From 33511d7271212e7746a4cd980c74edf38438a2a3 Mon Sep 17 00:00:00 2001 From: "jingchao.wu" Date: Sat, 7 Dec 2024 13:10:48 +0800 Subject: [PATCH] Site updated: 2024-12-07 13:10:46 --- 2015/02/23/new-start/index.html | 77 + 2015/02/28/hint-fiction/index.html | 539 ++ .../mysql-forget-the-root-password/index.html | 85 + 2015/03/16/rsync-backup/index.html | 141 + 2015/03/16/ssh-public-key-login/index.html | 97 + .../index.html | 206 + .../index.html | 274 + .../index.html | 444 ++ .../index.html | 377 + .../index.html | 303 + .../index.html | 306 + .../index.html | 222 + .../index.html | 512 ++ .../index.html | 373 + .../index.html | 256 + .../index.html | 177 + .../index.html | 103 + .../index.html | 976 +++ .../index.html | 995 +++ .../index.html | 398 + .../index.html | 649 ++ .../index.html | 413 + .../index.html | 122 + .../25/android-source-compilation/index.html | 112 + .../index.html | 343 + .../index.html | 206 + 2016/04/03/java-rsa-encryption/index.html | 136 + 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2015年正月初五,试图寻找真实的自己,Mark!

+ + + + + \ No newline at end of file diff --git a/2015/02/28/hint-fiction/index.html b/2015/02/28/hint-fiction/index.html index e69de29..4878c78 100644 --- a/2015/02/28/hint-fiction/index.html +++ b/2015/02/28/hint-fiction/index.html @@ -0,0 +1,539 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 三年收集的微小说 + + + + +

非商业用途,如有侵权,请告知我,我会删除。(wujingchao92@gmail.com)

+
他成绩很好。父亲是农民,经常去看他,光脚,戴草帽。在窗外看着他傻笑。他恼道:不许再来!
+父亲默默走了。后来,他上大学,又入政坛,再入监狱,财产充公。父亲去看他,穿着极不合身
+的西装,在窗外看着他傻笑道:怕给你丢人,借的。他潸然泪下……
+


+
如来派唐僧师徒四人东去传教,路遇各种磨难,发觉众妖均有后台,遂沙僧钻进流沙河,八戒
+躲进高老庄,只剩悟空护送唐僧。天庭如来商议,以保唐僧平安为条件,解决悟空,遂悟空被
+压五指山下。五百年后,悟空从五指山下蹦出,大闹天庭后,在东海把自己变成了石头。
+


+
 郑国有个人想买鞋,他量好脚的尺码后直奔鞋店,但到了鞋店他一摸口袋:“哎呀我忘了!”于
+ 是急忙回家。有人拉住他笑道:“为什么不直接用你的脚去试穿呢?你宁愿相信尺码也不相信自
+ 己的脚,不觉得太死板了吗?人一定要学会灵活变通,否则今…”“你能放手吗?我是忘了带钱。”
+


+
她是全公司最无趣的员工,没想到有天会被经理搭讪。“我有车,送你吧?”她心跳加速,摇头道:
+“不用。”“别客气。”“您爱人不介意?”“不会的。”“多不好意思…”“呵呵,要不要,给句话。”她终
+于勇敢地点点头,却忍不住补充道:“送了我就是我的了,不许再要回去啊。”
+


+
老妇擦拭阁楼找到的油灯,她的猫躺在身旁。一个妖怪从灯里跳了出来,给她三个愿望。老妇:
+“钱,青春,把猫变成英俊王子。” 烟雾过后她变得年轻貌美,周围是财宝,猫没了,一个王子
+ 搂着她。她在王子的怀抱中,飘飘欲仙。王子在她耳边温柔细语:“你阉了我,现在后悔了吗?
+


+
皇帝穿着只有聪明人才能看见的“新衣”在大街上巡行,所有人为了显示自己的聪明,都高声赞美
+着。这时,突然一个男孩大声说:皇帝没穿衣服!人们顿时安静下来,愧疚地看着那个男孩,感
+叹男孩纯洁的心灵和无畏的勇气。男孩停了一下,又大喊道:接下来该皇后了吧?
+


+
白雪公主逃走后,沿着武士的指引来到森林寻找生命中的小矮人,果然不一会就看到七个人在一
+起,公主赶紧跑过去挨个吻了一遍,高兴地说:“终于找到你们了,我亲爱的小矮人!”领头的瞎
+子用拐杖将白雪公主打翻在地,对旁边一个呆呆傻傻的小伙子说道:“靖儿,这哪里来的妖女?”
+


+
女孩生日那天,男孩蒙住她的眼睛:“宝贝跟我来。”半小时后,男孩说:“睁开眼吧。”女孩看着
+周围陌生荒凉的一切,满怀期待地盯着男孩,男孩拿出一部iphone5给她。女孩激动地喊:“爱
+死你了,这个礼物好棒耶!”“给你父母打个电话,就说你在我手上。”男孩冷冷地说。
+


+
儿子回到家,见老父躺在沙发上,一脸痛苦。“爸,头又痛了?”“是…但主要还是被你媳妇儿气的!
+她完全不关心我死活!”“爸,她也许不知道您犯病了。”“她知道!她还幸灾乐祸哪!你听!”儿子
+便竖起耳朵,听见房间里传出妻子欢快的歌声:“公公他偏头痛~公公他偏头痛~~”
+


+
拥挤不堪的公交车上,年轻男孩紧紧地搂着刚下班的女友在耳边承诺:“现在的你肯跟着我一起挤
+公交,委屈你了,以后我一定让你坐上我的车接你下班回家。”三年后,同样的地点,女孩感动地
+望着驾驶员……经过不懈的努力,男孩终于成为了公交司机。
+


+
她常独自开车,时常感到寂寞。她给丈夫打电话,丈夫都是一个字:嗯。后来她和老板好上了,常
+在电话里讲有趣段子。一日出差和老板聊得分了心,出了车祸。陪伴她的只有丈夫。丈夫握着她的
+手说,每次打电话我都不敢多说一个字,就怕耽误你开车…她紧闭双眼装熟睡,眼泪慢慢滑落。
+


+
打听到那姑娘文艺范,木讷的小伙决定开场白就聊聊刚获奥斯卡奖的导演吧。两人在咖啡店坐下,
+他鼓起勇气问道:“Have you heard of Ang Lee?”谁知姑娘听了立马就走,只听她对着电
+话怒骂:“尼玛你介绍的是什么人?一见面就问我知不知道安利!!!”
+


+
多年后再次接到她的电话,发霉的阴天他正在想她,犹豫了好久还是接了:“喂…”以为她会说什
+么,电话那头只是长长的沉默,“还好吗?”他问,依然没有回答。回忆与怀念泛滥决堤,他发了
+狂:妳知不知道我好想妳啊!电话那头终于传来了悠远熟悉的声音:宝贝,别玩妈妈的电话乖…
+


+
认识她那天,她一直低头玩ipad,和酒桌气氛格格不入,后来他对她关怀备至,为她跑东跑西,
+但还是没好意思没有开口。有一天,有人来找麻烦,大闹公司,碎玻璃割伤了她,他风一般背她
+到医院。她含泪问他为什么对她那么好,他终于开口:就想借ipad玩两天…
+


+
路上,女孩撒娇让男孩背她,男孩很吃力的背了起来。女孩娇嗔道,“我也不是很沉,你怎么这么
+吃力?”“因为对我来说,你就是全世界…”男孩话未说完,女孩便笑靥如花。整个画面仿佛因为女
+孩的笑声而平添了几分温暖。男孩只好把刚到嘴边“最重的人”四个字硬生生给咽了回去。
+


+
小明第一天上幼儿园,放学回来时对爸爸说:“爸爸,老师今天说,以前养一只小鸡至少要半年才
+能长成,现在四十多天就能吃了,这是为什么呀?”爸爸想了想,然后说道:“那有啥的,我和你
+妈在一起七个月就有你了,别人都是十月怀胎,儿子你说为什么呢?”“叔叔,我不知道。
+


+
她坐在男友的自行车后座上,忽然一辆宝马停在他们身边。宝马里是她前男友,前男友降下车窗问
+她:你不后悔吗?她说,不后悔,你的宝马是你爸给你的,十年之后我俩也会有宝马的。这应该就
+是最纯洁励志的爱情故事吧……十年后,她的自行车换成了电动车。他的宝马换成了兰博基尼。
+


+
地上有个编织袋。他好奇上前。袋子突然动起来,里面传来声凄厉的猫叫,吓了他一跳。他找来根
+棍子一下一下狠狠地向袋子打去。渐渐地,血染红了编织袋,猫不再动弹。他也累了,便靠在墙角休
+息。一觉醒来,他发现自己被装在一个编织袋里,透过袋子的缝隙,他看见了自己,于是他惊恐地大
+叫:喵!
+


+
那年,他坐在咖啡店等朋友,一位女孩走过来问:你是通过王阿姨来相亲的吗? 他抬头打量一下她,
+正是自己喜欢的类型,心想何不将错就错,于是忙答应道:对,请坐。…… 结婚当天,他坦白当时自己
+不是去相亲的。老婆笑,说:我也不是去相亲,只是找个借口和你搭讪....
+


+
读幼儿园的女儿特别喜欢跳舞,可这次去表演没女儿的份,女儿很失落。就在演出的头天,一个孩子
+说不能参加,让女儿当了替补,女儿很兴奋。等我忙完赶去时表演已经结束,一路上女儿向我描述她
+在舞台上跳得多么好,我有些哽咽,因为在电话中老师告诉我那孩子来了,女儿没上台。
+


+
男人打电话给老婆:“亲爱的,整理下行李,我在宾馆订了房,咱出去住几天。”“哎?这是刮的哪阵
+风呀?”她问。“呵呵,你也知道我今天一天都在外面玩儿扑克了么不是!”“真的?!”她惊喜地叫出
+声来,“你赢了多少?!”“啥…都没赢”男人顿了顿说,“把咱房子给输了。”
+


+
她同意他的表白了,他那么开心,可始终不能再进一步,好几次碰到她的手都牵不到。天下着小雨,
+他们各自撑着伞散步,路过小桥时,他看着桥下想,如果把伞扔下去,两人就只能撑一把了,那就
+能搂到她的肩膀,哈这办法太棒了!于是他看了看两人的伞,问她:你那把伞是多少钱的啊?
+


+
失明后他脾气暴躁。妈妈呵斥道:你这样自暴自弃,从今后我只喊你起床吃饭睡觉,不再管你。从那
+以后妈妈每天只跟他说这三句话,他很愧疚,也渐渐平静下来配合治疗。一年后他终于复明,却没看
+到妈妈。家人告诉他:妈妈一年前就去世了,去世之前录下那三句话,不想影响你的治疗… 
+


+
她离乡打工,独子豆豆交给爷爷带。豆豆调皮,常跟隔壁妮妮打架。她恨铁不成钢,春节回家训斥
+豆豆:“不准打架,跟妈妈去隔壁道歉!”豆豆委屈地哭:“谁叫她骂我是骗子。”到了邻居家。一见
+到妮妮,豆豆攥紧妈妈的手,骄傲地对妮妮说,“哼,你看!我没骗你吧?我也有妈妈!”
+


+
那年,他坐在咖啡店等朋友,一位女孩走过来问:你是通过王阿姨来相亲的吗? 他抬头打量一下
+她,正是自己喜欢的类型,心想何不将错就错,于是忙答应道:对,请坐。…… 结婚当天,他坦白
+当时自己不是去相亲的。老婆笑,说:我也不是去相亲,只是找个借口和你搭讪……
+


+
一直怀念高中和同桌没捅破的爱情,28岁还没谈过恋爱,父母到处为我安排相亲。一天,母亲电话
+说安排了一个相亲。跑去一看女孩竟然是高中同桌!我激动的脑子发热,开口就问:谈吗?女孩:
+谈!我又问:订婚?女孩:订!双方父母目瞪口呆,相亲宴在4句话6个字后变成了订婚宴。
+


+
从开学的那一天起,我对同班的他一见钟情。四年的课上,我必定带着最爱的柠檬茶,默默地坐在
+他身后的第三排座位。今天是大学最后的一节课,我的位置依然,只是没有心情带上柠檬茶。下课
+了,我要走了,只是,突然我眼前亮起了一盒柠檬茶,他说:以后不要再坐在我身后了,跟我一起
+走吧。
+


+
感冒了很难受,她闷在被窝里给男友发短信“我感冒了…”并决定如果对方回答“多喝点水”就一脚踹
+了他。过了一会儿收到短信:“开门。”这个大笨蛋!谁让他来的啦!她起身用最快的速度冲去门口,
+此时手机再次振动,她一手开门一手兴奋的点开:“多呼吸点新鲜空气,运动运动。”
+


+
“你知不知道,我们两个月没有通电话了?” “两个月零七天” “为什么不给我打电话了?” “你有
+男朋友了” “有男朋友难道就不可以有男性朋友了嘛?” “你有男朋友心里话会对他说了,有什么
+事,他也会照顾你的,应该用不到我了。不是我不想联系,只是,我再也找不到打电话的理由。”
+


+
有一鬼,因得罪阎王,受罚永世不得超生,沦为孤魂野鬼,终日悲泣不已。一日,偶得一神灯,
+言可满足其三个愿望,鬼大喜:“第一得一顿饱餐,第二得一貌美娇妻”果然一桌盛宴摆下,
+一位美女傍身,魔鬼催促其说出第三个愿望,美女正被调戏,不由娇嗔道:“死鬼……”
+


+
我有一个小小的愿望,在我年老时,孙子问我的初恋情人是谁的时候,我不是去翻看相册,而
+是手一扬指向你坐的位置说就是那个老太婆,然后你向我娇羞的一笑。多清新啊! 然后…………孙
+子高兴的跑到你面前大声的问,“姥姥是你吗”!
+


+
她配不上他,所有人都这么认为,包括她自己。他仍坚持同她结婚,婚后日子过得很幸福,只是多
+年都没孩子。她怀疑是自己问题,日渐消沉,却无意间发现他的不育报告,暗暗松了口气。几年后,
+她因病去世,他再婚。婚后不久,新婚妻子便怀孕,看着她照片,他喃喃说:至少走时你是安心的吧。
+


+
他突然发来条短信:快说你爱我。她有些疑惑地回复:我爱你……他很快回复:我爱你…….她回复:?
+你怎么啦?喝酒了还是做了什么对不起我的事?他回复:嘿嘿,小傻瓜,仔细数数那些点,我只是
+想告诉你,我爱你多一点。晚安,好梦。
+


+
一个朋友,最近谈了恋爱。很奇怪,他跟女孩从来不打电话,也不带来与我们相见。办公室里八卦的
+人开始议论,有说他是出柜的,有说其实根本就没谈。我把这些流言告诉了他,他只是笑笑说:“让
+所有人以他们喜欢的方式相处吧!”后来他真的结婚了。婚礼上,我看到了他的聋哑新娘…
+


+
他暗恋她很久,但她很少主动联系他。那天23点多,他突然收到她的短信:天凉了,多加衣服哦。
+他欣喜不已:怎么这么晚还不睡呢。她回:有人过生日,还不能睡哦。第二天,他恍然大悟,昨天
+就是她生日啊,如此委婉地期待自己的祝福。她对朋友说:尼玛昨晚那个大冒险真TMD损!
+


+
住我家楼下的那个男孩子,我每次放假回家都会给我人人留言,但我从未回复过。显然这次我搬回家
+他已经知道了,刚才我的手机又闪烁了一下,是他,坚持四年都问同一个问题,现在我毕业了,今晚
+决定正面这个问题,所以我立刻回复他:不行!都他妈四年了,你家就不能办个宽带吗!
+


+
又被男友甩了,她心如死灰。为什么?总是喜欢天蝎男孩,又总是被甩。偏偏今天有场很重要的考试,
+她只好强忍痛苦集中着精神。忽然监考老师说:“请大家不要忘记天蝎座…”“不!”她起身狂奔出教室,
+眼泪飞成两行。老师惊讶地看她跑远,转过头继续说:“不要忘记填写座位号…”
+


+
医院挂号处遇到一个让我心动的女孩,她排外队伍的最前头,我在她隔几人的身后。好几次鼓了鼓勇
+气想要走近搭讪,却都无功而返。眼瞅着她从小窗里拿出病例本转身向我这边走来,我知道这擦身而
+过会抱憾终生,这才红着脸怯生生地挤出几个字:“你有病吧?”
+


+
他们在一个单位工作,她喜欢他很久。为了能多看他一眼,她不惜每天找各种借口去他的部门。可是,
+她一直没能鼓起勇气跟他告白。一年后他要结婚了,在婚礼的前一天,她喝的酩酊大醉哭着给他打
+电话:“我喜欢你整整一年。”他沉默不语,挂了电话。随后她收到一条短信:“我等了你整整一年。”
+


+
某君高中时沉迷网络,时常半夜翻墙出校上网。一日他照例翻墙,翻到一半即拔足狂奔而归,面色
+古怪,问之不语。从此认真读书,不再上网,学校盛传他见鬼了。后来他考上名校,昔日同学问及此
+事,他沉默良久说,那天父亲来送生活费,舍不得住旅馆,在墙下坐了一夜。
+


+
在医院,他拿着一个病人的片子端详半天,摇头叹道:“哎,不行了,没希望了,准备后事吧。”病人
+闻言泪流满面,大哭道:“啊!不可能!不可能!我只是肚子痛,怎么会!”“没用的,放弃治疗吧。”
+他一脸无助的表情…话音刚落,旁边的大夫冲他喊道:“滚出去!又出来胡闹!”
+


+
他们中午大吵了一架,她摔门而去。晚上她回来,他还在气头上对她不理不睬,她含泪问到“要是我死
+了你会怎样?”他说“与我无关!”她听后缓缓走出家门。半小时后他接到电话赶到医院,医生说“她下
+午车祸送进来时生命迹象一直很强,但半小时前,她仿佛放弃了自己,停止挣扎!”
+


+
小花和小明是一对青梅竹马的小朋友。这天他们在厨房里一起做牛奶麦片。小花对着食谱念道:“首先,
+要用小火拌煮10分钟。小明听后沉默了半晌,仿佛下了很大的决心,说道:“好吧……如果一定要这样煮
+的话。”然后决绝地跳进了锅里。
+


+
一姐们知道老公有小三儿后没哭没闹,只是给孩子报了俩兴趣班,给自己办了两张美容卡,给两家老
+人又买了份意外保险,自己买了名牌包和衣服,她老公也并非超级有钱,这份开销不能拮据家人只能
+拮据小三,于是小三不满,俩人不欢而散。这姐们事后只说了一句话:呵呵,和我比花钱?
+


+
“七夕了,我想跟她告白,帮个忙,零点的时候给她发条短信说:李二狗很喜欢你,可以做他女朋友
+吗?谢谢!” 他在网上到处求人转门。”这个大笨蛋!谁让他来的啦!她起身用最快的速度冲去门口,
+此时手机再次振动,她一手开门一手兴奋的点开:“多呼吸点新鲜空气,运动运动。
+


+
七夕,他们看完电影,在kfc小坐,他看着她两口吞下一个蛋挞,又库呲库呲吃完了一个鸡肉卷,
+他说:我给你去买个甜筒好不好?她说:不吃,我要吃烤翅。他说:吃甜筒吧,吃点冷的。她说:烤
+翅!都说了要烤翅!于是他走到点餐台边问:服务员,你们有办法把戒指塞进烤翅里吗……
+


+
坐地铁遇到三个布满纹身的小混混。为首的大哥买了三张票,站在检票口,恶狠狠地啪唧往机器上拍
+一张,冷冷地对小弟说:「进。」啪!又拍一张,对另一个说:「进。」等小弟都进去了,大哥深呼吸一
+下,    拍下最后一张票,颠着跳着冲过检票口:「哎呀哎呀!~别夹我别夹我~!」
+


+
多年后,她出席他的婚宴,他变得风度翩翩,侃侃而谈,坐他身旁的是位美丽动人的新娘,虽然看着
+不是滋味,但总得祝贺一番:“多年不见,你变健谈了呢,以前你和喜欢的人说话,舌头总打岔,现在
+能把这么漂亮的新娘娶回来,厉害!” 他听后脸红耳赤起来:“真、真、真的吗?”
+


+
某女和前任分手之后我把他的qq拉黑了。两年多了还是经常半夜通过共同的朋友空间再点去看他的空
+间,每次都删来访记录。有一次凌晨她特别想他,就用手机进他的空间,结果睡着了就没有退出。几
+分钟后被已经烂熟于心的号码发来的短信吵醒:明早起来记得删记录。
+


+
她一个人生活闷了,于是买了只鹦鹉,每天都教他说“欢迎回家”,希望自己每天回家后说“我回来了”的
+时候,能听到一声应答。但这只笨鹦鹉一直都教不会,她气愤的送给邻居,第二天她听到敲门声,开门的
+时候,她看到地上那只被她送走的鹦鹉,口齿不清的说,我回来了。她哭了:欢迎回家。
+


+
 每天,女孩都会来他店里吃饭,坐靠窗位置,点上两份套餐,每次他问起几位用餐,她总是羞涩说
+两个人,可却总是一个人默默吃完。他想也许曾经有个人陪在她身边,但那人已经不在了。终于有天,
+他想过去聆听女孩的故事,却听到她自言自语:“两份的量也那么少,不够吃啊,我去!”
+


+
我酒量很差,两瓶啤酒就能把我灌醉过去。女友平时如果想套我什么话,就会哄我陪她喝酒。今天我早
+上我从宿醉中醒来时,发现女友正满面泪痕地看着我。糟了,一定是昨晚说了不该说的话。“老婆,无
+论我昨晚说了什么都不是真的!”我辩解道。女友狠狠打了我一拳,“你昨晚向我求婚了。”
+


+
医学院有个怪规定,学生毕业前必须单独在太平间待一晚。借着月光,阿美发现太平间的墙上居然有一
+面镜子,为了壮胆和消磨时光,她便对着镜子唱起歌来,一直唱到了天亮…第二天,阿美得意的向同学
+们炫耀昨夜经历,听到她对镜子唱一夜歌时,同学们都脸色惨白…“太平间里根本没有镜子啊”
+


+
表妹大一时,班里只有6个女生,住一个寝室。她在寝室人缘最好,总买夜宵、早饭、零食给室友吃,
+还买了个小蛋糕炉做蛋糕,自己都不怎么吃,每次看别人吃,她就在那里傻笑。室友几个都说:这个
+心地善良的傻姑娘,以后谁娶了谁最有福气。一直到了大二,她成了班里最瘦的女生,然后找到了男
+朋友。
+


+
他在网上卖东西,让她帮忙拉单。“帮我拉单去”“凭什么,你是我谁啊”“只要订单过十我就送你一
+副美瞳”“好”。不一会订单就过了,她如愿以偿拿到美瞳。他笑了笑,悄悄说声:“只是想送你份礼
+物,    怎么    就那么难…”
+


+
“给我倒杯茶!”“拿着我的包!”“真笨!”当着众人面,他对老婆颐指气使,没有“请”,没有“麻烦”,
+绝对强势。好在他老婆唯命是从,倒也和谐。旁人不由对他的家庭地位肃然起敬,对他老婆的善良贤慧
+喜爱有加。“老婆你真好!”一回到家,他便把老婆当成奶奶一样供奉起来。
+


+
女生被室友取笑说找不到男朋友,于是她跑到阳台大喊道,谁要我我以后每天给他洗衣做饭!楼下路
+过的男生抬起头:“你终于想通了,下来吧,具体家务我们从长计议。”男生正是女生暗恋多年的人。
+两人在一起后女生对男生感慨说那天可真巧啊。男生:“哪是巧,我天天在你楼下走。”
+


+
她在一个高层上班,他在她对面的楼里办公。她每天偷看他,猜测他的快乐忧伤,写在微博上。某天
+他突然消失了。她心里一空,发了新微博:“他走了,我想他,他不知道”。立刻弹出一条新评
+论:“傻孩子,我搬到上面那层了。” 她赶紧掏出手机,拨通了一个熟悉的号码:“爸,别闹了”。
+


+
她执意嫁他,那年几乎众叛亲离。他一穷二白,她打工帮补,辛苦持家,还得顾及大男人的自尊。
+婚7年,他创业突进,声名鹊起,闺蜜皆赞她命好眼光准。周年日,她见桌上摆一小锦盒,想起众人
+猜他定送她    大钻戒或豪车,屏气开盒,但只见一张薄纸,上写着:“家务老公使用卡,
+限期:十辈子。”  
+


+
他到机场载客,十年前的女友排到他面前。按规定他不能拒载。车开动,前女友坐在后排一个个电
+话打给家人公司朋友。而他怕她认出自己,想把车上写有名字的牌拿掉。到目的地,前女友平静的
+说:我都已经告诉了你我所有的状况和我的心情,而你…而你连一声你好都不肯跟我说。
+


+
电梯坏了。老实巴交的肯德基小哥也不知道打个电话。像圣斗士一样背着四四方方的大箱子一层层
+地爬楼。我看着有些不忍,就上前与他攀谈,希望借此减轻爬楼的枯燥与疲累。终于,小哥到达了
+13楼。他感激地对我说,谢谢你,大哥。我说,不必客气。把我订的肯德基给我吧。
+


+
七夕节,他给了她一个包裹,要她转交给另一个女孩。她无比不爽,飞快回到家以后气冲冲的将包
+裹拆开。精致的包装盒被扯下,一枚戒指静静地躺着。“哼!”她心酸酸的,恶狠狠的磨牙。随手拿起
+了旁边的纸张,瞄了一眼:“小笨蛋,就知道你会打开看的,七夕节快乐……我爱你。”
+


+
老婆给我生个了女儿。女儿出生时,正好梅花放开。所以我给女儿取名叫亚梅。转眼女儿要上幼儿园
+了,因为离家比较远,为了方便接送,我决定买车。当然,买车前先学车。没想到教练是我邻居。现
+在已经到了练习移库的阶段。每次轮到我练习时,教练细心地提醒我:“亚梅爹,移库!移库!”
+


+
他说,父母不同意他们交往。她说,私奔吧。 他说父母已经帮他选好媳妇。他得回去成婚。她说,
+分手吧。他说他爱她,只要和她离婚了,就娶她。她说,好,我等你。一天他跟她约会。他妻子跑上
+来,给她一个耳光,扯着她的头发骂不要脸的小三!她想还手,却看到他躲在妻子后面,连看也
+不敢看她。
+


+
“给我讲个故事吧。”她对他说。他微笑着说:“从前有个男孩,喜欢一个女孩,他就想方设法接近她,
+和别人打听她的电话,了解她的爱好,和她搭讪,陪她一起看书……他还偷偷地收藏她的照片……”
+他深情地对她说,“有天他把她约出来表白……”“然后呢?”她问。“然后她就让他讲故事。”
+


+
一名劫匪慌忙中窜上了一辆车的后座,上车后发现主驾和副驾的一男一女疑惑地回头看着他,他立
+即拔出枪威胁到“赶快开车,否则老子一枪嘣了你!”于是副驾上的男人对那女的说“大姐,别慌,
+听我口令把刚才的动作再练一遍,挂一档,轻松离合,轻踩油门,走…走…哎,对,走。”
+


+
她喜欢上了图书馆的管理员。为了看到他,她每天都往图书馆跑,埋在一堆书中其实眼神一直在偷瞄
+坐在门旁桌子的他。每天都借几本书只为了能看到他对自己笑一笑。就这样从大一看到了大三,她终
+于鼓起勇气告白了。但她没有发现,每任图书管理员都只做一届,只有他一连做了三年。
+


+
“这个钻戒的名字叫‘永恒’,那个翡翠的叫‘玲珑’,还有那个叫。。。那个叫。。。”“老板,你对这些戒
+指这么了解,那你手上的戒指也不便宜吧?”“这个啊,铁的,老婆送的,戴了三十年,名字叫做‘取
+不下来’。”
+


+
女孩拒绝了男孩的表白:“我整整比你大一岁。”男孩说:“我一个月时你13个月,你是我的13倍。我两
+个月时你14个月,你是我的7倍。我一岁时,你两岁,你是我的两倍。只要我们在一起,我们总在慢慢
+接近。”女孩优雅地说:“别傻了,上完大班我就到奶奶家那边上小学了。”
+


+
康熙日日与韦小宝于御书房比试武艺,见其身手敏捷、聪明机灵,决心委以其刺杀鳌拜重任。这日,
+康熙又将韦小宝唤至御书房,说:“小桂子,你过来,我有要事与你说。”韦小宝进前俯身,耳边传
+来康熙铿锵有力的声音:“刺鳌!”韦小宝瞬时一脚踹飞康熙,怒道:“你他妈怎么骂人呐!”
+


+
大学四年的好友结婚,她主动请缨全程跟拍。半个月后,他来找她:“你拍的带子呢,礼仪公司拍得
+太差!”“真不好意思,弄丢了”“丢了?不会吧”好友黑线,带子好好的摆在书柜上。她阻止不了,
+眼睁睁看着他把带子放入机器,然后呆住,他苦笑,带子没丢,只是没有新娘的镜头…
+


+
今天是他们恋爱三周年的纪念日,吃饭的时候男生忽然拿出一枚戒指:“这是我昨天买的,你猜猜,
+贵不贵?”姑娘有点猝不及防,红着脸说:“贵吧。。。”这时男生单膝跪下,把戒指戴在了姑娘的手
+上:“既然是你要我跪的,那你就得答应嫁给我喽。”
+


+
他跟老婆吵架后说了句:“明天就去离婚!”然后摔门而出。晚上回家,儿子递给他一张纸:“这是妈妈
+给你的。”他以为是离婚协议,纸上却写着:“情书:亲爱的,我们和好吧——我是妈妈。”歪歪扭扭的字
+体一眼便知出自儿子之手。沉默良久,他抱起儿子:“咱们去接妈妈下班喽!”
+


+
我妈从小没妈,后妈手里熬过来,嫁人也只能听父母之命由不得自己,跟着我爸也没享什么福。她说,
+村里的老人家说她是冬天生的羊女,没草吃,命不好。我问她:“我也属羊,也会不好吗?”她肯定
+地说:“不会。”我问:“因为我是春天的羊?”她笑着说:“不是,因为你有我。”
+


+
他跟朋友抱怨:“你知道我妈有多烦吗?整天絮叨,这不能多吃,那有营养,工作累不累,有没有喜
+欢的女孩。天啊,简直要疯!”好友听完,转身递给他一支录音笔。他疑惑:“干嘛?用这个把我妈
+收了?”好友摇头,微笑着说:“帮我录下来吧,我已经三年没听到这样的唠叨了。”
+


+
路上,一对父女。女儿指着地摊的大毛绒玩具说:爸爸,我想要。他爸摸摸她的头:爸没钱,咱不要了
+好不好?小女孩很懂事地点点头:嗯!那等爸爸有钱了再买!爸爸抱着女孩就走了,走了没几步又听
+到小女孩的声音:爸爸,你别哭啊,以后有钱了再买好多好多给我好不好?不哭了,乖…
+


+
老师在案边批阅作文,题为《月球梦》:若能登上月球,你想干什么?有说当舞蹈家的,有说当运动员
+的…孩子们呐,难道都不知道什么是失重状态么?只有某个单亲家庭孩子的作文刺到了老师的泪
+腺:“我想去月球搬砖,既省力,又不怕摔死,妈妈再也不用像担心爸爸那样担心我了。”
+


+
生活平淡如水。得到一次穿越的机会,她便毫不犹豫飞到三十年后。结果看到黄脸婆的自己和亦面目全
+非的老公,还怀抱美女。她回来伤心不已对老公抱怨:“你三十年后人和心都变了。”“怎么可能?!”
+他笃定的说。她刚释然就看到递至面前的离婚书。“你看到的应该是你下任丈夫…”
+


+
她笑着看着他,“我要是带着男朋友来看你,你会祝福吗?”他神色有些僵硬,“会”几天后,她挽着一个
+男的的胳膊来到他面前,他二话不说挥拳揍向那个男的。“我说会祝福,可我没说我不会嫉妒…”地上的男
+的忽然哈哈大笑“我是她表哥”他愣了愣,看向她,忽然发现她的脸也红了。
+


+
妻子那枚小小的钻戒被偷了。可她开心地告诉我:还好前年给妈治病时已经把真戒指当了换医药费,不
+然真是要心疼!我说:这些年委屈你跟我受苦,连陪嫁的戒指都没留下。她说:傻话,有你和孩子在身
+边,我不苦。当晚起夜时,我背着妻子偷偷将那张去年赎当的单子丢入马桶冲掉了。
+


+
他们已经分手很久了,久到已经删了QQ没了手机号,又是很久很久以后,他和她同时受邀参加老同学
+的婚礼,婚礼上她不小心丢失了手机,只有他不翻看通讯录便第一个播出了她的号码,铃声响起,他
+和她同时去捡地上的手机,他不经意间看到屏幕上的来电显示“老公”。
+


+
第一次在女友家吃饭,她突然声称没胃口,推过半碗剩饭来。我犹豫片刻,告诉女友我吃饱了,于是她
+爸笑着把剩饭倒进嘴里。几天后女友发短信宣告分手,因为她爸说我连剩饭都嫌弃,以后还能好到哪去?
+我拿着手机,想着当时她碗里的爆炒猪肝,忍不住流泪自责:妈说的对,挑食害死人哟。
+


+
见第一面悟空便爱上了观音。但因其是佛,惭于启口,无奈西行。路途遥远,相思甚苦,每次借口唐僧
+遇难求救,才偶见一面。八十一难,百年已过。悟空终成佛,见观音:“我爱你,我想带你走。”语音刚
+落,观音哽咽:“傻猴子,当初西天取经,只是救你出五行山下的借口。”
+


+
华山之巅,黄药师向郭靖、黄蓉望了几眼,叹道:“靖儿,你母亡故,明儿你随我回桃花岛,由你大师父
+主婚,完了你与蓉儿的婚事,如何?”郭靖悲喜交加,跪拜在地,冲着山崖吼道:“郭靖明儿要成亲啦!”
+只听山谷间传来一声回音:“新郎是韩寒吗?”
+


+
她再次提出分手。他说:“这次,我再不会和你和好了,你确定吗?”她点头。后来,她后悔了,她以为
+他会像以前一样求和好,他没有。多年后她在没他的日子学会了自立、感恩,就是没学会重新爱上别人。
+她终究还是找了他。她说:“你…还是一个人吗?”他答:“我在等一个人。”
+


+
他看见她在站台上用手语和一个孩子交谈,对她一见钟情。他走过去礼貌地用手语比划着问路,两人相
+恋。其实他会说话,他不顾家人反对要娶她。求婚时他抱住她自言自语地说:“我爱你!“你会说话?”
+她清楚地说出这句话!原来那天她只是给那个聋哑孩子指路。
+


+
他爱她。她说她要在外漂泊够了才回来。他说他等。她把他送她的钢笔还给他,他收下后,再也没用。
+三年后,他终于等到她回来了,可是却是两人一起回的。他没说什么,只是祝福。多年后,他在整
+理东西的时候发现了当年的那支钢笔。他打开了盒子,发现里面有张纸条。“我等你来接我就回
+去……”
+


+
儿子,我们玩个游戏吧?待会有人假装把我抓走,你躲在这,如果天黑前能不哭不闹,我一定给你
+奖励…后来,几个穿黄军装的人把爸爸带走,再没回来。我经常想象他会突然出现在我面前,给我奖
+励。但我知道这不可能:因为那年,是1937年,那个地方,叫南京。
+


+
穿上布鞋,大刘来到酒吧相亲。女孩感觉大刘老土,敷衍几句便走了。后来大刘又相亲好几次,对方
+都因那双鞋避而远之。终于有一个女孩问了大刘穿布鞋的原因。大刘说:“这鞋是母亲临终时留给我的
+幸运鞋,让我遇到人生大事一定要穿上。”女孩听后,眼圈红了。
+


+
某集团欲聘CEO一名,阅人无数未果。孙某前来,一路如入无人之境,老板极其满意,遂走马上任,
+周旋各类会议,张弛有度。内外交口称赞之余纷纷揣度其来历而不得知。晚上回到公寓,孙某和衣卧床,
+枕边《演员的自我修养》摩挲已旧。其实,他不过是个演员。
+


+
他和她分手两年了。两年来他每天习惯性地打开她的博客,看看她一天的心情。她有时高兴,有时悲伤,
+有时失落…他只是静静注视着,不做一点评论,甚至删掉了浏览记录。直到有一天她博客挂满了她的婚
+纱照。下面有一行小字:“我嫁人了,不等你了,不更新了。”
+


+
她参加闺蜜的派对认识了他。他不断找机会接近她,她喜欢他的笑容,一口皓齿,阳光灿烂。他主动跟
+她聊天,约她出去玩。他送她回家,她看着他离去,关上门。手里拿着一份礼物,这是答应帮他追闺蜜
+的红娘礼。她无奈苦笑,把礼物扔进了垃圾桶,泪如雨下。
+


+
他喜欢她很久,为了能多看她一眼,他每天找各种借口去她的部门。可是,他一直没鼓起勇气跟她告白。
+一年后,她要结婚了,在婚礼前一天,他喝的酩酊大醉给她打电话:“我喜欢你整整一年。”她沉默不
+语,挂了电话。随后他收到一条短信:“我等了你整整一年。”
+


+
他把小三带回家吃饭。席间,他妻子不断给她加菜。一天下来,两个女人亲如姐妹。有人说:“那是你老
+公包养的情人。”她笑笑:“如果是真的,他怎么可能敢带她回来吃饭!?真会开玩笑。”别人摇摇头不
+再多说。她一如既往地对他好。以后,那个小三再没出现过。
+


+
男友寄信说要动关系把我调回去,我拒绝了。之后他又来信威胁分手,我痛苦不堪,五年的支教让我
+喜欢上山里的孩子了,我走后他们也就没了希望,我回信:随你吧。不久,他来找我,我说:分手了何
+必来?他笑道:你想得美,局里派我来这当校长,就管你一个老师。
+


+
他,青春叛逆,成天打架,她,成绩优异,笑靥如花。她高一刚转来学校,他第一次见她,就被她深深
+吸引了,开始了疯狂追求,她慢慢被他打动,她说:“只要你能考上清华,我就答应和你在一起。”只见
+他深情回应:“能考上清华我还追你干嘛啊?!哈哈哈哈”
+


+
她离乡打工,独子豆豆交给爷爷带。豆豆调皮,常跟隔壁的妮妮打架。春节回家,她训斥豆豆:“不准
+打架,跟妈妈去道歉!”豆豆委屈地哭:“她骂我是骗子。”到了邻居家,一见到妮妮,豆豆攥紧妈妈的
+手,骄傲地说:“哼,你看!我没骗你吧?我也有妈妈!”
+


+
冬天回乡下收拾房间时,发现父亲给母亲买的保暖裤落在了这。人真是越老越糊涂,买时还说,我跟我
+母亲身材差不多,让我试了一遍又一遍。怎么忘了呢?忙拨通家里的电话,父亲嘿嘿一笑:“傻闺女,
+就是给你买的,快换上吧,你暖和,我和你妈就暖和了。”
+


+
那年毕业,她问他一个问题:“我和你妈妈同时掉到水里,你会救谁?”木讷的他不知所措的站在那里,
+她赌气走了,她走之后越发不安,隔天回到原地,他还在那里,只是手里多了件泳衣,看到她来了,
+他激动又开心地说:“我教你游泳,我们一起救妈妈。”
+


+
今天媳妇告诉我,老公,其实我们是失散多年的兄妹,你左手胳膊处有块疤,我也有!说完抬起她的
+手给我看,老子差点吓哭了!因为我真有,跟她的差不多……后来才知道,小时候打疫苗的人都
+有……
+


+
他把玫瑰藏在背后,探头向厨房望去,从身后给妻子一个拥抱,偷偷将玫瑰搁在她脚边,随后悄悄走
+出了厨房。生活早已柴米油盐,今天是情人节,他想给她一个小小的浪漫。晚饭时他问:老婆,厨房里
+的玫瑰你看见了吗?”“看见啦!快尝尝这盘玫瑰蔬菜色拉。”
+


+
一对盲人父母,在简陋房子里抚养孩子。一天晚上,瓢泼大雨不期而至,警觉的父亲感觉到山体滑坡,
+悄悄地把孩子放进木箱托在手中,当泥水淹没父亲脖子的时候,母亲静静站在父亲的肩膀托起孩子的
+木箱。第二天营救队员掀开房顶救出孩子时,所有人都哭了。
+


+
他捡到了一个玻璃瓶,像传说中那样,在打开的瞬间出现了一个精灵。精灵为了表示感谢,答应满足
+他两个愿望。他说:帮我教训一下那个经常欺负我的混蛋上司;然后,帮我找到那个最爱我的人。两
+秒钟之后,精灵消失了,他的上司鼻青脸肿的出现在他面前……
+


+
相爱五年,他残忍的对她说分手,她发誓恨他一辈子。某天,她途经一个小巷子遇见他被人殴打。她疯
+了般捡起地上的石头、棍子没命的朝那几人扑去,那几人被震慑,落荒而逃。朋友问她,既已恨入骨髓,
+何必出手相救?她摸着狂抖不止的双腿说,因为爱比恨多。
+


+
结婚多年,他睡觉总是躺在床中间。她为了让他睡的好些,总是缩到床边。直到有一天,她差点掉下去,
+终于爆发:“两个人的床,你为什么总是睡在中间?我让了你这么久,要让到什么时候?”他委屈地看
+着她:“你一直都睡的那么远,我只是想离你近一点。”
+


+
她爱了他七年,等了七年,可他从没回应什么。她累了,放弃了。和一个对她很好的男人结了婚。婚后
+两个月,她回娘家。她的妈妈把一箱东西交给她。“这是什么。”“是他以前写给你的信,那会你正高三,
+妈妈不想让这些影响你学习。”整整一百封。
+


+
“为什么大家都讨厌我呢?”星期一小姐每这样想一次,就会变得自卑一分。终于有天她忍不住对她的
+恋人星期天先生说“你还是离我远一点吧,和我走这么近会连累你的。”“可我不能离开你啊,”星期天
+先生说,“哪怕只离开你超过一天,我就不再是我了。”
+


+
“我走了,”他说,然后转身上了飞机。一个人不知道是怎么回去的,呆呆的坐在房间里,墙上还挂着
+2个人幸福笑容的照片。突然门铃响了,开门却是气喘吁吁的他。“你怎么回来了?”我忘记带了重要的
+东西。“我帮你去找!”他吻上她的唇“你!”
+


+
将军拿出收藏的珍宝把玩,差点把一只玉杯摔碎。幸亏他手快抓住了滑下的杯子,但已满头大汗。
+他想:“我身经百战从没害怕过,为什么一只小小的杯子就让我惊吓成这样?”他思索良久,决定把
+那只玉杯摔碎了,因为他顿悟,贪念之心比陷入绝境更危险!
+


+
相恋三年,他始终没给她一个承诺。这一年,回家的列车上,因她家是在他家前面几站的,失落的她
+说完一句到站记得叫我,然后便睡去。几小时后,他把她叫醒:到了。她望向窗外,入眼的满是陌生
+的风景。转过头,是他宠溺的笑:咱妈让我带你回家看看……
+


+
6岁,两人被迫天各一方,十年后却一眼认出,“不要说我们见过,这是你我之间的秘密。”妹妹微笑
+点头,直至哥哥踏进车站,她才张开双眼,“妈,我又梦见哥哥…”病床边,妈妈没说什么,只是心
+里默默祈求:“儿子,不要太早迎接你妹妹去你那边。”
+


+
多年后,她出席暗恋多年的他的婚宴,他变得风度翩翩,侃侃而谈,坐他身旁的是位美丽动人的新娘,
+她走去祝贺他一番:“多年不见了,你变健谈了呢,以前你和喜欢的人说话,舌头总打岔。”他听后脸
+红耳赤起来:“真、真、真的吗?”
+


+
过年回家,母亲就为他张罗着相亲。毕业三年了,这是他第三次相亲。双方见面后,家长都很满意,
+母亲一个劲地夸女方,说他们有多般配,对方家长也是不住地夸他。后来,双方家长互使了一个眼神,
+默契地走了,只留下他们俩。这时,她先开口说:好久不见…
+


+
她暗恋了他七年。七年后终于如愿以偿可以和他在一起。领证那天,他拿出了一枚戒指戴向了她的无名
+指。    她皱了皱眉,带着笑意说道:款式这么旧,这是你的眼光还是你根本就不在意?他笑说道:因为
+是很多年前买的、一直没机会送给你。         
+
+ + + + + \ No newline at end of file diff --git a/2015/03/16/mysql-forget-the-root-password/index.html b/2015/03/16/mysql-forget-the-root-password/index.html index e69de29..00e8cee 100644 --- a/2015/03/16/mysql-forget-the-root-password/index.html +++ b/2015/03/16/mysql-forget-the-root-password/index.html @@ -0,0 +1,85 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Linux下mysql忘记root密码 + + + + +

Linux下mysql忘记root密码

/etc/my.conf的[mysqld]段加上skip-grant-tables

+
[mysqld]
+datadir=/var/lib/mysql
+socket=/var/lib/mysql/mysql.sock
+user=mysql
+old_passwords=1
+skip-grant-tables
+

重启mysql服务就可以更新user标里面的password了
update mysql.user set password = password(‘root’) where user=root
就可以,然后还原/etc/my.conf

+ + + + + + \ No newline at end of file diff --git a/2015/03/16/rsync-backup/index.html b/2015/03/16/rsync-backup/index.html index e69de29..2773811 100644 --- a/2015/03/16/rsync-backup/index.html +++ b/2015/03/16/rsync-backup/index.html @@ -0,0 +1,141 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + rsync实现Linux服务器之间增量备份 + + + + +

rsync实现Linux服务器之间增量备份

可以用于线上服务器同步代码。

+

主服务器

rsync为C/S架构,一台主服务器,可以有多台从服务器

+

1.主服务器(需要备份的服务器):配置好yum源,安装rsync服务端

+
#yum install rsync
+

2.创建rsync 同步目录/data,此目录里面的内容将被同步到从服务器上

+
#mkdir /data
+

3.创建权限认证文件,此文件用于存放从服务器验证身份,格式为“username:password”,该用户与操作系统上面的用户没有一点关系,所以系统上不需要创建此用户。文件可使用任意名称,最好容易识别

+
#vim /etc/rsyncd.pass
+wujingchao:123456
+

安全起见密码文件权限需修改为600

+
#chmod 600 /etc/rsyncd.pass
+

4.创建 rsync 配置文件/etc/rsyncd.conf,默认是没有这个文件的

+
uid=root      #该选项指定当该模块传输文件时守护进程应该具有的uid,配合gid选项使用可以确定rsync具有访问那些文件夹的权限,默认值是"nobody",我们可以根据相应的需要进行配置。
+gid=root      #该选项指定当该模块传输文件时守护进程应该具有的gid,默认值是”nobody”。
+use chroot=no                      #不使用chroot
+max connections=20                 #设置最大连接数,默认为0,即无限制。这里设置为20.
+strict mode =yes                   #设置是否检查口令文件的权限
+pid file=/var/run/rsyncd.pid       #指定rysnc进程的pid文件位置 
+lock file=/var/lock/rsync.lock     #指定支持max connections的锁文件
+log file=/var/log/rsyncd.log       #指定 rsync日志输出路径
+[your_model_name]                       #*模块名,可使用任意名称*
+path=/data/                        #*源目录路径*
+comment=Test rsync                 #模块描述
+ignore errors                      #出现I/O错误时可忽略。
+read only=no                       #是否只读,设置为no时客户端可上传文件。
+write only=no                      #设置为no 时客户端可下载文件。
+hosts allow=192.168.0.100          #*允许访问主机*
+hosts deny=*                       #拒绝访问的主机,*表示所有主机。
+list=false                         #设置客户端请求时是否列出该模块,false为隐藏。                 
+auth users=wujingchao              #设置连接时使用的用户,即密码文件里面定义的用户名。
+secrets file=/etc/rsyncd.pass      #指定密码文件位置 
+
+
+

1.启动rsync守护进程

+

启动服务

+

手动方式(–config用于指定rsyncd.conf的位置,如果在/etc下可以不写)

+
#/usr/bin/rsync --daemon  --config=/etc/rsyncd.conf
+

xinetd方式

+

如果没有安装xinet,请先安装,

+
#yum install xinet
+

在rsync默认安装完成后,安装程序会自动在建立/etc/xinetd.d/rsync文件,但是默认情况是disable = yes,需要修改disable=no 即可然后,我们通过xinet启动rsync:

+
#service xinetd start/restart
+

好了这样主服务器就配置好了,启动之后可以看一下873是否处于监听状态

+
#netstat -tnlp
+

如果该端口被防火墙作用:

+

开启873端口

+
#iptables -I INPUT -p tcp --dport 873 -j ACCEPT
+

从服务器

1.安装rsync

+

2.配置权限认证文件里面写入与主服务器相同的密码,不需要再写username

+
        #vim /etc/rsyncd.pass
+        123456
+

3.创建备份的文件夹

+
        #mkdir /backup
+

4.执行同步命令

+
    #/usr/bin/rsync -avzP --delete --progress --exclude-from=/etc/exclude.conf --password-file=/etc/rsyncd.pass wujingchao@192.168.0.100::your_model_name /backup
+
--exclude-from 表示要排除上传哪些文件或者那些后缀的文件execlude.conf示例文件如下
+
+    admin/doAddProFromcsv/
+    site_data/
+    .dat
+    .log
+    .txt
+    .xml
+    add_admin.php
+
+ + + + + \ No newline at end of file diff --git a/2015/03/16/ssh-public-key-login/index.html b/2015/03/16/ssh-public-key-login/index.html index e69de29..d9b3a4c 100644 --- a/2015/03/16/ssh-public-key-login/index.html +++ b/2015/03/16/ssh-public-key-login/index.html @@ -0,0 +1,97 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + SSH基于公钥认证登录 + + + + +

SSH基于公钥认证登录

1. 原理:

首先由用户生成一对密钥,然后将公钥保存在SSH服务器用户的目录下.ssh子目录中的authorized_key文件里(/root/.ssh/authorized_key).私钥保存在本地计算机.当用户登陆时,服务器检查authorized_key文件的公钥是否与用户的私钥对应,如果相符则允许登入,否则拒绝.由于私钥只有保存在用户的本地计算机中,因此入侵者就算得到用户口令,也不能登陆到服务器.

+

2. 使用ssh-keygen生成密钥对

    ssh-keygen -t rsa  #之后请求输入密码回车即可
+
        [root@localhost ~]# ssh-keygen -t rsa
+            Generating public/private rsa key pair.
+            Enter file in which to save the key (/root/.ssh/id_rsa): 
+            Created directory '/root/.ssh'.
+            Enter passphrase (empty for no passphrase): 
+            Enter same passphrase again: 
+            Your identification has been saved in /root/.ssh/id_rsa.
+            Your public key has been saved in /root/.ssh/id_rsa.pub.
+            The key fingerprint is:
+            80:ed:2f:c9:6b:bc:41:26:60:bb:09:56:65:15:2a:6a root@localhost
+

私钥在 /root/.ssh/id_rsa
公钥在 /root/.ssh/id_rsa.pub

+

3、将/root/.ssh/id_rsa.pub改名为/root/.ssh/authorized_keys

#mv /root/.ssh/id_rsa.pub /root/.ssh/authorized_keys
+


+

4、将私钥id_rsa拷贝到需要登录的linux客户机即可,两种方式

     A:linux下可以拷贝到/root/.ssh/就可以直接使用了。 
+     B :  ssh-copy-id -i . ~/.ssh/id-rsa.pub USRNAME@IPADDRESS
+

window用户下使用SSH客户端选择pulic_key方式登录即可

+

5. 远程服务器启用公钥认证,去掉密钥登录,可省略,但要先保证公钥能够登陆的情况下,才关掉

修改配置文件/etc/ssh/sshd_config将”PasswordAuthentication yes”修改为”PasswordAuthentication no”
需要重启sshd服务

+
#service sshd restart
+
+ + + + + \ No newline at end of file diff --git a/2016/01/01/art-of-android-development-notes-activity-lifecircle-launchmode/index.html b/2016/01/01/art-of-android-development-notes-activity-lifecircle-launchmode/index.html index e69de29..d33fc47 100644 --- a/2016/01/01/art-of-android-development-notes-activity-lifecircle-launchmode/index.html +++ b/2016/01/01/art-of-android-development-notes-activity-lifecircle-launchmode/index.html @@ -0,0 +1,206 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:Activity的生命周期和启动模式 + + + + +

Android开发艺术探索:Activity的生命周期和启动模式

  决定把读的每一本书都做一下读书笔记或者感悟,技术的或者非技术的,一方面方便以后复习查阅,另一方面也能记录自己进步的脚印,2016了,大家要继续努力哈!这本是一本Android开发比较进阶的书籍,建议有一定Android开发基础知识后再进行阅读。

+

典型情况下Activity的生命周期

正常情况下的生命周期

+
+

onCreate -> onStart -> onResume -> onPause -> onStop -> onDestroy

+
+

当从其他Activity切换到已经存在的Activity时,就会调用

+
+

onRestart -> onStart -> onResume

+
+

应该避免在onPause和onStop中做耗时操作,因为执行完onPause之后新的Activity才能执行onStop和onResume,耗时操作会拖慢进入下一个Activity的速度。

+

当Activity从A调用startActivity启动B的时候,生命周期会有重叠的现象,通过源码分析执行顺序是这样的:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ActivityAction
AonPause
BonCreate
BonStart
BonResume
AonStop (当A不可见的情况下)
+
+

如果您必须在第一个 Activity 停止时向数据库写入数据,以便下一个 Activity 能够读取该数据,则应在 onPause() 而不是 onStop() 执行期间向数据库写入数据。尽量避免在onPause里做CPU密集型的任务,会导致进入第二个Activity的速度变慢。

+
+

异常情况下Activity的生命周期

+ +

Activity的启动模式

+

因为非Activity的Context里面并没有保存所谓的任务栈的相关信息,需要加上FLAG_ACTIVITY_NEW_TASK_FLAG的标志位,这时候实际上是以singleTask的模式来启动的。

+ + +
+

启动模式和TaskAffinity更详细的实例可以参考这篇博文

+
+

启动模式的另外一种设置方法

就是通过给Intent设置标志位,这种方法的优先级高于在AndroidManifest.xml中设置。

+

第一种方式无法设置FLAG_CLEAR_TOP的效果,第二种方式无法设置SingleInstance:

+ +

IntentFilter匹配规则

用于过滤隐式的Intent,过滤的内容有action,category,data

+ +

data的属性:scheme,host,port,path,pathPattern,pathPrefix
URI结构:

+
   <scheme>://<host>:<port>/[<paht>|<pathPrefix>|<pathPattern>]
+
+
 <intent-filter>
+    <data android:mimeType="image/*" />
+ </intent-filter>
+

匹配规则为所有图片类型,虽然没有指定URI,但是有默认值content 、file

+
+

intent.setDataAndType(Uri.parse(“file://abc”),”image/png”);

+
+

另外,如果Intent要指定完整的Intent的时候,不能单独调用setData或者setType ,查看源码可以发现这两个方法都会互相清空data的某些属性。

+ +

如果我们匹配不了隐式Intent,那么调用startActivity的时候就会报错,我们可以使用PackageManager或者Intent中的的resolveActivity(Intent intent,int flag)方法,匹配最佳的Intent,如果匹配不了就会返回null

+
+

flags:The most important is MATCH_DEFAULT_ONLY, to limit the resolution to only those activities that support the CATEGORY_DEFAULT.

+
+ +
 <action android:name="android.intent.action.MAIN" />
+ <category android:name="android.intent.category.LAUNCHER" />
+
+ + + + + \ No newline at end of file diff --git a/2016/01/04/art-of-android-development-notes-ipc/index.html b/2016/01/04/art-of-android-development-notes-ipc/index.html index e69de29..5020e8e 100644 --- a/2016/01/04/art-of-android-development-notes-ipc/index.html +++ b/2016/01/04/art-of-android-development-notes-ipc/index.html @@ -0,0 +1,274 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:IPC机制 + + + + +

Android开发艺术探索读书笔记: IPC机制

  Android中Binder机制的由四个部分组成:Binder驱动,Client,Server,ServerManager。其中Binder运行在内核空间,其余都运行在用户空间,Client、Server、ServerManager通过open/ioctl与Binder驱动交互。ServerManager用来管理Server并向Client提供了Server接口查询。类比与网络中的通信方式,Client为客户端,Server为服务器端,ServerManager为DNS服务器,Binder驱动做为通信链路,Client向ServerManager查询服务端的地址,并通过Binder驱动与Server建立通信。

+

Binder驱动做为进程间的媒介运行在内核空间,通过系统调用向Binder驱动写控制命令+数据,然后等待Binder驱动唤醒然后读取结果数据。通过代理,在Java层调用对象方法就像调用本地方法一样,其实是将要调用的方法与参数封装成特定的数据结构(序列化),写到内核驱动,服务端再将数据解析(反序列化),调用方法得到结果写回Binder驱动,客户端再拿到结果。(数据只拷贝一次)

+

Binder架构

+

(图片来自老罗的Android之旅)

+

Binder机制使用进程虚拟地址空间和内核虚拟地址空间映射同一个物理页面,进程与内核之间就减少了一次内存的拷贝,提高通信的效率。

+

Android中的多进程模式

线程是CPU最小的调度单元,而进程是执行单元,表现为一个应用程序。进程与线程之间是包含关系。

+ +
+

应用间的进程相当于两个应用采用ShardUid的模式

+
+

IPC基础概念

+
 private void witeObject(OutputStream os){
+    //...
+ }
+
+ private void readObject(InputStrem is) {
+    //...
+ }
+
+
+

另外比较重要的就是serialVersionUID(long)这个常量,根据这个变量名可以知道是序列化的版本号,不写也是可以的,使用这个类的时候系统会给我们生成,利用类的成员变量hash给我们算出来,所以一方面这就加重了系统的负担,不一致的话反序列化就直接抛异常。所以指定这个版本号的情况下,我们增加个成员变量或者减少个成员变量,系统会尽可能地给我们反序列化,但类发生了非常规变化(比如类名变了),还是会抛异常。
当序列化的版本号不一致时,反序列化抛的异常是 java.io.InvalideClassException,所以一般我们都指定值为1L,或者使用IDE给我们生成。

+ + +
+ Client->Binder: 远程请求 + Binder-->Client:挂起 + Binder-->Binder:写入data + Binder->Service:调用transact传递data + Service-->ThreadPool:onTransact把服务端方法放\n到线程池执行 + ThreadPool-->ThreadPool:写入reply + ThreadPool-->Binder:返回结果 + Binder-->Client:唤醒Client并返回数据 +
+ + +

关于Binder的线程池官方文档有这样的描述:

+
+

The system maintains a pool of transaction threads in each process that it runs in. These threads are used to dispatch all IPCs coming in from other processes. For example, when an IPC is made from process A to process B, the calling thread in A blocks in transact() as it sends the transaction to process B. The next available pool thread in B receives the incoming transaction, calls Binder.onTransact() on the target object, and replies with the result Parcel.

+
+

我们在AndroidStudio Debug的时候可以直观地看到:
AndroidStudio里面看见的Binder线程池.png

+

Android中的IPC方式

+

Binder连接池

主要思想就是服务端提供获取各类Binder的接口并返回,客户端取得合适的Binder对象,避免创建多个Service。实现代码参考

+ + + + + + \ No newline at end of file diff --git a/2016/01/09/art-of-android-development-notes-view-touchevent/index.html b/2016/01/09/art-of-android-development-notes-view-touchevent/index.html index e69de29..ebfe935 100644 --- a/2016/01/09/art-of-android-development-notes-view-touchevent/index.html +++ b/2016/01/09/art-of-android-development-notes-view-touchevent/index.html @@ -0,0 +1,444 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:View的事件体系 + + + + +

Android开发艺术探索读书笔记: View的事件体系

View基础知识

+
                          x
+ ------------------------------->
+ |       ^            ^
+ |   top |            |
+ |       |            |
+ |       v            | 
+ |<----->+---------+  |  bottom
+ |  left |         |  | 
+ |       |   View  |  |
+ |       |         |  |
+ |       +---------+  v
+ |<---------------->
+y|      right            ViewGroup
+ v    
+
+ +

这些位置参数都是相对于View所在的容器ViewGroup,并且有以下关系:
width = right - left;
height = bottom - top;

+ +

View的滑动

+

弹性滑动

+
+

ViewDragHelper is a utility class for writing custom ViewGroups. It offers a number of useful operations and state tracking for allowing a user to drag and reposition views within their parent ViewGroup.

+
+

下面是一个例子并加上了一些注释,更详细的用法可以参考这篇博客

+

+public class DragViewGroup extends ViewGroup {
+
+    private static final String TAG = "DragViewGroup";
+
+    private float density;
+
+    private ViewDragHelper viewDragHelper;
+
+
+    private ViewDragHelper.Callback callback = new ViewDragHelper.Callback() {
+
+        //用于处理被触摸的View是否能够被拖动,ACTION_DOWN被调用
+        @Override
+        public boolean tryCaptureView(View child, int pointerId) {
+            Log.e(TAG,String.format("child id = %s,pointerId = %s",child.getId(),pointerId));
+            return true;
+        }
+
+        //相对于Parent Y方向拖动位置
+        @Override
+        public int clampViewPositionVertical(View child, int top, int dy) {
+            Log.e(TAG, String.format("child id = %s,top = %s,dy = %s", child.getId(), top, dy));
+            return top;
+        }
+
+        //相对于Parent X方向拖动位置
+        @Override
+        public int clampViewPositionHorizontal(View child, int left, int dx) {
+            Log.e(TAG,String.format("child id = %s,left = %s,dx = %s",child.getId(),left,dx));
+            return left;
+        }
+
+        //当child view能够消耗事件的情况下(比如clickable),需要根据情况重写下面两个方法
+        //并且返回值大于零才能处理拖动
+        @Override
+        public int getViewVerticalDragRange(View child) {
+            return getMeasuredWidth() - child.getMeasuredWidth();
+        }
+
+
+        @Override
+        public int getViewHorizontalDragRange(View child) {
+            return getMeasuredHeight() - child.getMeasuredHeight();
+        }
+
+        //拖动的View释放
+        //The fling velocity is also supplied:
+        //xvel - X velocity of the pointer as it left the screen in pixels per second.
+        //yvel - Y velocity of the pointer as it left the screen in pixels per second.
+        @Override
+        public void onViewReleased(View releasedChild, float xvel, float yvel) {
+            Log.e(TAG,String.format("releasedChild id = %s,xvel = %s,yvel = %s",releasedChild.getId(),xvel,yvel));
+
+            //用于平滑移动View,需要重写View#computeScroll,因为是用Scroller实现的
+            viewDragHelper.settleCapturedViewAt(releasedChild.getLeft() + 100, releasedChild.getTop() + 100);
+            invalidate();
+        }
+
+//        //在边界拖动时回调
+        @Override
+        public void onEdgeDragStarted(int edgeFlags, int pointerId) {
+            if(edgeView != null) {
+                viewDragHelper.captureChildView(edgeView, pointerId);
+            }
+        }
+    };
+
+    @Override
+    public void computeScroll() {
+        if(viewDragHelper.continueSettling(true)) {
+            postInvalidate();
+        }
+    }
+
+    public DragViewGroup(Context context, AttributeSet attrs) {
+        super(context, attrs);
+        density = context.getResources().getDisplayMetrics().density;
+    }
+
+
+    @Override
+    protected void onFinishInflate() {
+        super.onFinishInflate();
+        viewDragHelper = ViewDragHelper.create(this,1.0f,callback);
+        viewDragHelper.setEdgeTrackingEnabled(ViewDragHelper.EDGE_LEFT);
+    }
+
+    @Override
+    public boolean onInterceptTouchEvent(MotionEvent ev) {
+        return viewDragHelper.shouldInterceptTouchEvent(ev);
+    }
+
+    @Override
+    public boolean onTouchEvent(MotionEvent event) {
+        viewDragHelper.processTouchEvent(event);
+        return true;
+    }
+
+    @Override
+    protected void onMeasure(int widthMeasureSpec, int heightMeasureSpec) {
+        measureChildren(widthMeasureSpec, heightMeasureSpec);
+        super.onMeasure(widthMeasureSpec, heightMeasureSpec);
+    }
+
+    private View edgeView;
+
+    @Override
+    protected void onLayout(boolean changed, int l, int t, int r, int b) {
+        edgeView = getChildAt(0);
+        final int childCount = getChildCount();
+        for(int i = 0; i < childCount; i ++) {
+            View childView = getChildAt(i);
+            childView.layout(0, (int) (40 * i * density),childView.getMeasuredWidth(),(int) (40 * (i + 1) * density));
+        }
+    }
+}
+
+
+

View的事件分发机制

+

这三个方法的关系:
dispatchTouchEvent(MotionEvent ev)
onInterceptTouchEvent(MotionEvent event)
onTouchEvent(MotionEvent event)
作者用的伪代码描述:(简直是淋漓尽致,言简意赅!!!)

+
public void dispatchTouchEvent(MotionEvent ev) {
+    boolean isConsume = false;
+    if(onInterceptTouchEvent(ev)) {
+        consume = onTouchEvent(ev);
+    }else {
+        consume = child.dispatchTouchEvent(ev);
+    }
+    return consume;
+}
+
+

1.事件从Activity的dispatchTouchEvent开始传递 -> Window -> ViewGroup -> View。

+

2.给View设置 onTouchListener 其执行优先级比 onTouchEvent 要高,如果事件被 onTouchListener#onTouch 消耗,那么 onTouchEvent 将不会被调用。给View设置 onClickListener 其执行优先级比 onTouchEvent 要高。

+

3.如果一个View的onTouchEvent没有被消耗掉,会传回父View的onTouchEvent,以此类推,如果都没有那么最终会出现在Activity#onTouchEvent。

+

4.当一个View没有处理MotionEvent.ACTION_DOWN时,后续的事件将不会到来(因为处理也没有意义),如果处理了之后后续的事件被拦截,那么将会收到ACTION_CANCEL,所以我们应当根据情况处理ACTION_CANCEL这个事件。

+

5.如果View不消耗除 ACTION_DOWN 以外的其他事件,那么这个点击事件会消失,父元素的 onTouchEvent 也不会被调用最终消失的点击事件会传递给Activity处理。

+

6.ViewGroup 默认不拦截任何事件即 onInterceptTouchEvent 默认返回false。

+

7.View没有onInterceptTouchEvent方法,一旦事件传递给它,那么它的onTouchEvent将会被调用。

+

8.View的onTouchEvent默认都会消耗事件(返回true),除非它是不可点击的(clickable和longClickable同时为false)。

+

9.View的enable属性不影响onTouchEvent的默认返回值,哪怕一个View是disable的。

+

另外一份比较好的总结

+
+

  规则较多,个人认为写自定义控件的时候尽量不要去利用dispatchTouchEvent来实现,容易出错,这主要用来分发事件给到子View,或者在自己的onTouchEvent里面消耗,或者事件传递回给父View。当我们自己实现ViewGroup重点实现onInterceptTouchEvent和onTouchEvent,根据逻辑是否拦截,实现View的时候就只实现onTouchEvent实现我们需要的效果。

+
+

View的滑动冲突

+

滑动冲突解决方式

+
public boolean onInterceptTouchEvent(MotionEvent event) {
+    boolean intercepted = false;
+    switch(event.getAction()) {
+        /* 一旦拦截,后续的事件就不会传递给子View了
+         * ACTION_DOWN不受FLAG_DISALLOW_INTERCET控制,父容器一旦拦截,
+         * 子View调用requestDisallowInterceptTouchEvent将无法实现内部
+         * 拦截
+         *
+         *这里还需要注意,如果MotionEvent.ACTION_DOWN没有拦截,被子View给消耗了
+         *onTouchEvent就收不到,所以根据需要也不一定要返回false
+         */
+        case MotionEvent.ACTION_DOWN: {
+            intercepted = false;
+            break;
+        }
+
+        case MotionEvent.ACTION_MOVE: {
+            if(需要拦截当前的点击事件) {//子元素将收到ACTION_CANCEL
+                intercepted = true
+            }else {
+                intercepted = false;
+            }
+            break;
+        }
+
+        case MotionEvent.ACTION_UP: {
+            intercepted = false;
+        }
+
+        default:
+            break;
+    }
+    return intercepted;
+}
+
+
+ +
//重写子View的dispatchOnTouchEvent
+public boolean dispatchTouchEvent(MotionEvent event) {
+    switch(event.getAction()) {
+        case MotionEvent.ACTION_DOWN: {
+            //True if the child does not want the parent to intercept touch events
+            parent.requestDisallowInterceptTouchEvent(true);
+            break;
+        }
+        case MotionEvent.ACTION_MOVE:{
+            if(父容器需要此类点击事件) {
+                parent.requestDisallowInterceptTouchEvent(false);
+            }
+            break;
+        }
+        default:
+            break;
+
+    }
+    return super.dispatchTouchEvent(event);
+}
+
+//好需要结合父View的onInterceptTouchEvent
+public boolean onInterceptTouchEvent(MotionEvent event) {
+    if(event.getAction() == MotionEvent.ACTION_DOWN) {
+        return false;
+    }else {
+        return true;
+    }
+}
+
+ + + + + + \ No newline at end of file diff --git a/2016/01/10/art-of-android-development-notes-view-theory/index.html b/2016/01/10/art-of-android-development-notes-view-theory/index.html index e69de29..a1d6d81 100644 --- a/2016/01/10/art-of-android-development-notes-view-theory/index.html +++ b/2016/01/10/art-of-android-development-notes-view-theory/index.html @@ -0,0 +1,377 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:View的工作原理 + + + + +

Android开发艺术探索读书笔记: View的工作原理

ViewRoot和DectorView

ViewRoot与ViewRootImpl类实现的功能是一样的,DectorView和Windowmanger的桥梁,只是Android4.0以后改了名而已,可以看下图:

+

ViewRoot和ViewRootImpl关系

+
+

The top of a view hierarchy, implementing the needed protocol between View and the WindowManager.

+
+

当Activity创建完毕,DectorView会被添加到Window中并创建ViewRoot对象与DectorView建立关联。
View的三大流程都是通过ViewRoot来完成的:

+ +
+st=>start: Start +e=>end: End +op1=>operation: performTraversals +op2=>operation: performMeasure +sub21=>subroutine: measure +sub22=>subroutine: onMeasure(遍历所有子View测量自己) + +op3=>operation: performLayout +sub31=>subroutine: layout +sub32=>subroutine: onLayout(遍历所有ViewGroup摆放自己子View) + +op4=>operation: performDraw +sub41=>subroutine: draw +sub42=>subroutine: onDraw(遍历所有子View绘制自己) + + +st->op1->op2->sub21->sub22->op3->sub31->sub32->op4->sub41->sub42 + +
+ +

注:onLayout可以获取onMeasure测量好的值了 getMeasuredHeight/Width

+
+

DectorView做为顶级View被添加到Window(PhoneWindow)中,measure,layout,draw都是从这里开始,继承于FrameLayout,会根据主题加载不同的layout(例如R.layout.screen_title),内容id为 android.R.id.content,我们通过Activity#setContentView就是把我们的layout填充到里面。可以通过findViewById(android.R.id.content)获取这个ViewGroup,再通过getChildAt(0),就可以获得我们设置的内容了。

+

MeasureSpec 测量规格

系统会将我们设置的View的LayoutParams和父容器施加的规则转换为对应的MesureSpec,根据这个来测量那个View的宽和高。
MeasureSpec 表示为一个int,高2位表示测量模式SpecMode,低30位表示某种测量模式的大小,节省内存开销,因为很多地方都要使用。通过代码里面的常量可以看得出来有三种测量模式,并且提供了 打包 和 解包 这两样数据的方法。

+
public static class MeasureSpec {
+    private static final int MODE_SHIFT = 30;
+
+    //父容器不对View有任何限制,要多大,有多大,系统内部使用,基本不用
+    public static final int UNSPECIFIED = 0 << MODE_SHIFT;
+
+    //父容器已经测量出了View所需要的精确大小,View的大小就是Spec
+    //对应LayoutParams的具体数值和,match_parent
+    public static final int EXACTLY     = 1 << MODE_SHIFT;
+
+    //父容器指定一个可用大小的SpecSize,View的大小不能超过
+    //对应LayoutParams的wrap_parent
+    public static final int AT_MOST     = 2 << MODE_SHIFT;
+}
+
+

MeasureSpec与LayoutParams对应关系

对于DoctorView其MeasureSpec是由屏幕尺寸和自身的LayoutParams决定的,得到的MeasureSpec当然是传递给子View使用,然后子View再根据此参数和自身的LayoutParams来确定自己的MeasureSpec。

+

DoctorView MeasureSpec的获取过程:

+
//class ViewRootImpl
+//当然是在performTraversal里面调用的:P
+//lp View本身的LayoutParams参数
+//desiredWindowWidth/desiredWindowHeight 屏幕的宽高
+private boolean measureHierarchy(final View host, final WindowManager.LayoutParams lp, final Resources res, 
+                                  final int desiredWindowWidth, final int desiredWindowHeight) {
+    //...
+    childWidthMeasureSpec = getRootMeasureSpec(desiredWindowWidth, lp.width);
+    childHeightMeasureSpec = getRootMeasureSpec(desiredWindowHeight, lp.height);
+    performMeasure(childWidthMeasureSpec, childHeightMeasureSpec);
+    //...
+}
+
+private void performMeasure(int childWidthMeasureSpec, int childHeightMeasureSpec) {
+    //...
+    //mView就是与ViewRootImpl关联的DectorView!
+    //通过public void setView(View view, WindowManager.LayoutParams attrs, View panelParentView)设置的
+    mView.measure(childWidthMeasureSpec, childHeightMeasureSpec);
+    //...
+}
+
+//根据屏幕宽高,DectorView的LayoutParams计算Dector的MeasureSpec
+private static int getRootMeasureSpec(int windowSize, int rootDimension) {
+    int measureSpec;
+    switch (rootDimension) {
+    case ViewGroup.LayoutParams.MATCH_PARENT:
+        // Window can't resize. Force root view to be windowSize.
+        measureSpec = MeasureSpec.makeMeasureSpec(windowSize, MeasureSpec.EXACTLY);
+        break;
+    case ViewGroup.LayoutParams.WRAP_CONTENT:
+        // Window can resize. Set max size for root view.
+        measureSpec = MeasureSpec.makeMeasureSpec(windowSize, MeasureSpec.AT_MOST);
+        break;
+    default:
+        // Window wants to be an exact size. Force root view to be that size.
+        measureSpec = MeasureSpec.makeMeasureSpec(rootDimension, MeasureSpec.EXACTLY);
+        break;
+    }
+    return measureSpec;
+}
+
+

对于View来说,MeasureSpec是由自身的LayoutParams和父View传递过来的MeasureSpec决定的。

+
//ViewGroup里面遍历测量所有的子View
+protected void measureChildren(int widthMeasureSpec, int heightMeasureSpec) {
+    final int size = mChildrenCount;
+    final View[] children = mChildren;
+    for (int i = 0; i < size; ++i) {
+        final View child = children[i];
+        if ((child.mViewFlags & VISIBILITY_MASK) != GONE) {
+            measureChild(child, widthMeasureSpec, heightMeasureSpec);
+        }
+    }
+}
+
+//不包含Margin,对应的有measureChildWithMargins
+protected void measureChild(View child, int parentWidthMeasureSpec, int parentHeightMeasureSpec) {
+    final LayoutParams lp = child.getLayoutParams();
+    final int childWidthMeasureSpec = getChildMeasureSpec(parentWidthMeasureSpec,mPaddingLeft + mPaddingRight, lp.width);
+    final int childHeightMeasureSpec = getChildMeasureSpec(parentHeightMeasureSpec, mPaddingTop + mPaddingBottom, lp.height);
+    child.measure(childWidthMeasureSpec, childHeightMeasureSpec);
+}
+
+//根据子View的LayoutParams和父View的MeasureSpec来确定子View的MeasureSpec
+//spec:父View的MeasureSpec
+//childDimension:可能值有match_parent,wrap_parent,精确值
+public static int getChildMeasureSpec(int spec, int padding, int childDimension) {
+    int specMode = MeasureSpec.getMode(spec);
+    int specSize = MeasureSpec.getSize(spec);
+    int size = Math.max(0, specSize - padding);
+    int resultSize = 0;
+    int resultMode = 0;
+    switch (specMode) {
+    // Parent has imposed an exact size on us
+    case MeasureSpec.EXACTLY:
+        if (childDimension >= 0) {
+            resultSize = childDimension;
+            resultMode = MeasureSpec.EXACTLY;
+        } else if (childDimension == LayoutParams.MATCH_PARENT) {
+            // Child wants to be our size. So be it.
+            resultSize = size;
+            resultMode = MeasureSpec.EXACTLY;
+        } else if (childDimension == LayoutParams.WRAP_CONTENT) {
+            // Child wants to determine its own size. It can't be
+            // bigger than us.
+            resultSize = size;
+            resultMode = MeasureSpec.AT_MOST;
+        }
+        break;
+
+    // Parent has imposed a maximum size on us
+    case MeasureSpec.AT_MOST:
+        if (childDimension >= 0) {
+            // Child wants a specific size... so be it
+            resultSize = childDimension;
+            resultMode = MeasureSpec.EXACTLY;
+        } else if (childDimension == LayoutParams.MATCH_PARENT) {
+            // Child wants to be our size, but our size is not fixed.
+            // Constrain child to not be bigger than us.
+            resultSize = size;
+            resultMode = MeasureSpec.AT_MOST;
+        } else if (childDimension == LayoutParams.WRAP_CONTENT) {
+            // Child wants to determine its own size. It can't be
+            // bigger than us.
+            resultSize = size;
+            resultMode = MeasureSpec.AT_MOST;
+        }
+        break;
+
+    // Parent asked to see how big we want to be
+    case MeasureSpec.UNSPECIFIED:
+        if (childDimension >= 0) {
+            // Child wants a specific size... let him have it
+            resultSize = childDimension;
+            resultMode = MeasureSpec.EXACTLY;
+        } else if (childDimension == LayoutParams.MATCH_PARENT) {
+            // Child wants to be our size... find out how big it should
+            // be
+            resultSize = View.sUseZeroUnspecifiedMeasureSpec ? 0 : size;
+            resultMode = MeasureSpec.UNSPECIFIED;
+        } else if (childDimension == LayoutParams.WRAP_CONTENT) {
+            // Child wants to determine its own size.... find out how
+            // big it should be
+            resultSize = View.sUseZeroUnspecifiedMeasureSpec ? 0 : size;
+            resultMode = MeasureSpec.UNSPECIFIED;
+        }
+        break;
+    }
+    return MeasureSpec.makeMeasureSpec(resultSize, resultMode);
+}
+
+

总结(记住这是View#onMeasure里面得到的参数):

+ +

View的工作过程

1.measure过程

上面提到的 measureChild(View child, int parentWidthMeasureSpec, int parentHeightMeasureSpec) 函数,里面会调用 child.measure(parentWidthMeasureSpec,parentHeightMeasureSpec) 传递进去就是根据子View和父View的MeasureSpec计算出来的MeasureSpec。

+
public final void measure(int widthMeasureSpec, int heightMeasureSpec)
+
+

这是一个final方法,实际的测量是在onMeasue里面,我要实现的是这个方法,View里面有默认的实现:

+
protected void onMeasure(int widthMeasureSpec, int heightMeasureSpec) {
+    setMeasuredDimension(getDefaultSize(getSuggestedMinimumWidth(), widthMeasureSpec),getDefaultSize(getSuggestedMinimumHeight(), heightMeasureSpec));
+}
+public static int getDefaultSize(int size, int measureSpec) {
+    int result = size;
+    int specMode = MeasureSpec.getMode(measureSpec);
+    int specSize = MeasureSpec.getSize(measureSpec);
+    switch (specMode) {
+    case MeasureSpec.UNSPECIFIED:
+        result = size;
+        break;
+    //wrap_content和match_content都是父View传递过来的建议大小
+    case MeasureSpec.AT_MOST:
+    case MeasureSpec.EXACTLY:
+        result = specSize;
+        break;
+    }
+    return result;
+}
+
+

当我们给View设置wrap_content的时候,默认还是父View传递过来的建议大小,所以自定义控件的时候,需要实现这种情况,对于非wrap_cotent,沿用系统默认的即可。

+

计算大小的时候,可以调用View#resolveSizeAndState(int size, int measureSpec, int childMeasuredState),可以加上测量结果的状态,目前有两个一个正常和MEASURED_STATE_TOO_SMALL,View#getMeasuredWidthAndState()获取子View测量的结果,包括测量状态(高8位表示)。

+
+-------------------+
++ 0x00 ffffffff     +
++-------------------+
+前面两位为01表示子View的测量结果大于父View所给的空间
+

对于 MeasureSpec.UNSPECIFIED 的情况,传递过来的是 getSuggestedMinimumWidth/Height:

+
  protected int getSuggestedMinimumWidth() {
+        //没有设置View的背景mMinWidth对应android:minWidth这个属性所指定的值
+        //如果设置的View的背景就是背景Drawable的最小宽度
+        return (mBackground == null) ? mMinWidth : max(mMinWidth, mBackground.getMinimumWidth());
+    }
+
+
+  public int getMinimumWidth() {
+        //就是drawable原始宽度
+        final int intrinsicWidth = getIntrinsicWidth();
+        return intrinsicWidth > 0 ? intrinsicWidth : 0;
+  }
+
+
+

此种模式系统内部使用,基本不用。
ViewGroup是一个抽象类,里面没有默认实现 onMeasure,我们需要根据布局的特性来测量其宽高。具体的测量可以参考前面DectorView测量子View的过程。

+

另外在 onMeasure 里面测量完毕之后一定要调用 setMeasuredDimension(int measuredWidth, int measuredHeight) 把测量结果存储,否则将会在执行measure的时候抛 IllegalStateException。

+

Activity的生命周期和View的measure测量过程是不同步的,所以在onCreate,onStart,onResume时刻是获取不到View的宽高的,有四种方法获取:

+ +
protected void onStart() {
+    super.onStart();
+    ViewTreeObserver observer = view.getViewTreeObserver();
+    observer.addOnGlobalLayoutListener(new ObGlobalLayoutListener() {
+            @Override
+            public void onGlobalLayout() {
+                view.getViewTreeObserver().removeGlobalOnLayoutListener(this);
+                int width = view.getMeasureWidth();
+                int height = view.getMeasureHeight();
+            }
+        });
+}
+
+
+ +
2.Layout过程

layout方法确定View本身的位置,里面调用setFrame来确定View四个顶点的位置,即mLeft,mTop,mRight,mBottom;而onLayout方法是确定子元素的位置,内部又会调用layout来确定View的位置。

+

getMeasuredWidth/getMeasuredHeight测量宽度/高度是在View测量完成后产生的,而最终的宽高getWidth/getHeight是在layout后产生的。

+
public final int getMeasuredWidth() {
+    return mMeasuredWidth & MEASURED_SIZE_MASK;
+}
+
+public final int getMeasuredHeight() {
+    return mMeasuredHeight & MEASURED_SIZE_MASK;
+}
+
+public final int getHeight() {
+    return mBottom - mTop;
+}
+
+public final int getWidth() {
+    return mRight - mLeft;
+}
+
+

View四个定点的值会在layout->setFrame里面赋值,如果我们重写了layout方法,就可以使最终宽高和测量宽高不一致。一般情况中两者的值都是相等的。

+
+

在定义ViewGroup的时候可以根据需要实现这个方法:

+
protected LayoutParams generateDefaultLayoutParams(){
+    //...
+}
+
+

子View就可以通过LayoutParams类告诉其父视图它想要地大小,位置,方向等,就像 RelativeLayout 里面的各种位置属性(toLeftOf,toRight…),ViewGroup默认返回的是支持layout_width和layout_height属性的LayoutParams。这个书中没有说明,更详细的可以参考这个

+
3.draw过程
    +
  1. Draw the background
  2. +
  3. If necessary, save the canvas’ layers to prepare for fading
  4. +
  5. Draw view’s content
  6. +
  7. Draw children
  8. +
  9. If necessary, draw the fading edges and restore layers
  10. +
  11. Draw decorations (scrollbars for instance)
  12. +
+

主要是3和4,调用 onDraw 方法来绘制自己,dispatchDraw 里遍历调用子View的draw一层一层地传递。

+

View#setWillNotDraw,用于设置是否绘制以便系统做优化,View默认是没有启用这个标志的,而ViewGroup默认启用。

+

自定义View须知

1.让View支持wrap_content

+

2.支持padding。自定义View(不是ViewGroup)margin是由父容器控制的,不需要做特殊处理,但是ViewGroup就需要写onMeasure和onLayout里面处理了

+

3.不要在View里面使用Handler,处理不当会内存泄漏,里面有post已经能完成相关功能。

+

4.如果有线程或者动画,考虑在 onDetachedFromWindow 里面停止

+

5.处理滑动冲突

+

更标准的自定义View的流程可以参考官方文档ViewGroup,还有Github上那些优秀的控件。

+ + + + + + \ No newline at end of file diff --git a/2016/01/17/art-of-android-development-notes-remoteviews/index.html b/2016/01/17/art-of-android-development-notes-remoteviews/index.html index e69de29..4d83824 100644 --- a/2016/01/17/art-of-android-development-notes-remoteviews/index.html +++ b/2016/01/17/art-of-android-development-notes-remoteviews/index.html @@ -0,0 +1,303 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:理解RemoteViews + + + + +

Android开发艺术探索读书笔记: 理解RemoteViews

RemoteViews用于跨进程更新View,常用使用场景有:通知栏和桌面widget。

+

RemoteViews的两个使用场景

通知栏的简单使用:

+
NotificationManager notificationManager = (NotificationManager) getSystemService(Context.NOTIFICATION_SERVICE);
+NotificationCompat.Builder builder = new NotificationCompat.Builder(this);
+PendingIntent intent = PendingIntent.getActivity(this, 0, new Intent(this, SecondActivity.class), PendingIntent.FLAG_UPDATE_CURRENT);
+RemoteViews remoteViews = new RemoteViews(this.getPackageName(),R.layout.notify_content);
+Notification notification = builder.setTicker("Ticker")
+        .setOngoing(true)
+        .setTicker("Ticker",remoteViews)
+        .setSmallIcon(R.drawable.ic)
+        .setContentText("ContentText")
+        .setWhen(System.currentTimeMillis())
+        .setContentTitle("ContentTitle")
+        .setContentIntent(intent)
+        .build();
+remoteViews.setTextViewText(R.id.textView,"IIIIIIIIIIIIIII");
+notification.contentView = remoteViews;
+notificationManager.notify(0,notification);
+
+

RemoteView没有像普通View那样有着findViewById方法,只提供了特定的方法来更新,例如 SetTextViewText(R.id.text,”Text”) 后面说明原因。

+

AppWigetProvider实质是一个广播,更新Wiget也用到了RemoteViews,使用步骤:

+ +
<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:background="#09C"
+    android:padding="@dimen/widget_margin">
+
+    <TextView
+        android:id="@+id/appwidget_text"
+        android:layout_width="wrap_content"
+        android:layout_height="wrap_content"
+        android:layout_centerHorizontal="true"
+        android:layout_centerVertical="true"
+        android:layout_margin="8dp"
+        android:background="#09C"
+        android:contentDescription="@string/appwidget_text"
+        android:text="@string/appwidget_text"
+        android:textColor="#ffffff"
+        android:textSize="24sp"
+        android:textStyle="bold|italic" />
+
+</RelativeLayout>
+
+ +
<?xml version="1.0" encoding="utf-8"?>
+<appwidget-provider xmlns:android="http://schemas.android.com/apk/res/android"
+    android:initialKeyguardLayout="@layout/my_app_widget"
+    android:initialLayout="@layout/my_app_widget"
+    android:minHeight="40dp"
+    android:minWidth="40dp"
+    android:previewImage="@drawable/example_appwidget_preview"
+    android:resizeMode="horizontal|vertical"
+    android:updatePeriodMillis="86400000"
+    android:widgetCategory="home_screen" />
+
+ +
public class MyAppWidget extends AppWidgetProvider {
+
+    private static final String TAG = "MyAppWidget";
+
+    static int index = 0;
+
+    void updateAppWidget(Context context, AppWidgetManager appWidgetManager, int appWidgetId) {
+        // Construct the RemoteViews object
+        RemoteViews views = new RemoteViews(context.getPackageName(), R.layout.my_app_widget);
+        views.setTextViewText(R.id.appwidget_text, "Start");
+        PendingIntent pendingIntent = PendingIntent.getBroadcast(context,0,new Intent("xml.onclick"),PendingIntent.FLAG_UPDATE_CURRENT);
+        views.setOnClickPendingIntent(R.id.appwidget_text,pendingIntent);
+        // Instruct the widget manager to update the widget
+        appWidgetManager.updateAppWidget(appWidgetId, views);
+    }
+    @Override
+    public void onUpdate(Context context, AppWidgetManager appWidgetManager, int[] appWidgetIds) {
+        //widget更新就会调用一次,包括添加以及自动
+        Log.e(TAG,"onUpdate,appWidgetIds = " + Arrays.toString(appWidgetIds));
+        for (int appWidgetId : appWidgetIds) {
+            updateAppWidget(context, appWidgetManager, appWidgetId);
+        }
+    }
+
+    @Override
+    public void onEnabled(Context context) {
+        //第一个widget开启就会被调用
+        Log.e(TAG,"onEnabled");
+    }
+
+    @Override
+    public void onDisabled(Context context) {
+        //最后一个widget被删除就会被调用
+        Log.e(TAG,"onDisabled");
+    }
+
+    @Override
+    public void onRestored(Context context, int[] oldWidgetIds, int[] newWidgetIds) {
+        Log.e(TAG,"onRestored,oldWidgetIds = " + Arrays.toString(oldWidgetIds) + ",newWidgetIds = " + Arrays.toString(newWidgetIds));
+    }
+
+    @Override
+    public void onDeleted(Context context, int[] appWidgetIds) {
+        //每删除一个widget就会调用一次
+        Log.e(TAG,"onDeleted,appWidgetIds = " + Arrays.toString(appWidgetIds));
+    }
+
+    @Override
+    public void onReceive(Context context, Intent intent) {
+        //必须调用父类的方法用于分发
+        super.onReceive(context, intent);
+        Log.e(TAG, "onReceive");
+        if("xml.onclick".equals(intent.getAction())) {
+            RemoteViews views = new RemoteViews(context.getPackageName(), R.layout.my_app_widget);
+            PendingIntent pendingIntent = PendingIntent.getBroadcast(context,0,new Intent("xml.onclick"),PendingIntent.FLAG_UPDATE_CURRENT);
+            views.setOnClickPendingIntent(R.id.appwidget_text,pendingIntent);
+            views.setTextViewText(R.id.appwidget_text, "Index = " + index++);
+            AppWidgetManager.getInstance(context).updateAppWidget(new ComponentName(context,MyAppWidget.class),views);
+        }
+    }
+}
+
+
+ +
 <receiver android:name="xml.MyAppWidget">
+        <intent-filter>
+            <action android:name="android.appwidget.action.APPWIDGET_UPDATE" />
+            <action android:name="xml.onclick" />
+        </intent-filter>
+
+        <meta-data
+            android:name="android.appwidget.provider"
+            android:resource="@xml/my_app_widget_info" />
+</receiver>
+
+
+

功能很简单,就是添加了widget之后,点击widget就会不断地更新wiget上面的文字,我们也可以通过在Activity或者Service里面发广播去更新widget。
AndroidStudio 可以直接新建AppWiget并给我们创建模版,上面代码就是 AndroidStudio 给生成后添加的一小段逻辑,如果要着手开发Wiget的话,建议详细阅读官方的教程

+

PendingIntent概述

PendingIntent可以理解为即将到来的Intent,不是即时发生的,就像上面代码里面给 RemoteViews 设置点击事件,点击之后就发送一个广播。通过 cancel 方法来取消PendingIntent。
PendingIntent支持三种意图: 启动Activity , 启动Service ,发送广播,对应的方法 getActivity,getService,getBroadcast,并且都有4个参数, (Context context,int requestCode,Intent intent,flags) 。

+

PendingIntent匹配规则为内部的Intent(只比较CompontName和intent-filter,不包括Extras)和requestCode相同即可。

+

flags的可选参数:

+ +

对于NotifycationManget#notify(int id, Notification notification), 如果第一个参数是一个常量,多次调用notify只能弹出一个通知,后续的通知就会被替换掉,如果不是常量,多次调用就会弹出多个通知。

+

RemoteViews的内部机制

+

A class that describes a view hierarchy that can be displayed in another process. The hierarchy is inflated from a layout resource file, and this class provides some basic operations for modifying the content of the inflated hierarchy.

+
+

目前RemoteViews支持的类型:(不支持自定义View的他们的子类)

+ +

RemoteViews的典型方法:

+
setTextView(int viewId,Charsquence text); //设置TextView的文本
+setInt(int viewId,String methodName,int value);//反射调用View对象参数为int类型的方法
+setOnClickPendingIntent(int viewId,PendingIntent pendingIntent);//为View添加单击事件,事件类型只能为PendingIntent
+
+

我们先看一下updateWidget的调用过程:

+

MyAppWidget.java:

+
void updateAppWidget(Context context, AppWidgetManager appWidgetManager, int appWidgetId) {
+    RemoteViews views = new RemoteViews(context.getPackageName(), R.layout.my_app_widget);
+    views.setTextViewText(R.id.appwidget_text, "Start");
+    appWidgetManager.updateAppWidget(appWidgetId, views);
+}
+
+

RemoteViews.java:

+

+public void setTextViewText(int viewId, CharSequence text) {
+    setCharSequence(viewId, "setText", text);
+}
+
+public void setCharSequence(int viewId, String methodName, CharSequence value) {
+    addAction(new ReflectionAction(viewId, methodName, ReflectionAction.CHAR_SEQUENCE, value));
+}
+
+private void addAction(Action a) {
+    //...
+    if (mActions == null) {
+        mActions = new ArrayList<Action>();
+    }
+    mActions.add(a);
+    //...
+}
+
+
+

AppWidgetManager.java:

+

+private final IAppWidgetService mService;
+
+public void updateAppWidget(int appWidgetId, RemoteViews views) {
+    if (mService == null) {
+        return;
+    }
+    updateAppWidget(new int[] { appWidgetId }, views);
+}
+
+public void updateAppWidget(int[] appWidgetIds, RemoteViews views) {
+    if (mService == null) {
+        return;
+    }
+    try {
+        mService.updateAppWidgetIds(mPackageName, appWidgetIds, views);
+    }
+    catch (RemoteException e) {
+        throw new RuntimeException("system server dead?", e);
+    }
+}
+
+

可以看得出来我们调用set方法给RemoteViews更新的时候,并没有真正的更新,而是把我们的操作添加到了一个 Action 的List里面,并且Action与RemoteViews都实现了Parcelable接口,就是用来进程间通信的。真正更新的的操作就是调用IAppWidgetService服务的操作,Notification也是利用这种类似的机制。

+

Notification和Widget是由NotificationManager和AppWidgetManager管理的,而NotificationManager和AppWidgetManager内部通过Binder机制(调用Service)和运行在SystemServer进程的NotifycationManagerService和AppWidgetService进行交互,完成我们的界面加载和更新。实质上我们定义的Notification和Widget在被SystemService加载和更新的。

+

这种批量更新的方式减轻了IPC的负担,因为我们很有可能一次更新View的很多内容。

+

上面只是介绍了客户端的基本调用行为,服务端则会调用apply或reapply来批量我们的操作并使用反射调用我们set的方法来更新我们的View,书中讲的不是很透彻,需要深入研究可以参考这几篇博客

+
+

apply会加载布局并更新界面,reapply则只会更新界面

+
+

RemoteViews的其他用途就是进程间更新View,例如Service和Activity不在同一个进程,有Service更新Activity的需求,就可以使用RemoteViews,感觉实际开发中不是很常用,具体参考作者的示例代码, 核心就是通过Intent的Extras存储我们的添加Action的RemoteViews,在接收方获取这个对象,调用apply或reapply就可以得到或者更新View。

+ + + + + + \ No newline at end of file diff --git a/2016/01/19/art-of-android-development-notes-drawable/index.html b/2016/01/19/art-of-android-development-notes-drawable/index.html index e69de29..546d302 100644 --- a/2016/01/19/art-of-android-development-notes-drawable/index.html +++ b/2016/01/19/art-of-android-development-notes-drawable/index.html @@ -0,0 +1,306 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:Android的Drawable + + + + +

Android开发艺术探索:Android的Drawable

自定Drawable比自定义View的成本要低,使用非图片类型的Drawable有利于减少apk的体积。
可以通过 getIntrinsicWidth 和 getIntrinsicHeight 可已获取Drawable的内部宽高,并不是所有的Drawable都有内部宽高,例如ColorDrawable。

+

Drawable的分类

1.BitmapDrawable

+
<?xml version="1.0" encoding="utf-8"?>
+<bitmap
+    xmlns:android="http://schemas.android.com/apk/res/android"
+    android:src="@[package:]drawable/drawable_resource"
+    android:antialias=["true" | "false"]
+    android:dither=["true" | "false"]
+    android:filter=["true" | "false"]
+    android:gravity=["top" | "bottom" | "left" | "right" | "center_vertical" |
+                      "fill_vertical" | "center_horizontal" | "fill_horizontal" |
+                      "center" | "fill" | "clip_vertical" | "clip_horizontal"]
+    android:mipMap=["true" | "false"]
+    android:tileMode=["disabled" | "clamp" | "repeat" | "mirror"] />
+
+ +

2.NinePatchDrawable

+
<nine-patch
+    xmlns:android="http://schemas.android.com/apk/res/android"
+    android:src="@[package:]drawable/drawable_resource"
+    android:dither=["true" | "false"] />
+
+

.9格式的图片

+

3.ShapeDrawable

+
<?xml version="1.0" encoding="utf-8"?>
+<shape
+    xmlns:android="http://schemas.android.com/apk/res/android"
+    android:shape=["rectangle" | "oval" | "line" | "ring"] >
+    <corners
+        android:radius="integer"
+        android:topLeftRadius="integer"
+        android:topRightRadius="integer"
+        android:bottomLeftRadius="integer"
+        android:bottomRightRadius="integer" />
+    <gradient
+        android:angle="integer"
+        android:centerX="integer"
+        android:centerY="integer"
+        android:centerColor="integer"
+        android:endColor="color"
+        android:gradientRadius="integer"
+        android:startColor="color"
+        android:type=["linear" | "radial" | "sweep"]
+        android:useLevel=["true" | "false"] />
+    <padding
+        android:left="integer"
+        android:top="integer"
+        android:right="integer"
+        android:bottom="integer" />
+    <size
+        android:width="integer"
+        android:height="integer" />
+    <solid
+        android:color="color" />
+    <stroke
+        android:width="integer"
+        android:color="color"
+        android:dashWidth="integer"
+        android:dashGap="integer" />
+</shape>
+
+ +

4.LayerDrawable

+
<?xml version="1.0" encoding="utf-8"?>
+<layer-list
+    xmlns:android="http://schemas.android.com/apk/res/android" >
+    <item
+        android:drawable="@[package:]drawable/drawable_resource"
+        android:id="@[+][package:]id/resource_name"
+        android:top="dimension"
+        android:right="dimension"
+        android:bottom="dimension"
+        android:left="dimension" />
+</layer-list>
+
+

多个Drawable叠加效果

+

5.StateListDrawable

+
<?xml version="1.0" encoding="utf-8"?>
+<selector xmlns:android="http://schemas.android.com/apk/res/android"
+    android:constantSize=["true" | "false"]
+    android:dither=["true" | "false"]
+    android:variablePadding=["true" | "false"] >
+    <item
+        android:drawable="@[package:]drawable/drawable_resource"
+        android:state_pressed=["true" | "false"]
+        android:state_focused=["true" | "false"]
+        android:state_hovered=["true" | "false"]
+        android:state_selected=["true" | "false"]
+        android:state_checkable=["true" | "false"]
+        android:state_checked=["true" | "false"]
+        android:state_enabled=["true" | "false"]
+        android:state_activated=["true" | "false"]
+        android:state_window_focused=["true" | "false"] />
+</selector>
+
+

Drawable集合,不同的状态显示不同的View

+

6.LevelListDrawable

+
<?xml version="1.0" encoding="utf-8"?>
+<level-list
+    xmlns:android="http://schemas.android.com/apk/res/android" >
+    <item
+        android:drawable="@drawable/drawable_resource"
+        android:maxLevel="integer"
+        android:minLevel="integer" />
+</level-list>
+
+

Drawable集合,每个Drawable都有一个Level,根据不同的等级,LevelListDrawable会切换显示对应的Drawable。

+

7.TransitionDrawable

+
<?xml version="1.0" encoding="utf-8"?>
+<transition
+xmlns:android="http://schemas.android.com/apk/res/android" >
+    <item
+        android:drawable="@[package:]drawable/drawable_resource"
+        android:id="@[+][package:]id/resource_name"
+        android:top="dimension"
+        android:right="dimension"
+        android:bottom="dimension"
+        android:left="dimension" />
+</transition>
+
+

用于两个Drawable之间淡入淡出的效果,需要调用 startTransition reverseTransition:

+
ImageButton button = (ImageButton) findViewById(R.id.button);
+TransitionDrawable drawable = (TransitionDrawable) button.getDrawable();
+drawable.startTransition(500);
+
+

8.InsetDrawable

+
<?xml version="1.0" encoding="utf-8"?>
+<inset
+    xmlns:android="http://schemas.android.com/apk/res/android"
+    android:drawable="@drawable/drawable_resource"
+    android:insetTop="dimension"
+    android:insetRight="dimension"
+    android:insetBottom="dimension"
+    android:insetLeft="dimension" />
+
+
+

A drawable defined in XML that insets another drawable by a specified distance. This is useful when a View needs a background that is smaller than the View’s actual bounds.

+
+

9.ScaleDrawble

+
<?xml version="1.0" encoding="utf-8"?>
+<scale
+    xmlns:android="http://schemas.android.com/apk/res/android"
+    android:drawable="@drawable/drawable_resource"
+    android:scaleGravity=["top" | "bottom" | "left" | "right" | "center_vertical" |
+                          "fill_vertical" | "center_horizontal" | "fill_horizontal" |
+                          "center" | "fill" | "clip_vertical" | "clip_horizontal"]
+    android:scaleHeight="percentage"
+    android:scaleWidth="percentage" />
+
+

根据自己的level(默认是0)将指定的Drawable缩放到一定比例。

+
View scaleView = findViewById(R.id.scale);
+ScaleDrawable scaleDrawable = scaleView.getBackground();
+scaleDrawable.setLevel(1);
+
+

10.ClipDrawable

+
<?xml version="1.0" encoding="utf-8"?>
+<clip
+    xmlns:android="http://schemas.android.com/apk/res/android"
+    android:drawable="@drawable/drawable_resource"
+    android:clipOrientation=["horizontal" | "vertical"]
+    android:gravity=["top" | "bottom" | "left" | "right" | "center_vertical" |
+                     "fill_vertical" | "center_horizontal" | "fill_horizontal" |
+                     "center" | "fill" | "clip_vertical" | "clip_horizontal"] />
+
+

根据当前的level剪裁另一个Drawable

+
ImageView imageview = (ImageView) findViewById(R.id.image);
+ClipDrawable drawable = (ClipDrawable) imageview.getDrawable();
+drawable.setLevel(drawable.getLevel() + 1000);
+
+

自定义Drawable

主要有两个用途:ImageView的图像显示和View的背景。

+

Drawable书中的示例代码:

+
public class CustomDrawable extends Drawable {
+    private Paint mPaint;
+
+    public CustomDrawable(int color) {
+        mPaint = new Paint(Paint.ANTI_ALIAS_FLAG);
+        mPaint.setColor(color);
+    }
+
+    @Override
+    public void draw(Canvas canvas) {
+        final Rect r = getBounds();//获取实际区域大小,一般和View的尺寸相同
+        float cx = r.exactCenterX();
+        float cy = r.exactCenterY();
+        canvas.drawCircle(cx, cy, Math.min(cx, cy), mPaint);
+    }
+
+    @Override
+    public void setAlpha(int alpha) {
+        mPaint.setAlpha(alpha);
+        invalidateSelf();
+
+    }
+
+    @Override
+    public void setColorFilter(ColorFilter cf) {
+        mPaint.setColorFilter(cf);
+        invalidateSelf();
+    }
+
+    @Override
+    public int getOpacity() {
+        // not sure, so be safe
+        return PixelFormat.TRANSLUCENT;
+    }
+
+        //用与给View使用wrap_content的时候提供下尺寸
+    @Override
+    public int getIntrinsicHeight() {
+        return super.getIntrinsicHeight();
+    }
+
+    @Override
+    public int getIntrinsicWidth() {
+        return super.getIntrinsicWidth();
+    }
+
+}
+
+ + + + + + \ No newline at end of file diff --git a/2016/01/21/art-of-android-development-notes-animation/index.html b/2016/01/21/art-of-android-development-notes-animation/index.html index e69de29..8ba8ae9 100644 --- a/2016/01/21/art-of-android-development-notes-animation/index.html +++ b/2016/01/21/art-of-android-development-notes-animation/index.html @@ -0,0 +1,222 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:Android动画深入分析 + + + + +

Android开发艺术探索:Android动画深入分析

View动画(View Animation)

具有四种动画效果:平移,缩放,旋转,透明度,分别对应类为TranslateAnimation,ScaleAnimation,RotateAnimation,AlphaAnimation,对应的xml标签为,View动画一般使用xml来创建,在/res/anim/your_name.xml,保证可读性,自定义View推荐使用代码,View动画并不会真正改变View的属性,只是一个影像,并且Android系统提供的动画效果只有这几种,如果想要功能丰富的动画并且改变属性,应该使用属性动画( Property Animation )。

+
<?xml version="1.0" encoding="utf-8"?>
+<set xmlns:android="http://schemas.android.com/apk/res/android"
+    android:interpolator="@[package:]anim/interpolator_resource"
+    android:shareInterpolator=["true" | "false"]
+    android:fillAfter="true" >
+    <alpha
+        android:fromAlpha="float"
+        android:toAlpha="float" />
+    <scale
+        android:fromXScale="float"
+        android:toXScale="float"
+        android:fromYScale="float"
+        android:toYScale="float"
+        android:pivotX="float"
+        android:pivotY="float" />
+    <translate
+        android:fromXDelta="float"
+        android:toXDelta="float"
+        android:fromYDelta="float"
+        android:toYDelta="float" />
+    <rotate
+        android:fromDegrees="float"
+        android:toDegrees="float"
+        android:pivotX="float"
+        android:pivotY="float" />
+    <set>
+        ...
+    </set>
+</set>
+
+ +
Button mButton = (Button)findViewById(R.id.bt);
+Animation animation = AnimationUtils.loadAnimation(context,R.anim.your_filename.xml);
+mButton.startAnimation(animation);
+
+

可以为View动画添加动画监听器setAnimationListener。

+

自定义View 3D动画,一般继承Animation并采用Camera来简化矩阵变化,ApiDemo里面有相关实例。

+

帧动画 Drawable Animation

顺序播放一组自定义好的图片

+
<animation-list xmlns:android="http://schemas.android.com/apk/res/android"
+    android:oneshot="true">
+    <item android:drawable="@drawable/rocket_thrust1" android:duration="200" />
+    <item android:drawable="@drawable/rocket_thrust2" android:duration="200" />
+    <item android:drawable="@drawable/rocket_thrust3" android:duration="200" />
+</animation-list>
+
+ImageView rocketImage = (ImageView) findViewById(R.id.rocket_image);
+rocketImage.setBackgroundResource(R.drawable.rocket_thrust);
+rocketAnimation = (AnimationDrawable) rocketImage.getBackground();
+rocketAnimation.start();
+

帧动画使用过多尺寸较大的图片容易出现OOM。

+
View动画特殊使用场景
+

/res/anim/your_filename.xml

+
<LayoutAnimation
+    xmlns:android="http://schemas.android.com/apk/res/android"
+    android:delay="0.5"
+    android:animationOrder="normal"
+    android:anmition="@anim/anim_item"
+    />
+
+

为支持LayoutAnimation的ViewGoup指定android:layoutAnimation=”@anim/anim_layout”,也可以在代码中设置。

+
ListView listView = (ListView)findViewById(R.id.list);
+Animation animation = AnumationUtils.loadAnimation(context,R.anim.anim_item);
+LayoutAnimationController controller = new LayoutAnimationController();
+controller.setDelay(0.5f);
+controller.setOrder(LayoutAnimationController.ORDER_NOMAL);
+listView.setLayoutAnimation(controller);
+
+ +

overridePendingTransition(int enterAnim,int exitAnim) ,这个方法必须在startActivity(intent)或者finish()之后才能生效。

+

属性动画 Property Animation

属性动画默认时间间隔300ms,默认帧率为10ms/帧。
实质是使用插值器(Interpolator)和估值器(Evalutor),计算某一时刻View的属性的值,主要使用的类有ValueAnimator,ObjectAnimator,AnimatorSet。

+

TimeInterpolator 根据事件流逝的百分比来计算出当前属性值改变的百分比。
TypeEvaluator 根据当前属性改变的百分比来计算改变后的属性值。

+

AnimatorListener/AnimatorListenerAdapter监听动画的开始,结束,取消,重复播放,AnimatorUpdateListener监听整个动画过程,没播放一帧就会被调用一次。

+

ObjectAnimator 可以方便地完成动画效果:

+
//没有指定插值器的话,默认使用的是AccelerateDecelerateInterpolator
+public void performAnimation(View view) {
+    ObjectAnimator.ofFloat(view,"x",0,500).setDuration(1000).start();
+}
+
+

使用 ValueAnimator 同样可以完成相同的工作,只是需要我们去手动地改变我们属性的值:

+
public void performAnimation(final View view) {
+    ValueAnimator valueAnimator = ValueAnimator.ofFloat(500f).setDuration(1000);
+    //可以手动设置估值器,并在AnimatorUpdateListener里面通过animation.getAnimatedValue() 获取
+    valueAnimator.setEvaluator(new FloatEvaluator());
+    valueAnimator.addUpdateListener(new ValueAnimator.AnimatorUpdateListener() {
+        @Override
+        public void onAnimationUpdate(ValueAnimator animation) {
+            float value = (float)animation.getAnimatedValue();
+            view.setX(value);
+        }
+    });
+    valueAnimator.start();
+}
+
+

使用 Keyframe,来完成:

+
//第一个参数是动画的完成度,后面的是可变参数
+//每个Keyframe都可以指定自己的插值器
+Keyframe kf0 = Keyframe.ofFloat(0f, 0f);
+Keyframe kf1 = Keyframe.ofFloat(.5f, 360f);
+Keyframe kf2 = Keyframe.ofFloat(1f, 0f);
+PropertyValuesHolder pvhRotation = PropertyValuesHolder.ofKeyframe("rotation", kf0, kf1, kf2);
+ObjectAnimator rotationAnim = ObjectAnimator.ofPropertyValuesHolder(target, pvhRotation)
+rotationAnim.setDuration(5000ms);
+
+

对任意属性XXX做动画:

+ +
+

setX与setTranslationX区别:x就是单纯的位置,包含了子View到父View的左边距(例如marginLeft),translationX是View移动的距离

+
+

多个动画组合:

+ +
ObjectAnimator animX = ObjectAnimator.ofFloat(myView, "x", 50f);
+ObjectAnimator animY = ObjectAnimator.ofFloat(myView, "y", 100f);
+AnimatorSet animSetXY = new AnimatorSet();
+animSetXY.playTogether(animX, animY);
+animSetXY.start();
+
+ +
PropertyValuesHolder pvhX = PropertyValuesHolder.ofFloat("x", 50f);
+PropertyValuesHolder pvhY = PropertyValuesHolder.ofFloat("y", 100f);
+ObjectAnimator.ofPropertyValuesHolder(myView, pvhX, pvyY).start();
+
+

属性动画官方文档

+

使用动画注意事项

+ + + + + + \ No newline at end of file diff --git a/2016/01/23/art-of-android-development-notes-window-and-windowmanager/index.html b/2016/01/23/art-of-android-development-notes-window-and-windowmanager/index.html index e69de29..ba4b23e 100644 --- a/2016/01/23/art-of-android-development-notes-window-and-windowmanager/index.html +++ b/2016/01/23/art-of-android-development-notes-window-and-windowmanager/index.html @@ -0,0 +1,512 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:理解Window和WindowManager + + + + +

Android开发艺术探索:理解 Window 和 WindowManager

Android中的所有视图都是通过Window来呈现的,View都是被加载到Window里面,就是说Window是View的实际管理者,前面说的触摸事件就是从Window开始分发。

+

Window和WindowManager

添加Window:

+
private void addWindow() {
+    final Button floatingButton  = new Button(this);
+    floatingButton.setText("Floating Button");
+    final WindowManager wm = (WindowManager) this.getSystemService(Context.WINDOW_SERVICE);
+    final WindowManager.LayoutParams params = new WindowManager.LayoutParams(WindowManager.LayoutParams.WRAP_CONTENT,
+                                            WindowManager.LayoutParams.WRAP_CONTENT,0,0, PixelFormat.TRANSPARENT);
+    params.gravity = Gravity.TOP|Gravity.LEFT;
+    params.x = 0;
+    params.y = 0;
+    params.flags = WindowManager.LayoutParams.FLAG_NOT_FOCUSABLE
+                    | WindowManager.LayoutParams.FLAG_NOT_TOUCH_MODAL
+                    | WindowManager.LayoutParams.FLAG_SHOW_WHEN_LOCKED;
+    wm.addView(floatingButton,params);
+    floatingButton.setOnTouchListener(new View.OnTouchListener() {
+        float lastRawX;
+        float lastRawY;
+        @Override
+        public boolean onTouch(View v, MotionEvent event) {
+            if(event.getActionMasked() == MotionEvent.ACTION_MOVE) {
+                params.x += event.getRawX() - lastRawX;
+                params.y += event.getRawY() - lastRawY;
+                wm.updateViewLayout(floatingButton,params);
+            }
+            lastRawX = event.getRawX();
+            lastRawY = event.getRawY();
+            return false;
+        }
+    });
+}
+
+

Flags表示Window的属性:

+ +

Window的位置需要结合gravity才能确定,上面的代码给 Button 设置了OnTouchEvent,不断的根据手指触摸的位置更新View的位置(书上的代码有问题,不是使用移动的增量来更新的,会出现手指与Button的位置不对应)。

+

LayoutParams另外一个重要的参数就是 type,总共有 type:

+ +

type也对应着Window的层次,层次大的会显示在最前端。

+

当我们添加一个Window的时候,系统会给我们带上 token 这个参数,以表明我们添加的是哪一种Window,并且是否合法,如果没有会被认为是一个System-Windows,需要添加权限。

+
+

Identifier for this window. This will usually be filled in for you.

+
+

关于Type的一些tip可以参考这个:Android 悬浮窗的小结

+

Window的内部机制

Window是一个抽象的概念,它是以View的形式存在的。我们一般操作Window都是使用 ViewManager 提供的三个接口来实现:

+
public interface ViewManager
+{
+    public void addView(View view, ViewGroup.LayoutParams params);
+    public void updateViewLayout(View view, ViewGroup.LayoutParams params);
+    public void removeView(View view);
+}
+
+

Window添加的过程,WindowManager的真正实现类是WindowManagerImpl:

+
public final class WindowManagerImpl implements WindowManager {
+    //是一个单例,真正执行操作的是WindowManagerGlobal
+    private final WindowManagerGlobal mGlobal = WindowManagerGlobal.getInstance();
+    @Override
+    public void addView(@NonNull View view, @NonNull ViewGroup.LayoutParams params) {
+        //检查参数,并给LayoutParams添加默认的token
+        applyDefaultToken(params);
+        mGlobal.addView(view, params, mDisplay, mParentWindow);
+    }
+}
+
+
public final class WindowManagerGlobal {
+    //用于记录添加Window的相关参数
+    private final ArrayList<View> mViews = new ArrayList<View>();
+    private final ArrayList<ViewRootImpl> mRoots = new ArrayList<ViewRootImpl>();
+    private final ArrayList<WindowManager.LayoutParams> mParams = new ArrayList<WindowManager.LayoutParams>();
+    private final ArraySet<View> mDyingViews = new ArraySet<View>();
+
+    public void addView(View view, ViewGroup.LayoutParams params,
+            Display display, Window parentWindow) { 
+        //前面检查参数,调整params的值...
+        ViewRootImpl root;
+        View panelParentView = null;
+
+        synchronized (mLock) {
+            //...
+            // If this is a panel window, then find the window it is being
+            // attached to for future reference.
+            if (wparams.type >= WindowManager.LayoutParams.FIRST_SUB_WINDOW &&
+                    wparams.type <= WindowManager.LayoutParams.LAST_SUB_WINDOW) {
+                final int count = mViews.size();
+                for (int i = 0; i < count; i++) {
+                    if (mRoots.get(i).mWindow.asBinder() == wparams.token) {
+                        panelParentView = mViews.get(i);
+                    }
+                }
+            }
+
+            root = new ViewRootImpl(view.getContext(), display);
+
+            view.setLayoutParams(wparams);
+
+            mViews.add(view);
+            mRoots.add(root);
+            mParams.add(wparams);
+        }
+
+        // do this last because it fires off messages to start doing things
+        try {
+            root.setView(view, wparams, panelParentView);
+        } catch (RuntimeException e) {
+            // BadTokenException or InvalidDisplayException, clean up.
+            synchronized (mLock) {
+                final int index = findViewLocked(view, false);
+                if (index >= 0) {
+                    removeViewLocked(index, true);
+                }
+            }
+            throw e;
+        }
+    }
+
+}
+
+

从上面的代码可以看的出来添加Window的操作实际是由 ViewRootImpl 来完成的:

+
//源代码实在太多而且很难看懂,以后用到再深究...通过mWindowSession来添加
+mWindowSession.addToDisplay(mWindow, mSeq, mWindowAttributes,
+                            getHostVisibility(), mDisplay.getDisplayId(),
+                            mAttachInfo.mContentInsets, mAttachInfo.mStableInsets,
+                            mAttachInfo.mOutsets, mInputChannel);
+
+
+

最终是通过Binder机制,向WindowManagerService发起一次IPC调用来添加Window。

+

同理删除与更新也是通过Binder。

+

Window的创建过程

有视图(Activity,Dialog,Toast,PopUpWindow)的地方就有Window。

+ +
final void attach(Context context, ActivityThread aThread,
+        Instrumentation instr, IBinder token, int ident,
+        Application application, Intent intent, ActivityInfo info,
+        CharSequence title, Activity parent, String id,
+        NonConfigurationInstances lastNonConfigurationInstances,
+        Configuration config, String referrer, IVoiceInteractor voiceInteractor) {
+    //...
+    mWindow = new PhoneWindow(this);
+    mWindow.setCallback(this);
+    mWindow.setOnWindowDismissedCallback(this);
+    mWindow.getLayoutInflater().setPrivateFactory(this);
+    if (info.softInputMode != WindowManager.LayoutParams.SOFT_INPUT_STATE_UNSPECIFIED) {
+        mWindow.setSoftInputMode(info.softInputMode);
+    }
+    if (info.uiOptions != 0) {
+        mWindow.setUiOptions(info.uiOptions);
+    }
+    mWindow.setWindowManager(
+            (WindowManager)context.getSystemService(Context.WINDOW_SERVICE),
+            mToken, mComponent.flattenToString(),
+            (info.flags & ActivityInfo.FLAG_HARDWARE_ACCELERATED) != 0);
+    if (mParent != null) {
+        mWindow.setContainer(mParent.getWindow());
+    }
+    mWindowManager = mWindow.getWindowManager();    
+    //...
+}
+
+

Window是一个抽象类,目前Android只提供了一种Window的实现,那就是 PhoneWindow。

+

之后我们的视图就是通过setContentView来把我们的View附加到Window上面的:

+
public void setContentView(@LayoutRes int layoutResID) {
+    //这个Window就是刚才的那个PhoneWindow
+    getWindow().setContentView(layoutResID);
+    initWindowDecorActionBar();
+}
+
+//PhoneWindow.java
+@Override
+public void setContentView(int layoutResID) {
+    //...
+    installDecor();
+    //...
+    mLayoutInflater.inflate(layoutResID, mContentParent);
+    //...
+    final Callback cb = getCallback();
+    if (cb != null && !isDestroyed()) {
+        cb.onContentChanged();
+    }
+}
+
+private void installDecor() {
+        //...
+        if (mDecor == null) {
+            mDecor = generateDecor();
+        }
+        if (mContentParent == null) {
+            mContentParent = generateLayout(mDecor);
+        }
+        //...
+}
+
+protected DecorView generateDecor() {
+    return new DecorView(getContext(), -1);
+}
+
+

就是创建一个DectorView(是一个FrameLayout,里面一般包含标题栏和内容栏,具体和主题有关系,例如NoTitle就是没有标题栏内容栏id为android.R.id.content),这个View就是mContentParent,然后会调用inflate把我们的View加载到mContentParent上,最后就会回调onContentChanged(),即Activity里面的内容已经发生改变。
到这个时候,DectorView还不能还没有添加到Window中,还需要调用ActivityThread#handleResumeActivity,里面会回调Activity#onResume,接着调用Activity#makeVisible(),这时候DectorView才能可:

+
void makeVisible() {
+    if (!mWindowAdded) {
+        ViewManager wm = getWindowManager();
+        wm.addView(mDecor, getWindow().getAttributes());
+        mWindowAdded = true;
+    }
+    mDecor.setVisibility(View.VISIBLE);
+}
+
+ +
//Dialog.java
+Dialog(@NonNull Context context, @StyleRes int themeResId, boolean createContextThemeWrapper) {
+    if (createContextThemeWrapper) {
+        if (themeResId == 0) {
+            final TypedValue outValue = new TypedValue();
+            context.getTheme().resolveAttribute(R.attr.dialogTheme, outValue, true);
+            themeResId = outValue.resourceId;
+        }
+        mContext = new ContextThemeWrapper(context, themeResId);
+    } else {
+        mContext = context;
+    }
+    mWindowManager = (WindowManager) context.getSystemService(Context.WINDOW_SERVICE);
+    final Window w = new PhoneWindow(mContext);
+    mWindow = w;
+    w.setCallback(this);
+    w.setOnWindowDismissedCallback(this);
+    w.setWindowManager(mWindowManager, null, null);
+    w.setGravity(Gravity.CENTER);
+    mListenersHandler = new ListenersHandler(this);
+}
+
+public void setContentView(@LayoutRes int layoutResID) {
+    mWindow.setContentView(layoutResID);
+}
+
+public void show() {
+      //...
+      mDecor = mWindow.getDecorView();
+      //...
+      mWindowManager.addView(mDecor, l);
+      mShowing = true;
+      //...
+}
+
+

可以看见和Activity的Window创建类似,创建一个PhoneWindow与Dialog建立关联并设置Window.Callback,还有创建ListenersHandler,用于发送
Dialog#show,cancel,dismiss的回调消息。
然后通过setContentView设置我们的内容,调用show方法,把DectorView添加到Window里面。
另外,创建Dialog使用ApplicationContext会抛异常(里面没有包含Window的Context,例如Service,因为Dilog是做为Sub-Windows附加在Application-Windows上面的),因为里面没有应用的token(就是WindowManager.LayoutParams.token参数),一般使用Activity里面的Context,如果有使用ApplicationContext的需求,就需要改变Window的type,并声明权限:

+
dialog.getWindow().setType(LayoutParams.TYPE_SYSTEM_ERROR);
+
+
<uses-permission android:name="android.permission.SYSTEM_ALERT_WINDOW">
+
+ +

Toast属于系统Window,内部视图可以是系统的默认样式,另一种则是通过setView来指定。通过show()和cancel()来实现Toast的显示和隐藏,并且都是IPC过程调用。远端的服务就是NotificationManagerService。

+

Toast.makeToast里面加载默认的View,创建TN,这是一个Binder对象用于服务端回调

+
public Toast(Context context) {
+    //...
+    mTN = new TN();
+    //...
+}
+

获取一个远端的Binder对象(Proxy),发起IPC调用enqueueToast,TN用于服务端回调客户端

+
public void show() {
+    //...
+    INotificationManager service = getService();
+    String pkg = mContext.getOpPackageName();
+    TN tn = mTN;
+    tn.mNextView = mNextView;
+    try {
+        service.enqueueToast(pkg, tn, mDuration);
+    } catch (RemoteException e) {
+        // Empty
+    }
+}
+
+static private INotificationManager getService() {
+    if (sService != null) {
+        return sService;
+    }
+    sService = INotificationManager.Stub.asInterface(ServiceManager.getService("notification"));
+    return sService;
+}
+

服务端NotifiactionManagerService,执行操作
首先会遍历ToastQueue大小是否超过了50,如果是那么就不再往队列里面添加,防止DOS
然后执行showNextToastLocked

+
public void enqueueToast(String pkg, ITransientNotification callback, int duration) {
+    //注意这个锁
+    synchronized (mToastQueue) {
+            ToastRecord record;
+            int index = indexOfToastLocked(pkg, callback);
+            //如果已经存在就不会添加,只是更新duration
+            if (index >= 0) {
+                record = mToastQueue.get(index);
+                record.update(duration);
+            } else {
+                if (!isSystemToast) {//非系统应用
+                    int count = 0;
+                    final int N = mToastQueue.size();
+                    for (int i=0; i<N; i++) {
+                         final ToastRecord r = mToastQueue.get(i);
+                         if (r.pkg.equals(pkg)) {
+                             count++;
+                             //每一个应用的ToastQueue只能存50个Toast
+                             //所以遍历防止DOS
+                             if (count >= MAX_PACKAGE_NOTIFICATIONS) {
+                                 return;
+                             }
+                         }
+                    }
+                }
+                record = new ToastRecord(callingPid, pkg, callback, duration);
+                mToastQueue.add(record);
+                index = mToastQueue.size() - 1;
+                //...
+            }
+            if (index == 0) {
+                showNextToastLocked();
+            }
+        }
+}
+

获取客户端的TN回调show()方法,mHandler随后post一个Runnable对象,执行handleShow,往Window里面添加View

+
void showNextToastLocked() {
+    ToastRecord record = mToastQueue.get(0);
+    while (record != null) {
+            //...
+            //回调客户端里面的TN
+            record.callback.show();
+            scheduleTimeoutLocked(record);
+            return;
+            //...
+    }
+}
+
+private static class TN extends ITransientNotification.Stub {
+    public void show() {
+        mHandler.post(mShow);
+    }
+
+
+    final Runnable mShow = new Runnable() {
+            @Override
+            public void run() {
+                handleShow();
+            }
+    };
+
+    public void handleShow() {
+        if (mView != mNextView) {
+            // remove the old view if necessary
+            handleHide();
+            mView = mNextView;
+            //...
+            mWM = (WindowManager)context.getSystemService(Context.WINDOW_SERVICE);
+            mWM.addView(mView, mParams);
+            //...
+        }
+    }
+}
+

根据Toast的duration,想Handler发送一个delay消息,用于控制Toast的显示时长

+
private void scheduleTimeoutLocked(ToastRecord r){
+    mHandler.removeCallbacksAndMessages(r);
+    Message m = Message.obtain(mHandler, MESSAGE_TIMEOUT, r);
+    long delay = r.duration == Toast.LENGTH_LONG ? LONG_DELAY : SHORT_DELAY;
+    mHandler.sendMessageDelayed(m, delay);
+}
+
+private final class WorkerHandler extends Handler {
+        @Override
+        public void handleMessage(Message msg)
+        {
+            switch (msg.what)
+            {
+                case MESSAGE_TIMEOUT:
+                    handleTimeout((ToastRecord)msg.obj);
+                    break;
+            }
+        }
+}
+

取出显示的Toast,然后回调客户端的TN#hide,完成隐藏的操作,如果队列里面还有其他的Toast,那个继续调用showNextToastLocked,显示下一个Toast

+
private void handleTimeout(ToastRecord record) {
+    synchronized (mToastQueue) {
+        int index = indexOfToastLocked(record.pkg, record.callback);
+        if (index >= 0) {
+            cancelToastLocked(index);
+        }
+    }
+}
+
+void cancelToastLocked(int index) {
+    ToastRecord record = mToastQueue.get(index);
+    record.callback.hide();
+    mToastQueue.remove(index);
+    if (mToastQueue.size() > 0) {
+        // Show the next one. If the callback fails, this will remove
+        // it from the list, so don't assume that the list hasn't changed
+        // after this point.
+        showNextToastLocked();
+    }
+}
+

执行TN里面的回调,从Window去掉我们添加的View

+
private static class TN extends ITransientNotification.Stub {
+    final Runnable mHide = new Runnable() {
+        @Override
+        public void run() {
+            handleHide();
+            //...
+        }
+    };
+    @Override
+    public void hide() {
+        if (localLOGV) Log.v(TAG, "HIDE: " + this);
+        mHandler.post(mHide);
+    }
+
+
+public void handleHide() {
+    if (mView != null) {
+        // note: checking parent() just to make sure the view has
+        // been added...  i have seen cases where we get here when
+        // the view isn't yet added, so let's try not to crash.
+        if (mView.getParent() != null) {
+            mWM.removeView(mView);
+        }
+        mView = null;
+    }
+}
+

这里需要注意的一点是,TN是在Binder的线程池里面执行的,所以需要使用Handler向我们执行Toast#show或者Toast#cancel的线程发送请求,执行Runnable,如果我们是在子线程里面执行的show操作,那么将会抛异常,因为默认子线程是没有Looper对象的。
我们自己可以新建一个Looper,但是更推荐使用HandlerThread来处理。

+
Looper.prepare();
+Looper.loop();
+
+ + + + + \ No newline at end of file diff --git a/2016/01/31/art-of-android-development-notes-message-looper-handler/index.html b/2016/01/31/art-of-android-development-notes-message-looper-handler/index.html index e69de29..1a92dad 100644 --- a/2016/01/31/art-of-android-development-notes-message-looper-handler/index.html +++ b/2016/01/31/art-of-android-development-notes-message-looper-handler/index.html @@ -0,0 +1,373 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:Android的消息机制 + + + + +

Android开发艺术探索:Android的消息机制

Android消息机制概述

Android的消息机制主要就是指Handler的运行机制以及Handler所附带的MessageQueue和Looper的工作过程,它可以将一个任务切换到Handler所在的线程执行。

+

Android系统规定,子线程是不能更新UI的,因为当我们调用View的invalidate或者requestLayout更新UI的时候,都会经过ViewRootImpl的这个方法:

+
void checkThread() {
+    if (mThread != Thread.currentThread()) {
+        throw new CalledFromWrongThreadException(
+                "Only the original thread that created a view hierarchy can touch its views.");
+    }
+}
+

即当前的线程不是UI线程会抛异常,并且还不建议在UI线程里面做耗时的操作,否则会ANR(Application No Respond)。
Android里面所有的View的更新操作都是线程不安全的,如果都加锁的会话导致更新UI的效率变低而且会让UI的访问逻辑变得复杂,最简单高效的方法就是采用单线程模型来处理,向主线程的消息队列发送消息来更新UI。

+

当我们在Activity或者Service里面new Handler,并直接handleMessage的话,lint会提示下面一下内容:

+
+

This Handler class should be static or leaks might occur
Since this Handler is declared as an inner class, it may prevent the outer class from being garbage collected. If the Handler is using a Looper or MessageQueue for a thread other than the main thread, then there is no issue. If the Handler is using the Looper or MessageQueue of the main thread, you need to fix your Handler declaration, as follows: Declare the Handler as a static class; In the outer class, instantiate a WeakReference to the outer class and pass this object to your Handler when you instantiate the Handler; Make all references to members of the outer class using the WeakReference object.

