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Hardware knowledge: Mobile Hard disk

About factory capacity calculation:The factory is measured in 1000 units, while the PC is 1024,If the mobile drive is 2T, X = 2*1000*1000*1000*1000 B, Y = x/1024/1024/1024/1024 = 1.818989Tetc...About moving hard disk partitions:can use the operating system with the partition tool, computer---management->I'm using the partition assistant,The emphasis here is that NTFS partitioning, at least 50M, takes up a certain amount of space ( space for informatio

Call Baidu Maps App

*/ Private Boolean Isinstallbyread (String packagename) {return new File ("/data/data/" + PackageName). exists (); }Using intent to invoke the gold maptry {Intent = intent.getintent ("ANDROIDAMAP://PATH?SOURCEAPPLICATION=GASSTATIONSID=BGV Is1slat=34.264642646862slon=108.95108518068sname= Current Position did=bgvis2dlat=36.3dlon= 116.2dname= End Position dev=1m=2t=0 ");if (Isinstallbyread ("Com.autonavi.minimap")) {startactivity (intent);//Start Cal

Learning Merge Sort

Merge sort, is also based on the idea of divide and conquer, the array is divided continuously until the end of an element, and then 22 merge, because from the beginning of an element, so that each of the merged array is ordered, the merge only need a constant time to complete, so its time recursion is: T (n) = 2T (N/2) + O (n ), the previous item is a time complexity divided into two sub-arrays, and the latter is the time complexity of merging two so

Sort-leetcode "Sort"

partition. This recursion, once solved, givesT(n) = O(n)And thus we have a linear time solution. Note that since we have need to consider one half of the array, the time complexity isO(n). If we need to consider both the halves of the arrays, like quicksort and then the recursion would beT(n) = 2T(n/2) + O(n)And the complexity would beO(nlogn).Of course, is the O(n) average time complexity. In the worst case, the recursion may become and the T(n) = T

threads, processes

(Threading.active_count ())The above code runs the resultT-0t-1T-2T-3T-4T-5T-6T-7T-8T-911Thread 0thread3Thread4Thread1Thread2Thread5Thread9Thread8Thread7Thread6Thread WaitsImportThreadingImport Timedefrun (N): Time.sleep (1) Print("Thread", N) t_list= [] forIinchRange (10): T= Threading. Thread (Target=run, args=(i,)) T.start () t_list.append (t)#print (t_list) forTinchT_list:t.join ()Print("--main Thread---")The above code runs the resultThread 42

Learning Note: Can persist segment tree

can usually establish a durable line tree solution with prefixes and properties. The so-called prefix and the nature, refers to each element I establishes the segment tree T (i), T (i) contains the information of 1-i, and this information is to be reduced. We can use the subtraction of the tree to change part of the range into an entire range. Specifically, for queries on linear tables [l,r], the common pattern is query (T (L)-T (r-1)), and for queries on tree paths, because each node has a un

Reproduced Zookeeper principle and use

session will have a time-out. Because the zookeeper cluster will persist the session information of the client, the connection between the client and the zookeeper server can be moved transparently between the zookeeper servers before the session expires.In real-world applications, if the communication between the client and server is frequent enough, the session maintenance does not require additional information. Otherwise, the ZooKeeper client sends a heartbeat to the server every T/3 MS, an

The 14th Week summary of the Design foundation of information security system

from the cache/main memory request.Step three: Cache/main Memory returns PTE to the MMU.Fourth step: The valid bit in PTE is 0, so the MMU triggers an exception, passing the control of the CPU to the fault handler in the operating system kernel.Fifth step: The page fault handler determines the sacrifice page in the physical memory, and if it has been modified, swap it out to disk.Sixth step: The page is paged into the new page and updates the PTEs in the memory.Seventh step: The fault-pages han

Coexistence and migration of EX2010 and EX2013 01-Design and description

process, Exchange2010 does not need to specify a legacy host name on the public network.1.4.3 Coexistence, migration instructionsExchange there is a need to coexist between 2 versions before migrating to 2013. Exchange coexistence refers to the fact that multiple versions of Exchange servers are joined to the same Exchange organization, and that the servers can be accessed and co-existed before the migration of the message data is realized. The purpose of exchange coexistence is not only to re

Fstab GPT Screen

Fstab System Performance OptimizationVim/etc/fstab##/etc/fstab# Created by Anaconda on Sat 27 05:27:44 2016## Accessible filesystems, by reference, is maintained under '/dev/disk '# See mans Pages Fstab (5), Findfs (8), mount (8) and/or Blkid (8) for more info#UUID=8CCE7E6A-21C2-43C7-92A2-1AF53FBE9F5F/EXT4 Defaults 1 1UUID=09099682-C512-446A-9677-742EF2B7FACC swap swap defaults 0 0TMPFS/DEV/SHM TMPFS Defaults 0 0Devpts/dev/pts devpts gid=5,mode=620 0 0Sysfs/sys Sysfs Defaults 0 0PROC/PROC proc D

