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138163 [4] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138163 [4] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138163 [4] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138163 [4] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138163 [4] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2137159:2138163 [4] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138162 [3] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2137159:2138162 [3] NCCL INFO CPU/0-0 (1/1/2) +node-0:2137159:2138162 [3] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138162 [3] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138162 [3] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138162 [3] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138162 [3] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2137159:2138162 [3] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2137159:2138162 [3] NCCL INFO CPU/0-1 (1/1/2) +node-0:2137159:2138162 [3] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138162 [3] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138162 [3] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138162 [3] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138162 [3] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138162 [3] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2137159:2138162 [3] NCCL INFO ========================================== +node-0:2137159:2138162 [3] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138162 [3] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138159 [0] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138162 [3] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138162 [3] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138162 [3] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138162 [3] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138162 [3] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138162 [3] NCCL INFO Setting affinity for GPU 3 to 0fffff +node-0:2137159:2138162 [3] NCCL INFO NVLS multicast support is not available on dev 3 +node-0:2137159:2138159 [0] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2137159:2138159 [0] NCCL INFO CPU/0-0 (1/1/2) +node-0:2137159:2138159 [0] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138159 [0] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138159 [0] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138159 [0] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138159 [0] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2137159:2138159 [0] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2137159:2138159 [0] NCCL INFO CPU/0-1 (1/1/2) +node-0:2137159:2138159 [0] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138159 [0] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138159 [0] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138159 [0] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138159 [0] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138159 [0] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2137159:2138159 [0] NCCL INFO ========================================== +node-0:2137159:2138159 [0] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138159 [0] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138159 [0] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138159 [0] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138159 [0] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138159 [0] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138159 [0] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138159 [0] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138159 [0] NCCL INFO Setting affinity for GPU 0 to 0fffff +node-0:2137159:2138159 [0] NCCL INFO NVLS multicast support is not available on dev 0 +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0006-0001-3130-444531444235/pci0006:00/0006:00:00.0/../max_link_width, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138165 [6] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2137159:2138162 [3] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138162 [3] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138162 [3] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138162 [3] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138162 [3] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138162 [3] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2137159:2138162 [3] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2137159:2138165 [6] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2137159:2138165 [6] NCCL INFO CPU/0-0 (1/1/2) +node-0:2137159:2138165 [6] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138165 [6] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138165 [6] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138165 [6] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138165 [6] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2137159:2138165 [6] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2137159:2138165 [6] NCCL INFO CPU/0-1 (1/1/2) +node-0:2137159:2138165 [6] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138165 [6] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138165 [6] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2137159:2138162 [3] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138162 [3] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138162 [3] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138165 [6] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138162 [3] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138165 [6] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138162 [3] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138165 [6] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138165 [6] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2137159:2138162 [3] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2137159:2138165 [6] NCCL INFO ========================================== +node-0:2137159:2138162 [3] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2137159:2138165 [6] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138165 [6] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138165 [6] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138165 [6] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138165 [6] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138165 [6] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138165 [6] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138165 [6] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138165 [6] NCCL INFO Setting affinity for GPU 6 to ff,fff00000 +node-0:2137159:2138165 [6] NCCL INFO NVLS multicast support is not available on dev 6 +node-0:2137159:2138159 [0] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138159 [0] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138159 [0] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138159 [0] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138159 [0] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138159 [0] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2137159:2138159 [0] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2137159:2138159 [0] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138159 [0] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138159 [0] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138159 [0] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138159 [0] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138159 [0] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2137159:2138159 [0] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0007-0001-3130-444531444235/pci0007:00/0007:00:00.0/../max_link_width, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138160 [1] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2137159:2138160 [1] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2137159:2138160 [1] NCCL INFO CPU/0-0 (1/1/2) +node-0:2137159:2138160 [1] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138160 [1] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138160 [1] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138160 [1] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138160 [1] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2137159:2138160 [1] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2137159:2138160 [1] NCCL INFO CPU/0-1 (1/1/2) +node-0:2137159:2138160 [1] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138160 [1] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138160 [1] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138160 [1] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138160 [1] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138160 [1] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2137159:2138160 [1] NCCL INFO ========================================== +node-0:2137159:2138160 [1] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138160 [1] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138160 [1] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138160 [1] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138160 [1] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138160 [1] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138160 [1] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138160 [1] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138160 [1] NCCL INFO Setting affinity for GPU 1 to 0fffff +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138161 [2] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2137159:2138165 [6] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138165 [6] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138165 [6] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138165 [6] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138165 [6] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138165 [6] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2137159:2138165 [6] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2137159:2138160 [1] NCCL INFO NVLS multicast support is not available on dev 1 +node-0:2137159:2138165 [6] NCCL INFO Pattern 1, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138165 [6] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138165 [6] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138165 [6] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138165 [6] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138165 [6] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 GPU/7 GPU/5 GPU/4 GPU/6 +node-0:2137159:2138165 [6] NCCL INFO 5 : GPU/0 GPU/6 GPU/4 GPU/5 GPU/7 GPU/1 GPU/3 GPU/2 +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/47505500-0008-0001-3130-444531444235/pci0008:00/0008:00:00.0/../max_link_width, ignoring +node-0:2137159:2138161 [2] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2137159:2138161 [2] NCCL INFO CPU/0-0 (1/1/2) +node-0:2137159:2138161 [2] NCCL INFO + PCI[12.0] - GPU/0-100000 (0) +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138161 [2] NCCL INFO + PCI[12.0] - GPU/0-200000 (1) +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138161 [2] NCCL INFO + PCI[12.0] - GPU/0-300000 (2) +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/200000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/400000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138161 [2] NCCL INFO + PCI[12.0] - GPU/0-400000 (3) +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/100000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/300000 +node-0:2137159:2138161 [2] NCCL INFO + PCI[12.0] - NIC/0-10100000 +node-0:2137159:2138161 [2] NCCL INFO + SYS[10.0] - CPU/1 +node-0:2137159:2138161 [2] NCCL INFO CPU/0-1 (1/1/2) +node-0:2137159:2138161 [2] NCCL INFO + PCI[12.0] - GPU/0-500000 (4) +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/300000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/700000 +node-0:2137159:2138161 [2] NCCL INFO + PCI[12.0] - GPU/0-600000 (5) +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/400000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/800000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138161 [2] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138161 [2] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138161 [2] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138161 [2] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2137159:2138161 [2] NCCL INFO ========================================== +node-0:2137159:2138161 [2] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138161 [2] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138161 [2] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138161 [2] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138161 [2] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138161 [2] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138161 [2] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138161 [2] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138161 [2] NCCL INFO Setting affinity for GPU 2 to 0fffff +node-0:2137159:2138161 [2] NCCL INFO NVLS multicast support is not available on dev 2 +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_speed, ignoring +node-0:2137159:2138164 [5] NCCL INFO Topology detection : could not read /sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/00000060-0101-0000-3135-423331303142/pci0101:00/0101:00:00.0/../max_link_width, ignoring +node-0:2137159:2138164 [5] NCCL INFO === System : maxBw 40.0 totalBw 120.0 === +node-0:2137159:2138164 [5] NCCL INFO CPU/0-0 (1/1/2) +node-0:2137159:2138164 [5] NCCL INFO + PCI[12.0] 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GPU/800000 +node-0:2137159:2138164 [5] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138164 [5] NCCL INFO + PCI[12.0] - GPU/0-700000 (6) +node-0:2137159:2138164 [5] NCCL INFO + NVL[40.0] - GPU/600000 +node-0:2137159:2138164 [5] NCCL INFO + NVL[40.0] - GPU/800000 +node-0:2137159:2138164 [5] NCCL INFO + NVL[20.0] - GPU/100000 +node-0:2137159:2138164 [5] NCCL INFO + NVL[20.0] - GPU/500000 +node-0:2137159:2138164 [5] NCCL INFO + PCI[12.0] - GPU/0-800000 (7) +node-0:2137159:2138164 [5] NCCL INFO + NVL[40.0] - GPU/700000 +node-0:2137159:2138164 [5] NCCL INFO + NVL[40.0] - GPU/500000 +node-0:2137159:2138164 [5] NCCL INFO + NVL[20.0] - GPU/600000 +node-0:2137159:2138164 [5] NCCL INFO + NVL[20.0] - GPU/200000 +node-0:2137159:2138164 [5] NCCL INFO + SYS[10.0] - CPU/0 +node-0:2137159:2138164 [5] NCCL INFO ========================================== +node-0:2137159:2138164 [5] NCCL INFO GPU/100000 :GPU/0-100000 (0/5000.0/LOC) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (2/40.0/NVB) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138164 [5] NCCL INFO GPU/200000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (0/5000.0/LOC) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (2/40.0/NVB) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138164 [5] NCCL INFO GPU/300000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (1/40.0/NVL) GPU/0-300000 (0/5000.0/LOC) GPU/0-400000 (1/20.0/NVL) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (2/20.0/NVB) GPU/0-700000 (2/20.0/NVB) GPU/0-800000 (2/40.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138164 [5] NCCL INFO GPU/400000 :GPU/0-100000 (1/40.0/NVL) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (1/20.0/NVL) GPU/0-400000 (0/5000.0/LOC) GPU/0-500000 (2/20.0/NVB) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (2/40.0/NVB) GPU/0-800000 (2/20.0/NVB) CPU/0-0 (1/12.0/PHB) CPU/0-1 (2/12.0/PHB) +node-0:2137159:2138164 [5] NCCL INFO GPU/500000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (2/40.0/NVB) GPU/0-300000 (1/40.0/NVL) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (0/5000.0/LOC) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/20.0/NVL) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138164 [5] NCCL INFO GPU/600000 :GPU/0-100000 (2/40.0/NVB) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (1/40.0/NVL) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (0/5000.0/LOC) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (1/20.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138164 [5] NCCL INFO GPU/700000 :GPU/0-100000 (1/20.0/NVL) GPU/0-200000 (2/20.0/NVB) GPU/0-300000 (2/20.0/NVB) GPU/0-400000 (2/40.0/NVB) GPU/0-500000 (1/20.0/NVL) GPU/0-600000 (1/40.0/NVL) GPU/0-700000 (0/5000.0/LOC) GPU/0-800000 (1/40.0/NVL) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138164 [5] NCCL INFO GPU/800000 :GPU/0-100000 (2/20.0/NVB) GPU/0-200000 (1/20.0/NVL) GPU/0-300000 (2/40.0/NVB) GPU/0-400000 (2/20.0/NVB) GPU/0-500000 (1/40.0/NVL) GPU/0-600000 (1/20.0/NVL) GPU/0-700000 (1/40.0/NVL) GPU/0-800000 (0/5000.0/LOC) CPU/0-0 (2/12.0/PHB) CPU/0-1 (1/12.0/PHB) +node-0:2137159:2138164 [5] NCCL INFO Setting affinity for GPU 5 to ff,fff00000 +node-0:2137159:2138164 [5] NCCL INFO NVLS multicast support is not available on dev 5 +node-0:2137159:2138160 [1] NCCL INFO Pattern 4, crossNic 0, nChannels 6, bw 20.000000/20.000000, type NVL/PIX, sameChannels 0 +node-0:2137159:2138160 [1] NCCL INFO 0 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138160 [1] NCCL INFO 1 : GPU/0 GPU/1 GPU/2 GPU/4 GPU/7 GPU/6 GPU/5 GPU/3 +node-0:2137159:2138160 [1] NCCL INFO 2 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138160 [1] NCCL INFO 3 : GPU/0 GPU/3 GPU/5 GPU/6 GPU/7 GPU/4 GPU/2 GPU/1 +node-0:2137159:2138160 [1] NCCL INFO 4 : GPU/0 GPU/2 GPU/3 GPU/1 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NCCL INFO Tree 11 : 0 -> 6 -> 4/-1/-1 +node-0:2137159:2138162 [3] NCCL INFO comm 0x1951394e0 rank 3 nRanks 8 nNodes 1 localRanks 8 localRank 3 MNNVL 0 +node-0:2137159:2138163 [4] NCCL INFO comm 0x191fa35f0 rank 4 nRanks 8 nNodes 1 localRanks 8 localRank 4 MNNVL 0 +node-0:2137159:2138159 [0] NCCL INFO comm 0x19512d5d0 rank 0 nRanks 8 nNodes 1 localRanks 8 localRank 0 MNNVL 0 +node-0:2137159:2138160 [1] NCCL INFO Tree 0 : 0 -> 1 -> 2/-1/-1 +node-0:2137159:2138160 [1] NCCL INFO Tree 6 : 0 -> 1 -> 2/-1/-1 +node-0:2137159:2138162 [3] NCCL INFO Tree 2 : 0 -> 3 -> 5/-1/-1 +node-0:2137159:2138160 [1] NCCL INFO Tree 1 : 0 -> 1 -> 2/-1/-1 +node-0:2137159:2138159 [0] NCCL INFO Tree 0 : -1 -> 0 -> 1/-1/-1 +node-0:2137159:2138161 [2] NCCL INFO Tree 4 : 0 -> 2 -> 3/-1/-1 +node-0:2137159:2138161 [2] NCCL INFO Tree 10 : 0 -> 2 -> 3/-1/-1 +node-0:2137159:2138162 [3] NCCL INFO Tree 8 : 0 -> 3 -> 5/-1/-1 +node-0:2137159:2138161 [2] NCCL INFO Ring 00 : 1 -> 2 -> 4 +node-0:2137159:2138161 [2] NCCL INFO Ring 01 : 1 -> 2 -> 4 +node-0:2137159:2138161 [2] NCCL INFO Ring 02 : 4 -> 2 -> 1 +node-0:2137159:2138161 [2] NCCL INFO Ring 03 : 4 -> 2 -> 1 +node-0:2137159:2138161 [2] NCCL INFO Ring 04 : 0 -> 2 -> 3 +node-0:2137159:2138162 [3] NCCL INFO Tree 3 : 0 -> 3 -> 5/-1/-1 +node-0:2137159:2138161 [2] NCCL INFO Ring 05 : 3 -> 2 -> 0 +node-0:2137159:2138162 [3] NCCL INFO Tree 9 : 0 -> 3 -> 5/-1/-1 +node-0:2137159:2138161 [2] NCCL INFO Ring 06 : 1 -> 2 -> 4 +node-0:2137159:2138161 [2] NCCL INFO Ring 07 : 1 -> 2 -> 4 +node-0:2137159:2138161 [2] NCCL INFO Ring 08 : 4 -> 2 -> 1 +node-0:2137159:2138161 [2] NCCL INFO Ring 09 : 4 -> 2 -> 1 +node-0:2137159:2138160 [1] NCCL INFO Tree 7 : 0 -> 1 -> 2/-1/-1 +node-0:2137159:2138162 [3] NCCL INFO Ring 00 : 5 -> 3 -> 0 +node-0:2137159:2138161 [2] NCCL INFO Ring 10 : 0 -> 2 -> 3 +node-0:2137159:2138162 [3] NCCL INFO Ring 01 : 5 -> 3 -> 0 +node-0:2137159:2138162 [3] NCCL INFO Ring 02 : 0 -> 3 -> 5 +node-0:2137159:2138162 [3] NCCL INFO Ring 03 : 0 -> 3 -> 5 +node-0:2137159:2138162 [3] NCCL INFO Ring 04 : 2 -> 3 -> 1 +node-0:2137159:2138161 [2] NCCL INFO Ring 11 : 3 -> 2 -> 0 +node-0:2137159:2138161 [2] NCCL INFO Trees [0] 4/-1/-1->2->1 [1] 4/-1/-1->2->1 [2] 1/-1/-1->2->4 [3] 1/-1/-1->2->4 [4] 3/-1/-1->2->0 [5] -1/-1/-1->2->3 [6] 4/-1/-1->2->1 [7] 4/-1/-1->2->1 [8] 1/-1/-1->2->4 [9] 1/-1/-1->2->4 [10] 3/-1/-1->2->0 [11] -1/-1/-1->2->3 +node-0:2137159:2138162 [3] NCCL INFO Ring 05 : 1 -> 3 -> 2 +node-0:2137159:2138160 [1] NCCL INFO Ring 00 : 0 -> 1 -> 2 +node-0:2137159:2138160 [1] NCCL INFO Ring 01 : 0 -> 1 -> 2 +node-0:2137159:2138164 [5] NCCL INFO comm 0x191fa75a0 rank 5 nRanks 8 nNodes 1 localRanks 8 localRank 5 MNNVL 0 +node-0:2137159:2138159 [0] NCCL INFO Tree 6 : -1 -> 0 -> 1/-1/-1 +node-0:2137159:2138160 [1] NCCL INFO Ring 02 : 2 -> 1 -> 0 +node-0:2137159:2138162 [3] NCCL INFO Ring 06 : 5 -> 3 -> 0 +node-0:2137159:2138161 [2] NCCL INFO P2P Chunksize set to 524288 +node-0:2137159:2138160 [1] NCCL INFO Ring 03 : 2 -> 1 -> 0 +node-0:2137159:2138162 [3] NCCL INFO Ring 07 : 5 -> 3 -> 0 +node-0:2137159:2138159 [0] NCCL INFO Tree 1 : -1 -> 0 -> 1/-1/-1 +node-0:2137159:2138160 [1] NCCL INFO Ring 04 : 3 -> 1 -> 7 +node-0:2137159:2138162 [3] NCCL INFO Ring 08 : 0 -> 3 -> 5 +node-0:2137159:2138165 [6] NCCL INFO Ring 00 : 7 -> 6 -> 5 +node-0:2137159:2138163 [4] NCCL INFO Ring 00 : 2 -> 4 -> 7 +node-0:2137159:2138162 [3] NCCL INFO Ring 09 : 0 -> 3 -> 5 +node-0:2137159:2138159 [0] NCCL INFO Tree 7 : -1 -> 0 -> 1/-1/-1 +node-0:2137159:2138162 [3] NCCL INFO Ring 10 : 2 -> 3 -> 1 +node-0:2137159:2138159 [0] NCCL INFO Tree 2 : -1 -> 0 -> 3/-1/-1 +node-0:2137159:2138162 [3] NCCL INFO Ring 11 : 1 -> 3 -> 2 +node-0:2137159:2138162 [3] NCCL INFO Trees [0] -1/-1/-1->3->5 [1] -1/-1/-1->3->5 [2] 5/-1/-1->3->0 [3] 5/-1/-1->3->0 [4] 1/-1/-1->3->2 [5] 2/-1/-1->3->1 [6] -1/-1/-1->3->5 [7] -1/-1/-1->3->5 [8] 5/-1/-1->3->0 [9] 5/-1/-1->3->0 [10] 1/-1/-1->3->2 [11] 2/-1/-1->3->1 +node-0:2137159:2138159 [0] NCCL INFO Tree 8 : -1 -> 0 -> 3/-1/-1 +node-0:2137159:2138166 [7] NCCL INFO Ring 00 : 4 -> 7 -> 6 +node-0:2137159:2138163 [4] NCCL INFO Ring 01 : 2 -> 4 -> 7 +node-0:2137159:2138159 [0] NCCL INFO Tree 3 : -1 -> 0 -> 3/-1/-1 +node-0:2137159:2138165 [6] NCCL INFO Ring 01 : 7 -> 6 -> 5 +node-0:2137159:2138159 [0] NCCL INFO Tree 9 : -1 -> 0 -> 3/-1/-1 +node-0:2137159:2138163 [4] NCCL INFO Ring 02 : 7 -> 4 -> 2 +node-0:2137159:2138162 [3] NCCL INFO P2P Chunksize set to 524288 +node-0:2137159:2138159 [0] NCCL INFO Tree 4 : -1 -> 0 -> 2/-1/-1 +node-0:2137159:2138166 [7] NCCL INFO Ring 01 : 4 -> 7 -> 6 +node-0:2137159:2138159 [0] NCCL INFO Tree 10 : -1 -> 0 -> 2/-1/-1 +node-0:2137159:2138164 [5] NCCL INFO Ring 00 : 6 -> 5 -> 3 +node-0:2137159:2138165 [6] NCCL INFO Ring 02 : 5 -> 6 -> 7 +node-0:2137159:2138159 [0] NCCL INFO Tree 5 : -1 -> 0 -> 6/-1/-1 +node-0:2137159:2138163 [4] NCCL INFO Ring 03 : 7 -> 4 -> 2 +node-0:2137159:2138160 [1] NCCL INFO Ring 05 : 7 -> 1 -> 3 +node-0:2137159:2138160 [1] NCCL INFO Ring 06 : 0 -> 1 -> 2 +node-0:2137159:2138160 [1] NCCL INFO Ring 07 : 0 -> 1 -> 2 +node-0:2137159:2138160 [1] NCCL INFO Ring 08 : 2 -> 1 -> 0 +node-0:2137159:2138160 [1] NCCL INFO Ring 09 : 2 -> 1 -> 0 +node-0:2137159:2138159 [0] NCCL INFO Tree 11 : -1 -> 0 -> 6/-1/-1 +node-0:2137159:2138160 [1] NCCL INFO Ring 10 : 3 -> 1 -> 7 +node-0:2137159:2138160 [1] NCCL INFO Ring 11 : 7 -> 1 -> 3 +node-0:2137159:2138160 [1] NCCL INFO Trees [0] 2/-1/-1->1->0 [1] 2/-1/-1->1->0 [2] -1/-1/-1->1->2 [3] -1/-1/-1->1->2 [4] 7/-1/-1->1->3 [5] 3/-1/-1->1->7 [6] 2/-1/-1->1->0 [7] 2/-1/-1->1->0 [8] -1/-1/-1->1->2 [9] -1/-1/-1->1->2 [10] 7/-1/-1->1->3 [11] 3/-1/-1->1->7 +node-0:2137159:2138160 [1] NCCL INFO P2P Chunksize set to 524288 +node-0:2137159:2138159 [0] NCCL INFO Channel 00/12 : 0 1 2 4 7 6 5 3 +node-0:2137159:2138159 [0] NCCL INFO Channel 01/12 : 0 1 2 4 7 6 5 3 +node-0:2137159:2138166 [7] NCCL INFO Ring 02 : 6 -> 7 -> 4 +node-0:2137159:2138159 [0] NCCL INFO Channel 02/12 : 0 3 5 6 7 4 2 1 +node-0:2137159:2138159 [0] NCCL INFO Channel 03/12 : 0 3 5 6 7 4 2 1 +node-0:2137159:2138159 [0] NCCL INFO Channel 04/12 : 0 2 3 1 7 5 4 6 +node-0:2137159:2138159 [0] NCCL INFO Channel 05/12 : 0 6 4 5 7 1 3 2 +node-0:2137159:2138166 [7] NCCL INFO Ring 03 : 6 -> 7 -> 4 +node-0:2137159:2138166 [7] NCCL INFO Ring 04 : 1 -> 7 -> 5 +node-0:2137159:2138159 [0] NCCL INFO Channel 06/12 : 0 1 2 4 7 6 5 3 +node-0:2137159:2138163 [4] NCCL INFO Ring 04 : 5 -> 4 -> 6 +node-0:2137159:2138166 [7] NCCL INFO Ring 05 : 5 -> 7 -> 1 +node-0:2137159:2138166 [7] NCCL INFO Ring 06 : 4 -> 7 -> 6 +node-0:2137159:2138163 [4] NCCL INFO Ring 05 : 6 -> 4 -> 5 +node-0:2137159:2138159 [0] NCCL INFO Channel 07/12 : 0 1 2 4 7 6 5 3 +node-0:2137159:2138165 [6] NCCL INFO Ring 03 : 5 -> 6 -> 7 +node-0:2137159:2138163 [4] NCCL INFO Ring 06 : 2 -> 4 -> 7 +node-0:2137159:2138159 [0] NCCL INFO Channel 08/12 : 0 3 5 6 7 4 2 1 +node-0:2137159:2138163 [4] NCCL INFO Ring 07 : 2 -> 4 -> 7 +node-0:2137159:2138159 [0] NCCL INFO Channel 09/12 : 0 3 5 6 7 4 2 1 +node-0:2137159:2138163 [4] NCCL INFO Ring 08 : 7 -> 4 -> 2 +node-0:2137159:2138164 [5] NCCL INFO Ring 01 : 6 -> 5 -> 3 +node-0:2137159:2138165 [6] NCCL INFO Ring 04 : 4 -> 6 -> 0 +node-0:2137159:2138163 [4] NCCL INFO Ring 09 : 7 -> 4 -> 2 +node-0:2137159:2138159 [0] NCCL INFO Channel 10/12 : 0 2 3 1 7 5 4 6 +node-0:2137159:2138164 [5] NCCL INFO Ring 02 : 3 -> 5 -> 6 +node-0:2137159:2138165 [6] NCCL INFO Ring 05 : 0 -> 6 -> 4 +node-0:2137159:2138163 [4] NCCL INFO Ring 10 : 5 -> 4 -> 6 +node-0:2137159:2138159 [0] NCCL INFO Channel 11/12 : 0 6 4 5 7 1 3 2 +node-0:2137159:2138165 [6] NCCL INFO Ring 06 : 7 -> 6 -> 5 +node-0:2137159:2138166 [7] NCCL INFO Ring 07 : 4 -> 7 -> 6 +node-0:2137159:2138163 [4] NCCL INFO Ring 11 : 6 -> 4 -> 5 +node-0:2137159:2138159 [0] NCCL INFO Ring 00 : 3 -> 0 -> 1 +node-0:2137159:2138163 [4] NCCL INFO Trees [0] 7/-1/-1->4->2 [1] 7/-1/-1->4->2 [2] 2/-1/-1->4->7 [3] 2/-1/-1->4->7 [4] 6/-1/-1->4->5 [5] 5/-1/-1->4->6 [6] 7/-1/-1->4->2 [7] 7/-1/-1->4->2 [8] 2/-1/-1->4->7 [9] 2/-1/-1->4->7 [10] 6/-1/-1->4->5 [11] 5/-1/-1->4->6 +node-0:2137159:2138166 [7] NCCL INFO Ring 08 : 6 -> 7 -> 4 +node-0:2137159:2138159 [0] NCCL INFO Ring 01 : 3 -> 0 -> 1 +node-0:2137159:2138165 [6] NCCL INFO Ring 07 : 7 -> 6 -> 5 +node-0:2137159:2138164 [5] NCCL INFO Ring 03 : 3 -> 5 -> 6 +node-0:2137159:2138166 [7] NCCL INFO Ring 09 : 6 -> 7 -> 4 +node-0:2137159:2138159 [0] NCCL INFO Ring 02 : 1 -> 0 -> 3 +node-0:2137159:2138165 [6] NCCL INFO Ring 08 : 5 -> 6 -> 7 +node-0:2137159:2138164 [5] NCCL INFO Ring 04 : 7 -> 5 -> 4 +node-0:2137159:2138163 [4] NCCL INFO P2P Chunksize set to 524288 +node-0:2137159:2138159 [0] NCCL INFO Ring 03 : 1 -> 0 -> 3 +node-0:2137159:2138165 [6] NCCL INFO Ring 09 : 5 -> 6 -> 7 +node-0:2137159:2138164 [5] NCCL INFO Ring 05 : 4 -> 5 -> 7 +node-0:2137159:2138165 [6] NCCL INFO Ring 10 : 4 -> 6 -> 0 +node-0:2137159:2138164 [5] NCCL INFO Ring 06 : 6 -> 5 -> 3 +node-0:2137159:2138164 [5] NCCL INFO Ring 07 : 6 -> 5 -> 3 +node-0:2137159:2138164 [5] NCCL INFO Ring 08 : 3 -> 5 -> 6 +node-0:2137159:2138164 [5] NCCL INFO Ring 09 : 3 -> 5 -> 6 +node-0:2137159:2138164 [5] NCCL INFO Ring 10 : 7 -> 5 -> 4 +node-0:2137159:2138164 [5] NCCL INFO Ring 11 : 4 -> 5 -> 7 +node-0:2137159:2138164 [5] NCCL INFO Trees [0] 3/-1/-1->5->6 [1] 3/-1/-1->5->6 [2] 6/-1/-1->5->3 [3] 6/-1/-1->5->3 [4] 4/-1/-1->5->7 [5] 7/-1/-1->5->4 [6] 3/-1/-1->5->6 [7] 3/-1/-1->5->6 [8] 6/-1/-1->5->3 [9] 6/-1/-1->5->3 [10] 4/-1/-1->5->7 [11] 7/-1/-1->5->4 +node-0:2137159:2138159 [0] NCCL INFO Ring 04 : 6 -> 0 -> 2 +node-0:2137159:2138164 [5] NCCL INFO P2P Chunksize set to 524288 +node-0:2137159:2138159 [0] NCCL INFO Ring 05 : 2 -> 0 -> 6 +node-0:2137159:2138159 [0] NCCL INFO Ring 06 : 3 -> 0 -> 1 +node-0:2137159:2138166 [7] NCCL INFO Ring 10 : 1 -> 7 -> 5 +node-0:2137159:2138159 [0] NCCL INFO Ring 07 : 3 -> 0 -> 1 +node-0:2137159:2138165 [6] NCCL INFO Ring 11 : 0 -> 6 -> 4 +node-0:2137159:2138159 [0] NCCL INFO Ring 08 : 1 -> 0 -> 3 +node-0:2137159:2138166 [7] NCCL INFO Ring 11 : 5 -> 7 -> 1 +node-0:2137159:2138159 [0] NCCL INFO Ring 09 : 1 -> 0 -> 3 +node-0:2137159:2138165 [6] NCCL INFO Trees [0] 5/-1/-1->6->7 [1] 5/-1/-1->6->7 [2] 7/-1/-1->6->5 [3] 7/-1/-1->6->5 [4] -1/-1/-1->6->4 [5] 4/-1/-1->6->0 [6] 5/-1/-1->6->7 [7] 5/-1/-1->6->7 [8] 7/-1/-1->6->5 [9] 7/-1/-1->6->5 [10] -1/-1/-1->6->4 [11] 4/-1/-1->6->0 +node-0:2137159:2138166 [7] NCCL INFO Trees [0] 6/-1/-1->7->4 [1] 6/-1/-1->7->4 [2] 4/-1/-1->7->6 [3] 4/-1/-1->7->6 [4] 5/-1/-1->7->1 [5] 1/-1/-1->7->5 [6] 6/-1/-1->7->4 [7] 6/-1/-1->7->4 [8] 4/-1/-1->7->6 [9] 4/-1/-1->7->6 [10] 5/-1/-1->7->1 [11] 1/-1/-1->7->5 +node-0:2137159:2138159 [0] NCCL INFO Ring 10 : 6 -> 0 -> 2 +node-0:2137159:2138165 [6] NCCL INFO P2P Chunksize set to 524288 +node-0:2137159:2138159 [0] NCCL INFO Ring 11 : 2 -> 0 -> 6 +node-0:2137159:2138166 [7] NCCL INFO P2P Chunksize set to 524288 +node-0:2137159:2138159 [0] NCCL INFO Trees [0] 1/-1/-1->0->-1 [1] 1/-1/-1->0->-1 [2] 3/-1/-1->0->-1 [3] 3/-1/-1->0->-1 [4] 2/-1/-1->0->-1 [5] 6/-1/-1->0->-1 [6] 1/-1/-1->0->-1 [7] 1/-1/-1->0->-1 [8] 3/-1/-1->0->-1 [9] 3/-1/-1->0->-1 [10] 2/-1/-1->0->-1 [11] 6/-1/-1->0->-1 +node-0:2137159:2138159 [0] NCCL INFO P2P Chunksize set to 524288 +node-0:2137159:2138163 [4] NCCL INFO Channel 05/0 : 4[4] -> 5[5] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 00/0 : 0[0] -> 1[1] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 11/0 : 4[4] -> 5[5] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 01/0 : 0[0] -> 1[1] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 06/0 : 0[0] -> 1[1] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 07/0 : 0[0] -> 1[1] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 02/0 : 5[5] -> 6[6] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 03/0 : 5[5] -> 6[6] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 08/0 : 5[5] -> 6[6] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 09/0 : 5[5] -> 6[6] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 02/0 : 6[6] -> 7[7] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 04/0 : 2[2] -> 3[3] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 03/0 : 6[6] -> 7[7] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 10/0 : 2[2] -> 3[3] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 08/0 : 6[6] -> 7[7] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 00/0 : 1[1] -> 2[2] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 04/0 : 4[4] -> 6[6] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 09/0 : 6[6] -> 7[7] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 01/0 : 1[1] -> 2[2] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 10/0 : 4[4] -> 6[6] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 06/0 : 1[1] -> 2[2] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 02/0 : 3[3] -> 5[5] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 07/0 : 1[1] -> 2[2] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 03/0 : 3[3] -> 5[5] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 05/0 : 7[7] -> 1[1] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 04/0 : 6[6] -> 0[0] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 08/0 : 3[3] -> 5[5] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 11/0 : 7[7] -> 1[1] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 10/0 : 6[6] -> 0[0] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 05/0 : 5[5] -> 7[7] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 09/0 : 3[3] -> 5[5] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 04/0 : 0[0] -> 2[2] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 00/0 : 2[2] -> 4[4] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 11/0 : 5[5] -> 7[7] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 10/0 : 0[0] -> 2[2] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 05/0 : 1[1] -> 3[3] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 01/0 : 2[2] -> 4[4] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 11/0 : 1[1] -> 3[3] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 06/0 : 2[2] -> 4[4] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 07/0 : 2[2] -> 4[4] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 05/0 : 6[6] -> 4[4] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 02/0 : 0[0] -> 3[3] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 00/0 : 4[4] -> 7[7] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 00/0 : 5[5] -> 3[3] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 11/0 : 6[6] -> 4[4] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 03/0 : 0[0] -> 3[3] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 01/0 : 4[4] -> 7[7] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 04/0 : 1[1] -> 7[7] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 08/0 : 0[0] -> 3[3] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 06/0 : 4[4] -> 7[7] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 01/0 : 5[5] -> 3[3] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 09/0 : 0[0] -> 