+
+

上面的警告说的是在主线程,Handler里面会持有主线程的Looper和MessageQueue,由于这种是内部类的方式,Hanlder会持有Activity的引用,如果里面消息没处理完,我们结束掉了Activity,会导致Activity无法被回收进而导致内存泄漏,Service同理。所以我们需可以静态类来这样处理:

+
static class MyHandler extends Handler {
+
+    private WeakReference<MainActivity> weakReference;
+
+    public MyHandler(MainActivity mainActivity) {
+        weakReference = new WeakReference<>(mainActivity);;
+    }
+
+    @Override
+    public void handleMessage(Message msg) {
+        super.handleMessage(msg);
+        MainActivity mainActivity = weakReference.get();
+        if(mainActivity != null) {
+            //do something
+        }
+    }
+}
+

另外在子线程里面创建Handler是没有Looper的,如果向里面发消息的话会抛RuntimeException。

+

Android消息机制分析

Handler的工作流程:

+

Handler工作机制.png

+

因为在子线程里面默认是没有Looper的,所以新建Handler的时候需要在当前线程准备一个Looper:

+
public class Looper {
+
+    static final ThreadLocal<Looper> sThreadLocal = new ThreadLocal<Looper>();
+
+    public static void prepare() {
+        prepare(true);
+    }
+
+    private static void prepare(boolean quitAllowed) {
+        if (sThreadLocal.get() != null) {
+            throw new RuntimeException("Only one Looper may be created per thread");
+        }
+        sThreadLocal.set(new Looper(quitAllowed));
+    }
+
+    public static @Nullable Looper myLooper() {
+        return sThreadLocal.get();
+    }
+
+    private Looper(boolean quitAllowed) {
+        mQueue = new MessageQueue(quitAllowed);
+        mThread = Thread.currentThread();
+    }
+
+}
+
+

ThreadLocal是一个线程内部的数据存储类,所有线程共享一个threadLocal对象,里面的数据每个线程都有他们自己的值,当一个线程改变了里面的值,不会影响到其他线程。所以preare()就是给当前的线程准备了一个Looper,myLooper()返回当前线程里面的Looper对象,quitAllowed表示Looper能否结束,这里为true,可以调用quit退出Looper中的消息循环,主线程里面的Looper是不能结束的。创建Looper的时候里面会构造一个MessageQueue与当前的Looper关联,需要注意,虽然叫消息队列,但使用的数据结构不是队列,而是通过一个单链表来维护消息列表,链表的插入和删除效率高。

+

创建Handler:

+
public class Handler {
+    public Handler() {
+        this(null, false);
+    }
+
+    final MessageQueue mQueue;
+
+    public Handler(Callback callback, boolean async) {
+        mLooper = Looper.myLooper();//没有调用Looper.prepare() 这里是获取不到的
+        if (mLooper == null) {
+            throw new RuntimeException(
+                "Can't create handler inside thread that has not called Looper.prepare()");
+        }
+        mQueue = mLooper.mQueue;//与Looper里面的MessageQueue关联
+        mCallback = callback;
+        mAsynchronous = async;
+    }
+}
+

调用loop()循环或阻塞取出Handler发过来的消息:

+
//Looper.java
+public static void loop() {
+    final Looper me = myLooper();
+    if (me == null) {
+        throw new RuntimeException("No Looper; Looper.prepare() wasn't called on this thread.");
+    }
+    final MessageQueue queue = me.mQueue;
+    //...
+    for (;;) {
+        Message msg = queue.next(); // might block
+        if (msg == null) {
+            // No message indicates that the message queue is quitting.
+            return;
+        }
+        //...
+        msg.target.dispatchMessage(msg);
+        //...
+        msg.recycleUnchecked();//消息复用,通过Message.obtain()
+    }
+}
+

当我们使用Handler发消息的时候,就会next()就会在特定的时刻收到消息并处理,发送消息就是往MessageQueue插入一条消息:

+
pulbic class MessageQueue {
+
+    boolean enqueueMessage(Message msg, long when) {
+          //...
+        synchronized (this) {
+            //..
+            msg.when = when;
+            Message p = mMessages;//头
+            boolean needWake;
+            if (p == null || when == 0 || when < p.when) {
+                // New head, wake up the event queue if blocked.
+                msg.next = p;
+                mMessages = msg;
+                needWake = mBlocked;
+            } else {
+                // Inserted within the middle of the queue.  Usually we don't have to wake
+                // up the event queue unless there is a barrier at the head of the queue
+                // and the message is the earliest asynchronous message in the queue.
+                needWake = mBlocked && p.target == null && msg.isAsynchronous();
+                Message prev;
+                for (;;) {
+                    prev = p;
+                    p = p.next;
+                    if (p == null || when < p.when) {
+                        break;
+                    }
+                    if (needWake && p.isAsynchronous()) {
+                        needWake = false;
+                    }
+                }
+                msg.next = p; // invariant: p == prev.next
+                prev.next = msg;
+            }
+
+            // We can assume mPtr != 0 because mQuitting is false.
+            if (needWake) {
+                nativeWake(mPtr);
+            }
+        }
+        return true;
+    }
+
+
+   Message next() {
+    //...
+    int pendingIdleHandlerCount = -1; // -1 only during first iteration
+    int nextPollTimeoutMillis = 0;
+    for (;;) {
+        if (nextPollTimeoutMillis != 0) {
+            Binder.flushPendingCommands();
+        }
+
+        nativePollOnce(ptr, nextPollTimeoutMillis);
+
+        synchronized (this) {
+            // Try to retrieve the next message.  Return if found.
+            final long now = SystemClock.uptimeMillis();
+            Message prevMsg = null;
+            Message msg = mMessages;
+            if (msg != null && msg.target == null) {
+                // Stalled by a barrier.  Find the next asynchronous message in the queue.
+                do {
+                    prevMsg = msg;
+                    msg = msg.next;
+                } while (msg != null && !msg.isAsynchronous());
+            }
+            if (msg != null) {
+                if (now < msg.when) {
+                    // Next message is not ready.  Set a timeout to wake up when it is ready.
+                    nextPollTimeoutMillis = (int) Math.min(msg.when - now, Integer.MAX_VALUE);
+                } else {
+                    // Got a message.
+                    mBlocked = false;
+                    if (prevMsg != null) {
+                        prevMsg.next = msg.next;
+                    } else {
+                        mMessages = msg.next;
+                    }
+                    msg.next = null;
+                    if (DEBUG) Log.v(TAG, "Returning message: " + msg);
+                    msg.markInUse();
+                    return msg;
+                }
+            } else {
+                // No more messages.
+                nextPollTimeoutMillis = -1;
+            }
+
+            //...
+
+            // If first time idle, then get the number of idlers to run.
+            // Idle handles only run if the queue is empty or if the first message
+            // in the queue (possibly a barrier) is due to be handled in the future.
+            if (pendingIdleHandlerCount < 0
+                    && (mMessages == null || now < mMessages.when)) {
+                pendingIdleHandlerCount = mIdleHandlers.size();
+            }
+            if (pendingIdleHandlerCount <= 0) {
+                // No idle handlers to run.  Loop and wait some more.
+                mBlocked = true;
+                continue;
+            }
+
+            if (mPendingIdleHandlers == null) {
+                mPendingIdleHandlers = new IdleHandler[Math.max(pendingIdleHandlerCount, 4)];
+            }
+            mPendingIdleHandlers = mIdleHandlers.toArray(mPendingIdleHandlers);
+        }
+
+        // Run the idle handlers.
+        // We only ever reach this code block during the first iteration.
+        for (int i = 0; i < pendingIdleHandlerCount; i++) {
+            final IdleHandler idler = mPendingIdleHandlers[i];
+            mPendingIdleHandlers[i] = null; // release the reference to the handler
+
+            boolean keep = false;
+            try {
+                keep = idler.queueIdle();
+            } catch (Throwable t) {
+                Log.wtf(TAG, "IdleHandler threw exception", t);
+            }
+
+            if (!keep) {
+                synchronized (this) {
+                    mIdleHandlers.remove(idler);
+                }
+            }
+        }
+
+        // Reset the idle handler count to 0 so we do not run them again.
+        pendingIdleHandlerCount = 0;
+
+        // While calling an idle handler, a new message could have been delivered
+        // so go back and look again for a pending message without waiting.
+        nextPollTimeoutMillis = 0;
+    }
+}
+}
+

当我们调用next()获取的时候,不可能for里面一直循环获取,消息队列空闲的时候需要一种阻塞的机制等待消息的到来,Android2.2以前使用的是java线程里面的wait来实现的,Android 2.3以后就使用了linux管道加epoll的机制来实现,很多教程都没有详细的描述这个,强烈建议参考老罗的 Android应用程序消息处理机制(Looper、Handler)分析

+

当消息队列处于空闲状态的情况下,可以向里面注册IdleHandler来执行空闲状态下的操作。当Looper.loop()里面获得消息就会调用Handler#dispatchMessage(msg)来分发消息:

+
public void dispatchMessage(Message msg) {
+    if (msg.callback != null) {
+        handleCallback(msg);
+    } else {
+        if (mCallback != null) {
+            if (mCallback.handleMessage(msg)) {
+                return;
+            }
+        }
+        handleMessage(msg);
+    }
+}
+

我们可以在Handler的构造方法里面指定Hanlder.Callback来处理消息,就不用重写handleMessage(Message msg)方法了,并且可以决定是否向handleMessage(Message msg)里面分发。

+

上面方法完整的过程:

+
final Handler mHandler;
+
+new Thread(){
+
+    @Override
+    public void run() {
+        Looper.prepare();
+        mHandler = new Handler(){
+          @Override
+          public void handleMessage(Message msg) {
+              //dosomething
+          }
+
+        };
+        Looper.loop();
+    }
+
+}.start();
+
+mHandler.sendMessage(Message.obtain());
+

主线程的消息循环

主线程ActivityThread默认带有Looper,并且不能结束,前面Activity,Service的启动流程中生命周期回调,都是通过ActivityManagerService向ActivityThread中的ApplicationThread发起IPC调用,由于ApplicationThread中的方法是在又是在Binder线程池里面执行,为了提高系统的并发性,使用Handler发送消息,消息的发送方只要把消息发送到应用程序的消息队列,它可以马上返回去处理别的事情(或者不处理),而不需要等待消息的接收方去处理完这个消息才返回。

+
public class ActivityThread {
+
+        public static void main(String[] args) {
+            //...
+            Looper.prepareMainLooper();
+
+            ActivityThread thread = new ActivityThread();
+            thread.attach(false);
+
+            if (sMainThreadHandler == null) {
+                sMainThreadHandler = thread.getHandler();
+            }
+
+            Looper.loop();
+
+            throw new RuntimeException("Main thread loop unexpectedly exited");
+    }
+}
+
+ + + + + \ No newline at end of file diff --git a/2016/02/01/art-of-android-development-notes-thread-threadpool/index.html b/2016/02/01/art-of-android-development-notes-thread-threadpool/index.html index e69de29..17cae87 100644 --- a/2016/02/01/art-of-android-development-notes-thread-threadpool/index.html +++ b/2016/02/01/art-of-android-development-notes-thread-threadpool/index.html @@ -0,0 +1,256 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:Android的线程与线程池 + + + + +

Android开发艺术探索:Android的线程与线程池

AsyncTask封装了线程池和Handler,方便用来子线程里面更新UI,HandlerThread具有消息循环的线程,可以直接在内部使用Handler,IntentService封装方便地执行后台任务,内部使用HanlderThread来执行任务。
IntentService做为一种服务,不容易被系统杀死,如果一个线程里面附加到四大组件,优先级很低,容易被系统回收,关于进程优先级可以参考官方文档Processes and Threads

+
+

前台进程 > 可见进程 > 服务进程 > 后台进程 > 空进程

+
+

Android的线程形态

+

AsyncTask实例(官方文档里面的):

+
 private class DownloadFilesTask extends AsyncTask<URL, Integer, Long> {
+
+    protected void onPreExecute() {
+        //init
+    }
+
+     protected Long doInBackground(URL... urls) {
+         int count = urls.length;
+         long totalSize = 0;
+         for (int i = 0; i < count; i++) {
+             totalSize += Downloader.downloadFile(urls[i]);
+             publishProgress((int) ((i / (float) count) * 100));
+             // Escape early if cancel() is called
+             if (isCancelled()) break;
+         }
+         return totalSize;
+     }
+
+     protected void onProgressUpdate(Integer... progress) {
+         setProgressPercent(progress[0]);
+     }
+
+     protected void onPostExecute(Long result) {
+         showDialog("Downloaded " + result + " bytes");
+     }
+ }
+
+//use
+  new DownloadFilesTask().execute(url1, url2, url3);
+

AsyncTask<Params, Progress, Result>三个泛型参数:Params为执行doInBackground里面接收的参数,Progress为doInBackground里执行publicProgress,在onProgressUpdate接收的参数,Result为onPostExecute执行结果接收的参数。

+

四个重要的方法:onPreExecute doInBackground onProgressUpdate onPostExecute,除了doInBackground是在Worker Thread里面执行的,其余的都在UI线程里面执行。

+

使用条件限制:

+ +
protected abstract void onHandleIntent(Intent intent);
+

IntentService可用于执行耗时的任务,当任务执行结束之后会自动停止,由于是一种Service,优先级比单独的线程高,不容易被系统回收。IntentService封装了HandlerThread与Handler,从实现的onCreate可看的出来

+
    @Override
+    public void onCreate() {
+        super.onCreate();
+        HandlerThread thread = new HandlerThread("IntentService[" + mName + "]");
+        thread.start();
+
+        mServiceLooper = thread.getLooper();
+        mServiceHandler = new ServiceHandler(mServiceLooper);
+    }
+

启动服务的时候,会执行onStartCommand,然后使用mServiceHandler向HandlerThread发消息,mRedelivery表示Service被意外杀死后的行为,true表示START_REDELIVER_INTENT重启Service并重新发送Intent,false为START_NOT_STICKY不做任何操作,可以通过setIntentRedelivery来控制。

+
@Override
+public int onStartCommand(Intent intent, int flags, int startId) {
+    onStart(intent, startId);
+    return mRedelivery ? START_REDELIVER_INTENT : START_NOT_STICKY;
+}
+
+@Override
+public void onStart(Intent intent, int startId) {
+    Message msg = mServiceHandler.obtainMessage();
+    msg.arg1 = startId;
+    msg.obj = intent;
+    mServiceHandler.sendMessage(msg);
+}
+

ServiceHandler的实现,收到消息后调用onHandleIntent处理我们发来的请求,结束之后调用stopSelf(int startId)来尝试停止服务,注意调用stopSelf()会立刻停止服务,stopSelf(int startId)会在停止服务之前判断启动服务的次数是否和startId相等,如果相等就停止服务,这个策略是有ActivityManagerService来控制的。

+
private final class ServiceHandler extends Handler {
+    public ServiceHandler(Looper looper) {
+        super(looper);
+    }
+
+    @Override
+    public void handleMessage(Message msg) {
+        onHandleIntent((Intent)msg.obj);
+        stopSelf(msg.arg1);
+    }
+}
+

由于使用的是Handler机制来处理,所以执行任务是串行的。

+

Android中的线程池

使用线程池能够对线程做管理,并且减小线程创建和销毁的开销,控制线程的并发数,避免大量线程抢占系统资源。

+

线程池主要使用ThreadPoolExecutor来实现,通过配置构造方法的参数来达到想要的效果:

+
public ThreadPoolExecutor(int corePoolSize,
+                              int maximumPoolSize,
+                              long keepAliveTime,
+                              TimeUnit unit,
+                              BlockingQueue<Runnable> workQueue,
+                              ThreadFactory threadFactory,
+                              RejectedExecutionHandler handler)
+

corePoolSize:线程池核心线程数,核心线程默认情况下会一直存活,即使线程池处于闲置状态

+

maximumPoolSize:允许线程池的最大数量,达到这个值之后,后续的任务将会被阻塞

+

keepAliveTime:非核心线程闲置的超时时长,超过就会被回收

+

TimeUnit:keepAliveTime的单位

+

workQueue:线程池里面的任务队列

+

threadFactory:线程池工厂,为线程池提供创建线程的策略

+

handler:当线程池慢了的拒绝策略,默认的策略是抛RejectedExecutionException

+

ThreadPoolExecutor线程池执行任务规则:

+ +

线程池的分类

创建线程池可以使用JDK给我们提供的Executors来创建,下面四种比较常见的线程池:

+ +
 public static ExecutorService newFixedThreadPool(int nThreads) {
+        return new ThreadPoolExecutor(nThreads, nThreads,
+                                      0L, TimeUnit.MILLISECONDS,
+                                      new LinkedBlockingQueue<Runnable>());
+ }
+

线程数量固定的线程池,处于空闲空闲状态也不会被回收,任务队列没有大小限制。

+ +
public static ExecutorService newCachedThreadPool() {
+    return new ThreadPoolExecutor(0, Integer.MAX_VALUE,
+                                  60L, TimeUnit.SECONDS,
+                                  new SynchronousQueue<Runnable>());
+}
+

线程数量不定的线程池,只有非核心线程,线程数量不能大于Integer.MAX_VALUE,提交新任务就会启动新线程,空闲线程只能存活60s,任务队列相当于一个空集合,提交任何任务都会被立即执行。

+ +
  public static ScheduledExecutorService newScheduledThreadPool(int corePoolSize) {
+        return new ScheduledThreadPoolExecutor(corePoolSize);
+    }
+
+  public ScheduledThreadPoolExecutor(int corePoolSize) {
+        super(corePoolSize, Integer.MAX_VALUE, 0, NANOSECONDS,
+              new DelayedWorkQueue());
+    }
+

核心线程固定,非核心线程没有限制的线程池,并且当非核心线程闲置时会被立即回收,主要用来执行定时任务和具有固定周期的重复任务。

+ +
public static ExecutorService newSingleThreadExecutor() {
+    return new FinalizableDelegatedExecutorService
+        (new ThreadPoolExecutor(1, 1,
+                                0L, TimeUnit.MILLISECONDS,
+                                new LinkedBlockingQueue<Runnable>()));
+}
+

内部只有一个核心线程,确保所有任务都按照顺序在同一个线程中执行,所以任务之间不需要处理线程同步的问题。

+ + + + + + \ No newline at end of file diff --git a/2016/02/03/art-of-android-development-notes-bitmap-cache/index.html b/2016/02/03/art-of-android-development-notes-bitmap-cache/index.html index e69de29..5bf8e07 100644 --- a/2016/02/03/art-of-android-development-notes-bitmap-cache/index.html +++ b/2016/02/03/art-of-android-development-notes-bitmap-cache/index.html @@ -0,0 +1,177 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:Bitmap的加载和Cache + + + + +

Android开发艺术探索:Bitmap的加载和Cache

Bitmap的高效加载

官方文档

+

加载Bitmap主要使用的是Android系统提供的BitmapFactory,提供了四种方法,decodeFile、decodeResource、decodeStream、decodeByteArray。
高效加载Bitmap就是利用BitmapFactory.Options来加载所需要的尺寸图片,利用采样率参数inSampleSize,当inSampleSize为1是,采样后的图片为原始大小,当采样率为2时,宽高都为原来的1/2,像素数为原来的1/4,内存大小为原来的1/4。imSampleSize小于1,无缩放效果。
加载图片步骤:
  将BitmapFactory.Options的inJustDecodeBounds参数设为true,并加载图片,就可以得到BitmpaFactory.Options里图片的原始宽高信息,对应于outWidth和outHeight,根据需要的图片大小和原始宽高计算采样与,再将BitmapFactory.Options.inJustDecodeBounds设置为false重新加载图片就可以得到目标图片的大小。

+
public static Bitmap decodeSampledBitmapFromResource(Resources res, int resId,
+        int reqWidth, int reqHeight) {
+
+    // First decode with inJustDecodeBounds=true to check dimensions
+    final BitmapFactory.Options options = new BitmapFactory.Options();
+    options.inJustDecodeBounds = true;
+    BitmapFactory.decodeResource(res, resId, options);
+
+    // Calculate inSampleSize
+    options.inSampleSize = calculateInSampleSize(options, reqWidth, reqHeight);
+
+    // Decode bitmap with inSampleSize set
+    options.inJustDecodeBounds = false;
+    return BitmapFactory.decodeResource(res, resId, options);
+}
+
+public static int calculateInSampleSize(
+            BitmapFactory.Options options, int reqWidth, int reqHeight) {
+    // Raw height and width of image
+    final int height = options.outHeight;
+    final int width = options.outWidth;
+    int inSampleSize = 1;
+
+    if (height > reqHeight || width > reqWidth) {
+
+        final int halfHeight = height / 2;
+        final int halfWidth = width / 2;
+//图片实际大小每次对半减,直到长和宽同时小于等于我们需要的长和宽
+        // Calculate the largest inSampleSize value that is a power of 2 and keeps both
+        // height and width larger than the requested height and width.
+        while ((halfHeight / inSampleSize) > reqHeight
+                && (halfWidth / inSampleSize) > reqWidth) {
+            inSampleSize *= 2;
+        }
+    }
+
+    return inSampleSize;
+}
+

Android中的缓存策略

常用的缓存算法是LRU(Least Recently Used),最近最少使用算法,当缓存满是,优先淘汰最近最少使用的缓存对象。Android中主要用LruCache实现内存缓存,DiskLruCache实现磁盘缓存。

+ +

强应用:直接的对象引用
软引用:当一个对象只有软引用存在是,系统内存不足时此对象就会被gc回收
弱引用:当一个对象只有弱引用是,此对象随时被gc回收

+
int maxMemory = (int)(Runtime.getRuntime().maxMemory()/1024);
+int cacheSize = maxMemory / 8;
+mLruCache = new LruCache<String,Bitmap>(cacheSize) {
+    @Override
+    protected int sizeOf(String key,Bitmap bitmap) {
+        return bitmap.getRowBytes() * bitmap.getHeight() / 1024;
+    }
+
+        protected void entryRemoved(boolean evicted, K key, V oldValue, V newValue) {
+            //do something
+        }
+}
+
+//获取缓存对象
+mLruCache.get(key);
+//存储缓存对象
+mLruCache.put(key,bitmap);
+//移除缓存对象
+mLruCache.remote(key);
+

sizeOf用于计算缓存对象大小,这里的大小单位和总容量一直,这里是KB。LruCache源码

+ +

1.创建缓存

+
public static DiskLruCache open(File directory, int appVersion, int valueCount, long maxSize)
+

directory:可写的缓存目录,可以使用SD卡上面的缓存目录/sdcard/Android/data/package_name/cache,使用该目录的好处就是当APK卸载之后,就会自动删除目录
valueCount:单个节点所对应的缓存个数,一般为1即可
maxSize:缓存大小,单位字节

+

2.添加缓存

+
DiskLruCache.Editor editor = mDiskLruCache.editor(key);
+OutputStream os = editor.newOutputStream(0);
+if(downloadUrlToStream(url,os)) {
+    editor.commit();
+}else {
+    editor.abort();
+}
+mDiskLruCache.flush();
+

3.缓存查找

+
DiskLruCache.Snapshot snapShot = mDiskLruCache.get(key);
+if(snapShot != null) {
+    FileInputStream fis = (FileInputStream)snapShot.getInputStrean(0);
+    FileDescriptor fd = fis.getFD();
+    //... 
+}
+

FileInputStream是一种有序的文件流,decodeStream会影响文件流的属性,导致第二次decodeStream为空,可以通过BitmapFactory.decodeFileDescriptor方法来加载一张缩放后的图片。

+

4.删除缓存

+

ImageLoader的实现

一个优秀的ImageLoader应该具备的功能:

+ +

文中的例子使用线程池和Handler来实现的,示例代码

+

优化列表的卡顿现象

列表滑动的时候停止加载图片,停止下来在加载图片,可以给ListView或者GridView设置setOnScrillListener,在OnScrollListener的onScrollStateChanged方法中判断列表是否处于滑动状态。

+ + + + + + \ No newline at end of file diff --git a/2016/02/04/art-of-android-development-notes-technology/index.html b/2016/02/04/art-of-android-development-notes-technology/index.html index e69de29..93526ad 100644 --- a/2016/02/04/art-of-android-development-notes-technology/index.html +++ b/2016/02/04/art-of-android-development-notes-technology/index.html @@ -0,0 +1,103 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:综合技术 + + + + +

Android开发艺术探索:综合技术

使用CrashHandler来获取应用的crash信息

通过给Thread设置线程默认的异常处理器,由于线程默认处理器是Thread类的静态成员,所以它的作用对象是当前进程的所有线程,可以在Application初始化的时候设置,然后将UncaughtExceptionHandler回调的异常信息做处理。

+
/**
+ + Sets the default uncaught exception handler. This handler is invoked in
+ + case any Thread dies due to an unhandled exception.
+ *
+ + @param handler
+ +            The handler to set or null.
+ */
+public static void setDefaultUncaughtExceptionHandler(UncaughtExceptionHandler handler) {
+    Thread.defaultUncaughtHandler = handler;
+}
+

使用multidex来解决方法数越界

Android中的单个dex文件所能够包含的最大方法数是65536,这包含Android Framework、依赖的jar包以及应用本身的代码中的方法。当应用的方法达到65536后编译器就无法完成编译工作并抛出类似下面的异常:

+
 UNEXPECTED TOP-LEVEL EXCEPTION:
+    com.android.dex.DexIndexOverflowException: method ID not in [0, 0xffff]: 65536
+        at com.android.dx.merge.DexMerger$6.updateIndex(DexMerger.java:502)
+        at com.android.dx.merge.DexMerger$IdMerger.mergeSorted(DexMerger.java:277)
+        at com.android.dx.merge.DexMerger.mergeMethodIds(DexMerger.java:491)
+        at com.android.dx.merge.DexMerger.mergeDexes(DexMerger.java:168)
+        at com.android.dx.merge.DexMerger.merge(DexMerger.java:189)
+        at com.android.dx.command.dexer.Main.mergeLibraryDexBuffers(Main.java:454)
+        at com.android.dx.command.dexer.Main.runMonoDex(Main.java:303)
+        at com.android.dx.command.dexer.Main.run(Main.java:246)
+        at com.android.dx.command.dexer.Main.main(Main.java:215)
+        at com.android.dx.command.Main.main(Main.java:106)
+

之前很多应用采用插件化机制来动态加载部分的dex,通过将dex拆分成多个dex,一定程度上解决了方法越界的问题,但是插件化是一套重量级的技术方案,兼容问题较多,不是很好解决方法数越界的方案。
Google在2014年提出了multidex的解决方案,能够很好解决方法数越界的问题。

+

Android动态加载技术

反编译初步

使用apkool,dex2jar,jd-gui反编译apk

+ + + + + + \ No newline at end of file diff --git a/2016/02/10/art-of-android-development-notes-bindservice/index.html b/2016/02/10/art-of-android-development-notes-bindservice/index.html index e69de29..1a68287 100644 --- a/2016/02/10/art-of-android-development-notes-bindservice/index.html +++ b/2016/02/10/art-of-android-development-notes-bindservice/index.html @@ -0,0 +1,976 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:bindService方式启动Service + + + + +

Android开发艺术探索:四大组件的工作过程之bindService方式启动Service

bindService启动过程

bindService方式启动的入口在ContextImpl,这里假设是在独立的进程里面启动,对应的时序图

+
@Override
+public boolean bindService(Intent service, ServiceConnection conn,
+        int flags) {
+    warnIfCallingFromSystemProcess();
+    return bindServiceCommon(service, conn, flags, Process.myUserHandle());
+}
+
+private boolean bindServiceCommon(Intent service, ServiceConnection conn, int flags,
+        UserHandle user) {
+    IServiceConnection sd;
+    //...
+    //mPackageInfo为LoadedApk
+    if (mPackageInfo != null) {
+        //将ServiceConnection与ServiceDispatcher关联起来
+        sd = mPackageInfo.getServiceDispatcher(conn, getOuterContext(),
+                mMainThread.getHandler(), flags);
+    } else {
+        throw new RuntimeException("Not supported in system context");
+    }
+    validateServiceIntent(service);//验证Intent
+    try {
+        IBinder token = getActivityToken();
+        //...
+        int res = ActivityManagerNative.getDefault().bindService(
+            mMainThread.getApplicationThread(), getActivityToken(),
+            service, service.resolveTypeIfNeeded(getContentResolver()),
+            sd, flags, user.getIdentifier());
+        //...
+        return res != 0;
+    } catch (RemoteException e) {
+        return false;
+    }
+}
+

mPackageInfo是LoadedApk类型,调用getServiceDispatcher将ServiceConnection与ServiceDispatcher关联,并存储在mServices容器里面:

+
//每个进程维护一个LoadedApk实例,Context有多个实例(比如多个Activity)
+public final class LoadedApk {
+
+    private final ArrayMap<Context, ArrayMap<ServiceConnection, LoadedApk.ServiceDispatcher>> mServices
+    = new ArrayMap<Context, ArrayMap<ServiceConnection, LoadedApk.ServiceDispatcher>>();
+
+    public final IServiceConnection getServiceDispatcher(ServiceConnection c,
+        Context context, Handler handler, int flags) {
+    synchronized (mServices) {
+        LoadedApk.ServiceDispatcher sd = null;
+        ArrayMap<ServiceConnection, LoadedApk.ServiceDispatcher> map = mServices.get(context);
+        if (map != null) {
+            sd = map.get(c);
+        }
+        if (sd == null) {
+            sd = new ServiceDispatcher(c, context, handler, flags);
+            if (map == null) {
+                map = new ArrayMap<ServiceConnection, LoadedApk.ServiceDispatcher>();
+                mServices.put(context, map);
+            }
+            map.put(c, sd);
+        } else {
+            sd.validate(context, handler);
+        }
+        return sd.getIServiceConnection();
+    }
+  }
+}
+

ServiceDispatcher内部保存了InnerConnection和ServiceConnection对象,用于当服务绑定,调用ServiceConnection#onServiceConnected:

+
private static class InnerConnection extends IServiceConnection.Stub {
+    //使用WeakReference防止客户端退出AMS还持有InnerConnection引用以至内存泄漏
+    final WeakReference<LoadedApk.ServiceDispatcher> mDispatcher;
+
+    InnerConnection(LoadedApk.ServiceDispatcher sd) {
+        mDispatcher = new WeakReference<LoadedApk.ServiceDispatcher>(sd);
+    }
+
+    public void connected(ComponentName name, IBinder service) throws RemoteException {
+        LoadedApk.ServiceDispatcher sd = mDispatcher.get();
+        if (sd != null) {
+            sd.connected(name, service);
+        }
+    }
+}
+

先分析客户端发起请求的过程,ActivityManagerNative.getDefault()得到ActivityManagerProxy,调用bindService:

+
public int bindService(IApplicationThread caller, IBinder token,
+        Intent service, String resolvedType, IServiceConnection connection,
+        int flags, int userId) throws RemoteException {
+    Parcel data = Parcel.obtain();
+    Parcel reply = Parcel.obtain();
+    data.writeInterfaceToken(IActivityManager.descriptor);
+    data.writeStrongBinder(caller != null ? caller.asBinder() : null);
+    data.writeStrongBinder(token);
+    service.writeToParcel(data, 0);
+    data.writeString(resolvedType);
+    data.writeStrongBinder(connection.asBinder());
+    data.writeInt(flags);
+    data.writeInt(userId);
+    mRemote.transact(BIND_SERVICE_TRANSACTION, data, reply, 0);
+    reply.readException();
+    int res = reply.readInt();
+    data.recycle();
+    reply.recycle();
+    return res;
+}
+

进入到ActivityManagerService执行bindService:

+
final ActiveServices mServices;
+
+public int bindService(IApplicationThread caller, IBinder token,
+        Intent service, String resolvedType,
+        IServiceConnection connection, int flags, int userId) {
+    //...
+    synchronized(this) {
+        return mServices.bindServiceLocked(caller, token, service, resolvedType,
+                connection, flags, userId);
+    }
+}
+

调用ActiveServices#bindServiceLocked进行下一步处理:

+
int bindServiceLocked(IApplicationThread caller, IBinder token,
+        Intent service, String resolvedType,
+        IServiceConnection connection, int flags, int userId) {
+    final ProcessRecord callerApp = mAm.getRecordForAppLocked(caller);
+
+    ActivityRecord activity = null;
+    //如果是在Activity里执行的绑定操作,则token不为空
+    if (token != null) {
+        //Activity是否在栈中
+        activity = ActivityRecord.isInStackLocked(token);
+        if (activity == null) {
+            Slog.w(TAG, "Binding with unknown activity: " + token);
+            return 0;
+        }
+    }
+
+    int clientLabel = 0;
+    PendingIntent clientIntent = null;
+    //...
+
+    final boolean callerFg = callerApp.setSchedGroup != Process.THREAD_GROUP_BG_NONINTERACTIVE;
+
+    //使用PackageManagerService解析出Intent里面对应的ServiceRecord
+    ServiceLookupResult res =
+        retrieveServiceLocked(service, resolvedType,
+                Binder.getCallingPid(), Binder.getCallingUid(), userId, true, callerFg);
+    if (res == null) {
+        return 0;
+    }
+    if (res.record == null) {
+        return -1;
+    }
+    ServiceRecord s = res.record;
+
+    final long origId = Binder.clearCallingIdentity();
+
+    try {
+        //从mRestartingServices里面去掉要绑定的ServiceRecord
+        if (unscheduleServiceRestartLocked(s, callerApp.info.uid, false)) {
+            //...
+        }
+
+        //将调用进程和被调用进程关联起来,存储在ActivityManagerService#mAssociations
+        mAm.startAssociationLocked(callerApp.uid, callerApp.processName,
+                s.appInfo.uid, s.name, s.processName);
+
+        AppBindRecord b = s.retrieveAppBindingLocked(service, callerApp);
+        //表示一个客户端的连接
+        ConnectionRecord c = new ConnectionRecord(b, activity,
+                connection, flags, clientLabel, clientIntent);
+
+        IBinder binder = connection.asBinder();
+        ArrayList<ConnectionRecord> clist = s.connections.get(binder);
+        if (clist == null) {
+            clist = new ArrayList<ConnectionRecord>();
+            s.connections.put(binder, clist);
+        }
+        clist.add(c);
+        b.connections.add(c);
+        if (activity != null) {
+            if (activity.connections == null) {
+                activity.connections = new HashSet<ConnectionRecord>();
+            }
+            activity.connections.add(c);
+        }
+        b.client.connections.add(c);
+        //BIND_ABOVE_CLIENT告诉AMS绑定Service的优先级比客户端要高
+        if ((c.flags&Context.BIND_ABOVE_CLIENT) != 0) {
+            b.client.hasAboveClient = true;
+        }
+        if (s.app != null) {
+            updateServiceClientActivitiesLocked(s.app, c, true);
+        }
+
+        clist = mServiceConnections.get(binder);
+        if (clist == null) {
+            clist = new ArrayList<ConnectionRecord>();
+            mServiceConnections.put(binder, clist);
+        }
+        clist.add(c);
+        //Service没有启动则启动Service
+        if ((flags&Context.BIND_AUTO_CREATE) != 0) {
+            s.lastActivity = SystemClock.uptimeMillis();
+            if (bringUpServiceLocked(s, service.getFlags(), callerFg, false) != null) {
+                return 0;
+            }
+        }
+
+        if (s.app != null) {
+           //...update process
+        }
+
+
+        if (s.app != null && b.intent.received) {
+            // Service is already running, so we can immediately
+            // publish the connection.
+            //...
+        } else if (!b.intent.requested) {
+            requestServiceBindingLocked(s, b.intent, callerFg, false);
+        }
+        //...
+    } finally {
+        Binder.restoreCallingIdentity(origId);
+    }
+
+    return 1;
+}
+
+private final boolean requestServiceBindingLocked(ServiceRecord r,
+        IntentBindRecord i, boolean execInFg, boolean rebind) {
+    if (r.app == null || r.app.thread == null) {
+        // If service is not currently running, can't yet bind.
+        return false;
+    }
+    //...
+}
+

如果是在Activity里执行的绑定操作,验证一下Activity是否在栈中。然后将调用进程和被调用进程关联起来,存储在ActivityManagerService#mAssociations。AppBindRecord表示为一个ServiceRecord和他所有客户端的连接,ConnectionRecord表示一个客户端连接。

+

如果我们调用bindService的第三个参数设置了Context.BIND_AUTO_CREATE则会在Service没有启动的情况下启动Service。所以就会执行bringUpServiceLocked来启动Service。

+
private final String bringUpServiceLocked(ServiceRecord r,
+        int intentFlags, boolean execInFg, boolean whileRestarting) {
+    //Service已启动,直接调用sendServiceArgsLocked,注意这里客户端不会调用onStartCommand。
+    if (r.app != null && r.app.thread != null) {
+        sendServiceArgsLocked(r, execInFg, false);
+        return null;
+    }
+
+    //...一些延迟启动的处理
+
+    final boolean isolated = (r.serviceInfo.flags&ServiceInfo.FLAG_ISOLATED_PROCESS) != 0;
+    final String procName = r.processName;
+    ProcessRecord app;
+
+    if (!isolated) {
+        //...
+    } else {
+        //...
+        app = r.isolatedProc;
+    }
+
+    if (app == null) {
+        if ((app=mAm.startProcessLocked(procName, r.appInfo, true, intentFlags,
+                "service", r.name, false, isolated, false)) == null) {
+           //...
+        }
+        if (isolated) {
+            r.isolatedProc = app;
+        }
+    }
+
+    //...
+    //将ServiceRecord加入mPendingServices里,等进程启动后做处理
+    if (!mPendingServices.contains(r)) {
+        mPendingServices.add(r);
+    }
+
+    return null;
+}
+

接着就会调用ActivityManagerService#startProcessLocked开启新的进程,并将当前的ServiceRecord加入mPendingServices里,等进程启动后做处理。
前面bindServiceLocked方法里,由于Service的进程没有启动,所以就不会执行后面的操作。

+

开启新的进程入口就是ActivityThread#main:

+
public final class ActivityThread {
+    public static void main(String[] args) {
+        Looper.prepareMainLooper();
+        ActivityThread thread = new ActivityThread();
+        thread.attach(false);
+        Looper.loop();
+        throw new RuntimeException("Main thread loop unexpectedly exited");
+    }
+
+    private void attach(boolean system) {
+        //...
+        if (!system) {
+            //...
+            final IActivityManager mgr = ActivityManagerNative.getDefault();
+            try {
+                mgr.attachApplication(mAppThread);
+            } catch (RemoteException ex) {
+                // Ignore
+            }
+            //...
+        } 
+    }
+}
+

新进程启动后就会调用,ActivityManagerNative.getDefault()得到ActivityManagerProxy,向ActivityManagerService发起IPC调用(同步),所以就进入到了ActivityManagerService#attachApplication:

+
@Override
+public final void attachApplication(IApplicationThread thread) {
+    synchronized (this) {
+        int callingPid = Binder.getCallingPid();
+        final long origId = Binder.clearCallingIdentity();
+        attachApplicationLocked(thread, callingPid);
+        Binder.restoreCallingIdentity(origId);
+    }
+}
+
+private final boolean attachApplicationLocked(IApplicationThread thread,
+        int pid) {
+    ProcessRecord app;
+    if (pid != MY_PID && pid >= 0) {
+        synchronized (mPidsSelfLocked) {
+            app = mPidsSelfLocked.get(pid);
+        }
+    } else {
+        app = null;
+    }
+    final String processName = app.processName;
+    //...
+    app.makeActive(thread, mProcessStats);
+    app.curAdj = app.setAdj = -100;
+    app.curSchedGroup = app.setSchedGroup = Process.THREAD_GROUP_DEFAULT;
+    app.forcingToForeground = null;
+    updateProcessForegroundLocked(app, false, false);
+    app.hasShownUi = false;
+    app.cached = false;
+    app.killedByAm = false;
+    //...
+    try {
+      //...
+        thread.bindApplication(processName, appInfo, providers, app.instrumentationClass,
+                profilerInfo, app.instrumentationArguments, app.instrumentationWatcher,
+                app.instrumentationUiAutomationConnection, testMode, enableOpenGlTrace,
+                isRestrictedBackupMode || !normalMode, app.persistent,
+                new Configuration(mConfiguration), app.compat,
+                getCommonServicesLocked(app.isolated),
+                mCoreSettingsObserver.getCoreSettingsLocked());
+        updateLruProcessLocked(app, false, null);
+        app.lastRequestedGc = app.lastLowMemory = SystemClock.uptimeMillis();
+    } catch (Exception e) {
+       //...
+    }
+
+    //...
+
+    boolean badApp = false;
+
+    // Find any services that should be running in this process...
+    if (!badApp) {
+        try {
+            didSomething |= mServices.attachApplicationLocked(app, processName);
+        } catch (Exception e) {
+            Slog.wtf(TAG, "Exception thrown starting services in " + app, e);
+            badApp = true;
+        }
+    }
+
+  //...
+
+    return true;
+}
+

首先会调用客户端的ApplicationThread#bindApplication,让客户端做一些初始化工作。
然后让ActiveServices执行attachApplicationLocked处理刚才放入到mPendingServices里面的ServiceRecord里面。

+
boolean attachApplicationLocked(ProcessRecord proc, String processName)
+        throws RemoteException {
+    boolean didSomething = false;
+    if (mPendingServices.size() > 0) {
+        ServiceRecord sr = null;
+        try {
+            for (int i=0; i<mPendingServices.size(); i++) {
+                sr = mPendingServices.get(i);
+                if (proc != sr.isolatedProc && (proc.uid != sr.appInfo.uid
+                        || !processName.equals(sr.processName))) {
+                    continue;
+                }
+                mPendingServices.remove(i);
+                i--;
+                proc.addPackage(sr.appInfo.packageName, sr.appInfo.versionCode,
+                        mAm.mProcessStats);
+                realStartServiceLocked(sr, proc, sr.createdFromFg);
+                didSomething = true;
+            }
+        } catch (RemoteException e) {
+           //...
+        }
+    }
+    //...
+    return didSomething;
+}
+

找到要处理的ServiceRecord调用realStartServiceLocked做进一步处理:

+
private final void realStartServiceLocked(ServiceRecord r,
+        ProcessRecord app, boolean execInFg) throws RemoteException {
+    //...
+    r.app = app;
+    r.restartTime = r.lastActivity = SystemClock.uptimeMillis();
+
+    app.services.add(r);
+    bumpServiceExecutingLocked(r, execInFg, "create");
+    mAm.updateLruProcessLocked(app, false, null);
+    mAm.updateOomAdjLocked();
+
+    boolean created = false;
+    try {
+        //通知创建Service并执行onCreate
+        app.thread.scheduleCreateService(r, r.serviceInfo,
+                mAm.compatibilityInfoForPackageLocked(r.serviceInfo.applicationInfo),
+                app.repProcState);
+        r.postNotification();
+        created = true;
+    } catch (DeadObjectException e) {
+      //...
+    } finally {
+        //...
+    }
+
+    requestServiceBindingsLocked(r, execInFg);
+
+    updateServiceClientActivitiesLocked(app, null, true);
+
+    //这里不会加入到pendingStarts里面,所以不会执行onStartCommand
+    if (r.startRequested && r.callStart && r.pendingStarts.size() == 0) {
+        r.pendingStarts.add(new ServiceRecord.StartItem(r, false, r.makeNextStartId(),
+                null, null));
+    }
+
+    sendServiceArgsLocked(r, execInFg, true);
+    //...
+}
+

IPC调用客户的ApplicationThread#scheduleCreateService(异步), 通知创建Service并执行onCreate。然后调用requestServiceBindingsLocked做绑定服务的下一步处理,这里创建的Service并不会回调onStartCommand方法:

+
private final void requestServiceBindingsLocked(ServiceRecord r, boolean execInFg) {
+    //找到特定Intent启动的请求实例
+    for (int i=r.bindings.size()-1; i>=0; i--) {
+        IntentBindRecord ibr = r.bindings.valueAt(i);
+        if (!requestServiceBindingLocked(r, ibr, execInFg, false)) {
+            break;
+        }
+    }
+}
+
+private final boolean requestServiceBindingLocked(ServiceRecord r,
+        IntentBindRecord i, boolean execInFg, boolean rebind) {
+    if (r.app == null || r.app.thread == null) {
+        // If service is not currently running, can't yet bind.
+        return false;
+    }
+    if ((!i.requested || rebind) && i.apps.size() > 0) {
+        try {
+            bumpServiceExecutingLocked(r, execInFg, "bind");
+            r.app.forceProcessStateUpTo(ActivityManager.PROCESS_STATE_SERVICE);
+            r.app.thread.scheduleBindService(r, i.intent.getIntent(), rebind,
+                    r.app.repProcState);
+            if (!rebind) {
+                i.requested = true;
+            }
+            i.hasBound = true;
+            i.doRebind = false;
+        } catch (RemoteException e) {
+            if (DEBUG_SERVICE) Slog.v(TAG, "Crashed while binding " + r);
+            return false;
+        }
+    }
+    return true;
+}
+

调用requestServiceBindingLocked做进一步处理,通过ApplicationThread执行scheduleBindService进入到ActivityThread里面的handleBindService,然后修改IntentBindRecord里面的状态。

+
private void handleBindService(BindServiceData data) {
+    Service s = mServices.get(data.token);
+    if (s != null) {
+        try {
+            /...
+            try {
+                if (!data.rebind) {
+                    IBinder binder = s.onBind(data.intent);
+                    ActivityManagerNative.getDefault().publishService(
+                            data.token, data.intent, binder);
+                } else {
+                    s.onRebind(data.intent);
+                    ActivityManagerNative.getDefault().serviceDoneExecuting(
+                            data.token, SERVICE_DONE_EXECUTING_ANON, 0, 0);
+                }
+                //...
+            } catch (RemoteException ex) {
+            }
+        } catch (Exception e) {
+            //...
+        }
+    }
+}
+

这里就会找到对应的Service,然后调用onBind得到返回的Binder对象,把其传递给ActivityManagerService做处理,就进入到ActivityManagerService里的publishService:

+
public void publishService(IBinder token, Intent intent, IBinder service) {
+     //...
+    synchronized(this) {
+        if (!(token instanceof ServiceRecord)) {
+            throw new IllegalArgumentException("Invalid service token");
+        }
+        mServices.publishServiceLocked((ServiceRecord)token, intent, service);
+    }
+}
+

进一步交给ActiveServices处理,执行publishServiceLocked:

+
void publishServiceLocked(ServiceRecord r, Intent intent, IBinder service) {
+    final long origId = Binder.clearCallingIdentity();
+    try {
+        if (r != null) {
+            Intent.FilterComparison filter
+                    = new Intent.FilterComparison(intent);
+            IntentBindRecord b = r.bindings.get(filter);
+            if (b != null && !b.received) {
+                b.binder = service;
+                b.requested = true;
+                b.received = true;
+                for (int conni=r.connections.size()-1; conni>=0; conni--) {
+                    ArrayList<ConnectionRecord> clist = r.connections.valueAt(conni);
+                    for (int i=0; i<clist.size(); i++) {
+                        ConnectionRecord c = clist.get(i);
+                        if (!filter.equals(c.binding.intent.intent)) {
+                            //...
+                            continue;
+                        }
+                        try {
+                            c.conn.connected(r.name, service);
+                        } catch (Exception e) {
+                           //...
+                        }
+                    }
+                }
+            }
+
+            serviceDoneExecutingLocked(r, mDestroyingServices.contains(r), false);
+        }
+    } finally {
+        Binder.restoreCallingIdentity(origId);
+    }
+}
+

从Service的connections找到刚才存入的ConnectionRecord,然后向绑定服务的客户端发起IPC调用,执行c.conn.connected,第二个参数就是Service执行onBind返回的Binder对象,所以就进入到前面创建对象InnerConnection的connected方法里面:

+
public void connected(ComponentName name, IBinder service) throws RemoteException {
+    LoadedApk.ServiceDispatcher sd = mDispatcher.get();
+    if (sd != null) {
+        sd.connected(name, service);
+    }
+}
+

得到一个ServiceDispatcher对象,继续执行connected方法:

+
public void connected(ComponentName name, IBinder service) {
+    if (mActivityThread != null) {
+        mActivityThread.post(new RunConnection(name, service, 0));
+    } else {
+        doConnected(name, service);
+    }
+}
+

mActivityThread是创建的时候关联的主线程Handler对象,不为空,就往主线程里post了一个Runnable对象,在主线程里面执行,所以后面回调接口onServiceDisconnected/onServiceConnected是在主线程里面执行的。

+
private final class RunConnection implements Runnable {
+    final ComponentName mName;
+    final IBinder mService;
+    final int mCommand;
+
+    RunConnection(ComponentName name, IBinder service, int command) {
+        mName = name;
+        mService = service;
+        mCommand = command;
+    }
+
+    public void run() {
+        if (mCommand == 0) {
+            doConnected(mName, mService);
+        } else if (mCommand == 1) {
+            doDeath(mName, mService);
+        }
+    }
+}
+

前面传进来的mCommand为0,所以执行LoadedApk里面的doConnected方法:

+
public void doConnected(ComponentName name, IBinder service) {
+    ServiceDispatcher.ConnectionInfo old;
+    ServiceDispatcher.ConnectionInfo info;
+
+    synchronized (this) {
+        //...
+        old = mActiveConnections.get(name);
+        //服务已经绑定了并且返回的Binder与之前的一样就直接返回
+        if (old != null && old.binder == service) {
+            return;
+        }
+
+        if (service != null) {
+            // A new service is being connected... set it all up.
+            mDied = false;
+            info = new ConnectionInfo();
+            info.binder = service;
+            info.deathMonitor = new DeathMonitor(name, service);
+            try {
+                service.linkToDeath(info.deathMonitor, 0);
+                mActiveConnections.put(name, info);
+            } catch (RemoteException e) {
+                //...
+            }
+
+        } else {
+            mActiveConnections.remove(name);
+        }
+
+        if (old != null) {
+            old.binder.unlinkToDeath(old.deathMonitor, 0);
+        }
+    }
+
+    if (old != null) {
+        mConnection.onServiceDisconnected(name);
+    }
+
+    if (service != null) {
+        mConnection.onServiceConnected(name, service);
+    }
+}
+

如果原来已经绑定过服务则判断原来的Binder和新的Binder是否一样,如果一样就直接返回。
然后就直接回调前面已经注册的ServiceConnection#onServiceDisconnected。

+

关于bindService的生命周期

service_binding_tree_lifecycle
图片来自官方文档。

+

当所有绑定的客户端都解绑的时候,会执行onUnbind,如果Service没有处于started状态(通过startService的方式启动),就会直接onDestroy,如果处于Started状态,Service会处于Running状态,当再有客户端来绑定的时候,如果onUnbind返回true,则会调用onRebind,否则会调用onBind,当然这两种情况,客户端都能正确得到Service published的Binder对象。

+

unbindService的流程

unbindService的入口也在ContextImpl里:

+
final LoadedApk mPackageInfo;
+
+@Override
+public void unbindService(ServiceConnection conn) {
+    if (conn == null) {
+        throw new IllegalArgumentException("connection is null");
+    }
+    if (mPackageInfo != null) {
+        IServiceConnection sd = mPackageInfo.forgetServiceDispatcher(
+                getOuterContext(), conn);
+        try {
+            ActivityManagerNative.getDefault().unbindService(sd);
+        } catch (RemoteException e) {
+        }
+    } else {
+        throw new RuntimeException("Not supported in system context");
+    }
+}
+
+//------------------------------LoadedApk----------------------------------------
+
+private final ArrayMap<Context, ArrayMap<ServiceConnection, LoadedApk.ServiceDispatcher>> mServices
+        = new ArrayMap<Context, ArrayMap<ServiceConnection, LoadedApk.ServiceDispatcher>>();
+
+public final IServiceConnection forgetServiceDispatcher(Context context,
+        ServiceConnection c) {
+    synchronized (mServices) {
+        ArrayMap<ServiceConnection, LoadedApk.ServiceDispatcher> map
+                = mServices.get(context);
+        LoadedApk.ServiceDispatcher sd = null;
+        if (map != null) {
+            sd = map.get(c);
+            if (sd != null) {
+                map.remove(c);
+                sd.doForget();
+                if (map.size() == 0) {
+                    mServices.remove(context);
+                }
+                //...
+                return sd.getIServiceConnection();
+            }
+        }
+       //...
+    }
+}
+

调用mPackageInfo#forgetServiceDispatcher把客户端绑定时候存储的ServiceConnection移除并返回对应的IServiceConnection对象,利用ActivityManagerProxy向AMS请求unbindService,然后就进入到了ActivityManagerService的unbindService方法中:

+
public boolean unbindService(IServiceConnection connection) {
+    synchronized (this) {
+        return mServices.unbindServiceLocked(connection);
+    }
+}
+

调用ActiveServices做下一步处理:

+
final ArrayMap<IBinder, ArrayList<ConnectionRecord>> mServiceConnections
+            = new ArrayMap<IBinder, ArrayList<ConnectionRecord>>();
+
+boolean unbindServiceLocked(IServiceConnection connection) {
+    IBinder binder = connection.asBinder();
+    ArrayList<ConnectionRecord> clist = mServiceConnections.get(binder);
+    if (clist == null) {
+        return false;
+    }
+
+    final long origId = Binder.clearCallingIdentity();
+    try {
+        while (clist.size() > 0) {
+            ConnectionRecord r = clist.get(0);
+            removeConnectionLocked(r, null, null);
+            if (clist.size() > 0 && clist.get(0) == r) {
+                clist.remove(0);
+            }
+            //...
+        }
+    } finally {
+        Binder.restoreCallingIdentity(origId);
+    }
+
+    return true;
+}
+

mServiceConnections存储着客户端所有的连接,通过IServiceConnection找到绑定服务里面存储的ConnectionRecord,调用removeConnectionLocked进一步处理:

+
void removeConnectionLocked(ConnectionRecord c, ProcessRecord skipApp, ActivityRecord skipAct) {
+    IBinder binder = c.conn.asBinder();
+    AppBindRecord b = c.binding;
+    ServiceRecord s = b.service;
+    ArrayList<ConnectionRecord> clist = s.connections.get(binder);
+    if (clist != null) {
+        clist.remove(c);
+        if (clist.size() == 0) {
+            s.connections.remove(binder);
+        }
+    }
+    b.connections.remove(c);
+    if (c.activity != null && c.activity != skipAct) {
+        if (c.activity.connections != null) {
+            c.activity.connections.remove(c);
+        }
+    }
+    if (b.client != skipApp) {
+        b.client.connections.remove(c);
+        if ((c.flags&Context.BIND_ABOVE_CLIENT) != 0) {
+            b.client.updateHasAboveClientLocked();
+        }
+        if (s.app != null) {
+            updateServiceClientActivitiesLocked(s.app, c, true);
+        }
+    }
+    clist = mServiceConnections.get(binder);
+    if (clist != null) {
+        clist.remove(c);
+        if (clist.size() == 0) {
+            mServiceConnections.remove(binder);
+        }
+    }
+
+    mAm.stopAssociationLocked(b.client.uid, b.client.processName, s.appInfo.uid, s.name);
+
+    if (b.connections.size() == 0) {
+        b.intent.apps.remove(b.client);
+    }
+
+    if (!c.serviceDead) {
+        //所有的绑定的客户端都解绑了
+        if (s.app != null && s.app.thread != null && b.intent.apps.size() == 0&& b.intent.hasBound) {
+            try {
+                bumpServiceExecutingLocked(s, false, "unbind");
+                /...
+                b.intent.hasBound = false;
+                b.intent.doRebind = false;
+                s.app.thread.scheduleUnbindService(s, b.intent.intent.getIntent());
+            } catch (Exception e) {
+               //...
+            }
+        }
+        //如果bindService的flag有BIND_AUTO_CREATE的标志位,bringDownServiceIfNeededLocked里会判断是否还
+        //有其他连接然后销毁Service。
+        if ((c.flags&Context.BIND_AUTO_CREATE) != 0) {
+            boolean hasAutoCreate = s.hasAutoCreateConnections();
+            //...
+            bringDownServiceIfNeededLocked(s, true, hasAutoCreate);
+        }
+    }
+}
+

清理AMS存储的ConnectionBindRecord。当所有绑定的客户端都解绑了就会调用客户端的ApplicationThread#scheduleUnbindService(异步),进入到了ActivityThread里执行handleUnbindService。接着就执行bringDownServiceIfNeededLocked,做Service的销毁工作。先看scheduleUnbindService:

+

ActivityThread:

+
private void handleUnbindService(BindServiceData data) {
+    Service s = mServices.get(data.token);
+    if (s != null) {
+        try {
+            data.intent.setExtrasClassLoader(s.getClassLoader());
+            data.intent.prepareToEnterProcess();
+            boolean doRebind = s.onUnbind(data.intent);
+            try {
+                if (doRebind) {
+                    ActivityManagerNative.getDefault().unbindFinished(
+                            data.token, data.intent, doRebind);
+                } else {
+                    ActivityManagerNative.getDefault().serviceDoneExecuting(
+                            data.token, SERVICE_DONE_EXECUTING_ANON, 0, 0);
+                }
+            } catch (RemoteException ex) {
+            }
+        } catch (Exception e) {
+           //...
+        }
+    }
+}
+

找到Service实例然后执行onUnbind方法,默认返回false,就会执行ActivityManagerProxy#serviceDoneExecuting,进入到AMS的serviceDoneExecuting:

+
public void serviceDoneExecuting(IBinder token, int type, int startId, int res) {
+    synchronized(this) {
+        //...
+        mServices.serviceDoneExecutingLocked((ServiceRecord)token, type, startId, res);
+    }
+}
+

调用ActiveServices#serviceDoneExecutingLocked做处理:

+
void serviceDoneExecutingLocked(ServiceRecord r, int type, int startId, int res) {
+    boolean inDestroying = mDestroyingServices.contains(r);//false
+    if (r != null) {
+        if (type == ActivityThread.SERVICE_DONE_EXECUTING_START) {
+           //...
+        } else if (type == ActivityThread.SERVICE_DONE_EXECUTING_STOP) {
+            if (!inDestroying) {
+                //...
+            } else if (r.executeNesting != 1) {
+                //...
+                r.executeNesting = 1;
+            }
+        }
+        final long origId = Binder.clearCallingIdentity();
+        serviceDoneExecutingLocked(r, inDestroying, inDestroying);
+        Binder.restoreCallingIdentity(origId);
+    } else {
+        //...
+    }
+}
+
+private void serviceDoneExecutingLocked(ServiceRecord r, boolean inDestroying,
+        boolean finishing) {
+    r.executeNesting--;
+    if (r.executeNesting <= 0) {
+        if (r.app != null) {
+            r.app.execServicesFg = false;
+            r.app.executingServices.remove(r);
+            if (r.app.executingServices.size() == 0) {
+                mAm.mHandler.removeMessages(ActivityManagerService.SERVICE_TIMEOUT_MSG, r.app);
+            } else if (r.executeFg) {
+                for (int i=r.app.executingServices.size()-1; i>=0; i--) {
+                    if (r.app.executingServices.valueAt(i).executeFg) {
+                        r.app.execServicesFg = true;
+                        break;
+                    }
+                }
+            }
+            if (inDestroying) {
+                mDestroyingServices.remove(r);
+                r.bindings.clear();
+            }
+        }
+        r.executeFg = false;
+        //...
+        if (finishing) {
+            if (r.app != null && !r.app.persistent) {
+                r.app.services.remove(r);
+            }
+            r.app = null;
+        }
+    }
+}
+

状态的清除工作。

+

再回到bringDownServiceIfNeededLocked里,判断销毁服务的条件(所有客户端解绑并且没有处于Started状态)是否满足,并且不能在即将启动发Service里面,不满足就直接返回。

+
private final void bringDownServiceIfNeededLocked(ServiceRecord r, boolean knowConn,
+        boolean hasConn) {
+    if (isServiceNeeded(r, knowConn, hasConn)) {
+        return;
+    }
+
+    if (mPendingServices.contains(r)) {
+        return;
+    }
+
+    bringDownServiceLocked(r);
+}
+
+private final void bringDownServiceLocked(ServiceRecord r) {
+    for (int conni=r.connections.size()-1; conni>=0; conni--) {
+        ArrayList<ConnectionRecord> c = r.connections.valueAt(conni);
+        for (int i=0; i<c.size(); i++) {
+            ConnectionRecord cr = c.get(i);
+            cr.serviceDead = true;
+            try {
+                cr.conn.connected(r.name, null);
+            } catch (Exception e) {
+             //...
+            }
+        }
+    }
+
+    //...
+
+    if (r.app != null) {
+        r.app.services.remove(r);
+        if (r.app.thread != null) {
+            updateServiceForegroundLocked(r.app, false);
+            try {
+                bumpServiceExecutingLocked(r, false, "destroy");
+                mDestroyingServices.add(r);
+                r.destroying = true;
+                mAm.updateOomAdjLocked(r.app);
+                r.app.thread.scheduleStopService(r);
+            } catch (Exception e) {
+               //...
+            }
+        } else {
+           //...
+        }
+    } else {
+        //...
+    }
+
+  //...
+}
+

回调InnerConnection的connected方法:

+
public void connected(ComponentName name, IBinder service) throws RemoteException {
+    LoadedApk.ServiceDispatcher sd = mDispatcher.get();
+    if (sd != null) {
+        sd.connected(name, service);
+    }
+}
+

这个就和上面回调类似了,由于这个的Binder传递进来的为空,所以就会回调onServiceDisconnected方法。然后有通过Binder调用ApplicationThread的scheduleStopService方法,客户端找到对应Service实例,回调onDestroy方法。

+ + + + + + \ No newline at end of file diff --git a/2016/02/10/art-of-android-development-notes-startservice/index.html b/2016/02/10/art-of-android-development-notes-startservice/index.html index e69de29..4388095 100644 --- a/2016/02/10/art-of-android-development-notes-startservice/index.html +++ b/2016/02/10/art-of-android-development-notes-startservice/index.html @@ -0,0 +1,995 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:startService方式启动Service + + + + +

Android开发艺术探索:四大组件的工作过程之startService方式启动Service

Service计算型组件,用于后台执行一系列计算任务。
启动Service可以在当前进程里面启动,也可以在在新进程里面启动,启动服务的方式有两种startService和bindService。

+

下面分析新进程里startService的这种情况,对应的时序图。主要生命周期为onCreate,onStartCommand,onDestroy:

+

onCreate

startService的入口在ContextImpl里:

+
@Override
+public ComponentName startService(Intent service) {
+    warnIfCallingFromSystemProcess();//系统启动打印日志
+    return startServiceCommon(service, mUser);
+}
+

startServiceCommon里面调用validateServiceIntent方法验证我们的Intent,在Android 5.0以后就不能使用隐式意图来启动Service,如果某些情况下还是需要隐式意图,通过给Intent设置Component或者Package就可以避免抛异常。

+
private ComponentName startServiceCommon(Intent service, UserHandle user) {
+    try {
+        validateServiceIntent(service);//验证Intent
+        ComponentName cn = ActivityManagerNative.getDefault().startService(
+            mMainThread.getApplicationThread(), service,
+            service.resolveTypeIfNeeded(getContentResolver()), user.getIdentifier());
+        //...
+        return cn;
+    } catch (RemoteException e) {
+        return null;
+    }
+}
+
+private void validateServiceIntent(Intent service) {
+    if (service.getComponent() == null && service.getPackage() == null) {
+        if (getApplicationInfo().targetSdkVersion >= Build.VERSION_CODES.LOLLIPOP) {
+            IllegalArgumentException ex = new IllegalArgumentException(
+                    "Service Intent must be explicit: " + service);
+            throw ex;
+        } 
+        //...
+    }
+}
+
+

之后通过ActivityManagerNative.getDefault()获得ActivityManagerProxy,通过ActivityManagerProxy向ActivityManagerService发起IPC调用,第一个参数的ApplicationThread是ActivityThread里面的成员变量。

+
//ActivityManagerProxy.java:
+public ComponentName startService(IApplicationThread caller, Intent service,
+        String resolvedType, int userId) throws RemoteException
+{
+    Parcel data = Parcel.obtain();
+    Parcel reply = Parcel.obtain();
+    data.writeInterfaceToken(IActivityManager.descriptor);
+    data.writeStrongBinder(caller != null ? caller.asBinder() : null);
+    service.writeToParcel(data, 0);
+    data.writeString(resolvedType);
+    data.writeInt(userId);
+    mRemote.transact(START_SERVICE_TRANSACTION, data, reply, 0);
+    reply.readException();
+    ComponentName res = ComponentName.readFromParcel(reply);
+    data.recycle();
+    reply.recycle();
+    return res;
+}
+

然后进入到ActivityManagerService里:

+
//ActivityManagerService.java
+
+final ActiveServices mServices;
+
+@Override
+public ComponentName startService(IApplicationThread caller, Intent service,
+        String resolvedType, int userId) {
+    //...
+    synchronized(this) {
+        final int callingPid = Binder.getCallingPid();
+        final int callingUid = Binder.getCallingUid();
+        final long origId = Binder.clearCallingIdentity();
+        ComponentName res = mServices.startServiceLocked(caller, service,
+                resolvedType, callingPid, callingUid, userId);
+        Binder.restoreCallingIdentity(origId);
+        return res;
+    }
+}
+

ActiveServices用来管理Service,然后调用startServiceLocked:

+
//ActiveServices.java
+ComponentName startServiceLocked(IApplicationThread caller,
+        Intent service, String resolvedType,
+        int callingPid, int callingUid, int userId) {
+   final boolean callerFg;
+    if (caller != null) {//不为空
+        final ProcessRecord callerApp = mAm.getRecordForAppLocked(caller);
+        if (callerApp == null) {
+            throw new SecurityException(
+                    "Unable to find app for caller " + caller
+                    - " (pid=" + Binder.getCallingPid()
+                    - ") when starting service " + service);
+        }
+        callerFg = callerApp.setSchedGroup != Process.THREAD_GROUP_BG_NONINTERACTIVE;//false
+    } else {
+        callerFg = true;
+    }
+    //ServiceRecord表示一个Service实例
+    //PackageManagerService解析出Intent得到要启动的ServiceRecord
+    ServiceLookupResult res =
+        retrieveServiceLocked(service, resolvedType,
+                callingPid, callingUid, userId, true, callerFg);
+    //...
+    ServiceRecord r = res.record;
+    //...
+    r.lastActivity = SystemClock.uptimeMillis();
+    r.startRequested = true;
+    r.delayedStop = false;
+    //ServiceRecord.StartItem表示startService的一次调用,并生成startId,stopService使用
+    r.pendingStarts.add(new ServiceRecord.StartItem(r, false, r.makeNextStartId(),
+            service, neededGrants));
+
+    final ServiceMap smap = getServiceMap(r.userId);
+    boolean addToStarting = false;
+    //ProcessRecord表示一个正在运行的进程实例
+    //新进程里面的ProcessRecord为空
+    if (!callerFg && r.app == null && mAm.mStartedUsers.get(r.userId) != null) {
+        ProcessRecord proc = mAm.getProcessRecordLocked(r.processName, r.appInfo.uid, false);
+        if (proc == null || proc.curProcState > ActivityManager.PROCESS_STATE_RECEIVER) {
+            if (r.delayed) {
+                return r.name;
+            }
+            //超过单用户最大启动Service的数量,延迟启动
+            if (smap.mStartingBackground.size() >= mMaxStartingBackground) {
+                smap.mDelayedStartList.add(r);
+                r.delayed = true;
+                return r.name;
+            }
+            addToStarting = true;
+        } else if (proc.curProcState >= ActivityManager.PROCESS_STATE_SERVICE) {
+            addToStarting = true;
+        } 
+        //...
+
+    return startServiceInnerLocked(smap, service, r, callerFg, addToStarting);
+}
+

ServiceRecord表示一个Service实例,ServiceRecord.StartItem表示startService的一次调用,并生成startId,stopService使用,ServiceMap用来映射userId与之对应的Service,之后调用startServiceInnerLocked,ServiceRecord.startRequested为true,callerFg为false(这里假设是从Activity里面启动),addToStarting为true:

+
ComponentName startServiceInnerLocked(ServiceMap smap, Intent service,
+        ServiceRecord r, boolean callerFg, boolean addToStarting) {
+    //...
+    r.callStart = false;
+    String error = bringUpServiceLocked(r, service.getFlags(), callerFg, false);
+    //...
+    return r.name;
+}
+

之后调用bringUpServiceLocked,callerFg为false:

+
//execInFg为false,whileRestarting为false
+
+private final String bringUpServiceLocked(ServiceRecord r,
+        int intentFlags, boolean execInFg, boolean whileRestarting) {
+    //如果进程已经存在的情况下就不是处理下面的流程,直接处理onStart的流程
+    if (r.app != null && r.app.thread != null) {
+        sendServiceArgsLocked(r, execInFg, false);
+        return null;
+    }
+    //处于restart的状态(在onStartCommand里面处理了服务被杀之后的行为)也不会处理
+    if (!whileRestarting && r.restartDelay > 0) {
+        return null;
+    }
+    if (mRestartingServices.remove(r)) {
+        clearRestartingIfNeededLocked(r);
+    }
+    if (r.delayed) {
+        getServiceMap(r.userId).mDelayedStartList.remove(r);
+        r.delayed = false;
+    }
+    //...
+    final boolean isolated = (r.serviceInfo.flags&ServiceInfo.FLAG_ISOLATED_PROCESS) != 0;
+    final String procName = r.processName;
+    ProcessRecord app;
+    //独立的进程运行isolated为true
+    if (!isolated) {
+        app = mAm.getProcessRecordLocked(procName, r.appInfo.uid, false);
+        if (app != null && app.thread != null) {
+            try {
+                app.addPackage(r.appInfo.packageName, r.appInfo.versionCode, mAm.mProcessStats);
+                //直接启动服务,不用开启新的进程
+                realStartServiceLocked(r, app, execInFg);
+                return null;
+            } catch (RemoteException e) {
+                Slog.w(TAG, "Exception when starting service " + r.shortName, e);
+            }
+        }
+    } else {
+        app = r.isolatedProc;
+    }
+
+    if (app == null) {
+        //开启新的进程
+        if ((app=mAm.startProcessLocked(procName, r.appInfo, true, intentFlags,
+                "service", r.name, false, isolated, false)) == null) {
+            bringDownServiceLocked(r);
+            return msg;
+        }
+        if (isolated) {
+            r.isolatedProc = app;
+        }
+    }
+    //将ServiceRecord加入即将启动mPendingServices列表里,后面进程启动成功后在启动Service
+    if (!mPendingServices.contains(r)) {
+        mPendingServices.add(r);
+    }
+    //...
+
+    return null;
+}
+

如果进程已经存在的情况下就不是处理下面的流程,直接调用realStartServiceLocked处理onStart的流程。
ActivityManagerService.startProcessLocked开启进程,procName为AndroidManifest中Service标签了process指定的进程名,默认是包名。

+
//ActivityManagerService.java
+
+//knownToBeDead为true,hostingType为"service",allowWhileBooting为false
+final ProcessRecord startProcessLocked(String processName,
+        ApplicationInfo info, boolean knownToBeDead, int intentFlags,
+        String hostingType, ComponentName hostingName, boolean allowWhileBooting,
+        boolean isolated, boolean keepIfLarge) {
+    return startProcessLocked(processName, info, knownToBeDead, intentFlags, hostingType,
+            hostingName, allowWhileBooting, isolated, 0 /* isolatedUid */, keepIfLarge,
+            null /* ABI override */, null /* entryPoint */, null /* entryPointArgs */,
+            null /* crashHandler */);
+}
+

接着调用startProcessLocked:

+
 //ActivityManagerService.java
+ final ProcessRecord startProcessLocked(String processName, ApplicationInfo info,
+        boolean knownToBeDead, int intentFlags, String hostingType, ComponentName hostingName,
+        boolean allowWhileBooting, boolean isolated, int isolatedUid, boolean keepIfLarge,
+        String abiOverride, String entryPoint, String[] entryPointArgs, Runnable crashHandler) {
+    ProcessRecord app;
+    if (!isolated) {
+        app = getProcessRecordLocked(processName, info.uid, keepIfLarge);
+    } else {
+        // If this is an isolated process, it can't re-use an existing process.
+        app = null;
+    }
+    //...
+    String hostingNameStr = hostingName != null
+            ? hostingName.flattenToShortString() : null;
+   //...
+   if (app == null) {
+        //构建一个新的的ProcessRecord
+        app = newProcessRecordLocked(info, processName, isolated, isolatedUid);
+        app.crashHandler = crashHandler;
+        mProcessNames.put(processName, app.uid, app);
+        if (isolated) {
+            mIsolatedProcesses.put(app.uid, app);
+        }
+    } 
+    //...
+    startProcessLocked(
+            app, hostingType, hostingNameStr, abiOverride, entryPoint, entryPointArgs);
+    return (app.pid != 0) ? app : null;
+}
+

处理进程已经存在的情况,构建新的ProcessRecord,startProcessLocked开启进程:

+
 private final void startProcessLocked(ProcessRecord app, String hostingType,
+        String hostingNameStr, String abiOverride, String entryPoint, String[] entryPointArgs) {
+    //...
+    try {
+        int uid = app.uid;
+        int[] gids = null;
+        int mountExternal = Zygote.MOUNT_EXTERNAL_NONE;
+        if (!app.isolated) {
+            //...
+        }
+        int debugFlags = 0;
+        //...
+        boolean isActivityProcess = (entryPoint == null);
+        if (entryPoint == null) entryPoint = "android.app.ActivityThread";
+        Process.ProcessStartResult startResult = Process.start(entryPoint,
+                app.processName, uid, uid, gids, debugFlags, mountExternal,
+                app.info.targetSdkVersion, app.info.seinfo, requiredAbi, instructionSet,
+                app.info.dataDir, entryPointArgs);
+        //...
+}
+

调用Process.start开启一个新的进程,新进程的入口点就是android.app.ActivityThread,执行里面的main方法。

+
public final class ActivityThread {
+
+    final ApplicationThread mAppThread = new ApplicationThread();
+
+    public static void main(String[] args) {
+        //...
+        Looper.prepareMainLooper();
+        ActivityThread thread = new ActivityThread();
+        thread.attach(false);
+        if (sMainThreadHandler == null) {
+            sMainThreadHandler = thread.getHandler();
+        }
+        Looper.loop();
+        throw new RuntimeException("Main thread loop unexpectedly exited");
+    }
+
+     private void attach(boolean system) {
+        //...
+        if (!system) {
+            //...
+            final IActivityManager mgr = ActivityManagerNative.getDefault();
+            try {
+                mgr.attachApplication(mAppThread);
+            } catch (RemoteException ex) {
+                // Ignore
+            }
+            //...
+        } 
+    }
+}
+

准备主线程的Looper,调用attachApplication通知ActiviyManangerService主线程准备完毕,然后loop开始消息循环。
ActivityManagerProxy通过IPC向ActivityManagerService调用attachApplication,并传递mAppThread给ActivityManagerService,mAppThread是一个Binder对象,用于ActivityManagerService向我们发起调用。注意从这里开始已经是在新进程里面执行了。

+
class ActivityManagerProxy implements IActivityManager{
+    public void attachApplication(IApplicationThread app) throws RemoteException
+    {
+        Parcel data = Parcel.obtain();
+        Parcel reply = Parcel.obtain();
+        data.writeInterfaceToken(IActivityManager.descriptor);
+        data.writeStrongBinder(app.asBinder());
+        mRemote.transact(ATTACH_APPLICATION_TRANSACTION, data, reply, 0);
+        reply.readException();
+        data.recycle();
+        reply.recycle();
+    }
+}
+

遂进入到ActivityManagerService:

+
@Override
+public final void attachApplication(IApplicationThread thread) {
+    synchronized (this) {
+        int callingPid = Binder.getCallingPid();
+        final long origId = Binder.clearCallingIdentity();
+        attachApplicationLocked(thread, callingPid);
+        Binder.restoreCallingIdentity(origId);
+    }
+}
+
+private final boolean attachApplicationLocked(IApplicationThread thread,
+        int pid) {
+    ProcessRecord app;
+    //MY_PID是ActivityManagerService所在进程的pid
+    if (pid != MY_PID && pid >= 0) {
+        synchronized (mPidsSelfLocked) {
+            app = mPidsSelfLocked.get(pid);
+        }
+    } else {
+        app = null;
+    }
+    //No pending application record for pid,drop this process
+    if (app == null) {
+      //...
+      return false;
+    }
+//...
+    final String processName = app.processName;
+//...
+    app.makeActive(thread, mProcessStats);
+    app.curAdj = app.setAdj = -100;
+    app.curSchedGroup = app.setSchedGroup = Process.THREAD_GROUP_DEFAULT;
+    app.forcingToForeground = null;
+    updateProcessForegroundLocked(app, false, false);
+    app.hasShownUi = false;
+    app.debugging = false;
+    app.cached = false;
+    app.killedByAm = false;
+//...
+    try{
+        thread.bindApplication(processName, appInfo, providers, app.instrumentationClass,
+                profilerInfo, app.instrumentationArguments, app.instrumentationWatcher,
+                app.instrumentationUiAutomationConnection, testMode, enableOpenGlTrace,
+                isRestrictedBackupMode || !normalMode, app.persistent,
+                new Configuration(mConfiguration), app.compat,
+                getCommonServicesLocked(app.isolated),
+                mCoreSettingsObserver.getCoreSettingsLocked());
+        //用lru更新AMS维护的进程列表
+        updateLruProcessLocked(app, false, null);
+        app.lastRequestedGc = app.lastLowMemory = SystemClock.uptimeMillis();
+    } catch (Exception e) {
+        //...
+        return false;
+    }
+    boolean badApp = false;
+    //...
+    // Find any services that should be running in this process...
+    if (!badApp) {
+        try {
+            didSomething |= mServices.attachApplicationLocked(app, processName);
+        } catch (Exception e) {
+            Slog.wtf(TAG, "Exception thrown starting services in " + app, e);
+            badApp = true;
+        }
+    }
+   //...
+    return true;
+}
+
+

使用ApplicationThread发起IPC调用bindApplication:

+
public final void bindApplication(String processName, ApplicationInfo appInfo,
+                List<ProviderInfo> providers, ComponentName instrumentationName,
+                ProfilerInfo profilerInfo, Bundle instrumentationArgs,
+                IInstrumentationWatcher instrumentationWatcher,
+                IUiAutomationConnection instrumentationUiConnection, int debugMode,
+                boolean enableOpenGlTrace, boolean isRestrictedBackupMode, boolean persistent,
+                Configuration config, CompatibilityInfo compatInfo, Map<String, IBinder> services,
+                Bundle coreSettings) {
+
+            //... init
+
+            IPackageManager pm = getPackageManager();
+            android.content.pm.PackageInfo pi = null;
+            try {
+                pi = pm.getPackageInfo(appInfo.packageName, 0, UserHandle.myUserId());
+            } catch (RemoteException e) {
+            }
+            if (pi != null) {
+               //处理sharedUid的情况
+               //...
+            }
+
+            AppBindData data = new AppBindData();
+            data.processName = processName;
+            data.appInfo = appInfo;
+            data.providers = providers;
+            data.instrumentationName = instrumentationName;
+            data.instrumentationArgs = instrumentationArgs;
+            data.instrumentationWatcher = instrumentationWatcher;
+            data.instrumentationUiAutomationConnection = instrumentationUiConnection;
+            data.debugMode = debugMode;
+            data.enableOpenGlTrace = enableOpenGlTrace;
+            data.restrictedBackupMode = isRestrictedBackupMode;
+            data.persistent = persistent;
+            data.config = config;
+            data.compatInfo = compatInfo;
+            data.initProfilerInfo = profilerInfo;
+            sendMessage(H.BIND_APPLICATION, data);
+        }
+
+private void sendMessage(int what, Object obj) {
+        sendMessage(what, obj, 0, 0, false);
+}
+
+final H mH = new H();
+
+private void sendMessage(int what, Object obj, int arg1, int arg2, boolean async) {
+    Message msg = Message.obtain();
+    msg.what = what;
+    msg.obj = obj;
+    msg.arg1 = arg1;
+    msg.arg2 = arg2;
+    if (async) {
+        msg.setAsynchronous(true);
+    }
+    mH.sendMessage(msg);
+}
+

主线程的Looper前面已经在ActivityThread主线程里面初始化了,然后然后向Handler发消息实现进程切换(因为bindApplication是在客户端Binder线程池里面调用的)。

+
  private class H extends Handler {
+     public void handleMessage(Message msg) {
+        //...
+         case BIND_APPLICATION:
+                    AppBindData data = (AppBindData)msg.obj;
+                    handleBindApplication(data);
+                    break;
+     }
+  }
+

接着调用ActivityThread的handleBindApplication,主要是然客户端初始化应用程序的一些状态比如时区地域,Instrumentation,LoadedApk等等。

+
private void handleBindApplication(AppBindData data) {
+    mBoundApplication = data;
+    mConfiguration = new Configuration(data.config);
+    mCompatConfiguration = new Configuration(data.config);
+    //...
+    TimeZone.setDefault(null);
+    //...
+    Locale.setDefault(data.config.locale);
+    //...
+}
+

再回到ActivityManagerService中的attachApplicationLocked,接着调用ActivieServices的attachApplicationLocked通知客户端启动Service:

+
    if (!badApp) {
+        try {
+            didSomething |= mServices.attachApplicationLocked(app, processName);
+        } catch (Exception e) {
+            Slog.wtf(TAG, "Exception thrown starting services in " + app, e);
+            badApp = true;
+        }
+    }
+

mPendingServices就是前面加入列表的ServiceRecord,过滤要启动的ServiceRecord,调用
realStartServiceLocked:

+
boolean attachApplicationLocked(ProcessRecord proc, String processName)
+        throws RemoteException {
+    boolean didSomething = false;
+    // Collect any services that are waiting for this process to come up.
+    if (mPendingServices.size() > 0) {
+        ServiceRecord sr = null;
+        try {
+            for (int i=0; i<mPendingServices.size(); i++) {
+                sr = mPendingServices.get(i);
+                //过滤我们客户端当前的进程
+                if (proc != sr.isolatedProc && (proc.uid != sr.appInfo.uid
+                        || !processName.equals(sr.processName))) {
+                    continue;
+                }
+                mPendingServices.remove(i);
+                i--;
+                proc.addPackage(sr.appInfo.packageName, sr.appInfo.versionCode,
+                        mAm.mProcessStats);
+                realStartServiceLocked(sr, proc, sr.createdFromFg);
+                didSomething = true;
+            }
+        } catch (RemoteException e) {
+            Slog.w(TAG, "Exception in new application when starting service "
+                    - sr.shortName, e);
+            throw e;
+        }
+    }
+
+    if (mRestartingServices.size() > 0) {
+       //处理restart的状态
+       //...
+    }
+    return didSomething;
+}
+

调用ApplicationThread的scheduleCreateService然客户端创建服务,pendingStarts在放入要执行start操作的列表里面,在执行sendServiceArgsLocked告诉客户端执行onStart:

+
private final void realStartServiceLocked(ServiceRecord r,
+        ProcessRecord app, boolean execInFg) throws RemoteException {
+    //..
+    r.app = app;
+    r.restartTime = r.lastActivity = SystemClock.uptimeMillis();
+
+    app.services.add(r);
+    //将Service加入到正在执行的executingServices(ProcessRecord)列表里
+    bumpServiceExecutingLocked(r, execInFg, "create");
+    mAm.updateLruProcessLocked(app, false, null);
+    mAm.updateOomAdjLocked();
+
+    boolean created = false;
+    try {
+        //...
+        app.thread.scheduleCreateService(r, r.serviceInfo,
+                mAm.compatibilityInfoForPackageLocked(r.serviceInfo.applicationInfo),
+                app.repProcState);
+        //前台进程显示Notification
+        r.postNotification();
+        created = true;
+    } catch (DeadObjectException e) {
+      //...
+  }
+
+    // If the service is in the started state, and there are no
+    // pending arguments, then fake up one so its onStartCommand() will
+    // be called.
+    if (r.startRequested && r.callStart && r.pendingStarts.size() == 0) {
+        r.pendingStarts.add(new ServiceRecord.StartItem(r, false, r.makeNextStartId(),
+                null, null));
+    }
+
+    sendServiceArgsLocked(r, execInFg, true);
+    //...
+}
+

先看ApplicationThread的scheduleCreateService,这里对应的token就是ActivityManagerService创建的ServiceRecord,ServiceInfo是ActivityManagerService为我们解析AndroidManifest的Service标签:

+
//ApplicationThread.java
+  public final void scheduleCreateService(IBinder token,
+            ServiceInfo info, CompatibilityInfo compatInfo, int processState) {
+        updateProcessState(processState, false);
+        CreateServiceData s = new CreateServiceData();
+        s.token = token;
+        s.info = info;
+        s.compatInfo = compatInfo;
+
+        sendMessage(H.CREATE_SERVICE, s);
+    }
+

同样是向Handler发送消息实现进程切换:

+
private class H extends Handler {
+    public void handleMessage(Message msg) {
+        //...
+         case CREATE_SERVICE:
+            handleCreateService((CreateServiceData)msg.obj);
+            break;
+        //...
+    }
+}
+

执行ActivityThread的handleCreateService,实现创建服务并执行onCreate,调用ActivityManagerService的serviceDoneExecuting,onCreate更新下Service的一些状态:

+
    private void handleCreateService(CreateServiceData data) {
+        //...
+        //前面已经初始化好的LoadedApk
+        LoadedApk packageInfo = getPackageInfoNoCheck(
+                data.info.applicationInfo, data.compatInfo);
+        Service service = null;
+        try {
+            java.lang.ClassLoader cl = packageInfo.getClassLoader();
+            service = (Service) cl.loadClass(data.info.name).newInstance();
+        } catch (Exception e) {
+            //...
+        }
+
+        try {
+            ContextImpl context = ContextImpl.createAppContext(this, packageInfo);
+            context.setOuterContext(service);
+            //如果新进程没有创建Application则创建
+            Application app = packageInfo.makeApplication(false, mInstrumentation);
+            //初始化Service
+            service.attach(context, this, data.info.name, data.token, app,
+                    ActivityManagerNative.getDefault());
+            service.onCreate();
+            mServices.put(data.token, service);
+            try {
+                ActivityManagerNative.getDefault().serviceDoneExecuting(
+                        data.token, SERVICE_DONE_EXECUTING_ANON, 0, 0);
+            } catch (RemoteException e) {
+                // nothing to do.
+            }
+        } catch (Exception e) {
+           //...
+        }
+    }
+

onStartCommand

再回到上面的ActivieServices的sendServiceArgsLocked告诉客户端要执行onStartCommand,将要执行的onStart的参数(例如startId)传回客户端:

+
private final void sendServiceArgsLocked(ServiceRecord r, boolean execInFg,
+        boolean oomAdjusted) {
+    //...
+    while (r.pendingStarts.size() > 0) {
+        try {
+            ServiceRecord.StartItem si = r.pendingStarts.remove(0);
+            //...
+            si.deliveredTime = SystemClock.uptimeMillis();
+            r.deliveredStarts.add(si);
+            si.deliveryCount++;
+            //更新正在执行的状态
+            bumpServiceExecutingLocked(r, execInFg, "start");
+            int flags = 0;
+            if (si.deliveryCount > 1) {
+                flags |= Service.START_FLAG_RETRY;
+            }
+            if (si.doneExecutingCount > 0) {
+                flags |= Service.START_FLAG_REDELIVERY;
+            }
+            r.app.thread.scheduleServiceArgs(r, si.taskRemoved, si.id, flags, si.intent);
+        } catch (RemoteException e) {
+            //...
+        } 
+    }
+}
+

接着执行ActivityThread里的scheduleServiceArgs:

+
public final void scheduleServiceArgs(IBinder token, boolean taskRemoved, int startId,
+            int flags ,Intent args) {
+            ServiceArgsData s = new ServiceArgsData();
+            s.token = token;
+            s.taskRemoved = taskRemoved;
+            s.startId = startId;
+            s.flags = flags;
+            s.args = args;
+
+            sendMessage(H.SERVICE_ARGS, s);
+        }
+

同样发送消息给主线程执行handleServiceArgs,mServices为客户端维护的Service列表:

+
private void handleServiceArgs(ServiceArgsData data) {
+    Service s = mServices.get(data.token);
+    if (s != null) {
+        try {
+            if (data.args != null) {
+                data.args.setExtrasClassLoader(s.getClassLoader());
+                data.args.prepareToEnterProcess();
+            }
+            int res;
+            if (!data.taskRemoved) {
+                res = s.onStartCommand(data.args, data.flags, data.startId);
+            } else {
+                s.onTaskRemoved(data.args);
+                res = Service.START_TASK_REMOVED_COMPLETE;
+            }
+            //...
+            try {
+                ActivityManagerNative.getDefault().serviceDoneExecuting(
+                        data.token, SERVICE_DONE_EXECUTING_START, data.startId, res);
+            } catch (RemoteException e) {
+                // nothing to do.
+            }
+            ensureJitEnabled();
+        } catch (Exception e) {
+            ///...
+        }
+    }
+}
+

onStartCommand执行完后会返回一个参数,用于控制Service的一些行为,例如进程被杀死之后Service的行为。
随后调用serviceDoneExecuting告诉ActivityManagerService,onStart已经执行完了,ActivityManagerService再更新一些状态。

+

就这样Service就运行起来了。

+

onDestroy

停止服务有两种方式,一种是在程序外面通过ContextImpl的接口,stopService来停止,另一种是在Service里面调用stop来停止。

+

通过ContextImpl接口:

+
class ContextImpl extends Context { 
+    @Override
+    public boolean stopService(Intent service) {
+        warnIfCallingFromSystemProcess();
+        return stopServiceCommon(service, mUser);
+    }
+
+    private boolean stopServiceCommon(Intent service, UserHandle user) {
+        try {
+            validateServiceIntent(service);//系统进程调用打印日志
+            service.prepareToLeaveProcess();
+            int res = ActivityManagerNative.getDefault().stopService(
+                mMainThread.getApplicationThread(), service,
+                service.resolveTypeIfNeeded(getContentResolver()), user.getIdentifier());
+            //...
+            return res != 0;
+        } catch (RemoteException e) {
+            return false;
+        }
+    }   
+}
+

接着向ActivityManagerService发起IPC调用,进入ActivityManagerService里面的stopService:

+
@Override
+public int stopService(IApplicationThread caller, Intent service,
+        String resolvedType, int userId) {
+    //...
+    synchronized(this) {
+        return mServices.stopServiceLocked(caller, service, resolvedType, userId);
+    }
+}
+

接着调用ActivieServices的stopServiceLocked方法:

+
int stopServiceLocked(IApplicationThread caller, Intent service,
+        String resolvedType, int userId) {
+    //...
+
+    //找到正在运行的ServiceRecord
+    // If this service is active, make sure it is stopped.
+    ServiceLookupResult r = retrieveServiceLocked(service, resolvedType,
+            Binder.getCallingPid(), Binder.getCallingUid(), userId, false, false);
+    if (r != null) {
+        if (r.record != null) {
+            final long origId = Binder.clearCallingIdentity();
+            try {
+                stopServiceLocked(r.record);
+            } finally {
+                Binder.restoreCallingIdentity(origId);
+            }
+            return 1;
+        }
+        return -1;
+    }
+    return 0;
+}
+

找到正在运行的ServiceRecord,调用stopServiceLocked进行下一步操作:

+
private void stopServiceLocked(ServiceRecord service) {
+    //...
+    service.startRequested = false;
+    service.callStart = false;
+    bringDownServiceIfNeededLocked(service, false, false);
+}
+
+private final void bringDownServiceIfNeededLocked(ServiceRecord r, boolean knowConn,
+    boolean hasConn) {
+//如果判断服务处于被绑定的状态,则不会停止服务
+if (isServiceNeeded(r, knowConn, hasConn)) {
+    return;
+}
+// Are we in the process of launching?
+if (mPendingServices.contains(r)) {
+    return;
+}
+bringDownServiceLocked(r);
+}
+

如果服务有绑定的客户端,或者即将启动的服务里面包含了要停止的服务,则直接返回,否则调用bringDownServiceLocked进行下一步处理:

+
private final void bringDownServiceLocked(ServiceRecord r) {
+    // Report to all of the connections that the service is no longer
+    // available.
+    for (int conni=r.connections.size()-1; conni>=0; conni--) {
+       //...
+    }
+
+    // Tell the service that it has been unbound.
+    if (r.app != null && r.app.thread != null) {
+        for (int i=r.bindings.size()-1; i>=0; i--) {
+           //...
+            r.app.thread.scheduleUnbindService(r,
+                                ibr.intent.getIntent());
+           //...
+        }
+    }
+    r.destroyTime = SystemClock.uptimeMillis();
+
+    final ServiceMap smap = getServiceMap(r.userId);
+    smap.mServicesByName.remove(r.name);
+    smap.mServicesByIntent.remove(r.intent);
+    r.totalRestartCount = 0;
+    unscheduleServiceRestartLocked(r, 0, true);
+
+    // Also make sure it is not on the pending list.
+    for (int i=mPendingServices.size()-1; i>=0; i--) {
+        if (mPendingServices.get(i) == r) {
+            mPendingServices.remove(i);
+        }
+    }
+
+    r.cancelNotification();
+    r.isForeground = false;
+    r.foregroundId = 0;
+    r.foregroundNoti = null;
+
+    // Clear start entries.
+    r.clearDeliveredStartsLocked();
+    r.pendingStarts.clear();
+
+    if (r.app != null) {
+        r.app.services.remove(r);
+        if (r.app.thread != null) {
+            updateServiceForegroundLocked(r.app, false);
+            try {
+                bumpServiceExecutingLocked(r, false, "destroy");
+                mDestroyingServices.add(r);
+                r.destroying = true;
+                r.app.thread.scheduleStopService(r);
+            } catch (Exception e) {
+               //...
+            }
+        }
+    }
+    //...
+}
+

由于没有绑定服务,则不会执行服务解绑scheduleUnbindService的操作。这一步主要就是更新ServiceRecord的一些状态,将ServiceRecord加入mDestroyingServices里后面用到,然后调用客户端的ApplicationThread#scheduleStopService,这里的token为对应的ServiceRecord:

+
 private class ApplicationThread extends ApplicationThreadNative {
+    public final void scheduleStopService(IBinder token) {
+        sendMessage(H.STOP_SERVICE, token);
+    }
+ }
+

同样向Handler发送消息切换进程执行AcitivtyThread#handleStopService:

+
private void handleStopService(IBinder token) {
+    Service s = mServices.remove(token);
+    if (s != null) {
+        try {
+            s.onDestroy();
+            Context context = s.getBaseContext();
+            if (context instanceof ContextImpl) {
+                final String who = s.getClassName();
+                //清除掉使用这个Context创建的资源,比如注册的广播,绑定的服务(直接抛异常)
+                ((ContextImpl) context).scheduleFinalCleanup(who, "Service");
+            }
+            try {
+                ActivityManagerNative.getDefault().serviceDoneExecuting(
+                        token, SERVICE_DONE_EXECUTING_STOP, 0, 0);
+            } catch (RemoteException e) {
+               //...
+            }
+        } catch (Exception e) {
+           //...
+        }
+    } 
+    //...
+}
+

首先从客户端保存的mServices里面取出对应的Service实例,调用onDestroy,之后调用scheduleFinalCleanup清除掉使用这个Context创建的资源,比如注册的广播,绑定的服务。之后调用ActivityManagerProxy#serviceDoneExecuting,告诉ActivityManagerService已经结束执行完onDestroy。然后就进入到ActivityManagerService#serviceDoneExecuting:

+
public void serviceDoneExecuting(IBinder token, int type, int startId, int res) {
+    synchronized(this) {
+       //...验证token是否是ServiceRecord
+        mServices.serviceDoneExecutingLocked((ServiceRecord)token, type, startId, res);
+    }
+}
+

接着执行ActiveServices#serviceDoneExecutingLocked进行下一步操作:

+
void serviceDoneExecutingLocked(ServiceRecord r, int type, int startId, int res) {
+    boolean inDestroying = mDestroyingServices.contains(r);
+    if (r != null) {
+        if (type == ActivityThread.SERVICE_DONE_EXECUTING_START) {
+           //...
+        } else if (type == ActivityThread.SERVICE_DONE_EXECUTING_STOP) {
+            if (!inDestroying) {
+               //...貌似没有做什么操作
+            } else if (r.executeNesting != 1) {
+               //..
+                r.executeNesting = 1;
+            }
+        }
+        final long origId = Binder.clearCallingIdentity();
+        //这里的isDestroying为true
+        serviceDoneExecutingLocked(r, inDestroying, inDestroying);
+        Binder.restoreCallingIdentity(origId);
+    } //...
+}
+

最后执行serviceDoneExecutingLocked,做Service的收尾工作,例如清除ServiceRecord持有的IntentBindRecord,从ProcessRecord里面清除ServiceRecord等。

+

另外一种方式就是在Service里面stop:

+
public abstract class Service extends ContextWrapper implements ComponentCallbacks2 {
+
+    private IActivityManager mActivityManager;
+
+    public final void stopSelf() {
+        stopSelf(-1);
+    }
+
+    public final void stopSelf(int startId) {
+        if (mActivityManager == null) {
+            return;
+        }
+        try {
+            mActivityManager.stopServiceToken(
+                    new ComponentName(this, mClassName), mToken, startId);
+        } catch (RemoteException ex) {
+        }
+    }
+}
+

mActivityManager就为Service启动过程中,调用attach初始化的ActivityManagerProxy,所以就通过Binder调用ActivityManagerService的stopServiceToken:

+
@Override
+public boolean stopServiceToken(ComponentName className, IBinder token,
+        int startId) {
+    synchronized(this) {
+        return mServices.stopServiceTokenLocked(className, token, startId);
+    }
+}
+

继续调用ActivieServices#stopServiceTokenLocked:

+
boolean stopServiceTokenLocked(ComponentName className, IBinder token,
+        int startId) {
+    ServiceRecord r = findServiceLocked(className, token, UserHandle.getCallingUserId());
+    if (r != null) {
+        //startId小于零就直接结束
+        if (startId >= 0) {
+            //找到执行过的StartItem
+            ServiceRecord.StartItem si = r.findDeliveredStart(startId, false);
+            if (si != null) {
+                while (r.deliveredStarts.size() > 0) {
+                    ServiceRecord.StartItem cur = r.deliveredStarts.remove(0);
+                    cur.removeUriPermissionsLocked();
+                    if (cur == si) {
+                        break;
+                    }
+                }
+            }
+
+            //如果最后一次启动的startId不等于传进来的startId则不结束Service
+            if (r.getLastStartId() != startId) {
+                return false;
+            }
+            //...
+        }
+
+        r.startRequested = false;
+        //...
+        r.callStart = false;
+        final long origId = Binder.clearCallingIdentity();
+        bringDownServiceIfNeededLocked(r, false, false);
+        Binder.restoreCallingIdentity(origId);
+        return true;
+    }
+    return false;
+}
+

如果传进来的startId不等于最后一次启动的startId则不会销毁Service,IntentService就是利用了这个特性来实现顺序执行任务。
如果startId小于零则直接调用bringDownServiceIfNeededLocked,就和上面在Service外面stopService流程一样了。

+ + + + + + \ No newline at end of file diff --git a/2016/02/17/art-of-android-development-notes-registereceiver/index.html b/2016/02/17/art-of-android-development-notes-registereceiver/index.html index e69de29..852187e 100644 --- a/2016/02/17/art-of-android-development-notes-registereceiver/index.html +++ b/2016/02/17/art-of-android-development-notes-registereceiver/index.html @@ -0,0 +1,398 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:registerReceiver注册广播 + + + + +

Android开发艺术探索:四大组件的工作过程之registerReceiver注册广播

BroadcastReceiver消息型组件,用于不同组件之间或应用之间传递消息。消息订阅不同于观察者模式,观察者模式耦合性太强,消息订阅模式中发布消息者完全不需要知道订阅者的存在,所以就需要第三方的组件来帮助存储转发,这个组件就是ActivityManagerService。

+

注册广播流程

注册广播的入口ContextImpl,对应的时序图

+
//两个重载的方法:
+
+@Override
+public Intent registerReceiver(BroadcastReceiver receiver, IntentFilter filter) {
+    return registerReceiver(receiver, filter, null, null);
+}
+
+@Override
+public Intent registerReceiver(BroadcastReceiver receiver, IntentFilter filter,
+        String broadcastPermission, Handler scheduler) {
+    return registerReceiverInternal(receiver, getUserId(),
+            filter, broadcastPermission, scheduler, getOuterContext());
+}
+
+

broadcastPermission广播者需要有相应的权限才接收(权限当然在Manifest声明),scheduler表示收到广播处理消息的Handler,默认是在主线程ActivityThread里执行的,所以不能有耗时的操作。

+
private Intent registerReceiverInternal(BroadcastReceiver receiver, int userId,
+        IntentFilter filter, String broadcastPermission,
+        Handler scheduler, Context context) {
+    IIntentReceiver rd = null;
+    if (receiver != null) {
+        if (mPackageInfo != null && context != null) {
+            if (scheduler == null) {
+                scheduler = mMainThread.getHandler();
+            }
+            rd = mPackageInfo.getReceiverDispatcher(
+                receiver, context, scheduler,
+                mMainThread.getInstrumentation(), true);
+        } else {
+            //..
+        }
+    }
+    try {
+        return ActivityManagerNative.getDefault().registerReceiver(
+                mMainThread.getApplicationThread(), mBasePackageName,
+                rd, filter, broadcastPermission, userId);
+    } catch (RemoteException e) {
+        return null;
+    }
+}
+

mPackageInfo是LoadedApk的类型,调用getReceiverDispatcher得到IItentReceiver,用于收到广播后服务端回调performReceive方法,并将注册广播的信息放到LoadedApk的mReceivers集合里,ReceiverDispatcher内部保存了BroadcastReceiver和InnerReceiver,当接收到广播时,ReceiverDispatcher可以方便地调用BroadcastReceiver#onReceive。

+
//一个Context对应一个注册的广播集合,重复注册只接收一次,不同的Context注册相同的广播每个注册的Context会收到广播
+private final ArrayMap<Context, ArrayMap<BroadcastReceiver, ReceiverDispatcher>> mReceivers
+    = new ArrayMap<Context, ArrayMap<BroadcastReceiver, LoadedApk.ReceiverDispatcher>>();
+
+//registered为传递过来的true
+public IIntentReceiver getReceiverDispatcher(BroadcastReceiver r,
+        Context context, Handler handler,
+        Instrumentation instrumentation, boolean registered) {
+    synchronized (mReceivers) {
+        LoadedApk.ReceiverDispatcher rd = null;
+        ArrayMap<BroadcastReceiver, LoadedApk.ReceiverDispatcher> map = null;
+        //...
+        if (rd == null) {
+            rd = new ReceiverDispatcher(r, context, handler,
+                    instrumentation, registered);
+            if (registered) {
+                if (map == null) {
+                    map = new ArrayMap<BroadcastReceiver, LoadedApk.ReceiverDispatcher>();
+                    mReceivers.put(context, map);
+                }
+                map.put(r, rd);
+            }
+        } else {
+            //...
+        }
+        rd.mForgotten = false;
+        return rd.getIIntentReceiver();
+    }
+}
+

然后通过ActivityManagerNative.getDefault()获得ActivityManagerProxy向AMS发起IPC,调用registerReceiver方法:

+
public Intent registerReceiver(IApplicationThread caller, String packageName,
+        IIntentReceiver receiver,
+        IntentFilter filter, String perm, int userId) throws RemoteException
+{
+    Parcel data = Parcel.obtain();
+    Parcel reply = Parcel.obtain();
+    data.writeInterfaceToken(IActivityManager.descriptor);
+    data.writeStrongBinder(caller != null ? caller.asBinder() : null);
+    data.writeString(packageName);
+    data.writeStrongBinder(receiver != null ? receiver.asBinder() : null);
+    filter.writeToParcel(data, 0);
+    data.writeString(perm);
+    data.writeInt(userId);
+    mRemote.transact(REGISTER_RECEIVER_TRANSACTION, data, reply, 0);
+    reply.readException();
+    Intent intent = null;
+    int haveIntent = reply.readInt();
+    if (haveIntent != 0) {
+        intent = Intent.CREATOR.createFromParcel(reply);
+    }
+    reply.recycle();
+    data.recycle();
+    return intent;
+}
+

然后就执行到了AMS的registerReceiver方法:

+
//为了更快地查找,这里使用的就不是ArrayMap了
+final HashMap<IBinder, ReceiverList> mRegisteredReceivers =
+        new HashMap<IBinder, ReceiverList>();
+
+public Intent registerReceiver(IApplicationThread caller, String callerPackage,
+        IIntentReceiver receiver, IntentFilter filter, String permission, int userId) {
+    //...
+    int callingUid;
+    int callingPid;
+    synchronized(this) {
+        ProcessRecord callerApp = null;
+        if (caller != null) {
+            callerApp = getRecordForAppLocked(caller);
+            if (callerApp == null) {
+               //...throw exception
+            }
+            //如果调用进程没有运行
+            if (callerApp.info.uid != Process.SYSTEM_UID &&
+                    !callerApp.pkgList.containsKey(callerPackage) &&
+                    !"android".equals(callerPackage)) {
+               //...throw exception
+            }
+            callingUid = callerApp.info.uid;
+            callingPid = callerApp.pid;
+        } else {
+            //...
+        }
+
+        userId = this.handleIncomingUser(callingPid, callingUid, userId,
+                true, ALLOW_FULL_ONLY, "registerReceiver", callerPackage);
+
+        List allSticky = null;
+
+        Iterator actions = filter.actionsIterator();
+        if (actions != null) {
+            while (actions.hasNext()) {
+                String action = (String)actions.next();
+                allSticky = getStickiesLocked(action, filter, allSticky,
+                        UserHandle.USER_ALL);
+                allSticky = getStickiesLocked(action, filter, allSticky,
+                        UserHandle.getUserId(callingUid));
+            }
+        } else {
+          //...
+        }
+
+        // The first sticky in the list is returned directly back to
+        // the client.
+        Intent sticky = allSticky != null ? (Intent)allSticky.get(0) : null;
+        //直接返回sticky的结果
+        if (receiver == null) {
+            return sticky;
+        }
+
+        ReceiverList rl
+            = (ReceiverList)mRegisteredReceivers.get(receiver.asBinder());
+        if (rl == null) {
+            rl = new ReceiverList(this, callerApp, callingPid, callingUid,
+                    userId, receiver);
+            if (rl.app != null) {
+                rl.app.receivers.add(rl);
+            } else {
+                try {
+                    receiver.asBinder().linkToDeath(rl, 0);
+                } catch (RemoteException e) {
+                    return sticky;
+                }
+                rl.linkedToDeath = true;
+            }
+            mRegisteredReceivers.put(receiver.asBinder(), rl);
+        } else if (rl.uid != callingUid) {
+            //...   
+        }
+        BroadcastFilter bf = new BroadcastFilter(filter, rl, callerPackage,
+                permission, callingUid, userId);
+        rl.add(bf);
+        //..
+        mReceiverResolver.addFilter(bf);
+
+        // Enqueue broadcasts for all existing stickies that match
+        // this filter.
+        if (allSticky != null) {
+           //...
+        }
+
+        return sticky;
+    }
+}
+
+final SparseArray<ArrayMap<String, ArrayList<Intent>>> mStickyBroadcasts =
+            new SparseArray<ArrayMap<String, ArrayList<Intent>>>();
+
+private final List getStickiesLocked(String action, IntentFilter filter,
+        List cur, int userId) {
+    final ContentResolver resolver = mContext.getContentResolver();
+    ArrayMap<String, ArrayList<Intent>> stickies = mStickyBroadcasts.get(userId);
+    if (stickies == null) {
+        return cur;
+    }
+    final ArrayList<Intent> list = stickies.get(action);
+    if (list == null) {
+        return cur;
+    }
+    int N = list.size();
+    for (int i=0; i<N; i++) {
+        Intent intent = list.get(i);
+        if (filter.match(resolver, intent, true, TAG) >= 0) {
+            if (cur == null) {
+                cur = new ArrayList<Intent>();
+            }
+            cur.add(intent);
+        }
+    }
+    return cur;
+}
+

当我们发送sticky广播的时候,AMS会把其保存在mStickyBroadcasts集合里,如果能在里面匹配到对应的action,就会把Intent寻找出来并返回,如果只想获取结果而不想注册广播可以将BroadcastReceiver传递为null。

+

mRegisteredReceivers用于保存IIntentReceiver与注册广播的对应关系,用于使用IIntentReceiver快速找到注册的广播ReceiverList(里面存储多个BroadcastFilter),例如反注册广播。所以一个广播可以接收到多个不同action的广播。

+

mReceiverResolver用于保存注册的所有广播(BroadcastFilter),用于发送广播快速找到注册的IIntentReceiver,进行分发。

+

反注册广播流程

入口同样是在ContextImpl

+
@Override
+public void unregisterReceiver(BroadcastReceiver receiver) {
+    if (mPackageInfo != null) {
+        IIntentReceiver rd = mPackageInfo.forgetReceiverDispatcher(
+                getOuterContext(), receiver);
+        try {
+            ActivityManagerNative.getDefault().unregisterReceiver(rd);
+        } catch (RemoteException e) {
+        }
+    } else {
+        //...
+    }
+}
+

调用mPackageInfo#forgetReceiverDispatcher移除mReceiver里面注册过的广播。

+
//LoadedApk.java
+public IIntentReceiver forgetReceiverDispatcher(Context context,
+        BroadcastReceiver r) {
+    synchronized (mReceivers) {
+        //找到Context注册的广播集合
+        ArrayMap<BroadcastReceiver, LoadedApk.ReceiverDispatcher> map = mReceivers.get(context);
+        LoadedApk.ReceiverDispatcher rd = null;
+        if (map != null) {
+            rd = map.get(r);
+            if (rd != null) {
+                map.remove(r);
+                if (map.size() == 0) {
+                    mReceivers.remove(context);
+                }
+                if (r.getDebugUnregister()) {
+                   //...调试使用的
+                }
+                rd.mForgotten = true;
+                return rd.getIIntentReceiver();
+            }
+        }
+
+        //...
+
+        if (context == null) {
+            throw new IllegalStateException("Unbinding Receiver " + r
+                    - " from Context that is no longer in use: " + context);
+        } else {
+            throw new IllegalArgumentException("Receiver not registered: " + r);
+        }
+
+    }
+}
+

从mReceivers找到注册广播的集合(没找到就抛异常),移除已经注册的BroadcastRecevier,并返回对应的IIntentReceiver,用于AMS反注册。

+

接着通过ActivityManagerNative.getDefault()得到ActivityManagerProxy,向AMS发起IPC调用:

+
//ActivityManagerProxy
+public void unregisterReceiver(IIntentReceiver receiver) throws RemoteException
+{
+    Parcel data = Parcel.obtain();
+    Parcel reply = Parcel.obtain();
+    data.writeInterfaceToken(IActivityManager.descriptor);
+    data.writeStrongBinder(receiver.asBinder());
+    mRemote.transact(UNREGISTER_RECEIVER_TRANSACTION, data, reply, 0);
+    reply.readException();
+    data.recycle();
+    reply.recycle();
+}
+

进入到AMS的unregisterReceiver:

+
public void unregisterReceiver(IIntentReceiver receiver) {
+    final long origId = Binder.clearCallingIdentity();
+    try {
+        boolean doTrim = false;
+
+        synchronized(this) {
+            ReceiverList rl = mRegisteredReceivers.get(receiver.asBinder());
+            if (rl != null) {
+                if (rl.curBroadcast != null) {
+                  //...
+                }
+
+                if (rl.app != null) {
+                    rl.app.receivers.remove(rl);
+                }
+                removeReceiverLocked(rl);
+                if (rl.linkedToDeath) {
+                    rl.linkedToDeath = false;
+                    rl.receiver.asBinder().unlinkToDeath(rl, 0);
+                }
+            }
+        }
+
+        // If we actually concluded any broadcasts, we might now be able
+        // to trim the recipients' apps from our working set
+        if (doTrim) {
+            trimApplications();
+            return;
+        }
+
+    } finally {
+        Binder.restoreCallingIdentity(origId);
+    }
+}
+
+void removeReceiverLocked(ReceiverList rl) {
+    mRegisteredReceivers.remove(rl.receiver.asBinder());
+    int N = rl.size();
+    for (int i=0; i<N; i++) {
+        mReceiverResolver.removeFilter(rl.get(i));
+    }
+}
+

将注册的IIntentReceiver和BroadcastFilter(只移除对应IIntentReceiver注册的)移除。

+ + + + + + \ No newline at end of file diff --git a/2016/02/18/art-of-android-development-notes-sendbroadcast/index.html b/2016/02/18/art-of-android-development-notes-sendbroadcast/index.html index e69de29..fd80fd9 100644 --- a/2016/02/18/art-of-android-development-notes-sendbroadcast/index.html +++ b/2016/02/18/art-of-android-development-notes-sendbroadcast/index.html @@ -0,0 +1,649 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:发送广播 + + + + +

Android开发艺术探索:四大组件的工作过程之发送广播

发送广播分为普通广播,有序广播,Sticky广播,AMS会根据广播类型做相应的处理。

+

sendBroadcast

发送普通广播的入口在ContextImpl:

+
@Override
+public void sendBroadcast(Intent intent) {
+    warnIfCallingFromSystemProcess();//系统进程调用打印日志
+    String resolvedType = intent.resolveTypeIfNeeded(getContentResolver());
+    try {
+        intent.prepareToLeaveProcess();
+        ActivityManagerNative.getDefault().broadcastIntent(
+            mMainThread.getApplicationThread(), intent, resolvedType, null,
+            Activity.RESULT_OK, null, null, null, AppOpsManager.OP_NONE, false, false,
+            getUserId());
+    } catch (RemoteException e) {
+    }
+}
+

几乎啥事没做直接调用ActivityManagerNative.getDefault()得到ActivityManagerProxy,向AMS发起IPC调用broadcastIntent,下面注释为上面参数调用的值:

+
public int broadcastIntent(IApplicationThread caller,
+        Intent intent, String resolvedType,  IIntentReceiver resultTo/*null*/,
+        int resultCode/*Activity.RESULT_OK*/, String resultData/*null*/, Bundle map/*null*/,
+        String requiredPermission/*null*/, int appOp/*AppOpsManager.OP_NONE*/, boolean serialized/*false*/,
+        boolean sticky/*false*/, int userId) throws RemoteException
+{
+    Parcel data = Parcel.obtain();
+    Parcel reply = Parcel.obtain();
+    data.writeInterfaceToken(IActivityManager.descriptor);
+    data.writeStrongBinder(caller != null ? caller.asBinder() : null);
+    intent.writeToParcel(data, 0);
+    data.writeString(resolvedType);
+    data.writeStrongBinder(resultTo != null ? resultTo.asBinder() : null);
+    data.writeInt(resultCode);
+    data.writeString(resultData);
+    data.writeBundle(map);
+    data.writeString(requiredPermission);
+    data.writeInt(appOp);
+    data.writeInt(serialized ? 1 : 0);
+    data.writeInt(sticky ? 1 : 0);
+    data.writeInt(userId);
+    mRemote.transact(BROADCAST_INTENT_TRANSACTION, data, reply, 0);
+    reply.readException();
+    int res = reply.readInt();
+    reply.recycle();
+    data.recycle();
+    return res;
+}
+

然后进入到ActivityManagerService#broadcastIntent:

+
public final int broadcastIntent(IApplicationThread caller,
+        Intent intent, String resolvedType,  IIntentReceiver resultTo/*null*/,
+        int resultCode/*Activity.RESULT_OK*/, String resultData/*null*/, Bundle map/*null*/,
+        String requiredPermission/*null*/, int appOp/*AppOpsManager.OP_NONE*/, boolean serialized/*false*/,
+        boolean sticky/*false*/, int userId) {
+    synchronized(this) {
+        intent = verifyBroadcastLocked(intent);
+
+        final ProcessRecord callerApp = getRecordForAppLocked(caller);
+        final int callingPid = Binder.getCallingPid();
+        final int callingUid = Binder.getCallingUid();
+        final long origId = Binder.clearCallingIdentity();
+        int res = broadcastIntentLocked(callerApp,
+                callerApp != null ? callerApp.info.packageName : null,
+                intent, resolvedType, resultTo,
+                resultCode, resultData, map, requiredPermission, appOp, serialized, sticky,
+                callingPid, callingUid, userId);
+        Binder.restoreCallingIdentity(origId);
+        return res;
+    }
+}
+

获取调用进程pid和uid,切换调用发送广播为AMS当前进程pid,调用broadcastIntentLocked进行处理:

+
private final int broadcastIntentLocked(ProcessRecord callerApp,
+        String callerPackage, Intent intent, String resolvedType,
+        IIntentReceiver resultTo, int resultCode, String resultData,
+        Bundle map, String requiredPermission, int appOp,
+        boolean ordered, boolean sticky, int callingPid, int callingUid,
+        int userId) {
+    intent = new Intent(intent);
+
+    // By default broadcasts do not go to stopped apps.
+    //广播不向处于Stopped状态的App发送广播
+    intent.addFlags(Intent.FLAG_EXCLUDE_STOPPED_PACKAGES);
+
+    userId = handleIncomingUser(callingPid, callingUid, userId,
+            true, ALLOW_NON_FULL, "broadcast", callerPackage);
+
+    //...
+
+    int callingAppId = UserHandle.getAppId(callingUid);
+    if (callingAppId == Process.SYSTEM_UID || callingAppId == Process.PHONE_UID
+        || callingAppId == Process.SHELL_UID || callingAppId == Process.BLUETOOTH_UID
+        || callingAppId == Process.NFC_UID || callingUid == 0) {
+        //系统应用可以发送任何广播
+    } else if (callerApp == null || !callerApp.persistent) {
+       //...是否发送的是系统广播则抛异常,应该不会影响AMS进程吧?
+       if (AppGlobals.getPackageManager().isProtectedBroadcast(
+                        intent.getAction())) {
+                    String msg = "Permission Denial: not allowed to send broadcast "
+                            + intent.getAction() + " from pid="
+                            + callingPid + ", uid=" + callingUid;
+                    Slog.w(TAG, msg);
+                    throw new SecurityException(msg);
+          }else if (AppWidgetManager.ACTION_APPWIDGET_CONFIGURE.equals(intent.getAction())) {
+              //...
+          }
+    }
+
+    final String action = intent.getAction();
+    if (action != null) {
+        switch (action) {
+            //检查某些广播action的权限,比如BROADCAST_PACKAGE_REMOVED
+            //某些广播的特殊处理,比如package remove,进程状态的处理
+    }
+
+    //sticky广播的处理
+    if (sticky) {
+        //...
+    }
+
+    //处理多用户下接受广播的userId
+    int[] users;
+    if (userId == UserHandle.USER_ALL) {
+        // Caller wants broadcast to go to all started users.
+        users = mStartedUserArray;
+    } else {
+        // Caller wants broadcast to go to one specific user.
+        users = new int[] {userId};
+    }
+
+    List receivers = null;//静态注册的广播,从PackagerManagerService里面解析处理的
+    List<BroadcastFilter> registeredReceivers = null;//动态注册的广播,从mReceiverResolver里面取出来的
+
+    //如果设置了这个表示位那么只有动态注册的广播才能接收到
+    if ((intent.getFlags()&Intent.FLAG_RECEIVER_REGISTERED_ONLY) == 0) {
+        receivers = collectReceiverComponents(intent, resolvedType, callingUid, users);
+    }
+    if (intent.getComponent() == null) {
+        if (userId == UserHandle.USER_ALL && callingUid == Process.SHELL_UID) {
+            //...
+        } else {
+            registeredReceivers = mReceiverResolver.queryIntent(intent,
+                    resolvedType, false, userId);
+        }
+    }
+
+    //如果设置了这个标志位,那么将会替换队列里面还没有发出去的广播
+    final boolean replacePending = (intent.getFlags()&Intent.FLAG_RECEIVER_REPLACE_PENDING) != 0;
+
+    int NR = registeredReceivers != null ? registeredReceivers.size() : 0;
+    //普通广播处理
+    if (!ordered && NR > 0) {
+        final BroadcastQueue queue = broadcastQueueForIntent(intent);
+        BroadcastRecord r = new BroadcastRecord(queue, intent, callerApp,
+                callerPackage, callingPid, callingUid, resolvedType, requiredPermission,
+                appOp, registeredReceivers, resultTo, resultCode, resultData, map,
+                ordered, sticky, false, userId);
+        final boolean replaced = replacePending && queue.replaceParallelBroadcastLocked(r);
+        if (!replaced) {
+            queue.enqueueParallelBroadcastLocked(r);
+            queue.scheduleBroadcastsLocked();
+        }
+        //处理完之后置null,并且NR为零,如果没有执行这一步那么说明是有序广播
+        registeredReceivers = null;
+        NR = 0;
+    }
+
+    //...静态注册广播的处理
+
+    return ActivityManager.BROADCAST_SUCCESS;
+}
+

首先,判断是否是系统广播,非系统应用不能发送系统广播。检查某些广播action的权限,比如BROADCAST_PACKAGE_REMOVED 某些广播的特殊处理,比如如果是package remove,进程状态需要处理。讲静态注册的广播和动态注册的广播分开处理,分别保存在receivers和registeredReceivers里面,并且先处理动态注册的广播。

