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* Create a circuit to evaluate (x1 or not(x1)) and then * verify that its result is true for all values of x1. */ public void testAlwaysTrue() { Circuit alwaysTrue = CircuitFactory.join( CircuitFactory.getTrivialCircuit(), CircuitFactory.getBasicCircuit(Operation.NEG), Operation.OR ); Stack<Character> s = new Stack<Character> (); s.addAll(Arrays.asList('0', '0')); assertEquals ("'1' for '00'", '1', alwaysTrue.evaluate(s)); s.addAll(Arrays.asList('1', '1')); assertEquals ("'1' for '11'", '1', alwaysTrue.evaluate(s)); } This solution required a value of each variable to be specified on input as many times as it was used. As a result, the evaluation of x1 OR NOT(x1) is a tautology, because it s a logical expression that is always true. However, some of the APIs sometimes allowed it to yield false, in case the input of the API was not consistent. Again, this solution satisfied all the tasks for the API Design Fest and was therefore accepted into the next round. However, it s different from the others. Because the starting line for the next round should be the same point for the whole solution, the appropriate action should have been to insert a Day 1 and a half round, during which time the APIs should have been fixed so that they reached a similar level.

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You absolutely do not have to convert PDF to Excel. First of all, please determine whether your PDF contains textual data, or it is scanned image. If it contains ...

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Introducing the Global Assembly Cache (GAC)

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The results of an execution plan can sometimes be non-intuitive because the optimizer will determine that using an index is too costly. Or the optimizer might determine that a full table scan is more efficient than using an index. When developing queries, it s sometimes useful to write in stages and analyze the execution plan after each stage. For example, you may have a query that joins five tables and has several conditions in the WHERE clause. Don t wait until you have the fully developed query to generate an explain plan. Instead, generate an execution plan as you iteratively add tables and conditions to the WHERE clause. If you generate an explain plan with statistics turned on (via SET AUTOTRACE ON STATISTICS) you will also see output such as this: Statistics ---------------------------------------------------------276 recursive calls 0 db block gets 51 consistent gets 7 physical reads 0 redo size 583 bytes sent via SQL*Net to client 524 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 4 sorts (memory) 0 sorts (disk) 3 rows processed These statistics are described in Table 19-5. In general, one of the goals of query tuning is to try to reduce the number of consistent gets required by a query. Table 19-5. Execution Plan Statistics

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The APIs for the representation of boolean circuits created during the first day of the API Design Fest were divided into various groups. The most common group represents a classic example of the defensive programming approach: Never expose more than you need to expose. Although there were small differences, these solutions included day1/alwayscreatenewcircuit, day1/ inputandoperation, day1/pinbasedsolution, day1/elementbasedsolution, and partially also day1/stackbasedsolution. These don t expose constructors. They use factory methods. They provide classes that should not be subclassed. They use package private methods for mutual communication. In other words, these solutions are examples of the less is more design approach. Here is the sample code of day1/elementbasedsolution, which has not yet been discussed: public final class Circuit { private Circuit() { } public static Element and(final Element e1, final Element e2) { return new Element() { public boolean result() { return e1.result() && e2.result(); }

Preliminary work performed by Oracle such as checking syntax, semantics, permissions, looking up data dictionary information, and so on. Number of times Oracle needs the current version of a block.

At this point, I ve introduced assemblies as units of deployable code that can contain an entry point for an executable application, with the exception of a library assembly, which is used as a reference. These are typically located on disk, and the manifest describes their version number, which is then resolved at runtime by the class loader within the CLR. I ve also discussed how you go about referencing one or more assemblies and how the Mono framework locates a referenced assembly using a number of predefined methods, such as an Executables directory, environment variable, and the GAC. The GAC is a single repository on disk for all assemblies that can then be referenced at runtime by your application. The class loader will handle this automatically, referring to the GAC only when its previous search patterns have failed. The GAC is a great place to install common assemblies that may be used by one or more applications. It s worth noting that while the CLR has knowledge of the GAC for resolving referenced assemblies, the compiler does not. The compiler will therefore need to be told of the existence of an assembly in the GAC through the use of packages that are then referenced by the compiler using the -pkg command-line option. I ll now cover the GAC in more detail, discussing its purpose, benefits, and the gacutil tool for manipulating assemblies within it. Table 5-2 lists the command-line options supported by the utility.

Table 19-5. Execution Plan Statistics (continued)

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