ACM Learning process-hihocoder 1233 Boxes (BFS) (2015 Beijing online game)

first line there's an integer T (t≤6000), indicating the number of test cases. The following 2T lines describe the test cases.In each test case, the first line contains an integer n, indicating the number of slots. The second line contains n integers v1,v2...vn, indicating the volume of the boxes. It is guaranteed, all VI in a test case, is different.Please note that nOutputFor each test case, print a line containing one integer indicating the answer

Leetcode Summary--part of the tree structure

returns root back. This template is very useful in the construction of the tree, and several other questions are implemented according to this.Next is the convert Sorted List to binary search tree, which is similar to the convert Sorted Array to binary search tree, except that the data structure stored by the element is replaced with a linked list, which introduces a heavy The problem is that the link list is not random access, that is, not O (1), assuming that each time to get the midpoint, an

The capacity of the 3TB HDD is beyond the traditional partition standard support

system partition C disk, an SSD big game and PS and so need to load software use, large capacity of the mechanical hard disk as a storage disk on the line, and then equipped with 8 hard drives can be installed on the TT LV10 chassis without pressure.Why use 3t to do the system? Why not 2t, it's so troublesomeWin7x64 uses 3T to do the warehouse completely without pressure.Just hang it up and you can use it?Others are talking about doing system disk bo

Open-source Fortress machine installation test on-line deployment-----Unicorn open-source Fortress machine

= "Wkiol1cb9agdpuggaacr9getyc8890.jpg"/>My hardware physical machine for 8G memory, ordinary E3 single CPU,2T serial drive, installation process about to wait about five minutes, installation completed, system restart, You can exit the disc. System configuration:1. After installation, the system default IP is : Eth0 192.168.1.100/24, you can directly use the notebook to configure a network segment of the IP, and then directly connected to the ETH0 , u

A simple stringformat.

Write a simple stringformat to use for yourself.functionstringFormat (format, args) {varFormatdata; if(Arguments.length = = 2 args typeof(args) = = "Object") {Formatdata=args; } Else{formatdata= Array.prototype.slice.call (arguments, 1); } varPattern = []; for(varKeyinchformatdata) {Pattern.push ("\\{" + key + "\ \}"); } if(!pattern.length) {returnformat; } Pattern= Pattern.join ("|"); returnFormat.replace (NewREGEXP (Pattern, "img"), function(Matchvalue, index, inputstring) {varKey =

LVM Snapshot Backup and recovery

, obviously not enough space.2.VG Space ExpansionHere, you may have a question "How much space does the VG need to expand?" "The above mentioned cow principle, the greater the snapshot, the more we do in the snapshot cycle, but we have limited space, so we generally use the snapshot space is about 10% of the original volume ." Now we have a 2T size backup disk/DEV/SDF1 to use. [[emailprotected]~]#vgextendvg_image/dev/sdf1volumegroup "Vg_image" success

KVM (LIBIVRT) bridge and NAT mode coexistence

Requirements Description: In order to cooperate with the project acceptance, and to verify the smooth process, the original deployed on a public network server 7 KVM virtual machine to migrate to the easy-to-carry offline (Dell Precision m6800/i7/32g/ 256SSD+2T). 7 KVM VMs in 4 are windows7,3 are domestic kylin, each equipped with a public network IP(for the purpose of remote demonstration). Because the IP in the project code is written dead,

The main theorem of screwing

Today to see the guide, see the main theorem of this piece of various progressive, polynomial greater than less than what let me humble, now share a bit.The so-called Principal theorem is a method used to solve the recursive equation, which can be used for solving most recursive equations.Set the recursive equation to T (n) =at (n/b) +f (n) (where a≥1,b>1)Main theorem:(1) If there is a constant ε>0 f (n) =o (n^ (logb^a-ε)), then T (n) =θ (n^ (logb^a));(2) if f (n) =θ (n^ (logb^a)), then T (n) =θ

Codeforces Round #370 (Div. 2) D. Memory and Scores DP

D. Memory and ScoresMemory and his friend Lexa is competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [- k; K] (i.e. one integer among - K,- k + 1,- K + 2, ...,-2,-1, 0, 1, 2,.. ., k -1, K) and add them to their the current scores. The game has exactly T turns. Memory and Lexa, however, is not good at the this game, so they both always get a random integer at

Sub-sequence is the most large

recursively, and the third case is maximal and can be obtained by finding the largest sum of the first half and (including the last element of the first half) and the largest sum of the second half (including the first element of the second half). Recursive method, Complexity is O (NLOGN) Long Maxsumrec (const vector { if (left = = right) { if (A[left] > 0) return A[left]; Else return 0; } int center = (left + right)/2; Long maxleftsum = Maxsumrec (A, left, center); Long maxrightsum = Maxsumrec

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