+

给Intent设置了Intent.FLAG_RECEIVER_REPLACE_PENDING这个标志位,那个将会替换掉队列里面还没有发送出去的广播。
给Intent设置了Intent.FLAG_RECEIVER_REGISTERED_ONLY这个标志位,那么将会只有动态注册的广播才能收到。
处理完之后置null,并且NR为零,如果没有执行这一步那么说明是有序广播。
根据Intent的类型调用broadcastQueueForIntent得到BroadcastQueue:

+
BroadcastQueue broadcastQueueForIntent(Intent intent) {
+    final boolean isFg = (intent.getFlags() & Intent.FLAG_RECEIVER_FOREGROUND) != 0;
+    //没有指定Intent.FLAG_RECEIVER_FOREGROUND,得到的就是mBgBroadcastQueue
+    return (isFg) ? mFgBroadcastQueue : mBgBroadcastQueue;
+}
+

AMS里面保存了两个用于发送广播的队列,用于保存前台和后台的优先级,在实例化AMS的时候就会创建,并且关联的Handelr也是AMS的Handelr。ServerThread类型是HandlerThread,所有处理广播是在AMS的子线程里面处理的:

+
public ActivityManagerService(Context systemContext) {
+    mContext = systemContext;
+    mSystemThread = ActivityThread.currentActivityThread();
+
+    //ServerThread是一个HandlerThread,s
+    mHandlerThread = new ServiceThread(TAG,
+            android.os.Process.THREAD_PRIORITY_FOREGROUND, false /*allowIo*/);
+    mHandlerThread.start();
+    mHandler = new MainHandler(mHandlerThread.getLooper());
+
+    mFgBroadcastQueue = new BroadcastQueue(this, mHandler,
+            "foreground", /**10s**/BROADCAST_FG_TIMEOUT, false);
+
+    //最后一个参数true, we can delay broadcasts while waiting services to finish in the previous receiver's process.
+    mBgBroadcastQueue = new BroadcastQueue(this, mHandler,
+            "background", /**60s**/BROADCAST_BG_TIMEOUT, true);
+    //...
+  }
+

将广播集合放到queue里面,然后调用scheduleBroadcastsLocked处理分发广播:

+
public final class BroadcastQueue {
+
+  public void scheduleBroadcastsLocked() {
+      //广播还没有发到队列里面则返回
+      if (mBroadcastsScheduled) {
+          return;
+      }
+      mHandler.sendMessage(mHandler.obtainMessage(BROADCAST_INTENT_MSG, this));
+      mBroadcastsScheduled = true;
+  }
+}
+

向Handler发消息:

+
private final class BroadcastHandler extends Handler {
+    //...
+
+    @Override
+    public void handleMessage(Message msg) {
+        switch (msg.what) {
+            case BROADCAST_INTENT_MSG: {
+                processNextBroadcast(true);
+            } break;
+           //...
+        }
+    }
+};
+
+final void processNextBroadcast(boolean fromMsg) {
+      synchronized(mService) {
+          BroadcastRecord r;
+          if (fromMsg) {
+              mBroadcastsScheduled = false;
+          }
+
+          //找到添加在无序广播集合里面的BroadcastRecord
+          while (mParallelBroadcasts.size() > 0) {
+              r = mParallelBroadcasts.remove(0);
+              r.dispatchTime = SystemClock.uptimeMillis();
+              r.dispatchClockTime = System.currentTimeMillis();
+              final int N = r.receivers.size();
+              for (int i=0; i<N; i++) {
+                  Object target = r.receivers.get(i);
+                  deliverToRegisteredReceiverLocked(r, (BroadcastFilter)target, false);
+              }
+              addBroadcastToHistoryLocked(r);
+          }
+        //...
+        }       
+}
+

mParallelBroadcasts集合里面的内容就是刚才调用enqueueParallelBroadcastLocked添加进去的。
调用deliverToRegisteredReceiverLocked做分发处理:

+
//分发广播到某个接受者
+private final void deliverToRegisteredReceiverLocked(BroadcastRecord r,
+        BroadcastFilter filter, boolean ordered) {
+    boolean skip = false;
+    //如果注册广播的时候声明了权限,需要检查发送者是否拥有这个权限
+    if (filter.requiredPermission != null) {
+        int perm = mService.checkComponentPermission(filter.requiredPermission,
+                r.callingPid, r.callingUid, -1, true);
+        if (perm != PackageManager.PERMISSION_GRANTED) {
+            skip = true;
+        }
+    }
+
+    //检查接受者的权限
+    if (!skip && r.requiredPermission != null) {
+        int perm = mService.checkComponentPermission(r.requiredPermission,
+                filter.receiverList.pid, filter.receiverList.uid, -1, true);
+        if (perm != PackageManager.PERMISSION_GRANTED) {
+            skip = true;
+        }
+    }
+
+    //...
+
+    //如果接受者进程挂掉这不分发
+    if (filter.receiverList.app == null || filter.receiverList.app.crashing) {
+        skip = true;
+    }
+
+    if (!skip) {
+        if (ordered) {
+            //...
+        }
+        try {
+            performReceiveLocked(filter.receiverList.app, filter.receiverList.receiver,
+                new Intent(r.intent), r.resultCode, r.resultData,
+                r.resultExtras, r.ordered, r.initialSticky, r.userId);
+           //...
+        } catch (RemoteException e) {
+          //...
+        }
+    }
+}
+

检查接受者和发送者的权限,没有问题就调用performReceiveLocked做真正的广播处理:

+
private static void performReceiveLocked(ProcessRecord app, IIntentReceiver receiver,
+        Intent intent, int resultCode, String data, Bundle extras,
+        boolean ordered, boolean sticky, int sendingUser) throws RemoteException {
+    if (app != null) {
+        if (app.thread != null) {
+            app.thread.scheduleRegisteredReceiver(receiver, intent, resultCode,
+                    data, extras, ordered, sticky, sendingUser, app.repProcState);
+        } else {
+            // Application has died. Receiver doesn't exist.
+            throw new RemoteException("app.thread must not be null");
+        }
+    } else {
+        receiver.performReceive(intent, resultCode, data, extras, ordered,
+                sticky, sendingUser);
+    }
+}
+

向注册广播的客户端发起IPC调用scheduleRegisteredReceiver,所以就执行到ApplicationThread#scheduleRegisteredReceiver:

+
public void scheduleRegisteredReceiver(IIntentReceiver receiver, Intent intent,
+        int resultCode, String dataStr, Bundle extras, boolean ordered,
+        boolean sticky, int sendingUser, int processState) throws RemoteException {
+    receiver.performReceive(intent, resultCode, dataStr, extras, ordered,
+            sticky, sendingUser);
+}
+

执行注册广播的时候往LoadedApk里面添加的InnerReceiver的方法performReceive:

+
final static class InnerReceiver extends IIntentReceiver.Stub {
+            final WeakReference<LoadedApk.ReceiverDispatcher> mDispatcher;
+            final LoadedApk.ReceiverDispatcher mStrongRef;
+
+            public void performReceive(Intent intent, int resultCode, String data,
+                    Bundle extras, boolean ordered, boolean sticky, int sendingUser) {
+                LoadedApk.ReceiverDispatcher rd = mDispatcher.get();
+
+                if (rd != null) {
+                    rd.performReceive(intent, resultCode, data, extras,
+                            ordered, sticky, sendingUser);
+                } else {
+                  //...
+                }
+            }
+        }
+

接着执ReceiverDispatcher#performReceive:

+
public void performReceive(Intent intent, int resultCode, String data,
+        Bundle extras, boolean ordered, boolean sticky, int sendingUser) {
+    Args args = new Args(intent, resultCode, data, extras, ordered,
+            sticky, sendingUser);
+    if (!mActivityThread.post(args)) {
+        if (mRegistered && ordered) {
+            //...有序广播需要做相应的处理
+        }
+    }
+}
+

Args是一个Runnable对象,向主线程的Handler发送Args里面的内容为:

+
final class Args extends BroadcastReceiver.PendingResult implements Runnable {
+           private Intent mCurIntent;
+           private final boolean mOrdered;
+
+
+           public void run() {
+               final BroadcastReceiver receiver = mReceiver;
+               final boolean ordered = mOrdered;
+               final Intent intent = mCurIntent;
+               mCurIntent = null;
+
+               //...
+
+               try {
+                   ClassLoader cl =  mReceiver.getClass().getClassLoader();
+                   intent.setExtrasClassLoader(cl);
+                   setExtrasClassLoader(cl);
+                   receiver.setPendingResult(this);
+                   receiver.onReceive(mContext, intent);
+               } catch (Exception e) {
+                   //...
+               }
+
+              //...
+           }
+       }
+

执行动态注册的广播onReceive方法。静态注册的广播与动态注册的广播处理方式不同,是放在receivers里面处理的,并且处理方式是串行的,防止并发启动多个广播接受者的进程。

+
private final int broadcastIntentLocked(ProcessRecord callerApp,
+        String callerPackage, Intent intent, String resolvedType,
+        IIntentReceiver resultTo, int resultCode, String resultData,
+        Bundle map, String requiredPermission, int appOp,
+        boolean ordered, boolean sticky, int callingPid, int callingUid,
+        int userId) {
+
+        //...静态注册广播的处理
+
+        //这个会将有序广播和静态注册的广播根据优先级合并在一起
+        // Merge into one list.
+        int ir = 0;
+        if (receivers != null) {
+            //注释说得很清楚,防止安装应用接受PACKAGE_ADD这个广播将自身启动,被安装的应用如果静态监听了,需要去掉
+
+            // A special case for PACKAGE_ADDED: do not allow the package
+            // being added to see this broadcast.  This prevents them from
+            // using this as a back door to get run as soon as they are
+            // installed.  Maybe in the future we want to have a special install
+            // broadcast or such for apps, but we'd like to deliberately make
+            // this decision.
+            String skipPackages[] = null;
+            if (Intent.ACTION_PACKAGE_ADDED.equals(intent.getAction())
+                    || Intent.ACTION_PACKAGE_RESTARTED.equals(intent.getAction())
+                    || Intent.ACTION_PACKAGE_DATA_CLEARED.equals(intent.getAction())) {
+                Uri data = intent.getData();
+                if (data != null) {
+                    String pkgName = data.getSchemeSpecificPart();
+                    if (pkgName != null) {
+                        skipPackages = new String[] { pkgName };
+                    }
+                }
+            } else if (Intent.ACTION_EXTERNAL_APPLICATIONS_AVAILABLE.equals(intent.getAction())) {
+                skipPackages = intent.getStringArrayExtra(Intent.EXTRA_CHANGED_PACKAGE_LIST);
+            }
+            if (skipPackages != null && (skipPackages.length > 0)) {
+                for (String skipPackage : skipPackages) {
+                    if (skipPackage != null) {
+                        int NT = receivers.size();
+                        for (int it=0; it<NT; it++) {
+                            ResolveInfo curt = (ResolveInfo)receivers.get(it);
+                            if (curt.activityInfo.packageName.equals(skipPackage)) {
+                                receivers.remove(it);
+                                it--;
+                                NT--;
+                            }
+                        }
+                    }
+                }
+            }
+
+            int NT = receivers != null ? receivers.size() : 0;
+            int it = 0;
+            ResolveInfo curt = null;
+            BroadcastFilter curr = null;
+            while (it < NT && ir < NR) {
+                if (curt == null) {
+                    curt = (ResolveInfo)receivers.get(it);
+                }
+                if (curr == null) {
+                    curr = registeredReceivers.get(ir);
+                }
+                //动态注册的有序广播将会在这里根据优先级排序
+                if (curr.getPriority() >= curt.priority) {
+                    // Insert this broadcast record into the final list.
+                    receivers.add(it, curr);
+                    ir++;
+                    curr = null;
+                    it++;
+                    NT++;
+                } else {
+                    // Skip to the next ResolveInfo in the final list.
+                    it++;
+                    curt = null;
+                }
+            }
+        }
+        while (ir < NR) {
+            if (receivers == null) {
+                receivers = new ArrayList();
+            }
+            receivers.add(registeredReceivers.get(ir));
+            ir++;
+        }
+
+        if ((receivers != null && receivers.size() > 0)
+                || resultTo != null) {
+            BroadcastQueue queue = broadcastQueueForIntent(intent);
+            BroadcastRecord r = new BroadcastRecord(queue, intent, callerApp,
+                    callerPackage, callingPid, callingUid, resolvedType,
+                    requiredPermission, appOp, receivers, resultTo, resultCode,
+                    resultData, map, ordered, sticky, false, userId);
+            boolean replaced = replacePending && queue.replaceOrderedBroadcastLocked(r);
+            if (!replaced) {
+                queue.enqueueOrderedBroadcastLocked(r);
+                queue.scheduleBroadcastsLocked();
+            }
+        }
+
+        return ActivityManager.BROADCAST_SUCCESS;}
+

上面的代码就是静态广播和有序广播的处理,会将静态注册的广播和有序广播放到统一放到receivers里面,然后根据某些情况过滤接受者,然后调用
queue.enqueueOrderedBroadcastLocked(r);将这个一次要发送的广播相关信息放到有序广播的集合mOrderedBroadcasts里,然后在调用queue做分发处理:

+
public void scheduleBroadcastsLocked() {
+    //上一个消息还没得到处理就先返回
+    if (mBroadcastsScheduled) {
+        return;
+    }
+    mHandler.sendMessage(mHandler.obtainMessage(BROADCAST_INTENT_MSG, this));
+    mBroadcastsScheduled = true;
+}
+

向Hanlder发送消息之后调用processNextBroadcast做处理:

+
final void processNextBroadcast(boolean fromMsg) {
+    synchronized(mService) {
+        BroadcastRecord r;
+        if (fromMsg) {
+            mBroadcastsScheduled = false;
+        }
+
+        while (mParallelBroadcasts.size() > 0) {
+            //无序广播的处理  
+         }
+
+        //新启动的进程的广播正在被处理,那么返回继续等待
+        if (mPendingBroadcast != null) {
+            boolean isDead;
+            synchronized (mService.mPidsSelfLocked) {
+                ProcessRecord proc = mService.mPidsSelfLocked.get(mPendingBroadcast.curApp.pid);
+                isDead = proc == null || proc.crashing;
+            }
+            if (!isDead) {
+                // It's still alive, so keep waiting
+                return;
+            } else {
+                mPendingBroadcast.state = BroadcastRecord.IDLE;
+                mPendingBroadcast.nextReceiver = mPendingBroadcastRecvIndex;
+                mPendingBroadcast = null;
+            }
+        }
+        boolean looped = false;
+        do {
+            //..找到集合里面的第一个广播,并且判断是不是最后一个广播做相应处理
+            r = mOrderedBroadcasts.get(0);
+            boolean forceReceive = false;
+            mOrderedBroadcasts.remove(0);
+            //..
+            }
+        } while (r == null);
+
+        int recIdx = r.nextReceiver++;
+
+        Object nextReceiver = r.receivers.get(recIdx);
+        //如果广播类型是BroadcastFilter说明是动态注册的有序广播
+        if (nextReceiver instanceof BroadcastFilter) {
+                  BroadcastFilter filter = (BroadcastFilter)nextReceiver;
+                  deliverToRegisteredReceiverLocked(r, filter, r.ordered);
+                  if (r.receiver == null || !r.ordered) {
+                      r.state = BroadcastRecord.IDLE;
+                      scheduleBroadcastsLocked();
+                  }
+                  return;
+              }
+
+        ResolveInfo info =  (ResolveInfo)nextReceiver;
+        ComponentName component = new ComponentName(
+                info.activityInfo.applicationInfo.packageName,
+                info.activityInfo.name);
+
+        //检查权限相关操作...
+
+        // Is this receiver's application already running?
+        ProcessRecord app = mService.getProcessRecordLocked(targetProcess,
+                info.activityInfo.applicationInfo.uid, false);
+        if (app != null && app.thread != null) {
+            try {
+                app.addPackage(info.activityInfo.packageName,
+                        info.activityInfo.applicationInfo.versionCode, mService.mProcessStats);
+                //如果静态注册的接受者进程已经存在,那么就直接处理,不用开启进程
+                processCurBroadcastLocked(r, app);
+                return;
+            } catch (RemoteException e) {
+                Slog.w(TAG, "Exception when sending broadcast to "
+                      + r.curComponent, e);
+            } catch (RuntimeException e) {
+                 return;
+            }
+
+        }
+
+        //开启进程处理,并将mPendingBroadcast赋值,等待进程启动之后向AMS发起attachApplication请求
+         if((r.curApp=mService.startProcessLocked(targetProcess,
+                info.activityInfo.applicationInfo, true,
+                r.intent.getFlags() | Intent.FLAG_FROM_BACKGROUND,
+                "broadcast", r.curComponent,
+                (r.intent.getFlags()&Intent.FLAG_RECEIVER_BOOT_UPGRADE) != 0, false, false))
+                        == null) {
+             finishReceiverLocked(r, r.resultCode, r.resultData,
+                    r.resultExtras, r.resultAbort, false);
+            scheduleBroadcastsLocked();
+            r.state = BroadcastRecord.IDLE;
+            return;
+        }
+
+        mPendingBroadcast = r;
+        mPendingBroadcastRecvIndex = recIdx;
+    }
+}
+

从有序广播集合里面取得一个接收者,判断是静态注册的广播还是动态注册的广播,如果是动态注册的广播,那么就是有序广播,直接向客户端逐个分发。

+

如果是静态注册的广播,先判断接受者的进程是否存在,如果存在就不用开启进程。如果不存在,开启进程处理,并将mPendingBroadcast赋值,等待进程启动之后向AMS发起attachApplication请求,再处理放到mPendingBroadcast的广播。

+ + + + + + \ No newline at end of file diff --git a/2016/02/24/art-of-android-development-notes-jni-ndk/index.html b/2016/02/24/art-of-android-development-notes-jni-ndk/index.html index e69de29..231da79 100644 --- a/2016/02/24/art-of-android-development-notes-jni-ndk/index.html +++ b/2016/02/24/art-of-android-development-notes-jni-ndk/index.html @@ -0,0 +1,413 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:JNI和NDK编程 + + + + +

Android开发艺术探索:JNI和NDK编程

NDK是Android所提供的工具集合,通过NDK可以方便地通过JNI来访问本地代码,还提供交叉编译器,开发人员只需要简单的修改mk文件就可以生成特定CPU平台的动态库。

+

NDK好处:

+ +

JNI开发流程(Java工程)

1.在Java中声明native方法

+
package com.wujingchao.hellojni;
+
+
+public class HelloJni {
+
+    static {
+            System.loadLibrary("hello-jni"); 
+    }
+
+    public native static String sendAndReceive(String msg) ;
+
+        public static void main(String [] args) {
+            String result  = sendAndReceive("Hello");
+            System.out.println(result);
+        }
+}
+

so库的名称为libhello-jni.so,这是加载so库的规范。

+

2.编译Java源文件得到class文件,javah命令导出JNI的头文件

+

编译class文件:

+
javac com/wujingchao/hellojni/HelloJni.java
+

结果:

+
└── com
+    └── wujingchao
+        └── hellojni
+            ├── HelloJni.class
+            └── HelloJni.java
+

导出Jni头文件:

+
javah com.wujingchao.hellojni.HelloJni
+

结果:

+
├── com
+│   └── wujingchao
+│       └── hellojni
+│           ├── HelloJni.class
+│           └── HelloJni.java
+└── com_wujingchao_hellojni_HelloJni.h
+
+

生成的.h文件:

+
/* DO NOT EDIT THIS FILE - it is machine generated */
+#include <jni.h>
+/* Header for class com_wujingchao_hellojni_HelloJni */
+
+#ifndef _Included_com_wujingchao_hellojni_HelloJni
+#define _Included_com_wujingchao_hellojni_HelloJni
+#ifdef __cplusplus
+extern "C" {
+#endif
+/*
+ * Class:     com_wujingchao_hellojni_HelloJni
+ * Method:    sendAndReceive
+ * Signature: (Ljava/lang/String;)Ljava/lang/String;
+ */
+JNIEXPORT jstring JNICALL Java_com_wujingchao_hellojni_HelloJni_sendAndReceive
+  (JNIEnv *, jclass, jstring);
+
+#ifdef __cplusplus
+}
+#endif
+#endif
+
+

函数名规则:Java_包名_类名_方法名
JNIEnv*:表示一个指向JNI环境的指针,可以通过它来访问JNI提供的接口方法
jobject:表示Java对象本身即this
JNIEXPORT和JNICALL:JNI定义的宏,可以在java.h这个头文件里面找到

+

extern “C” 采用C语言的命名风格来编译。

+

3.实现JNI方法

+

实现JNI方法可以选择C++或者C来实现。

+

在工程目录下新建文件夹jni(名字不固定),将生成的头文件放到jni目录下面,将实现的.c或者.cpp文件放到jni目录下。

+

HelloJni.c:

+
#include "com_wujingchao_hellojni_HelloJni.h"
+#include <stdio.h>
+
+JNIEXPORT jstring JNICALL Java_com_wujingchao_hellojni_HelloJni_sendAndReceive
+  (JNIEnv *env, jclass thiz, jstring str) {
+    char* message = (char*)(*env)->GetStringUTFChars(env,str,NULL);
+    printf("receive message = %s\n",message);
+    return (*env)->NewStringUTF(env,"Bye!");
+}
+

或者HelloJni.cpp:

+
#include "com_wujingchao_hellojni_HelloJni.h"
+#include <stdio.h>
+
+JNIEXPORT jstring JNICALL Java_com_wujingchao_hellojni_HelloJni_sendAndReceive
+  (JNIEnv *env, jclass thiz, jstring str) {
+    char* message = (char*)env->GetStringUTFChars(str,NULL);
+    printf("receive message = %s\n",message);
+    return  env->NewStringUTF("Bye!");
+}
+

主要区别集中在对env的操作上。

+

4.编译so库在Java中调用

+
gcc -shared -I /usr/lib/jvm/java-7-openjdk-amd64/include -fPIC HelloJni.c -o libhello-jni.so
+

或者

+
gcc -shared -I /usr/lib/jvm/java-7-openjdk-amd64/include -fPIC HelloJni.cpp -o libhello-jni.so
+

制定so库的路径执行Java程序,-Djava.library.path为so库的路径:

+
java -Djava.library.path=../jni com.wujingchao.hellojni.HelloJni
+
+

C和C++的调用结果是一样的:

+
wujingchao@N4050:~/WorkSpace/Java/HelloJNI/src$ java -Djava.library.path=../jni com.wujingchao.hellojni.HelloJni
+receive message = Hello
+Bye!
+

NDK开发流程(Android Studio)

在HelloJni/local.properties里声明ndk的路径:

+
ndk.dir=/home/wujingchao/Android/android-ndk-r10e
+sdk.dir=/home/wujingchao/Android/Sdk
+

定义本地方法,编译之后生成HelloJni/app/build/intermediates/classes/debug/com/wujingchao/android/hellojni/NDKUtils.class:

+
package com.wujingchao.android.hellojni;
+
+public class NDKUtils {
+
+    static {
+        System.loadLibrary("hello-jni");
+    }
+
+    public native static String sendAndReceive(String message);
+}
+
+

然后在debug目录下导出头文件:

+
javah com.wujingchao.android.hellojni.NDKUtils
+
+├── com
+│   └── wujingchao
+│       └── android
+│           └── hellojni
+│               ├── BuildConfig.class
+│               ├── MainActivity$1.class
+│               ├── MainActivity.class
+│               ├── NDKUtils.class
+|                /....
+└── com_wujingchao_android_hellojni_NDKUtils.h
+
+

将其复制到app/src/main/jni,然后新建.c或者.cpp实现方法:

+
#include "com_wujingchao_android_hellojni_NDKUtils.h"
+#include <stdio.h>
+
+JNIEXPORT jstring JNICALL Java_com_wujingchao_android_hellojni_NDKUtils_sendAndReceive
+        (JNIEnv *env, jclass clazz, jstring s){
+    const char* str = (*env)->GetStringUTFChars(env,s,NULL);
+    printf("%s",str);
+    return (*env)->NewStringUTF(env,"Hello,Bye");
+}
+
+

然后在build.gradle声明生成so:

+
defaultConfig {
+    applicationId "com.wujingchao.android.hellojni"
+    minSdkVersion 9
+    targetSdkVersion 23
+    versionCode 1
+    versionName "1.0"
+
+     ndk {
+        moduleName "hello-jni" //和System.loadLibrary("hello-jni");里面加载的一致
+        abiFilters "armeabi", "armeabi-v7a", "x86" //可以不写,那么就是全平台
+     }
+}
+

JNI的数据类型和类型签名

JNI的数据类型基本数据类型和引用数据类型。

+

基本数据类型:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
JNI类型Java类型描述
jbooleanboolean######
jbytebyte
jintint
..
voidvoid..
+

引用数据类型:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
JNI类型Java类型描述
jobjectObject
jclassClass
jobjectArrayObject[]
jstringString
jintArrayint[]
jthrowableThrowable
..
+

JNI的类型签名标识了Java类型,可以是类,方法,数据类型。

+

类的签名采用 “L + 包名 + 类名 +;”,例如java.lang.String,签名为 Ljava/lang/String;

+

基本数据类型采用大写字母表示:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
JNI类型签名
booleanZ
byteB
charC
shortS
intI
LongJ
floatF
doubleD
voidV
+

对象的签名就是所属类名的签名,数组签名为 [ + 类型签名,比如:
int [] : [I
float[] : [F
int[][] : [[I

+

方法的签名为 (参数类型签名) + 返回值类型签名,例如:
boolean fun1(int a,double b,int[] c) : (ID[C)Z
boolean fun2(int a,String b,int[] c) : (ILjava/lang/String;[I)Z
void fun3(int i) : (I)V

+

JNI调用Java方法的流程

JNI调用Java方法的流程是先通过类名找到类,然后在根据方法名找到方法的id。非构造方法需要构造类的对象才能调用,或者使用已有的对象。

+

调用静态方法:

+
jclass clazz = (*env)->FindClass("com/wujingchao/android/NDKUtils");
+if(clazz == NULL){
+    //...
+    return;
+}
+
+jmethodId id = (*env)->GetStaticMethodID(clazz,"testStaticJni","()V");//第三个参数为方法签名
+if(id == NULL) {
+    //...
+    return;
+}
+
+(*env)->CallStaticVoidMethod(clazz,id,NULL);//第三个参数为方法参数
+
+

调用对象方法:

+
    jclass clazz = (*env)->FindClass(env, "com/wujingchao/android/NDKUtils");  
+    if (clazz == NULL) {  
+        //...
+        return;  
+    }  
+
+    jmethodId construct = (*env)->GetMethodID(env,clazz, "<init>","()V");  
+    if (mid_construct == NULL) {  
+        //...
+        return;  
+    }  
+
+    jmethodId testJniMethod = (*env)->GetMethodID(env, clazz, "testJni", "(Ljava/lang/String;I)V");  
+    if (testJniMethod == NULL) {  
+        //...
+        return;  
+    }  
+
+    jobject jobj = (*env)->NewObject(env,clazz,mid_construct);  
+    if (jobj == NULL) {  
+        //...
+        return;  
+    }  
+    jstring arg = (*env)->NewStringUTF(env,"Hello,Bye");
+
+    (*env)->CallVoidMethod(env,jobj,testJniMethod,arg);  
+
+ + + + + \ No newline at end of file diff --git a/2016/02/24/art-of-android-development-notes-performance/index.html b/2016/02/24/art-of-android-development-notes-performance/index.html index e69de29..7a14ca0 100644 --- a/2016/02/24/art-of-android-development-notes-performance/index.html +++ b/2016/02/24/art-of-android-development-notes-performance/index.html @@ -0,0 +1,122 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记:Android性能优化 + + + + +

Android开发艺术探索:Android性能优化

常用的优化方法:布局优化,绘制优化,内存泄露优化,响应速度优化,ListView优化,Bitmap优化,线程优化。

+
布局优化

尽量减少布局文件的层级,可以使用,标签和ViewStub。 标签配合使用,ViewStub提供按需加载的功能。

+

可以将一个制定的布局文件加载到当前的布局文件中,只支持android:layout_开头的属性,除了android:id:

+
<include
+   android:id="@+id/title"
+   android:layout_width="match_parent" 
+   android:layout_width="match_parent"
+   layout="@layout/title"
+   />
+

配合一起减少布局层级,如果在中的外层已经包含了ViewGroup组件,如果被包含进来的布局文件外层和include标签的外层相同,那么就可以使用merge标签去掉多余的那一层ViewGroup。

+

ViewGroup继承了View,宽和高都是0,不参与布局和绘制过程。可以实现按需加载:

+
<ViewStub
+    android:id="@+id/stub_import"
+    android:inflatedId="@+id/panel_import"
+    android:layout="@layout/layout_network_error"
+    android:layout_width="match_parent"
+    android:layout_height="wrap_parent"
+    android:layout_gravity="bottom"
+/>
+

stub_import是ViewStub的id,panel_import是layout_network_error这个布局的根元素的id,实现按需加载

+
findViewById(R.id.stub_import).setVisibility(View.VISIBLE);
+
+//或者
+View importPanel = (ViewStub)findViewById(R.id.stub_import).inflate();
+
+

另外ViewStub不支持标签。

+

绘制优化

降低View的onDraw的复杂度,尽量不要在里面创建对象。

+

内存泄露优化

+

响应速度优化

Activity如果5秒钟之内无法响应速度屏幕触摸事件或者键盘输入事件就会出现ANR,BroadcastReceiver如果10秒钟之内还未执行完操作也会出现ANR。
可以在/data/anr目录下创建一个文件traces.txt,当一个进程发生了ANR就会被记录在这个文件里面。

+

ListView和Bitmap优化

ListView:采用ViewHolder避免在getView执行耗时操作,根据滑动状态来控制任务的执行频率,,开启硬件加速。
Bitmap:主要是通过BitmapFactory.Options来对图片进行采样,根据需要图片的大小对BitmapFactory.Options的inSample参数进行设置。

+

线程优化

采用线程池,避免创建大量的Thread。

+

一些优化建议

+

使用MAT工具分析内存泄露。

+ + + + + + \ No newline at end of file diff --git a/2016/02/25/android-source-compilation/index.html b/2016/02/25/android-source-compilation/index.html index e69de29..8f2ec7e 100644 --- a/2016/02/25/android-source-compilation/index.html +++ b/2016/02/25/android-source-compilation/index.html @@ -0,0 +1,112 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 我的Android源码编译过程 + + + + +

我的Android源码编译过程

前段时间使用了在虚拟机里编译源码和安装双系统编译,由于源码存放的位置是在windows目录下面,文件系统为NTFS,总是不成功,所以就作罢了,前两天重装Ubuntu不小心整体安装了,文件系统变成了EXT,所以又想重新编译一下源码,总算成功了,编译源码就是想Debug源码,有时候看了代码分支太多云里雾里的,不知道自己分析的对不对,可以Debug验证一下,下面是我的编译过程。

+

我的Ubuntu版本是:14.04LTS

+

下载源码

由于国内环境原因,同步源码很费劲,特别是在网络不是特别给力的情况下,还好有好心人将源码以7zip的方式打包,放到百度网盘上面了,最新的是Android 6.0的版本,我选择的是Android 5.1.1_r1这个版本。地址如下:

+
http://pan.baidu.com/s/1ngsZs
+

下载结束之后就使用7z解压,没有安装7z先安装:

+
sudo apt-get install p7zip-full
+

然后解压,我指定了自己的解压目录:

+
7z x android-5.1.1_r1.7z -o/home/wujingchao/WorkSpace/AOSP2
+

解压之后源码大约有15G左右

+

编译环境配置

编译工具安装:

+
sudo apt-get install git-core gnupg flex bison gperf build-essential zip curl zlib1g-dev gcc-multilib g++-multilib libc6-dev-i386   lib32ncurses5-dev x11proto-core-dev libx11-dev lib32z-dev ccache
+

编译环境设置:

+

source build/envsetup.sh

+

设置C/C++编译器缓存,加快编译速度:

+
export USE_CCACHE=1
+export CCACHE_DIR=/<path_of_your_choice>/.ccache
+prebuilts/misc/linux-x86/ccache/ccache -M 50G
+

设置编译的Target,这里我选择的是arm平台,eng(development configuration with additional debugging tools):

+
lunch asop_arm-eng
+

编译的时候会检查JDK版本,需要安装OpenJDK,由于编译的是5.0,安装JDK7就好了,6.0需要JDK8:

+
sudo apt-get install openjdk-7-jdk
+

我编译的时候出现了xmllint没有安装导致编译中断,所以编译前检查下是否已经安装:

+
sudo apt-get install xmllint
+

然后就执行编译,j后面的参数根据CPU核心数选择:

+
make -j4
+

编译结束后大约有42G左右,好了,现在可以运行模拟器:

+
emulator
+

原生模拟器比较慢,需要多等一会儿。

+

导入源码到Android Studio

执行

+
 mmm development/tools/idegen/
+

mmm用于编译某个目录下面的模块,编译生成out/host/linux-x86/framework/idegen.jar,这个是用来生成IDE的工程文件。(需要在上面整个源码树编译成功的情况下)

+

然后在执行:

+
./development/tools/idegen/idegen.sh
+

生成Android Studio需要的工程文件android.iml,android.ipr。

+

使用Android Studio打开已存在的一个工程,经过漫长的indexing就可以在Android Studio查看以及修改源码了。

+ + + + + + \ No newline at end of file diff --git a/2016/03/06/design-and-implementation-of-volley/index.html b/2016/03/06/design-and-implementation-of-volley/index.html index e69de29..1aa74cc 100644 --- a/2016/03/06/design-and-implementation-of-volley/index.html +++ b/2016/03/06/design-and-implementation-of-volley/index.html @@ -0,0 +1,343 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Volley设计与实现 + + + + +

Volley设计与实现

Volley是google提供网络请求库,使用说明看这里。注:由于Android6.0把HttpClient去掉了,可能会编译不过,这时需要替换里面的常量,或者将对应的Module的sdk版本改成小于23(Android Studio)。

+

适用于数据量小的请求,因为通过http请求返回的内容不管多大都会被放到内存里面,内容过大容易OOM,如果是下载大文件的需求官方推荐使用DownloadManager,或者使用HttpURLConnnection读流写到文件里面。

+

Volley大致工作流程如下:

+

Volley架构

+

通过向RequestQueue添加定制的Request发起请求,RequestQueue内部维护着两个优先级阻塞队列(PriorityBlockingQueue),分别用于触发缓存分发器(CacheDispatcher)与网络分发器处理(NetworkDispatcher)。

+

当一个请求到来时,如果请求不能被缓存,那么就会直接被添加放到mNetworkQueue里,request默认是可以缓存的,所以会先放到mCacheQueue,请求还没有到来之前CacheDispatcher是处于阻塞的状态,当向mCacheQueue添加Request时CacheDispatcher就会被唤醒并拿到这个Reuest,从缓存里面查询缓存,判断缓存是否存在并且有效,如果有效就会被直接交给ResponseDelivery进行结果响应,失效或者不存在就会把请求放到mNetworkQueue里。

+

同样,当请求没有来临之前NetworkDispatcher也是处于阻塞的状态,当一个网络请求被放到mNetworkQueue,NetworkDispatcher就会被唤醒并拿到这个Request,交给Network处理请求,得到结果Response,判断是否需要写入缓存,最后交给ResponseDelivery结果响应。

+

Volley处理请求流程就是一个生产者-消费者模式,我们生产Request请求,Dispatcher进行消费,然后进行结果分发。Volley的每个类职责都比较单一,并且很多都是基于抽象接口来实现,比如Request,缓存,处理请求的Network,具有很强的扩展性。下面分别对每个模块进行分析。

+

Request

Request封装了一个HTTP请求,包含了请求的类型(GET OR POST OR …),请求的路径(url),HTTP请求的头部,POST请求的body等,我们可以根据HTTP协议结合实际需求定制HTTP请求。Request是一个泛型抽象类,我们需要实现如下两个方法,泛型表示响应结果类型。

+
public class Request<T> {
+
+    abstract protected Response<T> parseNetworkResponse(NetworkResponse response);
+
+    abstract protected void deliverResponse(T response);
+    //...
+}
+

Request这两个抽象方法可以认为是Request的两个职责:
1.parseNetworkResponse需要Request自身从HTTP响应的二进制数据去解析需要的类型,NetworkReponse表示一个HTTP的响应结果里面包含了一下内容:

+
public final int statusCode;
+public final byte[] data;
+public final Map<String, String> headers;
+public final boolean notModified;
+public final long networkTimeMs;
+

一般情况下需要从data二进制数据里面解析出服务端返回的二进制数据,根据结合响应头部headers生成HTTP缓存Cache.Entry(已提供工具方法HttpHeaderParser # parseCacheHeaders),解析的过程是在Dispatcher线程里面调用的,也就是Work Thread,解析得到结果之后使用Response工厂方法产生正确的响应或者错误的响应:

+
public class Response {
+    public static <T> Response<T> success(T result, Cache.Entry cacheEntry) {
+        return new Response<T>(result, cacheEntry);
+    }
+    public static <T> Response<T> error(VolleyError error) {
+        return new Response<T>(error);
+    }
+}
+

2.deliverResponse需要Request将响应结果内容分发,这里可以进一步调用接口分发,还可以直接更新UI,因为这里是通过Handler切换到UI线程调用的。

+

Request实现了Comparable接口,用于处理请求的优先级,每个请求被加入队列都会被分配一个递增序列mSequence实现FIFO,可以设置LOW,NORMAL,HIGH,IMMEDIATE四种优先级,默认优先级是NORMARL。

+
@Override
+public int compareTo(Request<T> other) {
+    Priority left = this.getPriority();
+    Priority right = other.getPriority();
+    //先比较优先级,后比较加入的顺序
+    return left == right ?
+            this.mSequence - other.mSequence :
+            right.ordinal() - left.ordinal();
+}
+

可以给Request设置一个RetryPolicy,表示Request的重试策略,请求失败之后的重试次数,请求等待的超时时间。

+

Volley给我们实现了五种Request,其中JsonRequest是一个抽象类,用于请求的body为json格式字符串,实现类是JsonArrayRequest,JsonObjectRequest。

+

Request默认实现

+

分别用于不同的响应结果String,JsonObject,JsonArray,Bitmap,有个比较特别,ClearCacheRequest清除缓存的请求,会被立刻执行。
Volley考虑到ImageRequest的特殊性做了特殊处理,例如优先级是最低的,并且为了防止OOM在统一时刻只解析一张图片,设置了重试策略。

+

RequestQueue

RequestQueue#add,添加请求,内部维护了四个不同形式的集合,用于实现不同功能。

+
public class RequestQueue{
+    private final Map<String, Queue<Request<?>>> mWaitingRequests =
+            new HashMap<String, Queue<Request<?>>>();
+
+    private final Set<Request<?>> mCurrentRequests = new HashSet<Request<?>>();
+
+    private final PriorityBlockingQueue<Request<?>> mCacheQueue =
+        new PriorityBlockingQueue<Request<?>>();
+
+    private final PriorityBlockingQueue<Request<?>> mNetworkQueue =
+        new PriorityBlockingQueue<Request<?>>();
+}
+

mCacheQueue和mNetworkQueue前面已经提到,用于触发NetworkDispatcher和CacheDispatcher处理请求。

+

mWaitingRequests:Request的key相同会被认为是相同的请求(key默认是Request的url),当有相同的请求到来时,如果Request是可以被缓存的(mShouldCache==true),那么,就会被放到mWaitingRequests中key对应的队列里,当请求被处理完成之后,Request会调用finish,通知将与之关联的RequestQueue将重复的Request全部放到mCacheQueue里处理,让CacheDispatcher从缓存里取出结果分发。如果Request不可缓存的,就会直接交给NetworkDispatcher处理。

+

mCurrentRequests:当一个请求被添加到RequestQueue相应也会就会被添加到mCurrentRequests,表示正在处理,可能在CacheDispatcher里面正等着被处理,或者在NetworkDispatcher里,等等,这个集合存在的目的就是让我们可以阻止队列中的Request进行下一步处理,因为在每一个阶段处理Request都会判断Request.isCanceled(),总之就是不会响应我们构造Request注册的回调。在Request被添加到RequestQueue之前,可以给Request设置一个tag(Object类型),要执行取消操作的时候调用RequestQueue#cancelAll(Object tag),就可以取消对应的Request,也可以自定义规则RequestFilter取消,使用tag取消也是RequestFilter实现的,规则就是tag的对象相等(对象地址)。

+
public void cancelAll(final Object tag) {
+    if (tag == null) {
+        throw new IllegalArgumentException("Cannot cancelAll with a null tag");
+    }
+    cancelAll(new RequestFilter() {
+        @Override
+        public boolean apply(Request<?> request) {
+            return request.getTag() == tag;
+        }
+    });
+}
+

构造RequestQueue需要将抽象的接口Cache,Network,ResponseDelivery关联起来,因为内部的CacheDispatcher和NetworkDispatcher需要用到。要想让RequestQueue开始工作,需要把CacheDispatcher和NetworkDispatcher线程开启,当不在需要请求结束时最好停止这些线程。默认处理缓存分发的线程只有一个,处理网络分发的线程有四个。

+
public void start() {
+    stop();
+    mCacheDispatcher = new CacheDispatcher(mCacheQueue, mNetworkQueue, mCache, mDelivery);
+    mCacheDispatcher.start();
+    for (int i = 0; i < mDispatchers.length; i++) {
+        NetworkDispatcher networkDispatcher = new NetworkDispatcher(mNetworkQueue, mNetwork,
+                mCache, mDelivery);
+        mDispatchers[i] = networkDispatcher;
+        networkDispatcher.start();
+    }
+}
+

另外如果要想要监听每一个Request的处理结果(可能是成功或者取消),可以向RequestQueue注册RequestFinishedListener。

+
public static interface RequestFinishedListener<T> {
+    /** Called when a request has finished processing. */
+    public void onRequestFinished(Request<T> request);
+}
+

这应该是RequestQueue的所有工作了。

+

CacheDispatcher和NetworkDispatcher

CacheDispatcher和NetworkDispatcher,开始工作后会处于循环,从相应的任务队列取出任务来处理。
CacheDispatcher从mCacheQueue取出Request之后,根据CacheKey从缓存里面取出缓存对象Cache.Entry,如果无效(不存在或者为空)就会放到mNetworkQueue里,交给NetworkDispatcher处理。命中缓存的话,调用前面Request实现的抽象接口parseNetworkResponse,从缓存对象里解析对应的数据对象和HTTP响应头部封装成一个Response,让ResponseDelivery去响应。

+

这里需要还有关键的一步,判断缓存对象是否需要刷新,从缓存头部会解析出来两个用于控制缓存是否有效的变量ttl和soft ttl。(Time To Live)
ttl小于当前的时间戳表示缓存已经完全失效不能再使用,这时就需要交给NetworkDispater处理,而soft ttl则表示缓存你暂时先用着,但还是要交给NetworkDispatcher处理,这次处理也比较特殊,会带上HTTP缓存信息相关头部,等它处理完这次请求才是真正的结束,并响应第二次更新缓存内容。

+

NetworkDispatcher的任务就是调用mNetwork执行真正的网络请求,解析之后解析HTTP响应,根据需要是否缓存。最后就是通知ResponseDelivery响应结果。

+

结束CacheDispatcher和NetworkDispatcher都是通过优先级阻塞队列(PriorityBlockingQueue)的take方法,当调用线程的interrupt方法,就会catch
InterruptedException,就可以比较“优雅”地结束掉线程的工作。另外CacheDispatcher往mNetworkQueue里放置Request的方法put也是阻塞的,但由于mNetworkQueue队列的容量是没有限制的,所以就不会被阻塞。

+

Network和HttpStack

public interface Network {
+
+    public NetworkResponse performRequest(Request<?> request) throws VolleyError;
+}
+
+
+public interface HttpStack {
+
+    public HttpResponse performRequest(Request<?> request, Map<String, String> additionalHeaders)
+        throws IOException, AuthFailureError;
+}
+
+

为了将耦合度降低,Volley将封装HTTP缓存响应头部,解析头部交给Network处理,响应状态码的处理,连接/等待超时的重试机制交给Network。真正请求的操作交给HttpStack,处理返回通用结果HttpResponse。两者的关系是Has-a(也就是聚合)。

+

Network只提供了一个实现 BasicNetwork。HttpStack提供了两种实现HurlStack,HttpClientStack,即内部实现分别是HttpUrlConnection和HttpClient。由于2.3的之前的版本HttpUrlConnection是不可靠的,所以默认使用的就是HttpClientStack,HttpUrlConnection的性能据说比HttpClient要好,并且后来Android 6.0也把HttpClient给剔除了,一般情况下还是使用HurlStack。我们也可以实现Network其他形式的请求栈,比如okhttp

+
public static RequestQueue newRequestQueue(Context context, HttpStack stack) {
+    //...
+    if (stack == null) {
+        if (Build.VERSION.SDK_INT >= 9) {
+            stack = new HurlStack();
+        } else {
+            stack = new HttpClientStack(AndroidHttpClient.newInstance(userAgent));
+        }
+    }
+    Network network = new BasicNetwork(stack);
+    return queue;
+}
+

HttpStack的职责就是封装请求参数给对应的实现,比如HttpUrlConnection,然后读取响应结果再封装成NetworkResponse。里面也涉及到了有请求Url的重写, Https的相关处理。

+

ByteArrayPool和PoolingByteArrayOutputStream

在BasicNetwork中有一点也比较特别,将Http的实体内容(HttpEntity)解析为字节数组,将这些临时用到的字节数组放到一个对象池里面,使用结束之后又将其放回对象池,免去了字节数组对象的频繁初始化,抑制内存抖动和垃圾回收器频繁回收,提高性能,实现类是ByteArrayPool。

+

先来看ByteArrayPool的使用,就提供了两个接口,接口是同步的,因为分别有四个不同的NetworkDispatcher(线程)调用:

+
public class ByteArrayPool {
+    public synchronized void returnBuf(byte[] buf) {
+        //...
+    }
+
+    public synchronized byte[] getBuf(int len) {
+        //...
+    }
+
+}
+

当我们需要使用byte[]的时候就通过调用getBuf获取,len为返回的byte数组大小,使用完毕之后调用returnBuf放回对象池里面。
下面是ByteArrayPool的结构:

+

ByteArrayPool和PoolingByteOutputStream

+

mBuffersBySize保存着池里面由小到大的引用,当我们需要一个对象的时候,就会从里面最小的开始查找,如果没有合适的对象,那么就直接new。

+
public synchronized byte[] getBuf(int len) {
+    for (int i = 0; i < mBuffersBySize.size(); i++) {
+        byte[] buf = mBuffersBySize.get(i);
+        if (buf.length >= len) {
+            mCurrentSize -= buf.length;
+            mBuffersBySize.remove(i);
+            mBuffersByLastUse.remove(buf);
+            return buf;
+        }
+    }
+    return new byte[len];
+}
+

mBuffersByLastUse保存最近使用记录,最后被使用的会被添加到链表的尾部,当池里面的总大小超过mSizeLimit,就会从池子里面把最不常使用的移除,逐个移除,从第一个开始,直到满足小于等于mSizeLimit:

+
public synchronized void returnBuf(byte[] buf) {
+        if (buf == null || buf.length > mSizeLimit) {
+            return;
+        }
+        mBuffersByLastUse.add(buf);
+        int pos = Collections.binarySearch(mBuffersBySize, buf, BUF_COMPARATOR);
+        if (pos < 0) {
+            pos = -pos - 1;
+        }
+        mBuffersBySize.add(pos, buf);
+        mCurrentSize += buf.length;
+        trim();
+}
+
+private synchronized void trim() {
+    while (mCurrentSize > mSizeLimit) {
+        byte[] buf = mBuffersByLastUse.remove(0);
+        mBuffersBySize.remove(buf);
+        mCurrentSize -= buf.length;
+    }
+}
+

Volley默认对象池里面的总大小为4K,所以比较适合小数据量的频繁请求,可以根据需求调整。

+

toolbox里与这个类有关系的就是PoolingByteArrayOutputStream,继承于ByteArrayOutputStream,ByteArrayOutputStream的核心就是内部有一个byte数组,通过往里面写内容实质就是往该数组写,里面的字节数组是通过new方式产生的,ByteArrayOutputStream不再使用就会被GC回收。
而PoolingByteArrayOutputStream内部的byte数组是从对象池里面取出来的,当使用结束之后又会放回到对象池里面。

+
public class PoolingByteArrayOutputStream extends ByteArrayOutputStream {
+
+    public PoolingByteArrayOutputStream(ByteArrayPool pool, int size) {
+        mPool = pool;
+        buf = mPool.getBuf(Math.max(size, DEFAULT_SIZE));
+    }
+
+    //...
+
+    @Override
+    public void close() throws IOException {
+        mPool.returnBuf(buf);
+        buf = null;
+        super.close();
+    }
+
+}
+

当PoolingByteArrayOutputStream调用close的时候就是把其放回对象池里面。
最后再来看下总体的流程:

+
/** Reads the contents of HttpEntity into a byte[]. */
+private byte[] entityToBytes(HttpEntity entity) throws IOException, ServerError {
+    PoolingByteArrayOutputStream bytes =
+            new PoolingByteArrayOutputStream(mPool, (int) entity.getContentLength());
+    byte[] buffer = null;
+    try {
+        InputStream in = entity.getContent();
+        if (in == null) {
+            throw new ServerError();
+        }
+        buffer = mPool.getBuf(1024);
+        int count;
+        while ((count = in.read(buffer)) != -1) {
+            bytes.write(buffer, 0, count);
+        }
+        return bytes.toByteArray();
+    } finally {
+        try {
+            // Close the InputStream and release the resources by "consuming the content".
+            entity.consumeContent();
+        } catch (IOException e) {
+            // This can happen if there was an exception above that left the entity in
+            // an invalid state.
+            VolleyLog.v("Error occured when calling consumingContent");
+        }
+        mPool.returnBuf(buffer);
+        bytes.close();
+    }
+}
+

临时buffer和PoolingByteArrayOutputStream内部的byte[]都是来自对象池。

+

Cache

Cache是Volley提供的缓存接口,里面的接口也比较好理解:

+
public Entry get(String key);
+public void put(String key, Entry entry);
+public void initialize();
+public void invalidate(String key, boolean fullExpire);
+public void remove(String key);
+public void clear();
+

缓存key为字符串,缓存项为Cache.Entry,里面包含HTTP响应内容的二进制内容,ETag,有效期等相关内容。Volley默认只提供了两种实现,基于磁盘文件的缓存DiskBasedCache,另外一个则是为了实现没有缓存功能的缓存NoCache,里面都是空实现。我们也可已根据自己的需求是实现缓存的方式,例如数据库缓存。

+

DiskBasedCache默认缓存大小为5MB,会把每一个缓存项当成一个文件,缓存项的格式如下:

+

DiskBaseCacheHeader

+

文件头写入的数据cache magic是用于标识该缓存文件的版本,当存入的和读取的cache magic会认为缓存无效而删除。存入字符串时会把其对应的UTF-8的二进制大小先存入,再存对应的数据。
byte[] data以上的内容为缓存CacheHeader,并且byte[] data没有对应的size,可以使用文件的大小减去CacheHeader的大小得到data的大小。
当CacheDispatcher开始工作时会执行缓存初始化操作,DiskBasedCache会将目录下的所有缓存文件载入,读取缓存文件的头部CacheHeader存入:

+
private final Map<String, CacheHeader> mEntries =
+        new LinkedHashMap<String, CacheHeader>(16, .75f, true);
+

第三个参数为accessOrder为true,访问内容会改变LinkedHashMap的entry顺序,最常访问的会被放到链表的后端。当放置新的缓存时,缓存总大小大于约定的总大小,那么就会移除某些缓存,就是从mEntries链表的前端开始移除。移除缓存就会把对应的文件删除和移除mEntries里面对应的CacheHeader,

+

ResponseDelivery

ResponseDelivery用于当CacheDispatcher或NetworkDispatcher执行完某个请求,分发处理结果:

+
public interface ResponseDelivery {
+    public void postResponse(Request<?> request, Response<?> response);
+    public void postResponse(Request<?> request, Response<?> response, Runnable runnable);
+    public void postError(Request<?> request, VolleyError error);
+}
+

Volley的默认实现是ExecutorDelivery:

+
public class ExecutorDelivery implements ResponseDelivery {
+
+    private final Executor mResponsePoster;
+
+    public ExecutorDelivery(final Handler handler) {
+        mResponsePoster = new Executor() {
+            @Override
+            public void execute(Runnable command) {
+                handler.post(command);
+            }
+        };
+    }
+}
+

在RequestQueue里面,如果没有指定ResponseDelivery,那么初始化的就是参数为主线程Handler的ExecutorDelivery:

+
public RequestQueue(Cache cache, Network network, int threadPoolSize) {
+    this(cache, network, threadPoolSize,
+            new ExecutorDelivery(new Handler(Looper.getMainLooper())));
+}
+

所以分发默认是在主线程里面执行的,其最终结果会向Request里分发:

+
if (mResponse.isSuccess()) {
+    mRequest.deliverResponse(mResponse.result);
+} else {
+    mRequest.deliverError(mResponse.error);
+}
+
+ + + + + \ No newline at end of file diff --git a/2016/03/13/volley-load-image-synchronize-request-data/index.html b/2016/03/13/volley-load-image-synchronize-request-data/index.html index e69de29..5654662 100644 --- a/2016/03/13/volley-load-image-synchronize-request-data/index.html +++ b/2016/03/13/volley-load-image-synchronize-request-data/index.html @@ -0,0 +1,206 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Volley扩展:图片加载,同步方式请求数据 + + + + +

Volley扩展:图片加载,同步方式请求数据

ImageLoader

考虑到图片加载的特殊性,Volley提供了ImageLoader和NetworkImageView来方便高效地加载图片。图片的数据量相比于文本信息略大,不宜将图片的数据缓存和文件数据缓存放在一块,ImageLoader提供了单独的图片缓存接口,由于真正的请求还是通过将ImageRequest加入RequestQueue处理的,并且ImageRequest是可以被CacheDispatcher缓存的,这样就能出现图片被缓存到RequestQueue里面的缓存,如果我们要使用ImageLoader加载图片的话,我认为应该根据需要将ImageRequest设置为不可缓存。NetworkImageView需要与ImageLoader结合使用,方便在布局文件里面直接加载图片。

+

ImageLoader和NetworkImageView详细使用参考官方文档

+

实例化ImageLoader,将RequestQueue和我们提供的ImageCache与ImageLoader关联。

+
public ImageLoader(RequestQueue queue, ImageCache imageCache) {
+    mRequestQueue = queue;
+    mCache = imageCache;
+}
+

缓存接口比较简单,获取Bitmap,放置Bitmap。

+
public interface ImageCache {
+    public Bitmap getBitmap(String url);
+    public void putBitmap(String url, Bitmap bitmap);
+}
+

处理图片请求,这里的处理和RequestQueue里面较为相似,先从缓存里面获取,获取成功则直接响应。随后判断有没有相同的请求未被响应的,有则放到mInFlightRequest里,待会批量处理,没有则放到RequestQueue处理。

+
public ImageContainer get(String requestUrl, ImageListener imageListener,
+        int maxWidth, int maxHeight, ScaleType scaleType) {
+
+    // only fulfill requests that were initiated from the main thread.
+    throwIfNotOnMainThread();
+
+    final String cacheKey = getCacheKey(requestUrl, maxWidth, maxHeight, scaleType);
+
+    // Try to look up the request in the cache of remote images.
+    Bitmap cachedBitmap = mCache.getBitmap(cacheKey);
+    if (cachedBitmap != null) {
+        // Return the cached bitmap.
+        ImageContainer container = new ImageContainer(cachedBitmap, requestUrl, null, null);
+        imageListener.onResponse(container, true);
+        return container;
+    }
+
+    // The bitmap did not exist in the cache, fetch it!
+    ImageContainer imageContainer =
+            new ImageContainer(null, requestUrl, cacheKey, imageListener);
+
+    // Update the caller to let them know that they should use the default bitmap.
+    imageListener.onResponse(imageContainer, true);
+
+    // Check to see if a request is already in-flight.
+    BatchedImageRequest request = mInFlightRequests.get(cacheKey);
+    if (request != null) {
+        // If it is, add this request to the list of listeners.
+        request.addContainer(imageContainer);
+        return imageContainer;
+    }
+
+    // The request is not already in flight. Send the new request to the network and
+    // track it.
+    Request<Bitmap> newRequest = makeImageRequest(requestUrl, maxWidth, maxHeight, scaleType,
+            cacheKey);
+
+    mRequestQueue.add(newRequest);
+    mInFlightRequests.put(cacheKey,
+            new BatchedImageRequest(newRequest, imageContainer));
+    return imageContainer;
+}
+

RequestFuture

前面所说的请求都是异步,有时候我们可能需要同步获取我们的网络数据,Volley也提供了同步获取数据的方式,那就是RequestFuture,实现了Future接口,所以可以通过get获取数据。

+
public class RequestFuture<T> implements Future<T>, Response.Listener<T>,
+       Response.ErrorListener {
+    public static <E> RequestFuture<E> newFuture() {
+        return new RequestFuture<E>();
+    }
+
+    private RequestFuture() {}
+
+    public void setRequest(Request<?> request) {
+        mRequest = request;
+    }
+
+}
+

实现了Reponse.Listener,Response.ErrorListener接口,所以将其作为Request请求的参数,用于接受响应的接口。然后将Request与其关联,主要用来实现Future的取消操作。

+

向Request添加请求之后就可以通过get获取数据了:

+
@Override
+public T get() throws InterruptedException, ExecutionException {
+    try {
+        return doGet(null);
+    } catch (TimeoutException e) {
+        throw new AssertionError(e);
+    }
+}
+
+@Override
+public T get(long timeout, TimeUnit unit)
+        throws InterruptedException, ExecutionException, TimeoutException {
+    return doGet(TimeUnit.MILLISECONDS.convert(timeout, unit));
+}
+
+private synchronized T doGet(Long timeoutMs)
+        throws InterruptedException, ExecutionException, TimeoutException {
+    if (mException != null) {
+        throw new ExecutionException(mException);
+    }
+
+    if (mResultReceived) {
+        return mResult;
+    }
+
+    if (timeoutMs == null) {
+        wait(0);
+    } else if (timeoutMs > 0) {
+        wait(timeoutMs);
+    }
+
+    if (mException != null) {
+        throw new ExecutionException(mException);
+    }
+
+    if (!mResultReceived) {
+        throw new TimeoutException();
+    }
+
+    return mResult;
+}
+
+@Override
+public synchronized void onResponse(T response) {
+    mResultReceived = true;
+    mResult = response;
+    notifyAll();
+}
+
+@Override
+public synchronized void onErrorResponse(VolleyError error) {
+    mException = error;
+    notifyAll();
+}
+
+

这里有一点比较坑,如果我们是在主线程调用的话,如果响应还没来的话我们我们在这里wait,并且没有设置wait的超时时间,那么就真的一直在这里等了,RequestQueue里面的ResponseDelivery默认是将Runnable通过post的方式放到主线程里面执行的,这里就会导致主线程在这里卡在,Looper里面的消息得不到处理。

+

即使设置了超时时间那么也是得不到结果的,因为还没有来得及等待Looper里面的消息执行就返回了。所以这里有两种处理方法:
1.将RequestFuture放到Work Thread里面使用,不要在UI线程里面使用。
2.将ResponseDelivery的Handler关联Work Thread的Looper。

+

上面两点主要目的就是让Response.Listener的调用线程和RequestFuture的调用线程不在同一个线程,这样才能是响应结果实现notifyAll,让get中的wait被唤醒。

+ + + + + + \ No newline at end of file diff --git a/2016/04/03/java-rsa-encryption/index.html b/2016/04/03/java-rsa-encryption/index.html index e69de29..e90d828 100644 --- a/2016/04/03/java-rsa-encryption/index.html +++ b/2016/04/03/java-rsa-encryption/index.html @@ -0,0 +1,136 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Java使用模数、公钥指数、私钥指数进行RSA加解密 + + + + +

Java使用模数、公钥指数、私钥指数进行RSA加解密

关于模数n、公钥指数e、私钥指数d的相关概念推荐阮老师的这两篇文章。

+

RSA算法原理(一)
RSA算法原理(二)

+

简单说一下,模数n就是随机选取的两个质数p,q的乘积,并且n的长度就是秘钥的长度。根据欧拉函数,得到

+
    φ(n) = (p-1)(q-1)。
+

公钥钥指数e随机选取,与φ(n)互质,通常为65537。然后根据 

+
    ed ≡ 1 (mod φ(n)) //等价于ed - 1 = kφ(n)
+

计算e对于φ(n)的反模元素d,即得到私钥指数d。

+

(n,e)就作为公钥,对数据进行加密,(n,d)就作为私钥,对数据进行解密。

+

根据公钥(n,e)来推导私钥(n,d)的步骤:
对这个方程求解 ed - 1 = kφ(n),这个方程已知的参数为e,想要计算出d,就需要知道φ(n)。
想要知道φ(n)就需要知道p和q。想要知道p和q就需要对n进行因数分解,所以对大整数n的因数分解难度决定了RSA算法的可靠性

+
+

给出两个大数很容易将他们相乘,但是给出他们的乘积找出因子就不是那么容易了。 – Wikipedia

+
+

先来看一下怎么生成模数、公钥指数和私钥指数:

+
KeyPairGenerator generator = KeyPairGenerator.getInstance("RSA");
+generator.initialize(1024);
+KeyPair pair = generator.generateKeyPair();
+RSAPrivateKey privateKey = (RSAPrivateKey) pair.getPrivate();
+RSAPublicKey publicKey = (RSAPublicKey) pair.getPublic();
+
+println("publicKey exponent:" + publicKey.getPublicExponent());
+println("publicKey modules:" + publicKey.getModulus());
+println("publicKey format:" + publicKey.getFormat());
+
+println("---------------------华丽的分割线-------------------------");
+
+println("privateKey exponent:" + privateKey.getPrivateExponent());
+println("privateKey modules:" +  privateKey.getModulus());
+println("privateKey format:" + privateKey.getFormat());
+

打印结果:

+
publicKey exponent:65537
+publicKey modules:154471992999058139479994460025815654498183391593444870454838266974581244599191659985455957889064163942388409487313472074598227824609910604156744751985833898809065078785899074110993629452358669379496163284362583792866500058660069050752020922895749548342185553141417346777273482310707415185758164008066298773949
+publicKey format:X.509
+---------------------华丽的分割线-------------------------
+privateKey exponent:24953766420205815381764520016071994967304996670579990593182061010725111564027070269710579156377653900210050677360692873548856950717077735724971492275722465522175892883197573916804276397143284954594245180776141869860033925480138858143033802945465036705957639063440190950861284456594945244826689811470380537909
+privateKey modules:154471992999058139479994460025815654498183391593444870454838266974581244599191659985455957889064163942388409487313472074598227824609910604156744751985833898809065078785899074110993629452358669379496163284362583792866500058660069050752020922895749548342185553141417346777273482310707415185758164008066298773949
+privateKey format:PKCS#8
+

然后就可以保存结果,下面是加解密的过程:

+
//公钥加密
+KeyFactory keyFactory = KeyFactory.getInstance("RSA");
+BigInteger modulus = new BigInteger("154471992999058139479994460025815654498183391593444870454838266974581244599191659985455957889064163942388409487313472074598227824609910604156744751985833898809065078785899074110993629452358669379496163284362583792866500058660069050752020922895749548342185553141417346777273482310707415185758164008066298773949",10);
+BigInteger publicExponent = new BigInteger("65537");
+RSAPublicKeySpec rsaPublicKeySpec = new RSAPublicKeySpec(modulus,publicExponent);
+PublicKey publicKey = keyFactory.generatePublic(rsaPublicKeySpec);
+
+Cipher cipher = Cipher.getInstance("RSA");
+cipher.init(Cipher.ENCRYPT_MODE,publicKey);
+byte[]  encryptData = cipher.doFinal("Hello,RSA!".getBytes());
+
+
+//私钥解密
+BigInteger privateExponent = new BigInteger("24953766420205815381764520016071994967304996670579990593182061010725111564027070269710579156377653900210050677360692873548856950717077735724971492275722465522175892883197573916804276397143284954594245180776141869860033925480138858143033802945465036705957639063440190950861284456594945244826689811470380537909",10);
+RSAPrivateKeySpec rsaPrivateKeySpec = new RSAPrivateKeySpec(modulus,privateExponent);
+PrivateKey privateKey = keyFactory.generatePrivate(rsaPrivateKeySpec);
+cipher.init(Cipher.DECRYPT_MODE,privateKey);
+byte[] decryptData = cipher.doFinal(encryptData);
+println("decryptData:" + new String(decryptData));
+

打印结果:

+
decryptData:Hello,RSA!
+

题外:另外需要注意的一点是Cipher这个实例是有状态的,所以不是线程安全的。is-cipher-thread-safe?

+ + + + + + \ No newline at end of file diff --git a/2016/05/17/protobuf-data-structure/index.html b/2016/05/17/protobuf-data-structure/index.html index e69de29..1b91c9a 100644 --- a/2016/05/17/protobuf-data-structure/index.html +++ b/2016/05/17/protobuf-data-structure/index.html @@ -0,0 +1,206 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Protobuf数据格式解析 + + + + +

Protobuf数据格式解析

Protobuf是Google开源的一款类似于Json,XML数据交换格式,其内部数据是纯二进制格式,不依赖于语言和平台,具有简单,数据量小,快速等优点。目前用于序列化与反序列化官方支持的语言有C++,C#, GO, JAVA, PYTHON。适用于大小在1M以内的数据,因为像在移动设备平台,内存是很珍贵。

+

使用方法也比较简单:

+ +

先来定义一个简单的消息:

+
message Person {
+   int32 id = 1;//24
+   string name = 2;//wujingchao
+   string email = 3;//wujingchao92@gmail.com
+}
+

实际的二进制消息为:

+

08 18 12 0a 77 75 6a 69 6e 67 63 68 61 6f 1a 16 77 75 6a 69 6e 67 63 68 61 6f 39 32 40 67 6d 61 69 6c 2e 63 6f 6d

+

下面就讲解这段二进制流数据是怎么组成的:

+

Varints

一般情况下int类型都是固定4个字节,protobuf定义了一种变长的int,每个字节最高位表示后面还有没有字节,低7位就为实际的值,并且使用小端的表示方法。例如1,varint的表示方法就为:

+
0000 0001
+

是不是这样就省了三个字节。

+

再例如300,4字节表示为:10 0101100,varint表示为:

+
10101100 00000010
+

所以前面消息为Person的id的值为00011000,即0x18。

+

负数的最高位为1,如果负数也使用这种方式表示就会出现一个问题,int32总是需要5个字节,int64总是需要10个字节。

+

所以定义了另外一种类型:sint32,sint64。采用ZigZag编码,所有的负数都使用正数表示,计算方式:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Signed OriginalEncoded As
00
-11
12
-23
21474836474294967294
-21474836484294967295
+

使用Varint编码的类型有int32, int64, uint32, uint64, sint32, sint64, bool, enum。Java里面没有对应的无符号类型,int32与uint32一样。

+

Wire Type

每个消息项前面都会有对应的tag,才能解析对应的数据类型,表示tag的数据类型也是Varint。

+

tag的计算方式: (field_number << 3) | wire_type

+

每种数据类型都有对应的wire_type:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Wire TypeMeaning Used For
0Varint int32, int64, uint32, uint64, sint32, sint64, bool, enum
164-bit fixed64, sfixed64, double
2Length-delimited string, bytes, embedded messages, packed repeated fields
3Start group groups (deprecated)
4End group groups (deprecated)
532-bit fixed32, sfixed32, float
+

所以wire_type最多只能支持8种,目前有6种。

+

所以前面Person的id,field_number为1,wire_type为0,所以对应的tag为

+
1 <<< 3 | 0  = 0x08
+

Person的name,field_number为2,wire_type为2,所以对应的tag为

+
2 <<< 3 | 2 = 0x12
+

对应Length-delimited的wire type,后面紧跟着的Varint类型表示数据的字节数。

+

所以name的tag后面紧跟的0x0a表示后面的数据长度为10个字节,即”wujingchao”的UTF-8 编码或者ASCII值:

+

08 18 12 0a 77 75 6a 69 6e 67 63 68 61 6f 1a 16

+

嵌套的消息类型embedded messages与packed repeated fields也是使用这种方式表示,对应默认值的数据,是不会写进protobuf消息里面的。

+

packed repeated与repeated的区别在于编码方式不一样,repeated将多个属性类型与值分开存储。而packed repeated采用Length-delimited方式。下面这个是官方文档的例子:

+
message Test4 {
+    repeated int32 d = 4 [packed=true];
+}
+
+22        // tag (field number 4, wire type 2)
+06        // payload size (6 bytes)
+03        // first element (varint 3)
+8E 02     // second element (varint 270)
+9E A7 05  // third element (varint 86942)
+

如果没有packed的属性是这样存储的:

+
20 //tag(field number 4,wire type 0)
+03 //first element (varint 3)
+20 //tag(field number 4,wire type 0)
+8E 02//second element (varint 270)
+20 //tag(field number 4,wire type 0)
+9E A7 05  // third element (varint 86942)
+

是不是这种方式比较节省内存,所以proto3的repeated默认就是使用packed这种方式来存储。(proto2与proto3区别在于.proto的语法)。

+

有了以上的相关概念,我们在读protobuf的源码就比较容易了。

+

参考:https://developers.google.com/protocol-buffers/docs/encoding

+ + + + + + \ No newline at end of file diff --git a/2016/05/27/adb-remote-debug/index.html b/2016/05/27/adb-remote-debug/index.html index e69de29..591a85b 100644 --- a/2016/05/27/adb-remote-debug/index.html +++ b/2016/05/27/adb-remote-debug/index.html @@ -0,0 +1,92 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 打开ADB远程TCP调试工具 + + + + +

打开ADB远程TCP调试工具

使用USB连接打开ADB远程方法如下:

+

在命令行执行

+
adb tcpip 5555
+adb connect 192.168.0.101:5555
+

当然,需要打开WIFI并且与PC在同一个网段。这种方式必须使用USB线,有时候会莫名其妙的连不上然后又再来一次。

+

其实是可以在代码里面执行相关操作的(需要ROOT权限),就写了一个测试的APP专门用于打开/关闭远程调试,再也不用USB线与电脑连接才能调试APP了。

+

核心代码如下,当把端口设置为-1就可以恢复。

+
int port = 5555;
+Runtime.getRuntime().exec("su");
+Runtime.getRuntime().exec("setprop service.adb.tcp.port " + port);
+Runtime.getRuntime().exec("stop adbd");
+Runtime.getRuntime().exec("start adbd");
+

效果图:

+

ADBRemoteDebug

+

完整的示例代码查看Github上面的源码:)

+ + + + + + \ No newline at end of file diff --git a/2016/06/05/the-programmer's-self-improvement-notes-review/index.html b/2016/06/05/the-programmer's-self-improvement-notes-review/index.html index e69de29..7dc0e23 100644 --- a/2016/06/05/the-programmer's-self-improvement-notes-review/index.html +++ b/2016/06/05/the-programmer's-self-improvement-notes-review/index.html @@ -0,0 +1,123 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书笔记-温故知新 + + + + +

《程序员的自我修养:链接、装载与库》读书笔记-温故知新

计算机硬件结构

计算机的硬件设备中,最关键的三个部件:中央处理器CPU,内存和I/O控制芯片。

+ +

早期计算机硬件结构

+

CPU与内存的的频率一样,直接连接到同一根总线(BUS)上,由于外部的I/O设备相比于内存与CPU有慢的比较多,所以每个设备都需要一个I/O控制器来协调设备与总线的通信。

+ +

后来由于CPU的频率升高,导致内存跟不上CPU的速度,就产生了与内存频率一致的系统总线,即使这样内存相对于I/O设备还是属于高速频率,后来又出现高速的图形化设备为了让CPU,内存,高速化图形设备能够快速交换数据,就设计了一个叫北桥的芯片(Northbrige,PCI Brige)。北桥专门用来处理高速设备的通信,低速的I/O设备的通信就使用了南桥芯片(Southbrige,ISA brige)。

+

制造CPU的工艺方面已经达到了物理极限(4 GHz),就出现了多处理器的趋势。

+

计算机软件结构

+

计算机科学领域的任何问题都可以通过增加一个间接的中间层来解决
Any problem in computer science can be solved by another layer of indirection.

+
+

计算机软件体系结构

+

理论上只允许相邻层之间使用协议进行通信,层次结构保持不变,那么中间层只要保证接口不变,那么层就可以被方便地替换。除了应用程序与硬件,其他都是中间层,正是由于中间层的存在,才保证应用程序与硬件相对独立。

+

操作系统

操作系统主要有两个功能:提供上层接口,管理硬件资源。硬件资源主要包括CPU,I/O设备,内存。

+ +

早期的多道程序(Multiprogramming),相当于是让任务顺序执行,这种调用方式粗糙,程序之间不分轻重缓急。后面又出现了分时系统(Time-Sharing System),每个程序在运行一小段时间之后交给其他程序执行,如果程序一直霸占着CPU,操作系统也没有办法,所以就出现了后面的抢占式(Preemptive),操作系统可以剥夺CPU资源将它分配给更需要的程序,如果操作系统分配给每个进程的时间都很短,CPU快速在多进程中切换,就出现了多个进程同时运行的假象。现代操作系统基本上都采用这种多任务的方式。

+ +

应用程序不需要也不能够与硬件直接打交道,只需调用操作系统提供的接口即可,然而硬件设备多如牛毛,操作的接口都不一样,不可能让操作系统为每一个硬件特殊处理,所以就加了驱动程序这一层,让硬件厂商根据操作系统提供的接口去实现,操作系统直接更驱动程序打交道即可。

+ +

早期计算机程序都是直接运行在内存上面,即程序可以直接访问物理地址。地址空间不隔离会导致程序直接可以随便修改别人的内存里面的内容,当新的程序需要运行需要把其他程序数据放到磁盘,内存的使用效率低,程序运行地址不确定。
所以就加了中间层,虚拟地址(Virtul Address),操作系统通过映射策略,将每个程序虚拟地址映射到物理地址,保证物理地址不重叠,就能够达到地址空间隔离的效果,即进程隔离。

+

地址空间分两种:虚拟地址空间(Virtual Address Space)和物理地址空间(Physical Address Space)。

+

普通应用程序需要一个简单的执行环境,有自己的CPU,单一的地址空间好像自己占有了整个计算机,其实是运行在虚拟的地址空间。

+

早期的虚拟地址空间到物理地址空间的映射方式为分段(Segmentation),

+

段映射机制

+

这种方式存在一个问题,当新程序执行,内存不足时就会导致频繁地进行内存与磁盘数据置换,这种方式粒度较大,严重影响程序的执行效率,所以后面就出现了分页(Paging)的方式。

+

分页的基本方法是把地址空间人为地等分成固定大小的页,每一页的大小由硬件决定,或硬件支持多种大小的页,由操作系统选择决定页的大小。目前几乎所有的PC上的操作系统都使用4KB大小的页。

+

页射机制

+

虚拟空间的页叫做虚拟页(VP,Visual Page),物理内存的页叫物理页(PP,Physical Page),磁盘中的页叫磁盘页(DP,Disk Page)。
Process 1的VP4,VP5,VP6处于未使用状态,VP2和VP3被映射到了磁盘页DP1,DP2,当进程需要访问VP2和VP3时,就会操作系统被加载到物理页,并建立映射关系。
虚拟地址空间的页被映射到同一地址空间就实现了内存共享,例如物理页PP3。

+

虚拟存储需要一个叫MMU(Memory Management Unit)的部件支持。

+

MMU

+

线程

线程(Thread),有时被称为轻量级进程(Lightweight Process, LWP),是程序执行流的最小单元。一个标准的线程由线程ID、当前指令指针(PC)、寄存器集合和堆栈组成。

+

进程内的线程

+

线程的私有存储空间包括栈,线程局部存储(Thread Local Storage,TLS),寄存器。

+

不论是在单处理器或者多处理器,线程总是并发执行的,当处理器数量大于线程数量,就是真正的并发执行。当处理器小于线程数量,比如在单任务的处理器中,线程的并发就是被模拟出来的,每个线程分配时间片(Time Slice)执行,快速地在CPU上切换。在线程调度(Thread Scheduler)中线程只是处于三种状态:
运行(Running):此时线程正在执行。
就绪(Ready):此时线程可以立刻运行,但CPU已经被占用。
等待(Waiting):此时线程正在等待某一事件(通常是I/O或同步)发生,无法执行。

+

线程的调度算法有优先级调度(Priority Schedule)和轮转法(Round Robin)。具有高优先级的会得到优先执行。

+

我们一般把频繁等待的线程称之为IO密集型线程(IO Bound Thread),而把很少等待的线程称为CPU密集型线程(CPU Bound Thread)。IO密集型线程总是比CPU密集型线程容易得到优先级的提升。

+

线程在用尽时间片之后会被强制剥夺继续执行的权利,而进入就绪状态,这个过程叫做抢占(Preemption)。

+ + + + + + \ No newline at end of file diff --git a/2016/06/20/recyclerview-image-waterfall/index.html b/2016/06/20/recyclerview-image-waterfall/index.html index e69de29..88dc7d8 100644 --- a/2016/06/20/recyclerview-image-waterfall/index.html +++ b/2016/06/20/recyclerview-image-waterfall/index.html @@ -0,0 +1,269 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + RecyclerView实现瀑布流 + + + + +

RecyclerView实现瀑布流

+

RecyclerView is a flexible view for providing a limited window into a large data set.

+
+

RecyclerView可以说是ListView和GridView的升级版本,提供了ListView和GridView的基础功能,并且有良好的扩展性,比如可以控制列表的布局和动画。该组件定制型太强,所以相对于ListView提出了很多新概念,刚接触可能会觉得比较复杂。

+

先来看下效果图:

+

瀑布流

+

与RecyclerView相关的重要基础类:

+ +

RecyclerView是android-support-library-v7里面的类,需要在gradle里面导入:

+
compile 'com.android.support:recyclerview-v7:23.3.0'
+//或者 compile 'com.android.support:cardview-v7:21.0.+'
+

RecyclerView实现瀑布流的实现步骤如下,其实也就是通常使用RecyclerView的步骤:

+

1.在布局文件里面声明RecyclerView,findViewById获取实例,或者通过代码的方式将RecyclerView添加到布局里面。

+

这两种方式还是有区别的,xml的方式可以声明RecyclerView的ScrollBar,代码方式由于初始化的时候系统未初始化ScrollBar的相关属性,所以这种方式初始化的Recycler是没有ScrollBar的。具体参考

+
    <!-- 声明scrollbars -->
+    <android.support.v7.widget.RecyclerView
+        xmlns:android="http://schemas.android.com/apk/res/android"
+        android:scrollbars="vertical"
+        android:layout_width="match_parent"
+        android:layout_height="match_parent" />
+

2.初始化Recycler的数据适配器

+

在我们使用ListView的时候,我们会在Adapter#getView的时候使用ViewHolder来缓存我们的Sub View对象避免重复的findViewById,已到达优化ListView的目的,但是我们可以选择用与不用。但是在RecyclerView.Adapter中就必须使用,因为在创建View对象的使用明确地要求我们返回ViewHolder对象,并且在给View加载数据也是使用ViewHolder。

+

在实现RecyclerView.Adapter必须要实现的三个方法,我们的列表项只有一个ImageView所以比较好理解。并且当我们的数据源发生改变是可以通过notifyItemInserted(int index),notifyItemRemoved(int index),notifyItemRangeChanged(int start,int end)通知数据适配器更新数据,如果我们在给RecyclerView设置了ItemAnimator还会显示相应的动画效果。

+
 public class MyViewHolder extends RecyclerView.ViewHolder {
+
+      ImageView imageView;
+
+      public MyViewHolder(View itemView) {
+          super(itemView);
+          imageView = (ImageView) itemView.findViewById(R.id.iv);
+      }
+
+  }
+
+
+public class MyAdapter extends RecyclerView.Adapter<MyViewHolder>{
+
+    private List<Integer> resIds;
+
+    public MyAdapter(List<Integer> resIds){
+        this.resIds = resIds;
+    }
+
+    @Override
+    public MyViewHolder onCreateViewHolder(ViewGroup parent, int viewType) {
+        View item = LayoutInflater.from(parent.getContext()).inflate(R.layout.recycler_view_item,parent,false);
+        return new MyViewHolder(item);
+    }
+
+    @Override
+    public void onBindViewHolder(final MyViewHolder holder, final int position) {
+         holder.imageView.setImageResource(resIds.get(position));
+    }
+
+    @Override
+    public int getItemCount() {
+        return resIds.size();
+    }
+}
+

3.默认我们的列表项与项之间是没有间隙的,可以通过添加自定义的ItemDecorations来实现列表项之间的间隙。

+

我们可以通过重写ItemDecorations的getItemOffsets来控制项与项之间的偏移量来实现列表之间的间隙。

+
/**
+ * 代码来自 http://stackoverflow.com/a/30701422
+ */
+public class GridSpacingItemDecoration extends RecyclerView.ItemDecoration {
+
+  private int spanCount;
+  private int spacing;
+  private boolean includeEdge;
+
+  public GridSpacingItemDecoration(int spanCount, int spacing, boolean includeEdge) {
+    this.spanCount = spanCount;
+    this.spacing = spacing;
+    this.includeEdge = includeEdge;
+  }
+
+  @Override
+  public void getItemOffsets(Rect outRect, View view, RecyclerView parent, RecyclerView.State state) {
+    int position = parent.getChildAdapterPosition(view); // item position
+    int column = position % spanCount; // item column
+
+    if (includeEdge) {
+      outRect.left = spacing - column * spacing / spanCount; // spacing - column * ((1f / spanCount) * spacing)
+      outRect.right = (column + 1) * spacing / spanCount; // (column + 1) * ((1f / spanCount) * spacing)
+
+      if (position < spanCount) { // top edge
+        outRect.top = spacing;
+      }
+      outRect.bottom = spacing; // item bottom
+    } else {
+      outRect.left = column * spacing / spanCount; // column * ((1f / spanCount) * spacing)
+      outRect.right = spacing - (column + 1) * spacing / spanCount; // spacing - (column + 1) * ((1f /    spanCount) * spacing)
+      if (position >= spanCount) {
+        outRect.top = spacing; // item top
+      }
+    }
+  }
+}
+

4.定义列表项增加,删除,重排序的动画,提供了默认的实现DefaultItemAnimator,效果为平移动画。

+

5.给列表项增加点击事件与长按事件,RecyclerView默认是没有提供的,可以通过在RecyclerView.Adapter中绑定数据的时候加上我们需要的事件,比如:

+
public class MyAdapter extends RecyclerView.Adapter<MyViewHolder>{
+
+    private List<Integer> resIds;
+
+    public MyAdapter(List<Integer> resIds){
+        this.resIds = resIds;
+    }
+
+    @Override
+    public MyViewHolder onCreateViewHolder(ViewGroup parent, int viewType) {
+        View item = LayoutInflater.from(parent.getContext()).inflate(R.layout.recycler_view_item,parent,false);
+        return new MyViewHolder(item);
+    }
+
+    @Override
+    public void onBindViewHolder(final MyViewHolder holder, final int position) {
+         holder.imageView.setImageResource(resIds.get(position));
+
+         holder.imageView.setOnClickListener(new View.OnClickListener() {
+             @Override
+             public void onClick(View v) {
+                 if(mOnItemClickListener != null) {
+                     mOnItemClickListener.onClick(holder,position);
+                 }
+             }
+         });
+
+         holder.imageView.setOnLongClickListener(new View.OnLongClickListener() {
+             @Override
+             public boolean onLongClick(View v) {
+                 if(mOnItemLongClickListener != null) {
+                     mOnItemLongClickListener.onLongClick(holder,position);
+                     return true;
+                 }
+                 return false;
+             }
+         });
+    }
+
+    @Override
+    public int getItemCount() {
+        return resIds.size();
+    }
+
+    private OnItemClickListener mOnItemClickListener;
+    private OnItemLongClickListener mOnItemLongClickListener;
+
+    public void setOnItemClickListener(OnItemClickListener onItemClickListener) {
+        mOnItemClickListener = onItemClickListener;
+    }
+
+    public void setOnItemLongClickListener(OnItemLongClickListener onItemLongClickListener) {
+        mOnItemLongClickListener = onItemLongClickListener;
+    }
+
+
+    interface OnItemClickListener {
+        void onClick(RecyclerView.ViewHolder VH ,int position);
+    }
+
+    interface OnItemLongClickListener {
+        void onLongClick(RecyclerView.ViewHolder VH,int position);
+    }
+
+}
+

这样,就可以监听列表项的点击事件和长按事件了。

+

综合一下,实现瀑布流的RecyclerView的代码就如下:

+
    RecyclerView recyclerView = new RecyclerView(this);
+    RecyclerView.LayoutManager layoutManager = new StaggeredGridLayoutManager(2,StaggeredGridLayoutManager.VERTICAL);
+    recyclerView.setLayoutManager(layoutManager);
+    adapter = new MyAdapter(getData());
+    recyclerView.setAdapter(adapter);
+    recyclerView.addItemDecoration(new GridSpacingItemDecoration(2,10,true));
+    recyclerView.setItemAnimator(new DefaultItemAnimator());
+    // use this setting to improve performance if you know that changes
+    // in content do not change the layout size of the RecyclerView
+    recyclerView.setHasFixedSize(true);
+    adapter.setOnItemClickListener(this);
+

完整的示例代码查看Github上面的源码:)

+

参考资料:
http://www.grokkingandroid.com/first-glance-androids-recyclerview/

+

https://developer.android.com/training/material/lists-cards.html

+ + + + + + \ No newline at end of file diff --git a/2016/06/26/percentlayout/index.html b/2016/06/26/percentlayout/index.html index e69de29..b4d903c 100644 --- a/2016/06/26/percentlayout/index.html +++ b/2016/06/26/percentlayout/index.html @@ -0,0 +1,222 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + PercentLayout原理以及扩展 + + + + +

PercentLayout原理以及扩展

概述

Percent Support Library 用于使用百分比控制子View在布局里面占用的大小,相比于layout_weight这个属性具有更高的灵活性,并且margin属性也支持使用百分比控制,这是layout_weight不具备的,官方只提供了PercentFrameLayout和PercentRelativeLayout,但是我们可以使用PercentLayoutHelper来让我们的布局也支持百分比的效果。目前支持的属性有:

+ +

特别地,layout_aspectRatio是用来表示宽高比例,当我们指定宽或者高的任一边的长度或者百分比,其就能够自动地计算出来另外一边的长度。

+

使用

在module级别的build.gradle里面的dependencies加上依赖即可:

+
dependencies {
+    com.android.support:percent:23.3.0
+}
+

先来看一下效果图:

+

PercentRelativeLayout

+

直接在布局文件里面声明即可,也比较好理解,不再累述,下面直接看实现的原理。

+
<android.support.percent.PercentRelativeLayout
+    xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
+    android:id="@+id/content"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent">
+
+    <View
+        android:id="@+id/view1"
+        app:layout_widthPercent="25%"
+        app:layout_heightPercent="10%"
+        android:background="#333366"/>
+
+    <View
+        android:id="@+id/view2"
+        android:layout_toRightOf="@id/view1"
+        app:layout_widthPercent="25%"
+        app:layout_heightPercent="10%"
+        android:background="#999933"/>
+
+    <View
+        android:id="@+id/view3"
+        android:layout_toRightOf="@id/view2"
+        app:layout_widthPercent="25%"
+        app:layout_heightPercent="10%"
+        android:background="#996600"/>
+
+    <View
+        android:layout_toRightOf="@id/view3"
+        app:layout_widthPercent="25%"
+        app:layout_heightPercent="10%"
+        android:background="#333333"/>
+
+    <View
+        app:layout_aspectRatio="578%"
+        app:layout_widthPercent="100%"
+        app:layout_marginTopPercent="10%"
+        android:background="#669999" />
+
+
+</android.support.percent.PercentRelativeLayout>
+

原理

由于上面的例子是PercentRelativeLayout,所以我们使用其来讲解,其实PercentFrameLayout和PercentRelativeLayout里面的代码几乎一样。

+

系统初始化布局都是通过LayoutInflater来实现的,比如在setContentView里面。LayoutParams在平时使用还是比较多的,其作用就是让父View决定如何摆放自己以及自己的宽高。当我们把child view写到布局里面,那么child view的LayoutParams由ViewGroup的generateDefaultLayoutParams来设置。下面就是LayoutInflater的为子View赋值LayoutParams的关键代码:

+
void rInflate(XmlPullParser parser, View parent, final AttributeSet attrs,
+    boolean finishInflate, boolean inheritContext) {
+    //...
+    while (((type = parser.next()) != XmlPullParser.END_TAG ||
+        parser.getDepth() > depth) && type != XmlPullParser.END_DOCUMENT) {
+
+        //...
+        final View view = createViewFromTag(parent, name, attrs, inheritContext);
+        final ViewGroup viewGroup = (ViewGroup) parent;
+        final ViewGroup.LayoutParams params = viewGroup.generateLayoutParams(attrs);
+        rInflate(parser, view, attrs, true, true);
+        viewGroup.addView(view, params);
+    //...
+}
+

PercentRelativeLayout所以就实现了generateLayoutParams的方法,并且返回的是继承的RelativeLayout.LayoutParams,这样就保留了RelativeLayout原来属性。并且generateLayoutParams的方法参数是AttributeSet,里面就包含了我们声明的PercentLayout的属性值,例如layout_widthPercent等等。

+

PercentRelativeLayout.LayoutParams在构造方法就通过PercentLayoutHelper对AttributeSet进行解析,解析的结果保存在自定义的数据结构PercentLayoutHelper.PercentLayoutInfo,里面包括了在概述里面说的所有属性。

+
private PercentLayoutHelper.PercentLayoutInfo mPercentLayoutInfo;
+
+public LayoutParams(Context c, AttributeSet attrs) {
+    super(c, attrs);
+    mPercentLayoutInfo = PercentLayoutHelper.getPercentLayoutInfo(c, attrs);
+}
+

另外,我们知道所有的LayoutParams都是继承ViewGoup.LayoutParams,里面有个方法是用来初始化View两个layout_width,layout_height:

+
protected void setBaseAttributes(TypedArray a, int widthAttr, int heightAttr) {
+    width = a.getLayoutDimension(widthAttr, "layout_width");
+    height = a.getLayoutDimension(heightAttr, "layout_height");
+}
+

如果我们没有在布局文件里面声明这两个属性,那么在LayoutInflater初始化的就会抛UnsupportedOperationException。由于使用了百分比的属性,所以这个属性就可以不需要,为了让其不抛异常,必须重写这个方法。

+

PercentLayoutHelper#fetchWidthAndHeight就是让其在没有值的情况下让LayoutParams的width和height的值都为0。

+
@Override
+protected void setBaseAttributes(TypedArray a, int widthAttr, int heightAttr) {
+    PercentLayoutHelper.fetchWidthAndHeight(this, a, widthAttr, heightAttr);
+}
+

初始化布局的时候已经把所有需要的数据都保持在了PercentLayoutInfo里面,接下来就到了我们熟悉的三大流程了:onMeasure->onLayout->onDraw,由于是ViewGroup,所以只需要关注前面两个即可。先来看onMeasure:

+
@Override
+protected void onMeasure(int widthMeasureSpec, int heightMeasureSpec) {
+    mHelper.adjustChildren(widthMeasureSpec, heightMeasureSpec);
+    super.onMeasure(widthMeasureSpec, heightMeasureSpec);
+    if (mHelper.handleMeasuredStateTooSmall()) {
+        super.onMeasure(widthMeasureSpec, heightMeasureSpec);
+    }
+}
+

adjustChildren的主要工作就是遍历所有的child view,通过child view的PercentLayoutHelper.LayoutParams的宽高百分比转换为实际的占用的像素宽高。并保存在对应child view的LayoutParams里,然后再调用RelativeLayout原有的onMeasure,就可以实现宽高的百分比转换。

+

我们在前面读书笔记中View的工作原理measure的过程里面有提到,有时候我们在测量View的时候,如果父View最大能够给我们的空间小于我们需要的空间,就会给测量结果的高两位加上相应的状态表示MEASURED_STATE_TOO_SMALL。

+

如果出现了这种情况,并且为layout_width和layout_height设置了wrap_content,就需要调用handleMeasuredStateTooSmall来处理,将宽或者高重新按照wrap_content的属性来测量。

+

然后就到了onLayout的阶段,基本什么也没做。如果在child view里面设置了layout_width,layout_height等属性,那么在onMeasure阶段就会调用adjustChildren将他们都保存起来,等onLayout结束之后再把他们给还原回去。

+
@Override
+protected void onLayout(boolean changed, int left, int top, int right, int bottom) {
+    super.onLayout(changed, left, top, right, bottom);
+    mHelper.restoreOriginalParams();
+}
+

扩展

通过前面的分析,我们可以很容易地将我们现有的组件通过PercentLayoutHelper这个类让我们现有的组件支持百分比控制child view的宽高,比如LinearLayout。代码几乎都长得一样,可以具体看Github上面的实现:)

+

根据上面的原理分析,具体的实现步骤:

+

1.继承布局原有的LayoutParams,并实现PercentLayoutHelper.PercentLayoutParams接口并在构造方法里面调用getPercentLayoutInfo(Context, AttributeSet)解析layout_widthPercent等参数。

+
public static class LayoutParams extends LinearLayout.LayoutParams implements PercentLayoutHelper.PercentLayoutParams {
+    public LayoutParams(Context c, AttributeSet attrs) {
+        super(c, attrs);
+        mPercentLayoutInfo = PercentLayoutHelper.getPercentLayoutInfo(c, attrs);
+    }
+}
+

2.重写在LayoutParams的setBaseAttributes(TypedArray, int, int) 方法,里面就加这一句代码:

+
@Override
+protected void setBaseAttributes(TypedArray a, int widthAttr, int heightAttr) {
+    PercentLayoutHelper.fetchWidthAndHeight(this, a, widthAttr, heightAttr);
+}
+

3.重写布局的generateLayoutParams(AttributeSet)方法,新构造我们实现了LayoutParams。

+

4.在onMeasure(int, int)方法里面调用mHelper.adjustChildren进行百分比转换:

+
 protected void onMeasure(int widthMeasureSpec, int heightMeasureSpec) {
+     mHelper.adjustChildren(widthMeasureSpec, heightMeasureSpec);
+     super.onMeasure(widthMeasureSpec, heightMeasureSpec);
+     if (mHelper.handleMeasuredStateTooSmall()) {
+         super.onMeasure(widthMeasureSpec, heightMeasureSpec);
+     }
+ }
+

5.在onLayout方法里面调用mHelper.restoreOriginalParams()恢复默认的LayoutParams参数:

+
protected void onLayout(boolean changed, int left, int top, int right, int bottom) {
+ super.onLayout(changed, left, top, right, bottom);
+ mHelper.restoreOriginalParams();
+}
+
+
参考资料:

1.PercentLayoutHelper

+ + + + + + \ No newline at end of file diff --git a/2016/07/10/fragment-ui/index.html b/2016/07/10/fragment-ui/index.html index e69de29..26281e5 100644 --- a/2016/07/10/fragment-ui/index.html +++ b/2016/07/10/fragment-ui/index.html @@ -0,0 +1,208 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 使用Fragment适配平板与手机 + + + + +

使用Fragment适配平板与手机

Fragment是Android 3.0版本引入的组件,而Android 3.0是基于平板设计的版本,可以猜想Fragment出现的原因之一就是适配大屏幕的Android设备。当然,也提供了support-v4的library支持更老的Android API。Android平板的Setting界面就是很好的案例,左边显示列表,右边显示对应列表项的详细内容。就像这样:

+

fragment_large__list_detail

+

在小屏幕的设备上,一屏只能显示列表或者内容,所以就需要分开显示,就像这样:

+

fragment_list_detail

+

完整的代码可以参考Github上的实现,涉及的要点:

+

1.布局加载

需要为屏幕的大小适配合适的布局文件,Android提供了限定符(Qualifer),可以根据屏幕宽高dp(Density-independent pixel)大小来适配,也可以根据屏幕的大小(Screen size)来适配。

+

dp的换算公式: dp = px / (dpi / 160)

+

公式的由来:
dpi(dots per inch)表示一英寸有多少个像素点,Android官方文档说明 1 dp = one physical pixel on a 160 dpi screen,160dpi是一个基线值,屏幕实际dpi与160dpi的比就是屏幕的密度(density),所以在160dpi的设备屏幕的密度就是1,所以1dp就对应1px,320dpi的密度就是2,1dp就对应2px。

+

为什么基线值是160呢?因为第一台Android设备HTC G1 就是160dpi。主流的dpi设备序列如下:

+ +

对应的density分别为 0.75, 1, 2, 3

+

根据屏幕宽dp匹配:

+ +

两者的区别就是SmallestWidth不会随着屏幕方向(orientation)而变化。
例如可以在资源文件夹里面放res/layout-sw600dp/,指定屏幕的至少宽度为600dp就加载该文件夹里面的资源文件。

+

根据屏幕大小Screen size匹配:

+ +

平板的大小至少为large,所以可以把资源放到res/layout-large/下。

+

根据上面的描述,准备两套资源分别放到文件夹res/layout,res/layout-large里面即可。

+

res/layout:

+
<?xml version="1.0" encoding="utf-8"?>
+<FrameLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:tools="http://schemas.android.com/tools"
+    android:id="@+id/content"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    tools:context=".app.fragment.TrainingActivity">
+    <fragment
+        android:name="com.wujingchao.android.demo.app.fragment.TrainingListFragment"
+        android:layout_width="match_parent"
+        android:layout_height="match_parent" />
+</FrameLayout>
+
+

res/layout-large:

+
<?xml version="1.0" encoding="utf-8"?>
+<com.wujingchao.android.demo.supportLibrary.percentlayout.PercentLinearLayout
+    xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:orientation="horizontal">
+
+    <fragment
+        app:layout_widthPercent="30%"
+        android:tag="list"
+        android:layout_height="match_parent"
+        android:name="com.wujingchao.android.demo.app.fragment.TrainingListFragment"/>
+
+    <fragment
+        app:layout_widthPercent="70%"
+        android:tag="detail"
+        android:layout_height="match_parent"
+        android:name="com.wujingchao.android.demo.app.fragment.TrainingDetailFragment"/>
+
+</com.wujingchao.android.demo.supportLibrary.percentlayout.PercentLinearLayout>
+
+

这里用到了PercentLinearLayout,可以参考 PercentLayout原理以及扩展

+

2.判断加载了哪个布局文件

当我们把fragment标签写入了布局文件,那么在LayoutInflater加载布局的时候会实例化Fragment,把Fragment#onCreateView加载的View作为子View放到ViewTree里,并且会把对应的fragment放到Activity#FragmentController里面同一管理,让Fragment拥有自己的声明周期。

+

所以在Activity#setContentView之后,我们就可以使用FragmentManager查找tag为detail的Fragment是否存在,就可以判断加载的是哪一个布局了。

+
protected void onCreate(Bundle savedInstanceState) {
+    super.onCreate(savedInstanceState);
+    setContentView(R.layout.activity_training);
+    originTitle = getTitle().toString();
+    fragment = getSupportFragmentManager().findFragmentByTag("detail");
+    large =  fragment != null;
+}
+

3.Activity与Fragment通信,Fragment与Activity通信

TrainingListFragment与TrainingDetailFragment的职责是单一的,ListFragment显示列表内容,DetailFragment显示具体的内容,他们都不知道对方的存在。

+ +

当ListFragment列表项点击的时候,就需要通知Activity去做相应的操作,就涉及了Fragment需要与Activity通信,可以在getActivity里面获取对应的Activity,并强转为具体的Activity,调用对应的方法。这里有一个耦合性很大的地方就是,获取了指定的Activity。可以在Fragment里面定义一个接口,让对应的Activity实现该接口。

+
public class TrainingListFragment extends ListFragment implements AdapterView.OnItemClickListener {
+
+    //...
+
+    @Override
+    public void onItemClick(AdapterView<?> parent, View view, int position, long id) {
+        Object o = getActivity();
+        if(OnItemClickListener.class.isInstance(o)) {
+            ((OnItemClickListener)o).OnItemClick(position,adapter.getItem(position));
+        }
+    }
+
+    interface OnItemClickListener {
+        void OnItemClick(int position,String title);
+    }
+}
+
+

在Activity实现的OnItemClick方法里面就需要根据前面加载的布局文件判断做怎样的操作。

+

如果当前加载的布局是适合手机显示的,那么页面只有一个ListFragment,那么就需要加载DetailFragment,并且将ListFragment加入过Framgnet的返回栈(Back Stack)里面。

+

如果当前加载的布局是适合平板显示的,那么页面有两个Fragment,就需要通知DeatailFragment更新内容,就涉及到了Activity与Fragment通信。可以通过FragmentManager#findFragmentByTag或者FragmentManager#findFragmentById找到对应的Fragment调用方法,这里同样可以使用接口来减小耦合性,简单起见直接强转对应类型了:

+
public class TrainingActivity extends BaseActivity implements TrainingListFragment.OnItemClickListener{
+
+    //...
+
+    @Override
+    public void OnItemClick(int position,String title) {
+        if(large) {
+            TrainingDetailFragment trainingDetailFragment = (TrainingDetailFragment) fragment;
+            trainingDetailFragment.setDataPosition(position);
+        }else {
+            FragmentTransaction ft = getSupportFragmentManager().beginTransaction();
+            ft.setTransition(FragmentTransaction.TRANSIT_FRAGMENT_OPEN);
+            ft.replace(android.R.id.content,TrainingDetailFragment.newInstance(position));
+            ft.addToBackStack(null);
+            ft.commit();
+            setTitle(title);
+        }
+    }
+}
+

另外需要注意导入Fragment的包,Fragment在support v4 library和android.jar里面都存在,需要统一,并且获取的FragmentManager也要统一,否则会出现莫名其妙的问题,比如返回栈不起作用。

+
参考资料

https://developer.android.com/guide/practices/screens_support.html

+

https://developer.android.com/training/basics/fragments/fragment-ui.html

+ + + + + + \ No newline at end of file diff --git a/2016/07/15/debug-memory-tool/index.html b/2016/07/15/debug-memory-tool/index.html index e69de29..ac24bb9 100644 --- a/2016/07/15/debug-memory-tool/index.html +++ b/2016/07/15/debug-memory-tool/index.html @@ -0,0 +1,86 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 探索Android内存管理-----工具篇 + + + + +

探索Android内存管理—–工具篇

https://developer.android.com/studio/profile/am-hprof.html#why

+

HPRROF Viewer

+

Heap/CPU Profile

+

The HPROF Viewer displays classes, instances of each class, and a reference tree to help you track memory usage and find memory leaks

+

能够分析:
All destroyed activity instances that are reachable from garbage collection roots.
Where the target program has strings that repeat values.

+

原来需要,转换hprof-conv

+

The hprof-conv tool converts the HPROF file that is generated by the Android SDK tools to a standard format so you can view the file in a profiling tool of your choice.

+

Device Monitor:The Heap view shows some basic stats about your heap memory usage, updated after every GC. To see the first update, click the Cause GC button.

+

Tracking Allocations

+ + + + + + \ No newline at end of file diff --git a/2016/07/31/jvm-spec-note-structure/index.html b/2016/07/31/jvm-spec-note-structure/index.html index e69de29..cbf8f1f 100644 --- a/2016/07/31/jvm-spec-note-structure/index.html +++ b/2016/07/31/jvm-spec-note-structure/index.html @@ -0,0 +1,136 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 《JVM规范》(Java SE 7)笔记-----虚拟机结构 + + + + +

《Java虚拟机规范》(Java SE 7)笔记—–虚拟机结构

引言

Java虚拟机可以看做是一台抽象的计算机,如同真实的计算机那样,有自己的指令集以及各种运行时内存区域。Java虚拟机与Java语言没有必然联系,它只与特定的二进制文件即Class文件关联,Class文件包含了Java虚拟机指令(字节码),符号表以及一些需要的辅助信息。任何一种语言只要可以被编译成有效的Class文件,都可以在Java虚拟机上面运行。

+

1.数据类型

Java虚拟机可以操作的数据类型分为两类,原始类型(Primitive Types)与引用类型(Reference Types)。原始类型不需要额外的手段来确定运行期他们实际的数据类型,指令本身就可以确定;引用类型编译器应当在编译期间尽最大努力完成类型检查。

+

2.原始类型与值

原始类型包括数值类型(Numberic Types)、布尔类型(Boolean Type)和returnAddress类型。

+

数值类型:整数类型byte short int long char,浮点类型float double,与IEEE 754格式取值和操作一致。

+

布尔类型:Java虚拟机定义了boolean这种数据类型,但是没有指令支持,涉及到boolean值类型的运算,都会被编译成int类型来代替。

+

returnAddress类型:被指令jsr,jsr_w,ret使用,从JDK7开始虚拟机不允许出现这几条指令,所以不用过于关注。returnAddress类型的值指向一条虚拟机指令的操作码,初衷是用来实现Java语言中的finally语句块。jsr与ret是一起使用的,jsr跳转到指定的offet位置,并将jsr下一条指令压入栈顶,就是retureAddress类型了,使用ret返回到指定的指令位置。参考:)

+

3.引用类型与值

类类型(Class Types) 数组类型(Array Types) 接口类型(Interface Types),分别对应类实例,数组实例,实现某个接口的实例。

+

引用类型值有一个特殊的值null,当一个引用不指向任何对象时,它的值用null表示,可以转换为任意类型,Java虚拟机没有规定null的实现应用用怎样的编码。

+

4.运行时数据区

运行时数据区

+

PC(Program Counter)寄存器:Java虚拟机中每一条线程都有自己的PC寄存器,用来保存当前方法的指令地址(也就是returenAddress类型的值),如果方法是native的,则保存本地指针的值。

+

Java虚拟机栈(Java Virtual Machine Stack):Java虚拟机每一条线程都有私有的栈,用来存储局部变量与一些过程结果的地方,由栈幀(Frames)组成。Java虚拟机栈能够被实现成固定大小或者动态扩展模型。异常情形:(1)如果线程请求分配的栈容量超过Java虚拟机栈允许的最大容量,则抛出StackOverflowError异常 (2)如果Java虚拟机栈能够动态扩展,申请不到内存去创建新的栈,则抛出OutofMemoryError异常。

+

Java堆(Heap) :堆区是线程共享的区域,用分配类实例,数组对象的内存区域。Java虚拟机启动的时候就会被创建,并且分配的内存由GC(Garbage Collector)管理,这些对象无需也无法显示地被销毁。当创建的堆超过了GC能够提供的容量,则会抛OutofMemoryError异常。

+

方法区(Method Aera):Java虚拟机启动时创建,线程共享的内存区域,编译代码(类信息,类方法,成员变量,运行时常量等信息)的存储区域。虽然方法区是堆区的逻辑组成部分,虚拟机实现可以选择是否回收该区域垃圾。方法区内存空间不满足内存分配要求,同样抛出OutOfMemoryError。

+

运行时常量池(Rumtime Constant Pool): 类似符号表,从编译时可以知道的字面量到必须运行是解析后才能知道的方法或者字段引用,位于方法区中,在类和接口被创建,对应的运行时常量池就被创建。

+

本地方法栈(Native Method Stack): 用来支持native方法的执行,在线程创建时分配。和虚拟机栈类似,能够动态扩展,栈容量超过本地方法栈允许最大容量抛StackOverflowError,无法申请到足够的内存去扩展抛OutOfMemoryError。

+

4.栈幀(Frame)

用来存储数据或部分过程结果的数据结构,处理动态链接(Dynamic Linking)、方法返回值、异常分派(Dispatch Exception)。随着方法调用创建,方法结束销毁。每一个栈幀都有自己的局部变量表(Local Variables),操作数栈(Operand Stack)和指向当前方法所属的类的运行时常量池的引用,并且容量是在编译期确定的。

+

栈幀是线程本地私有数据,不可能在一个栈幀之中访问另一条线程的栈幀。

+

局部变量表:局部变量表可以保存前面所述的虚拟机的数据类型,其中两个局部变量保存一个类型为long或double的数据。局部变量表使用索引来访问,可以想象为一个数组的模型,当方法调用时,它的参数从零开始连续的存放在局部变量表示,如果是实例方法,则第0个局部变量一定是调用方法对象的引用(即Java里的this)。

+

操作数栈:后进先出(Last-In-First-Out,LIFO)栈,用来存放Java虚拟的指令执行时操作数以及执行后的结果,操作数栈与局部变量表可以相互转移。在方法调用的时候,操作数栈用来准备调用方法的参数以及接收方法返回结果。

+

每一个栈幀内部都包含一个指向运行时常量池的引用来支持当前方法的代码实现动态链接,方法调用或者访问成员变量时是通过符号引用表示,动态链接的作用就是将符号引用转化为实际的方法引用。

+

5.浮点算法

Java虚拟机中浮点操作在遇到非法操作(如被零整除,上限溢出等)不会抛exception。

+

6.初始化方法

Java虚拟机层面上类实例的构造方法名为,在实例的初始化通过invokespecial指令调用。类和接口的初始化通过,在类加载时由Java虚拟机自身隐式调用,没有任何指令可以调用这个方法。

+

7.异常

异常的本质是程序控制权的一种及时、非局部的转换(从异常抛出的地方转至处理异常的地方)。当前前程抛出的异常称为同步异常,非当前线程抛出的异常为异步异常。虚拟机异常的情形有:

+ +

Java虚拟机执行每一个方法都会配有零至多个异常处理器(Exception Handlers),每个方法的异常处理器都存储在一个表中,在运行时出现异常后,会按照异常处理器的描述执行。

+

8.字节码指令集简介

Java虚拟机的指令有一个字节长度的操作码(Opcode)和操作数(Operands)组成,由于操作码为一个字节,所以虚拟机的字节码指令最后有256条。

+

Java虚拟机解释器伪代码:

+
do {
+    自动计算PC寄存器以及从PC寄存器的位置取出操作码
+    if(存在操作数)取出操作数
+    执行操作码所定义的操作
+}while(处理下一次循环);
+

由于Java虚拟机字节码数量限制,对于特定类型操作只提供了有限的类型相关指令去操作它。多数对于boolean byte short char类的数据操作,实际上都是使用相应对int类型作为运算类型。

+

加载存储指令:用于局部变量表与操作数栈之间来回传输,例如:
istore_1 指令作用是从操作数栈中弹出一个int型的值,并保存在第一个局部变量中
iload_1 指令作用是将第一个局部变量的值压入操作数栈

+

运算指令:用于两个操作数栈上的值进行运算,并把结果重新存入操作数栈栈顶。例如iadd isub,Java虚拟机没有明确规定整型数据溢出情况,但规定除法指令(idiv/ldiv),求余指令(irem和lrem)的除数为零时抛ArithmeitcException异常。

+

类型转换指令:Java虚拟机直接支持宽化类型转换(Widening Numberic Conversions),如int类型到long float double类型,long 到float double类型。 窄化类型转换(Narrowing Numberic Conversions)会导致符号位丢失,精度丢失,指令有i2b i2c f2i f2l等等。

+

对象创建与操作:类实例与数组都是对象,使用不同的指令操作。
创建对象new,创建数组newarray anewarray multinewarray。
访问字段getfield putfield getstatic putstatic
加载数组元素到操作数栈:iaload aaload等
将操作数栈的值存储到数组元素:iastore aastore等
取数组长度的指令arraylength
检查类实例类型的指令instanceof checkcast

+

操作数栈管理:pop pop2 dup dup2 swap等

+

控制转移指令:
条件分支:ifeq iflt…
复合条件分支:tableswitch lookupswitch
无条件:goto goto_w jsr ret..

+

方法调用和返回指令:四条指令用于方法调用,
invokevirtial 调用实例方法
invokeinterface 调用接口方法
invokespecial 调用特殊的实例方法,例如实例初始化方法,私有方法以及父类方法
invodestatic 调用静态方法
方法返回指令 ireturn(同样,boolean byte char short int类型时时候) areturn return(返回类型类void)

+

抛出异常:显式抛出的指令athrow,Java虚拟机检测到指令执行异常由Java虚拟机自动抛出。

+

同步:方法级同步时隐式的,常量池的方法列表里面指令。指令序列同步的关键字 monitorennter monitorexit,对应Java中sychronized的代码块。

+

8.类库

Java虚拟机必须对不同平台下的Java类库提供充分的实现,某些与操作系统密切相关的类库需要Java虚拟机的本地方法来实现:

+ +

9.公有设计,私有实现

虚拟机实现必须能够读取Class文件,并且精确实现虚拟机代码的含义,怎么实现是实现者自己的事情,只要外部接口看起来与规范描述的一样。目前虚拟机实现方式主要有两种:

+ + + + + + + \ No newline at end of file diff --git a/2016/08/06/jvm-spec-note-compile/index.html b/2016/08/06/jvm-spec-note-compile/index.html index e69de29..1535fe6 100644 --- a/2016/08/06/jvm-spec-note-compile/index.html +++ b/2016/08/06/jvm-spec-note-compile/index.html @@ -0,0 +1,510 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 《JVM规范》(Java SE 7)笔记-----虚拟机编译 + + + + +

《Java虚拟机规范》(Java SE 7)笔记—–虚拟机编译

这里的编译是指Java语言编译成Java虚拟机指令集的编译器。指令格式:

+
<index> <opcode> [<operand1> [operand1...]] [<comment>]
+

index为指令操作码的索引,也可以认为相对于方法开始处的偏移量。在表示运行时常量池索引的操作数前会以”#”开头。

+
10 ldc #1 //Push float constant 100.0
+

1.常量、局部变量的使用和控制结构

一个简单的for循环例子,成对应字节码的执行过程,这是一个理解字节码执行比较好的例子。

+
void spin() {
+    int i = 0;
+    for(i = 0; i < 100;i ++ ) { 
+    }
+}
+
+//对应的字节码(编译器实现可能不同)
+
+Method void spin()
+0 iconst_0
+1 istore_1
+2 goto 8
+5 iinc 1 1
+8 iload_1
+9 bipush 100
+11 if_icmplt 5
+
+

jvm_for_loop1

+

iconst_0操作码隐式包含了int类型0操作数,表示将int型0值压入操作数栈,这样不需要专门为入栈操作保存一个立即操作数的值,避免读取解析操作数,简单高效。如果使用bitpush 0将会增加一个字节的长度。类似指令还有 iconst_m1 iconst_1 …iconst_5。

+

jvm_for_loop2

+

istore_1同样隐式包含了int类型1操作数,表示从操作数栈栈顶弹出一个int类型的值,存放到第一个局部变量里面。(为什么是第一个呢,因为这是一个实例方法第0个局部变量永远是当前对象this)。

+

jvm_for_loop3

+

无条件跳转到偏移量为8的指令段执行,第一次循环量i的值是不加的

+

jvm_for_loop4

+

iload_1同样包含隐式操作数,表示将第1个局部变量的值加载到操作数栈,bitpush 100表示将int类型100值压入栈。

+

jvm_for_loop5

+

if_icmplt 5表示将操作数栈弹出,比较两位的值如果i小于100则跳转到偏移量为5的地方执行,否则执行return操作。

+

jvm_for_loop6

+

某些局部变量需要频繁操作,Java虚拟机也做了相应的支持,iinc 1 1的作用是对第1个局部变量加1操作。

+

jvm_for_loop7

+

然后继续重复上面的操作,直到局部变量的值操作100。

+

Java虚拟机是基于栈架构设计的,大多数操作从当前栈幀的操作数栈取出1个或者多个操作数,如果指令有计算结果压入操作数栈。没调用一个方法都会创建一个新的栈幀,并创建对应方法所需的操作数栈和局部变量表。

+

将上面的i的数据类型换成short,double有不同的编译代码,由于Java虚拟机指令不能超过256条,不可能对每种数据类型操作都尽善,例如缺乏对byte char short数据类型直接操作的支持,需要转换为int类型,代价就是将他们长度扩展为4字节。对于浮点型,缺少条件转移指令。

+

2.算数运算

Java虚拟机基于操作数栈来进行算术运算,运算指令的操作数从操作数栈弹出,如果有运算结果会被放回操作数栈(除了前面提到的iinc指令直接对局部变量表进行操作)。

+

3.访问运行时常量池

很多数值常量,对象,字段,方法都是通过当前类的运行时常量进行访问。ldc指令用于访问运行时常量池中的对象,当使用的运行时常量多于256个时,用ldc_w来代替访问。特别地,当访问类型为double和long的运行时常量池项使用ldc2_w。

+

4.更多的控制结构示例

while语句编译:

+
void whileInt(){
+    int i = 0;
+    while(i < 100) {
+        i++;
+    }
+}
+
+//编译后的代码
+
+ 0: iconst_0
+ 1: istore_1
+ 2: iload_1
+ 3: bipush        100
+ 5: if_icmpge     14
+ 8: iinc          1, 1
+11: goto          2
+14: return
+

虚拟机对各种数据结构的控制结构采用了相似的方式编译,只是根据不同数据类型使用不同的指令访问。这么做多少会使编译代码效率降低,需要更多的指令来实现相应的数据类型判断。浮点型数据的比较指令:float—–fcmpl和fcmpg,double—–dcmpl和dcmpg,语义相似,对待NaN(Not A Number)变量时有所区别,具体参考指令描述。

+

5.接收参数

如果传递了n个参数给某个实例方法,则当前的栈幀做将它他们保存到第1个到第n个局部变量中,因为第0个局部变量时当前对象的引用this。如果是静态方法则从第0个局部变量开始。

+

实例方法:

+
int add(int i,int j) {
+        return i + j;
+}
+
+//-------------------
+
+ 0: iload_1
+ 1: iload_2
+ 2: iadd
+ 3: ireturn
+

静态方法:

+
static int sub(int i,int j) {
+    return i - j;
+}
+
+//-------------------
+
+0: iload_0
+1: iload_1
+2: isub
+3: ireturn
+
+

6.方法调用

invokevirtual 普通方法实例调用根据运行时对象类型进行分派,也就是多态:

+
int add2(int i,int j) {
+    return add(i,j);
+}
+
+//-----------------------
+ 0: aload_0
+ 1: iload_1
+ 2: iload_2
+ 3: invokevirtual #8                  // Method add:(II)I
+ 6: ireturn
+

aload_0加载局部变量this到操作数栈,iload_1 iload_2加载第1个局部变量和第二个局部变量到操作数栈,invokevirtual调用实例方法,ireturn会把当前操作数栈的栈顶值(就是add(int,int)方法的返回值)压入调用add2()方法的操作数栈,然后切换栈幀。

+

invokestatic指令用于调用类的静态方法,比较类似,操作数栈里面不需要this变量:

+
int add3(int i,int j){
+    return addStatic(i,j);
+}
+
+int addStatic(int i,int j) {
+    return i + j;
+}
+
+//-------------------------
+// int add3(int, int);
+ 0: iload_1
+ 1: iload_2
+ 2: invokestatic  #9                  // Method addStatic:(II)I
+ 5: ireturn
+

invokespecial用来调用父类方法和私有方法。

+

7.类实例

Java虚拟机创建类实例通过 new 关键字创建,并且会调用虚拟机层面上的初始化方法:

+
Object createInstance() {
+    return new Object();
+}
+
+//-------------------
+ 0: new           #3                  // class java/lang/Object
+ 3: dup
+ 4: invokespecial #1                  // Method java/lang/Object."<init>":()V
+ 7: areturn
+

如果有类实例有字段则通过putfield来赋值,并且在构造方法里面会显式调用父类的的构成方法:

+
public Hello(int age) {
+    this.age = age;
+}
+
+//---------------------
+
+ 0: aload_0
+ 1: invokespecial #1                  // Method java/lang/Object."<init>":()V
+ 4: aload_0
+ 5: iload_1
+ 6: putfield      #2                  // Field age:I
+ 9: return
+

8.数组

使用newarray指令创建基本类型数组:

+
public int[] createIntArray() {
+    int[] a = new int[10];
+    a[0] = 1;
+    return a;
+}
+//---------------------
+ 0: bipush        10
+ 2: newarray       int
+ 4: astore_1
+ 5: aload_1
+ 6: iconst_0
+ 7: iconst_1
+ 8: iastore
+ 9: aload_1
+10: areturn
+

iastore赋值之后会将三个元素都出栈,引用类型的aastore也是类似。

+

使用anewarray创建引用类型数组:

+
public Object[] createObjArray() {
+    Object[] objects= new Object[10];
+    objects[0] = this;
+    return objects;
+}
+
+//-------------------------
+ 0: bipush        10
+ 2: anewarray     #3                  // class java/lang/Object
+ 5: astore_1
+ 6: aload_1
+ 7: iconst_0
+ 8: aload_0
+ 9: aastore
+10: aload_1
+11: areturn
+

使用multianewarray指令创建多维数组:

+
public int[][] createMultiIntArray() {
+    int[][] a = new int[5][5];
+    a[0][0] = 1;
+    return a;
+}
+
+//--------------------
+0: iconst_5
+ 1: iconst_5
+ 2: multianewarray #12,  2            // class "[[I"
+ 6: astore_1
+ 7: aload_1
+ 8: iconst_0
+ 9: aaload
+10: iconst_0
+11: iconst_1
+12: iastore
+13: aload_1
+14: areturn
+

9.编译switch语句

编译器会通过分支条件判断采用tableswitch或lookupswitch指令,当分支条件密集采用tableswitch来编译,类似数组索引的方式,只需要一次查找:

+
public int choose(int index){
+    switch(index) {
+        case 0:
+            return 0;
+        case 1:
+            return 2;
+        case 2:
+            return 3;
+        default:
+            return -1;
+    }
+}
+
+//------------------------------------------
+ 0: iload_1
+ 1: tableswitch   { // 0 to 2
+
+               0: 28
+
+               1: 30
+
+               2: 32
+         default: 34
+    }
+28: iconst_0
+29: ireturn
+30: iconst_2
+31: ireturn
+32: iconst_3
+33: ireturn
+34: iconst_m1
+35: ireturn
+

当分支条件值比较稀疏时,tableswitch指令空间使用率比较低。这种情况就会使用lookupswitch指令来代替,Java虚拟机会指令的索引表进行排序,采用非线性的搜索来(如二分法)确定key值:

+
public int choose(int index){
+    switch(index) {
+        case 0:
+            return 0;
+        case 100:
+            return 2;
+        case 200:
+            return 3;
+        default:
+            return -1;
+    }
+}
+
+//---------------------------
+
+ 0: iload_1
+ 1: lookupswitch  { // 3
+
+               0: 36
+
+             100: 38
+
+             200: 40
+         default: 42
+    }
+36: iconst_0
+37: ireturn
+38: iconst_2
+39: ireturn
+40: iconst_3
+41: ireturn
+42: iconst_m1
+43: ireturn
+

注意,虚拟机中指令tableswitch和lookupswitch分支条件的值类型只能为int,Java语言中支持其他类型值的switch都会通过某些方式的转换变成int类型。

+

例如,在Java SE7 中,可以使用String来作为switch的分支条件,其实是转换为hashcode来实现的,所以这里就会有一个坑,如果字符串的hashcode的值一样就会出现分支判断错误的情况,所以在比比较String的时候,使用if-else结合equals来判断比较好。

+

使用操作数栈

Java虚拟机是基于栈架构的,很多指令操作的对象都是操作数栈,比如前面的算数运行,方法的调用,都是在操作数栈进行的,下面一个是成员变量自增的操作。

+
int index = -1;
+
+public void setIndex() {
+    index++;
+}
+
+//-----------------
+ 0: aload_0
+ 1: dup
+ 2: getfield      #2                  // Field index:I
+ 5: iconst_1
+ 6: iadd
+ 7: putfield      #2                  // Field index:I
+10: return
+
+

题外话,从这里编译的字节码可以看得出i++并不是原子性的操作,类似的还有new关键字

+
+

注意操作指令不允许操作那些不可拆分的操作数,例如double,long类型的操作数。

+

抛异常与异常处理

虚拟机抛异常通过指令athrow来实现,先初始化异常类,然后athrow指令抛出。athrow操作数栈顶值必须是一个指向Throwable或者其类型实例的引用。

+
public int testThrowEx(int i) {
+    if(i == 0) {
+        throw new RuntimeException();
+    }
+    return i;
+}
+
+//----------------------
+
+ 0: iload_1
+ 1: ifne          12
+ 4: new           #14                 // class java/lang/RuntimeException
+ 7: dup
+ 8: invokespecial #15                 // Method java/lang/RuntimeException."<init>":()V
+11: athrow
+12: iload_1
+13: ireturn
+

对于异常处理,每个try-catch语句块都会对应一个异常处理器,由异常处理器组成一个异常表:

+
public int testCatchEx(int i) {
+    try {
+        testThrowEx(i);
+    }catch(RuntimeException e){
+        i++;
+    }catch(Exception e){
+        i--;
+    }
+    return i;
+}
+
+//---------------
+ 0: aload_0
+ 1: iload_1
+ 2: invokevirtual #16                 // Method testThrowEx:(I)I
+ 5: pop
+ 6: goto          20
+ 9: astore_2
+10: iinc          1, 1
+13: goto          20
+16: astore_2
+17: iinc          1, -1
+20: iload_1
+21: ireturn
+  Exception table:
+ from    to  target type
+     0     6     9   Class java/lang/RuntimeException
+     0     6    16   Class java/lang/Exception
+
+

注意,这里异常表的偏移量包含了from,并不包含to,也就是try-catch语句块偏移量 index >= from ,index < to。

+

编译finally语句块

早期的虚拟机版本finally语句块的实现是使用jsr,jsr_w,ret来实现,Java 7开始就禁止出现jsr,jsr_w指令。所以异常处理器就使用了新的方式实现,一个带finally语句块的try语句,在编译的时候会生成一个特殊的异常处理器any,这个异常处理器会捕获所有异常,

+
public int testCatchEx(int i) {
+    try {
+        testThrowEx(i);
+    }catch(RuntimeException e){
+        i++;
+    }catch(Exception e){
+        i--;
+    }finally {
+        i++;
+    }
+    return i;
+}
+
+//-------------------------
+ 0: aload_0
+ 1: iload_1
+ 2: invokevirtual #16                 // Method testThrowEx:(I)I
+ 5: pop
+ 6: iinc          1, 1
+ 9: goto          38
+12: astore_2
+13: iinc          1, 1
+16: iinc          1, 1
+19: goto          38
+22: astore_2
+23: iinc          1, -1
+26: iinc          1, 1
+29: goto          38
+32: astore_3
+33: iinc          1, 1
+36: aload_3
+37: athrow
+38: iload_1
+39: ireturn
+  Exception table:
+ from    to  target type
+     0     6    12   Class java/lang/RuntimeException
+     0     6    22   Class java/lang/Exception
+     0     6    32   any
+    12    16    32   any
+    22    26    32   any
+

try语句块,catch语句块,执行结束后都会执行finally里面的指令。

+

同步

方法级的同步的通过设置方法的ACCESS_FLAGS来隐式指定,对应的flag为ACC_SYNCHRONIZED:

+
public synchronized void setIndex() {
+    index++;
+}
+
+//-----------------
+
+public synchronized void setIndex();
+    descriptor: ()V
+    flags: ACC_PUBLIC, ACC_SYNCHRONIZED
+
+

同步语句块通过monitorenter,monitorexit来实现,两指令的操作数都必须为对象的引用类型,任何一个对象都有一个monitor与之关联,当线程执行到monitorenter指令时,指令会尝试获取对象对应的monitor的所有权,如果monitor的计数器为0,那么线程将持有对象的monitor,如果其他线程已经持有monitor,那么当前线程将会被阻塞,直到其他线程释放对象的monitor。 如果当前线程已经持有,那么monitor的计数器加1。

+

monitorexit则是当monitor的计数器为0时,则释放monitor对象。

+
public void setIndex() {
+    synchronized(this) {
+        index++;
+    }
+}
+
+//------------------
+
+ 0: aload_0
+ 1: dup
+ 2: astore_1
+ 3: monitorenter
+ 4: aload_0
+ 5: dup
+ 6: getfield      #2                  // Field index:I
+ 9: iconst_1
+10: iadd
+11: putfield      #2                  // Field index:I
+14: aload_1
+15: monitorexit
+16: goto          24
+19: astore_2
+20: aload_1
+21: monitorexit
+22: aload_2
+23: athrow
+24: return
+  Exception table:
+ from    to  target type
+     4    16    19   any
+    19    22    19   any
+
+

无论方法是正常调用结束,还是异常调用结束,monitorexit都必须配对执行。

+

注解

注解保存在Class文件RuntimeVisibleAnnotations和RuntimeInvisibleAnnotations属性中,例如:

+
@Deprecated
+public void setIndex() {
+
+}
+
+//----------------------
+public void setIndex();
+    descriptor: ()V
+    flags: ACC_PUBLIC
+    Code:
+      stack=0, locals=1, args_size=1
+         0: return
+      LineNumberTable:
+        line 104: 0
+    Deprecated: true
+    RuntimeVisibleAnnotations:
+      0: #57()
+
+
+ + + + + \ No newline at end of file diff --git a/2016/09/05/reading/index.html b/2016/09/05/reading/index.html index e69de29..6fb8be7 100644 --- a/2016/09/05/reading/index.html +++ b/2016/09/05/reading/index.html @@ -0,0 +1,122 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 读书计划 + + + + +

读书计划

工作两年了有余,越发越感觉CS基础知识太重要,必须花时间啃一下,计划花半年到一年时间把CSAPP CLRS SICP 这三本书啃一遍,CSAPP已经读了1/4:)。这些基础的东西现在不读以后真没机会去读了,希望能坚持下去。

+

2017年5月14日

时隔半年,记录一下这半年来读过的书吧:

+ +

从最基本二进制对数据类型的表示开始讲述,到操作系统的VM,IO等相关的知识,可以对计算机系统有个大体的认识。当进入一个新的技术领域,我认为首先从宏观的角度理解比较重要,所有的系统原理都离不开它,以防一开始就陷入的细节的泥潭,导致见树不见林。
之前读的是第二版pdf,目前书已经出到了第三版,打算买一本再读一遍。

+ +

这本书是C语言之父写的,对于学习与加深理解从C语言衍生的其他计算机语言都很有帮助,翻译也很棒,内容非常精炼,必须要逐句地去读,尽可能理解每一句话,在讲解C语言的同时还包含了一些算法,操作系统的相关知识。第一遍读的囫囵吞枣,已经在用逐句的方式来读第二遍了,阿门。技术书籍都能像这本书一样言简意赅,那该多美好!