3[3] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 07/0 : 4[4] -> 7[7] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 10/0 : 1[1] -> 7[7] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 00/0 : 3[3] -> 0[0] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 06/0 : 5[5] -> 3[3] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 02/0 : 7[7] -> 4[4] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 01/0 : 3[3] -> 0[0] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 07/0 : 5[5] -> 3[3] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 03/0 : 7[7] -> 4[4] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 06/0 : 3[3] -> 0[0] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 05/0 : 2[2] -> 0[0] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 07/0 : 3[3] -> 0[0] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 08/0 : 7[7] -> 4[4] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 11/0 : 2[2] -> 0[0] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 09/0 : 7[7] -> 4[4] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 05/0 : 0[0] -> 6[6] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 02/0 : 4[4] -> 2[2] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 04/0 : 7[7] -> 5[5] via P2P/direct pointer +node-0:2137159:2138159 [0] NCCL INFO Channel 11/0 : 0[0] -> 6[6] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 03/0 : 4[4] -> 2[2] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 10/0 : 7[7] -> 5[5] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 04/0 : 3[3] -> 1[1] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 08/0 : 4[4] -> 2[2] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 10/0 : 3[3] -> 1[1] via P2P/direct pointer 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rings +node-0:2137159:2138163 [4] NCCL INFO Connected all rings +node-0:2137159:2138163 [4] NCCL INFO Channel 04/0 : 4[4] -> 5[5] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Connected all rings +node-0:2137159:2138160 [1] NCCL INFO Connected all rings +node-0:2137159:2138161 [2] NCCL INFO Connected all rings +node-0:2137159:2138160 [1] NCCL INFO Channel 02/0 : 1[1] -> 2[2] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Connected all rings +node-0:2137159:2138164 [5] NCCL INFO Connected all rings +node-0:2137159:2138163 [4] NCCL INFO Channel 10/0 : 4[4] -> 5[5] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 03/0 : 1[1] -> 2[2] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 08/0 : 1[1] -> 2[2] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 00/0 : 5[5] -> 6[6] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 09/0 : 1[1] -> 2[2] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 01/0 : 5[5] -> 6[6] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 00/0 : 6[6] -> 7[7] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 06/0 : 5[5] -> 6[6] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 05/0 : 2[2] -> 3[3] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 01/0 : 6[6] -> 7[7] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 07/0 : 5[5] -> 6[6] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 11/0 : 2[2] -> 3[3] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 06/0 : 6[6] -> 7[7] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 07/0 : 6[6] -> 7[7] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 02/0 : 2[2] -> 4[4] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 03/0 : 2[2] -> 4[4] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 08/0 : 2[2] -> 4[4] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 00/0 : 3[3] -> 5[5] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 04/0 : 1[1] -> 3[3] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 09/0 : 2[2] -> 4[4] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 01/0 : 3[3] -> 5[5] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 10/0 : 1[1] -> 3[3] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 05/0 : 4[4] -> 6[6] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 06/0 : 3[3] -> 5[5] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 05/0 : 6[6] -> 0[0] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 04/0 : 7[7] -> 1[1] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 11/0 : 4[4] -> 6[6] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 07/0 : 3[3] -> 5[5] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 11/0 : 6[6] -> 0[0] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 10/0 : 7[7] -> 1[1] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 02/0 : 4[4] -> 7[7] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 04/0 : 6[6] -> 4[4] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 04/0 : 5[5] -> 7[7] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 03/0 : 4[4] -> 7[7] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 10/0 : 6[6] -> 4[4] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 08/0 : 4[4] -> 7[7] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 10/0 : 5[5] -> 7[7] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 05/0 : 1[1] -> 7[7] via P2P/direct pointer +node-0:2137159:2138163 [4] NCCL INFO Channel 09/0 : 4[4] -> 7[7] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 02/0 : 3[3] -> 0[0] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 11/0 : 1[1] -> 7[7] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 04/0 : 2[2] -> 0[0] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 03/0 : 3[3] -> 0[0] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 10/0 : 2[2] -> 0[0] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 08/0 : 3[3] -> 0[0] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 02/0 : 5[5] -> 3[3] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Channel 09/0 : 3[3] -> 0[0] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 03/0 : 5[5] -> 3[3] via P2P/direct pointer +node-0:2137159:2138166 [7] NCCL INFO Channel 00/0 : 7[7] -> 4[4] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 08/0 : 5[5] -> 3[3] via P2P/direct pointer 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+node-0:2137159:2138165 [6] NCCL INFO Channel 02/0 : 6[6] -> 5[5] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 06/0 : 2[2] -> 1[1] via P2P/direct pointer +node-0:2137159:2138164 [5] NCCL INFO Channel 11/0 : 5[5] -> 4[4] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 01/0 : 1[1] -> 0[0] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 03/0 : 6[6] -> 5[5] via P2P/direct pointer +node-0:2137159:2138161 [2] NCCL INFO Channel 07/0 : 2[2] -> 1[1] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 06/0 : 1[1] -> 0[0] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 08/0 : 6[6] -> 5[5] via P2P/direct pointer +node-0:2137159:2138160 [1] NCCL INFO Channel 07/0 : 1[1] -> 0[0] via P2P/direct pointer +node-0:2137159:2138165 [6] NCCL INFO Channel 09/0 : 6[6] -> 5[5] via P2P/direct pointer +node-0:2137159:2138162 [3] NCCL INFO Connected all trees +node-0:2137159:2138159 [0] NCCL INFO Connected all trees +node-0:2137159:2138164 [5] NCCL INFO Connected all trees +node-0:2137159:2138162 [3] NCCL INFO threadThresholds 8/8/64 | 64/8/64 | 512 | 512 +node-0:2137159:2138162 [3] NCCL INFO 12 coll channels, 12 collnet channels, 0 nvls channels, 16 p2p channels, 2 p2p channels per peer +node-0:2137159:2138164 [5] NCCL INFO threadThresholds 8/8/64 | 64/8/64 | 512 | 512 +node-0:2137159:2138163 [4] NCCL INFO Connected all trees +node-0:2137159:2138164 [5] NCCL INFO 12 coll channels, 12 collnet channels, 0 nvls channels, 16 p2p channels, 2 p2p channels per peer +node-0:2137159:2138163 [4] NCCL INFO threadThresholds 8/8/64 | 64/8/64 | 512 | 512 +node-0:2137159:2138163 [4] NCCL INFO 12 coll channels, 12 collnet channels, 0 nvls channels, 16 p2p channels, 2 p2p channels per peer +node-0:2137159:2138162 [3] NCCL INFO Channel 08/1 : 3[3] -> 4[4] via P2P/indirect/2[2] +node-0:2137159:2138166 [7] NCCL INFO Connected all trees +node-0:2137159:2138166 [7] NCCL INFO threadThresholds 8/8/64 | 64/8/64 | 512 | 512 +node-0:2137159:2138166 [7] NCCL INFO 12 coll channels, 12 collnet channels, 0 nvls channels, 16 p2p channels, 2 p2p channels per peer +node-0:2137159:2138166 [7] NCCL INFO Channel 08/1 : 7[7] -> 0[0] via P2P/indirect/1[1] +node-0:2137159:2138161 [2] NCCL INFO Connected all trees +node-0:2137159:2138161 [2] NCCL INFO threadThresholds 8/8/64 | 64/8/64 | 512 | 512 +node-0:2137159:2138161 [2] NCCL INFO 12 coll channels, 12 collnet channels, 0 nvls channels, 16 p2p channels, 2 p2p channels per peer +node-0:2137159:2138165 [6] NCCL INFO Connected all trees +node-0:2137159:2138165 [6] NCCL INFO threadThresholds 8/8/64 | 64/8/64 | 512 | 512 +node-0:2137159:2138165 [6] NCCL INFO 12 coll channels, 12 collnet channels, 0 nvls channels, 16 p2p channels, 2 p2p channels per peer +node-0:2137159:2138160 [1] NCCL INFO Connected all trees +node-0:2137159:2138159 [0] NCCL INFO threadThresholds 8/8/64 | 64/8/64 | 512 | 512 +node-0:2137159:2138160 [1] NCCL INFO threadThresholds 8/8/64 | 64/8/64 | 512 | 512 +node-0:2137159:2138160 [1] NCCL INFO 12 coll channels, 12 collnet channels, 0 nvls channels, 16 p2p channels, 2 p2p channels per peer +node-0:2137159:2138159 [0] NCCL INFO 12 coll channels, 12 collnet channels, 0 nvls channels, 16 p2p channels, 2 p2p channels per peer +node-0:2137159:2138162 [3] NCCL INFO Channel 09/1 : 3[3] -> 4[4] via P2P/indirect/2[2] +node-0:2137159:2138166 [7] NCCL INFO Channel 09/1 : 7[7] -> 0[0] via P2P/indirect/1[1] +node-0:2137159:2138160 [1] NCCL INFO Channel 12/1 : 1[1] -> 4[4] via P2P/indirect/2[2] +node-0:2137159:2138166 [7] NCCL INFO Channel 12/1 : 7[7] -> 2[2] via P2P/indirect/4[4] +node-0:2137159:2138161 [2] NCCL INFO Channel 12/1 : 2[2] -> 5[5] via P2P/indirect/3[3] +node-0:2137159:2138160 [1] NCCL INFO Channel 13/1 : 1[1] -> 4[4] via P2P/indirect/2[2] +node-0:2137159:2138162 [3] NCCL INFO Channel 12/1 : 3[3] -> 6[6] via P2P/indirect/5[5] +node-0:2137159:2138166 [7] NCCL INFO Channel 13/1 : 7[7] -> 2[2] via P2P/indirect/4[4] +node-0:2137159:2138164 [5] NCCL INFO Channel 12/1 : 5[5] -> 0[0] via P2P/indirect/3[3] +node-0:2137159:2138162 [3] NCCL INFO Channel 13/1 : 3[3] -> 6[6] via P2P/indirect/5[5] +node-0:2137159:2138161 [2] NCCL INFO Channel 13/1 : 2[2] -> 5[5] via P2P/indirect/3[3] +node-0:2137159:2138165 [6] NCCL INFO Channel 12/1 : 6[6] -> 1[1] via P2P/indirect/0[0] +node-0:2137159:2138164 [5] NCCL INFO Channel 13/1 : 5[5] -> 0[0] via P2P/indirect/3[3] +node-0:2137159:2138165 [6] NCCL INFO Channel 13/1 : 6[6] -> 1[1] via P2P/indirect/0[0] +node-0:2137159:2138166 [7] NCCL INFO Channel 02/1 : 7[7] -> 3[3] via P2P/indirect/5[5] +node-0:2137159:2138161 [2] NCCL INFO Channel 02/1 : 2[2] -> 6[6] via P2P/indirect/0[0] +node-0:2137159:2138163 [4] NCCL INFO Channel 02/1 : 4[4] -> 0[0] via P2P/indirect/2[2] +node-0:2137159:2138160 [1] NCCL INFO Channel 02/1 : 1[1] -> 5[5] via P2P/indirect/3[3] +node-0:2137159:2138164 [5] NCCL INFO Channel 02/1 : 5[5] -> 1[1] via P2P/indirect/7[7] +node-0:2137159:2138159 [0] NCCL INFO Channel 02/1 : 0[0] -> 4[4] via P2P/indirect/2[2] +node-0:2137159:2138165 [6] NCCL INFO Channel 02/1 : 6[6] -> 2[2] via P2P/indirect/4[4] +node-0:2137159:2138166 [7] NCCL INFO Channel 03/1 : 7[7] -> 3[3] via P2P/indirect/5[5] +node-0:2137159:2138161 [2] NCCL INFO Channel 03/1 : 2[2] -> 6[6] via P2P/indirect/0[0] +node-0:2137159:2138160 [1] NCCL INFO Channel 03/1 : 1[1] -> 5[5] via P2P/indirect/3[3] +node-0:2137159:2138163 [4] NCCL INFO Channel 03/1 : 4[4] -> 0[0] via P2P/indirect/2[2] +node-0:2137159:2138165 [6] NCCL INFO Channel 03/1 : 6[6] -> 2[2] via P2P/indirect/4[4] +node-0:2137159:2138164 [5] NCCL INFO Channel 03/1 : 5[5] -> 1[1] via P2P/indirect/7[7] +node-0:2137159:2138162 [3] NCCL INFO Channel 02/1 : 3[3] -> 7[7] via P2P/indirect/5[5] +node-0:2137159:2138159 [0] NCCL INFO Channel 03/1 : 0[0] -> 4[4] via P2P/indirect/2[2] +node-0:2137159:2138162 [3] NCCL INFO Channel 03/1 : 3[3] -> 7[7] via P2P/indirect/5[5] +node-0:2137159:2138165 [6] NCCL INFO Channel 10/1 : 6[6] -> 3[3] via P2P/indirect/5[5] +node-0:2137159:2138160 [1] NCCL INFO Channel 10/1 : 1[1] -> 6[6] via P2P/indirect/7[7] +node-0:2137159:2138163 [4] NCCL INFO Channel 10/1 : 4[4] -> 1[1] via P2P/indirect/2[2] +node-0:2137159:2138164 [5] NCCL INFO Channel 10/1 : 5[5] -> 2[2] via P2P/indirect/4[4] +node-0:2137159:2138159 [0] NCCL INFO Channel 10/1 : 0[0] -> 5[5] via P2P/indirect/3[3] +node-0:2137159:2138160 [1] NCCL INFO Channel 11/1 : 1[1] -> 6[6] via P2P/indirect/7[7] +node-0:2137159:2138161 [2] NCCL INFO Channel 10/1 : 2[2] -> 7[7] via P2P/indirect/4[4] +node-0:2137159:2138165 [6] NCCL INFO Channel 11/1 : 6[6] -> 3[3] via P2P/indirect/5[5] +node-0:2137159:2138163 [4] NCCL INFO Channel 11/1 : 4[4] -> 1[1] via P2P/indirect/2[2] +node-0:2137159:2138159 [0] NCCL INFO Channel 11/1 : 0[0] -> 5[5] via P2P/indirect/3[3] +node-0:2137159:2138164 [5] NCCL INFO Channel 11/1 : 5[5] -> 2[2] via P2P/indirect/4[4] +node-0:2137159:2138161 [2] NCCL INFO Channel 11/1 : 2[2] -> 7[7] via P2P/indirect/4[4] +node-0:2137159:2138163 [4] NCCL INFO Channel 14/1 : 4[4] -> 3[3] via P2P/indirect/5[5] +node-0:2137159:2138159 [0] NCCL INFO Channel 14/1 : 0[0] -> 7[7] via P2P/indirect/6[6] +node-0:2137159:2138163 [4] NCCL INFO Channel 15/1 : 4[4] -> 3[3] via P2P/indirect/5[5] +node-0:2137159:2138159 [0] NCCL INFO Channel 15/1 : 0[0] -> 7[7] via P2P/indirect/6[6] +node-0:2137159:2138165 [6] NCCL INFO ncclCommInitRank comm 0x191fada60 rank 6 nranks 8 cudaDev 6 nvmlDev 6 busId 700000 commId 0xbdb9b3d54baf996a - Init COMPLETE +node-0:2137159:2138163 [4] NCCL INFO ncclCommInitRank comm 0x191fa35f0 rank 4 nranks 8 cudaDev 4 nvmlDev 4 busId 500000 commId 0xbdb9b3d54baf996a - Init COMPLETE +node-0:2137159:2138159 [0] NCCL INFO ncclCommInitRank comm 0x19512d5d0 rank 0 nranks 8 cudaDev 0 nvmlDev 0 busId 100000 commId 0xbdb9b3d54baf996a - Init COMPLETE +node-0:2137159:2138161 [2] NCCL INFO ncclCommInitRank comm 0x195135530 rank 2 nranks 8 cudaDev 2 nvmlDev 2 busId 300000 commId 0xbdb9b3d54baf996a - Init COMPLETE +node-0:2137159:2138164 [5] NCCL INFO ncclCommInitRank comm 0x191fa75a0 rank 5 nranks 8 cudaDev 5 nvmlDev 5 busId 600000 commId 0xbdb9b3d54baf996a - Init COMPLETE +node-0:2137159:2138160 [1] NCCL INFO ncclCommInitRank comm 0x195131580 rank 1 nranks 8 cudaDev 1 nvmlDev 1 busId 200000 commId 0xbdb9b3d54baf996a - Init COMPLETE +node-0:2137159:2138162 [3] NCCL INFO ncclCommInitRank comm 0x1951394e0 rank 3 nranks 8 cudaDev 3 nvmlDev 3 busId 400000 commId 0xbdb9b3d54baf996a - Init COMPLETE +node-0:2137159:2138166 [7] NCCL INFO ncclCommInitRank comm 0x191fb4bb0 rank 7 nranks 8 cudaDev 7 nvmlDev 7 busId 800000 commId 0xbdb9b3d54baf996a - Init COMPLETE diff --git a/evalplus/pyproject.toml b/evalplus/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..992b44f969b62dd7079378b5bd27e8965817621b --- /dev/null +++ b/evalplus/pyproject.toml @@ -0,0 +1,8 @@ +[build-system] +requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2"] +build-backend = "setuptools.build_meta" + +[tool.setuptools_scm] +write_to = "evalplus/_version.py" +version_scheme = "release-branch-semver" +local_scheme = "no-local-version" diff --git a/evalplus/release.sh b/evalplus/release.sh new file mode 100644 index 0000000000000000000000000000000000000000..5a72245b04b24c459f89a519a98e1ba6f5c84b0e --- /dev/null +++ b/evalplus/release.sh @@ -0,0 +1,37 @@ +# argument version + +set -eux + +while getopts "v:" opt; do + case $opt in + v) + version=$OPTARG + ;; + \?) + echo "Invalid option: -$OPTARG" >&2 + ;; + esac +done + +if [ -z "$version" ]; then + echo "version is required" + exit 1 +fi + +export PYTHONPATH=$PWD pytest tests + +git tag $version + +# docker build +docker build . -t ganler/evalplus:$version +docker tag ganler/evalplus:$version ganler/evalplus:latest +docker push ganler/evalplus:$version +docker push ganler/evalplus:latest + +rm -rf dist +python3 -m build +python3 -m twine upload dist/* + +# git push +git push +git push --tags diff --git a/evalplus/requirements-evalperf.txt b/evalplus/requirements-evalperf.txt new file mode 100644 index 0000000000000000000000000000000000000000..5279d4d061572c6cfff210baf3676e6088dd3733 --- /dev/null +++ b/evalplus/requirements-evalperf.txt @@ -0,0 +1,2 @@ +Pympler +cirron diff --git a/evalplus/requirements.txt b/evalplus/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f0490576e52f2843abb352d361a8805069478e8 --- /dev/null +++ b/evalplus/requirements.txt @@ -0,0 +1,29 @@ +wget +appdirs +tempdir +multipledispatch +numpy +tqdm +termcolor +fire +rich +openai +tree_sitter>=0.22.0 +tree-sitter-python +datasets +psutil + +# vllm +vllm + +# anthropic +anthropic + +# google +google-generativeai + +# transformers +transformers + +# bedrock +boto3 diff --git a/evalplus/setup.cfg b/evalplus/setup.cfg new file mode 100644 index 0000000000000000000000000000000000000000..c8f8e96e13481f7536961c737d227a5535c16883 --- /dev/null +++ b/evalplus/setup.cfg @@ -0,0 +1,52 @@ +[metadata] +name = evalplus +description = "EvalPlus for rigourous evaluation of LLM-synthesized code" +long_description = file: README.md +long_description_content_type = text/markdown +url = https://github.com/evalplus/evalplus +license = Apache-2.0 +license_files = LICENSE +platform = any +classifiers = + Operating System :: OS Independent + Programming Language :: Python :: 3 + License :: OSI Approved :: Apache Software License + +[options] +packages = find: +python_requires = >=3.9 +dependency_links = +install_requires = + wget>=3.2 + tempdir>=0.7.1 + multipledispatch>=0.6.0 + appdirs>=1.4.4 + numpy>=1.19.5 + tqdm>=4.56.0 + termcolor>=2.0.0 + fire>=0.6.0 + openai>=1.11.1 + tree_sitter>=0.22.0 + tree-sitter-python>=0.21.0 + rich>=12.3.0 + transformers>=4.43.0 + anthropic>=0.34.1 + google-generativeai>=0.7.2 + datasets>=2.21.0 + psutil>=5.9.0 + boto3>=1.35.0 + +[options.entry_points] +console_scripts = + evalplus.evaluate = evalplus.evaluate:main + evalplus.inputgen = evalplus.inputgen:main + evalplus.sanitize = evalplus.sanitize:main + evalplus.syncheck = evalplus.syncheck:main + evalplus.codegen = evalplus.codegen:main + evalplus.evalperf = evalplus.evalperf:main + +[options.extras_require] +perf = Pympler>=1.0.1 + cirron>=0.4 +vllm = vllm>=0.5.1 +gptqmodel = gptqmodel>=1.4.1 diff --git a/evalplus/test.sh b/evalplus/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..95dd61533975a378dfba2d5d03cb5990a93e46a6 --- /dev/null +++ b/evalplus/test.sh @@ -0,0 +1,3 @@ +evalplus.evaluate --model "/home/aiscuser/fhw/model_weights/warriordeep224" --dataset humaneval --backend vllm --tp 8 --greedy --trust_remote_code --dtype float16 +evalplus.evaluate --model "/home/aiscuser/fhw/model_weights/warriordeep224" --dataset mbpp --backend vllm --tp 8 --greedy --trust_remote_code --dtype float16 +python /data/local/zhangdi/DPO/DPO_train.py diff --git a/evalplus/tests/requirements.txt b/evalplus/tests/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..e079f8a6038dd2dc8512967540f96ee0de172067 --- /dev/null +++ b/evalplus/tests/requirements.txt @@ -0,0 +1 @@ +pytest diff --git a/evalplus/tests/test_legacy_sanitizer.py b/evalplus/tests/test_legacy_sanitizer.py new file mode 100644 index 0000000000000000000000000000000000000000..b3cee0edac4b572d23561ef9ad068b67625d379c --- /dev/null +++ b/evalplus/tests/test_legacy_sanitizer.py @@ -0,0 +1,44 @@ +import pytest + +from evalplus.lecacy_sanitize import sanitize + + +def test_inline_fn(): + assert ( + sanitize( + """\ +def f(n): + def factorial(i): + if i == 0: + return 1 + else: + return i * factorial(i-1) + + result = [] + for i in range(1, n+1): + if i % 2 == 0: + result.append(factorial(i)) + else: + result.append(sum(range(1, i+1))) + return result + +# Test the function +print(f(5))""", + entry_point="f", + ) + == """\ +def f(n): + def factorial(i): + if i == 0: + return 1 + else: + return i * factorial(i-1) + + result = [] + for i in range(1, n+1): + if i % 2 == 0: + result.append(factorial(i)) + else: + result.append(sum(range(1, i+1))) + return result""" + ) diff --git a/evalplus/tests/test_treesitter_sanitizer.py b/evalplus/tests/test_treesitter_sanitizer.py new file mode 100644 index 0000000000000000000000000000000000000000..49dd6656be4b94fec79e5c55d279c7d44928b1b9 --- /dev/null +++ b/evalplus/tests/test_treesitter_sanitizer.py @@ -0,0 +1,258 @@ +from evalplus.sanitize import code_extract, sanitize + + +def test_code_extract(): + test_simple = r"""Here is some python code generated +import numpy as np +Sorry, I made a mistake, let me try again +from numpy import sin, cos, tan + +def f(x): + return tan(x) +As you can observe from above + """ + assert ( + code_extract(test_simple) + == r"""from numpy import sin, cos, tan + +def f(x): + return tan(x)""" + ) + + test_empty_lines = r"""import numpy as np + + +import pandas +Sorry, let me try again +from numpy import sin, cos, tan +def f(x): + return tan(x) +""" + assert ( + code_extract(test_empty_lines) + == r"""from numpy import sin, cos, tan +def f(x): + return tan(x)""" + ) + + +def test_sanitize_simple(): + icode = r"""Following is the code snippet: +```python +import numpy as np +from numpy import sin, cos + +def f(x): + return np.tan(x) + +def g(x): + return cos(f(x)) + +def g(x): + return sin(f(x)) + +def c(x): + assert 1==1 + +assert g(0) == 1 +``` +""" + assert ( + sanitize(icode) + == r"""import numpy as np +from numpy import sin, cos +def f(x): + return np.tan(x) +def g(x): + return cos(f(x))""" + ) + + +def test_sanitize_class(): + icode = r"""Following is the code snippet: +```python +import numpy as np +from numpy import sin, cos +class g(): + def hello_world(): + return 0 +def f(x): + print(g.hello_world()) + return np.tan(x) +``` +""" + + assert ( + sanitize(icode) + == r"""import numpy as np +from numpy import sin, cos +class g(): + def hello_world(): + return 0 +def f(x): + print(g.hello_world()) + return np.tan(x)""" + ) + + +def test_entrypoint_basic(): + icode = r"""Following is the code snippet: +```python +import numpy as np +from numpy import sin, cos + +def f(x): + return np.tan(x) + +def g(x): + return cos(f(x)) + +def g(x): + return sin(f(x)) + +def c(x): + return 0 + +assert g(0) == 1 +``` +""" + assert ( + sanitize(icode, "g") + == r"""import numpy as np +from numpy import sin, cos +def f(x): + return np.tan(x) +def g(x): + return cos(f(x))""" + ) + + +def test_entrypoint_chain(): + icode = r"""Following is the code snippet: +```python +import numpy as np +from numpy import sin, cos + +def f(x): + return c(x) +assert f(1) == 5 +def g(x): + return cos(f(x)) + +def c(x): + newObj = h() + return x + +class h(): + def hello_world(): + return 0 + +class h(): + def goodbye_world(): + return 0 + + +assert g(0) == 1 +``` +""" + print(sanitize(icode, "g")) + assert ( + sanitize(icode, "g") + == r"""import numpy as np +from numpy import sin, cos +def f(x): + return c(x) +def g(x): + return cos(f(x)) +def c(x): + newObj = h() + return x +class h(): + def hello_world(): + return 0""" + ) + + +def test_entrypoint_no_chain(): + icode = r"""Following is the code snippet: +```python +import numpy as np +from numpy import sin, cos, sum + +def f(x): + return np.sum(x) +assert f(1) == 5 +def g(x): + return cos(f(x)) + +def c(x): + newObj = h() + return x + +class h(): + def hello_world(): + return 0 + + +assert g(0) == 1 +``` +""" + assert ( + sanitize(icode, "g") + == r"""import numpy as np +from numpy import sin, cos, sum +def f(x): + return np.sum(x) +def g(x): + return cos(f(x))""" + ) + + +def test_entrypoint_variable(): + icode = r"""Following is the code snippet: +```python +import numpy as np +from numpy import sin, cos + +SOME_CONSTANT = 5 + +def f(x): + return c(x) +assert f(1) == 5 +def g(x): + return cos(f(x)) + +def c(x): + newObj = h() + return x + +class h(): + def hello_world(): + return SOME_CONSTANT + +def d(x): + return g(x) + +# Some tests +assert g(0) == 1 +print(g(123)) +ret = g(321) +``` +""" + + assert ( + sanitize(icode, "g") + == r"""import numpy as np +from numpy import sin, cos +SOME_CONSTANT = 5 +def f(x): + return c(x) +def g(x): + return cos(f(x)) +def c(x): + newObj = h() + return x +class h(): + def hello_world(): + return SOME_CONSTANT""" + ) diff --git a/evalplus/tools/_experimental/README.md b/evalplus/tools/_experimental/README.md new file mode 100644 index 0000000000000000000000000000000000000000..264bd68f95810e6724a943571131c756fe1a504e --- /dev/null +++ b/evalplus/tools/_experimental/README.md @@ -0,0 +1 @@ +# Experimental tools. Don't use. diff --git a/evalplus/tools/_experimental/evaluate_coverage.py b/evalplus/tools/_experimental/evaluate_coverage.py new file mode 100644 index 0000000000000000000000000000000000000000..b4d14b9a41cd42806404cc2161b6088b53cbd7e9 --- /dev/null +++ b/evalplus/tools/_experimental/evaluate_coverage.py @@ -0,0 +1,185 @@ +import argparse +import importlib +import inspect +import multiprocessing +import os +import sys +from io import StringIO +from typing import Any, Callable, List, Union + +import coverage + +from evalplus.data import get_human_eval_plus +from evalplus.data.utils import to_raw +from evalplus.eval.utils import reliability_guard, swallow_io, time_limit + + +def construct_inputs_sig(inputs: list) -> str: + str_builder = "" + for x in inputs: + if type(x) == str: + str_builder += f"'{to_raw(x)}'," + else: + str_builder += f"{x}," + return str_builder[:-1] + + +class Capturing(list): + def __enter__(self): + self._stdout = sys.stdout + sys.stdout = self._stringio = StringIO() + return self + + def __exit__(self, *args): + self.extend(self._stringio.getvalue().splitlines()) + del self._stringio + sys.stdout = self._stdout + + +def parse_lcov(outputs: List[str], func: Callable, mode: str = "branch"): + switch, extracted_outputs = False, [] + for line in outputs: + if switch == False and "tmp_src" in line: + switch = True + if switch == True and "end_of_record" in line: + switch = False + if switch: + extracted_outputs.append(line) + + src, start_lineno = inspect.getsourcelines(func) + end_lineno = start_lineno + len(src) - 1 + + if mode == "branch": + branch, branch_covered = [], [] + for line in extracted_outputs: + if line.startswith("BRDA"): + # BRDA format: BR:,,, + lineno, blockno, branchno, taken = line[5:].split(",") + branch_sig = f"BR:{lineno},{blockno},{branchno}" + branch.append(branch_sig) + if taken not in ["0", "-"]: + branch_covered.append(branch_sig) + per = 1.0 if len(branch) == 0 else len(branch_covered) / len(branch) + return per, branch, branch_covered + else: + not_covered_lines = [] + for line in extracted_outputs: + if line.startswith("DA"): + # DA format: DA:,[,...] + lineno, exec_count = line[3:].split(",")[:2] + if start_lineno <= int(lineno) <= end_lineno: + if exec_count == "0": + not_covered_lines.append(int(lineno)) + for lineno in not_covered_lines: + line = src[lineno - start_lineno] + if line.strip() != "" and "def" not in line: + src[lineno - start_lineno] = line[:-1] + " # Not executed\n" + return "".join(src) + + +def test_code_coverage( + code: str, inputs: List[List[Any]], entry_point: str, mode="branch" +): + def safety_test(code: str, inputs: List[List[Any]], entry_point: str): + for input_list in inputs: + code += f"{entry_point}({construct_inputs_sig(input_list)})\n" + reliability_guard() + try: + with swallow_io(): + with time_limit(1): + exec(code, {}) + except: + sys.exit(1) + + p = multiprocessing.Process(target=safety_test, args=(code, inputs, entry_point)) + p.start() + p.join() + safe = p.exitcode == 0 + if p.is_alive(): + p.terminate() + p.kill() + if not safe: + print("Potentially dangerous code, refuse coverage test.") + return None + + with open("tmp_src.py", "w") as f: + f.write(code) + import tmp_src + + importlib.reload(tmp_src) + func = getattr(tmp_src, f"{entry_point}", None) + assert func != None, f"{entry_point = } not exist" + + cov = coverage.Coverage(branch=True) + cov.start() + with swallow_io(): + for input_list in inputs: + func(*input_list) + cov.stop() + with Capturing() as outputs: + cov.lcov_report(outfile="-") + + ret = parse_lcov(outputs, func, mode) + + os.remove("tmp_src.py") + return ret + + +def test_solution_coverage( + dataset: str = "HumanEvalPlus", + task_id: str = "HumanEval/0", + impl: str = "canonical", + inputs: Union[str, List[List[Any]]] = "base_input", + mode: str = "branch", +): + """ + Parameters: + * dataset: {None, "HumanEval", "HumanEvalPlus"} + * task_id: ralated to dataset + * impl: {"canonical", source code} + * inputs: {"base_inputs", list} + * mode: {"branch"}, will support "line" for coverage-guided LLM test generation + """ + if "HumanEval" in dataset: + problems, problem = get_human_eval_plus(), None + for p in problems: + if p["task_id"] == task_id: + problem = p + assert problem != None, f"invalid {task_id = }" + entry_point = problem["entry_point"] + code = problem["prompt"] + ( + impl if impl != "canonical" else problem["canonical_solution"] + ) + if inputs == "base_input": + inputs = problem["base_input"] + else: + raise NotImplementedError + + return test_code_coverage(code, inputs, entry_point, mode) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "--mode", type=str, default="branch", choices=["line", "branch"] + ) + args = parser.parse_args() + + if args.mode == "branch": + for i in range(0, 164): + task_id = f"HumanEval/{i}" + branch, branch_covered = test_solution_coverage( + dataset="HumanEval", task_id=task_id, mode="branch" + ) + per = 1.0 if len(branch) == 0 else len(branch_covered) / len(branch) + if per != 1.0: + print(i, per, len(branch_covered), len(branch)) + else: + for i in range(0, 164): + task_id = f"HumanEval/{i}" + annotated_code = test_solution_coverage( + dataset="HumanEval", task_id=task_id, mode="line" + ) + if "Not executed" in annotated_code: + print(f"{task_id = }") + print(annotated_code) diff --git a/evalplus/tools/_experimental/evaluate_runtime.py b/evalplus/tools/_experimental/evaluate_runtime.py new file mode 100644 index 0000000000000000000000000000000000000000..ae2bc2ced3ece39f975a2e35efd72bd8efee34c0 --- /dev/null +++ b/evalplus/tools/_experimental/evaluate_runtime.py @@ -0,0 +1,116 @@ +import math +import multiprocessing +import time +from typing import Any, List, Union + +from evalplus.data import get_human_eval_plus +from evalplus.eval.utils import ( + TimeoutException, + create_tempdir, + reliability_guard, + swallow_io, + time_limit, +) + +MAX_WARMUP_LIMIT = 5 +RUN_REPEAT = 25 + + +def execute_for_runtime( + code: str, inputs: List, warmups: List, entry_point: str +) -> Union[str, float]: + def unsafe_execute(): + with create_tempdir(): + # These system calls are needed when cleaning up tempdir. + import os + import shutil + + rmtree = shutil.rmtree + rmdir = os.rmdir + chdir = os.chdir + # Disable functionalities that can make destructive changes to the test. + reliability_guard() + # load functions + exec_globals = {} + exec(code, exec_globals) + fn = exec_globals[entry_point] + try: + # warmup calls + for warmup in warmups: + with swallow_io(): + fn(*warmup) + + start_time = time.time() + # real call + with swallow_io(): + with time_limit(3): + fn(*inputs) + duration = time.time() - start_time + + result.append(duration) + except TimeoutException: + result.append("timed out") + except BaseException as e: + result.append("thrown exception") + # Needed for cleaning up. + shutil.rmtree = rmtree + os.rmdir = rmdir + os.chdir = chdir + + manager = multiprocessing.Manager() + result = manager.list() + p = multiprocessing.Process(target=unsafe_execute) + p.start() + p.join(timeout=3 + 1) + if p.is_alive(): + p.kill() + return result[0] + + +def test_solution_runtime( + dataset: str = "humaneval", + task_id: str = "HumanEval/0", + impl: str = "canonical", + inputs: Union[str, List[List[Any]]] = "base_input", +): + if "humaneval" in dataset: + problems, problem = get_human_eval_plus(), None + for p in problems: + if p["task_id"] == task_id: + problem = p + assert problem != None, f"invalid {task_id = }" + entry_point = problem["entry_point"] + impl = problem["prompt"] + ( + impl if impl != "canonical" else problem["canonical_solution"] + ) + if inputs == "base_input": + inputs = problem["base_input"] + + results = [1000, 1000] + for input_list in inputs: + # choose warmup input + warmups = [] + for base_input_list in problem["base_input"]: + if ( + hash(str(base_input_list)) != hash(str(input_list)) + and len(warmups) < MAX_WARMUP_LIMIT + ): + warmups.append(base_input_list) + runtime_list = [ + execute_for_runtime(impl, input_list, warmups, entry_point) + for _ in range(RUN_REPEAT) + ] + if any(type(x) != float for x in runtime_list): + print(f"{task_id = } incorrect") + return