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CHAPTER 6 CLASSES AND STRUCTS
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Tip The URL in step 5 was correct as this book went to press. If you find it no longer accurate, search
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CHAPTER 6: Personal Information
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APPENDIX
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Building Blocks
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Updating MediaGrabber.java is trivial: simply rename RecordingChoicesScreen to ChoicesScreen. At this point, you will be able to build and run the latest incarnation of MediaGrabber. Give it a whirl! You ll want to run this on an actual device to get the best impact; the canned images and audio in the simulator leave a lot to be desired. Try recording whatever media your device supports, and also enter the URL for an external media file.
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One of the hallmarks of vibrant online communities is the presence of a common interest or theme that unites those who are involved. Whether this common interest is relatively broad or narrow, there are likely to be smaller but related topics that are of interest only to a subset of the community. For instance, on a music school site, the brass players might want to organize their own rehearsals and brass ensemble concerts. The ability for these people to band together and form a group is the main offering of the Organic Groups (OG) module. Groups have their own home page, can select their own theme (design template), can have content that is visible only to members of the group, and can have image galleries. Most important, they can be created and joined by users as the need arises, thus growing and thriving based on the current interests of the community. This is what makes them organic. Until this point, none of the content on your Drupal site has had any sort of node-level access control. This means that if user A and user B have the same roles, they both are able to see the same content. The Organic Groups module is one of the modules that implement node-level permissions to decide who can see content. If user A is in a group and user B is not, and if that group s content is private, user B will not be able to see the same content that user A sees, despite the fact that they have the same roles. Organic Groups isn t the only module in the contributions repository that implements node-level access controls. Other modules that provide access controls are Node Privacy by Role (http://drupal.org/project/node_privacy_byrole), Taxonomy Access Control (http:// drupal.org/project/taxonomy_access), and Nodeperm Role (http://drupal.org/project/ nodeperm_role). Unfortunately, these modules tend to interfere with each other. This is a basic weakness in the way Drupal s permissions are handled and is a topic of hot debate in the developer community. Be warned: do not try to mix multiple node-access modules!
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ApplicationPermissions current = permissions.getApplicationPermissions(); if (current.getPermission(ApplicationPermissions.PERMISSION_INPUT_SIMULATION) != ApplicationPermissions.VALUE_ALLOW || current.getPermission( ApplicationPermissions.PERMISSION_IDLE_TIMER) != ApplicationPermissions.VALUE_ALLOW) { // Deal with lack of permissions. }
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Table 4-5. Formatting Codes for printf-style String and Output Formatting
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Press F5 to run the application. You should see a screen that looks very similar to Figure 9 4 (minus the background image, perhaps). Flicking the Panorama control from right to left should allow you to see Arrivals and Departures plus a separate tab designated for searching airport schedules.
It is useful to understand this data type in case you come across it in any legacy systems that have been upgraded to SQL Server 2005. If you need to hold any character data that will always be longer than 8,000 characters, then you should not use varchar(max). This is where the text data type comes into play. These data types can hold up to 2 gigabytes of data, and could be used to hold notes about customers in a call center, for example. However, text data types are usually different from other data types. Because such a large amount of data can be stored in this data type, it doesn t make sense to store this data within each row of SQL Server. If you think about it, you would very quickly have a vast database holding very little data. Therefore, if you are storing data within this data type, the data itself is held elsewhere. A pointer is held within SQL Server in the column defined as a text data type, pointing to where the data is physically held. However, you can store up to 8,000 characters of physical data, if you wish, within this data type within the row; but really, if you have decided to use text as a data type, you are expecting large amounts of data, and therefore it would be best to keep the data outside the database. Microsoft has stated that keeping this data within a row will cease being supported in future versions of SQL Server.
These are the images we're going to use for the player's paddle. In a very simple game, we would just use a rectangle, but here we do a couple of unique things. We flip the paddle (left-right) as it moves to either side of the centerline...to simulate forehandbackhand action (playerPaddleLeft and playerPaddleRight). Also, if we're at either edge of the table, in a real game we would angle the paddle more to bring it back into play. In this case, we "tilt" the image of the paddle a bit to simulate this (playerPaddleLeftUp and playerPaddleRightUp). UIImage UIImage UIImage UIImage *playerPaddleLeft; *playerPaddleLeftUp; *playerPaddleRight; *playerPaddleRightUp; basic variables to keep track of things. playerScore; compScore; status;
You can export Nessus reports into HTML to make reviewing and saving them easy. There are companies that specialize in running automated scans of servers on behalf of institutions, such as credit card processors and insurance companies. These companies often simply rebrand a Nessus scan by replacing the images in the HTML exports. To export a scan, click the Export button in your report.
CHAPTER 3 USING THE DRUPAL CORE MODULES
## defaults requires absolute paths to the file! defaults write /Users/myuser/Desktop/myhost URL "afp://myhost.myco.com/MyCoShare" mv ~/Desktop/myhost.plist ~/Desktop/MyCoShare.afploc The contents of the .afploc are as follows: < xml version="1.0" encoding="UTF-8" > <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0"> <dict> <key>URL</key> <string>afp://192.168.210.2</string> </dict> </plist>
// Deconstruction function let internal getRepr p = table.FromUnique p You can construct terms using the operations in PropOps much as you would construct terms using the nonmemoized representation: > open PropOps;; > True;; val it : Prop = Prop 1 > And (Var "x",Var "y");; val it : Prop = Prop 5 > getRepr it;; val it : PropRepr = AndRepr(Prop 3, Prop 4) > And(Var "x",Var "y");; val it : Prop = Prop 5 In this example, when you create two syntax trees using the same specification, And (Var "x",Var "y"), you get back the same Prop object with the same stamp 5. You can also use memoization techniques to implement interesting algorithms; in 12, you see an important representation of propositional logic called a binary decision diagram (BDD) based on a memoization table similar to the previous example. The use of unique integer stamps and a lookaside table in the previous representation also has some drawbacks; it s harder to pattern-match on abstract syntax representations, and you may need to reclaim and recycle stamps and remove entries from the lookaside table if a large number of terms is created or if the overall set of stamps must remain compact. You can solve the first problem by using active patterns, covered next in this chapter. If necessary, you can solve the second problem by scoping stamps in an object that encloses the uniqStamp state, the lookaside table, and the construction functions. Alternatively, you can explicitly reclaim the stamps by using the IDisposable idiom described in 8, although this approach can be intrusive to your application.
ForEach Activity
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