+ +

Java并发库concurrent包的作者也参与了这本书,所以这本书应该有一定的权威吧。对于日常开发多线程的项目,理解里面的大部分内容,应该能够少掉坑。

+ +

对于没接触过TCP/IP的同学,这本书是极佳的入门书,可以大致了解TCP/IP协议都做了些什么,如果你的好奇心很强,里面有的地方讲得确实有点含糊,那么你就应该去读下一本书了

+ +

Stevens大神的TCP三卷之一,其中TCP的部分我认为是这本书最经典的一部分,从TCP的连接开始,到交互数据流,块数据流,再对通过TCP几个定时器讲解TCP里面的技术要点:重传,快速重传,拥塞,慢启动,keepalive等等。对设计应用层的协议会有很好的帮助,或者想基于UDP设计可靠的应用层协议。后面讲解的一些协议如Telnet,FTP,SMTP还没有看完~

+ +

对以前开发涉及HTTP协议算是做了一下回顾,里面也涉及到了TCP的相关知识,主要是一些优化的内容。如果理解了TCP/IP基本的相关知识,这本书里面的内容都很好理解,HTTP本质就是基于TCP协议的请求响应模型字符串协议。我想正是由于它比较简单,所以在统治了整个Web吧。后面三四章实在没办法看下去了,略过~

+ +

对于涉及日常开发的密码学知识够用了,里面的讲解通俗易懂,并且没有涉及到代码。由于之前做的项目涉及一些授权认证,加密相关的,可以对其进行了一个很好的梳理。

+ +

一点也不权威呐,这本书原来的名字不是这个,被出版社修改了,原来叫<< Bulletproof SSL and TLS >> (坚不可摧的TLS和SSL),对于理解SSL在做什么还是有一定帮助,以及PKI的那一套东西。 SSL/TLS相关的书籍太少了,要想真正理解,还是得看rfc。

+ +

相见恨晚的一本书,对垃圾回收的概念,Class文件格式,以及类加载等有了一个直观的认识,之前直接读虚拟机规范,看得一头雾水。

+ +

必备技能,里面有一些很实用的小技巧,可以看一下。

+

后记

看的书也不算多,很多看完一段时间之后里面的内容就很模糊了,特别是以前项目如果没有接触过,那就直接记不得了,所以还是需要用实践来强化这些从书本上学到的知识。所以就需要在看书与写代码之间要有一个权衡才行,一味的看书或者一味地写代码都会得不偿失。并且,CS经典的数据是需要反复认读的,也算终于明白有一些大牛是不写博客的,一方面是太忙没时间,另一方面这些东西经典的书上都有,写出来只不过复述一遍而已,还有就是一些设计项目的细节,由于公司信息安全方面的规定,不太好分享出来。

+

当然,看的书也不止这些技术书籍,期间也还看了海贼王,龙珠Z,算是对小时候没看过的弥补吧~

+

年中打算换工作,目前项目进入维护阶段事情就比较少,由于每天基本不用加班,所以这半年才有点时间看书。工作上的事早已没有挑战性,流程太重,难免想踏实干活的人们多少会有些厌烦。 生活过得太安逸真的不是好事,需要东西来驱动自己进步,至少对于像我这种危机感很强并且能力又不是特别突出的猿们。Best Wish!

+ + + + + + \ No newline at end of file diff --git a/2017/05/14/quick-sort/index.html b/2017/05/14/quick-sort/index.html index e69de29..873a9cc 100644 --- a/2017/05/14/quick-sort/index.html +++ b/2017/05/14/quick-sort/index.html @@ -0,0 +1,117 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 快速排序的另一种简单写法 + + + + +

快速排序的另一种简单写法

最近在看TCPL,第四章的函数与程序结构里面有一个快速排序的例子,并且几句话就把快速排序总结了,非常精炼。快速排序利用的是分治的思想(Divide Conquer),理解了分治,就能理解快排。这里记录一下,并且讲解一下程序的原理。

+
+

对于一个给定的数组,从中选择一个元素,以该元素为界将其余元素划分为两个子集,一个子集中的所有元素都小于该元素,另一个子集中的元素都大于或等于该元素。对这两个子集递归执行这一过程当子集中的元素小于2时,这个子集就不需要再次排序,终止递归。

+
+
static void sortRecursively(int[] arr, int left, int right) {
+    if (left >= right) {
+        return;
+    }
+    int pivot = (left + right)/2;
+    swap(arr, left, pivot);
+    int last = left;
+    for (int i = left + 1; i <= right; i++) {
+        if (arr[left] > arr[i]) {
+            swap(arr, ++last, i);
+        }
+    }
+    swap(arr, left, last);
+    sortRecursively(arr, left, last - 1);
+    sortRecursively(arr, last + 1, right);
+}
+
+

其中交换数组元素的代码被抽取出来:

+
static void swap(int[] arr, int k, int j) {
+    int tmp = arr[k];
+    arr[k] = arr[j];
+    arr[j] = tmp;
+}
+

首先选取枢纽点,这里选取的是元素中心位置,然后交换到最左侧的left,这样做的目的便于后面双指针的移动。

+

quick_sort1

+

交换后并定义last指针指向left位置,这里的last指针表示last之前并且包括last的元素都小于枢纽元素pivot。

+

quick_sort1

+

之后便开始通过对比枢纽元素与枢纽元素后面的元素,将小于枢纽元素的元素交换到前面,并移动last指针,由于24与67都比23大,所以last就保持不变,也没有任何交换的操作。

+

quick_sort1

+

当遇到i移动到3的时候,便交换24与3,并且移动last指针指向3。

+

quick_sort1

+

之后继续移动i,直到最后一个元素。这样,last之前的元素都小于枢纽元素,last之后的元素都大于等于枢纽元素。

+

quick_sort1

+

quick_sort1

+

然后再恢复划分的子集,让枢纽元素之前的子集和枢纽元素之后的子集分别递归调用排序,递归的终止条件就是子集只有一个元素的时候,这时子集当然是有序的。这样就完成了对整个数组的排序。

+

对于快速排序排序还有一些复杂的细节,比如枢纽元素的选择等。关于时间复杂度与空间复杂度的分析可以参考维基百科

+ + + + + + \ No newline at end of file diff --git a/2018/01/28/mtp/index.html b/2018/01/28/mtp/index.html index e69de29..64e07f6 100644 --- a/2018/01/28/mtp/index.html +++ b/2018/01/28/mtp/index.html @@ -0,0 +1,172 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + MTP协议总结与Android源码分析 + + + + +

MTP协议与Android源码分析

前段时间有做MTP协议扩展的相关的内容,在这里总结一下。

+

(注意协议方面有很多细节一篇简短的文章是不可能面面俱到,这里只是学习总结,本人接触协议的时间也不是很长,难免有纰漏,有错误之处请不吝指教)。

+

协议部分

概述

Media Transfer Protocol即媒体传输协议,主要是用来管理移动设备上的图片、视频、音频等媒体信息,典型的有Android设备,相机设备。

+

MTP协议是应用层协议,底层协议可以走USB或TCP/IP协议,只要能够无差错传输即可。

+

tcp_underlying

+

MTP协议框架上面定义了很多多媒体相关的命令,例如获取设备信息,获取对象信息,本文着重介绍MTP协议框架,然后举例特定的命令帮助理解。

+
协议模型

MTP协议有两个角色,类似于客户端与服务端,在MTP协议里面有特定的称号,发起请求的叫Initiator,对请求进行响应的叫Responder。Initiator通常对应于PC/MAC宿主机,Responder对应于被管理的设备,例如Android手机。任何操作都需要Inititaor发起,然后Reponder进行响应。

+

Initiator对Reponder的大多数请求都是需要打开一个Session会话,类似于HTTP里面的Session,用于保存上下文相关的环境信息,例如,在MTP传输媒体文件过程中,Inititor传输媒体文件到Reponder是需要发送两次请求才能完成的,第一次请求发送SendObjectInfo的消息,告诉Reponder即将要发送的媒体信息,包括大小,格式,媒体文件名称等;第二次请求发送SendObject传输实际的文件,在这两次请求中第二次请求需要使用第一次请求保存的相关信息,所以就需要保持在一个Session会话里面。MTP按理论上说是可以支持多Session会话的。

+

还有另一个关键的概念,就是Transaction,对应于Initiator发起请求,然后数据传输,Responder响应一次完整的过程,有点类似于数据库里面的事务,比如Initiator发起一次请求,在Reponder没有响应之前,是不能进行另一次请求。所以在USB单Session实现中,Initiator是不能同时发送多次请求的。

+
传输模型

前面介绍到Transaction对应于Initiator发起请求,然后数据传输,Responder响应。所以对于的请求,数据,响应传输分为三个阶段:

+ +

其中Data Phase是可选的,并且是单向的。
单向的定义就规定了Data Phase的数据流要么是Initiator到Reponder(以下简称I->R),要么是Reponder到Initiator(以下简称R->I)。
MTP协议也规定Data Phase是可选的,就是意味着Initiator发送完成请求后,Reponder就直接响应,不需要传输数据,因为有的MTP消息不需要传输数据,Request与Repond本身就可以传递少量的参数。

+

下图就是传输的三种情况:

+

mtp_transfer_i-r

+

mtp_transfer_i-r

+

mtp_transfer_i-r

+

数据流的字段是有Request的字段OperationCode决定的,根据不同的功能决定Data阶段的数据流向。比如Initiator读取媒体信息GetObjectInfo的数据流向就是R->I;Initiator发送媒体文件信息SenObjectInfo的数据流向就是I->R; 读取设备上媒体文件的个数GetObjectNum由于Reponse中携带的参数已经能够满足表示数量,所以就不需要Data Phase。

+

下面来说一下Request与Reponse的Dataset,用来表示能够携带哪些参数。Request与Response的Dataset是一样的。需要特别注意的是,不同的底层协议对于Dataset的存放方式是不同的,MTP SEPC只给出的是USB的实现方式。

+

mtp_req_resp_dataset

+

最关键的是操作码OperationCode定义Request请求要进行什么样的操作,MTP Responder 该处理什么样的任务,然后根据功能决定Data的数据流向。
对于USB来说是单Session的实现方式,在其实现的数据集是不包含sessionID这个字段的,但是在发送大多数Request之前,也还是需要发送OpenSession这个Request请求。

+

TransactionID由Initiator指定,在一次完整的Request到Response都要指定相同的值,不需要每一次都相同。

+

Request与Response可以携带0到5个参数,根据OperationCode的功能来决定。

+

还有一种比较特殊的消息就是Reponder可以直接发送Event给Initiator,用来通知Initiator,Reponder出现了一些状况或者发生了一些变化,可以与Transaction关联,也可以不可Transaction关联,根据Event的事件来定。比如设备上新增了一条媒体文件的信息,就需要通过Event事件来通知Initiator来更新。

+

mtp_transfer_event

+

Event是不能传递二进制数据的,只能携带0到3个参数,其Dataset为:

+

mtp_transfer_event_dataset

+

常用功能的Request与Reponse的OperationCode,Event的EventCode,在MTP Spec规格文档里面有定义,不同的Code对应什么样含义以及携带什么样的参数,还给出了要厂商可以扩展的Code范围。

+

之前看Android源码的时候就有点懵,spec上面的定义的Dataset与源码里面的对不上,后来看到sepc文档最后的这个表格才知道不同的实现方式数据的存放是不一样的,下面这个就是USB定义的MTP数据包,Request,Data,Response都要携带定义的头部信息,Initator与Responder都要读取USB数据包来解析MTP数据包。

+

mtp_transfer_usb_container_dataset

+

Request与Response的Payload就是携带的那0到5个参数,Data的Payload就是二进制数据,可能是媒体文件,也有可能是自定义的数据格式。

+
对象模型

mtp_transfer_objectinfo.png

+

StorageID:对应一个设备上的存储分区,表现形式就是无符号32位的整数uint32, 高16位表示存储设备,低16位表示对应存储设备的分区。例如Android设备,有内部存储与外置SD卡,SD卡可能有多个分区,就对应不同的StorageID。

+

ObjectHandle:实际就是一个int32的对象id,对应设备上的一个个媒体文件对象,可能是文件夹或者是媒体文件,MTP读取文件或者发送文件都需要这个id,其通常包含一个父Object,类似于文件系统的目录树,根路径的值比较特殊,0xFFFFFFFF

+

ObjectFormat:媒体类型

+

….其余的不难理解,需要时查询文档

+

源码部分

Android源码的处理过程:

+

处理MTP请求的应用就是提供媒体数据库的MediaProvider,对应的包名为com.android.providers.media,对于源码树的位置packages/providers/MediaProvider。
其本身是一个系统应用,在AndroidManifest里面监听USB状态变化的广播:

+
<receiver android:name=".MtpReceiver">
+   <intent-filter>
+        <action android:name="android.intent.action.BOOT_COMPLETED" />
+   </intent-filter>
+   <intent-filter>
+        <action android:name="android.hardware.usb.action.USB_STATE" />
+   </intent-filter>
+</receiver>
+

当连上USB数据线,就会将MtpService.java启动,然后加载动态库,开启一个线程,jni调用MTPServer.cpp的run方法,不断地从mtp驱动读消息,处理,响应。而MTP的Object对应的就是文件数据里面的一个个文件。

+

mtp_transfer_mtpserver_main_flow

+

MtpServer.cpp的run方法:

+
void MtpServer::run() {
+    int fd = mFD;//打开的mtp驱动文件描述符
+
+    while (1) {
+        int ret = mRequest.read(fd);//读取Request请求,放到mRequest封装的类里面
+        //...
+        MtpOperationCode operation = mRequest.getOperationCode();
+        MtpTransactionID transaction = mRequest.getTransactionID();
+
+
+
+        // FIXME need to generalize this
+        bool dataIn = (operation == MTP_OPERATION_SEND_OBJECT_INFO
+                    || operation == MTP_OPERATION_SET_OBJECT_REFERENCES
+                    || operation == MTP_OPERATION_SET_OBJECT_PROP_VALUE
+                    || operation == MTP_OPERATION_SET_DEVICE_PROP_VALUE);//根据OperationCode来处理Data Phase的数据流向
+        if (dataIn) {
+            int ret = mData.read(fd);
+            //...
+        } else {
+            mData.reset();
+        }
+
+        if (handleRequest()) {//handleRequest根据不同的OperationCode功能处理不同的任务
+            if (!dataIn && mData.hasData()) {
+                mData.setOperationCode(operation);
+                mData.setTransactionID(transaction);
+                ALOGV("sending data:");
+                ret = mData.write(fd);
+            }
+
+            mResponse.setTransactionID(transaction);
+
+            ret = mResponse.write(fd);//响应
+            const int savedErrno = errno;
+        } else {
+            ALOGV("skipping response\n");
+        }
+    }
+    //....
+
+}
+

对照MTP SEPC文档的附录接口看代码比较简单,就是读取解析结构化数据或者封装需要发送的结构化数据,但是有一点需要特别注意,
处理发送文件与读取文件的操作不是在用户空间完成的,而是通过IOCTL,调用驱动接口在内核空间完成,这样会比较高效,不用再用户空间拷贝一份处理给内核空间,而是有内核空间直接发送。

+ + + + + + \ No newline at end of file diff --git a/2018/04/05/gate/index.html b/2018/04/05/gate/index.html index e69de29..1bf1986 100644 --- a/2018/04/05/gate/index.html +++ b/2018/04/05/gate/index.html @@ -0,0 +1,381 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 使用数字电路的基础逻辑门搭建计算机 + + + + +

使用数字电路的基础逻辑门搭建计算机

+

逻辑门(Logic Gates)是在集成电路(Integrated Circuit)上的基本组件。简单的逻辑门可由晶体管组成。这些晶体管的组合可以使代表两种信号的高低电平在通过它们之后产生高电平或者低电平的信号。高、低电平可以分别代表逻辑上的“真”与“假”或二进制当中的1和0,从而实现逻辑运算。

+
+

此外,逻辑门也可以使用继电器实现,早期的计算机就是使用它来完成的。

+

基础逻辑门

先介绍基本的逻辑门,并附上它们的真值表,虽然很简单,但是计算机复杂的功能都是由这些简单的逻辑门组成的。

+
与门(AND Gate)

与门

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ABout
000
010
100
111
+

即只有同时输入都为真是,输出才为真,门里面的真假值是使用高低电平来表示的,例如0V为低电平表示假,5V为高电平表示为真, A,B表示输入,out表示输出。

+
或门(OR Gate)

或门

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ABout
000
011
101
111
+

即有一个为真,输出就为真。

+
非门(NOT Gate)

非门

+ + + + + + + + + + + + + + + + + +
Aout
01
10
+

即输入与输出相反

+

其实到这里,逻辑基本的门就已经介绍完了,剩下的门只不过这三种门的组合。

+
或非门(NOR Gate)

或非门

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ABout
001
010
100
110
+

由或门,非门组成,只有两个输入都为假时,输入才为真。

+
与非门(NAND Gate)

与非门

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ABout
001
011
101
110
+

由与门,非门组成,只有两个输入都为真时,输出才为假。

+
异或门(XOR Gate)

异或门1

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ABout
000
011
101
110
+

异或门由或门,与非门,与门组成,有特定的电气符号:

+

异或门2

+

二进制加法器

利用上面介绍的基础逻辑门,就可以实现二进制加法器,先来看一下一位的二进制加法器怎么实现。
一位二进制加法很简单,可以将结果分为进位位与加和输出为:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ab加和位进位
0000
0110
1010
1101
+

观察加和位的输出与进位的输出,加和位可以使用异或门来实现,进位可以使用与门来实现,将这两个门连接在一起就是这个样子:

+

半加器1

+

刚好和上面的真值表的输出一致。

+

这个被称为半加器,因为大多数二进制加法都是多于一位的,要考虑其低位的进位。

+

为了简单,简化的半加器的符号:

+

半加器2

+

利用两个半加器就可以组成一个全加器:

+

全加器1

+

为了简单,简化的全加器的符号:

+

全加器2

+

得到了这全加器,很容易就可以扩展二进制加法器的位数8位,16位,32位….例如扩展为8位,8个全加器“串联”在一起即可,每一位的进位输出是下一位的进位输入。下图表示8位的加法器图示:

+

8位加法器

+

二进制减法的实现

由于二进制的减法涉及借位复杂的操作,实现起来电路较为复杂,通常是利用加法来实现,没错了,就是利用将减数求补码与被减数相加来实现,可以将符号位与数值域统一处理。下面介绍实现的原理。

+
求253-176的运算结果:
+
+  1111 1101 - 1011 0000
+= 1111 1101 - 1011 0000 + 1 0000 0000 - 1 0000 0000
+= 1111 1101 - 1011 0000 + 1111 1111 + 1 - 1 0000 0000
+= 1111 1101 + (1111 1111 - 1011 0000 + 1) - 1 0000 0000
+//被括弧的这个式子就是176的补码
+= 1111 1101 + 0100 1111 + 1 - 1 0000 0000
+//其实加法器只做到了这一步,进位后最高为溢出,剩下的就是我们想要的结果
+= 1 0100 1101 - 1 0000 0000
+= 0100 1101
+
+

所以我们只需要在原来加法器的基础上,将减数进行补码运算即可。

+

8位减法器

+

RAM实现

上面我们已经完成了二进制的加法与减法,现在我们需要将我们的运算结果存储起来。

+
振荡器(时钟)

我们将非门的输入与输出连接起来,得到这样的一个电路:

+

振荡器

+

由于非门是利用继电器的机制实现的,所以这个电路出现01交替的输出,频率取决于非门通断的速度。

+

可以得到这样一个过程:

+

振荡器输出

+
RS触发器

可以使用触发器来保存位的信息,能够保存一位的信息,就可以扩展到保存多位的信息。

+

RS触发器的电路如下,由两个或非门组成:

+

RS触发器

+

真值表:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
SRQQ`
1010
0101
00QQ`
11NANA
+

输入端S可以用来置位,输入端R可以用来复位。当我们向输入端输入信息之后,RS触发器就可以记住其状态。

+

待续。。。

+ + + + + + \ No newline at end of file diff --git a/2018/04/23/ss/index.html b/2018/04/23/ss/index.html index e69de29..7ea67df 100644 --- a/2018/04/23/ss/index.html +++ b/2018/04/23/ss/index.html @@ -0,0 +1,140 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Ubuntu 14.04 x64 搭建SS服务 + + + + +

Ubuntu 14.04 x64 搭建SS服务

最近找到一个比较好的梯子,速度也很快,可以看YOUTU,而且可以按月付,不用担心跑路,最便宜的套餐只要¥10!

+

每次科学上网的ip出现了问题,就需要去销毁原来的服务器,重新申请ip,然后又重新搜一遍ss搭建的流程,下次不搜了,自己记录一下,后续有时间打算弄个脚本。(已有现成的脚本https://github.com/teddysun/shadowsocks_install)

+

shadowsocks 服务器安装

更新软件源

+
sudo apt-get update
+

然后安装 PIP 环境

+
sudo apt-get install python-pip
+

直接安装 shadowsocks

+
sudo pip install shadowsocks
+

运行 shadowsocks 服务器

配置文件进行配置,方法创建/etc/shadowsocks.json文件,填入如下内容:

+
{
+    "server":"",
+    "server_port":10086,
+    "local_address": "127.0.0.1",
+    "local_port":1080,
+    "password":"",
+    "timeout":30000,
+    "method":"aes-256-cfb"
+}
+

各字段的含义:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
nameinfo
server服务器 IP (IPv4/IPv6),注意这也将是服务端监听的 IP 地址
server_port服务器端口
local_port本地端端口
password用来加密的密码
timeout超时时间(秒)
method加密方法,可选择 “bf-cfb”, “aes-256-cfb”, “des-cfb”, “rc4″, 等等。默认是一种不安全的加密,推荐用 “aes-256-cfb”
+

创建完毕后,赋予文件权限:

+
sudo chmod 755 /etc/shadowsocks.json
+

为了支持这些加密方式,你要需要安装

+
sudo apt–get install python–m2crypto
+

然后使用配置文件在后台运行:

+
sudo ssserver -c /etc/shadowsocks.json -d start
+

配置开机自启动

bash shell 启动时会执行/etc/rc.local这个脚本,所以在该脚本里面加入启动命令,就可以实现自启动。

+
sudo vi /etc/rc.local
+

在 exit 0 这一行的上边加入如下

+
/usr/local/bin/ssserver –c /etc/shadowsocks.json
+
+ + + + + \ No newline at end of file diff --git a/2018/05/01/binder_question/index.html b/2018/05/01/binder_question/index.html index e69de29..4feef0f 100644 --- a/2018/05/01/binder_question/index.html +++ b/2018/05/01/binder_question/index.html @@ -0,0 +1,89 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 阅读Binder代码的一些疑问 + + + + +

阅读Binder代码的一些疑问

1.BinderInternal.getContextObject(null)的时候,有没有发binder命令?

+

有,会使用PING_TRANSACTION,检查ServieManger Binder对象是否还活着,如果还活着的话,就给上层返回一个BpBinder对象。

+

2.Service将自己加到ServerManager里面,在Service里面存的是什么东西?

+

存放在ServiceManager维护的svcinfo的链表里,主要的信息有两个,一个是uint32类型的handle,以及Service的Name

+

那这个handle到底是什么东西,表示什么?

+

BBinder对象的地址

+

3.对binder驱动做mmap系统调用的作用是什么?

+

将一页物理内存映射到内核的虚拟地址空间和进程的虚拟地址空间,并把该空闲的内存块加到binder_proc维护的链表里面。有其他进程往该进程发数据,驱动直接把其他进程空间的数据往这块内存拷贝,这样,都能该进程就可以直接访问该内存里面的数据。

+

4.Parcel.remove部分数据是怎么实现的?

+

5.应用的Binder线程是怎么启动的,在哪里启动的?

+

6.servicemanager以什么形式在系统中存在?

+

后台进程的形态,在内核启动的时候,解析init.rc脚本的时候,就把位于/system/bin/servicemanager可执行程序启动。

+ + + + + + \ No newline at end of file diff --git a/2018/07/02/android-optimize/index.html b/2018/07/02/android-optimize/index.html index e69de29..aaa678d 100644 --- a/2018/07/02/android-optimize/index.html +++ b/2018/07/02/android-optimize/index.html @@ -0,0 +1,101 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Android性能优化相关 + + + + +

Android性能优化相关

Android官方的性能优化指南

Android Performance Patterns Season 1 [Article|Video]

+

Android Performance Patterns Season 2[Article|Video]

+

Android Performance Patterns Season 3[Article|Video]

+

Android Performance Patterns Season 4[Article|Video]

+

Android Performance Patterns Season 5[Article|Video]

+

Android Performance Patterns Season 6[Article|Video]

+

Android性能优化之渲染篇

+

Android性能优化之运算篇

+

Android性能优化之内存篇

+

Android性能优化之电量篇

+

Android内存优化之OOM

+

精简安装包

+

Android性能检测工具

Systrace

+ + + + + + + \ No newline at end of file diff --git a/2018/07/22/tcp_connect/index.html b/2018/07/22/tcp_connect/index.html index e69de29..dabe862 100644 --- a/2018/07/22/tcp_connect/index.html +++ b/2018/07/22/tcp_connect/index.html @@ -0,0 +1,210 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 详解Socket编程---连接与断开 + + + + +

详解Socket编程—连接与断开

由于Java的Socket接口简单易用得多,为了简单起见,都是使用Java做示例,但是它和Unix C的接口都是类似,Java接口只是使用JNI对底层接口的一个封装。

+

ServerSocket监听端口

Socket编程使用的都是C/S的模式,先从ServerSocket说起,先来看下ServerSocket最多参数的构造方法:

+
public ServerSocket(int port, int backlog, InetAddress bindAddr) throws IOException
+
+

tcp_connect_rst

+

对应就会抛出IO异常:

+
java.net.ConnectException: Connection refused (Connection refused)
+    at java.net.PlainSocketImpl.socketConnect(Native Method)
+    at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
+    at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
+    at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
+    at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
+    at java.net.Socket.connect(Socket.java:589)
+
+
requested maximum length of the queue of incoming connections
+

当我们执行了监听端口的操作,就需要调用accpet方法去接收客户端TCP连接的请求,当客户端发起三次握手建立请求,我们就会accpet到一个Socket,就可以使用这个Socekt的输入输出流与对端通信。这里要强调一点,accept到的连接一定是完成了一次三次握手。如果我们处理接收Socket的速度较慢,例如使用单线程去处理,那么就会使建立完三次握手的连接在OS内部队列积压着,这个backlog就是限制积压这一类Socket的个数,如果我们不指定,默认就是50。

+

下面来做实验观察一下超过backlog大小会出现什么情况:

+

Server端代码,backlog的值为2:

+
try (ServerSocket serverSocket = new ServerSocket(10086, 2)) {
+    Socket socket = serverSocket.accept();
+    System.out.println("Accept New Socket");
+    TimeUnit.MINUTES.sleep(10);
+}
+

Client代码,设置了一个连接超时时间:

+
for (int i = 0; i < 5; i++) {
+    Socket socket = new Socket();
+    try {
+        socket.connect(new InetSocketAddress("192.168.1.7", 10086), 2_000);
+        System.out.println("Connect Success:" + i);
+    } catch (IOException e) {
+        e.printStackTrace();
+    }
+}
+

按照前面的理解,客户端应该能够连接成功三次,通过打印的日志确实如此,当连接第四个Socekt的时候会出现超时:

+
07-22 22:27:56.973 7193-7562/com.wujingchao.android.demo I/System.out: Connect Success:0
+07-22 22:27:56.983 7193-7562/com.wujingchao.android.demo I/System.out: Connect Success:1
+07-22 22:27:56.983 7193-7562/com.wujingchao.android.demo I/System.out: Connect Success:2
+07-22 22:29:00.181 7193-7562/com.wujingchao.android.demo W/System.err: java.net.ConnectException: failed to connect to /192.168.1.7 (port 10086): connect failed: ETIMEDOUT (Connection timed out)
+

抓取客户端的TCP报文:
tcp_connect_backlog

+

报文 1 ~ 3, 4 ~ 7, 8 ~ 11就是前三次连接成功的报文(另外两个窗口大小更新的报文先不去理会),从12个报文开始,客户端的SYN握手请求,服务端就不在理会了,再下来红字黑底的报文触发了客户端的超时重传。这里服务端的实现就是大于backlog的时候就丢弃SYN握手请求。

+

这里有一点需要注意,不同的OS平台对backlog的实现不太一样,上面测试的Server端是在Mac OS-HotSpot的环境下测试的,但是如果在Ubuntu-OpenJDK上测试,会得到不一样的结果,经过在Ubuntu上测试,服务端貌似没有对backlog有限制,连接了一百多个socket都还能连接。

+

很早之前OpenJDK上的issue中就讨论过这个问题:

+

Num of backlog in ServerSocket(int, int) should be mentioned more explicitly in API document

+
+

However, even if we specify preferable number as the number of backlog ,
actual number depends on underlying Opreationg System.
The documnet should say the below(just example).
“Parameters:
port - the specified port, or 0 to use any free port.
backlog - Request of size of the backlog is just passed to underlying OS.
How the OS performs with the request depends on each OS.”

+
+

下面接着看最后一个参数:

+ +

在TCP/IP协议中,通过5个元素可以确定一条连接:

+ + + + + + + + + + + + + + + +
源端IP地址源端Port端口目的端IP地址目的端Port端口协议类型
+

所以可以有以下结论:
1.我们可以同时监听同一个端口的不同ip地址,在ip地址相同的情况还可以监听不同的协议类型(TCP or UDP)
2.客户端在IP地址相同的情况下可以使用不同的端口接入(同一个节点),端口相同的情况不同的IP可以接入(不同的节点)
3.当服务端accept到一个Socket可以通过getLocalSocketAddress()和getRemoteSocketAddress得到本地和远端的ip/port信息
4.如果我们要过滤客户端的地址或者端口,从协议上来说,服务端应该是可以限制客户端的IP或者port,但是API并没有提供这样的接口给我们使用,只能accept到Socket后再根据3中所述的方法得到远端的ip和port进行过滤。

+

通过这种方式,可以限制接入IP报文中目的地址的报文,假如我们有多个网卡即多个IP地址,通过监听特定的网卡即可实现,如果我们只监听127.0.0.1的回环地址,那么就只有本地的进程能够接入。

+

下面的示例代码监听了ipv4,ipv6,通配符方式的地址。如果我们监听了特定的网卡,那么就会优先接入该网卡的ip,不匹配就会接入到通配符的地址,通配符地址监听了系统上的所有网卡,包括ipv4,ipv6。

+
ServerSocket serverSocket = new ServerSocket(10086, 2, InetAddress.getByName("::1"));
+ServerSocket serverSocket2 = new ServerSocket(10086, 2, InetAddress.getByName("127.0.0.1"));
+ServerSocket serverSocket3 = new ServerSocket(10086, 2, null);
+

tcp_connect_listen

+

通过上面的构造方法创建ServerSocket如果成功,就是一个绑定状态的socket,调用isBound()方法返回的就是true,另外其他的几个有参构造方法都是基于这个构造方法,通过netstat命令就可以直接看到效果。
API还提供了另外一种无参创建ServerSocket的方法,支持延迟绑定端口:

+
public ServerSocket() throws IOException
+

提供这个接口是有原因的,为了支持端口重用的选项 SO_REUSEADDR (这个选项下面讲到客户端Socket的时候再详细说明这个选项),要让ServerSocket支持这个选项,必须先设置,然后才能执行绑定操作,否则就是一个未定义的行为:

+
+

The behaviour when SO_REUSEADDR is enabled or disabled after a socket is bound (See isBound()) is not defined.

+
+

无参构造方法创建的实例代码:

+
ServerSocket serverSocket = new ServerSocket();
+serverSocket.setReuseAddress(true);
+serverSocket.bind(new InetSocketAddress(InetAddress.getByName("127.0.0.1"), 10086));
+

客户端Socket连接

客户端创建Socket的方式比较简单:

+
Socket socket = new Socket();//创建一个 unbound状态的Socket
+socket.connect(new InetSocketAddress("192.168.1.7", 10086), 0);//第二个参数为超时的时间,默认情况下为0,表示无限等待
+

采用无参的方式创建Socket,OS为自动给我们分配一个合适的端口和网卡接口去连接目的端,网卡接口是通过主机的路由表确定的。

+

另外一个构造方法在创建Socket的时候,可以指定源端ip和port,目的端的ip和port,Socket对象创建成功后,得到的Socket就已经是三次握手成功过了,可以进行数据传输。

+
public Socket(InetAddress address, int port, InetAddress localAddr,
+                  int localPort) throws IOException
+

调用方法后抓包,就是三次握手的过程,协商MSS,以及是否支持[SACK(Selective ACK))]等(https://blog.csdn.net/Mary19920410/article/details/72820477)

+

tcp_connect_handshake

+

三次握手是最小的代价确认对方的网络环境是否OK,是否能进行TCP通信,第一二次客户端为了确定服务端是否OK,第二三次是服务端确定客户端的环境是否OK。

+

Socket断开连接

tcp_connect_4dis

+

涉及Socket断开连接的方法有:

+ +

由于TCP的传输是双向传输,Socket提供了关闭输入流与输出流的方法,可以使连接处于半关闭的状态,只有两端都关闭了输出流,才是一个TCP连接的正常关闭状态。

+

shutdownInput并不会发送TCP相关的断开连接报文,会导致的InputStream读到EOF(-1),OS会继续接收报文,确认收到的数据并默默地丢弃。

+

shutdownOutput会发送一个FIN报文给对端,表示主动关闭的这一方已经没有数据需要发送,然后对端对FIN报文进行确认,被动关闭端依旧可以继续发送数据,主动关闭的一方继续读取数据。

+

Server端代码(主动关闭)

+
try (ServerSocket serverSocket = new ServerSocket(10086, 2)) {
+    Socket socket = serverSocket.accept();
+    socket.shutdownOutput();//FIN
+    InputStream is = socket.getInputStream();
+    while (is.read() != -1);//continue read, 此时socket处于FIN_WAIT2
+    TimeUnit.MINUTES.sleep(10);
+}
+

Client端代码(被动关闭)

+
Socket socket = new Socket();
+socket.connect(new InetSocketAddress("212.64.20.XX", 10086));
+if (socket.getInputStream().read() == -1) {
+    System.out.println("read EOF");//被动关闭,读到EOF, 此时socket处于LAST_ACK的状态
+}
+for (int i = 0; i < 5; i++) {
+    socket.getOutputStream().write('A');//依旧可以写数据
+}
+

对于的TCP报文:

+

tcp_connect_half_close

+

Socket.close() 操作同时将InputStream与OutputStream都关闭,并释放OS分配的资源。
由于

+

….

+

(2021年01月09日更新)一直懒得写完….不过最近看到一本书很好地描述的Java Socket的网络编程,要是以前早点看到这本书就好了,少走一些弯路,不过《TCT/IP卷一》也是必不可少的:

+

<<TCP/IP Sockets in Java, Second Edition>>

+

https://book.douban.com/subject/3616173/

+ + + + + + \ No newline at end of file diff --git a/2018/07/22/tcp_nodelay/index.html b/2018/07/22/tcp_nodelay/index.html index e69de29..ad0a58d 100644 --- a/2018/07/22/tcp_nodelay/index.html +++ b/2018/07/22/tcp_nodelay/index.html @@ -0,0 +1,146 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 详解Socket编程---TCP_NODELAY选项 + + + + +

详解Socket编程—TCP_NODELAY选项

Nagle算法描述

Socket编程中,TCP_NODELAY选项是用来控制是否开启Nagle算法,该算法是为了提高较慢的广域网传输效率,减小小分组的报文个数,完整描述:

+
+

该算法要求一个TCP连接上最多只能有一个未被确认的小分组,在该小分组的确认到来之前,不能发送其他小分组。

+
+

这里的小分组指的是报文长度小于MSS(Max Segment Size)长度的分组(MSS是在TCP握手的时候在报文选项里面进行通告的大小,主要是用来限制另一端发送数据的长度,防止IP数据包被分段,提高效率,一般是链路层的传输最大传输单元大小减去IP首部与TCP首部大小)。

+

如果小分组的确认ACK一直没有回来,那么就可能会触发TCP超时重传的定时器。

+

下面是一个简单的示意图,开启了Nagle算法与没有开启:

+

nagle

+

抓包分析

默认开启Nagle算法

由于局域网内延迟低,不容易看到开启Nagle算法的效果,所以专门整个腾讯云的服务器测试,延迟在40毫秒左右。

+

ping

+

Java代码与Unix C的Socket接口类似,这里使用Java代码作为示例简单一点。默认情况下Nagle算法是开启的,即socket.getTcpNoDelay()返回的数值为false,我们先分析这种场景。

+

Receiver的代码:

+
try (ServerSocket serverSocket = new ServerSocket()) {
+    serverSocket.bind(new InetSocketAddress(10086));//wildcard ip
+    Socket socket = serverSocket.accept();
+    System.out.println("Accept New Socket");
+    System.out.println("Tcp No Delay : " + socket.getTcpNoDelay());
+    InputStream is = socket.getInputStream();
+    OutputStream os = socket.getOutputStream();
+    int result;
+    while((result = is.read()) != -1) {
+        System.out.println((char)result);
+    }
+    TimeUnit.MINUTES.sleep(1);
+}
+

Sender的代码:

+
try(Socket socket = new Socket()) {
+    socket.connect(new InetSocketAddress("212.64.20.XX", 10086));
+    System.out.println("Tcp No Delay : " + socket.getTcpNoDelay());
+    InputStream is = socket.getInputStream();
+    OutputStream os = socket.getOutputStream();
+    for (byte c : "TCP_NO_DELAY".getBytes()) {
+        TimeUnit.MILLISECONDS.sleep(10);
+        os.write(c);
+        os.flush();
+    }
+    TimeUnit.MINUTES.sleep(1);
+} catch (IOException e) {
+    e.printStackTrace();
+}
+

与服务器的延时在40毫秒左右,所以Sender这里每隔10毫秒就发送一次就可以演示出累计的小分组在收到ACK后才发送。注意如果是TCP发送的数据延迟还包含链路来回的延迟与Receiver捎带确认的延迟。

+

这里抓包工具使用的是tcpdump,导出pcap文件后再使用wireshark观察发送与接收数据的过程。

+
$ sudo tcpdump -v port 10086 -w TCP_DELAY.pcap
+
+

cap

+ +

下面是使用wireshark导出的时序图帮助进一步帮助理解这个流程。

+

flow

+
关闭Nagle算法

只需要在发送数据之前对Socket调用一个简单的方法就可以关闭Nagle算法:

+
socket.setTcpNoDelay(true);
+

直接抓包,看下报文:

+

cap

+

可以看到,在Sender每10毫秒发送一个字符,不需要等到Receiver发送确认ACK,就继续发送,没有将数据放到OS维护的缓冲区。

+

下面是使用wireshark导出的时序图:

+

flow

+

总结

这个选项应该根据适合的场景进行判断关闭与否,例如实时性要求比较高的场景,类似用户鼠标操作,键盘输入,触摸屏事件输入,状态更新等这种连续的小分组数据,需要在对端立刻呈现,让用户尽可能感受不到延迟。但是如果网络延迟比较高,采用这种方式,那么会导致网路利用率下降。

+

一般类似HTTP协议请求响应的模型的场景不太需要考虑禁用这个算法,因为在一条TCP连接上发送小报文,不管多小都代表了服务端任务执行的指示,完成了这个请求之后才能继续执行下一个请求,即使Sender端提前发送过去也没有作用,所以开启Nagle算法是能够优化网络传输的,并且在Receiver端有捎带延迟确认,省掉单独的ACK确认进一步优化小分组传输。

+

另外HTTP2与HTTP协议不同,HTTP2是在一条TCP连接上进行所有HTTP请求,并且请求头部是压缩的就进一步加大了请求小分组的可能性,多个小分组HTTP请求并且分组大小的和小于MSS就会导致有延迟的现象,所以HTTP2的实现TCP_NODELAY选项是默认开启的。关于这点可以参考HTTP2对TCP_NODELAY的描述)。

+ + + + + + \ No newline at end of file diff --git a/2018/12/16/transition_delay/index.html b/2018/12/16/transition_delay/index.html index e69de29..eb1bee9 100644 --- a/2018/12/16/transition_delay/index.html +++ b/2018/12/16/transition_delay/index.html @@ -0,0 +1,446 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Android锁屏下启动应用卡屏5秒的原因分析 + + + + +

Android锁屏下启动应用卡屏5秒的原因分析

最近分析一个问题,在锁屏窗口中启动应用会出现卡顿5秒,比如拨打电话,启动Google日历等。

+

拿拨打电话来举例,启动的action为 android.intent.action.CALL,对应处理的Activity在Telecom中:

+
//packages/services/Telecomm/AndroidManifest.xml:
+
+<activity android:name=".components.UserCallActivity"
+        android:label="@string/userCallActivityLabel"
+        android:theme="@style/Theme.Telecomm.Transparent"
+        android:permission="android.permission.CALL_PHONE"
+        android:excludeFromRecents="true"
+        android:process=":ui">
+    <!-- CALL action intent filters for the various ways of initiating an outgoing call. -->
+    <intent-filter>
+        <action android:name="android.intent.action.CALL" />
+        <category android:name="android.intent.category.DEFAULT" />
+        <data android:scheme="tel" />
+    </intent-filter>
+</activity>
+

出现卡屏的UserCallActivity比较特别,没有界面,启动之后就会在onCreate里面直接finish,其他的没有出现这个问题快捷方式都是在启动的Activity直接显示。

+

WMS出现卡屏5秒的原因分析

启动Activity com.android.server.telecom/.components.UserCallActivity的时候调用AMS的方法:

+
com/android/server/am/ActivityStackSupervisor.java:
+
+final boolean realStartActivityLocked(ActivityRecord r, ProcessRecord app,
+                                    boolean andResume, boolean checkConfig) throws RemoteException {
+//…
+    if (mKeyguardController.isKeyguardLocked()) {//锁屏状态下调用
+        r.notifyUnknownVisibilityLaunched();
+    }
+//…
+}
+

接着调用ActivityRecord# notifyUnknownVisibilityLaunched方法:

+
com/android/server/am/ActivityRecord.java:
+
+void notifyUnknownVisibilityLaunched() {
+
+   // No display activities never add a window, so there is no point in waiting them for
+   // relayout.
+      if (!noDisplay) {
+            mWindowContainerController.notifyUnknownVisibilityLaunched();
+      }
+}
+

最终调用到UnknownAppVisibilityController#notifyLaunched方法,UnknownAppVisibilityController里面的成员变量mUnknownApps记录了锁屏状态下调用AppWindowToken的状态列表,它有几个状态:

+

UNKNOWN_STATE_WAITING_RESUME 等待执行完onResume
UNKNOWN_STATE_WAITING_RELAYOUT 等待执行完layout
UNKNOWN_STATE_WAITING_VISIBILITY_UPDATE 等待可见性的更新

+

目前看来这个类的目的就是控制锁屏界面下启动的Activity显示,要等待锁屏下开启的Activity完全显示以后才能显示其他的Activity,如果一直不显示也会其他被启动的Acitivity也有一个5s的超时被强制显示。

+
com/android/server/wm/UnknownAppVisibilityController.java
+
+/**
+ * Manages the set of {@link AppWindowToken}s for which we don't know yet whether it's visible or
+ * not. This happens when starting an activity while the lockscreen is showing. In that case, the
+ * keyguard flags an app might set influence it's visibility, so we wait until this is resolved to
+ * start the transition to avoid flickers.(防止闪烁先显示Launcer,然后又快速地切换到显示目标Activity)
+ */
+class UnknownAppVisibilityController {
+    /**
+     * Notifies that {@param appWindow} has been launched behind Keyguard, and we need to wait * until it is resumed and relaid out to resolve the visibility.
+     * Keyguard状态下启动Activity的时候调用
+     */
+
+void notifyLaunched(@NonNull AppWindowToken appWindow) {
+if (DEBUG_UNKNOWN_APP_VISIBILITY) {
+            Slog.d(TAG, "App launched appWindow=" + appWindow);
+        }
+        mUnknownApps.put(appWindow, UNKNOWN_STATE_WAITING_RESUME); 
+}
+
+
+/**
+ * Notifies that {@param appWindow} has finished resuming.  Acitivty#onResume完成调用
+ */
+void notifyAppResumedFinished(@NonNull AppWindowToken appWindow) {
+    if (mUnknownApps.containsKey(appWindow)
+            && mUnknownApps.get(appWindow) == UNKNOWN_STATE_WAITING_RESUME) {
+        if (DEBUG_UNKNOWN_APP_VISIBILITY) {
+            Slog.d(TAG, "App resume finished appWindow=" + appWindow);
+        }
+        mUnknownApps.put(appWindow, UNKNOWN_STATE_WAITING_RELAYOUT);
+    }
+}
+
+    /**
+     * Notifies that {@param appWindow} has relaid out.
+     * layout完成
+     */
+void notifyRelayouted(@NonNull AppWindowToken appWindow) {
+     if (!mUnknownApps.containsKey(appWindow)) {
+         return;
+     }
+     if (DEBUG_UNKNOWN_APP_VISIBILITY) {
+         Slog.d(TAG, "App relayouted appWindow=" + appWindow);
+     } 
+     int state = mUnknownApps.get(appWindow);
+        if (state == UNKNOWN_STATE_WAITING_RELAYOUT) { //当layout完成并且可见,也会从集合里移除
+            mUnknownApps.put(appWindow, UNKNOWN_STATE_WAITING_VISIBILITY_UPDATE);
+            mService.notifyKeyguardFlagsChanged(this::notifyVisibilitiesUpdated);
+    }
+} 
+    //在Activity#onDestroy方法执行完成通知AMS的时候才会调用,mUnknownApps移除对应的appWindow
+    void appRemovedOrHidden(@NonNull AppWindowToken appWindow) {
+        if (DEBUG_UNKNOWN_APP_VISIBILITY) {
+            Slog.d(TAG, "App removed or hidden appWindow=" + appWindow);
+        }
+        mUnknownApps.remove(appWindow);
+    }
+    //这个方法在AppTrasition的时候后判断是否有mUnknownApps存在
+    boolean allResolved() {
+        return mUnknownApps.isEmpty();
+    }
+}
+

下面是UnknownAppVisibility的日志,可以看到UserCallActivity的AppWindowToken被放到了mUnknownApps里面,过了5s之后才执行UserCallActivity#onDestory方法,从mUnknownApps里面移除。

+
LOG:
+06-02 09:54:44.352 D/UnknownAppVisibility(  777): App launched appWindow=AppWindowToken{99d9676 token=Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}}}
+
+06-02 09:54:45.263 D/UnknownAppVisibility(  777): App resume finished appWindow=AppWindowToken{99d9676 token=Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}}}
+
+06-02 09:54:51.455 V/ActivityManagerService_Switch(  777): ACTIVITY DESTROYED: Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288 f}} [这个地方的onDestroy不是正常finish后调用的,而是AMS的超时机制触发]
+
+06-02 09:54:51.460 D/UnknownAppVisibility(  777): App removed or hidden appWindow=AppWindowToken{99d9676 token=Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}}}
+

在启动Activity的时候,会调用continueSurfaceLayout:

+
com/android/server/am/ActivityStarter.java:
+
+private int startActivity(final ActivityRecord r, ActivityRecord sourceRecord,
+IVoiceInteractionSession voiceSession, IVoiceInteractor voiceInteractor,
+                        int startFlags, boolean doResume, ActivityOptions options, TaskRecord inTask, ActivityRecord[] outActivity) {
+//…
+try {
+    mService.mWindowManager.deferSurfaceLayout();
+    result = startActivityUnchecked(r, sourceRecord, voiceSession, voiceInteractor,
+            startFlags, doResume, options, inTask, outActivity);
+} finally {
+    mService.mWindowManager.continueSurfaceLayout();
+}
+    return result;
+}
+

最终会调用到WindowSurfacePlacer # transitionGoodToGo这个方法,判断是否准备好可以执行transition:

+
com/android/server/wm/WindowSurfacePlacer.java:
+
+int handleAppTransitionReadyLocked() {
+   int appsCount = mService.mOpeningApps.size();
+   if (!transitionGoodToGo(appsCount, mTempTransitionReasons)) {
+      return 0;
+}
+//…
+if (DEBUG_APP_TRANSITIONS) Slog.v(TAG, "**** GOOD TO GO");
+ mService.mH.removeMessages(H.APP_TRANSITION_TIMEOUT);//如果成功,从handler移除AppTransition超时处理
+//…
+}
+
+//下面是个关键的地方, UnknownAppVisibilityController里面保存了在锁屏情况下启动Activity的AppWindowToken,导致不能正常的transition
+private boolean transitionGoodToGo(int appsCount, SparseIntArray outReasons) {
+    //...
+    if (!mService.mAppTransition.isTimeout()) {
+        //...
+        if (!mService.mUnknownAppVisibilityController.allResolved()) {
+            if (DEBUG_APP_TRANSITIONS) {
+                Slog.v(TAG, "unknownApps is not empty: "
+                        + mService.mUnknownAppVisibilityController.getDebugMessage());
+            }
+            return false;
+        }
+        //....
+        return false;
+    }
+    return true;
+}
+
LOG
+06-02 09:54:45.229 V/WindowSurfacePlacer(  777): unknownApps is not empty: app=AppWindowToken{99d9676 token=Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}}} state=1
+//….
+06-02 09:54:45.278 V/WindowSurfacePlacer(  777): unknownApps is not empty: app=AppWindowToken{99d9676 token=Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}}} state=2
+//…
+    //private static final int UNKNOWN_STATE_WAITING_RESUME = 1;
+    //private static final int UNKNOWN_STATE_WAITING_RELAYOUT = 2;
+

可以看到日志UserCallActivity的state一直处于1和2的状态,阻塞了不能正常的AppTrasition

+

尝试在加上条件测试看是否还会出现卡屏5s的现象:

+
com/android/server/wm/WindowSurfacePlacer.java:
+if (!mService.mUnknownAppVisibilityController.allResolved()&&
+!mService.mUnknownAppVisibilityController.getDebugMessage()
+.contains(“com.android.server.telecom/.components.UserCallActivity”)) {
+    //…
+    return false;
+}
+

加上这个测试条件后就没有了卡屏5秒的情况,但是有了新问题,会出现flickers(闪烁),先显示Launcer,然后又快速地切换到显示InCallActivity。如果FUNC先解锁操作再执行拨打电话,也会出现同样的问题。这正是UnknownAppVisibilityController解决的问题。下面看UserCallActivity finish不掉的原因。

+

AMS finish没有立即触发onDestroy的原因分析

正常的情况下,在Activity#onCreate方法中直接调用finish(),在之后的onPause方法调用AMS的activityPaused,就会直接调用IApplicationThread#scheduleDestroyActivity的方法通知Activity执行onDestroy,然后执行AMS的activityDestroyed,将UnknownAppVisibilityController里面的AppWindow移除。然而锁屏的的情况有区别:

+
com/android/server/am/ActivityManagerService.java:
+@Override
+public final void activityPaused(IBinder token) {
+   //…
+   ActivityStack stack = ActivityRecord.getStackLocked(token);
+   if (stack != null) {
+      stack.activityPausedLocked(token, false);
+   }
+}
+
com/android/server/am/ActivityStack.java:
+
+final void activityPausedLocked(IBinder token, boolean timeout) {
+    final ActivityRecord r = isInStackLocked(token);
+    mHandler.removeMessages(PAUSE_TIMEOUT_MSG, r);
+    //…
+    completePauseLocked(true /* resumeNext */, null /* resumingActivity */);
+   //…
+}
+
+private void completePauseLocked(boolean resumeNext, ActivityRecord resuming) {
+    ActivityRecord prev = mPausingActivity;
+    if (DEBUG_PAUSE) Slog.v(TAG_PAUSE, "Complete pause: " + prev);
+
+    if (prev != null) {
+        final boolean wasStopping = prev.state == STOPPING;
+        prev.state = ActivityState.PAUSED;
+        if (prev.finishing) {
+            if (DEBUG_PAUSE) Slog.v(TAG_PAUSE, "Executing finish of activity: " + prev);
+            prev = finishCurrentActivityLocked(prev, FINISH_AFTER_VISIBLE, false);
+        } else{//...}
+
+    }
+}
+
+final ActivityRecord finishCurrentActivityLocked(ActivityRecord r, int mode, boolean oomAdj) {
+    // First things first: if this activity is currently visible,
+    // and the resumed activity is not yet visible, then hold off on
+    // finishing until the resumed one becomes visible.
+    //这里的next是Launcher, r为UserCallActivity
+    final ActivityRecord next = mStackSupervisor.topRunningActivityLocked();
+    //可以看到上面的注释就是我们的这种场景 
+    //在锁屏的情况下会走到分支mode为FINISH_AFTER_VISIBLE,r.visible为true
+    //关键的是next.nowVisible为false,即Launcher现在也是不可见的
+    //所以就会将UserCallActivity放到 mStoppingActivities里面
+    if (mode == FINISH_AFTER_VISIBLE && (r.visible || r.nowVisible)
+            && next != null && !next.nowVisible) {
+        if (!mStackSupervisor.mStoppingActivities.contains(r)) {
+            addToStopping(r, false /* scheduleIdle */, false /* idleDelayed */);
+        }
+        if (DEBUG_STATES) Slog.v(TAG_STATES,
+                "Moving to STOPPING: "+ r + " (finish requested)");
+        r.state = STOPPING;
+        return r;
+    }
+     //…
+    //非锁屏下走这个分支,这里就会scheduleDestroyActivity
+
+    if (mode == FINISH_IMMEDIATELY
+            || (prevState == ActivityState.PAUSED
+            && (mode == FINISH_AFTER_PAUSE || mStackId == PINNED_STACK_ID))
+            || finishingActivityInNonFocusedStack
+            || prevState == STOPPING
+            || prevState == STOPPED
+            || prevState == ActivityState.INITIALIZING) {
+             boolean activityRemoved = destroyActivityLocked(r, true, "finish-imm");
+        //....
+        return activityRemoved ? null : r;
+    }
+}
+

这个时候dumpsys activity的信息如下,UserCallActivity被加到了waittingToStop列表里,没有执行scheduleDestroyActivity方法:

+
adb shell dumpsys activity:
+Activities waiting to stop:
+    TaskRecord{28306a9 #433 A=com.android.server.telecom U=0 StackId=1 sz=1}
+      Stop #0: ActivityRecord{f676a30 u0 com.android.server.telecom/.components.UserCallActivity t433 f}
+
+Activities waiting for another to become visible:
+    TaskRecord{28306a9 #433 A=com.android.server.telecom U=0 StackId=1 sz=1}
+      Wait #0: ActivityRecord{f676a30 u0 com.android.server.telecom/.components.UserCallActivity t433 f}
+// InCallActivity已经Resume等待显示
+ResumedActivity: ActivityRecord{4cd5d55 u0 com.tct.dialer/com.android.incallui.InCallActivity t432}
+

之后的finish操作在ActivityManagerService#activityIdle方法中处理: (每次有Activity Resume完成,就会在主线程MessageQueue的Idler中调用,也有可能会在SystemServer中闲时调用)

+
com/android/server/am/ActivityManagerService.java:
+@Override
+public final void activityIdle(IBinder token, Configuration config, boolean stopProfiling) {
+    synchronized (this) {
+        ActivityStack stack = ActivityRecord.getStackLocked(token);
+        if (stack != null) {
+            ActivityRecord r =
+                    mStackSupervisor.activityIdleInternalLocked(token, false /* fromTimeout */,
+                            false /* processPausingActivities */, config);
+        }//….
+    }
+}
+

接着调用ActivityStackSupervisor# activityIdleInternalLocked

+
final ActivityRecord activityIdleInternalLocked(final IBinder token, boolean fromTimeout,
+                                        boolean processPausingActivities, Configuration config) {
+    if (DEBUG_ALL) Slog.v(TAG, "Activity idle: " + token);
+
+        // Atomically retrieve all of the other things to do.
+    //查找waitingToStop的Activity,如果这里能够找出来,那么在后面finish,调用Activity#onDestory
+    final ArrayList<ActivityRecord> stops = processStoppingActivitiesLocked(r,
+            true /* remove */, processPausingActivities);
+    NS = stops != null ? stops.size() : 0;
+    //…
+    // Stop any activities that are scheduled to do so but have been
+    // waiting for the next one to start.
+    for (int i = 0; i < NS; i++) {
+        r = stops.get(i);
+        final ActivityStack stack = r.getStack();
+        if (stack != null) {
+            if (r.finishing) {
+                stack.finishCurrentActivityLocked(r, ActivityStack.FINISH_IMMEDIATELY, false);
+            } else {
+                stack.stopActivityLocked(r);
+            }
+        }
+    }
+    //...
+    return r;
+}
+
+//查找操作waitingStop符合条件finish的
+final ArrayList<ActivityRecord> processStoppingActivitiesLocked(ActivityRecord idleActivity,
+                                    boolean remove, boolean processPausingActivities) {
+    ArrayList<ActivityRecord> stops = null;
+//这个时候没有Activity可见,nowVisible为false
+    final boolean nowVisible = allResumedActivitiesVisible();
+    for (int activityNdx = mStoppingActivities.size() - 1; activityNdx >= 0; --activityNdx) {
+        ActivityRecord s = mStoppingActivities.get(activityNdx);//找到UserCallActivity
+        //waitingVisible为true,一直等待显示
+        boolean waitingVisible = mActivitiesWaitingForVisibleActivity.contains(s);
+        if (DEBUG_STATES) Slog.v(TAG, "Stopping " + s + ": nowVisible=" + nowVisible
+                + " waitingVisible=" + waitingVisible + " finishing=" + s.finishing);
+        if (waitingVisible && nowVisible) {//不会进入这个分支
+            mActivitiesWaitingForVisibleActivity.remove(s);
+            waitingVisible = false;//当InCallActivity show出来,置false,
+            if (s.finishing) {
+                //...
+                s.setVisibility(false);
+            }
+        }
+        if (remove) {    
+            final ActivityStack stack = s.getStack();
+            final boolean shouldSleepOrShutDown = stack != null
+                    ? stack.shouldSleepOrShutDownActivities()
+                    : mService.isSleepingOrShuttingDownLocked();
+            //waitingVisible为true,进入不了这个分支
+            if (!waitingVisible || shouldSleepOrShutDown) {
+if (!processPausingActivities && s.state == PAUSING) {
+                    //...
+                    continue;
+                }
+                if (DEBUG_STATES) Slog.v(TAG, "Ready to stop: " + s);
+                if (stops == null) {
+                    stops = new ArrayList<>();
+                }
+                stops.add(s);
+                mStoppingActivities.remove(activityNdx);
+            }
+        }
+    }
+    return stops;
+}
+

由于此时的topActivity (InCallActivity)一直没有show出来,就会导致UserCallActivity一直处于waitingToStop的状态,直到InCallActivity show出来之后,才会destroy UserCallActivity。

+

下面是日志,验证上面的分析:

+
LOG
+06-02 09:54:44.464 V/ActivityStackSupervisor(  777): Stopping ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCal
+lActivity t288}: nowVisible=false waitingVisible=false finishing=false
+
+06-02 09:54:45.073 V/ActivityStack_States(  777): Moving to STOPPING: ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.
+UserCallActivity t288 f} (finish requested)
+
+06-02 09:54:45.283 V/ActivityStackSupervisor(  777): Stopping ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.
+UserCallActivity t288 f}: nowVisible=false waitingVisible=true finishing=true
+
+06-02 09:54:47.607 V/ActivityStackSupervisor(  777): Stopping ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.
+UserCallActivity t288 f}: nowVisible=false waitingVisible=true finishing=true
+
+06-02 09:54:51.186 V/ActivityStackSupervisor(  777): Stopping ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.
+UserCallActivity t288 f}: nowVisible=true waitingVisible=false finishing=true
+
+06-02 09:54:51.187 V/ActivityStackSupervisor(  777): Ready to stop: ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.
+UserCallActivity t288 f}
+
+06-02 09:54:51.287 V/ActivityStack_States(  777): Moving to FINISHING: ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.
+UserCallActivity t288 f}
+

结论

由于在锁屏界面启动Activity导致触发了WMS的 UnknownAppVisibilityController防止闪烁(显示Launcher之后又快速切换到目标Activity)的机制, UserCall Activity不能及时finish,就会导致一直处于卡屏状态,直到AppTransition超时机制才强制显示InCallActivity。

+

UserCallActivity是Telecomm服务里面的组件,但是它又不是真正显示UI的Acivity,针对这种情况可以使用Telecom的placeCall接口可以规避掉这种情况。但是,不能保证所有启动的Acitivty都直接显示,比如原生的Google日历也会出现卡屏5秒现象,目前看来是原生Android的bug,对于这种情况,finish之后没有将不显示的窗口及时地从UnknownAppVisibilityController移除。

+ + + + + + \ No newline at end of file diff --git a/2019/02/17/scheme-env/index.html b/2019/02/17/scheme-env/index.html index e69de29..e8c67f2 100644 --- a/2019/02/17/scheme-env/index.html +++ b/2019/02/17/scheme-env/index.html @@ -0,0 +1,101 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + MacOS Scheme编译环境搭建 + + + + +

MacOS Scheme编译环境搭建

安装的环境是开源的ChezScheme

+

下载ChezScheme

+
git clone git@github.com:cisco/ChezScheme.git
+

编译与安装:

+
./configure
+sudo make install
+

安装完成之后就可以直接在Shell里面使用ChezScheme的命令行交互环境, Ctrl + D退出:

+

scheme-evn1

+

如果不使用交互式环境,还可以让解释器直接解释文件:

+

scheme-evn2

+

为了更方便学习,还可以将环境集成到vscode里面:

+

安装支持语法高亮的插件 vscode-scheme:

+

scheme-evn3

+

支持快捷运行代码的插件 Code Runner:

+

scheme-evn4

+

配置Code Runner支持scheme:

+

在菜单 Code -> Preferences -> Settings里面搜索Run Code找到 Executor Map By File Extension:

+

scheme-evn4

+

点击 Edit in settings.json,在这个文件里面加上scheme文件的后缀配置,然后保存:

+
    "code-runner.executorMapByFileExtension": {
+        ".ss": "scheme --quiet < $fullFileName"
+    }
+

在vscode里面新建ss后缀的scheme文件,点运行按钮就可以直接运行了,结果会在OUTPUT里面:

+

scheme-evn4

+ + + + + + \ No newline at end of file diff --git a/2019/11/18/android-sp/index.html b/2019/11/18/android-sp/index.html index e69de29..a142925 100644 --- a/2019/11/18/android-sp/index.html +++ b/2019/11/18/android-sp/index.html @@ -0,0 +1,88 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 再谈Android源码的C++智能指针 + + + + +

再谈Android源码的C++智能指针

AOSP里面用到智能指针的地方太多,目前也有很多现成源码分析的文章,本文从引用的角度谈谈我对其的理解,尽量避免贴大量源代码,水平有限,可能有纰漏,也感谢帮忙指出。

+

Java与C++对象的生命周期

我们都知道,Java对象通过new关键字创建,之后就会再Java虚拟机的堆区创建一块内存区域,然后我们通过的类型变量去引用它,这个就是强引用。垃圾回收器(GC)会在适当的时刻,根据对象可达性(reachable)判断,是否回收相关的对象。

+

另外,当我们在长存对象里面引用对象的时,例如在Android的Activity内部使用Handler对象给主线程发消息,如果不使用静态的Hanlder对象的话,会导致对象持有外部的Activity对象,而消息Message对象会引用Handler对象,如果消息队列里面的对象一直没有得到处理,那么就会导致Activity对象得不到回收,所以我们就需要将Handler改为非内部类的实现方式,并且不能对Activity强引用。这个时候就需要对Activity弱引用, 不影响GC对Activity对象进行回收。

+

Java除了强引用,还有另外三种引用:

+ +

对对象的引用从强到弱。

+

….

+ + + + + + \ No newline at end of file diff --git a/2020/02/22/penetrate/index.html b/2020/02/22/penetrate/index.html index e69de29..c371e3e 100644 --- a/2020/02/22/penetrate/index.html +++ b/2020/02/22/penetrate/index.html @@ -0,0 +1,131 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 最简单的SSH / Frp内网穿透配置 + + + + +

最简单的Ubuntu SSH / Frp内网穿透配置

内网:家里或者公司的机器

+

公网:云服务器

+

外网:需要访问内网的机器

+

SSH

公网服务器配置

修改sshd配置/etc/ssh/sshd_config

+
GatewayPorts yes
+

除了开放sshd用的端口,还需要开放一个[公网服务器开放端口],用作转发数据

+
内网

为了能够断开自动重连,安装autossh(ubuntu)

+
sudo apt-get install autossh
+

与公网服务器建立连接通道

+
autossh -M [内网任意未使用端口] -NR [公网服务器开放端口]:127.0.0.1:[本地sshd端口] [公网服务器用户名]@[公网ip]
+
+//提示输入公网服务器密码
+

-M 后面的这个参数端口貌似用echo service做监听重连的,没太看明白

+

-N Do not execute a remote command. This is useful for just forwarding ports

+

-R Specifies that connections to the given TCP port or Unix socket on the remote (server) host are to be forwarded to the local side

+

这样配置好以后,外网连上的[公网服务器开放端口]的数据就会转发到内网的[本地sshd端口]

+
外网配置

上面两部配置完成之后就可以远程ssh到内网了

+
ssh [内网用户名]@[公网ip] -p [公网服务器开放端口]
+//提示输入内网服务器密码
+

使用ssh开启隧道代理:

+
ssh -nNTf -D [本地上网代理端口] [内网用户名]@[公网ip] -p [公网服务器开放端口]
+

同样,可以使用autossh断连之后自动重连。需要把-nNTf参数放到后面,否则会将-f误认为是autossh的参数,无法提示输入密码:

+
autossh -M 0  -D [本地上网代理端口]  [内网用户名]@[公网ip] -p [公网服务器开放端口] -nNTf
+

有时候使用autossh也会断开,可以在/etc/ssh/config加上

+
ServerAliveInterval 60 
+

那么就会每隔60s,就会发一次消息,确保在线。如果还想继续处理其他未知的情况,使用暴力不断重连的命令

+
while true; do [ssh链接命令]; sleep 5;done
+

这样就开启了socket5协议代理,将浏览器或应用的代理设置为sockets://127.0.0.1:[本地上网代理端口], 就可以成功穿透到内网了!

+

Frp

发现有时候不稳定的时候ssh老是断开导致公网的服务器转发端口有时候监听失败,看了下Frp配置也比较简单,目前看来比较稳定。

+

公网服务器配置

首先去Frp项目下载release软件,不同的操作系统都有包含,服务端和客户端都在一个包里面。

+

下载之后解压,配置服务端的配置文件 frps.ini

+
[common]
+bind_port = {frp监听端口}
+dashboard_port = {控制台端口,用作http协议访问}
+dashboard_user = {控制台用户名}
+dashboard_pwd = {控制台密码}
+authentication_method = token
+token = {用于frp客户端访问验证}
+

之后直接运行可执行文件frps即可

+

内网服务器配置

客户端配置文件frpc.ini:

+
[common]
+server_addr = {frp服务端公网ip}
+server_port = {frp服务端监听端口}
+token= {frp服务端访问令牌}
+
+[ssh-mac] {不同的客户端需要有不同的名字}
+type = tcp
+local_ip = 127.0.0.1
+local_port = {sshd监听端口}
+remote_port = {用于转发数据的端口}
+use_encryption = true
+use_compression = true
+

之后直接运行可执行文件frpc即可

+

外网配置

上面两部配置好之后,就可以通过remote_port ssh到内网了,按照前面的命令配置ssh隧道代理!

+ + + + + + \ No newline at end of file diff --git a/2020/03/18/fund/index.html b/2020/03/18/fund/index.html index e69de29..6ff9504 100644 --- a/2020/03/18/fund/index.html +++ b/2020/03/18/fund/index.html @@ -0,0 +1,104 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 基金投资策略(2021年01月09日) + + + + +

(原)基金网格策略

XLS

+

基金投资策略(2021年01月09日更新)

最近一年学习了许多股票基金投资相关的书籍,打破了以前的一些认知,以前运用的网格策略,低估值策略现在不是很看好,这些策略说到底都是在赚股价由于情绪波动的收益,典型的零和游戏,特别是网格,和投机没什么区别,即使在一段时期内有效,但是很难长期有效,不符合自己的投资价值理念,要避免这些短期的诱惑,做一名长期的价值投资者。

+

去年的收益严重跑输沪深300指数,不得不思考下原因,在18年和17年股市低落的时候捡了很多蓝筹价值股便宜的筹码,在19年股市稍稍上涨的时候就匆匆卖掉了,近日究其原因就是不理解其的价值导致。然后又买了很多策略指数,比如沪深300价值等,策略指数都是使用纯数据筛选出来的,成分股里面有大量的银行地产保险,虽然这些行业的价格低估,但是有特点是高负债,长期来看成长较缓慢或者没有成长,可能会一直低估。。

+

回归到股票投资的宗旨,买股票就是买公司,即赚取企业成长的价值,从这个角度出发,执行比较符合自己价值观投资策略,这样才能在市场严重回撤的时候坚定持有,并持续以好的价格不断买入,也不至于在市场涨了一点点就迅速止盈。

+

长期来看,优质企业的价格市场大部分时间都是有效的,除非出现了严重的泡沫,比如身边的人平时不买股票和基金都来参与了,这种情况可以考虑止盈。如果出现严重低估,那么就是大量买入的时候。以下是符合我投资理念的策略:

+ +

当然对于我们普通人来说,靠买股票和基金发达不太现实,努力工作学习,不断提升自己的专业技能才能走得远。投资的目的是希望以后能摆脱金钱束缚,把更多的时间放在自己喜欢的事上,且享受这个慢慢的过程。

+

最后,对于大多数人来说,投资是件反人性的事情,需要有良好的心态以及观念才能走得更长远:

+

buffett

+
+

投资永远记住两条原则:

+

第一,永远不要亏损

+

第二,永远记住第一条

+
+ + + + + + \ No newline at end of file diff --git a/2020/05/04/principle/index.html b/2020/05/04/principle/index.html index e69de29..cec84aa 100644 --- a/2020/05/04/principle/index.html +++ b/2020/05/04/principle/index.html @@ -0,0 +1,293 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Ray Dalio 《原则》 + + + + +

Ray Dalio 《原则》

+ + + + + + \ No newline at end of file diff --git a/2020/09/09/scope-storage/index.html b/2020/09/09/scope-storage/index.html index e69de29..11a3815 100644 --- a/2020/09/09/scope-storage/index.html +++ b/2020/09/09/scope-storage/index.html @@ -0,0 +1,78 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 一次技术分享:Android分区存储 + + + + +

一次技术分享:Android分区存储

PPT

+ + + + + + \ No newline at end of file diff --git a/2020/10/05/contridiction/index.html b/2020/10/05/contridiction/index.html index e69de29..08faaa7 100644 --- a/2020/10/05/contridiction/index.html +++ b/2020/10/05/contridiction/index.html @@ -0,0 +1,91 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + (转)矛盾论 + + + + +

矛盾论

(一九三七年八月)

+
+

这篇哲学论文,是毛泽东继《实践论》之后,为了同一的目的,即为了克服存在于中国共产党内的严重的教条主义思想而写的,曾在延安的抗日军事政治大学作过讲演。在收入本书第一版的时候,作者作了部分的补充、删节和修改。

+
+

  事物的矛盾法则,即对立统一的法则,是唯物辩证法的最根本的法则。列宁说:“就本来的意义讲,辩证法是研究对象的本质自身中的矛盾。”⑴列宁常称这个法则为辩证法的本质,又称之为辩证法的核心⑵。因此,我们在研究这个法则时,不得不涉及广泛的方面,不得不涉及许多的哲学问题。如果我们将这些问题都弄清楚了,我们就在根本上懂得了唯物辩证法。这些问题是:两种宇宙观;矛盾的普遍性;矛盾的特殊性;主要的矛盾和主要的矛盾方面;矛盾诸方面的同一性和斗争性;对抗在矛盾中的地位。
  苏联哲学界在最近数年中批判了德波林学派⑶的唯心论,这件事引起了我们的极大的兴趣。德波林的唯心论在中国共产党内发生了极坏的影响,我们党内的教条主义思想不能说和这个学派的作风没有关系。因此,我们现在的哲学研究工作,应当以扫除教条主义思想为主要的目标。

+

一 两种宇宙观

  在人类的认识史中,从来就有关于宇宙发展法则的两种见解,一种是形而上学的见解,一种是辩证法的见解,形成了互相对立的两种宇宙观。列宁说:“对于发展(进化)所持的两种基本的(或两种可能的?或两种在历史上常见的?)观点是:(一)认为发展是减少和增加,是重复;(二)认为发展是对立的统一(统一物分成为两个互相排斥的对立,而两个对立又互相关联着)。”⑷列宁说的就是这两种不同的宇宙观。
  形而上学,亦称玄学。这种思想,无论在中国,在欧洲,在一个很长的历史时间内,是属于唯心论的宇宙观,并在人们的思想中占了统治的地位。在欧洲,资产阶级初期的唯物论,也是形而上学的。由于欧洲许多国家的社会经济情况进到了资本主义高度发展的阶段,生产力、阶级斗争和科学均发展到了历史上未有过的水平,工业无产阶级成为历史发展的最伟大的动力,因而产生了马克思主义的唯物辩证法的宇宙观。于是,在资产阶级那里,除了公开的极端露骨的反动的唯心论之外,还出现了庸俗的进化论,出来对抗唯物辩证法。
  所谓形而上学的或庸俗进化论的宇宙观,就是用孤立的、静止的和片面的观点去看世界。这种宇宙观把世界一切事物,一切事物的形态和种类,都看成是永远彼此孤立和永远不变化的。如果说有变化,也只是数量的增减和场所的变更。而这种增减和变更的原因,不在事物的内部而在事物的外部,即是由于外力的推动。形而上学家认为,世界上各种不同事物和事物的特性,从它们一开始存在的时候就是如此。后来的变化,不过是数量上的扩大或缩小。他们认为一种事物永远只能反复地产生为同样的事物,而不能变化为另一种不同的事物。在形而上学家看来,资本主义的剥削,资本主义的竞争,资本主义社会的个人主义思想等,就是在古代的奴隶社会里,甚至在原始社会里,都可以找得出来,而且会要永远不变地存在下去。说到社会发展的原因,他们就用社会外部的地理、气候等条件去说明。他们简单地从事物外部去找发展的原因,否认唯物辩证法所主张的事物因内部矛盾引起发展的学说。因此,他们不能解释事物的质的多样性,不能解释一种质变为他种质的现象。这种思想,在欧洲,在十七世纪和十八世纪是机械唯物论,在十九世纪末和二十世纪初则有庸俗进化论。在中国,则有所谓“天不变,道亦不变”⑸的形而上学的思想,曾经长期地为腐朽了的封建统治阶级所拥护。近百年来输入了欧洲的机械唯物论和庸俗进化论,则为资产阶级所拥护。
  和形而上学的宇宙观相反,唯物辩证法的宇宙观主张从事物的内部、从一事物对他事物的关系去研究事物的发展,即把事物的发展看做是事物内部的必然的自己的运动,而每一事物的运动都和它的周围其他事物互相联系着和互相影响着。事物发展的根本原因,不是在事物的外部而是在事物的内部,在于事物内部的矛盾性。任何事物内部都有这种矛盾性,因此引起了事物的运动和发展。事物内部的这种矛盾性是事物发展的根本原因,一事物和他事物的互相联系和互相影响则是事物发展的第二位的原因。这样,唯物辩证法就有力地反对了形而上学的机械唯物论和庸俗进化论的外因论或被动论。这是清楚的,单纯的外部原因只能引起事物的机械的运动,即范围的大小,数量的增减,不能说明事物何以有性质上的千差万别及其互相变化。事实上,即使是外力推动的机械运动,也要通过事物内部的矛盾性。植物和动物的单纯的增长,数量的发展,主要地也是由于内部矛盾所引起的。同样,社会的发展,主要地不是由于外因而是由于内因。许多国家在差不多一样的地理和气候的条件下,它们发展的差异性和不平衡性,非常之大。同一个国家吧,在地理和气候并没有变化的情形下,社会的变化却是很大的。帝国主义的俄国变为社会主义的苏联,封建的闭关锁国的日本变为帝国主义的日本,这些国家的地理和气候并没有变化。长期地被封建制度统治的中国,近百年来发生了很大的变化,现在正在变化到一个自由解放的新中国的方向去,中国的地理和气候并没有变化。整个地球及地球各部分的地理和气候也是变化着的,但以它们的变化和社会的变化相比较,则显得很微小,前者是以若干万年为单位而显现其变化的,后者则在几千年、几百年、几十年、甚至几年或几个月(在革命时期)内就显现其变化了。按照唯物辩证法的观点,自然界的变化,主要地是由于自然界内部矛盾的发展。社会的变化,主要地是由于社会内部矛盾的发展,即生产力和生产关系的矛盾,阶级之间的矛盾,新旧之间的矛盾,由于这些矛盾的发展,推动了社会的前进,推动了新旧社会的代谢。唯物辩证法是否排除外部的原因呢?并不排除。唯物辩证法认为外因是变化的条件,内因是变化的根据,外因通过内因而起作用。鸡蛋因得适当的温度而变化为鸡子,但温度不能使石头变为鸡子,因为二者的根据是不同的。各国人民之间的互相影响是时常存在的。在资本主义时代,特别是在帝国主义和无产阶级革命的时代,各国在政治上、经济上和文化上的互相影响和互相激动,是极其巨大的。十月社会主义革命不只是开创了俄国历史的新纪元,而且开创了世界历史的新纪元,影响到世界各国内部的变化,同样地而且还特别深刻地影响到中国内部的变化,但是这种变化是通过了各国内部和中国内部自己的规律性而起的。两军相争,一胜一败,所以胜败,皆决于内因。胜者或因其强,或因其指挥无误,败者或因其弱,或因其指挥失宜,外因通过内因而引起作用。一九二七年中国大资产阶级战败了无产阶级,是通过中国无产阶级内部的(中国共产党内部的)机会主义而起作用的。当着我们清算了这种机会主义的时候,中国革命就重新发展了。后来,中国革命又受了敌人的严重的打击,是因为我们党内产生了冒险主义。当着我们清算了这种冒险主义的时候,我们的事业就又重新发展了。由此看来,一个政党要引导革命到胜利,必须依靠自己政治路线的正确和组织上的巩固。
  辩证法的宇宙观,不论在中国,在欧洲,在古代就产生了。但是古代的辩证法带着自发的朴素的性质,根据当时的社会历史条件,还不可能有完备的理论,因而不能完全解释宇宙,后来就被形而上学所代替。生活在十八世纪末和十九世纪初期的德国著名哲学家黑格尔,对于辩证法曾经给了很重要的贡献,但是他的辩证法却是唯心的辩证法。直到无产阶级运动的伟大的活动家马克思和恩格斯综合了人类认识史的积极的成果,特别是批判地吸取了黑格尔的辩证法的合理的部分,创造了辩证唯物论和历史唯物论这个伟大的理论,才在人类认识史上起了一个空前的大革命。后来,经过列宁和斯大林,又发展了这个伟大的理论。这个理论一经传到中国来,就在中国思想界引起了极大的变化。
  这个辩证法的宇宙观,主要地就是教导人们要善于去观察和分析各种事物的矛盾的运动,并根据这种分析,指出解决矛盾的方法。因此,具体地了解事物矛盾这一个法则,对于我们是非常重要的。

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二 矛盾的普遍性

  为了叙述的便利起见,我在这里先说矛盾的普遍性,再说矛盾的特殊性。这是因为马克思主义的伟大的创造者和继承者马克思、恩格斯、列宁、斯大林他们发现了唯物辩证法的宇宙观,已经把唯物辩证法应用在人类历史的分析和自然历史的分析的许多方面,应用在社会的变革和自然的变革(例如在苏联)的许多方面,获得了极其伟大的成功,矛盾的普遍性已经被很多人所承认,因此,关于这个问题只需要很少的话就可以说明白;而关于矛盾的特殊性的问题,则还有很多的同志,特别是教条主义者,弄不清楚。他们不了解矛盾的普遍性即寓于矛盾的特殊性之中。他们也不了解研究当前具体事物的矛盾的特殊性,对于我们指导革命实践的发展有何等重要的意义。因此,关于矛盾的特殊性的问题应当着重地加以研究,并用足够的篇幅加以说明。为了这个缘故,当着我们分析事物矛盾的法则的时候,我们就先来分析矛盾的普遍性的问题,然后再着重地分析矛盾的特殊性的问题,最后仍归到矛盾的普遍性的问题。
  矛盾的普遍性或绝对性这个问题有两方面的意义。其一是说,矛盾存在于一切事物的发展过程中;其二是说,每一事物的发展过程中存在着自始至终的矛盾运动。
  恩格斯说:“运动本身就是矛盾。”⑹列宁对于对立统一法则所下的定义,说它就是“承认(发现)自然界(精神和社会两者也在内)的一切现象和过程都含有互相矛盾、互相排斥、互相对立的趋向”⑺。这些意见是对的吗?是对的。一切事物中包含的矛盾方面的相互依赖和相互斗争,决定一切事物的生命,推动一切事物的发展。没有什么事物是不包含矛盾的,没有矛盾就没有世界。
  矛盾是简单的运动形式(例如机械性的运动)的基础,更是复杂的运动形式的基础。
  恩格斯这样说明过矛盾的普遍性:“如果简单的机械的移动本身包含着矛盾,那末,物质的更高的运动形式,特别是有机生命及其发展,就更加包含着矛盾。……生命首先就在于:生物在每一个瞬间是它自身,但却又是别的什么。所以,生命也是存在于物体和过程本身中的不断地自行产生并自行解决的矛盾;这一矛盾一停止,生命亦即停止,于是死就来到。同样,我们看到了,在思维的范围以内我们也不能避免矛盾,并且我们看到了,例如,人的内部无限的认识能力与此种认识能力仅在外部被局限的而且认识上也被局限的个别人们身上的实际的实现二者之间的矛盾,是在人类世代的无穷的——至少对于我们,实际上是无穷的——连续系列之中,是在无穷的前进运动之中解决的。”
  “高等数学的主要基础之一,就是矛盾……”
  “就是初等数学,也充满着矛盾。……”⑻
  列宁也这样说明过矛盾的普遍性:“在数学中,正和负,微分和积分。
  在力学中,作用和反作用。
  在物理学中,阳电和阴电。
  在化学中,原子的化合和分解。
  在社会科学中,阶级斗争。”⑼
  战争中的攻守,进退,胜败,都是矛盾着的现象。失去一方,他方就不存在。双方斗争而又联结,组成了战争的总体,推动了战争的发展,解决了战争的问题。
  人的概念的每一差异,都应把它看作是客观矛盾的反映。客观矛盾反映入主观的思想,组成了概念的矛盾运动,推动了思想的发展,不断地解决了人们的思想问题。
  党内不同思想的对立和斗争是经常发生的,这是社会的阶级矛盾和新旧事物的矛盾在党内的反映。党内如果没有矛盾和解决矛盾的思想斗争,党的生命也就停止了。
  由此看来,不论是简单的运动形式,或复杂的运动形式,不论是客观现象,或思想现象,矛盾是普遍地存在着,矛盾存在于一切过程中,这一点已经弄清楚了。但是每一过程的开始阶段,是否也有矛盾存在呢?是否每一事物的发展过程具有自始至终的矛盾运动呢?
  从苏联哲学界批判德波林学派的文章中看出,德波林学派有这样一种见解,他们认为矛盾不是一开始就在过程中出现,须待过程发展到一定的阶段才出现。那末,在那一时间以前,过程发展的原因不是由于内部的原因,而是由于外部的原因了。这样,德波林回到形而上学的外因论和机械论去了。拿这种见解去分析具体的问题,他们就看见在苏联条件下富农和一般农民之间只有差异,并无矛盾,完全同意了布哈林的意见。在分析法国革命时,他们就认为在革命前,工农资产阶级合组的第三等级中,也只有差异,并无矛盾。德波林学派这类见解是反马克思主义的。他们不知道世界上的每一差异中就已经包含着矛盾,差异就是矛盾。劳资之间,从两阶级发生的时候起,就是互相矛盾的,仅仅还没有激化而已。工农之间,即使在苏联的社会条件下,也有差异,它们的差异就是矛盾,仅仅不会激化成为对抗,不取阶级斗争的形态,不同于劳资间的矛盾;它们在社会主义建设中形成巩固的联盟,并在由社会主义走向共产主义的发展过程中逐渐地解决这个矛盾。这是矛盾的差别性的问题,不是矛盾的有无的问题。矛盾是普遍的、绝对的,存在于事物发展的一切过程中,又贯串于一切过程的始终。
  新过程的发生是什么呢?这是旧的统一和组成此统一的对立成分让位于新的统一和组成此统一的对立成分,于是新过程就代替旧过程而发生。旧过程完结了,新过程发生了。新过程又包含着新矛盾,开始它自己的矛盾发展史。
  事物发展过程的自始至终的矛盾运动,列宁指出马克思在《资本论》中模范地作了这样的分析。这是研究任何事物发展过程所必须应用的方法。列宁自己也正确地应用了它,贯彻于他的全部著作中。
  “马克思在《资本论》中,首先分析的是资产阶级社会(商品社会)里最简单的、最普通的、最基本的、最常见的、最平常的、碰到亿万次的关系——商品交换。这一分析在这个最简单的现象之中(资产阶级社会的这个‘细胞’之中)暴露了现代社会的一切矛盾(以及一切矛盾的胚芽)。往后的叙述又向我们表明了这些矛盾和这个社会各个部分总和的自始至终的发展(增长与运动两者)。”
  列宁说了上面的话之后,接着说道:“这应该是一般辩证法的……叙述(以及研究)方法。”⑽
  中国共产党人必须学会这个方法,才能正确地分析中国革命的历史和现状,并推断革命的将来。

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三 矛盾的特殊性

  矛盾存在于一切事物发展的过程中,矛盾贯串于每一事物发展过程的始终,这是矛盾的普遍性和绝对性,前面已经说过了。现在来说矛盾的特殊性和相对性。
  这个问题,应从几种情形中去研究。
  首先是各种物质运动形式中的矛盾,都带特殊性。人的认识物质,就是认识物质的运动形式,因为除了运动的物质以外,世界上什么也没有,而物质的运动则必取一定的形式。对于物质的每一种运动形式,必须注意它和其他各种运动形式的共同点。但是,尤其重要的,成为我们认识事物的基础的东西,则是必须注意它的特殊点,就是说,注意它和其他运动形式的质的区别。只有注意了这一点,才有可能区别事物。任何运动形式,其内部都包含着本身特殊的矛盾。这种特殊的矛盾,就构成一事物区别于他事物的特殊的本质。这就是世界上诸种事物所以有千差万别的内在的原因,或者叫做根据。自然界存在着许多的运动形式,机械运动、发声、发光、发热、电流、化分、化合等等都是。所有这些物质的运动形式,都是互相依存的,又是本质上互相区别的。每一物质的运动形式所具有的特殊的本质,为它自己的特殊的矛盾所规定。这种情形,不但在自然界中存在着,在社会现象和思想现象中也是同样地存在着。每一种社会形式和思想形式,都有它的特殊的矛盾和特殊的本质。
  科学研究的区分,就是根据科学对象所具有的特殊的矛盾性。因此,对于某一现象的领域所特有的某一种矛盾的研究,就构成某一门科学的对象。例如,数学中的正数和负数,机械学中的作用和反作用,物理学中的阴电和阳电,化学中的化分和化合,社会科学中的生产力和生产关系、阶级和阶级的互相斗争,军事学中的攻击和防御,哲学中的唯心论和唯物论、形而上学观和辩证法观等等,都是因为具有特殊的矛盾和特殊的本质,才构成了不同的科学研究的对象。固然,如果不认识矛盾的普遍性,就无从发现事物运动发展的普遍的原因或普遍的根据;但是,如果不研究矛盾的特殊性,就无从确定一事物不同于他事物的特殊的本质,就无从发现事物运动发展的特殊的原因,或特殊的根据,也就无从辨别事物,无从区分科学研究的领域。
  就人类认识运动的秩序说来,总是由认识个别的和特殊的事物,逐步地扩大到认识一般的事物。人们总是首先认识了许多不同事物的特殊的本质,然后才有可能更进一步地进行概括工作,认识诸种事物的共同的本质。当着人们已经认识了这种共同的本质以后,就以这种共同的认识为指导,继续地向着尚未研究过的或者尚未深入地研究过的各种具体的事物进行研究,找出其特殊的本质,这样才可以补充、丰富和发展这种共同的本质的认识,而使这种共同的本质的认识不致变成枯槁的和僵死的东西。这是两个认识的过程:一个是由特殊到一般,一个是由一般到特殊。人类的认识总是这样循环往复地进行的,而每一次的循环(只要是严格地按照科学的方法)都可能使人类的认识提高一步,使人类的认识不断地深化。我们的教条主义者在这个问题上的错误,就是,一方面,不懂得必须研究矛盾的特殊性,认识各别事物的特殊的本质,才有可能充分地认识矛盾的普遍性,充分地认识诸种事物的共同的本质;另一方面,不懂得在我们认识了事物的共同的本质以后,还必须继续研究那些尚未深入地研究过的或者新冒出来的具体的事物。我们的教条主义者是懒汉,他们拒绝对于具体事物做任何艰苦的研究工作,他们把一般真理看成是凭空出现的东西,把它变成为人们所不能够捉摸的纯粹抽象的公式,完全否认了并且颠倒了这个人类认识真理的正常秩序。他们也不懂得人类认识的两个过程的互相联结——由特殊到一般,又由一般到特殊,他们完全不懂得马克思主义的认识论。
  不但要研究每一个大系统的物质运动形式的特殊的矛盾性及其所规定的本质,而且要研究每一个物质运动形式在其发展长途中的每一个过程的特殊的矛盾及其本质。一切运动形式的每一个实在的非臆造的发展过程内,都是不同质的。我们的研究工作必须着重这一点,而且必须从这一点开始。
  不同质的矛盾,只有用不同质的方法才能解决。例如,无产阶级和资产阶级的矛盾,用社会主义革命的方法去解决;人民大众和封建制度的矛盾,用民主革命的方法去解决;殖民地和帝国主义的矛盾,用民族革命战争的方法去解决;在社会主义社会中工人阶级和农民阶级的矛盾,用农业集体化和农业机械化的方法去解决;共产党内的矛盾,用批评和自我批评的方法去解决;社会和自然的矛盾,用发展生产力的方法去解决。过程变化,旧过程和旧矛盾消灭,新过程和新矛盾发生,解决矛盾的方法也因之而不同。俄国的二月革命和十月革命所解决的矛盾及其所用以解决矛盾的方法是根本上不相同的。用不同的方法去解决不同的矛盾,这是马克思列宁主义者必须严格地遵守的一个原则。教条主义者不遵守这个原则,他们不了解诸种革命情况的区别,因而也不了解应当用不同的方法去解决不同的矛盾,而只是千篇一律地使用一种自以为不可改变的公式到处硬套,这就只能使革命遭受挫折,或者将本来做得好的事情弄得很坏。
  为要暴露事物发展过程中的矛盾在其总体上、在其相互联结上的特殊性,就是说暴露事物发展过程的本质,就必须暴露过程中矛盾各方面的特殊性,否则暴露过程的本质成为不可能,这也是我们作研究工作时必须十分注意的。
  一个大的事物,在其发展过程中,包含着许多的矛盾。例如,在中国资产阶级民主革命过程中,有中国社会各被压迫阶级和帝国主义的矛盾,有人民大众和封建制度的矛盾,有无产阶级和资产阶级的矛盾,有农民及城市小资产阶级和资产阶级的矛盾,有各个反动的统治集团之间的矛盾等等,情形是非常复杂的。这些矛盾,不但各各有其特殊性,不能一律看待,而且每一矛盾的两方面,又各各有其特点,也是不能一律看待的。我们从事中国革命的人,不但要在各个矛盾的总体上,即矛盾的相互联结上,了解其特殊性,而且只有从矛盾的各个方面着手研究,才有可能了解其总体。所谓了解矛盾的各个方面,就是了解它们每一方面各占何等特定的地位,各用何种具体形式和对方发生互相依存又互相矛盾的关系,在互相依存又互相矛盾中,以及依存破裂后,又各用何种具体的方法和对方作斗争。研究这些问题,是十分重要的事情。列宁说:马克思主义的最本质的东西,马克思主义的活的灵魂,就在于具体地分析具体的情况⑾。就是说的这个意思。我们的教条主义者违背列宁的指示,从来不用脑筋具体地分析任何事物,做起文章或演说来,总是空洞无物的八股调,在我们党内造成了一种极坏的作风。
  研究问题,忌带主观性、片面性和表面性。所谓主观性,就是不知道客观地看问题,也就是不知道用唯物的观点去看问题。这一点,我在《实践论》一文中已经说过了。所谓片面性,就是不知道全面地看问题。例如:只了解中国一方、不了解日本一方,只了解共产党一方、不了解国民党一方,只了解无产阶级一方、不了解资产阶级一方,只了解农民一方、不了解地主一方,只了解顺利情形一方、不了解困难情形一方,只了解过去一方、不了解将来一方,只了解个体一方、不了解总体一方,只了解缺点一方、不了解成绩一方,只了解原告一方、不了解被告一方,只了解革命的秘密工作一方、不了解革命的公开工作一方,如此等等。一句话,不了解矛盾各方的特点。这就叫做片面地看问题。或者叫做只看见局部,不看见全体,只看见树木,不看见森林。这样,是不能找出解决矛盾的方法的,是不能完成革命任务的,是不能做好所任工作的,是不能正确地发展党内的思想斗争的。孙子论军事说:“知彼知己,百战不殆。”⑿他说的是作战的双方。唐朝人魏徵说过:“兼听则明,偏信则暗。”⒀也懂得片面性不对。可是我们的同志看问题,往往带片面性,这样的人就往往碰钉子。《水浒传》上宋江三打祝家庄⒁,两次都因情况不明,方法不对,打了败仗。后来改变方法,从调查情形入手,于是熟悉了盘陀路,拆散了李家庄、扈家庄和祝家庄的联盟,并且布置了藏在敌人营盘里的伏兵,用了和外国故事中所说木马计⒂相像的方法,第三次就打了胜仗。《水浒传》上有很多唯物辩证法的事例,这个三打祝家庄,算是最好的一个。列宁说:“要真正地认识对象,就必须把握和研究它的一切方面、一切联系和‘媒介’。我们决不会完全地作到这一点,可是要求全面性,将使我们防止错误,防止僵化。”⒃我们应该记得他的话。表面性,是对矛盾总体和矛盾各方的特点都不去看,否认深入事物里面精细地研究矛盾特点的必要,仅仅站在那里远远地望一望,粗枝大叶地看到一点矛盾的形相,就想动手去解决矛盾(答复问题、解决纠纷、处理工作、指挥战争)。这样的做法,没有不出乱子的。中国的教条主义和经验主义的同志们所以犯错误,就是因为他们看事物的方法是主观的、片面的和表面的。片面性、表面性也是主观性,因为一切客观事物本来是互相联系的和具有内部规律的,人们不去如实地反映这些情况,而只是片面地或表面地去看它们,不认识事物的互相联系,不认识事物的内部规律,所以这种方法是主观主义的。
  不但事物发展的全过程中的矛盾运动,在其相互联结上,在其各方情况上,我们必须注意其特点,而且在过程发展的各个阶段中,也有其特点,也必须注意。
  事物发展过程的根本矛盾及为此根本矛盾所规定的过程的本质,非到过程完结之日,是不会消灭的;但是事物发展的长过程中的各个发展的阶段,情形又往往互相区别。这是因为事物发展过程的根本矛盾的性质和过程的本质虽然没有变化,但是根本矛盾在长过程中的各个发展阶段上采取了逐渐激化的形式。并且,被根本矛盾所规定或影响的许多大小矛盾中,有些是激化了,有些是暂时地或局部地解决了,或者缓和了,又有些是发生了,因此,过程就显出阶段性来。如果人们不去注意事物发展过程中的阶段性,人们就不能适当地处理事物的矛盾。
  例如,自由竞争时代的资本主义发展为帝国主义,这时,无产阶级和资产阶级这两个根本矛盾着的阶级的性质和这个社会的资本主义的本质,并没有变化;但是,两阶级的矛盾激化了,独占资本和自由资本之间的矛盾发生了,宗主国和殖民地的矛盾激化了,各资本主义国家间的矛盾即由各国发展不平衡的状态而引起的矛盾特别尖锐地表现出来了,因此形成了资本主义的特殊阶段,形成了帝国主义阶段。列宁主义之所以成为帝国主义和无产阶级革命时代的马克思主义,就是因为列宁和斯大林正确地说明了这些矛盾,并正确地作出了解决这些矛盾的无产阶级革命的理论和策略。
  拿从辛亥革命⒄开始的中国资产阶级民主革命过程的情形来看,也有了若干特殊阶段。特别是在资产阶级领导时期的革命和在无产阶级领导时期的革命,区别为两个很大不同的历史阶段。这就是:由于无产阶级的领导,根本地改变了革命的面貌,引出了阶级关系的新调度,农民革命的大发动,反帝国主义和反封建主义的革命彻底性,由民主革命转变到社会主义革命的可能性,等等。所有这些,都是在资产阶级领导革命时期不可能出现的。虽然整个过程中根本矛盾的性质,过程之反帝反封建的民主革命的性质(其反面是半殖民地半封建的性质),并没有变化,但是,在这长时间中,经过了辛亥革命失败和北洋军阀统治,第一次民族统一战线的建立和一九二四年至一九二七年的革命,统一战线破裂和资产阶级转入反革命,新的军阀战争,土地革命战争,第二次民族统一战线建立和抗日战争等等大事变,二十多年间经过了几个发展阶段。在这些阶段中,包含着有些矛盾激化了(例如土地革命战争和日本侵入东北四省⒅),有些矛盾部分地或暂时地解决了(例如北洋军阀的被消灭,我们没收了地主的土地),有些矛盾重新发生了(例如新军阀之间的斗争,南方各革命根据地丧失后地主又重新收回土地)等等特殊的情形。
  研究事物发展过程中的各个发展阶段上的矛盾的特殊性,不但必须在其联结上、在其总体上去看,而且必须从各个阶段中矛盾的各个方面去看。
  例如国共两党。国民党方面,在第一次统一战线时期,因为它实行了孙中山的联俄、联共、援助工农的三大政策,所以它是革命的、有朝气的,它是各阶级的民主革命的联盟。一九二七年以后,国民党变到了与此相反的方面,成了地主和大资产阶级的反动集团。一九三六年十二月西安事变⒆后又开始向停止内战、联合共产党共同反对日本帝国主义这个方面转变。这就是国民党在三个阶段上的特点。形成这些特点,当然有种种的原因。中国共产党方面,在第一次统一战线时期,它是幼年的党,它英勇地领导了一九二四年至一九二七年的革命;但在对于革命的性质、任务和方法的认识方面,却表现了它的幼年性,因此在这次革命的后期所发生的陈独秀主义⒇能够起作用,使这次革命遭受了失败。一九二七年以后,它又英勇地领导了土地革命战争,创立了革命的军队和革命的根据地,但是它也犯过冒险主义的错误,使军队和根据地都受了很大的损失。一九三五年以后,它又纠正了冒险主义的错误,领导了新的抗日的统一战线,这个伟大的斗争现在正在发展。在这个阶段上,共产党是一个经过了两次革命的考验、有了丰富的经验的党。这些就是中国共产党在三个阶段上的特点。形成这些特点也有种种的原因。不研究这些特点,就不能了解两党在各个发展阶段上的特殊的相互关系:统一战线的建立,统一战线的破裂,再一个统一战线的建立。而要研究两党的种种特点,更根本的就必须研究这两党的阶级基础以及因此在各个时期所形成的它们和其他方面的矛盾的对立。例如,国民党在它第一次联合共产党的时期,一方面有和国外帝国主义的矛盾,因而它反对帝国主义;另一方面有和国内人民大众的矛盾,它在口头上虽然允许给予劳动人民以许多的利益,但在实际上则只给予很少的利益,或者简直什么也不给。在它进行反共战争的时期,则和帝国主义、封建主义合作反对人民大众,一笔勾销了人民大众原来在革命中所争得的一切利益,激化了它和人民大众的矛盾。现在抗日时期,国民党和日本帝国主义有矛盾,它一面要联合共产党,同时它对共产党和国内人民并不放松其斗争和压迫。共产党则无论在哪一时期,均和人民大众站在一道,反对帝国主义和封建主义;但在现在的抗日时期,由于国民党表示抗日,它对国民党和国内封建势力,也就采取了缓和的政策。由于这些情况,所以或者造成了两党的联合,或者造成了两党的斗争,而且即使在两党联合的时期也有又联合又斗争的复杂的情况。如果我们不去研究这些矛盾方面的特点,我们就不但不能了解这两个党各各和其他方面的关系,也不能了解两党之间的相互关系。
  由此看来,不论研究何种矛盾的特性——各个物质运动形式的矛盾,各个运动形式在各个发展过程中的矛盾,各个发展过程的矛盾的各方面,各个发展过程在其各个发展阶段上的矛盾以及各个发展阶段上的矛盾的各方面,研究所有这些矛盾的特性,都不能带主观随意性,必须对它们实行具体的分析。离开具体的分析,就不能认识任何矛盾的特性。我们必须时刻记得列宁的话:对于具体的事物作具体的分析。
  这种具体的分析,马克思、恩格斯首先给了我们以很好的模范。
  当马克思、恩格斯把这事物矛盾的法则应用到社会历史过程的研究的时候,他们看出生产力和生产关系之间的矛盾,看出剥削阶级和被剥削阶级之间的矛盾以及由于这些矛盾所产生的经济基础和政治及思想等上层建筑之间的矛盾,而这些矛盾如何不可避免地会在各种不同的阶级社会中,引出各种不同的社会革命。
  马克思把这一法则应用到资本主义社会经济结构的研究的时候,他看出这一社会的基本矛盾在于生产的社会性和占有制的私人性之间的矛盾。这个矛盾表现于在各别企业中的生产的有组织性和在全社会中的生产的无组织性之间的矛盾。这个矛盾的阶级表现则是资产阶级和无产阶级之间的矛盾。
  由于事物范围的极其广大,发展的无限性,所以,在一定场合为普遍性的东西,而在另一一定场合则变为特殊性。反之,在一定场合为特殊性的东西,而在另一一定场合则变为普遍性。资本主义制度所包含的生产社会化和生产资料私人占有制的矛盾,是所有有资本主义的存在和发展的各国所共有的东西,对于资本主义说来,这是矛盾的普遍性。但是资本主义的这种矛盾,乃是一般阶级社会发展在一定历史阶段上的东西,对于一般阶级社会中的生产力和生产关系的矛盾说来,这是矛盾的特殊性。然而,当着马克思把资本主义社会这一切矛盾的特殊性解剖出来之后,同时也就更进一步地、更充分地、更完全地把一般阶级社会中这个生产力和生产关系的矛盾的普遍性阐发出来了。
  由于特殊的事物是和普遍的事物联结的,由于每一个事物内部不但包含了矛盾的特殊性,而且包含了矛盾的普遍性,普遍性即存在于特殊性之中,所以,当着我们研究一定事物的时候,就应当去发现这两方面及其互相联结,发现一事物内部的特殊性和普遍性的两方面及其互相联结,发现一事物和它以外的许多事物的互相联结。斯大林在他的名著《论列宁主义基础》一书中说明列宁主义的历史根源的时候,他分析了列宁主义所由产生的国际环境,分析了在帝国主义条件下已经发展到极点的资本主义的诸矛盾,以及这些矛盾使无产阶级革命成为直接实践的问题,并造成了直接冲击资本主义的良好的条件。不但如此,他又分析了为什么俄国成为列宁主义的策源地,分析了沙皇俄国当时是帝国主义一切矛盾的集合点以及俄国无产阶级所以能够成为国际的革命无产阶级的先锋队的原因。这样,斯大林分析了帝国主义的矛盾的普遍性,说明列宁主义是帝国主义和无产阶级革命时代的马克思主义;又分析了沙俄帝国主义在这一般矛盾中所具有的特殊性,说明俄国成了无产阶级革命理论和策略的故乡,而在这种特殊性中间就包含了矛盾的普遍性。斯大林的这种分析,给我们提供了认识矛盾的特殊性和普遍性及其互相联结的模范。
  马克思和恩格斯,同样地列宁和斯大林,他们对于应用辩证法到客观现象的研究的时候,总是指导人们不要带上任何的主观随意性,而必须从客观的实际运动所包含的具体的条件,去看出这些现象中的具体的矛盾、矛盾各方面的具体的地位以及矛盾的具体的相互关系。我们的教条主义者因为没有这种研究态度,所以弄得一无是处。我们必须以教条主义的失败为鉴戒,学会这种研究态度,舍此没有第二种研究法。
  矛盾的普遍性和矛盾的特殊性的关系,就是矛盾的共性和个性的关系。其共性是矛盾存在于一切过程中,并贯串于一切过程的始终,矛盾即是运动,即是事物,即是过程,也即是思想。否认事物的矛盾就是否认了一切。这是共通的道理,古今中外,概莫能外。所以它是共性,是绝对性。然而这种共性,即包含于一切个性之中,无个性即无共性。假如除去一切个性,还有什么共性呢?因为矛盾的各各特殊,所以造成了个性。一切个性都是有条件地暂时地存在的,所以是相对的。
  这一共性个性、绝对相对的道理,是关于事物矛盾的问题的精髓,不懂得它,就等于抛弃了辩证法。

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四 主要的矛盾和主要的矛盾方面

  在矛盾特殊性的问题中,还有两种情形必须特别地提出来加以分析,这就是主要的矛盾和主要的矛盾方面。
  在复杂的事物的发展过程中,有许多的矛盾存在,其中必有一种是主要的矛盾,由于它的存在和发展规定或影响着其他矛盾的存在和发展。
  例如在资本主义社会中,无产阶级和资产阶级这两个矛盾着的力量是主要的矛盾;其他的矛盾力量,例如,残存的封建阶级和资产阶级的矛盾,农民小资产者和资产阶级的矛盾,无产阶级和农民小资产者的矛盾,自由资产阶级和垄断资产阶级的矛盾,资产阶级的民主主义和资产阶级的法西斯主义的矛盾,资本主义国家相互间的矛盾,帝国主义和殖民地的矛盾,以及其他的矛盾,都为这个主要的矛盾力量所规定、所影响。
  半殖民地的国家如中国,其主要矛盾和非主要矛盾的关系呈现着复杂的情况。
  当着帝国主义向这种国家举行侵略战争的时候,这种国家的内部各阶级,除开一些叛国分子以外,能够暂时地团结起来举行民族战争去反对帝国主义。这时,帝国主义和这种国家之间的矛盾成为主要的矛盾,而这种国家内部各阶级的一切矛盾(包括封建制度和人民大众之间这个主要矛盾在内),便都暂时地降到次要和服从的地位。中国一八四○年的鸦片战争(21),一八九四年的中日战争(22),一九○○年的义和团战争(23)和目前的中日战争,都有这种情形。
  然而在另一种情形之下,则矛盾的地位起了变化。当着帝国主义不是用战争压迫而是用政治、经济、文化等比较温和的形式进行压迫的时候,半殖民地国家的统治阶级就会向帝国主义投降,二者结成同盟,共同压迫人民大众。这种时候,人民大众往往采取国内战争的形式,去反对帝国主义和封建阶级的同盟,而帝国主义则往往采取间接的方式去援助半殖民地国家的反动派压迫人民,而不采取直接行动,显出了内部矛盾的特别尖锐性。中国的辛亥革命战争,一九二四年至一九二七年的革命战争,一九二七年以后的十年土地革命战争,都有这种情形。还有半殖民地国家各个反动的统治集团之间的内战,例如在中国的军阀战争,也属于这一类。
  当着国内革命战争发展到从根本上威胁帝国主义及其走狗国内反动派的存在的时候,帝国主义就往往采取上述方法以外的方法,企图维持其统治:或者分化革命阵线的内部,或者直接出兵援助国内反动派。这时,外国帝国主义和国内反动派完全公开地站在一个极端,人民大众则站在另一极端,成为一个主要矛盾,而规定或影响其他矛盾的发展状态。十月革命后各资本主义国家援助俄国反动派,是武装干涉的例子。一九二七年的蒋介石的叛变,是分化革命阵线的例子。
  然而不管怎样,过程发展的各个阶段中,只有一种主要的矛盾起着领导的作用,是完全没有疑义的。
  由此可知,任何过程如果有多数矛盾存在的话,其中必定有一种是主要的,起着领导的、决定的作用,其他则处于次要和服从的地位。因此,研究任何过程,如果是存在着两个以上矛盾的复杂过程的话,就要用全力找出它的主要矛盾。捉住了这个主要矛盾,一切问题就迎刃而解了。这是马克思研究资本主义社会告诉我们的方法。列宁和斯大林研究帝国主义和资本主义总危机的时候,列宁和斯大林研究苏联经济的时候,也告诉了这种方法。万千的学问家和实行家,不懂得这种方法,结果如堕烟海,找不到中心,也就找不到解决矛盾的方法。
  不能把过程中所有的矛盾平均看待,必须把它们区别为主要的和次要的两类,着重于捉住主要的矛盾,已如上述。但是在各种矛盾之中,不论是主要的或次要的,矛盾着的两个方面,又是否可以平均看待呢?也是不可以的。无论什么矛盾,矛盾的诸方面,其发展是不平衡的。有时候似乎势均力敌,然而这只是暂时的和相对的情形,基本的形态则是不平衡。矛盾着的两方面中,必有一方面是主要的,他方面是次要的。其主要的方面,即所谓矛盾起主导作用的方面。事物的性质,主要地是由取得支配地位的矛盾的主要方面所规定的。
  然而这种情形不是固定的,矛盾的主要和非主要的方面互相转化着,事物的性质也就随着起变化。在矛盾发展的一定过程或一定阶段上,主要方面属于甲方,非主要方面属于乙方;到了另一发展阶段或另一发展过程时,就互易其位置,这是依靠事物发展中矛盾双方斗争的力量的增减程度来决定的。
  我们常常说“新陈代谢”这句话。新陈代谢是宇宙间普遍的永远不可抵抗的规律。依事物本身的性质和条件,经过不同的飞跃形式,一事物转化为他事物,就是新陈代谢的过程。任何事物的内部都有其新旧两个方面的矛盾,形成为一系列的曲折的斗争。斗争的结果,新的方面由小变大,上升为支配的东西;旧的方面则由大变小,变成逐步归于灭亡的东西。而一当新的方面对于旧的方面取得支配地位的时候,旧事物的性质就变化为新事物的性质。由此可见,事物的性质主要地是由取得支配地位的矛盾的主要方面所规定的。取得支配地位的矛盾的主要方面起了变化,事物的性质也就随着起变化。
  在资本主义社会中,资本主义已从旧的封建主义社会时代的附庸地位,转化成了取得支配地位的力量,社会的性质也就由封建主义的变为资本主义的。在新的资本主义社会时代,封建势力则由原来处在支配地位的力量转化为附庸的力量,随着也就逐步地归于消灭了,例如英法诸国就是如此。随着生产力的发展,资产阶级由新的起进步作用的阶级,转化为旧的起反动作用的阶级,以至于最后被无产阶级所推翻,而转化为私有的生产资料被剥夺和失去权力的阶级,这个阶级也就要逐步归于消灭了。人数比资产阶级多得多、并和资产阶级同时生长、但被资产阶级统治着的无产阶级,是一个新的力量,它由初期的附属于资产阶级的地位,逐步地壮大起来,成为独立的和在历史上起主导作用的阶级,以至最后夺取政权成为统治阶级。这时,社会的性质,就由旧的资本主义的社会转化成了新的社会主义的社会。这就是苏联已经走过和一切其他国家必然要走的道路。
  就中国的情形来说,帝国主义处在形成半殖民地这种矛盾的主要地位,压迫中国人民,中国则由独立国变为半殖民地。然而事情必然会变化,在双方斗争的局势中,中国人民在无产阶级领导之下所生长起来的力量必然会把中国由半殖民地变为独立国,而帝国主义则将被打倒,旧中国必然要变为新中国。
  旧中国变为新中国,还包含着国内旧的封建势力和新的人民势力之间的情况的变化。旧的封建地主阶级将被打倒,由统治者变为被统治者,这个阶级也就会要逐步归于消灭。人民则将在无产阶级领导之下,由被统治者变为统治者。这时,中国社会的性质就会起变化,由旧的半殖民地和半封建的社会变为新的民主的社会。
  这种互相转化的事情,过去已有经验。统治中国将近三百年的清朝帝国,曾在辛亥革命时期被打倒;而孙中山领导的革命同盟会,则曾经一度取得了胜利。在一九二四年至一九二七年的革命战争中,共产党和国民党联合的南方革命势力,曾经由弱小的力量变得强大起来,取得了北伐的胜利;而称雄一时的北洋军阀则被打倒了。一九二七年,共产党领导的人民力量,受了国民党反动势力的打击,变得很小了;但因肃清了自己内部的机会主义,就又逐步地壮大起来。在共产党领导的革命根据地内,农民由被统治者转化为统治者,地主则作了相反的转化。世界上总是这样以新的代替旧的,总是这样新陈代谢、除旧布新或推陈出新的。
  革命斗争中的某些时候,困难条件超过顺利条件,在这种时候,困难是矛盾的主要方面,顺利是其次要方面。然而由于革命党人的努力,能够逐步地克服困难,开展顺利的新局面,困难的局面让位于顺利的局面。一九二七年中国革命失败后的情形,中国红军在长征(24)中的情形,都是如此。现在的中日战争,中国又处在困难地位,但是我们能够改变这种情况,使中日双方的情况发生根本的变化。在相反的情形之下,顺利也能转化为困难,如果是革命党人犯了错误的话。一九二四年至一九二七年的革命的胜利,变为失败了。一九二七年以后在南方各省发展起来的革命根据地,至一九三四年都失败了。
  研究学问的时候,由不知到知的矛盾也是如此。当着我们刚才开始研究马克思主义的时候,对于马克思主义的无知或知之不多的情况,和马克思主义的知识之间,互相矛盾着。然而由于努力学习,可以由无知转化为有知,由知之不多转化为知之甚多,由对于马克思主义的盲目性改变为能够自由运用马克思主义。
  有人觉得有些矛盾并不是这样。例如,生产力和生产关系的矛盾,生产力是主要的;理论和实践的矛盾,实践是主要的;经济基础和上层建筑的矛盾,经济基础是主要的:它们的地位并不互相转化。这是机械唯物论的见解,不是辩证唯物论的见解。诚然,生产力、实践、经济基础,一般地表现为主要的决定的作用,谁不承认这一点,谁就不是唯物论者。然而,生产关系、理论、上层建筑这些方面,在一定条件之下,又转过来表现其为主要的决定的作用,这也是必须承认的。当着不变更生产关系,生产力就不能发展的时候,生产关系的变更就起了主要的决定的作用。当着如同列宁所说“没有革命的理论,就不会有革命的运动”(25)的时候,革命理论的创立和提倡就起了主要的决定的作用。当着某一件事情(任何事情都是一样)要做,但是还没有方针、方法、计划或政策的时候,确定方针、方法、计划或政策,也就是主要的决定的东西。当着政治文化等等上层建筑阻碍着经济基础的发展的时候,对于政治上和文化上的革新就成为主要的决定的东西了。我们这样说,是否违反了唯物论呢?没有。因为我们承认总的历史发展中是物质的东西决定精神的东西,是社会的存在决定社会的意识;但是同时又承认而且必须承认精神的东西的反作用,社会意识对于社会存在的反作用,上层建筑对于经济基础的反作用。这不是违反唯物论,正是避免了机械唯物论,坚持了辩证唯物论。
  在研究矛盾特殊性的问题中,如果不研究过程中主要的矛盾和非主要的矛盾以及矛盾之主要的方面和非主要的方面这两种情形,也就是说不研究这两种矛盾情况的差别性,那就将陷入抽象的研究,不能具体地懂得矛盾的情况,因而也就不能找出解决矛盾的正确的方法。这两种矛盾情况的差别性或特殊性,都是矛盾力量的不平衡性。世界上没有绝对地平衡发展的东西,我们必须反对平衡论,或均衡论。同时,这种具体的矛盾状况,以及矛盾的主要方面和非主要方面在发展过程中的变化,正是表现出新事物代替旧事物的力量。对于矛盾的各种不平衡情况的研究,对于主要的矛盾和非主要的矛盾、主要的矛盾方面和非主要的矛盾方面的研究,成为革命政党正确地决定其政治上和军事上的战略战术方针的重要方法之一,是一切共产党人都应当注意的。