None, None + + avg_runtime = sum(runtime_list) / len(runtime_list) + sd = math.sqrt( + sum((runtime - avg_runtime) ** 2 for runtime in runtime_list) + / (RUN_REPEAT - 1) + ) + if sd < results[1]: + results[0] = avg_runtime + results[1] = sd + + return results diff --git a/evalplus/tools/_experimental/generate_big_input.py b/evalplus/tools/_experimental/generate_big_input.py new file mode 100644 index 0000000000000000000000000000000000000000..aee0a7d639c7b69ed077fae69c26005f3907be40 --- /dev/null +++ b/evalplus/tools/_experimental/generate_big_input.py @@ -0,0 +1,65 @@ +import json +import multiprocessing +import os + +from evalplus._experimental.type_mut_for_eff import TypedMutEffGen +from evalplus.data import HUMANEVAL_PLUS_INPUTS_PATH, get_human_eval_plus + +HUMANEVAL_PLUS_BIG_INPUTS_PATH = "/home/yuyao/eval-plus/HumanEvalPlusBigInputs" + + +def main(): + problems = get_human_eval_plus() + for p in problems: + print(f"{p['task_id']}...") + filename = p["task_id"].replace("/", "_") + big_input_path = os.path.join( + HUMANEVAL_PLUS_BIG_INPUTS_PATH, f"{filename}.json" + ) + + if os.path.exists(big_input_path): + continue + inputs = p["base_input"] + signature = p["entry_point"] + contract_code = p["prompt"] + p["contract"] + p["canonical_solution"] + + def input_generation(inputs, signature, contract_code): + try: + gen = TypedMutEffGen(inputs, signature, contract_code) + new_inputs = gen.generate() + results.append(new_inputs) + except: + with open("fail.txt", "a") as f: + f.write(f"{signature} failed") + results.append("fail") + + manager = multiprocessing.Manager() + results = manager.list() + proc = multiprocessing.Process( + target=input_generation, args=(inputs, signature, contract_code) + ) + proc.start() + proc.join(timeout=300) + if proc.is_alive(): + proc.terminate() + proc.kill() + continue + if len(results) == 0 or type(results[0]) == str: + continue + new_inputs = results[0] + + new_input_dict = dict() + new_input_dict["task_id"] = p["task_id"] + new_input_dict["inputs"] = [] + new_input_dict["sd"] = [] + for item in new_inputs: + new_input_dict["inputs"].append(item.inputs) + new_input_dict["sd"].append(item.fluctuate_ratio) + with open( + os.path.join(HUMANEVAL_PLUS_BIG_INPUTS_PATH, f"{filename}.json"), "w" + ) as f: + json.dump(new_input_dict, f) + + +if __name__ == "__main__": + main() diff --git a/evalplus/tools/_experimental/set_cover.py b/evalplus/tools/_experimental/set_cover.py new file mode 100644 index 0000000000000000000000000000000000000000..71172ac63f1660282cf06329db289a0afe4b3dd6 --- /dev/null +++ b/evalplus/tools/_experimental/set_cover.py @@ -0,0 +1,82 @@ +import json +import os + +from rich.progress import track + +from evalplus.data import get_human_eval_plus, get_human_eval_plus_inputs + +LLM_HOME_PATH = "/JawTitan/EvalPlus/humaneval" +model_paths = os.listdir(LLM_HOME_PATH) + +problems = get_human_eval_plus().values() +new_inputs = get_human_eval_plus_inputs() +cover_info = {f"HumanEval_{i}": {} for i in range(164)} + + +# One dict is super huge, so split them into separate JSON files +def get_cover_info(): + for model_path in track(model_paths, description="Collecting sets..."): + if not model_path[-1].isdigit(): + continue + eval_json_path = os.path.join(LLM_HOME_PATH, model_path, "eval_results.json") + if not os.path.exists(eval_json_path): + continue + with open(eval_json_path, "r") as f: + res = json.load(f)["eval"] + for task_id, v in res.items(): + for i_code, (status, res_list) in enumerate(v["base"]): + if status == "success": + continue + code_id = hash(v["files"][i_code]) + for i_test, res in enumerate(res_list): + test_id = f"base_{i_test}" + if res == False: + cover_info[task_id].setdefault(test_id, []).append(code_id) + for i_code, (status, res_list) in enumerate(v["plus"]): + if status == "success": + continue + code_id = hash(v["files"][i_code]) + for i_test, res in enumerate(res_list): + test_id = f"plus_{i_test}" + if res == False: + cover_info[task_id].setdefault(test_id, []).append(code_id) + + +if __name__ == "__main__": + get_cover_info() + for i in track(range(164), description="Solving set covering..."): + task_id = f"HumanEval_{i}" + tests = cover_info[task_id] + q, U = [], set() + for test_name, test_cover in tests.items(): + cover_set = set(test_cover) + q.append((test_name, cover_set)) + U = U.union(cover_set) + # Greedy + min_cover = [] + while len(U) > 0: + max_uncover_set, max_test_name = {}, "" + for test_name, cover_set in q: + if len(cover_set) > len(max_uncover_set): + max_uncover_set = cover_set + max_test_name = test_name + min_cover.append(max_test_name) + U = U - max_uncover_set + qq = [] + for test_name, cover_set in q: + new_cover_set = U.intersection(cover_set) + if len(new_cover_set) != 0: + qq.append((test_name, new_cover_set)) + q = qq + + d = {"task_id": task_id, "inputs": []} + for test in min_cover: + tmp = test.split("_") + t, n = tmp[0], int(tmp[1]) + if t == "base": + d["inputs"].append(problems[i]["base_input"][n]) + else: + print(task_id, n) + d["inputs"].append(new_inputs[task_id][n]) + with open("HumanEvalPlusInputsMin.jsonl", "a") as f: + f.write(json.dumps(d) + "\n") diff --git a/evalplus/tools/_experimental/topset_distill.py b/evalplus/tools/_experimental/topset_distill.py new file mode 100644 index 0000000000000000000000000000000000000000..f9c0ceae8a89de24120f27109f89f67188cdd125 --- /dev/null +++ b/evalplus/tools/_experimental/topset_distill.py @@ -0,0 +1,69 @@ +import json +import os + +import numpy as np + +from evalplus.data import get_human_eval_plus, get_human_eval_plus_inputs + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--root", type=str, default="/JawTitan/EvalPlus/humaneval") + args = parser.parse_args() + + plus_inputs = get_human_eval_plus_inputs() + problems = get_human_eval_plus().values() + + base_bvs = {} + plus_bvs = {} + id2idx = {} + + for i, problem in enumerate(problems): + task_id = problem["task_id"] + id2idx[task_id] = i + base_bvs[task_id] = np.zeros(len(problem["base_input"]), dtype=bool) + plus_bvs[task_id] = np.zeros(len(plus_inputs[task_id]), dtype=bool) + + for path in os.listdir(args.root): + eval_json_path = os.path.join(args.root, path, "eval_results.json") + if not os.path.isfile(eval_json_path) or not path[-1].isdigit(): + print(f"skip {path}") + continue + res = json.load(open(eval_json_path, "r"))["eval"] + + for task_id, v in res.items(): + for status, details in v["base"]: + if details is None: # all fail => skip + continue + fails = np.logical_not(details) + base_bvs[task_id][: len(details)] = np.logical_xor( + base_bvs[task_id][: len(details)], fails + ) + for status, details in v["plus"]: + if details is None: + continue + fails = np.logical_not(details) + plus_bvs[task_id][: len(details)] = np.logical_xor( + plus_bvs[task_id][: len(details)], fails + ) + + testsuite = [] + + new_sizes = [] + for task_id, bbv in base_bvs.items(): + new_inputs = [] + idx = id2idx[task_id] + for i in np.nonzero(bbv)[0]: + new_inputs.append(problems[idx]["base_input"][i]) + pbv = plus_bvs[task_id] + for i in np.nonzero(pbv)[0]: + new_inputs.append(plus_inputs[task_id][i]) + testsuite.append({"task_id": task_id, "inputs": new_inputs}) + print( + task_id, f" org base {len(bbv)}; org plus {len(pbv)}; new {len(new_inputs)}" + ) + new_sizes.append(len(new_inputs)) + + new_sizes = np.array(new_sizes) + print(f"{new_sizes.mean() = }, {new_sizes.min() = }, {new_sizes.max() = }") diff --git a/evalplus/tools/_experimental/type_mut_for_eff.py b/evalplus/tools/_experimental/type_mut_for_eff.py new file mode 100644 index 0000000000000000000000000000000000000000..d6bbd12925094011d4ee05653a71d1f5c67df920 --- /dev/null +++ b/evalplus/tools/_experimental/type_mut_for_eff.py @@ -0,0 +1,500 @@ +import copy +import math +import random +import string +from typing import Any, Dict, List, Optional, Set, Tuple + +from multipledispatch import dispatch +from rich.progress import track + +from evalplus._experimental.evaluate_runtime import ( + MAX_WARMUP_LIMIT, + RUN_REPEAT, + execute_for_runtime, +) +from evalplus.gen.mut_gen import MutateGen + +MUTATE_BOUND_SIZE = 5 +MAX_MULTI_STEP_SIZE = 1000 +MAX_SEED_POOL = 10 + +NoneType = type(None) +MAX_SIZE = 80000 +VALUE_MAX = 1000000 + + +# decorator to use ingredients +class use_ingredient: + def __init__(self, prob: float): + assert 0 <= prob <= 0.95 + self.prob = prob + + def __call__(obj, func): + def wrapper(self, seed_input): + if random.random() < obj.prob and self.ingredients[type(seed_input)]: + return random.choice(list(self.ingredients[type(seed_input)])) + else: + return func(self, seed_input) + + return wrapper + + +class TestInput: + def __init__(self, inputs: List, runtime: float, sd: float): + self.inputs = inputs + self.sz = self.typed_size(inputs) + self.runtime = runtime + self.sd = sd + self.rank_sd = self.rank_sz = 1 + + def __str__(self): + return str(self.inputs) + + @property + def fluctuate_ratio(self) -> float: + return self.sd / self.runtime * 100 + + @property + def rank(self) -> float: + return self.rank_sd * (self.rank_sz**0.8) if self.sz <= 2000 else self.rank_sd + + @dispatch(NoneType) + def typed_size(self, _) -> int: + return 1 + + @dispatch(int) + def typed_size(self, _) -> int: + return 1 + + @dispatch(float) + def typed_size(self, _) -> int: + return 1 + + @dispatch(bool) + def typed_size(self, _) -> int: + return 1 + + @dispatch(str) + def typed_size(self, s: str) -> int: + return len(s) + + @dispatch(list) + def typed_size(self, l: list) -> int: + return sum(self.typed_size(x) for x in l) + + @dispatch(tuple) + def typed_size(self, t: tuple) -> int: + return sum(self.typed_size(x) for x in t) + + @dispatch(set) + def typed_size(self, s: set) -> int: + return sum(self.typed_size(x) for x in s) + + @dispatch(dict) + def typed_size(self, d: dict) -> int: + return sum(self.typed_size(x) for x in d.items()) + + +class TypedMutEffGen(MutateGen): + def __init__(self, inputs: List, signature: str, contract_code: str): + super().__init__(inputs, signature, contract_code) + + self.base_inputs = copy.deepcopy(inputs) + self.seed_pool: List[TestInput] = [] + self.seed_hash: Set[str] = set() + for base_input in self.base_inputs: + avg, sd = self.test_efficiency(base_input) + assert avg != None and sd != None, "base inputs not correct" + self.insert_input(TestInput(base_input, avg, sd)) + self.seed_hash.add(hash(str(base_input))) + + self.ingredients = { + int: set(), + float: set(), + str: set(), + } + for x in inputs: + self.fetch_ingredient(x) + + def insert_input(self, new_input: TestInput): + new_input_hash = hash(str(new_input)) + if new_input_hash in self.seed_hash: + return + self.seed_pool.append(new_input) + self.seed_pool.sort(key=lambda x: x.fluctuate_ratio) + self.seed_hash.add(new_input_hash) + + if len(self.seed_pool) > MAX_SEED_POOL: + self.seed_pool.sort(key=lambda x: x.fluctuate_ratio) + for i in range(len(self.seed_pool)): + self.seed_pool[i].rank_sd = i + 1 + self.seed_pool.sort(key=lambda x: -x.sz) + for i in range(len(self.seed_pool)): + self.seed_pool[i].rank_sz = i + 1 + self.seed_pool.sort(key=lambda x: x.rank) + seed_deleted = self.seed_pool[-1] + self.seed_hash.remove(hash(str(seed_deleted))) + self.seed_pool = self.seed_pool[:-1] + + def test_efficiency(self, new_input: List) -> Tuple[Optional[float]]: + warmups = [] + new_input_hash = hash(str(new_input)) + for input_list in self.base_inputs: + if ( + len(warmups) < MAX_WARMUP_LIMIT + and hash(str(input_list)) != new_input_hash + ): + warmups.append(input_list) + runtime_list = [ + execute_for_runtime(self.contract_code, new_input, warmups, self.signature) + for _ in range(RUN_REPEAT) + ] + if any(type(x) != float for x in runtime_list): + return None, None + avg = sum(runtime_list) / RUN_REPEAT + sd = math.sqrt(sum((t - avg) ** 2 for t in runtime_list) / (RUN_REPEAT - 1)) + return avg, sd + + ######################### + # Type-aware generation # + ######################### + @dispatch(NoneType) + def typed_gen(self, _): + return None + + @dispatch(int) + def typed_gen(self, _): + @use_ingredient(0.5) + def _impl(*_): + return random.randint(-VALUE_MAX, VALUE_MAX) + + return _impl(self, _) + + @dispatch(float) + def typed_gen(self, _): + @use_ingredient(0.5) + def _impl(*_): + return random.uniform(-VALUE_MAX, VALUE_MAX) + + return _impl(self, _) + + @dispatch(bool) + def typed_gen(self, _): + return random.choice([True, False]) + + @dispatch(str) + def typed_gen(self, _): + @use_ingredient(0.5) + def _impl(*_): + return "".join( + random.choice(string.ascii_letters) + for _ in range(random.randint(0, 10)) + ) + + return _impl(self, _) + + def any_gen(self): + # weighted choose + choice = random.choices( + [ + True, + 1, + 1.1, + "str", + [], # list + tuple(), # tuple + dict(), # dict + None, # None + ], + [0.2, 0.2, 0.2, 0.2, 0.05, 0.05, 0.05, 0.05], + )[0] + return self.typed_gen(choice) + + @dispatch(list) + def typed_gen(self, _): + ret = [] + size = random.randint(0, 10) + if random.randint(0, 4) == 0: # heterogeneous + for _ in range(size): + ret.append(self.any_gen()) + else: # homogeneous + t = random.choice([bool(), int(), float(), str()]) + for _ in range(size): + ret.append(self.typed_gen(t)) + return ret + + @dispatch(tuple) + def typed_gen(self, _): + return tuple(self.typed_gen([])) + + # NOTE: disable set for now as Steven is too weak in Python (/s) + # @dispatch(set) + # def typed_gen(self, _): + # return set(self.typed_gen([])) + + @dispatch(dict) + def typed_gen(self, _): + ret = dict() + values = self.typed_gen([]) + # NOTE: Assumption: nobody uses dict with heterogeneous keys + # NOTE: Assumption: nobody uses dict with boolean keys + key_type = random.choice([int(), float(), str()]) + for v in values: + ret[self.typed_gen(key_type)] = self.typed_gen(v) + return ret + + ######################## + # Type-aware mutation # + ######################## + # Simple primitives + @dispatch(int) + def typed_mutate(self, seed_input: int): + @use_ingredient(0.1) + def _impl(_, seed_input: int): + prob = random.uniform(0, 1) + if 0 <= prob < 0.2: + return seed_input * 2 + elif 0.2 <= prob < 0.9: + return random.randint(-VALUE_MAX, VALUE_MAX) + else: + return seed_input + 5 + + return _impl(self, seed_input) + + @dispatch(float) + def typed_mutate(self, seed_input: float): + @use_ingredient(0.1) + def _impl(_, seed_input: float): + prob = random.uniform(0, 1) + if 0 <= prob < 0.2: + return seed_input * (2 + random.uniform(-0.5, 0.5)) + elif 0.2 <= prob < 0.9: + return random.uniform(-VALUE_MAX, VALUE_MAX) + else: + return seed_input + 5.0 + + return _impl(self, seed_input) + + @dispatch(bool) + def typed_mutate(self, seed_input: bool): + return random.choice([True, False]) + + @dispatch(NoneType) + def typed_mutate(self, seed_input: NoneType): + return None + + # List-like + @dispatch(list) + def typed_mutate(self, seed_input: List): + if len(seed_input) == 0: + return self.typed_gen([]) + + choice = random.randint(1, 3) + idx = random.randint(0, len(seed_input) - 1) + if choice == 1 and 0 < len(seed_input) < MAX_SIZE: # length *= 1.1 + old_length = len(seed_input) + new_length = math.ceil(old_length * 1.1) + for _ in range(new_length - old_length): + seed_input.insert( + random.randint(0, len(seed_input) - 1), + self.typed_mutate(seed_input[idx]), + ) + elif choice == 2 and 0 < len(seed_input) < MAX_SIZE: # repeat, length *= 1.1 + old_length = len(seed_input) + new_length = math.ceil(old_length * 1.1) + for _ in range(new_length - old_length): + seed_input.append(seed_input[idx]) + else: # inplace element change, large_scale + for idx in range(len(seed_input)): + if random.uniform(0, 1) > 0.7: + seed_input[idx] = self.typed_mutate(seed_input[idx]) + return seed_input + + @dispatch(tuple) + def typed_mutate(self, seed_input: Tuple): + return tuple(self.typed_mutate(list(seed_input))) + + # String + @dispatch(str) + def typed_mutate(self, seed_input: str): + @use_ingredient(0.1) + def _impl(_, seed_input: str): + choice = random.randint(0, 2) if seed_input else 0 + if ( + choice <= 1 and self.ingredients[str] + ): # insert ingredients, length *= 1.1 + new_length = math.ceil(len(seed_input) * 1.1) + while len(seed_input) < new_length: + idx = random.randint(0, len(seed_input)) + seed_input = ( + seed_input[:idx] + + random.choice(list(self.ingredients[str])) + + seed_input[idx:] + ) + return seed_input + # other choices assume len(seed_input) > 0 + elif choice == 2: # inplace mutation, large_scale + ch_list = [] + for i in range(len(seed_input)): + if random.uniform(0, 1) > 0.7: + ch_list.append(random.choice(string.ascii_letters)) + else: + ch_list.append(seed_input[i]) + return "".join(ch_list) + + # random char + return self.typed_gen(str()) + + return _impl(self, seed_input) + + # Set + @dispatch(set) + def typed_mutate(self, seed_input: Set): + return set(self.typed_mutate(list(seed_input))) + + # Dict + @dispatch(dict) + def typed_mutate(self, seed_input: Dict): + if len(seed_input) == 0: + return self.typed_gen(dict()) + + choice = random.randint(1, 2) + if choice == 1: # add a kv + k = self.typed_mutate(random.choice(list(seed_input.keys()))) + v = self.typed_mutate(random.choice(list(seed_input.values()))) + seed_input[k] = v + elif choice == 2: # inplace value change + k0, v0 = random.choice(list(seed_input.items())) + seed_input[k0] = self.typed_mutate(v0) + return seed_input + + ############################################ + # Fetching ingredients to self.ingredients # + ############################################ + def fetch_ingredient(self, seed_input): + self.typed_fetch(seed_input) + + @dispatch(int) + def typed_fetch(self, seed_input: int): + self.ingredients[int].add(seed_input) + + @dispatch(float) + def typed_fetch(self, seed_input: float): + self.ingredients[float].add(seed_input) + + @dispatch(str) + def typed_fetch(self, seed_input: str): + self.ingredients[str].add(seed_input) + for token in seed_input.strip().split(): + self.ingredients[str].add(token) + + # List-like + def _fetch_list_like(self, seed_input): + for x in seed_input: + if self.typed_fetch.dispatch(type(x)): + self.fetch_ingredient(x) + + @dispatch(list) + def typed_fetch(self, seed_input: List): + self._fetch_list_like(seed_input) + + @dispatch(tuple) + def typed_fetch(self, seed_input: Tuple): + self._fetch_list_like(seed_input) + + # NOTE: disable set for now as Steven is too weak in Python (/s) + # @dispatch(set) + # def typed_fetch(self, seed_input: Set): + # self._fetch_list_like(seed_input) + + # Dict + @dispatch(dict) + def typed_fetch(self, seed_input: Dict): + self._fetch_list_like(seed_input.keys()) + self._fetch_list_like(seed_input.values()) + + # Type-aware concatenation + + @dispatch(int, int) + def concat(x: int, y: int): + return x + y + + @dispatch(float, float) + def concat(x: float, y: float): + return x + y + + @dispatch(bool, bool) + def concat(x: bool, y: bool): + return random.choice([x, y]) + + @dispatch(NoneType, NoneType) + def concat(x: NoneType, y: NoneType): + return None + + @dispatch(list, list) + def concat(x: list, y: list): + choice = random.randint(0, 1) + return ( + copy.deepcopy(x) + copy.deepcopy(y) + if choice == 0 + else copy.deepcopy(y) + copy.deepcopy(x) + ) + + @dispatch(str, str) + def concat(x: str, y: str): + choice = random.randint(0, 1) + return x + y if choice == 0 else y + x + + @dispatch(set, set) + def concat(x: set, y: set): + return x.union(y) + + @dispatch(dict, dict) + def concat(x: dict, y: dict): + return x.update(y) + + def mutate(self, seed: TestInput) -> List[Any]: + new_input = copy.deepcopy(seed.inputs) + + for _ in range(20): + prob = random.uniform(0, 1) + if 0 <= prob < 0.1 and seed.sz <= MAX_SIZE: + another_seed = random.choice(self.seed_pool).inputs + new_input = [ + self.concat(new_input[i], another_seed[i]) + for i in range(len(new_input)) + ] + else: + for i in range(len(new_input)): + new_input[i] = self.typed_mutate(new_input[i]) + + return new_input + + def generate(self) -> List[TestInput]: + for _ in track(range(40)): + seed = self.seed_selection() + new_input = self.mutate(seed) + # print(len(new_input[0])) + avg, sd = self.test_efficiency(new_input) + if avg != None and sd != None: + self.insert_input(TestInput(new_input, avg, sd)) + return self.seed_pool + + +if __name__ == "__main__": + from evalplus.data import get_human_eval_plus + + problems = get_human_eval_plus() + for p in problems[43:44]: + inputs = p["base_input"] + entry_point = p["entry_point"] + contract = p["prompt"] + p["contract"] + p["canonical_solution"] + gen = TypedMutEffGen(inputs, entry_point, contract) + new_inputs = gen.generate() + for i, new_input in enumerate(new_inputs): + print(f"New input {i}: sz: {new_input.sz}") + if new_input.sz <= 10: + print(new_input.inputs) + print( + f"- Runtime: {new_input.runtime}, Sd: {new_input.sd}, Per: {new_input.fluctuate_ratio}" + ) diff --git a/evalplus/tools/checker.py b/evalplus/tools/checker.py new file mode 100644 index 0000000000000000000000000000000000000000..02da91c747f4b88a26f7bd7c3c3a0d682fd65600 --- /dev/null +++ b/evalplus/tools/checker.py @@ -0,0 +1,6 @@ +"""This script is kept for compatibility. Use evalplus.sanitize if possible.""" + +from evalplus.sanitize import main + +if __name__ == "__main__": + main() diff --git a/evalplus/tools/collect_valid_solutions.py b/evalplus/tools/collect_valid_solutions.py new file mode 100644 index 0000000000000000000000000000000000000000..d8d478f63efc0f4fe1c7f719b0b9e2c2e5896a08 --- /dev/null +++ b/evalplus/tools/collect_valid_solutions.py @@ -0,0 +1,201 @@ +import ast +import json +import multiprocessing +import os +import re +from concurrent.futures import ProcessPoolExecutor, as_completed +from typing import Dict, List + +import astor +import black +from tqdm import tqdm + +from evalplus.data import ( + get_human_eval_plus, + get_human_eval_plus_hash, + get_mbpp_plus, + get_mbpp_plus_hash, +) +from evalplus.eval import PASS +from evalplus.evalperf import correctness_check +from evalplus.evaluate import get_groundtruth + + +def find_calls(source, functors, skip_main_fn=True): + class FunctorVisitor(ast.NodeVisitor): + def __init__(self, target_functors): + super().__init__() + self.target_functors = target_functors + self._temp_found_functors = set() + self.results = [] + + def visit_FunctionDef(self, node): + self.current_function = node.name + self._temp_found_functors = set() + self.generic_visit(node) # Continue traversing child nodes + if self._temp_found_functors: + self.results.append((self.current_function, self._temp_found_functors)) + + # visit func def + def visit_FunctionDef(self, node: ast.FunctionDef): + if skip_main_fn and node.name == "main": + return + # visit child nodes + self.generic_visit(node) + + def visit_Call(self, node): + if isinstance(node.func, ast.Name) and node.func.id in self.target_functors: + self._temp_found_functors.add(node.func.id) + self.generic_visit(node) + + tree = ast.parse(source) + visitor = FunctorVisitor(target_functors=functors) + visitor.visit(tree) + return {caller: callee for caller, callee in visitor.results} + + +def void_calls(source, functors, skip_main_fn=True): + changed = False + + class FunctorTransformer(ast.NodeTransformer): + def __init__(self, target_functors): + super().__init__() + self.target_functors = target_functors + + # visit func def + def visit_FunctionDef(self, node: ast.FunctionDef): + if skip_main_fn and node.name == "main": + return node + # visit child nodes + return self.generic_visit(node) + + def visit_Call(self, node): + if isinstance(node.func, ast.Name) and node.func.id in self.target_functors: + nonlocal changed + changed = True + return ast.Expr(value=ast.Constant(value=None)) + return node + + tree = ast.parse(source) + code = astor.to_source(FunctorTransformer(functors).visit(tree)) + fmt_code = black.format_str(code, mode=black.FileMode()) + return (fmt_code, changed) + + +def has_print_in_non_main_functions(source) -> bool: + for caller, _ in find_calls(source, ["print"]).items(): + if caller != "main": + return True + return False + + +def gather_solutions(sample_path: str, task_id: str) -> List[str]: + """Gather all solutions from the folders""" + solutions = [] + for model in os.listdir(sample_path): + model_path = os.path.join(sample_path, model) + if not os.path.isdir(model_path): + continue + task_path = os.path.join(model_path, task_id) + if os.path.isdir(task_path): + for file in os.listdir(task_path): + if file.endswith(".py"): + with open(os.path.join(task_path, file), "r") as f: + solutions.append(f.read()) + return solutions + + +def deduplicate(solutions: List[str]) -> List[str]: + """Deduplicate solutions""" + asts = set() + deduplicated = [] + for solution in solutions: + solution = re.sub(r"#[^\n]*", "", solution) + solution = re.sub(r'"""[^"]*"""', "", solution) + solution = re.sub(r"'''[^']*'''", "", solution) + try: + ast_string = ast.dump(ast.parse(solution)) + except SyntaxError: + continue + except MemoryError: + continue + if ast_string not in asts: + asts.add(ast_string) + deduplicated.append(solution) + return list(deduplicated) + + +def test_solutions( + dataset: str, solutions: List[str], task: Dict, expected_output: List +) -> List[str]: + """Test solutions, return functionally correct solutions""" + n_workers = max(1, multiprocessing.cpu_count() // 2) + correct_solution_ids = [] + + with ProcessPoolExecutor(max_workers=n_workers) as executor: + futures = [ + executor.submit( + correctness_check, index, solution, dataset, task, expected_output + ) + for index, solution in enumerate(solutions) + ] + for future in as_completed(futures): + index, result, _ = future.result() + if result[0] == PASS: + correct_solution_ids.append(index) + + return [solutions[i] for i in correct_solution_ids] + + +def script(sample_dir: str, dataset: str = "humaneval", debug_task: str = None): + assert dataset in ["humaneval", "mbpp"] + if dataset == "humaneval": + problems = get_human_eval_plus(noextreme=True) + dataset_hash = get_human_eval_plus_hash(noextreme=True) + expected_output = get_groundtruth(problems, dataset_hash, []) + elif dataset == "mbpp": + from evalplus.eval._special_oracle import MBPP_OUTPUT_NOT_NONE_TASKS + + problems = get_mbpp_plus(noextreme=True) + dataset_hash = get_mbpp_plus_hash(noextreme=True) + expected_output = get_groundtruth( + problems, + dataset_hash, + MBPP_OUTPUT_NOT_NONE_TASKS, + ) + + previous_solutions = None + + for task_id, task in tqdm(problems.items()): + if debug_task and task_id != debug_task: + continue + solutions = gather_solutions(sample_dir, task_id.replace("/", "_")) + solutions = deduplicate(solutions) + correct_solutions = test_solutions( + dataset, solutions, task, expected_output[task_id] + ) + + # clean solutions to remove print statements and format it + correct_solutions = [ + void_calls(solution, ["print"])[0] for solution in correct_solutions + ] + + # Assuming that the previous solutions are correct + if previous_solutions and task_id in previous_solutions: + correct_solutions = deduplicate( + correct_solutions + previous_solutions[task_id] + ) + with open("solutions.jsonl", "a+") as f: + f.write( + json.dumps({"task_id": task_id, "solution": correct_solutions}) + "\n" + ) + + +def main(): + from fire import Fire + + Fire(script) + + +if __name__ == "__main__": + main() diff --git a/evalplus/tools/directory_to_jsonl.py b/evalplus/tools/directory_to_jsonl.py new file mode 100644 index 0000000000000000000000000000000000000000..c60137b5c0ac7bdb8bcb8c4bd24d0e9635660eda --- /dev/null +++ b/evalplus/tools/directory_to_jsonl.py @@ -0,0 +1,48 @@ +# Convert a directory of solutions to a JSONL file + +import json +import os + +from tqdm import tqdm + +from evalplus.data import get_human_eval_plus, get_mbpp_plus +from evalplus.sanitize import sanitize + + +def main(directory, sanitize_code: bool = True): + basename = os.path.basename(directory) + parent_dir = os.path.dirname(directory) + target_jsonl_path = os.path.join(parent_dir, f"{basename}.jsonl") + + datasets = {**get_human_eval_plus(), **get_mbpp_plus()} + + with open(target_jsonl_path, "w") as f: + # iterate directories + for subdir_name in tqdm(os.listdir(directory)): + subdir_path = os.path.join(directory, subdir_name) + if not os.path.isdir(subdir_path): + continue + + assert "_" in subdir_name + dataset_name, task_num = subdir_name.split("_") + task_id = f"{dataset_name}/{task_num}" + entrypoint = datasets[task_id]["entry_point"] + for sample_name in os.listdir(subdir_path): + if not sample_name.endswith(".py"): + continue + code = open(os.path.join(subdir_path, sample_name)).read() + if sanitize_code: + try: + code = sanitize(code, entrypoint=entrypoint) + except ValueError as e: + print(f"Failed to sanitize {task_id}/{sample_name}: {e}") + print(code) + continue + + f.write(json.dumps({"task_id": task_id, "solution": code}) + "\n") + + +if __name__ == "__main__": + from fire import Fire + + Fire(main) diff --git a/evalplus/tools/evalperf/hf_upload.py b/evalplus/tools/evalperf/hf_upload.py new file mode 100644 index 0000000000000000000000000000000000000000..62e3a91bd9022009ea0c146083e0fefc3d71dfcf --- /dev/null +++ b/evalplus/tools/evalperf/hf_upload.py @@ -0,0 +1,63 @@ +import json +import os + +from datasets import Dataset, DatasetDict +from fire import Fire +from huggingface_hub import create_tag, delete_tag, list_repo_refs + +from evalplus.data import get_human_eval_plus, get_mbpp_plus + +REPO_ID = "evalplus/evalperf" + + +def main(path, overwrite=False): + assert path.endswith(".jsonl"), f"{path} is not a jsonl file" + name = os.path.basename(path).split(".")[0] + first, version = name.split("-") + assert first == "evalperf", f"Expected fmt evalperf-[date].jsonl; but got {path}" + + evalplus_datasets = {**get_human_eval_plus(), **get_mbpp_plus()} + + with open(path, "r") as f: + data = [json.loads(line) for line in f] + + # drop task ids that are removed in latest EvalPlus dataset + to_drop = [ + task["task_id"] for task in data if task["task_id"] not in evalplus_datasets + ] + print(f"Removing {len(to_drop)} tasks that are not in the latest EvalPlus dataset") + print(to_drop) + data = [d for d in data if d["task_id"] not in to_drop] + + # convert pe_input into string + for d in data: + d["pe_input"] = json.dumps(d["pe_input"]) + d["entry_point"] = evalplus_datasets[d["task_id"]]["entry_point"] + d["prompt"] = evalplus_datasets[d["task_id"]]["prompt"] + + # combine + dataset = DatasetDict( + { + "test": Dataset.from_list(data, split="test"), + "demo": Dataset.from_list(data[:2], split="demo"), + } + ) + print(dataset) + + repo = list_repo_refs(REPO_ID, repo_type="dataset") + tags = [tag.name for tag in repo.tags] + print(REPO_ID, "has tags:", tags) + + print(f"Uploading dataset with tag {version} to Hub... Please enter to confirm:") + input() + + if version in tags and overwrite: + print(f"Tag {version} already exists, overwriting...") + delete_tag(REPO_ID, repo_type="dataset", tag=version) + + dataset.push_to_hub(REPO_ID, branch="main") + create_tag(REPO_ID, repo_type="dataset", tag=version) + + +if __name__ == "__main__": + Fire(main) diff --git a/evalplus/tools/evalperf/intra_model_viz.py b/evalplus/tools/evalperf/intra_model_viz.py new file mode 100644 index 0000000000000000000000000000000000000000..f5cc29aae1e2df2c4e975038449ac51a8d1832d5 --- /dev/null +++ b/evalplus/tools/evalperf/intra_model_viz.py @@ -0,0 +1,196 @@ +# for the same model, we first study which prompting strategy is better + +import json +import os +import re +from collections import defaultdict +from statistics import mean + +import matplotlib.pyplot as plt +from matplotlib.colors import LinearSegmentedColormap +from rich import print + + +def normalize_to_base_name(name: str) -> str: + name = ( + name.replace("Chat", "") + .replace("instruct", "") + .replace("code-llama", "CodeLlama") + .replace("deepseek-coder", "DeepSeek-Coder") + .replace("gpt-4-turbo", "GPT-4-Turbo") + .replace("starcoder", "StarCoder") + .replace("--v0.1", "") + .replace("-base", "") + .replace("-preview", "") + .strip("-") + ) + # ${NUM}b -> ${NUM}B + return re.sub(r"(\d+)b", r"\1B", name) + + +def load_dps_scores(path: str, norm: bool = False): + with open(path) as f: + results = json.load(f) + + task2score = {} + for task_id, result in results.items(): + # new rpr + new_key = "norm_scores" if norm else "scores" + if result.get(new_key) is not None: + task2score[task_id] = result[new_key]["avg"] + # legacy rpr + legacy_key = "dps_norm" if norm else "dps" + if result.get(legacy_key) is not None: + task2score[task_id] = mean(result[legacy_key]) + + return task2score + + +# EvalPerf result file name format: {MODEL}_temp_{TEMP}_ep_{TYPE}_results.json +def parse_model_and_type(result_json: str): + assert "_temp_0.2_" in result_json, f"Invalid result file name: {result_json}" + model_id, rest = result_json.split("_temp_0.2_") + type = rest.split("_")[1] + model_id = normalize_to_base_name(model_id) + # extra 6.7 in "DSCoder-6.7B" and "7B" in "DSCoder-7B" + nb = re.search(r"(\d+(?:\.