各种忙碌的工作小故事
This attack cannot crack the WIFI password, and changing the WiFi password cannot mitigate such attacks.
放些辣子花椒熬出来，那味道一定香得很。
Only in the last ten kilometers, I felt slightly pushing my feet, took off my shoes to move my socks, and the feeling of trying again did not decrease. This kind of situation has also occurred in cross-country drivers before. There are no more than two reasons. One is that the shoes are not suitable or the shoelaces are slightly loose. The other is that the socks do not fit. The third is that the feet slide forward when going downhill. Of course, either of the above situations occurs when the slope is downhill. I asked my friends, and two of them had the same situation as me. Judging from experience, it should not be the cause of shoes and socks, it is purely caused by downhill, and it may be that one's shoelaces are not fixed to one's feet.
Big Brother, do you think we will seriously calculate this? It is good to be optimistic about the fighting force directly. It is useless to care too much about DOTA to calculate this. After the calculation, the opposite side has gone away.
Intelligence +50
新晋网红打造的MCN公司，老板向东流手下拥有两名得力干将，负责内部管理的叶之舟和负责市场营销的曾心。然而，有关向东流和叶之舟的流言从未间断，向东流在此时提出离婚，一时间谣言甚嚣尘上。充满市场敏锐度的曾心提议趁此机会做一场离婚直播，叶之舟劝阻无效，离婚仪式被提上日程，也因此引发了向东流妻子的不满。离婚仪式在众人合力之下完美收场，随后向东流意外晋升叶之舟为总经理，也点燃了叶之舟与曾心之间的斗争。而另一边，叶之舟答应实习生范思哲成为他研究心理学的对象，范思哲却是流言中插足向东流婚...
/hungry
在望弟的细心照顾下招福日渐康复，两人日久生情。另一方面招家上下都无法容忍招积的行为，便请来了太叔公（乔宏 饰）重选当家，望弟觉得招福有权利争取到自己的一切，便努力训练招福…
太祖有训……徐文长说着说着，突然呆住。
Star Firefox 2
张翠山和他妻子殷素素、儿子张无忌从孤岛回来为他师父祝百岁大寿，途中无忌被玄冥神掌所伤。张无忌与小昭掉下悬崖，巧遇火头陀学会九阳神功摆脱了寒毒。张无忌和小昭决定去光明顶，帮助外公白眉鹰王。蒙古郡主赵敏暗算明教，张无忌找赵敏要解药，赵敏要张无忌答应三件事。白眉鹰王等人到少林寺要为明教讨回公道，张无忌用乾坤大挪移心法救出张三丰。赵敏临走时告诉张无忌，要救六大派，到大都找她。
这是一个家庭里三个表姐妹的青春故事，她们在同一时间完成成人礼，成为社会人，从梦想走进现实，触摸生活实质甚至残酷的一面，每人都发现自己要面对一个超高难度的命题，生活等着看她们出洋相，可她们不服、不愤、不屈，不但要用智慧给出完美答案，还要翻越父母意志的高山阻挡，个性和理想是她们前往的彼岸。
Charming Vietnam 20171108 Episode 2
InitialValue whose value is used for the first parameter of the first call to callback
Return string [i];
Probability Theory: This one is not specially recommended, because it is not very good at learning, so it is misleading not to make recommendations. No matter what books you read, you just need to master the key knowledge. Can't ask Bayes when the time comes, you don't even know how to push it = =!