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五 矛盾诸方面的同一性和斗争性

  在懂得了矛盾的普遍性和特殊性的问题之后,我们必须进而研究矛盾诸方面的同一性和斗争性的问题。
  同一性、统一性、一致性、互相渗透、互相贯通、互相依赖(或依存)、互相联结或互相合作,这些不同的名词都是一个意思,说的是如下两种情形:第一、事物发展过程中的每一种矛盾的两个方面,各以和它对立着的方面为自己存在的前提,双方共处于一个统一体中;第二、矛盾着的双方,依据一定的条件,各向着其相反的方面转化。这些就是所谓同一性。
  列宁说:“辩证法是这样的一种学说:它研究对立怎样能够是同一的,又怎样成为同一的(怎样变成同一的),——在怎样的条件之下它们互相转化,成为同一的,——为什么人的头脑不应当把这些对立看作死的、凝固的东西,而应当看作生动的、有条件的、可变动的、互相转化的东西。”(26)
  列宁这段话是什么意思呢?
  一切过程中矛盾着的各方面,本来是互相排斥、互相斗争、互相对立的。世界上一切事物的过程里和人们的思想里,都包含着这样带矛盾性的方面,无一例外。单纯的过程只有一对矛盾,复杂的过程则有一对以上的矛盾。各对矛盾之间,又互相成为矛盾。这样地组成客观世界的一切事物和人们的思想,并推使它们发生运动。
  如此说来,只是极不同一,极不统一,怎样又说是同一或统一呢?
  原来矛盾着的各方面,不能孤立地存在。假如没有和它作对的矛盾的一方,它自己这一方就失去了存在的条件。试想一切矛盾着的事物或人们心中矛盾着的概念,任何一方面能够独立地存在吗?没有生,死就不见;没有死,生也不见。没有上,无所谓下;没有下,也无所谓上。没有祸,无所谓福;没有福,也无所谓祸。没有顺利,无所谓困难;没有困难,也无所谓顺利。没有地主,就没有佃农;没有佃农,也就没有地主。没有资产阶级,就没有无产阶级;没有无产阶级,也就没有资产阶级。没有帝国主义的民族压迫,就没有殖民地和半殖民地;没有殖民地和半殖民地,也就没有帝国主义的民族压迫。一切对立的成分都是这样,因一定的条件,一面互相对立,一面又互相联结、互相贯通、互相渗透、互相依赖,这种性质,叫做同一性。一切矛盾着的方面都因一定条件具备着不同一性,所以称为矛盾。然而又具备着同一性,所以互相联结。列宁所谓辩证法研究“对立怎样能够是同一的”,就是说的这种情形。怎样能够呢?因为互为存在的条件。这是同一性的第一种意义。
  然而单说了矛盾双方互为存在的条件,双方之间有同一性,因而能够共处于一个统一体中,这样就够了吗?还不够。事情不是矛盾双方互相依存就完了,更重要的,还在于矛盾着的事物的互相转化。这就是说,事物内部矛盾着的两方面,因为一定的条件而各向着和自己相反的方面转化了去,向着它的对立方面所处的地位转化了去。这就是矛盾的同一性的第二种意义。
  为什么这里也有同一性呢?你们看,被统治的无产阶级经过革命转化为统治者,原来是统治者的资产阶级却转化为被统治者,转化到对方原来所占的地位。苏联已经是这样做了,全世界也将要这样做。试问其间没有在一定条件之下的联系和同一性,如何能够发生这样的变化呢?
  曾在中国近代历史的一定阶段上起过某种积极作用的国民党,因为它的固有的阶级性和帝国主义的引诱(这些就是条件),在一九二七年以后转化为反革命,又由于中日矛盾的尖锐化和共产党的统一战线政策(这些就是条件),而被迫着赞成抗日。矛盾着的东西这一个变到那一个,其间包含了一定的同一性。
  我们实行过的土地革命,已经是并且还将是这样的过程,拥有土地的地主阶级转化为失掉土地的阶级,而曾经是失掉土地的农民却转化为取得土地的小私有者。有无、得失之间,因一定条件而互相联结,二者具有同一性。在社会主义条件之下,农民的私有制又将转化为社会主义农业的公有制,苏联已经这样做了,全世界将来也会这样做。私产和公产之间有一条由此达彼的桥梁,哲学上名之曰同一性,或互相转化、互相渗透。
  巩固无产阶级的专政或人民的专政,正是准备着取消这种专政,走到消灭任何国家制度的更高阶段去的条件。建立和发展共产党,正是准备着消灭共产党和一切政党制度的条件。建立共产党领导的革命军,进行革命战争,正是准备着永远消灭战争的条件。这许多相反的东西,同时却是相成的东西。
  大家知道,战争与和平是互相转化的。战争转化为和平,例如第一次世界大战转化为战后的和平,中国的内战现在也停止了,出现了国内的和平。和平转化为战争,例如一九二七年的国共合作转化为战争,现在的世界和平局面也可能转化为第二次世界大战。为什么是这样?因为在阶级社会中战争与和平这样矛盾着的事物,在一定条件下具备着同一性。
  一切矛盾着的东西,互相联系着,不但在一定条件之下共处于一个统一体中,而且在一定条件之下互相转化,这就是矛盾的同一性的全部意义。列宁所谓“怎样成为同一的(怎样变成同一的),——在怎样的条件之下它们互相转化,成为同一的”,就是这个意思。
  “为什么人的头脑不应当把这些对立看作死的、凝固的东西,而应当看作生动的、有条件的、可变动的、互相转化的东西”呢?因为客观事物本来是如此的。客观事物中矛盾着的诸方面的统一或同一性,本来不是死的、凝固的,而是生动的、有条件的、可变动的、暂时的、相对的东西,一切矛盾都依一定条件向它们的反面转化着。这种情况,反映在人们的思想里,就成了马克思主义的唯物辩证法的宇宙观。只有现在的和历史上的反动的统治阶级以及为他们服务的形而上学,不是把对立的事物当作生动的、有条件的、可变动的、互相转化的东西去看,而是当作死的、凝固的东西去看,并且把这种错误的看法到处宣传,迷惑人民群众,以达其继续统治的目的。共产党人的任务就在于揭露反动派和形而上学的错误思想,宣传事物的本来的辩证法,促成事物的转化,达到革命的目的。
  所谓矛盾在一定条件下的同一性,就是说,我们所说的矛盾乃是现实的矛盾,具体的矛盾,而矛盾的互相转化也是现实的、具体的。神话中的许多变化,例如《山海经》中所说的“夸父追日”(27),《淮南子》中所说的“羿射九日”(28),《西游记》中所说的孙悟空七十二变(29)和《聊斋志异》(30)中的许多鬼狐变人的故事等等,这种神话中所说的矛盾的互相变化,乃是无数复杂的现实矛盾的互相变化对于人们所引起的一种幼稚的、想象的、主观幻想的变化,并不是具体的矛盾所表现出来的具体的变化。马克思说:“任何神话都是用想象和借助想象以征服自然力,支配自然力,把自然力加以形象化;因而,随着这些自然力之实际上被支配,神话也就消失了。”(31)这种神话中的(还有童话中的)千变万化的故事,虽然因为它们想象出人们征服自然力等等,而能够吸引人们的喜欢,并且最好的神话具有“永久的魅力”(32)(马克思),但神话并不是根据具体的矛盾之一定的条件而构成的,所以它们并不是现实之科学的反映。这就是说,神话或童话中矛盾构成的诸方面,并不是具体的同一性,只是幻想的同一性。科学地反映现实变化的同一性的,就是马克思主义的辩证法。
  为什么鸡蛋能够转化为鸡子,而石头不能够转化为鸡子呢?为什么战争与和平有同一性,而战争与石头却没有同一性呢?为什么人能生人不能生出其他的东西呢?没有别的,就是因为矛盾的同一性要在一定的必要的条件之下。缺乏一定的必要的条件,就没有任何的同一性。
  为什么俄国在一九一七年二月的资产阶级民主革命和同年十月的无产阶级社会主义革命直接地联系着,而法国资产阶级革命没有直接地联系于社会主义的革命,一八七一年的巴黎公社终于失败了呢?为什么蒙古和中亚细亚的游牧制度又直接地和社会主义联系了呢?为什么中国的革命可以避免资本主义的前途,可以和社会主义直接联系起来,不要再走西方国家的历史老路,不要经过一个资产阶级专政的时期呢?没有别的,都是由于当时的具体条件。一定的必要的条件具备了,事物发展的过程就发生一定的矛盾,而且这种或这些矛盾互相依存,又互相转化,否则,一切都不可能。
  同一性的问题如此。那末,什么是斗争性呢?同一性和斗争性的关系是怎样的呢?
  列宁说:“对立的统一(一致、同一、合一),是有条件的、一时的、暂存的、相对的。互相排斥的对立的斗争则是绝对的,正如发展、运动是绝对的一样。”(33)
  列宁这段话是什么意思呢?
  一切过程都有始有终,一切过程都转化为它们的对立物。一切过程的常住性是相对的,但是一种过程转化为他种过程的这种变动性则是绝对的。
  无论什么事物的运动都采取两种状态,相对地静止的状态和显著地变动的状态。两种状态的运动都是由事物内部包含的两个矛盾着的因素互相斗争所引起的。当着事物的运动在第一种状态的时候,它只有数量的变化,没有性质的变化,所以显出好似静止的面貌。当着事物的运动在第二种状态的时候,它已由第一种状态中的数量的变化达到了某一个最高点,引起了统一物的分解,发生了性质的变化,所以显出显著地变化的面貌。我们在日常生活中所看见的统一、团结、联合、调和、均势、相持、僵局、静止、有常、平衡、凝聚、吸引等等,都是事物处在量变状态中所显现的面貌。而统一物的分解,团结、联合、调和、均势、相持、僵局、静止、有常、平衡、凝聚、吸引等等状态的破坏,变到相反的状态,便都是事物在质变状态中、在一种过程过渡到他种过程的变化中所显现的面貌。事物总是不断地由第一种状态转化为第二种状态,而矛盾的斗争则存在于两种状态中,并经过第二种状态而达到矛盾的解决。所以说,对立的统一是有条件的、暂时的、相对的,而对立的互相排除的斗争则是绝对的。
  前面我们曾经说,两个相反的东西中间有同一性,所以二者能够共处于一个统一体中,又能够互相转化,这是说的条件性,即是说在一定条件之下,矛盾的东西能够统一起来,又能够互相转化;无此一定条件,就不能成为矛盾,不能共居,也不能转化。由于一定的条件才构成了矛盾的同一性,所以说同一性是有条件的、相对的。这里我们又说,矛盾的斗争贯串于过程的始终,并使一过程向着他过程转化,矛盾的斗争无所不在,所以说矛盾的斗争性是无条件的、绝对的。
  有条件的相对的同一性和无条件的绝对的斗争性相结合,构成了一切事物的矛盾运动。
  我们中国人常说:“相反相成。”(34)就是说相反的东西有同一性。这句话是辩证法的,是违反形而上学的。“相反”就是说两个矛盾方面的互相排斥,或互相斗争。“相成”就是说在一定条件之下两个矛盾方面互相联结起来,获得了同一性。而斗争性即寓于同一性之中,没有斗争性就没有同一性。
  在同一性中存在着斗争性,在特殊性中存在着普遍性,在个性中存在着共性。拿列宁的话来说,叫做“在相对的东西里面有着绝对的东西”(35)。

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六 对抗在矛盾中的地位

  在矛盾的斗争性的问题中,包含着对抗是什么的问题。我们回答道:对抗是矛盾斗争的一种形式,而不是矛盾斗争的一切形式。
  在人类历史中,存在着阶级的对抗,这是矛盾斗争的一种特殊的表现。剥削阶级和被剥削阶级之间的矛盾,无论在奴隶社会也好,封建社会也好,资本主义社会也好,互相矛盾着的两阶级,长期地并存于一个社会中,它们互相斗争着,但要待两阶级的矛盾发展到了一定的阶段的时候,双方才取外部对抗的形式,发展为革命。阶级社会中,由和平向战争的转化,也是如此。
  炸弹在未爆炸的时候,是矛盾物因一定条件共居于一个统一体中的时候。待至新的条件(发火)出现,才发生了爆炸。自然界中一切到了最后要采取外部冲突形式去解决旧矛盾产生新事物的现象,都有与此相仿佛的情形。
  认识这种情形,极为重要。它使我们懂得,在阶级社会中,革命和革命战争是不可避免的,舍此不能完成社会发展的飞跃,不能推翻反动的统治阶级,而使人民获得政权。共产党人必须揭露反动派所谓社会革命是不必要的和不可能的等等欺骗的宣传,坚持马克思列宁主义的社会革命论,使人民懂得,这不但是完全必要的,而且是完全可能的,整个人类的历史和苏联的胜利,都证明了这个科学的真理。
  但是我们必须具体地研究各种矛盾斗争的情况,不应当将上面所说的公式不适当地套在一切事物的身上。矛盾和斗争是普遍的、绝对的,但是解决矛盾的方法,即斗争的形式,则因矛盾的性质不同而不相同。有些矛盾具有公开的对抗性,有些矛盾则不是这样。根据事物的具体发展,有些矛盾是由原来还非对抗性的,而发展成为对抗性的;也有些矛盾则由原来是对抗性的,而发展成为非对抗性的。
  共产党内正确思想和错误思想的矛盾,如前所说,在阶级存在的时候,这是阶级矛盾对于党内的反映。这种矛盾,在开始的时候,或在个别的问题上,并不一定马上表现为对抗性的。但随着阶级斗争的发展,这种矛盾也就可能发展为对抗性的。苏联共产党的历史告诉我们:列宁、斯大林的正确思想和托洛茨基、布哈林等人的错误思想的矛盾,在开始的时候还没有表现为对抗的形式,但随后就发展为对抗的了。中国共产党的历史也有过这样的情形。我们党内许多同志的正确思想和陈独秀、张国焘(36)等人的错误思想的矛盾,在开始的时候也没有表现为对抗的形式,但随后就发展为对抗的了。目前我们党内的正确思想和错误思想的矛盾,没有表现为对抗的形式,如果犯错误的同志能够改正自己的错误,那就不会发展为对抗性的东西。因此,党一方面必须对于错误思想进行严肃的斗争,另方面又必须充分地给犯错误的同志留有自己觉悟的机会。在这样的情况下,过火的斗争,显然是不适当的。但如果犯错误的人坚持错误,并扩大下去,这种矛盾也就存在着发展为对抗性的东西的可能性。
  经济上城市和乡村的矛盾,在资本主义社会里面(那里资产阶级统治的城市残酷地掠夺乡村),在中国的国民党统治区域里面(那里外国帝国主义和本国买办大资产阶级所统治的城市极野蛮地掠夺乡村),那是极其对抗的矛盾。但在社会主义国家里面,在我们的革命根据地里面,这种对抗的矛盾就变为非对抗的矛盾,而当到达共产主义社会的时候,这种矛盾就会消灭。
  列宁说:“对抗和矛盾断然不同。在社会主义下,对抗消灭了,矛盾存在着。”(37)这就是说,对抗只是矛盾斗争的一种形式,而不是它的一切形式,不能到处套用这个公式。

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七 结  论

  说到这里,我们可以总起来说几句。事物矛盾的法则,即对立统一的法则,是自然和社会的根本法则,因而也是思维的根本法则。它是和形而上学的宇宙观相反的。它对于人类的认识史是一个大革命。按照辩证唯物论的观点看来,矛盾存在于一切客观事物和主观思维的过程中,矛盾贯串于一切过程的始终,这是矛盾的普遍性和绝对性。矛盾着的事物及其每一个侧面各有其特点,这是矛盾的特殊性和相对性。矛盾着的事物依一定的条件有同一性,因此能够共居于一个统一体中,又能够互相转化到相反的方面去,这又是矛盾的特殊性和相对性。然而矛盾的斗争则是不断的,不管在它们共居的时候,或者在它们互相转化的时候,都有斗争的存在,尤其是在它们互相转化的时候,斗争的表现更为显著,这又是矛盾的普遍性和绝对性。当着我们研究矛盾的特殊性和相对性的时候,要注意矛盾和矛盾方面的主要的和非主要的区别;当着我们研究矛盾的普遍性和斗争性的时候,要注意矛盾的各种不同的斗争形式的区别。否则就要犯错误。如果我们经过研究真正懂得了上述这些要点,我们就能够击破违反马克思列宁主义基本原则的不利于我们的革命事业的那些教条主义的思想;也能够使有经验的同志们整理自己的经验,使之带上原则性,而避免重复经验主义的错误。这些,就是我们研究矛盾法则的一些简单的结论。

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  注  释
  〔1〕 见列宁《黑格尔〈哲学史讲演录〉一书摘要》(《列宁全集》第55卷,人民出版社1990年版,第213页)。
  〔2〕参见列宁《谈谈辩证法问题》:“统一物之分为两个部分以及对它的矛盾着的部分的认识……,是辩证法的实质(是辩证法的‘本质’之一,是它的基本的特点或特征之一,甚至可说是它的最基本的特点或特征)。”并参见《黑格尔〈逻辑学〉一书摘要》中关于“辩证法的要素”部分:“可以把辩证法简要地规定为关于对立面的统一的学说。这样就会抓住辩证法的核心,可是这需要说明和发挥。”(《列宁全集》第55卷,人民出版社1990年版,第305、192页)
  〔3〕德波林(一八八一——一九六三),苏联哲学家。一九二九年当选为苏联科学院院士。三十年代初,苏联哲学界发动对德波林学派的批判,认为他们犯了理论脱离实践、哲学脱离政治等唯心主义性质的错误。
  〔4〕见列宁《谈谈辩证法问题》。新的译文是:“有两种基本的(或两种可能的?或两种在历史上常见的?)发展(进化)观点:认为发展是减少和增加,是重复;以及认为发展是对立面的统一(统一物之分为两个互相排斥的对立面以及它们之间的相互关系)。”(《列宁全集》第55卷,人民出版社1990年版,第306页)
  〔5〕见《汉书·董仲舒传》。董仲舒(公元前一七九——前一○四)是孔子学派在西汉的主要代表,他曾经对汉武帝说:“道之大原出于天,天不变,道亦不变。”“道”是中国古代哲学家的通用语,它的意义是“道路”或“道理”,可作“法则”或“规律”解说。
  〔6〕 见恩格斯《反杜林论》第一编第十二节《辩证法。量和质》(《马克思恩格斯选集》第3卷,人民出版社1972年版,第160页)。
  〔7〕见列宁《谈谈辩证法问题》。新的译文是:“承认(发现)自然界的(也包括精神的和社会的)一切现象和过程具有矛盾着的、相互排斥的、对立的倾向。”(《列宁全集》第55卷,人民出版社1990年版,第306页)
  〔8〕以上所引恩格斯的三段话,均见恩格斯《反杜林论》第一编第十二节《辩证法。量和质》。其中第二段“高等数学的主要基础之一,就是矛盾……”,《反杜林论》中的原文是:“我们已经提到,高等数学的主要基础之一是这样一个矛盾:在一定条件下直线和曲线应当是一回事。高等数学还有另一个矛盾:在我们眼前相交的线,只要离开交点五六厘米,就应当认为是平行的、即使无限延长也不会相交的线。可是,高等数学利用这些和其他一些更加尖锐的矛盾获得了不仅是正确的、而且是初等数学所完全不能达到的成果。”(《马克思恩格斯选集》第3卷,人民出版社1972年版,第160—161页)
  〔9〕 见列宁《谈谈辩证法问题》(《列宁全集》第55卷,人民出版社1990年版,第305—306页)。
  〔10〕见列宁《谈谈辩证法问题》(《列宁全集》第55卷,人民出版社1990年版,第307页)。
  〔11〕 参见本卷《中国革命战争的战略问题》注〔11〕。
  〔12〕 见《孙子·谋攻》。
  〔13〕 魏徵(五八○——六四三),唐代初期的政治活动家和历史学家。本文引语见《资治通鉴》卷一百九十二。
  〔14〕《水浒传》是中国描写农民战争的著名小说。宋江是这部小说中农民武装的主要领袖。祝家庄在农民武装根据地梁山泊的附近,这个庄的统治者祝朝奉,是一个大恶霸地主。
  〔15〕木马计是希腊神话中的一个著名故事。据传说,古希腊人攻打特洛伊城,很久打不下来。后来,他们伪装撤退,在城下营房中留下了一匹腹内藏有一批勇士的大木马。特洛伊人不知道这是敌人的计策,把木马作为战利品拉进城去。深夜,勇士们走出木马,利用特洛伊人毫无戒备的时机,配合城外的军队,迅速地夺取了特洛伊城。
  〔16〕见列宁《再论工会、目前局势及托洛茨基同志和布哈林同志的错误》。新的译文是:“要真正地认识事物,就必须把握住、研究清楚它的一切方面、一切联系和‘中介’。我们永远也不会完全做到这一点,但是,全面性这一要求可以使我们防止犯错误和防止僵化。”(《列宁全集》第40卷,人民出版社1986年版,第291页)
  〔17〕 见本卷《湖南农民运动考察报告》注〔3〕。
  〔18〕 见本卷《论反对日本帝国主义的策略》注〔5〕。
  〔19〕参见本卷《关于蒋介石声明的声明》注〔1〕。
  〔20〕 见本卷《中国革命战争的战略问题》注〔4〕。
  〔21〕见本卷《论反对日本帝国主义的策略》注〔35〕。
  〔22〕一八九四年(甲午年)发生的中日战争,也称甲午战争。这次战争是日本军国主义者蓄意挑起的。日本军队先向朝鲜发动侵略并对中国的陆海军进行挑衅,继即大举侵入中国的东北。在战争中,中国军队曾经英勇作战,但是由于清朝政府的腐败以及缺乏坚决反对侵略的准备,中国方面遭到了失败。一八九五年,清朝政府和日本订立了可耻的马关条约,这个条约的主要内容是:中国割让台湾全岛及所有附属各岛屿、澎湖列岛和辽东半岛(后来在俄、德、法三国干涉下,日本同意由清政府偿付白银三千万两“赎还”该半岛),赔偿军费银二万万两,允许日本人在中国通商口岸开设工厂,开辟沙市、重庆、苏州、杭州等地为商埠。
  〔23〕 见本卷《论反对日本帝国主义的策略》注〔37〕。
  〔24〕 参见本卷《论反对日本帝国主义的策略》注〔22〕。
  〔25〕见列宁《俄国社会民主党人的任务》(《列宁全集》第2卷,人民出版社1984年版,第443页);并见列宁《怎么办?》第一章第四节(《列宁全集》第6卷,人民出版社1986年版,第23页)。
  〔26〕见列宁《黑格尔〈逻辑学〉一书摘要》。新的译文是:“辩证法是一种学说,它研究对立面怎样才能够同一,是怎样(怎样成为)同一的——在什么条件下它们是相互转化而同一的,——为什么人的头脑不应该把这些对立面看作僵死的、凝固的东西,而应该看作活生生的、有条件的、活动的、彼此转化的东西。”(《列宁全集》第55卷,人民出版社1990年版,第90页)
  〔27〕《山海经》是一部中国古代地理著作,其中记载了不少远古的神话传说。夸父是《山海经·海外北经》上记载的一个神人。据说:“夸父与日逐走。入日,渴欲得饮,饮于河渭。河渭不足,北饮大泽。未至,道渴而死。弃其杖,化为邓林。”
  〔28〕羿是中国古代传说中的英雄,“射日”是关于他善射的著名故事。据西汉淮南王刘安(公元前二世纪人)及其门客所著《淮南子》一书说:“尧之时,十日并出,焦禾稼,杀草木,而民无所食。猰豸、凿齿、九婴、大风、封狶、修蛇,皆为民害。尧乃使羿……上射十日而下杀猰豸。……万民皆喜。”东汉著作家王逸(公元二世纪人)关于屈原诗篇《天问》的注释说:“淮南言,尧时十日并出,草木焦枯。尧命羿仰射十日,中其九日……留其一日。”
  〔29〕《西游记》是明代作家吴承恩著的一部神话小说。孙悟空是书中的主角。他是一个神猴,有七十二变的法术,能够随意变成各式各样的鸟兽虫鱼草木器物或者人形。
  〔30〕 《聊斋志异》是清代文学家蒲松龄著的短篇小说集,大部分是叙述神仙狐鬼的故事。
  〔31〕见马克思《〈政治经济学批判〉导言》(《马克思恩格斯选集》第2卷,人民出版社1972年版,第113页)。
  〔32〕见马克思《〈政治经济学批判〉导言》(《马克思恩格斯选集》第2卷,人民出版社1972年版,第114页)。
  〔33〕见列宁《谈谈辩证法问题》。新的译文是:“对立面的统一(一致、同一、均势)是有条件的、暂时的、易逝的、相对的。相互排斥的对立面的斗争是绝对的,正如发展、运动是绝对的一样。”(《列宁全集》第55卷,人民出版社1990年版,第306页)
  〔34〕见东汉著名史学家班固(三二——九二)所著《汉书·艺文志》,原文是:“诸子十家,其可观者,九家而已。皆起于王道既微,诸侯力政,时君世主,好恶殊方。是以九家之术,蜂出并作,各引一端,崇其所善,以此驰说,取合诸侯。其言虽殊,辟犹水火,相灭亦相生也。仁之与义,敬之与和,相反而皆相成也。”
  〔35〕 见列宁《谈谈辩证法问题》。新的译文是:“相对中有绝对。”(《列宁全集》第55卷,人民出版社1990年版,第307页)
  〔36〕见本卷《论反对日本帝国主义的策略》注〔24〕。
  〔37〕见列宁《在尼·布哈林〈过渡时期经济学〉一书上作的批注和评论》(《列宁全集》第60卷,人民出版社1990年版,第282页)。

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实践论

论认识和实践的关系——知和行的关系

(一九三七年七月)

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在中国共产党内,曾经有一部分教条主义的同志长期拒绝中国革命的经验,否认“马克思主义不是教条而是行动的指南”这个真理,而只生吞活剥马克思主义书籍中的只言片语,去吓唬人们。还有另一部分经验主义的同志长期拘守于自身的片断经验,不了解理论对于革命实践的重要性,看不见革命的全局,虽然也是辛苦地——但却是盲目地在工作。这两类同志的错误思想,特别是教条主义思想,曾经在一九三一年至一九三四年使得中国革命受了极大的损失,而教条主义者却是披着马克思主义的外衣迷惑了广大的同志。毛泽东的《实践论》,是为着用马克思主义的认识论观点去揭露党内的教条主义和经验主义——特别是教条主义这些主观主义的错误而写的。因为重点是揭露看轻实践的教条主义这种主观主义,故题为《实践论》。毛泽东曾以这篇论文的观点在延安的抗日军事政治大学作过讲演。

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  马克思以前的唯物论,离开人的社会性,离开人的历史发展,去观察认识问题,因此不能了解认识对社会实践的依赖关系,即认识对生产和阶级斗争的依赖关系。
  首先,马克思主义者认为人类的生产活动是最基本的实践活动,是决定其他一切活动的东西。人的认识,主要地依赖于物质的生产活动,逐渐地了解自然的现象、自然的性质、自然的规律性、人和自然的关系;而且经过生产活动,也在各种不同程度上逐渐地认识了人和人的一定的相互关系。一切这些知识,离开生产活动是不能得到的。在没有阶级的社会中,每个人以社会一员的资格,同其他社会成员协力,结成一定的生产关系,从事生产活动,以解决人类物质生活问题。在各种阶级的社会中,各阶级的社会成员,则又以各种不同的方式,结成一定的生产关系,从事生产活动,以解决人类物质生活问题。这是人的认识发展的基本来源。
  人的社会实践,不限于生产活动一种形式,还有多种其他的形式,阶级斗争,政治生活,科学和艺术的活动,总之社会实际生活的一切领域都是社会的人所参加的。因此,人的认识,在物质生活以外,还从政治生活文化生活中(与物质生活密切联系),在各种不同程度上,知道人和人的各种关系。其中,尤以各种形式的阶级斗争,给予人的认识发展以深刻的影响。在阶级社会中,每一个人都在一定的阶级地位中生活,各种思想无不打上阶级的烙印。
  马克思主义者认为人类社会的生产活动,是一步又一步地由低级向高级发展,因此,人们的认识,不论对于自然界方面,对于社会方面,也都是一步又一步地由低级向高级发展,即由浅入深,由片面到更多的方面。在很长的历史时期内,大家对于社会的历史只能限于片面的了解,这一方面是由于剥削阶级的偏见经常歪曲社会的历史,另方面,则由于生产规模的狭小,限制了人们的眼界。人们能够对于社会历史的发展作全面的历史的了解,把对于社会的认识变成了科学,这只是到了伴随巨大生产力——大工业而出现近代无产阶级的时候,这就是马克思主义的科学。
  马克思主义者认为,只有人们的社会实践,才是人们对于外界认识的真理性的标准。实际的情形是这样的,只有在社会实践过程中(物质生产过程中,阶级斗争过程中,科学实验过程中),人们达到了思想中所预想的结果时,人们的认识才被证实了。人们要想得到工作的胜利即得到预想的结果,一定要使自己的思想合于客观外界的规律性,如果不合,就会在实践中失败。人们经过失败之后,也就从失败取得教训,改正自己的思想使之适合于外界的规律性,人们就能变失败为胜利,所谓“失败者成功之母”,“吃一堑长一智”,就是这个道理。辩证唯物论的认识论把实践提到第一的地位,认为人的认识一点也不能离开实践,排斥一切否认实践重要性、使认识离开实践的错误理论。列宁这样说过:“实践高于(理论的)认识,因为它不但有普遍性的品格,而且还有直接现实性的品格。”⑴马克思主义的哲学辩证唯物论有两个最显著的特点:一个是它的阶级性,公然申明辩证唯物论是为无产阶级服务的;再一个是它的实践性,强调理论对于实践的依赖关系,理论的基础是实践,又转过来为实践服务。判定认识或理论之是否真理,不是依主观上觉得如何而定,而是依客观上社会实践的结果如何而定。真理的标准只能是社会的实践。实践的观点是辩证唯物论的认识论之第一的和基本的观点⑵。
  然而人的认识究竟怎样从实践发生,而又服务于实践呢?这只要看一看认识的发展过程就会明了的。
  原来人在实践过程中,开始只是看到过程中各个事物的现象方面,看到各个事物的片面,看到各个事物之间的外部联系。例如有些外面的人们到延安来考察,头一二天,他们看到了延安的地形、街道、屋宇,接触了许多的人,参加了宴会、晚会和群众大会,听到了各种说话,看到了各种文件,这些就是事物的现象,事物的各个片面以及这些事物的外部联系。这叫做认识的感性阶段,就是感觉和印象的阶段。也就是延安这些各别的事物作用于考察团先生们的感官,引起了他们的感觉,在他们的脑子中生起了许多的印象,以及这些印象间的大概的外部的联系,这是认识的第一个阶段。在这个阶段中,人们还不能造成深刻的概念,作出合乎论理(即合乎逻辑)的结论。
  社会实践的继续,使人们在实践中引起感觉和印象的东西反复了多次,于是在人们的脑子里生起了一个认识过程中的突变(即飞跃),产生了概念。概念这种东西已经不是事物的现象,不是事物的各个片面,不是它们的外部联系,而是抓着了事物的本质,事物的全体,事物的内部联系了。概念同感觉,不但是数量上的差别,而且有了性质上的差别。循此继进,使用判断和推理的方法,就可产生出合乎论理的结论来。《三国演义》上所谓“眉头一皱计上心来”,我们普通说话所谓“让我想一想”,就是人在脑子中运用概念以作判断和推理的工夫。这是认识的第二个阶段。外来的考察团先生们在他们集合了各种材料,加上他们“想了一想”之后,他们就能够作出“共产党的抗日民族统一战线的政策是彻底的、诚恳的和真实的”这样一个判断了。在他们作出这个判断之后,如果他们对于团结救国也是真实的的话,那末他们就能够进一步作出这样的结论:“抗日民族统一战线是能够成功的。”这个概念、判断和推理的阶段,在人们对于一个事物的整个认识过程中是更重要的阶段,也就是理性认识的阶段。认识的真正任务在于经过感觉而到达于思维,到达于逐步了解客观事物的内部矛盾,了解它的规律性,了解这一过程和那一过程间的内部联系,即到达于论理的认识。重复地说,论理的认识所以和感性的认识不同,是因为感性的认识是属于事物之片面的、现象的、外部联系的东西,论理的认识则推进了一大步,到达了事物的全体的、本质的、内部联系的东西,到达了暴露周围世界的内在的矛盾,因而能在周围世界的总体上,在周围世界一切方面的内部联系上去把握周围世界的发展。
  这种基于实践的由浅入深的辩证唯物论的关于认识发展过程的理论,在马克思主义以前,是没有一个人这样解决过的。马克思主义的唯物论,第一次正确地解决了这个问题,唯物地而且辩证地指出了认识的深化的运动,指出了社会的人在他们的生产和阶级斗争的复杂的、经常反复的实践中,由感性认识到论理认识的推移的运动。列宁说过:“物质的抽象,自然规律的抽象,价值的抽象以及其他等等,一句话,一切科学的(正确的、郑重的、非瞎说的)抽象,都更深刻、更正确、更完全地反映着自然。”⑶马克思列宁主义认为:认识过程中两个阶段的特性,在低级阶段,认识表现为感性的,在高级阶段,认识表现为论理的,但任何阶段,都是统一的认识过程中的阶段。感性和理性二者的性质不同,但又不是互相分离的,它们在实践的基础上统一起来了。我们的实践证明:感觉到了的东西,我们不能立刻理解它,只有理解了的东西才更深刻地感觉它。感觉只解决现象问题,理论才解决本质问题。这些问题的解决,一点也不能离开实践。无论何人要认识什么事物,除了同那个事物接触,即生活于(实践于)那个事物的环境中,是没有法子解决的。不能在封建社会就预先认识资本主义社会的规律,因为资本主义还未出现,还无这种实践。马克思主义只能是资本主义社会的产物。马克思不能在自由资本主义时代就预先具体地认识帝国主义时代的某些特异的规律,因为帝国主义这个资本主义最后阶段还未到来,还无这种实践,只有列宁和斯大林才能担当此项任务。马克思、恩格斯、列宁、斯大林之所以能够作出他们的理论,除了他们的天才条件之外,主要地是他们亲自参加了当时的阶级斗争和科学实验的实践,没有这后一个条件,任何天才也是不能成功的。“秀才不出门,全知天下事”,在技术不发达的古代只是一句空话,在技术发达的现代虽然可以实现这句话,然而真正亲知的是天下实践着的人,那些人在他们的实践中间取得了“知”,经过文字和技术的传达而到达于“秀才”之手,秀才乃能间接地“知天下事”。如果要直接地认识某种或某些事物,便只有亲身参加于变革现实、变革某种或某些事物的实践的斗争中,才能触到那种或那些事物的现象,也只有在亲身参加变革现实的实践的斗争中,才能暴露那种或那些事物的本质而理解它们。这是任何人实际上走着的认识路程,不过有些人故意歪曲地说些反对的话罢了。世上最可笑的是那些“知识里手”⑷,有了道听途说的一知半解,便自封为“天下第一”,适足见其不自量而已。知识的问题是一个科学问题,来不得半点的虚伪和骄傲,决定地需要的倒是其反面——诚实和谦逊的态度。你要有知识,你就得参加变革现实的实践。你要知道梨子的滋味,你就得变革梨子,亲口吃一吃。你要知道原子的组织同性质,你就得实行物理学和化学的实验,变革原子的情况。你要知道革命的理论和方法,你就得参加革命。一切真知都是从直接经验发源的。但人不能事事直接经验,事实上多数的知识都是间接经验的东西,这就是一切古代的和外域的知识。这些知识在古人在外人是直接经验的东西,如果在古人外人直接经验时是符合于列宁所说的条件“科学的抽象”,是科学地反映了客观的事物,那末这些知识是可靠的,否则就是不可靠的。所以,一个人的知识,不外直接经验的和间接经验的两部分。而且在我为间接经验者,在人则仍为直接经验。因此,就知识的总体说来,无论何种知识都是不能离开直接经验的。任何知识的来源,在于人的肉体感官对客观外界的感觉,否认了这个感觉,否认了直接经验,否认亲自参加变革现实的实践,他就不是唯物论者。“知识里手”之所以可笑,原因就是在这个地方。中国人有一句老话:“不入虎穴,焉得虎子。”这句话对于人们的实践是真理,对于认识论也是真理。离开实践的认识是不可能的。
  为了明了基于变革现实的实践而产生的辩证唯物论的认识运动——认识的逐渐深化的运动,下面再举出几个具体的例子。
  无产阶级对于资本主义社会的认识,在其实践的初期——破坏机器和自发斗争时期,他们还只在感性认识的阶段,只认识资本主义各个现象的片面及其外部的联系。这时,他们还是一个所谓“自在的阶级”。但是到了他们实践的第二个时期——有意识有组织的经济斗争和政治斗争的时期,由于实践,由于长期斗争的经验,经过马克思、恩格斯用科学的方法把这种种经验总结起来,产生了马克思主义的理论,用以教育无产阶级,这样就使无产阶级理解了资本主义社会的本质,理解了社会阶级的剥削关系,理解了无产阶级的历史任务,这时他们就变成了一个“自为的阶级”。
  中国人民对于帝国主义的认识也是这样。第一阶段是表面的感性的认识阶段,表现在太平天国运动和义和团运动等笼统的排外主义的斗争上⑸。第二阶段才进到理性的认识阶段,看出了帝国主义内部和外部的各种矛盾,并看出了帝国主义联合中国买办阶级和封建阶级以压榨中国人民大众的实质,这种认识是从一九一九年五四运动⑹前后才开始的。
  我们再来看战争。战争的领导者,如果他们是一些没有战争经验的人,对于一个具体的战争(例如我们过去十年的土地革命战争)的深刻的指导规律,在开始阶段是不了解的。他们在开始阶段只是身历了许多作战的经验,而且败仗是打得很多的。然而由于这些经验(胜仗,特别是败仗的经验),使他们能够理解贯串整个战争的内部的东西,即那个具体战争的规律性,懂得了战略和战术,因而能够有把握地去指导战争。此时,如果改换一个无经验的人去指导,又会要在吃了一些败仗之后(有了经验之后)才能理会战争的正确的规律。
  常常听到一些同志在不能勇敢接受工作任务时说出来的一句话:没有把握。为什么没有把握呢?因为他对于这项工作的内容和环境没有规律性的了解,或者他从来就没有接触过这类工作,或者接触得不多,因而无从谈到这类工作的规律性。及至把工作的情况和环境给以详细分析之后,他就觉得比较地有了把握,愿意去做这项工作。如果这个人在这项工作中经过了一个时期,他有了这项工作的经验了,而他又是一个肯虚心体察情况的人,不是一个主观地、片面地、表面地看问题的人,他就能够自己做出应该怎样进行工作的结论,他的工作勇气也就可以大大地提高了。只有那些主观地、片面地和表面地看问题的人,跑到一个地方,不问环境的情况,不看事情的全体(事情的历史和全部现状),也不触到事情的本质(事情的性质及此一事情和其他事情的内部联系),就自以为是地发号施令起来,这样的人是没有不跌交子的。
  由此看来,认识的过程,第一步,是开始接触外界事情,属于感觉的阶段。第二步,是综合感觉的材料加以整理和改造,属于概念、判断和推理的阶段。只有感觉的材料十分丰富(不是零碎不全)和合于实际(不是错觉),才能根据这样的材料造出正确的概念和论理来。
  这里有两个要点必须着重指明。第一个,在前面已经说过的,这里再重复说一说,就是理性认识依赖于感性认识的问题。如果以为理性认识可以不从感性认识得来,他就是一个唯心论者。哲学史上有所谓“唯理论”一派,就是只承认理性的实在性,不承认经验的实在性,以为只有理性靠得住,而感觉的经验是靠不住的,这一派的错误在于颠倒了事实。理性的东西所以靠得住,正是由于它来源于感性,否则理性的东西就成了无源之水,无本之木,而只是主观自生的靠不住的东西了。从认识过程的秩序说来,感觉经验是第一的东西,我们强调社会实践在认识过程中的意义,就在于只有社会实践才能使人的认识开始发生,开始从客观外界得到感觉经验。一个闭目塞听、同客观外界根本绝缘的人,是无所谓认识的。认识开始于经验——这就是认识论的唯物论。
  第二是认识有待于深化,认识的感性阶段有待于发展到理性阶段——这就是认识论的辩证法⑺。如果以为认识可以停顿在低级的感性阶段,以为只有感性认识可靠,而理性认识是靠不住的,这便是重复了历史上的“经验论”的错误。这种理论的错误,在于不知道感觉材料固然是客观外界某些真实性的反映(我这里不来说经验只是所谓内省体验的那种唯心的经验论),但它们仅是片面的和表面的东西,这种反映是不完全的,是没有反映事物本质的。要完全地反映整个的事物,反映事物的本质,反映事物的内部规律性,就必须经过思考作用,将丰富的感觉材料加以去粗取精、去伪存真、由此及彼、由表及里的改造制作工夫,造成概念和理论的系统,就必须从感性认识跃进到理性认识。这种改造过的认识,不是更空虚了更不可靠了的认识,相反,只要是在认识过程中根据于实践基础而科学地改造过的东西,正如列宁所说乃是更深刻、更正确、更完全地反映客观事物的东西。庸俗的事务主义家不是这样,他们尊重经验而看轻理论,因而不能通观客观过程的全体,缺乏明确的方针,没有远大的前途,沾沾自喜于一得之功和一孔之见。这种人如果指导革命,就会引导革命走上碰壁的地步。
  理性认识依赖于感性认识,感性认识有待于发展到理性认识,这就是辩证唯物论的认识论。哲学上的“唯理论”和“经验论”都不懂得认识的历史性或辩证性,虽然各有片面的真理(对于唯物的唯理论和经验论而言,非指唯心的唯理论和经验论),但在认识论的全体上则都是错误的。由感性到理性之辩证唯物论的认识运动,对于一个小的认识过程(例如对于一个事物或一件工作的认识)是如此,对于一个大的认识过程(例如对于一个社会或一个革命的认识)也是如此。
  然而认识运动至此还没有完结。辩证唯物论的认识运动,如果只到理性认识为止,那末还只说到问题的一半。而且对于马克思主义的哲学说来,还只说到非十分重要的那一半。马克思主义的哲学认为十分重要的问题,不在于懂得了客观世界的规律性,因而能够解释世界,而在于拿了这种对于客观规律性的认识去能动地改造世界。在马克思主义看来,理论是重要的,它的重要性充分地表现在列宁说过的一句话:“没有革命的理论,就不会有革命的运动。”⑻然而马克思主义看重理论,正是,也仅仅是,因为它能够指导行动。如果有了正确的理论,只是把它空谈一阵,束之高阁,并不实行,那末,这种理论再好也是没有意义的。认识从实践始,经过实践得到了理论的认识,还须再回到实践去。认识的能动作用,不但表现于从感性的认识到理性的认识之能动的飞跃,更重要的还须表现于从理性的认识到革命的实践这一个飞跃。抓着了世界的规律性的认识,必须把它再回到改造世界的实践中去,再用到生产的实践、革命的阶级斗争和民族斗争的实践以及科学实验的实践中去。这就是检验理论和发展理论的过程,是整个认识过程的继续。理论的东西之是否符合于客观真理性这个问题,在前面说的由感性到理性之认识运动中是没有完全解决的,也不能完全解决的。要完全地解决这个问题,只有把理性的认识再回到社会实践中去,应用理论于实践,看它是否能够达到预想的目的。许多自然科学理论之所以被称为真理,不但在于自然科学家们创立这些学说的时候,而且在于为尔后的科学实践所证实的时候。马克思列宁主义之所以被称为真理,也不但在于马克思、恩格斯、列宁、斯大林等人科学地构成这些学说的时候,而且在于为尔后革命的阶级斗争和民族斗争的实践所证实的时候。辩证唯物论之所以为普遍真理,在于经过无论什么人的实践都不能逃出它的范围。人类认识的历史告诉我们,许多理论的真理性是不完全的,经过实践的检验而纠正了它们的不完全性。许多理论是错误的,经过实践的检验而纠正其错误。所谓实践是真理的标准,所谓“生活、实践底观点,应该是认识论底首先的和基本的观点”⑼,理由就在这个地方。斯大林说得好:“理论若不和革命实践联系起来,就会变成无对象的理论,同样,实践若不以革命理论为指南,就会变成盲目的实践。”⑽
  说到这里,认识运动就算完成了吗?我们的答复是完成了,又没有完成。社会的人们投身于变革在某一发展阶段内的某一客观过程的实践中(不论是关于变革某一自然过程的实践,或变革某一社会过程的实践),由于客观过程的反映和主观能动性的作用,使得人们的认识由感性的推移到了理性的,造成了大体上相应于该客观过程的法则性的思想、理论、计划或方案,然后再应用这种思想、理论、计划或方案于该同一客观过程的实践,如果能够实现预想的目的,即将预定的思想、理论、计划、方案在该同一过程的实践中变为事实,或者大体上变为事实,那末,对于这一具体过程的认识运动算是完成了。例如,在变革自然的过程中,某一工程计划的实现,某一科学假想的证实,某一器物的制成,某一农产的收获,在变革社会过程中某一罢工的胜利,某一战争的胜利,某一教育计划的实现,都算实现了预想的目的。然而一般地说来,不论在变革自然或变革社会的实践中,人们原定的思想、理论、计划、方案,毫无改变地实现出来的事,是很少的。这是因为从事变革现实的人们,常常受着许多的限制,不但常常受着科学条件和技术条件的限制,而且也受着客观过程的发展及其表现程度的限制(客观过程的方面及本质尚未充分暴露)。在这种情形之下,由于实践中发现前所未料的情况,因而部分地改变思想、理论、计划、方案的事是常有的,全部地改变的事也是有的。即是说,原定的思想、理论、计划、方案,部分地或全部地不合于实际,部分错了或全部错了的事,都是有的。许多时候须反复失败过多次,才能纠正错误的认识,才能到达于和客观过程的规律性相符合,因而才能够变主观的东西为客观的东西,即在实践中得到预想的结果。但是不管怎样,到了这种时候,人们对于在某一发展阶段内的某一客观过程的认识运动,算是完成了。
  然而对于过程的推移而言,人们的认识运动是没有完成的。任何过程,不论是属于自然界的和属于社会的,由于内部的矛盾和斗争,都是向前推移向前发展的,人们的认识运动也应跟着推移和发展。依社会运动来说,真正的革命的指导者,不但在于当自己的思想、理论、计划、方案有错误时须得善于改正,如同上面已经说到的,而且在于当某一客观过程已经从某一发展阶段向另一发展阶段推移转变的时候,须得善于使自己和参加革命的一切人员在主观认识上也跟着推移转变,即是要使新的革命任务和新的工作方案的提出,适合于新的情况的变化。革命时期情况的变化是很急速的,如果革命党人的认识不能随之而急速变化,就不能引导革命走向胜利。
  然而思想落后于实际的事是常有的,这是因为人的认识受了许多社会条件的限制的缘故。我们反对革命队伍中的顽固派,他们的思想不能随变化了的客观情况而前进,在历史上表现为右倾机会主义。这些人看不出矛盾的斗争已将客观过程推向前进了,而他们的认识仍然停止在旧阶段。一切顽固党的思想都有这样的特征。他们的思想离开了社会的实践,他们不能站在社会车轮的前头充任向导的工作,他们只知跟在车子后面怨恨车子走得太快了,企图把它向后拉,开倒车。
  我们也反对“左”翼空谈主义。他们的思想超过客观过程的一定发展阶段,有些把幻想看作真理,有些则把仅在将来有现实可能性的理想,勉强地放在现时来做,离开了当前大多数人的实践,离开了当前的现实性,在行动上表现为冒险主义。
  唯心论和机械唯物论,机会主义和冒险主义,都是以主观和客观相分裂,以认识和实践相脱离为特征的。以科学的社会实践为特征的马克思列宁主义的认识论,不能不坚决反对这些错误思想。马克思主义者承认,在绝对的总的宇宙发展过程中,各个具体过程的发展都是相对的,因而在绝对真理的长河中,人们对于在各个一定发展阶段上的具体过程的认识只具有相对的真理性。无数相对的真理之总和,就是绝对的真理⑾。客观过程的发展是充满着矛盾和斗争的发展,人的认识运动的发展也是充满着矛盾和斗争的发展。一切客观世界的辩证法的运动,都或先或后地能够反映到人的认识中来。社会实践中的发生、发展和消灭的过程是无穷的,人的认识的发生、发展和消灭的过程也是无穷的。根据于一定的思想、理论、计划、方案以从事于变革客观现实的实践,一次又一次地向前,人们对于客观现实的认识也就一次又一次地深化。客观现实世界的变化运动永远没有完结,人们在实践中对于真理的认识也就永远没有完结。马克思列宁主义并没有结束真理,而是在实践中不断地开辟认识真理的道路。我们的结论是主观和客观、理论和实践、知和行的具体的历史的统一,反对一切离开具体历史的“左”的或右的错误思想。
  社会的发展到了今天的时代,正确地认识世界和改造世界的责任,已经历史地落在无产阶级及其政党的肩上。这种根据科学认识而定下来的改造世界的实践过程,在世界、在中国均已到达了一个历史的时节——自有历史以来未曾有过的重大时节,这就是整个儿地推翻世界和中国的黑暗面,把它们转变过来成为前所未有的光明世界。无产阶级和革命人民改造世界的斗争,包括实现下述的任务:改造客观世界,也改造自己的主观世界——改造自己的认识能力,改造主观世界同客观世界的关系。地球上已经有一部分实行了这种改造,这就是苏联。他们还正在促进这种改造过程。中国人民和世界人民也都正在或将要通过这样的改造过程。所谓被改造的客观世界,其中包括了一切反对改造的人们,他们的被改造,须要通过强迫的阶段,然后才能进入自觉的阶段。世界到了全人类都自觉地改造自己和改造世界的时候,那就是世界的共产主义时代。
  通过实践而发现真理,又通过实践而证实真理和发展真理。从感性认识而能动地发展到理性认识,又从理性认识而能动地指导革命实践,改造主观世界和客观世界。实践、认识、再实践、再认识,这种形式,循环往复以至无穷,而实践和认识之每一循环的内容,都比较地进到了高一级的程度。这就是辩证唯物论的全部认识论,这就是辩证唯物论的知行统一观。

+
+

  注  释
  〔1〕见列宁《黑格尔〈逻辑学〉一书摘要》。新的译文是:“实践高于(理论的)认识,因为它不仅具有普遍性的品格,而且还具有直接现实性的品格。”(《列宁全集》第55卷,人民出版社1990年版,第183页)
  〔2〕参见马克思《关于费尔巴哈的提纲》(《马克思恩格斯选集》第1卷,人民出版社1972年版,第16—19页)和列宁《唯物主义和经验批判主义》第二章第六节(《列宁全集》第18卷,人民出版社1988年版,第144页)。
  〔3〕 见列宁《黑格尔〈逻辑学〉一书摘要》(《列宁全集》第55卷,人民出版社1990年版,第142页)。
  〔4〕里手,湖南方言,内行的意思。
  〔5〕一九五一年三月二十七日,毛泽东在致李达的信中说:“《实践论》中将太平天国放在排外主义一起说不妥,出选集时拟加修改,此处暂仍照原。”
  〔6〕五四运动是一九一九年五月四日发生的反帝反封建的爱国运动。当时,第一次世界大战刚刚结束,英、美、法、日、意等战胜国在巴黎召开对德和会,决定由日本继承德国在中国山东的特权。中国是参加对德宣战的战胜国之一,但北洋军阀政府却准备接受这个决定。五月四日,北京学生游行示威,反对帝国主义的这一无理决定和北洋军阀政府的妥协。这次运动迅速地获得了全国人民的响应,到六月三日以后,发展成为有工人阶级、城市小资产阶级和民族资产阶级参加的广大群众性的反帝反封建的爱国运动。五四运动也是反对封建文化的新文化运动。以一九一五年《青年杂志》(后改名《新青年》)创刊为起点的新文化运动,竖起“民主”和“科学”的旗帜,反对旧道德,提倡新道德,反对旧文学,提倡新文学。五四运动中的先进分子接受了马克思主义,使新文化运动发展成为马克思主义思想运动,他们致力于马克思主义同中国工人运动相结合,在思想上和干部上准备了中国共产党的成立。
  〔7〕参见列宁《黑格尔〈逻辑学〉一书摘要》:“要理解,就必须从经验开始理解、研究,从经验上升到一般。”(《列宁全集》第55卷,人民出版社1990年版,第175页)
  〔8〕见列宁《俄国社会民主党人的任务》(《列宁全集》第2卷,人民出版社1984年版,第443页);并见列宁《怎么办?》第一章第四节(《列宁全集》第6卷,人民出版社1986年版,第23页)。
  〔9〕 见列宁《唯物主义和经验批判主义》第二章第六节(《列宁全集》第18卷,人民出版社1988年版,第144页)。
  〔10〕见斯大林《论列宁主义基础》第三部分《理论》。新的译文是:“离开革命实践的理论是空洞的理论,而不以革命理论为指南的实践是盲目的实践。”(《斯大林选集》上卷,人民出版社1979年版,第199—200页)
  〔11〕参见列宁《唯物主义和经验批判主义》第二章第五节。原文是:“人类思维按其本性是能够给我们提供并且正在提供由相对真理的总和所构成的绝对真理的。”(《列宁全集》第18卷,人民出版社1988年版,第135页)

+ + + + + + \ No newline at end of file diff --git a/2020/11/27/notification_delegate/index.html b/2020/11/27/notification_delegate/index.html index e69de29..bf10f6a 100644 --- a/2020/11/27/notification_delegate/index.html +++ b/2020/11/27/notification_delegate/index.html @@ -0,0 +1,117 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 又发现了一个原生 Android Bug + + + + +

又发现了一个原生Android Bug

最近在做推送,有一个接口可以给别的应用代发通知,可以不用拉起进程,这样做应该是比较省电,不用唤醒进程。

+
NotificationManager.notifyAsPackage()
+
+

但是有一个问题,创建一个振动和声音开启的NotificationChannel,在这个Channel上发送通知振动会失效,并且系统会报错误日志。单独振动和单独声音的Channel是正常的,看了下NotificationManagerService的代码,发现是在18年的时候,这个特性刚加不久,就被一个三星的哥们改出问题了,之后也没有去修复,很是烦恼…. 正常的应用使用通知是不会有问题的,就是代发通知会出现。

+

这个接口日常用的不多,基本没有人使用,在AOSP里面搜索都没有人使用,决定修改源码,再给Google的committer发个邮件看看,希望能够有回应吧。下面是邮件内容:

+
+

I found that the Android notification delegate has a bug. The vibration does not take effect when the vibration and sound exist at the same time:

+

NotificationManager.notifyAsPackage()

+

System will log a exception :

+
2020-11-27 16:22:27.341 1307-10892/system_process E/AppOps: checkOperation
+  java.lang.SecurityException: Specified package com.xxxx.xxxx.push under uid 10225 but it is really 1000
+    at com.android.server.appop.AppOpsService.verifyAndGetBypass(AppOpsService.java:4007)
+    at com.android.server.appop.AppOpsService.checkOperationUnchecked(AppOpsService.java:2979)
+    at com.android.server.appop.AppOpsService.checkOperationImpl(AppOpsService.java:2962)
+    at com.android.server.appop.AppOpsService.checkOperationInternal(AppOpsService.java:2943)
+    at com.android.server.appop.AppOpsService.checkOperation(AppOpsService.java:2932)
+    at com.android.server.appop.AppOpsService.checkAudioOperationImpl(AppOpsService.java:3026)
+    at com.android.server.appop.AppOpsService.checkAudioOperation(AppOpsService.java:3014)
+    at android.app.AppOpsManager.checkAudioOpNoThrow(AppOpsManager.java:7788)
+    at com.android.server.VibratorService.getAppOpMode(VibratorService.java:1094)
+    at com.android.server.VibratorService.shouldVibrate(VibratorService.java:1126)
+    at com.android.server.VibratorService.startVibrationLocked(VibratorService.java:919)
+    at com.android.server.VibratorService.vibrate(VibratorService.java:814)
+    at android.os.SystemVibrator.vibrate(SystemVibrator.java:235)
+    at com.android.server.notification.NotificationManagerService.lambda$playVibration$5$NotificationManagerService(NotificationManagerService.java:7143)
+    at com.android.server.notification.-$$Lambda$NotificationManagerService$BDavS_Sg4m_dKO3ZgtuCsFeqqms.run(Unknown Source:6)
+    at java.lang.Thread.run(Thread.java:923)
+

This is the first commit, add notification delegate post feature:

+

feature commit

+

Then this submitted commit:

+

bug commit

+

change

+
  mVibrator.vibrate(record.sbn.getUid(), record.sbn.**getPackageName**(),    effect, "Notification (delayed)", record.getAudioAttributes());
+

to

+
  mVibrator.vibrate(record.sbn.getUid(), record.sbn.**getOpPkg**(),   effect, "Notification (delayed)", record.getAudioAttributes());
+

Cause AppOpsManager check that the package does not match the uid

+

Please check the bug, thanks!

+
+

提了Patch不给我合,算了,遇到这个问题的小伙伴自己修改下….

+

https://android-review.googlesource.com/c/platform/frameworks/base/+/1514786

+ + + + + + \ No newline at end of file diff --git a/2021/02/26/leetcode/index.html b/2021/02/26/leetcode/index.html index e69de29..469b1ca 100644 --- a/2021/02/26/leetcode/index.html +++ b/2021/02/26/leetcode/index.html @@ -0,0 +1,3942 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Leetcode Kotlin 解题记录 + + + + +

Leetcode Kotlin 解题记录

1.Two Sum

[HashTable | Array ]

+

Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target.

+

You may assume that each input would have exactly one solution, and you may not use the same element twice.

+

You can return the answer in any order.

+
fun twoSum(nums: IntArray, target: Int): IntArray {
+    val map = mutableMapOf<Int, Int>()
+    for ((index, i) in nums.withIndex()) {
+        val complement = target - i
+        if (map[complement] != null) {
+            return intArrayOf(index, map[complement]!!)
+        }
+        map[i] = index
+    }
+    return intArrayOf()
+}
+
+

NOTE:反向思维,通过和来找另一个加数 ,为了不用遍历且更快地找到,将元素的值和位置保存在map里面,空间换时间

+
2. Add Two Numbers

[Linked List | Math]

+

You are given two non-empty linked lists representing two non-negative integers. The digits are stored in reverse order, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.

+

You may assume the two numbers do not contain any leading zero, except the number 0 itself.

+
fun addTwoNumbers(l1: ListNode?, l2: ListNode?): ListNode? {
+    val head = ListNode()
+    var headCur = head
+    var l1Cur = l1
+    var l2Cur = l2
+    while (true) {
+        if (l1Cur != null) {
+            headCur.`val` += l1Cur.`val`
+            l1Cur = l1Cur.next
+        }
+        if (l2Cur != null) {
+            headCur.`val` += l2Cur.`val`
+            l2Cur = l2Cur.next
+        }
+        if (headCur.`val` > 9) {
+            headCur.`val` %= 10
+            headCur.next = ListNode(1)
+        }
+        if (l1Cur == null && l2Cur == null) {
+            break
+        }
+        if (headCur.next == null) {
+            headCur.next = ListNode()
+        }
+        headCur = headCur.next!!
+    }
+    return head
+}
+
+

NOTE: 同时遍历两个列表,注意进位操作

+
3. Longest Substring Without Repeating Characters

[Hash Table | Two Pointers | String | Sliding Window]

+

Given a string s, find the length of the longest substring without repeating characters.

+
fun lengthOfLongestSubstring(s: String): Int {
+    var result = 0
+    val cPosition = mutableMapOf<Char, Int>()
+    var i = 0
+    var j = 0
+    while (j < s.length) {
+        val pos = cPosition[s[j]]
+        if (pos != null && pos >= i) {
+            i++
+        } else {
+            result = Math.max(result, j - i + 1)
+            cPosition[s[j]] = j
+            j++
+        }
+    }
+    return result
+}
+
+

NOTE: 双指针,一个不断往前移动,判断是否有重复的字符,用Hash Table加速查询,不满足条件移动后面指针

+
4. Median of Two Sorted Arrays

[Array | Binary Search | Divide Conquuer ]

+

Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays.

+

Follow up: The overall run time complexity should be O(log (m+n)).

+
fun findMedianSortedArrays(nums1: IntArray, nums2: IntArray): Double {
+    val totalLen = nums1.size + nums2.size
+    val center:Int
+    val even = totalLen % 2 == 0
+    if (even) {
+        center = (totalLen + 1) / 2
+    } else {
+        center = totalLen / 2
+    }
+    var index1 = 0
+    var index2 = 0
+    var result = 0.0
+    var last = 0
+    for (i in 0 .. (totalLen - 1)) {
+        var cur = 0
+        if (index1 < nums1.size && index2 < nums2.size) {
+            if (nums1[index1] < nums2[index2]) {
+                cur = nums1[index1]
+                index1++
+            } else{
+                cur = nums2[index2]
+                index2++
+            }
+        } else if (index1 < nums1.size) {
+            cur = nums1[index1]
+            index1++
+        } else if (index2 < nums2.size){
+            cur = nums2[index2]
+            index2++
+        }
+        if (i == center) {
+            if (even) {
+                result = (last + cur) / 2.0
+            } else {
+                result = cur.toDouble()
+            }
+            break
+        }
+        last = cur;
+
+    }
+    return result
+}
+
+

NOTE: 归并排序的方式对两个数组进行遍历,记录上一个值与当前值,到达中间的位置直接求出结果

+

5. Longest Palindromic Substring

[String | Dynamic Programing ]

+

Given a string s, return the longest palindromic substring in s.

+
fun longestPalindrome(s: String): String {
+    if (s.length < 2) {
+        return s
+    }
+    var max = 1
+    var start = 0;
+    val dp = Array(s.length) { BooleanArray(s.length) }
+    for (j in 1 until s.length) {
+        for (i in 0 until j) {
+            if (s[i] == s[j]) {
+                dp[i][j] = j - i + 1 <= 3 ||  dp[i + 1][j - 1]
+            } else {
+                dp[i][j] = false
+            }
+
+            if (dp[i][j] && j - i + 1 > max) {
+                max = j - i + 1
+                start = i
+            }
+        }
+    }
+    return s.substring(start, start + max)
+}
+
+

NOTE: 从前往后遍历,用dp[][]记录计算过的回文串区间,避免重复计算

+

6. ZigZag Conversion

[String]

+

The string “PAYPALISHIRING” is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)

+

P A H N
A P L S I I G
Y I R

+

And then read line by line: “PAHNAPLSIIGYIR”

+

Write the code that will take a string and make this conversion given a number of rows:

+

string convert(string s, int numRows);

+
fun convert(s: String, numRows: Int): String {
+    if (numRows == 1) return s
+    val sbuilderArr = Array(numRows) { StringBuilder() }
+    var switchIndex = 0
+    var verticalIndex = 0
+    s.forEachIndexed { index, c ->
+                      if (switchIndex != 0) {
+                          sbuilderArr[switchIndex--].append(c)
+                      } else {
+                          sbuilderArr[verticalIndex++].append(c)
+                          if (verticalIndex == numRows) {
+                              switchIndex = numRows - 2
+                              verticalIndex = 0
+                          }
+                      }
+                     }
+    val result = StringBuilder()
+    sbuilderArr.forEach {
+        result.append(it)
+    }
+    return result.toString()
+}
+
+

NOTE: 每一行用一个StringBuilder保存,然后顺序遍历,根据行数切换保存的位置,然后合并结果

+

7. Reverse Integer

[Math]

+

Given a signed 32-bit integer x, return x with its digits reversed. If reversing x causes the value to go outside the signed 32-bit integer range [-231, 231 - 1], then return 0.

+

Assume the environment does not allow you to store 64-bit integers (signed or unsigned).

+
fun reverse(x: Int): Int {
+    var ret = 0
+    var y = x
+    var pop = 0
+    while (y != 0) {
+        pop = y % 10
+
+        if (ret > 0 && Integer.MAX_VALUE - ret * 10 < pop) {
+            return 0
+        } else if (ret < 0 && (Integer.MIN_VALUE - ret * 10) > pop ) {
+            return 0
+        }
+
+        ret = ret * 10 + pop
+        y /= 10
+    }
+    return ret
+}
+
+

NOTE: 求余数得到各位,除以10消除个位,计算前先判断是否溢出,溢出的判断方法为先列不等式,然后变换不等式消除不等式计算两端移除的可能

+

8. String to Integer (atoi)

[Math | String]

+

Implement the myAtoi(string s) function, which converts a string to a 32-bit signed integer (similar to C/C++’s atoi function).

+

The algorithm for myAtoi(string s) is as follows:

+
    +
  1. Read in and ignore any leading whitespace.
  2. +
  3. Check if the next character (if not already at the end of the string) is '-' or '+'. Read this character in if it is either. This determines if the final result is negative or positive respectively. Assume the result is positive if neither is present.
  4. +
  5. Read in next the characters until the next non-digit charcter or the end of the input is reached. The rest of the string is ignored.
  6. +
  7. Convert these digits into an integer (i.e. "123" -> 123, "0032" -> 32). If no digits were read, then the integer is 0. Change the sign as necessary (from step 2).
  8. +
  9. If the integer is out of the 32-bit signed integer range [-2^31, 2^31 - 1], then clamp the integer so that it remains in the range. Specifically, integers less than -231 should be clamped to -231, and integers greater than 2^31 - 1 should be clamped to 2^31 - 1.
  10. +
  11. Return the integer as the final result.
  12. +
+
fun myAtoi(s: String): Int {
+    var ret = 0
+    var neg = false
+    var invalid = false
+    for (c in s) {
+        if (c == '-' || c == '+') {
+            if (invalid) {
+                break
+            }
+            if (c == '-') {
+                neg = true
+            } else if (c == '+') {
+                neg = false
+            }
+            invalid = true
+
+        } else if ((c == ' ')) {
+            if (invalid) {
+                break
+            }
+            continue
+        } else if (c > '9' || c < '0') {
+            break
+        } else {
+            val bit = c.toInt() - '0'.toInt()
+            if (!neg && ret > (Integer.MAX_VALUE - bit) / 10) {
+                ret = Integer.MAX_VALUE
+                break
+            } else if (neg && -ret < (Integer.MIN_VALUE + bit) / 10) {
+                ret = Integer.MIN_VALUE
+                break
+            }
+            ret = ret * 10 + bit
+            invalid = true
+        }
+
+    }
+    return if (neg) -ret else ret
+}
+
+

NOTE: 用 invalid来判断是否还可以出入其他的字符,当开始输入数字或者已经输入符号就再能在输入其他符号

+

9. Palindrome Number

An integer is a palindrome when it reads the same backward as forward. For example, 121 is palindrome while 123 is not.

+

[Math]

+
fun isPalindrome(x: Int): Boolean {
+    if (x < 0 || (x % 10 == 0 && x != 0)) {
+        return false
+    }
+    var x = x
+    var ret = 0
+    while (x > ret) {
+        val pop = x % 10
+        ret = ret * 10 + pop
+        x /= 10
+    }
+    return x == ret || x == ret / 10
+}
+
+

NOTE: 隐含条件 : 计算反转数字的时候只用计算一半即可

+

10. Regular Expression Matching

[String]

+

Given an input string (s) and a pattern (p), implement regular expression matching with support for ‘.’ and ‘*’ where:

+ +

The matching should cover the entire input string (not partial).

+
fun isMatch(s: String, p: String): Boolean {
+  if (p.isEmpty()) {
+    return s.isEmpty()
+  }
+  val firstCharMatch = s.isNotEmpty() && (s[0] == p[0] || p[0] == '.')
+  val firstStarMatch = p.length > 1 && p[1] == '*'
+
+  if (firstCharMatch && firstStarMatch) {
+    return isMatch(s.substring(1), p) || isMatch(s, p.substring(2))
+  } else if (firstStarMatch) {
+    return isMatch(s, p.substring(2))
+  } else if (firstCharMatch) {
+    return isMatch(s.substring(1), p.substring(1))
+  }else {
+    return false
+  }
+}
+
+//DP:
+fun isMatch(s: String, p: String): Boolean {
+  val pLen = p.length
+  val sLen = s.length
+  val dp = Array(pLen + 1){BooleanArray(sLen + 1)}
+  dp[0][0] = true
+  for (i in 1 .. pLen - 1 step 2) {
+    if (p[i] == '*') {
+      dp[i][0] = true
+      dp[i + 1][0] = true
+    } else {
+      break
+    }
+  }
+
+  for (i in 0 .. pLen - 1) {
+    for (j in 0 .. sLen - 1) {
+      if (p[i] == '*') {
+        dp[i + 1][j + 1] = dp[i][j + 1]
+      } else if (p[i] == '.' || p[i] == s[j]) {
+        if (i + 1 < pLen && p[i + 1] == '*') {
+          dp[i + 1][j + 1] = dp[i][j + 1] || dp[i + 1][j]
+        } else {
+          dp[i + 1][j + 1] = dp[i][j]
+        }
+      } else {
+        if (i + 1 < pLen && p[i + 1] == '*') {
+          dp[i + 1][j + 1] = dp[i][j + 1]
+        }
+      }
+    }
+  }
+  return dp[pLen][sLen]
+}
+
+
+

NOTE: 递归逐字符对比,根据模式字符串与被匹配字符的前两个字符的匹配结果不断地向前移动字符串,如果模式字符串为空了,那么被匹配的字符串也要为空才能正确地匹配。DP解法注意初始的条件。

+

11. Container With Most Water

[Two Pointers | Array]

+

Given n non-negative integers a1, a2, ..., an , where each represents a point at coordinate (i, ai). n vertical lines are drawn such that the two endpoints of the line i is at (i, ai) and (i, 0). Find two lines, which, together with the x-axis forms a container, such that the container contains the most water.

+

Notice that you may not slant the container.

+
fun maxArea(height: IntArray): Int {
+  var start = 0
+  var end = height.size - 1
+  var max = 0
+  while (start < end) {
+    val area = Math.min(height[start], height[end]) * (end - start)
+    if (area > max) {
+      max = area
+    }
+    if (height[start] > height[end]) {
+      end--
+    } else {
+      start++
+    }
+  }
+  return max
+}
+
+

NOTE: 面积大小取决于最矮高度, min(x, y) * width, 宽度一定只能尽可能地增加高度才能让面积最大

+

12. Integer to Roman

[Math]

+

Roman numerals are represented by seven different symbols: I, V, X, L, C, D and M.

+

Symbol Value
I 1
V 5
X 10
L 50
C 100
D 500
M 1000

+

For example, 2 is written as II in Roman numeral, just two one’s added together. 12 is written as XII, which is simply X + II. The number 27 is written as XXVII, which is XX + V + II.

+

Roman numerals are usually written largest to smallest from left to right. However, the numeral for four is not IIII. Instead, the number four is written as IV. Because the one is before the five we subtract it making four. The same principle applies to the number nine, which is written as IX. There are six instances where subtraction is used:

+ +

Given an integer, convert it to a roman numeral.

+
fun intToRoman(num: Int): String {
+  val ret = StringBuilder()
+  val romanInt = intArrayOf(1000, 900, 500, 400, 100, 90, 50, 40, 10, 9, 5, 4, 1)
+  val romanStr = arrayOf("M", "CM", "D", "CD", "C", "XC", "L", "XL", "X", "IX", "V", "IV", "I")
+  var num = num
+  var i = 0
+  while (num > 0) {
+    if (num - romanInt[i] >= 0) {
+      num -= romanInt[i]
+      ret.append(romanStr[i])
+    } else {
+      i++
+    }
+  }
+  return ret.toString()
+}
+
+

NOTE: 罗马数字的特征,尽可能优先使用较大数值对应的字符,最后转换的结果字符最少,理由贪心算法思想,从最高位开始匹配,就能保证字符串最少。最开始想到的是另外一种方法查表法,将罗马数字的所有个位,十位..组合罗列出来,取低位的值不断地加,列表的时候较烦琐。

+

13. Roman to Integer

[Math]

+
fun romanToInt(s: String): Int {
+    var ret = 0
+    val romanMap = mapOf("M" to 1000, "CM" to 900, "D" to 500, "CD" to 400,
+                         "C" to 100, "XC" to 90, "L" to 50, "XL" to 40, "X" to 10, "IX" to 9,
+                         "V" to 5, "IV" to 4, "I" to 1)
+    var romanStr = s
+    while (romanStr.isNotEmpty()) {
+        if (romanStr.length > 1 && romanMap[romanStr.substring(0, 2)] != null) {
+            ret += romanMap[romanStr.substring(0, 2)]!!
+            romanStr = romanStr.substring(2)
+        } else {
+            ret += romanMap[romanStr.substring(0, 1)]!!
+            romanStr = romanStr.substring(1)
+        }
+    }
+    return ret
+}
+
+

NOTE: 思路同12,利用贪心算法。罗马数字高位就包含了位置信息只需从高位得到阿拉伯数字的值加上低位即可。

+

14. Longest Common Prefix

[String]

+
fun longestCommonPrefix(strs: Array<String>): String {
+    if (strs.isEmpty()) return ""
+
+    var ret = strs[0]
+    for (i in 1 until strs.size) {
+        ret = computeCommonPrefix(ret, strs[i])
+        if (ret.isEmpty()) {
+            return ""
+        }
+    }
+    return ret
+}
+
+private fun computeCommonPrefix(s1: String, s2: String): String {
+    var i = 0
+    var j = 0
+    while (i < s1.length && j < s2.length) {
+        if (s1[i] == s2[j]) {
+            i++
+            j++
+        } else {
+            break
+        }
+    }
+    return s1.substring(0, i)
+}
+
+

15. 3Sum

[Array | Two Pointer]

+

Given an array nums of n integers, are there elements a, b, c in nums such that a + b + c = 0? Find all unique triplets in the array which gives the sum of zero.

+

Notice that the solution set must not contain duplicate triplets.

+
fun threeSum(nums: IntArray): List<List<Int>> {
+    if (nums.size < 3) {
+        return listOf()
+    }
+    nums.sort()
+    val ret = mutableListOf<List<Int>>()
+    for ((index, value) in nums.withIndex()) {
+        if (index != 0 && nums[index] == nums[index - 1]) {
+            continue
+        }
+        var start = index + 1
+        var end = nums.size - 1
+        while (start < end) {
+            if (start != (index + 1) && nums[start] == nums[start - 1]) {
+                start++;
+                continue;
+            }
+            val threeSum = value + nums[start] + nums[end]
+            if (threeSum == 0) {
+                ret.add(listOf(value, nums[start], nums[end]))
+                end--
+                start++
+            } else if (threeSum > 0) {
+                end--
+            } else {
+                start++
+            }
+        }
+    }
+    return ret
+}
+
+

NOTE: 排序,去重,利用双指针特性

+

16. 3Sum Closest

Given an array nums of n integers and an integer target, find three integers in nums such that the sum is closest to target. Return the sum of the three integers. You may assume that each input would have exactly one solution.

+
fun threeSumClosest(nums: IntArray, target: Int): Int {
+    nums.sort()
+    var closest = 0
+    var distance = Integer.MAX_VALUE
+    for ((index, value) in nums.withIndex()) {
+        if (index != 0 && nums[index] == nums[index - 1]) {
+            continue
+        }
+
+        var start = index + 1
+        var end = nums.size - 1
+        while (start < end) {
+            if (start != index + 1 && nums[start - 1] == nums[start]) {
+                start++
+                continue
+            }
+
+            val treeSum = value + nums[start] + nums[end]
+            val curDistance = treeSum - target
+            if (curDistance == 0) {
+                return target
+            } else if (curDistance > 0) {
+                end--
+            } else if (curDistance < 0) {
+                start++
+            }
+            val absDis = Math.abs(curDistance)
+            if (absDis < distance) {
+                closest = treeSum
+                distance = absDis
+            }
+        }
+    }
+    return closest
+}
+
+

17. Letter Combinations of a Phone Number

[String | Backtracking | Depth-first Search | Recursion]

+

Given a string containing digits from 2-9 inclusive, return all possible letter combinations that the number could represent. Return the answer in any order.

+

A mapping of digit to letters (just like on the telephone buttons) is given below. Note that 1 does not map to any letters.

+
//使用数组记录进位信息
+fun letterCombinations(digits: String): List<String> {
+    val ret = mutableListOf<String>()
+    val numberStrList = mutableListOf<String>()
+    for (c in digits) {
+        numberStrList.add(letterTable(c))
+    }
+    val arrIndex = Array(numberStrList.size) {0}
+    while (true) {
+        val strBuilder = StringBuilder()
+        for ((index, numStr) in numberStrList.withIndex()) {
+            strBuilder.append(numStr[arrIndex[index]])
+        }
+        if (strBuilder.isNotEmpty()) {
+            ret.add(strBuilder.toString())
+        }
+
+        var carry = 1
+        for (i in arrIndex.size - 1 downTo 0) {
+            if (carry == 0) {
+                break
+            }
+            if (arrIndex[i] + carry == numberStrList[i].length) {
+                carry = 1
+                arrIndex[i] = 0
+            } else {
+                arrIndex[i] += carry
+                carry = 0
+            }
+        }
+        if (carry == 1) {
+            break
+        }
+    }
+
+    return ret
+}
+
+fun letterTable(char: Char) = when (char) {
+    '2' -> "abc"
+    '3' -> "def"
+    '4' -> "ghi"
+    '5' -> "jkl"
+    '6' -> "mno"
+    '7' -> "pqrs"
+    '8' -> "tuv"
+    '9' -> "wxyz"
+    else -> ""
+}
+
+
+val ret = mutableListOf<String>()
+
+fun letterCombinations(digits: String): List<String> {
+    if (digits.length == 0) {
+        return ret
+    }
+    val numberStrList = mutableListOf<String>()
+    for (c in digits) {
+        numberStrList.add(letterTable(c))
+    }
+    internalLetterCombination(0, numberStrList, StringBuilder())
+    return ret
+}
+
+fun internalLetterCombination(index: Int, numberStrList:List<String>, sb:StringBuilder) {
+    if (index == numberStrList.size) {
+        ret.add(sb.toString())
+        return
+    }
+    for (c in numberStrList[index]) {
+        sb.append(c)
+        internalLetterCombination(index + 1, numberStrList, sb)
+        sb.deleteCharAt(sb.length - 1)
+    }
+}
+

NOTE:两种方法,递归与迭代

+

18. 4Sum

[Two Pointer | HashTable]

+

Given an array nums of n integers and an integer target, are there elements a, b, c, and d in nums such that a + b + c + d = target? Find all unique quadruplets in the array which gives the sum of target.

+

Notice that the solution set must not contain duplicate quadruplets.

+
fun fourSum(nums: IntArray, target: Int): List<List<Int>> {
+    val ret = mutableListOf<List<Int>>()
+    nums.sort()
+    for (i in 0..nums.size - 1) {
+        if (i != 0 && nums[i] == nums[i - 1]) {
+            continue
+        }
+        for (j in i + 1..nums.size - 1) {
+            if (j != i + 1 && nums[j] == nums[j - 1]) {
+                continue
+            }
+            var start = j + 1
+            var end = nums.size - 1
+            while (start < end) {
+                val tmp = nums[i] + nums[j] + nums[start] + nums[end]
+                if (target == tmp) {
+                    ret.add(listOf(nums[i], nums[j], nums[start], nums[end]))
+                    start++
+                    end--
+                } else if (tmp > target) {
+                    end--
+                } else {
+                    start++
+                }
+            }
+        }
+    }
+    return ret
+}
+
+

NOTE:时间复杂度(o^3)

+

19. Remove Nth Node From End of List

Given the head of a linked list, remove the nth node from the end of the list and return its head.

+

Follow up: Could you do this in one pass?

+
fun removeNthFromEnd(head: ListNode?, n: Int): ListNode? {
+    val dummyHead = ListNode(0)
+    dummyHead.next = head
+    val recordList = mutableListOf<ListNode>()
+    var tmp: ListNode? = dummyHead
+    while (tmp != null) {
+        recordList.add(tmp)
+        tmp = tmp.next
+    }
+    val toRemove = recordList[recordList.size - n]
+    val preToRemove = recordList[recordList.size - n - 1]
+
+    preToRemove.next = toRemove.next
+
+    return dummyHead.next
+}
+
+

NOTE: 构造Dummy节点就不用对头部单独处理; toRemove.next不用判断空;如果不用列表记录位置信息那么需要先遍历一遍算长度

+

20. Valid Parentheses

Given a string s containing just the characters ‘(‘, ‘)’, ‘{‘, ‘}’, ‘[‘ and ‘]’, determine if the input string is valid.

+

An input string is valid if:

+ +
fun isValid(s: String): Boolean {
+    val stack = LinkedList<Char>()
+    for (c in s) {
+        val opposite = convertRight(c)
+        if (opposite != ' ') {
+            if (stack.isEmpty() || stack.pop() != opposite) {
+                return false
+            }
+        } else {
+            stack.push(c)
+        }
+    }
+    return stack.isEmpty()
+}
+
+fun convertRight(c: Char) = when(c) {
+    ')' -> '('
+    ']' -> '['
+    '}' -> '{'
+    else -> ' '
+}
+
+

NOTE: 注意stack.isEmpty()判断顺序

+

21. Merge Two Sorted Lists

[LinkedList | Recursion]

+

Merge two sorted linked lists and return it as a sorted list. The list should be made by splicing together the nodes of the first two lists.

+
fun mergeTwoLists(l1: ListNode?, l2: ListNode?): ListNode? {
+    if (l1 == null) {
+        return l2
+    } else if (l2 == null) {
+        return l1
+    } else if (l1.`val` < l2.`val`) {
+        l1.next = mergeTwoLists(l1.next, l2)
+        return l1
+    } else {
+        l2.next = mergeTwoLists(l1, l2.next)
+        return l2
+    }
+}
+
+

Note: 递归简洁

+

22. Generate Parentheses

[String | Backtracking]

+

Given n pairs of parentheses, write a function to generate all combinations of well-formed parentheses.

+
val ret1 = mutableListOf<String>()
+
+fun generateParenthesis(n: Int): List<String> {
+    generateParenthesisInternal(n, n , StringBuilder())
+    return ret1
+}
+
+fun generateParenthesisInternal(leftBracket: Int, rightBracket: Int, sb: StringBuilder) {
+    if (leftBracket == 0 && rightBracket == 0) {
+        ret1.add(sb.toString())
+        return
+    } else if (leftBracket > rightBracket) {
+        return
+    } else if (leftBracket < 0) {
+        return
+    }
+    sb.append('(')
+    generateParenthesisInternal(leftBracket - 1, rightBracket, sb)
+    sb.deleteCharAt(sb.length - 1)
+
+    sb.append(')')
+    generateParenthesisInternal(leftBracket, rightBracket - 1, sb)
+    sb.deleteCharAt(sb.length - 1)
+}
+
+

Note: 回溯结束条件

+

23. Merge k Sorted Lists

[LinkedList | Divide and Conquer | Heap]

+

You are given an array of k linked-lists lists, each linked-list is sorted in ascending order.

+

Merge all the linked-lists into one sorted linked-list and return it.

+
fun mergeKLists(lists: Array<ListNode?>): ListNode? {
+    return mergeKListsIntern(lists)
+}
+
+fun mergeKListsIntern(lists: Array<ListNode?>): ListNode? {
+    if (lists.size == 1) {
+        return lists[0]
+    } else if (lists.isEmpty()) {
+        return null
+    }
+    val leftListNode = mergeKListsIntern(lists.sliceArray(0 .. lists.size / 2 - 1))
+    val rightListNode = mergeKListsIntern(lists.sliceArray(lists.size / 2 .. lists.size - 1))
+    return mergeTwoListNode(leftListNode, rightListNode)
+}
+
+fun mergeTwoListNode(l1: ListNode?, l2: ListNode?): ListNode? {
+    if (l1 == null) {
+        return l2
+    } else if (l2 == null) {
+        return l1
+    } else if (l1.`val` < l2.`val`) {
+        l1.next = mergeTwoListNode(l1.next, l2)
+        return l1
+    } else {
+        l2.next = mergeTwoListNode(l1, l2.next)
+        return l2
+    }
+}
+
+

24. Swap Nodes in Pairs

[LinkedList | ]

+

Given a linked list, swap every two adjacent nodes and return its head.

+
fun swapPairs(head: ListNode?): ListNode? {
+    val dummyListNode = ListNode()
+    dummyListNode.next = head
+    var ihead = head
+    var pre = dummyListNode
+    while (ihead != null && ihead.next != null) {
+        val node1: ListNode = ihead
+        val node2: ListNode = ihead.next!!
+        pre.next = node2
+        node1.next = node2.next
+        node2.next = node1
+        ihead = node1.next
+        pre = node1
+    }
+    return dummyListNode.next
+}
+
+
+fun  swapPairs(head: ListNode?): ListNode? {
+    if (head == null || head.next == null) {
+        return head
+    }
+    val newHead: ListNode = head.next!!
+    head.next = swapPairs(newHead.next)
+    newHead.next = head
+    return newHead
+}
+
+

NOTE:同时遍历两个节点;递归版本!!!

+

25. Reverse Nodes in k-Group

[LinkedList]

+

Given a linked list, reverse the nodes of a linked list k at a time and return its modified list.

+

k is a positive integer and is less than or equal to the length of the linked list. If the number of nodes is not a multiple of k then left-out nodes, in the end, should remain as it is.

+

Follow up:

+ +
fun reverseKGroup(head: ListNode?, k: Int): ListNode? {
+    val dummyHead = ListNode()
+    dummyHead.next = head
+    var ihead = head
+    var cur = head
+    var cnt = 1
+    var preCur: ListNode? = dummyHead
+    while (ihead != null) {
+        if (k == cnt) {
+            //reverse from cur ...
+            val newTail = cur
+            var curN = cur?.next
+            var curNN:ListNode? = null
+            while (cnt > 1) {
+                curNN = curN?.next
+                curN?.next = cur
+
+                cur = curN
+                curN = curNN
+                cnt--
+            }
+            newTail?.next = curN
+            preCur?.next = cur
+            cur = curN
+
+            preCur = newTail
+            ihead = newTail?.next
+            //cnt = 1
+        } else {
+            cnt++
+            ihead = ihead.next
+        }
+    }
+
+    return dummyHead.next
+}
+
+

NOTE: 利用三个指针反转链表到达空间复杂度O(1)

+

26. Remove Duplicates from Sorted Array

[Array | Two Pointer]

+

Given a sorted array nums, remove the duplicates in-place such that each element appears only once and returns the new length.

+

Do not allocate extra space for another array, you must do this by modifying the input array in-place with O(1) extra memory.

+
fun removeDuplicates(nums: IntArray): Int {
+    if (nums.isEmpty()) {
+        return 0
+    }
+    var i = 0
+    for (j in 1 .. nums.size - 1) {
+        if (nums[i] != nums[j]) {
+            i++
+            nums[i] = nums[j]
+        }
+    }
+    return i + 1
+}
+
+

NOTE: 快慢指针移动赋值补位,不用移动后面的所有元素..

+

27. Remove Element

[Array | Two Pointer]

+

Given an array nums and a value val, remove all instances of that value in-place and return the new length.

+

Do not allocate extra space for another array, you must do this by modifying the input array in-place with O(1) extra memory.

+

The order of elements can be changed. It doesn’t matter what you leave beyond the new length.

+
fun removeElement(nums: IntArray, `val`: Int): Int {
+    var i = -1
+    for (j in 0 .. nums.size - 1) {
+        if (nums[j] != `val`) {
+            i++
+            nums[i] = nums[j]
+        }
+    }
+    return i + 1
+}
+
+

28. Implement strStr()

Implement strStr().

+

Return the index of the first occurrence of needle in haystack, or -1 if needle is not part of haystack.

+
fun strStr(haystack: String, needle: String): Int {
+  val m = haystack.length
+  val n = needle.length
+  if (n == 0) return 0
+  if (n > m) {
+    return -1
+  }
+  for (i in 0 .. m - n) {
+    for (j in 0 .. n - 1) {
+      if (haystack[i + j] != needle[j]) break
+      if (j == n - 1) {
+        return i
+      }
+    }
+  }
+  return -1
+}
+
+

29. Divide Two Integers

[Math]

+

Given two integers dividend and divisor, divide two integers without using multiplication, division, and mod operator.

+

Return the quotient after dividing dividend by divisor.

+

The integer division should truncate toward zero, which means losing its fractional part. For example, truncate(8.345) = 8 and truncate(-2.7335) = -2.

+

Note: Assume we are dealing with an environment that could only store integers within the 32-bit signed integer range: [−2^31, 2^31 − 1]. For this problem, assume that your function returns 2^31 − 1 when the division result overflows.

+
fun divide(dividend: Int, divisor: Int): Int {
+    if (dividend == Integer.MIN_VALUE && divisor == -1) {
+        return Integer.MAX_VALUE;
+    }
+    val positive = (dividend > 0 && divisor > 0) || (dividend < 0 && divisor < 0)
+    val absDividend = Math.abs(dividend)
+    val absDivisor = Math.abs(divisor)
+    var toDec = absDivisor
+    var total = absDividend
+    var ret = 0
+    var cnt = 1
+    while (total - toDec >= 0) {
+        total -= toDec
+        ret += cnt
+        if (total <=0 ) {
+            break
+        }
+        if (total - (toDec shl 1) < 0) {
+            toDec = absDivisor
+            cnt = 1
+        } else {
+            if (toDec  < Int.MAX_VALUE - toDec) {
+                toDec = (toDec shl 1)
+                cnt += cnt
+            }
+        }
+    }
+    if (positive) {
+        return ret
+    } else {
+        return -ret
+    }
+}
+
+

NOTE: 加法和就绝对值都可能溢出

+

30. Substring with Concatenation of All Words

[HashTable]

+

You are given a string s and an array of strings words of the same length. Return all starting indices of substring(s) in s that is a concatenation of each word in words exactly once, in any order, and without any intervening characters.

+

You can return the answer in any order.

+
fun findSubstring(s: String, words: Array<String>): List<Int> {
+    val ret = mutableListOf<Int>()
+    val wordCountMap = mutableMapOf<String, Int>()
+    for (word in words) {
+        wordCountMap.put(word, wordCountMap.getOrDefault(word, 0) + 1)
+    }
+    val wordLen = words[0].length
+    val totalWorldLen = words.sumBy { it.length }
+    for (i in 0 .. s.length - totalWorldLen) {
+        val subStrMap = mutableMapOf<String, Int>()
+        var matchedCnt = 0
+        for (j in i .. i + totalWorldLen - 1 step wordLen) {
+            val subStr = s.substring(j, j + wordLen)
+            val cnt = subStrMap.getOrDefault(subStr, 0) + 1
+            if (cnt > wordCountMap.getOrDefault(subStr, 0)) {
+                break
+            }
+            matchedCnt++
+            subStrMap.put(subStr, cnt)
+        }
+        if (matchedCnt == words.size) {
+            ret.add(i)
+        }
+    }
+    return ret
+}
+
+

NOTE:使用HashMap加速匹配

+

31. Next Permutation

[Array]

+

Implement next permutation, which rearranges numbers into the lexicographically next greater permutation of numbers.

+

If such an arrangement is not possible, it must rearrange it as the lowest possible order (i.e., sorted in ascending order).

+

The replacement must be in place and use only constant extra memory.

+
fun nextPermutation(nums: IntArray): Unit {
+  var end = nums.size - 1
+  var i = -1
+  var j = -1
+  //find i
+  for (k in end downTo 1) {
+    if (nums[k] > nums[k - 1]) {
+      i = k - 1
+      break
+    }
+  }
+
+  //find j
+  if (i != -1) {
+    for (k in end downTo i) {
+      if (nums[k] > nums[i]) {
+        j = k
+        break
+      }
+    }
+  }
+
+  //swap i and j
+  if (i != -1 && j != -1) {
+    swap(nums, i, j)
+  }
+
+  //reverse i .. tail
+  var start = i + 1
+  while (start < end) {
+    swap(nums, start++, end--)
+  }
+}
+
+fun swap(arr: IntArray, i: Int, j: Int) {
+  val tmp = arr[i]
+  arr[i] = arr[j]
+  arr[j] = tmp
+}
+
+

NOTE: 要让数变大->将右边较大的数与左边较小的数交换,要想使变化的幅度最小,要在较大的数里面找到最小的

+

32. Longest Valid Parentheses

[String | Dynamic Program]

+

Given a string containing just the characters ‘(‘ and ‘)’, find the length of the longest valid (well-formed) parentheses substring.

+
fun longestValidParentheses(s: String): Int {
+    val dp = IntArray(s.length)
+    var ret = 0
+    for ((index, value) in s.withIndex()) {
+        if (value == ')') {
+            if (index > 0) {
+                if (s[index - 1] == '(') {
+                    dp[index] = (if (index - 2 >= 0) dp[index - 2] else 0) + 2
+                } else if (s[index - 1] == ')' && index - dp[index - 1] - 1 >= 0 && s[index - dp[index - 1] - 1] == '(') {
+                    dp[index] = dp[index - 1] + 2 + if (index - dp[index - 1] - 2 >= 0) dp[index - dp[index - 1] - 2] else 0
+                }
+                ret = Math.max(dp[index], ret)
+            }
+        }
+    }
+    return ret
+}
+
+

NOTE: 使用例子列状态转移方程,尾部存在两张情况 “()”, “(…XX))”

+

33. Search in Rotated Sorted Array

[Binary Search]

+

There is an integer array nums sorted in ascending order (with distinct values).

+

Prior to being passed to your function, nums is rotated at an unknown pivot index k (0 <= k < nums.length) such that the resulting array is [nums[k], nums[k+1], …, nums[n-1], nums[0], nums[1], …, nums[k-1]] (0-indexed). For example, [0,1,2,4,5,6,7] might be rotated at pivot index 3 and become [4,5,6,7,0,1,2].

+

Given the array nums after the rotation and an integer target, return the index of target if it is in nums, or -1 if it is not in nums.

+
fun search(nums: IntArray, target: Int): Int {
+    var left = 0
+    var right = nums.size - 1
+    while (left <= right) {
+        val mid = (left + right) / 2
+        if (target == nums[mid]) {
+            return mid
+        }
+        if (nums[left] <= nums[mid]) {//left sorted, 注意这里的等号,left与mid在两个数的时候相等
+            if (target >= nums[left] && target < nums[mid]) {
+                right = mid - 1
+            } else {
+                left = mid + 1
+            }
+        } else {//right sorted
+            if (target > nums[mid] && target <= nums[right]) {
+                left = mid + 1
+            } else {
+                right = mid - 1
+            }
+        }
+
+    }
+    return -1
+}
+
+

Note: 二分法,有一边肯定是有序的,判断是否在有序的返回以内,如果在,那么就可以在这个范围查找,不在的话肯定在另外一边

+

34. Find First and Last Position of Element in Sorted Array

[Binary Search]

+

Given an array of integers nums sorted in ascending order, find the starting and ending position of a given target value.

+

If target is not found in the array, return [-1, -1].

+

Follow up: Could you write an algorithm with O(log n) runtime complexity?

+
fun searchRange(nums: IntArray, target: Int): IntArray {
+    var l = 0
+    var r = nums.size - 1
+    var retL = -1
+    var retR = -1
+
+    //search left bound
+    while (l <= r) {
+        val mid = (l + r) / 2
+        if (nums[mid] == target) {
+            retL = mid
+            r = mid - 1
+        } else if (nums[mid] > target) {
+            r = mid - 1
+        } else {
+            l = mid + 1
+        }
+    }
+
+    //search right bound
+    l = 0
+    r = nums.size - 1
+    while (l <= r) {
+        val mid = (l + r) / 2
+        if (nums[mid] == target) {
+            retR = mid
+            l = mid + 1
+        } else if (nums[mid] > target) {
+            r = mid - 1
+        } else {
+            l = mid + 1
+        }
+    }
+    return intArrayOf(retL, retR)
+}
+
+

Note: 二分法核心是确定搜索区间

+

35. Search Insert Position

[Binary Search]

+

Given a sorted array of distinct integers and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order.

+
fun searchInsert(nums: IntArray, target: Int): Int {
+    var l = 0
+    var r = nums.size - 1
+    while (l <= r) {
+        val mid = (l + r) / 2
+        if (nums[mid] == target) {
+            return mid
+        } else if (nums[mid] > target) {
+            r = mid - 1
+        } else if (nums[mid] < target) {
+            l = mid + 1
+        }
+    }
+    return l
+}
+
+

36. Valid Sudoku

[Array | HashTable]

+

Determine if a 9 x 9 Sudoku board is valid. Only the filled cells need to be validated according to the following rules:

+ +

Note:

+ +
fun isValidSudoku(board: Array<CharArray>): Boolean {
+    val rowMap = Array(10) {IntArray(10)}
+    val colMap = Array(10) {IntArray(10)}
+    val subBoxMap = Array(10) {IntArray(10)}
+
+    var row = 0
+    while (row < board.size) {
+        var col = 0
+
+        while (col < board[row].size) {
+
+            if (board[row][col] == '.') {
+                col++
+                continue
+            }
+
+            val digits = board[row][col] - '0'
+            //row exists
+            if (rowMap[row][digits] != 0) {
+                return false
+            } else {
+                rowMap[row][digits] = 1
+            }
+            //col exists
+            if (colMap[col][digits] != 0) {
+                return false
+            } else {
+                colMap[col][digits] = 1
+            }
+
+            //subbox exists
+            if (subBoxMap[(row / 3) * 3 + col / 3][digits] != 0) {
+                return false
+            } else {
+                subBoxMap[(row / 3) * 3 + col / 3][digits] = 1
+            }
+
+            col++
+        }
+        row++
+    }
+
+    return true
+}
+
+

NOTE: 逐个遍历,然后使用表加速查找

+

37. Sudoku Solver

Write a program to solve a Sudoku puzzle by filling the empty cells.

+

A sudoku solution must satisfy all of the following rules:

+ +

The ‘.’ character indicates empty cells.

+
fun solveSudoku(board: Array<CharArray>): Unit {
+    val rowTable = Array(10) { IntArray(10) { 0 } }
+    val colTable = Array(10) { IntArray(10) { 0 } }
+    val subTable = Array(10) { IntArray(10) { 0 } }
+
+    for (row in 0..board.size - 1) {
+        for (col in 0..board[0].size - 1) {
+            if (board[row][col] != '.') {
+                val digit = board[row][col] - '0'
+                rowTable[row][digit] = 1
+                colTable[col][digit] = 1
+                subTable[3 * (row / 3) + col / 3][digit] = 1
+            }
+        }
+    }
+    solveSudoku(board, rowTable, colTable, subTable, 0, 0)
+}
+
+fun solveSudoku(board: Array<CharArray>, rowTable: Array<IntArray>, colTable: Array<IntArray>, subTable: Array<IntArray>, row: Int, col: Int): Boolean {
+    if (row == board.size) {
+        return true
+    }
+    var ret: Boolean = false
+    if (board[row][col] == '.') {
+        for (i in 1..9) {
+            if (rowTable[row][i] != 1 && colTable[col][i] != 1 && subTable[3 * (row / 3) + col / 3][i] != 1) {
+                rowTable[row][i] = 1
+                colTable[col][i] = 1
+                subTable[3 * (row / 3) + col / 3][i] = 1
+
+                board[row][col] = '0' + i
+                if (col == board[0].size - 1) {
+                    ret = solveSudoku(board, rowTable, colTable, subTable, row + 1, 0)
+                } else {
+                    ret = solveSudoku(board, rowTable, colTable, subTable, row, col + 1)
+                }
+                if (ret) {
+                    return true
+                }
+                board[row][col] = '.'
+                rowTable[row][i] = 0
+                colTable[col][i] = 0
+                subTable[3 * (row / 3) + col / 3][i] = 0
+            }
+        }
+    } else {
+        if (col == board[0].size - 1) {
+            ret = solveSudoku(board, rowTable, colTable, subTable, row + 1, 0)
+        } else {
+            ret = solveSudoku(board, rowTable, colTable, subTable, row, col + 1)
+        }
+    }
+    return ret
+}
+
+

Note: 万能的回溯..

+

38. Count and Say

[String]

+

The count-and-say sequence is a sequence of digit strings defined by the recursive formula:

+ +

To determine how you “say” a digit string, split it into the minimal number of groups so that each group is a contiguous section all of the same character. Then for each group, say the number of characters, then say the character. To convert the saying into a digit string, replace the counts with a number and concatenate every saying.

+
fun countAndSay(n: Int): String {
+    var ret = StringBuilder()
+    for (i in 1..n) {
+        if (ret.isEmpty()) {
+            ret.append(i)
+        } else {
+            val tmp = StringBuilder()
+            var lastChar = 'x'
+            var cnt = 1
+            for ((index, c) in ret.withIndex()) {
+                if (index == 0) {
+                    tmp.append(c)
+                } else {
+                    if (lastChar == c) {
+                        cnt++
+                    } else {
+                        tmp.append(cnt)
+                        tmp.append(c)
+                        cnt = 1
+                    }
+                }
+                lastChar = c
+            }
+            tmp.append(cnt)
+            ret = tmp
+        }
+    }
+    return ret.reverse().toString()
+}
+
+

39. Combination Sum

Given an array of distinct integers candidates and a target integer target, return a list of all unique combinations of candidates where the chosen numbers sum to target. You may return the combinations in any order.

+

The same number may be chosen from candidates an unlimited number of times. Two combinations are unique if the frequency of at least one of the chosen numbers is different.

+

It is guaranteed that the number of unique combinations that sum up to target is less than 150 combinations for the given input.

+
val ret5 = mutableListOf<List<Int>>()
+
+fun combinationSum(candidates: IntArray, target: Int): List<List<Int>> {
+    //candidates.sort()
+    internalCombinationSum(candidates,  target, mutableListOf(), 0)
+    return ret5
+}
+
+fun internalCombinationSum(candidates: IntArray, target: Int, tracer: MutableList<Int>, startIndex: Int) {
+    val sum = tracer.sum()
+    if (sum == target) {
+        ret5.add(ArrayList(tracer))
+        return
+    } else if (sum > target) {
+        return
+    }
+
+    for (i in startIndex..candidates.size - 1) {
+        tracer.add(candidates[i])
+        internalCombinationSum(candidates, target, tracer, i)
+        tracer.removeAt(tracer.size - 1)
+    }
+}
+
+

Note: 可不排序,排序后减少回溯分支

+

40. Combination Sum II

Given a collection of candidate numbers (candidates) and a target number (target), find all unique combinations in candidates where the candidate numbers sum to target.

+

Each number in candidates may only be used once in the combination.

+

Note: The solution set must not contain duplicate combinations.

+
val ret6 = mutableListOf<List<Int>>()
+
+fun combinationSum2(candidates: IntArray, target: Int): List<List<Int>> {
+    candidates.sort()
+    combinationSum2Recur(candidates, target, 0, mutableListOf())
+    return ret6
+}
+
+fun combinationSum2Recur(candidates: IntArray, target: Int, startIndex: Int, tracer: MutableList<Int>) {
+    val sum = tracer.sum()
+    if (sum == target) {
+        ret6.add(ArrayList(tracer))
+        return
+    } else if (sum > target) {
+        return
+    }
+
+    for (i in startIndex..candidates.size - 1) {
+        if (i != startIndex && candidates[i] == candidates[i - 1]) {
+            continue
+        }
+        tracer.add(candidates[i])
+        combinationSum2Recur(candidates, target, i + 1, tracer)
+        tracer.removeAt(tracer.size - 1)
+    }
+
+}
+
+

Note: 排序去重

+

41. First Missing Positive

Given an unsorted integer array nums, find the smallest missing positive integer.

+
fun firstMissingPositive(nums: IntArray): Int {
+    val len = nums.size + 1
+    val hash = Array(len){-1}
+    for ((index, value) in nums.withIndex()) {
+        if (value > 0  && value < len) {
+            hash[value] = index
+        }
+    }
+
+    for (i in  1 .. nums.size) {
+        if (hash[i] == -1) {
+            return i
+        }
+    }
+    return nums.size + 1
+}
+
+

Note: 利用哈希表加速查找

+

42. Trapping Rain Water

Given n non-negative integers representing an elevation map where the width of each bar is 1, compute how much water it can trap after raining.

+
//DP:
+
+fun trap(height: IntArray): Int {
+    if (height.size <= 2) {
+        return 0
+    }
+    var ret = 0
+    val maxLefts = Array(height.size){0}
+    val maxRights = Array(height.size){0}
+
+    var tmpMax = 0
+    for (i in 0 .. height.size - 1) {
+        maxLefts[i] = Math.max(height[i], tmpMax)
+        tmpMax = maxLefts[i]
+    }
+
+    tmpMax = 0
+    for (i in height.size - 1 downTo 0) {
+        maxRights[i] = Math.max(height[i], tmpMax)
+        tmpMax = maxRights[i]
+    }
+
+    for (i in 1 .. (height.size - 2)) {
+        val area = Math.min(maxLefts[i], maxRights[i]) - height[i]
+        if (area > 0) {
+            ret += area
+        }
+    }
+    return ret
+}
+
+//Two Pointer
+fun trap(height: IntArray): Int {
+  if (height.size < 3) {
+    return 0
+  }
+  var ret = 0
+  var maxLeft = height[0]
+  var maxRight = height[height.size - 1]
+  var left = 1
+  var right = height.size - 2
+  while (left <= right) {
+    if (maxLeft < maxRight) {
+      val area = maxLeft - height[left]
+      if (area > 0) {
+        ret += area
+      }
+      maxLeft = Math.max(maxLeft, height[left])
+      left++
+    } else {
+      val area = maxRight - height[right]
+      if (area > 0) {
+        ret += area
+      }
+      maxRight = Math.max(maxRight, height[right])
+      right--
+
+    }
+  }
+  return ret
+}
+
+

Note: 当前条的面积等于左边的最大高度与右边最小高度的最小值减去当前条的高度。双指针可以利用隐含条件,当另外一边的最大大于已经遍历过的这一边的最大,就可以确定左右最大中的最小。

+

43. Multiply Strings

[String | Math]

+

Given two non-negative integers num1 and num2 represented as strings, return the product of num1 and num2, also represented as a string.

+

Note: You must not use any built-in BigInteger library or convert the inputs to integer directly.

+
fun multiply(num1: String, num2: String): String {
+    if (num1.equals("0") || num2.equals("0")) {
+        return "0"
+    }
+    var ret = ""
+    var tailZero = 0
+    for (c2 in num2.length - 1 downTo  0) {
+        val i2 = num2[c2] - '0'
+        var carry = 0
+        val tmp = StringBuilder()
+        for (c1 in num1.length - 1 downTo  0) {
+            val i1 = num1[c1] - '0'
+            val product = i1 * i2 + carry
+            val cur = product % 10
+            carry = product / 10
+            tmp.append(cur.toString())
+        }
+        if (carry > 0) {
+            tmp.append(carry)
+        }
+        for (i in 1..tailZero) {
+            tmp.insert(0, "0")
+        }
+        ret = plus(ret, tmp.toString())
+        tailZero++
+    }
+    return ret.reversed()
+}
+
+fun plus(num1: String, num2: String): String {
+    if (num1.isEmpty()) {
+        return num2
+    }else if (num2.isEmpty()) {
+        return num1
+    }
+    val ret = StringBuilder()
+    var i = 0
+    var j = 0
+    var carry = 0
+    while (true) {
+        if (i <= num1.length - 1 && j <= num2.length - 1) {
+            val i1 = num1[i] - '0'
+            val i2 = num2[i] - '0'
+            val addtion = i1 + i2 + carry
+            ret.append(addtion % 10)
+            carry = addtion / 10
+        } else if (i <= num1.length - 1) {
+            val v = num1[i] - '0'
+            val addtion = v + carry
+            ret.append(addtion % 10)
+            carry = addtion / 10
+        } else if (j <= num2.length - 1) {
+            val v = num2[j] - '0'
+            val addtion = v + carry
+            ret.append(addtion % 10)
+            carry = addtion / 10
+        } else {
+            break
+        }
+        i++
+        j++
+    }
+    if (carry > 0) {
+        ret.append(carry)
+    }
+    return ret.toString()
+}
+
+

44. Wildcard Matching

[Dynamic Programing]

+

Given an input string (s) and a pattern (p), implement wildcard pattern matching with support for ‘?’ and ‘*’ where:

+ +

The matching should cover the entire input string (not partial).

+
    fun isMatch(s: String, p: String): Boolean {
+        val pLen = p.length
+        val sLen = s.length
+        val dp = Array(pLen + 1){ BooleanArray(sLen + 1)}
+        dp[0][0] = true
+        for (i in 0 .. pLen - 1) {
+            if (p[i] == '*') {
+                dp[i + 1][0] = true
+            } else {
+                break
+            }
+        }
+
+        for (i in 0 .. pLen-1) {
+            for (j in 0 .. sLen-1) {
+                if (p[i] == s[j] || p[i] == '?') {
+                    dp[i + 1][j + 1] = dp[i][j]
+                } else if (p[i] == '*') {
+                    dp[i + 1][j + 1] = dp[i][j + 1] || dp[i + 1][j]
+                }
+            }
+        }
+        return dp[pLen][sLen]
+    }
+
+

Note: 注意号的转移方程,是左右匹配的,被消耗或者没有被消耗的情况

+

45. Jump Game II

[Greedy]

+

Given an array of non-negative integers nums, you are initially positioned at the first index of the array.

+

Each element in the array represents your maximum jump length at that position.

+

Your goal is to reach the last index in the minimum number of jumps.

+

You can assume that you can always reach the last index.

+

+//reverse:
+fun jump(nums: IntArray): Int {
+    var step = 0
+    val end = nums.size - 1
+    var position = end
+    var curEnd = end
+    while (position > 0) {
+        position--
+        for (i in 0 until position) {
+            if (i + nums[i] >= curEnd) {
+                position = i
+                break
+            }
+        }
+        curEnd = position
+        step++
+    }
+    return step
+}
+
+//forward:
+fun jump(nums: IntArray): Int {
+    var steps = 0
+    var end = 0
+    var curMaxDistance = 0
+    for (i in 0 .. nums.size - 2) {
+        curMaxDistance = Math.max(nums[i] + i, curMaxDistance)
+        if (end == i) {
+            steps++
+            end = curMaxDistance
+        }
+    }
+    return steps
+}
+
+

Note: 求局部最优解 —> 全局最优解

+

46. Permutations

[Backtracking]

+

Given an array nums of distinct integers, return all the possible permutations. You can return the answer in any order.

+
val ret7 = mutableListOf<List<Int>>();
+
+fun permute(nums: IntArray): List<List<Int>> {
+    permuteRecur(nums, mutableListOf())
+    return ret7
+}
+
+fun permuteRecur(nums: IntArray, tracer: MutableList<Int>) {
+    if (tracer.size == nums.size) {
+        ret7.add(tracer.toList())
+        return
+    }
+    for (i in nums) {
+        if (!tracer.contains(i)) {
+            tracer.add(i)
+            permuteRecur(nums, tracer)
+            tracer.remove(i)
+        }
+    }
+}
+
+//Space O(1)
+
+val ret8 = mutableListOf<List<Int>>();
+
+fun permute(nums: IntArray): List<List<Int>> {
+    permuteRecur(nums, 0)
+    return ret8
+}
+
+fun permuteRecur(nums: IntArray, startIndex: Int) {
+    if (startIndex == nums.size) {
+        ret8.add(nums.toList())
+        return
+    }
+    for (index in startIndex .. nums.size - 1) {
+        swap(nums, index, startIndex)
+        permuteRecur(nums, startIndex + 1)
+        swap(nums, index, startIndex)
+    }
+}
+
+fun swap(x: IntArray, a: Int, b: Int) {
+    val t = x[a]
+    x[a] = x[b]
+    x[b] = t
+}
+
+

47. Permutations II

[Backtracking]

+

Given a collection of numbers, nums, that might contain duplicates, return all possible unique permutations in any order.

+
val ret9 = mutableListOf<List<Int>>()
+
+fun permuteUnique(nums: IntArray): List<List<Int>> {
+  nums.sort()
+  permuteUnique(nums, BooleanArray(nums.size), LinkedList())
+  return ret9
+}
+
+fun permuteUnique(nums: IntArray, visited: BooleanArray, path: LinkedList<Int>) {
+  if (path.size == nums.size ) {
+    ret9.add(path.toList())
+    return
+  }
+  for (i in 0 .. nums.size - 1) {
+    if (i != 0 && nums[i] == nums[i - 1] && !visited[i - 1]) {
+      continue
+    }
+    if (visited[i]) {
+      continue
+    }
+    path.add(nums[i])
+    visited[i] = true
+    permuteUnique(nums, visited, path)
+    visited[i] = false
+    path.removeLast()
+  }
+}
+
+

Note: 开始遍历了之后就不用判断相同的上一个

+

48. Rotate Image

You are given an n x n 2D matrix representing an image, rotate the image by 90 degrees (clockwise).

+

You have to rotate the image in-place, which means you have to modify the input 2D matrix directly. DO NOT allocate another 2D matrix and do the rotation.

+
fun rotate(matrix: Array<IntArray>): Unit {
+  var level = 0
+  val end = matrix.size - 1
+  while (matrix.size - 2 * level >= 2) {
+    for (i in level .. matrix.size - level - 2) {
+      //(level, i)  -> (i, end - level)
+      val leftTop = matrix[level][i]
+      val rightTop = matrix[i][end - level]
+      val rightBottom = matrix[end - level][end - i]
+      val leftBottom = matrix[end - i][level]
+
+      matrix[level][i] = leftBottom
+      matrix[i][end - level] = leftTop
+      matrix[end - level][end - i] = rightTop
+      matrix[end - i][level] = rightBottom
+    }
+    level++
+  }
+}
+
+

Note: 注意边界条件

+

49. Group Anagrams

[HashTable]

+

Given an array of strings strs, group the anagrams together. You can return the answer in any order.

+

An Anagram is a word or phrase formed by rearranging the letters of a different word or phrase, typically using all the original letters exactly once.

+
fun groupAnagrams(strs: Array<String>): List<List<String>> {
+    val map = mutableMapOf<String, MutableList<String>>()
+    for (s in strs) {
+        val chars = s.toCharArray()
+        chars.sort()
+        val key = String(chars)
+        if (map.containsKey(key)) {
+            map[key]?.add(s)
+        } else {
+            map[key] = mutableListOf(s)
+        }
+    }
+    val values = map.values
+    val ret = mutableListOf<List<String>>()
+    values.forEach {
+        ret.add(it)
+    }
+    return ret
+}
+
+

50. Pow(x, n)

[Divide Conquer]

+

Implement pow(x, n), which calculates x raised to the power n (i.e. xn).

+
//递归:
+fun myPow(x: Double, n: Int): Double {
+    if (n < 0) {
+        return 1.0f / myPowRecur(x, Math.abs(n))
+    } else {
+        return myPowRecur(x, Math.abs(n))
+    }
+}
+
+fun myPowRecur(x: Double, n: Int): Double {
+    if (n == 1) {
+        return x
+    } else if (n == 0) {
+        return 1.0
+    }
+    val part = myPowRecur(x, n / 2)
+    if (n % 2 == 0) {
+        return part * part
+    } else {
+        return part * part * x
+    }
+}
+
+//迭代:
+fun myPow(x: Double, n: Int): Double {
+    var ret = 1.0
+    var N = Math.abs(n.toLong())
+    var tmp = x
+    while (N > 0) {
+        if (N and 1 == 1L) {
+            ret *= tmp
+        }
+
+        N = N shr  1
+        tmp *= tmp
+    }
+    return if (n > 0) ret else 1.0 / ret
+}
+
+
+

Note: 指数二进制移位

+

51. N-Queens

[Backtracking]

+

The n-queens puzzle is the problem of placing n queens on an n x n chessboard such that no two queens attack each other.

+

Given an integer n, return all distinct solutions to the n-queens puzzle.

+

Each solution contains a distinct board configuration of the n-queens’ placement, where ‘Q’ and ‘.’ both indicate a queen and an empty space, respectively.

+
val ret = mutableListOf<List<String>>()
+
+fun solveNQueens(n: Int): List<List<String>> {
+    solveNQueensRecur(n, 0, IntArray(n){-1})
+    return ret
+}
+
+fun solveNQueensRecur(n: Int, row: Int, path: IntArray) {
+    //check (row - 1)already placed
+    if (row == path.size) {
+        val listStr = mutableListOf<String>()
+        val tmp = StringBuilder()
+        for (i in path) {
+            tmp.clear()
+            for (j in 0 .. row - 1) {
+                if (i == j) {
+                    tmp.append("Q")
+                } else {
+                    tmp.append(".")
+                }
+            }
+            listStr.add(tmp.toString())
+        }
+        ret.add(listStr)
+        return
+    }
+
+    for (i in 0 .. n - 1) {
+        path[row] = i
+        if (!checkPathIsValid(path, row)) {
+            continue
+        }
+        solveNQueensRecur(n, row + 1, path)
+        path[row] = -1
+    }
+}
+
+fun checkPathIsValid(path: IntArray, row: Int) : Boolean {
+    if (row >= 1) {
+        val cur = path[row]
+        for (k in row - 1 downTo 0) {
+            if (cur == path[k]) {
+                return false
+            }
+            if ((path[k] + row - k) == cur || (path[k] - (row - k)) == cur) {
+                return false
+            }
+        }
+    }
+    return true
+}
+
+

52. N-Queens II

The n-queens puzzle is the problem of placing n queens on an n x n chessboard such that no two queens attack each other.

+

Given an integer n, return the number of distinct solutions to the n-queens puzzle.

+
var ret2 = 0
+
+fun solveNQueensRecur(n: Int, row: Int, path: IntArray) {
+    //check (row - 1)already placed
+    if (row == path.size) {
+        ret2++
+        return
+    }
+
+    for (i in 0 .. n - 1) {
+        path[row] = i
+        if (!checkPathIsValid(path, row)) {
+            continue
+        }
+        solveNQueensRecur(n, row + 1, path)
+        path[row] = -1
+    }
+}
+
+fun checkPathIsValid(path: IntArray, row: Int) : Boolean {
+    if (row >= 1) {
+        val cur = path[row]
+        for (k in row - 1 downTo 0) {
+            if (cur == path[k]) {
+                return false
+            }
+            if ((path[k] + row - k) == cur || (path[k] - (row - k)) == cur) {
+                return false
+            }
+        }
+    }
+    return true
+}
+
+
+fun totalNQueens(n: Int): Int {
+    solveNQueensRecur(n, 0, IntArray(n){-1})
+    return ret2
+}
+
+

53. Maximum Subarray

Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.

+
fun maxSubArray(nums: IntArray): Int {
+    var subMax = nums[0] 
+    var max = subMax
+    for (i in 1 .. nums.size - 1) { 
+        if (subMax < 0) {
+            subMax = nums[i]
+        } else {
+            subMax += nums[i]
+        }
+        max = Math.max(max, subMax)
+    }
+    return max
+}
+
+

Note: 动态规划, 状态压缩,只取最大的那个

+

54. Spiral Matrix

Given an m x n matrix, return all elements of the matrix in spiral order.

+
fun spiralOrder(matrix: Array<IntArray>): List<Int> {
+    val ret = mutableListOf<Int>()
+
+    var left = 0
+    var top = 0
+    var right = matrix[0].size - 1
+    var bottom = matrix.size - 1
+    while (left <= right && top <= bottom) {
+        for (i in left .. right) {
+            ret.add(matrix[top][i])
+        }
+        for (i in top + 1 .. bottom) {
+            ret.add(matrix[i][right])
+        }
+        if (bottom  > top && right > left) {
+            for (i in right - 1 downTo left) {
+                ret.add(matrix[bottom][i])
+            }
+            for (i in bottom - 1 downTo top + 1) {
+                ret.add(matrix[i][left])
+            }
+        }
+        left++
+        top++
+        bottom--
+        right--
+    }
+    return ret
+}
+
+

Note: bottom > top && right > left 不能转向的判断

+

55. Jump Game

[Greedy]

+

Given an array of non-negative integers nums, you are initially positioned at the first index of the array.

+

Each element in the array represents your maximum jump length at that position.

+

Determine if you are able to reach the last index.

+
fun canJump(nums: IntArray): Boolean {
+    if (nums.size == 1) {
+        return true
+    }
+    var barrier = 0
+    var max = nums[0]
+    for (i in 0 .. nums.size - 2) {
+        max = Math.max(max, i + nums[i])
+        if (barrier == i) {
+            if (barrier >= max) {
+                return false
+            }
+            barrier = max
+        }
+
+        if (max >= nums.size - 1) {
+            return true
+        }
+    }
+    return false
+}
+
+

56. Merge Intervals

Given an array of intervals where intervals[i] = [starti, endi], merge all overlapping intervals, and return an array of the non-overlapping intervals that cover all the intervals in the input.

+
fun merge(intervals: Array<IntArray>): Array<IntArray> {
+//        for (i in 0 .. intervals.size - 2) {
+//            for (j in i + 1 .. intervals.size - 1) {
+//                if (intervals[i][0] > intervals[j][0]) {
+//                    val tmp = intervals[i]
+//                    intervals[i] = intervals[j]
+//                    intervals[j] = tmp
+//                }
+//            }
+//        }
+    val ret = mutableListOf<IntArray>()
+    fun quickSort(arr: Array<IntArray>, start: Int, end: Int) {
+        fun swap(arr: Array<IntArray>, i: Int, j: Int) {
+            val tmp = arr[i]
+            arr[i] = arr[j]
+            arr[j] = tmp
+
+        }
+        if (start >= end) {
+            return
+        }
+        val mid = (start + end) / 2
+        swap(arr, mid, start)
+        val pivot = arr[start]
+        var last = start
+        var i = start + 1
+        while (i <= end) {
+            if (arr[i][0] < pivot[0]) {
+                swap(arr, i, ++last)
+            }
+            i++
+        }
+        swap(arr, last, start)
+        quickSort(arr, start, last - 1)
+        quickSort(arr, last + 1, end)
+    }
+    quickSort(intervals, 0, intervals.size - 1)
+    ret.add(intervals[0])
+    for (i in 1 .. intervals.size - 1) {
+        if (ret[ret.size - 1][1] >= intervals[i][0]) {
+            ret[ret.size - 1][0] = Math.min(intervals[i][0], ret[ret.size - 1][0])
+            ret[ret.size - 1][1] = Math.max(intervals[i][1], ret[ret.size - 1][1])
+        } else {
+            ret.add(intervals[i])
+        }
+    }
+    return ret.toTypedArray()
+}
+
+
+

Note: 快排快慢指针的运用

+

57. Insert Interval

Given a set of non-overlapping intervals, insert a new interval into the intervals (merge if necessary).

+

You may assume that the intervals were initially sorted according to their start times.

+
fun insert(intervals: Array<IntArray>, newInterval: IntArray): Array<IntArray> {
+    val newIntervalList = intervals.toMutableList()
+    var i = 0
+    while (i <= newIntervalList.size - 1) {
+        if (newIntervalList[i][0] > newInterval[0]) {
+            newIntervalList.add(i, newInterval)
+            break
+        }
+        i++
+    }
+    if (newIntervalList.size == intervals.size) {
+        newIntervalList.add(newInterval)
+    }
+    val ret = mutableListOf<IntArray>()
+    ret.add(newIntervalList[0])
+    for (j in 1 .. newIntervalList.size - 1) {
+        if (ret[ret.size - 1][1] >= newIntervalList[j][0]) {
+            ret[ret.size - 1][0] = Math.min(newIntervalList[j][0], ret[ret.size - 1][0])
+            ret[ret.size - 1][1] = Math.max(newIntervalList[j][1], ret[ret.size - 1][1])
+        } else {
+            ret.add(newIntervalList[j])
+        }
+    }
+    return ret.toTypedArray()
+}
+
+

58. Length of Last Word

Given a string s consists of some words separated by spaces, return the length of the last word in the string. If the last word does not exist, return 0.

+

A word is a maximal substring consisting of non-space characters only.

+
fun lengthOfLastWord(s: String): Int {
+    var ret = 0
+    var end = s.length - 1
+    //trim tail
+    while (end >= 0) {
+        if (s[end] != ' ') {
+            break
+        } else {
+            end--
+        }
+    }
+
+    while (end >= 0) {
+        if (s[end] == ' ') {
+            break
+        } else {
+            end--
+            ret++
+        }
+    }
+    return ret
+}
+
+

59. Spiral Matrix II

Given a positive integer n, generate an n x n matrix filled with elements from 1 to n2 in spiral order.

+
fun generateMatrix(n: Int): Array<IntArray> {
+    val ret = Array(n) { IntArray(n) }
+    var x = 1
+    var left = 0
+    var top = 0
+    var right = n - 1
+    var bottom = n - 1
+    while (top <= bottom && left <= right) {
+        for (i in left .. right) {
+            ret[top][i] = x++
+        }
+
+        for (i in top + 1 .. bottom) {
+            ret[i][right] = x++
+        }
+
+        for (i in right - 1 downTo left) {
+            ret[bottom][i] = x++
+        }
+
+        for (i in bottom - 1 downTo top + 1) {
+            ret[i][left] = x++
+        }
+        top++
+        left++
+        right--
+        bottom--
+    }
+    return ret
+}
+
+

60. Permutation Sequence

The set [1, 2, 3, …, n] contains a total of n! unique permutations.

+

By listing and labeling all of the permutations in order, we get the following sequence for n = 3:

+
"123"
+"132"
+"213"
+"231"
+"312"
+"321"
+

Given n and k, return the kth permutation sequence.

+
fun getPermutation(n: Int, k: Int): String {
+  val exponents = IntArray(n)
+  exponents[0] = 1
+  for (i in 1 .. n - 1) {
+    exponents[i] = i * exponents[i - 1]
+  }
+  val ret = StringBuilder()
+  val readySelectArr = (1..n).toMutableList()
+  var k = k - 1
+  for (i in n downTo 1) {
+    val cur = k / exponents[i - 1]
+    ret.append(readySelectArr.removeAt(cur))
+    k -= cur * exponents[i - 1]
+  }
+  return ret.toString()
+}
+
+

Note: 注意数组下标从0开始,即求k-1个

+

61. Rotate List

Given the head of a linked list, rotate the list to the right by k places.

+
fun rotateRight(head: ListNode?, k: Int): ListNode? {
+    if (head?.next == null) {
+        return head
+    }
+    var size = 0
+    var tmp = head
+    while (tmp != null) {
+        tmp = tmp.next
+        size++
+    }
+    val dummyHead = ListNode(0)
+    dummyHead.next = head
+    var n = k % size
+    while (n > 0) {
+        var cur = dummyHead.next
+        var curNext = cur?.next
+        while (curNext?.next != null) {
+            cur = cur?.next
+            curNext = curNext.next
+        }
+        cur?.next = null
+        curNext?.next = dummyHead.next
+        dummyHead.next = curNext
+        n--
+    }
+    return dummyHead.next
+}
+
+
+//way 2:
+
+fun rotateRight(head: ListNode?, k: Int): ListNode? {
+    if (head?.next == null) {
+        return head
+    }
+    var size = 1
+    var iter = head
+    while (iter?.next != null) {
+        iter = iter.next
+        size++
+    }
+    iter?.next = head// tail
+    var pre = size - k % size
+
+    iter = head
+    while (pre > 1) {
+        iter = iter?.next
+        pre --
+    }
+    val ret = iter?.next
+    iter?.next = null
+    return ret
+}
+
+

Note: 利用求余数的方法得到有效的的旋转次数。 way 2 闭合环遍历断开

+

62. Unique Paths

[Dynamic Programing]

+

A robot is located at the top-left corner of a m x n grid (marked ‘Start’ in the diagram below).

+

The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked ‘Finish’ in the diagram below).

+

How many possible unique paths are there?

+
fun uniquePaths(m: Int, n: Int): Int {
+    val dp = IntArray(n)
+    for (i in 0..n - 1) {
+        dp[i] = 1
+    }
+    for (i in 1..m - 1) {
+        for (j in 1..n - 1) {
+            dp[j] = dp[j - 1] + dp[j]
+        }
+    }
+    return dp[n - 1]
+}
+
+

Note: 回溯,递归超时; 滚动数组优化空间

+

63. Unique Paths II

A robot is located at the top-left corner of a m x n grid (marked ‘Start’ in the diagram below).

+

The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked ‘Finish’ in the diagram below).

+

Now consider if some obstacles are added to the grids. How many unique paths would there be?

+

An obstacle and space is marked as 1 and 0 respectively in the grid.

+
fun uniquePathsWithObstacles(obstacleGrid: Array<IntArray>): Int {
+    val m = obstacleGrid.size
+    val n = obstacleGrid[0].size
+    if (obstacleGrid[m - 1][n - 1] == 1) {
+        return 0
+    }
+    val dp = IntArray(n) { 0 }
+
+    for (i in 0..n - 1) {
+        if (obstacleGrid[0][i] == 1) {
+            break
+        }
+        dp[i] = 1
+    }
+
+    for (i in 1 .. m - 1) {
+        for (j in 0 .. n - 1) {
+            if (j == 0) {
+                if (obstacleGrid[i][0] == 1) {
+                    dp[j] = 0
+                }
+            } else {
+                val part1 = if(obstacleGrid[i][j] == 1) 0 else dp[j]
+                val part2 = if(obstacleGrid[i][j] == 1) 0 else dp[j - 1]
+                dp[j] = part1 + part2
+            }
+        }
+    }
+    return dp[n - 1]
+}
+
+

Note:状态压缩

+

64. Minimum Path Sum

Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right, which minimizes the sum of all numbers along its path.

+

Note: You can only move either down or right at any point in time.

+
fun minPathSum(grid: Array<IntArray>): Int {
+    val m = grid.size
+    val n = grid[0].size
+    val dp = IntArray(n)
+    dp[0] = grid[0][0]
+    for (i in 1..n - 1) {
+        dp[i] = grid[0][i] + dp[i - 1]
+    }
+    for (i in 1..m - 1) {
+        for (j in 0..n - 1) {
+            if (j == 0) {
+                dp[j] = grid[i][j] + dp[j]
+            } else {
+                dp[j] = grid[i][j] + Math.min(dp[j - 1], dp[j])
+            }
+        }
+    }
+    return dp[n - 1]
+}
+
+

65. Valid Number

[String | FSM]

+

A valid number can be split up into these components (in order):

+
A decimal number or an integer.
+(Optional) An 'e' or 'E', followed by an integer.
+

A decimal number can be split up into these components (in order):

+
(Optional) A sign character (either '+' or '-').
+One of the following formats:
+    At least one digit, followed by a dot '.'.
+    At least one digit, followed by a dot '.', followed by at least one digit.
+    A dot '.', followed by at least one digit.
+

An integer can be split up into these components (in order):

+
(Optional) A sign character (either '+' or '-').
+At least one digit.
+

For example, all the following are valid numbers: [“2”, “0089”, “-0.1”, “+3.14”, “4.”, “-.9”, “2e10”, “-90E3”, “3e+7”, “+6e-1”, “53.5e93”, “-123.456e789”], while the following are not valid numbers: [“abc”, “1a”, “1e”, “e3”, “99e2.5”, “–6”, “-+3”, “95a54e53”].

+

Given a string s, return true if s is a valid number.