\d+)?)B", model_id) + if nb: + print(nb) + nb = nb.group(1) + model_id = model_id.replace(f"{nb}B", "").strip("-") + else: + nb = None + return model_id, nb, type + + +def load_groups_from_directory(result_dir: str, norm: bool = False): + groups = defaultdict(dict) # model -> {type: dps(norm)} + + for result_json in os.listdir(result_dir): + if not result_json.endswith(".json"): + continue + model_id, nb, type = parse_model_and_type(result_json) + print(f"{type = :<16}\t{model_id = }") + + if nb: + model_id = f"{model_id} ({nb}B)" + groups[model_id][type] = load_dps_scores( + os.path.join(result_dir, result_json), norm + ) + + return groups + + +TYPES = ["perf-CoT", "perf-instruct", "instruct", "base"] + + +def compute_score_matrix(group: dict): + score_matrix = [] + for i, type_x in enumerate(TYPES): + score_list = [] + for j, type_y in enumerate(TYPES): + if j <= i or type_y not in group or type_x not in group: + score_list.append((0, 0)) + continue + task2dps_x = group[type_x] + task2dps_y = group[type_y] + common_tasks = set(task2dps_x.keys()) & set(task2dps_y.keys()) + if not common_tasks: + score_list.append(None) + print(f"No common tasks between {type_x} and {type_y}") + continue + dps_x = mean([task2dps_x[task_id] for task_id in common_tasks]) + dps_y = mean([task2dps_y[task_id] for task_id in common_tasks]) + print(type_x, dps_x, " --- ", type_y, dps_y) + score_list.append((dps_x, dps_y)) + score_matrix.append(score_list) + return score_matrix + + +def main(result_dir: str, norm: bool = False, latex: bool = False): + if latex: + plt.rc("text", usetex=True) + plt.rc("text.latex", preamble=r"\usepackage{xfrac}") + assert os.path.isdir(result_dir), f"{result_dir} is not a directory." + + groups = load_groups_from_directory(result_dir, norm=norm) + groups = {k: v for k, v in groups.items() if len(v) >= 2} + # resort by key + groups = dict(sorted(groups.items())) + + n_grp = len(groups) + max_grp_per_row = 5 + n_row = (n_grp + max_grp_per_row - 1) // max_grp_per_row + + fig, axs = plt.subplots( + n_row, + max_grp_per_row, + figsize=(2 * max_grp_per_row, 2 * n_row), + constrained_layout=True, + ) + + for i, (model, group) in enumerate(groups.items()): + score_matrix = compute_score_matrix(group) + score_matrix_diff = [ + [(score[0] - score[1]) for score in score_list] + for score_list in score_matrix + ] + ax: plt.Axes = axs[i // max_grp_per_row, i % max_grp_per_row] + cmap = LinearSegmentedColormap.from_list("rg", ["r", "w", "lime"], N=256) + # ax.matshow(score_matrix_diff, cmap=cmap) + cax = ax.matshow(score_matrix_diff, cmap=cmap) + cax.set_clim(-15, 15) + ax.set_xticks(range(len(TYPES))) + ax.set_yticks(range(len(TYPES))) + if i // max_grp_per_row == 0: + ax.set_xticklabels(TYPES, rotation=30, ha="left", rotation_mode="anchor") + else: + ax.set_xticklabels([]) + ax.tick_params(top=False) + if i % max_grp_per_row == 0: + ax.set_yticklabels(TYPES) + else: + ax.set_yticklabels([]) + ax.tick_params(left=False) + ax.tick_params(bottom=False) + for i in range(len(TYPES)): + for j in range(len(TYPES)): + if j <= i: + continue + x, y = score_matrix[i][j] # i~x, j~y + if x == 0 and y == 0: + continue + gapx = 0.15 + gapy = 0.25 + ax.text( + j - gapx, + i + gapy, + f"{x:.1f}", + va="center", + ha="center", + color="green" if x > y else "red", + ) + ax.text( + j + gapx, + i - gapy, + f"{y:.1f}", + va="center", + ha="center", + color="green" if x < y else "red", + ) + xlabel = model + if latex: + xlabel = r"\textbf{" + xlabel + "}" + ax.set_xlabel(xlabel) + + imname = "perf_prompt_impact" + if norm: + imname += "_norm" + plt.savefig(f"{imname}.png", dpi=100, bbox_inches="tight") + plt.savefig(f"{imname}.pdf", dpi=100, bbox_inches="tight") + + +if __name__ == "__main__": + from fire import Fire + + Fire(main) diff --git a/evalplus/tools/evalperf/pairwise_heatmap.py b/evalplus/tools/evalperf/pairwise_heatmap.py new file mode 100644 index 0000000000000000000000000000000000000000..0c00da565adde0ed896ba8266fda392c89d971f9 --- /dev/null +++ b/evalplus/tools/evalperf/pairwise_heatmap.py @@ -0,0 +1,117 @@ +import json +import os +from statistics import mean + +import matplotlib.pyplot as plt +from matplotlib.colors import LinearSegmentedColormap + +# EvalPerf result file name format: {MODEL}_temp_{TEMP}_ep-{TYPE}_results.json + + +# Draw a heatmap of pairwise comparison of models +# each pair of models is compared using the same set of passing tasks +def main(result_dir: str): + assert os.path.isdir(result_dir), f"{result_dir} is not a directory." + + model2task2dps = {} + model2task2dps_norm = {} + + model_list = [] + model_e2e_dps = [] + for result_json in os.listdir(result_dir): + if not result_json.endswith(".json"): + continue + result_json_path = os.path.join(result_dir, result_json) + assert "_temp_0.2_" in result_json, f"Invalid result file name: {result_json}" + model_id = result_json.split("_temp_0.2_")[0] + if model_id.endswith("-instruct") and not model_id.endswith(" perf-instruct"): + model_id = model_id[: -len("-instruct")] + model_id += " :: default" + if "::" not in model_id: + model_id += " :: default" + print(f"Processing {model_id}") + with open(result_json_path) as f: + results = json.load(f) + task2dps = {} + task2dps_norm = {} + + for task_id, result in results.items(): + if "scores" in result and result["scores"] is not None: + task2dps[task_id] = result["scores"]["max"] + task2dps_norm[task_id] = result["norm_scores"]["max"] + if "dps" in result and result["dps"] is not None: + task2dps[task_id] = max(result["dps"]) + task2dps_norm[task_id] = max(result["dps_norm"]) + + model2task2dps[model_id] = task2dps + model2task2dps_norm[model_id] = task2dps_norm + model_list.append(model_id) + model_e2e_dps.append(mean(task2dps.values())) + + # sort model list by dps score + model_list, model_e2e_dps = zip( + *sorted(zip(model_list, model_e2e_dps), key=lambda x: x[1], reverse=True) + ) + + # model_list = model_list[:32] + + fig, ax = plt.subplots(figsize=(30, 25)) + + score_matrix = [] + for i, model_x in enumerate(model_list): + score_list = [] + task2dps_x = model2task2dps[model_x] + for j, model_y in enumerate(model_list): + if j <= i: + score_list.append((0, 0)) + continue + task2dps_y = model2task2dps[model_y] + common_tasks = set(task2dps_x.keys()) & set(task2dps_y.keys()) + if len(common_tasks) == 0: + score_list.append(None) + print( + f"[Warning] no common passing set between {model_x} and {model_y}" + ) + continue + dps_x = mean([task2dps_x[task_id] for task_id in common_tasks]) + dps_y = mean([task2dps_y[task_id] for task_id in common_tasks]) + score_list.append((dps_x, dps_y)) + text = f"{round(dps_x)}" + if dps_x - dps_y >= 1: + text += f"\n+{dps_x - dps_y:.1f}" + elif dps_x - dps_y <= -1: + text += f"\n-{dps_y - dps_x:.1f}" + ax.text( + j, + i, + text, + va="center", + ha="center", + color="green" if dps_x > dps_y else "red", + ) + score_matrix.append(score_list) + + # print(score_matrix) + + score_matrix_diff = [ + [None if score is None else score[0] - score[1] for score in score_list] + for score_list in score_matrix + ] + + cmap = LinearSegmentedColormap.from_list("rg", ["r", "w", "lime"], N=256) + cax = ax.matshow(score_matrix_diff, cmap=cmap) + cax.set_clim(-15, 15) + fig.colorbar(cax) + ax.set_xticks(range(len(model_list))) + ax.set_yticks(range(len(model_list))) + ax.set_xticklabels(model_list, rotation=45, ha="left", rotation_mode="anchor") + ax.set_yticklabels(model_list) + # save fig + plt.savefig("pairwise_heatmap.png", dpi=120, bbox_inches="tight") + plt.savefig("pairwise_heatmap.pdf", bbox_inches="tight") + + +if __name__ == "__main__": + from fire import Fire + + Fire(main) diff --git a/evalplus/tools/evalperf/viz_by_params.py b/evalplus/tools/evalperf/viz_by_params.py new file mode 100644 index 0000000000000000000000000000000000000000..f05c59496ffc76972d4a6801c8111c450459158f --- /dev/null +++ b/evalplus/tools/evalperf/viz_by_params.py @@ -0,0 +1,203 @@ +# for the same model, we first study which prompting strategy is better + +import json +import os +import re +from collections import defaultdict +from statistics import mean + +import matplotlib.pyplot as plt +from matplotlib.colors import LinearSegmentedColormap +from rich import print + + +def normalize_to_base_name(name: str) -> str: + name = ( + name.replace("Chat", "") + .replace("instruct", "") + .replace("code-llama", "CodeLlama") + .replace("deepseek-coder", "DeepSeek-Coder") + .replace("gpt-4-turbo", "GPT-4-Turbo") + .replace("starcoder", "StarCoder") + .replace("--v0.1", "") + .replace("-base", "") + .replace("-preview", "") + .strip("-") + ) + # ${NUM}b -> ${NUM}B + return re.sub(r"(\d+)b", r"\1B", name) + + +def load_dps_scores(path: str, norm: bool = False): + with open(path) as f: + results = json.load(f) + + task2score = {} + for task_id, result in results.items(): + # new rpr + new_key = "norm_scores" if norm else "scores" + if result.get(new_key) is not None: + task2score[task_id] = result[new_key]["avg"] + # legacy rpr + legacy_key = "dps_norm" if norm else "dps" + if result.get(legacy_key) is not None: + task2score[task_id] = mean(result[legacy_key]) + + return task2score + + +# EvalPerf result file name format: {MODEL}_temp_{TEMP}_ep_{TYPE}_results.json +def parse_model_and_type(result_json: str): + assert "_temp_0.2_" in result_json, f"Invalid result file name: {result_json}" + model_id, rest = result_json.split("_temp_0.2_") + type = rest.split("_")[1] + model_id = normalize_to_base_name(model_id) + # extra 6.7 in "DSCoder-6.7B" and "7B" in "DSCoder-7B" + nb = re.search(r"(\d+(?:\.\d+)?)B", model_id) + if nb: + print(nb) + nb = nb.group(1) + model_id = model_id.replace(f"{nb}B", "").strip("-") + else: + nb = None + return model_id, nb, type + + +def load_groups_from_directory(result_dir: str, norm: bool = False): + groups = defaultdict(dict) # model -> {type: dps(norm)} + + for result_json in os.listdir(result_dir): + if not result_json.endswith(".json"): + continue + model_id, nb, type = parse_model_and_type(result_json) + if not (type == "instruct" or (type == "base" and model_id == "StarCoder2")): + continue + + if not nb: + continue + + print(f"{type = :<16}\t{model_id = } {nb = }") + model_id = f"{model_id} ({type})" + groups[model_id][nb] = load_dps_scores( + os.path.join(result_dir, result_json), norm + ) + + # sort the items by nb + for model_id in groups: + groups[model_id] = dict( + sorted(groups[model_id].items(), key=lambda x: -float(x[0])) + ) + + # rename the keys to {nb}B + groups = { + model_id: {f"{nb}B": vv for nb, vv in v.items()} + for model_id, v in groups.items() + } + + return groups + + +def compute_score_matrix(group: dict): + grp_keys = list(group.keys()) + score_matrix = [] + for i, type_x in enumerate(grp_keys): + score_list = [] + for j, type_y in enumerate(grp_keys): + if j <= i or type_y not in group or type_x not in group: + score_list.append((0, 0)) + continue + task2dps_x = group[type_x] + task2dps_y = group[type_y] + common_tasks = set(task2dps_x.keys()) & set(task2dps_y.keys()) + if not common_tasks: + score_list.append(None) + print(f"No common tasks between {type_x} and {type_y}") + continue + dps_x = mean([task2dps_x[task_id] for task_id in common_tasks]) + dps_y = mean([task2dps_y[task_id] for task_id in common_tasks]) + print(type_x, dps_x, " --- ", type_y, dps_y) + score_list.append((dps_x, dps_y)) + score_matrix.append(score_list) + return score_matrix + + +def main(result_dir: str, norm: bool = False, latex: bool = False): + if latex: + plt.rc("text", usetex=True) + plt.rc("text.latex", preamble=r"\usepackage{xfrac}") + assert os.path.isdir(result_dir), f"{result_dir} is not a directory." + + groups = load_groups_from_directory(result_dir, norm=norm) + groups = {k: v for k, v in groups.items() if len(v) >= 2} + # resort by key + groups = dict(sorted(groups.items())) + + n_grp = len(groups) + max_grp_per_row = 3 + n_row = (n_grp + max_grp_per_row - 1) // max_grp_per_row + + fig, axs = plt.subplots( + n_row, + max_grp_per_row, + figsize=(2 * max_grp_per_row, 2 * n_row), + constrained_layout=True, + ) + + for k, (model, group) in enumerate(groups.items()): + grp_keys = list(group.keys()) + score_matrix = compute_score_matrix(group) + score_matrix_diff = [ + [(score[0] - score[1]) for score in score_list] + for score_list in score_matrix + ] + ax: plt.Axes = axs[k] + cmap = LinearSegmentedColormap.from_list("rg", ["r", "w", "lime"], N=256) + # ax.matshow(score_matrix_diff, cmap=cmap) + cax = ax.matshow(score_matrix_diff, cmap=cmap) + cax.set_clim(-25, 25) + ax.set_xticks(range(len(grp_keys))) + ax.set_yticks(range(len(grp_keys))) + ax.set_xticklabels(grp_keys, rotation=30, ha="left", rotation_mode="anchor") + ax.set_yticklabels(grp_keys) + ax.tick_params(bottom=False) + for i in range(len(grp_keys)): + for j in range(len(grp_keys)): + if j <= i: + continue + x, y = score_matrix[i][j] # i~x, j~y + if x == 0 and y == 0: + continue + gapx = 0.15 + gapy = 0.25 + ax.text( + j - gapx, + i + gapy, + f"{x:.1f}", + va="center", + ha="center", + color="green" if x > y else "red", + ) + ax.text( + j + gapx, + i - gapy, + f"{y:.1f}", + va="center", + ha="center", + color="green" if x < y else "red", + ) + xlabel = model + if latex: + xlabel = r"\textbf{" + xlabel + "}" + ax.set_xlabel(xlabel) + + imname = "perf_param_impact" + if norm: + imname += "_norm" + plt.savefig(f"{imname}.png", dpi=100, bbox_inches="tight") + plt.savefig(f"{imname}.pdf", dpi=100, bbox_inches="tight") + + +if __name__ == "__main__": + from fire import Fire + + Fire(main) diff --git a/evalplus/tools/filter_inputs.py b/evalplus/tools/filter_inputs.py new file mode 100644 index 0000000000000000000000000000000000000000..4444575cdc6a18d3bdd76eca4b5e892a11cc8d56 --- /dev/null +++ b/evalplus/tools/filter_inputs.py @@ -0,0 +1,54 @@ +import json +import os + +from evalplus.data import get_human_eval_plus +from evalplus.gen.util import trusted_exec + + +def execute(code, input_list) -> bool: + try: + trusted_exec(code, [input_list], entry_point) + except Exception as e: + assert str(e) == "invalid inputs" + return False + return True + + +def write(new_input_dict): + with open(new_input_path, "a") as f: + f.write(json.dumps(new_input_dict) + "\n") + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--input", type=str, default="HumanEvalPlusInputs.jsonl") + args = parser.parse_args() + + new_input_path = args.input.replace(".jsonl", "_sanitized.jsonl") + assert not os.path.exists(new_input_path) + + task_inputs = {} + for line in open(args.input, "r").read().split("\n"): + if not line: + continue + plus = json.loads(line) + task_inputs[plus["task_id"]] = plus["inputs"] + + for p in get_human_eval_plus().values(): + entry_point = p["entry_point"] + code = p["prompt"] + p["canonical_solution"] + task_id = p["task_id"] + new_inputs = task_inputs[task_id] + count = 0 + new_input_dict = {"task_id": task_id, "inputs": []} + for input_list in new_inputs: + res = execute(code, input_list) + if res: + new_input_dict["inputs"].append(input_list) + else: + count += 1 + write(new_input_dict) + if count != 0: + print(f"Task {task_id}: {count}/{len(new_inputs)} tests filtered") diff --git a/evalplus/tools/humaneval/check_ground_truth.py b/evalplus/tools/humaneval/check_ground_truth.py new file mode 100644 index 0000000000000000000000000000000000000000..8fd2b6782ec3bc73aa8ba02b49388d4d26e90d74 --- /dev/null +++ b/evalplus/tools/humaneval/check_ground_truth.py @@ -0,0 +1,35 @@ +"""This script checks: +1. Independence of "contract" and "canonical_solution" in groundtruth. (i.e., it should work without the "contract" part) +""" + +import multiprocessing as mp +import pathlib + +from rich.progress import track + +from evalplus.data import get_human_eval_plus + +if __name__ == "__main__": + human_eval_plus = get_human_eval_plus().values() + + for i, task in track(enumerate(human_eval_plus)): + fname = ( + pathlib.Path(__file__).parent.parent + / "groundtruth" + / "humaneval" + / (str(i).zfill(3) + "_" + task["entry_point"] + ".py") + ) + print(fname) + code = open(fname, "r").read() + if task["contract"]: + assert task["contract"] in code + code = code.replace(task["contract"], "\n") + + # run the code in a subprocess + p = mp.Process(target=exec, args=(code, globals())) + p.start() + p.join(timeout=2) + assert not p.is_alive(), f"Timeout for {fname}!" + p.terminate() + p.join() + assert p.exitcode == 0, f"Error for {fname}! {code}" diff --git a/evalplus/tools/humaneval/filter_extreme.py b/evalplus/tools/humaneval/filter_extreme.py new file mode 100644 index 0000000000000000000000000000000000000000..d41beca31b95e76fcab26569091afd9c7fc95baa --- /dev/null +++ b/evalplus/tools/humaneval/filter_extreme.py @@ -0,0 +1,62 @@ +if __name__ == "__main__": + import json + + from evalplus.data import get_human_eval_plus + from evalplus.data.humaneval import HUMANEVAL_PLUS_VERSION + + data = get_human_eval_plus() + + # Process data + for task_id, task in data.items(): + # ============================================================= + filtered_inputs = [] + if task["task_id"] in ["HumanEval/25", "HumanEval/77"]: + # factorize(n), is_cube(n) + # filter tests in data[task_id]["plus_inputs"] + neg_threshold = -(2 ** (27 - 1)) + pos_threshold = 2 ** (27 - 1) - 1 + for (inp,) in task["plus_input"]: + if neg_threshold <= inp <= pos_threshold: + filtered_inputs.append((inp,)) + data[task_id]["plus_input"] = filtered_inputs + elif task["task_id"] == "HumanEval/39": + # prime_fib(n) + threshold = 11 + for (inp,) in task["plus_input"]: + if inp <= threshold: + filtered_inputs.append((inp,)) + data[task_id]["plus_input"] = filtered_inputs + elif task["task_id"] == "HumanEval/55": + # fib(n) + threshold = 40 + for (inp,) in task["plus_input"]: + if inp <= threshold: + filtered_inputs.append((inp,)) + data[task_id]["plus_input"] = filtered_inputs + elif task["task_id"] == "HumanEval/63": + # fibfib(n) + threshold = 30 + for (inp,) in task["plus_input"]: + if inp <= threshold: + filtered_inputs.append((inp,)) + data[task_id]["plus_input"] = filtered_inputs + elif task["task_id"] == "HumanEval/96": + # is_prime(n) + threshold = 1e4 + for (inp,) in task["plus_input"]: + if inp <= threshold: + filtered_inputs.append((inp,)) + data[task_id]["plus_input"] = filtered_inputs + elif task["task_id"] == "HumanEval/138": + # is_equal_to_sum_even(n) + threshold = 100 + for (inp,) in task["plus_input"]: + if abs(inp) <= threshold: + filtered_inputs.append((inp,)) + data[task_id]["plus_input"] = filtered_inputs + # ============================================================= + + # Save outputs + with open(f"HumanEvalPlus-NoExtreme-{HUMANEVAL_PLUS_VERSION}.jsonl", "w") as f: + for task in data.values(): + f.write(json.dumps(task) + "\n") diff --git a/evalplus/tools/humaneval/fix_utils.py b/evalplus/tools/humaneval/fix_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..928dd676c78e16e0575de08c1443463f0b89d869 --- /dev/null +++ b/evalplus/tools/humaneval/fix_utils.py @@ -0,0 +1,54 @@ +import json +from typing import Callable, List + + +def check_id(data: dict, task_id: str): + assert data[task_id]["task_id"] == f"HumanEval/{task_id}" + + +def evolve(src_file: str, tgt_file: str, fix: Callable): + with open(src_file) as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open(tgt_file, "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + +def replay_contract(data: dict, tid: int) -> dict: + code = data[tid]["prompt"] + data[tid]["contract"] + exec(code) + func = locals()[data[tid]["entry_point"]] + + new_inputs = [] + for inputs in data[tid]["plus_input"]: + try: + func(*inputs) + new_inputs.append(inputs) + except Exception as e: + assert str(e) == "invalid inputs" + + before, after = len(data[tid]["plus_input"]), len(new_inputs) + data[tid]["plus_input"] = new_inputs + print(f"HumanEval/{tid}: {before} -> {after}") + + return before - after + + +def debug_output(version: str, tasks: List[int]): + with open(f"HumanEvalPlus-{version}.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = {x["task_id"]: x for x in data} + for tid in tasks: + title = f"HumanEval/{tid}:\n" + code = ( + data[f"HumanEval/{tid}"]["prompt"] + + data[f"HumanEval/{tid}"]["contract"] + + data[f"HumanEval/{tid}"]["canonical_solution"] + ) + print(title) + print(code) + exec(code) + print("====================================") diff --git a/evalplus/tools/humaneval/fix_v011.py b/evalplus/tools/humaneval/fix_v011.py new file mode 100644 index 0000000000000000000000000000000000000000..9a74e706fbe61f9ee3fa419ead43b24d66f77774 --- /dev/null +++ b/evalplus/tools/humaneval/fix_v011.py @@ -0,0 +1,56 @@ +def fix(data): + # fix 140 https://github.com/evalplus/evalplus/issues/3 + assert data[140]["task_id"] == "HumanEval/140" + data[140]["canonical_solution"] = data[140]["canonical_solution"].replace( + "range(len(text)-1, 2, -1)", "range(len(text), 2, -1)" + ) + + # fix 75 https://github.com/evalplus/evalplus/issues/4 + assert data[75]["task_id"] == "HumanEval/75" + org_contract = '\n assert type(a) == int, "invalid inputs" # $_CONTRACT_$\n' + assert org_contract in data[75]["contract"] + data[75]["contract"] = ( + org_contract + ' assert a < 100, "invalid inputs" # $_CONTRACT_$\n' + ) + data[75]["base_input"] = [x for x in data[75]["base_input"] if x[0] < 100] + data[75]["plus_input"] = [x for x in data[75]["plus_input"] if x[0] < 100] + + # fix 129 https://github.com/evalplus/evalplus/issues/4 + assert data[129]["task_id"] == "HumanEval/129" + data[129][ + "contract" + ] = R""" + assert type(k) == int, "invalid inputs" # $_CONTRACT_$ + assert k > 0, "invalid inputs" # $_CONTRACT_$ + assert len(grid) >= 2, "invalid inputs" # $_CONTRACT_$ + assert all(len(l) == len(grid) for l in grid), "invalid inputs" # $_CONTRACT_$ + assert {x for l in grid for x in l} == set(range(1, len(grid) ** 2 + 1)), "invalid inputs" # $_CONTRACT_$ +""" + + def check_unique(grid): + return {x for l in grid for x in l} == set(range(1, len(grid) ** 2 + 1)) + + data[129]["base_input"] = [x for x in data[129]["base_input"] if check_unique(x[0])] + data[129]["plus_input"] = [x for x in data[129]["plus_input"] if check_unique(x[0])] + + return data + + +if __name__ == "__main__": + import json + + with open("HumanEvalPlus-v0.1.1.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open("HumanEvalPlus-v0.1.2.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + with open("HumanEvalPlus-Mini-v0.1.1.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open("HumanEvalPlus-Mini-v0.1.2.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) diff --git a/evalplus/tools/humaneval/fix_v012.py b/evalplus/tools/humaneval/fix_v012.py new file mode 100644 index 0000000000000000000000000000000000000000..5ed84ce7ae84b29fbe0dfb320619a3a55924eab8 --- /dev/null +++ b/evalplus/tools/humaneval/fix_v012.py @@ -0,0 +1,85 @@ +def check_id(data, task_id): + assert data[task_id]["task_id"] == f"HumanEval/{task_id}" + + +def fix(data): + # fix 53 https://github.com/evalplus/evalplus/issues/8 + check_id(data, 53) + data[53]["contract"] = ( + '\n assert isinstance(x, int), "invalid inputs" # $_CONTRACT_$' + + '\n assert isinstance(y, int), "invalid inputs" # $_CONTRACT_$\n' + ) + data[53]["plus_input"] = [ + x + for x in data[53]["plus_input"] + if isinstance(x[0], int) and isinstance(x[1], int) + ] + + # fix 0 + check_id(data, 0) + data[0]["contract"] = ( + '\n assert isinstance(threshold, float) and threshold > 0, "invalid inputs" # $_CONTRACT_$' + + '\n assert isinstance(numbers, list), "invalid inputs" # $_CONTRACT_$' + + '\n assert all([isinstance(v, (int, float)) for v in numbers]), "invalid inputs" # $_CONTRACT_$\n' + ) + data[0]["plus_input"] = [ + x + for x in data[0]["plus_input"] + if isinstance(x[1], float) and x[1] > 0 and isinstance(x[0], list) + ] + + # fix 3 + check_id(data, 3) + data[3]["contract"] = ( + '\n assert type(operations) == list, "invalid inputs" # $_CONTRACT_$' + + '\n assert all([isinstance(v, int) for v in operations]), "invalid inputs" # $_CONTRACT_$\n' + ) + data[3]["plus_input"] = [x for x in data[3]["plus_input"] if isinstance(x[0], list)] + + # fix 9 + check_id(data, 9) + data[9]["contract"] = ( + '\n assert isinstance(numbers, list), "invalid inputs" # $_CONTRACT_$' + + '\n assert all([isinstance(v, int) for v in numbers]), "invalid inputs" # $_CONTRACT_$\n' + ) + data[9]["plus_input"] = [x for x in data[9]["plus_input"] if isinstance(x[0], list)] + + # fix 148 + check_id(data, 148) + data[148][ + "contract" + ] = '\n assert isinstance(planet1, str) and isinstance(planet2, str), "invalid inputs" # $_CONTRACT_$\n' + data[148]["plus_input"] = [ + x + for x in data[148]["plus_input"] + if isinstance(x[0], str) and isinstance(x[1], str) + ] + + # minor format fix 75 + check_id(data, 75) + data[75]["contract"] = ( + '\n assert type(a) == int, "invalid inputs" # $_CONTRACT_$' + + '\n assert a < 100, "invalid inputs" # $_CONTRACT_$\n' + ) + + return data + + +if __name__ == "__main__": + import json + + with open("HumanEvalPlus-v0.1.2.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open("HumanEvalPlus-v0.1.3.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + with open("HumanEvalPlus-Mini-v0.1.2.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open("HumanEvalPlus-Mini-v0.1.3.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) diff --git a/evalplus/tools/humaneval/fix_v013.py b/evalplus/tools/humaneval/fix_v013.py new file mode 100644 index 0000000000000000000000000000000000000000..9b525c7e0eaf0b67d7542445e27d589563578687 --- /dev/null +++ b/evalplus/tools/humaneval/fix_v013.py @@ -0,0 +1,37 @@ +def check_id(data, task_id): + assert data[task_id]["task_id"] == f"HumanEval/{task_id}" + + +def fix(data): + check_id(data, 116) + data[116]["contract"] = ( + '\n assert isinstance(arr, list), "invalid inputs" # $_CONTRACT_$' + + '\n assert all(isinstance(x, int) and x >= 0 for x in arr), "invalid inputs" # $_CONTRACT_$\n' + ) + data[116]["plus_input"] = [ + l + for l in data[116]["plus_input"] + if isinstance(l[0], list) and all(isinstance(x, int) and x >= 0 for x in l[0]) + ] + + return data + + +if __name__ == "__main__": + import json + + with open("HumanEvalPlus-v0.1.3.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open("HumanEvalPlus-v0.1.4.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + with open("HumanEvalPlus-Mini-v0.1.3.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open("HumanEvalPlus-Mini-v0.1.4.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) diff --git a/evalplus/tools/humaneval/fix_v014.py b/evalplus/tools/humaneval/fix_v014.py new file mode 100644 index 0000000000000000000000000000000000000000..8df5d5abb297c2c71f76ebc6506139f886d124d2 --- /dev/null +++ b/evalplus/tools/humaneval/fix_v014.py @@ -0,0 +1,78 @@ +import math + + +def check_id(data, task_id): + assert data[task_id]["task_id"] == f"HumanEval/{task_id}" + + +def poly(xs, x): + return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)]) + + +def check_valid(xs): + if not (isinstance(xs, list) and len(xs) > 0 and len(xs) % 2 == 0): + return False + if not all(type(x) == int for x in xs): + return False + dxs = [xs[i] * i for i in range(1, len(xs))] + + def func(x): + return poly(xs, x) + + def derivative(x): + return poly(dxs, x) + + x, tol = 0, 1e-5 + for _ in range(1000): + fx = func(x) + dfx = derivative(x) + if abs(fx) < tol: + break + x = x - fx / dfx + if abs(poly(xs, x)) >= tol: + return False + return True + + +def fix(data): + check_id(data, 32) + data[32]["contract"] = ( + '\n assert isinstance(xs, list) and len(xs) > 0 and len(xs) % 2 == 0, "invalid inputs" # $_CONTRACT_$' + + '\n assert all(type(x) == int for x in xs), "invalid inputs" # $_CONTRACT_$' + + "\n dxs = [xs[i] * i for i in range(1, len(xs))] # $_CONTRACT_$" + + "\n def func(x): # $_CONTRACT_$" + + "\n return poly(xs, x) # $_CONTRACT_$" + + "\n def derivative(x): # $_CONTRACT_$" + + "\n return poly(dxs, x) # $_CONTRACT_$" + + "\n x, tol = 0, 1e-5 # $_CONTRACT_$" + + "\n for _ in range(1000): # $_CONTRACT_$" + + "\n fx = func(x) # $_CONTRACT_$" + + "\n dfx = derivative(x) # $_CONTRACT_$" + + "\n if abs(fx) < tol: break # $_CONTRACT_$" + + "\n x = x - fx / dfx # $_CONTRACT_$" + + '\n assert abs(poly(xs, x)) < tol, "invalid inputs" # $_CONTRACT_$\n' + ) + data[32]["plus_input"] = [l for l in data[32]["plus_input"] if check_valid(l[0])] + + return data + + +if __name__ == "__main__": + import json + + with open("HumanEvalPlus-v0.1.4.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + + with open("HumanEvalPlus-v0.1.5.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + with open("HumanEvalPlus-Mini-v0.1.4.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open("HumanEvalPlus-Mini-v0.1.5.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) diff --git a/evalplus/tools/humaneval/fix_v015.py b/evalplus/tools/humaneval/fix_v015.py new file mode 100644 index 0000000000000000000000000000000000000000..ef2493f79135096c2019e395097712dba63c0772 --- /dev/null +++ b/evalplus/tools/humaneval/fix_v015.py @@ -0,0 +1,59 @@ +import math + + +def check_id(data, task_id): + assert data[task_id]["task_id"] == f"HumanEval/{task_id}" + + +def check_valid(s: str): + cnt = 0 + for ch in s: + if ch == "(": + cnt += 1 + elif ch == ")": + cnt -= 1 + else: + return False + if cnt < 0: + return False + return cnt == 0 + + +def fix(data): + check_id(data, 126) + data[126]["contract"] = ( + '\n assert type(lst) == list, "invalid inputs" # $_CONTRACT_$' + + '\n assert all(type(x) == int and x >= 0 for x in lst), "invalid inputs" # $_CONTRACT_$\n' + ) + data[126]["plus_input"] = [ + l + for l in data[126]["plus_input"] + if type(l[0]) == list and all(type(x) == int and x >= 0 for x in l[0]) + ] + + check_id(data, 6) + data[6]["contract"] += ' assert cnt == 0, "invalid inputs"\n' + data[6]["plus_input"] = [l for l in data[6]["plus_input"] if check_valid(l[0])] + + return data + + +if __name__ == "__main__": + import json + + with open("HumanEvalPlus-v0.1.5.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + + with open("HumanEvalPlus-v0.1.6.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + with open("HumanEvalPlus-Mini-v0.1.5.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open("HumanEvalPlus-Mini-v0.1.6.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) diff --git a/evalplus/tools/humaneval/fix_v016.py b/evalplus/tools/humaneval/fix_v016.py new file mode 100644 index 0000000000000000000000000000000000000000..d29d6d2e2fef8798a34aca14d372825d9aad5c5f --- /dev/null +++ b/evalplus/tools/humaneval/fix_v016.py @@ -0,0 +1,46 @@ +import math + + +def check_id(data, task_id): + assert data[task_id]["task_id"] == f"HumanEval/{task_id}" + + +def check_valid(op, num): + try: + exp = "" + for i in range(len(op)): + exp += str(num[i]) + str(op[i]) + exp += str(num[-1]) + exp = str(eval(exp)) + except: + return False + return True + + +def fix(data): + check_id(data, 160) + data[160]["plus_input"] = [ + l for l in data[160]["plus_input"] if check_valid(l[0], l[1]) + ] + return data + + +if __name__ == "__main__": + import json + + with open("HumanEvalPlus-v0.1.6.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + + with open("HumanEvalPlus-v0.1.7.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + with open("HumanEvalPlus-Mini-v0.1.6.