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iOS elearning------4 UIWebView Three ways to load local data

iOS elearning------4 UIWebView Three ways to load local dataCategory: IOS 2014-06-27 12:56 7078 People read comments (0) favorite reports UIWebView is an iOS built-in browser that can browse Web pages, open documents html/htm PDF Docx txt, and other formats. The Safari browser is done through UIWebView.The server tells the browser to use that plug-in to read the relevant files by putting the MIME identifiers into the transmitted data.UIWebView loa

iOS elearning------4 UIWebView Three ways to load local data

iOS elearning------4 UIWebView Three ways to load local dataCategory: IOS2014-06-27 12:56 959 people read comments (0) favorite reports UIWebView is an iOS built-in browser that can browse Web pages, open documents html/htm PDF Docx txt, and other formats. The Safari browser is done through UIWebView.The server tells the browser to use that plug-in to read the relevant files by putting the MIME identifiers into the transmitted data.UIWebView loadi

iOS elearning------3 implementing asynchronous post requests with non-proxy methods

other operations.The Async method is when the network request is complete, then the page is updated, and so on.The only difference between proxy and non-proxy is in the third part of the network request, which is nsurlconnecttion.。。 The others are the same,. One is implemented by proxy. One is implemented by Nsurlconnection's two class methods. All the others are the same.Cache Policy for Nsurlrequest:2 Build Request Nsurlrequest //Cache side abuse// timeout length nsurlrequest *reques

iOS elearning------10 Native API file uploads

*bodydata = [NsmutabledaTA data]; [Bodydata appenddata:[startstr datausingencoding:nsutf8stringencoding]; NSData *imagedata = uiimagepngrepresentation (self.imageView.image); [Bodydata Appenddata:imagedata]; [Bodydata appenddata:[endstr datausingencoding:nsutf8stringencoding]; [Request Sethttpbody:bodydata]; 5> specify Content-type, when uploading the file, you need to specify Content-type and content-length nsstring *contentstr = [NSString stringwithformat:@] Multipart/form-

iOS elearning------4 UIWebView Three ways to load local data

files are not used, you can find related files in the specified baseurl. //load the files in the sandbox as binary data, NSData *data = [NSData Datawithcontentsoffile:path]; // [Self.webview loaddata:data mimetype:@ "application/vnd.openxmlformats-officedocument.wordprocessingml.document "textencodingname:@" UTF-8 "Baseurl:nil"; } UIWebView three ways to load content:1 loading Local data filesSpecify the mimetype of the fileEncoding format using @ "UTF-8"2 Loading HTML strings (a

iOS Development elearning 11: Nsurlsessiondatatask offline Breakpoint Download (breakpoint continuation)

write:data.bytes maxLength:data.length];4. You should close the stream when it is not needed[Stream Close];```(2) Settings for the network request header (you can set a part of the request download file)"' OBJC1. Set the Request object1.1 Create Request PathNsurl *url = [Nsurl urlwithstring:@ "Http://120.25.226.186:32812/resources/videos/minion_01.mp4"];1.2 Creating a Mutable Request objectNsmutableurlrequest *request = [Nsmutableurlrequest Requestwithurl:url];1.3 Get the remaining data size of

Analysis of various encryption technologies and code samples in PHP, and php encryption code samples

Analysis of various encryption technologies and code samples in PHP, and php encryption code samples Symmetric encryption (also called private key encryption) refers to the encryption algorithm that uses the same key for encryption and decryption. It is also called the traditional cryptographic algorithm, that is, the encryption key can be derived from the decryption key, and the decryption key can also be

The method of random disturbance of training samples in matlab, matlab Samples

The method of random disturbance of training samples in matlab, matlab Samples Use randperm () to generate random seeds, and then swap locations for random sample extraction. Official content: The built-in function randperm (n) of Matlab generates random orders of integers ranging from 1 to n without duplicates. Then, we can use it to obtain random numbers without duplicates.Function p = randperm (n );% RAN

Java programming: Download the "Samples and demos" __ algorithm for the specified JDK version

Recently in the study of JDK source code, the machine is installed "jdk1.7.0_71", the need to download the official "samples and demos", but the government does not provide the old version of the "Samples and demos" Download, how to do it. After puzzled efforts, finally found a solution on the StackOverflow. We can guess the URL of "Samples and demos" via the JDK

101 samples for Visual Studio

Share some programming instances (vb version) for you to download: 101 samples for Visual Studio 2003Download 101 samples for Visual Studio 2005 The base class library Samples The Data Access SamplesThe web development samples The Windows Forms Samples These examples a