+
data class ContextData(var decimal: Boolean, var exponential: Boolean)
+
+enum class StateMachine {
+
+    INVALID {
+        override fun next(c: Char, context: ContextData): StateMachine {
+            TODO("Not yet implemented")
+        }
+    },
+
+    START {
+        override fun next(c: Char, context: ContextData): StateMachine {
+            if ((c == '+' || c == '-')) {
+                return INTEGER
+            } else if (c.isDigit()) {
+                context.decimal = true
+                return INTEGER
+            } else if (c == '.') {
+                return FRACTION
+            } else {
+                return INVALID
+            }
+        }
+    },
+
+    INTEGER {
+        override fun next(c: Char, context: ContextData): StateMachine {
+            if (c.isDigit()) {
+                context.decimal = true
+                return this
+            } else if (c == '.') {
+                return FRACTION
+            } else if (c == 'e' || c == 'E') {
+                context.exponential = false
+                return E_SIGN
+            } else {
+                return INVALID
+            }
+        }
+    },
+
+
+    FRACTION {
+        override fun next(c: Char, context: ContextData): StateMachine {
+            if (c.isDigit()) {
+                context.decimal = true
+                return this
+            } else if (c == 'e' || c == 'E') {
+                context.exponential = false
+                return E_SIGN
+            } else {
+                return INVALID
+            }
+        }
+    },
+
+
+    E_SIGN {
+        override fun next(c: Char, context: ContextData): StateMachine {
+            if (!context.decimal) {
+                return INVALID
+            }
+            if (c == '+' || c == '-') {
+                context.exponential = false
+                return E_INTEGER
+            } else if (c.isDigit()){
+                context.exponential = true
+                return E_INTEGER
+            } else {
+                return INVALID
+            }
+        }
+    },
+
+    E_INTEGER {
+        override fun next(c: Char, context: ContextData): StateMachine {
+            if (!context.decimal) {
+                return INVALID
+            } else if (c.isDigit()) {
+                context.exponential = true
+                return this
+            } else {
+                return INVALID
+            }
+        }
+    };
+
+    abstract fun next(c: Char, context: ContextData): StateMachine
+}
+
+
+fun isNumber(s: String): Boolean {
+    val context = ContextData(false, true)
+    var stateMachine = StateMachine.START
+    for (c in s) {
+        stateMachine = stateMachine.next(c, context)
+        if (stateMachine == StateMachine.INVALID) {
+            return false
+        }
+    }
+    return context.decimal && context.exponential
+}
+
+

66. Plus One

[Array]

+

Given a non-empty array of decimal digits representing a non-negative integer, increment one to the integer.

+

The digits are stored such that the most significant digit is at the head of the list, and each element in the array contains a single digit.

+

You may assume the integer does not contain any leading zero, except the number 0 itself.

+
fun plusOne(digits: IntArray): IntArray {
+    var carry = 1
+    for (i in digits.size - 1 downTo 0) {
+        if (carry == 0) {
+            break
+        }
+        val add = digits[i] + carry
+        digits[i] = add % 10
+        carry = add / 10
+    }
+    if (carry == 1) {
+        return IntArray(digits.size + 1){
+            if (it == 0) {
+                1
+            } else {
+                0
+            }
+        }
+    } else {
+        return digits
+    }
+}
+
+

67. Add Binary

Given two binary strings a and b, return their sum as a binary string.

+
fun addBinary(a: String, b: String): String {
+    val ret = StringBuilder()
+    var ia = a.length - 1
+    var ib = b.length - 1
+    var carry = '0'
+    while (true) {
+        val ca = if (ia >= 0) a[ia--] else '0'
+        val cb = if (ib >= 0) b[ib--] else '0'
+        if (ca == cb) {
+            if (ca == '0') {
+                ret.append(carry)
+                carry = '0'
+            } else {
+                ret.append(carry)
+                carry = '1'
+            }
+        } else {
+            if (carry == '1') {
+                ret.append('0')
+            } else {
+                ret.append('1')
+            }
+        }
+
+        if (ia < 0 && ib < 0) {
+            if (carry == '1') {
+                ret.append('1')
+            }
+            break
+        }
+    }
+
+    return ret.reverse().toString()
+}
+
+

68. Text Justification

Given an array of words and a width maxWidth, format the text such that each line has exactly maxWidth characters and is fully (left and right) justified.

+

You should pack your words in a greedy approach; that is, pack as many words as you can in each line. Pad extra spaces ‘ ‘ when necessary so that each line has exactly maxWidth characters.

+

Extra spaces between words should be distributed as evenly as possible. If the number of spaces on a line do not divide evenly between words, the empty slots on the left will be assigned more spaces than the slots on the right.

+

For the last line of text, it should be left justified and no extra space is inserted between words.

+

Note:

+ +
fun fullJustify(words: Array<String>, maxWidth: Int): List<String> {
+    fun appendBlankChars(builder: StringBuilder, n: Int) {
+        for (i in 1..n) {
+            builder.append(" ")
+        }
+    }
+
+    fun processLine(startIndex: Int, endIndex: Int): String {
+        var totalBlankLen = 0
+        for (i in startIndex..endIndex) {
+            totalBlankLen += words[i].length
+        }
+        totalBlankLen = maxWidth - totalBlankLen
+        val intervals = endIndex - startIndex
+        val lineStr = StringBuilder()
+        if (intervals == 0) {
+            lineStr.append(words[startIndex])
+            appendBlankChars(lineStr, maxWidth - lineStr.length)
+        } else {
+            val blanksOfInterval = IntArray(intervals)
+            var i = 0
+            while (totalBlankLen > 0) {
+                blanksOfInterval[i]++
+                i++
+                if (i == blanksOfInterval.size) {
+                    i = 0
+                }
+                totalBlankLen--
+            }
+            var j = 0
+            for (i in startIndex..endIndex) {
+                lineStr.append(words[i])
+                if (i != endIndex) {
+                    appendBlankChars(lineStr, blanksOfInterval[j++])
+                }
+            }
+        }
+        return lineStr.toString()
+    }
+
+    val ret = mutableListOf<String>()
+    var curLineWidth = 0
+    var startWordIndex = 0
+    var endWordIndex = 0
+    for (wordIndex in 0..words.size - 1) {
+        curLineWidth = curLineWidth + words[wordIndex].length
+        if (curLineWidth == maxWidth) {
+            endWordIndex = wordIndex
+
+            ret.add(processLine(startWordIndex, endWordIndex))
+
+            curLineWidth = 0
+            startWordIndex = endWordIndex + 1
+        } else if (curLineWidth < maxWidth) {
+            curLineWidth++
+            continue
+        } else { //curLineWidth > maxWidth
+            endWordIndex = wordIndex - 1
+
+            ret.add(processLine(startWordIndex, endWordIndex))
+
+            startWordIndex = wordIndex
+            curLineWidth = words[startWordIndex].length + 1
+        }
+    }
+
+    if (startWordIndex <= words.size - 1) {
+        val lineStr = StringBuilder()
+        for (i in startWordIndex..words.size - 1) {
+            lineStr.append(words[i])
+            if (i != words.size - 1) {
+                lineStr.append(" ")
+            }
+        }
+        appendBlankChars(lineStr, maxWidth - lineStr.length)
+        ret.add(lineStr.toString())
+    }
+    return ret
+}
+
+

69. Sqrt(x)

Given a non-negative integer x, compute and return the square root of x.

+

Since the return type is an integer, the decimal digits are truncated, and only the integer part of the result is returned.

+
fun mySqrt(x: Int): Int {
+    var startVal = 1
+    var endVal = x
+    while (startVal <= endVal) {
+        val mid = startVal + (endVal - startVal) / 2
+        if (mid > Int.MAX_VALUE / mid) {
+            endVal = mid - 1
+            continue
+        }
+        val v = mid * mid
+        if (v == x) {
+            return mid
+        } else if (v > x) {
+            endVal = mid - 1
+        } else {
+            startVal = mid + 1
+        }
+    }
+    return endVal
+}
+
+

Note: 防止溢出操作

+

70. Climbing Stairs

[Dynamic Progroming]

+

You are climbing a staircase. It takes n steps to reach the top.

+

Each time you can either climb 1 or 2 steps. In how many distinct ways can you climb to the top?

+
fun climbStairs(n: Int): Int {
+  var first = 1
+  var second = 1
+  for (i in 2 .. n) {
+    val tmp = first
+    first += second
+    second = tmp
+
+  }
+  return first
+}
+
+

71. Simplify Path

Given a string path, which is an absolute path (starting with a slash ‘/‘) to a file or directory in a Unix-style file system, convert it to the simplified canonical path.

+

In a Unix-style file system, a period ‘.’ refers to the current directory, a double period ‘..’ refers to the directory up a level, and any multiple consecutive slashes (i.e. ‘//‘) are treated as a single slash ‘/‘. For this problem, any other format of periods such as ‘…’ are treated as file/directory names.

+

The canonical path should have the following format:

+ +

Return the simplified canonical path.

+
enum class PathState {
+  INIT,
+  SlashStart,
+  DotStart,
+  DotEnd,
+  CHAR
+}
+
+fun simplifyPath(path: String): String {
+  var curSlashStart = 0
+  var state = PathState.INIT
+  val stack = LinkedList<String>()
+  for ((index, c) in path.withIndex()) {
+    if (c == '/') {
+      if (state == PathState.INIT) {
+        curSlashStart = index
+        state = PathState.SlashStart
+      } else if (state == PathState.DotStart) {
+        state = PathState.SlashStart
+        curSlashStart = index
+      } else if (state == PathState.DotEnd) {
+        if (!stack.isEmpty()) {
+          stack.pop()
+        }
+        state = PathState.SlashStart
+        curSlashStart = index
+      } else if (state == PathState.CHAR) {
+        stack.push(path.substring(curSlashStart + 1..index - 1))
+        curSlashStart = index
+        state = PathState.SlashStart
+      } else if (state == PathState.SlashStart) {
+        curSlashStart = index
+      }
+    } else if (c == '.') {
+      if (state == PathState.SlashStart) {
+        state = PathState.DotStart
+      } else if (state == PathState.DotStart) {
+        state = PathState.DotEnd
+      } else if (state == PathState.DotEnd) {
+        state = PathState.CHAR
+      }
+    } else {
+      state = PathState.CHAR
+    }
+  }
+
+  if (state == PathState.DotEnd) {
+    if (stack.isNotEmpty()) {
+      stack.pop()
+    }
+  } else if (state == PathState.CHAR) {
+    stack.push(path.substring(curSlashStart + 1..path.length - 1))
+  }
+
+  val ret = StringBuilder()
+  ret.append("/")
+  while (stack.isNotEmpty()) {
+    ret.append(stack.removeLast())
+    ret.append("/")
+  }
+  if (ret.length > 1) {
+    ret.deleteCharAt(ret.length - 1)
+  }
+  return ret.toString()
+}
+
+

72. Edit Distance

Given two strings word1 and word2, return the minimum number of operations required to convert word1 to word2.

+

You have the following three operations permitted on a word:

+ +
fun minDistance(word1: String, word2: String): Int {
+    val A = word1.length
+    val B = word2.length
+    if (A * B == 0) {
+        return A + B
+    }
+
+    val dp = Array(A + 1) { IntArray(B + 1) }
+    for (i in 0 .. A) {
+        dp[i][0] = i
+    }
+    for (i in 0 .. B) {
+        dp[0][i] = i
+    }
+
+    for (i in 1 .. A) {
+        for (j in 1 ..B) {
+            dp[i][j] = Math.min(dp[i - 1][j] + 1, dp[i][j - 1] + 1)
+            if (word1[i - 1] == word2[j - 1]) {
+                dp[i][j] = Math.min(dp[i - 1][j - 1], dp[i][j])
+            } else {
+                dp[i][j] = Math.min(dp[i - 1][j - 1] + 1, dp[i][j])
+            }
+
+        }
+    }
+    return dp[A][B]
+}
+
+

73. Set Matrix Zeroes

Given an m x n matrix. If an element is 0, set its entire row and column to 0. Do it in-place.

+

Follow up:

+ +
fun setZeroes(matrix: Array<IntArray>): Unit {
+    val m = matrix.size
+    val n = matrix[0].size
+    var row0Zero = false
+    var col0Zero = false
+    for (i in 0..m - 1) {
+        if (matrix[i][0] == 0) {
+            col0Zero = true
+            break
+        }
+    }
+
+    for (i in 0..n - 1) {
+        if (matrix[0][i] == 0) {
+            row0Zero = true
+            break
+        }
+    }
+
+    for (i in 1..m - 1) {
+        for (j in 1..n - 1) {
+            if (matrix[i][j] == 0) {
+                matrix[0][j] = 0
+                matrix[i][0] = 0
+            }
+        }
+    }
+
+    for (i in 1..m - 1) {
+        for (j in 1..n - 1) {
+            if (matrix[0][j] == 0 || matrix[i][0] == 0) {
+                matrix[i][j] = 0
+            }
+        }
+    }
+
+    if (col0Zero) {
+        for (i in 0..m - 1) {
+            matrix[i][0] = 0
+        }
+    }
+
+    if (row0Zero) {
+        for (i in 0..n - 1) {
+            matrix[0][i] = 0
+        }
+    }
+}
+
+

Note: O(1)空间

+

74. Search a 2D Matrix

Write an efficient algorithm that searches for a value in an m x n matrix. This matrix has the following properties:

+ +
fun searchMatrix(matrix: Array<IntArray>, target: Int): Boolean {
+    val m = matrix.size
+    val n = matrix[0].size
+    var start = 0
+    var end = m * n - 1
+    while (start <= end) {
+        val mid = (start + end) / 2
+        val midVal = matrix[mid / n][mid % n]
+        if (target == midVal) {
+            return true
+        } else if (target > midVal) {
+            start = mid + 1
+        } else {
+            end = mid - 1
+        }
+    }
+    return false
+}
+
+
75. Sort Colors

Given an array nums with n objects colored red, white, or blue, sort them in-place so that objects of the same color are adjacent, with the colors in the order red, white, and blue.

+

We will use the integers 0, 1, and 2 to represent the color red, white, and blue, respectively.

+
//counter sort
+fun sortColors(nums: IntArray): Unit {
+    val counter = IntArray(3)
+    for (v in nums) {
+        counter[v]++
+    }
+    var i = 0
+    for ((index, c) in counter.withIndex()) {
+        for (ci in 1..c) {
+            nums[i++] = index
+        }
+    }
+}
+
+
+//two pointer
+fun sortColors(nums: IntArray): Unit {
+    fun swap(i: Int, j: Int) {
+        val tmp = nums[i]
+        nums[i] = nums[j]
+        nums[j] = tmp
+    }
+
+    var left = 0
+    var right = nums.size - 1
+    var i = 0
+    while (i <= right) {
+        if (nums[i] == 0) {
+            swap(i, left)
+            left++
+        } else if (nums[i] == 2) {
+            swap(i, right)
+            right--
+            if (nums[i] != 1) {
+                i--
+            }
+        }
+        i++
+    }
+}
+
+

76. Minimum Window Substring

[Sliding Window | Hash Table | Two Pointers]

+

Given two strings s and t, return the minimum window in s which will contain all the characters in t. If there is no such window in s that covers all characters in t, return the empty string “”.

+

Note that If there is such a window, it is guaranteed that there will always be only one unique minimum window in s.

+
fun minWindow(s: String, t: String): String {
+    val tMap = mutableMapOf<Char, Int>()
+    for (c in t) {
+        tMap[c] = tMap.getOrDefault(c, 0) + 1
+    }
+    var found =  false
+    var minStartIndex = 0
+    var minEndIndex = s.length - 1
+    var startIndex = 0
+    var endIndex = 0
+    var count = t.length
+    while (endIndex < s.length) {
+        val endEntryCnt = tMap.get(s[endIndex])
+        if (endEntryCnt != null) {
+            tMap.put(s[endIndex], endEntryCnt - 1)
+            if (endEntryCnt > 0) {
+                count--
+            }
+        }
+        while (count == 0) {
+            found = true
+            if (endIndex - startIndex < minEndIndex - minStartIndex) {
+                minStartIndex = startIndex
+                minEndIndex = endIndex
+            }
+            val startEntryCnt = tMap.get(s[startIndex])
+            if (startEntryCnt != null) {
+                tMap.put(s[startIndex], startEntryCnt + 1)
+                if (startEntryCnt + 1 > 0) {
+                    count++
+                }
+            }
+            startIndex++
+        }
+        endIndex++
+    }
+    return if (found) s.substring(minStartIndex..minEndIndex) else ""
+}
+
+

Note: 注意t会有重复的子串

+

77. Combinations

Given two integers n and k, return all possible combinations of k numbers out of the range [1, n].

+

You may return the answer in any order.

+
val ret8 = mutableListOf<List<Int>>()
+
+fun combine(n: Int, k: Int): List<List<Int>> {
+    combineRecur(n, 1, k, mutableListOf())
+    return ret8
+}
+
+fun combineRecur(n: Int, start:Int, k: Int, path: MutableList<Int>){
+    if (k == 0) {
+        ret8.add(ArrayList(path))
+        return
+    }
+    for (i in start..n) {
+        path.add(i)
+        combineRecur(n, i + 1, k - 1, path)
+        path.removeAt(path.size - 1)
+    }
+}
+
+

78. Subsets

Given an integer array nums of unique elements, return all possible subsets (the power set).

+

The solution set must not contain duplicate subsets. Return the solution in any order.

+
val ret10 = mutableListOf<List<Int>>()
+
+fun subsets(nums: IntArray): List<List<Int>> {
+    subsetsRecur(nums, 0, mutableListOf())
+    return ret10
+}
+
+fun subsetsRecur(nums: IntArray, start: Int, path: MutableList<Int>) {
+    ret10.add(ArrayList(path))
+    if (start == nums.size || path.size == nums.size) {
+        return
+    }
+
+    for (i in start..nums.size - 1) {
+        path.add(nums[i])
+        subsetsRecur(nums, i + 1, path)
+        path.removeAt(path.size - 1)
+    }
+}
+
+

Given an m x n grid of characters board and a string word, return true if word exists in the grid.

+

The word can be constructed from letters of sequentially adjacent cells, where adjacent cells are horizontally or vertically neighboring. The same letter cell may not be used more than once.

+
fun exist(board: Array<CharArray>, word: String): Boolean {
+    val visited = Array(board.size){BooleanArray(board[0].size)}
+    for (i in 0..board.size - 1) {
+        for (j in 0..board[0].size - 1) {
+            if (existRecur(i, j, board, word, 0, visited)) {
+                return true
+            }
+        }
+    }
+    return false
+}
+
+fun existRecur(i: Int, j:Int, board: Array<CharArray>, word: String, wordCur: Int, visited: Array<BooleanArray>): Boolean {
+    if (i < 0 || i > board.size - 1 || j < 0 || j > board[0].size - 1 || visited[i][j] ||board[i][j] != word[wordCur]) {
+        return false
+    }
+    visited[i][j] = true
+
+    if (wordCur == word.length - 1) {
+        return true
+    }
+    if (existRecur(i, j - 1, board, word, wordCur + 1, visited)) {
+        return true
+    }
+
+    if (existRecur(i, j + 1, board, word, wordCur + 1, visited)) {
+        return true
+    }
+
+    if (existRecur(i - 1, j, board, word, wordCur + 1, visited)) {
+        return true
+    }
+
+    if (existRecur(i + 1, j, board, word, wordCur + 1, visited)) {
+        return true
+    }
+    visited[i][j] = false
+    return false
+}
+
+

80. Remove Duplicates from Sorted Array II

Given a sorted array nums, remove the duplicates in-place such that duplicates appeared at most twice and return the new length.

+

Do not allocate extra space for another array; you must do this by modifying the input array in-place with O(1) extra memory.

+

Clarification:

+

Confused why the returned value is an integer, but your answer is an array?

+

Note that the input array is passed in by reference, which means a modification to the input array will be known to the caller.

+

Internally you can think of this:

+

// nums is passed in by reference. (i.e., without making a copy)
int len = removeDuplicates(nums);

+

// any modification to nums in your function would be known by the caller.
// using the length returned by your function, it prints the first len elements.
for (int i = 0; i < len; i++) {
print(nums[i]);
}

+
fun removeDuplicates(nums: IntArray): Int {
+    if (nums.size <= 2) {
+        return 2
+    }
+    nums.sort()
+    var slow = 2
+    for (fast in 2..nums.size - 1) {
+        if (nums[slow - 2] != nums[fast]) {
+            nums[slow] = nums[fast]
+            slow++
+        }
+    }
+    return slow
+}
+
+

Note: 移动慢指针条件; 和慢指针前两个元素对比

+

81. Search in Rotated Sorted Array II

There is an integer array nums sorted in non-decreasing order (not necessarily with distinct values).

+

Before being passed to your function, nums is rotated at an unknown pivot index k (0 <= k < nums.length) such that the resulting array is [nums[k], nums[k+1], …, nums[n-1], nums[0], nums[1], …, nums[k-1]] (0-indexed). For example, [0,1,2,4,4,4,5,6,6,7] might be rotated at pivot index 5 and become [4,5,6,6,7,0,1,2,4,4].

+

Given the array nums after the rotation and an integer target, return true if target is in nums, or false if it is not in nums.

+
fun search(nums: IntArray, target: Int): Boolean {
+    var start = 0
+    var end = nums.size - 1
+    while (start <= end) {
+        val mid = (start + end) / 2
+        if (nums[mid] == target) {
+            return true
+        } else {
+            if (nums[mid] == nums[start] && nums[mid] == nums[end]) {
+                start++
+                end--
+            } else  if (nums[mid] <= nums[end]) {//right sorted
+                if (target > nums[mid] && target <= nums[end]) {
+                    start = mid + 1
+                } else {
+                    end = mid - 1
+                }
+            } else if (nums[mid] >= nums[start]) {//left sorted
+                if (target >= nums[start] && target < nums[mid]) {
+                    end = mid - 1
+                } else {
+                    start = mid + 1
+                }
+            }
+        }
+    }
+    return false
+}
+
+

82. Remove Duplicates from Sorted List II

Given the head of a sorted linked list, delete all nodes that have duplicate numbers, leaving only distinct numbers from the original list. Return the linked list sorted as well.

+
fun deleteDuplicates(head: ListNode?): ListNode? {
+    val dummyNode = ListNode(0, head)
+    var pre = dummyNode
+    var cur = head
+    while (cur != null) {
+        if (cur.`val` == cur.next?.`val`) {
+            var tmp = cur
+            while (tmp != null && tmp.`val` == tmp.next?.`val`) {
+                tmp = tmp.next
+            }
+            cur = tmp?.next
+            pre.next = cur
+        } else {
+            pre = cur
+            cur = cur.next
+        }
+    }
+    return dummyNode.next
+}
+
+

83. Remove Duplicates from Sorted List

Given the head of a sorted linked list, delete all duplicates such that each element appears only once. Return the linked list sorted as well.

+
fun deleteDuplicates(head: ListNode?): ListNode? {
+    var cur = head
+    while (cur?.next != null) {
+        if (cur.`val` == cur.next?.`val`) {
+            cur.next = cur.next?.next
+        } else {
+            cur = cur.next
+        }
+    }
+    return head
+}
+
+

!!!先跳过Hard….

+

86. Partition List

Given the head of a linked list and a value x, partition it such that all nodes less than x come before nodes greater than or equal to x.

+

You should preserve the original relative order of the nodes in each of the two partitions.

+
fun partition(head: ListNode?, x: Int): ListNode? {
+    val dummyHeadLeft = ListNode(0)
+    var curLeft = dummyHeadLeft
+    val dummyHeadRight = ListNode(0)
+    var curRight = dummyHeadRight
+    var cur = head
+    while (cur != null) {
+        if (cur.`val` < x) {
+            curLeft.next = cur
+            curLeft = cur
+        } else{
+            curRight.next = cur
+            curRight = cur
+        }
+        cur = cur.next
+    }
+    //merge two list
+    curRight.next = null
+    curLeft.next = dummyHeadRight.next
+    return dummyHeadLeft.next
+}
+
+

Note: 注意出现循环链表

+

88. Merge Sorted Array

Given two sorted integer arrays nums1 and nums2, merge nums2 into nums1 as one sorted array.

+

The number of elements initialized in nums1 and nums2 are m and n respectively. You may assume that nums1 has a size equal to m + n such that it has enough space to hold additional elements from nums2.

+
fun merge(nums1: IntArray, m: Int, nums2: IntArray, n: Int): Unit {
+    if (n <=0) {
+        return
+    }
+    var cur = nums1.size - 1
+    var p1 = m - 1
+    var p2 = n - 1
+    while (p1 >= 0 && p2 >= 0) {
+        if (nums1[p1] > nums2[p2]) {
+            nums1[cur--] = nums1[p1--]
+        } else {
+            nums1[cur--] = nums2[p2--]
+        }
+    }
+
+    while (p2 >= 0) {
+        nums1[cur--] = nums2[p2--]
+    }
+}
+
+

89. Gray Code

The gray code is a binary numeral system where two successive values differ in only one bit.

+

Given an integer n representing the total number of bits in the code, return any sequence of gray code.

+

A gray code sequence must begin with 0.

+
val grayCodeRet = mutableListOf<Int>()
+
+fun grayCode(n: Int): List<Int> {
+    val path = StringBuilder()
+    grayCodeRecur(0, n, true, path)
+    path.deleteCharAt(path.length - 1)
+    grayCodeRecur(1, n, false, path)
+    //println(grayCodeRet)
+    return grayCodeRet
+}
+
+fun grayCodeRecur(cur: Int, n: Int, left: Boolean, path: StringBuilder) {
+    path.append(cur)
+    if (path.length >= n) {
+        grayCodeRet.add(Integer.parseInt(path.toString(), 2))
+        return
+    }
+    if (left) {
+        grayCodeRecur(0, n, true, path)
+        path.deleteCharAt(path.length - 1)
+        grayCodeRecur(1, n, false, path)
+        path.deleteCharAt(path.length - 1)
+    } else {
+        grayCodeRecur(1, n, true, path)
+        path.deleteCharAt(path.length - 1)
+        grayCodeRecur(0, n, false, path)
+        path.deleteCharAt(path.length - 1)
+    }
+}
+
+

90. Subsets II

Given an integer array nums that may contain duplicates, return all possible subsets (the power set).

+

The solution set must not contain duplicate subsets. Return the solution in any order.

+
val ret11 = mutableListOf<List<Int>>()
+
+fun subsetsWithDup(nums: IntArray): List<List<Int>> {
+    nums.sort()
+    subsetsWithDupRecur(nums, 0, mutableListOf())
+    return ret11
+}
+
+fun subsetsWithDupRecur(nums: IntArray, start: Int, path: MutableList<Int>) {
+    ret11.add(ArrayList(path))
+    if (start >= nums.size) {
+        return
+    }
+    for (i in start..nums.size - 1) {
+        if (i > start && nums[i] == nums[i - 1]) {
+            continue
+        }
+        path.add(nums[i])
+        subsetsWithDupRecur(nums, i + 1, path)
+        path.removeAt(path.size - 1)
+    }
+}
+
+

91. Decode Ways

A message containing letters from A-Z can be encoded into numbers using the following mapping:

+

‘A’ -> “1”
‘B’ -> “2”

‘Z’ -> “26”

+

To decode an encoded message, all the digits must be grouped then mapped back into letters using the reverse of the mapping above (there may be multiple ways). For example, “11106” can be mapped into:

+
"AAJF" with the grouping (1 1 10 6)
+"KJF" with the grouping (11 10 6)
+

Note that the grouping (1 11 06) is invalid because “06” cannot be mapped into ‘F’ since “6” is different from “06”.

+

Given a string s containing only digits, return the number of ways to decode it.

+

The answer is guaranteed to fit in a 32-bit integer.

+
fun numDecodings(s: String): Int {
+    val dp = IntArray(s.length + 1)
+    dp[0] = 1
+    for (i in 0..s.length - 1) {
+        if (s[i] != '0') {
+            dp[i + 1] = dp[i]
+        }
+
+        if (i > 0 && s[i - 1] != '0' && ((s[i - 1] - '0') * 10 + (s[i] - '0')) <= 26) {
+            dp[i + 1] += dp[i - 1]
+        }
+    }
+    return dp[s.length]
+}
+
+

92. Reverse Linked List II

Given the head of a singly linked list and two integers left and right where left <= right, reverse the nodes of the list from position left to position right, and return the reversed list.

+
fun reverseBetween(head: ListNode?, left: Int, right: Int): ListNode? {
+    val dummyHead = ListNode(0)
+    dummyHead.next = head
+    var cur = head
+    var i = 1
+    var before: ListNode? = null
+    while (i < left) {
+        before = cur
+        cur = cur?.next
+        i++
+    }
+    val rangeTail = cur
+    var after = cur
+    var pre: ListNode? = null
+    while (cur != null && i <= right) {
+        val next = cur.next
+        cur.next = pre
+        pre = cur
+        cur = next
+        i++
+        after = next
+    }
+    val rangeHead = pre
+    before?.next = rangeHead
+    rangeTail?.next = after
+    if (before == null) {
+        return rangeHead
+    } else {
+        return dummyHead.next
+    }
+}
+
+

93. Restore IP Addresses

Given a string s containing only digits, return all possible valid IP addresses that can be obtained from s. You can return them in any order.

+

A valid IP address consists of exactly four integers, each integer is between 0 and 255, separated by single dots and cannot have leading zeros. For example, “0.1.2.201” and “192.168.1.1” are valid IP addresses and “0.011.255.245”, “192.168.1.312” and “192.168@1.1“ are invalid IP addresses.

+
val ret = mutableListOf<String>()
+
+fun restoreIpAddresses(s: String): List<String> {
+    restoreIpAddressesRecur(s, 0, mutableListOf())
+    return ret
+}
+
+fun restoreIpAddressesRecur(s: String, start: Int, path: MutableList<String>) {
+    if (path.size == 4 && start == s.length) {
+        val builder = StringBuilder()
+        for (it in path) {
+            builder.append(it).append('.')
+        }
+        builder.deleteCharAt(builder.length - 1)
+        ret.add(builder.toString())
+        return
+    }
+
+    for (i in start .. s.length - 1) {
+        if (path.size == 3 && (s.length - 1 - start) > 3) {
+            break
+        }
+        if (i - start > 0 && s[start] == '0') {
+            break
+        }
+        val item = s.subSequence(start .. i).toString()
+        if (Integer.parseInt(item) > 255) {
+            break
+        }
+        path.add(item)
+        restoreIpAddressesRecur(s, i + 1, path)
+        path.removeAt(path.size - 1)
+    }
+}
+
+

94. Binary Tree Inorder Traversal

Given the root of a binary tree, return the inorder traversal of its nodes’ values.

+
//递归
+fun inorderTraversal(root: TreeNode?): List<Int> {
+    val ret = mutableListOf<Int>()
+    inorderTraversalRecur(root, ret)
+    return ret
+}
+
+fun inorderTraversalRecur(node: TreeNode?, path: MutableList<Int>) {
+    if (node == null) {
+        return
+    }
+    inorderTraversalRecur(node.left, path)
+    path.add(node.`val`)
+    inorderTraversalRecur(node.right, path)
+}
+
+//迭代
+fun inorderTraversal(root: TreeNode?): List<Int> {
+    val ret = mutableListOf<Int>()
+    val stack: Deque<TreeNode> = LinkedList<TreeNode>()
+    var cur = root
+    while (cur != null || stack.isNotEmpty()) {
+        while (cur != null) {
+            stack.push(cur)
+            cur = cur.left
+        }
+        cur = stack.pop()
+        ret.add(cur.`val`)
+        cur = cur.right
+    }
+    return ret
+}
+
+

95. Unique Binary Search Trees II

Given an integer n, return all the structurally unique BST’s (binary search trees), which has exactly n nodes of unique values from 1 to n. Return the answer in any order.

+
fun generateTrees(n: Int): List<TreeNode?> {
+    return generateTreesInternal(IntArray(n) {
+        it + 1
+    }, 0, n - 1)
+}
+
+fun generateTreesInternal(arr: IntArray, start: Int, end: Int): List<TreeNode?> {
+    val ret = mutableListOf<TreeNode?>()
+    if (start > end) {
+        ret.add(null)
+        return ret
+    }
+    for (i in start..end) {
+
+        val leftTrees = generateTreesInternal(arr, start, i - 1)
+        val rightTrees = generateTreesInternal(arr, i + 1, end)
+
+        for (left in leftTrees) {
+            for (right in rightTrees) {
+                val root = TreeNode(arr[i])
+                root.left = left
+                root.right = right
+                ret.add(root)
+            }
+        }
+    }
+    return ret
+}
+
+

96. Unique Binary Search Trees

Given an integer n, return the number of structurally unique BST’s (binary search trees) which has exactly n nodes of unique values from 1 to n.

+
//Divide Conquer
+fun numTrees(n: Int): Int {
+    return numTreesRecur(1, n)
+}
+
+fun numTreesRecur(start: Int, end: Int) : Int{
+    var ret = 0
+    if (start > end) {
+        return 1
+    }
+    for (i in start..end) {
+        val leftNum = numTreesRecur(start, i - 1)
+        val rightNum = numTreesRecur(i + 1, end)
+        ret += leftNum * rightNum
+    }
+    return ret
+}
+
+//Dynamic Programing
+fun numTrees(n: Int): Int {
+    val G = IntArray(n + 1)
+    G[0] = 1
+    G[1] = 1
+    for (i in 2 .. n) {
+        for (k in 1..i) {
+            G[i] += G[k - 1] * G [i - k]
+        }
+    }
+    return G[n]
+}
+
+

Note: DP的状态转移方程可以从分治推导出来

+

97. Interleaving String

Given strings s1, s2, and s3, find whether s3 is formed by an interleaving of s1 and s2.

+

An interleaving of two strings s and t is a configuration where they are divided into non-empty substrings such that:

+ +

Note: a + b is the concatenation of strings a and b.

+
//递归超时.....:
+fun isInterleave(s1: String, s2: String, s3: String): Boolean {
+    return isInterleave(s1, s1.length - 1, s2, s2.length - 1, s3, s3.length - 1)
+}
+
+fun isInterleave(s1: String, i1: Int, s2: String, i2: Int, s3: String, i3: Int): Boolean {
+    if (i1 < 0 && i2 < 0 && i3 < 0) {
+        return true
+    }
+        if (i1 >=0 && i3 >= 0 && s1[i1] == s3[i3] && isInterleave(s1, i1 - 1, s2, i2, s3, i3 - 1)) {
+        return true
+    } else if (i2 >= 0 && i3 >= 0 && s2[i2] == s3[i3] && isInterleave(s1, i1, s2, i2 - 1, s3, i3 - 1)) {
+        return true
+    } else {
+        return false
+    }
+}
+
+//DP:
+fun isInterleave(s1: String, s2: String, s3: String): Boolean {
+    if (s1.length + s2.length != s3.length) {
+        return false
+    }
+    val dp = Array(s1.length + 1) {BooleanArray(s2.length + 1)}
+    dp[0][0] = true
+    for (i in 0 .. s1.length) {
+        for (j in 0 .. s2.length) {
+            if (i > 0 && s3[i + j - 1] == s1[i - 1] && dp[i - 1][j]) {
+                dp[i][j] = true
+            }
+
+            if (j > 0 && s3[i + j - 1] == s2[j - 1] && dp[i][j - 1]) {
+                dp[i][j] = true
+            }
+        }
+    }
+    return dp[s1.length][s2.length]
+}
+
+

98. Validate Binary Search Tree

Given the root of a binary tree, determine if it is a valid binary search tree (BST).

+

A valid BST is defined as follows:

+ +
//递归:
+var pre: Int? = null
+
+fun isValidBST(root: TreeNode?): Boolean {
+    if (root == null) {
+        return true
+    }
+    if (!isValidBST(root.left)) {
+        return false
+    }
+    println(root.`val`)
+    if (pre != null && root.`val` <= pre!!) {
+        return false
+    } else {
+        pre = root.`val`
+        return isValidBST(root.right)
+    }
+}
+
+//迭代
+fun isValidBST(root: TreeNode?): Boolean {
+    var pre: Int? = null
+    val stack = LinkedList<TreeNode>()
+    var cur = root
+    while (cur != null || stack.isNotEmpty()) {
+        while (cur != null) {
+            stack.push(cur)
+            cur = cur.left
+        }
+        val top = stack.pop()
+        if (pre != null && top.`val` <= pre) {
+            return false
+        } else {
+            pre = top.`val`
+        }
+        cur = top.right
+    }
+    return true
+}
+
+

100. Same Tree

Given the roots of two binary trees p and q, write a function to check if they are the same or not.

+

Two binary trees are considered the same if they are structurally identical, and the nodes have the same value.

+
fun isSameTree(p: TreeNode?, q: TreeNode?): Boolean {
+    if (p?.`val` != q?.`val`) {
+        return false
+    }
+    if (p == null && q == null) {
+        return true
+    }
+    return isSameTree(p?.left, q?.left) && isSameTree(p?.right, q?.right)
+}
+
+

101. Symmetric Tree

Given the root of a binary tree, check whether it is a mirror of itself (i.e., symmetric around its center).

+
fun isSymmetric(root: TreeNode?): Boolean {
+    return isSymmetricRecur(root?.left, root?.right)
+}
+
+fun isSymmetricRecur(L: TreeNode?, R: TreeNode?): Boolean {
+    if (L == null && R == null) {
+        return true
+    } else if (L == null || R == null) {
+        return false
+    }
+    if (L.`val` != R.`val`) {
+        return false
+    }
+    if (!isSymmetricRecur(L.left, R.right)) {
+        return false
+    }
+
+    if (!isSymmetricRecur(L.right, R.left)) {
+        return false
+    }
+    return true
+}
+
+

102. Binary Tree Level Order Traversal

Given the root of a binary tree, return the level order traversal of its nodes’ values. (i.e., from left to right, level by level).

+
fun levelOrder(root: TreeNode?): List<List<Int>> {
+    val ret = mutableListOf<List<Int>>()
+    if (root == null) {
+        return ret
+    }
+    val queue: Queue<TreeNode> = LinkedList()
+    queue.offer(root)
+    var curLevelCnt = 1
+    var nextLevelCnt = 0
+    var tmpList = mutableListOf<Int>()
+    while (queue.isNotEmpty()) {
+        val node: TreeNode = queue.remove()
+        tmpList.add(node.`val`)
+        curLevelCnt--
+
+        if (node.left != null) {
+            queue.offer(node.left)
+            nextLevelCnt++
+        }
+
+        if (node.right != null) {
+            queue.offer(node.right)
+            nextLevelCnt++
+        }
+
+        if (curLevelCnt == 0) {
+            ret.add(tmpList)
+            tmpList = mutableListOf()
+            curLevelCnt = nextLevelCnt
+            nextLevelCnt = 0
+        }
+    }
+    return ret
+}
+
+

103. Binary Tree Zigzag Level Order Traversal

Given the root of a binary tree, return the zigzag level order traversal of its nodes’ values. (i.e., from left to right, then right to left for the next level and alternate between).

+
    fun zigzagLevelOrder(root: TreeNode?): List<List<Int>> {
+        val ret = mutableListOf<List<Int>>()
+        if (root == null) {
+            return ret
+        }
+        val queue: Queue<TreeNode> = LinkedList()
+        queue.offer(root)
+        var curLevelCnt = 1
+        var nextLevelCnt = 0
+        var level = 0
+        var tmpList = mutableListOf<Int>()
+        while (queue.isNotEmpty()) {
+            val node: TreeNode = queue.remove()
+            tmpList.add(node.`val`)
+            curLevelCnt--
+
+            if (node.left != null) {
+                queue.offer(node.left)
+                nextLevelCnt++
+            }
+
+            if (node.right != null) {
+                queue.offer(node.right)
+                nextLevelCnt++
+            }
+
+            if (curLevelCnt == 0) {
+                if (level % 2 == 1) {
+                    ret.add(tmpList.reversed())
+                } else {
+                    ret.add(tmpList)
+                }
+                level++
+                tmpList = mutableListOf()
+                curLevelCnt = nextLevelCnt
+                nextLevelCnt = 0
+            }
+        }
+        return ret
+    }
+
+

104. Maximum Depth of Binary Tree

Given the root of a binary tree, return its maximum depth.

+

A binary tree’s maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.

+
fun maxDepth(root: TreeNode?): Int {
+    return maxDepthRecur(root, 0)
+}
+
+fun maxDepthRecur(root: TreeNode?, level: Int): Int {
+    if (root == null) {
+        return level
+    }
+    return Math.max(maxDepthRecur(root.left, level + 1),
+            maxDepthRecur(root.right, level + 1))
+}
+
+

105. Construct Binary Tree from Preorder and Inorder Traversal

Given two integer arrays preorder and inorder where preorder is the preorder traversal of a binary tree and inorder is the inorder traversal of the same tree, construct and return the binary tree.

+
fun buildTree(preorder: IntArray, inorder: IntArray): TreeNode? {
+    val inorderIndexMap = mutableMapOf<Int, Int>()
+    for ((index, value) in inorder.withIndex()) {
+        inorderIndexMap[value] = index
+    }
+    return buildTreeHelper(0, preorder.size - 1, 0, inorder.size - 1, preorder, inorderIndexMap)
+}
+
+fun buildTreeHelper(pL: Int, pR: Int, iL: Int, iR: Int, preorder: IntArray, inorderIndexMap: Map<Int, Int>): TreeNode? {
+    if (pL > pR || iL > iR) {
+        return null
+    }
+    val iIndex: Int? = inorderIndexMap.get(preorder[pL])
+    val root = TreeNode(preorder[pL])
+    iIndex!!
+    root.left = buildTreeHelper(pL + 1, pL + iIndex - iL, iL, iIndex - 1, preorder, inorderIndexMap)
+    root.right = buildTreeHelper(pR - (iR - iIndex) + 1, pR, iIndex + 1, iR, preorder, inorderIndexMap)
+    return root
+}
+
+

Note: 利用中序遍历确定左右子树的范围

+

106. Construct Binary Tree from Inorder and Postorder Traversal

Given two integer arrays inorder and postorder where inorder is the inorder traversal of a binary tree and postorder is the postorder traversal of the same tree, construct and return the binary tree.

+
fun buildTree(inorder: IntArray, postorder: IntArray): TreeNode? {
+    val inorderMap = mutableMapOf<Int, Int>()
+    for ((index, value) in inorder.withIndex()) {
+        inorderMap[value] = index
+    }
+    return buildTreeHelper(0, postorder.size - 1, 0, inorder.size - 1, postorder, inorderMap)
+}
+
+fun buildTreeHelper(pL: Int, pR: Int, iL: Int, iR: Int, postorder: IntArray, inorderMap: Map<Int, Int>): TreeNode? {
+    if (pL > pR || iL > iR) {
+        return null
+    }
+    val root = TreeNode(postorder[pR])
+    val index = inorderMap[root.`val`]
+    index!!
+    root.left = buildTreeHelper(pL, pL + (index - iL) - 1, iL, index - 1, postorder, inorderMap)
+    root.right = buildTreeHelper(pL + (index - iL), pR - 1, index + 1, iR, postorder, inorderMap)
+    return root
+}
+
+

107.Binary Tree Level Order Traversal II

Given the root of a binary tree, return the bottom-up level order traversal of its nodes’ values. (i.e., from left to right, level by level from leaf to root).

+
fun levelOrderBottom(root: TreeNode?): List<List<Int>> {
+  val ret = mutableListOf<List<Int>>()
+  if (root == null) {
+    return ret
+  }
+  val queue = LinkedList<TreeNode>()
+  queue.offer(root)
+  var currentLevelCnt = 1
+  var nextLevelCnt = 0
+  var tmpList = mutableListOf<Int>()
+  while (queue.isNotEmpty()) {
+    val node = queue.remove()
+    tmpList.add(node.`val`)
+    currentLevelCnt--
+    if (node.left != null) {
+      queue.offer(node.left)
+      nextLevelCnt++
+    }
+
+    if (node.right != null) {
+      queue.offer(node.right)
+      nextLevelCnt++
+    }
+
+    if (currentLevelCnt == 0) {
+      currentLevelCnt = nextLevelCnt
+      nextLevelCnt = 0
+      ret.add(tmpList)
+      tmpList = mutableListOf()
+    }
+
+  }
+  ret.reverse()
+  return ret
+}
+
+

108. Convert Sorted Array to Binary Search Tree

Given an integer array nums where the elements are sorted in ascending order, convert it to a height-balanced binary search tree.

+

A height-balanced binary tree is a binary tree in which the depth of the two subtrees of every node never differs by more than one.

+
fun sortedArrayToBST(nums: IntArray): TreeNode? {
+    return sortedArrayToBSTHelper(nums, 0, nums.size - 1)
+}
+
+fun sortedArrayToBSTHelper(nums: IntArray, start: Int, end: Int): TreeNode? {
+    if (start > end) {
+        return null
+    }
+    val mid = (start + end) / 2
+    val root = TreeNode(nums[mid])
+    root.left = sortedArrayToBSTHelper(nums, start, mid - 1)
+    root.right = sortedArrayToBSTHelper(nums, mid + 1, end)
+    return root
+}
+
+

109. Convert Sorted List to Binary Search Tree

Given the head of a singly linked list where elements are sorted in ascending order, convert it to a height balanced BST.

+

For this problem, a height-balanced binary tree is defined as a binary tree in which the depth of the two subtrees of every node never differ by more than 1.

+
fun sortedListToBST(head: ListNode?): TreeNode? {
+    val list = mutableListOf<Int>()
+    var tmp = head
+    while (tmp != null) {
+        list.add(tmp.`val`)
+        tmp = tmp.next
+    }
+    return sortedListToBSTHelper(list, 0, list.size - 1)
+}
+
+fun sortedListToBSTHelper(list: List<Int>, start: Int, end: Int): TreeNode? {
+    if (start > end) {
+        return null
+    }
+    val mid = (start + end) / 2
+    val root = TreeNode(list[mid])
+    root.left = sortedListToBSTHelper(list, start, mid - 1)
+    root.right = sortedListToBSTHelper(list, mid + 1, end)
+    return root
+}
+
+

110. Balanced Binary Tree

Given a binary tree, determine if it is height-balanced.

+

For this problem, a height-balanced binary tree is defined as:

+ +
fun isBalanced(root: TreeNode?): Boolean {
+    return isBalancedHelper(root, 0) >= 0
+}
+
+fun isBalancedHelper(root: TreeNode?, level: Int): Int {
+    if (root == null) {
+        return level
+    }
+    val leftLevel = isBalancedHelper(root.left, level + 1)
+    val rightLevel = isBalancedHelper(root.right, level + 1)
+    if (leftLevel == -1 || rightLevel == -1 || Math.abs(leftLevel - rightLevel) > 1) {
+        return -1
+    } else {
+        return Math.max(leftLevel, rightLevel)
+    }
+}
+
+

111. Minimum Depth of Binary Tree

Given a binary tree, find its minimum depth.

+

The minimum depth is the number of nodes along the shortest path from the root node down to the nearest leaf node.

+

Note: A leaf is a node with no children.

+
fun minDepth(root: TreeNode?): Int {
+    if (root == null) {
+        return 0
+    }
+    return minDepthHelper(root, 1)
+}
+
+fun minDepthHelper(root: TreeNode?, level: Int): Int {
+    if (root?.left == null && root?.right == null) {
+        return level
+    }
+    if (root.left == null) {
+        return minDepthHelper(root.right, level + 1)
+    } else if (root.right == null){
+        return minDepthHelper(root.left, level + 1)
+    } else  {
+        return Math.min(minDepthHelper(root.right, level + 1), minDepthHelper(root.left, level + 1))
+    }
+}
+
+

112. Path Sum

Given the root of a binary tree and an integer targetSum, return true if the tree has a root-to-leaf path such that adding up all the values along the path equals targetSum.

+

A leaf is a node with no children.

+
fun hasPathSum(root: TreeNode?, targetSum: Int): Boolean {
+    if (root == null) {
+        return false
+    }
+    return hasPathSumHelper(root, root.`val`, targetSum)
+}
+
+fun hasPathSumHelper(root: TreeNode, curSum: Int, targetSum: Int): Boolean {
+    if (root.left == null && root.right == null) {
+        if (curSum == targetSum) {
+            return true
+        }
+    }
+    var ret = false
+    root.left?.also {
+        ret = ret or hasPathSumHelper(it, curSum + it.`val`, targetSum)
+    }
+
+    root.right?.also {
+        ret = ret or hasPathSumHelper(it, curSum + it.`val`, targetSum)
+    }
+    return ret
+}
+
+

113. Path Sum II

Given the root of a binary tree and an integer targetSum, return all root-to-leaf paths where each path’s sum equals targetSum.

+

A leaf is a node with no children.

+
fun pathSum(root: TreeNode?, targetSum: Int): List<List<Int>> {
+    val ret = mutableListOf<List<Int>>()
+    if (root == null) {
+        return ret
+    }
+    val backtrace = mutableListOf<Int>()
+    backtrace.add(root.`val`)
+    pathSumHelper(root, targetSum, root.`val`, backtrace, ret)
+    return ret
+}
+
+fun pathSumHelper(root: TreeNode, targetSum: Int, curSum: Int,
+                    backtrace: MutableList<Int>, ret: MutableList<List<Int>>) {
+    if (root.left == null && root.right == null) {
+        if (targetSum == curSum) {
+            ret.add(backtrace.toList())
+            return
+        }
+    }
+    root.left?.also {
+        backtrace.add(it.`val`)
+        pathSumHelper(it, targetSum, curSum + it.`val`, backtrace, ret)
+        backtrace.removeAt(backtrace.lastIndex)
+    }
+
+    root.right?.also {
+        backtrace.add(it.`val`)
+        pathSumHelper(it, targetSum, curSum + it.`val`, backtrace, ret)
+        backtrace.removeAt(backtrace.lastIndex)
+    }
+}
+
+

114. Flatten Binary Tree to Linked List

Given the root of a binary tree, flatten the tree into a “linked list”:

+ +
fun flatten(root: TreeNode?): Unit {
+    flattenHelper(root)
+}
+
+fun flattenHelper(root: TreeNode?): TreeNode? {
+    if (root == null) {
+        return null
+    }
+    val R = root.right
+    root.right = flattenHelper(root.left)
+    root.left = null
+    var tmp: TreeNode = root
+    while (tmp.right != null) {
+        tmp = tmp.right!!
+    }
+    tmp.right = flattenHelper(R)
+    return root
+}
+
+

116. Populating Next Right Pointers in Each Node

You are given a perfect binary tree where all leaves are on the same level, and every parent has two children. The binary tree has the following definition:

+

struct Node {
int val;
Node left;
Node
right;
Node *next;
}

+

Populate each next pointer to point to its next right node. If there is no next right node, the next pointer should be set to NULL.

+

Initially, all next pointers are set to NULL.

+

Follow up:

+ +
fun connect(root: Node?): Node? {
+    if (root == null) {
+        return null
+    }
+    val queue = LinkedList<Node>()
+    queue.offer(root)
+    var curentLevelCnt = 1
+    var nextLevelCnt = 0
+    var lastNode: Node? = null
+    while (queue.isNotEmpty()) {
+        val node = queue.remove()
+        if (lastNode != null) {
+            lastNode.next = node
+        }
+        lastNode = node
+        curentLevelCnt--
+        if (node.left != null) {
+            queue.offer(node.left)
+            nextLevelCnt++
+        }
+
+        if (node.right != null) {
+            queue.offer(node.right)
+            nextLevelCnt++
+        }
+
+        if (curentLevelCnt == 0) {
+            lastNode = null
+            curentLevelCnt = nextLevelCnt
+            nextLevelCnt = 0
+        }
+    }
+    return root
+}
+
+

117. Populating Next Right Pointers in Each Node II

Same as 116

+

118. Pascal’s Triangle

Given an integer numRows, return the first numRows of Pascal’s triangle.

+
fun generate(numRows: Int): List<List<Int>> {
+    val ret = mutableListOf<List<Int>>()
+    if (numRows == 0) {
+        return ret
+    }
+    ret.add(listOf(1))
+    if (numRows == 1) {
+        return ret
+    }
+    ret.add(listOf(1,1))
+    for (i in 2 .. numRows - 1) {
+        val tmp = mutableListOf<Int>()
+        tmp.add(1)
+        for (k in 1 .. i - 1) {
+            tmp.add(ret[i - 1][k - 1] + ret[i - 1][k])
+        }
+        tmp.add(1)
+        ret.add(tmp)
+    }
+    return ret
+}
+
+

119. Pascal’s Triangle II

Given an integer rowIndex, return the rowIndexth (0-indexed) row of the Pascal’s triangle.

+
fun getRow(rowIndex: Int): List<Int> {
+    val dpArray = IntArray(rowIndex + 1)
+    if (rowIndex >= 0) {
+        dpArray[0] = 1
+    }
+
+    if (rowIndex >= 1) {
+        dpArray[0] = 1
+        dpArray[1] = 1
+    }
+
+    if (rowIndex >= 2) {
+        for (i in 2 .. rowIndex) {
+            for (k in i - 1 downTo 1) {
+                dpArray[k] = dpArray[k] + dpArray[k - 1]
+            }
+            dpArray[i] = 1
+        }
+    }
+
+    return dpArray.toList()
+}
+
+

120. Triangle

Given a triangle array, return the minimum path sum from top to bottom.

+

For each step, you may move to an adjacent number of the row below. More formally, if you are on index i on the current row, you may move to either index i or index i + 1 on the next row.

+
fun minimumTotal(triangle: List<List<Int>>): Int {
+    val dArray = IntArray(triangle[triangle.lastIndex].size)
+    dArray[0] = triangle[0][0]
+
+    for (i in 1 .. triangle.lastIndex) {
+        val rowArray = triangle[i]
+        dArray[rowArray.lastIndex] = dArray[rowArray.lastIndex - 1] + rowArray[rowArray.lastIndex]
+        for (k in rowArray.lastIndex - 1 downTo 1) {
+            dArray[k] = Math.min(rowArray[k] + dArray[k - 1], rowArray[k] + dArray[k])
+        }
+        dArray[0] = dArray[0] + rowArray[0]
+    }
+
+    var ret = Int.MAX_VALUE
+    for (v in dArray) {
+        ret = Math.min(v, ret)
+    }
+    return ret
+}
+
+

Note: Dynamic Programing

+

121. Best Time to Buy and Sell Stock

You are given an array prices where prices[i] is the price of a given stock on the ith day.

+

You want to maximize your profit by choosing a single day to buy one stock and choosing a different day in the future to sell that stock.

+

Return the maximum profit you can achieve from this transaction. If you cannot achieve any profit, return 0.

+
fun maxProfit(prices: IntArray): Int {
+    val dp = IntArray(prices.size)
+    dp[0] = 0
+    var minPrice = prices[0]
+    for (i in 1 .. prices.lastIndex) {
+        if (prices[i] < minPrice) {
+            minPrice = prices[i]
+            dp[i] = dp[i - 1]
+        } else {
+            dp[i] = Math.max(dp[i - 1], prices[i] - minPrice)
+        }
+    }
+    return dp[dp.lastIndex]
+}
+
+

Note: 动态规划方程: dp[i] = max(dp[i - 1], arr[i] - minPrice)

+

122. Best Time to Buy and Sell Stock II

[Greedy]

+

You are given an array prices where prices[i] is the price of a given stock on the ith day.

+

Find the maximum profit you can achieve. You may complete as many transactions as you like (i.e., buy one and sell one share of the stock multiple times).

+

Note: You may not engage in multiple transactions simultaneously (i.e., you must sell the stock before you buy again).

+
fun maxProfit(prices: IntArray): Int {
+    var ans = 0
+    for (i in 1 .. prices.size - 1) {
+        ans += Math.max(0, prices[i] - prices[i - 1])
+    }
+    return ans
+}
+
+ + + + + + \ No newline at end of file diff --git a/2021/04/04/modified-utf8/index.html b/2021/04/04/modified-utf8/index.html index e69de29..4088b74 100644 --- a/2021/04/04/modified-utf8/index.html +++ b/2021/04/04/modified-utf8/index.html @@ -0,0 +1,138 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Java Modified UTF-8 + + + + +

Java Modified UTF-8

Unicode

Unicode,官方中文名称为统一码,是计算机科学领域字符集的业界标准。它整理、编码了世界上大部分的文字系统,使得电脑可以用更为简单的方式来呈现和处理文字。

+

简单来说就是某一个文字或者符号,对应(映射)着一个整数值,范围为0x0000 ~ 0x1FFFF

+

Unicode划分将字符集划分为17组,其中第一组为基本字符集(也叫基本多文种平面Basic Multilingual Plane)范围为0x0000 ~ 0xFFFF,包含了大部分国家常用的字符串和符号,其中0xD800 ~ 0xDFFF不映射字符,所以基本平面能够表示的字符个数为 (65536 - 2048)

+

其余的字符集为增补字符集(也叫多文种补充平面Supplementary Multilingual Plane),范围为0x10000 ~ 0x1FFFFF

+

所以Unicode的字符集个数为 2^17 - 2048 = 1112064

+

UTF-16

UTF-16是对Unicode的字符集的编码,Java的Char类型占用两个字节,用的就是UTF-16进行编码。对于基本字符集使用一个char就能够表示,比如:

+

‘A’ 对于的二进制为: 0x00 0x41

+

对于增补字符集,一个char表示不了,需要用两个char,但是对于每一个char的解析,我们需要知道它是落在了基本字符集里还是增补字符集里面,所以就需要一个类似转义的操作,由于基本字符集里的0xD800 ~ 0xDFFF是不映射字符的,可以用来转义。计算过程如下:

+

扩展平面减去基本平面数量 0x10000 ~ 0x10FFFF - 0x10000 = 0x00000 ~ 0xFFFFF, 共20位,分别对前10位和后10位进行编码.

+

0xD800 + 前10位 前两个字节,又叫高代理对(High Surrogate), 范围为0xD800 ~ 0xD8FF(0xD800 + 0x3FF)

+

0xDC00 + 后10位 后两个子集,又叫低代理对(Low Surrogate),范围为0xDC00 ~ 0xDFFF(0xDC00 + 0x3FF)

+

例如’𠎠’字符,对应的Unicode码为 0x203A0,为增补字符集里面的字符,所以需要使用代理对进行编码:

+

首先减去基本字符集的范围:
0x203A0 - 0x10000 = 0x103A0, 对应的二进制位0001 0000 0011 1010 0000

+

对前十位进行编码:
0xD800 + 0100 0000 = 0xD800 + 0x40 = 0xD840

+

对后十位进行编码
0xDC00 + 11 1010 0000 = 0xDC00 + 0x3A0 = 0xDFA0

+

所以编码后两个字符内容为:\uD840\uDFA0

+

Regular UTF-8

UTF-8 同样是对Unicode字符集的编码,不过他使用变长的规则进行编码,对于大部分基本字符集里面的汉字字符,需要3个字节进行编码,但是对于英文字符ASCII,只需要一个字节。

+

编码规则如下:

+

对于与范围为0x00 ~ 0x7F的Uicode码: 0XXXXXXX

+

对于超过0x7F的字符,使用变长的规则,低位均为10开头,从第二位位后面到0之间1的个数就是后面字节的个数

+

0x7F ~ 0x7FF 110XXXXX 10XXXXXX

+

0x800 ~ 0xFFFF 1110XXXX 10XXXXXX 10XXXXXX

+

0x10000 ~ 0x10FFFF 11110XXX 10XXXXXX 10XXXXXX 10XXXXXX

+

例如字符’A’ 对于的编码为 0x41

+

字符’𠎠’对于的编码:

+

0x203A0落在区间0x10000 ~ 0x10FFFF,对于的二进制为0010 0000 0011 1010 0000,将位填入上面的占位符(X)得到:

+

1111 0000 1010 0000 1000 1110 1010 0000 即 0xF0 0xA0 0x8E 0xA0

+

Modified UTF-8

Modified UTF-8对UTF-8做了一些修改,起源于Java,java.io.DataInput里有对其描述(https://developer.android.com/reference/java/io/DataInput),区别主要有:

+ +

继续使用增补字符集的字符’𠎠’示例:

+

从上面可以知道UTF-16的高代理对于低代理对字节为: \uD840 \uDFA0

+

分别对0xD840与0xDFA0进行UTF-8编码

+

0xD840 对于二进制 1101 1000 0100 0000

+

0xDFA0 对于二进制 1101 1111 1010 0000

+

对高代理对进行编码 得到 11101101 10100001 10000000 即 0xED 0xA1 0x80

+

对低代理对进行编码得到 11101101 10111110 10100000 即 0xED 0xBE 0xA0

+

所以最终得到的编码内容为 0xED 0xA1 0xBD 0xED 0xB8 0x88

+

Modified UTF-8主要用在了两个地方:

+ +
GetStringUTFChars
+
+const char * GetStringUTFChars(JNIEnv *env, jstring string,
+jboolean *isCopy);
+
+Returns a pointer to an array of bytes representing the string in modified UTF-8 encoding
+

但是对于增补字符集,在Android R上测试了这个函数,’𠎠’字符得到的是用Unicode进行UTF8编码的,并不是使用代理对处理的Modified UTF-8:

+

11100000 10100000 10001110 10100000 即 0xF0 0xA0 0x8E 0xA0

+

查了下,很早的版本就有人反馈这个现象 https://github.com/android/ndk/issues/283

+

但是文档或者实现都没有改,所以涉及到JNI使用UTF-8处理增补字符集的时候,需要留意下有没有问题。

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+ * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package android.util; + +import java.util.LinkedHashMap; +import java.util.Map; + +/** + * A cache that holds strong references to a limited number of values. Each time + * a value is accessed, it is moved to the head of a queue. When a value is + * added to a full cache, the value at the end of that queue is evicted and may + * become eligible for garbage collection. + * + *

If your cached values hold resources that need to be explicitly released, + * override {@link #entryRemoved}. + * + *

If a cache miss should be computed on demand for the corresponding keys, + * override {@link #create}. This simplifies the calling code, allowing it to + * assume a value will always be returned, even when there's a cache miss. + * + *

By default, the cache size is measured in the number of entries. Override + * {@link #sizeOf} to size the cache in different units. For example, this cache + * is limited to 4MiB of bitmaps: + *

   {@code
+ *   int cacheSize = 4 * 1024 * 1024; // 4MiB
+ *   LruCache bitmapCache = new LruCache(cacheSize) {
+ *       protected int sizeOf(String key, Bitmap value) {
+ *           return value.getByteCount();
+ *       }
+ *   }}
+ * + *

This class is thread-safe. Perform multiple cache operations atomically by + * synchronizing on the cache:

   {@code
+ *   synchronized (cache) {
+ *     if (cache.get(key) == null) {
+ *         cache.put(key, value);
+ *     }
+ *   }}
+ * + *

This class does not allow null to be used as a key or value. A return + * value of null from {@link #get}, {@link #put} or {@link #remove} is + * unambiguous: the key was not in the cache. + * + *

This class appeared in Android 3.1 (Honeycomb MR1); it's available as part + * of Android's + * Support Package for earlier releases. + */ +public class LruCache { + private final LinkedHashMap map; + + /** Size of this cache in units. Not necessarily the number of elements. */ + private int size; + private int maxSize; + + private int putCount; + private int createCount; + private int evictionCount; + private int hitCount; + private int missCount; + + /** + * @param maxSize for caches that do not override {@link #sizeOf}, this is + * the maximum number of entries in the cache. For all other caches, + * this is the maximum sum of the sizes of the entries in this cache. + */ + public LruCache(int maxSize) { + if (maxSize <= 0) { + throw new IllegalArgumentException("maxSize <= 0"); + } + this.maxSize = maxSize; + this.map = new LinkedHashMap(0, 0.75f, true); + } + + /** + * Sets the size of the cache. + * + * @param maxSize The new maximum size. + */ + public void resize(int maxSize) { + if (maxSize <= 0) { + throw new IllegalArgumentException("maxSize <= 0"); + } + + synchronized (this) { + this.maxSize = maxSize; + } + trimToSize(maxSize); + } + + /** + * Returns the value for {@code key} if it exists in the cache or can be + * created by {@code #create}. If a value was returned, it is moved to the + * head of the queue. This returns null if a value is not cached and cannot + * be created. + */ + public final V get(K key) { + if (key == null) { + throw new NullPointerException("key == null"); + } + + V mapValue; + synchronized (this) { + mapValue = map.get(key); + if (mapValue != null) { + hitCount++; + return mapValue; + } + missCount++; + } + + /* + * Attempt to create a value. This may take a long time, and the map + * may be different when create() returns. If a conflicting value was + * added to the map while create() was working, we leave that value in + * the map and release the created value. + */ + + V createdValue = create(key); + if (createdValue == null) { + return null; + } + + synchronized (this) { + createCount++; + mapValue = map.put(key, createdValue); + + if (mapValue != null) { + // There was a conflict so undo that last put + map.put(key, mapValue); + } else { + size += safeSizeOf(key, createdValue); + } + } + + if (mapValue != null) { + entryRemoved(false, key, createdValue, mapValue); + return mapValue; + } else { + trimToSize(maxSize); + return createdValue; + } + } + + /** + * Caches {@code value} for {@code key}. The value is moved to the head of + * the queue. + * + * @return the previous value mapped by {@code key}. + */ + public final V put(K key, V value) { + if (key == null || value == null) { + throw new NullPointerException("key == null || value == null"); + } + + V previous; + synchronized (this) { + putCount++; + size += safeSizeOf(key, value); + previous = map.put(key, value); + if (previous != null) { + size -= safeSizeOf(key, previous); + } + } + + if (previous != null) { + entryRemoved(false, key, previous, value); + } + + trimToSize(maxSize); + return previous; + } + + /** + * Remove the eldest entries until the total of remaining entries is at or + * below the requested size. + * + * @param maxSize the maximum size of the cache before returning. May be -1 + * to evict even 0-sized elements. + */ + public void trimToSize(int maxSize) { + while (true) { + K key; + V value; + synchronized (this) { + if (size < 0 || (map.isEmpty() && size != 0)) { + throw new IllegalStateException(getClass().getName() + + ".sizeOf() is reporting inconsistent results!"); + } + + if (size <= maxSize) { + break; + } + + Map.Entry toEvict = map.eldest(); + if (toEvict == null) { + break; + } + + key = toEvict.getKey(); + value = toEvict.getValue(); + map.remove(key); + size -= safeSizeOf(key, value); + evictionCount++; + } + + entryRemoved(true, key, value, null); + } + } + + /** + * Removes the entry for {@code key} if it exists. + * + * @return the previous value mapped by {@code key}. + */ + public final V remove(K key) { + if (key == null) { + throw new NullPointerException("key == null"); + } + + V previous; + synchronized (this) { + previous = map.remove(key); + if (previous != null) { + size -= safeSizeOf(key, previous); + } + } + + if (previous != null) { + entryRemoved(false, key, previous, null); + } + + return previous; + } + + /** + * Called for entries that have been evicted or removed. This method is + * invoked when a value is evicted to make space, removed by a call to + * {@link #remove}, or replaced by a call to {@link #put}. The default + * implementation does nothing. + * + *

The method is called without synchronization: other threads may + * access the cache while this method is executing. + * + * @param evicted true if the entry is being removed to make space, false + * if the removal was caused by a {@link #put} or {@link #remove}. + * @param newValue the new value for {@code key}, if it exists. If non-null, + * this removal was caused by a {@link #put}. Otherwise it was caused by + * an eviction or a {@link #remove}. + */ + protected void entryRemoved(boolean evicted, K key, V oldValue, V newValue) {} + + /** + * Called after a cache miss to compute a value for the corresponding key. + * Returns the computed value or null if no value can be computed. The + * default implementation returns null. + * + *

The method is called without synchronization: other threads may + * access the cache while this method is executing. + * + *

If a value for {@code key} exists in the cache when this method + * returns, the created value will be released with {@link #entryRemoved} + * and discarded. This can occur when multiple threads request the same key + * at the same time (causing multiple values to be created), or when one + * thread calls {@link #put} while another is creating a value for the same + * key. + */ + protected V create(K key) { + return null; + } + + private int safeSizeOf(K key, V value) { + int result = sizeOf(key, value); + if (result < 0) { + throw new IllegalStateException("Negative size: " + key + "=" + value); + } + return result; + } + + /** + * Returns the size of the entry for {@code key} and {@code value} in + * user-defined units. The default implementation returns 1 so that size + * is the number of entries and max size is the maximum number of entries. + * + *

An entry's size must not change while it is in the cache. + */ + protected int sizeOf(K key, V value) { + return 1; + } + + /** + * Clear the cache, calling {@link #entryRemoved} on each removed entry. + */ + public final void evictAll() { + trimToSize(-1); // -1 will evict 0-sized elements + } + + /** + * For caches that do not override {@link #sizeOf}, this returns the number + * of entries in the cache. For all other caches, this returns the sum of + * the sizes of the entries in this cache. + */ + public synchronized final int size() { + return size; + } + + /** + * For caches that do not override {@link #sizeOf}, this returns the maximum + * number of entries in the cache. For all other caches, this returns the + * maximum sum of the sizes of the entries in this cache. + */ + public synchronized final int maxSize() { + return maxSize; + } + + /** + * Returns the number of times {@link #get} returned a value that was + * already present in the cache. + */ + public synchronized final int hitCount() { + return hitCount; + } + + /** + * Returns the number of times {@link #get} returned null or required a new + * value to be created. + */ + public synchronized final int missCount() { + return missCount; + } + + /** + * Returns the number of times {@link #create(Object)} returned a value. + */ + public synchronized final int createCount() { + return createCount; + } + + /** + * Returns the number of times {@link #put} was called. + */ + public synchronized final int putCount() { + return putCount; + } + + /** + * Returns the number of values that have been evicted. + */ + public synchronized final int evictionCount() { + return evictionCount; + } + + /** + * Returns a copy of the current contents of the cache, ordered from least + * recently accessed to most recently accessed. + */ + public synchronized final Map snapshot() { + return new LinkedHashMap(map); + } + + @Override public synchronized final String toString() { + int accesses = hitCount + missCount; + int hitPercent = accesses != 0 ? (100 * hitCount / accesses) : 0; + return String.format("LruCache[maxSize=%d,hits=%d,misses=%d,hitRate=%d%%]", + maxSize, hitCount, missCount, hitPercent); + } +} diff --git a/assets/PRE_andevcon_mastering-the-android-touch-system.pdf b/assets/PRE_andevcon_mastering-the-android-touch-system.pdf index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..4a472a4bd1cf654d4991bd1b4b605619dee1f5d0 100644 GIT binary patch literal 393153 zcmeFY=ObKy^FEG{C{d!P2$3M_ir!+C2+`Z>y?3J5UF9tjq6g7MiLzL|vqbbD$`ZZz z7TvPt=Y8LI%J6PQ~*+THQyrbCIo$SGwl2~!M0|-uo+7?&pOOibtSoscWG=gr=VX4TL zSCKh~?DrJ#Ud_`?hmhzB6PG1!08}|E zOB?+|@|CmE>?pkH{^j>@Fh)1Lj51nCP%-H-i;k%LE7r%iyOZSKjw+E7G?TFw&E+$z z&RE@2xH0#^>DB!mHkfA|ueZX$y>BP|OcFPrO-B!=6IAv1k=WLZjpD8q3v`FwepC^B zmq9;ROR!A6WW?&5LX=UF4i&s;EHIli@o<#l12=*4z*pAI`OV&#_U{zR(S$c=omj*R zthDqJq^;ELU1VkI2%-z=*OO9{f?_W`F)QvhrcM?5q?>IuLvdOYF!5xPcljSSSKfF| z^Jf@vK5}k-l6kI7(iL;g<#d&oko-R z`urJ_@PC#dDS2&X*Q@%^Bih=0JkOY({cmyF+Ry&|>))+vUYj2iKu^uW!P@e_kG^t# z#w7Be!LIN8S?|A>ey#U^HZA&}{|Ee6O238xXn9$9{zq>ASw9m%*WT*d{-5#k2`~W^ ztnF>>Jeh=rM6S1UEiiXC*MEV4*wfwXTEu^C>)HRr`tL*6TL7qAUklsK)63k6381B7 z?%~Mv?7zDN$k=;&T;G*-b#`-gxqg=Tdg%W@l-bRUcAT-HtH-X=nao#eQc^yUx&GPO z{PFZYX8`^E`}eKMhkwvBkn(+De)Q?l4+RCn^p77G7Z=SexOUHdT&7eoa4kG~CZyUGmaf zcy9KU&bfoywk=q#Qw37pPPfPz#%(?p8kUuo5Pu_9zdhRJP|q)4A>~6ABmqrNRQ=M}(7MzFo0&bsXf8Nr;n+^NyTMHL6*Z1&ZL0&sbcb=)G*M zHrWGRM$<_WmXL>fj*z6F8q9R0YSnKuwkg70e8^8neX&?l(=3nFcDLKsd*yFteGJzk z3RcIMjDO~>B_!uB7Lr^4vtN*1KWr(N|2piC2{w4)5o2Am_HK^&vuB;JtZBAr+}3T` z{KQz6wCn{;(=vNm*0@%M?}8rm>qvcUR*4QP^+%1)=zi4ih!q@sf(F9ct8;UMmkTuc zOu1k}2F?5tZ*IK#Jw9VrutaI(PI2aii66TH3Ao|zS2dI`LX8e>H@D9UHL(T*{HFJH z4zZ96D!#RYMZSPr?wEtGYW4jj;s_O>Q3|5CsG2Fh5?S;V%CCP&CiESvB}pwJ@#_We zzYX>~y%pANU!Z4_vVe%yi5zL7IhaPxwChC6-(b%;32cg75R;>DJQ z`B!ZxiE5||bB%axWKYaw)VtE)2ovi^agQiy>pB638@GI#s#}l(6n2>@KDon+Bbw|y zP9RBk`;Yp4#i4Yx5?y#K$7vDMF_J*W{4uwh2RD8@#0DRHBLQ!S`g1bHcvK|^CeQaa z0k#);kgNc@n?%;ql3Bh#A@t@|d*|10V@`SlnN3pX`z`Z_WK$KI@!7{1x1tPNv`2WF zbyzoan;cxT%BIMxU-2!#}T@>cu^q zC@^2)J*|-UDvtc0db8JZq1YAB`WbXs+qM5Dt?;k+#Do(v!^W#^7r6(k5A^8n=4dY} z;gUr|%n3vcb27l`joxPHcuQSLlcpOB82i)<-3Odlj9ro4*BVn0{JeihZcu>b_@2Qi zmKZ~%IqA+bAuyI(g2Pa!?L-{qzATS(>sNTy9>fwSO4mkXz3Zt)=77~W^+H-kWI+m% z5v)@A+Jgm5Mv^YB&EI3BO?ow=Gxm2rRhs%Jv_}&Qi|5~@nvTWf7y_p>V7dSNOf>3^r2jf{@Roiy(o|j+kZonV?niB_qK0Ejw*A<}Bdz_4m{;}t! 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最近在做推送,有一个接口可以给别的应用代发通知,可以不用拉起进程,这样做应该是比较省电,不用唤醒进程。

NotificationManager.notifyAsPackage()

但是有一个问题,创建一个振动和声音开启的NotificationChannel,在这个Channel上发送通知振动会失效,并且系统会报错误日志。单独振动和单独声音的Channel是正常的,看了下NotificationManagerService的代码,发现是在18年的时候,这个特性刚加不久,就被一个三星的哥们改出问题了,之后也没有去修复,很是烦恼…. 正常的应用使用通知是不会有问题的,就是代发通知会出现。

这个接口日常用的不多,基本没有人使用,在AOSP里面搜索都没有人使用,决定修改源码,再给Google的committer发个邮件看看,希望能够有回应吧。下面是邮件内容:


I found that the Android notification delegate has a bug. The vibration does not take effect when the vibration and sound exist at the same time:

NotificationManager.notifyAsPackage()

System will log a exception :

2020-11-27 16:22:27.341 1307-10892/system_process E/AppOps: checkOperation  java.lang.SecurityException: Specified package com.xxxx.xxxx.push under uid 10225 but it is really 1000    at com.android.server.appop.AppOpsService.verifyAndGetBypass(AppOpsService.java:4007)    at com.android.server.appop.AppOpsService.checkOperationUnchecked(AppOpsService.java:2979)    at com.android.server.appop.AppOpsService.checkOperationImpl(AppOpsService.java:2962)    at com.android.server.appop.AppOpsService.checkOperationInternal(AppOpsService.java:2943)    at com.android.server.appop.AppOpsService.checkOperation(AppOpsService.java:2932)    at com.android.server.appop.AppOpsService.checkAudioOperationImpl(AppOpsService.java:3026)    at com.android.server.appop.AppOpsService.checkAudioOperation(AppOpsService.java:3014)    at android.app.AppOpsManager.checkAudioOpNoThrow(AppOpsManager.java:7788)    at com.android.server.VibratorService.getAppOpMode(VibratorService.java:1094)    at com.android.server.VibratorService.shouldVibrate(VibratorService.java:1126)    at com.android.server.VibratorService.startVibrationLocked(VibratorService.java:919)    at com.android.server.VibratorService.vibrate(VibratorService.java:814)    at android.os.SystemVibrator.vibrate(SystemVibrator.java:235)    at com.android.server.notification.NotificationManagerService.lambda$playVibration$5$NotificationManagerService(NotificationManagerService.java:7143)    at com.android.server.notification.-$$Lambda$NotificationManagerService$BDavS_Sg4m_dKO3ZgtuCsFeqqms.run(Unknown Source:6)    at java.lang.Thread.run(Thread.java:923)

This is the first commit, add notification delegate post feature:

feature commit

Then this submitted commit:

bug commit

change

  mVibrator.vibrate(record.sbn.getUid(), record.sbn.**getPackageName**(),    effect, "Notification (delayed)", record.getAudioAttributes());

to

  mVibrator.vibrate(record.sbn.getUid(), record.sbn.**getOpPkg**(),   effect, "Notification (delayed)", record.getAudioAttributes());

Cause AppOpsManager check that the package does not match the uid

Please check the bug, thanks!


提了Patch不给我合,算了,遇到这个问题的小伙伴自己修改下….

https://android-review.googlesource.com/c/platform/frameworks/base/+/1514786

]]> + + + + + + <h3 id="又发现了一个原生Android-Bug"><a href="#又发现了一个原生Android-Bug" class="headerlink" title="又发现了一个原生Android Bug"></a>又发现了一个原生Android Bug</h3><p>最近 + + + + + + + + + (转)矛盾论 + + http://wujingchao.github.io/2020/10/05/contridiction/ + 2020-10-05T03:49:50.000Z + 2020-10-05T03:49:55.000Z + + 矛盾论
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    1.Two Sum

    [HashTable | Array ]

    Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target.

    You may assume that each input would have exactly one solution, and you may not use the same element twice.

    You can return the answer in any order.

    fun twoSum(nums: IntArray, target: Int): IntArray {    val map = mutableMapOf<Int, Int>()    for ((index, i) in nums.withIndex()) {        val complement = target - i        if (map[complement] != null) {            return intArrayOf(index, map[complement]!!)        }        map[i] = index    }    return intArrayOf()}

    NOTE:反向思维,通过和来找另一个加数 ,为了不用遍历且更快地找到,将元素的值和位置保存在map里面,空间换时间

    2. Add Two Numbers

    [Linked List | Math]

    You are given two non-empty linked lists representing two non-negative integers. The digits are stored in reverse order, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list.

    You may assume the two numbers do not contain any leading zero, except the number 0 itself.

    fun addTwoNumbers(l1: ListNode?, l2: ListNode?): ListNode? {    val head = ListNode()    var headCur = head    var l1Cur = l1    var l2Cur = l2    while (true) {        if (l1Cur != null) {            headCur.`val` += l1Cur.`val`            l1Cur = l1Cur.next        }        if (l2Cur != null) {            headCur.`val` += l2Cur.`val`            l2Cur = l2Cur.next        }        if (headCur.`val` > 9) {            headCur.`val` %= 10            headCur.next = ListNode(1)        }        if (l1Cur == null && l2Cur == null) {            break        }        if (headCur.next == null) {            headCur.next = ListNode()        }        headCur = headCur.next!!    }    return head}

    NOTE: 同时遍历两个列表,注意进位操作

    3. Longest Substring Without Repeating Characters

    [Hash Table | Two Pointers | String | Sliding Window]

    Given a string s, find the length of the longest substring without repeating characters.

    fun lengthOfLongestSubstring(s: String): Int {    var result = 0    val cPosition = mutableMapOf<Char, Int>()    var i = 0    var j = 0    while (j < s.length) {        val pos = cPosition[s[j]]        if (pos != null && pos >= i) {            i++        } else {            result = Math.max(result, j - i + 1)            cPosition[s[j]] = j            j++        }    }    return result}

    NOTE: 双指针,一个不断往前移动,判断是否有重复的字符,用Hash Table加速查询,不满足条件移动后面指针

    4. Median of Two Sorted Arrays

    [Array | Binary Search | Divide Conquuer ]

    Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays.

    Follow up: The overall run time complexity should be O(log (m+n)).

    fun findMedianSortedArrays(nums1: IntArray, nums2: IntArray): Double {    val totalLen = nums1.size + nums2.size    val center:Int    val even = totalLen % 2 == 0    if (even) {        center = (totalLen + 1) / 2    } else {        center = totalLen / 2    }    var index1 = 0    var index2 = 0    var result = 0.0    var last = 0    for (i in 0 .. (totalLen - 1)) {        var cur = 0        if (index1 < nums1.size && index2 < nums2.size) {            if (nums1[index1] < nums2[index2]) {                cur = nums1[index1]                index1++            } else{                cur = nums2[index2]                index2++            }        } else if (index1 < nums1.size) {            cur = nums1[index1]            index1++        } else if (index2 < nums2.size){            cur = nums2[index2]            index2++        }        if (i == center) {            if (even) {                result = (last + cur) / 2.0            } else {                result = cur.toDouble()            }            break        }        last = cur;    }    return result}

    NOTE: 归并排序的方式对两个数组进行遍历,记录上一个值与当前值,到达中间的位置直接求出结果

    5. Longest Palindromic Substring

    [String | Dynamic Programing ]

    Given a string s, return the longest palindromic substring in s.

    fun longestPalindrome(s: String): String {    if (s.length < 2) {        return s    }    var max = 1    var start = 0;    val dp = Array(s.length) { BooleanArray(s.length) }    for (j in 1 until s.length) {        for (i in 0 until j) {            if (s[i] == s[j]) {                dp[i][j] = j - i + 1 <= 3 ||  dp[i + 1][j - 1]            } else {                dp[i][j] = false            }            if (dp[i][j] && j - i + 1 > max) {                max = j - i + 1                start = i            }        }    }    return s.substring(start, start + max)}

    NOTE: 从前往后遍历,用dp[][]记录计算过的回文串区间,避免重复计算

    6. ZigZag Conversion

    [String]

    The string “PAYPALISHIRING” is written in a zigzag pattern on a given number of rows like this: (you may want to display this pattern in a fixed font for better legibility)

    P A H N
    A P L S I I G
    Y I R

    And then read line by line: “PAHNAPLSIIGYIR”

    Write the code that will take a string and make this conversion given a number of rows:

    string convert(string s, int numRows);

    fun convert(s: String, numRows: Int): String {    if (numRows == 1) return s    val sbuilderArr = Array(numRows) { StringBuilder() }    var switchIndex = 0    var verticalIndex = 0    s.forEachIndexed { index, c ->                      if (switchIndex != 0) {                          sbuilderArr[switchIndex--].append(c)                      } else {                          sbuilderArr[verticalIndex++].append(c)                          if (verticalIndex == numRows) {                              switchIndex = numRows - 2                              verticalIndex = 0                          }                      }                     }    val result = StringBuilder()    sbuilderArr.forEach {        result.append(it)    }    return result.toString()}

    NOTE: 每一行用一个StringBuilder保存,然后顺序遍历,根据行数切换保存的位置,然后合并结果

    7. Reverse Integer

    [Math]

    Given a signed 32-bit integer x, return x with its digits reversed. If reversing x causes the value to go outside the signed 32-bit integer range [-231, 231 - 1], then return 0.

    Assume the environment does not allow you to store 64-bit integers (signed or unsigned).

    fun reverse(x: Int): Int {    var ret = 0    var y = x    var pop = 0    while (y != 0) {        pop = y % 10        if (ret > 0 && Integer.MAX_VALUE - ret * 10 < pop) {            return 0        } else if (ret < 0 && (Integer.MIN_VALUE - ret * 10) > pop ) {            return 0        }        ret = ret * 10 + pop        y /= 10    }    return ret}

    NOTE: 求余数得到各位,除以10消除个位,计算前先判断是否溢出,溢出的判断方法为先列不等式,然后变换不等式消除不等式计算两端移除的可能

    8. String to Integer (atoi)

    [Math | String]

    Implement the myAtoi(string s) function, which converts a string to a 32-bit signed integer (similar to C/C++’s atoi function).

    The algorithm for myAtoi(string s) is as follows:

    1. Read in and ignore any leading whitespace.
    2. Check if the next character (if not already at the end of the string) is '-' or '+'. Read this character in if it is either. This determines if the final result is negative or positive respectively. Assume the result is positive if neither is present.
    3. Read in next the characters until the next non-digit charcter or the end of the input is reached. The rest of the string is ignored.
    4. Convert these digits into an integer (i.e. "123" -> 123, "0032" -> 32). If no digits were read, then the integer is 0. Change the sign as necessary (from step 2).
    5. If the integer is out of the 32-bit signed integer range [-2^31, 2^31 - 1], then clamp the integer so that it remains in the range. Specifically, integers less than -231 should be clamped to -231, and integers greater than 2^31 - 1 should be clamped to 2^31 - 1.
    6. Return the integer as the final result.
    fun myAtoi(s: String): Int {    var ret = 0    var neg = false    var invalid = false    for (c in s) {        if (c == '-' || c == '+') {            if (invalid) {                break            }            if (c == '-') {                neg = true            } else if (c == '+') {                neg = false            }            invalid = true        } else if ((c == ' ')) {            if (invalid) {                break            }            continue        } else if (c > '9' || c < '0') {            break        } else {            val bit = c.toInt() - '0'.toInt()            if (!neg && ret > (Integer.MAX_VALUE - bit) / 10) {                ret = Integer.MAX_VALUE                break            } else if (neg && -ret < (Integer.MIN_VALUE + bit) / 10) {                ret = Integer.MIN_VALUE                break            }            ret = ret * 10 + bit            invalid = true        }    }    return if (neg) -ret else ret}

    NOTE: 用 invalid来判断是否还可以出入其他的字符,当开始输入数字或者已经输入符号就再能在输入其他符号

    9. Palindrome Number

    An integer is a palindrome when it reads the same backward as forward. For example, 121 is palindrome while 123 is not.

    [Math]

    fun isPalindrome(x: Int): Boolean {    if (x < 0 || (x % 10 == 0 && x != 0)) {        return false    }    var x = x    var ret = 0    while (x > ret) {        val pop = x % 10        ret = ret * 10 + pop        x /= 10    }    return x == ret || x == ret / 10}

    NOTE: 隐含条件 : 计算反转数字的时候只用计算一半即可

    10. Regular Expression Matching

    [String]

    Given an input string (s) and a pattern (p), implement regular expression matching with support for ‘.’ and ‘*’ where:

    • ‘.’ Matches any single character.​​​​
    • ‘*’ Matches zero or more of the preceding element.

    The matching should cover the entire input string (not partial).

    fun isMatch(s: String, p: String): Boolean {  if (p.isEmpty()) {    return s.isEmpty()  }  val firstCharMatch = s.isNotEmpty() && (s[0] == p[0] || p[0] == '.')  val firstStarMatch = p.length > 1 && p[1] == '*'  if (firstCharMatch && firstStarMatch) {    return isMatch(s.substring(1), p) || isMatch(s, p.substring(2))  } else if (firstStarMatch) {    return isMatch(s, p.substring(2))  } else if (firstCharMatch) {    return isMatch(s.substring(1), p.substring(1))  }else {    return false  }}//DP:fun isMatch(s: String, p: String): Boolean {  val pLen = p.length  val sLen = s.length  val dp = Array(pLen + 1){BooleanArray(sLen + 1)}  dp[0][0] = true  for (i in 1 .. pLen - 1 step 2) {    if (p[i] == '*') {      dp[i][0] = true      dp[i + 1][0] = true    } else {      break    }  }  for (i in 0 .. pLen - 1) {    for (j in 0 .. sLen - 1) {      if (p[i] == '*') {        dp[i + 1][j + 1] = dp[i][j + 1]      } else if (p[i] == '.' || p[i] == s[j]) {        if (i + 1 < pLen && p[i + 1] == '*') {          dp[i + 1][j + 1] = dp[i][j + 1] || dp[i + 1][j]        } else {          dp[i + 1][j + 1] = dp[i][j]        }      } else {        if (i + 1 < pLen && p[i + 1] == '*') {          dp[i + 1][j + 1] = dp[i][j + 1]        }      }    }  }  return dp[pLen][sLen]}

    NOTE: 递归逐字符对比,根据模式字符串与被匹配字符的前两个字符的匹配结果不断地向前移动字符串,如果模式字符串为空了,那么被匹配的字符串也要为空才能正确地匹配。DP解法注意初始的条件。

    11. Container With Most Water

    [Two Pointers | Array]

    Given n non-negative integers a1, a2, ..., an , where each represents a point at coordinate (i, ai). n vertical lines are drawn such that the two endpoints of the line i is at (i, ai) and (i, 0). Find two lines, which, together with the x-axis forms a container, such that the container contains the most water.

    Notice that you may not slant the container.

    fun maxArea(height: IntArray): Int {  var start = 0  var end = height.size - 1  var max = 0  while (start < end) {    val area = Math.min(height[start], height[end]) * (end - start)    if (area > max) {      max = area    }    if (height[start] > height[end]) {      end--    } else {      start++    }  }  return max}

    NOTE: 面积大小取决于最矮高度, min(x, y) * width, 宽度一定只能尽可能地增加高度才能让面积最大

    12. Integer to Roman

    [Math]

    Roman numerals are represented by seven different symbols: I, V, X, L, C, D and M.

    Symbol Value
    I 1
    V 5
    X 10
    L 50
    C 100
    D 500
    M 1000

    For example, 2 is written as II in Roman numeral, just two one’s added together. 12 is written as XII, which is simply X + II. The number 27 is written as XXVII, which is XX + V + II.

    Roman numerals are usually written largest to smallest from left to right. However, the numeral for four is not IIII. Instead, the number four is written as IV. Because the one is before the five we subtract it making four. The same principle applies to the number nine, which is written as IX. There are six instances where subtraction is used:

    • I can be placed before V (5) and X (10) to make 4 and 9.
    • X can be placed before L (50) and C (100) to make 40 and 90.
    • C can be placed before D (500) and M (1000) to make 400 and 900.

    Given an integer, convert it to a roman numeral.

    fun intToRoman(num: Int): String {  val ret = StringBuilder()  val romanInt = intArrayOf(1000, 900, 500, 400, 100, 90, 50, 40, 10, 9, 5, 4, 1)  val romanStr = arrayOf("M", "CM", "D", "CD", "C", "XC", "L", "XL", "X", "IX", "V", "IV", "I")  var num = num  var i = 0  while (num > 0) {    if (num - romanInt[i] >= 0) {      num -= romanInt[i]      ret.append(romanStr[i])    } else {      i++    }  }  return ret.toString()}

    NOTE: 罗马数字的特征,尽可能优先使用较大数值对应的字符,最后转换的结果字符最少,理由贪心算法思想,从最高位开始匹配,就能保证字符串最少。最开始想到的是另外一种方法查表法,将罗马数字的所有个位,十位..组合罗列出来,取低位的值不断地加,列表的时候较烦琐。

    13. Roman to Integer

    [Math]

    fun romanToInt(s: String): Int {    var ret = 0    val romanMap = mapOf("M" to 1000, "CM" to 900, "D" to 500, "CD" to 400,                         "C" to 100, "XC" to 90, "L" to 50, "XL" to 40, "X" to 10, "IX" to 9,                         "V" to 5, "IV" to 4, "I" to 1)    var romanStr = s    while (romanStr.isNotEmpty()) {        if (romanStr.length > 1 && romanMap[romanStr.substring(0, 2)] != null) {            ret += romanMap[romanStr.substring(0, 2)]!!            romanStr = romanStr.substring(2)        } else {            ret += romanMap[romanStr.substring(0, 1)]!!            romanStr = romanStr.substring(1)        }    }    return ret}

    NOTE: 思路同12,利用贪心算法。罗马数字高位就包含了位置信息只需从高位得到阿拉伯数字的值加上低位即可。

    14. Longest Common Prefix

    [String]

    fun longestCommonPrefix(strs: Array<String>): String {    if (strs.isEmpty()) return ""    var ret = strs[0]    for (i in 1 until strs.size) {        ret = computeCommonPrefix(ret, strs[i])        if (ret.isEmpty()) {            return ""        }    }    return ret}private fun computeCommonPrefix(s1: String, s2: String): String {    var i = 0    var j = 0    while (i < s1.length && j < s2.length) {        if (s1[i] == s2[j]) {            i++            j++        } else {            break        }    }    return s1.substring(0, i)}

    15. 3Sum

    [Array | Two Pointer]

    Given an array nums of n integers, are there elements a, b, c in nums such that a + b + c = 0? Find all unique triplets in the array which gives the sum of zero.

    Notice that the solution set must not contain duplicate triplets.

    fun threeSum(nums: IntArray): List<List<Int>> {    if (nums.size < 3) {        return listOf()    }    nums.sort()    val ret = mutableListOf<List<Int>>()    for ((index, value) in nums.withIndex()) {        if (index != 0 && nums[index] == nums[index - 1]) {            continue        }        var start = index + 1        var end = nums.size - 1        while (start < end) {            if (start != (index + 1) && nums[start] == nums[start - 1]) {                start++;                continue;            }            val threeSum = value + nums[start] + nums[end]            if (threeSum == 0) {                ret.add(listOf(value, nums[start], nums[end]))                end--                start++            } else if (threeSum > 0) {                end--            } else {                start++            }        }    }    return ret}

    NOTE: 排序,去重,利用双指针特性

    16. 3Sum Closest

    Given an array nums of n integers and an integer target, find three integers in nums such that the sum is closest to target. Return the sum of the three integers. You may assume that each input would have exactly one solution.

    fun threeSumClosest(nums: IntArray, target: Int): Int {    nums.sort()    var closest = 0    var distance = Integer.MAX_VALUE    for ((index, value) in nums.withIndex()) {        if (index != 0 && nums[index] == nums[index - 1]) {            continue        }        var start = index + 1        var end = nums.size - 1        while (start < end) {            if (start != index + 1 && nums[start - 1] == nums[start]) {                start++                continue            }            val treeSum = value + nums[start] + nums[end]            val curDistance = treeSum - target            if (curDistance == 0) {                return target            } else if (curDistance > 0) {                end--            } else if (curDistance < 0) {                start++            }            val absDis = Math.abs(curDistance)            if (absDis < distance) {                closest = treeSum                distance = absDis            }        }    }    return closest}

    17. Letter Combinations of a Phone Number

    [String | Backtracking | Depth-first Search | Recursion]

    Given a string containing digits from 2-9 inclusive, return all possible letter combinations that the number could represent. Return the answer in any order.

    A mapping of digit to letters (just like on the telephone buttons) is given below. Note that 1 does not map to any letters.

    //使用数组记录进位信息fun letterCombinations(digits: String): List<String> {    val ret = mutableListOf<String>()    val numberStrList = mutableListOf<String>()    for (c in digits) {        numberStrList.add(letterTable(c))    }    val arrIndex = Array(numberStrList.size) {0}    while (true) {        val strBuilder = StringBuilder()        for ((index, numStr) in numberStrList.withIndex()) {            strBuilder.append(numStr[arrIndex[index]])        }        if (strBuilder.isNotEmpty()) {            ret.add(strBuilder.toString())        }        var carry = 1        for (i in arrIndex.size - 1 downTo 0) {            if (carry == 0) {                break            }            if (arrIndex[i] + carry == numberStrList[i].length) {                carry = 1                arrIndex[i] = 0            } else {                arrIndex[i] += carry                carry = 0            }        }        if (carry == 1) {            break        }    }    return ret}fun letterTable(char: Char) = when (char) {    '2' -> "abc"    '3' -> "def"    '4' -> "ghi"    '5' -> "jkl"    '6' -> "mno"    '7' -> "pqrs"    '8' -> "tuv"    '9' -> "wxyz"    else -> ""}val ret = mutableListOf<String>()fun letterCombinations(digits: String): List<String> {    if (digits.length == 0) {        return ret    }    val numberStrList = mutableListOf<String>()    for (c in digits) {        numberStrList.add(letterTable(c))    }    internalLetterCombination(0, numberStrList, StringBuilder())    return ret}fun internalLetterCombination(index: Int, numberStrList:List<String>, sb:StringBuilder) {    if (index == numberStrList.size) {        ret.add(sb.toString())        return    }    for (c in numberStrList[index]) {        sb.append(c)        internalLetterCombination(index + 1, numberStrList, sb)        sb.deleteCharAt(sb.length - 1)    }}

    NOTE:两种方法,递归与迭代

    18. 4Sum

    [Two Pointer | HashTable]

    Given an array nums of n integers and an integer target, are there elements a, b, c, and d in nums such that a + b + c + d = target? Find all unique quadruplets in the array which gives the sum of target.

    Notice that the solution set must not contain duplicate quadruplets.

    fun fourSum(nums: IntArray, target: Int): List<List<Int>> {    val ret = mutableListOf<List<Int>>()    nums.sort()    for (i in 0..nums.size - 1) {        if (i != 0 && nums[i] == nums[i - 1]) {            continue        }        for (j in i + 1..nums.size - 1) {            if (j != i + 1 && nums[j] == nums[j - 1]) {                continue            }            var start = j + 1            var end = nums.size - 1            while (start < end) {                val tmp = nums[i] + nums[j] + nums[start] + nums[end]                if (target == tmp) {                    ret.add(listOf(nums[i], nums[j], nums[start], nums[end]))                    start++                    end--                } else if (tmp > target) {                    end--                } else {                    start++                }            }        }    }    return ret}

    NOTE:时间复杂度(o^3)

    19. Remove Nth Node From End of List

    Given the head of a linked list, remove the nth node from the end of the list and return its head.

    Follow up: Could you do this in one pass?

    fun removeNthFromEnd(head: ListNode?, n: Int): ListNode? {    val dummyHead = ListNode(0)    dummyHead.next = head    val recordList = mutableListOf<ListNode>()    var tmp: ListNode? = dummyHead    while (tmp != null) {        recordList.add(tmp)        tmp = tmp.next    }    val toRemove = recordList[recordList.size - n]    val preToRemove = recordList[recordList.size - n - 1]    preToRemove.next = toRemove.next    return dummyHead.next}

    NOTE: 构造Dummy节点就不用对头部单独处理; toRemove.next不用判断空;如果不用列表记录位置信息那么需要先遍历一遍算长度

    20. Valid Parentheses

    Given a string s containing just the characters ‘(‘, ‘)’, ‘{‘, ‘}’, ‘[‘ and ‘]’, determine if the input string is valid.

    An input string is valid if:

    • Open brackets must be closed by the same type of brackets.
    • Open brackets must be closed in the correct order.
    fun isValid(s: String): Boolean {    val stack = LinkedList<Char>()    for (c in s) {        val opposite = convertRight(c)        if (opposite != ' ') {            if (stack.isEmpty() || stack.pop() != opposite) {                return false            }        } else {            stack.push(c)        }    }    return stack.isEmpty()}fun convertRight(c: Char) = when(c) {    ')' -> '('    ']' -> '['    '}' -> '{'    else -> ' '}

    NOTE: 注意stack.isEmpty()判断顺序

    21. Merge Two Sorted Lists

    [LinkedList | Recursion]

    Merge two sorted linked lists and return it as a sorted list. The list should be made by splicing together the nodes of the first two lists.

    fun mergeTwoLists(l1: ListNode?, l2: ListNode?): ListNode? {    if (l1 == null) {        return l2    } else if (l2 == null) {        return l1    } else if (l1.`val` < l2.`val`) {        l1.next = mergeTwoLists(l1.next, l2)        return l1    } else {        l2.next = mergeTwoLists(l1, l2.next)        return l2    }}

    Note: 递归简洁

    22. Generate Parentheses

    [String | Backtracking]

    Given n pairs of parentheses, write a function to generate all combinations of well-formed parentheses.

    val ret1 = mutableListOf<String>()fun generateParenthesis(n: Int): List<String> {    generateParenthesisInternal(n, n , StringBuilder())    return ret1}fun generateParenthesisInternal(leftBracket: Int, rightBracket: Int, sb: StringBuilder) {    if (leftBracket == 0 && rightBracket == 0) {        ret1.add(sb.toString())        return    } else if (leftBracket > rightBracket) {        return    } else if (leftBracket < 0) {        return    }    sb.append('(')    generateParenthesisInternal(leftBracket - 1, rightBracket, sb)    sb.deleteCharAt(sb.length - 1)    sb.append(')')    generateParenthesisInternal(leftBracket, rightBracket - 1, sb)    sb.deleteCharAt(sb.length - 1)}

    Note: 回溯结束条件

    23. Merge k Sorted Lists

    [LinkedList | Divide and Conquer | Heap]

    You are given an array of k linked-lists lists, each linked-list is sorted in ascending order.

    Merge all the linked-lists into one sorted linked-list and return it.

    fun mergeKLists(lists: Array<ListNode?>): ListNode? {    return mergeKListsIntern(lists)}fun mergeKListsIntern(lists: Array<ListNode?>): ListNode? {    if (lists.size == 1) {        return lists[0]    } else if (lists.isEmpty()) {        return null    }    val leftListNode = mergeKListsIntern(lists.sliceArray(0 .. lists.size / 2 - 1))    val rightListNode = mergeKListsIntern(lists.sliceArray(lists.size / 2 .. lists.size - 1))    return mergeTwoListNode(leftListNode, rightListNode)}fun mergeTwoListNode(l1: ListNode?, l2: ListNode?): ListNode? {    if (l1 == null) {        return l2    } else if (l2 == null) {        return l1    } else if (l1.`val` < l2.`val`) {        l1.next = mergeTwoListNode(l1.next, l2)        return l1    } else {        l2.next = mergeTwoListNode(l1, l2.next)        return l2    }}

    24. Swap Nodes in Pairs

    [LinkedList | ]

    Given a linked list, swap every two adjacent nodes and return its head.

    fun swapPairs(head: ListNode?): ListNode? {    val dummyListNode = ListNode()    dummyListNode.next = head    var ihead = head    var pre = dummyListNode    while (ihead != null && ihead.next != null) {        val node1: ListNode = ihead        val node2: ListNode = ihead.next!!        pre.next = node2        node1.next = node2.next        node2.next = node1        ihead = node1.next        pre = node1    }    return dummyListNode.next}fun  swapPairs(head: ListNode?): ListNode? {    if (head == null || head.next == null) {        return head    }    val newHead: ListNode = head.next!!    head.next = swapPairs(newHead.next)    newHead.next = head    return newHead}

    NOTE:同时遍历两个节点;递归版本!!!

    25. Reverse Nodes in k-Group

    [LinkedList]

    Given a linked list, reverse the nodes of a linked list k at a time and return its modified list.

    k is a positive integer and is less than or equal to the length of the linked list. If the number of nodes is not a multiple of k then left-out nodes, in the end, should remain as it is.

    Follow up:

    • Could you solve the problem in O(1) extra memory space?
    • You may not alter the values in the list’s nodes, only nodes itself may be changed.
    fun reverseKGroup(head: ListNode?, k: Int): ListNode? {    val dummyHead = ListNode()    dummyHead.next = head    var ihead = head    var cur = head    var cnt = 1    var preCur: ListNode? = dummyHead    while (ihead != null) {        if (k == cnt) {            //reverse from cur ...            val newTail = cur            var curN = cur?.next            var curNN:ListNode? = null            while (cnt > 1) {                curNN = curN?.next                curN?.next = cur                cur = curN                curN = curNN                cnt--            }            newTail?.next = curN            preCur?.next = cur            cur = curN            preCur = newTail            ihead = newTail?.next            //cnt = 1        } else {            cnt++            ihead = ihead.next        }    }    return dummyHead.next}

    NOTE: 利用三个指针反转链表到达空间复杂度O(1)

    26. Remove Duplicates from Sorted Array

    [Array | Two Pointer]

    Given a sorted array nums, remove the duplicates in-place such that each element appears only once and returns the new length.

    Do not allocate extra space for another array, you must do this by modifying the input array in-place with O(1) extra memory.

    fun removeDuplicates(nums: IntArray): Int {    if (nums.isEmpty()) {        return 0    }    var i = 0    for (j in 1 .. nums.size - 1) {        if (nums[i] != nums[j]) {            i++            nums[i] = nums[j]        }    }    return i + 1}

    NOTE: 快慢指针移动赋值补位,不用移动后面的所有元素..

    27. Remove Element

    [Array | Two Pointer]

    Given an array nums and a value val, remove all instances of that value in-place and return the new length.

    Do not allocate extra space for another array, you must do this by modifying the input array in-place with O(1) extra memory.

    The order of elements can be changed. It doesn’t matter what you leave beyond the new length.

    fun removeElement(nums: IntArray, `val`: Int): Int {    var i = -1    for (j in 0 .. nums.size - 1) {        if (nums[j] != `val`) {            i++            nums[i] = nums[j]        }    }    return i + 1}

    28. Implement strStr()

    Implement strStr().

    Return the index of the first occurrence of needle in haystack, or -1 if needle is not part of haystack.

    fun strStr(haystack: String, needle: String): Int {  val m = haystack.length  val n = needle.length  if (n == 0) return 0  if (n > m) {    return -1  }  for (i in 0 .. m - n) {    for (j in 0 .. n - 1) {      if (haystack[i + j] != needle[j]) break      if (j == n - 1) {        return i      }    }  }  return -1}

    29. Divide Two Integers

    [Math]

    Given two integers dividend and divisor, divide two integers without using multiplication, division, and mod operator.

    Return the quotient after dividing dividend by divisor.

    The integer division should truncate toward zero, which means losing its fractional part. For example, truncate(8.345) = 8 and truncate(-2.7335) = -2.

    Note: Assume we are dealing with an environment that could only store integers within the 32-bit signed integer range: [−2^31, 2^31 − 1]. For this problem, assume that your function returns 2^31 − 1 when the division result overflows.

    fun divide(dividend: Int, divisor: Int): Int {    if (dividend == Integer.MIN_VALUE && divisor == -1) {        return Integer.MAX_VALUE;    }    val positive = (dividend > 0 && divisor > 0) || (dividend < 0 && divisor < 0)    val absDividend = Math.abs(dividend)    val absDivisor = Math.abs(divisor)    var toDec = absDivisor    var total = absDividend    var ret = 0    var cnt = 1    while (total - toDec >= 0) {        total -= toDec        ret += cnt        if (total <=0 ) {            break        }        if (total - (toDec shl 1) < 0) {            toDec = absDivisor            cnt = 1        } else {            if (toDec  < Int.MAX_VALUE - toDec) {                toDec = (toDec shl 1)                cnt += cnt            }        }    }    if (positive) {        return ret    } else {        return -ret    }}

    NOTE: 加法和就绝对值都可能溢出

    30. Substring with Concatenation of All Words

    [HashTable]

    You are given a string s and an array of strings words of the same length. Return all starting indices of substring(s) in s that is a concatenation of each word in words exactly once, in any order, and without any intervening characters.

    You can return the answer in any order.

    fun findSubstring(s: String, words: Array<String>): List<Int> {    val ret = mutableListOf<Int>()    val wordCountMap = mutableMapOf<String, Int>()    for (word in words) {        wordCountMap.put(word, wordCountMap.getOrDefault(word, 0) + 1)    }    val wordLen = words[0].length    val totalWorldLen = words.sumBy { it.length }    for (i in 0 .. s.length - totalWorldLen) {        val subStrMap = mutableMapOf<String, Int>()        var matchedCnt = 0        for (j in i .. i + totalWorldLen - 1 step wordLen) {            val subStr = s.substring(j, j + wordLen)            val cnt = subStrMap.getOrDefault(subStr, 0) + 1            if (cnt > wordCountMap.getOrDefault(subStr, 0)) {                break            }            matchedCnt++            subStrMap.put(subStr, cnt)        }        if (matchedCnt == words.size) {            ret.add(i)        }    }    return ret}

    NOTE:使用HashMap加速匹配

    31. Next Permutation

    [Array]

    Implement next permutation, which rearranges numbers into the lexicographically next greater permutation of numbers.

    If such an arrangement is not possible, it must rearrange it as the lowest possible order (i.e., sorted in ascending order).

    The replacement must be in place and use only constant extra memory.

    fun nextPermutation(nums: IntArray): Unit {  var end = nums.size - 1  var i = -1  var j = -1  //find i  for (k in end downTo 1) {    if (nums[k] > nums[k - 1]) {      i = k - 1      break    }  }  //find j  if (i != -1) {    for (k in end downTo i) {      if (nums[k] > nums[i]) {        j = k        break      }    }  }  //swap i and j  if (i != -1 && j != -1) {    swap(nums, i, j)  }  //reverse i .. tail  var start = i + 1  while (start < end) {    swap(nums, start++, end--)  }}fun swap(arr: IntArray, i: Int, j: Int) {  val tmp = arr[i]  arr[i] = arr[j]  arr[j] = tmp}

    NOTE: 要让数变大->将右边较大的数与左边较小的数交换,要想使变化的幅度最小,要在较大的数里面找到最小的

    32. Longest Valid Parentheses

    [String | Dynamic Program]

    Given a string containing just the characters ‘(‘ and ‘)’, find the length of the longest valid (well-formed) parentheses substring.

    fun longestValidParentheses(s: String): Int {    val dp = IntArray(s.length)    var ret = 0    for ((index, value) in s.withIndex()) {        if (value == ')') {            if (index > 0) {                if (s[index - 1] == '(') {                    dp[index] = (if (index - 2 >= 0) dp[index - 2] else 0) + 2                } else if (s[index - 1] == ')' && index - dp[index - 1] - 1 >= 0 && s[index - dp[index - 1] - 1] == '(') {                    dp[index] = dp[index - 1] + 2 + if (index - dp[index - 1] - 2 >= 0) dp[index - dp[index - 1] - 2] else 0                }                ret = Math.max(dp[index], ret)            }        }    }    return ret}

    NOTE: 使用例子列状态转移方程,尾部存在两张情况 “()”, “(…XX))”

    33. Search in Rotated Sorted Array

    [Binary Search]

    There is an integer array nums sorted in ascending order (with distinct values).

    Prior to being passed to your function, nums is rotated at an unknown pivot index k (0 <= k < nums.length) such that the resulting array is [nums[k], nums[k+1], …, nums[n-1], nums[0], nums[1], …, nums[k-1]] (0-indexed). For example, [0,1,2,4,5,6,7] might be rotated at pivot index 3 and become [4,5,6,7,0,1,2].

    Given the array nums after the rotation and an integer target, return the index of target if it is in nums, or -1 if it is not in nums.

    fun search(nums: IntArray, target: Int): Int {    var left = 0    var right = nums.size - 1    while (left <= right) {        val mid = (left + right) / 2        if (target == nums[mid]) {            return mid        }        if (nums[left] <= nums[mid]) {//left sorted, 注意这里的等号,left与mid在两个数的时候相等            if (target >= nums[left] && target < nums[mid]) {                right = mid - 1            } else {                left = mid + 1            }        } else {//right sorted            if (target > nums[mid] && target <= nums[right]) {                left = mid + 1            } else {                right = mid - 1            }        }    }    return -1}

    Note: 二分法,有一边肯定是有序的,判断是否在有序的返回以内,如果在,那么就可以在这个范围查找,不在的话肯定在另外一边

    34. Find First and Last Position of Element in Sorted Array

    [Binary Search]

    Given an array of integers nums sorted in ascending order, find the starting and ending position of a given target value.

    If target is not found in the array, return [-1, -1].

    Follow up: Could you write an algorithm with O(log n) runtime complexity?

    fun searchRange(nums: IntArray, target: Int): IntArray {    var l = 0    var r = nums.size - 1    var retL = -1    var retR = -1    //search left bound    while (l <= r) {        val mid = (l + r) / 2        if (nums[mid] == target) {            retL = mid            r = mid - 1        } else if (nums[mid] > target) {            r = mid - 1        } else {            l = mid + 1        }    }    //search right bound    l = 0    r = nums.size - 1    while (l <= r) {        val mid = (l + r) / 2        if (nums[mid] == target) {            retR = mid            l = mid + 1        } else if (nums[mid] > target) {            r = mid - 1        } else {            l = mid + 1        }    }    return intArrayOf(retL, retR)}

    Note: 二分法核心是确定搜索区间

    35. Search Insert Position

    [Binary Search]

    Given a sorted array of distinct integers and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order.

    fun searchInsert(nums: IntArray, target: Int): Int {    var l = 0    var r = nums.size - 1    while (l <= r) {        val mid = (l + r) / 2        if (nums[mid] == target) {            return mid        } else if (nums[mid] > target) {            r = mid - 1        } else if (nums[mid] < target) {            l = mid + 1        }    }    return l}

    36. Valid Sudoku

    [Array | HashTable]

    Determine if a 9 x 9 Sudoku board is valid. Only the filled cells need to be validated according to the following rules:

    • Each row must contain the digits 1-9 without repetition.
    • Each column must contain the digits 1-9 without repetition.
    • Each of the nine 3 x 3 sub-boxes of the grid must contain the digits 1-9 without repetition.

    Note:

    • A Sudoku board (partially filled) could be valid but is not necessarily solvable.
    • Only the filled cells need to be validated according to the mentioned rules.
    fun isValidSudoku(board: Array<CharArray>): Boolean {    val rowMap = Array(10) {IntArray(10)}    val colMap = Array(10) {IntArray(10)}    val subBoxMap = Array(10) {IntArray(10)}    var row = 0    while (row < board.size) {        var col = 0        while (col < board[row].size) {            if (board[row][col] == '.') {                col++                continue            }            val digits = board[row][col] - '0'            //row exists            if (rowMap[row][digits] != 0) {                return false            } else {                rowMap[row][digits] = 1            }            //col exists            if (colMap[col][digits] != 0) {                return false            } else {                colMap[col][digits] = 1            }            //subbox exists            if (subBoxMap[(row / 3) * 3 + col / 3][digits] != 0) {                return false            } else {                subBoxMap[(row / 3) * 3 + col / 3][digits] = 1            }            col++        }        row++    }    return true}

    NOTE: 逐个遍历,然后使用表加速查找

    37. Sudoku Solver

    Write a program to solve a Sudoku puzzle by filling the empty cells.

    A sudoku solution must satisfy all of the following rules:

    • Each of the digits 1-9 must occur exactly once in each row.
    • Each of the digits 1-9 must occur exactly once in each column.
    • Each of the digits 1-9 must occur exactly once in each of the 9 3x3 sub-boxes of the grid.

    The ‘.’ character indicates empty cells.

    fun solveSudoku(board: Array<CharArray>): Unit {    val rowTable = Array(10) { IntArray(10) { 0 } }    val colTable = Array(10) { IntArray(10) { 0 } }    val subTable = Array(10) { IntArray(10) { 0 } }    for (row in 0..board.size - 1) {        for (col in 0..board[0].size - 1) {            if (board[row][col] != '.') {                val digit = board[row][col] - '0'                rowTable[row][digit] = 1                colTable[col][digit] = 1                subTable[3 * (row / 3) + col / 3][digit] = 1            }        }    }    solveSudoku(board, rowTable, colTable, subTable, 0, 0)}fun solveSudoku(board: Array<CharArray>, rowTable: Array<IntArray>, colTable: Array<IntArray>, subTable: Array<IntArray>, row: Int, col: Int): Boolean {    if (row == board.size) {        return true    }    var ret: Boolean = false    if (board[row][col] == '.') {        for (i in 1..9) {            if (rowTable[row][i] != 1 && colTable[col][i] != 1 && subTable[3 * (row / 3) + col / 3][i] != 1) {                rowTable[row][i] = 1                colTable[col][i] = 1                subTable[3 * (row / 3) + col / 3][i] = 1                board[row][col] = '0' + i                if (col == board[0].size - 1) {                    ret = solveSudoku(board, rowTable, colTable, subTable, row + 1, 0)                } else {                    ret = solveSudoku(board, rowTable, colTable, subTable, row, col + 1)                }                if (ret) {                    return true                }                board[row][col] = '.'                rowTable[row][i] = 0                colTable[col][i] = 0                subTable[3 * (row / 3) + col / 3][i] = 0            }        }    } else {        if (col == board[0].size - 1) {            ret = solveSudoku(board, rowTable, colTable, subTable, row + 1, 0)        } else {            ret = solveSudoku(board, rowTable, colTable, subTable, row, col + 1)        }    }    return ret}

    Note: 万能的回溯..

    38. Count and Say

    [String]

    The count-and-say sequence is a sequence of digit strings defined by the recursive formula:

    • countAndSay(1) = “1”
    • countAndSay(n) is the way you would “say” the digit string from countAndSay(n-1), which is then converted into a different digit string.

    To determine how you “say” a digit string, split it into the minimal number of groups so that each group is a contiguous section all of the same character. Then for each group, say the number of characters, then say the character. To convert the saying into a digit string, replace the counts with a number and concatenate every saying.

    fun countAndSay(n: Int): String {    var ret = StringBuilder()    for (i in 1..n) {        if (ret.isEmpty()) {            ret.append(i)        } else {            val tmp = StringBuilder()            var lastChar = 'x'            var cnt = 1            for ((index, c) in ret.withIndex()) {                if (index == 0) {                    tmp.append(c)                } else {                    if (lastChar == c) {                        cnt++                    } else {                        tmp.append(cnt)                        tmp.append(c)                        cnt = 1                    }                }                lastChar = c            }            tmp.append(cnt)            ret = tmp        }    }    return ret.reverse().toString()}

    39. Combination Sum

    Given an array of distinct integers candidates and a target integer target, return a list of all unique combinations of candidates where the chosen numbers sum to target. You may return the combinations in any order.

    The same number may be chosen from candidates an unlimited number of times. Two combinations are unique if the frequency of at least one of the chosen numbers is different.

    It is guaranteed that the number of unique combinations that sum up to target is less than 150 combinations for the given input.

    val ret5 = mutableListOf<List<Int>>()fun combinationSum(candidates: IntArray, target: Int): List<List<Int>> {    //candidates.sort()    internalCombinationSum(candidates,  target, mutableListOf(), 0)    return ret5}fun internalCombinationSum(candidates: IntArray, target: Int, tracer: MutableList<Int>, startIndex: Int) {    val sum = tracer.sum()    if (sum == target) {        ret5.add(ArrayList(tracer))        return    } else if (sum > target) {        return    }    for (i in startIndex..candidates.size - 1) {        tracer.add(candidates[i])        internalCombinationSum(candidates, target, tracer, i)        tracer.removeAt(tracer.size - 1)    }}

    Note: 可不排序,排序后减少回溯分支

    40. Combination Sum II

    Given a collection of candidate numbers (candidates) and a target number (target), find all unique combinations in candidates where the candidate numbers sum to target.

    Each number in candidates may only be used once in the combination.

    Note: The solution set must not contain duplicate combinations.

    val ret6 = mutableListOf<List<Int>>()fun combinationSum2(candidates: IntArray, target: Int): List<List<Int>> {    candidates.sort()    combinationSum2Recur(candidates, target, 0, mutableListOf())    return ret6}fun combinationSum2Recur(candidates: IntArray, target: Int, startIndex: Int, tracer: MutableList<Int>) {    val sum = tracer.sum()    if (sum == target) {        ret6.add(ArrayList(tracer))        return    } else if (sum > target) {        return    }    for (i in startIndex..candidates.size - 1) {        if (i != startIndex && candidates[i] == candidates[i - 1]) {            continue        }        tracer.add(candidates[i])        combinationSum2Recur(candidates, target, i + 1, tracer)        tracer.removeAt(tracer.size - 1)    }}

    Note: 排序去重

    41. First Missing Positive

    Given an unsorted integer array nums, find the smallest missing positive integer.

    fun firstMissingPositive(nums: IntArray): Int {    val len = nums.size + 1    val hash = Array(len){-1}    for ((index, value) in nums.withIndex()) {        if (value > 0  && value < len) {            hash[value] = index        }    }    for (i in  1 .. nums.size) {        if (hash[i] == -1) {            return i        }    }    return nums.size + 1}

    Note: 利用哈希表加速查找

    42. Trapping Rain Water

    Given n non-negative integers representing an elevation map where the width of each bar is 1, compute how much water it can trap after raining.

    //DP:fun trap(height: IntArray): Int {    if (height.size <= 2) {        return 0    }    var ret = 0    val maxLefts = Array(height.size){0}    val maxRights = Array(height.size){0}    var tmpMax = 0    for (i in 0 .. height.size - 1) {        maxLefts[i] = Math.max(height[i], tmpMax)        tmpMax = maxLefts[i]    }    tmpMax = 0    for (i in height.size - 1 downTo 0) {        maxRights[i] = Math.max(height[i], tmpMax)        tmpMax = maxRights[i]    }    for (i in 1 .. (height.size - 2)) {        val area = Math.min(maxLefts[i], maxRights[i]) - height[i]        if (area > 0) {            ret += area        }    }    return ret}//Two Pointerfun trap(height: IntArray): Int {  if (height.size < 3) {    return 0  }  var ret = 0  var maxLeft = height[0]  var maxRight = height[height.size - 1]  var left = 1  var right = height.size - 2  while (left <= right) {    if (maxLeft < maxRight) {      val area = maxLeft - height[left]      if (area > 0) {        ret += area      }      maxLeft = Math.max(maxLeft, height[left])      left++    } else {      val area = maxRight - height[right]      if (area > 0) {        ret += area      }      maxRight = Math.max(maxRight, height[right])      right--    }  }  return ret}

    Note: 当前条的面积等于左边的最大高度与右边最小高度的最小值减去当前条的高度。双指针可以利用隐含条件,当另外一边的最大大于已经遍历过的这一边的最大,就可以确定左右最大中的最小。

    43. Multiply Strings

    [String | Math]

    Given two non-negative integers num1 and num2 represented as strings, return the product of num1 and num2, also represented as a string.

    Note: You must not use any built-in BigInteger library or convert the inputs to integer directly.

    fun multiply(num1: String, num2: String): String {    if (num1.equals("0") || num2.equals("0")) {        return "0"    }    var ret = ""    var tailZero = 0    for (c2 in num2.length - 1 downTo  0) {        val i2 = num2[c2] - '0'        var carry = 0        val tmp = StringBuilder()        for (c1 in num1.length - 1 downTo  0) {            val i1 = num1[c1] - '0'            val product = i1 * i2 + carry            val cur = product % 10            carry = product / 10            tmp.append(cur.toString())        }        if (carry > 0) {            tmp.append(carry)        }        for (i in 1..tailZero) {            tmp.insert(0, "0")        }        ret = plus(ret, tmp.toString())        tailZero++    }    return ret.reversed()}fun plus(num1: String, num2: String): String {    if (num1.isEmpty()) {        return num2    }else if (num2.isEmpty()) {        return num1    }    val ret = StringBuilder()    var i = 0    var j = 0    var carry = 0    while (true) {        if (i <= num1.length - 1 && j <= num2.length - 1) {            val i1 = num1[i] - '0'            val i2 = num2[i] - '0'            val addtion = i1 + i2 + carry            ret.append(addtion % 10)            carry = addtion / 10        } else if (i <= num1.length - 1) {            val v = num1[i] - '0'            val addtion = v + carry            ret.append(addtion % 10)            carry = addtion / 10        } else if (j <= num2.length - 1) {            val v = num2[j] - '0'            val addtion = v + carry            ret.append(addtion % 10)            carry = addtion / 10        } else {            break        }        i++        j++    }    if (carry > 0) {        ret.append(carry)    }    return ret.toString()}

    44. Wildcard Matching

    [Dynamic Programing]

    Given an input string (s) and a pattern (p), implement wildcard pattern matching with support for ‘?’ and ‘*’ where:

    • ‘?’ Matches any single character.
    • ‘*’ Matches any sequence of characters (including the empty sequence).

    The matching should cover the entire input string (not partial).

        fun isMatch(s: String, p: String): Boolean {        val pLen = p.length        val sLen = s.length        val dp = Array(pLen + 1){ BooleanArray(sLen + 1)}        dp[0][0] = true        for (i in 0 .. pLen - 1) {            if (p[i] == '*') {                dp[i + 1][0] = true            } else {                break            }        }        for (i in 0 .. pLen-1) {            for (j in 0 .. sLen-1) {                if (p[i] == s[j] || p[i] == '?') {                    dp[i + 1][j + 1] = dp[i][j]                } else if (p[i] == '*') {                    dp[i + 1][j + 1] = dp[i][j + 1] || dp[i + 1][j]                }            }        }        return dp[pLen][sLen]    }

    Note: 注意号的转移方程,是左右匹配的,被消耗或者没有被消耗的情况

    45. Jump Game II

    [Greedy]

    Given an array of non-negative integers nums, you are initially positioned at the first index of the array.

    Each element in the array represents your maximum jump length at that position.

    Your goal is to reach the last index in the minimum number of jumps.

    You can assume that you can always reach the last index.

    //reverse:fun jump(nums: IntArray): Int {    var step = 0    val end = nums.size - 1    var position = end    var curEnd = end    while (position > 0) {        position--        for (i in 0 until position) {            if (i + nums[i] >= curEnd) {                position = i                break            }        }        curEnd = position        step++    }    return step}//forward:fun jump(nums: IntArray): Int {    var steps = 0    var end = 0    var curMaxDistance = 0    for (i in 0 .. nums.size - 2) {        curMaxDistance = Math.max(nums[i] + i, curMaxDistance)        if (end == i) {            steps++            end = curMaxDistance        }    }    return steps}

    Note: 求局部最优解 —> 全局最优解

    46. Permutations

    [Backtracking]

    Given an array nums of distinct integers, return all the possible permutations. You can return the answer in any order.

    val ret7 = mutableListOf<List<Int>>();fun permute(nums: IntArray): List<List<Int>> {    permuteRecur(nums, mutableListOf())    return ret7}fun permuteRecur(nums: IntArray, tracer: MutableList<Int>) {    if (tracer.size == nums.size) {        ret7.add(tracer.toList())        return    }    for (i in nums) {        if (!tracer.contains(i)) {            tracer.add(i)            permuteRecur(nums, tracer)            tracer.remove(i)        }    }}//Space O(1)val ret8 = mutableListOf<List<Int>>();fun permute(nums: IntArray): List<List<Int>> {    permuteRecur(nums, 0)    return ret8}fun permuteRecur(nums: IntArray, startIndex: Int) {    if (startIndex == nums.size) {        ret8.add(nums.toList())        return    }    for (index in startIndex .. nums.size - 1) {        swap(nums, index, startIndex)        permuteRecur(nums, startIndex + 1)        swap(nums, index, startIndex)    }}fun swap(x: IntArray, a: Int, b: Int) {    val t = x[a]    x[a] = x[b]    x[b] = t}

    47. Permutations II

    [Backtracking]

    Given a collection of numbers, nums, that might contain duplicates, return all possible unique permutations in any order.

    val ret9 = mutableListOf<List<Int>>()fun permuteUnique(nums: IntArray): List<List<Int>> {  nums.sort()  permuteUnique(nums, BooleanArray(nums.size), LinkedList())  return ret9}fun permuteUnique(nums: IntArray, visited: BooleanArray, path: LinkedList<Int>) {  if (path.size == nums.size ) {    ret9.add(path.toList())    return  }  for (i in 0 .. nums.size - 1) {    if (i != 0 && nums[i] == nums[i - 1] && !visited[i - 1]) {      continue    }    if (visited[i]) {      continue    }    path.add(nums[i])    visited[i] = true    permuteUnique(nums, visited, path)    visited[i] = false    path.removeLast()  }}

    Note: 开始遍历了之后就不用判断相同的上一个

    48. Rotate Image

    You are given an n x n 2D matrix representing an image, rotate the image by 90 degrees (clockwise).