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open("HumanEvalPlus-Mini-v0.1.7.jsonl", "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) diff --git a/evalplus/tools/humaneval/fix_v017.py b/evalplus/tools/humaneval/fix_v017.py new file mode 100644 index 0000000000000000000000000000000000000000..c0df5ebc442223bc452aa35209476014011f80f8 --- /dev/null +++ b/evalplus/tools/humaneval/fix_v017.py @@ -0,0 +1,63 @@ +import math + + +def check_id(data, task_id): + assert data[task_id]["task_id"] == f"HumanEval/{task_id}" + + +def fix(data): + # https://github.com/evalplus/evalplus/issues/29 + check_id(data, 35) + data[35]["contract"] += ' assert len(l) != 0, "invalid inputs" # $_CONTRACT_$\n' + + # https://github.com/evalplus/evalplus/issues/28 + check_id(data, 2) + data[2][ + "contract" + ] += ' assert number != float("+inf"), "invalid inputs" # $_CONTRACT_$\n' + + check_id(data, 99) + data[99][ + "contract" + ] += r""" import math # $_CONTRACT_$ + assert not (math.isinf(value) or math.isnan(value)), "invalid inputs" # $_CONTRACT_$ +""" + # https://github.com/evalplus/evalplus/issues/27 + check_id(data, 1) + data[1]["contract"] += ' assert cnt == 0, "invalid inputs" # $_CONTRACT_$\n' + + return data + + +if __name__ == "__main__": + import json + + CONTRACT_INSPECT = [1, 2, 35, 99] + SOURCE_VERSION = "v0.1.7" + TARGET_VERSION = "v0.1.8" + + def evolve(src_file, tgt_file): + with open(src_file) as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open(tgt_file, "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + evolve( + f"HumanEvalPlus-{SOURCE_VERSION}.jsonl", f"HumanEvalPlus-{TARGET_VERSION}.jsonl" + ) + evolve( + f"HumanEvalPlus-Mini-{SOURCE_VERSION}.jsonl", + f"HumanEvalPlus-Mini-{TARGET_VERSION}.jsonl", + ) + + # Debug the output of jsonl + with open(f"HumanEvalPlus-{TARGET_VERSION}.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = {x["task_id"]: x for x in data} + for tid in CONTRACT_INSPECT: + print(data[f"HumanEval/{tid}"]["prompt"] + data[f"HumanEval/{tid}"]["contract"]) + print("====================================") diff --git a/evalplus/tools/humaneval/fix_v018.py b/evalplus/tools/humaneval/fix_v018.py new file mode 100644 index 0000000000000000000000000000000000000000..5055a154baa2e77b019db0e143d1ea61da2bcabb --- /dev/null +++ b/evalplus/tools/humaneval/fix_v018.py @@ -0,0 +1,87 @@ +import math + + +def check_id(data, task_id): + assert data[task_id]["task_id"] == f"HumanEval/{task_id}" + + +def fix(data): + # https://github.com/evalplus/evalplus/issues/44 + check_id(data, 115) + data[115]["prompt"] = "import math\n" + data[115]["prompt"].replace( + " import math\n", "" + ) + check_id(data, 114) + data[114]["prompt"] = data[114]["prompt"].replace("import math\n", "") + + # https://github.com/evalplus/evalplus/issues/30#issue-1944054257 + check_id(data, 35) + data[35][ + "contract" + ] += ' assert all(type(x) in [int, float] for x in l), "invalid inputs" # $_CONTRACT_$\n' + data[35]["canonical_solution"] = data[35]["canonical_solution"].replace( + ' assert all(type(x) in [int, float] for x in l), "invalid inputs"\n', "" + ) + + # https://github.com/evalplus/evalplus/issues/30#issuecomment-1763502126 + check_id(data, 28) + data[28][ + "contract" + ] += ' assert isinstance(strings, list), "invalid inputs" # $_CONTRACT_$\n' + + # https://github.com/evalplus/evalplus/issues/34 + check_id(data, 32) + terms = data[32]["contract"].splitlines() + terms.insert(2, ' assert xs[-1] != 0, "invalid inputs" # $_CONTRACT_$') + data[32]["contract"] = "\n".join(terms) + + # https://github.com/evalplus/evalplus/issues/35 + check_id(data, 160) + terms = data[160]["contract"].splitlines() + terms.insert( + len(terms), + ' assert not any([operand[i-1] == 0 and operator[i] == "//" for i in range(1, len(operand))]), "invalid inputs" # $_CONTRACT_$', + ) + data[160]["contract"] = "\n".join(terms) + + return data + + +if __name__ == "__main__": + import json + + TASK_INSPECT = [28, 32, 35, 114, 115, 160] + SOURCE_VERSION = "v0.1.8" + TARGET_VERSION = "v0.1.9" + + def evolve(src_file, tgt_file): + with open(src_file) as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open(tgt_file, "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + evolve( + f"HumanEvalPlus-{SOURCE_VERSION}.jsonl", f"HumanEvalPlus-{TARGET_VERSION}.jsonl" + ) + evolve( + f"HumanEvalPlus-Mini-{SOURCE_VERSION}.jsonl", + f"HumanEvalPlus-Mini-{TARGET_VERSION}.jsonl", + ) + + # Debug the output of jsonl + with open(f"HumanEvalPlus-{TARGET_VERSION}.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = {x["task_id"]: x for x in data} + for tid in TASK_INSPECT: + code = ( + data[f"HumanEval/{tid}"]["prompt"] + + data[f"HumanEval/{tid}"]["contract"] + + data[f"HumanEval/{tid}"]["canonical_solution"] + ) + print(code) + exec(code) + print("====================================") diff --git a/evalplus/tools/humaneval/fix_v019.py b/evalplus/tools/humaneval/fix_v019.py new file mode 100644 index 0000000000000000000000000000000000000000..6af3b3b52725a3edd91d95c9453c2825300d5bbd --- /dev/null +++ b/evalplus/tools/humaneval/fix_v019.py @@ -0,0 +1,47 @@ +from tools.humaneval.fix_utils import check_id, debug_output, evolve, replay_contract + + +def fix(data): + # https://github.com/evalplus/evalplus/issues/180 + check_id(data, 1) + replay_contract(data, 1) + + # https://github.com/evalplus/evalplus/issues/181 + check_id(data, 28) + replay_contract(data, 28) + + # https://github.com/evalplus/evalplus/issues/182 + check_id(data, 99) + data[99]["contract"] = data[99]["contract"].replace( + "float(value)", "value = float(value)" + ) + replay_contract(data, 99) + + # https://github.com/evalplus/evalplus/issues/185 + check_id(data, 160) + data[160]["contract"] = data[160]["contract"].replace( + 'operand[i-1] == 0 and operator[i] == "//"', + 'operand[i] == 0 and operator[i-1] == "//"', + ) + replay_contract(data, 160) + + return data + + +if __name__ == "__main__": + TASK_INSPECT = [1, 28, 99, 160] + SOURCE_VERSION = "v0.1.9" + TARGET_VERSION = "v0.1.10" + + evolve( + f"HumanEvalPlus-{SOURCE_VERSION}.jsonl", + f"HumanEvalPlus-{TARGET_VERSION}.jsonl", + fix, + ) + evolve( + f"HumanEvalPlus-Mini-{SOURCE_VERSION}.jsonl", + f"HumanEvalPlus-Mini-{TARGET_VERSION}.jsonl", + fix, + ) + + debug_output(TARGET_VERSION, TASK_INSPECT) diff --git a/evalplus/tools/humaneval/init_ground_truth.py b/evalplus/tools/humaneval/init_ground_truth.py new file mode 100644 index 0000000000000000000000000000000000000000..a242a09a132b070426264aa1c28369fe4ea9136a --- /dev/null +++ b/evalplus/tools/humaneval/init_ground_truth.py @@ -0,0 +1,30 @@ +import os +import pathlib + +from evalplus.data.humaneval import get_human_eval + +if __name__ == "__main__": + # check existance of ground truth folder + GT_DIR = pathlib.Path(__file__).parent.parent / "groundtruth" / "humaneval" + + assert not os.path.exists( + GT_DIR + ), "Ground truth folder already exists! If you want to reinitialize, delete the folder first." + + os.mkdir(GT_DIR) + + human_eval = get_human_eval() + for i, (task_id, task) in enumerate(human_eval.items()): + incomplete = ( + task["prompt"] + + task["canonical_solution"] + + "\n\n" + + task["test"] + + "\n" + + f"check({task['entry_point']})" + ) + with open( + os.path.join(GT_DIR, f"{str(i).zfill(3)}_{task['entry_point']}.py"), + "w", + ) as f: + f.write(incomplete) diff --git a/evalplus/tools/humaneval/init_plus.py b/evalplus/tools/humaneval/init_plus.py new file mode 100644 index 0000000000000000000000000000000000000000..9431c40d98c87c2a0eca620833dd20379c4f52ab --- /dev/null +++ b/evalplus/tools/humaneval/init_plus.py @@ -0,0 +1,112 @@ +""" +This script aims at quickly initialize a sketch for HumanEvalPlus. It's not going to be +perfect, but we will either manually or automatically fix/complete it later. ++ CHANGE 1: Adds "contract", "base_input", "atol" in addition to HumanEval. +""" + +import json +import os +import pathlib +from importlib import import_module +from inspect import getsource +from typing import Tuple + +from tempdir import TempDir + +from evalplus.data.humaneval import get_human_eval + +HUMANEVAL_PLUS_PATH = ( + pathlib.Path(__file__).parent.parent.parent / "HumanEvalPlus.jsonl" +) + + +def _ret(entry_point) -> str: + """This is a hacky function to return some garbages so that we can + successfully run the function . + """ + if entry_point == "sort_third" or entry_point == "sort_even": + return [1, 2, 3] + elif entry_point == "bf": + return () + return "1" + + +def instrument_inputs(entry_point, prompt, test) -> str: + globals()["_inputs"] = [] + fn_text = f"""{prompt.split(f"def {entry_point}")[0]} + +def {entry_point}(*args): + _inputs.append(args) + return {_ret(entry_point)} +""" + exec(fn_text, globals()) + exec(test.replace("assert ", ""), globals()) + exec(f"check({entry_point})", globals()) + exec(fn_text, globals()) + return globals()["_inputs"] + + +def get_contract_and_ref(task_id: int, entry_point) -> Tuple[str, str]: + mod = import_module(f"groundtruth.humaneval.{str(task_id).zfill(3)}_{entry_point}") + fn = getattr(mod, entry_point) + + doc = fn.__doc__ + if task_id == 51: + doc = doc.replace("bcdf\nghjklm", r"bcdf\nghjklm").replace( + "abcdef\nghijklm", r"abcdef\nghijklm" + ) + + code = ( + getsource(fn).replace(doc, "").replace("''''''", '""""""').split('""""""\n')[-1] + ) + + assert code, f"Something wrong with {task_id}!" + assert code[:3] != "def", f"Something wrong with the {task_id}!" + + # split code to contract and impl + contract = "" + impl = "" + + reading_contract = True + for line in code.strip("\n").split("\n"): + if reading_contract and "$_CONTRACT_$" in line: + contract += line + "\n" + else: + reading_contract = False + impl += line + "\n" + + if contract: + contract = "\n" + contract + + return contract, "\n" + impl + "\n" + + +def get_atol(task_id: int) -> float: + if task_id == 2 or task_id == 4: + return 1e-6 + elif task_id == 32: + return 1e-4 + return 0 + + +if __name__ == "__main__": + assert not HUMANEVAL_PLUS_PATH.exists(), f"{HUMANEVAL_PLUS_PATH} already exists!" + + human_eval = get_human_eval() + with TempDir() as temp_dir: + tmp_file = os.path.join(temp_dir, HUMANEVAL_PLUS_PATH) + with open(tmp_file, "w") as writer: + for task in human_eval: + task_id = int(task["task_id"].split("/")[-1]) + task["contract"], task["canonical_solution"] = get_contract_and_ref( + task_id, task["entry_point"] + ) + task["base_input"] = instrument_inputs( + task["entry_point"], task["prompt"], task["test"] + ) + task["atol"] = get_atol(task_id) + task["task_id"] = task["task_id"] + + writer.write(json.dumps(task) + "\n") + # move tmp_file to HUMANEVAL_PLUS_PATH + os.rename(tmp_file, HUMANEVAL_PLUS_PATH) diff --git a/evalplus/tools/humaneval/to_original_fmt.py b/evalplus/tools/humaneval/to_original_fmt.py new file mode 100644 index 0000000000000000000000000000000000000000..a1ac3e1d83b258683ae36156837eb48eda5ab056 --- /dev/null +++ b/evalplus/tools/humaneval/to_original_fmt.py @@ -0,0 +1,206 @@ +import ast +import inspect +import json +import multiprocessing +import sys +from concurrent.futures import ProcessPoolExecutor, as_completed + +from tqdm import tqdm + +from evalplus.data.humaneval import ( + HUMANEVAL_PLUS_VERSION, + get_human_eval_plus, + get_human_eval_plus_hash, +) +from evalplus.eval import is_floats +from evalplus.eval._special_oracle import _poly +from evalplus.evaluate import get_groundtruth + +HUMANEVAL_TEST_TEMPLATE = """\ +{imports} + +{aux_fn} + +def check(candidate): + inputs = {inputs} + results = {results} + for i, (inp, exp) in enumerate(zip(inputs, results)): + {assertion} +""" + +HUMANEVAL_CROSSCHECK_TEMPLATE = """\ +{aux_fn} + +{ref_func} + +def check(candidate): + inputs = {inputs} + for i, inp in enumerate(inputs): + assertion(candidate(*inp), ref_func(*inp), {atol}) +""" + +ASSERTION_FN = f"""\ +import numpy as np + +{inspect.getsource(is_floats)} + +def assertion(out, exp, atol): + exact_match = out == exp + + if atol == 0 and is_floats(exp): + atol = 1e-6 + if not exact_match and atol != 0: + assert np.allclose(out, exp, rtol=1e-07, atol=atol) + else: + assert exact_match +""" + + +def synthesize_test_code(task_id, entry_point, inputs, results, ref_func, atol): + # dataset size optimization for large outputs + if entry_point in ( + "tri", + "string_sequence", + "starts_one_ends", + "make_a_pile", + "special_factorial", + "all_prefixes", + ): + return task_id, HUMANEVAL_CROSSCHECK_TEMPLATE.format( + aux_fn=ASSERTION_FN, + inputs=inputs, + ref_func=ref_func.replace(f" {entry_point}(", " ref_func("), + atol=atol, + ) + + # default settings + imports = set() + aux_fn = ASSERTION_FN + assertion = f"assertion(candidate(*inp), exp, {atol})" + + # special case: poly + if entry_point == "find_zero": + imports.add("import math") + aux_fn = inspect.getsource(_poly) + "\n" + assertion = f"assert _poly(*candidate(*inp), inp) <= {atol}" + + return task_id, HUMANEVAL_TEST_TEMPLATE.format( + imports="\n".join(imports), + aux_fn=aux_fn, + inputs=inputs, + results=results, + assertion=assertion, + ) + + +def deduplicate(inputs, results): + assert len(inputs) == len(results) + unique_input_strs = set([f"{x}" for x in inputs]) + + new_inputs, new_results = [], [] + for inp, res in zip(inputs, results): + inp_str = f"{inp}" + if inp_str in unique_input_strs: + new_inputs.append(inp) + new_results.append(res) + unique_input_strs.remove(inp_str) + + return new_inputs, new_results + + +def main(): + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--debug-tasks", nargs="+", default=[], type=int) + + args = parser.parse_args() + + if hasattr(sys, "set_int_max_str_digits"): + sys.set_int_max_str_digits(int(10e8)) + + plus_problems = get_human_eval_plus(mini=False) + dataset_hash = get_human_eval_plus_hash() + + compatible_problems = {} + expected_outputs = get_groundtruth(plus_problems, dataset_hash, []) + + # debugging: monitoring test code size + id2bytes = {} + + n_workers = max(1, multiprocessing.cpu_count() // 4) + with ProcessPoolExecutor(max_workers=n_workers) as executor: + futures = [] + for task_id, plus_form in tqdm(plus_problems.items()): + if args.debug_tasks and int(task_id.split("/")[-1]) not in args.debug_tasks: + continue + + compatible_form = {} + compatible_form["task_id"] = task_id + compatible_form["prompt"] = plus_form["prompt"] + compatible_form["canonical_solution"] = plus_form["canonical_solution"] + compatible_form["entry_point"] = plus_form["entry_point"] + compatible_problems[task_id] = compatible_form + + inputs = plus_form["base_input"] + plus_form["plus_input"] + results = ( + expected_outputs[task_id]["base"] + expected_outputs[task_id]["plus"] + ) + + inputs, results = deduplicate(inputs, results) + + assert len(inputs) == len(results) + atol = plus_form["atol"] + + simplified_prompt = "" + for line in compatible_form["prompt"].split("\n"): + if not line: + continue + if '"""' in line or "'''" in line: + break + simplified_prompt += line + "\n" + + futures.append( + executor.submit( + synthesize_test_code, + task_id, + compatible_form["entry_point"], + inputs, + results, + simplified_prompt + compatible_form["canonical_solution"], + atol, + ) + ) + + for future in tqdm(as_completed(futures), total=len(plus_problems)): + task_id, test_code = future.result() + # syntax check of test_code + ast.parse(test_code) + id2bytes[task_id] = len(test_code.encode("utf-8")) + compatible_problems[task_id]["test"] = test_code + + # print the top-10 largest test code + print("Top-10 largest test code comes from problems (in megabytes):") + for task_id, size in sorted(id2bytes.items(), key=lambda x: x[1], reverse=True)[ + :10 + ]: + print(f"{task_id}:\t{size / 1024 / 1024:.2f}mb") + + if args.debug_tasks: + for problem in compatible_problems.values(): + print("--- debugging:", problem["task_id"]) + print(problem["prompt"] + problem["canonical_solution"]) + test_code = problem["test"] + if len(test_code) <= 2048 + 512: + print(test_code) + else: + print(problem["test"][:1024], "...") + print("...", problem["test"][-1024:]) + else: + with open(f"HumanEvalPlus-OriginFmt-{HUMANEVAL_PLUS_VERSION}.jsonl", "w") as f: + for problem in compatible_problems.values(): + f.write(json.dumps(problem) + "\n") + + +if __name__ == "__main__": + main() diff --git a/evalplus/tools/mbpp/check_ground_truth.py b/evalplus/tools/mbpp/check_ground_truth.py new file mode 100644 index 0000000000000000000000000000000000000000..738ae4b3d4c707ea1bac7702246f83b823a7d71f --- /dev/null +++ b/evalplus/tools/mbpp/check_ground_truth.py @@ -0,0 +1,22 @@ +"""Test through all ground truth files in groundtruth/mbpp.""" + +import pathlib + +import multiprocess as mp +from rich.progress import track + +if __name__ == "__main__": + mbpp_work_dir = pathlib.Path(__file__).parent.parent.parent / "groundtruth" / "mbpp" + assert mbpp_work_dir.exists(), f"{mbpp_work_dir} does not exist!" + for file in track(mbpp_work_dir.glob("*.py")): + print(file) + code = file.read_text() + + # run the code in a subprocess + p = mp.Process(target=exec, args=(code, globals())) + p.start() + p.join(timeout=5) + assert not p.is_alive(), f"Timeout for {file}!" + p.terminate() + p.join() + assert p.exitcode == 0, f"Error for {file}! {code}" diff --git a/evalplus/tools/mbpp/filter_extreme.py b/evalplus/tools/mbpp/filter_extreme.py new file mode 100644 index 0000000000000000000000000000000000000000..372ba700610962794aac71eb0f3151e136c87115 --- /dev/null +++ b/evalplus/tools/mbpp/filter_extreme.py @@ -0,0 +1,42 @@ +if __name__ == "__main__": + import json + + from evalplus.data.mbpp import MBPP_PLUS_VERSION, _ready_mbpp_plus_path + from evalplus.data.utils import stream_jsonl + + # just load raw data + plus_path = _ready_mbpp_plus_path() + data = {task["task_id"]: task for task in stream_jsonl(plus_path)} + # Process data + for task_id, task in data.items(): + # ============================================================= + filtered_input = [] + if task["task_id"] == "Mbpp/239": + # filter tests in data[task_id]["plus_inputs"] + for m, n in data[task_id]["plus_input"]: + if m < 100: + filtered_input.append((m, n)) + data[task_id]["plus_input"] = filtered_input + elif task["task_id"] in ["Mbpp/274"]: + for (n,) in data[task_id]["plus_input"]: + if n < 25: + filtered_input.append((n,)) + data[task_id]["plus_input"] = filtered_input + elif task["task_id"] == "Mbpp/392": + for (n,) in data[task_id]["plus_input"]: + # 20bit signed integer max + if n <= 2 ** (20 - 1) - 1: + filtered_input.append((n,)) + data[task_id]["plus_input"] = filtered_input + elif task["task_id"] in ["Mbpp/388", "Mbpp/599", "Mbpp/605", "Mbpp/781"]: + for (n,) in data[task_id]["plus_input"]: + # 27bit signed integer max + if n <= 2 ** (27 - 1) - 1: + filtered_input.append((n,)) + data[task_id]["plus_input"] = filtered_input + # ============================================================= + + # Save outputs + with open(f"MbppPlus-NoExtreme-{MBPP_PLUS_VERSION}.jsonl", "w") as f: + for task in data.values(): + f.write(json.dumps(task) + "\n") diff --git a/evalplus/tools/mbpp/fix_v010.py b/evalplus/tools/mbpp/fix_v010.py new file mode 100644 index 0000000000000000000000000000000000000000..f1aedfc97760d5de15bbdfccc992de8dcb52e059 --- /dev/null +++ b/evalplus/tools/mbpp/fix_v010.py @@ -0,0 +1,221 @@ +def check_id(data, n, task_id): + assert data[n]["task_id"] == task_id + + +def fix(data): + # fix: https://github.com/evalplus/evalplus/issues/156 + + check_id(data, 334, "Mbpp/734") + data[334]["prompt"] = data[334]["prompt"].replace( + "https://www.geeksforgeeks.org/sum-of-products-of-all-possible-subarrays/", "" + ) + + check_id(data, 335, "Mbpp/735") + data[335]["prompt"] = data[335]["prompt"].replace( + "https://www.geeksforgeeks.org/toggle-bits-number-expect-first-last-bits/", "" + ) + + check_id(data, 336, "Mbpp/736") + data[336]["prompt"] = data[336]["prompt"].replace( + "https://www.w3resource.com/python-exercises/data-structures-and-algorithms/python-data-structure-exercise-24.php", + "", + ) + + check_id(data, 338, "Mbpp/739") + data[338]["prompt"] = data[338]["prompt"].replace( + "https://www.geeksforgeeks.org/index-of-smallest-triangular-number-with-n-digits/", + "", + ) + + check_id(data, 339, "Mbpp/740") + data[339]["prompt"] = data[339]["prompt"].replace( + "https://www.geeksforgeeks.org/python-convert-tuple-to-adjacent-pair-dictionary/", + "", + ) + + check_id(data, 342, "Mbpp/743") + data[342]["prompt"] = data[342]["prompt"].replace( + "https://www.geeksforgeeks.org/python-program-right-rotate-list-n/", "" + ) + + check_id(data, 344, "Mbpp/745") + data[344]["prompt"] = data[344]["prompt"].replace( + "https://www.w3resource.com/python-exercises/lambda/python-lambda-exercise-24.php", + "", + ) + + check_id(data, 347, "Mbpp/749") + data[347]["prompt"] = data[347]["prompt"].replace( + "https://www.geeksforgeeks.org/python-sort-numeric-strings-in-a-list/", "" + ) + + check_id(data, 349, "Mbpp/751") + data[349]["prompt"] = data[349]["prompt"].replace( + "https://www.geeksforgeeks.org/how-to-check-if-a-given-array-represents-a-binary-heap/", + "", + ) + + check_id(data, 350, "Mbpp/752") + data[350]["prompt"] = data[350]["prompt"].replace( + "https://www.geeksforgeeks.org/jacobsthal-and-jacobsthal-lucas-numbers/", "" + ) + + check_id(data, 351, "Mbpp/753") + data[351]["prompt"] = data[351]["prompt"].replace( + "https://www.geeksforgeeks.org/python-find-minimum-k-records-from-tuple-list/", + "", + ) + + check_id(data, 354, "Mbpp/757") + data[354]["prompt"] = data[354]["prompt"].replace( + "https://www.geeksforgeeks.org/python-program-to-count-the-pairs-of-reverse-strings/", + "", + ) + + check_id(data, 359, "Mbpp/763") + data[359]["prompt"] = data[359]["prompt"].replace( + "https://www.geeksforgeeks.org/find-minimum-difference-pair/", "" + ) + + check_id(data, 366, "Mbpp/771") + data[366]["prompt"] = data[366]["prompt"].replace( + "https://www.geeksforgeeks.org/check-for-balanced-parentheses-in-an-expression/", + "", + ) + + check_id(data, 372, "Mbpp/780") + data[372]["prompt"] = data[372]["prompt"].replace( + "https://www.geeksforgeeks.org/python-combinations-of-sum-with-tuples-in-tuple-list/", + "", + ) + + check_id(data, 373, "Mbpp/781") + data[373]["prompt"] = data[373]["prompt"].replace( + "https://www.w3resource.com/python-exercises/basic/python-basic-1-exercise-24.php", + "", + ) + + check_id(data, 374, "Mbpp/782") + data[374]["prompt"] = data[374]["prompt"].replace( + "https://www.geeksforgeeks.org/sum-of-all-odd-length-subarrays/", "" + ) + + check_id(data, 392, "Mbpp/803") + data[392]["prompt"] = data[392]["prompt"].replace( + "https://www.geeksforgeeks.org/check-if-given-number-is-perfect-square-in-cpp/", + "", + ) + + # fix: https://github.com/evalplus/evalplus/issues/147 + + check_id(data, 375, "Mbpp/783") + del data[375] + + check_id(data, 345, "Mbpp/746") + del data[345] + + check_id(data, 318, "Mbpp/640") + del data[318] + + check_id(data, 282, "Mbpp/595") + del data[282] + + check_id(data, 270, "Mbpp/582") + del data[270] + + check_id(data, 263, "Mbpp/574") + del data[263] + + check_id(data, 231, "Mbpp/461") + del data[231] + + check_id(data, 216, "Mbpp/442") + del data[216] + + check_id(data, 212, "Mbpp/438") + del data[212] + + check_id(data, 206, "Mbpp/431") + del data[206] + + check_id(data, 187, "Mbpp/407") + del data[187] + + check_id(data, 183, "Mbpp/400") + del data[183] + + check_id(data, 180, "Mbpp/396") + del data[180] + + check_id(data, 160, "Mbpp/295") + del data[160] + + check_id(data, 121, "Mbpp/249") + del data[121] + + check_id(data, 107, "Mbpp/229") + del data[107] + + check_id(data, 94, "Mbpp/164") + del data[94] + + check_id(data, 89, "Mbpp/143") + del data[89] + + check_id(data, 67, "Mbpp/117") + del data[67] + + check_id(data, 65, "Mbpp/115") + del data[65] + + check_id(data, 37, "Mbpp/83") + del data[37] + + return data + + +if __name__ == "__main__": + import json + + TASK_INSPECT = [ + "Mbpp/734", + "Mbpp/735", + "Mbpp/736", + "Mbpp/739", + "Mbpp/740", + "Mbpp/743", + "Mbpp/745", + "Mbpp/749", + "Mbpp/751", + "Mbpp/752", + "Mbpp/753", + "Mbpp/757", + "Mbpp/763", + "Mbpp/771", + "Mbpp/780", + "Mbpp/781", + "Mbpp/782", + "Mbpp/803", + ] + SOURCE_VERSION = "v0.1.0" + TARGET_VERSION = "v0.2.0" + + def evolve(src_file, tgt_file): + with open(src_file) as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open(tgt_file, "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + evolve(f"MbppPlus-{SOURCE_VERSION}.jsonl", f"MbppPlus-{TARGET_VERSION}.jsonl") + + # Inspect the output of jsonl + with open(f"MbppPlus-{TARGET_VERSION}.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = {x["task_id"]: x for x in data} + for task_id in TASK_INSPECT: + print(data[task_id]["prompt"]) + print("====================================") diff --git a/evalplus/tools/mbpp/fix_v020.py b/evalplus/tools/mbpp/fix_v020.py new file mode 100644 index 0000000000000000000000000000000000000000..b35a229a36fc251b5ea8c8c21fe8bc821b2c73e2 --- /dev/null +++ b/evalplus/tools/mbpp/fix_v020.py @@ -0,0 +1,70 @@ +def check_id(data, n, task_id): + assert data[n]["task_id"] == task_id + + +def fix(data): + # fix: https://github.com/evalplus/evalplus/issues/210 + + check_id(data, 215, "Mbpp/459") + data[215][ + "canonical_solution" + ] = """ +def remove_uppercase(str1): + return ''.join(c for c in str1 if not c.isupper()) +""" + + check_id(data, 55, "Mbpp/102") + data[55][ + "canonical_solution" + ] = """ +def snake_to_camel(snake_str): + components = snake_str.split('_') + return components[0] + ''.join(x.title() for x in components[1:]) +""" + + check_id(data, 236, "Mbpp/559") + data[236][ + "canonical_solution" + ] = """ +def max_sub_array_sum(arr, n): + max_so_far = arr[0] if len(arr) else 0 + max_ending_here = arr[0] if len(arr) else 0 + for i in range(1, n): + max_ending_here = max(arr[i], max_ending_here + arr[i]) + max_so_far = max(max_so_far, max_ending_here) + return max_so_far +""" + + return data + + +if __name__ == "__main__": + import json + + TASK_INSPECT = [ + "Mbpp/459", + "Mbpp/102", + "Mbpp/559", + ] + SOURCE_VERSION = "v0.2.0" + TARGET_VERSION = "v0.2.1" + + def evolve(src_file, tgt_file): + with open(src_file) as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = fix(data) + with open(tgt_file, "wb") as f: + for x in data: + f.write((json.dumps(x) + "\n").encode("utf-8")) + + evolve(f"MbppPlus-{SOURCE_VERSION}.jsonl", f"MbppPlus-{TARGET_VERSION}.jsonl") + + # Inspect the output of jsonl + with open(f"MbppPlus-{TARGET_VERSION}.jsonl") as f: + data = [json.loads(line) for line in f.readlines() if line] + + data = {x["task_id"]: x for x in data} + for task_id in TASK_INSPECT: + print(data[task_id]["canonical_solution"]) + print("====================================") diff --git a/evalplus/tools/mbpp/init_ground_truth.py b/evalplus/tools/mbpp/init_ground_truth.py new file mode 100644 index 0000000000000000000000000000000000000000..dce9b3057eb6a9e0deccbd1e0c20cd997e23e60d --- /dev/null +++ b/evalplus/tools/mbpp/init_ground_truth.py @@ -0,0 +1,41 @@ +"""This script will initialize a folder of Python texts from MBPP. +Based on this we will add our contract and modified ground-truth. +""" + +import os +import pathlib + +from evalplus.data.mbpp import get_mbpp + +if __name__ == "__main__": + # check existance of ground truth folder + GT_DIR = pathlib.Path(__file__).parent.parent.parent / "groundtruth" / "mbpp" + + assert not os.path.exists( + GT_DIR + ), "Ground truth folder already exists! If you want to reinitialize, delete the folder first." + + GT_DIR.parent.mkdir(exist_ok=True) + GT_DIR.mkdir() + + mbpp = get_mbpp() + + newline = "\n" + + for tid, task in mbpp.items(): + incomplete = f'''""" +{task["prompt"]} +""" + +{task["code"]} + +{newline.join(task["test_imports"])} + +{newline.join(task["test_list"])} +''' + + with open( + os.path.join(GT_DIR, f"{tid.zfill(3)}.py"), + "w", + ) as f: + f.write(incomplete) diff --git a/evalplus/tools/mbpp/init_plus.py b/evalplus/tools/mbpp/init_plus.py new file mode 100644 index 0000000000000000000000000000000000000000..22f5895c061f92236e921595d99ec14908a6486d --- /dev/null +++ b/evalplus/tools/mbpp/init_plus.py @@ -0,0 +1,198 @@ +import json +import os +import pathlib +import shutil +from importlib import util +from inspect import getmembers, isfunction +from typing import Tuple + +from tempdir import TempDir + +from evalplus.data.mbpp import get_mbpp, mbpp_serialize_inputs + +MBPP_PLUS_PATH = pathlib.Path(__file__).parent.parent.parent / "MbppBase.jsonl" + +GROUNDTRUTH_MBPP_PATH = pathlib.Path(__file__).parent.parent.parent / "groundtruth/mbpp" + + +def _ret(entry_point) -> str: + """ + This is a hacky function to return some garbages so that we can + successfully run the function . + """ + set_assertion_func = [ + "similar_elements", + "find_char_long", + "common_in_nested_lists", + "extract_singly", + "larg_nnum", + "intersection_array", + "k_smallest_pairs", + ] + if entry_point in set_assertion_func: + return "()" + return "1" + + +def get_entry_point(task_id: int, assertion: str) -> str: + py_file_path = str(GROUNDTRUTH_MBPP_PATH) + f"/{str(task_id).zfill(3)}.py" + spec = util.spec_from_file_location("inspect_module", py_file_path) + module = util.module_from_spec(spec) + spec.loader.exec_module(module) + functions = [name for name, value in getmembers(module, isfunction)] + + # maybe exist some helper functions, filter them + functions = [func for func in functions if func in assertion] + if len(functions) > 1: + print("more than one function: ", functions) + + return functions[0] if len(functions) > 0 else None + + +def get_code_and_contract_and_assertion(task_id: id) -> Tuple[str, str, str]: + py_file_path = str(GROUNDTRUTH_MBPP_PATH) + f"/{str(task_id).zfill(3)}.py" + with open(py_file_path) as reader: + text = reader.read() + # remove docstring + start_index = text.find('"""') + end_index = text.find('"""', start_index + 3) + if start_index != -1 and end_index != -1: + text = text[:start_index] + text[end_index + 3 :] + + lines = text.splitlines() + assertion = "" + contract = "" + + for i in range(len(lines)): + if "$_CONTRACT_$" in lines[i]: + contract += lines[i] + "\n" + elif lines[i].startswith("assert"): + assertion += lines[i] + "\n" + + for i in range(len(lines) - 1, -1, -1): + if ( + "$_CONTRACT_$" in lines[i] + or lines[i].startswith("assert") + or lines[i] == "" + ): + del lines[i] + + for i in range(len(lines) - 1, -1, -1): + if lines[i].startswith("import"): + del lines[i] + else: + break + + code = "\n".join(lines) + return "\n" + code + "\n", "\n" + contract, "\n" + assertion + + +def instrument_inputs(code, entry_point, test_code) -> str: + globals()["_inputs"] = [] + fn_text = f"""{code.split(f"def {entry_point}")[0]} + +def {entry_point}(*args): + _inputs.append(args) + return {_ret(entry_point)} +""" + exec(fn_text + "\n" + test_code.replace("assert ", ""), globals()) + print(fn_text + "\n" + test_code.replace("assert ", "")) + print(globals()["_inputs"]) + return globals()["_inputs"] + + +def get_atol(task_id: int) -> float: + float_ans_list = [ + 82, + 85, + 98, + 120, + 124, + 137, + 139, + 163, + 233, + 246, + 248, + 276, + 293, + 300, + 312, + 442, + 574, + 742, + 746, + ] + if task_id in float_ans_list: + return 1e-4 + return 0 + + +if __name__ == "__main__": + assert not MBPP_PLUS_PATH.exists(), f"{MBPP_PLUS_PATH} already exists!" + + mbpp = get_mbpp() + + with TempDir() as temp_dir: + tmp_file = os.path.join(temp_dir, MBPP_PLUS_PATH) + with open(tmp_file, "w") as writer: + for task in mbpp.values(): + task_id = int(task["task_id"]) + + if task_id in [ + 163, + 228, + 304, + 408, + 776, + 307, + 417, + 443, + 444, + 452, + 464, + 617, + 627, + 738, + 747, + 802, + 393, + 411, + 584, + 625, + 756, + 779, + ]: + continue + + task["task_id"] = f"Mbpp/{task_id}" + task["entry_point"] = get_entry_point(task_id, task["test_list"][0]) + task["prompt"] = f'"""\n{task["prompt"]}\n{task["test_list"][0]}\n"""\n' + + ( + task["canonical_solution"], + task["contract"], + task["assertion"], + ) = get_code_and_contract_and_assertion(task_id) + if len(task["test_imports"]): + task["assertion"] = ( + "\n".join(task["test_imports"]) + "\n" + task["assertion"] + ) + + task["base_input"] = instrument_inputs( + task["canonical_solution"], task["entry_point"], task["assertion"] + ) + + task["atol"] = get_atol(task_id) + + del task["source_file"] + del task["code"] + del task["test_list"] + del task["test_imports"] + del task["assertion"] + + task["base_input"] = mbpp_serialize_inputs(task_id, task["base_input"]) + + writer.write(json.dumps(task) + "\n") + + shutil.copy2(tmp_file, MBPP_PLUS_PATH) diff --git a/evalplus/tools/mbpp/to_original_fmt.py b/evalplus/tools/mbpp/to_original_fmt.py new file mode 100644 index 0000000000000000000000000000000000000000..4fb06c595aef9b81e07379f6d95209fde2377d38 --- /dev/null +++ b/evalplus/tools/mbpp/to_original_fmt.py @@ -0,0 +1,290 @@ +import ast +import inspect +import json +import multiprocessing +import sys +from concurrent.futures import ProcessPoolExecutor, as_completed +from traceback import print_exc + +from rich.console import Console +from rich.syntax import Syntax +from tqdm import tqdm + +from evalplus.data.mbpp import ( + MBPP_PLUS_VERSION, + get_mbpp, + get_mbpp_plus, + get_mbpp_plus_hash, +) +from evalplus.eval import is_floats +from evalplus.eval._special_oracle