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中级

实现作物生长周期积温阶段查询

未完成
中级参考 代码结构已给出，请填写 ____ 处 
def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    gdd_csv = open_url(____).read()
    stages_csv = open_url(____).read()
    gdd = pd.read_csv(StringIO(____))
    stages = pd.read_csv(StringIO(____))
    tomato_stages = stages[stages['____']=='____'].sort_values(____)
    def determine_stage(____):
        accum = ____
        for _, s in tomato_stages.iterrows():
            accum += float(____)
            if cumulative_gdd < accum:
                return s['____']
        return tomato_stages.iloc[-____]['____']
    print(____)
    for _, row in gdd.iterrows():
        stage = determine_stage(float(____))
        match = stage == row['____']
        print("____"+str(____)+"____"+str(round(____))+"____"+stage+"____"+str(____)+"____"+str(____))

示例

输入
solve()
期望输出
GDD stage tracking (tomato):
  2025-05-19 cumGDD=393.6 stage=vine stored=vine match=True
  2025-05-20 cumGDD=405.0 stage=vine stored=flowering match=False
  2025-05-21 cumGDD=417.6 stage=vine stored=flowering match=False
  2025-05-22 cumGDD=428.9 stage=vine stored=flowering match=False
  2025-05-23 cumGDD=439.0 stage=vine stored=flowering match=False
  2025-05-24 cumGDD=452.4 stage=flowering stored=flowering match=True
  2025-05-25 cumGDD=464.1 stage=flowering stored=flowering match=True
  2025-05-26 cumGDD=476.9 stage=flowering stored=flowering match=True
  2025-05-27 cumGDD=490.1 stage=flowering stored=flowering match=True
  2025-05-28 cumGDD=499.4 stage=flowering stored=flowering match=True
  2025-05-29 cumGDD=512.1 stage=flowering stored=flowering match=True
  2025-05-30 cumGDD=524.2 stage=flowering stored=flowering match=True
  2025-05-31 cumGDD=539.4 stage=flowering stored=flowering match=True
  2025-06-01 cumGDD=549.0 stage=flowering stored=flowering match=True
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