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The semicolon makes it possible for the C# compiler to ignore whitespace in code Apart from a few exceptions, C# allows developers to insert whitespace throughout the code without altering its semantic meaning In Listing 15 and Listing 16, it didn't matter whether a newline was inserted within a statement or between statements, and doing so had no effect on the resulting executable created by the compiler
For the content provider, we use the built-in ArrayContentProvider class that maps an input collection to an array The input object is set using the
(i) =
setInput()
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that sorts the elements based on a person's last name Finally, a selection changed listener and double click listener are added that override the selectionChanged()
(16.3)
The Person domain model class for this and the next few examples looks like this:
Frequently, programmers use whitespace to indent code for greater readability Consider the two variations on HelloWorld, as shown in Listing 17 and Listing 18
public class Person { public String firstName = "John"; public String lastName = "Doe"; public int age = 37; public Person[] children = new Person[0]; public Person parent = null; public Person(String firstName, String lastName,
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int age) { thisfirstName = firstName; thislastName = lastName; thisage = age; } public Person(String firstName, String lastName, int age, Person[] children) { this(firstName, lastName, age); thischildren = children; for (int i = 0; i < childrenlength; i++) { children[i]parent = this; } } public static Person[] example() { return new Person[] { new Person("Dan", "Rubel", 38, new Person[] { new Person("Beth", "Rubel", 8), new Person("David", "Rubel", 3)}), new Person("Eric", "Clayberg", 39, new Person[] { new Person("Lauren", "Clayberg", 6), new Person("Lee", "Clayberg", 4)}), new Person("Mike", "Taylor", 52) }; } public String toString() { return firstName + " " + lastName; } }
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Here wi+ is the rate at which neuron i sends excitation spikes to neuron j when i is excited, j and wi is the rate at which neuron i sends inhibition spikes to neuron j when i is excited j and r (i) is the total ring rate from the neuron i. For an n neuron network, the network parameters are these n by n weight matrices W+ = wi+ and W = wi which need j j to be learned from input data. Various techniques for learning may be applied to the RNN. These include reinforcement learning and gradient-based learning, which are used in the following. Given some goal G that the CP has to achieve as a function to be to be minimized [i.e. transit delay or probability of loss, or a weighted combination of the two as in Equation (16.1)], a reward R is formulated which is simply R = 1/G. Successive measured values of the R are denoted by Rl, l = 1, 2, . . . These are rst used to compute a decision threshold: Tl = aTl 1 + (1 a)Rl (16.4)
class HelloWorld { static void Main() { SystemConsoleWriteLine("Hello Inigo Montoya"); } }
517 TableViewers The TableViewer class wraps the Table widget A table viewer provides an editable, vertical, multi-column list of items showing a row of cells for each item in the list where each cell represents a different attribute of the item at that row A table viewer needs to be configured with a label provider, a con-
class HelloWorld{static void Main() {SystemConsoleWriteLine("Hello Inigo Montoya");}}
tent provider and a set of columns The CheckboxTableViewer enhances this further by adding support for graying out individual items and toggling on and off an associated check box with each item Useful APIs include:
where a is some constant 0 < a < 1, typically close to 1. Now an RNN with (at least) as many nodes as the decision outcomes is constructed. Let the neurons be numbered 1, . . . , n.
add(Object)
Although these two examples look significantly different from the original program, the C# compiler sees them as identical
method should be called (by the content provider) when a single element has been added to the model, in order to cause the viewer to accurately reflect the model This method only affects the viewer, not the model
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