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Listing 8-9 demonstrates a local service by implementing a service that executes background tasks. The listing contains all of the artifacts required to create and consume the service: BackgroundService.java, the service itself; MainActivity.java, an activity class to call the service; and main.xml, a layout file for the activity.

Intent directIntent = new Intent(activity, BasicViewActivity.class); activity.start(directIntent);

You can encapsulate impure operations within functions or closures Doing this does hide the operation from the user of that function, but it taints that function because it does have side effects (you just have to look harder to see them) This is true unless, of course, the side effects do not escape that function..

If you want any type of intent to start an activity, however, you should register the activity in the Android.Manifest.xml file like this:

No intent-filters are necessary for invoking an activity directly through its class name or component name.

Listing 8-9. Implementing a Local Service // BackgroundService.java import import import import import import android.app.Notification; android.app.NotificationManager; android.app.PendingIntent; android.app.Service; android.content.Intent; android.os.IBinder;

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# let freq item lst = let newlst = List.map (fun x -> item = x) lst in let counter = ref 0 in List.iter (fun x -> if x then incr counter ) newlst; !counter;; val freq : 'a -> 'a list -> int = <fun> # freq 'e' ['a';'e';'i';'o';'u';'e'];; - : int = 2 Just for the sake of completeness, the previous example can be rewritten in a pure style quite simply: # let freq item lst = let newlist = List.filter (fun x -> x = item) lst in List.length newlist;; val freq : 'a -> 'a list -> int = <fun> # freq 'e' ['a';'e';'i';'o';'u';'e'];; - : int = 2 The functional implementation is, arguably, more elegant than the imperative one.

If you look at the design for the contacts application in Android, you will notice some patterns for designing with intents. To make intents known to the clients of this application, the contacts application defines them in three classes in a package called android.provider.contacts. These three classes are as follows:

The top-level class contacts.Intents defines the primary intents that the contacts application will respond to and the events that the app generates as it does its work. The nested class contacts.Intents.Insert defines the supporting intents and other constants to insert new records. The contacts.Intents.UI nested class defines a number of ways to invoke the UI. The intents also clarify the extra information needed to invoke them, including key names and their expected value types. As you design your own content providers and activities that act upon those content providers, you might want to follow this pattern for making intents explicit by defining constants for them in interfaces or classes.

public class BackgroundService extends Service { private NotificationManager notificationMgr; @Override public void onCreate() { super.onCreate(); notificationMgr =(NotificationManager)getSystemService( NOTIFICATION_SERVICE); displayNotificationMessage("starting Background Service"); Thread thr = new Thread(null, new ServiceWorker(), "BackgroundService"); thr.start(); } class ServiceWorker implements Runnable { public void run() { // do background processing here... // stop the service when done... // BackgroundService.this.stopSelf(); } } @Override public void onDestroy() { displayNotificationMessage("stopping Background Service"); super.onDestroy(); }

You should approach the impurity of OCaml the same way you approach any feature in the language: use it if it works for you. The imperative features of OCaml are there to help you solve problems. There are other features to make using these features maintainable and workable for the programmer, but they sometimes require more thought than they do in other languages. This chapter covers one of the more fuzzy areas of OCaml. The fact that OCaml comes from the wrong side of the tracks, as it were, of the programming community makes it important to talk about these things. For now, OOP rules the popular programming languages. OOP stole the crown from the structured programming community, who stole it from the one before, and so on. There is nothing in the OOP world to indicate why it will not lose its dominance some day, too. That day might not belong to functional programming languages, but it is likely that functional programming will continue to affect the programming world. It will most certainly affect the programmers of the world, which is more important, anyway. 20 discusses functional programming in particular. You have seen that OCaml is not purely functional; in the next chapter you will see that OCaml is quite functional.

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