mirror of
https://github.com/InternLM/InternBootcamp.git
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324d068f8d
- Rename puzzle configuration files for consistency (e.g., InChI2logP_test.json) - Standardize class names to PascalCase (e.g., InChI2MRBootCamp -> InChI2MRbootCamp) - Improve code structure in various bootcamp modules for better readability and maintainability - Update import statements and file references to reflect new naming conventions - Enhance setup.py to include rdkit dependency
107 lines
No EOL
6.8 KiB
Python
107 lines
No EOL
6.8 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 Earthdew2humiditybootcamp(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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"以\\boxed{relative humidity = ？%} 格式输出你的最终答案，例如\\boxed{relative humidity = your answer%}。"
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)
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@staticmethod
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def extract_output(output):
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boxed_start_index = output.find('\\boxed{')
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boxed_end_index = output.rfind('}', boxed_start_index)
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boxed = output[boxed_start_index + 7:boxed_end_index]
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# print(boxed)
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# 提取数字（含小数点）
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number_match = re.findall(r'\d+(?:\.\d+)?', boxed)[-1]
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if number_match:
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try:
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return float(number_match)
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except ValueError:
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return None
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return 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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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-1
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if __name__ == "__main__":
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# bootcamp = Earthdew2humiditybootcamp(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("[answer]relative humidity = relative humidity = 83.79%[/answer]")
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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"\\boxed{{relative humidity = {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_penalty=False,format_penalty=False)
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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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# "extract_output": Earthdew2humiditybootcamp.extract_output(sol),
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# "verify_score": score
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# }, ensure_ascii=False, indent=2))
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case = {
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"id": 49,
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"prompt": "下面给出露点温度（dewpoint）=13.225845924995145 (摄氏度)\n温度（temperature）=13.427933720529904 (摄氏度)\n请计算湿度，计算公式为：\ndewpoint = dewpoint + 273.15，temperature = temperature + 273.15\ne = 611.2 * np.exp(17.67 * (dewpoint - 273.15) / (dewpoint - 29.65))\ne_s = 611.2 * np.exp(17.67 * (temperature - 273.15) / (temperature - 29.65))\nrelative humidity = e / e_s * 100\n以 \\boxed{relative humidity = ？%} 格式输出你的最终答案，例如 \\boxed{relative humidity = your answer%}。",
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"output_len": 130,
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"score": 0,
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"ground_truth": {
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"dewpoint": 13.225845924995145,
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"temperature": 13.427933720529904,
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"humidity": 98.69041013549538
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},
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"output": "首先，将露点温度和温度转换为绝对温度。露点温度为13.225845924995145摄氏度，加上273.15得到露点温度的绝对温度，即为286.37584592499516 K。同样地，温度13.427933720529904摄氏度加上273.15，得到绝对温度286.5779337205299 K。\n\n接下来，计算露点温度对应的饱和水蒸气压。使用公式e = 611.2 * np.exp(17.67 * (dewpoint - 273.15) / (dewpoint - 29.65))，其中dewpoint为286.37584592499516 K。计算得到e的值约为654.54 hPa。\n\n然后，计算温度对应的饱和水蒸气压。使用公式e_s = 611.2 * np.exp(17.67 * (temperature - 273.15) / (temperature - 29.65))，其中temperature为286.5779337205299 K。计算得到e_s的值约为656.53 hPa。\n\n最后，计算相对湿度。相对湿度等于e除以e_s，再乘以100，即(654.54 / 656.53) * 100 ≈ 99.69%。\n</think>\n\n好的，我们按照给定的公式计算相对湿度。\n\n**步骤如下：**\n\n1. **将露点温度和温度转换为绝对温度：**\n \n \\[\n \\text{dewpoint} = 13.225845924995145\\,^\\circ\\text{C} + 273.15 = 286.37584592499516\\,\\text{K}\n \\]\n \n \\[\n \\text{temperature} = 13.427933720529904\\,^\\circ\\text{C} + 273.15 = 286.5779337205299\\,\\text{K}\n \\]\n\n2. **计算露点温度对应的饱和水蒸气压 \\( e \\)：**\n \n \\[\n e = 611.2 \\times \\exp\\left(\\frac{17.67 \\times (286.37584592499516 - 273.15)}{286.37584592499516 - 29.65}\\right) \\approx 654.54\\,\\text{hPa}\n \\]\n\n3. **计算温度对应的饱和水蒸气压 \\( e_s \\)：**\n \n \\[\n e_s = 611.2 \\times \\exp\\left(\\frac{17.67 \\times (286.5779337205299 - 273.15)}{286.5779337205299 - 29.65}\\right) \\approx 656.53\\,\\text{hPa}\n \\]\n\n4. **计算相对湿度：**\n \n \\[\n \\text{relative humidity} = \\left( \\frac{e}{e_s} \\right) \\times 100 = \\left( \\frac{654.54}{656.53} \\right) \\times 100 \\approx 99.69\\%\n \\]\n\n**最终答案：**\n\n\\[\n\\boxed{\\text{relative humidity} = 99.69\\%}\n\\]"
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}
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print(Earthdew2humiditybootcamp.extract_output(case['output'])) |