upload earth

examples/pipelines/puzzle_configs/earth_dew2humidity_test.json

@@ -0,0 +1,32 @@
+[
+  {
+    "temperature_range": [
+      -20,
+      40
+    ],
+    "temperature_dewpoint_range": [
+      0,
+      10
+    ]
+  },
+  {
+      "temperature_range": [
+        -15,
+        35
+      ],
+      "temperature_dewpoint_range": [
+        0,
+        8
+      ]
+    },
+    {
+      "temperature_range": [
+        -10,
+        30
+      ],
+      "temperature_dewpoint_range": [
+        0,
+        5
+      ]
+    }
+]

examples/pipelines/puzzle_configs/earth_dew2humidity_train.json

@@ -0,0 +1,33 @@
+[
+    {
+      "temperature_range": [
+        -20,
+        40
+      ],
+      "temperature_dewpoint_range": [
+        0,
+        10
+      ]
+    },
+    {
+        "temperature_range": [
+          -15,
+          35
+        ],
+        "temperature_dewpoint_range": [
+          0,
+          8
+        ]
+      },
+      {
+        "temperature_range": [
+          -10,
+          30
+        ],
+        "temperature_dewpoint_range": [
+          0,
+          5
+        ]
+      }
+  ]
+  

internbootcamp/bootcamp/earth_dew2humidity/earth_dew2humidity.py

@@ -0,0 +1,85 @@
+import re
+import json
+import numpy as np
+from internbootcamp.bootcamp.base import Basebootcamp
+
+
+class earth_dew2humidity(Basebootcamp):
+    def __init__(
+        self,
+        temperature_range=(-20, 40),
+        temperature_dewpoint_range=(0, 10),
+        seed=None
+    ):
+        self.temperature_range, self.temperature_dewpoint_range = temperature_range, temperature_dewpoint_range
+        if seed is not None:
+            np.random.seed(seed)
+
+    def case_generator(self):
+        # 1. 随机采样参数 dewpoint 和 temperature
+        temperature_original = float(np.random.uniform(*self.temperature_range))
+        dewpoint_original = temperature_original - float(np.random.uniform(*self.temperature_dewpoint_range))
+        # 2. 计算湿度
+        dewpoint = dewpoint_original + 273.15
+        temperature = temperature_original + 273.15
+        e = 611.2 * np.exp(17.67 * (dewpoint - 273.15) / (dewpoint - 29.65))
+        e_s = 611.2 * np.exp(17.67 * (temperature - 273.15) / (temperature - 29.65))
+        rh = e / e_s * 100
+        return {"dewpoint": dewpoint_original, "temperature": temperature_original, "humidity": float(rh)}
+
+    def prompt_func(self, identity) -> str:
+        dewpoint = identity["dewpoint"]
+        temperature = identity["temperature"]
+        return (
+            f"下面给出露点温度（dewpoint）={dewpoint} (摄氏度)\n温度（temperature）={temperature} (摄氏度)\n"
+            "请计算湿度，计算公式为：\n"
+            "dewpoint = dewpoint + 273.15，temperature = temperature + 273.15\n"
+            "e = 611.2 * np.exp(17.67 * (dewpoint - 273.15) / (dewpoint - 29.65))\n"
+            "e_s = 611.2 * np.exp(17.67 * (temperature - 273.15) / (temperature - 29.65))\n"
+            "relative humidity = e / e_s * 100\n"
+            "只需返回 “relative humidity = ”。"
+        )
+
+    @staticmethod
+    def extract_output(output: str) -> str:
+        # 用正则提取“relative humidity = …”右侧的表达式
+        m = re.search(r"relative humidity\s*=\s*([^\n\r]+)", output)
+        return m.group(1).strip() if m else None
+
+    @classmethod
+    def _verify_correction(cls, solution: str, identity: dict) -> bool:
+        # 解析 LLM 给出的系数 c，形如 “c*x”
+        solution = solution.replace(" ", "")
+        try:
+            c = float(solution)
+        except:
+            return False
+        # print(c)
+        # 验证 c ≈ k
+        return abs(c - identity["humidity"]) < 1e-2
+
+
+if __name__ == "__main__":
+    bootcamp = earth_dew2humidity(seed=123)
+    # 生成几个样例
+    examples = [bootcamp.case_generator() for _ in range(3)]
+    print(examples)
+    print(bootcamp.prompt_func(examples[0]))
+    print(bootcamp.extract_output("xxxxx relative humidity = 111222 "))
+    solution = bootcamp.extract_output("xxxxx relative humidity = 84.79 ")
+    print(bootcamp._verify_correction(solution, examples[0]))
+    solution = bootcamp.extract_output("xxxxx relative humidity = 83.79 ")
+    print(bootcamp._verify_correction(solution, examples[0]))
+
+    for identity in examples:
+        # 构造“模型”返回答案，模拟 LLM 的输出
+        humidity = identity["humidity"]
+        sol = f"{humidity:.4f}"
+        # 调用 Basebootcamp 提供的 verify_score 接口进行验证
+        score = bootcamp.verify_score(sol, identity, short_threshold=1e-2)
+        # 打印结果
+        print(json.dumps({
+            "identity": identity,
+            "solution": sol,
+            "verify_score": score
+        }, ensure_ascii=False, indent=2))