import pandas as pd

def bianyao_huangjijingshi(Map64Gua: pd.DataFrame, yaoOrig: str) -> pd.DataFrame:
    """
    皇极经世：变爻计算
    输入原爻（如 '000100'），输出所有变爻之后的卦象合集
    """
    #print("Map64Gua:",Map64Gua['yaoAll'].apply(type).value_counts())
    # 找到原始卦所在的行
    if 'yaoAll' not in Map64Gua.columns:
        raise ValueError("'yaoAll' 列在 Map64Gua 中不存在，请检查数据")

    Map64Gua = Map64Gua.copy()
    Map64Gua['yaoAll'] = Map64Gua['yaoAll'].astype(str).str.zfill(6).str.strip()
    yaoOrig = str(yaoOrig).zfill(6).strip()

    # 找到原始卦所在的行
    matches = Map64Gua[Map64Gua['yaoAll'] == yaoOrig]
    if matches.empty:
        raise ValueError(f"未找到 yaoAll 为 {yaoOrig} 的卦象")

    k2 = matches.iloc[0]  # 取第一行

    # 计算原卦的二进制值
    a0 = (k2['yao1'] + k2['yao2']*2 + k2['yao3']*4 + 
          k2['yao4']*8 + k2['yao5']*16 + k2['yao6']*32)

    # 依次翻转每一爻，得到新卦的二进制值
    a1 = (k2['yao1'] + k2['yao2']*2 + k2['yao3']*4 + 
          k2['yao4']*8 + k2['yao5']*16 + (1 - k2['yao6'])*32)

    a2 = (k2['yao1'] + k2['yao2']*2 + k2['yao3']*4 + 
          k2['yao4']*8 + (1 - k2['yao5'])*16 + k2['yao6']*32)

    a3 = (k2['yao1'] + k2['yao2']*2 + k2['yao3']*4 + 
          (1 - k2['yao4'])*8 + k2['yao5']*16 + k2['yao6']*32)

    a4 = (k2['yao1'] + k2['yao2']*2 + (1 - k2['yao3'])*4 + 
          k2['yao4']*8 + k2['yao5']*16 + k2['yao6']*32)

    a5 = (k2['yao1'] + (1 - k2['yao2'])*2 + k2['yao3']*4 + 
          k2['yao4']*8 + k2['yao5']*16 + k2['yao6']*32)

    a6 = ((1 - k2['yao1']) + k2['yao2']*2 + k2['yao3']*4 + 
          k2['yao4']*8 + k2['yao5']*16 + k2['yao6']*32)

    # 结果列表
    result = pd.DataFrame()

    # 查找对应的卦象
    for a in [a0, a1, a2, a3, a4, a5, a6]:
        row = Map64Gua[Map64Gua['value_2binary'] == a]
        if not row.empty:
            result = pd.concat([result, row], ignore_index=True)

    return result