实现心跳频率异常检测

def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    hb_csv = open_url(____).read()
    hb = pd.read_csv(StringIO(____))
    MIN_IV = ____; MAX_IV = ____
    def check(____):
        rows = df[df['____']==sid].sort_values(____)
        ts = list(____)
        if len(____)<____: return [],[]
        ivs = [ts[i+____]-ts[i] for i in range(len(____)-____)]
        return [iv for iv in ivs if iv<MIN_IV],[iv for iv in ivs if iv>MAX_IV]
    anomalies = []
    for sid in list(hb['____'].unique())[:____]:
        fast, slow = check(____)
        if fast or slow:
            anomalies.append({'____':sid,'____':len(____),'____':len(____)})
    print("____"+str(____)+"____"+str(____)+"____")
    for a in anomalies[:____]:
        print("____"+a['____']+"____"+str(____)+"____"+str(____))
    print("____"+str(len(____)))