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object Because an adapter has no state beyond that of its backing object, there's no need to create more than one instance of a given adapter to a given object For example, the keySet method of the Map interface returns a Set view of the Map object, consisting of all the keys in the map Naively, it would seem that every call to keySet would have to create a new Set instance, but every call to keySet on a given Map object may return the same Set instance Although the returned Set instance is typically mutable, all of the returned objects are functionally identical: When one returned object changes, so do all the others because they're all backed by the same Map instance This item should not be misconstrued to imply that object creation is expensive and should be avoided On the contrary, the creation and reclamation of small objects whose constructors do little explicit work is cheap, especially on modern JVM implementations Creating additional objects to enhance the clarity, simplicity, or power of a program is generally a good thing Conversely, avoiding object creation by maintaining your own object pool is a bad idea unless the objects in the pool are extremely heavyweight A prototypical example of an object that does justify an object pool is a database connection The cost of establishing the connection is sufficiently high that it makes sense to reuse these objects Generally speaking, however, maintaining your own object pools clutters up your code, increases memory footprint, and harms performance Modern JVM implementations have highly optimized garbage collectors that easily outperform such object pools on lightweight objects The counterpoint to this item is Item 24 on defensive copying The present item says: Don't create a new object when you should reuse an existing one, while Item 32 says: Don't reuse an existing object when you should create a new one Note that the penalty for reusing an object when defensive copying is called for is far greater than the penalty for needlessly creating a duplicate object Failing to make defensive copies here required can lead to insidious bugs and security holes; creating objects unnecessarily merely affects style and performance.

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Documenting your WSDL The WSDL documents you ve seen so far contain lots of information on the operations, messages, and parameters exposed by a Web service However, they do not contain any information on what each operation actually does For example, the quote of the day service had an operation called getFortuneByDictionary which had one input parameter called dictionaryName How would a client know what values to pass in as the dictionaryName And how would they know what exactly the method does, that is, how would they know that the method returns quotes and definitions To provide such information, you can add documentation to your WSDL using <document> which may appear inside any WSDL element such as <operation> or <message> The <document> element has mixed content, that is, it can contain any combination of elements and text This is very useful because not only can you have documentation in the form of simple text, you can lso have HTML tags around parts of the documentation You might even want to structure your documentation using XML then apply an XSLT transformation to transform this XML documentation to HTML for the clients to read WSDL Imports. Draw 2 Of 5 Interleaved In .NET Framework Using Barcode printer for .Related: Print QR Code C# Size, Create QR Code .NET Image, Generate QR Code .NET WinForms

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Effective Java: Programming Language Guide public Complex divide(Complex c { float tmp = cre*cre + cim*cim; return new Complex((re*cre + im*cim)/tmp, (im*cre - re*cim)/tmp); } public boolean equals(Object o) { if (o == this) return true; if (!(o instanceof Complex)) return false; Complex c = (Complex)o; return (FloatfloatToIntBits(re) == // See page 33 to FloatfloatToIntBits(cre)) && // find out why (FloatfloatToIntBits(im) == // floatToIntBits FloatfloatToIntBits(im)); // is used } public int hashCode() { int result = 17 + FloatfloatToIntBits(re); result = 37*result + FloatfloatToIntBits(im); return result; } public String toString() { return "(" + re + " + " + im + "i)"; }.

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This class represents a complex number (a number with both real and imaginary parts) In addition to the standard Object methods, it provides accessors for the real and imaginary parts and provides the four basic arithmetic operations: addition, subtraction, multiplication, and division Notice how the arithmetic operations create and return a new Complex instance rather than modifying this instance This pattern is used in most nontrivial immutable classes It is known as the functional approach because methods return the result of applying a function to their operand without modifying it Contrast this to the more common procedural approach in which methods apply a procedure to their operand causing its state to change The functional approach may appear unnatural if you're not familiar with it, but it enables immutability, which has many advantages Immutable objects are simple An immutable object can be in exactly one state, the state in which it was created If you make sure that ll constructors establish class invariants, then it is guaranteed that these invariants will remain true for all time, with no further effort on your part or on the part of the programmer who uses the class Mutable objects, on the other hand, can have arbitrarily complex state spaces If the documentation does not provide a precise description of the state transitions performed by mutator methods, it can be difficult or impossible to use a mutable class reliably Immutable objects are inherently thread-safe; they require no synchronization They cannot be corrupted by multiple threads accessing them concurrently This is far and away the easiest approach to achieving thread safety In fact, no thread can ever observe any effect of another thread on an immutable object Therefore immutable objects can be shared freely Immutable classes should take advantage of this by encouraging clients to reuse existing instances wherever possible One easy way to do this is to provide public static final.

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Prior to Windows Server 2008, a maximum number of links could exist within a single namespace; this maximum number was 5,000 for a domain-based DFSN and 50,000 for a stand-alone DFSN Because of this limitation, it was sometimes necessary for companies to chain together multiple namespaces With Windows Server 2008, there is no limit imposed by DFSN However, there are still performance issues that may limit the number of links you can have in a namespace, but this ill be much higher than the old limits To avoid the limits, all domain controllers must be running Windows Server 2008 and the domain must be running in Windows Server 2008 mode, which means the new metadata and schema changes must have been propagated into the domain In terms of performance, the internal workings of DFS have been improved, providing much better performance than with previous DFS implementations, enabling faster link additions and the DFS server to start faster with large namespaces. GS1 - 12 In .NET Framework Using Barcode maker for . 15 DISTRIBUTED FILE SYSTEM. Draw Barcode In Visual Studio .NET .Related: Create QR Code ASP.NET Image, Create QR Code .NET WinForms Image, Generate QR Code Word

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Using Barcode Control SDK for VS NET Control to generate, create, read, scan barcode image in S NET applications Intermittent turbulence in self- similar cascades: divergence of high moments and dimension of the arrier J Fluid Mech, 62(2): 331 358, 1974 52 J F Muzy, E Bacry, and A Arneodo The multifractal formalism revisited with wavelets Int J Bifurc Chaos, 4(2):245 301, 1994 53 I Norros, P Mannersalo, and J L Wang Simulation of fractional Brownian motion with conditionalized random midpoint displacement Preprint, Oct 1998 54 A Papoulis Probability, Random Variables, and Stochastic Processes, 2nd ed McGrawHill, New York, 1984 55 V Paxson Fast approximation of self-similar network traf c Preprint, 1995 56 R Peltier and J Levy-Vehel Multifractional Brownian motion: de nition and preliminary results Submitted to Stochastic Processes and Their Applications, 1997 57 B Pesquet-Popescu Statistical properties of the wavelet decomposition of some nonGaussian self-similar processes.

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