import ( + MBPP_OUTPUT_NOT_NONE_TASKS, + MBPP_OUTPUT_SET_EQ_TASKS, + _digit_distance_nums, + _surface_Area, +) +from evalplus.evaluate import get_groundtruth + +MBPP_TEST_TEMPLATE = """\ +{imports} + +{aux_fn} + +inputs = {inputs} +results = {results} +for i, (inp, exp) in enumerate(zip(inputs, results)): + {assertion} +""" + +MBPP_CROSSCHECK_TEMPLATE = """\ +import numpy as np +from math import inf + +{aux_fn} + +{ref_func} + +inputs = {inputs} +for i, inp in enumerate(inputs): + assertion({entry_point}(*inp), ref_func(*inp), {atol}) +""" + +ASSERTION_FN = f"""\ +import numpy as np + +{inspect.getsource(is_floats)} + +def assertion(out, exp, atol): + exact_match = out == exp + + if atol == 0 and is_floats(exp): + atol = 1e-6 + if not exact_match and atol != 0: + assert np.allclose(out, exp, rtol=1e-07, atol=atol) + else: + assert exact_match, f"out: {{out}}, exp: {{exp}}" +""" + + +def synthesize_test_code(task_id, entry_point, inputs, results, ref_func, atol): + # dataset size optimization for large outputs + if entry_point in ("combinations_colors", "freq_count", "get_coordinates"): + return task_id, MBPP_CROSSCHECK_TEMPLATE.format( + aux_fn=ASSERTION_FN, + inputs=inputs, + ref_func=ref_func.replace(f" {entry_point}(", " ref_func("), + entry_point=entry_point, + atol=atol, + ) + + # default settings + imports = set(["import numpy as np", "from math import inf"]) + aux_fn = ASSERTION_FN + assertion = f"assertion({entry_point}(*inp), exp, {atol})" + + # ================================================ # + # ============== special oracles ================= # + + if entry_point in MBPP_OUTPUT_SET_EQ_TASKS: + aux_fn = f"""\ +{inspect.getsource(is_floats)} + +def assertion(out, exp, atol): + if atol == 0 and is_floats(exp): + atol = 1e-6 + out = set(out) + exp = set(exp) + if out != exp and atol != 0: + assert np.allclose(out, exp, rtol=1e-07, atol=atol) + else: + assert out == exp, f"out: {{out}}, exp: {{exp}}" +""" + elif entry_point in MBPP_OUTPUT_NOT_NONE_TASKS: + aux_fn = f"""\ +def assertion(out, exp, atol): + if isinstance(out, bool): + exact_match = out == exp + else: + exact_match = exp == (out is not None) +""" + elif entry_point == "surface_Area": + imports.add("import math") + aux_fn = ( + inspect.getsource(_surface_Area) + + "\n" + + """\ +def assertion(out, exp_0, exp_1, atol): + assert abs(out - exp_0) <= atol or abs(out - exp_1) <= atol +""" + ) + assertion = f"assertion(surface_Area(*inp), exp, _surface_Area(*inp), {atol})" + + elif entry_point == "digit_distance_nums": + aux_fn = ( + inspect.getsource(_digit_distance_nums) + + "\n" + + """\ +def assertion(out, exp_0, exp_1, atol): + assert out == exp_0 or out == exp_1 +""" + ) + assertion = f"assertion(digit_distance_nums(*inp), exp, _digit_distance_nums(*inp), {atol})" + + # ============== special oracles ================= # + # ================================================ # + + test_code = MBPP_TEST_TEMPLATE.format( + imports="\n".join(imports), + aux_fn=aux_fn, + inputs=inputs, + results=results, + entry_point=entry_point, + assertion=assertion, + ) + + return task_id, test_code + + +def deduplicate(inputs, results): + assert len(inputs) == len(results) + unique_input_strs = set([f"{x}" for x in inputs]) + + new_inputs, new_results = [], [] + for inp, res in zip(inputs, results): + inp_str = f"{inp}" + if inp_str in unique_input_strs: + new_inputs.append(inp) + new_results.append(res) + unique_input_strs.remove(inp_str) + + return new_inputs, new_results + + +def main(): + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--debug-tasks", nargs="+", default=[], type=int) + + args = parser.parse_args() + console = Console() + + if hasattr(sys, "set_int_max_str_digits"): + sys.set_int_max_str_digits(int(10e8)) + + plus_problems = get_mbpp_plus(mini=False) + dataset_hash = get_mbpp_plus_hash() + + original_mbpp = get_mbpp() + + compatible_problems = {} + expected_outputs = get_groundtruth( + plus_problems, dataset_hash, MBPP_OUTPUT_NOT_NONE_TASKS + ) + + # debugging: monitoring test code size + id2bytes = {} + + n_workers = max(1, multiprocessing.cpu_count() // 4) + with ProcessPoolExecutor(max_workers=n_workers) as executor: + futures = [] + for task_id, plus_form in tqdm(plus_problems.items()): + # expected MBPP task_id is numbers directly + # i.e., "666" instead of "Mbpp/666" + # But in EvalPlus the task_id is "Mbpp/666" + task_id_int = int(task_id.split("/")[-1]) + if args.debug_tasks and task_id_int not in args.debug_tasks: + continue + + compatible_form = { + "task_id": task_id_int, + "code": plus_form["canonical_solution"], + "prompt": original_mbpp[str(task_id_int)]["prompt"], + "source_file": original_mbpp[str(task_id_int)]["source_file"], + "test_imports": original_mbpp[str(task_id_int)]["test_imports"], + "test_list": original_mbpp[str(task_id_int)]["test_list"], + } + compatible_problems[task_id_int] = compatible_form + + inputs = ( + plus_form["base_input"] + plus_form["plus_input"] + if len(plus_form["plus_input"]) > 0 + else plus_form["base_input"] + ) + results = ( + expected_outputs[task_id]["base"] + expected_outputs[task_id]["plus"] + ) + + inputs, results = deduplicate(inputs, results) + + assert len(inputs) == len(results) + atol = plus_form["atol"] + + futures.append( + executor.submit( + synthesize_test_code, + task_id_int, + plus_form["entry_point"], + inputs, + results, + compatible_form["code"], + atol, + ) + ) + + for future in tqdm(as_completed(futures), total=len(plus_problems)): + task_id, test_code = future.result() + # syntax check of test_code + ast.parse(test_code) + # ground-truth check + task = plus_problems[f"Mbpp/{task_id}"] + exec_code = ( + task["prompt"] + "\n" + task["canonical_solution"] + "\n" + test_code + ) + + # run the code in a subprocess + def test(): + try: + exec(exec_code, globals()) + except Exception: + print_exc() + raise + + p = multiprocessing.Process(target=test) + p.start() + p.join(timeout=20) + assert not p.is_alive(), f"Timeout for Mbpp/{task_id}!" + p.terminate() + p.join() + if p.exitcode != 0: + console.print(Syntax(exec_code, "python", line_numbers=True)) + raise RuntimeError(f"Error for Mbpp/{task_id}") + + id2bytes[task_id] = len(test_code.encode("utf-8")) + compatible_problems[task_id]["test"] = test_code + + # print the top-10 largest test code + print("Top-10 largest test code comes from problems (in megabytes):") + for task_id, size in sorted(id2bytes.items(), key=lambda x: x[1], reverse=True)[ + :10 + ]: + print(f"{task_id}:\t{size / 1024 / 1024:.2f}mb") + + if args.debug_tasks: + for problem in compatible_problems.values(): + print("--- debugging:", problem["task_id"]) + print('"""\n' + problem["prompt"] + '\n"""\n' + problem["code"]) + test_code = problem["test"] + if len(test_code) <= 1024: + print(test_code) + else: + print(problem["test"][:1024], "...") + print("...", problem["test"][-1024:]) + else: + with open(f"MbppPlus-OriginFmt-{MBPP_PLUS_VERSION}.jsonl", "w") as f: + for problem in compatible_problems.values(): + f.write(json.dumps(problem) + "\n") + + +if __name__ == "__main__": + main() diff --git a/evalplus/tools/merge_dataset.py b/evalplus/tools/merge_dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..c52664ffa72a3032994081556ac0d42905b0cbe0 --- /dev/null +++ b/evalplus/tools/merge_dataset.py @@ -0,0 +1,38 @@ +if __name__ == "__main__": + import argparse + import json + import os + + from tempdir import TempDir + + parser = argparse.ArgumentParser() + parser.add_argument("--dataset", default="humaneval", type=str) + parser.add_argument("--plus-input", required=True, type=str) + parser.add_argument("--output", required=True, type=str) + args = parser.parse_args() + + assert args.dataset == "humaneval" + assert not os.path.exists(args.output), f"{args.output} already exists!" + + with TempDir() as tempdir: + # Generate inputs + plus_input = {} + with open(args.plus_input) as file: + for line in file: + problem = json.loads(line) + plus_input[problem["task_id"]] = problem["inputs"] + + tempf = None + if args.dataset == "humaneval": + from evalplus.data import get_human_eval_plus + + # Allow it to be incomplete + problems = get_human_eval_plus(err_incomplete=False) + tempf = os.path.join(tempdir, "HumanEvalPlus.jsonl") + with open(tempf, "w") as file: + for problem in problems: + problem["plus_input"] = plus_input[problem["task_id"]] + file.write(json.dumps(problem) + "\n") + + # Move to the right place + os.rename(tempf, args.output) diff --git a/evalplus/tools/render.py b/evalplus/tools/render.py new file mode 100644 index 0000000000000000000000000000000000000000..19f076866d2c5be702593fd8c33ab6c3e1ad9773 --- /dev/null +++ b/evalplus/tools/render.py @@ -0,0 +1,194 @@ +"""Convert the results to an ingredient for LaTeX table. +""" + +import argparse +import json +import os + +import numpy as np +from termcolor import cprint + +from evalplus.eval import estimate_pass_at_k + +TEMPS = [0.2, 0.4, 0.6, 0.8] + + +def analyze_resfile(resfile): + before_summary = {} + after_summary = {} + + res = json.load(open(resfile))["eval"] + total = [] + before_pass = [] + after_pass = [] + for v in res.values(): + total.append(v["nfiles"]) + bc = sum([r[0] == SUCCESS for r in v["base"]]) + before_pass.append(bc) + if v["plus"]: + after_pass.append( + sum( + [ + v["plus"][i][0] == v["base"][i][0] == SUCCESS + for i in range(len(v["plus"])) + ] + ) + ) + + total = np.array(total) + before_pass = np.array(before_pass) + after_pass = np.array(after_pass) + for k in [1, 10, 100]: + if total.min() >= k: + pass_at_k = estimate_pass_at_k(total, before_pass, k).mean() + before_summary[f"pass@{k}"] = pass_at_k * 100 # scale to % + for k in [1, 10, 100]: + if total.min() >= k: + pass_at_k = estimate_pass_at_k(total, after_pass, k).mean() + after_summary[f"pass@{k}"] = pass_at_k * 100 + + return before_summary, after_summary + + +def align_ampersands(str1, str2): + """ + This function takes two strings containing various "&" characters and transforms them so that the indices of "&" + are aligned. This is useful for formatting LaTeX tables. + + Args: + str1 (str): First input string containing "&" characters. + str2 (str): Second input string containing "&" characters. + + Returns: + Tuple[str, str]: Two transformed strings with aligned "&" indices. + """ + # Find indices of "&" characters in both strings + amp_idx1 = [i for i, char in enumerate(str1) if char == "&"] + amp_idx2 = [i for i, char in enumerate(str2) if char == "&"] + + assert len(amp_idx1) == len(amp_idx2) + + # Replace "&" characters in the strings with "\&" at the aligned indices + acc1, acc2 = 0, 0 + for i, j in zip(amp_idx1, amp_idx2): + diff = (j + acc2) - (i + acc1) + if diff > 0: + str1 = str1[: i + acc1] + " " * diff + str1[i + acc1 :] + acc1 += diff + elif diff < 0: + str2 = str2[: j + acc2] + " " * (-diff) + str2[j + acc2 :] + acc2 -= diff + + return str1, str2 + + +def texprint(before_summary, after_summary, bfgreedy, afgreedy): + TEXTTEMPS = [r"\temptwo{}", r"\tempfour{}", r"\tempsix{}", r"\tempeight{}"] + + def aplus(s) -> str: + return r"\aplus{" + s + r"}" + + def make_line(summary, amax, ap=False): + pkvals = [f"{v[amax[i]]:.1f}" for i, v in enumerate(summary.values())] + if ap: + pkvals = [aplus(v) for v in pkvals] + return ( + " & ".join(pkvals) + + " & " + + " & ".join([TEXTTEMPS[i] for i in amax]) + + r" \\" + ) + + print("======== LaTeX Table Ingredent ========") + argmax = [np.argmax(v) for v in before_summary.values()] + text1 = "base & " + if bfgreedy is not None: + text1 += f"{bfgreedy:.1f} & " + argmax = [np.argmax(v) for v in after_summary.values()] + text1 += make_line(before_summary, argmax) + + text2 = "\\aplus{+extra} & " + if afgreedy is not None: + text2 += aplus(f"{afgreedy:.1f}") + " & " + text2 += make_line(after_summary, argmax, ap=True) + + text1, text2 = align_ampersands(text1, text2) + cprint(text1, "green") + cprint(text2, "green") + + +def rich_print(before_summary, after_summary, bfgreedy, afgreedy): + from rich.console import Console + from rich.table import Table + + console = Console() + table = Table(show_header=True, header_style="bold magenta", title="pass@k results") + + before_row = [] + after_row = [] + + table.add_column(" ", style="dim", no_wrap=True) + + if bfgreedy is not None: + assert afgreedy is not None + table.add_column("Greedy pass@1", justify="right", style="bold green") + before_row.append(f"{bfgreedy:.1f}") + after_row.append(f"{afgreedy:.1f}") + + for k in before_summary: + table.add_column(k, justify="right", style="bold magenta") + table.add_column("Tbest.", justify="right") + amax_before = np.argmax(before_summary[k]) + amax_after = np.argmax(after_summary[k]) + before_row.append(f"{before_summary[k][amax_before]:.1f}") + before_row.append(f"{TEMPS[amax_before]}") + after_row.append(f"{after_summary[k][amax_after]:.1f}") + after_row.append(f"{TEMPS[amax_after]}") + + table.add_row("Before", *before_row) + table.add_row("After", *after_row) + + console.print(table) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--type", type=str, required=True) + args = parser.parse_args() + + # Analyszing 0.2~0.8 temperatures. + resfiles = [] + # check existance + for t in TEMPS: + f = os.path.join(f"{args.type}_temp_{t}", f"eval_results.json") + assert os.path.exists(f), f"{f} not found" + resfiles.append(f) + + before_summary = {} + after_summary = {} + + SUCCESS = "success" + + for resfile in resfiles: + # load the results + before, after = analyze_resfile(resfile) + for k, v in before.items(): + before_summary.setdefault(k, []).append(v) + for k, v in after.items(): + after_summary.setdefault(k, []).append(v) + + # print pass@1~100, and corresponding max temperature + + # Analyszing greedy decoding (temperature=0.0) + gf = os.path.join(f"{args.type}_temp_0.0", f"eval_results.json") + bfgreedy, afgreedy = None, None + if os.path.exists(gf): + bfgreedy, afgreedy = analyze_resfile(gf) + bfgreedy = bfgreedy["pass@1"] + afgreedy = afgreedy["pass@1"] + + # Rich printing + rich_print(before_summary, after_summary, bfgreedy, afgreedy) + + # LaTeX printing + texprint(before_summary, after_summary, bfgreedy, afgreedy) diff --git a/evalplus/tools/requirements.txt b/evalplus/tools/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..c44d50fc53be36d42cc5e6cb177b50bbce014719 --- /dev/null +++ b/evalplus/tools/requirements.txt @@ -0,0 +1,8 @@ +rich +tempdir +matplotlib +tqdm +numpy +termcolor +black +astor diff --git a/evalplus/tools/sanitize.py b/evalplus/tools/sanitize.py new file mode 100644 index 0000000000000000000000000000000000000000..02da91c747f4b88a26f7bd7c3c3a0d682fd65600 --- /dev/null +++ b/evalplus/tools/sanitize.py @@ -0,0 +1,6 @@ +"""This script is kept for compatibility. Use evalplus.sanitize if possible.""" + +from evalplus.sanitize import main + +if __name__ == "__main__": + main() diff --git a/evalplus/tools/stat_plus.py b/evalplus/tools/stat_plus.py new file mode 100644 index 0000000000000000000000000000000000000000..5543ba5feda966aaaa4a20e42041f7122399a59a --- /dev/null +++ b/evalplus/tools/stat_plus.py @@ -0,0 +1,33 @@ +import argparse + +import numpy as np + +from evalplus.data import get_human_eval_plus, get_mbpp_plus + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--dataset", default="humaneval", choices=["mbpp", "humaneval"]) + parser.add_argument("--mini", action="store_true") + args = parser.parse_args() + + print(f"Reporting stats for {args.dataset} dataset [ mini = {args.mini} ]") + if args.dataset == "humaneval": + data = get_human_eval_plus(mini=args.mini) + elif args.dataset == "mbpp": + data = get_mbpp_plus(mini=args.mini) + + sizes = np.array( + [[len(inp["base_input"]), len(inp["plus_input"])] for inp in data.values()] + ) + size_base = sizes[:, 0] + print(f"{size_base.min() = }", f"{size_base.argmin() = }") + print(f"{size_base.max() = }", f"{size_base.argmax() = }") + print(f"{np.percentile(size_base, 50) = :.1f}") + print(f"{size_base.mean() = :.1f}") + + size_plus = sizes[:, 1] + size_plus += size_base + print(f"{size_plus.min() = }", f"{size_plus.argmin() = }") + print(f"{size_plus.max() = }", f"{size_plus.argmax() = }") + print(f"{np.percentile(size_plus, 50) = :.1f}") + print(f"{size_plus.mean() = :.1f}") diff --git a/evalplus/tools/tsr/.gitignore b/evalplus/tools/tsr/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..c8cb18147ee67b6e7fc8aafead15c99d78f3ead3 --- /dev/null +++ b/evalplus/tools/tsr/.gitignore @@ -0,0 +1 @@ +tsr_info diff --git a/evalplus/tools/tsr/README.md b/evalplus/tools/tsr/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a49d5c923f0669f7d643c9aa5187aa5cca61a6f1 --- /dev/null +++ b/evalplus/tools/tsr/README.md @@ -0,0 +1,48 @@ +# Test-suite Reduction + +## Preperation Work + +As test-suite reduction relies on the results of evaluation, make sure that you've run the evaluation script and an `eval_results.json` has been generated for each model under test. + +Use the following command to install necessary dependencies: + +```bash +# in $EVALPLUS_ROOT +pip install -r tools/tsr/requirements.txt +``` + +## Usage + +```bash +python3 run.py \ + --dataset DATASET \ + --sample_eval_dir SAMPLE_DIR \ + --model MODEL \ + [--report_dir REPORT_DIR] + +# Example +python3 run.py --dataset humaneval --sample_eval_dir $HOME/HumanEval --model ALL +``` + +Parameter descriptions: +* `--dataset`: currently, `humaneval` and `mbpp` are supported. +* `--sample_eval_dir` is the directory containing all the LLM evaluation results. We require the directory be structured as + ```bash + SAMPLE_EVAL_DIR + ├── LLM_1 + │ ├── ... + │   └── eval_results.json + ├── LLM_2 + │ ├── ... + ├── ... + ``` +* `--report_dir` is the directory where we store intermediate files, pass@k results, and reduced dataset. If not specified, `REPORT_DIR=./tsr_info` by default. +* If `MODEL` is a specific LLM name, the cross-validation results will be generated in `REPORT_DIR`; if `MODEL == ALL`, a reduced dataset will be generated in `REPORT_DIR`. + +## Known Issues + +If you find the program stuck at the mutant generation step, try removing the line +```python +assert len(completion_id) == len(problems), "Missing problems in samples" +``` +in `evalplus/evaluate.py`. diff --git a/evalplus/tools/tsr/__init__.py b/evalplus/tools/tsr/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..459b8da7fde5c5582270b05451fcde1c635ecf3d --- /dev/null +++ b/evalplus/tools/tsr/__init__.py @@ -0,0 +1,3 @@ +from pathlib import Path + +tsr_base_dir = Path(__file__).parent diff --git a/evalplus/tools/tsr/coverage_init.py b/evalplus/tools/tsr/coverage_init.py new file mode 100644 index 0000000000000000000000000000000000000000..352c713c998a53d6dd90729a8d738d3b40a01cf6 --- /dev/null +++ b/evalplus/tools/tsr/coverage_init.py @@ -0,0 +1,115 @@ +import os +import pickle +import sys +from importlib import import_module +from io import StringIO +from typing import Any, Dict, List + +import coverage +from rich.progress import track + +from evalplus.eval.utils import swallow_io +from tools.tsr.utils import get_problems, get_task_ids, to_path + + +class Capturing(list): + def __enter__(self): + self._stdout = sys.stdout + sys.stdout = self._stringio = StringIO() + return self + + def __exit__(self, *args): + self.extend(self._stringio.getvalue().splitlines()) + del self._stringio + sys.stdout = self._stdout + + +def parse_lcov(outputs: List[str]): + switch, extracted_outputs = False, [] + for line in outputs: + if switch == False and "tmp_src" in line: + switch = True + if switch == True and "end_of_record" in line: + switch = False + if switch: + extracted_outputs.append(line) + + branch, branch_covered = [], [] + for line in extracted_outputs: + if line.startswith("BRDA"): + # BRDA format: BR:,,, + lineno, blockno, branchno, taken = line[5:].split(",") + branch_sig = f"BR:{lineno},{blockno},{branchno}" + branch.append(branch_sig) + if taken not in ["0", "-"]: + branch_covered.append(branch_sig) + per = 1.0 if len(branch) == 0 else len(branch_covered) / len(branch) + return per, branch, branch_covered + + +def test_code_coverage( + identifier: str, code: str, inputs: List[List[Any]], entry_point: str +): + module_name = f"tmp_src_{identifier}" + with open(f"{module_name}.py", "w") as f: + f.write(code) + + mod = import_module(module_name) + func = getattr(mod, entry_point, None) + assert func != None, f"entry_point = {entry_point} not exist, code: {code}" + + cov = coverage.Coverage(branch=True) + cov.start() + with swallow_io(): + for input_list in inputs: + func(*input_list) + cov.stop() + with Capturing() as outputs: + cov.lcov_report(outfile="-") + + ret = parse_lcov(outputs) + + os.remove(f"{module_name}.py") + return ret + + +def collect_coverage_info(coverage_dir: str, dataset: str) -> Dict[str, Dict[str, Any]]: + os.makedirs(coverage_dir, exist_ok=True) + problems = get_problems(dataset) + task_ids = get_task_ids(dataset) + coverage_info = {task_id: {} for task_id in task_ids} + for task_id in track(task_ids, description="Testing gt coverage..."): + coverage_cache_path = os.path.join(coverage_dir, f"{to_path(task_id)}.pkl") + if os.path.isfile(coverage_cache_path): + with open(coverage_cache_path, "rb") as f: + coverage_info[task_id] = pickle.load(f) + continue + groundtruth_code = ( + problems[task_id]["prompt"] + problems[task_id]["canonical_solution"] + ) + plus_tests = problems[task_id]["plus_input"] + entry_point = problems[task_id]["entry_point"] + for i, plus_test in enumerate(plus_tests): + per, branch, branch_covered = test_code_coverage( + to_path(task_id), groundtruth_code, [plus_test], entry_point + ) + test_id = f"plus_{i}" + coverage_info[task_id].setdefault(test_id, []).extend( + [(br, "gt") for br in branch_covered] + ) + with open(coverage_cache_path, "wb") as f: + pickle.dump(coverage_info[task_id], f) + + return coverage_info + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--dataset", type=str, choices=["humaneval", "mbpp"]) + parser.add_argument("--report_dir", required=True, type=str) + args = parser.parse_args() + + coverage_dir = os.path.join(args.report_dir, "coverage_cache") + collect_coverage_info(coverage_dir, args.dataset) diff --git a/evalplus/tools/tsr/minimization.py b/evalplus/tools/tsr/minimization.py new file mode 100644 index 0000000000000000000000000000000000000000..713f79aaf26b0250806bcb1bbfe92bfc8f159840 --- /dev/null +++ b/evalplus/tools/tsr/minimization.py @@ -0,0 +1,248 @@ +import argparse +import json +import os +import pickle +from concurrent.futures import ProcessPoolExecutor, as_completed +from copy import deepcopy +from typing import Any, Dict, List, Optional, Tuple + +from rich.progress import track + +from evalplus.data import write_jsonl +from tools.tsr.coverage_init import collect_coverage_info +from tools.tsr.mutation_init import collect_mutation_info +from tools.tsr.sample_init import collect_sample_info +from tools.tsr.utils import get_problems, get_task_ids, to_path + + +def global_util_init(dataset: str): + global problems + global task_ids + global problem_count + problems = get_problems(dataset) + task_ids = get_task_ids(dataset) + problem_count = len(problems) + + +########################### +# Greedy Min Set Covering # +########################### + + +def merge_set_cover(*args) -> Dict[str, List[str]]: + merged_set_cover = {task_id: [] for task_id in task_ids} + for set_cover_dict in args: + for task_id, plus_tests in set_cover_dict.items(): + for plus_test in plus_tests: + if plus_test not in merged_set_cover[task_id]: + merged_set_cover[task_id].append(plus_test) + return merged_set_cover + + +def greedy_cover( + task_id: str, tests: Dict[str, List[Any]], exclude_model: str +) -> Tuple[str, List[str]]: + q, U = [], set() + for test_name, test_cover in tests.items(): + cover_set = set() + for model_path, i_code in test_cover: + if exclude_model not in model_path: + cover_set.add((model_path, i_code)) + q.append((test_name, cover_set)) + U = U.union(cover_set) + # Greedy algorithm for min set cover + min_cover = [] + while len(U) > 0: + max_uncover_set, max_test_name = {}, "" + for test_name, cover_set in q: + if len(cover_set) > len(max_uncover_set): + max_uncover_set = cover_set + max_test_name = test_name + min_cover.append(max_test_name) + U = U - max_uncover_set + qq = [] + for test_name, cover_set in q: + new_cover_set = U.intersection(cover_set) + if len(new_cover_set) != 0: + qq.append((test_name, new_cover_set)) + q = qq + return task_id, min_cover + + +def parallel_greedy_cover( + info_dict: Optional[Dict[str, Dict[str, List[Any]]]], + exclude_model: str, + type: str, + **kwargs, +) -> Dict[str, List[str]]: + plus_tests = {task_id: [] for task_id in task_ids} + + with ProcessPoolExecutor(max_workers=32) as executor: + futures = [] + for task_id in task_ids: + if type == "sample": + path_task_id = to_path(task_id) + sample_dir = kwargs["sample_dir"] + with open(os.path.join(sample_dir, f"{path_task_id}.pkl"), "rb") as f: + td = pickle.load(f) + args = (task_id, td, exclude_model) + else: + args = (task_id, info_dict[task_id], exclude_model) + futures.append(executor.submit(greedy_cover, *args)) + for future in track(as_completed(futures), f"min set cover :: {type}"): + task_id, min_cover = future.result() + plus_tests[task_id] = min_cover + + return plus_tests + + +##################### +# Collect Set Cover # +##################### + + +def get_coverage_set_cover( + coverage_dir: str, exclude_model: str, dataset: str +) -> Dict[str, List[str]]: + coverage_info_dict = collect_coverage_info(coverage_dir, dataset) + return parallel_greedy_cover(coverage_info_dict, exclude_model, "coverage") + + +def get_mutation_set_cover( + mutation_dir: str, exclude_model: str, dataset: str +) -> Dict[str, List[str]]: + mutation_info_dict = collect_mutation_info( + os.path.join(mutation_dir, "eval_results.json"), dataset + ) + return parallel_greedy_cover(mutation_info_dict, exclude_model, "mutation") + + +def get_sample_set_cover( + sample_dir: str, sample_eval_dir: str, exclude_model: str, dataset: str +) -> Dict[str, List[str]]: + collect_sample_info(sample_dir, sample_eval_dir, dataset) + return parallel_greedy_cover(None, exclude_model, "sample", sample_dir=sample_dir) + + +################# +# pass@1 greedy # +################# + + +def compute_avg_test(set_cover_info: Dict[str, List[str]]) -> float: + sum_tests = sum( + len(problems[task_id]["base_input"]) + len(set_cover_info[task_id]) + for task_id in task_ids + ) + return sum_tests / problem_count + + +def gen_report(set_cover_info: Dict[str, List[str]], sample_eval_dir: str, model: str): + tsr_dict = {"ntests": compute_avg_test(set_cover_info), "pass@1": 0} + model_path = os.path.join(sample_eval_dir, f"{model}_temp_0.0", "eval_results.json") + with open(model_path, "r") as f: + mdict = json.load(f) + correct_cnt = 0 + for task_id in task_ids: + legacy_task_id = task_id + if legacy_task_id not in mdict["eval"]: + legacy_task_id = legacy_task_id.replace("/", "_") + if mdict["eval"][legacy_task_id]["base"][0][0] != "success": + continue + correct = True + for plus_id in set_cover_info[task_id]: + index = int(plus_id.split("_")[-1]) + if mdict["eval"][legacy_task_id]["plus"][0][1][index] == False: + correct = False + break + if correct: + correct_cnt += 1 + tsr_dict["pass@1"] = correct_cnt / problem_count + return tsr_dict + + +def dump_humaneval_plus_mini(set_cover_info: Dict[str, List[str]], mini_path: str): + new_problems = [] + for task_id in task_ids: + otask = problems[task_id] + task = { + "task_id": task_id, + "prompt": otask["prompt"], + "contract": otask["contract"], + "canonical_solution": otask["canonical_solution"], + "entry_point": otask["entry_point"], + "base_input": otask["base_input"], + "plus_input": [], + "atol": otask["atol"], + } + for plus_test in set_cover_info[task_id]: + index = int(plus_test.split("_")[-1]) + task["plus_input"].append(otask["plus_input"][index]) + new_problems.append(deepcopy(task)) + write_jsonl(os.path.join(mini_path, "HumanEvalPlus-Mini.jsonl"), new_problems) + + +def main(flags): + coverage_dir = os.path.join(flags.report_dir, "coverage_cache") + mutation_dir = os.path.join(flags.report_dir, "mutation_cache") + sample_dir = os.path.join(flags.report_dir, "sample_cache") + os.makedirs(flags.report_dir, exist_ok=True) + + exclude_model: str = flags.model + if exclude_model.endswith("b"): # format: model_name + parameter size + exclude_model = "".join(exclude_model.split("-")[:-1]) + + coverage_set_cover = get_coverage_set_cover( + coverage_dir, exclude_model, flags.dataset + ) + mutation_set_cover = get_mutation_set_cover( + mutation_dir, exclude_model, flags.dataset + ) + sample_set_cover = get_sample_set_cover( + sample_dir, flags.sample_eval_dir, exclude_model, flags.dataset + ) + merged_set_cover = merge_set_cover( + coverage_set_cover, mutation_set_cover, sample_set_cover + ) + + if flags.model != "ALL": + final_report = dict() + # Stage 1: Coverage min set cover + final_report["coverage"] = gen_report( + coverage_set_cover, flags.sample_eval_dir, flags.model + ) + # Stage 2: Mutation min set cover + final_report["mutation"] = gen_report( + mutation_set_cover, flags.sample_eval_dir, flags.model + ) + # Stage 3: Sampling min set cover + final_report["sample"] = gen_report( + sample_set_cover, flags.sample_eval_dir, flags.model + ) + # Stage 4: All + final_report["full"] = gen_report( + merged_set_cover, flags.sample_eval_dir, flags.model + ) + with open( + os.path.join(flags.report_dir, f"report_{flags.model}.json"), "w" + ) as f: + json.dump(final_report, f, indent=4) + else: + dump_humaneval_plus_mini(merged_set_cover, flags.mini_path) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--model", required=True, type=str, help="Model for testing") + parser.add_argument("--dataset", type=str, choices=["humaneval", "mbpp"]) + parser.add_argument( + "--report_dir", type=str, help="Path to JSON report and cache files" + ) + parser.add_argument( + "--sample_eval_dir", type=str, help="Path to sample evaluation files" + ) + parser.add_argument("--mini_path", type=str, help="Path to Mini Dataset") + args = parser.parse_args() + + global_util_init(args.dataset) + main(args) diff --git a/evalplus/tools/tsr/mutation_init.py b/evalplus/tools/tsr/mutation_init.py new file mode 100644 index 0000000000000000000000000000000000000000..0b992bd19872415ca099ce825b71926b017e0e34 --- /dev/null +++ b/evalplus/tools/tsr/mutation_init.py @@ -0,0 +1,112 @@ +import argparse +import json +import os +from typing import Any, Dict, List + +from rich.progress import track + +from evalplus.eval.utils import swallow_io +from evalplus.evaluate import evaluate +from tools.tsr.utils import ( + clean, + execute_cmd, + get_cmd_output, + get_problems, + get_task_ids, + to_path, +) + + +def prepare_mutants(mutation_dir: str, dataset: str): + pwd = os.getcwd() + task_ids = get_task_ids(dataset) + problems = get_problems(dataset) + os.makedirs(mutation_dir, exist_ok=True) + for task_id in track(task_ids, "Generating mutants"): + task_dir = os.path.join(mutation_dir, to_path(task_id)) + os.makedirs(task_dir, exist_ok=True) + if any(map(lambda filename: filename.startswith("m"), os.listdir(task_dir))): + # already have mutants + continue + # Make groundtruth + groundtruth_code = ( + problems[task_id]["prompt"] + problems[task_id]["canonical_solution"] + ) + with open(os.path.join(task_dir, "gt.py"), "w") as f: + f.write(groundtruth_code) + # Make dummy pytest + with open(os.path.join(task_dir, "test_dummy.py"), "w") as f: + f.write("def test_dummy():\n pass") + # Use mutmut to generate mutants + os.chdir(task_dir) + clean(".mutmut-cache") + execute_cmd(["mutmut run", "--paths-to-mutate=gt.py", "1>/dev/null"]) + try: + # Collect metainfo + total_mutants = int( + get_cmd_output(["mutmut", "results"]).split("\n")[-2].split("-")[-1] + ) + except: + total_mutants = 0 + # Dump mutants + for i in range(1, total_mutants + 1): + execute_cmd(["cp", "gt.py", "gt_copy.py"]) + execute_cmd(["mutmut", "apply", str(i)]) + execute_cmd(["mv", "gt.py", f"m{i}.py"]) + execute_cmd(["mv", "gt_copy.py", "gt.py"]) + # Remove gt and dummy pytest + execute_cmd(["rm", "gt.py"]) + execute_cmd(["rm", "test_dummy.py"]) + clean(".mutmut-cache") + os.chdir(pwd) + + +def mutants_eval(mutation_dir: str, dataset: str): + args = argparse.Namespace( + dataset=dataset, + samples=mutation_dir, + base_only=False, + parallel=None, + i_just_wanna_run=False, + test_details=True, + min_time_limit=0.2, + gt_time_limit_factor=4.0, + mini=False, + ) + print("Evaluating mutants... ", end="", flush=True) + with