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85 lines
No EOL
3.5 KiB
Python
85 lines
No EOL
3.5 KiB
Python
import re
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import json
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import numpy as np
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from internbootcamp.bootcamp.base import Basebootcamp
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class earth_dew2humidity(Basebootcamp):
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def __init__(
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self,
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temperature_range=(-20, 40),
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temperature_dewpoint_range=(0, 10),
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seed=None
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):
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self.temperature_range, self.temperature_dewpoint_range = temperature_range, temperature_dewpoint_range
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if seed is not None:
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np.random.seed(seed)
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def case_generator(self):
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# 1. 随机采样参数 dewpoint 和 temperature
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temperature_original = float(np.random.uniform(*self.temperature_range))
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dewpoint_original = temperature_original - float(np.random.uniform(*self.temperature_dewpoint_range))
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# 2. 计算湿度
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dewpoint = dewpoint_original + 273.15
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temperature = temperature_original + 273.15
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e = 611.2 * np.exp(17.67 * (dewpoint - 273.15) / (dewpoint - 29.65))
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e_s = 611.2 * np.exp(17.67 * (temperature - 273.15) / (temperature - 29.65))
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rh = e / e_s * 100
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return {"dewpoint": dewpoint_original, "temperature": temperature_original, "humidity": float(rh)}
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def prompt_func(self, identity) -> str:
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dewpoint = identity["dewpoint"]
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temperature = identity["temperature"]
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return (
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f"下面给出露点温度（dewpoint）={dewpoint} (摄氏度)\n温度（temperature）={temperature} (摄氏度)\n"
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"请计算湿度，计算公式为：\n"
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"dewpoint = dewpoint + 273.15，temperature = temperature + 273.15\n"
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"e = 611.2 * np.exp(17.67 * (dewpoint - 273.15) / (dewpoint - 29.65))\n"
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"e_s = 611.2 * np.exp(17.67 * (temperature - 273.15) / (temperature - 29.65))\n"
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"relative humidity = e / e_s * 100\n"
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"只需返回 “relative humidity = ”。"
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)
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@staticmethod
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def extract_output(output: str) -> str:
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# 用正则提取“relative humidity = …”右侧的表达式
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m = re.search(r"relative humidity\s*=\s*([^\n\r]+)", output)
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return m.group(1).strip() if m else None
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@classmethod
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def _verify_correction(cls, solution: str, identity: dict) -> bool:
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# 解析 LLM 给出的系数 c，形如 “c*x”
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solution = solution.replace(" ", "")
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try:
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c = float(solution)
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except:
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return False
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# print(c)
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# 验证 c ≈ k
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return abs(c - identity["humidity"]) < 1e-2
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if __name__ == "__main__":
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bootcamp = earth_dew2humidity(seed=123)
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# 生成几个样例
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examples = [bootcamp.case_generator() for _ in range(3)]
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print(examples)
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print(bootcamp.prompt_func(examples[0]))
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print(bootcamp.extract_output("xxxxx relative humidity = 111222 "))
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solution = bootcamp.extract_output("xxxxx relative humidity = 84.79 ")
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print(bootcamp._verify_correction(solution, examples[0]))
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solution = bootcamp.extract_output("xxxxx relative humidity = 83.79 ")
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print(bootcamp._verify_correction(solution, examples[0]))
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for identity in examples:
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# 构造“模型”返回答案，模拟 LLM 的输出
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humidity = identity["humidity"]
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sol = f"{humidity:.4f}"
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# 调用 Basebootcamp 提供的 verify_score 接口进行验证
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score = bootcamp.verify_score(sol, identity, short_threshold=1e-2)
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# 打印结果
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print(json.dumps({
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"identity": identity,
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"solution": sol,
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"verify_score": score
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}, ensure_ascii=False, indent=2)) |