reconnaissance penetration optimized scanning
redis 替换keys方案 scan
redis 替换keys方案 @Autowiredprivate RedisTemplate redisTemplate; public Set<String> keyScan(String key) { //批量查询需要统计的数据 Set<String> keys = (Set<String>) ......
A clock IOB / clock component pair have been found that are not placed at an optimal clock IOB /
A clock IOB / clock component pair have been found that are not placed at an optimal clock IOB / clock site pair. The clock component <clk_IBUFG_BUFG> ......
Table does not support optimize, doing recreate + analyze instead
使用情况： 当您的库中删除了大量的数据后，您可能会发现数据文件尺寸并没有减小。这是因为删除操作后在数据文件中留下碎片所致。 OPTIMIZE TABLE只对MyISAM, BDB和InnoDB表起作用。 对于BDB表，OPTIMIZE TABLE目前被映射到ANALYZE TABLE上。 对于Inn ......
一文详解贝叶斯优化（Bayesian Optimization）原理
参考资料： Expected Improvement formula for Bayesian Optimisation 通俗科普文：贝叶斯优化与SMBO、高斯过程回归、TPE 理解贝叶斯优化 A Tutorial on Bayesian Optimization 贝叶斯优化是一种求解函数最优值的算 ......
definition of the convex optimization
A convex optimization problem is one in which the objective and constraint functions are convex, which means they satisfy the inequality \(f_i(\alpha ......
linear optimization
\(\begin{array}{ll}\operatorname{minimize} & f_0(x) \\ \text { subject to } & f_i(x) \leq b_i, \quad i=1, \ldots, m .\end{array}\) As an important exa ......
5.4 Bounds on the optimal code length (Shannon-Fano coding)
From section 5.3, we have \(l_i^*=-\log_D p_i\), but it may not be integer, and we should choose \(l_i\) close to \(l_i^*\). So round it up using the ......
5.3 Optimal Codes
From Section 5.2, we know that any prefix code satisfies Kraft inequality. Our goal is to design prefix codes with minimum \(L(C)\), by Kraft inequali ......
LabWindows/CVI Scan( )函数
背景介绍 Scan()可以将字符串按照用户 formatString 格式说明分解成多个组件。最多可以分解29个组件。 Scan()很强大且复杂，使用起来容易出错，但它却被频繁使用。 Scan()函数 函数头文件：#include <formatio.h> 函数原型：int Scan (void * ......
ValueError: ('`tf.compat.v1.keras` Optimizer is not supported when eager execution is enabled. Use a `tf.keras` Optimizer instead, or disable eager execution.')
ValueError: ('`tf.compat.v1.keras` Optimizer (', <tensorflow.python.keras.optimizers.SGD >, ') is not supported when eager execution is enabled. Use a ......
[894] Optimize arcpy scripts
ref: Parallel Processing Factor (Environment setting) ref: Write geoprocessing output to memory Parallel processing arcpy.env.parallelProcessingFactor ......
redis中各种scan命令学习
转自：https://blog.csdn.net/qq_40399646/article/details/109034331，这个博客讲的非常好 http://jinguoxing.github.io/redis/2018/09/04/redis-scan/ 1.介绍 keys命令可以列出所有满足特 ......
C#开源、功能强大、免费的Windows系统优化工具 - Optimizer
前言 今天给大家推荐一款由C#开源、功能强大、免费的Windows系统优化工具 - Optimizer。 工具介绍 Optimizer是一款功能强大的Windows系统优化工具，可帮助用户提高计算机性能、加强隐私和安全保护。该工具支持22种语言，同时提供了许多实用的功能，如关闭不必要的Windows ......
Docker - Optimized Dockerfile
We have the incentive to optimize our Dockerfile to build smaller images. Some of the points that we can probably come up with would be the following: ......
[20230908]Oracle Index Range Scan with LIKE Condition on Wildcard '_'.txt
[20230908]Oracle Index Range Scan with LIKE Condition on Wildcard '_'.txt--//昨天看链接：http://ksun-oracle.blogspot.com/2023/09/oracle-index-range-scan-wit ......