swallow_io(): + evaluate(args) + print("Done") + + +def collect_mutation_info( + eval_path: str, dataset: str +) -> Dict[str, Dict[str, List[Any]]]: + mutation_info = {task_id: {} for task_id in get_task_ids(dataset)} + assert os.path.isfile( + eval_path + ), f"mutation testing result file {eval_path} missing!" + eval_res = json.load(open(eval_path, "r"))["eval"] + for task_id, v in eval_res.items(): + for i_code, (status, res_list) in enumerate(v["plus"]): + if status == "success": + continue + for i_test, res in enumerate(res_list): + test_id = f"plus_{i_test}" + if res == False: + mutation_info[task_id].setdefault(test_id, []).append( + ("mutant", i_code) + ) + return mutation_info + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--dataset", type=str, choices=["humaneval", "mbpp"]) + parser.add_argument("--report_dir", required=True, type=str) + args = parser.parse_args() + + mutation_dir = os.path.join(args.report_dir, "mutation_cache") + prepare_mutants(mutation_dir, args.dataset) + mutants_eval(mutation_dir, args.dataset) + collect_mutation_info(os.path.join(mutation_dir, "eval_results.json"), args.dataset) diff --git a/evalplus/tools/tsr/requirements.txt b/evalplus/tools/tsr/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..82e718c605cc8acf4c289d1709bec41fbc316de4 --- /dev/null +++ b/evalplus/tools/tsr/requirements.txt @@ -0,0 +1,3 @@ +rich +coverage +mutmut==2.1.0 diff --git a/evalplus/tools/tsr/run.py b/evalplus/tools/tsr/run.py new file mode 100644 index 0000000000000000000000000000000000000000..f76202da75ba8d9baec70b6cdfd73f9146ad50a6 --- /dev/null +++ b/evalplus/tools/tsr/run.py @@ -0,0 +1,72 @@ +import os + +from tools.tsr import tsr_base_dir +from tools.tsr.utils import execute_cmd + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, help="Model for testing") + parser.add_argument("--dataset", type=str, choices=["humaneval", "mbpp"]) + parser.add_argument( + "--report_dir", + type=str, + help="Path to JSON report and cache files", + default=os.path.join(tsr_base_dir, "tsr_info"), + ) + parser.add_argument( + "--sample_eval_dir", + type=str, + required=True, + help="Path to sample evaluation files", + ) + args = parser.parse_args() + + os.makedirs(args.report_dir, exist_ok=True) + execute_cmd( + [ + "python3", + os.path.join(tsr_base_dir, "mutation_init.py"), + "--dataset", + args.dataset, + "--report_dir", + args.report_dir, + ] + ) + execute_cmd( + [ + "python3", + os.path.join(tsr_base_dir, "coverage_init.py"), + "--dataset", + args.dataset, + "--report_dir", + args.report_dir, + ] + ) + execute_cmd( + [ + "python3", + os.path.join(tsr_base_dir, "sample_init.py"), + "--report_dir", + args.report_dir, + "--sample_eval_dir", + args.sample_eval_dir, + ] + ) + execute_cmd( + [ + "python3", + os.path.join(tsr_base_dir, "minimization.py"), + "--dataset", + args.dataset, + "--model", + args.model, + "--report_dir", + args.report_dir, + "--sample_eval_dir", + args.sample_eval_dir, + "--mini_path", + args.report_dir, + ] + ) diff --git a/evalplus/tools/tsr/sample_init.py b/evalplus/tools/tsr/sample_init.py new file mode 100644 index 0000000000000000000000000000000000000000..5765e9ec6772a9be7eea2642c0b3c7c00ac78b5d --- /dev/null +++ b/evalplus/tools/tsr/sample_init.py @@ -0,0 +1,57 @@ +import json +import os +import pickle + +from rich.progress import track + +from tools.tsr.utils import get_task_ids, to_path + + +def collect_sample_info(sample_dir: str, sample_eval_dir: str, dataset: str): + if os.path.exists(sample_dir) and len(os.listdir(sample_dir)) > 0: + # cache file exists + return + task_ids = get_task_ids(dataset) + assert os.path.exists(sample_eval_dir), "sample evaluation files missing" + os.makedirs(sample_dir, exist_ok=True) + kill_info = {task_id: {} for task_id in task_ids} + model_paths = os.listdir(sample_eval_dir) + for model_path in track(model_paths, description="Collecting sets..."): + if not model_path[-1].isdigit(): + continue + eval_json_path = os.path.join(sample_eval_dir, model_path, "eval_results.json") + if not os.path.exists(eval_json_path): + continue + with open(eval_json_path, "r") as f: + res = json.load(f)["eval"] + for task_id, v in res.items(): + if task_id not in task_ids: + continue + for i_code, (status, res_list) in enumerate(v["plus"]): + if status == "success": + continue + for i_test, res in enumerate(res_list): + test_id = f"plus_{i_test}" + if res == False: + if "_" in task_id: + task_id = task_id.replace("_", "/") + kill_info[task_id].setdefault(test_id, []).append( + (model_path, i_code) + ) + for task_id in task_ids: + path_task_id = to_path(task_id) + with open(os.path.join(sample_dir, f"{path_task_id}.pkl"), "wb") as f: + pickle.dump(kill_info[task_id], f) + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--report_dir", required=True, type=str) + parser.add_argument("--dataset", type=str, choices=["humaneval", "mbpp"]) + parser.add_argument("--sample_eval_dir", required=True, type=str) + args = parser.parse_args() + + sample_dir = os.path.join(args.report_dir, "sample_cache") + collect_sample_info(sample_dir, args.sample_eval_dir, args.dataset) diff --git a/evalplus/tools/tsr/utils.py b/evalplus/tools/tsr/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..b943a2fea18b33a4a638341dfcf856c2beb0d358 --- /dev/null +++ b/evalplus/tools/tsr/utils.py @@ -0,0 +1,38 @@ +import os +import subprocess +from typing import List + +from evalplus.data import get_human_eval_plus, get_mbpp_plus + +HUMANEVAL_COUNT = 164 +MBPP_COUNT = 399 +humaneval_problems = get_human_eval_plus() +mbpp_problems = get_mbpp_plus() + +humaneval_task_ids = [f"HumanEval/{i}" for i in range(HUMANEVAL_COUNT)] + + +def get_problems(dataset: str): + return globals()[f"{dataset}_problems"] + + +def get_task_ids(dataset: str) -> List[str]: + problems = globals()[f"{dataset}_problems"] + return list(problems.keys()) + + +def to_path(task_id: str) -> str: + return task_id.replace("/", "_") + + +def clean(file_path: str): + if os.path.exists(file_path): + os.remove(file_path) + + +def execute_cmd(cmd: list): + os.system(" ".join(cmd)) + + +def get_cmd_output(cmd_list: list) -> str: + return subprocess.run(cmd_list, stdout=subprocess.PIPE, check=True).stdout.decode() diff --git a/evalplus/tools/viz_passrate.py b/evalplus/tools/viz_passrate.py new file mode 100644 index 0000000000000000000000000000000000000000..8d380dad62f2fd5bf1fbd68d84e171ba021061e2 --- /dev/null +++ b/evalplus/tools/viz_passrate.py @@ -0,0 +1,203 @@ +import json +import os +import pickle +from os import PathLike +from typing import List + +import matplotlib.pyplot as plt +import numpy as np +from tqdm import tqdm + +from evalplus.data import get_human_eval_plus +from evalplus.eval import estimate_pass_at_k + +SMALL_SIZE = 10 +MEDIUM_SIZE = 14 +BIGGER_SIZE = 18 + +plt.rc("font", size=SMALL_SIZE) # controls default text sizes +plt.rc("axes", titlesize=MEDIUM_SIZE) # fontsize of the axes title +plt.rc("axes", labelsize=MEDIUM_SIZE) # fontsize of the x and y labels +plt.rc("xtick", labelsize=MEDIUM_SIZE) # fontsize of the tick labels +plt.rc("ytick", labelsize=MEDIUM_SIZE) # fontsize of the tick labels +plt.rc("legend", fontsize=MEDIUM_SIZE - 1) # legend fontsize +plt.rc("figure", titlesize=BIGGER_SIZE) # fontsize of the figure title + +plt.rc("text", usetex=True) + +SUCCESS = "success" + + +def passk_rel_drop(task2bvs_old, task2bvs_new): + # old_rate: + # dim0: problems + # dim1: each experiment (model@temperature) + # dim2: pass/fail booleans for each sample + # this fn computes the relative drop in pass@k averaged over experiments + + passk_old = {} + passk_new = {} + # sample size => k => List[pass@k] + + for exp_i in range(len(task2bvs_old[0])): + ntotal = [] + npass_old = [] + npass_new = [] + nsamples = None + for task_i in range(len(task2bvs_old)): + bv_old = task2bvs_old[task_i][exp_i] + bv_new = task2bvs_new[task_i][exp_i] + ntotal.append(len(bv_old)) + npass_old.append(bv_old.sum()) + npass_new.append(bv_new.sum()) + if nsamples is None: + nsamples = len(bv_old) + assert len(bv_old) == len(bv_new) == nsamples + + d_old = passk_old.setdefault(nsamples, {}) + d_new = passk_new.setdefault(nsamples, {}) + for k in [1, 10, 100]: + if nsamples >= k: + pass_at_k_old = estimate_pass_at_k(ntotal, npass_old, k).mean() * 100 + pass_at_k_new = estimate_pass_at_k(ntotal, npass_new, k).mean() * 100 + d_old.setdefault(k, []).append(pass_at_k_old) + d_new.setdefault(k, []).append(pass_at_k_new) + + for nsamples in passk_old: + print("=====================================") + print(f"{nsamples = }") + do = passk_old[nsamples] + dn = passk_new[nsamples] + drops = [] + for k in [1, 10, 100]: + if k in do: + pko = np.array(do[k]) + pkn = np.array(dn[k]) + drop = 100 * (pko - pkn) / pko + drops.append(drop) + print( + f"pass@{k}: \t{pko.mean():.1f}% -> {pkn.mean():.1f}% (drop {drop.mean():.1f}%)" + ) + drops = np.array(drops) + print(f"+++ {drops.mean() = :.1f}%") + print(f"+++ {drops.max() = :.1f}%") + print("=====================================") + + +def get_data(paths: List[PathLike]): + task2bvs_old = None + task2bvs_new = None + + for path in tqdm(paths): # each experiment + res = json.load(open(path, "r"))["eval"] + ntask = len(res) + + assert ntask == 164 + + if task2bvs_old is None and task2bvs_new is None: + task2bvs_old = [[] for _ in range(ntask)] + task2bvs_new = [[] for _ in range(ntask)] + # i-th => task-i pass rate for an experiment + + for i, v in enumerate(res.values()): # each task + base = v["base"] + plus = v["plus"] + bbv = np.array([s == SUCCESS for s, _ in base]) + pbv = np.array([s == SUCCESS for s, _ in plus]) & bbv + assert bbv.mean() >= pbv.mean() + + task2bvs_old[i].append(bbv) + task2bvs_new[i].append(pbv) + + assert len(task2bvs_old) == len(task2bvs_new) + return task2bvs_old, task2bvs_new + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--root", type=str, default="/JawTitan/EvalPlus/humaneval") + args = parser.parse_args() + + paths = [] + for path in os.listdir(args.root): + eval_json_path = os.path.join(args.root, path, "eval_results.json") + if not os.path.isfile(eval_json_path) or not path[-1].isdigit(): + print(f"skip {path}") + continue + paths.append(eval_json_path) + + CACHE_PATH = "passrate.pkl" + if os.path.isfile(CACHE_PATH): # use cache + task2bvs_old, task2bvs_new = pickle.load(open(CACHE_PATH, "rb")) + else: + task2bvs_old, task2bvs_new = get_data(paths) + pickle.dump((task2bvs_old, task2bvs_new), open(CACHE_PATH, "wb")) + + passk_rel_drop(task2bvs_old, task2bvs_new) + + rate_old = [[bv.mean() for bv in task] for task in task2bvs_old] + rate_new = [[bv.mean() for bv in task] for task in task2bvs_new] + + rate_old = 100 * np.array(rate_old).mean(axis=1) + rate_new = 100 * np.array(rate_new).mean(axis=1) + + print( + f"{(rate_new != rate_old).sum()} out of {len(rate_new)} tasks have dropped pass rate" + ) + + ntask = len(rate_old) + + # sort by old pass rate + # numpy argsort + indices = np.array(rate_old).argsort() + # find unsolved tasks. i.e., indices where rate_old == 0 + unsolved = np.where(np.array(rate_old) == 0)[0] + print("Unsolvable: ", unsolved) + # sort indices according to the differences between rate_old and rate_new + diff = np.array(rate_old) - np.array(rate_new) + diff_indices = diff.argsort() + + tasks = get_human_eval_plus() + for i in reversed(diff_indices[-15:]): + print( + f"#{i} {tasks[f'HumanEval/{i}']['entry_point']} drops {diff[i] :.1f} ~ {100 * diff[i] / rate_old[i]:.1f}%:" + f" {rate_old[i]:.1f} -> {rate_new[i]:.1f}" + ) + + rate_old = np.array(rate_old)[indices] + rate_new = np.array(rate_new)[indices] + # rate_old, rate_new = zip(*sorted(zip(rate_old, rate_new), key=lambda x: x[0])) + + # making a barplot + x = np.arange(ntask) + width = 1 # the width of the bars + + fig, ax = plt.subplots(figsize=(9, 3)) + HUMANEVAL = r"\textsc{HumanEval}" + HUMANEVAL_PLUS = r"\textsc{HumanEval\textsuperscript{+}}" + rects1 = ax.bar(x, rate_old, color="coral", label=HUMANEVAL, alpha=0.5) + rects2 = ax.bar(x, rate_new, color="firebrick", label=HUMANEVAL_PLUS, alpha=0.6) + + # Add some text for labels, title and custom x-axis tick labels, etc. + ax.set_ylabel("Average Pass Rate (\%)") + ax.set_xlabel(f"Problems (Sorted by {HUMANEVAL} pass rate)") + + # turn off xticks + ax.set_xticks([]) + ax.set_xticklabels([]) + # tight x ranges + ax.set_xlim(-0.5, ntask - 0.5) + + # x grid + ax.grid(linestyle="--", linewidth=1, alpha=0.8) + + # log scale + ax.set_yscale("log") + + ax.legend() + fig.tight_layout() + + plt.savefig("passrate.pdf", bbox_inches="tight") + plt.savefig("passrate.png", bbox_inches="tight") diff --git a/evalplus/tools/zip_solutions.py b/evalplus/tools/zip_solutions.py new file mode 100644 index 0000000000000000000000000000000000000000..d52566ae445a820aa5341b6c28604dcd44ba09e9 --- /dev/null +++ b/evalplus/tools/zip_solutions.py @@ -0,0 +1,48 @@ +if __name__ == "__main__": + import argparse + import os + import re + from zipfile import ZipFile + + parser = argparse.ArgumentParser( + description="Package and zip LLM provided solutions" + ) + parser.add_argument("--root", type=str, help="Root directory of solutions") + parser.add_argument( + "--output", type=str, required=True, help="Output directory of zip files" + ) + args = parser.parse_args() + + # [model_name]_temp_[temp] (without -sanitized) + directory_pattern = re.compile(r"(.*)_temp_(?:\d*\.?\d+)$") + + assert os.path.isdir(args.root) + os.makedirs(args.output, exist_ok=True) + + for directory in os.listdir(args.root): + match = directory_pattern.match(directory) + if not match: + continue + directory_name = match.group(0) + full_dir_path = os.path.join(args.root, directory_name) + assert os.path.isdir(full_dir_path) + print(f"Processing {full_dir_path}") + + zip_file_path = os.path.join(args.output, f"{directory_name}.zip") + if os.path.exists(zip_file_path): + print(f"Skipping -- {zip_file_path} already exists") + continue + + with ZipFile(zip_file_path, "w") as zip_file: + # directory_name/${TASK_ID}/${SAMPLE_ID}.py + for task_id in os.listdir(full_dir_path): + task_dir = os.path.join(full_dir_path, task_id) + if not os.path.isdir(task_dir): + continue + for sample_id in os.listdir(task_dir): + sample_file = os.path.join(task_dir, sample_id) + if not sample_file.endswith(".py"): + continue + zip_file.write( + sample_file, os.path.join(directory_name, task_id, sample_id) + ) diff --git a/extractscore.py b/extractscore.py new file mode 100644 index 0000000000000000000000000000000000000000..53ba217434fc85919c919b1f6c1f722522d2198e --- /dev/null +++ b/extractscore.py @@ -0,0 +1,74 @@ +import re +import json +from tqdm import tqdm +import os +#names = os.listdir("processed_data") +f = open("/home/aiscuser/fhw/data/llama_instruct_final.json", "r+") +fw = open("/home/aiscuser/fhw/data/llama_instruct_selected.json", 'w+') +""" +lines = [] +for name in names: + if "llama_python_scored" in name: + f = open(f"processed_data/{name}", 'r+') + lines.extend(f.readlines()) +""" +lines = f.readlines() +for line in tqdm(lines): + d = json.loads(line) + instruction = d["instruction"] + judgement = d["quality_judgement"] + extracted = re.findall(r"\[\[(\d*\.\d+|\d+)/10\]\]", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + fw.write(json.dumps(d)+"\n") + continue + extracted = re.findall(r"\[\[(\d*\.\d+|\d+)\]\]", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + fw.write(json.dumps(d)+"\n") + continue + extracted = re.findall(r"\*\*Score: \[(\d*\.\d+|\d+)/10\]\*\*", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + fw.write(json.dumps(d)+"\n") + continue + extracted = re.findall(r"\*\*Score: \[(\d*\.\d+|\d+)\]\*\*", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + fw.write(json.dumps(d)+"\n") + continue + extracted = re.findall(r"\*\*Score: (\d*\.\d+|\d+)/10\*\*", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + fw.write(json.dumps(d)+"\n") + continue + extracted = re.findall(r"\*\*Score: (\d*\.\d+|\d+)\*\*", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + fw.write(json.dumps(d)+"\n") + continue + extracted = re.findall(r"\*\*Score:\*\* (\d*\.\d+|\d+)/10", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + fw.write(json.dumps(d)+"\n") + continue + extracted = re.findall(r"\*\*Score:\*\* (\d*\.\d+|\d+)", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + fw.write(json.dumps(d)+"\n") + continue + extracted = re.findall(r"Score(.*?)", judgement, re.S) + if len(extracted) > 0: + judgement = extracted[-1] + extracted = re.findall(r"\d*\.\d+|\d+", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[-1]) + fw.write(json.dumps(d)+"\n") + continue + extracted = re.findall(r"\d*\.\d+|\d+", judgement, re.S) + if len(extracted) > 0: + d["score"] = float(extracted[0]) + fw.write(json.dumps(d)+"\n") + continue + #print("###########################################") + diff --git a/fhw_deduplication.py b/fhw_deduplication.py new file mode 100644 index 0000000000000000000000000000000000000000..f54af788929434e90cdbddea3ee2be7d09282897 --- /dev/null +++ b/fhw_deduplication.py @@ -0,0 +1,37 @@ +import json +from tqdm import tqdm +import datasets +from datasketch import MinHashLSH, MinHash + +idx = 0 +lsh = MinHashLSH(threshold=0.7, num_perm=128) +f = open("/home/aiscuser/fhw/data/qwq_python_filtered.json",'r+') +fw = open("/home/aiscuser/fhw/data/qwq_python_deduplicated.json",'w+') +lines = f.readlines() +for line in tqdm(lines): + d = json.loads(line) + minhash = MinHash(num_perm=128) + for word in d['instruction'].replace('.','').replace('\n',' ').split(): + minhash.update(word.encode('utf-8')) + lsh.insert(str(idx), minhash) + idx = idx + 1 + + +idx = 0 +t = 0 +for line in tqdm(lines): + d = json.loads(line) + minhash = MinHash(num_perm=128) + for word in d['instruction'].replace('.','').replace('\n',' ').split(): + minhash.update(word.encode('utf-8')) + result = lsh.query(minhash) + if len(result) == 1 or all(int(sim_idx)<= idx for sim_idx in result): + t = t + 1 + fw.write(line) + idx = idx + 1 + +print(t) +print(idx) + + + diff --git a/filter.py b/filter.py new file mode 100644 index 0000000000000000000000000000000000000000..d2eb81afbac30de0b0c85f895b93ea4462cbb81d --- /dev/null +++ b/filter.py @@ -0,0 +1,68 @@ +import os +import json +from tqdm import tqdm +names = os.listdir("/home/aiscuser/fhw/data") +fw = open(f"/home/aiscuser/fhw/data/qwq_python_filtered.json",'w+') +#print(len(filenames)) +for name in names: + if "QwQ-32B-Preview" not in name: + continue + f = open(f"/home/aiscuser/fhw/data/{name}",'r+') + lines = f.readlines() + for line in tqdm(lines): + d = json.loads(line) + d["instruction"] = d["instruction"].strip('1.').strip(' ').strip('\n').strip('\t') + if len(d["instruction"].split())<200: + fw.write(json.dumps(d)+'\n') + #print(d["instruction"]) + #print("########################################################################") + continue + else: + end = d["instruction"].rfind('?') + if end != -1: + d["instruction"] = d["instruction"][:end+1].strip(' ').strip('\n').strip('\t') + if d["instruction"][-1]=='?': + fw.write(json.dumps(d)+'\n') + #print(d["instruction"]) + continue + else: + sign = 0 + ts = d["instruction"].split('\n') + ts_len = len(ts) + for i in range(ts_len): + if ts[ts_len-1-i].find("How can")!=-1 or ts[ts_len-1-i].find("how can")!=-1 or ts[ts_len-1-i].find("Can you")!=-1 or ts[ts_len-1-i].find("can you")!=-1 or ts[ts_len-1-i].startswith("Please") or ts[ts_len-1-i].startswith("please"): + #print(filename) + sign = 1 + d["instruction"] = '\n'.join(ts[0:ts_len-i]).strip(' ').strip('\n') + fw.write(json.dumps(d)+'\n') + #print(d["instruction"]) + break + if sign == 1: + continue + else: + top_num = ts_len if ts_len < 5 else 5 + for i in range(top_num): + if ts[i].find("Provide")!=-1 or ts[i].find("provide")!=-1 or ts[i].find("Ensure")!=-1 or ts[i].find("ensure")!=-1 or ts[i].find("Write")!=-1 or ts[i].find("write")!=-1 or ts[i].find("Implement")!=-1 or ts[i].find("implement")!=-1 or ts[i].find("Create")!=-1 or ts[i].find("create")!=-1 or ts[i].find("Explain")!=-1 or ts[i].find("You are")!=-1 or ts[i].find("Given")!=-1 or ts[i].find("Implementing")!=-1 or ts[i].find("implementing")!=-1 or ts[i].find("Writing")!=-1 or ts[i].find("writing")!=-1 or ts[i].find("Creating")!=-1 or ts[i].find("creating")!=-1 or ts[i].find("Design")!=-1 or ts[i].find("design")!=-1 or ts[i].find("Consider")!=-1 or ts[i].find("consider")!=-1 or ts[i].find("Provide")!=-1 or ts[i].find("provide")!=-1 or ts[i].find("Calculate")!=-1 or ts[i].find("calculate")!=-1: + sign = 1 + #print(filename) + d["instruction"] = '\n'.join(ts[0:i+1]).strip(' ').strip('\n') + #print(d["instruction"]) + fw.write(json.dumps(d)+'\n') + break + if sign == 1: + continue + else: + end = d["instruction"].find('\n\nSure') + if end == -1: + end = d["instruction"].find('\n\nCertainly') + if end == -1: + end = d["instruction"].find('\n\nHere') + if end == -1: + end = d["instruction"].find('\n\nNow') + if end == -1: + #print(d["instruction"]) + #print("########################################################################") + continue + else: + d["instruction"] = d["instruction"][:end].strip(' ').strip('\n').strip('\t') + fw.write(json.dumps(d)+'\n') diff --git a/filterans.py b/filterans.py new file mode 100644 index 0000000000000000000000000000000000000000..934265cec75738bc3be3863df4c79e9a4fa14deb --- /dev/null +++ b/filterans.py @@ -0,0 +1,58 @@ +from transformers import AutoTokenizer +import argparse +import json +from tqdm import tqdm +import os + +parser = argparse.ArgumentParser() +parser.add_argument('--judgemodel', type=str,help='评判模型') +args = parser.parse_args() +names = os.listdir("/home/aiscuser/fhw/data") +all_lines=[] +modelnames = [] +for name in names: + if f"{args.judgemodel}_answerby_" not in name: + continue + else: + print(name) + f = open(f"/home/aiscuser/fhw/data/{name}", 'r+') + lines = f.readlines() + modelname = name.replace(".json","").split("_")[-1] + print(modelname) + modelnames.append(modelname) + all_lines.append(lines) + +t = 0 +good0 = [] +good1 = [] +good2 = [] +good3 = [] +good4 = [] +for line0, line1, line2, line3, line4 in tqdm(zip(all_lines[0], all_lines[1], all_lines[2], all_lines[3], all_lines[4])): + d0 = json.loads(line0) + d1 = json.loads(line1) + d2 = json.loads(line2) + d3 = json.loads(line3) + d4 = json.loads(line4) + len0 = len(d0["response"].split(" ")) + len1 = len(d1["response"].split(" ")) + len2 = len(d2["response"].split(" ")) + len3 = len(d3["response"].split(" ")) + len4 = len(d4["response"].split(" ")) + if len0<=1800 and len0>=3: + good0.append(t) + if len1<=1800 and len1>=3: + good1.append(t) + if len2<=1800 and len2>=3: + good2.append(t) + if len3<=1800 and len3>=3: + good3.append(t) + if len4<=1800 and len4>=3: + good4.append(t) + t = t + 1 + +fw = open(f"/home/aiscuser/fhw/data/{args.judgemodel}_filtered_by_answer.json","w+") +fw.write(json.dumps({modelnames[0]: good0, modelnames[1]: good1, modelnames[2]: good2, modelnames[3]: good3, modelnames[4]: good4})+"\n") + + + diff --git a/gpt.py b/gpt.py new file mode 100644 index 0000000000000000000000000000000000000000..fb57e21b49cb92932afc5765c9cb67b84ce93307 --- /dev/null +++ b/gpt.py @@ -0,0 +1,23 @@ +from cloudgpt_aoai import get_chat_completion + +test_message = "<|im_start|>system<|im_sep|>You are an AI assistant designed to provide helpful, step-by-step guidance on Python coding problems. The user will ask you a wide range of Python coding questions. Your purpose is to assist users in understanding Python coding concepts, working through Python code, and arriving at the correct Python solutions.<|im_end|>\n<|im_start|>user<|im_sep|>" +response = get_chat_completion( + engine="gpt-35-turbo-20220309", + prompt=test_message, + + # for user authentication, no extra parameters are needed + # for service principal authentication, the following parameters are needed + # client_id=None, + # client_secret=None, # use client_secret when conducting key based auth, skip it for managed identity + + temperature=1.0, + max_tokens=1000, + top_p=0.99, + n=5, + stop=['<|im_end|>', '<|im_start|>', '<|im_sep|>'] + # frequency_penalty=0, + # presence_penalty=0, + # stop=None +) + +print(response.choices[0]) diff --git a/judge.sh b/judge.sh new file mode 100644 index 0000000000000000000000000000000000000000..7e72c76f22fa3278cae4eb038582f8c26c7293af --- /dev/null +++ b/judge.sh @@ -0,0 +1,5 @@ +python battlescore.py --judgename athene --modelnames deepseekcoder llama qwen qwq +python battlescore.py --judgename deepseekcoder --modelnames athene llama qwen qwq +python battlescore.py --judgename llama --modelnames athene deepseekcoder qwen qwq +python battlescore.py --judgename qwen --modelnames athene deepseekcoder llama qwq +python battlescore.py --judgename qwq --modelnames athene deepseekcoder llama qwen diff --git a/kcenter.py b/kcenter.py new file mode 100644 index 0000000000000000000000000000000000000000..594b20e9d3f7d4aefafcfdb06b7bf860b2ae45f7 --- /dev/null +++ b/kcenter.py @@ -0,0 +1,151 @@ +""" Origin code from https://github.com/google/active-learning/blob/master/sampling_methods/kcenter_greedy.py """ + +"""Returns points that minimizes the maximum distance of any point to a center. + +Implements the k-Center-Greedy method in +Ozan Sener and Silvio Savarese. A Geometric Approach to Active Learning for +Convolutional Neural Networks. https://arxiv.org/abs/1708.00489 2017 + +Distance metric defaults to l2 distance. Features used to calculate distance +are either raw features or if a model has transform method then uses the output +of model.transform(X). + +Can be extended to a robust k centers algorithm that ignores a certain number of +outlier datapoints. Resulting centers are solution to multiple integer program. +""" + + +import numpy as np +from sklearn.metrics import pairwise_distances +import torch +from tqdm import tqdm +import abc +import argparse + +class SamplingMethod(object): + __metaclass__ = abc.ABCMeta + + @abc.abstractmethod + def __init__(self, X, y, seed, **kwargs): + self.X = X + self.y = y + self.seed = seed + + def flatten_X(self): + shape = self.X.shape + flat_X = self.X + if len(shape) > 2: + flat_X = np.reshape(self.X, (shape[0], np.product(shape[1:]))) + return flat_X + + @abc.abstractmethod + def select_batch_(self): + return + + def select_batch(self, **kwargs): + return self.select_batch_(**kwargs) + + def to_dict(self): + return None + +class kCenterGreedy(SamplingMethod): + + def __init__(self, X, y, seed, metric="euclidean"): + self.X = X + self.y = y + self.flat_X = self.flatten_X() + self.name = "kcenter" + self.features = self.flat_X + self.metric = metric + self.min_distances = None + self.n_obs = self.X.shape[0] + self.already_selected = [] + + def update_distances(self, cluster_centers, only_new=True, reset_dist=False): + """Update min distances given cluster centers. + + Args: + cluster_centers: indices of cluster centers + only_new: only calculate distance for newly selected points and update + min_distances. + rest_dist: whether to reset min_distances. + """ + + if reset_dist: + self.min_distances = None + if only_new: + cluster_centers = [ + d for d in cluster_centers if d not in self.already_selected + ] + if cluster_centers: + # Update min_distances for all examples given new cluster center. + x = self.features[cluster_centers] + dist = pairwise_distances(self.features, x, metric=self.metric) + + if self.min_distances is None: + self.min_distances = np.min(dist, axis=1).reshape(-1, 1) + else: + self.min_distances = np.minimum(self.min_distances, dist) + + def select_batch_(self, model, already_selected, N, **kwargs): + """ + Diversity promoting active learning method that greedily forms a batch + to minimize the maximum distance to a cluster center among all unlabeled + datapoints. + + Args: + model: model with scikit-like API with decision_function implemented + already_selected: index of datapoints already selected + N: batch size + + Returns: + indices of points selected to minimize distance to cluster centers + """ + + try: + # Assumes that the transform function takes in original data and not + # flattened data. + print("Getting transformed features...") + self.features = model.transform(self.X) + print("Calculating distances...") + self.update_distances(already_selected, only_new=False, reset_dist=True) + except: + print("Using flat_X as features.") + self.update_distances(already_selected, only_new=True, reset_dist=False) + + new_batch = [] + + for _ in tqdm(range(N)): + if self.already_selected is None: + # Initialize centers with a randomly selected datapoint + ind = np.random.choice(np.arange(self.n_obs)) + else: + ind = np.argmax(self.min_distances) + # New examples should not be in already selected since those points + # should have min_distance of zero to a cluster center. + assert ind not in already_selected + + self.update_distances([ind], only_new=True, reset_dist=False) + new_batch.append(ind) + print( + "Maximum distance from cluster centers is %0.2f" % max(self.min_distances) + ) + + self.already_selected = already_selected + + return new_batch +if __name__ == '__main__': + parser = argparse.ArgumentParser() + parser.add_argument('--start', type=int) + parser.add_argument("--end", type=int) + args = parser.parse_args() + embeddings = torch.load("/home/aiscuser/fhw/embeddings/qwq_ins_embeddings.pt") + f = open("/home/aiscuser/fhw/data/qwq_python_selected.json", "r+") + fw = open(f"/home/aiscuser/fhw/data/qwq_python_diverse_{args.start}_{args.end}.json", "w+") + lines = f.readlines()[args.start:args.end] + selected_nums = 10000 + nums = embeddings.shape[0] + kcg = kCenterGreedy(X=embeddings[args.start:args.end], y=None, seed=42) + batch = kcg.select_batch_(model=None, already_selected=[], N=selected_nums) + for idx in batch: + fw.write(lines[idx]) diff --git a/length.py b/length.py new file mode 100644 index 0000000000000000000000000000000000000000..0e4ca187b51f6d5fc716d0c7fadd3c192534127a --- /dev/null +++ b/length.py @@ -0,0 +1,10 @@ +import json +from tqdm import tqdm +f = open("/home/aiscuser/fhw/data/qwq_python_deduplicated.json", "r+") +fw = open("/home/aiscuser/fhw/data/qwq_python_length.json", "w+") +lines = f.readlines() +for line in tqdm(lines): + d = json.loads(line) + length = len(d["instruction"].split()) + if length <= 500: + fw.write(line) diff --git a/nohup.out b/nohup.out new file mode 100644 index 0000000000000000000000000000000000000000..9c0a48956d0bb8dfa56441f957372f3a89384e51 --- /dev/null +++ b/nohup.out @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e3f200bb4970212a481f8ebbbbe785f3a47a335623e41c89dd13160b13c746b3 +size 112248514 diff --git a/prefix.py b/prefix.py new file mode 100644 index 0000000000000000000000000000000000000000..d1560dcf627f480f81765fab2b0bbcc8e3ec0015 --- /dev/null +++ b/prefix.py @@ -0,0 +1,15 @@ +from transformers import AutoTokenizer +import argparse + +parser = argparse.ArgumentParser() +parser.add_argument('--path', default="/public/home/qianlima/scow/Llama-3.1-70B-Instruct", type=str, help='模型路径') +args = parser.parse_args() + +name = args.path[args.path.rfind('/')+1:] + +# Initialize the tokenizer +tokenizer = AutoTokenizer.from_pretrained(args.path, trust_remote_code=True) +messages = [{"content": "You are a helpful assistant", "role": "system"},{"content": "Hello! What's your name", "role": "user"},{"content": "My name is Harry.", "role": "assistant"}] +new_prompt = tokenizer.apply_chat_template(messages, tokenize=False) +print(new_prompt) +print() \ No newline at end of file diff --git a/qualityscoring.py b/qualityscoring.py new file mode 100644 index 0000000000000000000000000000000000000000..a45f91e02bddd1cbf582fb929f4242fb0baaa26c --- /dev/null +++ b/qualityscoring.py @@ -0,0 +1,41 @@ +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams +import argparse +import json +from tqdm import tqdm + +parser = argparse.ArgumentParser() +parser.add_argument('--path', type=str,help='模型路径') +parser.add_argument('--start', type=int,help='开始') +parser.add_argument('--end', type=int,help='终止') +args = parser.parse_args() + +name = args.path[args.path.rfind('/')+1:] + +f = open("/home/aiscuser/fhw/data/qwq_python_length.json", 'r+') +fw = open(f"/home/aiscuser/fhw/data/qwq_python_scored_{args.start}_{args.end}.json", 'w+') +lines = f.readlines()[args.start:args.end] + +# Initialize the tokenizer +tokenizer = AutoTokenizer.from_pretrained(args.path, trust_remote_code=True) +# Input the model name or path. Can be GPTQ or AWQ models. +llm = LLM(args.path, dtype='float16', tensor_parallel_size=8, max_model_len=5400, trust_remote_code=True, enforce_eager=True) +#llm = LLM(args.path, dtype='float16', tensor_parallel_size=8) +sampling_params = SamplingParams(temperature=1.0, top_p=0.95, max_tokens=8192) +system_prompt = "We are interested in understanding the quality of the following user query. Your task is to assess each prompt based on its clarity, specificity, coherence and difficulty." +prompts = [] +for line in tqdm(lines): + d = json.loads(line) + instruction = d["instruction"] + user_prompt = f"For each query, carry out the following steps:\n1. Assess the Quality: Evaluate whether the query is a clear instruction without a final response and consider the level of difficulty. It is acceptable for a query to include a response that needs improvement or correction and ask the AI to enhance it. Provide a brief explanation of your reasoning.