IBM Cognos samples install

Because there are few books on Cognos, we often need to learn through the official documentation. To better learn Cognos, We need to install samples, the so-called samples is a database source provided by IBM under different databases. In order to find this samples, it has not been found on the IBM official website for a long time. It has been a great deal of har

NET Compact framework technology Samples

This sections contain samples for the. NET Compact framework using Microsoft Visual Studio 2005. You can deploy the samples either to a Pocket PC or to a Pocket PC emulator.In this section Bubble technology sample Provides an application that demonstrates the drawing capability of the. NET Compact framework. Com callback sample Demonstrates how to call a managed object from

Opencv Haar training-training samples (4)

1. Haier TrainingNow, we use haartraining.exe to train our classifier. The training statement is as follows: Usage:./haartraining-Data -VEC -BG [-NPOs [-Nneg [-Nstages [-Nsplits [-MEM [-Sym (default)] [-nonsym][-Minhitrate [-Maxfalsealarm [-Weighttrimming [-Eqw][-Mode [-W [-H [-BT [-Err [-Maxtreesplits [-Minpos Kuranov et. al. pointed out that 20*20 samples have the highest accuracy rate. In addition, the four split nodes have the

Chapter 2 wtl wizardry and wtl Samples

Chapter 2 wtl wizardry wtl Samples Wtl wizardry The original article uses the wtl Appwizard of vc6 and earlier versions, which is a simple introduction and can be easily applied in practice. In addition, the latest wtl8.1 (wtl8.1 released in)) Interface Options are slightly different from this, this part is omitted. Wtl Samples To better understand wtl, we provide three examples.ProgramGuidgen, mtp

Goodfellow and others proposed adversarial spheres: a study of the origin of antagonistic samples from simple manifolds

assumptions about confrontation samples: a more common assumption is that the linear characteristics of the neural network classifier in the input space are too strong (Goodfellow et al., 2014; Luo et al., 2015).Another assumption is that the confrontation sample is not the main part of the data (Goodfellow et al., 2016;Anonymous, 2018b,a; Lee et al., 2017). Cisse and others argue that the larger singular values in the internal matrix make the classi

Gym-101670g ice cream samples (CTU open contest 2017 square meter acquisition)

Question: To encourage visitors active movement among the attractions, a circular path with ice cream stands was built in the park some time ago. A discount system common for all stands was also introduced. when a customer buys ice cream at some stand, he is automatically granted a discount for one day at the next stand on the path. when visitors start at any stand follow systematically the discount directions ctions to the next stands, they eventually traverse the whole circular path and return

[Introduction to algorithms-012] n random equi probability samples m

Introduction to algorithm law p129 after-school question 5.3-7 Suppose we want to create a random sample of the set {1, 2, 3 ,..., N}, thatis, an M-element subset S, where0 ≤ m ≤ n, such that each M-subset is equally likely to be created. one waywocould be to set a [I] = I for I = 1, 2, 3 ,..., N, call randomize-in-place (a), and then take just the first marray elements. this method wocould make n callto the random procedure. if n is much larger than m, we can create a random samplewith fewer ca

Theory and Experiment of intercepting some samples conforming to exponential distribution

Recently, when solving the problem of processing samples that conform to the exponential distribution, we made a hypothesis. Then we need to make a small experiment to confirm the correctness of the theory simply derived based on the hypothesis. First, assume that given a sample set with N as the total number, the elements in the sample set conform to the exponential distribution, that is, the value of X of each element in the sample set S conforms to

Examples of random forest samples and classification targets

Examples of random forest samples and classification targetsAttention:1. Target category is more than 3 (only two logical categories)2. Self-variable x in unit of behavior3. Dependent variable y is listed as unit (each value corresponds to a row of x)4. Other No, give it to the program.#-*-coding:utf-8-*-"""Created on Tue 17:40:04 2016@author:administrator"""#-*-coding:utf-8-*-"""Created on Tue 16:15:03 2016@author:administrator"""#Random Forest DemoI

Install and configure Cognos Samples

TheArticleFrom iteye, original article link: http://dongzhumao86-yahoo-com-cn.iteye.com/blog/832289 The installation process is not mentioned. The installation process is as follows:1. Restore the database:Restore the database gosales.zipand gosalesdw.zip to the database gosales and gosalesdw.If my database is sql2005, You need to select the data file location that overwrites the original database and specifies gosales or gosalesdw in the recovery option; otherwise, the database cannot be resto

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