    You have to rotate the image in-place, which means you have to modify the input 2D matrix directly. DO NOT allocate another 2D matrix and do the rotation.

    fun rotate(matrix: Array<IntArray>): Unit {  var level = 0  val end = matrix.size - 1  while (matrix.size - 2 * level >= 2) {    for (i in level .. matrix.size - level - 2) {      //(level, i)  -> (i, end - level)      val leftTop = matrix[level][i]      val rightTop = matrix[i][end - level]      val rightBottom = matrix[end - level][end - i]      val leftBottom = matrix[end - i][level]      matrix[level][i] = leftBottom      matrix[i][end - level] = leftTop      matrix[end - level][end - i] = rightTop      matrix[end - i][level] = rightBottom    }    level++  }}

    Note: 注意边界条件

    49. Group Anagrams

    [HashTable]

    Given an array of strings strs, group the anagrams together. You can return the answer in any order.

    An Anagram is a word or phrase formed by rearranging the letters of a different word or phrase, typically using all the original letters exactly once.

    fun groupAnagrams(strs: Array<String>): List<List<String>> {    val map = mutableMapOf<String, MutableList<String>>()    for (s in strs) {        val chars = s.toCharArray()        chars.sort()        val key = String(chars)        if (map.containsKey(key)) {            map[key]?.add(s)        } else {            map[key] = mutableListOf(s)        }    }    val values = map.values    val ret = mutableListOf<List<String>>()    values.forEach {        ret.add(it)    }    return ret}

    50. Pow(x, n)

    [Divide Conquer]

    Implement pow(x, n), which calculates x raised to the power n (i.e. xn).

    //递归:fun myPow(x: Double, n: Int): Double {    if (n < 0) {        return 1.0f / myPowRecur(x, Math.abs(n))    } else {        return myPowRecur(x, Math.abs(n))    }}fun myPowRecur(x: Double, n: Int): Double {    if (n == 1) {        return x    } else if (n == 0) {        return 1.0    }    val part = myPowRecur(x, n / 2)    if (n % 2 == 0) {        return part * part    } else {        return part * part * x    }}//迭代:fun myPow(x: Double, n: Int): Double {    var ret = 1.0    var N = Math.abs(n.toLong())    var tmp = x    while (N > 0) {        if (N and 1 == 1L) {            ret *= tmp        }        N = N shr  1        tmp *= tmp    }    return if (n > 0) ret else 1.0 / ret}

    Note: 指数二进制移位

    51. N-Queens

    [Backtracking]

    The n-queens puzzle is the problem of placing n queens on an n x n chessboard such that no two queens attack each other.

    Given an integer n, return all distinct solutions to the n-queens puzzle.

    Each solution contains a distinct board configuration of the n-queens’ placement, where ‘Q’ and ‘.’ both indicate a queen and an empty space, respectively.

    val ret = mutableListOf<List<String>>()fun solveNQueens(n: Int): List<List<String>> {    solveNQueensRecur(n, 0, IntArray(n){-1})    return ret}fun solveNQueensRecur(n: Int, row: Int, path: IntArray) {    //check (row - 1)already placed    if (row == path.size) {        val listStr = mutableListOf<String>()        val tmp = StringBuilder()        for (i in path) {            tmp.clear()            for (j in 0 .. row - 1) {                if (i == j) {                    tmp.append("Q")                } else {                    tmp.append(".")                }            }            listStr.add(tmp.toString())        }        ret.add(listStr)        return    }    for (i in 0 .. n - 1) {        path[row] = i        if (!checkPathIsValid(path, row)) {            continue        }        solveNQueensRecur(n, row + 1, path)        path[row] = -1    }}fun checkPathIsValid(path: IntArray, row: Int) : Boolean {    if (row >= 1) {        val cur = path[row]        for (k in row - 1 downTo 0) {            if (cur == path[k]) {                return false            }            if ((path[k] + row - k) == cur || (path[k] - (row - k)) == cur) {                return false            }        }    }    return true}

    52. N-Queens II

    The n-queens puzzle is the problem of placing n queens on an n x n chessboard such that no two queens attack each other.

    Given an integer n, return the number of distinct solutions to the n-queens puzzle.

    var ret2 = 0fun solveNQueensRecur(n: Int, row: Int, path: IntArray) {    //check (row - 1)already placed    if (row == path.size) {        ret2++        return    }    for (i in 0 .. n - 1) {        path[row] = i        if (!checkPathIsValid(path, row)) {            continue        }        solveNQueensRecur(n, row + 1, path)        path[row] = -1    }}fun checkPathIsValid(path: IntArray, row: Int) : Boolean {    if (row >= 1) {        val cur = path[row]        for (k in row - 1 downTo 0) {            if (cur == path[k]) {                return false            }            if ((path[k] + row - k) == cur || (path[k] - (row - k)) == cur) {                return false            }        }    }    return true}fun totalNQueens(n: Int): Int {    solveNQueensRecur(n, 0, IntArray(n){-1})    return ret2}

    53. Maximum Subarray

    Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.

    fun maxSubArray(nums: IntArray): Int {    var subMax = nums[0]     var max = subMax    for (i in 1 .. nums.size - 1) {         if (subMax < 0) {            subMax = nums[i]        } else {            subMax += nums[i]        }        max = Math.max(max, subMax)    }    return max}

    Note: 动态规划, 状态压缩,只取最大的那个

    54. Spiral Matrix

    Given an m x n matrix, return all elements of the matrix in spiral order.

    fun spiralOrder(matrix: Array<IntArray>): List<Int> {    val ret = mutableListOf<Int>()    var left = 0    var top = 0    var right = matrix[0].size - 1    var bottom = matrix.size - 1    while (left <= right && top <= bottom) {        for (i in left .. right) {            ret.add(matrix[top][i])        }        for (i in top + 1 .. bottom) {            ret.add(matrix[i][right])        }        if (bottom  > top && right > left) {            for (i in right - 1 downTo left) {                ret.add(matrix[bottom][i])            }            for (i in bottom - 1 downTo top + 1) {                ret.add(matrix[i][left])            }        }        left++        top++        bottom--        right--    }    return ret}

    Note: bottom > top && right > left 不能转向的判断

    55. Jump Game

    [Greedy]

    Given an array of non-negative integers nums, you are initially positioned at the first index of the array.

    Each element in the array represents your maximum jump length at that position.

    Determine if you are able to reach the last index.

    fun canJump(nums: IntArray): Boolean {    if (nums.size == 1) {        return true    }    var barrier = 0    var max = nums[0]    for (i in 0 .. nums.size - 2) {        max = Math.max(max, i + nums[i])        if (barrier == i) {            if (barrier >= max) {                return false            }            barrier = max        }        if (max >= nums.size - 1) {            return true        }    }    return false}

    56. Merge Intervals

    Given an array of intervals where intervals[i] = [starti, endi], merge all overlapping intervals, and return an array of the non-overlapping intervals that cover all the intervals in the input.

    fun merge(intervals: Array<IntArray>): Array<IntArray> {//        for (i in 0 .. intervals.size - 2) {//            for (j in i + 1 .. intervals.size - 1) {//                if (intervals[i][0] > intervals[j][0]) {//                    val tmp = intervals[i]//                    intervals[i] = intervals[j]//                    intervals[j] = tmp//                }//            }//        }    val ret = mutableListOf<IntArray>()    fun quickSort(arr: Array<IntArray>, start: Int, end: Int) {        fun swap(arr: Array<IntArray>, i: Int, j: Int) {            val tmp = arr[i]            arr[i] = arr[j]            arr[j] = tmp        }        if (start >= end) {            return        }        val mid = (start + end) / 2        swap(arr, mid, start)        val pivot = arr[start]        var last = start        var i = start + 1        while (i <= end) {            if (arr[i][0] < pivot[0]) {                swap(arr, i, ++last)            }            i++        }        swap(arr, last, start)        quickSort(arr, start, last - 1)        quickSort(arr, last + 1, end)    }    quickSort(intervals, 0, intervals.size - 1)    ret.add(intervals[0])    for (i in 1 .. intervals.size - 1) {        if (ret[ret.size - 1][1] >= intervals[i][0]) {            ret[ret.size - 1][0] = Math.min(intervals[i][0], ret[ret.size - 1][0])            ret[ret.size - 1][1] = Math.max(intervals[i][1], ret[ret.size - 1][1])        } else {            ret.add(intervals[i])        }    }    return ret.toTypedArray()}

    Note: 快排快慢指针的运用

    57. Insert Interval

    Given a set of non-overlapping intervals, insert a new interval into the intervals (merge if necessary).

    You may assume that the intervals were initially sorted according to their start times.

    fun insert(intervals: Array<IntArray>, newInterval: IntArray): Array<IntArray> {    val newIntervalList = intervals.toMutableList()    var i = 0    while (i <= newIntervalList.size - 1) {        if (newIntervalList[i][0] > newInterval[0]) {            newIntervalList.add(i, newInterval)            break        }        i++    }    if (newIntervalList.size == intervals.size) {        newIntervalList.add(newInterval)    }    val ret = mutableListOf<IntArray>()    ret.add(newIntervalList[0])    for (j in 1 .. newIntervalList.size - 1) {        if (ret[ret.size - 1][1] >= newIntervalList[j][0]) {            ret[ret.size - 1][0] = Math.min(newIntervalList[j][0], ret[ret.size - 1][0])            ret[ret.size - 1][1] = Math.max(newIntervalList[j][1], ret[ret.size - 1][1])        } else {            ret.add(newIntervalList[j])        }    }    return ret.toTypedArray()}

    58. Length of Last Word

    Given a string s consists of some words separated by spaces, return the length of the last word in the string. If the last word does not exist, return 0.

    A word is a maximal substring consisting of non-space characters only.

    fun lengthOfLastWord(s: String): Int {    var ret = 0    var end = s.length - 1    //trim tail    while (end >= 0) {        if (s[end] != ' ') {            break        } else {            end--        }    }    while (end >= 0) {        if (s[end] == ' ') {            break        } else {            end--            ret++        }    }    return ret}

    59. Spiral Matrix II

    Given a positive integer n, generate an n x n matrix filled with elements from 1 to n2 in spiral order.

    fun generateMatrix(n: Int): Array<IntArray> {    val ret = Array(n) { IntArray(n) }    var x = 1    var left = 0    var top = 0    var right = n - 1    var bottom = n - 1    while (top <= bottom && left <= right) {        for (i in left .. right) {            ret[top][i] = x++        }        for (i in top + 1 .. bottom) {            ret[i][right] = x++        }        for (i in right - 1 downTo left) {            ret[bottom][i] = x++        }        for (i in bottom - 1 downTo top + 1) {            ret[i][left] = x++        }        top++        left++        right--        bottom--    }    return ret}

    60. Permutation Sequence

    The set [1, 2, 3, …, n] contains a total of n! unique permutations.

    By listing and labeling all of the permutations in order, we get the following sequence for n = 3:

    "123""132""213""231""312""321"

    Given n and k, return the kth permutation sequence.

    fun getPermutation(n: Int, k: Int): String {  val exponents = IntArray(n)  exponents[0] = 1  for (i in 1 .. n - 1) {    exponents[i] = i * exponents[i - 1]  }  val ret = StringBuilder()  val readySelectArr = (1..n).toMutableList()  var k = k - 1  for (i in n downTo 1) {    val cur = k / exponents[i - 1]    ret.append(readySelectArr.removeAt(cur))    k -= cur * exponents[i - 1]  }  return ret.toString()}

    Note: 注意数组下标从0开始,即求k-1个

    61. Rotate List

    Given the head of a linked list, rotate the list to the right by k places.

    fun rotateRight(head: ListNode?, k: Int): ListNode? {    if (head?.next == null) {        return head    }    var size = 0    var tmp = head    while (tmp != null) {        tmp = tmp.next        size++    }    val dummyHead = ListNode(0)    dummyHead.next = head    var n = k % size    while (n > 0) {        var cur = dummyHead.next        var curNext = cur?.next        while (curNext?.next != null) {            cur = cur?.next            curNext = curNext.next        }        cur?.next = null        curNext?.next = dummyHead.next        dummyHead.next = curNext        n--    }    return dummyHead.next}//way 2:fun rotateRight(head: ListNode?, k: Int): ListNode? {    if (head?.next == null) {        return head    }    var size = 1    var iter = head    while (iter?.next != null) {        iter = iter.next        size++    }    iter?.next = head// tail    var pre = size - k % size    iter = head    while (pre > 1) {        iter = iter?.next        pre --    }    val ret = iter?.next    iter?.next = null    return ret}

    Note: 利用求余数的方法得到有效的的旋转次数。 way 2 闭合环遍历断开

    62. Unique Paths

    [Dynamic Programing]

    A robot is located at the top-left corner of a m x n grid (marked ‘Start’ in the diagram below).

    The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked ‘Finish’ in the diagram below).

    How many possible unique paths are there?

    fun uniquePaths(m: Int, n: Int): Int {    val dp = IntArray(n)    for (i in 0..n - 1) {        dp[i] = 1    }    for (i in 1..m - 1) {        for (j in 1..n - 1) {            dp[j] = dp[j - 1] + dp[j]        }    }    return dp[n - 1]}

    Note: 回溯,递归超时; 滚动数组优化空间

    63. Unique Paths II

    A robot is located at the top-left corner of a m x n grid (marked ‘Start’ in the diagram below).

    The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked ‘Finish’ in the diagram below).

    Now consider if some obstacles are added to the grids. How many unique paths would there be?

    An obstacle and space is marked as 1 and 0 respectively in the grid.

    fun uniquePathsWithObstacles(obstacleGrid: Array<IntArray>): Int {    val m = obstacleGrid.size    val n = obstacleGrid[0].size    if (obstacleGrid[m - 1][n - 1] == 1) {        return 0    }    val dp = IntArray(n) { 0 }    for (i in 0..n - 1) {        if (obstacleGrid[0][i] == 1) {            break        }        dp[i] = 1    }    for (i in 1 .. m - 1) {        for (j in 0 .. n - 1) {            if (j == 0) {                if (obstacleGrid[i][0] == 1) {                    dp[j] = 0                }            } else {                val part1 = if(obstacleGrid[i][j] == 1) 0 else dp[j]                val part2 = if(obstacleGrid[i][j] == 1) 0 else dp[j - 1]                dp[j] = part1 + part2            }        }    }    return dp[n - 1]}

    Note:状态压缩

    64. Minimum Path Sum

    Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right, which minimizes the sum of all numbers along its path.

    Note: You can only move either down or right at any point in time.

    fun minPathSum(grid: Array<IntArray>): Int {    val m = grid.size    val n = grid[0].size    val dp = IntArray(n)    dp[0] = grid[0][0]    for (i in 1..n - 1) {        dp[i] = grid[0][i] + dp[i - 1]    }    for (i in 1..m - 1) {        for (j in 0..n - 1) {            if (j == 0) {                dp[j] = grid[i][j] + dp[j]            } else {                dp[j] = grid[i][j] + Math.min(dp[j - 1], dp[j])            }        }    }    return dp[n - 1]}

    65. Valid Number

    [String | FSM]

    A valid number can be split up into these components (in order):

    A decimal number or an integer.(Optional) An 'e' or 'E', followed by an integer.

    A decimal number can be split up into these components (in order):

    (Optional) A sign character (either '+' or '-').One of the following formats:    At least one digit, followed by a dot '.'.    At least one digit, followed by a dot '.', followed by at least one digit.    A dot '.', followed by at least one digit.

    An integer can be split up into these components (in order):

    (Optional) A sign character (either '+' or '-').At least one digit.

    For example, all the following are valid numbers: [“2”, “0089”, “-0.1”, “+3.14”, “4.”, “-.9”, “2e10”, “-90E3”, “3e+7”, “+6e-1”, “53.5e93”, “-123.456e789”], while the following are not valid numbers: [“abc”, “1a”, “1e”, “e3”, “99e2.5”, “–6”, “-+3”, “95a54e53”].

    Given a string s, return true if s is a valid number.

    data class ContextData(var decimal: Boolean, var exponential: Boolean)enum class StateMachine {    INVALID {        override fun next(c: Char, context: ContextData): StateMachine {            TODO("Not yet implemented")        }    },    START {        override fun next(c: Char, context: ContextData): StateMachine {            if ((c == '+' || c == '-')) {                return INTEGER            } else if (c.isDigit()) {                context.decimal = true                return INTEGER            } else if (c == '.') {                return FRACTION            } else {                return INVALID            }        }    },    INTEGER {        override fun next(c: Char, context: ContextData): StateMachine {            if (c.isDigit()) {                context.decimal = true                return this            } else if (c == '.') {                return FRACTION            } else if (c == 'e' || c == 'E') {                context.exponential = false                return E_SIGN            } else {                return INVALID            }        }    },    FRACTION {        override fun next(c: Char, context: ContextData): StateMachine {            if (c.isDigit()) {                context.decimal = true                return this            } else if (c == 'e' || c == 'E') {                context.exponential = false                return E_SIGN            } else {                return INVALID            }        }    },    E_SIGN {        override fun next(c: Char, context: ContextData): StateMachine {            if (!context.decimal) {                return INVALID            }            if (c == '+' || c == '-') {                context.exponential = false                return E_INTEGER            } else if (c.isDigit()){                context.exponential = true                return E_INTEGER            } else {                return INVALID            }        }    },    E_INTEGER {        override fun next(c: Char, context: ContextData): StateMachine {            if (!context.decimal) {                return INVALID            } else if (c.isDigit()) {                context.exponential = true                return this            } else {                return INVALID            }        }    };    abstract fun next(c: Char, context: ContextData): StateMachine}fun isNumber(s: String): Boolean {    val context = ContextData(false, true)    var stateMachine = StateMachine.START    for (c in s) {        stateMachine = stateMachine.next(c, context)        if (stateMachine == StateMachine.INVALID) {            return false        }    }    return context.decimal && context.exponential}

    66. Plus One

    [Array]

    Given a non-empty array of decimal digits representing a non-negative integer, increment one to the integer.

    The digits are stored such that the most significant digit is at the head of the list, and each element in the array contains a single digit.

    You may assume the integer does not contain any leading zero, except the number 0 itself.

    fun plusOne(digits: IntArray): IntArray {    var carry = 1    for (i in digits.size - 1 downTo 0) {        if (carry == 0) {            break        }        val add = digits[i] + carry        digits[i] = add % 10        carry = add / 10    }    if (carry == 1) {        return IntArray(digits.size + 1){            if (it == 0) {                1            } else {                0            }        }    } else {        return digits    }}

    67. Add Binary

    Given two binary strings a and b, return their sum as a binary string.

    fun addBinary(a: String, b: String): String {    val ret = StringBuilder()    var ia = a.length - 1    var ib = b.length - 1    var carry = '0'    while (true) {        val ca = if (ia >= 0) a[ia--] else '0'        val cb = if (ib >= 0) b[ib--] else '0'        if (ca == cb) {            if (ca == '0') {                ret.append(carry)                carry = '0'            } else {                ret.append(carry)                carry = '1'            }        } else {            if (carry == '1') {                ret.append('0')            } else {                ret.append('1')            }        }        if (ia < 0 && ib < 0) {            if (carry == '1') {                ret.append('1')            }            break        }    }    return ret.reverse().toString()}

    68. Text Justification

    Given an array of words and a width maxWidth, format the text such that each line has exactly maxWidth characters and is fully (left and right) justified.

    You should pack your words in a greedy approach; that is, pack as many words as you can in each line. Pad extra spaces ‘ ‘ when necessary so that each line has exactly maxWidth characters.

    Extra spaces between words should be distributed as evenly as possible. If the number of spaces on a line do not divide evenly between words, the empty slots on the left will be assigned more spaces than the slots on the right.

    For the last line of text, it should be left justified and no extra space is inserted between words.

    Note:

    • A word is defined as a character sequence consisting of non-space characters only.
    • Each word’s length is guaranteed to be greater than 0 and not exceed maxWidth.
    • The input array words contains at least one word.
    fun fullJustify(words: Array<String>, maxWidth: Int): List<String> {    fun appendBlankChars(builder: StringBuilder, n: Int) {        for (i in 1..n) {            builder.append(" ")        }    }    fun processLine(startIndex: Int, endIndex: Int): String {        var totalBlankLen = 0        for (i in startIndex..endIndex) {            totalBlankLen += words[i].length        }        totalBlankLen = maxWidth - totalBlankLen        val intervals = endIndex - startIndex        val lineStr = StringBuilder()        if (intervals == 0) {            lineStr.append(words[startIndex])            appendBlankChars(lineStr, maxWidth - lineStr.length)        } else {            val blanksOfInterval = IntArray(intervals)            var i = 0            while (totalBlankLen > 0) {                blanksOfInterval[i]++                i++                if (i == blanksOfInterval.size) {                    i = 0                }                totalBlankLen--            }            var j = 0            for (i in startIndex..endIndex) {                lineStr.append(words[i])                if (i != endIndex) {                    appendBlankChars(lineStr, blanksOfInterval[j++])                }            }        }        return lineStr.toString()    }    val ret = mutableListOf<String>()    var curLineWidth = 0    var startWordIndex = 0    var endWordIndex = 0    for (wordIndex in 0..words.size - 1) {        curLineWidth = curLineWidth + words[wordIndex].length        if (curLineWidth == maxWidth) {            endWordIndex = wordIndex            ret.add(processLine(startWordIndex, endWordIndex))            curLineWidth = 0            startWordIndex = endWordIndex + 1        } else if (curLineWidth < maxWidth) {            curLineWidth++            continue        } else { //curLineWidth > maxWidth            endWordIndex = wordIndex - 1            ret.add(processLine(startWordIndex, endWordIndex))            startWordIndex = wordIndex            curLineWidth = words[startWordIndex].length + 1        }    }    if (startWordIndex <= words.size - 1) {        val lineStr = StringBuilder()        for (i in startWordIndex..words.size - 1) {            lineStr.append(words[i])            if (i != words.size - 1) {                lineStr.append(" ")            }        }        appendBlankChars(lineStr, maxWidth - lineStr.length)        ret.add(lineStr.toString())    }    return ret}

    69. Sqrt(x)

    Given a non-negative integer x, compute and return the square root of x.

    Since the return type is an integer, the decimal digits are truncated, and only the integer part of the result is returned.

    fun mySqrt(x: Int): Int {    var startVal = 1    var endVal = x    while (startVal <= endVal) {        val mid = startVal + (endVal - startVal) / 2        if (mid > Int.MAX_VALUE / mid) {            endVal = mid - 1            continue        }        val v = mid * mid        if (v == x) {            return mid        } else if (v > x) {            endVal = mid - 1        } else {            startVal = mid + 1        }    }    return endVal}

    Note: 防止溢出操作

    70. Climbing Stairs

    [Dynamic Progroming]

    You are climbing a staircase. It takes n steps to reach the top.

    Each time you can either climb 1 or 2 steps. In how many distinct ways can you climb to the top?

    fun climbStairs(n: Int): Int {  var first = 1  var second = 1  for (i in 2 .. n) {    val tmp = first    first += second    second = tmp  }  return first}

    71. Simplify Path

    Given a string path, which is an absolute path (starting with a slash ‘/‘) to a file or directory in a Unix-style file system, convert it to the simplified canonical path.

    In a Unix-style file system, a period ‘.’ refers to the current directory, a double period ‘..’ refers to the directory up a level, and any multiple consecutive slashes (i.e. ‘//‘) are treated as a single slash ‘/‘. For this problem, any other format of periods such as ‘…’ are treated as file/directory names.

    The canonical path should have the following format:

    • The path starts with a single slash ‘/‘.
    • Any two directories are separated by a single slash ‘/‘.
    • The path does not end with a trailing ‘/‘.
    • The path only contains the directories on the path from the root directory to the target file or directory (i.e., no period ‘.’ or double period ‘..’)

    Return the simplified canonical path.

    enum class PathState {  INIT,  SlashStart,  DotStart,  DotEnd,  CHAR}fun simplifyPath(path: String): String {  var curSlashStart = 0  var state = PathState.INIT  val stack = LinkedList<String>()  for ((index, c) in path.withIndex()) {    if (c == '/') {      if (state == PathState.INIT) {        curSlashStart = index        state = PathState.SlashStart      } else if (state == PathState.DotStart) {        state = PathState.SlashStart        curSlashStart = index      } else if (state == PathState.DotEnd) {        if (!stack.isEmpty()) {          stack.pop()        }        state = PathState.SlashStart        curSlashStart = index      } else if (state == PathState.CHAR) {        stack.push(path.substring(curSlashStart + 1..index - 1))        curSlashStart = index        state = PathState.SlashStart      } else if (state == PathState.SlashStart) {        curSlashStart = index      }    } else if (c == '.') {      if (state == PathState.SlashStart) {        state = PathState.DotStart      } else if (state == PathState.DotStart) {        state = PathState.DotEnd      } else if (state == PathState.DotEnd) {        state = PathState.CHAR      }    } else {      state = PathState.CHAR    }  }  if (state == PathState.DotEnd) {    if (stack.isNotEmpty()) {      stack.pop()    }  } else if (state == PathState.CHAR) {    stack.push(path.substring(curSlashStart + 1..path.length - 1))  }  val ret = StringBuilder()  ret.append("/")  while (stack.isNotEmpty()) {    ret.append(stack.removeLast())    ret.append("/")  }  if (ret.length > 1) {    ret.deleteCharAt(ret.length - 1)  }  return ret.toString()}

    72. Edit Distance

    Given two strings word1 and word2, return the minimum number of operations required to convert word1 to word2.

    You have the following three operations permitted on a word:

    • Insert a character
    • Delete a character
    • Replace a character
    fun minDistance(word1: String, word2: String): Int {    val A = word1.length    val B = word2.length    if (A * B == 0) {        return A + B    }    val dp = Array(A + 1) { IntArray(B + 1) }    for (i in 0 .. A) {        dp[i][0] = i    }    for (i in 0 .. B) {        dp[0][i] = i    }    for (i in 1 .. A) {        for (j in 1 ..B) {            dp[i][j] = Math.min(dp[i - 1][j] + 1, dp[i][j - 1] + 1)            if (word1[i - 1] == word2[j - 1]) {                dp[i][j] = Math.min(dp[i - 1][j - 1], dp[i][j])            } else {                dp[i][j] = Math.min(dp[i - 1][j - 1] + 1, dp[i][j])            }        }    }    return dp[A][B]}

    73. Set Matrix Zeroes

    Given an m x n matrix. If an element is 0, set its entire row and column to 0. Do it in-place.

    Follow up:

    • A straight forward solution using O(mn) space is probably a bad idea.
    • A simple improvement uses O(m + n) space, but still not the best solution.
    • Could you devise a constant space solution?
    fun setZeroes(matrix: Array<IntArray>): Unit {    val m = matrix.size    val n = matrix[0].size    var row0Zero = false    var col0Zero = false    for (i in 0..m - 1) {        if (matrix[i][0] == 0) {            col0Zero = true            break        }    }    for (i in 0..n - 1) {        if (matrix[0][i] == 0) {            row0Zero = true            break        }    }    for (i in 1..m - 1) {        for (j in 1..n - 1) {            if (matrix[i][j] == 0) {                matrix[0][j] = 0                matrix[i][0] = 0            }        }    }    for (i in 1..m - 1) {        for (j in 1..n - 1) {            if (matrix[0][j] == 0 || matrix[i][0] == 0) {                matrix[i][j] = 0            }        }    }    if (col0Zero) {        for (i in 0..m - 1) {            matrix[i][0] = 0        }    }    if (row0Zero) {        for (i in 0..n - 1) {            matrix[0][i] = 0        }    }}

    Note: O(1)空间

    74. Search a 2D Matrix

    Write an efficient algorithm that searches for a value in an m x n matrix. This matrix has the following properties:

    • Integers in each row are sorted from left to right.
    • The first integer of each row is greater than the last integer of the previous row.
    fun searchMatrix(matrix: Array<IntArray>, target: Int): Boolean {    val m = matrix.size    val n = matrix[0].size    var start = 0    var end = m * n - 1    while (start <= end) {        val mid = (start + end) / 2        val midVal = matrix[mid / n][mid % n]        if (target == midVal) {            return true        } else if (target > midVal) {            start = mid + 1        } else {            end = mid - 1        }    }    return false}
    75. Sort Colors

    Given an array nums with n objects colored red, white, or blue, sort them in-place so that objects of the same color are adjacent, with the colors in the order red, white, and blue.

    We will use the integers 0, 1, and 2 to represent the color red, white, and blue, respectively.

    //counter sortfun sortColors(nums: IntArray): Unit {    val counter = IntArray(3)    for (v in nums) {        counter[v]++    }    var i = 0    for ((index, c) in counter.withIndex()) {        for (ci in 1..c) {            nums[i++] = index        }    }}//two pointerfun sortColors(nums: IntArray): Unit {    fun swap(i: Int, j: Int) {        val tmp = nums[i]        nums[i] = nums[j]        nums[j] = tmp    }    var left = 0    var right = nums.size - 1    var i = 0    while (i <= right) {        if (nums[i] == 0) {            swap(i, left)            left++        } else if (nums[i] == 2) {            swap(i, right)            right--            if (nums[i] != 1) {                i--            }        }        i++    }}

    76. Minimum Window Substring

    [Sliding Window | Hash Table | Two Pointers]

    Given two strings s and t, return the minimum window in s which will contain all the characters in t. If there is no such window in s that covers all characters in t, return the empty string “”.

    Note that If there is such a window, it is guaranteed that there will always be only one unique minimum window in s.

    fun minWindow(s: String, t: String): String {    val tMap = mutableMapOf<Char, Int>()    for (c in t) {        tMap[c] = tMap.getOrDefault(c, 0) + 1    }    var found =  false    var minStartIndex = 0    var minEndIndex = s.length - 1    var startIndex = 0    var endIndex = 0    var count = t.length    while (endIndex < s.length) {        val endEntryCnt = tMap.get(s[endIndex])        if (endEntryCnt != null) {            tMap.put(s[endIndex], endEntryCnt - 1)            if (endEntryCnt > 0) {                count--            }        }        while (count == 0) {            found = true            if (endIndex - startIndex < minEndIndex - minStartIndex) {                minStartIndex = startIndex                minEndIndex = endIndex            }            val startEntryCnt = tMap.get(s[startIndex])            if (startEntryCnt != null) {                tMap.put(s[startIndex], startEntryCnt + 1)                if (startEntryCnt + 1 > 0) {                    count++                }            }            startIndex++        }        endIndex++    }    return if (found) s.substring(minStartIndex..minEndIndex) else ""}

    Note: 注意t会有重复的子串

    77. Combinations

    Given two integers n and k, return all possible combinations of k numbers out of the range [1, n].

    You may return the answer in any order.

    val ret8 = mutableListOf<List<Int>>()fun combine(n: Int, k: Int): List<List<Int>> {    combineRecur(n, 1, k, mutableListOf())    return ret8}fun combineRecur(n: Int, start:Int, k: Int, path: MutableList<Int>){    if (k == 0) {        ret8.add(ArrayList(path))        return    }    for (i in start..n) {        path.add(i)        combineRecur(n, i + 1, k - 1, path)        path.removeAt(path.size - 1)    }}

    78. Subsets

    Given an integer array nums of unique elements, return all possible subsets (the power set).

    The solution set must not contain duplicate subsets. Return the solution in any order.

    val ret10 = mutableListOf<List<Int>>()fun subsets(nums: IntArray): List<List<Int>> {    subsetsRecur(nums, 0, mutableListOf())    return ret10}fun subsetsRecur(nums: IntArray, start: Int, path: MutableList<Int>) {    ret10.add(ArrayList(path))    if (start == nums.size || path.size == nums.size) {        return    }    for (i in start..nums.size - 1) {        path.add(nums[i])        subsetsRecur(nums, i + 1, path)        path.removeAt(path.size - 1)    }}

    Given an m x n grid of characters board and a string word, return true if word exists in the grid.

    The word can be constructed from letters of sequentially adjacent cells, where adjacent cells are horizontally or vertically neighboring. The same letter cell may not be used more than once.

    fun exist(board: Array<CharArray>, word: String): Boolean {    val visited = Array(board.size){BooleanArray(board[0].size)}    for (i in 0..board.size - 1) {        for (j in 0..board[0].size - 1) {            if (existRecur(i, j, board, word, 0, visited)) {                return true            }        }    }    return false}fun existRecur(i: Int, j:Int, board: Array<CharArray>, word: String, wordCur: Int, visited: Array<BooleanArray>): Boolean {    if (i < 0 || i > board.size - 1 || j < 0 || j > board[0].size - 1 || visited[i][j] ||board[i][j] != word[wordCur]) {        return false    }    visited[i][j] = true    if (wordCur == word.length - 1) {        return true    }    if (existRecur(i, j - 1, board, word, wordCur + 1, visited)) {        return true    }    if (existRecur(i, j + 1, board, word, wordCur + 1, visited)) {        return true    }    if (existRecur(i - 1, j, board, word, wordCur + 1, visited)) {        return true    }    if (existRecur(i + 1, j, board, word, wordCur + 1, visited)) {        return true    }    visited[i][j] = false    return false}

    80. Remove Duplicates from Sorted Array II

    Given a sorted array nums, remove the duplicates in-place such that duplicates appeared at most twice and return the new length.

    Do not allocate extra space for another array; you must do this by modifying the input array in-place with O(1) extra memory.

    Clarification:

    Confused why the returned value is an integer, but your answer is an array?

    Note that the input array is passed in by reference, which means a modification to the input array will be known to the caller.

    Internally you can think of this:

    // nums is passed in by reference. (i.e., without making a copy)
    int len = removeDuplicates(nums);

    // any modification to nums in your function would be known by the caller.
    // using the length returned by your function, it prints the first len elements.
    for (int i = 0; i < len; i++) {
    print(nums[i]);
    }

    fun removeDuplicates(nums: IntArray): Int {    if (nums.size <= 2) {        return 2    }    nums.sort()    var slow = 2    for (fast in 2..nums.size - 1) {        if (nums[slow - 2] != nums[fast]) {            nums[slow] = nums[fast]            slow++        }    }    return slow}

    Note: 移动慢指针条件; 和慢指针前两个元素对比

    81. Search in Rotated Sorted Array II

    There is an integer array nums sorted in non-decreasing order (not necessarily with distinct values).

    Before being passed to your function, nums is rotated at an unknown pivot index k (0 <= k < nums.length) such that the resulting array is [nums[k], nums[k+1], …, nums[n-1], nums[0], nums[1], …, nums[k-1]] (0-indexed). For example, [0,1,2,4,4,4,5,6,6,7] might be rotated at pivot index 5 and become [4,5,6,6,7,0,1,2,4,4].

    Given the array nums after the rotation and an integer target, return true if target is in nums, or false if it is not in nums.

    fun search(nums: IntArray, target: Int): Boolean {    var start = 0    var end = nums.size - 1    while (start <= end) {        val mid = (start + end) / 2        if (nums[mid] == target) {            return true        } else {            if (nums[mid] == nums[start] && nums[mid] == nums[end]) {                start++                end--            } else  if (nums[mid] <= nums[end]) {//right sorted                if (target > nums[mid] && target <= nums[end]) {                    start = mid + 1                } else {                    end = mid - 1                }            } else if (nums[mid] >= nums[start]) {//left sorted                if (target >= nums[start] && target < nums[mid]) {                    end = mid - 1                } else {                    start = mid + 1                }            }        }    }    return false}

    82. Remove Duplicates from Sorted List II

    Given the head of a sorted linked list, delete all nodes that have duplicate numbers, leaving only distinct numbers from the original list. Return the linked list sorted as well.

    fun deleteDuplicates(head: ListNode?): ListNode? {    val dummyNode = ListNode(0, head)    var pre = dummyNode    var cur = head    while (cur != null) {        if (cur.`val` == cur.next?.`val`) {            var tmp = cur            while (tmp != null && tmp.`val` == tmp.next?.`val`) {                tmp = tmp.next            }            cur = tmp?.next            pre.next = cur        } else {            pre = cur            cur = cur.next        }    }    return dummyNode.next}

    83. Remove Duplicates from Sorted List

    Given the head of a sorted linked list, delete all duplicates such that each element appears only once. Return the linked list sorted as well.

    fun deleteDuplicates(head: ListNode?): ListNode? {    var cur = head    while (cur?.next != null) {        if (cur.`val` == cur.next?.`val`) {            cur.next = cur.next?.next        } else {            cur = cur.next        }    }    return head}

    !!!先跳过Hard….

    86. Partition List

    Given the head of a linked list and a value x, partition it such that all nodes less than x come before nodes greater than or equal to x.

    You should preserve the original relative order of the nodes in each of the two partitions.

    fun partition(head: ListNode?, x: Int): ListNode? {    val dummyHeadLeft = ListNode(0)    var curLeft = dummyHeadLeft    val dummyHeadRight = ListNode(0)    var curRight = dummyHeadRight    var cur = head    while (cur != null) {        if (cur.`val` < x) {            curLeft.next = cur            curLeft = cur        } else{            curRight.next = cur            curRight = cur        }        cur = cur.next    }    //merge two list    curRight.next = null    curLeft.next = dummyHeadRight.next    return dummyHeadLeft.next}

    Note: 注意出现循环链表

    88. Merge Sorted Array

    Given two sorted integer arrays nums1 and nums2, merge nums2 into nums1 as one sorted array.

    The number of elements initialized in nums1 and nums2 are m and n respectively. You may assume that nums1 has a size equal to m + n such that it has enough space to hold additional elements from nums2.

    fun merge(nums1: IntArray, m: Int, nums2: IntArray, n: Int): Unit {    if (n <=0) {        return    }    var cur = nums1.size - 1    var p1 = m - 1    var p2 = n - 1    while (p1 >= 0 && p2 >= 0) {        if (nums1[p1] > nums2[p2]) {            nums1[cur--] = nums1[p1--]        } else {            nums1[cur--] = nums2[p2--]        }    }    while (p2 >= 0) {        nums1[cur--] = nums2[p2--]    }}

    89. Gray Code

    The gray code is a binary numeral system where two successive values differ in only one bit.

    Given an integer n representing the total number of bits in the code, return any sequence of gray code.

    A gray code sequence must begin with 0.

    val grayCodeRet = mutableListOf<Int>()fun grayCode(n: Int): List<Int> {    val path = StringBuilder()    grayCodeRecur(0, n, true, path)    path.deleteCharAt(path.length - 1)    grayCodeRecur(1, n, false, path)    //println(grayCodeRet)    return grayCodeRet}fun grayCodeRecur(cur: Int, n: Int, left: Boolean, path: StringBuilder) {    path.append(cur)    if (path.length >= n) {        grayCodeRet.add(Integer.parseInt(path.toString(), 2))        return    }    if (left) {        grayCodeRecur(0, n, true, path)        path.deleteCharAt(path.length - 1)        grayCodeRecur(1, n, false, path)        path.deleteCharAt(path.length - 1)    } else {        grayCodeRecur(1, n, true, path)        path.deleteCharAt(path.length - 1)        grayCodeRecur(0, n, false, path)        path.deleteCharAt(path.length - 1)    }}

    90. Subsets II

    Given an integer array nums that may contain duplicates, return all possible subsets (the power set).

    The solution set must not contain duplicate subsets. Return the solution in any order.

    val ret11 = mutableListOf<List<Int>>()fun subsetsWithDup(nums: IntArray): List<List<Int>> {    nums.sort()    subsetsWithDupRecur(nums, 0, mutableListOf())    return ret11}fun subsetsWithDupRecur(nums: IntArray, start: Int, path: MutableList<Int>) {    ret11.add(ArrayList(path))    if (start >= nums.size) {        return    }    for (i in start..nums.size - 1) {        if (i > start && nums[i] == nums[i - 1]) {            continue        }        path.add(nums[i])        subsetsWithDupRecur(nums, i + 1, path)        path.removeAt(path.size - 1)    }}

    91. Decode Ways

    A message containing letters from A-Z can be encoded into numbers using the following mapping:

    ‘A’ -> “1”
    ‘B’ -> “2”

    ‘Z’ -> “26”

    To decode an encoded message, all the digits must be grouped then mapped back into letters using the reverse of the mapping above (there may be multiple ways). For example, “11106” can be mapped into:

    "AAJF" with the grouping (1 1 10 6)"KJF" with the grouping (11 10 6)

    Note that the grouping (1 11 06) is invalid because “06” cannot be mapped into ‘F’ since “6” is different from “06”.

    Given a string s containing only digits, return the number of ways to decode it.

    The answer is guaranteed to fit in a 32-bit integer.

    fun numDecodings(s: String): Int {    val dp = IntArray(s.length + 1)    dp[0] = 1    for (i in 0..s.length - 1) {        if (s[i] != '0') {            dp[i + 1] = dp[i]        }        if (i > 0 && s[i - 1] != '0' && ((s[i - 1] - '0') * 10 + (s[i] - '0')) <= 26) {            dp[i + 1] += dp[i - 1]        }    }    return dp[s.length]}

    92. Reverse Linked List II

    Given the head of a singly linked list and two integers left and right where left <= right, reverse the nodes of the list from position left to position right, and return the reversed list.

    fun reverseBetween(head: ListNode?, left: Int, right: Int): ListNode? {    val dummyHead = ListNode(0)    dummyHead.next = head    var cur = head    var i = 1    var before: ListNode? = null    while (i < left) {        before = cur        cur = cur?.next        i++    }    val rangeTail = cur    var after = cur    var pre: ListNode? = null    while (cur != null && i <= right) {        val next = cur.next        cur.next = pre        pre = cur        cur = next        i++        after = next    }    val rangeHead = pre    before?.next = rangeHead    rangeTail?.next = after    if (before == null) {        return rangeHead    } else {        return dummyHead.next    }}

    93. Restore IP Addresses

    Given a string s containing only digits, return all possible valid IP addresses that can be obtained from s. You can return them in any order.

    A valid IP address consists of exactly four integers, each integer is between 0 and 255, separated by single dots and cannot have leading zeros. For example, “0.1.2.201” and “192.168.1.1” are valid IP addresses and “0.011.255.245”, “192.168.1.312” and “192.168@1.1“ are invalid IP addresses.

    val ret = mutableListOf<String>()fun restoreIpAddresses(s: String): List<String> {    restoreIpAddressesRecur(s, 0, mutableListOf())    return ret}fun restoreIpAddressesRecur(s: String, start: Int, path: MutableList<String>) {    if (path.size == 4 && start == s.length) {        val builder = StringBuilder()        for (it in path) {            builder.append(it).append('.')        }        builder.deleteCharAt(builder.length - 1)        ret.add(builder.toString())        return    }    for (i in start .. s.length - 1) {        if (path.size == 3 && (s.length - 1 - start) > 3) {            break        }        if (i - start > 0 && s[start] == '0') {            break        }        val item = s.subSequence(start .. i).toString()        if (Integer.parseInt(item) > 255) {            break        }        path.add(item)        restoreIpAddressesRecur(s, i + 1, path)        path.removeAt(path.size - 1)    }}

    94. Binary Tree Inorder Traversal

    Given the root of a binary tree, return the inorder traversal of its nodes’ values.

    //递归fun inorderTraversal(root: TreeNode?): List<Int> {    val ret = mutableListOf<Int>()    inorderTraversalRecur(root, ret)    return ret}fun inorderTraversalRecur(node: TreeNode?, path: MutableList<Int>) {    if (node == null) {        return    }    inorderTraversalRecur(node.left, path)    path.add(node.`val`)    inorderTraversalRecur(node.right, path)}//迭代fun inorderTraversal(root: TreeNode?): List<Int> {    val ret = mutableListOf<Int>()    val stack: Deque<TreeNode> = LinkedList<TreeNode>()    var cur = root    while (cur != null || stack.isNotEmpty()) {        while (cur != null) {            stack.push(cur)            cur = cur.left        }        cur = stack.pop()        ret.add(cur.`val`)        cur = cur.right    }    return ret}

    95. Unique Binary Search Trees II

    Given an integer n, return all the structurally unique BST’s (binary search trees), which has exactly n nodes of unique values from 1 to n. Return the answer in any order.

    fun generateTrees(n: Int): List<TreeNode?> {    return generateTreesInternal(IntArray(n) {        it + 1    }, 0, n - 1)}fun generateTreesInternal(arr: IntArray, start: Int, end: Int): List<TreeNode?> {    val ret = mutableListOf<TreeNode?>()    if (start > end) {        ret.add(null)        return ret    }    for (i in start..end) {        val leftTrees = generateTreesInternal(arr, start, i - 1)        val rightTrees = generateTreesInternal(arr, i + 1, end)        for (left in leftTrees) {            for (right in rightTrees) {                val root = TreeNode(arr[i])                root.left = left                root.right = right                ret.add(root)            }        }    }    return ret}

    96. Unique Binary Search Trees

    Given an integer n, return the number of structurally unique BST’s (binary search trees) which has exactly n nodes of unique values from 1 to n.

    //Divide Conquerfun numTrees(n: Int): Int {    return numTreesRecur(1, n)}fun numTreesRecur(start: Int, end: Int) : Int{    var ret = 0    if (start > end) {        return 1    }    for (i in start..end) {        val leftNum = numTreesRecur(start, i - 1)        val rightNum = numTreesRecur(i + 1, end)        ret += leftNum * rightNum    }    return ret}//Dynamic Programingfun numTrees(n: Int): Int {    val G = IntArray(n + 1)    G[0] = 1    G[1] = 1    for (i in 2 .. n) {        for (k in 1..i) {            G[i] += G[k - 1] * G [i - k]        }    }    return G[n]}

    Note: DP的状态转移方程可以从分治推导出来

    97. Interleaving String

    Given strings s1, s2, and s3, find whether s3 is formed by an interleaving of s1 and s2.

    An interleaving of two strings s and t is a configuration where they are divided into non-empty substrings such that:

    • s = s1 + s2 + … + sn
    • t = t1 + t2 + … + tm
    • |n - m| <= 1
    • The interleaving is s1 + t1 + s2 + t2 + s3 + t3 + … or t1 + s1 + t2 + s2 + t3 + s3 + …

    Note: a + b is the concatenation of strings a and b.

    //递归超时.....:fun isInterleave(s1: String, s2: String, s3: String): Boolean {    return isInterleave(s1, s1.length - 1, s2, s2.length - 1, s3, s3.length - 1)}fun isInterleave(s1: String, i1: Int, s2: String, i2: Int, s3: String, i3: Int): Boolean {    if (i1 < 0 && i2 < 0 && i3 < 0) {        return true    }        if (i1 >=0 && i3 >= 0 && s1[i1] == s3[i3] && isInterleave(s1, i1 - 1, s2, i2, s3, i3 - 1)) {        return true    } else if (i2 >= 0 && i3 >= 0 && s2[i2] == s3[i3] && isInterleave(s1, i1, s2, i2 - 1, s3, i3 - 1)) {        return true    } else {        return false    }}//DP:fun isInterleave(s1: String, s2: String, s3: String): Boolean {    if (s1.length + s2.length != s3.length) {        return false    }    val dp = Array(s1.length + 1) {BooleanArray(s2.length + 1)}    dp[0][0] = true    for (i in 0 .. s1.length) {        for (j in 0 .. s2.length) {            if (i > 0 && s3[i + j - 1] == s1[i - 1] && dp[i - 1][j]) {                dp[i][j] = true            }            if (j > 0 && s3[i + j - 1] == s2[j - 1] && dp[i][j - 1]) {                dp[i][j] = true            }        }    }    return dp[s1.length][s2.length]}

    98. Validate Binary Search Tree

    Given the root of a binary tree, determine if it is a valid binary search tree (BST).

    A valid BST is defined as follows:

    • The left subtree of a node contains only nodes with keys less than the node’s key.
    • The right subtree of a node contains only nodes with keys greater than the node’s key.
    • Both the left and right subtrees must also be binary search trees.
    //递归:var pre: Int? = nullfun isValidBST(root: TreeNode?): Boolean {    if (root == null) {        return true    }    if (!isValidBST(root.left)) {        return false    }    println(root.`val`)    if (pre != null && root.`val` <= pre!!) {        return false    } else {        pre = root.`val`        return isValidBST(root.right)    }}//迭代fun isValidBST(root: TreeNode?): Boolean {    var pre: Int? = null    val stack = LinkedList<TreeNode>()    var cur = root    while (cur != null || stack.isNotEmpty()) {        while (cur != null) {            stack.push(cur)            cur = cur.left        }        val top = stack.pop()        if (pre != null && top.`val` <= pre) {            return false        } else {            pre = top.`val`        }        cur = top.right    }    return true}

    100. Same Tree

    Given the roots of two binary trees p and q, write a function to check if they are the same or not.

    Two binary trees are considered the same if they are structurally identical, and the nodes have the same value.

    fun isSameTree(p: TreeNode?, q: TreeNode?): Boolean {    if (p?.`val` != q?.`val`) {        return false    }    if (p == null && q == null) {        return true    }    return isSameTree(p?.left, q?.left) && isSameTree(p?.right, q?.right)}

    101. Symmetric Tree

    Given the root of a binary tree, check whether it is a mirror of itself (i.e., symmetric around its center).

    fun isSymmetric(root: TreeNode?): Boolean {    return isSymmetricRecur(root?.left, root?.right)}fun isSymmetricRecur(L: TreeNode?, R: TreeNode?): Boolean {    if (L == null && R == null) {        return true    } else if (L == null || R == null) {        return false    }    if (L.`val` != R.`val`) {        return false    }    if (!isSymmetricRecur(L.left, R.right)) {        return false    }    if (!isSymmetricRecur(L.right, R.left)) {        return false    }    return true}

    102. Binary Tree Level Order Traversal

    Given the root of a binary tree, return the level order traversal of its nodes’ values. (i.e., from left to right, level by level).

    fun levelOrder(root: TreeNode?): List<List<Int>> {    val ret = mutableListOf<List<Int>>()    if (root == null) {        return ret    }    val queue: Queue<TreeNode> = LinkedList()    queue.offer(root)    var curLevelCnt = 1    var nextLevelCnt = 0    var tmpList = mutableListOf<Int>()    while (queue.isNotEmpty()) {        val node: TreeNode = queue.remove()        tmpList.add(node.`val`)        curLevelCnt--        if (node.left != null) {            queue.offer(node.left)            nextLevelCnt++        }        if (node.right != null) {            queue.offer(node.right)            nextLevelCnt++        }        if (curLevelCnt == 0) {            ret.add(tmpList)            tmpList = mutableListOf()            curLevelCnt = nextLevelCnt            nextLevelCnt = 0        }    }    return ret}

    103. Binary Tree Zigzag Level Order Traversal

    Given the root of a binary tree, return the zigzag level order traversal of its nodes’ values. (i.e., from left to right, then right to left for the next level and alternate between).

        fun zigzagLevelOrder(root: TreeNode?): List<List<Int>> {        val ret = mutableListOf<List<Int>>()        if (root == null) {            return ret        }        val queue: Queue<TreeNode> = LinkedList()        queue.offer(root)        var curLevelCnt = 1        var nextLevelCnt = 0        var level = 0        var tmpList = mutableListOf<Int>()        while (queue.isNotEmpty()) {            val node: TreeNode = queue.remove()            tmpList.add(node.`val`)            curLevelCnt--            if (node.left != null) {                queue.offer(node.left)                nextLevelCnt++            }            if (node.right != null) {                queue.offer(node.right)                nextLevelCnt++            }            if (curLevelCnt == 0) {                if (level % 2 == 1) {                    ret.add(tmpList.reversed())                } else {                    ret.add(tmpList)                }                level++                tmpList = mutableListOf()                curLevelCnt = nextLevelCnt                nextLevelCnt = 0            }        }        return ret    }

    104. Maximum Depth of Binary Tree

    Given the root of a binary tree, return its maximum depth.

    A binary tree’s maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.

    fun maxDepth(root: TreeNode?): Int {    return maxDepthRecur(root, 0)}fun maxDepthRecur(root: TreeNode?, level: Int): Int {    if (root == null) {        return level    }    return Math.max(maxDepthRecur(root.left, level + 1),            maxDepthRecur(root.right, level + 1))}

    105. Construct Binary Tree from Preorder and Inorder Traversal

    Given two integer arrays preorder and inorder where preorder is the preorder traversal of a binary tree and inorder is the inorder traversal of the same tree, construct and return the binary tree.

    fun buildTree(preorder: IntArray, inorder: IntArray): TreeNode? {    val inorderIndexMap = mutableMapOf<Int, Int>()    for ((index, value) in inorder.withIndex()) {        inorderIndexMap[value] = index    }    return buildTreeHelper(0, preorder.size - 1, 0, inorder.size - 1, preorder, inorderIndexMap)}fun buildTreeHelper(pL: Int, pR: Int, iL: Int, iR: Int, preorder: IntArray, inorderIndexMap: Map<Int, Int>): TreeNode? {    if (pL > pR || iL > iR) {        return null    }    val iIndex: Int? = inorderIndexMap.get(preorder[pL])    val root = TreeNode(preorder[pL])    iIndex!!    root.left = buildTreeHelper(pL + 1, pL + iIndex - iL, iL, iIndex - 1, preorder, inorderIndexMap)    root.right = buildTreeHelper(pR - (iR - iIndex) + 1, pR, iIndex + 1, iR, preorder, inorderIndexMap)    return root}

    Note: 利用中序遍历确定左右子树的范围

    106. Construct Binary Tree from Inorder and Postorder Traversal

    Given two integer arrays inorder and postorder where inorder is the inorder traversal of a binary tree and postorder is the postorder traversal of the same tree, construct and return the binary tree.

    fun buildTree(inorder: IntArray, postorder: IntArray): TreeNode? {    val inorderMap = mutableMapOf<Int, Int>()    for ((index, value) in inorder.withIndex()) {        inorderMap[value] = index    }    return buildTreeHelper(0, postorder.size - 1, 0, inorder.size - 1, postorder, inorderMap)}fun buildTreeHelper(pL: Int, pR: Int, iL: Int, iR: Int, postorder: IntArray, inorderMap: Map<Int, Int>): TreeNode? {    if (pL > pR || iL > iR) {        return null    }    val root = TreeNode(postorder[pR])    val index = inorderMap[root.`val`]    index!!    root.left = buildTreeHelper(pL, pL + (index - iL) - 1, iL, index - 1, postorder, inorderMap)    root.right = buildTreeHelper(pL + (index - iL), pR - 1, index + 1, iR, postorder, inorderMap)    return root}

    107.Binary Tree Level Order Traversal II

    Given the root of a binary tree, return the bottom-up level order traversal of its nodes’ values. (i.e., from left to right, level by level from leaf to root).

    fun levelOrderBottom(root: TreeNode?): List<List<Int>> {  val ret = mutableListOf<List<Int>>()  if (root == null) {    return ret  }  val queue = LinkedList<TreeNode>()  queue.offer(root)  var currentLevelCnt = 1  var nextLevelCnt = 0  var tmpList = mutableListOf<Int>()  while (queue.isNotEmpty()) {    val node = queue.remove()    tmpList.add(node.`val`)    currentLevelCnt--    if (node.left != null) {      queue.offer(node.left)      nextLevelCnt++    }    if (node.right != null) {      queue.offer(node.right)      nextLevelCnt++    }    if (currentLevelCnt == 0) {      currentLevelCnt = nextLevelCnt      nextLevelCnt = 0      ret.add(tmpList)      tmpList = mutableListOf()    }  }  ret.reverse()  return ret}

    108. Convert Sorted Array to Binary Search Tree

    Given an integer array nums where the elements are sorted in ascending order, convert it to a height-balanced binary search tree.

    A height-balanced binary tree is a binary tree in which the depth of the two subtrees of every node never differs by more than one.

    fun sortedArrayToBST(nums: IntArray): TreeNode? {    return sortedArrayToBSTHelper(nums, 0, nums.size - 1)}fun sortedArrayToBSTHelper(nums: IntArray, start: Int, end: Int): TreeNode? {    if (start > end) {        return null    }    val mid = (start + end) / 2    val root = TreeNode(nums[mid])    root.left = sortedArrayToBSTHelper(nums, start, mid - 1)    root.right = sortedArrayToBSTHelper(nums, mid + 1, end)    return root}

    109. Convert Sorted List to Binary Search Tree

    Given the head of a singly linked list where elements are sorted in ascending order, convert it to a height balanced BST.

    For this problem, a height-balanced binary tree is defined as a binary tree in which the depth of the two subtrees of every node never differ by more than 1.

    fun sortedListToBST(head: ListNode?): TreeNode? {    val list = mutableListOf<Int>()    var tmp = head    while (tmp != null) {        list.add(tmp.`val`)        tmp = tmp.next    }    return sortedListToBSTHelper(list, 0, list.size - 1)}fun sortedListToBSTHelper(list: List<Int>, start: Int, end: Int): TreeNode? {    if (start > end) {        return null    }    val mid = (start + end) / 2    val root = TreeNode(list[mid])    root.left = sortedListToBSTHelper(list, start, mid - 1)    root.right = sortedListToBSTHelper(list, mid + 1, end)    return root}

    110. Balanced Binary Tree

    Given a binary tree, determine if it is height-balanced.

    For this problem, a height-balanced binary tree is defined as:

    • a binary tree in which the left and right subtrees of every node differ in height by no more than 1.
    fun isBalanced(root: TreeNode?): Boolean {    return isBalancedHelper(root, 0) >= 0}fun isBalancedHelper(root: TreeNode?, level: Int): Int {    if (root == null) {        return level    }    val leftLevel = isBalancedHelper(root.left, level + 1)    val rightLevel = isBalancedHelper(root.right, level + 1)    if (leftLevel == -1 || rightLevel == -1 || Math.abs(leftLevel - rightLevel) > 1) {        return -1    } else {        return Math.max(leftLevel, rightLevel)    }}

    111. Minimum Depth of Binary Tree

    Given a binary tree, find its minimum depth.

    The minimum depth is the number of nodes along the shortest path from the root node down to the nearest leaf node.

    Note: A leaf is a node with no children.

    fun minDepth(root: TreeNode?): Int {    if (root == null) {        return 0    }    return minDepthHelper(root, 1)}fun minDepthHelper(root: TreeNode?, level: Int): Int {    if (root?.left == null && root?.right == null) {        return level    }    if (root.left == null) {        return minDepthHelper(root.right, level + 1)    } else if (root.right == null){        return minDepthHelper(root.left, level + 1)    } else  {        return Math.min(minDepthHelper(root.right, level + 1), minDepthHelper(root.left, level + 1))    }}

    112. Path Sum

    Given the root of a binary tree and an integer targetSum, return true if the tree has a root-to-leaf path such that adding up all the values along the path equals targetSum.

    A leaf is a node with no children.

    fun hasPathSum(root: TreeNode?, targetSum: Int): Boolean {    if (root == null) {        return false    }    return hasPathSumHelper(root, root.`val`, targetSum)}fun hasPathSumHelper(root: TreeNode, curSum: Int, targetSum: Int): Boolean {    if (root.left == null && root.right == null) {        if (curSum == targetSum) {            return true        }    }    var ret = false    root.left?.also {        ret = ret or hasPathSumHelper(it, curSum + it.`val`, targetSum)    }    root.right?.also {        ret = ret or hasPathSumHelper(it, curSum + it.`val`, targetSum)    }    return ret}

    113. Path Sum II

    Given the root of a binary tree and an integer targetSum, return all root-to-leaf paths where each path’s sum equals targetSum.

    A leaf is a node with no children.

    fun pathSum(root: TreeNode?, targetSum: Int): List<List<Int>> {    val ret = mutableListOf<List<Int>>()    if (root == null) {        return ret    }    val backtrace = mutableListOf<Int>()    backtrace.add(root.`val`)    pathSumHelper(root, targetSum, root.`val`, backtrace, ret)    return ret}fun pathSumHelper(root: TreeNode, targetSum: Int, curSum: Int,                    backtrace: MutableList<Int>, ret: MutableList<List<Int>>) {    if (root.left == null && root.right == null) {        if (targetSum == curSum) {            ret.add(backtrace.toList())            return        }    }    root.left?.also {        backtrace.add(it.`val`)        pathSumHelper(it, targetSum, curSum + it.`val`, backtrace, ret)        backtrace.removeAt(backtrace.lastIndex)    }    root.right?.also {        backtrace.add(it.`val`)        pathSumHelper(it, targetSum, curSum + it.`val`, backtrace, ret)        backtrace.removeAt(backtrace.lastIndex)    }}

    114. Flatten Binary Tree to Linked List

    Given the root of a binary tree, flatten the tree into a “linked list”:

    • The “linked list” should use the same TreeNode class where the right child pointer points to the next node in the list and the left child pointer is always null.

    • The “linked list” should be in the same order as a pre-order traversal of the binary tree.

    fun flatten(root: TreeNode?): Unit {    flattenHelper(root)}fun flattenHelper(root: TreeNode?): TreeNode? {    if (root == null) {        return null    }    val R = root.right    root.right = flattenHelper(root.left)    root.left = null    var tmp: TreeNode = root    while (tmp.right != null) {        tmp = tmp.right!!    }    tmp.right = flattenHelper(R)    return root}

    116. Populating Next Right Pointers in Each Node

    You are given a perfect binary tree where all leaves are on the same level, and every parent has two children. The binary tree has the following definition:

    struct Node {
    int val;
    Node left;
    Node
    right;
    Node *next;
    }

    Populate each next pointer to point to its next right node. If there is no next right node, the next pointer should be set to NULL.

    Initially, all next pointers are set to NULL.

    Follow up:

    • You may only use constant extra space.
    • Recursive approach is fine, you may assume implicit stack space does not count as extra space for this problem.
    fun connect(root: Node?): Node? {    if (root == null) {        return null    }    val queue = LinkedList<Node>()    queue.offer(root)    var curentLevelCnt = 1    var nextLevelCnt = 0    var lastNode: Node? = null    while (queue.isNotEmpty()) {        val node = queue.remove()        if (lastNode != null) {            lastNode.next = node        }        lastNode = node        curentLevelCnt--        if (node.left != null) {            queue.offer(node.left)            nextLevelCnt++        }        if (node.right != null) {            queue.offer(node.right)            nextLevelCnt++        }        if (curentLevelCnt == 0) {            lastNode = null            curentLevelCnt = nextLevelCnt            nextLevelCnt = 0        }    }    return root}

    117. Populating Next Right Pointers in Each Node II

    Same as 116

    118. Pascal’s Triangle

    Given an integer numRows, return the first numRows of Pascal’s triangle.

    fun generate(numRows: Int): List<List<Int>> {    val ret = mutableListOf<List<Int>>()    if (numRows == 0) {        return ret    }    ret.add(listOf(1))    if (numRows == 1) {        return ret    }    ret.add(listOf(1,1))    for (i in 2 .. numRows - 1) {        val tmp = mutableListOf<Int>()        tmp.add(1)        for (k in 1 .. i - 1) {            tmp.add(ret[i - 1][k - 1] + ret[i - 1][k])        }        tmp.add(1)        ret.add(tmp)    }    return ret}

    119. Pascal’s Triangle II

    Given an integer rowIndex, return the rowIndexth (0-indexed) row of the Pascal’s triangle.

    fun getRow(rowIndex: Int): List<Int> {    val dpArray = IntArray(rowIndex + 1)    if (rowIndex >= 0) {        dpArray[0] = 1    }    if (rowIndex >= 1) {        dpArray[0] = 1        dpArray[1] = 1    }    if (rowIndex >= 2) {        for (i in 2 .. rowIndex) {            for (k in i - 1 downTo 1) {                dpArray[k] = dpArray[k] + dpArray[k - 1]            }            dpArray[i] = 1        }    }    return dpArray.toList()}

    120. Triangle

    Given a triangle array, return the minimum path sum from top to bottom.

    For each step, you may move to an adjacent number of the row below. More formally, if you are on index i on the current row, you may move to either index i or index i + 1 on the next row.

    fun minimumTotal(triangle: List<List<Int>>): Int {    val dArray = IntArray(triangle[triangle.lastIndex].size)    dArray[0] = triangle[0][0]    for (i in 1 .. triangle.lastIndex) {        val rowArray = triangle[i]        dArray[rowArray.lastIndex] = dArray[rowArray.lastIndex - 1] + rowArray[rowArray.lastIndex]        for (k in rowArray.lastIndex - 1 downTo 1) {            dArray[k] = Math.min(rowArray[k] + dArray[k - 1], rowArray[k] + dArray[k])        }        dArray[0] = dArray[0] + rowArray[0]    }    var ret = Int.MAX_VALUE    for (v in dArray) {        ret = Math.min(v, ret)    }    return ret}

    Note: Dynamic Programing

    121. Best Time to Buy and Sell Stock

    You are given an array prices where prices[i] is the price of a given stock on the ith day.

    You want to maximize your profit by choosing a single day to buy one stock and choosing a different day in the future to sell that stock.

    Return the maximum profit you can achieve from this transaction. If you cannot achieve any profit, return 0.

    fun maxProfit(prices: IntArray): Int {    val dp = IntArray(prices.size)    dp[0] = 0    var minPrice = prices[0]    for (i in 1 .. prices.lastIndex) {        if (prices[i] < minPrice) {            minPrice = prices[i]            dp[i] = dp[i - 1]        } else {            dp[i] = Math.max(dp[i - 1], prices[i] - minPrice)        }    }    return dp[dp.lastIndex]}

    Note: 动态规划方程: dp[i] = max(dp[i - 1], arr[i] - minPrice)

    122. Best Time to Buy and Sell Stock II

    [Greedy]

    You are given an array prices where prices[i] is the price of a given stock on the ith day.

    Find the maximum profit you can achieve. You may complete as many transactions as you like (i.e., buy one and sell one share of the stock multiple times).

    Note: You may not engage in multiple transactions simultaneously (i.e., you must sell the stock before you buy again).

    fun maxProfit(prices: IntArray): Int {    var ans = 0    for (i in 1 .. prices.size - 1) {        ans += Math.max(0, prices[i] - prices[i - 1])    }    return ans}
    ]]> + + + + + + <h3 id="Leetcode-Kotlin-解题记录"><a href="#Leetcode-Kotlin-解题记录" class="headerlink" title="Leetcode Kotlin 解题记录"></a>Leetcode Kotlin 解题记录</h3>< + + + + + + + + + + + 又发现了一个原生 Android Bug + + http://wujingchao.github.io/2020/11/27/notification_delegate/ + 2020-11-26T16:00:00.000Z + 2021-01-08T14:12:00.000Z + + 又发现了一个原生Android Bug
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    Unicode

    Unicode,官方中文名称为统一码,是计算机科学领域字符集的业界标准。它整理、编码了世界上大部分的文字系统,使得电脑可以用更为简单的方式来呈现和处理文字。

    简单来说就是某一个文字或者符号,对应(映射)着一个整数值,范围为0x0000 ~ 0x1FFFF

    Unicode划分将字符集划分为17组,其中第一组为基本字符集(也叫基本多文种平面Basic Multilingual Plane)范围为0x0000 ~ 0xFFFF,包含了大部分国家常用的字符串和符号,其中0xD800 ~ 0xDFFF不映射字符,所以基本平面能够表示的字符个数为 (65536 - 2048)

    其余的字符集为增补字符集(也叫多文种补充平面Supplementary Multilingual Plane),范围为0x10000 ~ 0x1FFFFF

    所以Unicode的字符集个数为 2^17 - 2048 = 1112064

    UTF-16

    UTF-16是对Unicode的字符集的编码,Java的Char类型占用两个字节,用的就是UTF-16进行编码。对于基本字符集使用一个char就能够表示,比如:

    ‘A’ 对于的二进制为: 0x00 0x41

    对于增补字符集,一个char表示不了,需要用两个char,但是对于每一个char的解析,我们需要知道它是落在了基本字符集里还是增补字符集里面,所以就需要一个类似转义的操作,由于基本字符集里的0xD800 ~ 0xDFFF是不映射字符的,可以用来转义。计算过程如下:

    扩展平面减去基本平面数量 0x10000 ~ 0x10FFFF - 0x10000 = 0x00000 ~ 0xFFFFF, 共20位,分别对前10位和后10位进行编码.

    0xD800 + 前10位 前两个字节,又叫高代理对(High Surrogate), 范围为0xD800 ~ 0xD8FF(0xD800 + 0x3FF)

    0xDC00 + 后10位 后两个子集,又叫低代理对(Low Surrogate),范围为0xDC00 ~ 0xDFFF(0xDC00 + 0x3FF)

    例如’𠎠’字符,对应的Unicode码为 0x203A0,为增补字符集里面的字符,所以需要使用代理对进行编码:

    首先减去基本字符集的范围:
    0x203A0 - 0x10000 = 0x103A0, 对应的二进制位0001 0000 0011 1010 0000

    对前十位进行编码:
    0xD800 + 0100 0000 = 0xD800 + 0x40 = 0xD840

    对后十位进行编码
    0xDC00 + 11 1010 0000 = 0xDC00 + 0x3A0 = 0xDFA0

    所以编码后两个字符内容为:\uD840\uDFA0

    Regular UTF-8

    UTF-8 同样是对Unicode字符集的编码,不过他使用变长的规则进行编码,对于大部分基本字符集里面的汉字字符,需要3个字节进行编码,但是对于英文字符ASCII,只需要一个字节。

    编码规则如下:

    对于与范围为0x00 ~ 0x7F的Uicode码: 0XXXXXXX

    对于超过0x7F的字符,使用变长的规则,低位均为10开头,从第二位位后面到0之间1的个数就是后面字节的个数

    0x7F ~ 0x7FF 110XXXXX 10XXXXXX

    0x800 ~ 0xFFFF 1110XXXX 10XXXXXX 10XXXXXX

    0x10000 ~ 0x10FFFF 11110XXX 10XXXXXX 10XXXXXX 10XXXXXX

    例如字符’A’ 对于的编码为 0x41

    字符’𠎠’对于的编码:

    0x203A0落在区间0x10000 ~ 0x10FFFF,对于的二进制为0010 0000 0011 1010 0000,将位填入上面的占位符(X)得到:

    1111 0000 1010 0000 1000 1110 1010 0000 即 0xF0 0xA0 0x8E 0xA0

    Modified UTF-8

    Modified UTF-8对UTF-8做了一些修改,起源于Java,java.io.DataInput里有对其描述(https://developer.android.com/reference/java/io/DataInput),区别主要有:

    • 对0号Unicode的处理,0号字符又叫null character,在C语言里面用于结束字符串标识,正常的UTF-8只需要一个字节表示,而Modified UTF-8需要用两个字节对\u0000进行编码,对应的二进制位11000000 10000000,即0xC080,所以Modified UTF-8里不会出现单个字节的null character,所以可以使用null character作为字符串的结尾,这对于C标准库里面的很多函数很有用。另外Java里面的字符串并没有结束符,需要能够正常的处理u/0000的字符

    • 只使用1,2,3字节的格式,即 0XXXXXXX | 110XXXXX 10XXXXXX | 1110XXXX 10XXXXXX 10XXXXXX

    • 只使用1,2,3字节格式来编码,那么对于增补字符集,分别对UTF-16的高代理对于低代理对进行UTF-8编码,就可以得到6字节长度。(区别于标准UTF8,直接使用Unicode码进行)

    继续使用增补字符集的字符’𠎠’示例:

    从上面可以知道UTF-16的高代理对于低代理对字节为: \uD840 \uDFA0

    分别对0xD840与0xDFA0进行UTF-8编码

    0xD840 对于二进制 1101 1000 0100 0000

    0xDFA0 对于二进制 1101 1111 1010 0000

    对高代理对进行编码 得到 11101101 10100001 10000000 即 0xED 0xA1 0x80

    对低代理对进行编码得到 11101101 10111110 10100000 即 0xED 0xBE 0xA0

    所以最终得到的编码内容为 0xED 0xA1 0xBD 0xED 0xB8 0x88

    Modified UTF-8主要用在了两个地方:

    • class文件的Utf8常量项字符格式,这样当虚拟机解析字面量不用对增补字符集做另外的代理对转换处理

    • 另一个地方就是JNI的GetStringChars函数

    GetStringUTFCharsconst char * GetStringUTFChars(JNIEnv *env, jstring string,jboolean *isCopy);Returns a pointer to an array of bytes representing the string in modified UTF-8 encoding

    但是对于增补字符集,在Android R上测试了这个函数,’𠎠’字符得到的是用Unicode进行UTF8编码的,并不是使用代理对处理的Modified UTF-8:

    11100000 10100000 10001110 10100000 即 0xF0 0xA0 0x8E 0xA0

    查了下,很早的版本就有人反馈这个现象 https://github.com/android/ndk/issues/283

    但是文档或者实现都没有改,所以涉及到JNI使用UTF-8处理增补字符集的时候,需要留意下有没有问题。

    ]]> + + + + + + <h3 id="Java-Modified-UTF-8"><a href="#Java-Modified-UTF-8" class="headerlink" title="Java Modified UTF-8"></a>Java Modified UTF-8</h3><h4 i + + + + + + + + + Leetcode Kotlin 解题记录 + + http://wujingchao.github.io/2021/02/26/leetcode/ + 2021-02-25T16:00:00.000Z + 2021-05-30T04:51:45.000Z + + Leetcode Kotlin 解题记录

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z<`a7a4tSP2aZS}CF(VHLw2IWMCTc|)%g?}u8-$c6Ju{(504426Nkwdr6A?#J@Y-(a z

    (一九三七年八月)

    这篇哲学论文,是毛泽东继《实践论》之后,为了同一的目的,即为了克服存在于中国共产党内的严重的教条主义思想而写的,曾在延安的抗日军事政治大学作过讲演。在收入本书第一版的时候,作者作了部分的补充、删节和修改。

      事物的矛盾法则,即对立统一的法则,是唯物辩证法的最根本的法则。列宁说:“就本来的意义讲,辩证法是研究对象的本质自身中的矛盾。”⑴列宁常称这个法则为辩证法的本质,又称之为辩证法的核心⑵。因此,我们在研究这个法则时,不得不涉及广泛的方面,不得不涉及许多的哲学问题。如果我们将这些问题都弄清楚了,我们就在根本上懂得了唯物辩证法。这些问题是:两种宇宙观;矛盾的普遍性;矛盾的特殊性;主要的矛盾和主要的矛盾方面;矛盾诸方面的同一性和斗争性;对抗在矛盾中的地位。
      苏联哲学界在最近数年中批判了德波林学派⑶的唯心论,这件事引起了我们的极大的兴趣。德波林的唯心论在中国共产党内发生了极坏的影响,我们党内的教条主义思想不能说和这个学派的作风没有关系。因此,我们现在的哲学研究工作,应当以扫除教条主义思想为主要的目标。

    一 两种宇宙观

      在人类的认识史中,从来就有关于宇宙发展法则的两种见解,一种是形而上学的见解,一种是辩证法的见解,形成了互相对立的两种宇宙观。列宁说:“对于发展(进化)所持的两种基本的(或两种可能的?或两种在历史上常见的?)观点是:(一)认为发展是减少和增加,是重复;(二)认为发展是对立的统一(统一物分成为两个互相排斥的对立,而两个对立又互相关联着)。”⑷列宁说的就是这两种不同的宇宙观。
      形而上学,亦称玄学。这种思想,无论在中国,在欧洲,在一个很长的历史时间内,是属于唯心论的宇宙观,并在人们的思想中占了统治的地位。在欧洲,资产阶级初期的唯物论,也是形而上学的。由于欧洲许多国家的社会经济情况进到了资本主义高度发展的阶段,生产力、阶级斗争和科学均发展到了历史上未有过的水平,工业无产阶级成为历史发展的最伟大的动力,因而产生了马克思主义的唯物辩证法的宇宙观。于是,在资产阶级那里,除了公开的极端露骨的反动的唯心论之外,还出现了庸俗的进化论,出来对抗唯物辩证法。
      所谓形而上学的或庸俗进化论的宇宙观,就是用孤立的、静止的和片面的观点去看世界。这种宇宙观把世界一切事物,一切事物的形态和种类,都看成是永远彼此孤立和永远不变化的。如果说有变化,也只是数量的增减和场所的变更。而这种增减和变更的原因,不在事物的内部而在事物的外部,即是由于外力的推动。形而上学家认为,世界上各种不同事物和事物的特性,从它们一开始存在的时候就是如此。后来的变化,不过是数量上的扩大或缩小。他们认为一种事物永远只能反复地产生为同样的事物,而不能变化为另一种不同的事物。在形而上学家看来,资本主义的剥削,资本主义的竞争,资本主义社会的个人主义思想等,就是在古代的奴隶社会里,甚至在原始社会里,都可以找得出来,而且会要永远不变地存在下去。说到社会发展的原因,他们就用社会外部的地理、气候等条件去说明。他们简单地从事物外部去找发展的原因,否认唯物辩证法所主张的事物因内部矛盾引起发展的学说。因此,他们不能解释事物的质的多样性,不能解释一种质变为他种质的现象。这种思想,在欧洲,在十七世纪和十八世纪是机械唯物论,在十九世纪末和二十世纪初则有庸俗进化论。在中国,则有所谓“天不变,道亦不变”⑸的形而上学的思想,曾经长期地为腐朽了的封建统治阶级所拥护。近百年来输入了欧洲的机械唯物论和庸俗进化论,则为资产阶级所拥护。
      和形而上学的宇宙观相反,唯物辩证法的宇宙观主张从事物的内部、从一事物对他事物的关系去研究事物的发展,即把事物的发展看做是事物内部的必然的自己的运动,而每一事物的运动都和它的周围其他事物互相联系着和互相影响着。事物发展的根本原因,不是在事物的外部而是在事物的内部,在于事物内部的矛盾性。任何事物内部都有这种矛盾性,因此引起了事物的运动和发展。事物内部的这种矛盾性是事物发展的根本原因,一事物和他事物的互相联系和互相影响则是事物发展的第二位的原因。这样,唯物辩证法就有力地反对了形而上学的机械唯物论和庸俗进化论的外因论或被动论。这是清楚的,单纯的外部原因只能引起事物的机械的运动,即范围的大小,数量的增减,不能说明事物何以有性质上的千差万别及其互相变化。事实上,即使是外力推动的机械运动,也要通过事物内部的矛盾性。植物和动物的单纯的增长,数量的发展,主要地也是由于内部矛盾所引起的。同样,社会的发展,主要地不是由于外因而是由于内因。许多国家在差不多一样的地理和气候的条件下,它们发展的差异性和不平衡性,非常之大。同一个国家吧,在地理和气候并没有变化的情形下,社会的变化却是很大的。帝国主义的俄国变为社会主义的苏联,封建的闭关锁国的日本变为帝国主义的日本,这些国家的地理和气候并没有变化。长期地被封建制度统治的中国,近百年来发生了很大的变化,现在正在变化到一个自由解放的新中国的方向去,中国的地理和气候并没有变化。整个地球及地球各部分的地理和气候也是变化着的,但以它们的变化和社会的变化相比较,则显得很微小,前者是以若干万年为单位而显现其变化的,后者则在几千年、几百年、几十年、甚至几年或几个月(在革命时期)内就显现其变化了。按照唯物辩证法的观点,自然界的变化,主要地是由于自然界内部矛盾的发展。社会的变化,主要地是由于社会内部矛盾的发展,即生产力和生产关系的矛盾,阶级之间的矛盾,新旧之间的矛盾,由于这些矛盾的发展,推动了社会的前进,推动了新旧社会的代谢。唯物辩证法是否排除外部的原因呢?并不排除。唯物辩证法认为外因是变化的条件,内因是变化的根据,外因通过内因而起作用。鸡蛋因得适当的温度而变化为鸡子,但温度不能使石头变为鸡子,因为二者的根据是不同的。各国人民之间的互相影响是时常存在的。在资本主义时代,特别是在帝国主义和无产阶级革命的时代,各国在政治上、经济上和文化上的互相影响和互相激动,是极其巨大的。十月社会主义革命不只是开创了俄国历史的新纪元,而且开创了世界历史的新纪元,影响到世界各国内部的变化,同样地而且还特别深刻地影响到中国内部的变化,但是这种变化是通过了各国内部和中国内部自己的规律性而起的。两军相争,一胜一败,所以胜败,皆决于内因。胜者或因其强,或因其指挥无误,败者或因其弱,或因其指挥失宜,外因通过内因而引起作用。一九二七年中国大资产阶级战败了无产阶级,是通过中国无产阶级内部的(中国共产党内部的)机会主义而起作用的。当着我们清算了这种机会主义的时候,中国革命就重新发展了。后来,中国革命又受了敌人的严重的打击,是因为我们党内产生了冒险主义。当着我们清算了这种冒险主义的时候,我们的事业就又重新发展了。由此看来,一个政党要引导革命到胜利,必须依靠自己政治路线的正确和组织上的巩固。
      辩证法的宇宙观,不论在中国,在欧洲,在古代就产生了。但是古代的辩证法带着自发的朴素的性质,根据当时的社会历史条件,还不可能有完备的理论,因而不能完全解释宇宙,后来就被形而上学所代替。生活在十八世纪末和十九世纪初期的德国著名哲学家黑格尔,对于辩证法曾经给了很重要的贡献,但是他的辩证法却是唯心的辩证法。直到无产阶级运动的伟大的活动家马克思和恩格斯综合了人类认识史的积极的成果,特别是批判地吸取了黑格尔的辩证法的合理的部分,创造了辩证唯物论和历史唯物论这个伟大的理论,才在人类认识史上起了一个空前的大革命。后来,经过列宁和斯大林,又发展了这个伟大的理论。这个理论一经传到中国来,就在中国思想界引起了极大的变化。
      这个辩证法的宇宙观,主要地就是教导人们要善于去观察和分析各种事物的矛盾的运动,并根据这种分析,指出解决矛盾的方法。因此,具体地了解事物矛盾这一个法则,对于我们是非常重要的。

    二 矛盾的普遍性

      为了叙述的便利起见,我在这里先说矛盾的普遍性,再说矛盾的特殊性。这是因为马克思主义的伟大的创造者和继承者马克思、恩格斯、列宁、斯大林他们发现了唯物辩证法的宇宙观,已经把唯物辩证法应用在人类历史的分析和自然历史的分析的许多方面,应用在社会的变革和自然的变革(例如在苏联)的许多方面,获得了极其伟大的成功,矛盾的普遍性已经被很多人所承认,因此,关于这个问题只需要很少的话就可以说明白;而关于矛盾的特殊性的问题,则还有很多的同志,特别是教条主义者,弄不清楚。他们不了解矛盾的普遍性即寓于矛盾的特殊性之中。他们也不了解研究当前具体事物的矛盾的特殊性,对于我们指导革命实践的发展有何等重要的意义。因此,关于矛盾的特殊性的问题应当着重地加以研究,并用足够的篇幅加以说明。为了这个缘故,当着我们分析事物矛盾的法则的时候,我们就先来分析矛盾的普遍性的问题,然后再着重地分析矛盾的特殊性的问题,最后仍归到矛盾的普遍性的问题。
      矛盾的普遍性或绝对性这个问题有两方面的意义。其一是说,矛盾存在于一切事物的发展过程中;其二是说,每一事物的发展过程中存在着自始至终的矛盾运动。
      恩格斯说:“运动本身就是矛盾。”⑹列宁对于对立统一法则所下的定义,说它就是“承认(发现)自然界(精神和社会两者也在内)的一切现象和过程都含有互相矛盾、互相排斥、互相对立的趋向”⑺。这些意见是对的吗?是对的。一切事物中包含的矛盾方面的相互依赖和相互斗争,决定一切事物的生命,推动一切事物的发展。没有什么事物是不包含矛盾的,没有矛盾就没有世界。
      矛盾是简单的运动形式(例如机械性的运动)的基础,更是复杂的运动形式的基础。
      恩格斯这样说明过矛盾的普遍性:“如果简单的机械的移动本身包含着矛盾,那末,物质的更高的运动形式,特别是有机生命及其发展,就更加包含着矛盾。……生命首先就在于:生物在每一个瞬间是它自身,但却又是别的什么。所以,生命也是存在于物体和过程本身中的不断地自行产生并自行解决的矛盾;这一矛盾一停止,生命亦即停止,于是死就来到。同样,我们看到了,在思维的范围以内我们也不能避免矛盾,并且我们看到了,例如,人的内部无限的认识能力与此种认识能力仅在外部被局限的而且认识上也被局限的个别人们身上的实际的实现二者之间的矛盾,是在人类世代的无穷的——至少对于我们,实际上是无穷的——连续系列之中,是在无穷的前进运动之中解决的。”
      “高等数学的主要基础之一,就是矛盾……”
      “就是初等数学,也充满着矛盾。……”⑻
      列宁也这样说明过矛盾的普遍性:“在数学中,正和负,微分和积分。
      在力学中,作用和反作用。
      在物理学中,阳电和阴电。
      在化学中,原子的化合和分解。
      在社会科学中,阶级斗争。”⑼
      战争中的攻守,进退,胜败,都是矛盾着的现象。失去一方,他方就不存在。双方斗争而又联结,组成了战争的总体,推动了战争的发展,解决了战争的问题。
      人的概念的每一差异,都应把它看作是客观矛盾的反映。客观矛盾反映入主观的思想,组成了概念的矛盾运动,推动了思想的发展,不断地解决了人们的思想问题。
      党内不同思想的对立和斗争是经常发生的,这是社会的阶级矛盾和新旧事物的矛盾在党内的反映。党内如果没有矛盾和解决矛盾的思想斗争,党的生命也就停止了。
      由此看来,不论是简单的运动形式,或复杂的运动形式,不论是客观现象,或思想现象,矛盾是普遍地存在着,矛盾存在于一切过程中,这一点已经弄清楚了。但是每一过程的开始阶段,是否也有矛盾存在呢?是否每一事物的发展过程具有自始至终的矛盾运动呢?
      从苏联哲学界批判德波林学派的文章中看出,德波林学派有这样一种见解,他们认为矛盾不是一开始就在过程中出现,须待过程发展到一定的阶段才出现。那末,在那一时间以前,过程发展的原因不是由于内部的原因,而是由于外部的原因了。这样,德波林回到形而上学的外因论和机械论去了。拿这种见解去分析具体的问题,他们就看见在苏联条件下富农和一般农民之间只有差异,并无矛盾,完全同意了布哈林的意见。在分析法国革命时,他们就认为在革命前,工农资产阶级合组的第三等级中,也只有差异,并无矛盾。德波林学派这类见解是反马克思主义的。他们不知道世界上的每一差异中就已经包含着矛盾,差异就是矛盾。劳资之间,从两阶级发生的时候起,就是互相矛盾的,仅仅还没有激化而已。工农之间,即使在苏联的社会条件下,也有差异,它们的差异就是矛盾,仅仅不会激化成为对抗,不取阶级斗争的形态,不同于劳资间的矛盾;它们在社会主义建设中形成巩固的联盟,并在由社会主义走向共产主义的发展过程中逐渐地解决这个矛盾。这是矛盾的差别性的问题,不是矛盾的有无的问题。矛盾是普遍的、绝对的,存在于事物发展的一切过程中,又贯串于一切过程的始终。
      新过程的发生是什么呢?这是旧的统一和组成此统一的对立成分让位于新的统一和组成此统一的对立成分,于是新过程就代替旧过程而发生。旧过程完结了,新过程发生了。新过程又包含着新矛盾,开始它自己的矛盾发展史。
      事物发展过程的自始至终的矛盾运动,列宁指出马克思在《资本论》中模范地作了这样的分析。这是研究任何事物发展过程所必须应用的方法。列宁自己也正确地应用了它,贯彻于他的全部著作中。
      “马克思在《资本论》中,首先分析的是资产阶级社会(商品社会)里最简单的、最普通的、最基本的、最常见的、最平常的、碰到亿万次的关系——商品交换。这一分析在这个最简单的现象之中(资产阶级社会的这个‘细胞’之中)暴露了现代社会的一切矛盾(以及一切矛盾的胚芽)。往后的叙述又向我们表明了这些矛盾和这个社会各个部分总和的自始至终的发展(增长与运动两者)。”
      列宁说了上面的话之后,接着说道:“这应该是一般辩证法的……叙述(以及研究)方法。”⑽
      中国共产党人必须学会这个方法,才能正确地分析中国革命的历史和现状,并推断革命的将来。

    三 矛盾的特殊性

      矛盾存在于一切事物发展的过程中,矛盾贯串于每一事物发展过程的始终,这是矛盾的普遍性和绝对性,前面已经说过了。现在来说矛盾的特殊性和相对性。
      这个问题,应从几种情形中去研究。
      首先是各种物质运动形式中的矛盾,都带特殊性。人的认识物质,就是认识物质的运动形式,因为除了运动的物质以外,世界上什么也没有,而物质的运动则必取一定的形式。对于物质的每一种运动形式,必须注意它和其他各种运动形式的共同点。但是,尤其重要的,成为我们认识事物的基础的东西,则是必须注意它的特殊点,就是说,注意它和其他运动形式的质的区别。只有注意了这一点,才有可能区别事物。任何运动形式,其内部都包含着本身特殊的矛盾。这种特殊的矛盾,就构成一事物区别于他事物的特殊的本质。这就是世界上诸种事物所以有千差万别的内在的原因,或者叫做根据。自然界存在着许多的运动形式,机械运动、发声、发光、发热、电流、化分、化合等等都是。所有这些物质的运动形式,都是互相依存的,又是本质上互相区别的。每一物质的运动形式所具有的特殊的本质,为它自己的特殊的矛盾所规定。这种情形,不但在自然界中存在着,在社会现象和思想现象中也是同样地存在着。每一种社会形式和思想形式,都有它的特殊的矛盾和特殊的本质。
      科学研究的区分,就是根据科学对象所具有的特殊的矛盾性。因此,对于某一现象的领域所特有的某一种矛盾的研究,就构成某一门科学的对象。例如,数学中的正数和负数,机械学中的作用和反作用,物理学中的阴电和阳电,化学中的化分和化合,社会科学中的生产力和生产关系、阶级和阶级的互相斗争,军事学中的攻击和防御,哲学中的唯心论和唯物论、形而上学观和辩证法观等等,都是因为具有特殊的矛盾和特殊的本质,才构成了不同的科学研究的对象。固然,如果不认识矛盾的普遍性,就无从发现事物运动发展的普遍的原因或普遍的根据;但是,如果不研究矛盾的特殊性,就无从确定一事物不同于他事物的特殊的本质,就无从发现事物运动发展的特殊的原因,或特殊的根据,也就无从辨别事物,无从区分科学研究的领域。
      就人类认识运动的秩序说来,总是由认识个别的和特殊的事物,逐步地扩大到认识一般的事物。人们总是首先认识了许多不同事物的特殊的本质,然后才有可能更进一步地进行概括工作,认识诸种事物的共同的本质。当着人们已经认识了这种共同的本质以后,就以这种共同的认识为指导,继续地向着尚未研究过的或者尚未深入地研究过的各种具体的事物进行研究,找出其特殊的本质,这样才可以补充、丰富和发展这种共同的本质的认识,而使这种共同的本质的认识不致变成枯槁的和僵死的东西。这是两个认识的过程:一个是由特殊到一般,一个是由一般到特殊。人类的认识总是这样循环往复地进行的,而每一次的循环(只要是严格地按照科学的方法)都可能使人类的认识提高一步,使人类的认识不断地深化。我们的教条主义者在这个问题上的错误,就是,一方面,不懂得必须研究矛盾的特殊性,认识各别事物的特殊的本质,才有可能充分地认识矛盾的普遍性,充分地认识诸种事物的共同的本质;另一方面,不懂得在我们认识了事物的共同的本质以后,还必须继续研究那些尚未深入地研究过的或者新冒出来的具体的事物。我们的教条主义者是懒汉,他们拒绝对于具体事物做任何艰苦的研究工作,他们把一般真理看成是凭空出现的东西,把它变成为人们所不能够捉摸的纯粹抽象的公式,完全否认了并且颠倒了这个人类认识真理的正常秩序。他们也不懂得人类认识的两个过程的互相联结——由特殊到一般,又由一般到特殊,他们完全不懂得马克思主义的认识论。
      不但要研究每一个大系统的物质运动形式的特殊的矛盾性及其所规定的本质,而且要研究每一个物质运动形式在其发展长途中的每一个过程的特殊的矛盾及其本质。一切运动形式的每一个实在的非臆造的发展过程内,都是不同质的。我们的研究工作必须着重这一点,而且必须从这一点开始。
      不同质的矛盾,只有用不同质的方法才能解决。例如,无产阶级和资产阶级的矛盾,用社会主义革命的方法去解决;人民大众和封建制度的矛盾,用民主革命的方法去解决;殖民地和帝国主义的矛盾,用民族革命战争的方法去解决;在社会主义社会中工人阶级和农民阶级的矛盾,用农业集体化和农业机械化的方法去解决;共产党内的矛盾,用批评和自我批评的方法去解决;社会和自然的矛盾,用发展生产力的方法去解决。过程变化,旧过程和旧矛盾消灭,新过程和新矛盾发生,解决矛盾的方法也因之而不同。俄国的二月革命和十月革命所解决的矛盾及其所用以解决矛盾的方法是根本上不相同的。用不同的方法去解决不同的矛盾,这是马克思列宁主义者必须严格地遵守的一个原则。教条主义者不遵守这个原则,他们不了解诸种革命情况的区别,因而也不了解应当用不同的方法去解决不同的矛盾,而只是千篇一律地使用一种自以为不可改变的公式到处硬套,这就只能使革命遭受挫折,或者将本来做得好的事情弄得很坏。
      为要暴露事物发展过程中的矛盾在其总体上、在其相互联结上的特殊性,就是说暴露事物发展过程的本质,就必须暴露过程中矛盾各方面的特殊性,否则暴露过程的本质成为不可能,这也是我们作研究工作时必须十分注意的。
      一个大的事物,在其发展过程中,包含着许多的矛盾。例如,在中国资产阶级民主革命过程中,有中国社会各被压迫阶级和帝国主义的矛盾,有人民大众和封建制度的矛盾,有无产阶级和资产阶级的矛盾,有农民及城市小资产阶级和资产阶级的矛盾,有各个反动的统治集团之间的矛盾等等,情形是非常复杂的。这些矛盾,不但各各有其特殊性,不能一律看待,而且每一矛盾的两方面,又各各有其特点,也是不能一律看待的。我们从事中国革命的人,不但要在各个矛盾的总体上,即矛盾的相互联结上,了解其特殊性,而且只有从矛盾的各个方面着手研究,才有可能了解其总体。所谓了解矛盾的各个方面,就是了解它们每一方面各占何等特定的地位,各用何种具体形式和对方发生互相依存又互相矛盾的关系,在互相依存又互相矛盾中,以及依存破裂后,又各用何种具体的方法和对方作斗争。研究这些问题,是十分重要的事情。列宁说:马克思主义的最本质的东西,马克思主义的活的灵魂,就在于具体地分析具体的情况⑾。就是说的这个意思。我们的教条主义者违背列宁的指示,从来不用脑筋具体地分析任何事物,做起文章或演说来,总是空洞无物的八股调,在我们党内造成了一种极坏的作风。
      研究问题,忌带主观性、片面性和表面性。所谓主观性,就是不知道客观地看问题,也就是不知道用唯物的观点去看问题。这一点,我在《实践论》一文中已经说过了。所谓片面性,就是不知道全面地看问题。例如:只了解中国一方、不了解日本一方,只了解共产党一方、不了解国民党一方,只了解无产阶级一方、不了解资产阶级一方,只了解农民一方、不了解地主一方,只了解顺利情形一方、不了解困难情形一方,只了解过去一方、不了解将来一方,只了解个体一方、不了解总体一方,只了解缺点一方、不了解成绩一方,只了解原告一方、不了解被告一方,只了解革命的秘密工作一方、不了解革命的公开工作一方,如此等等。一句话,不了解矛盾各方的特点。这就叫做片面地看问题。或者叫做只看见局部,不看见全体,只看见树木,不看见森林。这样,是不能找出解决矛盾的方法的,是不能完成革命任务的,是不能做好所任工作的,是不能正确地发展党内的思想斗争的。孙子论军事说:“知彼知己,百战不殆。”⑿他说的是作战的双方。唐朝人魏徵说过:“兼听则明,偏信则暗。”⒀也懂得片面性不对。可是我们的同志看问题,往往带片面性,这样的人就往往碰钉子。《水浒传》上宋江三打祝家庄⒁,两次都因情况不明,方法不对,打了败仗。后来改变方法,从调查情形入手,于是熟悉了盘陀路,拆散了李家庄、扈家庄和祝家庄的联盟,并且布置了藏在敌人营盘里的伏兵,用了和外国故事中所说木马计⒂相像的方法,第三次就打了胜仗。《水浒传》上有很多唯物辩证法的事例,这个三打祝家庄,算是最好的一个。列宁说:“要真正地认识对象,就必须把握和研究它的一切方面、一切联系和‘媒介’。我们决不会完全地作到这一点,可是要求全面性,将使我们防止错误,防止僵化。”⒃我们应该记得他的话。表面性,是对矛盾总体和矛盾各方的特点都不去看,否认深入事物里面精细地研究矛盾特点的必要,仅仅站在那里远远地望一望,粗枝大叶地看到一点矛盾的形相,就想动手去解决矛盾(答复问题、解决纠纷、处理工作、指挥战争)。这样的做法,没有不出乱子的。中国的教条主义和经验主义的同志们所以犯错误,就是因为他们看事物的方法是主观的、片面的和表面的。片面性、表面性也是主观性,因为一切客观事物本来是互相联系的和具有内部规律的,人们不去如实地反映这些情况,而只是片面地或表面地去看它们,不认识事物的互相联系,不认识事物的内部规律,所以这种方法是主观主义的。
      不但事物发展的全过程中的矛盾运动,在其相互联结上,在其各方情况上,我们必须注意其特点,而且在过程发展的各个阶段中,也有其特点,也必须注意。
      事物发展过程的根本矛盾及为此根本矛盾所规定的过程的本质,非到过程完结之日,是不会消灭的;但是事物发展的长过程中的各个发展的阶段,情形又往往互相区别。这是因为事物发展过程的根本矛盾的性质和过程的本质虽然没有变化,但是根本矛盾在长过程中的各个发展阶段上采取了逐渐激化的形式。并且,被根本矛盾所规定或影响的许多大小矛盾中,有些是激化了,有些是暂时地或局部地解决了,或者缓和了,又有些是发生了,因此,过程就显出阶段性来。如果人们不去注意事物发展过程中的阶段性,人们就不能适当地处理事物的矛盾。
      例如,自由竞争时代的资本主义发展为帝国主义,这时,无产阶级和资产阶级这两个根本矛盾着的阶级的性质和这个社会的资本主义的本质,并没有变化;但是,两阶级的矛盾激化了,独占资本和自由资本之间的矛盾发生了,宗主国和殖民地的矛盾激化了,各资本主义国家间的矛盾即由各国发展不平衡的状态而引起的矛盾特别尖锐地表现出来了,因此形成了资本主义的特殊阶段,形成了帝国主义阶段。列宁主义之所以成为帝国主义和无产阶级革命时代的马克思主义,就是因为列宁和斯大林正确地说明了这些矛盾,并正确地作出了解决这些矛盾的无产阶级革命的理论和策略。
      拿从辛亥革命⒄开始的中国资产阶级民主革命过程的情形来看,也有了若干特殊阶段。特别是在资产阶级领导时期的革命和在无产阶级领导时期的革命,区别为两个很大不同的历史阶段。这就是:由于无产阶级的领导,根本地改变了革命的面貌,引出了阶级关系的新调度,农民革命的大发动,反帝国主义和反封建主义的革命彻底性,由民主革命转变到社会主义革命的可能性,等等。所有这些,都是在资产阶级领导革命时期不可能出现的。虽然整个过程中根本矛盾的性质,过程之反帝反封建的民主革命的性质(其反面是半殖民地半封建的性质),并没有变化,但是,在这长时间中,经过了辛亥革命失败和北洋军阀统治,第一次民族统一战线的建立和一九二四年至一九二七年的革命,统一战线破裂和资产阶级转入反革命,新的军阀战争,土地革命战争,第二次民族统一战线建立和抗日战争等等大事变,二十多年间经过了几个发展阶段。在这些阶段中,包含着有些矛盾激化了(例如土地革命战争和日本侵入东北四省⒅),有些矛盾部分地或暂时地解决了(例如北洋军阀的被消灭,我们没收了地主的土地),有些矛盾重新发生了(例如新军阀之间的斗争,南方各革命根据地丧失后地主又重新收回土地)等等特殊的情形。
      研究事物发展过程中的各个发展阶段上的矛盾的特殊性,不但必须在其联结上、在其总体上去看,而且必须从各个阶段中矛盾的各个方面去看。
      例如国共两党。国民党方面,在第一次统一战线时期,因为它实行了孙中山的联俄、联共、援助工农的三大政策,所以它是革命的、有朝气的,它是各阶级的民主革命的联盟。一九二七年以后,国民党变到了与此相反的方面,成了地主和大资产阶级的反动集团。一九三六年十二月西安事变⒆后又开始向停止内战、联合共产党共同反对日本帝国主义这个方面转变。这就是国民党在三个阶段上的特点。形成这些特点,当然有种种的原因。中国共产党方面,在第一次统一战线时期,它是幼年的党,它英勇地领导了一九二四年至一九二七年的革命;但在对于革命的性质、任务和方法的认识方面,却表现了它的幼年性,因此在这次革命的后期所发生的陈独秀主义⒇能够起作用,使这次革命遭受了失败。一九二七年以后,它又英勇地领导了土地革命战争,创立了革命的军队和革命的根据地,但是它也犯过冒险主义的错误,使军队和根据地都受了很大的损失。一九三五年以后,它又纠正了冒险主义的错误,领导了新的抗日的统一战线,这个伟大的斗争现在正在发展。在这个阶段上,共产党是一个经过了两次革命的考验、有了丰富的经验的党。这些就是中国共产党在三个阶段上的特点。形成这些特点也有种种的原因。不研究这些特点,就不能了解两党在各个发展阶段上的特殊的相互关系:统一战线的建立,统一战线的破裂,再一个统一战线的建立。而要研究两党的种种特点,更根本的就必须研究这两党的阶级基础以及因此在各个时期所形成的它们和其他方面的矛盾的对立。例如,国民党在它第一次联合共产党的时期,一方面有和国外帝国主义的矛盾,因而它反对帝国主义;另一方面有和国内人民大众的矛盾,它在口头上虽然允许给予劳动人民以许多的利益,但在实际上则只给予很少的利益,或者简直什么也不给。在它进行反共战争的时期,则和帝国主义、封建主义合作反对人民大众,一笔勾销了人民大众原来在革命中所争得的一切利益,激化了它和人民大众的矛盾。现在抗日时期,国民党和日本帝国主义有矛盾,它一面要联合共产党,同时它对共产党和国内人民并不放松其斗争和压迫。共产党则无论在哪一时期,均和人民大众站在一道,反对帝国主义和封建主义;但在现在的抗日时期,由于国民党表示抗日,它对国民党和国内封建势力,也就采取了缓和的政策。由于这些情况,所以或者造成了两党的联合,或者造成了两党的斗争,而且即使在两党联合的时期也有又联合又斗争的复杂的情况。如果我们不去研究这些矛盾方面的特点,我们就不但不能了解这两个党各各和其他方面的关系,也不能了解两党之间的相互关系。
      由此看来,不论研究何种矛盾的特性——各个物质运动形式的矛盾,各个运动形式在各个发展过程中的矛盾,各个发展过程的矛盾的各方面,各个发展过程在其各个发展阶段上的矛盾以及各个发展阶段上的矛盾的各方面,研究所有这些矛盾的特性,都不能带主观随意性,必须对它们实行具体的分析。离开具体的分析,就不能认识任何矛盾的特性。我们必须时刻记得列宁的话:对于具体的事物作具体的分析。
      这种具体的分析,马克思、恩格斯首先给了我们以很好的模范。
      当马克思、恩格斯把这事物矛盾的法则应用到社会历史过程的研究的时候,他们看出生产力和生产关系之间的矛盾,看出剥削阶级和被剥削阶级之间的矛盾以及由于这些矛盾所产生的经济基础和政治及思想等上层建筑之间的矛盾,而这些矛盾如何不可避免地会在各种不同的阶级社会中,引出各种不同的社会革命。
      马克思把这一法则应用到资本主义社会经济结构的研究的时候,他看出这一社会的基本矛盾在于生产的社会性和占有制的私人性之间的矛盾。这个矛盾表现于在各别企业中的生产的有组织性和在全社会中的生产的无组织性之间的矛盾。这个矛盾的阶级表现则是资产阶级和无产阶级之间的矛盾。
      由于事物范围的极其广大,发展的无限性,所以,在一定场合为普遍性的东西,而在另一一定场合则变为特殊性。反之,在一定场合为特殊性的东西,而在另一一定场合则变为普遍性。资本主义制度所包含的生产社会化和生产资料私人占有制的矛盾,是所有有资本主义的存在和发展的各国所共有的东西,对于资本主义说来,这是矛盾的普遍性。但是资本主义的这种矛盾,乃是一般阶级社会发展在一定历史阶段上的东西,对于一般阶级社会中的生产力和生产关系的矛盾说来,这是矛盾的特殊性。然而,当着马克思把资本主义社会这一切矛盾的特殊性解剖出来之后,同时也就更进一步地、更充分地、更完全地把一般阶级社会中这个生产力和生产关系的矛盾的普遍性阐发出来了。
      由于特殊的事物是和普遍的事物联结的,由于每一个事物内部不但包含了矛盾的特殊性,而且包含了矛盾的普遍性,普遍性即存在于特殊性之中,所以,当着我们研究一定事物的时候,就应当去发现这两方面及其互相联结,发现一事物内部的特殊性和普遍性的两方面及其互相联结,发现一事物和它以外的许多事物的互相联结。斯大林在他的名著《论列宁主义基础》一书中说明列宁主义的历史根源的时候,他分析了列宁主义所由产生的国际环境,分析了在帝国主义条件下已经发展到极点的资本主义的诸矛盾,以及这些矛盾使无产阶级革命成为直接实践的问题,并造成了直接冲击资本主义的良好的条件。不但如此,他又分析了为什么俄国成为列宁主义的策源地,分析了沙皇俄国当时是帝国主义一切矛盾的集合点以及俄国无产阶级所以能够成为国际的革命无产阶级的先锋队的原因。这样,斯大林分析了帝国主义的矛盾的普遍性,说明列宁主义是帝国主义和无产阶级革命时代的马克思主义;又分析了沙俄帝国主义在这一般矛盾中所具有的特殊性,说明俄国成了无产阶级革命理论和策略的故乡,而在这种特殊性中间就包含了矛盾的普遍性。斯大林的这种分析,给我们提供了认识矛盾的特殊性和普遍性及其互相联结的模范。
      马克思和恩格斯,同样地列宁和斯大林,他们对于应用辩证法到客观现象的研究的时候,总是指导人们不要带上任何的主观随意性,而必须从客观的实际运动所包含的具体的条件,去看出这些现象中的具体的矛盾、矛盾各方面的具体的地位以及矛盾的具体的相互关系。我们的教条主义者因为没有这种研究态度,所以弄得一无是处。我们必须以教条主义的失败为鉴戒,学会这种研究态度,舍此没有第二种研究法。
      矛盾的普遍性和矛盾的特殊性的关系,就是矛盾的共性和个性的关系。其共性是矛盾存在于一切过程中,并贯串于一切过程的始终,矛盾即是运动,即是事物,即是过程,也即是思想。否认事物的矛盾就是否认了一切。这是共通的道理,古今中外,概莫能外。所以它是共性,是绝对性。然而这种共性,即包含于一切个性之中,无个性即无共性。假如除去一切个性,还有什么共性呢?因为矛盾的各各特殊,所以造成了个性。一切个性都是有条件地暂时地存在的,所以是相对的。
      这一共性个性、绝对相对的道理,是关于事物矛盾的问题的精髓,不懂得它,就等于抛弃了辩证法。

    四 主要的矛盾和主要的矛盾方面

      在矛盾特殊性的问题中,还有两种情形必须特别地提出来加以分析,这就是主要的矛盾和主要的矛盾方面。
      在复杂的事物的发展过程中,有许多的矛盾存在,其中必有一种是主要的矛盾,由于它的存在和发展规定或影响着其他矛盾的存在和发展。
      例如在资本主义社会中,无产阶级和资产阶级这两个矛盾着的力量是主要的矛盾;其他的矛盾力量,例如,残存的封建阶级和资产阶级的矛盾,农民小资产者和资产阶级的矛盾,无产阶级和农民小资产者的矛盾,自由资产阶级和垄断资产阶级的矛盾,资产阶级的民主主义和资产阶级的法西斯主义的矛盾,资本主义国家相互间的矛盾,帝国主义和殖民地的矛盾,以及其他的矛盾,都为这个主要的矛盾力量所规定、所影响。
      半殖民地的国家如中国,其主要矛盾和非主要矛盾的关系呈现着复杂的情况。
      当着帝国主义向这种国家举行侵略战争的时候,这种国家的内部各阶级,除开一些叛国分子以外,能够暂时地团结起来举行民族战争去反对帝国主义。这时,帝国主义和这种国家之间的矛盾成为主要的矛盾,而这种国家内部各阶级的一切矛盾(包括封建制度和人民大众之间这个主要矛盾在内),便都暂时地降到次要和服从的地位。中国一八四○年的鸦片战争(21),一八九四年的中日战争(22),一九○○年的义和团战争(23)和目前的中日战争,都有这种情形。
      然而在另一种情形之下,则矛盾的地位起了变化。当着帝国主义不是用战争压迫而是用政治、经济、文化等比较温和的形式进行压迫的时候,半殖民地国家的统治阶级就会向帝国主义投降,二者结成同盟,共同压迫人民大众。这种时候,人民大众往往采取国内战争的形式,去反对帝国主义和封建阶级的同盟,而帝国主义则往往采取间接的方式去援助半殖民地国家的反动派压迫人民,而不采取直接行动,显出了内部矛盾的特别尖锐性。中国的辛亥革命战争,一九二四年至一九二七年的革命战争,一九二七年以后的十年土地革命战争,都有这种情形。还有半殖民地国家各个反动的统治集团之间的内战,例如在中国的军阀战争,也属于这一类。
      当着国内革命战争发展到从根本上威胁帝国主义及其走狗国内反动派的存在的时候,帝国主义就往往采取上述方法以外的方法,企图维持其统治:或者分化革命阵线的内部,或者直接出兵援助国内反动派。这时,外国帝国主义和国内反动派完全公开地站在一个极端,人民大众则站在另一极端,成为一个主要矛盾,而规定或影响其他矛盾的发展状态。十月革命后各资本主义国家援助俄国反动派,是武装干涉的例子。一九二七年的蒋介石的叛变,是分化革命阵线的例子。
      然而不管怎样,过程发展的各个阶段中,只有一种主要的矛盾起着领导的作用,是完全没有疑义的。
      由此可知,任何过程如果有多数矛盾存在的话,其中必定有一种是主要的,起着领导的、决定的作用,其他则处于次要和服从的地位。因此,研究任何过程,如果是存在着两个以上矛盾的复杂过程的话,就要用全力找出它的主要矛盾。捉住了这个主要矛盾,一切问题就迎刃而解了。这是马克思研究资本主义社会告诉我们的方法。列宁和斯大林研究帝国主义和资本主义总危机的时候,列宁和斯大林研究苏联经济的时候,也告诉了这种方法。万千的学问家和实行家,不懂得这种方法,结果如堕烟海,找不到中心,也就找不到解决矛盾的方法。
      不能把过程中所有的矛盾平均看待,必须把它们区别为主要的和次要的两类,着重于捉住主要的矛盾,已如上述。但是在各种矛盾之中,不论是主要的或次要的,矛盾着的两个方面,又是否可以平均看待呢?也是不可以的。无论什么矛盾,矛盾的诸方面,其发展是不平衡的。有时候似乎势均力敌,然而这只是暂时的和相对的情形,基本的形态则是不平衡。矛盾着的两方面中,必有一方面是主要的,他方面是次要的。其主要的方面,即所谓矛盾起主导作用的方面。事物的性质,主要地是由取得支配地位的矛盾的主要方面所规定的。
      然而这种情形不是固定的,矛盾的主要和非主要的方面互相转化着,事物的性质也就随着起变化。在矛盾发展的一定过程或一定阶段上,主要方面属于甲方,非主要方面属于乙方;到了另一发展阶段或另一发展过程时,就互易其位置,这是依靠事物发展中矛盾双方斗争的力量的增减程度来决定的。
      我们常常说“新陈代谢”这句话。新陈代谢是宇宙间普遍的永远不可抵抗的规律。依事物本身的性质和条件,经过不同的飞跃形式,一事物转化为他事物,就是新陈代谢的过程。任何事物的内部都有其新旧两个方面的矛盾,形成为一系列的曲折的斗争。斗争的结果,新的方面由小变大,上升为支配的东西;旧的方面则由大变小,变成逐步归于灭亡的东西。而一当新的方面对于旧的方面取得支配地位的时候,旧事物的性质就变化为新事物的性质。由此可见,事物的性质主要地是由取得支配地位的矛盾的主要方面所规定的。取得支配地位的矛盾的主要方面起了变化,事物的性质也就随着起变化。
      在资本主义社会中,资本主义已从旧的封建主义社会时代的附庸地位,转化成了取得支配地位的力量,社会的性质也就由封建主义的变为资本主义的。在新的资本主义社会时代,封建势力则由原来处在支配地位的力量转化为附庸的力量,随着也就逐步地归于消灭了,例如英法诸国就是如此。随着生产力的发展,资产阶级由新的起进步作用的阶级,转化为旧的起反动作用的阶级,以至于最后被无产阶级所推翻,而转化为私有的生产资料被剥夺和失去权力的阶级,这个阶级也就要逐步归于消灭了。人数比资产阶级多得多、并和资产阶级同时生长、但被资产阶级统治着的无产阶级,是一个新的力量,它由初期的附属于资产阶级的地位,逐步地壮大起来,成为独立的和在历史上起主导作用的阶级,以至最后夺取政权成为统治阶级。这时,社会的性质,就由旧的资本主义的社会转化成了新的社会主义的社会。这就是苏联已经走过和一切其他国家必然要走的道路。
      就中国的情形来说,帝国主义处在形成半殖民地这种矛盾的主要地位,压迫中国人民,中国则由独立国变为半殖民地。然而事情必然会变化,在双方斗争的局势中,中国人民在无产阶级领导之下所生长起来的力量必然会把中国由半殖民地变为独立国,而帝国主义则将被打倒,旧中国必然要变为新中国。
      旧中国变为新中国,还包含着国内旧的封建势力和新的人民势力之间的情况的变化。旧的封建地主阶级将被打倒,由统治者变为被统治者,这个阶级也就会要逐步归于消灭。人民则将在无产阶级领导之下,由被统治者变为统治者。这时,中国社会的性质就会起变化,由旧的半殖民地和半封建的社会变为新的民主的社会。
      这种互相转化的事情,过去已有经验。统治中国将近三百年的清朝帝国,曾在辛亥革命时期被打倒;而孙中山领导的革命同盟会,则曾经一度取得了胜利。在一九二四年至一九二七年的革命战争中,共产党和国民党联合的南方革命势力,曾经由弱小的力量变得强大起来,取得了北伐的胜利;而称雄一时的北洋军阀则被打倒了。一九二七年,共产党领导的人民力量,受了国民党反动势力的打击,变得很小了;但因肃清了自己内部的机会主义,就又逐步地壮大起来。在共产党领导的革命根据地内,农民由被统治者转化为统治者,地主则作了相反的转化。世界上总是这样以新的代替旧的,总是这样新陈代谢、除旧布新或推陈出新的。
      革命斗争中的某些时候,困难条件超过顺利条件,在这种时候,困难是矛盾的主要方面,顺利是其次要方面。然而由于革命党人的努力,能够逐步地克服困难,开展顺利的新局面,困难的局面让位于顺利的局面。一九二七年中国革命失败后的情形,中国红军在长征(24)中的情形,都是如此。现在的中日战争,中国又处在困难地位,但是我们能够改变这种情况,使中日双方的情况发生根本的变化。在相反的情形之下,顺利也能转化为困难,如果是革命党人犯了错误的话。一九二四年至一九二七年的革命的胜利,变为失败了。一九二七年以后在南方各省发展起来的革命根据地,至一九三四年都失败了。
      研究学问的时候,由不知到知的矛盾也是如此。当着我们刚才开始研究马克思主义的时候,对于马克思主义的无知或知之不多的情况,和马克思主义的知识之间,互相矛盾着。然而由于努力学习,可以由无知转化为有知,由知之不多转化为知之甚多,由对于马克思主义的盲目性改变为能够自由运用马克思主义。
      有人觉得有些矛盾并不是这样。例如,生产力和生产关系的矛盾,生产力是主要的;理论和实践的矛盾,实践是主要的;经济基础和上层建筑的矛盾,经济基础是主要的:它们的地位并不互相转化。这是机械唯物论的见解,不是辩证唯物论的见解。诚然,生产力、实践、经济基础,一般地表现为主要的决定的作用,谁不承认这一点,谁就不是唯物论者。然而,生产关系、理论、上层建筑这些方面,在一定条件之下,又转过来表现其为主要的决定的作用,这也是必须承认的。当着不变更生产关系,生产力就不能发展的时候,生产关系的变更就起了主要的决定的作用。当着如同列宁所说“没有革命的理论,就不会有革命的运动”(25)的时候,革命理论的创立和提倡就起了主要的决定的作用。当着某一件事情(任何事情都是一样)要做,但是还没有方针、方法、计划或政策的时候,确定方针、方法、计划或政策,也就是主要的决定的东西。当着政治文化等等上层建筑阻碍着经济基础的发展的时候,对于政治上和文化上的革新就成为主要的决定的东西了。我们这样说,是否违反了唯物论呢?没有。因为我们承认总的历史发展中是物质的东西决定精神的东西,是社会的存在决定社会的意识;但是同时又承认而且必须承认精神的东西的反作用,社会意识对于社会存在的反作用,上层建筑对于经济基础的反作用。这不是违反唯物论,正是避免了机械唯物论,坚持了辩证唯物论。
      在研究矛盾特殊性的问题中,如果不研究过程中主要的矛盾和非主要的矛盾以及矛盾之主要的方面和非主要的方面这两种情形,也就是说不研究这两种矛盾情况的差别性,那就将陷入抽象的研究,不能具体地懂得矛盾的情况,因而也就不能找出解决矛盾的正确的方法。这两种矛盾情况的差别性或特殊性,都是矛盾力量的不平衡性。世界上没有绝对地平衡发展的东西,我们必须反对平衡论,或均衡论。同时,这种具体的矛盾状况,以及矛盾的主要方面和非主要方面在发展过程中的变化,正是表现出新事物代替旧事物的力量。对于矛盾的各种不平衡情况的研究,对于主要的矛盾和非主要的矛盾、主要的矛盾方面和非主要的矛盾方面的研究,成为革命政党正确地决定其政治上和军事上的战略战术方针的重要方法之一,是一切共产党人都应当注意的。

    五 矛盾诸方面的同一性和斗争性

      在懂得了矛盾的普遍性和特殊性的问题之后,我们必须进而研究矛盾诸方面的同一性和斗争性的问题。
      同一性、统一性、一致性、互相渗透、互相贯通、互相依赖(或依存)、互相联结或互相合作,这些不同的名词都是一个意思,说的是如下两种情形:第一、事物发展过程中的每一种矛盾的两个方面,各以和它对立着的方面为自己存在的前提,双方共处于一个统一体中;第二、矛盾着的双方,依据一定的条件,各向着其相反的方面转化。这些就是所谓同一性。
      列宁说:“辩证法是这样的一种学说:它研究对立怎样能够是同一的,又怎样成为同一的(怎样变成同一的),——在怎样的条件之下它们互相转化,成为同一的,——为什么人的头脑不应当把这些对立看作死的、凝固的东西,而应当看作生动的、有条件的、可变动的、互相转化的东西。”(26)
      列宁这段话是什么意思呢?
      一切过程中矛盾着的各方面,本来是互相排斥、互相斗争、互相对立的。世界上一切事物的过程里和人们的思想里,都包含着这样带矛盾性的方面,无一例外。单纯的过程只有一对矛盾,复杂的过程则有一对以上的矛盾。各对矛盾之间,又互相成为矛盾。这样地组成客观世界的一切事物和人们的思想,并推使它们发生运动。
      如此说来,只是极不同一,极不统一,怎样又说是同一或统一呢?
      原来矛盾着的各方面,不能孤立地存在。假如没有和它作对的矛盾的一方,它自己这一方就失去了存在的条件。试想一切矛盾着的事物或人们心中矛盾着的概念,任何一方面能够独立地存在吗?没有生,死就不见;没有死,生也不见。没有上,无所谓下;没有下,也无所谓上。没有祸,无所谓福;没有福,也无所谓祸。没有顺利,无所谓困难;没有困难,也无所谓顺利。没有地主,就没有佃农;没有佃农,也就没有地主。没有资产阶级,就没有无产阶级;没有无产阶级,也就没有资产阶级。没有帝国主义的民族压迫,就没有殖民地和半殖民地;没有殖民地和半殖民地,也就没有帝国主义的民族压迫。一切对立的成分都是这样,因一定的条件,一面互相对立,一面又互相联结、互相贯通、互相渗透、互相依赖,这种性质,叫做同一性。一切矛盾着的方面都因一定条件具备着不同一性,所以称为矛盾。然而又具备着同一性,所以互相联结。列宁所谓辩证法研究“对立怎样能够是同一的”,就是说的这种情形。怎样能够呢?因为互为存在的条件。这是同一性的第一种意义。
      然而单说了矛盾双方互为存在的条件,双方之间有同一性,因而能够共处于一个统一体中,这样就够了吗?还不够。事情不是矛盾双方互相依存就完了,更重要的,还在于矛盾着的事物的互相转化。这就是说,事物内部矛盾着的两方面,因为一定的条件而各向着和自己相反的方面转化了去,向着它的对立方面所处的地位转化了去。这就是矛盾的同一性的第二种意义。
      为什么这里也有同一性呢?你们看,被统治的无产阶级经过革命转化为统治者,原来是统治者的资产阶级却转化为被统治者,转化到对方原来所占的地位。苏联已经是这样做了,全世界也将要这样做。试问其间没有在一定条件之下的联系和同一性,如何能够发生这样的变化呢?
      曾在中国近代历史的一定阶段上起过某种积极作用的国民党,因为它的固有的阶级性和帝国主义的引诱(这些就是条件),在一九二七年以后转化为反革命,又由于中日矛盾的尖锐化和共产党的统一战线政策(这些就是条件),而被迫着赞成抗日。矛盾着的东西这一个变到那一个,其间包含了一定的同一性。
      我们实行过的土地革命,已经是并且还将是这样的过程,拥有土地的地主阶级转化为失掉土地的阶级,而曾经是失掉土地的农民却转化为取得土地的小私有者。有无、得失之间,因一定条件而互相联结,二者具有同一性。在社会主义条件之下,农民的私有制又将转化为社会主义农业的公有制,苏联已经这样做了,全世界将来也会这样做。私产和公产之间有一条由此达彼的桥梁,哲学上名之曰同一性,或互相转化、互相渗透。
      巩固无产阶级的专政或人民的专政,正是准备着取消这种专政,走到消灭任何国家制度的更高阶段去的条件。建立和发展共产党,正是准备着消灭共产党和一切政党制度的条件。建立共产党领导的革命军,进行革命战争,正是准备着永远消灭战争的条件。这许多相反的东西,同时却是相成的东西。
      大家知道,战争与和平是互相转化的。战争转化为和平,例如第一次世界大战转化为战后的和平,中国的内战现在也停止了,出现了国内的和平。和平转化为战争,例如一九二七年的国共合作转化为战争,现在的世界和平局面也可能转化为第二次世界大战。为什么是这样?因为在阶级社会中战争与和平这样矛盾着的事物,在一定条件下具备着同一性。
      一切矛盾着的东西,互相联系着,不但在一定条件之下共处于一个统一体中,而且在一定条件之下互相转化,这就是矛盾的同一性的全部意义。列宁所谓“怎样成为同一的(怎样变成同一的),——在怎样的条件之下它们互相转化,成为同一的”,就是这个意思。
      “为什么人的头脑不应当把这些对立看作死的、凝固的东西,而应当看作生动的、有条件的、可变动的、互相转化的东西”呢?因为客观事物本来是如此的。客观事物中矛盾着的诸方面的统一或同一性,本来不是死的、凝固的,而是生动的、有条件的、可变动的、暂时的、相对的东西,一切矛盾都依一定条件向它们的反面转化着。这种情况,反映在人们的思想里,就成了马克思主义的唯物辩证法的宇宙观。只有现在的和历史上的反动的统治阶级以及为他们服务的形而上学,不是把对立的事物当作生动的、有条件的、可变动的、互相转化的东西去看,而是当作死的、凝固的东西去看,并且把这种错误的看法到处宣传,迷惑人民群众,以达其继续统治的目的。共产党人的任务就在于揭露反动派和形而上学的错误思想,宣传事物的本来的辩证法,促成事物的转化,达到革命的目的。
      所谓矛盾在一定条件下的同一性,就是说,我们所说的矛盾乃是现实的矛盾,具体的矛盾,而矛盾的互相转化也是现实的、具体的。神话中的许多变化,例如《山海经》中所说的“夸父追日”(27),《淮南子》中所说的“羿射九日”(28),《西游记》中所说的孙悟空七十二变(29)和《聊斋志异》(30)中的许多鬼狐变人的故事等等,这种神话中所说的矛盾的互相变化,乃是无数复杂的现实矛盾的互相变化对于人们所引起的一种幼稚的、想象的、主观幻想的变化,并不是具体的矛盾所表现出来的具体的变化。马克思说:“任何神话都是用想象和借助想象以征服自然力,支配自然力,把自然力加以形象化;因而,随着这些自然力之实际上被支配,神话也就消失了。”(31)这种神话中的(还有童话中的)千变万化的故事,虽然因为它们想象出人们征服自然力等等,而能够吸引人们的喜欢,并且最好的神话具有“永久的魅力”(32)(马克思),但神话并不是根据具体的矛盾之一定的条件而构成的,所以它们并不是现实之科学的反映。这就是说,神话或童话中矛盾构成的诸方面,并不是具体的同一性,只是幻想的同一性。科学地反映现实变化的同一性的,就是马克思主义的辩证法。
      为什么鸡蛋能够转化为鸡子,而石头不能够转化为鸡子呢?为什么战争与和平有同一性,而战争与石头却没有同一性呢?为什么人能生人不能生出其他的东西呢?没有别的,就是因为矛盾的同一性要在一定的必要的条件之下。缺乏一定的必要的条件,就没有任何的同一性。
      为什么俄国在一九一七年二月的资产阶级民主革命和同年十月的无产阶级社会主义革命直接地联系着,而法国资产阶级革命没有直接地联系于社会主义的革命,一八七一年的巴黎公社终于失败了呢?为什么蒙古和中亚细亚的游牧制度又直接地和社会主义联系了呢?为什么中国的革命可以避免资本主义的前途,可以和社会主义直接联系起来,不要再走西方国家的历史老路,不要经过一个资产阶级专政的时期呢?没有别的,都是由于当时的具体条件。一定的必要的条件具备了,事物发展的过程就发生一定的矛盾,而且这种或这些矛盾互相依存,又互相转化,否则,一切都不可能。
      同一性的问题如此。那末,什么是斗争性呢?同一性和斗争性的关系是怎样的呢?
      列宁说:“对立的统一(一致、同一、合一),是有条件的、一时的、暂存的、相对的。互相排斥的对立的斗争则是绝对的,正如发展、运动是绝对的一样。”(33)
      列宁这段话是什么意思呢?
      一切过程都有始有终,一切过程都转化为它们的对立物。一切过程的常住性是相对的,但是一种过程转化为他种过程的这种变动性则是绝对的。
      无论什么事物的运动都采取两种状态,相对地静止的状态和显著地变动的状态。两种状态的运动都是由事物内部包含的两个矛盾着的因素互相斗争所引起的。当着事物的运动在第一种状态的时候,它只有数量的变化,没有性质的变化,所以显出好似静止的面貌。当着事物的运动在第二种状态的时候,它已由第一种状态中的数量的变化达到了某一个最高点,引起了统一物的分解,发生了性质的变化,所以显出显著地变化的面貌。我们在日常生活中所看见的统一、团结、联合、调和、均势、相持、僵局、静止、有常、平衡、凝聚、吸引等等,都是事物处在量变状态中所显现的面貌。而统一物的分解,团结、联合、调和、均势、相持、僵局、静止、有常、平衡、凝聚、吸引等等状态的破坏,变到相反的状态,便都是事物在质变状态中、在一种过程过渡到他种过程的变化中所显现的面貌。事物总是不断地由第一种状态转化为第二种状态,而矛盾的斗争则存在于两种状态中,并经过第二种状态而达到矛盾的解决。所以说,对立的统一是有条件的、暂时的、相对的,而对立的互相排除的斗争则是绝对的。
      前面我们曾经说,两个相反的东西中间有同一性,所以二者能够共处于一个统一体中,又能够互相转化,这是说的条件性,即是说在一定条件之下,矛盾的东西能够统一起来,又能够互相转化;无此一定条件,就不能成为矛盾,不能共居,也不能转化。由于一定的条件才构成了矛盾的同一性,所以说同一性是有条件的、相对的。这里我们又说,矛盾的斗争贯串于过程的始终,并使一过程向着他过程转化,矛盾的斗争无所不在,所以说矛盾的斗争性是无条件的、绝对的。
      有条件的相对的同一性和无条件的绝对的斗争性相结合,构成了一切事物的矛盾运动。
      我们中国人常说:“相反相成。”(34)就是说相反的东西有同一性。这句话是辩证法的,是违反形而上学的。“相反”就是说两个矛盾方面的互相排斥,或互相斗争。“相成”就是说在一定条件之下两个矛盾方面互相联结起来,获得了同一性。而斗争性即寓于同一性之中,没有斗争性就没有同一性。
      在同一性中存在着斗争性,在特殊性中存在着普遍性,在个性中存在着共性。拿列宁的话来说,叫做“在相对的东西里面有着绝对的东西”(35)。

