shades of magenta

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GitHub on Fuchsia project related articles translation-Getting Started (FUCHSIA-MIRROR/MAGENTA/GETTING_STARTED.MD)

Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced. Quick Start Recipes- QuickStart For the purpose of this document, we'll assume that Magenta was checked out in $SRC/magenta and that we'll build Toolch Ains, QEMU, etc alongside that. Various make invocations is presented with a '-j32 ' option for parallel make. If that's excessive for the machine you

"Magenta project" to teach you to create music with TensorFlow neural network

original link: http://www.cnblogs.com/learn-to-rock/p/5677458.htmlaccidentally on the internet to see a I am very interested in the project Magenta, with TensorFlow let neural network automatically create music. The vernacular is: You can use some of the style of music to make models, and then use the training model of the new music processing to create new music. spent a half-time to finally have the results, very happy, but also this half-day experi

Photoshop pull up grass characters photo Soft magenta

Magenta is a very gorgeous color, the best time to reduce the brightness of the picture, and then slowly polish. The main color, you can render some blue in the dark to enrich the color of the screen. Triple recommended: photoshop7.0 Mini version free download | Photoshop CS5 Chinese free Download | Photoshop free Download Original Final effect 1, open the original material, create an optional color adjustment layer, red, yellow,

Python Basics: Shades of a copy

': []}, 39905584) #原dic ID ({' Disk ': [], ' CPU ': [+], ' io ': [], ' memory ': [70]}, 39 906736) #浅拷贝 Id********************these is deep copy********************* ({' Disk ': [[], ' CPU ': [+], ' IO ': [+], ' Me ' Mory ': [[]}, 39905584) #原dic ID ({' Disk ': [[], ' CPU ': [+], ' IO ': [], ' Memory ': []}, 39907168) #深拷贝 IDAs you can see, assignments, shallow copies, and deep copies are meaningless for numbers and strings because they always point to the same memory address.For dictionaries,

Generators and iterators, shades of Copy

, 3, [One, one, ' aaa ']Print(L2)#[1, 2, 3, [One, one, ' aaa ']l1[0]=0Print(L1)#[0, 2, 3, [One, one, ' aaa ']Print(L2)#[1, 2, 3, [One, one, ' aaa ']Print(ID (L1) ==id (L2))#flaseCompare the memory address of L2 and L1: False, indicating that L2 in memory has been partially copied L1 data, but only a shallow copy, the second layer of data is not a successful copy, but point to the second layer of data in the memory address of the L1, so the shared memory ' equals ' equal value assignment ', So th

Python's shades of Copy

']} {' K1 ': ' V1 ', ' K2 ': ' v2 ', ' K3 ': [' A ', ' B ', ' C ']}Conclusion: For the method of assignment, either modifying the value of the first layer or the value of the second layer will affect the other variable; for a shallow copy, modifying the value of the first layer has no effect on another variable, but modifying the value of the second layer will modify the original variable synchronously; for deep copies, Whether you modify the first layer or the second layer or even more layers,

Python's shades of Copy

;> Print ID (n1)11267952>>> Print ID (n3)11151792>>> Print ID (n1[' K3 ') # #查看内存地址相同139853825328696>>> Print ID (n3[' K3 ') # #查看内存地址相同139853825328696650) this.width=650; "Src=" https://s2.51cto.com/wyfs02/M01/9A/EB/wKiom1lcR1bxJO5bAAAojoI_Hfw379.png-wh_500x0-wm_ 3-wmp_4-s_455700749.png "title=" qq picture 20170705095448.png "alt=" Wkiom1lcr1bxjo5baaaojoi_hfw379.png-wh_50 "/>Deep Copy , recreate all the data in memory (excluding the last layer, that is, Python's internal optimization of strings

A brief analysis of Python's shades of Copy

Import Copy#浅拷贝person = ["Name", ["Saving", 1000]]P1 = copy.copy (person)P2 = person.copy () #两种都是浅拷贝Print (PERSON,P1,P2) # # #结果为 [' name ', [' saving ', [+]] [' Name ', [' saving ', ' +]] [' Name ', [' saving ', 1000]]Person[0] = "Clark"Print (PERSON,P1,P2)# # #结果为 [' Clark ', [' saving ', +]] [' Name ', [' saving ', ' + '] [' name ', [' saving ', ' + ']] single character unchangedPERSON[1][1] = 2000Print (PERSON,P1,P2) #记住这两种方式的最后结果# # # #结果为 [' Clark ', [' saving ', ' +]] [' Name ', ['

Python Basics (v): A list of shades of copy

','ha ha haha','Old Five'],'Old Six','Lao Qi']In fact, the principle is very simple, the middle of the nested list is actually allocated space alone, and then List1 and List2 are to refer to the address, so when its value changes, two lists are changed.Deep copyThe copy module needs to be used for deep replication to see examples.ImportCopylist1=['boss','Dick',['Old Three','Old Four','Old Five'],'Old Six','Lao Qi']list2=copy.deepcopy (List1)Print(List1,'\ n', List2)#print a list of twoPrint(ID (

