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allows developers to specify a size, which can improve efficiency if large amounts of data are going to be read The buffer size specified must be greater than or equal to one

The key issue at this stage is to decide which pattern or patterns are most appropriate for the problem

Use a function to request the count:

Methods No additional methods are provided by the BufferedInputStream class However, it does override the markSupported() method, indicating that it supports the mark(int) and reset() methods 4322 DataInputStream Class A frequent task in any programming language is reading and writing primitive data types such as numbers and characters These information types are not easily represented as bytes (for example, some data types take up more than one byte of information) Developers should not be concerned, how-ever, with the way in which representation occurs Instead, the data types can be read simply by invoking methods of the DataInputStream class, which handles the translation automatically This class implements the javaio DataInput interface NOTE Readers should be aware that only conversion from byte(s) to a data type is performed Reading a character by invoking the readChar() method won't convert a byte value into a number It is a common mistake to think that a byte value, for example 0009, will be converted into the numerical character 9

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First of all, we need to keep in mind that different aspects of the analysis can pull the design in different directions; one aspect might suggest one structure while another suggests a different structure In nearly every case, however, the following forces should be kept in mind

Many methods are added to the DataInputStream class, in order to facilitate access to new data types

List the attribute names specifically:

Efficiency It is crucial that a parallel program run quickly and make good use of the computer resources Simplicity A simple algorithm resulting in easy to understand code is easier to develop, debug, verify, and modify Portability Ideally, programs should run on the widest range of parallel computers This will maximize the "market" for a particular program More importantly, a program is used for many years, while any particular computer system is used for only a few years Portable programs protect a software investment Scalability Ideally, an algorithm should be effective on a wide range of numbers of processing elements (PEs), from a few up to hundreds or even thousands

boolean readBoolean() throws javaioEOFException javaio IOException reads a byte from the input stream, and returns "true" if the byte is

These forces conflict in several ways, however Efficiency conflicts with portability: Making a program efficient almost always requires that the code take into account the characteristics of the specific system on which it is intended to run, which limits portability A design that makes use of the special features of a particular system or programming environment may lead to an efficient program for that particular environment, but be unusable for a different platform, either because it performs poorly or because it is difficult or even impossible to implement for the new platform Efficiency also can conflict with simplicity: For example, to write efficient programs that use the Task Parallelism pattern, it is sometimes necessary to use complicated scheduling algorithms These algorithms in many cases, however, make the program very difficult to understand Thus, a good algorithm design must strike a balance between (1) abstraction and portability and (2) suitability for a particular target architecture The challenge faced by the designer, especially at this early phase of the algorithm design, is to leave the parallel algorithm design abstract enough to support portability while ensuring that it can eventually be implemented effectively for the parallel systems on which it will be executed

The size of an explicit attribute list can be from 1 to 256A comma is used to separate attribute names when more than one is given Each attribute name in this list is subject to the Select quoting rule for names (as discussed previously)You can also request the item name by including the function itemName() in the list:

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