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Is the answer always China Tall Eye: This app shows you where you will go if you walk directly, in a straight line, around the earth, starting at one point and staying on a specific bearing all the way around..

The way to process annotations with J2SE 5.0 was to use a library called the Mirror API. The Mirror API contains two parts: one for the processor, in the com.sun.mirror.apt package; and the other for a series of support classes that model the language. The language modeling piece stays put for Java SE 6, while the apt pieces relocate to the javax.annotation.processing package, with a few changes.

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For your final exercise, you are going to begin with some boilerplate code that suits our basic requirements, and you will then modify it from there. I will tour you through some of the same building blocks and files that you ve seen throughout this book, and I will be challenging you to see what areas of the code are pretty much the same as what you ve encountered and what areas are different given the nature of this application. The ability to recognize patterns and to see structures just under the surface is a powerful aptitude that we all have, but we programmers cultivate ours to a heightened degree. So, be on the lookout for phrases, statements, suffixes, prefixes grammatical hooks, as it were that you can build on, modify, and/or revise. Play a little game: see if you can anticipate some of the moves I will have you take.

Note For information on the Mirror API, visit http://java.sun.com/j2se/1.5.0/docs/guide/

When the number of distinct values is greater than the maximum number of allowed buckets (254), you cannot use frequency histograms because they support a single value per bucket. This is where height-balanced histograms become useful. To create a height-balanced histogram, think of the following procedure. First, a frequency histogram is created. Then, as shown in Figure 4-5, the values of the frequency histogram are stacked in a pile. Finally, the pile is divided into several buckets of exactly the same height. For example, in Figure 4-5 the pile is split into five buckets.

We are going to consider a wide variety of components that we may want to build in to our app Before that, though, I want to make sure we are all on the same page with terminology We programmers need to recall some basic earth science and geography so that our code will be as effective as possible When we direct the computer to animate a pin dropping down, with annotations, onto a specific location, giving longitude and latitude, we need to know what these terms really mean Lines of latitude are the imaginary lines that circle the globe horizontally, running east to west (or west to east) These invisible lines are measured in degrees, minutes, and seconds, north or south of the Equator.

apt/mirror/overview-summary.html. It is now released under a BSD license and available at https://aptmirrorapi.dev.java.net.

The Equator is the elliptical locus of points on the Earth s surface midway between the poles, which themselves are real points physically defined by the Earth s rotation on its axis Lines of latitude are often referred to as parallels The North Pole is 90 degrees north latitude; the South Pole is 90 degrees south latitude Lines of longitude, on the other hand, which are often called meridians, are imaginary vertical lines (ellipses) always crossing through the North and South Poles They are also measured in degrees, minutes, and seconds, east or west of the Prime Meridian, an arbitrary standard that runs through Greenwich, England.

Figure 4-5. Transformation of a frequency histogram into a height-balanced histogram The following query is an example of how to produce such a height-balanced histogram for the column val2. Figure 4-6 shows a graphical representation of the data it returns. Notice how the endpoint value of each bucket is the value at the point where the split occurs. In addition, a bucket 0 is added to store the minimum value. SQL> 2 3 4 5 6 7 SELECT count(*), max(val2) AS endpoint_value, endpoint_number FROM ( SELECT val2, ntile(5) OVER (ORDER BY val2) AS endpoint_number FROM t ) GROUP BY endpoint_number ORDER BY endpoint_number;

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