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How to determine the longest increasing subsequence using dynamic programming?

... N) Now let's do a real example: Collection of integers: 2 6 3 4 1 2 9 5 8 Steps: 0. S = {} - Initialize S to the empty set 1. S = {2} - New largest LIS 2. S = {2, 6} - New largest LIS 3. S = {2, 3} - Changed 6 to 3 4. S = {2, 3, 4} - New largest LIS 5. S = {1, 3, 4} - Changed 2 to 1 6. S = {1, ...
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Difference between wait and sleep

... 368 wait waits for a process to finish; sleep sleeps for a certain amount of seconds. ...
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__attribute__ - C/C++ - 清泛网 - 专注C/C++及内核技术

...对,可以这么写: struct foo { int x[2] __attribute__ ((aligned (8))); }; 如上所述,你可以手动指定对齐的格式,同样,你也可以使用默认的对齐方式。如果aligned后面不紧跟一个指定的数字值,那么编译器将依据你的目标机器 情况使用...
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How to convert byte array to string and vice versa?

... a String using: byte[] bytes = {...} String str = new String(bytes, "UTF-8"); // for UTF-8 encoding There are a bunch of encodings you can use, look at the Charset class in the Sun javadocs. share | ...
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C++ : why bool is 8 bits long?

In C++, I'm wondering why the bool type is 8 bits long (on my system), where only one bit is enough to hold the boolean value ? ...
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How exactly does the python any() function work?

... 168 If you use any(lst) you see that lst is the iterable, which is a list of some items. If it conta...
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Is there a way to use SVG as content in a pseudo element :before or :after

... 8 Answers 8 Active ...
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Tool to read and display Java .class versions

... | edited Mar 8 '12 at 15:22 Community♦ 111 silver badge answered Aug 26 '08 at 7:16 ...
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搭建高可用mongodb集群(四)—— 分片 - 大数据 & AI - 清泛网 - 专注C/C++及内核技术

...好了,安装软件! 1、准备机器,IP分别设置为: 192.168.0.136、192.168.0.137、192.168.0.138。 2、分别在每台机器上建立mongodb分片对应测试文件夹。 #存放mongodb数据文件 mkdir -p /data/mongodbtest #进入mongodb文件夹 cd /data/mongodbtest ...
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How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly

... 2 0 0 1 2 1 0 NaN 0 2 0 0 NaN 3 0 1 2 4 0 1 2 In [58]: pd.isnull(df) Out[58]: 0 1 2 0 False False False 1 False True False 2 False False True 3 False False False 4 False False False In [59]: pd.isnull(df).any(axis=1) Out[59]: 0 False 1 ...