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Table view offers the ability to select a field, and then count the number of unique instances of values in that field across all records in the currently active query. For example, in a database that has a field LASTNAME, you might wish to know how many SMITHS, how many JONES, and how many other names appear in the field, as well as the count of each name. This process is known as tallying.



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Lastly, the find =~ operator on line 14 will find the first match in the supplied String and, if used in an assignment as shown in the example, will return a java.util.regex.Matcher instance. A full discussion on regular expressions is rather beyond the scope of this book; nevertheless, what you have seen so far serves to introduce the capabilities Groovy has to offer in terms of regex support. The next section should be pretty interesting as we explore Groovy s closure support. The closure, as a construct, is beginning to get much traction among the software development community as the benefits (and also the limitations of languages that don t have them) have started to become abundantly clearer.

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iText 5-legacy : How to remove text from a PDF ?
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To accomplish this, you click into a record visible in Table view, hover your mouse over the contents of the field to be tallied, and then select the Tally option. Concordance begins counting the contents of the field. A tally window opens just above the Table view where ongoing results of the tally are displayed (see Figure 8-16). A progress bar appears at the bottom of the screen to give you a status of the tally as it progresses.

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Closures can essentially be seen as reusable code blocks (often called anonymous code blocks). At the syntax level, they are a sequence of statements surrounded by curly braces. They can be quite difficult to understand in the beginning at a conceptual level, but once you begin using them, it becomes hard to imagine how you ever lived without them.2 Let s take a look at the basic example shown in Listing A-7. Listing A-7. Simple Closure def square = { it * it } assert [1,4,9] == [1,2,3].collect(square) The previous example is similar to creating a function pointer in C, although the behavior of closures differs significantly. First you define a closure and assign it to a variable called square that takes the default argument and multiplies it by itself. The default argument in Groovy is called it and becomes useful for simple definitions. The square closure is then passed to another of Groovy s built-in methods called collect that will collect each element from the list and apply the passed closure to its value. In this case, the result is a list of numbers that represent the square root of each element in the original list. Clearly, it s useful to be able to pass blocks of code around in this fashion, but another useful way to use closures is inline as an argument to a method. This is like using an anonymous inner class in Java, except the syntax is significantly more elegant, as Listing A-8 demonstrates. Listing A-8. Groovy step Method def lastRevision = 0.9 0.1.step(lastRevision, 0.1) { currentRevision -> println( currentRevision ) }

2. Many people feel now is the time for Java to introduce closure support, and this may happen in the future. See http://mindprod.com/jgloss/closure.html for information on why Java doesn t currently support closures.

Figure 8-16. The Tally screen. The field that was tallied has a DATE data type. The Item column represents unique values stored in the field. The Count column represents the number of times the value appears in the database. The value 1980/01/27 appears in three records.

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The previous code steps through all the revisions of an imaginary version control repository and outputs each revision number. The last argument of the method is a closure, which is executed on each iteration (or step, if we re using the method s verb).

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