    六 对抗在矛盾中的地位

      在矛盾的斗争性的问题中,包含着对抗是什么的问题。我们回答道:对抗是矛盾斗争的一种形式,而不是矛盾斗争的一切形式。
      在人类历史中,存在着阶级的对抗,这是矛盾斗争的一种特殊的表现。剥削阶级和被剥削阶级之间的矛盾,无论在奴隶社会也好,封建社会也好,资本主义社会也好,互相矛盾着的两阶级,长期地并存于一个社会中,它们互相斗争着,但要待两阶级的矛盾发展到了一定的阶段的时候,双方才取外部对抗的形式,发展为革命。阶级社会中,由和平向战争的转化,也是如此。
      炸弹在未爆炸的时候,是矛盾物因一定条件共居于一个统一体中的时候。待至新的条件(发火)出现,才发生了爆炸。自然界中一切到了最后要采取外部冲突形式去解决旧矛盾产生新事物的现象,都有与此相仿佛的情形。
      认识这种情形,极为重要。它使我们懂得,在阶级社会中,革命和革命战争是不可避免的,舍此不能完成社会发展的飞跃,不能推翻反动的统治阶级,而使人民获得政权。共产党人必须揭露反动派所谓社会革命是不必要的和不可能的等等欺骗的宣传,坚持马克思列宁主义的社会革命论,使人民懂得,这不但是完全必要的,而且是完全可能的,整个人类的历史和苏联的胜利,都证明了这个科学的真理。
      但是我们必须具体地研究各种矛盾斗争的情况,不应当将上面所说的公式不适当地套在一切事物的身上。矛盾和斗争是普遍的、绝对的,但是解决矛盾的方法,即斗争的形式,则因矛盾的性质不同而不相同。有些矛盾具有公开的对抗性,有些矛盾则不是这样。根据事物的具体发展,有些矛盾是由原来还非对抗性的,而发展成为对抗性的;也有些矛盾则由原来是对抗性的,而发展成为非对抗性的。
      共产党内正确思想和错误思想的矛盾,如前所说,在阶级存在的时候,这是阶级矛盾对于党内的反映。这种矛盾,在开始的时候,或在个别的问题上,并不一定马上表现为对抗性的。但随着阶级斗争的发展,这种矛盾也就可能发展为对抗性的。苏联共产党的历史告诉我们:列宁、斯大林的正确思想和托洛茨基、布哈林等人的错误思想的矛盾,在开始的时候还没有表现为对抗的形式,但随后就发展为对抗的了。中国共产党的历史也有过这样的情形。我们党内许多同志的正确思想和陈独秀、张国焘(36)等人的错误思想的矛盾,在开始的时候也没有表现为对抗的形式,但随后就发展为对抗的了。目前我们党内的正确思想和错误思想的矛盾,没有表现为对抗的形式,如果犯错误的同志能够改正自己的错误,那就不会发展为对抗性的东西。因此,党一方面必须对于错误思想进行严肃的斗争,另方面又必须充分地给犯错误的同志留有自己觉悟的机会。在这样的情况下,过火的斗争,显然是不适当的。但如果犯错误的人坚持错误,并扩大下去,这种矛盾也就存在着发展为对抗性的东西的可能性。
      经济上城市和乡村的矛盾,在资本主义社会里面(那里资产阶级统治的城市残酷地掠夺乡村),在中国的国民党统治区域里面(那里外国帝国主义和本国买办大资产阶级所统治的城市极野蛮地掠夺乡村),那是极其对抗的矛盾。但在社会主义国家里面,在我们的革命根据地里面,这种对抗的矛盾就变为非对抗的矛盾,而当到达共产主义社会的时候,这种矛盾就会消灭。
      列宁说:“对抗和矛盾断然不同。在社会主义下,对抗消灭了,矛盾存在着。”(37)这就是说,对抗只是矛盾斗争的一种形式,而不是它的一切形式,不能到处套用这个公式。

    七 结  论

      说到这里,我们可以总起来说几句。事物矛盾的法则,即对立统一的法则,是自然和社会的根本法则,因而也是思维的根本法则。它是和形而上学的宇宙观相反的。它对于人类的认识史是一个大革命。按照辩证唯物论的观点看来,矛盾存在于一切客观事物和主观思维的过程中,矛盾贯串于一切过程的始终,这是矛盾的普遍性和绝对性。矛盾着的事物及其每一个侧面各有其特点,这是矛盾的特殊性和相对性。矛盾着的事物依一定的条件有同一性,因此能够共居于一个统一体中,又能够互相转化到相反的方面去,这又是矛盾的特殊性和相对性。然而矛盾的斗争则是不断的,不管在它们共居的时候,或者在它们互相转化的时候,都有斗争的存在,尤其是在它们互相转化的时候,斗争的表现更为显著,这又是矛盾的普遍性和绝对性。当着我们研究矛盾的特殊性和相对性的时候,要注意矛盾和矛盾方面的主要的和非主要的区别;当着我们研究矛盾的普遍性和斗争性的时候,要注意矛盾的各种不同的斗争形式的区别。否则就要犯错误。如果我们经过研究真正懂得了上述这些要点,我们就能够击破违反马克思列宁主义基本原则的不利于我们的革命事业的那些教条主义的思想;也能够使有经验的同志们整理自己的经验,使之带上原则性,而避免重复经验主义的错误。这些,就是我们研究矛盾法则的一些简单的结论。


      注  释
      〔1〕 见列宁《黑格尔〈哲学史讲演录〉一书摘要》(《列宁全集》第55卷,人民出版社1990年版,第213页)。
      〔2〕参见列宁《谈谈辩证法问题》:“统一物之分为两个部分以及对它的矛盾着的部分的认识……,是辩证法的实质(是辩证法的‘本质’之一,是它的基本的特点或特征之一,甚至可说是它的最基本的特点或特征)。”并参见《黑格尔〈逻辑学〉一书摘要》中关于“辩证法的要素”部分:“可以把辩证法简要地规定为关于对立面的统一的学说。这样就会抓住辩证法的核心,可是这需要说明和发挥。”(《列宁全集》第55卷,人民出版社1990年版,第305、192页)
      〔3〕德波林(一八八一——一九六三),苏联哲学家。一九二九年当选为苏联科学院院士。三十年代初,苏联哲学界发动对德波林学派的批判,认为他们犯了理论脱离实践、哲学脱离政治等唯心主义性质的错误。
      〔4〕见列宁《谈谈辩证法问题》。新的译文是:“有两种基本的(或两种可能的?或两种在历史上常见的?)发展(进化)观点:认为发展是减少和增加,是重复;以及认为发展是对立面的统一(统一物之分为两个互相排斥的对立面以及它们之间的相互关系)。”(《列宁全集》第55卷,人民出版社1990年版,第306页)
      〔5〕见《汉书·董仲舒传》。董仲舒(公元前一七九——前一○四)是孔子学派在西汉的主要代表,他曾经对汉武帝说:“道之大原出于天,天不变,道亦不变。”“道”是中国古代哲学家的通用语,它的意义是“道路”或“道理”,可作“法则”或“规律”解说。
      〔6〕 见恩格斯《反杜林论》第一编第十二节《辩证法。量和质》(《马克思恩格斯选集》第3卷,人民出版社1972年版,第160页)。
      〔7〕见列宁《谈谈辩证法问题》。新的译文是:“承认(发现)自然界的(也包括精神的和社会的)一切现象和过程具有矛盾着的、相互排斥的、对立的倾向。”(《列宁全集》第55卷,人民出版社1990年版,第306页)
      〔8〕以上所引恩格斯的三段话,均见恩格斯《反杜林论》第一编第十二节《辩证法。量和质》。其中第二段“高等数学的主要基础之一,就是矛盾……”,《反杜林论》中的原文是:“我们已经提到,高等数学的主要基础之一是这样一个矛盾:在一定条件下直线和曲线应当是一回事。高等数学还有另一个矛盾:在我们眼前相交的线,只要离开交点五六厘米,就应当认为是平行的、即使无限延长也不会相交的线。可是,高等数学利用这些和其他一些更加尖锐的矛盾获得了不仅是正确的、而且是初等数学所完全不能达到的成果。”(《马克思恩格斯选集》第3卷,人民出版社1972年版,第160—161页)
      〔9〕 见列宁《谈谈辩证法问题》(《列宁全集》第55卷,人民出版社1990年版,第305—306页)。
      〔10〕见列宁《谈谈辩证法问题》(《列宁全集》第55卷,人民出版社1990年版,第307页)。
      〔11〕 参见本卷《中国革命战争的战略问题》注〔11〕。
      〔12〕 见《孙子·谋攻》。
      〔13〕 魏徵(五八○——六四三),唐代初期的政治活动家和历史学家。本文引语见《资治通鉴》卷一百九十二。
      〔14〕《水浒传》是中国描写农民战争的著名小说。宋江是这部小说中农民武装的主要领袖。祝家庄在农民武装根据地梁山泊的附近,这个庄的统治者祝朝奉,是一个大恶霸地主。
      〔15〕木马计是希腊神话中的一个著名故事。据传说,古希腊人攻打特洛伊城,很久打不下来。后来,他们伪装撤退,在城下营房中留下了一匹腹内藏有一批勇士的大木马。特洛伊人不知道这是敌人的计策,把木马作为战利品拉进城去。深夜,勇士们走出木马,利用特洛伊人毫无戒备的时机,配合城外的军队,迅速地夺取了特洛伊城。
      〔16〕见列宁《再论工会、目前局势及托洛茨基同志和布哈林同志的错误》。新的译文是:“要真正地认识事物,就必须把握住、研究清楚它的一切方面、一切联系和‘中介’。我们永远也不会完全做到这一点,但是,全面性这一要求可以使我们防止犯错误和防止僵化。”(《列宁全集》第40卷,人民出版社1986年版,第291页)
      〔17〕 见本卷《湖南农民运动考察报告》注〔3〕。
      〔18〕 见本卷《论反对日本帝国主义的策略》注〔5〕。
      〔19〕参见本卷《关于蒋介石声明的声明》注〔1〕。
      〔20〕 见本卷《中国革命战争的战略问题》注〔4〕。
      〔21〕见本卷《论反对日本帝国主义的策略》注〔35〕。
      〔22〕一八九四年(甲午年)发生的中日战争,也称甲午战争。这次战争是日本军国主义者蓄意挑起的。日本军队先向朝鲜发动侵略并对中国的陆海军进行挑衅,继即大举侵入中国的东北。在战争中,中国军队曾经英勇作战,但是由于清朝政府的腐败以及缺乏坚决反对侵略的准备,中国方面遭到了失败。一八九五年,清朝政府和日本订立了可耻的马关条约,这个条约的主要内容是:中国割让台湾全岛及所有附属各岛屿、澎湖列岛和辽东半岛(后来在俄、德、法三国干涉下,日本同意由清政府偿付白银三千万两“赎还”该半岛),赔偿军费银二万万两,允许日本人在中国通商口岸开设工厂,开辟沙市、重庆、苏州、杭州等地为商埠。
      〔23〕 见本卷《论反对日本帝国主义的策略》注〔37〕。
      〔24〕 参见本卷《论反对日本帝国主义的策略》注〔22〕。
      〔25〕见列宁《俄国社会民主党人的任务》(《列宁全集》第2卷,人民出版社1984年版,第443页);并见列宁《怎么办?》第一章第四节(《列宁全集》第6卷,人民出版社1986年版,第23页)。
      〔26〕见列宁《黑格尔〈逻辑学〉一书摘要》。新的译文是:“辩证法是一种学说,它研究对立面怎样才能够同一,是怎样(怎样成为)同一的——在什么条件下它们是相互转化而同一的,——为什么人的头脑不应该把这些对立面看作僵死的、凝固的东西,而应该看作活生生的、有条件的、活动的、彼此转化的东西。”(《列宁全集》第55卷,人民出版社1990年版,第90页)
      〔27〕《山海经》是一部中国古代地理著作,其中记载了不少远古的神话传说。夸父是《山海经·海外北经》上记载的一个神人。据说:“夸父与日逐走。入日,渴欲得饮,饮于河渭。河渭不足,北饮大泽。未至,道渴而死。弃其杖,化为邓林。”
      〔28〕羿是中国古代传说中的英雄,“射日”是关于他善射的著名故事。据西汉淮南王刘安(公元前二世纪人)及其门客所著《淮南子》一书说:“尧之时,十日并出,焦禾稼,杀草木,而民无所食。猰豸、凿齿、九婴、大风、封狶、修蛇,皆为民害。尧乃使羿……上射十日而下杀猰豸。……万民皆喜。”东汉著作家王逸(公元二世纪人)关于屈原诗篇《天问》的注释说:“淮南言,尧时十日并出,草木焦枯。尧命羿仰射十日,中其九日……留其一日。”
      〔29〕《西游记》是明代作家吴承恩著的一部神话小说。孙悟空是书中的主角。他是一个神猴,有七十二变的法术,能够随意变成各式各样的鸟兽虫鱼草木器物或者人形。
      〔30〕 《聊斋志异》是清代文学家蒲松龄著的短篇小说集,大部分是叙述神仙狐鬼的故事。
      〔31〕见马克思《〈政治经济学批判〉导言》(《马克思恩格斯选集》第2卷,人民出版社1972年版,第113页)。
      〔32〕见马克思《〈政治经济学批判〉导言》(《马克思恩格斯选集》第2卷,人民出版社1972年版,第114页)。
      〔33〕见列宁《谈谈辩证法问题》。新的译文是:“对立面的统一(一致、同一、均势)是有条件的、暂时的、易逝的、相对的。相互排斥的对立面的斗争是绝对的,正如发展、运动是绝对的一样。”(《列宁全集》第55卷,人民出版社1990年版,第306页)
      〔34〕见东汉著名史学家班固(三二——九二)所著《汉书·艺文志》,原文是:“诸子十家,其可观者,九家而已。皆起于王道既微,诸侯力政,时君世主,好恶殊方。是以九家之术,蜂出并作,各引一端,崇其所善,以此驰说,取合诸侯。其言虽殊,辟犹水火,相灭亦相生也。仁之与义,敬之与和,相反而皆相成也。”
      〔35〕 见列宁《谈谈辩证法问题》。新的译文是:“相对中有绝对。”(《列宁全集》第55卷,人民出版社1990年版,第307页)
      〔36〕见本卷《论反对日本帝国主义的策略》注〔24〕。
      〔37〕见列宁《在尼·布哈林〈过渡时期经济学〉一书上作的批注和评论》(《列宁全集》第60卷,人民出版社1990年版,第282页)。

    ]]> + + + + + + <h3 id="矛盾论"><a href="#矛盾论" class="headerlink" title="矛盾论"></a>矛盾论</h3><p>(一九三七年八月) </p> +<blockquote> +<p>这篇哲学论文,是毛泽东继《实践论》之后,为了同一的目的,即为了克服存 + + + + + + + + + (转)实践论 + + http://wujingchao.github.io/2020/10/05/practice/ + 2020-10-05T03:49:39.000Z + 2020-10-05T03:50:00.000Z + + 实践论

    论认识和实践的关系——知和行的关系

    (一九三七年七月)

    在中国共产党内,曾经有一部分教条主义的同志长期拒绝中国革命的经验,否认“马克思主义不是教条而是行动的指南”这个真理,而只生吞活剥马克思主义书籍中的只言片语,去吓唬人们。还有另一部分经验主义的同志长期拘守于自身的片断经验,不了解理论对于革命实践的重要性,看不见革命的全局,虽然也是辛苦地——但却是盲目地在工作。这两类同志的错误思想,特别是教条主义思想,曾经在一九三一年至一九三四年使得中国革命受了极大的损失,而教条主义者却是披着马克思主义的外衣迷惑了广大的同志。毛泽东的《实践论》,是为着用马克思主义的认识论观点去揭露党内的教条主义和经验主义——特别是教条主义这些主观主义的错误而写的。因为重点是揭露看轻实践的教条主义这种主观主义,故题为《实践论》。毛泽东曾以这篇论文的观点在延安的抗日军事政治大学作过讲演。

      马克思以前的唯物论,离开人的社会性,离开人的历史发展,去观察认识问题,因此不能了解认识对社会实践的依赖关系,即认识对生产和阶级斗争的依赖关系。
      首先,马克思主义者认为人类的生产活动是最基本的实践活动,是决定其他一切活动的东西。人的认识,主要地依赖于物质的生产活动,逐渐地了解自然的现象、自然的性质、自然的规律性、人和自然的关系;而且经过生产活动,也在各种不同程度上逐渐地认识了人和人的一定的相互关系。一切这些知识,离开生产活动是不能得到的。在没有阶级的社会中,每个人以社会一员的资格,同其他社会成员协力,结成一定的生产关系,从事生产活动,以解决人类物质生活问题。在各种阶级的社会中,各阶级的社会成员,则又以各种不同的方式,结成一定的生产关系,从事生产活动,以解决人类物质生活问题。这是人的认识发展的基本来源。
      人的社会实践,不限于生产活动一种形式,还有多种其他的形式,阶级斗争,政治生活,科学和艺术的活动,总之社会实际生活的一切领域都是社会的人所参加的。因此,人的认识,在物质生活以外,还从政治生活文化生活中(与物质生活密切联系),在各种不同程度上,知道人和人的各种关系。其中,尤以各种形式的阶级斗争,给予人的认识发展以深刻的影响。在阶级社会中,每一个人都在一定的阶级地位中生活,各种思想无不打上阶级的烙印。
      马克思主义者认为人类社会的生产活动,是一步又一步地由低级向高级发展,因此,人们的认识,不论对于自然界方面,对于社会方面,也都是一步又一步地由低级向高级发展,即由浅入深,由片面到更多的方面。在很长的历史时期内,大家对于社会的历史只能限于片面的了解,这一方面是由于剥削阶级的偏见经常歪曲社会的历史,另方面,则由于生产规模的狭小,限制了人们的眼界。人们能够对于社会历史的发展作全面的历史的了解,把对于社会的认识变成了科学,这只是到了伴随巨大生产力——大工业而出现近代无产阶级的时候,这就是马克思主义的科学。
      马克思主义者认为,只有人们的社会实践,才是人们对于外界认识的真理性的标准。实际的情形是这样的,只有在社会实践过程中(物质生产过程中,阶级斗争过程中,科学实验过程中),人们达到了思想中所预想的结果时,人们的认识才被证实了。人们要想得到工作的胜利即得到预想的结果,一定要使自己的思想合于客观外界的规律性,如果不合,就会在实践中失败。人们经过失败之后,也就从失败取得教训,改正自己的思想使之适合于外界的规律性,人们就能变失败为胜利,所谓“失败者成功之母”,“吃一堑长一智”,就是这个道理。辩证唯物论的认识论把实践提到第一的地位,认为人的认识一点也不能离开实践,排斥一切否认实践重要性、使认识离开实践的错误理论。列宁这样说过:“实践高于(理论的)认识,因为它不但有普遍性的品格,而且还有直接现实性的品格。”⑴马克思主义的哲学辩证唯物论有两个最显著的特点:一个是它的阶级性,公然申明辩证唯物论是为无产阶级服务的;再一个是它的实践性,强调理论对于实践的依赖关系,理论的基础是实践,又转过来为实践服务。判定认识或理论之是否真理,不是依主观上觉得如何而定,而是依客观上社会实践的结果如何而定。真理的标准只能是社会的实践。实践的观点是辩证唯物论的认识论之第一的和基本的观点⑵。
      然而人的认识究竟怎样从实践发生,而又服务于实践呢?这只要看一看认识的发展过程就会明了的。
      原来人在实践过程中,开始只是看到过程中各个事物的现象方面,看到各个事物的片面,看到各个事物之间的外部联系。例如有些外面的人们到延安来考察,头一二天,他们看到了延安的地形、街道、屋宇,接触了许多的人,参加了宴会、晚会和群众大会,听到了各种说话,看到了各种文件,这些就是事物的现象,事物的各个片面以及这些事物的外部联系。这叫做认识的感性阶段,就是感觉和印象的阶段。也就是延安这些各别的事物作用于考察团先生们的感官,引起了他们的感觉,在他们的脑子中生起了许多的印象,以及这些印象间的大概的外部的联系,这是认识的第一个阶段。在这个阶段中,人们还不能造成深刻的概念,作出合乎论理(即合乎逻辑)的结论。
      社会实践的继续,使人们在实践中引起感觉和印象的东西反复了多次,于是在人们的脑子里生起了一个认识过程中的突变(即飞跃),产生了概念。概念这种东西已经不是事物的现象,不是事物的各个片面,不是它们的外部联系,而是抓着了事物的本质,事物的全体,事物的内部联系了。概念同感觉,不但是数量上的差别,而且有了性质上的差别。循此继进,使用判断和推理的方法,就可产生出合乎论理的结论来。《三国演义》上所谓“眉头一皱计上心来”,我们普通说话所谓“让我想一想”,就是人在脑子中运用概念以作判断和推理的工夫。这是认识的第二个阶段。外来的考察团先生们在他们集合了各种材料,加上他们“想了一想”之后,他们就能够作出“共产党的抗日民族统一战线的政策是彻底的、诚恳的和真实的”这样一个判断了。在他们作出这个判断之后,如果他们对于团结救国也是真实的的话,那末他们就能够进一步作出这样的结论:“抗日民族统一战线是能够成功的。”这个概念、判断和推理的阶段,在人们对于一个事物的整个认识过程中是更重要的阶段,也就是理性认识的阶段。认识的真正任务在于经过感觉而到达于思维,到达于逐步了解客观事物的内部矛盾,了解它的规律性,了解这一过程和那一过程间的内部联系,即到达于论理的认识。重复地说,论理的认识所以和感性的认识不同,是因为感性的认识是属于事物之片面的、现象的、外部联系的东西,论理的认识则推进了一大步,到达了事物的全体的、本质的、内部联系的东西,到达了暴露周围世界的内在的矛盾,因而能在周围世界的总体上,在周围世界一切方面的内部联系上去把握周围世界的发展。
      这种基于实践的由浅入深的辩证唯物论的关于认识发展过程的理论,在马克思主义以前,是没有一个人这样解决过的。马克思主义的唯物论,第一次正确地解决了这个问题,唯物地而且辩证地指出了认识的深化的运动,指出了社会的人在他们的生产和阶级斗争的复杂的、经常反复的实践中,由感性认识到论理认识的推移的运动。列宁说过:“物质的抽象,自然规律的抽象,价值的抽象以及其他等等,一句话,一切科学的(正确的、郑重的、非瞎说的)抽象,都更深刻、更正确、更完全地反映着自然。”⑶马克思列宁主义认为:认识过程中两个阶段的特性,在低级阶段,认识表现为感性的,在高级阶段,认识表现为论理的,但任何阶段,都是统一的认识过程中的阶段。感性和理性二者的性质不同,但又不是互相分离的,它们在实践的基础上统一起来了。我们的实践证明:感觉到了的东西,我们不能立刻理解它,只有理解了的东西才更深刻地感觉它。感觉只解决现象问题,理论才解决本质问题。这些问题的解决,一点也不能离开实践。无论何人要认识什么事物,除了同那个事物接触,即生活于(实践于)那个事物的环境中,是没有法子解决的。不能在封建社会就预先认识资本主义社会的规律,因为资本主义还未出现,还无这种实践。马克思主义只能是资本主义社会的产物。马克思不能在自由资本主义时代就预先具体地认识帝国主义时代的某些特异的规律,因为帝国主义这个资本主义最后阶段还未到来,还无这种实践,只有列宁和斯大林才能担当此项任务。马克思、恩格斯、列宁、斯大林之所以能够作出他们的理论,除了他们的天才条件之外,主要地是他们亲自参加了当时的阶级斗争和科学实验的实践,没有这后一个条件,任何天才也是不能成功的。“秀才不出门,全知天下事”,在技术不发达的古代只是一句空话,在技术发达的现代虽然可以实现这句话,然而真正亲知的是天下实践着的人,那些人在他们的实践中间取得了“知”,经过文字和技术的传达而到达于“秀才”之手,秀才乃能间接地“知天下事”。如果要直接地认识某种或某些事物,便只有亲身参加于变革现实、变革某种或某些事物的实践的斗争中,才能触到那种或那些事物的现象,也只有在亲身参加变革现实的实践的斗争中,才能暴露那种或那些事物的本质而理解它们。这是任何人实际上走着的认识路程,不过有些人故意歪曲地说些反对的话罢了。世上最可笑的是那些“知识里手”⑷,有了道听途说的一知半解,便自封为“天下第一”,适足见其不自量而已。知识的问题是一个科学问题,来不得半点的虚伪和骄傲,决定地需要的倒是其反面——诚实和谦逊的态度。你要有知识,你就得参加变革现实的实践。你要知道梨子的滋味,你就得变革梨子,亲口吃一吃。你要知道原子的组织同性质,你就得实行物理学和化学的实验,变革原子的情况。你要知道革命的理论和方法,你就得参加革命。一切真知都是从直接经验发源的。但人不能事事直接经验,事实上多数的知识都是间接经验的东西,这就是一切古代的和外域的知识。这些知识在古人在外人是直接经验的东西,如果在古人外人直接经验时是符合于列宁所说的条件“科学的抽象”,是科学地反映了客观的事物,那末这些知识是可靠的,否则就是不可靠的。所以,一个人的知识,不外直接经验的和间接经验的两部分。而且在我为间接经验者,在人则仍为直接经验。因此,就知识的总体说来,无论何种知识都是不能离开直接经验的。任何知识的来源,在于人的肉体感官对客观外界的感觉,否认了这个感觉,否认了直接经验,否认亲自参加变革现实的实践,他就不是唯物论者。“知识里手”之所以可笑,原因就是在这个地方。中国人有一句老话:“不入虎穴,焉得虎子。”这句话对于人们的实践是真理,对于认识论也是真理。离开实践的认识是不可能的。
      为了明了基于变革现实的实践而产生的辩证唯物论的认识运动——认识的逐渐深化的运动,下面再举出几个具体的例子。
      无产阶级对于资本主义社会的认识,在其实践的初期——破坏机器和自发斗争时期,他们还只在感性认识的阶段,只认识资本主义各个现象的片面及其外部的联系。这时,他们还是一个所谓“自在的阶级”。但是到了他们实践的第二个时期——有意识有组织的经济斗争和政治斗争的时期,由于实践,由于长期斗争的经验,经过马克思、恩格斯用科学的方法把这种种经验总结起来,产生了马克思主义的理论,用以教育无产阶级,这样就使无产阶级理解了资本主义社会的本质,理解了社会阶级的剥削关系,理解了无产阶级的历史任务,这时他们就变成了一个“自为的阶级”。
      中国人民对于帝国主义的认识也是这样。第一阶段是表面的感性的认识阶段,表现在太平天国运动和义和团运动等笼统的排外主义的斗争上⑸。第二阶段才进到理性的认识阶段,看出了帝国主义内部和外部的各种矛盾,并看出了帝国主义联合中国买办阶级和封建阶级以压榨中国人民大众的实质,这种认识是从一九一九年五四运动⑹前后才开始的。
      我们再来看战争。战争的领导者,如果他们是一些没有战争经验的人,对于一个具体的战争(例如我们过去十年的土地革命战争)的深刻的指导规律,在开始阶段是不了解的。他们在开始阶段只是身历了许多作战的经验,而且败仗是打得很多的。然而由于这些经验(胜仗,特别是败仗的经验),使他们能够理解贯串整个战争的内部的东西,即那个具体战争的规律性,懂得了战略和战术,因而能够有把握地去指导战争。此时,如果改换一个无经验的人去指导,又会要在吃了一些败仗之后(有了经验之后)才能理会战争的正确的规律。
      常常听到一些同志在不能勇敢接受工作任务时说出来的一句话:没有把握。为什么没有把握呢?因为他对于这项工作的内容和环境没有规律性的了解,或者他从来就没有接触过这类工作,或者接触得不多,因而无从谈到这类工作的规律性。及至把工作的情况和环境给以详细分析之后,他就觉得比较地有了把握,愿意去做这项工作。如果这个人在这项工作中经过了一个时期,他有了这项工作的经验了,而他又是一个肯虚心体察情况的人,不是一个主观地、片面地、表面地看问题的人,他就能够自己做出应该怎样进行工作的结论,他的工作勇气也就可以大大地提高了。只有那些主观地、片面地和表面地看问题的人,跑到一个地方,不问环境的情况,不看事情的全体(事情的历史和全部现状),也不触到事情的本质(事情的性质及此一事情和其他事情的内部联系),就自以为是地发号施令起来,这样的人是没有不跌交子的。
      由此看来,认识的过程,第一步,是开始接触外界事情,属于感觉的阶段。第二步,是综合感觉的材料加以整理和改造,属于概念、判断和推理的阶段。只有感觉的材料十分丰富(不是零碎不全)和合于实际(不是错觉),才能根据这样的材料造出正确的概念和论理来。
      这里有两个要点必须着重指明。第一个,在前面已经说过的,这里再重复说一说,就是理性认识依赖于感性认识的问题。如果以为理性认识可以不从感性认识得来,他就是一个唯心论者。哲学史上有所谓“唯理论”一派,就是只承认理性的实在性,不承认经验的实在性,以为只有理性靠得住,而感觉的经验是靠不住的,这一派的错误在于颠倒了事实。理性的东西所以靠得住,正是由于它来源于感性,否则理性的东西就成了无源之水,无本之木,而只是主观自生的靠不住的东西了。从认识过程的秩序说来,感觉经验是第一的东西,我们强调社会实践在认识过程中的意义,就在于只有社会实践才能使人的认识开始发生,开始从客观外界得到感觉经验。一个闭目塞听、同客观外界根本绝缘的人,是无所谓认识的。认识开始于经验——这就是认识论的唯物论。
      第二是认识有待于深化,认识的感性阶段有待于发展到理性阶段——这就是认识论的辩证法⑺。如果以为认识可以停顿在低级的感性阶段,以为只有感性认识可靠,而理性认识是靠不住的,这便是重复了历史上的“经验论”的错误。这种理论的错误,在于不知道感觉材料固然是客观外界某些真实性的反映(我这里不来说经验只是所谓内省体验的那种唯心的经验论),但它们仅是片面的和表面的东西,这种反映是不完全的,是没有反映事物本质的。要完全地反映整个的事物,反映事物的本质,反映事物的内部规律性,就必须经过思考作用,将丰富的感觉材料加以去粗取精、去伪存真、由此及彼、由表及里的改造制作工夫,造成概念和理论的系统,就必须从感性认识跃进到理性认识。这种改造过的认识,不是更空虚了更不可靠了的认识,相反,只要是在认识过程中根据于实践基础而科学地改造过的东西,正如列宁所说乃是更深刻、更正确、更完全地反映客观事物的东西。庸俗的事务主义家不是这样,他们尊重经验而看轻理论,因而不能通观客观过程的全体,缺乏明确的方针,没有远大的前途,沾沾自喜于一得之功和一孔之见。这种人如果指导革命,就会引导革命走上碰壁的地步。
      理性认识依赖于感性认识,感性认识有待于发展到理性认识,这就是辩证唯物论的认识论。哲学上的“唯理论”和“经验论”都不懂得认识的历史性或辩证性,虽然各有片面的真理(对于唯物的唯理论和经验论而言,非指唯心的唯理论和经验论),但在认识论的全体上则都是错误的。由感性到理性之辩证唯物论的认识运动,对于一个小的认识过程(例如对于一个事物或一件工作的认识)是如此,对于一个大的认识过程(例如对于一个社会或一个革命的认识)也是如此。
      然而认识运动至此还没有完结。辩证唯物论的认识运动,如果只到理性认识为止,那末还只说到问题的一半。而且对于马克思主义的哲学说来,还只说到非十分重要的那一半。马克思主义的哲学认为十分重要的问题,不在于懂得了客观世界的规律性,因而能够解释世界,而在于拿了这种对于客观规律性的认识去能动地改造世界。在马克思主义看来,理论是重要的,它的重要性充分地表现在列宁说过的一句话:“没有革命的理论,就不会有革命的运动。”⑻然而马克思主义看重理论,正是,也仅仅是,因为它能够指导行动。如果有了正确的理论,只是把它空谈一阵,束之高阁,并不实行,那末,这种理论再好也是没有意义的。认识从实践始,经过实践得到了理论的认识,还须再回到实践去。认识的能动作用,不但表现于从感性的认识到理性的认识之能动的飞跃,更重要的还须表现于从理性的认识到革命的实践这一个飞跃。抓着了世界的规律性的认识,必须把它再回到改造世界的实践中去,再用到生产的实践、革命的阶级斗争和民族斗争的实践以及科学实验的实践中去。这就是检验理论和发展理论的过程,是整个认识过程的继续。理论的东西之是否符合于客观真理性这个问题,在前面说的由感性到理性之认识运动中是没有完全解决的,也不能完全解决的。要完全地解决这个问题,只有把理性的认识再回到社会实践中去,应用理论于实践,看它是否能够达到预想的目的。许多自然科学理论之所以被称为真理,不但在于自然科学家们创立这些学说的时候,而且在于为尔后的科学实践所证实的时候。马克思列宁主义之所以被称为真理,也不但在于马克思、恩格斯、列宁、斯大林等人科学地构成这些学说的时候,而且在于为尔后革命的阶级斗争和民族斗争的实践所证实的时候。辩证唯物论之所以为普遍真理,在于经过无论什么人的实践都不能逃出它的范围。人类认识的历史告诉我们,许多理论的真理性是不完全的,经过实践的检验而纠正了它们的不完全性。许多理论是错误的,经过实践的检验而纠正其错误。所谓实践是真理的标准,所谓“生活、实践底观点,应该是认识论底首先的和基本的观点”⑼,理由就在这个地方。斯大林说得好:“理论若不和革命实践联系起来,就会变成无对象的理论,同样,实践若不以革命理论为指南,就会变成盲目的实践。”⑽
      说到这里,认识运动就算完成了吗?我们的答复是完成了,又没有完成。社会的人们投身于变革在某一发展阶段内的某一客观过程的实践中(不论是关于变革某一自然过程的实践,或变革某一社会过程的实践),由于客观过程的反映和主观能动性的作用,使得人们的认识由感性的推移到了理性的,造成了大体上相应于该客观过程的法则性的思想、理论、计划或方案,然后再应用这种思想、理论、计划或方案于该同一客观过程的实践,如果能够实现预想的目的,即将预定的思想、理论、计划、方案在该同一过程的实践中变为事实,或者大体上变为事实,那末,对于这一具体过程的认识运动算是完成了。例如,在变革自然的过程中,某一工程计划的实现,某一科学假想的证实,某一器物的制成,某一农产的收获,在变革社会过程中某一罢工的胜利,某一战争的胜利,某一教育计划的实现,都算实现了预想的目的。然而一般地说来,不论在变革自然或变革社会的实践中,人们原定的思想、理论、计划、方案,毫无改变地实现出来的事,是很少的。这是因为从事变革现实的人们,常常受着许多的限制,不但常常受着科学条件和技术条件的限制,而且也受着客观过程的发展及其表现程度的限制(客观过程的方面及本质尚未充分暴露)。在这种情形之下,由于实践中发现前所未料的情况,因而部分地改变思想、理论、计划、方案的事是常有的,全部地改变的事也是有的。即是说,原定的思想、理论、计划、方案,部分地或全部地不合于实际,部分错了或全部错了的事,都是有的。许多时候须反复失败过多次,才能纠正错误的认识,才能到达于和客观过程的规律性相符合,因而才能够变主观的东西为客观的东西,即在实践中得到预想的结果。但是不管怎样,到了这种时候,人们对于在某一发展阶段内的某一客观过程的认识运动,算是完成了。
      然而对于过程的推移而言,人们的认识运动是没有完成的。任何过程,不论是属于自然界的和属于社会的,由于内部的矛盾和斗争,都是向前推移向前发展的,人们的认识运动也应跟着推移和发展。依社会运动来说,真正的革命的指导者,不但在于当自己的思想、理论、计划、方案有错误时须得善于改正,如同上面已经说到的,而且在于当某一客观过程已经从某一发展阶段向另一发展阶段推移转变的时候,须得善于使自己和参加革命的一切人员在主观认识上也跟着推移转变,即是要使新的革命任务和新的工作方案的提出,适合于新的情况的变化。革命时期情况的变化是很急速的,如果革命党人的认识不能随之而急速变化,就不能引导革命走向胜利。
      然而思想落后于实际的事是常有的,这是因为人的认识受了许多社会条件的限制的缘故。我们反对革命队伍中的顽固派,他们的思想不能随变化了的客观情况而前进,在历史上表现为右倾机会主义。这些人看不出矛盾的斗争已将客观过程推向前进了,而他们的认识仍然停止在旧阶段。一切顽固党的思想都有这样的特征。他们的思想离开了社会的实践,他们不能站在社会车轮的前头充任向导的工作,他们只知跟在车子后面怨恨车子走得太快了,企图把它向后拉,开倒车。
      我们也反对“左”翼空谈主义。他们的思想超过客观过程的一定发展阶段,有些把幻想看作真理,有些则把仅在将来有现实可能性的理想,勉强地放在现时来做,离开了当前大多数人的实践,离开了当前的现实性,在行动上表现为冒险主义。
      唯心论和机械唯物论,机会主义和冒险主义,都是以主观和客观相分裂,以认识和实践相脱离为特征的。以科学的社会实践为特征的马克思列宁主义的认识论,不能不坚决反对这些错误思想。马克思主义者承认,在绝对的总的宇宙发展过程中,各个具体过程的发展都是相对的,因而在绝对真理的长河中,人们对于在各个一定发展阶段上的具体过程的认识只具有相对的真理性。无数相对的真理之总和,就是绝对的真理⑾。客观过程的发展是充满着矛盾和斗争的发展,人的认识运动的发展也是充满着矛盾和斗争的发展。一切客观世界的辩证法的运动,都或先或后地能够反映到人的认识中来。社会实践中的发生、发展和消灭的过程是无穷的,人的认识的发生、发展和消灭的过程也是无穷的。根据于一定的思想、理论、计划、方案以从事于变革客观现实的实践,一次又一次地向前,人们对于客观现实的认识也就一次又一次地深化。客观现实世界的变化运动永远没有完结,人们在实践中对于真理的认识也就永远没有完结。马克思列宁主义并没有结束真理,而是在实践中不断地开辟认识真理的道路。我们的结论是主观和客观、理论和实践、知和行的具体的历史的统一,反对一切离开具体历史的“左”的或右的错误思想。
      社会的发展到了今天的时代,正确地认识世界和改造世界的责任,已经历史地落在无产阶级及其政党的肩上。这种根据科学认识而定下来的改造世界的实践过程,在世界、在中国均已到达了一个历史的时节——自有历史以来未曾有过的重大时节,这就是整个儿地推翻世界和中国的黑暗面,把它们转变过来成为前所未有的光明世界。无产阶级和革命人民改造世界的斗争,包括实现下述的任务:改造客观世界,也改造自己的主观世界——改造自己的认识能力,改造主观世界同客观世界的关系。地球上已经有一部分实行了这种改造,这就是苏联。他们还正在促进这种改造过程。中国人民和世界人民也都正在或将要通过这样的改造过程。所谓被改造的客观世界,其中包括了一切反对改造的人们,他们的被改造,须要通过强迫的阶段,然后才能进入自觉的阶段。世界到了全人类都自觉地改造自己和改造世界的时候,那就是世界的共产主义时代。
      通过实践而发现真理,又通过实践而证实真理和发展真理。从感性认识而能动地发展到理性认识,又从理性认识而能动地指导革命实践,改造主观世界和客观世界。实践、认识、再实践、再认识,这种形式,循环往复以至无穷,而实践和认识之每一循环的内容,都比较地进到了高一级的程度。这就是辩证唯物论的全部认识论,这就是辩证唯物论的知行统一观。


      注  释
      〔1〕见列宁《黑格尔〈逻辑学〉一书摘要》。新的译文是:“实践高于(理论的)认识,因为它不仅具有普遍性的品格,而且还具有直接现实性的品格。”(《列宁全集》第55卷,人民出版社1990年版,第183页)
      〔2〕参见马克思《关于费尔巴哈的提纲》(《马克思恩格斯选集》第1卷,人民出版社1972年版,第16—19页)和列宁《唯物主义和经验批判主义》第二章第六节(《列宁全集》第18卷,人民出版社1988年版,第144页)。
      〔3〕 见列宁《黑格尔〈逻辑学〉一书摘要》(《列宁全集》第55卷,人民出版社1990年版,第142页)。
      〔4〕里手,湖南方言,内行的意思。
      〔5〕一九五一年三月二十七日,毛泽东在致李达的信中说:“《实践论》中将太平天国放在排外主义一起说不妥,出选集时拟加修改,此处暂仍照原。”
      〔6〕五四运动是一九一九年五月四日发生的反帝反封建的爱国运动。当时,第一次世界大战刚刚结束,英、美、法、日、意等战胜国在巴黎召开对德和会,决定由日本继承德国在中国山东的特权。中国是参加对德宣战的战胜国之一,但北洋军阀政府却准备接受这个决定。五月四日,北京学生游行示威,反对帝国主义的这一无理决定和北洋军阀政府的妥协。这次运动迅速地获得了全国人民的响应,到六月三日以后,发展成为有工人阶级、城市小资产阶级和民族资产阶级参加的广大群众性的反帝反封建的爱国运动。五四运动也是反对封建文化的新文化运动。以一九一五年《青年杂志》(后改名《新青年》)创刊为起点的新文化运动,竖起“民主”和“科学”的旗帜,反对旧道德,提倡新道德,反对旧文学,提倡新文学。五四运动中的先进分子接受了马克思主义,使新文化运动发展成为马克思主义思想运动,他们致力于马克思主义同中国工人运动相结合,在思想上和干部上准备了中国共产党的成立。
      〔7〕参见列宁《黑格尔〈逻辑学〉一书摘要》:“要理解,就必须从经验开始理解、研究,从经验上升到一般。”(《列宁全集》第55卷,人民出版社1990年版,第175页)
      〔8〕见列宁《俄国社会民主党人的任务》(《列宁全集》第2卷,人民出版社1984年版,第443页);并见列宁《怎么办?》第一章第四节(《列宁全集》第6卷,人民出版社1986年版,第23页)。
      〔9〕 见列宁《唯物主义和经验批判主义》第二章第六节(《列宁全集》第18卷,人民出版社1988年版,第144页)。
      〔10〕见斯大林《论列宁主义基础》第三部分《理论》。新的译文是:“离开革命实践的理论是空洞的理论,而不以革命理论为指南的实践是盲目的实践。”(《斯大林选集》上卷,人民出版社1979年版,第199—200页)
      〔11〕参见列宁《唯物主义和经验批判主义》第二章第五节。原文是:“人类思维按其本性是能够给我们提供并且正在提供由相对真理的总和所构成的绝对真理的。”(《列宁全集》第18卷,人民出版社1988年版,第135页)

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    + + + + + + <h3 id="实践论"><a href="#实践论" class="headerlink" title="实践论"></a>实践论</h3><h4 id="论认识和实践的关系——知和行的关系"><a href="#论认识和实践的关系——知和行的关系" class="header + + + + + +
    + + + 一次技术分享:Android分区存储 + + http://wujingchao.github.io/2020/09/09/scope-storage/ + 2020-09-08T16:00:00.000Z + 2020-09-19T06:47:42.000Z + + 一次技术分享:Android分区存储

    PPT

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    + + + + + + <h3 id="一次技术分享-Android分区存储"><a href="#一次技术分享-Android分区存储" class="headerlink" title="一次技术分享:Android分区存储"></a>一次技术分享:Android分区存储</h3><p><a hre + + + + + + + +
    + + + Ray Dalio 《原则》 + + http://wujingchao.github.io/2020/05/04/principle/ + 2020-05-03T16:00:00.000Z + 2020-05-05T12:52:57.000Z + + Ray Dalio 《原则》
    • 拥抱现实,应对现实
      • 做一个超级现实的人
        • 梦想+现实+决心=成功的生活
      • 真相是任何良好结果的根本依据
      • 做到头脑极度开放、极度透明
        • 对于快速学习和有效改变而言,头脑极度开放、极度透明是价值无限的
        • 不要担心其他人的看法,使之成为你的障碍
        • 拥抱极度求真和极度透明将带来更有意义的工作和更有意义的人际关系
      • 观察自然,学习现实规律
        • 不要固守你对事物”应该“是什么样的看法,这将使你无法了解真实的情况
        • 一个东西要”好“,就必须符合现实的规律,并促进整体的进化,这能带来最大的回报
        • 进化是宇宙中最强大的力量,是唯一永恒的东西,是一切的驱动力
        • 不进化就死亡
      • 进化是生命最大的成就和最大的回报
        • 个体的激励机制必须符合群体的目标
        • 现实为了整体趋向最优化,而不是为了个体
        • 通过快速试错以适应现实是无价的
        • 意识到你既是一切又什么都不是,并决定你想成为什么样子
        • 你的未来取决于你的视角
      • 理解自然提供的现实教训
        • 把你的进化最大化
        • 记住”没有痛苦就没有收获“
        • 自然的一项根本法则是,为了赢得力量,人必须努力突破极限,而这是痛苦的
      • 痛苦+反思=进步
        • 迎接而非躲避痛苦
        • 接受严厉的爱
      • 考虑后续与再后续的结果
      • 接受结果
      • 从更高的层次俯视机器
        • 把自己想象成一部在大机器里运转的小机器,并明白你有能力改变你的机器以实现更好的结果
        • 通过比较你实现的结果和你的目标,你就能确定如何改进你的机器
        • 区别作为机器设计者的你和作为机器中工作的你
        • 大多数人犯下的最大错误是不客观看待自己以及其他人,这导致他们一次次地栽在自己或其他人的弱点上
        • 成功的人能超越自身,客观看待事物,并管理事物以塑造改变
        • 在你不擅长的领域请教擅长的其他人,这是一个你无论如何都应该培养的出色技能,这将帮助你建立起安全的护栏,避免自己做错事
        • 因为客观看待自身很困难,所以你需要依赖其他人的意见,以及全部证据
        • 如果你的头脑足够开放,足够有决心,你几乎可以实现任何愿望
    • 用五步流程实现你的人生愿望
      • 有明确的目标
        • 排列优先顺序:尽管你几乎可以得到你想要的任何东西,但你不可能得到你想要的所有东西
        • 不要混淆欲望和目标
        • 调和你的目标和欲望,以明确你在生活中真正想要的东西
        • 不要把成功的装饰误认为成功本身
        • 永远不要因为你觉得某个目标无法实现就否决它
        • 谨记伟大的期望创造伟大的能力
        • 如果你拥有灵活性并自我规则,那么几乎没有什么能阻止你成功
        • 知道如何对待挫折和知道如何前进一样重要
      • 找出问题,并且不容忍问题
        • 把令人痛苦的问题视为考验你的潜在进步机会
        • 不要逃避问题,因为问题根植于看起来并不美好的残酷现实
        • 要精准地找到问题所在
        • 不要问题的某个原因误认为问题本身
        • 区分大问题和小问题
        • 找出一个问题之后,不要容忍问题
      • 诊断问题,找到问题的根源
        • 先把问题弄明白,再决定怎么做
        • 区分直接原因的根本原因
        • 认识到了解(包括你自己)的特性,有助于对其形成合理预期
      • 规划方案
        • 前进之前先回顾
        • 把你的问题看做一部机器产生的一系列结果
        • 谨记实现你的目标通常有很多途径
        • 把你的方案设想为一个电影剧本,然后循序渐进地思考由谁来做什么事
        • 把你的方案写下来,让所有人能够看到
        • 要明白,规划一个好的方案不一定需要很多时间
      • 坚定地从头到尾执行方案
        • 规划做得再好,不执行也无济于事
        • 良好的工作习惯的重要性常被大大低估
        • 建立清晰的衡量标准来确保你在严格执行方案
      • 谨记:如果你找到了解决方案,弱点是不重要的
        • 考察你犯错误的类型,并识别你通常在五步流程中哪一步上做的不好
        • 每个人都至少有一个最大的弱点阻碍其成功,找到你的这个弱点并处理它
      • 理解你和其他人的“意境地图”和谦逊性
    • 做到头脑极度开放
      • 认识你的两大障碍
        • 理解你的自我意识障碍
        • “两个你”在争夺你的控制权
        • 理解你的思维盲点障碍
      • 奉行头脑极度开放
        • 诚恳地相信你也许并不知道最好的解决办法是什么,并认识到,与你知道的东西相比,能不能妥善处理”不知道”才是最重要的
        • 认识到决策应该分两步:先分析所有相关信息,然后做决定
        • 不要担心自己的形象,只关心如何实现目标
        • 认识到你不能”只产出不吸纳”
        • 认识到为了能够从他人的角度看待事物,你必须暂时悬置判断,只有设身处地,你才能够合理评估另一种观点的价值
        • 谨记,你是在寻找最好的答案,而不是自己能够得出的最好答案
        • 搞清楚你是在争论还是在试图理解一个问题,并根据你和对方的可信度,想想哪种做法最合理
      • 领会并感激:深思熟虑的意见分歧
      • 和可信的人、愿意表达分歧的人,一起审视你的观点
        • 为最坏的情况做准备,以尽量使其不那么糟糕
      • 识别你应当注意的头脑封闭和头脑开放的不同迹象
      • 你觉得你如何做到头脑极度开放
        • 经常利用痛苦来引导自己进行高质量的思考
        • 将头脑开放作为一种习惯
        • 认识自己的思维盲点
        • 假如很多可信的人都在说你正在做错事,只有你不这么看,你就想想自己是不是看偏了
        • 冥想
        • 重视证据,并鼓励其他人也这么做
        • 尽力帮助其他人也保持头脑开放
        • 使用以证据为基础的决策工具
        • 知道什么时候应当停止为自己的观点辩护,信任自己的决策程序
    • 理解人与人大不相同
      • 明白你和其他人的思维方式能带来的力量
        • 我们拥有各种天生的特征,既可能帮助自己,也可能伤害自己,取决于如何应用
      • 有意义的工作和有意义的人际关系,不仅是我们做出的美好选择,而且是我们天生的生理需求
      • 理解大脑里的主要斗争,以及如何控制这些斗争,以实现你的愿望
        • 要明白,意识与潜意识在不断斗争
        • 要知道最常发生的斗争是情绪和思考的斗争
        • 调和你的情绪和思考
        • 善择你的习惯
        • 坚持友善的训练,较低层次的你养成好的习惯
        • 理解右脑思维和左脑思维的差别
        • 理解大脑可以改变的程度
      • 认识自己和他人的特性
        • 内向和外向
        • 直觉与感知
        • 思考与感觉
        • 计划与发觉
        • 创造者,推进者,改进者,贯彻者与变通者
        • 关注任务与关注目标
        • 塑造者是能从构想一路走到构想实现的人
      • 无论你要实现什么目标,让合适的人各司其职,你支持你的目标是成功的关键
        • 管理你自己,并协调其他人实现你的目标
    • 学习如何有效决策
      • 要认识到: 影响好决策的最大威胁是有害的情绪。决策是一个两部流程,先了解后决定
      • 综合分析眼前的形势
        • 你能做到的最重要的决定之一就是决定问谁
        • 不要听信什么信什么
        • 所有东西都是放在眼前看更大
        • 不要夸大新东西的好处
        • 不要过度分析细节
      • 综合分析变化中的形式
        • 始终记住改善事物的速度和水平以及两者的关系
        • 不必过于精确
        • 谨记28法则并明白关键性的20%是什么
        • 不要做完美主义者
      • 高效地综合考虑各个层次
        • 用基线以上和基线以下来确定谈话位于哪一层
        • 谨记决策需要在合理的层次作出,但也应在各层次之间保持一致
        • 综合分析现实、理解如何行动的最好工具是逻辑、理性和常识
      • 根据预期价值做决策
        • 不管你要对的概率已经有多大提高,你的压力概率始终有价值
        • 知道什么时候不去压住和知道什么时候压同样重要
        • 最好的选择是好处多于坏处的选择,不是毫无坏处的选择
      • 比较更多信息带来的价值和不做决定造成的成本,决定优先顺序
        • 先把你的必做之事做完,再做你想做之事
        • 你很可能没有时间处理不重要的事,那最好将它留着以免自己没有时间处理重要的事
        • 不要把概率当作可能性
      • 简化
      • 使用原则
      • 对你的决策进行可信度加权
      • 把你的原则转换成算法,让计算机和你一起决策
      • 在深刻理解人工智能之前,不要过度信赖它
    ]]>
    + + + + + + <h3 id="Ray-Dalio-《原则》"><a href="#Ray-Dalio-《原则》" class="headerlink" title="Ray Dalio 《原则》"></a>Ray Dalio 《原则》</h3><ul> +<li>拥抱现实,应对现实<ul> +<l + + + + + + + +
    + + + 基金投资策略(2021年01月09日) + + http://wujingchao.github.io/2020/03/18/fund/ + 2020-03-17T16:00:00.000Z + 2021-01-09T06:33:21.000Z + + (原)基金网格策略

    XLS

    基金投资策略(2021年01月09日更新)

    最近一年学习了许多股票基金投资相关的书籍,打破了以前的一些认知,以前运用的网格策略,低估值策略现在不是很看好,这些策略说到底都是在赚股价由于情绪波动的收益,典型的零和游戏,特别是网格,和投机没什么区别,即使在一段时期内有效,但是很难长期有效,不符合自己的投资价值理念,要避免这些短期的诱惑,做一名长期的价值投资者。

    去年的收益严重跑输沪深300指数,不得不思考下原因,在18年和17年股市低落的时候捡了很多蓝筹价值股便宜的筹码,在19年股市稍稍上涨的时候就匆匆卖掉了,近日究其原因就是不理解其的价值导致。然后又买了很多策略指数,比如沪深300价值等,策略指数都是使用纯数据筛选出来的,成分股里面有大量的银行地产保险,虽然这些行业的价格低估,但是有特点是高负债,长期来看成长较缓慢或者没有成长,可能会一直低估。。

    回归到股票投资的宗旨,买股票就是买公司,即赚取企业成长的价值,从这个角度出发,执行比较符合自己价值观投资策略,这样才能在市场严重回撤的时候坚定持有,并持续以好的价格不断买入,也不至于在市场涨了一点点就迅速止盈。

    长期来看,优质企业的价格市场大部分时间都是有效的,除非出现了严重的泡沫,比如身边的人平时不买股票和基金都来参与了,这种情况可以考虑止盈。如果出现严重低估,那么就是大量买入的时候。以下是符合我投资理念的策略:

    • 买基金。对于业余的上班族来说,每天研究股票以及看盘不现实,会影响到正常的学习和生活,并且股权投资难度是很大的,让专业的人买帮我们。买基金是比较好的策略,如果由于市场情绪的影响,出现了严重的低估股票,可以尝试买入一些自己能力圈内了解的。(需要不断学习,看懂企业的前提下,不建议在不懂情况下碰股票,和赌博没什么区别)

    • 选择基金经理。选择符合自己投资理念优秀的基金经理人,前十大股票仓位重仓,通常超过70%以上,低换手,意味着看好了一只股票就不会轻易换掉,除非公司的基本面出现了很大的变化。通常情况下重仓是风险很高,即人们常说的把鸡蛋放在一个篮子里面,但是如果投资过于分散会严重拉低收益,对于指数来说,里面存在着大量的垃圾股,很难赚取高于市场的平均回报,就像芒格说的,无知才是最大的风险。所以我认为把鸡蛋放在一个篮子里面,并且仔细看好你的篮子是一个很好的策略

    • 选行业。选择长期看好的行业,消费,医疗,可以参考美国的股市,消费医疗是一条好的长期的赛道,很多大牛股都是从这里面出来的,比如苹果

    • 好价格。经过2020年的上涨,消费医疗已经涨了很多,风险较高,目前不宜重仓进入,回撤较大容易影响到心态,可以等到比较大回调的时候再买入

    • 定投或分批。但要尽可能的少操作,虽然定投是很好的方式,如果选择日投就很频繁了,月投,周投比较合适,如果在价格上涨过多的情况下,可以先把资金留着,下次有好的机会一起投入。真正的高手是在合适的时机一招制敌

    • 闲余资金。最重要的一点就是使用长期闲余的资金,这样才能保持一个良好的心态,不影响到正常的工作和情绪,由于恐惧而止损造成永久性的亏损

    当然对于我们普通人来说,靠买股票和基金发达不太现实,努力工作学习,不断提升自己的专业技能才能走得远。投资的目的是希望以后能摆脱金钱束缚,把更多的时间放在自己喜欢的事上,且享受这个慢慢的过程。

    最后,对于大多数人来说,投资是件反人性的事情,需要有良好的心态以及观念才能走得更长远:

    buffett

    投资永远记住两条原则:

    第一,永远不要亏损

    第二,永远记住第一条

    ]]>
    + + + + + + <h3 id="原-基金网格策略"><a href="#原-基金网格策略" class="headerlink" title="(原)基金网格策略"></a><del>(原)基金网格策略</del></h3><p><del><a href="https://view.office + + + + + + + +
    + + + 最简单的SSH / Frp内网穿透配置 + + http://wujingchao.github.io/2020/02/22/penetrate/ + 2020-02-21T16:00:00.000Z + 2020-03-29T14:29:20.000Z + + 最简单的Ubuntu SSH / Frp内网穿透配置

    内网:家里或者公司的机器

    公网:云服务器

    外网:需要访问内网的机器

    SSH

    公网服务器配置

    修改sshd配置/etc/ssh/sshd_config

    GatewayPorts yes

    除了开放sshd用的端口,还需要开放一个[公网服务器开放端口],用作转发数据

    内网

    为了能够断开自动重连,安装autossh(ubuntu)

    sudo apt-get install autossh

    与公网服务器建立连接通道

    autossh -M [内网任意未使用端口] -NR [公网服务器开放端口]:127.0.0.1:[本地sshd端口] [公网服务器用户名]@[公网ip]//提示输入公网服务器密码

    -M 后面的这个参数端口貌似用echo service做监听重连的,没太看明白

    -N Do not execute a remote command. This is useful for just forwarding ports

    -R Specifies that connections to the given TCP port or Unix socket on the remote (server) host are to be forwarded to the local side

    这样配置好以后,外网连上的[公网服务器开放端口]的数据就会转发到内网的[本地sshd端口]

    外网配置

    上面两部配置完成之后就可以远程ssh到内网了

    ssh [内网用户名]@[公网ip] -p [公网服务器开放端口]//提示输入内网服务器密码

    使用ssh开启隧道代理:

    ssh -nNTf -D [本地上网代理端口] [内网用户名]@[公网ip] -p [公网服务器开放端口]

    同样,可以使用autossh断连之后自动重连。需要把-nNTf参数放到后面,否则会将-f误认为是autossh的参数,无法提示输入密码:

    autossh -M 0  -D [本地上网代理端口]  [内网用户名]@[公网ip] -p [公网服务器开放端口] -nNTf

    有时候使用autossh也会断开,可以在/etc/ssh/config加上

    ServerAliveInterval 60 

    那么就会每隔60s,就会发一次消息,确保在线。如果还想继续处理其他未知的情况,使用暴力不断重连的命令

    while true; do [ssh链接命令]; sleep 5;done

    这样就开启了socket5协议代理,将浏览器或应用的代理设置为sockets://127.0.0.1:[本地上网代理端口], 就可以成功穿透到内网了!

    Frp

    发现有时候不稳定的时候ssh老是断开导致公网的服务器转发端口有时候监听失败,看了下Frp配置也比较简单,目前看来比较稳定。

    公网服务器配置

    首先去Frp项目下载release软件,不同的操作系统都有包含,服务端和客户端都在一个包里面。

    下载之后解压,配置服务端的配置文件 frps.ini

    [common]bind_port = {frp监听端口}dashboard_port = {控制台端口,用作http协议访问}dashboard_user = {控制台用户名}dashboard_pwd = {控制台密码}authentication_method = tokentoken = {用于frp客户端访问验证}

    之后直接运行可执行文件frps即可

    内网服务器配置

    客户端配置文件frpc.ini:

    [common]server_addr = {frp服务端公网ip}server_port = {frp服务端监听端口}token= {frp服务端访问令牌}[ssh-mac] {不同的客户端需要有不同的名字}type = tcplocal_ip = 127.0.0.1local_port = {sshd监听端口}remote_port = {用于转发数据的端口}use_encryption = trueuse_compression = true

    之后直接运行可执行文件frpc即可

    外网配置

    上面两部配置好之后,就可以通过remote_port ssh到内网了,按照前面的命令配置ssh隧道代理!

    ]]>
    + + + + + + <h3 id="最简单的Ubuntu-SSH-Frp内网穿透配置"><a href="#最简单的Ubuntu-SSH-Frp内网穿透配置" class="headerlink" title="最简单的Ubuntu SSH / Frp内网穿透配置"></a>最简单的Ubuntu S + + + + + +
    + + + 再谈Android源码的C++智能指针 + + http://wujingchao.github.io/2019/11/18/android-sp/ + 2019-11-17T16:00:00.000Z + 2020-01-31T09:41:46.000Z + + 再谈Android源码的C++智能指针

    AOSP里面用到智能指针的地方太多,目前也有很多现成源码分析的文章,本文从引用的角度谈谈我对其的理解,尽量避免贴大量源代码,水平有限,可能有纰漏,也感谢帮忙指出。

    Java与C++对象的生命周期

    我们都知道,Java对象通过new关键字创建,之后就会再Java虚拟机的堆区创建一块内存区域,然后我们通过的类型变量去引用它,这个就是强引用。垃圾回收器(GC)会在适当的时刻,根据对象可达性(reachable)判断,是否回收相关的对象。

    另外,当我们在长存对象里面引用对象的时,例如在Android的Activity内部使用Handler对象给主线程发消息,如果不使用静态的Hanlder对象的话,会导致对象持有外部的Activity对象,而消息Message对象会引用Handler对象,如果消息队列里面的对象一直没有得到处理,那么就会导致Activity对象得不到回收,所以我们就需要将Handler改为非内部类的实现方式,并且不能对Activity强引用。这个时候就需要对Activity弱引用, 不影响GC对Activity对象进行回收。

    Java除了强引用,还有另外三种引用:

    • SoftReference(软引用:会影响GC回收,取决于GC的实现,例如当内存不够用的时候才会回收这部分内存)
    • WeakReference(弱引用:不影响GC回收,当被回收之后,持有的对象会被清空)
    • PhantomReference(虚幻引用,不影响GC回收,并且访问不到持有的对象,被回收后能从引用队列里面访问到)

    对对象的引用从强到弱。

    ….

    ]]>
    + + + + + + <h3 id="再谈Android源码的C-智能指针"><a href="#再谈Android源码的C-智能指针" class="headerlink" title="再谈Android源码的C++智能指针"></a>再谈Android源码的C++智能指针</h3><p>AOSP + + + + + + + +
    + + + MacOS Scheme编译环境搭建 + + http://wujingchao.github.io/2019/02/17/scheme-env/ + 2019-02-16T16:00:00.000Z + 2019-02-17T12:00:48.000Z + + MacOS Scheme编译环境搭建

    安装的环境是开源的ChezScheme

    下载ChezScheme

    git clone git@github.com:cisco/ChezScheme.git

    编译与安装:

    ./configuresudo make install

    安装完成之后就可以直接在Shell里面使用ChezScheme的命令行交互环境, Ctrl + D退出:

    scheme-evn1

    如果不使用交互式环境,还可以让解释器直接解释文件:

    scheme-evn2

    为了更方便学习,还可以将环境集成到vscode里面:

    安装支持语法高亮的插件 vscode-scheme:

    scheme-evn3

    支持快捷运行代码的插件 Code Runner:

    scheme-evn4

    配置Code Runner支持scheme:

    在菜单 Code -> Preferences -> Settings里面搜索Run Code找到 Executor Map By File Extension:

    scheme-evn4

    点击 Edit in settings.json,在这个文件里面加上scheme文件的后缀配置,然后保存:

        "code-runner.executorMapByFileExtension": {        ".ss": "scheme --quiet < $fullFileName"    }

    在vscode里面新建ss后缀的scheme文件,点运行按钮就可以直接运行了,结果会在OUTPUT里面:

    scheme-evn4

    ]]>
    + + + + + + <h3 id="MacOS-Scheme编译环境搭建"><a href="#MacOS-Scheme编译环境搭建" class="headerlink" title="MacOS Scheme编译环境搭建"></a>MacOS Scheme编译环境搭建</h3><p>安装的环境是 + + + + + + + +
    + + + Android锁屏下启动应用卡屏5秒的原因分析 + + http://wujingchao.github.io/2018/12/16/transition_delay/ + 2018-12-15T16:00:00.000Z + 2018-12-16T07:35:50.000Z + + Android锁屏下启动应用卡屏5秒的原因分析

    最近分析一个问题,在锁屏窗口中启动应用会出现卡顿5秒,比如拨打电话,启动Google日历等。

    拿拨打电话来举例,启动的action为 android.intent.action.CALL,对应处理的Activity在Telecom中:

    //packages/services/Telecomm/AndroidManifest.xml:<activity android:name=".components.UserCallActivity"        android:label="@string/userCallActivityLabel"        android:theme="@style/Theme.Telecomm.Transparent"        android:permission="android.permission.CALL_PHONE"        android:excludeFromRecents="true"        android:process=":ui">    <!-- CALL action intent filters for the various ways of initiating an outgoing call. -->    <intent-filter>        <action android:name="android.intent.action.CALL" />        <category android:name="android.intent.category.DEFAULT" />        <data android:scheme="tel" />    </intent-filter></activity>

    出现卡屏的UserCallActivity比较特别,没有界面,启动之后就会在onCreate里面直接finish,其他的没有出现这个问题快捷方式都是在启动的Activity直接显示。

    WMS出现卡屏5秒的原因分析

    启动Activity com.android.server.telecom/.components.UserCallActivity的时候调用AMS的方法:

    com/android/server/am/ActivityStackSupervisor.java:final boolean realStartActivityLocked(ActivityRecord r, ProcessRecord app,                                    boolean andResume, boolean checkConfig) throws RemoteException {//…    if (mKeyguardController.isKeyguardLocked()) {//锁屏状态下调用        r.notifyUnknownVisibilityLaunched();    }//…}

    接着调用ActivityRecord# notifyUnknownVisibilityLaunched方法:

    com/android/server/am/ActivityRecord.java:void notifyUnknownVisibilityLaunched() {   // No display activities never add a window, so there is no point in waiting them for   // relayout.      if (!noDisplay) {            mWindowContainerController.notifyUnknownVisibilityLaunched();      }}

    最终调用到UnknownAppVisibilityController#notifyLaunched方法,UnknownAppVisibilityController里面的成员变量mUnknownApps记录了锁屏状态下调用AppWindowToken的状态列表,它有几个状态:

    UNKNOWN_STATE_WAITING_RESUME 等待执行完onResume
    UNKNOWN_STATE_WAITING_RELAYOUT 等待执行完layout
    UNKNOWN_STATE_WAITING_VISIBILITY_UPDATE 等待可见性的更新

    目前看来这个类的目的就是控制锁屏界面下启动的Activity显示,要等待锁屏下开启的Activity完全显示以后才能显示其他的Activity,如果一直不显示也会其他被启动的Acitivity也有一个5s的超时被强制显示。

    com/android/server/wm/UnknownAppVisibilityController.java/** * Manages the set of {@link AppWindowToken}s for which we don't know yet whether it's visible or * not. This happens when starting an activity while the lockscreen is showing. In that case, the * keyguard flags an app might set influence it's visibility, so we wait until this is resolved to * start the transition to avoid flickers.(防止闪烁先显示Launcer,然后又快速地切换到显示目标Activity) */class UnknownAppVisibilityController {    /**     * Notifies that {@param appWindow} has been launched behind Keyguard, and we need to wait * until it is resumed and relaid out to resolve the visibility.     * Keyguard状态下启动Activity的时候调用     */void notifyLaunched(@NonNull AppWindowToken appWindow) {if (DEBUG_UNKNOWN_APP_VISIBILITY) {            Slog.d(TAG, "App launched appWindow=" + appWindow);        }        mUnknownApps.put(appWindow, UNKNOWN_STATE_WAITING_RESUME); }/** * Notifies that {@param appWindow} has finished resuming.  Acitivty#onResume完成调用 */void notifyAppResumedFinished(@NonNull AppWindowToken appWindow) {    if (mUnknownApps.containsKey(appWindow)            && mUnknownApps.get(appWindow) == UNKNOWN_STATE_WAITING_RESUME) {        if (DEBUG_UNKNOWN_APP_VISIBILITY) {            Slog.d(TAG, "App resume finished appWindow=" + appWindow);        }        mUnknownApps.put(appWindow, UNKNOWN_STATE_WAITING_RELAYOUT);    }}    /**     * Notifies that {@param appWindow} has relaid out.     * layout完成     */void notifyRelayouted(@NonNull AppWindowToken appWindow) {     if (!mUnknownApps.containsKey(appWindow)) {         return;     }     if (DEBUG_UNKNOWN_APP_VISIBILITY) {         Slog.d(TAG, "App relayouted appWindow=" + appWindow);     }      int state = mUnknownApps.get(appWindow);        if (state == UNKNOWN_STATE_WAITING_RELAYOUT) { //当layout完成并且可见,也会从集合里移除            mUnknownApps.put(appWindow, UNKNOWN_STATE_WAITING_VISIBILITY_UPDATE);            mService.notifyKeyguardFlagsChanged(this::notifyVisibilitiesUpdated);    }}     //在Activity#onDestroy方法执行完成通知AMS的时候才会调用,mUnknownApps移除对应的appWindow    void appRemovedOrHidden(@NonNull AppWindowToken appWindow) {        if (DEBUG_UNKNOWN_APP_VISIBILITY) {            Slog.d(TAG, "App removed or hidden appWindow=" + appWindow);        }        mUnknownApps.remove(appWindow);    }    //这个方法在AppTrasition的时候后判断是否有mUnknownApps存在    boolean allResolved() {        return mUnknownApps.isEmpty();    }}

    下面是UnknownAppVisibility的日志,可以看到UserCallActivity的AppWindowToken被放到了mUnknownApps里面,过了5s之后才执行UserCallActivity#onDestory方法,从mUnknownApps里面移除。

    LOG:06-02 09:54:44.352 D/UnknownAppVisibility(  777): App launched appWindow=AppWindowToken{99d9676 token=Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}}}06-02 09:54:45.263 D/UnknownAppVisibility(  777): App resume finished appWindow=AppWindowToken{99d9676 token=Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}}}06-02 09:54:51.455 V/ActivityManagerService_Switch(  777): ACTIVITY DESTROYED: Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288 f}} [这个地方的onDestroy不是正常finish后调用的,而是AMS的超时机制触发]06-02 09:54:51.460 D/UnknownAppVisibility(  777): App removed or hidden appWindow=AppWindowToken{99d9676 token=Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}}}

    在启动Activity的时候,会调用continueSurfaceLayout:

    com/android/server/am/ActivityStarter.java:private int startActivity(final ActivityRecord r, ActivityRecord sourceRecord,IVoiceInteractionSession voiceSession, IVoiceInteractor voiceInteractor,                        int startFlags, boolean doResume, ActivityOptions options, TaskRecord inTask, ActivityRecord[] outActivity) {//…try {    mService.mWindowManager.deferSurfaceLayout();    result = startActivityUnchecked(r, sourceRecord, voiceSession, voiceInteractor,            startFlags, doResume, options, inTask, outActivity);} finally {    mService.mWindowManager.continueSurfaceLayout();}    return result;}

    最终会调用到WindowSurfacePlacer # transitionGoodToGo这个方法,判断是否准备好可以执行transition:

    com/android/server/wm/WindowSurfacePlacer.java:int handleAppTransitionReadyLocked() {   int appsCount = mService.mOpeningApps.size();   if (!transitionGoodToGo(appsCount, mTempTransitionReasons)) {      return 0;}//…if (DEBUG_APP_TRANSITIONS) Slog.v(TAG, "**** GOOD TO GO"); mService.mH.removeMessages(H.APP_TRANSITION_TIMEOUT);//如果成功,从handler移除AppTransition超时处理//…}//下面是个关键的地方, UnknownAppVisibilityController里面保存了在锁屏情况下启动Activity的AppWindowToken,导致不能正常的transitionprivate boolean transitionGoodToGo(int appsCount, SparseIntArray outReasons) {    //...    if (!mService.mAppTransition.isTimeout()) {        //...        if (!mService.mUnknownAppVisibilityController.allResolved()) {            if (DEBUG_APP_TRANSITIONS) {                Slog.v(TAG, "unknownApps is not empty: "                        + mService.mUnknownAppVisibilityController.getDebugMessage());            }            return false;        }        //....        return false;    }    return true;}
    LOG06-02 09:54:45.229 V/WindowSurfacePlacer(  777): unknownApps is not empty: app=AppWindowToken{99d9676 token=Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}}} state=1//….06-02 09:54:45.278 V/WindowSurfacePlacer(  777): unknownApps is not empty: app=AppWindowToken{99d9676 token=Token{85511 ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}}} state=2//…    //private static final int UNKNOWN_STATE_WAITING_RESUME = 1;    //private static final int UNKNOWN_STATE_WAITING_RELAYOUT = 2;

    可以看到日志UserCallActivity的state一直处于1和2的状态,阻塞了不能正常的AppTrasition

    尝试在加上条件测试看是否还会出现卡屏5s的现象:

    com/android/server/wm/WindowSurfacePlacer.java:if (!mService.mUnknownAppVisibilityController.allResolved()&&!mService.mUnknownAppVisibilityController.getDebugMessage().contains(“com.android.server.telecom/.components.UserCallActivity”)) {    //…    return false;}

    加上这个测试条件后就没有了卡屏5秒的情况,但是有了新问题,会出现flickers(闪烁),先显示Launcer,然后又快速地切换到显示InCallActivity。如果FUNC先解锁操作再执行拨打电话,也会出现同样的问题。这正是UnknownAppVisibilityController解决的问题。下面看UserCallActivity finish不掉的原因。

    AMS finish没有立即触发onDestroy的原因分析

    正常的情况下,在Activity#onCreate方法中直接调用finish(),在之后的onPause方法调用AMS的activityPaused,就会直接调用IApplicationThread#scheduleDestroyActivity的方法通知Activity执行onDestroy,然后执行AMS的activityDestroyed,将UnknownAppVisibilityController里面的AppWindow移除。然而锁屏的的情况有区别:

    com/android/server/am/ActivityManagerService.java:@Overridepublic final void activityPaused(IBinder token) {   //…   ActivityStack stack = ActivityRecord.getStackLocked(token);   if (stack != null) {      stack.activityPausedLocked(token, false);   }}
    com/android/server/am/ActivityStack.java:final void activityPausedLocked(IBinder token, boolean timeout) {    final ActivityRecord r = isInStackLocked(token);    mHandler.removeMessages(PAUSE_TIMEOUT_MSG, r);    //…    completePauseLocked(true /* resumeNext */, null /* resumingActivity */);   //…}private void completePauseLocked(boolean resumeNext, ActivityRecord resuming) {    ActivityRecord prev = mPausingActivity;    if (DEBUG_PAUSE) Slog.v(TAG_PAUSE, "Complete pause: " + prev);    if (prev != null) {        final boolean wasStopping = prev.state == STOPPING;        prev.state = ActivityState.PAUSED;        if (prev.finishing) {            if (DEBUG_PAUSE) Slog.v(TAG_PAUSE, "Executing finish of activity: " + prev);            prev = finishCurrentActivityLocked(prev, FINISH_AFTER_VISIBLE, false);        } else{//...}    }}final ActivityRecord finishCurrentActivityLocked(ActivityRecord r, int mode, boolean oomAdj) {    // First things first: if this activity is currently visible,    // and the resumed activity is not yet visible, then hold off on    // finishing until the resumed one becomes visible.    //这里的next是Launcher, r为UserCallActivity    final ActivityRecord next = mStackSupervisor.topRunningActivityLocked();    //可以看到上面的注释就是我们的这种场景     //在锁屏的情况下会走到分支mode为FINISH_AFTER_VISIBLE,r.visible为true    //关键的是next.nowVisible为false,即Launcher现在也是不可见的    //所以就会将UserCallActivity放到 mStoppingActivities里面    if (mode == FINISH_AFTER_VISIBLE && (r.visible || r.nowVisible)            && next != null && !next.nowVisible) {        if (!mStackSupervisor.mStoppingActivities.contains(r)) {            addToStopping(r, false /* scheduleIdle */, false /* idleDelayed */);        }        if (DEBUG_STATES) Slog.v(TAG_STATES,                "Moving to STOPPING: "+ r + " (finish requested)");        r.state = STOPPING;        return r;    }     //…    //非锁屏下走这个分支,这里就会scheduleDestroyActivity    if (mode == FINISH_IMMEDIATELY            || (prevState == ActivityState.PAUSED            && (mode == FINISH_AFTER_PAUSE || mStackId == PINNED_STACK_ID))            || finishingActivityInNonFocusedStack            || prevState == STOPPING            || prevState == STOPPED            || prevState == ActivityState.INITIALIZING) {             boolean activityRemoved = destroyActivityLocked(r, true, "finish-imm");        //....        return activityRemoved ? null : r;    }}

    这个时候dumpsys activity的信息如下,UserCallActivity被加到了waittingToStop列表里,没有执行scheduleDestroyActivity方法:

    adb shell dumpsys activity:Activities waiting to stop:    TaskRecord{28306a9 #433 A=com.android.server.telecom U=0 StackId=1 sz=1}      Stop #0: ActivityRecord{f676a30 u0 com.android.server.telecom/.components.UserCallActivity t433 f}Activities waiting for another to become visible:    TaskRecord{28306a9 #433 A=com.android.server.telecom U=0 StackId=1 sz=1}      Wait #0: ActivityRecord{f676a30 u0 com.android.server.telecom/.components.UserCallActivity t433 f}// InCallActivity已经Resume等待显示ResumedActivity: ActivityRecord{4cd5d55 u0 com.tct.dialer/com.android.incallui.InCallActivity t432}

    之后的finish操作在ActivityManagerService#activityIdle方法中处理: (每次有Activity Resume完成,就会在主线程MessageQueue的Idler中调用,也有可能会在SystemServer中闲时调用)

    com/android/server/am/ActivityManagerService.java:@Overridepublic final void activityIdle(IBinder token, Configuration config, boolean stopProfiling) {    synchronized (this) {        ActivityStack stack = ActivityRecord.getStackLocked(token);        if (stack != null) {            ActivityRecord r =                    mStackSupervisor.activityIdleInternalLocked(token, false /* fromTimeout */,                            false /* processPausingActivities */, config);        }//….    }}

    接着调用ActivityStackSupervisor# activityIdleInternalLocked

    final ActivityRecord activityIdleInternalLocked(final IBinder token, boolean fromTimeout,                                        boolean processPausingActivities, Configuration config) {    if (DEBUG_ALL) Slog.v(TAG, "Activity idle: " + token);        // Atomically retrieve all of the other things to do.    //查找waitingToStop的Activity,如果这里能够找出来,那么在后面finish,调用Activity#onDestory    final ArrayList<ActivityRecord> stops = processStoppingActivitiesLocked(r,            true /* remove */, processPausingActivities);    NS = stops != null ? stops.size() : 0;    //…    // Stop any activities that are scheduled to do so but have been    // waiting for the next one to start.    for (int i = 0; i < NS; i++) {        r = stops.get(i);        final ActivityStack stack = r.getStack();        if (stack != null) {            if (r.finishing) {                stack.finishCurrentActivityLocked(r, ActivityStack.FINISH_IMMEDIATELY, false);            } else {                stack.stopActivityLocked(r);            }        }    }    //...    return r;}//查找操作waitingStop符合条件finish的final ArrayList<ActivityRecord> processStoppingActivitiesLocked(ActivityRecord idleActivity,                                    boolean remove, boolean processPausingActivities) {    ArrayList<ActivityRecord> stops = null;//这个时候没有Activity可见,nowVisible为false    final boolean nowVisible = allResumedActivitiesVisible();    for (int activityNdx = mStoppingActivities.size() - 1; activityNdx >= 0; --activityNdx) {        ActivityRecord s = mStoppingActivities.get(activityNdx);//找到UserCallActivity        //waitingVisible为true,一直等待显示        boolean waitingVisible = mActivitiesWaitingForVisibleActivity.contains(s);        if (DEBUG_STATES) Slog.v(TAG, "Stopping " + s + ": nowVisible=" + nowVisible                + " waitingVisible=" + waitingVisible + " finishing=" + s.finishing);        if (waitingVisible && nowVisible) {//不会进入这个分支            mActivitiesWaitingForVisibleActivity.remove(s);            waitingVisible = false;//当InCallActivity show出来,置false,            if (s.finishing) {                //...                s.setVisibility(false);            }        }        if (remove) {                final ActivityStack stack = s.getStack();            final boolean shouldSleepOrShutDown = stack != null                    ? stack.shouldSleepOrShutDownActivities()                    : mService.isSleepingOrShuttingDownLocked();            //waitingVisible为true,进入不了这个分支            if (!waitingVisible || shouldSleepOrShutDown) {if (!processPausingActivities && s.state == PAUSING) {                    //...                    continue;                }                if (DEBUG_STATES) Slog.v(TAG, "Ready to stop: " + s);                if (stops == null) {                    stops = new ArrayList<>();                }                stops.add(s);                mStoppingActivities.remove(activityNdx);            }        }    }    return stops;}

    由于此时的topActivity (InCallActivity)一直没有show出来,就会导致UserCallActivity一直处于waitingToStop的状态,直到InCallActivity show出来之后,才会destroy UserCallActivity。

    下面是日志,验证上面的分析:

    LOG06-02 09:54:44.464 V/ActivityStackSupervisor(  777): Stopping ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288}: nowVisible=false waitingVisible=false finishing=false06-02 09:54:45.073 V/ActivityStack_States(  777): Moving to STOPPING: ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288 f} (finish requested)06-02 09:54:45.283 V/ActivityStackSupervisor(  777): Stopping ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288 f}: nowVisible=false waitingVisible=true finishing=true06-02 09:54:47.607 V/ActivityStackSupervisor(  777): Stopping ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288 f}: nowVisible=false waitingVisible=true finishing=true06-02 09:54:51.186 V/ActivityStackSupervisor(  777): Stopping ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288 f}: nowVisible=true waitingVisible=false finishing=true06-02 09:54:51.187 V/ActivityStackSupervisor(  777): Ready to stop: ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288 f}06-02 09:54:51.287 V/ActivityStack_States(  777): Moving to FINISHING: ActivityRecord{5db03d9 u0 com.android.server.telecom/.components.UserCallActivity t288 f}

    结论

    由于在锁屏界面启动Activity导致触发了WMS的 UnknownAppVisibilityController防止闪烁(显示Launcher之后又快速切换到目标Activity)的机制, UserCall Activity不能及时finish,就会导致一直处于卡屏状态,直到AppTransition超时机制才强制显示InCallActivity。

    UserCallActivity是Telecomm服务里面的组件,但是它又不是真正显示UI的Acivity,针对这种情况可以使用Telecom的placeCall接口可以规避掉这种情况。但是,不能保证所有启动的Acitivty都直接显示,比如原生的Google日历也会出现卡屏5秒现象,目前看来是原生Android的bug,对于这种情况,finish之后没有将不显示的窗口及时地从UnknownAppVisibilityController移除。

    ]]>
    + + + + + + <h3 id="Android锁屏下启动应用卡屏5秒的原因分析"><a href="#Android锁屏下启动应用卡屏5秒的原因分析" class="headerlink" title="Android锁屏下启动应用卡屏5秒的原因分析"></a>Android锁屏下启动应用卡屏5 + + + + + + + +
    + + + 详解Socket编程---连接与断开 + + http://wujingchao.github.io/2018/07/22/tcp_connect/ + 2018-07-21T16:00:00.000Z + 2024-12-07T04:27:26.053Z + + 详解Socket编程—连接与断开

    由于Java的Socket接口简单易用得多,为了简单起见,都是使用Java做示例,但是它和Unix C的接口都是类似,Java接口只是使用JNI对底层接口的一个封装。

    ServerSocket监听端口

    Socket编程使用的都是C/S的模式,先从ServerSocket说起,先来看下ServerSocket最多参数的构造方法:

    public ServerSocket(int port, int backlog, InetAddress bindAddr) throws IOException
    • port: 第一个参数port就是进程要监听的端口。在TCP协议中,端口又被称为进程的地址,用于OS向上层分发数据的标识。
      向某个没有监听的端口发送,数据,建立连接会受到TCP的RST报文,这种情况常常出现在对端的进程crash之后或者进程压根就没有监听这个端口,而你又去尝试连接或者发送数据。

    tcp_connect_rst

    对应就会抛出IO异常:

    java.net.ConnectException: Connection refused (Connection refused)    at java.net.PlainSocketImpl.socketConnect(Native Method)    at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)    at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)    at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)    at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)    at java.net.Socket.connect(Socket.java:589)
    • backlog:中文翻译叫积压值,不是很好理解。对应的注释:
    requested maximum length of the queue of incoming connections

    当我们执行了监听端口的操作,就需要调用accpet方法去接收客户端TCP连接的请求,当客户端发起三次握手建立请求,我们就会accpet到一个Socket,就可以使用这个Socekt的输入输出流与对端通信。这里要强调一点,accept到的连接一定是完成了一次三次握手。如果我们处理接收Socket的速度较慢,例如使用单线程去处理,那么就会使建立完三次握手的连接在OS内部队列积压着,这个backlog就是限制积压这一类Socket的个数,如果我们不指定,默认就是50。

    下面来做实验观察一下超过backlog大小会出现什么情况:

    Server端代码,backlog的值为2:

    try (ServerSocket serverSocket = new ServerSocket(10086, 2)) {    Socket socket = serverSocket.accept();    System.out.println("Accept New Socket");    TimeUnit.MINUTES.sleep(10);}

    Client代码,设置了一个连接超时时间:

    for (int i = 0; i < 5; i++) {    Socket socket = new Socket();    try {        socket.connect(new InetSocketAddress("192.168.1.7", 10086), 2_000);        System.out.println("Connect Success:" + i);    } catch (IOException e) {        e.printStackTrace();    }}

    按照前面的理解,客户端应该能够连接成功三次,通过打印的日志确实如此,当连接第四个Socekt的时候会出现超时:

    07-22 22:27:56.973 7193-7562/com.wujingchao.android.demo I/System.out: Connect Success:007-22 22:27:56.983 7193-7562/com.wujingchao.android.demo I/System.out: Connect Success:107-22 22:27:56.983 7193-7562/com.wujingchao.android.demo I/System.out: Connect Success:207-22 22:29:00.181 7193-7562/com.wujingchao.android.demo W/System.err: java.net.ConnectException: failed to connect to /192.168.1.7 (port 10086): connect failed: ETIMEDOUT (Connection timed out)

    抓取客户端的TCP报文:
    tcp_connect_backlog

    报文 1 ~ 3, 4 ~ 7, 8 ~ 11就是前三次连接成功的报文(另外两个窗口大小更新的报文先不去理会),从12个报文开始,客户端的SYN握手请求,服务端就不在理会了,再下来红字黑底的报文触发了客户端的超时重传。这里服务端的实现就是大于backlog的时候就丢弃SYN握手请求。

    这里有一点需要注意,不同的OS平台对backlog的实现不太一样,上面测试的Server端是在Mac OS-HotSpot的环境下测试的,但是如果在Ubuntu-OpenJDK上测试,会得到不一样的结果,经过在Ubuntu上测试,服务端貌似没有对backlog有限制,连接了一百多个socket都还能连接。

    很早之前OpenJDK上的issue中就讨论过这个问题:

    Num of backlog in ServerSocket(int, int) should be mentioned more explicitly in API document

    However, even if we specify preferable number as the number of backlog ,
    actual number depends on underlying Opreationg System.
    The documnet should say the below(just example).
    “Parameters:
    port - the specified port, or 0 to use any free port.
    backlog - Request of size of the backlog is just passed to underlying OS.
    How the OS performs with the request depends on each OS.”

    下面接着看最后一个参数:

    • InetAddress: 表示监听IP层协议的ip地址,这是一个抽象类,有两个子类Inet4Address和Inet6Address,分别代码ipv4和ipv6的地址,我们不能实例化这两个类的,一般情况下我们使用InetAddress的静态方法getByName(String host)获得实例,API会根据我们传入的地址类型实例化出对应的ipv4或者ipv6地址对象。如果我们传入为空表示监听所有的网卡接口。
      可以通过NetworkInterface.getNetworkInterfaces()方法获取系统上所有的网卡接口。

    在TCP/IP协议中,通过5个元素可以确定一条连接:

    源端IP地址源端Port端口目的端IP地址目的端Port端口协议类型

    所以可以有以下结论:
    1.我们可以同时监听同一个端口的不同ip地址,在ip地址相同的情况还可以监听不同的协议类型(TCP or UDP)
    2.客户端在IP地址相同的情况下可以使用不同的端口接入(同一个节点),端口相同的情况不同的IP可以接入(不同的节点)
    3.当服务端accept到一个Socket可以通过getLocalSocketAddress()和getRemoteSocketAddress得到本地和远端的ip/port信息
    4.如果我们要过滤客户端的地址或者端口,从协议上来说,服务端应该是可以限制客户端的IP或者port,但是API并没有提供这样的接口给我们使用,只能accept到Socket后再根据3中所述的方法得到远端的ip和port进行过滤。

    通过这种方式,可以限制接入IP报文中目的地址的报文,假如我们有多个网卡即多个IP地址,通过监听特定的网卡即可实现,如果我们只监听127.0.0.1的回环地址,那么就只有本地的进程能够接入。

    下面的示例代码监听了ipv4,ipv6,通配符方式的地址。如果我们监听了特定的网卡,那么就会优先接入该网卡的ip,不匹配就会接入到通配符的地址,通配符地址监听了系统上的所有网卡,包括ipv4,ipv6。

    ServerSocket serverSocket = new ServerSocket(10086, 2, InetAddress.getByName("::1"));ServerSocket serverSocket2 = new ServerSocket(10086, 2, InetAddress.getByName("127.0.0.1"));ServerSocket serverSocket3 = new ServerSocket(10086, 2, null);

    tcp_connect_listen

    通过上面的构造方法创建ServerSocket如果成功,就是一个绑定状态的socket,调用isBound()方法返回的就是true,另外其他的几个有参构造方法都是基于这个构造方法,通过netstat命令就可以直接看到效果。
    API还提供了另外一种无参创建ServerSocket的方法,支持延迟绑定端口:

    public ServerSocket() throws IOException

    提供这个接口是有原因的,为了支持端口重用的选项 SO_REUSEADDR (这个选项下面讲到客户端Socket的时候再详细说明这个选项),要让ServerSocket支持这个选项,必须先设置,然后才能执行绑定操作,否则就是一个未定义的行为:

    The behaviour when SO_REUSEADDR is enabled or disabled after a socket is bound (See isBound()) is not defined.

    无参构造方法创建的实例代码:

    ServerSocket serverSocket = new ServerSocket();serverSocket.setReuseAddress(true);serverSocket.bind(new InetSocketAddress(InetAddress.getByName("127.0.0.1"), 10086));

    客户端Socket连接

    客户端创建Socket的方式比较简单:

    Socket socket = new Socket();//创建一个 unbound状态的Socketsocket.connect(new InetSocketAddress("192.168.1.7", 10086), 0);//第二个参数为超时的时间,默认情况下为0,表示无限等待

    采用无参的方式创建Socket,OS为自动给我们分配一个合适的端口和网卡接口去连接目的端,网卡接口是通过主机的路由表确定的。

    另外一个构造方法在创建Socket的时候,可以指定源端ip和port,目的端的ip和port,Socket对象创建成功后,得到的Socket就已经是三次握手成功过了,可以进行数据传输。

    public Socket(InetAddress address, int port, InetAddress localAddr,                  int localPort) throws IOException

    调用方法后抓包,就是三次握手的过程,协商MSS,以及是否支持[SACK(Selective ACK))]等(https://blog.csdn.net/Mary19920410/article/details/72820477)

    tcp_connect_handshake

    三次握手是最小的代价确认对方的网络环境是否OK,是否能进行TCP通信,第一二次客户端为了确定服务端是否OK,第二三次是服务端确定客户端的环境是否OK。

    Socket断开连接

    tcp_connect_4dis

    涉及Socket断开连接的方法有:

    • Socket.shutdownInput();
    • Socket.shutdownOutput();
    • Socket.close();
    • Socket.setLinger(boolean on, int linger);

    由于TCP的传输是双向传输,Socket提供了关闭输入流与输出流的方法,可以使连接处于半关闭的状态,只有两端都关闭了输出流,才是一个TCP连接的正常关闭状态。

    shutdownInput并不会发送TCP相关的断开连接报文,会导致的InputStream读到EOF(-1),OS会继续接收报文,确认收到的数据并默默地丢弃。

    shutdownOutput会发送一个FIN报文给对端,表示主动关闭的这一方已经没有数据需要发送,然后对端对FIN报文进行确认,被动关闭端依旧可以继续发送数据,主动关闭的一方继续读取数据。

    Server端代码(主动关闭)

    try (ServerSocket serverSocket = new ServerSocket(10086, 2)) {    Socket socket = serverSocket.accept();    socket.shutdownOutput();//FIN    InputStream is = socket.getInputStream();    while (is.read() != -1);//continue read, 此时socket处于FIN_WAIT2    TimeUnit.MINUTES.sleep(10);}

    Client端代码(被动关闭)

    Socket socket = new Socket();socket.connect(new InetSocketAddress("212.64.20.XX", 10086));if (socket.getInputStream().read() == -1) {    System.out.println("read EOF");//被动关闭,读到EOF, 此时socket处于LAST_ACK的状态}for (int i = 0; i < 5; i++) {    socket.getOutputStream().write('A');//依旧可以写数据}

    对于的TCP报文:

    tcp_connect_half_close

    Socket.close() 操作同时将InputStream与OutputStream都关闭,并释放OS分配的资源。
    由于

    ….

    (2021年01月09日更新)一直懒得写完….不过最近看到一本书很好地描述的Java Socket的网络编程,要是以前早点看到这本书就好了,少走一些弯路,不过《TCT/IP卷一》也是必不可少的:

    <<TCP/IP Sockets in Java, Second Edition>>

    https://book.douban.com/subject/3616173/

    ]]>
    + + + + + + <h3 id="详解Socket编程—连接与断开"><a href="#详解Socket编程—连接与断开" class="headerlink" title="详解Socket编程—连接与断开"></a>详解Socket编程—连接与断开</h3><p>由于Java的Socket接 + + + + + + + +
    + + + 详解Socket编程---TCP_NODELAY选项 + + http://wujingchao.github.io/2018/07/22/tcp_nodelay/ + 2018-07-21T16:00:00.000Z + 2018-10-07T04:56:26.000Z + + 详解Socket编程—TCP_NODELAY选项

    Nagle算法描述

    Socket编程中,TCP_NODELAY选项是用来控制是否开启Nagle算法,该算法是为了提高较慢的广域网传输效率,减小小分组的报文个数,完整描述:

    该算法要求一个TCP连接上最多只能有一个未被确认的小分组,在该小分组的确认到来之前,不能发送其他小分组。

    这里的小分组指的是报文长度小于MSS(Max Segment Size)长度的分组(MSS是在TCP握手的时候在报文选项里面进行通告的大小,主要是用来限制另一端发送数据的长度,防止IP数据包被分段,提高效率,一般是链路层的传输最大传输单元大小减去IP首部与TCP首部大小)。

    如果小分组的确认ACK一直没有回来,那么就可能会触发TCP超时重传的定时器。

    下面是一个简单的示意图,开启了Nagle算法与没有开启:

    nagle

    抓包分析

    默认开启Nagle算法

    由于局域网内延迟低,不容易看到开启Nagle算法的效果,所以专门整个腾讯云的服务器测试,延迟在40毫秒左右。

    ping

    Java代码与Unix C的Socket接口类似,这里使用Java代码作为示例简单一点。默认情况下Nagle算法是开启的,即socket.getTcpNoDelay()返回的数值为false,我们先分析这种场景。

    Receiver的代码:

    try (ServerSocket serverSocket = new ServerSocket()) {    serverSocket.bind(new InetSocketAddress(10086));//wildcard ip    Socket socket = serverSocket.accept();    System.out.println("Accept New Socket");    System.out.println("Tcp No Delay : " + socket.getTcpNoDelay());    InputStream is = socket.getInputStream();    OutputStream os = socket.getOutputStream();    int result;    while((result = is.read()) != -1) {        System.out.println((char)result);    }    TimeUnit.MINUTES.sleep(1);}

    Sender的代码:

    try(Socket socket = new Socket()) {    socket.connect(new InetSocketAddress("212.64.20.XX", 10086));    System.out.println("Tcp No Delay : " + socket.getTcpNoDelay());    InputStream is = socket.getInputStream();    OutputStream os = socket.getOutputStream();    for (byte c : "TCP_NO_DELAY".getBytes()) {        TimeUnit.MILLISECONDS.sleep(10);        os.write(c);        os.flush();    }    TimeUnit.MINUTES.sleep(1);} catch (IOException e) {    e.printStackTrace();}

    与服务器的延时在40毫秒左右,所以Sender这里每隔10毫秒就发送一次就可以演示出累计的小分组在收到ACK后才发送。注意如果是TCP发送的数据延迟还包含链路来回的延迟与Receiver捎带确认的延迟。

    这里抓包工具使用的是tcpdump,导出pcap文件后再使用wireshark观察发送与接收数据的过程。

    $ sudo tcpdump -v port 10086 -w TCP_DELAY.pcap

    cap

    • 首先第一行到第三行是TCP三次握手的报文,可以看到双方都各自通告的MSS大小,发送端的报文小于这个大小就可以理解为小分组

    • 第四行是Sender向Receiver发送的第一个字符’T’,对应的Len=1

    • 第五行是Receiver回来对第四行发送消息的确认ACK

    • 第六行,前面使用ping测试的延迟在40毫秒左右,而我们每10毫秒就会一个字符写到OS维护的发送缓冲区,所以确认ACK回来后,就已经累计了4个字符”CP_N”,发送的数据就是这4个字符

    • 之后的流程和上面的类似,可能会出现发送不是4个字符的情况,出现的原因就是延迟可能小于或者大于40毫秒

    下面是使用wireshark导出的时序图帮助进一步帮助理解这个流程。

    flow

    关闭Nagle算法

    只需要在发送数据之前对Socket调用一个简单的方法就可以关闭Nagle算法:

    socket.setTcpNoDelay(true);

    直接抓包,看下报文:

    cap

    可以看到,在Sender每10毫秒发送一个字符,不需要等到Receiver发送确认ACK,就继续发送,没有将数据放到OS维护的缓冲区。

    下面是使用wireshark导出的时序图:

    flow

    总结

    这个选项应该根据适合的场景进行判断关闭与否,例如实时性要求比较高的场景,类似用户鼠标操作,键盘输入,触摸屏事件输入,状态更新等这种连续的小分组数据,需要在对端立刻呈现,让用户尽可能感受不到延迟。但是如果网络延迟比较高,采用这种方式,那么会导致网路利用率下降。

    一般类似HTTP协议请求响应的模型的场景不太需要考虑禁用这个算法,因为在一条TCP连接上发送小报文,不管多小都代表了服务端任务执行的指示,完成了这个请求之后才能继续执行下一个请求,即使Sender端提前发送过去也没有作用,所以开启Nagle算法是能够优化网络传输的,并且在Receiver端有捎带延迟确认,省掉单独的ACK确认进一步优化小分组传输。

    另外HTTP2与HTTP协议不同,HTTP2是在一条TCP连接上进行所有HTTP请求,并且请求头部是压缩的就进一步加大了请求小分组的可能性,多个小分组HTTP请求并且分组大小的和小于MSS就会导致有延迟的现象,所以HTTP2的实现TCP_NODELAY选项是默认开启的。关于这点可以参考HTTP2对TCP_NODELAY的描述)。

    ]]>
    + + + + + + <h3 id="详解Socket编程—TCP-NODELAY选项"><a href="#详解Socket编程—TCP-NODELAY选项" class="headerlink" title="详解Socket编程—TCP_NODELAY选项"></a>详解Socket编程—TCP + + + + + + + +
    + + + Android性能优化相关 + + http://wujingchao.github.io/2018/07/02/android-optimize/ + 2018-07-01T16:00:00.000Z + 2018-07-15T07:48:03.000Z + + Android性能优化相关

    Android官方的性能优化指南

    Android Performance Patterns Season 1 [Article|Video]

    Android Performance Patterns Season 2[Article|Video]

    Android Performance Patterns Season 3[Article|Video]

    Android Performance Patterns Season 4[Article|Video]

    Android Performance Patterns Season 5[Article|Video]

    Android Performance Patterns Season 6[Article|Video]

    Android性能优化之渲染篇

    Android性能优化之运算篇

    Android性能优化之内存篇

    Android性能优化之电量篇

    Android内存优化之OOM

    精简安装包

    Android性能检测工具

    Systrace

    ]]>
    + + + + + + <h3 id="Android性能优化相关"><a href="#Android性能优化相关" class="headerlink" title="Android性能优化相关"></a>Android性能优化相关</h3><h4 id="Android官方的性能优化指南"><a + + + + + + + +
    + + + 阅读Binder代码的一些疑问 + + http://wujingchao.github.io/2018/05/01/binder_question/ + 2018-04-30T16:00:00.000Z + 2020-01-18T09:19:59.000Z + + 阅读Binder代码的一些疑问

    1.BinderInternal.getContextObject(null)的时候,有没有发binder命令?

    有,会使用PING_TRANSACTION,检查ServieManger Binder对象是否还活着,如果还活着的话,就给上层返回一个BpBinder对象。

    2.Service将自己加到ServerManager里面,在Service里面存的是什么东西?

    存放在ServiceManager维护的svcinfo的链表里,主要的信息有两个,一个是uint32类型的handle,以及Service的Name

    那这个handle到底是什么东西,表示什么?

    BBinder对象的地址

    3.对binder驱动做mmap系统调用的作用是什么?

    将一页物理内存映射到内核的虚拟地址空间和进程的虚拟地址空间,并把该空闲的内存块加到binder_proc维护的链表里面。有其他进程往该进程发数据,驱动直接把其他进程空间的数据往这块内存拷贝,这样,都能该进程就可以直接访问该内存里面的数据。

    4.Parcel.remove部分数据是怎么实现的?

    5.应用的Binder线程是怎么启动的,在哪里启动的?

    6.servicemanager以什么形式在系统中存在?

    后台进程的形态,在内核启动的时候,解析init.rc脚本的时候,就把位于/system/bin/servicemanager可执行程序启动。

    ]]>
    + + + + + + <h3 id="阅读Binder代码的一些疑问"><a href="#阅读Binder代码的一些疑问" class="headerlink" title="阅读Binder代码的一些疑问"></a>阅读Binder代码的一些疑问</h3><p>1.BinderInternal.g + + + + + + + +
    + + + Ubuntu 14.04 x64 搭建SS服务 + + http://wujingchao.github.io/2018/04/23/ss/ + 2018-04-22T16:00:00.000Z + 2018-07-02T15:05:27.000Z + + Ubuntu 14.04 x64 搭建SS服务

    最近找到一个比较好的梯子,速度也很快,可以看YOUTU,而且可以按月付,不用担心跑路,最便宜的套餐只要¥10!

    每次科学上网的ip出现了问题,就需要去销毁原来的服务器,重新申请ip,然后又重新搜一遍ss搭建的流程,下次不搜了,自己记录一下,后续有时间打算弄个脚本。(已有现成的脚本https://github.com/teddysun/shadowsocks_install)

    shadowsocks 服务器安装

    更新软件源

    sudo apt-get update

    然后安装 PIP 环境

    sudo apt-get install python-pip

    直接安装 shadowsocks

    sudo pip install shadowsocks

    运行 shadowsocks 服务器

    配置文件进行配置,方法创建/etc/shadowsocks.json文件,填入如下内容:

    {    "server":"",    "server_port":10086,    "local_address": "127.0.0.1",    "local_port":1080,    "password":"",    "timeout":30000,    "method":"aes-256-cfb"}

    各字段的含义:

    nameinfo
    server服务器 IP (IPv4/IPv6),注意这也将是服务端监听的 IP 地址
    server_port服务器端口
    local_port本地端端口
    password用来加密的密码
    timeout超时时间(秒)
    method加密方法,可选择 “bf-cfb”, “aes-256-cfb”, “des-cfb”, “rc4″, 等等。默认是一种不安全的加密,推荐用 “aes-256-cfb”

    创建完毕后,赋予文件权限:

    sudo chmod 755 /etc/shadowsocks.json

    为了支持这些加密方式,你要需要安装

    sudo apt–get install python–m2crypto

    然后使用配置文件在后台运行:

    sudo ssserver -c /etc/shadowsocks.json -d start

    配置开机自启动

    bash shell 启动时会执行/etc/rc.local这个脚本,所以在该脚本里面加入启动命令,就可以实现自启动。

    sudo vi /etc/rc.local

    在 exit 0 这一行的上边加入如下

    /usr/local/bin/ssserver –c /etc/shadowsocks.json
    ]]>
    + + + + + + <h3 id="Ubuntu-14-04-x64-搭建SS服务"><a href="#Ubuntu-14-04-x64-搭建SS服务" class="headerlink" title="Ubuntu 14.04 x64 搭建SS服务"></a>Ubuntu 14.04 x64 + + + + + + + +
    + + + 使用数字电路的基础逻辑门搭建计算机 + + http://wujingchao.github.io/2018/04/05/gate/ + 2018-04-04T16:00:00.000Z + 2020-01-21T13:07:38.000Z + + 使用数字电路的基础逻辑门搭建计算机

    逻辑门(Logic Gates)是在集成电路(Integrated Circuit)上的基本组件。简单的逻辑门可由晶体管组成。这些晶体管的组合可以使代表两种信号的高低电平在通过它们之后产生高电平或者低电平的信号。高、低电平可以分别代表逻辑上的“真”与“假”或二进制当中的1和0,从而实现逻辑运算。

    此外,逻辑门也可以使用继电器实现,早期的计算机就是使用它来完成的。

    基础逻辑门

    先介绍基本的逻辑门,并附上它们的真值表,虽然很简单,但是计算机复杂的功能都是由这些简单的逻辑门组成的。

    与门(AND Gate)

    与门

    ABout
    000
    010
    100
    111

    即只有同时输入都为真是,输出才为真,门里面的真假值是使用高低电平来表示的,例如0V为低电平表示假,5V为高电平表示为真, A,B表示输入,out表示输出。

    或门(OR Gate)

    或门

    ABout
    000
    011
    101
    111

    即有一个为真,输出就为真。

    非门(NOT Gate)

    非门

    Aout
    01
    10

    即输入与输出相反

    其实到这里,逻辑基本的门就已经介绍完了,剩下的门只不过这三种门的组合。

    或非门(NOR Gate)

    或非门

    ABout
    001
    010
    100
    110

    由或门,非门组成,只有两个输入都为假时,输入才为真。

    与非门(NAND Gate)

    与非门

    ABout
    001
    011
    101
    110

    由与门,非门组成,只有两个输入都为真时,输出才为假。

    异或门(XOR Gate)

    异或门1

    ABout
    000
    011
    101
    110

    异或门由或门,与非门,与门组成,有特定的电气符号:

    异或门2

    二进制加法器

    利用上面介绍的基础逻辑门,就可以实现二进制加法器,先来看一下一位的二进制加法器怎么实现。
    一位二进制加法很简单,可以将结果分为进位位与加和输出为:

    ab加和位进位
    0000
    0110
    1010
    1101

    观察加和位的输出与进位的输出,加和位可以使用异或门来实现,进位可以使用与门来实现,将这两个门连接在一起就是这个样子:

    半加器1

    刚好和上面的真值表的输出一致。

    这个被称为半加器,因为大多数二进制加法都是多于一位的,要考虑其低位的进位。

    为了简单,简化的半加器的符号:

    半加器2

    利用两个半加器就可以组成一个全加器:

    全加器1

    为了简单,简化的全加器的符号:

    全加器2

    得到了这全加器,很容易就可以扩展二进制加法器的位数8位,16位,32位….例如扩展为8位,8个全加器“串联”在一起即可,每一位的进位输出是下一位的进位输入。下图表示8位的加法器图示:

    8位加法器

    二进制减法的实现

    由于二进制的减法涉及借位复杂的操作,实现起来电路较为复杂,通常是利用加法来实现,没错了,就是利用将减数求补码与被减数相加来实现,可以将符号位与数值域统一处理。下面介绍实现的原理。

    求253-176的运算结果:  1111 1101 - 1011 0000= 1111 1101 - 1011 0000 + 1 0000 0000 - 1 0000 0000= 1111 1101 - 1011 0000 + 1111 1111 + 1 - 1 0000 0000= 1111 1101 + (1111 1111 - 1011 0000 + 1) - 1 0000 0000//被括弧的这个式子就是176的补码= 1111 1101 + 0100 1111 + 1 - 1 0000 0000//其实加法器只做到了这一步,进位后最高为溢出,剩下的就是我们想要的结果= 1 0100 1101 - 1 0000 0000= 0100 1101

    所以我们只需要在原来加法器的基础上,将减数进行补码运算即可。

    8位减法器

    RAM实现

    上面我们已经完成了二进制的加法与减法,现在我们需要将我们的运算结果存储起来。

    振荡器(时钟)

    我们将非门的输入与输出连接起来,得到这样的一个电路:

    振荡器

    由于非门是利用继电器的机制实现的,所以这个电路出现01交替的输出,频率取决于非门通断的速度。

    可以得到这样一个过程:

    振荡器输出

    RS触发器

    可以使用触发器来保存位的信息,能够保存一位的信息,就可以扩展到保存多位的信息。

    RS触发器的电路如下,由两个或非门组成:

    RS触发器

    真值表:

    SRQQ`
    1010
    0101
    00QQ`
    11NANA

    输入端S可以用来置位,输入端R可以用来复位。当我们向输入端输入信息之后,RS触发器就可以记住其状态。

    待续。。。

    ]]>
    + + + + + + <h3 id="使用数字电路的基础逻辑门搭建计算机"><a href="#使用数字电路的基础逻辑门搭建计算机" class="headerlink" title="使用数字电路的基础逻辑门搭建计算机"></a>使用数字电路的基础逻辑门搭建计算机</h3><blockquote> + + + + + + +
    + + + MTP协议总结与Android源码分析 + + http://wujingchao.github.io/2018/01/28/mtp/ + 2018-01-27T16:00:00.000Z + 2018-10-07T04:56:26.000Z + + MTP协议与Android源码分析

    前段时间有做MTP协议扩展的相关的内容,在这里总结一下。

    (注意协议方面有很多细节一篇简短的文章是不可能面面俱到,这里只是学习总结,本人接触协议的时间也不是很长,难免有纰漏,有错误之处请不吝指教)。

    协议部分

    概述

    Media Transfer Protocol即媒体传输协议,主要是用来管理移动设备上的图片、视频、音频等媒体信息,典型的有Android设备,相机设备。

    MTP协议是应用层协议,底层协议可以走USB或TCP/IP协议,只要能够无差错传输即可。

    tcp_underlying

    MTP协议框架上面定义了很多多媒体相关的命令,例如获取设备信息,获取对象信息,本文着重介绍MTP协议框架,然后举例特定的命令帮助理解。

    协议模型

    MTP协议有两个角色,类似于客户端与服务端,在MTP协议里面有特定的称号,发起请求的叫Initiator,对请求进行响应的叫Responder。Initiator通常对应于PC/MAC宿主机,Responder对应于被管理的设备,例如Android手机。任何操作都需要Inititaor发起,然后Reponder进行响应。

    Initiator对Reponder的大多数请求都是需要打开一个Session会话,类似于HTTP里面的Session,用于保存上下文相关的环境信息,例如,在MTP传输媒体文件过程中,Inititor传输媒体文件到Reponder是需要发送两次请求才能完成的,第一次请求发送SendObjectInfo的消息,告诉Reponder即将要发送的媒体信息,包括大小,格式,媒体文件名称等;第二次请求发送SendObject传输实际的文件,在这两次请求中第二次请求需要使用第一次请求保存的相关信息,所以就需要保持在一个Session会话里面。MTP按理论上说是可以支持多Session会话的。

    还有另一个关键的概念,就是Transaction,对应于Initiator发起请求,然后数据传输,Responder响应一次完整的过程,有点类似于数据库里面的事务,比如Initiator发起一次请求,在Reponder没有响应之前,是不能进行另一次请求。所以在USB单Session实现中,Initiator是不能同时发送多次请求的。

    传输模型

    前面介绍到Transaction对应于Initiator发起请求,然后数据传输,Responder响应。所以对于的请求,数据,响应传输分为三个阶段:

    • Request Phase
    • Data Phase
    • Reponse Phase

    其中Data Phase是可选的,并且是单向的。
    单向的定义就规定了Data Phase的数据流要么是Initiator到Reponder(以下简称I->R),要么是Reponder到Initiator(以下简称R->I)。
    MTP协议也规定Data Phase是可选的,就是意味着Initiator发送完成请求后,Reponder就直接响应,不需要传输数据,因为有的MTP消息不需要传输数据,Request与Repond本身就可以传递少量的参数。

    下图就是传输的三种情况:

    mtp_transfer_i-r

    mtp_transfer_i-r

    mtp_transfer_i-r

    数据流的字段是有Request的字段OperationCode决定的,根据不同的功能决定Data阶段的数据流向。比如Initiator读取媒体信息GetObjectInfo的数据流向就是R->I;Initiator发送媒体文件信息SenObjectInfo的数据流向就是I->R; 读取设备上媒体文件的个数GetObjectNum由于Reponse中携带的参数已经能够满足表示数量,所以就不需要Data Phase。

    下面来说一下Request与Reponse的Dataset,用来表示能够携带哪些参数。Request与Response的Dataset是一样的。需要特别注意的是,不同的底层协议对于Dataset的存放方式是不同的,MTP SEPC只给出的是USB的实现方式。

    mtp_req_resp_dataset

    最关键的是操作码OperationCode定义Request请求要进行什么样的操作,MTP Responder 该处理什么样的任务,然后根据功能决定Data的数据流向。
    对于USB来说是单Session的实现方式,在其实现的数据集是不包含sessionID这个字段的,但是在发送大多数Request之前,也还是需要发送OpenSession这个Request请求。

    TransactionID由Initiator指定,在一次完整的Request到Response都要指定相同的值,不需要每一次都相同。

    Request与Response可以携带0到5个参数,根据OperationCode的功能来决定。

    还有一种比较特殊的消息就是Reponder可以直接发送Event给Initiator,用来通知Initiator,Reponder出现了一些状况或者发生了一些变化,可以与Transaction关联,也可以不可Transaction关联,根据Event的事件来定。比如设备上新增了一条媒体文件的信息,就需要通过Event事件来通知Initiator来更新。

    mtp_transfer_event

    Event是不能传递二进制数据的,只能携带0到3个参数,其Dataset为:

    mtp_transfer_event_dataset

    常用功能的Request与Reponse的OperationCode,Event的EventCode,在MTP Spec规格文档里面有定义,不同的Code对应什么样含义以及携带什么样的参数,还给出了要厂商可以扩展的Code范围。

    之前看Android源码的时候就有点懵,spec上面的定义的Dataset与源码里面的对不上,后来看到sepc文档最后的这个表格才知道不同的实现方式数据的存放是不一样的,下面这个就是USB定义的MTP数据包,Request,Data,Response都要携带定义的头部信息,Initator与Responder都要读取USB数据包来解析MTP数据包。

    mtp_transfer_usb_container_dataset

    Request与Response的Payload就是携带的那0到5个参数,Data的Payload就是二进制数据,可能是媒体文件,也有可能是自定义的数据格式。

    对象模型

    mtp_transfer_objectinfo.png

    StorageID:对应一个设备上的存储分区,表现形式就是无符号32位的整数uint32, 高16位表示存储设备,低16位表示对应存储设备的分区。例如Android设备,有内部存储与外置SD卡,SD卡可能有多个分区,就对应不同的StorageID。

    ObjectHandle:实际就是一个int32的对象id,对应设备上的一个个媒体文件对象,可能是文件夹或者是媒体文件,MTP读取文件或者发送文件都需要这个id,其通常包含一个父Object,类似于文件系统的目录树,根路径的值比较特殊,0xFFFFFFFF

    ObjectFormat:媒体类型

    ….其余的不难理解,需要时查询文档

    源码部分

    Android源码的处理过程:

    处理MTP请求的应用就是提供媒体数据库的MediaProvider,对应的包名为com.android.providers.media,对于源码树的位置packages/providers/MediaProvider。
    其本身是一个系统应用,在AndroidManifest里面监听USB状态变化的广播:

    <receiver android:name=".MtpReceiver">   <intent-filter>        <action android:name="android.intent.action.BOOT_COMPLETED" />   </intent-filter>   <intent-filter>        <action android:name="android.hardware.usb.action.USB_STATE" />   </intent-filter></receiver>

    当连上USB数据线,就会将MtpService.java启动,然后加载动态库,开启一个线程,jni调用MTPServer.cpp的run方法,不断地从mtp驱动读消息,处理,响应。而MTP的Object对应的就是文件数据里面的一个个文件。

    mtp_transfer_mtpserver_main_flow

    MtpServer.cpp的run方法:

    void MtpServer::run() {    int fd = mFD;//打开的mtp驱动文件描述符    while (1) {        int ret = mRequest.read(fd);//读取Request请求,放到mRequest封装的类里面        //...        MtpOperationCode operation = mRequest.getOperationCode();        MtpTransactionID transaction = mRequest.getTransactionID();        // FIXME need to generalize this        bool dataIn = (operation == MTP_OPERATION_SEND_OBJECT_INFO                    || operation == MTP_OPERATION_SET_OBJECT_REFERENCES                    || operation == MTP_OPERATION_SET_OBJECT_PROP_VALUE                    || operation == MTP_OPERATION_SET_DEVICE_PROP_VALUE);//根据OperationCode来处理Data Phase的数据流向        if (dataIn) {            int ret = mData.read(fd);            //...        } else {            mData.reset();        }        if (handleRequest()) {//handleRequest根据不同的OperationCode功能处理不同的任务            if (!dataIn && mData.hasData()) {                mData.setOperationCode(operation);                mData.setTransactionID(transaction);                ALOGV("sending data:");                ret = mData.write(fd);            }            mResponse.setTransactionID(transaction);            ret = mResponse.write(fd);//响应            const int savedErrno = errno;        } else {            ALOGV("skipping response\n");        }    }    //....}

    对照MTP SEPC文档的附录接口看代码比较简单,就是读取解析结构化数据或者封装需要发送的结构化数据,但是有一点需要特别注意,
    处理发送文件与读取文件的操作不是在用户空间完成的,而是通过IOCTL,调用驱动接口在内核空间完成,这样会比较高效,不用再用户空间拷贝一份处理给内核空间,而是有内核空间直接发送。

    ]]>
    + + + + + + <h3 id="MTP协议与Android源码分析"><a href="#MTP协议与Android源码分析" class="headerlink" title="MTP协议与Android源码分析"></a>MTP协议与Android源码分析</h3><p>前段时间有做MTP协 + + + + + + + +
    + + + 快速排序的另一种简单写法 + + http://wujingchao.github.io/2017/05/14/quick-sort/ + 2017-05-13T16:00:00.000Z + 2018-10-07T04:56:26.000Z + + 快速排序的另一种简单写法

    最近在看TCPL,第四章的函数与程序结构里面有一个快速排序的例子,并且几句话就把快速排序总结了,非常精炼。快速排序利用的是分治的思想(Divide Conquer),理解了分治,就能理解快排。这里记录一下,并且讲解一下程序的原理。

    对于一个给定的数组,从中选择一个元素,以该元素为界将其余元素划分为两个子集,一个子集中的所有元素都小于该元素,另一个子集中的元素都大于或等于该元素。对这两个子集递归执行这一过程当子集中的元素小于2时,这个子集就不需要再次排序,终止递归。

    static void sortRecursively(int[] arr, int left, int right) {    if (left >= right) {        return;    }    int pivot = (left + right)/2;    swap(arr, left, pivot);    int last = left;    for (int i = left + 1; i <= right; i++) {        if (arr[left] > arr[i]) {            swap(arr, ++last, i);        }    }    swap(arr, left, last);    sortRecursively(arr, left, last - 1);    sortRecursively(arr, last + 1, right);}

    其中交换数组元素的代码被抽取出来:

    static void swap(int[] arr, int k, int j) {    int tmp = arr[k];    arr[k] = arr[j];    arr[j] = tmp;}

    首先选取枢纽点,这里选取的是元素中心位置,然后交换到最左侧的left,这样做的目的便于后面双指针的移动。

    quick_sort1

    交换后并定义last指针指向left位置,这里的last指针表示last之前并且包括last的元素都小于枢纽元素pivot。

    quick_sort1

    之后便开始通过对比枢纽元素与枢纽元素后面的元素,将小于枢纽元素的元素交换到前面,并移动last指针,由于24与67都比23大,所以last就保持不变,也没有任何交换的操作。

    quick_sort1

    当遇到i移动到3的时候,便交换24与3,并且移动last指针指向3。

    quick_sort1

    之后继续移动i,直到最后一个元素。这样,last之前的元素都小于枢纽元素,last之后的元素都大于等于枢纽元素。

    quick_sort1

    quick_sort1

    然后再恢复划分的子集,让枢纽元素之前的子集和枢纽元素之后的子集分别递归调用排序,递归的终止条件就是子集只有一个元素的时候,这时子集当然是有序的。这样就完成了对整个数组的排序。

    对于快速排序排序还有一些复杂的细节,比如枢纽元素的选择等。关于时间复杂度与空间复杂度的分析可以参考维基百科

    ]]>
    + + + + + + <h3 id="快速排序的另一种简单写法"><a href="#快速排序的另一种简单写法" class="headerlink" title="快速排序的另一种简单写法"></a>快速排序的另一种简单写法</h3><p>最近在看<a href="https://book.doub + + + + + + + +
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