import numpy as np

def calculate_covariance_matrix(vectors):
    # 补全代码
    mat=np.array(vectors)
    mean=mat.mean(axis=1,keepdims=True)
    centered=mat-mean
    n=mat.shape[1]
    cov_matrix=(**********)/(n-1)
    return cov_matrix.tolist()

# 主程序
if __name__ == "__main__":
    # 输入
    ndarrayA = input()

    # 处理输入
    import ast
    A = ast.literal_eval(ndarrayA)

    # 调用函数计算
    output = calculate_covariance_matrix(A)
    
    # 输出结果
    print(output)