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This is the iterator for MyClass. Notice that it implicitly implements the GetEnumerator( ) method defined by IEnumerable. Now, look at the body of the method. It contains a foreach loop that returns the elements in chrs. It does this through the use of a yield return statement. The yield return statement returns the next object in the collection, which in this case is the next character in chrs. This feature enables mc (a MyClass object) to be used within the foreach loop inside Main( ). The term yield is a contextual keyword in the C# language. This means that it only has special meaning inside an iterator block. Outside of an iterator, yield can be used like any other identifier. One important point to understand is that an iterator does not need to backed by an array or other type of collection. It simply must return the next element in a group of elements. This means the elements can be dynamically constructed using an algorithm. For example, here is a version of the previous program that returns all uppercase letters in the alphabet. Instead of using an array, it generates the letters using a for loop.
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If you re typesetting an article using an Asian font, Language spacing will be useful to space non-left-to-right sentences; otherwise, you have very little use for this option. You can set how much extra space is added to the default intercharacter space for the paragraph as a whole by using the Character spacing. The values are a percentage of a normal space character for the current font. You can also modify the interword spacing this has the effect of adjusting the width of the space character. The following illustration shows some
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// Assigning array reference variables. using System; class AssignARef { static void Main() { int i; int[] nums1 = new int[10]; int[] nums2 = new int[10]; for(i=0; i < 10; i++) nums1[i] = i; for(i=0; i < 10; i++) nums2[i] = -i; Console.Write("Here is nums1: "); for(i=0; i < 10; i++) Console.Write(nums1[i] + " "); Console.WriteLine(); Console.Write("Here is nums2: "); for(i=0; i < 10; i++) Console.Write(nums2[i] + " "); Console.WriteLine(); nums2 = nums1; // now nums2 refers to nums1 Console.Write("Here is nums2 after assignment: "); for(i=0; i < 10; i++) Console.Write(nums2[i] + " "); Console.WriteLine(); // Next, operate on nums1 array through nums2. nums2[3] = 99; Console.Write("Here is nums1 after change through nums2: "); for(i=0; i < 10; i++) Console.Write(nums1[i] + " "); Console.WriteLine(); } }
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Other than these restrictions, all other appliance features are supported. For example, if you had the need, you could set up one context to run in routed mode and another in transparent mode; you could set up address translation in one context, and use a different address translation policy in a second context; you could have the IPS card for the ASAs process traffic for two contexts, but not a third context; you could have different filtering and inspection policies for the different contexts; and I could go on and on with the flexibility of implementing policies with contexts.
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As illustrated in Figure 12.3, the MAC is comprised of the MAC control sublayer and the MAC datapath sublayer. The MAC datapath sublayer is comprised of the ringlet selection entity and the datapaths for the two ringlets. These components and their interconnections are illustrated in Figure 12.3 within the context of a single station view of the MAC architecture. Figure 12.3 also shows the activities implemented by each block within the MAC. The main activities are further described in the following paragraphs. Bandwidth management is done to maintain fairness for fairness eligible frames (those without or beyond allocated bandwidth), with mechanisms to assure that all stations receive their fair share of ring capacity across the links being used by the stations, where the fair share is not necessarily the same for all stations. The fairness algorithm ensures weighted dynamic distribution of available link bandwidths to source stations using those links. The fairness procedure has the following characteristics:
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Fig. 1.29
Network Manager SNMP Agent Issues
Representative wavelength (microns)
Because of the nature of digital signals, they can maintain a relatively high quality at the receiver even when close to becoming unreadable as a result of impairments. This makes the testing of a digital signal for its merits at the receiver of little use, since the digital signal may actually be only a few dB in signal strength from crashing the entire link. This is referred to as the cliff (or waterfall) effect, due to the rapid degradation, or complete elimination, of the digital signal. BER will lessen to unacceptably high levels quite rapidly (Fig. 2.32). But digital communication systems can be examined for proper operation by sending and receiving certain digital test patterns that incorporate a recurring succession of logical 1 s and 0 s. The test then compares the impaired received pattern to the perfect transmitted pattern. The BER can then be established by contrasting the bits received that were incorrect with the total number of bits received. This degradation in digital signal quality can be caused by many things: reflections off metallic surfaces (multipath), producing amplitude ripple within the signal s passband; inadequate signal strength at the receiver creating decreased SNR and a corresponding blurring of the symbol points (poor SNR can be due to transmitter power levels being too low, high receiver noise figure (NF), or path attenuation caused by trees, weather, or Fresnel zone clearance problems); group delay variations and amplitude ripple produced by improper analog filtering; strong phase noise components in the frequency synthesizers of the conversion stages; or noise and cochannel interference levels induced by interferers of all types. Since many communication systems live or die by their bit-error rate figures, it is therefore worthwhile to not only recapitulate what the dominant causes of BER degradation are in a digital communications system, but also to dig a little deeper into the reasons behind this increase in BER. Decreased signal-to-noise ratio is the main mechanism for poor BER, since noise will smudge the symbol points, making their exact location hard to distinguish by the receiver s demodulator. Phase noise, another important contributor, will cause an input signal into a radio s frequency converter stage to be slightly changed at its output; this phase noise is introduced by the real-world local oscillators (LOs) of a communication system, since the LOs are not perfect sin-
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// Demonstrate a namespace. #include <iostream> using namespace std; namespace CounterNameSpace { int upperbound; int lowerbound; class counter { int count; public: counter(int n) { if(n <= upperbound) count = n; else count = upperbound; } void reset(int n) { if(n <= upperbound) count = n;
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