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If neither file W.java nor Y.java contain explicit import directives, then it is as if a brick wall exists between the two packages. That is, within file W.java, We may reference symbols W and X as valid types, because they both coexist within package A. However, we cannot reference symbols Y or Z from within W.java without the benefit of an import directive, these are undefined symbols as far as the Java compiler is concerned. This is represented conceptually in Figure 13-29.

Before we move on to the ALTER TABLE command in the next section, let s briefly revisit numbers. The Oracle DBMS has always stored NUMBER values in a proprietary internal format, to maintain maximum portability to the impressive list of different platforms (operating systems) that it supports. The NUMBER datatype is still the best choice for most columns containing numeric data. However, the internal storage of this datatype implies some processing overhead, especially when you are performing many nontrivial numerical computations in your SQL statements. Since Oracle Database 10g you can also store floating-point numbers in your table columns. Floating-point numbers don t offer the same precision as NUMBER values, but they may result in better response times for numerical computations. You can choose between two floating-point datatypes: BINARY_FLOAT: 32-bit, single precision BINARY_DOUBLE: 64-bit, double precision

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Just keep in mind that a {% load %} statement will load tags/filters for the given Python module name, not the name of the application Once you ve created that Python module, you ll just have to write a bit of Python code, depending on whether you re writing filters or tags To be a valid tag library, the module must contain a module-level variable named register that is a templateLibrary instance This templateLibrary instance is the data structure in which all the tags and filters are registered So, near the top of your module, insert the following: from django import template register = templateLibrary().

Figure 13-29. Without the use of import directives, the classes in package A are unaware of the existence of the classes in package B, and vice versa.

If we amend the code of W.java to include an import directive, as shown in bold in the following code, but do not amend the code of Y.java // W.java package A; import B.*; public class W { ... } class X { ... } // End of file W.java. then it is conceptually as if we ve punched a one-way viewing port through the brick wall that is, the classes within package A will now be aware of, and will be able to use, the types declared as public in package B, namely type/class Y. Type Z, as a package accessible class within B, will remain unknown/undefined to the classes within A, however. And, of course, since we haven t included a directive to import A.*; in source file Y.java, then both W and X remain unknown as symbols/types to the classes in B. This is depicted in Figure 13-30.

You can also specify floating-point constants (literals) in your SQL statements with a suffix f (single precision) or d (double precision), as shown in Listing 7-1. Listing 7-1. Floating-Point Literals SQL> select 5.1d, 42f from dual; 5.1D 42F ---------- ---------5.1E+000 4.2E+001 SQL> We won t use these two floating-point datatypes in this book. See Oracle SQL Reference for more details.

Note For a good number of examples, read the source code for Django s default filters and tags. They re

Figure 13-30. Including an import B.*; directive in W.java makes the public classes of B visible to the classes within A. The bottom line is that when we bundle together classes in logical groupings/packages, We declare those classes that are likely to have utility outside of the walls of a given package for example, Transcript as having public visibility. We allow those classes that are only of utility within a package s own classes for example, TranscriptEntry, which is only of utility to the Transcript class to default to package accessibility.

Recall our discussion of variable initialization earlier in this book:

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