题解 | 矩阵和向量的点积

def matrix_vector_dot_product(matrix, vector):
    # 补全代码
    if not matrix or not isinstance(matrix, list) or not isinstance(matrix[0], list):
        return -1
    # 获取矩阵列数和向量长度
    matrix_cols = len(matrix[0])
    vector_len = len(vector)
    # 维度校验：矩阵列数 != 向量长度，返回-1
    if matrix_cols != vector_len:
        return -1
    # 计算点积：逐行计算乘积和
    result = []
    for row in matrix:
        # 确保每行长度一致（避免不规则矩阵）
        if len(row) != matrix_cols:
            return -1
        row_sum = sum(x * y for x, y in zip(row, vector))
        result.append(row_sum)

    return result
# 主程序
if __name__ == "__main__":
    # 输入矩阵和向量
    matrix_input = input()
    vector_input = input()

    # 处理输入
    import ast
    matrix = ast.literal_eval(matrix_input)
    vector = ast.literal_eval(vector_input)

    # 调用函数计算点积
    output = matrix_vector_dot_product(matrix, vector)
    
    # 输出结果
    print(output)