从两个具有近似值的二维数组中查找行索引

def find_row_index(arrayA, arrayB, target):
    min_diff = float('inf')  # 初始化最小差值为正无穷大
    row_index = -1  # 初始化行索引为-1，表示未找到

    for i in range(len(arrayA)):
        for j in range(len(arrayA[i])):
            diff = abs(arrayA[i][j] - target)  # 计算当前元素与目标值的差值
            if diff < min_diff:
                min_diff = diff
                row_index = i

    for i in range(len(arrayB)):
        for j in range(len(arrayB[i])):
            diff = abs(arrayB[i][j] - target)  # 计算当前元素与目标值的差值
            if diff < min_diff:
                min_diff = diff
                row_index = i + len(arrayA)  # 在数组B中的行索引需要加上数组A的行数

    return row_index