ScannerException: while scanning for the next token found character ‘@‘ 问题
1.今天运行程序，突然报错，显示 ScannerException: while scanning for the next token found character ‘@‘ 问题，上网搜索，有好多原因，最简单的解决方法是刷新maven，后来就好使了。其他原因可参考博客：ScannerExcept ......
粒子群算法(Particle Swarm Optimization, PSO)
Particle Swarm Optimization 算法原理参考: https://zhuanlan.zhihu.com/p/404198434 Question 使用PSO算法计算函数$ f(x) = x_1^2 + 3 x_2^2 - x_1 + 2 x_2 - 5 $ 在 \(x \in ......
Worst-Case Optimal Joins
Worst-Case Optimal Joins 当且仅当连接算法的计算复杂度不高于AGM bound，该算法才是Worst-Case Optimal的。 而计算AGM bound，需要计算fractional edge cover，也就是最小边覆盖。它要求给每条边赋权，所有权重之和最小，并且每个顶 ......
PentestGPT：A GPT-empowered penetration testing tool
一、What is PentestGPT？ PentestGPT是一种由大型语言模型（LLMs）赋能的渗透测试工具。它旨在自动化渗透测试过程。它基于ChatGPT构建，并以交互模式运行，以指导渗透测试人员在整体进展和具体操作上。 General Design PentestGPT提供了一个统一的终端 ......
gorm stdErr = sql: Scan error on column index 0, name "total": converting NULL to float64 is unsupported
前言 使用 gorm 查询时，报错：stdErr = sql: Scan error on column index 0, name "total": converting NULL to float64 is unsupported 代码如下 var total float64 res := db ......
HBase学习4（导入数据、计数器、scan扫描、过滤器）
1.导入数据集 先上传文件到指定目录，后执行下面的语句 hbase shell /export/software/ORDER_INFO.txt 2.查看表中有多少条数据（计数器） 语法：count ‘表名’ 缺点：比较慢，当数据量更大的时候可以使用HBase中提供的MapReduce程序来进行计数统 ......
每日学习之计数器和简单scan扫描操作
4.7导入文件 首先将资料中的ORDER_INFO.txt文件导入到export/software中，之后执行 hbase shell /export/software/ORDER_INFO.txt 4.8 计数操作 4.8.1查看ORDER_INFO表中一共有多少条记录 语法：count ‘表名’ ......
Proj. CRR Paper Reading: Optimal Speedup of Las Vegas Algorithms, Adaptive restart for stochastic synthesis
Title Adaptive restart for stochastic synthesis PLDI 2021 Task Distribute the power between multiple runs in stochastic program synthesis to accelerat ......
Common optimize technique
# Vectorization（矢量化） Before we understand the vectorization, we can see a common secnario. We have a array that has 100 float numbers, we want to calc ......
MySQL的Equality Range Optimization of Many-Valued Comparisons
最近新上线的系统中遇到一个SQL，明明可以使用索引，但是发现实际执行并没有使用到索引。SQL的主要特点是where子句中，in判断中有大量的条件。类似如下： select * FROM a WHERE td in ('2023-08-01') and fuid in ('2','3','41','4 ......
Compiler optimization
1. 化简 - 代数化简 - 常量折叠 2. 内联 - 内部函数和外部函数 3. 指针 - 指针别名 - 合并写入 - 不能跳跃 4. 矢量化 - 使用更宽的寄存器xmm和ymm - 自动调用标准库 - 使用SIMD汇编指令（特殊情况使用边界特判） 5. 循环 6. 结构体 - 结构体内存布局 7. ......
This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.To enable the following instructions: AVX2 FM ......
强化学习 Proximal Policy Optimization (PPO)
参考: [李宏毅老师课件](https://speech.ee.ntu.edu.tw/~tlkagk/courses/MLDS_2018/Lecture/PPO%20(v3).pdf) PPO = Policy Gradient 从 On-policy 到 Off-policy, 再加一些const ......
org.apache.jasper.servlet.TldScanner$TldScannerCallback.scan(Lorg/apache/tomcat/Jar;Ljava/lang/String;Z)V 解决
原因 <dependency> <groupId>org.apache.hive</groupId> <artifactId>hive-jdbc</artifactId> <version>3.1.3</version> </dependency> 解决 <dependency> <groupId> ......