\n2. Assign a Score: Rate the query on a scale of 1 to 10, where a higher score reflects higher quality.\nGuidelines for Scoring:\n• Execellent (9-10): For queries that are very clear, specific, and well-articulated, without a final response included. These queries are particularly challenging and excellently designed to assess the AI's proficiency.\n• Good (5-8): For queries that are clear and specific instructions without a final response. These are not overly difficult to answer and moderately assess the AI's capabilities.\n• Average (3-4): For queries that are fairly clear and specific instructions without a final response. These queries are easy to answer.\n• Poor (1-2): For queries that are ambiguous or include the final response within the instruction itself.\nEnsure to critically evaluate the user query and avoid giving high scores to the query that is ambiguous or too long.\n\n[User Question]\n{instruction}\n\n[Output Format]\nUse double square brackets to format your scores, like so: [[5]]." + messages = [{"role": "system", "content": system_prompt}, {"role": "user", "content": user_prompt}] + text = tokenizer.apply_chat_template( + messages, + tokenize=False + ) + prompts.append(text) +outputs = llm.generate(prompts=prompts, sampling_params=sampling_params) +for output, line in zip(outputs, lines): + d = json.loads(line) + d["quality_judgement"] = output.outputs[0].text + fw.write(json.dumps(d)+"\n") diff --git a/rougecal.py b/rougecal.py new file mode 100644 index 0000000000000000000000000000000000000000..0d014a6ec4885fc7d5dee44718d7106ddd811eb5 --- /dev/null +++ b/rougecal.py @@ -0,0 +1,31 @@ +import json +import random +from rouge import Rouge +f1 = open("/home/aiscuser/fhw/data/code_alpaca_20k.json", "r+") +f2 = open("/home/aiscuser/fhw/data/llama_python_7w.json", "r+") +f1d = json.load(f1) +lines = f2.readlines() +#reference = [] +""" +for item in f1d: + reference.append(item['instruction']) +""" +fw = open("/home/aiscuser/fhw/data/rouge.json", "w+") +random.shuffle(lines) +rouge = Rouge() +final = [] +from tqdm import tqdm +for line in tqdm(lines[:500]): + d = json.loads(line) + candidate = [d['instruction']] + cur = {"rouge-l": {"f": 0.}} + for item in f1d: + rouge_score = rouge.get_scores(hyps=candidate, refs=[item['instruction']], avg=True) + if rouge_score["rouge-l"]["f"] > cur["rouge-l"]["f"]: + cur = rouge_score + print(cur) + final.append(cur) + #value = max(rouge_score, key=lambda(item):item['rouge-l']) + #print(value) +fw.write(json.dumps({"final": final})) + diff --git a/run.sh b/run.sh new file mode 100644 index 0000000000000000000000000000000000000000..0ddaac615e51346a3428b19cc027780916ecd99f --- /dev/null +++ b/run.sh @@ -0,0 +1,24 @@ +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 0 --end 100000 +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 100000 --end 200000 +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 200000 --end 300000 +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 300000 --end 323989 +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 400000 --end 500000 +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 500000 --end 600000 +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 600000 --end 700000 +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 700000 --end 800000 +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 800000 --end 838612 +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 400000 --end 500000 +#python qualityscoring.py --path /home/aiscuser/fhw/model_weights/Llama-3.1-70B-Instruct --start 600000 --end 700000 + +python bertencode.py +#python vllmlan.py --path /home/aiscuser/fhw/model_weights/Mistral-Large-Instruct-2411-GPTQ --n 1 --top_p 0.99 --temperature 1.0 --repeat 100000 --max_tokens 4096 --language Python +#python vllmlan.py --path /home/aiscuser/fhw/model_weights/Mistral-Large-Instruct-2411-GPTQ --n 1 --top_p 0.99 --temperature 1.1 --repeat 100000 --max_tokens 4096 --language Python +#python vllmlan.py --path /home/aiscuser/fhw/model_weights/Mistral-Large-Instruct-2411-GPTQ --n 1 --top_p 0.99 --temperature 1.2 --repeat 100000 --max_tokens 4096 --language Python +#python vllmlan.py --path /home/aiscuser/fhw/model_weights/Mistral-Large-Instruct-2411-GPTQ --n 1 --top_p 0.995 --temperature 1.0 --repeat 100000 --max_tokens 4096 --language Python +#python vllmlan.py --path /home/aiscuser/fhw/model_weights/Mistral-Large-Instruct-2411-GPTQ --n 1 --top_p 0.995 --temperature 1.1 --repeat 100000 --max_tokens 4096 --language Python +#python vllmlan.py --path /home/aiscuser/fhw/model_weights/Mistral-Large-Instruct-2411-GPTQ --n 1 --top_p 0.995 --temperature 1.2 --repeat 100000 --max_tokens 4096 --language Python +#python vllmlan.py --path /home/aiscuser/fhw/model_weights/Mistral-Large-Instruct-2411-GPTQ --n 1 --top_p 1.0 --temperature 1.0 --repeat 100000 --max_tokens 4096 --language Python +#python vllmlan.py --path /home/aiscuser/fhw/model_weights/Mistral-Large-Instruct-2411-GPTQ --n 1 --top_p 1.0 --temperature 1.1 --repeat 100000 --max_tokens 4096 --language Python +#python vllmlan.py --path /home/aiscuser/fhw/model_weights/Mistral-Large-Instruct-2411-GPTQ --n 1 --top_p 1.0 --temperature 1.2 --repeat 100000 --max_tokens 4096 --language Python +#python /scratch/azureml/cr/j/addf1d0960f94a6f976aa75f640100af/cap/data-capability/wd/INPUT_bingads_algo_prod_intentmatching_c08_input_1/zhangdi/DPO/DPO_train.py +python /data/local/zhangdi/DPO/DPO_train.py diff --git a/run_sft_fhw.py b/run_sft_fhw.py new file mode 100644 index 0000000000000000000000000000000000000000..25e5ce3d353d4b8f43b39ff632aa7cad15e73656 --- /dev/null +++ b/run_sft_fhw.py @@ -0,0 +1,227 @@ +#!/usr/bin/env python +# coding=utf-8 +# Copyright 2023 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Supervised fine-tuning script for decoder language models. +""" + +import logging +import random +import sys + +import datasets +import torch +import transformers +from transformers import AutoModelForCausalLM, set_seed + +from alignment import ( + DataArguments, + H4ArgumentParser, + ModelArguments, + SFTConfig, + apply_chat_template, + decontaminate_humaneval, + get_checkpoint, + get_datasets, + get_kbit_device_map, + get_peft_config, + get_quantization_config, + get_tokenizer, +) +from trl import SFTTrainer, setup_chat_format + + +logger = logging.getLogger(__name__) + + +def main(): + parser = H4ArgumentParser((ModelArguments, DataArguments, SFTConfig)) + model_args, data_args, training_args = parser.parse() + + # Set seed for reproducibility + set_seed(training_args.seed) + + ############### + # Setup logging + ############### + logging.basicConfig( + format="%(asctime)s - %(levelname)s - %(name)s - %(message)s", + datefmt="%Y-%m-%d %H:%M:%S", + handlers=[logging.StreamHandler(sys.stdout)], + ) + log_level = training_args.get_process_log_level() + logger.setLevel(log_level) + datasets.utils.logging.set_verbosity(log_level) + transformers.utils.logging.set_verbosity(log_level) + transformers.utils.logging.enable_default_handler() + transformers.utils.logging.enable_explicit_format() + + # Log on each process a small summary + logger.warning( + f"Process rank: {training_args.local_rank}, device: {training_args.device}, n_gpu: {training_args.n_gpu}" + + f" distributed training: {bool(training_args.local_rank != -1)}, 16-bits training: {training_args.fp16}" + ) + logger.info(f"Model parameters {model_args}") + logger.info(f"Data parameters {data_args}") + logger.info(f"Training/evaluation parameters {training_args}") + + # Check for last checkpoint + last_checkpoint = get_checkpoint(training_args) + if last_checkpoint is not None and training_args.resume_from_checkpoint is None: + logger.info(f"Checkpoint detected, resuming training at {last_checkpoint=}.") + + ############### + # Load datasets + ############### + raw_datasets = load_dataset("json", data_files="/proj/memorization/FK/warrior/data/warrior_train.json") + eval_raw_datasets = load_dataset("json", data_files="/proj/memorization/FK/warrior/data/warrior_test.json") + logger.info( + f"Training on the following datasets and their proportions: {[split + ' : ' + str(dset.num_rows) for split, dset in raw_datasets.items()]}" + ) + column_names = list(raw_datasets["train"].features) + + ################ + # Load tokenizer + ################ + tokenizer = get_tokenizer(model_args, data_args) + + ####################### + # Load pretrained model + ####################### + logger.info("*** Load pretrained model ***") + torch_dtype = ( + model_args.torch_dtype if model_args.torch_dtype in ["auto", None] else getattr(torch, model_args.torch_dtype) + ) + quantization_config = get_quantization_config(model_args) + + model_kwargs = dict( + revision=model_args.model_revision, + trust_remote_code=model_args.trust_remote_code, + attn_implementation=model_args.attn_implementation, + torch_dtype=torch_dtype, + use_cache=False if training_args.gradient_checkpointing else True, + device_map=get_kbit_device_map() if quantization_config is not None else None, + quantization_config=quantization_config, + ) + + model = model_args.model_name_or_path + # For ChatML we need to add special tokens and resize the embedding layer + if "<|im_start|>" in tokenizer.chat_template and "gemma-tokenizer-chatml" not in tokenizer.name_or_path: + model = AutoModelForCausalLM.from_pretrained(model_args.model_name_or_path, **model_kwargs) + model, tokenizer = setup_chat_format(model, tokenizer) + model_kwargs = None + + ##################### + # Apply chat template + ##################### + raw_datasets = raw_datasets.map( + apply_chat_template, + fn_kwargs={ + "tokenizer": tokenizer, + "task": "sft", + "auto_insert_empty_system_msg": False, + }, + num_proc=data_args.preprocessing_num_workers, + remove_columns=column_names, + desc="Applying chat template", + ) + eval_raw_datasets = eval_raw_datasets.map( + apply_chat_template, + fn_kwargs={ + "tokenizer": tokenizer, + "task": "sft", + "auto_insert_empty_system_msg": False, + }, + num_proc=data_args.preprocessing_num_workers, + remove_columns=column_names, + desc="Applying chat template", + ) + + + train_dataset = raw_datasets["train"] + eval_dataset = eval_raw_datasets["train"] + + ######################## + # Initialize the Trainer + ######################## + trainer = SFTTrainer( + model=model, + model_init_kwargs=model_kwargs, + args=training_args, + train_dataset=train_dataset, + eval_dataset=eval_dataset, + dataset_text_field="text", + max_seq_length=training_args.max_seq_length, + tokenizer=tokenizer, + packing=True, + peft_config=get_peft_config(model_args), + dataset_kwargs=training_args.dataset_kwargs, + ) + + ############### + # Training loop + ############### + logger.info("*** Train ***") + checkpoint = None + if training_args.resume_from_checkpoint is not None: + checkpoint = training_args.resume_from_checkpoint + elif last_checkpoint is not None: + checkpoint = last_checkpoint + train_result = trainer.train(resume_from_checkpoint=checkpoint) + metrics = train_result.metrics + metrics["train_samples"] = len(train_dataset) + trainer.log_metrics("train", metrics) + trainer.save_metrics("train", metrics) + trainer.save_state() + + ################################## + # Save model and create model card + ################################## + logger.info("*** Save model ***") + trainer.save_model(training_args.output_dir) + logger.info(f"Model saved to {training_args.output_dir}") + + # Save everything else on main process + kwargs = { + "finetuned_from": model_args.model_name_or_path, + "dataset": list(data_args.dataset_mixer.keys()), + "dataset_tags": list(data_args.dataset_mixer.keys()), + "tags": ["alignment-handbook"], + } + if trainer.accelerator.is_main_process: + trainer.create_model_card(**kwargs) + # Restore k,v cache for fast inference + trainer.model.config.use_cache = True + trainer.model.config.save_pretrained(training_args.output_dir) + + ########## + # Evaluate + ########## + if training_args.do_eval: + logger.info("*** Evaluate ***") + metrics = trainer.evaluate() + metrics["eval_samples"] = len(eval_dataset) + trainer.log_metrics("eval", metrics) + trainer.save_metrics("eval", metrics) + + if training_args.push_to_hub is True: + logger.info("Pushing to hub...") + trainer.push_to_hub(**kwargs) + + logger.info("*** Training complete ***") + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/search.py b/search.py new file mode 100644 index 0000000000000000000000000000000000000000..b9fd1c64133633c499503b1506bfecb179464128 --- /dev/null +++ b/search.py @@ -0,0 +1,9 @@ +import json +f = open("/home/aiscuser/fhw/data/llama_instruct_final.json", "r+") +lines = f.readlines() +for line in lines: + d = json.loads(line) + if d["score"] >= 8 and d["score"] <= 9: + print(d["instruction"]) + print("############################################################################") + diff --git a/selectscore.py b/selectscore.py new file mode 100644 index 0000000000000000000000000000000000000000..b8d6d20c876c583bb312a4492b0192ac4469f535 --- /dev/null +++ b/selectscore.py @@ -0,0 +1,19 @@ +import re +import json +from tqdm import tqdm +import os +import random +f = open(f"/home/aiscuser/fhw/data/qwq_python_final.json", 'r+') +fw = open(f"/home/aiscuser/fhw/data/qwq_python_selected.json", 'w+') +lines = f.readlines() +random.shuffle(lines) +scores = {"1": 0, "2": 0, "3": 0, "4": 0, "5": 0, "6": 0, "7": 0, "8": 0, "9": 0, "10": 0} +for line in tqdm(lines): + d = json.loads(line) + if d["score"]>=9 and d["score"]<=10: + d["instruction"] = d["instruction"].replace("<|start_header_id|>assistant", "") + fw.write(line) + + if d["score"]>=1 and d["score"]<=10: + scores[str(int(d["score"]))] = scores[str(int(d["score"]))] + 1 +print(scores) diff --git a/split.py b/split.py new file mode 100644 index 0000000000000000000000000000000000000000..bc1a113c681e07a74f1f4b6c622fed81d43c8b9f --- /dev/null +++ b/split.py @@ -0,0 +1,125 @@ +from tqdm import tqdm +import json +f = open("/home/aiscuser/fhw/data/all_instruct_with_answers_cleaned.json", "r+") +lines = f.readlines() +a, b, c, d, e = 0, 0, 0, 0, 0 +linesa, linesb, linesc, linesd, linese = [], [], [], [], [] + +for line in tqdm(lines): + dd = json.loads(line) + if dd["judgename"] == "athene": + a +=1 + linesa.append(line) + continue + if dd["judgename"] == "deepseekcoder": + b +=1 + linesb.append(line) + continue + if dd["judgename"] == "llama": + c +=1 + linesc.append(line) + continue + if dd["judgename"] == "qwen": + d +=1 + linesd.append(line) + continue + if dd["judgename"] == "qwq": + e +=1 + linese.append(line) + continue + +print({"athene": a, "deepseekcoder": b, "llama": c, "qwen": d, "qwq": e}) +fw = open("/home/aiscuser/fhw/data/athene_split_0.json", "w+") +for line in linesa[:10747]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/athene_split_1.json", "w+") +for line in linesa[10747:21494]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/athene_split_2.json", "w+") +for line in linesa[21494:32241]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/athene_split_3.json", "w+") +for line in linesa[32241:42988]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/athene_split_4.json", "w+") +for line in linesa[42988:53735]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/athene_split_5.json", "w+") +for line in linesa[53735:64481]: + fw.write(line) + +fw = open("/home/aiscuser/fhw/data/deepseekcoder_split_0.json", "w+") +for line in linesb[:11219]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/deepseekcoder_split_1.json", "w+") +for line in linesb[11219:22438]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/deepseekcoder_split_2.json", "w+") +for line in linesb[22438:33658]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/deepseekcoder_split_3.json", "w+") +for line in linesb[33658:44877]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/deepseekcoder_split_3.json", "w+") +for line in linesb[44877:56096]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/deepseekcoder_split_3.json", "w+") +for line in linesb[56096:67316]: + fw.write(line) + +fw = open("/home/aiscuser/fhw/data/llama_split_0.json", "w+") +for line in linesc[:11604]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/llama_split_1.json", "w+") +for line in linesc[11604:23208]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/llama_split_2.json", "w+") +for line in linesc[23208:34813]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/llama_split_3.json", "w+") +for line in linesc[34813:46417]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/llama_split_4.json", "w+") +for line in linesc[46417:58021]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/llama_split_5.json", "w+") +for line in linesc[58021:69626]: + fw.write(line) + +fw = open("/home/aiscuser/fhw/data/qwen_split_0.json", "w+") +for line in linesd[:10607]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/qwen_split_1.json", "w+") +for line in linesd[10607:21213]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/qwen_split_2.json", "w+") +for line in linesd[21213:31820]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/qwen_split_3.json", "w+") +for line in linesd[31820:42427]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/qwen_split_4.json", "w+") +for line in linesd[42427:53034]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/qwen_split_5.json", "w+") +for line in linesd[53034:63641]: + fw.write(line) + +fw = open("/home/aiscuser/fhw/data/qwq_split_0.json", "w+") +for line in linesd[:7776]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/qwq_split_1.json", "w+") +for line in linesd[7776:15552]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/qwq_split_2.json", "w+") +for line in linesd[15552:23328]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/qwq_split_3.json", "w+") +for line in linesd[23328:31104]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/qwq_split_4.json", "w+") +for line in linesd[31104:38880]: + fw.write(line) +fw = open("/home/aiscuser/fhw/data/qwq_split_5.json", "w+") +for line in linesd[38880:46656]: + fw.write(line) \ No newline at end of file diff --git a/taskclassify.sh b/taskclassify.sh new file mode 100644 index 0000000000000000000000000000000000000000..a29c7c9bc72d058a89eac649ae3fe41b0975266a --- /dev/null +++ b/taskclassify.sh @@ -0,0 +1,4 @@ +python vllmtask.py --judge /home/aiscuser/fhw/model_weights/llama --start 0 --end 100000 +python vllmtask.py --judge /home/aiscuser/fhw/model_weights/llama --start 100000 --end 200000 +python vllmtask.py --judge /home/aiscuser/fhw/model_weights/llama --start 200000 --end 311720 +python /data/local/zhangdi/DPO/DPO_train.py diff --git a/taskstatistic.py b/taskstatistic.py new file mode 100644 index 0000000000000000000000000000000000000000..e5cfa309de1ab2f10fc25e1af49e9edf0e3b4fdf --- /dev/null +++ b/taskstatistic.py @@ -0,0 +1,31 @@ +from tqdm import tqdm +import json +f = open("/home/aiscuser/fhw/data/all_instruct_with_tasks.json", "r+") +lines = f.readlines() +a , b, c, d, e, f, g = 0, 0, 0, 0, 0, 0, 0 +for line in tqdm(lines): + dd = json.loads(line) + text = dd["task"] + if "Code Transpile" in text: + g+=1 + continue + if "Code Debugging" in text: + b +=1 + continue + if "Code Optimization" in text: + c +=1 + continue + if "Code Reasoning" in text: + d +=1 + continue + if "Code Analysis" in text: + e +=1 + continue + if "Code Generation" in text: + a +=1 + continue + if "Theoretical Explanation" in text: + f +=1 + continue + +print({"Code Generation": a, "Code Debugging": b, "Code Optimization": c, "Code Reasoning": d, "Code Analysis": e, "Theoretical Explanation": f, "Code Transpile": g}) \ No newline at end of file diff --git a/trainformat.py b/trainformat.py new file mode 100644 index 0000000000000000000000000000000000000000..373c7d72e6fe797b66764328b373244dbc942563 --- /dev/null +++ b/trainformat.py @@ -0,0 +1,9 @@ +import json +from tqdm import tqdm +f = open("/home/aiscuser/fhw/data/all_instruct_with_answers.json", "r+") +lines = f.readlines()[:500] +fw = open("/home/aiscuser/fhw/data/warrior_test.json", "w+") +for line in tqdm(lines): + d = json.loads(line) + item = {"messages": [{"role": "user", "content": d["instruction"]}, {"role": "assistant", "content": d["bestanswer"]}]} + fw.write(json.dumps(item)+"\n") diff --git a/vllmans.py b/vllmans.py new file mode 100644 index 0000000000000000000000000000000000000000..2ba7f8050c3d340f5183bbe9dda8cd04a879c256 --- /dev/null +++ b/vllmans.py @@ -0,0 +1,44 @@ +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams +import argparse +import json +from tqdm import tqdm + +parser = argparse.ArgumentParser() +parser.add_argument('--path', type=str,help='模型路径') +parser.add_argument('--datapath', type=str,help='模型路径') +args = parser.parse_args() + +name = args.path[args.path.rfind('/')+1:] +dataname = args.datapath[args.datapath.rfind('/')+1:] +dataname = dataname[:dataname.find('_')] +print(dataname) +# Initialize the tokenizer +tokenizer = AutoTokenizer.from_pretrained(args.path, trust_remote_code=True) + + +# Input the model name or path. Can be GPTQ or AWQ models. +llm = LLM(args.path, dtype='float16', tensor_parallel_size=8, trust_remote_code=True, enforce_eager=True, max_model_len=8192) +sampling_params = SamplingParams(temperature=1.0, top_p=0.95, max_tokens=8192) + + +# Prepare your prompts +system_prompt = "You are an AI assistant designed to provide helpful, step-by-step guidance on Python coding problems. The user will ask you a wide range of Python coding questions. Your purpose is to assist users in understanding Python coding concepts, working through Python code, and arriving at the correct Python solutions." +f = open(f"{args.datapath}", 'r+') +lines = f.readlines() +fw = open(f"/home/aiscuser/fhw/data/{dataname}_answerby_{name}.json", 'w+') +prompts = [] +for line in tqdm(lines): + d = json.loads(line) + instruction = d["instruction"] + messages = [{"role": "system", "content": system_prompt}, {"role": "user", "content": instruction}] + text = tokenizer.apply_chat_template( + messages, + tokenize=False + ) + prompts.append(text) +outputs = llm.generate(prompts=prompts, sampling_params=sampling_params) +for line, output in zip(lines, outputs): + d =json.loads(line) + d["response"] = output.outputs[0].text + fw.write(json.dumps(d)+"\n") diff --git a/vllmarenaans.py b/vllmarenaans.py new file mode 100644 index 0000000000000000000000000000000000000000..69e55ffca569beb9ccb214f26fcb63af498790ca --- /dev/null +++ b/vllmarenaans.py @@ -0,0 +1,41 @@ +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams +import argparse +import json +from tqdm import tqdm + +parser = argparse.ArgumentParser() +parser.add_argument('--model', type=str,help='模型路径') +parser.add_argument('--judge', type=str,help='模型路径') +parser.add_argument('--split', type=str,help='模型路径') +args = parser.parse_args() + + +# Initialize the tokenizer +tokenizer = AutoTokenizer.from_pretrained(f"/home/aiscuser/fhw/model_weights/{args.model}", trust_remote_code=True) + + +# Input the model name or path. Can be GPTQ or AWQ models. +llm = LLM(f"/home/aiscuser/fhw/model_weights/{args.model}", dtype='float16', tensor_parallel_size=8, trust_remote_code=True, enforce_eager=True, max_model_len=8192) +sampling_params = SamplingParams(temperature=1.0, top_p=0.95, max_tokens=8192) + + +# Prepare your prompts +f = open(f"/home/aiscuser/fhw/data/{args.judge}_split_{args.split}.json", 'r+') +lines = f.readlines() +fw = open(f"/home/aiscuser/fhw/data/{args.judge}_split_{args.split}_answerby_{args.model}.json", 'w+') +prompts = [] +for line in tqdm(lines): + d = json.loads(line) + instruction = d["instruction"] + messages = [{"role": "user", "content": instruction}] + text = tokenizer.apply_chat_template( + messages, + tokenize=False + ) + prompts.append(text) +outputs = llm.generate(prompts=prompts, sampling_params=sampling_params) +for line, output in zip(lines, outputs): + d =json.loads(line) + d["response"] = output.outputs[0].text + fw.write(json.dumps(d)+"\n") diff --git a/vllmbattle.py b/vllmbattle.py new file mode 100644 index 0000000000000000000000000000000000000000..48e93a51fdd9c78774782399688d6209d50ab08f --- /dev/null +++ b/vllmbattle.py @@ -0,0 +1,55 @@ +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams +import argparse +import json +from tqdm import tqdm + +parser = argparse.ArgumentParser() +parser.add_argument('--judge', type=str,help='模型路径') +parser.add_argument('--model', type=str,help='模型路径') +args = parser.parse_args() + +judgename = args.judge[args.judge.rfind('/')+1:] +modelname = args.model[args.model.rfind('/')+1:] + +# Initialize the tokenizer +tokenizer = AutoTokenizer.from_pretrained(args.judge, trust_remote_code=True) + +# Input the model name or path. Can be GPTQ or AWQ models. +llm = LLM(args.judge, dtype='float16', tensor_parallel_size=8, trust_remote_code=True, enforce_eager=True, max_model_len=5400) +sampling_params = SamplingParams(temperature=1.0, top_p=0.95, max_tokens=5400) + + +# Prepare your prompts +system_prompt = "Please act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user prompt displayed below." +f = open(f"/home/aiscuser/fhw/data/{judgename}_filtered_by_answer.json", "r+") +ddd = json.loads(f.readlines()[0]) +indexes = list(set(ddd[judgename]).intersection(set(ddd[modelname]))) +print(len(ddd[judgename])) +print(len(ddd[modelname])) +print(len(indexes)) +f1 = open(f"/home/aiscuser/fhw/data/{judgename}_answerby_{judgename}.json", 'r+') +lines1 = f1.readlines() +f2 = open(f"/home/aiscuser/fhw/data/{judgename}_answerby_{modelname}.json", 'r+') +lines2 = f2.readlines() +fw = open(f"/home/aiscuser/fhw/data/{judgename}_judge_{modelname}.json", 'w+') +prompts = [] +for index in tqdm(indexes): + d1 = json.loads(lines1[index]) + d2 = json.loads(lines2[index]) + instruction = d1["instruction"] + reference = d1["response"] + response = d2["response"] + user_prompt = f"You will be given a user prompt, a reference answer and the assistant's answer. Your job is to compare the assistant's answer with the reference one and assign a score. For each user prompt, carry out the following steps:\n1. Consider if the assistant's answer is helpful, relevant, and concise. Helpful means the answer correctly responds to the prompt or follows the instructions. Relevant means all parts of the response closely connect or are appropriate to what is being asked. Concise means the response is clear and not verbose or excessive.\n2. Then consider the creativity and novelty of the assistant's answer when needed.\n3. Finally, identify any missing important information in the assistants'answer that would be beneficial to include when responding to the user prompt.\n4. After providing your explanation, you must rate the assistant's answer on a scale of 1 to 10, where a higher score reflects higher quality.\nGuidelines for Scoring:\n• Assistant's Answer>>Reference Answer (7-10): The assistant's answer is significantly or slightly better than the reference answer.\n• Assistant's Answer==Reference Answer (5-6): The quality of assistant's answer is relatively the same as that of the reference answer.\n• Assistant's Answer<","<|end_of_text|>","<|starter_header_id|>","<|end_header_id|>"] +stop_tokens = ["<｜end▁of▁sentence｜>", "Assistant", "Assistant:", "[/INST]", ""] +sampling_params = SamplingParams( + n=args.n, + temperature=args.temperature, + top_p=args.top_p, + max_tokens=args.max_tokens, + stop=stop_tokens) + +# Prepare your prompts +#text = f"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nCutting Knowledge Date: December 2023\nToday Date: 26 Jul 2024\n\nYou are an AI assistant designed to provide helpful, step-by-step guidance on {args.language} coding problems. The user will ask you a wide range of {args.language} coding questions.\nYour purpose is to assist users in understanding {args.language} coding concepts, working through {args.language} code, and arriving at the correct {args.language} solutions.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n" +#text = f"<｜begin▁of▁sentence｜>You are an AI assistant designed to provide helpful, step-by-step guidance on {args.language} coding problems. The user will ask you a wide range of {args.language} coding questions. Your purpose is to assist users in understanding {args.language} coding concepts, working through {args.language} code, and arriving at the correct {args.language} solutions.\n\nUser: " +text = f"[SYSTEM_PROMPT] You are an AI assistant designed to provide helpful, step-by-step guidance on {args.language} coding problems. The user will ask you a wide range of {args.language} coding questions. Your purpose is to assist users in understanding {args.language} coding concepts, working through {args.language} code, and arriving at the correct {args.language} solutions.[/SYSTEM_PROMPT][INST] " + +# generate outputs +fw = open("/home/aiscuser/fhw/data/" + name + "_t_" + str(args.temperature) + "_p_" + str(args.top_p) + "_" + args.language + ".json", 'w+') +outputs = llm.generate(prompts=[text]*args.repeat, sampling_params=sampling_params) +for output in outputs: + print(output.outputs[0].text) + fw.write(json.dumps({"instruction": output.outputs[0].text})+"\n") +# Print the outputs. diff --git a/vllmtask.py b/vllmtask.py new file mode 100644 index 0000000000000000000000000000000000000000..021f8a6f75722f77e40c99579b6c0ced30fd2e64 --- /dev/null +++ b/vllmtask.py @@ -0,0 +1,41 @@ +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams +import argparse +import json +from tqdm import tqdm + +parser = argparse.ArgumentParser() +parser.add_argument('--judge', type=str,help='模型路径') +parser.add_argument('--start', type=int,help='开始') +parser.add_argument('--end', type=int,help='终止') +args = parser.parse_args() + + +# Initialize the tokenizer +tokenizer = AutoTokenizer.from_pretrained(args.judge, trust_remote_code=True) + +# Input the model name or path. Can be GPTQ or AWQ models. +llm = LLM(args.judge, dtype='float16', tensor_parallel_size=8, trust_remote_code=True, enforce_eager=True, max_model_len=5400) +sampling_params = SamplingParams(temperature=1.0, top_p=0.95, max_tokens=5400) + + +# Prepare your prompts +f = open("/home/aiscuser/fhw/data/all_instruct_with_answers.json", "r+") +lines = f.readlines()[args.start:args.end] +fw = open(f"/home/aiscuser/fhw/data/all_tasks_{args.start}_{args.end}.json", 'w+') +prompts = [] +for line in tqdm(lines): + d = json.loads(line) + instruction = d["instruction"] + prompt = f"Classify the following instruction into one of the predefined categories.\n[Instruction]:\n{instruction}\n[Categories]:\n1. Code Generation: Generating source code based on certain specifications or requirements.\n2. Code Debugging: Identifying, diagnosing, and fixing errors or bugs in a code snippet.\n3. Code Optimization: Improving a program's performance, efficiency, or resource usage without changing its functionality.\n4. Code Reasoning: Predicting the output based on the given input or predicting the input from the known output.\n5. Code Analysis: Analyzing, understanding, and explaining how a piece of code works.\n6. Theoretical Explanation: Answering the questions about principles, theories, and properties of programming language without involving the real code snippets.\n7. Code Transpile: Converting source code from one programming language into another programming language." + messages = [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": prompt}] + text = tokenizer.apply_chat_template( + messages, + tokenize=False + ) + prompts.append(text) +outputs = llm.generate(prompts=prompts, sampling_params=sampling_params) +for line, output in zip(lines, outputs): + d =json.loads(line) + d["task"] = output.outputs[0].text + fw.write(json.dumps(d)+"\n")