Python's shades of Copy

the L1 of the first layer of data, but L2 can not copy the L1 of the second layer of data, that is, the list of the list, so he can only point to the second layer of data in the L1Thus, when the second layer of data in the L1 is modified, the second layer of data in a shallow copy of the L1 is changed accordingly.Deep copy: Data is not shared at all (copying its data completely independent of one memory, full copy, data not shared)A deep copy is a completely duplicated copy, and the data does n

The merging and cloning of JS----objects and the shades of arrays

understanding, he is the original array out of the part to form a new array. We can complete the deep copy of the array as long as it is set to extract all. The code is as follows:var arr = [1,2,3,4,5]var arr2 = arr.slice (0) arr[2] = 5console.log (arr) Console.log (ARR2)The results of the operation are as follows:The Concat method implements the deep copy of the arrayThis code is also very simple, the principle is more rude. It is a method for connecting multiple arrays to form a new array. So

Python Foundation 07set set of shades and copies

-->>list list (tuple)List-->>tuple Tuple (list)List--->>> string "". Join () methodString--->>> list split cut0, "", None, [], {}, (), set ()----->>>> can be converted to falseTwo, set set set element is not repeat .. element must be (int, str, tuple,bool) Note : The elements in the set set must be hash , but the set body is not a hash the. Set is Variable . Set collection and deletion and modification:Increase:. Add () duplicate content is not updated.

LINUX nohup command input and output shades in and out

Command Submit job with nohup commandIf you submit a job using the Nohup command, all output from the job is redirected to a file named Nohup.out by default, unless the output file is specified separately:Nohup command > Myout.file 2>1 In the example above, the output is redirected to the Myout.file file. Use jobs to view tasks. Use FG%n to close.There are also two commonly used FTP tools Ncftpget and Ncftpput, can be implemented in the background FTP upload and download, so you can use these

Python's shades of Copy

the shades of copy:1, reduce the use of memory2, in the cleaning, modification or storage of the data, the original data is copied to prevent data modification, the original data can not be found.For a dark copy of an immutable object:Immutable object type, not copied, even with a deep copy, the view ID is the same, if it is re-assigned, but also just re-create a new object, replace the old only.In a word, an immutable type, whether deep or shallow,

Kernel Magenta used by fuchsia

Code Download Address Https://fuchsia.googlesource.com/magenta Using GitHub's image Https://github.com/fuchsia-mirror/magenta Brief introduction Https://github.com/fuchsia-mirror/magenta/blob/master/docs/index.md Magenta is the core platform that powers the Fuchsia OS. Magent

About Python's shades of Copy

About Python's shades of Copy1 ImportCopy2 3 #A shallow copy copies only the first layer, and the data in the back layer changes because the pointer follows the change.4Copyone = ["Walk", 28, [4300, 5000]]5CP1 =copyone.copy ()6Cp1[0] ='On_foot'7CP1[1] =' in'8Cp1[2][0] = 93009 Print("list Copyone:%s"%copyone)#after a shallow copy, 4300 of the original data has become 9300Ten Print("shallow copy effect:%s"%CP1) One A #deep copy is full copy -Copyone =

The relationship between Magenta and LK

Https://github.com/fuchsia-mirror/magenta/blob/master/docs/mg_and_lk.md LK is a Kernel designed for small systems typically used in embeddedapplications. It is good alternative to commercial offerings Likefreertos Orthreadx.such Systems often has a very limited amount of RAM , a fixed set of Peripheralsand a bounded set of tasks. On the other hand, Magenta targets modern phones and modern personal compute

Raspberry Pi 3 running on Fuchsia/magenta OS

Google has finally released its Fuchsia/magenta kernel of the Raspberry Pi version, the following describes how to compile and run Ready to work, first need to have an HDMI screen, I'm here is the 800x480 HDMI screen, then the keyboard Download Magenta code from Google src or github Https://fuchsia.googlesource.com/magenta In the running directory Scripts/downloa

Python Learning--Shades of copy

email account -msg[' to']=FORMATADDR (["a misty rain", My_user])#corresponding recipient mailbox nickname in parentheses, Recipient's email account -msg['Subject']="python mail test" #the subject of the message, it can also be said to be a title - inServer=smtplib. SMTP ("smtp.163.com", 25)#SMTP server in the sender's mailbox, port is -Server.login (My_sender,"Email Password")#the corresponding in parentheses is the sender's email account, email password toServer.sendmail (my_sender,[my_user,]

Common shades of CSS

One, box-shadow:0 2px 15px 0 rgba (0,0,0,.15)!importantTwoBox-shadow: 0 2px 6px 0 Rgba (0,0,0,.4); Three. tofu-block-hover {transition:opacity 0.3s,width 4s,height 4s;border:1px solid #e7e7e7;padding:18px;Background-color: #fff;Position:absolute;border:1px solid #00c1e0;width:120%;height:120%;Margin-top:-8%;Margin-left:-8%;box-shadow:0 0 8px #00c1e0;Z-index:2;/* OPACITY:0; */Filter:alpha (opacity=0);-ms-filter:progid:dximagetransform.microsoft.alpha (opacity= (0));}Common

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